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<url><loc>https://scifaro.com/en/abs/the-on-line-shortest-path-problem-under-partial-monitoring-0704.1020</loc><lastmod>2007-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-on-line-shortest-path-problem-under-partial-monitoring-0704.1020"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/the-on-line-shortest-path-problem-under-partial-monitoring-0704.1020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-on-line-shortest-path-problem-under-partial-monitoring-0704.1020"/></url>
<url><loc>https://scifaro.com/zh/abs/the-on-line-shortest-path-problem-under-partial-monitoring-0704.1020</loc><lastmod>2007-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-on-line-shortest-path-problem-under-partial-monitoring-0704.1020"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/the-on-line-shortest-path-problem-under-partial-monitoring-0704.1020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-on-line-shortest-path-problem-under-partial-monitoring-0704.1020"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-network-approach-to-ordinal-regression-0704.1028</loc><lastmod>2007-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-network-approach-to-ordinal-regression-0704.1028"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/a-neural-network-approach-to-ordinal-regression-0704.1028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-network-approach-to-ordinal-regression-0704.1028"/></url>
<url><loc>https://scifaro.com/zh/abs/a-neural-network-approach-to-ordinal-regression-0704.1028</loc><lastmod>2007-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-network-approach-to-ordinal-regression-0704.1028"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/a-neural-network-approach-to-ordinal-regression-0704.1028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-network-approach-to-ordinal-regression-0704.1028"/></url>
<url><loc>https://scifaro.com/en/abs/parametric-learning-and-monte-carlo-optimization-0704.1274</loc><lastmod>2011-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametric-learning-and-monte-carlo-optimization-0704.1274"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/parametric-learning-and-monte-carlo-optimization-0704.1274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametric-learning-and-monte-carlo-optimization-0704.1274"/></url>
<url><loc>https://scifaro.com/zh/abs/parametric-learning-and-monte-carlo-optimization-0704.1274</loc><lastmod>2011-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametric-learning-and-monte-carlo-optimization-0704.1274"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/parametric-learning-and-monte-carlo-optimization-0704.1274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametric-learning-and-monte-carlo-optimization-0704.1274"/></url>
<url><loc>https://scifaro.com/en/abs/preconditioned-temporal-difference-learning-0704.1409</loc><lastmod>2012-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preconditioned-temporal-difference-learning-0704.1409"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/preconditioned-temporal-difference-learning-0704.1409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preconditioned-temporal-difference-learning-0704.1409"/></url>
<url><loc>https://scifaro.com/zh/abs/preconditioned-temporal-difference-learning-0704.1409</loc><lastmod>2012-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preconditioned-temporal-difference-learning-0704.1409"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/preconditioned-temporal-difference-learning-0704.1409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preconditioned-temporal-difference-learning-0704.1409"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-the-inapproximability-of-correlation-clustering-0704.2092</loc><lastmod>2009-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-the-inapproximability-of-correlation-clustering-0704.2092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-the-inapproximability-of-correlation-clustering-0704.2092"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-feature-selection-via-dependence-estimation-0704.2668</loc><lastmod>2007-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-feature-selection-via-dependence-estimation-0704.2668"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/supervised-feature-selection-via-dependence-estimation-0704.2668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-feature-selection-via-dependence-estimation-0704.2668"/></url>
<url><loc>https://scifaro.com/zh/abs/supervised-feature-selection-via-dependence-estimation-0704.2668</loc><lastmod>2007-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-feature-selection-via-dependence-estimation-0704.2668"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/supervised-feature-selection-via-dependence-estimation-0704.2668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-feature-selection-via-dependence-estimation-0704.2668"/></url>
<url><loc>https://scifaro.com/en/abs/hmm-speaker-identification-using-linear-and-non-linear-merging-techniques-0705.1585</loc><lastmod>2007-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hmm-speaker-identification-using-linear-and-non-linear-merging-techniques-0705.1585"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/hmm-speaker-identification-using-linear-and-non-linear-merging-techniques-0705.1585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hmm-speaker-identification-using-linear-and-non-linear-merging-techniques-0705.1585"/></url>
<url><loc>https://scifaro.com/zh/abs/hmm-speaker-identification-using-linear-and-non-linear-merging-techniques-0705.1585</loc><lastmod>2007-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hmm-speaker-identification-using-linear-and-non-linear-merging-techniques-0705.1585"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/hmm-speaker-identification-using-linear-and-non-linear-merging-techniques-0705.1585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hmm-speaker-identification-using-linear-and-non-linear-merging-techniques-0705.1585"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-mechanics-of-nonlinear-on-line-learning-for-ensemble-teachers-0705.2318</loc><lastmod>2009-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-mechanics-of-nonlinear-on-line-learning-for-ensemble-teachers-0705.2318"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/statistical-mechanics-of-nonlinear-on-line-learning-for-ensemble-teachers-0705.2318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-mechanics-of-nonlinear-on-line-learning-for-ensemble-teachers-0705.2318"/></url>
<url><loc>https://scifaro.com/zh/abs/statistical-mechanics-of-nonlinear-on-line-learning-for-ensemble-teachers-0705.2318</loc><lastmod>2009-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-mechanics-of-nonlinear-on-line-learning-for-ensemble-teachers-0705.2318"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/statistical-mechanics-of-nonlinear-on-line-learning-for-ensemble-teachers-0705.2318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-mechanics-of-nonlinear-on-line-learning-for-ensemble-teachers-0705.2318"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-monotonization-of-the-training-set-0705.2765</loc><lastmod>2007-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-monotonization-of-the-training-set-0705.2765"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/on-the-monotonization-of-the-training-set-0705.2765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-monotonization-of-the-training-set-0705.2765"/></url>
<url><loc>https://scifaro.com/zh/abs/on-the-monotonization-of-the-training-set-0705.2765</loc><lastmod>2007-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-monotonization-of-the-training-set-0705.2765"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/on-the-monotonization-of-the-training-set-0705.2765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-monotonization-of-the-training-set-0705.2765"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-model-of-working-set-selection-for-smo-decomposition-methods-0706.0585</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-model-of-working-set-selection-for-smo-decomposition-methods-0706.0585"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/a-novel-model-of-working-set-selection-for-smo-decomposition-methods-0706.0585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-model-of-working-set-selection-for-smo-decomposition-methods-0706.0585"/></url>
<url><loc>https://scifaro.com/zh/abs/a-novel-model-of-working-set-selection-for-smo-decomposition-methods-0706.0585</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-model-of-working-set-selection-for-smo-decomposition-methods-0706.0585"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/a-novel-model-of-working-set-selection-for-smo-decomposition-methods-0706.0585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-model-of-working-set-selection-for-smo-decomposition-methods-0706.0585"/></url>
<url><loc>https://scifaro.com/en/abs/a-tutorial-on-conformal-prediction-0706.3188</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-conformal-prediction-0706.3188"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/a-tutorial-on-conformal-prediction-0706.3188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-conformal-prediction-0706.3188"/></url>
<url><loc>https://scifaro.com/zh/abs/a-tutorial-on-conformal-prediction-0706.3188</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-conformal-prediction-0706.3188"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/a-tutorial-on-conformal-prediction-0706.3188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-conformal-prediction-0706.3188"/></url>
<url><loc>https://scifaro.com/en/abs/scale-sensitive-psi-dimensions-the-capacity-measures-for-classifiers-taking-values-in-r-q-0706.3679</loc><lastmod>2007-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scale-sensitive-psi-dimensions-the-capacity-measures-for-classifiers-taking-values-in-r-q-0706.3679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scale-sensitive-psi-dimensions-the-capacity-measures-for-classifiers-taking-values-in-r-q-0706.3679"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-time-in-the-creation-of-knowledge-0707.0498</loc><lastmod>2007-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-time-in-the-creation-of-knowledge-0707.0498"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/the-role-of-time-in-the-creation-of-knowledge-0707.0498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-time-in-the-creation-of-knowledge-0707.0498"/></url>
<url><loc>https://scifaro.com/zh/abs/the-role-of-time-in-the-creation-of-knowledge-0707.0498</loc><lastmod>2007-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-time-in-the-creation-of-knowledge-0707.0498"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/the-role-of-time-in-the-creation-of-knowledge-0707.0498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-time-in-the-creation-of-knowledge-0707.0498"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-of-the-group-lasso-and-multiple-kernel-learning-0707.3390</loc><lastmod>2008-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-of-the-group-lasso-and-multiple-kernel-learning-0707.3390"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/consistency-of-the-group-lasso-and-multiple-kernel-learning-0707.3390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-of-the-group-lasso-and-multiple-kernel-learning-0707.3390"/></url>
<url><loc>https://scifaro.com/zh/abs/consistency-of-the-group-lasso-and-multiple-kernel-learning-0707.3390</loc><lastmod>2008-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-of-the-group-lasso-and-multiple-kernel-learning-0707.3390"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/consistency-of-the-group-lasso-and-multiple-kernel-learning-0707.3390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-of-the-group-lasso-and-multiple-kernel-learning-0707.3390"/></url>
<url><loc>https://scifaro.com/en/abs/cost-minimising-strategies-for-data-labelling-optimal-stopping-and-active-learning-0708.1242</loc><lastmod>2007-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-minimising-strategies-for-data-labelling-optimal-stopping-and-active-learning-0708.1242"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/cost-minimising-strategies-for-data-labelling-optimal-stopping-and-active-learning-0708.1242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-minimising-strategies-for-data-labelling-optimal-stopping-and-active-learning-0708.1242"/></url>
<url><loc>https://scifaro.com/zh/abs/cost-minimising-strategies-for-data-labelling-optimal-stopping-and-active-learning-0708.1242</loc><lastmod>2007-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-minimising-strategies-for-data-labelling-optimal-stopping-and-active-learning-0708.1242"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/cost-minimising-strategies-for-data-labelling-optimal-stopping-and-active-learning-0708.1242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-minimising-strategies-for-data-labelling-optimal-stopping-and-active-learning-0708.1242"/></url>
<url><loc>https://scifaro.com/en/abs/defensive-forecasting-for-optimal-prediction-with-expert-advice-0708.1503</loc><lastmod>2007-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defensive-forecasting-for-optimal-prediction-with-expert-advice-0708.1503"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/defensive-forecasting-for-optimal-prediction-with-expert-advice-0708.1503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defensive-forecasting-for-optimal-prediction-with-expert-advice-0708.1503"/></url>
<url><loc>https://scifaro.com/zh/abs/defensive-forecasting-for-optimal-prediction-with-expert-advice-0708.1503</loc><lastmod>2007-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defensive-forecasting-for-optimal-prediction-with-expert-advice-0708.1503"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/defensive-forecasting-for-optimal-prediction-with-expert-advice-0708.1503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defensive-forecasting-for-optimal-prediction-with-expert-advice-0708.1503"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-and-randomized-defensive-forecasting-unified-view-0708.2353</loc><lastmod>2007-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-and-randomized-defensive-forecasting-unified-view-0708.2353"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/continuous-and-randomized-defensive-forecasting-unified-view-0708.2353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-and-randomized-defensive-forecasting-unified-view-0708.2353"/></url>
<url><loc>https://scifaro.com/zh/abs/continuous-and-randomized-defensive-forecasting-unified-view-0708.2353</loc><lastmod>2007-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-and-randomized-defensive-forecasting-unified-view-0708.2353"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/continuous-and-randomized-defensive-forecasting-unified-view-0708.2353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-and-randomized-defensive-forecasting-unified-view-0708.2353"/></url>
<url><loc>https://scifaro.com/en/abs/a-dichotomy-theorem-for-general-minimum-cost-homomorphism-problem-0708.3226</loc><lastmod>2010-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dichotomy-theorem-for-general-minimum-cost-homomorphism-problem-0708.3226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dichotomy-theorem-for-general-minimum-cost-homomorphism-problem-0708.3226"/></url>
<url><loc>https://scifaro.com/en/abs/filtering-additive-measurement-noise-with-maximum-entropy-in-the-mean-0709.0509</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/filtering-additive-measurement-noise-with-maximum-entropy-in-the-mean-0709.0509"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/filtering-additive-measurement-noise-with-maximum-entropy-in-the-mean-0709.0509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/filtering-additive-measurement-noise-with-maximum-entropy-in-the-mean-0709.0509"/></url>
<url><loc>https://scifaro.com/zh/abs/filtering-additive-measurement-noise-with-maximum-entropy-in-the-mean-0709.0509</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/filtering-additive-measurement-noise-with-maximum-entropy-in-the-mean-0709.0509"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/filtering-additive-measurement-noise-with-maximum-entropy-in-the-mean-0709.0509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/filtering-additive-measurement-noise-with-maximum-entropy-in-the-mean-0709.0509"/></url>
<url><loc>https://scifaro.com/en/abs/learning-for-dynamic-bidding-in-cognitive-radio-resources-0709.2446</loc><lastmod>2007-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-for-dynamic-bidding-in-cognitive-radio-resources-0709.2446"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/learning-for-dynamic-bidding-in-cognitive-radio-resources-0709.2446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-for-dynamic-bidding-in-cognitive-radio-resources-0709.2446"/></url>
<url><loc>https://scifaro.com/zh/abs/learning-for-dynamic-bidding-in-cognitive-radio-resources-0709.2446</loc><lastmod>2007-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-for-dynamic-bidding-in-cognitive-radio-resources-0709.2446"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/learning-for-dynamic-bidding-in-cognitive-radio-resources-0709.2446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-for-dynamic-bidding-in-cognitive-radio-resources-0709.2446"/></url>
<url><loc>https://scifaro.com/en/abs/mutual-information-for-the-selection-of-relevant-variables-in-spectrometric-nonlinear-modelling-0709.3427</loc><lastmod>2007-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mutual-information-for-the-selection-of-relevant-variables-in-spectrometric-nonlinear-modelling-0709.3427"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/mutual-information-for-the-selection-of-relevant-variables-in-spectrometric-nonlinear-modelling-0709.3427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mutual-information-for-the-selection-of-relevant-variables-in-spectrometric-nonlinear-modelling-0709.3427"/></url>
<url><loc>https://scifaro.com/zh/abs/mutual-information-for-the-selection-of-relevant-variables-in-spectrometric-nonlinear-modelling-0709.3427</loc><lastmod>2007-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mutual-information-for-the-selection-of-relevant-variables-in-spectrometric-nonlinear-modelling-0709.3427"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/mutual-information-for-the-selection-of-relevant-variables-in-spectrometric-nonlinear-modelling-0709.3427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mutual-information-for-the-selection-of-relevant-variables-in-spectrometric-nonlinear-modelling-0709.3427"/></url>
<url><loc>https://scifaro.com/en/abs/fast-selection-of-spectral-variables-with-b-spline-compression-0709.3639</loc><lastmod>2007-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-selection-of-spectral-variables-with-b-spline-compression-0709.3639"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/fast-selection-of-spectral-variables-with-b-spline-compression-0709.3639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-selection-of-spectral-variables-with-b-spline-compression-0709.3639"/></url>
<url><loc>https://scifaro.com/zh/abs/fast-selection-of-spectral-variables-with-b-spline-compression-0709.3639</loc><lastmod>2007-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-selection-of-spectral-variables-with-b-spline-compression-0709.3639"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/fast-selection-of-spectral-variables-with-b-spline-compression-0709.3639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-selection-of-spectral-variables-with-b-spline-compression-0709.3639"/></url>
<url><loc>https://scifaro.com/en/abs/resampling-methods-for-parameter-free-and-robust-feature-selection-with-mutual-information-0709.3640</loc><lastmod>2007-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resampling-methods-for-parameter-free-and-robust-feature-selection-with-mutual-information-0709.3640"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/resampling-methods-for-parameter-free-and-robust-feature-selection-with-mutual-information-0709.3640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resampling-methods-for-parameter-free-and-robust-feature-selection-with-mutual-information-0709.3640"/></url>
<url><loc>https://scifaro.com/zh/abs/resampling-methods-for-parameter-free-and-robust-feature-selection-with-mutual-information-0709.3640</loc><lastmod>2007-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resampling-methods-for-parameter-free-and-robust-feature-selection-with-mutual-information-0709.3640"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/resampling-methods-for-parameter-free-and-robust-feature-selection-with-mutual-information-0709.3640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resampling-methods-for-parameter-free-and-robust-feature-selection-with-mutual-information-0709.3640"/></url>
<url><loc>https://scifaro.com/en/abs/evolving-classifiers-methods-for-incremental-learning-0709.3965</loc><lastmod>2007-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolving-classifiers-methods-for-incremental-learning-0709.3965"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/evolving-classifiers-methods-for-incremental-learning-0709.3965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolving-classifiers-methods-for-incremental-learning-0709.3965"/></url>
<url><loc>https://scifaro.com/zh/abs/evolving-classifiers-methods-for-incremental-learning-0709.3965</loc><lastmod>2007-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolving-classifiers-methods-for-incremental-learning-0709.3965"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/evolving-classifiers-methods-for-incremental-learning-0709.3965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolving-classifiers-methods-for-incremental-learning-0709.3965"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-images-using-support-vector-machines-0709.3967</loc><lastmod>2007-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-images-using-support-vector-machines-0709.3967"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/classification-of-images-using-support-vector-machines-0709.3967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-images-using-support-vector-machines-0709.3967"/></url>
<url><loc>https://scifaro.com/zh/abs/classification-of-images-using-support-vector-machines-0709.3967</loc><lastmod>2007-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-images-using-support-vector-machines-0709.3967"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/classification-of-images-using-support-vector-machines-0709.3967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-images-using-support-vector-machines-0709.3967"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-with-expert-advice-for-the-brier-game-0710.0485</loc><lastmod>2009-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-with-expert-advice-for-the-brier-game-0710.0485"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/prediction-with-expert-advice-for-the-brier-game-0710.0485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-with-expert-advice-for-the-brier-game-0710.0485"/></url>
<url><loc>https://scifaro.com/zh/abs/prediction-with-expert-advice-for-the-brier-game-0710.0485</loc><lastmod>2009-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-with-expert-advice-for-the-brier-game-0710.0485"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/prediction-with-expert-advice-for-the-brier-game-0710.0485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-with-expert-advice-for-the-brier-game-0710.0485"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-of-trace-norm-minimization-0710.2848</loc><lastmod>2007-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-of-trace-norm-minimization-0710.2848"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/consistency-of-trace-norm-minimization-0710.2848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-of-trace-norm-minimization-0710.2848"/></url>
<url><loc>https://scifaro.com/zh/abs/consistency-of-trace-norm-minimization-0710.2848</loc><lastmod>2007-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-of-trace-norm-minimization-0710.2848"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/consistency-of-trace-norm-minimization-0710.2848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-of-trace-norm-minimization-0710.2848"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-reduction-of-ranking-to-classification-0710.2889</loc><lastmod>2007-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-reduction-of-ranking-to-classification-0710.2889"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/an-efficient-reduction-of-ranking-to-classification-0710.2889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-reduction-of-ranking-to-classification-0710.2889"/></url>
<url><loc>https://scifaro.com/zh/abs/an-efficient-reduction-of-ranking-to-classification-0710.2889</loc><lastmod>2007-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-reduction-of-ranking-to-classification-0710.2889"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/an-efficient-reduction-of-ranking-to-classification-0710.2889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-reduction-of-ranking-to-classification-0710.2889"/></url>
<url><loc>https://scifaro.com/en/abs/combining-haplotypers-0710.5116</loc><lastmod>2007-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-haplotypers-0710.5116"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/combining-haplotypers-0710.5116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-haplotypers-0710.5116"/></url>
<url><loc>https://scifaro.com/zh/abs/combining-haplotypers-0710.5116</loc><lastmod>2007-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-haplotypers-0710.5116"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/combining-haplotypers-0710.5116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-haplotypers-0710.5116"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-evaluation-of-four-tensor-decomposition-algorithms-0711.2023</loc><lastmod>2007-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-evaluation-of-four-tensor-decomposition-algorithms-0711.2023"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/empirical-evaluation-of-four-tensor-decomposition-algorithms-0711.2023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-evaluation-of-four-tensor-decomposition-algorithms-0711.2023"/></url>
<url><loc>https://scifaro.com/zh/abs/empirical-evaluation-of-four-tensor-decomposition-algorithms-0711.2023</loc><lastmod>2007-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-evaluation-of-four-tensor-decomposition-algorithms-0711.2023"/><xhtml:link rel="alternate" hreflang="zh" href="https://scifaro.com/zh/abs/empirical-evaluation-of-four-tensor-decomposition-algorithms-0711.2023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-evaluation-of-four-tensor-decomposition-algorithms-0711.2023"/></url>
<url><loc>https://scifaro.com/en/abs/image-classification-using-svms-one-against-one-vs-one-against-all-0711.2914</loc><lastmod>2007-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/image-classification-using-svms-one-against-one-vs-one-against-all-0711.2914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/image-classification-using-svms-one-against-one-vs-one-against-all-0711.2914"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-with-transitive-distance-and-k-means-duality-0711.3594</loc><lastmod>2007-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-with-transitive-distance-and-k-means-duality-0711.3594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-with-transitive-distance-and-k-means-duality-0711.3594"/></url>
<url><loc>https://scifaro.com/en/abs/derivations-of-normalized-mutual-information-in-binary-classifications-0711.3675</loc><lastmod>2007-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/derivations-of-normalized-mutual-information-in-binary-classifications-0711.3675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/derivations-of-normalized-mutual-information-in-binary-classifications-0711.3675"/></url>
<url><loc>https://scifaro.com/en/abs/covariance-and-pca-for-categorical-variables-0711.4452</loc><lastmod>2007-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariance-and-pca-for-categorical-variables-0711.4452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariance-and-pca-for-categorical-variables-0711.4452"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-relationship-between-the-posterior-and-optimal-similarity-0712.0130</loc><lastmod>2007-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-relationship-between-the-posterior-and-optimal-similarity-0712.0130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-relationship-between-the-posterior-and-optimal-similarity-0712.0130"/></url>
<url><loc>https://scifaro.com/en/abs/equations-of-states-in-singular-statistical-estimation-0712.0653</loc><lastmod>2009-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equations-of-states-in-singular-statistical-estimation-0712.0653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equations-of-states-in-singular-statistical-estimation-0712.0653"/></url>
<url><loc>https://scifaro.com/en/abs/a-universal-kernel-for-learning-regular-languages-0712.0840</loc><lastmod>2007-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-universal-kernel-for-learning-regular-languages-0712.0840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-universal-kernel-for-learning-regular-languages-0712.0840"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-pattern-classification-by-unsupervised-learning-using-dimensionality-reduction-of-data-with-mirroring-neural-networks-0712.0938</loc><lastmod>2008-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-pattern-classification-by-unsupervised-learning-using-dimensionality-reduction-of-data-with-mirroring-neural-networks-0712.0938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-pattern-classification-by-unsupervised-learning-using-dimensionality-reduction-of-data-with-mirroring-neural-networks-0712.0938"/></url>
<url><loc>https://scifaro.com/en/abs/density-estimation-in-linear-time-0712.2869</loc><lastmod>2007-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-estimation-in-linear-time-0712.2869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-estimation-in-linear-time-0712.2869"/></url>
<url><loc>https://scifaro.com/en/abs/graph-kernels-between-point-clouds-0712.3402</loc><lastmod>2007-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-kernels-between-point-clouds-0712.3402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-kernels-between-point-clouds-0712.3402"/></url>
<url><loc>https://scifaro.com/en/abs/improved-collaborative-filtering-algorithm-via-information-transformation-0712.3807</loc><lastmod>2015-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-collaborative-filtering-algorithm-via-information-transformation-0712.3807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-collaborative-filtering-algorithm-via-information-transformation-0712.3807"/></url>
<url><loc>https://scifaro.com/en/abs/online-variants-of-the-cross-entropy-method-0801.1988</loc><lastmod>2008-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-variants-of-the-cross-entropy-method-0801.1988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-variants-of-the-cross-entropy-method-0801.1988"/></url>
<url><loc>https://scifaro.com/en/abs/the-optimal-assignment-kernel-is-not-positive-definite-0801.4061</loc><lastmod>2008-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-optimal-assignment-kernel-is-not-positive-definite-0801.4061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-optimal-assignment-kernel-is-not-positive-definite-0801.4061"/></url>
<url><loc>https://scifaro.com/en/abs/new-estimation-procedures-for-pls-path-modelling-0802.1002</loc><lastmod>2008-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-estimation-procedures-for-pls-path-modelling-0802.1002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-estimation-procedures-for-pls-path-modelling-0802.1002"/></url>
<url><loc>https://scifaro.com/en/abs/learning-balanced-mixtures-of-discrete-distributions-with-small-sample-0802.1244</loc><lastmod>2008-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-balanced-mixtures-of-discrete-distributions-with-small-sample-0802.1244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-balanced-mixtures-of-discrete-distributions-with-small-sample-0802.1244"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-approach-to-collaborative-filtering-operator-estimation-with-spectral-regularization-0802.1430</loc><lastmod>2008-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-approach-to-collaborative-filtering-operator-estimation-with-spectral-regularization-0802.1430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-approach-to-collaborative-filtering-operator-estimation-with-spectral-regularization-0802.1430"/></url>
<url><loc>https://scifaro.com/en/abs/combining-expert-advice-efficiently-0802.2015</loc><lastmod>2008-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-expert-advice-efficiently-0802.2015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-expert-advice-efficiently-0802.2015"/></url>
<url><loc>https://scifaro.com/en/abs/a-radar-shaped-statistic-for-testing-and-visualizing-uniformity-properties-in-computer-experiments-0802.2158</loc><lastmod>2008-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-radar-shaped-statistic-for-testing-and-visualizing-uniformity-properties-in-computer-experiments-0802.2158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-radar-shaped-statistic-for-testing-and-visualizing-uniformity-properties-in-computer-experiments-0802.2158"/></url>
<url><loc>https://scifaro.com/en/abs/sign-language-tutoring-tool-0802.2428</loc><lastmod>2008-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sign-language-tutoring-tool-0802.2428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sign-language-tutoring-tool-0802.2428"/></url>
<url><loc>https://scifaro.com/en/abs/what-can-we-learn-privately-0803.0924</loc><lastmod>2012-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-can-we-learn-privately-0803.0924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-can-we-learn-privately-0803.0924"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-and-regularization-of-support-vector-machines-0803.3490</loc><lastmod>2010-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-and-regularization-of-support-vector-machines-0803.3490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-and-regularization-of-support-vector-machines-0803.3490"/></url>
<url><loc>https://scifaro.com/en/abs/support-vector-machine-classification-with-indefinite-kernels-0804.0188</loc><lastmod>2009-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-vector-machine-classification-with-indefinite-kernels-0804.0188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-vector-machine-classification-with-indefinite-kernels-0804.0188"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-semi-supervised-dimensionality-reduction-framework-for-manifold-learning-0804.0924</loc><lastmod>2009-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-semi-supervised-dimensionality-reduction-framework-for-manifold-learning-0804.0924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-semi-supervised-dimensionality-reduction-framework-for-manifold-learning-0804.0924"/></url>
<url><loc>https://scifaro.com/en/abs/bolasso-model-consistent-lasso-estimation-through-the-bootstrap-0804.1302</loc><lastmod>2008-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bolasso-model-consistent-lasso-estimation-through-the-bootstrap-0804.1302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bolasso-model-consistent-lasso-estimation-through-the-bootstrap-0804.1302"/></url>
<url><loc>https://scifaro.com/en/abs/on-kernelization-of-supervised-mahalanobis-distance-learners-0804.1441</loc><lastmod>2009-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-kernelization-of-supervised-mahalanobis-distance-learners-0804.1441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-kernelization-of-supervised-mahalanobis-distance-learners-0804.1441"/></url>
<url><loc>https://scifaro.com/en/abs/isotropic-pca-and-affine-invariant-clustering-0804.3575</loc><lastmod>2008-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/isotropic-pca-and-affine-invariant-clustering-0804.3575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/isotropic-pca-and-affine-invariant-clustering-0804.3575"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-random-oracles-are-better-than-one-0804.3817</loc><lastmod>2008-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-random-oracles-are-better-than-one-0804.3817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-random-oracles-are-better-than-one-0804.3817"/></url>
<url><loc>https://scifaro.com/en/abs/dependence-structure-estimation-via-copula-0804.4451</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dependence-structure-estimation-via-copula-0804.4451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dependence-structure-estimation-via-copula-0804.4451"/></url>
<url><loc>https://scifaro.com/en/abs/introduction-to-relational-networks-for-classification-0804.4682</loc><lastmod>2008-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introduction-to-relational-networks-for-classification-0804.4682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introduction-to-relational-networks-for-classification-0804.4682"/></url>
<url><loc>https://scifaro.com/en/abs/the-effect-of-structural-diversity-of-an-ensemble-of-classifiers-on-classification-accuracy-0804.4741</loc><lastmod>2008-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effect-of-structural-diversity-of-an-ensemble-of-classifiers-on-classification-accuracy-0804.4741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effect-of-structural-diversity-of-an-ensemble-of-classifiers-on-classification-accuracy-0804.4741"/></url>
<url><loc>https://scifaro.com/en/abs/a-quadratic-loss-multi-class-svm-0804.4898</loc><lastmod>2008-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-quadratic-loss-multi-class-svm-0804.4898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-quadratic-loss-multi-class-svm-0804.4898"/></url>
<url><loc>https://scifaro.com/en/abs/on-recovery-of-sparse-signals-via-ell-1-minimization-0805.0149</loc><lastmod>2008-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-recovery-of-sparse-signals-via-ell-1-minimization-0805.0149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-recovery-of-sparse-signals-via-ell-1-minimization-0805.0149"/></url>
<url><loc>https://scifaro.com/en/abs/rollout-sampling-approximate-policy-iteration-0805.2027</loc><lastmod>2008-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rollout-sampling-approximate-policy-iteration-0805.2027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rollout-sampling-approximate-policy-iteration-0805.2027"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimization-problem-on-the-sphere-0805.2362</loc><lastmod>2008-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimization-problem-on-the-sphere-0805.2362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimization-problem-on-the-sphere-0805.2362"/></url>
<url><loc>https://scifaro.com/en/abs/a-kernel-method-for-the-two-sample-problem-0805.2368</loc><lastmod>2008-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kernel-method-for-the-two-sample-problem-0805.2368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kernel-method-for-the-two-sample-problem-0805.2368"/></url>
<url><loc>https://scifaro.com/en/abs/the-margitron-a-generalised-perceptron-with-margin-0805.2752</loc><lastmod>2008-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-margitron-a-generalised-perceptron-with-margin-0805.2752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-margitron-a-generalised-perceptron-with-margin-0805.2752"/></url>
<url><loc>https://scifaro.com/en/abs/sample-selection-bias-correction-theory-0805.2775</loc><lastmod>2008-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-selection-bias-correction-theory-0805.2775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-selection-bias-correction-theory-0805.2775"/></url>
<url><loc>https://scifaro.com/en/abs/learning-low-density-separators-0805.2891</loc><lastmod>2009-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-low-density-separators-0805.2891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-low-density-separators-0805.2891"/></url>
<url><loc>https://scifaro.com/en/abs/from-data-topology-to-a-modular-classifier-0805.4290</loc><lastmod>2008-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-data-topology-to-a-modular-classifier-0805.4290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-data-topology-to-a-modular-classifier-0805.4290"/></url>
<url><loc>https://scifaro.com/en/abs/utilisation-des-grammaires-probabilistes-dans-les-t-aches-de-segmentation-et-d-annotation-prosodique-0806.1156</loc><lastmod>2008-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/utilisation-des-grammaires-probabilistes-dans-les-t-aches-de-segmentation-et-d-annotation-prosodique-0806.1156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/utilisation-des-grammaires-probabilistes-dans-les-t-aches-de-segmentation-et-d-annotation-prosodique-0806.1156"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-learning-of-arbitrary-computable-classifiers-0806.3537</loc><lastmod>2008-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-learning-of-arbitrary-computable-classifiers-0806.3537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-learning-of-arbitrary-computable-classifiers-0806.3537"/></url>
<url><loc>https://scifaro.com/en/abs/agnostically-learning-juntas-from-random-walks-0806.4210</loc><lastmod>2008-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agnostically-learning-juntas-from-random-walks-0806.4210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agnostically-learning-juntas-from-random-walks-0806.4210"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-with-expert-advice-in-games-with-unbounded-one-step-gains-0806.4391</loc><lastmod>2008-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-with-expert-advice-in-games-with-unbounded-one-step-gains-0806.4391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-with-expert-advice-in-games-with-unbounded-one-step-gains-0806.4391"/></url>
<url><loc>https://scifaro.com/en/abs/computationally-efficient-estimators-for-dimension-reductions-using-stable-random-projections-0806.4422</loc><lastmod>2008-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computationally-efficient-estimators-for-dimension-reductions-using-stable-random-projections-0806.4422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computationally-efficient-estimators-for-dimension-reductions-using-stable-random-projections-0806.4422"/></url>
<url><loc>https://scifaro.com/en/abs/on-approximating-the-lp-distances-for-p-2-0806.4423</loc><lastmod>2008-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-approximating-the-lp-distances-for-p-2-0806.4423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-approximating-the-lp-distances-for-p-2-0806.4423"/></url>
<url><loc>https://scifaro.com/en/abs/on-empirical-meaning-of-randomness-with-respect-to-a-real-parameter-0806.4484</loc><lastmod>2009-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-empirical-meaning-of-randomness-with-respect-to-a-real-parameter-0806.4484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-empirical-meaning-of-randomness-with-respect-to-a-real-parameter-0806.4484"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-online-learning-via-truncated-gradient-0806.4686</loc><lastmod>2008-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-online-learning-via-truncated-gradient-0806.4686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-online-learning-via-truncated-gradient-0806.4686"/></url>
<url><loc>https://scifaro.com/en/abs/graph-kernels-0807.0093</loc><lastmod>2010-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-kernels-0807.0093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-kernels-0807.0093"/></url>
<url><loc>https://scifaro.com/en/abs/multi-instance-learning-by-treating-instances-as-non-i-i-d-samples-0807.1997</loc><lastmod>2009-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-instance-learning-by-treating-instances-as-non-i-i-d-samples-0807.1997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-instance-learning-by-treating-instances-as-non-i-i-d-samples-0807.1997"/></url>
<url><loc>https://scifaro.com/en/abs/on-probability-distributions-for-trees-representations-inference-and-learning-0807.2983</loc><lastmod>2008-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-probability-distributions-for-trees-representations-inference-and-learning-0807.2983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-probability-distributions-for-trees-representations-inference-and-learning-0807.2983"/></url>
<url><loc>https://scifaro.com/en/abs/positive-factor-networks-a-graphical-framework-for-modeling-non-negative-sequential-data-0807.4198</loc><lastmod>2009-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/positive-factor-networks-a-graphical-framework-for-modeling-non-negative-sequential-data-0807.4198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/positive-factor-networks-a-graphical-framework-for-modeling-non-negative-sequential-data-0807.4198"/></url>
<url><loc>https://scifaro.com/en/abs/building-an-interpretable-fuzzy-rule-base-from-data-using-orthogonal-least-squares-application-to-a-depollution-problem-0808.2984</loc><lastmod>2008-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-an-interpretable-fuzzy-rule-base-from-data-using-orthogonal-least-squares-application-to-a-depollution-problem-0808.2984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-an-interpretable-fuzzy-rule-base-from-data-using-orthogonal-least-squares-application-to-a-depollution-problem-0808.2984"/></url>
<url><loc>https://scifaro.com/en/abs/multi-instance-multi-label-learning-0808.3231</loc><lastmod>2011-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-instance-multi-label-learning-0808.3231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-instance-multi-label-learning-0808.3231"/></url>
<url><loc>https://scifaro.com/en/abs/a-game-theoretic-version-of-oakes-example-for-randomized-forecasting-0808.3746</loc><lastmod>2008-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-game-theoretic-version-of-oakes-example-for-randomized-forecasting-0808.3746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-game-theoretic-version-of-oakes-example-for-randomized-forecasting-0808.3746"/></url>
<url><loc>https://scifaro.com/en/abs/principal-graphs-and-manifolds-0809.0490</loc><lastmod>2011-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principal-graphs-and-manifolds-0809.0490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principal-graphs-and-manifolds-0809.0490"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-hypothesis-identification-0809.1270</loc><lastmod>2009-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-hypothesis-identification-0809.1270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-hypothesis-identification-0809.1270"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-large-feature-spaces-with-hierarchical-multiple-kernel-learning-0809.1493</loc><lastmod>2008-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-large-feature-spaces-with-hierarchical-multiple-kernel-learning-0809.1493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-large-feature-spaces-with-hierarchical-multiple-kernel-learning-0809.1493"/></url>
<url><loc>https://scifaro.com/en/abs/when-is-there-a-representer-theorem-vector-versus-matrix-regularizers-0809.1590</loc><lastmod>2012-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-is-there-a-representer-theorem-vector-versus-matrix-regularizers-0809.1590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-is-there-a-representer-theorem-vector-versus-matrix-regularizers-0809.1590"/></url>
<url><loc>https://scifaro.com/en/abs/clustered-multi-task-learning-a-convex-formulation-0809.2085</loc><lastmod>2008-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustered-multi-task-learning-a-convex-formulation-0809.2085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustered-multi-task-learning-a-convex-formulation-0809.2085"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-abnormal-returns-from-news-using-text-classification-0809.2792</loc><lastmod>2009-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-abnormal-returns-from-news-using-text-classification-0809.2792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-abnormal-returns-from-news-using-text-classification-0809.2792"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hidden-markov-models-using-non-negative-matrix-factorization-0809.4086</loc><lastmod>2011-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hidden-markov-models-using-non-negative-matrix-factorization-0809.4086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hidden-markov-models-using-non-negative-matrix-factorization-0809.4086"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-learning-an-approach-for-semi-supervised-classification-0809.4632</loc><lastmod>2008-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-learning-an-approach-for-semi-supervised-classification-0809.4632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-learning-an-approach-for-semi-supervised-classification-0809.4632"/></url>
<url><loc>https://scifaro.com/en/abs/a-gaussian-belief-propagation-solver-for-large-scale-support-vector-machines-0810.1648</loc><lastmod>2008-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gaussian-belief-propagation-solver-for-large-scale-support-vector-machines-0810.1648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gaussian-belief-propagation-solver-for-large-scale-support-vector-machines-0810.1648"/></url>
<url><loc>https://scifaro.com/en/abs/the-use-of-entropy-to-measure-structural-diversity-0810.3525</loc><lastmod>2008-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-use-of-entropy-to-measure-structural-diversity-0810.3525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-use-of-entropy-to-measure-structural-diversity-0810.3525"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-exact-inference-in-planar-ising-models-0810.4401</loc><lastmod>2009-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-exact-inference-in-planar-ising-models-0810.4401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-exact-inference-in-planar-ising-models-0810.4401"/></url>
<url><loc>https://scifaro.com/en/abs/learning-isometric-separation-maps-0810.4611</loc><lastmod>2009-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-isometric-separation-maps-0810.4611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-isometric-separation-maps-0810.4611"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-clustering-algorithm-based-on-a-modified-model-of-random-walk-0810.5484</loc><lastmod>2008-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-clustering-algorithm-based-on-a-modified-model-of-random-walk-0810.5484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-clustering-algorithm-based-on-a-modified-model-of-random-walk-0810.5484"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-difference-updating-without-a-learning-rate-0810.5631</loc><lastmod>2008-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-difference-updating-without-a-learning-rate-0810.5631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-difference-updating-without-a-learning-rate-0810.5631"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-possibility-of-learning-in-reactive-environments-with-arbitrary-dependence-0810.5636</loc><lastmod>2009-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-possibility-of-learning-in-reactive-environments-with-arbitrary-dependence-0810.5636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-possibility-of-learning-in-reactive-environments-with-arbitrary-dependence-0810.5636"/></url>
<url><loc>https://scifaro.com/en/abs/entropy-perception-and-relativity-0811.0139</loc><lastmod>2008-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropy-perception-and-relativity-0811.0139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropy-perception-and-relativity-0811.0139"/></url>
<url><loc>https://scifaro.com/en/abs/effect-of-tuned-parameters-on-a-lsa-mcq-answering-model-0811.0146</loc><lastmod>2009-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effect-of-tuned-parameters-on-a-lsa-mcq-answering-model-0811.0146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effect-of-tuned-parameters-on-a-lsa-mcq-answering-model-0811.0146"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-base-class-boost-for-multi-class-classification-0811.1250</loc><lastmod>2008-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-base-class-boost-for-multi-class-classification-0811.1250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-base-class-boost-for-multi-class-classification-0811.1250"/></url>
<url><loc>https://scifaro.com/en/abs/stability-bound-for-stationary-phi-mixing-and-beta-mixing-processes-0811.1629</loc><lastmod>2008-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-bound-for-stationary-phi-mixing-and-beta-mixing-processes-0811.1629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-bound-for-stationary-phi-mixing-and-beta-mixing-processes-0811.1629"/></url>
<url><loc>https://scifaro.com/en/abs/land-cover-mapping-using-ensemble-feature-selection-methods-0811.2016</loc><lastmod>2008-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/land-cover-mapping-using-ensemble-feature-selection-methods-0811.2016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/land-cover-mapping-using-ensemble-feature-selection-methods-0811.2016"/></url>
<url><loc>https://scifaro.com/en/abs/a-spectral-algorithm-for-learning-hidden-markov-models-0811.4413</loc><lastmod>2012-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spectral-algorithm-for-learning-hidden-markov-models-0811.4413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spectral-algorithm-for-learning-hidden-markov-models-0811.4413"/></url>
<url><loc>https://scifaro.com/en/abs/learning-class-level-bayes-nets-for-relational-data-0811.4458</loc><lastmod>2009-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-class-level-bayes-nets-for-relational-data-0811.4458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-class-level-bayes-nets-for-relational-data-0811.4458"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-clustering-algorithm-based-on-quantum-games-0812.0743</loc><lastmod>2015-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-clustering-algorithm-based-on-quantum-games-0812.0743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-clustering-algorithm-based-on-quantum-games-0812.0743"/></url>
<url><loc>https://scifaro.com/en/abs/decision-trees-are-pac-learnable-from-most-product-distributions-a-smoothed-analysis-0812.0933</loc><lastmod>2008-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-trees-are-pac-learnable-from-most-product-distributions-a-smoothed-analysis-0812.0933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-trees-are-pac-learnable-from-most-product-distributions-a-smoothed-analysis-0812.0933"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-clustering-algorithm-based-on-quantum-random-walk-0812.1357</loc><lastmod>2008-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-clustering-algorithm-based-on-quantum-random-walk-0812.1357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-clustering-algorithm-based-on-quantum-random-walk-0812.1357"/></url>
<url><loc>https://scifaro.com/en/abs/convex-sparse-matrix-factorizations-0812.1869</loc><lastmod>2008-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-sparse-matrix-factorizations-0812.1869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-sparse-matrix-factorizations-0812.1869"/></url>
<url><loc>https://scifaro.com/en/abs/binary-classification-based-on-potentials-0812.3145</loc><lastmod>2008-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-classification-based-on-potentials-0812.3145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-classification-based-on-potentials-0812.3145"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-binary-classification-based-on-signed-distance-functions-with-support-vector-machines-0812.3147</loc><lastmod>2008-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-binary-classification-based-on-signed-distance-functions-with-support-vector-machines-0812.3147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-binary-classification-based-on-signed-distance-functions-with-support-vector-machines-0812.3147"/></url>
<url><loc>https://scifaro.com/en/abs/linearly-parameterized-bandits-0812.3465</loc><lastmod>2010-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linearly-parameterized-bandits-0812.3465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linearly-parameterized-bandits-0812.3465"/></url>
<url><loc>https://scifaro.com/en/abs/the-offset-tree-for-learning-with-partial-labels-0812.4044</loc><lastmod>2016-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-offset-tree-for-learning-with-partial-labels-0812.4044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-offset-tree-for-learning-with-partial-labels-0812.4044"/></url>
<url><loc>https://scifaro.com/en/abs/client-server-multi-task-learning-from-distributed-datasets-0812.4235</loc><lastmod>2013-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/client-server-multi-task-learning-from-distributed-datasets-0812.4235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/client-server-multi-task-learning-from-distributed-datasets-0812.4235"/></url>
<url><loc>https://scifaro.com/en/abs/importance-weighted-active-learning-0812.4952</loc><lastmod>2009-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-weighted-active-learning-0812.4952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-weighted-active-learning-0812.4952"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-clustering-algorithm-based-upon-flocking-on-complex-network-0812.5032</loc><lastmod>2008-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-clustering-algorithm-based-upon-flocking-on-complex-network-0812.5032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-clustering-algorithm-based-upon-flocking-on-complex-network-0812.5032"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-clustering-algorithm-based-upon-games-on-evolving-network-0812.5064</loc><lastmod>2010-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-clustering-algorithm-based-upon-games-on-evolving-network-0812.5064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-clustering-algorithm-based-upon-games-on-evolving-network-0812.5064"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-preemption-decisions-probabilistic-graphical-model-algorithm-and-near-optimality-0901.0753</loc><lastmod>2009-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-preemption-decisions-probabilistic-graphical-model-algorithm-and-near-optimality-0901.0753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-preemption-decisions-probabilistic-graphical-model-algorithm-and-near-optimality-0901.0753"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretical-analysis-of-joint-manifolds-0901.0760</loc><lastmod>2009-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-analysis-of-joint-manifolds-0901.0760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-analysis-of-joint-manifolds-0901.0760"/></url>
<url><loc>https://scifaro.com/en/abs/a-limit-theorem-in-singular-regression-problem-0901.2376</loc><lastmod>2009-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-limit-theorem-in-singular-regression-problem-0901.2376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-limit-theorem-in-singular-regression-problem-0901.2376"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-from-a-few-entries-0901.3150</loc><lastmod>2009-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-from-a-few-entries-0901.3150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-from-a-few-entries-0901.3150"/></url>
<url><loc>https://scifaro.com/en/abs/model-consistent-sparse-estimation-through-the-bootstrap-0901.3202</loc><lastmod>2009-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-consistent-sparse-estimation-through-the-bootstrap-0901.3202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-consistent-sparse-estimation-through-the-bootstrap-0901.3202"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-dual-formulation-of-boosting-algorithms-0901.3590</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-dual-formulation-of-boosting-algorithms-0901.3590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-dual-formulation-of-boosting-algorithms-0901.3590"/></url>
<url><loc>https://scifaro.com/en/abs/cross-situational-and-supervised-learning-in-the-emergence-of-communication-0901.4012</loc><lastmod>2011-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-situational-and-supervised-learning-in-the-emergence-of-communication-0901.4012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-situational-and-supervised-learning-in-the-emergence-of-communication-0901.4012"/></url>
<url><loc>https://scifaro.com/en/abs/non-confluent-nlc-graph-grammar-inference-by-compressing-disjoint-subgraphs-0901.4876</loc><lastmod>2009-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-confluent-nlc-graph-grammar-inference-by-compressing-disjoint-subgraphs-0901.4876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-confluent-nlc-graph-grammar-inference-by-compressing-disjoint-subgraphs-0901.4876"/></url>
<url><loc>https://scifaro.com/en/abs/extraction-de-concepts-sous-contraintes-dans-des-donn-ees-d-expression-de-g-enes-0902.1258</loc><lastmod>2009-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extraction-de-concepts-sous-contraintes-dans-des-donn-ees-d-expression-de-g-enes-0902.1258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extraction-de-concepts-sous-contraintes-dans-des-donn-ees-d-expression-de-g-enes-0902.1258"/></url>
<url><loc>https://scifaro.com/en/abs/database-transposition-for-constrained-closed-pattern-mining-0902.1259</loc><lastmod>2009-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/database-transposition-for-constrained-closed-pattern-mining-0902.1259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/database-transposition-for-constrained-closed-pattern-mining-0902.1259"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-prediction-via-compressed-sensing-0902.1284</loc><lastmod>2009-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-prediction-via-compressed-sensing-0902.1284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-prediction-via-compressed-sensing-0902.1284"/></url>
<url><loc>https://scifaro.com/en/abs/an-exact-algorithm-for-the-stratification-problem-with-proportional-allocation-0902.3223</loc><lastmod>2009-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-exact-algorithm-for-the-stratification-problem-with-proportional-allocation-0902.3223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-exact-algorithm-for-the-stratification-problem-with-proportional-allocation-0902.3223"/></url>
<url><loc>https://scifaro.com/en/abs/learning-rules-from-multisource-data-for-cardiac-monitoring-0902.3373</loc><lastmod>2009-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-rules-from-multisource-data-for-cardiac-monitoring-0902.3373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-rules-from-multisource-data-for-cardiac-monitoring-0902.3373"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-learning-bounds-and-algorithms-0902.3430</loc><lastmod>2023-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-learning-bounds-and-algorithms-0902.3430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-learning-bounds-and-algorithms-0902.3430"/></url>
<url><loc>https://scifaro.com/en/abs/uniqueness-of-low-rank-matrix-completion-by-rigidity-theory-0902.3846</loc><lastmod>2009-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniqueness-of-low-rank-matrix-completion-by-rigidity-theory-0902.3846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniqueness-of-low-rank-matrix-completion-by-rigidity-theory-0902.3846"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-with-expert-evaluators-advice-0902.4127</loc><lastmod>2009-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-with-expert-evaluators-advice-0902.4127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-with-expert-evaluators-advice-0902.4127"/></url>
<url><loc>https://scifaro.com/en/abs/multiplicative-updates-for-non-negative-kernel-svm-0902.4228</loc><lastmod>2009-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiplicative-updates-for-non-negative-kernel-svm-0902.4228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiplicative-updates-for-non-negative-kernel-svm-0902.4228"/></url>
<url><loc>https://scifaro.com/en/abs/manipulation-robustness-of-collaborative-filtering-systems-0903.0064</loc><lastmod>2009-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manipulation-robustness-of-collaborative-filtering-systems-0903.0064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manipulation-robustness-of-collaborative-filtering-systems-0903.0064"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-human-computation-0903.1125</loc><lastmod>2009-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-human-computation-0903.1125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-human-computation-0903.1125"/></url>
<url><loc>https://scifaro.com/en/abs/differential-contrastive-divergence-0903.2299</loc><lastmod>2013-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-contrastive-divergence-0903.2299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-contrastive-divergence-0903.2299"/></url>
<url><loc>https://scifaro.com/en/abs/a-parameter-free-hedging-algorithm-0903.2851</loc><lastmod>2010-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-parameter-free-hedging-algorithm-0903.2851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-parameter-free-hedging-algorithm-0903.2851"/></url>
<url><loc>https://scifaro.com/en/abs/tracking-using-explanation-based-modeling-0903.2862</loc><lastmod>2010-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tracking-using-explanation-based-modeling-0903.2862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tracking-using-explanation-based-modeling-0903.2862"/></url>
<url><loc>https://scifaro.com/en/abs/on-p-adic-classification-0903.2870</loc><lastmod>2009-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-p-adic-classification-0903.2870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-p-adic-classification-0903.2870"/></url>
<url><loc>https://scifaro.com/en/abs/optimistic-simulated-exploration-as-an-incentive-for-real-exploration-0903.2972</loc><lastmod>2009-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimistic-simulated-exploration-as-an-incentive-for-real-exploration-0903.2972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimistic-simulated-exploration-as-an-incentive-for-real-exploration-0903.2972"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-local-distance-based-outlier-detection-approach-for-scattered-real-world-data-0903.3257</loc><lastmod>2009-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-local-distance-based-outlier-detection-approach-for-scattered-real-world-data-0903.3257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-local-distance-based-outlier-detection-approach-for-scattered-real-world-data-0903.3257"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-policies-search-for-sensor-management-0903.3329</loc><lastmod>2009-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-policies-search-for-sensor-management-0903.3329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-policies-search-for-sensor-management-0903.3329"/></url>
<url><loc>https://scifaro.com/en/abs/how-random-are-a-learner-s-mistakes-0903.3667</loc><lastmod>2011-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-random-are-a-learner-s-mistakes-0903.3667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-random-are-a-learner-s-mistakes-0903.3667"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-probability-tree-estimation-analysis-and-algorithms-0903.4217</loc><lastmod>2009-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-probability-tree-estimation-analysis-and-algorithms-0903.4217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-probability-tree-estimation-analysis-and-algorithms-0903.4217"/></url>
<url><loc>https://scifaro.com/en/abs/an-exponential-lower-bound-on-the-complexity-of-regularization-paths-0903.4817</loc><lastmod>2012-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-exponential-lower-bound-on-the-complexity-of-regularization-paths-0903.4817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-exponential-lower-bound-on-the-complexity-of-regularization-paths-0903.4817"/></url>
<url><loc>https://scifaro.com/en/abs/a-combinatorial-algorithm-to-compute-regularization-paths-0903.4856</loc><lastmod>2009-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-combinatorial-algorithm-to-compute-regularization-paths-0903.4856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-combinatorial-algorithm-to-compute-regularization-paths-0903.4856"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multiple-belief-propagation-fixed-points-for-real-time-inference-0903.4860</loc><lastmod>2015-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multiple-belief-propagation-fixed-points-for-real-time-inference-0903.4860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multiple-belief-propagation-fixed-points-for-real-time-inference-0903.4860"/></url>
<url><loc>https://scifaro.com/en/abs/a-stochastic-view-of-optimal-regret-through-minimax-duality-0903.5328</loc><lastmod>2009-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stochastic-view-of-optimal-regret-through-minimax-duality-0903.5328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stochastic-view-of-optimal-regret-through-minimax-duality-0903.5328"/></url>
<url><loc>https://scifaro.com/en/abs/evolvability-need-not-imply-learnability-0904.0648</loc><lastmod>2009-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolvability-need-not-imply-learnability-0904.0648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolvability-need-not-imply-learnability-0904.0648"/></url>
<url><loc>https://scifaro.com/en/abs/stability-analysis-and-learning-bounds-for-transductive-regression-algorithms-0904.0814</loc><lastmod>2009-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-analysis-and-learning-bounds-for-transductive-regression-algorithms-0904.0814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-analysis-and-learning-bounds-for-transductive-regression-algorithms-0904.0814"/></url>
<url><loc>https://scifaro.com/en/abs/learning-convex-bodies-is-hard-0904.1227</loc><lastmod>2009-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-convex-bodies-is-hard-0904.1227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-convex-bodies-is-hard-0904.1227"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-through-optimization-of-margin-distributions-0904.2037</loc><lastmod>2010-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-through-optimization-of-margin-distributions-0904.2037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-through-optimization-of-margin-distributions-0904.2037"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-dynamic-bayesian-networks-using-frequent-episode-mining-0904.2160</loc><lastmod>2009-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-dynamic-bayesian-networks-using-frequent-episode-mining-0904.2160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-dynamic-bayesian-networks-using-frequent-episode-mining-0904.2160"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-family-graph-matching-and-ranking-0904.2623</loc><lastmod>2009-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-family-graph-matching-and-ranking-0904.2623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-family-graph-matching-and-ranking-0904.2623"/></url>
<url><loc>https://scifaro.com/en/abs/introduction-to-machine-learning-class-notes-67577-0904.3664</loc><lastmod>2009-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introduction-to-machine-learning-class-notes-67577-0904.3664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introduction-to-machine-learning-class-notes-67577-0904.3664"/></url>
<url><loc>https://scifaro.com/en/abs/considerations-upon-the-machine-learning-technologies-0904.3667</loc><lastmod>2009-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/considerations-upon-the-machine-learning-technologies-0904.3667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/considerations-upon-the-machine-learning-technologies-0904.3667"/></url>
<url><loc>https://scifaro.com/en/abs/limits-of-learning-about-a-categorical-latent-variable-under-prior-near-ignorance-0904.4527</loc><lastmod>2014-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limits-of-learning-about-a-categorical-latent-variable-under-prior-near-ignorance-0904.4527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limits-of-learning-about-a-categorical-latent-variable-under-prior-near-ignorance-0904.4527"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-data-mining-for-root-cause-analysis-of-machine-faults-in-automotive-assembly-lines-0904.4608</loc><lastmod>2009-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-data-mining-for-root-cause-analysis-of-machine-faults-in-automotive-assembly-lines-0904.4608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-data-mining-for-root-cause-analysis-of-machine-faults-in-automotive-assembly-lines-0904.4608"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-strategy-replicator-dynamics-for-multi-agent-learning-0904.4717</loc><lastmod>2011-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-strategy-replicator-dynamics-for-multi-agent-learning-0904.4717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-strategy-replicator-dynamics-for-multi-agent-learning-0904.4717"/></url>
<url><loc>https://scifaro.com/en/abs/combining-supervised-and-unsupervised-learning-for-gis-classification-0905.2347</loc><lastmod>2009-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-supervised-and-unsupervised-learning-for-gis-classification-0905.2347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-supervised-and-unsupervised-learning-for-gis-classification-0905.2347"/></url>
<url><loc>https://scifaro.com/en/abs/average-case-active-learning-with-costs-0905.2997</loc><lastmod>2009-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/average-case-active-learning-with-costs-0905.2997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/average-case-active-learning-with-costs-0905.2997"/></url>
<url><loc>https://scifaro.com/en/abs/finding-anomalous-periodic-time-series-an-application-to-catalogs-of-periodic-variable-stars-0905.3428</loc><lastmod>2009-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-anomalous-periodic-time-series-an-application-to-catalogs-of-periodic-variable-stars-0905.3428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-anomalous-periodic-time-series-an-application-to-catalogs-of-periodic-variable-stars-0905.3428"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-using-feature-selection-0905.4022</loc><lastmod>2009-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-using-feature-selection-0905.4022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-using-feature-selection-0905.4022"/></url>
<url><loc>https://scifaro.com/en/abs/a-minimum-description-length-approach-to-multitask-feature-selection-0906.0052</loc><lastmod>2009-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-minimum-description-length-approach-to-multitask-feature-selection-0906.0052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-minimum-description-length-approach-to-multitask-feature-selection-0906.0052"/></url>
<url><loc>https://scifaro.com/en/abs/equations-of-states-in-statistical-learning-for-a-nonparametrizable-and-regular-case-0906.0211</loc><lastmod>2015-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equations-of-states-in-statistical-learning-for-a-nonparametrizable-and-regular-case-0906.0211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equations-of-states-in-statistical-learning-for-a-nonparametrizable-and-regular-case-0906.0211"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimal-linear-separator-for-the-sonar-signals-classification-task-0906.0470</loc><lastmod>2009-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimal-linear-separator-for-the-sonar-signals-classification-task-0906.0470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimal-linear-separator-for-the-sonar-signals-classification-task-0906.0470"/></url>
<url><loc>https://scifaro.com/en/abs/using-genetic-algorithms-for-texts-classification-problems-0906.0861</loc><lastmod>2009-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-genetic-algorithms-for-texts-classification-problems-0906.0861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-genetic-algorithms-for-texts-classification-problems-0906.0861"/></url>
<url><loc>https://scifaro.com/en/abs/fast-weak-learner-based-on-genetic-algorithm-0906.0872</loc><lastmod>2009-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-weak-learner-based-on-genetic-algorithm-0906.0872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-weak-learner-based-on-genetic-algorithm-0906.0872"/></url>
<url><loc>https://scifaro.com/en/abs/feature-reinforcement-learning-part-i-unstructured-mdps-0906.1713</loc><lastmod>2009-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-reinforcement-learning-part-i-unstructured-mdps-0906.1713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-reinforcement-learning-part-i-unstructured-mdps-0906.1713"/></url>
<url><loc>https://scifaro.com/en/abs/large-margin-knn-classification-using-a-deep-encoder-network-0906.1814</loc><lastmod>2009-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-margin-knn-classification-using-a-deep-encoder-network-0906.1814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-margin-knn-classification-using-a-deep-encoder-network-0906.1814"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-from-noisy-entries-0906.2027</loc><lastmod>2012-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-from-noisy-entries-0906.2027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-from-noisy-entries-0906.2027"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-history-reconstruction-of-complex-human-gene-clusters-on-a-phylogeny-0906.2635</loc><lastmod>2010-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-history-reconstruction-of-complex-human-gene-clusters-on-a-phylogeny-0906.2635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-history-reconstruction-of-complex-human-gene-clusters-on-a-phylogeny-0906.2635"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-two-sample-tests-0906.4032</loc><lastmod>2009-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-two-sample-tests-0906.4032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-two-sample-tests-0906.4032"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-spectral-kernels-and-heavy-tailed-data-0906.4539</loc><lastmod>2010-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-spectral-kernels-and-heavy-tailed-data-0906.4539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-spectral-kernels-and-heavy-tailed-data-0906.4539"/></url>
<url><loc>https://scifaro.com/en/abs/acquiring-knowledge-for-evaluation-of-teachers-performance-in-higher-education-using-a-questionnaire-0906.4663</loc><lastmod>2009-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/acquiring-knowledge-for-evaluation-of-teachers-performance-in-higher-education-using-a-questionnaire-0906.4663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/acquiring-knowledge-for-evaluation-of-teachers-performance-in-higher-education-using-a-questionnaire-0906.4663"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-probability-flow-learning-0906.4779</loc><lastmod>2015-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-probability-flow-learning-0906.4779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-probability-flow-learning-0906.4779"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-search-based-structured-prediction-0906.5151</loc><lastmod>2009-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-search-based-structured-prediction-0906.5151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-search-based-structured-prediction-0906.5151"/></url>
<url><loc>https://scifaro.com/en/abs/online-reinforcement-learning-for-dynamic-multimedia-systems-0906.5325</loc><lastmod>2013-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-reinforcement-learning-for-dynamic-multimedia-systems-0906.5325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-reinforcement-learning-for-dynamic-multimedia-systems-0906.5325"/></url>
<url><loc>https://scifaro.com/en/abs/random-dfas-are-efficiently-pac-learnable-0907.0453</loc><lastmod>2009-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-dfas-are-efficiently-pac-learnable-0907.0453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-dfas-are-efficiently-pac-learnable-0907.0453"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-multitask-learning-with-latent-hierarchies-0907.0783</loc><lastmod>2009-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-multitask-learning-with-latent-hierarchies-0907.0783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-multitask-learning-with-latent-hierarchies-0907.0783"/></url>
<url><loc>https://scifaro.com/en/abs/cross-task-knowledge-constrained-self-training-0907.0784</loc><lastmod>2009-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-task-knowledge-constrained-self-training-0907.0784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-task-knowledge-constrained-self-training-0907.0784"/></url>
<url><loc>https://scifaro.com/en/abs/search-based-structured-prediction-0907.0786</loc><lastmod>2009-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/search-based-structured-prediction-0907.0786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/search-based-structured-prediction-0907.0786"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-model-for-supervised-clustering-with-the-dirichlet-process-prior-0907.0808</loc><lastmod>2009-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-model-for-supervised-clustering-with-the-dirichlet-process-prior-0907.0808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-model-for-supervised-clustering-with-the-dirichlet-process-prior-0907.0808"/></url>
<url><loc>https://scifaro.com/en/abs/learning-as-search-optimization-approximate-large-margin-methods-for-structured-prediction-0907.0809</loc><lastmod>2009-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-as-search-optimization-approximate-large-margin-methods-for-structured-prediction-0907.0809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-as-search-optimization-approximate-large-margin-methods-for-structured-prediction-0907.0809"/></url>
<url><loc>https://scifaro.com/en/abs/learning-gaussian-mixtures-with-arbitrary-separation-0907.1054</loc><lastmod>2010-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-gaussian-mixtures-with-arbitrary-separation-0907.1054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-gaussian-mixtures-with-arbitrary-separation-0907.1054"/></url>
<url><loc>https://scifaro.com/en/abs/fast-search-for-dirichlet-process-mixture-models-0907.1812</loc><lastmod>2009-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-search-for-dirichlet-process-mixture-models-0907.1812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-search-for-dirichlet-process-mixture-models-0907.1812"/></url>
<url><loc>https://scifaro.com/en/abs/frustratingly-easy-domain-adaptation-0907.1815</loc><lastmod>2009-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frustratingly-easy-domain-adaptation-0907.1815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frustratingly-easy-domain-adaptation-0907.1815"/></url>
<url><loc>https://scifaro.com/en/abs/neural-modeling-and-control-of-diesel-engine-with-pollution-constraints-0907.3342</loc><lastmod>2019-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-modeling-and-control-of-diesel-engine-with-pollution-constraints-0907.3342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-modeling-and-control-of-diesel-engine-with-pollution-constraints-0907.3342"/></url>
<url><loc>https://scifaro.com/en/abs/the-infinite-hierarchical-factor-regression-model-0908.0570</loc><lastmod>2009-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-infinite-hierarchical-factor-regression-model-0908.0570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-infinite-hierarchical-factor-regression-model-0908.0570"/></url>
<url><loc>https://scifaro.com/en/abs/streamed-learning-one-pass-svms-0908.0572</loc><lastmod>2009-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streamed-learning-one-pass-svms-0908.0572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streamed-learning-one-pass-svms-0908.0572"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-of-assignments-that-maximize-submodular-functions-0908.0772</loc><lastmod>2009-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-of-assignments-that-maximize-submodular-functions-0908.0772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-of-assignments-that-maximize-submodular-functions-0908.0772"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-for-improved-learning-in-maze-traversal-problem-0908.0939</loc><lastmod>2009-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-for-improved-learning-in-maze-traversal-problem-0908.0939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-for-improved-learning-in-maze-traversal-problem-0908.0939"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-the-permanent-with-belief-propagation-0908.1769</loc><lastmod>2009-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-the-permanent-with-belief-propagation-0908.1769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-the-permanent-with-belief-propagation-0908.1769"/></url>
<url><loc>https://scifaro.com/en/abs/abc-logitboost-for-multi-class-classification-0908.4144</loc><lastmod>2009-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abc-logitboost-for-multi-class-classification-0908.4144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abc-logitboost-for-multi-class-classification-0908.4144"/></url>
<url><loc>https://scifaro.com/en/abs/advances-in-feature-selection-with-mutual-information-0909.0635</loc><lastmod>2009-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advances-in-feature-selection-with-mutual-information-0909.0635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advances-in-feature-selection-with-mutual-information-0909.0635"/></url>
<url><loc>https://scifaro.com/en/abs/median-topographic-maps-for-biomedical-data-sets-0909.0638</loc><lastmod>2009-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/median-topographic-maps-for-biomedical-data-sets-0909.0638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/median-topographic-maps-for-biomedical-data-sets-0909.0638"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-non-linear-variable-selection-through-hierarchical-kernel-learning-0909.0844</loc><lastmod>2009-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-non-linear-variable-selection-through-hierarchical-kernel-learning-0909.0844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-non-linear-variable-selection-through-hierarchical-kernel-learning-0909.0844"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-of-sparse-conditional-random-fields-for-supervised-sequence-labelling-0909.1308</loc><lastmod>2015-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-of-sparse-conditional-random-fields-for-supervised-sequence-labelling-0909.1308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-of-sparse-conditional-random-fields-for-supervised-sequence-labelling-0909.1308"/></url>
<url><loc>https://scifaro.com/en/abs/lower-bounds-for-bmrm-and-faster-rates-for-training-svms-0909.1334</loc><lastmod>2009-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lower-bounds-for-bmrm-and-faster-rates-for-training-svms-0909.1334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lower-bounds-for-bmrm-and-faster-rates-for-training-svms-0909.1334"/></url>
<url><loc>https://scifaro.com/en/abs/chromatic-pac-bayes-bounds-for-non-iid-data-applications-to-ranking-and-stationary-beta-mixing-processes-0909.1933</loc><lastmod>2010-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chromatic-pac-bayes-bounds-for-non-iid-data-applications-to-ranking-and-stationary-beta-mixing-processes-0909.1933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chromatic-pac-bayes-bounds-for-non-iid-data-applications-to-ranking-and-stationary-beta-mixing-processes-0909.1933"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-specific-agnostic-boosting-0909.2927</loc><lastmod>2012-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-specific-agnostic-boosting-0909.2927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-specific-agnostic-boosting-0909.2927"/></url>
<url><loc>https://scifaro.com/en/abs/a-convergent-online-single-time-scale-actor-critic-algorithm-0909.2934</loc><lastmod>2009-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convergent-online-single-time-scale-actor-critic-algorithm-0909.2934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convergent-online-single-time-scale-actor-critic-algorithm-0909.2934"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-unlabeled-data-to-enhance-ensemble-diversity-0909.3593</loc><lastmod>2010-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-unlabeled-data-to-enhance-ensemble-diversity-0909.3593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-unlabeled-data-to-enhance-ensemble-diversity-0909.3593"/></url>
<url><loc>https://scifaro.com/en/abs/extension-of-path-probability-method-to-approximate-inference-over-time-0909.3606</loc><lastmod>2009-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extension-of-path-probability-method-to-approximate-inference-over-time-0909.3606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extension-of-path-probability-method-to-approximate-inference-over-time-0909.3606"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-algorithms-for-large-scale-svms-0909.3609</loc><lastmod>2009-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-algorithms-for-large-scale-svms-0909.3609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-algorithms-for-large-scale-svms-0909.3609"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-inference-for-latent-dirichlet-allocation-0909.4603</loc><lastmod>2009-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-inference-for-latent-dirichlet-allocation-0909.4603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-inference-for-latent-dirichlet-allocation-0909.4603"/></url>
<url><loc>https://scifaro.com/en/abs/eignets-for-function-approximation-on-manifolds-0909.5000</loc><lastmod>2009-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eignets-for-function-approximation-on-manifolds-0909.5000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eignets-for-function-approximation-on-manifolds-0909.5000"/></url>
<url><loc>https://scifaro.com/en/abs/guaranteed-rank-minimization-via-singular-value-projection-0909.5457</loc><lastmod>2009-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guaranteed-rank-minimization-via-singular-value-projection-0909.5457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guaranteed-rank-minimization-via-singular-value-projection-0909.5457"/></url>
<url><loc>https://scifaro.com/en/abs/post-processing-of-discovered-association-rules-using-ontologies-0910.0349</loc><lastmod>2009-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-processing-of-discovered-association-rules-using-ontologies-0910.0349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-processing-of-discovered-association-rules-using-ontologies-0910.0349"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-techniques-for-learning-with-matrices-0910.0610</loc><lastmod>2010-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-techniques-for-learning-with-matrices-0910.0610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-techniques-for-learning-with-matrices-0910.0610"/></url>
<url><loc>https://scifaro.com/en/abs/variable-sigma-gaussian-processes-an-expectation-propagation-perspective-0910.0668</loc><lastmod>2010-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-sigma-gaussian-processes-an-expectation-propagation-perspective-0910.0668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-sigma-gaussian-processes-an-expectation-propagation-perspective-0910.0668"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-zoonosis-incidence-in-human-using-seasonal-auto-regressive-integrated-moving-average-sarima-0910.0820</loc><lastmod>2009-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-zoonosis-incidence-in-human-using-seasonal-auto-regressive-integrated-moving-average-sarima-0910.0820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-zoonosis-incidence-in-human-using-seasonal-auto-regressive-integrated-moving-average-sarima-0910.0820"/></url>
<url><loc>https://scifaro.com/en/abs/reduced-rank-hidden-markov-models-0910.0902</loc><lastmod>2009-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reduced-rank-hidden-markov-models-0910.0902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reduced-rank-hidden-markov-models-0910.0902"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-matrix-completion-with-noisy-observations-a-quantitative-comparison-0910.0921</loc><lastmod>2009-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-matrix-completion-with-noisy-observations-a-quantitative-comparison-0910.0921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-matrix-completion-with-noisy-observations-a-quantitative-comparison-0910.0921"/></url>
<url><loc>https://scifaro.com/en/abs/local-and-global-approaches-of-affinity-propagation-clustering-for-large-scale-data-0910.1650</loc><lastmod>2009-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-and-global-approaches-of-affinity-propagation-clustering-for-large-scale-data-0910.1650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-and-global-approaches-of-affinity-propagation-clustering-for-large-scale-data-0910.1650"/></url>
<url><loc>https://scifaro.com/en/abs/effectiveness-and-limitations-of-statistical-spam-filters-0910.2540</loc><lastmod>2009-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effectiveness-and-limitations-of-statistical-spam-filters-0910.2540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effectiveness-and-limitations-of-statistical-spam-filters-0910.2540"/></url>
<url><loc>https://scifaro.com/en/abs/self-concordant-analysis-for-logistic-regression-0910.4627</loc><lastmod>2009-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-concordant-analysis-for-logistic-regression-0910.4627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-concordant-analysis-for-logistic-regression-0910.4627"/></url>
<url><loc>https://scifaro.com/en/abs/competing-with-gaussian-linear-experts-0910.4683</loc><lastmod>2010-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/competing-with-gaussian-linear-experts-0910.4683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/competing-with-gaussian-linear-experts-0910.4683"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-with-score-functions-based-on-nearest-neighbor-graphs-0910.5461</loc><lastmod>2009-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-with-score-functions-based-on-nearest-neighbor-graphs-0910.5461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-with-score-functions-based-on-nearest-neighbor-graphs-0910.5461"/></url>
<url><loc>https://scifaro.com/en/abs/metric-and-kernel-learning-using-a-linear-transformation-0910.5932</loc><lastmod>2009-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-and-kernel-learning-using-a-linear-transformation-0910.5932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-and-kernel-learning-using-a-linear-transformation-0910.5932"/></url>
<url><loc>https://scifaro.com/en/abs/learning-exponential-families-in-high-dimensions-strong-convexity-and-sparsity-0911.0054</loc><lastmod>2015-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-exponential-families-in-high-dimensions-strong-convexity-and-sparsity-0911.0054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-exponential-families-in-high-dimensions-strong-convexity-and-sparsity-0911.0054"/></url>
<url><loc>https://scifaro.com/en/abs/a-mirroring-theorem-and-its-application-to-a-new-method-of-unsupervised-hierarchical-pattern-classification-0911.0225</loc><lastmod>2009-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mirroring-theorem-and-its-application-to-a-new-method-of-unsupervised-hierarchical-pattern-classification-0911.0225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mirroring-theorem-and-its-application-to-a-new-method-of-unsupervised-hierarchical-pattern-classification-0911.0225"/></url>
<url><loc>https://scifaro.com/en/abs/feature-weighted-linear-stacking-0911.0460</loc><lastmod>2009-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-weighted-linear-stacking-0911.0460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-weighted-linear-stacking-0911.0460"/></url>
<url><loc>https://scifaro.com/en/abs/strange-bedfellows-quantum-mechanics-and-data-mining-0911.0462</loc><lastmod>2015-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strange-bedfellows-quantum-mechanics-and-data-mining-0911.0462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strange-bedfellows-quantum-mechanics-and-data-mining-0911.0462"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-anomaly-detection-in-the-presence-of-noise-and-limited-feedback-0911.2904</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-anomaly-detection-in-the-presence-of-noise-and-limited-feedback-0911.2904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-anomaly-detection-in-the-presence-of-noise-and-limited-feedback-0911.2904"/></url>
<url><loc>https://scifaro.com/en/abs/keystroke-dynamics-authentication-for-collaborative-systems-0911.3304</loc><lastmod>2009-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/keystroke-dynamics-authentication-for-collaborative-systems-0911.3304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/keystroke-dynamics-authentication-for-collaborative-systems-0911.3304"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometric-approach-to-sample-compression-0911.3633</loc><lastmod>2014-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometric-approach-to-sample-compression-0911.3633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometric-approach-to-sample-compression-0911.3633"/></url>
<url><loc>https://scifaro.com/en/abs/towards-industrialized-conception-and-production-of-serious-games-0911.4262</loc><lastmod>2009-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-industrialized-conception-and-production-of-serious-games-0911.4262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-industrialized-conception-and-production-of-serious-games-0911.4262"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-exponential-families-a-digest-with-flash-cards-0911.4863</loc><lastmod>2011-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-exponential-families-a-digest-with-flash-cards-0911.4863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-exponential-families-a-digest-with-flash-cards-0911.4863"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-a-large-function-space-privacy-preserving-mechanisms-for-svm-learning-0911.5708</loc><lastmod>2009-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-a-large-function-space-privacy-preserving-mechanisms-for-svm-learning-0911.5708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-a-large-function-space-privacy-preserving-mechanisms-for-svm-learning-0911.5708"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-empirical-risk-minimization-0912.0071</loc><lastmod>2011-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-empirical-risk-minimization-0912.0071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-empirical-risk-minimization-0912.0071"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixtures-of-gaussians-using-the-k-means-algorithm-0912.0086</loc><lastmod>2009-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixtures-of-gaussians-using-the-k-means-algorithm-0912.0086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixtures-of-gaussians-using-the-k-means-algorithm-0912.0086"/></url>
<url><loc>https://scifaro.com/en/abs/isometric-multi-manifolds-learning-0912.0572</loc><lastmod>2009-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/isometric-multi-manifolds-learning-0912.0572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/isometric-multi-manifolds-learning-0912.0572"/></url>
<url><loc>https://scifaro.com/en/abs/designing-kernel-scheme-for-classifiers-fusion-0912.1007</loc><lastmod>2009-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-kernel-scheme-for-classifiers-fusion-0912.1007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-kernel-scheme-for-classifiers-fusion-0912.1007"/></url>
<url><loc>https://scifaro.com/en/abs/delay-optimal-power-and-subcarrier-allocation-for-ofdma-systems-via-stochastic-approximation-0912.1198</loc><lastmod>2009-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delay-optimal-power-and-subcarrier-allocation-for-ofdma-systems-via-stochastic-approximation-0912.1198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delay-optimal-power-and-subcarrier-allocation-for-ofdma-systems-via-stochastic-approximation-0912.1198"/></url>
<url><loc>https://scifaro.com/en/abs/association-rule-pruning-based-on-interestingness-measures-with-clustering-0912.1822</loc><lastmod>2009-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/association-rule-pruning-based-on-interestingness-measures-with-clustering-0912.1822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/association-rule-pruning-based-on-interestingness-measures-with-clustering-0912.1822"/></url>
<url><loc>https://scifaro.com/en/abs/early-detection-of-breast-cancer-using-svm-classifier-technique-0912.2314</loc><lastmod>2009-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-detection-of-breast-cancer-using-svm-classifier-technique-0912.2314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-detection-of-breast-cancer-using-svm-classifier-technique-0912.2314"/></url>
<url><loc>https://scifaro.com/en/abs/closing-the-learning-planning-loop-with-predictive-state-representations-0912.2385</loc><lastmod>2009-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/closing-the-learning-planning-loop-with-predictive-state-representations-0912.2385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/closing-the-learning-planning-loop-with-predictive-state-representations-0912.2385"/></url>
<url><loc>https://scifaro.com/en/abs/performance-analysis-of-aim-k-means-k-means-in-quality-cluster-generation-0912.3983</loc><lastmod>2009-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-analysis-of-aim-k-means-k-means-in-quality-cluster-generation-0912.3983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-analysis-of-aim-k-means-k-means-in-quality-cluster-generation-0912.3983"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-optimization-in-the-bandit-setting-no-regret-and-experimental-design-0912.3995</loc><lastmod>2015-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-optimization-in-the-bandit-setting-no-regret-and-experimental-design-0912.3995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-optimization-in-the-bandit-setting-no-regret-and-experimental-design-0912.3995"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-predict-combinatorial-structures-0912.4473</loc><lastmod>2010-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-predict-combinatorial-structures-0912.4473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-predict-combinatorial-structures-0912.4473"/></url>
<url><loc>https://scifaro.com/en/abs/on-finding-predictors-for-arbitrary-families-of-processes-0912.4883</loc><lastmod>2012-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-finding-predictors-for-arbitrary-families-of-processes-0912.4883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-finding-predictors-for-arbitrary-families-of-processes-0912.4883"/></url>
<url><loc>https://scifaro.com/en/abs/complexity-of-stochastic-branch-and-bound-methods-for-belief-tree-search-in-bayesian-reinforcement-learning-0912.5029</loc><lastmod>2009-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complexity-of-stochastic-branch-and-bound-methods-for-belief-tree-search-in-bayesian-reinforcement-learning-0912.5029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complexity-of-stochastic-branch-and-bound-methods-for-belief-tree-search-in-bayesian-reinforcement-learning-0912.5029"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-query-complexity-for-reconstructing-hypergraphs-1001.0405</loc><lastmod>2010-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-query-complexity-for-reconstructing-hypergraphs-1001.0405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-query-complexity-for-reconstructing-hypergraphs-1001.0405"/></url>
<url><loc>https://scifaro.com/en/abs/vandalism-detection-in-wikipedia-a-bag-of-words-classifier-approach-1001.0700</loc><lastmod>2010-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vandalism-detection-in-wikipedia-a-bag-of-words-classifier-approach-1001.0700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vandalism-detection-in-wikipedia-a-bag-of-words-classifier-approach-1001.0700"/></url>
<url><loc>https://scifaro.com/en/abs/linear-probability-forecasting-1001.0879</loc><lastmod>2010-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-probability-forecasting-1001.0879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-probability-forecasting-1001.0879"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-evaluation-of-four-algorithms-for-multi-class-classification-mart-abc-mart-robust-logitboost-and-abc-logitboost-1001.1020</loc><lastmod>2010-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-four-algorithms-for-multi-class-classification-mart-abc-mart-robust-logitboost-and-abc-logitboost-1001.1020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-four-algorithms-for-multi-class-classification-mart-abc-mart-robust-logitboost-and-abc-logitboost-1001.1020"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-latent-causal-structure-1001.1079</loc><lastmod>2010-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-latent-causal-structure-1001.1079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-latent-causal-structure-1001.1079"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-machines-with-two-layers-and-multiple-kernel-learning-1001.2709</loc><lastmod>2010-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-machines-with-two-layers-and-multiple-kernel-learning-1001.2709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-machines-with-two-layers-and-multiple-kernel-learning-1001.2709"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-learning-curve-and-renormalizable-condition-in-statistical-learning-theory-1001.2957</loc><lastmod>2015-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-learning-curve-and-renormalizable-condition-in-statistical-learning-theory-1001.2957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-learning-curve-and-renormalizable-condition-in-statistical-learning-theory-1001.2957"/></url>
<url><loc>https://scifaro.com/en/abs/role-of-interestingness-measures-in-car-rule-ordering-for-associative-classifier-an-empirical-approach-1001.3478</loc><lastmod>2010-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/role-of-interestingness-measures-in-car-rule-ordering-for-associative-classifier-an-empirical-approach-1001.3478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/role-of-interestingness-measures-in-car-rule-ordering-for-associative-classifier-an-empirical-approach-1001.3478"/></url>
<url><loc>https://scifaro.com/en/abs/x-armed-bandits-1001.4475</loc><lastmod>2011-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/x-armed-bandits-1001.4475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/x-armed-bandits-1001.4475"/></url>
<url><loc>https://scifaro.com/en/abs/trajectory-clustering-and-an-application-to-airspace-monitoring-1001.5007</loc><lastmod>2011-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trajectory-clustering-and-an-application-to-airspace-monitoring-1001.5007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trajectory-clustering-and-an-application-to-airspace-monitoring-1001.5007"/></url>
<url><loc>https://scifaro.com/en/abs/aggregating-algorithm-competing-with-banach-lattices-1002.0709</loc><lastmod>2010-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregating-algorithm-competing-with-banach-lattices-1002.0709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregating-algorithm-competing-with-banach-lattices-1002.0709"/></url>
<url><loc>https://scifaro.com/en/abs/a-chaid-based-performance-prediction-model-in-educational-data-mining-1002.1144</loc><lastmod>2010-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-chaid-based-performance-prediction-model-in-educational-data-mining-1002.1144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-chaid-based-performance-prediction-model-in-educational-data-mining-1002.1144"/></url>
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<url><loc>https://scifaro.com/en/abs/interactive-submodular-set-cover-1002.3345</loc><lastmod>2010-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interactive-submodular-set-cover-1002.3345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interactive-submodular-set-cover-1002.3345"/></url>
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<url><loc>https://scifaro.com/en/abs/gaussian-process-structural-equation-models-with-latent-variables-1002.4802</loc><lastmod>2010-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-structural-equation-models-with-latent-variables-1002.4802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-structural-equation-models-with-latent-variables-1002.4802"/></url>
<url><loc>https://scifaro.com/en/abs/less-regret-via-online-conditioning-1002.4862</loc><lastmod>2010-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/less-regret-via-online-conditioning-1002.4862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/less-regret-via-online-conditioning-1002.4862"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-bound-optimization-for-online-convex-optimization-1002.4908</loc><lastmod>2010-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-bound-optimization-for-online-convex-optimization-1002.4908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-bound-optimization-for-online-convex-optimization-1002.4908"/></url>
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<url><loc>https://scifaro.com/en/abs/a-new-clustering-approach-based-on-page-s-path-similarity-for-navigation-patterns-mining-1003.1450</loc><lastmod>2010-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-clustering-approach-based-on-page-s-path-similarity-for-navigation-patterns-mining-1003.1450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-clustering-approach-based-on-page-s-path-similarity-for-navigation-patterns-mining-1003.1450"/></url>
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<url><loc>https://scifaro.com/en/abs/a-survey-of-na-ive-bayes-machine-learning-approach-in-text-document-classification-1003.1795</loc><lastmod>2010-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-na-ive-bayes-machine-learning-approach-in-text-document-classification-1003.1795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-na-ive-bayes-machine-learning-approach-in-text-document-classification-1003.1795"/></url>
<url><loc>https://scifaro.com/en/abs/supermartingales-in-prediction-with-expert-advice-1003.2218</loc><lastmod>2010-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supermartingales-in-prediction-with-expert-advice-1003.2218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supermartingales-in-prediction-with-expert-advice-1003.2218"/></url>
<url><loc>https://scifaro.com/en/abs/structure-aware-stochastic-control-for-transmission-scheduling-1003.2471</loc><lastmod>2010-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-aware-stochastic-control-for-transmission-scheduling-1003.2471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-aware-stochastic-control-for-transmission-scheduling-1003.2471"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-evasion-of-convex-inducing-classifiers-1003.2751</loc><lastmod>2010-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-evasion-of-convex-inducing-classifiers-1003.2751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-evasion-of-convex-inducing-classifiers-1003.2751"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-heuristic-for-feature-selection-by-consistent-biclustering-1003.3279</loc><lastmod>2010-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-heuristic-for-feature-selection-by-consistent-biclustering-1003.3279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-heuristic-for-feature-selection-by-consistent-biclustering-1003.3279"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-submodularity-theory-and-applications-in-active-learning-and-stochastic-optimization-1003.3967</loc><lastmod>2017-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-submodularity-theory-and-applications-in-active-learning-and-stochastic-optimization-1003.3967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-submodularity-theory-and-applications-in-active-learning-and-stochastic-optimization-1003.3967"/></url>
<url><loc>https://scifaro.com/en/abs/large-margin-boltzmann-machines-and-large-margin-sigmoid-belief-networks-1003.4781</loc><lastmod>2010-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-margin-boltzmann-machines-and-large-margin-sigmoid-belief-networks-1003.4781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-margin-boltzmann-machines-and-large-margin-sigmoid-belief-networks-1003.4781"/></url>
<url><loc>https://scifaro.com/en/abs/etiqueter-un-corpus-oral-par-apprentissage-automatique-a-l-aide-de-connaissances-linguistiques-1003.5749</loc><lastmod>2010-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/etiqueter-un-corpus-oral-par-apprentissage-automatique-a-l-aide-de-connaissances-linguistiques-1003.5749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/etiqueter-un-corpus-oral-par-apprentissage-automatique-a-l-aide-de-connaissances-linguistiques-1003.5749"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-offline-evaluation-of-contextual-bandit-based-news-article-recommendation-algorithms-1003.5956</loc><lastmod>2015-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-offline-evaluation-of-contextual-bandit-based-news-article-recommendation-algorithms-1003.5956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-offline-evaluation-of-contextual-bandit-based-news-article-recommendation-algorithms-1003.5956"/></url>
<url><loc>https://scifaro.com/en/abs/using-rough-set-and-support-vector-machine-for-network-intrusion-detection-1004.0567</loc><lastmod>2010-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-rough-set-and-support-vector-machine-for-network-intrusion-detection-1004.0567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-rough-set-and-support-vector-machine-for-network-intrusion-detection-1004.0567"/></url>
<url><loc>https://scifaro.com/en/abs/on-tsallis-entropy-bias-and-generalized-maximum-entropy-models-1004.1061</loc><lastmod>2010-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-tsallis-entropy-bias-and-generalized-maximum-entropy-models-1004.1061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-tsallis-entropy-bias-and-generalized-maximum-entropy-models-1004.1061"/></url>
<url><loc>https://scifaro.com/en/abs/ontology-supported-processing-of-clinical-text-using-medical-knowledge-integration-for-multi-label-classification-of-diagnosis-coding-1004.1230</loc><lastmod>2010-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ontology-supported-processing-of-clinical-text-using-medical-knowledge-integration-for-multi-label-classification-of-diagnosis-coding-1004.1230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ontology-supported-processing-of-clinical-text-using-medical-knowledge-integration-for-multi-label-classification-of-diagnosis-coding-1004.1230"/></url>
<url><loc>https://scifaro.com/en/abs/an-analytical-study-on-behavior-of-clusters-using-k-means-em-and-k-means-algorithm-1004.1743</loc><lastmod>2010-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analytical-study-on-behavior-of-clusters-using-k-means-em-and-k-means-algorithm-1004.1743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analytical-study-on-behavior-of-clusters-using-k-means-em-and-k-means-algorithm-1004.1743"/></url>
<url><loc>https://scifaro.com/en/abs/state-space-dynamics-distance-for-clustering-sequential-data-1004.1982</loc><lastmod>2010-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-space-dynamics-distance-for-clustering-sequential-data-1004.1982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-space-dynamics-distance-for-clustering-sequential-data-1004.1982"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-policy-programming-1004.2027</loc><lastmod>2011-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-policy-programming-1004.2027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-policy-programming-1004.2027"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-equivalence-of-bayes-cross-validation-and-widely-applicable-information-criterion-in-singular-learning-theory-1004.2316</loc><lastmod>2010-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-equivalence-of-bayes-cross-validation-and-widely-applicable-information-criterion-in-singular-learning-theory-1004.2316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-equivalence-of-bayes-cross-validation-and-widely-applicable-information-criterion-in-singular-learning-theory-1004.2316"/></url>
<url><loc>https://scifaro.com/en/abs/generation-and-interpretation-of-temporal-decision-rules-1004.3334</loc><lastmod>2010-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generation-and-interpretation-of-temporal-decision-rules-1004.3334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generation-and-interpretation-of-temporal-decision-rules-1004.3334"/></url>
<url><loc>https://scifaro.com/en/abs/bregman-distance-to-l1-regularized-logistic-regression-1004.3814</loc><lastmod>2010-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bregman-distance-to-l1-regularized-logistic-regression-1004.3814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bregman-distance-to-l1-regularized-logistic-regression-1004.3814"/></url>
<url><loc>https://scifaro.com/en/abs/settling-the-polynomial-learnability-of-mixtures-of-gaussians-1004.4223</loc><lastmod>2010-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/settling-the-polynomial-learnability-of-mixtures-of-gaussians-1004.4223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/settling-the-polynomial-learnability-of-mixtures-of-gaussians-1004.4223"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-with-partially-observed-attributes-1004.4421</loc><lastmod>2010-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-with-partially-observed-attributes-1004.4421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-with-partially-observed-attributes-1004.4421"/></url>
<url><loc>https://scifaro.com/en/abs/polynomial-learning-of-distribution-families-1004.4864</loc><lastmod>2010-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polynomial-learning-of-distribution-families-1004.4864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polynomial-learning-of-distribution-families-1004.4864"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-from-multiple-outlooks-1005.0027</loc><lastmod>2011-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-multiple-outlooks-1005.0027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-multiple-outlooks-1005.0027"/></url>
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<url><loc>https://scifaro.com/en/abs/distributive-stochastic-learning-for-delay-optimal-ofdma-power-and-subband-allocation-1005.0075</loc><lastmod>2015-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributive-stochastic-learning-for-delay-optimal-ofdma-power-and-subband-allocation-1005.0075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributive-stochastic-learning-for-delay-optimal-ofdma-power-and-subband-allocation-1005.0075"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-bases-for-reinforcement-learning-1005.0125</loc><lastmod>2010-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-bases-for-reinforcement-learning-1005.0125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-bases-for-reinforcement-learning-1005.0125"/></url>
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<url><loc>https://scifaro.com/en/abs/statistical-learning-in-automated-troubleshooting-application-to-lte-interference-mitigation-1005.0340</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-learning-in-automated-troubleshooting-application-to-lte-interference-mitigation-1005.0340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-learning-in-automated-troubleshooting-application-to-lte-interference-mitigation-1005.0340"/></url>
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<url><loc>https://scifaro.com/en/abs/clustering-processes-1005.0826</loc><lastmod>2013-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-processes-1005.0826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-processes-1005.0826"/></url>
<url><loc>https://scifaro.com/en/abs/the-complex-gaussian-kernel-lms-algorithm-1005.0897</loc><lastmod>2010-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-complex-gaussian-kernel-lms-algorithm-1005.0897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-complex-gaussian-kernel-lms-algorithm-1005.0897"/></url>
<url><loc>https://scifaro.com/en/abs/extension-of-wirtinger-calculus-in-rkh-spaces-and-the-complex-kernel-lms-1005.0902</loc><lastmod>2010-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extension-of-wirtinger-calculus-in-rkh-spaces-and-the-complex-kernel-lms-1005.0902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extension-of-wirtinger-calculus-in-rkh-spaces-and-the-complex-kernel-lms-1005.0902"/></url>
<url><loc>https://scifaro.com/en/abs/improving-semi-supervised-support-vector-machines-through-unlabeled-instances-selection-1005.1545</loc><lastmod>2011-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-semi-supervised-support-vector-machines-through-unlabeled-instances-selection-1005.1545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-semi-supervised-support-vector-machines-through-unlabeled-instances-selection-1005.1545"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-with-expert-advice-under-discounted-loss-1005.1918</loc><lastmod>2010-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-with-expert-advice-under-discounted-loss-1005.1918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-with-expert-advice-under-discounted-loss-1005.1918"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-finite-time-convergence-of-cyclic-coordinate-descent-methods-1005.2146</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-finite-time-convergence-of-cyclic-coordinate-descent-methods-1005.2146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-finite-time-convergence-of-cyclic-coordinate-descent-methods-1005.2146"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-blackholes-and-volcanoes-in-directed-networks-1005.2179</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-blackholes-and-volcanoes-in-directed-networks-1005.2179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-blackholes-and-volcanoes-in-directed-networks-1005.2179"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-and-generalization-1005.2243</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-and-generalization-1005.2243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-and-generalization-1005.2243"/></url>
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<url><loc>https://scifaro.com/en/abs/a-short-introduction-to-model-selection-kolmogorov-complexity-and-minimum-description-length-mdl-1005.2364</loc><lastmod>2010-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-short-introduction-to-model-selection-kolmogorov-complexity-and-minimum-description-length-mdl-1005.2364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-short-introduction-to-model-selection-kolmogorov-complexity-and-minimum-description-length-mdl-1005.2364"/></url>
<url><loc>https://scifaro.com/en/abs/eigenvectors-for-clustering-unipartite-bipartite-and-directed-graph-cases-1005.2603</loc><lastmod>2010-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigenvectors-for-clustering-unipartite-bipartite-and-directed-graph-cases-1005.2603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigenvectors-for-clustering-unipartite-bipartite-and-directed-graph-cases-1005.2603"/></url>
<url><loc>https://scifaro.com/en/abs/evolution-with-drifting-targets-1005.3566</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolution-with-drifting-targets-1005.3566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolution-with-drifting-targets-1005.3566"/></url>
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<url><loc>https://scifaro.com/en/abs/on-recursive-edit-distance-kernels-with-application-to-time-series-classification-1005.5141</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-recursive-edit-distance-kernels-with-application-to-time-series-classification-1005.5141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-recursive-edit-distance-kernels-with-application-to-time-series-classification-1005.5141"/></url>
<url><loc>https://scifaro.com/en/abs/wirtinger-s-calculus-in-general-hilbert-spaces-1005.5170</loc><lastmod>2010-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wirtinger-s-calculus-in-general-hilbert-spaces-1005.5170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wirtinger-s-calculus-in-general-hilbert-spaces-1005.5170"/></url>
<url><loc>https://scifaro.com/en/abs/ranked-bandits-in-metric-spaces-learning-optimally-diverse-rankings-over-large-document-collections-1005.5197</loc><lastmod>2012-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranked-bandits-in-metric-spaces-learning-optimally-diverse-rankings-over-large-document-collections-1005.5197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranked-bandits-in-metric-spaces-learning-optimally-diverse-rankings-over-large-document-collections-1005.5197"/></url>
<url><loc>https://scifaro.com/en/abs/using-a-kernel-adatron-for-object-classification-with-rcs-data-1005.5337</loc><lastmod>2010-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-a-kernel-adatron-for-object-classification-with-rcs-data-1005.5337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-a-kernel-adatron-for-object-classification-with-rcs-data-1005.5337"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-clustering-aspect-of-nonnegative-matrix-factorization-1005.5462</loc><lastmod>2010-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-clustering-aspect-of-nonnegative-matrix-factorization-1005.5462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-clustering-aspect-of-nonnegative-matrix-factorization-1005.5462"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-learning-aided-by-weak-domain-knowledge-in-the-form-of-feature-importance-1005.5556</loc><lastmod>2010-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-learning-aided-by-weak-domain-knowledge-in-the-form-of-feature-importance-1005.5556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-learning-aided-by-weak-domain-knowledge-in-the-form-of-feature-importance-1005.5556"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-active-learning-in-the-non-realizable-case-1005.5581</loc><lastmod>2010-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-active-learning-in-the-non-realizable-case-1005.5581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-active-learning-in-the-non-realizable-case-1005.5581"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-relation-between-realizable-and-nonrealizable-cases-of-the-sequence-prediction-problem-1005.5603</loc><lastmod>2014-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-relation-between-realizable-and-nonrealizable-cases-of-the-sequence-prediction-problem-1005.5603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-relation-between-realizable-and-nonrealizable-cases-of-the-sequence-prediction-problem-1005.5603"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-with-advice-of-unknown-number-of-experts-1006.0475</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-with-advice-of-unknown-number-of-experts-1006.0475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-with-advice-of-unknown-number-of-experts-1006.0475"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-pac-learnability-a-paradigm-for-learning-from-exchangeable-input-data-1006.1129</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-pac-learnability-a-paradigm-for-learning-from-exchangeable-input-data-1006.1129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-pac-learnability-a-paradigm-for-learning-from-exchangeable-input-data-1006.1129"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-via-sequential-complexities-1006.1138</loc><lastmod>2014-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-via-sequential-complexities-1006.1138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-via-sequential-complexities-1006.1138"/></url>
<url><loc>https://scifaro.com/en/abs/regression-on-fixed-rank-positive-semidefinite-matrices-a-riemannian-approach-1006.1288</loc><lastmod>2011-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-on-fixed-rank-positive-semidefinite-matrices-a-riemannian-approach-1006.1288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-on-fixed-rank-positive-semidefinite-matrices-a-riemannian-approach-1006.1288"/></url>
<url><loc>https://scifaro.com/en/abs/uncovering-the-riffled-independence-structure-of-rankings-1006.1328</loc><lastmod>2010-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncovering-the-riffled-independence-structure-of-rankings-1006.1328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncovering-the-riffled-independence-structure-of-rankings-1006.1328"/></url>
<url><loc>https://scifaro.com/en/abs/dyadic-prediction-using-a-latent-feature-log-linear-model-1006.2156</loc><lastmod>2010-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dyadic-prediction-using-a-latent-feature-log-linear-model-1006.2156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dyadic-prediction-using-a-latent-feature-log-linear-model-1006.2156"/></url>
<url><loc>https://scifaro.com/en/abs/agnostic-active-learning-without-constraints-1006.2588</loc><lastmod>2010-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agnostic-active-learning-without-constraints-1006.2588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agnostic-active-learning-without-constraints-1006.2588"/></url>
<url><loc>https://scifaro.com/en/abs/approximated-structured-prediction-for-learning-large-scale-graphical-models-1006.2899</loc><lastmod>2012-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximated-structured-prediction-for-learning-large-scale-graphical-models-1006.2899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximated-structured-prediction-for-learning-large-scale-graphical-models-1006.2899"/></url>
<url><loc>https://scifaro.com/en/abs/extension-of-wirtinger-s-calculus-to-reproducing-kernel-hilbert-spaces-and-the-complex-kernel-lms-1006.3033</loc><lastmod>2017-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extension-of-wirtinger-s-calculus-to-reproducing-kernel-hilbert-spaces-and-the-complex-kernel-lms-1006.3033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extension-of-wirtinger-s-calculus-to-reproducing-kernel-hilbert-spaces-and-the-complex-kernel-lms-1006.3033"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-autonomous-online-learning-regrets-and-intrinsic-privacy-preserving-properties-1006.4039</loc><lastmod>2011-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-autonomous-online-learning-regrets-and-intrinsic-privacy-preserving-properties-1006.4039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-autonomous-online-learning-regrets-and-intrinsic-privacy-preserving-properties-1006.4039"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-rough-set-reduct-algorithm-for-medical-domain-based-on-bee-colony-optimization-1006.4540</loc><lastmod>2010-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-rough-set-reduct-algorithm-for-medical-domain-based-on-bee-colony-optimization-1006.4540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-rough-set-reduct-algorithm-for-medical-domain-based-on-bee-colony-optimization-1006.4540"/></url>
<url><loc>https://scifaro.com/en/abs/minlip-for-the-identification-of-monotone-wiener-systems-1006.4832</loc><lastmod>2010-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minlip-for-the-identification-of-monotone-wiener-systems-1006.4832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minlip-for-the-identification-of-monotone-wiener-systems-1006.4832"/></url>
<url><loc>https://scifaro.com/en/abs/graphlab-a-new-framework-for-parallel-machine-learning-1006.4990</loc><lastmod>2010-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphlab-a-new-framework-for-parallel-machine-learning-1006.4990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphlab-a-new-framework-for-parallel-machine-learning-1006.4990"/></url>
<url><loc>https://scifaro.com/en/abs/fast-abc-boost-for-multi-class-classification-1006.5051</loc><lastmod>2010-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-abc-boost-for-multi-class-classification-1006.5051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-abc-boost-for-multi-class-classification-1006.5051"/></url>
<url><loc>https://scifaro.com/en/abs/pac-learnability-of-a-concept-class-under-non-atomic-measures-a-problem-by-vidyasagar-1006.5090</loc><lastmod>2010-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-learnability-of-a-concept-class-under-non-atomic-measures-a-problem-by-vidyasagar-1006.5090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-learnability-of-a-concept-class-under-non-atomic-measures-a-problem-by-vidyasagar-1006.5090"/></url>
<url><loc>https://scifaro.com/en/abs/the-link-prediction-problem-in-bipartite-networks-1006.5367</loc><lastmod>2010-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-link-prediction-problem-in-bipartite-networks-1006.5367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-link-prediction-problem-in-bipartite-networks-1006.5367"/></url>
<url><loc>https://scifaro.com/en/abs/query-strategies-for-evading-convex-inducing-classifiers-1007.0484</loc><lastmod>2010-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/query-strategies-for-evading-convex-inducing-classifiers-1007.0484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/query-strategies-for-evading-convex-inducing-classifiers-1007.0484"/></url>
<url><loc>https://scifaro.com/en/abs/a-reinforcement-learning-model-using-neural-networks-for-music-sight-reading-learning-problem-1007.0548</loc><lastmod>2011-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reinforcement-learning-model-using-neural-networks-for-music-sight-reading-learning-problem-1007.0548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reinforcement-learning-model-using-neural-networks-for-music-sight-reading-learning-problem-1007.0548"/></url>
<url><loc>https://scifaro.com/en/abs/the-latent-bernoulli-gauss-model-for-data-analysis-1007.0660</loc><lastmod>2010-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-latent-bernoulli-gauss-model-for-data-analysis-1007.0660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-latent-bernoulli-gauss-model-for-data-analysis-1007.0660"/></url>
<url><loc>https://scifaro.com/en/abs/filtrage-vaste-marge-pour-l-etiquetage-s-equentiel-a-noyaux-de-signaux-1007.0824</loc><lastmod>2010-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/filtrage-vaste-marge-pour-l-etiquetage-s-equentiel-a-noyaux-de-signaux-1007.0824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/filtrage-vaste-marge-pour-l-etiquetage-s-equentiel-a-noyaux-de-signaux-1007.0824"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-sample-complexity-of-learning-binary-output-neural-networks-under-fixed-input-distributions-1007.1282</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-sample-complexity-of-learning-binary-output-neural-networks-under-fixed-input-distributions-1007.1282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-sample-complexity-of-learning-binary-output-neural-networks-under-fixed-input-distributions-1007.1282"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-via-aixi-approximation-1007.2049</loc><lastmod>2010-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-via-aixi-approximation-1007.2049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-via-aixi-approximation-1007.2049"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-of-feature-markov-processes-1007.2075</loc><lastmod>2012-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-of-feature-markov-processes-1007.2075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-of-feature-markov-processes-1007.2075"/></url>
<url><loc>https://scifaro.com/en/abs/a-brief-introduction-to-temporality-and-causality-1007.2449</loc><lastmod>2010-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-brief-introduction-to-temporality-and-causality-1007.2449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-brief-introduction-to-temporality-and-causality-1007.2449"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-elastic-net-a-unified-framework-for-sparse-dimension-reduction-1007.3564</loc><lastmod>2010-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-elastic-net-a-unified-framework-for-sparse-dimension-reduction-1007.3564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-elastic-net-a-unified-framework-for-sparse-dimension-reduction-1007.3564"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-to-the-shifting-intent-of-search-queries-1007.3799</loc><lastmod>2010-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-to-the-shifting-intent-of-search-queries-1007.3799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-to-the-shifting-intent-of-search-queries-1007.3799"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-support-vector-machine-and-back-propagation-neural-network-in-evaluating-the-enterprise-financial-distress-1007.5133</loc><lastmod>2010-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-support-vector-machine-and-back-propagation-neural-network-in-evaluating-the-enterprise-financial-distress-1007.5133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-support-vector-machine-and-back-propagation-neural-network-in-evaluating-the-enterprise-financial-distress-1007.5133"/></url>
<url><loc>https://scifaro.com/en/abs/close-clustering-based-automated-color-image-annotation-1008.0336</loc><lastmod>2010-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/close-clustering-based-automated-color-image-annotation-1008.0336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/close-clustering-based-automated-color-image-annotation-1008.0336"/></url>
<url><loc>https://scifaro.com/en/abs/bounded-coordinate-descent-for-biological-sequence-classification-in-high-dimensional-predictor-space-1008.0528</loc><lastmod>2010-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounded-coordinate-descent-for-biological-sequence-classification-in-high-dimensional-predictor-space-1008.0528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounded-coordinate-descent-for-biological-sequence-classification-in-high-dimensional-predictor-space-1008.0528"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-kernel-pca-1008.1398</loc><lastmod>2010-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-kernel-pca-1008.1398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-kernel-pca-1008.1398"/></url>
<url><loc>https://scifaro.com/en/abs/separate-training-for-conditional-random-fields-using-co-occurrence-rate-factorization-1008.1566</loc><lastmod>2012-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/separate-training-for-conditional-random-fields-using-co-occurrence-rate-factorization-1008.1566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/separate-training-for-conditional-random-fields-using-co-occurrence-rate-factorization-1008.1566"/></url>
<url><loc>https://scifaro.com/en/abs/nesvm-a-fast-gradient-method-for-support-vector-machines-1008.4000</loc><lastmod>2011-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nesvm-a-fast-gradient-method-for-support-vector-machines-1008.4000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nesvm-a-fast-gradient-method-for-support-vector-machines-1008.4000"/></url>
<url><loc>https://scifaro.com/en/abs/structured-sparsity-inducing-norms-through-submodular-functions-1008.4220</loc><lastmod>2010-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-sparsity-inducing-norms-through-submodular-functions-1008.4220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-sparsity-inducing-norms-through-submodular-functions-1008.4220"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-in-case-of-unbounded-losses-using-the-follow-perturbed-leader-algorithm-1008.4232</loc><lastmod>2010-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-in-case-of-unbounded-losses-using-the-follow-perturbed-leader-algorithm-1008.4232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-in-case-of-unbounded-losses-using-the-follow-perturbed-leader-algorithm-1008.4232"/></url>
<url><loc>https://scifaro.com/en/abs/switching-between-hidden-markov-models-using-fixed-share-1008.4532</loc><lastmod>2010-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/switching-between-hidden-markov-models-using-fixed-share-1008.4532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/switching-between-hidden-markov-models-using-fixed-share-1008.4532"/></url>
<url><loc>https://scifaro.com/en/abs/freezing-and-sleeping-tracking-experts-that-learn-by-evolving-past-posteriors-1008.4654</loc><lastmod>2010-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/freezing-and-sleeping-tracking-experts-that-learn-by-evolving-past-posteriors-1008.4654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/freezing-and-sleeping-tracking-experts-that-learn-by-evolving-past-posteriors-1008.4654"/></url>
<url><loc>https://scifaro.com/en/abs/fixed-point-and-coordinate-descent-algorithms-for-regularized-kernel-methods-1008.5090</loc><lastmod>2013-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixed-point-and-coordinate-descent-algorithms-for-regularized-kernel-methods-1008.5090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixed-point-and-coordinate-descent-algorithms-for-regularized-kernel-methods-1008.5090"/></url>
<url><loc>https://scifaro.com/en/abs/memristor-crossbar-based-hardware-implementation-of-ids-method-1008.5133</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memristor-crossbar-based-hardware-implementation-of-ids-method-1008.5133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memristor-crossbar-based-hardware-implementation-of-ids-method-1008.5133"/></url>
<url><loc>https://scifaro.com/en/abs/network-flow-algorithms-for-structured-sparsity-1008.5209</loc><lastmod>2010-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-flow-algorithms-for-structured-sparsity-1008.5209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-flow-algorithms-for-structured-sparsity-1008.5209"/></url>
<url><loc>https://scifaro.com/en/abs/inference-with-multivariate-heavy-tails-in-linear-models-1008.5325</loc><lastmod>2011-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-with-multivariate-heavy-tails-in-linear-models-1008.5325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-with-multivariate-heavy-tails-in-linear-models-1008.5325"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-language-independent-emotional-acoustic-features-via-feature-selection-1009.0117</loc><lastmod>2010-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-language-independent-emotional-acoustic-features-via-feature-selection-1009.0117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-language-independent-emotional-acoustic-features-via-feature-selection-1009.0117"/></url>
<url><loc>https://scifaro.com/en/abs/fast-overlapping-group-lasso-1009.0306</loc><lastmod>2010-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-overlapping-group-lasso-1009.0306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-overlapping-group-lasso-1009.0306"/></url>
<url><loc>https://scifaro.com/en/abs/a-pac-bayesian-analysis-of-graph-clustering-and-pairwise-clustering-1009.0499</loc><lastmod>2010-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pac-bayesian-analysis-of-graph-clustering-and-pairwise-clustering-1009.0499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pac-bayesian-analysis-of-graph-clustering-and-pairwise-clustering-1009.0499"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-bandits-for-tree-search-theory-and-application-to-planning-in-discounted-mdps-1009.0605</loc><lastmod>2011-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-bandits-for-tree-search-theory-and-application-to-planning-in-discounted-mdps-1009.0605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-bandits-for-tree-search-theory-and-application-to-planning-in-discounted-mdps-1009.0605"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-by-comparing-immediate-reward-1009.2566</loc><lastmod>2010-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-by-comparing-immediate-reward-1009.2566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-by-comparing-immediate-reward-1009.2566"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-view-of-regularized-dual-averaging-and-mirror-descent-with-implicit-updates-1009.3240</loc><lastmod>2011-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-view-of-regularized-dual-averaging-and-mirror-descent-with-implicit-updates-1009.3240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-view-of-regularized-dual-averaging-and-mirror-descent-with-implicit-updates-1009.3240"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-random-fields-and-support-vector-machines-a-hybrid-approach-1009.3346</loc><lastmod>2010-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-random-fields-and-support-vector-machines-a-hybrid-approach-1009.3346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-random-fields-and-support-vector-machines-a-hybrid-approach-1009.3346"/></url>
<url><loc>https://scifaro.com/en/abs/safe-feature-elimination-in-sparse-supervised-learning-1009.3515</loc><lastmod>2010-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-feature-elimination-in-sparse-supervised-learning-1009.3515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-feature-elimination-in-sparse-supervised-learning-1009.3515"/></url>
<url><loc>https://scifaro.com/en/abs/deep-self-taught-learning-for-handwritten-character-recognition-1009.3589</loc><lastmod>2010-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-self-taught-learning-for-handwritten-character-recognition-1009.3589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-self-taught-learning-for-handwritten-character-recognition-1009.3589"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-decision-tree-1009.3604</loc><lastmod>2012-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-decision-tree-1009.3604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-decision-tree-1009.3604"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-doubt-about-margin-explanation-of-boosting-1009.3613</loc><lastmod>2013-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-doubt-about-margin-explanation-of-boosting-1009.3613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-doubt-about-margin-explanation-of-boosting-1009.3613"/></url>
<url><loc>https://scifaro.com/en/abs/totally-corrective-multiclass-boosting-with-binary-weak-learners-1009.3702</loc><lastmod>2010-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/totally-corrective-multiclass-boosting-with-binary-weak-learners-1009.3702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/totally-corrective-multiclass-boosting-with-binary-weak-learners-1009.3702"/></url>
<url><loc>https://scifaro.com/en/abs/optimistic-rates-for-learning-with-a-smooth-loss-1009.3896</loc><lastmod>2012-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimistic-rates-for-learning-with-a-smooth-loss-1009.3896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimistic-rates-for-learning-with-a-smooth-loss-1009.3896"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-inference-and-stochastic-optimal-control-1009.3958</loc><lastmod>2010-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-inference-and-stochastic-optimal-control-1009.3958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-inference-and-stochastic-optimal-control-1009.3958"/></url>
<url><loc>https://scifaro.com/en/abs/safe-feature-elimination-for-the-lasso-and-sparse-supervised-learning-problems-1009.4219</loc><lastmod>2011-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-feature-elimination-for-the-lasso-and-sparse-supervised-learning-problems-1009.4219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-feature-elimination-for-the-lasso-and-sparse-supervised-learning-problems-1009.4219"/></url>
<url><loc>https://scifaro.com/en/abs/text-classification-using-the-concept-of-association-rule-of-data-mining-1009.4582</loc><lastmod>2010-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/text-classification-using-the-concept-of-association-rule-of-data-mining-1009.4582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/text-classification-using-the-concept-of-association-rule-of-data-mining-1009.4582"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-l1-lq-norm-regularization-1009.4766</loc><lastmod>2010-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-l1-lq-norm-regularization-1009.4766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-l1-lq-norm-regularization-1009.4766"/></url>
<url><loc>https://scifaro.com/en/abs/multi-parametric-solution-path-algorithm-for-instance-weighted-support-vector-machines-1009.4791</loc><lastmod>2010-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-parametric-solution-path-algorithm-for-instance-weighted-support-vector-machines-1009.4791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-parametric-solution-path-algorithm-for-instance-weighted-support-vector-machines-1009.4791"/></url>
<url><loc>https://scifaro.com/en/abs/speaker-identification-using-mfcc-domain-support-vector-machine-1009.4972</loc><lastmod>2010-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speaker-identification-using-mfcc-domain-support-vector-machine-1009.4972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speaker-identification-using-mfcc-domain-support-vector-machine-1009.4972"/></url>
<url><loc>https://scifaro.com/en/abs/portfolio-allocation-for-bayesian-optimization-1009.5419</loc><lastmod>2011-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/portfolio-allocation-for-bayesian-optimization-1009.5419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/portfolio-allocation-for-bayesian-optimization-1009.5419"/></url>
<url><loc>https://scifaro.com/en/abs/fast-reinforcement-learning-for-energy-efficient-wireless-communications-1009.5773</loc><lastmod>2017-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-reinforcement-learning-for-energy-efficient-wireless-communications-1009.5773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-reinforcement-learning-for-energy-efficient-wireless-communications-1009.5773"/></url>
<url><loc>https://scifaro.com/en/abs/the-attentive-perceptron-1009.5972</loc><lastmod>2010-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-attentive-perceptron-1009.5972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-attentive-perceptron-1009.5972"/></url>
<url><loc>https://scifaro.com/en/abs/queue-aware-distributive-resource-control-for-delay-sensitive-two-hop-mimo-cooperative-systems-1010.0287</loc><lastmod>2015-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/queue-aware-distributive-resource-control-for-delay-sensitive-two-hop-mimo-cooperative-systems-1010.0287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/queue-aware-distributive-resource-control-for-delay-sensitive-two-hop-mimo-cooperative-systems-1010.0287"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-classification-by-class-specific-mahalanobis-distance-measures-1010.1526</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-classification-by-class-specific-mahalanobis-distance-measures-1010.1526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-classification-by-class-specific-mahalanobis-distance-measures-1010.1526"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-for-nonnegative-matrix-factorization-with-the-beta-divergence-1010.1763</loc><lastmod>2011-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-nonnegative-matrix-factorization-with-the-beta-divergence-1010.1763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-nonnegative-matrix-factorization-with-the-beta-divergence-1010.1763"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-genetic-programming-projection-pursuit-for-exploratory-data-modeling-1010.1888</loc><lastmod>2010-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-genetic-programming-projection-pursuit-for-exploratory-data-modeling-1010.1888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-genetic-programming-projection-pursuit-for-exploratory-data-modeling-1010.1888"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-bayesian-active-learning-with-noisy-observations-1010.3091</loc><lastmod>2013-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-bayesian-active-learning-with-noisy-observations-1010.3091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-bayesian-active-learning-with-noisy-observations-1010.3091"/></url>
<url><loc>https://scifaro.com/en/abs/hardness-results-for-agnostically-learning-low-degree-polynomial-threshold-functions-1010.3484</loc><lastmod>2010-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hardness-results-for-agnostically-learning-low-degree-polynomial-threshold-functions-1010.3484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hardness-results-for-agnostically-learning-low-degree-polynomial-threshold-functions-1010.3484"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-matrix-completion-with-gaussian-models-1010.4050</loc><lastmod>2010-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-matrix-completion-with-gaussian-models-1010.4050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-matrix-completion-with-gaussian-models-1010.4050"/></url>
<url><loc>https://scifaro.com/en/abs/convex-analysis-and-optimization-with-submodular-functions-a-tutorial-1010.4207</loc><lastmod>2010-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-analysis-and-optimization-with-submodular-functions-a-tutorial-1010.4207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-analysis-and-optimization-with-submodular-functions-a-tutorial-1010.4207"/></url>
<url><loc>https://scifaro.com/en/abs/robust-pca-via-outlier-pursuit-1010.4237</loc><lastmod>2011-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-pca-via-outlier-pursuit-1010.4237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-pca-via-outlier-pursuit-1010.4237"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-clustering-based-on-data-compression-1010.4253</loc><lastmod>2010-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-clustering-based-on-data-compression-1010.4253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-clustering-based-on-data-compression-1010.4253"/></url>
<url><loc>https://scifaro.com/en/abs/sublinear-optimization-for-machine-learning-1010.4408</loc><lastmod>2010-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sublinear-optimization-for-machine-learning-1010.4408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sublinear-optimization-for-machine-learning-1010.4408"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-foundations-of-adversarial-single-class-classification-1010.4466</loc><lastmod>2010-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-foundations-of-adversarial-single-class-classification-1010.4466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-foundations-of-adversarial-single-class-classification-1010.4466"/></url>
<url><loc>https://scifaro.com/en/abs/converged-algorithms-for-orthogonal-nonnegative-matrix-factorizations-1010.5290</loc><lastmod>2011-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/converged-algorithms-for-orthogonal-nonnegative-matrix-factorizations-1010.5290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/converged-algorithms-for-orthogonal-nonnegative-matrix-factorizations-1010.5290"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-minimization-of-decomposable-submodular-functions-1010.5511</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-minimization-of-decomposable-submodular-functions-1010.5511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-minimization-of-decomposable-submodular-functions-1010.5511"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-state-temporal-difference-learning-1011.0041</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-state-temporal-difference-learning-1011.0041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-state-temporal-difference-learning-1011.0041"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-inverse-covariance-selection-via-alternating-linearization-methods-1011.0097</loc><lastmod>2010-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-inverse-covariance-selection-via-alternating-linearization-methods-1011.0097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-inverse-covariance-selection-via-alternating-linearization-methods-1011.0097"/></url>
<url><loc>https://scifaro.com/en/abs/developing-courses-with-holorena-a-framework-for-scenario-and-game-based-e-learning-environments-1011.0350</loc><lastmod>2010-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/developing-courses-with-holorena-a-framework-for-scenario-and-game-based-e-learning-environments-1011.0350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/developing-courses-with-holorena-a-framework-for-scenario-and-game-based-e-learning-environments-1011.0350"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-risk-minimization-by-nesterov-s-accelerated-gradient-methods-algorithmic-extensions-and-empirical-studies-1011.0472</loc><lastmod>2010-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-risk-minimization-by-nesterov-s-accelerated-gradient-methods-algorithmic-extensions-and-empirical-studies-1011.0472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-risk-minimization-by-nesterov-s-accelerated-gradient-methods-algorithmic-extensions-and-empirical-studies-1011.0472"/></url>
<url><loc>https://scifaro.com/en/abs/a-reduction-of-imitation-learning-and-structured-prediction-to-no-regret-online-learning-1011.0686</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reduction-of-imitation-learning-and-structured-prediction-to-no-regret-online-learning-1011.0686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reduction-of-imitation-learning-and-structured-prediction-to-no-regret-online-learning-1011.0686"/></url>
<url><loc>https://scifaro.com/en/abs/online-importance-weight-aware-updates-1011.1576</loc><lastmod>2011-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-importance-weight-aware-updates-1011.1576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-importance-weight-aware-updates-1011.1576"/></url>
<url><loc>https://scifaro.com/en/abs/blackwell-approachability-and-low-regret-learning-are-equivalent-1011.1936</loc><lastmod>2010-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blackwell-approachability-and-low-regret-learning-are-equivalent-1011.1936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blackwell-approachability-and-low-regret-learning-are-equivalent-1011.1936"/></url>
<url><loc>https://scifaro.com/en/abs/paddle-proximal-algorithm-for-dual-dictionaries-learning-1011.3728</loc><lastmod>2010-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/paddle-proximal-algorithm-for-dual-dictionaries-learning-1011.3728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/paddle-proximal-algorithm-for-dual-dictionaries-learning-1011.3728"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-and-latent-semantic-indexing-aspects-of-the-singular-value-decomposition-1011.4104</loc><lastmod>2012-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-and-latent-semantic-indexing-aspects-of-the-singular-value-decomposition-1011.4104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-and-latent-semantic-indexing-aspects-of-the-singular-value-decomposition-1011.4104"/></url>
<url><loc>https://scifaro.com/en/abs/tight-sample-complexity-of-large-margin-learning-1011.5053</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-sample-complexity-of-large-margin-learning-1011.5053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-sample-complexity-of-large-margin-learning-1011.5053"/></url>
<url><loc>https://scifaro.com/en/abs/on-theorem-2-3-in-prediction-learning-and-games-by-cesa-bianchi-and-lugosi-1011.5668</loc><lastmod>2010-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-theorem-2-3-in-prediction-learning-and-games-by-cesa-bianchi-and-lugosi-1011.5668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-theorem-2-3-in-prediction-learning-and-games-by-cesa-bianchi-and-lugosi-1011.5668"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-probabilities-in-recommendation-systems-1012.0498</loc><lastmod>2010-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-probabilities-in-recommendation-systems-1012.0498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-probabilities-in-recommendation-systems-1012.0498"/></url>
<url><loc>https://scifaro.com/en/abs/closed-set-based-discovery-of-bases-of-association-rules-1012.0735</loc><lastmod>2011-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/closed-set-based-discovery-of-bases-of-association-rules-1012.0735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/closed-set-based-discovery-of-bases-of-association-rules-1012.0735"/></url>
<url><loc>https://scifaro.com/en/abs/an-inverse-power-method-for-nonlinear-eigenproblems-with-applications-in-1-spectral-clustering-and-sparse-pca-1012.0774</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-inverse-power-method-for-nonlinear-eigenproblems-with-applications-in-1-spectral-clustering-and-sparse-pca-1012.0774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-inverse-power-method-for-nonlinear-eigenproblems-with-applications-in-1-spectral-clustering-and-sparse-pca-1012.0774"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-optimization-of-performance-measures-by-classifier-adaptation-1012.0930</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-optimization-of-performance-measures-by-classifier-adaptation-1012.0930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-optimization-of-performance-measures-by-classifier-adaptation-1012.0930"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-distributed-online-prediction-using-mini-batches-1012.1367</loc><lastmod>2012-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-distributed-online-prediction-using-mini-batches-1012.1367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-distributed-online-prediction-using-mini-batches-1012.1367"/></url>
<url><loc>https://scifaro.com/en/abs/robust-distributed-online-prediction-1012.1370</loc><lastmod>2010-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-distributed-online-prediction-1012.1370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-distributed-online-prediction-1012.1370"/></url>
<url><loc>https://scifaro.com/en/abs/shaping-level-sets-with-submodular-functions-1012.1501</loc><lastmod>2011-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shaping-level-sets-with-submodular-functions-1012.1501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shaping-level-sets-with-submodular-functions-1012.1501"/></url>
<url><loc>https://scifaro.com/en/abs/context-aware-end-to-end-connectivity-management-1012.2514</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-aware-end-to-end-connectivity-management-1012.2514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-aware-end-to-end-connectivity-management-1012.2514"/></url>
<url><loc>https://scifaro.com/en/abs/a-tutorial-on-bayesian-optimization-of-expensive-cost-functions-with-application-to-active-user-modeling-and-hierarchical-reinforcement-learning-1012.2599</loc><lastmod>2010-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-bayesian-optimization-of-expensive-cost-functions-with-application-to-active-user-modeling-and-hierarchical-reinforcement-learning-1012.2599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-bayesian-optimization-of-expensive-cost-functions-with-application-to-active-user-modeling-and-hierarchical-reinforcement-learning-1012.2599"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-category-frequency-based-supervised-term-weighting-scheme-for-text-categorization-1012.2609</loc><lastmod>2012-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-category-frequency-based-supervised-term-weighting-scheme-for-text-categorization-1012.2609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-category-frequency-based-supervised-term-weighting-scheme-for-text-categorization-1012.2609"/></url>
<url><loc>https://scifaro.com/en/abs/queue-aware-dynamic-clustering-and-power-allocation-for-network-mimo-systems-via-distributive-stochastic-learning-1012.3877</loc><lastmod>2017-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/queue-aware-dynamic-clustering-and-power-allocation-for-network-mimo-systems-via-distributive-stochastic-learning-1012.3877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/queue-aware-dynamic-clustering-and-power-allocation-for-network-mimo-systems-via-distributive-stochastic-learning-1012.3877"/></url>
<url><loc>https://scifaro.com/en/abs/survey-experiment-towards-the-learning-accuracy-1012.4051</loc><lastmod>2010-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survey-experiment-towards-the-learning-accuracy-1012.4051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survey-experiment-towards-the-learning-accuracy-1012.4051"/></url>
<url><loc>https://scifaro.com/en/abs/travel-time-estimation-using-floating-car-data-1012.4249</loc><lastmod>2010-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/travel-time-estimation-using-floating-car-data-1012.4249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/travel-time-estimation-using-floating-car-data-1012.4249"/></url>
<url><loc>https://scifaro.com/en/abs/how-i-won-the-chess-ratings-elo-vs-the-rest-of-the-world-competition-1012.4571</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-i-won-the-chess-ratings-elo-vs-the-rest-of-the-world-competition-1012.4571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-i-won-the-chess-ratings-elo-vs-the-rest-of-the-world-competition-1012.4571"/></url>
<url><loc>https://scifaro.com/en/abs/calibration-using-matrix-completion-with-application-to-ultrasound-tomography-1012.4928</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibration-using-matrix-completion-with-application-to-ultrasound-tomography-1012.4928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibration-using-matrix-completion-with-application-to-ultrasound-tomography-1012.4928"/></url>
<url><loc>https://scifaro.com/en/abs/the-local-optimality-of-reinforcement-learning-by-value-gradients-and-its-relationship-to-policy-gradient-learning-1101.0428</loc><lastmod>2011-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-local-optimality-of-reinforcement-learning-by-value-gradients-and-its-relationship-to-policy-gradient-learning-1101.0428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-local-optimality-of-reinforcement-learning-by-value-gradients-and-its-relationship-to-policy-gradient-learning-1101.0428"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-normalization-in-the-belief-propagation-algorithm-1101.4170</loc><lastmod>2011-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-normalization-in-the-belief-propagation-algorithm-1101.4170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-normalization-in-the-belief-propagation-algorithm-1101.4170"/></url>
<url><loc>https://scifaro.com/en/abs/close-the-gaps-a-learning-while-doing-algorithm-for-a-class-of-single-product-revenue-management-problems-1101.4681</loc><lastmod>2013-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/close-the-gaps-a-learning-while-doing-algorithm-for-a-class-of-single-product-revenue-management-problems-1101.4681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/close-the-gaps-a-learning-while-doing-algorithm-for-a-class-of-single-product-revenue-management-problems-1101.4681"/></url>
<url><loc>https://scifaro.com/en/abs/a-primal-dual-convergence-analysis-of-boosting-1101.4752</loc><lastmod>2012-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-primal-dual-convergence-analysis-of-boosting-1101.4752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-primal-dual-convergence-analysis-of-boosting-1101.4752"/></url>
<url><loc>https://scifaro.com/en/abs/using-feature-weights-to-improve-performance-of-neural-networks-1101.4918</loc><lastmod>2011-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-feature-weights-to-improve-performance-of-neural-networks-1101.4918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-feature-weights-to-improve-performance-of-neural-networks-1101.4918"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-method-for-integrating-rule-based-knowledge-into-inductive-methods-through-virtual-sample-creation-1101.4924</loc><lastmod>2011-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-method-for-integrating-rule-based-knowledge-into-inductive-methods-through-virtual-sample-creation-1101.4924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-method-for-integrating-rule-based-knowledge-into-inductive-methods-through-virtual-sample-creation-1101.4924"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-template-based-learning-model-1101.5039</loc><lastmod>2011-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-template-based-learning-model-1101.5039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-template-based-learning-model-1101.5039"/></url>
<url><loc>https://scifaro.com/en/abs/active-markov-information-theoretic-path-planning-for-robotic-environmental-sensing-1101.5632</loc><lastmod>2011-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-markov-information-theoretic-path-planning-for-robotic-environmental-sensing-1101.5632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-markov-information-theoretic-path-planning-for-robotic-environmental-sensing-1101.5632"/></url>
<url><loc>https://scifaro.com/en/abs/spatially-aware-comparison-and-consensus-for-clusterings-1102.0026</loc><lastmod>2015-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatially-aware-comparison-and-consensus-for-clusterings-1102.0026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatially-aware-comparison-and-consensus-for-clusterings-1102.0026"/></url>
<url><loc>https://scifaro.com/en/abs/eigennet-a-bayesian-hybrid-of-generative-and-conditional-models-for-sparse-learning-1102.0836</loc><lastmod>2011-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigennet-a-bayesian-hybrid-of-generative-and-conditional-models-for-sparse-learning-1102.0836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigennet-a-bayesian-hybrid-of-generative-and-conditional-models-for-sparse-learning-1102.0836"/></url>
<url><loc>https://scifaro.com/en/abs/refinement-of-operator-valued-reproducing-kernels-1102.1324</loc><lastmod>2011-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/refinement-of-operator-valued-reproducing-kernels-1102.1324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/refinement-of-operator-valued-reproducing-kernels-1102.1324"/></url>
<url><loc>https://scifaro.com/en/abs/universal-learning-theory-1102.2467</loc><lastmod>2012-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-learning-theory-1102.2467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-learning-theory-1102.2467"/></url>
<url><loc>https://scifaro.com/en/abs/transductive-ordinal-regression-1102.2808</loc><lastmod>2015-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transductive-ordinal-regression-1102.2808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transductive-ordinal-regression-1102.2808"/></url>
<url><loc>https://scifaro.com/en/abs/concentration-based-guarantees-for-low-rank-matrix-reconstruction-1102.3923</loc><lastmod>2011-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concentration-based-guarantees-for-low-rank-matrix-reconstruction-1102.3923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concentration-based-guarantees-for-low-rank-matrix-reconstruction-1102.3923"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-spam-filtering-1102.4021</loc><lastmod>2011-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-spam-filtering-1102.4021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-spam-filtering-1102.4021"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-neural-networks-with-large-learning-diversity-1102.4240</loc><lastmod>2011-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-neural-networks-with-large-learning-diversity-1102.4240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-neural-networks-with-large-learning-diversity-1102.4240"/></url>
<url><loc>https://scifaro.com/en/abs/internal-regret-with-partial-monitoring-calibration-based-optimal-algorithms-1102.4442</loc><lastmod>2011-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/internal-regret-with-partial-monitoring-calibration-based-optimal-algorithms-1102.4442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/internal-regret-with-partial-monitoring-calibration-based-optimal-algorithms-1102.4442"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-learning-via-structured-decomposition-and-group-sparsity-1103.0102</loc><lastmod>2011-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-learning-via-structured-decomposition-and-group-sparsity-1103.0102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-learning-via-structured-decomposition-and-group-sparsity-1103.0102"/></url>
<url><loc>https://scifaro.com/en/abs/natural-language-processing-almost-from-scratch-1103.0398</loc><lastmod>2011-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-language-processing-almost-from-scratch-1103.0398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-language-processing-almost-from-scratch-1103.0398"/></url>
<url><loc>https://scifaro.com/en/abs/learning-transformed-product-distributions-1103.0598</loc><lastmod>2011-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-transformed-product-distributions-1103.0598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-transformed-product-distributions-1103.0598"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-volterra-and-polynomial-regression-models-recoverability-and-estimation-1103.0769</loc><lastmod>2015-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-volterra-and-polynomial-regression-models-recoverability-and-estimation-1103.0769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-volterra-and-polynomial-regression-models-recoverability-and-estimation-1103.0769"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-multi-template-learning-for-structured-prediction-1103.0890</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-multi-template-learning-for-structured-prediction-1103.0890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-multi-template-learning-for-structured-prediction-1103.0890"/></url>
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<url><loc>https://scifaro.com/en/abs/comet-a-recipe-for-learning-and-using-large-ensembles-on-massive-data-1103.2068</loc><lastmod>2013-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comet-a-recipe-for-learning-and-using-large-ensembles-on-massive-data-1103.2068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comet-a-recipe-for-learning-and-using-large-ensembles-on-massive-data-1103.2068"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-learning-in-zero-sum-stochastic-games-with-incomplete-information-1103.2491</loc><lastmod>2011-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-learning-in-zero-sum-stochastic-games-with-incomplete-information-1103.2491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-learning-in-zero-sum-stochastic-games-with-incomplete-information-1103.2491"/></url>
<url><loc>https://scifaro.com/en/abs/autotagging-music-with-conditional-restricted-boltzmann-machines-1103.2832</loc><lastmod>2011-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autotagging-music-with-conditional-restricted-boltzmann-machines-1103.2832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autotagging-music-with-conditional-restricted-boltzmann-machines-1103.2832"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-active-learning-for-smooth-problems-1103.3095</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-active-learning-for-smooth-problems-1103.3095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-active-learning-for-smooth-problems-1103.3095"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-online-learning-1103.4204</loc><lastmod>2011-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-online-learning-1103.4204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-online-learning-1103.4204"/></url>
<url><loc>https://scifaro.com/en/abs/clustered-regression-with-unknown-clusters-1103.4480</loc><lastmod>2011-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustered-regression-with-unknown-clusters-1103.4480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustered-regression-with-unknown-clusters-1103.4480"/></url>
<url><loc>https://scifaro.com/en/abs/handwritten-digit-recognition-with-a-committee-of-deep-neural-nets-on-gpus-1103.4487</loc><lastmod>2011-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/handwritten-digit-recognition-with-a-committee-of-deep-neural-nets-on-gpus-1103.4487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/handwritten-digit-recognition-with-a-committee-of-deep-neural-nets-on-gpus-1103.4487"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-robust-policy-evaluation-and-learning-1103.4601</loc><lastmod>2011-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-robust-policy-evaluation-and-learning-1103.4601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-robust-policy-evaluation-and-learning-1103.4601"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-sets-using-restricted-boltzmann-machines-1103.4896</loc><lastmod>2011-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-sets-using-restricted-boltzmann-machines-1103.4896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-sets-using-restricted-boltzmann-machines-1103.4896"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-independent-evolvability-of-linear-threshold-functions-1103.4904</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-independent-evolvability-of-linear-threshold-functions-1103.4904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-independent-evolvability-of-linear-threshold-functions-1103.4904"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-online-learning-algorithms-for-opportunistic-spectrum-access-1104.0111</loc><lastmod>2011-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-online-learning-algorithms-for-opportunistic-spectrum-access-1104.0111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-online-learning-algorithms-for-opportunistic-spectrum-access-1104.0111"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-robust-classification-1104.0235</loc><lastmod>2011-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-robust-classification-1104.0235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-robust-classification-1104.0235"/></url>
<url><loc>https://scifaro.com/en/abs/meaningful-clustered-forest-an-automatic-and-robust-clustering-algorithm-1104.0651</loc><lastmod>2011-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meaningful-clustered-forest-an-automatic-and-robust-clustering-algorithm-1104.0651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meaningful-clustered-forest-an-automatic-and-robust-clustering-algorithm-1104.0651"/></url>
<url><loc>https://scifaro.com/en/abs/online-and-batch-learning-algorithms-for-data-with-missing-features-1104.0729</loc><lastmod>2012-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-and-batch-learning-algorithms-for-data-with-missing-features-1104.0729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-and-batch-learning-algorithms-for-data-with-missing-features-1104.0729"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-first-order-methods-for-linear-composite-regularizers-1104.1436</loc><lastmod>2011-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-first-order-methods-for-linear-composite-regularizers-1104.1436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-first-order-methods-for-linear-composite-regularizers-1104.1436"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-evolutionary-clustering-1104.1990</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-evolutionary-clustering-1104.1990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-evolutionary-clustering-1104.1990"/></url>
<url><loc>https://scifaro.com/en/abs/pac-learnability-versus-vc-dimension-a-footnote-to-a-basic-result-of-statistical-learning-1104.2097</loc><lastmod>2011-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-learnability-versus-vc-dimension-a-footnote-to-a-basic-result-of-statistical-learning-1104.2097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-learnability-versus-vc-dimension-a-footnote-to-a-basic-result-of-statistical-learning-1104.2097"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-second-difference-traces-1104.4664</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-second-difference-traces-1104.4664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-second-difference-traces-1104.4664"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-partially-observed-graphs-via-convex-optimization-1104.4803</loc><lastmod>2014-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-partially-observed-graphs-via-convex-optimization-1104.4803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-partially-observed-graphs-via-convex-optimization-1104.4803"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-commitment-to-tasks-with-off-policy-hierarchical-reinforcement-learning-1104.5059</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-commitment-to-tasks-with-off-policy-hierarchical-reinforcement-learning-1104.5059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-commitment-to-tasks-with-off-policy-hierarchical-reinforcement-learning-1104.5059"/></url>
<url><loc>https://scifaro.com/en/abs/attacking-and-defending-covert-channels-and-behavioral-models-1104.5071</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attacking-and-defending-covert-channels-and-behavioral-models-1104.5071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attacking-and-defending-covert-channels-and-behavioral-models-1104.5071"/></url>
<url><loc>https://scifaro.com/en/abs/on-optimality-of-greedy-policy-for-a-class-of-standard-reward-function-of-restless-multi-armed-bandit-problem-1104.5391</loc><lastmod>2011-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-optimality-of-greedy-policy-for-a-class-of-standard-reward-function-of-restless-multi-armed-bandit-problem-1104.5391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-optimality-of-greedy-policy-for-a-class-of-standard-reward-function-of-restless-multi-armed-bandit-problem-1104.5391"/></url>
<url><loc>https://scifaro.com/en/abs/notes-on-a-new-philosophy-of-empirical-science-1104.5466</loc><lastmod>2011-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/notes-on-a-new-philosophy-of-empirical-science-1104.5466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/notes-on-a-new-philosophy-of-empirical-science-1104.5466"/></url>
<url><loc>https://scifaro.com/en/abs/mean-variance-optimization-in-markov-decision-processes-1104.5601</loc><lastmod>2011-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-variance-optimization-in-markov-decision-processes-1104.5601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-variance-optimization-in-markov-decision-processes-1104.5601"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-learning-with-stochastic-focus-of-attention-1105.0382</loc><lastmod>2011-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-learning-with-stochastic-focus-of-attention-1105.0382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-learning-with-stochastic-focus-of-attention-1105.0382"/></url>
<url><loc>https://scifaro.com/en/abs/suboptimal-solution-path-algorithm-for-support-vector-machine-1105.0471</loc><lastmod>2011-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/suboptimal-solution-path-algorithm-for-support-vector-machine-1105.0471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/suboptimal-solution-path-algorithm-for-support-vector-machine-1105.0471"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-overfitting-and-small-sample-statistics-1105.0857</loc><lastmod>2011-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-overfitting-and-small-sample-statistics-1105.0857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-overfitting-and-small-sample-statistics-1105.0857"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-feature-learning-with-stacked-linear-denoisers-1105.0972</loc><lastmod>2012-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-feature-learning-with-stacked-linear-denoisers-1105.0972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-feature-learning-with-stacked-linear-denoisers-1105.0972"/></url>
<url><loc>https://scifaro.com/en/abs/adaptively-learning-the-crowd-kernel-1105.1033</loc><lastmod>2013-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptively-learning-the-crowd-kernel-1105.1033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptively-learning-the-crowd-kernel-1105.1033"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-graph-cuts-as-a-max-product-algorithm-1105.1178</loc><lastmod>2012-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-graph-cuts-as-a-max-product-algorithm-1105.1178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-graph-cuts-as-a-max-product-algorithm-1105.1178"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-boosting-algorithms-for-convex-optimization-1105.2054</loc><lastmod>2012-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-boosting-algorithms-for-convex-optimization-1105.2054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-boosting-algorithms-for-convex-optimization-1105.2054"/></url>
<url><loc>https://scifaro.com/en/abs/data-distributed-weighted-majority-and-online-mirror-descent-1105.2274</loc><lastmod>2019-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-distributed-weighted-majority-and-online-mirror-descent-1105.2274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-distributed-weighted-majority-and-online-mirror-descent-1105.2274"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-analysis-of-martingales-and-multiarmed-bandits-1105.2416</loc><lastmod>2011-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-analysis-of-martingales-and-multiarmed-bandits-1105.2416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-analysis-of-martingales-and-multiarmed-bandits-1105.2416"/></url>
<url><loc>https://scifaro.com/en/abs/a-maximal-large-deviation-inequality-for-sub-gaussian-variables-1105.2550</loc><lastmod>2011-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-maximal-large-deviation-inequality-for-sub-gaussian-variables-1105.2550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-maximal-large-deviation-inequality-for-sub-gaussian-variables-1105.2550"/></url>
<url><loc>https://scifaro.com/en/abs/semantic-vector-machines-1105.2868</loc><lastmod>2011-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantic-vector-machines-1105.2868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantic-vector-machines-1105.2868"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-for-mauc-oriented-classification-systems-1105.2943</loc><lastmod>2012-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-for-mauc-oriented-classification-systems-1105.2943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-for-mauc-oriented-classification-systems-1105.2943"/></url>
<url><loc>https://scifaro.com/en/abs/behavior-of-graph-laplacians-on-manifolds-with-boundary-1105.3931</loc><lastmod>2011-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/behavior-of-graph-laplacians-on-manifolds-with-boundary-1105.3931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/behavior-of-graph-laplacians-on-manifolds-with-boundary-1105.3931"/></url>
<url><loc>https://scifaro.com/en/abs/calibration-with-changing-checking-rules-and-its-application-to-short-term-trading-1105.4272</loc><lastmod>2011-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibration-with-changing-checking-rules-and-its-application-to-short-term-trading-1105.4272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibration-with-changing-checking-rules-and-its-application-to-short-term-trading-1105.4272"/></url>
<url><loc>https://scifaro.com/en/abs/b-bit-minwise-hashing-for-large-scale-linear-svm-1105.4385</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/b-bit-minwise-hashing-for-large-scale-linear-svm-1105.4385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/b-bit-minwise-hashing-for-large-scale-linear-svm-1105.4385"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-analysis-of-the-exploration-exploitation-trade-off-1105.4585</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-analysis-of-the-exploration-exploitation-trade-off-1105.4585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-analysis-of-the-exploration-exploitation-trade-off-1105.4585"/></url>
<url><loc>https://scifaro.com/en/abs/bounding-the-fat-shattering-dimension-of-a-composition-function-class-built-using-a-continuous-logic-connective-1105.4618</loc><lastmod>2011-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounding-the-fat-shattering-dimension-of-a-composition-function-class-built-using-a-continuous-logic-connective-1105.4618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounding-the-fat-shattering-dimension-of-a-composition-function-class-built-using-a-continuous-logic-connective-1105.4618"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-stability-and-stochastic-gradient-descent-1105.4701</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-stability-and-stochastic-gradient-descent-1105.4701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-stability-and-stochastic-gradient-descent-1105.4701"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-music-annotation-and-retrieval-learning-to-rank-in-joint-semantic-spaces-1105.5196</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-music-annotation-and-retrieval-learning-to-rank-in-joint-semantic-spaces-1105.5196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-music-annotation-and-retrieval-learning-to-rank-in-joint-semantic-spaces-1105.5196"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-coordinate-descent-for-l1-regularized-loss-minimization-1105.5379</loc><lastmod>2011-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-coordinate-descent-for-l1-regularized-loss-minimization-1105.5379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-coordinate-descent-for-l1-regularized-loss-minimization-1105.5379"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-order-things-1105.5464</loc><lastmod>2011-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-order-things-1105.5464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-order-things-1105.5464"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-belief-propagation-1105.5592</loc><lastmod>2011-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-belief-propagation-1105.5592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-belief-propagation-1105.5592"/></url>
<url><loc>https://scifaro.com/en/abs/a-philosophical-treatise-of-universal-induction-1105.5721</loc><lastmod>2015-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-philosophical-treatise-of-universal-induction-1105.5721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-philosophical-treatise-of-universal-induction-1105.5721"/></url>
<url><loc>https://scifaro.com/en/abs/the-perceptron-with-dynamic-margin-1105.6041</loc><lastmod>2011-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-perceptron-with-dynamic-margin-1105.6041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-perceptron-with-dynamic-margin-1105.6041"/></url>
<url><loc>https://scifaro.com/en/abs/evolutionary-algorithms-for-reinforcement-learning-1106.0221</loc><lastmod>2011-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolutionary-algorithms-for-reinforcement-learning-1106.0221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolutionary-algorithms-for-reinforcement-learning-1106.0221"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hierarchical-sparse-representations-using-iterative-dictionary-learning-and-dimension-reduction-1106.0357</loc><lastmod>2011-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hierarchical-sparse-representations-using-iterative-dictionary-learning-and-dimension-reduction-1106.0357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hierarchical-sparse-representations-using-iterative-dictionary-learning-and-dimension-reduction-1106.0357"/></url>
<url><loc>https://scifaro.com/en/abs/submodular-functions-are-noise-stable-1106.0518</loc><lastmod>2011-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/submodular-functions-are-noise-stable-1106.0518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/submodular-functions-are-noise-stable-1106.0518"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-dialogue-management-with-reinforcement-learning-experiments-with-the-njfun-system-1106.0676</loc><lastmod>2011-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-dialogue-management-with-reinforcement-learning-experiments-with-the-njfun-system-1106.0676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-dialogue-management-with-reinforcement-learning-experiments-with-the-njfun-system-1106.0676"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-reinforcement-learning-through-implicit-imitation-1106.0681</loc><lastmod>2011-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-reinforcement-learning-through-implicit-imitation-1106.0681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-reinforcement-learning-through-implicit-imitation-1106.0681"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-reinforcement-learning-using-recursive-least-squares-methods-1106.0707</loc><lastmod>2011-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-reinforcement-learning-using-recursive-least-squares-methods-1106.0707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-reinforcement-learning-using-recursive-least-squares-methods-1106.0707"/></url>
<url><loc>https://scifaro.com/en/abs/nearest-prime-simplicial-complex-for-object-recognition-1106.0987</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearest-prime-simplicial-complex-for-object-recognition-1106.0987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearest-prime-simplicial-complex-for-object-recognition-1106.0987"/></url>
<url><loc>https://scifaro.com/en/abs/complexity-analysis-of-vario-eta-through-structure-1106.1113</loc><lastmod>2011-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complexity-analysis-of-vario-eta-through-structure-1106.1113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complexity-analysis-of-vario-eta-through-structure-1106.1113"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-and-l1-approaches-to-sparse-unsupervised-learning-1106.1157</loc><lastmod>2012-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-and-l1-approaches-to-sparse-unsupervised-learning-1106.1157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-and-l1-approaches-to-sparse-unsupervised-learning-1106.1157"/></url>
<url><loc>https://scifaro.com/en/abs/using-more-data-to-speed-up-training-time-1106.1216</loc><lastmod>2011-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-more-data-to-speed-up-training-time-1106.1216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-more-data-to-speed-up-training-time-1106.1216"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-approximating-and-clustering-data-1106.1379</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-approximating-and-clustering-data-1106.1379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-approximating-and-clustering-data-1106.1379"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-convex-minimization-with-a-low-rank-constraint-1106.1622</loc><lastmod>2011-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-convex-minimization-with-a-low-rank-constraint-1106.1622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-convex-minimization-with-a-low-rank-constraint-1106.1622"/></url>
<url><loc>https://scifaro.com/en/abs/max-margin-stacking-and-sparse-regularization-for-linear-classifier-combination-and-selection-1106.1684</loc><lastmod>2011-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-margin-stacking-and-sparse-regularization-for-linear-classifier-combination-and-selection-1106.1684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-margin-stacking-and-sparse-regularization-for-linear-classifier-combination-and-selection-1106.1684"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-based-sensing-policy-optimization-for-energy-efficient-cognitive-radio-networks-1106.1770</loc><lastmod>2011-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-based-sensing-policy-optimization-for-energy-efficient-cognitive-radio-networks-1106.1770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-based-sensing-policy-optimization-for-energy-efficient-cognitive-radio-networks-1106.1770"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-dependence-graph-of-time-series-with-latent-factors-1106.1887</loc><lastmod>2012-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-dependence-graph-of-time-series-with-latent-factors-1106.1887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-dependence-graph-of-time-series-with-latent-factors-1106.1887"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-with-multi-layer-graphs-a-spectral-perspective-1106.2233</loc><lastmod>2015-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-with-multi-layer-graphs-a-spectral-perspective-1106.2233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-with-multi-layer-graphs-a-spectral-perspective-1106.2233"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-optimal-learning-for-contextual-bandits-1106.2369</loc><lastmod>2011-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-optimal-learning-for-contextual-bandits-1106.2369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-optimal-learning-for-contextual-bandits-1106.2369"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-transductive-online-learning-via-randomized-rounding-1106.2429</loc><lastmod>2013-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-transductive-online-learning-via-randomized-rounding-1106.2429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-transductive-online-learning-via-randomized-rounding-1106.2429"/></url>
<url><loc>https://scifaro.com/en/abs/from-bandits-to-experts-on-the-value-of-side-observations-1106.2436</loc><lastmod>2011-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-bandits-to-experts-on-the-value-of-side-observations-1106.2436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-bandits-to-experts-on-the-value-of-side-observations-1106.2436"/></url>
<url><loc>https://scifaro.com/en/abs/learning-equilibria-with-partial-information-in-decentralized-wireless-networks-1106.2662</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-equilibria-with-partial-information-in-decentralized-wireless-networks-1106.2662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-equilibria-with-partial-information-in-decentralized-wireless-networks-1106.2662"/></url>
<url><loc>https://scifaro.com/en/abs/on-epsilon-optimality-of-the-pursuit-learning-algorithm-1106.3355</loc><lastmod>2012-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-epsilon-optimality-of-the-pursuit-learning-algorithm-1106.3355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-epsilon-optimality-of-the-pursuit-learning-algorithm-1106.3355"/></url>
<url><loc>https://scifaro.com/en/abs/decoding-finger-movements-from-ecog-signals-using-switching-linear-models-1106.3395</loc><lastmod>2011-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoding-finger-movements-from-ecog-signals-using-switching-linear-models-1106.3395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoding-finger-movements-from-ecog-signals-using-switching-linear-models-1106.3395"/></url>
<url><loc>https://scifaro.com/en/abs/large-margin-filtering-for-signal-sequence-labeling-1106.3396</loc><lastmod>2011-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-margin-filtering-for-signal-sequence-labeling-1106.3396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-margin-filtering-for-signal-sequence-labeling-1106.3396"/></url>
<url><loc>https://scifaro.com/en/abs/handling-uncertainties-in-svm-classification-1106.3397</loc><lastmod>2011-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/handling-uncertainties-in-svm-classification-1106.3397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/handling-uncertainties-in-svm-classification-1106.3397"/></url>
<url><loc>https://scifaro.com/en/abs/robust-bayesian-reinforcement-learning-through-tight-lower-bounds-1106.3651</loc><lastmod>2011-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-bayesian-reinforcement-learning-through-tight-lower-bounds-1106.3651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-bayesian-reinforcement-learning-through-tight-lower-bounds-1106.3651"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-programming-language-identification-1106.4064</loc><lastmod>2011-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-programming-language-identification-1106.4064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-programming-language-identification-1106.4064"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-the-weighted-trace-norm-under-arbitrary-sampling-distributions-1106.4251</loc><lastmod>2011-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-the-weighted-trace-norm-under-arbitrary-sampling-distributions-1106.4251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-the-weighted-trace-norm-under-arbitrary-sampling-distributions-1106.4251"/></url>
<url><loc>https://scifaro.com/en/abs/better-mini-batch-algorithms-via-accelerated-gradient-methods-1106.4574</loc><lastmod>2011-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-mini-batch-algorithms-via-accelerated-gradient-methods-1106.4574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-mini-batch-algorithms-via-accelerated-gradient-methods-1106.4574"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-for-structured-sparsity-via-proximal-optimization-1106.5236</loc><lastmod>2011-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-for-structured-sparsity-via-proximal-optimization-1106.5236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-for-structured-sparsity-via-proximal-optimization-1106.5236"/></url>
<url><loc>https://scifaro.com/en/abs/potential-based-shaping-and-q-value-initialization-are-equivalent-1106.5267</loc><lastmod>2011-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/potential-based-shaping-and-q-value-initialization-are-equivalent-1106.5267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/potential-based-shaping-and-q-value-initialization-are-equivalent-1106.5267"/></url>
<url><loc>https://scifaro.com/en/abs/a-dirty-model-for-multiple-sparse-regression-1106.5826</loc><lastmod>2012-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dirty-model-for-multiple-sparse-regression-1106.5826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dirty-model-for-multiple-sparse-regression-1106.5826"/></url>
<url><loc>https://scifaro.com/en/abs/ibsead-a-self-evolving-self-obsessed-learning-algorithm-for-machine-learning-1106.6186</loc><lastmod>2011-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ibsead-a-self-evolving-self-obsessed-learning-algorithm-for-machine-learning-1106.6186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ibsead-a-self-evolving-self-obsessed-learning-algorithm-for-machine-learning-1106.6186"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-improved-loss-bounds-for-multiple-kernel-learning-1106.6258</loc><lastmod>2014-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-improved-loss-bounds-for-multiple-kernel-learning-1106.6258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-improved-loss-bounds-for-multiple-kernel-learning-1106.6258"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-matrix-completion-and-robust-factorization-1107.0789</loc><lastmod>2013-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-matrix-completion-and-robust-factorization-1107.0789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-matrix-completion-and-robust-factorization-1107.0789"/></url>
<url><loc>https://scifaro.com/en/abs/graphlab-a-distributed-framework-for-machine-learning-in-the-cloud-1107.0922</loc><lastmod>2011-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphlab-a-distributed-framework-for-machine-learning-in-the-cloud-1107.0922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphlab-a-distributed-framework-for-machine-learning-in-the-cloud-1107.0922"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-gaussian-graphical-model-selection-walk-summability-and-local-separation-criterion-1107.1270</loc><lastmod>2012-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-gaussian-graphical-model-selection-walk-summability-and-local-separation-criterion-1107.1270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-gaussian-graphical-model-selection-walk-summability-and-local-separation-criterion-1107.1270"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-methods-for-learning-multivariate-latent-tree-structure-1107.1283</loc><lastmod>2011-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-methods-for-learning-multivariate-latent-tree-structure-1107.1283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-methods-for-learning-multivariate-latent-tree-structure-1107.1283"/></url>
<url><loc>https://scifaro.com/en/abs/polyceptron-a-polyhedral-learning-algorithm-1107.1564</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polyceptron-a-polyhedral-learning-algorithm-1107.1564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polyceptron-a-polyhedral-learning-algorithm-1107.1564"/></url>
<url><loc>https://scifaro.com/en/abs/multi-instance-learning-with-any-hypothesis-class-1107.2021</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-instance-learning-with-any-hypothesis-class-1107.2021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-instance-learning-with-any-hypothesis-class-1107.2021"/></url>
<url><loc>https://scifaro.com/en/abs/data-stability-in-clustering-a-closer-look-1107.2379</loc><lastmod>2014-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-stability-in-clustering-a-closer-look-1107.2379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-stability-in-clustering-a-closer-look-1107.2379"/></url>
<url><loc>https://scifaro.com/en/abs/towards-optimal-one-pass-large-scale-learning-with-averaged-stochastic-gradient-descent-1107.2490</loc><lastmod>2011-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-optimal-one-pass-large-scale-learning-with-averaged-stochastic-gradient-descent-1107.2490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-optimal-one-pass-large-scale-learning-with-averaged-stochastic-gradient-descent-1107.2490"/></url>
<url><loc>https://scifaro.com/en/abs/from-small-world-networks-to-comparison-based-search-1107.3059</loc><lastmod>2014-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-small-world-networks-to-comparison-based-search-1107.3059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-small-world-networks-to-comparison-based-search-1107.3059"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-discrete-graphical-models-using-greedy-methods-1107.3258</loc><lastmod>2012-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-discrete-graphical-models-using-greedy-methods-1107.3258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-discrete-graphical-models-using-greedy-methods-1107.3258"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-knowledge-using-a-constraint-based-language-1107.3407</loc><lastmod>2011-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-knowledge-using-a-constraint-based-language-1107.3407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-knowledge-using-a-constraint-based-language-1107.3407"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-learning-of-foreground-background-segmentation-using-masked-rbms-1107.3823</loc><lastmod>2011-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-learning-of-foreground-background-segmentation-using-masked-rbms-1107.3823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-learning-of-foreground-background-segmentation-using-masked-rbms-1107.3823"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-universality-of-online-mirror-descent-1107.4080</loc><lastmod>2011-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-universality-of-online-mirror-descent-1107.4080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-universality-of-online-mirror-descent-1107.4080"/></url>
<url><loc>https://scifaro.com/en/abs/the-divergence-of-reinforcement-learning-algorithms-with-value-iteration-and-function-approximation-1107.4606</loc><lastmod>2012-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-divergence-of-reinforcement-learning-algorithms-with-value-iteration-and-function-approximation-1107.4606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-divergence-of-reinforcement-learning-algorithms-with-value-iteration-and-function-approximation-1107.4606"/></url>
<url><loc>https://scifaro.com/en/abs/submodular-optimization-for-efficient-semi-supervised-support-vector-machines-1107.5236</loc><lastmod>2011-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/submodular-optimization-for-efficient-semi-supervised-support-vector-machines-1107.5236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/submodular-optimization-for-efficient-semi-supervised-support-vector-machines-1107.5236"/></url>
<url><loc>https://scifaro.com/en/abs/axioms-for-rational-reinforcement-learning-1107.5520</loc><lastmod>2012-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/axioms-for-rational-reinforcement-learning-1107.5520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/axioms-for-rational-reinforcement-learning-1107.5520"/></url>
<url><loc>https://scifaro.com/en/abs/universal-prediction-of-selected-bits-1107.5531</loc><lastmod>2012-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-prediction-of-selected-bits-1107.5531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-prediction-of-selected-bits-1107.5531"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-network-reconstruction-using-asp-1107.5671</loc><lastmod>2011-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-network-reconstruction-using-asp-1107.5671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-network-reconstruction-using-asp-1107.5671"/></url>
<url><loc>https://scifaro.com/en/abs/generating-a-diverse-set-of-high-quality-clusterings-1108.0017</loc><lastmod>2011-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-a-diverse-set-of-high-quality-clusterings-1108.0017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-a-diverse-set-of-high-quality-clusterings-1108.0017"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-with-sparsity-inducing-penalties-1108.0775</loc><lastmod>2011-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-with-sparsity-inducing-penalties-1108.0775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-with-sparsity-inducing-penalties-1108.0775"/></url>
<url><loc>https://scifaro.com/en/abs/uncertain-nearest-neighbor-classification-1108.2054</loc><lastmod>2011-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertain-nearest-neighbor-classification-1108.2054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertain-nearest-neighbor-classification-1108.2054"/></url>
<url><loc>https://scifaro.com/en/abs/feature-extraction-for-change-point-detection-using-stationary-subspace-analysis-1108.2486</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-extraction-for-change-point-detection-using-stationary-subspace-analysis-1108.2486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-extraction-for-change-point-detection-using-stationary-subspace-analysis-1108.2486"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-multicore-collaborative-filtering-1108.2580</loc><lastmod>2011-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-multicore-collaborative-filtering-1108.2580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-multicore-collaborative-filtering-1108.2580"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-risk-modeling-method-for-robust-learning-on-scarce-data-1108.2820</loc><lastmod>2012-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-risk-modeling-method-for-robust-learning-on-scarce-data-1108.2820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-risk-modeling-method-for-robust-learning-on-scarce-data-1108.2820"/></url>
<url><loc>https://scifaro.com/en/abs/training-logistic-regression-and-svm-on-200gb-data-using-b-bit-minwise-hashing-and-comparisons-with-vowpal-wabbit-vw-1108.3072</loc><lastmod>2011-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-logistic-regression-and-svm-on-200gb-data-using-b-bit-minwise-hashing-and-comparisons-with-vowpal-wabbit-vw-1108.3072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-logistic-regression-and-svm-on-200gb-data-using-b-bit-minwise-hashing-and-comparisons-with-vowpal-wabbit-vw-1108.3072"/></url>
<url><loc>https://scifaro.com/en/abs/stability-conditions-for-online-learnability-1108.3154</loc><lastmod>2011-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-conditions-for-online-learnability-1108.3154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-conditions-for-online-learnability-1108.3154"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-perspective-on-predictive-coding-with-paq-1108.3298</loc><lastmod>2011-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-perspective-on-predictive-coding-with-paq-1108.3298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-perspective-on-predictive-coding-with-paq-1108.3298"/></url>
<url><loc>https://scifaro.com/en/abs/premise-selection-for-mathematics-by-corpus-analysis-and-kernel-methods-1108.3446</loc><lastmod>2014-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/premise-selection-for-mathematics-by-corpus-analysis-and-kernel-methods-1108.3446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/premise-selection-for-mathematics-by-corpus-analysis-and-kernel-methods-1108.3446"/></url>
<url><loc>https://scifaro.com/en/abs/structured-sparsity-and-generalization-1108.3476</loc><lastmod>2012-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-sparsity-and-generalization-1108.3476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-sparsity-and-generalization-1108.3476"/></url>
<url><loc>https://scifaro.com/en/abs/the-fuzzy-gene-filter-a-classifier-performance-assesment-1108.4545</loc><lastmod>2011-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-fuzzy-gene-filter-a-classifier-performance-assesment-1108.4545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-fuzzy-gene-filter-a-classifier-performance-assesment-1108.4545"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-performance-of-the-ripper-in-insurance-risk-classification-a-comparitive-study-using-feature-selection-1108.4551</loc><lastmod>2011-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-performance-of-the-ripper-in-insurance-risk-classification-a-comparitive-study-using-feature-selection-1108.4551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-performance-of-the-ripper-in-insurance-risk-classification-a-comparitive-study-using-feature-selection-1108.4551"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-algorithms-for-ridge-and-lasso-regression-with-partially-observed-attributes-1108.4559</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-algorithms-for-ridge-and-lasso-regression-with-partially-observed-attributes-1108.4559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-algorithms-for-ridge-and-lasso-regression-with-partially-observed-attributes-1108.4559"/></url>
<url><loc>https://scifaro.com/en/abs/non-trivial-two-armed-partial-monitoring-games-are-bandits-1108.4961</loc><lastmod>2011-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-trivial-two-armed-partial-monitoring-games-are-bandits-1108.4961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-trivial-two-armed-partial-monitoring-games-are-bandits-1108.4961"/></url>
<url><loc>https://scifaro.com/en/abs/strategic-learning-and-robust-protocol-design-for-online-communities-with-selfish-users-1108.5514</loc><lastmod>2011-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strategic-learning-and-robust-protocol-design-for-online-communities-with-selfish-users-1108.5514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strategic-learning-and-robust-protocol-design-for-online-communities-with-selfish-users-1108.5514"/></url>
<url><loc>https://scifaro.com/en/abs/no-internal-regret-via-neighborhood-watch-1108.6088</loc><lastmod>2011-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-internal-regret-via-neighborhood-watch-1108.6088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-internal-regret-via-neighborhood-watch-1108.6088"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-tucker-decomposition-nonparametric-bayesian-models-for-multiway-data-analysis-1108.6296</loc><lastmod>2012-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-tucker-decomposition-nonparametric-bayesian-models-for-multiway-data-analysis-1108.6296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-tucker-decomposition-nonparametric-bayesian-models-for-multiway-data-analysis-1108.6296"/></url>
<url><loc>https://scifaro.com/en/abs/local-component-analysis-1109.0093</loc><lastmod>2012-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-component-analysis-1109.0093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-component-analysis-1109.0093"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-online-learning-1109.0105</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-online-learning-1109.0105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-online-learning-1109.0105"/></url>
<url><loc>https://scifaro.com/en/abs/shareboost-efficient-multiclass-learning-with-feature-sharing-1109.0820</loc><lastmod>2011-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shareboost-efficient-multiclass-learning-with-feature-sharing-1109.0820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shareboost-efficient-multiclass-learning-with-feature-sharing-1109.0820"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-channel-estimation-for-ofdm-system-by-complex-ls-svm-under-high-mobility-conditions-1109.0895</loc><lastmod>2014-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-channel-estimation-for-ofdm-system-by-complex-ls-svm-under-high-mobility-conditions-1109.0895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-channel-estimation-for-ofdm-system-by-complex-ls-svm-under-high-mobility-conditions-1109.0895"/></url>
<url><loc>https://scifaro.com/en/abs/gossip-learning-with-linear-models-on-fully-distributed-data-1109.1396</loc><lastmod>2012-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gossip-learning-with-linear-models-on-fully-distributed-data-1109.1396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gossip-learning-with-linear-models-on-fully-distributed-data-1109.1396"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-online-learning-for-opportunistic-spectrum-access-1109.1552</loc><lastmod>2011-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-online-learning-for-opportunistic-spectrum-access-1109.1552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-online-learning-for-opportunistic-spectrum-access-1109.1552"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-for-combinatorial-network-optimization-with-restless-markovian-rewards-1109.1606</loc><lastmod>2011-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-for-combinatorial-network-optimization-with-restless-markovian-rewards-1109.1606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-for-combinatorial-network-optimization-with-restless-markovian-rewards-1109.1606"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-sequences-detection-from-logs-based-on-compression-1109.1729</loc><lastmod>2011-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-sequences-detection-from-logs-based-on-compression-1109.1729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-sequences-detection-from-logs-based-on-compression-1109.1729"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-clustering-1109.1844</loc><lastmod>2016-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-clustering-1109.1844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-clustering-1109.1844"/></url>
<url><loc>https://scifaro.com/en/abs/trace-lasso-a-trace-norm-regularization-for-correlated-designs-1109.1990</loc><lastmod>2011-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trace-lasso-a-trace-norm-regularization-for-correlated-designs-1109.1990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trace-lasso-a-trace-norm-regularization-for-correlated-designs-1109.1990"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-labeled-and-unlabeled-data-an-empirical-study-across-techniques-and-domains-1109.2047</loc><lastmod>2011-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-labeled-and-unlabeled-data-an-empirical-study-across-techniques-and-domains-1109.2047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-labeled-and-unlabeled-data-an-empirical-study-across-techniques-and-domains-1109.2047"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-algorithms-for-stochastic-water-filling-1109.2088</loc><lastmod>2011-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-algorithms-for-stochastic-water-filling-1109.2088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-algorithms-for-stochastic-water-filling-1109.2088"/></url>
<url><loc>https://scifaro.com/en/abs/efficiency-versus-convergence-of-boolean-kernels-for-on-line-learning-algorithms-1109.2141</loc><lastmod>2011-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiency-versus-convergence-of-boolean-kernels-for-on-line-learning-algorithms-1109.2141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiency-versus-convergence-of-boolean-kernels-for-on-line-learning-algorithms-1109.2141"/></url>
<url><loc>https://scifaro.com/en/abs/risk-sensitive-reinforcement-learning-applied-to-control-under-constraints-1109.2147</loc><lastmod>2011-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-sensitive-reinforcement-learning-applied-to-control-under-constraints-1109.2147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-sensitive-reinforcement-learning-applied-to-control-under-constraints-1109.2147"/></url>
<url><loc>https://scifaro.com/en/abs/bandits-with-an-edge-1109.2296</loc><lastmod>2011-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandits-with-an-edge-1109.2296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandits-with-an-edge-1109.2296"/></url>
<url><loc>https://scifaro.com/en/abs/mis-boost-multiple-instance-selection-boosting-1109.2388</loc><lastmod>2011-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mis-boost-multiple-instance-selection-boosting-1109.2388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mis-boost-multiple-instance-selection-boosting-1109.2388"/></url>
<url><loc>https://scifaro.com/en/abs/structured-sparsity-through-convex-optimization-1109.2397</loc><lastmod>2012-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-sparsity-through-convex-optimization-1109.2397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-sparsity-through-convex-optimization-1109.2397"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rates-of-inexact-proximal-gradient-methods-for-convex-optimization-1109.2415</loc><lastmod>2011-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rates-of-inexact-proximal-gradient-methods-for-convex-optimization-1109.2415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rates-of-inexact-proximal-gradient-methods-for-convex-optimization-1109.2415"/></url>
<url><loc>https://scifaro.com/en/abs/reconstruction-of-sequential-data-with-density-models-1109.3248</loc><lastmod>2011-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconstruction-of-sequential-data-with-density-models-1109.3248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconstruction-of-sequential-data-with-density-models-1109.3248"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-user-profiling-via-spectral-methods-1109.3318</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-user-profiling-via-spectral-methods-1109.3318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-user-profiling-via-spectral-methods-1109.3318"/></url>
<url><loc>https://scifaro.com/en/abs/learning-topic-models-by-belief-propagation-1109.3437</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-topic-models-by-belief-propagation-1109.3437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-topic-models-by-belief-propagation-1109.3437"/></url>
<url><loc>https://scifaro.com/en/abs/active-ranking-using-pairwise-comparisons-1109.3701</loc><lastmod>2011-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-ranking-using-pairwise-comparisons-1109.3701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-ranking-using-pairwise-comparisons-1109.3701"/></url>
<url><loc>https://scifaro.com/en/abs/learning-discriminative-metrics-via-generative-models-and-kernel-learning-1109.3940</loc><lastmod>2011-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-discriminative-metrics-via-generative-models-and-kernel-learning-1109.3940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-discriminative-metrics-via-generative-models-and-kernel-learning-1109.3940"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-distances-between-terms-for-flat-and-hierarchical-data-1109.5078</loc><lastmod>2011-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-distances-between-terms-for-flat-and-hierarchical-data-1109.5078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-distances-between-terms-for-flat-and-hierarchical-data-1109.5078"/></url>
<url><loc>https://scifaro.com/en/abs/noise-tolerance-under-risk-minimization-1109.5231</loc><lastmod>2013-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-tolerance-under-risk-minimization-1109.5231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-tolerance-under-risk-minimization-1109.5231"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-codeword-optimization-simco-for-dictionary-update-and-learning-1109.5302</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-codeword-optimization-simco-for-dictionary-update-and-learning-1109.5302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-codeword-optimization-simco-for-dictionary-update-and-learning-1109.5302"/></url>
<url><loc>https://scifaro.com/en/abs/bias-plus-variance-decomposition-for-survival-analysis-problems-1109.5311</loc><lastmod>2011-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-plus-variance-decomposition-for-survival-analysis-problems-1109.5311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-plus-variance-decomposition-for-survival-analysis-problems-1109.5311"/></url>
<url><loc>https://scifaro.com/en/abs/making-gradient-descent-optimal-for-strongly-convex-stochastic-optimization-1109.5647</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-gradient-descent-optimal-for-strongly-convex-stochastic-optimization-1109.5647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-gradient-descent-optimal-for-strongly-convex-stochastic-optimization-1109.5647"/></url>
<url><loc>https://scifaro.com/en/abs/deterministic-feature-selection-for-k-means-clustering-1109.5664</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deterministic-feature-selection-for-k-means-clustering-1109.5664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deterministic-feature-selection-for-k-means-clustering-1109.5664"/></url>
<url><loc>https://scifaro.com/en/abs/learning-item-trees-for-probabilistic-modelling-of-implicit-feedback-1109.5894</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-item-trees-for-probabilistic-modelling-of-implicit-feedback-1109.5894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-item-trees-for-probabilistic-modelling-of-implicit-feedback-1109.5894"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-for-statistical-classifiers-1109.6341</loc><lastmod>2011-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-for-statistical-classifiers-1109.6341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-for-statistical-classifiers-1109.6341"/></url>
<url><loc>https://scifaro.com/en/abs/learning-image-transformations-without-training-examples-1110.0061</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-image-transformations-without-training-examples-1110.0061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-image-transformations-without-training-examples-1110.0061"/></url>
<url><loc>https://scifaro.com/en/abs/eclectic-extraction-of-propositional-rules-from-neural-networks-1110.0214</loc><lastmod>2011-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eclectic-extraction-of-propositional-rules-from-neural-networks-1110.0214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eclectic-extraction-of-propositional-rules-from-neural-networks-1110.0214"/></url>
<url><loc>https://scifaro.com/en/abs/two-projection-pursuit-algorithms-for-machine-learning-under-non-stationarity-1110.0593</loc><lastmod>2011-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-projection-pursuit-algorithms-for-machine-learning-under-non-stationarity-1110.0593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-projection-pursuit-algorithms-for-machine-learning-under-non-stationarity-1110.0593"/></url>
<url><loc>https://scifaro.com/en/abs/dictionary-learning-for-deblurring-and-digital-zoom-1110.0957</loc><lastmod>2011-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dictionary-learning-for-deblurring-and-digital-zoom-1110.0957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dictionary-learning-for-deblurring-and-digital-zoom-1110.0957"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-with-multiple-views-1110.1073</loc><lastmod>2011-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-with-multiple-views-1110.1073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-with-multiple-views-1110.1073"/></url>
<url><loc>https://scifaro.com/en/abs/the-augmented-complex-kernel-lms-1110.1075</loc><lastmod>2015-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-augmented-complex-kernel-lms-1110.1075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-augmented-complex-kernel-lms-1110.1075"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-unsupervised-adaptive-crowdsourcing-1110.1781</loc><lastmod>2011-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-unsupervised-adaptive-crowdsourcing-1110.1781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-unsupervised-adaptive-crowdsourcing-1110.1781"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-matrix-factorization-a-state-space-approach-1110.2098</loc><lastmod>2012-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-matrix-factorization-a-state-space-approach-1110.2098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-matrix-factorization-a-state-space-approach-1110.2098"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-using-smooth-relative-regret-approximations-with-applications-1110.2136</loc><lastmod>2012-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-using-smooth-relative-regret-approximations-with-applications-1110.2136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-using-smooth-relative-regret-approximations-with-applications-1110.2136"/></url>
<url><loc>https://scifaro.com/en/abs/learning-symbolic-models-of-stochastic-domains-1110.2211</loc><lastmod>2011-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-symbolic-models-of-stochastic-domains-1110.2211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-symbolic-models-of-stochastic-domains-1110.2211"/></url>
<url><loc>https://scifaro.com/en/abs/a-variant-of-azuma-s-inequality-for-martingales-with-subgaussian-tails-1110.2392</loc><lastmod>2011-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variant-of-azuma-s-inequality-for-martingales-with-subgaussian-tails-1110.2392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variant-of-azuma-s-inequality-for-martingales-with-subgaussian-tails-1110.2392"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-learning-of-short-and-high-dimensional-temporal-sequences-for-life-science-measurements-1110.2416</loc><lastmod>2011-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-learning-of-short-and-high-dimensional-temporal-sequences-for-life-science-measurements-1110.2416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-learning-of-short-and-high-dimensional-temporal-sequences-for-life-science-measurements-1110.2416"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-heart-diseases-dataset-using-neural-network-approach-1110.2626</loc><lastmod>2011-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-heart-diseases-dataset-using-neural-network-approach-1110.2626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-heart-diseases-dataset-using-neural-network-approach-1110.2626"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-tracking-of-large-classes-of-experts-1110.2755</loc><lastmod>2012-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-tracking-of-large-classes-of-experts-1110.2755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-tracking-of-large-classes-of-experts-1110.2755"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-image-representation-with-epitomes-1110.2855</loc><lastmod>2011-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-image-representation-with-epitomes-1110.2855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-image-representation-with-epitomes-1110.2855"/></url>
<url><loc>https://scifaro.com/en/abs/improving-parameter-learning-of-bayesian-nets-from-incomplete-data-1110.3239</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-parameter-learning-of-bayesian-nets-from-incomplete-data-1110.3239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-parameter-learning-of-bayesian-nets-from-incomplete-data-1110.3239"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-batch-bayesian-optimization-1110.3347</loc><lastmod>2011-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-batch-bayesian-optimization-1110.3347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-batch-bayesian-optimization-1110.3347"/></url>
<url><loc>https://scifaro.com/en/abs/budget-optimal-task-allocation-for-reliable-crowdsourcing-systems-1110.3564</loc><lastmod>2013-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/budget-optimal-task-allocation-for-reliable-crowdsourcing-systems-1110.3564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/budget-optimal-task-allocation-for-reliable-crowdsourcing-systems-1110.3564"/></url>
<url><loc>https://scifaro.com/en/abs/a-critical-evaluation-of-network-and-pathway-based-classifiers-for-outcome-prediction-in-breast-cancer-1110.3717</loc><lastmod>2013-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-critical-evaluation-of-network-and-pathway-based-classifiers-for-outcome-prediction-in-breast-cancer-1110.3717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-critical-evaluation-of-network-and-pathway-based-classifiers-for-outcome-prediction-in-breast-cancer-1110.3717"/></url>
<url><loc>https://scifaro.com/en/abs/multi-criteria-anomaly-detection-using-pareto-depth-analysis-1110.3741</loc><lastmod>2013-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-criteria-anomaly-detection-using-pareto-depth-analysis-1110.3741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-criteria-anomaly-detection-using-pareto-depth-analysis-1110.3741"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-evaluate-dimensionality-reduction-improving-the-co-ranking-matrix-1110.3917</loc><lastmod>2011-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-evaluate-dimensionality-reduction-improving-the-co-ranking-matrix-1110.3917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-evaluate-dimensionality-reduction-improving-the-co-ranking-matrix-1110.3917"/></url>
<url><loc>https://scifaro.com/en/abs/injecting-external-solutions-into-cma-es-1110.4181</loc><lastmod>2011-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/injecting-external-solutions-into-cma-es-1110.4181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/injecting-external-solutions-into-cma-es-1110.4181"/></url>
<url><loc>https://scifaro.com/en/abs/a-reliable-effective-terascale-linear-learning-system-1110.4198</loc><lastmod>2013-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reliable-effective-terascale-linear-learning-system-1110.4198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reliable-effective-terascale-linear-learning-system-1110.4198"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimal-algorithm-for-linear-bandits-1110.4322</loc><lastmod>2012-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimal-algorithm-for-linear-bandits-1110.4322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimal-algorithm-for-linear-bandits-1110.4322"/></url>
<url><loc>https://scifaro.com/en/abs/data-dependent-kernels-in-nearly-linear-time-1110.4416</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-dependent-kernels-in-nearly-linear-time-1110.4416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-dependent-kernels-in-nearly-linear-time-1110.4416"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hierarchical-and-topographic-dictionaries-with-structured-sparsity-1110.4481</loc><lastmod>2011-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hierarchical-and-topographic-dictionaries-with-structured-sparsity-1110.4481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hierarchical-and-topographic-dictionaries-with-structured-sparsity-1110.4481"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-topic-models-1110.4713</loc><lastmod>2011-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-topic-models-1110.4713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-topic-models-1110.4713"/></url>
<url><loc>https://scifaro.com/en/abs/wikipedia-edit-number-prediction-based-on-temporal-dynamics-only-1110.5051</loc><lastmod>2011-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wikipedia-edit-number-prediction-based-on-temporal-dynamics-only-1110.5051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wikipedia-edit-number-prediction-based-on-temporal-dynamics-only-1110.5051"/></url>
<url><loc>https://scifaro.com/en/abs/deciding-of-hmm-parameters-based-on-number-of-critical-points-for-gesture-recognition-from-motion-capture-data-1110.6287</loc><lastmod>2011-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deciding-of-hmm-parameters-based-on-number-of-critical-points-for-gesture-recognition-from-motion-capture-data-1110.6287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deciding-of-hmm-parameters-based-on-number-of-critical-points-for-gesture-recognition-from-motion-capture-data-1110.6287"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayes-bernstein-inequality-for-martingales-and-its-application-to-multiarmed-bandits-1110.6755</loc><lastmod>2012-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayes-bernstein-inequality-for-martingales-and-its-application-to-multiarmed-bandits-1110.6755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayes-bernstein-inequality-for-martingales-and-its-application-to-multiarmed-bandits-1110.6755"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-inequalities-for-martingales-1110.6886</loc><lastmod>2012-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-inequalities-for-martingales-1110.6886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-inequalities-for-martingales-1110.6886"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-k-means-new-algorithms-via-bayesian-nonparametrics-1111.0352</loc><lastmod>2012-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-k-means-new-algorithms-via-bayesian-nonparametrics-1111.0352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-k-means-new-algorithms-via-bayesian-nonparametrics-1111.0352"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-stochastic-subgradient-estimation-training-for-support-vector-machines-1111.0432</loc><lastmod>2011-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-stochastic-subgradient-estimation-training-for-support-vector-machines-1111.0432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-stochastic-subgradient-estimation-training-for-support-vector-machines-1111.0432"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-preference-feedback-1111.0712</loc><lastmod>2011-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-preference-feedback-1111.0712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-preference-feedback-1111.0712"/></url>
<url><loc>https://scifaro.com/en/abs/tight-bounds-on-proper-equivalence-query-learning-of-dnf-1111.1124</loc><lastmod>2011-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-bounds-on-proper-equivalence-query-learning-of-dnf-1111.1124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-bounds-on-proper-equivalence-query-learning-of-dnf-1111.1124"/></url>
<url><loc>https://scifaro.com/en/abs/universal-mmse-filtering-with-logarithmic-adaptive-regret-1111.1136</loc><lastmod>2011-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-mmse-filtering-with-logarithmic-adaptive-regret-1111.1136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-mmse-filtering-with-logarithmic-adaptive-regret-1111.1136"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-bayesian-estimation-of-periodic-functions-1111.1315</loc><lastmod>2012-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-bayesian-estimation-of-periodic-functions-1111.1315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-bayesian-estimation-of-periodic-functions-1111.1315"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-estimation-in-structured-prediction-1111.1386</loc><lastmod>2011-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-estimation-in-structured-prediction-1111.1386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-estimation-in-structured-prediction-1111.1386"/></url>
<url><loc>https://scifaro.com/en/abs/robust-interactive-learning-1111.1422</loc><lastmod>2011-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-interactive-learning-1111.1422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-interactive-learning-1111.1422"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-thompson-sampling-for-the-multi-armed-bandit-problem-1111.1797</loc><lastmod>2012-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-thompson-sampling-for-the-multi-armed-bandit-problem-1111.1797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-thompson-sampling-for-the-multi-armed-bandit-problem-1111.1797"/></url>
<url><loc>https://scifaro.com/en/abs/improved-bound-for-the-nystrom-s-method-and-its-application-to-kernel-classification-1111.2262</loc><lastmod>2015-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-bound-for-the-nystrom-s-method-and-its-application-to-kernel-classification-1111.2262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-bound-for-the-nystrom-s-method-and-its-application-to-kernel-classification-1111.2262"/></url>
<url><loc>https://scifaro.com/en/abs/a-collaborative-mechanism-for-crowdsourcing-prediction-problems-1111.2664</loc><lastmod>2011-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-collaborative-mechanism-for-crowdsourcing-prediction-problems-1111.2664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-collaborative-mechanism-for-crowdsourcing-prediction-problems-1111.2664"/></url>
<url><loc>https://scifaro.com/en/abs/using-contextual-information-as-virtual-items-on-top-n-recommender-systems-1111.2948</loc><lastmod>2011-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-contextual-information-as-virtual-items-on-top-n-recommender-systems-1111.2948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-contextual-information-as-virtual-items-on-top-n-recommender-systems-1111.2948"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-model-for-plan-recognition-in-rts-games-applied-to-starcraft-1111.3735</loc><lastmod>2011-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-model-for-plan-recognition-in-rts-games-applied-to-starcraft-1111.3735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-model-for-plan-recognition-in-rts-games-applied-to-starcraft-1111.3735"/></url>
<url><loc>https://scifaro.com/en/abs/no-free-lunch-versus-occam-s-razor-in-supervised-learning-1111.3846</loc><lastmod>2011-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-free-lunch-versus-occam-s-razor-in-supervised-learning-1111.3846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-free-lunch-versus-occam-s-razor-in-supervised-learning-1111.3846"/></url>
<url><loc>https://scifaro.com/en/abs/parametrized-stochastic-multi-armed-bandits-with-binary-rewards-1111.4460</loc><lastmod>2011-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametrized-stochastic-multi-armed-bandits-with-binary-rewards-1111.4460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametrized-stochastic-multi-armed-bandits-with-binary-rewards-1111.4460"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-regression-in-metric-spaces-via-approximate-lipschitz-extension-1111.4470</loc><lastmod>2017-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-regression-in-metric-spaces-via-approximate-lipschitz-extension-1111.4470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-regression-in-metric-spaces-via-approximate-lipschitz-extension-1111.4470"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-spectral-clustering-using-approximate-commute-time-embedding-1111.4541</loc><lastmod>2013-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-spectral-clustering-using-approximate-commute-time-embedding-1111.4541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-spectral-clustering-using-approximate-commute-time-embedding-1111.4541"/></url>
<url><loc>https://scifaro.com/en/abs/trading-regret-for-efficiency-online-convex-optimization-with-long-term-constraints-1111.6082</loc><lastmod>2012-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trading-regret-for-efficiency-online-convex-optimization-with-long-term-constraints-1111.6082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trading-regret-for-efficiency-online-convex-optimization-with-long-term-constraints-1111.6082"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-factor-model-via-regularized-pca-1111.6201</loc><lastmod>2013-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-factor-model-via-regularized-pca-1111.6201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-factor-model-via-regularized-pca-1111.6201"/></url>
<url><loc>https://scifaro.com/en/abs/regret-bound-by-variation-for-online-convex-optimization-1111.6337</loc><lastmod>2012-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-bound-by-variation-for-online-convex-optimization-1111.6337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-bound-by-variation-for-online-convex-optimization-1111.6337"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-submodular-functions-a-convex-optimization-perspective-1111.6453</loc><lastmod>2013-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-submodular-functions-a-convex-optimization-perspective-1111.6453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-submodular-functions-a-convex-optimization-perspective-1111.6453"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-under-perturbation-resilience-1112.0826</loc><lastmod>2016-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-under-perturbation-resilience-1112.0826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-under-perturbation-resilience-1112.0826"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-embodied-action-perception-loops-through-exploration-1112.1125</loc><lastmod>2011-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-embodied-action-perception-loops-through-exploration-1112.1125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-embodied-action-perception-loops-through-exploration-1112.1125"/></url>
<url><loc>https://scifaro.com/en/abs/multi-timescale-nexting-in-a-reinforcement-learning-robot-1112.1133</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-timescale-nexting-in-a-reinforcement-learning-robot-1112.1133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-timescale-nexting-in-a-reinforcement-learning-robot-1112.1133"/></url>
<url><loc>https://scifaro.com/en/abs/an-identity-for-kernel-ridge-regression-1112.1390</loc><lastmod>2011-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-identity-for-kernel-ridge-regression-1112.1390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-identity-for-kernel-ridge-regression-1112.1390"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-of-halfspaces-under-a-margin-assumption-1112.1556</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-of-halfspaces-under-a-margin-assumption-1112.1556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-of-halfspaces-under-a-margin-assumption-1112.1556"/></url>
<url><loc>https://scifaro.com/en/abs/extended-ucb-policies-for-multi-armed-bandit-problems-1112.1768</loc><lastmod>2025-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extended-ucb-policies-for-multi-armed-bandit-problems-1112.1768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extended-ucb-policies-for-multi-armed-bandit-problems-1112.1768"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrapping-intrinsically-motivated-learning-with-human-demonstrations-1112.1937</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrapping-intrinsically-motivated-learning-with-human-demonstrations-1112.1937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrapping-intrinsically-motivated-learning-with-human-demonstrations-1112.1937"/></url>
<url><loc>https://scifaro.com/en/abs/bipartite-ranking-algorithm-for-classification-and-survival-analysis-1112.1966</loc><lastmod>2011-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bipartite-ranking-algorithm-for-classification-and-survival-analysis-1112.1966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bipartite-ranking-algorithm-for-classification-and-survival-analysis-1112.1966"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-and-extension-of-arc-cosine-kernels-for-large-margin-classification-1112.3712</loc><lastmod>2011-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-and-extension-of-arc-cosine-kernels-for-large-margin-classification-1112.3712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-and-extension-of-arc-cosine-kernels-for-large-margin-classification-1112.3712"/></url>
<url><loc>https://scifaro.com/en/abs/nonnegative-matrix-factorization-for-semi-supervised-dimensionality-reduction-1112.3714</loc><lastmod>2011-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonnegative-matrix-factorization-for-semi-supervised-dimensionality-reduction-1112.3714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonnegative-matrix-factorization-for-semi-supervised-dimensionality-reduction-1112.3714"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-and-latent-semantic-indexing-aspects-of-the-nonnegative-matrix-factorization-1112.4020</loc><lastmod>2011-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-and-latent-semantic-indexing-aspects-of-the-nonnegative-matrix-factorization-1112.4020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-and-latent-semantic-indexing-aspects-of-the-nonnegative-matrix-factorization-1112.4020"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-performance-measures-for-classifiers-comparison-1112.4133</loc><lastmod>2012-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-performance-measures-for-classifiers-comparison-1112.4133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-performance-measures-for-classifiers-comparison-1112.4133"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-for-classification-of-low-rank-representation-features-and-its-applications-in-audio-segment-classification-1112.4243</loc><lastmod>2011-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-for-classification-of-low-rank-representation-features-and-its-applications-in-audio-segment-classification-1112.4243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-for-classification-of-low-rank-representation-features-and-its-applications-in-audio-segment-classification-1112.4243"/></url>
<url><loc>https://scifaro.com/en/abs/performance-analysis-of-enhanced-clustering-algorithm-for-gene-expression-data-1112.4261</loc><lastmod>2012-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-analysis-of-enhanced-clustering-algorithm-for-gene-expression-data-1112.4261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-analysis-of-enhanced-clustering-algorithm-for-gene-expression-data-1112.4261"/></url>
<url><loc>https://scifaro.com/en/abs/a-scalable-multiclass-algorithm-for-node-classification-1112.4344</loc><lastmod>2011-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scalable-multiclass-algorithm-for-node-classification-1112.4344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scalable-multiclass-algorithm-for-node-classification-1112.4344"/></url>
<url><loc>https://scifaro.com/en/abs/alignment-based-kernel-learning-with-a-continuous-set-of-base-kernels-1112.4607</loc><lastmod>2011-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alignment-based-kernel-learning-with-a-continuous-set-of-base-kernels-1112.4607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alignment-based-kernel-learning-with-a-continuous-set-of-base-kernels-1112.4607"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-transition-dynamics-in-mdps-with-rkhs-embeddings-of-conditional-distributions-1112.4722</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-transition-dynamics-in-mdps-with-rkhs-embeddings-of-conditional-distributions-1112.4722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-transition-dynamics-in-mdps-with-rkhs-embeddings-of-conditional-distributions-1112.4722"/></url>
<url><loc>https://scifaro.com/en/abs/combining-one-class-classifiers-via-meta-learning-1112.5246</loc><lastmod>2013-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-one-class-classifiers-via-meta-learning-1112.5246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-one-class-classifiers-via-meta-learning-1112.5246"/></url>
<url><loc>https://scifaro.com/en/abs/similarity-based-learning-via-data-driven-embeddings-1112.5404</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/similarity-based-learning-via-data-driven-embeddings-1112.5404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/similarity-based-learning-via-data-driven-embeddings-1112.5404"/></url>
<url><loc>https://scifaro.com/en/abs/building-high-level-features-using-large-scale-unsupervised-learning-1112.6209</loc><lastmod>2017-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-high-level-features-using-large-scale-unsupervised-learning-1112.6209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-high-level-features-using-large-scale-unsupervised-learning-1112.6209"/></url>
<url><loc>https://scifaro.com/en/abs/two-manifold-problems-1112.6399</loc><lastmod>2011-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-manifold-problems-1112.6399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-manifold-problems-1112.6399"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-sparse-inverse-covariance-estimation-using-greedy-methods-1112.6411</loc><lastmod>2012-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-sparse-inverse-covariance-estimation-using-greedy-methods-1112.6411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-sparse-inverse-covariance-estimation-using-greedy-methods-1112.6411"/></url>
<url><loc>https://scifaro.com/en/abs/t-learning-1201.0292</loc><lastmod>2012-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/t-learning-1201.0292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/t-learning-1201.0292"/></url>
<url><loc>https://scifaro.com/en/abs/scikit-learn-machine-learning-in-python-1201.0490</loc><lastmod>2018-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scikit-learn-machine-learning-in-python-1201.0490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scikit-learn-machine-learning-in-python-1201.0490"/></url>
<url><loc>https://scifaro.com/en/abs/a-topic-modeling-toolbox-using-belief-propagation-1201.0838</loc><lastmod>2012-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-topic-modeling-toolbox-using-belief-propagation-1201.0838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-topic-modeling-toolbox-using-belief-propagation-1201.0838"/></url>
<url><loc>https://scifaro.com/en/abs/a-thermodynamical-approach-for-probability-estimation-1201.1384</loc><lastmod>2012-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-thermodynamical-approach-for-probability-estimation-1201.1384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-thermodynamical-approach-for-probability-estimation-1201.1384"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-via-regularized-trees-1201.1587</loc><lastmod>2012-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-via-regularized-trees-1201.1587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-via-regularized-trees-1201.1587"/></url>
<url><loc>https://scifaro.com/en/abs/customers-behavior-modeling-by-semi-supervised-learning-in-customer-relationship-management-1201.1670</loc><lastmod>2012-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/customers-behavior-modeling-by-semi-supervised-learning-in-customer-relationship-management-1201.1670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/customers-behavior-modeling-by-semi-supervised-learning-in-customer-relationship-management-1201.1670"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-detection-of-diabetes-diagnosis-using-feature-weighted-support-vector-machines-based-on-mutual-information-and-modified-cuckoo-search-1201.2173</loc><lastmod>2012-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-detection-of-diabetes-diagnosis-using-feature-weighted-support-vector-machines-based-on-mutual-information-and-modified-cuckoo-search-1201.2173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-detection-of-diabetes-diagnosis-using-feature-weighted-support-vector-machines-based-on-mutual-information-and-modified-cuckoo-search-1201.2173"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-low-rank-kernel-learning-for-regression-1201.2416</loc><lastmod>2012-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-low-rank-kernel-learning-for-regression-1201.2416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-low-rank-kernel-learning-for-regression-1201.2416"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-reward-processes-1201.2555</loc><lastmod>2012-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-reward-processes-1201.2555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-reward-processes-1201.2555"/></url>
<url><loc>https://scifaro.com/en/abs/joint-approximation-of-information-and-distributed-link-scheduling-decisions-in-wireless-networks-1201.2575</loc><lastmod>2012-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-approximation-of-information-and-distributed-link-scheduling-decisions-in-wireless-networks-1201.2575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-approximation-of-information-and-distributed-link-scheduling-decisions-in-wireless-networks-1201.2575"/></url>
<url><loc>https://scifaro.com/en/abs/acoustical-quality-assessment-of-the-classroom-environment-1201.2902</loc><lastmod>2012-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/acoustical-quality-assessment-of-the-classroom-environment-1201.2902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/acoustical-quality-assessment-of-the-classroom-environment-1201.2902"/></url>
<url><loc>https://scifaro.com/en/abs/combining-heterogeneous-classifiers-for-relational-databases-1201.2925</loc><lastmod>2012-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-heterogeneous-classifiers-for-relational-databases-1201.2925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-heterogeneous-classifiers-for-relational-databases-1201.2925"/></url>
<url><loc>https://scifaro.com/en/abs/a-metric-learning-perspective-of-svm-on-the-relation-of-svm-and-lmnn-1201.4714</loc><lastmod>2012-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-metric-learning-perspective-of-svm-on-the-relation-of-svm-and-lmnn-1201.4714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-metric-learning-perspective-of-svm-on-the-relation-of-svm-and-lmnn-1201.4714"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-classification-using-immune-algorithm-1201.5217</loc><lastmod>2012-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-classification-using-immune-algorithm-1201.5217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-classification-using-immune-algorithm-1201.5217"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-primal-dual-prox-method-for-non-smooth-optimization-1201.5283</loc><lastmod>2013-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-primal-dual-prox-method-for-non-smooth-optimization-1201.5283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-primal-dual-prox-method-for-non-smooth-optimization-1201.5283"/></url>
<url><loc>https://scifaro.com/en/abs/on-constrained-spectral-clustering-and-its-applications-1201.5338</loc><lastmod>2012-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-constrained-spectral-clustering-and-its-applications-1201.5338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-constrained-spectral-clustering-and-its-applications-1201.5338"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-between-data-mining-prediction-algorithms-for-fault-detection-case-study-ahanpishegan-co-1201.6053</loc><lastmod>2012-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-between-data-mining-prediction-algorithms-for-fault-detection-case-study-ahanpishegan-co-1201.6053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-between-data-mining-prediction-algorithms-for-fault-detection-case-study-ahanpishegan-co-1201.6053"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-of-custering-with-side-information-using-eps-smooth-relative-regret-approximations-1201.6462</loc><lastmod>2012-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-of-custering-with-side-information-using-eps-smooth-relative-regret-approximations-1201.6462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-of-custering-with-side-information-using-eps-smooth-relative-regret-approximations-1201.6462"/></url>
<url><loc>https://scifaro.com/en/abs/random-feature-maps-for-dot-product-kernels-1201.6530</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-feature-maps-for-dot-product-kernels-1201.6530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-feature-maps-for-dot-product-kernels-1201.6530"/></url>
<url><loc>https://scifaro.com/en/abs/kernels-on-sample-sets-via-nonparametric-divergence-estimates-1202.0302</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernels-on-sample-sets-via-nonparametric-divergence-estimates-1202.0302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernels-on-sample-sets-via-nonparametric-divergence-estimates-1202.0302"/></url>
<url><loc>https://scifaro.com/en/abs/a-reconstruction-error-formulation-for-semi-supervised-multi-task-and-multi-view-learning-1202.0855</loc><lastmod>2012-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reconstruction-error-formulation-for-semi-supervised-multi-task-and-multi-view-learning-1202.0855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reconstruction-error-formulation-for-semi-supervised-multi-task-and-multi-view-learning-1202.0855"/></url>
<url><loc>https://scifaro.com/en/abs/cramer-rao-type-bounds-for-sparse-bayesian-learning-1202.1119</loc><lastmod>2015-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cramer-rao-type-bounds-for-sparse-bayesian-learning-1202.1119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cramer-rao-type-bounds-for-sparse-bayesian-learning-1202.1119"/></url>
<url><loc>https://scifaro.com/en/abs/rferns-an-implementation-of-the-random-ferns-method-for-general-purpose-machine-learning-1202.1121</loc><lastmod>2023-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rferns-an-implementation-of-the-random-ferns-method-for-general-purpose-machine-learning-1202.1121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rferns-an-implementation-of-the-random-ferns-method-for-general-purpose-machine-learning-1202.1121"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-bandit-learning-with-predictable-rewards-1202.1334</loc><lastmod>2012-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-bandit-learning-with-predictable-rewards-1202.1334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-bandit-learning-with-predictable-rewards-1202.1334"/></url>
<url><loc>https://scifaro.com/en/abs/information-forests-1202.1523</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-forests-1202.1523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-forests-1202.1523"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-performance-of-maximum-likelihood-inverse-reinforcement-learning-1202.1558</loc><lastmod>2012-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-performance-of-maximum-likelihood-inverse-reinforcement-learning-1202.1558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-performance-of-maximum-likelihood-inverse-reinforcement-learning-1202.1558"/></url>
<url><loc>https://scifaro.com/en/abs/craniofacial-reconstruction-as-a-prediction-problem-using-a-latent-root-regression-model-1202.2703</loc><lastmod>2012-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/craniofacial-reconstruction-as-a-prediction-problem-using-a-latent-root-regression-model-1202.2703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/craniofacial-reconstruction-as-a-prediction-problem-using-a-latent-root-regression-model-1202.2703"/></url>
<url><loc>https://scifaro.com/en/abs/towards-minimax-policies-for-online-linear-optimization-with-bandit-feedback-1202.3079</loc><lastmod>2012-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-minimax-policies-for-online-linear-optimization-with-bandit-feedback-1202.3079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-minimax-policies-for-online-linear-optimization-with-bandit-feedback-1202.3079"/></url>
<url><loc>https://scifaro.com/en/abs/mirror-descent-meets-fixed-share-and-feels-no-regret-1202.3323</loc><lastmod>2012-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mirror-descent-meets-fixed-share-and-feels-no-regret-1202.3323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mirror-descent-meets-fixed-share-and-feels-no-regret-1202.3323"/></url>
<url><loc>https://scifaro.com/en/abs/active-diagnosis-via-auc-maximization-an-efficient-approach-for-multiple-fault-identification-in-large-scale-noisy-networks-1202.3701</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-diagnosis-via-auc-maximization-an-efficient-approach-for-multiple-fault-identification-in-large-scale-noisy-networks-1202.3701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-diagnosis-via-auc-maximization-an-efficient-approach-for-multiple-fault-identification-in-large-scale-noisy-networks-1202.3701"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-with-density-based-distances-1202.3702</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-with-density-based-distances-1202.3702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-with-density-based-distances-1202.3702"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-target-learning-with-stochastic-binary-signals-1202.3704</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-target-learning-with-stochastic-binary-signals-1202.3704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-target-learning-with-stochastic-binary-signals-1202.3704"/></url>
<url><loc>https://scifaro.com/en/abs/smoothing-proximal-gradient-method-for-general-structured-sparse-learning-1202.3708</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothing-proximal-gradient-method-for-general-structured-sparse-learning-1202.3708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothing-proximal-gradient-method-for-general-structured-sparse-learning-1202.3708"/></url>
<url><loc>https://scifaro.com/en/abs/ensembles-of-kernel-predictors-1202.3712</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensembles-of-kernel-predictors-1202.3712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensembles-of-kernel-predictors-1202.3712"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-developing-personalized-treatment-1202.3714</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-developing-personalized-treatment-1202.3714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-developing-personalized-treatment-1202.3714"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-as-a-product-of-experts-1202.3716</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-as-a-product-of-experts-1202.3716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-as-a-product-of-experts-1202.3716"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-policy-evaluation-for-reinforcement-learning-1202.3717</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-policy-evaluation-for-reinforcement-learning-1202.3717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-policy-evaluation-for-reinforcement-learning-1202.3717"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-affinity-propagation-1202.3722</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-affinity-propagation-1202.3722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-affinity-propagation-1202.3722"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-fisher-score-for-feature-selection-1202.3725</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-fisher-score-for-feature-selection-1202.3725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-fisher-score-for-feature-selection-1202.3725"/></url>
<url><loc>https://scifaro.com/en/abs/active-semi-supervised-learning-using-submodular-functions-1202.3726</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-semi-supervised-learning-using-submodular-functions-1202.3726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-semi-supervised-learning-using-submodular-functions-1202.3726"/></url>
<url><loc>https://scifaro.com/en/abs/bregman-divergence-as-general-framework-to-estimate-unnormalized-statistical-models-1202.3727</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bregman-divergence-as-general-framework-to-estimate-unnormalized-statistical-models-1202.3727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bregman-divergence-as-general-framework-to-estimate-unnormalized-statistical-models-1202.3727"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-inference-for-latent-force-models-1202.3730</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-inference-for-latent-force-models-1202.3730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-inference-for-latent-force-models-1202.3730"/></url>
<url><loc>https://scifaro.com/en/abs/what-cannot-be-learned-with-bethe-approximations-1202.3731</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-cannot-be-learned-with-bethe-approximations-1202.3731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-cannot-be-learned-with-bethe-approximations-1202.3731"/></url>
<url><loc>https://scifaro.com/en/abs/sum-product-networks-a-new-deep-architecture-1202.3732</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sum-product-networks-a-new-deep-architecture-1202.3732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sum-product-networks-a-new-deep-architecture-1202.3732"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitz-parametrization-of-probabilistic-graphical-models-1202.3733</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitz-parametrization-of-probabilistic-graphical-models-1202.3733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitz-parametrization-of-probabilistic-graphical-models-1202.3733"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-probabilistic-inference-with-partial-ranking-queries-1202.3734</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-probabilistic-inference-with-partial-ranking-queries-1202.3734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-probabilistic-inference-with-partial-ranking-queries-1202.3734"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-or-models-with-latent-confounding-1202.3735</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-or-models-with-latent-confounding-1202.3735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-or-models-with-latent-confounding-1202.3735"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-causal-structures-in-binary-exclusive-or-skew-acyclic-models-1202.3736</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-causal-structures-in-binary-exclusive-or-skew-acyclic-models-1202.3736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-causal-structures-in-binary-exclusive-or-skew-acyclic-models-1202.3736"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-low-complexity-unobserved-causes-1202.3737</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-low-complexity-unobserved-causes-1202.3737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-low-complexity-unobserved-causes-1202.3737"/></url>
<url><loc>https://scifaro.com/en/abs/learning-determinantal-point-processes-1202.3738</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-determinantal-point-processes-1202.3738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-determinantal-point-processes-1202.3738"/></url>
<url><loc>https://scifaro.com/en/abs/variational-algorithms-for-marginal-map-1202.3742</loc><lastmod>2013-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-algorithms-for-marginal-map-1202.3742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-algorithms-for-marginal-map-1202.3742"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-efficiency-of-deterministic-estimators-for-discrete-energy-based-models-ratio-matching-and-pseudolikelihood-1202.3746</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-efficiency-of-deterministic-estimators-for-discrete-energy-based-models-ratio-matching-and-pseudolikelihood-1202.3746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-efficiency-of-deterministic-estimators-for-discrete-energy-based-models-ratio-matching-and-pseudolikelihood-1202.3746"/></url>
<url><loc>https://scifaro.com/en/abs/reconstructing-pompeian-households-1202.3747</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconstructing-pompeian-households-1202.3747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconstructing-pompeian-households-1202.3747"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-restricted-boltzmann-machines-for-structured-output-prediction-1202.3748</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-restricted-boltzmann-machines-for-structured-output-prediction-1202.3748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-restricted-boltzmann-machines-for-structured-output-prediction-1202.3748"/></url>
<url><loc>https://scifaro.com/en/abs/fractional-moments-on-bandit-problems-1202.3750</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fractional-moments-on-bandit-problems-1202.3750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fractional-moments-on-bandit-problems-1202.3750"/></url>
<url><loc>https://scifaro.com/en/abs/partial-order-mcmc-for-structure-discovery-in-bayesian-networks-1202.3753</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-order-mcmc-for-structure-discovery-in-bayesian-networks-1202.3753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-order-mcmc-for-structure-discovery-in-bayesian-networks-1202.3753"/></url>
<url><loc>https://scifaro.com/en/abs/identifiability-of-causal-graphs-using-functional-models-1202.3757</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiability-of-causal-graphs-using-functional-models-1202.3757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiability-of-causal-graphs-using-functional-models-1202.3757"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-divergence-estimation-with-applications-to-machine-learning-on-distributions-1202.3758</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-divergence-estimation-with-applications-to-machine-learning-on-distributions-1202.3758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-divergence-estimation-with-applications-to-machine-learning-on-distributions-1202.3758"/></url>
<url><loc>https://scifaro.com/en/abs/new-probabilistic-bounds-on-eigenvalues-and-eigenvectors-of-random-kernel-matrices-1202.3761</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-probabilistic-bounds-on-eigenvalues-and-eigenvectors-of-random-kernel-matrices-1202.3761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-probabilistic-bounds-on-eigenvalues-and-eigenvectors-of-random-kernel-matrices-1202.3761"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-algorithm-for-computing-interventional-distributions-in-latent-variable-causal-models-1202.3763</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-algorithm-for-computing-interventional-distributions-in-latent-variable-causal-models-1202.3763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-algorithm-for-computing-interventional-distributions-in-latent-variable-causal-models-1202.3763"/></url>
<url><loc>https://scifaro.com/en/abs/robust-learning-bayesian-networks-for-prior-belief-1202.3766</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-learning-bayesian-networks-for-prior-belief-1202.3766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-learning-bayesian-networks-for-prior-belief-1202.3766"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-matrix-variate-gaussian-process-blockmodels-for-network-modeling-1202.3769</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-matrix-variate-gaussian-process-blockmodels-for-network-modeling-1202.3769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-matrix-variate-gaussian-process-blockmodels-for-network-modeling-1202.3769"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-maximum-margin-learning-for-multi-class-classification-1202.3770</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-maximum-margin-learning-for-multi-class-classification-1202.3770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-maximum-margin-learning-for-multi-class-classification-1202.3770"/></url>
<url><loc>https://scifaro.com/en/abs/tightening-mrf-relaxations-with-planar-subproblems-1202.3771</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tightening-mrf-relaxations-with-planar-subproblems-1202.3771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tightening-mrf-relaxations-with-planar-subproblems-1202.3771"/></url>
<url><loc>https://scifaro.com/en/abs/rank-norm-regularization-with-closed-form-solutions-application-to-subspace-clustering-1202.3772</loc><lastmod>2012-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-norm-regularization-with-closed-form-solutions-application-to-subspace-clustering-1202.3772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-norm-regularization-with-closed-form-solutions-application-to-subspace-clustering-1202.3772"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-conditional-independence-test-and-application-in-causal-discovery-1202.3775</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-conditional-independence-test-and-application-in-causal-discovery-1202.3775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-conditional-independence-test-and-application-in-causal-discovery-1202.3775"/></url>
<url><loc>https://scifaro.com/en/abs/smoothing-multivariate-performance-measures-1202.3776</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothing-multivariate-performance-measures-1202.3776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothing-multivariate-performance-measures-1202.3776"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-topical-coding-1202.3778</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-topical-coding-1202.3778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-topical-coding-1202.3778"/></url>
<url><loc>https://scifaro.com/en/abs/testing-whether-linear-equations-are-causal-a-free-probability-theory-approach-1202.3779</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-whether-linear-equations-are-causal-a-free-probability-theory-approach-1202.3779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-whether-linear-equations-are-causal-a-free-probability-theory-approach-1202.3779"/></url>
<url><loc>https://scifaro.com/en/abs/graphical-models-for-bandit-problems-1202.3782</loc><lastmod>2012-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphical-models-for-bandit-problems-1202.3782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphical-models-for-bandit-problems-1202.3782"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bounds-for-discounted-mdps-1202.3890</loc><lastmod>2013-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bounds-for-discounted-mdps-1202.3890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bounds-for-discounted-mdps-1202.3890"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sample-complexity-of-predictive-sparse-coding-1202.4050</loc><lastmod>2012-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-predictive-sparse-coding-1202.4050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-predictive-sparse-coding-1202.4050"/></url>
<url><loc>https://scifaro.com/en/abs/the-best-of-both-worlds-stochastic-and-adversarial-bandits-1202.4473</loc><lastmod>2012-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-best-of-both-worlds-stochastic-and-adversarial-bandits-1202.4473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-best-of-both-worlds-stochastic-and-adversarial-bandits-1202.4473"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-using-max-norm-constrained-optimization-1202.5598</loc><lastmod>2012-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-using-max-norm-constrained-optimization-1202.5598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-using-max-norm-constrained-optimization-1202.5598"/></url>
<url><loc>https://scifaro.com/en/abs/training-restricted-boltzmann-machines-on-word-observations-1202.5695</loc><lastmod>2012-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-restricted-boltzmann-machines-on-word-observations-1202.5695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-restricted-boltzmann-machines-on-word-observations-1202.5695"/></url>
<url><loc>https://scifaro.com/en/abs/confusion-matrix-stability-bounds-for-multiclass-classification-1202.6221</loc><lastmod>2012-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confusion-matrix-stability-bounds-for-multiclass-classification-1202.6221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confusion-matrix-stability-bounds-for-multiclass-classification-1202.6221"/></url>
<url><loc>https://scifaro.com/en/abs/fast-reinforcement-learning-with-large-action-sets-using-error-correcting-output-codes-for-mdp-factorization-1203.0203</loc><lastmod>2012-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-reinforcement-learning-with-large-action-sets-using-error-correcting-output-codes-for-mdp-factorization-1203.0203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-reinforcement-learning-with-large-action-sets-using-error-correcting-output-codes-for-mdp-factorization-1203.0203"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-gist-svm-in-cancer-detection-1203.0298</loc><lastmod>2012-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-gist-svm-in-cancer-detection-1203.0298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-gist-svm-in-cancer-detection-1203.0298"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-for-learning-kernels-based-on-centered-alignment-1203.0550</loc><lastmod>2024-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-learning-kernels-based-on-centered-alignment-1203.0550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-learning-kernels-based-on-centered-alignment-1203.0550"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dnf-expressions-from-fourier-spectrum-1203.0594</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dnf-expressions-from-fourier-spectrum-1203.0594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dnf-expressions-from-fourier-spectrum-1203.0594"/></url>
<url><loc>https://scifaro.com/en/abs/a-method-of-moments-for-mixture-models-and-hidden-markov-models-1203.0683</loc><lastmod>2012-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-method-of-moments-for-mixture-models-and-hidden-markov-models-1203.0683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-method-of-moments-for-mixture-models-and-hidden-markov-models-1203.0683"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-shift-invariant-grouped-multi-task-learning-for-gaussian-processes-1203.0970</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-shift-invariant-grouped-multi-task-learning-for-gaussian-processes-1203.0970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-shift-invariant-grouped-multi-task-learning-for-gaussian-processes-1203.0970"/></url>
<url><loc>https://scifaro.com/en/abs/agnostic-system-identification-for-model-based-reinforcement-learning-1203.1007</loc><lastmod>2012-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agnostic-system-identification-for-model-based-reinforcement-learning-1203.1007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agnostic-system-identification-for-model-based-reinforcement-learning-1203.1007"/></url>
<url><loc>https://scifaro.com/en/abs/graph-partitioning-advance-clustering-technique-1203.2002</loc><lastmod>2012-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-partitioning-advance-clustering-technique-1203.2002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-partitioning-advance-clustering-technique-1203.2002"/></url>
<url><loc>https://scifaro.com/en/abs/regret-bounds-for-deterministic-gaussian-process-bandits-1203.2177</loc><lastmod>2012-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-bounds-for-deterministic-gaussian-process-bandits-1203.2177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-bounds-for-deterministic-gaussian-process-bandits-1203.2177"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-flood-forecasting-scheme-using-wireless-sensor-networks-1203.2511</loc><lastmod>2012-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-flood-forecasting-scheme-using-wireless-sensor-networks-1203.2511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-flood-forecasting-scheme-using-wireless-sensor-networks-1203.2511"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-necessity-of-irrelevant-variables-1203.2557</loc><lastmod>2012-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-necessity-of-irrelevant-variables-1203.2557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-necessity-of-irrelevant-variables-1203.2557"/></url>
<url><loc>https://scifaro.com/en/abs/mining-education-data-to-predict-student-s-retention-a-comparative-study-1203.2987</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-education-data-to-predict-student-s-retention-a-comparative-study-1203.2987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-education-data-to-predict-student-s-retention-a-comparative-study-1203.2987"/></url>
<url><loc>https://scifaro.com/en/abs/evolving-culture-vs-local-minima-1203.2990</loc><lastmod>2012-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolving-culture-vs-local-minima-1203.2990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolving-culture-vs-local-minima-1203.2990"/></url>
<url><loc>https://scifaro.com/en/abs/robust-metric-learning-by-smooth-optimization-1203.3461</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-metric-learning-by-smooth-optimization-1203.3461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-metric-learning-by-smooth-optimization-1203.3461"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-topic-models-1203.3462</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-topic-models-1203.3462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-topic-models-1203.3462"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-rose-trees-1203.3468</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-rose-trees-1203.3468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-rose-trees-1203.3468"/></url>
<url><loc>https://scifaro.com/en/abs/an-online-learning-based-framework-for-tracking-1203.3471</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-online-learning-based-framework-for-tracking-1203.3471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-online-learning-based-framework-for-tracking-1203.3471"/></url>
<url><loc>https://scifaro.com/en/abs/super-samples-from-kernel-herding-1203.3472</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/super-samples-from-kernel-herding-1203.3472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/super-samples-from-kernel-herding-1203.3472"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-deterministic-causal-relations-1203.3475</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-deterministic-causal-relations-1203.3475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-deterministic-causal-relations-1203.3475"/></url>
<url><loc>https://scifaro.com/en/abs/inference-less-density-estimation-using-copula-bayesian-networks-1203.3476</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-less-density-estimation-using-copula-bayesian-networks-1203.3476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-less-density-estimation-using-copula-bayesian-networks-1203.3476"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-scheduling-via-reinforcement-learning-1203.3481</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-scheduling-via-reinforcement-learning-1203.3481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-scheduling-via-reinforcement-learning-1203.3481"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-maximum-likelihood-for-intrinsic-dimension-estimation-1203.3483</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-maximum-likelihood-for-intrinsic-dimension-estimation-1203.3483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-maximum-likelihood-for-intrinsic-dimension-estimation-1203.3483"/></url>
<url><loc>https://scifaro.com/en/abs/the-hierarchical-dirichlet-process-hidden-semi-markov-model-1203.3485</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-hierarchical-dirichlet-process-hidden-semi-markov-model-1203.3485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-hierarchical-dirichlet-process-hidden-semi-markov-model-1203.3485"/></url>
<url><loc>https://scifaro.com/en/abs/combining-spatial-and-telemetric-features-for-learning-animal-movement-models-1203.3486</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-spatial-and-telemetric-features-for-learning-animal-movement-models-1203.3486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-spatial-and-telemetric-features-for-learning-animal-movement-models-1203.3486"/></url>
<url><loc>https://scifaro.com/en/abs/causal-conclusions-that-flip-repeatedly-and-their-justification-1203.3488</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-conclusions-that-flip-repeatedly-and-their-justification-1203.3488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-conclusions-that-flip-repeatedly-and-their-justification-1203.3488"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-exponential-family-projections-for-coupled-data-sources-1203.3489</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-exponential-family-projections-for-coupled-data-sources-1203.3489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-exponential-family-projections-for-coupled-data-sources-1203.3489"/></url>
<url><loc>https://scifaro.com/en/abs/robust-logitboost-and-adaptive-base-class-abc-logitboost-1203.3491</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-logitboost-and-adaptive-base-class-abc-logitboost-1203.3491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-logitboost-and-adaptive-base-class-abc-logitboost-1203.3491"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-higher-order-distances-using-random-projections-1203.3492</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-higher-order-distances-using-random-projections-1203.3492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-higher-order-distances-using-random-projections-1203.3492"/></url>
<url><loc>https://scifaro.com/en/abs/negative-tree-reweighted-belief-propagation-1203.3494</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/negative-tree-reweighted-belief-propagation-1203.3494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/negative-tree-reweighted-belief-propagation-1203.3494"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-free-spectral-kernel-learning-1203.3495</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-free-spectral-kernel-learning-1203.3495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-free-spectral-kernel-learning-1203.3495"/></url>
<url><loc>https://scifaro.com/en/abs/dirichlet-process-mixtures-of-generalized-mallows-models-1203.3496</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dirichlet-process-mixtures-of-generalized-mallows-models-1203.3496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dirichlet-process-mixtures-of-generalized-mallows-models-1203.3496"/></url>
<url><loc>https://scifaro.com/en/abs/parametric-return-density-estimation-for-reinforcement-learning-1203.3497</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametric-return-density-estimation-for-reinforcement-learning-1203.3497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametric-return-density-estimation-for-reinforcement-learning-1203.3497"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-and-complexity-results-for-exact-bayesian-structure-learning-1203.3501</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-and-complexity-results-for-exact-bayesian-structure-learning-1203.3501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-and-complexity-results-for-exact-bayesian-structure-learning-1203.3501"/></url>
<url><loc>https://scifaro.com/en/abs/a-family-of-computationally-efficient-and-simple-estimators-for-unnormalized-statistical-models-1203.3506</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-family-of-computationally-efficient-and-simple-estimators-for-unnormalized-statistical-models-1203.3506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-family-of-computationally-efficient-and-simple-estimators-for-unnormalized-statistical-models-1203.3506"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-posterior-gaussian-processes-for-general-likelihoods-1203.3507</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-posterior-gaussian-processes-for-general-likelihoods-1203.3507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-posterior-gaussian-processes-for-general-likelihoods-1203.3507"/></url>
<url><loc>https://scifaro.com/en/abs/inference-by-minimizing-size-divergence-or-their-sum-1203.3511</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-by-minimizing-size-divergence-or-their-sum-1203.3511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-by-minimizing-size-divergence-or-their-sum-1203.3511"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-events-with-cascades-of-poisson-processes-1203.3516</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-events-with-cascades-of-poisson-processes-1203.3516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-events-with-cascades-of-poisson-processes-1203.3516"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-matrix-factorization-model-for-relational-data-1203.3517</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-matrix-factorization-model-for-relational-data-1203.3517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-matrix-factorization-model-for-relational-data-1203.3517"/></url>
<url><loc>https://scifaro.com/en/abs/variance-based-rewards-for-approximate-bayesian-reinforcement-learning-1203.3518</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-based-rewards-for-approximate-bayesian-reinforcement-learning-1203.3518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-based-rewards-for-approximate-bayesian-reinforcement-learning-1203.3518"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-in-monte-carlo-tree-search-1203.3519</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-in-monte-carlo-tree-search-1203.3519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-in-monte-carlo-tree-search-1203.3519"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-model-averaging-using-the-k-best-bayesian-network-structures-1203.3520</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-model-averaging-using-the-k-best-bayesian-network-structures-1203.3520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-model-averaging-using-the-k-best-bayesian-network-structures-1203.3520"/></url>
<url><loc>https://scifaro.com/en/abs/learning-networks-determined-by-the-ratio-of-prior-and-data-1203.3521</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-networks-determined-by-the-ratio-of-prior-and-data-1203.3521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-networks-determined-by-the-ratio-of-prior-and-data-1203.3521"/></url>
<url><loc>https://scifaro.com/en/abs/online-semi-supervised-learning-on-quantized-graphs-1203.3522</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-semi-supervised-learning-on-quantized-graphs-1203.3522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-semi-supervised-learning-on-quantized-graphs-1203.3522"/></url>
<url><loc>https://scifaro.com/en/abs/primal-view-on-belief-propagation-1203.3526</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/primal-view-on-belief-propagation-1203.3526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/primal-view-on-belief-propagation-1203.3526"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-multiple-annotator-expertise-in-the-semi-supervised-learning-scenario-1203.3529</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-multiple-annotator-expertise-in-the-semi-supervised-learning-scenario-1203.3529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-multiple-annotator-expertise-in-the-semi-supervised-learning-scenario-1203.3529"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-generative-discriminative-learning-for-automatic-image-annotation-1203.3530</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-generative-discriminative-learning-for-automatic-image-annotation-1203.3530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-generative-discriminative-learning-for-automatic-image-annotation-1203.3530"/></url>
<url><loc>https://scifaro.com/en/abs/learning-structural-changes-of-gaussian-graphical-models-in-controlled-experiments-1203.3532</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-structural-changes-of-gaussian-graphical-models-in-controlled-experiments-1203.3532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-structural-changes-of-gaussian-graphical-models-in-controlled-experiments-1203.3532"/></url>
<url><loc>https://scifaro.com/en/abs/source-separation-and-higher-order-causal-analysis-of-meg-and-eeg-1203.3533</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/source-separation-and-higher-order-causal-analysis-of-meg-and-eeg-1203.3533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/source-separation-and-higher-order-causal-analysis-of-meg-and-eeg-1203.3533"/></url>
<url><loc>https://scifaro.com/en/abs/invariant-gaussian-process-latent-variable-models-and-application-in-causal-discovery-1203.3534</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariant-gaussian-process-latent-variable-models-and-application-in-causal-discovery-1203.3534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariant-gaussian-process-latent-variable-models-and-application-in-causal-discovery-1203.3534"/></url>
<url><loc>https://scifaro.com/en/abs/a-convex-formulation-for-learning-task-relationships-in-multi-task-learning-1203.3536</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convex-formulation-for-learning-task-relationships-in-multi-task-learning-1203.3536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convex-formulation-for-learning-task-relationships-in-multi-task-learning-1203.3536"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-tuning-of-interactive-perception-applications-1203.3537</loc><lastmod>2012-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-tuning-of-interactive-perception-applications-1203.3537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-tuning-of-interactive-perception-applications-1203.3537"/></url>
<url><loc>https://scifaro.com/en/abs/data-mining-a-prediction-for-performance-improvement-of-engineering-students-using-classification-1203.3832</loc><lastmod>2012-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-mining-a-prediction-for-performance-improvement-of-engineering-students-using-classification-1203.3832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-mining-a-prediction-for-performance-improvement-of-engineering-students-using-classification-1203.3832"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-cooperative-q-learning-for-power-allocation-in-cognitive-femtocell-networks-1203.3935</loc><lastmod>2012-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-cooperative-q-learning-for-power-allocation-in-cognitive-femtocell-networks-1203.3935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-cooperative-q-learning-for-power-allocation-in-cognitive-femtocell-networks-1203.3935"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-equivalence-between-herding-and-conditional-gradient-algorithms-1203.4523</loc><lastmod>2012-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-equivalence-between-herding-and-conditional-gradient-algorithms-1203.4523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-equivalence-between-herding-and-conditional-gradient-algorithms-1203.4523"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-training-algorithm-for-hmms-with-partial-and-noisy-access-to-the-states-1203.4597</loc><lastmod>2012-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-training-algorithm-for-hmms-with-partial-and-noisy-access-to-the-states-1203.4597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-training-algorithm-for-hmms-with-partial-and-noisy-access-to-the-states-1203.4597"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-mixture-methods-based-on-bregman-divergences-1203.4598</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-mixture-methods-based-on-bregman-divergences-1203.4598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-mixture-methods-based-on-bregman-divergences-1203.4598"/></url>
<url><loc>https://scifaro.com/en/abs/very-short-literature-survey-from-supervised-learning-to-surrogate-modeling-1203.4788</loc><lastmod>2012-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/very-short-literature-survey-from-supervised-learning-to-surrogate-modeling-1203.4788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/very-short-literature-survey-from-supervised-learning-to-surrogate-modeling-1203.4788"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-matrix-factorization-for-binary-response-1203.5124</loc><lastmod>2012-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-matrix-factorization-for-binary-response-1203.5124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-matrix-factorization-for-binary-response-1203.5124"/></url>
<url><loc>https://scifaro.com/en/abs/k-mle-a-fast-algorithm-for-learning-statistical-mixture-models-1203.5181</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-mle-a-fast-algorithm-for-learning-statistical-mixture-models-1203.5181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-mle-a-fast-algorithm-for-learning-statistical-mixture-models-1203.5181"/></url>
<url><loc>https://scifaro.com/en/abs/a-regularization-approach-for-prediction-of-edges-and-node-features-in-dynamic-graphs-1203.5438</loc><lastmod>2012-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-regularization-approach-for-prediction-of-edges-and-node-features-in-dynamic-graphs-1203.5438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-regularization-approach-for-prediction-of-edges-and-node-features-in-dynamic-graphs-1203.5438"/></url>
<url><loc>https://scifaro.com/en/abs/credal-classification-based-on-aode-and-compression-coefficients-1203.5716</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/credal-classification-based-on-aode-and-compression-coefficients-1203.5716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/credal-classification-based-on-aode-and-compression-coefficients-1203.5716"/></url>
<url><loc>https://scifaro.com/en/abs/a-lipschitz-exploration-exploitation-scheme-for-bayesian-optimization-1204.0047</loc><lastmod>2013-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-lipschitz-exploration-exploitation-scheme-for-bayesian-optimization-1204.0047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-lipschitz-exploration-exploitation-scheme-for-bayesian-optimization-1204.0047"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-algorithms-for-online-matrix-prediction-1204.0136</loc><lastmod>2012-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-algorithms-for-online-matrix-prediction-1204.0136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-algorithms-for-online-matrix-prediction-1204.0136"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-approach-to-speeding-up-topic-modeling-1204.0170</loc><lastmod>2014-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-approach-to-speeding-up-topic-modeling-1204.0170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-approach-to-speeding-up-topic-modeling-1204.0170"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-fuzzy-stacked-generalization-technique-and-analysis-of-its-performance-1204.0171</loc><lastmod>2013-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-fuzzy-stacked-generalization-technique-and-analysis-of-its-performance-1204.0171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-fuzzy-stacked-generalization-technique-and-analysis-of-its-performance-1204.0171"/></url>
<url><loc>https://scifaro.com/en/abs/the-kernelized-stochastic-batch-perceptron-1204.0566</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-kernelized-stochastic-batch-perceptron-1204.0566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-kernelized-stochastic-batch-perceptron-1204.0566"/></url>
<url><loc>https://scifaro.com/en/abs/validation-of-nonlinear-pca-1204.0684</loc><lastmod>2012-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/validation-of-nonlinear-pca-1204.0684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/validation-of-nonlinear-pca-1204.0684"/></url>
<url><loc>https://scifaro.com/en/abs/relax-and-localize-from-value-to-algorithms-1204.0870</loc><lastmod>2012-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relax-and-localize-from-value-to-algorithms-1204.0870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relax-and-localize-from-value-to-algorithms-1204.0870"/></url>
<url><loc>https://scifaro.com/en/abs/fast-als-based-tensor-factorization-for-context-aware-recommendation-from-implicit-feedback-1204.1259</loc><lastmod>2013-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-als-based-tensor-factorization-for-context-aware-recommendation-from-implicit-feedback-1204.1259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-als-based-tensor-factorization-for-context-aware-recommendation-from-implicit-feedback-1204.1259"/></url>
<url><loc>https://scifaro.com/en/abs/on-power-law-kernels-corresponding-reproducing-kernel-hilbert-space-and-applications-1204.1800</loc><lastmod>2013-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-power-law-kernels-corresponding-reproducing-kernel-hilbert-space-and-applications-1204.1800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-power-law-kernels-corresponding-reproducing-kernel-hilbert-space-and-applications-1204.1800"/></url>
<url><loc>https://scifaro.com/en/abs/learning-topic-models-going-beyond-svd-1204.1956</loc><lastmod>2012-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-topic-models-going-beyond-svd-1204.1956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-topic-models-going-beyond-svd-1204.1956"/></url>
<url><loc>https://scifaro.com/en/abs/robust-nonnegative-matrix-factorization-via-l-1-norm-regularization-1204.2311</loc><lastmod>2012-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-nonnegative-matrix-factorization-via-l-1-norm-regularization-1204.2311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-nonnegative-matrix-factorization-via-l-1-norm-regularization-1204.2311"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-feature-mapping-for-pac-bayes-classification-1204.2609</loc><lastmod>2012-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-feature-mapping-for-pac-bayes-classification-1204.2609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-feature-mapping-for-pac-bayes-classification-1204.2609"/></url>
<url><loc>https://scifaro.com/en/abs/plug-in-martingales-for-testing-exchangeability-on-line-1204.3251</loc><lastmod>2012-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plug-in-martingales-for-testing-exchangeability-on-line-1204.3251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plug-in-martingales-for-testing-exchangeability-on-line-1204.3251"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-learning-communication-complexity-and-privacy-1204.3514</loc><lastmod>2012-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-learning-communication-complexity-and-privacy-1204.3514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-learning-communication-complexity-and-privacy-1204.3514"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-protocols-for-distributed-classification-and-optimization-1204.3523</loc><lastmod>2012-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-protocols-for-distributed-classification-and-optimization-1204.3523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-protocols-for-distributed-classification-and-optimization-1204.3523"/></url>
<url><loc>https://scifaro.com/en/abs/eigengp-sparse-gaussian-process-models-with-data-dependent-eigenfunctions-1204.3972</loc><lastmod>2013-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigengp-sparse-gaussian-process-models-with-data-dependent-eigenfunctions-1204.3972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigengp-sparse-gaussian-process-models-with-data-dependent-eigenfunctions-1204.3972"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-an-optimization-viewpoint-1204.4145</loc><lastmod>2012-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-an-optimization-viewpoint-1204.4145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-an-optimization-viewpoint-1204.4145"/></url>
<url><loc>https://scifaro.com/en/abs/message-passing-with-relaxed-moment-matching-1204.4166</loc><lastmod>2012-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/message-passing-with-relaxed-moment-matching-1204.4166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/message-passing-with-relaxed-moment-matching-1204.4166"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-riemannian-orbifolds-1204.4294</loc><lastmod>2012-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-riemannian-orbifolds-1204.4294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-riemannian-orbifolds-1204.4294"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-feature-evaluation-by-consistency-analysis-application-to-measure-sets-used-to-characterise-geographic-objects-1204.4329</loc><lastmod>2012-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-feature-evaluation-by-consistency-analysis-application-to-measure-sets-used-to-characterise-geographic-objects-1204.4329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-feature-evaluation-by-consistency-analysis-application-to-measure-sets-used-to-characterise-geographic-objects-1204.4329"/></url>
<url><loc>https://scifaro.com/en/abs/a-privacy-aware-bayesian-approach-for-combining-classifier-and-cluster-ensembles-1204.4521</loc><lastmod>2012-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-privacy-aware-bayesian-approach-for-combining-classifier-and-cluster-ensembles-1204.4521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-privacy-aware-bayesian-approach-for-combining-classifier-and-cluster-ensembles-1204.4521"/></url>
<url><loc>https://scifaro.com/en/abs/regret-in-online-combinatorial-optimization-1204.4710</loc><lastmod>2013-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-in-online-combinatorial-optimization-1204.4710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-in-online-combinatorial-optimization-1204.4710"/></url>
<url><loc>https://scifaro.com/en/abs/objective-function-designing-led-by-user-preferences-acquisition-1204.4990</loc><lastmod>2012-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/objective-function-designing-led-by-user-preferences-acquisition-1204.4990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/objective-function-designing-led-by-user-preferences-acquisition-1204.4990"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-operator-learning-and-its-application-to-image-reconstruction-1204.5309</loc><lastmod>2015-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-operator-learning-and-its-application-to-image-reconstruction-1204.5309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-operator-learning-and-its-application-to-image-reconstruction-1204.5309"/></url>
<url><loc>https://scifaro.com/en/abs/regret-analysis-of-stochastic-and-nonstochastic-multi-armed-bandit-problems-1204.5721</loc><lastmod>2012-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-analysis-of-stochastic-and-nonstochastic-multi-armed-bandit-problems-1204.5721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-analysis-of-stochastic-and-nonstochastic-multi-armed-bandit-problems-1204.5721"/></url>
<url><loc>https://scifaro.com/en/abs/quantitative-concept-analysis-1204.5802</loc><lastmod>2023-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantitative-concept-analysis-1204.5802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantitative-concept-analysis-1204.5802"/></url>
<url><loc>https://scifaro.com/en/abs/residual-belief-propagation-for-topic-modeling-1204.6610</loc><lastmod>2013-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-belief-propagation-for-topic-modeling-1204.6610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-belief-propagation-for-topic-modeling-1204.6610"/></url>
<url><loc>https://scifaro.com/en/abs/a-spectral-algorithm-for-latent-dirichlet-allocation-1204.6703</loc><lastmod>2013-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spectral-algorithm-for-latent-dirichlet-allocation-1204.6703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spectral-algorithm-for-latent-dirichlet-allocation-1204.6703"/></url>
<url><loc>https://scifaro.com/en/abs/proppa-a-fast-algorithm-for-ell-1-minimization-and-low-rank-matrix-completion-1205.0088</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proppa-a-fast-algorithm-for-ell-1-minimization-and-low-rank-matrix-completion-1205.0088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proppa-a-fast-algorithm-for-ell-1-minimization-and-low-rank-matrix-completion-1205.0088"/></url>
<url><loc>https://scifaro.com/en/abs/a-randomized-mirror-descent-algorithm-for-large-scale-multiple-kernel-learning-1205.0288</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-randomized-mirror-descent-algorithm-for-large-scale-multiple-kernel-learning-1205.0288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-randomized-mirror-descent-algorithm-for-large-scale-multiple-kernel-learning-1205.0288"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-classifier-for-uncertain-costs-1205.0406</loc><lastmod>2012-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-classifier-for-uncertain-costs-1205.0406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-classifier-for-uncertain-costs-1205.0406"/></url>
<url><loc>https://scifaro.com/en/abs/hypothesis-testing-using-pairwise-distances-and-associated-kernels-with-appendix-1205.0411</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypothesis-testing-using-pairwise-distances-and-associated-kernels-with-appendix-1205.0411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypothesis-testing-using-pairwise-distances-and-associated-kernels-with-appendix-1205.0411"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-multiple-instance-learning-via-codebook-learning-and-nearest-neighbor-voting-1205.0610</loc><lastmod>2012-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-multiple-instance-learning-via-codebook-learning-and-nearest-neighbor-voting-1205.0610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-multiple-instance-learning-via-codebook-learning-and-nearest-neighbor-voting-1205.0610"/></url>
<url><loc>https://scifaro.com/en/abs/variable-selection-for-latent-dirichlet-allocation-1205.1053</loc><lastmod>2012-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-selection-for-latent-dirichlet-allocation-1205.1053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-selection-for-latent-dirichlet-allocation-1205.1053"/></url>
<url><loc>https://scifaro.com/en/abs/the-natural-gradient-by-analogy-to-signal-whitening-and-recipes-and-tricks-for-its-use-1205.1828</loc><lastmod>2012-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-natural-gradient-by-analogy-to-signal-whitening-and-recipes-and-tricks-for-its-use-1205.1828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-natural-gradient-by-analogy-to-signal-whitening-and-recipes-and-tricks-for-its-use-1205.1828"/></url>
<url><loc>https://scifaro.com/en/abs/hamiltonian-annealed-importance-sampling-for-partition-function-estimation-1205.1925</loc><lastmod>2012-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamiltonian-annealed-importance-sampling-for-partition-function-estimation-1205.1925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamiltonian-annealed-importance-sampling-for-partition-function-estimation-1205.1925"/></url>
<url><loc>https://scifaro.com/en/abs/a-converged-algorithm-for-tikhonov-regularized-nonnegative-matrix-factorization-with-automatic-regularization-parameters-determination-1205.2151</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-converged-algorithm-for-tikhonov-regularized-nonnegative-matrix-factorization-with-automatic-regularization-parameters-determination-1205.2151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-converged-algorithm-for-tikhonov-regularized-nonnegative-matrix-factorization-with-automatic-regularization-parameters-determination-1205.2151"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-constrained-regret-minimization-1205.2265</loc><lastmod>2012-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-constrained-regret-minimization-1205.2265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-constrained-regret-minimization-1205.2265"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-approximation-via-penalty-decomposition-methods-1205.2334</loc><lastmod>2012-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-approximation-via-penalty-decomposition-methods-1205.2334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-approximation-via-penalty-decomposition-methods-1205.2334"/></url>
<url><loc>https://scifaro.com/en/abs/a-uniqueness-theorem-for-clustering-1205.2600</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-uniqueness-theorem-for-clustering-1205.2600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-uniqueness-theorem-for-clustering-1205.2600"/></url>
<url><loc>https://scifaro.com/en/abs/the-entire-quantile-path-of-a-risk-agnostic-svm-classifier-1205.2602</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-entire-quantile-path-of-a-risk-agnostic-svm-classifier-1205.2602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-entire-quantile-path-of-a-risk-agnostic-svm-classifier-1205.2602"/></url>
<url><loc>https://scifaro.com/en/abs/herding-dynamic-weights-for-partially-observed-random-field-models-1205.2605</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/herding-dynamic-weights-for-partially-observed-random-field-models-1205.2605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/herding-dynamic-weights-for-partially-observed-random-field-models-1205.2605"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-compact-reinforcement-learning-representations-with-linear-regression-1205.2606</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-compact-reinforcement-learning-representations-with-linear-regression-1205.2606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-compact-reinforcement-learning-representations-with-linear-regression-1205.2606"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-difference-networks-for-dynamical-systems-with-continuous-observations-and-actions-1205.2608</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-difference-networks-for-dynamical-systems-with-continuous-observations-and-actions-1205.2608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-difference-networks-for-dynamical-systems-with-continuous-observations-and-actions-1205.2608"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-structured-predictors-1205.2610</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-structured-predictors-1205.2610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-structured-predictors-1205.2610"/></url>
<url><loc>https://scifaro.com/en/abs/computing-posterior-probabilities-of-structural-features-in-bayesian-networks-1205.2612</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-posterior-probabilities-of-structural-features-in-bayesian-networks-1205.2612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-posterior-probabilities-of-structural-features-in-bayesian-networks-1205.2612"/></url>
<url><loc>https://scifaro.com/en/abs/products-of-hidden-markov-models-it-takes-n-1-to-tango-1205.2614</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/products-of-hidden-markov-models-it-takes-n-1-to-tango-1205.2614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/products-of-hidden-markov-models-it-takes-n-1-to-tango-1205.2614"/></url>
<url><loc>https://scifaro.com/en/abs/using-the-gene-ontology-hierarchy-when-predicting-gene-function-1205.2622</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-the-gene-ontology-hierarchy-when-predicting-gene-function-1205.2622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-the-gene-ontology-hierarchy-when-predicting-gene-function-1205.2622"/></url>
<url><loc>https://scifaro.com/en/abs/virtual-vector-machine-for-bayesian-online-classification-1205.2623</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/virtual-vector-machine-for-bayesian-online-classification-1205.2623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/virtual-vector-machine-for-bayesian-online-classification-1205.2623"/></url>
<url><loc>https://scifaro.com/en/abs/domain-knowledge-uncertainty-and-probabilistic-parameter-constraints-1205.2627</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-knowledge-uncertainty-and-probabilistic-parameter-constraints-1205.2627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-knowledge-uncertainty-and-probabilistic-parameter-constraints-1205.2627"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-source-adaptation-and-the-renyi-divergence-1205.2628</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-source-adaptation-and-the-renyi-divergence-1205.2628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-source-adaptation-and-the-renyi-divergence-1205.2628"/></url>
<url><loc>https://scifaro.com/en/abs/interpretation-and-generalization-of-score-matching-1205.2629</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretation-and-generalization-of-score-matching-1205.2629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretation-and-generalization-of-score-matching-1205.2629"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-feature-learning-via-efficient-l2-1-norm-minimization-1205.2631</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-feature-learning-via-efficient-l2-1-norm-minimization-1205.2631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-feature-learning-via-efficient-l2-1-norm-minimization-1205.2631"/></url>
<url><loc>https://scifaro.com/en/abs/new-inference-strategies-for-solving-markov-decision-processes-using-reversible-jump-mcmc-1205.2643</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-inference-strategies-for-solving-markov-decision-processes-using-reversible-jump-mcmc-1205.2643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-inference-strategies-for-solving-markov-decision-processes-using-reversible-jump-mcmc-1205.2643"/></url>
<url><loc>https://scifaro.com/en/abs/censored-exploration-and-the-dark-pool-problem-1205.2646</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/censored-exploration-and-the-dark-pool-problem-1205.2646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/censored-exploration-and-the-dark-pool-problem-1205.2646"/></url>
<url><loc>https://scifaro.com/en/abs/correlated-non-parametric-latent-feature-models-1205.2650</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlated-non-parametric-latent-feature-models-1205.2650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlated-non-parametric-latent-feature-models-1205.2650"/></url>
<url><loc>https://scifaro.com/en/abs/l2-regularization-for-learning-kernels-1205.2653</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l2-regularization-for-learning-kernels-1205.2653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l2-regularization-for-learning-kernels-1205.2653"/></url>
<url><loc>https://scifaro.com/en/abs/convex-coding-1205.2656</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-coding-1205.2656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-coding-1205.2656"/></url>
<url><loc>https://scifaro.com/en/abs/alternating-projections-for-learning-with-expectation-constraints-1205.2660</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternating-projections-for-learning-with-expectation-constraints-1205.2660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternating-projections-for-learning-with-expectation-constraints-1205.2660"/></url>
<url><loc>https://scifaro.com/en/abs/regal-a-regularization-based-algorithm-for-reinforcement-learning-in-weakly-communicating-mdps-1205.2661</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regal-a-regularization-based-algorithm-for-reinforcement-learning-in-weakly-communicating-mdps-1205.2661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regal-a-regularization-based-algorithm-for-reinforcement-learning-in-weakly-communicating-mdps-1205.2661"/></url>
<url><loc>https://scifaro.com/en/abs/on-smoothing-and-inference-for-topic-models-1205.2662</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-smoothing-and-inference-for-topic-models-1205.2662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-smoothing-and-inference-for-topic-models-1205.2662"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-sampling-approach-to-exploration-in-reinforcement-learning-1205.2664</loc><lastmod>2012-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-sampling-approach-to-exploration-in-reinforcement-learning-1205.2664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-sampling-approach-to-exploration-in-reinforcement-learning-1205.2664"/></url>
<url><loc>https://scifaro.com/en/abs/decoupling-exploration-and-exploitation-in-multi-armed-bandits-1205.2874</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupling-exploration-and-exploitation-in-multi-armed-bandits-1205.2874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupling-exploration-and-exploitation-in-multi-armed-bandits-1205.2874"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bayes-adaptive-reinforcement-learning-using-sample-based-search-1205.3109</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayes-adaptive-reinforcement-learning-using-sample-based-search-1205.3109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayes-adaptive-reinforcement-learning-using-sample-based-search-1205.3109"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-identifications-in-multi-armed-bandits-1205.3181</loc><lastmod>2012-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-identifications-in-multi-armed-bandits-1205.3181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-identifications-in-multi-armed-bandits-1205.3181"/></url>
<url><loc>https://scifaro.com/en/abs/normalized-maximum-likelihood-coding-for-exponential-family-with-its-applications-to-optimal-clustering-1205.3549</loc><lastmod>2012-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalized-maximum-likelihood-coding-for-exponential-family-with-its-applications-to-optimal-clustering-1205.3549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalized-maximum-likelihood-coding-for-exponential-family-with-its-applications-to-optimal-clustering-1205.3549"/></url>
<url><loc>https://scifaro.com/en/abs/universal-algorithm-for-online-trading-based-on-the-method-of-calibration-1205.3767</loc><lastmod>2014-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-algorithm-for-online-trading-based-on-the-method-of-calibration-1205.3767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-algorithm-for-online-trading-based-on-the-method-of-calibration-1205.3767"/></url>
<url><loc>https://scifaro.com/en/abs/theory-of-dependent-hierarchical-normalized-random-measures-1205.4159</loc><lastmod>2012-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-of-dependent-hierarchical-normalized-random-measures-1205.4159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-of-dependent-hierarchical-normalized-random-measures-1205.4159"/></url>
<url><loc>https://scifaro.com/en/abs/online-structured-prediction-via-coactive-learning-1205.4213</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-structured-prediction-via-coactive-learning-1205.4213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-structured-prediction-via-coactive-learning-1205.4213"/></url>
<url><loc>https://scifaro.com/en/abs/visualization-of-features-of-a-series-of-measurements-with-one-dimensional-cellular-structure-1205.4234</loc><lastmod>2012-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualization-of-features-of-a-series-of-measurements-with-one-dimensional-cellular-structure-1205.4234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualization-of-features-of-a-series-of-measurements-with-one-dimensional-cellular-structure-1205.4234"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-methods-for-unsupervised-learning-of-probabilistic-models-1205.4295</loc><lastmod>2012-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-methods-for-unsupervised-learning-of-probabilistic-models-1205.4295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-methods-for-unsupervised-learning-of-probabilistic-models-1205.4295"/></url>
<url><loc>https://scifaro.com/en/abs/new-analysis-and-algorithm-for-learning-with-drifting-distributions-1205.4343</loc><lastmod>2012-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-analysis-and-algorithm-for-learning-with-drifting-distributions-1205.4343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-analysis-and-algorithm-for-learning-with-drifting-distributions-1205.4343"/></url>
<url><loc>https://scifaro.com/en/abs/from-exact-learning-to-computing-boolean-functions-and-back-again-1205.4349</loc><lastmod>2012-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-exact-learning-to-computing-boolean-functions-and-back-again-1205.4349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-exact-learning-to-computing-boolean-functions-and-back-again-1205.4349"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-algorithms-for-pattern-discovery-over-dynamically-changing-event-sequences-1205.4477</loc><lastmod>2012-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-algorithms-for-pattern-discovery-over-dynamically-changing-event-sequences-1205.4477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-algorithms-for-pattern-discovery-over-dynamically-changing-event-sequences-1205.4477"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-smoothing-for-nonsmooth-minimizations-accelerating-sgd-by-exploiting-structure-1205.4481</loc><lastmod>2012-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-smoothing-for-nonsmooth-minimizations-accelerating-sgd-by-exploiting-structure-1205.4481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-smoothing-for-nonsmooth-minimizations-accelerating-sgd-by-exploiting-structure-1205.4481"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-mean-embeddings-as-regressors-supplementary-1205.4656</loc><lastmod>2012-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-mean-embeddings-as-regressors-supplementary-1205.4656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-mean-embeddings-as-regressors-supplementary-1205.4656"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-weight-shrinking-in-large-margin-perceptron-learning-1205.4698</loc><lastmod>2013-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-weight-shrinking-in-large-margin-perceptron-learning-1205.4698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-weight-shrinking-in-large-margin-perceptron-learning-1205.4698"/></url>
<url><loc>https://scifaro.com/en/abs/safe-exploration-in-markov-decision-processes-1205.4810</loc><lastmod>2012-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-exploration-in-markov-decision-processes-1205.4810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-exploration-in-markov-decision-processes-1205.4810"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-actor-critic-1205.4839</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-actor-critic-1205.4839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-actor-critic-1205.4839"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-is-difficult-only-when-it-does-not-matter-1205.4891</loc><lastmod>2012-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-is-difficult-only-when-it-does-not-matter-1205.4891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-is-difficult-only-when-it-does-not-matter-1205.4891"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-sparse-group-feature-selection-via-nonconvex-optimization-1205.5075</loc><lastmod>2013-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-sparse-group-feature-selection-via-nonconvex-optimization-1205.5075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-sparse-group-feature-selection-via-nonconvex-optimization-1205.5075"/></url>
<url><loc>https://scifaro.com/en/abs/multiclass-learning-approaches-a-theoretical-comparison-with-implications-1205.6432</loc><lastmod>2013-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiclass-learning-approaches-a-theoretical-comparison-with-implications-1205.6432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiclass-learning-approaches-a-theoretical-comparison-with-implications-1205.6432"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-trace-norm-regularization-1206.0333</loc><lastmod>2012-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-trace-norm-regularization-1206.0333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-trace-norm-regularization-1206.0333"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimization-framework-for-semi-supervised-and-transfer-learning-using-multiple-classifiers-and-clusterers-1206.0994</loc><lastmod>2012-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimization-framework-for-semi-supervised-and-transfer-learning-using-multiple-classifiers-and-clusterers-1206.0994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimization-framework-for-semi-supervised-and-transfer-learning-using-multiple-classifiers-and-clusterers-1206.0994"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-the-c4-5-and-a-naive-bayes-classifier-for-the-prediction-of-lung-cancer-survivability-1206.1121</loc><lastmod>2012-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-the-c4-5-and-a-naive-bayes-classifier-for-the-prediction-of-lung-cancer-survivability-1206.1121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-the-c4-5-and-a-naive-bayes-classifier-for-the-prediction-of-lung-cancer-survivability-1206.1121"/></url>
<url><loc>https://scifaro.com/en/abs/memory-efficient-topic-modeling-1206.1147</loc><lastmod>2012-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-efficient-topic-modeling-1206.1147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-efficient-topic-modeling-1206.1147"/></url>
<url><loc>https://scifaro.com/en/abs/cumulative-step-size-adaptation-on-linear-functions-technical-report-1206.1208</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cumulative-step-size-adaptation-on-linear-functions-technical-report-1206.1208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cumulative-step-size-adaptation-on-linear-functions-technical-report-1206.1208"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-projections-onto-the-simplex-1206.1529</loc><lastmod>2013-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-projections-onto-the-simplex-1206.1529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-projections-onto-the-simplex-1206.1529"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-parallel-belief-propagation-for-latent-dirichlet-allocation-1206.2190</loc><lastmod>2012-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-parallel-belief-propagation-for-latent-dirichlet-allocation-1206.2190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-parallel-belief-propagation-for-latent-dirichlet-allocation-1206.2190"/></url>
<url><loc>https://scifaro.com/en/abs/fast-cross-validation-via-sequential-testing-1206.2248</loc><lastmod>2016-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-cross-validation-via-sequential-testing-1206.2248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-cross-validation-via-sequential-testing-1206.2248"/></url>
<url><loc>https://scifaro.com/en/abs/ids-an-incremental-learning-algorithm-for-finite-automata-1206.2691</loc><lastmod>2012-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ids-an-incremental-learning-algorithm-for-finite-automata-1206.2691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ids-an-incremental-learning-algorithm-for-finite-automata-1206.2691"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-consistency-of-finite-dimensional-unregularized-linear-classification-1206.3072</loc><lastmod>2012-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-consistency-of-finite-dimensional-unregularized-linear-classification-1206.3072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-consistency-of-finite-dimensional-unregularized-linear-classification-1206.3072"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-distributed-learning-based-on-diffusion-adaptation-1206.3099</loc><lastmod>2015-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-distributed-learning-based-on-diffusion-adaptation-1206.3099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-distributed-learning-based-on-diffusion-adaptation-1206.3099"/></url>
<url><loc>https://scifaro.com/en/abs/improved-spectral-norm-bounds-for-clustering-1206.3204</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-spectral-norm-bounds-for-clustering-1206.3204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-spectral-norm-bounds-for-clustering-1206.3204"/></url>
<url><loc>https://scifaro.com/en/abs/corl-a-continuous-state-offset-dynamics-reinforcement-learner-1206.3231</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/corl-a-continuous-state-offset-dynamics-reinforcement-learner-1206.3231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/corl-a-continuous-state-offset-dynamics-reinforcement-learner-1206.3231"/></url>
<url><loc>https://scifaro.com/en/abs/learning-inclusion-optimal-chordal-graphs-1206.3236</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-inclusion-optimal-chordal-graphs-1206.3236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-inclusion-optimal-chordal-graphs-1206.3236"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-block-coordinate-descent-for-large-scale-gaussian-process-regression-1206.3238</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-block-coordinate-descent-for-large-scale-gaussian-process-regression-1206.3238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-block-coordinate-descent-for-large-scale-gaussian-process-regression-1206.3238"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-the-partition-function-by-deleting-and-then-correcting-for-model-edges-1206.3241</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-the-partition-function-by-deleting-and-then-correcting-for-model-edges-1206.3241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-the-partition-function-by-deleting-and-then-correcting-for-model-edges-1206.3241"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-learning-in-the-presence-of-view-disagreement-1206.3242</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-learning-in-the-presence-of-view-disagreement-1206.3242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-learning-in-the-presence-of-view-disagreement-1206.3242"/></url>
<url><loc>https://scifaro.com/en/abs/bounds-on-the-bethe-free-energy-for-gaussian-networks-1206.3243</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounds-on-the-bethe-free-energy-for-gaussian-networks-1206.3243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounds-on-the-bethe-free-energy-for-gaussian-networks-1206.3243"/></url>
<url><loc>https://scifaro.com/en/abs/learning-convex-inference-of-marginals-1206.3247</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-convex-inference-of-marginals-1206.3247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-convex-inference-of-marginals-1206.3247"/></url>
<url><loc>https://scifaro.com/en/abs/projected-subgradient-methods-for-learning-sparse-gaussians-1206.3249</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projected-subgradient-methods-for-learning-sparse-gaussians-1206.3249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projected-subgradient-methods-for-learning-sparse-gaussians-1206.3249"/></url>
<url><loc>https://scifaro.com/en/abs/convex-point-estimation-using-undirected-bayesian-transfer-hierarchies-1206.3252</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-point-estimation-using-undirected-bayesian-transfer-hierarchies-1206.3252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-point-estimation-using-undirected-bayesian-transfer-hierarchies-1206.3252"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-learning-over-structured-and-non-identical-outputs-1206.3256</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-learning-over-structured-and-non-identical-outputs-1206.3256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-learning-over-structured-and-non-identical-outputs-1206.3256"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-approximate-maximum-entropy-learning-of-markov-random-fields-1206.3257</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-approximate-maximum-entropy-learning-of-markov-random-fields-1206.3257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-approximate-maximum-entropy-learning-of-markov-random-fields-1206.3257"/></url>
<url><loc>https://scifaro.com/en/abs/cumulative-distribution-networks-and-the-derivative-sum-product-algorithm-1206.3259</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cumulative-distribution-networks-and-the-derivative-sum-product-algorithm-1206.3259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cumulative-distribution-networks-and-the-derivative-sum-product-algorithm-1206.3259"/></url>
<url><loc>https://scifaro.com/en/abs/convergent-message-passing-algorithms-for-inference-over-general-graphs-with-convex-free-energies-1206.3262</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergent-message-passing-algorithms-for-inference-over-general-graphs-with-convex-free-energies-1206.3262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergent-message-passing-algorithms-for-inference-over-general-graphs-with-convex-free-energies-1206.3262"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-out-trees-1206.3269</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-out-trees-1206.3269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-out-trees-1206.3269"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-and-clustering-with-infinite-rankings-1206.3270</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-and-clustering-with-infinite-rankings-1206.3270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-and-clustering-with-infinite-rankings-1206.3270"/></url>
<url><loc>https://scifaro.com/en/abs/small-sample-inference-for-generalization-error-in-classification-using-the-cud-bound-1206.3274</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-sample-inference-for-generalization-error-in-classification-using-the-cud-bound-1206.3274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-sample-inference-for-generalization-error-in-classification-using-the-cud-bound-1206.3274"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hidden-markov-models-for-regression-using-path-aggregation-1206.3275</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hidden-markov-models-for-regression-using-path-aggregation-1206.3275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hidden-markov-models-for-regression-using-path-aggregation-1206.3275"/></url>
<url><loc>https://scifaro.com/en/abs/the-phylogenetic-indian-buffet-process-a-non-exchangeable-nonparametric-prior-for-latent-features-1206.3279</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-phylogenetic-indian-buffet-process-a-non-exchangeable-nonparametric-prior-for-latent-features-1206.3279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-phylogenetic-indian-buffet-process-a-non-exchangeable-nonparametric-prior-for-latent-features-1206.3279"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-bayesian-network-structure-dirichlet-prior-versus-data-1206.3287</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-bayesian-network-structure-dirichlet-prior-versus-data-1206.3287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-bayesian-network-structure-dirichlet-prior-versus-data-1206.3287"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-local-and-global-phenomena-with-sparse-gaussian-processes-1206.3290</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-local-and-global-phenomena-with-sparse-gaussian-processes-1206.3290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-local-and-global-phenomena-with-sparse-gaussian-processes-1206.3290"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-priors-for-exemplar-based-clustering-1206.3294</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-priors-for-exemplar-based-clustering-1206.3294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-priors-for-exemplar-based-clustering-1206.3294"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-variational-gibbs-collapsed-inference-in-topic-models-1206.3297</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-variational-gibbs-collapsed-inference-in-topic-models-1206.3297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-variational-gibbs-collapsed-inference-in-topic-models-1206.3297"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-approach-for-protein-structure-prediction-1206.3509</loc><lastmod>2012-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-approach-for-protein-structure-prediction-1206.3509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-approach-for-protein-structure-prediction-1206.3509"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-adaptation-of-brain-machine-interface-decoders-1206.3666</loc><lastmod>2012-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-adaptation-of-brain-machine-interface-decoders-1206.3666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-adaptation-of-brain-machine-interface-decoders-1206.3666"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-structure-and-parameters-of-large-population-graphical-games-from-behavioral-data-1206.3713</loc><lastmod>2016-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-structure-and-parameters-of-large-population-graphical-games-from-behavioral-data-1206.3713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-structure-and-parameters-of-large-population-graphical-games-from-behavioral-data-1206.3713"/></url>
<url><loc>https://scifaro.com/en/abs/constraint-free-graphical-model-with-fast-learning-algorithm-1206.3721</loc><lastmod>2012-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constraint-free-graphical-model-with-fast-learning-algorithm-1206.3721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constraint-free-graphical-model-with-fast-learning-algorithm-1206.3721"/></url>
<url><loc>https://scifaro.com/en/abs/danco-dimensionality-from-angle-and-norm-concentration-1206.3881</loc><lastmod>2012-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/danco-dimensionality-from-angle-and-norm-concentration-1206.3881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/danco-dimensionality-from-angle-and-norm-concentration-1206.3881"/></url>
<url><loc>https://scifaro.com/en/abs/a-linear-approximation-to-the-chi-2-kernel-with-geometric-convergence-1206.4074</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-linear-approximation-to-the-chi-2-kernel-with-geometric-convergence-1206.4074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-linear-approximation-to-the-chi-2-kernel-with-geometric-convergence-1206.4074"/></url>
<url><loc>https://scifaro.com/en/abs/conerank-ranking-as-learning-generalized-inequalities-1206.4110</loc><lastmod>2012-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conerank-ranking-as-learning-generalized-inequalities-1206.4110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conerank-ranking-as-learning-generalized-inequalities-1206.4110"/></url>
<url><loc>https://scifaro.com/en/abs/clustered-bandits-1206.4169</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustered-bandits-1206.4169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustered-bandits-1206.4169"/></url>
<url><loc>https://scifaro.com/en/abs/residual-component-analysis-generalising-pca-for-more-flexible-inference-in-linear-gaussian-models-1206.4560</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-component-analysis-generalising-pca-for-more-flexible-inference-in-linear-gaussian-models-1206.4560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-component-analysis-generalising-pca-for-more-flexible-inference-in-linear-gaussian-models-1206.4560"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-robust-classification-model-1206.4599</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-robust-classification-model-1206.4599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-robust-classification-model-1206.4599"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonexhaustive-learning-for-online-discovery-and-modeling-of-emerging-classes-1206.4600</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonexhaustive-learning-for-online-discovery-and-modeling-of-emerging-classes-1206.4600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonexhaustive-learning-for-online-discovery-and-modeling-of-emerging-classes-1206.4600"/></url>
<url><loc>https://scifaro.com/en/abs/convex-multitask-learning-with-flexible-task-clusters-1206.4601</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-multitask-learning-with-flexible-task-clusters-1206.4601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-multitask-learning-with-flexible-task-clusters-1206.4601"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-experts-for-online-sequence-prediction-1206.4604</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-experts-for-online-sequence-prediction-1206.4604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-experts-for-online-sequence-prediction-1206.4604"/></url>
<url><loc>https://scifaro.com/en/abs/truelabel-confusions-a-spectrum-of-probabilistic-models-in-analyzing-multiple-ratings-1206.4606</loc><lastmod>2012-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truelabel-confusions-a-spectrum-of-probabilistic-models-in-analyzing-multiple-ratings-1206.4606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truelabel-confusions-a-spectrum-of-probabilistic-models-in-analyzing-multiple-ratings-1206.4606"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-tree-kernels-1206.4607</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-tree-kernels-1206.4607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-tree-kernels-1206.4607"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-algorithm-for-convex-semidefinite-optimization-1206.4608</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-algorithm-for-convex-semidefinite-optimization-1206.4608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-algorithm-for-convex-semidefinite-optimization-1206.4608"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-relevance-determination-1206.4610</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-relevance-determination-1206.4610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-relevance-determination-1206.4610"/></url>
<url><loc>https://scifaro.com/en/abs/a-convex-feature-learning-formulation-for-latent-task-structure-discovery-1206.4611</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convex-feature-learning-formulation-for-latent-task-structure-discovery-1206.4611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convex-feature-learning-formulation-for-latent-task-structure-discovery-1206.4611"/></url>
<url><loc>https://scifaro.com/en/abs/exact-soft-confidence-weighted-learning-1206.4612</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-soft-confidence-weighted-learning-1206.4612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-soft-confidence-weighted-learning-1206.4612"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-semi-supervised-metric-learning-via-entropy-regularization-1206.4614</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-semi-supervised-metric-learning-via-entropy-regularization-1206.4614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-semi-supervised-metric-learning-via-entropy-regularization-1206.4614"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-inverse-optimal-control-with-locally-optimal-examples-1206.4617</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-inverse-optimal-control-with-locally-optimal-examples-1206.4617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-inverse-optimal-control-with-locally-optimal-examples-1206.4617"/></url>
<url><loc>https://scifaro.com/en/abs/compact-hyperplane-hashing-with-bilinear-functions-1206.4618</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compact-hyperplane-hashing-with-bilinear-functions-1206.4618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compact-hyperplane-hashing-with-bilinear-functions-1206.4618"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-kernel-low-rank-decomposition-with-priors-a-generalized-nystrom-method-1206.4619</loc><lastmod>2012-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-kernel-low-rank-decomposition-with-priors-a-generalized-nystrom-method-1206.4619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-kernel-low-rank-decomposition-with-priors-a-generalized-nystrom-method-1206.4619"/></url>
<url><loc>https://scifaro.com/en/abs/improved-information-gain-estimates-for-decision-tree-induction-1206.4620</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-information-gain-estimates-for-decision-tree-induction-1206.4620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-information-gain-estimates-for-decision-tree-induction-1206.4620"/></url>
<url><loc>https://scifaro.com/en/abs/path-integral-policy-improvement-with-covariance-matrix-adaptation-1206.4621</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/path-integral-policy-improvement-with-covariance-matrix-adaptation-1206.4621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/path-integral-policy-improvement-with-covariance-matrix-adaptation-1206.4621"/></url>
<url><loc>https://scifaro.com/en/abs/a-graphical-model-formulation-of-collaborative-filtering-neighbourhood-methods-with-fast-maximum-entropy-training-1206.4622</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-graphical-model-formulation-of-collaborative-filtering-neighbourhood-methods-with-fast-maximum-entropy-training-1206.4622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-graphical-model-formulation-of-collaborative-filtering-neighbourhood-methods-with-fast-maximum-entropy-training-1206.4622"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-size-of-the-online-kernel-sparsification-dictionary-1206.4623</loc><lastmod>2019-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-size-of-the-online-kernel-sparsification-dictionary-1206.4623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-size-of-the-online-kernel-sparsification-dictionary-1206.4623"/></url>
<url><loc>https://scifaro.com/en/abs/robust-multiple-manifolds-structure-learning-1206.4624</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-multiple-manifolds-structure-learning-1206.4624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-multiple-manifolds-structure-learning-1206.4624"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-f-measure-a-tale-of-two-approaches-1206.4625</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-f-measure-a-tale-of-two-approaches-1206.4625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-f-measure-a-tale-of-two-approaches-1206.4625"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rates-of-biased-stochastic-optimization-for-learning-sparse-ising-models-1206.4627</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rates-of-biased-stochastic-optimization-for-learning-sparse-ising-models-1206.4627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rates-of-biased-stochastic-optimization-for-learning-sparse-ising-models-1206.4627"/></url>
<url><loc>https://scifaro.com/en/abs/robust-pca-in-high-dimension-a-deterministic-approach-1206.4628</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-pca-in-high-dimension-a-deterministic-approach-1206.4628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-pca-in-high-dimension-a-deterministic-approach-1206.4628"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-kernel-learning-from-noisy-labels-by-stochastic-programming-1206.4629</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-kernel-learning-from-noisy-labels-by-stochastic-programming-1206.4629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-kernel-learning-from-noisy-labels-by-stochastic-programming-1206.4629"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-decomposed-learning-for-structured-prediction-1206.4630</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-decomposed-learning-for-structured-prediction-1206.4630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-decomposed-learning-for-structured-prediction-1206.4630"/></url>
<url><loc>https://scifaro.com/en/abs/a-poisson-convolution-model-for-characterizing-topical-content-with-word-frequency-and-exclusivity-1206.4631</loc><lastmod>2014-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-poisson-convolution-model-for-characterizing-topical-content-with-word-frequency-and-exclusivity-1206.4631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-poisson-convolution-model-for-characterizing-topical-content-with-word-frequency-and-exclusivity-1206.4631"/></url>
<url><loc>https://scifaro.com/en/abs/a-complete-analysis-of-the-l-1-p-group-lasso-1206.4632</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-complete-analysis-of-the-l-1-p-group-lasso-1206.4632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-complete-analysis-of-the-l-1-p-group-lasso-1206.4632"/></url>
<url><loc>https://scifaro.com/en/abs/fast-bounded-online-gradient-descent-algorithms-for-scalable-kernel-based-online-learning-1206.4633</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-bounded-online-gradient-descent-algorithms-for-scalable-kernel-based-online-learning-1206.4633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-bounded-online-gradient-descent-algorithms-for-scalable-kernel-based-online-learning-1206.4633"/></url>
<url><loc>https://scifaro.com/en/abs/artist-agent-a-reinforcement-learning-approach-to-automatic-stroke-generation-in-oriental-ink-painting-1206.4634</loc><lastmod>2015-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artist-agent-a-reinforcement-learning-approach-to-automatic-stroke-generation-in-oriental-ink-painting-1206.4634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artist-agent-a-reinforcement-learning-approach-to-automatic-stroke-generation-in-oriental-ink-painting-1206.4634"/></url>
<url><loc>https://scifaro.com/en/abs/deep-mixtures-of-factor-analysers-1206.4635</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-mixtures-of-factor-analysers-1206.4635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-mixtures-of-factor-analysers-1206.4635"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-latent-variable-uncertainty-for-loss-based-learning-1206.4636</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-latent-variable-uncertainty-for-loss-based-learning-1206.4636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-latent-variable-uncertainty-for-loss-based-learning-1206.4636"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-identify-regular-expressions-that-describe-email-campaigns-1206.4637</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-identify-regular-expressions-that-describe-email-campaigns-1206.4637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-identify-regular-expressions-that-describe-email-campaigns-1206.4637"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-euclidean-projections-onto-the-intersection-of-norm-balls-1206.4638</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-euclidean-projections-onto-the-intersection-of-norm-balls-1206.4638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-euclidean-projections-onto-the-intersection-of-norm-balls-1206.4638"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-regularization-for-weight-matrices-1206.4639</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-regularization-for-weight-matrices-1206.4639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-regularization-for-weight-matrices-1206.4639"/></url>
<url><loc>https://scifaro.com/en/abs/total-variation-and-euler-s-elastica-for-supervised-learning-1206.4641</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/total-variation-and-euler-s-elastica-for-supervised-learning-1206.4641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/total-variation-and-euler-s-elastica-for-supervised-learning-1206.4641"/></url>
<url><loc>https://scifaro.com/en/abs/lightning-does-not-strike-twice-robust-mdps-with-coupled-uncertainty-1206.4643</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lightning-does-not-strike-twice-robust-mdps-with-coupled-uncertainty-1206.4643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lightning-does-not-strike-twice-robust-mdps-with-coupled-uncertainty-1206.4643"/></url>
<url><loc>https://scifaro.com/en/abs/groupwise-constrained-reconstruction-for-subspace-clustering-1206.4644</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/groupwise-constrained-reconstruction-for-subspace-clustering-1206.4644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/groupwise-constrained-reconstruction-for-subspace-clustering-1206.4644"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-methods-for-convex-regression-with-applications-to-geometric-programming-based-circuit-design-1206.4645</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-methods-for-convex-regression-with-applications-to-geometric-programming-based-circuit-design-1206.4645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-methods-for-convex-regression-with-applications-to-geometric-programming-based-circuit-design-1206.4645"/></url>
<url><loc>https://scifaro.com/en/abs/partial-hessian-strategies-for-fast-learning-of-nonlinear-embeddings-1206.4646</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-hessian-strategies-for-fast-learning-of-nonlinear-embeddings-1206.4646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-hessian-strategies-for-fast-learning-of-nonlinear-embeddings-1206.4646"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-matching-problems-1206.4647</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-matching-problems-1206.4647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-matching-problems-1206.4647"/></url>
<url><loc>https://scifaro.com/en/abs/two-manifold-problems-with-applications-to-nonlinear-system-identification-1206.4648</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-manifold-problems-with-applications-to-nonlinear-system-identification-1206.4648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-manifold-problems-with-applications-to-nonlinear-system-identification-1206.4648"/></url>
<url><loc>https://scifaro.com/en/abs/learning-efficient-structured-sparse-models-1206.4649</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-efficient-structured-sparse-models-1206.4649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-efficient-structured-sparse-models-1206.4649"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-kernel-mean-matching-under-covariate-shift-1206.4650</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-kernel-mean-matching-under-covariate-shift-1206.4650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-kernel-mean-matching-under-covariate-shift-1206.4650"/></url>
<url><loc>https://scifaro.com/en/abs/is-margin-preserved-after-random-projection-1206.4651</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-margin-preserved-after-random-projection-1206.4651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-margin-preserved-after-random-projection-1206.4651"/></url>
<url><loc>https://scifaro.com/en/abs/the-most-persistent-soft-clique-in-a-set-of-sampled-graphs-1206.4652</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-most-persistent-soft-clique-in-a-set-of-sampled-graphs-1206.4652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-most-persistent-soft-clique-in-a-set-of-sampled-graphs-1206.4652"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-reduction-by-local-discriminative-gaussians-1206.4653</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-reduction-by-local-discriminative-gaussians-1206.4653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-reduction-by-local-discriminative-gaussians-1206.4653"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-transition-dynamics-in-mdps-with-rkhs-embeddings-1206.4655</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-transition-dynamics-in-mdps-with-rkhs-embeddings-1206.4655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-transition-dynamics-in-mdps-with-rkhs-embeddings-1206.4655"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-that-matters-1206.4656</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-that-matters-1206.4656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-that-matters-1206.4656"/></url>
<url><loc>https://scifaro.com/en/abs/projection-free-online-learning-1206.4657</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projection-free-online-learning-1206.4657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projection-free-online-learning-1206.4657"/></url>
<url><loc>https://scifaro.com/en/abs/dirichlet-process-with-mixed-random-measures-a-nonparametric-topic-model-for-labeled-data-1206.4658</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dirichlet-process-with-mixed-random-measures-a-nonparametric-topic-model-for-labeled-data-1206.4658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dirichlet-process-with-mixed-random-measures-a-nonparametric-topic-model-for-labeled-data-1206.4658"/></url>
<url><loc>https://scifaro.com/en/abs/max-margin-nonparametric-latent-feature-models-for-link-prediction-1206.4659</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-margin-nonparametric-latent-feature-models-for-link-prediction-1206.4659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-margin-nonparametric-latent-feature-models-for-link-prediction-1206.4659"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-augmented-features-for-heterogeneous-domain-adaptation-1206.4660</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-augmented-features-for-heterogeneous-domain-adaptation-1206.4660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-augmented-features-for-heterogeneous-domain-adaptation-1206.4660"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-accurate-probabilities-with-a-ranking-loss-1206.4661</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-accurate-probabilities-with-a-ranking-loss-1206.4661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-accurate-probabilities-with-a-ranking-loss-1206.4661"/></url>
<url><loc>https://scifaro.com/en/abs/the-convexity-and-design-of-composite-multiclass-losses-1206.4663</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-convexity-and-design-of-composite-multiclass-losses-1206.4663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-convexity-and-design-of-composite-multiclass-losses-1206.4663"/></url>
<url><loc>https://scifaro.com/en/abs/tighter-variational-representations-of-f-divergences-via-restriction-to-probability-measures-1206.4664</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tighter-variational-representations-of-f-divergences-via-restriction-to-probability-measures-1206.4664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tighter-variational-representations-of-f-divergences-via-restriction-to-probability-measures-1206.4664"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-variational-inference-1206.4665</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-variational-inference-1206.4665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-variational-inference-1206.4665"/></url>
<url><loc>https://scifaro.com/en/abs/unachievable-region-in-precision-recall-space-and-its-effect-on-empirical-evaluation-1206.4667</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unachievable-region-in-precision-recall-space-and-its-effect-on-empirical-evaluation-1206.4667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unachievable-region-in-precision-recall-space-and-its-effect-on-empirical-evaluation-1206.4667"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-principal-direction-trees-1206.4668</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-principal-direction-trees-1206.4668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-principal-direction-trees-1206.4668"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-additive-functional-and-kernel-cca-1206.4669</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-additive-functional-and-kernel-cca-1206.4669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-additive-functional-and-kernel-cca-1206.4669"/></url>
<url><loc>https://scifaro.com/en/abs/dependent-hierarchical-normalized-random-measures-for-dynamic-topic-modeling-1206.4671</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dependent-hierarchical-normalized-random-measures-for-dynamic-topic-modeling-1206.4671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dependent-hierarchical-normalized-random-measures-for-dynamic-topic-modeling-1206.4671"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-active-algorithms-for-hierarchical-clustering-1206.4672</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-active-algorithms-for-hierarchical-clustering-1206.4672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-active-algorithms-for-hierarchical-clustering-1206.4672"/></url>
<url><loc>https://scifaro.com/en/abs/group-sparse-additive-models-1206.4673</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-sparse-additive-models-1206.4673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-sparse-additive-models-1206.4673"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-based-learning-with-rank-nets-1206.4674</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-based-learning-with-rank-nets-1206.4674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-based-learning-with-rank-nets-1206.4674"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-by-low-rank-doubly-stochastic-matrix-decomposition-1206.4676</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-by-low-rank-doubly-stochastic-matrix-decomposition-1206.4676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-by-low-rank-doubly-stochastic-matrix-decomposition-1206.4676"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-of-class-balance-under-class-prior-change-by-distribution-matching-1206.4677</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-of-class-balance-under-class-prior-change-by-distribution-matching-1206.4677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-of-class-balance-under-class-prior-change-by-distribution-matching-1206.4677"/></url>
<url><loc>https://scifaro.com/en/abs/linear-regression-with-limited-observation-1206.4678</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-regression-with-limited-observation-1206.4678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-regression-with-limited-observation-1206.4678"/></url>
<url><loc>https://scifaro.com/en/abs/factorized-asymptotic-bayesian-hidden-markov-models-1206.4679</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factorized-asymptotic-bayesian-hidden-markov-models-1206.4679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factorized-asymptotic-bayesian-hidden-markov-models-1206.4679"/></url>
<url><loc>https://scifaro.com/en/abs/fast-prediction-of-new-feature-utility-1206.4680</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-prediction-of-new-feature-utility-1206.4680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-prediction-of-new-feature-utility-1206.4680"/></url>
<url><loc>https://scifaro.com/en/abs/lpqp-for-map-putting-lp-solvers-to-better-use-1206.4681</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lpqp-for-map-putting-lp-solvers-to-better-use-1206.4681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lpqp-for-map-putting-lp-solvers-to-better-use-1206.4681"/></url>
<url><loc>https://scifaro.com/en/abs/copula-based-kernel-dependency-measures-1206.4682</loc><lastmod>2019-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copula-based-kernel-dependency-measures-1206.4682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copula-based-kernel-dependency-measures-1206.4682"/></url>
<url><loc>https://scifaro.com/en/abs/marginalized-denoising-autoencoders-for-domain-adaptation-1206.4683</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginalized-denoising-autoencoders-for-domain-adaptation-1206.4683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginalized-denoising-autoencoders-for-domain-adaptation-1206.4683"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-probabilistic-prototype-learning-1206.4686</loc><lastmod>2012-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-probabilistic-prototype-learning-1206.4686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-probabilistic-prototype-learning-1206.4686"/></url>
<url><loc>https://scifaro.com/en/abs/feature-extraction-in-protein-sequences-classification-a-new-stability-measure-1206.4822</loc><lastmod>2016-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-extraction-in-protein-sequences-classification-a-new-stability-measure-1206.4822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-extraction-in-protein-sequences-classification-a-new-stability-measure-1206.4822"/></url>
<url><loc>https://scifaro.com/en/abs/the-robustness-and-super-robustness-of-l-p-estimation-when-p-1-1206.5057</loc><lastmod>2012-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-robustness-and-super-robustness-of-l-p-estimation-when-p-1-1206.5057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-robustness-and-super-robustness-of-l-p-estimation-when-p-1-1206.5057"/></url>
<url><loc>https://scifaro.com/en/abs/fast-variational-inference-in-the-conjugate-exponential-family-1206.5162</loc><lastmod>2012-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-variational-inference-in-the-conjugate-exponential-family-1206.5162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-variational-inference-in-the-conjugate-exponential-family-1206.5162"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-semi-supervised-learning-with-the-yarowsky-algorithm-1206.5240</loc><lastmod>2012-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-semi-supervised-learning-with-the-yarowsky-algorithm-1206.5240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-semi-supervised-learning-with-the-yarowsky-algorithm-1206.5240"/></url>
<url><loc>https://scifaro.com/en/abs/shift-invariance-sparse-coding-for-audio-classification-1206.5241</loc><lastmod>2012-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shift-invariance-sparse-coding-for-audio-classification-1206.5241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shift-invariance-sparse-coding-for-audio-classification-1206.5241"/></url>
<url><loc>https://scifaro.com/en/abs/convergent-propagation-algorithms-via-oriented-trees-1206.5243</loc><lastmod>2012-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergent-propagation-algorithms-via-oriented-trees-1206.5243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergent-propagation-algorithms-via-oriented-trees-1206.5243"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-structure-learning-using-dynamic-programming-and-mcmc-1206.5247</loc><lastmod>2012-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-structure-learning-using-dynamic-programming-and-mcmc-1206.5247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-structure-learning-using-dynamic-programming-and-mcmc-1206.5247"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-translation-heat-kernels-and-expected-distances-1206.5248</loc><lastmod>2012-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-translation-heat-kernels-and-expected-distances-1206.5248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-translation-heat-kernels-and-expected-distances-1206.5248"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-of-parents-maximum-entropy-markov-models-1206.5261</loc><lastmod>2012-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-of-parents-maximum-entropy-markov-models-1206.5261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-of-parents-maximum-entropy-markov-models-1206.5261"/></url>
<url><loc>https://scifaro.com/en/abs/apprenticeship-learning-using-inverse-reinforcement-learning-and-gradient-methods-1206.5264</loc><lastmod>2012-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/apprenticeship-learning-using-inverse-reinforcement-learning-and-gradient-methods-1206.5264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/apprenticeship-learning-using-inverse-reinforcement-learning-and-gradient-methods-1206.5264"/></url>
<url><loc>https://scifaro.com/en/abs/consensus-ranking-under-the-exponential-model-1206.5265</loc><lastmod>2012-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consensus-ranking-under-the-exponential-model-1206.5265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consensus-ranking-under-the-exponential-model-1206.5265"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-filtering-and-the-missing-at-random-assumption-1206.5267</loc><lastmod>2012-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-filtering-and-the-missing-at-random-assumption-1206.5267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-filtering-and-the-missing-at-random-assumption-1206.5267"/></url>
<url><loc>https://scifaro.com/en/abs/on-discarding-caching-and-recalling-samples-in-active-learning-1206.5274</loc><lastmod>2012-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-discarding-caching-and-recalling-samples-in-active-learning-1206.5274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-discarding-caching-and-recalling-samples-in-active-learning-1206.5274"/></url>
<url><loc>https://scifaro.com/en/abs/learning-selectively-conditioned-forest-structures-with-applications-to-dbns-and-classification-1206.5281</loc><lastmod>2012-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-selectively-conditioned-forest-structures-with-applications-to-dbns-and-classification-1206.5281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-selectively-conditioned-forest-structures-with-applications-to-dbns-and-classification-1206.5281"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-active-distance-metric-learning-1206.5283</loc><lastmod>2012-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-active-distance-metric-learning-1206.5283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-active-distance-metric-learning-1206.5283"/></url>
<url><loc>https://scifaro.com/en/abs/imitation-learning-with-a-value-based-prior-1206.5290</loc><lastmod>2012-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitation-learning-with-a-value-based-prior-1206.5290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitation-learning-with-a-value-based-prior-1206.5290"/></url>
<url><loc>https://scifaro.com/en/abs/improved-dynamic-schedules-for-belief-propagation-1206.5291</loc><lastmod>2012-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-dynamic-schedules-for-belief-propagation-1206.5291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-dynamic-schedules-for-belief-propagation-1206.5291"/></url>
<url><loc>https://scifaro.com/en/abs/on-sensitivity-of-the-map-bayesian-network-structure-to-the-equivalent-sample-size-parameter-1206.5293</loc><lastmod>2012-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-sensitivity-of-the-map-bayesian-network-structure-to-the-equivalent-sample-size-parameter-1206.5293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-sensitivity-of-the-map-bayesian-network-structure-to-the-equivalent-sample-size-parameter-1206.5293"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-pricing-under-finite-space-demand-uncertainty-a-multi-armed-bandit-with-dependent-arms-1206.5345</loc><lastmod>2012-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-pricing-under-finite-space-demand-uncertainty-a-multi-armed-bandit-with-dependent-arms-1206.5345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-pricing-under-finite-space-demand-uncertainty-a-multi-armed-bandit-with-dependent-arms-1206.5345"/></url>
<url><loc>https://scifaro.com/en/abs/provable-ica-with-unknown-gaussian-noise-and-implications-for-gaussian-mixtures-and-autoencoders-1206.5349</loc><lastmod>2012-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-ica-with-unknown-gaussian-noise-and-implications-for-gaussian-mixtures-and-autoencoders-1206.5349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-ica-with-unknown-gaussian-noise-and-implications-for-gaussian-mixtures-and-autoencoders-1206.5349"/></url>
<url><loc>https://scifaro.com/en/abs/practical-recommendations-for-gradient-based-training-of-deep-architectures-1206.5533</loc><lastmod>2012-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-recommendations-for-gradient-based-training-of-deep-architectures-1206.5533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-recommendations-for-gradient-based-training-of-deep-architectures-1206.5533"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-a-review-and-new-perspectives-1206.5538</loc><lastmod>2014-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-a-review-and-new-perspectives-1206.5538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-a-review-and-new-perspectives-1206.5538"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometric-algorithm-for-scalable-multiple-kernel-learning-1206.5580</loc><lastmod>2014-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometric-algorithm-for-scalable-multiple-kernel-learning-1206.5580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometric-algorithm-for-scalable-multiple-kernel-learning-1206.5580"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixtures-of-spherical-gaussians-moment-methods-and-spectral-decompositions-1206.5766</loc><lastmod>2012-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixtures-of-spherical-gaussians-moment-methods-and-spectral-decompositions-1206.5766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixtures-of-spherical-gaussians-moment-methods-and-spectral-decompositions-1206.5766"/></url>
<url><loc>https://scifaro.com/en/abs/exact-recovery-of-sparsely-used-dictionaries-1206.5882</loc><lastmod>2012-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-recovery-of-sparsely-used-dictionaries-1206.5882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-recovery-of-sparsely-used-dictionaries-1206.5882"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-classification-methods-using-inaccurate-external-classifier-information-1206.5915</loc><lastmod>2012-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-classification-methods-using-inaccurate-external-classifier-information-1206.5915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-classification-methods-using-inaccurate-external-classifier-information-1206.5915"/></url>
<url><loc>https://scifaro.com/en/abs/transductive-classification-methods-for-mixed-graphs-1206.6015</loc><lastmod>2012-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transductive-classification-methods-for-mixed-graphs-1206.6015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transductive-classification-methods-for-mixed-graphs-1206.6015"/></url>
<url><loc>https://scifaro.com/en/abs/an-additive-model-view-to-sparse-gaussian-process-classifier-design-1206.6030</loc><lastmod>2012-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-additive-model-view-to-sparse-gaussian-process-classifier-design-1206.6030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-additive-model-view-to-sparse-gaussian-process-classifier-design-1206.6030"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-approaches-for-gaussian-process-classifier-model-selection-1206.6038</loc><lastmod>2012-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-approaches-for-gaussian-process-classifier-model-selection-1206.6038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-approaches-for-gaussian-process-classifier-model-selection-1206.6038"/></url>
<url><loc>https://scifaro.com/en/abs/directed-time-series-regression-for-control-1206.6141</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directed-time-series-regression-for-control-1206.6141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directed-time-series-regression-for-control-1206.6141"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-elastic-inner-vector-spaces-with-application-in-time-series-and-sequence-mining-1206.6196</loc><lastmod>2012-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-elastic-inner-vector-spaces-with-application-in-time-series-and-sequence-mining-1206.6196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-elastic-inner-vector-spaces-with-application-in-time-series-and-sequence-mining-1206.6196"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-data-fusion-and-active-sensing-with-mobile-sensors-for-modeling-and-predicting-spatiotemporal-traffic-phenomena-1206.6230</loc><lastmod>2012-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-data-fusion-and-active-sensing-with-mobile-sensors-for-modeling-and-predicting-spatiotemporal-traffic-phenomena-1206.6230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-data-fusion-and-active-sensing-with-mobile-sensors-for-modeling-and-predicting-spatiotemporal-traffic-phenomena-1206.6230"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-posterior-sampling-via-stochastic-gradient-fisher-scoring-1206.6380</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-posterior-sampling-via-stochastic-gradient-fisher-scoring-1206.6380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-posterior-sampling-via-stochastic-gradient-fisher-scoring-1206.6380"/></url>
<url><loc>https://scifaro.com/en/abs/shortest-path-distance-in-random-k-nearest-neighbor-graphs-1206.6381</loc><lastmod>2012-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shortest-path-distance-in-random-k-nearest-neighbor-graphs-1206.6381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shortest-path-distance-in-random-k-nearest-neighbor-graphs-1206.6381"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-covariance-decomposition-into-sparse-markov-and-independence-domains-1206.6382</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-covariance-decomposition-into-sparse-markov-and-independence-domains-1206.6382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-covariance-decomposition-into-sparse-markov-and-independence-domains-1206.6382"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-via-probabilistic-outputs-1206.6383</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-via-probabilistic-outputs-1206.6383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-via-probabilistic-outputs-1206.6383"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-and-practical-stochastic-subgradient-descent-for-nuclear-norm-regularization-1206.6384</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-and-practical-stochastic-subgradient-descent-for-nuclear-norm-regularization-1206.6384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-and-practical-stochastic-subgradient-descent-for-nuclear-norm-regularization-1206.6384"/></url>
<url><loc>https://scifaro.com/en/abs/improved-estimation-in-time-varying-models-1206.6385</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-estimation-in-time-varying-models-1206.6385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-estimation-in-time-varying-models-1206.6385"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-grade-a-test-without-knowing-the-answers-a-bayesian-graphical-model-for-adaptive-crowdsourcing-and-aptitude-testing-1206.6386</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-grade-a-test-without-knowing-the-answers-a-bayesian-graphical-model-for-adaptive-crowdsourcing-and-aptitude-testing-1206.6386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-grade-a-test-without-knowing-the-answers-a-bayesian-graphical-model-for-adaptive-crowdsourcing-and-aptitude-testing-1206.6386"/></url>
<url><loc>https://scifaro.com/en/abs/fast-classification-using-sparse-decision-dags-1206.6387</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-classification-using-sparse-decision-dags-1206.6387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-classification-using-sparse-decision-dags-1206.6387"/></url>
<url><loc>https://scifaro.com/en/abs/canonical-trends-detecting-trend-setters-in-web-data-1206.6388</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/canonical-trends-detecting-trend-setters-in-web-data-1206.6388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/canonical-trends-detecting-trend-setters-in-web-data-1206.6388"/></url>
<url><loc>https://scifaro.com/en/abs/poisoning-attacks-against-support-vector-machines-1206.6389</loc><lastmod>2013-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisoning-attacks-against-support-vector-machines-1206.6389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisoning-attacks-against-support-vector-machines-1206.6389"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-temporal-dependencies-in-high-dimensional-sequences-application-to-polyphonic-music-generation-and-transcription-1206.6392</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-temporal-dependencies-in-high-dimensional-sequences-application-to-polyphonic-music-generation-and-transcription-1206.6392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-temporal-dependencies-in-high-dimensional-sequences-application-to-polyphonic-music-generation-and-transcription-1206.6392"/></url>
<url><loc>https://scifaro.com/en/abs/local-loss-optimization-in-operator-models-a-new-insight-into-spectral-learning-1206.6393</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-loss-optimization-in-operator-models-a-new-insight-into-spectral-learning-1206.6393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-loss-optimization-in-operator-models-a-new-insight-into-spectral-learning-1206.6393"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-link-prediction-in-dynamic-networks-1206.6394</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-link-prediction-in-dynamic-networks-1206.6394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-link-prediction-in-dynamic-networks-1206.6394"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rates-for-differentially-private-statistical-estimation-1206.6395</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rates-for-differentially-private-statistical-estimation-1206.6395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rates-for-differentially-private-statistical-estimation-1206.6395"/></url>
<url><loc>https://scifaro.com/en/abs/joint-optimization-and-variable-selection-of-high-dimensional-gaussian-processes-1206.6396</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-optimization-and-variable-selection-of-high-dimensional-gaussian-processes-1206.6396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-optimization-and-variable-selection-of-high-dimensional-gaussian-processes-1206.6396"/></url>
<url><loc>https://scifaro.com/en/abs/communications-inspired-linear-discriminant-analysis-1206.6397</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communications-inspired-linear-discriminant-analysis-1206.6397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communications-inspired-linear-discriminant-analysis-1206.6397"/></url>
<url><loc>https://scifaro.com/en/abs/learning-parameterized-skills-1206.6398</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-parameterized-skills-1206.6398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-parameterized-skills-1206.6398"/></url>
<url><loc>https://scifaro.com/en/abs/demand-driven-clustering-in-relational-domains-for-predicting-adverse-drug-events-1206.6399</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demand-driven-clustering-in-relational-domains-for-predicting-adverse-drug-events-1206.6399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demand-driven-clustering-in-relational-domains-for-predicting-adverse-drug-events-1206.6399"/></url>
<url><loc>https://scifaro.com/en/abs/online-bandit-learning-against-an-adaptive-adversary-from-regret-to-policy-regret-1206.6400</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-bandit-learning-against-an-adaptive-adversary-from-regret-to-policy-regret-1206.6400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-bandit-learning-against-an-adaptive-adversary-from-regret-to-policy-regret-1206.6400"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-multilabel-ranking-through-univariate-losses-1206.6401</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-multilabel-ranking-through-univariate-losses-1206.6401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-multilabel-ranking-through-univariate-losses-1206.6401"/></url>
<url><loc>https://scifaro.com/en/abs/parallelizing-exploration-exploitation-tradeoffs-with-gaussian-process-bandit-optimization-1206.6402</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelizing-exploration-exploitation-tradeoffs-with-gaussian-process-bandit-optimization-1206.6402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelizing-exploration-exploitation-tradeoffs-with-gaussian-process-bandit-optimization-1206.6402"/></url>
<url><loc>https://scifaro.com/en/abs/policy-gradients-with-variance-related-risk-criteria-1206.6404</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-gradients-with-variance-related-risk-criteria-1206.6404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-gradients-with-variance-related-risk-criteria-1206.6404"/></url>
<url><loc>https://scifaro.com/en/abs/bounded-planning-in-passive-pomdps-1206.6405</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounded-planning-in-passive-pomdps-1206.6405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounded-planning-in-passive-pomdps-1206.6405"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimal-active-search-and-surveying-1206.6406</loc><lastmod>2016-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimal-active-search-and-surveying-1206.6406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimal-active-search-and-surveying-1206.6406"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-feature-learning-with-spike-and-slab-sparse-coding-1206.6407</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-feature-learning-with-spike-and-slab-sparse-coding-1206.6407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-feature-learning-with-spike-and-slab-sparse-coding-1206.6407"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-coordinate-descent-algorithms-for-large-ell-1-regularization-problems-1206.6409</loc><lastmod>2012-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-coordinate-descent-algorithms-for-large-ell-1-regularization-problems-1206.6409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-coordinate-descent-algorithms-for-large-ell-1-regularization-problems-1206.6409"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-partition-function-and-random-maximum-a-posteriori-perturbations-1206.6410</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-partition-function-and-random-maximum-a-posteriori-perturbations-1206.6410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-partition-function-and-random-maximum-a-posteriori-perturbations-1206.6410"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-difficulty-of-nearest-neighbor-search-1206.6411</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-difficulty-of-nearest-neighbor-search-1206.6411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-difficulty-of-nearest-neighbor-search-1206.6411"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-algorithm-for-semi-supervised-learning-with-improved-generalization-error-bound-1206.6412</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-algorithm-for-semi-supervised-learning-with-improved-generalization-error-bound-1206.6412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-algorithm-for-semi-supervised-learning-with-improved-generalization-error-bound-1206.6412"/></url>
<url><loc>https://scifaro.com/en/abs/a-convex-relaxation-for-weakly-supervised-classifiers-1206.6413</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convex-relaxation-for-weakly-supervised-classifiers-1206.6413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convex-relaxation-for-weakly-supervised-classifiers-1206.6413"/></url>
<url><loc>https://scifaro.com/en/abs/the-nonparametric-metadata-dependent-relational-model-1206.6414</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-nonparametric-metadata-dependent-relational-model-1206.6414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-nonparametric-metadata-dependent-relational-model-1206.6414"/></url>
<url><loc>https://scifaro.com/en/abs/the-big-data-bootstrap-1206.6415</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-big-data-bootstrap-1206.6415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-big-data-bootstrap-1206.6415"/></url>
<url><loc>https://scifaro.com/en/abs/an-infinite-latent-attribute-model-for-network-data-1206.6416</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-infinite-latent-attribute-model-for-network-data-1206.6416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-infinite-latent-attribute-model-for-network-data-1206.6416"/></url>
<url><loc>https://scifaro.com/en/abs/learning-task-grouping-and-overlap-in-multi-task-learning-1206.6417</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-task-grouping-and-overlap-in-multi-task-learning-1206.6417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-task-grouping-and-overlap-in-multi-task-learning-1206.6417"/></url>
<url><loc>https://scifaro.com/en/abs/learning-invariant-representations-with-local-transformations-1206.6418</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-invariant-representations-with-local-transformations-1206.6418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-invariant-representations-with-local-transformations-1206.6418"/></url>
<url><loc>https://scifaro.com/en/abs/cross-domain-multitask-learning-with-latent-probit-models-1206.6419</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-domain-multitask-learning-with-latent-probit-models-1206.6419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-domain-multitask-learning-with-latent-probit-models-1206.6419"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-parameter-estimation-via-pseudo-likelihood-1206.6420</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-parameter-estimation-via-pseudo-likelihood-1206.6420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-parameter-estimation-via-pseudo-likelihood-1206.6420"/></url>
<url><loc>https://scifaro.com/en/abs/structured-learning-from-partial-annotations-1206.6421</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-learning-from-partial-annotations-1206.6421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-learning-from-partial-annotations-1206.6421"/></url>
<url><loc>https://scifaro.com/en/abs/an-online-boosting-algorithm-with-theoretical-justifications-1206.6422</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-online-boosting-algorithm-with-theoretical-justifications-1206.6422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-online-boosting-algorithm-with-theoretical-justifications-1206.6422"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-stochastic-inference-for-latent-dirichlet-allocation-1206.6425</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-stochastic-inference-for-latent-dirichlet-allocation-1206.6425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-stochastic-inference-for-latent-dirichlet-allocation-1206.6425"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-the-em-algorithm-for-gaussian-mixtures-with-unbalanced-mixing-coefficients-1206.6427</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-the-em-algorithm-for-gaussian-mixtures-with-unbalanced-mixing-coefficients-1206.6427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-the-em-algorithm-for-gaussian-mixtures-with-unbalanced-mixing-coefficients-1206.6427"/></url>
<url><loc>https://scifaro.com/en/abs/a-binary-classification-framework-for-two-stage-multiple-kernel-learning-1206.6428</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-binary-classification-framework-for-two-stage-multiple-kernel-learning-1206.6428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-binary-classification-framework-for-two-stage-multiple-kernel-learning-1206.6428"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-domain-knowledge-in-matching-problems-via-harmonic-analysis-1206.6429</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-domain-knowledge-in-matching-problems-via-harmonic-analysis-1206.6429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-domain-knowledge-in-matching-problems-via-harmonic-analysis-1206.6429"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-inference-with-stochastic-search-1206.6430</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-inference-with-stochastic-search-1206.6430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-inference-with-stochastic-search-1206.6430"/></url>
<url><loc>https://scifaro.com/en/abs/exact-maximum-margin-structure-learning-of-bayesian-networks-1206.6431</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-maximum-margin-structure-learning-of-bayesian-networks-1206.6431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-maximum-margin-structure-learning-of-bayesian-networks-1206.6431"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-support-vector-infinite-push-1206.6432</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-support-vector-infinite-push-1206.6432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-support-vector-infinite-push-1206.6432"/></url>
<url><loc>https://scifaro.com/en/abs/a-generative-process-for-sampling-contractive-auto-encoders-1206.6434</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generative-process-for-sampling-contractive-auto-encoders-1206.6434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generative-process-for-sampling-contractive-auto-encoders-1206.6434"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-collapsed-variational-bayes-inference-for-lda-1206.6435</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-collapsed-variational-bayes-inference-for-lda-1206.6435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-collapsed-variational-bayes-inference-for-lda-1206.6435"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-structured-prediction-with-latent-variables-for-general-graphical-models-1206.6436</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-structured-prediction-with-latent-variables-for-general-graphical-models-1206.6436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-structured-prediction-with-latent-variables-for-general-graphical-models-1206.6436"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretical-learning-of-discriminative-clusters-for-unsupervised-domain-adaptation-1206.6438</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretical-learning-of-discriminative-clusters-for-unsupervised-domain-adaptation-1206.6438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretical-learning-of-discriminative-clusters-for-unsupervised-domain-adaptation-1206.6438"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-preference-flips-in-commerce-search-1206.6440</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-preference-flips-in-commerce-search-1206.6440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-preference-flips-in-commerce-search-1206.6440"/></url>
<url><loc>https://scifaro.com/en/abs/a-topic-model-for-melodic-sequences-1206.6441</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-topic-model-for-melodic-sequences-1206.6441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-topic-model-for-melodic-sequences-1206.6441"/></url>
<url><loc>https://scifaro.com/en/abs/minimizing-the-misclassification-error-rate-using-a-surrogate-convex-loss-1206.6442</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimizing-the-misclassification-error-rate-using-a-surrogate-convex-loss-1206.6442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimizing-the-misclassification-error-rate-using-a-surrogate-convex-loss-1206.6442"/></url>
<url><loc>https://scifaro.com/en/abs/isoelastic-agents-and-wealth-updates-in-machine-learning-markets-1206.6443</loc><lastmod>2012-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/isoelastic-agents-and-wealth-updates-in-machine-learning-markets-1206.6443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/isoelastic-agents-and-wealth-updates-in-machine-learning-markets-1206.6443"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-linear-estimation-with-penalized-estimators-an-application-to-reinforcement-learning-1206.6444</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-linear-estimation-with-penalized-estimators-an-application-to-reinforcement-learning-1206.6444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-linear-estimation-with-penalized-estimators-an-application-to-reinforcement-learning-1206.6444"/></url>
<url><loc>https://scifaro.com/en/abs/agglomerative-bregman-clustering-1206.6446</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agglomerative-bregman-clustering-1206.6446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agglomerative-bregman-clustering-1206.6446"/></url>
<url><loc>https://scifaro.com/en/abs/small-sample-brain-mapping-sparse-recovery-on-spatially-correlated-designs-with-randomization-and-clustering-1206.6447</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-sample-brain-mapping-sparse-recovery-on-spatially-correlated-designs-with-randomization-and-clustering-1206.6447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-sample-brain-mapping-sparse-recovery-on-spatially-correlated-designs-with-randomization-and-clustering-1206.6447"/></url>
<url><loc>https://scifaro.com/en/abs/online-alternating-direction-method-1206.6448</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-alternating-direction-method-1206.6448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-alternating-direction-method-1206.6448"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-bayesian-reinforcement-learning-1206.6449</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-bayesian-reinforcement-learning-1206.6449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-bayesian-reinforcement-learning-1206.6449"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-sparse-coding-and-grouped-multivariate-regression-1206.6450</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-sparse-coding-and-grouped-multivariate-regression-1206.6450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-sparse-coding-and-grouped-multivariate-regression-1206.6450"/></url>
<url><loc>https://scifaro.com/en/abs/the-greedy-miser-learning-under-test-time-budgets-1206.6451</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-greedy-miser-learning-under-test-time-budgets-1206.6451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-greedy-miser-learning-under-test-time-budgets-1206.6451"/></url>
<url><loc>https://scifaro.com/en/abs/smoothness-and-structure-learning-by-proxy-1206.6452</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothness-and-structure-learning-by-proxy-1206.6452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothness-and-structure-learning-by-proxy-1206.6452"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-canonical-correlation-analysis-based-on-matrix-manifolds-1206.6453</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-canonical-correlation-analysis-based-on-matrix-manifolds-1206.6453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-canonical-correlation-analysis-based-on-matrix-manifolds-1206.6453"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-exploration-for-accelerating-contextual-bandits-1206.6454</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-exploration-for-accelerating-contextual-bandits-1206.6454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-exploration-for-accelerating-contextual-bandits-1206.6454"/></url>
<url><loc>https://scifaro.com/en/abs/regularizers-versus-losses-for-nonlinear-dimensionality-reduction-a-factored-view-with-new-convex-relaxations-1206.6455</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizers-versus-losses-for-nonlinear-dimensionality-reduction-a-factored-view-with-new-convex-relaxations-1206.6455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizers-versus-losses-for-nonlinear-dimensionality-reduction-a-factored-view-with-new-convex-relaxations-1206.6455"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-regret-bounds-for-gaussian-process-bandits-with-deterministic-observations-1206.6457</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-regret-bounds-for-gaussian-process-bandits-with-deterministic-observations-1206.6457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-regret-bounds-for-gaussian-process-bandits-with-deterministic-observations-1206.6457"/></url>
<url><loc>https://scifaro.com/en/abs/batch-active-learning-via-coordinated-matching-1206.6458</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-active-learning-via-coordinated-matching-1206.6458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-active-learning-via-coordinated-matching-1206.6458"/></url>
<url><loc>https://scifaro.com/en/abs/output-space-search-for-structured-prediction-1206.6460</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/output-space-search-for-structured-prediction-1206.6460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/output-space-search-for-structured-prediction-1206.6460"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sample-complexity-of-reinforcement-learning-with-a-generative-model-1206.6461</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-reinforcement-learning-with-a-generative-model-1206.6461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-reinforcement-learning-with-a-generative-model-1206.6461"/></url>
<url><loc>https://scifaro.com/en/abs/learning-object-arrangements-in-3d-scenes-using-human-context-1206.6462</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-object-arrangements-in-3d-scenes-using-human-context-1206.6462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-object-arrangements-in-3d-scenes-using-human-context-1206.6462"/></url>
<url><loc>https://scifaro.com/en/abs/an-iterative-locally-linear-embedding-algorithm-1206.6463</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-iterative-locally-linear-embedding-algorithm-1206.6463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-iterative-locally-linear-embedding-algorithm-1206.6463"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-hessian-by-back-propagating-curvature-1206.6464</loc><lastmod>2012-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-hessian-by-back-propagating-curvature-1206.6464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-hessian-by-back-propagating-curvature-1206.6464"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-efficient-multiple-kernel-learning-1206.6465</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-efficient-multiple-kernel-learning-1206.6465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-efficient-multiple-kernel-learning-1206.6465"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-collective-classification-via-hybrid-label-regularization-1206.6467</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-collective-classification-via-hybrid-label-regularization-1206.6467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-collective-classification-via-hybrid-label-regularization-1206.6467"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-in-non-negative-factorial-hidden-markov-models-for-efficient-audio-source-separation-1206.6468</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-in-non-negative-factorial-hidden-markov-models-for-efficient-audio-source-separation-1206.6468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-in-non-negative-factorial-hidden-markov-models-for-efficient-audio-source-separation-1206.6468"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-latent-structure-from-mixed-real-and-categorical-relational-data-1206.6469</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-latent-structure-from-mixed-real-and-categorical-relational-data-1206.6469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-latent-structure-from-mixed-real-and-categorical-relational-data-1206.6469"/></url>
<url><loc>https://scifaro.com/en/abs/a-combinatorial-algebraic-approach-for-the-identifiability-of-low-rank-matrix-completion-1206.6470</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-combinatorial-algebraic-approach-for-the-identifiability-of-low-rank-matrix-completion-1206.6470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-combinatorial-algebraic-approach-for-the-identifiability-of-low-rank-matrix-completion-1206.6470"/></url>
<url><loc>https://scifaro.com/en/abs/on-causal-and-anticausal-learning-1206.6471</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-causal-and-anticausal-learning-1206.6471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-causal-and-anticausal-learning-1206.6471"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-approach-to-sparse-linear-discriminant-analysis-1206.6472</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-approach-to-sparse-linear-discriminant-analysis-1206.6472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-approach-to-sparse-linear-discriminant-analysis-1206.6472"/></url>
<url><loc>https://scifaro.com/en/abs/a-split-merge-framework-for-comparing-clusterings-1206.6475</loc><lastmod>2012-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-split-merge-framework-for-comparing-clusterings-1206.6475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-split-merge-framework-for-comparing-clusterings-1206.6475"/></url>
<url><loc>https://scifaro.com/en/abs/similarity-learning-for-provably-accurate-sparse-linear-classification-1206.6476</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/similarity-learning-for-provably-accurate-sparse-linear-classification-1206.6476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/similarity-learning-for-provably-accurate-sparse-linear-classification-1206.6476"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-support-and-affiliated-features-from-very-high-dimensions-1206.6477</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-support-and-affiliated-features-from-very-high-dimensions-1206.6477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-support-and-affiliated-features-from-very-high-dimensions-1206.6477"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-margin-output-coding-1206.6478</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-margin-output-coding-1206.6478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-margin-output-coding-1206.6478"/></url>
<url><loc>https://scifaro.com/en/abs/the-landmark-selection-method-for-multiple-output-prediction-1206.6479</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-landmark-selection-method-for-multiple-output-prediction-1206.6479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-landmark-selection-method-for-multiple-output-prediction-1206.6479"/></url>
<url><loc>https://scifaro.com/en/abs/a-dantzig-selector-approach-to-temporal-difference-learning-1206.6480</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dantzig-selector-approach-to-temporal-difference-learning-1206.6480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dantzig-selector-approach-to-temporal-difference-learning-1206.6480"/></url>
<url><loc>https://scifaro.com/en/abs/subgraph-matching-kernels-for-attributed-graphs-1206.6483</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subgraph-matching-kernels-for-attributed-graphs-1206.6483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subgraph-matching-kernels-for-attributed-graphs-1206.6483"/></url>
<url><loc>https://scifaro.com/en/abs/apprenticeship-learning-for-model-parameters-of-partially-observable-environments-1206.6484</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/apprenticeship-learning-for-model-parameters-of-partially-observable-environments-1206.6484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/apprenticeship-learning-for-model-parameters-of-partially-observable-environments-1206.6484"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-algorithms-for-sparse-reinforcement-learning-1206.6485</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-algorithms-for-sparse-reinforcement-learning-1206.6485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-algorithms-for-sparse-reinforcement-learning-1206.6485"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-modeling-of-latent-task-structures-in-multitask-learning-1206.6486</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-modeling-of-latent-task-structures-in-multitask-learning-1206.6486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-modeling-of-latent-task-structures-in-multitask-learning-1206.6486"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-algorithm-for-finite-stochastic-partial-monitoring-1206.6487</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-algorithm-for-finite-stochastic-partial-monitoring-1206.6487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-algorithm-for-finite-stochastic-partial-monitoring-1206.6487"/></url>
<url><loc>https://scifaro.com/en/abs/a-concentration-theorem-for-projections-1206.6813</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-concentration-theorem-for-projections-1206.6813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-concentration-theorem-for-projections-1206.6813"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-learning-via-semidefinite-probabilistic-models-1206.6815</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-learning-via-semidefinite-probabilistic-models-1206.6815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-learning-via-semidefinite-probabilistic-models-1206.6815"/></url>
<url><loc>https://scifaro.com/en/abs/gene-expression-time-course-clustering-with-countably-infinite-hidden-markov-models-1206.6824</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gene-expression-time-course-clustering-with-countably-infinite-hidden-markov-models-1206.6824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gene-expression-time-course-clustering-with-countably-infinite-hidden-markov-models-1206.6824"/></url>
<url><loc>https://scifaro.com/en/abs/advances-in-exact-bayesian-structure-discovery-in-bayesian-networks-1206.6828</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advances-in-exact-bayesian-structure-discovery-in-bayesian-networks-1206.6828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advances-in-exact-bayesian-structure-discovery-in-bayesian-networks-1206.6828"/></url>
<url><loc>https://scifaro.com/en/abs/convex-structure-learning-for-bayesian-networks-polynomial-feature-selection-and-approximate-ordering-1206.6832</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-structure-learning-for-bayesian-networks-polynomial-feature-selection-and-approximate-ordering-1206.6832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-structure-learning-for-bayesian-networks-polynomial-feature-selection-and-approximate-ordering-1206.6832"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-tile-analysis-1206.6833</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-tile-analysis-1206.6833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-tile-analysis-1206.6833"/></url>
<url><loc>https://scifaro.com/en/abs/chi-square-tests-driven-method-for-learning-the-structure-of-factored-mdps-1206.6842</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chi-square-tests-driven-method-for-learning-the-structure-of-factored-mdps-1206.6842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chi-square-tests-driven-method-for-learning-the-structure-of-factored-mdps-1206.6842"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-separability-for-weak-interaction-in-dynamic-systems-1206.6846</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-separability-for-weak-interaction-in-dynamic-systems-1206.6846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-separability-for-weak-interaction-in-dynamic-systems-1206.6846"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-the-relevant-nodes-without-learning-the-model-1206.6847</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-the-relevant-nodes-without-learning-the-model-1206.6847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-the-relevant-nodes-without-learning-the-model-1206.6847"/></url>
<url><loc>https://scifaro.com/en/abs/a-compact-hierarchical-q-function-decomposition-1206.6851</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-compact-hierarchical-q-function-decomposition-1206.6851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-compact-hierarchical-q-function-decomposition-1206.6851"/></url>
<url><loc>https://scifaro.com/en/abs/structured-priors-for-structure-learning-1206.6852</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-priors-for-structure-learning-1206.6852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-priors-for-structure-learning-1206.6852"/></url>
<url><loc>https://scifaro.com/en/abs/faster-gaussian-summation-theory-and-experiment-1206.6857</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-gaussian-summation-theory-and-experiment-1206.6857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-gaussian-summation-theory-and-experiment-1206.6857"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-conditional-quantiles-via-reduction-to-classification-1206.6860</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-conditional-quantiles-via-reduction-to-classification-1206.6860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-conditional-quantiles-via-reduction-to-classification-1206.6860"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-number-of-samples-needed-to-learn-the-correct-structure-of-a-bayesian-network-1206.6862</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-number-of-samples-needed-to-learn-the-correct-structure-of-a-bayesian-network-1206.6862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-number-of-samples-needed-to-learn-the-correct-structure-of-a-bayesian-network-1206.6862"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-multicategory-support-vector-machines-1206.6863</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-multicategory-support-vector-machines-1206.6863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-multicategory-support-vector-machines-1206.6863"/></url>
<url><loc>https://scifaro.com/en/abs/a-non-parametric-bayesian-method-for-inferring-hidden-causes-1206.6865</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-non-parametric-bayesian-method-for-inferring-hidden-causes-1206.6865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-non-parametric-bayesian-method-for-inferring-hidden-causes-1206.6865"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-random-fields-the-bethe-laplace-approximation-1206.6868</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-random-fields-the-bethe-laplace-approximation-1206.6868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-random-fields-the-bethe-laplace-approximation-1206.6868"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-model-based-learners-with-formal-learning-time-guarantees-1206.6870</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-model-based-learners-with-formal-learning-time-guarantees-1206.6870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-model-based-learners-with-formal-learning-time-guarantees-1206.6870"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-by-dependence-a-fair-criteria-1206.6871</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-by-dependence-a-fair-criteria-1206.6871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-by-dependence-a-fair-criteria-1206.6871"/></url>
<url><loc>https://scifaro.com/en/abs/variable-noise-and-dimensionality-reduction-for-sparse-gaussian-processes-1206.6873</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-noise-and-dimensionality-reduction-for-sparse-gaussian-processes-1206.6873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-noise-and-dimensionality-reduction-for-sparse-gaussian-processes-1206.6873"/></url>
<url><loc>https://scifaro.com/en/abs/learning-neighborhoods-for-metric-learning-1206.6883</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-neighborhoods-for-metric-learning-1206.6883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-neighborhoods-for-metric-learning-1206.6883"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-method-for-distance-metric-learning-1206.7112</loc><lastmod>2012-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-method-for-distance-metric-learning-1206.7112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-method-for-distance-metric-learning-1206.7112"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-density-estimation-by-local-moment-matching-to-sample-from-auto-encoders-1207.0057</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-density-estimation-by-local-moment-matching-to-sample-from-auto-encoders-1207.0057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-density-estimation-by-local-moment-matching-to-sample-from-auto-encoders-1207.0057"/></url>
<url><loc>https://scifaro.com/en/abs/density-difference-estimation-1207.0099</loc><lastmod>2012-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-difference-estimation-1207.0099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-difference-estimation-1207.0099"/></url>
<url><loc>https://scifaro.com/en/abs/on-multilabel-classification-and-ranking-with-partial-feedback-1207.0166</loc><lastmod>2013-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-multilabel-classification-and-ranking-with-partial-feedback-1207.0166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-multilabel-classification-and-ranking-with-partial-feedback-1207.0166"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-regret-bounds-for-bipartite-ranking-via-strongly-proper-losses-1207.0268</loc><lastmod>2014-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-regret-bounds-for-bipartite-ranking-via-strongly-proper-losses-1207.0268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-regret-bounds-for-bipartite-ranking-via-strongly-proper-losses-1207.0268"/></url>
<url><loc>https://scifaro.com/en/abs/local-water-diffusion-phenomenon-clustering-from-high-angular-resolution-diffusion-imaging-hardi-1207.0677</loc><lastmod>2012-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-water-diffusion-phenomenon-clustering-from-high-angular-resolution-diffusion-imaging-hardi-1207.0677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-water-diffusion-phenomenon-clustering-from-high-angular-resolution-diffusion-imaging-hardi-1207.0677"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-template-update-system-for-unimodal-biometric-systems-1207.0783</loc><lastmod>2012-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-template-update-system-for-unimodal-biometric-systems-1207.0783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-template-update-system-for-unimodal-biometric-systems-1207.0783"/></url>
<url><loc>https://scifaro.com/en/abs/web-based-benchmark-for-keystroke-dynamics-biometric-systems-a-statistical-analysis-1207.0784</loc><lastmod>2012-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/web-based-benchmark-for-keystroke-dynamics-biometric-systems-a-statistical-analysis-1207.0784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/web-based-benchmark-for-keystroke-dynamics-biometric-systems-a-statistical-analysis-1207.0784"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-spectral-learning-1207.1358</loc><lastmod>2012-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-spectral-learning-1207.1358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-spectral-learning-1207.1358"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-sparse-data-by-exploiting-monotonicity-constraints-1207.1364</loc><lastmod>2012-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-sparse-data-by-exploiting-monotonicity-constraints-1207.1364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-sparse-data-by-exploiting-monotonicity-constraints-1207.1364"/></url>
<url><loc>https://scifaro.com/en/abs/learning-factor-graphs-in-polynomial-time-sample-complexity-1207.1366</loc><lastmod>2012-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-factor-graphs-in-polynomial-time-sample-complexity-1207.1366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-factor-graphs-in-polynomial-time-sample-complexity-1207.1366"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-detection-of-concept-changes-in-time-varying-data-stream-by-testing-exchangeability-1207.1379</loc><lastmod>2012-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-detection-of-concept-changes-in-time-varying-data-stream-by-testing-exchangeability-1207.1379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-detection-of-concept-changes-in-time-varying-data-stream-by-testing-exchangeability-1207.1379"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-margin-bayesian-networks-1207.1382</loc><lastmod>2012-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-margin-bayesian-networks-1207.1382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-margin-bayesian-networks-1207.1382"/></url>
<url><loc>https://scifaro.com/en/abs/learning-about-individuals-from-group-statistics-1207.1393</loc><lastmod>2012-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-about-individuals-from-group-statistics-1207.1393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-about-individuals-from-group-statistics-1207.1393"/></url>
<url><loc>https://scifaro.com/en/abs/obtaining-calibrated-probabilities-from-boosting-1207.1403</loc><lastmod>2012-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/obtaining-calibrated-probabilities-from-boosting-1207.1403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/obtaining-calibrated-probabilities-from-boosting-1207.1403"/></url>
<url><loc>https://scifaro.com/en/abs/a-submodular-supermodular-procedure-with-applications-to-discriminative-structure-learning-1207.1404</loc><lastmod>2012-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-submodular-supermodular-procedure-with-applications-to-discriminative-structure-learning-1207.1404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-submodular-supermodular-procedure-with-applications-to-discriminative-structure-learning-1207.1404"/></url>
<url><loc>https://scifaro.com/en/abs/a-conditional-random-field-for-discriminatively-trained-finite-state-string-edit-distance-1207.1406</loc><lastmod>2012-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-conditional-random-field-for-discriminatively-trained-finite-state-string-edit-distance-1207.1406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-conditional-random-field-for-discriminatively-trained-finite-state-string-edit-distance-1207.1406"/></url>
<url><loc>https://scifaro.com/en/abs/piecewise-training-for-undirected-models-1207.1409</loc><lastmod>2012-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/piecewise-training-for-undirected-models-1207.1409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/piecewise-training-for-undirected-models-1207.1409"/></url>
<url><loc>https://scifaro.com/en/abs/discovery-of-non-gaussian-linear-causal-models-using-ica-1207.1413</loc><lastmod>2012-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovery-of-non-gaussian-linear-causal-models-using-ica-1207.1413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovery-of-non-gaussian-linear-causal-models-using-ica-1207.1413"/></url>
<url><loc>https://scifaro.com/en/abs/the-dlr-hierarchy-of-approximate-inference-1207.1417</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-dlr-hierarchy-of-approximate-inference-1207.1417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-dlr-hierarchy-of-approximate-inference-1207.1417"/></url>
<url><loc>https://scifaro.com/en/abs/a-function-approximation-approach-to-estimation-of-policy-gradient-for-pomdp-with-structured-policies-1207.1421</loc><lastmod>2012-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-function-approximation-approach-to-estimation-of-policy-gradient-for-pomdp-with-structured-policies-1207.1421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-function-approximation-approach-to-estimation-of-policy-gradient-for-pomdp-with-structured-policies-1207.1421"/></url>
<url><loc>https://scifaro.com/en/abs/mining-associated-text-and-images-with-dual-wing-harmoniums-1207.1423</loc><lastmod>2012-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-associated-text-and-images-with-dual-wing-harmoniums-1207.1423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-associated-text-and-images-with-dual-wing-harmoniums-1207.1423"/></url>
<url><loc>https://scifaro.com/en/abs/ordering-based-search-a-simple-and-effective-algorithm-for-learning-bayesian-networks-1207.1429</loc><lastmod>2012-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ordering-based-search-a-simple-and-effective-algorithm-for-learning-bayesian-networks-1207.1429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ordering-based-search-a-simple-and-effective-algorithm-for-learning-bayesian-networks-1207.1429"/></url>
<url><loc>https://scifaro.com/en/abs/comparative-study-for-inference-of-hidden-classes-in-stochastic-block-models-1207.2328</loc><lastmod>2013-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparative-study-for-inference-of-hidden-classes-in-stochastic-block-models-1207.2328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparative-study-for-inference-of-hidden-classes-in-stochastic-block-models-1207.2328"/></url>
<url><loc>https://scifaro.com/en/abs/a-spectral-learning-approach-to-range-only-slam-1207.2491</loc><lastmod>2012-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spectral-learning-approach-to-range-only-slam-1207.2491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spectral-learning-approach-to-range-only-slam-1207.2491"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-rates-for-first-order-stochastic-convex-optimization-under-tsybakov-noise-condition-1207.3012</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-rates-for-first-order-stochastic-convex-optimization-under-tsybakov-noise-condition-1207.3012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-rates-for-first-order-stochastic-convex-optimization-under-tsybakov-noise-condition-1207.3012"/></url>
<url><loc>https://scifaro.com/en/abs/the-price-of-privacy-in-untrusted-recommendation-engines-1207.3269</loc><lastmod>2014-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-price-of-privacy-in-untrusted-recommendation-engines-1207.3269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-price-of-privacy-in-untrusted-recommendation-engines-1207.3269"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-reduction-by-mutual-information-feature-extraction-1207.3394</loc><lastmod>2012-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-reduction-by-mutual-information-feature-extraction-1207.3394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-reduction-by-mutual-information-feature-extraction-1207.3394"/></url>
<url><loc>https://scifaro.com/en/abs/improved-brain-pattern-recovery-through-ranking-approaches-1207.3520</loc><lastmod>2012-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-brain-pattern-recovery-through-ranking-approaches-1207.3520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-brain-pattern-recovery-through-ranking-approaches-1207.3520"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-rank-from-medical-imaging-data-1207.3598</loc><lastmod>2012-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-rank-from-medical-imaging-data-1207.3598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-rank-from-medical-imaging-data-1207.3598"/></url>
<url><loc>https://scifaro.com/en/abs/accuracy-measures-for-the-comparison-of-classifiers-1207.3790</loc><lastmod>2012-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accuracy-measures-for-the-comparison-of-classifiers-1207.3790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accuracy-measures-for-the-comparison-of-classifiers-1207.3790"/></url>
<url><loc>https://scifaro.com/en/abs/the-minimum-information-principle-for-discriminative-learning-1207.4110</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-minimum-information-principle-for-discriminative-learning-1207.4110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-minimum-information-principle-for-discriminative-learning-1207.4110"/></url>
<url><loc>https://scifaro.com/en/abs/algebraic-statistics-in-model-selection-1207.4112</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algebraic-statistics-in-model-selection-1207.4112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algebraic-statistics-in-model-selection-1207.4112"/></url>
<url><loc>https://scifaro.com/en/abs/on-line-prediction-with-kernels-and-the-complexity-approximation-principle-1207.4113</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-line-prediction-with-kernels-and-the-complexity-approximation-principle-1207.4113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-line-prediction-with-kernels-and-the-complexity-approximation-principle-1207.4113"/></url>
<url><loc>https://scifaro.com/en/abs/applying-discrete-pca-in-data-analysis-1207.4125</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-discrete-pca-in-data-analysis-1207.4125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-discrete-pca-in-data-analysis-1207.4125"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-families-for-conditional-random-fields-1207.4131</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-families-for-conditional-random-fields-1207.4131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-families-for-conditional-random-fields-1207.4131"/></url>
<url><loc>https://scifaro.com/en/abs/mob-esp-and-other-improvements-in-probability-estimation-1207.4132</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mob-esp-and-other-improvements-in-probability-estimation-1207.4132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mob-esp-and-other-improvements-in-probability-estimation-1207.4132"/></url>
<url><loc>https://scifaro.com/en/abs/ideal-parent-structure-learning-for-continuous-variable-networks-1207.4133</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ideal-parent-structure-learning-for-continuous-variable-networks-1207.4133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ideal-parent-structure-learning-for-continuous-variable-networks-1207.4133"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-learning-in-undirected-graphical-models-approximate-mcmc-algorithms-1207.4134</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-learning-in-undirected-graphical-models-approximate-mcmc-algorithms-1207.4134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-learning-in-undirected-graphical-models-approximate-mcmc-algorithms-1207.4134"/></url>
<url><loc>https://scifaro.com/en/abs/active-model-selection-1207.4138</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-model-selection-1207.4138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-model-selection-1207.4138"/></url>
<url><loc>https://scifaro.com/en/abs/an-extended-cencov-campbell-characterization-of-conditional-information-geometry-1207.4139</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-extended-cencov-campbell-characterization-of-conditional-information-geometry-1207.4139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-extended-cencov-campbell-characterization-of-conditional-information-geometry-1207.4139"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-chow-liu-tree-structures-for-modeling-discrete-valued-vector-time-series-1207.4142</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-chow-liu-tree-structures-for-modeling-discrete-valued-vector-time-series-1207.4142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-chow-liu-tree-structures-for-modeling-discrete-valued-vector-time-series-1207.4142"/></url>
<url><loc>https://scifaro.com/en/abs/a-generative-bayesian-model-for-aggregating-experts-probabilities-1207.4144</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generative-bayesian-model-for-aggregating-experts-probabilities-1207.4144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generative-bayesian-model-for-aggregating-experts-probabilities-1207.4144"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-approach-toward-active-learning-for-collaborative-filtering-1207.4146</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-approach-toward-active-learning-for-collaborative-filtering-1207.4146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-approach-toward-active-learning-for-collaborative-filtering-1207.4146"/></url>
<url><loc>https://scifaro.com/en/abs/dynamical-systems-trees-1207.4148</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamical-systems-trees-1207.4148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamical-systems-trees-1207.4148"/></url>
<url><loc>https://scifaro.com/en/abs/pac-learning-bounded-tree-width-graphical-models-1207.4151</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-learning-bounded-tree-width-graphical-models-1207.4151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-learning-bounded-tree-width-graphical-models-1207.4151"/></url>
<url><loc>https://scifaro.com/en/abs/similarity-driven-cluster-merging-method-for-unsupervised-fuzzy-clustering-1207.4155</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/similarity-driven-cluster-merging-method-for-unsupervised-fuzzy-clustering-1207.4155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/similarity-driven-cluster-merging-method-for-unsupervised-fuzzy-clustering-1207.4155"/></url>
<url><loc>https://scifaro.com/en/abs/graph-partition-strategies-for-generalized-mean-field-inference-1207.4156</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-partition-strategies-for-generalized-mean-field-inference-1207.4156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-partition-strategies-for-generalized-mean-field-inference-1207.4156"/></url>
<url><loc>https://scifaro.com/en/abs/an-integrated-conditional-model-of-information-extraction-and-coreference-with-applications-to-citation-matching-1207.4157</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-integrated-conditional-model-of-information-extraction-and-coreference-with-applications-to-citation-matching-1207.4157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-integrated-conditional-model-of-information-extraction-and-coreference-with-applications-to-citation-matching-1207.4157"/></url>
<url><loc>https://scifaro.com/en/abs/factored-latent-analysis-for-far-field-tracking-data-1207.4164</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factored-latent-analysis-for-far-field-tracking-data-1207.4164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factored-latent-analysis-for-far-field-tracking-data-1207.4164"/></url>
<url><loc>https://scifaro.com/en/abs/variational-chernoff-bounds-for-graphical-models-1207.4172</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-chernoff-bounds-for-graphical-models-1207.4172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-chernoff-bounds-for-graphical-models-1207.4172"/></url>
<url><loc>https://scifaro.com/en/abs/a-hierarchical-graphical-model-for-record-linkage-1207.4180</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hierarchical-graphical-model-for-record-linkage-1207.4180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hierarchical-graphical-model-for-record-linkage-1207.4180"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-statistical-efficiency-of-ell-1-p-multi-task-learning-of-gaussian-graphical-models-1207.4255</loc><lastmod>2015-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-statistical-efficiency-of-ell-1-p-multi-task-learning-of-gaussian-graphical-models-1207.4255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-statistical-efficiency-of-ell-1-p-multi-task-learning-of-gaussian-graphical-models-1207.4255"/></url>
<url><loc>https://scifaro.com/en/abs/better-mixing-via-deep-representations-1207.4404</loc><lastmod>2012-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-mixing-via-deep-representations-1207.4404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-mixing-via-deep-representations-1207.4404"/></url>
<url><loc>https://scifaro.com/en/abs/proceedings-of-the-29th-international-conference-on-machine-learning-icml-12-1207.4676</loc><lastmod>2012-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proceedings-of-the-29th-international-conference-on-machine-learning-icml-12-1207.4676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proceedings-of-the-29th-international-conference-on-machine-learning-icml-12-1207.4676"/></url>
<url><loc>https://scifaro.com/en/abs/block-coordinate-frank-wolfe-optimization-for-structural-svms-1207.4747</loc><lastmod>2013-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-coordinate-frank-wolfe-optimization-for-structural-svms-1207.4747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-coordinate-frank-wolfe-optimization-for-structural-svms-1207.4747"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-discovery-with-probabilistic-expert-advice-finite-time-analysis-and-macroscopic-optimality-1207.5259</loc><lastmod>2013-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-discovery-with-probabilistic-expert-advice-finite-time-analysis-and-macroscopic-optimality-1207.5259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-discovery-with-probabilistic-expert-advice-finite-time-analysis-and-macroscopic-optimality-1207.5259"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-metric-and-similarity-learning-1207.5437</loc><lastmod>2013-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-metric-and-similarity-learning-1207.5437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-metric-and-similarity-learning-1207.5437"/></url>
<url><loc>https://scifaro.com/en/abs/bellman-error-based-feature-generation-using-random-projections-on-sparse-spaces-1207.5554</loc><lastmod>2012-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bellman-error-based-feature-generation-using-random-projections-on-sparse-spaces-1207.5554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bellman-error-based-feature-generation-using-random-projections-on-sparse-spaces-1207.5554"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-laplacian-eigenmaps-with-applications-in-clinical-diagnostics-for-pediatric-cardiology-1207.7035</loc><lastmod>2012-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-laplacian-eigenmaps-with-applications-in-clinical-diagnostics-for-pediatric-cardiology-1207.7035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-laplacian-eigenmaps-with-applications-in-clinical-diagnostics-for-pediatric-cardiology-1207.7035"/></url>
<url><loc>https://scifaro.com/en/abs/multidimensional-membership-mixture-models-1208.0402</loc><lastmod>2012-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multidimensional-membership-mixture-models-1208.0402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multidimensional-membership-mixture-models-1208.0402"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-consistency-of-auc-pairwise-optimization-1208.0645</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-consistency-of-auc-pairwise-optimization-1208.0645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-consistency-of-auc-pairwise-optimization-1208.0645"/></url>
<url><loc>https://scifaro.com/en/abs/learning-theory-approach-to-minimum-error-entropy-criterion-1208.0848</loc><lastmod>2013-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-theory-approach-to-minimum-error-entropy-criterion-1208.0848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-theory-approach-to-minimum-error-entropy-criterion-1208.0848"/></url>
<url><loc>https://scifaro.com/en/abs/recklessly-approximate-sparse-coding-1208.0959</loc><lastmod>2013-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recklessly-approximate-sparse-coding-1208.0959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recklessly-approximate-sparse-coding-1208.0959"/></url>
<url><loc>https://scifaro.com/en/abs/april-active-preference-learning-based-reinforcement-learning-1208.0984</loc><lastmod>2012-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/april-active-preference-learning-based-reinforcement-learning-1208.0984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/april-active-preference-learning-based-reinforcement-learning-1208.0984"/></url>
<url><loc>https://scifaro.com/en/abs/one-permutation-hashing-for-efficient-search-and-learning-1208.1259</loc><lastmod>2012-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-permutation-hashing-for-efficient-search-and-learning-1208.1259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-permutation-hashing-for-efficient-search-and-learning-1208.1259"/></url>
<url><loc>https://scifaro.com/en/abs/data-selection-for-semi-supervised-learning-1208.1315</loc><lastmod>2012-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-selection-for-semi-supervised-learning-1208.1315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-selection-for-semi-supervised-learning-1208.1315"/></url>
<url><loc>https://scifaro.com/en/abs/guess-who-rated-this-movie-identifying-users-through-subspace-clustering-1208.1544</loc><lastmod>2012-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guess-who-rated-this-movie-identifying-users-through-subspace-clustering-1208.1544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guess-who-rated-this-movie-identifying-users-through-subspace-clustering-1208.1544"/></url>
<url><loc>https://scifaro.com/en/abs/self-organizing-time-map-an-abstraction-of-temporal-multivariate-patterns-1208.1819</loc><lastmod>2014-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-organizing-time-map-an-abstraction-of-temporal-multivariate-patterns-1208.1819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-organizing-time-map-an-abstraction-of-temporal-multivariate-patterns-1208.1819"/></url>
<url><loc>https://scifaro.com/en/abs/metric-learning-across-heterogeneous-domains-by-respectively-aligning-both-priors-and-posteriors-1208.1829</loc><lastmod>2012-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-learning-across-heterogeneous-domains-by-respectively-aligning-both-priors-and-posteriors-1208.1829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-learning-across-heterogeneous-domains-by-respectively-aligning-both-priors-and-posteriors-1208.1829"/></url>
<url><loc>https://scifaro.com/en/abs/margin-distribution-controlled-boosting-1208.1846</loc><lastmod>2012-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/margin-distribution-controlled-boosting-1208.1846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/margin-distribution-controlled-boosting-1208.1846"/></url>
<url><loc>https://scifaro.com/en/abs/sharp-analysis-of-low-rank-kernel-matrix-approximations-1208.2015</loc><lastmod>2013-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharp-analysis-of-low-rank-kernel-matrix-approximations-1208.2015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharp-analysis-of-low-rank-kernel-matrix-approximations-1208.2015"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-reinforcement-learning-with-gaussian-process-1208.2112</loc><lastmod>2013-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-with-gaussian-process-1208.2112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-with-gaussian-process-1208.2112"/></url>
<url><loc>https://scifaro.com/en/abs/learning-pseudo-boolean-k-dnf-and-submodular-functions-1208.2294</loc><lastmod>2012-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-pseudo-boolean-k-dnf-and-submodular-functions-1208.2294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-pseudo-boolean-k-dnf-and-submodular-functions-1208.2294"/></url>
<url><loc>https://scifaro.com/en/abs/path-integral-control-by-reproducing-kernel-hilbert-space-embedding-1208.2523</loc><lastmod>2012-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/path-integral-control-by-reproducing-kernel-hilbert-space-embedding-1208.2523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/path-integral-control-by-reproducing-kernel-hilbert-space-embedding-1208.2523"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-a-statistical-hypothesis-based-learning-mechanism-for-faster-crawling-1208.2808</loc><lastmod>2012-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-a-statistical-hypothesis-based-learning-mechanism-for-faster-crawling-1208.2808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-a-statistical-hypothesis-based-learning-mechanism-for-faster-crawling-1208.2808"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-events-and-patterns-in-large-scale-user-generated-textual-streams-with-statistical-learning-methods-1208.2873</loc><lastmod>2012-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-events-and-patterns-in-large-scale-user-generated-textual-streams-with-statistical-learning-methods-1208.2873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-events-and-patterns-in-large-scale-user-generated-textual-streams-with-statistical-learning-methods-1208.2873"/></url>
<url><loc>https://scifaro.com/en/abs/using-program-synthesis-for-social-recommendations-1208.2925</loc><lastmod>2012-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-program-synthesis-for-social-recommendations-1208.2925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-program-synthesis-for-social-recommendations-1208.2925"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-active-learning-of-halfspaces-an-aggressive-approach-1208.3561</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-active-learning-of-halfspaces-an-aggressive-approach-1208.3561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-active-learning-of-halfspaces-an-aggressive-approach-1208.3561"/></url>
<url><loc>https://scifaro.com/en/abs/an-improvement-direction-for-filter-selection-techniques-using-information-theory-measures-and-quadratic-optimization-1208.3689</loc><lastmod>2012-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improvement-direction-for-filter-selection-techniques-using-information-theory-measures-and-quadratic-optimization-1208.3689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improvement-direction-for-filter-selection-techniques-using-information-theory-measures-and-quadratic-optimization-1208.3689"/></url>
<url><loc>https://scifaro.com/en/abs/auto-weka-combined-selection-and-hyperparameter-optimization-of-classification-algorithms-1208.3719</loc><lastmod>2013-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-weka-combined-selection-and-hyperparameter-optimization-of-classification-algorithms-1208.3719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-weka-combined-selection-and-hyperparameter-optimization-of-classification-algorithms-1208.3719"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-graph-regularized-protein-domain-ranking-1208.3779</loc><lastmod>2013-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-graph-regularized-protein-domain-ranking-1208.3779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-graph-regularized-protein-domain-ranking-1208.3779"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-graph-via-multiple-kernel-learning-for-nonnegative-matrix-factorization-1208.3845</loc><lastmod>2013-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-graph-via-multiple-kernel-learning-for-nonnegative-matrix-factorization-1208.3845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-graph-via-multiple-kernel-learning-for-nonnegative-matrix-factorization-1208.3845"/></url>
<url><loc>https://scifaro.com/en/abs/performance-tuning-of-j48-algorithm-for-prediction-of-soil-fertility-1208.3943</loc><lastmod>2012-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-tuning-of-j48-algorithm-for-prediction-of-soil-fertility-1208.3943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-tuning-of-j48-algorithm-for-prediction-of-soil-fertility-1208.3943"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-clustering-ensemble-by-voting-1208.4138</loc><lastmod>2012-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-clustering-ensemble-by-voting-1208.4138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-clustering-ensemble-by-voting-1208.4138"/></url>
<url><loc>https://scifaro.com/en/abs/a-learning-theoretic-approach-to-energy-harvesting-communication-system-optimization-1208.4290</loc><lastmod>2013-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-learning-theoretic-approach-to-energy-harvesting-communication-system-optimization-1208.4290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-learning-theoretic-approach-to-energy-harvesting-communication-system-optimization-1208.4290"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-probabilities-of-languages-1208.5003</loc><lastmod>2014-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-probabilities-of-languages-1208.5003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-probabilities-of-languages-1208.5003"/></url>
<url><loc>https://scifaro.com/en/abs/vector-field-k-means-clustering-trajectories-by-fitting-multiple-vector-fields-1208.5801</loc><lastmod>2012-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vector-field-k-means-clustering-trajectories-by-fitting-multiple-vector-fields-1208.5801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vector-field-k-means-clustering-trajectories-by-fitting-multiple-vector-fields-1208.5801"/></url>
<url><loc>https://scifaro.com/en/abs/link-prediction-via-generalized-coupled-tensor-factorisation-1208.6231</loc><lastmod>2012-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/link-prediction-via-generalized-coupled-tensor-factorisation-1208.6231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/link-prediction-via-generalized-coupled-tensor-factorisation-1208.6231"/></url>
<url><loc>https://scifaro.com/en/abs/a-widely-applicable-bayesian-information-criterion-1208.6338</loc><lastmod>2012-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-widely-applicable-bayesian-information-criterion-1208.6338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-widely-applicable-bayesian-information-criterion-1208.6338"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-bound-for-the-nystrom-method-for-large-eigengap-1209.0001</loc><lastmod>2012-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-bound-for-the-nystrom-method-for-large-eigengap-1209.0001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-bound-for-the-nystrom-method-for-large-eigengap-1209.0001"/></url>
<url><loc>https://scifaro.com/en/abs/statistically-adaptive-learning-for-a-general-class-of-cost-functions-sa-l-bfgs-1209.0029</loc><lastmod>2012-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistically-adaptive-learning-for-a-general-class-of-cost-functions-sa-l-bfgs-1209.0029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistically-adaptive-learning-for-a-general-class-of-cost-functions-sa-l-bfgs-1209.0029"/></url>
<url><loc>https://scifaro.com/en/abs/autoregressive-short-term-prediction-of-turning-points-using-support-vector-regression-1209.0127</loc><lastmod>2012-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoregressive-short-term-prediction-of-turning-points-using-support-vector-regression-1209.0127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoregressive-short-term-prediction-of-turning-points-using-support-vector-regression-1209.0127"/></url>
<url><loc>https://scifaro.com/en/abs/fixed-rank-matrix-factorizations-and-riemannian-low-rank-optimization-1209.0430</loc><lastmod>2013-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixed-rank-matrix-factorizations-and-riemannian-low-rank-optimization-1209.0430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixed-rank-matrix-factorizations-and-riemannian-low-rank-optimization-1209.0430"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-em-training-of-gaussian-mixtures-with-missing-data-1209.0521</loc><lastmod>2018-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-em-training-of-gaussian-mixtures-with-missing-data-1209.0521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-em-training-of-gaussian-mixtures-with-missing-data-1209.0521"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-coding-for-multitask-and-transfer-learning-1209.0738</loc><lastmod>2014-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-coding-for-multitask-and-transfer-learning-1209.0738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-coding-for-multitask-and-transfer-learning-1209.0738"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-k-means-algorithm-using-improved-downhill-simplex-search-1209.0853</loc><lastmod>2012-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-k-means-algorithm-using-improved-downhill-simplex-search-1209.0853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-k-means-algorithm-using-improved-downhill-simplex-search-1209.0853"/></url>
<url><loc>https://scifaro.com/en/abs/structuring-relevant-feature-sets-with-multiple-model-learning-1209.0913</loc><lastmod>2012-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structuring-relevant-feature-sets-with-multiple-model-learning-1209.0913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structuring-relevant-feature-sets-with-multiple-model-learning-1209.0913"/></url>
<url><loc>https://scifaro.com/en/abs/learning-probability-measures-with-respect-to-optimal-transport-metrics-1209.1077</loc><lastmod>2012-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-probability-measures-with-respect-to-optimal-transport-metrics-1209.1077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-probability-measures-with-respect-to-optimal-transport-metrics-1209.1077"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-and-generalization-for-metric-learning-1209.1086</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-and-generalization-for-metric-learning-1209.1086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-and-generalization-for-metric-learning-1209.1086"/></url>
<url><loc>https://scifaro.com/en/abs/learning-manifolds-with-k-means-and-k-flats-1209.1121</loc><lastmod>2015-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-manifolds-with-k-means-and-k-flats-1209.1121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-manifolds-with-k-means-and-k-flats-1209.1121"/></url>
<url><loc>https://scifaro.com/en/abs/rank-centrality-ranking-from-pair-wise-comparisons-1209.1688</loc><lastmod>2015-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-centrality-ranking-from-pair-wise-comparisons-1209.1688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-centrality-ranking-from-pair-wise-comparisons-1209.1688"/></url>
<url><loc>https://scifaro.com/en/abs/design-of-spectrum-sensing-policy-for-multi-user-multi-band-cognitive-radio-network-1209.1739</loc><lastmod>2012-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/design-of-spectrum-sensing-policy-for-multi-user-multi-band-cognitive-radio-network-1209.1739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/design-of-spectrum-sensing-policy-for-multi-user-multi-band-cognitive-radio-network-1209.1739"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-of-mauc-in-multi-class-problems-with-uncertain-cost-matrices-1209.1800</loc><lastmod>2012-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-of-mauc-in-multi-class-problems-with-uncertain-cost-matrices-1209.1800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-of-mauc-in-multi-class-problems-with-uncertain-cost-matrices-1209.1800"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-study-of-efficient-initialization-methods-for-the-k-means-clustering-algorithm-1209.1960</loc><lastmod>2012-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-study-of-efficient-initialization-methods-for-the-k-means-clustering-algorithm-1209.1960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-study-of-efficient-initialization-methods-for-the-k-means-clustering-algorithm-1209.1960"/></url>
<url><loc>https://scifaro.com/en/abs/fused-multiple-graphical-lasso-1209.2139</loc><lastmod>2014-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fused-multiple-graphical-lasso-1209.2139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fused-multiple-graphical-lasso-1209.2139"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-reasoning-and-learning-systems-1209.2355</loc><lastmod>2013-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-reasoning-and-learning-systems-1209.2355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-reasoning-and-learning-systems-1209.2355"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-complexity-of-bandit-and-derivative-free-stochastic-convex-optimization-1209.2388</loc><lastmod>2013-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-complexity-of-bandit-and-derivative-free-stochastic-convex-optimization-1209.2388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-complexity-of-bandit-and-derivative-free-stochastic-convex-optimization-1209.2388"/></url>
<url><loc>https://scifaro.com/en/abs/performance-evaluation-of-predictive-classifiers-for-knowledge-discovery-from-engineering-materials-data-sets-1209.2501</loc><lastmod>2012-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-evaluation-of-predictive-classifiers-for-knowledge-discovery-from-engineering-materials-data-sets-1209.2501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-evaluation-of-predictive-classifiers-for-knowledge-discovery-from-engineering-materials-data-sets-1209.2501"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-validity-of-inductive-conformal-predictors-1209.2673</loc><lastmod>2012-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-validity-of-inductive-conformal-predictors-1209.2673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-validity-of-inductive-conformal-predictors-1209.2673"/></url>
<url><loc>https://scifaro.com/en/abs/regret-bounds-for-restless-markov-bandits-1209.2693</loc><lastmod>2012-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-bounds-for-restless-markov-bandits-1209.2693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-bounds-for-restless-markov-bandits-1209.2693"/></url>
<url><loc>https://scifaro.com/en/abs/multi-track-map-matching-1209.2759</loc><lastmod>2012-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-track-map-matching-1209.2759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-track-map-matching-1209.2759"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-multi-task-learning-and-a-generalized-loss-compositional-paradigm-for-mtl-1209.2784</loc><lastmod>2012-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-multi-task-learning-and-a-generalized-loss-compositional-paradigm-for-mtl-1209.2784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-multi-task-learning-and-a-generalized-loss-compositional-paradigm-for-mtl-1209.2784"/></url>
<url><loc>https://scifaro.com/en/abs/improving-energy-efficiency-in-femtocell-networks-a-hierarchical-reinforcement-learning-framework-1209.2790</loc><lastmod>2012-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-energy-efficiency-in-femtocell-networks-a-hierarchical-reinforcement-learning-framework-1209.2790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-energy-efficiency-in-femtocell-networks-a-hierarchical-reinforcement-learning-framework-1209.2790"/></url>
<url><loc>https://scifaro.com/en/abs/parametric-local-metric-learning-for-nearest-neighbor-classification-1209.3056</loc><lastmod>2012-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametric-local-metric-learning-for-nearest-neighbor-classification-1209.3056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametric-local-metric-learning-for-nearest-neighbor-classification-1209.3056"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-contextual-bandits-with-linear-payoffs-1209.3352</loc><lastmod>2014-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-contextual-bandits-with-linear-payoffs-1209.3352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-contextual-bandits-with-linear-payoffs-1209.3352"/></url>
<url><loc>https://scifaro.com/en/abs/further-optimal-regret-bounds-for-thompson-sampling-1209.3353</loc><lastmod>2012-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/further-optimal-regret-bounds-for-thompson-sampling-1209.3353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/further-optimal-regret-bounds-for-thompson-sampling-1209.3353"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-crowd-sourced-databases-1209.3686</loc><lastmod>2014-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-crowd-sourced-databases-1209.3686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-crowd-sourced-databases-1209.3686"/></url>
<url><loc>https://scifaro.com/en/abs/submodularity-in-batch-active-learning-and-survey-problems-on-gaussian-random-fields-1209.3694</loc><lastmod>2012-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/submodularity-in-batch-active-learning-and-survey-problems-on-gaussian-random-fields-1209.3694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/submodularity-in-batch-active-learning-and-survey-problems-on-gaussian-random-fields-1209.3694"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-regularized-least-squares-algorithms-for-conditional-ranking-on-relational-data-1209.4825</loc><lastmod>2013-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-regularized-least-squares-algorithms-for-conditional-ranking-on-relational-data-1209.4825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-regularized-least-squares-algorithms-for-conditional-ranking-on-relational-data-1209.4825"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-nonparametric-approach-to-image-super-resolution-1209.5019</loc><lastmod>2012-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-nonparametric-approach-to-image-super-resolution-1209.5019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-nonparametric-approach-to-image-super-resolution-1209.5019"/></url>
<url><loc>https://scifaro.com/en/abs/fast-randomized-model-generation-for-shapelet-based-time-series-classification-1209.5038</loc><lastmod>2012-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-randomized-model-generation-for-shapelet-based-time-series-classification-1209.5038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-randomized-model-generation-for-shapelet-based-time-series-classification-1209.5038"/></url>
<url><loc>https://scifaro.com/en/abs/towards-ultrahigh-dimensional-feature-selection-for-big-data-1209.5260</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-ultrahigh-dimensional-feature-selection-for-big-data-1209.5260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-ultrahigh-dimensional-feature-selection-for-big-data-1209.5260"/></url>
<url><loc>https://scifaro.com/en/abs/bprs-belief-propagation-based-iterative-recommender-system-1209.5335</loc><lastmod>2012-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bprs-belief-propagation-based-iterative-recommender-system-1209.5335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bprs-belief-propagation-based-iterative-recommender-system-1209.5335"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-blockmodelling-1209.5561</loc><lastmod>2012-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-blockmodelling-1209.5561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-blockmodelling-1209.5561"/></url>
<url><loc>https://scifaro.com/en/abs/locality-sensitive-hashing-with-margin-based-feature-selection-1209.5833</loc><lastmod>2012-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locality-sensitive-hashing-with-margin-based-feature-selection-1209.5833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locality-sensitive-hashing-with-margin-based-feature-selection-1209.5833"/></url>
<url><loc>https://scifaro.com/en/abs/subset-selection-for-gaussian-markov-random-fields-1209.5991</loc><lastmod>2012-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subset-selection-for-gaussian-markov-random-fields-1209.5991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subset-selection-for-gaussian-markov-random-fields-1209.5991"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-mixture-models-for-frequent-itemset-discovery-1209.6001</loc><lastmod>2012-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-mixture-models-for-frequent-itemset-discovery-1209.6001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-mixture-models-for-frequent-itemset-discovery-1209.6001"/></url>
<url><loc>https://scifaro.com/en/abs/movie-popularity-classification-based-on-inherent-movie-attributes-using-c4-5-part-and-correlation-coefficient-1209.6070</loc><lastmod>2012-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/movie-popularity-classification-based-on-inherent-movie-attributes-using-c4-5-part-and-correlation-coefficient-1209.6070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/movie-popularity-classification-based-on-inherent-movie-attributes-using-c4-5-part-and-correlation-coefficient-1209.6070"/></url>
<url><loc>https://scifaro.com/en/abs/more-is-better-large-scale-partially-supervised-sentiment-classification-appendix-1209.6329</loc><lastmod>2012-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/more-is-better-large-scale-partially-supervised-sentiment-classification-appendix-1209.6329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/more-is-better-large-scale-partially-supervised-sentiment-classification-appendix-1209.6329"/></url>
<url><loc>https://scifaro.com/en/abs/learning-robust-low-rank-representations-1209.6393</loc><lastmod>2012-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-robust-low-rank-representations-1209.6393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-robust-low-rank-representations-1209.6393"/></url>
<url><loc>https://scifaro.com/en/abs/a-deterministic-analysis-of-an-online-convex-mixture-of-expert-algorithms-1209.6409</loc><lastmod>2012-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deterministic-analysis-of-an-online-convex-mixture-of-expert-algorithms-1209.6409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deterministic-analysis-of-an-online-convex-mixture-of-expert-algorithms-1209.6409"/></url>
<url><loc>https://scifaro.com/en/abs/partial-gaussian-graphical-model-estimation-1209.6419</loc><lastmod>2012-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-gaussian-graphical-model-estimation-1209.6419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-gaussian-graphical-model-estimation-1209.6419"/></url>
<url><loc>https://scifaro.com/en/abs/gene-selection-with-guided-regularized-random-forest-1209.6425</loc><lastmod>2013-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gene-selection-with-guided-regularized-random-forest-1209.6425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gene-selection-with-guided-regularized-random-forest-1209.6425"/></url>
<url><loc>https://scifaro.com/en/abs/memory-constraint-online-multitask-classification-1210.0473</loc><lastmod>2012-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-constraint-online-multitask-classification-1210.0473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-constraint-online-multitask-classification-1210.0473"/></url>
<url><loc>https://scifaro.com/en/abs/inference-algorithms-for-pattern-based-crfs-on-sequence-data-1210.0508</loc><lastmod>2017-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-algorithms-for-pattern-based-crfs-on-sequence-data-1210.0508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-algorithms-for-pattern-based-crfs-on-sequence-data-1210.0508"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-unsupervised-classification-1210.0645</loc><lastmod>2013-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-unsupervised-classification-1210.0645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-unsupervised-classification-1210.0645"/></url>
<url><loc>https://scifaro.com/en/abs/tv-svm-total-variation-support-vector-machine-for-semi-supervised-data-classification-1210.0699</loc><lastmod>2012-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tv-svm-total-variation-support-vector-machine-for-semi-supervised-data-classification-1210.0699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tv-svm-total-variation-support-vector-machine-for-semi-supervised-data-classification-1210.0699"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-approaches-to-clustering-network-constrained-trajectory-data-1210.0762</loc><lastmod>2012-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-approaches-to-clustering-network-constrained-trajectory-data-1210.0762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-approaches-to-clustering-network-constrained-trajectory-data-1210.0762"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixtures-of-structured-distributions-over-discrete-domains-1210.0864</loc><lastmod>2012-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixtures-of-structured-distributions-over-discrete-domains-1210.0864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixtures-of-structured-distributions-over-discrete-domains-1210.0864"/></url>
<url><loc>https://scifaro.com/en/abs/unfolding-latent-tree-structures-using-4th-order-tensors-1210.1258</loc><lastmod>2012-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unfolding-latent-tree-structures-using-4th-order-tensors-1210.1258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unfolding-latent-tree-structures-using-4th-order-tensors-1210.1258"/></url>
<url><loc>https://scifaro.com/en/abs/learning-heterogeneous-similarity-measures-for-hybrid-recommendations-in-meta-mining-1210.1317</loc><lastmod>2012-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-heterogeneous-similarity-measures-for-hybrid-recommendations-in-meta-mining-1210.1317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-heterogeneous-similarity-measures-for-hybrid-recommendations-in-meta-mining-1210.1317"/></url>
<url><loc>https://scifaro.com/en/abs/a-scalable-cur-matrix-decomposition-algorithm-lower-time-complexity-and-tighter-bound-1210.1461</loc><lastmod>2012-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scalable-cur-matrix-decomposition-algorithm-lower-time-complexity-and-tighter-bound-1210.1461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scalable-cur-matrix-decomposition-algorithm-lower-time-complexity-and-tighter-bound-1210.1461"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-with-posterior-regularization-and-applications-to-infinite-latent-svms-1210.1766</loc><lastmod>2014-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-with-posterior-regularization-and-applications-to-infinite-latent-svms-1210.1766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-with-posterior-regularization-and-applications-to-infinite-latent-svms-1210.1766"/></url>
<url><loc>https://scifaro.com/en/abs/semisupervised-classifier-evaluation-and-recalibration-1210.2162</loc><lastmod>2012-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semisupervised-classifier-evaluation-and-recalibration-1210.2162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semisupervised-classifier-evaluation-and-recalibration-1210.2162"/></url>
<url><loc>https://scifaro.com/en/abs/et-lda-joint-topic-modeling-for-aligning-analyzing-and-sensemaking-of-public-events-and-their-twitter-feeds-1210.2164</loc><lastmod>2012-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/et-lda-joint-topic-modeling-for-aligning-analyzing-and-sensemaking-of-public-events-and-their-twitter-feeds-1210.2164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/et-lda-joint-topic-modeling-for-aligning-analyzing-and-sensemaking-of-public-events-and-their-twitter-feeds-1210.2164"/></url>
<url><loc>https://scifaro.com/en/abs/fast-online-em-for-big-topic-modeling-1210.2179</loc><lastmod>2015-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-online-em-for-big-topic-modeling-1210.2179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-online-em-for-big-topic-modeling-1210.2179"/></url>
<url><loc>https://scifaro.com/en/abs/blending-learning-and-inference-in-structured-prediction-1210.2346</loc><lastmod>2013-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blending-learning-and-inference-in-structured-prediction-1210.2346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blending-learning-and-inference-in-structured-prediction-1210.2346"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-constrained-clustering-with-an-incomplete-mapping-between-views-1210.2640</loc><lastmod>2014-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-constrained-clustering-with-an-incomplete-mapping-between-views-1210.2640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-constrained-clustering-with-an-incomplete-mapping-between-views-1210.2640"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-clonal-evolution-of-tumors-from-single-nucleotide-somatic-mutations-1210.3384</loc><lastmod>2013-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-clonal-evolution-of-tumors-from-single-nucleotide-somatic-mutations-1210.3384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-clonal-evolution-of-tumors-from-single-nucleotide-somatic-mutations-1210.3384"/></url>
<url><loc>https://scifaro.com/en/abs/the-perturbed-variation-1210.4006</loc><lastmod>2012-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-perturbed-variation-1210.4006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-perturbed-variation-1210.4006"/></url>
<url><loc>https://scifaro.com/en/abs/the-kernel-pitman-yor-process-1210.4184</loc><lastmod>2012-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-kernel-pitman-yor-process-1210.4184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-kernel-pitman-yor-process-1210.4184"/></url>
<url><loc>https://scifaro.com/en/abs/a-direct-approach-to-multi-class-boosting-and-extensions-1210.4601</loc><lastmod>2012-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-direct-approach-to-multi-class-boosting-and-extensions-1210.4601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-direct-approach-to-multi-class-boosting-and-extensions-1210.4601"/></url>
<url><loc>https://scifaro.com/en/abs/mean-field-learning-a-survey-1210.4657</loc><lastmod>2012-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-field-learning-a-survey-1210.4657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-field-learning-a-survey-1210.4657"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-side-observations-in-stochastic-bandits-1210.4839</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-side-observations-in-stochastic-bandits-1210.4839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-side-observations-in-stochastic-bandits-1210.4839"/></url>
<url><loc>https://scifaro.com/en/abs/variational-dual-tree-framework-for-large-scale-transition-matrix-approximation-1210.4846</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-dual-tree-framework-for-large-scale-transition-matrix-approximation-1210.4846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-dual-tree-framework-for-large-scale-transition-matrix-approximation-1210.4846"/></url>
<url><loc>https://scifaro.com/en/abs/markov-determinantal-point-processes-1210.4850</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-determinantal-point-processes-1210.4850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-determinantal-point-processes-1210.4850"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-rank-with-bregman-divergences-and-monotone-retargeting-1210.4851</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-rank-with-bregman-divergences-and-monotone-retargeting-1210.4851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-rank-with-bregman-divergences-and-monotone-retargeting-1210.4851"/></url>
<url><loc>https://scifaro.com/en/abs/a-slice-sampler-for-restricted-hierarchical-beta-process-with-applications-to-shared-subspace-learning-1210.4855</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-slice-sampler-for-restricted-hierarchical-beta-process-with-applications-to-shared-subspace-learning-1210.4855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-slice-sampler-for-restricted-hierarchical-beta-process-with-applications-to-shared-subspace-learning-1210.4855"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-compositionality-to-explore-a-large-space-of-model-structures-1210.4856</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-compositionality-to-explore-a-large-space-of-model-structures-1210.4856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-compositionality-to-explore-a-large-space-of-model-structures-1210.4856"/></url>
<url><loc>https://scifaro.com/en/abs/mechanism-design-for-cost-optimal-pac-learning-in-the-presence-of-strategic-noisy-annotators-1210.4859</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mechanism-design-for-cost-optimal-pac-learning-in-the-presence-of-strategic-noisy-annotators-1210.4859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mechanism-design-for-cost-optimal-pac-learning-in-the-presence-of-strategic-noisy-annotators-1210.4859"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-nonstationary-policy-evaluation-for-contextual-bandits-1210.4862</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-nonstationary-policy-evaluation-for-contextual-bandits-1210.4862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-nonstationary-policy-evaluation-for-contextual-bandits-1210.4862"/></url>
<url><loc>https://scifaro.com/en/abs/lifted-relational-variational-inference-1210.4867</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifted-relational-variational-inference-1210.4867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifted-relational-variational-inference-1210.4867"/></url>
<url><loc>https://scifaro.com/en/abs/response-aware-model-based-collaborative-filtering-1210.4869</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/response-aware-model-based-collaborative-filtering-1210.4869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/response-aware-model-based-collaborative-filtering-1210.4869"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixtures-of-submodular-shells-with-application-to-document-summarization-1210.4871</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixtures-of-submodular-shells-with-application-to-document-summarization-1210.4871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixtures-of-submodular-shells-with-application-to-document-summarization-1210.4871"/></url>
<url><loc>https://scifaro.com/en/abs/nested-dictionary-learning-for-hierarchical-organization-of-imagery-and-text-1210.4872</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-dictionary-learning-for-hierarchical-organization-of-imagery-and-text-1210.4872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-dictionary-learning-for-hierarchical-organization-of-imagery-and-text-1210.4872"/></url>
<url><loc>https://scifaro.com/en/abs/active-imitation-learning-via-reduction-to-i-i-d-active-learning-1210.4876</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-imitation-learning-via-reduction-to-i-i-d-active-learning-1210.4876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-imitation-learning-via-reduction-to-i-i-d-active-learning-1210.4876"/></url>
<url><loc>https://scifaro.com/en/abs/tightening-fractional-covering-upper-bounds-on-the-partition-function-for-high-order-region-graphs-1210.4881</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tightening-fractional-covering-upper-bounds-on-the-partition-function-for-high-order-region-graphs-1210.4881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tightening-fractional-covering-upper-bounds-on-the-partition-function-for-high-order-region-graphs-1210.4881"/></url>
<url><loc>https://scifaro.com/en/abs/a-model-based-approach-to-rounding-in-spectral-clustering-1210.4883</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-model-based-approach-to-rounding-in-spectral-clustering-1210.4883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-model-based-approach-to-rounding-in-spectral-clustering-1210.4883"/></url>
<url><loc>https://scifaro.com/en/abs/a-spectral-algorithm-for-latent-junction-trees-1210.4884</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spectral-algorithm-for-latent-junction-trees-1210.4884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spectral-algorithm-for-latent-junction-trees-1210.4884"/></url>
<url><loc>https://scifaro.com/en/abs/hilbert-space-embeddings-of-pomdps-1210.4887</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hilbert-space-embeddings-of-pomdps-1210.4887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hilbert-space-embeddings-of-pomdps-1210.4887"/></url>
<url><loc>https://scifaro.com/en/abs/local-structure-discovery-in-bayesian-networks-1210.4888</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-structure-discovery-in-bayesian-networks-1210.4888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-structure-discovery-in-bayesian-networks-1210.4888"/></url>
<url><loc>https://scifaro.com/en/abs/learning-strips-operators-from-noisy-and-incomplete-observations-1210.4889</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-strips-operators-from-noisy-and-incomplete-observations-1210.4889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-strips-operators-from-noisy-and-incomplete-observations-1210.4889"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-joint-alignment-and-clustering-using-bayesian-nonparametrics-1210.4892</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-joint-alignment-and-clustering-using-bayesian-nonparametrics-1210.4892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-joint-alignment-and-clustering-using-bayesian-nonparametrics-1210.4892"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-q-learning-with-mirror-descent-1210.4893</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-q-learning-with-mirror-descent-1210.4893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-q-learning-with-mirror-descent-1210.4893"/></url>
<url><loc>https://scifaro.com/en/abs/closed-form-learning-of-markov-networks-from-dependency-networks-1210.4896</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/closed-form-learning-of-markov-networks-from-dependency-networks-1210.4896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/closed-form-learning-of-markov-networks-from-dependency-networks-1210.4896"/></url>
<url><loc>https://scifaro.com/en/abs/value-function-approximation-in-noisy-environments-using-locally-smoothed-regularized-approximate-linear-programs-1210.4898</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/value-function-approximation-in-noisy-environments-using-locally-smoothed-regularized-approximate-linear-programs-1210.4898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/value-function-approximation-in-noisy-environments-using-locally-smoothed-regularized-approximate-linear-programs-1210.4898"/></url>
<url><loc>https://scifaro.com/en/abs/fast-exact-inference-for-recursive-cardinality-models-1210.4899</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-exact-inference-for-recursive-cardinality-models-1210.4899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-exact-inference-for-recursive-cardinality-models-1210.4899"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-with-distributional-estimates-1210.4909</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-with-distributional-estimates-1210.4909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-with-distributional-estimates-1210.4909"/></url>
<url><loc>https://scifaro.com/en/abs/latent-structured-ranking-1210.4914</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-structured-ranking-1210.4914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-structured-ranking-1210.4914"/></url>
<url><loc>https://scifaro.com/en/abs/fast-graph-construction-using-auction-algorithm-1210.4917</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-graph-construction-using-auction-algorithm-1210.4917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-graph-construction-using-auction-algorithm-1210.4917"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-teaching-in-sequential-decision-making-environments-1210.4918</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-teaching-in-sequential-decision-making-environments-1210.4918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-teaching-in-sequential-decision-making-environments-1210.4918"/></url>
<url><loc>https://scifaro.com/en/abs/latent-dirichlet-allocation-uncovers-spectral-characteristics-of-drought-stressed-plants-1210.4919</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-dirichlet-allocation-uncovers-spectral-characteristics-of-drought-stressed-plants-1210.4919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-dirichlet-allocation-uncovers-spectral-characteristics-of-drought-stressed-plants-1210.4919"/></url>
<url><loc>https://scifaro.com/en/abs/factorized-multi-modal-topic-model-1210.4920</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factorized-multi-modal-topic-model-1210.4920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factorized-multi-modal-topic-model-1210.4920"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-computational-trade-off-of-inexact-proximal-methods-1210.5034</loc><lastmod>2012-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-computational-trade-off-of-inexact-proximal-methods-1210.5034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-computational-trade-off-of-inexact-proximal-methods-1210.5034"/></url>
<url><loc>https://scifaro.com/en/abs/lsbn-a-large-scale-bayesian-structure-learning-framework-for-model-averaging-1210.5135</loc><lastmod>2012-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lsbn-a-large-scale-bayesian-structure-learning-framework-for-model-averaging-1210.5135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lsbn-a-large-scale-bayesian-structure-learning-framework-for-model-averaging-1210.5135"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-estimation-for-continuous-time-sparse-stochastic-processes-1210.5394</loc><lastmod>2015-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-estimation-for-continuous-time-sparse-stochastic-processes-1210.5394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-estimation-for-continuous-time-sparse-stochastic-processes-1210.5394"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-in-decentralized-multiuser-resource-sharing-problems-1210.5544</loc><lastmod>2012-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-in-decentralized-multiuser-resource-sharing-problems-1210.5544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-in-decentralized-multiuser-resource-sharing-problems-1210.5544"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-learning-with-similarity-functions-1210.5840</loc><lastmod>2012-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-learning-with-similarity-functions-1210.5840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-learning-with-similarity-functions-1210.5840"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-statistical-time-series-problems-to-binary-classification-1210.6001</loc><lastmod>2013-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-statistical-time-series-problems-to-binary-classification-1210.6001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-statistical-time-series-problems-to-binary-classification-1210.6001"/></url>
<url><loc>https://scifaro.com/en/abs/a-density-sensitive-hierarchical-clustering-method-1210.6292</loc><lastmod>2014-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-density-sensitive-hierarchical-clustering-method-1210.6292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-density-sensitive-hierarchical-clustering-method-1210.6292"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-hidden-markov-models-with-variational-hem-1210.6707</loc><lastmod>2012-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-hidden-markov-models-with-variational-hem-1210.6707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-hidden-markov-models-with-variational-hem-1210.6707"/></url>
<url><loc>https://scifaro.com/en/abs/structured-sparsity-models-for-multiparty-speech-recovery-from-reverberant-recordings-1210.6766</loc><lastmod>2012-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-sparsity-models-for-multiparty-speech-recovery-from-reverberant-recordings-1210.6766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-sparsity-models-for-multiparty-speech-recovery-from-reverberant-recordings-1210.6766"/></url>
<url><loc>https://scifaro.com/en/abs/selective-transfer-learning-for-cross-domain-recommendation-1210.7056</loc><lastmod>2012-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-transfer-learning-for-cross-domain-recommendation-1210.7056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-transfer-learning-for-cross-domain-recommendation-1210.7056"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-decompositions-for-learning-latent-variable-models-1210.7559</loc><lastmod>2014-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-decompositions-for-learning-latent-variable-models-1210.7559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-decompositions-for-learning-latent-variable-models-1210.7559"/></url>
<url><loc>https://scifaro.com/en/abs/text-classification-with-compression-algorithms-1210.7657</loc><lastmod>2012-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/text-classification-with-compression-algorithms-1210.7657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/text-classification-with-compression-algorithms-1210.7657"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-the-model-space-for-fault-diagnosis-1210.8291</loc><lastmod>2012-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-the-model-space-for-fault-diagnosis-1210.8291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-the-model-space-for-fault-diagnosis-1210.8291"/></url>
<url><loc>https://scifaro.com/en/abs/venn-abers-predictors-1211.0025</loc><lastmod>2014-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/venn-abers-predictors-1211.0025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/venn-abers-predictors-1211.0025"/></url>
<url><loc>https://scifaro.com/en/abs/extension-of-tsvm-to-multi-class-and-hierarchical-text-classification-problems-with-general-losses-1211.0210</loc><lastmod>2012-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extension-of-tsvm-to-multi-class-and-hierarchical-text-classification-problems-with-general-losses-1211.0210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extension-of-tsvm-to-multi-class-and-hierarchical-text-classification-problems-with-general-losses-1211.0210"/></url>
<url><loc>https://scifaro.com/en/abs/learning-curves-for-multi-task-gaussian-process-regression-1211.0439</loc><lastmod>2012-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-curves-for-multi-task-gaussian-process-regression-1211.0439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-curves-for-multi-task-gaussian-process-regression-1211.0439"/></url>
<url><loc>https://scifaro.com/en/abs/the-complexity-of-learning-halfspaces-using-generalized-linear-methods-1211.0616</loc><lastmod>2014-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-complexity-of-learning-halfspaces-using-generalized-linear-methods-1211.0616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-complexity-of-learning-halfspaces-using-generalized-linear-methods-1211.0616"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-admm-for-nonsmooth-optimization-1211.0632</loc><lastmod>2013-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-admm-for-nonsmooth-optimization-1211.0632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-admm-for-nonsmooth-optimization-1211.0632"/></url>
<url><loc>https://scifaro.com/en/abs/learning-using-local-membership-queries-1211.0996</loc><lastmod>2013-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-using-local-membership-queries-1211.0996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-using-local-membership-queries-1211.0996"/></url>
<url><loc>https://scifaro.com/en/abs/soft-gaussian-cde-regression-models-and-loss-functions-1211.1043</loc><lastmod>2012-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-gaussian-cde-regression-models-and-loss-functions-1211.1043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-gaussian-cde-regression-models-and-loss-functions-1211.1043"/></url>
<url><loc>https://scifaro.com/en/abs/active-and-passive-learning-of-linear-separators-under-log-concave-distributions-1211.1082</loc><lastmod>2013-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-and-passive-learning-of-linear-separators-under-log-concave-distributions-1211.1082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-and-passive-learning-of-linear-separators-under-log-concave-distributions-1211.1082"/></url>
<url><loc>https://scifaro.com/en/abs/handwritten-digit-recognition-by-bio-inspired-hierarchical-networks-1211.1255</loc><lastmod>2012-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/handwritten-digit-recognition-by-bio-inspired-hierarchical-networks-1211.1255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/handwritten-digit-recognition-by-bio-inspired-hierarchical-networks-1211.1255"/></url>
<url><loc>https://scifaro.com/en/abs/k-plane-regression-1211.1513</loc><lastmod>2014-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-plane-regression-1211.1513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-plane-regression-1211.1513"/></url>
<url><loc>https://scifaro.com/en/abs/a-riemannian-geometry-for-low-rank-matrix-completion-1211.1550</loc><lastmod>2012-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-riemannian-geometry-for-low-rank-matrix-completion-1211.1550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-riemannian-geometry-for-low-rank-matrix-completion-1211.1550"/></url>
<url><loc>https://scifaro.com/en/abs/blind-signal-separation-in-the-presence-of-gaussian-noise-1211.1716</loc><lastmod>2013-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blind-signal-separation-in-the-presence-of-gaussian-noise-1211.1716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blind-signal-separation-in-the-presence-of-gaussian-noise-1211.1716"/></url>
<url><loc>https://scifaro.com/en/abs/algorithm-for-missing-values-imputation-in-categorical-data-with-use-of-association-rules-1211.1799</loc><lastmod>2012-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithm-for-missing-values-imputation-in-categorical-data-with-use-of-association-rules-1211.1799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithm-for-missing-values-imputation-in-categorical-data-with-use-of-association-rules-1211.1799"/></url>
<url><loc>https://scifaro.com/en/abs/tangent-based-manifold-approximation-with-locally-linear-models-1211.1893</loc><lastmod>2015-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tangent-based-manifold-approximation-with-locally-linear-models-1211.1893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tangent-based-manifold-approximation-with-locally-linear-models-1211.1893"/></url>
<url><loc>https://scifaro.com/en/abs/lage-a-java-framework-to-reconstruct-gene-regulatory-networks-from-large-scale-continues-expression-data-1211.2073</loc><lastmod>2012-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lage-a-java-framework-to-reconstruct-gene-regulatory-networks-from-large-scale-continues-expression-data-1211.2073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lage-a-java-framework-to-reconstruct-gene-regulatory-networks-from-large-scale-continues-expression-data-1211.2073"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-monte-carlo-methods-for-multi-dimensional-learning-with-classifier-chains-1211.2190</loc><lastmod>2014-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-monte-carlo-methods-for-multi-dimensional-learning-with-classifier-chains-1211.2190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-monte-carlo-methods-for-multi-dimensional-learning-with-classifier-chains-1211.2190"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-of-simplices-1211.2227</loc><lastmod>2013-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-of-simplices-1211.2227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-of-simplices-1211.2227"/></url>
<url><loc>https://scifaro.com/en/abs/no-regret-algorithms-for-unconstrained-online-convex-optimization-1211.2260</loc><lastmod>2012-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-regret-algorithms-for-unconstrained-online-convex-optimization-1211.2260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-regret-algorithms-for-unconstrained-online-convex-optimization-1211.2260"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-combination-of-classifier-and-cluster-ensembles-for-non-transductive-learning-1211.2304</loc><lastmod>2015-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-combination-of-classifier-and-cluster-ensembles-for-non-transductive-learning-1211.2304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-combination-of-classifier-and-cluster-ensembles-for-non-transductive-learning-1211.2304"/></url>
<url><loc>https://scifaro.com/en/abs/measures-of-entropy-from-data-using-infinitely-divisible-kernels-1211.2459</loc><lastmod>2014-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measures-of-entropy-from-data-using-infinitely-divisible-kernels-1211.2459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measures-of-entropy-from-data-using-infinitely-divisible-kernels-1211.2459"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-study-of-gaussian-mixture-model-and-radial-basis-function-for-voice-recognition-1211.2556</loc><lastmod>2012-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-study-of-gaussian-mixture-model-and-radial-basis-function-for-voice-recognition-1211.2556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-study-of-gaussian-mixture-model-and-radial-basis-function-for-voice-recognition-1211.2556"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-the-optimal-solution-by-dual-random-projection-1211.3046</loc><lastmod>2014-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-the-optimal-solution-by-dual-random-projection-1211.3046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-the-optimal-solution-by-dual-random-projection-1211.3046"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-non-stochastic-experts-1211.3212</loc><lastmod>2012-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-non-stochastic-experts-1211.3212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-non-stochastic-experts-1211.3212"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-clustering-an-empirical-study-of-approximation-algorithms-and-its-application-to-the-attrition-problem-1211.3444</loc><lastmod>2012-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-clustering-an-empirical-study-of-approximation-algorithms-and-its-application-to-the-attrition-problem-1211.3444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-clustering-an-empirical-study-of-approximation-algorithms-and-its-application-to-the-attrition-problem-1211.3444"/></url>
<url><loc>https://scifaro.com/en/abs/objective-improvement-in-information-geometric-optimization-1211.3831</loc><lastmod>2013-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/objective-improvement-in-information-geometric-optimization-1211.3831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/objective-improvement-in-information-geometric-optimization-1211.3831"/></url>
<url><loc>https://scifaro.com/en/abs/lasso-screening-rules-via-dual-polytope-projection-1211.3966</loc><lastmod>2014-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lasso-screening-rules-via-dual-polytope-projection-1211.3966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lasso-screening-rules-via-dual-polytope-projection-1211.3966"/></url>
<url><loc>https://scifaro.com/en/abs/the-algebraic-combinatorial-approach-for-low-rank-matrix-completion-1211.4116</loc><lastmod>2014-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-algebraic-combinatorial-approach-for-low-rank-matrix-completion-1211.4116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-algebraic-combinatorial-approach-for-low-rank-matrix-completion-1211.4116"/></url>
<url><loc>https://scifaro.com/en/abs/what-regularized-auto-encoders-learn-from-the-data-generating-distribution-1211.4246</loc><lastmod>2014-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-regularized-auto-encoders-learn-from-the-data-generating-distribution-1211.4246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-regularized-auto-encoders-learn-from-the-data-generating-distribution-1211.4246"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-three-graph-laplacian-based-semi-supervised-learning-methods-to-protein-function-prediction-problem-1211.4289</loc><lastmod>2013-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-three-graph-laplacian-based-semi-supervised-learning-methods-to-protein-function-prediction-problem-1211.4289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-three-graph-laplacian-based-semi-supervised-learning-methods-to-protein-function-prediction-problem-1211.4289"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-gaussian-process-conditional-heteroscedasticity-1211.4410</loc><lastmod>2013-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-gaussian-process-conditional-heteroscedasticity-1211.4410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-gaussian-process-conditional-heteroscedasticity-1211.4410"/></url>
<url><loc>https://scifaro.com/en/abs/forest-sparsity-for-multi-channel-compressive-sensing-1211.4657</loc><lastmod>2014-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forest-sparsity-for-multi-channel-compressive-sensing-1211.4657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forest-sparsity-for-multi-channel-compressive-sensing-1211.4657"/></url>
<url><loc>https://scifaro.com/en/abs/a-traveling-salesman-learns-bayesian-networks-1211.4888</loc><lastmod>2012-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-traveling-salesman-learns-bayesian-networks-1211.4888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-traveling-salesman-learns-bayesian-networks-1211.4888"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-difficulty-of-training-recurrent-neural-networks-1211.5063</loc><lastmod>2013-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-difficulty-of-training-recurrent-neural-networks-1211.5063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-difficulty-of-training-recurrent-neural-networks-1211.5063"/></url>
<url><loc>https://scifaro.com/en/abs/texture-modeling-with-convolutional-spike-and-slab-rbms-and-deep-extensions-1211.5687</loc><lastmod>2012-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/texture-modeling-with-convolutional-spike-and-slab-rbms-and-deep-extensions-1211.5687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/texture-modeling-with-convolutional-spike-and-slab-rbms-and-deep-extensions-1211.5687"/></url>
<url><loc>https://scifaro.com/en/abs/online-stochastic-optimization-with-multiple-objectives-1211.6013</loc><lastmod>2013-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-stochastic-optimization-with-multiple-objectives-1211.6013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-stochastic-optimization-with-multiple-objectives-1211.6013"/></url>
<url><loc>https://scifaro.com/en/abs/random-projections-for-linear-support-vector-machines-1211.6085</loc><lastmod>2014-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-projections-for-linear-support-vector-machines-1211.6085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-projections-for-linear-support-vector-machines-1211.6085"/></url>
<url><loc>https://scifaro.com/en/abs/the-interplay-between-stability-and-regret-in-online-learning-1211.6158</loc><lastmod>2012-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-interplay-between-stability-and-regret-in-online-learning-1211.6158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-interplay-between-stability-and-regret-in-online-learning-1211.6158"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-non-parametric-topic-mixture-for-authors-and-documents-1211.6248</loc><lastmod>2012-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-non-parametric-topic-mixture-for-authors-and-documents-1211.6248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-non-parametric-topic-mixture-for-authors-and-documents-1211.6248"/></url>
<url><loc>https://scifaro.com/en/abs/duality-between-subgradient-and-conditional-gradient-methods-1211.6302</loc><lastmod>2013-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/duality-between-subgradient-and-conditional-gradient-methods-1211.6302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/duality-between-subgradient-and-conditional-gradient-methods-1211.6302"/></url>
<url><loc>https://scifaro.com/en/abs/an-approach-of-improving-students-academic-performance-by-using-k-means-clustering-algorithm-and-decision-tree-1211.6340</loc><lastmod>2012-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-approach-of-improving-students-academic-performance-by-using-k-means-clustering-algorithm-and-decision-tree-1211.6340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-approach-of-improving-students-academic-performance-by-using-k-means-clustering-algorithm-and-decision-tree-1211.6340"/></url>
<url><loc>https://scifaro.com/en/abs/multi-target-regression-via-input-space-expansion-treating-targets-as-inputs-1211.6581</loc><lastmod>2016-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-target-regression-via-input-space-expansion-treating-targets-as-inputs-1211.6581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-target-regression-via-input-space-expansion-treating-targets-as-inputs-1211.6581"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-bayesian-mixed-effect-model-a-sparse-gaussian-process-approach-1211.6653</loc><lastmod>2012-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-bayesian-mixed-effect-model-a-sparse-gaussian-process-approach-1211.6653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-bayesian-mixed-effect-model-a-sparse-gaussian-process-approach-1211.6653"/></url>
<url><loc>https://scifaro.com/en/abs/classification-recouvrante-bas-ee-sur-les-m-ethodes-a-noyau-1211.6851</loc><lastmod>2012-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-recouvrante-bas-ee-sur-les-m-ethodes-a-noyau-1211.6851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-recouvrante-bas-ee-sur-les-m-ethodes-a-noyau-1211.6851"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-use-of-non-stationary-policies-for-stationary-infinite-horizon-markov-decision-processes-1211.6898</loc><lastmod>2012-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-use-of-non-stationary-policies-for-stationary-infinite-horizon-markov-decision-processes-1211.6898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-use-of-non-stationary-policies-for-stationary-infinite-horizon-markov-decision-processes-1211.6898"/></url>
<url><loc>https://scifaro.com/en/abs/orientation-determination-from-cryo-em-images-using-least-unsquared-deviation-1211.7045</loc><lastmod>2013-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orientation-determination-from-cryo-em-images-using-least-unsquared-deviation-1211.7045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orientation-determination-from-cryo-em-images-using-least-unsquared-deviation-1211.7045"/></url>
<url><loc>https://scifaro.com/en/abs/cumulative-step-size-adaptation-on-linear-functions-1212.0139</loc><lastmod>2013-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cumulative-step-size-adaptation-on-linear-functions-1212.0139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cumulative-step-size-adaptation-on-linear-functions-1212.0139"/></url>
<url><loc>https://scifaro.com/en/abs/training-support-vector-machines-using-frank-wolfe-optimization-methods-1212.0695</loc><lastmod>2014-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-support-vector-machines-using-frank-wolfe-optimization-methods-1212.0695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-support-vector-machines-using-frank-wolfe-optimization-methods-1212.0695"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-recommender-system-using-cluster-based-biases-to-improve-the-accuracy-of-the-predictions-1212.0763</loc><lastmod>2012-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-recommender-system-using-cluster-based-biases-to-improve-the-accuracy-of-the-predictions-1212.0763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-recommender-system-using-cluster-based-biases-to-improve-the-accuracy-of-the-predictions-1212.0763"/></url>
<url><loc>https://scifaro.com/en/abs/advances-in-optimizing-recurrent-networks-1212.0901</loc><lastmod>2012-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advances-in-optimizing-recurrent-networks-1212.0901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advances-in-optimizing-recurrent-networks-1212.0901"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-classifiers-without-expert-labels-1212.0960</loc><lastmod>2012-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-classifiers-without-expert-labels-1212.0960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-classifiers-without-expert-labels-1212.0960"/></url>
<url><loc>https://scifaro.com/en/abs/cost-sensitive-support-vector-machines-1212.0975</loc><lastmod>2015-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-sensitive-support-vector-machines-1212.0975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-sensitive-support-vector-machines-1212.0975"/></url>
<url><loc>https://scifaro.com/en/abs/making-early-predictions-of-the-accuracy-of-machine-learning-applications-1212.1100</loc><lastmod>2012-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-early-predictions-of-the-accuracy-of-machine-learning-applications-1212.1100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-early-predictions-of-the-accuracy-of-machine-learning-applications-1212.1100"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-properties-of-optimal-adaboost-1212.1108</loc><lastmod>2023-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-properties-of-optimal-adaboost-1212.1108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-properties-of-optimal-adaboost-1212.1108"/></url>
<url><loc>https://scifaro.com/en/abs/using-wikipedia-to-boost-svd-recommender-systems-1212.1131</loc><lastmod>2012-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-wikipedia-to-boost-svd-recommender-systems-1212.1131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-wikipedia-to-boost-svd-recommender-systems-1212.1131"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixtures-of-arbitrary-distributions-over-large-discrete-domains-1212.1527</loc><lastmod>2013-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixtures-of-arbitrary-distributions-over-large-discrete-domains-1212.1527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixtures-of-arbitrary-distributions-over-large-discrete-domains-1212.1527"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-descent-for-non-smooth-optimization-convergence-results-and-optimal-averaging-schemes-1212.1824</loc><lastmod>2013-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-descent-for-non-smooth-optimization-convergence-results-and-optimal-averaging-schemes-1212.1824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-descent-for-non-smooth-optimization-convergence-results-and-optimal-averaging-schemes-1212.1824"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-sequence-transduction-1212.1936</loc><lastmod>2012-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-sequence-transduction-1212.1936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-sequence-transduction-1212.1936"/></url>
<url><loc>https://scifaro.com/en/abs/a-simpler-approach-to-obtaining-an-o-1-t-convergence-rate-for-the-projected-stochastic-subgradient-method-1212.2002</loc><lastmod>2012-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simpler-approach-to-obtaining-an-o-1-t-convergence-rate-for-the-projected-stochastic-subgradient-method-1212.2002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simpler-approach-to-obtaining-an-o-1-t-convergence-rate-for-the-projected-stochastic-subgradient-method-1212.2002"/></url>
<url><loc>https://scifaro.com/en/abs/a-class-of-random-fields-on-complete-graphs-with-tractable-partition-function-1212.2136</loc><lastmod>2013-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-class-of-random-fields-on-complete-graphs-with-tractable-partition-function-1212.2136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-class-of-random-fields-on-complete-graphs-with-tractable-partition-function-1212.2136"/></url>
<url><loc>https://scifaro.com/en/abs/bag-of-words-representation-for-biomedical-time-series-classification-1212.2262</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bag-of-words-representation-for-biomedical-time-series-classification-1212.2262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bag-of-words-representation-for-biomedical-time-series-classification-1212.2262"/></url>
<url><loc>https://scifaro.com/en/abs/robust-face-recognition-using-local-illumination-normalization-and-discriminant-feature-point-selection-1212.2415</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-face-recognition-using-local-illumination-normalization-and-discriminant-feature-point-selection-1212.2415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-face-recognition-using-local-illumination-normalization-and-discriminant-feature-point-selection-1212.2415"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-hierarchical-mixtures-of-experts-1212.2447</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-hierarchical-mixtures-of-experts-1212.2447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-hierarchical-mixtures-of-experts-1212.2447"/></url>
<url><loc>https://scifaro.com/en/abs/the-information-bottleneck-em-algorithm-1212.2460</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-information-bottleneck-em-algorithm-1212.2460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-information-bottleneck-em-algorithm-1212.2460"/></url>
<url><loc>https://scifaro.com/en/abs/on-information-regularization-1212.2466</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-information-regularization-1212.2466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-information-regularization-1212.2466"/></url>
<url><loc>https://scifaro.com/en/abs/large-sample-learning-of-bayesian-networks-is-np-hard-1212.2468</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-sample-learning-of-bayesian-networks-is-np-hard-1212.2468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-sample-learning-of-bayesian-networks-is-np-hard-1212.2468"/></url>
<url><loc>https://scifaro.com/en/abs/reasoning-about-bayesian-network-classifiers-1212.2470</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reasoning-about-bayesian-network-classifiers-1212.2470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reasoning-about-bayesian-network-classifiers-1212.2470"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-matrix-inversion-policy-evaluation-1212.2471</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-matrix-inversion-policy-evaluation-1212.2471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-matrix-inversion-policy-evaluation-1212.2471"/></url>
<url><loc>https://scifaro.com/en/abs/budgeted-learning-of-naive-bayes-classifiers-1212.2472</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/budgeted-learning-of-naive-bayes-classifiers-1212.2472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/budgeted-learning-of-naive-bayes-classifiers-1212.2472"/></url>
<url><loc>https://scifaro.com/en/abs/learning-riemannian-metrics-1212.2474</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-riemannian-metrics-1212.2474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-riemannian-metrics-1212.2474"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-gradient-estimation-for-motor-control-learning-1212.2475</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-gradient-estimation-for-motor-control-learning-1212.2475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-gradient-estimation-for-motor-control-learning-1212.2475"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-inference-and-constrained-optimization-1212.2480</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-inference-and-constrained-optimization-1212.2480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-inference-and-constrained-optimization-1212.2480"/></url>
<url><loc>https://scifaro.com/en/abs/sufficient-dimensionality-reduction-with-irrelevant-statistics-1212.2483</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sufficient-dimensionality-reduction-with-irrelevant-statistics-1212.2483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sufficient-dimensionality-reduction-with-irrelevant-statistics-1212.2483"/></url>
<url><loc>https://scifaro.com/en/abs/locally-weighted-naive-bayes-1212.2487</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-weighted-naive-bayes-1212.2487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-weighted-naive-bayes-1212.2487"/></url>
<url><loc>https://scifaro.com/en/abs/a-distance-based-branch-and-bound-feature-selection-algorithm-1212.2488</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distance-based-branch-and-bound-feature-selection-algorithm-1212.2488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distance-based-branch-and-bound-feature-selection-algorithm-1212.2488"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-bound-optimization-algorithms-1212.2490</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-bound-optimization-algorithms-1212.2490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-bound-optimization-algorithms-1212.2490"/></url>
<url><loc>https://scifaro.com/en/abs/automated-analytic-asymptotic-evaluation-of-the-marginal-likelihood-for-latent-models-1212.2491</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-analytic-asymptotic-evaluation-of-the-marginal-likelihood-for-latent-models-1212.2491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-analytic-asymptotic-evaluation-of-the-marginal-likelihood-for-latent-models-1212.2491"/></url>
<url><loc>https://scifaro.com/en/abs/learning-generative-models-of-similarity-matrices-1212.2494</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-generative-models-of-similarity-matrices-1212.2494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-generative-models-of-similarity-matrices-1212.2494"/></url>
<url><loc>https://scifaro.com/en/abs/learning-continuous-time-bayesian-networks-1212.2498</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-continuous-time-bayesian-networks-1212.2498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-continuous-time-bayesian-networks-1212.2498"/></url>
<url><loc>https://scifaro.com/en/abs/on-local-optima-in-learning-bayesian-networks-1212.2500</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-local-optima-in-learning-bayesian-networks-1212.2500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-local-optima-in-learning-bayesian-networks-1212.2500"/></url>
<url><loc>https://scifaro.com/en/abs/efficiently-inducing-features-of-conditional-random-fields-1212.2504</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiently-inducing-features-of-conditional-random-fields-1212.2504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiently-inducing-features-of-conditional-random-fields-1212.2504"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-ensemble-learning-combining-collaborative-and-content-based-information-filtering-via-hierarchical-bayes-1212.2508</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-ensemble-learning-combining-collaborative-and-content-based-information-filtering-via-hierarchical-bayes-1212.2508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-ensemble-learning-combining-collaborative-and-content-based-information-filtering-via-hierarchical-bayes-1212.2508"/></url>
<url><loc>https://scifaro.com/en/abs/markov-random-walk-representations-with-continuous-distributions-1212.2510</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-random-walk-representations-with-continuous-distributions-1212.2510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-random-walk-representations-with-continuous-distributions-1212.2510"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-complexity-of-bayesian-networks-1212.2511</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-complexity-of-bayesian-networks-1212.2511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-complexity-of-bayesian-networks-1212.2511"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-mean-field-algorithm-for-variational-inference-in-exponential-families-1212.2512</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-mean-field-algorithm-for-variational-inference-in-exponential-families-1212.2512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-mean-field-algorithm-for-variational-inference-in-exponential-families-1212.2512"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-parametric-projection-pursuit-density-estimation-1212.2513</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-parametric-projection-pursuit-density-estimation-1212.2513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-parametric-projection-pursuit-density-estimation-1212.2513"/></url>
<url><loc>https://scifaro.com/en/abs/boltzmann-machine-learning-with-the-latent-maximum-entropy-principle-1212.2514</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boltzmann-machine-learning-with-the-latent-maximum-entropy-principle-1212.2514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boltzmann-machine-learning-with-the-latent-maximum-entropy-principle-1212.2514"/></url>
<url><loc>https://scifaro.com/en/abs/learning-measurement-models-for-unobserved-variables-1212.2516</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-measurement-models-for-unobserved-variables-1212.2516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-measurement-models-for-unobserved-variables-1212.2516"/></url>
<url><loc>https://scifaro.com/en/abs/learning-module-networks-1212.2517</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-module-networks-1212.2517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-module-networks-1212.2517"/></url>
<url><loc>https://scifaro.com/en/abs/convex-relaxations-for-learning-bounded-treewidth-decomposable-graphs-1212.2573</loc><lastmod>2012-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-relaxations-for-learning-bounded-treewidth-decomposable-graphs-1212.2573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-relaxations-for-learning-bounded-treewidth-decomposable-graphs-1212.2573"/></url>
<url><loc>https://scifaro.com/en/abs/dictionary-subselection-using-an-overcomplete-joint-sparsity-model-1212.2834</loc><lastmod>2013-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dictionary-subselection-using-an-overcomplete-joint-sparsity-model-1212.2834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dictionary-subselection-using-an-overcomplete-joint-sparsity-model-1212.2834"/></url>
<url><loc>https://scifaro.com/en/abs/cost-sensitive-feature-selection-of-data-with-errors-1212.3185</loc><lastmod>2013-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-sensitive-feature-selection-of-data-with-errors-1212.3185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-sensitive-feature-selection-of-data-with-errors-1212.3185"/></url>
<url><loc>https://scifaro.com/en/abs/know-your-personalization-learning-topic-level-personalization-in-online-services-1212.3390</loc><lastmod>2012-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/know-your-personalization-learning-topic-level-personalization-in-online-services-1212.3390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/know-your-personalization-learning-topic-level-personalization-in-online-services-1212.3390"/></url>
<url><loc>https://scifaro.com/en/abs/learning-efficient-sparse-and-low-rank-models-1212.3631</loc><lastmod>2012-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-efficient-sparse-and-low-rank-models-1212.3631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-efficient-sparse-and-low-rank-models-1212.3631"/></url>
<url><loc>https://scifaro.com/en/abs/biologically-inspired-spiking-neurons-piecewise-linear-models-and-digital-implementation-1212.3765</loc><lastmod>2012-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biologically-inspired-spiking-neurons-piecewise-linear-models-and-digital-implementation-1212.3765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biologically-inspired-spiking-neurons-piecewise-linear-models-and-digital-implementation-1212.3765"/></url>
<url><loc>https://scifaro.com/en/abs/learning-markov-decision-processes-for-model-checking-1212.3873</loc><lastmod>2012-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-markov-decision-processes-for-model-checking-1212.3873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-markov-decision-processes-for-model-checking-1212.3873"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-group-nonnegative-matrix-factorization-for-eeg-analysis-1212.4347</loc><lastmod>2012-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-group-nonnegative-matrix-factorization-for-eeg-analysis-1212.4347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-group-nonnegative-matrix-factorization-for-eeg-analysis-1212.4347"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-large-scale-traffic-dynamics-using-non-negative-tensor-factorization-1212.4675</loc><lastmod>2012-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-large-scale-traffic-dynamics-using-non-negative-tensor-factorization-1212.4675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-large-scale-traffic-dynamics-using-non-negative-tensor-factorization-1212.4675"/></url>
<url><loc>https://scifaro.com/en/abs/a-practical-algorithm-for-topic-modeling-with-provable-guarantees-1212.4777</loc><lastmod>2012-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-practical-algorithm-for-topic-modeling-with-provable-guarantees-1212.4777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-practical-algorithm-for-topic-modeling-with-provable-guarantees-1212.4777"/></url>
<url><loc>https://scifaro.com/en/abs/maximally-informative-observables-and-categorical-perception-1212.5091</loc><lastmod>2012-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximally-informative-observables-and-categorical-perception-1212.5091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximally-informative-observables-and-categorical-perception-1212.5091"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-fuzzy-art-based-k-means-clustering-methodology-to-cellular-manufacturing-using-operational-time-1212.5101</loc><lastmod>2012-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-fuzzy-art-based-k-means-clustering-methodology-to-cellular-manufacturing-using-operational-time-1212.5101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-fuzzy-art-based-k-means-clustering-methodology-to-cellular-manufacturing-using-operational-time-1212.5101"/></url>
<url><loc>https://scifaro.com/en/abs/fuzzy-soft-rough-k-means-clustering-approach-for-gene-expression-data-1212.5359</loc><lastmod>2012-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fuzzy-soft-rough-k-means-clustering-approach-for-gene-expression-data-1212.5359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fuzzy-soft-rough-k-means-clustering-approach-for-gene-expression-data-1212.5359"/></url>
<url><loc>https://scifaro.com/en/abs/soft-set-based-feature-selection-approach-for-lung-cancer-images-1212.5391</loc><lastmod>2012-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-set-based-feature-selection-approach-for-lung-cancer-images-1212.5391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-set-based-feature-selection-approach-for-lung-cancer-images-1212.5391"/></url>
<url><loc>https://scifaro.com/en/abs/random-spanning-trees-and-the-prediction-of-weighted-graphs-1212.5637</loc><lastmod>2012-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-spanning-trees-and-the-prediction-of-weighted-graphs-1212.5637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-spanning-trees-and-the-prediction-of-weighted-graphs-1212.5637"/></url>
<url><loc>https://scifaro.com/en/abs/adadelta-an-adaptive-learning-rate-method-1212.5701</loc><lastmod>2012-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adadelta-an-adaptive-learning-rate-method-1212.5701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adadelta-an-adaptive-learning-rate-method-1212.5701"/></url>
<url><loc>https://scifaro.com/en/abs/data-complexity-measured-by-principal-graphs-1212.5841</loc><lastmod>2013-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-complexity-measured-by-principal-graphs-1212.5841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-complexity-measured-by-principal-graphs-1212.5841"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-optimization-of-deeply-nested-systems-1212.5921</loc><lastmod>2012-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-optimization-of-deeply-nested-systems-1212.5921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-optimization-of-deeply-nested-systems-1212.5921"/></url>
<url><loc>https://scifaro.com/en/abs/tangent-bundle-manifold-learning-via-grassmann-stiefel-eigenmaps-1212.6031</loc><lastmod>2012-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tangent-bundle-manifold-learning-via-grassmann-stiefel-eigenmaps-1212.6031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tangent-bundle-manifold-learning-via-grassmann-stiefel-eigenmaps-1212.6031"/></url>
<url><loc>https://scifaro.com/en/abs/hyperplane-arrangements-and-locality-sensitive-hashing-with-lift-1212.6110</loc><lastmod>2012-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperplane-arrangements-and-locality-sensitive-hashing-with-lift-1212.6110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperplane-arrangements-and-locality-sensitive-hashing-with-lift-1212.6110"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-using-logistic-regression-in-credit-scoring-1212.6167</loc><lastmod>2012-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-using-logistic-regression-in-credit-scoring-1212.6167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-using-logistic-regression-in-credit-scoring-1212.6167"/></url>
<url><loc>https://scifaro.com/en/abs/fast-solutions-to-projective-monotone-linear-complementarity-problems-1212.6958</loc><lastmod>2013-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-solutions-to-projective-monotone-linear-complementarity-problems-1212.6958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-solutions-to-projective-monotone-linear-complementarity-problems-1212.6958"/></url>
<url><loc>https://scifaro.com/en/abs/bethe-bounds-and-approximating-the-global-optimum-1301.0015</loc><lastmod>2013-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bethe-bounds-and-approximating-the-global-optimum-1301.0015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bethe-bounds-and-approximating-the-global-optimum-1301.0015"/></url>
<url><loc>https://scifaro.com/en/abs/cloudsvm-training-an-svm-classifier-in-cloud-computing-systems-1301.0082</loc><lastmod>2013-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cloudsvm-training-an-svm-classifier-in-cloud-computing-systems-1301.0082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cloudsvm-training-an-svm-classifier-in-cloud-computing-systems-1301.0082"/></url>
<url><loc>https://scifaro.com/en/abs/policy-evaluation-with-variance-related-risk-criteria-in-markov-decision-processes-1301.0104</loc><lastmod>2013-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-evaluation-with-variance-related-risk-criteria-in-markov-decision-processes-1301.0104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-evaluation-with-variance-related-risk-criteria-in-markov-decision-processes-1301.0104"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-design-specification-distance-dsd-based-k-mean-clustering-performace-evluation-on-engineering-materials-database-1301.0179</loc><lastmod>2013-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-design-specification-distance-dsd-based-k-mean-clustering-performace-evluation-on-engineering-materials-database-1301.0179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-design-specification-distance-dsd-based-k-mean-clustering-performace-evluation-on-engineering-materials-database-1301.0179"/></url>
<url><loc>https://scifaro.com/en/abs/follow-the-leader-if-you-can-hedge-if-you-must-1301.0534</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/follow-the-leader-if-you-can-hedge-if-you-must-1301.0534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/follow-the-leader-if-you-can-hedge-if-you-must-1301.0534"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hierarchical-object-maps-of-non-stationary-environments-with-mobile-robots-1301.0551</loc><lastmod>2013-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hierarchical-object-maps-of-non-stationary-environments-with-mobile-robots-1301.0551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hierarchical-object-maps-of-non-stationary-environments-with-mobile-robots-1301.0551"/></url>
<url><loc>https://scifaro.com/en/abs/tree-dependent-component-analysis-1301.0554</loc><lastmod>2013-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-dependent-component-analysis-1301.0554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-dependent-component-analysis-1301.0554"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-scope-with-application-to-information-extraction-and-classification-1301.0556</loc><lastmod>2013-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-scope-with-application-to-information-extraction-and-classification-1301.0556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-scope-with-application-to-information-extraction-and-classification-1301.0556"/></url>
<url><loc>https://scifaro.com/en/abs/continuation-methods-for-mixing-heterogenous-sources-1301.0562</loc><lastmod>2013-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuation-methods-for-mixing-heterogenous-sources-1301.0562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuation-methods-for-mixing-heterogenous-sources-1301.0562"/></url>
<url><loc>https://scifaro.com/en/abs/interpolating-conditional-density-trees-1301.0563</loc><lastmod>2013-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpolating-conditional-density-trees-1301.0563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpolating-conditional-density-trees-1301.0563"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-theoretic-external-cluster-validity-measure-1301.0565</loc><lastmod>2013-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-theoretic-external-cluster-validity-measure-1301.0565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-theoretic-external-cluster-validity-measure-1301.0565"/></url>
<url><loc>https://scifaro.com/en/abs/the-thing-that-we-tried-didn-t-work-very-well-deictic-representation-in-reinforcement-learning-1301.0567</loc><lastmod>2013-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-thing-that-we-tried-didn-t-work-very-well-deictic-representation-in-reinforcement-learning-1301.0567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-thing-that-we-tried-didn-t-work-very-well-deictic-representation-in-reinforcement-learning-1301.0567"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-correction-for-hierarchical-latent-class-models-1301.0578</loc><lastmod>2013-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-correction-for-hierarchical-latent-class-models-1301.0578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-correction-for-hierarchical-latent-class-models-1301.0578"/></url>
<url><loc>https://scifaro.com/en/abs/almost-everywhere-algorithmic-stability-and-generalization-error-1301.0579</loc><lastmod>2013-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/almost-everywhere-algorithmic-stability-and-generalization-error-1301.0579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/almost-everywhere-algorithmic-stability-and-generalization-error-1301.0579"/></url>
<url><loc>https://scifaro.com/en/abs/staged-mixture-modelling-and-boosting-1301.0586</loc><lastmod>2013-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/staged-mixture-modelling-and-boosting-1301.0586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/staged-mixture-modelling-and-boosting-1301.0586"/></url>
<url><loc>https://scifaro.com/en/abs/expectation-propogation-for-the-generative-aspect-model-1301.0588</loc><lastmod>2013-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expectation-propogation-for-the-generative-aspect-model-1301.0588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expectation-propogation-for-the-generative-aspect-model-1301.0588"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-network-classifiers-in-a-high-dimensional-framework-1301.0593</loc><lastmod>2013-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-network-classifiers-in-a-high-dimensional-framework-1301.0593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-network-classifiers-in-a-high-dimensional-framework-1301.0593"/></url>
<url><loc>https://scifaro.com/en/abs/advances-in-boosting-invited-talk-1301.0599</loc><lastmod>2013-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advances-in-boosting-invited-talk-1301.0599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advances-in-boosting-invited-talk-1301.0599"/></url>
<url><loc>https://scifaro.com/en/abs/an-mdp-based-recommender-system-1301.0600</loc><lastmod>2015-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-mdp-based-recommender-system-1301.0600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-mdp-based-recommender-system-1301.0600"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-partially-known-world-dynamics-1301.0601</loc><lastmod>2013-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-partially-known-world-dynamics-1301.0601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-partially-known-world-dynamics-1301.0601"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-active-learning-in-large-domains-1301.0602</loc><lastmod>2013-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-active-learning-in-large-domains-1301.0602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-active-learning-in-large-domains-1301.0602"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-probabilistic-models-for-relational-data-1301.0604</loc><lastmod>2013-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-probabilistic-models-for-relational-data-1301.0604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-probabilistic-models-for-relational-data-1301.0604"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-class-of-upper-bounds-on-the-log-partition-function-1301.0610</loc><lastmod>2013-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-class-of-upper-bounds-on-the-log-partition-function-1301.0610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-class-of-upper-bounds-on-the-log-partition-function-1301.0610"/></url>
<url><loc>https://scifaro.com/en/abs/ipf-for-discrete-chain-factor-graphs-1301.0613</loc><lastmod>2013-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ipf-for-discrete-chain-factor-graphs-1301.0613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ipf-for-discrete-chain-factor-graphs-1301.0613"/></url>
<url><loc>https://scifaro.com/en/abs/the-sum-over-forests-density-index-identifying-dense-regions-in-a-graph-1301.0725</loc><lastmod>2013-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-sum-over-forests-density-index-identifying-dense-regions-in-a-graph-1301.0725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-sum-over-forests-density-index-identifying-dense-regions-in-a-graph-1301.0725"/></url>
<url><loc>https://scifaro.com/en/abs/finding-the-true-frequent-itemsets-1301.1218</loc><lastmod>2014-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-the-true-frequent-itemsets-1301.1218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-the-true-frequent-itemsets-1301.1218"/></url>
<url><loc>https://scifaro.com/en/abs/linear-bandits-in-high-dimension-and-recommendation-systems-1301.1722</loc><lastmod>2013-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-bandits-in-high-dimension-and-recommendation-systems-1301.1722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-bandits-in-high-dimension-and-recommendation-systems-1301.1722"/></url>
<url><loc>https://scifaro.com/en/abs/risk-aversion-in-multi-armed-bandits-1301.1936</loc><lastmod>2013-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-aversion-in-multi-armed-bandits-1301.1936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-aversion-in-multi-armed-bandits-1301.1936"/></url>
<url><loc>https://scifaro.com/en/abs/error-correction-in-learning-using-svms-1301.2012</loc><lastmod>2013-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-correction-in-learning-using-svms-1301.2012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-correction-in-learning-using-svms-1301.2012"/></url>
<url><loc>https://scifaro.com/en/abs/variational-mcmc-1301.2266</loc><lastmod>2013-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-mcmc-1301.2266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-mcmc-1301.2266"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-dimensionality-of-hidden-variables-1301.2269</loc><lastmod>2013-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-dimensionality-of-hidden-variables-1301.2269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-dimensionality-of-hidden-variables-1301.2269"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-information-bottleneck-1301.2270</loc><lastmod>2013-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-information-bottleneck-1301.2270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-information-bottleneck-1301.2270"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-multiple-constraints-that-are-frequently-approximately-satisfied-1301.2278</loc><lastmod>2013-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-multiple-constraints-that-are-frequently-approximately-satisfied-1301.2278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-multiple-constraints-that-are-frequently-approximately-satisfied-1301.2278"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-well-performing-bayesian-networks-using-bernoulli-mixtures-1301.2280</loc><lastmod>2013-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-well-performing-bayesian-networks-using-bernoulli-mixtures-1301.2280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-well-performing-bayesian-networks-using-bernoulli-mixtures-1301.2280"/></url>
<url><loc>https://scifaro.com/en/abs/improved-learning-of-bayesian-networks-1301.2283</loc><lastmod>2013-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-learning-of-bayesian-networks-1301.2283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-learning-of-bayesian-networks-1301.2283"/></url>
<url><loc>https://scifaro.com/en/abs/classifier-learning-with-supervised-marginal-likelihood-1301.2284</loc><lastmod>2013-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifier-learning-with-supervised-marginal-likelihood-1301.2284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifier-learning-with-supervised-marginal-likelihood-1301.2284"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-markov-chain-monte-carlo-computation-of-reference-priors-and-minimax-risk-1301.2286</loc><lastmod>2013-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-markov-chain-monte-carlo-computation-of-reference-priors-and-minimax-risk-1301.2286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-markov-chain-monte-carlo-computation-of-reference-priors-and-minimax-risk-1301.2286"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-likelihood-bounded-tree-width-markov-networks-1301.2311</loc><lastmod>2013-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-likelihood-bounded-tree-width-markov-networks-1301.2311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-likelihood-bounded-tree-width-markov-networks-1301.2311"/></url>
<url><loc>https://scifaro.com/en/abs/the-optimal-reward-baseline-for-gradient-based-reinforcement-learning-1301.2315</loc><lastmod>2013-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-optimal-reward-baseline-for-gradient-based-reinforcement-learning-1301.2315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-optimal-reward-baseline-for-gradient-based-reinforcement-learning-1301.2315"/></url>
<url><loc>https://scifaro.com/en/abs/cross-covariance-modelling-via-dags-with-hidden-variables-1301.2316</loc><lastmod>2013-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-covariance-modelling-via-dags-with-hidden-variables-1301.2316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-covariance-modelling-via-dags-with-hidden-variables-1301.2316"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-modeling-in-continuous-speech-recognition-csr-invited-talk-1301.2318</loc><lastmod>2013-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-modeling-in-continuous-speech-recognition-csr-invited-talk-1301.2318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-modeling-in-continuous-speech-recognition-csr-invited-talk-1301.2318"/></url>
<url><loc>https://scifaro.com/en/abs/robust-subspace-clustering-1301.2603</loc><lastmod>2014-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-subspace-clustering-1301.2603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-subspace-clustering-1301.2603"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-optimize-via-posterior-sampling-1301.2609</loc><lastmod>2014-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-optimize-via-posterior-sampling-1301.2609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-optimize-via-posterior-sampling-1301.2609"/></url>
<url><loc>https://scifaro.com/en/abs/functional-regularized-least-squares-classi-cation-with-operator-valued-kernels-1301.2655</loc><lastmod>2013-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-regularized-least-squares-classi-cation-with-operator-valued-kernels-1301.2655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-regularized-least-squares-classi-cation-with-operator-valued-kernels-1301.2655"/></url>
<url><loc>https://scifaro.com/en/abs/a-triclustering-approach-for-time-evolving-graphs-1301.2659</loc><lastmod>2013-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-triclustering-approach-for-time-evolving-graphs-1301.2659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-triclustering-approach-for-time-evolving-graphs-1301.2659"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-approximation-under-local-low-rank-assumption-1301.3192</loc><lastmod>2013-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-approximation-under-local-low-rank-assumption-1301.3192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-approximation-under-local-low-rank-assumption-1301.3192"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graphical-model-parameters-with-approximate-marginal-inference-1301.3193</loc><lastmod>2014-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graphical-model-parameters-with-approximate-marginal-inference-1301.3193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graphical-model-parameters-with-approximate-marginal-inference-1301.3193"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-of-domain-invariant-image-representations-1301.3224</loc><lastmod>2017-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-of-domain-invariant-image-representations-1301.3224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-of-domain-invariant-image-representations-1301.3224"/></url>
<url><loc>https://scifaro.com/en/abs/the-expressive-power-of-word-embeddings-1301.3226</loc><lastmod>2013-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-expressive-power-of-word-embeddings-1301.3226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-expressive-power-of-word-embeddings-1301.3226"/></url>
<url><loc>https://scifaro.com/en/abs/barnes-hut-sne-1301.3342</loc><lastmod>2013-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/barnes-hut-sne-1301.3342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/barnes-hut-sne-1301.3342"/></url>
<url><loc>https://scifaro.com/en/abs/feature-grouping-from-spatially-constrained-multiplicative-interaction-1301.3391</loc><lastmod>2013-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-grouping-from-spatially-constrained-multiplicative-interaction-1301.3391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-grouping-from-spatially-constrained-multiplicative-interaction-1301.3391"/></url>
<url><loc>https://scifaro.com/en/abs/factorized-topic-models-1301.3461</loc><lastmod>2013-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factorized-topic-models-1301.3461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factorized-topic-models-1301.3461"/></url>
<url><loc>https://scifaro.com/en/abs/pushing-stochastic-gradient-towards-second-order-methods-backpropagation-learning-with-transformations-in-nonlinearities-1301.3476</loc><lastmod>2013-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pushing-stochastic-gradient-towards-second-order-methods-backpropagation-learning-with-transformations-in-nonlinearities-1301.3476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pushing-stochastic-gradient-towards-second-order-methods-backpropagation-learning-with-transformations-in-nonlinearities-1301.3476"/></url>
<url><loc>https://scifaro.com/en/abs/a-semantic-matching-energy-function-for-learning-with-multi-relational-data-1301.3485</loc><lastmod>2013-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-semantic-matching-energy-function-for-learning-with-multi-relational-data-1301.3485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-semantic-matching-energy-function-for-learning-with-multi-relational-data-1301.3485"/></url>
<url><loc>https://scifaro.com/en/abs/how-good-is-the-electricity-benchmark-for-evaluating-concept-drift-adaptation-1301.3524</loc><lastmod>2013-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-good-is-the-electricity-benchmark-for-evaluating-concept-drift-adaptation-1301.3524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-good-is-the-electricity-benchmark-for-evaluating-concept-drift-adaptation-1301.3524"/></url>
<url><loc>https://scifaro.com/en/abs/block-coordinate-descent-for-sparse-nmf-1301.3527</loc><lastmod>2013-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-coordinate-descent-for-sparse-nmf-1301.3527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-coordinate-descent-for-sparse-nmf-1301.3527"/></url>
<url><loc>https://scifaro.com/en/abs/learning-features-with-structure-adapting-multi-view-exponential-family-harmoniums-1301.3539</loc><lastmod>2013-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-features-with-structure-adapting-multi-view-exponential-family-harmoniums-1301.3539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-features-with-structure-adapting-multi-view-exponential-family-harmoniums-1301.3539"/></url>
<url><loc>https://scifaro.com/en/abs/deep-predictive-coding-networks-1301.3541</loc><lastmod>2013-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-predictive-coding-networks-1301.3541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-predictive-coding-networks-1301.3541"/></url>
<url><loc>https://scifaro.com/en/abs/metric-free-natural-gradient-for-joint-training-of-boltzmann-machines-1301.3545</loc><lastmod>2013-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-free-natural-gradient-for-joint-training-of-boltzmann-machines-1301.3545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-free-natural-gradient-for-joint-training-of-boltzmann-machines-1301.3545"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-learning-with-infinitely-divisible-kernels-1301.3551</loc><lastmod>2013-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-learning-with-infinitely-divisible-kernels-1301.3551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-learning-with-infinitely-divisible-kernels-1301.3551"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-pooling-for-regularization-of-deep-convolutional-neural-networks-1301.3557</loc><lastmod>2013-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-pooling-for-regularization-of-deep-convolutional-neural-networks-1301.3557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-pooling-for-regularization-of-deep-convolutional-neural-networks-1301.3557"/></url>
<url><loc>https://scifaro.com/en/abs/kernelized-locality-sensitive-hashing-for-semi-supervised-agglomerative-clustering-1301.3575</loc><lastmod>2013-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernelized-locality-sensitive-hashing-for-semi-supervised-agglomerative-clustering-1301.3575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernelized-locality-sensitive-hashing-for-semi-supervised-agglomerative-clustering-1301.3575"/></url>
<url><loc>https://scifaro.com/en/abs/saturating-auto-encoders-1301.3577</loc><lastmod>2013-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/saturating-auto-encoders-1301.3577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/saturating-auto-encoders-1301.3577"/></url>
<url><loc>https://scifaro.com/en/abs/big-neural-networks-waste-capacity-1301.3583</loc><lastmod>2013-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/big-neural-networks-waste-capacity-1301.3583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/big-neural-networks-waste-capacity-1301.3583"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-natural-gradient-for-deep-networks-1301.3584</loc><lastmod>2014-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-natural-gradient-for-deep-networks-1301.3584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-natural-gradient-for-deep-networks-1301.3584"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-detecting-robotic-grasps-1301.3592</loc><lastmod>2014-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-detecting-robotic-grasps-1301.3592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-detecting-robotic-grasps-1301.3592"/></url>
<url><loc>https://scifaro.com/en/abs/feature-learning-in-deep-neural-networks-studies-on-speech-recognition-tasks-1301.3605</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-learning-in-deep-neural-networks-studies-on-speech-recognition-tasks-1301.3605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-learning-in-deep-neural-networks-studies-on-speech-recognition-tasks-1301.3605"/></url>
<url><loc>https://scifaro.com/en/abs/behavior-pattern-recognition-using-a-new-representation-model-1301.3630</loc><lastmod>2013-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/behavior-pattern-recognition-using-a-new-representation-model-1301.3630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/behavior-pattern-recognition-using-a-new-representation-model-1301.3630"/></url>
<url><loc>https://scifaro.com/en/abs/training-neural-networks-with-stochastic-hessian-free-optimization-1301.3641</loc><lastmod>2013-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-neural-networks-with-stochastic-hessian-free-optimization-1301.3641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-neural-networks-with-stochastic-hessian-free-optimization-1301.3641"/></url>
<url><loc>https://scifaro.com/en/abs/switched-linear-encoding-with-rectified-linear-autoencoders-1301.3753</loc><lastmod>2013-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/switched-linear-encoding-with-rectified-linear-autoencoders-1301.3753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/switched-linear-encoding-with-rectified-linear-autoencoders-1301.3753"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-learning-rates-and-parallelization-for-stochastic-sparse-non-smooth-gradients-1301.3764</loc><lastmod>2013-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-learning-rates-and-parallelization-for-stochastic-sparse-non-smooth-gradients-1301.3764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-learning-rates-and-parallelization-for-stochastic-sparse-non-smooth-gradients-1301.3764"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-recurrent-sparse-auto-encoders-1301.3775</loc><lastmod>2013-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-recurrent-sparse-auto-encoders-1301.3775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-recurrent-sparse-auto-encoders-1301.3775"/></url>
<url><loc>https://scifaro.com/en/abs/learning-output-kernels-for-multi-task-problems-1301.3816</loc><lastmod>2013-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-output-kernels-for-multi-task-problems-1301.3816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-output-kernels-for-multi-task-problems-1301.3816"/></url>
<url><loc>https://scifaro.com/en/abs/reversible-jump-mcmc-simulated-annealing-for-neural-networks-1301.3833</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reversible-jump-mcmc-simulated-annealing-for-neural-networks-1301.3833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reversible-jump-mcmc-simulated-annealing-for-neural-networks-1301.3833"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-bayesian-multinets-1301.3837</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-bayesian-multinets-1301.3837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-bayesian-multinets-1301.3837"/></url>
<url><loc>https://scifaro.com/en/abs/variational-relevance-vector-machines-1301.3838</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-relevance-vector-machines-1301.3838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-relevance-vector-machines-1301.3838"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-classification-and-feature-selection-from-finite-data-sets-1301.3843</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-classification-and-feature-selection-from-finite-data-sets-1301.3843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-classification-and-feature-selection-from-finite-data-sets-1301.3843"/></url>
<url><loc>https://scifaro.com/en/abs/experiments-with-random-projection-1301.3849</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/experiments-with-random-projection-1301.3849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/experiments-with-random-projection-1301.3849"/></url>
<url><loc>https://scifaro.com/en/abs/a-two-round-variant-of-em-for-gaussian-mixtures-1301.3850</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-two-round-variant-of-em-for-gaussian-mixtures-1301.3850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-two-round-variant-of-em-for-gaussian-mixtures-1301.3850"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-message-length-clustering-using-gibbs-sampling-1301.3851</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-message-length-clustering-using-gibbs-sampling-1301.3851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-message-length-clustering-using-gibbs-sampling-1301.3851"/></url>
<url><loc>https://scifaro.com/en/abs/mix-nets-factored-mixtures-of-gaussians-in-bayesian-networks-with-mixed-continuous-and-discrete-variables-1301.3852</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mix-nets-factored-mixtures-of-gaussians-in-bayesian-networks-with-mixed-continuous-and-discrete-variables-1301.3852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mix-nets-factored-mixtures-of-gaussians-in-bayesian-networks-with-mixed-continuous-and-discrete-variables-1301.3852"/></url>
<url><loc>https://scifaro.com/en/abs/rao-blackwellised-particle-filtering-for-dynamic-bayesian-networks-1301.3853</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rao-blackwellised-particle-filtering-for-dynamic-bayesian-networks-1301.3853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rao-blackwellised-particle-filtering-for-dynamic-bayesian-networks-1301.3853"/></url>
<url><loc>https://scifaro.com/en/abs/being-bayesian-about-network-structure-1301.3856</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/being-bayesian-about-network-structure-1301.3856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/being-bayesian-about-network-structure-1301.3856"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-and-dualities-in-maximum-entropy-discrimination-1301.3865</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-and-dualities-in-maximum-entropy-discrimination-1301.3865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-and-dualities-in-maximum-entropy-discrimination-1301.3865"/></url>
<url><loc>https://scifaro.com/en/abs/tractable-bayesian-learning-of-tree-belief-networks-1301.3875</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tractable-bayesian-learning-of-tree-belief-networks-1301.3875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tractable-bayesian-learning-of-tree-belief-networks-1301.3875"/></url>
<url><loc>https://scifaro.com/en/abs/the-anchors-hierachy-using-the-triangle-inequality-to-survive-high-dimensional-data-1301.3877</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-anchors-hierachy-using-the-triangle-inequality-to-survive-high-dimensional-data-1301.3877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-anchors-hierachy-using-the-triangle-inequality-to-survive-high-dimensional-data-1301.3877"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-inference-via-greedy-importance-sampling-1301.3890</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-inference-via-greedy-importance-sampling-1301.3890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-inference-via-greedy-importance-sampling-1301.3890"/></url>
<url><loc>https://scifaro.com/en/abs/combining-feature-and-prototype-pruning-by-uncertainty-minimization-1301.3891</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-feature-and-prototype-pruning-by-uncertainty-minimization-1301.3891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-feature-and-prototype-pruning-by-uncertainty-minimization-1301.3891"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-trees-a-structured-variational-method-giving-efficient-propagation-rules-1301.3895</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-trees-a-structured-variational-method-giving-efficient-propagation-rules-1301.3895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-trees-a-structured-variational-method-giving-efficient-propagation-rules-1301.3895"/></url>
<url><loc>https://scifaro.com/en/abs/an-uncertainty-framework-for-classification-1301.3896</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-uncertainty-framework-for-classification-1301.3896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-uncertainty-framework-for-classification-1301.3896"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-hierarchical-clustering-1301.3899</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-hierarchical-clustering-1301.3899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-hierarchical-clustering-1301.3899"/></url>
<url><loc>https://scifaro.com/en/abs/variational-approximations-between-mean-field-theory-and-the-junction-tree-algorithm-1301.3901</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-approximations-between-mean-field-theory-and-the-junction-tree-algorithm-1301.3901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-approximations-between-mean-field-theory-and-the-junction-tree-algorithm-1301.3901"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-sample-reuse-in-policy-gradients-with-parameter-based-exploration-1301.3966</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-sample-reuse-in-policy-gradients-with-parameter-based-exploration-1301.3966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-sample-reuse-in-policy-gradients-with-parameter-based-exploration-1301.3966"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-matters-importance-of-prior-information-for-optimization-1301.4083</loc><lastmod>2013-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-matters-importance-of-prior-information-for-optimization-1301.4083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-matters-importance-of-prior-information-for-optimization-1301.4083"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-product-rule-for-classification-problems-1301.4157</loc><lastmod>2013-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-product-rule-for-classification-problems-1301.4157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-product-rule-for-classification-problems-1301.4157"/></url>
<url><loc>https://scifaro.com/en/abs/herded-gibbs-sampling-1301.4168</loc><lastmod>2013-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/herded-gibbs-sampling-1301.4168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/herded-gibbs-sampling-1301.4168"/></url>
<url><loc>https://scifaro.com/en/abs/latent-relation-representations-for-universal-schemas-1301.4293</loc><lastmod>2013-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-relation-representations-for-universal-schemas-1301.4293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-relation-representations-for-universal-schemas-1301.4293"/></url>
<url><loc>https://scifaro.com/en/abs/a-linearly-convergent-conditional-gradient-algorithm-with-applications-to-online-and-stochastic-optimization-1301.4666</loc><lastmod>2015-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-linearly-convergent-conditional-gradient-algorithm-with-applications-to-online-and-stochastic-optimization-1301.4666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-linearly-convergent-conditional-gradient-algorithm-with-applications-to-online-and-stochastic-optimization-1301.4666"/></url>
<url><loc>https://scifaro.com/en/abs/a-linear-time-active-learning-algorithm-for-link-classification-full-version-1301.4767</loc><lastmod>2013-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-linear-time-active-learning-algorithm-for-link-classification-full-version-1301.4767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-linear-time-active-learning-algorithm-for-link-classification-full-version-1301.4767"/></url>
<url><loc>https://scifaro.com/en/abs/a-correlation-clustering-approach-to-link-classification-in-signed-networks-full-version-1301.4769</loc><lastmod>2013-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-correlation-clustering-approach-to-link-classification-in-signed-networks-full-version-1301.4769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-correlation-clustering-approach-to-link-classification-in-signed-networks-full-version-1301.4769"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-of-inverse-models-with-intrinsically-motivated-goal-exploration-in-robots-1301.4862</loc><lastmod>2013-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-of-inverse-models-with-intrinsically-motivated-goal-exploration-in-robots-1301.4862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-of-inverse-models-with-intrinsically-motivated-goal-exploration-in-robots-1301.4862"/></url>
<url><loc>https://scifaro.com/en/abs/dirichlet-draws-are-sparse-with-high-probability-1301.4917</loc><lastmod>2013-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dirichlet-draws-are-sparse-with-high-probability-1301.4917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dirichlet-draws-are-sparse-with-high-probability-1301.4917"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-on-trees-and-graphs-1301.5112</loc><lastmod>2013-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-on-trees-and-graphs-1301.5112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-on-trees-and-graphs-1301.5112"/></url>
<url><loc>https://scifaro.com/en/abs/see-the-tree-through-the-lines-the-shazoo-algorithm-full-version-1301.5160</loc><lastmod>2013-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/see-the-tree-through-the-lines-the-shazoo-algorithm-full-version-1301.5160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/see-the-tree-through-the-lines-the-shazoo-algorithm-full-version-1301.5160"/></url>
<url><loc>https://scifaro.com/en/abs/why-size-matters-feature-coding-as-nystrom-sampling-1301.5348</loc><lastmod>2013-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-size-matters-feature-coding-as-nystrom-sampling-1301.5348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-size-matters-feature-coding-as-nystrom-sampling-1301.5348"/></url>
<url><loc>https://scifaro.com/en/abs/multi-class-generalized-binary-search-for-active-inverse-reinforcement-learning-1301.5488</loc><lastmod>2013-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-class-generalized-binary-search-for-active-inverse-reinforcement-learning-1301.5488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-class-generalized-binary-search-for-active-inverse-reinforcement-learning-1301.5488"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-last-step-min-max-algorithm-with-improved-sub-logarithmic-regret-1301.6058</loc><lastmod>2013-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-last-step-min-max-algorithm-with-improved-sub-logarithmic-regret-1301.6058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-last-step-min-max-algorithm-with-improved-sub-logarithmic-regret-1301.6058"/></url>
<url><loc>https://scifaro.com/en/abs/sample-complexity-of-bayesian-optimal-dictionary-learning-1301.6199</loc><lastmod>2014-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-complexity-of-bayesian-optimal-dictionary-learning-1301.6199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-complexity-of-bayesian-optimal-dictionary-learning-1301.6199"/></url>
<url><loc>https://scifaro.com/en/abs/equitability-analysis-of-the-maximal-information-coefficient-with-comparisons-1301.6314</loc><lastmod>2013-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equitability-analysis-of-the-maximal-information-coefficient-with-comparisons-1301.6314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equitability-analysis-of-the-maximal-information-coefficient-with-comparisons-1301.6314"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-data-representation-model-multi-layer-nmf-1301.6316</loc><lastmod>2013-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-data-representation-model-multi-layer-nmf-1301.6316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-data-representation-model-multi-layer-nmf-1301.6316"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-feature-selection-for-uncertain-graph-classification-1301.6626</loc><lastmod>2013-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-feature-selection-for-uncertain-graph-classification-1301.6626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-feature-selection-for-uncertain-graph-classification-1301.6626"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-based-matrix-factorization-1301.6659</loc><lastmod>2013-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-based-matrix-factorization-1301.6659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-based-matrix-factorization-1301.6659"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-parameters-and-structure-of-latent-variable-models-by-variational-bayes-1301.6676</loc><lastmod>2013-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-parameters-and-structure-of-latent-variable-models-by-variational-bayes-1301.6676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-parameters-and-structure-of-latent-variable-models-by-variational-bayes-1301.6676"/></url>
<url><loc>https://scifaro.com/en/abs/relative-loss-bounds-for-on-line-density-estimation-with-the-exponential-family-of-distributions-1301.6677</loc><lastmod>2013-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-loss-bounds-for-on-line-density-estimation-with-the-exponential-family-of-distributions-1301.6677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-loss-bounds-for-on-line-density-estimation-with-the-exponential-family-of-distributions-1301.6677"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-bayesian-network-classifiers-1301.6684</loc><lastmod>2013-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-bayesian-network-classifiers-1301.6684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-bayesian-network-classifiers-1301.6684"/></url>
<url><loc>https://scifaro.com/en/abs/fast-learning-from-sparse-data-1301.6685</loc><lastmod>2015-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-learning-from-sparse-data-1301.6685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-learning-from-sparse-data-1301.6685"/></url>
<url><loc>https://scifaro.com/en/abs/data-analysis-with-bayesian-networks-a-bootstrap-approach-1301.6695</loc><lastmod>2013-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-analysis-with-bayesian-networks-a-bootstrap-approach-1301.6695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-analysis-with-bayesian-networks-a-bootstrap-approach-1301.6695"/></url>
<url><loc>https://scifaro.com/en/abs/learning-bayesian-network-structure-from-massive-datasets-the-sparse-candidate-algorithm-1301.6696</loc><lastmod>2013-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-bayesian-network-structure-from-massive-datasets-the-sparse-candidate-algorithm-1301.6696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-bayesian-network-structure-from-massive-datasets-the-sparse-candidate-algorithm-1301.6696"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-priors-for-directed-acyclic-graphical-models-and-the-characterization-of-several-probability-distributions-1301.6697</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-priors-for-directed-acyclic-graphical-models-and-the-characterization-of-several-probability-distributions-1301.6697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-priors-for-directed-acyclic-graphical-models-and-the-characterization-of-several-probability-distributions-1301.6697"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-latent-semantic-analysis-1301.6705</loc><lastmod>2013-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-latent-semantic-analysis-1301.6705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-latent-semantic-analysis-1301.6705"/></url>
<url><loc>https://scifaro.com/en/abs/on-supervised-selection-of-bayesian-networks-1301.6710</loc><lastmod>2013-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-supervised-selection-of-bayesian-networks-1301.6710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-supervised-selection-of-bayesian-networks-1301.6710"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-network-classifier-that-combines-a-finite-mixture-model-and-a-naive-bayes-model-1301.6723</loc><lastmod>2013-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-network-classifier-that-combines-a-finite-mixture-model-and-a-naive-bayes-model-1301.6723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-network-classifier-that-combines-a-finite-mixture-model-and-a-naive-bayes-model-1301.6723"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-em-an-empirical-study-1301.6730</loc><lastmod>2013-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-em-an-empirical-study-1301.6730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-em-an-empirical-study-1301.6730"/></url>
<url><loc>https://scifaro.com/en/abs/variational-learning-in-mixed-state-dynamic-graphical-models-1301.6731</loc><lastmod>2013-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-learning-in-mixed-state-dynamic-graphical-models-1301.6731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-learning-in-mixed-state-dynamic-graphical-models-1301.6731"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-learning-in-complex-dynamic-bayesian-networks-1301.6738</loc><lastmod>2013-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-learning-in-complex-dynamic-bayesian-networks-1301.6738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-learning-in-complex-dynamic-bayesian-networks-1301.6738"/></url>
<url><loc>https://scifaro.com/en/abs/the-bayesian-structural-em-algorithm-1301.7373</loc><lastmod>2013-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-bayesian-structural-em-algorithm-1301.7373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-bayesian-structural-em-algorithm-1301.7373"/></url>
<url><loc>https://scifaro.com/en/abs/learning-by-transduction-1301.7375</loc><lastmod>2013-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-by-transduction-1301.7375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-by-transduction-1301.7375"/></url>
<url><loc>https://scifaro.com/en/abs/graphical-models-and-exponential-families-1301.7376</loc><lastmod>2013-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphical-models-and-exponential-families-1301.7376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphical-models-and-exponential-families-1301.7376"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-encoding-approaches-for-predictive-modeling-1301.7378</loc><lastmod>2013-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-encoding-approaches-for-predictive-modeling-1301.7378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-encoding-approaches-for-predictive-modeling-1301.7378"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-mixtures-of-experts-for-exponential-family-regression-models-with-generalized-linear-mean-functions-a-survey-of-approximation-and-consistency-results-1301.7390</loc><lastmod>2013-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-mixtures-of-experts-for-exponential-family-regression-models-with-generalized-linear-mean-functions-a-survey-of-approximation-and-consistency-results-1301.7390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-mixtures-of-experts-for-exponential-family-regression-models-with-generalized-linear-mean-functions-a-survey-of-approximation-and-consistency-results-1301.7390"/></url>
<url><loc>https://scifaro.com/en/abs/large-deviation-methods-for-approximate-probabilistic-inference-1301.7392</loc><lastmod>2013-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-deviation-methods-for-approximate-probabilistic-inference-1301.7392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-deviation-methods-for-approximate-probabilistic-inference-1301.7392"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-representations-for-inference-and-learning-in-boltzmann-machines-1301.7393</loc><lastmod>2013-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-representations-for-inference-and-learning-in-boltzmann-machines-1301.7393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-representations-for-inference-and-learning-in-boltzmann-machines-1301.7393"/></url>
<url><loc>https://scifaro.com/en/abs/an-experimental-comparison-of-several-clustering-and-initialization-methods-1301.7401</loc><lastmod>2015-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-experimental-comparison-of-several-clustering-and-initialization-methods-1301.7401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-experimental-comparison-of-several-clustering-and-initialization-methods-1301.7401"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-geometry-of-bayesian-graphical-models-with-hidden-variables-1301.7411</loc><lastmod>2013-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-geometry-of-bayesian-graphical-models-with-hidden-variables-1301.7411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-geometry-of-bayesian-graphical-models-with-hidden-variables-1301.7411"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixtures-of-dag-models-1301.7415</loc><lastmod>2015-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixtures-of-dag-models-1301.7415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixtures-of-dag-models-1301.7415"/></url>
<url><loc>https://scifaro.com/en/abs/axiomatic-construction-of-hierarchical-clustering-in-asymmetric-networks-1301.7724</loc><lastmod>2014-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/axiomatic-construction-of-hierarchical-clustering-in-asymmetric-networks-1301.7724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/axiomatic-construction-of-hierarchical-clustering-in-asymmetric-networks-1301.7724"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-multiple-kernel-learning-with-geometric-convergence-rate-1302.0315</loc><lastmod>2013-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-multiple-kernel-learning-with-geometric-convergence-rate-1302.0315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-multiple-kernel-learning-with-geometric-convergence-rate-1302.0315"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-guarantees-for-a-binary-classification-framework-for-two-stage-multiple-kernel-learning-1302.0406</loc><lastmod>2013-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-guarantees-for-a-binary-classification-framework-for-two-stage-multiple-kernel-learning-1302.0406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-guarantees-for-a-binary-classification-framework-for-two-stage-multiple-kernel-learning-1302.0406"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-d2-clustering-large-scale-clustering-of-discrete-distributions-1302.0435</loc><lastmod>2013-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-d2-clustering-large-scale-clustering-of-discrete-distributions-1302.0435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-d2-clustering-large-scale-clustering-of-discrete-distributions-1302.0435"/></url>
<url><loc>https://scifaro.com/en/abs/a-game-theoretic-framework-for-classifier-ensembles-using-weighted-majority-voting-with-local-accuracy-estimates-1302.0540</loc><lastmod>2013-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-game-theoretic-framework-for-classifier-ensembles-using-weighted-majority-voting-with-local-accuracy-estimates-1302.0540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-game-theoretic-framework-for-classifier-ensembles-using-weighted-majority-voting-with-local-accuracy-estimates-1302.0540"/></url>
<url><loc>https://scifaro.com/en/abs/multi-robot-informative-path-planning-for-active-sensing-of-environmental-phenomena-a-tale-of-two-algorithms-1302.0723</loc><lastmod>2013-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-robot-informative-path-planning-for-active-sensing-of-environmental-phenomena-a-tale-of-two-algorithms-1302.0723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-robot-informative-path-planning-for-active-sensing-of-environmental-phenomena-a-tale-of-two-algorithms-1302.0723"/></url>
<url><loc>https://scifaro.com/en/abs/randomboost-simplified-multi-class-boosting-through-randomization-1302.0963</loc><lastmod>2013-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomboost-simplified-multi-class-boosting-through-randomization-1302.0963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomboost-simplified-multi-class-boosting-through-randomization-1302.0963"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-relaxations-of-multiset-cannonical-correlation-analysis-and-applications-1302.0974</loc><lastmod>2013-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-relaxations-of-multiset-cannonical-correlation-analysis-and-applications-1302.0974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-relaxations-of-multiset-cannonical-correlation-analysis-and-applications-1302.0974"/></url>
<url><loc>https://scifaro.com/en/abs/the-price-of-bandit-information-in-multiclass-online-classification-1302.1043</loc><lastmod>2013-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-price-of-bandit-information-in-multiclass-online-classification-1302.1043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-price-of-bandit-information-in-multiclass-online-classification-1302.1043"/></url>
<url><loc>https://scifaro.com/en/abs/update-rules-for-parameter-estimation-in-bayesian-networks-1302.1519</loc><lastmod>2013-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/update-rules-for-parameter-estimation-in-bayesian-networks-1302.1519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/update-rules-for-parameter-estimation-in-bayesian-networks-1302.1519"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-approach-to-learning-bayesian-networks-with-local-structure-1302.1528</loc><lastmod>2015-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-approach-to-learning-bayesian-networks-with-local-structure-1302.1528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-approach-to-learning-bayesian-networks-with-local-structure-1302.1528"/></url>
<url><loc>https://scifaro.com/en/abs/models-and-selection-criteria-for-regression-and-classification-1302.1545</loc><lastmod>2013-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/models-and-selection-criteria-for-regression-and-classification-1302.1545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/models-and-selection-criteria-for-regression-and-classification-1302.1545"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-theoretic-analysis-of-hard-and-soft-assignment-methods-for-clustering-1302.1552</loc><lastmod>2013-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-theoretic-analysis-of-hard-and-soft-assignment-methods-for-clustering-1302.1552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-theoretic-analysis-of-hard-and-soft-assignment-methods-for-clustering-1302.1552"/></url>
<url><loc>https://scifaro.com/en/abs/an-ann-based-method-for-detecting-vocal-fold-pathology-1302.1772</loc><lastmod>2013-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-ann-based-method-for-detecting-vocal-fold-pathology-1302.1772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-ann-based-method-for-detecting-vocal-fold-pathology-1302.1772"/></url>
<url><loc>https://scifaro.com/en/abs/passive-learning-with-target-risk-1302.2157</loc><lastmod>2013-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/passive-learning-with-target-risk-1302.2157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/passive-learning-with-target-risk-1302.2157"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-optimal-algorithms-for-unconstrained-linear-optimization-1302.2176</loc><lastmod>2013-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-optimal-algorithms-for-unconstrained-linear-optimization-1302.2176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-optimal-algorithms-for-unconstrained-linear-optimization-1302.2176"/></url>
<url><loc>https://scifaro.com/en/abs/a-time-series-forest-for-classification-and-feature-extraction-1302.2277</loc><lastmod>2013-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-time-series-forest-for-classification-and-feature-extraction-1302.2277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-time-series-forest-for-classification-and-feature-extraction-1302.2277"/></url>
<url><loc>https://scifaro.com/en/abs/extracting-useful-rules-through-improved-decision-tree-induction-using-information-entropy-1302.2436</loc><lastmod>2013-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extracting-useful-rules-through-improved-decision-tree-induction-using-information-entropy-1302.2436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extracting-useful-rules-through-improved-decision-tree-induction-using-information-entropy-1302.2436"/></url>
<url><loc>https://scifaro.com/en/abs/online-regret-bounds-for-undiscounted-continuous-reinforcement-learning-1302.2550</loc><lastmod>2013-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-regret-bounds-for-undiscounted-continuous-reinforcement-learning-1302.2550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-regret-bounds-for-undiscounted-continuous-reinforcement-learning-1302.2550"/></url>
<url><loc>https://scifaro.com/en/abs/selecting-the-state-representation-in-reinforcement-learning-1302.2552</loc><lastmod>2013-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selecting-the-state-representation-in-reinforcement-learning-1302.2552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selecting-the-state-representation-in-reinforcement-learning-1302.2552"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-regret-bounds-for-selecting-the-state-representation-in-reinforcement-learning-1302.2553</loc><lastmod>2013-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-regret-bounds-for-selecting-the-state-representation-in-reinforcement-learning-1302.2553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-regret-bounds-for-selecting-the-state-representation-in-reinforcement-learning-1302.2553"/></url>
<url><loc>https://scifaro.com/en/abs/the-trace-norm-constrained-matrix-variate-gaussian-process-for-multitask-bipartite-ranking-1302.2576</loc><lastmod>2013-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-trace-norm-constrained-matrix-variate-gaussian-process-for-multitask-bipartite-ranking-1302.2576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-trace-norm-constrained-matrix-variate-gaussian-process-for-multitask-bipartite-ranking-1302.2576"/></url>
<url><loc>https://scifaro.com/en/abs/a-tensor-approach-to-learning-mixed-membership-community-models-1302.2684</loc><lastmod>2013-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tensor-approach-to-learning-mixed-membership-community-models-1302.2684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tensor-approach-to-learning-mixed-membership-community-models-1302.2684"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-metric-dimensionality-reduction-1302.2752</loc><lastmod>2015-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-metric-dimensionality-reduction-1302.2752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-metric-dimensionality-reduction-1302.2752"/></url>
<url><loc>https://scifaro.com/en/abs/coherence-and-sufficient-sampling-densities-for-reconstruction-in-compressed-sensing-1302.2767</loc><lastmod>2013-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coherence-and-sufficient-sampling-densities-for-reconstruction-in-compressed-sensing-1302.2767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coherence-and-sufficient-sampling-densities-for-reconstruction-in-compressed-sensing-1302.2767"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-dual-approach-to-distance-metric-learning-1302.3219</loc><lastmod>2013-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-dual-approach-to-distance-metric-learning-1302.3219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-dual-approach-to-distance-metric-learning-1302.3219"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-crowdsourcing-algorithms-for-the-bandit-survey-problem-1302.3268</loc><lastmod>2013-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-crowdsourcing-algorithms-for-the-bandit-survey-problem-1302.3268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-crowdsourcing-algorithms-for-the-bandit-survey-problem-1302.3268"/></url>
<url><loc>https://scifaro.com/en/abs/structboost-boosting-methods-for-predicting-structured-output-variables-1302.3283</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structboost-boosting-methods-for-predicting-structured-output-variables-1302.3283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structboost-boosting-methods-for-predicting-structured-output-variables-1302.3283"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-approximations-for-the-marginal-likelihood-of-incomplete-data-given-a-bayesian-network-1302.3567</loc><lastmod>2015-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-approximations-for-the-marginal-likelihood-of-incomplete-data-given-a-bayesian-network-1302.3567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-approximations-for-the-marginal-likelihood-of-incomplete-data-given-a-bayesian-network-1302.3567"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sample-complexity-of-learning-bayesian-networks-1302.3579</loc><lastmod>2013-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-learning-bayesian-networks-1302.3579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-learning-bayesian-networks-1302.3579"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-model-selection-for-directed-networks-with-hidden-variables-1302.3580</loc><lastmod>2015-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-model-selection-for-directed-networks-with-hidden-variables-1302.3580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-model-selection-for-directed-networks-with-hidden-variables-1302.3580"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-learning-of-loglinear-models-for-neural-connectivity-1302.3590</loc><lastmod>2013-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-learning-of-loglinear-models-for-neural-connectivity-1302.3590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-learning-of-loglinear-models-for-neural-connectivity-1302.3590"/></url>
<url><loc>https://scifaro.com/en/abs/bio-inspired-data-mining-treating-malware-signatures-as-biosequences-1302.3668</loc><lastmod>2013-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bio-inspired-data-mining-treating-malware-signatures-as-biosequences-1302.3668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bio-inspired-data-mining-treating-malware-signatures-as-biosequences-1302.3668"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-in-switching-environments-with-bayesian-online-change-point-detection-1302.3721</loc><lastmod>2013-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-in-switching-environments-with-bayesian-online-change-point-detection-1302.3721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-in-switching-environments-with-bayesian-online-change-point-detection-1302.3721"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-validity-based-on-the-most-similarity-1302.3956</loc><lastmod>2013-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-validity-based-on-the-most-similarity-1302.3956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-validity-based-on-the-most-similarity-1302.3956"/></url>
<url><loc>https://scifaro.com/en/abs/metrics-for-multivariate-dictionaries-1302.4242</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metrics-for-multivariate-dictionaries-1302.4242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metrics-for-multivariate-dictionaries-1302.4242"/></url>
<url><loc>https://scifaro.com/en/abs/feature-multi-selection-among-subjective-features-1302.4297</loc><lastmod>2013-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-multi-selection-among-subjective-features-1302.4297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-multi-selection-among-subjective-features-1302.4297"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-switching-costs-and-other-adaptive-adversaries-1302.4387</loc><lastmod>2013-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-switching-costs-and-other-adaptive-adversaries-1302.4387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-switching-costs-and-other-adaptive-adversaries-1302.4387"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-the-small-cluster-barrier-of-graph-clustering-1302.4549</loc><lastmod>2013-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-the-small-cluster-barrier-of-graph-clustering-1302.4549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-the-small-cluster-barrier-of-graph-clustering-1302.4549"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-continuous-distributions-in-bayesian-classifiers-1302.4964</loc><lastmod>2013-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-continuous-distributions-in-bayesian-classifiers-1302.4964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-continuous-distributions-in-bayesian-classifiers-1302.4964"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-generalization-bounds-for-learning-binary-relations-1302.5348</loc><lastmod>2013-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-generalization-bounds-for-learning-binary-relations-1302.5348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-generalization-bounds-for-learning-binary-relations-1302.5348"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-basis-pursuit-via-sparse-kernel-based-learning-1302.5449</loc><lastmod>2013-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-basis-pursuit-via-sparse-kernel-based-learning-1302.5449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-basis-pursuit-via-sparse-kernel-based-learning-1302.5449"/></url>
<url><loc>https://scifaro.com/en/abs/the-importance-of-clipping-in-neurocontrol-by-direct-gradient-descent-on-the-cost-to-go-function-and-in-adaptive-dynamic-programming-1302.5565</loc><lastmod>2013-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-importance-of-clipping-in-neurocontrol-by-direct-gradient-descent-on-the-cost-to-go-function-and-in-adaptive-dynamic-programming-1302.5565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-importance-of-clipping-in-neurocontrol-by-direct-gradient-descent-on-the-cost-to-go-function-and-in-adaptive-dynamic-programming-1302.5565"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-signal-estimation-by-maximally-sparse-convex-optimization-1302.5729</loc><lastmod>2015-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-signal-estimation-by-maximally-sparse-convex-optimization-1302.5729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-signal-estimation-by-maximally-sparse-convex-optimization-1302.5729"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-by-random-walk-perturbation-1302.5797</loc><lastmod>2013-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-by-random-walk-perturbation-1302.5797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-by-random-walk-perturbation-1302.5797"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-parametric-output-hmms-1302.6009</loc><lastmod>2013-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-parametric-output-hmms-1302.6009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-parametric-output-hmms-1302.6009"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-frequency-analysis-with-sparse-derivative-instantaneous-amplitude-and-phase-functions-1302.6523</loc><lastmod>2013-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-frequency-analysis-with-sparse-derivative-instantaneous-amplitude-and-phase-functions-1302.6523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-frequency-analysis-with-sparse-derivative-instantaneous-amplitude-and-phase-functions-1302.6523"/></url>
<url><loc>https://scifaro.com/en/abs/an-introductory-study-on-time-series-modeling-and-forecasting-1302.6613</loc><lastmod>2013-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-introductory-study-on-time-series-modeling-and-forecasting-1302.6613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-introductory-study-on-time-series-modeling-and-forecasting-1302.6613"/></url>
<url><loc>https://scifaro.com/en/abs/arriving-on-time-estimating-travel-time-distributions-on-large-scale-road-networks-1302.6617</loc><lastmod>2013-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arriving-on-time-estimating-travel-time-distributions-on-large-scale-road-networks-1302.6617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arriving-on-time-estimating-travel-time-distributions-on-large-scale-road-networks-1302.6617"/></url>
<url><loc>https://scifaro.com/en/abs/taming-the-curse-of-dimensionality-discrete-integration-by-hashing-and-optimization-1302.6677</loc><lastmod>2013-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taming-the-curse-of-dimensionality-discrete-integration-by-hashing-and-optimization-1302.6677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taming-the-curse-of-dimensionality-discrete-integration-by-hashing-and-optimization-1302.6677"/></url>
<url><loc>https://scifaro.com/en/abs/induction-of-selective-bayesian-classifiers-1302.6828</loc><lastmod>2013-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/induction-of-selective-bayesian-classifiers-1302.6828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/induction-of-selective-bayesian-classifiers-1302.6828"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-for-time-series-prediction-1302.6927</loc><lastmod>2013-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-for-time-series-prediction-1302.6927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-for-time-series-prediction-1302.6927"/></url>
<url><loc>https://scifaro.com/en/abs/online-convex-optimization-against-adversaries-with-memory-and-application-to-statistical-arbitrage-1302.6937</loc><lastmod>2014-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-convex-optimization-against-adversaries-with-memory-and-application-to-statistical-arbitrage-1302.6937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-convex-optimization-against-adversaries-with-memory-and-application-to-statistical-arbitrage-1302.6937"/></url>
<url><loc>https://scifaro.com/en/abs/spectrum-bandit-optimization-1302.6974</loc><lastmod>2015-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectrum-bandit-optimization-1302.6974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectrum-bandit-optimization-1302.6974"/></url>
<url><loc>https://scifaro.com/en/abs/online-similarity-prediction-of-networked-data-from-known-and-unknown-graphs-1302.7263</loc><lastmod>2013-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-similarity-prediction-of-networked-data-from-known-and-unknown-graphs-1302.7263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-similarity-prediction-of-networked-data-from-known-and-unknown-graphs-1302.7263"/></url>
<url><loc>https://scifaro.com/en/abs/source-separation-using-regularized-nmf-with-mmse-estimates-under-gmm-priors-with-online-learning-for-the-uncertainties-1302.7283</loc><lastmod>2013-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/source-separation-using-regularized-nmf-with-mmse-estimates-under-gmm-priors-with-online-learning-for-the-uncertainties-1302.7283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/source-separation-using-regularized-nmf-with-mmse-estimates-under-gmm-priors-with-online-learning-for-the-uncertainties-1302.7283"/></url>
<url><loc>https://scifaro.com/en/abs/second-order-non-stationary-online-learning-for-regression-1303.0140</loc><lastmod>2013-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/second-order-non-stationary-online-learning-for-regression-1303.0140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/second-order-non-stationary-online-learning-for-regression-1303.0140"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-signal-classification-for-financial-instruments-1303.0283</loc><lastmod>2013-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-signal-classification-for-financial-instruments-1303.0283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-signal-classification-for-financial-instruments-1303.0283"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hash-functions-using-column-generation-1303.0339</loc><lastmod>2013-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hash-functions-using-column-generation-1303.0339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hash-functions-using-column-generation-1303.0339"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-via-max-norm-constrained-optimization-1303.0341</loc><lastmod>2017-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-via-max-norm-constrained-optimization-1303.0341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-via-max-norm-constrained-optimization-1303.0341"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-sparse-subspace-clustering-1303.0362</loc><lastmod>2014-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-sparse-subspace-clustering-1303.0362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-sparse-subspace-clustering-1303.0362"/></url>
<url><loc>https://scifaro.com/en/abs/denoising-deep-neural-networks-based-voice-activity-detection-1303.0663</loc><lastmod>2013-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/denoising-deep-neural-networks-based-voice-activity-detection-1303.0663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/denoising-deep-neural-networks-based-voice-activity-detection-1303.0663"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-temporal-dictionary-learning-for-eeg-1303.0742</loc><lastmod>2013-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-temporal-dictionary-learning-for-eeg-1303.0742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-temporal-dictionary-learning-for-eeg-1303.0742"/></url>
<url><loc>https://scifaro.com/en/abs/gurls-a-least-squares-library-for-supervised-learning-1303.0934</loc><lastmod>2013-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gurls-a-least-squares-library-for-supervised-learning-1303.0934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gurls-a-least-squares-library-for-supervised-learning-1303.0934"/></url>
<url><loc>https://scifaro.com/en/abs/an-equivalence-between-the-lasso-and-support-vector-machines-1303.1152</loc><lastmod>2014-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-equivalence-between-the-lasso-and-support-vector-machines-1303.1152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-equivalence-between-the-lasso-and-support-vector-machines-1303.1152"/></url>
<url><loc>https://scifaro.com/en/abs/discovery-of-factors-in-matrices-with-grades-1303.1264</loc><lastmod>2013-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovery-of-factors-in-matrices-with-grades-1303.1264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovery-of-factors-in-matrices-with-grades-1303.1264"/></url>
<url><loc>https://scifaro.com/en/abs/convex-and-scalable-weakly-labeled-svms-1303.1271</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-and-scalable-weakly-labeled-svms-1303.1271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-and-scalable-weakly-labeled-svms-1303.1271"/></url>
<url><loc>https://scifaro.com/en/abs/large-margin-metric-learning-for-partitioning-problems-1303.1280</loc><lastmod>2013-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-margin-metric-learning-for-partitioning-problems-1303.1280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-margin-metric-learning-for-partitioning-problems-1303.1280"/></url>
<url><loc>https://scifaro.com/en/abs/multi-relational-learning-using-weighted-tensor-decomposition-with-modular-loss-1303.1733</loc><lastmod>2013-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-relational-learning-using-weighted-tensor-decomposition-with-modular-loss-1303.1733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-relational-learning-using-weighted-tensor-decomposition-with-modular-loss-1303.1733"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-the-nystrom-method-for-improved-large-scale-machine-learning-1303.1849</loc><lastmod>2013-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-the-nystrom-method-for-improved-large-scale-machine-learning-1303.1849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-the-nystrom-method-for-improved-large-scale-machine-learning-1303.1849"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-voice-activity-detection-a-denoising-deep-neural-network-perspective-1303.2104</loc><lastmod>2013-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-voice-activity-detection-a-denoising-deep-neural-network-perspective-1303.2104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-voice-activity-detection-a-denoising-deep-neural-network-perspective-1303.2104"/></url>
<url><loc>https://scifaro.com/en/abs/convex-discriminative-multitask-clustering-1303.2130</loc><lastmod>2013-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-discriminative-multitask-clustering-1303.2130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-discriminative-multitask-clustering-1303.2130"/></url>
<url><loc>https://scifaro.com/en/abs/heuristic-ternary-error-correcting-output-codes-via-weight-optimization-and-layered-clustering-based-approach-1303.2132</loc><lastmod>2014-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heuristic-ternary-error-correcting-output-codes-via-weight-optimization-and-layered-clustering-based-approach-1303.2132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heuristic-ternary-error-correcting-output-codes-via-weight-optimization-and-layered-clustering-based-approach-1303.2132"/></url>
<url><loc>https://scifaro.com/en/abs/complex-support-vector-machines-for-regression-and-quaternary-classification-1303.2184</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complex-support-vector-machines-for-regression-and-quaternary-classification-1303.2184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complex-support-vector-machines-for-regression-and-quaternary-classification-1303.2184"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-on-multi-layer-graphs-via-subspace-analysis-on-grassmann-manifolds-1303.2221</loc><lastmod>2015-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-on-multi-layer-graphs-via-subspace-analysis-on-grassmann-manifolds-1303.2221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-on-multi-layer-graphs-via-subspace-analysis-on-grassmann-manifolds-1303.2221"/></url>
<url><loc>https://scifaro.com/en/abs/mini-batch-primal-and-dual-methods-for-svms-1303.2314</loc><lastmod>2013-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mini-batch-primal-and-dual-methods-for-svms-1303.2314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mini-batch-primal-and-dual-methods-for-svms-1303.2314"/></url>
<url><loc>https://scifaro.com/en/abs/linear-ndcg-and-pair-wise-loss-1303.2417</loc><lastmod>2013-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-ndcg-and-pair-wise-loss-1303.2417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-ndcg-and-pair-wise-loss-1303.2417"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-utility-estimates-for-bayesian-reinforcement-learning-1303.2506</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-utility-estimates-for-bayesian-reinforcement-learning-1303.2506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-utility-estimates-for-bayesian-reinforcement-learning-1303.2506"/></url>
<url><loc>https://scifaro.com/en/abs/revealing-cluster-structure-of-graph-by-path-following-replicator-dynamic-1303.2643</loc><lastmod>2013-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revealing-cluster-structure-of-graph-by-path-following-replicator-dynamic-1303.2643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revealing-cluster-structure-of-graph-by-path-following-replicator-dynamic-1303.2643"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-q-learning-applied-to-ubiquitous-recommender-system-1303.2651</loc><lastmod>2014-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-q-learning-applied-to-ubiquitous-recommender-system-1303.2651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-q-learning-applied-to-ubiquitous-recommender-system-1303.2651"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-bioclimatic-modelling-1303.2739</loc><lastmod>2013-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-bioclimatic-modelling-1303.2739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-bioclimatic-modelling-1303.2739"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-processes-for-nonlinear-signal-processing-1303.2823</loc><lastmod>2013-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-processes-for-nonlinear-signal-processing-1303.2823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-processes-for-nonlinear-signal-processing-1303.2823"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-in-markov-decision-processes-with-adversarially-chosen-transition-probability-distributions-1303.3055</loc><lastmod>2013-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-in-markov-decision-processes-with-adversarially-chosen-transition-probability-distributions-1303.3055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-in-markov-decision-processes-with-adversarially-chosen-transition-probability-distributions-1303.3055"/></url>
<url><loc>https://scifaro.com/en/abs/group-sparse-model-selection-hardness-and-relaxations-1303.3207</loc><lastmod>2015-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-sparse-model-selection-hardness-and-relaxations-1303.3207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-sparse-model-selection-hardness-and-relaxations-1303.3207"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-probabilistic-component-analysis-1303.3240</loc><lastmod>2014-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-probabilistic-component-analysis-1303.3240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-probabilistic-component-analysis-1303.3240"/></url>
<url><loc>https://scifaro.com/en/abs/a-last-step-regression-algorithm-for-non-stationary-online-learning-1303.3754</loc><lastmod>2013-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-last-step-regression-algorithm-for-non-stationary-online-learning-1303.3754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-last-step-regression-algorithm-for-non-stationary-online-learning-1303.3754"/></url>
<url><loc>https://scifaro.com/en/abs/a-quorum-sensing-inspired-algorithm-for-dynamic-clustering-1303.3934</loc><lastmod>2015-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-quorum-sensing-inspired-algorithm-for-dynamic-clustering-1303.3934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-quorum-sensing-inspired-algorithm-for-dynamic-clustering-1303.3934"/></url>
<url><loc>https://scifaro.com/en/abs/l-2-p-matrix-norm-and-its-application-in-feature-selection-1303.3987</loc><lastmod>2013-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l-2-p-matrix-norm-and-its-application-in-feature-selection-1303.3987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l-2-p-matrix-norm-and-its-application-in-feature-selection-1303.3987"/></url>
<url><loc>https://scifaro.com/en/abs/on-multi-class-learning-through-the-minimization-of-the-confusion-matrix-norm-1303.4015</loc><lastmod>2013-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-multi-class-learning-through-the-minimization-of-the-confusion-matrix-norm-1303.4015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-multi-class-learning-through-the-minimization-of-the-confusion-matrix-norm-1303.4015"/></url>
<url><loc>https://scifaro.com/en/abs/markov-chain-monte-carlo-for-arrangement-of-hyperplanes-in-locality-sensitive-hashing-1303.4169</loc><lastmod>2013-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-chain-monte-carlo-for-arrangement-of-hyperplanes-in-locality-sensitive-hashing-1303.4169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-chain-monte-carlo-for-arrangement-of-hyperplanes-in-locality-sensitive-hashing-1303.4169"/></url>
<url><loc>https://scifaro.com/en/abs/margins-shrinkage-and-boosting-1303.4172</loc><lastmod>2013-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/margins-shrinkage-and-boosting-1303.4172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/margins-shrinkage-and-boosting-1303.4172"/></url>
<url><loc>https://scifaro.com/en/abs/improving-cur-matrix-decomposition-and-the-nystr-o-m-approximation-via-adaptive-sampling-1303.4207</loc><lastmod>2013-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-cur-matrix-decomposition-and-the-nystr-o-m-approximation-via-adaptive-sampling-1303.4207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-cur-matrix-decomposition-and-the-nystr-o-m-approximation-via-adaptive-sampling-1303.4207"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-iterative-shrinkage-and-thresholding-algorithm-for-non-convex-regularized-optimization-problems-1303.4434</loc><lastmod>2013-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-iterative-shrinkage-and-thresholding-algorithm-for-non-convex-regularized-optimization-problems-1303.4434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-iterative-shrinkage-and-thresholding-algorithm-for-non-convex-regularized-optimization-problems-1303.4434"/></url>
<url><loc>https://scifaro.com/en/abs/on-improving-energy-efficiency-within-green-femtocell-networks-a-hierarchical-reinforcement-learning-approach-1303.4638</loc><lastmod>2013-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-improving-energy-efficiency-within-green-femtocell-networks-a-hierarchical-reinforcement-learning-approach-1303.4638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-improving-energy-efficiency-within-green-femtocell-networks-a-hierarchical-reinforcement-learning-approach-1303.4638"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-learning-with-less-ram-via-randomization-1303.4664</loc><lastmod>2013-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-learning-with-less-ram-via-randomization-1303.4664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-learning-with-less-ram-via-randomization-1303.4664"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-feature-selection-for-subspace-clustering-1303.4778</loc><lastmod>2016-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-feature-selection-for-subspace-clustering-1303.4778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-feature-selection-for-subspace-clustering-1303.4778"/></url>
<url><loc>https://scifaro.com/en/abs/an-entropy-based-learning-algorithm-of-bayesian-conditional-trees-1303.5403</loc><lastmod>2013-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-entropy-based-learning-algorithm-of-bayesian-conditional-trees-1303.5403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-entropy-based-learning-algorithm-of-bayesian-conditional-trees-1303.5403"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-k-means-for-an-arbitrary-distance-matrix-1303.6001</loc><lastmod>2013-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-k-means-for-an-arbitrary-distance-matrix-1303.6001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-k-means-for-an-arbitrary-distance-matrix-1303.6001"/></url>
<url><loc>https://scifaro.com/en/abs/on-sparsity-inducing-regularization-methods-for-machine-learning-1303.6086</loc><lastmod>2013-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-sparsity-inducing-regularization-methods-for-machine-learning-1303.6086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-sparsity-inducing-regularization-methods-for-machine-learning-1303.6086"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-k-support-norm-regularized-risk-minimization-1303.6390</loc><lastmod>2013-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-k-support-norm-regularized-risk-minimization-1303.6390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-k-support-norm-regularized-risk-minimization-1303.6390"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-hashing-on-manifolds-1303.7043</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-hashing-on-manifolds-1303.7043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-hashing-on-manifolds-1303.7043"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-text-and-link-analysis-with-mixed-topic-link-models-1303.7264</loc><lastmod>2014-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-text-and-link-analysis-with-mixed-topic-link-models-1303.7264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-text-and-link-analysis-with-mixed-topic-link-models-1303.7264"/></url>
<url><loc>https://scifaro.com/en/abs/independent-vector-analysis-identification-conditions-and-performance-bounds-1303.7474</loc><lastmod>2016-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/independent-vector-analysis-identification-conditions-and-performance-bounds-1303.7474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/independent-vector-analysis-identification-conditions-and-performance-bounds-1303.7474"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-computation-is-ess-1304.0160</loc><lastmod>2013-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-computation-is-ess-1304.0160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-computation-is-ess-1304.0160"/></url>
<url><loc>https://scifaro.com/en/abs/improved-performance-of-unsupervised-method-by-renovated-k-means-1304.0725</loc><lastmod>2013-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-performance-of-unsupervised-method-by-renovated-k-means-1304.0725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-performance-of-unsupervised-method-by-renovated-k-means-1304.0725"/></url>
<url><loc>https://scifaro.com/en/abs/representation-approximation-and-learning-of-submodular-functions-using-low-rank-decision-trees-1304.0730</loc><lastmod>2013-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-approximation-and-learning-of-submodular-functions-using-low-rank-decision-trees-1304.0730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-approximation-and-learning-of-submodular-functions-using-low-rank-decision-trees-1304.0730"/></url>
<url><loc>https://scifaro.com/en/abs/o-logt-projections-for-stochastic-optimization-of-smooth-and-strongly-convex-functions-1304.0740</loc><lastmod>2013-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/o-logt-projections-for-stochastic-optimization-of-smooth-and-strongly-convex-functions-1304.0740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/o-logt-projections-for-stochastic-optimization-of-smooth-and-strongly-convex-functions-1304.0740"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-phoneme-class-conditional-probabilities-from-raw-speech-signal-using-convolutional-neural-networks-1304.1018</loc><lastmod>2013-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-phoneme-class-conditional-probabilities-from-raw-speech-signal-using-convolutional-neural-networks-1304.1018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-phoneme-class-conditional-probabilities-from-raw-speech-signal-using-convolutional-neural-networks-1304.1018"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-distance-metric-learning-by-adaptive-sampling-and-mini-batch-stochastic-gradient-descent-sgd-1304.1192</loc><lastmod>2013-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-distance-metric-learning-by-adaptive-sampling-and-mini-batch-stochastic-gradient-descent-sgd-1304.1192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-distance-metric-learning-by-adaptive-sampling-and-mini-batch-stochastic-gradient-descent-sgd-1304.1192"/></url>
<url><loc>https://scifaro.com/en/abs/fast-svm-training-using-approximate-extreme-points-1304.1391</loc><lastmod>2013-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-svm-training-using-approximate-extreme-points-1304.1391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-svm-training-using-approximate-extreme-points-1304.1391"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-domain-adaptation-1304.1574</loc><lastmod>2013-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-domain-adaptation-1304.1574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-domain-adaptation-1304.1574"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-for-interacting-bayes-optimally-with-self-interested-agents-using-arbitrary-parametric-model-and-model-prior-1304.2024</loc><lastmod>2014-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-for-interacting-bayes-optimally-with-self-interested-agents-using-arbitrary-parametric-model-and-model-prior-1304.2024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-for-interacting-bayes-optimally-with-self-interested-agents-using-arbitrary-parametric-model-and-model-prior-1304.2024"/></url>
<url><loc>https://scifaro.com/en/abs/learning-coverage-functions-and-private-release-of-marginals-1304.2079</loc><lastmod>2014-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-coverage-functions-and-private-release-of-marginals-1304.2079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-coverage-functions-and-private-release-of-marginals-1304.2079"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-decision-trees-1304.2363</loc><lastmod>2013-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-decision-trees-1304.2363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-decision-trees-1304.2363"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-online-mirror-descent-with-applications-to-classification-and-regression-1304.2994</loc><lastmod>2015-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-online-mirror-descent-with-applications-to-classification-and-regression-1304.2994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-online-mirror-descent-with-applications-to-classification-and-regression-1304.2994"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-classification-using-fuzzy-support-vector-machines-1304.3345</loc><lastmod>2013-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-classification-using-fuzzy-support-vector-machines-1304.3345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-classification-using-fuzzy-support-vector-machines-1304.3345"/></url>
<url><loc>https://scifaro.com/en/abs/advice-efficient-prediction-with-expert-advice-1304.3708</loc><lastmod>2013-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advice-efficient-prediction-with-expert-advice-1304.3708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advice-efficient-prediction-with-expert-advice-1304.3708"/></url>
<url><loc>https://scifaro.com/en/abs/towards-more-accurate-clustering-method-by-using-dynamic-time-warping-1304.3745</loc><lastmod>2013-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-more-accurate-clustering-method-by-using-dynamic-time-warping-1304.3745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-more-accurate-clustering-method-by-using-dynamic-time-warping-1304.3745"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-homogeneity-inter-clusters-measure-in-semisupervised-clustering-1304.3840</loc><lastmod>2013-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-homogeneity-inter-clusters-measure-in-semisupervised-clustering-1304.3840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-homogeneity-inter-clusters-measure-in-semisupervised-clustering-1304.3840"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-coding-and-dictionary-learning-for-symmetric-positive-definite-matrices-a-kernel-approach-1304.4344</loc><lastmod>2013-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-coding-and-dictionary-learning-for-symmetric-positive-definite-matrices-a-kernel-approach-1304.4344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-coding-and-dictionary-learning-for-symmetric-positive-definite-matrices-a-kernel-approach-1304.4344"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-model-free-representation-learning-1304.4806</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-model-free-representation-learning-1304.4806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-model-free-representation-learning-1304.4806"/></url>
<url><loc>https://scifaro.com/en/abs/austerity-in-mcmc-land-cutting-the-metropolis-hastings-budget-1304.5299</loc><lastmod>2014-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/austerity-in-mcmc-land-cutting-the-metropolis-hastings-budget-1304.5299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/austerity-in-mcmc-land-cutting-the-metropolis-hastings-budget-1304.5299"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-gaussian-process-optimization-with-upper-confidence-bound-and-pure-exploration-1304.5350</loc><lastmod>2013-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-gaussian-process-optimization-with-upper-confidence-bound-and-pure-exploration-1304.5350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-gaussian-process-optimization-with-upper-confidence-bound-and-pure-exploration-1304.5350"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-stochastic-strongly-convex-optimization-with-a-logarithmic-number-of-projections-1304.5504</loc><lastmod>2016-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-stochastic-strongly-convex-optimization-with-a-logarithmic-number-of-projections-1304.5504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-stochastic-strongly-convex-optimization-with-a-logarithmic-number-of-projections-1304.5504"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-density-as-an-inverse-problem-the-fredholm-equation-approach-1304.5575</loc><lastmod>2013-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-density-as-an-inverse-problem-the-fredholm-equation-approach-1304.5575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-density-as-an-inverse-problem-the-fredholm-equation-approach-1304.5575"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-multi-view-learning-1304.5634</loc><lastmod>2013-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-multi-view-learning-1304.5634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-multi-view-learning-1304.5634"/></url>
<url><loc>https://scifaro.com/en/abs/analytic-feature-selection-for-support-vector-machines-1304.5678</loc><lastmod>2013-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analytic-feature-selection-for-support-vector-machines-1304.5678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analytic-feature-selection-for-support-vector-machines-1304.5678"/></url>
<url><loc>https://scifaro.com/en/abs/continuum-armed-bandit-problem-of-few-variables-in-high-dimensions-1304.5793</loc><lastmod>2014-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuum-armed-bandit-problem-of-few-variables-in-high-dimensions-1304.5793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuum-armed-bandit-problem-of-few-variables-in-high-dimensions-1304.5793"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-classifier-chains-for-bird-sound-1304.5862</loc><lastmod>2013-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-classifier-chains-for-bird-sound-1304.5862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-classifier-chains-for-bird-sound-1304.5862"/></url>
<url><loc>https://scifaro.com/en/abs/the-stochastic-gradient-descent-for-the-primal-l1-svm-optimization-revisited-1304.6383</loc><lastmod>2014-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-stochastic-gradient-descent-for-the-primal-l1-svm-optimization-revisited-1304.6383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-stochastic-gradient-descent-for-the-primal-l1-svm-optimization-revisited-1304.6383"/></url>
<url><loc>https://scifaro.com/en/abs/the-k-modes-algorithm-for-clustering-1304.6478</loc><lastmod>2013-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-k-modes-algorithm-for-clustering-1304.6478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-k-modes-algorithm-for-clustering-1304.6478"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretical-analysis-of-ndcg-type-ranking-measures-1304.6480</loc><lastmod>2013-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-analysis-of-ndcg-type-ranking-measures-1304.6480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-analysis-of-ndcg-type-ranking-measures-1304.6480"/></url>
<url><loc>https://scifaro.com/en/abs/locally-linear-representation-for-image-clustering-1304.6487</loc><lastmod>2017-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-linear-representation-for-image-clustering-1304.6487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-linear-representation-for-image-clustering-1304.6487"/></url>
<url><loc>https://scifaro.com/en/abs/an-implementation-of-the-relational-k-means-algorithm-1304.6899</loc><lastmod>2013-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-implementation-of-the-relational-k-means-algorithm-1304.6899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-implementation-of-the-relational-k-means-algorithm-1304.6899"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithm-for-training-polynomial-networks-1304.7045</loc><lastmod>2014-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithm-for-training-polynomial-networks-1304.7045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithm-for-training-polynomial-networks-1304.7045"/></url>
<url><loc>https://scifaro.com/en/abs/irreflexive-and-hierarchical-relations-as-translations-1304.7158</loc><lastmod>2013-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/irreflexive-and-hierarchical-relations-as-translations-1304.7158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/irreflexive-and-hierarchical-relations-as-translations-1304.7158"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-heterogeneous-multiview-learning-for-joint-association-study-and-disease-diagnosis-1304.7284</loc><lastmod>2013-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-heterogeneous-multiview-learning-for-joint-association-study-and-disease-diagnosis-1304.7284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-heterogeneous-multiview-learning-for-joint-association-study-and-disease-diagnosis-1304.7284"/></url>
<url><loc>https://scifaro.com/en/abs/deterministic-initialization-of-the-k-means-algorithm-using-hierarchical-clustering-1304.7465</loc><lastmod>2013-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deterministic-initialization-of-the-k-means-algorithm-using-hierarchical-clustering-1304.7465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deterministic-initialization-of-the-k-means-algorithm-using-hierarchical-clustering-1304.7465"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-eigenvectors-for-large-scale-locally-biased-learning-1304.7528</loc><lastmod>2013-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-eigenvectors-for-large-scale-locally-biased-learning-1304.7528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-eigenvectors-for-large-scale-locally-biased-learning-1304.7528"/></url>
<url><loc>https://scifaro.com/en/abs/fractal-structures-in-adversarial-prediction-1304.7576</loc><lastmod>2013-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fractal-structures-in-adversarial-prediction-1304.7576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fractal-structures-in-adversarial-prediction-1304.7576"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-amortized-regret-in-every-interval-1304.7577</loc><lastmod>2013-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-amortized-regret-in-every-interval-1304.7577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-amortized-regret-in-every-interval-1304.7577"/></url>
<url><loc>https://scifaro.com/en/abs/north-atlantic-right-whale-contact-call-detection-1304.7851</loc><lastmod>2013-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/north-atlantic-right-whale-contact-call-detection-1304.7851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/north-atlantic-right-whale-contact-call-detection-1304.7851"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-information-maximization-clustering-1304.8020</loc><lastmod>2013-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-information-maximization-clustering-1304.8020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-information-maximization-clustering-1304.8020"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-unclustered-data-unsupervised-binary-labeling-of-two-datasets-having-different-class-balances-1305.0103</loc><lastmod>2013-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-unclustered-data-unsupervised-binary-labeling-of-two-datasets-having-different-class-balances-1305.0103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-unclustered-data-unsupervised-binary-labeling-of-two-datasets-having-different-class-balances-1305.0103"/></url>
<url><loc>https://scifaro.com/en/abs/perceptron-mistake-bounds-1305.0208</loc><lastmod>2013-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perceptron-mistake-bounds-1305.0208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perceptron-mistake-bounds-1305.0208"/></url>
<url><loc>https://scifaro.com/en/abs/testing-hypotheses-by-regularized-maximum-mean-discrepancy-1305.0423</loc><lastmod>2013-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-hypotheses-by-regularized-maximum-mean-discrepancy-1305.0423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-hypotheses-by-regularized-maximum-mean-discrepancy-1305.0423"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-of-representations-looking-forward-1305.0445</loc><lastmod>2013-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-of-representations-looking-forward-1305.0445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-of-representations-looking-forward-1305.0445"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-em-algorithm-1305.0626</loc><lastmod>2013-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-em-algorithm-1305.0626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-em-algorithm-1305.0626"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-based-on-term-frequency-and-t-test-for-text-categorization-1305.0638</loc><lastmod>2013-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-based-on-term-frequency-and-t-test-for-text-categorization-1305.0638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-based-on-term-frequency-and-t-test-for-text-categorization-1305.0638"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-classification-using-restricted-boltzmann-machine-1305.0665</loc><lastmod>2013-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-classification-using-restricted-boltzmann-machine-1305.0665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-classification-using-restricted-boltzmann-machine-1305.0665"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-imprecise-and-fuzzy-observations-data-disambiguation-through-generalized-loss-minimization-1305.0698</loc><lastmod>2017-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-imprecise-and-fuzzy-observations-data-disambiguation-through-generalized-loss-minimization-1305.0698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-imprecise-and-fuzzy-observations-data-disambiguation-through-generalized-loss-minimization-1305.0698"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-estimation-of-the-number-of-neighbours-in-probabilistic-k-nearest-neighbour-classification-1305.1002</loc><lastmod>2013-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-estimation-of-the-number-of-neighbours-in-probabilistic-k-nearest-neighbour-classification-1305.1002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-estimation-of-the-number-of-neighbours-in-probabilistic-k-nearest-neighbour-classification-1305.1002"/></url>
<url><loc>https://scifaro.com/en/abs/simple-deep-random-model-ensemble-1305.1019</loc><lastmod>2014-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-deep-random-model-ensemble-1305.1019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-deep-random-model-ensemble-1305.1019"/></url>
<url><loc>https://scifaro.com/en/abs/a-differential-equations-approach-to-optimizing-regret-trade-offs-1305.1359</loc><lastmod>2013-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-differential-equations-approach-to-optimizing-regret-trade-offs-1305.1359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-differential-equations-approach-to-optimizing-regret-trade-offs-1305.1359"/></url>
<url><loc>https://scifaro.com/en/abs/one-pass-auc-optimization-1305.1363</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-pass-auc-optimization-1305.1363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-pass-auc-optimization-1305.1363"/></url>
<url><loc>https://scifaro.com/en/abs/class-imbalance-problem-in-data-mining-review-1305.1707</loc><lastmod>2013-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-imbalance-problem-in-data-mining-review-1305.1707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-imbalance-problem-in-data-mining-review-1305.1707"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-descent-algorithms-for-strongly-convex-functions-at-o-1-t-convergence-rates-1305.2218</loc><lastmod>2013-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-descent-algorithms-for-strongly-convex-functions-at-o-1-t-convergence-rates-1305.2218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-descent-algorithms-for-strongly-convex-functions-at-o-1-t-convergence-rates-1305.2218"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-collapsed-variational-bayesian-inference-for-latent-dirichlet-allocation-1305.2452</loc><lastmod>2013-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-collapsed-variational-bayesian-inference-for-latent-dirichlet-allocation-1305.2452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-collapsed-variational-bayesian-inference-for-latent-dirichlet-allocation-1305.2452"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-generalization-ability-of-online-learning-algorithms-for-pairwise-loss-functions-1305.2505</loc><lastmod>2013-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-generalization-ability-of-online-learning-algorithms-for-pairwise-loss-functions-1305.2505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-generalization-ability-of-online-learning-algorithms-for-pairwise-loss-functions-1305.2505"/></url>
<url><loc>https://scifaro.com/en/abs/learning-policies-for-contextual-submodular-prediction-1305.2532</loc><lastmod>2013-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-policies-for-contextual-submodular-prediction-1305.2532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-policies-for-contextual-submodular-prediction-1305.2532"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-with-the-logistic-loss-is-consistent-1305.2648</loc><lastmod>2013-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-with-the-logistic-loss-is-consistent-1305.2648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-with-the-logistic-loss-is-consistent-1305.2648"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-algorithm-for-learning-with-semi-bandit-feedback-1305.2732</loc><lastmod>2013-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-algorithm-for-learning-with-semi-bandit-feedback-1305.2732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-algorithm-for-learning-with-semi-bandit-feedback-1305.2732"/></url>
<url><loc>https://scifaro.com/en/abs/hrf-estimation-improves-sensitivity-of-fmri-encoding-and-decoding-models-1305.2788</loc><lastmod>2013-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hrf-estimation-improves-sensitivity-of-fmri-encoding-and-decoding-models-1305.2788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hrf-estimation-improves-sensitivity-of-fmri-encoding-and-decoding-models-1305.2788"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-or-propagating-gradients-through-stochastic-neurons-1305.2982</loc><lastmod>2013-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-or-propagating-gradients-through-stochastic-neurons-1305.2982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-or-propagating-gradients-through-stochastic-neurons-1305.2982"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-audience-reach-estimation-in-real-time-online-advertising-1305.3014</loc><lastmod>2013-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-audience-reach-estimation-in-real-time-online-advertising-1305.3014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-audience-reach-estimation-in-real-time-online-advertising-1305.3014"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-density-estimation-via-piecewise-polynomial-approximation-1305.3207</loc><lastmod>2013-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-density-estimation-via-piecewise-polynomial-approximation-1305.3207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-density-estimation-via-piecewise-polynomial-approximation-1305.3207"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-in-a-contract-selection-problem-1305.3334</loc><lastmod>2013-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-in-a-contract-selection-problem-1305.3334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-in-a-contract-selection-problem-1305.3334"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-content-based-recommender-systems-using-tree-matching-1305.3384</loc><lastmod>2013-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-content-based-recommender-systems-using-tree-matching-1305.3384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-content-based-recommender-systems-using-tree-matching-1305.3384"/></url>
<url><loc>https://scifaro.com/en/abs/contractive-de-noising-auto-encoder-1305.4076</loc><lastmod>2014-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contractive-de-noising-auto-encoder-1305.4076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contractive-de-noising-auto-encoder-1305.4076"/></url>
<url><loc>https://scifaro.com/en/abs/conditions-for-convergence-in-regularized-machine-learning-objectives-1305.4081</loc><lastmod>2013-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditions-for-convergence-in-regularized-machine-learning-objectives-1305.4081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditions-for-convergence-in-regularized-machine-learning-objectives-1305.4081"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-on-images-using-a-string-distance-1305.4204</loc><lastmod>2013-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-on-images-using-a-string-distance-1305.4204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-on-images-using-a-string-distance-1305.4204"/></url>
<url><loc>https://scifaro.com/en/abs/horizon-independent-optimal-prediction-with-log-loss-in-exponential-families-1305.4324</loc><lastmod>2013-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/horizon-independent-optimal-prediction-with-log-loss-in-exponential-families-1305.4324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/horizon-independent-optimal-prediction-with-log-loss-in-exponential-families-1305.4324"/></url>
<url><loc>https://scifaro.com/en/abs/ensembles-of-classifiers-based-on-dimensionality-reduction-1305.4345</loc><lastmod>2013-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensembles-of-classifiers-based-on-dimensionality-reduction-1305.4345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensembles-of-classifiers-based-on-dimensionality-reduction-1305.4345"/></url>
<url><loc>https://scifaro.com/en/abs/meta-path-based-collective-classification-in-heterogeneous-information-networks-1305.4433</loc><lastmod>2013-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-path-based-collective-classification-in-heterogeneous-information-networks-1305.4433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-path-based-collective-classification-in-heterogeneous-information-networks-1305.4433"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-of-random-forest-based-gene-selection-methods-1305.4525</loc><lastmod>2013-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-of-random-forest-based-gene-selection-methods-1305.4525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-of-random-forest-based-gene-selection-methods-1305.4525"/></url>
<url><loc>https://scifaro.com/en/abs/power-to-the-points-validating-data-memberships-in-clusterings-1305.4757</loc><lastmod>2013-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-to-the-points-validating-data-memberships-in-clusterings-1305.4757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-to-the-points-validating-data-memberships-in-clusterings-1305.4757"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-random-forests-and-ferns-on-recognition-of-instruments-in-jazz-recordings-1305.5078</loc><lastmod>2013-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-random-forests-and-ferns-on-recognition-of-instruments-in-jazz-recordings-1305.5078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-random-forests-and-ferns-on-recognition-of-instruments-in-jazz-recordings-1305.5078"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-feature-selection-for-diagnosis-of-coronary-artery-disease-based-on-genetic-algorithm-1305.6046</loc><lastmod>2013-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-feature-selection-for-diagnosis-of-coronary-artery-disease-based-on-genetic-algorithm-1305.6046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-feature-selection-for-diagnosis-of-coronary-artery-disease-based-on-genetic-algorithm-1305.6046"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-approach-to-efficient-adaptive-path-planning-for-mobile-robotic-environmental-sensing-1305.6129</loc><lastmod>2013-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-approach-to-efficient-adaptive-path-planning-for-mobile-robotic-environmental-sensing-1305.6129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-approach-to-efficient-adaptive-path-planning-for-mobile-robotic-environmental-sensing-1305.6129"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-the-soccer-dribbling-task-1305.6568</loc><lastmod>2013-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-the-soccer-dribbling-task-1305.6568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-the-soccer-dribbling-task-1305.6568"/></url>
<url><loc>https://scifaro.com/en/abs/normalized-online-learning-1305.6646</loc><lastmod>2013-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalized-online-learning-1305.6646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalized-online-learning-1305.6646"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-clustering-via-asymptotics-of-the-dependent-dirichlet-process-mixture-1305.6659</loc><lastmod>2013-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-clustering-via-asymptotics-of-the-dependent-dirichlet-process-mixture-1305.6659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-clustering-via-asymptotics-of-the-dependent-dirichlet-process-mixture-1305.6659"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-denoising-auto-encoders-as-generative-models-1305.6663</loc><lastmod>2013-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-denoising-auto-encoders-as-generative-models-1305.6663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-denoising-auto-encoders-as-generative-models-1305.6663"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-severity-of-breast-masses-with-data-mining-methods-1305.7057</loc><lastmod>2013-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-severity-of-breast-masses-with-data-mining-methods-1305.7057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-severity-of-breast-masses-with-data-mining-methods-1305.7057"/></url>
<url><loc>https://scifaro.com/en/abs/test-cost-and-misclassification-cost-trade-off-using-reframing-1305.7111</loc><lastmod>2013-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/test-cost-and-misclassification-cost-trade-off-using-reframing-1305.7111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/test-cost-and-misclassification-cost-trade-off-using-reframing-1305.7111"/></url>
<url><loc>https://scifaro.com/en/abs/alternating-decision-trees-for-early-diagnosis-of-dengue-fever-1305.7331</loc><lastmod>2013-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternating-decision-trees-for-early-diagnosis-of-dengue-fever-1305.7331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternating-decision-trees-for-early-diagnosis-of-dengue-fever-1305.7331"/></url>
<url><loc>https://scifaro.com/en/abs/privileged-information-for-data-clustering-1305.7454</loc><lastmod>2013-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privileged-information-for-data-clustering-1305.7454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privileged-information-for-data-clustering-1305.7454"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-act-r-an-outsider-s-perspective-1306.0125</loc><lastmod>2013-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-act-r-an-outsider-s-perspective-1306.0125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-act-r-an-outsider-s-perspective-1306.0125"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-ad-allocation-bandits-with-budgets-1306.0155</loc><lastmod>2013-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-ad-allocation-bandits-with-budgets-1306.0155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-ad-allocation-bandits-with-budgets-1306.0155"/></url>
<url><loc>https://scifaro.com/en/abs/guided-random-forest-in-the-rrf-package-1306.0237</loc><lastmod>2013-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guided-random-forest-in-the-rrf-package-1306.0237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guided-random-forest-in-the-rrf-package-1306.0237"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-using-linear-support-vector-machines-1306.0239</loc><lastmod>2015-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-using-linear-support-vector-machines-1306.0239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-using-linear-support-vector-machines-1306.0239"/></url>
<url><loc>https://scifaro.com/en/abs/kert-automatic-extraction-and-ranking-of-topical-keyphrases-from-content-representative-document-titles-1306.0271</loc><lastmod>2013-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kert-automatic-extraction-and-ranking-of-topical-keyphrases-from-content-representative-document-titles-1306.0271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kert-automatic-extraction-and-ranking-of-topical-keyphrases-from-content-representative-document-titles-1306.0271"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-networked-examples-in-a-k-partite-graph-1306.0393</loc><lastmod>2017-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-networked-examples-in-a-k-partite-graph-1306.0393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-networked-examples-in-a-k-partite-graph-1306.0393"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-pairs-in-simulated-bio-medical-time-series-1306.0541</loc><lastmod>2013-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-pairs-in-simulated-bio-medical-time-series-1306.0541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-pairs-in-simulated-bio-medical-time-series-1306.0541"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-parameters-in-deep-learning-1306.0543</loc><lastmod>2014-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-parameters-in-deep-learning-1306.0543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-parameters-in-deep-learning-1306.0543"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-k-means-and-k-median-clustering-on-general-topologies-1306.0604</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-k-means-and-k-median-clustering-on-general-topologies-1306.0604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-k-means-and-k-median-clustering-on-general-topologies-1306.0604"/></url>
<url><loc>https://scifaro.com/en/abs/provable-inductive-matrix-completion-1306.0626</loc><lastmod>2013-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-inductive-matrix-completion-1306.0626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-inductive-matrix-completion-1306.0626"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-under-delayed-feedback-1306.0686</loc><lastmod>2015-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-under-delayed-feedback-1306.0686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-under-delayed-feedback-1306.0686"/></url>
<url><loc>https://scifaro.com/en/abs/fast-gradient-based-inference-with-continuous-latent-variable-models-in-auxiliary-form-1306.0733</loc><lastmod>2013-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-gradient-based-inference-with-continuous-latent-variable-models-in-auxiliary-form-1306.0733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-gradient-based-inference-with-continuous-latent-variable-models-in-auxiliary-form-1306.0733"/></url>
<url><loc>https://scifaro.com/en/abs/a-gang-of-bandits-1306.0811</loc><lastmod>2013-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gang-of-bandits-1306.0811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gang-of-bandits-1306.0811"/></url>
<url><loc>https://scifaro.com/en/abs/propto-svm-for-learning-with-label-proportions-1306.0886</loc><lastmod>2013-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/propto-svm-for-learning-with-label-proportions-1306.0886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/propto-svm-for-learning-with-label-proportions-1306.0886"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-stochastic-networks-trainable-by-backprop-1306.1091</loc><lastmod>2014-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-stochastic-networks-trainable-by-backprop-1306.1091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-stochastic-networks-trainable-by-backprop-1306.1091"/></url>
<url><loc>https://scifaro.com/en/abs/verdict-accuracy-of-quick-reduct-algorithm-using-clustering-and-classification-techniques-for-gene-expression-data-1306.1323</loc><lastmod>2013-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/verdict-accuracy-of-quick-reduct-algorithm-using-clustering-and-classification-techniques-for-gene-expression-data-1306.1323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/verdict-accuracy-of-quick-reduct-algorithm-using-clustering-and-classification-techniques-for-gene-expression-data-1306.1323"/></url>
<url><loc>https://scifaro.com/en/abs/performance-analysis-of-unsupervised-feature-selection-methods-1306.1326</loc><lastmod>2013-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-analysis-of-unsupervised-feature-selection-methods-1306.1326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-analysis-of-unsupervised-feature-selection-methods-1306.1326"/></url>
<url><loc>https://scifaro.com/en/abs/tight-lower-bound-on-the-probability-of-a-binomial-exceeding-its-expectation-1306.1433</loc><lastmod>2013-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-lower-bound-on-the-probability-of-a-binomial-exceeding-its-expectation-1306.1433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-lower-bound-on-the-probability-of-a-binomial-exceeding-its-expectation-1306.1433"/></url>
<url><loc>https://scifaro.com/en/abs/policy-search-any-local-optimum-enjoys-a-global-performance-guarantee-1306.1520</loc><lastmod>2013-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-search-any-local-optimum-enjoys-a-global-performance-guarantee-1306.1520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-search-any-local-optimum-enjoys-a-global-performance-guarantee-1306.1520"/></url>
<url><loc>https://scifaro.com/en/abs/fast-greedy-algorithm-for-subspace-clustering-from-corrupted-and-incomplete-data-1306.1716</loc><lastmod>2013-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-greedy-algorithm-for-subspace-clustering-from-corrupted-and-incomplete-data-1306.1716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-greedy-algorithm-for-subspace-clustering-from-corrupted-and-incomplete-data-1306.1716"/></url>
<url><loc>https://scifaro.com/en/abs/loss-proportional-subsampling-for-subsequent-erm-1306.1840</loc><lastmod>2013-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-proportional-subsampling-for-subsequent-erm-1306.1840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-proportional-subsampling-for-subsequent-erm-1306.1840"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-risk-of-readmission-for-congestive-heart-failure-patients-a-multi-layer-approach-1306.2094</loc><lastmod>2013-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-risk-of-readmission-for-congestive-heart-failure-patients-a-multi-layer-approach-1306.2094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-risk-of-readmission-for-congestive-heart-failure-patients-a-multi-layer-approach-1306.2094"/></url>
<url><loc>https://scifaro.com/en/abs/non-strongly-convex-smooth-stochastic-approximation-with-convergence-rate-o-1-n-1306.2119</loc><lastmod>2013-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-strongly-convex-smooth-stochastic-approximation-with-convergence-rate-o-1-n-1306.2119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-strongly-convex-smooth-stochastic-approximation-with-convergence-rate-o-1-n-1306.2119"/></url>
<url><loc>https://scifaro.com/en/abs/auditing-active-learning-with-outcome-dependent-query-costs-1306.2347</loc><lastmod>2015-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auditing-active-learning-with-outcome-dependent-query-costs-1306.2347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auditing-active-learning-with-outcome-dependent-query-costs-1306.2347"/></url>
<url><loc>https://scifaro.com/en/abs/discomax-a-proximity-preserving-distance-correlation-maximization-algorithm-1306.2533</loc><lastmod>2017-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discomax-a-proximity-preserving-distance-correlation-maximization-algorithm-1306.2533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discomax-a-proximity-preserving-distance-correlation-maximization-algorithm-1306.2533"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-classification-for-metric-data-1306.2547</loc><lastmod>2014-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-classification-for-metric-data-1306.2547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-classification-for-metric-data-1306.2547"/></url>
<url><loc>https://scifaro.com/en/abs/concentration-bounds-for-temporal-difference-learning-with-linear-function-approximation-the-case-of-batch-data-and-uniform-sampling-1306.2557</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concentration-bounds-for-temporal-difference-learning-with-linear-function-approximation-the-case-of-batch-data-and-uniform-sampling-1306.2557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concentration-bounds-for-temporal-difference-learning-with-linear-function-approximation-the-case-of-batch-data-and-uniform-sampling-1306.2557"/></url>
<url><loc>https://scifaro.com/en/abs/large-margin-low-rank-tensor-analysis-1306.2663</loc><lastmod>2013-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-margin-low-rank-tensor-analysis-1306.2663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-margin-low-rank-tensor-analysis-1306.2663"/></url>
<url><loc>https://scifaro.com/en/abs/copula-mixed-membership-stochastic-blockmodel-for-intra-subgroup-correlations-1306.2733</loc><lastmod>2013-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copula-mixed-membership-stochastic-blockmodel-for-intra-subgroup-correlations-1306.2733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copula-mixed-membership-stochastic-blockmodel-for-intra-subgroup-correlations-1306.2733"/></url>
<url><loc>https://scifaro.com/en/abs/horizontal-and-vertical-ensemble-with-deep-representation-for-classification-1306.2759</loc><lastmod>2013-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/horizontal-and-vertical-ensemble-with-deep-representation-for-classification-1306.2759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/horizontal-and-vertical-ensemble-with-deep-representation-for-classification-1306.2759"/></url>
<url><loc>https://scifaro.com/en/abs/robust-support-vector-machines-for-speaker-verification-task-1306.2906</loc><lastmod>2013-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-support-vector-machines-for-speaker-verification-task-1306.2906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-support-vector-machines-for-speaker-verification-task-1306.2906"/></url>
<url><loc>https://scifaro.com/en/abs/non-parametric-power-law-data-clustering-1306.3003</loc><lastmod>2013-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-parametric-power-law-data-clustering-1306.3003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-parametric-power-law-data-clustering-1306.3003"/></url>
<url><loc>https://scifaro.com/en/abs/physeter-catodon-localization-by-sparse-coding-1306.3058</loc><lastmod>2013-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physeter-catodon-localization-by-sparse-coding-1306.3058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physeter-catodon-localization-by-sparse-coding-1306.3058"/></url>
<url><loc>https://scifaro.com/en/abs/guaranteed-classification-via-regularized-similarity-learning-1306.3108</loc><lastmod>2013-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guaranteed-classification-via-regularized-similarity-learning-1306.3108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guaranteed-classification-via-regularized-similarity-learning-1306.3108"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-inverse-covariance-matrix-estimation-using-quadratic-approximation-1306.3212</loc><lastmod>2013-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-inverse-covariance-matrix-estimation-using-quadratic-approximation-1306.3212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-inverse-covariance-matrix-estimation-using-quadratic-approximation-1306.3212"/></url>
<url><loc>https://scifaro.com/en/abs/relaxed-sparse-eigenvalue-conditions-for-sparse-estimation-via-non-convex-regularized-regression-1306.3343</loc><lastmod>2014-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relaxed-sparse-eigenvalue-conditions-for-sparse-estimation-via-non-convex-regularized-regression-1306.3343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relaxed-sparse-eigenvalue-conditions-for-sparse-estimation-via-non-convex-regularized-regression-1306.3343"/></url>
<url><loc>https://scifaro.com/en/abs/classifying-single-trial-eeg-during-motor-imagery-with-a-small-training-set-1306.3474</loc><lastmod>2013-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifying-single-trial-eeg-during-motor-imagery-with-a-small-training-set-1306.3474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifying-single-trial-eeg-during-motor-imagery-with-a-small-training-set-1306.3474"/></url>
<url><loc>https://scifaro.com/en/abs/outlying-property-detection-with-numerical-attributes-1306.3558</loc><lastmod>2013-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlying-property-detection-with-numerical-attributes-1306.3558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlying-property-detection-with-numerical-attributes-1306.3558"/></url>
<url><loc>https://scifaro.com/en/abs/online-alternating-direction-method-longer-version-1306.3721</loc><lastmod>2013-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-alternating-direction-method-longer-version-1306.3721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-alternating-direction-method-longer-version-1306.3721"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-experts-for-estimating-mixtures-of-linear-regressions-1306.3729</loc><lastmod>2013-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-experts-for-estimating-mixtures-of-linear-regressions-1306.3729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-experts-for-estimating-mixtures-of-linear-regressions-1306.3729"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-coloring-of-the-self-organizing-map-an-information-visualization-perspective-1306.3860</loc><lastmod>2013-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-coloring-of-the-self-organizing-map-an-information-visualization-perspective-1306.3860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-coloring-of-the-self-organizing-map-an-information-visualization-perspective-1306.3860"/></url>
<url><loc>https://scifaro.com/en/abs/on-line-pca-with-optimal-regrets-1306.3895</loc><lastmod>2014-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-line-pca-with-optimal-regrets-1306.3895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-line-pca-with-optimal-regrets-1306.3895"/></url>
<url><loc>https://scifaro.com/en/abs/stability-of-multi-task-kernel-regression-algorithms-1306.3905</loc><lastmod>2013-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-of-multi-task-kernel-regression-algorithms-1306.3905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-of-multi-task-kernel-regression-algorithms-1306.3905"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-coordinate-descent-newton-method-for-efficient-ell-1-regularized-minimization-1306.4080</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-coordinate-descent-newton-method-for-efficient-ell-1-regularized-minimization-1306.4080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-coordinate-descent-newton-method-for-efficient-ell-1-regularized-minimization-1306.4080"/></url>
<url><loc>https://scifaro.com/en/abs/bioclimating-modelling-a-machine-learning-perspective-1306.4152</loc><lastmod>2013-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bioclimating-modelling-a-machine-learning-perspective-1306.4152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bioclimating-modelling-a-machine-learning-perspective-1306.4152"/></url>
<url><loc>https://scifaro.com/en/abs/table-of-content-detection-using-machine-learning-1306.4631</loc><lastmod>2013-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/table-of-content-detection-using-machine-learning-1306.4631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/table-of-content-detection-using-machine-learning-1306.4631"/></url>
<url><loc>https://scifaro.com/en/abs/a-fuzzy-based-approach-to-text-mining-and-document-clustering-1306.4633</loc><lastmod>2013-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fuzzy-based-approach-to-text-mining-and-document-clustering-1306.4633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fuzzy-based-approach-to-text-mining-and-document-clustering-1306.4633"/></url>
<url><loc>https://scifaro.com/en/abs/multiarmed-bandits-with-limited-expert-advice-1306.4653</loc><lastmod>2013-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiarmed-bandits-with-limited-expert-advice-1306.4653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiarmed-bandits-with-limited-expert-advice-1306.4653"/></url>
<url><loc>https://scifaro.com/en/abs/galerkin-methods-for-complementarity-problems-and-variational-inequalities-1306.4753</loc><lastmod>2013-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/galerkin-methods-for-complementarity-problems-and-variational-inequalities-1306.4753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/galerkin-methods-for-complementarity-problems-and-variational-inequalities-1306.4753"/></url>
<url><loc>https://scifaro.com/en/abs/machine-teaching-for-bayesian-learners-in-the-exponential-family-1306.4947</loc><lastmod>2013-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-teaching-for-bayesian-learners-in-the-exponential-family-1306.4947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-teaching-for-bayesian-learners-in-the-exponential-family-1306.4947"/></url>
<url><loc>https://scifaro.com/en/abs/song-based-classification-techniques-for-endangered-bird-conservation-1306.5349</loc><lastmod>2013-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/song-based-classification-techniques-for-endangered-bird-conservation-1306.5349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/song-based-classification-techniques-for-endangered-bird-conservation-1306.5349"/></url>
<url><loc>https://scifaro.com/en/abs/model-reframing-by-feature-context-change-1306.5487</loc><lastmod>2013-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-reframing-by-feature-context-change-1306.5487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-reframing-by-feature-context-change-1306.5487"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-by-scattering-1306.5532</loc><lastmod>2015-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-by-scattering-1306.5532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-by-scattering-1306.5532"/></url>
<url><loc>https://scifaro.com/en/abs/fourier-pca-and-robust-tensor-decomposition-1306.5825</loc><lastmod>2014-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fourier-pca-and-robust-tensor-decomposition-1306.5825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fourier-pca-and-robust-tensor-decomposition-1306.5825"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-robust-mdps-by-reinforcement-learning-1306.6189</loc><lastmod>2013-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-robust-mdps-by-reinforcement-learning-1306.6189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-robust-mdps-by-reinforcement-learning-1306.6189"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-metric-learning-for-feature-vectors-and-structured-data-1306.6709</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-metric-learning-for-feature-vectors-and-structured-data-1306.6709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-metric-learning-for-feature-vectors-and-structured-data-1306.6709"/></url>
<url><loc>https://scifaro.com/en/abs/concentration-and-confidence-for-discrete-bayesian-sequence-predictors-1307.0127</loc><lastmod>2013-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concentration-and-confidence-for-discrete-bayesian-sequence-predictors-1307.0127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concentration-and-confidence-for-discrete-bayesian-sequence-predictors-1307.0127"/></url>
<url><loc>https://scifaro.com/en/abs/exploratory-learning-1307.0253</loc><lastmod>2013-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploratory-learning-1307.0253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploratory-learning-1307.0253"/></url>
<url><loc>https://scifaro.com/en/abs/websets-extracting-sets-of-entities-from-the-web-using-unsupervised-information-extraction-1307.0261</loc><lastmod>2013-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/websets-extracting-sets-of-entities-from-the-web-using-unsupervised-information-extraction-1307.0261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/websets-extracting-sets-of-entities-from-the-web-using-unsupervised-information-extraction-1307.0261"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-of-the-lda-model-report-1307.0317</loc><lastmod>2013-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-of-the-lda-model-report-1307.0317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-of-the-lda-model-report-1307.0317"/></url>
<url><loc>https://scifaro.com/en/abs/the-orchive-data-mining-a-massive-bioacoustic-archive-1307.0589</loc><lastmod>2013-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-orchive-data-mining-a-massive-bioacoustic-archive-1307.0589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-orchive-data-mining-a-massive-bioacoustic-archive-1307.0589"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-online-big-data-classification-using-context-information-1307.0781</loc><lastmod>2013-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-online-big-data-classification-using-context-information-1307.0781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-online-big-data-classification-using-context-information-1307.0781"/></url>
<url><loc>https://scifaro.com/en/abs/data-fusion-by-matrix-factorization-1307.0803</loc><lastmod>2015-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-fusion-by-matrix-factorization-1307.0803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-fusion-by-matrix-factorization-1307.0803"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-model-selection-for-gaussian-mixture-model-in-a-bayesian-framework-1307.0995</loc><lastmod>2013-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-model-selection-for-gaussian-mixture-model-in-a-bayesian-framework-1307.0995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-model-selection-for-gaussian-mixture-model-in-a-bayesian-framework-1307.0995"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-hierarchical-image-tags-bimodal-representations-for-word-tags-alternative-choice-1307.1275</loc><lastmod>2013-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-hierarchical-image-tags-bimodal-representations-for-word-tags-alternative-choice-1307.1275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-hierarchical-image-tags-bimodal-representations-for-word-tags-alternative-choice-1307.1275"/></url>
<url><loc>https://scifaro.com/en/abs/examining-the-classification-accuracy-of-tsvms-with-feature-selection-in-comparison-with-the-glad-algorithm-1307.1387</loc><lastmod>2013-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/examining-the-classification-accuracy-of-tsvms-with-feature-selection-in-comparison-with-the-glad-algorithm-1307.1387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/examining-the-classification-accuracy-of-tsvms-with-feature-selection-in-comparison-with-the-glad-algorithm-1307.1387"/></url>
<url><loc>https://scifaro.com/en/abs/quiet-in-class-classification-noise-and-the-dendritic-cell-algorithm-1307.1391</loc><lastmod>2013-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quiet-in-class-classification-noise-and-the-dendritic-cell-algorithm-1307.1391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quiet-in-class-classification-noise-and-the-dendritic-cell-algorithm-1307.1391"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-sequential-patterns-in-a-uk-general-practice-database-1307.1411</loc><lastmod>2013-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-sequential-patterns-in-a-uk-general-practice-database-1307.1411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-sequential-patterns-in-a-uk-general-practice-database-1307.1411"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-data-mining-algorithms-developed-for-longitudinal-observational-databases-1307.1584</loc><lastmod>2013-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-data-mining-algorithms-developed-for-longitudinal-observational-databases-1307.1584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-data-mining-algorithms-developed-for-longitudinal-observational-databases-1307.1584"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-learning-and-anti-learning-of-colorectal-cancer-classes-and-survival-rates-from-cellular-biology-parameters-1307.1599</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-learning-and-anti-learning-of-colorectal-cancer-classes-and-survival-rates-from-cellular-biology-parameters-1307.1599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-learning-and-anti-learning-of-colorectal-cancer-classes-and-survival-rates-from-cellular-biology-parameters-1307.1599"/></url>
<url><loc>https://scifaro.com/en/abs/biomarker-clustering-of-colorectal-cancer-data-to-complement-clinical-classification-1307.1601</loc><lastmod>2013-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biomarker-clustering-of-colorectal-cancer-data-to-complement-clinical-classification-1307.1601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biomarker-clustering-of-colorectal-cancer-data-to-complement-clinical-classification-1307.1601"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-dynamic-programming-using-fluid-and-diffusion-approximations-with-applications-to-power-management-1307.1759</loc><lastmod>2016-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-dynamic-programming-using-fluid-and-diffusion-approximations-with-applications-to-power-management-1307.1759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-dynamic-programming-using-fluid-and-diffusion-approximations-with-applications-to-power-management-1307.1759"/></url>
<url><loc>https://scifaro.com/en/abs/loss-minimization-and-parameter-estimation-with-heavy-tails-1307.1827</loc><lastmod>2016-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-minimization-and-parameter-estimation-with-heavy-tails-1307.1827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-minimization-and-parameter-estimation-with-heavy-tails-1307.1827"/></url>
<url><loc>https://scifaro.com/en/abs/b-tests-low-variance-kernel-two-sample-tests-1307.1954</loc><lastmod>2014-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/b-tests-low-variance-kernel-two-sample-tests-1307.1954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/b-tests-low-variance-kernel-two-sample-tests-1307.1954"/></url>
<url><loc>https://scifaro.com/en/abs/using-clustering-to-extract-personality-information-from-socio-economic-data-1307.1998</loc><lastmod>2013-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-clustering-to-extract-personality-information-from-socio-economic-data-1307.1998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-clustering-to-extract-personality-information-from-socio-economic-data-1307.1998"/></url>
<url><loc>https://scifaro.com/en/abs/finding-the-creatures-of-habit-clustering-households-based-on-their-flexibility-in-using-electricity-1307.2111</loc><lastmod>2013-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-the-creatures-of-habit-clustering-households-based-on-their-flexibility-in-using-electricity-1307.2111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-the-creatures-of-habit-clustering-households-based-on-their-flexibility-in-using-electricity-1307.2111"/></url>
<url><loc>https://scifaro.com/en/abs/a-pac-bayesian-tutorial-with-a-dropout-bound-1307.2118</loc><lastmod>2013-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pac-bayesian-tutorial-with-a-dropout-bound-1307.2118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pac-bayesian-tutorial-with-a-dropout-bound-1307.2118"/></url>
<url><loc>https://scifaro.com/en/abs/tuned-models-of-peer-assessment-in-moocs-1307.2579</loc><lastmod>2013-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tuned-models-of-peer-assessment-in-moocs-1307.2579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tuned-models-of-peer-assessment-in-moocs-1307.2579"/></url>
<url><loc>https://scifaro.com/en/abs/accuracy-of-map-segmentation-with-hidden-potts-and-markov-mesh-prior-models-via-path-constrained-viterbi-training-iterated-conditional-modes-and-graph-cut-based-algorithms-1307.2971</loc><lastmod>2013-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accuracy-of-map-segmentation-with-hidden-potts-and-markov-mesh-prior-models-via-path-constrained-viterbi-training-iterated-conditional-modes-and-graph-cut-based-algorithms-1307.2971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accuracy-of-map-segmentation-with-hidden-potts-and-markov-mesh-prior-models-via-path-constrained-viterbi-training-iterated-conditional-modes-and-graph-cut-based-algorithms-1307.2971"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-active-learning-algorithms-for-noise-tolerance-and-differential-privacy-1307.3102</loc><lastmod>2014-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-active-learning-algorithms-for-noise-tolerance-and-differential-privacy-1307.3102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-active-learning-algorithms-for-noise-tolerance-and-differential-privacy-1307.3102"/></url>
<url><loc>https://scifaro.com/en/abs/fast-gradient-descent-for-drifting-least-squares-regression-with-application-to-bandits-1307.3176</loc><lastmod>2014-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-gradient-descent-for-drifting-least-squares-regression-with-application-to-bandits-1307.3176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-gradient-descent-for-drifting-least-squares-regression-with-application-to-bandits-1307.3176"/></url>
<url><loc>https://scifaro.com/en/abs/energy-aware-adaptive-bi-lipschitz-embeddings-1307.3457</loc><lastmod>2013-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-aware-adaptive-bi-lipschitz-embeddings-1307.3457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-aware-adaptive-bi-lipschitz-embeddings-1307.3457"/></url>
<url><loc>https://scifaro.com/en/abs/mcmc-learning-1307.3617</loc><lastmod>2015-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcmc-learning-1307.3617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcmc-learning-1307.3617"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-management-approach-for-dataset-selection-using-human-computation-1307.3673</loc><lastmod>2013-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-management-approach-for-dataset-selection-using-human-computation-1307.3673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-management-approach-for-dataset-selection-using-human-computation-1307.3673"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-error-rate-training-and-the-convex-hull-semiring-1307.3675</loc><lastmod>2013-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-error-rate-training-and-the-convex-hull-semiring-1307.3675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-error-rate-training-and-the-convex-hull-semiring-1307.3675"/></url>
<url><loc>https://scifaro.com/en/abs/on-soft-power-diagrams-1307.3949</loc><lastmod>2014-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-soft-power-diagrams-1307.3949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-soft-power-diagrams-1307.3949"/></url>
<url><loc>https://scifaro.com/en/abs/modified-splice-and-its-extension-to-non-stereo-data-for-noise-robust-speech-recognition-1307.4048</loc><lastmod>2014-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modified-splice-and-its-extension-to-non-stereo-data-for-noise-robust-speech-recognition-1307.4048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modified-splice-and-its-extension-to-non-stereo-data-for-noise-robust-speech-recognition-1307.4048"/></url>
<url><loc>https://scifaro.com/en/abs/a-safe-screening-rule-for-sparse-logistic-regression-1307.4145</loc><lastmod>2013-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-safe-screening-rule-for-sparse-logistic-regression-1307.4145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-safe-screening-rule-for-sparse-logistic-regression-1307.4145"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-mixed-norm-regularization-algorithms-and-safe-screening-methods-1307.4156</loc><lastmod>2013-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-mixed-norm-regularization-algorithms-and-safe-screening-methods-1307.4156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-mixed-norm-regularization-algorithms-and-safe-screening-methods-1307.4156"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-metric-learning-with-generalization-guarantees-1307.4514</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-metric-learning-with-generalization-guarantees-1307.4514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-metric-learning-with-generalization-guarantees-1307.4514"/></url>
<url><loc>https://scifaro.com/en/abs/from-bandits-to-experts-a-tale-of-domination-and-independence-1307.4564</loc><lastmod>2013-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-bandits-to-experts-a-tale-of-domination-and-independence-1307.4564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-bandits-to-experts-a-tale-of-domination-and-independence-1307.4564"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-convex-relaxation-for-tensor-completion-1307.4653</loc><lastmod>2013-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-convex-relaxation-for-tensor-completion-1307.4653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-convex-relaxation-for-tensor-completion-1307.4653"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-reinforcement-learning-in-deterministic-systems-with-value-function-generalization-1307.4847</loc><lastmod>2016-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-reinforcement-learning-in-deterministic-systems-with-value-function-generalization-1307.4847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-reinforcement-learning-in-deterministic-systems-with-value-function-generalization-1307.4847"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-multi-label-learning-with-missing-labels-1307.5101</loc><lastmod>2013-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-multi-label-learning-with-missing-labels-1307.5101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-multi-label-learning-with-missing-labels-1307.5101"/></url>
<url><loc>https://scifaro.com/en/abs/towards-distribution-free-multi-armed-bandits-with-combinatorial-strategies-1307.5438</loc><lastmod>2014-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-distribution-free-multi-armed-bandits-with-combinatorial-strategies-1307.5438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-distribution-free-multi-armed-bandits-with-combinatorial-strategies-1307.5438"/></url>
<url><loc>https://scifaro.com/en/abs/a-scalable-stage-wise-approach-to-large-margin-multi-class-loss-based-boosting-1307.5497</loc><lastmod>2013-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scalable-stage-wise-approach-to-large-margin-multi-class-loss-based-boosting-1307.5497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scalable-stage-wise-approach-to-large-margin-multi-class-loss-based-boosting-1307.5497"/></url>
<url><loc>https://scifaro.com/en/abs/performance-comparison-of-state-of-the-art-missing-value-imputation-algorithms-on-some-bench-mark-datasets-1307.5599</loc><lastmod>2013-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-comparison-of-state-of-the-art-missing-value-imputation-algorithms-on-some-bench-mark-datasets-1307.5599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-comparison-of-state-of-the-art-missing-value-imputation-algorithms-on-some-bench-mark-datasets-1307.5599"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-strategy-of-cost-free-learning-in-the-class-imbalance-problem-1307.5730</loc><lastmod>2013-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-strategy-of-cost-free-learning-in-the-class-imbalance-problem-1307.5730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-strategy-of-cost-free-learning-in-the-class-imbalance-problem-1307.5730"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-human-decision-making-in-generalized-gaussian-multi-armed-bandits-1307.6134</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-human-decision-making-in-generalized-gaussian-multi-armed-bandits-1307.6134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-human-decision-making-in-generalized-gaussian-multi-armed-bandits-1307.6134"/></url>
<url><loc>https://scifaro.com/en/abs/does-generalization-performance-of-l-q-regularization-learning-depend-on-q-a-negative-example-1307.6616</loc><lastmod>2023-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-generalization-performance-of-l-q-regularization-learning-depend-on-q-a-negative-example-1307.6616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-generalization-performance-of-l-q-regularization-learning-depend-on-q-a-negative-example-1307.6616"/></url>
<url><loc>https://scifaro.com/en/abs/a-propound-method-for-the-improvement-of-cluster-quality-1307.6814</loc><lastmod>2013-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-propound-method-for-the-improvement-of-cluster-quality-1307.6814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-propound-method-for-the-improvement-of-cluster-quality-1307.6814"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-laplacian-support-vector-machines-1307.7024</loc><lastmod>2013-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-laplacian-support-vector-machines-1307.7024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-laplacian-support-vector-machines-1307.7024"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-mixtures-of-multivariate-gaussian-processes-1307.7028</loc><lastmod>2013-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-mixtures-of-multivariate-gaussian-processes-1307.7028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-mixtures-of-multivariate-gaussian-processes-1307.7028"/></url>
<url><loc>https://scifaro.com/en/abs/a-comprehensive-evaluation-of-machine-learning-techniques-for-cancer-class-prediction-based-on-microarray-data-1307.7050</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comprehensive-evaluation-of-machine-learning-techniques-for-cancer-class-prediction-based-on-microarray-data-1307.7050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comprehensive-evaluation-of-machine-learning-techniques-for-cancer-class-prediction-based-on-microarray-data-1307.7050"/></url>
<url><loc>https://scifaro.com/en/abs/mixedgrad-an-o-1-t-convergence-rate-algorithm-for-stochastic-smooth-optimization-1307.7192</loc><lastmod>2013-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixedgrad-an-o-1-t-convergence-rate-algorithm-for-stochastic-smooth-optimization-1307.7192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixedgrad-an-o-1-t-convergence-rate-algorithm-for-stochastic-smooth-optimization-1307.7192"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-machine-learning-based-anomaly-detection-techniques-1307.7286</loc><lastmod>2013-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-machine-learning-based-anomaly-detection-techniques-1307.7286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-machine-learning-based-anomaly-detection-techniques-1307.7286"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-understand-by-evolving-theories-1307.7303</loc><lastmod>2013-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-understand-by-evolving-theories-1307.7303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-understand-by-evolving-theories-1307.7303"/></url>
<url><loc>https://scifaro.com/en/abs/safe-screening-with-variational-inequalities-and-its-application-to-lasso-1307.7577</loc><lastmod>2014-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-screening-with-variational-inequalities-and-its-application-to-lasso-1307.7577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-screening-with-variational-inequalities-and-its-application-to-lasso-1307.7577"/></url>
<url><loc>https://scifaro.com/en/abs/multi-dimensional-parametric-mincuts-for-constrained-map-inference-1307.7793</loc><lastmod>2013-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-dimensional-parametric-mincuts-for-constrained-map-inference-1307.7793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-dimensional-parametric-mincuts-for-constrained-map-inference-1307.7793"/></url>
<url><loc>https://scifaro.com/en/abs/sharp-threshold-for-multivariate-multi-response-linear-regression-via-block-regularized-lasso-1307.7993</loc><lastmod>2013-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharp-threshold-for-multivariate-multi-response-linear-regression-via-block-regularized-lasso-1307.7993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharp-threshold-for-multivariate-multi-response-linear-regression-via-block-regularized-lasso-1307.7993"/></url>
<url><loc>https://scifaro.com/en/abs/optimistic-concurrency-control-for-distributed-unsupervised-learning-1307.8049</loc><lastmod>2013-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimistic-concurrency-control-for-distributed-unsupervised-learning-1307.8049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimistic-concurrency-control-for-distributed-unsupervised-learning-1307.8049"/></url>
<url><loc>https://scifaro.com/en/abs/towards-minimax-online-learning-with-unknown-time-horizon-1307.8187</loc><lastmod>2013-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-minimax-online-learning-with-unknown-time-horizon-1307.8187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-minimax-online-learning-with-unknown-time-horizon-1307.8187"/></url>
<url><loc>https://scifaro.com/en/abs/the-planning-ahead-smo-algorithm-1307.8305</loc><lastmod>2013-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-planning-ahead-smo-algorithm-1307.8305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-planning-ahead-smo-algorithm-1307.8305"/></url>
<url><loc>https://scifaro.com/en/abs/the-power-of-localization-for-efficiently-learning-linear-separators-with-noise-1307.8371</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-power-of-localization-for-efficiently-learning-linear-separators-with-noise-1307.8371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-power-of-localization-for-efficiently-learning-linear-separators-with-noise-1307.8371"/></url>
<url><loc>https://scifaro.com/en/abs/fast-simultaneous-training-of-generalized-linear-models-fastglz-1307.8430</loc><lastmod>2013-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-simultaneous-training-of-generalized-linear-models-fastglz-1307.8430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-simultaneous-training-of-generalized-linear-models-fastglz-1307.8430"/></url>
<url><loc>https://scifaro.com/en/abs/using-incomplete-information-for-complete-weight-annotation-of-road-networks-extended-version-1308.0484</loc><lastmod>2013-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-incomplete-information-for-complete-weight-annotation-of-road-networks-extended-version-1308.0484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-incomplete-information-for-complete-weight-annotation-of-road-networks-extended-version-1308.0484"/></url>
<url><loc>https://scifaro.com/en/abs/sign-stable-projections-sign-cauchy-projections-and-chi-square-kernels-1308.1009</loc><lastmod>2013-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sign-stable-projections-sign-cauchy-projections-and-chi-square-kernels-1308.1009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sign-stable-projections-sign-cauchy-projections-and-chi-square-kernels-1308.1009"/></url>
<url><loc>https://scifaro.com/en/abs/off-set-one-pass-factorization-of-feature-sets-for-online-recommendation-in-persistent-cold-start-settings-1308.1792</loc><lastmod>2013-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-set-one-pass-factorization-of-feature-sets-for-online-recommendation-in-persistent-cold-start-settings-1308.1792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-set-one-pass-factorization-of-feature-sets-for-online-recommendation-in-persistent-cold-start-settings-1308.1792"/></url>
<url><loc>https://scifaro.com/en/abs/coding-for-random-projections-1308.2218</loc><lastmod>2013-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coding-for-random-projections-1308.2218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coding-for-random-projections-1308.2218"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-regression-with-gaussian-mixtures-and-partially-latent-response-variables-1308.2302</loc><lastmod>2015-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-regression-with-gaussian-mixtures-and-partially-latent-response-variables-1308.2302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-regression-with-gaussian-mixtures-and-partially-latent-response-variables-1308.2302"/></url>
<url><loc>https://scifaro.com/en/abs/kl-based-control-of-the-learning-schedule-for-surrogate-black-box-optimization-1308.2655</loc><lastmod>2013-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kl-based-control-of-the-learning-schedule-for-surrogate-black-box-optimization-1308.2655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kl-based-control-of-the-learning-schedule-for-surrogate-black-box-optimization-1308.2655"/></url>
<url><loc>https://scifaro.com/en/abs/when-are-overcomplete-topic-models-identifiable-uniqueness-of-tensor-tucker-decompositions-with-structured-sparsity-1308.2853</loc><lastmod>2013-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-are-overcomplete-topic-models-identifiable-uniqueness-of-tensor-tucker-decompositions-with-structured-sparsity-1308.2853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-are-overcomplete-topic-models-identifiable-uniqueness-of-tensor-tucker-decompositions-with-structured-sparsity-1308.2853"/></url>
<url><loc>https://scifaro.com/en/abs/multiclass-learnability-and-the-erm-principle-1308.2893</loc><lastmod>2016-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiclass-learnability-and-the-erm-principle-1308.2893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiclass-learnability-and-the-erm-principle-1308.2893"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-or-propagating-gradients-through-stochastic-neurons-for-conditional-computation-1308.3432</loc><lastmod>2013-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-or-propagating-gradients-through-stochastic-neurons-for-conditional-computation-1308.3432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-or-propagating-gradients-through-stochastic-neurons-for-conditional-computation-1308.3432"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-optimization-for-machine-learning-1308.3509</loc><lastmod>2013-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-optimization-for-machine-learning-1308.3509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-optimization-for-machine-learning-1308.3509"/></url>
<url><loc>https://scifaro.com/en/abs/hidden-parameter-markov-decision-processes-a-semiparametric-regression-approach-for-discovering-latent-task-parametrizations-1308.3513</loc><lastmod>2013-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hidden-parameter-markov-decision-processes-a-semiparametric-regression-approach-for-discovering-latent-task-parametrizations-1308.3513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hidden-parameter-markov-decision-processes-a-semiparametric-regression-approach-for-discovering-latent-task-parametrizations-1308.3513"/></url>
<url><loc>https://scifaro.com/en/abs/knapsack-constrained-contextual-submodular-list-prediction-with-application-to-multi-document-summarization-1308.3541</loc><lastmod>2014-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knapsack-constrained-contextual-submodular-list-prediction-with-application-to-multi-document-summarization-1308.3541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knapsack-constrained-contextual-submodular-list-prediction-with-application-to-multi-document-summarization-1308.3541"/></url>
<url><loc>https://scifaro.com/en/abs/fast-stochastic-alternating-direction-method-of-multipliers-1308.3558</loc><lastmod>2013-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-stochastic-alternating-direction-method-of-multipliers-1308.3558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-stochastic-alternating-direction-method-of-multipliers-1308.3558"/></url>
<url><loc>https://scifaro.com/en/abs/comment-on-robustness-and-regularization-of-support-vector-machines-by-h-xu-et-al-journal-of-machine-learning-research-vol-10-pp-1485-1510-2009-arxiv-0803-3490-1308.3750</loc><lastmod>2013-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comment-on-robustness-and-regularization-of-support-vector-machines-by-h-xu-et-al-journal-of-machine-learning-research-vol-10-pp-1485-1510-2009-arxiv-0803-3490-1308.3750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comment-on-robustness-and-regularization-of-support-vector-machines-by-h-xu-et-al-journal-of-machine-learning-research-vol-10-pp-1485-1510-2009-arxiv-0803-3490-1308.3750"/></url>
<url><loc>https://scifaro.com/en/abs/reference-distance-estimator-1308.3818</loc><lastmod>2013-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reference-distance-estimator-1308.3818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reference-distance-estimator-1308.3818"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-online-big-data-classification-a-bandit-framework-1308.4565</loc><lastmod>2013-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-online-big-data-classification-a-bandit-framework-1308.4565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-online-big-data-classification-a-bandit-framework-1308.4565"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-online-learning-via-cooperative-contextual-bandits-1308.4568</loc><lastmod>2015-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-online-learning-via-cooperative-contextual-bandits-1308.4568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-online-learning-via-cooperative-contextual-bandits-1308.4568"/></url>
<url><loc>https://scifaro.com/en/abs/the-sample-complexity-of-general-reinforcement-learning-1308.4828</loc><lastmod>2013-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-sample-complexity-of-general-reinforcement-learning-1308.4828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-sample-complexity-of-general-reinforcement-learning-1308.4828"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-representation-without-parameter-inference-for-nonlinear-dimensionality-reduction-1308.4922</loc><lastmod>2014-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-representation-without-parameter-inference-for-nonlinear-dimensionality-reduction-1308.4922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-representation-without-parameter-inference-for-nonlinear-dimensionality-reduction-1308.4922"/></url>
<url><loc>https://scifaro.com/en/abs/the-lovasz-bregman-divergence-and-connections-to-rank-aggregation-clustering-and-web-ranking-1308.5275</loc><lastmod>2013-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-lovasz-bregman-divergence-and-connections-to-rank-aggregation-clustering-and-web-ranking-1308.5275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-lovasz-bregman-divergence-and-connections-to-rank-aggregation-clustering-and-web-ranking-1308.5275"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-of-distributed-learners-for-online-classification-of-dynamic-data-streams-1308.5281</loc><lastmod>2013-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-of-distributed-learners-for-online-classification-of-dynamic-data-streams-1308.5281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-of-distributed-learners-for-online-classification-of-dynamic-data-streams-1308.5281"/></url>
<url><loc>https://scifaro.com/en/abs/a-stochastic-hybrid-model-of-a-biological-filter-1308.5338</loc><lastmod>2013-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stochastic-hybrid-model-of-a-biological-filter-1308.5338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stochastic-hybrid-model-of-a-biological-filter-1308.5338"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-conditional-gaussian-network-classifiers-with-applications-to-mass-spectra-classification-1308.6181</loc><lastmod>2013-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-conditional-gaussian-network-classifiers-with-applications-to-mass-spectra-classification-1308.6181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-conditional-gaussian-network-classifiers-with-applications-to-mass-spectra-classification-1308.6181"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-breast-cancer-recurrence-using-classification-restricted-boltzmann-machine-with-dropping-1308.6324</loc><lastmod>2013-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-breast-cancer-recurrence-using-classification-restricted-boltzmann-machine-with-dropping-1308.6324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-breast-cancer-recurrence-using-classification-restricted-boltzmann-machine-with-dropping-1308.6324"/></url>
<url><loc>https://scifaro.com/en/abs/online-ranking-discrete-choice-spearman-correlation-and-other-feedback-1308.6797</loc><lastmod>2013-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-ranking-discrete-choice-spearman-correlation-and-other-feedback-1308.6797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-ranking-discrete-choice-spearman-correlation-and-other-feedback-1308.6797"/></url>
<url><loc>https://scifaro.com/en/abs/api-design-for-machine-learning-software-experiences-from-the-scikit-learn-project-1309.0238</loc><lastmod>2013-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/api-design-for-machine-learning-software-experiences-from-the-scikit-learn-project-1309.0238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/api-design-for-machine-learning-software-experiences-from-the-scikit-learn-project-1309.0238"/></url>
<url><loc>https://scifaro.com/en/abs/relative-comparison-kernel-learning-with-auxiliary-kernels-1309.0489</loc><lastmod>2014-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-comparison-kernel-learning-with-auxiliary-kernels-1309.0489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-comparison-kernel-learning-with-auxiliary-kernels-1309.0489"/></url>
<url><loc>https://scifaro.com/en/abs/online-tensor-methods-for-learning-latent-variable-models-1309.0787</loc><lastmod>2015-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-tensor-methods-for-learning-latent-variable-models-1309.0787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-tensor-methods-for-learning-latent-variable-models-1309.0787"/></url>
<url><loc>https://scifaro.com/en/abs/improvements-to-deep-convolutional-neural-networks-for-lvcsr-1309.1501</loc><lastmod>2013-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improvements-to-deep-convolutional-neural-networks-for-lvcsr-1309.1501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improvements-to-deep-convolutional-neural-networks-for-lvcsr-1309.1501"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-hessian-free-optimization-for-deep-neural-networks-by-implicit-preconditioning-and-sampling-1309.1508</loc><lastmod>2013-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-hessian-free-optimization-for-deep-neural-networks-by-implicit-preconditioning-and-sampling-1309.1508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-hessian-free-optimization-for-deep-neural-networks-by-implicit-preconditioning-and-sampling-1309.1508"/></url>
<url><loc>https://scifaro.com/en/abs/projection-onto-the-probability-simplex-an-efficient-algorithm-with-a-simple-proof-and-an-application-1309.1541</loc><lastmod>2013-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projection-onto-the-probability-simplex-an-efficient-algorithm-with-a-simple-proof-and-an-application-1309.1541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projection-onto-the-probability-simplex-an-efficient-algorithm-with-a-simple-proof-and-an-application-1309.1541"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparism-of-the-performance-of-supervised-and-unsupervised-machine-learning-techniques-in-evolving-awale-mancala-ayo-game-player-1309.1543</loc><lastmod>2013-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparism-of-the-performance-of-supervised-and-unsupervised-machine-learning-techniques-in-evolving-awale-mancala-ayo-game-player-1309.1543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparism-of-the-performance-of-supervised-and-unsupervised-machine-learning-techniques-in-evolving-awale-mancala-ayo-game-player-1309.1543"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-nearest-neighbor-pattern-classification-with-selective-sampling-1309.1761</loc><lastmod>2013-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-nearest-neighbor-pattern-classification-with-selective-sampling-1309.1761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-nearest-neighbor-pattern-classification-with-selective-sampling-1309.1761"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-two-step-approach-to-learning-based-hashing-1309.1853</loc><lastmod>2013-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-two-step-approach-to-learning-based-hashing-1309.1853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-two-step-approach-to-learning-based-hashing-1309.1853"/></url>
<url><loc>https://scifaro.com/en/abs/structure-learning-of-probabilistic-logic-programs-by-searching-the-clause-space-1309.2080</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-learning-of-probabilistic-logic-programs-by-searching-the-clause-space-1309.2080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-learning-of-probabilistic-logic-programs-by-searching-the-clause-space-1309.2080"/></url>
<url><loc>https://scifaro.com/en/abs/exponentially-fast-parameter-estimation-in-networks-using-distributed-dual-averaging-1309.2350</loc><lastmod>2013-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponentially-fast-parameter-estimation-in-networks-using-distributed-dual-averaging-1309.2350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponentially-fast-parameter-estimation-in-networks-using-distributed-dual-averaging-1309.2350"/></url>
<url><loc>https://scifaro.com/en/abs/maximizing-submodular-functions-using-probabilistic-graphical-models-1309.2593</loc><lastmod>2013-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximizing-submodular-functions-using-probabilistic-graphical-models-1309.2593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximizing-submodular-functions-using-probabilistic-graphical-models-1309.2593"/></url>
<url><loc>https://scifaro.com/en/abs/enhancements-of-multi-class-support-vector-machine-construction-from-binary-learners-using-generalization-performance-1309.2765</loc><lastmod>2013-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancements-of-multi-class-support-vector-machine-construction-from-binary-learners-using-generalization-performance-1309.2765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancements-of-multi-class-support-vector-machine-construction-from-binary-learners-using-generalization-performance-1309.2765"/></url>
<url><loc>https://scifaro.com/en/abs/convex-relaxations-of-structured-matrix-factorizations-1309.3117</loc><lastmod>2013-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-relaxations-of-structured-matrix-factorizations-1309.3117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-relaxations-of-structured-matrix-factorizations-1309.3117"/></url>
<url><loc>https://scifaro.com/en/abs/group-learning-and-opinion-diffusion-in-a-broadcast-network-1309.3697</loc><lastmod>2013-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-learning-and-opinion-diffusion-in-a-broadcast-network-1309.3697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-learning-and-opinion-diffusion-in-a-broadcast-network-1309.3697"/></url>
<url><loc>https://scifaro.com/en/abs/a-metric-learning-based-framework-for-support-vector-machines-and-multiple-kernel-learning-1309.3877</loc><lastmod>2013-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-metric-learning-based-framework-for-support-vector-machines-and-multiple-kernel-learning-1309.3877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-metric-learning-based-framework-for-support-vector-machines-and-multiple-kernel-learning-1309.3877"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-loopy-model-for-semantic-segmentation-exactly-1309.4061</loc><lastmod>2013-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-loopy-model-for-semantic-segmentation-exactly-1309.4061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-loopy-model-for-semantic-segmentation-exactly-1309.4061"/></url>
<url><loc>https://scifaro.com/en/abs/attribute-efficient-evolvability-of-linear-functions-1309.4132</loc><lastmod>2014-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attribute-efficient-evolvability-of-linear-functions-1309.4132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attribute-efficient-evolvability-of-linear-functions-1309.4132"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-rules-and-stochastic-models-for-high-accuracy-prediction-of-solar-radiation-1309.4999</loc><lastmod>2013-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-rules-and-stochastic-models-for-high-accuracy-prediction-of-solar-radiation-1309.4999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-rules-and-stochastic-models-for-high-accuracy-prediction-of-solar-radiation-1309.4999"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-analysis-of-ensemble-classifiers-case-studies-in-genomics-1309.5047</loc><lastmod>2013-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-analysis-of-ensemble-classifiers-case-studies-in-genomics-1309.5047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-analysis-of-ensemble-classifiers-case-studies-in-genomics-1309.5047"/></url>
<url><loc>https://scifaro.com/en/abs/latent-fisher-discriminant-analysis-1309.5427</loc><lastmod>2013-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-fisher-discriminant-analysis-1309.5427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-fisher-discriminant-analysis-1309.5427"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-bound-majorization-1309.5605</loc><lastmod>2013-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-bound-majorization-1309.5605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-bound-majorization-1309.5605"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-anomaly-detection-in-large-homogenous-populations-1309.5803</loc><lastmod>2013-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-anomaly-detection-in-large-homogenous-populations-1309.5803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-anomaly-detection-in-large-homogenous-populations-1309.5803"/></url>
<url><loc>https://scifaro.com/en/abs/a-kernel-classification-framework-for-metric-learning-1309.5823</loc><lastmod>2013-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kernel-classification-framework-for-metric-learning-1309.5823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kernel-classification-framework-for-metric-learning-1309.5823"/></url>
<url><loc>https://scifaro.com/en/abs/fenchel-duals-for-drifting-adversaries-1309.5904</loc><lastmod>2013-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fenchel-duals-for-drifting-adversaries-1309.5904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fenchel-duals-for-drifting-adversaries-1309.5904"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-representation-based-subspace-clustering-of-out-of-sample-and-large-scale-data-1309.6487</loc><lastmod>2017-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-representation-based-subspace-clustering-of-out-of-sample-and-large-scale-data-1309.6487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-representation-based-subspace-clustering-of-out-of-sample-and-large-scale-data-1309.6487"/></url>
<url><loc>https://scifaro.com/en/abs/generative-multiple-instance-learning-models-for-quantitative-electromyography-1309.6811</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-multiple-instance-learning-models-for-quantitative-electromyography-1309.6811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-multiple-instance-learning-models-for-quantitative-electromyography-1309.6811"/></url>
<url><loc>https://scifaro.com/en/abs/the-bregman-variational-dual-tree-framework-1309.6812</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-bregman-variational-dual-tree-framework-1309.6812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-bregman-variational-dual-tree-framework-1309.6812"/></url>
<url><loc>https://scifaro.com/en/abs/hinge-loss-markov-random-fields-convex-inference-for-structured-prediction-1309.6813</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hinge-loss-markov-random-fields-convex-inference-for-structured-prediction-1309.6813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hinge-loss-markov-random-fields-convex-inference-for-structured-prediction-1309.6813"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-joint-sparsity-random-effects-model-for-multi-task-learning-1309.6814</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-joint-sparsity-random-effects-model-for-multi-task-learning-1309.6814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-joint-sparsity-random-effects-model-for-multi-task-learning-1309.6814"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-in-the-presence-of-label-noise-1309.6818</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-in-the-presence-of-label-noise-1309.6818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-in-the-presence-of-label-noise-1309.6818"/></url>
<url><loc>https://scifaro.com/en/abs/hilbert-space-embeddings-of-predictive-state-representations-1309.6819</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hilbert-space-embeddings-of-predictive-state-representations-1309.6819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hilbert-space-embeddings-of-predictive-state-representations-1309.6819"/></url>
<url><loc>https://scifaro.com/en/abs/sparsityboost-a-new-scoring-function-for-learning-bayesian-network-structure-1309.6820</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsityboost-a-new-scoring-function-for-learning-bayesian-network-structure-1309.6820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsityboost-a-new-scoring-function-for-learning-bayesian-network-structure-1309.6820"/></url>
<url><loc>https://scifaro.com/en/abs/sample-complexity-of-multi-task-reinforcement-learning-1309.6821</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-complexity-of-multi-task-reinforcement-learning-1309.6821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-complexity-of-multi-task-reinforcement-learning-1309.6821"/></url>
<url><loc>https://scifaro.com/en/abs/convex-relaxations-of-bregman-divergence-clustering-1309.6823</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-relaxations-of-bregman-divergence-clustering-1309.6823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-relaxations-of-bregman-divergence-clustering-1309.6823"/></url>
<url><loc>https://scifaro.com/en/abs/building-bridges-viewing-active-learning-from-the-multi-armed-bandit-lens-1309.6830</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-bridges-viewing-active-learning-from-the-multi-armed-bandit-lens-1309.6830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-bridges-viewing-active-learning-from-the-multi-armed-bandit-lens-1309.6830"/></url>
<url><loc>https://scifaro.com/en/abs/batch-ifdd-for-representation-expansion-in-large-mdps-1309.6831</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-ifdd-for-representation-expansion-in-large-mdps-1309.6831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-ifdd-for-representation-expansion-in-large-mdps-1309.6831"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-instance-learning-by-discriminative-training-of-markov-networks-1309.6833</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-instance-learning-by-discriminative-training-of-markov-networks-1309.6833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-instance-learning-by-discriminative-training-of-markov-networks-1309.6833"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-noisy-or-bayesian-networks-1309.6834</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-noisy-or-bayesian-networks-1309.6834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-noisy-or-bayesian-networks-1309.6834"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-processes-for-big-data-1309.6835</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-processes-for-big-data-1309.6835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-processes-for-big-data-1309.6835"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-covariance-estimation-for-high-dimensional-data-in-linear-time-and-space-spectral-methods-for-riccati-and-sparse-models-1309.6838</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-covariance-estimation-for-high-dimensional-data-in-linear-time-and-space-spectral-methods-for-riccati-and-sparse-models-1309.6838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-covariance-estimation-for-high-dimensional-data-in-linear-time-and-space-spectral-methods-for-riccati-and-sparse-models-1309.6838"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-bayesian-inference-for-low-rank-multitask-learning-1309.6840</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-bayesian-inference-for-low-rank-multitask-learning-1309.6840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-bayesian-inference-for-low-rank-multitask-learning-1309.6840"/></url>
<url><loc>https://scifaro.com/en/abs/learning-max-margin-tree-predictors-1309.6847</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-max-margin-tree-predictors-1309.6847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-max-margin-tree-predictors-1309.6847"/></url>
<url><loc>https://scifaro.com/en/abs/cyclic-causal-discovery-from-continuous-equilibrium-data-1309.6849</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cyclic-causal-discovery-from-continuous-equilibrium-data-1309.6849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cyclic-causal-discovery-from-continuous-equilibrium-data-1309.6849"/></url>
<url><loc>https://scifaro.com/en/abs/structured-convex-optimization-under-submodular-constraints-1309.6850</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-convex-optimization-under-submodular-constraints-1309.6850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-convex-optimization-under-submodular-constraints-1309.6850"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-rank-aggregation-1309.6852</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-rank-aggregation-1309.6852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-rank-aggregation-1309.6852"/></url>
<url><loc>https://scifaro.com/en/abs/the-supervised-ibp-neighbourhood-preserving-infinite-latent-feature-models-1309.6858</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-supervised-ibp-neighbourhood-preserving-infinite-latent-feature-models-1309.6858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-supervised-ibp-neighbourhood-preserving-infinite-latent-feature-models-1309.6858"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-finite-mixtures-of-nonparametric-product-distributions-and-causal-inference-of-confounders-1309.6860</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-finite-mixtures-of-nonparametric-product-distributions-and-causal-inference-of-confounders-1309.6860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-finite-mixtures-of-nonparametric-product-distributions-and-causal-inference-of-confounders-1309.6860"/></url>
<url><loc>https://scifaro.com/en/abs/determinantal-clustering-processes-a-nonparametric-bayesian-approach-to-kernel-based-semi-supervised-clustering-1309.6862</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/determinantal-clustering-processes-a-nonparametric-bayesian-approach-to-kernel-based-semi-supervised-clustering-1309.6862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/determinantal-clustering-processes-a-nonparametric-bayesian-approach-to-kernel-based-semi-supervised-clustering-1309.6862"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-nested-markov-models-with-log-linear-parameters-1309.6863</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-nested-markov-models-with-log-linear-parameters-1309.6863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-nested-markov-models-with-log-linear-parameters-1309.6863"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-documents-with-deep-boltzmann-machines-1309.6865</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-documents-with-deep-boltzmann-machines-1309.6865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-documents-with-deep-boltzmann-machines-1309.6865"/></url>
<url><loc>https://scifaro.com/en/abs/speedy-model-selection-sms-for-copula-models-1309.6867</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speedy-model-selection-sms-for-copula-models-1309.6867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speedy-model-selection-sms-for-copula-models-1309.6867"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-kalman-filter-q-learning-for-continuous-state-space-mdps-1309.6868</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-kalman-filter-q-learning-for-continuous-state-space-mdps-1309.6868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-kalman-filter-q-learning-for-continuous-state-space-mdps-1309.6868"/></url>
<url><loc>https://scifaro.com/en/abs/finite-time-analysis-of-kernelised-contextual-bandits-1309.6869</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-time-analysis-of-kernelised-contextual-bandits-1309.6869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-time-analysis-of-kernelised-contextual-bandits-1309.6869"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-document-clustering-and-topic-modeling-1309.6874</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-document-clustering-and-topic-modeling-1309.6874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-document-clustering-and-topic-modeling-1309.6874"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-with-expert-advice-1309.6875</loc><lastmod>2013-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-with-expert-advice-1309.6875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-with-expert-advice-1309.6875"/></url>
<url><loc>https://scifaro.com/en/abs/on-sampling-from-the-gibbs-distribution-with-random-maximum-a-posteriori-perturbations-1309.7598</loc><lastmod>2013-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-sampling-from-the-gibbs-distribution-with-random-maximum-a-posteriori-perturbations-1309.7598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-sampling-from-the-gibbs-distribution-with-random-maximum-a-posteriori-perturbations-1309.7598"/></url>
<url><loc>https://scifaro.com/en/abs/context-aware-recommendations-from-implicit-data-via-scalable-tensor-factorization-1309.7611</loc><lastmod>2013-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-aware-recommendations-from-implicit-data-via-scalable-tensor-factorization-1309.7611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-aware-recommendations-from-implicit-data-via-scalable-tensor-factorization-1309.7611"/></url>
<url><loc>https://scifaro.com/en/abs/an-upper-bound-on-prototype-set-size-for-condensed-nearest-neighbor-1309.7676</loc><lastmod>2013-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-upper-bound-on-prototype-set-size-for-condensed-nearest-neighbor-1309.7676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-upper-bound-on-prototype-set-size-for-condensed-nearest-neighbor-1309.7676"/></url>
<url><loc>https://scifaro.com/en/abs/an-extensive-experimental-study-on-the-cluster-based-reference-set-reduction-for-speeding-up-the-k-nn-classifier-1309.7750</loc><lastmod>2014-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-extensive-experimental-study-on-the-cluster-based-reference-set-reduction-for-speeding-up-the-k-nn-classifier-1309.7750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-extensive-experimental-study-on-the-cluster-based-reference-set-reduction-for-speeding-up-the-k-nn-classifier-1309.7750"/></url>
<url><loc>https://scifaro.com/en/abs/exploration-and-exploitation-in-visuomotor-prediction-of-autonomous-agents-1309.7959</loc><lastmod>2013-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploration-and-exploitation-in-visuomotor-prediction-of-autonomous-agents-1309.7959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploration-and-exploitation-in-visuomotor-prediction-of-autonomous-agents-1309.7959"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-feature-discovery-for-app-usage-prediction-in-smartphones-1309.7982</loc><lastmod>2013-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-feature-discovery-for-app-usage-prediction-in-smartphones-1309.7982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-feature-discovery-for-app-usage-prediction-in-smartphones-1309.7982"/></url>
<url><loc>https://scifaro.com/en/abs/summary-statistics-for-partitionings-and-feature-allocations-1310.0509</loc><lastmod>2013-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/summary-statistics-for-partitionings-and-feature-allocations-1310.0509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/summary-statistics-for-partitionings-and-feature-allocations-1310.0509"/></url>
<url><loc>https://scifaro.com/en/abs/learning-lambek-grammars-from-proof-frames-1310.0576</loc><lastmod>2013-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-lambek-grammars-from-proof-frames-1310.0576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-lambek-grammars-from-proof-frames-1310.0576"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-kernel-learning-in-the-primal-for-multi-modal-alzheimer-s-disease-classification-1310.0890</loc><lastmod>2013-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-kernel-learning-in-the-primal-for-multi-modal-alzheimer-s-disease-classification-1310.0890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-kernel-learning-in-the-primal-for-multi-modal-alzheimer-s-disease-classification-1310.0890"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-on-multiple-incomplete-datasets-via-collective-kernel-learning-1310.1177</loc><lastmod>2016-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-on-multiple-incomplete-datasets-via-collective-kernel-learning-1310.1177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-on-multiple-incomplete-datasets-via-collective-kernel-learning-1310.1177"/></url>
<url><loc>https://scifaro.com/en/abs/contraction-principle-based-robust-iterative-algorithms-for-machine-learning-1310.1518</loc><lastmod>2013-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contraction-principle-based-robust-iterative-algorithms-for-machine-learning-1310.1518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contraction-principle-based-robust-iterative-algorithms-for-machine-learning-1310.1518"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hidden-structures-with-relational-models-by-adequately-involving-rich-information-in-a-network-1310.1545</loc><lastmod>2013-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hidden-structures-with-relational-models-by-adequately-involving-rich-information-in-a-network-1310.1545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hidden-structures-with-relational-models-by-adequately-involving-rich-information-in-a-network-1310.1545"/></url>
<url><loc>https://scifaro.com/en/abs/mint-mutual-information-based-transductive-feature-selection-for-genetic-trait-prediction-1310.1659</loc><lastmod>2013-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mint-mutual-information-based-transductive-feature-selection-for-genetic-trait-prediction-1310.1659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mint-mutual-information-based-transductive-feature-selection-for-genetic-trait-prediction-1310.1659"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-coordinate-descent-for-the-adaboost-problem-1310.1840</loc><lastmod>2017-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-coordinate-descent-for-the-adaboost-problem-1310.1840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-coordinate-descent-for-the-adaboost-problem-1310.1840"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-features-via-generalized-eigenvectors-1310.1934</loc><lastmod>2013-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-features-via-generalized-eigenvectors-1310.1934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-features-via-generalized-eigenvectors-1310.1934"/></url>
<url><loc>https://scifaro.com/en/abs/least-squares-revisited-scalable-approaches-for-multi-class-prediction-1310.1949</loc><lastmod>2013-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/least-squares-revisited-scalable-approaches-for-multi-class-prediction-1310.1949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/least-squares-revisited-scalable-approaches-for-multi-class-prediction-1310.1949"/></url>
<url><loc>https://scifaro.com/en/abs/fast-multi-instance-multi-label-learning-1310.2049</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-multi-instance-multi-label-learning-1310.2049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-multi-instance-multi-label-learning-1310.2049"/></url>
<url><loc>https://scifaro.com/en/abs/improved-bayesian-logistic-supervised-topic-models-with-data-augmentation-1310.2408</loc><lastmod>2013-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-bayesian-logistic-supervised-topic-models-with-data-augmentation-1310.2408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-bayesian-logistic-supervised-topic-models-with-data-augmentation-1310.2408"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-relational-topic-models-1310.2409</loc><lastmod>2013-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-relational-topic-models-1310.2409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-relational-topic-models-1310.2409"/></url>
<url><loc>https://scifaro.com/en/abs/localized-iterative-methods-for-interpolation-in-graph-structured-data-1310.2646</loc><lastmod>2013-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/localized-iterative-methods-for-interpolation-in-graph-structured-data-1310.2646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/localized-iterative-methods-for-interpolation-in-graph-structured-data-1310.2646"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-graph-based-semi-supervised-learning-to-large-number-of-labels-using-count-min-sketch-1310.2959</loc><lastmod>2014-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-graph-based-semi-supervised-learning-to-large-number-of-labels-using-count-min-sketch-1310.2959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-graph-based-semi-supervised-learning-to-large-number-of-labels-using-count-min-sketch-1310.2959"/></url>
<url><loc>https://scifaro.com/en/abs/bandits-with-switching-costs-t-2-3-regret-1310.2997</loc><lastmod>2013-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandits-with-switching-costs-t-2-3-regret-1310.2997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandits-with-switching-costs-t-2-3-regret-1310.2997"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-network-view-on-acoustic-model-based-techniques-for-robust-speech-recognition-1310.3099</loc><lastmod>2014-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-network-view-on-acoustic-model-based-techniques-for-robust-speech-recognition-1310.3099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-network-view-on-acoustic-model-based-techniques-for-robust-speech-recognition-1310.3099"/></url>
<url><loc>https://scifaro.com/en/abs/an-extreme-learning-machine-approach-to-predicting-near-chaotic-hcci-combustion-phasing-in-real-time-1310.3567</loc><lastmod>2015-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-extreme-learning-machine-approach-to-predicting-near-chaotic-hcci-combustion-phasing-in-real-time-1310.3567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-extreme-learning-machine-approach-to-predicting-near-chaotic-hcci-combustion-phasing-in-real-time-1310.3567"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-college-basketball-match-outcomes-using-machine-learning-techniques-some-results-and-lessons-learned-1310.3607</loc><lastmod>2013-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-college-basketball-match-outcomes-using-machine-learning-techniques-some-results-and-lessons-learned-1310.3607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-college-basketball-match-outcomes-using-machine-learning-techniques-some-results-and-lessons-learned-1310.3607"/></url>
<url><loc>https://scifaro.com/en/abs/demystifying-information-theoretic-clustering-1310.4210</loc><lastmod>2014-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-information-theoretic-clustering-1310.4210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-information-theoretic-clustering-1310.4210"/></url>
<url><loc>https://scifaro.com/en/abs/on-measure-concentration-of-random-maximum-a-posteriori-perturbations-1310.4227</loc><lastmod>2013-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-measure-concentration-of-random-maximum-a-posteriori-perturbations-1310.4227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-measure-concentration-of-random-maximum-a-posteriori-perturbations-1310.4227"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-link-prediction-using-local-links-node-features-and-community-structure-1310.4579</loc><lastmod>2013-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-link-prediction-using-local-links-node-features-and-community-structure-1310.4579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-link-prediction-using-local-links-node-features-and-community-structure-1310.4579"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-sparsity-and-clustering-regularization-1310.4945</loc><lastmod>2014-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-sparsity-and-clustering-regularization-1310.4945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-sparsity-and-clustering-regularization-1310.4945"/></url>
<url><loc>https://scifaro.com/en/abs/learning-tensors-in-reproducing-kernel-hilbert-spaces-with-multilinear-spectral-penalties-1310.4977</loc><lastmod>2013-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-tensors-in-reproducing-kernel-hilbert-spaces-with-multilinear-spectral-penalties-1310.4977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-tensors-in-reproducing-kernel-hilbert-spaces-with-multilinear-spectral-penalties-1310.4977"/></url>
<url><loc>https://scifaro.com/en/abs/online-classification-using-a-voted-rda-method-1310.5007</loc><lastmod>2013-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-classification-using-a-voted-rda-method-1310.5007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-classification-using-a-voted-rda-method-1310.5007"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-in-dynamic-systems-for-contextual-bandit-problems-1310.5008</loc><lastmod>2013-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-in-dynamic-systems-for-contextual-bandit-problems-1310.5008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-in-dynamic-systems-for-contextual-bandit-problems-1310.5008"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretical-and-experimental-comparison-of-the-em-and-sem-algorithm-1310.5034</loc><lastmod>2014-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-and-experimental-comparison-of-the-em-and-sem-algorithm-1310.5034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-and-experimental-comparison-of-the-em-and-sem-algorithm-1310.5034"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-semantics-beyond-words-supervised-learning-of-analogy-and-paraphrase-1310.5042</loc><lastmod>2013-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-semantics-beyond-words-supervised-learning-of-analogy-and-paraphrase-1310.5042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-semantics-beyond-words-supervised-learning-of-analogy-and-paraphrase-1310.5042"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-approaches-to-clustering-network-constrained-trajectory-data-1310.5249</loc><lastmod>2013-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-approaches-to-clustering-network-constrained-trajectory-data-1310.5249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-approaches-to-clustering-network-constrained-trajectory-data-1310.5249"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-regularization-with-covariance-dictionary-for-linear-classifiers-1310.5393</loc><lastmod>2013-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-regularization-with-covariance-dictionary-for-linear-classifiers-1310.5393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-regularization-with-covariance-dictionary-for-linear-classifiers-1310.5393"/></url>
<url><loc>https://scifaro.com/en/abs/mli-an-api-for-distributed-machine-learning-1310.5426</loc><lastmod>2013-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mli-an-api-for-distributed-machine-learning-1310.5426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mli-an-api-for-distributed-machine-learning-1310.5426"/></url>
<url><loc>https://scifaro.com/en/abs/learning-theory-and-algorithms-for-revenue-optimization-in-second-price-auctions-with-reserve-1310.5665</loc><lastmod>2014-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-theory-and-algorithms-for-revenue-optimization-in-second-price-auctions-with-reserve-1310.5665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-theory-and-algorithms-for-revenue-optimization-in-second-price-auctions-with-reserve-1310.5665"/></url>
<url><loc>https://scifaro.com/en/abs/relative-deviation-learning-bounds-and-generalization-with-unbounded-loss-functions-1310.5796</loc><lastmod>2016-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-deviation-learning-bounds-and-generalization-with-unbounded-loss-functions-1310.5796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-deviation-learning-bounds-and-generalization-with-unbounded-loss-functions-1310.5796"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-optimization-for-sparse-gaussian-process-regression-1310.6007</loc><lastmod>2013-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-optimization-for-sparse-gaussian-process-regression-1310.6007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-optimization-for-sparse-gaussian-process-regression-1310.6007"/></url>
<url><loc>https://scifaro.com/en/abs/combining-structured-and-unstructured-randomness-in-large-scale-pca-1310.6304</loc><lastmod>2013-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-structured-and-unstructured-randomness-in-large-scale-pca-1310.6304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-structured-and-unstructured-randomness-in-large-scale-pca-1310.6304"/></url>
<url><loc>https://scifaro.com/en/abs/provable-bounds-for-learning-some-deep-representations-1310.6343</loc><lastmod>2013-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-bounds-for-learning-some-deep-representations-1310.6343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-bounds-for-learning-some-deep-representations-1310.6343"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-co-training-from-cortical-neurons-to-machine-learning-and-back-again-1310.6536</loc><lastmod>2013-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-co-training-from-cortical-neurons-to-machine-learning-and-back-again-1310.6536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-co-training-from-cortical-neurons-to-machine-learning-and-back-again-1310.6536"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-svm-and-least-absolute-deviations-via-exact-data-reduction-1310.7048</loc><lastmod>2013-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-svm-and-least-absolute-deviations-via-exact-data-reduction-1310.7048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-svm-and-least-absolute-deviations-via-exact-data-reduction-1310.7048"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-thompson-sampling-for-contextual-bandits-1310.7163</loc><lastmod>2013-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-thompson-sampling-for-contextual-bandits-1310.7163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-thompson-sampling-for-contextual-bandits-1310.7163"/></url>
<url><loc>https://scifaro.com/en/abs/relax-but-stay-in-control-from-value-to-algorithms-for-online-markov-decision-processes-1310.7300</loc><lastmod>2015-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relax-but-stay-in-control-from-value-to-algorithms-for-online-markov-decision-processes-1310.7300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relax-but-stay-in-control-from-value-to-algorithms-for-online-markov-decision-processes-1310.7300"/></url>
<url><loc>https://scifaro.com/en/abs/an-unsupervised-feature-learning-approach-to-improve-automatic-incident-detection-1310.7795</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-unsupervised-feature-learning-approach-to-improve-automatic-incident-detection-1310.7795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-unsupervised-feature-learning-approach-to-improve-automatic-incident-detection-1310.7795"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparsely-used-overcomplete-dictionaries-via-alternating-minimization-1310.7991</loc><lastmod>2014-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparsely-used-overcomplete-dictionaries-via-alternating-minimization-1310.7991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparsely-used-overcomplete-dictionaries-via-alternating-minimization-1310.7991"/></url>
<url><loc>https://scifaro.com/en/abs/necessary-and-sufficient-conditions-for-novel-word-detection-in-separable-topic-models-1310.7994</loc><lastmod>2013-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/necessary-and-sufficient-conditions-for-novel-word-detection-in-separable-topic-models-1310.7994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/necessary-and-sufficient-conditions-for-novel-word-detection-in-separable-topic-models-1310.7994"/></url>
<url><loc>https://scifaro.com/en/abs/online-ensemble-learning-for-imbalanced-data-streams-1310.8004</loc><lastmod>2013-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-ensemble-learning-for-imbalanced-data-streams-1310.8004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-ensemble-learning-for-imbalanced-data-streams-1310.8004"/></url>
<url><loc>https://scifaro.com/en/abs/para-active-learning-1310.8243</loc><lastmod>2013-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/para-active-learning-1310.8243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/para-active-learning-1310.8243"/></url>
<url><loc>https://scifaro.com/en/abs/safe-and-efficient-screening-for-sparse-support-vector-machine-1310.8320</loc><lastmod>2013-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-and-efficient-screening-for-sparse-support-vector-machine-1310.8320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-and-efficient-screening-for-sparse-support-vector-machine-1310.8320"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-distributed-learning-algorithm-based-on-effective-local-functional-approximations-1310.8418</loc><lastmod>2015-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-distributed-learning-algorithm-based-on-effective-local-functional-approximations-1310.8418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-distributed-learning-algorithm-based-on-effective-local-functional-approximations-1310.8418"/></url>
<url><loc>https://scifaro.com/en/abs/multilabel-classification-through-random-graph-ensembles-1310.8428</loc><lastmod>2013-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilabel-classification-through-random-graph-ensembles-1310.8428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilabel-classification-through-random-graph-ensembles-1310.8428"/></url>
<url><loc>https://scifaro.com/en/abs/deep-autoregressive-networks-1310.8499</loc><lastmod>2014-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-autoregressive-networks-1310.8499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-autoregressive-networks-1310.8499"/></url>
<url><loc>https://scifaro.com/en/abs/a-systematic-comparison-of-supervised-classifiers-1311.0202</loc><lastmod>2014-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-systematic-comparison-of-supervised-classifiers-1311.0202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-systematic-comparison-of-supervised-classifiers-1311.0202"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-multiple-operator-valued-kernels-1311.0222</loc><lastmod>2013-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-multiple-operator-valued-kernels-1311.0222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-multiple-operator-valued-kernels-1311.0222"/></url>
<url><loc>https://scifaro.com/en/abs/a-parallel-sgd-method-with-strong-convergence-1311.0636</loc><lastmod>2013-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-parallel-sgd-method-with-strong-convergence-1311.0636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-parallel-sgd-method-with-strong-convergence-1311.0636"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-exploration-in-multi-armed-bandits-1311.0800</loc><lastmod>2013-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-exploration-in-multi-armed-bandits-1311.0800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-exploration-in-multi-armed-bandits-1311.0800"/></url>
<url><loc>https://scifaro.com/en/abs/a-divide-and-conquer-solver-for-kernel-support-vector-machines-1311.0914</loc><lastmod>2013-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-divide-and-conquer-solver-for-kernel-support-vector-machines-1311.0914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-divide-and-conquer-solver-for-kernel-support-vector-machines-1311.0914"/></url>
<url><loc>https://scifaro.com/en/abs/large-margin-distribution-machine-1311.0989</loc><lastmod>2014-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-margin-distribution-machine-1311.0989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-margin-distribution-machine-1311.0989"/></url>
<url><loc>https://scifaro.com/en/abs/structural-learning-for-template-free-protein-folding-1311.1422</loc><lastmod>2013-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-learning-for-template-free-protein-folding-1311.1422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-learning-for-template-free-protein-folding-1311.1422"/></url>
<url><loc>https://scifaro.com/en/abs/the-maximum-entropy-relaxation-path-1311.1644</loc><lastmod>2013-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-maximum-entropy-relaxation-path-1311.1644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-maximum-entropy-relaxation-path-1311.1644"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-deep-and-recurrent-architectures-for-optimal-control-1311.1761</loc><lastmod>2013-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-deep-and-recurrent-architectures-for-optimal-control-1311.1761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-deep-and-recurrent-architectures-for-optimal-control-1311.1761"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-learning-and-games-with-predictable-sequences-1311.1869</loc><lastmod>2013-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-learning-and-games-with-predictable-sequences-1311.1869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-learning-and-games-with-predictable-sequences-1311.1869"/></url>
<url><loc>https://scifaro.com/en/abs/moment-based-uniform-deviation-bounds-for-k-means-and-friends-1311.1903</loc><lastmod>2013-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moment-based-uniform-deviation-bounds-for-k-means-and-friends-1311.1903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moment-based-uniform-deviation-bounds-for-k-means-and-friends-1311.1903"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-time-series-shape-association-measures-minkowski-distance-and-data-standardization-1311.1958</loc><lastmod>2014-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-time-series-shape-association-measures-minkowski-distance-and-data-standardization-1311.1958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-time-series-shape-association-measures-minkowski-distance-and-data-standardization-1311.1958"/></url>
<url><loc>https://scifaro.com/en/abs/risk-sensitive-reinforcement-learning-1311.2097</loc><lastmod>2014-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-sensitive-reinforcement-learning-1311.2097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-sensitive-reinforcement-learning-1311.2097"/></url>
<url><loc>https://scifaro.com/en/abs/fast-large-scale-optimization-by-unifying-stochastic-gradient-and-quasi-newton-methods-1311.2115</loc><lastmod>2014-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-large-scale-optimization-by-unifying-stochastic-gradient-and-quasi-newton-methods-1311.2115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-large-scale-optimization-by-unifying-stochastic-gradient-and-quasi-newton-methods-1311.2115"/></url>
<url><loc>https://scifaro.com/en/abs/a-structured-prediction-approach-for-missing-value-imputation-1311.2137</loc><lastmod>2013-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-structured-prediction-approach-for-missing-value-imputation-1311.2137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-structured-prediction-approach-for-missing-value-imputation-1311.2137"/></url>
<url><loc>https://scifaro.com/en/abs/large-margin-semi-supervised-structured-output-learning-1311.2139</loc><lastmod>2013-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-margin-semi-supervised-structured-output-learning-1311.2139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-margin-semi-supervised-structured-output-learning-1311.2139"/></url>
<url><loc>https://scifaro.com/en/abs/learning-gaussian-graphical-models-with-observed-or-latent-fvss-1311.2241</loc><lastmod>2013-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-gaussian-graphical-models-with-observed-or-latent-fvss-1311.2241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-gaussian-graphical-models-with-observed-or-latent-fvss-1311.2241"/></url>
<url><loc>https://scifaro.com/en/abs/more-data-speeds-up-training-time-in-learning-halfspaces-over-sparse-vectors-1311.2271</loc><lastmod>2013-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/more-data-speeds-up-training-time-in-learning-halfspaces-over-sparse-vectors-1311.2271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/more-data-speeds-up-training-time-in-learning-halfspaces-over-sparse-vectors-1311.2271"/></url>
<url><loc>https://scifaro.com/en/abs/from-average-case-complexity-to-improper-learning-complexity-1311.2272</loc><lastmod>2014-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-average-case-complexity-to-improper-learning-complexity-1311.2272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-average-case-complexity-to-improper-learning-complexity-1311.2272"/></url>
<url><loc>https://scifaro.com/en/abs/a-quantitative-evaluation-framework-for-missing-value-imputation-algorithms-1311.2276</loc><lastmod>2013-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-quantitative-evaluation-framework-for-missing-value-imputation-algorithms-1311.2276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-quantitative-evaluation-framework-for-missing-value-imputation-algorithms-1311.2276"/></url>
<url><loc>https://scifaro.com/en/abs/embed-and-conquer-scalable-embeddings-for-kernel-k-means-on-mapreduce-1311.2334</loc><lastmod>2014-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embed-and-conquer-scalable-embeddings-for-kernel-k-means-on-mapreduce-1311.2334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embed-and-conquer-scalable-embeddings-for-kernel-k-means-on-mapreduce-1311.2334"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-evaluation-of-sequence-tagging-trainers-1311.2378</loc><lastmod>2013-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-sequence-tagging-trainers-1311.2378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-sequence-tagging-trainers-1311.2378"/></url>
<url><loc>https://scifaro.com/en/abs/predictable-feature-analysis-1311.2503</loc><lastmod>2013-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictable-feature-analysis-1311.2503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictable-feature-analysis-1311.2503"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixtures-of-linear-classifiers-1311.2547</loc><lastmod>2014-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixtures-of-linear-classifiers-1311.2547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixtures-of-linear-classifiers-1311.2547"/></url>
<url><loc>https://scifaro.com/en/abs/dintucker-scaling-up-gaussian-process-models-on-multidimensional-arrays-with-billions-of-elements-1311.2663</loc><lastmod>2014-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dintucker-scaling-up-gaussian-process-models-on-multidimensional-arrays-with-billions-of-elements-1311.2663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dintucker-scaling-up-gaussian-process-models-on-multidimensional-arrays-with-billions-of-elements-1311.2663"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-clustering-via-the-power-method-provably-1311.2854</loc><lastmod>2015-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-clustering-via-the-power-method-provably-1311.2854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-clustering-via-the-power-method-provably-1311.2854"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-matrix-computations-pagerank-as-an-example-1311.2889</loc><lastmod>2013-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-matrix-computations-pagerank-as-an-example-1311.2889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-matrix-computations-pagerank-as-an-example-1311.2889"/></url>
<url><loc>https://scifaro.com/en/abs/the-more-the-merrier-the-blessing-of-dimensionality-for-learning-large-gaussian-mixtures-1311.2891</loc><lastmod>2014-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-more-the-merrier-the-blessing-of-dimensionality-for-learning-large-gaussian-mixtures-1311.2891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-more-the-merrier-the-blessing-of-dimensionality-for-learning-large-gaussian-mixtures-1311.2891"/></url>
<url><loc>https://scifaro.com/en/abs/learning-input-and-recurrent-weight-matrices-in-echo-state-networks-1311.2987</loc><lastmod>2013-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-input-and-recurrent-weight-matrices-in-echo-state-networks-1311.2987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-input-and-recurrent-weight-matrices-in-echo-state-networks-1311.2987"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-closed-form-local-metric-learning-for-k-nearest-neighbor-classifier-1311.3157</loc><lastmod>2013-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-closed-form-local-metric-learning-for-k-nearest-neighbor-classifier-1311.3157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-closed-form-local-metric-learning-for-k-nearest-neighbor-classifier-1311.3157"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-estimation-of-multi-view-latent-variable-models-1311.3287</loc><lastmod>2013-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-estimation-of-multi-view-latent-variable-models-1311.3287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-estimation-of-multi-view-latent-variable-models-1311.3287"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-matrix-factorization-1311.3315</loc><lastmod>2014-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-matrix-factorization-1311.3315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-matrix-factorization-1311.3315"/></url>
<url><loc>https://scifaro.com/en/abs/fundamental-limits-of-online-and-distributed-algorithms-for-statistical-learning-and-estimation-1311.3494</loc><lastmod>2014-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fundamental-limits-of-online-and-distributed-algorithms-for-statistical-learning-and-estimation-1311.3494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fundamental-limits-of-online-and-distributed-algorithms-for-statistical-learning-and-estimation-1311.3494"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-relational-learning-based-on-selective-propositionalization-1311.3735</loc><lastmod>2013-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-relational-learning-based-on-selective-propositionalization-1311.3735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-relational-learning-based-on-selective-propositionalization-1311.3735"/></url>
<url><loc>https://scifaro.com/en/abs/towards-big-topic-modeling-1311.4150</loc><lastmod>2013-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-big-topic-modeling-1311.4150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-big-topic-modeling-1311.4150"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-definition-of-a-general-learning-system-with-user-defined-operators-1311.4235</loc><lastmod>2013-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-definition-of-a-general-learning-system-with-user-defined-operators-1311.4235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-definition-of-a-general-learning-system-with-user-defined-operators-1311.4235"/></url>
<url><loc>https://scifaro.com/en/abs/reflection-methods-for-user-friendly-submodular-optimization-1311.4296</loc><lastmod>2013-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reflection-methods-for-user-friendly-submodular-optimization-1311.4296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reflection-methods-for-user-friendly-submodular-optimization-1311.4296"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-processes-and-feedback-linearisation-for-online-identification-and-bayesian-adaptive-control-of-fully-actuated-mechanical-systems-1311.4468</loc><lastmod>2014-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-processes-and-feedback-linearisation-for-online-identification-and-bayesian-adaptive-control-of-fully-actuated-mechanical-systems-1311.4468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-processes-and-feedback-linearisation-for-online-identification-and-bayesian-adaptive-control-of-fully-actuated-mechanical-systems-1311.4468"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-density-ratio-estimation-1311.4486</loc><lastmod>2013-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-density-ratio-estimation-1311.4486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-density-ratio-estimation-1311.4486"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-entrywise-sampling-for-data-matrices-1311.4643</loc><lastmod>2013-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-entrywise-sampling-for-data-matrices-1311.4643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-entrywise-sampling-for-data-matrices-1311.4643"/></url>
<url><loc>https://scifaro.com/en/abs/beating-the-minimax-rate-of-active-learning-with-prior-knowledge-1311.4803</loc><lastmod>2014-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beating-the-minimax-rate-of-active-learning-with-prior-knowledge-1311.4803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beating-the-minimax-rate-of-active-learning-with-prior-knowledge-1311.4803"/></url>
<url><loc>https://scifaro.com/en/abs/extended-formulations-for-online-linear-bandit-optimization-1311.5022</loc><lastmod>2015-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extended-formulations-for-online-linear-bandit-optimization-1311.5022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extended-formulations-for-online-linear-bandit-optimization-1311.5022"/></url>
<url><loc>https://scifaro.com/en/abs/gromov-hausdorff-stability-of-linkage-based-hierarchical-clustering-methods-1311.5068</loc><lastmod>2013-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gromov-hausdorff-stability-of-linkage-based-hierarchical-clustering-methods-1311.5068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gromov-hausdorff-stability-of-linkage-based-hierarchical-clustering-methods-1311.5068"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-overlapping-sets-lasso-for-multitask-learning-and-its-application-to-fmri-analysis-1311.5422</loc><lastmod>2013-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-overlapping-sets-lasso-for-multitask-learning-and-its-application-to-fmri-analysis-1311.5422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-overlapping-sets-lasso-for-multitask-learning-and-its-application-to-fmri-analysis-1311.5422"/></url>
<url><loc>https://scifaro.com/en/abs/learning-non-linear-feature-maps-1311.5636</loc><lastmod>2013-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-non-linear-feature-maps-1311.5636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-non-linear-feature-maps-1311.5636"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-hard-thresholding-pursuit-for-sparsity-constrained-optimization-1311.5750</loc><lastmod>2013-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-hard-thresholding-pursuit-for-sparsity-constrained-optimization-1311.5750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-hard-thresholding-pursuit-for-sparsity-constrained-optimization-1311.5750"/></url>
<url><loc>https://scifaro.com/en/abs/no-free-lunch-theorem-and-bayesian-probability-theory-two-sides-of-the-same-coin-some-implications-for-black-box-optimization-and-metaheuristics-1311.6041</loc><lastmod>2013-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-free-lunch-theorem-and-bayesian-probability-theory-two-sides-of-the-same-coin-some-implications-for-black-box-optimization-and-metaheuristics-1311.6041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-free-lunch-theorem-and-bayesian-probability-theory-two-sides-of-the-same-coin-some-implications-for-black-box-optimization-and-metaheuristics-1311.6041"/></url>
<url><loc>https://scifaro.com/en/abs/a-primal-dual-method-for-training-recurrent-neural-networks-constrained-by-the-echo-state-property-1311.6091</loc><lastmod>2014-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-primal-dual-method-for-training-recurrent-neural-networks-constrained-by-the-echo-state-property-1311.6091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-primal-dual-method-for-training-recurrent-neural-networks-constrained-by-the-echo-state-property-1311.6091"/></url>
<url><loc>https://scifaro.com/en/abs/bounding-the-test-log-likelihood-of-generative-models-1311.6184</loc><lastmod>2014-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounding-the-test-log-likelihood-of-generative-models-1311.6184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounding-the-test-log-likelihood-of-generative-models-1311.6184"/></url>
<url><loc>https://scifaro.com/en/abs/novelty-detection-under-multi-instance-multi-label-framework-1311.6211</loc><lastmod>2013-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novelty-detection-under-multi-instance-multi-label-framework-1311.6211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novelty-detection-under-multi-instance-multi-label-framework-1311.6211"/></url>
<url><loc>https://scifaro.com/en/abs/a-comprehensive-approach-to-universal-piecewise-nonlinear-regression-based-on-trees-1311.6392</loc><lastmod>2013-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comprehensive-approach-to-universal-piecewise-nonlinear-regression-based-on-trees-1311.6392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comprehensive-approach-to-universal-piecewise-nonlinear-regression-based-on-trees-1311.6392"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-approach-to-universal-prediction-generalized-upper-and-lower-bounds-1311.6396</loc><lastmod>2014-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-approach-to-universal-prediction-generalized-upper-and-lower-bounds-1311.6396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-approach-to-universal-prediction-generalized-upper-and-lower-bounds-1311.6396"/></url>
<url><loc>https://scifaro.com/en/abs/practical-inexact-proximal-quasi-newton-method-with-global-complexity-analysis-1311.6547</loc><lastmod>2015-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-inexact-proximal-quasi-newton-method-with-global-complexity-analysis-1311.6547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-inexact-proximal-quasi-newton-method-with-global-complexity-analysis-1311.6547"/></url>
<url><loc>https://scifaro.com/en/abs/double-ramp-loss-based-reject-option-classifier-1311.6556</loc><lastmod>2017-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-ramp-loss-based-reject-option-classifier-1311.6556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-ramp-loss-based-reject-option-classifier-1311.6556"/></url>
<url><loc>https://scifaro.com/en/abs/recommending-with-an-agenda-active-learning-of-private-attributes-using-matrix-factorization-1311.6802</loc><lastmod>2014-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recommending-with-an-agenda-active-learning-of-private-attributes-using-matrix-factorization-1311.6802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recommending-with-an-agenda-active-learning-of-private-attributes-using-matrix-factorization-1311.6802"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-family-of-adaptive-filtering-algorithms-based-on-the-logarithmic-cost-1311.6809</loc><lastmod>2015-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-family-of-adaptive-filtering-algorithms-based-on-the-logarithmic-cost-1311.6809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-family-of-adaptive-filtering-algorithms-based-on-the-logarithmic-cost-1311.6809"/></url>
<url><loc>https://scifaro.com/en/abs/learning-prices-for-repeated-auctions-with-strategic-buyers-1311.6838</loc><lastmod>2013-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-prices-for-repeated-auctions-with-strategic-buyers-1311.6838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-prices-for-repeated-auctions-with-strategic-buyers-1311.6838"/></url>
<url><loc>https://scifaro.com/en/abs/admm-algorithm-for-graphical-lasso-with-an-ell-infty-element-wise-norm-constraint-1311.7198</loc><lastmod>2013-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/admm-algorithm-for-graphical-lasso-with-an-ell-infty-element-wise-norm-constraint-1311.7198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/admm-algorithm-for-graphical-lasso-with-an-ell-infty-element-wise-norm-constraint-1311.7198"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-identification-of-probabilities-1311.7385</loc><lastmod>2014-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-identification-of-probabilities-1311.7385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-identification-of-probabilities-1311.7385"/></url>
<url><loc>https://scifaro.com/en/abs/the-power-of-asymmetry-in-binary-hashing-1311.7662</loc><lastmod>2013-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-power-of-asymmetry-in-binary-hashing-1311.7662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-power-of-asymmetry-in-binary-hashing-1311.7662"/></url>
<url><loc>https://scifaro.com/en/abs/combination-of-diverse-ranking-models-for-personalized-expedia-hotel-searches-1311.7679</loc><lastmod>2013-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combination-of-diverse-ranking-models-for-personalized-expedia-hotel-searches-1311.7679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combination-of-diverse-ranking-models-for-personalized-expedia-hotel-searches-1311.7679"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-optimization-of-smooth-loss-1312.0048</loc><lastmod>2013-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-optimization-of-smooth-loss-1312.0048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-optimization-of-smooth-loss-1312.0048"/></url>
<url><loc>https://scifaro.com/en/abs/one-class-classification-taxonomy-of-study-and-review-of-techniques-1312.0049</loc><lastmod>2018-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-class-classification-taxonomy-of-study-and-review-of-techniques-1312.0049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-class-classification-taxonomy-of-study-and-review-of-techniques-1312.0049"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-and-planning-with-compressed-predictive-states-1312.0286</loc><lastmod>2014-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-and-planning-with-compressed-predictive-states-1312.0286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-and-planning-with-compressed-predictive-states-1312.0286"/></url>
<url><loc>https://scifaro.com/en/abs/practical-collapsed-stochastic-variational-inference-for-the-hdp-1312.0412</loc><lastmod>2013-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-collapsed-stochastic-variational-inference-for-the-hdp-1312.0412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-collapsed-stochastic-variational-inference-for-the-hdp-1312.0412"/></url>
<url><loc>https://scifaro.com/en/abs/bidirectional-recursive-neural-networks-for-token-level-labeling-with-structure-1312.0493</loc><lastmod>2013-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bidirectional-recursive-neural-networks-for-token-level-labeling-with-structure-1312.0493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bidirectional-recursive-neural-networks-for-token-level-labeling-with-structure-1312.0493"/></url>
<url><loc>https://scifaro.com/en/abs/sensing-aware-kernel-svm-1312.0512</loc><lastmod>2014-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensing-aware-kernel-svm-1312.0512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensing-aware-kernel-svm-1312.0512"/></url>
<url><loc>https://scifaro.com/en/abs/grid-topology-identification-using-electricity-prices-1312.0516</loc><lastmod>2014-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grid-topology-identification-using-electricity-prices-1312.0516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grid-topology-identification-using-electricity-prices-1312.0516"/></url>
<url><loc>https://scifaro.com/en/abs/speedmachines-anytime-structured-prediction-1312.0579</loc><lastmod>2013-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speedmachines-anytime-structured-prediction-1312.0579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speedmachines-anytime-structured-prediction-1312.0579"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-coordinate-descent-for-orthogonal-matrices-through-givens-rotations-1312.0624</loc><lastmod>2013-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-coordinate-descent-for-orthogonal-matrices-through-givens-rotations-1312.0624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-coordinate-descent-for-orthogonal-matrices-through-givens-rotations-1312.0624"/></url>
<url><loc>https://scifaro.com/en/abs/image-representation-learning-using-graph-regularized-auto-encoders-1312.0786</loc><lastmod>2014-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/image-representation-learning-using-graph-regularized-auto-encoders-1312.0786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/image-representation-learning-using-graph-regularized-auto-encoders-1312.0786"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-alternating-minimization-for-matrix-completion-1312.0925</loc><lastmod>2014-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-alternating-minimization-for-matrix-completion-1312.0925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-alternating-minimization-for-matrix-completion-1312.0925"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-random-forest-classification-models-using-a-feature-contribution-method-1312.1121</loc><lastmod>2013-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-random-forest-classification-models-using-a-feature-contribution-method-1312.1121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-random-forest-classification-models-using-a-feature-contribution-method-1312.1121"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-online-optimization-over-the-permutahedron-1312.1530</loc><lastmod>2014-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-online-optimization-over-the-permutahedron-1312.1530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-online-optimization-over-the-permutahedron-1312.1530"/></url>
<url><loc>https://scifaro.com/en/abs/curriculum-learning-for-handwritten-text-line-recognition-1312.1737</loc><lastmod>2013-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curriculum-learning-for-handwritten-text-line-recognition-1312.1737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curriculum-learning-for-handwritten-text-line-recognition-1312.1737"/></url>
<url><loc>https://scifaro.com/en/abs/dual-coordinate-solvers-for-large-scale-structural-svms-1312.1743</loc><lastmod>2014-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-coordinate-solvers-for-large-scale-structural-svms-1312.1743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-coordinate-solvers-for-large-scale-structural-svms-1312.1743"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-deep-architectures-using-a-recursive-convolutional-network-1312.1847</loc><lastmod>2014-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-deep-architectures-using-a-recursive-convolutional-network-1312.1847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-deep-architectures-using-a-recursive-convolutional-network-1312.1847"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-phoneme-sequence-recognition-using-convolutional-neural-networks-1312.2137</loc><lastmod>2013-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-phoneme-sequence-recognition-using-convolutional-neural-networks-1312.2137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-phoneme-sequence-recognition-using-convolutional-neural-networks-1312.2137"/></url>
<url><loc>https://scifaro.com/en/abs/budgeted-influence-maximization-for-multiple-products-1312.2164</loc><lastmod>2014-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/budgeted-influence-maximization-for-multiple-products-1312.2164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/budgeted-influence-maximization-for-multiple-products-1312.2164"/></url>
<url><loc>https://scifaro.com/en/abs/ceai-ccm-based-email-authorship-identification-model-1312.2451</loc><lastmod>2013-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ceai-ccm-based-email-authorship-identification-model-1312.2451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ceai-ccm-based-email-authorship-identification-model-1312.2451"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-distance-metric-learning-in-the-output-space-1312.2578</loc><lastmod>2014-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-distance-metric-learning-in-the-output-space-1312.2578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-distance-metric-learning-in-the-output-space-1312.2578"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-classification-hypothesis-space-with-improved-generalization-bounds-1312.2606</loc><lastmod>2013-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-classification-hypothesis-space-with-improved-generalization-bounds-1312.2606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-classification-hypothesis-space-with-improved-generalization-bounds-1312.2606"/></url>
<url><loc>https://scifaro.com/en/abs/improving-circuit-miniaturization-and-its-efficiency-using-rough-set-theory-1312.2710</loc><lastmod>2013-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-circuit-miniaturization-and-its-efficiency-using-rough-set-theory-1312.2710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-circuit-miniaturization-and-its-efficiency-using-rough-set-theory-1312.2710"/></url>
<url><loc>https://scifaro.com/en/abs/performance-analysis-of-regularized-linear-regression-models-for-oxazolines-and-oxazoles-derivitive-descriptor-dataset-1312.2789</loc><lastmod>2013-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-analysis-of-regularized-linear-regression-models-for-oxazolines-and-oxazoles-derivitive-descriptor-dataset-1312.2789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-analysis-of-regularized-linear-regression-models-for-oxazolines-and-oxazoles-derivitive-descriptor-dataset-1312.2789"/></url>
<url><loc>https://scifaro.com/en/abs/active-player-modelling-1312.2936</loc><lastmod>2013-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-player-modelling-1312.2936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-player-modelling-1312.2936"/></url>
<url><loc>https://scifaro.com/en/abs/online-bayesian-passive-aggressive-learning-1312.3388</loc><lastmod>2013-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-bayesian-passive-aggressive-learning-1312.3388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-bayesian-passive-aggressive-learning-1312.3388"/></url>
<url><loc>https://scifaro.com/en/abs/relative-upper-confidence-bound-for-the-k-armed-dueling-bandit-problem-1312.3393</loc><lastmod>2013-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-upper-confidence-bound-for-the-k-armed-dueling-bandit-problem-1312.3393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-upper-confidence-bound-for-the-k-armed-dueling-bandit-problem-1312.3393"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-matrix-based-random-projection-for-classification-1312.3522</loc><lastmod>2014-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-matrix-based-random-projection-for-classification-1312.3522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-matrix-based-random-projection-for-classification-1312.3522"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-baseline-free-sampling-in-parameter-exploring-policy-gradients-super-symmetric-pgpe-1312.3811</loc><lastmod>2013-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-baseline-free-sampling-in-parameter-exploring-policy-gradients-super-symmetric-pgpe-1312.3811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-baseline-free-sampling-in-parameter-exploring-policy-gradients-super-symmetric-pgpe-1312.3811"/></url>
<url><loc>https://scifaro.com/en/abs/an-extensive-evaluation-of-filtering-misclassified-instances-in-supervised-classification-tasks-1312.3970</loc><lastmod>2013-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-extensive-evaluation-of-filtering-misclassified-instances-in-supervised-classification-tasks-1312.3970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-extensive-evaluation-of-filtering-misclassified-instances-in-supervised-classification-tasks-1312.3970"/></url>
<url><loc>https://scifaro.com/en/abs/a-mapreduce-based-distributed-svm-algorithm-for-binary-classification-1312.4108</loc><lastmod>2013-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mapreduce-based-distributed-svm-algorithm-for-binary-classification-1312.4108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mapreduce-based-distributed-svm-algorithm-for-binary-classification-1312.4108"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-k-means-algorithm-1312.4176</loc><lastmod>2014-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-k-means-algorithm-1312.4176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-k-means-algorithm-1312.4176"/></url>
<url><loc>https://scifaro.com/en/abs/feature-graph-architectures-1312.4209</loc><lastmod>2013-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-graph-architectures-1312.4209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-graph-architectures-1312.4209"/></url>
<url><loc>https://scifaro.com/en/abs/learning-factored-representations-in-a-deep-mixture-of-experts-1312.4314</loc><lastmod>2014-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-factored-representations-in-a-deep-mixture-of-experts-1312.4314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-factored-representations-in-a-deep-mixture-of-experts-1312.4314"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-representations-by-distributed-random-samplings-1312.4405</loc><lastmod>2013-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-representations-by-distributed-random-samplings-1312.4405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-representations-by-distributed-random-samplings-1312.4405"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-approximations-for-conditional-feedforward-computation-in-deep-neural-networks-1312.4461</loc><lastmod>2014-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-approximations-for-conditional-feedforward-computation-in-deep-neural-networks-1312.4461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-approximations-for-conditional-feedforward-computation-in-deep-neural-networks-1312.4461"/></url>
<url><loc>https://scifaro.com/en/abs/probable-convexity-and-its-application-to-correlated-topic-models-1312.4527</loc><lastmod>2013-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probable-convexity-and-its-application-to-correlated-topic-models-1312.4527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probable-convexity-and-its-application-to-correlated-topic-models-1312.4527"/></url>
<url><loc>https://scifaro.com/en/abs/evolution-and-computational-learning-theory-a-survey-on-valiant-s-paper-1312.4599</loc><lastmod>2013-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolution-and-computational-learning-theory-a-survey-on-valiant-s-paper-1312.4599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolution-and-computational-learning-theory-a-survey-on-valiant-s-paper-1312.4599"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-complex-valued-representations-of-natural-sounds-learned-with-phase-and-amplitude-continuity-priors-1312.4695</loc><lastmod>2014-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-complex-valued-representations-of-natural-sounds-learned-with-phase-and-amplitude-continuity-priors-1312.4695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-complex-valued-representations-of-natural-sounds-learned-with-phase-and-amplitude-continuity-priors-1312.4695"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-evaluation-of-curriculum-learning-with-filtering-and-boosting-1312.4986</loc><lastmod>2013-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-evaluation-of-curriculum-learning-with-filtering-and-boosting-1312.4986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-evaluation-of-curriculum-learning-with-filtering-and-boosting-1312.4986"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-online-bootstrapping-for-large-scale-learning-1312.5021</loc><lastmod>2013-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-online-bootstrapping-for-large-scale-learning-1312.5021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-online-bootstrapping-for-large-scale-learning-1312.5021"/></url>
<url><loc>https://scifaro.com/en/abs/learning-semantic-script-knowledge-with-event-embeddings-1312.5198</loc><lastmod>2017-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-semantic-script-knowledge-with-event-embeddings-1312.5198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-semantic-script-knowledge-with-event-embeddings-1312.5198"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-learning-engineering-super-features-with-feature-algebras-1312.5398</loc><lastmod>2014-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-learning-engineering-super-features-with-feature-algebras-1312.5398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-learning-engineering-super-features-with-feature-algebras-1312.5398"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-multi-label-text-classification-revisiting-neural-networks-1312.5419</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-multi-label-text-classification-revisiting-neural-networks-1312.5419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-multi-label-text-classification-revisiting-neural-networks-1312.5419"/></url>
<url><loc>https://scifaro.com/en/abs/learning-rates-of-l-q-coefficient-regularization-learning-with-gaussian-kernel-1312.5465</loc><lastmod>2014-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-rates-of-l-q-coefficient-regularization-learning-with-gaussian-kernel-1312.5465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-rates-of-l-q-coefficient-regularization-learning-with-gaussian-kernel-1312.5465"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-transitions-for-generative-stochastic-networks-1312.5578</loc><lastmod>2014-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-transitions-for-generative-stochastic-networks-1312.5578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-transitions-for-generative-stochastic-networks-1312.5578"/></url>
<url><loc>https://scifaro.com/en/abs/playing-atari-with-deep-reinforcement-learning-1312.5602</loc><lastmod>2013-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/playing-atari-with-deep-reinforcement-learning-1312.5602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/playing-atari-with-deep-reinforcement-learning-1312.5602"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-learning-by-convex-combination-of-semantic-embeddings-1312.5650</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-learning-by-convex-combination-of-semantic-embeddings-1312.5650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-learning-by-convex-combination-of-semantic-embeddings-1312.5650"/></url>
<url><loc>https://scifaro.com/en/abs/k-sparse-autoencoders-1312.5663</loc><lastmod>2014-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-sparse-autoencoders-1312.5663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-sparse-autoencoders-1312.5663"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-of-causal-inference-under-the-additive-noise-model-1312.5770</loc><lastmod>2014-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-of-causal-inference-under-the-additive-noise-model-1312.5770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-of-causal-inference-under-the-additive-noise-model-1312.5770"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-feature-learning-by-deep-sparse-coding-1312.5783</loc><lastmod>2013-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-feature-learning-by-deep-sparse-coding-1312.5783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-feature-learning-by-deep-sparse-coding-1312.5783"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-pretraining-encourages-moderate-sparseness-1312.5813</loc><lastmod>2014-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-pretraining-encourages-moderate-sparseness-1312.5813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-pretraining-encourages-moderate-sparseness-1312.5813"/></url>
<url><loc>https://scifaro.com/en/abs/multi-gpu-training-of-convnets-1312.5853</loc><lastmod>2014-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-gpu-training-of-convnets-1312.5853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-gpu-training-of-convnets-1312.5853"/></url>
<url><loc>https://scifaro.com/en/abs/principled-non-linear-feature-selection-1312.5869</loc><lastmod>2014-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principled-non-linear-feature-selection-1312.5869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principled-non-linear-feature-selection-1312.5869"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-seeding-for-gaussian-mixture-models-1312.5946</loc><lastmod>2017-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-seeding-for-gaussian-mixture-models-1312.5946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-seeding-for-gaussian-mixture-models-1312.5946"/></url>
<url><loc>https://scifaro.com/en/abs/learning-states-representations-in-pomdp-1312.6042</loc><lastmod>2014-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-states-representations-in-pomdp-1312.6042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-states-representations-in-pomdp-1312.6042"/></url>
<url><loc>https://scifaro.com/en/abs/unit-tests-for-stochastic-optimization-1312.6055</loc><lastmod>2014-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unit-tests-for-stochastic-optimization-1312.6055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unit-tests-for-stochastic-optimization-1312.6055"/></url>
<url><loc>https://scifaro.com/en/abs/stopping-criteria-in-contrastive-divergence-alternatives-to-the-reconstruction-error-1312.6062</loc><lastmod>2014-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stopping-criteria-in-contrastive-divergence-alternatives-to-the-reconstruction-error-1312.6062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stopping-criteria-in-contrastive-divergence-alternatives-to-the-reconstruction-error-1312.6062"/></url>
<url><loc>https://scifaro.com/en/abs/the-return-of-adaboost-mh-multi-class-hamming-trees-1312.6086</loc><lastmod>2013-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-return-of-adaboost-mh-multi-class-hamming-trees-1312.6086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-return-of-adaboost-mh-multi-class-hamming-trees-1312.6086"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-number-of-response-regions-of-deep-feed-forward-networks-with-piece-wise-linear-activations-1312.6098</loc><lastmod>2014-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-number-of-response-regions-of-deep-feed-forward-networks-with-piece-wise-linear-activations-1312.6098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-number-of-response-regions-of-deep-feed-forward-networks-with-piece-wise-linear-activations-1312.6098"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-three-methods-of-clustering-k-means-spectral-clustering-and-hierarchical-clustering-1312.6117</loc><lastmod>2014-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-three-methods-of-clustering-k-means-spectral-clustering-and-hierarchical-clustering-1312.6117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-three-methods-of-clustering-k-means-spectral-clustering-and-hierarchical-clustering-1312.6117"/></url>
<url><loc>https://scifaro.com/en/abs/distinction-between-features-extracted-using-deep-belief-networks-1312.6157</loc><lastmod>2014-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distinction-between-features-extracted-using-deep-belief-networks-1312.6157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distinction-between-features-extracted-using-deep-belief-networks-1312.6157"/></url>
<url><loc>https://scifaro.com/en/abs/deep-belief-networks-for-image-denoising-1312.6158</loc><lastmod>2014-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-belief-networks-for-image-denoising-1312.6158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-belief-networks-for-image-denoising-1312.6158"/></url>
<url><loc>https://scifaro.com/en/abs/factorial-hidden-markov-models-for-learning-representations-of-natural-language-1312.6168</loc><lastmod>2014-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factorial-hidden-markov-models-for-learning-representations-of-natural-language-1312.6168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factorial-hidden-markov-models-for-learning-representations-of-natural-language-1312.6168"/></url>
<url><loc>https://scifaro.com/en/abs/learning-information-spread-in-content-networks-1312.6169</loc><lastmod>2014-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-information-spread-in-content-networks-1312.6169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-information-spread-in-content-networks-1312.6169"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-regularized-kernel-logistic-regression-for-web-image-annotation-1312.6180</loc><lastmod>2013-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-regularized-kernel-logistic-regression-for-web-image-annotation-1312.6180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-regularized-kernel-logistic-regression-for-web-image-annotation-1312.6180"/></url>
<url><loc>https://scifaro.com/en/abs/do-deep-nets-really-need-to-be-deep-1312.6184</loc><lastmod>2014-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-deep-nets-really-need-to-be-deep-1312.6184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-deep-nets-really-need-to-be-deep-1312.6184"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-feature-ranking-for-unsupervised-transfer-learning-1312.6190</loc><lastmod>2014-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-feature-ranking-for-unsupervised-transfer-learning-1312.6190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-feature-ranking-for-unsupervised-transfer-learning-1312.6190"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-networks-and-locally-connected-networks-on-graphs-1312.6203</loc><lastmod>2014-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-networks-and-locally-connected-networks-on-graphs-1312.6203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-networks-and-locally-connected-networks-on-graphs-1312.6203"/></url>
<url><loc>https://scifaro.com/en/abs/volumetric-spanners-an-efficient-exploration-basis-for-learning-1312.6214</loc><lastmod>2014-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/volumetric-spanners-an-efficient-exploration-basis-for-learning-1312.6214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/volumetric-spanners-an-efficient-exploration-basis-for-learning-1312.6214"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-free-concentration-bounds-on-hankel-matrices-for-spectral-learning-1312.6282</loc><lastmod>2013-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-free-concentration-bounds-on-hankel-matrices-for-spectral-learning-1312.6282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-free-concentration-bounds-on-hankel-matrices-for-spectral-learning-1312.6282"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-weight-initialization-of-neural-networks-via-integral-representation-1312.6461</loc><lastmod>2014-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-weight-initialization-of-neural-networks-via-integral-representation-1312.6461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-weight-initialization-of-neural-networks-via-integral-representation-1312.6461"/></url>
<url><loc>https://scifaro.com/en/abs/co-multistage-of-multiple-classifiers-for-imbalanced-multiclass-learning-1312.6597</loc><lastmod>2014-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-multistage-of-multiple-classifiers-for-imbalanced-multiclass-learning-1312.6597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-multistage-of-multiple-classifiers-for-imbalanced-multiclass-learning-1312.6597"/></url>
<url><loc>https://scifaro.com/en/abs/invariant-factorization-of-time-series-1312.6712</loc><lastmod>2015-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariant-factorization-of-time-series-1312.6712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariant-factorization-of-time-series-1312.6712"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-nearest-neighborhood-oversampling-in-semisupervised-learning-from-imbalanced-data-1312.6807</loc><lastmod>2013-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-nearest-neighborhood-oversampling-in-semisupervised-learning-from-imbalanced-data-1312.6807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-nearest-neighborhood-oversampling-in-semisupervised-learning-from-imbalanced-data-1312.6807"/></url>
<url><loc>https://scifaro.com/en/abs/towards-using-unlabeled-data-in-a-sparse-coding-framework-for-human-activity-recognition-1312.6995</loc><lastmod>2014-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-using-unlabeled-data-in-a-sparse-coding-framework-for-human-activity-recognition-1312.6995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-using-unlabeled-data-in-a-sparse-coding-framework-for-human-activity-recognition-1312.6995"/></url>
<url><loc>https://scifaro.com/en/abs/sub-classifier-construction-for-error-correcting-output-code-using-minimum-weight-perfect-matching-1312.7179</loc><lastmod>2013-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sub-classifier-construction-for-error-correcting-output-code-using-minimum-weight-perfect-matching-1312.7179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sub-classifier-construction-for-error-correcting-output-code-using-minimum-weight-perfect-matching-1312.7179"/></url>
<url><loc>https://scifaro.com/en/abs/active-discovery-of-network-roles-for-predicting-the-classes-of-network-nodes-1312.7258</loc><lastmod>2014-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-discovery-of-network-roles-for-predicting-the-classes-of-network-nodes-1312.7258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-discovery-of-network-roles-for-predicting-the-classes-of-network-nodes-1312.7258"/></url>
<url><loc>https://scifaro.com/en/abs/rate-distortion-auto-encoders-1312.7381</loc><lastmod>2014-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rate-distortion-auto-encoders-1312.7381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rate-distortion-auto-encoders-1312.7381"/></url>
<url><loc>https://scifaro.com/en/abs/response-based-approachability-and-its-application-to-generalized-no-regret-algorithms-1312.7658</loc><lastmod>2013-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/response-based-approachability-and-its-application-to-generalized-no-regret-algorithms-1312.7658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/response-based-approachability-and-its-application-to-generalized-no-regret-algorithms-1312.7658"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-distributed-optimization-using-an-approximate-newton-type-method-1312.7853</loc><lastmod>2014-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-distributed-optimization-using-an-approximate-newton-type-method-1312.7853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-distributed-optimization-using-an-approximate-newton-type-method-1312.7853"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-the-bethe-partition-function-1401.0044</loc><lastmod>2014-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-the-bethe-partition-function-1401.0044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-the-bethe-partition-function-1401.0044"/></url>
<url><loc>https://scifaro.com/en/abs/controlled-sparsity-kernel-learning-1401.0116</loc><lastmod>2014-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlled-sparsity-kernel-learning-1401.0116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlled-sparsity-kernel-learning-1401.0116"/></url>
<url><loc>https://scifaro.com/en/abs/robust-hierarchical-clustering-1401.0247</loc><lastmod>2014-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-hierarchical-clustering-1401.0247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-hierarchical-clustering-1401.0247"/></url>
<url><loc>https://scifaro.com/en/abs/learning-without-concentration-1401.0304</loc><lastmod>2014-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-without-concentration-1401.0304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-without-concentration-1401.0304"/></url>
<url><loc>https://scifaro.com/en/abs/eigengp-gaussian-process-models-with-adaptive-eigenfunctions-1401.0362</loc><lastmod>2015-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigengp-gaussian-process-models-with-adaptive-eigenfunctions-1401.0362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigengp-gaussian-process-models-with-adaptive-eigenfunctions-1401.0362"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-representative-domain-adaptation-1401.0376</loc><lastmod>2014-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-representative-domain-adaptation-1401.0376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-representative-domain-adaptation-1401.0376"/></url>
<url><loc>https://scifaro.com/en/abs/data-smashing-1401.0742</loc><lastmod>2014-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-smashing-1401.0742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-smashing-1401.0742"/></url>
<url><loc>https://scifaro.com/en/abs/from-kernel-machines-to-ensemble-learning-1401.0767</loc><lastmod>2014-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-kernel-machines-to-ensemble-learning-1401.0767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-kernel-machines-to-ensemble-learning-1401.0767"/></url>
<url><loc>https://scifaro.com/en/abs/learning-parametric-dictionaries-for-graph-signals-1401.0887</loc><lastmod>2015-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-parametric-dictionaries-for-graph-signals-1401.0887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-parametric-dictionaries-for-graph-signals-1401.0887"/></url>
<url><loc>https://scifaro.com/en/abs/exploration-vs-exploitation-vs-safety-risk-averse-multi-armed-bandits-1401.1123</loc><lastmod>2014-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploration-vs-exploitation-vs-safety-risk-averse-multi-armed-bandits-1401.1123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploration-vs-exploitation-vs-safety-risk-averse-multi-armed-bandits-1401.1123"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-demand-response-using-device-based-reinforcement-learning-1401.1549</loc><lastmod>2014-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-demand-response-using-device-based-reinforcement-learning-1401.1549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-demand-response-using-device-based-reinforcement-learning-1401.1549"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-one-step-ahead-forecasting-evaluation-of-alternative-multi-step-ahead-forecasting-models-for-crude-oil-prices-1401.1560</loc><lastmod>2014-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-one-step-ahead-forecasting-evaluation-of-alternative-multi-step-ahead-forecasting-models-for-crude-oil-prices-1401.1560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-one-step-ahead-forecasting-evaluation-of-alternative-multi-step-ahead-forecasting-models-for-crude-oil-prices-1401.1560"/></url>
<url><loc>https://scifaro.com/en/abs/fast-nonparametric-clustering-of-structured-time-series-1401.1605</loc><lastmod>2014-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-nonparametric-clustering-of-structured-time-series-1401.1605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-nonparametric-clustering-of-structured-time-series-1401.1605"/></url>
<url><loc>https://scifaro.com/en/abs/dj-mc-a-reinforcement-learning-agent-for-music-playlist-recommendation-1401.1880</loc><lastmod>2015-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dj-mc-a-reinforcement-learning-agent-for-music-playlist-recommendation-1401.1880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dj-mc-a-reinforcement-learning-agent-for-music-playlist-recommendation-1401.1880"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-unimodality-test-in-clustering-by-signature-testing-1401.1895</loc><lastmod>2014-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-unimodality-test-in-clustering-by-signature-testing-1401.1895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-unimodality-test-in-clustering-by-signature-testing-1401.1895"/></url>
<url><loc>https://scifaro.com/en/abs/a-pso-and-pattern-search-based-memetic-algorithm-for-svms-parameters-optimization-1401.1926</loc><lastmod>2014-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pso-and-pattern-search-based-memetic-algorithm-for-svms-parameters-optimization-1401.1926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pso-and-pattern-search-based-memetic-algorithm-for-svms-parameters-optimization-1401.1926"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-multilevel-clustering-with-group-level-contexts-1401.1974</loc><lastmod>2014-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-multilevel-clustering-with-group-level-contexts-1401.1974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-multilevel-clustering-with-group-level-contexts-1401.1974"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-coding-and-the-concept-of-similarity-1401.2411</loc><lastmod>2024-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-coding-and-the-concept-of-similarity-1401.2411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-coding-and-the-concept-of-similarity-1401.2411"/></url>
<url><loc>https://scifaro.com/en/abs/an-online-expectation-maximisation-algorithm-for-nonnegative-matrix-factorisation-models-1401.2490</loc><lastmod>2014-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-online-expectation-maximisation-algorithm-for-nonnegative-matrix-factorisation-models-1401.2490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-online-expectation-maximisation-algorithm-for-nonnegative-matrix-factorisation-models-1401.2490"/></url>
<url><loc>https://scifaro.com/en/abs/multi-step-ahead-time-series-prediction-using-multiple-output-support-vector-regression-1401.2504</loc><lastmod>2014-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-step-ahead-time-series-prediction-using-multiple-output-support-vector-regression-1401.2504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-step-ahead-time-series-prediction-using-multiple-output-support-vector-regression-1401.2504"/></url>
<url><loc>https://scifaro.com/en/abs/gps-abc-gaussian-process-surrogate-approximate-bayesian-computation-1401.2838</loc><lastmod>2014-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gps-abc-gaussian-process-surrogate-approximate-bayesian-computation-1401.2838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gps-abc-gaussian-process-surrogate-approximate-bayesian-computation-1401.2838"/></url>
<url><loc>https://scifaro.com/en/abs/a-boosting-approach-to-learning-graph-representations-1401.3258</loc><lastmod>2014-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-boosting-approach-to-learning-graph-representations-1401.3258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-boosting-approach-to-learning-graph-representations-1401.3258"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-mixed-membership-matrix-factorization-1401.3413</loc><lastmod>2014-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-mixed-membership-matrix-factorization-1401.3413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-mixed-membership-matrix-factorization-1401.3413"/></url>
<url><loc>https://scifaro.com/en/abs/analogical-dissimilarity-definition-algorithms-and-two-experiments-in-machine-learning-1401.3427</loc><lastmod>2014-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analogical-dissimilarity-definition-algorithms-and-two-experiments-in-machine-learning-1401.3427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analogical-dissimilarity-definition-algorithms-and-two-experiments-in-machine-learning-1401.3427"/></url>
<url><loc>https://scifaro.com/en/abs/latent-tree-models-and-approximate-inference-in-bayesian-networks-1401.3429</loc><lastmod>2014-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-tree-models-and-approximate-inference-in-bayesian-networks-1401.3429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-tree-models-and-approximate-inference-in-bayesian-networks-1401.3429"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-stochastic-resource-control-a-machine-learning-approach-1401.3434</loc><lastmod>2014-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-stochastic-resource-control-a-machine-learning-approach-1401.3434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-stochastic-resource-control-a-machine-learning-approach-1401.3434"/></url>
<url><loc>https://scifaro.com/en/abs/transductive-rademacher-complexity-and-its-applications-1401.3441</loc><lastmod>2014-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transductive-rademacher-complexity-and-its-applications-1401.3441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transductive-rademacher-complexity-and-its-applications-1401.3441"/></url>
<url><loc>https://scifaro.com/en/abs/anytime-induction-of-low-cost-low-error-classifiers-a-sampling-based-approach-1401.3447</loc><lastmod>2014-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anytime-induction-of-low-cost-low-error-classifiers-a-sampling-based-approach-1401.3447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anytime-induction-of-low-cost-low-error-classifiers-a-sampling-based-approach-1401.3447"/></url>
<url><loc>https://scifaro.com/en/abs/a-multiagent-reinforcement-learning-algorithm-with-non-linear-dynamics-1401.3454</loc><lastmod>2014-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multiagent-reinforcement-learning-algorithm-with-non-linear-dynamics-1401.3454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multiagent-reinforcement-learning-algorithm-with-non-linear-dynamics-1401.3454"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-markov-network-structure-discovery-using-independence-tests-1401.3478</loc><lastmod>2014-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-markov-network-structure-discovery-using-independence-tests-1401.3478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-markov-network-structure-discovery-using-independence-tests-1401.3478"/></url>
<url><loc>https://scifaro.com/en/abs/highly-comparative-feature-based-time-series-classification-1401.3531</loc><lastmod>2017-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/highly-comparative-feature-based-time-series-classification-1401.3531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/highly-comparative-feature-based-time-series-classification-1401.3531"/></url>
<url><loc>https://scifaro.com/en/abs/an-active-learning-approach-for-jointly-estimating-worker-performance-and-annotation-reliability-with-crowdsourced-data-1401.3836</loc><lastmod>2014-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-active-learning-approach-for-jointly-estimating-worker-performance-and-annotation-reliability-with-crowdsourced-data-1401.3836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-active-learning-approach-for-jointly-estimating-worker-performance-and-annotation-reliability-with-crowdsourced-data-1401.3836"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-make-predictions-in-partially-observable-environments-without-a-generative-model-1401.3870</loc><lastmod>2014-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-make-predictions-in-partially-observable-environments-without-a-generative-model-1401.3870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-make-predictions-in-partially-observable-environments-without-a-generative-model-1401.3870"/></url>
<url><loc>https://scifaro.com/en/abs/properties-of-bethe-free-energies-and-message-passing-in-gaussian-models-1401.3877</loc><lastmod>2014-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/properties-of-bethe-free-energies-and-message-passing-in-gaussian-models-1401.3877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/properties-of-bethe-free-energies-and-message-passing-in-gaussian-models-1401.3877"/></url>
<url><loc>https://scifaro.com/en/abs/regression-conformal-prediction-with-nearest-neighbours-1401.3880</loc><lastmod>2014-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-conformal-prediction-with-nearest-neighbours-1401.3880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-conformal-prediction-with-nearest-neighbours-1401.3880"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-multi-start-strategies-for-local-search-algorithms-1401.3894</loc><lastmod>2014-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-multi-start-strategies-for-local-search-algorithms-1401.3894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-multi-start-strategies-for-local-search-algorithms-1401.3894"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-evaluation-of-similarity-measures-for-time-series-classification-1401.3973</loc><lastmod>2016-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-similarity-measures-for-time-series-classification-1401.3973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-similarity-measures-for-time-series-classification-1401.3973"/></url>
<url><loc>https://scifaro.com/en/abs/towards-the-selection-of-patients-requiring-icd-implantation-by-automatic-classification-from-holter-monitoring-indices-1401.4128</loc><lastmod>2014-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-the-selection-of-patients-requiring-icd-implantation-by-automatic-classification-from-holter-monitoring-indices-1401.4128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-the-selection-of-patients-requiring-icd-implantation-by-automatic-classification-from-holter-monitoring-indices-1401.4128"/></url>
<url><loc>https://scifaro.com/en/abs/convex-optimization-for-binary-classifier-aggregation-in-multiclass-problems-1401.4143</loc><lastmod>2014-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-optimization-for-binary-classifier-aggregation-in-multiclass-problems-1401.4143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-optimization-for-binary-classifier-aggregation-in-multiclass-problems-1401.4143"/></url>
<url><loc>https://scifaro.com/en/abs/excess-risk-bounds-for-exponentially-concave-losses-1401.4566</loc><lastmod>2014-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/excess-risk-bounds-for-exponentially-concave-losses-1401.4566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/excess-risk-bounds-for-exponentially-concave-losses-1401.4566"/></url>
<url><loc>https://scifaro.com/en/abs/a-unifying-framework-for-typical-multi-task-multiple-kernel-learning-problems-1401.5136</loc><lastmod>2014-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unifying-framework-for-typical-multi-task-multiple-kernel-learning-problems-1401.5136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unifying-framework-for-typical-multi-task-multiple-kernel-learning-problems-1401.5136"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-universal-hash-function-generator-for-minhashing-1401.6124</loc><lastmod>2014-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-universal-hash-function-generator-for-minhashing-1401.6124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-universal-hash-function-generator-for-minhashing-1401.6124"/></url>
<url><loc>https://scifaro.com/en/abs/parsimonious-topic-models-with-salient-word-discovery-1401.6169</loc><lastmod>2016-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parsimonious-topic-models-with-salient-word-discovery-1401.6169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parsimonious-topic-models-with-salient-word-discovery-1401.6169"/></url>
<url><loc>https://scifaro.com/en/abs/is-extreme-learning-machine-feasible-a-theoretical-assessment-part-ii-1401.6240</loc><lastmod>2014-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-extreme-learning-machine-feasible-a-theoretical-assessment-part-ii-1401.6240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-extreme-learning-machine-feasible-a-theoretical-assessment-part-ii-1401.6240"/></url>
<url><loc>https://scifaro.com/en/abs/steady-state-performance-of-non-negative-least-mean-square-algorithm-and-its-variants-1401.6376</loc><lastmod>2015-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/steady-state-performance-of-non-negative-least-mean-square-algorithm-and-its-variants-1401.6376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/steady-state-performance-of-non-negative-least-mean-square-algorithm-and-its-variants-1401.6376"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-nearly-as-well-as-the-optimal-twice-differentiable-regressor-1401.6413</loc><lastmod>2014-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-nearly-as-well-as-the-optimal-twice-differentiable-regressor-1401.6413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-nearly-as-well-as-the-optimal-twice-differentiable-regressor-1401.6413"/></url>
<url><loc>https://scifaro.com/en/abs/riffled-independence-for-efficient-inference-with-partial-rankings-1401.6421</loc><lastmod>2014-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riffled-independence-for-efficient-inference-with-partial-rankings-1401.6421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riffled-independence-for-efficient-inference-with-partial-rankings-1401.6421"/></url>
<url><loc>https://scifaro.com/en/abs/toward-supervised-anomaly-detection-1401.6424</loc><lastmod>2014-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-supervised-anomaly-detection-1401.6424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-supervised-anomaly-detection-1401.6424"/></url>
<url><loc>https://scifaro.com/en/abs/towards-unsupervised-learning-of-temporal-relations-between-events-1401.6427</loc><lastmod>2014-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-unsupervised-learning-of-temporal-relations-between-events-1401.6427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-unsupervised-learning-of-temporal-relations-between-events-1401.6427"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-cp-factorization-of-incomplete-tensors-with-automatic-rank-determination-1401.6497</loc><lastmod>2015-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-cp-factorization-of-incomplete-tensors-with-automatic-rank-determination-1401.6497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-cp-factorization-of-incomplete-tensors-with-automatic-rank-determination-1401.6497"/></url>
<url><loc>https://scifaro.com/en/abs/kaldi-pdnn-building-dnn-based-asr-systems-with-kaldi-and-pdnn-1401.6984</loc><lastmod>2014-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kaldi-pdnn-building-dnn-based-asr-systems-with-kaldi-and-pdnn-1401.6984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kaldi-pdnn-building-dnn-based-asr-systems-with-kaldi-and-pdnn-1401.6984"/></url>
<url><loc>https://scifaro.com/en/abs/bounding-embeddings-of-vc-classes-into-maximum-classes-1401.7388</loc><lastmod>2014-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounding-embeddings-of-vc-classes-into-maximum-classes-1401.7388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounding-embeddings-of-vc-classes-into-maximum-classes-1401.7388"/></url>
<url><loc>https://scifaro.com/en/abs/smoothed-low-rank-and-sparse-matrix-recovery-by-iteratively-reweighted-least-squares-minimization-1401.7413</loc><lastmod>2015-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothed-low-rank-and-sparse-matrix-recovery-by-iteratively-reweighted-least-squares-minimization-1401.7413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothed-low-rank-and-sparse-matrix-recovery-by-iteratively-reweighted-least-squares-minimization-1401.7413"/></url>
<url><loc>https://scifaro.com/en/abs/res-regularized-stochastic-bfgs-algorithm-1401.7625</loc><lastmod>2015-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/res-regularized-stochastic-bfgs-algorithm-1401.7625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/res-regularized-stochastic-bfgs-algorithm-1401.7625"/></url>
<url><loc>https://scifaro.com/en/abs/joint-inference-of-multiple-label-types-in-large-networks-1401.7709</loc><lastmod>2014-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-inference-of-multiple-label-types-in-large-networks-1401.7709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-inference-of-multiple-label-types-in-large-networks-1401.7709"/></url>
<url><loc>https://scifaro.com/en/abs/security-evaluation-of-support-vector-machines-in-adversarial-environments-1401.7727</loc><lastmod>2014-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/security-evaluation-of-support-vector-machines-in-adversarial-environments-1401.7727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/security-evaluation-of-support-vector-machines-in-adversarial-environments-1401.7727"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-margin-multiclass-nearest-neighbors-1401.7898</loc><lastmod>2014-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-margin-multiclass-nearest-neighbors-1401.7898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-margin-multiclass-nearest-neighbors-1401.7898"/></url>
<url><loc>https://scifaro.com/en/abs/extrinsic-methods-for-coding-and-dictionary-learning-on-grassmann-manifolds-1401.8126</loc><lastmod>2015-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extrinsic-methods-for-coding-and-dictionary-learning-on-grassmann-manifolds-1401.8126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extrinsic-methods-for-coding-and-dictionary-learning-on-grassmann-manifolds-1401.8126"/></url>
<url><loc>https://scifaro.com/en/abs/online-clustering-of-bandits-1401.8257</loc><lastmod>2014-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-clustering-of-bandits-1401.8257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-clustering-of-bandits-1401.8257"/></url>
<url><loc>https://scifaro.com/en/abs/neural-variational-inference-and-learning-in-belief-networks-1402.0030</loc><lastmod>2016-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-variational-inference-and-learning-in-belief-networks-1402.0030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-variational-inference-and-learning-in-belief-networks-1402.0030"/></url>
<url><loc>https://scifaro.com/en/abs/transductive-learning-with-multi-class-volume-approximation-1402.0288</loc><lastmod>2014-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transductive-learning-with-multi-class-volume-approximation-1402.0288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transductive-learning-with-multi-class-volume-approximation-1402.0288"/></url>
<url><loc>https://scifaro.com/en/abs/a-lower-bound-for-the-variance-of-estimators-for-nakagami-m-distribution-1402.0452</loc><lastmod>2014-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-lower-bound-for-the-variance-of-estimators-for-nakagami-m-distribution-1402.0452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-lower-bound-for-the-variance-of-estimators-for-nakagami-m-distribution-1402.0452"/></url>
<url><loc>https://scifaro.com/en/abs/applying-supervised-learning-algorithms-and-a-new-feature-selection-method-to-predict-coronary-artery-disease-1402.0459</loc><lastmod>2014-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-supervised-learning-algorithms-and-a-new-feature-selection-method-to-predict-coronary-artery-disease-1402.0459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-supervised-learning-algorithms-and-a-new-feature-selection-method-to-predict-coronary-artery-disease-1402.0459"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-gradient-based-inference-through-transformations-between-bayes-nets-and-neural-nets-1402.0480</loc><lastmod>2015-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-gradient-based-inference-through-transformations-between-bayes-nets-and-neural-nets-1402.0480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-gradient-based-inference-through-transformations-between-bayes-nets-and-neural-nets-1402.0480"/></url>
<url><loc>https://scifaro.com/en/abs/taming-the-monster-a-fast-and-simple-algorithm-for-contextual-bandits-1402.0555</loc><lastmod>2014-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taming-the-monster-a-fast-and-simple-algorithm-for-contextual-bandits-1402.0555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taming-the-monster-a-fast-and-simple-algorithm-for-contextual-bandits-1402.0555"/></url>
<url><loc>https://scifaro.com/en/abs/safe-exploration-of-state-and-action-spaces-in-reinforcement-learning-1402.0560</loc><lastmod>2014-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-exploration-of-state-and-action-spaces-in-reinforcement-learning-1402.0560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-exploration-of-state-and-action-spaces-in-reinforcement-learning-1402.0560"/></url>
<url><loc>https://scifaro.com/en/abs/a-feature-subset-selection-algorithm-automatic-recommendation-method-1402.0570</loc><lastmod>2014-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-feature-subset-selection-algorithm-automatic-recommendation-method-1402.0570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-feature-subset-selection-algorithm-automatic-recommendation-method-1402.0570"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-latent-tree-models-and-applications-1402.0577</loc><lastmod>2014-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-latent-tree-models-and-applications-1402.0577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-latent-tree-models-and-applications-1402.0577"/></url>
<url><loc>https://scifaro.com/en/abs/local-gaussian-regression-1402.0645</loc><lastmod>2014-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-gaussian-regression-1402.0645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-gaussian-regression-1402.0645"/></url>
<url><loc>https://scifaro.com/en/abs/unlocbox-a-matlab-convex-optimization-toolbox-for-proximal-splitting-methods-1402.0779</loc><lastmod>2016-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unlocbox-a-matlab-convex-optimization-toolbox-for-proximal-splitting-methods-1402.0779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unlocbox-a-matlab-convex-optimization-toolbox-for-proximal-splitting-methods-1402.0779"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-model-based-ensemble-optimization-1402.0796</loc><lastmod>2014-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-model-based-ensemble-optimization-1402.0796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-model-based-ensemble-optimization-1402.0796"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-joint-object-matching-via-convex-relaxation-1402.1473</loc><lastmod>2015-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-joint-object-matching-via-convex-relaxation-1402.1473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-joint-object-matching-via-convex-relaxation-1402.1473"/></url>
<url><loc>https://scifaro.com/en/abs/dictionary-learning-over-distributed-models-1402.1515</loc><lastmod>2015-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dictionary-learning-over-distributed-models-1402.1515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dictionary-learning-over-distributed-models-1402.1515"/></url>
<url><loc>https://scifaro.com/en/abs/active-clustering-with-model-based-uncertainty-reduction-1402.1783</loc><lastmod>2014-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-clustering-with-model-based-uncertainty-reduction-1402.1783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-clustering-with-model-based-uncertainty-reduction-1402.1783"/></url>
<url><loc>https://scifaro.com/en/abs/binary-excess-risk-for-smooth-convex-surrogates-1402.1792</loc><lastmod>2014-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-excess-risk-for-smooth-convex-surrogates-1402.1792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-excess-risk-for-smooth-convex-surrogates-1402.1792"/></url>
<url><loc>https://scifaro.com/en/abs/an-inequality-with-applications-to-structured-sparsity-and-multitask-dictionary-learning-1402.1864</loc><lastmod>2014-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-inequality-with-applications-to-structured-sparsity-and-multitask-dictionary-learning-1402.1864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-inequality-with-applications-to-structured-sparsity-and-multitask-dictionary-learning-1402.1864"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-loss-for-multiclass-and-structured-prediction-1402.1921</loc><lastmod>2014-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-loss-for-multiclass-and-structured-prediction-1402.1921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-loss-for-multiclass-and-structured-prediction-1402.1921"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimally-teaching-the-crowd-to-classify-1402.2092</loc><lastmod>2014-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimally-teaching-the-crowd-to-classify-1402.2092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimally-teaching-the-crowd-to-classify-1402.2092"/></url>
<url><loc>https://scifaro.com/en/abs/feature-and-variable-selection-in-classification-1402.2300</loc><lastmod>2014-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-and-variable-selection-in-classification-1402.2300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-and-variable-selection-in-classification-1402.2300"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-sequential-data-using-higher-order-relational-features-and-predictive-training-1402.2333</loc><lastmod>2014-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-sequential-data-using-higher-order-relational-features-and-predictive-training-1402.2333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-sequential-data-using-higher-order-relational-features-and-predictive-training-1402.2333"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learner-for-automated-reasoning-0-4-and-0-5-1402.2359</loc><lastmod>2014-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learner-for-automated-reasoning-0-4-and-0-5-1402.2359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learner-for-automated-reasoning-0-4-and-0-5-1402.2359"/></url>
<url><loc>https://scifaro.com/en/abs/on-zeroth-order-stochastic-convex-optimization-via-random-walks-1402.2667</loc><lastmod>2014-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-zeroth-order-stochastic-convex-optimization-via-random-walks-1402.2667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-zeroth-order-stochastic-convex-optimization-via-random-walks-1402.2667"/></url>
<url><loc>https://scifaro.com/en/abs/indian-buffet-process-deep-generative-models-for-semi-supervised-classification-1402.3427</loc><lastmod>2018-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/indian-buffet-process-deep-generative-models-for-semi-supervised-classification-1402.3427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/indian-buffet-process-deep-generative-models-for-semi-supervised-classification-1402.3427"/></url>
<url><loc>https://scifaro.com/en/abs/performance-evaluation-of-machine-learning-classifiers-in-sentiment-mining-1402.3891</loc><lastmod>2014-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-evaluation-of-machine-learning-classifiers-in-sentiment-mining-1402.3891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-evaluation-of-machine-learning-classifiers-in-sentiment-mining-1402.3891"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-polynomial-learning-and-graph-sketching-1402.3902</loc><lastmod>2014-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-polynomial-learning-and-graph-sketching-1402.3902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-polynomial-learning-and-graph-sketching-1402.3902"/></url>
<url><loc>https://scifaro.com/en/abs/selective-sampling-with-drift-1402.4084</loc><lastmod>2014-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-sampling-with-drift-1402.4084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-sampling-with-drift-1402.4084"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-model-of-node-interaction-in-networks-1402.4279</loc><lastmod>2015-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-model-of-node-interaction-in-networks-1402.4279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-model-of-node-interaction-in-networks-1402.4279"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-properties-of-alpha-unchaining-single-linkage-hierarchical-clustering-1402.4322</loc><lastmod>2014-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-properties-of-alpha-unchaining-single-linkage-hierarchical-clustering-1402.4322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-properties-of-alpha-unchaining-single-linkage-hierarchical-clustering-1402.4322"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-srl-with-optimization-modulo-theories-1402.4354</loc><lastmod>2014-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-srl-with-optimization-modulo-theories-1402.4354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-srl-with-optimization-modulo-theories-1402.4354"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-irreducible-representations-of-commutative-lie-groups-1402.4437</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-irreducible-representations-of-commutative-lie-groups-1402.4437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-irreducible-representations-of-commutative-lie-groups-1402.4437"/></url>
<url><loc>https://scifaro.com/en/abs/classification-with-sparse-overlapping-groups-1402.4512</loc><lastmod>2014-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-with-sparse-overlapping-groups-1402.4512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-with-sparse-overlapping-groups-1402.4512"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-ranking-of-multi-attribute-objects-based-on-principal-curves-1402.4542</loc><lastmod>2014-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-ranking-of-multi-attribute-objects-based-on-principal-curves-1402.4542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-ranking-of-multi-attribute-objects-based-on-principal-curves-1402.4542"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-semi-supervised-learning-techniques-1402.4645</loc><lastmod>2014-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-semi-supervised-learning-techniques-1402.4645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-semi-supervised-learning-techniques-1402.4645"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-sample-estimators-for-spherical-gaussian-mixtures-1402.4746</loc><lastmod>2014-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-sample-estimators-for-spherical-gaussian-mixtures-1402.4746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-sample-estimators-for-spherical-gaussian-mixtures-1402.4746"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-learning-with-partial-information-1402.4844</loc><lastmod>2016-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-learning-with-partial-information-1402.4844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-learning-with-partial-information-1402.4844"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-least-mean-square-simulations-1402.4845</loc><lastmod>2014-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-least-mean-square-simulations-1402.4845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-least-mean-square-simulations-1402.4845"/></url>
<url><loc>https://scifaro.com/en/abs/a-quasi-newton-method-for-large-scale-support-vector-machines-1402.4861</loc><lastmod>2014-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-quasi-newton-method-for-large-scale-support-vector-machines-1402.4861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-quasi-newton-method-for-large-scale-support-vector-machines-1402.4861"/></url>
<url><loc>https://scifaro.com/en/abs/group-sparse-matrix-recovery-1402.5077</loc><lastmod>2014-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-sparse-matrix-recovery-1402.5077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-sparse-matrix-recovery-1402.5077"/></url>
<url><loc>https://scifaro.com/en/abs/multi-step-stochastic-admm-in-high-dimensions-applications-to-sparse-optimization-and-noisy-matrix-decomposition-1402.5131</loc><lastmod>2015-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-step-stochastic-admm-in-high-dimensions-applications-to-sparse-optimization-and-noisy-matrix-decomposition-1402.5131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-step-stochastic-admm-in-high-dimensions-applications-to-sparse-optimization-and-noisy-matrix-decomposition-1402.5131"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-independent-reliable-learning-1402.5164</loc><lastmod>2014-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-independent-reliable-learning-1402.5164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-independent-reliable-learning-1402.5164"/></url>
<url><loc>https://scifaro.com/en/abs/guaranteed-non-orthogonal-tensor-decomposition-via-alternating-rank-1-updates-1402.5180</loc><lastmod>2015-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guaranteed-non-orthogonal-tensor-decomposition-via-alternating-rank-1-updates-1402.5180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guaranteed-non-orthogonal-tensor-decomposition-via-alternating-rank-1-updates-1402.5180"/></url>
<url><loc>https://scifaro.com/en/abs/important-molecular-descriptors-selection-using-self-tuned-reweighted-sampling-method-for-prediction-of-antituberculosis-activity-1402.5360</loc><lastmod>2014-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/important-molecular-descriptors-selection-using-self-tuned-reweighted-sampling-method-for-prediction-of-antituberculosis-activity-1402.5360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/important-molecular-descriptors-selection-using-self-tuned-reweighted-sampling-method-for-prediction-of-antituberculosis-activity-1402.5360"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-semidefinite-spectral-clustering-via-lagrange-duality-1402.5497</loc><lastmod>2014-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-semidefinite-spectral-clustering-via-lagrange-duality-1402.5497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-semidefinite-spectral-clustering-via-lagrange-duality-1402.5497"/></url>
<url><loc>https://scifaro.com/en/abs/to-go-deep-or-wide-in-learning-1402.5634</loc><lastmod>2014-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-go-deep-or-wide-in-learning-1402.5634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-go-deep-or-wide-in-learning-1402.5634"/></url>
<url><loc>https://scifaro.com/en/abs/bandits-with-concave-rewards-and-convex-knapsacks-1402.5758</loc><lastmod>2014-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandits-with-concave-rewards-and-convex-knapsacks-1402.5758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandits-with-concave-rewards-and-convex-knapsacks-1402.5758"/></url>
<url><loc>https://scifaro.com/en/abs/no-more-meta-parameter-tuning-in-unsupervised-sparse-feature-learning-1402.5766</loc><lastmod>2014-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-more-meta-parameter-tuning-in-unsupervised-sparse-feature-learning-1402.5766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-more-meta-parameter-tuning-in-unsupervised-sparse-feature-learning-1402.5766"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-interval-models-for-non-parametric-regression-1402.5874</loc><lastmod>2016-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-interval-models-for-non-parametric-regression-1402.5874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-interval-models-for-non-parametric-regression-1402.5874"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-bayesian-active-learning-for-decision-making-1402.5886</loc><lastmod>2014-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-bayesian-active-learning-for-decision-making-1402.5886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-bayesian-active-learning-for-decision-making-1402.5886"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-learning-of-event-definitions-with-inductive-logic-programming-1402.5988</loc><lastmod>2014-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-learning-of-event-definitions-with-inductive-logic-programming-1402.5988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-learning-of-event-definitions-with-inductive-logic-programming-1402.5988"/></url>
<url><loc>https://scifaro.com/en/abs/open-science-in-machine-learning-1402.6013</loc><lastmod>2014-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-science-in-machine-learning-1402.6013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-science-in-machine-learning-1402.6013"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-at-scale-1402.6076</loc><lastmod>2014-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-at-scale-1402.6076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-at-scale-1402.6076"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-logic-boosting-1402.6077</loc><lastmod>2014-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-logic-boosting-1402.6077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-logic-boosting-1402.6077"/></url>
<url><loc>https://scifaro.com/en/abs/renewable-energy-prediction-using-weather-forecasts-for-optimal-scheduling-in-hpc-systems-1402.6552</loc><lastmod>2014-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/renewable-energy-prediction-using-weather-forecasts-for-optimal-scheduling-in-hpc-systems-1402.6552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/renewable-energy-prediction-using-weather-forecasts-for-optimal-scheduling-in-hpc-systems-1402.6552"/></url>
<url><loc>https://scifaro.com/en/abs/resourceful-contextual-bandits-1402.6779</loc><lastmod>2015-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resourceful-contextual-bandits-1402.6779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resourceful-contextual-bandits-1402.6779"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-detection-using-improved-genetic-k-means-1402.6859</loc><lastmod>2014-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-detection-using-improved-genetic-k-means-1402.6859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-detection-using-improved-genetic-k-means-1402.6859"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-methods-for-nonnegative-matrix-factorizations-of-near-separable-tall-and-skinny-matrices-1402.6964</loc><lastmod>2018-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-methods-for-nonnegative-matrix-factorizations-of-near-separable-tall-and-skinny-matrices-1402.6964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-methods-for-nonnegative-matrix-factorizations-of-near-separable-tall-and-skinny-matrices-1402.6964"/></url>
<url><loc>https://scifaro.com/en/abs/marginalizing-corrupted-features-1402.7001</loc><lastmod>2014-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginalizing-corrupted-features-1402.7001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginalizing-corrupted-features-1402.7001"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-the-statistics-of-learning-and-inference-1402.7025</loc><lastmod>2014-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-the-statistics-of-learning-and-inference-1402.7025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-the-statistics-of-learning-and-inference-1402.7025"/></url>
<url><loc>https://scifaro.com/en/abs/an-incidence-geometry-approach-to-dictionary-learning-1402.7344</loc><lastmod>2015-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-incidence-geometry-approach-to-dictionary-learning-1402.7344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-incidence-geometry-approach-to-dictionary-learning-1402.7344"/></url>
<url><loc>https://scifaro.com/en/abs/sleep-analytics-and-online-selective-anomaly-detection-1403.0156</loc><lastmod>2014-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sleep-analytics-and-online-selective-anomaly-detection-1403.0156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sleep-analytics-and-online-selective-anomaly-detection-1403.0156"/></url>
<url><loc>https://scifaro.com/en/abs/network-traffic-decomposition-for-anomaly-detection-1403.0157</loc><lastmod>2014-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-traffic-decomposition-for-anomaly-detection-1403.0157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-traffic-decomposition-for-anomaly-detection-1403.0157"/></url>
<url><loc>https://scifaro.com/en/abs/support-vector-machine-model-for-currency-crisis-discrimination-1403.0481</loc><lastmod>2014-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-vector-machine-model-for-currency-crisis-discrimination-1403.0481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-vector-machine-model-for-currency-crisis-discrimination-1403.0481"/></url>
<url><loc>https://scifaro.com/en/abs/the-structurally-smoothed-graphlet-kernel-1403.0598</loc><lastmod>2014-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-structurally-smoothed-graphlet-kernel-1403.0598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-structurally-smoothed-graphlet-kernel-1403.0598"/></url>
<url><loc>https://scifaro.com/en/abs/unconstrained-online-linear-learning-in-hilbert-spaces-minimax-algorithms-and-normal-approximations-1403.0628</loc><lastmod>2014-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unconstrained-online-linear-learning-in-hilbert-spaces-minimax-algorithms-and-normal-approximations-1403.0628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unconstrained-online-linear-learning-in-hilbert-spaces-minimax-algorithms-and-normal-approximations-1403.0628"/></url>
<url><loc>https://scifaro.com/en/abs/the-hidden-convexity-of-spectral-clustering-1403.0667</loc><lastmod>2016-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-hidden-convexity-of-spectral-clustering-1403.0667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-hidden-convexity-of-spectral-clustering-1403.0667"/></url>
<url><loc>https://scifaro.com/en/abs/inducing-language-networks-from-continuous-space-word-representations-1403.1252</loc><lastmod>2014-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inducing-language-networks-from-continuous-space-word-representations-1403.1252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inducing-language-networks-from-continuous-space-word-representations-1403.1252"/></url>
<url><loc>https://scifaro.com/en/abs/integer-programming-relaxations-for-integrated-clustering-and-outlier-detection-1403.1329</loc><lastmod>2014-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integer-programming-relaxations-for-integrated-clustering-and-outlier-detection-1403.1329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integer-programming-relaxations-for-integrated-clustering-and-outlier-detection-1403.1329"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-principal-component-analysis-via-rotation-and-truncation-1403.1430</loc><lastmod>2014-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-principal-component-analysis-via-rotation-and-truncation-1403.1430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-principal-component-analysis-via-rotation-and-truncation-1403.1430"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-structure-learning-towards-a-robust-smart-grid-1403.1863</loc><lastmod>2014-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-structure-learning-towards-a-robust-smart-grid-1403.1863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-structure-learning-towards-a-robust-smart-grid-1403.1863"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-estimation-and-optimization-of-click-metrics-for-search-engines-1403.1891</loc><lastmod>2014-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-estimation-and-optimization-of-click-metrics-for-search-engines-1403.1891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-estimation-and-optimization-of-click-metrics-for-search-engines-1403.1891"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-overlapping-co-clustering-1403.1942</loc><lastmod>2014-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-overlapping-co-clustering-1403.1942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-overlapping-co-clustering-1403.1942"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-ensemble-based-on-variable-pairwise-constraint-projection-1403.1944</loc><lastmod>2014-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-ensemble-based-on-variable-pairwise-constraint-projection-1403.1944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-ensemble-based-on-variable-pairwise-constraint-projection-1403.1944"/></url>
<url><loc>https://scifaro.com/en/abs/improving-performance-of-a-group-of-classification-algorithms-using-resampling-and-feature-selection-1403.1946</loc><lastmod>2014-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-performance-of-a-group-of-classification-algorithms-using-resampling-and-feature-selection-1403.1946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-performance-of-a-group-of-classification-algorithms-using-resampling-and-feature-selection-1403.1946"/></url>
<url><loc>https://scifaro.com/en/abs/combination-of-pca-with-smote-resampling-to-boost-the-prediction-rate-in-lung-cancer-dataset-1403.1949</loc><lastmod>2014-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combination-of-pca-with-smote-resampling-to-boost-the-prediction-rate-in-lung-cancer-dataset-1403.1949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combination-of-pca-with-smote-resampling-to-boost-the-prediction-rate-in-lung-cancer-dataset-1403.1949"/></url>
<url><loc>https://scifaro.com/en/abs/categorization-axioms-for-clustering-results-1403.2065</loc><lastmod>2016-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/categorization-axioms-for-clustering-results-1403.2065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/categorization-axioms-for-clustering-results-1403.2065"/></url>
<url><loc>https://scifaro.com/en/abs/sublinear-models-for-graphs-1403.2295</loc><lastmod>2014-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sublinear-models-for-graphs-1403.2295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sublinear-models-for-graphs-1403.2295"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-feature-selection-method-to-improve-performance-of-a-group-of-classification-algorithms-1403.2372</loc><lastmod>2014-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-feature-selection-method-to-improve-performance-of-a-group-of-classification-algorithms-1403.2372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-feature-selection-method-to-improve-performance-of-a-group-of-classification-algorithms-1403.2372"/></url>
<url><loc>https://scifaro.com/en/abs/generalised-mixability-constant-regret-and-bayesian-updating-1403.2433</loc><lastmod>2014-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalised-mixability-constant-regret-and-bayesian-updating-1403.2433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalised-mixability-constant-regret-and-bayesian-updating-1403.2433"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-across-networks-for-collective-classification-1403.2484</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-across-networks-for-collective-classification-1403.2484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-across-networks-for-collective-classification-1403.2484"/></url>
<url><loc>https://scifaro.com/en/abs/flying-insect-classification-with-inexpensive-sensors-1403.2654</loc><lastmod>2014-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flying-insect-classification-with-inexpensive-sensors-1403.2654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flying-insect-classification-with-inexpensive-sensors-1403.2654"/></url>
<url><loc>https://scifaro.com/en/abs/cancer-prognosis-prediction-using-balanced-stratified-sampling-1403.2950</loc><lastmod>2014-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cancer-prognosis-prediction-using-balanced-stratified-sampling-1403.2950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cancer-prognosis-prediction-using-balanced-stratified-sampling-1403.2950"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-decision-making-for-optimal-budget-allocation-in-crowd-labeling-1403.3080</loc><lastmod>2014-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-decision-making-for-optimal-budget-allocation-in-crowd-labeling-1403.3080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-decision-making-for-optimal-budget-allocation-in-crowd-labeling-1403.3080"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-and-robust-construction-of-topical-hierarchies-1403.3460</loc><lastmod>2014-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-and-robust-construction-of-topical-hierarchies-1403.3460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-and-robust-construction-of-topical-hierarchies-1403.3460"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-algorithms-and-analysis-for-adaptive-online-learning-1403.3465</loc><lastmod>2015-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-algorithms-and-analysis-for-adaptive-online-learning-1403.3465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-algorithms-and-analysis-for-adaptive-online-learning-1403.3465"/></url>
<url><loc>https://scifaro.com/en/abs/making-risk-minimization-tolerant-to-label-noise-1403.3610</loc><lastmod>2015-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-risk-minimization-tolerant-to-label-noise-1403.3610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-risk-minimization-tolerant-to-label-noise-1403.3610"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-norm-regularization-for-brain-decoding-1403.3628</loc><lastmod>2014-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-norm-regularization-for-brain-decoding-1403.3628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-norm-regularization-for-brain-decoding-1403.3628"/></url>
<url><loc>https://scifaro.com/en/abs/learning-negative-mixture-models-by-tensor-decompositions-1403.4224</loc><lastmod>2014-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-negative-mixture-models-by-tensor-decompositions-1403.4224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-negative-mixture-models-by-tensor-decompositions-1403.4224"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-clustering-with-jensen-type-kernels-and-their-multi-point-extensions-1403.4378</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-clustering-with-jensen-type-kernels-and-their-multi-point-extensions-1403.4378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-clustering-with-jensen-type-kernels-and-their-multi-point-extensions-1403.4378"/></url>
<url><loc>https://scifaro.com/en/abs/similarity-networks-for-classification-a-case-study-in-the-horse-colic-problem-1403.4540</loc><lastmod>2014-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/similarity-networks-for-classification-a-case-study-in-the-horse-colic-problem-1403.4540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/similarity-networks-for-classification-a-case-study-in-the-horse-colic-problem-1403.4540"/></url>
<url><loc>https://scifaro.com/en/abs/a-split-and-merge-dictionary-learning-algorithm-for-sparse-representation-1403.4781</loc><lastmod>2014-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-split-and-merge-dictionary-learning-algorithm-for-sparse-representation-1403.4781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-split-and-merge-dictionary-learning-algorithm-for-sparse-representation-1403.4781"/></url>
<url><loc>https://scifaro.com/en/abs/matroid-bandits-fast-combinatorial-optimization-with-learning-1403.5045</loc><lastmod>2015-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matroid-bandits-fast-combinatorial-optimization-with-learning-1403.5045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matroid-bandits-fast-combinatorial-optimization-with-learning-1403.5045"/></url>
<url><loc>https://scifaro.com/en/abs/unconfused-ultraconservative-multiclass-algorithms-1403.5115</loc><lastmod>2014-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unconfused-ultraconservative-multiclass-algorithms-1403.5115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unconfused-ultraconservative-multiclass-algorithms-1403.5115"/></url>
<url><loc>https://scifaro.com/en/abs/online-local-learning-via-semidefinite-programming-1403.5287</loc><lastmod>2014-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-local-learning-via-semidefinite-programming-1403.5287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-local-learning-via-semidefinite-programming-1403.5287"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-theoretic-analysis-of-thompson-sampling-1403.5341</loc><lastmod>2015-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-theoretic-analysis-of-thompson-sampling-1403.5341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-theoretic-analysis-of-thompson-sampling-1403.5341"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-optimize-via-information-directed-sampling-1403.5556</loc><lastmod>2017-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-optimize-via-information-directed-sampling-1403.5556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-optimize-via-information-directed-sampling-1403.5556"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-popularity-of-videos-using-social-media-1403.5603</loc><lastmod>2015-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-popularity-of-videos-using-social-media-1403.5603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-popularity-of-videos-using-social-media-1403.5603"/></url>
<url><loc>https://scifaro.com/en/abs/cur-algorithm-with-incomplete-matrix-observation-1403.5647</loc><lastmod>2014-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cur-algorithm-with-incomplete-matrix-observation-1403.5647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cur-algorithm-with-incomplete-matrix-observation-1403.5647"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-topic-coherence-measures-1403.6397</loc><lastmod>2014-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-topic-coherence-measures-1403.6397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-topic-coherence-measures-1403.6397"/></url>
<url><loc>https://scifaro.com/en/abs/variance-constrained-actor-critic-algorithms-for-discounted-and-average-reward-mdps-1403.6530</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-constrained-actor-critic-algorithms-for-discounted-and-average-reward-mdps-1403.6530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-constrained-actor-critic-algorithms-for-discounted-and-average-reward-mdps-1403.6530"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-multi-agent-and-single-agent-inverse-learning-on-a-simulated-soccer-example-1403.6822</loc><lastmod>2014-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-multi-agent-and-single-agent-inverse-learning-on-a-simulated-soccer-example-1403.6822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-multi-agent-and-single-agent-inverse-learning-on-a-simulated-soccer-example-1403.6822"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-of-k-cnf-boolean-functions-1403.6863</loc><lastmod>2014-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-of-k-cnf-boolean-functions-1403.6863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-of-k-cnf-boolean-functions-1403.6863"/></url>
<url><loc>https://scifaro.com/en/abs/closed-form-training-of-conditional-random-fields-for-large-scale-image-segmentation-1403.7057</loc><lastmod>2014-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/closed-form-training-of-conditional-random-fields-for-large-scale-image-segmentation-1403.7057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/closed-form-training-of-conditional-random-fields-for-large-scale-image-segmentation-1403.7057"/></url>
<url><loc>https://scifaro.com/en/abs/conclusions-from-a-naive-bayes-operator-predicting-the-medicare-2011-transaction-data-set-1403.7087</loc><lastmod>2014-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conclusions-from-a-naive-bayes-operator-predicting-the-medicare-2011-transaction-data-set-1403.7087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conclusions-from-a-naive-bayes-operator-predicting-the-medicare-2011-transaction-data-set-1403.7087"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-on-cost-behaviors-of-binary-classification-measures-in-class-imbalanced-problems-1403.7100</loc><lastmod>2014-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-on-cost-behaviors-of-binary-classification-measures-in-class-imbalanced-problems-1403.7100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-on-cost-behaviors-of-binary-classification-measures-in-class-imbalanced-problems-1403.7100"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-decentralized-bayesian-inference-1403.7471</loc><lastmod>2014-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-decentralized-bayesian-inference-1403.7471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-decentralized-bayesian-inference-1403.7471"/></url>
<url><loc>https://scifaro.com/en/abs/sharpened-error-bounds-for-random-sampling-based-ell-2-regression-1403.7737</loc><lastmod>2014-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharpened-error-bounds-for-random-sampling-based-ell-2-regression-1403.7737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharpened-error-bounds-for-random-sampling-based-ell-2-regression-1403.7737"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-ferns-for-efficient-recognition-of-musical-instruments-in-recordings-1403.7746</loc><lastmod>2014-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-ferns-for-efficient-recognition-of-musical-instruments-in-recordings-1403.7746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-ferns-for-efficient-recognition-of-musical-instruments-in-recordings-1403.7746"/></url>
<url><loc>https://scifaro.com/en/abs/coding-for-random-projections-and-approximate-near-neighbor-search-1403.8144</loc><lastmod>2014-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coding-for-random-projections-and-approximate-near-neighbor-search-1403.8144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coding-for-random-projections-and-approximate-near-neighbor-search-1403.8144"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-algorithms-and-error-analysis-for-the-modified-nystrom-method-1404.0138</loc><lastmod>2014-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-algorithms-and-error-analysis-for-the-modified-nystrom-method-1404.0138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-algorithms-and-error-analysis-for-the-modified-nystrom-method-1404.0138"/></url>
<url><loc>https://scifaro.com/en/abs/household-electricity-demand-forecasting-benchmarking-state-of-the-art-methods-1404.0200</loc><lastmod>2014-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/household-electricity-demand-forecasting-benchmarking-state-of-the-art-methods-1404.0200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/household-electricity-demand-forecasting-benchmarking-state-of-the-art-methods-1404.0200"/></url>
<url><loc>https://scifaro.com/en/abs/picholesky-polynomial-interpolation-of-multiple-cholesky-factors-for-efficient-approximate-cross-validation-1404.0466</loc><lastmod>2015-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/picholesky-polynomial-interpolation-of-multiple-cholesky-factors-for-efficient-approximate-cross-validation-1404.0466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/picholesky-polynomial-interpolation-of-multiple-cholesky-factors-for-efficient-approximate-cross-validation-1404.0466"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-estimation-and-prediction-technique-for-dynamic-continuous-social-science-models-the-evolution-of-the-attitude-of-the-basque-country-population-towards-eta-as-a-case-study-1404.0649</loc><lastmod>2014-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-estimation-and-prediction-technique-for-dynamic-continuous-social-science-models-the-evolution-of-the-attitude-of-the-basque-country-population-towards-eta-as-a-case-study-1404.0649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-estimation-and-prediction-technique-for-dynamic-continuous-social-science-models-the-evolution-of-the-attitude-of-the-basque-country-population-towards-eta-as-a-case-study-1404.0649"/></url>
<url><loc>https://scifaro.com/en/abs/the-least-wrong-model-is-not-in-the-data-1404.0789</loc><lastmod>2014-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-least-wrong-model-is-not-in-the-data-1404.0789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-least-wrong-model-is-not-in-the-data-1404.0789"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-and-naive-bayes-classifier-1404.0933</loc><lastmod>2014-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-and-naive-bayes-classifier-1404.0933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-and-naive-bayes-classifier-1404.0933"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-support-vector-machines-in-practice-1404.1066</loc><lastmod>2014-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-support-vector-machines-in-practice-1404.1066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-support-vector-machines-in-practice-1404.1066"/></url>
<url><loc>https://scifaro.com/en/abs/a-tutorial-on-principal-component-analysis-1404.1100</loc><lastmod>2014-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-principal-component-analysis-1404.1100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-principal-component-analysis-1404.1100"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-dirichlet-scaling-process-1404.1282</loc><lastmod>2017-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-dirichlet-scaling-process-1404.1282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-dirichlet-scaling-process-1404.1282"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-rank-one-matrix-pursuit-for-low-rank-matrix-completion-1404.1377</loc><lastmod>2014-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-rank-one-matrix-pursuit-for-low-rank-matrix-completion-1404.1377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-rank-one-matrix-pursuit-for-low-rank-matrix-completion-1404.1377"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-feature-selection-in-classification-of-audio-files-1404.1491</loc><lastmod>2014-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-feature-selection-in-classification-of-audio-files-1404.1491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-feature-selection-in-classification-of-audio-files-1404.1491"/></url>
<url><loc>https://scifaro.com/en/abs/a-compression-technique-for-analyzing-disagreement-based-active-learning-1404.1504</loc><lastmod>2014-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-compression-technique-for-analyzing-disagreement-based-active-learning-1404.1504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-compression-technique-for-analyzing-disagreement-based-active-learning-1404.1504"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-power-of-gpu-s-for-training-polyglot-language-models-1404.1521</loc><lastmod>2014-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-power-of-gpu-s-for-training-polyglot-language-models-1404.1521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-power-of-gpu-s-for-training-polyglot-language-models-1404.1521"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-coding-a-deep-learning-using-unlabeled-data-for-high-level-representation-1404.1559</loc><lastmod>2014-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-coding-a-deep-learning-using-unlabeled-data-for-high-level-representation-1404.1559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-coding-a-deep-learning-using-unlabeled-data-for-high-level-representation-1404.1559"/></url>
<url><loc>https://scifaro.com/en/abs/optimistic-risk-perception-in-the-temporal-difference-error-explains-the-relation-between-risk-taking-gambling-sensation-seeking-and-low-fear-1404.2078</loc><lastmod>2015-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimistic-risk-perception-in-the-temporal-difference-error-explains-the-relation-between-risk-taking-gambling-sensation-seeking-and-low-fear-1404.2078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimistic-risk-perception-in-the-temporal-difference-error-explains-the-relation-between-risk-taking-gambling-sensation-seeking-and-low-fear-1404.2078"/></url>
<url><loc>https://scifaro.com/en/abs/efficiency-of-conformalized-ridge-regression-1404.2083</loc><lastmod>2014-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiency-of-conformalized-ridge-regression-1404.2083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiency-of-conformalized-ridge-regression-1404.2083"/></url>
<url><loc>https://scifaro.com/en/abs/power-system-parameters-forecasting-using-hilbert-huang-transform-and-machine-learning-1404.2353</loc><lastmod>2014-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-system-parameters-forecasting-using-hilbert-huang-transform-and-machine-learning-1404.2353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-system-parameters-forecasting-using-hilbert-huang-transform-and-machine-learning-1404.2353"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-laplacian-feature-selection-1404.2948</loc><lastmod>2014-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-laplacian-feature-selection-1404.2948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-laplacian-feature-selection-1404.2948"/></url>
<url><loc>https://scifaro.com/en/abs/a-tutorial-on-independent-component-analysis-1404.2986</loc><lastmod>2014-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-independent-component-analysis-1404.2986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-independent-component-analysis-1404.2986"/></url>
<url><loc>https://scifaro.com/en/abs/pareto-path-multi-task-multiple-kernel-learning-1404.3190</loc><lastmod>2014-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pareto-path-multi-task-multiple-kernel-learning-1404.3190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pareto-path-multi-task-multiple-kernel-learning-1404.3190"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-classification-and-the-rare-eclipse-problem-1404.3203</loc><lastmod>2014-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-classification-and-the-rare-eclipse-problem-1404.3203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-classification-and-the-rare-eclipse-problem-1404.3203"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-sample-compression-for-nearest-neighbors-1404.3368</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-sample-compression-for-nearest-neighbors-1404.3368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-sample-compression-for-nearest-neighbors-1404.3368"/></url>
<url><loc>https://scifaro.com/en/abs/complexity-theoretic-limitations-on-learning-dnf-s-1404.3378</loc><lastmod>2014-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complexity-theoretic-limitations-on-learning-dnf-s-1404.3378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complexity-theoretic-limitations-on-learning-dnf-s-1404.3378"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-version-of-the-support-vector-machine-for-binary-classification-problems-supporting-hyperplane-machine-1404.3415</loc><lastmod>2014-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-version-of-the-support-vector-machine-for-binary-classification-problems-supporting-hyperplane-machine-1404.3415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-version-of-the-support-vector-machine-for-binary-classification-problems-supporting-hyperplane-machine-1404.3415"/></url>
<url><loc>https://scifaro.com/en/abs/methods-for-ordinal-peer-grading-1404.3656</loc><lastmod>2014-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/methods-for-ordinal-peer-grading-1404.3656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/methods-for-ordinal-peer-grading-1404.3656"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-and-exploiting-entailment-relationships-in-multi-label-learning-1404.4038</loc><lastmod>2014-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-and-exploiting-entailment-relationships-in-multi-label-learning-1404.4038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-and-exploiting-entailment-relationships-in-multi-label-learning-1404.4038"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-classifiers-and-their-applications-a-review-1404.4088</loc><lastmod>2014-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-classifiers-and-their-applications-a-review-1404.4088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-classifiers-and-their-applications-a-review-1404.4088"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-compositional-metric-learning-1404.4105</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-compositional-metric-learning-1404.4105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-compositional-metric-learning-1404.4105"/></url>
<url><loc>https://scifaro.com/en/abs/representation-as-a-service-1404.4108</loc><lastmod>2014-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-as-a-service-1404.4108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-as-a-service-1404.4108"/></url>
<url><loc>https://scifaro.com/en/abs/structured-stochastic-variational-inference-1404.4114</loc><lastmod>2014-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-stochastic-variational-inference-1404.4114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-stochastic-variational-inference-1404.4114"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-training-for-support-vector-machines-1404.4171</loc><lastmod>2014-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-training-for-support-vector-machines-1404.4171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-training-for-support-vector-machines-1404.4171"/></url>
<url><loc>https://scifaro.com/en/abs/stable-graphical-models-1404.4351</loc><lastmod>2014-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-graphical-models-1404.4351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-graphical-models-1404.4351"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-nonnegative-tucker-decompositions-algorithms-and-uniqueness-1404.4412</loc><lastmod>2015-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-nonnegative-tucker-decompositions-algorithms-and-uniqueness-1404.4412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-nonnegative-tucker-decompositions-algorithms-and-uniqueness-1404.4412"/></url>
<url><loc>https://scifaro.com/en/abs/how-many-topics-stability-analysis-for-topic-models-1404.4606</loc><lastmod>2014-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-many-topics-stability-analysis-for-topic-models-1404.4606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-many-topics-stability-analysis-for-topic-models-1404.4606"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-quasi-clustering-methods-for-asymmetric-networks-1404.4655</loc><lastmod>2014-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-quasi-clustering-methods-for-asymmetric-networks-1404.4655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-quasi-clustering-methods-for-asymmetric-networks-1404.4655"/></url>
<url><loc>https://scifaro.com/en/abs/tight-bounds-on-ell-1-approximation-and-learning-of-self-bounding-functions-1404.4702</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-bounds-on-ell-1-approximation-and-learning-of-self-bounding-functions-1404.4702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-bounds-on-ell-1-approximation-and-learning-of-self-bounding-functions-1404.4702"/></url>
<url><loc>https://scifaro.com/en/abs/agent-behavior-prediction-and-its-generalization-analysis-1404.4960</loc><lastmod>2014-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agent-behavior-prediction-and-its-generalization-analysis-1404.4960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agent-behavior-prediction-and-its-generalization-analysis-1404.4960"/></url>
<url><loc>https://scifaro.com/en/abs/tight-bounds-for-learning-a-mixture-of-two-gaussians-1404.4997</loc><lastmod>2015-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-bounds-for-learning-a-mixture-of-two-gaussians-1404.4997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-bounds-for-learning-a-mixture-of-two-gaussians-1404.4997"/></url>
<url><loc>https://scifaro.com/en/abs/multi-target-regression-via-random-linear-target-combinations-1404.5065</loc><lastmod>2015-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-target-regression-via-random-linear-target-combinations-1404.5065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-target-regression-via-random-linear-target-combinations-1404.5065"/></url>
<url><loc>https://scifaro.com/en/abs/graph-kernels-via-functional-embedding-1404.5214</loc><lastmod>2014-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-kernels-via-functional-embedding-1404.5214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-kernels-via-functional-embedding-1404.5214"/></url>
<url><loc>https://scifaro.com/en/abs/concurrent-bandits-and-cognitive-radio-networks-1404.5421</loc><lastmod>2014-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concurrent-bandits-and-cognitive-radio-networks-1404.5421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concurrent-bandits-and-cognitive-radio-networks-1404.5421"/></url>
<url><loc>https://scifaro.com/en/abs/coactive-learning-for-locally-optimal-problem-solving-1404.5511</loc><lastmod>2014-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coactive-learning-for-locally-optimal-problem-solving-1404.5511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coactive-learning-for-locally-optimal-problem-solving-1404.5511"/></url>
<url><loc>https://scifaro.com/en/abs/classifying-pairs-with-trees-for-supervised-biological-network-inference-1404.6074</loc><lastmod>2014-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifying-pairs-with-trees-for-supervised-biological-network-inference-1404.6074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifying-pairs-with-trees-for-supervised-biological-network-inference-1404.6074"/></url>
<url><loc>https://scifaro.com/en/abs/overlapping-trace-norms-in-multi-view-learning-1404.6163</loc><lastmod>2014-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overlapping-trace-norms-in-multi-view-learning-1404.6163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overlapping-trace-norms-in-multi-view-learning-1404.6163"/></url>
<url><loc>https://scifaro.com/en/abs/multitask-learning-for-sequence-labeling-tasks-1404.6580</loc><lastmod>2016-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multitask-learning-for-sequence-labeling-tasks-1404.6580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multitask-learning-for-sequence-labeling-tasks-1404.6580"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-first-order-algorithms-for-machine-learning-1404.6674</loc><lastmod>2014-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-first-order-algorithms-for-machine-learning-1404.6674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-first-order-algorithms-for-machine-learning-1404.6674"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-density-estimation-with-dimensionality-reduction-via-squared-loss-conditional-entropy-minimization-1404.6876</loc><lastmod>2014-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-density-estimation-with-dimensionality-reduction-via-squared-loss-conditional-entropy-minimization-1404.6876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-density-estimation-with-dimensionality-reduction-via-squared-loss-conditional-entropy-minimization-1404.6876"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-graphs-using-coupled-random-variables-1404.6955</loc><lastmod>2015-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-graphs-using-coupled-random-variables-1404.6955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-graphs-using-coupled-random-variables-1404.6955"/></url>
<url><loc>https://scifaro.com/en/abs/fast-approximation-of-rotations-and-hessians-matrices-1404.7195</loc><lastmod>2014-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-approximation-of-rotations-and-hessians-matrices-1404.7195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-approximation-of-rotations-and-hessians-matrices-1404.7195"/></url>
<url><loc>https://scifaro.com/en/abs/meteorological-time-series-forecasting-based-on-mlp-modelling-using-heterogeneous-transfer-functions-1404.7255</loc><lastmod>2015-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meteorological-time-series-forecasting-based-on-mlp-modelling-using-heterogeneous-transfer-functions-1404.7255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meteorological-time-series-forecasting-based-on-mlp-modelling-using-heterogeneous-transfer-functions-1404.7255"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-differentiation-of-algorithms-for-machine-learning-1404.7456</loc><lastmod>2014-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-differentiation-of-algorithms-for-machine-learning-1404.7456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-differentiation-of-algorithms-for-machine-learning-1404.7456"/></url>
<url><loc>https://scifaro.com/en/abs/implementing-spectral-methods-for-hidden-markov-models-with-real-valued-emissions-1404.7472</loc><lastmod>2014-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementing-spectral-methods-for-hidden-markov-models-with-real-valued-emissions-1404.7472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementing-spectral-methods-for-hidden-markov-models-with-real-valued-emissions-1404.7472"/></url>
<url><loc>https://scifaro.com/en/abs/a-map-of-update-constraints-in-inductive-inference-1404.7527</loc><lastmod>2014-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-map-of-update-constraints-in-inductive-inference-1404.7527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-map-of-update-constraints-in-inductive-inference-1404.7527"/></url>
<url><loc>https://scifaro.com/en/abs/geodesic-distance-function-learning-via-heat-flow-on-vector-fields-1405.0133</loc><lastmod>2014-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geodesic-distance-function-learning-via-heat-flow-on-vector-fields-1405.0133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geodesic-distance-function-learning-via-heat-flow-on-vector-fields-1405.0133"/></url>
<url><loc>https://scifaro.com/en/abs/exchangeable-variable-models-1405.0501</loc><lastmod>2014-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exchangeable-variable-models-1405.0501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exchangeable-variable-models-1405.0501"/></url>
<url><loc>https://scifaro.com/en/abs/complexity-of-equivalence-and-learning-for-multiplicity-tree-automata-1405.0514</loc><lastmod>2014-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complexity-of-equivalence-and-learning-for-multiplicity-tree-automata-1405.0514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complexity-of-equivalence-and-learning-for-multiplicity-tree-automata-1405.0514"/></url>
<url><loc>https://scifaro.com/en/abs/on-lipschitz-continuity-and-smoothness-of-loss-functions-in-learning-to-rank-1405.0586</loc><lastmod>2016-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-lipschitz-continuity-and-smoothness-of-loss-functions-in-learning-to-rank-1405.0586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-lipschitz-continuity-and-smoothness-of-loss-functions-in-learning-to-rank-1405.0586"/></url>
<url><loc>https://scifaro.com/en/abs/perceptron-like-algorithms-and-generalization-bounds-for-learning-to-rank-1405.0591</loc><lastmod>2014-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perceptron-like-algorithms-and-generalization-bounds-for-learning-to-rank-1405.0591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perceptron-like-algorithms-and-generalization-bounds-for-learning-to-rank-1405.0591"/></url>
<url><loc>https://scifaro.com/en/abs/on-exact-learning-monotone-dnf-from-membership-queries-1405.0792</loc><lastmod>2014-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-exact-learning-monotone-dnf-from-membership-queries-1405.0792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-exact-learning-monotone-dnf-from-membership-queries-1405.0792"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-risk-aversion-in-stochastic-multi-armed-bandits-1405.0833</loc><lastmod>2014-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-risk-aversion-in-stochastic-multi-armed-bandits-1405.0833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-risk-aversion-in-stochastic-multi-armed-bandits-1405.0833"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-for-classification-with-class-separability-strategy-and-data-envelopment-analysis-1405.1119</loc><lastmod>2015-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-for-classification-with-class-separability-strategy-and-data-envelopment-analysis-1405.1119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-for-classification-with-class-separability-strategy-and-data-envelopment-analysis-1405.1119"/></url>
<url><loc>https://scifaro.com/en/abs/adaptation-algorithm-and-theory-based-on-generalized-discrepancy-1405.1503</loc><lastmod>2015-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptation-algorithm-and-theory-based-on-generalized-discrepancy-1405.1503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptation-algorithm-and-theory-based-on-generalized-discrepancy-1405.1503"/></url>
<url><loc>https://scifaro.com/en/abs/a-mathematical-theory-of-learning-1405.1513</loc><lastmod>2014-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mathematical-theory-of-learning-1405.1513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mathematical-theory-of-learning-1405.1513"/></url>
<url><loc>https://scifaro.com/en/abs/learning-boolean-halfspaces-with-small-weights-from-membership-queries-1405.1535</loc><lastmod>2014-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-boolean-halfspaces-with-small-weights-from-membership-queries-1405.1535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-boolean-halfspaces-with-small-weights-from-membership-queries-1405.1535"/></url>
<url><loc>https://scifaro.com/en/abs/on-communication-cost-of-distributed-statistical-estimation-and-dimensionality-1405.1665</loc><lastmod>2014-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-communication-cost-of-distributed-statistical-estimation-and-dimensionality-1405.1665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-communication-cost-of-distributed-statistical-estimation-and-dimensionality-1405.1665"/></url>
<url><loc>https://scifaro.com/en/abs/improving-image-clustering-using-sparse-text-and-the-wisdom-of-the-crowds-1405.2102</loc><lastmod>2014-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-image-clustering-using-sparse-text-and-the-wisdom-of-the-crowds-1405.2102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-image-clustering-using-sparse-text-and-the-wisdom-of-the-crowds-1405.2102"/></url>
<url><loc>https://scifaro.com/en/abs/hellinger-distance-trees-for-imbalanced-streams-1405.2278</loc><lastmod>2014-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hellinger-distance-trees-for-imbalanced-streams-1405.2278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hellinger-distance-trees-for-imbalanced-streams-1405.2278"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-detection-of-anomalous-data-streams-1405.2294</loc><lastmod>2016-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-detection-of-anomalous-data-streams-1405.2294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-detection-of-anomalous-data-streams-1405.2294"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-learners-for-multiclass-problems-1405.2420</loc><lastmod>2014-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-learners-for-multiclass-problems-1405.2420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-learners-for-multiclass-problems-1405.2420"/></url>
<url><loc>https://scifaro.com/en/abs/a-canonical-semi-deterministic-transducer-1405.2476</loc><lastmod>2016-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-canonical-semi-deterministic-transducer-1405.2476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-canonical-semi-deterministic-transducer-1405.2476"/></url>
<url><loc>https://scifaro.com/en/abs/selecting-near-optimal-approximate-state-representations-in-reinforcement-learning-1405.2652</loc><lastmod>2014-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selecting-near-optimal-approximate-state-representations-in-reinforcement-learning-1405.2652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selecting-near-optimal-approximate-state-representations-in-reinforcement-learning-1405.2652"/></url>
<url><loc>https://scifaro.com/en/abs/two-stage-metric-learning-1405.2798</loc><lastmod>2014-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-stage-metric-learning-1405.2798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-stage-metric-learning-1405.2798"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-hamming-embedding-generalized-lsh-and-the-max-norm-1405.3167</loc><lastmod>2014-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-hamming-embedding-generalized-lsh-and-the-max-norm-1405.3167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-hamming-embedding-generalized-lsh-and-the-max-norm-1405.3167"/></url>
<url><loc>https://scifaro.com/en/abs/locally-boosted-graph-aggregation-for-community-detection-1405.3210</loc><lastmod>2014-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-boosted-graph-aggregation-for-community-detection-1405.3210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-boosted-graph-aggregation-for-community-detection-1405.3210"/></url>
<url><loc>https://scifaro.com/en/abs/rate-of-convergence-and-error-bounds-for-lstd-lambda-1405.3229</loc><lastmod>2014-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rate-of-convergence-and-error-bounds-for-lstd-lambda-1405.3229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rate-of-convergence-and-error-bounds-for-lstd-lambda-1405.3229"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-exploration-exploitation-in-a-multi-armed-bandit-problem-with-non-stationary-rewards-1405.3316</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-exploration-exploitation-in-a-multi-armed-bandit-problem-with-non-stationary-rewards-1405.3316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-exploration-exploitation-in-a-multi-armed-bandit-problem-with-non-stationary-rewards-1405.3316"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-dueling-bandits-to-cardinal-bandits-1405.3396</loc><lastmod>2014-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-dueling-bandits-to-cardinal-bandits-1405.3396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-dueling-bandits-to-cardinal-bandits-1405.3396"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-classification-using-parallel-and-scalable-compressed-model-and-its-application-on-intrusion-detection-1405.3410</loc><lastmod>2014-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-classification-using-parallel-and-scalable-compressed-model-and-its-application-on-intrusion-detection-1405.3410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-classification-using-parallel-and-scalable-compressed-model-and-its-application-on-intrusion-detection-1405.3410"/></url>
<url><loc>https://scifaro.com/en/abs/logistic-regression-tight-bounds-for-stochastic-and-online-optimization-1405.3843</loc><lastmod>2014-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logistic-regression-tight-bounds-for-stochastic-and-online-optimization-1405.3843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logistic-regression-tight-bounds-for-stochastic-and-online-optimization-1405.3843"/></url>
<url><loc>https://scifaro.com/en/abs/active-semi-supervised-learning-using-sampling-theory-for-graph-signals-1405.4324</loc><lastmod>2014-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-semi-supervised-learning-using-sampling-theory-for-graph-signals-1405.4324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-semi-supervised-learning-using-sampling-theory-for-graph-signals-1405.4324"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-functionally-related-enzymes-by-learning-to-rank-methods-1405.4394</loc><lastmod>2014-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-functionally-related-enzymes-by-learning-to-rank-methods-1405.4394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-functionally-related-enzymes-by-learning-to-rank-methods-1405.4394"/></url>
<url><loc>https://scifaro.com/en/abs/a-two-step-learning-approach-for-solving-full-and-almost-full-cold-start-problems-in-dyadic-prediction-1405.4423</loc><lastmod>2014-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-two-step-learning-approach-for-solving-full-and-almost-full-cold-start-problems-in-dyadic-prediction-1405.4423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-two-step-learning-approach-for-solving-full-and-almost-full-cold-start-problems-in-dyadic-prediction-1405.4423"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-composite-loss-functions-1405.4471</loc><lastmod>2014-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-composite-loss-functions-1405.4471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-composite-loss-functions-1405.4471"/></url>
<url><loc>https://scifaro.com/en/abs/a-distributed-algorithm-for-training-nonlinear-kernel-machines-1405.4543</loc><lastmod>2014-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributed-algorithm-for-training-nonlinear-kernel-machines-1405.4543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributed-algorithm-for-training-nonlinear-kernel-machines-1405.4543"/></url>
<url><loc>https://scifaro.com/en/abs/a-distributed-block-coordinate-descent-method-for-training-l-1-regularized-linear-classifiers-1405.4544</loc><lastmod>2016-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributed-block-coordinate-descent-method-for-training-l-1-regularized-linear-classifiers-1405.4544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributed-block-coordinate-descent-method-for-training-l-1-regularized-linear-classifiers-1405.4544"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-saddle-point-problem-for-non-convex-optimization-1405.4604</loc><lastmod>2014-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-saddle-point-problem-for-non-convex-optimization-1405.4604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-saddle-point-problem-for-non-convex-optimization-1405.4604"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitz-bandits-regret-lower-bounds-and-optimal-algorithms-1405.4758</loc><lastmod>2014-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitz-bandits-regret-lower-bounds-and-optimal-algorithms-1405.4758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitz-bandits-regret-lower-bounds-and-optimal-algorithms-1405.4758"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-semidefinite-relaxation-for-maximum-a-posterior-estimation-1405.4807</loc><lastmod>2015-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-semidefinite-relaxation-for-maximum-a-posterior-estimation-1405.4807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-semidefinite-relaxation-for-maximum-a-posterior-estimation-1405.4807"/></url>
<url><loc>https://scifaro.com/en/abs/screening-tests-for-lasso-problems-1405.4897</loc><lastmod>2016-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/screening-tests-for-lasso-problems-1405.4897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/screening-tests-for-lasso-problems-1405.4897"/></url>
<url><loc>https://scifaro.com/en/abs/unimodal-bandits-regret-lower-bounds-and-optimal-algorithms-1405.5096</loc><lastmod>2014-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unimodal-bandits-regret-lower-bounds-and-optimal-algorithms-1405.5096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unimodal-bandits-regret-lower-bounds-and-optimal-algorithms-1405.5096"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-online-video-engagement-using-clickstreams-1405.5147</loc><lastmod>2014-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-online-video-engagement-using-clickstreams-1405.5147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-online-video-engagement-using-clickstreams-1405.5147"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-approximation-of-collective-graphical-models-1405.5156</loc><lastmod>2014-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-approximation-of-collective-graphical-models-1405.5156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-approximation-of-collective-graphical-models-1405.5156"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-resilience-monotonicity-and-the-complexity-of-agnostic-learning-1405.5268</loc><lastmod>2014-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-resilience-monotonicity-and-the-complexity-of-agnostic-learning-1405.5268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-resilience-monotonicity-and-the-complexity-of-agnostic-learning-1405.5268"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-generate-networks-1405.5868</loc><lastmod>2014-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-generate-networks-1405.5868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-generate-networks-1405.5868"/></url>
<url><loc>https://scifaro.com/en/abs/lass-a-simple-assignment-model-with-laplacian-smoothing-1405.5960</loc><lastmod>2014-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lass-a-simple-assignment-model-with-laplacian-smoothing-1405.5960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lass-a-simple-assignment-model-with-laplacian-smoothing-1405.5960"/></url>
<url><loc>https://scifaro.com/en/abs/online-linear-optimization-via-smoothing-1405.6076</loc><lastmod>2014-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-linear-optimization-via-smoothing-1405.6076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-linear-optimization-via-smoothing-1405.6076"/></url>
<url><loc>https://scifaro.com/en/abs/coupled-item-based-matrix-factorization-1405.6223</loc><lastmod>2014-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupled-item-based-matrix-factorization-1405.6223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupled-item-based-matrix-factorization-1405.6223"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-dimensionality-reduction-in-linear-classification-1405.6444</loc><lastmod>2014-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-dimensionality-reduction-in-linear-classification-1405.6444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-dimensionality-reduction-in-linear-classification-1405.6444"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-random-forest-with-self-organising-map-1405.6684</loc><lastmod>2014-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-random-forest-with-self-organising-map-1405.6684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-random-forest-with-self-organising-map-1405.6684"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-reinforcement-learning-a-new-theory-of-sequential-decision-making-in-primal-dual-spaces-1405.6757</loc><lastmod>2014-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-reinforcement-learning-a-new-theory-of-sequential-decision-making-in-primal-dual-spaces-1405.6757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-reinforcement-learning-a-new-theory-of-sequential-decision-making-in-primal-dual-spaces-1405.6757"/></url>
<url><loc>https://scifaro.com/en/abs/agnostic-learning-of-disjunctions-on-symmetric-distributions-1405.6791</loc><lastmod>2015-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agnostic-learning-of-disjunctions-on-symmetric-distributions-1405.6791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agnostic-learning-of-disjunctions-on-symmetric-distributions-1405.6791"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-large-margin-classification-using-indefinite-similarity-measures-1405.6922</loc><lastmod>2014-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-large-margin-classification-using-indefinite-similarity-measures-1405.6922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-large-margin-classification-using-indefinite-similarity-measures-1405.6922"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-empirical-risk-minimization-efficient-algorithms-and-tight-error-bounds-1405.7085</loc><lastmod>2014-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-empirical-risk-minimization-efficient-algorithms-and-tight-error-bounds-1405.7085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-empirical-risk-minimization-efficient-algorithms-and-tight-error-bounds-1405.7085"/></url>
<url><loc>https://scifaro.com/en/abs/bayesopt-a-bayesian-optimization-library-for-nonlinear-optimization-experimental-design-and-bandits-1405.7430</loc><lastmod>2014-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesopt-a-bayesian-optimization-library-for-nonlinear-optimization-experimental-design-and-bandits-1405.7430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesopt-a-bayesian-optimization-library-for-nonlinear-optimization-experimental-design-and-bandits-1405.7430"/></url>
<url><loc>https://scifaro.com/en/abs/effect-of-different-distance-measures-on-the-performance-of-k-means-algorithm-an-experimental-study-in-matlab-1405.7471</loc><lastmod>2014-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effect-of-different-distance-measures-on-the-performance-of-k-means-algorithm-an-experimental-study-in-matlab-1405.7471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effect-of-different-distance-measures-on-the-performance-of-k-means-algorithm-an-experimental-study-in-matlab-1405.7471"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-feature-and-expert-selection-within-mixture-of-experts-1405.7624</loc><lastmod>2014-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-feature-and-expert-selection-within-mixture-of-experts-1405.7624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-feature-and-expert-selection-within-mixture-of-experts-1405.7624"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-act-greedily-polymatroid-semi-bandits-1405.7752</loc><lastmod>2014-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-act-greedily-polymatroid-semi-bandits-1405.7752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-act-greedily-polymatroid-semi-bandits-1405.7752"/></url>
<url><loc>https://scifaro.com/en/abs/flip-flop-sublinear-models-for-graphs-proof-of-theorem-1-1405.7897</loc><lastmod>2014-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flip-flop-sublinear-models-for-graphs-proof-of-theorem-1-1405.7897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flip-flop-sublinear-models-for-graphs-proof-of-theorem-1-1405.7897"/></url>
<url><loc>https://scifaro.com/en/abs/holistic-measures-for-evaluating-prediction-models-in-smart-grids-1406.0223</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/holistic-measures-for-evaluating-prediction-models-in-smart-grids-1406.0223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/holistic-measures-for-evaluating-prediction-models-in-smart-grids-1406.0223"/></url>
<url><loc>https://scifaro.com/en/abs/transductive-learning-for-multi-task-copula-processes-1406.0304</loc><lastmod>2014-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transductive-learning-for-multi-task-copula-processes-1406.0304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transductive-learning-for-multi-task-copula-processes-1406.0304"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-diversify-via-weighted-kernels-for-classifier-ensemble-1406.1167</loc><lastmod>2014-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-diversify-via-weighted-kernels-for-classifier-ensemble-1406.1167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-diversify-via-weighted-kernels-for-classifier-ensemble-1406.1167"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-structure-in-high-dimensional-data-through-correlation-explanation-1406.1222</loc><lastmod>2014-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-structure-in-high-dimensional-data-through-correlation-explanation-1406.1222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-structure-in-high-dimensional-data-through-correlation-explanation-1406.1222"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-information-divergence-1406.1385</loc><lastmod>2014-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-information-divergence-1406.1385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-information-divergence-1406.1385"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-discover-efficient-mathematical-identities-1406.1584</loc><lastmod>2014-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-discover-efficient-mathematical-identities-1406.1584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-discover-efficient-mathematical-identities-1406.1584"/></url>
<url><loc>https://scifaro.com/en/abs/separable-cosparse-analysis-operator-learning-1406.1621</loc><lastmod>2014-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/separable-cosparse-analysis-operator-learning-1406.1621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/separable-cosparse-analysis-operator-learning-1406.1621"/></url>
<url><loc>https://scifaro.com/en/abs/computational-role-of-eccentricity-dependent-cortical-magnification-1406.1770</loc><lastmod>2014-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-role-of-eccentricity-dependent-cortical-magnification-1406.1770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-role-of-eccentricity-dependent-cortical-magnification-1406.1770"/></url>
<url><loc>https://scifaro.com/en/abs/logarithmic-time-online-multiclass-prediction-1406.1822</loc><lastmod>2015-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logarithmic-time-online-multiclass-prediction-1406.1822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logarithmic-time-online-multiclass-prediction-1406.1822"/></url>
<url><loc>https://scifaro.com/en/abs/a-credit-assignment-compiler-for-joint-prediction-1406.1837</loc><lastmod>2016-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-credit-assignment-compiler-for-joint-prediction-1406.1837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-credit-assignment-compiler-for-joint-prediction-1406.1837"/></url>
<url><loc>https://scifaro.com/en/abs/a-drifting-games-analysis-for-online-learning-and-applications-to-boosting-1406.1856</loc><lastmod>2014-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-drifting-games-analysis-for-online-learning-and-applications-to-boosting-1406.1856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-drifting-games-analysis-for-online-learning-and-applications-to-boosting-1406.1856"/></url>
<url><loc>https://scifaro.com/en/abs/memristor-models-for-machine-learning-1406.2210</loc><lastmod>2014-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memristor-models-for-machine-learning-1406.2210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memristor-models-for-machine-learning-1406.2210"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-latent-variable-neural-network-model-for-item-recommendation-1406.2235</loc><lastmod>2014-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-latent-variable-neural-network-model-for-item-recommendation-1406.2235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-latent-variable-neural-network-model-for-item-recommendation-1406.2235"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-deep-haar-scattering-on-graphs-1406.2390</loc><lastmod>2014-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-deep-haar-scattering-on-graphs-1406.2390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-deep-haar-scattering-on-graphs-1406.2390"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-algorithmic-limits-of-matrix-rank-minimization-under-affine-constraints-1406.2504</loc><lastmod>2015-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-algorithmic-limits-of-matrix-rank-minimization-under-affine-constraints-1406.2504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-algorithmic-limits-of-matrix-rank-minimization-under-affine-constraints-1406.2504"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-and-attacking-the-saddle-point-problem-in-high-dimensional-non-convex-optimization-1406.2572</loc><lastmod>2014-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-and-attacking-the-saddle-point-problem-in-high-dimensional-non-convex-optimization-1406.2572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-and-attacking-the-saddle-point-problem-in-high-dimensional-non-convex-optimization-1406.2572"/></url>
<url><loc>https://scifaro.com/en/abs/equivalence-of-learning-algorithms-1406.2622</loc><lastmod>2014-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivalence-of-learning-algorithms-1406.2622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivalence-of-learning-algorithms-1406.2622"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-cross-kernels-and-ideal-pca-1406.2646</loc><lastmod>2014-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-cross-kernels-and-ideal-pca-1406.2646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-cross-kernels-and-ideal-pca-1406.2646"/></url>
<url><loc>https://scifaro.com/en/abs/a-multiplicative-model-for-learning-distributed-text-based-attribute-representations-1406.2710</loc><lastmod>2014-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multiplicative-model-for-learning-distributed-text-based-attribute-representations-1406.2710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multiplicative-model-for-learning-distributed-text-based-attribute-representations-1406.2710"/></url>
<url><loc>https://scifaro.com/en/abs/reweighted-wake-sleep-1406.2751</loc><lastmod>2016-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reweighted-wake-sleep-1406.2751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reweighted-wake-sleep-1406.2751"/></url>
<url><loc>https://scifaro.com/en/abs/mental-rotation-by-optimizing-transforming-distance-1406.3010</loc><lastmod>2014-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mental-rotation-by-optimizing-transforming-distance-1406.3010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mental-rotation-by-optimizing-transforming-distance-1406.3010"/></url>
<url><loc>https://scifaro.com/en/abs/scheduled-denoising-autoencoders-1406.3269</loc><lastmod>2015-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scheduled-denoising-autoencoders-1406.3269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scheduled-denoising-autoencoders-1406.3269"/></url>
<url><loc>https://scifaro.com/en/abs/kalman-temporal-differences-1406.3270</loc><lastmod>2014-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kalman-temporal-differences-1406.3270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kalman-temporal-differences-1406.3270"/></url>
<url><loc>https://scifaro.com/en/abs/restricted-boltzmann-machine-for-classification-with-hierarchical-correlated-prior-1406.3407</loc><lastmod>2015-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/restricted-boltzmann-machine-for-classification-with-hierarchical-correlated-prior-1406.3407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/restricted-boltzmann-machine-for-classification-with-hierarchical-correlated-prior-1406.3407"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-machine-learning-techniques-for-green-energy-prediction-1406.3726</loc><lastmod>2014-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-machine-learning-techniques-for-green-energy-prediction-1406.3726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-machine-learning-techniques-for-green-energy-prediction-1406.3726"/></url>
<url><loc>https://scifaro.com/en/abs/from-stochastic-mixability-to-fast-rates-1406.3781</loc><lastmod>2014-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-stochastic-mixability-to-fast-rates-1406.3781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-stochastic-mixability-to-fast-rates-1406.3781"/></url>
<url><loc>https://scifaro.com/en/abs/interval-forecasting-of-electricity-demand-a-novel-bivariate-emd-based-support-vector-regression-modeling-framework-1406.3792</loc><lastmod>2014-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interval-forecasting-of-electricity-demand-a-novel-bivariate-emd-based-support-vector-regression-modeling-framework-1406.3792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interval-forecasting-of-electricity-demand-a-novel-bivariate-emd-based-support-vector-regression-modeling-framework-1406.3792"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-model-selection-and-optimization-through-parameter-free-stochastic-learning-1406.3816</loc><lastmod>2014-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-model-selection-and-optimization-through-parameter-free-stochastic-learning-1406.3816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-model-selection-and-optimization-through-parameter-free-stochastic-learning-1406.3816"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-resource-allocation-with-semi-bandit-feedback-1406.3840</loc><lastmod>2014-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-resource-allocation-with-semi-bandit-feedback-1406.3840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-resource-allocation-with-semi-bandit-feedback-1406.3840"/></url>
<url><loc>https://scifaro.com/en/abs/the-laplacian-k-modes-algorithm-for-clustering-1406.3895</loc><lastmod>2014-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-laplacian-k-modes-algorithm-for-clustering-1406.3895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-laplacian-k-modes-algorithm-for-clustering-1406.3895"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-medical-treatments-using-novel-reinforcement-learning-algorithms-1406.3922</loc><lastmod>2014-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-medical-treatments-using-novel-reinforcement-learning-algorithms-1406.3922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-medical-treatments-using-novel-reinforcement-learning-algorithms-1406.3922"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimal-control-of-smoothly-parameterized-systems-the-lazy-posterior-sampling-algorithm-1406.3926</loc><lastmod>2014-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimal-control-of-smoothly-parameterized-systems-the-lazy-posterior-sampling-algorithm-1406.3926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimal-control-of-smoothly-parameterized-systems-the-lazy-posterior-sampling-algorithm-1406.3926"/></url>
<url><loc>https://scifaro.com/en/abs/construction-of-non-convex-polynomial-loss-functions-for-training-a-binary-classifier-with-quantum-annealing-1406.4203</loc><lastmod>2014-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/construction-of-non-convex-polynomial-loss-functions-for-training-a-binary-classifier-with-quantum-annealing-1406.4203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/construction-of-non-convex-polynomial-loss-functions-for-training-a-binary-classifier-with-quantum-annealing-1406.4203"/></url>
<url><loc>https://scifaro.com/en/abs/multi-stage-multi-task-feature-learning-via-adaptive-threshold-1406.4465</loc><lastmod>2015-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-stage-multi-task-feature-learning-via-adaptive-threshold-1406.4465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-stage-multi-task-feature-learning-via-adaptive-threshold-1406.4465"/></url>
<url><loc>https://scifaro.com/en/abs/guaranteed-scalable-learning-of-latent-tree-models-1406.4566</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guaranteed-scalable-learning-of-latent-tree-models-1406.4566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guaranteed-scalable-learning-of-latent-tree-models-1406.4566"/></url>
<url><loc>https://scifaro.com/en/abs/a-sober-look-at-spectral-learning-1406.4631</loc><lastmod>2014-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sober-look-at-spectral-learning-1406.4631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sober-look-at-spectral-learning-1406.4631"/></url>
<url><loc>https://scifaro.com/en/abs/an-experimental-evaluation-of-nearest-neighbour-time-series-classification-1406.4757</loc><lastmod>2014-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-experimental-evaluation-of-nearest-neighbour-time-series-classification-1406.4757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-experimental-evaluation-of-nearest-neighbour-time-series-classification-1406.4757"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-modelling-of-bone-age-through-classification-and-regression-of-bone-shapes-1406.4781</loc><lastmod>2014-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-modelling-of-bone-age-through-classification-and-regression-of-bone-shapes-1406.4781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-modelling-of-bone-age-through-classification-and-regression-of-bone-shapes-1406.4781"/></url>
<url><loc>https://scifaro.com/en/abs/variational-gaussian-process-state-space-models-1406.4905</loc><lastmod>2014-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-gaussian-process-state-space-models-1406.4905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-gaussian-process-state-space-models-1406.4905"/></url>
<url><loc>https://scifaro.com/en/abs/the-sample-complexity-of-learning-linear-predictors-with-the-squared-loss-1406.5143</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-sample-complexity-of-learning-linear-predictors-with-the-squared-loss-1406.5143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-sample-complexity-of-learning-linear-predictors-with-the-squared-loss-1406.5143"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-with-deep-generative-models-1406.5298</loc><lastmod>2014-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-with-deep-generative-models-1406.5298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-with-deep-generative-models-1406.5298"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-ranking-using-seriation-1406.5370</loc><lastmod>2016-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-ranking-using-seriation-1406.5370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-ranking-using-seriation-1406.5370"/></url>
<url><loc>https://scifaro.com/en/abs/learning-computationally-efficient-dictionaries-and-their-implementation-as-fast-transforms-1406.5388</loc><lastmod>2015-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-computationally-efficient-dictionaries-and-their-implementation-as-fast-transforms-1406.5388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-computationally-efficient-dictionaries-and-their-implementation-as-fast-transforms-1406.5388"/></url>
<url><loc>https://scifaro.com/en/abs/from-conformal-to-probabilistic-prediction-1406.5600</loc><lastmod>2014-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-conformal-to-probabilistic-prediction-1406.5600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-conformal-to-probabilistic-prediction-1406.5600"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayes-analysis-of-multi-view-learning-1406.5614</loc><lastmod>2016-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayes-analysis-of-multi-view-learning-1406.5614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayes-analysis-of-multi-view-learning-1406.5614"/></url>
<url><loc>https://scifaro.com/en/abs/on-semidefinite-relaxations-for-the-block-model-1406.5647</loc><lastmod>2016-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-semidefinite-relaxations-for-the-block-model-1406.5647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-semidefinite-relaxations-for-the-block-model-1406.5647"/></url>
<url><loc>https://scifaro.com/en/abs/spsd-matrix-approximation-vis-column-selection-theories-algorithms-and-extensions-1406.5675</loc><lastmod>2016-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spsd-matrix-approximation-vis-column-selection-theories-algorithms-and-extensions-1406.5675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spsd-matrix-approximation-vis-column-selection-theories-algorithms-and-extensions-1406.5675"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-and-imitation-learning-via-interactive-no-regret-learning-1406.5979</loc><lastmod>2014-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-and-imitation-learning-via-interactive-no-regret-learning-1406.5979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-and-imitation-learning-via-interactive-no-regret-learning-1406.5979"/></url>
<url><loc>https://scifaro.com/en/abs/stationary-mixing-bandits-1406.6020</loc><lastmod>2014-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stationary-mixing-bandits-1406.6020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stationary-mixing-bandits-1406.6020"/></url>
<url><loc>https://scifaro.com/en/abs/mining-recurrent-concepts-in-data-streams-using-the-discrete-fourier-transform-1406.6114</loc><lastmod>2014-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-recurrent-concepts-in-data-streams-using-the-discrete-fourier-transform-1406.6114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-recurrent-concepts-in-data-streams-using-the-discrete-fourier-transform-1406.6114"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-mixability-via-entropic-duality-1406.6130</loc><lastmod>2014-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-mixability-via-entropic-duality-1406.6130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-mixability-via-entropic-duality-1406.6130"/></url>
<url><loc>https://scifaro.com/en/abs/fast-robust-and-non-convex-subspace-recovery-1406.6145</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-robust-and-non-convex-subspace-recovery-1406.6145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-robust-and-non-convex-subspace-recovery-1406.6145"/></url>
<url><loc>https://scifaro.com/en/abs/composite-likelihood-estimation-for-restricted-boltzmann-machines-1406.6176</loc><lastmod>2014-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composite-likelihood-estimation-for-restricted-boltzmann-machines-1406.6176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composite-likelihood-estimation-for-restricted-boltzmann-machines-1406.6176"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-models-of-visual-attention-1406.6247</loc><lastmod>2014-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-models-of-visual-attention-1406.6247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-models-of-visual-attention-1406.6247"/></url>
<url><loc>https://scifaro.com/en/abs/further-heuristics-for-k-means-the-merge-and-split-heuristic-and-the-k-l-means-1406.6314</loc><lastmod>2014-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/further-heuristics-for-k-means-the-merge-and-split-heuristic-and-the-k-l-means-1406.6314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/further-heuristics-for-k-means-the-merge-and-split-heuristic-and-the-k-l-means-1406.6314"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-clustering-the-case-for-extra-clusters-1406.6398</loc><lastmod>2014-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-clustering-the-case-for-extra-clusters-1406.6398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-clustering-the-case-for-extra-clusters-1406.6398"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-and-best-response-dynamics-1406.6633</loc><lastmod>2014-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-and-best-response-dynamics-1406.6633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-and-best-response-dynamics-1406.6633"/></url>
<url><loc>https://scifaro.com/en/abs/causality-networks-1406.6651</loc><lastmod>2014-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causality-networks-1406.6651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causality-networks-1406.6651"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-in-mdps-with-side-information-1406.6812</loc><lastmod>2014-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-in-mdps-with-side-information-1406.6812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-in-mdps-with-side-information-1406.6812"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-unsupervised-feature-learning-with-exemplar-convolutional-neural-networks-1406.6909</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-unsupervised-feature-learning-with-exemplar-convolutional-neural-networks-1406.6909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-unsupervised-feature-learning-with-exemplar-convolutional-neural-networks-1406.6909"/></url>
<url><loc>https://scifaro.com/en/abs/stock-market-prediction-from-wsj-text-mining-via-sparse-matrix-factorization-1406.7330</loc><lastmod>2014-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stock-market-prediction-from-wsj-text-mining-via-sparse-matrix-factorization-1406.7330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stock-market-prediction-from-wsj-text-mining-via-sparse-matrix-factorization-1406.7330"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-svm-optimization-techniques-in-the-primal-1406.7429</loc><lastmod>2014-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-svm-optimization-techniques-in-the-primal-1406.7429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-svm-optimization-techniques-in-the-primal-1406.7429"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-in-large-scale-combinatorial-semi-bandits-1406.7443</loc><lastmod>2017-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-in-large-scale-combinatorial-semi-bandits-1406.7443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-in-large-scale-combinatorial-semi-bandits-1406.7443"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-feature-induction-for-efficient-structure-learning-of-conditional-random-fields-1406.7445</loc><lastmod>2014-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-feature-induction-for-efficient-structure-learning-of-conditional-random-fields-1406.7445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-feature-induction-for-efficient-structure-learning-of-conditional-random-fields-1406.7445"/></url>
<url><loc>https://scifaro.com/en/abs/unimodal-bandits-without-smoothness-1406.7447</loc><lastmod>2015-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unimodal-bandits-without-smoothness-1406.7447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unimodal-bandits-without-smoothness-1406.7447"/></url>
<url><loc>https://scifaro.com/en/abs/learning-laplacian-matrix-in-smooth-graph-signal-representations-1406.7842</loc><lastmod>2016-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-laplacian-matrix-in-smooth-graph-signal-representations-1406.7842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-laplacian-matrix-in-smooth-graph-signal-representations-1406.7842"/></url>
<url><loc>https://scifaro.com/en/abs/rates-of-convergence-for-nearest-neighbor-classification-1407.0067</loc><lastmod>2014-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rates-of-convergence-for-nearest-neighbor-classification-1407.0067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rates-of-convergence-for-nearest-neighbor-classification-1407.0067"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-block-coordinate-descent-for-online-and-stochastic-optimization-1407.0107</loc><lastmod>2014-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-block-coordinate-descent-for-online-and-stochastic-optimization-1407.0107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-block-coordinate-descent-for-online-and-stochastic-optimization-1407.0107"/></url>
<url><loc>https://scifaro.com/en/abs/saga-a-fast-incremental-gradient-method-with-support-for-non-strongly-convex-composite-objectives-1407.0202</loc><lastmod>2014-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/saga-a-fast-incremental-gradient-method-with-support-for-non-strongly-convex-composite-objectives-1407.0202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/saga-a-fast-incremental-gradient-method-with-support-for-non-strongly-convex-composite-objectives-1407.0202"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayes-consistent-1-nn-classifier-1407.0208</loc><lastmod>2018-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayes-consistent-1-nn-classifier-1407.0208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayes-consistent-1-nn-classifier-1407.0208"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-tight-frame-based-stylometry-for-art-authentication-of-van-gogh-paintings-1407.0439</loc><lastmod>2015-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-tight-frame-based-stylometry-for-art-authentication-of-van-gogh-paintings-1407.0439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-tight-frame-based-stylometry-for-art-authentication-of-van-gogh-paintings-1407.0439"/></url>
<url><loc>https://scifaro.com/en/abs/classification-based-approximate-policy-iteration-experiments-and-extended-discussions-1407.0449</loc><lastmod>2014-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-based-approximate-policy-iteration-experiments-and-extended-discussions-1407.0449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-based-approximate-policy-iteration-experiments-and-extended-discussions-1407.0449"/></url>
<url><loc>https://scifaro.com/en/abs/projecting-ising-model-parameters-for-fast-mixing-1407.0749</loc><lastmod>2014-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projecting-ising-model-parameters-for-fast-mixing-1407.0749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projecting-ising-model-parameters-for-fast-mixing-1407.0749"/></url>
<url><loc>https://scifaro.com/en/abs/structured-learning-via-logistic-regression-1407.0754</loc><lastmod>2014-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-learning-via-logistic-regression-1407.0754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-learning-via-logistic-regression-1407.0754"/></url>
<url><loc>https://scifaro.com/en/abs/online-submodular-maximization-under-a-matroid-constraint-with-application-to-learning-assignments-1407.1082</loc><lastmod>2014-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-submodular-maximization-under-a-matroid-constraint-with-application-to-learning-assignments-1407.1082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-submodular-maximization-under-a-matroid-constraint-with-application-to-learning-assignments-1407.1082"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-ranking-measures-for-compact-binary-code-learning-1407.1151</loc><lastmod>2014-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-ranking-measures-for-compact-binary-code-learning-1407.1151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-ranking-measures-for-compact-binary-code-learning-1407.1151"/></url>
<url><loc>https://scifaro.com/en/abs/improving-performance-of-self-organising-maps-with-distance-metric-learning-method-1407.1201</loc><lastmod>2014-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-performance-of-self-organising-maps-with-distance-metric-learning-method-1407.1201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-performance-of-self-organising-maps-with-distance-metric-learning-method-1407.1201"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-multi-label-learning-with-incomplete-label-assignments-1407.1538</loc><lastmod>2014-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-multi-label-learning-with-incomplete-label-assignments-1407.1538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-multi-label-learning-with-incomplete-label-assignments-1407.1538"/></url>
<url><loc>https://scifaro.com/en/abs/recommending-learning-algorithms-and-their-associated-hyperparameters-1407.1890</loc><lastmod>2014-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recommending-learning-algorithms-and-their-associated-hyperparameters-1407.1890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recommending-learning-algorithms-and-their-associated-hyperparameters-1407.1890"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-structured-models-1407.2538</loc><lastmod>2015-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-structured-models-1407.2538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-structured-models-1407.2538"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-disagreement-based-agnostic-active-learning-1407.2657</loc><lastmod>2014-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-disagreement-based-agnostic-active-learning-1407.2657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-disagreement-based-agnostic-active-learning-1407.2657"/></url>
<url><loc>https://scifaro.com/en/abs/learning-privately-with-labeled-and-unlabeled-examples-1407.2662</loc><lastmod>2015-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-privately-with-labeled-and-unlabeled-examples-1407.2662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-privately-with-labeled-and-unlabeled-examples-1407.2662"/></url>
<url><loc>https://scifaro.com/en/abs/private-learning-and-sanitization-pure-vs-approximate-differential-privacy-1407.2674</loc><lastmod>2014-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-learning-and-sanitization-pure-vs-approximate-differential-privacy-1407.2674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-learning-and-sanitization-pure-vs-approximate-differential-privacy-1407.2674"/></url>
<url><loc>https://scifaro.com/en/abs/a-convex-formulation-for-learning-scale-free-networks-via-submodular-relaxation-1407.2697</loc><lastmod>2014-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convex-formulation-for-learning-scale-free-networks-via-submodular-relaxation-1407.2697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convex-formulation-for-learning-scale-free-networks-via-submodular-relaxation-1407.2697"/></url>
<url><loc>https://scifaro.com/en/abs/finito-a-faster-permutable-incremental-gradient-method-for-big-data-problems-1407.2710</loc><lastmod>2014-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finito-a-faster-permutable-incremental-gradient-method-for-big-data-problems-1407.2710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finito-a-faster-permutable-incremental-gradient-method-for-big-data-problems-1407.2710"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-instance-learning-algorithm-based-on-a-stacked-ensemble-of-lazy-learners-1407.2736</loc><lastmod>2014-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-instance-learning-algorithm-based-on-a-stacked-ensemble-of-lazy-learners-1407.2736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-instance-learning-algorithm-based-on-a-stacked-ensemble-of-lazy-learners-1407.2736"/></url>
<url><loc>https://scifaro.com/en/abs/bandits-warm-up-cold-recommender-systems-1407.2806</loc><lastmod>2014-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandits-warm-up-cold-recommender-systems-1407.2806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandits-warm-up-cold-recommender-systems-1407.2806"/></url>
<url><loc>https://scifaro.com/en/abs/an-svm-based-approach-for-cardiac-view-planning-1407.3026</loc><lastmod>2014-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-svm-based-approach-for-cardiac-view-planning-1407.3026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-svm-based-approach-for-cardiac-view-planning-1407.3026"/></url>
<url><loc>https://scifaro.com/en/abs/offline-to-online-conversion-1407.3334</loc><lastmod>2014-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-to-online-conversion-1407.3334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-to-online-conversion-1407.3334"/></url>
<url><loc>https://scifaro.com/en/abs/finding-motif-sets-in-time-series-1407.3685</loc><lastmod>2014-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-motif-sets-in-time-series-1407.3685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-motif-sets-in-time-series-1407.3685"/></url>
<url><loc>https://scifaro.com/en/abs/fast-matrix-completion-without-the-condition-number-1407.4070</loc><lastmod>2014-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-matrix-completion-without-the-condition-number-1407.4070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-matrix-completion-without-the-condition-number-1407.4070"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-restricted-boltzmann-machine-1407.4422</loc><lastmod>2014-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-restricted-boltzmann-machine-1407.4422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-restricted-boltzmann-machine-1407.4422"/></url>
<url><loc>https://scifaro.com/en/abs/a-feature-construction-framework-based-on-outlier-detection-and-discriminative-pattern-mining-1407.4668</loc><lastmod>2014-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-feature-construction-framework-based-on-outlier-detection-and-discriminative-pattern-mining-1407.4668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-feature-construction-framework-based-on-outlier-detection-and-discriminative-pattern-mining-1407.4668"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-passes-in-football-matches-using-spatiotemporal-data-1407.5093</loc><lastmod>2017-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-passes-in-football-matches-using-spatiotemporal-data-1407.5093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-passes-in-football-matches-using-spatiotemporal-data-1407.5093"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-and-spurious-dictionary-learning-with-noise-and-outliers-1407.5155</loc><lastmod>2015-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-and-spurious-dictionary-learning-with-noise-and-outliers-1407.5155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-and-spurious-dictionary-learning-with-noise-and-outliers-1407.5155"/></url>
<url><loc>https://scifaro.com/en/abs/practical-kernel-based-reinforcement-learning-1407.5358</loc><lastmod>2014-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-kernel-based-reinforcement-learning-1407.5358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-kernel-based-reinforcement-learning-1407.5358"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-kernel-methods-via-doubly-stochastic-gradients-1407.5599</loc><lastmod>2015-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-kernel-methods-via-doubly-stochastic-gradients-1407.5599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-kernel-methods-via-doubly-stochastic-gradients-1407.5599"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-smoothness-in-statistical-learning-sequential-prediction-and-stochastic-optimization-1407.5908</loc><lastmod>2014-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-smoothness-in-statistical-learning-sequential-prediction-and-stochastic-optimization-1407.5908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-smoothness-in-statistical-learning-sequential-prediction-and-stochastic-optimization-1407.5908"/></url>
<url><loc>https://scifaro.com/en/abs/the-u-curve-optimization-problem-improvements-on-the-original-algorithm-and-time-complexity-analysis-1407.6067</loc><lastmod>2014-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-u-curve-optimization-problem-improvements-on-the-original-algorithm-and-time-complexity-analysis-1407.6067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-u-curve-optimization-problem-improvements-on-the-original-algorithm-and-time-complexity-analysis-1407.6067"/></url>
<url><loc>https://scifaro.com/en/abs/dissimilarity-based-sparse-subset-selection-1407.6810</loc><lastmod>2016-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dissimilarity-based-sparse-subset-selection-1407.6810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dissimilarity-based-sparse-subset-selection-1407.6810"/></url>
<url><loc>https://scifaro.com/en/abs/almost-sure-chaotic-properties-of-machine-learning-methods-1407.7417</loc><lastmod>2014-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/almost-sure-chaotic-properties-of-machine-learning-methods-1407.7417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/almost-sure-chaotic-properties-of-machine-learning-methods-1407.7417"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-synchronization-clustering-algorithm-1407.7449</loc><lastmod>2014-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-synchronization-clustering-algorithm-1407.7449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-synchronization-clustering-algorithm-1407.7449"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-regularized-regression-for-variable-selection-with-l0-penalty-1407.7508</loc><lastmod>2014-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-regularized-regression-for-variable-selection-with-l0-penalty-1407.7508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-regularized-regression-for-variable-selection-with-l0-penalty-1407.7508"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-feature-scaling-for-online-learning-of-binary-classifiers-1407.7584</loc><lastmod>2014-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-feature-scaling-for-online-learning-of-binary-classifiers-1407.7584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-feature-scaling-for-online-learning-of-binary-classifiers-1407.7584"/></url>
<url><loc>https://scifaro.com/en/abs/chasing-ghosts-competing-with-stateful-policies-1407.7635</loc><lastmod>2014-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chasing-ghosts-competing-with-stateful-policies-1407.7635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chasing-ghosts-competing-with-stateful-policies-1407.7635"/></url>
<url><loc>https://scifaro.com/en/abs/openml-networked-science-in-machine-learning-1407.7722</loc><lastmod>2014-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/openml-networked-science-in-machine-learning-1407.7722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/openml-networked-science-in-machine-learning-1407.7722"/></url>
<url><loc>https://scifaro.com/en/abs/a-hash-based-co-clustering-algorithm-for-categorical-data-1407.7753</loc><lastmod>2014-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hash-based-co-clustering-algorithm-for-categorical-data-1407.7753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hash-based-co-clustering-algorithm-for-categorical-data-1407.7753"/></url>
<url><loc>https://scifaro.com/en/abs/how-auto-encoders-could-provide-credit-assignment-in-deep-networks-via-target-propagation-1407.7906</loc><lastmod>2014-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-auto-encoders-could-provide-credit-assignment-in-deep-networks-via-target-propagation-1407.7906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-auto-encoders-could-provide-credit-assignment-in-deep-networks-via-target-propagation-1407.7906"/></url>
<url><loc>https://scifaro.com/en/abs/the-grow-shrink-strategy-for-learning-markov-network-structures-constrained-by-context-specific-independences-1407.8088</loc><lastmod>2014-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-grow-shrink-strategy-for-learning-markov-network-structures-constrained-by-context-specific-independences-1407.8088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-grow-shrink-strategy-for-learning-markov-network-structures-constrained-by-context-specific-independences-1407.8088"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-coordinate-coding-and-its-application-for-drosophila-gene-expression-pattern-annotation-1407.8147</loc><lastmod>2014-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-coordinate-coding-and-its-application-for-drosophila-gene-expression-pattern-annotation-1407.8147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-coordinate-coding-and-its-application-for-drosophila-gene-expression-pattern-annotation-1407.8147"/></url>
<url><loc>https://scifaro.com/en/abs/dusk-a-dual-structure-preserving-kernel-for-supervised-tensor-learning-with-applications-to-neuroimages-1407.8289</loc><lastmod>2014-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dusk-a-dual-structure-preserving-kernel-for-supervised-tensor-learning-with-applications-to-neuroimages-1407.8289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dusk-a-dual-structure-preserving-kernel-for-supervised-tensor-learning-with-applications-to-neuroimages-1407.8289"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-multi-armed-bandit-and-its-extension-to-probabilistically-triggered-arms-1407.8339</loc><lastmod>2016-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-multi-armed-bandit-and-its-extension-to-probabilistically-triggered-arms-1407.8339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-multi-armed-bandit-and-its-extension-to-probabilistically-triggered-arms-1407.8339"/></url>
<url><loc>https://scifaro.com/en/abs/learning-nash-equilibria-in-congestion-games-1408.0017</loc><lastmod>2014-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-nash-equilibria-in-congestion-games-1408.0017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-nash-equilibria-in-congestion-games-1408.0017"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-ordered-sets-and-applications-in-collaborative-ranking-1408.0043</loc><lastmod>2014-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-ordered-sets-and-applications-in-collaborative-ranking-1408.0043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-ordered-sets-and-applications-in-collaborative-ranking-1408.0043"/></url>
<url><loc>https://scifaro.com/en/abs/a-robustica-based-algorithm-for-blind-separation-of-convolutive-mixtures-1408.0193</loc><lastmod>2014-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robustica-based-algorithm-for-blind-separation-of-convolutive-mixtures-1408.0193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robustica-based-algorithm-for-blind-separation-of-convolutive-mixtures-1408.0193"/></url>
<url><loc>https://scifaro.com/en/abs/sample-complexity-analysis-for-learning-overcomplete-latent-variable-models-through-tensor-methods-1408.0553</loc><lastmod>2014-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-complexity-analysis-for-learning-overcomplete-latent-variable-models-through-tensor-methods-1408.0553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-complexity-analysis-for-learning-overcomplete-latent-variable-models-through-tensor-methods-1408.0553"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-maximally-probable-constrained-relations-by-mathematical-programming-1408.0838</loc><lastmod>2014-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-maximally-probable-constrained-relations-by-mathematical-programming-1408.0838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-maximally-probable-constrained-relations-by-mathematical-programming-1408.0838"/></url>
<url><loc>https://scifaro.com/en/abs/multilayer-bootstrap-networks-1408.0848</loc><lastmod>2018-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilayer-bootstrap-networks-1408.0848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilayer-bootstrap-networks-1408.0848"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-learning-in-cartesian-product-of-reproducing-kernel-hilbert-spaces-1408.0853</loc><lastmod>2015-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-learning-in-cartesian-product-of-reproducing-kernel-hilbert-spaces-1408.0853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-learning-in-cartesian-product-of-reproducing-kernel-hilbert-spaces-1408.0853"/></url>
<url><loc>https://scifaro.com/en/abs/multithreshold-entropy-linear-classifier-1408.1054</loc><lastmod>2015-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multithreshold-entropy-linear-classifier-1408.1054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multithreshold-entropy-linear-classifier-1408.1054"/></url>
<url><loc>https://scifaro.com/en/abs/boosted-markov-networks-for-activity-recognition-1408.1167</loc><lastmod>2014-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosted-markov-networks-for-activity-recognition-1408.1167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosted-markov-networks-for-activity-recognition-1408.1167"/></url>
<url><loc>https://scifaro.com/en/abs/preventing-false-discovery-in-interactive-data-analysis-is-hard-1408.1655</loc><lastmod>2014-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preventing-false-discovery-in-interactive-data-analysis-is-hard-1408.1655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preventing-false-discovery-in-interactive-data-analysis-is-hard-1408.1655"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-on-graphs-1408.1717</loc><lastmod>2014-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-on-graphs-1408.1717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-on-graphs-1408.1717"/></url>
<url><loc>https://scifaro.com/en/abs/larsen-elm-selective-ensemble-of-extreme-learning-machines-using-lars-for-blended-data-1408.2003</loc><lastmod>2014-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/larsen-elm-selective-ensemble-of-extreme-learning-machines-using-lars-for-blended-data-1408.2003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/larsen-elm-selective-ensemble-of-extreme-learning-machines-using-lars-for-blended-data-1408.2003"/></url>
<url><loc>https://scifaro.com/en/abs/rmse-elm-recursive-model-based-selective-ensemble-of-extreme-learning-machines-for-robustness-improvement-1408.2004</loc><lastmod>2014-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rmse-elm-recursive-model-based-selective-ensemble-of-extreme-learning-machines-for-robustness-improvement-1408.2004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rmse-elm-recursive-model-based-selective-ensemble-of-extreme-learning-machines-for-robustness-improvement-1408.2004"/></url>
<url><loc>https://scifaro.com/en/abs/blind-construction-of-optimal-nonlinear-recursive-predictors-for-discrete-sequences-1408.2025</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blind-construction-of-optimal-nonlinear-recursive-predictors-for-discrete-sequences-1408.2025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blind-construction-of-optimal-nonlinear-recursive-predictors-for-discrete-sequences-1408.2025"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-probability-tree-estimation-analysis-and-algorithms-1408.2031</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-probability-tree-estimation-analysis-and-algorithms-1408.2031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-probability-tree-estimation-analysis-and-algorithms-1408.2031"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-multitask-learning-with-latent-hierarchies-1408.2032</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-multitask-learning-with-latent-hierarchies-1408.2032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-multitask-learning-with-latent-hierarchies-1408.2032"/></url>
<url><loc>https://scifaro.com/en/abs/robust-graphical-modeling-with-t-distributions-1408.2033</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-graphical-modeling-with-t-distributions-1408.2033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-graphical-modeling-with-t-distributions-1408.2033"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-predictable-classes-of-processes-1408.2036</loc><lastmod>2015-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-predictable-classes-of-processes-1408.2036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-predictable-classes-of-processes-1408.2036"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-annealing-for-variational-bayes-inference-1408.2037</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-annealing-for-variational-bayes-inference-1408.2037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-annealing-for-variational-bayes-inference-1408.2037"/></url>
<url><loc>https://scifaro.com/en/abs/a-direct-method-for-estimating-a-causal-ordering-in-a-linear-non-gaussian-acyclic-model-1408.2038</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-direct-method-for-estimating-a-causal-ordering-in-a-linear-non-gaussian-acyclic-model-1408.2038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-direct-method-for-estimating-a-causal-ordering-in-a-linear-non-gaussian-acyclic-model-1408.2038"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-side-information-in-probabilistic-matrix-factorization-with-gaussian-processes-1408.2039</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-side-information-in-probabilistic-matrix-factorization-with-gaussian-processes-1408.2039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-side-information-in-probabilistic-matrix-factorization-with-gaussian-processes-1408.2039"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-with-advice-of-unknown-number-of-experts-1408.2040</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-with-advice-of-unknown-number-of-experts-1408.2040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-with-advice-of-unknown-number-of-experts-1408.2040"/></url>
<url><loc>https://scifaro.com/en/abs/graphlab-a-new-framework-for-parallel-machine-learning-1408.2041</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphlab-a-new-framework-for-parallel-machine-learning-1408.2041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphlab-a-new-framework-for-parallel-machine-learning-1408.2041"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-structural-equation-models-with-latent-variables-1408.2042</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-structural-equation-models-with-latent-variables-1408.2042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-structural-equation-models-with-latent-variables-1408.2042"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-coherence-and-the-nystrom-method-1408.2044</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-coherence-and-the-nystrom-method-1408.2044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-coherence-and-the-nystrom-method-1408.2044"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-clustering-with-limited-distance-information-1408.2045</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-clustering-with-limited-distance-information-1408.2045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-clustering-with-limited-distance-information-1408.2045"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-structure-learning-for-markov-random-fields-with-a-spike-and-slab-prior-1408.2047</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-structure-learning-for-markov-random-fields-with-a-spike-and-slab-prior-1408.2047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-structure-learning-for-markov-random-fields-with-a-spike-and-slab-prior-1408.2047"/></url>
<url><loc>https://scifaro.com/en/abs/optimally-weighted-herding-is-bayesian-quadrature-1408.2049</loc><lastmod>2016-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimally-weighted-herding-is-bayesian-quadrature-1408.2049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimally-weighted-herding-is-bayesian-quadrature-1408.2049"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-for-approximate-minimization-of-the-difference-between-submodular-functions-with-applications-1408.2051</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-approximate-minimization-of-the-difference-between-submodular-functions-with-applications-1408.2051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-approximate-minimization-of-the-difference-between-submodular-functions-with-applications-1408.2051"/></url>
<url><loc>https://scifaro.com/en/abs/non-convex-rank-minimization-via-an-empirical-bayesian-approach-1408.2054</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-convex-rank-minimization-via-an-empirical-bayesian-approach-1408.2054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-convex-rank-minimization-via-an-empirical-bayesian-approach-1408.2054"/></url>
<url><loc>https://scifaro.com/en/abs/guess-who-rated-this-movie-identifying-users-through-subspace-clustering-1408.2055</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guess-who-rated-this-movie-identifying-users-through-subspace-clustering-1408.2055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guess-who-rated-this-movie-identifying-users-through-subspace-clustering-1408.2055"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-gaussian-process-regression-with-low-rank-covariance-matrix-approximations-1408.2060</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-gaussian-process-regression-with-low-rank-covariance-matrix-approximations-1408.2060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-gaussian-process-regression-with-low-rank-covariance-matrix-approximations-1408.2060"/></url>
<url><loc>https://scifaro.com/en/abs/warped-mixtures-for-nonparametric-cluster-shapes-1408.2061</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/warped-mixtures-for-nonparametric-cluster-shapes-1408.2061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/warped-mixtures-for-nonparametric-cluster-shapes-1408.2061"/></url>
<url><loc>https://scifaro.com/en/abs/the-lovasz-bregman-divergence-and-connections-to-rank-aggregation-clustering-and-web-ranking-1408.2062</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-lovasz-bregman-divergence-and-connections-to-rank-aggregation-clustering-and-web-ranking-1408.2062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-lovasz-bregman-divergence-and-connections-to-rank-aggregation-clustering-and-web-ranking-1408.2062"/></url>
<url><loc>https://scifaro.com/en/abs/one-class-support-measure-machines-for-group-anomaly-detection-1408.2064</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-class-support-measure-machines-for-group-anomaly-detection-1408.2064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-class-support-measure-machines-for-group-anomaly-detection-1408.2064"/></url>
<url><loc>https://scifaro.com/en/abs/normalized-online-learning-1408.2065</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalized-online-learning-1408.2065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalized-online-learning-1408.2065"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-matrix-valued-kernel-learning-for-high-dimensional-nonlinear-multivariate-regression-and-granger-causality-1408.2066</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-matrix-valued-kernel-learning-for-high-dimensional-nonlinear-multivariate-regression-and-granger-causality-1408.2066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-matrix-valued-kernel-learning-for-high-dimensional-nonlinear-multivariate-regression-and-granger-causality-1408.2066"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-inverse-reinforcement-learning-in-unknown-environments-1408.2067</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-inverse-reinforcement-learning-in-unknown-environments-1408.2067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-inverse-reinforcement-learning-in-unknown-environments-1408.2067"/></url>
<url><loc>https://scifaro.com/en/abs/exponentiated-gradient-exploration-for-active-learning-1408.2196</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponentiated-gradient-exploration-for-active-learning-1408.2196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponentiated-gradient-exploration-for-active-learning-1408.2196"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-consistency-of-ordinal-regression-methods-1408.2327</loc><lastmod>2017-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-consistency-of-ordinal-regression-methods-1408.2327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-consistency-of-ordinal-regression-methods-1408.2327"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-complexity-of-bandit-linear-optimization-1408.2368</loc><lastmod>2014-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-complexity-of-bandit-linear-optimization-1408.2368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-complexity-of-bandit-linear-optimization-1408.2368"/></url>
<url><loc>https://scifaro.com/en/abs/convex-calibration-dimension-for-multiclass-loss-matrices-1408.2764</loc><lastmod>2015-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-calibration-dimension-for-multiclass-loss-matrices-1408.2764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-calibration-dimension-for-multiclass-loss-matrices-1408.2764"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-hyperplane-classifier-by-minimizing-an-exact-bound-on-the-vc-dimension-1408.2803</loc><lastmod>2017-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-hyperplane-classifier-by-minimizing-an-exact-bound-on-the-vc-dimension-1408.2803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-hyperplane-classifier-by-minimizing-an-exact-bound-on-the-vc-dimension-1408.2803"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-based-rbf-kernel-for-support-vector-machines-1408.2869</loc><lastmod>2014-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-based-rbf-kernel-for-support-vector-machines-1408.2869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-based-rbf-kernel-for-support-vector-machines-1408.2869"/></url>
<url><loc>https://scifaro.com/en/abs/a-classifier-free-ensemble-selection-method-based-on-data-diversity-in-random-subspaces-1408.2889</loc><lastmod>2014-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-classifier-free-ensemble-selection-method-based-on-data-diversity-in-random-subspaces-1408.2889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-classifier-free-ensemble-selection-method-based-on-data-diversity-in-random-subspaces-1408.2889"/></url>
<url><loc>https://scifaro.com/en/abs/robust-os-elm-with-a-novel-selective-ensemble-based-on-particle-swarm-optimization-1408.2890</loc><lastmod>2014-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-os-elm-with-a-novel-selective-ensemble-based-on-particle-swarm-optimization-1408.2890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-os-elm-with-a-novel-selective-ensemble-based-on-particle-swarm-optimization-1408.2890"/></url>
<url><loc>https://scifaro.com/en/abs/fastfood-approximate-kernel-expansions-in-loglinear-time-1408.3060</loc><lastmod>2014-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fastfood-approximate-kernel-expansions-in-loglinear-time-1408.3060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fastfood-approximate-kernel-expansions-in-loglinear-time-1408.3060"/></url>
<url><loc>https://scifaro.com/en/abs/human-activity-learning-and-segmentation-using-partially-hidden-discriminative-models-1408.3081</loc><lastmod>2014-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-activity-learning-and-segmentation-using-partially-hidden-discriminative-models-1408.3081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-activity-learning-and-segmentation-using-partially-hidden-discriminative-models-1408.3081"/></url>
<url><loc>https://scifaro.com/en/abs/indefinitely-oscillating-martingales-1408.3169</loc><lastmod>2014-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/indefinitely-oscillating-martingales-1408.3169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/indefinitely-oscillating-martingales-1408.3169"/></url>
<url><loc>https://scifaro.com/en/abs/linear-contour-learning-a-method-for-supervised-dimension-reduction-1408.3359</loc><lastmod>2014-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-contour-learning-a-method-for-supervised-dimension-reduction-1408.3359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-contour-learning-a-method-for-supervised-dimension-reduction-1408.3359"/></url>
<url><loc>https://scifaro.com/en/abs/multi-sensor-event-detection-using-shape-histograms-1408.3733</loc><lastmod>2014-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-sensor-event-detection-using-shape-histograms-1408.3733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-sensor-event-detection-using-shape-histograms-1408.3733"/></url>
<url><loc>https://scifaro.com/en/abs/down-sampling-coupled-to-elastic-kernel-machines-for-efficient-recognition-of-isolated-gestures-1408.3944</loc><lastmod>2014-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/down-sampling-coupled-to-elastic-kernel-machines-for-efficient-recognition-of-isolated-gestures-1408.3944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/down-sampling-coupled-to-elastic-kernel-machines-for-efficient-recognition-of-isolated-gestures-1408.3944"/></url>
<url><loc>https://scifaro.com/en/abs/indexing-cost-sensitive-prediction-1408.4072</loc><lastmod>2014-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/indexing-cost-sensitive-prediction-1408.4072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/indexing-cost-sensitive-prediction-1408.4072"/></url>
<url><loc>https://scifaro.com/en/abs/introduction-to-clustering-algorithms-and-applications-1408.4576</loc><lastmod>2014-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introduction-to-clustering-algorithms-and-applications-1408.4576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introduction-to-clustering-algorithms-and-applications-1408.4576"/></url>
<url><loc>https://scifaro.com/en/abs/afp-algorithm-and-a-canonical-normal-form-for-horn-formulas-1408.4673</loc><lastmod>2017-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/afp-algorithm-and-a-canonical-normal-form-for-horn-formulas-1408.4673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/afp-algorithm-and-a-canonical-normal-form-for-horn-formulas-1408.4673"/></url>
<url><loc>https://scifaro.com/en/abs/conic-multi-task-classification-1408.4714</loc><lastmod>2014-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conic-multi-task-classification-1408.4714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conic-multi-task-classification-1408.4714"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-interpretability-of-support-vector-machines-based-fuzzy-rules-1408.5246</loc><lastmod>2014-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-interpretability-of-support-vector-machines-based-fuzzy-rules-1408.5246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-interpretability-of-support-vector-machines-based-fuzzy-rules-1408.5246"/></url>
<url><loc>https://scifaro.com/en/abs/computing-multi-relational-sufficient-statistics-for-large-databases-1408.5389</loc><lastmod>2014-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-multi-relational-sufficient-statistics-for-large-databases-1408.5389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-multi-relational-sufficient-statistics-for-large-databases-1408.5389"/></url>
<url><loc>https://scifaro.com/en/abs/stretchy-polynomial-regression-1408.5449</loc><lastmod>2014-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stretchy-polynomial-regression-1408.5449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stretchy-polynomial-regression-1408.5449"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-tree-ensembles-with-intrees-1408.5456</loc><lastmod>2014-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-tree-ensembles-with-intrees-1408.5456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-tree-ensembles-with-intrees-1408.5456"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-hashing-using-graph-cuts-and-boosted-decision-trees-1408.5574</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-hashing-using-graph-cuts-and-boosted-decision-trees-1408.5574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-hashing-using-graph-cuts-and-boosted-decision-trees-1408.5574"/></url>
<url><loc>https://scifaro.com/en/abs/improved-distributed-principal-component-analysis-1408.5823</loc><lastmod>2014-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-distributed-principal-component-analysis-1408.5823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-distributed-principal-component-analysis-1408.5823"/></url>
<url><loc>https://scifaro.com/en/abs/label-distribution-learning-1408.6027</loc><lastmod>2016-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-distribution-learning-1408.6027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-distribution-learning-1408.6027"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-purchase-prediction-with-historical-user-actions-on-b2c-online-retail-platform-1408.6515</loc><lastmod>2015-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-purchase-prediction-with-historical-user-actions-on-b2c-online-retail-platform-1408.6515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-purchase-prediction-with-historical-user-actions-on-b2c-online-retail-platform-1408.6515"/></url>
<url><loc>https://scifaro.com/en/abs/task-group-relatedness-and-generalization-bounds-for-regularized-multi-task-learning-1408.6617</loc><lastmod>2014-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-group-relatedness-and-generalization-bounds-for-regularized-multi-task-learning-1408.6617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-group-relatedness-and-generalization-bounds-for-regularized-multi-task-learning-1408.6617"/></url>
<url><loc>https://scifaro.com/en/abs/falsifiable-implies-learnable-1408.6618</loc><lastmod>2014-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/falsifiable-implies-learnable-1408.6618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/falsifiable-implies-learnable-1408.6618"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-plane-block-coordinate-frank-wolfe-algorithm-for-training-structural-svms-with-a-costly-max-oracle-1408.6804</loc><lastmod>2014-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-plane-block-coordinate-frank-wolfe-algorithm-for-training-structural-svms-with-a-costly-max-oracle-1408.6804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-plane-block-coordinate-frank-wolfe-algorithm-for-training-structural-svms-with-a-costly-max-oracle-1408.6804"/></url>
<url><loc>https://scifaro.com/en/abs/a-plug-play-p300-bci-using-information-geometry-1409.0107</loc><lastmod>2014-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-plug-play-p300-bci-using-information-geometry-1409.0107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-plug-play-p300-bci-using-information-geometry-1409.0107"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-sparse-structure-learning-1409.0272</loc><lastmod>2017-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-sparse-structure-learning-1409.0272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-sparse-structure-learning-1409.0272"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-algorithms-that-detect-drug-side-effects-using-electronic-healthcare-databases-1409.0748</loc><lastmod>2014-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-algorithms-that-detect-drug-side-effects-using-electronic-healthcare-databases-1409.0748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-algorithms-that-detect-drug-side-effects-using-electronic-healthcare-databases-1409.0748"/></url>
<url><loc>https://scifaro.com/en/abs/data-classification-using-the-dempster-shafer-method-1409.0763</loc><lastmod>2014-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-classification-using-the-dempster-shafer-method-1409.0763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-classification-using-the-dempster-shafer-method-1409.0763"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-semi-supervised-algorithm-for-rare-prescription-side-effect-discovery-1409.0768</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-semi-supervised-algorithm-for-rare-prescription-side-effect-discovery-1409.0768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-semi-supervised-algorithm-for-rare-prescription-side-effect-discovery-1409.0768"/></url>
<url><loc>https://scifaro.com/en/abs/signalling-paediatric-side-effects-using-an-ensemble-of-simple-study-designs-1409.0772</loc><lastmod>2014-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signalling-paediatric-side-effects-using-an-ensemble-of-simple-study-designs-1409.0772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signalling-paediatric-side-effects-using-an-ensemble-of-simple-study-designs-1409.0772"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-in-detection-of-adverse-drug-reactions-from-the-health-improvement-network-thin-database-1409.0775</loc><lastmod>2014-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-in-detection-of-adverse-drug-reactions-from-the-health-improvement-network-thin-database-1409.0775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-in-detection-of-adverse-drug-reactions-from-the-health-improvement-network-thin-database-1409.0775"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-learning-of-colorectal-cancer-survival-rates-1409.0788</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-learning-of-colorectal-cancer-survival-rates-1409.0788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-learning-of-colorectal-cancer-survival-rates-1409.0788"/></url>
<url><loc>https://scifaro.com/en/abs/solving-the-problem-of-the-k-parameter-in-the-knn-classifier-using-an-ensemble-learning-approach-1409.0919</loc><lastmod>2014-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-the-problem-of-the-k-parameter-in-the-knn-classifier-using-an-ensemble-learning-approach-1409.0919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-the-problem-of-the-k-parameter-in-the-knn-classifier-using-an-ensemble-learning-approach-1409.0919"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-invariant-similarity-measure-1409.0923</loc><lastmod>2014-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-invariant-similarity-measure-1409.0923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-invariant-similarity-measure-1409.0923"/></url>
<url><loc>https://scifaro.com/en/abs/variability-of-behaviour-in-electricity-load-profile-clustering-who-does-things-at-the-same-time-each-day-1409.1043</loc><lastmod>2014-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variability-of-behaviour-in-electricity-load-profile-clustering-who-does-things-at-the-same-time-each-day-1409.1043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variability-of-behaviour-in-electricity-load-profile-clustering-who-does-things-at-the-same-time-each-day-1409.1043"/></url>
<url><loc>https://scifaro.com/en/abs/tuning-a-multiple-classifier-system-for-side-effect-discovery-using-genetic-algorithms-1409.1053</loc><lastmod>2014-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tuning-a-multiple-classifier-system-for-side-effect-discovery-using-genetic-algorithms-1409.1053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tuning-a-multiple-classifier-system-for-side-effect-discovery-using-genetic-algorithms-1409.1053"/></url>
<url><loc>https://scifaro.com/en/abs/structured-low-rank-matrix-factorization-with-missing-and-grossly-corrupted-observations-1409.1062</loc><lastmod>2014-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-low-rank-matrix-factorization-with-missing-and-grossly-corrupted-observations-1409.1062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-low-rank-matrix-factorization-with-missing-and-grossly-corrupted-observations-1409.1062"/></url>
<url><loc>https://scifaro.com/en/abs/domain-transfer-structured-output-learning-1409.1200</loc><lastmod>2014-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-transfer-structured-output-learning-1409.1200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-transfer-structured-output-learning-1409.1200"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-distributed-dual-coordinate-ascent-1409.1458</loc><lastmod>2014-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-distributed-dual-coordinate-ascent-1409.1458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-distributed-dual-coordinate-ascent-1409.1458"/></url>
<url><loc>https://scifaro.com/en/abs/novel-methods-for-activity-classification-and-occupany-prediction-enabling-fine-grained-hvac-control-1409.1917</loc><lastmod>2014-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novel-methods-for-activity-classification-and-occupany-prediction-enabling-fine-grained-hvac-control-1409.1917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novel-methods-for-activity-classification-and-occupany-prediction-enabling-fine-grained-hvac-control-1409.1917"/></url>
<url><loc>https://scifaro.com/en/abs/the-large-margin-mechanism-for-differentially-private-maximization-1409.2177</loc><lastmod>2014-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-large-margin-mechanism-for-differentially-private-maximization-1409.2177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-large-margin-mechanism-for-differentially-private-maximization-1409.2177"/></url>
<url><loc>https://scifaro.com/en/abs/deep-unfolding-model-based-inspiration-of-novel-deep-architectures-1409.2574</loc><lastmod>2014-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-unfolding-model-based-inspiration-of-novel-deep-architectures-1409.2574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-unfolding-model-based-inspiration-of-novel-deep-architectures-1409.2574"/></url>
<url><loc>https://scifaro.com/en/abs/learning-machines-implemented-on-non-deterministic-hardware-1409.2620</loc><lastmod>2014-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-machines-implemented-on-non-deterministic-hardware-1409.2620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-machines-implemented-on-non-deterministic-hardware-1409.2620"/></url>
<url><loc>https://scifaro.com/en/abs/winner-take-all-autoencoders-1409.2752</loc><lastmod>2015-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/winner-take-all-autoencoders-1409.2752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/winner-take-all-autoencoders-1409.2752"/></url>
<url><loc>https://scifaro.com/en/abs/far-field-compression-for-fast-kernel-summation-methods-in-high-dimensions-1409.2802</loc><lastmod>2015-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/far-field-compression-for-fast-kernel-summation-methods-in-high-dimensions-1409.2802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/far-field-compression-for-fast-kernel-summation-methods-in-high-dimensions-1409.2802"/></url>
<url><loc>https://scifaro.com/en/abs/a-stochastic-pca-and-svd-algorithm-with-an-exponential-convergence-rate-1409.2848</loc><lastmod>2015-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stochastic-pca-and-svd-algorithm-with-an-exponential-convergence-rate-1409.2848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stochastic-pca-and-svd-algorithm-with-an-exponential-convergence-rate-1409.2848"/></url>
<url><loc>https://scifaro.com/en/abs/non-convex-boosting-overcomes-random-label-noise-1409.2905</loc><lastmod>2014-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-convex-boosting-overcomes-random-label-noise-1409.2905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-convex-boosting-overcomes-random-label-noise-1409.2905"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-deep-learning-for-recommender-systems-1409.2944</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-deep-learning-for-recommender-systems-1409.2944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-deep-learning-for-recommender-systems-1409.2944"/></url>
<url><loc>https://scifaro.com/en/abs/look-ma-no-hands-a-parameter-free-topic-model-1409.2993</loc><lastmod>2014-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/look-ma-no-hands-a-parameter-free-topic-model-1409.2993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/look-ma-no-hands-a-parameter-free-topic-model-1409.2993"/></url>
<url><loc>https://scifaro.com/en/abs/towards-optimal-algorithms-for-prediction-with-expert-advice-1409.3040</loc><lastmod>2016-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-optimal-algorithms-for-prediction-with-expert-advice-1409.3040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-optimal-algorithms-for-prediction-with-expert-advice-1409.3040"/></url>
<url><loc>https://scifaro.com/en/abs/metric-learning-for-temporal-sequence-alignment-1409.3136</loc><lastmod>2014-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-learning-for-temporal-sequence-alignment-1409.3136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-learning-for-temporal-sequence-alignment-1409.3136"/></url>
<url><loc>https://scifaro.com/en/abs/consensus-based-modelling-using-distributed-feature-construction-1409.3446</loc><lastmod>2014-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consensus-based-modelling-using-distributed-feature-construction-1409.3446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consensus-based-modelling-using-distributed-feature-construction-1409.3446"/></url>
<url><loc>https://scifaro.com/en/abs/10-000-times-accelerated-robust-subset-selection-arss-1409.3660</loc><lastmod>2014-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/10-000-times-accelerated-robust-subset-selection-arss-1409.3660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/10-000-times-accelerated-robust-subset-selection-arss-1409.3660"/></url>
<url><loc>https://scifaro.com/en/abs/linear-deterministic-and-order-invariant-initialization-methods-for-the-k-means-clustering-algorithm-1409.3854</loc><lastmod>2014-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-deterministic-and-order-invariant-initialization-methods-for-the-k-means-clustering-algorithm-1409.3854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-deterministic-and-order-invariant-initialization-methods-for-the-k-means-clustering-algorithm-1409.3854"/></url>
<url><loc>https://scifaro.com/en/abs/equinmf-graph-regularized-multiview-nonnegative-matrix-factorization-1409.4018</loc><lastmod>2014-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equinmf-graph-regularized-multiview-nonnegative-matrix-factorization-1409.4018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equinmf-graph-regularized-multiview-nonnegative-matrix-factorization-1409.4018"/></url>
<url><loc>https://scifaro.com/en/abs/active-metric-learning-from-relative-comparisons-1409.4155</loc><lastmod>2014-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-metric-learning-from-relative-comparisons-1409.4155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-metric-learning-from-relative-comparisons-1409.4155"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-quartet-tree-heuristic-for-hierarchical-clustering-1409.4276</loc><lastmod>2014-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-quartet-tree-heuristic-for-hierarchical-clustering-1409.4276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-quartet-tree-heuristic-for-hierarchical-clustering-1409.4276"/></url>
<url><loc>https://scifaro.com/en/abs/a-mixtures-of-experts-framework-for-multi-label-classification-1409.4698</loc><lastmod>2014-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mixtures-of-experts-framework-for-multi-label-classification-1409.4698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mixtures-of-experts-framework-for-multi-label-classification-1409.4698"/></url>
<url><loc>https://scifaro.com/en/abs/collapsed-variational-bayes-inference-of-infinite-relational-model-1409.4757</loc><lastmod>2014-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collapsed-variational-bayes-inference-of-infinite-relational-model-1409.4757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collapsed-variational-bayes-inference-of-infinite-relational-model-1409.4757"/></url>
<url><loc>https://scifaro.com/en/abs/taking-into-account-the-differences-between-actively-and-passively-acquired-data-the-case-of-active-learning-with-support-vector-machines-for-imbalanced-datasets-1409.4835</loc><lastmod>2014-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taking-into-account-the-differences-between-actively-and-passively-acquired-data-the-case-of-active-learning-with-support-vector-machines-for-imbalanced-datasets-1409.4835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taking-into-account-the-differences-between-actively-and-passively-acquired-data-the-case-of-active-learning-with-support-vector-machines-for-imbalanced-datasets-1409.4835"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-inference-with-probabilistic-graphical-models-1409.4928</loc><lastmod>2014-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-inference-with-probabilistic-graphical-models-1409.4928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-inference-with-probabilistic-graphical-models-1409.4928"/></url>
<url><loc>https://scifaro.com/en/abs/ensembles-of-random-sphere-cover-classifiers-1409.4936</loc><lastmod>2014-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensembles-of-random-sphere-cover-classifiers-1409.4936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensembles-of-random-sphere-cover-classifiers-1409.4936"/></url>
<url><loc>https://scifaro.com/en/abs/an-agent-based-algorithm-exploiting-multiple-local-dissimilarities-for-clusters-mining-and-knowledge-discovery-1409.4988</loc><lastmod>2015-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-agent-based-algorithm-exploiting-multiple-local-dissimilarities-for-clusters-mining-and-knowledge-discovery-1409.4988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-agent-based-algorithm-exploiting-multiple-local-dissimilarities-for-clusters-mining-and-knowledge-discovery-1409.4988"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-capacity-of-meteorological-data-will-it-rain-tomorrow-1409.5079</loc><lastmod>2014-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-capacity-of-meteorological-data-will-it-rain-tomorrow-1409.5079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-capacity-of-meteorological-data-will-it-rain-tomorrow-1409.5079"/></url>
<url><loc>https://scifaro.com/en/abs/a-method-for-stopping-active-learning-based-on-stabilizing-predictions-and-the-need-for-user-adjustable-stopping-1409.5165</loc><lastmod>2014-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-method-for-stopping-active-learning-based-on-stabilizing-predictions-and-the-need-for-user-adjustable-stopping-1409.5165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-method-for-stopping-active-learning-based-on-stabilizing-predictions-and-the-need-for-user-adjustable-stopping-1409.5165"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-approximation-capability-of-orthogonal-super-greedy-algorithm-1409.5330</loc><lastmod>2014-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-approximation-capability-of-orthogonal-super-greedy-algorithm-1409.5330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-approximation-capability-of-orthogonal-super-greedy-algorithm-1409.5330"/></url>
<url><loc>https://scifaro.com/en/abs/same-but-different-fast-and-high-quality-gibbs-parameter-estimation-1409.5402</loc><lastmod>2014-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/same-but-different-fast-and-high-quality-gibbs-parameter-estimation-1409.5402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/same-but-different-fast-and-high-quality-gibbs-parameter-estimation-1409.5402"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-feature-group-sequencing-for-anytime-linear-prediction-1409.5495</loc><lastmod>2016-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-feature-group-sequencing-for-anytime-linear-prediction-1409.5495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-feature-group-sequencing-for-anytime-linear-prediction-1409.5495"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-soft-subspace-clustering-1409.5616</loc><lastmod>2016-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-soft-subspace-clustering-1409.5616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-soft-subspace-clustering-1409.5616"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-prototype-based-fuzzy-clustering-1409.5686</loc><lastmod>2016-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-prototype-based-fuzzy-clustering-1409.5686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-prototype-based-fuzzy-clustering-1409.5686"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-machine-learning-via-sufficient-factor-broadcasting-1409.5705</loc><lastmod>2015-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-machine-learning-via-sufficient-factor-broadcasting-1409.5705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-machine-learning-via-sufficient-factor-broadcasting-1409.5705"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-neural-networks-over-tree-structures-for-programming-language-processing-1409.5718</loc><lastmod>2015-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-neural-networks-over-tree-structures-for-programming-language-processing-1409.5718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-neural-networks-over-tree-structures-for-programming-language-processing-1409.5718"/></url>
<url><loc>https://scifaro.com/en/abs/tight-error-bounds-for-structured-prediction-1409.5834</loc><lastmod>2014-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-error-bounds-for-structured-prediction-1409.5834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-error-bounds-for-structured-prediction-1409.5834"/></url>
<url><loc>https://scifaro.com/en/abs/the-information-theoretically-efficient-model-item-a-model-for-computerized-analysis-of-large-datasets-1409.6075</loc><lastmod>2014-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-information-theoretically-efficient-model-item-a-model-for-computerized-analysis-of-large-datasets-1409.6075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-information-theoretically-efficient-model-item-a-model-for-computerized-analysis-of-large-datasets-1409.6075"/></url>
<url><loc>https://scifaro.com/en/abs/best-arm-identification-in-linear-bandits-1409.6110</loc><lastmod>2014-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-arm-identification-in-linear-bandits-1409.6110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-arm-identification-in-linear-bandits-1409.6110"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-metric-learning-with-content-based-regularization-for-software-artifact-retrieval-1409.7165</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-metric-learning-with-content-based-regularization-for-software-artifact-retrieval-1409.7165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-metric-learning-with-content-based-regularization-for-software-artifact-retrieval-1409.7165"/></url>
<url><loc>https://scifaro.com/en/abs/a-boosting-framework-on-grounds-of-online-learning-1409.7202</loc><lastmod>2014-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-boosting-framework-on-grounds-of-online-learning-1409.7202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-boosting-framework-on-grounds-of-online-learning-1409.7202"/></url>
<url><loc>https://scifaro.com/en/abs/a-semidefinite-programming-based-search-strategy-for-feature-selection-with-mutual-information-measure-1409.7384</loc><lastmod>2014-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-semidefinite-programming-based-search-strategy-for-feature-selection-with-mutual-information-measure-1409.7384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-semidefinite-programming-based-search-strategy-for-feature-selection-with-mutual-information-measure-1409.7384"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoder-trees-1409.7461</loc><lastmod>2014-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoder-trees-1409.7461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoder-trees-1409.7461"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-solar-irradiance-and-irradiation-forecasts-via-different-time-series-techniques-a-preliminary-study-1409.7476</loc><lastmod>2014-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-solar-irradiance-and-irradiation-forecasts-via-different-time-series-techniques-a-preliminary-study-1409.7476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-solar-irradiance-and-irradiation-forecasts-via-different-time-series-techniques-a-preliminary-study-1409.7476"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-twin-gaussian-processes-using-sharma-mittal-divergence-1409.7480</loc><lastmod>2015-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-twin-gaussian-processes-using-sharma-mittal-divergence-1409.7480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-twin-gaussian-processes-using-sharma-mittal-divergence-1409.7480"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-mutual-information-regularized-classification-1409.7780</loc><lastmod>2014-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-mutual-information-regularized-classification-1409.7780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-mutual-information-regularized-classification-1409.7780"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-online-feature-selection-for-ultra-high-dimensional-sparse-data-1409.7794</loc><lastmod>2015-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-online-feature-selection-for-ultra-high-dimensional-sparse-data-1409.7794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-online-feature-selection-for-ultra-high-dimensional-sparse-data-1409.7794"/></url>
<url><loc>https://scifaro.com/en/abs/cognitive-learning-of-statistical-primary-patterns-via-bayesian-network-1409.7930</loc><lastmod>2015-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cognitive-learning-of-statistical-primary-patterns-via-bayesian-network-1409.7930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cognitive-learning-of-statistical-primary-patterns-via-bayesian-network-1409.7930"/></url>
<url><loc>https://scifaro.com/en/abs/lazier-than-lazy-greedy-1409.7938</loc><lastmod>2014-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lazier-than-lazy-greedy-1409.7938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lazier-than-lazy-greedy-1409.7938"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-predictability-of-photovoltaic-production-over-italy-1409.8202</loc><lastmod>2014-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-predictability-of-photovoltaic-production-over-italy-1409.8202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-predictability-of-photovoltaic-production-over-italy-1409.8202"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-multivariate-sequence-classification-1409.8211</loc><lastmod>2014-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-multivariate-sequence-classification-1409.8211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-multivariate-sequence-classification-1409.8211"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-tensor-factorization-model-via-variational-inference-for-link-prediction-1409.8276</loc><lastmod>2014-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-tensor-factorization-model-via-variational-inference-for-link-prediction-1409.8276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-tensor-factorization-model-via-variational-inference-for-link-prediction-1409.8276"/></url>
<url><loc>https://scifaro.com/en/abs/arabic-spelling-correction-using-supervised-learning-1409.8309</loc><lastmod>2014-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arabic-spelling-correction-using-supervised-learning-1409.8309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arabic-spelling-correction-using-supervised-learning-1409.8309"/></url>
<url><loc>https://scifaro.com/en/abs/nonstochastic-multi-armed-bandits-with-graph-structured-feedback-1409.8428</loc><lastmod>2014-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonstochastic-multi-armed-bandits-with-graph-structured-feedback-1409.8428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonstochastic-multi-armed-bandits-with-graph-structured-feedback-1409.8428"/></url>
<url><loc>https://scifaro.com/en/abs/data-imputation-through-the-identification-of-local-anomalies-1409.8576</loc><lastmod>2014-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-imputation-through-the-identification-of-local-anomalies-1409.8576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-imputation-through-the-identification-of-local-anomalies-1409.8576"/></url>
<url><loc>https://scifaro.com/en/abs/deep-tempering-1410.0123</loc><lastmod>2014-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-tempering-1410.0123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-tempering-1410.0123"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-nonlinear-learning-with-adaptive-polynomial-expansions-1410.0440</loc><lastmod>2014-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-nonlinear-learning-with-adaptive-polynomial-expansions-1410.0440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-nonlinear-learning-with-adaptive-polynomial-expansions-1410.0440"/></url>
<url><loc>https://scifaro.com/en/abs/deep-sequential-neural-network-1410.0510</loc><lastmod>2014-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-sequential-neural-network-1410.0510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-sequential-neural-network-1410.0510"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-laguerre-reduction-of-the-volterra-kernel-for-practical-identification-of-nonlinear-dynamic-systems-1410.0741</loc><lastmod>2014-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-laguerre-reduction-of-the-volterra-kernel-for-practical-identification-of-nonlinear-dynamic-systems-1410.0741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-laguerre-reduction-of-the-volterra-kernel-for-practical-identification-of-nonlinear-dynamic-systems-1410.0741"/></url>
<url><loc>https://scifaro.com/en/abs/tight-regret-bounds-for-stochastic-combinatorial-semi-bandits-1410.0949</loc><lastmod>2017-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-regret-bounds-for-stochastic-combinatorial-semi-bandits-1410.0949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-regret-bounds-for-stochastic-combinatorial-semi-bandits-1410.0949"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-analysis-of-active-learning-1410.0996</loc><lastmod>2014-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-analysis-of-active-learning-1410.0996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-analysis-of-active-learning-1410.0996"/></url>
<url><loc>https://scifaro.com/en/abs/online-ranking-with-top-1-feedback-1410.1103</loc><lastmod>2016-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-ranking-with-top-1-feedback-1410.1103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-ranking-with-top-1-feedback-1410.1103"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-computational-efficiency-of-training-neural-networks-1410.1141</loc><lastmod>2014-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-computational-efficiency-of-training-neural-networks-1410.1141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-computational-efficiency-of-training-neural-networks-1410.1141"/></url>
<url><loc>https://scifaro.com/en/abs/top-rank-optimization-in-linear-time-1410.1462</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/top-rank-optimization-in-linear-time-1410.1462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/top-rank-optimization-in-linear-time-1410.1462"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-discriminative-em-1410.1784</loc><lastmod>2017-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-discriminative-em-1410.1784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-discriminative-em-1410.1784"/></url>
<url><loc>https://scifaro.com/en/abs/glad-group-anomaly-detection-in-social-media-analysis-extended-abstract-1410.1940</loc><lastmod>2014-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/glad-group-anomaly-detection-in-social-media-analysis-extended-abstract-1410.1940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/glad-group-anomaly-detection-in-social-media-analysis-extended-abstract-1410.1940"/></url>
<url><loc>https://scifaro.com/en/abs/learning-manifold-to-regularize-nonnegative-matrix-factorization-1410.2191</loc><lastmod>2014-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-manifold-to-regularize-nonnegative-matrix-factorization-1410.2191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-manifold-to-regularize-nonnegative-matrix-factorization-1410.2191"/></url>
<url><loc>https://scifaro.com/en/abs/speculate-correct-error-bounds-for-k-nearest-neighbor-classifiers-1410.2500</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speculate-correct-error-bounds-for-k-nearest-neighbor-classifiers-1410.2500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speculate-correct-error-bounds-for-k-nearest-neighbor-classifiers-1410.2500"/></url>
<url><loc>https://scifaro.com/en/abs/polarization-measurement-of-high-dimensional-social-media-messages-with-support-vector-machine-algorithm-using-mapreduce-1410.2686</loc><lastmod>2015-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polarization-measurement-of-high-dimensional-social-media-messages-with-support-vector-machine-algorithm-using-mapreduce-1410.2686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polarization-measurement-of-high-dimensional-social-media-messages-with-support-vector-machine-algorithm-using-mapreduce-1410.2686"/></url>
<url><loc>https://scifaro.com/en/abs/new-svd-based-initialization-strategy-for-non-negative-matrix-factorization-1410.2786</loc><lastmod>2014-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-svd-based-initialization-strategy-for-non-negative-matrix-factorization-1410.2786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-svd-based-initialization-strategy-for-non-negative-matrix-factorization-1410.2786"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-false-positive-rate-control-in-selection-frequency-for-random-forest-1410.2838</loc><lastmod>2014-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-false-positive-rate-control-in-selection-frequency-for-random-forest-1410.2838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-false-positive-rate-control-in-selection-frequency-for-random-forest-1410.2838"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-techniques-in-cognitive-radio-networks-1410.3145</loc><lastmod>2014-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-techniques-in-cognitive-radio-networks-1410.3145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-techniques-in-cognitive-radio-networks-1410.3145"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-analysis-for-game-theoretic-machine-learning-1410.3341</loc><lastmod>2014-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-analysis-for-game-theoretic-machine-learning-1410.3341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-analysis-for-game-theoretic-machine-learning-1410.3341"/></url>
<url><loc>https://scifaro.com/en/abs/a-stochastic-behavior-analysis-of-stochastic-restricted-gradient-descent-algorithm-in-reproducing-kernel-hilbert-spaces-1410.3595</loc><lastmod>2014-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stochastic-behavior-analysis-of-stochastic-restricted-gradient-descent-algorithm-in-reproducing-kernel-hilbert-spaces-1410.3595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stochastic-behavior-analysis-of-stochastic-restricted-gradient-descent-algorithm-in-reproducing-kernel-hilbert-spaces-1410.3595"/></url>
<url><loc>https://scifaro.com/en/abs/spotting-suspicious-link-behavior-with-fbox-an-adversarial-perspective-1410.3915</loc><lastmod>2015-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spotting-suspicious-link-behavior-with-fbox-an-adversarial-perspective-1410.3915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spotting-suspicious-link-behavior-with-fbox-an-adversarial-perspective-1410.3915"/></url>
<url><loc>https://scifaro.com/en/abs/a-logic-based-approach-to-generatively-defined-discriminative-modeling-1410.3935</loc><lastmod>2014-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-logic-based-approach-to-generatively-defined-discriminative-modeling-1410.3935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-logic-based-approach-to-generatively-defined-discriminative-modeling-1410.3935"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-with-the-online-bootstrap-1410.4009</loc><lastmod>2014-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-with-the-online-bootstrap-1410.4009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-with-the-online-bootstrap-1410.4009"/></url>
<url><loc>https://scifaro.com/en/abs/two-layer-feature-reduction-for-sparse-group-lasso-via-decomposition-of-convex-sets-1410.4210</loc><lastmod>2014-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-layer-feature-reduction-for-sparse-group-lasso-via-decomposition-of-convex-sets-1410.4210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-layer-feature-reduction-for-sparse-group-lasso-via-decomposition-of-convex-sets-1410.4210"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-segmentation-of-kannada-characters-in-offline-handwriting-recognition-using-hidden-markov-models-1410.4341</loc><lastmod>2014-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-segmentation-of-kannada-characters-in-offline-handwriting-recognition-using-hidden-markov-models-1410.4341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-segmentation-of-kannada-characters-in-offline-handwriting-recognition-using-hidden-markov-models-1410.4341"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-hyperplane-regressor-by-minimizing-an-exact-bound-on-the-vc-dimension-1410.4573</loc><lastmod>2017-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-hyperplane-regressor-by-minimizing-an-exact-bound-on-the-vc-dimension-1410.4573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-hyperplane-regressor-by-minimizing-an-exact-bound-on-the-vc-dimension-1410.4573"/></url>
<url><loc>https://scifaro.com/en/abs/non-parametric-bayesian-learning-with-deep-learning-structure-and-its-applications-in-wireless-networks-1410.4599</loc><lastmod>2014-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-parametric-bayesian-learning-with-deep-learning-structure-and-its-applications-in-wireless-networks-1410.4599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-parametric-bayesian-learning-with-deep-learning-structure-and-its-applications-in-wireless-networks-1410.4599"/></url>
<url><loc>https://scifaro.com/en/abs/domain-independent-optimistic-initialization-for-reinforcement-learning-1410.4604</loc><lastmod>2014-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-independent-optimistic-initialization-for-reinforcement-learning-1410.4604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-independent-optimistic-initialization-for-reinforcement-learning-1410.4604"/></url>
<url><loc>https://scifaro.com/en/abs/ms2gd-mini-batch-semi-stochastic-gradient-descent-in-the-proximal-setting-1410.4744</loc><lastmod>2014-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ms2gd-mini-batch-semi-stochastic-gradient-descent-in-the-proximal-setting-1410.4744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ms2gd-mini-batch-semi-stochastic-gradient-descent-in-the-proximal-setting-1410.4744"/></url>
<url><loc>https://scifaro.com/en/abs/on-iterative-hard-thresholding-methods-for-high-dimensional-m-estimation-1410.5137</loc><lastmod>2014-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-iterative-hard-thresholding-methods-for-high-dimensional-m-estimation-1410.5137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-iterative-hard-thresholding-methods-for-high-dimensional-m-estimation-1410.5137"/></url>
<url><loc>https://scifaro.com/en/abs/naive-bayes-and-text-classification-i-introduction-and-theory-1410.5329</loc><lastmod>2017-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/naive-bayes-and-text-classification-i-introduction-and-theory-1410.5329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/naive-bayes-and-text-classification-i-introduction-and-theory-1410.5329"/></url>
<url><loc>https://scifaro.com/en/abs/an-overview-of-general-performance-metrics-of-binary-classifier-systems-1410.5330</loc><lastmod>2014-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-overview-of-general-performance-metrics-of-binary-classifier-systems-1410.5330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-overview-of-general-performance-metrics-of-binary-classifier-systems-1410.5330"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-based-on-confidence-machine-1410.5473</loc><lastmod>2015-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-based-on-confidence-machine-1410.5473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-based-on-confidence-machine-1410.5473"/></url>
<url><loc>https://scifaro.com/en/abs/where-do-goals-come-from-a-generic-approach-to-autonomous-goal-system-development-1410.5557</loc><lastmod>2014-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/where-do-goals-come-from-a-generic-approach-to-autonomous-goal-system-development-1410.5557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/where-do-goals-come-from-a-generic-approach-to-autonomous-goal-system-development-1410.5557"/></url>
<url><loc>https://scifaro.com/en/abs/mean-field-networks-1410.5884</loc><lastmod>2014-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-field-networks-1410.5884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-field-networks-1410.5884"/></url>
<url><loc>https://scifaro.com/en/abs/cosine-similarity-measure-according-to-a-convex-cost-function-1410.6093</loc><lastmod>2014-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cosine-similarity-measure-according-to-a-convex-cost-function-1410.6093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cosine-similarity-measure-according-to-a-convex-cost-function-1410.6093"/></url>
<url><loc>https://scifaro.com/en/abs/attribute-efficient-linear-regression-with-data-dependent-sampling-1410.6382</loc><lastmod>2014-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attribute-efficient-linear-regression-with-data-dependent-sampling-1410.6382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attribute-efficient-linear-regression-with-data-dependent-sampling-1410.6382"/></url>
<url><loc>https://scifaro.com/en/abs/a-parallel-and-efficient-algorithm-for-learning-to-match-1410.6414</loc><lastmod>2014-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-parallel-and-efficient-algorithm-for-learning-to-match-1410.6414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-parallel-and-efficient-algorithm-for-learning-to-match-1410.6414"/></url>
<url><loc>https://scifaro.com/en/abs/online-and-stochastic-gradient-methods-for-non-decomposable-loss-functions-1410.6776</loc><lastmod>2014-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-and-stochastic-gradient-methods-for-non-decomposable-loss-functions-1410.6776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-and-stochastic-gradient-methods-for-non-decomposable-loss-functions-1410.6776"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-and-non-differentially-private-random-decision-trees-1410.6973</loc><lastmod>2015-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-and-non-differentially-private-random-decision-trees-1410.6973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-and-non-differentially-private-random-decision-trees-1410.6973"/></url>
<url><loc>https://scifaro.com/en/abs/notes-on-using-determinantal-point-processes-for-clustering-with-applications-to-text-clustering-1410.6975</loc><lastmod>2014-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/notes-on-using-determinantal-point-processes-for-clustering-with-applications-to-text-clustering-1410.6975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/notes-on-using-determinantal-point-processes-for-clustering-with-applications-to-text-clustering-1410.6975"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-distributed-learning-via-heterogeneous-diffusion-adaptive-networks-1410.7057</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-distributed-learning-via-heterogeneous-diffusion-adaptive-networks-1410.7057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-distributed-learning-via-heterogeneous-diffusion-adaptive-networks-1410.7057"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-driven-method-for-syndrome-type-identification-and-classification-in-traditional-chinese-medicine-1410.7140</loc><lastmod>2016-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-driven-method-for-syndrome-type-identification-and-classification-in-traditional-chinese-medicine-1410.7140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-driven-method-for-syndrome-type-identification-and-classification-in-traditional-chinese-medicine-1410.7140"/></url>
<url><loc>https://scifaro.com/en/abs/heteroscedastic-treed-bayesian-optimisation-1410.7172</loc><lastmod>2015-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heteroscedastic-treed-bayesian-optimisation-1410.7172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heteroscedastic-treed-bayesian-optimisation-1410.7172"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-through-minimization-of-the-vc-dimension-1410.7372</loc><lastmod>2014-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-through-minimization-of-the-vc-dimension-1410.7372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-through-minimization-of-the-vc-dimension-1410.7372"/></url>
<url><loc>https://scifaro.com/en/abs/fast-algorithms-for-online-stochastic-convex-programming-1410.7596</loc><lastmod>2014-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-algorithms-for-online-stochastic-convex-programming-1410.7596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-algorithms-for-online-stochastic-convex-programming-1410.7596"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graphical-models-from-the-glauber-dynamics-1410.7659</loc><lastmod>2014-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graphical-models-from-the-glauber-dynamics-1410.7659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graphical-models-from-the-glauber-dynamics-1410.7659"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-framework-using-rule-extraction-for-efficient-intrusion-detection-1410.7709</loc><lastmod>2014-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-framework-using-rule-extraction-for-efficient-intrusion-detection-1410.7709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-framework-using-rule-extraction-for-efficient-intrusion-detection-1410.7709"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-product-of-experts-for-automatic-and-principled-fusion-of-gaussian-process-predictions-1410.7827</loc><lastmod>2015-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-product-of-experts-for-automatic-and-principled-fusion-of-gaussian-process-predictions-1410.7827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-product-of-experts-for-automatic-and-principled-fusion-of-gaussian-process-predictions-1410.7827"/></url>
<url><loc>https://scifaro.com/en/abs/fast-learning-of-relational-dependency-networks-1410.7835</loc><lastmod>2014-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-learning-of-relational-dependency-networks-1410.7835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-learning-of-relational-dependency-networks-1410.7835"/></url>
<url><loc>https://scifaro.com/en/abs/a-markov-decision-process-analysis-of-the-cold-start-problem-in-bayesian-information-filtering-1410.7852</loc><lastmod>2014-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-markov-decision-process-analysis-of-the-cold-start-problem-in-bayesian-information-filtering-1410.7852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-markov-decision-process-analysis-of-the-cold-start-problem-in-bayesian-information-filtering-1410.7852"/></url>
<url><loc>https://scifaro.com/en/abs/global-bandits-with-holder-continuity-1410.7890</loc><lastmod>2014-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-bandits-with-holder-continuity-1410.7890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-bandits-with-holder-continuity-1410.7890"/></url>
<url><loc>https://scifaro.com/en/abs/latent-feature-based-fm-model-for-rating-prediction-1410.8034</loc><lastmod>2014-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-feature-based-fm-model-for-rating-prediction-1410.8034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-feature-based-fm-model-for-rating-prediction-1410.8034"/></url>
<url><loc>https://scifaro.com/en/abs/high-performance-distributed-ml-at-scale-through-parameter-server-consistency-models-1410.8043</loc><lastmod>2014-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-performance-distributed-ml-at-scale-through-parameter-server-consistency-models-1410.8043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-performance-distributed-ml-at-scale-through-parameter-server-consistency-models-1410.8043"/></url>
<url><loc>https://scifaro.com/en/abs/notes-on-noise-contrastive-estimation-and-negative-sampling-1410.8251</loc><lastmod>2014-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/notes-on-noise-contrastive-estimation-and-negative-sampling-1410.8251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/notes-on-noise-contrastive-estimation-and-negative-sampling-1410.8251"/></url>
<url><loc>https://scifaro.com/en/abs/towards-learning-object-affordance-priors-from-technical-texts-1410.8326</loc><lastmod>2014-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-learning-object-affordance-priors-from-technical-texts-1410.8326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-learning-object-affordance-priors-from-technical-texts-1410.8326"/></url>
<url><loc>https://scifaro.com/en/abs/nice-non-linear-independent-components-estimation-1410.8516</loc><lastmod>2015-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nice-non-linear-independent-components-estimation-1410.8516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nice-non-linear-independent-components-estimation-1410.8516"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-learning-algorithms-on-the-arcade-learning-environment-1410.8620</loc><lastmod>2014-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-learning-algorithms-on-the-arcade-learning-environment-1410.8620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-learning-algorithms-on-the-arcade-learning-environment-1410.8620"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixtures-of-ranking-models-1410.8750</loc><lastmod>2014-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixtures-of-ranking-models-1410.8750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixtures-of-ranking-models-1410.8750"/></url>
<url><loc>https://scifaro.com/en/abs/validation-of-matching-1411.0023</loc><lastmod>2016-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/validation-of-matching-1411.0023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/validation-of-matching-1411.0023"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-density-estimation-in-near-linear-time-using-variable-width-histograms-1411.0169</loc><lastmod>2014-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-density-estimation-in-near-linear-time-using-variable-width-histograms-1411.0169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-density-estimation-in-near-linear-time-using-variable-width-histograms-1411.0169"/></url>
<url><loc>https://scifaro.com/en/abs/synchronization-clustering-based-on-a-linearized-version-of-vicsek-model-1411.0189</loc><lastmod>2014-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synchronization-clustering-based-on-a-linearized-version-of-vicsek-model-1411.0189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synchronization-clustering-based-on-a-linearized-version-of-vicsek-model-1411.0189"/></url>
<url><loc>https://scifaro.com/en/abs/geodesic-exponential-kernels-when-curvature-and-linearity-conflict-1411.0296</loc><lastmod>2014-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geodesic-exponential-kernels-when-curvature-and-linearity-conflict-1411.0296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geodesic-exponential-kernels-when-curvature-and-linearity-conflict-1411.0296"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-submodular-maximization-1411.0541</loc><lastmod>2016-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-submodular-maximization-1411.0541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-submodular-maximization-1411.0541"/></url>
<url><loc>https://scifaro.com/en/abs/correlation-clustering-with-constrained-cluster-sizes-and-extended-weights-bounds-1411.0547</loc><lastmod>2015-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlation-clustering-with-constrained-cluster-sizes-and-extended-weights-bounds-1411.0547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlation-clustering-with-constrained-cluster-sizes-and-extended-weights-bounds-1411.0547"/></url>
<url><loc>https://scifaro.com/en/abs/factorbird-a-parameter-server-approach-to-distributed-matrix-factorization-1411.0602</loc><lastmod>2014-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factorbird-a-parameter-server-approach-to-distributed-matrix-factorization-1411.0602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factorbird-a-parameter-server-approach-to-distributed-matrix-factorization-1411.0602"/></url>
<url><loc>https://scifaro.com/en/abs/approachability-in-stackelberg-stochastic-games-with-vector-costs-1411.0728</loc><lastmod>2016-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approachability-in-stackelberg-stochastic-games-with-vector-costs-1411.0728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approachability-in-stackelberg-stochastic-games-with-vector-costs-1411.0728"/></url>
<url><loc>https://scifaro.com/en/abs/cur-algorithm-for-partially-observed-matrices-1411.0860</loc><lastmod>2014-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cur-algorithm-for-partially-observed-matrices-1411.0860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cur-algorithm-for-partially-observed-matrices-1411.0860"/></url>
<url><loc>https://scifaro.com/en/abs/iterated-geometric-harmonics-for-data-imputation-and-reconstruction-of-missing-data-1411.0997</loc><lastmod>2014-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterated-geometric-harmonics-for-data-imputation-and-reconstruction-of-missing-data-1411.0997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterated-geometric-harmonics-for-data-imputation-and-reconstruction-of-missing-data-1411.0997"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-model-for-tensor-pca-1411.1076</loc><lastmod>2014-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-model-for-tensor-pca-1411.1076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-model-for-tensor-pca-1411.1076"/></url>
<url><loc>https://scifaro.com/en/abs/projecting-markov-random-field-parameters-for-fast-mixing-1411.1119</loc><lastmod>2014-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projecting-markov-random-field-parameters-for-fast-mixing-1411.1119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projecting-markov-random-field-parameters-for-fast-mixing-1411.1119"/></url>
<url><loc>https://scifaro.com/en/abs/global-convergence-of-stochastic-gradient-descent-for-some-non-convex-matrix-problems-1411.1134</loc><lastmod>2015-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convergence-of-stochastic-gradient-descent-for-some-non-convex-matrix-problems-1411.1134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convergence-of-stochastic-gradient-descent-for-some-non-convex-matrix-problems-1411.1134"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-random-field-autoencoders-for-unsupervised-structured-prediction-1411.1147</loc><lastmod>2014-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-random-field-autoencoders-for-unsupervised-structured-prediction-1411.1147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-random-field-autoencoders-for-unsupervised-structured-prediction-1411.1147"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-complexity-of-learning-with-kernels-1411.1158</loc><lastmod>2014-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-complexity-of-learning-with-kernels-1411.1158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-complexity-of-learning-with-kernels-1411.1158"/></url>
<url><loc>https://scifaro.com/en/abs/eigenvectors-of-orthogonally-decomposable-functions-1411.1420</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigenvectors-of-orthogonally-decomposable-functions-1411.1420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigenvectors-of-orthogonally-decomposable-functions-1411.1420"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-information-theoretic-limits-of-learning-ising-models-1411.1434</loc><lastmod>2014-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-information-theoretic-limits-of-learning-ising-models-1411.1434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-information-theoretic-limits-of-learning-ising-models-1411.1434"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-tensor-power-method-dynamics-in-overcomplete-regime-1411.1488</loc><lastmod>2015-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-tensor-power-method-dynamics-in-overcomplete-regime-1411.1488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-tensor-power-method-dynamics-in-overcomplete-regime-1411.1488"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-representations-for-life-long-learning-and-autoencoding-1411.1490</loc><lastmod>2014-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-representations-for-life-long-learning-and-autoencoding-1411.1490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-representations-for-life-long-learning-and-autoencoding-1411.1490"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-recurrent-neural-network-for-music-transcription-1411.1623</loc><lastmod>2014-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-recurrent-neural-network-for-music-transcription-1411.1623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-recurrent-neural-network-for-music-transcription-1411.1623"/></url>
<url><loc>https://scifaro.com/en/abs/submodular-meets-structured-finding-diverse-subsets-in-exponentially-large-structured-item-sets-1411.1752</loc><lastmod>2014-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/submodular-meets-structured-finding-diverse-subsets-in-exponentially-large-structured-item-sets-1411.1752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/submodular-meets-structured-finding-diverse-subsets-in-exponentially-large-structured-item-sets-1411.1752"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-generative-adversarial-nets-1411.1784</loc><lastmod>2014-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-generative-adversarial-nets-1411.1784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-generative-adversarial-nets-1411.1784"/></url>
<url><loc>https://scifaro.com/en/abs/how-transferable-are-features-in-deep-neural-networks-1411.1792</loc><lastmod>2014-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-transferable-are-features-in-deep-neural-networks-1411.1792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-transferable-are-features-in-deep-neural-networks-1411.1792"/></url>
<url><loc>https://scifaro.com/en/abs/a-totally-unimodular-view-of-structured-sparsity-1411.1990</loc><lastmod>2015-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-totally-unimodular-view-of-structured-sparsity-1411.1990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-totally-unimodular-view-of-structured-sparsity-1411.1990"/></url>
<url><loc>https://scifaro.com/en/abs/online-collaborative-filtering-on-graphs-1411.2057</loc><lastmod>2014-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-collaborative-filtering-on-graphs-1411.2057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-collaborative-filtering-on-graphs-1411.2057"/></url>
<url><loc>https://scifaro.com/en/abs/similarity-learning-for-high-dimensional-sparse-data-1411.2374</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/similarity-learning-for-high-dimensional-sparse-data-1411.2374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/similarity-learning-for-high-dimensional-sparse-data-1411.2374"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-visual-semantic-embeddings-with-multimodal-neural-language-models-1411.2539</loc><lastmod>2014-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-visual-semantic-embeddings-with-multimodal-neural-language-models-1411.2539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-visual-semantic-embeddings-with-multimodal-neural-language-models-1411.2539"/></url>
<url><loc>https://scifaro.com/en/abs/a-chain-rule-for-the-expected-suprema-of-gaussian-processes-1411.2635</loc><lastmod>2014-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-chain-rule-for-the-expected-suprema-of-gaussian-processes-1411.2635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-chain-rule-for-the-expected-suprema-of-gaussian-processes-1411.2635"/></url>
<url><loc>https://scifaro.com/en/abs/preserving-statistical-validity-in-adaptive-data-analysis-1411.2664</loc><lastmod>2016-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preserving-statistical-validity-in-adaptive-data-analysis-1411.2664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preserving-statistical-validity-in-adaptive-data-analysis-1411.2664"/></url>
<url><loc>https://scifaro.com/en/abs/bounded-regret-for-finite-armed-structured-bandits-1411.2919</loc><lastmod>2014-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounded-regret-for-finite-armed-structured-bandits-1411.2919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounded-regret-for-finite-armed-structured-bandits-1411.2919"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multi-instance-transfer-learning-1411.3128</loc><lastmod>2014-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multi-instance-transfer-learning-1411.3128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multi-instance-transfer-learning-1411.3128"/></url>
<url><loc>https://scifaro.com/en/abs/on-td-0-with-function-approximation-concentration-bounds-and-a-centered-variant-with-exponential-convergence-1411.3224</loc><lastmod>2015-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-td-0-with-function-approximation-concentration-bounds-and-a-centered-variant-with-exponential-convergence-1411.3224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-td-0-with-function-approximation-concentration-bounds-and-a-centered-variant-with-exponential-convergence-1411.3224"/></url>
<url><loc>https://scifaro.com/en/abs/using-gaussian-measures-for-efficient-constraint-based-clustering-1411.3302</loc><lastmod>2014-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-gaussian-measures-for-efficient-constraint-based-clustering-1411.3302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-gaussian-measures-for-efficient-constraint-based-clustering-1411.3302"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-metrics-in-orthogonal-greedy-learning-1411.3553</loc><lastmod>2014-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-metrics-in-orthogonal-greedy-learning-1411.3553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-metrics-in-orthogonal-greedy-learning-1411.3553"/></url>
<url><loc>https://scifaro.com/en/abs/minimal-realization-problems-for-hidden-markov-models-1411.3698</loc><lastmod>2015-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimal-realization-problems-for-hidden-markov-models-1411.3698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimal-realization-problems-for-hidden-markov-models-1411.3698"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-encoding-of-contextual-relationships-for-perceptual-inference-interpolation-and-prediction-1411.3815</loc><lastmod>2015-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-encoding-of-contextual-relationships-for-perceptual-inference-interpolation-and-prediction-1411.3815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-encoding-of-contextual-relationships-for-perceptual-inference-interpolation-and-prediction-1411.3815"/></url>
<url><loc>https://scifaro.com/en/abs/sample-targeted-clinical-trial-adaptation-1411.3919</loc><lastmod>2014-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-targeted-clinical-trial-adaptation-1411.3919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-targeted-clinical-trial-adaptation-1411.3919"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-scale-up-kernel-methods-to-be-as-good-as-deep-neural-nets-1411.4000</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-scale-up-kernel-methods-to-be-as-good-as-deep-neural-nets-1411.4000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-scale-up-kernel-methods-to-be-as-good-as-deep-neural-nets-1411.4000"/></url>
<url><loc>https://scifaro.com/en/abs/deep-belief-network-training-improvement-using-elite-samples-minimizing-free-energy-1411.4046</loc><lastmod>2015-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-belief-network-training-improvement-using-elite-samples-minimizing-free-energy-1411.4046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-belief-network-training-improvement-using-elite-samples-minimizing-free-energy-1411.4046"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-robust-convex-segmentation-1411.4503</loc><lastmod>2014-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-robust-convex-segmentation-1411.4503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-robust-convex-segmentation-1411.4503"/></url>
<url><loc>https://scifaro.com/en/abs/learning-nonparametric-differential-equations-with-operator-valued-kernels-and-gradient-matching-1411.5172</loc><lastmod>2014-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-nonparametric-differential-equations-with-operator-valued-kernels-and-gradient-matching-1411.5172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-nonparametric-differential-equations-with-operator-valued-kernels-and-gradient-matching-1411.5172"/></url>
<url><loc>https://scifaro.com/en/abs/private-empirical-risk-minimization-beyond-the-worst-case-the-effect-of-the-constraint-set-geometry-1411.5417</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-empirical-risk-minimization-beyond-the-worst-case-the-effect-of-the-constraint-set-geometry-1411.5417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-empirical-risk-minimization-beyond-the-worst-case-the-effect-of-the-constraint-set-geometry-1411.5417"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-algorithms-for-empirical-machine-learning-1411.5428</loc><lastmod>2014-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-algorithms-for-empirical-machine-learning-1411.5428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-algorithms-for-empirical-machine-learning-1411.5428"/></url>
<url><loc>https://scifaro.com/en/abs/no-regret-learnability-for-piecewise-linear-losses-1411.5649</loc><lastmod>2016-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-regret-learnability-for-piecewise-linear-losses-1411.5649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-regret-learnability-for-piecewise-linear-losses-1411.5649"/></url>
<url><loc>https://scifaro.com/en/abs/pu-learning-for-matrix-completion-1411.6081</loc><lastmod>2014-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pu-learning-for-matrix-completion-1411.6081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pu-learning-for-matrix-completion-1411.6081"/></url>
<url><loc>https://scifaro.com/en/abs/efficiently-learning-ising-models-on-arbitrary-graphs-1411.6156</loc><lastmod>2014-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiently-learning-ising-models-on-arbitrary-graphs-1411.6156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiently-learning-ising-models-on-arbitrary-graphs-1411.6156"/></url>
<url><loc>https://scifaro.com/en/abs/kickback-cuts-backprop-s-red-tape-biologically-plausible-credit-assignment-in-neural-networks-1411.6191</loc><lastmod>2014-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kickback-cuts-backprop-s-red-tape-biologically-plausible-credit-assignment-in-neural-networks-1411.6191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kickback-cuts-backprop-s-red-tape-biologically-plausible-credit-assignment-in-neural-networks-1411.6191"/></url>
<url><loc>https://scifaro.com/en/abs/compound-rank-k-projections-for-bilinear-analysis-1411.6231</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compound-rank-k-projections-for-bilinear-analysis-1411.6231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compound-rank-k-projections-for-bilinear-analysis-1411.6231"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-feature-analysis-by-mining-correlations-among-multiple-tasks-1411.6232</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-feature-analysis-by-mining-correlations-among-multiple-tasks-1411.6232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-feature-analysis-by-mining-correlations-among-multiple-tasks-1411.6232"/></url>
<url><loc>https://scifaro.com/en/abs/a-convex-sparse-pca-for-feature-analysis-1411.6233</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convex-sparse-pca-for-feature-analysis-1411.6233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convex-sparse-pca-for-feature-analysis-1411.6233"/></url>
<url><loc>https://scifaro.com/en/abs/balanced-k-means-and-min-cut-clustering-1411.6235</loc><lastmod>2014-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balanced-k-means-and-min-cut-clustering-1411.6235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balanced-k-means-and-min-cut-clustering-1411.6235"/></url>
<url><loc>https://scifaro.com/en/abs/improved-spectral-clustering-via-embedded-label-propagation-1411.6241</loc><lastmod>2015-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-spectral-clustering-via-embedded-label-propagation-1411.6241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-spectral-clustering-via-embedded-label-propagation-1411.6241"/></url>
<url><loc>https://scifaro.com/en/abs/structure-regularization-for-structured-prediction-theories-and-experiments-1411.6243</loc><lastmod>2015-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-regularization-for-structured-prediction-theories-and-experiments-1411.6243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-regularization-for-structured-prediction-theories-and-experiments-1411.6243"/></url>
<url><loc>https://scifaro.com/en/abs/revenue-optimization-in-posted-price-auctions-with-strategic-buyers-1411.6305</loc><lastmod>2014-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revenue-optimization-in-posted-price-auctions-with-strategic-buyers-1411.6305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revenue-optimization-in-posted-price-auctions-with-strategic-buyers-1411.6305"/></url>
<url><loc>https://scifaro.com/en/abs/diversifying-sparsity-using-variational-determinantal-point-processes-1411.6307</loc><lastmod>2014-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversifying-sparsity-using-variational-determinantal-point-processes-1411.6307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversifying-sparsity-using-variational-determinantal-point-processes-1411.6307"/></url>
<url><loc>https://scifaro.com/en/abs/a-convex-formulation-for-spectral-shrunk-clustering-1411.6308</loc><lastmod>2014-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convex-formulation-for-spectral-shrunk-clustering-1411.6308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convex-formulation-for-spectral-shrunk-clustering-1411.6308"/></url>
<url><loc>https://scifaro.com/en/abs/big-learning-with-bayesian-methods-1411.6370</loc><lastmod>2017-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/big-learning-with-bayesian-methods-1411.6370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/big-learning-with-bayesian-methods-1411.6370"/></url>
<url><loc>https://scifaro.com/en/abs/a-latent-source-model-for-online-collaborative-filtering-1411.6591</loc><lastmod>2014-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-latent-source-model-for-online-collaborative-filtering-1411.6591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-latent-source-model-for-online-collaborative-filtering-1411.6591"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-parallel-optimization-methods-for-large-scale-machine-learning-1411.6725</loc><lastmod>2014-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-parallel-optimization-methods-for-large-scale-machine-learning-1411.6725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-parallel-optimization-methods-for-large-scale-machine-learning-1411.6725"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-algorithms-for-bayesian-network-parameter-learning-from-incomplete-data-1411.7014</loc><lastmod>2014-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-algorithms-for-bayesian-network-parameter-learning-from-incomplete-data-1411.7014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-algorithms-for-bayesian-network-parameter-learning-from-incomplete-data-1411.7014"/></url>
<url><loc>https://scifaro.com/en/abs/worst-case-linear-discriminant-analysis-as-scalable-semidefinite-feasibility-problems-1411.7450</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/worst-case-linear-discriminant-analysis-as-scalable-semidefinite-feasibility-problems-1411.7450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/worst-case-linear-discriminant-analysis-as-scalable-semidefinite-feasibility-problems-1411.7450"/></url>
<url><loc>https://scifaro.com/en/abs/graph-sensitive-indices-for-comparing-clusterings-1411.7582</loc><lastmod>2014-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-sensitive-indices-for-comparing-clusterings-1411.7582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-sensitive-indices-for-comparing-clusterings-1411.7582"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-expressive-efficiency-of-sum-product-networks-1411.7717</loc><lastmod>2015-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-expressive-efficiency-of-sum-product-networks-1411.7717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-expressive-efficiency-of-sum-product-networks-1411.7717"/></url>
<url><loc>https://scifaro.com/en/abs/bus-travel-time-predictions-using-additive-models-1411.7973</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bus-travel-time-predictions-using-additive-models-1411.7973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bus-travel-time-predictions-using-additive-models-1411.7973"/></url>
<url><loc>https://scifaro.com/en/abs/guaranteed-matrix-completion-via-non-convex-factorization-1411.8003</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guaranteed-matrix-completion-via-non-convex-factorization-1411.8003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guaranteed-matrix-completion-via-non-convex-factorization-1411.8003"/></url>
<url><loc>https://scifaro.com/en/abs/constant-step-size-least-mean-square-bias-variance-trade-offs-and-optimal-sampling-distributions-1412.0156</loc><lastmod>2014-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constant-step-size-least-mean-square-bias-variance-trade-offs-and-optimal-sampling-distributions-1412.0156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constant-step-size-least-mean-square-bias-variance-trade-offs-and-optimal-sampling-distributions-1412.0156"/></url>
<url><loc>https://scifaro.com/en/abs/the-loss-surfaces-of-multilayer-networks-1412.0233</loc><lastmod>2015-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-loss-surfaces-of-multilayer-networks-1412.0233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-loss-surfaces-of-multilayer-networks-1412.0233"/></url>
<url><loc>https://scifaro.com/en/abs/easy-hyperparameter-search-using-optunity-1412.1114</loc><lastmod>2014-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/easy-hyperparameter-search-using-optunity-1412.1114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/easy-hyperparameter-search-using-optunity-1412.1114"/></url>
<url><loc>https://scifaro.com/en/abs/highly-comparative-fetal-heart-rate-analysis-1412.1138</loc><lastmod>2014-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/highly-comparative-fetal-heart-rate-analysis-1412.1138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/highly-comparative-fetal-heart-rate-analysis-1412.1138"/></url>
<url><loc>https://scifaro.com/en/abs/new-insights-and-perspectives-on-the-natural-gradient-method-1412.1193</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-insights-and-perspectives-on-the-natural-gradient-method-1412.1193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-insights-and-perspectives-on-the-natural-gradient-method-1412.1193"/></url>
<url><loc>https://scifaro.com/en/abs/deep-distributed-random-samplings-for-supervised-learning-an-alternative-to-random-forests-1412.1271</loc><lastmod>2015-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-distributed-random-samplings-for-supervised-learning-an-alternative-to-random-forests-1412.1271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-distributed-random-samplings-for-supervised-learning-an-alternative-to-random-forests-1412.1271"/></url>
<url><loc>https://scifaro.com/en/abs/skip-gram-language-modeling-using-sparse-non-negative-matrix-probability-estimation-1412.1454</loc><lastmod>2015-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skip-gram-language-modeling-using-sparse-non-negative-matrix-probability-estimation-1412.1454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skip-gram-language-modeling-using-sparse-non-negative-matrix-probability-estimation-1412.1454"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-string-kernel-pre-image-problem-with-applications-in-drug-discovery-1412.1463</loc><lastmod>2014-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-string-kernel-pre-image-problem-with-applications-in-drug-discovery-1412.1463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-string-kernel-pre-image-problem-with-applications-in-drug-discovery-1412.1463"/></url>
<url><loc>https://scifaro.com/en/abs/fast-rates-by-transferring-from-auxiliary-hypotheses-1412.1619</loc><lastmod>2016-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-rates-by-transferring-from-auxiliary-hypotheses-1412.1619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-rates-by-transferring-from-auxiliary-hypotheses-1412.1619"/></url>
<url><loc>https://scifaro.com/en/abs/primal-dual-algorithms-for-non-negative-matrix-factorization-with-the-kullback-leibler-divergence-1412.1788</loc><lastmod>2014-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/primal-dual-algorithms-for-non-negative-matrix-factorization-with-the-kullback-leibler-divergence-1412.1788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/primal-dual-algorithms-for-non-negative-matrix-factorization-with-the-kullback-leibler-divergence-1412.1788"/></url>
<url><loc>https://scifaro.com/en/abs/a-parallel-sampling-based-clustering-1412.1947</loc><lastmod>2014-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-parallel-sampling-based-clustering-1412.1947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-parallel-sampling-based-clustering-1412.1947"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-optimization-of-ams-by-logistic-loss-minimization-1412.2106</loc><lastmod>2014-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-optimization-of-ams-by-logistic-loss-minimization-1412.2106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-optimization-of-ams-by-logistic-loss-minimization-1412.2106"/></url>
<url><loc>https://scifaro.com/en/abs/relations-among-some-low-rank-subspace-recovery-models-1412.2196</loc><lastmod>2014-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relations-among-some-low-rank-subspace-recovery-models-1412.2196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relations-among-some-low-rank-subspace-recovery-models-1412.2196"/></url>
<url><loc>https://scifaro.com/en/abs/theano-based-large-scale-visual-recognition-with-multiple-gpus-1412.2302</loc><lastmod>2015-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theano-based-large-scale-visual-recognition-with-multiple-gpus-1412.2302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theano-based-large-scale-visual-recognition-with-multiple-gpus-1412.2302"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-reduction-with-subspace-structure-preservation-1412.2404</loc><lastmod>2016-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-reduction-with-subspace-structure-preservation-1412.2404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-reduction-with-subspace-structure-preservation-1412.2404"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-streaming-support-vector-machines-1412.2485</loc><lastmod>2014-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-streaming-support-vector-machines-1412.2485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-streaming-support-vector-machines-1412.2485"/></url>
<url><loc>https://scifaro.com/en/abs/provable-methods-for-training-neural-networks-with-sparse-connectivity-1412.2693</loc><lastmod>2015-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-methods-for-training-neural-networks-with-sparse-connectivity-1412.2693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-methods-for-training-neural-networks-with-sparse-connectivity-1412.2693"/></url>
<url><loc>https://scifaro.com/en/abs/score-function-features-for-discriminative-learning-matrix-and-tensor-framework-1412.2863</loc><lastmod>2014-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/score-function-features-for-discriminative-learning-matrix-and-tensor-framework-1412.2863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/score-function-features-for-discriminative-learning-matrix-and-tensor-framework-1412.2863"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-fisher-s-discriminant-for-functional-data-1412.2929</loc><lastmod>2014-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-fisher-s-discriminant-for-functional-data-1412.2929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-fisher-s-discriminant-for-functional-data-1412.2929"/></url>
<url><loc>https://scifaro.com/en/abs/provable-tensor-methods-for-learning-mixtures-of-generalized-linear-models-1412.3046</loc><lastmod>2016-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-tensor-methods-for-learning-mixtures-of-generalized-linear-models-1412.3046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-tensor-methods-for-learning-mixtures-of-generalized-linear-models-1412.3046"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-with-heterophily-1412.3100</loc><lastmod>2016-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-with-heterophily-1412.3100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-with-heterophily-1412.3100"/></url>
<url><loc>https://scifaro.com/en/abs/generalised-entropy-mdps-and-minimax-regret-1412.3276</loc><lastmod>2014-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalised-entropy-mdps-and-minimax-regret-1412.3276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalised-entropy-mdps-and-minimax-regret-1412.3276"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-labeling-with-online-deep-learning-1412.3397</loc><lastmod>2015-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-labeling-with-online-deep-learning-1412.3397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-labeling-with-online-deep-learning-1412.3397"/></url>
<url><loc>https://scifaro.com/en/abs/a-topic-modeling-approach-to-ranking-1412.3705</loc><lastmod>2015-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-topic-modeling-approach-to-ranking-1412.3705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-topic-modeling-approach-to-ranking-1412.3705"/></url>
<url><loc>https://scifaro.com/en/abs/distinguishing-cause-from-effect-using-observational-data-methods-and-benchmarks-1412.3773</loc><lastmod>2016-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distinguishing-cause-from-effect-using-observational-data-methods-and-benchmarks-1412.3773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distinguishing-cause-from-effect-using-observational-data-methods-and-benchmarks-1412.3773"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-neuroimaging-with-scikit-learn-1412.3919</loc><lastmod>2014-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-neuroimaging-with-scikit-learn-1412.3919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-neuroimaging-with-scikit-learn-1412.3919"/></url>
<url><loc>https://scifaro.com/en/abs/an-evaluation-of-support-vector-machines-as-a-pattern-recognition-tool-1412.4186</loc><lastmod>2014-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-evaluation-of-support-vector-machines-as-a-pattern-recognition-tool-1412.4186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-evaluation-of-support-vector-machines-as-a-pattern-recognition-tool-1412.4186"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-inductive-bias-of-dropout-1412.4736</loc><lastmod>2017-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-inductive-bias-of-dropout-1412.4736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-inductive-bias-of-dropout-1412.4736"/></url>
<url><loc>https://scifaro.com/en/abs/max-margin-based-discriminative-feature-learning-1412.4863</loc><lastmod>2017-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-margin-based-discriminative-feature-learning-1412.4863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-margin-based-discriminative-feature-learning-1412.4863"/></url>
<url><loc>https://scifaro.com/en/abs/towards-deep-neural-network-architectures-robust-to-adversarial-examples-1412.5068</loc><lastmod>2015-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-deep-neural-network-architectures-robust-to-adversarial-examples-1412.5068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-deep-neural-network-architectures-robust-to-adversarial-examples-1412.5068"/></url>
<url><loc>https://scifaro.com/en/abs/learning-unbiased-features-1412.5244</loc><lastmod>2014-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-unbiased-features-1412.5244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-unbiased-features-1412.5244"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-analysis-of-an-empirical-minimum-error-entropy-algorithm-1412.5272</loc><lastmod>2014-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-analysis-of-an-empirical-minimum-error-entropy-algorithm-1412.5272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-analysis-of-an-empirical-minimum-error-entropy-algorithm-1412.5272"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-data-with-heterogeneous-noise-using-sgd-1412.5617</loc><lastmod>2014-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-data-with-heterogeneous-noise-using-sgd-1412.5617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-data-with-heterogeneous-noise-using-sgd-1412.5617"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-structure-embedded-online-multiple-output-regression-for-stream-data-1412.5732</loc><lastmod>2015-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-structure-embedded-online-multiple-output-regression-for-stream-data-1412.5732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-structure-embedded-online-multiple-output-regression-for-stream-data-1412.5732"/></url>
<url><loc>https://scifaro.com/en/abs/nearest-descent-in-tree-and-clustering-1412.5902</loc><lastmod>2018-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearest-descent-in-tree-and-clustering-1412.5902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearest-descent-in-tree-and-clustering-1412.5902"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-distributed-distance-metric-learning-1412.5949</loc><lastmod>2014-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-distributed-distance-metric-learning-1412.5949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-distributed-distance-metric-learning-1412.5949"/></url>
<url><loc>https://scifaro.com/en/abs/learning-temporal-dependencies-in-data-using-a-dbn-blstm-1412.6093</loc><lastmod>2014-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-temporal-dependencies-in-data-using-a-dbn-blstm-1412.6093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-temporal-dependencies-in-data-using-a-dbn-blstm-1412.6093"/></url>
<url><loc>https://scifaro.com/en/abs/example-selection-for-dictionary-learning-1412.6177</loc><lastmod>2015-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/example-selection-for-dictionary-learning-1412.6177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/example-selection-for-dictionary-learning-1412.6177"/></url>
<url><loc>https://scifaro.com/en/abs/crypto-nets-neural-networks-over-encrypted-data-1412.6181</loc><lastmod>2014-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crypto-nets-neural-networks-over-encrypted-data-1412.6181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crypto-nets-neural-networks-over-encrypted-data-1412.6181"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-authors-detection-a-quantitative-analysis-of-dream-of-the-red-chamber-1412.6211</loc><lastmod>2014-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-authors-detection-a-quantitative-analysis-of-dream-of-the-red-chamber-1412.6211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-authors-detection-a-quantitative-analysis-of-dream-of-the-red-chamber-1412.6211"/></url>
<url><loc>https://scifaro.com/en/abs/gradual-training-of-deep-denoising-auto-encoders-1412.6257</loc><lastmod>2014-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradual-training-of-deep-denoising-auto-encoders-1412.6257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradual-training-of-deep-denoising-auto-encoders-1412.6257"/></url>
<url><loc>https://scifaro.com/en/abs/from-dependency-to-causality-a-machine-learning-approach-1412.6285</loc><lastmod>2014-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-dependency-to-causality-a-machine-learning-approach-1412.6285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-dependency-to-causality-a-machine-learning-approach-1412.6285"/></url>
<url><loc>https://scifaro.com/en/abs/regression-with-linear-factored-functions-1412.6286</loc><lastmod>2015-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-with-linear-factored-functions-1412.6286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-with-linear-factored-functions-1412.6286"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-decision-trees-1412.6388</loc><lastmod>2014-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-decision-trees-1412.6388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-decision-trees-1412.6388"/></url>
<url><loc>https://scifaro.com/en/abs/grounding-hierarchical-reinforcement-learning-models-for-knowledge-transfer-1412.6451</loc><lastmod>2014-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grounding-hierarchical-reinforcement-learning-models-for-knowledge-transfer-1412.6451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grounding-hierarchical-reinforcement-learning-models-for-knowledge-transfer-1412.6451"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-robustness-for-learning-via-epsilon-gamma-tau-good-similarity-functions-1412.6452</loc><lastmod>2015-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-robustness-for-learning-via-epsilon-gamma-tau-good-similarity-functions-1412.6452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-robustness-for-learning-via-epsilon-gamma-tau-good-similarity-functions-1412.6452"/></url>
<url><loc>https://scifaro.com/en/abs/a-la-carte-learning-fast-kernels-1412.6493</loc><lastmod>2014-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-la-carte-learning-fast-kernels-1412.6493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-la-carte-learning-fast-kernels-1412.6493"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-epileptic-seizures-from-eeg-data-using-neural-networks-1412.6502</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-epileptic-seizures-from-eeg-data-using-neural-networks-1412.6502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-epileptic-seizures-from-eeg-data-using-neural-networks-1412.6502"/></url>
<url><loc>https://scifaro.com/en/abs/cauchy-principal-component-analysis-1412.6506</loc><lastmod>2014-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cauchy-principal-component-analysis-1412.6506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cauchy-principal-component-analysis-1412.6506"/></url>
<url><loc>https://scifaro.com/en/abs/score-function-features-for-discriminative-learning-1412.6514</loc><lastmod>2015-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/score-function-features-for-discriminative-learning-1412.6514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/score-function-features-for-discriminative-learning-1412.6514"/></url>
<url><loc>https://scifaro.com/en/abs/fast-label-embeddings-via-randomized-linear-algebra-1412.6547</loc><lastmod>2015-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-label-embeddings-via-randomized-linear-algebra-1412.6547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-label-embeddings-via-randomized-linear-algebra-1412.6547"/></url>
<url><loc>https://scifaro.com/en/abs/fitnets-hints-for-thin-deep-nets-1412.6550</loc><lastmod>2015-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitnets-hints-for-thin-deep-nets-1412.6550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitnets-hints-for-thin-deep-nets-1412.6550"/></url>
<url><loc>https://scifaro.com/en/abs/move-evaluation-in-go-using-deep-convolutional-neural-networks-1412.6564</loc><lastmod>2015-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/move-evaluation-in-go-using-deep-convolutional-neural-networks-1412.6564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/move-evaluation-in-go-using-deep-convolutional-neural-networks-1412.6564"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-compositionality-with-multiplicative-recurrent-neural-networks-1412.6577</loc><lastmod>2015-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-compositionality-with-multiplicative-recurrent-neural-networks-1412.6577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-compositionality-with-multiplicative-recurrent-neural-networks-1412.6577"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-hidden-factors-of-variation-in-deep-networks-1412.6583</loc><lastmod>2015-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-hidden-factors-of-variation-in-deep-networks-1412.6583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-hidden-factors-of-variation-in-deep-networks-1412.6583"/></url>
<url><loc>https://scifaro.com/en/abs/hot-swapping-for-online-adaptation-of-optimization-hyperparameters-1412.6599</loc><lastmod>2015-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hot-swapping-for-online-adaptation-of-optimization-hyperparameters-1412.6599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hot-swapping-for-online-adaptation-of-optimization-hyperparameters-1412.6599"/></url>
<url><loc>https://scifaro.com/en/abs/using-neural-networks-for-click-prediction-of-sponsored-search-1412.6601</loc><lastmod>2015-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-neural-networks-for-click-prediction-of-sponsored-search-1412.6601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-neural-networks-for-click-prediction-of-sponsored-search-1412.6601"/></url>
<url><loc>https://scifaro.com/en/abs/video-language-modeling-a-baseline-for-generative-models-of-natural-videos-1412.6604</loc><lastmod>2016-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/video-language-modeling-a-baseline-for-generative-models-of-natural-videos-1412.6604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/video-language-modeling-a-baseline-for-generative-models-of-natural-videos-1412.6604"/></url>
<url><loc>https://scifaro.com/en/abs/scoring-and-classifying-with-gated-auto-encoders-1412.6610</loc><lastmod>2015-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scoring-and-classifying-with-gated-auto-encoders-1412.6610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scoring-and-classifying-with-gated-auto-encoders-1412.6610"/></url>
<url><loc>https://scifaro.com/en/abs/in-search-of-the-real-inductive-bias-on-the-role-of-implicit-regularization-in-deep-learning-1412.6614</loc><lastmod>2015-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-search-of-the-real-inductive-bias-on-the-role-of-implicit-regularization-in-deep-learning-1412.6614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-search-of-the-real-inductive-bias-on-the-role-of-implicit-regularization-in-deep-learning-1412.6614"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-minimum-probability-flow-for-rbms-under-various-kinds-of-dynamics-1412.6617</loc><lastmod>2015-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-minimum-probability-flow-for-rbms-under-various-kinds-of-dynamics-1412.6617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-minimum-probability-flow-for-rbms-under-various-kinds-of-dynamics-1412.6617"/></url>
<url><loc>https://scifaro.com/en/abs/why-does-deep-learning-work-a-perspective-from-group-theory-1412.6621</loc><lastmod>2015-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-does-deep-learning-work-a-perspective-from-group-theory-1412.6621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-does-deep-learning-work-a-perspective-from-group-theory-1412.6621"/></url>
<url><loc>https://scifaro.com/en/abs/deep-metric-learning-using-triplet-network-1412.6622</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-metric-learning-using-triplet-network-1412.6622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-metric-learning-using-triplet-network-1412.6622"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-regularization-via-robust-weight-factorization-1412.6630</loc><lastmod>2015-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-regularization-via-robust-weight-factorization-1412.6630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-regularization-via-robust-weight-factorization-1412.6630"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-with-elastic-averaging-sgd-1412.6651</loc><lastmod>2015-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-with-elastic-averaging-sgd-1412.6651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-with-elastic-averaging-sgd-1412.6651"/></url>
<url><loc>https://scifaro.com/en/abs/correlation-of-data-reconstruction-error-and-shrinkages-in-pair-wise-distances-under-principal-component-analysis-pca-1412.6752</loc><lastmod>2014-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlation-of-data-reconstruction-error-and-shrinkages-in-pair-wise-distances-under-principal-component-analysis-pca-1412.6752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlation-of-data-reconstruction-error-and-shrinkages-in-pair-wise-distances-under-principal-component-analysis-pca-1412.6752"/></url>
<url><loc>https://scifaro.com/en/abs/striving-for-simplicity-the-all-convolutional-net-1412.6806</loc><lastmod>2015-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/striving-for-simplicity-the-all-convolutional-net-1412.6806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/striving-for-simplicity-the-all-convolutional-net-1412.6806"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-vector-representations-in-hierarchical-label-spaces-1412.6881</loc><lastmod>2015-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-vector-representations-in-hierarchical-label-spaces-1412.6881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-vector-representations-in-hierarchical-label-spaces-1412.6881"/></url>
<url><loc>https://scifaro.com/en/abs/adam-a-method-for-stochastic-optimization-1412.6980</loc><lastmod>2017-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adam-a-method-for-stochastic-optimization-1412.6980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adam-a-method-for-stochastic-optimization-1412.6980"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-encourages-dropout-1412.7003</loc><lastmod>2014-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-encourages-dropout-1412.7003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-encourages-dropout-1412.7003"/></url>
<url><loc>https://scifaro.com/en/abs/training-deep-neural-networks-with-low-precision-multiplications-1412.7024</loc><lastmod>2015-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-deep-neural-networks-with-low-precision-multiplications-1412.7024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-deep-neural-networks-with-low-precision-multiplications-1412.7024"/></url>
<url><loc>https://scifaro.com/en/abs/joint-rnn-based-greedy-parsing-and-word-composition-1412.7028</loc><lastmod>2015-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-rnn-based-greedy-parsing-and-word-composition-1412.7028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-rnn-based-greedy-parsing-and-word-composition-1412.7028"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-multi-way-data-a-novel-algebraic-approach-1412.7056</loc><lastmod>2015-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-multi-way-data-a-novel-algebraic-approach-1412.7056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-multi-way-data-a-novel-algebraic-approach-1412.7056"/></url>
<url><loc>https://scifaro.com/en/abs/learning-linearly-separable-features-for-speech-recognition-using-convolutional-neural-networks-1412.7110</loc><lastmod>2015-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-linearly-separable-features-for-speech-recognition-using-convolutional-neural-networks-1412.7110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-linearly-separable-features-for-speech-recognition-using-convolutional-neural-networks-1412.7110"/></url>
<url><loc>https://scifaro.com/en/abs/deep-fried-convnets-1412.7149</loc><lastmod>2015-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-fried-convnets-1412.7149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-fried-convnets-1412.7149"/></url>
<url><loc>https://scifaro.com/en/abs/learning-non-deterministic-representations-with-energy-based-ensembles-1412.7272</loc><lastmod>2015-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-non-deterministic-representations-with-energy-based-ensembles-1412.7272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-non-deterministic-representations-with-energy-based-ensembles-1412.7272"/></url>
<url><loc>https://scifaro.com/en/abs/adasecant-robust-adaptive-secant-method-for-stochastic-gradient-1412.7419</loc><lastmod>2015-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adasecant-robust-adaptive-secant-method-for-stochastic-gradient-1412.7419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adasecant-robust-adaptive-secant-method-for-stochastic-gradient-1412.7419"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-temporal-representations-for-brain-decoding-1412.7522</loc><lastmod>2015-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-temporal-representations-for-brain-decoding-1412.7522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-temporal-representations-for-brain-decoding-1412.7522"/></url>
<url><loc>https://scifaro.com/en/abs/difference-target-propagation-1412.7525</loc><lastmod>2015-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/difference-target-propagation-1412.7525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/difference-target-propagation-1412.7525"/></url>
<url><loc>https://scifaro.com/en/abs/fast-convolutional-nets-with-fbfft-a-gpu-performance-evaluation-1412.7580</loc><lastmod>2015-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-convolutional-nets-with-fbfft-a-gpu-performance-evaluation-1412.7580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-convolutional-nets-with-fbfft-a-gpu-performance-evaluation-1412.7580"/></url>
<url><loc>https://scifaro.com/en/abs/differential-privacy-and-machine-learning-a-survey-and-review-1412.7584</loc><lastmod>2014-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-privacy-and-machine-learning-a-survey-and-review-1412.7584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-privacy-and-machine-learning-a-survey-and-review-1412.7584"/></url>
<url><loc>https://scifaro.com/en/abs/an-effective-semi-supervised-divisive-clustering-algorithm-1412.7625</loc><lastmod>2015-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-effective-semi-supervised-divisive-clustering-algorithm-1412.7625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-effective-semi-supervised-divisive-clustering-algorithm-1412.7625"/></url>
<url><loc>https://scifaro.com/en/abs/transformation-properties-of-learned-visual-representations-1412.7659</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformation-properties-of-learned-visual-representations-1412.7659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformation-properties-of-learned-visual-representations-1412.7659"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-object-recognition-with-visual-attention-1412.7755</loc><lastmod>2015-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-object-recognition-with-visual-attention-1412.7755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-object-recognition-with-visual-attention-1412.7755"/></url>
<url><loc>https://scifaro.com/en/abs/cloud-k-svd-a-collaborative-dictionary-learning-algorithm-for-big-distributed-data-1412.7839</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cloud-k-svd-a-collaborative-dictionary-learning-algorithm-for-big-distributed-data-1412.7839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cloud-k-svd-a-collaborative-dictionary-learning-algorithm-for-big-distributed-data-1412.7839"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-pseudo-likelihood-models-for-sequence-labeling-1412.7868</loc><lastmod>2016-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-pseudo-likelihood-models-for-sequence-labeling-1412.7868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-pseudo-likelihood-models-for-sequence-labeling-1412.7868"/></url>
<url><loc>https://scifaro.com/en/abs/polyphonic-music-generation-by-modeling-temporal-dependencies-using-a-rnn-dbn-1412.7927</loc><lastmod>2014-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polyphonic-music-generation-by-modeling-temporal-dependencies-using-a-rnn-dbn-1412.7927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polyphonic-music-generation-by-modeling-temporal-dependencies-using-a-rnn-dbn-1412.7927"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-feature-selection-and-extraction-technique-for-classification-1412.7934</loc><lastmod>2014-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-feature-selection-and-extraction-technique-for-classification-1412.7934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-feature-selection-and-extraction-technique-for-classification-1412.7934"/></url>
<url><loc>https://scifaro.com/en/abs/adjusting-leverage-scores-by-row-weighting-a-practical-approach-to-coherent-matrix-completion-1412.7938</loc><lastmod>2015-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adjusting-leverage-scores-by-row-weighting-a-practical-approach-to-coherent-matrix-completion-1412.7938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adjusting-leverage-scores-by-row-weighting-a-practical-approach-to-coherent-matrix-completion-1412.7938"/></url>
<url><loc>https://scifaro.com/en/abs/disjunctive-normal-networks-1412.8534</loc><lastmod>2014-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disjunctive-normal-networks-1412.8534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disjunctive-normal-networks-1412.8534"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-and-conservative-estimates-of-mrf-log-likelihood-using-reverse-annealing-1412.8566</loc><lastmod>2014-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-and-conservative-estimates-of-mrf-log-likelihood-using-reverse-annealing-1412.8566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-and-conservative-estimates-of-mrf-log-likelihood-using-reverse-annealing-1412.8566"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-the-curse-of-dimensionality-with-convex-neural-networks-1412.8690</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-the-curse-of-dimensionality-with-convex-neural-networks-1412.8690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-the-curse-of-dimensionality-with-convex-neural-networks-1412.8690"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-clustering-with-relative-constraints-1501.00037</loc><lastmod>2015-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-clustering-with-relative-constraints-1501.00037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-clustering-with-relative-constraints-1501.00037"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-margin-clustering-for-state-decomposition-of-metastable-systems-1501.00125</loc><lastmod>2015-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-margin-clustering-for-state-decomposition-of-metastable-systems-1501.00125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-margin-clustering-for-state-decomposition-of-metastable-systems-1501.00125"/></url>
<url><loc>https://scifaro.com/en/abs/accams-additive-co-clustering-to-approximate-matrices-succinctly-1501.00199</loc><lastmod>2015-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accams-additive-co-clustering-to-approximate-matrices-succinctly-1501.00199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accams-additive-co-clustering-to-approximate-matrices-succinctly-1501.00199"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-classification-algorithms-for-multi-class-non-decomposable-performance-metrics-1501.00287</loc><lastmod>2015-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-classification-algorithms-for-multi-class-non-decomposable-performance-metrics-1501.00287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-classification-algorithms-for-multi-class-non-decomposable-performance-metrics-1501.00287"/></url>
<url><loc>https://scifaro.com/en/abs/comprehend-deepwalk-as-matrix-factorization-1501.00358</loc><lastmod>2015-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comprehend-deepwalk-as-matrix-factorization-1501.00358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comprehend-deepwalk-as-matrix-factorization-1501.00358"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-of-the-l2-boost-technique-with-echo-state-networks-1501.00503</loc><lastmod>2015-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-of-the-l2-boost-technique-with-echo-state-networks-1501.00503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-of-the-l2-boost-technique-with-echo-state-networks-1501.00503"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-predictive-data-mining-algorithms-in-erythemato-squamous-disease-diagnosis-1501.00607</loc><lastmod>2015-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-predictive-data-mining-algorithms-in-erythemato-squamous-disease-diagnosis-1501.00607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-predictive-data-mining-algorithms-in-erythemato-squamous-disease-diagnosis-1501.00607"/></url>
<url><loc>https://scifaro.com/en/abs/on-enhancing-the-performance-of-nearest-neighbour-classifiers-using-hassanat-distance-metric-1501.00687</loc><lastmod>2015-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-enhancing-the-performance-of-nearest-neighbour-classifiers-using-hassanat-distance-metric-1501.00687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-enhancing-the-performance-of-nearest-neighbour-classifiers-using-hassanat-distance-metric-1501.00687"/></url>
<url><loc>https://scifaro.com/en/abs/differential-search-algorithm-based-parametric-optimization-of-fuzzy-generalized-eigenvalue-proximal-support-vector-machine-1501.00728</loc><lastmod>2015-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-search-algorithm-based-parametric-optimization-of-fuzzy-generalized-eigenvalue-proximal-support-vector-machine-1501.00728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-search-algorithm-based-parametric-optimization-of-fuzzy-generalized-eigenvalue-proximal-support-vector-machine-1501.00728"/></url>
<url><loc>https://scifaro.com/en/abs/hashing-with-binary-autoencoders-1501.00756</loc><lastmod>2015-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hashing-with-binary-autoencoders-1501.00756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hashing-with-binary-autoencoders-1501.00756"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-online-relative-comparison-kernel-learning-1501.01242</loc><lastmod>2015-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-online-relative-comparison-kernel-learning-1501.01242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-online-relative-comparison-kernel-learning-1501.01242"/></url>
<url><loc>https://scifaro.com/en/abs/deep-autoencoders-for-dimensionality-reduction-of-high-content-screening-data-1501.01348</loc><lastmod>2015-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-autoencoders-for-dimensionality-reduction-of-high-content-screening-data-1501.01348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-autoencoders-for-dimensionality-reduction-of-high-content-screening-data-1501.01348"/></url>
<url><loc>https://scifaro.com/en/abs/a-gaussian-particle-filter-approach-for-sensors-to-track-multiple-moving-targets-1501.02411</loc><lastmod>2015-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gaussian-particle-filter-approach-for-sensors-to-track-multiple-moving-targets-1501.02411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gaussian-particle-filter-approach-for-sensors-to-track-multiple-moving-targets-1501.02411"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-fuzzy-hyperplane-fat-margin-classifier-with-minimum-vc-dimension-1501.02432</loc><lastmod>2015-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-fuzzy-hyperplane-fat-margin-classifier-with-minimum-vc-dimension-1501.02432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-fuzzy-hyperplane-fat-margin-classifier-with-minimum-vc-dimension-1501.02432"/></url>
<url><loc>https://scifaro.com/en/abs/crowd-ml-a-privacy-preserving-learning-framework-for-a-crowd-of-smart-devices-1501.02484</loc><lastmod>2015-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crowd-ml-a-privacy-preserving-learning-framework-for-a-crowd-of-smart-devices-1501.02484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crowd-ml-a-privacy-preserving-learning-framework-for-a-crowd-of-smart-devices-1501.02484"/></url>
<url><loc>https://scifaro.com/en/abs/max-cost-discrete-function-evaluation-problem-under-a-budget-1501.02702</loc><lastmod>2015-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-cost-discrete-function-evaluation-problem-under-a-budget-1501.02702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-cost-discrete-function-evaluation-problem-under-a-budget-1501.02702"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-blind-compressed-sensing-using-sparsifying-transforms-with-convergence-guarantees-and-application-to-mri-1501.02923</loc><lastmod>2015-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-blind-compressed-sensing-using-sparsifying-transforms-with-convergence-guarantees-and-application-to-mri-1501.02923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-blind-compressed-sensing-using-sparsifying-transforms-with-convergence-guarantees-and-application-to-mri-1501.02923"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-with-nonparametric-clustering-1501.03084</loc><lastmod>2015-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-with-nonparametric-clustering-1501.03084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-with-nonparametric-clustering-1501.03084"/></url>
<url><loc>https://scifaro.com/en/abs/using-riemannian-geometry-for-ssvep-based-brain-computer-interface-1501.03227</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-riemannian-geometry-for-ssvep-based-brain-computer-interface-1501.03227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-riemannian-geometry-for-ssvep-based-brain-computer-interface-1501.03227"/></url>
<url><loc>https://scifaro.com/en/abs/classification-with-low-rank-and-missing-data-1501.03273</loc><lastmod>2015-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-with-low-rank-and-missing-data-1501.03273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-with-low-rank-and-missing-data-1501.03273"/></url>
<url><loc>https://scifaro.com/en/abs/a-proximal-approach-for-sparse-multiclass-svm-1501.03669</loc><lastmod>2015-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-proximal-approach-for-sparse-multiclass-svm-1501.03669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-proximal-approach-for-sparse-multiclass-svm-1501.03669"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-learning-for-multivariate-performance-measures-optimization-1501.03786</loc><lastmod>2015-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-learning-for-multivariate-performance-measures-optimization-1501.03786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-learning-for-multivariate-performance-measures-optimization-1501.03786"/></url>
<url><loc>https://scifaro.com/en/abs/the-fast-convergence-of-incremental-pca-1501.03796</loc><lastmod>2015-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-fast-convergence-of-incremental-pca-1501.03796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-fast-convergence-of-incremental-pca-1501.03796"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayes-with-minimax-for-confidence-rated-transduction-1501.03838</loc><lastmod>2015-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayes-with-minimax-for-confidence-rated-transduction-1501.03838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayes-with-minimax-for-confidence-rated-transduction-1501.03838"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-local-interaction-sli-model-interfacing-machine-learning-and-geostatistics-1501.04053</loc><lastmod>2015-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-local-interaction-sli-model-interfacing-machine-learning-and-geostatistics-1501.04053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-local-interaction-sli-model-interfacing-machine-learning-and-geostatistics-1501.04053"/></url>
<url><loc>https://scifaro.com/en/abs/generalised-random-forest-space-overview-1501.04244</loc><lastmod>2015-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalised-random-forest-space-overview-1501.04244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalised-random-forest-space-overview-1501.04244"/></url>
<url><loc>https://scifaro.com/en/abs/comment-on-clustering-by-fast-search-and-find-of-density-peaks-1501.04267</loc><lastmod>2015-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comment-on-clustering-by-fast-search-and-find-of-density-peaks-1501.04267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comment-on-clustering-by-fast-search-and-find-of-density-peaks-1501.04267"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-maximum-correntropy-machine-1501.04282</loc><lastmod>2015-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-maximum-correntropy-machine-1501.04282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-maximum-correntropy-machine-1501.04282"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-based-on-the-in-tree-graph-structure-and-affinity-propagation-1501.04318</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-based-on-the-in-tree-graph-structure-and-affinity-propagation-1501.04318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-based-on-the-in-tree-graph-structure-and-affinity-propagation-1501.04318"/></url>
<url><loc>https://scifaro.com/en/abs/extreme-entropy-machines-robust-information-theoretic-classification-1501.05279</loc><lastmod>2015-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extreme-entropy-machines-robust-information-theoretic-classification-1501.05279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extreme-entropy-machines-robust-information-theoretic-classification-1501.05279"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-affinity-based-binary-hashing-using-auxiliary-coordinates-1501.05352</loc><lastmod>2016-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-affinity-based-binary-hashing-using-auxiliary-coordinates-1501.05352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-affinity-based-binary-hashing-using-auxiliary-coordinates-1501.05352"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-extreme-learning-machines-a-study-on-classification-cases-1501.06115</loc><lastmod>2015-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-extreme-learning-machines-a-study-on-classification-cases-1501.06115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-extreme-learning-machines-a-study-on-classification-cases-1501.06115"/></url>
<url><loc>https://scifaro.com/en/abs/online-optimization-competing-with-dynamic-comparators-1501.06225</loc><lastmod>2015-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-optimization-competing-with-dynamic-comparators-1501.06225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-optimization-competing-with-dynamic-comparators-1501.06225"/></url>
<url><loc>https://scifaro.com/en/abs/deep-transductive-semi-supervised-maximum-margin-clustering-1501.06237</loc><lastmod>2015-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-transductive-semi-supervised-maximum-margin-clustering-1501.06237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-transductive-semi-supervised-maximum-margin-clustering-1501.06237"/></url>
<url><loc>https://scifaro.com/en/abs/on-a-family-of-decomposable-kernels-on-sequences-1501.06284</loc><lastmod>2015-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-a-family-of-decomposable-kernels-on-sequences-1501.06284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-a-family-of-decomposable-kernels-on-sequences-1501.06284"/></url>
<url><loc>https://scifaro.com/en/abs/compressed-support-vector-machines-1501.06478</loc><lastmod>2015-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressed-support-vector-machines-1501.06478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressed-support-vector-machines-1501.06478"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-tensor-completion-via-the-sum-of-squares-hierarchy-1501.06521</loc><lastmod>2016-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-tensor-completion-via-the-sum-of-squares-hierarchy-1501.06521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-tensor-completion-via-the-sum-of-squares-hierarchy-1501.06521"/></url>
<url><loc>https://scifaro.com/en/abs/novel-approaches-for-predicting-risk-factors-of-atherosclerosis-1501.07093</loc><lastmod>2015-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novel-approaches-for-predicting-risk-factors-of-atherosclerosis-1501.07093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novel-approaches-for-predicting-risk-factors-of-atherosclerosis-1501.07093"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-network-anomaly-detector-using-the-random-cluster-model-1501.07227</loc><lastmod>2016-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-network-anomaly-detector-using-the-random-cluster-model-1501.07227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-network-anomaly-detector-using-the-random-cluster-model-1501.07227"/></url>
<url><loc>https://scifaro.com/en/abs/per-block-convex-data-modeling-by-accelerated-stochastic-approximation-1501.07315</loc><lastmod>2017-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/per-block-convex-data-modeling-by-accelerated-stochastic-approximation-1501.07315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/per-block-convex-data-modeling-by-accelerated-stochastic-approximation-1501.07315"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-factorization-via-matrix-factorization-1501.07320</loc><lastmod>2015-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-factorization-via-matrix-factorization-1501.07320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-factorization-via-matrix-factorization-1501.07320"/></url>
<url><loc>https://scifaro.com/en/abs/particle-swarm-optimization-for-time-series-motif-discovery-1501.07399</loc><lastmod>2016-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-swarm-optimization-for-time-series-motif-discovery-1501.07399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-swarm-optimization-for-time-series-motif-discovery-1501.07399"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-divide-and-conquer-classification-based-on-feature-space-decomposition-1501.07584</loc><lastmod>2018-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-divide-and-conquer-classification-based-on-feature-space-decomposition-1501.07584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-divide-and-conquer-classification-based-on-feature-space-decomposition-1501.07584"/></url>
<url><loc>https://scifaro.com/en/abs/representing-objects-relations-and-sequences-1501.07627</loc><lastmod>2015-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representing-objects-relations-and-sequences-1501.07627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representing-objects-relations-and-sequences-1501.07627"/></url>
<url><loc>https://scifaro.com/en/abs/a-batchwise-monotone-algorithm-for-dictionary-learning-1502.00064</loc><lastmod>2015-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-batchwise-monotone-algorithm-for-dictionary-learning-1502.00064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-batchwise-monotone-algorithm-for-dictionary-learning-1502.00064"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-with-redundancy-complementariness-dispersion-1502.00231</loc><lastmod>2015-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-with-redundancy-complementariness-dispersion-1502.00231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-with-redundancy-complementariness-dispersion-1502.00231"/></url>
<url><loc>https://scifaro.com/en/abs/injury-risk-prediction-for-traffic-accidents-in-porto-alegre-rs-brazil-1502.00245</loc><lastmod>2015-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/injury-risk-prediction-for-traffic-accidents-in-porto-alegre-rs-brazil-1502.00245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/injury-risk-prediction-for-traffic-accidents-in-porto-alegre-rs-brazil-1502.00245"/></url>
<url><loc>https://scifaro.com/en/abs/iterated-support-vector-machines-for-distance-metric-learning-1502.00363</loc><lastmod>2015-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterated-support-vector-machines-for-distance-metric-learning-1502.00363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterated-support-vector-machines-for-distance-metric-learning-1502.00363"/></url>
<url><loc>https://scifaro.com/en/abs/lock-in-feedback-in-sequential-experiments-1502.00598</loc><lastmod>2016-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lock-in-feedback-in-sequential-experiments-1502.00598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lock-in-feedback-in-sequential-experiments-1502.00598"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-orthogonal-projection-and-estimation-hope-a-new-framework-to-probe-and-learn-neural-networks-1502.00702</loc><lastmod>2016-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-orthogonal-projection-and-estimation-hope-a-new-framework-to-probe-and-learn-neural-networks-1502.00702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-orthogonal-projection-and-estimation-hope-a-new-framework-to-probe-and-learn-neural-networks-1502.00702"/></url>
<url><loc>https://scifaro.com/en/abs/learning-local-invariant-mahalanobis-distances-1502.01176</loc><lastmod>2015-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-local-invariant-mahalanobis-distances-1502.01176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-local-invariant-mahalanobis-distances-1502.01176"/></url>
<url><loc>https://scifaro.com/en/abs/releaf-an-algorithm-for-learning-and-exploiting-relevance-1502.01418</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/releaf-an-algorithm-for-learning-and-exploiting-relevance-1502.01418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/releaf-an-algorithm-for-learning-and-exploiting-relevance-1502.01418"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-expression-for-mill-s-ratio-of-the-student-s-t-distribution-1502.01632</loc><lastmod>2015-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-expression-for-mill-s-ratio-of-the-student-s-t-distribution-1502.01632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-expression-for-mill-s-ratio-of-the-student-s-t-distribution-1502.01632"/></url>
<url><loc>https://scifaro.com/en/abs/a-confident-information-first-principle-for-parametric-reduction-and-model-selection-of-boltzmann-machines-1502.01705</loc><lastmod>2015-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-confident-information-first-principle-for-parametric-reduction-and-model-selection-of-boltzmann-machines-1502.01705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-confident-information-first-principle-for-parametric-reduction-and-model-selection-of-boltzmann-machines-1502.01705"/></url>
<url><loc>https://scifaro.com/en/abs/text-understanding-from-scratch-1502.01710</loc><lastmod>2016-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/text-understanding-from-scratch-1502.01710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/text-understanding-from-scratch-1502.01710"/></url>
<url><loc>https://scifaro.com/en/abs/learning-efficient-anomaly-detectors-from-k-nn-graphs-1502.01783</loc><lastmod>2015-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-efficient-anomaly-detectors-from-k-nn-graphs-1502.01783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-efficient-anomaly-detectors-from-k-nn-graphs-1502.01783"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-fusion-weight-learning-in-multiple-classifier-systems-1502.01823</loc><lastmod>2015-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-fusion-weight-learning-in-multiple-classifier-systems-1502.01823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-fusion-weight-learning-in-multiple-classifier-systems-1502.01823"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-maximum-margin-clustering-1502.01827</loc><lastmod>2015-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-maximum-margin-clustering-1502.01827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-maximum-margin-clustering-1502.01827"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-energy-regression-using-scattering-transforms-1502.02077</loc><lastmod>2016-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-energy-regression-using-scattering-transforms-1502.02077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-energy-regression-using-scattering-transforms-1502.02077"/></url>
<url><loc>https://scifaro.com/en/abs/hyperparameter-search-in-machine-learning-1502.02127</loc><lastmod>2015-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperparameter-search-in-machine-learning-1502.02127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperparameter-search-in-machine-learning-1502.02127"/></url>
<url><loc>https://scifaro.com/en/abs/learning-parametric-output-hmms-with-two-aliased-states-1502.02158</loc><lastmod>2015-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-parametric-output-hmms-with-two-aliased-states-1502.02158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-parametric-output-hmms-with-two-aliased-states-1502.02158"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-search-better-than-your-teacher-1502.02206</loc><lastmod>2015-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-search-better-than-your-teacher-1502.02206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-search-better-than-your-teacher-1502.02206"/></url>
<url><loc>https://scifaro.com/en/abs/real-world-applications-of-machine-learning-techniques-over-large-mobile-subscriber-datasets-1502.02215</loc><lastmod>2015-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-world-applications-of-machine-learning-techniques-over-large-mobile-subscriber-datasets-1502.02215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-world-applications-of-machine-learning-techniques-over-large-mobile-subscriber-datasets-1502.02215"/></url>
<url><loc>https://scifaro.com/en/abs/sdna-stochastic-dual-newton-ascent-for-empirical-risk-minimization-1502.02268</loc><lastmod>2015-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sdna-stochastic-dual-newton-ascent-for-empirical-risk-minimization-1502.02268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sdna-stochastic-dual-newton-ascent-for-empirical-risk-minimization-1502.02268"/></url>
<url><loc>https://scifaro.com/en/abs/rademacher-observations-private-data-and-boosting-1502.02322</loc><lastmod>2015-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rademacher-observations-private-data-and-boosting-1502.02322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rademacher-observations-private-data-and-boosting-1502.02322"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-risk-minimization-learning-from-logged-bandit-feedback-1502.02362</loc><lastmod>2015-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-risk-minimization-learning-from-logged-bandit-feedback-1502.02362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-risk-minimization-learning-from-logged-bandit-feedback-1502.02362"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-coding-with-earth-mover-s-distance-for-multi-instance-histogram-representation-1502.02377</loc><lastmod>2016-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-coding-with-earth-mover-s-distance-for-multi-instance-histogram-representation-1502.02377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-coding-with-earth-mover-s-distance-for-multi-instance-histogram-representation-1502.02377"/></url>
<url><loc>https://scifaro.com/en/abs/an-infinite-restricted-boltzmann-machine-1502.02476</loc><lastmod>2016-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-infinite-restricted-boltzmann-machine-1502.02476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-infinite-restricted-boltzmann-machine-1502.02476"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-with-limited-numerical-precision-1502.02551</loc><lastmod>2015-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-with-limited-numerical-precision-1502.02551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-with-limited-numerical-precision-1502.02551"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-classifiers-robustness-to-adversarial-perturbations-1502.02590</loc><lastmod>2016-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-classifiers-robustness-to-adversarial-perturbations-1502.02590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-classifiers-robustness-to-adversarial-perturbations-1502.02590"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-random-subspace-learning-rssl-algorithm-for-prediction-1502.02599</loc><lastmod>2015-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-random-subspace-learning-rssl-algorithm-for-prediction-1502.02599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-random-subspace-learning-rssl-algorithm-for-prediction-1502.02599"/></url>
<url><loc>https://scifaro.com/en/abs/the-power-of-randomization-distributed-submodular-maximization-on-massive-datasets-1502.02606</loc><lastmod>2015-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-power-of-randomization-distributed-submodular-maximization-on-massive-datasets-1502.02606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-power-of-randomization-distributed-submodular-maximization-on-massive-datasets-1502.02606"/></url>
<url><loc>https://scifaro.com/en/abs/random-coordinate-descent-methods-for-minimizing-decomposable-submodular-functions-1502.02643</loc><lastmod>2015-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-coordinate-descent-methods-for-minimizing-decomposable-submodular-functions-1502.02643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-coordinate-descent-methods-for-minimizing-decomposable-submodular-functions-1502.02643"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-and-adaptive-algorithms-for-online-boosting-1502.02651</loc><lastmod>2015-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-and-adaptive-algorithms-for-online-boosting-1502.02651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-and-adaptive-algorithms-for-online-boosting-1502.02651"/></url>
<url><loc>https://scifaro.com/en/abs/learning-reductions-that-really-work-1502.02704</loc><lastmod>2015-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-reductions-that-really-work-1502.02704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-reductions-that-really-work-1502.02704"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-multilabel-prediction-via-randomized-methods-1502.02710</loc><lastmod>2015-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-multilabel-prediction-via-randomized-methods-1502.02710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-multilabel-prediction-via-randomized-methods-1502.02710"/></url>
<url><loc>https://scifaro.com/en/abs/generative-moment-matching-networks-1502.02761</loc><lastmod>2015-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-moment-matching-networks-1502.02761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-moment-matching-networks-1502.02761"/></url>
<url><loc>https://scifaro.com/en/abs/cascading-bandits-learning-to-rank-in-the-cascade-model-1502.02763</loc><lastmod>2015-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cascading-bandits-learning-to-rank-in-the-cascade-model-1502.02763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cascading-bandits-learning-to-rank-in-the-cascade-model-1502.02763"/></url>
<url><loc>https://scifaro.com/en/abs/learning-transferable-features-with-deep-adaptation-networks-1502.02791</loc><lastmod>2015-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-transferable-features-with-deep-adaptation-networks-1502.02791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-transferable-features-with-deep-adaptation-networks-1502.02791"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-line-searches-for-stochastic-optimization-1502.02846</loc><lastmod>2016-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-line-searches-for-stochastic-optimization-1502.02846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-line-searches-for-stochastic-optimization-1502.02846"/></url>
<url><loc>https://scifaro.com/en/abs/show-attend-and-tell-neural-image-caption-generation-with-visual-attention-1502.03044</loc><lastmod>2016-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/show-attend-and-tell-neural-image-caption-generation-with-visual-attention-1502.03044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/show-attend-and-tell-neural-image-caption-generation-with-visual-attention-1502.03044"/></url>
<url><loc>https://scifaro.com/en/abs/batch-normalization-accelerating-deep-network-training-by-reducing-internal-covariate-shift-1502.03167</loc><lastmod>2015-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-normalization-accelerating-deep-network-training-by-reducing-internal-covariate-shift-1502.03167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-normalization-accelerating-deep-network-training-by-reducing-internal-covariate-shift-1502.03167"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-deep-learning-on-the-yfcc100m-dataset-1502.03409</loc><lastmod>2015-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-deep-learning-on-the-yfcc100m-dataset-1502.03409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-deep-learning-on-the-yfcc100m-dataset-1502.03409"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-filtering-bandits-1502.03473</loc><lastmod>2016-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-filtering-bandits-1502.03473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-filtering-bandits-1502.03473"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-bandits-revisited-1502.03475</loc><lastmod>2015-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-bandits-revisited-1502.03475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-bandits-revisited-1502.03475"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-logeuclidean-metric-learning-for-symmetric-positive-definite-matrices-1502.03505</loc><lastmod>2015-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-logeuclidean-metric-learning-for-symmetric-positive-definite-matrices-1502.03505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-logeuclidean-metric-learning-for-symmetric-positive-definite-matrices-1502.03505"/></url>
<url><loc>https://scifaro.com/en/abs/adding-vs-averaging-in-distributed-primal-dual-optimization-1502.03508</loc><lastmod>2015-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adding-vs-averaging-in-distributed-primal-dual-optimization-1502.03508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adding-vs-averaging-in-distributed-primal-dual-optimization-1502.03508"/></url>
<url><loc>https://scifaro.com/en/abs/made-masked-autoencoder-for-distribution-estimation-1502.03509</loc><lastmod>2015-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/made-masked-autoencoder-for-distribution-estimation-1502.03509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/made-masked-autoencoder-for-distribution-estimation-1502.03509"/></url>
<url><loc>https://scifaro.com/en/abs/a-latent-variable-model-approach-to-pmi-based-word-embeddings-1502.03520</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-latent-variable-model-approach-to-pmi-based-word-embeddings-1502.03520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-latent-variable-model-approach-to-pmi-based-word-embeddings-1502.03520"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-stochastic-alternating-direction-method-of-multipliers-1502.03529</loc><lastmod>2015-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-stochastic-alternating-direction-method-of-multipliers-1502.03529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-stochastic-alternating-direction-method-of-multipliers-1502.03529"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-gradient-based-pre-training-in-denoising-autoencoders-1502.03537</loc><lastmod>2015-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-gradient-based-pre-training-in-denoising-autoencoders-1502.03537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-gradient-based-pre-training-in-denoising-autoencoders-1502.03537"/></url>
<url><loc>https://scifaro.com/en/abs/a-predictive-system-for-detection-of-bankruptcy-using-machine-learning-techniques-1502.03601</loc><lastmod>2015-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-predictive-system-for-detection-of-bankruptcy-using-machine-learning-techniques-1502.03601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-predictive-system-for-detection-of-bankruptcy-using-machine-learning-techniques-1502.03601"/></url>
<url><loc>https://scifaro.com/en/abs/ordering-sensitive-and-semantic-aware-topic-modeling-1502.03630</loc><lastmod>2015-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ordering-sensitive-and-semantic-aware-topic-modeling-1502.03630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ordering-sensitive-and-semantic-aware-topic-modeling-1502.03630"/></url>
<url><loc>https://scifaro.com/en/abs/over-sampling-in-a-deep-neural-network-1502.03648</loc><lastmod>2015-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/over-sampling-in-a-deep-neural-network-1502.03648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/over-sampling-in-a-deep-neural-network-1502.03648"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-data-representation-via-affinity-graph-learning-1502.03879</loc><lastmod>2015-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-data-representation-via-affinity-graph-learning-1502.03879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-data-representation-via-affinity-graph-learning-1502.03879"/></url>
<url><loc>https://scifaro.com/en/abs/the-responsibility-weighted-mahalanobis-kernel-for-semi-supervised-training-of-support-vector-machines-for-classification-1502.04033</loc><lastmod>2015-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-responsibility-weighted-mahalanobis-kernel-for-semi-supervised-training-of-support-vector-machines-for-classification-1502.04033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-responsibility-weighted-mahalanobis-kernel-for-semi-supervised-training-of-support-vector-machines-for-classification-1502.04033"/></url>
<url><loc>https://scifaro.com/en/abs/abstract-learning-via-demodulation-in-a-deep-neural-network-1502.04042</loc><lastmod>2015-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abstract-learning-via-demodulation-in-a-deep-neural-network-1502.04042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abstract-learning-via-demodulation-in-a-deep-neural-network-1502.04042"/></url>
<url><loc>https://scifaro.com/en/abs/non-adaptive-learning-a-hidden-hipergraph-1502.04137</loc><lastmod>2015-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-adaptive-learning-a-hidden-hipergraph-1502.04137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-adaptive-learning-a-hidden-hipergraph-1502.04137"/></url>
<url><loc>https://scifaro.com/en/abs/a-pseudo-euclidean-iteration-for-optimal-recovery-in-noisy-ica-1502.04148</loc><lastmod>2015-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pseudo-euclidean-iteration-for-optimal-recovery-in-noisy-ica-1502.04148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pseudo-euclidean-iteration-for-optimal-recovery-in-noisy-ica-1502.04148"/></url>
<url><loc>https://scifaro.com/en/abs/towards-biologically-plausible-deep-learning-1502.04156</loc><lastmod>2016-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-biologically-plausible-deep-learning-1502.04156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-biologically-plausible-deep-learning-1502.04156"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-regression-using-needlet-kernels-for-spherical-data-1502.04168</loc><lastmod>2015-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-regression-using-needlet-kernels-for-spherical-data-1502.04168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-regression-using-needlet-kernels-for-spherical-data-1502.04168"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-deep-neural-network-in-estimation-of-the-weld-bead-parameters-1502.04187</loc><lastmod>2015-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-deep-neural-network-in-estimation-of-the-weld-bead-parameters-1502.04187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-deep-neural-network-in-estimation-of-the-weld-bead-parameters-1502.04187"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-justification-of-bandlimited-interpolation-of-graph-signals-for-semi-supervised-learning-1502.04248</loc><lastmod>2015-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-justification-of-bandlimited-interpolation-of-graph-signals-for-semi-supervised-learning-1502.04248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-justification-of-bandlimited-interpolation-of-graph-signals-for-semi-supervised-learning-1502.04248"/></url>
<url><loc>https://scifaro.com/en/abs/equilibrated-adaptive-learning-rates-for-non-convex-optimization-1502.04390</loc><lastmod>2015-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equilibrated-adaptive-learning-rates-for-non-convex-optimization-1502.04390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equilibrated-adaptive-learning-rates-for-non-convex-optimization-1502.04390"/></url>
<url><loc>https://scifaro.com/en/abs/classification-and-its-applications-for-drug-target-interaction-identification-1502.04469</loc><lastmod>2015-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-and-its-applications-for-drug-target-interaction-identification-1502.04469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-and-its-applications-for-drug-target-interaction-identification-1502.04469"/></url>
<url><loc>https://scifaro.com/en/abs/the-ladder-a-reliable-leaderboard-for-machine-learning-competitions-1502.04585</loc><lastmod>2015-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-ladder-a-reliable-leaderboard-for-machine-learning-competitions-1502.04585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-ladder-a-reliable-leaderboard-for-machine-learning-competitions-1502.04585"/></url>
<url><loc>https://scifaro.com/en/abs/deep-transform-error-correction-via-probabilistic-re-synthesis-1502.04617</loc><lastmod>2015-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-transform-error-correction-via-probabilistic-re-synthesis-1502.04617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-transform-error-correction-via-probabilistic-re-synthesis-1502.04617"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-video-representations-using-lstms-1502.04681</loc><lastmod>2016-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-video-representations-using-lstms-1502.04681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-video-representations-using-lstms-1502.04681"/></url>
<url><loc>https://scifaro.com/en/abs/exact-tensor-completion-using-t-svd-1502.04689</loc><lastmod>2015-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-tensor-completion-using-t-svd-1502.04689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-tensor-completion-using-t-svd-1502.04689"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-gradient-learning-on-time-series-under-elastic-transformations-1502.04843</loc><lastmod>2015-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-gradient-learning-on-time-series-under-elastic-transformations-1502.04843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-gradient-learning-on-time-series-under-elastic-transformations-1502.04843"/></url>
<url><loc>https://scifaro.com/en/abs/proper-complex-gaussian-processes-for-regression-1502.04868</loc><lastmod>2015-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proper-complex-gaussian-processes-for-regression-1502.04868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proper-complex-gaussian-processes-for-regression-1502.04868"/></url>
<url><loc>https://scifaro.com/en/abs/on-sex-evolution-and-the-multiplicative-weights-update-algorithm-1502.05056</loc><lastmod>2015-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-sex-evolution-and-the-multiplicative-weights-update-algorithm-1502.05056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-sex-evolution-and-the-multiplicative-weights-update-algorithm-1502.05056"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-clustering-of-time-series-using-triangular-potentials-1502.05090</loc><lastmod>2015-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-clustering-of-time-series-using-triangular-potentials-1502.05090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-clustering-of-time-series-using-triangular-potentials-1502.05090"/></url>
<url><loc>https://scifaro.com/en/abs/csal-self-adaptive-labeling-based-clustering-integrating-supervised-learning-on-unlabeled-data-1502.05111</loc><lastmod>2015-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/csal-self-adaptive-labeling-based-clustering-integrating-supervised-learning-on-unlabeled-data-1502.05111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/csal-self-adaptive-labeling-based-clustering-integrating-supervised-learning-on-unlabeled-data-1502.05111"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-embedding-in-convolutional-neural-networks-for-robust-learning-of-abstract-snippets-1502.05113</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-embedding-in-convolutional-neural-networks-for-robust-learning-of-abstract-snippets-1502.05113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-embedding-in-convolutional-neural-networks-for-robust-learning-of-abstract-snippets-1502.05113"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-cross-modal-factor-analysis-for-multiple-modal-data-classification-1502.05134</loc><lastmod>2015-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-cross-modal-factor-analysis-for-multiple-modal-data-classification-1502.05134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-cross-modal-factor-analysis-for-multiple-modal-data-classification-1502.05134"/></url>
<url><loc>https://scifaro.com/en/abs/f0-modeling-in-hmm-based-speech-synthesis-system-using-deep-belief-network-1502.05213</loc><lastmod>2015-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/f0-modeling-in-hmm-based-speech-synthesis-system-using-deep-belief-network-1502.05213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/f0-modeling-in-hmm-based-speech-synthesis-system-using-deep-belief-network-1502.05213"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effects-of-low-quality-training-data-on-information-extraction-from-clinical-reports-1502.05472</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effects-of-low-quality-training-data-on-information-extraction-from-clinical-reports-1502.05472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effects-of-low-quality-training-data-on-information-extraction-from-clinical-reports-1502.05472"/></url>
<url><loc>https://scifaro.com/en/abs/trust-region-policy-optimization-1502.05477</loc><lastmod>2017-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trust-region-policy-optimization-1502.05477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trust-region-policy-optimization-1502.05477"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-text-quantifiers-for-multivariate-loss-functions-1502.05491</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-text-quantifiers-for-multivariate-loss-functions-1502.05491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-text-quantifiers-for-multivariate-loss-functions-1502.05491"/></url>
<url><loc>https://scifaro.com/en/abs/neurosvm-a-graphical-user-interface-for-identification-of-liver-patients-1502.05534</loc><lastmod>2015-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neurosvm-a-graphical-user-interface-for-identification-of-liver-patients-1502.05534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neurosvm-a-graphical-user-interface-for-identification-of-liver-patients-1502.05534"/></url>
<url><loc>https://scifaro.com/en/abs/np-hardness-and-inapproximability-of-sparse-pca-1502.05675</loc><lastmod>2015-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/np-hardness-and-inapproximability-of-sparse-pca-1502.05675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/np-hardness-and-inapproximability-of-sparse-pca-1502.05675"/></url>
<url><loc>https://scifaro.com/en/abs/scale-free-algorithms-for-online-linear-optimization-1502.05744</loc><lastmod>2015-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scale-free-algorithms-for-online-linear-optimization-1502.05744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scale-free-algorithms-for-online-linear-optimization-1502.05744"/></url>
<url><loc>https://scifaro.com/en/abs/a-provably-convergent-alternating-minimization-method-for-mean-field-inference-1502.05832</loc><lastmod>2015-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-provably-convergent-alternating-minimization-method-for-mean-field-inference-1502.05832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-provably-convergent-alternating-minimization-method-for-mean-field-inference-1502.05832"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-semibandits-via-supervised-learning-oracles-1502.05890</loc><lastmod>2016-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-semibandits-via-supervised-learning-oracles-1502.05890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-semibandits-via-supervised-learning-oracles-1502.05890"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-mining-framework-to-model-consumer-indebtedness-with-psychological-factors-1502.05911</loc><lastmod>2015-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-mining-framework-to-model-consumer-indebtedness-with-psychological-factors-1502.05911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-mining-framework-to-model-consumer-indebtedness-with-psychological-factors-1502.05911"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-all-with-no-parameters-adaptive-normalhedge-1502.05934</loc><lastmod>2015-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-all-with-no-parameters-adaptive-normalhedge-1502.05934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-all-with-no-parameters-adaptive-normalhedge-1502.05934"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-multi-label-classification-1502.05988</loc><lastmod>2015-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-multi-label-classification-1502.05988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-multi-label-classification-1502.05988"/></url>
<url><loc>https://scifaro.com/en/abs/sdca-without-duality-1502.06177</loc><lastmod>2015-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sdca-without-duality-1502.06177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sdca-without-duality-1502.06177"/></url>
<url><loc>https://scifaro.com/en/abs/teaching-and-compressing-for-low-vc-dimension-1502.06187</loc><lastmod>2016-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/teaching-and-compressing-for-low-vc-dimension-1502.06187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/teaching-and-compressing-for-low-vc-dimension-1502.06187"/></url>
<url><loc>https://scifaro.com/en/abs/nearly-optimal-classification-for-semimetrics-1502.06208</loc><lastmod>2015-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearly-optimal-classification-for-semimetrics-1502.06208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearly-optimal-classification-for-semimetrics-1502.06208"/></url>
<url><loc>https://scifaro.com/en/abs/the-fundamental-nature-of-the-log-loss-function-1502.06254</loc><lastmod>2015-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-fundamental-nature-of-the-log-loss-function-1502.06254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-fundamental-nature-of-the-log-loss-function-1502.06254"/></url>
<url><loc>https://scifaro.com/en/abs/first-order-regret-bounds-for-combinatorial-semi-bandits-1502.06354</loc><lastmod>2015-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/first-order-regret-bounds-for-combinatorial-semi-bandits-1502.06354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/first-order-regret-bounds-for-combinatorial-semi-bandits-1502.06354"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-dueling-bandits-1502.06362</loc><lastmod>2015-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-dueling-bandits-1502.06362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-dueling-bandits-1502.06362"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-convex-optimization-sqrt-t-regret-in-one-dimension-1502.06398</loc><lastmod>2015-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-convex-optimization-sqrt-t-regret-in-one-dimension-1502.06398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-convex-optimization-sqrt-t-regret-in-one-dimension-1502.06398"/></url>
<url><loc>https://scifaro.com/en/abs/rectified-factor-networks-1502.06464</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rectified-factor-networks-1502.06464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rectified-factor-networks-1502.06464"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-variational-inference-in-log-supermodular-models-1502.06531</loc><lastmod>2015-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-variational-inference-in-log-supermodular-models-1502.06531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-variational-inference-in-log-supermodular-models-1502.06531"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-sparse-linear-auto-encoders-and-sparse-pca-1502.06626</loc><lastmod>2015-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-sparse-linear-auto-encoders-and-sparse-pca-1502.06626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-sparse-linear-auto-encoders-and-sparse-pca-1502.06626"/></url>
<url><loc>https://scifaro.com/en/abs/reified-context-models-1502.06665</loc><lastmod>2015-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reified-context-models-1502.06665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reified-context-models-1502.06665"/></url>
<url><loc>https://scifaro.com/en/abs/learning-fast-mixing-models-for-structured-prediction-1502.06668</loc><lastmod>2015-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-fast-mixing-models-for-structured-prediction-1502.06668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-fast-mixing-models-for-structured-prediction-1502.06668"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-equivalence-between-kernel-quadrature-rules-and-random-feature-expansions-1502.06800</loc><lastmod>2015-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-equivalence-between-kernel-quadrature-rules-and-random-feature-expansions-1502.06800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-equivalence-between-kernel-quadrature-rules-and-random-feature-expansions-1502.06800"/></url>
<url><loc>https://scifaro.com/en/abs/strongly-adaptive-online-learning-1502.07073</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strongly-adaptive-online-learning-1502.07073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strongly-adaptive-online-learning-1502.07073"/></url>
<url><loc>https://scifaro.com/en/abs/the-vc-dimension-of-similarity-hypotheses-spaces-1502.07143</loc><lastmod>2015-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-vc-dimension-of-similarity-hypotheses-spaces-1502.07143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-vc-dimension-of-similarity-hypotheses-spaces-1502.07143"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-feedback-graphs-beyond-bandits-1502.07617</loc><lastmod>2015-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-feedback-graphs-beyond-bandits-1502.07617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-feedback-graphs-beyond-bandits-1502.07617"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-geometric-based-computation-of-the-string-subsequence-kernel-1502.07776</loc><lastmod>2015-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-geometric-based-computation-of-the-string-subsequence-kernel-1502.07776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-geometric-based-computation-of-the-string-subsequence-kernel-1502.07776"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-message-length-estimation-of-mixtures-of-multivariate-gaussian-and-von-mises-fisher-distributions-1502.07813</loc><lastmod>2015-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-message-length-estimation-of-mixtures-of-multivariate-gaussian-and-von-mises-fisher-distributions-1502.07813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-message-length-estimation-of-mixtures-of-multivariate-gaussian-and-von-mises-fisher-distributions-1502.07813"/></url>
<url><loc>https://scifaro.com/en/abs/non-stochastic-best-arm-identification-and-hyperparameter-optimization-1502.07943</loc><lastmod>2015-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-stochastic-best-arm-identification-and-hyperparameter-optimization-1502.07943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-stochastic-best-arm-identification-and-hyperparameter-optimization-1502.07943"/></url>
<url><loc>https://scifaro.com/en/abs/second-order-quantile-methods-for-experts-and-combinatorial-games-1502.08009</loc><lastmod>2015-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/second-order-quantile-methods-for-experts-and-combinatorial-games-1502.08009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/second-order-quantile-methods-for-experts-and-combinatorial-games-1502.08009"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-zero-shot-classification-with-semantic-rankings-1502.08039</loc><lastmod>2015-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-zero-shot-classification-with-semantic-rankings-1502.08039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-zero-shot-classification-with-semantic-rankings-1502.08039"/></url>
<url><loc>https://scifaro.com/en/abs/norm-based-capacity-control-in-neural-networks-1503.00036</loc><lastmod>2015-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/norm-based-capacity-control-in-neural-networks-1503.00036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/norm-based-capacity-control-in-neural-networks-1503.00036"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixtures-of-gaussians-in-high-dimensions-1503.00424</loc><lastmod>2015-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixtures-of-gaussians-in-high-dimensions-1503.00424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixtures-of-gaussians-in-high-dimensions-1503.00424"/></url>
<url><loc>https://scifaro.com/en/abs/utility-theoretic-ranking-for-semi-automated-text-classification-1503.00491</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/utility-theoretic-ranking-for-semi-automated-text-classification-1503.00491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/utility-theoretic-ranking-for-semi-automated-text-classification-1503.00491"/></url>
<url><loc>https://scifaro.com/en/abs/an-mathcal-o-n-log-n-projection-operator-for-weighted-ell-1-norm-regularization-with-sum-constraint-1503.00600</loc><lastmod>2015-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-mathcal-o-n-log-n-projection-operator-for-weighted-ell-1-norm-regularization-with-sum-constraint-1503.00600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-mathcal-o-n-log-n-projection-operator-for-weighted-ell-1-norm-regularization-with-sum-constraint-1503.00600"/></url>
<url><loc>https://scifaro.com/en/abs/unregularized-online-learning-algorithms-with-general-loss-functions-1503.00623</loc><lastmod>2015-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unregularized-online-learning-algorithms-with-general-loss-functions-1503.00623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unregularized-online-learning-algorithms-with-general-loss-functions-1503.00623"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-mean-shift-algorithms-for-clustering-1503.00687</loc><lastmod>2015-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-mean-shift-algorithms-for-clustering-1503.00687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-mean-shift-algorithms-for-clustering-1503.00687"/></url>
<url><loc>https://scifaro.com/en/abs/simple-efficient-and-neural-algorithms-for-sparse-coding-1503.00778</loc><lastmod>2015-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-efficient-and-neural-algorithms-for-sparse-coding-1503.00778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-efficient-and-neural-algorithms-for-sparse-coding-1503.00778"/></url>
<url><loc>https://scifaro.com/en/abs/normalization-based-k-means-clustering-algorithm-1503.00900</loc><lastmod>2015-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalization-based-k-means-clustering-algorithm-1503.00900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalization-based-k-means-clustering-algorithm-1503.00900"/></url>
<url><loc>https://scifaro.com/en/abs/projection-onto-the-capped-simplex-1503.01002</loc><lastmod>2015-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projection-onto-the-capped-simplex-1503.01002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projection-onto-the-capped-simplex-1503.01002"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-interpolation-for-scalable-structured-gaussian-processes-kiss-gp-1503.01057</loc><lastmod>2015-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-interpolation-for-scalable-structured-gaussian-processes-kiss-gp-1503.01057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-interpolation-for-scalable-structured-gaussian-processes-kiss-gp-1503.01057"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchies-of-relaxations-for-online-prediction-problems-with-evolving-constraints-1503.01212</loc><lastmod>2015-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchies-of-relaxations-for-online-prediction-problems-with-evolving-constraints-1503.01212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchies-of-relaxations-for-online-prediction-problems-with-evolving-constraints-1503.01212"/></url>
<url><loc>https://scifaro.com/en/abs/bethe-learning-of-conditional-random-fields-via-map-decoding-1503.01228</loc><lastmod>2015-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bethe-learning-of-conditional-random-fields-via-map-decoding-1503.01228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bethe-learning-of-conditional-random-fields-via-map-decoding-1503.01228"/></url>
<url><loc>https://scifaro.com/en/abs/joint-active-learning-with-feature-selection-via-cur-matrix-decomposition-1503.01239</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-active-learning-with-feature-selection-via-cur-matrix-decomposition-1503.01239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-active-learning-with-feature-selection-via-cur-matrix-decomposition-1503.01239"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-label-relation-graphs-with-ising-models-1503.01428</loc><lastmod>2015-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-label-relation-graphs-with-ising-models-1503.01428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-label-relation-graphs-with-ising-models-1503.01428"/></url>
<url><loc>https://scifaro.com/en/abs/class-probability-estimation-via-differential-geometric-regularization-1503.01436</loc><lastmod>2016-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-probability-estimation-via-differential-geometric-regularization-1503.01436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-probability-estimation-via-differential-geometric-regularization-1503.01436"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-distributed-bayesian-matrix-factorization-using-stochastic-gradient-mcmc-1503.01596</loc><lastmod>2015-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-distributed-bayesian-matrix-factorization-using-stochastic-gradient-mcmc-1503.01596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-distributed-bayesian-matrix-factorization-using-stochastic-gradient-mcmc-1503.01596"/></url>
<url><loc>https://scifaro.com/en/abs/emonets-multimodal-deep-learning-approaches-for-emotion-recognition-in-video-1503.01800</loc><lastmod>2015-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emonets-multimodal-deep-learning-approaches-for-emotion-recognition-in-video-1503.01800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emonets-multimodal-deep-learning-approaches-for-emotion-recognition-in-video-1503.01800"/></url>
<url><loc>https://scifaro.com/en/abs/optimally-combining-classifiers-using-unlabeled-data-1503.01811</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimally-combining-classifiers-using-unlabeled-data-1503.01811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimally-combining-classifiers-using-unlabeled-data-1503.01811"/></url>
<url><loc>https://scifaro.com/en/abs/deep-clustered-convolutional-kernels-1503.01824</loc><lastmod>2016-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-clustered-convolutional-kernels-1503.01824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-clustered-convolutional-kernels-1503.01824"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-and-significance-of-variable-length-similarity-based-time-series-motifs-1503.01883</loc><lastmod>2016-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-and-significance-of-variable-length-similarity-based-time-series-motifs-1503.01883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-and-significance-of-variable-length-similarity-based-time-series-motifs-1503.01883"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-relevance-maximization-with-binary-feedback-1503.01910</loc><lastmod>2015-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-relevance-maximization-with-binary-feedback-1503.01910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-relevance-maximization-with-binary-feedback-1503.01910"/></url>
<url><loc>https://scifaro.com/en/abs/to-drop-or-not-to-drop-robustness-consistency-and-differential-privacy-properties-of-dropout-1503.02031</loc><lastmod>2015-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-drop-or-not-to-drop-robustness-consistency-and-differential-privacy-properties-of-dropout-1503.02031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-drop-or-not-to-drop-robustness-consistency-and-differential-privacy-properties-of-dropout-1503.02031"/></url>
<url><loc>https://scifaro.com/en/abs/escaping-from-saddle-points-online-stochastic-gradient-for-tensor-decomposition-1503.02101</loc><lastmod>2015-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/escaping-from-saddle-points-online-stochastic-gradient-for-tensor-decomposition-1503.02101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/escaping-from-saddle-points-online-stochastic-gradient-for-tensor-decomposition-1503.02101"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-a-posteriori-adaptation-of-network-parameters-in-deep-models-1503.02108</loc><lastmod>2015-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-a-posteriori-adaptation-of-network-parameters-in-deep-models-1503.02108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-a-posteriori-adaptation-of-network-parameters-in-deep-models-1503.02108"/></url>
<url><loc>https://scifaro.com/en/abs/exact-hybrid-covariance-thresholding-for-joint-graphical-lasso-1503.02128</loc><lastmod>2015-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-hybrid-covariance-thresholding-for-joint-graphical-lasso-1503.02128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-hybrid-covariance-thresholding-for-joint-graphical-lasso-1503.02128"/></url>
<url><loc>https://scifaro.com/en/abs/learning-scale-free-networks-by-dynamic-node-specific-degree-prior-1503.02129</loc><lastmod>2015-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-scale-free-networks-by-dynamic-node-specific-degree-prior-1503.02129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-scale-free-networks-by-dynamic-node-specific-degree-prior-1503.02129"/></url>
<url><loc>https://scifaro.com/en/abs/model-selection-of-polynomial-kernel-regression-1503.02143</loc><lastmod>2023-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-selection-of-polynomial-kernel-regression-1503.02143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-selection-of-polynomial-kernel-regression-1503.02143"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-bayesian-dictionary-learning-with-a-gaussian-hierarchical-model-1503.02144</loc><lastmod>2015-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-bayesian-dictionary-learning-with-a-gaussian-hierarchical-model-1503.02144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-bayesian-dictionary-learning-with-a-gaussian-hierarchical-model-1503.02144"/></url>
<url><loc>https://scifaro.com/en/abs/label-optimal-regret-bounds-for-online-local-learning-1503.02193</loc><lastmod>2015-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-optimal-regret-bounds-for-online-local-learning-1503.02193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-optimal-regret-bounds-for-online-local-learning-1503.02193"/></url>
<url><loc>https://scifaro.com/en/abs/learning-co-sparse-analysis-operators-with-separable-structures-1503.02398</loc><lastmod>2015-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-co-sparse-analysis-operators-with-separable-structures-1503.02398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-co-sparse-analysis-operators-with-separable-structures-1503.02398"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-and-the-information-bottleneck-principle-1503.02406</loc><lastmod>2015-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-and-the-information-bottleneck-principle-1503.02406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-and-the-information-bottleneck-principle-1503.02406"/></url>
<url><loc>https://scifaro.com/en/abs/structured-prediction-of-sequences-and-trees-using-infinite-contexts-1503.02417</loc><lastmod>2015-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-prediction-of-sequences-and-trees-using-infinite-contexts-1503.02417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-prediction-of-sequences-and-trees-using-infinite-contexts-1503.02417"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-state-conditional-observation-distribution-using-weighted-stereo-samples-for-factorial-speech-processing-models-1503.02578</loc><lastmod>2016-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-state-conditional-observation-distribution-using-weighted-stereo-samples-for-factorial-speech-processing-models-1503.02578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-state-conditional-observation-distribution-using-weighted-stereo-samples-for-factorial-speech-processing-models-1503.02578"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-nuclear-norm-minimization-by-subspace-pursuit-proximal-riemannian-gradient-1503.02828</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-nuclear-norm-minimization-by-subspace-pursuit-proximal-riemannian-gradient-1503.02828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-nuclear-norm-minimization-by-subspace-pursuit-proximal-riemannian-gradient-1503.02828"/></url>
<url><loc>https://scifaro.com/en/abs/apsis-framework-for-automated-optimization-of-machine-learning-hyper-parameters-1503.02946</loc><lastmod>2015-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/apsis-framework-for-automated-optimization-of-machine-learning-hyper-parameters-1503.02946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/apsis-framework-for-automated-optimization-of-machine-learning-hyper-parameters-1503.02946"/></url>
<url><loc>https://scifaro.com/en/abs/a-neurodynamical-system-for-finding-a-minimal-vc-dimension-classifier-1503.03148</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neurodynamical-system-for-finding-a-minimal-vc-dimension-classifier-1503.03148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neurodynamical-system-for-finding-a-minimal-vc-dimension-classifier-1503.03148"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-discovery-of-time-series-shapelets-1503.03238</loc><lastmod>2015-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-discovery-of-time-series-shapelets-1503.03238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-discovery-of-time-series-shapelets-1503.03238"/></url>
<url><loc>https://scifaro.com/en/abs/a-mathematical-motivation-for-complex-valued-convolutional-networks-1503.03438</loc><lastmod>2016-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mathematical-motivation-for-complex-valued-convolutional-networks-1503.03438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mathematical-motivation-for-complex-valued-convolutional-networks-1503.03438"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-mean-number-of-k-means-clusters-to-form-1503.03488</loc><lastmod>2016-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-mean-number-of-k-means-clusters-to-form-1503.03488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-mean-number-of-k-means-clusters-to-form-1503.03488"/></url>
<url><loc>https://scifaro.com/en/abs/diverse-landmark-sampling-from-determinantal-point-processes-for-scalable-manifold-learning-1503.03506</loc><lastmod>2015-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diverse-landmark-sampling-from-determinantal-point-processes-for-scalable-manifold-learning-1503.03506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diverse-landmark-sampling-from-determinantal-point-processes-for-scalable-manifold-learning-1503.03506"/></url>
<url><loc>https://scifaro.com/en/abs/switching-to-learn-1503.03517</loc><lastmod>2015-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/switching-to-learn-1503.03517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/switching-to-learn-1503.03517"/></url>
<url><loc>https://scifaro.com/en/abs/line-large-scale-information-network-embedding-1503.03578</loc><lastmod>2015-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/line-large-scale-information-network-embedding-1503.03578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/line-large-scale-information-network-embedding-1503.03578"/></url>
<url><loc>https://scifaro.com/en/abs/deep-unsupervised-learning-using-nonequilibrium-thermodynamics-1503.03585</loc><lastmod>2015-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-unsupervised-learning-using-nonequilibrium-thermodynamics-1503.03585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-unsupervised-learning-using-nonequilibrium-thermodynamics-1503.03585"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-of-linear-separators-under-bounded-noise-1503.03594</loc><lastmod>2015-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-of-linear-separators-under-bounded-noise-1503.03594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-of-linear-separators-under-bounded-noise-1503.03594"/></url>
<url><loc>https://scifaro.com/en/abs/on-graduated-optimization-for-stochastic-non-convex-problems-1503.03712</loc><lastmod>2015-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-graduated-optimization-for-stochastic-non-convex-problems-1503.03712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-graduated-optimization-for-stochastic-non-convex-problems-1503.03712"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-sparse-pca-from-incomplete-data-1503.03903</loc><lastmod>2015-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-sparse-pca-from-incomplete-data-1503.03903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-sparse-pca-from-incomplete-data-1503.03903"/></url>
<url><loc>https://scifaro.com/en/abs/an-emphatic-approach-to-the-problem-of-off-policy-temporal-difference-learning-1503.04269</loc><lastmod>2016-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-emphatic-approach-to-the-problem-of-off-policy-temporal-difference-learning-1503.04269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-emphatic-approach-to-the-problem-of-off-policy-temporal-difference-learning-1503.04269"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixed-membership-community-models-in-social-tagging-networks-through-tensor-methods-1503.04567</loc><lastmod>2015-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixed-membership-community-models-in-social-tagging-networks-through-tensor-methods-1503.04567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixed-membership-community-models-in-social-tagging-networks-through-tensor-methods-1503.04567"/></url>
<url><loc>https://scifaro.com/en/abs/more-general-queries-and-less-generalization-error-in-adaptive-data-analysis-1503.04843</loc><lastmod>2015-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/more-general-queries-and-less-generalization-error-in-adaptive-data-analysis-1503.04843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/more-general-queries-and-less-generalization-error-in-adaptive-data-analysis-1503.04843"/></url>
<url><loc>https://scifaro.com/en/abs/on-extreme-pruning-of-random-forest-ensembles-for-real-time-predictive-applications-1503.04996</loc><lastmod>2015-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-extreme-pruning-of-random-forest-ensembles-for-real-time-predictive-applications-1503.04996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-extreme-pruning-of-random-forest-ensembles-for-real-time-predictive-applications-1503.04996"/></url>
<url><loc>https://scifaro.com/en/abs/ultra-fast-shapelets-for-time-series-classification-1503.05018</loc><lastmod>2015-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ultra-fast-shapelets-for-time-series-classification-1503.05018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ultra-fast-shapelets-for-time-series-classification-1503.05018"/></url>
<url><loc>https://scifaro.com/en/abs/importance-weighting-without-importance-weights-an-efficient-algorithm-for-combinatorial-semi-bandits-1503.05087</loc><lastmod>2016-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-weighting-without-importance-weights-an-efficient-algorithm-for-combinatorial-semi-bandits-1503.05087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-weighting-without-importance-weights-an-efficient-algorithm-for-combinatorial-semi-bandits-1503.05087"/></url>
<url><loc>https://scifaro.com/en/abs/an-outlier-detection-based-tree-selection-approach-to-extreme-pruning-of-random-forests-1503.05187</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-outlier-detection-based-tree-selection-approach-to-extreme-pruning-of-random-forests-1503.05187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-outlier-detection-based-tree-selection-approach-to-extreme-pruning-of-random-forests-1503.05187"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-machine-learning-for-big-data-a-review-1503.05296</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-machine-learning-for-big-data-a-review-1503.05296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-machine-learning-for-big-data-a-review-1503.05296"/></url>
<url><loc>https://scifaro.com/en/abs/shared-latent-subspace-modelling-within-gaussian-binary-restricted-boltzmann-machines-for-nist-i-vector-challenge-2014-1503.05471</loc><lastmod>2015-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shared-latent-subspace-modelling-within-gaussian-binary-restricted-boltzmann-machines-for-nist-i-vector-challenge-2014-1503.05471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shared-latent-subspace-modelling-within-gaussian-binary-restricted-boltzmann-machines-for-nist-i-vector-challenge-2014-1503.05471"/></url>
<url><loc>https://scifaro.com/en/abs/interpolating-convex-and-non-convex-tensor-decompositions-via-the-subspace-norm-1503.05479</loc><lastmod>2015-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpolating-convex-and-non-convex-tensor-decompositions-via-the-subspace-norm-1503.05479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpolating-convex-and-non-convex-tensor-decompositions-via-the-subspace-norm-1503.05479"/></url>
<url><loc>https://scifaro.com/en/abs/gsns-generative-stochastic-networks-1503.05571</loc><lastmod>2015-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gsns-generative-stochastic-networks-1503.05571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gsns-generative-stochastic-networks-1503.05571"/></url>
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<url><loc>https://scifaro.com/en/abs/on-invariance-and-selectivity-in-representation-learning-1503.05938</loc><lastmod>2015-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-invariance-and-selectivity-in-representation-learning-1503.05938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-invariance-and-selectivity-in-representation-learning-1503.05938"/></url>
<url><loc>https://scifaro.com/en/abs/rank-subspace-learning-for-compact-hash-codes-1503.05951</loc><lastmod>2015-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-subspace-learning-for-compact-hash-codes-1503.05951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-subspace-learning-for-compact-hash-codes-1503.05951"/></url>
<url><loc>https://scifaro.com/en/abs/networked-stochastic-multi-armed-bandits-with-combinatorial-strategies-1503.06169</loc><lastmod>2015-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/networked-stochastic-multi-armed-bandits-with-combinatorial-strategies-1503.06169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/networked-stochastic-multi-armed-bandits-with-combinatorial-strategies-1503.06169"/></url>
<url><loc>https://scifaro.com/en/abs/block-wise-map-inference-for-determinantal-point-processes-with-application-to-change-point-detection-1503.06239</loc><lastmod>2015-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-wise-map-inference-for-determinantal-point-processes-with-application-to-change-point-detection-1503.06239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-wise-map-inference-for-determinantal-point-processes-with-application-to-change-point-detection-1503.06239"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-model-compression-for-multilayer-bootstrap-networks-1503.06452</loc><lastmod>2015-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-model-compression-for-multilayer-bootstrap-networks-1503.06452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-model-compression-for-multilayer-bootstrap-networks-1503.06452"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-methods-for-attack-detection-in-the-smart-grid-1503.06468</loc><lastmod>2015-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-methods-for-attack-detection-in-the-smart-grid-1503.06468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-methods-for-attack-detection-in-the-smart-grid-1503.06468"/></url>
<url><loc>https://scifaro.com/en/abs/optimum-reject-options-for-prototype-based-classification-1503.06549</loc><lastmod>2015-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimum-reject-options-for-prototype-based-classification-1503.06549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimum-reject-options-for-prototype-based-classification-1503.06549"/></url>
<url><loc>https://scifaro.com/en/abs/on-some-provably-correct-cases-of-variational-inference-for-topic-models-1503.06567</loc><lastmod>2015-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-some-provably-correct-cases-of-variational-inference-for-topic-models-1503.06567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-some-provably-correct-cases-of-variational-inference-for-topic-models-1503.06567"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-approach-to-predicting-the-smoothed-complexity-of-sorting-algorithms-1503.06572</loc><lastmod>2015-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-approach-to-predicting-the-smoothed-complexity-of-sorting-algorithms-1503.06572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-approach-to-predicting-the-smoothed-complexity-of-sorting-algorithms-1503.06572"/></url>
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<url><loc>https://scifaro.com/en/abs/fusing-continuous-valued-medical-labels-using-a-bayesian-model-1503.06619</loc><lastmod>2015-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fusing-continuous-valued-medical-labels-using-a-bayesian-model-1503.06619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fusing-continuous-valued-medical-labels-using-a-bayesian-model-1503.06619"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-interpretation-of-sampling-theory-of-graph-signals-1503.06629</loc><lastmod>2015-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-interpretation-of-sampling-theory-of-graph-signals-1503.06629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-interpretation-of-sampling-theory-of-graph-signals-1503.06629"/></url>
<url><loc>https://scifaro.com/en/abs/online-classifier-adaptation-for-cost-sensitive-learning-1503.06745</loc><lastmod>2015-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-classifier-adaptation-for-cost-sensitive-learning-1503.06745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-classifier-adaptation-for-cost-sensitive-learning-1503.06745"/></url>
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<url><loc>https://scifaro.com/en/abs/a-note-on-information-directed-sampling-and-thompson-sampling-1503.06902</loc><lastmod>2015-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-information-directed-sampling-and-thompson-sampling-1503.06902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-information-directed-sampling-and-thompson-sampling-1503.06902"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-published-multi-label-classifier-performance-measures-to-the-ones-obtained-by-a-simple-multi-label-baseline-classifier-1503.06952</loc><lastmod>2015-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-published-multi-label-classifier-performance-measures-to-the-ones-obtained-by-a-simple-multi-label-baseline-classifier-1503.06952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-published-multi-label-classifier-performance-measures-to-the-ones-obtained-by-a-simple-multi-label-baseline-classifier-1503.06952"/></url>
<url><loc>https://scifaro.com/en/abs/sample-compression-schemes-for-vc-classes-1503.06960</loc><lastmod>2015-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-compression-schemes-for-vc-classes-1503.06960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-compression-schemes-for-vc-classes-1503.06960"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-radius-and-sample-complexity-of-itkm-algorithms-for-dictionary-learning-1503.07027</loc><lastmod>2016-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-radius-and-sample-complexity-of-itkm-algorithms-for-dictionary-learning-1503.07027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-radius-and-sample-complexity-of-itkm-algorithms-for-dictionary-learning-1503.07027"/></url>
<url><loc>https://scifaro.com/en/abs/universal-approximation-of-markov-kernels-by-shallow-stochastic-feedforward-networks-1503.07211</loc><lastmod>2015-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-approximation-of-markov-kernels-by-shallow-stochastic-feedforward-networks-1503.07211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-approximation-of-markov-kernels-by-shallow-stochastic-feedforward-networks-1503.07211"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-minimax-conditional-entropy-for-crowdsourcing-1503.07240</loc><lastmod>2015-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-minimax-conditional-entropy-for-crowdsourcing-1503.07240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-minimax-conditional-entropy-for-crowdsourcing-1503.07240"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-classification-techniques-in-the-area-of-big-data-1503.07477</loc><lastmod>2015-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-classification-techniques-in-the-area-of-big-data-1503.07477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-classification-techniques-in-the-area-of-big-data-1503.07477"/></url>
<url><loc>https://scifaro.com/en/abs/stable-feature-selection-from-brain-smri-1503.07508</loc><lastmod>2015-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-feature-selection-from-brain-smri-1503.07508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-feature-selection-from-brain-smri-1503.07508"/></url>
<url><loc>https://scifaro.com/en/abs/transductive-multi-label-zero-shot-learning-1503.07790</loc><lastmod>2015-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transductive-multi-label-zero-shot-learning-1503.07790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transductive-multi-label-zero-shot-learning-1503.07790"/></url>
<url><loc>https://scifaro.com/en/abs/multi-labeled-classification-of-demographic-attributes-of-patients-a-case-study-of-diabetics-patients-1503.07795</loc><lastmod>2015-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-labeled-classification-of-demographic-attributes-of-patients-a-case-study-of-diabetics-patients-1503.07795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-labeled-classification-of-demographic-attributes-of-patients-a-case-study-of-diabetics-patients-1503.07795"/></url>
<url><loc>https://scifaro.com/en/abs/transductive-multi-class-and-multi-label-zero-shot-learning-1503.07884</loc><lastmod>2015-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transductive-multi-class-and-multi-label-zero-shot-learning-1503.07884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transductive-multi-class-and-multi-label-zero-shot-learning-1503.07884"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-k-fan-multimodal-deep-model-with-shared-representations-1503.07906</loc><lastmod>2015-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-k-fan-multimodal-deep-model-with-shared-representations-1503.07906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-k-fan-multimodal-deep-model-with-shared-representations-1503.07906"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-cross-validation-and-waic-for-predictive-prior-design-in-regular-asymptotic-theory-1503.07970</loc><lastmod>2015-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-cross-validation-and-waic-for-predictive-prior-design-in-regular-asymptotic-theory-1503.07970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-cross-validation-and-waic-for-predictive-prior-design-in-regular-asymptotic-theory-1503.07970"/></url>
<url><loc>https://scifaro.com/en/abs/a-variance-reduced-stochastic-newton-method-1503.08316</loc><lastmod>2015-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variance-reduced-stochastic-newton-method-1503.08316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variance-reduced-stochastic-newton-method-1503.08316"/></url>
<url><loc>https://scifaro.com/en/abs/global-bandits-1503.08370</loc><lastmod>2018-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-bandits-1503.08370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-bandits-1503.08370"/></url>
<url><loc>https://scifaro.com/en/abs/towards-easier-and-faster-sequence-labeling-for-natural-language-processing-a-search-based-probabilistic-online-learning-framework-sapo-1503.08381</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-easier-and-faster-sequence-labeling-for-natural-language-processing-a-search-based-probabilistic-online-learning-framework-sapo-1503.08381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-easier-and-faster-sequence-labeling-for-natural-language-processing-a-search-based-probabilistic-online-learning-framework-sapo-1503.08381"/></url>
<url><loc>https://scifaro.com/en/abs/towards-more-efficient-spsd-matrix-approximation-and-cur-matrix-decomposition-1503.08395</loc><lastmod>2016-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-more-efficient-spsd-matrix-approximation-and-cur-matrix-decomposition-1503.08395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-more-efficient-spsd-matrix-approximation-and-cur-matrix-decomposition-1503.08395"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-plus-low-rank-autoregressive-identification-in-neuroimaging-time-series-1503.08639</loc><lastmod>2015-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-plus-low-rank-autoregressive-identification-in-neuroimaging-time-series-1503.08639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-plus-low-rank-autoregressive-identification-in-neuroimaging-time-series-1503.08639"/></url>
<url><loc>https://scifaro.com/en/abs/fast-label-embeddings-for-extremely-large-output-spaces-1503.08873</loc><lastmod>2015-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-label-embeddings-for-extremely-large-output-spaces-1503.08873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-label-embeddings-for-extremely-large-output-spaces-1503.08873"/></url>
<url><loc>https://scifaro.com/en/abs/learning-definite-horn-formulas-from-closure-queries-1503.09025</loc><lastmod>2015-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-definite-horn-formulas-from-closure-queries-1503.09025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-definite-horn-formulas-from-closure-queries-1503.09025"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-categorization-axioms-1503.09082</loc><lastmod>2016-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-categorization-axioms-1503.09082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-categorization-axioms-1503.09082"/></url>
<url><loc>https://scifaro.com/en/abs/the-libra-toolkit-for-probabilistic-models-1504.00110</loc><lastmod>2015-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-libra-toolkit-for-probabilistic-models-1504.00110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-libra-toolkit-for-probabilistic-models-1504.00110"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-vision-of-collaborative-active-learning-1504.00284</loc><lastmod>2015-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-vision-of-collaborative-active-learning-1504.00284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-vision-of-collaborative-active-learning-1504.00284"/></url>
<url><loc>https://scifaro.com/en/abs/direct-l-2-p-norm-learning-for-feature-selection-1504.00430</loc><lastmod>2015-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direct-l-2-p-norm-learning-for-feature-selection-1504.00430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direct-l-2-p-norm-learning-for-feature-selection-1504.00430"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-training-of-deep-visuomotor-policies-1504.00702</loc><lastmod>2016-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-training-of-deep-visuomotor-policies-1504.00702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-training-of-deep-visuomotor-policies-1504.00702"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-feature-selection-with-adaptive-structure-learning-1504.00736</loc><lastmod>2015-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-feature-selection-with-adaptive-structure-learning-1504.00736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-feature-selection-with-adaptive-structure-learning-1504.00736"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixed-membership-mallows-models-from-pairwise-comparisons-1504.00757</loc><lastmod>2015-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixed-membership-mallows-models-from-pairwise-comparisons-1504.00757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixed-membership-mallows-models-from-pairwise-comparisons-1504.00757"/></url>
<url><loc>https://scifaro.com/en/abs/the-gram-charlier-a-series-based-extended-rule-of-thumb-for-bandwidth-selection-in-univariate-and-multivariate-kernel-density-estimations-1504.00781</loc><lastmod>2015-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-gram-charlier-a-series-based-extended-rule-of-thumb-for-bandwidth-selection-in-univariate-and-multivariate-kernel-density-estimations-1504.00781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-gram-charlier-a-series-based-extended-rule-of-thumb-for-bandwidth-selection-in-univariate-and-multivariate-kernel-density-estimations-1504.00781"/></url>
<url><loc>https://scifaro.com/en/abs/the-child-is-father-of-the-man-foresee-the-success-at-the-early-stage-1504.00948</loc><lastmod>2015-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-child-is-father-of-the-man-foresee-the-success-at-the-early-stage-1504.00948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-child-is-father-of-the-man-foresee-the-success-at-the-early-stage-1504.00948"/></url>
<url><loc>https://scifaro.com/en/abs/elm-based-distributed-cooperative-learning-over-networks-1504.00981</loc><lastmod>2015-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elm-based-distributed-cooperative-learning-over-networks-1504.00981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elm-based-distributed-cooperative-learning-over-networks-1504.00981"/></url>
<url><loc>https://scifaro.com/en/abs/an-online-approach-to-dynamic-channel-access-and-transmission-scheduling-1504.01050</loc><lastmod>2015-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-online-approach-to-dynamic-channel-access-and-transmission-scheduling-1504.01050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-online-approach-to-dynamic-channel-access-and-transmission-scheduling-1504.01050"/></url>
<url><loc>https://scifaro.com/en/abs/sync-rank-robust-ranking-constrained-ranking-and-rank-aggregation-via-eigenvector-and-semidefinite-programming-synchronization-1504.01070</loc><lastmod>2015-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sync-rank-robust-ranking-constrained-ranking-and-rank-aggregation-via-eigenvector-and-semidefinite-programming-synchronization-1504.01070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sync-rank-robust-ranking-constrained-ranking-and-rank-aggregation-via-eigenvector-and-semidefinite-programming-synchronization-1504.01070"/></url>
<url><loc>https://scifaro.com/en/abs/em-based-channel-estimation-from-crowd-sourced-rssi-samples-corrupted-by-noise-and-interference-1504.01072</loc><lastmod>2015-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/em-based-channel-estimation-from-crowd-sourced-rssi-samples-corrupted-by-noise-and-interference-1504.01072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/em-based-channel-estimation-from-crowd-sourced-rssi-samples-corrupted-by-noise-and-interference-1504.01072"/></url>
<url><loc>https://scifaro.com/en/abs/passcode-parallel-asynchronous-stochastic-dual-co-ordinate-descent-1504.01365</loc><lastmod>2015-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/passcode-parallel-asynchronous-stochastic-dual-co-ordinate-descent-1504.01365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/passcode-parallel-asynchronous-stochastic-dual-co-ordinate-descent-1504.01365"/></url>
<url><loc>https://scifaro.com/en/abs/totally-corrective-boosting-with-cardinality-penalization-1504.01446</loc><lastmod>2015-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/totally-corrective-boosting-with-cardinality-penalization-1504.01446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/totally-corrective-boosting-with-cardinality-penalization-1504.01446"/></url>
<url><loc>https://scifaro.com/en/abs/deep-recurrent-neural-networks-for-acoustic-modelling-1504.01482</loc><lastmod>2015-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-recurrent-neural-networks-for-acoustic-modelling-1504.01482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-recurrent-neural-networks-for-acoustic-modelling-1504.01482"/></url>
<url><loc>https://scifaro.com/en/abs/transferring-knowledge-from-a-rnn-to-a-dnn-1504.01483</loc><lastmod>2015-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferring-knowledge-from-a-rnn-to-a-dnn-1504.01483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferring-knowledge-from-a-rnn-to-a-dnn-1504.01483"/></url>
<url><loc>https://scifaro.com/en/abs/bidirectional-recurrent-neural-networks-as-generative-models-reconstructing-gaps-in-time-series-1504.01575</loc><lastmod>2015-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bidirectional-recurrent-neural-networks-as-generative-models-reconstructing-gaps-in-time-series-1504.01575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bidirectional-recurrent-neural-networks-as-generative-models-reconstructing-gaps-in-time-series-1504.01575"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-machines-for-learning-target-specific-polynomial-features-1504.01697</loc><lastmod>2015-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-machines-for-learning-target-specific-polynomial-features-1504.01697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-machines-for-learning-target-specific-polynomial-features-1504.01697"/></url>
<url><loc>https://scifaro.com/en/abs/autonomous-crm-control-via-clv-approximation-with-deep-reinforcement-learning-in-discrete-and-continuous-action-space-1504.01840</loc><lastmod>2015-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autonomous-crm-control-via-clv-approximation-with-deep-reinforcement-learning-in-discrete-and-continuous-action-space-1504.01840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autonomous-crm-control-via-clv-approximation-with-deep-reinforcement-learning-in-discrete-and-continuous-action-space-1504.01840"/></url>
<url><loc>https://scifaro.com/en/abs/data-mining-for-prediction-of-human-performance-capability-in-the-software-industry-1504.01934</loc><lastmod>2015-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-mining-for-prediction-of-human-performance-capability-in-the-software-industry-1504.01934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-mining-for-prediction-of-human-performance-capability-in-the-software-industry-1504.01934"/></url>
<url><loc>https://scifaro.com/en/abs/the-computational-power-of-optimization-in-online-learning-1504.02089</loc><lastmod>2016-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-computational-power-of-optimization-in-online-learning-1504.02089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-computational-power-of-optimization-in-online-learning-1504.02089"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-falls-with-x-factor-hidden-markov-models-1504.02141</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-falls-with-x-factor-hidden-markov-models-1504.02141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-falls-with-x-factor-hidden-markov-models-1504.02141"/></url>
<url><loc>https://scifaro.com/en/abs/a-group-theoretic-perspective-on-unsupervised-deep-learning-1504.02462</loc><lastmod>2015-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-group-theoretic-perspective-on-unsupervised-deep-learning-1504.02462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-group-theoretic-perspective-on-unsupervised-deep-learning-1504.02462"/></url>
<url><loc>https://scifaro.com/en/abs/learning-arbitrary-statistical-mixtures-of-discrete-distributions-1504.02526</loc><lastmod>2015-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-arbitrary-statistical-mixtures-of-discrete-distributions-1504.02526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-arbitrary-statistical-mixtures-of-discrete-distributions-1504.02526"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-entropy-linear-manifold-for-learning-discriminative-low-dimensional-representation-1504.02622</loc><lastmod>2015-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-entropy-linear-manifold-for-learning-discriminative-low-dimensional-representation-1504.02622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-entropy-linear-manifold-for-learning-discriminative-low-dimensional-representation-1504.02622"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-of-probability-density-functions-based-contrasts-for-blind-source-separation-bss-1504.02712</loc><lastmod>2015-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-of-probability-density-functions-based-contrasts-for-blind-source-separation-bss-1504.02712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-of-probability-density-functions-based-contrasts-for-blind-source-separation-bss-1504.02712"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-embedding-model-for-co-occurrence-learning-1504.02824</loc><lastmod>2015-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-embedding-model-for-co-occurrence-learning-1504.02824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-embedding-model-for-co-occurrence-learning-1504.02824"/></url>
<url><loc>https://scifaro.com/en/abs/gradual-training-method-for-denoising-auto-encoders-1504.02902</loc><lastmod>2015-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradual-training-method-for-denoising-auto-encoders-1504.02902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradual-training-method-for-denoising-auto-encoders-1504.02902"/></url>
<url><loc>https://scifaro.com/en/abs/classification-with-extreme-learning-machine-and-ensemble-algorithms-over-randomly-partitioned-data-1504.02975</loc><lastmod>2015-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-with-extreme-learning-machine-and-ensemble-algorithms-over-randomly-partitioned-data-1504.02975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-with-extreme-learning-machine-and-ensemble-algorithms-over-randomly-partitioned-data-1504.02975"/></url>
<url><loc>https://scifaro.com/en/abs/convex-learning-of-multiple-tasks-and-their-structure-1504.03101</loc><lastmod>2015-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-learning-of-multiple-tasks-and-their-structure-1504.03101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-learning-of-multiple-tasks-and-their-structure-1504.03101"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multiple-visual-tasks-while-discovering-their-structure-1504.03106</loc><lastmod>2015-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multiple-visual-tasks-while-discovering-their-structure-1504.03106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multiple-visual-tasks-while-discovering-their-structure-1504.03106"/></url>
<url><loc>https://scifaro.com/en/abs/regret-vs-communication-distributed-stochastic-multi-armed-bandits-and-beyond-1504.03509</loc><lastmod>2020-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-vs-communication-distributed-stochastic-multi-armed-bandits-and-beyond-1504.03509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-vs-communication-distributed-stochastic-multi-armed-bandits-and-beyond-1504.03509"/></url>
<url><loc>https://scifaro.com/en/abs/scale-up-nonlinear-component-analysis-with-doubly-stochastic-gradients-1504.03655</loc><lastmod>2016-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scale-up-nonlinear-component-analysis-with-doubly-stochastic-gradients-1504.03655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scale-up-nonlinear-component-analysis-with-doubly-stochastic-gradients-1504.03655"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-clustering-of-time-evolving-distance-data-1504.03701</loc><lastmod>2015-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-clustering-of-time-evolving-distance-data-1504.03701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-clustering-of-time-evolving-distance-data-1504.03701"/></url>
<url><loc>https://scifaro.com/en/abs/linear-maximum-margin-classifier-for-learning-from-uncertain-data-1504.03892</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-maximum-margin-classifier-for-learning-from-uncertain-data-1504.03892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-maximum-margin-classifier-for-learning-from-uncertain-data-1504.03892"/></url>
<url><loc>https://scifaro.com/en/abs/theory-of-dual-sparse-regularized-randomized-reduction-1504.03991</loc><lastmod>2015-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-of-dual-sparse-regularized-randomized-reduction-1504.03991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-of-dual-sparse-regularized-randomized-reduction-1504.03991"/></url>
<url><loc>https://scifaro.com/en/abs/caffe-con-troll-shallow-ideas-to-speed-up-deep-learning-1504.04343</loc><lastmod>2015-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/caffe-con-troll-shallow-ideas-to-speed-up-deep-learning-1504.04343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/caffe-con-troll-shallow-ideas-to-speed-up-deep-learning-1504.04343"/></url>
<url><loc>https://scifaro.com/en/abs/mini-batch-semi-stochastic-gradient-descent-in-the-proximal-setting-1504.04407</loc><lastmod>2016-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mini-batch-semi-stochastic-gradient-descent-in-the-proximal-setting-1504.04407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mini-batch-semi-stochastic-gradient-descent-in-the-proximal-setting-1504.04407"/></url>
<url><loc>https://scifaro.com/en/abs/the-nataf-beta-random-field-classifier-an-extension-of-the-beta-conjugate-prior-to-classification-problems-1504.04588</loc><lastmod>2015-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-nataf-beta-random-field-classifier-an-extension-of-the-beta-conjugate-prior-to-classification-problems-1504.04588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-nataf-beta-random-field-classifier-an-extension-of-the-beta-conjugate-prior-to-classification-problems-1504.04588"/></url>
<url><loc>https://scifaro.com/en/abs/testing-closeness-with-unequal-sized-samples-1504.04599</loc><lastmod>2015-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-closeness-with-unequal-sized-samples-1504.04599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-closeness-with-unequal-sized-samples-1504.04599"/></url>
<url><loc>https://scifaro.com/en/abs/performance-evaluation-of-machine-learning-algorithms-in-post-operative-life-expectancy-in-the-lung-cancer-patients-1504.04646</loc><lastmod>2015-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-evaluation-of-machine-learning-algorithms-in-post-operative-life-expectancy-in-the-lung-cancer-patients-1504.04646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-evaluation-of-machine-learning-algorithms-in-post-operative-life-expectancy-in-the-lung-cancer-patients-1504.04646"/></url>
<url><loc>https://scifaro.com/en/abs/fast-optimization-of-multithreshold-entropy-linear-classifier-1504.04739</loc><lastmod>2015-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-optimization-of-multithreshold-entropy-linear-classifier-1504.04739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-optimization-of-multithreshold-entropy-linear-classifier-1504.04739"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-consistency-of-multithreshold-entropy-linear-classifier-1504.04740</loc><lastmod>2015-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-consistency-of-multithreshold-entropy-linear-classifier-1504.04740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-consistency-of-multithreshold-entropy-linear-classifier-1504.04740"/></url>
<url><loc>https://scifaro.com/en/abs/compressing-neural-networks-with-the-hashing-trick-1504.04788</loc><lastmod>2015-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressing-neural-networks-with-the-hashing-trick-1504.04788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressing-neural-networks-with-the-hashing-trick-1504.04788"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-bayesian-models-for-multi-level-clustering-of-hierarchically-grouped-sequential-data-1504.04850</loc><lastmod>2015-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-bayesian-models-for-multi-level-clustering-of-hierarchically-grouped-sequential-data-1504.04850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-bayesian-models-for-multi-level-clustering-of-hierarchically-grouped-sequential-data-1504.04850"/></url>
<url><loc>https://scifaro.com/en/abs/f-svm-combination-of-feature-transformation-and-svm-learning-via-convex-relaxation-1504.05035</loc><lastmod>2015-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/f-svm-combination-of-feature-transformation-and-svm-learning-via-convex-relaxation-1504.05035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/f-svm-combination-of-feature-transformation-and-svm-learning-via-convex-relaxation-1504.05035"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-nudging-solving-average-reward-semi-markov-decision-processes-as-a-minimal-sequence-of-cumulative-tasks-1504.05122</loc><lastmod>2015-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-nudging-solving-average-reward-semi-markov-decision-processes-as-a-minimal-sequence-of-cumulative-tasks-1504.05122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-nudging-solving-average-reward-semi-markov-decision-processes-as-a-minimal-sequence-of-cumulative-tasks-1504.05122"/></url>
<url><loc>https://scifaro.com/en/abs/poisson-matrix-recovery-and-completion-1504.05229</loc><lastmod>2016-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisson-matrix-recovery-and-completion-1504.05229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisson-matrix-recovery-and-completion-1504.05229"/></url>
<url><loc>https://scifaro.com/en/abs/instance-optimal-learning-1504.05321</loc><lastmod>2015-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-optimal-learning-1504.05321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-optimal-learning-1504.05321"/></url>
<url><loc>https://scifaro.com/en/abs/effective-discriminative-feature-selection-with-non-trivial-solutions-1504.05408</loc><lastmod>2015-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-discriminative-feature-selection-with-non-trivial-solutions-1504.05408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-discriminative-feature-selection-with-non-trivial-solutions-1504.05408"/></url>
<url><loc>https://scifaro.com/en/abs/deep-convolutional-neural-networks-based-on-semi-discrete-frames-1504.05487</loc><lastmod>2016-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-convolutional-neural-networks-based-on-semi-discrete-frames-1504.05487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-convolutional-neural-networks-based-on-semi-discrete-frames-1504.05487"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-difference-networks-1504.05539</loc><lastmod>2015-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-difference-networks-1504.05539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-difference-networks-1504.05539"/></url>
<url><loc>https://scifaro.com/en/abs/self-tuned-deep-super-resolution-1504.05632</loc><lastmod>2015-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-tuned-deep-super-resolution-1504.05632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-tuned-deep-super-resolution-1504.05632"/></url>
<url><loc>https://scifaro.com/en/abs/rebuilding-factorized-information-criterion-asymptotically-accurate-marginal-likelihood-1504.05665</loc><lastmod>2015-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rebuilding-factorized-information-criterion-asymptotically-accurate-marginal-likelihood-1504.05665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rebuilding-factorized-information-criterion-asymptotically-accurate-marginal-likelihood-1504.05665"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-generalization-properties-of-differential-privacy-1504.05800</loc><lastmod>2015-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-generalization-properties-of-differential-privacy-1504.05800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-generalization-properties-of-differential-privacy-1504.05800"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-fly-approximation-of-multivariate-total-variation-minimization-1504.05854</loc><lastmod>2016-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-fly-approximation-of-multivariate-total-variation-minimization-1504.05854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-fly-approximation-of-multivariate-total-variation-minimization-1504.05854"/></url>
<url><loc>https://scifaro.com/en/abs/svcr-an-r-package-for-support-vector-clustering-improved-with-geometric-hashing-applied-to-lexical-pattern-discovery-1504.06080</loc><lastmod>2015-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/svcr-an-r-package-for-support-vector-clustering-improved-with-geometric-hashing-applied-to-lexical-pattern-discovery-1504.06080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/svcr-an-r-package-for-support-vector-clustering-improved-with-geometric-hashing-applied-to-lexical-pattern-discovery-1504.06080"/></url>
<url><loc>https://scifaro.com/en/abs/collectively-embedding-multi-relational-data-for-predicting-user-preferences-1504.06165</loc><lastmod>2015-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collectively-embedding-multi-relational-data-for-predicting-user-preferences-1504.06165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collectively-embedding-multi-relational-data-for-predicting-user-preferences-1504.06165"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-approach-for-physiological-time-series-1504.06274</loc><lastmod>2015-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-approach-for-physiological-time-series-1504.06274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-approach-for-physiological-time-series-1504.06274"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-stopping-active-learning-based-on-stabilizing-predictions-1504.06329</loc><lastmod>2015-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-stopping-active-learning-based-on-stabilizing-predictions-1504.06329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-stopping-active-learning-based-on-stabilizing-predictions-1504.06329"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-switching-linear-dynamical-systems-applied-to-physiological-condition-monitoring-1504.06494</loc><lastmod>2015-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-switching-linear-dynamical-systems-applied-to-physiological-condition-monitoring-1504.06494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-switching-linear-dynamical-systems-applied-to-physiological-condition-monitoring-1504.06494"/></url>
<url><loc>https://scifaro.com/en/abs/online-convex-optimization-using-predictions-1504.06681</loc><lastmod>2015-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-convex-optimization-using-predictions-1504.06681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-convex-optimization-using-predictions-1504.06681"/></url>
<url><loc>https://scifaro.com/en/abs/max-margin-deep-generative-models-1504.06787</loc><lastmod>2015-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-margin-deep-generative-models-1504.06787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-margin-deep-generative-models-1504.06787"/></url>
<url><loc>https://scifaro.com/en/abs/overlapping-communities-detection-via-measure-space-embedding-1504.06796</loc><lastmod>2016-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overlapping-communities-detection-via-measure-space-embedding-1504.06796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overlapping-communities-detection-via-measure-space-embedding-1504.06796"/></url>
<url><loc>https://scifaro.com/en/abs/overlapping-community-detection-by-online-cluster-aggregation-1504.06798</loc><lastmod>2015-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overlapping-community-detection-by-online-cluster-aggregation-1504.06798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overlapping-community-detection-by-online-cluster-aggregation-1504.06798"/></url>
<url><loc>https://scifaro.com/en/abs/relative-error-bound-analysis-for-nuclear-norm-regularized-matrix-completion-1504.06817</loc><lastmod>2024-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-error-bound-analysis-for-nuclear-norm-regularized-matrix-completion-1504.06817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-error-bound-analysis-for-nuclear-norm-regularized-matrix-completion-1504.06817"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-training-methods-for-deep-neural-networks-1504.06825</loc><lastmod>2015-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-training-methods-for-deep-neural-networks-1504.06825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-training-methods-for-deep-neural-networks-1504.06825"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-with-logarithmic-or-sublinear-regret-for-constrained-contextual-bandits-1504.06937</loc><lastmod>2015-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-with-logarithmic-or-sublinear-regret-for-constrained-contextual-bandits-1504.06937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-with-logarithmic-or-sublinear-regret-for-constrained-contextual-bandits-1504.06937"/></url>
<url><loc>https://scifaro.com/en/abs/random-forest-for-the-contextual-bandit-problem-extended-version-1504.06952</loc><lastmod>2016-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-forest-for-the-contextual-bandit-problem-extended-version-1504.06952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-forest-for-the-contextual-bandit-problem-extended-version-1504.06952"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-kernel-discriminant-analysis-1504.07000</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-kernel-discriminant-analysis-1504.07000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-kernel-discriminant-analysis-1504.07000"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-of-bounds-on-the-bayes-classifier-error-1504.07116</loc><lastmod>2016-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-of-bounds-on-the-bayes-classifier-error-1504.07116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-of-bounds-on-the-bayes-classifier-error-1504.07116"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-mle-top-k-rank-aggregation-from-pairwise-comparisons-1504.07218</loc><lastmod>2015-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-mle-top-k-rank-aggregation-from-pairwise-comparisons-1504.07218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-mle-top-k-rank-aggregation-from-pairwise-comparisons-1504.07218"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-regret-bounds-for-generalized-classification-performance-metrics-1504.07272</loc><lastmod>2016-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-regret-bounds-for-generalized-classification-performance-metrics-1504.07272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-regret-bounds-for-generalized-classification-performance-metrics-1504.07272"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-regularization-for-structured-output-prediction-1504.07550</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-regularization-for-structured-output-prediction-1504.07550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-regularization-for-structured-output-prediction-1504.07550"/></url>
<url><loc>https://scifaro.com/en/abs/or-s-of-and-s-for-interpretable-classification-with-application-to-context-aware-recommender-systems-1504.07614</loc><lastmod>2015-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/or-s-of-and-s-for-interpretable-classification-with-application-to-context-aware-recommender-systems-1504.07614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/or-s-of-and-s-for-interpretable-classification-with-application-to-context-aware-recommender-systems-1504.07614"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-explore-exploit-policies-in-multi-result-ranking-systems-1504.07662</loc><lastmod>2015-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-explore-exploit-policies-in-multi-result-ranking-systems-1504.07662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-explore-exploit-policies-in-multi-result-ranking-systems-1504.07662"/></url>
<url><loc>https://scifaro.com/en/abs/dual-averaging-on-compactly-supported-distributions-and-application-to-no-regret-learning-on-a-continuum-1504.07720</loc><lastmod>2015-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-averaging-on-compactly-supported-distributions-and-application-to-no-regret-learning-on-a-continuum-1504.07720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-averaging-on-compactly-supported-distributions-and-application-to-no-regret-learning-on-a-continuum-1504.07720"/></url>
<url><loc>https://scifaro.com/en/abs/learning-contextualized-music-semantics-from-tags-via-a-siamese-network-1504.07968</loc><lastmod>2016-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-contextualized-music-semantics-from-tags-via-a-siamese-network-1504.07968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-contextualized-music-semantics-from-tags-via-a-siamese-network-1504.07968"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-model-for-structured-outputs-with-high-order-interaction-1504.08022</loc><lastmod>2015-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-model-for-structured-outputs-with-high-order-interaction-1504.08022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-model-for-structured-outputs-with-high-order-interaction-1504.08022"/></url>
<url><loc>https://scifaro.com/en/abs/note-on-equivalence-between-recurrent-neural-network-time-series-models-and-variational-bayesian-models-1504.08025</loc><lastmod>2016-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/note-on-equivalence-between-recurrent-neural-network-time-series-models-and-variational-bayesian-models-1504.08025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/note-on-equivalence-between-recurrent-neural-network-time-series-models-and-variational-bayesian-models-1504.08025"/></url>
<url><loc>https://scifaro.com/en/abs/multi-user-lax-communications-a-multi-armed-bandit-approach-1504.08167</loc><lastmod>2015-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-user-lax-communications-a-multi-armed-bandit-approach-1504.08167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-user-lax-communications-a-multi-armed-bandit-approach-1504.08167"/></url>
<url><loc>https://scifaro.com/en/abs/lateral-connections-in-denoising-autoencoders-support-supervised-learning-1504.08215</loc><lastmod>2015-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lateral-connections-in-denoising-autoencoders-support-supervised-learning-1504.08215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lateral-connections-in-denoising-autoencoders-support-supervised-learning-1504.08215"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-budgeted-multi-armed-bandits-1505.00146</loc><lastmod>2015-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-budgeted-multi-armed-bandits-1505.00146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-budgeted-multi-armed-bandits-1505.00146"/></url>
<url><loc>https://scifaro.com/en/abs/theory-of-optimizing-pseudolinear-performance-measures-application-to-f-measure-1505.00199</loc><lastmod>2018-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-of-optimizing-pseudolinear-performance-measures-application-to-f-measure-1505.00199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-of-optimizing-pseudolinear-performance-measures-application-to-f-measure-1505.00199"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-for-lipschitz-learning-on-graphs-1505.00290</loc><lastmod>2015-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-lipschitz-learning-on-graphs-1505.00290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-lipschitz-learning-on-graphs-1505.00290"/></url>
<url><loc>https://scifaro.com/en/abs/monotonous-semi-nonnegative-matrix-factorization-1505.00294</loc><lastmod>2015-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monotonous-semi-nonnegative-matrix-factorization-1505.00294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monotonous-semi-nonnegative-matrix-factorization-1505.00294"/></url>
<url><loc>https://scifaro.com/en/abs/deconstructing-principal-component-analysis-using-a-data-reconciliation-perspective-1505.00314</loc><lastmod>2015-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deconstructing-principal-component-analysis-using-a-data-reconciliation-perspective-1505.00314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deconstructing-principal-component-analysis-using-a-data-reconciliation-perspective-1505.00314"/></url>
<url><loc>https://scifaro.com/en/abs/using-pca-to-efficiently-represent-state-spaces-1505.00322</loc><lastmod>2015-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-pca-to-efficiently-represent-state-spaces-1505.00322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-pca-to-efficiently-represent-state-spaces-1505.00322"/></url>
<url><loc>https://scifaro.com/en/abs/can-deep-learning-help-you-find-the-perfect-match-1505.00359</loc><lastmod>2015-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-deep-learning-help-you-find-the-perfect-match-1505.00359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-deep-learning-help-you-find-the-perfect-match-1505.00359"/></url>
<url><loc>https://scifaro.com/en/abs/highway-networks-1505.00387</loc><lastmod>2015-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/highway-networks-1505.00387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/highway-networks-1505.00387"/></url>
<url><loc>https://scifaro.com/en/abs/visualization-of-tradeoff-in-evaluation-from-precision-recall-pn-to-lift-roc-bird-1505.00401</loc><lastmod>2020-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualization-of-tradeoff-in-evaluation-from-precision-recall-pn-to-lift-roc-bird-1505.00401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualization-of-tradeoff-in-evaluation-from-precision-recall-pn-to-lift-roc-bird-1505.00401"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-spectral-clustering-and-applications-1505.00477</loc><lastmod>2015-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-spectral-clustering-and-applications-1505.00477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-spectral-clustering-and-applications-1505.00477"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-neural-turing-machines-revised-1505.00521</loc><lastmod>2016-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-neural-turing-machines-revised-1505.00521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-neural-turing-machines-revised-1505.00521"/></url>
<url><loc>https://scifaro.com/en/abs/fastfm-a-library-for-factorization-machines-1505.00641</loc><lastmod>2016-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fastfm-a-library-for-factorization-machines-1505.00641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fastfm-a-library-for-factorization-machines-1505.00641"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-evaluation-of-rectified-activations-in-convolutional-network-1505.00853</loc><lastmod>2015-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-evaluation-of-rectified-activations-in-convolutional-network-1505.00853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-evaluation-of-rectified-activations-in-convolutional-network-1505.00853"/></url>
<url><loc>https://scifaro.com/en/abs/reinforced-decision-trees-1505.00908</loc><lastmod>2015-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforced-decision-trees-1505.00908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforced-decision-trees-1505.00908"/></url>
<url><loc>https://scifaro.com/en/abs/a-comprehensive-study-on-the-applications-of-machine-learning-for-diagnosis-of-cancer-1505.01345</loc><lastmod>2015-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comprehensive-study-on-the-applications-of-machine-learning-for-diagnosis-of-cancer-1505.01345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comprehensive-study-on-the-applications-of-machine-learning-for-diagnosis-of-cancer-1505.01345"/></url>
<url><loc>https://scifaro.com/en/abs/re-scale-boosting-for-regression-and-classification-1505.01371</loc><lastmod>2015-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/re-scale-boosting-for-regression-and-classification-1505.01371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/re-scale-boosting-for-regression-and-classification-1505.01371"/></url>
<url><loc>https://scifaro.com/en/abs/fast-differentially-private-matrix-factorization-1505.01419</loc><lastmod>2015-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-differentially-private-matrix-factorization-1505.01419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-differentially-private-matrix-factorization-1505.01419"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-from-pairwise-comparisons-sharp-minimax-bounds-with-topology-dependence-1505.01462</loc><lastmod>2015-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-from-pairwise-comparisons-sharp-minimax-bounds-with-topology-dependence-1505.01462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-from-pairwise-comparisons-sharp-minimax-bounds-with-topology-dependence-1505.01462"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-optimization-with-submodular-functions-1505.01576</loc><lastmod>2015-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-optimization-with-submodular-functions-1505.01576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-optimization-with-submodular-functions-1505.01576"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-predictive-modelling-under-imbalanced-distributions-1505.01658</loc><lastmod>2015-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-predictive-modelling-under-imbalanced-distributions-1505.01658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-predictive-modelling-under-imbalanced-distributions-1505.01658"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-decision-theoretic-classification-using-non-decomposable-performance-metrics-1505.01802</loc><lastmod>2015-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-decision-theoretic-classification-using-non-decomposable-performance-metrics-1505.01802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-decision-theoretic-classification-using-non-decomposable-performance-metrics-1505.01802"/></url>
<url><loc>https://scifaro.com/en/abs/dart-dropouts-meet-multiple-additive-regression-trees-1505.01866</loc><lastmod>2015-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dart-dropouts-meet-multiple-additive-regression-trees-1505.01866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dart-dropouts-meet-multiple-additive-regression-trees-1505.01866"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-medical-image-segmentation-1505.02000</loc><lastmod>2015-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-medical-image-segmentation-1505.02000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-medical-image-segmentation-1505.02000"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-models-and-data-for-image-question-answering-1505.02074</loc><lastmod>2015-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-models-and-data-for-image-question-answering-1505.02074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-models-and-data-for-image-question-answering-1505.02074"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-cascading-for-large-scale-hierarchical-classification-1505.02251</loc><lastmod>2015-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-cascading-for-large-scale-hierarchical-classification-1505.02251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-cascading-for-large-scale-hierarchical-classification-1505.02251"/></url>
<url><loc>https://scifaro.com/en/abs/should-we-really-use-post-hoc-tests-based-on-mean-ranks-1505.02288</loc><lastmod>2015-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/should-we-really-use-post-hoc-tests-based-on-mean-ranks-1505.02288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/should-we-really-use-post-hoc-tests-based-on-mean-ranks-1505.02288"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-clustering-and-model-selection-for-multinomial-distribution-a-comparative-study-1505.02324</loc><lastmod>2015-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-clustering-and-model-selection-for-multinomial-distribution-a-comparative-study-1505.02324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-clustering-and-model-selection-for-multinomial-distribution-a-comparative-study-1505.02324"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-sparse-tucker-models-for-dimension-reduction-and-tensor-completion-1505.02343</loc><lastmod>2015-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-sparse-tucker-models-for-dimension-reduction-and-tensor-completion-1505.02343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-sparse-tucker-models-for-dimension-reduction-and-tensor-completion-1505.02343"/></url>
<url><loc>https://scifaro.com/en/abs/bounded-distortion-metric-learning-1505.02377</loc><lastmod>2015-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounded-distortion-metric-learning-1505.02377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounded-distortion-metric-learning-1505.02377"/></url>
<url><loc>https://scifaro.com/en/abs/improving-neural-networks-with-bunches-of-neurons-modeled-by-kumaraswamy-units-preliminary-study-1505.02581</loc><lastmod>2015-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-neural-networks-with-bunches-of-neurons-modeled-by-kumaraswamy-units-preliminary-study-1505.02581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-neural-networks-with-bunches-of-neurons-modeled-by-kumaraswamy-units-preliminary-study-1505.02581"/></url>
<url><loc>https://scifaro.com/en/abs/sample-complexity-of-learning-mahalanobis-distance-metrics-1505.02729</loc><lastmod>2015-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-complexity-of-learning-mahalanobis-distance-metrics-1505.02729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-complexity-of-learning-mahalanobis-distance-metrics-1505.02729"/></url>
<url><loc>https://scifaro.com/en/abs/the-boundary-forest-algorithm-for-online-supervised-and-unsupervised-learning-1505.02867</loc><lastmod>2015-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-boundary-forest-algorithm-for-online-supervised-and-unsupervised-learning-1505.02867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-boundary-forest-algorithm-for-online-supervised-and-unsupervised-learning-1505.02867"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-type-ii-error-probabilities-from-independence-tests-into-score-based-learning-of-bayesian-network-structure-1505.02870</loc><lastmod>2015-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-type-ii-error-probabilities-from-independence-tests-into-score-based-learning-of-bayesian-network-structure-1505.02870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-type-ii-error-probabilities-from-independence-tests-into-score-based-learning-of-bayesian-network-structure-1505.02870"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-data-clustering-approach-using-k-means-and-flower-pollination-algorithm-1505.03236</loc><lastmod>2015-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-data-clustering-approach-using-k-means-and-flower-pollination-algorithm-1505.03236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-data-clustering-approach-using-k-means-and-flower-pollination-algorithm-1505.03236"/></url>
<url><loc>https://scifaro.com/en/abs/a-pca-based-convolutional-network-1505.03703</loc><lastmod>2015-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pca-based-convolutional-network-1505.03703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pca-based-convolutional-network-1505.03703"/></url>
<url><loc>https://scifaro.com/en/abs/safe-screening-for-multi-task-feature-learning-with-multiple-data-matrices-1505.04073</loc><lastmod>2015-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-screening-for-multi-task-feature-learning-with-multiple-data-matrices-1505.04073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-screening-for-multi-task-feature-learning-with-multiple-data-matrices-1505.04073"/></url>
<url><loc>https://scifaro.com/en/abs/margins-kernels-and-non-linear-smoothed-perceptrons-1505.04123</loc><lastmod>2015-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/margins-kernels-and-non-linear-smoothed-perceptrons-1505.04123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/margins-kernels-and-non-linear-smoothed-perceptrons-1505.04123"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-algorithms-for-multiclass-classification-with-a-reject-option-1505.04137</loc><lastmod>2015-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-algorithms-for-multiclass-classification-with-a-reject-option-1505.04137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-algorithms-for-multiclass-classification-with-a-reject-option-1505.04137"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-connections-between-active-learning-and-stochastic-convex-optimization-1505.04214</loc><lastmod>2015-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-connections-between-active-learning-and-stochastic-convex-optimization-1505.04214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-connections-between-active-learning-and-stochastic-convex-optimization-1505.04214"/></url>
<url><loc>https://scifaro.com/en/abs/shrinkage-degree-in-l-2-re-scale-boosting-for-regression-1505.04369</loc><lastmod>2015-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shrinkage-degree-in-l-2-re-scale-boosting-for-regression-1505.04369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shrinkage-degree-in-l-2-re-scale-boosting-for-regression-1505.04369"/></url>
<url><loc>https://scifaro.com/en/abs/hinge-loss-markov-random-fields-and-probabilistic-soft-logic-1505.04406</loc><lastmod>2017-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hinge-loss-markov-random-fields-and-probabilistic-soft-logic-1505.04406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hinge-loss-markov-random-fields-and-probabilistic-soft-logic-1505.04406"/></url>
<url><loc>https://scifaro.com/en/abs/simple-regret-for-infinitely-many-armed-bandits-1505.04627</loc><lastmod>2015-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-regret-for-infinitely-many-armed-bandits-1505.04627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-regret-for-infinitely-many-armed-bandits-1505.04627"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-of-example-dependent-cost-sensitive-decision-trees-1505.04637</loc><lastmod>2015-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-of-example-dependent-cost-sensitive-decision-trees-1505.04637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-of-example-dependent-cost-sensitive-decision-trees-1505.04637"/></url>
<url><loc>https://scifaro.com/en/abs/compressed-nonnegative-matrix-factorization-is-fast-and-accurate-1505.04650</loc><lastmod>2016-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressed-nonnegative-matrix-factorization-is-fast-and-accurate-1505.04650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressed-nonnegative-matrix-factorization-is-fast-and-accurate-1505.04650"/></url>
<url><loc>https://scifaro.com/en/abs/dopelearning-a-computational-approach-to-rap-lyrics-generation-1505.04771</loc><lastmod>2016-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dopelearning-a-computational-approach-to-rap-lyrics-generation-1505.04771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dopelearning-a-computational-approach-to-rap-lyrics-generation-1505.04771"/></url>
<url><loc>https://scifaro.com/en/abs/risk-and-regret-of-hierarchical-bayesian-learners-1505.04984</loc><lastmod>2015-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-and-regret-of-hierarchical-bayesian-learners-1505.04984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-and-regret-of-hierarchical-bayesian-learners-1505.04984"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-a-drifting-target-concept-1505.05215</loc><lastmod>2015-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-a-drifting-target-concept-1505.05215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-a-drifting-target-concept-1505.05215"/></url>
<url><loc>https://scifaro.com/en/abs/bounds-on-the-minimax-rate-for-estimating-a-prior-over-a-vc-class-from-independent-learning-tasks-1505.05231</loc><lastmod>2015-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounds-on-the-minimax-rate-for-estimating-a-prior-over-a-vc-class-from-independent-learning-tasks-1505.05231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounds-on-the-minimax-rate-for-estimating-a-prior-over-a-vc-class-from-independent-learning-tasks-1505.05231"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-relation-between-accuracy-and-fairness-in-binary-classification-1505.05723</loc><lastmod>2015-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-relation-between-accuracy-and-fairness-in-binary-classification-1505.05723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-relation-between-accuracy-and-fairness-in-binary-classification-1505.05723"/></url>
<url><loc>https://scifaro.com/en/abs/safe-policy-search-for-lifelong-reinforcement-learning-with-sublinear-regret-1505.05798</loc><lastmod>2015-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-policy-search-for-lifelong-reinforcement-learning-with-sublinear-regret-1505.05798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-policy-search-for-lifelong-reinforcement-learning-with-sublinear-regret-1505.05798"/></url>
<url><loc>https://scifaro.com/en/abs/learning-program-embeddings-to-propagate-feedback-on-student-code-1505.05969</loc><lastmod>2015-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-program-embeddings-to-propagate-feedback-on-student-code-1505.05969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-program-embeddings-to-propagate-feedback-on-student-code-1505.05969"/></url>
<url><loc>https://scifaro.com/en/abs/instant-learning-parallel-deep-neural-networks-and-convolutional-bootstrapping-1505.05972</loc><lastmod>2016-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instant-learning-parallel-deep-neural-networks-and-convolutional-bootstrapping-1505.05972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instant-learning-parallel-deep-neural-networks-and-convolutional-bootstrapping-1505.05972"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-indoor-localization-using-mobile-phone-based-sensors-1505.06125</loc><lastmod>2017-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-indoor-localization-using-mobile-phone-based-sensors-1505.06125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-indoor-localization-using-mobile-phone-based-sensors-1505.06125"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-matrix-recovery-from-row-and-column-affine-measurements-1505.06292</loc><lastmod>2015-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-matrix-recovery-from-row-and-column-affine-measurements-1505.06292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-matrix-recovery-from-row-and-column-affine-measurements-1505.06292"/></url>
<url><loc>https://scifaro.com/en/abs/monotonic-calibrated-interpolated-look-up-tables-1505.06378</loc><lastmod>2016-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monotonic-calibrated-interpolated-look-up-tables-1505.06378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monotonic-calibrated-interpolated-look-up-tables-1505.06378"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-extreme-learning-machines-for-drift-compensation-in-e-nose-systems-1505.06405</loc><lastmod>2015-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-extreme-learning-machines-for-drift-compensation-in-e-nose-systems-1505.06405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-extreme-learning-machines-for-drift-compensation-in-e-nose-systems-1505.06405"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-elastic-net-regularization-for-sparse-linear-models-1505.06449</loc><lastmod>2015-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-elastic-net-regularization-for-sparse-linear-models-1505.06449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-elastic-net-regularization-for-sparse-linear-models-1505.06449"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-distributed-online-learning-1505.06556</loc><lastmod>2015-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-distributed-online-learning-1505.06556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-distributed-online-learning-1505.06556"/></url>
<url><loc>https://scifaro.com/en/abs/sketching-for-sequential-change-point-detection-1505.06770</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sketching-for-sequential-change-point-detection-1505.06770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sketching-for-sequential-change-point-detection-1505.06770"/></url>
<url><loc>https://scifaro.com/en/abs/mllib-machine-learning-in-apache-spark-1505.06807</loc><lastmod>2015-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mllib-machine-learning-in-apache-spark-1505.06807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mllib-machine-learning-in-apache-spark-1505.06807"/></url>
<url><loc>https://scifaro.com/en/abs/times-series-averaging-from-a-probabilistic-interpretation-of-time-elastic-kernel-1505.06897</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/times-series-averaging-from-a-probabilistic-interpretation-of-time-elastic-kernel-1505.06897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/times-series-averaging-from-a-probabilistic-interpretation-of-time-elastic-kernel-1505.06897"/></url>
<url><loc>https://scifaro.com/en/abs/using-dimension-reduction-to-improve-the-classification-of-high-dimensional-data-1505.06907</loc><lastmod>2015-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-dimension-reduction-to-improve-the-classification-of-high-dimensional-data-1505.06907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-dimension-reduction-to-improve-the-classification-of-high-dimensional-data-1505.06907"/></url>
<url><loc>https://scifaro.com/en/abs/fantasy-football-prediction-1505.06918</loc><lastmod>2015-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fantasy-football-prediction-1505.06918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fantasy-football-prediction-1505.06918"/></url>
<url><loc>https://scifaro.com/en/abs/some-open-problems-in-optimal-adaboost-and-decision-stumps-1505.06999</loc><lastmod>2015-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-open-problems-in-optimal-adaboost-and-decision-stumps-1505.06999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-open-problems-in-optimal-adaboost-and-decision-stumps-1505.06999"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-symmetric-label-noise-the-importance-of-being-unhinged-1505.07634</loc><lastmod>2015-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-symmetric-label-noise-the-importance-of-being-unhinged-1505.07634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-symmetric-label-noise-the-importance-of-being-unhinged-1505.07634"/></url>
<url><loc>https://scifaro.com/en/abs/curl-co-trained-unsupervised-representation-learning-for-image-classification-1505.08098</loc><lastmod>2015-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curl-co-trained-unsupervised-representation-learning-for-image-classification-1505.08098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curl-co-trained-unsupervised-representation-learning-for-image-classification-1505.08098"/></url>
<url><loc>https://scifaro.com/en/abs/a-critical-review-of-recurrent-neural-networks-for-sequence-learning-1506.00019</loc><lastmod>2015-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-critical-review-of-recurrent-neural-networks-for-sequence-learning-1506.00019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-critical-review-of-recurrent-neural-networks-for-sequence-learning-1506.00019"/></url>
<url><loc>https://scifaro.com/en/abs/labeled-compression-schemes-for-extremal-classes-1506.00165</loc><lastmod>2016-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/labeled-compression-schemes-for-extremal-classes-1506.00165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/labeled-compression-schemes-for-extremal-classes-1506.00165"/></url>
<url><loc>https://scifaro.com/en/abs/copeland-dueling-bandits-1506.00312</loc><lastmod>2015-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copeland-dueling-bandits-1506.00312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copeland-dueling-bandits-1506.00312"/></url>
<url><loc>https://scifaro.com/en/abs/imaging-time-series-to-improve-classification-and-imputation-1506.00327</loc><lastmod>2015-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imaging-time-series-to-improve-classification-and-imputation-1506.00327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imaging-time-series-to-improve-classification-and-imputation-1506.00327"/></url>
<url><loc>https://scifaro.com/en/abs/network-topology-identification-using-pca-and-its-graph-theoretic-interpretations-1506.00438</loc><lastmod>2016-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-topology-identification-using-pca-and-its-graph-theoretic-interpretations-1506.00438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-topology-identification-using-pca-and-its-graph-theoretic-interpretations-1506.00438"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-deep-zero-shot-convolutional-neural-networks-using-textual-descriptions-1506.00511</loc><lastmod>2015-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-deep-zero-shot-convolutional-neural-networks-using-textual-descriptions-1506.00511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-deep-zero-shot-convolutional-neural-networks-using-textual-descriptions-1506.00511"/></url>
<url><loc>https://scifaro.com/en/abs/blocks-and-fuel-frameworks-for-deep-learning-1506.00619</loc><lastmod>2015-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blocks-and-fuel-frameworks-for-deep-learning-1506.00619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blocks-and-fuel-frameworks-for-deep-learning-1506.00619"/></url>
<url><loc>https://scifaro.com/en/abs/peer-grading-in-a-course-on-algorithms-and-data-structures-machine-learning-algorithms-do-not-improve-over-simple-baselines-1506.00852</loc><lastmod>2016-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/peer-grading-in-a-course-on-algorithms-and-data-structures-machine-learning-algorithms-do-not-improve-over-simple-baselines-1506.00852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/peer-grading-in-a-course-on-algorithms-and-data-structures-machine-learning-algorithms-do-not-improve-over-simple-baselines-1506.00852"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-valuable-items-from-massive-data-1506.00935</loc><lastmod>2015-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-valuable-items-from-massive-data-1506.00935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-valuable-items-from-massive-data-1506.00935"/></url>
<url><loc>https://scifaro.com/en/abs/toward-a-generic-representation-of-random-variables-for-machine-learning-1506.00976</loc><lastmod>2015-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-a-generic-representation-of-random-variables-for-machine-learning-1506.00976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-a-generic-representation-of-random-variables-for-machine-learning-1506.00976"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-on-neural-network-outputs-with-application-in-zero-shot-learning-1506.00990</loc><lastmod>2016-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-on-neural-network-outputs-with-application-in-zero-shot-learning-1506.00990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-on-neural-network-outputs-with-application-in-zero-shot-learning-1506.00990"/></url>
<url><loc>https://scifaro.com/en/abs/global-and-local-structure-preserving-sparse-subspace-learning-an-iterative-approach-to-unsupervised-feature-selection-1506.01060</loc><lastmod>2015-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-and-local-structure-preserving-sparse-subspace-learning-an-iterative-approach-to-unsupervised-feature-selection-1506.01060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-and-local-structure-preserving-sparse-subspace-learning-an-iterative-approach-to-unsupervised-feature-selection-1506.01060"/></url>
<url><loc>https://scifaro.com/en/abs/on-bicluster-aggregation-and-its-benefits-for-enumerative-solutions-1506.01077</loc><lastmod>2015-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-bicluster-aggregation-and-its-benefits-for-enumerative-solutions-1506.01077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-bicluster-aggregation-and-its-benefits-for-enumerative-solutions-1506.01077"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-factorization-machines-1506.01110</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-factorization-machines-1506.01110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-factorization-machines-1506.01110"/></url>
<url><loc>https://scifaro.com/en/abs/towards-structured-deep-neural-network-for-automatic-speech-recognition-1506.01163</loc><lastmod>2015-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-structured-deep-neural-network-for-automatic-speech-recognition-1506.01163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-structured-deep-neural-network-for-automatic-speech-recognition-1506.01163"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-feature-analysis-with-class-margin-optimization-1506.01330</loc><lastmod>2015-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-feature-analysis-with-class-margin-optimization-1506.01330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-feature-analysis-with-class-margin-optimization-1506.01330"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-an-oracle-that-reports-auc-scores-in-machine-learning-contests-1506.01339</loc><lastmod>2015-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-an-oracle-that-reports-auc-scores-in-machine-learning-contests-1506.01339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-an-oracle-that-reports-auc-scores-in-machine-learning-contests-1506.01339"/></url>
<url><loc>https://scifaro.com/en/abs/semidefinite-and-spectral-relaxations-for-multi-label-classification-1506.01829</loc><lastmod>2015-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semidefinite-and-spectral-relaxations-for-multi-label-classification-1506.01829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semidefinite-and-spectral-relaxations-for-multi-label-classification-1506.01829"/></url>
<url><loc>https://scifaro.com/en/abs/communication-complexity-of-distributed-convex-learning-and-optimization-1506.01900</loc><lastmod>2015-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-complexity-of-distributed-convex-learning-and-optimization-1506.01900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-complexity-of-distributed-convex-learning-and-optimization-1506.01900"/></url>
<url><loc>https://scifaro.com/en/abs/improved-svrg-for-non-strongly-convex-or-sum-of-non-convex-objectives-1506.01972</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-svrg-for-non-strongly-convex-or-sum-of-non-convex-objectives-1506.01972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-svrg-for-non-strongly-convex-or-sum-of-non-convex-objectives-1506.01972"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-simple-question-answering-with-memory-networks-1506.02075</loc><lastmod>2015-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-simple-question-answering-with-memory-networks-1506.02075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-simple-question-answering-with-memory-networks-1506.02075"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-and-understanding-recurrent-networks-1506.02078</loc><lastmod>2015-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-and-understanding-recurrent-networks-1506.02078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-and-understanding-recurrent-networks-1506.02078"/></url>
<url><loc>https://scifaro.com/en/abs/local-nonstationarity-for-efficient-bayesian-optimization-1506.02080</loc><lastmod>2015-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-nonstationarity-for-efficient-bayesian-optimization-1506.02080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-nonstationarity-for-efficient-bayesian-optimization-1506.02080"/></url>
<url><loc>https://scifaro.com/en/abs/selective-greedy-equivalence-search-finding-optimal-bayesian-networks-using-a-polynomial-number-of-score-evaluations-1506.02113</loc><lastmod>2015-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-greedy-equivalence-search-finding-optimal-bayesian-networks-using-a-polynomial-number-of-score-evaluations-1506.02113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-greedy-equivalence-search-finding-optimal-bayesian-networks-using-a-polynomial-number-of-score-evaluations-1506.02113"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multiple-tasks-with-multilinear-relationship-networks-1506.02117</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multiple-tasks-with-multilinear-relationship-networks-1506.02117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multiple-tasks-with-multilinear-relationship-networks-1506.02117"/></url>
<url><loc>https://scifaro.com/en/abs/a-recurrent-latent-variable-model-for-sequential-data-1506.02216</loc><lastmod>2016-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-recurrent-latent-variable-model-for-sequential-data-1506.02216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-recurrent-latent-variable-model-for-sequential-data-1506.02216"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-transfer-pre-training-1506.02256</loc><lastmod>2015-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-transfer-pre-training-1506.02256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-transfer-pre-training-1506.02256"/></url>
<url><loc>https://scifaro.com/en/abs/visual-learning-of-arithmetic-operations-1506.02264</loc><lastmod>2017-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-learning-of-arithmetic-operations-1506.02264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-learning-of-arithmetic-operations-1506.02264"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rates-of-active-learning-for-maximum-likelihood-estimation-1506.02348</loc><lastmod>2015-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rates-of-active-learning-for-maximum-likelihood-estimation-1506.02348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rates-of-active-learning-for-maximum-likelihood-estimation-1506.02348"/></url>
<url><loc>https://scifaro.com/en/abs/robust-regression-via-hard-thresholding-1506.02428</loc><lastmod>2015-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-regression-via-hard-thresholding-1506.02428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-regression-via-hard-thresholding-1506.02428"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-continuous-control-using-generalized-advantage-estimation-1506.02438</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-continuous-control-using-generalized-advantage-estimation-1506.02438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-continuous-control-using-generalized-advantage-estimation-1506.02438"/></url>
<url><loc>https://scifaro.com/en/abs/svm-and-elm-who-wins-object-recognition-with-deep-convolutional-features-from-imagenet-1506.02509</loc><lastmod>2015-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/svm-and-elm-who-wins-object-recognition-with-deep-convolutional-features-from-imagenet-1506.02509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/svm-and-elm-who-wins-object-recognition-with-deep-convolutional-features-from-imagenet-1506.02509"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixtures-of-ising-models-using-pseudolikelihood-1506.02510</loc><lastmod>2015-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixtures-of-ising-models-using-pseudolikelihood-1506.02510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixtures-of-ising-models-using-pseudolikelihood-1506.02510"/></url>
<url><loc>https://scifaro.com/en/abs/linear-convergence-of-the-randomized-feasible-descent-method-under-the-weak-strong-convexity-assumption-1506.02530</loc><lastmod>2015-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-convergence-of-the-randomized-feasible-descent-method-under-the-weak-strong-convexity-assumption-1506.02530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-convergence-of-the-randomized-feasible-descent-method-under-the-weak-strong-convexity-assumption-1506.02530"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-of-ensembles-with-quadboost-1506.02535</loc><lastmod>2015-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-of-ensembles-with-quadboost-1506.02535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-of-ensembles-with-quadboost-1506.02535"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-group-invariant-features-a-kernel-perspective-1506.02544</loc><lastmod>2015-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-group-invariant-features-a-kernel-perspective-1506.02544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-group-invariant-features-a-kernel-perspective-1506.02544"/></url>
<url><loc>https://scifaro.com/en/abs/on-convergence-of-emphatic-temporal-difference-learning-1506.02582</loc><lastmod>2017-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-convergence-of-emphatic-temporal-difference-learning-1506.02582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-convergence-of-emphatic-temporal-difference-learning-1506.02582"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-sparse-kernel-learning-for-hyperspectral-anomaly-detection-1506.02585</loc><lastmod>2015-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-sparse-kernel-learning-for-hyperspectral-anomaly-detection-1506.02585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-sparse-kernel-learning-for-hyperspectral-anomaly-detection-1506.02585"/></url>
<url><loc>https://scifaro.com/en/abs/path-sgd-path-normalized-optimization-in-deep-neural-networks-1506.02617</loc><lastmod>2015-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/path-sgd-path-normalized-optimization-in-deep-neural-networks-1506.02617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/path-sgd-path-normalized-optimization-in-deep-neural-networks-1506.02617"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-in-adaptive-data-analysis-and-holdout-reuse-1506.02629</loc><lastmod>2015-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-in-adaptive-data-analysis-and-holdout-reuse-1506.02629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-in-adaptive-data-analysis-and-holdout-reuse-1506.02629"/></url>
<url><loc>https://scifaro.com/en/abs/cumulative-prospect-theory-meets-reinforcement-learning-prediction-and-control-1506.02632</loc><lastmod>2016-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cumulative-prospect-theory-meets-reinforcement-learning-prediction-and-control-1506.02632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cumulative-prospect-theory-meets-reinforcement-learning-prediction-and-control-1506.02632"/></url>
<url><loc>https://scifaro.com/en/abs/a-topological-approach-to-spectral-clustering-1506.02633</loc><lastmod>2022-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-topological-approach-to-spectral-clustering-1506.02633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-topological-approach-to-spectral-clustering-1506.02633"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-normalized-risk-averting-training-for-deep-neural-networks-1506.02690</loc><lastmod>2016-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-normalized-risk-averting-training-for-deep-neural-networks-1506.02690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-normalized-risk-averting-training-for-deep-neural-networks-1506.02690"/></url>
<url><loc>https://scifaro.com/en/abs/non-parametric-revenue-optimization-for-generalized-second-price-auctions-1506.02719</loc><lastmod>2015-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-parametric-revenue-optimization-for-generalized-second-price-auctions-1506.02719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-parametric-revenue-optimization-for-generalized-second-price-auctions-1506.02719"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-studies-on-symbolic-aggregation-approximation-under-statistical-perspectives-for-knowledge-discovery-in-time-series-1506.02732</loc><lastmod>2015-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-studies-on-symbolic-aggregation-approximation-under-statistical-perspectives-for-knowledge-discovery-in-time-series-1506.02732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-studies-on-symbolic-aggregation-approximation-under-statistical-perspectives-for-knowledge-discovery-in-time-series-1506.02732"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-error-of-random-fourier-features-1506.02785</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-error-of-random-fourier-features-1506.02785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-error-of-random-fourier-features-1506.02785"/></url>
<url><loc>https://scifaro.com/en/abs/mixing-time-estimation-in-reversible-markov-chains-from-a-single-sample-path-1506.02903</loc><lastmod>2015-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixing-time-estimation-in-reversible-markov-chains-from-a-single-sample-path-1506.02903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixing-time-estimation-in-reversible-markov-chains-from-a-single-sample-path-1506.02903"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-interpretability-of-conditional-probability-estimates-in-the-agnostic-setting-1506.03018</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-interpretability-of-conditional-probability-estimates-in-the-agnostic-setting-1506.03018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-interpretability-of-conditional-probability-estimates-in-the-agnostic-setting-1506.03018"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-by-transitive-propagation-1506.03072</loc><lastmod>2015-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-by-transitive-propagation-1506.03072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-by-transitive-propagation-1506.03072"/></url>
<url><loc>https://scifaro.com/en/abs/scheduled-sampling-for-sequence-prediction-with-recurrent-neural-networks-1506.03099</loc><lastmod>2015-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scheduled-sampling-for-sequence-prediction-with-recurrent-neural-networks-1506.03099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scheduled-sampling-for-sequence-prediction-with-recurrent-neural-networks-1506.03099"/></url>
<url><loc>https://scifaro.com/en/abs/provable-bayesian-inference-via-particle-mirror-descent-1506.03101</loc><lastmod>2016-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-bayesian-inference-via-particle-mirror-descent-1506.03101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-bayesian-inference-via-particle-mirror-descent-1506.03101"/></url>
<url><loc>https://scifaro.com/en/abs/permutation-search-methods-are-efficient-yet-faster-search-is-possible-1506.03163</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/permutation-search-methods-are-efficient-yet-faster-search-is-possible-1506.03163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/permutation-search-methods-are-efficient-yet-faster-search-is-possible-1506.03163"/></url>
<url><loc>https://scifaro.com/en/abs/explore-no-more-improved-high-probability-regret-bounds-for-non-stochastic-bandits-1506.03271</loc><lastmod>2015-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explore-no-more-improved-high-probability-regret-bounds-for-non-stochastic-bandits-1506.03271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explore-no-more-improved-high-probability-regret-bounds-for-non-stochastic-bandits-1506.03271"/></url>
<url><loc>https://scifaro.com/en/abs/neural-adaptive-sequential-monte-carlo-1506.03338</loc><lastmod>2015-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-adaptive-sequential-monte-carlo-1506.03338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-adaptive-sequential-monte-carlo-1506.03338"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-algorithm-for-contextual-bandits-with-knapsacks-and-an-extension-to-concave-objectives-1506.03374</loc><lastmod>2016-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-algorithm-for-contextual-bandits-with-knapsacks-and-an-extension-to-concave-objectives-1506.03374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-algorithm-for-contextual-bandits-with-knapsacks-and-an-extension-to-concave-objectives-1506.03374"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-prior-sensitivity-of-thompson-sampling-1506.03378</loc><lastmod>2016-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-prior-sensitivity-of-thompson-sampling-1506.03378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-prior-sensitivity-of-thompson-sampling-1506.03378"/></url>
<url><loc>https://scifaro.com/en/abs/the-online-coupon-collector-problem-and-its-application-to-lifelong-reinforcement-learning-1506.03379</loc><lastmod>2015-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-online-coupon-collector-problem-and-its-application-to-lifelong-reinforcement-learning-1506.03379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-online-coupon-collector-problem-and-its-application-to-lifelong-reinforcement-learning-1506.03379"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rates-for-pretraining-and-dropout-guiding-learning-parameters-using-network-structure-1506.03412</loc><lastmod>2017-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rates-for-pretraining-and-dropout-guiding-learning-parameters-using-network-structure-1506.03412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rates-for-pretraining-and-dropout-guiding-learning-parameters-using-network-structure-1506.03412"/></url>
<url><loc>https://scifaro.com/en/abs/data-generation-as-sequential-decision-making-1506.03504</loc><lastmod>2015-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-generation-as-sequential-decision-making-1506.03504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-generation-as-sequential-decision-making-1506.03504"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-dictionary-learning-through-tensor-factorization-1506.03509</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-dictionary-learning-through-tensor-factorization-1506.03509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-dictionary-learning-through-tensor-factorization-1506.03509"/></url>
<url><loc>https://scifaro.com/en/abs/max-entropy-feed-forward-clustering-neural-network-1506.03623</loc><lastmod>2015-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-entropy-feed-forward-clustering-neural-network-1506.03623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-entropy-feed-forward-clustering-neural-network-1506.03623"/></url>
<url><loc>https://scifaro.com/en/abs/margin-based-feed-forward-neural-network-classifiers-1506.03626</loc><lastmod>2015-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/margin-based-feed-forward-neural-network-classifiers-1506.03626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/margin-based-feed-forward-neural-network-classifiers-1506.03626"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduced-stochastic-gradient-descent-with-neighbors-1506.03662</loc><lastmod>2016-02-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduced-stochastic-gradient-descent-with-neighbors-1506.03662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduced-stochastic-gradient-descent-with-neighbors-1506.03662"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-monte-carlo-efficient-and-embarrassingly-parallel-likelihood-free-inference-1506.03693</loc><lastmod>2015-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-monte-carlo-efficient-and-embarrassingly-parallel-likelihood-free-inference-1506.03693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-monte-carlo-efficient-and-embarrassingly-parallel-likelihood-free-inference-1506.03693"/></url>
<url><loc>https://scifaro.com/en/abs/random-maxout-features-1506.03705</loc><lastmod>2015-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-maxout-features-1506.03705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-maxout-features-1506.03705"/></url>
<url><loc>https://scifaro.com/en/abs/bidirectional-helmholtz-machines-1506.03877</loc><lastmod>2016-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bidirectional-helmholtz-machines-1506.03877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bidirectional-helmholtz-machines-1506.03877"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-gamma-and-c-for-epsilon-support-vector-regression-with-rbf-kernels-1506.03942</loc><lastmod>2015-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-gamma-and-c-for-epsilon-support-vector-regression-with-rbf-kernels-1506.03942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-gamma-and-c-for-epsilon-support-vector-regression-with-rbf-kernels-1506.03942"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-equivalence-of-cocoa-and-disdca-1506.04217</loc><lastmod>2015-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-equivalence-of-cocoa-and-disdca-1506.04217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-equivalence-of-cocoa-and-disdca-1506.04217"/></url>
<url><loc>https://scifaro.com/en/abs/multi-class-svms-from-tighter-data-dependent-generalization-bounds-to-novel-algorithms-1506.04359</loc><lastmod>2015-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-class-svms-from-tighter-data-dependent-generalization-bounds-to-novel-algorithms-1506.04359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-class-svms-from-tighter-data-dependent-generalization-bounds-to-novel-algorithms-1506.04359"/></url>
<url><loc>https://scifaro.com/en/abs/localized-multiple-kernel-learning-a-convex-approach-1506.04364</loc><lastmod>2016-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/localized-multiple-kernel-learning-a-convex-approach-1506.04364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/localized-multiple-kernel-learning-a-convex-approach-1506.04364"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-dark-knowledge-1506.04416</loc><lastmod>2015-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-dark-knowledge-1506.04416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-dark-knowledge-1506.04416"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-incremental-gaussian-mixture-model-1506.04422</loc><lastmod>2017-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-incremental-gaussian-mixture-model-1506.04422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-incremental-gaussian-mixture-model-1506.04422"/></url>
<url><loc>https://scifaro.com/en/abs/compressing-convolutional-neural-networks-1506.04449</loc><lastmod>2015-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressing-convolutional-neural-networks-1506.04449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressing-convolutional-neural-networks-1506.04449"/></url>
<url><loc>https://scifaro.com/en/abs/dual-memory-architectures-for-fast-deep-learning-of-stream-data-via-an-online-incremental-transfer-strategy-1506.04477</loc><lastmod>2015-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-memory-architectures-for-fast-deep-learning-of-stream-data-via-an-online-incremental-transfer-strategy-1506.04477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-memory-architectures-for-fast-deep-learning-of-stream-data-via-an-online-incremental-transfer-strategy-1506.04477"/></url>
<url><loc>https://scifaro.com/en/abs/convex-risk-minimization-and-conditional-probability-estimation-1506.04513</loc><lastmod>2015-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-risk-minimization-and-conditional-probability-estimation-1506.04513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-risk-minimization-and-conditional-probability-estimation-1506.04513"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-generative-models-with-doubly-stochastic-mcmc-1506.04557</loc><lastmod>2016-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-generative-models-with-doubly-stochastic-mcmc-1506.04557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-generative-models-with-doubly-stochastic-mcmc-1506.04557"/></url>
<url><loc>https://scifaro.com/en/abs/latent-regression-bayesian-network-for-data-representation-1506.04720</loc><lastmod>2015-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-regression-bayesian-network-for-data-representation-1506.04720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-regression-bayesian-network-for-data-representation-1506.04720"/></url>
<url><loc>https://scifaro.com/en/abs/cheap-bandits-1506.04782</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cheap-bandits-1506.04782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cheap-bandits-1506.04782"/></url>
<url><loc>https://scifaro.com/en/abs/online-gradient-boosting-1506.04820</loc><lastmod>2015-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-gradient-boosting-1506.04820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-gradient-boosting-1506.04820"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-sparsification-and-regret-minimization-beyond-matrix-multiplicative-updates-1506.04838</loc><lastmod>2015-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-sparsification-and-regret-minimization-beyond-matrix-multiplicative-updates-1506.04838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-sparsification-and-regret-minimization-beyond-matrix-multiplicative-updates-1506.04838"/></url>
<url><loc>https://scifaro.com/en/abs/pca-with-gaussian-perturbations-1506.04855</loc><lastmod>2015-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pca-with-gaussian-perturbations-1506.04855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pca-with-gaussian-perturbations-1506.04855"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-clustering-structure-1506.04908</loc><lastmod>2016-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-clustering-structure-1506.04908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-clustering-structure-1506.04908"/></url>
<url><loc>https://scifaro.com/en/abs/numeric-input-relations-for-relational-learning-with-applications-to-community-structure-analysis-1506.05055</loc><lastmod>2015-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/numeric-input-relations-for-relational-learning-with-applications-to-community-structure-analysis-1506.05055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/numeric-input-relations-for-relational-learning-with-applications-to-community-structure-analysis-1506.05055"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-classification-using-the-hidden-unit-logistic-model-1506.05085</loc><lastmod>2016-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-classification-using-the-hidden-unit-logistic-model-1506.05085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-classification-using-the-hidden-unit-logistic-model-1506.05085"/></url>
<url><loc>https://scifaro.com/en/abs/deep-convolutional-networks-on-graph-structured-data-1506.05163</loc><lastmod>2015-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-convolutional-networks-on-graph-structured-data-1506.05163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-convolutional-networks-on-graph-structured-data-1506.05163"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-depth-of-deep-neural-networks-a-theoretical-view-1506.05232</loc><lastmod>2015-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-depth-of-deep-neural-networks-a-theoretical-view-1506.05232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-depth-of-deep-neural-networks-a-theoretical-view-1506.05232"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-estimation-using-stochastic-computation-graphs-1506.05254</loc><lastmod>2016-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-estimation-using-stochastic-computation-graphs-1506.05254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-estimation-using-stochastic-computation-graphs-1506.05254"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-a-wasserstein-loss-1506.05439</loc><lastmod>2015-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-a-wasserstein-loss-1506.05439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-a-wasserstein-loss-1506.05439"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-semi-supervised-aggregation-of-classifiers-1506.05790</loc><lastmod>2015-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-semi-supervised-aggregation-of-classifiers-1506.05790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-semi-supervised-aggregation-of-classifiers-1506.05790"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-analysis-of-symmetric-and-anti-symmetric-pairwise-kernels-1506.05950</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-analysis-of-symmetric-and-anti-symmetric-pairwise-kernels-1506.05950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-analysis-of-symmetric-and-anti-symmetric-pairwise-kernels-1506.05950"/></url>
<url><loc>https://scifaro.com/en/abs/enhanced-lasso-recovery-on-graph-1506.05985</loc><lastmod>2015-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhanced-lasso-recovery-on-graph-1506.05985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhanced-lasso-recovery-on-graph-1506.05985"/></url>
<url><loc>https://scifaro.com/en/abs/the-extreme-value-machine-1506.06112</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-extreme-value-machine-1506.06112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-extreme-value-machine-1506.06112"/></url>
<url><loc>https://scifaro.com/en/abs/co2-forest-improved-random-forest-by-continuous-optimization-of-oblique-splits-1506.06155</loc><lastmod>2015-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co2-forest-improved-random-forest-by-continuous-optimization-of-oblique-splits-1506.06155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co2-forest-improved-random-forest-by-continuous-optimization-of-oblique-splits-1506.06155"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-distributed-agnostic-boosting-1506.06318</loc><lastmod>2016-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-distributed-agnostic-boosting-1506.06318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-distributed-agnostic-boosting-1506.06318"/></url>
<url><loc>https://scifaro.com/en/abs/taming-the-wild-a-unified-analysis-of-hogwild-style-algorithms-1506.06438</loc><lastmod>2015-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taming-the-wild-a-unified-analysis-of-hogwild-style-algorithms-1506.06438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taming-the-wild-a-unified-analysis-of-hogwild-style-algorithms-1506.06438"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-of-local-learning-the-learning-channel-and-the-optimality-of-backpropagation-1506.06472</loc><lastmod>2016-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-of-local-learning-the-learning-channel-and-the-optimality-of-backpropagation-1506.06472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-of-local-learning-the-learning-channel-and-the-optimality-of-backpropagation-1506.06472"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayes-iterated-logarithm-bounds-for-martingale-mixtures-1506.06573</loc><lastmod>2015-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayes-iterated-logarithm-bounds-for-martingale-mixtures-1506.06573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayes-iterated-logarithm-bounds-for-martingale-mixtures-1506.06573"/></url>
<url><loc>https://scifaro.com/en/abs/on-variance-reduction-in-stochastic-gradient-descent-and-its-asynchronous-variants-1506.06840</loc><lastmod>2016-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-variance-reduction-in-stochastic-gradient-descent-and-its-asynchronous-variants-1506.06840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-variance-reduction-in-stochastic-gradient-descent-and-its-asynchronous-variants-1506.06840"/></url>
<url><loc>https://scifaro.com/en/abs/strategic-classification-1506.06980</loc><lastmod>2015-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strategic-classification-1506.06980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strategic-classification-1506.06980"/></url>
<url><loc>https://scifaro.com/en/abs/elicitation-complexity-of-statistical-properties-1506.07212</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elicitation-complexity-of-statistical-properties-1506.07212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elicitation-complexity-of-statistical-properties-1506.07212"/></url>
<url><loc>https://scifaro.com/en/abs/communication-lower-bounds-for-statistical-estimation-problems-via-a-distributed-data-processing-inequality-1506.07216</loc><lastmod>2016-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-lower-bounds-for-statistical-estimation-problems-via-a-distributed-data-processing-inequality-1506.07216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-lower-bounds-for-statistical-estimation-problems-via-a-distributed-data-processing-inequality-1506.07216"/></url>
<url><loc>https://scifaro.com/en/abs/unconfused-ultraconservative-multiclass-algorithms-1506.07254</loc><lastmod>2015-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unconfused-ultraconservative-multiclass-algorithms-1506.07254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unconfused-ultraconservative-multiclass-algorithms-1506.07254"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-multi-layer-sparse-approximations-of-matrices-and-applications-1506.07300</loc><lastmod>2016-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-multi-layer-sparse-approximations-of-matrices-and-applications-1506.07300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-multi-layer-sparse-approximations-of-matrices-and-applications-1506.07300"/></url>
<url><loc>https://scifaro.com/en/abs/embed-to-control-a-locally-linear-latent-dynamics-model-for-control-from-raw-images-1506.07365</loc><lastmod>2015-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embed-to-control-a-locally-linear-latent-dynamics-model-for-control-from-raw-images-1506.07365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embed-to-control-a-locally-linear-latent-dynamics-model-for-control-from-raw-images-1506.07365"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-for-undirected-topic-models-1506.07477</loc><lastmod>2015-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-for-undirected-topic-models-1506.07477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-for-undirected-topic-models-1506.07477"/></url>
<url><loc>https://scifaro.com/en/abs/splash-user-friendly-programming-interface-for-parallelizing-stochastic-algorithms-1506.07552</loc><lastmod>2015-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/splash-user-friendly-programming-interface-for-parallelizing-stochastic-algorithms-1506.07552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/splash-user-friendly-programming-interface-for-parallelizing-stochastic-algorithms-1506.07552"/></url>
<url><loc>https://scifaro.com/en/abs/craft-cluster-specific-assorted-feature-selection-1506.07609</loc><lastmod>2015-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/craft-cluster-specific-assorted-feature-selection-1506.07609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/craft-cluster-specific-assorted-feature-selection-1506.07609"/></url>
<url><loc>https://scifaro.com/en/abs/conservativeness-of-untied-auto-encoders-1506.07643</loc><lastmod>2015-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conservativeness-of-untied-auto-encoders-1506.07643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conservativeness-of-untied-auto-encoders-1506.07643"/></url>
<url><loc>https://scifaro.com/en/abs/collaboratively-learning-preferences-from-ordinal-data-1506.07947</loc><lastmod>2015-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaboratively-learning-preferences-from-ordinal-data-1506.07947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaboratively-learning-preferences-from-ordinal-data-1506.07947"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-of-directional-data-using-kent-distributions-1506.08105</loc><lastmod>2015-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-of-directional-data-using-kent-distributions-1506.08105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-of-directional-data-using-kent-distributions-1506.08105"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-networks-and-learning-invariant-to-homogeneous-multiplicative-scalings-1506.08230</loc><lastmod>2017-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-networks-and-learning-invariant-to-homogeneous-multiplicative-scalings-1506.08230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-networks-and-learning-invariant-to-homogeneous-multiplicative-scalings-1506.08230"/></url>
<url><loc>https://scifaro.com/en/abs/occam-s-gates-1506.08251</loc><lastmod>2015-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/occam-s-gates-1506.08251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/occam-s-gates-1506.08251"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-made-stable-a-manifold-propagation-approach-for-large-scale-optimization-1506.08350</loc><lastmod>2016-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-made-stable-a-manifold-propagation-approach-for-large-scale-optimization-1506.08350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-made-stable-a-manifold-propagation-approach-for-large-scale-optimization-1506.08350"/></url>
<url><loc>https://scifaro.com/en/abs/beating-the-perils-of-non-convexity-guaranteed-training-of-neural-networks-using-tensor-methods-1506.08473</loc><lastmod>2016-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beating-the-perils-of-non-convexity-guaranteed-training-of-neural-networks-using-tensor-methods-1506.08473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beating-the-perils-of-non-convexity-guaranteed-training-of-neural-networks-using-tensor-methods-1506.08473"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-and-parsimonious-agnostic-active-learning-1506.08669</loc><lastmod>2016-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-and-parsimonious-agnostic-active-learning-1506.08669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-and-parsimonious-agnostic-active-learning-1506.08669"/></url>
<url><loc>https://scifaro.com/en/abs/s2-an-efficient-graph-based-active-learning-algorithm-with-application-to-nonparametric-classification-1506.08760</loc><lastmod>2015-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/s2-an-efficient-graph-based-active-learning-algorithm-with-application-to-nonparametric-classification-1506.08760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/s2-an-efficient-graph-based-active-learning-algorithm-with-application-to-nonparametric-classification-1506.08760"/></url>
<url><loc>https://scifaro.com/en/abs/fast-admm-algorithm-for-distributed-optimization-with-adaptive-penalty-1506.08928</loc><lastmod>2016-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-admm-algorithm-for-distributed-optimization-with-adaptive-penalty-1506.08928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-admm-algorithm-for-distributed-optimization-with-adaptive-penalty-1506.08928"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-to-sample-1506.09016</loc><lastmod>2016-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-to-sample-1506.09016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-to-sample-1506.09016"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-gradient-descent-schemes-for-general-sum-stochastic-games-1507.00093</loc><lastmod>2015-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-gradient-descent-schemes-for-general-sum-stochastic-games-1507.00093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-gradient-descent-schemes-for-general-sum-stochastic-games-1507.00093"/></url>
<url><loc>https://scifaro.com/en/abs/dc-proximal-newton-for-non-convex-optimization-problems-1507.00438</loc><lastmod>2015-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dc-proximal-newton-for-non-convex-optimization-problems-1507.00438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dc-proximal-newton-for-non-convex-optimization-problems-1507.00438"/></url>
<url><loc>https://scifaro.com/en/abs/the-optimal-sample-complexity-of-pac-learning-1507.00473</loc><lastmod>2016-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-optimal-sample-complexity-of-pac-learning-1507.00473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-optimal-sample-complexity-of-pac-learning-1507.00473"/></url>
<url><loc>https://scifaro.com/en/abs/non-convex-regularizations-for-feature-selection-in-ranking-with-sparse-svm-1507.00500</loc><lastmod>2015-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-convex-regularizations-for-feature-selection-in-ranking-with-sparse-svm-1507.00500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-convex-regularizations-for-feature-selection-in-ranking-with-sparse-svm-1507.00500"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-transport-for-domain-adaptation-1507.00504</loc><lastmod>2016-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-transport-for-domain-adaptation-1507.00504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-transport-for-domain-adaptation-1507.00504"/></url>
<url><loc>https://scifaro.com/en/abs/sql-for-srl-structure-learning-inside-a-database-system-1507.00646</loc><lastmod>2015-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sql-for-srl-structure-learning-inside-a-database-system-1507.00646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sql-for-srl-structure-learning-inside-a-database-system-1507.00646"/></url>
<url><loc>https://scifaro.com/en/abs/fast-provable-algorithms-for-isotonic-regression-in-all-ell-p-norms-1507.00710</loc><lastmod>2015-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-provable-algorithms-for-isotonic-regression-in-all-ell-p-norms-1507.00710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-provable-algorithms-for-isotonic-regression-in-all-ell-p-norms-1507.00710"/></url>
<url><loc>https://scifaro.com/en/abs/d-mfvi-distributed-mean-field-variational-inference-using-bregman-admm-1507.00824</loc><lastmod>2015-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/d-mfvi-distributed-mean-field-variational-inference-using-bregman-admm-1507.00824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/d-mfvi-distributed-mean-field-variational-inference-using-bregman-admm-1507.00824"/></url>
<url><loc>https://scifaro.com/en/abs/ridge-regression-hubness-and-zero-shot-learning-1507.00825</loc><lastmod>2015-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ridge-regression-hubness-and-zero-shot-learning-1507.00825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ridge-regression-hubness-and-zero-shot-learning-1507.00825"/></url>
<url><loc>https://scifaro.com/en/abs/combining-models-of-approximation-with-partial-learning-1507.01215</loc><lastmod>2015-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-models-of-approximation-with-partial-learning-1507.01215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-models-of-approximation-with-partial-learning-1507.01215"/></url>
<url><loc>https://scifaro.com/en/abs/experiments-on-parallel-training-of-deep-neural-network-using-model-averaging-1507.01239</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/experiments-on-parallel-training-of-deep-neural-network-using-model-averaging-1507.01239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/experiments-on-parallel-training-of-deep-neural-network-using-model-averaging-1507.01239"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-neural-network-policies-with-continuous-memory-states-1507.01273</loc><lastmod>2015-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-neural-network-policies-with-continuous-memory-states-1507.01273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-neural-network-policies-with-continuous-memory-states-1507.01273"/></url>
<url><loc>https://scifaro.com/en/abs/scan-b-statistic-for-kernel-change-point-detection-1507.01279</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scan-b-statistic-for-kernel-change-point-detection-1507.01279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scan-b-statistic-for-kernel-change-point-detection-1507.01279"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-algorithm-for-maximum-margin-classification-revisited-1507.01563</loc><lastmod>2015-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-algorithm-for-maximum-margin-classification-revisited-1507.01563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-algorithm-for-maximum-margin-classification-revisited-1507.01563"/></url>
<url><loc>https://scifaro.com/en/abs/emphatic-temporal-difference-learning-1507.01569</loc><lastmod>2015-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emphatic-temporal-difference-learning-1507.01569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emphatic-temporal-difference-learning-1507.01569"/></url>
<url><loc>https://scifaro.com/en/abs/a-linear-approach-for-sparse-coding-by-a-two-layer-neural-network-1507.01892</loc><lastmod>2015-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-linear-approach-for-sparse-coding-by-a-two-layer-neural-network-1507.01892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-linear-approach-for-sparse-coding-by-a-two-layer-neural-network-1507.01892"/></url>
<url><loc>https://scifaro.com/en/abs/learning-leading-indicators-for-time-series-predictions-1507.01978</loc><lastmod>2016-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-leading-indicators-for-time-series-predictions-1507.01978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-leading-indicators-for-time-series-predictions-1507.01978"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-approach-for-online-classifier-ensemble-1507.02011</loc><lastmod>2015-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-approach-for-online-classifier-ensemble-1507.02011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-approach-for-online-classifier-ensemble-1507.02011"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-convexity-stochastic-quasi-convex-optimization-1507.02030</loc><lastmod>2015-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-convexity-stochastic-quasi-convex-optimization-1507.02030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-convexity-stochastic-quasi-convex-optimization-1507.02030"/></url>
<url><loc>https://scifaro.com/en/abs/shedding-light-on-the-asymmetric-learning-capability-of-adaboost-1507.02084</loc><lastmod>2015-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shedding-light-on-the-asymmetric-learning-capability-of-adaboost-1507.02084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shedding-light-on-the-asymmetric-learning-capability-of-adaboost-1507.02084"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-on-budget-aware-online-kernel-algorithms-for-streams-of-graphs-1507.02158</loc><lastmod>2016-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-on-budget-aware-online-kernel-algorithms-for-streams-of-graphs-1507.02158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-on-budget-aware-online-kernel-algorithms-for-streams-of-graphs-1507.02158"/></url>
<url><loc>https://scifaro.com/en/abs/extending-local-features-with-contextual-information-in-graph-kernels-1507.02186</loc><lastmod>2016-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extending-local-features-with-contextual-information-in-graph-kernels-1507.02186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extending-local-features-with-contextual-information-in-graph-kernels-1507.02186"/></url>
<url><loc>https://scifaro.com/en/abs/intersecting-faces-non-negative-matrix-factorization-with-new-guarantees-1507.02189</loc><lastmod>2015-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intersecting-faces-non-negative-matrix-factorization-with-new-guarantees-1507.02189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intersecting-faces-non-negative-matrix-factorization-with-new-guarantees-1507.02189"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-joint-sparse-signal-recovery-a-sparse-bayesian-learning-approach-1507.02387</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-joint-sparse-signal-recovery-a-sparse-bayesian-learning-approach-1507.02387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-joint-sparse-signal-recovery-a-sparse-bayesian-learning-approach-1507.02387"/></url>
<url><loc>https://scifaro.com/en/abs/fast-rates-in-statistical-and-online-learning-1507.02592</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-rates-in-statistical-and-online-learning-1507.02592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-rates-in-statistical-and-online-learning-1507.02592"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-inspired-training-for-boltzmann-machines-1507.02642</loc><lastmod>2015-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-inspired-training-for-boltzmann-machines-1507.02642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-inspired-training-for-boltzmann-machines-1507.02642"/></url>
<url><loc>https://scifaro.com/en/abs/locally-non-linear-embeddings-for-extreme-multi-label-learning-1507.02743</loc><lastmod>2015-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-non-linear-embeddings-for-extreme-multi-label-learning-1507.02743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-non-linear-embeddings-for-extreme-multi-label-learning-1507.02743"/></url>
<url><loc>https://scifaro.com/en/abs/utility-based-dueling-bandits-as-a-partial-monitoring-game-1507.02750</loc><lastmod>2024-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/utility-based-dueling-bandits-as-a-partial-monitoring-game-1507.02750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/utility-based-dueling-bandits-as-a-partial-monitoring-game-1507.02750"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-smoothing-via-random-matrix-perturbations-1507.03032</loc><lastmod>2015-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-smoothing-via-random-matrix-perturbations-1507.03032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-smoothing-via-random-matrix-perturbations-1507.03032"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-boosting-algorithm-based-on-dual-averaging-scheme-1507.03125</loc><lastmod>2015-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-boosting-algorithm-based-on-dual-averaging-scheme-1507.03125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-boosting-algorithm-based-on-dual-averaging-scheme-1507.03125"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-principal-component-analysis-via-sum-of-squares-proofs-1507.03269</loc><lastmod>2015-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-principal-component-analysis-via-sum-of-squares-proofs-1507.03269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-principal-component-analysis-via-sum-of-squares-proofs-1507.03269"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-aided-mobility-predictions-1507.03292</loc><lastmod>2016-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-aided-mobility-predictions-1507.03292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-aided-mobility-predictions-1507.03292"/></url>
<url><loc>https://scifaro.com/en/abs/quantitative-evaluation-of-performance-and-validity-indices-for-clustering-the-web-navigational-sessions-1507.03340</loc><lastmod>2015-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantitative-evaluation-of-performance-and-validity-indices-for-clustering-the-web-navigational-sessions-1507.03340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantitative-evaluation-of-performance-and-validity-indices-for-clustering-the-web-navigational-sessions-1507.03340"/></url>
<url><loc>https://scifaro.com/en/abs/ordered-decompositional-dag-kernels-enhancements-1507.03372</loc><lastmod>2016-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ordered-decompositional-dag-kernels-enhancements-1507.03372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ordered-decompositional-dag-kernels-enhancements-1507.03372"/></url>
<url><loc>https://scifaro.com/en/abs/rich-component-analysis-1507.03867</loc><lastmod>2015-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rich-component-analysis-1507.03867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rich-component-analysis-1507.03867"/></url>
<url><loc>https://scifaro.com/en/abs/training-artificial-neural-networks-to-learn-a-nondeterministic-game-1507.04029</loc><lastmod>2015-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-artificial-neural-networks-to-learn-a-nondeterministic-game-1507.04029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-artificial-neural-networks-to-learn-a-nondeterministic-game-1507.04029"/></url>
<url><loc>https://scifaro.com/en/abs/solomonoff-induction-violates-nicod-s-criterion-1507.04121</loc><lastmod>2015-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solomonoff-induction-violates-nicod-s-criterion-1507.04121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solomonoff-induction-violates-nicod-s-criterion-1507.04121"/></url>
<url><loc>https://scifaro.com/en/abs/alevs-active-learning-by-statistical-leverage-sampling-1507.04155</loc><lastmod>2016-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alevs-active-learning-by-statistical-leverage-sampling-1507.04155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alevs-active-learning-by-statistical-leverage-sampling-1507.04155"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-cascading-bandits-1507.04208</loc><lastmod>2015-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-cascading-bandits-1507.04208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-cascading-bandits-1507.04208"/></url>
<url><loc>https://scifaro.com/en/abs/learning-action-models-qualitative-approach-1507.04285</loc><lastmod>2015-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-action-models-qualitative-approach-1507.04285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-action-models-qualitative-approach-1507.04285"/></url>
<url><loc>https://scifaro.com/en/abs/massively-parallel-methods-for-deep-reinforcement-learning-1507.04296</loc><lastmod>2015-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/massively-parallel-methods-for-deep-reinforcement-learning-1507.04296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/massively-parallel-methods-for-deep-reinforcement-learning-1507.04296"/></url>
<url><loc>https://scifaro.com/en/abs/learning-boolean-functions-with-concentrated-spectra-1507.04319</loc><lastmod>2016-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-boolean-functions-with-concentrated-spectra-1507.04319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-boolean-functions-with-concentrated-spectra-1507.04319"/></url>
<url><loc>https://scifaro.com/en/abs/towards-predicting-first-daily-departure-times-a-gaussian-modeling-approach-for-load-shift-forecasting-1507.04502</loc><lastmod>2015-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-predicting-first-daily-departure-times-a-gaussian-modeling-approach-for-load-shift-forecasting-1507.04502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-predicting-first-daily-departure-times-a-gaussian-modeling-approach-for-load-shift-forecasting-1507.04502"/></url>
<url><loc>https://scifaro.com/en/abs/upper-confidence-bound-algorithms-for-active-learning-in-multi-armed-bandits-1507.04523</loc><lastmod>2015-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/upper-confidence-bound-algorithms-for-active-learning-in-multi-armed-bandits-1507.04523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/upper-confidence-bound-algorithms-for-active-learning-in-multi-armed-bandits-1507.04523"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-classify-with-possible-sensor-failures-1507.04540</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-classify-with-possible-sensor-failures-1507.04540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-classify-with-possible-sensor-failures-1507.04540"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-and-music-adversaries-1507.04761</loc><lastmod>2015-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-and-music-adversaries-1507.04761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-and-music-adversaries-1507.04761"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-entropy-deep-inverse-reinforcement-learning-1507.04888</loc><lastmod>2016-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-entropy-deep-inverse-reinforcement-learning-1507.04888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-entropy-deep-inverse-reinforcement-learning-1507.04888"/></url>
<url><loc>https://scifaro.com/en/abs/lower-bounds-for-multi-armed-bandit-with-non-equivalent-multiple-plays-1507.04910</loc><lastmod>2015-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lower-bounds-for-multi-armed-bandit-with-non-equivalent-multiple-plays-1507.04910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lower-bounds-for-multi-armed-bandit-with-non-equivalent-multiple-plays-1507.04910"/></url>
<url><loc>https://scifaro.com/en/abs/fruler-fuzzy-rule-learning-through-evolution-for-regression-1507.04997</loc><lastmod>2015-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fruler-fuzzy-rule-learning-through-evolution-for-regression-1507.04997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fruler-fuzzy-rule-learning-through-evolution-for-regression-1507.04997"/></url>
<url><loc>https://scifaro.com/en/abs/type-i-and-type-ii-bayesian-methods-for-sparse-signal-recovery-using-scale-mixtures-1507.05087</loc><lastmod>2016-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/type-i-and-type-ii-bayesian-methods-for-sparse-signal-recovery-using-scale-mixtures-1507.05087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/type-i-and-type-ii-bayesian-methods-for-sparse-signal-recovery-using-scale-mixtures-1507.05087"/></url>
<url><loc>https://scifaro.com/en/abs/2-notes-on-classes-with-vapnik-chervonenkis-dimension-1-1507.05307</loc><lastmod>2015-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/2-notes-on-classes-with-vapnik-chervonenkis-dimension-1-1507.05307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/2-notes-on-classes-with-vapnik-chervonenkis-dimension-1-1507.05307"/></url>
<url><loc>https://scifaro.com/en/abs/regret-guarantees-for-item-item-collaborative-filtering-1507.05371</loc><lastmod>2016-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-guarantees-for-item-item-collaborative-filtering-1507.05371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-guarantees-for-item-item-collaborative-filtering-1507.05371"/></url>
<url><loc>https://scifaro.com/en/abs/amp-a-new-time-frequency-feature-extraction-method-for-intermittent-time-series-data-1507.05455</loc><lastmod>2015-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amp-a-new-time-frequency-feature-extraction-method-for-intermittent-time-series-data-1507.05455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amp-a-new-time-frequency-feature-extraction-method-for-intermittent-time-series-data-1507.05455"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-based-task-assignment-for-heterogeneous-crowdsourcing-1507.05800</loc><lastmod>2015-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-based-task-assignment-for-heterogeneous-crowdsourcing-1507.05800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-based-task-assignment-for-heterogeneous-crowdsourcing-1507.05800"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-the-classification-of-low-dimensional-data-with-supervised-manifold-learning-1507.05880</loc><lastmod>2018-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-the-classification-of-low-dimensional-data-with-supervised-manifold-learning-1507.05880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-the-classification-of-low-dimensional-data-with-supervised-manifold-learning-1507.05880"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-is-efficient-for-approximate-maximum-inner-product-search-1507.05910</loc><lastmod>2015-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-is-efficient-for-approximate-maximum-inner-product-search-1507.05910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-is-efficient-for-approximate-maximum-inner-product-search-1507.05910"/></url>
<url><loc>https://scifaro.com/en/abs/banzhaf-random-forests-1507.06105</loc><lastmod>2015-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/banzhaf-random-forests-1507.06105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/banzhaf-random-forests-1507.06105"/></url>
<url><loc>https://scifaro.com/en/abs/training-very-deep-networks-1507.06228</loc><lastmod>2015-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-very-deep-networks-1507.06228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-very-deep-networks-1507.06228"/></url>
<url><loc>https://scifaro.com/en/abs/sum-of-squares-lower-bounds-for-sparse-pca-1507.06370</loc><lastmod>2015-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sum-of-squares-lower-bounds-for-sparse-pca-1507.06370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sum-of-squares-lower-bounds-for-sparse-pca-1507.06370"/></url>
<url><loc>https://scifaro.com/en/abs/deep-recurrent-q-learning-for-partially-observable-mdps-1507.06527</loc><lastmod>2017-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-recurrent-q-learning-for-partially-observable-mdps-1507.06527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-recurrent-q-learning-for-partially-observable-mdps-1507.06527"/></url>
<url><loc>https://scifaro.com/en/abs/linear-contextual-bandits-with-knapsacks-1507.06738</loc><lastmod>2016-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-contextual-bandits-with-knapsacks-1507.06738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-contextual-bandits-with-knapsacks-1507.06738"/></url>
<url><loc>https://scifaro.com/en/abs/a-reinforcement-learning-approach-to-online-learning-of-decision-trees-1507.06923</loc><lastmod>2015-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reinforcement-learning-approach-to-online-learning-of-decision-trees-1507.06923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reinforcement-learning-approach-to-online-learning-of-decision-trees-1507.06923"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-of-sparse-online-learning-and-its-applications-1507.07146</loc><lastmod>2015-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-of-sparse-online-learning-and-its-applications-1507.07146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-of-sparse-online-learning-and-its-applications-1507.07146"/></url>
<url><loc>https://scifaro.com/en/abs/true-online-emphatic-td-lambda-quick-reference-and-implementation-guide-1507.07147</loc><lastmod>2015-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/true-online-emphatic-td-lambda-quick-reference-and-implementation-guide-1507.07147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/true-online-emphatic-td-lambda-quick-reference-and-implementation-guide-1507.07147"/></url>
<url><loc>https://scifaro.com/en/abs/task-selection-for-bandit-based-task-assignment-in-heterogeneous-crowdsourcing-1507.07199</loc><lastmod>2015-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-selection-for-bandit-based-task-assignment-in-heterogeneous-crowdsourcing-1507.07199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-selection-for-bandit-based-task-assignment-in-heterogeneous-crowdsourcing-1507.07199"/></url>
<url><loc>https://scifaro.com/en/abs/a-genetic-algorithm-for-autonomous-navigation-in-partially-observable-domain-1507.07374</loc><lastmod>2015-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-genetic-algorithm-for-autonomous-navigation-in-partially-observable-domain-1507.07374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-genetic-algorithm-for-autonomous-navigation-in-partially-observable-domain-1507.07374"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-domain-adaptation-via-kernel-regression-on-the-grassmannian-1507.07830</loc><lastmod>2015-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-domain-adaptation-via-kernel-regression-on-the-grassmannian-1507.07830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-domain-adaptation-via-kernel-regression-on-the-grassmannian-1507.07830"/></url>
<url><loc>https://scifaro.com/en/abs/optimally-confident-ucb-improved-regret-for-finite-armed-bandits-1507.07880</loc><lastmod>2016-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimally-confident-ucb-improved-regret-for-finite-armed-bandits-1507.07880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimally-confident-ucb-improved-regret-for-finite-armed-bandits-1507.07880"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-multidimensional-patient-modeling-using-auxiliary-confidence-labels-1507.07955</loc><lastmod>2015-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-multidimensional-patient-modeling-using-auxiliary-confidence-labels-1507.07955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-multidimensional-patient-modeling-using-auxiliary-confidence-labels-1507.07955"/></url>
<url><loc>https://scifaro.com/en/abs/a-constrained-optimization-perspective-on-actor-critic-algorithms-and-application-to-network-routing-1507.07984</loc><lastmod>2015-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-constrained-optimization-perspective-on-actor-critic-algorithms-and-application-to-network-routing-1507.07984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-constrained-optimization-perspective-on-actor-critic-algorithms-and-application-to-network-routing-1507.07984"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-for-outlier-detection-on-a-budget-1507.08104</loc><lastmod>2015-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-for-outlier-detection-on-a-budget-1507.08104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-for-outlier-detection-on-a-budget-1507.08104"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-mini-batch-sdca-1507.08322</loc><lastmod>2015-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-mini-batch-sdca-1507.08322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-mini-batch-sdca-1507.08322"/></url>
<url><loc>https://scifaro.com/en/abs/vmf-sne-embedding-for-spherical-data-1507.08379</loc><lastmod>2015-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vmf-sne-embedding-for-spherical-data-1507.08379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vmf-sne-embedding-for-spherical-data-1507.08379"/></url>
<url><loc>https://scifaro.com/en/abs/action-conditional-video-prediction-using-deep-networks-in-atari-games-1507.08750</loc><lastmod>2015-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/action-conditional-video-prediction-using-deep-networks-in-atari-games-1507.08750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/action-conditional-video-prediction-using-deep-networks-in-atari-games-1507.08750"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimal-algorithm-for-bandit-and-zero-order-convex-optimization-with-two-point-feedback-1507.08752</loc><lastmod>2015-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimal-algorithm-for-bandit-and-zero-order-convex-optimization-with-two-point-feedback-1507.08752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimal-algorithm-for-bandit-and-zero-order-convex-optimization-with-two-point-feedback-1507.08752"/></url>
<url><loc>https://scifaro.com/en/abs/fast-stochastic-algorithms-for-svd-and-pca-convergence-properties-and-convexity-1507.08788</loc><lastmod>2015-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-stochastic-algorithms-for-svd-and-pca-convergence-properties-and-convexity-1507.08788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-stochastic-algorithms-for-svd-and-pca-convergence-properties-and-convexity-1507.08788"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-multivariate-performance-optimization-method-based-on-sparse-coding-and-hyper-predictor-learning-1507.08847</loc><lastmod>2015-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-multivariate-performance-optimization-method-based-on-sparse-coding-and-hyper-predictor-learning-1507.08847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-multivariate-performance-optimization-method-based-on-sparse-coding-and-hyper-predictor-learning-1507.08847"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-neural-networks-applied-to-taxi-destination-prediction-1508.00021</loc><lastmod>2016-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-neural-networks-applied-to-taxi-destination-prediction-1508.00021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-neural-networks-applied-to-taxi-destination-prediction-1508.00021"/></url>
<url><loc>https://scifaro.com/en/abs/turnover-prediction-of-shares-using-data-mining-techniques-a-case-study-1508.00088</loc><lastmod>2015-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/turnover-prediction-of-shares-using-data-mining-techniques-a-case-study-1508.00088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/turnover-prediction-of-shares-using-data-mining-techniques-a-case-study-1508.00088"/></url>
<url><loc>https://scifaro.com/en/abs/an-analytic-framework-for-maritime-situation-analysis-1508.00181</loc><lastmod>2015-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analytic-framework-for-maritime-situation-analysis-1508.00181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analytic-framework-for-maritime-situation-analysis-1508.00181"/></url>
<url><loc>https://scifaro.com/en/abs/a-weakly-supervised-learning-approach-based-on-spectral-graph-theoretic-grouping-1508.00507</loc><lastmod>2015-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-weakly-supervised-learning-approach-based-on-spectral-graph-theoretic-grouping-1508.00507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-weakly-supervised-learning-approach-based-on-spectral-graph-theoretic-grouping-1508.00507"/></url>
<url><loc>https://scifaro.com/en/abs/episodic-multi-armed-bandits-1508.00641</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/episodic-multi-armed-bandits-1508.00641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/episodic-multi-armed-bandits-1508.00641"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-active-learning-from-crowds-1508.00722</loc><lastmod>2015-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-active-learning-from-crowds-1508.00722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-active-learning-from-crowds-1508.00722"/></url>
<url><loc>https://scifaro.com/en/abs/fixed-point-algorithms-for-learning-determinantal-point-processes-1508.00792</loc><lastmod>2015-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixed-point-algorithms-for-learning-determinantal-point-processes-1508.00792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixed-point-algorithms-for-learning-determinantal-point-processes-1508.00792"/></url>
<url><loc>https://scifaro.com/en/abs/perceptron-like-algorithms-for-online-learning-to-rank-1508.00842</loc><lastmod>2016-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perceptron-like-algorithms-for-online-learning-to-rank-1508.00842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perceptron-like-algorithms-for-online-learning-to-rank-1508.00842"/></url>
<url><loc>https://scifaro.com/en/abs/progressive-em-for-latent-tree-models-and-hierarchical-topic-detection-1508.00973</loc><lastmod>2015-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progressive-em-for-latent-tree-models-and-hierarchical-topic-detection-1508.00973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progressive-em-for-latent-tree-models-and-hierarchical-topic-detection-1508.00973"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-reduction-with-non-degrading-generalization-1508.00984</loc><lastmod>2020-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-reduction-with-non-degrading-generalization-1508.00984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-reduction-with-non-degrading-generalization-1508.00984"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-lda-using-deep-neural-networks-1508.01011</loc><lastmod>2015-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-lda-using-deep-neural-networks-1508.01011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-lda-using-deep-neural-networks-1508.01011"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-heterogeneous-data-mining-for-brain-disorders-1508.01023</loc><lastmod>2015-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-heterogeneous-data-mining-for-brain-disorders-1508.01023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-heterogeneous-data-mining-for-brain-disorders-1508.01023"/></url>
<url><loc>https://scifaro.com/en/abs/deep-convolutional-networks-are-hierarchical-kernel-machines-1508.01084</loc><lastmod>2015-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-convolutional-networks-are-hierarchical-kernel-machines-1508.01084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-convolutional-networks-are-hierarchical-kernel-machines-1508.01084"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-metric-learning-for-knn-and-svms-through-geometric-transformations-1508.01534</loc><lastmod>2015-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-metric-learning-for-knn-and-svms-through-geometric-transformations-1508.01534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-metric-learning-for-knn-and-svms-through-geometric-transformations-1508.01534"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-and-empirical-analysis-of-a-parallel-boosting-algorithm-1508.01549</loc><lastmod>2015-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-and-empirical-analysis-of-a-parallel-boosting-algorithm-1508.01549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-and-empirical-analysis-of-a-parallel-boosting-algorithm-1508.01549"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-distributed-semi-stochastic-gradient-optimization-1508.01633</loc><lastmod>2015-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-distributed-semi-stochastic-gradient-optimization-1508.01633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-distributed-semi-stochastic-gradient-optimization-1508.01633"/></url>
<url><loc>https://scifaro.com/en/abs/crowd-access-path-optimization-diversity-matters-1508.01951</loc><lastmod>2015-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crowd-access-path-optimization-diversity-matters-1508.01951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crowd-access-path-optimization-diversity-matters-1508.01951"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-training-for-svms-with-data-augmentation-1508.02268</loc><lastmod>2015-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-training-for-svms-with-data-augmentation-1508.02268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-training-for-svms-with-data-augmentation-1508.02268"/></url>
<url><loc>https://scifaro.com/en/abs/training-conditional-random-fields-with-natural-gradient-descent-1508.02373</loc><lastmod>2015-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-conditional-random-fields-with-natural-gradient-descent-1508.02373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-conditional-random-fields-with-natural-gradient-descent-1508.02373"/></url>
<url><loc>https://scifaro.com/en/abs/normalized-hierarchical-svm-1508.02479</loc><lastmod>2016-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalized-hierarchical-svm-1508.02479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalized-hierarchical-svm-1508.02479"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-regularization-in-structured-output-space-for-semi-supervised-structured-output-prediction-1508.02849</loc><lastmod>2015-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-regularization-in-structured-output-space-for-semi-supervised-structured-output-prediction-1508.02849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-regularization-in-structured-output-space-for-semi-supervised-structured-output-prediction-1508.02849"/></url>
<url><loc>https://scifaro.com/en/abs/from-cutting-planes-algorithms-to-compression-schemes-and-active-learning-1508.02986</loc><lastmod>2015-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-cutting-planes-algorithms-to-compression-schemes-and-active-learning-1508.02986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-cutting-planes-algorithms-to-compression-schemes-and-active-learning-1508.02986"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-dependency-networks-for-prediction-and-diagnostics-1508.03130</loc><lastmod>2015-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-dependency-networks-for-prediction-and-diagnostics-1508.03130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-dependency-networks-for-prediction-and-diagnostics-1508.03130"/></url>
<url><loc>https://scifaro.com/en/abs/hash-function-learning-via-codewords-1508.03285</loc><lastmod>2015-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hash-function-learning-via-codewords-1508.03285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hash-function-learning-via-codewords-1508.03285"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-contextual-multi-armed-bandits-1508.03326</loc><lastmod>2016-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-contextual-multi-armed-bandits-1508.03326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-contextual-multi-armed-bandits-1508.03326"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-with-group-specific-feature-space-sharing-1508.03329</loc><lastmod>2015-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-with-group-specific-feature-space-sharing-1508.03329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-with-group-specific-feature-space-sharing-1508.03329"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-real-users-rating-dialogue-success-with-neural-networks-for-reinforcement-learning-in-spoken-dialogue-systems-1508.03386</loc><lastmod>2015-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-real-users-rating-dialogue-success-with-neural-networks-for-reinforcement-learning-in-spoken-dialogue-systems-1508.03386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-real-users-rating-dialogue-success-with-neural-networks-for-reinforcement-learning-in-spoken-dialogue-systems-1508.03386"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-stochastic-primal-dual-coordinate-method-for-bilinear-saddle-point-problem-1508.03390</loc><lastmod>2017-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-stochastic-primal-dual-coordinate-method-for-bilinear-saddle-point-problem-1508.03390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-stochastic-primal-dual-coordinate-method-for-bilinear-saddle-point-problem-1508.03390"/></url>
<url><loc>https://scifaro.com/en/abs/reward-shaping-with-recurrent-neural-networks-for-speeding-up-on-line-policy-learning-in-spoken-dialogue-systems-1508.03391</loc><lastmod>2015-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reward-shaping-with-recurrent-neural-networks-for-speeding-up-on-line-policy-learning-in-spoken-dialogue-systems-1508.03391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reward-shaping-with-recurrent-neural-networks-for-speeding-up-on-line-policy-learning-in-spoken-dialogue-systems-1508.03391"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-learning-of-lda-by-mirror-descent-back-propagation-over-a-deep-architecture-1508.03398</loc><lastmod>2015-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-learning-of-lda-by-mirror-descent-back-propagation-over-a-deep-architecture-1508.03398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-learning-of-lda-by-mirror-descent-back-propagation-over-a-deep-architecture-1508.03398"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-grades-1508.03865</loc><lastmod>2016-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-grades-1508.03865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-grades-1508.03865"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-approach-to-structured-signal-recovery-1508.04065</loc><lastmod>2016-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-structured-signal-recovery-1508.04065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-structured-signal-recovery-1508.04065"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-deep-q-learning-1508.04186</loc><lastmod>2015-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-deep-q-learning-1508.04186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-deep-q-learning-1508.04186"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-learning-of-sparse-context-reconstruction-coefficients-for-data-representation-and-classification-1508.04221</loc><lastmod>2015-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-learning-of-sparse-context-reconstruction-coefficients-for-data-representation-and-classification-1508.04221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-learning-of-sparse-context-reconstruction-coefficients-for-data-representation-and-classification-1508.04221"/></url>
<url><loc>https://scifaro.com/en/abs/esdf-ensemble-selection-using-diversity-and-frequency-1508.04333</loc><lastmod>2015-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/esdf-ensemble-selection-using-diversity-and-frequency-1508.04333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/esdf-ensemble-selection-using-diversity-and-frequency-1508.04333"/></url>
<url><loc>https://scifaro.com/en/abs/a-dictionary-learning-approach-for-factorial-gaussian-models-1508.04486</loc><lastmod>2015-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dictionary-learning-approach-for-factorial-gaussian-models-1508.04486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dictionary-learning-approach-for-factorial-gaussian-models-1508.04486"/></url>
<url><loc>https://scifaro.com/en/abs/mining-brain-networks-using-multiple-side-views-for-neurological-disorder-identification-1508.04554</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-brain-networks-using-multiple-side-views-for-neurological-disorder-identification-1508.04554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-brain-networks-using-multiple-side-views-for-neurological-disorder-identification-1508.04554"/></url>
<url><loc>https://scifaro.com/en/abs/introduction-to-cross-entropy-clustering-the-r-package-cec-1508.04559</loc><lastmod>2015-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introduction-to-cross-entropy-clustering-the-r-package-cec-1508.04559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introduction-to-cross-entropy-clustering-the-r-package-cec-1508.04559"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-predict-independent-of-span-1508.04582</loc><lastmod>2015-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-predict-independent-of-span-1508.04582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-predict-independent-of-span-1508.04582"/></url>
<url><loc>https://scifaro.com/en/abs/fault-diagnosis-of-helical-gear-box-using-large-margin-k-nearest-neighbors-classifier-using-sound-signals-1508.04734</loc><lastmod>2015-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fault-diagnosis-of-helical-gear-box-using-large-margin-k-nearest-neighbors-classifier-using-sound-signals-1508.04734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fault-diagnosis-of-helical-gear-box-using-large-margin-k-nearest-neighbors-classifier-using-sound-signals-1508.04734"/></url>
<url><loc>https://scifaro.com/en/abs/dither-is-better-than-dropout-for-regularising-deep-neural-networks-1508.04826</loc><lastmod>2015-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dither-is-better-than-dropout-for-regularising-deep-neural-networks-1508.04826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dither-is-better-than-dropout-for-regularising-deep-neural-networks-1508.04826"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-with-regularized-laplacian-1508.04906</loc><lastmod>2015-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-with-regularized-laplacian-1508.04906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-with-regularized-laplacian-1508.04906"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-compressive-sensing-a-deep-learning-approach-1508.04924</loc><lastmod>2016-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-compressive-sensing-a-deep-learning-approach-1508.04924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-compressive-sensing-a-deep-learning-approach-1508.04924"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-bag-of-features-model-for-music-auto-tagging-1508.04999</loc><lastmod>2016-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-bag-of-features-model-for-music-auto-tagging-1508.04999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-bag-of-features-model-for-music-auto-tagging-1508.04999"/></url>
<url><loc>https://scifaro.com/en/abs/steps-toward-deep-kernel-methods-from-infinite-neural-networks-1508.05133</loc><lastmod>2015-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/steps-toward-deep-kernel-methods-from-infinite-neural-networks-1508.05133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/steps-toward-deep-kernel-methods-from-infinite-neural-networks-1508.05133"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-online-learning-1508.05170</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-online-learning-1508.05170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-online-learning-1508.05170"/></url>
<url><loc>https://scifaro.com/en/abs/multiview-diffusion-maps-1508.05550</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiview-diffusion-maps-1508.05550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiview-diffusion-maps-1508.05550"/></url>
<url><loc>https://scifaro.com/en/abs/necessary-and-sufficient-conditions-and-a-provably-efficient-algorithm-for-separable-topic-discovery-1508.05565</loc><lastmod>2015-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/necessary-and-sufficient-conditions-and-a-provably-efficient-algorithm-for-separable-topic-discovery-1508.05565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/necessary-and-sufficient-conditions-and-a-provably-efficient-algorithm-for-separable-topic-discovery-1508.05565"/></url>
<url><loc>https://scifaro.com/en/abs/an-analysis-of-numerical-issues-in-neural-training-by-pseudoinversion-1508.06092</loc><lastmod>2015-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analysis-of-numerical-issues-in-neural-training-by-pseudoinversion-1508.06092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analysis-of-numerical-issues-in-neural-training-by-pseudoinversion-1508.06092"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-kernel-multivariate-performance-learning-using-cutting-plane-algorithm-1508.06264</loc><lastmod>2015-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-kernel-multivariate-performance-learning-using-cutting-plane-algorithm-1508.06264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-kernel-multivariate-performance-learning-using-cutting-plane-algorithm-1508.06264"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-methods-randomization-approaches-and-multi-arm-bandit-algorithms-for-efficient-sparsity-constrained-optimization-1508.06477</loc><lastmod>2016-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-methods-randomization-approaches-and-multi-arm-bandit-algorithms-for-efficient-sparsity-constrained-optimization-1508.06477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-methods-randomization-approaches-and-multi-arm-bandit-algorithms-for-efficient-sparsity-constrained-optimization-1508.06477"/></url>
<url><loc>https://scifaro.com/en/abs/online-anomaly-detection-via-class-imbalance-learning-1508.06717</loc><lastmod>2015-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-anomaly-detection-via-class-imbalance-learning-1508.06717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-anomaly-detection-via-class-imbalance-learning-1508.06717"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-exact-signal-scanning-with-deep-convolutional-neural-networks-1508.06904</loc><lastmod>2017-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-exact-signal-scanning-with-deep-convolutional-neural-networks-1508.06904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-exact-signal-scanning-with-deep-convolutional-neural-networks-1508.06904"/></url>
<url><loc>https://scifaro.com/en/abs/multi-armed-bandit-problem-with-known-trend-1508.07091</loc><lastmod>2017-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-armed-bandit-problem-with-known-trend-1508.07091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-armed-bandit-problem-with-known-trend-1508.07091"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-kernel-recursive-least-square-algoirthm-1508.07103</loc><lastmod>2015-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-kernel-recursive-least-square-algoirthm-1508.07103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-kernel-recursive-least-square-algoirthm-1508.07103"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-dither-and-dropout-for-regularising-deep-neural-networks-1508.07130</loc><lastmod>2015-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-dither-and-dropout-for-regularising-deep-neural-networks-1508.07130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-dither-and-dropout-for-regularising-deep-neural-networks-1508.07130"/></url>
<url><loc>https://scifaro.com/en/abs/competitive-and-penalized-clustering-auto-encoder-1508.07175</loc><lastmod>2017-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/competitive-and-penalized-clustering-auto-encoder-1508.07175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/competitive-and-penalized-clustering-auto-encoder-1508.07175"/></url>
<url><loc>https://scifaro.com/en/abs/varying-coefficient-models-with-isotropic-gaussian-process-priors-1508.07192</loc><lastmod>2015-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/varying-coefficient-models-with-isotropic-gaussian-process-priors-1508.07192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/varying-coefficient-models-with-isotropic-gaussian-process-priors-1508.07192"/></url>
<url><loc>https://scifaro.com/en/abs/x-trepan-a-multi-class-regression-and-adapted-extraction-of-comprehensible-decision-tree-in-artificial-neural-networks-1508.07551</loc><lastmod>2015-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/x-trepan-a-multi-class-regression-and-adapted-extraction-of-comprehensible-decision-tree-in-artificial-neural-networks-1508.07551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/x-trepan-a-multi-class-regression-and-adapted-extraction-of-comprehensible-decision-tree-in-artificial-neural-networks-1508.07551"/></url>
<url><loc>https://scifaro.com/en/abs/value-function-approximation-via-low-rank-models-1509.00061</loc><lastmod>2015-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/value-function-approximation-via-low-rank-models-1509.00061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/value-function-approximation-via-low-rank-models-1509.00061"/></url>
<url><loc>https://scifaro.com/en/abs/metastatic-liver-tumour-segmentation-from-discriminant-grassmannian-manifolds-1509.00083</loc><lastmod>2015-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metastatic-liver-tumour-segmentation-from-discriminant-grassmannian-manifolds-1509.00083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metastatic-liver-tumour-segmentation-from-discriminant-grassmannian-manifolds-1509.00083"/></url>
<url><loc>https://scifaro.com/en/abs/online-supervised-subspace-tracking-1509.00137</loc><lastmod>2015-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-supervised-subspace-tracking-1509.00137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-supervised-subspace-tracking-1509.00137"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-task-specific-deep-architecture-for-clustering-1509.00151</loc><lastmod>2015-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-task-specific-deep-architecture-for-clustering-1509.00151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-task-specific-deep-architecture-for-clustering-1509.00151"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-ell-0-encoders-1509.00153</loc><lastmod>2015-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-ell-0-encoders-1509.00153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-ell-0-encoders-1509.00153"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-online-learning-for-cloud-based-video-recommendation-with-multimedia-big-data-in-social-networks-1509.00181</loc><lastmod>2016-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-online-learning-for-cloud-based-video-recommendation-with-multimedia-big-data-in-social-networks-1509.00181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-online-learning-for-cloud-based-video-recommendation-with-multimedia-big-data-in-social-networks-1509.00181"/></url>
<url><loc>https://scifaro.com/en/abs/sensor-type-classification-in-buildings-1509.00498</loc><lastmod>2015-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensor-type-classification-in-buildings-1509.00498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensor-type-classification-in-buildings-1509.00498"/></url>
<url><loc>https://scifaro.com/en/abs/importance-weighted-autoencoders-1509.00519</loc><lastmod>2016-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-weighted-autoencoders-1509.00519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-weighted-autoencoders-1509.00519"/></url>
<url><loc>https://scifaro.com/en/abs/heavy-tailed-independent-component-analysis-1509.00727</loc><lastmod>2015-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heavy-tailed-independent-component-analysis-1509.00727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heavy-tailed-independent-component-analysis-1509.00727"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-analysis-of-the-meta-des-framework-for-dynamic-selection-of-ensemble-of-classifiers-1509.00825</loc><lastmod>2015-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-analysis-of-the-meta-des-framework-for-dynamic-selection-of-ensemble-of-classifiers-1509.00825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-analysis-of-the-meta-des-framework-for-dynamic-selection-of-ensemble-of-classifiers-1509.00825"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-fly-learning-in-a-perpetual-learning-machine-1509.00913</loc><lastmod>2015-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-fly-learning-in-a-perpetual-learning-machine-1509.00913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-fly-learning-in-a-perpetual-learning-machine-1509.00913"/></url>
<url><loc>https://scifaro.com/en/abs/training-a-restricted-boltzmann-machine-for-classification-by-labeling-model-samples-1509.01053</loc><lastmod>2015-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-a-restricted-boltzmann-machine-for-classification-by-labeling-model-samples-1509.01053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-a-restricted-boltzmann-machine-for-classification-by-labeling-model-samples-1509.01053"/></url>
<url><loc>https://scifaro.com/en/abs/a-tree-based-kernel-for-graphs-with-continuous-attributes-1509.01116</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tree-based-kernel-for-graphs-with-continuous-attributes-1509.01116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tree-based-kernel-for-graphs-with-continuous-attributes-1509.01116"/></url>
<url><loc>https://scifaro.com/en/abs/fast-clustering-and-topic-modeling-based-on-rank-2-nonnegative-matrix-factorization-1509.01208</loc><lastmod>2015-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-clustering-and-topic-modeling-based-on-rank-2-nonnegative-matrix-factorization-1509.01208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-clustering-and-topic-modeling-based-on-rank-2-nonnegative-matrix-factorization-1509.01208"/></url>
<url><loc>https://scifaro.com/en/abs/train-faster-generalize-better-stability-of-stochastic-gradient-descent-1509.01240</loc><lastmod>2016-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/train-faster-generalize-better-stability-of-stochastic-gradient-descent-1509.01240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/train-faster-generalize-better-stability-of-stochastic-gradient-descent-1509.01240"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-methods-to-analyze-arabidopsis-thaliana-plant-root-growth-1509.01270</loc><lastmod>2015-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-methods-to-analyze-arabidopsis-thaliana-plant-root-growth-1509.01270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-methods-to-analyze-arabidopsis-thaliana-plant-root-growth-1509.01270"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-neural-network-training-for-semi-supervised-classifiers-1509.01271</loc><lastmod>2015-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-neural-network-training-for-semi-supervised-classifiers-1509.01271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-neural-network-training-for-semi-supervised-classifiers-1509.01271"/></url>
<url><loc>https://scifaro.com/en/abs/l1-norm-penalized-orthogonal-forward-regression-1509.01323</loc><lastmod>2015-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l1-norm-penalized-orthogonal-forward-regression-1509.01323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l1-norm-penalized-orthogonal-forward-regression-1509.01323"/></url>
<url><loc>https://scifaro.com/en/abs/deep-broad-learning-big-models-for-big-data-1509.01346</loc><lastmod>2015-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-broad-learning-big-models-for-big-data-1509.01346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-broad-learning-big-models-for-big-data-1509.01346"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-and-distributed-approaches-for-graph-based-semi-supervised-learning-1509.01349</loc><lastmod>2015-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-and-distributed-approaches-for-graph-based-semi-supervised-learning-1509.01349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-and-distributed-approaches-for-graph-based-semi-supervised-learning-1509.01349"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-klms-algorithm-and-its-performance-analysis-for-non-linear-distributed-networks-1509.01352</loc><lastmod>2015-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-klms-algorithm-and-its-performance-analysis-for-non-linear-distributed-networks-1509.01352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-klms-algorithm-and-its-performance-analysis-for-non-linear-distributed-networks-1509.01352"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-sampling-for-k-determinantal-point-processes-1509.01618</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-sampling-for-k-determinantal-point-processes-1509.01618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-sampling-for-k-determinantal-point-processes-1509.01618"/></url>
<url><loc>https://scifaro.com/en/abs/character-level-convolutional-networks-for-text-classification-1509.01626</loc><lastmod>2016-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/character-level-convolutional-networks-for-text-classification-1509.01626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/character-level-convolutional-networks-for-text-classification-1509.01626"/></url>
<url><loc>https://scifaro.com/en/abs/gravitational-clustering-1509.01659</loc><lastmod>2015-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gravitational-clustering-1509.01659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gravitational-clustering-1509.01659"/></url>
<url><loc>https://scifaro.com/en/abs/theoretic-analysis-and-extremely-easy-algorithms-for-domain-adaptive-feature-learning-1509.01710</loc><lastmod>2017-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretic-analysis-and-extremely-easy-algorithms-for-domain-adaptive-feature-learning-1509.01710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretic-analysis-and-extremely-easy-algorithms-for-domain-adaptive-feature-learning-1509.01710"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-and-experimental-analyses-of-tensor-based-regression-and-classification-1509.01770</loc><lastmod>2015-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-and-experimental-analyses-of-tensor-based-regression-and-classification-1509.01770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-and-experimental-analyses-of-tensor-based-regression-and-classification-1509.01770"/></url>
<url><loc>https://scifaro.com/en/abs/sampled-weighted-min-hashing-for-large-scale-topic-mining-1509.01771</loc><lastmod>2015-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampled-weighted-min-hashing-for-large-scale-topic-mining-1509.01771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampled-weighted-min-hashing-for-large-scale-topic-mining-1509.01771"/></url>
<url><loc>https://scifaro.com/en/abs/research-analysis-of-transport-model-that-approximates-decision-taker-s-preferences-1509.01815</loc><lastmod>2015-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/research-analysis-of-transport-model-that-approximates-decision-taker-s-preferences-1509.01815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/research-analysis-of-transport-model-that-approximates-decision-taker-s-preferences-1509.01815"/></url>
<url><loc>https://scifaro.com/en/abs/deep-online-convex-optimization-by-putting-forecaster-to-sleep-1509.01851</loc><lastmod>2016-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-online-convex-optimization-by-putting-forecaster-to-sleep-1509.01851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-online-convex-optimization-by-putting-forecaster-to-sleep-1509.01851"/></url>
<url><loc>https://scifaro.com/en/abs/data-selective-transfer-learning-for-multi-domain-speech-recognition-1509.02409</loc><lastmod>2015-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-selective-transfer-learning-for-multi-domain-speech-recognition-1509.02409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-selective-transfer-learning-for-multi-domain-speech-recognition-1509.02409"/></url>
<url><loc>https://scifaro.com/en/abs/a-behavior-analysis-based-game-bot-detection-approach-considering-various-play-styles-1509.02458</loc><lastmod>2015-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-behavior-analysis-based-game-bot-detection-approach-considering-various-play-styles-1509.02458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-behavior-analysis-based-game-bot-detection-approach-considering-various-play-styles-1509.02458"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-control-with-deep-reinforcement-learning-1509.02971</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-control-with-deep-reinforcement-learning-1509.02971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-control-with-deep-reinforcement-learning-1509.02971"/></url>
<url><loc>https://scifaro.com/en/abs/compatible-value-gradients-for-reinforcement-learning-of-continuous-deep-policies-1509.03005</loc><lastmod>2015-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compatible-value-gradients-for-reinforcement-learning-of-continuous-deep-policies-1509.03005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compatible-value-gradients-for-reinforcement-learning-of-continuous-deep-policies-1509.03005"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-reinforcement-learning-a-hybrid-approach-1509.03044</loc><lastmod>2015-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-reinforcement-learning-a-hybrid-approach-1509.03044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-reinforcement-learning-a-hybrid-approach-1509.03044"/></url>
<url><loc>https://scifaro.com/en/abs/use-it-or-lose-it-selective-memory-and-forgetting-in-a-perpetual-learning-machine-1509.03185</loc><lastmod>2015-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/use-it-or-lose-it-selective-memory-and-forgetting-in-a-perpetual-learning-machine-1509.03185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/use-it-or-lose-it-selective-memory-and-forgetting-in-a-perpetual-learning-machine-1509.03185"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-initial-centroid-finding-method-based-on-dissimilarity-tree-for-k-means-algorithm-1509.03200</loc><lastmod>2015-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-initial-centroid-finding-method-based-on-dissimilarity-tree-for-k-means-algorithm-1509.03200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-initial-centroid-finding-method-based-on-dissimilarity-tree-for-k-means-algorithm-1509.03200"/></url>
<url><loc>https://scifaro.com/en/abs/hessian-free-optimization-for-learning-deep-multidimensional-recurrent-neural-networks-1509.03475</loc><lastmod>2015-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hessian-free-optimization-for-learning-deep-multidimensional-recurrent-neural-networks-1509.03475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hessian-free-optimization-for-learning-deep-multidimensional-recurrent-neural-networks-1509.03475"/></url>
<url><loc>https://scifaro.com/en/abs/hardness-of-online-sleeping-combinatorial-optimization-problems-1509.03600</loc><lastmod>2016-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hardness-of-online-sleeping-combinatorial-optimization-problems-1509.03600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hardness-of-online-sleeping-combinatorial-optimization-problems-1509.03600"/></url>
<url><loc>https://scifaro.com/en/abs/toward-better-feature-weighting-algorithms-a-focus-on-relief-1509.03755</loc><lastmod>2015-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-better-feature-weighting-algorithms-a-focus-on-relief-1509.03755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-better-feature-weighting-algorithms-a-focus-on-relief-1509.03755"/></url>
<url><loc>https://scifaro.com/en/abs/parametric-maxflows-for-structured-sparse-learning-with-convex-relaxations-of-submodular-functions-1509.03946</loc><lastmod>2015-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametric-maxflows-for-structured-sparse-learning-with-convex-relaxations-of-submodular-functions-1509.03946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametric-maxflows-for-structured-sparse-learning-with-convex-relaxations-of-submodular-functions-1509.03946"/></url>
<url><loc>https://scifaro.com/en/abs/double-relief-with-progressive-weighting-function-1509.04265</loc><lastmod>2015-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-relief-with-progressive-weighting-function-1509.04265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-relief-with-progressive-weighting-function-1509.04265"/></url>
<url><loc>https://scifaro.com/en/abs/voted-kernel-regularization-1509.04340</loc><lastmod>2015-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/voted-kernel-regularization-1509.04340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/voted-kernel-regularization-1509.04340"/></url>
<url><loc>https://scifaro.com/en/abs/towards-making-high-dimensional-distance-metric-learning-practical-1509.04355</loc><lastmod>2015-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-making-high-dimensional-distance-metric-learning-practical-1509.04355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-making-high-dimensional-distance-metric-learning-practical-1509.04355"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-poisson-factorization-1509.04640</loc><lastmod>2015-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-poisson-factorization-1509.04640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-poisson-factorization-1509.04640"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-method-for-grouped-time-series-with-the-use-of-k-means-algorithm-1509.04705</loc><lastmod>2015-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-method-for-grouped-time-series-with-the-use-of-k-means-algorithm-1509.04705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-method-for-grouped-time-series-with-the-use-of-k-means-algorithm-1509.04705"/></url>
<url><loc>https://scifaro.com/en/abs/fast-sequence-component-analysis-for-attack-detection-in-synchrophasor-networks-1509.05086</loc><lastmod>2015-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-sequence-component-analysis-for-attack-detection-in-synchrophasor-networks-1509.05086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-sequence-component-analysis-for-attack-detection-in-synchrophasor-networks-1509.05086"/></url>
<url><loc>https://scifaro.com/en/abs/fast-gaussian-process-regression-for-big-data-1509.05142</loc><lastmod>2017-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-gaussian-process-regression-for-big-data-1509.05142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-gaussian-process-regression-for-big-data-1509.05142"/></url>
<url><loc>https://scifaro.com/en/abs/taming-the-relu-with-parallel-dither-in-a-deep-neural-network-1509.05173</loc><lastmod>2015-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taming-the-relu-with-parallel-dither-in-a-deep-neural-network-1509.05173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taming-the-relu-with-parallel-dither-in-a-deep-neural-network-1509.05173"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-hash-for-indexing-big-data-a-survey-1509.05472</loc><lastmod>2015-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-hash-for-indexing-big-data-a-survey-1509.05472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-hash-for-indexing-big-data-a-survey-1509.05472"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-statistics-prediction-and-machine-learning-1509.05473</loc><lastmod>2015-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-statistics-prediction-and-machine-learning-1509.05473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-statistics-prediction-and-machine-learning-1509.05473"/></url>
<url><loc>https://scifaro.com/en/abs/oddball-sgd-novelty-driven-stochastic-gradient-descent-for-training-deep-neural-networks-1509.05765</loc><lastmod>2015-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oddball-sgd-novelty-driven-stochastic-gradient-descent-for-training-deep-neural-networks-1509.05765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oddball-sgd-novelty-driven-stochastic-gradient-descent-for-training-deep-neural-networks-1509.05765"/></url>
<url><loc>https://scifaro.com/en/abs/blc-private-matrix-factorization-recommenders-via-automatic-group-learning-1509.05789</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blc-private-matrix-factorization-recommenders-via-automatic-group-learning-1509.05789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blc-private-matrix-factorization-recommenders-via-automatic-group-learning-1509.05789"/></url>
<url><loc>https://scifaro.com/en/abs/multilayer-bootstrap-network-for-unsupervised-speaker-recognition-1509.06095</loc><lastmod>2015-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilayer-bootstrap-network-for-unsupervised-speaker-recognition-1509.06095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilayer-bootstrap-network-for-unsupervised-speaker-recognition-1509.06095"/></url>
<url><loc>https://scifaro.com/en/abs/deep-spatial-autoencoders-for-visuomotor-learning-1509.06113</loc><lastmod>2016-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-spatial-autoencoders-for-visuomotor-learning-1509.06113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-spatial-autoencoders-for-visuomotor-learning-1509.06113"/></url>
<url><loc>https://scifaro.com/en/abs/the-utility-of-clustering-in-prediction-tasks-1509.06163</loc><lastmod>2015-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-utility-of-clustering-in-prediction-tasks-1509.06163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-utility-of-clustering-in-prediction-tasks-1509.06163"/></url>
<url><loc>https://scifaro.com/en/abs/harmonic-extension-1509.06458</loc><lastmod>2015-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harmonic-extension-1509.06458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harmonic-extension-1509.06458"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-with-double-q-learning-1509.06461</loc><lastmod>2015-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-double-q-learning-1509.06461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-double-q-learning-1509.06461"/></url>
<url><loc>https://scifaro.com/en/abs/tensorizing-neural-networks-1509.06569</loc><lastmod>2015-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensorizing-neural-networks-1509.06569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensorizing-neural-networks-1509.06569"/></url>
<url><loc>https://scifaro.com/en/abs/graph-kernels-exploiting-weisfeiler-lehman-graph-isomorphism-test-extensions-1509.06589</loc><lastmod>2015-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-kernels-exploiting-weisfeiler-lehman-graph-isomorphism-test-extensions-1509.06589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-kernels-exploiting-weisfeiler-lehman-graph-isomorphism-test-extensions-1509.06589"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-control-policies-for-autonomous-aerial-vehicles-with-mpc-guided-policy-search-1509.06791</loc><lastmod>2016-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-control-policies-for-autonomous-aerial-vehicles-with-mpc-guided-policy-search-1509.06791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-control-policies-for-autonomous-aerial-vehicles-with-mpc-guided-policy-search-1509.06791"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-label-inference-for-weakly-supervised-learning-1509.06807</loc><lastmod>2015-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-label-inference-for-weakly-supervised-learning-1509.06807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-label-inference-for-weakly-supervised-learning-1509.06807"/></url>
<url><loc>https://scifaro.com/en/abs/learning-wake-sleep-recurrent-attention-models-1509.06812</loc><lastmod>2015-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-wake-sleep-recurrent-attention-models-1509.06812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-wake-sleep-recurrent-attention-models-1509.06812"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-reinforcement-learning-with-parametrized-physical-models-and-optimism-driven-exploration-1509.06824</loc><lastmod>2016-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-with-parametrized-physical-models-and-optimism-driven-exploration-1509.06824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-with-parametrized-physical-models-and-optimism-driven-exploration-1509.06824"/></url>
<url><loc>https://scifaro.com/en/abs/supersizing-self-supervision-learning-to-grasp-from-50k-tries-and-700-robot-hours-1509.06825</loc><lastmod>2015-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supersizing-self-supervision-learning-to-grasp-from-50k-tries-and-700-robot-hours-1509.06825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supersizing-self-supervision-learning-to-grasp-from-50k-tries-and-700-robot-hours-1509.06825"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-learning-of-manipulation-skills-with-online-dynamics-adaptation-and-neural-network-priors-1509.06841</loc><lastmod>2016-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-learning-of-manipulation-skills-with-online-dynamics-adaptation-and-neural-network-priors-1509.06841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-learning-of-manipulation-skills-with-online-dynamics-adaptation-and-neural-network-priors-1509.06841"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-learning-vector-quantization-classifiers-1509.07093</loc><lastmod>2015-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-learning-vector-quantization-classifiers-1509.07093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-learning-vector-quantization-classifiers-1509.07093"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-direct-maximization-of-quadratic-weighted-kappa-1509.07107</loc><lastmod>2015-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-direct-maximization-of-quadratic-weighted-kappa-1509.07107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-direct-maximization-of-quadratic-weighted-kappa-1509.07107"/></url>
<url><loc>https://scifaro.com/en/abs/illinoissl-a-java-library-for-structured-prediction-1509.07179</loc><lastmod>2015-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/illinoissl-a-java-library-for-structured-prediction-1509.07179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/illinoissl-a-java-library-for-structured-prediction-1509.07179"/></url>
<url><loc>https://scifaro.com/en/abs/sparsity-based-correction-of-exponential-artifacts-1509.07234</loc><lastmod>2015-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsity-based-correction-of-exponential-artifacts-1509.07234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsity-based-correction-of-exponential-artifacts-1509.07234"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-sequential-optimization-with-applications-to-machine-learning-1509.07422</loc><lastmod>2015-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-sequential-optimization-with-applications-to-machine-learning-1509.07422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-sequential-optimization-with-applications-to-machine-learning-1509.07422"/></url>
<url><loc>https://scifaro.com/en/abs/a-128-channel-extreme-learning-machine-based-neural-decoder-for-brain-machine-interfaces-1509.07450</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-128-channel-extreme-learning-machine-based-neural-decoder-for-brain-machine-interfaces-1509.07450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-128-channel-extreme-learning-machine-based-neural-decoder-for-brain-machine-interfaces-1509.07450"/></url>
<url><loc>https://scifaro.com/en/abs/spatially-encoding-temporal-correlations-to-classify-temporal-data-using-convolutional-neural-networks-1509.07481</loc><lastmod>2015-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatially-encoding-temporal-correlations-to-classify-temporal-data-using-convolutional-neural-networks-1509.07481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatially-encoding-temporal-correlations-to-classify-temporal-data-using-convolutional-neural-networks-1509.07481"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-feature-selection-methods-based-on-mutual-information-1509.07577</loc><lastmod>2015-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-feature-selection-methods-based-on-mutual-information-1509.07577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-feature-selection-methods-based-on-mutual-information-1509.07577"/></url>
<url><loc>https://scifaro.com/en/abs/online-stochastic-linear-optimization-under-one-bit-feedback-1509.07728</loc><lastmod>2015-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-stochastic-linear-optimization-under-one-bit-feedback-1509.07728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-stochastic-linear-optimization-under-one-bit-feedback-1509.07728"/></url>
<url><loc>https://scifaro.com/en/abs/a-mathematical-theory-for-clustering-in-metric-spaces-1509.07755</loc><lastmod>2016-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mathematical-theory-for-clustering-in-metric-spaces-1509.07755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mathematical-theory-for-clustering-in-metric-spaces-1509.07755"/></url>
<url><loc>https://scifaro.com/en/abs/evasion-and-hardening-of-tree-ensemble-classifiers-1509.07892</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evasion-and-hardening-of-tree-ensemble-classifiers-1509.07892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evasion-and-hardening-of-tree-ensemble-classifiers-1509.07892"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-for-linear-bandits-on-polyhedral-sets-1509.07927</loc><lastmod>2015-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-linear-bandits-on-polyhedral-sets-1509.07927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-linear-bandits-on-polyhedral-sets-1509.07927"/></url>
<url><loc>https://scifaro.com/en/abs/super-resolution-off-the-grid-1509.07943</loc><lastmod>2015-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/super-resolution-off-the-grid-1509.07943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/super-resolution-off-the-grid-1509.07943"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-text-dependent-speaker-verification-1509.08062</loc><lastmod>2015-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-text-dependent-speaker-verification-1509.08062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-text-dependent-speaker-verification-1509.08062"/></url>
<url><loc>https://scifaro.com/en/abs/representation-benefits-of-deep-feedforward-networks-1509.08101</loc><lastmod>2015-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-benefits-of-deep-feedforward-networks-1509.08101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-benefits-of-deep-feedforward-networks-1509.08101"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-learning-of-the-prototype-set-for-nearest-neighbor-classification-1509.08102</loc><lastmod>2018-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-learning-of-the-prototype-set-for-nearest-neighbor-classification-1509.08102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-learning-of-the-prototype-set-for-nearest-neighbor-classification-1509.08102"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-for-classification-of-hyperspectral-data-by-minimizing-a-tight-bound-on-the-vc-dimension-1509.08112</loc><lastmod>2015-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-for-classification-of-hyperspectral-data-by-minimizing-a-tight-bound-on-the-vc-dimension-1509.08112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-for-classification-of-hyperspectral-data-by-minimizing-a-tight-bound-on-the-vc-dimension-1509.08112"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-copula-transport-for-clustering-multivariate-time-series-1509.08144</loc><lastmod>2016-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-copula-transport-for-clustering-multivariate-time-series-1509.08144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-copula-transport-for-clustering-multivariate-time-series-1509.08144"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-time-series-prediction-with-missing-values-1509.08333</loc><lastmod>2016-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-time-series-prediction-with-missing-values-1509.08333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-time-series-prediction-with-missing-values-1509.08333"/></url>
<url><loc>https://scifaro.com/en/abs/semantics-representations-and-grammars-for-deep-learning-1509.08627</loc><lastmod>2015-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantics-representations-and-grammars-for-deep-learning-1509.08627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantics-representations-and-grammars-for-deep-learning-1509.08627"/></url>
<url><loc>https://scifaro.com/en/abs/compression-of-deep-neural-networks-on-the-fly-1509.08745</loc><lastmod>2016-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compression-of-deep-neural-networks-on-the-fly-1509.08745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compression-of-deep-neural-networks-on-the-fly-1509.08745"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-formulate-and-solve-statistical-recognition-and-learning-problems-1509.08830</loc><lastmod>2015-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-formulate-and-solve-statistical-recognition-and-learning-problems-1509.08830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-formulate-and-solve-statistical-recognition-and-learning-problems-1509.08830"/></url>
<url><loc>https://scifaro.com/en/abs/a-semi-supervised-method-for-predicting-cancer-survival-using-incomplete-clinical-data-1509.08888</loc><lastmod>2015-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-semi-supervised-method-for-predicting-cancer-survival-using-incomplete-clinical-data-1509.08888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-semi-supervised-method-for-predicting-cancer-survival-using-incomplete-clinical-data-1509.08888"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-likelihood-learning-with-arbitrary-treewidth-via-fast-mixing-parameter-sets-1509.08992</loc><lastmod>2015-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-likelihood-learning-with-arbitrary-treewidth-via-fast-mixing-parameter-sets-1509.08992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-likelihood-learning-with-arbitrary-treewidth-via-fast-mixing-parameter-sets-1509.08992"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-stochastic-gradient-descent-for-pca-1509.09002</loc><lastmod>2016-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-stochastic-gradient-descent-for-pca-1509.09002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-stochastic-gradient-descent-for-pca-1509.09002"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-weighted-parameter-averaging-for-svm-training-on-big-data-1509.09030</loc><lastmod>2015-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-weighted-parameter-averaging-for-svm-training-on-big-data-1509.09030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-weighted-parameter-averaging-for-svm-training-on-big-data-1509.09030"/></url>
<url><loc>https://scifaro.com/en/abs/deep-haar-scattering-networks-1509.09187</loc><lastmod>2015-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-haar-scattering-networks-1509.09187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-haar-scattering-networks-1509.09187"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-complexity-of-robust-pca-and-ell-1-norm-low-rank-matrix-approximation-1509.09236</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-complexity-of-robust-pca-and-ell-1-norm-low-rank-matrix-approximation-1509.09236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-complexity-of-robust-pca-and-ell-1-norm-low-rank-matrix-approximation-1509.09236"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-networks-on-graphs-for-learning-molecular-fingerprints-1509.09292</loc><lastmod>2015-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-networks-on-graphs-for-learning-molecular-fingerprints-1509.09292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-networks-on-graphs-for-learning-molecular-fingerprints-1509.09292"/></url>
<url><loc>https://scifaro.com/en/abs/clamping-improves-trw-and-mean-field-approximations-1510.00087</loc><lastmod>2015-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clamping-improves-trw-and-mean-field-approximations-1510.00087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clamping-improves-trw-and-mean-field-approximations-1510.00087"/></url>
<url><loc>https://scifaro.com/en/abs/supporting-regularized-logistic-regression-privately-and-efficiently-1510.00095</loc><lastmod>2016-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supporting-regularized-logistic-regression-privately-and-efficiently-1510.00095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supporting-regularized-logistic-regression-privately-and-efficiently-1510.00095"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-binary-classifier-aggregation-for-general-losses-1510.00452</loc><lastmod>2016-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-binary-classifier-aggregation-for-general-losses-1510.00452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-binary-classifier-aggregation-for-general-losses-1510.00452"/></url>
<url><loc>https://scifaro.com/en/abs/multi-armed-bandits-with-application-to-5g-small-cells-1510.00627</loc><lastmod>2016-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-armed-bandits-with-application-to-5g-small-cells-1510.00627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-armed-bandits-with-application-to-5g-small-cells-1510.00627"/></url>
<url><loc>https://scifaro.com/en/abs/rapidly-mixing-gibbs-sampling-for-a-class-of-factor-graphs-using-hierarchy-width-1510.00756</loc><lastmod>2015-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapidly-mixing-gibbs-sampling-for-a-class-of-factor-graphs-using-hierarchy-width-1510.00756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapidly-mixing-gibbs-sampling-for-a-class-of-factor-graphs-using-hierarchy-width-1510.00756"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-machine-data-from-a-cati-network-1510.00772</loc><lastmod>2015-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-machine-data-from-a-cati-network-1510.00772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-machine-data-from-a-cati-network-1510.00772"/></url>
<url><loc>https://scifaro.com/en/abs/client-profiling-for-an-anti-money-laundering-system-1510.00878</loc><lastmod>2016-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/client-profiling-for-an-anti-money-laundering-system-1510.00878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/client-profiling-for-an-anti-money-laundering-system-1510.00878"/></url>
<url><loc>https://scifaro.com/en/abs/cross-device-tracking-matching-devices-and-cookies-1510.01175</loc><lastmod>2016-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-device-tracking-matching-devices-and-cookies-1510.01175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-device-tracking-matching-devices-and-cookies-1510.01175"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-via-approximation-of-log-likelihood-for-priors-in-exponential-family-1510.01225</loc><lastmod>2015-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-via-approximation-of-log-likelihood-for-priors-in-exponential-family-1510.01225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-via-approximation-of-log-likelihood-for-priors-in-exponential-family-1510.01225"/></url>
<url><loc>https://scifaro.com/en/abs/tight-variational-bounds-via-random-projections-and-i-projections-1510.01308</loc><lastmod>2015-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-variational-bounds-via-random-projections-and-i-projections-1510.01308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-variational-bounds-via-random-projections-and-i-projections-1510.01308"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-subgradient-methods-with-linear-convergence-for-polyhedral-convex-optimization-1510.01444</loc><lastmod>2016-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-subgradient-methods-with-linear-convergence-for-polyhedral-convex-optimization-1510.01444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-subgradient-methods-with-linear-convergence-for-polyhedral-convex-optimization-1510.01444"/></url>
<url><loc>https://scifaro.com/en/abs/population-contrastive-divergence-does-consistency-help-with-rbm-training-1510.01624</loc><lastmod>2017-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/population-contrastive-divergence-does-consistency-help-with-rbm-training-1510.01624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/population-contrastive-divergence-does-consistency-help-with-rbm-training-1510.01624"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-subspace-clustering-using-sketching-and-validation-1510.01628</loc><lastmod>2015-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-subspace-clustering-using-sketching-and-validation-1510.01628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-subspace-clustering-using-sketching-and-validation-1510.01628"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-optimization-for-deep-cca-via-nonlinear-orthogonal-iterations-1510.02054</loc><lastmod>2015-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-optimization-for-deep-cca-via-nonlinear-orthogonal-iterations-1510.02054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-optimization-for-deep-cca-via-nonlinear-orthogonal-iterations-1510.02054"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-analysis-of-sampling-based-estimators-for-evaluating-rbms-1510.02255</loc><lastmod>2015-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-analysis-of-sampling-based-estimators-for-evaluating-rbms-1510.02255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-analysis-of-sampling-based-estimators-for-evaluating-rbms-1510.02255"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-learning-in-a-deep-neural-network-via-oddball-stochastic-gradient-descent-1510.02442</loc><lastmod>2015-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-learning-in-a-deep-neural-network-via-oddball-stochastic-gradient-descent-1510.02442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-learning-in-a-deep-neural-network-via-oddball-stochastic-gradient-descent-1510.02442"/></url>
<url><loc>https://scifaro.com/en/abs/new-optimisation-methods-for-machine-learning-1510.02533</loc><lastmod>2016-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-optimisation-methods-for-machine-learning-1510.02533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-optimisation-methods-for-machine-learning-1510.02533"/></url>
<url><loc>https://scifaro.com/en/abs/technical-report-of-participation-in-higgs-boson-machine-learning-challenge-1510.02674</loc><lastmod>2015-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/technical-report-of-participation-in-higgs-boson-machine-learning-challenge-1510.02674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/technical-report-of-participation-in-higgs-boson-machine-learning-challenge-1510.02674"/></url>
<url><loc>https://scifaro.com/en/abs/early-inference-in-energy-based-models-approximates-back-propagation-1510.02777</loc><lastmod>2016-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-inference-in-energy-based-models-approximates-back-propagation-1510.02777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-inference-in-energy-based-models-approximates-back-propagation-1510.02777"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-definiteness-of-earth-mover-s-distance-and-its-relation-to-set-intersection-1510.02833</loc><lastmod>2018-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-definiteness-of-earth-mover-s-distance-and-its-relation-to-set-intersection-1510.02833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-definiteness-of-earth-mover-s-distance-and-its-relation-to-set-intersection-1510.02833"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-from-weak-and-strong-labelers-1510.02847</loc><lastmod>2015-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-from-weak-and-strong-labelers-1510.02847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-from-weak-and-strong-labelers-1510.02847"/></url>
<url><loc>https://scifaro.com/en/abs/atomnet-a-deep-convolutional-neural-network-for-bioactivity-prediction-in-structure-based-drug-discovery-1510.02855</loc><lastmod>2015-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/atomnet-a-deep-convolutional-neural-network-for-bioactivity-prediction-in-structure-based-drug-discovery-1510.02855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/atomnet-a-deep-convolutional-neural-network-for-bioactivity-prediction-in-structure-based-drug-discovery-1510.02855"/></url>
<url><loc>https://scifaro.com/en/abs/tseb-more-efficient-thompson-sampling-for-policy-learning-1510.02874</loc><lastmod>2015-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tseb-more-efficient-thompson-sampling-for-policy-learning-1510.02874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tseb-more-efficient-thompson-sampling-for-policy-learning-1510.02874"/></url>
<url><loc>https://scifaro.com/en/abs/survey-on-feature-selection-1510.02892</loc><lastmod>2015-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survey-on-feature-selection-1510.02892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survey-on-feature-selection-1510.02892"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-with-few-multiplications-1510.03009</loc><lastmod>2016-02-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-with-few-multiplications-1510.03009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-with-few-multiplications-1510.03009"/></url>
<url><loc>https://scifaro.com/en/abs/on-correcting-inputs-inverse-optimization-for-online-structured-prediction-1510.03130</loc><lastmod>2015-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-correcting-inputs-inverse-optimization-for-online-structured-prediction-1510.03130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-correcting-inputs-inverse-optimization-for-online-structured-prediction-1510.03130"/></url>
<url><loc>https://scifaro.com/en/abs/context-aware-bandits-1510.03164</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-aware-bandits-1510.03164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-aware-bandits-1510.03164"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-logical-uncertainty-and-the-benford-test-1510.03370</loc><lastmod>2015-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-logical-uncertainty-and-the-benford-test-1510.03370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-logical-uncertainty-and-the-benford-test-1510.03370"/></url>
<url><loc>https://scifaro.com/en/abs/ell-1-regularized-neural-networks-are-improperly-learnable-in-polynomial-time-1510.03528</loc><lastmod>2015-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ell-1-regularized-neural-networks-are-improperly-learnable-in-polynomial-time-1510.03528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ell-1-regularized-neural-networks-are-improperly-learnable-in-polynomial-time-1510.03528"/></url>
<url><loc>https://scifaro.com/en/abs/elastic-regularization-in-restricted-boltzmann-machines-dealing-with-p-gg-n-1510.03623</loc><lastmod>2015-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elastic-regularization-in-restricted-boltzmann-machines-dealing-with-p-gg-n-1510.03623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elastic-regularization-in-restricted-boltzmann-machines-dealing-with-p-gg-n-1510.03623"/></url>
<url><loc>https://scifaro.com/en/abs/adopting-robustness-and-optimality-in-fitting-and-learning-1510.03826</loc><lastmod>2023-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adopting-robustness-and-optimality-in-fitting-and-learning-1510.03826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adopting-robustness-and-optimality-in-fitting-and-learning-1510.03826"/></url>
<url><loc>https://scifaro.com/en/abs/online-markov-decision-processes-with-policy-iteration-1510.04454</loc><lastmod>2015-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-markov-decision-processes-with-policy-iteration-1510.04454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-markov-decision-processes-with-policy-iteration-1510.04454"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-vs-matrix-methods-robust-tensor-decomposition-under-block-sparse-perturbations-1510.04747</loc><lastmod>2016-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-vs-matrix-methods-robust-tensor-decomposition-under-block-sparse-perturbations-1510.04747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-vs-matrix-methods-robust-tensor-decomposition-under-block-sparse-perturbations-1510.04747"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-time-travel-in-deep-learning-space-an-introduction-to-deep-learning-models-and-how-deep-learning-models-evolved-from-the-initial-ideas-1510.04781</loc><lastmod>2015-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-time-travel-in-deep-learning-space-an-introduction-to-deep-learning-models-and-how-deep-learning-models-evolved-from-the-initial-ideas-1510.04781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-time-travel-in-deep-learning-space-an-introduction-to-deep-learning-models-and-how-deep-learning-models-evolved-from-the-initial-ideas-1510.04781"/></url>
<url><loc>https://scifaro.com/en/abs/quantification-in-the-wild-data-sets-and-baselines-1510.04811</loc><lastmod>2015-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantification-in-the-wild-data-sets-and-baselines-1510.04811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantification-in-the-wild-data-sets-and-baselines-1510.04811"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-mcmc-for-mixed-membership-stochastic-blockmodels-1510.04815</loc><lastmod>2015-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-mcmc-for-mixed-membership-stochastic-blockmodels-1510.04815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-mcmc-for-mixed-membership-stochastic-blockmodels-1510.04815"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-speed-of-response-of-learning-algorithms-using-multiple-models-1510.05034</loc><lastmod>2015-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-speed-of-response-of-learning-algorithms-using-multiple-models-1510.05034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-speed-of-response-of-learning-algorithms-using-multiple-models-1510.05034"/></url>
<url><loc>https://scifaro.com/en/abs/how-important-is-weight-symmetry-in-backpropagation-1510.05067</loc><lastmod>2016-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-important-is-weight-symmetry-in-backpropagation-1510.05067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-important-is-weight-symmetry-in-backpropagation-1510.05067"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-noisy-signals-with-structured-sparsity-using-time-frequency-representation-1510.05214</loc><lastmod>2015-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-noisy-signals-with-structured-sparsity-using-time-frequency-representation-1510.05214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-noisy-signals-with-structured-sparsity-using-time-frequency-representation-1510.05214"/></url>
<url><loc>https://scifaro.com/en/abs/large-enforced-sparse-non-negative-matrix-factorization-1510.05237</loc><lastmod>2016-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-enforced-sparse-non-negative-matrix-factorization-1510.05237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-enforced-sparse-non-negative-matrix-factorization-1510.05237"/></url>
<url><loc>https://scifaro.com/en/abs/accelerometer-based-activity-classification-with-variational-inference-on-sticky-hdp-slds-1510.05477</loc><lastmod>2015-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerometer-based-activity-classification-with-variational-inference-on-sticky-hdp-slds-1510.05477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerometer-based-activity-classification-with-variational-inference-on-sticky-hdp-slds-1510.05477"/></url>
<url><loc>https://scifaro.com/en/abs/adacluster-adaptive-clustering-for-heterogeneous-data-1510.05491</loc><lastmod>2017-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adacluster-adaptive-clustering-for-heterogeneous-data-1510.05491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adacluster-adaptive-clustering-for-heterogeneous-data-1510.05491"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-machine-learning-techniques-in-human-activity-recognition-1510.05577</loc><lastmod>2015-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-machine-learning-techniques-in-human-activity-recognition-1510.05577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-machine-learning-techniques-in-human-activity-recognition-1510.05577"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-ensemble-learning-with-dependent-classifiers-1510.05830</loc><lastmod>2016-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-ensemble-learning-with-dependent-classifiers-1510.05830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-ensemble-learning-with-dependent-classifiers-1510.05830"/></url>
<url><loc>https://scifaro.com/en/abs/transductive-optimization-of-top-k-precision-1510.05976</loc><lastmod>2015-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transductive-optimization-of-top-k-precision-1510.05976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transductive-optimization-of-top-k-precision-1510.05976"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-scalable-structural-svm-with-slack-rescaling-1510.06002</loc><lastmod>2015-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-scalable-structural-svm-with-slack-rescaling-1510.06002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-scalable-structural-svm-with-slack-rescaling-1510.06002"/></url>
<url><loc>https://scifaro.com/en/abs/robust-semi-supervised-classification-for-multi-relational-graphs-1510.06024</loc><lastmod>2015-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-semi-supervised-classification-for-multi-relational-graphs-1510.06024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-semi-supervised-classification-for-multi-relational-graphs-1510.06024"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-vs-relaxation-a-conic-optimization-perspective-of-statistical-variable-selection-1510.06083</loc><lastmod>2016-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-vs-relaxation-a-conic-optimization-perspective-of-statistical-variable-selection-1510.06083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-vs-relaxation-a-conic-optimization-perspective-of-statistical-variable-selection-1510.06083"/></url>
<url><loc>https://scifaro.com/en/abs/high-performance-latent-variable-models-1510.06143</loc><lastmod>2015-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-performance-latent-variable-models-1510.06143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-performance-latent-variable-models-1510.06143"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-conditional-gradient-analysis-of-convergence-and-applications-1510.06567</loc><lastmod>2015-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-conditional-gradient-analysis-of-convergence-and-applications-1510.06567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-conditional-gradient-analysis-of-convergence-and-applications-1510.06567"/></url>
<url><loc>https://scifaro.com/en/abs/a-gibbs-newton-technique-for-enhanced-inference-of-multivariate-polya-parameters-and-topic-models-1510.06646</loc><lastmod>2016-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gibbs-newton-technique-for-enhanced-inference-of-multivariate-polya-parameters-and-topic-models-1510.06646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gibbs-newton-technique-for-enhanced-inference-of-multivariate-polya-parameters-and-topic-models-1510.06646"/></url>
<url><loc>https://scifaro.com/en/abs/nonconvex-nonsmooth-low-rank-minimization-via-iteratively-reweighted-nuclear-norm-1510.06895</loc><lastmod>2016-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonconvex-nonsmooth-low-rank-minimization-via-iteratively-reweighted-nuclear-norm-1510.06895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonconvex-nonsmooth-low-rank-minimization-via-iteratively-reweighted-nuclear-norm-1510.06895"/></url>
<url><loc>https://scifaro.com/en/abs/fast-latent-variable-models-for-inference-and-visualization-on-mobile-devices-1510.07035</loc><lastmod>2015-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-latent-variable-models-for-inference-and-visualization-on-mobile-devices-1510.07035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-latent-variable-models-for-inference-and-visualization-on-mobile-devices-1510.07035"/></url>
<url><loc>https://scifaro.com/en/abs/vehicle-speed-prediction-using-deep-learning-1510.07208</loc><lastmod>2015-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vehicle-speed-prediction-using-deep-learning-1510.07208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vehicle-speed-prediction-using-deep-learning-1510.07208"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-distributed-deep-learning-layer-design-in-python-1510.07303</loc><lastmod>2015-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-distributed-deep-learning-layer-design-in-python-1510.07303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-distributed-deep-learning-layer-design-in-python-1510.07303"/></url>
<url><loc>https://scifaro.com/en/abs/the-human-kernel-1510.07389</loc><lastmod>2015-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-human-kernel-1510.07389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-human-kernel-1510.07389"/></url>
<url><loc>https://scifaro.com/en/abs/phenotyping-of-clinical-time-series-with-lstm-recurrent-neural-networks-1510.07641</loc><lastmod>2017-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phenotyping-of-clinical-time-series-with-lstm-recurrent-neural-networks-1510.07641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phenotyping-of-clinical-time-series-with-lstm-recurrent-neural-networks-1510.07641"/></url>
<url><loc>https://scifaro.com/en/abs/operator-valued-kernels-for-learning-from-functional-response-data-1510.08231</loc><lastmod>2016-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/operator-valued-kernels-for-learning-from-functional-response-data-1510.08231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/operator-valued-kernels-for-learning-from-functional-response-data-1510.08231"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-ell-0-graph-ell-0-induced-sparse-subspace-clustering-1510.08520</loc><lastmod>2015-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-ell-0-graph-ell-0-induced-sparse-subspace-clustering-1510.08520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-ell-0-graph-ell-0-induced-sparse-subspace-clustering-1510.08520"/></url>
<url><loc>https://scifaro.com/en/abs/the-singular-value-decomposition-applications-and-beyond-1510.08532</loc><lastmod>2015-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-singular-value-decomposition-applications-and-beyond-1510.08532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-singular-value-decomposition-applications-and-beyond-1510.08532"/></url>
<url><loc>https://scifaro.com/en/abs/ratm-recurrent-attentive-tracking-model-1510.08660</loc><lastmod>2016-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ratm-recurrent-attentive-tracking-model-1510.08660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ratm-recurrent-attentive-tracking-model-1510.08660"/></url>
<url><loc>https://scifaro.com/en/abs/how-good-is-good-enough-re-evaluating-the-bar-for-energy-disaggregation-1510.08713</loc><lastmod>2015-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-good-is-good-enough-re-evaluating-the-bar-for-energy-disaggregation-1510.08713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-good-is-good-enough-re-evaluating-the-bar-for-energy-disaggregation-1510.08713"/></url>
<url><loc>https://scifaro.com/en/abs/spiking-deep-networks-with-lif-neurons-1510.08829</loc><lastmod>2015-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spiking-deep-networks-with-lif-neurons-1510.08829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spiking-deep-networks-with-lif-neurons-1510.08829"/></url>
<url><loc>https://scifaro.com/en/abs/testing-visual-attention-in-dynamic-environments-1510.08949</loc><lastmod>2015-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-visual-attention-in-dynamic-environments-1510.08949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-visual-attention-in-dynamic-environments-1510.08949"/></url>
<url><loc>https://scifaro.com/en/abs/conquer-confusion-queried-online-bandit-learning-1510.08974</loc><lastmod>2016-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conquer-confusion-queried-online-bandit-learning-1510.08974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conquer-confusion-queried-online-bandit-learning-1510.08974"/></url>
<url><loc>https://scifaro.com/en/abs/learning-continuous-control-policies-by-stochastic-value-gradients-1510.09142</loc><lastmod>2015-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-continuous-control-policies-by-stochastic-value-gradients-1510.09142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-continuous-control-policies-by-stochastic-value-gradients-1510.09142"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-distributed-variational-inference-for-bayesian-nonparametrics-1510.09161</loc><lastmod>2015-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-distributed-variational-inference-for-bayesian-nonparametrics-1510.09161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-distributed-variational-inference-for-bayesian-nonparametrics-1510.09161"/></url>
<url><loc>https://scifaro.com/en/abs/the-pareto-regret-frontier-for-bandits-1511.00048</loc><lastmod>2015-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-pareto-regret-frontier-for-bandits-1511.00048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-pareto-regret-frontier-for-bandits-1511.00048"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-random-fields-1511.00054</loc><lastmod>2015-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-random-fields-1511.00054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-random-fields-1511.00054"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-probabilistic-predictors-with-and-without-guarantees-of-validity-1511.00213</loc><lastmod>2015-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-probabilistic-predictors-with-and-without-guarantees-of-validity-1511.00213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-probabilistic-predictors-with-and-without-guarantees-of-validity-1511.00213"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-semantic-scan-jointly-detecting-subtle-events-and-their-spatial-footprint-1511.00352</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-semantic-scan-jointly-detecting-subtle-events-and-their-spatial-footprint-1511.00352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-semantic-scan-jointly-detecting-subtle-events-and-their-spatial-footprint-1511.00352"/></url>
<url><loc>https://scifaro.com/en/abs/binaryconnect-training-deep-neural-networks-with-binary-weights-during-propagations-1511.00363</loc><lastmod>2016-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binaryconnect-training-deep-neural-networks-with-binary-weights-during-propagations-1511.00363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binaryconnect-training-deep-neural-networks-with-binary-weights-during-propagations-1511.00363"/></url>
<url><loc>https://scifaro.com/en/abs/submodular-functions-from-discrete-to-continous-domains-1511.00394</loc><lastmod>2016-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/submodular-functions-from-discrete-to-continous-domains-1511.00394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/submodular-functions-from-discrete-to-continous-domains-1511.00394"/></url>
<url><loc>https://scifaro.com/en/abs/toward-an-efficient-multi-class-classification-in-an-open-universe-1511.00725</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-an-efficient-multi-class-classification-in-an-open-universe-1511.00725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-an-efficient-multi-class-classification-in-an-open-universe-1511.00725"/></url>
<url><loc>https://scifaro.com/en/abs/protnn-fast-and-accurate-nearest-neighbor-protein-function-prediction-based-on-graph-embedding-in-structural-and-topological-space-1511.00736</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/protnn-fast-and-accurate-nearest-neighbor-protein-function-prediction-based-on-graph-embedding-in-structural-and-topological-space-1511.00736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/protnn-fast-and-accurate-nearest-neighbor-protein-function-prediction-based-on-graph-embedding-in-structural-and-topological-space-1511.00736"/></url>
<url><loc>https://scifaro.com/en/abs/fast-collaborative-filtering-from-implicit-feedback-with-provable-guarantees-1511.00792</loc><lastmod>2016-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-collaborative-filtering-from-implicit-feedback-with-provable-guarantees-1511.00792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-collaborative-filtering-from-implicit-feedback-with-provable-guarantees-1511.00792"/></url>
<url><loc>https://scifaro.com/en/abs/data-stream-classification-using-random-feature-functions-and-novel-method-combinations-1511.00971</loc><lastmod>2015-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-stream-classification-using-random-feature-functions-and-novel-method-combinations-1511.00971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-stream-classification-using-random-feature-functions-and-novel-method-combinations-1511.00971"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-symmetries-in-deep-networks-1511.01029</loc><lastmod>2015-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-symmetries-in-deep-networks-1511.01029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-symmetries-in-deep-networks-1511.01029"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-deep-learning-for-question-answering-1511.01158</loc><lastmod>2016-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-deep-learning-for-question-answering-1511.01158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-deep-learning-for-question-answering-1511.01158"/></url>
<url><loc>https://scifaro.com/en/abs/adaqn-an-adaptive-quasi-newton-algorithm-for-training-rnns-1511.01169</loc><lastmod>2016-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaqn-an-adaptive-quasi-newton-algorithm-for-training-rnns-1511.01169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaqn-an-adaptive-quasi-newton-algorithm-for-training-rnns-1511.01169"/></url>
<url><loc>https://scifaro.com/en/abs/learn-on-source-refine-on-target-a-model-transfer-learning-framework-with-random-forests-1511.01258</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-on-source-refine-on-target-a-model-transfer-learning-framework-with-random-forests-1511.01258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-on-source-refine-on-target-a-model-transfer-learning-framework-with-random-forests-1511.01258"/></url>
<url><loc>https://scifaro.com/en/abs/factorizing-lambdamart-for-cold-start-recommendations-1511.01282</loc><lastmod>2015-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factorizing-lambdamart-for-cold-start-recommendations-1511.01282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factorizing-lambdamart-for-cold-start-recommendations-1511.01282"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-sequence-learning-1511.01432</loc><lastmod>2015-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-sequence-learning-1511.01432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-sequence-learning-1511.01432"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-approximation-of-weighted-tree-automata-1511.01442</loc><lastmod>2015-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-approximation-of-weighted-tree-automata-1511.01442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-approximation-of-weighted-tree-automata-1511.01442"/></url>
<url><loc>https://scifaro.com/en/abs/mean-field-inference-of-hawkes-point-processes-1511.01512</loc><lastmod>2016-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-field-inference-of-hawkes-point-processes-1511.01512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-field-inference-of-hawkes-point-processes-1511.01512"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-proximal-gradient-descent-for-nuclear-norm-regularization-1511.01664</loc><lastmod>2015-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-proximal-gradient-descent-for-nuclear-norm-regularization-1511.01664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-proximal-gradient-descent-for-nuclear-norm-regularization-1511.01664"/></url>
<url><loc>https://scifaro.com/en/abs/symmetry-invariant-optimization-in-deep-networks-1511.01754</loc><lastmod>2015-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetry-invariant-optimization-in-deep-networks-1511.01754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetry-invariant-optimization-in-deep-networks-1511.01754"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-r-enyi-classifiers-1511.01764</loc><lastmod>2015-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-r-enyi-classifiers-1511.01764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-r-enyi-classifiers-1511.01764"/></url>
<url><loc>https://scifaro.com/en/abs/computational-intractability-of-dictionary-learning-for-sparse-representation-1511.01776</loc><lastmod>2015-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-intractability-of-dictionary-learning-for-sparse-representation-1511.01776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-intractability-of-dictionary-learning-for-sparse-representation-1511.01776"/></url>
<url><loc>https://scifaro.com/en/abs/thoughts-on-massively-scalable-gaussian-processes-1511.01870</loc><lastmod>2015-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thoughts-on-massively-scalable-gaussian-processes-1511.01870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thoughts-on-massively-scalable-gaussian-processes-1511.01870"/></url>
<url><loc>https://scifaro.com/en/abs/stop-wasting-my-gradients-practical-svrg-1511.01942</loc><lastmod>2016-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stop-wasting-my-gradients-practical-svrg-1511.01942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stop-wasting-my-gradients-practical-svrg-1511.01942"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-better-understanding-of-predict-and-count-models-1511.02024</loc><lastmod>2015-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-better-understanding-of-predict-and-count-models-1511.02024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-better-understanding-of-predict-and-count-models-1511.02024"/></url>
<url><loc>https://scifaro.com/en/abs/aloja-ml-a-framework-for-automating-characterization-and-knowledge-discovery-in-hadoop-deployments-1511.02030</loc><lastmod>2015-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aloja-ml-a-framework-for-automating-characterization-and-knowledge-discovery-in-hadoop-deployments-1511.02030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aloja-ml-a-framework-for-automating-characterization-and-knowledge-discovery-in-hadoop-deployments-1511.02030"/></url>
<url><loc>https://scifaro.com/en/abs/aloja-a-framework-for-benchmarking-and-predictive-analytics-in-big-data-deployments-1511.02037</loc><lastmod>2015-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aloja-a-framework-for-benchmarking-and-predictive-analytics-in-big-data-deployments-1511.02037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aloja-a-framework-for-benchmarking-and-predictive-analytics-in-big-data-deployments-1511.02037"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-convolutional-neural-networks-1511.02136</loc><lastmod>2016-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-convolutional-neural-networks-1511.02136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-convolutional-neural-networks-1511.02136"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-protein-protein-interaction-predictors-with-a-novel-3-dimensional-metric-1511.02196</loc><lastmod>2015-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-protein-protein-interaction-predictors-with-a-novel-3-dimensional-metric-1511.02196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-protein-protein-interaction-predictors-with-a-novel-3-dimensional-metric-1511.02196"/></url>
<url><loc>https://scifaro.com/en/abs/deep-kernel-learning-1511.02222</loc><lastmod>2015-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-kernel-learning-1511.02222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-kernel-learning-1511.02222"/></url>
<url><loc>https://scifaro.com/en/abs/active-perceptual-similarity-modeling-with-auxiliary-information-1511.02254</loc><lastmod>2015-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-perceptual-similarity-modeling-with-auxiliary-information-1511.02254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-perceptual-similarity-modeling-with-auxiliary-information-1511.02254"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-multiscale-gaussian-process-regression-using-hierarchical-clustering-1511.02258</loc><lastmod>2016-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-multiscale-gaussian-process-regression-using-hierarchical-clustering-1511.02258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-multiscale-gaussian-process-regression-using-hierarchical-clustering-1511.02258"/></url>
<url><loc>https://scifaro.com/en/abs/stacked-attention-networks-for-image-question-answering-1511.02274</loc><lastmod>2016-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stacked-attention-networks-for-image-question-answering-1511.02274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stacked-attention-networks-for-image-question-answering-1511.02274"/></url>
<url><loc>https://scifaro.com/en/abs/performance-analysis-of-multiclass-support-vector-machine-classification-for-diagnosis-of-coronary-heart-diseases-1511.02352</loc><lastmod>2015-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-analysis-of-multiclass-support-vector-machine-classification-for-diagnosis-of-coronary-heart-diseases-1511.02352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-analysis-of-multiclass-support-vector-machine-classification-for-diagnosis-of-coronary-heart-diseases-1511.02352"/></url>
<url><loc>https://scifaro.com/en/abs/max-sum-diversification-monotone-submodular-functions-and-semi-metric-spaces-1511.02402</loc><lastmod>2015-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-sum-diversification-monotone-submodular-functions-and-semi-metric-spaces-1511.02402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-sum-diversification-monotone-submodular-functions-and-semi-metric-spaces-1511.02402"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-stability-for-adaptive-data-analysis-1511.02513</loc><lastmod>2015-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-stability-for-adaptive-data-analysis-1511.02513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-stability-for-adaptive-data-analysis-1511.02513"/></url>
<url><loc>https://scifaro.com/en/abs/how-far-can-we-go-without-convolution-improving-fully-connected-networks-1511.02580</loc><lastmod>2015-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-far-can-we-go-without-convolution-improving-fully-connected-networks-1511.02580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-far-can-we-go-without-convolution-improving-fully-connected-networks-1511.02580"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-relaxation-approach-to-normalized-hypergraph-cut-1511.02595</loc><lastmod>2015-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-relaxation-approach-to-normalized-hypergraph-cut-1511.02595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-relaxation-approach-to-normalized-hypergraph-cut-1511.02595"/></url>
<url><loc>https://scifaro.com/en/abs/decomposition-bounds-for-marginal-map-1511.02619</loc><lastmod>2015-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decomposition-bounds-for-marginal-map-1511.02619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decomposition-bounds-for-marginal-map-1511.02619"/></url>
<url><loc>https://scifaro.com/en/abs/generating-images-from-captions-with-attention-1511.02793</loc><lastmod>2016-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-images-from-captions-with-attention-1511.02793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-images-from-captions-with-attention-1511.02793"/></url>
<url><loc>https://scifaro.com/en/abs/neighbourhood-nilm-a-big-data-approach-to-household-energy-disaggregation-1511.02900</loc><lastmod>2015-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neighbourhood-nilm-a-big-data-approach-to-household-energy-disaggregation-1511.02900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neighbourhood-nilm-a-big-data-approach-to-household-energy-disaggregation-1511.02900"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-construction-of-local-parametric-reduced-order-models-using-machine-learning-techniques-1511.02909</loc><lastmod>2015-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-construction-of-local-parametric-reduced-order-models-using-machine-learning-techniques-1511.02909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-construction-of-local-parametric-reduced-order-models-using-machine-learning-techniques-1511.02909"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-a-strong-adversary-1511.03034</loc><lastmod>2016-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-a-strong-adversary-1511.03034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-a-strong-adversary-1511.03034"/></url>
<url><loc>https://scifaro.com/en/abs/the-ctu-prague-relational-learning-repository-1511.03086</loc><lastmod>2025-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-ctu-prague-relational-learning-repository-1511.03086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-ctu-prague-relational-learning-repository-1511.03086"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-tuning-from-temporal-coherence-1511.03163</loc><lastmod>2016-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-tuning-from-temporal-coherence-1511.03163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-tuning-from-temporal-coherence-1511.03163"/></url>
<url><loc>https://scifaro.com/en/abs/sliced-wasserstein-kernels-for-probability-distributions-1511.03198</loc><lastmod>2015-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sliced-wasserstein-kernels-for-probability-distributions-1511.03198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sliced-wasserstein-kernels-for-probability-distributions-1511.03198"/></url>
<url><loc>https://scifaro.com/en/abs/label-efficient-learning-by-exploiting-multi-class-output-codes-1511.03225</loc><lastmod>2016-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-efficient-learning-by-exploiting-multi-class-output-codes-1511.03225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-efficient-learning-by-exploiting-multi-class-output-codes-1511.03225"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-latent-semantic-mapping-for-automated-topic-generation-1511.03546</loc><lastmod>2015-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-latent-semantic-mapping-for-automated-topic-generation-1511.03546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-latent-semantic-mapping-for-automated-topic-generation-1511.03546"/></url>
<url><loc>https://scifaro.com/en/abs/federated-optimization-distributed-optimization-beyond-the-datacenter-1511.03575</loc><lastmod>2015-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-optimization-distributed-optimization-beyond-the-datacenter-1511.03575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-optimization-distributed-optimization-beyond-the-datacenter-1511.03575"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-diagnose-with-lstm-recurrent-neural-networks-1511.03677</loc><lastmod>2017-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-diagnose-with-lstm-recurrent-neural-networks-1511.03677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-diagnose-with-lstm-recurrent-neural-networks-1511.03677"/></url>
<url><loc>https://scifaro.com/en/abs/universum-prescription-regularization-using-unlabeled-data-1511.03719</loc><lastmod>2016-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universum-prescription-regularization-using-unlabeled-data-1511.03719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universum-prescription-regularization-using-unlabeled-data-1511.03719"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-robust-off-policy-value-evaluation-for-reinforcement-learning-1511.03722</loc><lastmod>2016-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-robust-off-policy-value-evaluation-for-reinforcement-learning-1511.03722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-robust-off-policy-value-evaluation-for-reinforcement-learning-1511.03722"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-learning-for-large-scale-and-high-dimensional-data-a-randomized-convex-concave-optimization-approach-1511.03766</loc><lastmod>2016-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-learning-for-large-scale-and-high-dimensional-data-a-randomized-convex-concave-optimization-approach-1511.03766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-learning-for-large-scale-and-high-dimensional-data-a-randomized-convex-concave-optimization-approach-1511.03766"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-optimal-sample-complexity-for-best-arm-identification-1511.03774</loc><lastmod>2016-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-optimal-sample-complexity-for-best-arm-identification-1511.03774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-optimal-sample-complexity-for-best-arm-identification-1511.03774"/></url>
<url><loc>https://scifaro.com/en/abs/towards-vision-based-deep-reinforcement-learning-for-robotic-motion-control-1511.03791</loc><lastmod>2015-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-vision-based-deep-reinforcement-learning-for-robotic-motion-control-1511.03791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-vision-based-deep-reinforcement-learning-for-robotic-motion-control-1511.03791"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-concept-drift-1511.03816</loc><lastmod>2016-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-concept-drift-1511.03816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-concept-drift-1511.03816"/></url>
<url><loc>https://scifaro.com/en/abs/feature-learning-based-deep-supervised-hashing-with-pairwise-labels-1511.03855</loc><lastmod>2016-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-learning-based-deep-supervised-hashing-with-pairwise-labels-1511.03855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-learning-based-deep-supervised-hashing-with-pairwise-labels-1511.03855"/></url>
<url><loc>https://scifaro.com/en/abs/learning-human-identity-from-motion-patterns-1511.03908</loc><lastmod>2016-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-human-identity-from-motion-patterns-1511.03908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-human-identity-from-motion-patterns-1511.03908"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-the-yield-of-enzymatic-synthesis-of-betulinic-acid-ester-using-artificial-neural-networks-and-support-vector-machine-1511.03984</loc><lastmod>2015-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-the-yield-of-enzymatic-synthesis-of-betulinic-acid-ester-using-artificial-neural-networks-and-support-vector-machine-1511.03984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-the-yield-of-enzymatic-synthesis-of-betulinic-acid-ester-using-artificial-neural-networks-and-support-vector-machine-1511.03984"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-methods-for-accurate-uwb-based-ranging-with-reduced-complexity-1511.04045</loc><lastmod>2015-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-methods-for-accurate-uwb-based-ranging-with-reduced-complexity-1511.04045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-methods-for-accurate-uwb-based-ranging-with-reduced-complexity-1511.04045"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-non-greedy-optimization-of-decision-trees-1511.04056</loc><lastmod>2015-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-non-greedy-optimization-of-decision-trees-1511.04056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-non-greedy-optimization-of-decision-trees-1511.04056"/></url>
<url><loc>https://scifaro.com/en/abs/action-recognition-using-visual-attention-1511.04119</loc><lastmod>2016-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/action-recognition-using-visual-attention-1511.04119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/action-recognition-using-visual-attention-1511.04119"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-quality-of-the-initial-basin-in-overspecified-neural-networks-1511.04210</loc><lastmod>2016-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-quality-of-the-initial-basin-in-overspecified-neural-networks-1511.04210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-quality-of-the-initial-basin-in-overspecified-neural-networks-1511.04210"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-sum-product-networks-for-tractable-inference-on-sequence-data-extended-version-1511.04412</loc><lastmod>2016-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-sum-product-networks-for-tractable-inference-on-sequence-data-extended-version-1511.04412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-sum-product-networks-for-tractable-inference-on-sequence-data-extended-version-1511.04412"/></url>
<url><loc>https://scifaro.com/en/abs/deepfool-a-simple-and-accurate-method-to-fool-deep-neural-networks-1511.04599</loc><lastmod>2016-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepfool-a-simple-and-accurate-method-to-fool-deep-neural-networks-1511.04599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepfool-a-simple-and-accurate-method-to-fool-deep-neural-networks-1511.04599"/></url>
<url><loc>https://scifaro.com/en/abs/deep-activity-recognition-models-with-triaxial-accelerometers-1511.04664</loc><lastmod>2016-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-activity-recognition-models-with-triaxial-accelerometers-1511.04664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-activity-recognition-models-with-triaxial-accelerometers-1511.04664"/></url>
<url><loc>https://scifaro.com/en/abs/robust-elastic-net-regression-1511.04690</loc><lastmod>2016-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-elastic-net-regression-1511.04690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-elastic-net-regression-1511.04690"/></url>
<url><loc>https://scifaro.com/en/abs/deep-linear-discriminant-analysis-1511.04707</loc><lastmod>2016-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-linear-discriminant-analysis-1511.04707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-linear-discriminant-analysis-1511.04707"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-approximate-kernel-canonical-correlation-analysis-1511.04773</loc><lastmod>2016-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-approximate-kernel-canonical-correlation-analysis-1511.04773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-approximate-kernel-canonical-correlation-analysis-1511.04773"/></url>
<url><loc>https://scifaro.com/en/abs/expressive-recommender-systems-through-normalized-nonnegative-models-1511.04775</loc><lastmod>2015-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expressive-recommender-systems-through-normalized-nonnegative-models-1511.04775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expressive-recommender-systems-through-normalized-nonnegative-models-1511.04775"/></url>
<url><loc>https://scifaro.com/en/abs/budget-online-multiple-kernel-learning-1511.04813</loc><lastmod>2015-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/budget-online-multiple-kernel-learning-1511.04813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/budget-online-multiple-kernel-learning-1511.04813"/></url>
<url><loc>https://scifaro.com/en/abs/neural-programmer-inducing-latent-programs-with-gradient-descent-1511.04834</loc><lastmod>2016-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-programmer-inducing-latent-programs-with-gradient-descent-1511.04834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-programmer-inducing-latent-programs-with-gradient-descent-1511.04834"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-canonical-correlation-analysis-1511.04839</loc><lastmod>2016-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-canonical-correlation-analysis-1511.04839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-canonical-correlation-analysis-1511.04839"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-transducer-1511.04868</loc><lastmod>2016-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-transducer-1511.04868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-transducer-1511.04868"/></url>
<url><loc>https://scifaro.com/en/abs/performing-highly-accurate-predictions-through-convolutional-networks-for-actual-telecommunication-challenges-1511.04906</loc><lastmod>2016-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performing-highly-accurate-predictions-through-convolutional-networks-for-actual-telecommunication-challenges-1511.04906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performing-highly-accurate-predictions-through-convolutional-networks-for-actual-telecommunication-challenges-1511.04906"/></url>
<url><loc>https://scifaro.com/en/abs/a-genetic-algorithm-to-discover-flexible-motifs-with-support-1511.04986</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-genetic-algorithm-to-discover-flexible-motifs-with-support-1511.04986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-genetic-algorithm-to-discover-flexible-motifs-with-support-1511.04986"/></url>
<url><loc>https://scifaro.com/en/abs/diversity-networks-neural-network-compression-using-determinantal-point-processes-1511.05077</loc><lastmod>2017-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversity-networks-neural-network-compression-using-determinantal-point-processes-1511.05077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversity-networks-neural-network-compression-using-determinantal-point-processes-1511.05077"/></url>
<url><loc>https://scifaro.com/en/abs/topic-modeling-of-behavioral-modes-using-sensor-data-1511.05082</loc><lastmod>2016-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topic-modeling-of-behavioral-modes-using-sensor-data-1511.05082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topic-modeling-of-behavioral-modes-using-sensor-data-1511.05082"/></url>
<url><loc>https://scifaro.com/en/abs/resolving-the-geometric-locus-dilemma-for-support-vector-learning-machines-1511.05102</loc><lastmod>2015-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resolving-the-geometric-locus-dilemma-for-support-vector-learning-machines-1511.05102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resolving-the-geometric-locus-dilemma-for-support-vector-learning-machines-1511.05102"/></url>
<url><loc>https://scifaro.com/en/abs/muprop-unbiased-backpropagation-for-stochastic-neural-networks-1511.05176</loc><lastmod>2016-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/muprop-unbiased-backpropagation-for-stochastic-neural-networks-1511.05176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/muprop-unbiased-backpropagation-for-stochastic-neural-networks-1511.05176"/></url>
<url><loc>https://scifaro.com/en/abs/binary-classifier-calibration-using-an-ensemble-of-near-isotonic-regression-models-1511.05191</loc><lastmod>2015-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-classifier-calibration-using-an-ensemble-of-near-isotonic-regression-models-1511.05191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-classifier-calibration-using-an-ensemble-of-near-isotonic-regression-models-1511.05191"/></url>
<url><loc>https://scifaro.com/en/abs/binary-embeddings-with-structured-hashed-projections-1511.05212</loc><lastmod>2016-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-embeddings-with-structured-hashed-projections-1511.05212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-embeddings-with-structured-hashed-projections-1511.05212"/></url>
<url><loc>https://scifaro.com/en/abs/reduced-precision-strategies-for-bounded-memory-in-deep-neural-nets-1511.05236</loc><lastmod>2016-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reduced-precision-strategies-for-bounded-memory-in-deep-neural-nets-1511.05236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reduced-precision-strategies-for-bounded-memory-in-deep-neural-nets-1511.05236"/></url>
<url><loc>https://scifaro.com/en/abs/an-extension-of-mcdiarmid-s-inequality-1511.05240</loc><lastmod>2024-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-extension-of-mcdiarmid-s-inequality-1511.05240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-extension-of-mcdiarmid-s-inequality-1511.05240"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-collaborative-ranking-with-push-at-top-1511.05266</loc><lastmod>2015-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-collaborative-ranking-with-push-at-top-1511.05266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-collaborative-ranking-with-push-at-top-1511.05266"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-interplay-of-network-structure-and-gradient-convergence-in-deep-learning-1511.05297</loc><lastmod>2017-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-interplay-of-network-structure-and-gradient-convergence-in-deep-learning-1511.05297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-interplay-of-network-structure-and-gradient-convergence-in-deep-learning-1511.05297"/></url>
<url><loc>https://scifaro.com/en/abs/constant-time-expected-similarity-estimation-using-stochastic-optimization-1511.05371</loc><lastmod>2015-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constant-time-expected-similarity-estimation-using-stochastic-optimization-1511.05371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constant-time-expected-similarity-estimation-using-stochastic-optimization-1511.05371"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multi-scale-video-prediction-beyond-mean-square-error-1511.05440</loc><lastmod>2016-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multi-scale-video-prediction-beyond-mean-square-error-1511.05440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multi-scale-video-prediction-beyond-mean-square-error-1511.05440"/></url>
<url><loc>https://scifaro.com/en/abs/gated-graph-sequence-neural-networks-1511.05493</loc><lastmod>2017-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gated-graph-sequence-neural-networks-1511.05493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gated-graph-sequence-neural-networks-1511.05493"/></url>
<url><loc>https://scifaro.com/en/abs/learning-neural-network-architectures-using-backpropagation-1511.05497</loc><lastmod>2016-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-neural-network-architectures-using-backpropagation-1511.05497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-neural-network-architectures-using-backpropagation-1511.05497"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-distributions-with-linearizing-belief-networks-1511.05622</loc><lastmod>2016-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-distributions-with-linearizing-belief-networks-1511.05622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-distributions-with-linearizing-belief-networks-1511.05622"/></url>
<url><loc>https://scifaro.com/en/abs/net2net-accelerating-learning-via-knowledge-transfer-1511.05641</loc><lastmod>2016-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/net2net-accelerating-learning-via-knowledge-transfer-1511.05641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/net2net-accelerating-learning-via-knowledge-transfer-1511.05641"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-autoencoders-1511.05644</loc><lastmod>2016-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-autoencoders-1511.05644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-autoencoders-1511.05644"/></url>
<url><loc>https://scifaro.com/en/abs/why-are-deep-nets-reversible-a-simple-theory-with-implications-for-training-1511.05653</loc><lastmod>2015-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-are-deep-nets-reversible-a-simple-theory-with-implications-for-training-1511.05653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-are-deep-nets-reversible-a-simple-theory-with-implications-for-training-1511.05653"/></url>
<url><loc>https://scifaro.com/en/abs/expressiveness-of-rectifier-networks-1511.05678</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expressiveness-of-rectifier-networks-1511.05678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expressiveness-of-rectifier-networks-1511.05678"/></url>
<url><loc>https://scifaro.com/en/abs/a-distribution-adaptive-framework-for-prediction-interval-estimation-using-nominal-variables-1511.05688</loc><lastmod>2015-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distribution-adaptive-framework-for-prediction-interval-estimation-using-nominal-variables-1511.05688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distribution-adaptive-framework-for-prediction-interval-estimation-using-nominal-variables-1511.05688"/></url>
<url><loc>https://scifaro.com/en/abs/complex-valued-gaussian-processes-for-regression-1511.05710</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complex-valued-gaussian-processes-for-regression-1511.05710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complex-valued-gaussian-processes-for-regression-1511.05710"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-learning-of-maximum-likelihood-model-for-optimization-of-complex-loss-function-1511.05743</loc><lastmod>2015-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-learning-of-maximum-likelihood-model-for-optimization-of-complex-loss-function-1511.05743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-learning-of-maximum-likelihood-model-for-optimization-of-complex-loss-function-1511.05743"/></url>
<url><loc>https://scifaro.com/en/abs/metric-learning-approach-for-graph-based-label-propagation-1511.05789</loc><lastmod>2016-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-learning-approach-for-graph-based-label-propagation-1511.05789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-learning-approach-for-graph-based-label-propagation-1511.05789"/></url>
<url><loc>https://scifaro.com/en/abs/censoring-representations-with-an-adversary-1511.05897</loc><lastmod>2016-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/censoring-representations-with-an-adversary-1511.05897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/censoring-representations-with-an-adversary-1511.05897"/></url>
<url><loc>https://scifaro.com/en/abs/seeding-k-means-using-method-of-moments-1511.05933</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seeding-k-means-using-method-of-moments-1511.05933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seeding-k-means-using-method-of-moments-1511.05933"/></url>
<url><loc>https://scifaro.com/en/abs/doctor-ai-predicting-clinical-events-via-recurrent-neural-networks-1511.05942</loc><lastmod>2016-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doctor-ai-predicting-clinical-events-via-recurrent-neural-networks-1511.05942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doctor-ai-predicting-clinical-events-via-recurrent-neural-networks-1511.05942"/></url>
<url><loc>https://scifaro.com/en/abs/unitary-group-invariant-kernels-and-features-from-transformed-unlabeled-data-1511.05943</loc><lastmod>2017-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unitary-group-invariant-kernels-and-features-from-transformed-unlabeled-data-1511.05943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unitary-group-invariant-kernels-and-features-from-transformed-unlabeled-data-1511.05943"/></url>
<url><loc>https://scifaro.com/en/abs/acdc-a-structured-efficient-linear-layer-1511.05946</loc><lastmod>2016-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/acdc-a-structured-efficient-linear-layer-1511.05946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/acdc-a-structured-efficient-linear-layer-1511.05946"/></url>
<url><loc>https://scifaro.com/en/abs/staleness-aware-async-sgd-for-distributed-deep-learning-1511.05950</loc><lastmod>2016-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/staleness-aware-async-sgd-for-distributed-deep-learning-1511.05950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/staleness-aware-async-sgd-for-distributed-deep-learning-1511.05950"/></url>
<url><loc>https://scifaro.com/en/abs/prioritized-experience-replay-1511.05952</loc><lastmod>2016-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prioritized-experience-replay-1511.05952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prioritized-experience-replay-1511.05952"/></url>
<url><loc>https://scifaro.com/en/abs/a-pilot-study-on-the-daily-control-capability-of-s-emg-prosthetic-hands-by-amputees-1511.06001</loc><lastmod>2015-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pilot-study-on-the-daily-control-capability-of-s-emg-prosthetic-hands-by-amputees-1511.06001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pilot-study-on-the-daily-control-capability-of-s-emg-prosthetic-hands-by-amputees-1511.06001"/></url>
<url><loc>https://scifaro.com/en/abs/studying-the-control-of-non-invasive-prosthetic-hands-over-large-time-spans-1511.06004</loc><lastmod>2015-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/studying-the-control-of-non-invasive-prosthetic-hands-over-large-time-spans-1511.06004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/studying-the-control-of-non-invasive-prosthetic-hands-over-large-time-spans-1511.06004"/></url>
<url><loc>https://scifaro.com/en/abs/regret-analysis-of-the-finite-horizon-gittins-index-strategy-for-multi-armed-bandits-1511.06014</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-analysis-of-the-finite-horizon-gittins-index-strategy-for-multi-armed-bandits-1511.06014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-analysis-of-the-finite-horizon-gittins-index-strategy-for-multi-armed-bandits-1511.06014"/></url>
<url><loc>https://scifaro.com/en/abs/what-objective-does-self-paced-learning-indeed-optimize-1511.06049</loc><lastmod>2016-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-objective-does-self-paced-learning-indeed-optimize-1511.06049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-objective-does-self-paced-learning-indeed-optimize-1511.06049"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-approach-for-phase-identification-in-smart-grids-using-graph-theory-and-principal-component-analysis-1511.06063</loc><lastmod>2016-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-approach-for-phase-identification-in-smart-grids-using-graph-theory-and-principal-component-analysis-1511.06063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-approach-for-phase-identification-in-smart-grids-using-graph-theory-and-principal-component-analysis-1511.06063"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-neural-networks-with-low-rank-regularization-1511.06067</loc><lastmod>2016-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-neural-networks-with-low-rank-regularization-1511.06067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-neural-networks-with-low-rank-regularization-1511.06067"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-overfitting-in-deep-networks-by-decorrelating-representations-1511.06068</loc><lastmod>2016-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-overfitting-in-deep-networks-by-decorrelating-representations-1511.06068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-overfitting-in-deep-networks-by-decorrelating-representations-1511.06068"/></url>
<url><loc>https://scifaro.com/en/abs/mediated-experts-for-deep-convolutional-networks-1511.06072</loc><lastmod>2015-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mediated-experts-for-deep-convolutional-networks-1511.06072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mediated-experts-for-deep-convolutional-networks-1511.06072"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-sequence-to-sequence-learning-1511.06114</loc><lastmod>2016-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-sequence-to-sequence-learning-1511.06114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-sequence-to-sequence-learning-1511.06114"/></url>
<url><loc>https://scifaro.com/en/abs/adjustable-bounded-rectifiers-towards-deep-binary-representations-1511.06201</loc><lastmod>2015-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adjustable-bounded-rectifiers-towards-deep-binary-representations-1511.06201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adjustable-bounded-rectifiers-towards-deep-binary-representations-1511.06201"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-sparse-representation-learning-and-applications-1511.06238</loc><lastmod>2016-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-sparse-representation-learning-and-applications-1511.06238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-sparse-representation-learning-and-applications-1511.06238"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-clustering-for-unsupervised-learning-1511.06241</loc><lastmod>2016-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-clustering-for-unsupervised-learning-1511.06241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-clustering-for-unsupervised-learning-1511.06241"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-online-user-behaviour-using-deep-learning-algorithms-1511.06247</loc><lastmod>2016-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-online-user-behaviour-using-deep-learning-algorithms-1511.06247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-online-user-behaviour-using-deep-learning-algorithms-1511.06247"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-modified-equations-and-adaptive-stochastic-gradient-algorithms-1511.06251</loc><lastmod>2017-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-modified-equations-and-adaptive-stochastic-gradient-algorithms-1511.06251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-modified-equations-and-adaptive-stochastic-gradient-algorithms-1511.06251"/></url>
<url><loc>https://scifaro.com/en/abs/asymmetrically-weighted-cca-and-hierarchical-kernel-sentence-embedding-for-image-text-retrieval-1511.06267</loc><lastmod>2016-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymmetrically-weighted-cca-and-hierarchical-kernel-sentence-embedding-for-image-text-retrieval-1511.06267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymmetrically-weighted-cca-and-hierarchical-kernel-sentence-embedding-for-image-text-retrieval-1511.06267"/></url>
<url><loc>https://scifaro.com/en/abs/neural-programmer-interpreters-1511.06279</loc><lastmod>2016-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-programmer-interpreters-1511.06279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-programmer-interpreters-1511.06279"/></url>
<url><loc>https://scifaro.com/en/abs/density-modeling-of-images-using-a-generalized-normalization-transformation-1511.06281</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-modeling-of-images-using-a-generalized-normalization-transformation-1511.06281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-modeling-of-images-using-a-generalized-normalization-transformation-1511.06281"/></url>
<url><loc>https://scifaro.com/en/abs/foveation-based-mechanisms-alleviate-adversarial-examples-1511.06292</loc><lastmod>2016-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/foveation-based-mechanisms-alleviate-adversarial-examples-1511.06292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/foveation-based-mechanisms-alleviate-adversarial-examples-1511.06292"/></url>
<url><loc>https://scifaro.com/en/abs/policy-distillation-1511.06295</loc><lastmod>2016-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-distillation-1511.06295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-distillation-1511.06295"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-computation-in-neural-networks-for-faster-models-1511.06297</loc><lastmod>2016-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-computation-in-neural-networks-for-faster-models-1511.06297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-computation-in-neural-networks-for-faster-models-1511.06297"/></url>
<url><loc>https://scifaro.com/en/abs/alternative-structures-for-character-level-rnns-1511.06303</loc><lastmod>2015-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternative-structures-for-character-level-rnns-1511.06303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternative-structures-for-character-level-rnns-1511.06303"/></url>
<url><loc>https://scifaro.com/en/abs/robust-convolutional-neural-networks-under-adversarial-noise-1511.06306</loc><lastmod>2016-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-convolutional-neural-networks-under-adversarial-noise-1511.06306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-convolutional-neural-networks-under-adversarial-noise-1511.06306"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-video-autoencoder-with-differentiable-memory-1511.06309</loc><lastmod>2016-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-video-autoencoder-with-differentiable-memory-1511.06309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-video-autoencoder-with-differentiable-memory-1511.06309"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-based-clustering-using-pairwise-constraints-1511.06321</loc><lastmod>2016-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-based-clustering-using-pairwise-constraints-1511.06321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-based-clustering-using-pairwise-constraints-1511.06321"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-regularized-discriminative-neural-networks-1511.06328</loc><lastmod>2016-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-regularized-discriminative-neural-networks-1511.06328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-regularized-discriminative-neural-networks-1511.06328"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-sum-of-outer-products-dictionary-learning-soup-dil-and-its-application-to-inverse-problems-1511.06333</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-sum-of-outer-products-dictionary-learning-soup-dil-and-its-application-to-inverse-problems-1511.06333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-sum-of-outer-products-dictionary-learning-soup-dil-and-its-application-to-inverse-problems-1511.06333"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-deep-embedding-for-clustering-analysis-1511.06335</loc><lastmod>2016-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-deep-embedding-for-clustering-analysis-1511.06335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-deep-embedding-for-clustering-analysis-1511.06335"/></url>
<url><loc>https://scifaro.com/en/abs/robust-classification-by-pre-conditioned-lasso-and-transductive-diffusion-component-analysis-1511.06340</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-classification-by-pre-conditioned-lasso-and-transductive-diffusion-component-analysis-1511.06340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-classification-by-pre-conditioned-lasso-and-transductive-diffusion-component-analysis-1511.06340"/></url>
<url><loc>https://scifaro.com/en/abs/actor-mimic-deep-multitask-and-transfer-reinforcement-learning-1511.06342</loc><lastmod>2016-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/actor-mimic-deep-multitask-and-transfer-reinforcement-learning-1511.06342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/actor-mimic-deep-multitask-and-transfer-reinforcement-learning-1511.06342"/></url>
<url><loc>https://scifaro.com/en/abs/online-batch-selection-for-faster-training-of-neural-networks-1511.06343</loc><lastmod>2016-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-batch-selection-for-faster-training-of-neural-networks-1511.06343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-batch-selection-for-faster-training-of-neural-networks-1511.06343"/></url>
<url><loc>https://scifaro.com/en/abs/how-much-data-is-needed-to-train-a-medical-image-deep-learning-system-to-achieve-necessary-high-accuracy-1511.06348</loc><lastmod>2016-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-much-data-is-needed-to-train-a-medical-image-deep-learning-system-to-achieve-necessary-high-accuracy-1511.06348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-much-data-is-needed-to-train-a-medical-image-deep-learning-system-to-achieve-necessary-high-accuracy-1511.06348"/></url>
<url><loc>https://scifaro.com/en/abs/generating-sentences-from-a-continuous-space-1511.06349</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-sentences-from-a-continuous-space-1511.06349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-sentences-from-a-continuous-space-1511.06349"/></url>
<url><loc>https://scifaro.com/en/abs/structured-prediction-energy-networks-1511.06350</loc><lastmod>2016-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-prediction-energy-networks-1511.06350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-prediction-energy-networks-1511.06350"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-using-complex-valued-nets-1511.06351</loc><lastmod>2015-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-using-complex-valued-nets-1511.06351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-using-complex-valued-nets-1511.06351"/></url>
<url><loc>https://scifaro.com/en/abs/frist-flipping-and-rotation-invariant-sparsifying-transform-learning-and-applications-1511.06359</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frist-flipping-and-rotation-invariant-sparsifying-transform-learning-and-applications-1511.06359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frist-flipping-and-rotation-invariant-sparsifying-transform-learning-and-applications-1511.06359"/></url>
<url><loc>https://scifaro.com/en/abs/order-embeddings-of-images-and-language-1511.06361</loc><lastmod>2016-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/order-embeddings-of-images-and-language-1511.06361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/order-embeddings-of-images-and-language-1511.06361"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-inference-in-occlusion-aware-generative-models-of-images-1511.06362</loc><lastmod>2016-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-inference-in-occlusion-aware-generative-models-of-images-1511.06362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-inference-in-occlusion-aware-generative-models-of-images-1511.06362"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-visual-structure-using-predictive-generative-networks-1511.06380</loc><lastmod>2016-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-visual-structure-using-predictive-generative-networks-1511.06380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-visual-structure-using-predictive-generative-networks-1511.06380"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-regularized-deep-neural-networks-using-adversarial-examples-1511.06381</loc><lastmod>2016-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-regularized-deep-neural-networks-using-adversarial-examples-1511.06381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-regularized-deep-neural-networks-using-adversarial-examples-1511.06381"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-refinement-of-the-approximate-posterior-for-directed-belief-networks-1511.06382</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-refinement-of-the-approximate-posterior-for-directed-belief-networks-1511.06382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-refinement-of-the-approximate-posterior-for-directed-belief-networks-1511.06382"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-gradient-regularization-family-for-adversarial-examples-1511.06385</loc><lastmod>2016-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-gradient-regularization-family-for-adversarial-examples-1511.06385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-gradient-regularization-family-for-adversarial-examples-1511.06385"/></url>
<url><loc>https://scifaro.com/en/abs/neural-random-access-machines-1511.06392</loc><lastmod>2016-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-random-access-machines-1511.06392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-random-access-machines-1511.06392"/></url>
<url><loc>https://scifaro.com/en/abs/fixed-point-quantization-of-deep-convolutional-networks-1511.06393</loc><lastmod>2016-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixed-point-quantization-of-deep-convolutional-networks-1511.06393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixed-point-quantization-of-deep-convolutional-networks-1511.06393"/></url>
<url><loc>https://scifaro.com/en/abs/denoising-criterion-for-variational-auto-encoding-framework-1511.06406</loc><lastmod>2016-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/denoising-criterion-for-variational-auto-encoding-framework-1511.06406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/denoising-criterion-for-variational-auto-encoding-framework-1511.06406"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-models-for-auditory-attention-in-multi-microphone-distance-speech-recognition-1511.06407</loc><lastmod>2016-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-models-for-auditory-attention-in-multi-microphone-distance-speech-recognition-1511.06407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-models-for-auditory-attention-in-multi-microphone-distance-speech-recognition-1511.06407"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-generate-images-with-perceptual-similarity-metrics-1511.06409</loc><lastmod>2017-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-generate-images-with-perceptual-similarity-metrics-1511.06409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-generate-images-with-perceptual-similarity-metrics-1511.06409"/></url>
<url><loc>https://scifaro.com/en/abs/better-computer-go-player-with-neural-network-and-long-term-prediction-1511.06410</loc><lastmod>2016-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-computer-go-player-with-neural-network-and-long-term-prediction-1511.06410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-computer-go-player-with-neural-network-and-long-term-prediction-1511.06410"/></url>
<url><loc>https://scifaro.com/en/abs/training-deep-neural-networks-via-direct-loss-minimization-1511.06411</loc><lastmod>2016-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-deep-neural-networks-via-direct-loss-minimization-1511.06411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-deep-neural-networks-via-direct-loss-minimization-1511.06411"/></url>
<url><loc>https://scifaro.com/en/abs/qbdc-query-by-dropout-committee-for-training-deep-supervised-architecture-1511.06412</loc><lastmod>2016-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qbdc-query-by-dropout-committee-for-training-deep-supervised-architecture-1511.06412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qbdc-query-by-dropout-committee-for-training-deep-supervised-architecture-1511.06412"/></url>
<url><loc>https://scifaro.com/en/abs/fast-parallel-same-gibbs-sampling-on-general-discrete-bayesian-networks-1511.06416</loc><lastmod>2015-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-parallel-same-gibbs-sampling-on-general-discrete-bayesian-networks-1511.06416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-parallel-same-gibbs-sampling-on-general-discrete-bayesian-networks-1511.06416"/></url>
<url><loc>https://scifaro.com/en/abs/binding-via-reconstruction-clustering-1511.06418</loc><lastmod>2016-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binding-via-reconstruction-clustering-1511.06418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binding-via-reconstruction-clustering-1511.06418"/></url>
<url><loc>https://scifaro.com/en/abs/deep-manifold-traversal-changing-labels-with-convolutional-features-1511.06421</loc><lastmod>2016-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-manifold-traversal-changing-labels-with-convolutional-features-1511.06421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-manifold-traversal-changing-labels-with-convolutional-features-1511.06421"/></url>
<url><loc>https://scifaro.com/en/abs/all-you-need-is-a-good-init-1511.06422</loc><lastmod>2016-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/all-you-need-is-a-good-init-1511.06422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/all-you-need-is-a-good-init-1511.06422"/></url>
<url><loc>https://scifaro.com/en/abs/a-controller-recognizer-framework-how-necessary-is-recognition-for-control-1511.06428</loc><lastmod>2016-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-controller-recognizer-framework-how-necessary-is-recognition-for-control-1511.06428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-controller-recognizer-framework-how-necessary-is-recognition-for-control-1511.06428"/></url>
<url><loc>https://scifaro.com/en/abs/patterns-for-learning-with-side-information-1511.06429</loc><lastmod>2016-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/patterns-for-learning-with-side-information-1511.06429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/patterns-for-learning-with-side-information-1511.06429"/></url>
<url><loc>https://scifaro.com/en/abs/deconstructing-the-ladder-network-architecture-1511.06430</loc><lastmod>2016-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deconstructing-the-ladder-network-architecture-1511.06430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deconstructing-the-ladder-network-architecture-1511.06430"/></url>
<url><loc>https://scifaro.com/en/abs/blending-lstms-into-cnns-1511.06433</loc><lastmod>2016-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blending-lstms-into-cnns-1511.06433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blending-lstms-into-cnns-1511.06433"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-representation-learning-with-deep-convolutional-generative-adversarial-networks-1511.06434</loc><lastmod>2016-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-representation-learning-with-deep-convolutional-generative-adversarial-networks-1511.06434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-representation-learning-with-deep-convolutional-generative-adversarial-networks-1511.06434"/></url>
<url><loc>https://scifaro.com/en/abs/comparative-study-of-deep-learning-software-frameworks-1511.06435</loc><lastmod>2016-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparative-study-of-deep-learning-software-frameworks-1511.06435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparative-study-of-deep-learning-software-frameworks-1511.06435"/></url>
<url><loc>https://scifaro.com/en/abs/towards-principled-unsupervised-learning-1511.06440</loc><lastmod>2015-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-principled-unsupervised-learning-1511.06440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-principled-unsupervised-learning-1511.06440"/></url>
<url><loc>https://scifaro.com/en/abs/fast-metric-learning-for-deep-neural-networks-1511.06442</loc><lastmod>2016-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-metric-learning-for-deep-neural-networks-1511.06442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-metric-learning-for-deep-neural-networks-1511.06442"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-matrix-factorization-1511.06443</loc><lastmod>2015-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-matrix-factorization-1511.06443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-matrix-factorization-1511.06443"/></url>
<url><loc>https://scifaro.com/en/abs/universal-halting-times-in-optimization-and-machine-learning-1511.06444</loc><lastmod>2018-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-halting-times-in-optimization-and-machine-learning-1511.06444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-halting-times-in-optimization-and-machine-learning-1511.06444"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-from-eeg-with-deep-recurrent-convolutional-neural-networks-1511.06448</loc><lastmod>2016-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-from-eeg-with-deep-recurrent-convolutional-neural-networks-1511.06448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-from-eeg-with-deep-recurrent-convolutional-neural-networks-1511.06448"/></url>
<url><loc>https://scifaro.com/en/abs/variational-auto-encoded-deep-gaussian-processes-1511.06455</loc><lastmod>2016-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-auto-encoded-deep-gaussian-processes-1511.06455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-auto-encoded-deep-gaussian-processes-1511.06455"/></url>
<url><loc>https://scifaro.com/en/abs/task-loss-estimation-for-sequence-prediction-1511.06456</loc><lastmod>2016-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-loss-estimation-for-sequence-prediction-1511.06456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-loss-estimation-for-sequence-prediction-1511.06456"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-via-rejection-filtering-1511.06458</loc><lastmod>2015-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-via-rejection-filtering-1511.06458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-via-rejection-filtering-1511.06458"/></url>
<url><loc>https://scifaro.com/en/abs/unitary-evolution-recurrent-neural-networks-1511.06464</loc><lastmod>2016-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unitary-evolution-recurrent-neural-networks-1511.06464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unitary-evolution-recurrent-neural-networks-1511.06464"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-energy-landscape-of-deep-networks-1511.06485</loc><lastmod>2017-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-energy-landscape-of-deep-networks-1511.06485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-energy-landscape-of-deep-networks-1511.06485"/></url>
<url><loc>https://scifaro.com/en/abs/resiliency-of-deep-neural-networks-under-quantization-1511.06488</loc><lastmod>2016-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resiliency-of-deep-neural-networks-under-quantization-1511.06488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resiliency-of-deep-neural-networks-under-quantization-1511.06488"/></url>
<url><loc>https://scifaro.com/en/abs/dueling-network-architectures-for-deep-reinforcement-learning-1511.06581</loc><lastmod>2016-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dueling-network-architectures-for-deep-reinforcement-learning-1511.06581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dueling-network-architectures-for-deep-reinforcement-learning-1511.06581"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-natural-particle-filter-1511.06603</loc><lastmod>2015-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-natural-particle-filter-1511.06603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-natural-particle-filter-1511.06603"/></url>
<url><loc>https://scifaro.com/en/abs/data-representation-and-compression-using-linear-programming-approximations-1511.06606</loc><lastmod>2016-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-representation-and-compression-using-linear-programming-approximations-1511.06606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-representation-and-compression-using-linear-programming-approximations-1511.06606"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-gaussian-processes-1511.06644</loc><lastmod>2016-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-gaussian-processes-1511.06644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-gaussian-processes-1511.06644"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-the-temporal-nature-of-human-behavior-for-demographics-prediction-1511.06660</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-the-temporal-nature-of-human-behavior-for-demographics-prediction-1511.06660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-the-temporal-nature-of-human-behavior-for-demographics-prediction-1511.06660"/></url>
<url><loc>https://scifaro.com/en/abs/l1-logistic-regression-as-a-feature-selection-step-for-training-stable-classification-trees-for-the-prediction-of-severity-criteria-in-imported-malaria-1511.06663</loc><lastmod>2015-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l1-logistic-regression-as-a-feature-selection-step-for-training-stable-classification-trees-for-the-prediction-of-severity-criteria-in-imported-malaria-1511.06663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l1-logistic-regression-as-a-feature-selection-step-for-training-stable-classification-trees-for-the-prediction-of-severity-criteria-in-imported-malaria-1511.06663"/></url>
<url><loc>https://scifaro.com/en/abs/top-n-recommendations-from-expressive-recommender-systems-1511.06718</loc><lastmod>2015-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/top-n-recommendations-from-expressive-recommender-systems-1511.06718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/top-n-recommendations-from-expressive-recommender-systems-1511.06718"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-gradient-based-tuning-of-continuous-regularization-hyperparameters-1511.06727</loc><lastmod>2016-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-gradient-based-tuning-of-continuous-regularization-hyperparameters-1511.06727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-gradient-based-tuning-of-continuous-regularization-hyperparameters-1511.06727"/></url>
<url><loc>https://scifaro.com/en/abs/sequence-level-training-with-recurrent-neural-networks-1511.06732</loc><lastmod>2016-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequence-level-training-with-recurrent-neural-networks-1511.06732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequence-level-training-with-recurrent-neural-networks-1511.06732"/></url>
<url><loc>https://scifaro.com/en/abs/data-dependent-path-normalization-in-neural-networks-1511.06747</loc><lastmod>2016-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-dependent-path-normalization-in-neural-networks-1511.06747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-dependent-path-normalization-in-neural-networks-1511.06747"/></url>
<url><loc>https://scifaro.com/en/abs/learning-visual-groups-from-co-occurrences-in-space-and-time-1511.06811</loc><lastmod>2015-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-visual-groups-from-co-occurrences-in-space-and-time-1511.06811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-visual-groups-from-co-occurrences-in-space-and-time-1511.06811"/></url>
<url><loc>https://scifaro.com/en/abs/gradnets-dynamic-interpolation-between-neural-architectures-1511.06827</loc><lastmod>2015-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradnets-dynamic-interpolation-between-neural-architectures-1511.06827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradnets-dynamic-interpolation-between-neural-architectures-1511.06827"/></url>
<url><loc>https://scifaro.com/en/abs/online-sequence-training-of-recurrent-neural-networks-with-connectionist-temporal-classification-1511.06841</loc><lastmod>2017-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-sequence-training-of-recurrent-neural-networks-with-connectionist-temporal-classification-1511.06841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-sequence-training-of-recurrent-neural-networks-with-connectionist-temporal-classification-1511.06841"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-object-semantic-parts-from-internal-states-of-cnns-by-population-encoding-1511.06855</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-object-semantic-parts-from-internal-states-of-cnns-by-population-encoding-1511.06855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-object-semantic-parts-from-internal-states-of-cnns-by-population-encoding-1511.06855"/></url>
<url><loc>https://scifaro.com/en/abs/blackout-speeding-up-recurrent-neural-network-language-models-with-very-large-vocabularies-1511.06909</loc><lastmod>2016-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blackout-speeding-up-recurrent-neural-network-language-models-with-very-large-vocabularies-1511.06909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blackout-speeding-up-recurrent-neural-network-language-models-with-very-large-vocabularies-1511.06909"/></url>
<url><loc>https://scifaro.com/en/abs/session-based-recommendations-with-recurrent-neural-networks-1511.06939</loc><lastmod>2016-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/session-based-recommendations-with-recurrent-neural-networks-1511.06939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/session-based-recommendations-with-recurrent-neural-networks-1511.06939"/></url>
<url><loc>https://scifaro.com/en/abs/online-semi-supervised-learning-with-deep-hybrid-boltzmann-machines-and-denoising-autoencoders-1511.06964</loc><lastmod>2016-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-semi-supervised-learning-with-deep-hybrid-boltzmann-machines-and-denoising-autoencoders-1511.06964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-semi-supervised-learning-with-deep-hybrid-boltzmann-machines-and-denoising-autoencoders-1511.06964"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-road-surface-wetness-from-audio-a-deep-learning-approach-1511.07035</loc><lastmod>2015-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-road-surface-wetness-from-audio-a-deep-learning-approach-1511.07035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-road-surface-wetness-from-audio-a-deep-learning-approach-1511.07035"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-instance-learning-christoffel-function-approach-to-distribution-regression-problem-1511.07085</loc><lastmod>2015-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-instance-learning-christoffel-function-approach-to-distribution-regression-problem-1511.07085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-instance-learning-christoffel-function-approach-to-distribution-regression-problem-1511.07085"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-generalization-error-bounds-of-neural-networks-under-diversity-inducing-mutual-angular-regularization-1511.07110</loc><lastmod>2015-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-generalization-error-bounds-of-neural-networks-under-diversity-inducing-mutual-angular-regularization-1511.07110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-generalization-error-bounds-of-neural-networks-under-diversity-inducing-mutual-angular-regularization-1511.07110"/></url>
<url><loc>https://scifaro.com/en/abs/cascading-denoising-auto-encoder-as-a-deep-directed-generative-model-1511.07118</loc><lastmod>2017-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cascading-denoising-auto-encoder-as-a-deep-directed-generative-model-1511.07118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cascading-denoising-auto-encoder-as-a-deep-directed-generative-model-1511.07118"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-predictive-entropy-search-for-batch-global-optimization-of-expensive-objective-functions-1511.07130</loc><lastmod>2015-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-predictive-entropy-search-for-batch-global-optimization-of-expensive-objective-functions-1511.07130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-predictive-entropy-search-for-batch-global-optimization-of-expensive-objective-functions-1511.07130"/></url>
<url><loc>https://scifaro.com/en/abs/a-pac-approach-to-application-specific-algorithm-selection-1511.07147</loc><lastmod>2016-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pac-approach-to-application-specific-algorithm-selection-1511.07147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pac-approach-to-application-specific-algorithm-selection-1511.07147"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-accurate-deep-network-learning-by-exponential-linear-units-elus-1511.07289</loc><lastmod>2016-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-accurate-deep-network-learning-by-exponential-linear-units-elus-1511.07289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-accurate-deep-network-learning-by-exponential-linear-units-elus-1511.07289"/></url>
<url><loc>https://scifaro.com/en/abs/modular-autoencoders-for-ensemble-feature-extraction-1511.07340</loc><lastmod>2015-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modular-autoencoders-for-ensemble-feature-extraction-1511.07340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modular-autoencoders-for-ensemble-feature-extraction-1511.07340"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-two-level-boolean-rule-learning-for-classification-1511.07361</loc><lastmod>2015-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-two-level-boolean-rule-learning-for-classification-1511.07361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-two-level-boolean-rule-learning-for-classification-1511.07361"/></url>
<url><loc>https://scifaro.com/en/abs/mazebase-a-sandbox-for-learning-from-games-1511.07401</loc><lastmod>2016-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mazebase-a-sandbox-for-learning-from-games-1511.07401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mazebase-a-sandbox-for-learning-from-games-1511.07401"/></url>
<url><loc>https://scifaro.com/en/abs/weak-convergence-properties-of-constrained-emphatic-temporal-difference-learning-with-constant-and-slowly-diminishing-stepsize-1511.07471</loc><lastmod>2017-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weak-convergence-properties-of-constrained-emphatic-temporal-difference-learning-with-constant-and-slowly-diminishing-stepsize-1511.07471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weak-convergence-properties-of-constrained-emphatic-temporal-difference-learning-with-constant-and-slowly-diminishing-stepsize-1511.07471"/></url>
<url><loc>https://scifaro.com/en/abs/convergent-learning-do-different-neural-networks-learn-the-same-representations-1511.07543</loc><lastmod>2016-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergent-learning-do-different-neural-networks-learn-the-same-representations-1511.07543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergent-learning-do-different-neural-networks-learn-the-same-representations-1511.07543"/></url>
<url><loc>https://scifaro.com/en/abs/transductive-log-opinion-pool-of-gaussian-process-experts-1511.07551</loc><lastmod>2015-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transductive-log-opinion-pool-of-gaussian-process-experts-1511.07551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transductive-log-opinion-pool-of-gaussian-process-experts-1511.07551"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-capacity-networks-1511.07838</loc><lastmod>2016-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-capacity-networks-1511.07838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-capacity-networks-1511.07838"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-convolutional-neural-networks-for-diagnosis-from-lab-tests-1511.07938</loc><lastmod>2016-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-convolutional-neural-networks-for-diagnosis-from-lab-tests-1511.07938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-convolutional-neural-networks-for-diagnosis-from-lab-tests-1511.07938"/></url>
<url><loc>https://scifaro.com/en/abs/learning-halfspaces-and-neural-networks-with-random-initialization-1511.07948</loc><lastmod>2015-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-halfspaces-and-neural-networks-with-random-initialization-1511.07948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-halfspaces-and-neural-networks-with-random-initialization-1511.07948"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-correlation-between-labels-to-improve-multi-label-classification-1511.07953</loc><lastmod>2015-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-correlation-between-labels-to-improve-multi-label-classification-1511.07953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-correlation-between-labels-to-improve-multi-label-classification-1511.07953"/></url>
<url><loc>https://scifaro.com/en/abs/moocs-meet-measurement-theory-a-topic-modelling-approach-1511.07961</loc><lastmod>2015-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moocs-meet-measurement-theory-a-topic-modelling-approach-1511.07961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moocs-meet-measurement-theory-a-topic-modelling-approach-1511.07961"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-detect-video-events-from-zero-or-very-few-video-examples-1511.08032</loc><lastmod>2015-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-detect-video-events-from-zero-or-very-few-video-examples-1511.08032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-detect-video-events-from-zero-or-very-few-video-examples-1511.08032"/></url>
<url><loc>https://scifaro.com/en/abs/neural-gpus-learn-algorithms-1511.08228</loc><lastmod>2016-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-gpus-learn-algorithms-1511.08228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-gpus-learn-algorithms-1511.08228"/></url>
<url><loc>https://scifaro.com/en/abs/the-automatic-statistician-a-relational-perspective-1511.08343</loc><lastmod>2016-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-automatic-statistician-a-relational-perspective-1511.08343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-automatic-statistician-a-relational-perspective-1511.08343"/></url>
<url><loc>https://scifaro.com/en/abs/gains-and-losses-are-fundamentally-different-in-regret-minimization-the-sparse-case-1511.08405</loc><lastmod>2015-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gains-and-losses-are-fundamentally-different-in-regret-minimization-the-sparse-case-1511.08405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gains-and-losses-are-fundamentally-different-in-regret-minimization-the-sparse-case-1511.08405"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-machine-learning-via-sufficient-factor-broadcasting-1511.08486</loc><lastmod>2015-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-machine-learning-via-sufficient-factor-broadcasting-1511.08486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-machine-learning-via-sufficient-factor-broadcasting-1511.08486"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-truncated-lstd-1511.08495</loc><lastmod>2016-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-truncated-lstd-1511.08495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-truncated-lstd-1511.08495"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-em-algorithms-a-unified-framework-and-statistical-guarantees-1511.08551</loc><lastmod>2015-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-em-algorithms-a-unified-framework-and-statistical-guarantees-1511.08551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-em-algorithms-a-unified-framework-and-statistical-guarantees-1511.08551"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-cycle-detection-for-navigational-reinforcement-learning-1511.08724</loc><lastmod>2016-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-cycle-detection-for-navigational-reinforcement-learning-1511.08724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-cycle-detection-for-navigational-reinforcement-learning-1511.08724"/></url>
<url><loc>https://scifaro.com/en/abs/informative-data-projections-a-framework-and-two-examples-1511.08762</loc><lastmod>2015-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/informative-data-projections-a-framework-and-two-examples-1511.08762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/informative-data-projections-a-framework-and-two-examples-1511.08762"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-sum-of-outer-products-dictionary-learning-soup-dil-the-ell-0-method-1511.08842</loc><lastmod>2017-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-sum-of-outer-products-dictionary-learning-soup-dil-the-ell-0-method-1511.08842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-sum-of-outer-products-dictionary-learning-soup-dil-the-ell-0-method-1511.08842"/></url>
<url><loc>https://scifaro.com/en/abs/how-do-the-naive-bayes-classifier-and-the-support-vector-machine-compare-in-their-ability-to-forecast-the-stock-exchange-of-thailand-1511.08987</loc><lastmod>2015-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-do-the-naive-bayes-classifier-and-the-support-vector-machine-compare-in-their-ability-to-forecast-the-stock-exchange-of-thailand-1511.08987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-do-the-naive-bayes-classifier-and-the-support-vector-machine-compare-in-their-ability-to-forecast-the-stock-exchange-of-thailand-1511.08987"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-instance-learning-radon-nikodym-approach-to-distribution-regression-problem-1511.09058</loc><lastmod>2015-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-instance-learning-radon-nikodym-approach-to-distribution-regression-problem-1511.09058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-instance-learning-radon-nikodym-approach-to-distribution-regression-problem-1511.09058"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-and-accurate-online-feature-selection-for-big-data-1511.09263</loc><lastmod>2016-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-and-accurate-online-feature-selection-for-big-data-1511.09263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-and-accurate-online-feature-selection-for-big-data-1511.09263"/></url>
<url><loc>https://scifaro.com/en/abs/cost-aware-pre-training-for-multiclass-cost-sensitive-deep-learning-1511.09337</loc><lastmod>2016-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-aware-pre-training-for-multiclass-cost-sensitive-deep-learning-1511.09337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-aware-pre-training-for-multiclass-cost-sensitive-deep-learning-1511.09337"/></url>
<url><loc>https://scifaro.com/en/abs/decoding-hidden-markov-models-faster-than-viterbi-via-online-matrix-vector-max-multiplication-1512.00077</loc><lastmod>2015-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoding-hidden-markov-models-faster-than-viterbi-via-online-matrix-vector-max-multiplication-1512.00077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoding-hidden-markov-models-faster-than-viterbi-via-online-matrix-vector-max-multiplication-1512.00077"/></url>
<url><loc>https://scifaro.com/en/abs/learning-using-1-local-membership-queries-1512.00165</loc><lastmod>2015-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-using-1-local-membership-queries-1512.00165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-using-1-local-membership-queries-1512.00165"/></url>
<url><loc>https://scifaro.com/en/abs/mocice-bcubed-f-1-a-new-evaluation-measure-for-biclustering-algorithms-1512.00228</loc><lastmod>2017-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mocice-bcubed-f-1-a-new-evaluation-measure-for-biclustering-algorithms-1512.00228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mocice-bcubed-f-1-a-new-evaluation-measure-for-biclustering-algorithms-1512.00228"/></url>
<url><loc>https://scifaro.com/en/abs/towards-dropout-training-for-convolutional-neural-networks-1512.00242</loc><lastmod>2015-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-dropout-training-for-convolutional-neural-networks-1512.00242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-dropout-training-for-convolutional-neural-networks-1512.00242"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-applied-to-an-electric-water-heater-from-theory-to-practice-1512.00408</loc><lastmod>2015-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-applied-to-an-electric-water-heater-from-theory-to-practice-1512.00408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-applied-to-an-electric-water-heater-from-theory-to-practice-1512.00408"/></url>
<url><loc>https://scifaro.com/en/abs/attribute2image-conditional-image-generation-from-visual-attributes-1512.00570</loc><lastmod>2016-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attribute2image-conditional-image-generation-from-visual-attributes-1512.00570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attribute2image-conditional-image-generation-from-visual-attributes-1512.00570"/></url>
<url><loc>https://scifaro.com/en/abs/centroid-based-binary-tree-structured-svm-for-multi-classification-1512.00659</loc><lastmod>2015-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/centroid-based-binary-tree-structured-svm-for-multi-classification-1512.00659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/centroid-based-binary-tree-structured-svm-for-multi-classification-1512.00659"/></url>
<url><loc>https://scifaro.com/en/abs/recognizing-semantic-features-in-faces-using-deep-learning-1512.00743</loc><lastmod>2016-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recognizing-semantic-features-in-faces-using-deep-learning-1512.00743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recognizing-semantic-features-in-faces-using-deep-learning-1512.00743"/></url>
<url><loc>https://scifaro.com/en/abs/fixed-point-performance-analysis-of-recurrent-neural-networks-1512.01322</loc><lastmod>2016-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixed-point-performance-analysis-of-recurrent-neural-networks-1512.01322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixed-point-performance-analysis-of-recurrent-neural-networks-1512.01322"/></url>
<url><loc>https://scifaro.com/en/abs/max-pooling-dropout-for-regularization-of-convolutional-neural-networks-1512.01400</loc><lastmod>2015-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-pooling-dropout-for-regularization-of-convolutional-neural-networks-1512.01400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-pooling-dropout-for-regularization-of-convolutional-neural-networks-1512.01400"/></url>
<url><loc>https://scifaro.com/en/abs/state-of-the-art-control-of-atari-games-using-shallow-reinforcement-learning-1512.01563</loc><lastmod>2016-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-of-the-art-control-of-atari-games-using-shallow-reinforcement-learning-1512.01563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-of-the-art-control-of-atari-games-using-shallow-reinforcement-learning-1512.01563"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-approach-for-inductive-semi-supervised-learning-using-label-propagation-and-support-vector-machine-1512.01568</loc><lastmod>2015-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-approach-for-inductive-semi-supervised-learning-using-label-propagation-and-support-vector-machine-1512.01568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-approach-for-inductive-semi-supervised-learning-using-label-propagation-and-support-vector-machine-1512.01568"/></url>
<url><loc>https://scifaro.com/en/abs/deep-attention-recurrent-q-network-1512.01693</loc><lastmod>2015-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-attention-recurrent-q-network-1512.01693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-attention-recurrent-q-network-1512.01693"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduction-for-distributed-stochastic-gradient-descent-1512.01708</loc><lastmod>2017-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduction-for-distributed-stochastic-gradient-descent-1512.01708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduction-for-distributed-stochastic-gradient-descent-1512.01708"/></url>
<url><loc>https://scifaro.com/en/abs/similarity-learning-via-adaptive-regression-and-its-application-to-image-retrieval-1512.01728</loc><lastmod>2015-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/similarity-learning-via-adaptive-regression-and-its-application-to-image-retrieval-1512.01728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/similarity-learning-via-adaptive-regression-and-its-application-to-image-retrieval-1512.01728"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-distributed-semi-supervised-learning-using-streaming-approximation-1512.01752</loc><lastmod>2016-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-distributed-semi-supervised-learning-using-streaming-approximation-1512.01752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-distributed-semi-supervised-learning-using-streaming-approximation-1512.01752"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-reviews-and-ratings-with-paco-poisson-additive-co-clustering-1512.01845</loc><lastmod>2015-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-reviews-and-ratings-with-paco-poisson-additive-co-clustering-1512.01845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-reviews-and-ratings-with-paco-poisson-additive-co-clustering-1512.01845"/></url>
<url><loc>https://scifaro.com/en/abs/rademacher-complexity-of-the-restricted-boltzmann-machine-1512.01914</loc><lastmod>2015-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rademacher-complexity-of-the-restricted-boltzmann-machine-1512.01914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rademacher-complexity-of-the-restricted-boltzmann-machine-1512.01914"/></url>
<url><loc>https://scifaro.com/en/abs/thinking-required-1512.01926</loc><lastmod>2015-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thinking-required-1512.01926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thinking-required-1512.01926"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-approach-to-distributed-multi-class-svm-1512.01993</loc><lastmod>2015-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-approach-to-distributed-multi-class-svm-1512.01993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-approach-to-distributed-multi-class-svm-1512.01993"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-discount-deep-reinforcement-learning-towards-new-dynamic-strategies-1512.02011</loc><lastmod>2016-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-discount-deep-reinforcement-learning-towards-new-dynamic-strategies-1512.02011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-discount-deep-reinforcement-learning-towards-new-dynamic-strategies-1512.02011"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-nonparametric-latent-feature-relational-models-with-data-augmentation-1512.02016</loc><lastmod>2015-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-nonparametric-latent-feature-relational-models-with-data-augmentation-1512.02016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-nonparametric-latent-feature-relational-models-with-data-augmentation-1512.02016"/></url>
<url><loc>https://scifaro.com/en/abs/risk-minimization-in-structured-prediction-using-orbit-loss-1512.02033</loc><lastmod>2015-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-minimization-in-structured-prediction-using-orbit-loss-1512.02033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-minimization-in-structured-prediction-using-orbit-loss-1512.02033"/></url>
<url><loc>https://scifaro.com/en/abs/the-teaching-dimension-of-linear-learners-1512.02181</loc><lastmod>2015-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-teaching-dimension-of-linear-learners-1512.02181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-teaching-dimension-of-linear-learners-1512.02181"/></url>
<url><loc>https://scifaro.com/en/abs/online-crowdsourcing-1512.02393</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-crowdsourcing-1512.02393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-crowdsourcing-1512.02393"/></url>
<url><loc>https://scifaro.com/en/abs/online-gradient-descent-in-function-space-1512.02394</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-gradient-descent-in-function-space-1512.02394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-gradient-descent-in-function-space-1512.02394"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-nonlinear-classification-decisions-with-deep-taylor-decomposition-1512.02479</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-nonlinear-classification-decisions-with-deep-taylor-decomposition-1512.02479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-nonlinear-classification-decisions-with-deep-taylor-decomposition-1512.02479"/></url>
<url><loc>https://scifaro.com/en/abs/multi-player-bandits-a-musical-chairs-approach-1512.02866</loc><lastmod>2015-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-player-bandits-a-musical-chairs-approach-1512.02866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-player-bandits-a-musical-chairs-approach-1512.02866"/></url>
<url><loc>https://scifaro.com/en/abs/where-you-are-is-who-you-are-user-identification-by-matching-statistics-1512.02896</loc><lastmod>2015-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/where-you-are-is-who-you-are-user-identification-by-matching-statistics-1512.02896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/where-you-are-is-who-you-are-user-identification-by-matching-statistics-1512.02896"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-distributed-sgd-with-variance-reduction-1512.02970</loc><lastmod>2017-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-distributed-sgd-with-variance-reduction-1512.02970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-distributed-sgd-with-variance-reduction-1512.02970"/></url>
<url><loc>https://scifaro.com/en/abs/gated-networks-an-inventory-1512.03201</loc><lastmod>2015-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gated-networks-an-inventory-1512.03201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gated-networks-an-inventory-1512.03201"/></url>
<url><loc>https://scifaro.com/en/abs/norm-free-radon-nikodym-approach-to-machine-learning-1512.03219</loc><lastmod>2015-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/norm-free-radon-nikodym-approach-to-machine-learning-1512.03219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/norm-free-radon-nikodym-approach-to-machine-learning-1512.03219"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-monte-carlo-rollouts-in-go-1512.03375</loc><lastmod>2015-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-monte-carlo-rollouts-in-go-1512.03375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-monte-carlo-rollouts-in-go-1512.03375"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-deep-feature-learning-and-extraction-via-stochasticnets-1512.03844</loc><lastmod>2015-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-deep-feature-learning-and-extraction-via-stochasticnets-1512.03844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-deep-feature-learning-and-extraction-via-stochasticnets-1512.03844"/></url>
<url><loc>https://scifaro.com/en/abs/active-distance-based-clustering-using-k-medoids-1512.03953</loc><lastmod>2015-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-distance-based-clustering-using-k-medoids-1512.03953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-distance-based-clustering-using-k-medoids-1512.03953"/></url>
<url><loc>https://scifaro.com/en/abs/the-power-of-depth-for-feedforward-neural-networks-1512.03965</loc><lastmod>2016-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-power-of-depth-for-feedforward-neural-networks-1512.03965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-power-of-depth-for-feedforward-neural-networks-1512.03965"/></url>
<url><loc>https://scifaro.com/en/abs/l1-regularized-distributed-optimization-a-communication-efficient-primal-dual-framework-1512.04011</loc><lastmod>2016-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l1-regularized-distributed-optimization-a-communication-efficient-primal-dual-framework-1512.04011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l1-regularized-distributed-optimization-a-communication-efficient-primal-dual-framework-1512.04011"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-optimization-with-arbitrary-local-solvers-1512.04039</loc><lastmod>2016-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-optimization-with-arbitrary-local-solvers-1512.04039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-optimization-with-arbitrary-local-solvers-1512.04039"/></url>
<url><loc>https://scifaro.com/en/abs/fighting-bandits-with-a-new-kind-of-smoothness-1512.04152</loc><lastmod>2015-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fighting-bandits-with-a-new-kind-of-smoothness-1512.04152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fighting-bandits-with-a-new-kind-of-smoothness-1512.04152"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-incident-classification-for-big-traffic-data-by-adaptive-boosting-svm-1512.04392</loc><lastmod>2015-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-incident-classification-for-big-traffic-data-by-adaptive-boosting-svm-1512.04392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-incident-classification-for-big-traffic-data-by-adaptive-boosting-svm-1512.04392"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-bounds-for-binary-embeddings-of-arbitrary-sets-1512.04433</loc><lastmod>2015-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-bounds-for-binary-embeddings-of-arbitrary-sets-1512.04433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-bounds-for-binary-embeddings-of-arbitrary-sets-1512.04433"/></url>
<url><loc>https://scifaro.com/en/abs/memory-based-control-with-recurrent-neural-networks-1512.04455</loc><lastmod>2015-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-based-control-with-recurrent-neural-networks-1512.04455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-based-control-with-recurrent-neural-networks-1512.04455"/></url>
<url><loc>https://scifaro.com/en/abs/semisupervised-autoencoder-for-sentiment-analysis-1512.04466</loc><lastmod>2015-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semisupervised-autoencoder-for-sentiment-analysis-1512.04466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semisupervised-autoencoder-for-sentiment-analysis-1512.04466"/></url>
<url><loc>https://scifaro.com/en/abs/uber-die-klassifizierung-von-knoten-in-dynamischen-netzwerken-mit-inhalt-1512.04469</loc><lastmod>2015-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uber-die-klassifizierung-von-knoten-in-dynamischen-netzwerken-mit-inhalt-1512.04469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uber-die-klassifizierung-von-knoten-in-dynamischen-netzwerken-mit-inhalt-1512.04469"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-training-of-matrix-factorization-and-autoencoder-for-link-prediction-in-sparse-graphs-1512.04483</loc><lastmod>2015-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-training-of-matrix-factorization-and-autoencoder-for-link-prediction-in-sparse-graphs-1512.04483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-training-of-matrix-factorization-and-autoencoder-for-link-prediction-in-sparse-graphs-1512.04483"/></url>
<url><loc>https://scifaro.com/en/abs/learning-optimal-nonlinearities-for-iterative-thresholding-algorithms-1512.04754</loc><lastmod>2016-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-optimal-nonlinearities-for-iterative-thresholding-algorithms-1512.04754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-optimal-nonlinearities-for-iterative-thresholding-algorithms-1512.04754"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-resource-allocation-for-distributed-learning-1512.04848</loc><lastmod>2016-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-resource-allocation-for-distributed-learning-1512.04848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-resource-allocation-for-distributed-learning-1512.04848"/></url>
<url><loc>https://scifaro.com/en/abs/a-light-touch-for-heavily-constrained-sgd-1512.04960</loc><lastmod>2016-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-light-touch-for-heavily-constrained-sgd-1512.04960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-light-touch-for-heavily-constrained-sgd-1512.04960"/></url>
<url><loc>https://scifaro.com/en/abs/dna-level-splice-junction-prediction-using-deep-recurrent-neural-networks-1512.05135</loc><lastmod>2015-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dna-level-splice-junction-prediction-using-deep-recurrent-neural-networks-1512.05135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dna-level-splice-junction-prediction-using-deep-recurrent-neural-networks-1512.05135"/></url>
<url><loc>https://scifaro.com/en/abs/learning-games-and-rademacher-observations-losses-1512.05244</loc><lastmod>2016-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-games-and-rademacher-observations-losses-1512.05244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-games-and-rademacher-observations-losses-1512.05244"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-programming-with-gaussian-process-memoization-1512.05665</loc><lastmod>2016-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-programming-with-gaussian-process-memoization-1512.05665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-programming-with-gaussian-process-memoization-1512.05665"/></url>
<url><loc>https://scifaro.com/en/abs/successive-ray-refinement-and-its-application-to-coordinate-descent-for-lasso-1512.05808</loc><lastmod>2015-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/successive-ray-refinement-and-its-application-to-coordinate-descent-for-lasso-1512.05808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/successive-ray-refinement-and-its-application-to-coordinate-descent-for-lasso-1512.05808"/></url>
<url><loc>https://scifaro.com/en/abs/complexity-and-approximation-of-the-fuzzy-k-means-problem-1512.05947</loc><lastmod>2015-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complexity-and-approximation-of-the-fuzzy-k-means-problem-1512.05947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complexity-and-approximation-of-the-fuzzy-k-means-problem-1512.05947"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-behavior-of-mean-partitions-in-consensus-clustering-1512.06061</loc><lastmod>2015-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-behavior-of-mean-partitions-in-consensus-clustering-1512.06061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-behavior-of-mean-partitions-in-consensus-clustering-1512.06061"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-subnetworks-with-regularized-spectral-learning-for-global-state-network-data-1512.06173</loc><lastmod>2015-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-subnetworks-with-regularized-spectral-learning-for-global-state-network-data-1512.06173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-subnetworks-with-regularized-spectral-learning-for-global-state-network-data-1512.06173"/></url>
<url><loc>https://scifaro.com/en/abs/poseidon-a-system-architecture-for-efficient-gpu-based-deep-learning-on-multiple-machines-1512.06216</loc><lastmod>2015-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poseidon-a-system-architecture-for-efficient-gpu-based-deep-learning-on-multiple-machines-1512.06216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poseidon-a-system-architecture-for-efficient-gpu-based-deep-learning-on-multiple-machines-1512.06216"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-principal-component-analysis-network-for-image-classification-1512.06337</loc><lastmod>2015-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-principal-component-analysis-network-for-image-classification-1512.06337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-principal-component-analysis-network-for-image-classification-1512.06337"/></url>
<url><loc>https://scifaro.com/en/abs/behavioral-modeling-for-churn-prediction-early-indicators-and-accurate-predictors-of-custom-defection-and-loyalty-1512.06430</loc><lastmod>2015-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/behavioral-modeling-for-churn-prediction-early-indicators-and-accurate-predictors-of-custom-defection-and-loyalty-1512.06430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/behavioral-modeling-for-churn-prediction-early-indicators-and-accurate-predictors-of-custom-defection-and-loyalty-1512.06430"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-co-evolution-of-event-and-knowledge-graphs-1512.06900</loc><lastmod>2015-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-co-evolution-of-event-and-knowledge-graphs-1512.06900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-co-evolution-of-event-and-knowledge-graphs-1512.06900"/></url>
<url><loc>https://scifaro.com/en/abs/a-c-library-for-multimodal-deep-learning-1512.06927</loc><lastmod>2016-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-c-library-for-multimodal-deep-learning-1512.06927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-c-library-for-multimodal-deep-learning-1512.06927"/></url>
<url><loc>https://scifaro.com/en/abs/move-from-perturbed-scheme-to-exponential-weighting-average-1512.07074</loc><lastmod>2015-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/move-from-perturbed-scheme-to-exponential-weighting-average-1512.07074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/move-from-perturbed-scheme-to-exponential-weighting-average-1512.07074"/></url>
<url><loc>https://scifaro.com/en/abs/refined-error-bounds-for-several-learning-algorithms-1512.07146</loc><lastmod>2016-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/refined-error-bounds-for-several-learning-algorithms-1512.07146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/refined-error-bounds-for-several-learning-algorithms-1512.07146"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-for-classification-under-anonymity-constraint-1512.07158</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-for-classification-under-anonymity-constraint-1512.07158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-for-classification-under-anonymity-constraint-1512.07158"/></url>
<url><loc>https://scifaro.com/en/abs/latent-variable-modeling-with-diversity-inducing-mutual-angular-regularization-1512.07336</loc><lastmod>2015-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-variable-modeling-with-diversity-inducing-mutual-angular-regularization-1512.07336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-variable-modeling-with-diversity-inducing-mutual-angular-regularization-1512.07336"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-ensemble-learning-with-confidence-bounds-1512.07446</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-ensemble-learning-with-confidence-bounds-1512.07446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-ensemble-learning-with-confidence-bounds-1512.07446"/></url>
<url><loc>https://scifaro.com/en/abs/a-latent-variable-lattice-model-1512.07587</loc><lastmod>2016-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-latent-variable-lattice-model-1512.07587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-latent-variable-lattice-model-1512.07587"/></url>
<url><loc>https://scifaro.com/en/abs/satisficing-in-multi-armed-bandit-problems-1512.07638</loc><lastmod>2016-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/satisficing-in-multi-armed-bandit-problems-1512.07638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/satisficing-in-multi-armed-bandit-problems-1512.07638"/></url>
<url><loc>https://scifaro.com/en/abs/fast-parallel-svm-using-data-augmentation-1512.07716</loc><lastmod>2015-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-parallel-svm-using-data-augmentation-1512.07716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-parallel-svm-using-data-augmentation-1512.07716"/></url>
<url><loc>https://scifaro.com/en/abs/visualizations-relevant-to-the-user-by-multi-view-latent-variable-factorization-1512.07807</loc><lastmod>2016-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizations-relevant-to-the-user-by-multi-view-latent-variable-factorization-1512.07807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizations-relevant-to-the-user-by-multi-view-latent-variable-factorization-1512.07807"/></url>
<url><loc>https://scifaro.com/en/abs/implementing-a-bayes-filter-in-a-neural-circuit-the-case-of-unknown-stimulus-dynamics-1512.07839</loc><lastmod>2025-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementing-a-bayes-filter-in-a-neural-circuit-the-case-of-unknown-stimulus-dynamics-1512.07839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementing-a-bayes-filter-in-a-neural-circuit-the-case-of-unknown-stimulus-dynamics-1512.07839"/></url>
<url><loc>https://scifaro.com/en/abs/context-based-prediction-of-app-usage-1512.07851</loc><lastmod>2016-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-based-prediction-of-app-usage-1512.07851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-based-prediction-of-app-usage-1512.07851"/></url>
<url><loc>https://scifaro.com/en/abs/an-unsupervised-spatiotemporal-graphical-modeling-approach-to-anomaly-detection-in-distributed-cps-1512.07876</loc><lastmod>2016-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-unsupervised-spatiotemporal-graphical-modeling-approach-to-anomaly-detection-in-distributed-cps-1512.07876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-unsupervised-spatiotemporal-graphical-modeling-approach-to-anomaly-detection-in-distributed-cps-1512.07876"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-learning-under-nonstationary-mixing-processes-1512.08064</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-learning-under-nonstationary-mixing-processes-1512.08064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-learning-under-nonstationary-mixing-processes-1512.08064"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-reinforcement-learning-via-deep-gaussian-process-1512.08065</loc><lastmod>2017-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-via-deep-gaussian-process-1512.08065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-via-deep-gaussian-process-1512.08065"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-orthogonal-tensor-decompositions-for-multi-relational-learning-1512.08120</loc><lastmod>2016-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-orthogonal-tensor-decompositions-for-multi-relational-learning-1512.08120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-orthogonal-tensor-decompositions-for-multi-relational-learning-1512.08120"/></url>
<url><loc>https://scifaro.com/en/abs/the-utility-of-abstaining-in-binary-classification-1512.08133</loc><lastmod>2015-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-utility-of-abstaining-in-binary-classification-1512.08133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-utility-of-abstaining-in-binary-classification-1512.08133"/></url>
<url><loc>https://scifaro.com/en/abs/electricity-demand-forecasting-by-multi-task-learning-1512.08178</loc><lastmod>2015-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/electricity-demand-forecasting-by-multi-task-learning-1512.08178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/electricity-demand-forecasting-by-multi-task-learning-1512.08178"/></url>
<url><loc>https://scifaro.com/en/abs/new-perspectives-on-k-support-and-cluster-norms-1512.08204</loc><lastmod>2016-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-perspectives-on-k-support-and-cluster-norms-1512.08204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-perspectives-on-k-support-and-cluster-norms-1512.08204"/></url>
<url><loc>https://scifaro.com/en/abs/using-causal-discovery-to-track-information-flow-in-spatio-temporal-data-a-testbed-and-experimental-results-using-advection-diffusion-simulations-1512.08279</loc><lastmod>2015-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-causal-discovery-to-track-information-flow-in-spatio-temporal-data-a-testbed-and-experimental-results-using-advection-diffusion-simulations-1512.08279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-causal-discovery-to-track-information-flow-in-spatio-temporal-data-a-testbed-and-experimental-results-using-advection-diffusion-simulations-1512.08279"/></url>
<url><loc>https://scifaro.com/en/abs/taming-the-noise-in-reinforcement-learning-via-soft-updates-1512.08562</loc><lastmod>2018-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taming-the-noise-in-reinforcement-learning-via-soft-updates-1512.08562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taming-the-noise-in-reinforcement-learning-via-soft-updates-1512.08562"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-selective-attention-in-reactive-agents-1512.08575</loc><lastmod>2015-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-selective-attention-in-reactive-agents-1512.08575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-selective-attention-in-reactive-agents-1512.08575"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-baseline-for-travel-time-estimation-using-large-scale-trip-data-1512.08580</loc><lastmod>2015-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-baseline-for-travel-time-estimation-using-large-scale-trip-data-1512.08580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-baseline-for-travel-time-estimation-using-large-scale-trip-data-1512.08580"/></url>
<url><loc>https://scifaro.com/en/abs/feed-forward-networks-with-attention-can-solve-some-long-term-memory-problems-1512.08756</loc><lastmod>2016-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feed-forward-networks-with-attention-can-solve-some-long-term-memory-problems-1512.08756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feed-forward-networks-with-attention-can-solve-some-long-term-memory-problems-1512.08756"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-group-factor-analysis-for-biclustering-of-multiple-data-sources-1512.08808</loc><lastmod>2016-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-group-factor-analysis-for-biclustering-of-multiple-data-sources-1512.08808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-group-factor-analysis-for-biclustering-of-multiple-data-sources-1512.08808"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-filter-with-predictive-state-inference-machines-1512.08836</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-filter-with-predictive-state-inference-machines-1512.08836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-filter-with-predictive-state-inference-machines-1512.08836"/></url>
<url><loc>https://scifaro.com/en/abs/simple-robust-and-optimal-ranking-from-pairwise-comparisons-1512.08949</loc><lastmod>2016-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-robust-and-optimal-ranking-from-pairwise-comparisons-1512.08949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-robust-and-optimal-ranking-from-pairwise-comparisons-1512.08949"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-query-algorithms-for-mean-vector-estimation-and-stochastic-convex-optimization-1512.09170</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-query-algorithms-for-mean-vector-estimation-and-stochastic-convex-optimization-1512.09170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-query-algorithms-for-mean-vector-estimation-and-stochastic-convex-optimization-1512.09170"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-optimal-effort-allocation-in-crowdsourcing-bounds-and-index-policies-1512.09204</loc><lastmod>2016-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-optimal-effort-allocation-in-crowdsourcing-bounds-and-index-policies-1512.09204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-optimal-effort-allocation-in-crowdsourcing-bounds-and-index-policies-1512.09204"/></url>
<url><loc>https://scifaro.com/en/abs/denoising-and-completion-of-3d-data-via-multidimensional-dictionary-learning-1512.09227</loc><lastmod>2016-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/denoising-and-completion-of-3d-data-via-multidimensional-dictionary-learning-1512.09227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/denoising-and-completion-of-3d-data-via-multidimensional-dictionary-learning-1512.09227"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoding-beyond-pixels-using-a-learned-similarity-metric-1512.09300</loc><lastmod>2016-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoding-beyond-pixels-using-a-learned-similarity-metric-1512.09300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoding-beyond-pixels-using-a-learned-similarity-metric-1512.09300"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-bayesian-learning-with-stochastic-natural-gradient-expectation-propagation-and-the-posterior-server-1512.09327</loc><lastmod>2017-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-bayesian-learning-with-stochastic-natural-gradient-expectation-propagation-and-the-posterior-server-1512.09327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-bayesian-learning-with-stochastic-natural-gradient-expectation-propagation-and-the-posterior-server-1512.09327"/></url>
<url><loc>https://scifaro.com/en/abs/selecting-near-optimal-learners-via-incremental-data-allocation-1601.00024</loc><lastmod>2016-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selecting-near-optimal-learners-via-incremental-data-allocation-1601.00024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selecting-near-optimal-learners-via-incremental-data-allocation-1601.00024"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-dimensionality-reduction-via-distance-correlation-maximization-1601.00236</loc><lastmod>2016-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-dimensionality-reduction-via-distance-correlation-maximization-1601.00236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-dimensionality-reduction-via-distance-correlation-maximization-1601.00236"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-approach-for-learning-the-parameters-of-sum-product-networks-1601.00318</loc><lastmod>2016-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-approach-for-learning-the-parameters-of-sum-product-networks-1601.00318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-approach-for-learning-the-parameters-of-sum-product-networks-1601.00318"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-reducibility-of-submodular-functions-1601.00393</loc><lastmod>2016-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-reducibility-of-submodular-functions-1601.00393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-reducibility-of-submodular-functions-1601.00393"/></url>
<url><loc>https://scifaro.com/en/abs/fitting-spectral-decay-with-the-k-support-norm-1601.00449</loc><lastmod>2016-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitting-spectral-decay-with-the-k-support-norm-1601.00449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitting-spectral-decay-with-the-k-support-norm-1601.00449"/></url>
<url><loc>https://scifaro.com/en/abs/nfl-play-prediction-1601.00574</loc><lastmod>2016-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nfl-play-prediction-1601.00574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nfl-play-prediction-1601.00574"/></url>
<url><loc>https://scifaro.com/en/abs/robust-non-linear-regression-a-greedy-approach-employing-kernels-with-application-to-image-denoising-1601.00595</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-non-linear-regression-a-greedy-approach-employing-kernels-with-application-to-image-denoising-1601.00595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-non-linear-regression-a-greedy-approach-employing-kernels-with-application-to-image-denoising-1601.00595"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-disentangling-with-recurrent-transformations-for-3d-view-synthesis-1601.00706</loc><lastmod>2016-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-disentangling-with-recurrent-transformations-for-3d-view-synthesis-1601.00706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-disentangling-with-recurrent-transformations-for-3d-view-synthesis-1601.00706"/></url>
<url><loc>https://scifaro.com/en/abs/drmad-distilling-reverse-mode-automatic-differentiation-for-optimizing-hyperparameters-of-deep-neural-networks-1601.00917</loc><lastmod>2016-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drmad-distilling-reverse-mode-automatic-differentiation-for-optimizing-hyperparameters-of-deep-neural-networks-1601.00917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drmad-distilling-reverse-mode-automatic-differentiation-for-optimizing-hyperparameters-of-deep-neural-networks-1601.00917"/></url>
<url><loc>https://scifaro.com/en/abs/complex-decomposition-of-the-negative-distance-kernel-1601.00925</loc><lastmod>2016-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complex-decomposition-of-the-negative-distance-kernel-1601.00925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complex-decomposition-of-the-negative-distance-kernel-1601.00925"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-social-media-anomaly-detection-1601.01102</loc><lastmod>2016-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-social-media-anomaly-detection-1601.01102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-social-media-anomaly-detection-1601.01102"/></url>
<url><loc>https://scifaro.com/en/abs/a-pragmatic-approach-to-multi-class-classification-1601.01121</loc><lastmod>2016-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pragmatic-approach-to-multi-class-classification-1601.01121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pragmatic-approach-to-multi-class-classification-1601.01121"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-gibbs-sampling-for-lda-model-1601.01142</loc><lastmod>2016-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-gibbs-sampling-for-lda-model-1601.01142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-gibbs-sampling-for-lda-model-1601.01142"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-technique-for-improving-multi-class-classification-with-neural-networks-1601.01157</loc><lastmod>2016-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-technique-for-improving-multi-class-classification-with-neural-networks-1601.01157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-technique-for-improving-multi-class-classification-with-neural-networks-1601.01157"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-and-efficient-nonlinear-channel-equalization-for-underwater-acoustic-communication-1601.01218</loc><lastmod>2016-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-and-efficient-nonlinear-channel-equalization-for-underwater-acoustic-communication-1601.01218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-and-efficient-nonlinear-channel-equalization-for-underwater-acoustic-communication-1601.01218"/></url>
<url><loc>https://scifaro.com/en/abs/from-word-embeddings-to-item-recommendation-1601.01356</loc><lastmod>2016-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-word-embeddings-to-item-recommendation-1601.01356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-word-embeddings-to-item-recommendation-1601.01356"/></url>
<url><loc>https://scifaro.com/en/abs/learning-kernels-for-structured-prediction-using-polynomial-kernel-transformations-1601.01411</loc><lastmod>2016-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-kernels-for-structured-prediction-using-polynomial-kernel-transformations-1601.01411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-kernels-for-structured-prediction-using-polynomial-kernel-transformations-1601.01411"/></url>
<url><loc>https://scifaro.com/en/abs/state-space-representation-of-non-stationary-gaussian-processes-1601.01544</loc><lastmod>2016-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-space-representation-of-non-stationary-gaussian-processes-1601.01544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-space-representation-of-non-stationary-gaussian-processes-1601.01544"/></url>
<url><loc>https://scifaro.com/en/abs/dense-bag-of-temporal-sift-words-for-time-series-classification-1601.01799</loc><lastmod>2016-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dense-bag-of-temporal-sift-words-for-time-series-classification-1601.01799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dense-bag-of-temporal-sift-words-for-time-series-classification-1601.01799"/></url>
<url><loc>https://scifaro.com/en/abs/scale-free-online-learning-1601.01974</loc><lastmod>2016-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scale-free-online-learning-1601.01974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scale-free-online-learning-1601.01974"/></url>
<url><loc>https://scifaro.com/en/abs/on-clustering-time-series-using-euclidean-distance-and-pearson-correlation-1601.02213</loc><lastmod>2016-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-clustering-time-series-using-euclidean-distance-and-pearson-correlation-1601.02213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-clustering-time-series-using-euclidean-distance-and-pearson-correlation-1601.02213"/></url>
<url><loc>https://scifaro.com/en/abs/a-sufficient-statistics-construction-of-bayesian-nonparametric-exponential-family-conjugate-models-1601.02257</loc><lastmod>2016-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sufficient-statistics-construction-of-bayesian-nonparametric-exponential-family-conjugate-models-1601.02257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sufficient-statistics-construction-of-bayesian-nonparametric-exponential-family-conjugate-models-1601.02257"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-over-multi-field-categorical-data-a-case-study-on-user-response-prediction-1601.02376</loc><lastmod>2016-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-over-multi-field-categorical-data-a-case-study-on-user-response-prediction-1601.02376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-over-multi-field-categorical-data-a-case-study-on-user-response-prediction-1601.02376"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-look-alike-modelling-in-display-ads-transfer-collaborative-filtering-to-ctr-estimation-1601.02377</loc><lastmod>2016-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-look-alike-modelling-in-display-ads-transfer-collaborative-filtering-to-ctr-estimation-1601.02377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-look-alike-modelling-in-display-ads-transfer-collaborative-filtering-to-ctr-estimation-1601.02377"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-use-temporal-driven-constrained-clustering-to-detect-typical-evolutions-1601.02603</loc><lastmod>2016-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-use-temporal-driven-constrained-clustering-to-detect-typical-evolutions-1601.02603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-use-temporal-driven-constrained-clustering-to-detect-typical-evolutions-1601.02603"/></url>
<url><loc>https://scifaro.com/en/abs/using-svm-to-pre-classify-government-purchases-1601.02680</loc><lastmod>2016-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-svm-to-pre-classify-government-purchases-1601.02680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-svm-to-pre-classify-government-purchases-1601.02680"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-of-part-based-representation-of-data-using-sparse-autoencoders-with-nonnegativity-constraints-1601.02733</loc><lastmod>2016-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-of-part-based-representation-of-data-using-sparse-autoencoders-with-nonnegativity-constraints-1601.02733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-of-part-based-representation-of-data-using-sparse-autoencoders-with-nonnegativity-constraints-1601.02733"/></url>
<url><loc>https://scifaro.com/en/abs/infomax-strategies-for-an-optimal-balance-between-exploration-and-exploitation-1601.03073</loc><lastmod>2016-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infomax-strategies-for-an-optimal-balance-between-exploration-and-exploitation-1601.03073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infomax-strategies-for-an-optimal-balance-between-exploration-and-exploitation-1601.03073"/></url>
<url><loc>https://scifaro.com/en/abs/online-prediction-of-dyadic-data-with-heterogeneous-matrix-factorization-1601.03124</loc><lastmod>2016-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-prediction-of-dyadic-data-with-heterogeneous-matrix-factorization-1601.03124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-prediction-of-dyadic-data-with-heterogeneous-matrix-factorization-1601.03124"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-privacy-for-distributed-machine-learning-over-network-1601.03466</loc><lastmod>2016-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-privacy-for-distributed-machine-learning-over-network-1601.03466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-privacy-for-distributed-machine-learning-over-network-1601.03466"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-applied-to-image-and-text-matching-1601.03478</loc><lastmod>2016-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-applied-to-image-and-text-matching-1601.03478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-applied-to-image-and-text-matching-1601.03478"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-feature-weighting-based-k-means-algorithms-1601.03483</loc><lastmod>2016-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-feature-weighting-based-k-means-algorithms-1601.03483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-feature-weighting-based-k-means-algorithms-1601.03483"/></url>
<url><loc>https://scifaro.com/en/abs/trust-from-the-past-bayesian-personalized-ranking-based-link-prediction-in-knowledge-graphs-1601.03778</loc><lastmod>2016-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trust-from-the-past-bayesian-personalized-ranking-based-link-prediction-in-knowledge-graphs-1601.03778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trust-from-the-past-bayesian-personalized-ranking-based-link-prediction-in-knowledge-graphs-1601.03778"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-neural-networks-1601.03805</loc><lastmod>2016-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-neural-networks-1601.03805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-neural-networks-1601.03805"/></url>
<url><loc>https://scifaro.com/en/abs/a-relative-exponential-weighing-algorithm-for-adversarial-utility-based-dueling-bandits-1601.03855</loc><lastmod>2016-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-relative-exponential-weighing-algorithm-for-adversarial-utility-based-dueling-bandits-1601.03855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-relative-exponential-weighing-algorithm-for-adversarial-utility-based-dueling-bandits-1601.03855"/></url>
<url><loc>https://scifaro.com/en/abs/average-stability-is-invariant-to-data-preconditioning-implications-to-exp-concave-empirical-risk-minimization-1601.04011</loc><lastmod>2017-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/average-stability-is-invariant-to-data-preconditioning-implications-to-exp-concave-empirical-risk-minimization-1601.04011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/average-stability-is-invariant-to-data-preconditioning-implications-to-exp-concave-empirical-risk-minimization-1601.04011"/></url>
<url><loc>https://scifaro.com/en/abs/training-recurrent-neural-networks-by-diffusion-1601.04114</loc><lastmod>2016-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-recurrent-neural-networks-by-diffusion-1601.04114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-recurrent-neural-networks-by-diffusion-1601.04114"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-kernel-matrix-via-predictive-low-rank-approximations-1601.04366</loc><lastmod>2020-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-kernel-matrix-via-predictive-low-rank-approximations-1601.04366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-kernel-matrix-via-predictive-low-rank-approximations-1601.04366"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-theory-of-unsigned-and-signed-graphs-applications-to-graph-clustering-a-survey-1601.04692</loc><lastmod>2016-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-theory-of-unsigned-and-signed-graphs-applications-to-graph-clustering-a-survey-1601.04692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-theory-of-unsigned-and-signed-graphs-applications-to-graph-clustering-a-survey-1601.04692"/></url>
<url><loc>https://scifaro.com/en/abs/improved-sampling-techniques-for-learning-an-imbalanced-data-set-1601.04756</loc><lastmod>2016-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-sampling-techniques-for-learning-an-imbalanced-data-set-1601.04756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-sampling-techniques-for-learning-an-imbalanced-data-set-1601.04756"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-rank-breaking-for-efficient-rank-aggregation-1601.05495</loc><lastmod>2016-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-rank-breaking-for-efficient-rank-aggregation-1601.05495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-rank-breaking-for-efficient-rank-aggregation-1601.05495"/></url>
<url><loc>https://scifaro.com/en/abs/a-confidence-based-approach-for-balancing-fairness-and-accuracy-1601.05764</loc><lastmod>2016-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-confidence-based-approach-for-balancing-fairness-and-accuracy-1601.05764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-confidence-based-approach-for-balancing-fairness-and-accuracy-1601.05764"/></url>
<url><loc>https://scifaro.com/en/abs/when-is-clustering-perturbation-robust-1601.05900</loc><lastmod>2016-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-is-clustering-perturbation-robust-1601.05900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-is-clustering-perturbation-robust-1601.05900"/></url>
<url><loc>https://scifaro.com/en/abs/recommender-systems-inspired-by-the-structure-of-quantum-theory-1601.06035</loc><lastmod>2016-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recommender-systems-inspired-by-the-structure-of-quantum-theory-1601.06035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recommender-systems-inspired-by-the-structure-of-quantum-theory-1601.06035"/></url>
<url><loc>https://scifaro.com/en/abs/bitwise-neural-networks-1601.06071</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bitwise-neural-networks-1601.06071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bitwise-neural-networks-1601.06071"/></url>
<url><loc>https://scifaro.com/en/abs/universal-collaboration-strategies-for-signal-detection-a-sparse-learning-approach-1601.06201</loc><lastmod>2016-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-collaboration-strategies-for-signal-detection-a-sparse-learning-approach-1601.06201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-collaboration-strategies-for-signal-detection-a-sparse-learning-approach-1601.06201"/></url>
<url><loc>https://scifaro.com/en/abs/rectified-gaussian-scale-mixtures-and-the-sparse-non-negative-least-squares-problem-1601.06207</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rectified-gaussian-scale-mixtures-and-the-sparse-non-negative-least-squares-problem-1601.06207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rectified-gaussian-scale-mixtures-and-the-sparse-non-negative-least-squares-problem-1601.06207"/></url>
<url><loc>https://scifaro.com/en/abs/divide-and-conquer-local-average-regression-1601.06239</loc><lastmod>2016-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/divide-and-conquer-local-average-regression-1601.06239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/divide-and-conquer-local-average-regression-1601.06239"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-correlation-clustering-method-for-cancer-mutation-analysis-1601.06476</loc><lastmod>2016-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-correlation-clustering-method-for-cancer-mutation-analysis-1601.06476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-correlation-clustering-method-for-cancer-mutation-analysis-1601.06476"/></url>
<url><loc>https://scifaro.com/en/abs/expected-similarity-estimation-for-large-scale-batch-and-streaming-anomaly-detection-1601.06602</loc><lastmod>2016-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expected-similarity-estimation-for-large-scale-batch-and-streaming-anomaly-detection-1601.06602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expected-similarity-estimation-for-large-scale-batch-and-streaming-anomaly-detection-1601.06602"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-ucb-scheme-for-active-learning-in-regression-from-strategic-crowds-1601.06750</loc><lastmod>2016-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-ucb-scheme-for-active-learning-in-regression-from-strategic-crowds-1601.06750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-ucb-scheme-for-active-learning-in-regression-from-strategic-crowds-1601.06750"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-memetic-feature-selection-algorithm-1601.06933</loc><lastmod>2016-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-memetic-feature-selection-algorithm-1601.06933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-memetic-feature-selection-algorithm-1601.06933"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-adversarial-training-algorithms-with-flexible-deep-data-gradient-regularization-1601.07213</loc><lastmod>2016-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-adversarial-training-algorithms-with-flexible-deep-data-gradient-regularization-1601.07213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-adversarial-training-algorithms-with-flexible-deep-data-gradient-regularization-1601.07213"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-limits-of-bayesian-network-structure-learning-1601.07460</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-limits-of-bayesian-network-structure-learning-1601.07460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-limits-of-bayesian-network-structure-learning-1601.07460"/></url>
<url><loc>https://scifaro.com/en/abs/joint-sensing-matrix-and-sparsifying-dictionary-optimization-for-tensor-compressive-sensing-1601.07804</loc><lastmod>2017-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-sensing-matrix-and-sparsifying-dictionary-optimization-for-tensor-compressive-sensing-1601.07804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-sensing-matrix-and-sparsifying-dictionary-optimization-for-tensor-compressive-sensing-1601.07804"/></url>
<url><loc>https://scifaro.com/en/abs/automating-biomedical-data-science-through-tree-based-pipeline-optimization-1601.07925</loc><lastmod>2016-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automating-biomedical-data-science-through-tree-based-pipeline-optimization-1601.07925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automating-biomedical-data-science-through-tree-based-pipeline-optimization-1601.07925"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-lower-bounds-for-recovery-of-diffusion-network-structures-1601.07932</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-lower-bounds-for-recovery-of-diffusion-network-structures-1601.07932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-lower-bounds-for-recovery-of-diffusion-network-structures-1601.07932"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-a-data-perspective-1601.07996</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-a-data-perspective-1601.07996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-a-data-perspective-1601.07996"/></url>
<url><loc>https://scifaro.com/en/abs/spectrum-estimation-from-samples-1602.00061</loc><lastmod>2017-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectrum-estimation-from-samples-1602.00061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectrum-estimation-from-samples-1602.00061"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-instance-learning-for-sequence-data-with-across-bag-dependencies-1602.00163</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-instance-learning-for-sequence-data-with-across-bag-dependencies-1602.00163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-instance-learning-for-sequence-data-with-across-bag-dependencies-1602.00163"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-deep-dictionary-learning-1602.00203</loc><lastmod>2016-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-deep-dictionary-learning-1602.00203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-deep-dictionary-learning-1602.00203"/></url>
<url><loc>https://scifaro.com/en/abs/a-proximal-stochastic-quasi-newton-algorithm-1602.00223</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-proximal-stochastic-quasi-newton-algorithm-1602.00223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-proximal-stochastic-quasi-newton-algorithm-1602.00223"/></url>
<url><loc>https://scifaro.com/en/abs/bandits-meet-computer-architecture-designing-a-smartly-allocated-cache-1602.00309</loc><lastmod>2016-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandits-meet-computer-architecture-designing-a-smartly-allocated-cache-1602.00309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandits-meet-computer-architecture-designing-a-smartly-allocated-cache-1602.00309"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-subgradient-methods-for-online-auc-maximization-1602.00351</loc><lastmod>2016-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-subgradient-methods-for-online-auc-maximization-1602.00351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-subgradient-methods-for-online-auc-maximization-1602.00351"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-large-scale-and-high-dimensional-data-1602.00370</loc><lastmod>2016-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-large-scale-and-high-dimensional-data-1602.00370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-large-scale-and-high-dimensional-data-1602.00370"/></url>
<url><loc>https://scifaro.com/en/abs/confidentcare-a-clinical-decision-support-system-for-personalized-breast-cancer-screening-1602.00374</loc><lastmod>2016-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidentcare-a-clinical-decision-support-system-for-personalized-breast-cancer-screening-1602.00374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidentcare-a-clinical-decision-support-system-for-personalized-breast-cancer-screening-1602.00374"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-predictable-feature-analysis-1602.00554</loc><lastmod>2017-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-predictable-feature-analysis-1602.00554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-predictable-feature-analysis-1602.00554"/></url>
<url><loc>https://scifaro.com/en/abs/multi-object-classification-via-crowdsourcing-with-a-reject-option-1602.00575</loc><lastmod>2016-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-object-classification-via-crowdsourcing-with-a-reject-option-1602.00575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-object-classification-via-crowdsourcing-with-a-reject-option-1602.00575"/></url>
<url><loc>https://scifaro.com/en/abs/deep-tracking-seeing-beyond-seeing-using-recurrent-neural-networks-1602.00991</loc><lastmod>2016-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-tracking-seeing-beyond-seeing-using-recurrent-neural-networks-1602.00991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-tracking-seeing-beyond-seeing-using-recurrent-neural-networks-1602.00991"/></url>
<url><loc>https://scifaro.com/en/abs/on-deep-multi-view-representation-learning-objectives-and-optimization-1602.01024</loc><lastmod>2016-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-deep-multi-view-representation-learning-objectives-and-optimization-1602.01024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-deep-multi-view-representation-learning-objectives-and-optimization-1602.01024"/></url>
<url><loc>https://scifaro.com/en/abs/single-solution-hypervolume-maximization-and-its-use-for-improving-generalization-of-neural-networks-1602.01164</loc><lastmod>2016-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-solution-hypervolume-maximization-and-its-use-for-improving-generalization-of-neural-networks-1602.01164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-solution-hypervolume-maximization-and-its-use-for-improving-generalization-of-neural-networks-1602.01164"/></url>
<url><loc>https://scifaro.com/en/abs/k-variates-more-pluses-in-the-k-means-1602.01198</loc><lastmod>2016-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-variates-more-pluses-in-the-k-means-1602.01198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-variates-more-pluses-in-the-k-means-1602.01198"/></url>
<url><loc>https://scifaro.com/en/abs/biclustering-readings-and-manuscripts-via-non-negative-matrix-factorization-with-application-to-the-text-of-jude-1602.01323</loc><lastmod>2016-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biclustering-readings-and-manuscripts-via-non-negative-matrix-factorization-with-application-to-the-text-of-jude-1602.01323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biclustering-readings-and-manuscripts-via-non-negative-matrix-factorization-with-application-to-the-text-of-jude-1602.01323"/></url>
<url><loc>https://scifaro.com/en/abs/an-ensemble-diversity-approach-to-supervised-binary-hashing-1602.01557</loc><lastmod>2016-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-ensemble-diversity-approach-to-supervised-binary-hashing-1602.01557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-ensemble-diversity-approach-to-supervised-binary-hashing-1602.01557"/></url>
<url><loc>https://scifaro.com/en/abs/long-term-planning-by-short-term-prediction-1602.01580</loc><lastmod>2016-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-term-planning-by-short-term-prediction-1602.01580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-term-planning-by-short-term-prediction-1602.01580"/></url>
<url><loc>https://scifaro.com/en/abs/sdca-without-duality-regularization-and-individual-convexity-1602.01582</loc><lastmod>2016-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sdca-without-duality-regularization-and-individual-convexity-1602.01582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sdca-without-duality-regularization-and-individual-convexity-1602.01582"/></url>
<url><loc>https://scifaro.com/en/abs/minimizing-the-maximal-loss-how-and-why-1602.01690</loc><lastmod>2016-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimizing-the-maximal-loss-how-and-why-1602.01690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimizing-the-maximal-loss-how-and-why-1602.01690"/></url>
<url><loc>https://scifaro.com/en/abs/the-great-time-series-classification-bake-off-an-experimental-evaluation-of-recently-proposed-algorithms-extended-version-1602.01711</loc><lastmod>2016-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-great-time-series-classification-bake-off-an-experimental-evaluation-of-recently-proposed-algorithms-extended-version-1602.01711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-great-time-series-classification-bake-off-an-experimental-evaluation-of-recently-proposed-algorithms-extended-version-1602.01711"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-methods-for-deep-reinforcement-learning-1602.01783</loc><lastmod>2016-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-methods-for-deep-reinforcement-learning-1602.01783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-methods-for-deep-reinforcement-learning-1602.01783"/></url>
<url><loc>https://scifaro.com/en/abs/fast-multiplier-methods-to-optimize-non-exhaustive-overlapping-clustering-1602.01910</loc><lastmod>2016-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-multiplier-methods-to-optimize-non-exhaustive-overlapping-clustering-1602.01910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-multiplier-methods-to-optimize-non-exhaustive-overlapping-clustering-1602.01910"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-pca-for-low-rank-matrices-on-graphs-1602.02070</loc><lastmod>2016-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-pca-for-low-rank-matrices-on-graphs-1602.02070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-pca-for-low-rank-matrices-on-graphs-1602.02070"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduced-and-projection-free-stochastic-optimization-1602.02101</loc><lastmod>2017-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduced-and-projection-free-stochastic-optimization-1602.02101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduced-and-projection-free-stochastic-optimization-1602.02101"/></url>
<url><loc>https://scifaro.com/en/abs/sequence-classification-with-neural-conditional-random-fields-1602.02123</loc><lastmod>2016-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequence-classification-with-neural-conditional-random-fields-1602.02123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequence-classification-with-neural-conditional-random-fields-1602.02123"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-runtime-by-recycling-samples-1602.02136</loc><lastmod>2016-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-runtime-by-recycling-samples-1602.02136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-runtime-by-recycling-samples-1602.02136"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-the-structure-stochastic-gradient-methods-using-raw-clusters-1602.02151</loc><lastmod>2016-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-the-structure-stochastic-gradient-methods-using-raw-clusters-1602.02151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-the-structure-stochastic-gradient-methods-using-raw-clusters-1602.02151"/></url>
<url><loc>https://scifaro.com/en/abs/on-column-selection-in-approximate-kernel-canonical-correlation-analysis-1602.02172</loc><lastmod>2016-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-column-selection-in-approximate-kernel-canonical-correlation-analysis-1602.02172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-column-selection-in-approximate-kernel-canonical-correlation-analysis-1602.02172"/></url>
<url><loc>https://scifaro.com/en/abs/bistro-an-efficient-relaxation-based-method-for-contextual-bandits-1602.02196</loc><lastmod>2016-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bistro-an-efficient-relaxation-based-method-for-contextual-bandits-1602.02196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bistro-an-efficient-relaxation-based-method-for-contextual-bandits-1602.02196"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-second-order-online-learning-by-sketching-1602.02202</loc><lastmod>2017-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-second-order-online-learning-by-sketching-1602.02202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-second-order-online-learning-by-sketching-1602.02202"/></url>
<url><loc>https://scifaro.com/en/abs/classification-accuracy-as-a-proxy-for-two-sample-testing-1602.02210</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-accuracy-as-a-proxy-for-two-sample-testing-1602.02210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-accuracy-as-a-proxy-for-two-sample-testing-1602.02210"/></url>
<url><loc>https://scifaro.com/en/abs/strongly-typed-recurrent-neural-networks-1602.02218</loc><lastmod>2016-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strongly-typed-recurrent-neural-networks-1602.02218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strongly-typed-recurrent-neural-networks-1602.02218"/></url>
<url><loc>https://scifaro.com/en/abs/improved-dropout-for-shallow-and-deep-learning-1602.02220</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-dropout-for-shallow-and-deep-learning-1602.02220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-dropout-for-shallow-and-deep-learning-1602.02220"/></url>
<url><loc>https://scifaro.com/en/abs/a-tractable-fully-bayesian-method-for-the-stochastic-block-model-1602.02256</loc><lastmod>2016-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tractable-fully-bayesian-method-for-the-stochastic-block-model-1602.02256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tractable-fully-bayesian-method-for-the-stochastic-block-model-1602.02256"/></url>
<url><loc>https://scifaro.com/en/abs/recovery-guarantee-of-weighted-low-rank-approximation-via-alternating-minimization-1602.02262</loc><lastmod>2016-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovery-guarantee-of-weighted-low-rank-approximation-via-alternating-minimization-1602.02262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovery-guarantee-of-weighted-low-rank-approximation-via-alternating-minimization-1602.02262"/></url>
<url><loc>https://scifaro.com/en/abs/importance-sampling-for-minibatches-1602.02283</loc><lastmod>2016-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-sampling-for-minibatches-1602.02283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-sampling-for-minibatches-1602.02283"/></url>
<url><loc>https://scifaro.com/en/abs/stratified-bayesian-optimization-1602.02338</loc><lastmod>2016-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stratified-bayesian-optimization-1602.02338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stratified-bayesian-optimization-1602.02338"/></url>
<url><loc>https://scifaro.com/en/abs/solving-ridge-regression-using-sketched-preconditioned-svrg-1602.02350</loc><lastmod>2016-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-ridge-regression-using-sketched-preconditioned-svrg-1602.02350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-ridge-regression-using-sketched-preconditioned-svrg-1602.02350"/></url>
<url><loc>https://scifaro.com/en/abs/disentangled-representations-in-neural-models-1602.02383</loc><lastmod>2016-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-representations-in-neural-models-1602.02383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-representations-in-neural-models-1602.02383"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-robustness-and-generalization-of-stochastic-deep-learning-algorithms-1602.02389</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-robustness-and-generalization-of-stochastic-deep-learning-algorithms-1602.02389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-robustness-and-generalization-of-stochastic-deep-learning-algorithms-1602.02389"/></url>
<url><loc>https://scifaro.com/en/abs/loss-factorization-weakly-supervised-learning-and-label-noise-robustness-1602.02450</loc><lastmod>2016-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-factorization-weakly-supervised-learning-and-label-noise-robustness-1602.02450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-factorization-weakly-supervised-learning-and-label-noise-robustness-1602.02450"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-algorithms-for-adversarial-contextual-learning-1602.02454</loc><lastmod>2016-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-algorithms-for-adversarial-contextual-learning-1602.02454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-algorithms-for-adversarial-contextual-learning-1602.02454"/></url>
<url><loc>https://scifaro.com/en/abs/binarized-neural-networks-1602.02505</loc><lastmod>2016-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binarized-neural-networks-1602.02505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binarized-neural-networks-1602.02505"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-kernel-completion-1602.02518</loc><lastmod>2016-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-kernel-completion-1602.02518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-kernel-completion-1602.02518"/></url>
<url><loc>https://scifaro.com/en/abs/homogeneity-of-cluster-ensembles-1602.02543</loc><lastmod>2016-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/homogeneity-of-cluster-ensembles-1602.02543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/homogeneity-of-cluster-ensembles-1602.02543"/></url>
<url><loc>https://scifaro.com/en/abs/generating-images-with-perceptual-similarity-metrics-based-on-deep-networks-1602.02644</loc><lastmod>2016-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-images-with-perceptual-similarity-metrics-based-on-deep-networks-1602.02644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-images-with-perceptual-similarity-metrics-based-on-deep-networks-1602.02644"/></url>
<url><loc>https://scifaro.com/en/abs/graying-the-black-box-understanding-dqns-1602.02658</loc><lastmod>2017-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graying-the-black-box-understanding-dqns-1602.02658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graying-the-black-box-understanding-dqns-1602.02658"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-cyclic-symmetry-in-convolutional-neural-networks-1602.02660</loc><lastmod>2016-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-cyclic-symmetry-in-convolutional-neural-networks-1602.02660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-cyclic-symmetry-in-convolutional-neural-networks-1602.02660"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-clinical-events-by-combining-static-and-dynamic-information-using-recurrent-neural-networks-1602.02685</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-clinical-events-by-combining-static-and-dynamic-information-using-recurrent-neural-networks-1602.02685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-clinical-events-by-combining-static-and-dynamic-information-using-recurrent-neural-networks-1602.02685"/></url>
<url><loc>https://scifaro.com/en/abs/decoy-bandits-dueling-on-a-poset-1602.02706</loc><lastmod>2016-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoy-bandits-dueling-on-a-poset-1602.02706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoy-bandits-dueling-on-a-poset-1602.02706"/></url>
<url><loc>https://scifaro.com/en/abs/pac-reinforcement-learning-with-rich-observations-1602.02722</loc><lastmod>2016-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-reinforcement-learning-with-rich-observations-1602.02722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-reinforcement-learning-with-rich-observations-1602.02722"/></url>
<url><loc>https://scifaro.com/en/abs/poor-starting-points-in-machine-learning-1602.02823</loc><lastmod>2016-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poor-starting-points-in-machine-learning-1602.02823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poor-starting-points-in-machine-learning-1602.02823"/></url>
<url><loc>https://scifaro.com/en/abs/binarized-neural-networks-training-deep-neural-networks-with-weights-and-activations-constrained-to-1-or-1-1602.02830</loc><lastmod>2016-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binarized-neural-networks-training-deep-neural-networks-with-weights-and-activations-constrained-to-1-or-1-1602.02830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binarized-neural-networks-training-deep-neural-networks-with-weights-and-activations-constrained-to-1-or-1-1602.02830"/></url>
<url><loc>https://scifaro.com/en/abs/classification-with-boosting-of-extreme-learning-machine-over-arbitrarily-partitioned-data-1602.02887</loc><lastmod>2016-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-with-boosting-of-extreme-learning-machine-over-arbitrarily-partitioned-data-1602.02887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-with-boosting-of-extreme-learning-machine-over-arbitrarily-partitioned-data-1602.02887"/></url>
<url><loc>https://scifaro.com/en/abs/robust-ensemble-classifier-combination-based-on-noise-removal-with-one-class-svm-1602.02888</loc><lastmod>2016-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-ensemble-classifier-combination-based-on-noise-removal-with-one-class-svm-1602.02888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-ensemble-classifier-combination-based-on-noise-removal-with-one-class-svm-1602.02888"/></url>
<url><loc>https://scifaro.com/en/abs/spoofing-detection-under-noisy-conditions-a-preliminary-investigation-and-an-initial-database-1602.02950</loc><lastmod>2016-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spoofing-detection-under-noisy-conditions-a-preliminary-investigation-and-an-initial-database-1602.02950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spoofing-detection-under-noisy-conditions-a-preliminary-investigation-and-an-initial-database-1602.02950"/></url>
<url><loc>https://scifaro.com/en/abs/a-convolutional-attention-network-for-extreme-summarization-of-source-code-1602.03001</loc><lastmod>2016-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convolutional-attention-network-for-extreme-summarization-of-source-code-1602.03001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convolutional-attention-network-for-extreme-summarization-of-source-code-1602.03001"/></url>
<url><loc>https://scifaro.com/en/abs/the-structured-weighted-violations-perceptron-algorithm-1602.03040</loc><lastmod>2016-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-structured-weighted-violations-perceptron-algorithm-1602.03040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-structured-weighted-violations-perceptron-algorithm-1602.03040"/></url>
<url><loc>https://scifaro.com/en/abs/dcm-bandits-learning-to-rank-with-multiple-clicks-1602.03146</loc><lastmod>2016-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dcm-bandits-learning-to-rank-with-multiple-clicks-1602.03146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dcm-bandits-learning-to-rank-with-multiple-clicks-1602.03146"/></url>
<url><loc>https://scifaro.com/en/abs/learning-efficient-algorithms-with-hierarchical-attentive-memory-1602.03218</loc><lastmod>2016-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-efficient-algorithms-with-hierarchical-attentive-memory-1602.03218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-efficient-algorithms-with-hierarchical-attentive-memory-1602.03218"/></url>
<url><loc>https://scifaro.com/en/abs/interactive-bayesian-hierarchical-clustering-1602.03258</loc><lastmod>2016-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interactive-bayesian-hierarchical-clustering-1602.03258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interactive-bayesian-hierarchical-clustering-1602.03258"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-hierarchical-optimization-for-misspecified-problems-ihomp-1602.03348</loc><lastmod>2016-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-hierarchical-optimization-for-misspecified-problems-ihomp-1602.03348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-hierarchical-optimization-for-misspecified-problems-ihomp-1602.03348"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-skills-adaptive-partitions-asap-1602.03351</loc><lastmod>2016-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-skills-adaptive-partitions-asap-1602.03351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-skills-adaptive-partitions-asap-1602.03351"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-budget-optimality-with-adaptive-schemes-in-crowdsourcing-1602.03481</loc><lastmod>2017-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-budget-optimality-with-adaptive-schemes-in-crowdsourcing-1602.03481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-budget-optimality-with-adaptive-schemes-in-crowdsourcing-1602.03481"/></url>
<url><loc>https://scifaro.com/en/abs/learning-privately-from-multiparty-data-1602.03552</loc><lastmod>2016-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-privately-from-multiparty-data-1602.03552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-privately-from-multiparty-data-1602.03552"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-inference-with-random-maximum-a-posteriori-perturbations-1602.03571</loc><lastmod>2017-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-inference-with-random-maximum-a-posteriori-perturbations-1602.03571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-inference-with-random-maximum-a-posteriori-perturbations-1602.03571"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-inference-in-crowdsourced-classification-via-belief-propagation-1602.03619</loc><lastmod>2017-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-inference-in-crowdsourced-classification-via-belief-propagation-1602.03619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-inference-in-crowdsourced-classification-via-belief-propagation-1602.03619"/></url>
<url><loc>https://scifaro.com/en/abs/medical-concept-representation-learning-from-electronic-health-records-and-its-application-on-heart-failure-prediction-1602.03686</loc><lastmod>2017-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/medical-concept-representation-learning-from-electronic-health-records-and-its-application-on-heart-failure-prediction-1602.03686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/medical-concept-representation-learning-from-electronic-health-records-and-its-application-on-heart-failure-prediction-1602.03686"/></url>
<url><loc>https://scifaro.com/en/abs/a-critical-connectivity-radius-for-segmenting-randomly-generated-high-dimensional-data-points-1602.03822</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-critical-connectivity-radius-for-segmenting-randomly-generated-high-dimensional-data-points-1602.03822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-critical-connectivity-radius-for-segmenting-randomly-generated-high-dimensional-data-points-1602.03822"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-radio-modulation-recognition-networks-1602.04105</loc><lastmod>2016-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-radio-modulation-recognition-networks-1602.04105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-radio-modulation-recognition-networks-1602.04105"/></url>
<url><loc>https://scifaro.com/en/abs/coin-betting-and-parameter-free-online-learning-1602.04128</loc><lastmod>2016-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coin-betting-and-parameter-free-online-learning-1602.04128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coin-betting-and-parameter-free-online-learning-1602.04128"/></url>
<url><loc>https://scifaro.com/en/abs/pursuits-in-structured-non-convex-matrix-factorizations-1602.04208</loc><lastmod>2016-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pursuits-in-structured-non-convex-matrix-factorizations-1602.04208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pursuits-in-structured-non-convex-matrix-factorizations-1602.04208"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-protein-structural-models-using-random-forests-1602.04277</loc><lastmod>2016-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-protein-structural-models-using-random-forests-1602.04277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-protein-structural-models-using-random-forests-1602.04277"/></url>
<url><loc>https://scifaro.com/en/abs/look-listen-and-learn-a-multimodal-lstm-for-speaker-identification-1602.04364</loc><lastmod>2016-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/look-listen-and-learn-a-multimodal-lstm-for-speaker-identification-1602.04364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/look-listen-and-learn-a-multimodal-lstm-for-speaker-identification-1602.04364"/></url>
<url><loc>https://scifaro.com/en/abs/convex-optimization-for-non-convex-problems-via-column-generation-1602.04409</loc><lastmod>2016-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-optimization-for-non-convex-problems-via-column-generation-1602.04409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-optimization-for-non-convex-problems-via-column-generation-1602.04409"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-domain-adaptation-with-residual-transfer-networks-1602.04433</loc><lastmod>2017-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-with-residual-transfer-networks-1602.04433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-with-residual-transfer-networks-1602.04433"/></url>
<url><loc>https://scifaro.com/en/abs/frequency-analysis-of-temporal-graph-signals-1602.04434</loc><lastmod>2016-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frequency-analysis-of-temporal-graph-signals-1602.04434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frequency-analysis-of-temporal-graph-signals-1602.04434"/></url>
<url><loc>https://scifaro.com/en/abs/autoregressive-moving-average-graph-filtering-1602.04436</loc><lastmod>2017-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoregressive-moving-average-graph-filtering-1602.04436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoregressive-moving-average-graph-filtering-1602.04436"/></url>
<url><loc>https://scifaro.com/en/abs/surprising-properties-of-dropout-in-deep-networks-1602.04484</loc><lastmod>2017-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surprising-properties-of-dropout-in-deep-networks-1602.04484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surprising-properties-of-dropout-in-deep-networks-1602.04484"/></url>
<url><loc>https://scifaro.com/en/abs/benefits-of-depth-in-neural-networks-1602.04485</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benefits-of-depth-in-neural-networks-1602.04485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benefits-of-depth-in-neural-networks-1602.04485"/></url>
<url><loc>https://scifaro.com/en/abs/learning-granger-causality-for-hawkes-processes-1602.04511</loc><lastmod>2016-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-granger-causality-for-hawkes-processes-1602.04511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-granger-causality-for-hawkes-processes-1602.04511"/></url>
<url><loc>https://scifaro.com/en/abs/deep-exploration-via-bootstrapped-dqn-1602.04621</loc><lastmod>2016-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-exploration-via-bootstrapped-dqn-1602.04621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-exploration-via-bootstrapped-dqn-1602.04621"/></url>
<url><loc>https://scifaro.com/en/abs/delay-and-cooperation-in-nonstochastic-bandits-1602.04741</loc><lastmod>2016-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delay-and-cooperation-in-nonstochastic-bandits-1602.04741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delay-and-cooperation-in-nonstochastic-bandits-1602.04741"/></url>
<url><loc>https://scifaro.com/en/abs/bi-directional-lstm-recurrent-neural-network-for-chinese-word-segmentation-1602.04874</loc><lastmod>2016-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bi-directional-lstm-recurrent-neural-network-for-chinese-word-segmentation-1602.04874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bi-directional-lstm-recurrent-neural-network-for-chinese-word-segmentation-1602.04874"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-domain-adaptation-using-approximate-label-matching-1602.04889</loc><lastmod>2017-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-using-approximate-label-matching-1602.04889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-using-approximate-label-matching-1602.04889"/></url>
<url><loc>https://scifaro.com/en/abs/why-should-i-trust-you-explaining-the-predictions-of-any-classifier-1602.04938</loc><lastmod>2016-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-should-i-trust-you-explaining-the-predictions-of-any-classifier-1602.04938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-should-i-trust-you-explaining-the-predictions-of-any-classifier-1602.04938"/></url>
<url><loc>https://scifaro.com/en/abs/generating-images-with-recurrent-adversarial-networks-1602.05110</loc><lastmod>2016-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-images-with-recurrent-adversarial-networks-1602.05110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-images-with-recurrent-adversarial-networks-1602.05110"/></url>
<url><loc>https://scifaro.com/en/abs/patient-flow-prediction-via-discriminative-learning-of-mutually-correcting-processes-1602.05112</loc><lastmod>2016-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/patient-flow-prediction-via-discriminative-learning-of-mutually-correcting-processes-1602.05112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/patient-flow-prediction-via-discriminative-learning-of-mutually-correcting-processes-1602.05112"/></url>
<url><loc>https://scifaro.com/en/abs/a-harmonic-extension-approach-for-collaborative-ranking-1602.05127</loc><lastmod>2016-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-harmonic-extension-approach-for-collaborative-ranking-1602.05127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-harmonic-extension-approach-for-collaborative-ranking-1602.05127"/></url>
<url><loc>https://scifaro.com/en/abs/fast-learning-requires-good-memory-a-time-space-lower-bound-for-parity-learning-1602.05161</loc><lastmod>2016-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-learning-requires-good-memory-a-time-space-lower-bound-for-parity-learning-1602.05161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-learning-requires-good-memory-a-time-space-lower-bound-for-parity-learning-1602.05161"/></url>
<url><loc>https://scifaro.com/en/abs/equilibrium-propagation-bridging-the-gap-between-energy-based-models-and-backpropagation-1602.05179</loc><lastmod>2017-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equilibrium-propagation-bridging-the-gap-between-energy-based-models-and-backpropagation-1602.05179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equilibrium-propagation-bridging-the-gap-between-energy-based-models-and-backpropagation-1602.05179"/></url>
<url><loc>https://scifaro.com/en/abs/primal-dual-rates-and-certificates-1602.05205</loc><lastmod>2016-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/primal-dual-rates-and-certificates-1602.05205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/primal-dual-rates-and-certificates-1602.05205"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-markov-chain-algorithms-for-sampling-strongly-rayleigh-distributions-and-determinantal-point-processes-1602.05242</loc><lastmod>2016-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-markov-chain-algorithms-for-sampling-strongly-rayleigh-distributions-and-determinantal-point-processes-1602.05242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-markov-chain-algorithms-for-sampling-strongly-rayleigh-distributions-and-determinantal-point-processes-1602.05242"/></url>
<url><loc>https://scifaro.com/en/abs/peak-criterion-for-choosing-gaussian-kernel-bandwidth-in-support-vector-data-description-1602.05257</loc><lastmod>2017-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/peak-criterion-for-choosing-gaussian-kernel-bandwidth-in-support-vector-data-description-1602.05257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/peak-criterion-for-choosing-gaussian-kernel-bandwidth-in-support-vector-data-description-1602.05257"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-kernel-learning-using-block-coordinate-descent-1602.05310</loc><lastmod>2016-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-kernel-learning-using-block-coordinate-descent-1602.05310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-kernel-learning-using-block-coordinate-descent-1602.05310"/></url>
<url><loc>https://scifaro.com/en/abs/relative-error-embeddings-for-the-gaussian-kernel-distance-1602.05350</loc><lastmod>2026-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-error-embeddings-for-the-gaussian-kernel-distance-1602.05350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-error-embeddings-for-the-gaussian-kernel-distance-1602.05350"/></url>
<url><loc>https://scifaro.com/en/abs/recommendations-as-treatments-debiasing-learning-and-evaluation-1602.05352</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recommendations-as-treatments-debiasing-learning-and-evaluation-1602.05352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recommendations-as-treatments-debiasing-learning-and-evaluation-1602.05352"/></url>
<url><loc>https://scifaro.com/en/abs/multi-layer-representation-learning-for-medical-concepts-1602.05568</loc><lastmod>2016-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-layer-representation-learning-for-medical-concepts-1602.05568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-layer-representation-learning-for-medical-concepts-1602.05568"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-learning-of-deep-networks-from-decentralized-data-1602.05629</loc><lastmod>2023-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-learning-of-deep-networks-from-decentralized-data-1602.05629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-learning-of-deep-networks-from-decentralized-data-1602.05629"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-least-mean-squares-estimation-of-graph-signals-1602.05703</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-least-mean-squares-estimation-of-graph-signals-1602.05703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-least-mean-squares-estimation-of-graph-signals-1602.05703"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-analysis-of-the-er-spud-dictionary-learning-algorithm-1602.05719</loc><lastmod>2016-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-analysis-of-the-er-spud-dictionary-learning-algorithm-1602.05719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-analysis-of-the-er-spud-dictionary-learning-algorithm-1602.05719"/></url>
<url><loc>https://scifaro.com/en/abs/toward-deeper-understanding-of-neural-networks-the-power-of-initialization-and-a-dual-view-on-expressivity-1602.05897</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-deeper-understanding-of-neural-networks-the-power-of-initialization-and-a-dual-view-on-expressivity-1602.05897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-deeper-understanding-of-neural-networks-the-power-of-initialization-and-a-dual-view-on-expressivity-1602.05897"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-approaches-for-escaping-higher-order-saddle-points-in-non-convex-optimization-1602.05908</loc><lastmod>2016-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-approaches-for-escaping-higher-order-saddle-points-in-non-convex-optimization-1602.05908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-approaches-for-escaping-higher-order-saddle-points-in-non-convex-optimization-1602.05908"/></url>
<url><loc>https://scifaro.com/en/abs/local-rademacher-complexity-based-learning-guarantees-for-multi-task-learning-1602.05916</loc><lastmod>2017-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-rademacher-complexity-based-learning-guarantees-for-multi-task-learning-1602.05916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-rademacher-complexity-based-learning-guarantees-for-multi-task-learning-1602.05916"/></url>
<url><loc>https://scifaro.com/en/abs/revise-saturated-activation-functions-1602.05980</loc><lastmod>2016-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revise-saturated-activation-functions-1602.05980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revise-saturated-activation-functions-1602.05980"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-learning-for-supervised-topic-models-1602.06025</loc><lastmod>2016-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-learning-for-supervised-topic-models-1602.06025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-learning-for-supervised-topic-models-1602.06025"/></url>
<url><loc>https://scifaro.com/en/abs/node-by-node-greedy-deep-learning-for-interpretable-features-1602.06183</loc><lastmod>2016-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-by-node-greedy-deep-learning-for-interpretable-features-1602.06183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-by-node-greedy-deep-learning-for-interpretable-features-1602.06183"/></url>
<url><loc>https://scifaro.com/en/abs/flash-fast-bayesian-optimization-for-data-analytic-pipelines-1602.06468</loc><lastmod>2016-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flash-fast-bayesian-optimization-for-data-analytic-pipelines-1602.06468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flash-fast-bayesian-optimization-for-data-analytic-pipelines-1602.06468"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-hypergraph-partitioning-provable-tensor-methods-and-sampling-techniques-1602.06516</loc><lastmod>2017-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-hypergraph-partitioning-provable-tensor-methods-and-sampling-techniques-1602.06516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-hypergraph-partitioning-provable-tensor-methods-and-sampling-techniques-1602.06516"/></url>
<url><loc>https://scifaro.com/en/abs/determining-the-best-attributes-for-surveillance-video-keywords-generation-1602.06539</loc><lastmod>2016-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/determining-the-best-attributes-for-surveillance-video-keywords-generation-1602.06539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/determining-the-best-attributes-for-surveillance-video-keywords-generation-1602.06539"/></url>
<url><loc>https://scifaro.com/en/abs/semi-markov-switching-vector-autoregressive-model-based-anomaly-detection-in-aviation-systems-1602.06550</loc><lastmod>2016-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-markov-switching-vector-autoregressive-model-based-anomaly-detection-in-aviation-systems-1602.06550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-markov-switching-vector-autoregressive-model-based-anomaly-detection-in-aviation-systems-1602.06550"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-in-finance-1602.06561</loc><lastmod>2018-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-in-finance-1602.06561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-in-finance-1602.06561"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-structured-probability-matrices-1602.06586</loc><lastmod>2018-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-structured-probability-matrices-1602.06586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-structured-probability-matrices-1602.06586"/></url>
<url><loc>https://scifaro.com/en/abs/structured-learning-of-binary-codes-with-column-generation-1602.06654</loc><lastmod>2016-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-learning-of-binary-codes-with-column-generation-1602.06654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-learning-of-binary-codes-with-column-generation-1602.06654"/></url>
<url><loc>https://scifaro.com/en/abs/an-effective-and-efficient-approach-for-clusterability-evaluation-1602.06687</loc><lastmod>2016-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-effective-and-efficient-approach-for-clusterability-evaluation-1602.06687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-effective-and-efficient-approach-for-clusterability-evaluation-1602.06687"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-monte-carlo-objectives-1602.06725</loc><lastmod>2016-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-monte-carlo-objectives-1602.06725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-monte-carlo-objectives-1602.06725"/></url>
<url><loc>https://scifaro.com/en/abs/convexification-of-learning-from-constraints-1602.06746</loc><lastmod>2016-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convexification-of-learning-from-constraints-1602.06746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convexification-of-learning-from-constraints-1602.06746"/></url>
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<url><loc>https://scifaro.com/en/abs/understanding-visual-concepts-with-continuation-learning-1602.06822</loc><lastmod>2016-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-visual-concepts-with-continuation-learning-1602.06822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-visual-concepts-with-continuation-learning-1602.06822"/></url>
<url><loc>https://scifaro.com/en/abs/higher-order-low-rank-regression-1602.06863</loc><lastmod>2016-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higher-order-low-rank-regression-1602.06863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higher-order-low-rank-regression-1602.06863"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-pca-matching-matrix-bernstein-and-near-optimal-finite-sample-guarantees-for-oja-s-algorithm-1602.06929</loc><lastmod>2016-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-pca-matching-matrix-bernstein-and-near-optimal-finite-sample-guarantees-for-oja-s-algorithm-1602.06929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-pca-matching-matrix-bernstein-and-near-optimal-finite-sample-guarantees-for-oja-s-algorithm-1602.06929"/></url>
<url><loc>https://scifaro.com/en/abs/latent-skill-embedding-for-personalized-lesson-sequence-recommendation-1602.07029</loc><lastmod>2016-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-skill-embedding-for-personalized-lesson-sequence-recommendation-1602.07029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-skill-embedding-for-personalized-lesson-sequence-recommendation-1602.07029"/></url>
<url><loc>https://scifaro.com/en/abs/submodular-learning-and-covering-with-response-dependent-costs-1602.07120</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/submodular-learning-and-covering-with-response-dependent-costs-1602.07120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/submodular-learning-and-covering-with-response-dependent-costs-1602.07120"/></url>
<url><loc>https://scifaro.com/en/abs/a-multivariate-biomarker-for-parkinson-s-disease-1602.07264</loc><lastmod>2016-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multivariate-biomarker-for-parkinson-s-disease-1602.07264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multivariate-biomarker-for-parkinson-s-disease-1602.07264"/></url>
<url><loc>https://scifaro.com/en/abs/search-improves-label-for-active-learning-1602.07265</loc><lastmod>2016-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/search-improves-label-for-active-learning-1602.07265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/search-improves-label-for-active-learning-1602.07265"/></url>
<url><loc>https://scifaro.com/en/abs/stuck-in-a-what-adventures-in-weight-space-1602.07320</loc><lastmod>2016-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stuck-in-a-what-adventures-in-weight-space-1602.07320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stuck-in-a-what-adventures-in-weight-space-1602.07320"/></url>
<url><loc>https://scifaro.com/en/abs/ensuring-rapid-mixing-and-low-bias-for-asynchronous-gibbs-sampling-1602.07415</loc><lastmod>2016-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensuring-rapid-mixing-and-low-bias-for-asynchronous-gibbs-sampling-1602.07415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensuring-rapid-mixing-and-low-bias-for-asynchronous-gibbs-sampling-1602.07415"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-generate-with-memory-1602.07416</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-generate-with-memory-1602.07416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-generate-with-memory-1602.07416"/></url>
<url><loc>https://scifaro.com/en/abs/max-margin-nonparametric-latent-feature-models-for-link-prediction-1602.07428</loc><lastmod>2016-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-margin-nonparametric-latent-feature-models-for-link-prediction-1602.07428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-margin-nonparametric-latent-feature-models-for-link-prediction-1602.07428"/></url>
<url><loc>https://scifaro.com/en/abs/feature-ranking-for-multi-label-classification-using-markov-networks-1602.07464</loc><lastmod>2016-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-ranking-for-multi-label-classification-using-markov-networks-1602.07464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-ranking-for-multi-label-classification-using-markov-networks-1602.07464"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-consistency-and-order-specification-for-logistic-classifier-chains-in-multi-label-learning-1602.07466</loc><lastmod>2016-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-consistency-and-order-specification-for-logistic-classifier-chains-in-multi-label-learning-1602.07466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-consistency-and-order-specification-for-logistic-classifier-chains-in-multi-label-learning-1602.07466"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-from-positive-and-unlabeled-data-1602.07495</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-from-positive-and-unlabeled-data-1602.07495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-from-positive-and-unlabeled-data-1602.07495"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-approach-to-the-data-description-problem-1602.07507</loc><lastmod>2016-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-approach-to-the-data-description-problem-1602.07507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-approach-to-the-data-description-problem-1602.07507"/></url>
<url><loc>https://scifaro.com/en/abs/group-equivariant-convolutional-networks-1602.07576</loc><lastmod>2016-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-equivariant-convolutional-networks-1602.07576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-equivariant-convolutional-networks-1602.07576"/></url>
<url><loc>https://scifaro.com/en/abs/a-model-of-selective-advantage-for-the-efficient-inference-of-cancer-clonal-evolution-1602.07614</loc><lastmod>2016-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-model-of-selective-advantage-for-the-efficient-inference-of-cancer-clonal-evolution-1602.07614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-model-of-selective-advantage-for-the-efficient-inference-of-cancer-clonal-evolution-1602.07614"/></url>
<url><loc>https://scifaro.com/en/abs/learning-values-across-many-orders-of-magnitude-1602.07714</loc><lastmod>2016-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-values-across-many-orders-of-magnitude-1602.07714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-values-across-many-orders-of-magnitude-1602.07714"/></url>
<url><loc>https://scifaro.com/en/abs/fast-nonsmooth-regularized-risk-minimization-with-continuation-1602.07844</loc><lastmod>2016-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-nonsmooth-regularized-risk-minimization-with-continuation-1602.07844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-nonsmooth-regularized-risk-minimization-with-continuation-1602.07844"/></url>
<url><loc>https://scifaro.com/en/abs/weight-normalization-a-simple-reparameterization-to-accelerate-training-of-deep-neural-networks-1602.07868</loc><lastmod>2016-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weight-normalization-a-simple-reparameterization-to-accelerate-training-of-deep-neural-networks-1602.07868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weight-normalization-a-simple-reparameterization-to-accelerate-training-of-deep-neural-networks-1602.07868"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-is-asymptotically-optimal-in-general-environments-1602.07905</loc><lastmod>2016-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-is-asymptotically-optimal-in-general-environments-1602.07905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-is-asymptotically-optimal-in-general-environments-1602.07905"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-conflict-propagation-sequence-learning-in-a-recurrent-deep-neural-network-1602.08118</loc><lastmod>2016-02-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-conflict-propagation-sequence-learning-in-a-recurrent-deep-neural-network-1602.08118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-conflict-propagation-sequence-learning-in-a-recurrent-deep-neural-network-1602.08118"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-abstain-from-binary-prediction-1602.08151</loc><lastmod>2016-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-abstain-from-binary-prediction-1602.08151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-abstain-from-binary-prediction-1602.08151"/></url>
<url><loc>https://scifaro.com/en/abs/deepspark-a-spark-based-distributed-deep-learning-framework-for-commodity-clusters-1602.08191</loc><lastmod>2016-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepspark-a-spark-based-distributed-deep-learning-framework-for-commodity-clusters-1602.08191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepspark-a-spark-based-distributed-deep-learning-framework-for-commodity-clusters-1602.08191"/></url>
<url><loc>https://scifaro.com/en/abs/architectural-complexity-measures-of-recurrent-neural-networks-1602.08210</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/architectural-complexity-measures-of-recurrent-neural-networks-1602.08210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/architectural-complexity-measures-of-recurrent-neural-networks-1602.08210"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-detection-of-non-technical-losses-in-imbalanced-data-sets-1602.08350</loc><lastmod>2017-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-detection-of-non-technical-losses-in-imbalanced-data-sets-1602.08350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-detection-of-non-technical-losses-in-imbalanced-data-sets-1602.08350"/></url>
<url><loc>https://scifaro.com/en/abs/simple-bayesian-algorithms-for-best-arm-identification-1602.08448</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-bayesian-algorithms-for-best-arm-identification-1602.08448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-bayesian-algorithms-for-best-arm-identification-1602.08448"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-practical-linear-temporal-difference-learning-1602.08771</loc><lastmod>2016-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-practical-linear-temporal-difference-learning-1602.08771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-practical-linear-temporal-difference-learning-1602.08771"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-learning-of-stochastic-bandits-over-a-social-network-1602.08886</loc><lastmod>2016-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-learning-of-stochastic-bandits-over-a-social-network-1602.08886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-learning-of-stochastic-bandits-over-a-social-network-1602.08886"/></url>
<url><loc>https://scifaro.com/en/abs/even-trolls-are-useful-efficient-link-classification-in-signed-networks-1602.08986</loc><lastmod>2016-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/even-trolls-are-useful-efficient-link-classification-in-signed-networks-1602.08986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/even-trolls-are-useful-efficient-link-classification-in-signed-networks-1602.08986"/></url>
<url><loc>https://scifaro.com/en/abs/easy-monotonic-policy-iteration-1602.09118</loc><lastmod>2016-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/easy-monotonic-policy-iteration-1602.09118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/easy-monotonic-policy-iteration-1602.09118"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-diseases-from-unstructured-text-a-vocabulary-driven-word2vec-approach-1603.00106</loc><lastmod>2016-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-diseases-from-unstructured-text-a-vocabulary-driven-word2vec-approach-1603.00106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-diseases-from-unstructured-text-a-vocabulary-driven-word2vec-approach-1603.00106"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-activation-functions-1603.00391</loc><lastmod>2016-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-activation-functions-1603.00391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-activation-functions-1603.00391"/></url>
<url><loc>https://scifaro.com/en/abs/guided-cost-learning-deep-inverse-optimal-control-via-policy-optimization-1603.00448</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guided-cost-learning-deep-inverse-optimal-control-via-policy-optimization-1603.00448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guided-cost-learning-deep-inverse-optimal-control-via-policy-optimization-1603.00448"/></url>
<url><loc>https://scifaro.com/en/abs/solving-combinatorial-games-using-products-projections-and-lexicographically-optimal-bases-1603.00522</loc><lastmod>2016-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-combinatorial-games-using-products-projections-and-lexicographically-optimal-bases-1603.00522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-combinatorial-games-using-products-projections-and-lexicographically-optimal-bases-1603.00522"/></url>
<url><loc>https://scifaro.com/en/abs/lofs-library-of-online-streaming-feature-selection-1603.00531</loc><lastmod>2016-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lofs-library-of-online-streaming-feature-selection-1603.00531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lofs-library-of-online-streaming-feature-selection-1603.00531"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-behavior-of-ell-p-based-laplacian-regularization-in-semi-supervised-learning-1603.00564</loc><lastmod>2016-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-behavior-of-ell-p-based-laplacian-regularization-in-semi-supervised-learning-1603.00564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-behavior-of-ell-p-based-laplacian-regularization-in-semi-supervised-learning-1603.00564"/></url>
<url><loc>https://scifaro.com/en/abs/without-replacement-sampling-for-stochastic-gradient-methods-convergence-results-and-application-to-distributed-optimization-1603.00570</loc><lastmod>2016-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/without-replacement-sampling-for-stochastic-gradient-methods-convergence-results-and-application-to-distributed-optimization-1603.00570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/without-replacement-sampling-for-stochastic-gradient-methods-convergence-results-and-application-to-distributed-optimization-1603.00570"/></url>
<url><loc>https://scifaro.com/en/abs/plato-policy-learning-using-adaptive-trajectory-optimization-1603.00622</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plato-policy-learning-using-adaptive-trajectory-optimization-1603.00622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plato-policy-learning-using-adaptive-trajectory-optimization-1603.00622"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-relational-model-benchmark-generation-1603.00709</loc><lastmod>2016-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-relational-model-benchmark-generation-1603.00709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-relational-model-benchmark-generation-1603.00709"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-deep-q-learning-with-model-based-acceleration-1603.00748</loc><lastmod>2016-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-deep-q-learning-with-model-based-acceleration-1603.00748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-deep-q-learning-with-model-based-acceleration-1603.00748"/></url>
<url><loc>https://scifaro.com/en/abs/equity-forecast-predicting-long-term-stock-price-movement-using-machine-learning-1603.00751</loc><lastmod>2024-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equity-forecast-predicting-long-term-stock-price-movement-using-machine-learning-1603.00751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equity-forecast-predicting-long-term-stock-price-movement-using-machine-learning-1603.00751"/></url>
<url><loc>https://scifaro.com/en/abs/training-input-output-recurrent-neural-networks-through-spectral-methods-1603.00954</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-input-output-recurrent-neural-networks-through-spectral-methods-1603.00954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-input-output-recurrent-neural-networks-through-spectral-methods-1603.00954"/></url>
<url><loc>https://scifaro.com/en/abs/learning-functions-when-is-deep-better-than-shallow-1603.00988</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-functions-when-is-deep-better-than-shallow-1603.00988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-functions-when-is-deep-better-than-shallow-1603.00988"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-the-sequence-of-brain-volumes-by-local-mesh-models-for-brain-decoding-1603.01067</loc><lastmod>2016-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-the-sequence-of-brain-volumes-by-local-mesh-models-for-brain-decoding-1603.01067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-the-sequence-of-brain-volumes-by-local-mesh-models-for-brain-decoding-1603.01067"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-from-self-play-in-imperfect-information-games-1603.01121</loc><lastmod>2016-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-from-self-play-in-imperfect-information-games-1603.01121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-from-self-play-in-imperfect-information-games-1603.01121"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-sequence-labeling-via-bi-directional-lstm-cnns-crf-1603.01354</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-sequence-labeling-via-bi-directional-lstm-cnns-crf-1603.01354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-sequence-labeling-via-bi-directional-lstm-cnns-crf-1603.01354"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-view-of-localized-kernel-learning-1603.01374</loc><lastmod>2016-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-view-of-localized-kernel-learning-1603.01374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-view-of-localized-kernel-learning-1603.01374"/></url>
<url><loc>https://scifaro.com/en/abs/network-morphism-1603.01670</loc><lastmod>2016-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-morphism-1603.01670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-morphism-1603.01670"/></url>
<url><loc>https://scifaro.com/en/abs/classifier-ensemble-creation-via-false-labelling-1603.01716</loc><lastmod>2016-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifier-ensemble-creation-via-false-labelling-1603.01716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifier-ensemble-creation-via-false-labelling-1603.01716"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-to-rank-with-feedback-at-the-top-1603.01855</loc><lastmod>2016-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-to-rank-with-feedback-at-the-top-1603.01855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-to-rank-with-feedback-at-the-top-1603.01855"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-error-bounds-for-learning-to-rank-does-the-length-of-document-lists-matter-1603.01860</loc><lastmod>2016-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-error-bounds-for-learning-to-rank-does-the-length-of-document-lists-matter-1603.01860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-error-bounds-for-learning-to-rank-does-the-length-of-document-lists-matter-1603.01860"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-advertisement-recommendation-a-ranking-approach-to-address-the-ubiquitous-click-sparsity-problem-1603.01870</loc><lastmod>2016-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-advertisement-recommendation-a-ranking-approach-to-address-the-ubiquitous-click-sparsity-problem-1603.01870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-advertisement-recommendation-a-ranking-approach-to-address-the-ubiquitous-click-sparsity-problem-1603.01870"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-constrained-maximum-entropy-framework-for-learning-from-multi-instance-data-1603.01901</loc><lastmod>2016-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-constrained-maximum-entropy-framework-for-learning-from-multi-instance-data-1603.01901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-constrained-maximum-entropy-framework-for-learning-from-multi-instance-data-1603.01901"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-policy-evaluation-1603.02010</loc><lastmod>2016-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-policy-evaluation-1603.02010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-policy-evaluation-1603.02010"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-dictionary-for-least-squares-representation-1603.02074</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-dictionary-for-least-squares-representation-1603.02074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-dictionary-for-least-squares-representation-1603.02074"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-multi-task-learning-with-shared-representation-1603.02185</loc><lastmod>2016-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-multi-task-learning-with-shared-representation-1603.02185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-multi-task-learning-with-shared-representation-1603.02185"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-regression-for-out-of-sample-extension-1603.02194</loc><lastmod>2016-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-regression-for-out-of-sample-extension-1603.02194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-regression-for-out-of-sample-extension-1603.02194"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hand-eye-coordination-for-robotic-grasping-with-deep-learning-and-large-scale-data-collection-1603.02199</loc><lastmod>2016-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hand-eye-coordination-for-robotic-grasping-with-deep-learning-and-large-scale-data-collection-1603.02199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hand-eye-coordination-for-robotic-grasping-with-deep-learning-and-large-scale-data-collection-1603.02199"/></url>
<url><loc>https://scifaro.com/en/abs/online-sparse-linear-regression-1603.02250</loc><lastmod>2016-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-sparse-linear-regression-1603.02250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-sparse-linear-regression-1603.02250"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-proportion-estimation-via-kernel-embedding-of-distributions-1603.02501</loc><lastmod>2016-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-proportion-estimation-via-kernel-embedding-of-distributions-1603.02501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-proportion-estimation-via-kernel-embedding-of-distributions-1603.02501"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-inconsistency-of-ell-1-penalised-sparse-precision-matrix-estimation-1603.02532</loc><lastmod>2016-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-inconsistency-of-ell-1-penalised-sparse-precision-matrix-estimation-1603.02532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-inconsistency-of-ell-1-penalised-sparse-precision-matrix-estimation-1603.02532"/></url>
<url><loc>https://scifaro.com/en/abs/batched-lazy-decision-trees-1603.02578</loc><lastmod>2016-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batched-lazy-decision-trees-1603.02578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batched-lazy-decision-trees-1603.02578"/></url>
<url><loc>https://scifaro.com/en/abs/online-but-accurate-inference-for-latent-variable-models-with-local-gibbs-sampling-1603.02644</loc><lastmod>2018-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-but-accurate-inference-for-latent-variable-models-with-local-gibbs-sampling-1603.02644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-but-accurate-inference-for-latent-variable-models-with-local-gibbs-sampling-1603.02644"/></url>
<url><loc>https://scifaro.com/en/abs/rank-aggregation-for-course-sequence-discovery-1603.02695</loc><lastmod>2016-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-aggregation-for-course-sequence-discovery-1603.02695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-aggregation-for-course-sequence-discovery-1603.02695"/></url>
<url><loc>https://scifaro.com/en/abs/best-of-k-bandits-1603.02752</loc><lastmod>2016-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-of-k-bandits-1603.02752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-of-k-bandits-1603.02752"/></url>
<url><loc>https://scifaro.com/en/abs/xgboost-a-scalable-tree-boosting-system-1603.02754</loc><lastmod>2016-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xgboost-a-scalable-tree-boosting-system-1603.02754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xgboost-a-scalable-tree-boosting-system-1603.02754"/></url>
<url><loc>https://scifaro.com/en/abs/megaman-manifold-learning-with-millions-of-points-1603.02763</loc><lastmod>2016-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/megaman-manifold-learning-with-millions-of-points-1603.02763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/megaman-manifold-learning-with-millions-of-points-1603.02763"/></url>
<url><loc>https://scifaro.com/en/abs/faster-learning-of-deep-stacked-autoencoders-on-multi-core-systems-using-synchronized-layer-wise-pre-training-1603.02836</loc><lastmod>2016-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-learning-of-deep-stacked-autoencoders-on-multi-core-systems-using-synchronized-layer-wise-pre-training-1603.02836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-learning-of-deep-stacked-autoencoders-on-multi-core-systems-using-synchronized-layer-wise-pre-training-1603.02836"/></url>
<url><loc>https://scifaro.com/en/abs/starting-small-learning-with-adaptive-sample-sizes-1603.02839</loc><lastmod>2016-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/starting-small-learning-with-adaptive-sample-sizes-1603.02839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/starting-small-learning-with-adaptive-sample-sizes-1603.02839"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-passthrough-neural-networks-1603.03116</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-passthrough-neural-networks-1603.03116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-passthrough-neural-networks-1603.03116"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-comparisons-of-positive-unlabeled-learning-against-positive-negative-learning-1603.03130</loc><lastmod>2016-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-comparisons-of-positive-unlabeled-learning-against-positive-negative-learning-1603.03130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-comparisons-of-positive-unlabeled-learning-against-positive-negative-learning-1603.03130"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-linear-causal-inference-for-irregularly-sampled-time-series-with-long-range-dependencies-1603.03336</loc><lastmod>2016-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-linear-causal-inference-for-irregularly-sampled-time-series-with-long-range-dependencies-1603.03336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-linear-causal-inference-for-irregularly-sampled-time-series-with-long-range-dependencies-1603.03336"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-imbalanced-multiclass-sequential-data-streams-using-dynamically-weighted-conditional-random-fields-1603.03627</loc><lastmod>2016-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-imbalanced-multiclass-sequential-data-streams-using-dynamically-weighted-conditional-random-fields-1603.03627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-imbalanced-multiclass-sequential-data-streams-using-dynamically-weighted-conditional-random-fields-1603.03627"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-forward-propagation-of-time-sequences-in-convolutional-neural-networks-using-deep-shifting-1603.03657</loc><lastmod>2016-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-forward-propagation-of-time-sequences-in-convolutional-neural-networks-using-deep-shifting-1603.03657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-forward-propagation-of-time-sequences-in-convolutional-neural-networks-using-deep-shifting-1603.03657"/></url>
<url><loc>https://scifaro.com/en/abs/searching-for-topological-symmetry-in-data-haystack-1603.03703</loc><lastmod>2016-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/searching-for-topological-symmetry-in-data-haystack-1603.03703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/searching-for-topological-symmetry-in-data-haystack-1603.03703"/></url>
<url><loc>https://scifaro.com/en/abs/cost-sensitive-learning-for-utility-optimization-in-online-advertising-auctions-1603.03713</loc><lastmod>2017-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-sensitive-learning-for-utility-optimization-in-online-advertising-auctions-1603.03713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-sensitive-learning-for-utility-optimization-in-online-advertising-auctions-1603.03713"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-free-learning-with-local-queries-1603.03714</loc><lastmod>2016-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-free-learning-with-local-queries-1603.03714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-free-learning-with-local-queries-1603.03714"/></url>
<url><loc>https://scifaro.com/en/abs/a-recursive-born-approach-to-nonlinear-inverse-scattering-1603.03768</loc><lastmod>2016-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-recursive-born-approach-to-nonlinear-inverse-scattering-1603.03768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-recursive-born-approach-to-nonlinear-inverse-scattering-1603.03768"/></url>
<url><loc>https://scifaro.com/en/abs/pufferfish-privacy-mechanisms-for-correlated-data-1603.03977</loc><lastmod>2017-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pufferfish-privacy-mechanisms-for-correlated-data-1603.03977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pufferfish-privacy-mechanisms-for-correlated-data-1603.03977"/></url>
<url><loc>https://scifaro.com/en/abs/fast-learning-from-distributed-datasets-without-entity-matching-1603.04002</loc><lastmod>2016-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-learning-from-distributed-datasets-without-entity-matching-1603.04002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-learning-from-distributed-datasets-without-entity-matching-1603.04002"/></url>
<url><loc>https://scifaro.com/en/abs/top-k-ranking-from-pairwise-comparisons-when-spectral-ranking-is-optimal-1603.04153</loc><lastmod>2016-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/top-k-ranking-from-pairwise-comparisons-when-spectral-ranking-is-optimal-1603.04153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/top-k-ranking-from-pairwise-comparisons-when-spectral-ranking-is-optimal-1603.04153"/></url>
<url><loc>https://scifaro.com/en/abs/online-isotonic-regression-1603.04190</loc><lastmod>2016-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-isotonic-regression-1603.04190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-isotonic-regression-1603.04190"/></url>
<url><loc>https://scifaro.com/en/abs/item2vec-neural-item-embedding-for-collaborative-filtering-1603.04259</loc><lastmod>2017-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/item2vec-neural-item-embedding-for-collaborative-filtering-1603.04259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/item2vec-neural-item-embedding-for-collaborative-filtering-1603.04259"/></url>
<url><loc>https://scifaro.com/en/abs/universal-probability-free-prediction-1603.04283</loc><lastmod>2017-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-probability-free-prediction-1603.04283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-probability-free-prediction-1603.04283"/></url>
<url><loc>https://scifaro.com/en/abs/learning-network-of-multivariate-hawkes-processes-a-time-series-approach-1603.04319</loc><lastmod>2016-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-network-of-multivariate-hawkes-processes-a-time-series-approach-1603.04319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-network-of-multivariate-hawkes-processes-a-time-series-approach-1603.04319"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimal-algorithm-for-bandit-convex-optimization-1603.04350</loc><lastmod>2016-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimal-algorithm-for-bandit-convex-optimization-1603.04350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimal-algorithm-for-bandit-convex-optimization-1603.04350"/></url>
<url><loc>https://scifaro.com/en/abs/criteria-of-efficiency-for-conformal-prediction-1603.04416</loc><lastmod>2016-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/criteria-of-efficiency-for-conformal-prediction-1603.04416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/criteria-of-efficiency-for-conformal-prediction-1603.04416"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-predictors-for-compound-activity-prediction-1603.04506</loc><lastmod>2016-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-predictors-for-compound-activity-prediction-1603.04506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-predictors-for-compound-activity-prediction-1603.04506"/></url>
<url><loc>https://scifaro.com/en/abs/matching-while-learning-1603.04549</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matching-while-learning-1603.04549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matching-while-learning-1603.04549"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-of-deep-convolutional-neural-networks-for-learning-to-detect-retinal-vessels-in-fundus-images-1603.04833</loc><lastmod>2016-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-of-deep-convolutional-neural-networks-for-learning-to-detect-retinal-vessels-in-fundus-images-1603.04833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-of-deep-convolutional-neural-networks-for-learning-to-detect-retinal-vessels-in-fundus-images-1603.04833"/></url>
<url><loc>https://scifaro.com/en/abs/data-clustering-and-graph-partitioning-via-simulated-mixing-1603.04918</loc><lastmod>2016-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-clustering-and-graph-partitioning-via-simulated-mixing-1603.04918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-clustering-and-graph-partitioning-via-simulated-mixing-1603.04918"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-complexity-of-one-class-svm-for-multiple-instance-learning-1603.04947</loc><lastmod>2016-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-complexity-of-one-class-svm-for-multiple-instance-learning-1603.04947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-complexity-of-one-class-svm-for-multiple-instance-learning-1603.04947"/></url>
<url><loc>https://scifaro.com/en/abs/online-optimization-in-dynamic-environments-improved-regret-rates-for-strongly-convex-problems-1603.04954</loc><lastmod>2016-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-optimization-in-dynamic-environments-improved-regret-rates-for-strongly-convex-problems-1603.04954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-optimization-in-dynamic-environments-improved-regret-rates-for-strongly-convex-problems-1603.04954"/></url>
<url><loc>https://scifaro.com/en/abs/scaled-stochastic-gradient-descent-for-low-rank-matrix-completion-1603.04989</loc><lastmod>2016-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaled-stochastic-gradient-descent-for-low-rank-matrix-completion-1603.04989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaled-stochastic-gradient-descent-for-low-rank-matrix-completion-1603.04989"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-as-a-multiagent-coordination-problem-1603.05152</loc><lastmod>2016-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-as-a-multiagent-coordination-problem-1603.05152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-as-a-multiagent-coordination-problem-1603.05152"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-inexact-damped-newton-method-data-partitioning-and-load-balancing-1603.05191</loc><lastmod>2016-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-inexact-damped-newton-method-data-partitioning-and-load-balancing-1603.05191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-inexact-damped-newton-method-data-partitioning-and-load-balancing-1603.05191"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-improving-convolutional-neural-networks-via-concatenated-rectified-linear-units-1603.05201</loc><lastmod>2016-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-improving-convolutional-neural-networks-via-concatenated-rectified-linear-units-1603.05201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-improving-convolutional-neural-networks-via-concatenated-rectified-linear-units-1603.05201"/></url>
<url><loc>https://scifaro.com/en/abs/cascading-bandits-for-large-scale-recommendation-problems-1603.05359</loc><lastmod>2016-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cascading-bandits-for-large-scale-recommendation-problems-1603.05359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cascading-bandits-for-large-scale-recommendation-problems-1603.05359"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-deep-neural-network-training-with-inconsistent-stochastic-gradient-descent-1603.05544</loc><lastmod>2017-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-deep-neural-network-training-with-inconsistent-stochastic-gradient-descent-1603.05544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-deep-neural-network-training-with-inconsistent-stochastic-gradient-descent-1603.05544"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-algorithms-for-news-and-scientific-literature-recommendation-submodular-maximization-with-a-d-knapsack-constraint-1603.05614</loc><lastmod>2016-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-algorithms-for-news-and-scientific-literature-recommendation-submodular-maximization-with-a-d-knapsack-constraint-1603.05614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-algorithms-for-news-and-scientific-literature-recommendation-submodular-maximization-with-a-d-knapsack-constraint-1603.05614"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-embeddings-of-latent-variable-models-for-structured-data-1603.05629</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-embeddings-of-latent-variable-models-for-structured-data-1603.05629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-embeddings-of-latent-variable-models-for-structured-data-1603.05629"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-between-deep-neural-nets-and-kernel-acoustic-models-for-speech-recognition-1603.05800</loc><lastmod>2016-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-between-deep-neural-nets-and-kernel-acoustic-models-for-speech-recognition-1603.05800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-between-deep-neural-nets-and-kernel-acoustic-models-for-speech-recognition-1603.05800"/></url>
<url><loc>https://scifaro.com/en/abs/n-ary-error-correcting-coding-scheme-1603.05850</loc><lastmod>2016-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/n-ary-error-correcting-coding-scheme-1603.05850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/n-ary-error-correcting-coding-scheme-1603.05850"/></url>
<url><loc>https://scifaro.com/en/abs/document-neural-autoregressive-distribution-estimation-1603.05962</loc><lastmod>2016-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/document-neural-autoregressive-distribution-estimation-1603.05962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/document-neural-autoregressive-distribution-estimation-1603.05962"/></url>
<url><loc>https://scifaro.com/en/abs/l0-norm-sparse-graph-regularized-svd-for-biclustering-1603.06035</loc><lastmod>2016-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l0-norm-sparse-graph-regularized-svd-for-biclustering-1603.06035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l0-norm-sparse-graph-regularized-svd-for-biclustering-1603.06035"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-methods-and-recommender-systems-1603.06038</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-methods-and-recommender-systems-1603.06038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-methods-and-recommender-systems-1603.06038"/></url>
<url><loc>https://scifaro.com/en/abs/fast-dpp-sampling-for-nystr-om-with-application-to-kernel-methods-1603.06052</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-dpp-sampling-for-nystr-om-with-application-to-kernel-methods-1603.06052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-dpp-sampling-for-nystr-om-with-application-to-kernel-methods-1603.06052"/></url>
<url><loc>https://scifaro.com/en/abs/joint-stochastic-approximation-learning-of-helmholtz-machines-1603.06170</loc><lastmod>2018-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-stochastic-approximation-learning-of-helmholtz-machines-1603.06170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-stochastic-approximation-learning-of-helmholtz-machines-1603.06170"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-prediction-with-expert-advice-1603.06265</loc><lastmod>2016-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-prediction-with-expert-advice-1603.06265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-prediction-with-expert-advice-1603.06265"/></url>
<url><loc>https://scifaro.com/en/abs/harnessing-deep-neural-networks-with-logic-rules-1603.06318</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harnessing-deep-neural-networks-with-logic-rules-1603.06318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harnessing-deep-neural-networks-with-logic-rules-1603.06318"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dexterous-manipulation-for-a-soft-robotic-hand-from-human-demonstration-1603.06348</loc><lastmod>2017-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dexterous-manipulation-for-a-soft-robotic-hand-from-human-demonstration-1603.06348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dexterous-manipulation-for-a-soft-robotic-hand-from-human-demonstration-1603.06348"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-low-rank-experts-1603.06352</loc><lastmod>2016-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-low-rank-experts-1603.06352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-low-rank-experts-1603.06352"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-in-bioinformatics-1603.06430</loc><lastmod>2016-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-in-bioinformatics-1603.06430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-in-bioinformatics-1603.06430"/></url>
<url><loc>https://scifaro.com/en/abs/hard-clustering-with-gaussian-mixture-models-1603.06478</loc><lastmod>2016-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hard-clustering-with-gaussian-mixture-models-1603.06478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hard-clustering-with-gaussian-mixture-models-1603.06478"/></url>
<url><loc>https://scifaro.com/en/abs/hyperband-a-novel-bandit-based-approach-to-hyperparameter-optimization-1603.06560</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperband-a-novel-bandit-based-approach-to-hyperparameter-optimization-1603.06560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperband-a-novel-bandit-based-approach-to-hyperparameter-optimization-1603.06560"/></url>
<url><loc>https://scifaro.com/en/abs/variational-autoencoders-for-feature-detection-of-magnetic-resonance-imaging-data-1603.06624</loc><lastmod>2016-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-autoencoders-for-feature-detection-of-magnetic-resonance-imaging-data-1603.06624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-autoencoders-for-feature-detection-of-magnetic-resonance-imaging-data-1603.06624"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-learning-auto-encoder-1603.06653</loc><lastmod>2016-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-learning-auto-encoder-1603.06653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-learning-auto-encoder-1603.06653"/></url>
<url><loc>https://scifaro.com/en/abs/a-self-paced-regularization-framework-for-multi-label-learning-1603.06708</loc><lastmod>2016-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-self-paced-regularization-framework-for-multi-label-learning-1603.06708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-self-paced-regularization-framework-for-multi-label-learning-1603.06708"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-random-parallel-stochastic-methods-for-large-scale-learning-1603.06782</loc><lastmod>2016-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-random-parallel-stochastic-methods-for-large-scale-learning-1603.06782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-random-parallel-stochastic-methods-for-large-scale-learning-1603.06782"/></url>
<url><loc>https://scifaro.com/en/abs/feeling-the-bern-adaptive-estimators-for-bernoulli-probabilities-of-pairwise-comparisons-1603.06881</loc><lastmod>2016-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feeling-the-bern-adaptive-estimators-for-bernoulli-probabilities-of-pairwise-comparisons-1603.06881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feeling-the-bern-adaptive-estimators-for-bernoulli-probabilities-of-pairwise-comparisons-1603.06881"/></url>
<url><loc>https://scifaro.com/en/abs/debugging-machine-learning-tasks-1603.07292</loc><lastmod>2016-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/debugging-machine-learning-tasks-1603.07292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/debugging-machine-learning-tasks-1603.07292"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-theory-and-practice-of-privacy-preserving-bayesian-data-analysis-1603.07294</loc><lastmod>2016-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-theory-and-practice-of-privacy-preserving-bayesian-data-analysis-1603.07294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-theory-and-practice-of-privacy-preserving-bayesian-data-analysis-1603.07294"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixtures-of-plackett-luce-models-1603.07323</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixtures-of-plackett-luce-models-1603.07323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixtures-of-plackett-luce-models-1603.07323"/></url>
<url><loc>https://scifaro.com/en/abs/acceleration-of-deep-neural-network-training-with-resistive-cross-point-devices-1603.07341</loc><lastmod>2017-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/acceleration-of-deep-neural-network-training-with-resistive-cross-point-devices-1603.07341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/acceleration-of-deep-neural-network-training-with-resistive-cross-point-devices-1603.07341"/></url>
<url><loc>https://scifaro.com/en/abs/a-reconfigurable-low-power-high-throughput-architecture-for-deep-network-training-1603.07400</loc><lastmod>2016-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reconfigurable-low-power-high-throughput-architecture-for-deep-network-training-1603.07400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reconfigurable-low-power-high-throughput-architecture-for-deep-network-training-1603.07400"/></url>
<url><loc>https://scifaro.com/en/abs/deep-extreme-feature-extraction-new-mva-method-for-searching-particles-in-high-energy-physics-1603.07454</loc><lastmod>2016-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-extreme-feature-extraction-new-mva-method-for-searching-particles-in-high-energy-physics-1603.07454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-extreme-feature-extraction-new-mva-method-for-searching-particles-in-high-energy-physics-1603.07454"/></url>
<url><loc>https://scifaro.com/en/abs/source-localization-on-graphs-via-l1-recovery-and-spectral-graph-theory-1603.07584</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/source-localization-on-graphs-via-l1-recovery-and-spectral-graph-theory-1603.07584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/source-localization-on-graphs-via-l1-recovery-and-spectral-graph-theory-1603.07584"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserved-big-data-analysis-based-on-asymmetric-imputation-kernels-and-multiside-similarities-1603.07828</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserved-big-data-analysis-based-on-asymmetric-imputation-kernels-and-multiside-similarities-1603.07828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserved-big-data-analysis-based-on-asymmetric-imputation-kernels-and-multiside-similarities-1603.07828"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-at-scale-and-at-ease-1603.07846</loc><lastmod>2016-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-at-scale-and-at-ease-1603.07846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-at-scale-and-at-ease-1603.07846"/></url>
<url><loc>https://scifaro.com/en/abs/the-asymptotic-performance-of-linear-echo-state-neural-networks-1603.07866</loc><lastmod>2016-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-asymptotic-performance-of-linear-echo-state-neural-networks-1603.07866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-asymptotic-performance-of-linear-echo-state-neural-networks-1603.07866"/></url>
<url><loc>https://scifaro.com/en/abs/hybridization-of-expectation-maximization-and-k-means-algorithms-for-better-clustering-performance-1603.07879</loc><lastmod>2016-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybridization-of-expectation-maximization-and-k-means-algorithms-for-better-clustering-performance-1603.07879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybridization-of-expectation-maximization-and-k-means-algorithms-for-better-clustering-performance-1603.07879"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-simultaneous-preservation-of-privacy-and-community-structure-in-anonymized-networks-1603.08028</loc><lastmod>2016-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-simultaneous-preservation-of-privacy-and-community-structure-in-anonymized-networks-1603.08028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-simultaneous-preservation-of-privacy-and-community-structure-in-anonymized-networks-1603.08028"/></url>
<url><loc>https://scifaro.com/en/abs/resnet-in-resnet-generalizing-residual-architectures-1603.08029</loc><lastmod>2016-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resnet-in-resnet-generalizing-residual-architectures-1603.08029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resnet-in-resnet-generalizing-residual-architectures-1603.08029"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-detection-of-mixture-distributions-with-applications-to-the-most-biased-coin-problem-1603.08037</loc><lastmod>2016-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-detection-of-mixture-distributions-with-applications-to-the-most-biased-coin-problem-1603.08037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-detection-of-mixture-distributions-with-applications-to-the-most-biased-coin-problem-1603.08037"/></url>
<url><loc>https://scifaro.com/en/abs/non-greedy-l21-norm-maximization-for-principal-component-analysis-1603.08293</loc><lastmod>2016-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-greedy-l21-norm-maximization-for-principal-component-analysis-1603.08293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-greedy-l21-norm-maximization-for-principal-component-analysis-1603.08293"/></url>
<url><loc>https://scifaro.com/en/abs/the-svm-classifier-based-on-the-modified-particle-swarm-optimization-1603.08296</loc><lastmod>2016-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-svm-classifier-based-on-the-modified-particle-swarm-optimization-1603.08296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-svm-classifier-based-on-the-modified-particle-swarm-optimization-1603.08296"/></url>
<url><loc>https://scifaro.com/en/abs/exclusivity-regularized-machine-1603.08318</loc><lastmod>2016-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exclusivity-regularized-machine-1603.08318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exclusivity-regularized-machine-1603.08318"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-gaussian-mixture-model-with-objects-attached-to-terminal-and-non-terminal-dendrogram-nodes-1603.08342</loc><lastmod>2016-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-gaussian-mixture-model-with-objects-attached-to-terminal-and-non-terminal-dendrogram-nodes-1603.08342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-gaussian-mixture-model-with-objects-attached-to-terminal-and-non-terminal-dendrogram-nodes-1603.08342"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-activity-and-sparse-connectivity-in-supervised-learning-1603.08367</loc><lastmod>2016-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-activity-and-sparse-connectivity-in-supervised-learning-1603.08367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-activity-and-sparse-connectivity-in-supervised-learning-1603.08367"/></url>
<url><loc>https://scifaro.com/en/abs/classification-based-financial-markets-prediction-using-deep-neural-networks-1603.08604</loc><lastmod>2017-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-based-financial-markets-prediction-using-deep-neural-networks-1603.08604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-based-financial-markets-prediction-using-deep-neural-networks-1603.08604"/></url>
<url><loc>https://scifaro.com/en/abs/submodular-variational-inference-for-network-reconstruction-1603.08616</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/submodular-variational-inference-for-network-reconstruction-1603.08616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/submodular-variational-inference-for-network-reconstruction-1603.08616"/></url>
<url><loc>https://scifaro.com/en/abs/regret-analysis-of-the-anytime-optimally-confident-ucb-algorithm-1603.08661</loc><lastmod>2016-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-analysis-of-the-anytime-optimally-confident-ucb-algorithm-1603.08661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-analysis-of-the-anytime-optimally-confident-ucb-algorithm-1603.08661"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-sparse-filtering-a-theoretical-perspective-1603.08831</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-sparse-filtering-a-theoretical-perspective-1603.08831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-sparse-filtering-a-theoretical-perspective-1603.08831"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-semi-supervised-learning-with-graph-embeddings-1603.08861</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-semi-supervised-learning-with-graph-embeddings-1603.08861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-semi-supervised-learning-with-graph-embeddings-1603.08861"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-weak-changes-in-dynamic-events-over-networks-1603.08981</loc><lastmod>2016-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-weak-changes-in-dynamic-events-over-networks-1603.08981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-weak-changes-in-dynamic-events-over-networks-1603.08981"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-batch-normalization-1603.09025</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-batch-normalization-1603.09025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-batch-normalization-1603.09025"/></url>
<url><loc>https://scifaro.com/en/abs/towards-geo-distributed-machine-learning-1603.09035</loc><lastmod>2016-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-geo-distributed-machine-learning-1603.09035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-geo-distributed-machine-learning-1603.09035"/></url>
<url><loc>https://scifaro.com/en/abs/cost-sensitive-label-embedding-for-multi-label-classification-1603.09048</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-sensitive-label-embedding-for-multi-label-classification-1603.09048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-sensitive-label-embedding-for-multi-label-classification-1603.09048"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-of-bayesian-pool-based-active-learning-against-prior-misspecification-1603.09050</loc><lastmod>2016-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-of-bayesian-pool-based-active-learning-against-prior-misspecification-1603.09050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-of-bayesian-pool-based-active-learning-against-prior-misspecification-1603.09050"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-on-graphs-through-reach-and-distance-diffusion-1603.09064</loc><lastmod>2017-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-on-graphs-through-reach-and-distance-diffusion-1603.09064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-on-graphs-through-reach-and-distance-diffusion-1603.09064"/></url>
<url><loc>https://scifaro.com/en/abs/deeptarget-end-to-end-learning-framework-for-microrna-target-prediction-using-deep-recurrent-neural-networks-1603.09123</loc><lastmod>2016-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeptarget-end-to-end-learning-framework-for-microrna-target-prediction-using-deep-recurrent-neural-networks-1603.09123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeptarget-end-to-end-learning-framework-for-microrna-target-prediction-using-deep-recurrent-neural-networks-1603.09123"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-recommendation-to-users-that-react-online-learning-for-a-class-of-pomdps-1603.09233</loc><lastmod>2016-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-recommendation-to-users-that-react-online-learning-for-a-class-of-pomdps-1603.09233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-recommendation-to-users-that-react-online-learning-for-a-class-of-pomdps-1603.09233"/></url>
<url><loc>https://scifaro.com/en/abs/degrees-of-freedom-in-deep-neural-networks-1603.09260</loc><lastmod>2016-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/degrees-of-freedom-in-deep-neural-networks-1603.09260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/degrees-of-freedom-in-deep-neural-networks-1603.09260"/></url>
<url><loc>https://scifaro.com/en/abs/clinical-information-extraction-via-convolutional-neural-network-1603.09381</loc><lastmod>2016-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clinical-information-extraction-via-convolutional-neural-network-1603.09381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clinical-information-extraction-via-convolutional-neural-network-1603.09381"/></url>
<url><loc>https://scifaro.com/en/abs/deep-networks-with-stochastic-depth-1603.09382</loc><lastmod>2016-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-networks-with-stochastic-depth-1603.09382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-networks-with-stochastic-depth-1603.09382"/></url>
<url><loc>https://scifaro.com/en/abs/a-stratified-analysis-of-bayesian-optimization-methods-1603.09441</loc><lastmod>2016-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stratified-analysis-of-bayesian-optimization-methods-1603.09441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stratified-analysis-of-bayesian-optimization-methods-1603.09441"/></url>
<url><loc>https://scifaro.com/en/abs/online-optimization-with-costly-and-noisy-measurements-using-random-fourier-expansions-1603.09620</loc><lastmod>2016-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-optimization-with-costly-and-noisy-measurements-using-random-fourier-expansions-1603.09620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-optimization-with-costly-and-noisy-measurements-using-random-fourier-expansions-1603.09620"/></url>
<url><loc>https://scifaro.com/en/abs/pessimistic-uplift-modeling-1603.09738</loc><lastmod>2017-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pessimistic-uplift-modeling-1603.09738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pessimistic-uplift-modeling-1603.09738"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-quickest-change-detection-via-surrogates-1603.09739</loc><lastmod>2016-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-quickest-change-detection-via-surrogates-1603.09739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-quickest-change-detection-via-surrogates-1603.09739"/></url>
<url><loc>https://scifaro.com/en/abs/a-characterization-of-the-non-uniqueness-of-nonnegative-matrix-factorizations-1604.00653</loc><lastmod>2016-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-characterization-of-the-non-uniqueness-of-nonnegative-matrix-factorizations-1604.00653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-characterization-of-the-non-uniqueness-of-nonnegative-matrix-factorizations-1604.00653"/></url>
<url><loc>https://scifaro.com/en/abs/the-cma-evolution-strategy-a-tutorial-1604.00772</loc><lastmod>2023-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-cma-evolution-strategy-a-tutorial-1604.00772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-cma-evolution-strategy-a-tutorial-1604.00772"/></url>
<url><loc>https://scifaro.com/en/abs/topic-model-based-multi-label-classification-from-the-crowd-1604.00783</loc><lastmod>2016-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topic-model-based-multi-label-classification-from-the-crowd-1604.00783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topic-model-based-multi-label-classification-from-the-crowd-1604.00783"/></url>
<url><loc>https://scifaro.com/en/abs/data-efficient-off-policy-policy-evaluation-for-reinforcement-learning-1604.00923</loc><lastmod>2016-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-efficient-off-policy-policy-evaluation-for-reinforcement-learning-1604.00923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-efficient-off-policy-policy-evaluation-for-reinforcement-learning-1604.00923"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-distributed-synchronous-sgd-1604.00981</loc><lastmod>2017-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-distributed-synchronous-sgd-1604.00981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-distributed-synchronous-sgd-1604.00981"/></url>
<url><loc>https://scifaro.com/en/abs/towards-label-imbalance-in-multi-label-classification-with-many-labels-1604.01304</loc><lastmod>2016-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-label-imbalance-in-multi-label-classification-with-many-labels-1604.01304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-label-imbalance-in-multi-label-classification-with-many-labels-1604.01304"/></url>
<url><loc>https://scifaro.com/en/abs/self-paced-multi-task-learning-1604.01474</loc><lastmod>2017-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-paced-multi-task-learning-1604.01474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-paced-multi-task-learning-1604.01474"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-deep-ell-infty-encoder-for-hashing-1604.01475</loc><lastmod>2016-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-deep-ell-infty-encoder-for-hashing-1604.01475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-deep-ell-infty-encoder-for-hashing-1604.01475"/></url>
<url><loc>https://scifaro.com/en/abs/simple-and-efficient-learning-using-privileged-information-1604.01518</loc><lastmod>2016-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-and-efficient-learning-using-privileged-information-1604.01518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-and-efficient-learning-using-privileged-information-1604.01518"/></url>
<url><loc>https://scifaro.com/en/abs/relationship-between-variants-of-one-class-nearest-neighbours-and-creating-their-accurate-ensembles-1604.01686</loc><lastmod>2017-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relationship-between-variants-of-one-class-nearest-neighbours-and-creating-their-accurate-ensembles-1604.01686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relationship-between-variants-of-one-class-nearest-neighbours-and-creating-their-accurate-ensembles-1604.01686"/></url>
<url><loc>https://scifaro.com/en/abs/generalising-the-discriminative-restricted-boltzmann-machine-1604.01806</loc><lastmod>2016-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalising-the-discriminative-restricted-boltzmann-machine-1604.01806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalising-the-discriminative-restricted-boltzmann-machine-1604.01806"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-globally-convergent-stochastic-optimization-for-canonical-correlation-analysis-1604.01870</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-globally-convergent-stochastic-optimization-for-canonical-correlation-analysis-1604.01870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-globally-convergent-stochastic-optimization-for-canonical-correlation-analysis-1604.01870"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-performance-of-recurrent-neural-networks-on-gpus-1604.01946</loc><lastmod>2016-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-performance-of-recurrent-neural-networks-on-gpus-1604.01946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-performance-of-recurrent-neural-networks-on-gpus-1604.01946"/></url>
<url><loc>https://scifaro.com/en/abs/deep-online-convex-optimization-with-gated-games-1604.01952</loc><lastmod>2016-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-online-convex-optimization-with-gated-games-1604.01952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-online-convex-optimization-with-gated-games-1604.01952"/></url>
<url><loc>https://scifaro.com/en/abs/online-optimization-of-smoothed-piecewise-constant-functions-1604.01999</loc><lastmod>2016-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-optimization-of-smoothed-piecewise-constant-functions-1604.01999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-optimization-of-smoothed-piecewise-constant-functions-1604.01999"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-topic-models-using-small-variance-asymptotics-1604.02027</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-topic-models-using-small-variance-asymptotics-1604.02027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-topic-models-using-small-variance-asymptotics-1604.02027"/></url>
<url><loc>https://scifaro.com/en/abs/sentence-level-recurrent-topic-model-letting-topics-speak-for-themselves-1604.02038</loc><lastmod>2016-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sentence-level-recurrent-topic-model-letting-topics-speak-for-themselves-1604.02038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sentence-level-recurrent-topic-model-letting-topics-speak-for-themselves-1604.02038"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-classifiers-with-low-rank-indefinite-kernels-1604.02264</loc><lastmod>2016-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-classifiers-with-low-rank-indefinite-kernels-1604.02264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-classifiers-with-low-rank-indefinite-kernels-1604.02264"/></url>
<url><loc>https://scifaro.com/en/abs/one-class-classifiers-based-on-entropic-spanning-graphs-1604.02477</loc><lastmod>2016-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-class-classifiers-based-on-entropic-spanning-graphs-1604.02477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-class-classifiers-based-on-entropic-spanning-graphs-1604.02477"/></url>
<url><loc>https://scifaro.com/en/abs/challenges-in-bayesian-adaptive-data-analysis-1604.02492</loc><lastmod>2017-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-in-bayesian-adaptive-data-analysis-1604.02492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-in-bayesian-adaptive-data-analysis-1604.02492"/></url>
<url><loc>https://scifaro.com/en/abs/learning-compact-recurrent-neural-networks-1604.02594</loc><lastmod>2016-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-compact-recurrent-neural-networks-1604.02594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-compact-recurrent-neural-networks-1604.02594"/></url>
<url><loc>https://scifaro.com/en/abs/visualization-regularizers-for-neural-network-based-image-recognition-1604.02646</loc><lastmod>2017-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualization-regularizers-for-neural-network-based-image-recognition-1604.02646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualization-regularizers-for-neural-network-based-image-recognition-1604.02646"/></url>
<url><loc>https://scifaro.com/en/abs/demystifying-fixed-k-nearest-neighbor-information-estimators-1604.03006</loc><lastmod>2016-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-fixed-k-nearest-neighbor-information-estimators-1604.03006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-fixed-k-nearest-neighbor-information-estimators-1604.03006"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-of-local-structured-output-predictors-1604.03010</loc><lastmod>2016-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-of-local-structured-output-predictors-1604.03010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-of-local-structured-output-predictors-1604.03010"/></url>
<url><loc>https://scifaro.com/en/abs/m3-scaling-up-machine-learning-via-memory-mapping-1604.03034</loc><lastmod>2016-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/m3-scaling-up-machine-learning-via-memory-mapping-1604.03034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/m3-scaling-up-machine-learning-via-memory-mapping-1604.03034"/></url>
<url><loc>https://scifaro.com/en/abs/learning-simple-auctions-1604.03171</loc><lastmod>2016-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-simple-auctions-1604.03171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-simple-auctions-1604.03171"/></url>
<url><loc>https://scifaro.com/en/abs/the-univariate-flagging-algorithm-ufa-a-fully-automated-approach-for-identifying-optimal-thresholds-in-data-1604.03248</loc><lastmod>2016-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-univariate-flagging-algorithm-ufa-a-fully-automated-approach-for-identifying-optimal-thresholds-in-data-1604.03248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-univariate-flagging-algorithm-ufa-a-fully-automated-approach-for-identifying-optimal-thresholds-in-data-1604.03248"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-of-portfolio-ensembles-with-sector-exposure-regularization-1604.03266</loc><lastmod>2016-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-of-portfolio-ensembles-with-sector-exposure-regularization-1604.03266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-of-portfolio-ensembles-with-sector-exposure-regularization-1604.03266"/></url>
<url><loc>https://scifaro.com/en/abs/typical-stability-1604.03336</loc><lastmod>2016-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/typical-stability-1604.03336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/typical-stability-1604.03336"/></url>
<url><loc>https://scifaro.com/en/abs/loss-bounds-and-time-complexity-for-speed-priors-1604.03343</loc><lastmod>2016-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-bounds-and-time-complexity-for-speed-priors-1604.03343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-bounds-and-time-complexity-for-speed-priors-1604.03343"/></url>
<url><loc>https://scifaro.com/en/abs/an-incremental-linear-time-learning-algorithm-for-the-optimum-path-forest-classifier-1604.03346</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-incremental-linear-time-learning-algorithm-for-the-optimum-path-forest-classifier-1604.03346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-incremental-linear-time-learning-algorithm-for-the-optimum-path-forest-classifier-1604.03346"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-margin-distribution-machine-1604.03348</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-margin-distribution-machine-1604.03348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-margin-distribution-machine-1604.03348"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-stochastic-gradient-descent-with-variance-reduction-for-non-convex-optimization-1604.03584</loc><lastmod>2016-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-stochastic-gradient-descent-with-variance-reduction-for-non-convex-optimization-1604.03584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-stochastic-gradient-descent-with-variance-reduction-for-non-convex-optimization-1604.03584"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-the-gaps-between-residual-learning-recurrent-neural-networks-and-visual-cortex-1604.03640</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-the-gaps-between-residual-learning-recurrent-neural-networks-and-visual-cortex-1604.03640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-the-gaps-between-residual-learning-recurrent-neural-networks-and-visual-cortex-1604.03640"/></url>
<url><loc>https://scifaro.com/en/abs/a-differentiable-transition-between-additive-and-multiplicative-neurons-1604.03736</loc><lastmod>2016-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-differentiable-transition-between-additive-and-multiplicative-neurons-1604.03736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-differentiable-transition-between-additive-and-multiplicative-neurons-1604.03736"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-distributed-dual-coordinate-optimization-framework-for-regularized-loss-minimization-1604.03763</loc><lastmod>2017-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-distributed-dual-coordinate-optimization-framework-for-regularized-loss-minimization-1604.03763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-distributed-dual-coordinate-optimization-framework-for-regularized-loss-minimization-1604.03763"/></url>
<url><loc>https://scifaro.com/en/abs/animation-and-chirplet-based-development-of-a-pir-sensor-array-for-intruder-classification-in-an-outdoor-environment-1604.03829</loc><lastmod>2016-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/animation-and-chirplet-based-development-of-a-pir-sensor-array-for-intruder-classification-in-an-outdoor-environment-1604.03829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/animation-and-chirplet-based-development-of-a-pir-sensor-array-for-intruder-classification-in-an-outdoor-environment-1604.03829"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-compound-poisson-factorization-1604.03853</loc><lastmod>2016-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-compound-poisson-factorization-1604.03853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-compound-poisson-factorization-1604.03853"/></url>
<url><loc>https://scifaro.com/en/abs/max-information-differential-privacy-and-post-selection-hypothesis-testing-1604.03924</loc><lastmod>2016-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-information-differential-privacy-and-post-selection-hypothesis-testing-1604.03924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-information-differential-privacy-and-post-selection-hypothesis-testing-1604.03924"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-algorithms-for-large-scale-generalized-eigenvector-computation-and-canonical-correlation-analysis-1604.03930</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-algorithms-for-large-scale-generalized-eigenvector-computation-and-canonical-correlation-analysis-1604.03930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-algorithms-for-large-scale-generalized-eigenvector-computation-and-canonical-correlation-analysis-1604.03930"/></url>
<url><loc>https://scifaro.com/en/abs/theoretically-grounded-policy-advice-from-multiple-teachers-in-reinforcement-learning-settings-with-applications-to-negative-transfer-1604.03986</loc><lastmod>2016-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretically-grounded-policy-advice-from-multiple-teachers-in-reinforcement-learning-settings-with-applications-to-negative-transfer-1604.03986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretically-grounded-policy-advice-from-multiple-teachers-in-reinforcement-learning-settings-with-applications-to-negative-transfer-1604.03986"/></url>
<url><loc>https://scifaro.com/en/abs/multi-source-multi-view-clustering-via-discrepancy-penalty-1604.04029</loc><lastmod>2016-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-source-multi-view-clustering-via-discrepancy-penalty-1604.04029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-source-multi-view-clustering-via-discrepancy-penalty-1604.04029"/></url>
<url><loc>https://scifaro.com/en/abs/consistently-estimating-markov-chains-with-noisy-aggregate-data-1604.04182</loc><lastmod>2016-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistently-estimating-markov-chains-with-noisy-aggregate-data-1604.04182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistently-estimating-markov-chains-with-noisy-aggregate-data-1604.04182"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-electrical-daily-demand-in-presence-of-phevs-in-smart-grids-with-supervised-learning-1604.04213</loc><lastmod>2016-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-electrical-daily-demand-in-presence-of-phevs-in-smart-grids-with-supervised-learning-1604.04213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-electrical-daily-demand-in-presence-of-phevs-in-smart-grids-with-supervised-learning-1604.04213"/></url>
<url><loc>https://scifaro.com/en/abs/the-artificial-mind-s-eye-resisting-adversarials-for-convolutional-neural-networks-using-internal-projection-1604.04428</loc><lastmod>2016-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-artificial-mind-s-eye-resisting-adversarials-for-convolutional-neural-networks-using-internal-projection-1604.04428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-artificial-mind-s-eye-resisting-adversarials-for-convolutional-neural-networks-using-internal-projection-1604.04428"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-linear-regression-with-student-t-assumptions-1604.04434</loc><lastmod>2016-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-linear-regression-with-student-t-assumptions-1604.04434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-linear-regression-with-student-t-assumptions-1604.04434"/></url>
<url><loc>https://scifaro.com/en/abs/delta-divergence-a-novel-decision-cognizant-measure-of-classifier-incongruence-1604.04451</loc><lastmod>2016-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delta-divergence-a-novel-decision-cognizant-measure-of-classifier-incongruence-1604.04451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delta-divergence-a-novel-decision-cognizant-measure-of-classifier-incongruence-1604.04451"/></url>
<url><loc>https://scifaro.com/en/abs/ds-mlr-exploiting-double-separability-for-scaling-up-distributed-multinomial-logistic-regression-1604.04706</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ds-mlr-exploiting-double-separability-for-scaling-up-distributed-multinomial-logistic-regression-1604.04706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ds-mlr-exploiting-double-separability-for-scaling-up-distributed-multinomial-logistic-regression-1604.04706"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-dictionary-learning-with-sparseness-enforcing-projections-1604.04767</loc><lastmod>2016-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-dictionary-learning-with-sparseness-enforcing-projections-1604.04767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-dictionary-learning-with-sparseness-enforcing-projections-1604.04767"/></url>
<url><loc>https://scifaro.com/en/abs/structured-sparse-convolutional-autoencoder-1604.04812</loc><lastmod>2017-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-sparse-convolutional-autoencoder-1604.04812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-sparse-convolutional-autoencoder-1604.04812"/></url>
<url><loc>https://scifaro.com/en/abs/mahalanobis-distance-metric-learning-algorithm-for-instance-based-data-stream-classification-1604.04879</loc><lastmod>2016-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mahalanobis-distance-metric-learning-algorithm-for-instance-based-data-stream-classification-1604.04879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mahalanobis-distance-metric-learning-algorithm-for-instance-based-data-stream-classification-1604.04879"/></url>
<url><loc>https://scifaro.com/en/abs/an-initial-seed-selection-algorithm-for-k-means-clustering-of-georeferenced-data-to-improve-replicability-of-cluster-assignments-for-mapping-application-1604.04893</loc><lastmod>2016-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-initial-seed-selection-algorithm-for-k-means-clustering-of-georeferenced-data-to-improve-replicability-of-cluster-assignments-for-mapping-application-1604.04893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-initial-seed-selection-algorithm-for-k-means-clustering-of-georeferenced-data-to-improve-replicability-of-cluster-assignments-for-mapping-application-1604.04893"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-study-of-proxtone-and-proxtone-for-fast-learning-of-large-scale-sparse-models-1604.05024</loc><lastmod>2016-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-study-of-proxtone-and-proxtone-for-fast-learning-of-large-scale-sparse-models-1604.05024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-study-of-proxtone-and-proxtone-for-fast-learning-of-large-scale-sparse-models-1604.05024"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-tracking-and-semantic-segmentation-using-recurrent-neural-networks-1604.05091</loc><lastmod>2016-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-tracking-and-semantic-segmentation-using-recurrent-neural-networks-1604.05091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-tracking-and-semantic-segmentation-using-recurrent-neural-networks-1604.05091"/></url>
<url><loc>https://scifaro.com/en/abs/risk-averse-multi-armed-bandit-problems-under-mean-variance-measure-1604.05257</loc><lastmod>2017-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-averse-multi-armed-bandit-problems-under-mean-variance-measure-1604.05257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-averse-multi-armed-bandit-problems-under-mean-variance-measure-1604.05257"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-convergence-in-online-learning-with-unbounded-delays-1604.05280</loc><lastmod>2016-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-convergence-in-online-learning-with-unbounded-delays-1604.05280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-convergence-in-online-learning-with-unbounded-delays-1604.05280"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-additive-models-with-interactions-in-high-dimensions-1604.05307</loc><lastmod>2016-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-additive-models-with-interactions-in-high-dimensions-1604.05307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-additive-models-with-interactions-in-high-dimensions-1604.05307"/></url>
<url><loc>https://scifaro.com/en/abs/comparative-study-of-instance-based-learning-and-back-propagation-for-classification-problems-1604.05429</loc><lastmod>2016-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparative-study-of-instance-based-learning-and-back-propagation-for-classification-problems-1604.05429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparative-study-of-instance-based-learning-and-back-propagation-for-classification-problems-1604.05429"/></url>
<url><loc>https://scifaro.com/en/abs/sketching-and-neural-networks-1604.05753</loc><lastmod>2016-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sketching-and-neural-networks-1604.05753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sketching-and-neural-networks-1604.05753"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-criterion-in-orthogonal-greedy-learning-1604.05993</loc><lastmod>2016-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-criterion-in-orthogonal-greedy-learning-1604.05993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-criterion-in-orthogonal-greedy-learning-1604.05993"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-deep-reinforcement-learning-integrating-temporal-abstraction-and-intrinsic-motivation-1604.06057</loc><lastmod>2016-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-deep-reinforcement-learning-integrating-temporal-abstraction-and-intrinsic-motivation-1604.06057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-deep-reinforcement-learning-integrating-temporal-abstraction-and-intrinsic-motivation-1604.06057"/></url>
<url><loc>https://scifaro.com/en/abs/embedded-all-relevant-feature-selection-with-random-ferns-1604.06133</loc><lastmod>2016-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedded-all-relevant-feature-selection-with-random-ferns-1604.06133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedded-all-relevant-feature-selection-with-random-ferns-1604.06133"/></url>
<url><loc>https://scifaro.com/en/abs/nonextensive-information-theoretical-machine-1604.06153</loc><lastmod>2016-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonextensive-information-theoretical-machine-1604.06153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonextensive-information-theoretical-machine-1604.06153"/></url>
<url><loc>https://scifaro.com/en/abs/deep-adaptive-network-an-efficient-deep-neural-network-with-sparse-binary-connections-1604.06154</loc><lastmod>2016-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-adaptive-network-an-efficient-deep-neural-network-with-sparse-binary-connections-1604.06154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-adaptive-network-an-efficient-deep-neural-network-with-sparse-binary-connections-1604.06154"/></url>
<url><loc>https://scifaro.com/en/abs/the-extended-littlestone-s-dimension-for-learning-with-mistakes-and-abstentions-1604.06162</loc><lastmod>2016-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-extended-littlestone-s-dimension-for-learning-with-mistakes-and-abstentions-1604.06162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-extended-littlestone-s-dimension-for-learning-with-mistakes-and-abstentions-1604.06162"/></url>
<url><loc>https://scifaro.com/en/abs/training-deep-nets-with-sublinear-memory-cost-1604.06174</loc><lastmod>2016-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-deep-nets-with-sublinear-memory-cost-1604.06174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-deep-nets-with-sublinear-memory-cost-1604.06174"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-vector-machines-for-large-scale-online-learning-1604.06518</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-vector-machines-for-large-scale-online-learning-1604.06518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-vector-machines-for-large-scale-online-learning-1604.06518"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-with-missing-features-a-penalized-dissimilarity-measure-based-approach-1604.06602</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-with-missing-features-a-penalized-dissimilarity-measure-based-approach-1604.06602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-with-missing-features-a-penalized-dissimilarity-measure-based-approach-1604.06602"/></url>
<url><loc>https://scifaro.com/en/abs/the-mean-partition-theorem-of-consensus-clustering-1604.06626</loc><lastmod>2016-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-mean-partition-theorem-of-consensus-clustering-1604.06626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-mean-partition-theorem-of-consensus-clustering-1604.06626"/></url>
<url><loc>https://scifaro.com/en/abs/entity-embeddings-of-categorical-variables-1604.06737</loc><lastmod>2016-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entity-embeddings-of-categorical-variables-1604.06737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entity-embeddings-of-categorical-variables-1604.06737"/></url>
<url><loc>https://scifaro.com/en/abs/latent-contextual-bandits-and-their-application-to-personalized-recommendations-for-new-users-1604.06743</loc><lastmod>2016-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-contextual-bandits-and-their-application-to-personalized-recommendations-for-new-users-1604.06743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-contextual-bandits-and-their-application-to-personalized-recommendations-for-new-users-1604.06743"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-deep-reinforcement-learning-for-continuous-control-1604.06778</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-deep-reinforcement-learning-for-continuous-control-1604.06778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-deep-reinforcement-learning-for-continuous-control-1604.06778"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sample-complexity-of-end-to-end-training-vs-semantic-abstraction-training-1604.06915</loc><lastmod>2016-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-end-to-end-training-vs-semantic-abstraction-training-1604.06915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-end-to-end-training-vs-semantic-abstraction-training-1604.06915"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-with-eigenvalue-decay-regularizer-1604.06985</loc><lastmod>2016-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-with-eigenvalue-decay-regularizer-1604.06985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-with-eigenvalue-decay-regularizer-1604.06985"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-variance-reduced-admm-1604.07070</loc><lastmod>2016-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-variance-reduced-admm-1604.07070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-variance-reduced-admm-1604.07070"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-representation-learning-of-structured-radio-communication-signals-1604.07078</loc><lastmod>2016-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-representation-learning-of-structured-radio-communication-signals-1604.07078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-representation-learning-of-structured-radio-communication-signals-1604.07078"/></url>
<url><loc>https://scifaro.com/en/abs/double-thompson-sampling-for-dueling-bandits-1604.07101</loc><lastmod>2016-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-thompson-sampling-for-dueling-bandits-1604.07101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-thompson-sampling-for-dueling-bandits-1604.07101"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-spectral-cluster-ensemble-1604.07178</loc><lastmod>2016-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-spectral-cluster-ensemble-1604.07178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-spectral-cluster-ensemble-1604.07178"/></url>
<url><loc>https://scifaro.com/en/abs/learning-arbitrary-sum-product-network-leaves-with-expectation-maximization-1604.07243</loc><lastmod>2017-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-arbitrary-sum-product-network-leaves-with-expectation-maximization-1604.07243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-arbitrary-sum-product-network-leaves-with-expectation-maximization-1604.07243"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multi-fidelity-gaussian-processes-1604.07484</loc><lastmod>2016-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multi-fidelity-gaussian-processes-1604.07484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multi-fidelity-gaussian-processes-1604.07484"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-clustering-of-linear-bandits-in-peer-to-peer-networks-1604.07706</loc><lastmod>2016-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-clustering-of-linear-bandits-in-peer-to-peer-networks-1604.07706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-clustering-of-linear-bandits-in-peer-to-peer-networks-1604.07706"/></url>
<url><loc>https://scifaro.com/en/abs/f-measure-maximization-in-multi-label-classification-with-conditionally-independent-label-subsets-1604.07759</loc><lastmod>2016-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/f-measure-maximization-in-multi-label-classification-with-conditionally-independent-label-subsets-1604.07759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/f-measure-maximization-in-multi-label-classification-with-conditionally-independent-label-subsets-1604.07759"/></url>
<url><loc>https://scifaro.com/en/abs/learning-by-tracking-siamese-cnn-for-robust-target-association-1604.07866</loc><lastmod>2016-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-by-tracking-siamese-cnn-for-robust-target-association-1604.07866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-by-tracking-siamese-cnn-for-robust-target-association-1604.07866"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-flexible-nonlinear-tensor-factorization-1604.07928</loc><lastmod>2016-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-flexible-nonlinear-tensor-factorization-1604.07928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-flexible-nonlinear-tensor-factorization-1604.07928"/></url>
<url><loc>https://scifaro.com/en/abs/classifying-options-for-deep-reinforcement-learning-1604.08153</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifying-options-for-deep-reinforcement-learning-1604.08153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifying-options-for-deep-reinforcement-learning-1604.08153"/></url>
<url><loc>https://scifaro.com/en/abs/diving-deeper-into-mentee-networks-1604.08220</loc><lastmod>2016-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diving-deeper-into-mentee-networks-1604.08220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diving-deeper-into-mentee-networks-1604.08220"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-neural-networks-for-automatic-state-time-feature-extraction-in-reinforcement-learning-applied-to-residential-load-control-1604.08382</loc><lastmod>2016-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-neural-networks-for-automatic-state-time-feature-extraction-in-reinforcement-learning-applied-to-residential-load-control-1604.08382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-neural-networks-for-automatic-state-time-feature-extraction-in-reinforcement-learning-applied-to-residential-load-control-1604.08382"/></url>
<url><loc>https://scifaro.com/en/abs/detection-of-epileptic-seizure-in-eeg-signals-using-linear-least-squares-preprocessing-1604.08500</loc><lastmod>2016-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-of-epileptic-seizure-in-eeg-signals-using-linear-least-squares-preprocessing-1604.08500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-of-epileptic-seizure-in-eeg-signals-using-linear-least-squares-preprocessing-1604.08500"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-representation-and-embedding-of-knowledge-bases-beyond-binary-relations-1604.08642</loc><lastmod>2016-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-representation-and-embedding-of-knowledge-bases-beyond-binary-relations-1604.08642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-representation-and-embedding-of-knowledge-bases-beyond-binary-relations-1604.08642"/></url>
<url><loc>https://scifaro.com/en/abs/metagrad-multiple-learning-rates-in-online-learning-1604.08740</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metagrad-multiple-learning-rates-in-online-learning-1604.08740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metagrad-multiple-learning-rates-in-online-learning-1604.08740"/></url>
<url><loc>https://scifaro.com/en/abs/the-z-loss-a-shift-and-scale-invariant-classification-loss-belonging-to-the-spherical-family-1604.08859</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-z-loss-a-shift-and-scale-invariant-classification-loss-belonging-to-the-spherical-family-1604.08859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-z-loss-a-shift-and-scale-invariant-classification-loss-belonging-to-the-spherical-family-1604.08859"/></url>
<url><loc>https://scifaro.com/en/abs/deep-convolutional-and-recurrent-models-for-human-activity-recognition-using-wearables-1604.08880</loc><lastmod>2016-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-convolutional-and-recurrent-models-for-human-activity-recognition-using-wearables-1604.08880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-convolutional-and-recurrent-models-for-human-activity-recognition-using-wearables-1604.08880"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-direction-of-stock-market-prices-using-random-forest-1605.00003</loc><lastmod>2016-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-direction-of-stock-market-prices-using-random-forest-1605.00003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-direction-of-stock-market-prices-using-random-forest-1605.00003"/></url>
<url><loc>https://scifaro.com/en/abs/deepmirgene-deep-neural-network-based-precursor-microrna-prediction-1605.00017</loc><lastmod>2016-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepmirgene-deep-neural-network-based-precursor-microrna-prediction-1605.00017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepmirgene-deep-neural-network-based-precursor-microrna-prediction-1605.00017"/></url>
<url><loc>https://scifaro.com/en/abs/deep-convolutional-neural-networks-on-cartoon-functions-1605.00031</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-convolutional-neural-networks-on-cartoon-functions-1605.00031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-convolutional-neural-networks-on-cartoon-functions-1605.00031"/></url>
<url><loc>https://scifaro.com/en/abs/constructive-neural-network-learning-1605.00079</loc><lastmod>2016-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructive-neural-network-learning-1605.00079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructive-neural-network-learning-1605.00079"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-contextual-bandits-with-known-reward-functions-1605.00176</loc><lastmod>2016-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-contextual-bandits-with-known-reward-functions-1605.00176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-contextual-bandits-with-known-reward-functions-1605.00176"/></url>
<url><loc>https://scifaro.com/en/abs/text-mining-the-neurosynth-corpus-using-deep-boltzmann-machines-1605.00223</loc><lastmod>2016-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/text-mining-the-neurosynth-corpus-using-deep-boltzmann-machines-1605.00223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/text-mining-the-neurosynth-corpus-using-deep-boltzmann-machines-1605.00223"/></url>
<url><loc>https://scifaro.com/en/abs/a-vector-contraction-inequality-for-rademacher-complexities-1605.00251</loc><lastmod>2016-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-vector-contraction-inequality-for-rademacher-complexities-1605.00251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-vector-contraction-inequality-for-rademacher-complexities-1605.00251"/></url>
<url><loc>https://scifaro.com/en/abs/fast-rates-for-general-unbounded-loss-functions-from-erm-to-generalized-bayes-1605.00252</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-rates-for-general-unbounded-loss-functions-from-erm-to-generalized-bayes-1605.00252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-rates-for-general-unbounded-loss-functions-from-erm-to-generalized-bayes-1605.00252"/></url>
<url><loc>https://scifaro.com/en/abs/particle-smoothing-for-hidden-diffusion-processes-adaptive-path-integral-smoother-1605.00278</loc><lastmod>2017-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-smoothing-for-hidden-diffusion-processes-adaptive-path-integral-smoother-1605.00278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-smoothing-for-hidden-diffusion-processes-adaptive-path-integral-smoother-1605.00278"/></url>
<url><loc>https://scifaro.com/en/abs/some-insights-into-the-geometry-and-training-of-neural-networks-1605.00329</loc><lastmod>2016-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-insights-into-the-geometry-and-training-of-neural-networks-1605.00329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-insights-into-the-geometry-and-training-of-neural-networks-1605.00329"/></url>
<url><loc>https://scifaro.com/en/abs/simple2complex-global-optimization-by-gradient-descent-1605.00404</loc><lastmod>2016-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple2complex-global-optimization-by-gradient-descent-1605.00404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple2complex-global-optimization-by-gradient-descent-1605.00404"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-for-learning-sparse-additive-models-with-interactions-in-high-dimensions-1605.00609</loc><lastmod>2017-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-learning-sparse-additive-models-with-interactions-in-high-dimensions-1605.00609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-learning-sparse-additive-models-with-interactions-in-high-dimensions-1605.00609"/></url>
<url><loc>https://scifaro.com/en/abs/radio-transformer-networks-attention-models-for-learning-to-synchronize-in-wireless-systems-1605.00716</loc><lastmod>2016-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/radio-transformer-networks-attention-models-for-learning-to-synchronize-in-wireless-systems-1605.00716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/radio-transformer-networks-attention-models-for-learning-to-synchronize-in-wireless-systems-1605.00716"/></url>
<url><loc>https://scifaro.com/en/abs/vlsi-extreme-learning-machine-a-design-space-exploration-1605.00740</loc><lastmod>2016-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vlsi-extreme-learning-machine-a-design-space-exploration-1605.00740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vlsi-extreme-learning-machine-a-design-space-exploration-1605.00740"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-binary-labels-with-instance-dependent-corruption-1605.00751</loc><lastmod>2016-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-binary-labels-with-instance-dependent-corruption-1605.00751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-binary-labels-with-instance-dependent-corruption-1605.00751"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-risk-scoring-for-critical-care-patients-using-mixtures-of-gaussian-process-experts-1605.00959</loc><lastmod>2016-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-risk-scoring-for-critical-care-patients-using-mixtures-of-gaussian-process-experts-1605.00959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-risk-scoring-for-critical-care-patients-using-mixtures-of-gaussian-process-experts-1605.00959"/></url>
<url><loc>https://scifaro.com/en/abs/online-machine-learning-techniques-for-predicting-operator-performance-1605.01029</loc><lastmod>2016-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-machine-learning-techniques-for-predicting-operator-performance-1605.01029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-machine-learning-techniques-for-predicting-operator-performance-1605.01029"/></url>
<url><loc>https://scifaro.com/en/abs/do-logarithmic-proximity-measures-outperform-plain-ones-in-graph-clustering-1605.01046</loc><lastmod>2017-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-logarithmic-proximity-measures-outperform-plain-ones-in-graph-clustering-1605.01046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-logarithmic-proximity-measures-outperform-plain-ones-in-graph-clustering-1605.01046"/></url>
<url><loc>https://scifaro.com/en/abs/deep-motif-visualizing-genomic-sequence-classifications-1605.01133</loc><lastmod>2016-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-motif-visualizing-genomic-sequence-classifications-1605.01133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-motif-visualizing-genomic-sequence-classifications-1605.01133"/></url>
<url><loc>https://scifaro.com/en/abs/fast-rates-with-high-probability-in-exp-concave-statistical-learning-1605.01288</loc><lastmod>2016-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-rates-with-high-probability-in-exp-concave-statistical-learning-1605.01288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-rates-with-high-probability-in-exp-concave-statistical-learning-1605.01288"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-the-memory-of-atari-2600-1605.01335</loc><lastmod>2016-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-the-memory-of-atari-2600-1605.01335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-the-memory-of-atari-2600-1605.01335"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-deep-learning-with-shrinkage-and-recall-1605.01369</loc><lastmod>2016-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-deep-learning-with-shrinkage-and-recall-1605.01369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-deep-learning-with-shrinkage-and-recall-1605.01369"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-human-whole-body-motion-using-hidden-markov-models-1605.01569</loc><lastmod>2016-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-human-whole-body-motion-using-hidden-markov-models-1605.01569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-human-whole-body-motion-using-hidden-markov-models-1605.01569"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-a-family-of-robust-losses-for-stochastic-gradient-descent-1605.01623</loc><lastmod>2016-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-a-family-of-robust-losses-for-stochastic-gradient-descent-1605.01623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-a-family-of-robust-losses-for-stochastic-gradient-descent-1605.01623"/></url>
<url><loc>https://scifaro.com/en/abs/maximal-sparsity-with-deep-networks-1605.01636</loc><lastmod>2016-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximal-sparsity-with-deep-networks-1605.01636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximal-sparsity-with-deep-networks-1605.01636"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-adjusting-r-2-for-using-with-cross-validation-1605.01703</loc><lastmod>2016-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-adjusting-r-2-for-using-with-cross-validation-1605.01703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-adjusting-r-2-for-using-with-cross-validation-1605.01703"/></url>
<url><loc>https://scifaro.com/en/abs/not-just-a-black-box-learning-important-features-through-propagating-activation-differences-1605.01713</loc><lastmod>2017-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/not-just-a-black-box-learning-important-features-through-propagating-activation-differences-1605.01713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/not-just-a-black-box-learning-important-features-through-propagating-activation-differences-1605.01713"/></url>
<url><loc>https://scifaro.com/en/abs/rank-ordered-autoencoders-1605.01749</loc><lastmod>2016-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-ordered-autoencoders-1605.01749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-ordered-autoencoders-1605.01749"/></url>
<url><loc>https://scifaro.com/en/abs/cross-graph-learning-of-multi-relational-associations-1605.01832</loc><lastmod>2016-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-graph-learning-of-multi-relational-associations-1605.01832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-graph-learning-of-multi-relational-associations-1605.01832"/></url>
<url><loc>https://scifaro.com/en/abs/training-neural-networks-without-gradients-a-scalable-admm-approach-1605.02026</loc><lastmod>2016-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-neural-networks-without-gradients-a-scalable-admm-approach-1605.02026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-neural-networks-without-gradients-a-scalable-admm-approach-1605.02026"/></url>
<url><loc>https://scifaro.com/en/abs/low-complexity-stochastic-generalized-belief-propagation-1605.02046</loc><lastmod>2016-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-complexity-stochastic-generalized-belief-propagation-1605.02046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-complexity-stochastic-generalized-belief-propagation-1605.02046"/></url>
<url><loc>https://scifaro.com/en/abs/vizdoom-a-doom-based-ai-research-platform-for-visual-reinforcement-learning-1605.02097</loc><lastmod>2016-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vizdoom-a-doom-based-ai-research-platform-for-visual-reinforcement-learning-1605.02097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vizdoom-a-doom-based-ai-research-platform-for-visual-reinforcement-learning-1605.02097"/></url>
<url><loc>https://scifaro.com/en/abs/some-simulation-results-for-emphatic-temporal-difference-learning-algorithms-1605.02099</loc><lastmod>2016-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-simulation-results-for-emphatic-temporal-difference-learning-algorithms-1605.02099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-simulation-results-for-emphatic-temporal-difference-learning-algorithms-1605.02099"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-stochastic-optimization-for-deep-learning-thesis-1605.02216</loc><lastmod>2016-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-stochastic-optimization-for-deep-learning-thesis-1605.02216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-stochastic-optimization-for-deep-learning-thesis-1605.02216"/></url>
<url><loc>https://scifaro.com/en/abs/neural-autoregressive-distribution-estimation-1605.02226</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-autoregressive-distribution-estimation-1605.02226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-autoregressive-distribution-estimation-1605.02226"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-community-detection-in-stochastic-block-models-1605.02372</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-community-detection-in-stochastic-block-models-1605.02372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-community-detection-in-stochastic-block-models-1605.02372"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-kaczmarz-for-rank-aggregation-from-pairwise-comparisons-1605.02470</loc><lastmod>2016-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-kaczmarz-for-rank-aggregation-from-pairwise-comparisons-1605.02470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-kaczmarz-for-rank-aggregation-from-pairwise-comparisons-1605.02470"/></url>
<url><loc>https://scifaro.com/en/abs/random-fourier-features-for-operator-valued-kernels-1605.02536</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-fourier-features-for-operator-valued-kernels-1605.02536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-fourier-features-for-operator-valued-kernels-1605.02536"/></url>
<url><loc>https://scifaro.com/en/abs/oracle-based-active-set-algorithm-for-scalable-elastic-net-subspace-clustering-1605.02633</loc><lastmod>2016-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oracle-based-active-set-algorithm-for-scalable-elastic-net-subspace-clustering-1605.02633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oracle-based-active-set-algorithm-for-scalable-elastic-net-subspace-clustering-1605.02633"/></url>
<url><loc>https://scifaro.com/en/abs/nonconvex-sparse-learning-via-stochastic-optimization-with-progressive-variance-reduction-1605.02711</loc><lastmod>2017-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonconvex-sparse-learning-via-stochastic-optimization-with-progressive-variance-reduction-1605.02711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonconvex-sparse-learning-via-stochastic-optimization-with-progressive-variance-reduction-1605.02711"/></url>
<url><loc>https://scifaro.com/en/abs/lightnet-a-versatile-standalone-matlab-based-environment-for-deep-learning-1605.02766</loc><lastmod>2016-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lightnet-a-versatile-standalone-matlab-based-environment-for-deep-learning-1605.02766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lightnet-a-versatile-standalone-matlab-based-environment-for-deep-learning-1605.02766"/></url>
<url><loc>https://scifaro.com/en/abs/transport-analysis-of-infinitely-deep-neural-network-1605.02832</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transport-analysis-of-infinitely-deep-neural-network-1605.02832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transport-analysis-of-infinitely-deep-neural-network-1605.02832"/></url>
<url><loc>https://scifaro.com/en/abs/must-cnn-a-multilayer-shift-and-stitch-deep-convolutional-architecture-for-sequence-based-protein-structure-prediction-1605.03004</loc><lastmod>2016-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/must-cnn-a-multilayer-shift-and-stitch-deep-convolutional-architecture-for-sequence-based-protein-structure-prediction-1605.03004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/must-cnn-a-multilayer-shift-and-stitch-deep-convolutional-architecture-for-sequence-based-protein-structure-prediction-1605.03004"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-representation-learning-based-on-probabilistic-labeling-1605.03072</loc><lastmod>2020-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-representation-learning-based-on-probabilistic-labeling-1605.03072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-representation-learning-based-on-probabilistic-labeling-1605.03072"/></url>
<url><loc>https://scifaro.com/en/abs/a-constrained-l1-minimization-approach-for-estimating-multiple-sparse-gaussian-or-nonparanormal-graphical-models-1605.03468</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-constrained-l1-minimization-approach-for-estimating-multiple-sparse-gaussian-or-nonparanormal-graphical-models-1605.03468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-constrained-l1-minimization-approach-for-estimating-multiple-sparse-gaussian-or-nonparanormal-graphical-models-1605.03468"/></url>
<url><loc>https://scifaro.com/en/abs/tweet2vec-character-based-distributed-representations-for-social-media-1605.03481</loc><lastmod>2016-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tweet2vec-character-based-distributed-representations-for-social-media-1605.03481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tweet2vec-character-based-distributed-representations-for-social-media-1605.03481"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-sequential-rademacher-complexity-of-a-finite-function-class-1605.03843</loc><lastmod>2016-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-sequential-rademacher-complexity-of-a-finite-function-class-1605.03843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-sequential-rademacher-complexity-of-a-finite-function-class-1605.03843"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-hashing-with-privileged-information-1605.04034</loc><lastmod>2016-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-hashing-with-privileged-information-1605.04034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-hashing-with-privileged-information-1605.04034"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-for-manufacturing-domains-1605.04056</loc><lastmod>2016-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-for-manufacturing-domains-1605.04056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-for-manufacturing-domains-1605.04056"/></url>
<url><loc>https://scifaro.com/en/abs/support-vector-algorithms-for-optimizing-the-partial-area-under-the-roc-curve-1605.04337</loc><lastmod>2016-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-vector-algorithms-for-optimizing-the-partial-area-under-the-roc-curve-1605.04337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-vector-algorithms-for-optimizing-the-partial-area-under-the-roc-curve-1605.04337"/></url>
<url><loc>https://scifaro.com/en/abs/deeplearningkit-an-gpu-optimized-deep-learning-framework-for-apple-s-ios-os-x-and-tvos-developed-in-metal-and-swift-1605.04614</loc><lastmod>2016-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeplearningkit-an-gpu-optimized-deep-learning-framework-for-apple-s-ios-os-x-and-tvos-developed-in-metal-and-swift-1605.04614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeplearningkit-an-gpu-optimized-deep-learning-framework-for-apple-s-ios-os-x-and-tvos-developed-in-metal-and-swift-1605.04614"/></url>
<url><loc>https://scifaro.com/en/abs/tracking-slowly-moving-clairvoyant-optimal-dynamic-regret-of-online-learning-with-true-and-noisy-gradient-1605.04638</loc><lastmod>2016-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tracking-slowly-moving-clairvoyant-optimal-dynamic-regret-of-online-learning-with-true-and-noisy-gradient-1605.04638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tracking-slowly-moving-clairvoyant-optimal-dynamic-regret-of-online-learning-with-true-and-noisy-gradient-1605.04638"/></url>
<url><loc>https://scifaro.com/en/abs/alternating-optimization-method-based-on-nonnegative-matrix-factorizations-for-deep-neural-networks-1605.04639</loc><lastmod>2016-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternating-optimization-method-based-on-nonnegative-matrix-factorizations-for-deep-neural-networks-1605.04639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternating-optimization-method-based-on-nonnegative-matrix-factorizations-for-deep-neural-networks-1605.04639"/></url>
<url><loc>https://scifaro.com/en/abs/geometry-aware-mappings-for-high-dimensional-sparse-factors-1605.04764</loc><lastmod>2016-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometry-aware-mappings-for-high-dimensional-sparse-factors-1605.04764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometry-aware-mappings-for-high-dimensional-sparse-factors-1605.04764"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-evaluation-for-slate-recommendation-1605.04812</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-evaluation-for-slate-recommendation-1605.04812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-evaluation-for-slate-recommendation-1605.04812"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-the-model-order-of-deep-neural-networks-using-information-theory-1605.04859</loc><lastmod>2016-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-the-model-order-of-deep-neural-networks-using-information-theory-1605.04859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-the-model-order-of-deep-neural-networks-using-information-theory-1605.04859"/></url>
<url><loc>https://scifaro.com/en/abs/gearbox-fault-detection-through-pso-exact-wavelet-analysis-and-svm-classifier-1605.04874</loc><lastmod>2016-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gearbox-fault-detection-through-pso-exact-wavelet-analysis-and-svm-classifier-1605.04874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gearbox-fault-detection-through-pso-exact-wavelet-analysis-and-svm-classifier-1605.04874"/></url>
<url><loc>https://scifaro.com/en/abs/a-constant-factor-bi-criteria-approximation-guarantee-for-k-means-1605.04986</loc><lastmod>2016-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-constant-factor-bi-criteria-approximation-guarantee-for-k-means-1605.04986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-constant-factor-bi-criteria-approximation-guarantee-for-k-means-1605.04986"/></url>
<url><loc>https://scifaro.com/en/abs/locally-weighted-ensemble-clustering-1605.05011</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-weighted-ensemble-clustering-1605.05011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-weighted-ensemble-clustering-1605.05011"/></url>
<url><loc>https://scifaro.com/en/abs/word2vec-is-a-special-case-of-kernel-correspondence-analysis-and-kernels-for-natural-language-processing-1605.05087</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/word2vec-is-a-special-case-of-kernel-correspondence-analysis-and-kernels-for-natural-language-processing-1605.05087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/word2vec-is-a-special-case-of-kernel-correspondence-analysis-and-kernels-for-natural-language-processing-1605.05087"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-classification-of-irregularly-sampled-time-series-with-unequal-lengths-a-case-study-on-estimated-glomerular-filtration-rate-1605.05142</loc><lastmod>2016-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-classification-of-irregularly-sampled-time-series-with-unequal-lengths-a-case-study-on-estimated-glomerular-filtration-rate-1605.05142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-classification-of-irregularly-sampled-time-series-with-unequal-lengths-a-case-study-on-estimated-glomerular-filtration-rate-1605.05142"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-sparse-coding-for-event-detection-1605.05212</loc><lastmod>2016-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-sparse-coding-for-event-detection-1605.05212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-sparse-coding-for-event-detection-1605.05212"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-boosting-ability-of-top-down-decision-tree-learning-algorithm-for-multiclass-classification-1605.05223</loc><lastmod>2016-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-boosting-ability-of-top-down-decision-tree-learning-algorithm-for-multiclass-classification-1605.05223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-boosting-ability-of-top-down-decision-tree-learning-algorithm-for-multiclass-classification-1605.05223"/></url>
<url><loc>https://scifaro.com/en/abs/learning-convolutional-neural-networks-for-graphs-1605.05273</loc><lastmod>2016-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-convolutional-neural-networks-for-graphs-1605.05273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-convolutional-neural-networks-for-graphs-1605.05273"/></url>
<url><loc>https://scifaro.com/en/abs/option-discovery-in-hierarchical-reinforcement-learning-using-spatio-temporal-clustering-1605.05359</loc><lastmod>2020-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/option-discovery-in-hierarchical-reinforcement-learning-using-spatio-temporal-clustering-1605.05359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/option-discovery-in-hierarchical-reinforcement-learning-using-spatio-temporal-clustering-1605.05359"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-frame-skip-deep-q-network-1605.05365</loc><lastmod>2020-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-frame-skip-deep-q-network-1605.05365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-frame-skip-deep-q-network-1605.05365"/></url>
<url><loc>https://scifaro.com/en/abs/deep-action-sequence-learning-for-causal-shape-transformation-1605.05368</loc><lastmod>2016-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-action-sequence-learning-for-causal-shape-transformation-1605.05368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-action-sequence-learning-for-causal-shape-transformation-1605.05368"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-novel-processes-with-candies-an-holistic-novelty-detection-technique-based-on-probabilistic-models-1605.05628</loc><lastmod>2016-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-novel-processes-with-candies-an-holistic-novelty-detection-technique-based-on-probabilistic-models-1605.05628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-novel-processes-with-candies-an-holistic-novelty-detection-technique-based-on-probabilistic-models-1605.05628"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-on-weighted-graphs-using-adaptive-and-non-adaptive-approaches-1605.05710</loc><lastmod>2016-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-on-weighted-graphs-using-adaptive-and-non-adaptive-approaches-1605.05710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-on-weighted-graphs-using-adaptive-and-non-adaptive-approaches-1605.05710"/></url>
<url><loc>https://scifaro.com/en/abs/linearized-gmm-kernels-and-normalized-random-fourier-features-1605.05721</loc><lastmod>2017-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linearized-gmm-kernels-and-normalized-random-fourier-features-1605.05721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linearized-gmm-kernels-and-normalized-random-fourier-features-1605.05721"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-exponential-family-harmoniums-without-backprop-through-time-1605.05799</loc><lastmod>2016-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-exponential-family-harmoniums-without-backprop-through-time-1605.05799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-exponential-family-harmoniums-without-backprop-through-time-1605.05799"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-learning-with-memory-augmented-neural-networks-1605.06065</loc><lastmod>2016-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-learning-with-memory-augmented-neural-networks-1605.06065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-learning-with-memory-augmented-neural-networks-1605.06065"/></url>
<url><loc>https://scifaro.com/en/abs/on-a-convergent-off-policy-temporal-difference-learning-algorithm-in-on-line-learning-environment-1605.06076</loc><lastmod>2016-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-a-convergent-off-policy-temporal-difference-learning-algorithm-in-on-line-learning-environment-1605.06076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-a-convergent-off-policy-temporal-difference-learning-algorithm-in-on-line-learning-environment-1605.06076"/></url>
<url><loc>https://scifaro.com/en/abs/inter-battery-topic-representation-learning-1605.06155</loc><lastmod>2016-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inter-battery-topic-representation-learning-1605.06155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inter-battery-topic-representation-learning-1605.06155"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-system-for-a-bayesian-optimization-service-1605.06170</loc><lastmod>2016-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-system-for-a-bayesian-optimization-service-1605.06170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-system-for-a-bayesian-optimization-service-1605.06170"/></url>
<url><loc>https://scifaro.com/en/abs/variational-hybridization-and-transformation-for-large-inaccurate-noisy-or-networks-1605.06181</loc><lastmod>2016-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-hybridization-and-transformation-for-large-inaccurate-noisy-or-networks-1605.06181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-hybridization-and-transformation-for-large-inaccurate-noisy-or-networks-1605.06181"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-delays-in-online-strongly-convex-optimization-1605.06201</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-delays-in-online-strongly-convex-optimization-1605.06201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-delays-in-online-strongly-convex-optimization-1605.06201"/></url>
<url><loc>https://scifaro.com/en/abs/piece-wise-quadratic-approximations-of-arbitrary-error-functions-for-fast-and-robust-machine-learning-1605.06276</loc><lastmod>2017-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/piece-wise-quadratic-approximations-of-arbitrary-error-functions-for-fast-and-robust-machine-learning-1605.06276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/piece-wise-quadratic-approximations-of-arbitrary-error-functions-for-fast-and-robust-machine-learning-1605.06276"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-robustness-of-decision-tree-learning-under-label-noise-1605.06296</loc><lastmod>2016-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-robustness-of-decision-tree-learning-under-label-noise-1605.06296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-robustness-of-decision-tree-learning-under-label-noise-1605.06296"/></url>
<url><loc>https://scifaro.com/en/abs/towards-automation-of-knowledge-understanding-an-approach-for-probabilistic-generative-classifiers-1605.06377</loc><lastmod>2016-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-automation-of-knowledge-understanding-an-approach-for-probabilistic-generative-classifiers-1605.06377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-automation-of-knowledge-understanding-an-approach-for-probabilistic-generative-classifiers-1605.06377"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multi-task-representation-learning-a-tensor-factorisation-approach-1605.06391</loc><lastmod>2017-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multi-task-representation-learning-a-tensor-factorisation-approach-1605.06391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multi-task-representation-learning-a-tensor-factorisation-approach-1605.06391"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-hyperparameter-optimization-for-ensemble-learning-1605.06394</loc><lastmod>2016-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-hyperparameter-optimization-for-ensemble-learning-1605.06394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-hyperparameter-optimization-for-ensemble-learning-1605.06394"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-variance-reduction-methods-for-saddle-point-problems-1605.06398</loc><lastmod>2016-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-variance-reduction-methods-for-saddle-point-problems-1605.06398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-variance-reduction-methods-for-saddle-point-problems-1605.06398"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-root-cause-analysis-for-distributed-system-anomalies-1605.06421</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-root-cause-analysis-for-distributed-system-anomalies-1605.06421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-root-cause-analysis-for-distributed-system-anomalies-1605.06421"/></url>
<url><loc>https://scifaro.com/en/abs/fast-randomized-semi-supervised-clustering-1605.06422</loc><lastmod>2018-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-randomized-semi-supervised-clustering-1605.06422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-randomized-semi-supervised-clustering-1605.06422"/></url>
<url><loc>https://scifaro.com/en/abs/combining-adversarial-guarantees-and-stochastic-fast-rates-in-online-learning-1605.06439</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-adversarial-guarantees-and-stochastic-fast-rates-in-online-learning-1605.06439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-adversarial-guarantees-and-stochastic-fast-rates-in-online-learning-1605.06439"/></url>
<url><loc>https://scifaro.com/en/abs/query-efficient-imitation-learning-for-end-to-end-autonomous-driving-1605.06450</loc><lastmod>2016-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/query-efficient-imitation-learning-for-end-to-end-autonomous-driving-1605.06450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/query-efficient-imitation-learning-for-end-to-end-autonomous-driving-1605.06450"/></url>
<url><loc>https://scifaro.com/en/abs/regression-with-n-to-1-by-expert-knowledge-elicitation-1605.06477</loc><lastmod>2017-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-with-n-to-1-by-expert-knowledge-elicitation-1605.06477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-with-n-to-1-by-expert-knowledge-elicitation-1605.06477"/></url>
<url><loc>https://scifaro.com/en/abs/functional-hashing-for-compressing-neural-networks-1605.06560</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-hashing-for-compressing-neural-networks-1605.06560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-hashing-for-compressing-neural-networks-1605.06560"/></url>
<url><loc>https://scifaro.com/en/abs/dynanewton-accelerating-newton-s-method-for-machine-learning-1605.06561</loc><lastmod>2016-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynanewton-accelerating-newton-s-method-for-machine-learning-1605.06561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynanewton-accelerating-newton-s-method-for-machine-learning-1605.06561"/></url>
<url><loc>https://scifaro.com/en/abs/online-influence-maximization-under-independent-cascade-model-with-semi-bandit-feedback-1605.06593</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-influence-maximization-under-independent-cascade-model-with-semi-bandit-feedback-1605.06593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-influence-maximization-under-independent-cascade-model-with-semi-bandit-feedback-1605.06593"/></url>
<url><loc>https://scifaro.com/en/abs/deep-transfer-learning-with-joint-adaptation-networks-1605.06636</loc><lastmod>2017-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-transfer-learning-with-joint-adaptation-networks-1605.06636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-transfer-learning-with-joint-adaptation-networks-1605.06636"/></url>
<url><loc>https://scifaro.com/en/abs/gambler-s-ruin-bandit-problem-1605.06651</loc><lastmod>2016-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gambler-s-ruin-bandit-problem-1605.06651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gambler-s-ruin-bandit-problem-1605.06651"/></url>
<url><loc>https://scifaro.com/en/abs/bending-the-curve-improving-the-roc-curve-through-error-redistribution-1605.06652</loc><lastmod>2016-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bending-the-curve-improving-the-roc-curve-through-error-redistribution-1605.06652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bending-the-curve-improving-the-roc-curve-through-error-redistribution-1605.06652"/></url>
<url><loc>https://scifaro.com/en/abs/cross-domain-adaptation-by-learning-partially-shared-classifiers-and-weighting-source-data-points-in-the-shared-subspaces-1605.06673</loc><lastmod>2016-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-domain-adaptation-by-learning-partially-shared-classifiers-and-weighting-source-data-points-in-the-shared-subspaces-1605.06673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-domain-adaptation-by-learning-partially-shared-classifiers-and-weighting-source-data-points-in-the-shared-subspaces-1605.06673"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-hidden-traits-joint-factor-analysis-and-latent-clustering-1605.06711</loc><lastmod>2016-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-hidden-traits-joint-factor-analysis-and-latent-clustering-1605.06711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-hidden-traits-joint-factor-analysis-and-latent-clustering-1605.06711"/></url>
<url><loc>https://scifaro.com/en/abs/active-nearest-neighbor-learning-in-metric-spaces-1605.06792</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-nearest-neighbor-learning-in-metric-spaces-1605.06792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-nearest-neighbor-learning-in-metric-spaces-1605.06792"/></url>
<url><loc>https://scifaro.com/en/abs/dlau-a-scalable-deep-learning-accelerator-unit-on-fpga-1605.06894</loc><lastmod>2016-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dlau-a-scalable-deep-learning-accelerator-unit-on-fpga-1605.06894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dlau-a-scalable-deep-learning-accelerator-unit-on-fpga-1605.06894"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-criterion-for-inferring-coupling-in-distributed-dynamical-systems-1605.06931</loc><lastmod>2017-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-criterion-for-inferring-coupling-in-distributed-dynamical-systems-1605.06931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-criterion-for-inferring-coupling-in-distributed-dynamical-systems-1605.06931"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-classification-based-on-classification-from-positive-and-unlabeled-data-1605.06955</loc><lastmod>2017-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-classification-based-on-classification-from-positive-and-unlabeled-data-1605.06955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-classification-based-on-classification-from-positive-and-unlabeled-data-1605.06955"/></url>
<url><loc>https://scifaro.com/en/abs/dp-em-differentially-private-expectation-maximization-1605.06995</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dp-em-differentially-private-expectation-maximization-1605.06995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dp-em-differentially-private-expectation-maximization-1605.06995"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-feedback-graphs-without-the-graphs-1605.07018</loc><lastmod>2016-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-feedback-graphs-without-the-graphs-1605.07018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-feedback-graphs-without-the-graphs-1605.07018"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sensor-multiplexing-design-through-back-propagation-1605.07078</loc><lastmod>2016-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sensor-multiplexing-design-through-back-propagation-1605.07078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sensor-multiplexing-design-through-back-propagation-1605.07078"/></url>
<url><loc>https://scifaro.com/en/abs/fast-bayesian-optimization-of-machine-learning-hyperparameters-on-large-datasets-1605.07079</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-bayesian-optimization-of-machine-learning-hyperparameters-on-large-datasets-1605.07079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-bayesian-optimization-of-machine-learning-hyperparameters-on-large-datasets-1605.07079"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-in-learning-classic-and-contextual-bandits-1605.07139</loc><lastmod>2016-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-in-learning-classic-and-contextual-bandits-1605.07139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-in-learning-classic-and-contextual-bandits-1605.07139"/></url>
<url><loc>https://scifaro.com/en/abs/backprop-kf-learning-discriminative-deterministic-state-estimators-1605.07148</loc><lastmod>2017-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backprop-kf-learning-discriminative-deterministic-state-estimators-1605.07148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backprop-kf-learning-discriminative-deterministic-state-estimators-1605.07148"/></url>
<url><loc>https://scifaro.com/en/abs/path-normalized-optimization-of-recurrent-neural-networks-with-relu-activations-1605.07154</loc><lastmod>2016-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/path-normalized-optimization-of-recurrent-neural-networks-with-relu-activations-1605.07154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/path-normalized-optimization-of-recurrent-neural-networks-with-relu-activations-1605.07154"/></url>
<url><loc>https://scifaro.com/en/abs/genetic-architect-discovering-genomic-structure-with-learned-neural-architectures-1605.07156</loc><lastmod>2016-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/genetic-architect-discovering-genomic-structure-with-learned-neural-architectures-1605.07156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/genetic-architect-discovering-genomic-structure-with-learned-neural-architectures-1605.07156"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-for-physical-interaction-through-video-prediction-1605.07157</loc><lastmod>2016-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-for-physical-interaction-through-video-prediction-1605.07157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-for-physical-interaction-through-video-prediction-1605.07157"/></url>
<url><loc>https://scifaro.com/en/abs/pure-exploration-of-multi-armed-bandit-under-matroid-constraints-1605.07162</loc><lastmod>2016-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pure-exploration-of-multi-armed-bandit-under-matroid-constraints-1605.07162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pure-exploration-of-multi-armed-bandit-under-matroid-constraints-1605.07162"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-admm-with-spectral-penalty-parameter-selection-1605.07246</loc><lastmod>2017-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-admm-with-spectral-penalty-parameter-selection-1605.07246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-admm-with-spectral-penalty-parameter-selection-1605.07246"/></url>
<url><loc>https://scifaro.com/en/abs/interaction-screening-efficient-and-sample-optimal-learning-of-ising-models-1605.07252</loc><lastmod>2017-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interaction-screening-efficient-and-sample-optimal-learning-of-ising-models-1605.07252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interaction-screening-efficient-and-sample-optimal-learning-of-ising-models-1605.07252"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-neural-net-robustness-with-constraints-1605.07262</loc><lastmod>2017-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-neural-net-robustness-with-constraints-1605.07262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-neural-net-robustness-with-constraints-1605.07262"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-has-no-spurious-local-minimum-1605.07272</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-has-no-spurious-local-minimum-1605.07272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-has-no-spurious-local-minimum-1605.07272"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-bayesian-active-learning-with-correlated-and-noisy-tests-1605.07334</loc><lastmod>2016-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-bayesian-active-learning-with-correlated-and-noisy-tests-1605.07334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-bayesian-active-learning-with-correlated-and-noisy-tests-1605.07334"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-stochastic-variance-reduced-gradient-on-grassmann-manifold-1605.07367</loc><lastmod>2017-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-stochastic-variance-reduced-gradient-on-grassmann-manifold-1605.07367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-stochastic-variance-reduced-gradient-on-grassmann-manifold-1605.07367"/></url>
<url><loc>https://scifaro.com/en/abs/alternating-optimisation-and-quadrature-for-robust-control-1605.07496</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternating-optimisation-and-quadrature-for-robust-control-1605.07496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternating-optimisation-and-quadrature-for-robust-control-1605.07496"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-over-priors-for-boosting-control-of-prosthetic-hands-1605.07498</loc><lastmod>2016-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-over-priors-for-boosting-control-of-prosthetic-hands-1605.07498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-over-priors-for-boosting-control-of-prosthetic-hands-1605.07498"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-supervised-quantum-learning-1605.07541</loc><lastmod>2017-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-supervised-quantum-learning-1605.07541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-supervised-quantum-learning-1605.07541"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-sampling-for-the-nystr-om-method-1605.07583</loc><lastmod>2017-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-sampling-for-the-nystr-om-method-1605.07583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-sampling-for-the-nystr-om-method-1605.07583"/></url>
<url><loc>https://scifaro.com/en/abs/a-consistent-regularization-approach-for-structured-prediction-1605.07588</loc><lastmod>2017-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-consistent-regularization-approach-for-structured-prediction-1605.07588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-consistent-regularization-approach-for-structured-prediction-1605.07588"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-newton-method-for-empirical-risk-minimization-to-statistical-accuracy-1605.07659</loc><lastmod>2016-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-newton-method-for-empirical-risk-minimization-to-statistical-accuracy-1605.07659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-newton-method-for-empirical-risk-minimization-to-statistical-accuracy-1605.07659"/></url>
<url><loc>https://scifaro.com/en/abs/learning-purposeful-behaviour-in-the-absence-of-rewards-1605.07700</loc><lastmod>2016-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-purposeful-behaviour-in-the-absence-of-rewards-1605.07700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-purposeful-behaviour-in-the-absence-of-rewards-1605.07700"/></url>
<url><loc>https://scifaro.com/en/abs/deep-structured-energy-based-models-for-anomaly-detection-1605.07717</loc><lastmod>2016-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-structured-energy-based-models-for-anomaly-detection-1605.07717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-structured-energy-based-models-for-anomaly-detection-1605.07717"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multiagent-communication-with-backpropagation-1605.07736</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multiagent-communication-with-backpropagation-1605.07736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multiagent-communication-with-backpropagation-1605.07736"/></url>
<url><loc>https://scifaro.com/en/abs/neural-universal-discrete-denoiser-1605.07779</loc><lastmod>2016-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-universal-discrete-denoiser-1605.07779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-universal-discrete-denoiser-1605.07779"/></url>
<url><loc>https://scifaro.com/en/abs/geometry-aware-stationary-subspace-analysis-1605.07785</loc><lastmod>2016-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometry-aware-stationary-subspace-analysis-1605.07785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometry-aware-stationary-subspace-analysis-1605.07785"/></url>
<url><loc>https://scifaro.com/en/abs/effective-blind-source-separation-based-on-the-adam-algorithm-1605.07833</loc><lastmod>2026-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-blind-source-separation-based-on-the-adam-algorithm-1605.07833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-blind-source-separation-based-on-the-adam-algorithm-1605.07833"/></url>
<url><loc>https://scifaro.com/en/abs/review-networks-for-caption-generation-1605.07912</loc><lastmod>2016-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/review-networks-for-caption-generation-1605.07912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/review-networks-for-caption-generation-1605.07912"/></url>
<url><loc>https://scifaro.com/en/abs/on-fast-convergence-of-proximal-algorithms-for-sqrt-lasso-optimization-don-t-worry-about-its-nonsmooth-loss-function-1605.07950</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-fast-convergence-of-proximal-algorithms-for-sqrt-lasso-optimization-don-t-worry-about-its-nonsmooth-loss-function-1605.07950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-fast-convergence-of-proximal-algorithms-for-sqrt-lasso-optimization-don-t-worry-about-its-nonsmooth-loss-function-1605.07950"/></url>
<url><loc>https://scifaro.com/en/abs/toward-a-general-scaleable-framework-for-bayesian-teaching-with-applications-to-topic-models-1605.07999</loc><lastmod>2016-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-a-general-scaleable-framework-for-bayesian-teaching-with-applications-to-topic-models-1605.07999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-a-general-scaleable-framework-for-bayesian-teaching-with-applications-to-topic-models-1605.07999"/></url>
<url><loc>https://scifaro.com/en/abs/a-pac-rl-algorithm-for-episodic-pomdps-1605.08062</loc><lastmod>2016-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pac-rl-algorithm-for-episodic-pomdps-1605.08062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pac-rl-algorithm-for-episodic-pomdps-1605.08062"/></url>
<url><loc>https://scifaro.com/en/abs/deep-predictive-coding-networks-for-video-prediction-and-unsupervised-learning-1605.08104</loc><lastmod>2017-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-predictive-coding-networks-for-video-prediction-and-unsupervised-learning-1605.08104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-predictive-coding-networks-for-video-prediction-and-unsupervised-learning-1605.08104"/></url>
<url><loc>https://scifaro.com/en/abs/highly-smooth-zero-th-order-online-optimization-vianney-perchet-1605.08165</loc><lastmod>2016-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/highly-smooth-zero-th-order-online-optimization-vianney-perchet-1605.08165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/highly-smooth-zero-th-order-online-optimization-vianney-perchet-1605.08165"/></url>
<url><loc>https://scifaro.com/en/abs/adiabatic-persistent-contrastive-divergence-learning-1605.08174</loc><lastmod>2017-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adiabatic-persistent-contrastive-divergence-learning-1605.08174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adiabatic-persistent-contrastive-divergence-learning-1605.08174"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multivariate-log-concave-distributions-1605.08188</loc><lastmod>2017-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multivariate-log-concave-distributions-1605.08188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multivariate-log-concave-distributions-1605.08188"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-variance-reduced-riemannian-eigensolver-1605.08233</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-variance-reduced-riemannian-eigensolver-1605.08233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-variance-reduced-riemannian-eigensolver-1605.08233"/></url>
<url><loc>https://scifaro.com/en/abs/neighborhood-sensitive-mapping-for-zero-shot-classification-using-independently-learned-semantic-embeddings-1605.08242</loc><lastmod>2020-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neighborhood-sensitive-mapping-for-zero-shot-classification-using-independently-learned-semantic-embeddings-1605.08242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neighborhood-sensitive-mapping-for-zero-shot-classification-using-independently-learned-semantic-embeddings-1605.08242"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-tensor-completion-a-riemannian-manifold-preconditioning-approach-1605.08257</loc><lastmod>2016-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-tensor-completion-a-riemannian-manifold-preconditioning-approach-1605.08257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-tensor-completion-a-riemannian-manifold-preconditioning-approach-1605.08257"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-deep-feature-extraction-a-theory-and-new-architectures-1605.08283</loc><lastmod>2016-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-deep-feature-extraction-a-theory-and-new-architectures-1605.08283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-deep-feature-extraction-a-theory-and-new-architectures-1605.08283"/></url>
<url><loc>https://scifaro.com/en/abs/theano-mpi-a-theano-based-distributed-training-framework-1605.08325</loc><lastmod>2016-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theano-mpi-a-theano-based-distributed-training-framework-1605.08325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theano-mpi-a-theano-based-distributed-training-framework-1605.08325"/></url>
<url><loc>https://scifaro.com/en/abs/provable-efficient-online-matrix-completion-via-non-convex-stochastic-gradient-descent-1605.08370</loc><lastmod>2016-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-efficient-online-matrix-completion-via-non-convex-stochastic-gradient-descent-1605.08370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-efficient-online-matrix-completion-via-non-convex-stochastic-gradient-descent-1605.08370"/></url>
<url><loc>https://scifaro.com/en/abs/kronecker-determinantal-point-processes-1605.08374</loc><lastmod>2016-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kronecker-determinantal-point-processes-1605.08374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kronecker-determinantal-point-processes-1605.08374"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-properties-and-implicit-regularization-for-multiple-passes-sgm-1605.08375</loc><lastmod>2016-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-properties-and-implicit-regularization-for-multiple-passes-sgm-1605.08375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-properties-and-implicit-regularization-for-multiple-passes-sgm-1605.08375"/></url>
<url><loc>https://scifaro.com/en/abs/suppressing-background-radiation-using-poisson-principal-component-analysis-1605.08455</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/suppressing-background-radiation-using-poisson-principal-component-analysis-1605.08455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/suppressing-background-radiation-using-poisson-principal-component-analysis-1605.08455"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-imitation-learning-with-policy-optimization-1605.08478</loc><lastmod>2016-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-imitation-learning-with-policy-optimization-1605.08478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-imitation-learning-with-policy-optimization-1605.08478"/></url>
<url><loc>https://scifaro.com/en/abs/open-problem-best-arm-identification-almost-instance-wise-optimality-and-the-gap-entropy-conjecture-1605.08481</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-problem-best-arm-identification-almost-instance-wise-optimality-and-the-gap-entropy-conjecture-1605.08481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-problem-best-arm-identification-almost-instance-wise-optimality-and-the-gap-entropy-conjecture-1605.08481"/></url>
<url><loc>https://scifaro.com/en/abs/provable-algorithms-for-inference-in-topic-models-1605.08491</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-algorithms-for-inference-in-topic-models-1605.08491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-algorithms-for-inference-in-topic-models-1605.08491"/></url>
<url><loc>https://scifaro.com/en/abs/universum-learning-for-svm-regression-1605.08497</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universum-learning-for-svm-regression-1605.08497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universum-learning-for-svm-regression-1605.08497"/></url>
<url><loc>https://scifaro.com/en/abs/snn-stacked-neural-networks-1605.08512</loc><lastmod>2016-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/snn-stacked-neural-networks-1605.08512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/snn-stacked-neural-networks-1605.08512"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-inference-for-hidden-markov-models-with-multivariate-gaussian-output-distributions-1605.08618</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-inference-for-hidden-markov-models-with-multivariate-gaussian-output-distributions-1605.08618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-inference-for-hidden-markov-models-with-multivariate-gaussian-output-distributions-1605.08618"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithm-with-nearly-optimal-pseudo-regret-for-both-stochastic-and-adversarial-bandits-1605.08722</loc><lastmod>2016-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithm-with-nearly-optimal-pseudo-regret-for-both-stochastic-and-adversarial-bandits-1605.08722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithm-with-nearly-optimal-pseudo-regret-for-both-stochastic-and-adversarial-bandits-1605.08722"/></url>
<url><loc>https://scifaro.com/en/abs/density-estimation-using-real-nvp-1605.08803</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-estimation-using-real-nvp-1605.08803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-estimation-using-real-nvp-1605.08803"/></url>
<url><loc>https://scifaro.com/en/abs/muffled-semi-supervised-learning-1605.08833</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/muffled-semi-supervised-learning-1605.08833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/muffled-semi-supervised-learning-1605.08833"/></url>
<url><loc>https://scifaro.com/en/abs/dueling-bandits-with-dependent-arms-1605.08838</loc><lastmod>2017-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dueling-bandits-with-dependent-arms-1605.08838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dueling-bandits-with-dependent-arms-1605.08838"/></url>
<url><loc>https://scifaro.com/en/abs/online-bayesian-collaborative-topic-regression-1605.08872</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-bayesian-collaborative-topic-regression-1605.08872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-bayesian-collaborative-topic-regression-1605.08872"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-rates-for-multi-pass-stochastic-gradient-methods-1605.08882</loc><lastmod>2019-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-rates-for-multi-pass-stochastic-gradient-methods-1605.08882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-rates-for-multi-pass-stochastic-gradient-methods-1605.08882"/></url>
<url><loc>https://scifaro.com/en/abs/triplespin-a-generic-compact-paradigm-for-fast-machine-learning-computations-1605.09046</loc><lastmod>2016-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/triplespin-a-generic-compact-paradigm-for-fast-machine-learning-computations-1605.09046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/triplespin-a-generic-compact-paradigm-for-fast-machine-learning-computations-1605.09046"/></url>
<url><loc>https://scifaro.com/en/abs/recycling-randomness-with-structure-for-sublinear-time-kernel-expansions-1605.09049</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recycling-randomness-with-structure-for-sublinear-time-kernel-expansions-1605.09049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recycling-randomness-with-structure-for-sublinear-time-kernel-expansions-1605.09049"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-asynchronous-dual-free-stochastic-dual-coordinate-ascent-1605.09066</loc><lastmod>2017-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-asynchronous-dual-free-stochastic-dual-coordinate-ascent-1605.09066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-asynchronous-dual-free-stochastic-dual-coordinate-ascent-1605.09066"/></url>
<url><loc>https://scifaro.com/en/abs/a-budget-constrained-inverse-classification-framework-for-smooth-classifiers-1605.09068</loc><lastmod>2017-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-budget-constrained-inverse-classification-framework-for-smooth-classifiers-1605.09068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-budget-constrained-inverse-classification-framework-for-smooth-classifiers-1605.09068"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-methods-for-correlated-topic-models-1605.09080</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-methods-for-correlated-topic-models-1605.09080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-methods-for-correlated-topic-models-1605.09080"/></url>
<url><loc>https://scifaro.com/en/abs/one-pass-learning-with-incremental-and-decremental-features-1605.09082</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-pass-learning-with-incremental-and-decremental-features-1605.09082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-pass-learning-with-incremental-and-decremental-features-1605.09082"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-function-norm-regularization-of-deep-networks-1605.09085</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-function-norm-regularization-of-deep-networks-1605.09085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-function-norm-regularization-of-deep-networks-1605.09085"/></url>
<url><loc>https://scifaro.com/en/abs/the-bayesian-linear-information-filtering-problem-1605.09088</loc><lastmod>2016-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-bayesian-linear-information-filtering-problem-1605.09088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-bayesian-linear-information-filtering-problem-1605.09088"/></url>
<url><loc>https://scifaro.com/en/abs/parmac-distributed-optimisation-of-nested-functions-with-application-to-learning-binary-autoencoders-1605.09114</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parmac-distributed-optimisation-of-nested-functions-with-application-to-learning-binary-autoencoders-1605.09114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parmac-distributed-optimisation-of-nested-functions-with-application-to-learning-binary-autoencoders-1605.09114"/></url>
<url><loc>https://scifaro.com/en/abs/classification-under-streaming-emerging-new-classes-a-solution-using-completely-random-trees-1605.09131</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-under-streaming-emerging-new-classes-a-solution-using-completely-random-trees-1605.09131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-under-streaming-emerging-new-classes-a-solution-using-completely-random-trees-1605.09131"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-radio-control-and-signal-detection-with-kerlym-a-gym-rl-agent-1605.09221</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-radio-control-and-signal-detection-with-kerlym-a-gym-rl-agent-1605.09221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-radio-control-and-signal-detection-with-kerlym-a-gym-rl-agent-1605.09221"/></url>
<url><loc>https://scifaro.com/en/abs/learning-combinatorial-functions-from-pairwise-comparisons-1605.09227</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-combinatorial-functions-from-pairwise-comparisons-1605.09227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-combinatorial-functions-from-pairwise-comparisons-1605.09227"/></url>
<url><loc>https://scifaro.com/en/abs/k2-means-for-fast-and-accurate-large-scale-clustering-1605.09299</loc><lastmod>2016-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k2-means-for-fast-and-accurate-large-scale-clustering-1605.09299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k2-means-for-fast-and-accurate-large-scale-clustering-1605.09299"/></url>
<url><loc>https://scifaro.com/en/abs/parametric-exponential-linear-unit-for-deep-convolutional-neural-networks-1605.09332</loc><lastmod>2018-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametric-exponential-linear-unit-for-deep-convolutional-neural-networks-1605.09332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametric-exponential-linear-unit-for-deep-convolutional-neural-networks-1605.09332"/></url>
<url><loc>https://scifaro.com/en/abs/minding-the-gaps-for-block-frank-wolfe-optimization-of-structured-svms-1605.09346</loc><lastmod>2016-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minding-the-gaps-for-block-frank-wolfe-optimization-of-structured-svms-1605.09346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minding-the-gaps-for-block-frank-wolfe-optimization-of-structured-svms-1605.09346"/></url>
<url><loc>https://scifaro.com/en/abs/review-of-fall-detection-techniques-a-data-availability-perspective-1605.09351</loc><lastmod>2018-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/review-of-fall-detection-techniques-a-data-availability-perspective-1605.09351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/review-of-fall-detection-techniques-a-data-availability-perspective-1605.09351"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-instance-segmentation-with-recurrent-attention-1605.09410</loc><lastmod>2017-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-instance-segmentation-with-recurrent-attention-1605.09410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-instance-segmentation-with-recurrent-attention-1605.09410"/></url>
<url><loc>https://scifaro.com/en/abs/training-auto-encoders-effectively-via-eliminating-task-irrelevant-input-variables-1605.09458</loc><lastmod>2016-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-auto-encoders-effectively-via-eliminating-task-irrelevant-input-variables-1605.09458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-auto-encoders-effectively-via-eliminating-task-irrelevant-input-variables-1605.09458"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-learning-rate-via-covariance-matrix-based-preconditioning-for-deep-neural-networks-1605.09593</loc><lastmod>2017-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-learning-rate-via-covariance-matrix-based-preconditioning-for-deep-neural-networks-1605.09593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-learning-rate-via-covariance-matrix-based-preconditioning-for-deep-neural-networks-1605.09593"/></url>
<url><loc>https://scifaro.com/en/abs/average-case-hardness-of-rip-certification-1605.09646</loc><lastmod>2016-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/average-case-hardness-of-rip-certification-1605.09646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/average-case-hardness-of-rip-certification-1605.09646"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-filter-networks-1605.09673</loc><lastmod>2016-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-filter-networks-1605.09673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-filter-networks-1605.09673"/></url>
<url><loc>https://scifaro.com/en/abs/vime-variational-information-maximizing-exploration-1605.09674</loc><lastmod>2017-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vime-variational-information-maximizing-exploration-1605.09674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vime-variational-information-maximizing-exploration-1605.09674"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-feature-learning-1605.09782</loc><lastmod>2017-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-feature-learning-1605.09782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-feature-learning-1605.09782"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-bandits-with-latent-confounders-an-nmf-approach-1606.00119</loc><lastmod>2016-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-bandits-with-latent-confounders-an-nmf-approach-1606.00119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-bandits-with-latent-confounders-an-nmf-approach-1606.00119"/></url>
<url><loc>https://scifaro.com/en/abs/self-paced-learning-an-implicit-regularization-perspective-1606.00128</loc><lastmod>2016-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-paced-learning-an-implicit-regularization-perspective-1606.00128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-paced-learning-an-implicit-regularization-perspective-1606.00128"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-troll-trust-model-for-edge-sign-prediction-in-social-networks-1606.00182</loc><lastmod>2017-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-troll-trust-model-for-edge-sign-prediction-in-social-networks-1606.00182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-troll-trust-model-for-edge-sign-prediction-in-social-networks-1606.00182"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-zero-shot-learning-via-concept-embedding-1606.00282</loc><lastmod>2016-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-zero-shot-learning-via-concept-embedding-1606.00282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-zero-shot-learning-via-concept-embedding-1606.00282"/></url>
<url><loc>https://scifaro.com/en/abs/improved-regret-bounds-for-oracle-based-adversarial-contextual-bandits-1606.00313</loc><lastmod>2016-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-regret-bounds-for-oracle-based-adversarial-contextual-bandits-1606.00313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-regret-bounds-for-oracle-based-adversarial-contextual-bandits-1606.00313"/></url>
<url><loc>https://scifaro.com/en/abs/short-communication-on-quist-a-quick-clustering-algorithm-1606.00398</loc><lastmod>2016-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-communication-on-quist-a-quick-clustering-algorithm-1606.00398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-communication-on-quist-a-quick-clustering-algorithm-1606.00398"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-submodular-maximization-via-pruned-submodularity-graphs-1606.00399</loc><lastmod>2016-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-submodular-maximization-via-pruned-submodularity-graphs-1606.00399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-submodular-maximization-via-pruned-submodularity-graphs-1606.00399"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-hessian-free-optimization-for-deep-neural-network-1606.00511</loc><lastmod>2017-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-hessian-free-optimization-for-deep-neural-network-1606.00511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-hessian-free-optimization-for-deep-neural-network-1606.00511"/></url>
<url><loc>https://scifaro.com/en/abs/unified-framework-for-quantification-1606.00868</loc><lastmod>2016-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-framework-for-quantification-1606.00868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-framework-for-quantification-1606.00868"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-job-title-classification-system-1606.00917</loc><lastmod>2016-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-job-title-classification-system-1606.00917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-job-title-classification-system-1606.00917"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-imputation-of-matrix-networks-1606.00925</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-imputation-of-matrix-networks-1606.00925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-imputation-of-matrix-networks-1606.00925"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-14-different-families-of-classification-algorithms-on-115-binary-datasets-1606.00930</loc><lastmod>2016-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-14-different-families-of-classification-algorithms-on-115-binary-datasets-1606.00930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-14-different-families-of-classification-algorithms-on-115-binary-datasets-1606.00930"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-imitation-learning-for-online-sequence-prediction-1606.00968</loc><lastmod>2016-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-imitation-learning-for-online-sequence-prediction-1606.00968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-imitation-learning-for-online-sequence-prediction-1606.00968"/></url>
<url><loc>https://scifaro.com/en/abs/a-graph-based-semi-supervised-k-nearest-neighbor-method-for-nonlinear-manifold-distributed-data-classification-1606.00985</loc><lastmod>2016-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-graph-based-semi-supervised-k-nearest-neighbor-method-for-nonlinear-manifold-distributed-data-classification-1606.00985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-graph-based-semi-supervised-k-nearest-neighbor-method-for-nonlinear-manifold-distributed-data-classification-1606.00985"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-e-mail-spam-filtering-review-techniques-and-trends-1606.01042</loc><lastmod>2016-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-e-mail-spam-filtering-review-techniques-and-trends-1606.01042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-e-mail-spam-filtering-review-techniques-and-trends-1606.01042"/></url>
<url><loc>https://scifaro.com/en/abs/on-valid-optimal-assignment-kernels-and-applications-to-graph-classification-1606.01141</loc><lastmod>2017-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-valid-optimal-assignment-kernels-and-applications-to-graph-classification-1606.01141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-valid-optimal-assignment-kernels-and-applications-to-graph-classification-1606.01141"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-the-convolution-operator-to-extend-cnns-to-irregular-domains-1606.01166</loc><lastmod>2017-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-the-convolution-operator-to-extend-cnns-to-irregular-domains-1606.01166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-the-convolution-operator-to-extend-cnns-to-irregular-domains-1606.01166"/></url>
<url><loc>https://scifaro.com/en/abs/infant-directed-speech-is-consistent-with-teaching-1606.01175</loc><lastmod>2016-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infant-directed-speech-is-consistent-with-teaching-1606.01175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infant-directed-speech-is-consistent-with-teaching-1606.01175"/></url>
<url><loc>https://scifaro.com/en/abs/minimizing-regret-on-reflexive-banach-spaces-and-learning-nash-equilibria-in-continuous-zero-sum-games-1606.01261</loc><lastmod>2016-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimizing-regret-on-reflexive-banach-spaces-and-learning-nash-equilibria-in-continuous-zero-sum-games-1606.01261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimizing-regret-on-reflexive-banach-spaces-and-learning-nash-equilibria-in-continuous-zero-sum-games-1606.01261"/></url>
<url><loc>https://scifaro.com/en/abs/deep-q-networks-for-accelerating-the-training-of-deep-neural-networks-1606.01467</loc><lastmod>2017-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-q-networks-for-accelerating-the-training-of-deep-neural-networks-1606.01467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-q-networks-for-accelerating-the-training-of-deep-neural-networks-1606.01467"/></url>
<url><loc>https://scifaro.com/en/abs/openai-gym-1606.01540</loc><lastmod>2016-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/openai-gym-1606.01540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/openai-gym-1606.01540"/></url>
<url><loc>https://scifaro.com/en/abs/active-regression-with-adaptive-huber-loss-1606.01568</loc><lastmod>2016-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-regression-with-adaptive-huber-loss-1606.01568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-regression-with-adaptive-huber-loss-1606.01568"/></url>
<url><loc>https://scifaro.com/en/abs/feedforward-initialization-for-fast-inference-of-deep-generative-networks-is-biologically-plausible-1606.01651</loc><lastmod>2016-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feedforward-initialization-for-fast-inference-of-deep-generative-networks-is-biologically-plausible-1606.01651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feedforward-initialization-for-fast-inference-of-deep-generative-networks-is-biologically-plausible-1606.01651"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-networks-for-multivariate-time-series-with-missing-values-1606.01865</loc><lastmod>2016-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-networks-for-multivariate-time-series-with-missing-values-1606.01865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-networks-for-multivariate-time-series-with-missing-values-1606.01865"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-optimize-1606.01885</loc><lastmod>2016-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-optimize-1606.01885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-optimize-1606.01885"/></url>
<url><loc>https://scifaro.com/en/abs/regret-bounds-for-non-decomposable-metrics-with-missing-labels-1606.02077</loc><lastmod>2016-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-bounds-for-non-decomposable-metrics-with-missing-labels-1606.02077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-bounds-for-non-decomposable-metrics-with-missing-labels-1606.02077"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-the-reliability-of-mcmc-inference-with-bidirectional-monte-carlo-1606.02275</loc><lastmod>2016-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-the-reliability-of-mcmc-inference-with-bidirectional-monte-carlo-1606.02275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-the-reliability-of-mcmc-inference-with-bidirectional-monte-carlo-1606.02275"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-structured-output-prediction-by-local-linear-regression-and-sub-gradient-descent-1606.02279</loc><lastmod>2016-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-structured-output-prediction-by-local-linear-regression-and-sub-gradient-descent-1606.02279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-structured-output-prediction-by-local-linear-regression-and-sub-gradient-descent-1606.02279"/></url>
<url><loc>https://scifaro.com/en/abs/how-is-a-data-driven-approach-better-than-random-choice-in-label-space-division-for-multi-label-classification-1606.02346</loc><lastmod>2016-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-is-a-data-driven-approach-better-than-random-choice-in-label-space-division-for-multi-label-classification-1606.02346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-is-a-data-driven-approach-better-than-random-choice-in-label-space-division-for-multi-label-classification-1606.02346"/></url>
<url><loc>https://scifaro.com/en/abs/active-long-term-memory-networks-1606.02355</loc><lastmod>2016-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-long-term-memory-networks-1606.02355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-long-term-memory-networks-1606.02355"/></url>
<url><loc>https://scifaro.com/en/abs/se3-nets-learning-rigid-body-motion-using-deep-neural-networks-1606.02378</loc><lastmod>2017-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/se3-nets-learning-rigid-body-motion-using-deep-neural-networks-1606.02378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/se3-nets-learning-rigid-body-motion-using-deep-neural-networks-1606.02378"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-with-same-cluster-queries-1606.02404</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-with-same-cluster-queries-1606.02404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-with-same-cluster-queries-1606.02404"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-play-bandits-in-the-position-based-model-1606.02448</loc><lastmod>2016-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-play-bandits-in-the-position-based-model-1606.02448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-play-bandits-in-the-position-based-model-1606.02448"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-extensible-online-multivariate-kernel-density-estimation-1606.02608</loc><lastmod>2016-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-extensible-online-multivariate-kernel-density-estimation-1606.02608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-extensible-online-multivariate-kernel-density-estimation-1606.02608"/></url>
<url><loc>https://scifaro.com/en/abs/specific-differential-entropy-rate-estimation-for-continuous-valued-time-series-1606.02615</loc><lastmod>2016-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/specific-differential-entropy-rate-estimation-for-continuous-valued-time-series-1606.02615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/specific-differential-entropy-rate-estimation-for-continuous-valued-time-series-1606.02615"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-estimation-of-k-for-the-nearest-neighbors-class-of-methods-1606.02617</loc><lastmod>2016-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-estimation-of-k-for-the-nearest-neighbors-class-of-methods-1606.02617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-estimation-of-k-for-the-nearest-neighbors-class-of-methods-1606.02617"/></url>
<url><loc>https://scifaro.com/en/abs/safe-and-efficient-off-policy-reinforcement-learning-1606.02647</loc><lastmod>2016-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-and-efficient-off-policy-reinforcement-learning-1606.02647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-and-efficient-off-policy-reinforcement-learning-1606.02647"/></url>
<url><loc>https://scifaro.com/en/abs/sketching-for-large-scale-learning-of-mixture-models-1606.02838</loc><lastmod>2017-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sketching-for-large-scale-learning-of-mixture-models-1606.02838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sketching-for-large-scale-learning-of-mixture-models-1606.02838"/></url>
<url><loc>https://scifaro.com/en/abs/e-commerce-product-classification-our-participation-at-cdiscount-2015-challenge-1606.02854</loc><lastmod>2016-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/e-commerce-product-classification-our-participation-at-cdiscount-2015-challenge-1606.02854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/e-commerce-product-classification-our-participation-at-cdiscount-2015-challenge-1606.02854"/></url>
<url><loc>https://scifaro.com/en/abs/discovery-of-latent-factors-in-high-dimensional-data-using-tensor-methods-1606.03212</loc><lastmod>2016-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovery-of-latent-factors-in-high-dimensional-data-using-tensor-methods-1606.03212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovery-of-latent-factors-in-high-dimensional-data-using-tensor-methods-1606.03212"/></url>
<url><loc>https://scifaro.com/en/abs/scan-order-in-gibbs-sampling-models-in-which-it-matters-and-bounds-on-how-much-1606.03432</loc><lastmod>2016-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scan-order-in-gibbs-sampling-models-in-which-it-matters-and-bounds-on-how-much-1606.03432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scan-order-in-gibbs-sampling-models-in-which-it-matters-and-bounds-on-how-much-1606.03432"/></url>
<url><loc>https://scifaro.com/en/abs/deep-directed-generative-models-with-energy-based-probability-estimation-1606.03439</loc><lastmod>2016-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-directed-generative-models-with-energy-based-probability-estimation-1606.03439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-directed-generative-models-with-energy-based-probability-estimation-1606.03439"/></url>
<url><loc>https://scifaro.com/en/abs/learning-overcomplete-low-coherence-dictionaries-with-linear-inference-1606.03474</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-overcomplete-low-coherence-dictionaries-with-linear-inference-1606.03474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-overcomplete-low-coherence-dictionaries-with-linear-inference-1606.03474"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-imitation-learning-1606.03476</loc><lastmod>2016-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-imitation-learning-1606.03476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-imitation-learning-1606.03476"/></url>
<url><loc>https://scifaro.com/en/abs/the-mythos-of-model-interpretability-1606.03490</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-mythos-of-model-interpretability-1606.03490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-mythos-of-model-interpretability-1606.03490"/></url>
<url><loc>https://scifaro.com/en/abs/improved-techniques-for-training-gans-1606.03498</loc><lastmod>2016-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-techniques-for-training-gans-1606.03498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-techniques-for-training-gans-1606.03498"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-machine-learning-in-materials-that-couple-sensing-actuation-computation-and-communication-1606.03508</loc><lastmod>2016-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-machine-learning-in-materials-that-couple-sensing-actuation-computation-and-communication-1606.03508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-machine-learning-in-materials-that-couple-sensing-actuation-computation-and-communication-1606.03508"/></url>
<url><loc>https://scifaro.com/en/abs/metricdtw-local-distance-metric-learning-in-dynamic-time-warping-1606.03628</loc><lastmod>2016-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metricdtw-local-distance-metric-learning-in-dynamic-time-warping-1606.03628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metricdtw-local-distance-metric-learning-in-dynamic-time-warping-1606.03628"/></url>
<url><loc>https://scifaro.com/en/abs/infogan-interpretable-representation-learning-by-information-maximizing-generative-adversarial-nets-1606.03657</loc><lastmod>2016-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infogan-interpretable-representation-learning-by-information-maximizing-generative-adversarial-nets-1606.03657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infogan-interpretable-representation-learning-by-information-maximizing-generative-adversarial-nets-1606.03657"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-several-sparse-recovery-methods-for-low-rank-matrices-with-random-samples-1606.03672</loc><lastmod>2016-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-several-sparse-recovery-methods-for-low-rank-matrices-with-random-samples-1606.03672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-several-sparse-recovery-methods-for-low-rank-matrices-with-random-samples-1606.03672"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-klms-and-krls-algorithms-a-random-fourier-feature-perspective-1606.03685</loc><lastmod>2016-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-klms-and-krls-algorithms-a-random-fourier-feature-perspective-1606.03685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-klms-and-krls-algorithms-a-random-fourier-feature-perspective-1606.03685"/></url>
<url><loc>https://scifaro.com/en/abs/open-set-support-vector-machines-1606.03802</loc><lastmod>2022-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-set-support-vector-machines-1606.03802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-set-support-vector-machines-1606.03802"/></url>
<url><loc>https://scifaro.com/en/abs/sorting-out-typicality-with-the-inverse-moment-matrix-sos-polynomial-1606.03858</loc><lastmod>2016-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sorting-out-typicality-with-the-inverse-moment-matrix-sos-polynomial-1606.03858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sorting-out-typicality-with-the-inverse-moment-matrix-sos-polynomial-1606.03858"/></url>
<url><loc>https://scifaro.com/en/abs/making-contextual-decisions-with-low-technical-debt-1606.03966</loc><lastmod>2017-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-contextual-decisions-with-low-technical-debt-1606.03966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-contextual-decisions-with-low-technical-debt-1606.03966"/></url>
<url><loc>https://scifaro.com/en/abs/trace-norm-regularised-deep-multi-task-learning-1606.04038</loc><lastmod>2017-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trace-norm-regularised-deep-multi-task-learning-1606.04038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trace-norm-regularised-deep-multi-task-learning-1606.04038"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-exact-learnability-of-graph-parameters-the-case-of-partition-functions-1606.04056</loc><lastmod>2016-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-exact-learnability-of-graph-parameters-the-case-of-partition-functions-1606.04056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-exact-learnability-of-graph-parameters-the-case-of-partition-functions-1606.04056"/></url>
<url><loc>https://scifaro.com/en/abs/matching-networks-for-one-shot-learning-1606.04080</loc><lastmod>2018-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matching-networks-for-one-shot-learning-1606.04080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matching-networks-for-one-shot-learning-1606.04080"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-missing-data-in-clinical-time-series-with-rnns-1606.04130</loc><lastmod>2016-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-missing-data-in-clinical-time-series-with-rnns-1606.04130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-missing-data-in-clinical-time-series-with-rnns-1606.04130"/></url>
<url><loc>https://scifaro.com/en/abs/sample-complexity-of-automated-mechanism-design-1606.04145</loc><lastmod>2016-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-complexity-of-automated-mechanism-design-1606.04145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-complexity-of-automated-mechanism-design-1606.04145"/></url>
<url><loc>https://scifaro.com/en/abs/the-crossover-process-learnability-and-data-protection-from-inference-attacks-1606.04160</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-crossover-process-learnability-and-data-protection-from-inference-attacks-1606.04160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-crossover-process-learnability-and-data-protection-from-inference-attacks-1606.04160"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-generative-moment-matching-networks-1606.04218</loc><lastmod>2016-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-generative-moment-matching-networks-1606.04218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-generative-moment-matching-networks-1606.04218"/></url>
<url><loc>https://scifaro.com/en/abs/local-canonical-correlation-analysis-for-nonlinear-common-variables-discovery-1606.04268</loc><lastmod>2017-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-canonical-correlation-analysis-for-nonlinear-common-variables-discovery-1606.04268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-canonical-correlation-analysis-for-nonlinear-common-variables-discovery-1606.04268"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-pairwise-learning-using-kernel-ridge-regression-an-exact-two-step-method-1606.04275</loc><lastmod>2016-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-pairwise-learning-using-kernel-ridge-regression-an-exact-two-step-method-1606.04275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-pairwise-learning-using-kernel-ridge-regression-an-exact-two-step-method-1606.04275"/></url>
<url><loc>https://scifaro.com/en/abs/max-margin-feature-selection-1606.04506</loc><lastmod>2016-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-margin-feature-selection-1606.04506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-margin-feature-selection-1606.04506"/></url>
<url><loc>https://scifaro.com/en/abs/sparsely-connected-and-disjointly-trained-deep-neural-networks-for-low-resource-behavioral-annotation-acoustic-classification-in-couples-therapy-1606.04518</loc><lastmod>2016-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsely-connected-and-disjointly-trained-deep-neural-networks-for-low-resource-behavioral-annotation-acoustic-classification-in-couples-therapy-1606.04518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsely-connected-and-disjointly-trained-deep-neural-networks-for-low-resource-behavioral-annotation-acoustic-classification-in-couples-therapy-1606.04518"/></url>
<url><loc>https://scifaro.com/en/abs/training-variance-and-performance-evaluation-of-neural-networks-in-speech-1606.04521</loc><lastmod>2016-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-variance-and-performance-evaluation-of-neural-networks-in-speech-1606.04521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-variance-and-performance-evaluation-of-neural-networks-in-speech-1606.04521"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-approach-to-dimensionality-reduction-for-anomaly-detection-in-data-traffic-1606.04552</loc><lastmod>2016-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-approach-to-dimensionality-reduction-for-anomaly-detection-in-data-traffic-1606.04552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-approach-to-dimensionality-reduction-for-anomaly-detection-in-data-traffic-1606.04552"/></url>
<url><loc>https://scifaro.com/en/abs/a-two-stage-learning-method-for-protein-protein-interaction-prediction-1606.04561</loc><lastmod>2016-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-two-stage-learning-method-for-protein-protein-interaction-prediction-1606.04561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-two-stage-learning-method-for-protein-protein-interaction-prediction-1606.04561"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-with-macro-actions-1606.04615</loc><lastmod>2016-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-macro-actions-1606.04615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-macro-actions-1606.04615"/></url>
<url><loc>https://scifaro.com/en/abs/finite-time-analysis-for-the-knowledge-gradient-policy-1606.04624</loc><lastmod>2016-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-time-analysis-for-the-knowledge-gradient-policy-1606.04624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-time-analysis-for-the-knowledge-gradient-policy-1606.04624"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-predictors-from-unpaired-input-output-samples-1606.04646</loc><lastmod>2016-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-predictors-from-unpaired-input-output-samples-1606.04646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-predictors-from-unpaired-input-output-samples-1606.04646"/></url>
<url><loc>https://scifaro.com/en/abs/progressive-neural-networks-1606.04671</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progressive-neural-networks-1606.04671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progressive-neural-networks-1606.04671"/></url>
<url><loc>https://scifaro.com/en/abs/bolt-on-differential-privacy-for-scalable-stochastic-gradient-descent-based-analytics-1606.04722</loc><lastmod>2017-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bolt-on-differential-privacy-for-scalable-stochastic-gradient-descent-based-analytics-1606.04722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bolt-on-differential-privacy-for-scalable-stochastic-gradient-descent-based-analytics-1606.04722"/></url>
<url><loc>https://scifaro.com/en/abs/multi-modal-hybrid-deep-neural-network-for-speech-enhancement-1606.04750</loc><lastmod>2016-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-modal-hybrid-deep-neural-network-for-speech-enhancement-1606.04750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-modal-hybrid-deep-neural-network-for-speech-enhancement-1606.04750"/></url>
<url><loc>https://scifaro.com/en/abs/safe-exploration-in-finite-markov-decision-processes-with-gaussian-processes-1606.04753</loc><lastmod>2017-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-exploration-in-finite-markov-decision-processes-with-gaussian-processes-1606.04753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-exploration-in-finite-markov-decision-processes-with-gaussian-processes-1606.04753"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-music-1606.04930</loc><lastmod>2016-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-music-1606.04930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-music-1606.04930"/></url>
<url><loc>https://scifaro.com/en/abs/improving-variational-inference-with-inverse-autoregressive-flow-1606.04934</loc><lastmod>2017-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-variational-inference-with-inverse-autoregressive-flow-1606.04934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-variational-inference-with-inverse-autoregressive-flow-1606.04934"/></url>
<url><loc>https://scifaro.com/en/abs/a-class-of-parallel-doubly-stochastic-algorithms-for-large-scale-learning-1606.04991</loc><lastmod>2016-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-class-of-parallel-doubly-stochastic-algorithms-for-large-scale-learning-1606.04991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-class-of-parallel-doubly-stochastic-algorithms-for-large-scale-learning-1606.04991"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-risk-estimation-using-only-conditional-independence-structure-1606.05313</loc><lastmod>2016-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-risk-estimation-using-only-conditional-independence-structure-1606.05313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-risk-estimation-using-only-conditional-independence-structure-1606.05313"/></url>
<url><loc>https://scifaro.com/en/abs/learning-infinite-layer-networks-without-the-kernel-trick-1606.05316</loc><lastmod>2017-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-infinite-layer-networks-without-the-kernel-trick-1606.05316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-infinite-layer-networks-without-the-kernel-trick-1606.05316"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-method-for-fast-training-of-support-vector-data-description-1606.05382</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-method-for-fast-training-of-support-vector-data-description-1606.05382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-method-for-fast-training-of-support-vector-data-description-1606.05382"/></url>
<url><loc>https://scifaro.com/en/abs/guaranteed-non-convex-optimization-submodular-maximization-over-continuous-domains-1606.05615</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guaranteed-non-convex-optimization-submodular-maximization-over-continuous-domains-1606.05615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guaranteed-non-convex-optimization-submodular-maximization-over-continuous-domains-1606.05615"/></url>
<url><loc>https://scifaro.com/en/abs/linear-classification-of-data-with-support-vector-machines-and-generalized-support-vector-machines-1606.05664</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-classification-of-data-with-support-vector-machines-and-generalized-support-vector-machines-1606.05664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-classification-of-data-with-support-vector-machines-and-generalized-support-vector-machines-1606.05664"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-large-scale-semi-supervised-multi-label-classifier-capable-of-handling-missing-labels-1606.05725</loc><lastmod>2016-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-large-scale-semi-supervised-multi-label-classifier-capable-of-handling-missing-labels-1606.05725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-large-scale-semi-supervised-multi-label-classifier-capable-of-handling-missing-labels-1606.05725"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-analysis-of-classification-data-mining-techniques-deriving-key-factors-useful-for-predicting-students-performance-1606.05735</loc><lastmod>2016-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-analysis-of-classification-data-mining-techniques-deriving-key-factors-useful-for-predicting-students-performance-1606.05735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-analysis-of-classification-data-mining-techniques-deriving-key-factors-useful-for-predicting-students-performance-1606.05735"/></url>
<url><loc>https://scifaro.com/en/abs/guaranteed-bounds-on-the-kullback-leibler-divergence-of-univariate-mixtures-using-piecewise-log-sum-exp-inequalities-1606.05850</loc><lastmod>2017-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guaranteed-bounds-on-the-kullback-leibler-divergence-of-univariate-mixtures-using-piecewise-log-sum-exp-inequalities-1606.05850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guaranteed-bounds-on-the-kullback-leibler-divergence-of-univariate-mixtures-using-piecewise-log-sum-exp-inequalities-1606.05850"/></url>
<url><loc>https://scifaro.com/en/abs/slack-and-margin-rescaling-as-convex-extensions-of-supermodular-functions-1606.05918</loc><lastmod>2017-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slack-and-margin-rescaling-as-convex-extensions-of-supermodular-functions-1606.05918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slack-and-margin-rescaling-as-convex-extensions-of-supermodular-functions-1606.05918"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-elm-to-time-series-classification-a-novel-diversified-top-k-shapelets-extraction-method-1606.05934</loc><lastmod>2016-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-elm-to-time-series-classification-a-novel-diversified-top-k-shapelets-extraction-method-1606.05934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-elm-to-time-series-classification-a-novel-diversified-top-k-shapelets-extraction-method-1606.05934"/></url>
<url><loc>https://scifaro.com/en/abs/relative-natural-gradient-for-learning-large-complex-models-1606.06069</loc><lastmod>2016-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-natural-gradient-for-learning-large-complex-models-1606.06069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-natural-gradient-for-learning-large-complex-models-1606.06069"/></url>
<url><loc>https://scifaro.com/en/abs/cnnlab-a-novel-parallel-framework-for-neural-networks-using-gpu-and-fpga-a-practical-study-with-trade-off-analysis-1606.06234</loc><lastmod>2016-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cnnlab-a-novel-parallel-framework-for-neural-networks-using-gpu-and-fpga-a-practical-study-with-trade-off-analysis-1606.06234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cnnlab-a-novel-parallel-framework-for-neural-networks-using-gpu-and-fpga-a-practical-study-with-trade-off-analysis-1606.06234"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-comparison-of-sampling-quality-metrics-a-case-study-for-bayesian-nonnegative-matrix-factorization-1606.06250</loc><lastmod>2016-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-comparison-of-sampling-quality-metrics-a-case-study-for-bayesian-nonnegative-matrix-factorization-1606.06250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-comparison-of-sampling-quality-metrics-a-case-study-for-bayesian-nonnegative-matrix-factorization-1606.06250"/></url>
<url><loc>https://scifaro.com/en/abs/unanimous-prediction-for-100-precision-with-application-to-learning-semantic-mappings-1606.06368</loc><lastmod>2016-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unanimous-prediction-for-100-precision-with-application-to-learning-semantic-mappings-1606.06368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unanimous-prediction-for-100-precision-with-application-to-learning-semantic-mappings-1606.06368"/></url>
<url><loc>https://scifaro.com/en/abs/an-artificial-neural-network-to-find-correlation-patterns-in-an-arbitrary-number-of-variables-1606.06564</loc><lastmod>2017-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-artificial-neural-network-to-find-correlation-patterns-in-an-arbitrary-number-of-variables-1606.06564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-artificial-neural-network-to-find-correlation-patterns-in-an-arbitrary-number-of-variables-1606.06564"/></url>
<url><loc>https://scifaro.com/en/abs/augmenting-supervised-neural-networks-with-unsupervised-objectives-for-large-scale-image-classification-1606.06582</loc><lastmod>2017-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmenting-supervised-neural-networks-with-unsupervised-objectives-for-large-scale-image-classification-1606.06582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmenting-supervised-neural-networks-with-unsupervised-objectives-for-large-scale-image-classification-1606.06582"/></url>
<url><loc>https://scifaro.com/en/abs/on-multiplicative-integration-with-recurrent-neural-networks-1606.06630</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-multiplicative-integration-with-recurrent-neural-networks-1606.06630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-multiplicative-integration-with-recurrent-neural-networks-1606.06630"/></url>
<url><loc>https://scifaro.com/en/abs/tracking-time-vertex-propagation-using-dynamic-graph-wavelets-1606.06653</loc><lastmod>2016-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tracking-time-vertex-propagation-using-dynamic-graph-wavelets-1606.06653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tracking-time-vertex-propagation-using-dynamic-graph-wavelets-1606.06653"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-semi-supervised-learning-with-graph-based-kernel-machine-1606.06793</loc><lastmod>2017-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-semi-supervised-learning-with-graph-based-kernel-machine-1606.06793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-semi-supervised-learning-with-graph-based-kernel-machine-1606.06793"/></url>
<url><loc>https://scifaro.com/en/abs/towards-stationary-time-vertex-signal-processing-1606.06962</loc><lastmod>2016-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-stationary-time-vertex-signal-processing-1606.06962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-stationary-time-vertex-signal-processing-1606.06962"/></url>
<url><loc>https://scifaro.com/en/abs/ancestral-causal-inference-1606.07035</loc><lastmod>2017-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ancestral-causal-inference-1606.07035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ancestral-causal-inference-1606.07035"/></url>
<url><loc>https://scifaro.com/en/abs/event-abstraction-for-process-mining-using-supervised-learning-techniques-1606.07283</loc><lastmod>2017-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/event-abstraction-for-process-mining-using-supervised-learning-techniques-1606.07283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/event-abstraction-for-process-mining-using-supervised-learning-techniques-1606.07283"/></url>
<url><loc>https://scifaro.com/en/abs/importance-sampling-strategy-for-non-convex-randomized-block-coordinate-descent-1606.07286</loc><lastmod>2016-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-sampling-strategy-for-non-convex-randomized-block-coordinate-descent-1606.07286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-sampling-strategy-for-non-convex-randomized-block-coordinate-descent-1606.07286"/></url>
<url><loc>https://scifaro.com/en/abs/nearly-optimal-robust-matrix-completion-1606.07315</loc><lastmod>2016-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearly-optimal-robust-matrix-completion-1606.07315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearly-optimal-robust-matrix-completion-1606.07315"/></url>
<url><loc>https://scifaro.com/en/abs/multi-stage-temporal-difference-learning-for-2048-like-games-1606.07374</loc><lastmod>2016-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-stage-temporal-difference-learning-for-2048-like-games-1606.07374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-stage-temporal-difference-learning-for-2048-like-games-1606.07374"/></url>
<url><loc>https://scifaro.com/en/abs/satisfying-real-world-goals-with-dataset-constraints-1606.07558</loc><lastmod>2017-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/satisfying-real-world-goals-with-dataset-constraints-1606.07558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/satisfying-real-world-goals-with-dataset-constraints-1606.07558"/></url>
<url><loc>https://scifaro.com/en/abs/is-the-bellman-residual-a-bad-proxy-1606.07636</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-the-bellman-residual-a-bad-proxy-1606.07636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-the-bellman-residual-a-bad-proxy-1606.07636"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-recommender-system-based-on-autoencoders-1606.07659</loc><lastmod>2018-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-recommender-system-based-on-autoencoders-1606.07659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-recommender-system-based-on-autoencoders-1606.07659"/></url>
<url><loc>https://scifaro.com/en/abs/wide-deep-learning-for-recommender-systems-1606.07792</loc><lastmod>2016-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wide-deep-learning-for-recommender-systems-1606.07792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wide-deep-learning-for-recommender-systems-1606.07792"/></url>
<url><loc>https://scifaro.com/en/abs/fast-methods-for-recovering-sparse-parameters-in-linear-low-rank-models-1606.08009</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-methods-for-recovering-sparse-parameters-in-linear-low-rank-models-1606.08009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-methods-for-recovering-sparse-parameters-in-linear-low-rank-models-1606.08009"/></url>
<url><loc>https://scifaro.com/en/abs/training-ldcrf-model-on-unsegmented-sequences-using-connectionist-temporal-classification-1606.08051</loc><lastmod>2016-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-ldcrf-model-on-unsegmented-sequences-using-connectionist-temporal-classification-1606.08051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-ldcrf-model-on-unsegmented-sequences-using-connectionist-temporal-classification-1606.08051"/></url>
<url><loc>https://scifaro.com/en/abs/improved-recurrent-neural-networks-for-session-based-recommendations-1606.08117</loc><lastmod>2016-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-recurrent-neural-networks-for-session-based-recommendations-1606.08117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-recurrent-neural-networks-for-session-based-recommendations-1606.08117"/></url>
<url><loc>https://scifaro.com/en/abs/lifted-rule-injection-for-relation-embeddings-1606.08359</loc><lastmod>2016-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifted-rule-injection-for-relation-embeddings-1606.08359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifted-rule-injection-for-relation-embeddings-1606.08359"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-error-linear-units-gelus-1606.08415</loc><lastmod>2023-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-error-linear-units-gelus-1606.08415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-error-linear-units-gelus-1606.08415"/></url>
<url><loc>https://scifaro.com/en/abs/symmetric-and-antisymmetric-properties-of-solutions-to-kernel-based-machine-learning-problems-1606.08501</loc><lastmod>2016-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetric-and-antisymmetric-properties-of-solutions-to-kernel-based-machine-learning-problems-1606.08501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetric-and-antisymmetric-properties-of-solutions-to-kernel-based-machine-learning-problems-1606.08501"/></url>
<url><loc>https://scifaro.com/en/abs/reviving-threshold-moving-a-simple-plug-in-bagging-ensemble-for-binary-and-multiclass-imbalanced-data-1606.08698</loc><lastmod>2017-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reviving-threshold-moving-a-simple-plug-in-bagging-ensemble-for-binary-and-multiclass-imbalanced-data-1606.08698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reviving-threshold-moving-a-simple-plug-in-bagging-ensemble-for-binary-and-multiclass-imbalanced-data-1606.08698"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-training-of-random-mapping-for-data-quantization-1606.08808</loc><lastmod>2017-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-training-of-random-mapping-for-data-quantization-1606.08808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-training-of-random-mapping-for-data-quantization-1606.08808"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-kernel-consensus-for-data-analysis-1606.08819</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-kernel-consensus-for-data-analysis-1606.08819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-kernel-consensus-for-data-analysis-1606.08819"/></url>
<url><loc>https://scifaro.com/en/abs/active-ranking-from-pairwise-comparisons-and-when-parametric-assumptions-don-t-help-1606.08842</loc><lastmod>2016-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-ranking-from-pairwise-comparisons-and-when-parametric-assumptions-don-t-help-1606.08842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-ranking-from-pairwise-comparisons-and-when-parametric-assumptions-don-t-help-1606.08842"/></url>
<url><loc>https://scifaro.com/en/abs/exact-lower-bounds-for-the-agnostic-probably-approximately-correct-pac-machine-learning-model-1606.08920</loc><lastmod>2018-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-lower-bounds-for-the-agnostic-probably-approximately-correct-pac-machine-learning-model-1606.08920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-lower-bounds-for-the-agnostic-probably-approximately-correct-pac-machine-learning-model-1606.08920"/></url>
<url><loc>https://scifaro.com/en/abs/subgraph2vec-learning-distributed-representations-of-rooted-sub-graphs-from-large-graphs-1606.08928</loc><lastmod>2016-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subgraph2vec-learning-distributed-representations-of-rooted-sub-graphs-from-large-graphs-1606.08928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subgraph2vec-learning-distributed-representations-of-rooted-sub-graphs-from-large-graphs-1606.08928"/></url>
<url><loc>https://scifaro.com/en/abs/decision-making-via-semi-supervised-machine-learning-techniques-1606.09022</loc><lastmod>2016-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-making-via-semi-supervised-machine-learning-techniques-1606.09022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-making-via-semi-supervised-machine-learning-techniques-1606.09022"/></url>
<url><loc>https://scifaro.com/en/abs/actor-critic-versus-direct-policy-search-a-comparison-based-on-sample-complexity-1606.09152</loc><lastmod>2016-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/actor-critic-versus-direct-policy-search-a-comparison-based-on-sample-complexity-1606.09152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/actor-critic-versus-direct-policy-search-a-comparison-based-on-sample-complexity-1606.09152"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-trajectory-based-policy-optimization-with-monotonic-improvement-1606.09197</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-trajectory-based-policy-optimization-with-monotonic-improvement-1606.09197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-trajectory-based-policy-optimization-with-monotonic-improvement-1606.09197"/></url>
<url><loc>https://scifaro.com/en/abs/tighter-bounds-lead-to-improved-classifiers-1606.09202</loc><lastmod>2016-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tighter-bounds-lead-to-improved-classifiers-1606.09202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tighter-bounds-lead-to-improved-classifiers-1606.09202"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-neural-networks-on-graphs-with-fast-localized-spectral-filtering-1606.09375</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-neural-networks-on-graphs-with-fast-localized-spectral-filtering-1606.09375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-neural-networks-on-graphs-with-fast-localized-spectral-filtering-1606.09375"/></url>
<url><loc>https://scifaro.com/en/abs/on-approximate-dynamic-programming-with-multivariate-splines-for-adaptive-control-1606.09383</loc><lastmod>2016-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-approximate-dynamic-programming-with-multivariate-splines-for-adaptive-control-1606.09383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-approximate-dynamic-programming-with-multivariate-splines-for-adaptive-control-1606.09383"/></url>
<url><loc>https://scifaro.com/en/abs/vote-boosting-ensembles-1606.09458</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vote-boosting-ensembles-1606.09458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vote-boosting-ensembles-1606.09458"/></url>
<url><loc>https://scifaro.com/en/abs/performance-based-evaluation-of-various-machine-learning-classification-techniques-for-chronic-kidney-disease-diagnosis-1606.09581</loc><lastmod>2016-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-based-evaluation-of-various-machine-learning-classification-techniques-for-chronic-kidney-disease-diagnosis-1606.09581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-based-evaluation-of-various-machine-learning-classification-techniques-for-chronic-kidney-disease-diagnosis-1606.09581"/></url>
<url><loc>https://scifaro.com/en/abs/a-permutation-based-model-for-crowd-labeling-optimal-estimation-and-robustness-1606.09632</loc><lastmod>2021-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-permutation-based-model-for-crowd-labeling-optimal-estimation-and-robustness-1606.09632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-permutation-based-model-for-crowd-labeling-optimal-estimation-and-robustness-1606.09632"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-neural-turing-machine-with-soft-and-hard-addressing-schemes-1607.00036</loc><lastmod>2017-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-neural-turing-machine-with-soft-and-hard-addressing-schemes-1607.00036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-neural-turing-machine-with-soft-and-hard-addressing-schemes-1607.00036"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-with-imbalanced-data-via-structure-consolidation-latent-variable-model-1607.00067</loc><lastmod>2016-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-with-imbalanced-data-via-structure-consolidation-latent-variable-model-1607.00067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-with-imbalanced-data-via-structure-consolidation-latent-variable-model-1607.00067"/></url>
<url><loc>https://scifaro.com/en/abs/combining-gradient-boosting-machines-with-collective-inference-to-predict-continuous-values-1607.00110</loc><lastmod>2016-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-gradient-boosting-machines-with-collective-inference-to-predict-continuous-values-1607.00110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-gradient-boosting-machines-with-collective-inference-to-predict-continuous-values-1607.00110"/></url>
<url><loc>https://scifaro.com/en/abs/less-forgetting-learning-in-deep-neural-networks-1607.00122</loc><lastmod>2016-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/less-forgetting-learning-in-deep-neural-networks-1607.00122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/less-forgetting-learning-in-deep-neural-networks-1607.00122"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-and-consistent-robust-time-series-analysis-1607.00146</loc><lastmod>2016-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-and-consistent-robust-time-series-analysis-1607.00146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-and-consistent-robust-time-series-analysis-1607.00146"/></url>
<url><loc>https://scifaro.com/en/abs/a-scaled-bregman-theorem-with-applications-1607.00360</loc><lastmod>2016-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scaled-bregman-theorem-with-applications-1607.00360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scaled-bregman-theorem-with-applications-1607.00360"/></url>
<url><loc>https://scifaro.com/en/abs/alzheimer-s-disease-diagnostics-by-adaptation-of-3d-convolutional-network-1607.00455</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alzheimer-s-disease-diagnostics-by-adaptation-of-3d-convolutional-network-1607.00455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alzheimer-s-disease-diagnostics-by-adaptation-of-3d-convolutional-network-1607.00455"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-absorbing-based-on-a-bayesian-approach-1607.00466</loc><lastmod>2016-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-absorbing-based-on-a-bayesian-approach-1607.00466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-absorbing-based-on-a-bayesian-approach-1607.00466"/></url>
<url><loc>https://scifaro.com/en/abs/alzheimer-s-disease-diagnostics-by-a-deeply-supervised-adaptable-3d-convolutional-network-1607.00556</loc><lastmod>2016-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alzheimer-s-disease-diagnostics-by-a-deeply-supervised-adaptable-3d-convolutional-network-1607.00556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alzheimer-s-disease-diagnostics-by-a-deeply-supervised-adaptable-3d-convolutional-network-1607.00556"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-weighted-bipartite-ranking-1607.00847</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-weighted-bipartite-ranking-1607.00847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-weighted-bipartite-ranking-1607.00847"/></url>
<url><loc>https://scifaro.com/en/abs/neighborhood-features-help-detecting-non-technical-losses-in-big-data-sets-1607.00872</loc><lastmod>2017-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neighborhood-features-help-detecting-non-technical-losses-in-big-data-sets-1607.00872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neighborhood-features-help-detecting-non-technical-losses-in-big-data-sets-1607.00872"/></url>
<url><loc>https://scifaro.com/en/abs/adanet-adaptive-structural-learning-of-artificial-neural-networks-1607.01097</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adanet-adaptive-structural-learning-of-artificial-neural-networks-1607.01097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adanet-adaptive-structural-learning-of-artificial-neural-networks-1607.01097"/></url>
<url><loc>https://scifaro.com/en/abs/minimalist-regression-network-with-reinforced-gradients-and-weighted-estimates-a-case-study-on-parameters-estimation-in-automated-welding-1607.01136</loc><lastmod>2016-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimalist-regression-network-with-reinforced-gradients-and-weighted-estimates-a-case-study-on-parameters-estimation-in-automated-welding-1607.01136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimalist-regression-network-with-reinforced-gradients-and-weighted-estimates-a-case-study-on-parameters-estimation-in-automated-welding-1607.01136"/></url>
<url><loc>https://scifaro.com/en/abs/learning-discriminative-features-using-encoder-decoder-type-deep-neural-nets-1607.01354</loc><lastmod>2016-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-discriminative-features-using-encoder-decoder-type-deep-neural-nets-1607.01354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-discriminative-features-using-encoder-decoder-type-deep-neural-nets-1607.01354"/></url>
<url><loc>https://scifaro.com/en/abs/bagged-boosted-trees-for-classification-of-ecological-momentary-assessment-data-1607.01582</loc><lastmod>2016-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bagged-boosted-trees-for-classification-of-ecological-momentary-assessment-data-1607.01582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bagged-boosted-trees-for-classification-of-ecological-momentary-assessment-data-1607.01582"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-hierarchical-redundancy-eliminated-tree-augmented-naive-bayes-classifier-for-coping-with-gene-ontology-based-features-1607.01690</loc><lastmod>2016-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-hierarchical-redundancy-eliminated-tree-augmented-naive-bayes-classifier-for-coping-with-gene-ontology-based-features-1607.01690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-hierarchical-redundancy-eliminated-tree-augmented-naive-bayes-classifier-for-coping-with-gene-ontology-based-features-1607.01690"/></url>
<url><loc>https://scifaro.com/en/abs/deepchrome-deep-learning-for-predicting-gene-expression-from-histone-modifications-1607.02078</loc><lastmod>2016-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepchrome-deep-learning-for-predicting-gene-expression-from-histone-modifications-1607.02078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepchrome-deep-learning-for-predicting-gene-expression-from-histone-modifications-1607.02078"/></url>
<url><loc>https://scifaro.com/en/abs/single-channel-multi-speaker-separation-using-deep-clustering-1607.02173</loc><lastmod>2016-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-channel-multi-speaker-separation-using-deep-clustering-1607.02173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-channel-multi-speaker-separation-using-deep-clustering-1607.02173"/></url>
<url><loc>https://scifaro.com/en/abs/applying-deep-learning-to-the-newsvendor-problem-1607.02177</loc><lastmod>2018-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-deep-learning-to-the-newsvendor-problem-1607.02177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-deep-learning-to-the-newsvendor-problem-1607.02177"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-challenges-in-fixed-point-training-of-deep-convolutional-networks-1607.02241</loc><lastmod>2016-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-challenges-in-fixed-point-training-of-deep-convolutional-networks-1607.02241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-challenges-in-fixed-point-training-of-deep-convolutional-networks-1607.02241"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-deep-convolutional-neural-networks-on-music-classification-1607.02444</loc><lastmod>2016-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-deep-convolutional-neural-networks-on-music-classification-1607.02444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-deep-convolutional-neural-networks-on-music-classification-1607.02444"/></url>
<url><loc>https://scifaro.com/en/abs/adjusting-for-dropout-variance-in-batch-normalization-and-weight-initialization-1607.02488</loc><lastmod>2017-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adjusting-for-dropout-variance-in-batch-normalization-and-weight-initialization-1607.02488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adjusting-for-dropout-variance-in-batch-normalization-and-weight-initialization-1607.02488"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-multiway-data-simple-and-efficient-tensor-regression-1607.02535</loc><lastmod>2016-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-multiway-data-simple-and-efficient-tensor-regression-1607.02535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-multiway-data-simple-and-efficient-tensor-regression-1607.02535"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-schemes-for-power-allocation-in-energy-harvesting-communications-1607.02552</loc><lastmod>2016-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-schemes-for-power-allocation-in-energy-harvesting-communications-1607.02552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-schemes-for-power-allocation-in-energy-harvesting-communications-1607.02552"/></url>
<url><loc>https://scifaro.com/en/abs/uncovering-locally-discriminative-structure-for-feature-analysis-1607.02559</loc><lastmod>2016-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncovering-locally-discriminative-structure-for-feature-analysis-1607.02559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncovering-locally-discriminative-structure-for-feature-analysis-1607.02559"/></url>
<url><loc>https://scifaro.com/en/abs/classifier-risk-estimation-under-limited-labeling-resources-1607.02665</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifier-risk-estimation-under-limited-labeling-resources-1607.02665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifier-risk-estimation-under-limited-labeling-resources-1607.02665"/></url>
<url><loc>https://scifaro.com/en/abs/dealing-with-class-imbalance-using-thresholding-1607.02705</loc><lastmod>2016-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dealing-with-class-imbalance-using-thresholding-1607.02705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dealing-with-class-imbalance-using-thresholding-1607.02705"/></url>
<url><loc>https://scifaro.com/en/abs/tight-lower-bounds-for-multiplicative-weights-algorithmic-families-1607.02834</loc><lastmod>2016-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-lower-bounds-for-multiplicative-weights-algorithmic-families-1607.02834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-lower-bounds-for-multiplicative-weights-algorithmic-families-1607.02834"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-factorization-machines-for-persistently-cold-starting-online-item-recommendation-1607.02858</loc><lastmod>2016-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-factorization-machines-for-persistently-cold-starting-online-item-recommendation-1607.02858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-factorization-machines-for-persistently-cold-starting-online-item-recommendation-1607.02858"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-metric-for-class-conditional-knn-1607.03050</loc><lastmod>2016-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-metric-for-class-conditional-knn-1607.03050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-metric-for-class-conditional-knn-1607.03050"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-methods-for-bandit-convex-optimization-1607.03084</loc><lastmod>2016-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-methods-for-bandit-convex-optimization-1607.03084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-methods-for-bandit-convex-optimization-1607.03084"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-memory-array-structures-1607.03085</loc><lastmod>2016-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-memory-array-structures-1607.03085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-memory-array-structures-1607.03085"/></url>
<url><loc>https://scifaro.com/en/abs/stream-based-online-active-learning-in-a-contextual-multi-armed-bandit-framework-1607.03182</loc><lastmod>2016-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stream-based-online-active-learning-in-a-contextual-multi-armed-bandit-framework-1607.03182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stream-based-online-active-learning-in-a-contextual-multi-armed-bandit-framework-1607.03182"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-calculate-partition-functions-using-convex-programming-hierarchies-provable-bounds-for-variational-methods-1607.03183</loc><lastmod>2016-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-calculate-partition-functions-using-convex-programming-hierarchies-provable-bounds-for-variational-methods-1607.03183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-calculate-partition-functions-using-convex-programming-hierarchies-provable-bounds-for-variational-methods-1607.03183"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-maximum-entropy-principles-via-goemans-williamson-with-applications-to-provable-variational-methods-1607.03360</loc><lastmod>2016-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-maximum-entropy-principles-via-goemans-williamson-with-applications-to-provable-variational-methods-1607.03360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-maximum-entropy-principles-via-goemans-williamson-with-applications-to-provable-variational-methods-1607.03360"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-quantum-control-high-dimensional-global-optimization-for-noisy-quantum-dynamics-1607.03428</loc><lastmod>2017-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-quantum-control-high-dimensional-global-optimization-for-noisy-quantum-dynamics-1607.03428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-quantum-control-high-dimensional-global-optimization-for-noisy-quantum-dynamics-1607.03428"/></url>
<url><loc>https://scifaro.com/en/abs/incomplete-pivoted-qr-based-dimensionality-reduction-1607.03456</loc><lastmod>2016-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incomplete-pivoted-qr-based-dimensionality-reduction-1607.03456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incomplete-pivoted-qr-based-dimensionality-reduction-1607.03456"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-highway-networks-1607.03474</loc><lastmod>2017-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-highway-networks-1607.03474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-highway-networks-1607.03474"/></url>
<url><loc>https://scifaro.com/en/abs/fast-sampling-for-strongly-rayleigh-measures-with-application-to-determinantal-point-processes-1607.03559</loc><lastmod>2016-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-sampling-for-strongly-rayleigh-measures-with-application-to-determinantal-point-processes-1607.03559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-sampling-for-strongly-rayleigh-measures-with-application-to-determinantal-point-processes-1607.03559"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-uncertainty-online-against-an-adversary-1607.03594</loc><lastmod>2017-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-uncertainty-online-against-an-adversary-1607.03594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-uncertainty-online-against-an-adversary-1607.03594"/></url>
<url><loc>https://scifaro.com/en/abs/san-francisco-crime-classification-1607.03626</loc><lastmod>2016-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/san-francisco-crime-classification-1607.03626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/san-francisco-crime-classification-1607.03626"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-cost-sensitive-feature-acquisition-1607.03691</loc><lastmod>2016-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-cost-sensitive-feature-acquisition-1607.03691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-cost-sensitive-feature-acquisition-1607.03691"/></url>
<url><loc>https://scifaro.com/en/abs/fitting-a-simplicial-complex-using-a-variation-of-k-means-1607.03849</loc><lastmod>2016-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitting-a-simplicial-complex-using-a-variation-of-k-means-1607.03849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitting-a-simplicial-complex-using-a-variation-of-k-means-1607.03849"/></url>
<url><loc>https://scifaro.com/en/abs/concatenated-image-completion-via-tensor-augmentation-and-completion-1607.03967</loc><lastmod>2016-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concatenated-image-completion-via-tensor-augmentation-and-completion-1607.03967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concatenated-image-completion-via-tensor-augmentation-and-completion-1607.03967"/></url>
<url><loc>https://scifaro.com/en/abs/fast-algorithms-for-segmented-regression-1607.03990</loc><lastmod>2016-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-algorithms-for-segmented-regression-1607.03990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-algorithms-for-segmented-regression-1607.03990"/></url>
<url><loc>https://scifaro.com/en/abs/fifty-shades-of-ratings-how-to-benefit-from-a-negative-feedback-in-top-n-recommendations-tasks-1607.04228</loc><lastmod>2016-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fifty-shades-of-ratings-how-to-benefit-from-a-negative-feedback-in-top-n-recommendations-tasks-1607.04228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fifty-shades-of-ratings-how-to-benefit-from-a-negative-feedback-in-top-n-recommendations-tasks-1607.04228"/></url>
<url><loc>https://scifaro.com/en/abs/neural-semantic-encoders-1607.04315</loc><lastmod>2017-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-semantic-encoders-1607.04315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-semantic-encoders-1607.04315"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretical-analysis-of-the-bdeu-scores-in-bayesian-network-structure-learning-1607.04427</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-analysis-of-the-bdeu-scores-in-bayesian-network-structure-learning-1607.04427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-analysis-of-the-bdeu-scores-in-bayesian-network-structure-learning-1607.04427"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-conditional-distributions-via-dual-embeddings-1607.04579</loc><lastmod>2017-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-conditional-distributions-via-dual-embeddings-1607.04579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-conditional-distributions-via-dual-embeddings-1607.04579"/></url>
<url><loc>https://scifaro.com/en/abs/guided-policy-search-as-approximate-mirror-descent-1607.04614</loc><lastmod>2016-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guided-policy-search-as-approximate-mirror-descent-1607.04614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guided-policy-search-as-approximate-mirror-descent-1607.04614"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-efficient-representation-and-execution-of-deep-acoustic-models-1607.04683</loc><lastmod>2016-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-efficient-representation-and-execution-of-deep-acoustic-models-1607.04683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-efficient-representation-and-execution-of-deep-acoustic-models-1607.04683"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-solutions-of-differential-equations-using-noisy-multi-fidelity-data-1607.04805</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-solutions-of-differential-equations-using-noisy-multi-fidelity-data-1607.04805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-solutions-of-differential-equations-using-noisy-multi-fidelity-data-1607.04805"/></url>
<url><loc>https://scifaro.com/en/abs/robust-automated-human-activity-recognition-and-its-application-to-sleep-research-1607.04867</loc><lastmod>2017-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-automated-human-activity-recognition-and-its-application-to-sleep-research-1607.04867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-automated-human-activity-recognition-and-its-application-to-sleep-research-1607.04867"/></url>
<url><loc>https://scifaro.com/en/abs/piecewise-convexity-of-artificial-neural-networks-1607.04917</loc><lastmod>2016-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/piecewise-convexity-of-artificial-neural-networks-1607.04917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/piecewise-convexity-of-artificial-neural-networks-1607.04917"/></url>
<url><loc>https://scifaro.com/en/abs/a-semiparametric-model-for-bayesian-reader-identification-1607.05271</loc><lastmod>2016-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-semiparametric-model-for-bayesian-reader-identification-1607.05271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-semiparametric-model-for-bayesian-reader-identification-1607.05271"/></url>
<url><loc>https://scifaro.com/en/abs/priime-a-generic-framework-for-interactive-personalized-interesting-pattern-discovery-1607.05749</loc><lastmod>2016-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/priime-a-generic-framework-for-interactive-personalized-interesting-pattern-discovery-1607.05749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/priime-a-generic-framework-for-interactive-personalized-interesting-pattern-discovery-1607.05749"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-modeling-of-error-functions-as-high-dimensional-landscapes-for-weight-initialization-in-learning-networks-1607.06011</loc><lastmod>2016-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-modeling-of-error-functions-as-high-dimensional-landscapes-for-weight-initialization-in-learning-networks-1607.06011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-modeling-of-error-functions-as-high-dimensional-landscapes-for-weight-initialization-in-learning-networks-1607.06011"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-branch-visits-and-credit-card-up-selling-using-temporal-banking-data-1607.06123</loc><lastmod>2016-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-branch-visits-and-credit-card-up-selling-using-temporal-banking-data-1607.06123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-branch-visits-and-credit-card-up-selling-using-temporal-banking-data-1607.06123"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-quantum-gate-teaching-for-quantum-hardware-design-1607.06146</loc><lastmod>2016-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-quantum-gate-teaching-for-quantum-hardware-design-1607.06146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-quantum-gate-teaching-for-quantum-hardware-design-1607.06146"/></url>
<url><loc>https://scifaro.com/en/abs/an-ensemble-of-machine-learning-and-anti-learning-methods-for-predicting-tumour-patient-survival-rates-1607.06190</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-ensemble-of-machine-learning-and-anti-learning-methods-for-predicting-tumour-patient-survival-rates-1607.06190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-ensemble-of-machine-learning-and-anti-learning-methods-for-predicting-tumour-patient-survival-rates-1607.06190"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-clustering-of-asymmetric-networks-1607.06294</loc><lastmod>2016-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-clustering-of-asymmetric-networks-1607.06294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-clustering-of-asymmetric-networks-1607.06294"/></url>
<url><loc>https://scifaro.com/en/abs/admissible-hierarchical-clustering-methods-and-algorithms-for-asymmetric-networks-1607.06335</loc><lastmod>2016-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/admissible-hierarchical-clustering-methods-and-algorithms-for-asymmetric-networks-1607.06335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/admissible-hierarchical-clustering-methods-and-algorithms-for-asymmetric-networks-1607.06335"/></url>
<url><loc>https://scifaro.com/en/abs/excisive-hierarchical-clustering-methods-for-network-data-1607.06339</loc><lastmod>2016-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/excisive-hierarchical-clustering-methods-for-network-data-1607.06339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/excisive-hierarchical-clustering-methods-for-network-data-1607.06339"/></url>
<url><loc>https://scifaro.com/en/abs/cgmos-certainty-guided-minority-oversampling-1607.06525</loc><lastmod>2016-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cgmos-certainty-guided-minority-oversampling-1607.06525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cgmos-certainty-guided-minority-oversampling-1607.06525"/></url>
<url><loc>https://scifaro.com/en/abs/e-distance-weighted-support-vector-regression-1607.06657</loc><lastmod>2016-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/e-distance-weighted-support-vector-regression-1607.06657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/e-distance-weighted-support-vector-regression-1607.06657"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-use-of-sparse-filtering-for-covariate-shift-adaptation-1607.06781</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-use-of-sparse-filtering-for-covariate-shift-adaptation-1607.06781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-use-of-sparse-filtering-for-covariate-shift-adaptation-1607.06781"/></url>
<url><loc>https://scifaro.com/en/abs/interactive-learning-from-multiple-noisy-labels-1607.06988</loc><lastmod>2016-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interactive-learning-from-multiple-noisy-labels-1607.06988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interactive-learning-from-multiple-noisy-labels-1607.06988"/></url>
<url><loc>https://scifaro.com/en/abs/impact-of-physical-activity-on-sleep-a-deep-learning-based-exploration-1607.07034</loc><lastmod>2017-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impact-of-physical-activity-on-sleep-a-deep-learning-based-exploration-1607.07034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impact-of-physical-activity-on-sleep-a-deep-learning-based-exploration-1607.07034"/></url>
<url><loc>https://scifaro.com/en/abs/an-actor-critic-algorithm-for-sequence-prediction-1607.07086</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-actor-critic-algorithm-for-sequence-prediction-1607.07086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-actor-critic-algorithm-for-sequence-prediction-1607.07086"/></url>
<url><loc>https://scifaro.com/en/abs/deep-nets-for-local-manifold-learning-1607.07110</loc><lastmod>2016-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-nets-for-local-manifold-learning-1607.07110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-nets-for-local-manifold-learning-1607.07110"/></url>
<url><loc>https://scifaro.com/en/abs/a-cross-entropy-based-method-to-perform-information-based-feature-selection-1607.07186</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-cross-entropy-based-method-to-perform-information-based-feature-selection-1607.07186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-cross-entropy-based-method-to-perform-information-based-feature-selection-1607.07186"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-test-for-joint-distributions-equivalence-1607.07270</loc><lastmod>2016-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-test-for-joint-distributions-equivalence-1607.07270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-test-for-joint-distributions-equivalence-1607.07270"/></url>
<url><loc>https://scifaro.com/en/abs/seeing-the-forest-from-the-trees-in-two-looks-matrix-sketching-by-cascaded-bilateral-sampling-1607.07395</loc><lastmod>2016-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seeing-the-forest-from-the-trees-in-two-looks-matrix-sketching-by-cascaded-bilateral-sampling-1607.07395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seeing-the-forest-from-the-trees-in-two-looks-matrix-sketching-by-cascaded-bilateral-sampling-1607.07395"/></url>
<url><loc>https://scifaro.com/en/abs/a-non-parametric-control-chart-for-high-frequency-multivariate-data-1607.07423</loc><lastmod>2018-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-non-parametric-control-chart-for-high-frequency-multivariate-data-1607.07423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-non-parametric-control-chart-for-high-frequency-multivariate-data-1607.07423"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-resistance-of-nearest-neighbor-to-random-noisy-labels-1607.07526</loc><lastmod>2018-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-resistance-of-nearest-neighbor-to-random-noisy-labels-1607.07526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-resistance-of-nearest-neighbor-to-random-noisy-labels-1607.07526"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-nonnegative-matrix-factorization-and-measure-comparisons-for-recommender-systems-1607.07607</loc><lastmod>2019-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-nonnegative-matrix-factorization-and-measure-comparisons-for-recommender-systems-1607.07607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-nonnegative-matrix-factorization-and-measure-comparisons-for-recommender-systems-1607.07607"/></url>
<url><loc>https://scifaro.com/en/abs/learning-null-space-projections-in-operational-space-formulation-1607.07611</loc><lastmod>2016-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-null-space-projections-in-operational-space-formulation-1607.07611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-null-space-projections-in-operational-space-formulation-1607.07611"/></url>
<url><loc>https://scifaro.com/en/abs/error-resilient-machine-learning-in-near-threshold-voltage-via-classifier-ensemble-1607.07804</loc><lastmod>2016-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-resilient-machine-learning-in-near-threshold-voltage-via-classifier-ensemble-1607.07804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-resilient-machine-learning-in-near-threshold-voltage-via-classifier-ensemble-1607.07804"/></url>
<url><loc>https://scifaro.com/en/abs/using-kernel-methods-and-model-selection-for-prediction-of-preterm-birth-1607.07959</loc><lastmod>2016-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-kernel-methods-and-model-selection-for-prediction-of-preterm-birth-1607.07959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-kernel-methods-and-model-selection-for-prediction-of-preterm-birth-1607.07959"/></url>
<url><loc>https://scifaro.com/en/abs/learning-of-generalized-low-rank-models-a-greedy-approach-1607.08012</loc><lastmod>2016-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-of-generalized-low-rank-models-a-greedy-approach-1607.08012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-of-generalized-low-rank-models-a-greedy-approach-1607.08012"/></url>
<url><loc>https://scifaro.com/en/abs/diagnostic-prediction-using-discomfort-drawings-with-ibtm-1607.08206</loc><lastmod>2016-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diagnostic-prediction-using-discomfort-drawings-with-ibtm-1607.08206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diagnostic-prediction-using-discomfort-drawings-with-ibtm-1607.08206"/></url>
<url><loc>https://scifaro.com/en/abs/randomised-algorithm-for-feature-selection-and-classification-1607.08400</loc><lastmod>2016-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomised-algorithm-for-feature-selection-and-classification-1607.08400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomised-algorithm-for-feature-selection-and-classification-1607.08400"/></url>
<url><loc>https://scifaro.com/en/abs/a-non-parametric-learning-approach-to-identify-online-human-trafficking-1607.08691</loc><lastmod>2016-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-non-parametric-learning-approach-to-identify-online-human-trafficking-1607.08691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-non-parametric-learning-approach-to-identify-online-human-trafficking-1607.08691"/></url>
<url><loc>https://scifaro.com/en/abs/topicresponse-a-marriage-of-topic-modelling-and-rasch-modelling-for-automatic-measurement-in-moocs-1607.08720</loc><lastmod>2017-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topicresponse-a-marriage-of-topic-modelling-and-rasch-modelling-for-automatic-measurement-in-moocs-1607.08720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topicresponse-a-marriage-of-topic-modelling-and-rasch-modelling-for-automatic-measurement-in-moocs-1607.08720"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-of-event-definitions-1608.00100</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-of-event-definitions-1608.00100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-of-event-definitions-1608.00100"/></url>
<url><loc>https://scifaro.com/en/abs/world-knowledge-as-indirect-supervision-for-document-clustering-1608.00104</loc><lastmod>2016-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/world-knowledge-as-indirect-supervision-for-document-clustering-1608.00104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/world-knowledge-as-indirect-supervision-for-document-clustering-1608.00104"/></url>
<url><loc>https://scifaro.com/en/abs/hyperparameter-transfer-learning-through-surrogate-alignment-for-efficient-deep-neural-network-training-1608.00218</loc><lastmod>2016-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperparameter-transfer-learning-through-surrogate-alignment-for-efficient-deep-neural-network-training-1608.00218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperparameter-transfer-learning-through-surrogate-alignment-for-efficient-deep-neural-network-training-1608.00218"/></url>
<url><loc>https://scifaro.com/en/abs/learning-robust-features-using-deep-learning-for-automatic-seizure-detection-1608.00220</loc><lastmod>2016-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-robust-features-using-deep-learning-for-automatic-seizure-detection-1608.00220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-robust-features-using-deep-learning-for-automatic-seizure-detection-1608.00220"/></url>
<url><loc>https://scifaro.com/en/abs/input-output-non-linear-dynamical-systems-applied-to-physiological-condition-monitoring-1608.00242</loc><lastmod>2016-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/input-output-non-linear-dynamical-systems-applied-to-physiological-condition-monitoring-1608.00242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/input-output-non-linear-dynamical-systems-applied-to-physiological-condition-monitoring-1608.00242"/></url>
<url><loc>https://scifaro.com/en/abs/on-regularization-parameter-estimation-under-covariate-shift-1608.00250</loc><lastmod>2018-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-regularization-parameter-estimation-under-covariate-shift-1608.00250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-regularization-parameter-estimation-under-covariate-shift-1608.00250"/></url>
<url><loc>https://scifaro.com/en/abs/early-methods-for-detecting-adversarial-images-1608.00530</loc><lastmod>2017-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-methods-for-detecting-adversarial-images-1608.00530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-methods-for-detecting-adversarial-images-1608.00530"/></url>
<url><loc>https://scifaro.com/en/abs/recursion-free-online-multiple-incremental-decremental-analysis-based-on-ridge-support-vector-learning-1608.00619</loc><lastmod>2016-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursion-free-online-multiple-incremental-decremental-analysis-based-on-ridge-support-vector-learning-1608.00619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursion-free-online-multiple-incremental-decremental-analysis-based-on-ridge-support-vector-learning-1608.00619"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-multiple-incremental-computation-for-kernel-ridge-regression-with-bayesian-uncertainty-modeling-1608.00621</loc><lastmod>2017-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-multiple-incremental-computation-for-kernel-ridge-regression-with-bayesian-uncertainty-modeling-1608.00621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-multiple-incremental-computation-for-kernel-ridge-regression-with-bayesian-uncertainty-modeling-1608.00621"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-prediction-of-disease-onsets-from-longitudinal-lab-tests-1608.00647</loc><lastmod>2016-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-prediction-of-disease-onsets-from-longitudinal-lab-tests-1608.00647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-prediction-of-disease-onsets-from-longitudinal-lab-tests-1608.00647"/></url>
<url><loc>https://scifaro.com/en/abs/can-active-learning-experience-be-transferred-1608.00667</loc><lastmod>2016-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-active-learning-experience-be-transferred-1608.00667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-active-learning-experience-be-transferred-1608.00667"/></url>
<url><loc>https://scifaro.com/en/abs/size-consistent-statistics-for-anomaly-detection-in-dynamic-networks-1608.00712</loc><lastmod>2016-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/size-consistent-statistics-for-anomaly-detection-in-dynamic-networks-1608.00712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/size-consistent-statistics-for-anomaly-detection-in-dynamic-networks-1608.00712"/></url>
<url><loc>https://scifaro.com/en/abs/mitochondria-based-renal-cell-carcinoma-subtyping-learning-from-deep-vs-flat-feature-representations-1608.00842</loc><lastmod>2016-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitochondria-based-renal-cell-carcinoma-subtyping-learning-from-deep-vs-flat-feature-representations-1608.00842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitochondria-based-renal-cell-carcinoma-subtyping-learning-from-deep-vs-flat-feature-representations-1608.00842"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchically-compositional-kernels-for-scalable-nonparametric-learning-1608.00860</loc><lastmod>2017-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchically-compositional-kernels-for-scalable-nonparametric-learning-1608.00860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchically-compositional-kernels-for-scalable-nonparametric-learning-1608.00860"/></url>
<url><loc>https://scifaro.com/en/abs/returnn-the-rwth-extensible-training-framework-for-universal-recurrent-neural-networks-1608.00895</loc><lastmod>2017-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/returnn-the-rwth-extensible-training-framework-for-universal-recurrent-neural-networks-1608.00895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/returnn-the-rwth-extensible-training-framework-for-universal-recurrent-neural-networks-1608.00895"/></url>
<url><loc>https://scifaro.com/en/abs/fuzzy-c-shape-a-new-algorithm-for-clustering-finite-time-series-waveforms-1608.01072</loc><lastmod>2016-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fuzzy-c-shape-a-new-algorithm-for-clustering-finite-time-series-waveforms-1608.01072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fuzzy-c-shape-a-new-algorithm-for-clustering-finite-time-series-waveforms-1608.01072"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-driven-support-vector-clustering-from-ensemble-learning-to-automatic-parameter-estimation-1608.01198</loc><lastmod>2016-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-driven-support-vector-clustering-from-ensemble-learning-to-automatic-parameter-estimation-1608.01198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-driven-support-vector-clustering-from-ensemble-learning-to-automatic-parameter-estimation-1608.01198"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-driving-simulator-1608.01230</loc><lastmod>2016-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-driving-simulator-1608.01230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-driving-simulator-1608.01230"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-simple-optimization-for-poisson-likelihood-models-1608.01264</loc><lastmod>2016-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-simple-optimization-for-poisson-likelihood-models-1608.01264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-simple-optimization-for-poisson-likelihood-models-1608.01264"/></url>
<url><loc>https://scifaro.com/en/abs/learning-online-alignments-with-continuous-rewards-policy-gradient-1608.01281</loc><lastmod>2016-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-online-alignments-with-continuous-rewards-policy-gradient-1608.01281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-online-alignments-with-continuous-rewards-policy-gradient-1608.01281"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-kernel-and-mutual-k-nearest-neighbor-regression-1608.01410</loc><lastmod>2016-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-kernel-and-mutual-k-nearest-neighbor-regression-1608.01410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-kernel-and-mutual-k-nearest-neighbor-regression-1608.01410"/></url>
<url><loc>https://scifaro.com/en/abs/a-distance-for-hmms-based-on-aggregated-wasserstein-metric-and-state-registration-1608.01747</loc><lastmod>2016-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distance-for-hmms-based-on-aggregated-wasserstein-metric-and-state-registration-1608.01747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distance-for-hmms-based-on-aggregated-wasserstein-metric-and-state-registration-1608.01747"/></url>
<url><loc>https://scifaro.com/en/abs/forward-stagewise-additive-model-for-collaborative-multiview-boosting-1608.01874</loc><lastmod>2016-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forward-stagewise-additive-model-for-collaborative-multiview-boosting-1608.01874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forward-stagewise-additive-model-for-collaborative-multiview-boosting-1608.01874"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-parallel-block-minimization-for-kernel-machines-1608.02010</loc><lastmod>2016-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-parallel-block-minimization-for-kernel-machines-1608.02010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-parallel-block-minimization-for-kernel-machines-1608.02010"/></url>
<url><loc>https://scifaro.com/en/abs/transferring-knowledge-from-text-to-predict-disease-onset-1608.02071</loc><lastmod>2020-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferring-knowledge-from-text-to-predict-disease-onset-1608.02071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferring-knowledge-from-text-to-predict-disease-onset-1608.02071"/></url>
<url><loc>https://scifaro.com/en/abs/how-much-did-it-rain-predicting-real-rainfall-totals-based-on-radar-data-1608.02126</loc><lastmod>2016-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-much-did-it-rain-predicting-real-rainfall-totals-based-on-radar-data-1608.02126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-much-did-it-rain-predicting-real-rainfall-totals-based-on-radar-data-1608.02126"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-union-of-subspace-structure-to-improve-constrained-clustering-1608.02146</loc><lastmod>2017-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-union-of-subspace-structure-to-improve-constrained-clustering-1608.02146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-union-of-subspace-structure-to-improve-constrained-clustering-1608.02146"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-characterization-of-the-statistical-query-complexity-1608.02198</loc><lastmod>2017-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-characterization-of-the-statistical-query-complexity-1608.02198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-characterization-of-the-statistical-query-complexity-1608.02198"/></url>
<url><loc>https://scifaro.com/en/abs/robust-high-dimensional-linear-regression-1608.02257</loc><lastmod>2016-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-high-dimensional-linear-regression-1608.02257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-high-dimensional-linear-regression-1608.02257"/></url>
<url><loc>https://scifaro.com/en/abs/online-adaptation-of-deep-architectures-with-reinforcement-learning-1608.02292</loc><lastmod>2017-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-adaptation-of-deep-architectures-with-reinforcement-learning-1608.02292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-adaptation-of-deep-architectures-with-reinforcement-learning-1608.02292"/></url>
<url><loc>https://scifaro.com/en/abs/uncovering-voice-misuse-using-symbolic-mismatch-1608.02301</loc><lastmod>2016-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncovering-voice-misuse-using-symbolic-mismatch-1608.02301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncovering-voice-misuse-using-symbolic-mismatch-1608.02301"/></url>
<url><loc>https://scifaro.com/en/abs/towards-representation-learning-with-tractable-probabilistic-models-1608.02341</loc><lastmod>2016-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-representation-learning-with-tractable-probabilistic-models-1608.02341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-representation-learning-with-tractable-probabilistic-models-1608.02341"/></url>
<url><loc>https://scifaro.com/en/abs/interpolated-discretized-embedding-of-single-vectors-and-vector-pairs-for-classification-metric-learning-and-distance-approximation-1608.02484</loc><lastmod>2016-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpolated-discretized-embedding-of-single-vectors-and-vector-pairs-for-classification-metric-learning-and-distance-approximation-1608.02484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpolated-discretized-embedding-of-single-vectors-and-vector-pairs-for-classification-metric-learning-and-distance-approximation-1608.02484"/></url>
<url><loc>https://scifaro.com/en/abs/effective-data-mining-technique-for-classification-cancers-via-mutations-in-gene-using-neural-network-1608.02888</loc><lastmod>2016-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-data-mining-technique-for-classification-cancers-via-mutations-in-gene-using-neural-network-1608.02888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-data-mining-technique-for-classification-cancers-via-mutations-in-gene-using-neural-network-1608.02888"/></url>
<url><loc>https://scifaro.com/en/abs/syntactically-informed-text-compression-with-recurrent-neural-networks-1608.02893</loc><lastmod>2016-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/syntactically-informed-text-compression-with-recurrent-neural-networks-1608.02893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/syntactically-informed-text-compression-with-recurrent-neural-networks-1608.02893"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-rank-1-bandits-1608.03023</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-rank-1-bandits-1608.03023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-rank-1-bandits-1608.03023"/></url>
<url><loc>https://scifaro.com/en/abs/deep-vs-shallow-networks-an-approximation-theory-perspective-1608.03287</loc><lastmod>2016-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-vs-shallow-networks-an-approximation-theory-perspective-1608.03287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-vs-shallow-networks-an-approximation-theory-perspective-1608.03287"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-learning-and-sequence-modeling-for-a-job-recommender-system-1608.03333</loc><lastmod>2016-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-learning-and-sequence-modeling-for-a-job-recommender-system-1608.03333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-learning-and-sequence-modeling-for-a-job-recommender-system-1608.03333"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-learning-with-regularized-least-squares-1608.03339</loc><lastmod>2017-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-learning-with-regularized-least-squares-1608.03339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-learning-with-regularized-least-squares-1608.03339"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-prediction-of-gene-regulatory-networks-using-machine-learning-algorithms-1608.03530</loc><lastmod>2016-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-prediction-of-gene-regulatory-networks-using-machine-learning-algorithms-1608.03530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-prediction-of-gene-regulatory-networks-using-machine-learning-algorithms-1608.03530"/></url>
<url><loc>https://scifaro.com/en/abs/on-context-dependent-clustering-of-bandits-1608.03544</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-context-dependent-clustering-of-bandits-1608.03544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-context-dependent-clustering-of-bandits-1608.03544"/></url>
<url><loc>https://scifaro.com/en/abs/chi-squared-amplification-identifying-hidden-hubs-1608.03643</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chi-squared-amplification-identifying-hidden-hubs-1608.03643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chi-squared-amplification-identifying-hidden-hubs-1608.03643"/></url>
<url><loc>https://scifaro.com/en/abs/deep-motif-dashboard-visualizing-and-understanding-genomic-sequences-using-deep-neural-networks-1608.03644</loc><lastmod>2016-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-motif-dashboard-visualizing-and-understanding-genomic-sequences-using-deep-neural-networks-1608.03644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-motif-dashboard-visualizing-and-understanding-genomic-sequences-using-deep-neural-networks-1608.03644"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-value-ramp-1608.03647</loc><lastmod>2017-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-value-ramp-1608.03647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-value-ramp-1608.03647"/></url>
<url><loc>https://scifaro.com/en/abs/improved-dynamic-regret-for-non-degenerate-functions-1608.03933</loc><lastmod>2017-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-dynamic-regret-for-non-degenerate-functions-1608.03933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-dynamic-regret-for-non-degenerate-functions-1608.03933"/></url>
<url><loc>https://scifaro.com/en/abs/sgdr-stochastic-gradient-descent-with-warm-restarts-1608.03983</loc><lastmod>2017-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgdr-stochastic-gradient-descent-with-warm-restarts-1608.03983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgdr-stochastic-gradient-descent-with-warm-restarts-1608.03983"/></url>
<url><loc>https://scifaro.com/en/abs/an-approach-to-dealing-with-missing-values-in-heterogeneous-data-using-k-nearest-neighbors-1608.04037</loc><lastmod>2016-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-approach-to-dealing-with-missing-values-in-heterogeneous-data-using-k-nearest-neighbors-1608.04037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-approach-to-dealing-with-missing-values-in-heterogeneous-data-using-k-nearest-neighbors-1608.04037"/></url>
<url><loc>https://scifaro.com/en/abs/stacked-approximated-regression-machine-a-simple-deep-learning-approach-1608.04062</loc><lastmod>2016-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stacked-approximated-regression-machine-a-simple-deep-learning-approach-1608.04062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stacked-approximated-regression-machine-a-simple-deep-learning-approach-1608.04062"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-model-selection-methods-for-mutual-and-symmetric-k-nearest-neighbor-classification-1608.04063</loc><lastmod>2016-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-model-selection-methods-for-mutual-and-symmetric-k-nearest-neighbor-classification-1608.04063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-model-selection-methods-for-mutual-and-symmetric-k-nearest-neighbor-classification-1608.04063"/></url>
<url><loc>https://scifaro.com/en/abs/generative-knowledge-transfer-for-neural-language-models-1608.04077</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-knowledge-transfer-for-neural-language-models-1608.04077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-knowledge-transfer-for-neural-language-models-1608.04077"/></url>
<url><loc>https://scifaro.com/en/abs/correlated-pca-principal-components-analysis-when-data-and-noise-are-correlated-1608.04320</loc><lastmod>2016-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlated-pca-principal-components-analysis-when-data-and-noise-are-correlated-1608.04320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlated-pca-principal-components-analysis-when-data-and-noise-are-correlated-1608.04320"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-constraints-for-overlapping-data-clustering-1608.04331</loc><lastmod>2016-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-constraints-for-overlapping-data-clustering-1608.04331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-constraints-for-overlapping-data-clustering-1608.04331"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-and-classification-for-streaming-data-using-pdes-1608.04348</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-and-classification-for-streaming-data-using-pdes-1608.04348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-and-classification-for-streaming-data-using-pdes-1608.04348"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-of-erm-in-stochastic-convex-optimization-the-dimension-strikes-back-1608.04414</loc><lastmod>2016-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-of-erm-in-stochastic-convex-optimization-the-dimension-strikes-back-1608.04414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-of-erm-in-stochastic-convex-optimization-the-dimension-strikes-back-1608.04414"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-for-unsupervised-deep-neural-nets-1608.04426</loc><lastmod>2017-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-for-unsupervised-deep-neural-nets-1608.04426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-for-unsupervised-deep-neural-nets-1608.04426"/></url>
<url><loc>https://scifaro.com/en/abs/terpret-a-probabilistic-programming-language-for-program-induction-1608.04428</loc><lastmod>2016-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/terpret-a-probabilistic-programming-language-for-program-induction-1608.04428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/terpret-a-probabilistic-programming-language-for-program-induction-1608.04428"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-transfer-learning-method-based-on-common-space-mapping-and-weighted-domain-matching-1608.04581</loc><lastmod>2016-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-transfer-learning-method-based-on-common-space-mapping-and-weighted-domain-matching-1608.04581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-transfer-learning-method-based-on-common-space-mapping-and-weighted-domain-matching-1608.04581"/></url>
<url><loc>https://scifaro.com/en/abs/linear-convergence-of-gradient-and-proximal-gradient-methods-under-the-polyak-l-ojasiewicz-condition-1608.04636</loc><lastmod>2020-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-convergence-of-gradient-and-proximal-gradient-methods-under-the-polyak-l-ojasiewicz-condition-1608.04636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-convergence-of-gradient-and-proximal-gradient-methods-under-the-polyak-l-ojasiewicz-condition-1608.04636"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-multiview-techniques-to-nhanes-dataset-1608.04783</loc><lastmod>2016-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-multiview-techniques-to-nhanes-dataset-1608.04783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-multiview-techniques-to-nhanes-dataset-1608.04783"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-collaborative-filtering-with-compound-poisson-factorization-1608.04839</loc><lastmod>2016-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-collaborative-filtering-with-compound-poisson-factorization-1608.04839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-collaborative-filtering-with-compound-poisson-factorization-1608.04839"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-algorithms-for-regret-minimization-in-structured-markov-decision-processes-1608.04929</loc><lastmod>2016-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-algorithms-for-regret-minimization-in-structured-markov-decision-processes-1608.04929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-algorithms-for-regret-minimization-in-structured-markov-decision-processes-1608.04929"/></url>
<url><loc>https://scifaro.com/en/abs/mollifying-networks-1608.04980</loc><lastmod>2016-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mollifying-networks-1608.04980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mollifying-networks-1608.04980"/></url>
<url><loc>https://scifaro.com/en/abs/bbq-networks-efficient-exploration-in-deep-reinforcement-learning-for-task-oriented-dialogue-systems-1608.05081</loc><lastmod>2017-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bbq-networks-efficient-exploration-in-deep-reinforcement-learning-for-task-oriented-dialogue-systems-1608.05081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bbq-networks-efficient-exploration-in-deep-reinforcement-learning-for-task-oriented-dialogue-systems-1608.05081"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-network-approach-to-county-level-corn-yield-prediction-using-historical-data-and-expert-knowledge-1608.05127</loc><lastmod>2016-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-network-approach-to-county-level-corn-yield-prediction-using-historical-data-and-expert-knowledge-1608.05127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-network-approach-to-county-level-corn-yield-prediction-using-historical-data-and-expert-knowledge-1608.05127"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-sparse-linear-regression-1608.05152</loc><lastmod>2016-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-sparse-linear-regression-1608.05152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-sparse-linear-regression-1608.05152"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-nonparametric-approach-for-estimating-individualized-treatment-response-curves-1608.05182</loc><lastmod>2016-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-nonparametric-approach-for-estimating-individualized-treatment-response-curves-1608.05182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-nonparametric-approach-for-estimating-individualized-treatment-response-curves-1608.05182"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-approximation-of-expensive-functions-with-normal-distributed-output-uncertainty-1608.05225</loc><lastmod>2016-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-approximation-of-expensive-functions-with-normal-distributed-output-uncertainty-1608.05225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-approximation-of-expensive-functions-with-normal-distributed-output-uncertainty-1608.05225"/></url>
<url><loc>https://scifaro.com/en/abs/a-tight-convex-upper-bound-on-the-likelihood-of-a-finite-mixture-1608.05275</loc><lastmod>2016-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tight-convex-upper-bound-on-the-likelihood-of-a-finite-mixture-1608.05275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tight-convex-upper-bound-on-the-likelihood-of-a-finite-mixture-1608.05275"/></url>
<url><loc>https://scifaro.com/en/abs/caveats-on-bayesian-and-hidden-markov-models-v2-8-1608.05277</loc><lastmod>2017-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/caveats-on-bayesian-and-hidden-markov-models-v2-8-1608.05277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/caveats-on-bayesian-and-hidden-markov-models-v2-8-1608.05277"/></url>
<url><loc>https://scifaro.com/en/abs/decoupled-neural-interfaces-using-synthetic-gradients-1608.05343</loc><lastmod>2017-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupled-neural-interfaces-using-synthetic-gradients-1608.05343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupled-neural-interfaces-using-synthetic-gradients-1608.05343"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-views-agreement-an-iterative-low-rank-based-structured-optimization-method-to-multi-view-spectral-clustering-1608.05560</loc><lastmod>2016-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-views-agreement-an-iterative-low-rank-based-structured-optimization-method-to-multi-view-spectral-clustering-1608.05560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-views-agreement-an-iterative-low-rank-based-structured-optimization-method-to-multi-view-spectral-clustering-1608.05560"/></url>
<url><loc>https://scifaro.com/en/abs/a-strongly-quasiconvex-pac-bayesian-bound-1608.05610</loc><lastmod>2017-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-strongly-quasiconvex-pac-bayesian-bound-1608.05610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-strongly-quasiconvex-pac-bayesian-bound-1608.05610"/></url>
<url><loc>https://scifaro.com/en/abs/operator-valued-bochner-theorem-fourier-feature-maps-for-operator-valued-kernels-and-vector-valued-learning-1608.05639</loc><lastmod>2016-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/operator-valued-bochner-theorem-fourier-feature-maps-for-operator-valued-kernels-and-vector-valued-learning-1608.05639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/operator-valued-bochner-theorem-fourier-feature-maps-for-operator-valued-kernels-and-vector-valued-learning-1608.05639"/></url>
<url><loc>https://scifaro.com/en/abs/retain-an-interpretable-predictive-model-for-healthcare-using-reverse-time-attention-mechanism-1608.05745</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/retain-an-interpretable-predictive-model-for-healthcare-using-reverse-time-attention-mechanism-1608.05745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/retain-an-interpretable-predictive-model-for-healthcare-using-reverse-time-attention-mechanism-1608.05745"/></url>
<url><loc>https://scifaro.com/en/abs/solving-a-mixture-of-many-random-linear-equations-by-tensor-decomposition-and-alternating-minimization-1608.05749</loc><lastmod>2016-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-a-mixture-of-many-random-linear-equations-by-tensor-decomposition-and-alternating-minimization-1608.05749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-a-mixture-of-many-random-linear-equations-by-tensor-decomposition-and-alternating-minimization-1608.05749"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-representations-for-biological-sequence-analysis-1608.05949</loc><lastmod>2016-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-representations-for-biological-sequence-analysis-1608.05949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-representations-for-biological-sequence-analysis-1608.05949"/></url>
<url><loc>https://scifaro.com/en/abs/inverting-variational-autoencoders-for-improved-generative-accuracy-1608.05983</loc><lastmod>2017-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverting-variational-autoencoders-for-improved-generative-accuracy-1608.05983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverting-variational-autoencoders-for-improved-generative-accuracy-1608.05983"/></url>
<url><loc>https://scifaro.com/en/abs/feedback-controlled-sequential-lasso-screening-1608.06010</loc><lastmod>2016-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feedback-controlled-sequential-lasso-screening-1608.06010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feedback-controlled-sequential-lasso-screening-1608.06010"/></url>
<url><loc>https://scifaro.com/en/abs/the-symmetry-of-a-simple-optimization-problem-in-lasso-screening-1608.06014</loc><lastmod>2016-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-symmetry-of-a-simple-optimization-problem-in-lasso-screening-1608.06014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-symmetry-of-a-simple-optimization-problem-in-lasso-screening-1608.06014"/></url>
<url><loc>https://scifaro.com/en/abs/surprisal-driven-feedback-in-recurrent-networks-1608.06027</loc><lastmod>2016-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surprisal-driven-feedback-in-recurrent-networks-1608.06027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surprisal-driven-feedback-in-recurrent-networks-1608.06027"/></url>
<url><loc>https://scifaro.com/en/abs/towards-instance-optimal-bounds-for-best-arm-identification-1608.06031</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-instance-optimal-bounds-for-best-arm-identification-1608.06031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-instance-optimal-bounds-for-best-arm-identification-1608.06031"/></url>
<url><loc>https://scifaro.com/en/abs/local-binary-convolutional-neural-networks-1608.06049</loc><lastmod>2017-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-binary-convolutional-neural-networks-1608.06049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-binary-convolutional-neural-networks-1608.06049"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-generalization-concentration-and-adaptive-learning-1608.06072</loc><lastmod>2016-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-generalization-concentration-and-adaptive-learning-1608.06072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-generalization-concentration-and-adaptive-learning-1608.06072"/></url>
<url><loc>https://scifaro.com/en/abs/multi-sensor-prognostics-using-an-unsupervised-health-index-based-on-lstm-encoder-decoder-1608.06154</loc><lastmod>2016-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-sensor-prognostics-using-an-unsupervised-health-index-based-on-lstm-encoder-decoder-1608.06154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-sensor-prognostics-using-an-unsupervised-health-index-based-on-lstm-encoder-decoder-1608.06154"/></url>
<url><loc>https://scifaro.com/en/abs/computational-and-statistical-tradeoffs-in-learning-to-rank-1608.06203</loc><lastmod>2016-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-and-statistical-tradeoffs-in-learning-to-rank-1608.06203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-and-statistical-tradeoffs-in-learning-to-rank-1608.06203"/></url>
<url><loc>https://scifaro.com/en/abs/lfads-latent-factor-analysis-via-dynamical-systems-1608.06315</loc><lastmod>2016-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lfads-latent-factor-analysis-via-dynamical-systems-1608.06315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lfads-latent-factor-analysis-via-dynamical-systems-1608.06315"/></url>
<url><loc>https://scifaro.com/en/abs/deep-double-sparsity-encoder-learning-to-sparsify-not-only-features-but-also-parameters-1608.06374</loc><lastmod>2016-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-double-sparsity-encoder-learning-to-sparsify-not-only-features-but-also-parameters-1608.06374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-double-sparsity-encoder-learning-to-sparsify-not-only-features-but-also-parameters-1608.06374"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-to-rank-with-top-k-feedback-1608.06408</loc><lastmod>2016-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-to-rank-with-top-k-feedback-1608.06408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-to-rank-with-top-k-feedback-1608.06408"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-communicate-channel-auto-encoders-domain-specific-regularizers-and-attention-1608.06409</loc><lastmod>2016-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-communicate-channel-auto-encoders-domain-specific-regularizers-and-attention-1608.06409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-communicate-channel-auto-encoders-domain-specific-regularizers-and-attention-1608.06409"/></url>
<url><loc>https://scifaro.com/en/abs/fathom-reference-workloads-for-modern-deep-learning-methods-1608.06581</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fathom-reference-workloads-for-modern-deep-learning-methods-1608.06581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fathom-reference-workloads-for-modern-deep-learning-methods-1608.06581"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-label-learning-with-semantic-output-codes-1608.06608</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-label-learning-with-semantic-output-codes-1608.06608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-label-learning-with-semantic-output-codes-1608.06608"/></url>
<url><loc>https://scifaro.com/en/abs/topic-grids-for-homogeneous-data-visualization-1608.06664</loc><lastmod>2016-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topic-grids-for-homogeneous-data-visualization-1608.06664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topic-grids-for-homogeneous-data-visualization-1608.06664"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-training-for-positive-unlabeled-learning-1608.06807</loc><lastmod>2018-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-training-for-positive-unlabeled-learning-1608.06807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-training-for-positive-unlabeled-learning-1608.06807"/></url>
<url><loc>https://scifaro.com/en/abs/learning-an-optimization-algorithm-through-human-design-iterations-1608.06984</loc><lastmod>2017-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-an-optimization-algorithm-through-human-design-iterations-1608.06984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-an-optimization-algorithm-through-human-design-iterations-1608.06984"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-among-dimensionality-reduction-techniques-based-on-random-projection-for-cancer-classification-1608.07019</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-among-dimensionality-reduction-techniques-based-on-random-projection-for-cancer-classification-1608.07019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-among-dimensionality-reduction-techniques-based-on-random-projection-for-cancer-classification-1608.07019"/></url>
<url><loc>https://scifaro.com/en/abs/learning-points-and-routes-to-recommend-trajectories-1608.07051</loc><lastmod>2016-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-points-and-routes-to-recommend-trajectories-1608.07051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-points-and-routes-to-recommend-trajectories-1608.07051"/></url>
<url><loc>https://scifaro.com/en/abs/active-robust-learning-1608.07159</loc><lastmod>2016-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-robust-learning-1608.07159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-robust-learning-1608.07159"/></url>
<url><loc>https://scifaro.com/en/abs/minimizing-quadratic-functions-in-constant-time-1608.07179</loc><lastmod>2016-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimizing-quadratic-functions-in-constant-time-1608.07179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimizing-quadratic-functions-in-constant-time-1608.07179"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-collaborative-imaging-genetics-studies-of-risk-genetic-factors-for-alzheimer-s-disease-across-multiple-institutions-1608.07251</loc><lastmod>2016-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-collaborative-imaging-genetics-studies-of-risk-genetic-factors-for-alzheimer-s-disease-across-multiple-institutions-1608.07251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-collaborative-imaging-genetics-studies-of-risk-genetic-factors-for-alzheimer-s-disease-across-multiple-institutions-1608.07251"/></url>
<url><loc>https://scifaro.com/en/abs/fundamental-limits-of-budget-fidelity-trade-off-in-label-crowdsourcing-1608.07328</loc><lastmod>2016-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fundamental-limits-of-budget-fidelity-trade-off-in-label-crowdsourcing-1608.07328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fundamental-limits-of-budget-fidelity-trade-off-in-label-crowdsourcing-1608.07328"/></url>
<url><loc>https://scifaro.com/en/abs/hard-negative-mining-for-metric-learning-based-zero-shot-classification-1608.07441</loc><lastmod>2016-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hard-negative-mining-for-metric-learning-based-zero-shot-classification-1608.07441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hard-negative-mining-for-metric-learning-based-zero-shot-classification-1608.07441"/></url>
<url><loc>https://scifaro.com/en/abs/entity-embedding-based-anomaly-detection-for-heterogeneous-categorical-events-1608.07502</loc><lastmod>2016-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entity-embedding-based-anomaly-detection-for-heterogeneous-categorical-events-1608.07502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entity-embedding-based-anomaly-detection-for-heterogeneous-categorical-events-1608.07502"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-over-intact-priors-for-boosting-control-and-dexterity-of-prosthetic-hands-by-amputees-1608.07536</loc><lastmod>2016-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-over-intact-priors-for-boosting-control-and-dexterity-of-prosthetic-hands-by-amputees-1608.07536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-over-intact-priors-for-boosting-control-and-dexterity-of-prosthetic-hands-by-amputees-1608.07536"/></url>
<url><loc>https://scifaro.com/en/abs/interacting-with-massive-behavioral-data-1608.07619</loc><lastmod>2016-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interacting-with-massive-behavioral-data-1608.07619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interacting-with-massive-behavioral-data-1608.07619"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-behavioral-analytics-via-topical-interaction-1608.07625</loc><lastmod>2016-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-behavioral-analytics-via-topical-interaction-1608.07625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-behavioral-analytics-via-topical-interaction-1608.07625"/></url>
<url><loc>https://scifaro.com/en/abs/learning-temporal-dependence-from-time-series-data-with-latent-variables-1608.07636</loc><lastmod>2016-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-temporal-dependence-from-time-series-data-with-latent-variables-1608.07636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-temporal-dependence-from-time-series-data-with-latent-variables-1608.07636"/></url>
<url><loc>https://scifaro.com/en/abs/ksr-a-semantic-representation-of-knowledge-graph-within-a-novel-unsupervised-paradigm-1608.07685</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ksr-a-semantic-representation-of-knowledge-graph-within-a-novel-unsupervised-paradigm-1608.07685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ksr-a-semantic-representation-of-knowledge-graph-within-a-novel-unsupervised-paradigm-1608.07685"/></url>
<url><loc>https://scifaro.com/en/abs/a-boundary-tilting-persepective-on-the-phenomenon-of-adversarial-examples-1608.07690</loc><lastmod>2016-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-boundary-tilting-persepective-on-the-phenomenon-of-adversarial-examples-1608.07690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-boundary-tilting-persepective-on-the-phenomenon-of-adversarial-examples-1608.07690"/></url>
<url><loc>https://scifaro.com/en/abs/random-forest-for-label-ranking-1608.07710</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-forest-for-label-ranking-1608.07710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-forest-for-label-ranking-1608.07710"/></url>
<url><loc>https://scifaro.com/en/abs/temperature-based-deep-boltzmann-machines-1608.07719</loc><lastmod>2016-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temperature-based-deep-boltzmann-machines-1608.07719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temperature-based-deep-boltzmann-machines-1608.07719"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-selection-for-the-l2-potts-model-regularization-parameter-1d-piecewise-constant-signal-denoising-1608.07739</loc><lastmod>2017-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-selection-for-the-l2-potts-model-regularization-parameter-1d-piecewise-constant-signal-denoising-1608.07739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-selection-for-the-l2-potts-model-regularization-parameter-1d-piecewise-constant-signal-denoising-1608.07739"/></url>
<url><loc>https://scifaro.com/en/abs/online-monotone-optimization-1608.07888</loc><lastmod>2016-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-monotone-optimization-1608.07888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-monotone-optimization-1608.07888"/></url>
<url><loc>https://scifaro.com/en/abs/human-algorithm-interaction-biases-in-the-big-data-cycle-a-markov-chain-iterated-learning-framework-1608.07895</loc><lastmod>2016-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-algorithm-interaction-biases-in-the-big-data-cycle-a-markov-chain-iterated-learning-framework-1608.07895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-algorithm-interaction-biases-in-the-big-data-cycle-a-markov-chain-iterated-learning-framework-1608.07895"/></url>
<url><loc>https://scifaro.com/en/abs/relevant-based-structure-learning-for-feature-selection-1608.07934</loc><lastmod>2016-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relevant-based-structure-learning-for-feature-selection-1608.07934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relevant-based-structure-learning-for-feature-selection-1608.07934"/></url>
<url><loc>https://scifaro.com/en/abs/data-poisoning-attacks-on-factorization-based-collaborative-filtering-1608.08182</loc><lastmod>2016-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-poisoning-attacks-on-factorization-based-collaborative-filtering-1608.08182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-poisoning-attacks-on-factorization-based-collaborative-filtering-1608.08182"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-and-understanding-sum-product-networks-1608.08266</loc><lastmod>2018-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-and-understanding-sum-product-networks-1608.08266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-and-understanding-sum-product-networks-1608.08266"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-classification-method-based-on-extreme-learning-machines-1608.08435</loc><lastmod>2016-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-classification-method-based-on-extreme-learning-machines-1608.08435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-classification-method-based-on-extreme-learning-machines-1608.08435"/></url>
<url><loc>https://scifaro.com/en/abs/applying-naive-bayes-classification-to-google-play-apps-categorization-1608.08574</loc><lastmod>2016-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-naive-bayes-classification-to-google-play-apps-categorization-1608.08574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-naive-bayes-classification-to-google-play-apps-categorization-1608.08574"/></url>
<url><loc>https://scifaro.com/en/abs/hi-rf-incremental-learning-random-forest-for-large-scale-multi-class-data-classification-1608.08761</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hi-rf-incremental-learning-random-forest-for-large-scale-multi-class-data-classification-1608.08761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hi-rf-incremental-learning-random-forest-for-large-scale-multi-class-data-classification-1608.08761"/></url>
<url><loc>https://scifaro.com/en/abs/a-high-speed-multi-label-classifier-based-on-extreme-learning-machines-1608.08898</loc><lastmod>2016-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-high-speed-multi-label-classifier-based-on-extreme-learning-machines-1608.08898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-high-speed-multi-label-classifier-based-on-extreme-learning-machines-1608.08898"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-online-real-time-classifier-for-multi-label-data-streams-1608.08905</loc><lastmod>2016-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-online-real-time-classifier-for-multi-label-data-streams-1608.08905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-online-real-time-classifier-for-multi-label-data-streams-1608.08905"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-of-classifiers-from-adversarial-to-random-noise-1608.08967</loc><lastmod>2016-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-of-classifiers-from-adversarial-to-random-noise-1608.08967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-of-classifiers-from-adversarial-to-random-noise-1608.08967"/></url>
<url><loc>https://scifaro.com/en/abs/a-tutorial-on-online-supervised-learning-with-applications-to-node-classification-in-social-networks-1608.09014</loc><lastmod>2016-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-online-supervised-learning-with-applications-to-node-classification-in-social-networks-1608.09014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-online-supervised-learning-with-applications-to-node-classification-in-social-networks-1608.09014"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-progressive-learning-technique-for-multi-class-classification-1609.00085</loc><lastmod>2017-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-progressive-learning-technique-for-multi-class-classification-1609.00085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-progressive-learning-technique-for-multi-class-classification-1609.00085"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-online-multi-label-classifier-for-high-speed-streaming-data-applications-1609.00086</loc><lastmod>2016-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-online-multi-label-classifier-for-high-speed-streaming-data-applications-1609.00086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-online-multi-label-classifier-for-high-speed-streaming-data-applications-1609.00086"/></url>
<url><loc>https://scifaro.com/en/abs/reward-augmented-maximum-likelihood-for-neural-structured-prediction-1609.00150</loc><lastmod>2017-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reward-augmented-maximum-likelihood-for-neural-structured-prediction-1609.00150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reward-augmented-maximum-likelihood-for-neural-structured-prediction-1609.00150"/></url>
<url><loc>https://scifaro.com/en/abs/employing-traditional-machine-learning-algorithms-for-big-data-streams-analysis-the-case-of-object-trajectory-prediction-1609.00203</loc><lastmod>2016-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/employing-traditional-machine-learning-algorithms-for-big-data-streams-analysis-the-case-of-object-trajectory-prediction-1609.00203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/employing-traditional-machine-learning-algorithms-for-big-data-streams-analysis-the-case-of-object-trajectory-prediction-1609.00203"/></url>
<url><loc>https://scifaro.com/en/abs/ternary-neural-networks-for-resource-efficient-ai-applications-1609.00222</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ternary-neural-networks-for-resource-efficient-ai-applications-1609.00222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ternary-neural-networks-for-resource-efficient-ai-applications-1609.00222"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-view-of-multi-label-performance-measures-1609.00288</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-view-of-multi-label-performance-measures-1609.00288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-view-of-multi-label-performance-measures-1609.00288"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-stochastic-large-scale-kernel-learning-with-the-empirical-kernel-map-1609.00585</loc><lastmod>2016-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-stochastic-large-scale-kernel-learning-with-the-empirical-kernel-map-1609.00585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-stochastic-large-scale-kernel-learning-with-the-empirical-kernel-map-1609.00585"/></url>
<url><loc>https://scifaro.com/en/abs/single-photon-in-hierarchical-architecture-for-physical-reinforcement-learning-photon-intelligence-1609.00686</loc><lastmod>2016-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-photon-in-hierarchical-architecture-for-physical-reinforcement-learning-photon-intelligence-1609.00686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-photon-in-hierarchical-architecture-for-physical-reinforcement-learning-photon-intelligence-1609.00686"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-prediction-games-for-adversarial-machine-learning-1609.00804</loc><lastmod>2016-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-prediction-games-for-adversarial-machine-learning-1609.00804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-prediction-games-for-adversarial-machine-learning-1609.00804"/></url>
<url><loc>https://scifaro.com/en/abs/an-online-universal-classifier-for-binary-multi-class-and-multi-label-classification-1609.00843</loc><lastmod>2016-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-online-universal-classifier-for-binary-multi-class-and-multi-label-classification-1609.00843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-online-universal-classifier-for-binary-multi-class-and-multi-label-classification-1609.00843"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-learning-of-dynamic-systems-from-nonequilibrium-data-1609.00932</loc><lastmod>2017-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-learning-of-dynamic-systems-from-nonequilibrium-data-1609.00932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-learning-of-dynamic-systems-from-nonequilibrium-data-1609.00932"/></url>
<url><loc>https://scifaro.com/en/abs/convexified-convolutional-neural-networks-1609.01000</loc><lastmod>2016-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convexified-convolutional-neural-networks-1609.01000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convexified-convolutional-neural-networks-1609.01000"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-specific-hardness-of-learning-neural-networks-1609.01037</loc><lastmod>2017-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-specific-hardness-of-learning-neural-networks-1609.01037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-specific-hardness-of-learning-neural-networks-1609.01037"/></url>
<url><loc>https://scifaro.com/en/abs/the-player-kernel-learning-team-strengths-based-on-implicit-player-contributions-1609.01176</loc><lastmod>2016-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-player-kernel-learning-team-strengths-based-on-implicit-player-contributions-1609.01176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-player-kernel-learning-team-strengths-based-on-implicit-player-contributions-1609.01176"/></url>
<url><loc>https://scifaro.com/en/abs/live-orchestral-piano-a-system-for-real-time-orchestral-music-generation-1609.01203</loc><lastmod>2017-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/live-orchestral-piano-a-system-for-real-time-orchestral-music-generation-1609.01203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/live-orchestral-piano-a-system-for-real-time-orchestral-music-generation-1609.01203"/></url>
<url><loc>https://scifaro.com/en/abs/the-robustness-of-estimator-composition-1609.01226</loc><lastmod>2016-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-robustness-of-estimator-composition-1609.01226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-robustness-of-estimator-composition-1609.01226"/></url>
<url><loc>https://scifaro.com/en/abs/evolutionary-synthesis-of-deep-neural-networks-via-synaptic-cluster-driven-genetic-encoding-1609.01360</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolutionary-synthesis-of-deep-neural-networks-via-synaptic-cluster-driven-genetic-encoding-1609.01360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolutionary-synthesis-of-deep-neural-networks-via-synaptic-cluster-driven-genetic-encoding-1609.01360"/></url>
<url><loc>https://scifaro.com/en/abs/q-learning-with-basic-emotions-1609.01468</loc><lastmod>2016-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/q-learning-with-basic-emotions-1609.01468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/q-learning-with-basic-emotions-1609.01468"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-bandits-with-latent-mixtures-1609.01508</loc><lastmod>2016-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-bandits-with-latent-mixtures-1609.01508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-bandits-with-latent-mixtures-1609.01508"/></url>
<url><loc>https://scifaro.com/en/abs/a-bootstrap-machine-learning-approach-to-identify-rare-disease-patients-from-electronic-health-records-1609.01586</loc><lastmod>2016-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bootstrap-machine-learning-approach-to-identify-rare-disease-patients-from-electronic-health-records-1609.01586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bootstrap-machine-learning-approach-to-identify-rare-disease-patients-from-electronic-health-records-1609.01586"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-multiscale-recurrent-neural-networks-1609.01704</loc><lastmod>2017-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-multiscale-recurrent-neural-networks-1609.01704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-multiscale-recurrent-neural-networks-1609.01704"/></url>
<url><loc>https://scifaro.com/en/abs/semantic-video-trailers-1609.01819</loc><lastmod>2016-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantic-video-trailers-1609.01819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantic-video-trailers-1609.01819"/></url>
<url><loc>https://scifaro.com/en/abs/learning-boltzmann-machine-with-em-like-method-1609.01840</loc><lastmod>2016-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-boltzmann-machine-with-em-like-method-1609.01840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-boltzmann-machine-with-em-like-method-1609.01840"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-stochastic-neighbor-embedding-on-spheres-1609.01977</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-stochastic-neighbor-embedding-on-spheres-1609.01977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-stochastic-neighbor-embedding-on-spheres-1609.01977"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-uncertainty-decoding-scheme-with-weighted-samples-for-dnn-hmm-hybrid-systems-1609.02082</loc><lastmod>2016-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-uncertainty-decoding-scheme-with-weighted-samples-for-dnn-hmm-hybrid-systems-1609.02082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-uncertainty-decoding-scheme-with-weighted-samples-for-dnn-hmm-hybrid-systems-1609.02082"/></url>
<url><loc>https://scifaro.com/en/abs/improved-optimistic-mirror-descent-for-sparsity-and-curvature-1609.02383</loc><lastmod>2016-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-optimistic-mirror-descent-for-sparsity-and-curvature-1609.02383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-optimistic-mirror-descent-for-sparsity-and-curvature-1609.02383"/></url>
<url><loc>https://scifaro.com/en/abs/functorial-hierarchical-clustering-with-overlaps-1609.02513</loc><lastmod>2018-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functorial-hierarchical-clustering-with-overlaps-1609.02513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functorial-hierarchical-clustering-with-overlaps-1609.02513"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-with-guarantees-using-descriptive-complexity-and-smt-solvers-1609.02664</loc><lastmod>2016-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-with-guarantees-using-descriptive-complexity-and-smt-solvers-1609.02664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-with-guarantees-using-descriptive-complexity-and-smt-solvers-1609.02664"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-future-relevance-of-research-institutions-the-winning-solution-of-the-kdd-cup-2016-1609.02728</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-future-relevance-of-research-institutions-the-winning-solution-of-the-kdd-cup-2016-1609.02728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-future-relevance-of-research-institutions-the-winning-solution-of-the-kdd-cup-2016-1609.02728"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-classification-with-graph-convolutional-networks-1609.02907</loc><lastmod>2017-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-classification-with-graph-convolutional-networks-1609.02907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-classification-with-graph-convolutional-networks-1609.02907"/></url>
<url><loc>https://scifaro.com/en/abs/new-steps-on-the-exact-learning-of-cnf-1609.03054</loc><lastmod>2016-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-steps-on-the-exact-learning-of-cnf-1609.03054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-steps-on-the-exact-learning-of-cnf-1609.03054"/></url>
<url><loc>https://scifaro.com/en/abs/energy-based-generative-adversarial-network-1609.03126</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-based-generative-adversarial-network-1609.03126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-based-generative-adversarial-network-1609.03126"/></url>
<url><loc>https://scifaro.com/en/abs/wav2letter-an-end-to-end-convnet-based-speech-recognition-system-1609.03193</loc><lastmod>2016-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wav2letter-an-end-to-end-convnet-based-speech-recognition-system-1609.03193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wav2letter-an-end-to-end-convnet-based-speech-recognition-system-1609.03193"/></url>
<url><loc>https://scifaro.com/en/abs/compadagrad-a-compressed-complementary-computationally-efficient-adaptive-gradient-method-1609.03319</loc><lastmod>2016-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compadagrad-a-compressed-complementary-computationally-efficient-adaptive-gradient-method-1609.03319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compadagrad-a-compressed-complementary-computationally-efficient-adaptive-gradient-method-1609.03319"/></url>
<url><loc>https://scifaro.com/en/abs/stride-length-estimation-with-deep-learning-1609.03321</loc><lastmod>2017-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stride-length-estimation-with-deep-learning-1609.03321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stride-length-estimation-with-deep-learning-1609.03321"/></url>
<url><loc>https://scifaro.com/en/abs/sensor-based-gait-parameter-extraction-with-deep-convolutional-neural-networks-1609.03323</loc><lastmod>2017-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensor-based-gait-parameter-extraction-with-deep-convolutional-neural-networks-1609.03323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensor-based-gait-parameter-extraction-with-deep-convolutional-neural-networks-1609.03323"/></url>
<url><loc>https://scifaro.com/en/abs/a-threshold-based-scheme-for-reinforcement-learning-in-neural-networks-1609.03348</loc><lastmod>2017-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-threshold-based-scheme-for-reinforcement-learning-in-neural-networks-1609.03348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-threshold-based-scheme-for-reinforcement-learning-in-neural-networks-1609.03348"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-learning-with-provable-guarantee-1609.03426</loc><lastmod>2016-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-learning-with-provable-guarantee-1609.03426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-learning-with-provable-guarantee-1609.03426"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-graphs-under-smoothness-prior-1609.03448</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-graphs-under-smoothness-prior-1609.03448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-graphs-under-smoothness-prior-1609.03448"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-string-kernel-for-cross-context-dna-protein-binding-prediction-1609.03490</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-string-kernel-for-cross-context-dna-protein-binding-prediction-1609.03490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-string-kernel-for-cross-context-dna-protein-binding-prediction-1609.03490"/></url>
<url><loc>https://scifaro.com/en/abs/a-greedy-algorithm-to-cluster-specialists-1609.03666</loc><lastmod>2016-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-greedy-algorithm-to-cluster-specialists-1609.03666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-greedy-algorithm-to-cluster-specialists-1609.03666"/></url>
<url><loc>https://scifaro.com/en/abs/deep-coevolutionary-network-embedding-user-and-item-features-for-recommendation-1609.03675</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-coevolutionary-network-embedding-user-and-item-features-for-recommendation-1609.03675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-coevolutionary-network-embedding-user-and-item-features-for-recommendation-1609.03675"/></url>
<url><loc>https://scifaro.com/en/abs/character-level-language-modeling-with-hierarchical-recurrent-neural-networks-1609.03777</loc><lastmod>2017-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/character-level-language-modeling-with-hierarchical-recurrent-neural-networks-1609.03777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/character-level-language-modeling-with-hierarchical-recurrent-neural-networks-1609.03777"/></url>
<url><loc>https://scifaro.com/en/abs/tracking-tensor-subspaces-with-informative-random-sampling-for-real-time-mr-imaging-1609.04104</loc><lastmod>2016-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tracking-tensor-subspaces-with-informative-random-sampling-for-real-time-mr-imaging-1609.04104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tracking-tensor-subspaces-with-informative-random-sampling-for-real-time-mr-imaging-1609.04104"/></url>
<url><loc>https://scifaro.com/en/abs/formalizing-neurath-s-ship-approximate-algorithms-for-online-causal-learning-1609.04212</loc><lastmod>2017-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/formalizing-neurath-s-ship-approximate-algorithms-for-online-causal-learning-1609.04212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/formalizing-neurath-s-ship-approximate-algorithms-for-online-causal-learning-1609.04212"/></url>
<url><loc>https://scifaro.com/en/abs/very-simple-classifier-a-concept-binary-classifier-toinvestigate-features-based-on-subsampling-and-localility-1609.04321</loc><lastmod>2016-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/very-simple-classifier-a-concept-binary-classifier-toinvestigate-features-based-on-subsampling-and-localility-1609.04321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/very-simple-classifier-a-concept-binary-classifier-toinvestigate-features-based-on-subsampling-and-localility-1609.04321"/></url>
<url><loc>https://scifaro.com/en/abs/tsallis-regularized-optimal-transport-and-ecological-inference-1609.04495</loc><lastmod>2016-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tsallis-regularized-optimal-transport-and-ecological-inference-1609.04495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tsallis-regularized-optimal-transport-and-ecological-inference-1609.04495"/></url>
<url><loc>https://scifaro.com/en/abs/column-networks-for-collective-classification-1609.04508</loc><lastmod>2016-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/column-networks-for-collective-classification-1609.04508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/column-networks-for-collective-classification-1609.04508"/></url>
<url><loc>https://scifaro.com/en/abs/structured-dropout-for-weak-label-and-multi-instance-learning-and-its-application-to-score-informed-source-separation-1609.04557</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-dropout-for-weak-label-and-multi-instance-learning-and-its-application-to-score-informed-source-separation-1609.04557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-dropout-for-weak-label-and-multi-instance-learning-and-its-application-to-score-informed-source-separation-1609.04557"/></url>
<url><loc>https://scifaro.com/en/abs/an-overview-of-gradient-descent-optimization-algorithms-1609.04747</loc><lastmod>2017-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-overview-of-gradient-descent-optimization-algorithms-1609.04747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-overview-of-gradient-descent-optimization-algorithms-1609.04747"/></url>
<url><loc>https://scifaro.com/en/abs/coherence-pursuit-fast-simple-and-robust-principal-component-analysis-1609.04789</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coherence-pursuit-fast-simple-and-robust-principal-component-analysis-1609.04789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coherence-pursuit-fast-simple-and-robust-principal-component-analysis-1609.04789"/></url>
<url><loc>https://scifaro.com/en/abs/on-large-batch-training-for-deep-learning-generalization-gap-and-sharp-minima-1609.04836</loc><lastmod>2017-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-large-batch-training-for-deep-learning-generalization-gap-and-sharp-minima-1609.04836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-large-batch-training-for-deep-learning-generalization-gap-and-sharp-minima-1609.04836"/></url>
<url><loc>https://scifaro.com/en/abs/exploration-potential-1609.04994</loc><lastmod>2016-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploration-potential-1609.04994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploration-potential-1609.04994"/></url>
<url><loc>https://scifaro.com/en/abs/learning-opposites-using-neural-networks-1609.05123</loc><lastmod>2016-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-opposites-using-neural-networks-1609.05123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-opposites-using-neural-networks-1609.05123"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-learns-linear-dynamical-systems-1609.05191</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-learns-linear-dynamical-systems-1609.05191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-learns-linear-dynamical-systems-1609.05191"/></url>
<url><loc>https://scifaro.com/en/abs/reasonet-learning-to-stop-reading-in-machine-comprehension-1609.05284</loc><lastmod>2017-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reasonet-learning-to-stop-reading-in-machine-comprehension-1609.05284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reasonet-learning-to-stop-reading-in-machine-comprehension-1609.05284"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-boltzmann-machines-with-structure-learning-as-applied-to-text-analysis-1609.05294</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-boltzmann-machines-with-structure-learning-as-applied-to-text-analysis-1609.05294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-boltzmann-machines-with-structure-learning-as-applied-to-text-analysis-1609.05294"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-of-combinatorial-objects-via-extended-formulation-1609.05374</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-of-combinatorial-objects-via-extended-formulation-1609.05374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-of-combinatorial-objects-via-extended-formulation-1609.05374"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-future-shanghai-stock-market-price-using-ann-in-the-period-21-sep-2016-to-11-oct-2016-1609.05394</loc><lastmod>2016-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-future-shanghai-stock-market-price-using-ann-in-the-period-21-sep-2016-to-11-oct-2016-1609.05394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-future-shanghai-stock-market-price-using-ann-in-the-period-21-sep-2016-to-11-oct-2016-1609.05394"/></url>
<url><loc>https://scifaro.com/en/abs/seqgan-sequence-generative-adversarial-nets-with-policy-gradient-1609.05473</loc><lastmod>2017-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seqgan-sequence-generative-adversarial-nets-with-policy-gradient-1609.05473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seqgan-sequence-generative-adversarial-nets-with-policy-gradient-1609.05473"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-feature-selection-and-classification-vector-machine-1609.05486</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-feature-selection-and-classification-vector-machine-1609.05486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-feature-selection-and-classification-vector-machine-1609.05486"/></url>
<url><loc>https://scifaro.com/en/abs/principled-option-learning-in-markov-decision-processes-1609.05524</loc><lastmod>2018-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principled-option-learning-in-markov-decision-processes-1609.05524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principled-option-learning-in-markov-decision-processes-1609.05524"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-ensemble-learning-for-outlier-detection-a-bias-variance-perspective-1609.05528</loc><lastmod>2016-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-ensemble-learning-for-outlier-detection-a-bias-variance-perspective-1609.05528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-ensemble-learning-for-outlier-detection-a-bias-variance-perspective-1609.05528"/></url>
<url><loc>https://scifaro.com/en/abs/learning-personalized-optimal-control-for-repeatedly-operated-systems-1609.05536</loc><lastmod>2016-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-personalized-optimal-control-for-repeatedly-operated-systems-1609.05536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-personalized-optimal-control-for-repeatedly-operated-systems-1609.05536"/></url>
<url><loc>https://scifaro.com/en/abs/opponent-modeling-in-deep-reinforcement-learning-1609.05559</loc><lastmod>2016-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opponent-modeling-in-deep-reinforcement-learning-1609.05559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opponent-modeling-in-deep-reinforcement-learning-1609.05559"/></url>
<url><loc>https://scifaro.com/en/abs/inherent-trade-offs-in-the-fair-determination-of-risk-scores-1609.05807</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inherent-trade-offs-in-the-fair-determination-of-risk-scores-1609.05807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inherent-trade-offs-in-the-fair-determination-of-risk-scores-1609.05807"/></url>
<url><loc>https://scifaro.com/en/abs/a-cheap-linear-attention-mechanism-with-fast-lookups-and-fixed-size-representations-1609.05866</loc><lastmod>2016-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-cheap-linear-attention-mechanism-with-fast-lookups-and-fixed-size-representations-1609.05866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-cheap-linear-attention-mechanism-with-fast-lookups-and-fixed-size-representations-1609.05866"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-adaptive-learning-of-graph-signals-1609.06100</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-adaptive-learning-of-graph-signals-1609.06100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-adaptive-learning-of-graph-signals-1609.06100"/></url>
<url><loc>https://scifaro.com/en/abs/fastbdt-a-speed-optimized-and-cache-friendly-implementation-of-stochastic-gradient-boosted-decision-trees-for-multivariate-classification-1609.06119</loc><lastmod>2016-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fastbdt-a-speed-optimized-and-cache-friendly-implementation-of-stochastic-gradient-boosted-decision-trees-for-multivariate-classification-1609.06119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fastbdt-a-speed-optimized-and-cache-friendly-implementation-of-stochastic-gradient-boosted-decision-trees-for-multivariate-classification-1609.06119"/></url>
<url><loc>https://scifaro.com/en/abs/mlr-tutorial-1609.06146</loc><lastmod>2016-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mlr-tutorial-1609.06146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mlr-tutorial-1609.06146"/></url>
<url><loc>https://scifaro.com/en/abs/geometry-based-next-frame-prediction-from-monocular-video-1609.06377</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometry-based-next-frame-prediction-from-monocular-video-1609.06377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometry-based-next-frame-prediction-from-monocular-video-1609.06377"/></url>
<url><loc>https://scifaro.com/en/abs/imbalanced-learn-a-python-toolbox-to-tackle-the-curse-of-imbalanced-datasets-in-machine-learning-1609.06570</loc><lastmod>2016-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imbalanced-learn-a-python-toolbox-to-tackle-the-curse-of-imbalanced-datasets-in-machine-learning-1609.06570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imbalanced-learn-a-python-toolbox-to-tackle-the-curse-of-imbalanced-datasets-in-machine-learning-1609.06570"/></url>
<url><loc>https://scifaro.com/en/abs/softtarget-regularization-an-effective-technique-to-reduce-over-fitting-in-neural-networks-1609.06693</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/softtarget-regularization-an-effective-technique-to-reduce-over-fitting-in-neural-networks-1609.06693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/softtarget-regularization-an-effective-technique-to-reduce-over-fitting-in-neural-networks-1609.06693"/></url>
<url><loc>https://scifaro.com/en/abs/decoupled-asynchronous-proximal-stochastic-gradient-descent-with-variance-reduction-1609.06804</loc><lastmod>2016-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupled-asynchronous-proximal-stochastic-gradient-descent-with-variance-reduction-1609.06804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupled-asynchronous-proximal-stochastic-gradient-descent-with-variance-reduction-1609.06804"/></url>
<url><loc>https://scifaro.com/en/abs/hawkes-processes-with-stochastic-excitations-1609.06831</loc><lastmod>2016-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hawkes-processes-with-stochastic-excitations-1609.06831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hawkes-processes-with-stochastic-excitations-1609.06831"/></url>
<url><loc>https://scifaro.com/en/abs/exact-sampling-from-determinantal-point-processes-1609.06840</loc><lastmod>2018-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-sampling-from-determinantal-point-processes-1609.06840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-sampling-from-determinantal-point-processes-1609.06840"/></url>
<url><loc>https://scifaro.com/en/abs/early-warning-system-for-seismic-events-in-coal-mines-using-machine-learning-1609.06957</loc><lastmod>2016-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-warning-system-for-seismic-events-in-coal-mines-using-machine-learning-1609.06957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-warning-system-for-seismic-events-in-coal-mines-using-machine-learning-1609.06957"/></url>
<url><loc>https://scifaro.com/en/abs/large-margin-nearest-neighbor-classification-using-curved-mahalanobis-distances-1609.07082</loc><lastmod>2016-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-margin-nearest-neighbor-classification-using-curved-mahalanobis-distances-1609.07082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-margin-nearest-neighbor-classification-using-curved-mahalanobis-distances-1609.07082"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-convex-optimization-with-biased-noisy-gradient-oracles-1609.07087</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-convex-optimization-with-biased-noisy-gradient-oracles-1609.07087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-convex-optimization-with-biased-noisy-gradient-oracles-1609.07087"/></url>
<url><loc>https://scifaro.com/en/abs/learning-modular-neural-network-policies-for-multi-task-and-multi-robot-transfer-1609.07088</loc><lastmod>2016-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-modular-neural-network-policies-for-multi-task-and-multi-robot-transfer-1609.07088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-modular-neural-network-policies-for-multi-task-and-multi-robot-transfer-1609.07088"/></url>
<url><loc>https://scifaro.com/en/abs/neural-photo-editing-with-introspective-adversarial-networks-1609.07093</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-photo-editing-with-introspective-adversarial-networks-1609.07093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-photo-editing-with-introspective-adversarial-networks-1609.07093"/></url>
<url><loc>https://scifaro.com/en/abs/a-fully-convolutional-neural-network-for-speech-enhancement-1609.07132</loc><lastmod>2016-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fully-convolutional-neural-network-for-speech-enhancement-1609.07132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fully-convolutional-neural-network-for-speech-enhancement-1609.07132"/></url>
<url><loc>https://scifaro.com/en/abs/input-convex-neural-networks-1609.07152</loc><lastmod>2017-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/input-convex-neural-networks-1609.07152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/input-convex-neural-networks-1609.07152"/></url>
<url><loc>https://scifaro.com/en/abs/multilayer-spectral-graph-clustering-via-convex-layer-aggregation-1609.07200</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilayer-spectral-graph-clustering-via-convex-layer-aggregation-1609.07200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilayer-spectral-graph-clustering-via-convex-layer-aggregation-1609.07200"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-progressive-multi-label-classifier-for-classincremental-data-1609.07215</loc><lastmod>2016-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-progressive-multi-label-classifier-for-classincremental-data-1609.07215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-progressive-multi-label-classifier-for-classincremental-data-1609.07215"/></url>
<url><loc>https://scifaro.com/en/abs/using-neural-network-formalism-to-solve-multiple-instance-problems-1609.07257</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-neural-network-formalism-to-solve-multiple-instance-problems-1609.07257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-neural-network-formalism-to-solve-multiple-instance-problems-1609.07257"/></url>
<url><loc>https://scifaro.com/en/abs/derivative-delay-embedding-online-modeling-of-streaming-time-series-1609.07540</loc><lastmod>2016-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/derivative-delay-embedding-online-modeling-of-streaming-time-series-1609.07540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/derivative-delay-embedding-online-modeling-of-streaming-time-series-1609.07540"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-methods-for-planning-and-learning-in-partially-observable-markov-decision-processes-1609.07672</loc><lastmod>2017-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-methods-for-planning-and-learning-in-partially-observable-markov-decision-processes-1609.07672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-methods-for-planning-and-learning-in-partially-observable-markov-decision-processes-1609.07672"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-with-expectation-linear-regularization-1609.08017</loc><lastmod>2017-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-with-expectation-linear-regularization-1609.08017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-with-expectation-linear-regularization-1609.08017"/></url>
<url><loc>https://scifaro.com/en/abs/nonnegative-autoencoder-with-simplified-random-neural-network-1609.08151</loc><lastmod>2016-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonnegative-autoencoder-with-simplified-random-neural-network-1609.08151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonnegative-autoencoder-with-simplified-random-neural-network-1609.08151"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-method-for-robust-projection-matrix-design-1609.08281</loc><lastmod>2017-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-method-for-robust-projection-matrix-design-1609.08281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-method-for-robust-projection-matrix-design-1609.08281"/></url>
<url><loc>https://scifaro.com/en/abs/online-unsupervised-multi-view-feature-selection-1609.08286</loc><lastmod>2016-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-unsupervised-multi-view-feature-selection-1609.08286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-unsupervised-multi-view-feature-selection-1609.08286"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-stochastic-gradient-descent-with-delay-compensation-1609.08326</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-stochastic-gradient-descent-with-delay-compensation-1609.08326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-stochastic-gradient-descent-with-delay-compensation-1609.08326"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-methods-for-prediction-with-sequential-data-1609.08349</loc><lastmod>2022-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-methods-for-prediction-with-sequential-data-1609.08349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-methods-for-prediction-with-sequential-data-1609.08349"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-stochastic-proximal-optimization-algorithms-with-variance-reduction-1609.08435</loc><lastmod>2016-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-stochastic-proximal-optimization-algorithms-with-variance-reduction-1609.08435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-stochastic-proximal-optimization-algorithms-with-variance-reduction-1609.08435"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-plda-training-1609.08441</loc><lastmod>2017-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-plda-training-1609.08441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-plda-training-1609.08441"/></url>
<url><loc>https://scifaro.com/en/abs/correct-classification-for-big-smart-fast-data-machine-learning-1609.08550</loc><lastmod>2016-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correct-classification-for-big-smart-fast-data-machine-learning-1609.08550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correct-classification-for-big-smart-fast-data-machine-learning-1609.08550"/></url>
<url><loc>https://scifaro.com/en/abs/memory-visualization-for-gated-recurrent-neural-networks-in-speech-recognition-1609.08789</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-visualization-for-gated-recurrent-neural-networks-in-speech-recognition-1609.08789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-visualization-for-gated-recurrent-neural-networks-in-speech-recognition-1609.08789"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-comparison-of-classifiers-through-bayesian-hierarchical-modelling-1609.08905</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-comparison-of-classifiers-through-bayesian-hierarchical-modelling-1609.08905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-comparison-of-classifiers-through-bayesian-hierarchical-modelling-1609.08905"/></url>
<url><loc>https://scifaro.com/en/abs/hypernetworks-1609.09106</loc><lastmod>2016-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypernetworks-1609.09106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypernetworks-1609.09106"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-massive-heterogeneous-temporal-spatial-data-with-3d-self-organizing-map-and-time-vector-1609.09116</loc><lastmod>2016-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-massive-heterogeneous-temporal-spatial-data-with-3d-self-organizing-map-and-time-vector-1609.09116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-massive-heterogeneous-temporal-spatial-data-with-3d-self-organizing-map-and-time-vector-1609.09116"/></url>
<url><loc>https://scifaro.com/en/abs/universum-learning-for-multiclass-svm-1609.09162</loc><lastmod>2016-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universum-learning-for-multiclass-svm-1609.09162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universum-learning-for-multiclass-svm-1609.09162"/></url>
<url><loc>https://scifaro.com/en/abs/opml-a-one-pass-closed-form-solution-for-online-metric-learning-1609.09178</loc><lastmod>2016-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opml-a-one-pass-closed-form-solution-for-online-metric-learning-1609.09178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opml-a-one-pass-closed-form-solution-for-online-metric-learning-1609.09178"/></url>
<url><loc>https://scifaro.com/en/abs/multi-model-data-mining-approach-for-heart-failure-prediction-1609.09194</loc><lastmod>2016-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-model-data-mining-approach-for-heart-failure-prediction-1609.09194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-model-data-mining-approach-for-heart-failure-prediction-1609.09194"/></url>
<url><loc>https://scifaro.com/en/abs/structure-aware-classification-using-supervised-dictionary-learning-1609.09199</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-aware-classification-using-supervised-dictionary-learning-1609.09199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-aware-classification-using-supervised-dictionary-learning-1609.09199"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multi-species-embedding-1609.09353</loc><lastmod>2017-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multi-species-embedding-1609.09353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multi-species-embedding-1609.09353"/></url>
<url><loc>https://scifaro.com/en/abs/classifier-comparison-using-precision-1609.09471</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifier-comparison-using-precision-1609.09471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifier-comparison-using-precision-1609.09471"/></url>
<url><loc>https://scifaro.com/en/abs/charged-point-normalization-an-efficient-solution-to-the-saddle-point-problem-1609.09522</loc><lastmod>2017-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/charged-point-normalization-an-efficient-solution-to-the-saddle-point-problem-1609.09522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/charged-point-normalization-an-efficient-solution-to-the-saddle-point-problem-1609.09522"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-for-item-categorization-based-on-ordinal-ranking-data-1609.09544</loc><lastmod>2016-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-item-categorization-based-on-ordinal-ranking-data-1609.09544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-item-categorization-based-on-ordinal-ranking-data-1609.09544"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-multi-task-learning-1609.09563</loc><lastmod>2016-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-multi-task-learning-1609.09563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-multi-task-learning-1609.09563"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-consequence-of-action-in-digital-control-state-spaces-1609.09681</loc><lastmod>2016-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-consequence-of-action-in-digital-control-state-spaces-1609.09681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-consequence-of-action-in-digital-control-state-spaces-1609.09681"/></url>
<url><loc>https://scifaro.com/en/abs/faster-kernels-for-graphs-with-continuous-attributes-via-hashing-1610.00064</loc><lastmod>2016-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-kernels-for-graphs-with-continuous-attributes-via-hashing-1610.00064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-kernels-for-graphs-with-continuous-attributes-via-hashing-1610.00064"/></url>
<url><loc>https://scifaro.com/en/abs/latent-tree-analysis-1610.00085</loc><lastmod>2016-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-tree-analysis-1610.00085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-tree-analysis-1610.00085"/></url>
<url><loc>https://scifaro.com/en/abs/deep-unsupervised-learning-through-spatial-contrasting-1610.00243</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-unsupervised-learning-through-spatial-contrasting-1610.00243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-unsupervised-learning-through-spatial-contrasting-1610.00243"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-deep-convolutional-networks-using-low-precision-and-sparsity-1610.00324</loc><lastmod>2016-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-deep-convolutional-networks-using-low-precision-and-sparsity-1610.00324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-deep-convolutional-networks-using-low-precision-and-sparsity-1610.00324"/></url>
<url><loc>https://scifaro.com/en/abs/can-evolutionary-sampling-improve-bagged-ensembles-1610.00465</loc><lastmod>2016-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-evolutionary-sampling-improve-bagged-ensembles-1610.00465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-evolutionary-sampling-improve-bagged-ensembles-1610.00465"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-radio-traffic-sequence-recognition-with-deep-recurrent-neural-networks-1610.00564</loc><lastmod>2016-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-radio-traffic-sequence-recognition-with-deep-recurrent-neural-networks-1610.00564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-radio-traffic-sequence-recognition-with-deep-recurrent-neural-networks-1610.00564"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-urban-traffic-anomalies-1610.00579</loc><lastmod>2016-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-urban-traffic-anomalies-1610.00579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-urban-traffic-anomalies-1610.00579"/></url>
<url><loc>https://scifaro.com/en/abs/flint-water-crisis-data-driven-risk-assessment-via-residential-water-testing-1610.00580</loc><lastmod>2016-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flint-water-crisis-data-driven-risk-assessment-via-residential-water-testing-1610.00580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flint-water-crisis-data-driven-risk-assessment-via-residential-water-testing-1610.00580"/></url>
<url><loc>https://scifaro.com/en/abs/collective-robot-reinforcement-learning-with-distributed-asynchronous-guided-policy-search-1610.00673</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collective-robot-reinforcement-learning-with-distributed-asynchronous-guided-policy-search-1610.00673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collective-robot-reinforcement-learning-with-distributed-asynchronous-guided-policy-search-1610.00673"/></url>
<url><loc>https://scifaro.com/en/abs/deep-visual-foresight-for-planning-robot-motion-1610.00696</loc><lastmod>2017-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-visual-foresight-for-planning-robot-motion-1610.00696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-visual-foresight-for-planning-robot-motion-1610.00696"/></url>
<url><loc>https://scifaro.com/en/abs/technical-report-on-the-cleverhans-v2-1-0-adversarial-examples-library-1610.00768</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/technical-report-on-the-cleverhans-v2-1-0-adversarial-examples-library-1610.00768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/technical-report-on-the-cleverhans-v2-1-0-adversarial-examples-library-1610.00768"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-maximum-entropy-classification-and-linear-regression-for-author-age-prediction-1610.00852</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-maximum-entropy-classification-and-linear-regression-for-author-age-prediction-1610.00852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-maximum-entropy-classification-and-linear-regression-for-author-age-prediction-1610.00852"/></url>
<url><loc>https://scifaro.com/en/abs/reset-free-guided-policy-search-efficient-deep-reinforcement-learning-with-stochastic-initial-states-1610.01112</loc><lastmod>2016-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reset-free-guided-policy-search-efficient-deep-reinforcement-learning-with-stochastic-initial-states-1610.01112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reset-free-guided-policy-search-efficient-deep-reinforcement-learning-with-stochastic-initial-states-1610.01112"/></url>
<url><loc>https://scifaro.com/en/abs/a-non-generative-framework-and-convex-relaxations-for-unsupervised-learning-1610.01132</loc><lastmod>2016-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-non-generative-framework-and-convex-relaxations-for-unsupervised-learning-1610.01132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-non-generative-framework-and-convex-relaxations-for-unsupervised-learning-1610.01132"/></url>
<url><loc>https://scifaro.com/en/abs/error-bounds-for-approximations-with-deep-relu-networks-1610.01145</loc><lastmod>2017-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-bounds-for-approximations-with-deep-relu-networks-1610.01145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-bounds-for-approximations-with-deep-relu-networks-1610.01145"/></url>
<url><loc>https://scifaro.com/en/abs/a-tour-of-tensorflow-1610.01178</loc><lastmod>2016-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tour-of-tensorflow-1610.01178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tour-of-tensorflow-1610.01178"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-multi-view-representation-learning-1610.01206</loc><lastmod>2018-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-multi-view-representation-learning-1610.01206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-multi-view-representation-learning-1610.01206"/></url>
<url><loc>https://scifaro.com/en/abs/adversary-resistant-deep-neural-networks-with-an-application-to-malware-detection-1610.01239</loc><lastmod>2017-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversary-resistant-deep-neural-networks-with-an-application-to-malware-detection-1610.01239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversary-resistant-deep-neural-networks-with-an-application-to-malware-detection-1610.01239"/></url>
<url><loc>https://scifaro.com/en/abs/epopt-learning-robust-neural-network-policies-using-model-ensembles-1610.01283</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/epopt-learning-robust-neural-network-policies-using-model-ensembles-1610.01283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/epopt-learning-robust-neural-network-policies-using-model-ensembles-1610.01283"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-inverse-classification-1610.01675</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-inverse-classification-1610.01675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-inverse-classification-1610.01675"/></url>
<url><loc>https://scifaro.com/en/abs/low-tubal-rank-tensor-completion-using-alternating-minimization-1610.01690</loc><lastmod>2016-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-tubal-rank-tensor-completion-using-alternating-minimization-1610.01690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-tubal-rank-tensor-completion-using-alternating-minimization-1610.01690"/></url>
<url><loc>https://scifaro.com/en/abs/a-methodology-for-customizing-clinical-tests-for-esophageal-cancer-based-on-patient-preferences-1610.01712</loc><lastmod>2016-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-methodology-for-customizing-clinical-tests-for-esophageal-cancer-based-on-patient-preferences-1610.01712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-methodology-for-customizing-clinical-tests-for-esophageal-cancer-based-on-patient-preferences-1610.01712"/></url>
<url><loc>https://scifaro.com/en/abs/combining-generative-and-discriminative-neural-networks-for-sleep-stages-classification-1610.01741</loc><lastmod>2016-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-generative-and-discriminative-neural-networks-for-sleep-stages-classification-1610.01741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-generative-and-discriminative-neural-networks-for-sleep-stages-classification-1610.01741"/></url>
<url><loc>https://scifaro.com/en/abs/ischemic-stroke-identification-based-on-eeg-and-eog-using-1d-convolutional-neural-network-and-batch-normalization-1610.01757</loc><lastmod>2016-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ischemic-stroke-identification-based-on-eeg-and-eog-using-1d-convolutional-neural-network-and-batch-normalization-1610.01757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ischemic-stroke-identification-based-on-eeg-and-eog-using-1d-convolutional-neural-network-and-batch-normalization-1610.01757"/></url>
<url><loc>https://scifaro.com/en/abs/using-non-invertible-data-transformations-to-build-adversarial-robust-neural-networks-1610.01934</loc><lastmod>2016-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-non-invertible-data-transformations-to-build-adversarial-robust-neural-networks-1610.01934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-non-invertible-data-transformations-to-build-adversarial-robust-neural-networks-1610.01934"/></url>
<url><loc>https://scifaro.com/en/abs/connecting-generative-adversarial-networks-and-actor-critic-methods-1610.01945</loc><lastmod>2017-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/connecting-generative-adversarial-networks-and-actor-critic-methods-1610.01945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/connecting-generative-adversarial-networks-and-actor-critic-methods-1610.01945"/></url>
<url><loc>https://scifaro.com/en/abs/active-exploration-in-parameterized-reinforcement-learning-1610.01986</loc><lastmod>2016-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-exploration-in-parameterized-reinforcement-learning-1610.01986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-exploration-in-parameterized-reinforcement-learning-1610.01986"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-dynamic-boltzmann-machine-with-delay-pruning-for-unsupervised-learning-of-temporal-sequences-1610.01989</loc><lastmod>2016-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-dynamic-boltzmann-machine-with-delay-pruning-for-unsupervised-learning-of-temporal-sequences-1610.01989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-dynamic-boltzmann-machine-with-delay-pruning-for-unsupervised-learning-of-temporal-sequences-1610.01989"/></url>
<url><loc>https://scifaro.com/en/abs/qsgd-communication-efficient-sgd-via-gradient-quantization-and-encoding-1610.02132</loc><lastmod>2017-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qsgd-communication-efficient-sgd-via-gradient-quantization-and-encoding-1610.02132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qsgd-communication-efficient-sgd-via-gradient-quantization-and-encoding-1610.02132"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-from-raw-pixels-in-doom-1610.02164</loc><lastmod>2016-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-from-raw-pixels-in-doom-1610.02164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-from-raw-pixels-in-doom-1610.02164"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-averaging-cnn-elm-for-big-data-1610.02373</loc><lastmod>2016-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-averaging-cnn-elm-for-big-data-1610.02373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-averaging-cnn-elm-for-big-data-1610.02373"/></url>
<url><loc>https://scifaro.com/en/abs/equality-of-opportunity-in-supervised-learning-1610.02413</loc><lastmod>2016-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equality-of-opportunity-in-supervised-learning-1610.02413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equality-of-opportunity-in-supervised-learning-1610.02413"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-chemical-design-using-a-data-driven-continuous-representation-of-molecules-1610.02415</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-chemical-design-using-a-data-driven-continuous-representation-of-molecules-1610.02415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-chemical-design-using-a-data-driven-continuous-representation-of-molecules-1610.02415"/></url>
<url><loc>https://scifaro.com/en/abs/boost-k-means-1610.02483</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boost-k-means-1610.02483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boost-k-means-1610.02483"/></url>
<url><loc>https://scifaro.com/en/abs/federated-optimization-distributed-machine-learning-for-on-device-intelligence-1610.02527</loc><lastmod>2016-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-optimization-distributed-machine-learning-for-on-device-intelligence-1610.02527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-optimization-distributed-machine-learning-for-on-device-intelligence-1610.02527"/></url>
<url><loc>https://scifaro.com/en/abs/a-gentle-tutorial-of-recurrent-neural-network-with-error-backpropagation-1610.02583</loc><lastmod>2018-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gentle-tutorial-of-recurrent-neural-network-with-error-backpropagation-1610.02583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gentle-tutorial-of-recurrent-neural-network-with-error-backpropagation-1610.02583"/></url>
<url><loc>https://scifaro.com/en/abs/heuristic-approaches-for-generating-local-process-models-through-log-projections-1610.02876</loc><lastmod>2017-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heuristic-approaches-for-generating-local-process-models-through-log-projections-1610.02876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heuristic-approaches-for-generating-local-process-models-through-log-projections-1610.02876"/></url>
<url><loc>https://scifaro.com/en/abs/extrapolation-and-learning-equations-1610.02995</loc><lastmod>2016-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extrapolation-and-learning-equations-1610.02995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extrapolation-and-learning-equations-1610.02995"/></url>
<url><loc>https://scifaro.com/en/abs/sketching-meets-random-projection-in-the-dual-a-provable-recovery-algorithm-for-big-and-high-dimensional-data-1610.03045</loc><lastmod>2016-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sketching-meets-random-projection-in-the-dual-a-provable-recovery-algorithm-for-big-and-high-dimensional-data-1610.03045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sketching-meets-random-projection-in-the-dual-a-provable-recovery-algorithm-for-big-and-high-dimensional-data-1610.03045"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-metric-learning-from-pairwise-comparisons-1610.03090</loc><lastmod>2016-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-metric-learning-from-pairwise-comparisons-1610.03090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-metric-learning-from-pairwise-comparisons-1610.03090"/></url>
<url><loc>https://scifaro.com/en/abs/context-aware-online-learning-for-course-recommendation-of-mooc-big-data-1610.03147</loc><lastmod>2016-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-aware-online-learning-for-course-recommendation-of-mooc-big-data-1610.03147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-aware-online-learning-for-course-recommendation-of-mooc-big-data-1610.03147"/></url>
<url><loc>https://scifaro.com/en/abs/deep-variational-canonical-correlation-analysis-1610.03454</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-variational-canonical-correlation-analysis-1610.03454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-variational-canonical-correlation-analysis-1610.03454"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-filter-learning-to-preserve-privacy-from-inference-attacks-1610.03577</loc><lastmod>2017-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-filter-learning-to-preserve-privacy-from-inference-attacks-1610.03577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-filter-learning-to-preserve-privacy-from-inference-attacks-1610.03577"/></url>
<url><loc>https://scifaro.com/en/abs/on-statistical-learning-via-the-lens-of-compression-1610.03592</loc><lastmod>2017-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-statistical-learning-via-the-lens-of-compression-1610.03592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-statistical-learning-via-the-lens-of-compression-1610.03592"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-entire-regularization-path-for-the-asymmetric-cost-linear-support-vector-machine-1610.03738</loc><lastmod>2016-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-entire-regularization-path-for-the-asymmetric-cost-linear-support-vector-machine-1610.03738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-entire-regularization-path-for-the-asymmetric-cost-linear-support-vector-machine-1610.03738"/></url>
<url><loc>https://scifaro.com/en/abs/introduction-to-the-industrial-benchmark-1610.03793</loc><lastmod>2017-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introduction-to-the-industrial-benchmark-1610.03793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introduction-to-the-industrial-benchmark-1610.03793"/></url>
<url><loc>https://scifaro.com/en/abs/bank-card-usage-prediction-exploiting-geolocation-information-1610.03996</loc><lastmod>2016-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bank-card-usage-prediction-exploiting-geolocation-information-1610.03996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bank-card-usage-prediction-exploiting-geolocation-information-1610.03996"/></url>
<url><loc>https://scifaro.com/en/abs/why-deep-neural-networks-for-function-approximation-1610.04161</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-deep-neural-networks-for-function-approximation-1610.04161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-deep-neural-networks-for-function-approximation-1610.04161"/></url>
<url><loc>https://scifaro.com/en/abs/tensorial-mixture-models-1610.04167</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensorial-mixture-models-1610.04167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensorial-mixture-models-1610.04167"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-alignment-inspired-linear-discriminant-analysis-1610.04576</loc><lastmod>2016-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-alignment-inspired-linear-discriminant-analysis-1610.04576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-alignment-inspired-linear-discriminant-analysis-1610.04576"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-threshold-machine-scan-statistics-change-point-detection-and-extreme-bandits-1610.04599</loc><lastmod>2016-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-threshold-machine-scan-statistics-change-point-detection-and-extreme-bandits-1610.04599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-threshold-machine-scan-statistics-change-point-detection-and-extreme-bandits-1610.04599"/></url>
<url><loc>https://scifaro.com/en/abs/a-closed-form-solution-to-multi-view-low-rank-regression-1610.04668</loc><lastmod>2016-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-closed-form-solution-to-multi-view-low-rank-regression-1610.04668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-closed-form-solution-to-multi-view-low-rank-regression-1610.04668"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-of-metric-classification-algorithms-for-sequences-classification-and-labelling-1610.04718</loc><lastmod>2016-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-of-metric-classification-algorithms-for-sequences-classification-and-labelling-1610.04718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-of-metric-classification-algorithms-for-sequences-classification-and-labelling-1610.04718"/></url>
<url><loc>https://scifaro.com/en/abs/similarity-learning-for-time-series-classification-1610.04783</loc><lastmod>2016-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/similarity-learning-for-time-series-classification-1610.04783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/similarity-learning-for-time-series-classification-1610.04783"/></url>
<url><loc>https://scifaro.com/en/abs/towards-k-means-friendly-spaces-simultaneous-deep-learning-and-clustering-1610.04794</loc><lastmod>2017-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-k-means-friendly-spaces-simultaneous-deep-learning-and-clustering-1610.04794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-k-means-friendly-spaces-simultaneous-deep-learning-and-clustering-1610.04794"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rate-of-stochastic-k-means-1610.04900</loc><lastmod>2016-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rate-of-stochastic-k-means-1610.04900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rate-of-stochastic-k-means-1610.04900"/></url>
<url><loc>https://scifaro.com/en/abs/wind-ramp-event-prediction-with-parallelized-gradient-boosted-regression-trees-1610.05009</loc><lastmod>2016-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wind-ramp-event-prediction-with-parallelized-gradient-boosted-regression-trees-1610.05009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wind-ramp-event-prediction-with-parallelized-gradient-boosted-regression-trees-1610.05009"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-metric-learning-for-the-analysis-of-motion-data-1610.05083</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-metric-learning-for-the-analysis-of-motion-data-1610.05083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-metric-learning-for-the-analysis-of-motion-data-1610.05083"/></url>
<url><loc>https://scifaro.com/en/abs/risk-aware-algorithms-for-adversarial-contextual-bandits-1610.05129</loc><lastmod>2016-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-aware-algorithms-for-adversarial-contextual-bandits-1610.05129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-aware-algorithms-for-adversarial-contextual-bandits-1610.05129"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-collaborative-learning-of-personalized-models-over-networks-1610.05202</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-collaborative-learning-of-personalized-models-over-networks-1610.05202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-collaborative-learning-of-personalized-models-over-networks-1610.05202"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-learning-without-feedback-1610.05394</loc><lastmod>2016-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-learning-without-feedback-1610.05394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-learning-without-feedback-1610.05394"/></url>
<url><loc>https://scifaro.com/en/abs/improving-covariance-regularized-discriminant-analysis-for-ehr-based-predictive-analytics-of-diseases-1610.05446</loc><lastmod>2023-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-covariance-regularized-discriminant-analysis-for-ehr-based-predictive-analytics-of-diseases-1610.05446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-covariance-regularized-discriminant-analysis-for-ehr-based-predictive-analytics-of-diseases-1610.05446"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-strategies-for-improving-communication-efficiency-1610.05492</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-strategies-for-improving-communication-efficiency-1610.05492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-strategies-for-improving-communication-efficiency-1610.05492"/></url>
<url><loc>https://scifaro.com/en/abs/online-contrastive-divergence-with-generative-replay-experience-replay-without-storing-data-1610.05555</loc><lastmod>2016-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-contrastive-divergence-with-generative-replay-experience-replay-without-storing-data-1610.05555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-contrastive-divergence-with-generative-replay-experience-replay-without-storing-data-1610.05555"/></url>
<url><loc>https://scifaro.com/en/abs/big-batch-sgd-automated-inference-using-adaptive-batch-sizes-1610.05792</loc><lastmod>2017-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/big-batch-sgd-automated-inference-using-adaptive-batch-sizes-1610.05792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/big-batch-sgd-automated-inference-using-adaptive-batch-sizes-1610.05792"/></url>
<url><loc>https://scifaro.com/en/abs/decision-tree-classification-on-outsourced-data-1610.05796</loc><lastmod>2016-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-tree-classification-on-outsourced-data-1610.05796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-tree-classification-on-outsourced-data-1610.05796"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-learning-theory-approach-for-data-classification-with-l-diversity-1610.05815</loc><lastmod>2016-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-learning-theory-approach-for-data-classification-with-l-diversity-1610.05815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-learning-theory-approach-for-data-classification-with-l-diversity-1610.05815"/></url>
<url><loc>https://scifaro.com/en/abs/cumf-sgd-fast-and-scalable-matrix-factorization-1610.05838</loc><lastmod>2016-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cumf-sgd-fast-and-scalable-matrix-factorization-1610.05838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cumf-sgd-fast-and-scalable-matrix-factorization-1610.05838"/></url>
<url><loc>https://scifaro.com/en/abs/k-nearest-neighbor-classification-using-anatomized-data-1610.06048</loc><lastmod>2016-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-nearest-neighbor-classification-using-anatomized-data-1610.06048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-nearest-neighbor-classification-using-anatomized-data-1610.06048"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-learn-neural-networks-1610.06072</loc><lastmod>2016-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-learn-neural-networks-1610.06072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-learn-neural-networks-1610.06072"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-normalization-towards-simpler-and-more-biologically-plausible-normalizations-for-online-and-recurrent-learning-1610.06160</loc><lastmod>2016-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-normalization-towards-simpler-and-more-biologically-plausible-normalizations-for-online-and-recurrent-learning-1610.06160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-normalization-towards-simpler-and-more-biologically-plausible-normalizations-for-online-and-recurrent-learning-1610.06160"/></url>
<url><loc>https://scifaro.com/en/abs/structured-adaptive-and-random-spinners-for-fast-machine-learning-computations-1610.06209</loc><lastmod>2025-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-adaptive-and-random-spinners-for-fast-machine-learning-computations-1610.06209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-adaptive-and-random-spinners-for-fast-machine-learning-computations-1610.06209"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-anomaly-detection-for-mixed-data-1610.06249</loc><lastmod>2016-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-anomaly-detection-for-mixed-data-1610.06249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-anomaly-detection-for-mixed-data-1610.06249"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-scalability-of-distributed-machine-learning-1610.06276</loc><lastmod>2017-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-scalability-of-distributed-machine-learning-1610.06276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-scalability-of-distributed-machine-learning-1610.06276"/></url>
<url><loc>https://scifaro.com/en/abs/autonomous-racing-using-learning-model-predictive-control-1610.06534</loc><lastmod>2017-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autonomous-racing-using-learning-model-predictive-control-1610.06534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autonomous-racing-using-learning-model-predictive-control-1610.06534"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-multi-armed-bandit-with-general-reward-functions-1610.06603</loc><lastmod>2018-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-multi-armed-bandit-with-general-reward-functions-1610.06603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-multi-armed-bandit-with-general-reward-functions-1610.06603"/></url>
<url><loc>https://scifaro.com/en/abs/robust-training-on-approximated-minimal-entropy-set-1610.06806</loc><lastmod>2016-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-training-on-approximated-minimal-entropy-set-1610.06806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-training-on-approximated-minimal-entropy-set-1610.06806"/></url>
<url><loc>https://scifaro.com/en/abs/convex-formulation-for-kernel-pca-and-its-use-in-semi-supervised-learning-1610.06811</loc><lastmod>2017-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-formulation-for-kernel-pca-and-its-use-in-semi-supervised-learning-1610.06811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-formulation-for-kernel-pca-and-its-use-in-semi-supervised-learning-1610.06811"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-minibatch-acceptance-test-for-metropolis-hastings-1610.06848</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-minibatch-acceptance-test-for-metropolis-hastings-1610.06848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-minibatch-acceptance-test-for-metropolis-hastings-1610.06848"/></url>
<url><loc>https://scifaro.com/en/abs/bit-pragmatic-deep-neural-network-computing-1610.06920</loc><lastmod>2016-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bit-pragmatic-deep-neural-network-computing-1610.06920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bit-pragmatic-deep-neural-network-computing-1610.06920"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-of-classification-algorithms-in-terms-of-mean-standard-deviation-using-a-topsis-1610.06998</loc><lastmod>2016-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-of-classification-algorithms-in-terms-of-mean-standard-deviation-using-a-topsis-1610.06998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-of-classification-algorithms-in-terms-of-mean-standard-deviation-using-a-topsis-1610.06998"/></url>
<url><loc>https://scifaro.com/en/abs/cross-device-matching-for-online-advertising-with-neural-feature-ensembles-first-place-solution-at-cikm-cup-2016-1610.07119</loc><lastmod>2017-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-device-matching-for-online-advertising-with-neural-feature-ensembles-first-place-solution-at-cikm-cup-2016-1610.07119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-device-matching-for-online-advertising-with-neural-feature-ensembles-first-place-solution-at-cikm-cup-2016-1610.07119"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-be-fair-and-diverse-1610.07183</loc><lastmod>2016-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-be-fair-and-diverse-1610.07183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-be-fair-and-diverse-1610.07183"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-with-deconvolution-for-multivariate-time-series-classification-and-visualization-1610.07258</loc><lastmod>2016-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-with-deconvolution-for-multivariate-time-series-classification-and-visualization-1610.07258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-with-deconvolution-for-multivariate-time-series-classification-and-visualization-1610.07258"/></url>
<url><loc>https://scifaro.com/en/abs/encoding-temporal-markov-dynamics-in-graph-for-visualizing-and-mining-time-series-1610.07273</loc><lastmod>2018-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encoding-temporal-markov-dynamics-in-graph-for-visualizing-and-mining-time-series-1610.07273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encoding-temporal-markov-dynamics-in-graph-for-visualizing-and-mining-time-series-1610.07273"/></url>
<url><loc>https://scifaro.com/en/abs/on-multiplicative-multitask-feature-learning-1610.07563</loc><lastmod>2016-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-multiplicative-multitask-feature-learning-1610.07563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-multiplicative-multitask-feature-learning-1610.07563"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-counterfactuals-from-large-historical-data-and-small-randomized-trials-1610.07667</loc><lastmod>2016-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-counterfactuals-from-large-historical-data-and-small-randomized-trials-1610.07667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-counterfactuals-from-large-historical-data-and-small-randomized-trials-1610.07667"/></url>
<url><loc>https://scifaro.com/en/abs/surprisal-driven-zoneout-1610.07675</loc><lastmod>2016-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surprisal-driven-zoneout-1610.07675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surprisal-driven-zoneout-1610.07675"/></url>
<url><loc>https://scifaro.com/en/abs/co-occuring-directions-sketching-for-approximate-matrix-multiply-1610.07686</loc><lastmod>2016-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-occuring-directions-sketching-for-approximate-matrix-multiply-1610.07686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-occuring-directions-sketching-for-approximate-matrix-multiply-1610.07686"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-and-parallel-time-series-feature-extraction-for-industrial-big-data-applications-1610.07717</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-and-parallel-time-series-feature-extraction-for-industrial-big-data-applications-1610.07717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-and-parallel-time-series-feature-extraction-for-industrial-big-data-applications-1610.07717"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-hierarchical-tucker-factorization-and-its-application-to-healthcare-1610.07722</loc><lastmod>2016-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-hierarchical-tucker-factorization-and-its-application-to-healthcare-1610.07722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-hierarchical-tucker-factorization-and-its-application-to-healthcare-1610.07722"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-clustering-classification-neural-network-in-the-medical-diagnostics-of-reactive-arthritis-1610.07857</loc><lastmod>2016-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-clustering-classification-neural-network-in-the-medical-diagnostics-of-reactive-arthritis-1610.07857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-clustering-classification-neural-network-in-the-medical-diagnostics-of-reactive-arthritis-1610.07857"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-weighted-automata-1610.07883</loc><lastmod>2016-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-weighted-automata-1610.07883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-weighted-automata-1610.07883"/></url>
<url><loc>https://scifaro.com/en/abs/socratic-learning-augmenting-generative-models-to-incorporate-latent-subsets-in-training-data-1610.08123</loc><lastmod>2017-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/socratic-learning-augmenting-generative-models-to-incorporate-latent-subsets-in-training-data-1610.08123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/socratic-learning-augmenting-generative-models-to-incorporate-latent-subsets-in-training-data-1610.08123"/></url>
<url><loc>https://scifaro.com/en/abs/fast-bayesian-non-negative-matrix-factorisation-and-tri-factorisation-1610.08127</loc><lastmod>2016-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-bayesian-non-negative-matrix-factorisation-and-tri-factorisation-1610.08127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-bayesian-non-negative-matrix-factorisation-and-tri-factorisation-1610.08127"/></url>
<url><loc>https://scifaro.com/en/abs/word-embeddings-and-their-use-in-sentence-classification-tasks-1610.08229</loc><lastmod>2016-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/word-embeddings-and-their-use-in-sentence-classification-tasks-1610.08229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/word-embeddings-and-their-use-in-sentence-classification-tasks-1610.08229"/></url>
<url><loc>https://scifaro.com/en/abs/things-bayes-can-t-do-1610.08239</loc><lastmod>2016-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/things-bayes-can-t-do-1610.08239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/things-bayes-can-t-do-1610.08239"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-approach-for-prediction-of-parkinson-s-disease-using-machine-learning-techniques-1610.08250</loc><lastmod>2016-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-approach-for-prediction-of-parkinson-s-disease-using-machine-learning-techniques-1610.08250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-approach-for-prediction-of-parkinson-s-disease-using-machine-learning-techniques-1610.08250"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-matching-pursuit-for-sparse-signal-recovery-1610.08495</loc><lastmod>2016-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-matching-pursuit-for-sparse-signal-recovery-1610.08495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-matching-pursuit-for-sparse-signal-recovery-1610.08495"/></url>
<url><loc>https://scifaro.com/en/abs/can-active-memory-replace-attention-1610.08613</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-active-memory-replace-attention-1610.08613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-active-memory-replace-attention-1610.08613"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-k-means-1610.08738</loc><lastmod>2017-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-k-means-1610.08738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-k-means-1610.08738"/></url>
<url><loc>https://scifaro.com/en/abs/learning-scalable-deep-kernels-with-recurrent-structure-1610.08936</loc><lastmod>2017-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-scalable-deep-kernels-with-recurrent-structure-1610.08936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-scalable-deep-kernels-with-recurrent-structure-1610.08936"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-memory-augmented-neural-networks-with-sparse-reads-and-writes-1610.09027</loc><lastmod>2016-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-memory-augmented-neural-networks-with-sparse-reads-and-writes-1610.09027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-memory-augmented-neural-networks-with-sparse-reads-and-writes-1610.09027"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-random-features-1610.09072</loc><lastmod>2016-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-random-features-1610.09072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-random-features-1610.09072"/></url>
<url><loc>https://scifaro.com/en/abs/sol-a-library-for-scalable-online-learning-algorithms-1610.09083</loc><lastmod>2016-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sol-a-library-for-scalable-online-learning-algorithms-1610.09083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sol-a-library-for-scalable-online-learning-algorithms-1610.09083"/></url>
<url><loc>https://scifaro.com/en/abs/a-conceptual-development-of-quench-prediction-app-build-on-lstm-and-elqa-framework-1610.09201</loc><lastmod>2016-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-conceptual-development-of-quench-prediction-app-build-on-lstm-and-elqa-framework-1610.09201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-conceptual-development-of-quench-prediction-app-build-on-lstm-and-elqa-framework-1610.09201"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-clustering-via-spreading-metrics-1610.09269</loc><lastmod>2016-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-clustering-via-spreading-metrics-1610.09269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-clustering-via-spreading-metrics-1610.09269"/></url>
<url><loc>https://scifaro.com/en/abs/toward-implicit-sample-noise-modeling-deviation-driven-matrix-factorization-1610.09274</loc><lastmod>2016-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-implicit-sample-noise-modeling-deviation-driven-matrix-factorization-1610.09274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-implicit-sample-noise-modeling-deviation-driven-matrix-factorization-1610.09274"/></url>
<url><loc>https://scifaro.com/en/abs/improving-sampling-from-generative-autoencoders-with-markov-chains-1610.09296</loc><lastmod>2017-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-sampling-from-generative-autoencoders-with-markov-chains-1610.09296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-sampling-from-generative-autoencoders-with-markov-chains-1610.09296"/></url>
<url><loc>https://scifaro.com/en/abs/globally-optimal-training-of-generalized-polynomial-neural-networks-with-nonlinear-spectral-methods-1610.09300</loc><lastmod>2016-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/globally-optimal-training-of-generalized-polynomial-neural-networks-with-nonlinear-spectral-methods-1610.09300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/globally-optimal-training-of-generalized-polynomial-neural-networks-with-nonlinear-spectral-methods-1610.09300"/></url>
<url><loc>https://scifaro.com/en/abs/correlated-pca-principal-components-analysis-when-data-and-noise-are-correlated-1610.09307</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlated-pca-principal-components-analysis-when-data-and-noise-are-correlated-1610.09307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlated-pca-principal-components-analysis-when-data-and-noise-are-correlated-1610.09307"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-gaifman-models-1610.09369</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-gaifman-models-1610.09369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-gaifman-models-1610.09369"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-exchangeability-the-chinese-voting-process-1610.09428</loc><lastmod>2016-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-exchangeability-the-chinese-voting-process-1610.09428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-exchangeability-the-chinese-voting-process-1610.09428"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-stochastic-block-coordinate-descent-with-variance-reduction-1610.09447</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-stochastic-block-coordinate-descent-with-variance-reduction-1610.09447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-stochastic-block-coordinate-descent-with-variance-reduction-1610.09447"/></url>
<url><loc>https://scifaro.com/en/abs/keystoneml-optimizing-pipelines-for-large-scale-advanced-analytics-1610.09451</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/keystoneml-optimizing-pipelines-for-large-scale-advanced-analytics-1610.09451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/keystoneml-optimizing-pipelines-for-large-scale-advanced-analytics-1610.09451"/></url>
<url><loc>https://scifaro.com/en/abs/fast-learning-with-nonconvex-l1-2-regularization-1610.09461</loc><lastmod>2017-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-learning-with-nonconvex-l1-2-regularization-1610.09461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-learning-with-nonconvex-l1-2-regularization-1610.09461"/></url>
<url><loc>https://scifaro.com/en/abs/sdp-relaxation-with-randomized-rounding-for-energy-disaggregation-1610.09491</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sdp-relaxation-with-randomized-rounding-for-energy-disaggregation-1610.09491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sdp-relaxation-with-randomized-rounding-for-energy-disaggregation-1610.09491"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-decision-processes-with-low-bellman-rank-are-pac-learnable-1610.09512</loc><lastmod>2016-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-decision-processes-with-low-bellman-rank-are-pac-learnable-1610.09512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-decision-processes-with-low-bellman-rank-are-pac-learnable-1610.09512"/></url>
<url><loc>https://scifaro.com/en/abs/phased-lstm-accelerating-recurrent-network-training-for-long-or-event-based-sequences-1610.09513</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phased-lstm-accelerating-recurrent-network-training-for-long-or-event-based-sequences-1610.09513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phased-lstm-accelerating-recurrent-network-training-for-long-or-event-based-sequences-1610.09513"/></url>
<url><loc>https://scifaro.com/en/abs/tensorly-tensor-learning-in-python-1610.09555</loc><lastmod>2018-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensorly-tensor-learning-in-python-1610.09555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensorly-tensor-learning-in-python-1610.09555"/></url>
<url><loc>https://scifaro.com/en/abs/fair-algorithms-for-infinite-and-contextual-bandits-1610.09559</loc><lastmod>2017-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-algorithms-for-infinite-and-contextual-bandits-1610.09559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-algorithms-for-infinite-and-contextual-bandits-1610.09559"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretical-study-of-the-relationship-between-whole-an-elm-network-and-its-subnetworks-1610.09608</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-study-of-the-relationship-between-whole-an-elm-network-and-its-subnetworks-1610.09608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-study-of-the-relationship-between-whole-an-elm-network-and-its-subnetworks-1610.09608"/></url>
<url><loc>https://scifaro.com/en/abs/compact-deep-convolutional-neural-networks-with-coarse-pruning-1610.09639</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compact-deep-convolutional-neural-networks-with-coarse-pruning-1610.09639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compact-deep-convolutional-neural-networks-with-coarse-pruning-1610.09639"/></url>
<url><loc>https://scifaro.com/en/abs/deep-model-compression-distilling-knowledge-from-noisy-teachers-1610.09650</loc><lastmod>2016-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-model-compression-distilling-knowledge-from-noisy-teachers-1610.09650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-model-compression-distilling-knowledge-from-noisy-teachers-1610.09650"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-convolutional-neural-networks-1610.09716</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-convolutional-neural-networks-1610.09716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-convolutional-neural-networks-1610.09716"/></url>
<url><loc>https://scifaro.com/en/abs/the-multi-fidelity-multi-armed-bandit-1610.09726</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-multi-fidelity-multi-armed-bandit-1610.09726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-multi-fidelity-multi-armed-bandit-1610.09726"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-from-imperfect-labelers-1610.09730</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-from-imperfect-labelers-1610.09730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-from-imperfect-labelers-1610.09730"/></url>
<url><loc>https://scifaro.com/en/abs/dppred-an-effective-prediction-framework-with-concise-discriminative-patterns-1610.09778</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dppred-an-effective-prediction-framework-with-concise-discriminative-patterns-1610.09778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dppred-an-effective-prediction-framework-with-concise-discriminative-patterns-1610.09778"/></url>
<url><loc>https://scifaro.com/en/abs/depth-width-tradeoffs-in-approximating-natural-functions-with-neural-networks-1610.09887</loc><lastmod>2020-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depth-width-tradeoffs-in-approximating-natural-functions-with-neural-networks-1610.09887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depth-width-tradeoffs-in-approximating-natural-functions-with-neural-networks-1610.09887"/></url>
<url><loc>https://scifaro.com/en/abs/learning-runtime-parameters-in-computer-systems-with-delayed-experience-injection-1610.09903</loc><lastmod>2016-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-runtime-parameters-in-computer-systems-with-delayed-experience-injection-1610.09903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-runtime-parameters-in-computer-systems-with-delayed-experience-injection-1610.09903"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-spatio-temporal-structure-with-recurrent-winner-take-all-networks-1611.00050</loc><lastmod>2017-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-spatio-temporal-structure-with-recurrent-winner-take-all-networks-1611.00050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-spatio-temporal-structure-with-recurrent-winner-take-all-networks-1611.00050"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-bandwidth-selection-for-svdd-peak-criterion-approach-for-large-data-1611.00058</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-bandwidth-selection-for-svdd-peak-criterion-approach-for-large-data-1611.00058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-bandwidth-selection-for-svdd-peak-criterion-approach-for-large-data-1611.00058"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-adaptive-data-analysis-guarantees-from-subgaussianity-1611.00065</loc><lastmod>2017-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-adaptive-data-analysis-guarantees-from-subgaussianity-1611.00065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-adaptive-data-analysis-guarantees-from-subgaussianity-1611.00065"/></url>
<url><loc>https://scifaro.com/en/abs/musicmood-predicting-the-mood-of-music-from-song-lyrics-using-machine-learning-1611.00138</loc><lastmod>2016-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/musicmood-predicting-the-mood-of-music-from-song-lyrics-using-machine-learning-1611.00138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/musicmood-predicting-the-mood-of-music-from-song-lyrics-using-machine-learning-1611.00138"/></url>
<url><loc>https://scifaro.com/en/abs/product-based-neural-networks-for-user-response-prediction-1611.00144</loc><lastmod>2016-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/product-based-neural-networks-for-user-response-prediction-1611.00144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/product-based-neural-networks-for-user-response-prediction-1611.00144"/></url>
<url><loc>https://scifaro.com/en/abs/robust-spectral-inference-for-joint-stochastic-matrix-factorization-1611.00175</loc><lastmod>2016-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-spectral-inference-for-joint-stochastic-matrix-factorization-1611.00175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-spectral-inference-for-joint-stochastic-matrix-factorization-1611.00175"/></url>
<url><loc>https://scifaro.com/en/abs/improving-a-credit-scoring-model-by-incorporating-bank-statement-derived-features-1611.00252</loc><lastmod>2017-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-a-credit-scoring-model-by-incorporating-bank-statement-derived-features-1611.00252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-a-credit-scoring-model-by-incorporating-bank-statement-derived-features-1611.00252"/></url>
<url><loc>https://scifaro.com/en/abs/stationary-time-vertex-signal-processing-1611.00255</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stationary-time-vertex-signal-processing-1611.00255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stationary-time-vertex-signal-processing-1611.00255"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-radio-anomaly-detection-1611.00301</loc><lastmod>2016-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-radio-anomaly-detection-1611.00301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-radio-anomaly-detection-1611.00301"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-radio-signal-identification-1611.00303</loc><lastmod>2017-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-radio-signal-identification-1611.00303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-radio-signal-identification-1611.00303"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-mean-estimation-with-limited-communication-1611.00429</loc><lastmod>2017-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-mean-estimation-with-limited-communication-1611.00429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-mean-estimation-with-limited-communication-1611.00429"/></url>
<url><loc>https://scifaro.com/en/abs/natural-parameter-networks-a-class-of-probabilistic-neural-networks-1611.00448</loc><lastmod>2016-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-parameter-networks-a-class-of-probabilistic-neural-networks-1611.00448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-parameter-networks-a-class-of-probabilistic-neural-networks-1611.00448"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-recurrent-autoencoder-recommend-while-learning-to-fill-in-the-blanks-1611.00454</loc><lastmod>2016-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-recurrent-autoencoder-recommend-while-learning-to-fill-in-the-blanks-1611.00454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-recurrent-autoencoder-recommend-while-learning-to-fill-in-the-blanks-1611.00454"/></url>
<url><loc>https://scifaro.com/en/abs/online-multi-view-clustering-with-incomplete-views-1611.00481</loc><lastmod>2016-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-multi-view-clustering-with-incomplete-views-1611.00481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-multi-view-clustering-with-incomplete-views-1611.00481"/></url>
<url><loc>https://scifaro.com/en/abs/torchcraft-a-library-for-machine-learning-research-on-real-time-strategy-games-1611.00625</loc><lastmod>2016-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/torchcraft-a-library-for-machine-learning-research-on-real-time-strategy-games-1611.00625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/torchcraft-a-library-for-machine-learning-research-on-real-time-strategy-games-1611.00625"/></url>
<url><loc>https://scifaro.com/en/abs/the-concrete-distribution-a-continuous-relaxation-of-discrete-random-variables-1611.00712</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-concrete-distribution-a-continuous-relaxation-of-discrete-random-variables-1611.00712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-concrete-distribution-a-continuous-relaxation-of-discrete-random-variables-1611.00712"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-semi-supervised-learning-over-networks-using-nonsmooth-convex-optimization-1611.00714</loc><lastmod>2016-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-semi-supervised-learning-over-networks-using-nonsmooth-convex-optimization-1611.00714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-semi-supervised-learning-over-networks-using-nonsmooth-convex-optimization-1611.00714"/></url>
<url><loc>https://scifaro.com/en/abs/why-and-when-can-deep-but-not-shallow-networks-avoid-the-curse-of-dimensionality-a-review-1611.00740</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-and-when-can-deep-but-not-shallow-networks-avoid-the-curse-of-dimensionality-a-review-1611.00740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-and-when-can-deep-but-not-shallow-networks-avoid-the-curse-of-dimensionality-a-review-1611.00740"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-matrix-completion-with-locally-linear-latent-factors-for-medical-applications-1611.00800</loc><lastmod>2016-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-matrix-completion-with-locally-linear-latent-factors-for-medical-applications-1611.00800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-matrix-completion-with-locally-linear-latent-factors-for-medical-applications-1611.00800"/></url>
<url><loc>https://scifaro.com/en/abs/deep-convolutional-neural-network-design-patterns-1611.00847</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-convolutional-neural-network-design-patterns-1611.00847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-convolutional-neural-network-design-patterns-1611.00847"/></url>
<url><loc>https://scifaro.com/en/abs/quantile-reinforcement-learning-1611.00862</loc><lastmod>2016-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantile-reinforcement-learning-1611.00862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantile-reinforcement-learning-1611.00862"/></url>
<url><loc>https://scifaro.com/en/abs/learning-locomotion-skills-using-deeprl-does-the-choice-of-action-space-matter-1611.01055</loc><lastmod>2017-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-locomotion-skills-using-deeprl-does-the-choice-of-action-space-matter-1611.01055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-locomotion-skills-using-deeprl-does-the-choice-of-action-space-matter-1611.01055"/></url>
<url><loc>https://scifaro.com/en/abs/a-ward-p-b-eta-effective-hierarchical-clustering-using-the-minkowski-metric-and-a-fast-k-means-initialisation-1611.01060</loc><lastmod>2016-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-ward-p-b-eta-effective-hierarchical-clustering-using-the-minkowski-metric-and-a-fast-k-means-initialisation-1611.01060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-ward-p-b-eta-effective-hierarchical-clustering-using-the-minkowski-metric-and-a-fast-k-means-initialisation-1611.01060"/></url>
<url><loc>https://scifaro.com/en/abs/using-a-deep-reinforcement-learning-agent-for-traffic-signal-control-1611.01142</loc><lastmod>2016-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-a-deep-reinforcement-learning-agent-for-traffic-signal-control-1611.01142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-a-deep-reinforcement-learning-agent-for-traffic-signal-control-1611.01142"/></url>
<url><loc>https://scifaro.com/en/abs/privlogit-efficient-privacy-preserving-logistic-regression-by-tailoring-numerical-optimizers-1611.01170</loc><lastmod>2016-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privlogit-efficient-privacy-preserving-logistic-regression-by-tailoring-numerical-optimizers-1611.01170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privlogit-efficient-privacy-preserving-logistic-regression-by-tailoring-numerical-optimizers-1611.01170"/></url>
<url><loc>https://scifaro.com/en/abs/combating-reinforcement-learning-s-sisyphean-curse-with-intrinsic-fear-1611.01211</loc><lastmod>2018-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combating-reinforcement-learning-s-sisyphean-curse-with-intrinsic-fear-1611.01211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combating-reinforcement-learning-s-sisyphean-curse-with-intrinsic-fear-1611.01211"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-actor-critic-with-experience-replay-1611.01224</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-actor-critic-with-experience-replay-1611.01224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-actor-critic-with-experience-replay-1611.01224"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-topic-modeling-1611.01259</loc><lastmod>2016-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-topic-modeling-1611.01259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-topic-modeling-1611.01259"/></url>
<url><loc>https://scifaro.com/en/abs/semantic-noise-modeling-for-better-representation-learning-1611.01268</loc><lastmod>2016-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantic-noise-modeling-for-better-representation-learning-1611.01268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantic-noise-modeling-for-better-representation-learning-1611.01268"/></url>
<url><loc>https://scifaro.com/en/abs/a-communication-efficient-parallel-algorithm-for-decision-tree-1611.01276</loc><lastmod>2016-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-communication-efficient-parallel-algorithm-for-decision-tree-1611.01276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-communication-efficient-parallel-algorithm-for-decision-tree-1611.01276"/></url>
<url><loc>https://scifaro.com/en/abs/learning-continuous-semantic-representations-of-symbolic-expressions-1611.01423</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-continuous-semantic-representations-of-symbolic-expressions-1611.01423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-continuous-semantic-representations-of-symbolic-expressions-1611.01423"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-deep-learning-by-metric-embedding-1611.01449</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-deep-learning-by-metric-embedding-1611.01449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-deep-learning-by-metric-embedding-1611.01449"/></url>
<url><loc>https://scifaro.com/en/abs/ways-of-conditioning-generative-adversarial-networks-1611.01455</loc><lastmod>2016-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ways-of-conditioning-generative-adversarial-networks-1611.01455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ways-of-conditioning-generative-adversarial-networks-1611.01455"/></url>
<url><loc>https://scifaro.com/en/abs/learning-heat-diffusion-graphs-1611.01456</loc><lastmod>2016-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-heat-diffusion-graphs-1611.01456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-heat-diffusion-graphs-1611.01456"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-with-deep-model-based-reinforcement-learning-1611.01457</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-with-deep-model-based-reinforcement-learning-1611.01457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-with-deep-model-based-reinforcement-learning-1611.01457"/></url>
<url><loc>https://scifaro.com/en/abs/tying-word-vectors-and-word-classifiers-a-loss-framework-for-language-modeling-1611.01462</loc><lastmod>2017-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tying-word-vectors-and-word-classifiers-a-loss-framework-for-language-modeling-1611.01462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tying-word-vectors-and-word-classifiers-a-loss-framework-for-language-modeling-1611.01462"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-deep-neural-networks-with-rectified-linear-units-1611.01491</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-deep-neural-networks-with-rectified-linear-units-1611.01491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-deep-neural-networks-with-rectified-linear-units-1611.01491"/></url>
<url><loc>https://scifaro.com/en/abs/protein-secondary-structure-prediction-using-deep-multi-scale-convolutional-neural-networks-and-next-step-conditioning-1611.01503</loc><lastmod>2016-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/protein-secondary-structure-prediction-using-deep-multi-scale-convolutional-neural-networks-and-next-step-conditioning-1611.01503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/protein-secondary-structure-prediction-using-deep-multi-scale-convolutional-neural-networks-and-next-step-conditioning-1611.01503"/></url>
<url><loc>https://scifaro.com/en/abs/eve-a-gradient-based-optimization-method-with-locally-and-globally-adaptive-learning-rates-1611.01505</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eve-a-gradient-based-optimization-method-with-locally-and-globally-adaptive-learning-rates-1611.01505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eve-a-gradient-based-optimization-method-with-locally-and-globally-adaptive-learning-rates-1611.01505"/></url>
<url><loc>https://scifaro.com/en/abs/neural-architecture-search-with-reinforcement-learning-1611.01578</loc><lastmod>2017-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-architecture-search-with-reinforcement-learning-1611.01578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-architecture-search-with-reinforcement-learning-1611.01578"/></url>
<url><loc>https://scifaro.com/en/abs/class-prior-estimation-for-learning-from-positive-and-unlabeled-data-1611.01586</loc><lastmod>2016-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-prior-estimation-for-learning-from-positive-and-unlabeled-data-1611.01586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-prior-estimation-for-learning-from-positive-and-unlabeled-data-1611.01586"/></url>
<url><loc>https://scifaro.com/en/abs/lipnet-end-to-end-sentence-level-lipreading-1611.01599</loc><lastmod>2016-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipnet-end-to-end-sentence-level-lipreading-1611.01599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipnet-end-to-end-sentence-level-lipreading-1611.01599"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-play-in-a-day-faster-deep-reinforcement-learning-by-optimality-tightening-1611.01606</loc><lastmod>2016-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-play-in-a-day-faster-deep-reinforcement-learning-by-optimality-tightening-1611.01606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-play-in-a-day-faster-deep-reinforcement-learning-by-optimality-tightening-1611.01606"/></url>
<url><loc>https://scifaro.com/en/abs/combining-policy-gradient-and-q-learning-1611.01626</loc><lastmod>2017-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-policy-gradient-and-q-learning-1611.01626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-policy-gradient-and-q-learning-1611.01626"/></url>
<url><loc>https://scifaro.com/en/abs/robustly-representing-uncertainty-in-deep-neural-networks-through-sampling-1611.01639</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustly-representing-uncertainty-in-deep-neural-networks-through-sampling-1611.01639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustly-representing-uncertainty-in-deep-neural-networks-through-sampling-1611.01639"/></url>
<url><loc>https://scifaro.com/en/abs/generative-multi-adversarial-networks-1611.01673</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-multi-adversarial-networks-1611.01673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-multi-adversarial-networks-1611.01673"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-learning-algorithms-in-neural-network-for-diagnosing-cardiovascular-disease-1611.01678</loc><lastmod>2016-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-learning-algorithms-in-neural-network-for-diagnosing-cardiovascular-disease-1611.01678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-learning-algorithms-in-neural-network-for-diagnosing-cardiovascular-disease-1611.01678"/></url>
<url><loc>https://scifaro.com/en/abs/oracle-efficient-online-learning-and-auction-design-1611.01688</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oracle-efficient-online-learning-and-auction-design-1611.01688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oracle-efficient-online-learning-and-auction-design-1611.01688"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-fine-tuning-a-modular-approach-to-learning-on-small-data-1611.01714</loc><lastmod>2016-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-fine-tuning-a-modular-approach-to-learning-on-small-data-1611.01714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-fine-tuning-a-modular-approach-to-learning-on-small-data-1611.01714"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-act-by-predicting-the-future-1611.01779</loc><lastmod>2017-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-act-by-predicting-the-future-1611.01779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-act-by-predicting-the-future-1611.01779"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-superoptimize-programs-1611.01787</loc><lastmod>2017-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-superoptimize-programs-1611.01787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-superoptimize-programs-1611.01787"/></url>
<url><loc>https://scifaro.com/en/abs/modular-multitask-reinforcement-learning-with-policy-sketches-1611.01796</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modular-multitask-reinforcement-learning-with-policy-sketches-1611.01796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modular-multitask-reinforcement-learning-with-policy-sketches-1611.01796"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-networks-as-variational-training-of-energy-based-models-1611.01799</loc><lastmod>2016-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-networks-as-variational-training-of-energy-based-models-1611.01799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-networks-as-variational-training-of-energy-based-models-1611.01799"/></url>
<url><loc>https://scifaro.com/en/abs/entropy-sgd-biasing-gradient-descent-into-wide-valleys-1611.01838</loc><lastmod>2017-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropy-sgd-biasing-gradient-descent-into-wide-valleys-1611.01838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropy-sgd-biasing-gradient-descent-into-wide-valleys-1611.01838"/></url>
<url><loc>https://scifaro.com/en/abs/challenges-of-feature-selection-for-big-data-analytics-1611.01875</loc><lastmod>2016-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-of-feature-selection-for-big-data-analytics-1611.01875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-of-feature-selection-for-big-data-analytics-1611.01875"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-theoretic-framework-for-fast-and-robust-unsupervised-learning-via-neural-population-infomax-1611.01886</loc><lastmod>2017-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-theoretic-framework-for-fast-and-robust-unsupervised-learning-via-neural-population-infomax-1611.01886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-theoretic-framework-for-fast-and-robust-unsupervised-learning-via-neural-population-infomax-1611.01886"/></url>
<url><loc>https://scifaro.com/en/abs/deepsense-a-unified-deep-learning-framework-for-time-series-mobile-sensing-data-processing-1611.01942</loc><lastmod>2017-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepsense-a-unified-deep-learning-framework-for-time-series-mobile-sensing-data-processing-1611.01942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepsense-a-unified-deep-learning-framework-for-time-series-mobile-sensing-data-processing-1611.01942"/></url>
<url><loc>https://scifaro.com/en/abs/log-time-and-log-space-extreme-classification-1611.01964</loc><lastmod>2016-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/log-time-and-log-space-extreme-classification-1611.01964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/log-time-and-log-space-extreme-classification-1611.01964"/></url>
<url><loc>https://scifaro.com/en/abs/regularizing-cnns-with-locally-constrained-decorrelations-1611.01967</loc><lastmod>2017-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizing-cnns-with-locally-constrained-decorrelations-1611.01967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizing-cnns-with-locally-constrained-decorrelations-1611.01967"/></url>
<url><loc>https://scifaro.com/en/abs/deepcoder-learning-to-write-programs-1611.01989</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepcoder-learning-to-write-programs-1611.01989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepcoder-learning-to-write-programs-1611.01989"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-generative-adversarial-networks-1611.02019</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-generative-adversarial-networks-1611.02019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-generative-adversarial-networks-1611.02019"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-approach-for-parallelization-in-filters-aggregation-based-feature-selection-algorithms-1611.02047</loc><lastmod>2016-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-approach-for-parallelization-in-filters-aggregation-based-feature-selection-algorithms-1611.02047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-approach-for-parallelization-in-filters-aggregation-based-feature-selection-algorithms-1611.02047"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-based-simultaneous-algorithm-and-its-hyperparameters-selection-1611.02053</loc><lastmod>2016-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-based-simultaneous-algorithm-and-its-hyperparameters-selection-1611.02053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-based-simultaneous-algorithm-and-its-hyperparameters-selection-1611.02053"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-programs-with-neural-libraries-1611.02109</loc><lastmod>2017-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-programs-with-neural-libraries-1611.02109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-programs-with-neural-libraries-1611.02109"/></url>
<url><loc>https://scifaro.com/en/abs/unrolled-generative-adversarial-networks-1611.02163</loc><lastmod>2017-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unrolled-generative-adversarial-networks-1611.02163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unrolled-generative-adversarial-networks-1611.02163"/></url>
<url><loc>https://scifaro.com/en/abs/designing-neural-network-architectures-using-reinforcement-learning-1611.02167</loc><lastmod>2017-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-neural-network-architectures-using-reinforcement-learning-1611.02167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-neural-network-architectures-using-reinforcement-learning-1611.02167"/></url>
<url><loc>https://scifaro.com/en/abs/trusting-svm-for-piecewise-linear-cnns-1611.02185</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trusting-svm-for-piecewise-linear-cnns-1611.02185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trusting-svm-for-piecewise-linear-cnns-1611.02185"/></url>
<url><loc>https://scifaro.com/en/abs/cocoa-a-general-framework-for-communication-efficient-distributed-optimization-1611.02189</loc><lastmod>2018-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cocoa-a-general-framework-for-communication-efficient-distributed-optimization-1611.02189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cocoa-a-general-framework-for-communication-efficient-distributed-optimization-1611.02189"/></url>
<url><loc>https://scifaro.com/en/abs/playing-snes-in-the-retro-learning-environment-1611.02205</loc><lastmod>2017-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/playing-snes-in-the-retro-learning-environment-1611.02205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/playing-snes-in-the-retro-learning-environment-1611.02205"/></url>
<url><loc>https://scifaro.com/en/abs/q-prop-sample-efficient-policy-gradient-with-an-off-policy-critic-1611.02247</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/q-prop-sample-efficient-policy-gradient-with-an-off-policy-critic-1611.02247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/q-prop-sample-efficient-policy-gradient-with-an-off-policy-critic-1611.02247"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-compositional-feature-learning-1611.02252</loc><lastmod>2017-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-compositional-feature-learning-1611.02252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-compositional-feature-learning-1611.02252"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-binary-autoencoding-with-pairwise-correlations-1611.02268</loc><lastmod>2016-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-binary-autoencoding-with-pairwise-correlations-1611.02268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-binary-autoencoding-with-pairwise-correlations-1611.02268"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-untrusted-data-1611.02315</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-untrusted-data-1611.02315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-untrusted-data-1611.02315"/></url>
<url><loc>https://scifaro.com/en/abs/neural-taylor-approximations-convergence-and-exploration-in-rectifier-networks-1611.02345</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-taylor-approximations-convergence-and-exploration-in-rectifier-networks-1611.02345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-taylor-approximations-convergence-and-exploration-in-rectifier-networks-1611.02345"/></url>
<url><loc>https://scifaro.com/en/abs/divide-and-conquer-networks-1611.02401</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/divide-and-conquer-networks-1611.02401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/divide-and-conquer-networks-1611.02401"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-approach-to-boosting-performance-of-deep-spiking-network-training-1611.02416</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-approach-to-boosting-performance-of-deep-spiking-network-training-1611.02416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-approach-to-boosting-performance-of-deep-spiking-network-training-1611.02416"/></url>
<url><loc>https://scifaro.com/en/abs/pixelsne-visualizing-fast-with-just-enough-precision-via-pixel-aligned-stochastic-neighbor-embedding-1611.02568</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pixelsne-visualizing-fast-with-just-enough-precision-via-pixel-aligned-stochastic-neighbor-embedding-1611.02568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pixelsne-visualizing-fast-with-just-enough-precision-via-pixel-aligned-stochastic-neighbor-embedding-1611.02568"/></url>
<url><loc>https://scifaro.com/en/abs/gradients-of-counterfactuals-1611.02639</loc><lastmod>2016-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradients-of-counterfactuals-1611.02639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradients-of-counterfactuals-1611.02639"/></url>
<url><loc>https://scifaro.com/en/abs/deep-unsupervised-clustering-with-gaussian-mixture-variational-autoencoders-1611.02648</loc><lastmod>2017-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-unsupervised-clustering-with-gaussian-mixture-variational-autoencoders-1611.02648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-unsupervised-clustering-with-gaussian-mixture-variational-autoencoders-1611.02648"/></url>
<url><loc>https://scifaro.com/en/abs/variational-lossy-autoencoder-1611.02731</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-lossy-autoencoder-1611.02731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-lossy-autoencoder-1611.02731"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-regression-with-neural-networks-approximating-the-hji-pde-solution-1611.02739</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-regression-with-neural-networks-approximating-the-hji-pde-solution-1611.02739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-regression-with-neural-networks-approximating-the-hji-pde-solution-1611.02739"/></url>
<url><loc>https://scifaro.com/en/abs/delving-into-transferable-adversarial-examples-and-black-box-attacks-1611.02770</loc><lastmod>2017-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delving-into-transferable-adversarial-examples-and-black-box-attacks-1611.02770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delving-into-transferable-adversarial-examples-and-black-box-attacks-1611.02770"/></url>
<url><loc>https://scifaro.com/en/abs/sequence-tutor-conservative-fine-tuning-of-sequence-generation-models-with-kl-control-1611.02796</loc><lastmod>2017-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequence-tutor-conservative-fine-tuning-of-sequence-generation-models-with-kl-control-1611.02796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequence-tutor-conservative-fine-tuning-of-sequence-generation-models-with-kl-control-1611.02796"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-for-wireless-distributed-computing-1611.02830</loc><lastmod>2016-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-for-wireless-distributed-computing-1611.02830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-for-wireless-distributed-computing-1611.02830"/></url>
<url><loc>https://scifaro.com/en/abs/attributing-hacks-1611.03021</loc><lastmod>2017-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attributing-hacks-1611.03021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attributing-hacks-1611.03021"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-sequence-learning-1611.03068</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-sequence-learning-1611.03068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-sequence-learning-1611.03068"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-in-reinforcement-learning-1611.03071</loc><lastmod>2017-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-in-reinforcement-learning-1611.03071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-in-reinforcement-learning-1611.03071"/></url>
<url><loc>https://scifaro.com/en/abs/energy-efficient-machine-learning-in-silicon-a-communications-inspired-approach-1611.03109</loc><lastmod>2016-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-efficient-machine-learning-in-silicon-a-communications-inspired-approach-1611.03109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-efficient-machine-learning-in-silicon-a-communications-inspired-approach-1611.03109"/></url>
<url><loc>https://scifaro.com/en/abs/a-modular-theory-of-feature-learning-1611.03125</loc><lastmod>2016-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-modular-theory-of-feature-learning-1611.03125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-modular-theory-of-feature-learning-1611.03125"/></url>
<url><loc>https://scifaro.com/en/abs/diverse-neural-network-learns-true-target-functions-1611.03131</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diverse-neural-network-learns-true-target-functions-1611.03131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diverse-neural-network-learns-true-target-functions-1611.03131"/></url>
<url><loc>https://scifaro.com/en/abs/using-neural-networks-to-compute-approximate-and-guaranteed-feasible-hamilton-jacobi-bellman-pde-solutions-1611.03158</loc><lastmod>2017-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-neural-networks-to-compute-approximate-and-guaranteed-feasible-hamilton-jacobi-bellman-pde-solutions-1611.03158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-neural-networks-to-compute-approximate-and-guaranteed-feasible-hamilton-jacobi-bellman-pde-solutions-1611.03158"/></url>
<url><loc>https://scifaro.com/en/abs/low-data-drug-discovery-with-one-shot-learning-1611.03199</loc><lastmod>2016-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-data-drug-discovery-with-one-shot-learning-1611.03199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-data-drug-discovery-with-one-shot-learning-1611.03199"/></url>
<url><loc>https://scifaro.com/en/abs/ultimate-tensorization-compressing-convolutional-and-fc-layers-alike-1611.03214</loc><lastmod>2016-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ultimate-tensorization-compressing-convolutional-and-fc-layers-alike-1611.03214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ultimate-tensorization-compressing-convolutional-and-fc-layers-alike-1611.03214"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-factors-of-variation-in-deep-representations-using-adversarial-training-1611.03383</loc><lastmod>2016-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-factors-of-variation-in-deep-representations-using-adversarial-training-1611.03383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-factors-of-variation-in-deep-representations-using-adversarial-training-1611.03383"/></url>
<url><loc>https://scifaro.com/en/abs/importance-sampling-with-unequal-support-1611.03451</loc><lastmod>2016-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-sampling-with-unequal-support-1611.03451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-sampling-with-unequal-support-1611.03451"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-query-lower-bounds-for-robust-estimation-of-high-dimensional-gaussians-and-gaussian-mixtures-1611.03473</loc><lastmod>2017-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-query-lower-bounds-for-robust-estimation-of-high-dimensional-gaussians-and-gaussian-mixtures-1611.03473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-query-lower-bounds-for-robust-estimation-of-high-dimensional-gaussians-and-gaussian-mixtures-1611.03473"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-deep-learning-requires-rethinking-generalization-1611.03530</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-deep-learning-requires-rethinking-generalization-1611.03530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-deep-learning-requires-rethinking-generalization-1611.03530"/></url>
<url><loc>https://scifaro.com/en/abs/the-sum-product-theorem-a-foundation-for-learning-tractable-models-1611.03553</loc><lastmod>2016-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-sum-product-theorem-a-foundation-for-learning-tractable-models-1611.03553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-sum-product-theorem-a-foundation-for-learning-tractable-models-1611.03553"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-step-averaging-a-parameter-free-stochastic-optimization-method-1611.03608</loc><lastmod>2016-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-step-averaging-a-parameter-free-stochastic-optimization-method-1611.03608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-step-averaging-a-parameter-free-stochastic-optimization-method-1611.03608"/></url>
<url><loc>https://scifaro.com/en/abs/tricks-from-deep-learning-1611.03777</loc><lastmod>2016-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tricks-from-deep-learning-1611.03777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tricks-from-deep-learning-1611.03777"/></url>
<url><loc>https://scifaro.com/en/abs/recovery-guarantee-of-non-negative-matrix-factorization-via-alternating-updates-1611.03819</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovery-guarantee-of-non-negative-matrix-factorization-via-alternating-updates-1611.03819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovery-guarantee-of-non-negative-matrix-factorization-via-alternating-updates-1611.03819"/></url>
<url><loc>https://scifaro.com/en/abs/a-connection-between-generative-adversarial-networks-inverse-reinforcement-learning-and-energy-based-models-1611.03852</loc><lastmod>2016-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-connection-between-generative-adversarial-networks-inverse-reinforcement-learning-and-energy-based-models-1611.03852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-connection-between-generative-adversarial-networks-inverse-reinforcement-learning-and-energy-based-models-1611.03852"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-for-effective-user-engagement-on-social-media-1611.03894</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-for-effective-user-engagement-on-social-media-1611.03894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-for-effective-user-engagement-on-social-media-1611.03894"/></url>
<url><loc>https://scifaro.com/en/abs/low-latency-anomaly-detection-and-bayesian-network-prediction-of-anomaly-likelihood-1611.03898</loc><lastmod>2016-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-latency-anomaly-detection-and-bayesian-network-prediction-of-anomaly-likelihood-1611.03898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-latency-anomaly-detection-and-bayesian-network-prediction-of-anomaly-likelihood-1611.03898"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-donor-recipient-matching-for-organ-transplantation-1611.03934</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-donor-recipient-matching-for-organ-transplantation-1611.03934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-donor-recipient-matching-for-organ-transplantation-1611.03934"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-in-bitcoin-network-using-unsupervised-learning-methods-1611.03941</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-in-bitcoin-network-using-unsupervised-learning-methods-1611.03941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-in-bitcoin-network-using-unsupervised-learning-methods-1611.03941"/></url>
<url><loc>https://scifaro.com/en/abs/dual-teaching-a-practical-semi-supervised-wrapper-method-1611.03981</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-teaching-a-practical-semi-supervised-wrapper-method-1611.03981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-teaching-a-practical-semi-supervised-wrapper-method-1611.03981"/></url>
<url><loc>https://scifaro.com/en/abs/prognostics-of-surgical-site-infections-using-dynamic-health-data-1611.04049</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prognostics-of-surgical-site-infections-using-dynamic-health-data-1611.04049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prognostics-of-surgical-site-infections-using-dynamic-health-data-1611.04049"/></url>
<url><loc>https://scifaro.com/en/abs/batched-gaussian-process-bandit-optimization-via-determinantal-point-processes-1611.04088</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batched-gaussian-process-bandit-optimization-via-determinantal-point-processes-1611.04088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batched-gaussian-process-bandit-optimization-via-determinantal-point-processes-1611.04088"/></url>
<url><loc>https://scifaro.com/en/abs/realistic-risk-mitigating-recommendations-via-inverse-classification-1611.04199</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/realistic-risk-mitigating-recommendations-via-inverse-classification-1611.04199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/realistic-risk-mitigating-recommendations-via-inverse-classification-1611.04199"/></url>
<url><loc>https://scifaro.com/en/abs/cad2rl-real-single-image-flight-without-a-single-real-image-1611.04201</loc><lastmod>2017-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cad2rl-real-single-image-flight-without-a-single-real-image-1611.04201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cad2rl-real-single-image-flight-without-a-single-real-image-1611.04201"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-distributed-representations-using-the-hebbian-principle-1611.04228</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-distributed-representations-using-the-hebbian-principle-1611.04228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-distributed-representations-using-the-hebbian-principle-1611.04228"/></url>
<url><loc>https://scifaro.com/en/abs/identity-matters-in-deep-learning-1611.04231</loc><lastmod>2018-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identity-matters-in-deep-learning-1611.04231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identity-matters-in-deep-learning-1611.04231"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-quantitative-analysis-of-decoder-based-generative-models-1611.04273</loc><lastmod>2017-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-quantitative-analysis-of-decoder-based-generative-models-1611.04273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-quantitative-analysis-of-decoder-based-generative-models-1611.04273"/></url>
<url><loc>https://scifaro.com/en/abs/normalizing-the-normalizers-comparing-and-extending-network-normalization-schemes-1611.04520</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalizing-the-normalizers-comparing-and-extending-network-normalization-schemes-1611.04520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalizing-the-normalizers-comparing-and-extending-network-normalization-schemes-1611.04520"/></url>
<url><loc>https://scifaro.com/en/abs/earliness-aware-deep-convolutional-networks-for-early-time-series-classification-1611.04578</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/earliness-aware-deep-convolutional-networks-for-early-time-series-classification-1611.04578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/earliness-aware-deep-convolutional-networks-for-early-time-series-classification-1611.04578"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-scale-distributed-deep-learning-1611.04581</loc><lastmod>2016-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-scale-distributed-deep-learning-1611.04581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-scale-distributed-deep-learning-1611.04581"/></url>
<url><loc>https://scifaro.com/en/abs/robust-matrix-regression-1611.04686</loc><lastmod>2016-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-matrix-regression-1611.04686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-matrix-regression-1611.04686"/></url>
<url><loc>https://scifaro.com/en/abs/the-power-of-normalization-faster-evasion-of-saddle-points-1611.04831</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-power-of-normalization-faster-evasion-of-saddle-points-1611.04831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-power-of-normalization-faster-evasion-of-saddle-points-1611.04831"/></url>
<url><loc>https://scifaro.com/en/abs/the-power-of-side-information-in-subgraph-detection-1611.04847</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-power-of-side-information-in-subgraph-detection-1611.04847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-power-of-side-information-in-subgraph-detection-1611.04847"/></url>
<url><loc>https://scifaro.com/en/abs/audio-event-and-scene-recognition-a-unified-approach-using-strongly-and-weakly-labeled-data-1611.04871</loc><lastmod>2017-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/audio-event-and-scene-recognition-a-unified-approach-using-strongly-and-weakly-labeled-data-1611.04871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/audio-event-and-scene-recognition-a-unified-approach-using-strongly-and-weakly-labeled-data-1611.04871"/></url>
<url><loc>https://scifaro.com/en/abs/robust-semi-supervised-graph-classifier-learning-with-negative-edge-weights-1611.04924</loc><lastmod>2017-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-semi-supervised-graph-classifier-learning-with-negative-edge-weights-1611.04924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-semi-supervised-graph-classifier-learning-with-negative-edge-weights-1611.04924"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-orthogonal-feature-projection-for-diagnosing-bias-in-black-box-models-1611.04967</loc><lastmod>2016-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-orthogonal-feature-projection-for-diagnosing-bias-in-black-box-models-1611.04967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-orthogonal-feature-projection-for-diagnosing-bias-in-black-box-models-1611.04967"/></url>
<url><loc>https://scifaro.com/en/abs/pixelvae-a-latent-variable-model-for-natural-images-1611.05013</loc><lastmod>2016-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pixelvae-a-latent-variable-model-for-natural-images-1611.05013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pixelvae-a-latent-variable-model-for-natural-images-1611.05013"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dexterous-manipulation-policies-from-experience-and-imitation-1611.05095</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dexterous-manipulation-policies-from-experience-and-imitation-1611.05095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dexterous-manipulation-policies-from-experience-and-imitation-1611.05095"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rate-of-stochastic-k-means-1611.05132</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rate-of-stochastic-k-means-1611.05132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rate-of-stochastic-k-means-1611.05132"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-approach-for-skill-evaluation-in-robotic-assisted-surgery-1611.05136</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-approach-for-skill-evaluation-in-robotic-assisted-surgery-1611.05136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-approach-for-skill-evaluation-in-robotic-assisted-surgery-1611.05136"/></url>
<url><loc>https://scifaro.com/en/abs/s3pool-pooling-with-stochastic-spatial-sampling-1611.05138</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/s3pool-pooling-with-stochastic-spatial-sampling-1611.05138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/s3pool-pooling-with-stochastic-spatial-sampling-1611.05138"/></url>
<url><loc>https://scifaro.com/en/abs/a-semi-markov-switching-linear-gaussian-model-for-censored-physiological-data-1611.05146</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-semi-markov-switching-linear-gaussian-model-for-censored-physiological-data-1611.05146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-semi-markov-switching-linear-gaussian-model-for-censored-physiological-data-1611.05146"/></url>
<url><loc>https://scifaro.com/en/abs/net-trim-convex-pruning-of-deep-neural-networks-with-performance-guarantee-1611.05162</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/net-trim-convex-pruning-of-deep-neural-networks-with-performance-guarantee-1611.05162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/net-trim-convex-pruning-of-deep-neural-networks-with-performance-guarantee-1611.05162"/></url>
<url><loc>https://scifaro.com/en/abs/graph-learning-from-data-under-structural-and-laplacian-constraints-1611.05181</loc><lastmod>2017-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-learning-from-data-under-structural-and-laplacian-constraints-1611.05181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-learning-from-data-under-structural-and-laplacian-constraints-1611.05181"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-of-hyper-parameters-in-reservoir-computing-1611.05193</loc><lastmod>2017-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-of-hyper-parameters-in-reservoir-computing-1611.05193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-of-hyper-parameters-in-reservoir-computing-1611.05193"/></url>
<url><loc>https://scifaro.com/en/abs/a-learning-scheme-for-microgrid-islanding-and-reconnection-1611.05317</loc><lastmod>2017-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-learning-scheme-for-microgrid-islanding-and-reconnection-1611.05317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-learning-scheme-for-microgrid-islanding-and-reconnection-1611.05317"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-wisdom-of-crowds-using-k-rbms-1611.05340</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-wisdom-of-crowds-using-k-rbms-1611.05340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-wisdom-of-crowds-using-k-rbms-1611.05340"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-convolution-networks-1611.05378</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-convolution-networks-1611.05378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-convolution-networks-1611.05378"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-unsupervised-auxiliary-tasks-1611.05397</loc><lastmod>2016-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-unsupervised-auxiliary-tasks-1611.05397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-unsupervised-auxiliary-tasks-1611.05397"/></url>
<url><loc>https://scifaro.com/en/abs/the-zipml-framework-for-training-models-with-end-to-end-low-precision-the-cans-the-cannots-and-a-little-bit-of-deep-learning-1611.05402</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-zipml-framework-for-training-models-with-end-to-end-low-precision-the-cans-the-cannots-and-a-little-bit-of-deep-learning-1611.05402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-zipml-framework-for-training-models-with-end-to-end-low-precision-the-cans-the-cannots-and-a-little-bit-of-deep-learning-1611.05402"/></url>
<url><loc>https://scifaro.com/en/abs/composing-music-with-grammar-argumented-neural-networks-and-note-level-encoding-1611.05416</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composing-music-with-grammar-argumented-neural-networks-and-note-level-encoding-1611.05416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composing-music-with-grammar-argumented-neural-networks-and-note-level-encoding-1611.05416"/></url>
<url><loc>https://scifaro.com/en/abs/robust-hashing-for-multi-view-data-jointly-learning-low-rank-kernelized-similarity-consensus-and-hash-functions-1611.05521</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-hashing-for-multi-view-data-jointly-learning-low-rank-kernelized-similarity-consensus-and-hash-functions-1611.05521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-hashing-for-multi-view-data-jointly-learning-low-rank-kernelized-similarity-consensus-and-hash-functions-1611.05521"/></url>
<url><loc>https://scifaro.com/en/abs/study-on-feature-subspace-of-archetypal-emotions-for-speech-emotion-recognition-1611.05675</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/study-on-feature-subspace-of-archetypal-emotions-for-speech-emotion-recognition-1611.05675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/study-on-feature-subspace-of-archetypal-emotions-for-speech-emotion-recognition-1611.05675"/></url>
<url><loc>https://scifaro.com/en/abs/unimodal-thompson-sampling-for-graph-structured-arms-1611.05724</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unimodal-thompson-sampling-for-graph-structured-arms-1611.05724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unimodal-thompson-sampling-for-graph-structured-arms-1611.05724"/></url>
<url><loc>https://scifaro.com/en/abs/relational-multi-manifold-co-clustering-1611.05743</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-multi-manifold-co-clustering-1611.05743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-multi-manifold-co-clustering-1611.05743"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-modal-graph-based-semi-supervised-pipeline-for-predicting-cancer-survival-1611.05751</loc><lastmod>2016-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-modal-graph-based-semi-supervised-pipeline-for-predicting-cancer-survival-1611.05751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-modal-graph-based-semi-supervised-pipeline-for-predicting-cancer-survival-1611.05751"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-reinforcement-learn-1611.05763</loc><lastmod>2017-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-reinforcement-learn-1611.05763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-reinforcement-learn-1611.05763"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-mathematical-understanding-of-the-difficulty-in-learning-with-feedforward-neural-networks-1611.05827</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-mathematical-understanding-of-the-difficulty-in-learning-with-feedforward-neural-networks-1611.05827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-mathematical-understanding-of-the-difficulty-in-learning-with-feedforward-neural-networks-1611.05827"/></url>
<url><loc>https://scifaro.com/en/abs/associative-memories-to-accelerate-approximate-nearest-neighbor-search-1611.05898</loc><lastmod>2017-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/associative-memories-to-accelerate-approximate-nearest-neighbor-search-1611.05898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/associative-memories-to-accelerate-approximate-nearest-neighbor-search-1611.05898"/></url>
<url><loc>https://scifaro.com/en/abs/a-characterization-of-prediction-errors-1611.05955</loc><lastmod>2016-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-characterization-of-prediction-errors-1611.05955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-characterization-of-prediction-errors-1611.05955"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-scalable-column-row-sampling-from-corrupted-big-data-1611.05977</loc><lastmod>2016-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-scalable-column-row-sampling-from-corrupted-big-data-1611.05977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-scalable-column-row-sampling-from-corrupted-big-data-1611.05977"/></url>
<url><loc>https://scifaro.com/en/abs/faster-variational-inducing-input-gaussian-process-classification-1611.06132</loc><lastmod>2016-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-variational-inducing-input-gaussian-process-classification-1611.06132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-variational-inducing-input-gaussian-process-classification-1611.06132"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-through-asynchronous-advantage-actor-critic-on-a-gpu-1611.06256</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-through-asynchronous-advantage-actor-critic-on-a-gpu-1611.06256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-through-asynchronous-advantage-actor-critic-on-a-gpu-1611.06256"/></url>
<url><loc>https://scifaro.com/en/abs/cross-model-convolutional-neural-network-for-multiple-modality-data-representation-1611.06306</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-model-convolutional-neural-network-for-multiple-modality-data-representation-1611.06306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-model-convolutional-neural-network-for-multiple-modality-data-representation-1611.06306"/></url>
<url><loc>https://scifaro.com/en/abs/quantized-neural-network-design-under-weight-capacity-constraint-1611.06342</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantized-neural-network-design-under-weight-capacity-constraint-1611.06342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantized-neural-network-design-under-weight-capacity-constraint-1611.06342"/></url>
<url><loc>https://scifaro.com/en/abs/pruning-convolutional-neural-networks-for-resource-efficient-inference-1611.06440</loc><lastmod>2017-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pruning-convolutional-neural-networks-for-resource-efficient-inference-1611.06440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pruning-convolutional-neural-networks-for-resource-efficient-inference-1611.06440"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-classification-from-scratch-with-deep-neural-networks-a-strong-baseline-1611.06455</loc><lastmod>2016-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-classification-from-scratch-with-deep-neural-networks-a-strong-baseline-1611.06455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-classification-from-scratch-with-deep-neural-networks-a-strong-baseline-1611.06455"/></url>
<url><loc>https://scifaro.com/en/abs/dealing-with-range-anxiety-in-mean-estimation-via-statistical-queries-1611.06475</loc><lastmod>2017-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dealing-with-range-anxiety-in-mean-estimation-via-statistical-queries-1611.06475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dealing-with-range-anxiety-in-mean-estimation-via-statistical-queries-1611.06475"/></url>
<url><loc>https://scifaro.com/en/abs/prototypical-recurrent-unit-1611.06530</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prototypical-recurrent-unit-1611.06530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prototypical-recurrent-unit-1611.06530"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-generative-adversarial-nets-with-singular-value-clipping-1611.06624</loc><lastmod>2017-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-generative-adversarial-nets-with-singular-value-clipping-1611.06624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-generative-adversarial-nets-with-singular-value-clipping-1611.06624"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-duality-for-parallel-gibbs-sampling-without-graph-coloring-1611.06684</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-duality-for-parallel-gibbs-sampling-without-graph-coloring-1611.06684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-duality-for-parallel-gibbs-sampling-without-graph-coloring-1611.06684"/></url>
<url><loc>https://scifaro.com/en/abs/effective-deterministic-initialization-for-k-means-like-methods-via-local-density-peaks-searching-1611.06777</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-deterministic-initialization-for-k-means-like-methods-via-local-density-peaks-searching-1611.06777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-deterministic-initialization-for-k-means-like-methods-via-local-density-peaks-searching-1611.06777"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-dropout-1611.06791</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-dropout-1611.06791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-dropout-1611.06791"/></url>
<url><loc>https://scifaro.com/en/abs/options-discovery-with-budgeted-reinforcement-learning-1611.06824</loc><lastmod>2017-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/options-discovery-with-budgeted-reinforcement-learning-1611.06824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/options-discovery-with-budgeted-reinforcement-learning-1611.06824"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-graph-neighborhoods-using-lstms-1611.06882</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-graph-neighborhoods-using-lstms-1611.06882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-graph-neighborhoods-using-lstms-1611.06882"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-for-lexicon-based-classification-1611.06933</loc><lastmod>2016-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-for-lexicon-based-classification-1611.06933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-for-lexicon-based-classification-1611.06933"/></url>
<url><loc>https://scifaro.com/en/abs/associative-adversarial-networks-1611.06953</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/associative-adversarial-networks-1611.06953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/associative-adversarial-networks-1611.06953"/></url>
<url><loc>https://scifaro.com/en/abs/gram-graph-based-attention-model-for-healthcare-representation-learning-1611.07012</loc><lastmod>2017-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gram-graph-based-attention-model-for-healthcare-representation-learning-1611.07012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gram-graph-based-attention-model-for-healthcare-representation-learning-1611.07012"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-training-algorithm-for-kernel-survival-support-vector-machines-1611.07054</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-training-algorithm-for-kernel-survival-support-vector-machines-1611.07054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-training-algorithm-for-kernel-survival-support-vector-machines-1611.07054"/></url>
<url><loc>https://scifaro.com/en/abs/risk-sensitive-learning-and-pricing-for-demand-response-1611.07098</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-sensitive-learning-and-pricing-for-demand-response-1611.07098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-sensitive-learning-and-pricing-for-demand-response-1611.07098"/></url>
<url><loc>https://scifaro.com/en/abs/correlation-clustering-with-low-rank-matrices-1611.07305</loc><lastmod>2017-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlation-clustering-with-low-rank-matrices-1611.07305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlation-clustering-with-low-rank-matrices-1611.07305"/></url>
<url><loc>https://scifaro.com/en/abs/limbo-a-fast-and-flexible-library-for-bayesian-optimization-1611.07343</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limbo-a-fast-and-flexible-library-for-bayesian-optimization-1611.07343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limbo-a-fast-and-flexible-library-for-bayesian-optimization-1611.07343"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-approximation-for-stochastic-control-problems-1611.07422</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-approximation-for-stochastic-control-problems-1611.07422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-approximation-for-stochastic-control-problems-1611.07422"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-non-discrimination-in-data-release-1611.07438</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-non-discrimination-in-data-release-1611.07438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-non-discrimination-in-data-release-1611.07438"/></url>
<url><loc>https://scifaro.com/en/abs/eigenvalues-of-the-hessian-in-deep-learning-singularity-and-beyond-1611.07476</loc><lastmod>2017-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigenvalues-of-the-hessian-in-deep-learning-singularity-and-beyond-1611.07476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigenvalues-of-the-hessian-in-deep-learning-singularity-and-beyond-1611.07476"/></url>
<url><loc>https://scifaro.com/en/abs/variational-intrinsic-control-1611.07507</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-intrinsic-control-1611.07507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-intrinsic-control-1611.07507"/></url>
<url><loc>https://scifaro.com/en/abs/a-causal-framework-for-discovering-and-removing-direct-and-indirect-discrimination-1611.07509</loc><lastmod>2016-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-causal-framework-for-discovering-and-removing-direct-and-indirect-discrimination-1611.07509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-causal-framework-for-discovering-and-removing-direct-and-indirect-discrimination-1611.07509"/></url>
<url><loc>https://scifaro.com/en/abs/improving-efficiency-of-svm-k-fold-cross-validation-by-alpha-seeding-1611.07659</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-efficiency-of-svm-k-fold-cross-validation-by-alpha-seeding-1611.07659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-efficiency-of-svm-k-fold-cross-validation-by-alpha-seeding-1611.07659"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-variational-autoencoder-for-semi-supervised-learning-1611.07800</loc><lastmod>2016-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-variational-autoencoder-for-semi-supervised-learning-1611.07800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-variational-autoencoder-for-semi-supervised-learning-1611.07800"/></url>
<url><loc>https://scifaro.com/en/abs/deep-restricted-boltzmann-networks-1611.07917</loc><lastmod>2016-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-restricted-boltzmann-networks-1611.07917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-restricted-boltzmann-networks-1611.07917"/></url>
<url><loc>https://scifaro.com/en/abs/eegnet-a-compact-convolutional-network-for-eeg-based-brain-computer-interfaces-1611.08024</loc><lastmod>2018-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eegnet-a-compact-convolutional-network-for-eeg-based-brain-computer-interfaces-1611.08024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eegnet-a-compact-convolutional-network-for-eeg-based-brain-computer-interfaces-1611.08024"/></url>
<url><loc>https://scifaro.com/en/abs/multiscale-inverse-reinforcement-learning-using-diffusion-wavelets-1611.08070</loc><lastmod>2016-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiscale-inverse-reinforcement-learning-using-diffusion-wavelets-1611.08070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiscale-inverse-reinforcement-learning-using-diffusion-wavelets-1611.08070"/></url>
<url><loc>https://scifaro.com/en/abs/fast-orthonormal-sparsifying-transforms-based-on-householder-reflectors-1611.08229</loc><lastmod>2016-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-orthonormal-sparsifying-transforms-based-on-householder-reflectors-1611.08229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-orthonormal-sparsifying-transforms-based-on-householder-reflectors-1611.08229"/></url>
<url><loc>https://scifaro.com/en/abs/learning-fast-sparsifying-transforms-1611.08230</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-fast-sparsifying-transforms-1611.08230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-fast-sparsifying-transforms-1611.08230"/></url>
<url><loc>https://scifaro.com/en/abs/on-human-intellect-and-machine-failures-troubleshooting-integrative-machine-learning-systems-1611.08309</loc><lastmod>2016-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-human-intellect-and-machine-failures-troubleshooting-integrative-machine-learning-systems-1611.08309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-human-intellect-and-machine-failures-troubleshooting-integrative-machine-learning-systems-1611.08309"/></url>
<url><loc>https://scifaro.com/en/abs/training-and-evaluating-multimodal-word-embeddings-with-large-scale-web-annotated-images-1611.08321</loc><lastmod>2016-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-and-evaluating-multimodal-word-embeddings-with-large-scale-web-annotated-images-1611.08321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-and-evaluating-multimodal-word-embeddings-with-large-scale-web-annotated-images-1611.08321"/></url>
<url><loc>https://scifaro.com/en/abs/an-overview-on-data-representation-learning-from-traditional-feature-learning-to-recent-deep-learning-1611.08331</loc><lastmod>2016-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-overview-on-data-representation-learning-from-traditional-feature-learning-to-recent-deep-learning-1611.08331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-overview-on-data-representation-learning-from-traditional-feature-learning-to-recent-deep-learning-1611.08331"/></url>
<url><loc>https://scifaro.com/en/abs/training-an-interactive-humanoid-robot-using-multimodal-deep-reinforcement-learning-1611.08666</loc><lastmod>2016-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-an-interactive-humanoid-robot-using-multimodal-deep-reinforcement-learning-1611.08666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-an-interactive-humanoid-robot-using-multimodal-deep-reinforcement-learning-1611.08666"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-on-human-connectome-data-from-mri-1611.08699</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-on-human-connectome-data-from-mri-1611.08699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-on-human-connectome-data-from-mri-1611.08699"/></url>
<url><loc>https://scifaro.com/en/abs/structural-correspondence-learning-for-cross-lingual-sentiment-classification-with-one-to-many-mappings-1611.08737</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-correspondence-learning-for-cross-lingual-sentiment-classification-with-one-to-many-mappings-1611.08737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-correspondence-learning-for-cross-lingual-sentiment-classification-with-one-to-many-mappings-1611.08737"/></url>
<url><loc>https://scifaro.com/en/abs/should-i-use-tensorflow-1611.08903</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/should-i-use-tensorflow-1611.08903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/should-i-use-tensorflow-1611.08903"/></url>
<url><loc>https://scifaro.com/en/abs/times-series-averaging-and-denoising-from-a-probabilistic-perspective-on-time-elastic-kernels-1611.09194</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/times-series-averaging-and-denoising-from-a-probabilistic-perspective-on-time-elastic-kernels-1611.09194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/times-series-averaging-and-denoising-from-a-probabilistic-perspective-on-time-elastic-kernels-1611.09194"/></url>
<url><loc>https://scifaro.com/en/abs/robust-variational-inference-1611.09226</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-variational-inference-1611.09226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-variational-inference-1611.09226"/></url>
<url><loc>https://scifaro.com/en/abs/improving-policy-gradient-by-exploring-under-appreciated-rewards-1611.09321</loc><lastmod>2017-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-policy-gradient-by-exploring-under-appreciated-rewards-1611.09321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-policy-gradient-by-exploring-under-appreciated-rewards-1611.09321"/></url>
<url><loc>https://scifaro.com/en/abs/dictionary-learning-with-equiprobable-matching-pursuit-1611.09333</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dictionary-learning-with-equiprobable-matching-pursuit-1611.09333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dictionary-learning-with-equiprobable-matching-pursuit-1611.09333"/></url>
<url><loc>https://scifaro.com/en/abs/diet-networks-thin-parameters-for-fat-genomics-1611.09340</loc><lastmod>2017-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diet-networks-thin-parameters-for-fat-genomics-1611.09340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diet-networks-thin-parameters-for-fat-genomics-1611.09340"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-multi-domain-multi-task-learning-tensor-and-neural-network-perspectives-1611.09345</loc><lastmod>2016-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-multi-domain-multi-task-learning-tensor-and-neural-network-perspectives-1611.09345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-multi-domain-multi-task-learning-tensor-and-neural-network-perspectives-1611.09345"/></url>
<url><loc>https://scifaro.com/en/abs/the-emergence-of-organizing-structure-in-conceptual-representation-1611.09384</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-emergence-of-organizing-structure-in-conceptual-representation-1611.09384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-emergence-of-organizing-structure-in-conceptual-representation-1611.09384"/></url>
<url><loc>https://scifaro.com/en/abs/cost-sensitive-reference-pair-encoding-for-multi-label-learning-1611.09461</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-sensitive-reference-pair-encoding-for-multi-label-learning-1611.09461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-sensitive-reference-pair-encoding-for-multi-label-learning-1611.09461"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-manifold-frequency-analysis-for-denoising-1611.09510</loc><lastmod>2016-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-manifold-frequency-analysis-for-denoising-1611.09510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-manifold-frequency-analysis-for-denoising-1611.09510"/></url>
<url><loc>https://scifaro.com/en/abs/improving-variational-auto-encoders-using-householder-flow-1611.09630</loc><lastmod>2017-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-variational-auto-encoders-using-householder-flow-1611.09630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-variational-auto-encoders-using-householder-flow-1611.09630"/></url>
<url><loc>https://scifaro.com/en/abs/less-is-more-learning-prominent-and-diverse-topics-for-data-summarization-1611.09921</loc><lastmod>2016-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/less-is-more-learning-prominent-and-diverse-topics-for-data-summarization-1611.09921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/less-is-more-learning-prominent-and-diverse-topics-for-data-summarization-1611.09921"/></url>
<url><loc>https://scifaro.com/en/abs/active-deep-learning-for-classification-of-hyperspectral-images-1611.10031</loc><lastmod>2016-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-deep-learning-for-classification-of-hyperspectral-images-1611.10031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-deep-learning-for-classification-of-hyperspectral-images-1611.10031"/></url>
<url><loc>https://scifaro.com/en/abs/effective-quantization-methods-for-recurrent-neural-networks-1611.10176</loc><lastmod>2016-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-quantization-methods-for-recurrent-neural-networks-1611.10176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-quantization-methods-for-recurrent-neural-networks-1611.10176"/></url>
<url><loc>https://scifaro.com/en/abs/unit-commitment-using-nearest-neighbor-as-a-short-term-proxy-1611.10215</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unit-commitment-using-nearest-neighbor-as-a-short-term-proxy-1611.10215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unit-commitment-using-nearest-neighbor-as-a-short-term-proxy-1611.10215"/></url>
<url><loc>https://scifaro.com/en/abs/behavior-based-machine-learning-a-hybrid-approach-for-predicting-human-decision-making-1611.10228</loc><lastmod>2016-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/behavior-based-machine-learning-a-hybrid-approach-for-predicting-human-decision-making-1611.10228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/behavior-based-machine-learning-a-hybrid-approach-for-predicting-human-decision-making-1611.10228"/></url>
<url><loc>https://scifaro.com/en/abs/reliably-learning-the-relu-in-polynomial-time-1611.10258</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliably-learning-the-relu-in-polynomial-time-1611.10258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliably-learning-the-relu-in-polynomial-time-1611.10258"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-algorithms-to-emulate-human-decision-making-using-probabilistic-distortions-1611.10283</loc><lastmod>2023-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-algorithms-to-emulate-human-decision-making-using-probabilistic-distortions-1611.10283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-algorithms-to-emulate-human-decision-making-using-probabilistic-distortions-1611.10283"/></url>
<url><loc>https://scifaro.com/en/abs/the-observer-assisted-method-for-adjusting-hyper-parameters-in-deep-learning-algorithms-1611.10328</loc><lastmod>2016-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-observer-assisted-method-for-adjusting-hyper-parameters-in-deep-learning-algorithms-1611.10328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-observer-assisted-method-for-adjusting-hyper-parameters-in-deep-learning-algorithms-1611.10328"/></url>
<url><loc>https://scifaro.com/en/abs/joint-causal-inference-from-multiple-contexts-1611.10351</loc><lastmod>2020-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-causal-inference-from-multiple-contexts-1611.10351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-causal-inference-from-multiple-contexts-1611.10351"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-kernel-metric-learning-using-relative-comparisons-1612.00086</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-kernel-metric-learning-using-relative-comparisons-1612.00086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-kernel-metric-learning-using-relative-comparisons-1612.00086"/></url>
<url><loc>https://scifaro.com/en/abs/noise-tolerant-life-long-matrix-completion-via-adaptive-sampling-1612.00100</loc><lastmod>2016-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-tolerant-life-long-matrix-completion-via-adaptive-sampling-1612.00100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-tolerant-life-long-matrix-completion-via-adaptive-sampling-1612.00100"/></url>
<url><loc>https://scifaro.com/en/abs/when-to-reset-your-keys-optimal-timing-of-security-updates-via-learning-1612.00108</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-to-reset-your-keys-optimal-timing-of-security-updates-via-learning-1612.00108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-to-reset-your-keys-optimal-timing-of-security-updates-via-learning-1612.00108"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-method-for-classification-of-datasets-for-data-mining-1612.00151</loc><lastmod>2016-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-method-for-classification-of-datasets-for-data-mining-1612.00151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-method-for-classification-of-datasets-for-data-mining-1612.00151"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-orthogonal-parametrisation-of-recurrent-neural-networks-using-householder-reflections-1612.00188</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-orthogonal-parametrisation-of-recurrent-neural-networks-using-householder-reflections-1612.00188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-orthogonal-parametrisation-of-recurrent-neural-networks-using-householder-reflections-1612.00188"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretical-framework-for-robustness-of-deep-classifiers-against-adversarial-examples-1612.00334</loc><lastmod>2017-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-framework-for-robustness-of-deep-classifiers-against-adversarial-examples-1612.00334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-framework-for-robustness-of-deep-classifiers-against-adversarial-examples-1612.00334"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-validation-of-counterfactual-learning-methods-a-test-bed-1612.00367</loc><lastmod>2017-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-validation-of-counterfactual-learning-methods-a-test-bed-1612.00367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-validation-of-counterfactual-learning-methods-a-test-bed-1612.00367"/></url>
<url><loc>https://scifaro.com/en/abs/deep-variational-information-bottleneck-1612.00410</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-variational-information-bottleneck-1612.00410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-variational-information-bottleneck-1612.00410"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-skills-with-semi-supervised-reinforcement-learning-1612.00429</loc><lastmod>2017-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-skills-with-semi-supervised-reinforcement-learning-1612.00429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-skills-with-semi-supervised-reinforcement-learning-1612.00429"/></url>
<url><loc>https://scifaro.com/en/abs/a-noise-filtering-approach-for-cancer-drug-sensitivity-prediction-1612.00525</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-noise-filtering-approach-for-cancer-drug-sensitivity-prediction-1612.00525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-noise-filtering-approach-for-cancer-drug-sensitivity-prediction-1612.00525"/></url>
<url><loc>https://scifaro.com/en/abs/higher-order-mutual-information-approximation-for-feature-selection-1612.00554</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higher-order-mutual-information-approximation-for-feature-selection-1612.00554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higher-order-mutual-information-approximation-for-feature-selection-1612.00554"/></url>
<url><loc>https://scifaro.com/en/abs/self-critical-sequence-training-for-image-captioning-1612.00563</loc><lastmod>2017-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-critical-sequence-training-for-image-captioning-1612.00563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-critical-sequence-training-for-image-captioning-1612.00563"/></url>
<url><loc>https://scifaro.com/en/abs/development-of-a-hybrid-learning-system-based-on-svm-anfis-and-domain-knowledge-dkfis-1612.00585</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/development-of-a-hybrid-learning-system-based-on-svm-anfis-and-domain-knowledge-dkfis-1612.00585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/development-of-a-hybrid-learning-system-based-on-svm-anfis-and-domain-knowledge-dkfis-1612.00585"/></url>
<url><loc>https://scifaro.com/en/abs/communication-lower-bounds-for-distributed-convex-optimization-partition-data-on-features-1612.00599</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-lower-bounds-for-distributed-convex-optimization-partition-data-on-features-1612.00599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-lower-bounds-for-distributed-convex-optimization-partition-data-on-features-1612.00599"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-clinical-decision-support-system-with-rnn-encoding-and-tensor-decoding-1612.00611</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-clinical-decision-support-system-with-rnn-encoding-and-tensor-decoding-1612.00611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-clinical-decision-support-system-with-rnn-encoding-and-tensor-decoding-1612.00611"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-for-density-based-time-series-clustering-exploiting-a-novel-admissible-pruning-strategy-1612.00637</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-for-density-based-time-series-clustering-exploiting-a-novel-admissible-pruning-strategy-1612.00637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-for-density-based-time-series-clustering-exploiting-a-novel-admissible-pruning-strategy-1612.00637"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-and-categorizing-anomalies-in-retinal-imaging-data-1612.00686</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-and-categorizing-anomalies-in-retinal-imaging-data-1612.00686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-and-categorizing-anomalies-in-retinal-imaging-data-1612.00686"/></url>
<url><loc>https://scifaro.com/en/abs/cognitive-deep-machine-can-train-itself-1612.00745</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cognitive-deep-machine-can-train-itself-1612.00745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cognitive-deep-machine-can-train-itself-1612.00745"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-in-neural-networks-1612.00796</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-in-neural-networks-1612.00796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-in-neural-networks-1612.00796"/></url>
<url><loc>https://scifaro.com/en/abs/summary-terpret-a-probabilistic-programming-language-for-program-induction-1612.00817</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/summary-terpret-a-probabilistic-programming-language-for-program-induction-1612.00817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/summary-terpret-a-probabilistic-programming-language-for-program-induction-1612.00817"/></url>
<url><loc>https://scifaro.com/en/abs/learning-operations-on-a-stack-with-neural-turing-machines-1612.00827</loc><lastmod>2016-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-operations-on-a-stack-with-neural-turing-machines-1612.00827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-operations-on-a-stack-with-neural-turing-machines-1612.00827"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-multiclasssvm-based-framework-to-classify-lithology-from-well-logs-a-real-world-application-1612.00840</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-multiclasssvm-based-framework-to-classify-lithology-from-well-logs-a-real-world-application-1612.00840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-multiclasssvm-based-framework-to-classify-lithology-from-well-logs-a-real-world-application-1612.00840"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-framework-based-on-svdd-to-classify-water-saturation-from-seismic-attributes-1612.00841</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-framework-based-on-svdd-to-classify-water-saturation-from-seismic-attributes-1612.00841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-framework-based-on-svdd-to-classify-water-saturation-from-seismic-attributes-1612.00841"/></url>
<url><loc>https://scifaro.com/en/abs/success-probability-of-exploration-a-concrete-analysis-of-learning-efficiency-1612.00882</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/success-probability-of-exploration-a-concrete-analysis-of-learning-efficiency-1612.00882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/success-probability-of-exploration-a-concrete-analysis-of-learning-efficiency-1612.00882"/></url>
<url><loc>https://scifaro.com/en/abs/positive-blood-culture-detection-in-time-series-data-using-a-bilstm-network-1612.00962</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/positive-blood-culture-detection-in-time-series-data-using-a-bilstm-network-1612.00962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/positive-blood-culture-detection-in-time-series-data-using-a-bilstm-network-1612.00962"/></url>
<url><loc>https://scifaro.com/en/abs/trained-ternary-quantization-1612.01064</loc><lastmod>2017-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trained-ternary-quantization-1612.01064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trained-ternary-quantization-1612.01064"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-superoptimize-programs-workshop-version-1612.01094</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-superoptimize-programs-workshop-version-1612.01094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-superoptimize-programs-workshop-version-1612.01094"/></url>
<url><loc>https://scifaro.com/en/abs/robust-nonparametric-nearest-neighbor-random-process-clustering-1612.01103</loc><lastmod>2017-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-nonparametric-nearest-neighbor-random-process-clustering-1612.01103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-nonparametric-nearest-neighbor-random-process-clustering-1612.01103"/></url>
<url><loc>https://scifaro.com/en/abs/deep-symbolic-representation-learning-for-heterogeneous-time-series-classification-1612.01254</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-symbolic-representation-learning-for-heterogeneous-time-series-classification-1612.01254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-symbolic-representation-learning-for-heterogeneous-time-series-classification-1612.01254"/></url>
<url><loc>https://scifaro.com/en/abs/cryptocurrency-portfolio-management-with-deep-reinforcement-learning-1612.01277</loc><lastmod>2017-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cryptocurrency-portfolio-management-with-deep-reinforcement-learning-1612.01277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cryptocurrency-portfolio-management-with-deep-reinforcement-learning-1612.01277"/></url>
<url><loc>https://scifaro.com/en/abs/a-one-class-classifier-based-framework-using-svdd-application-to-an-imbalanced-geological-dataset-1612.01349</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-one-class-classifier-based-framework-using-svdd-application-to-an-imbalanced-geological-dataset-1612.01349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-one-class-classifier-based-framework-using-svdd-application-to-an-imbalanced-geological-dataset-1612.01349"/></url>
<url><loc>https://scifaro.com/en/abs/diagnostic-prediction-using-discomfort-drawings-1612.01356</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diagnostic-prediction-using-discomfort-drawings-1612.01356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diagnostic-prediction-using-discomfort-drawings-1612.01356"/></url>
<url><loc>https://scifaro.com/en/abs/an-asymptotically-optimal-contextual-bandit-algorithm-using-hierarchical-structures-1612.01367</loc><lastmod>2017-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-asymptotically-optimal-contextual-bandit-algorithm-using-hierarchical-structures-1612.01367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-asymptotically-optimal-contextual-bandit-algorithm-using-hierarchical-structures-1612.01367"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-modeling-a-generalization-of-discriminative-and-generative-approaches-1612.01397</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-modeling-a-generalization-of-discriminative-and-generative-approaches-1612.01397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-modeling-a-generalization-of-discriminative-and-generative-approaches-1612.01397"/></url>
<url><loc>https://scifaro.com/en/abs/learning-adversary-resistant-deep-neural-networks-1612.01401</loc><lastmod>2017-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-adversary-resistant-deep-neural-networks-1612.01401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-adversary-resistant-deep-neural-networks-1612.01401"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-via-sparse-label-propagation-1612.01414</loc><lastmod>2017-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-via-sparse-label-propagation-1612.01414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-via-sparse-label-propagation-1612.01414"/></url>
<url><loc>https://scifaro.com/en/abs/zeroth-order-asynchronous-doubly-stochastic-algorithm-with-variance-reduction-1612.01425</loc><lastmod>2016-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zeroth-order-asynchronous-doubly-stochastic-algorithm-with-variance-reduction-1612.01425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zeroth-order-asynchronous-doubly-stochastic-algorithm-with-variance-reduction-1612.01425"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-rbf-kernel-for-incomplete-data-1612.01480</loc><lastmod>2017-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-rbf-kernel-for-incomplete-data-1612.01480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-rbf-kernel-for-incomplete-data-1612.01480"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-performance-of-neural-networks-in-regression-tasks-using-drawering-1612.01589</loc><lastmod>2016-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-performance-of-neural-networks-in-regression-tasks-using-drawering-1612.01589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-performance-of-neural-networks-in-regression-tasks-using-drawering-1612.01589"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-non-oblivious-randomized-reduction-for-risk-minimization-with-improved-excess-risk-guarantee-1612.01663</loc><lastmod>2016-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-non-oblivious-randomized-reduction-for-risk-minimization-with-improved-excess-risk-guarantee-1612.01663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-non-oblivious-randomized-reduction-for-risk-minimization-with-improved-excess-risk-guarantee-1612.01663"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-mechanics-of-unsupervised-feature-learning-in-a-restricted-boltzmann-machine-with-binary-synapses-1612.01717</loc><lastmod>2017-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-mechanics-of-unsupervised-feature-learning-in-a-restricted-boltzmann-machine-with-binary-synapses-1612.01717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-mechanics-of-unsupervised-feature-learning-in-a-restricted-boltzmann-machine-with-binary-synapses-1612.01717"/></url>
<url><loc>https://scifaro.com/en/abs/factored-contextual-policy-search-with-bayesian-optimization-1612.01746</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factored-contextual-policy-search-with-bayesian-optimization-1612.01746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factored-contextual-policy-search-with-bayesian-optimization-1612.01746"/></url>
<url><loc>https://scifaro.com/en/abs/video-ladder-networks-1612.01756</loc><lastmod>2017-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/video-ladder-networks-1612.01756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/video-ladder-networks-1612.01756"/></url>
<url><loc>https://scifaro.com/en/abs/control-matching-via-discharge-code-sequences-1612.01812</loc><lastmod>2016-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/control-matching-via-discharge-code-sequences-1612.01812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/control-matching-via-discharge-code-sequences-1612.01812"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-semi-bandit-with-known-covariance-1612.01859</loc><lastmod>2016-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-semi-bandit-with-known-covariance-1612.01859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-semi-bandit-with-known-covariance-1612.01859"/></url>
<url><loc>https://scifaro.com/en/abs/local-group-invariant-representations-via-orbit-embeddings-1612.01988</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-group-invariant-representations-via-orbit-embeddings-1612.01988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-group-invariant-representations-via-orbit-embeddings-1612.01988"/></url>
<url><loc>https://scifaro.com/en/abs/mode-regularized-generative-adversarial-networks-1612.02136</loc><lastmod>2017-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mode-regularized-generative-adversarial-networks-1612.02136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mode-regularized-generative-adversarial-networks-1612.02136"/></url>
<url><loc>https://scifaro.com/en/abs/a-communication-efficient-parallel-method-for-group-lasso-1612.02222</loc><lastmod>2016-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-communication-efficient-parallel-method-for-group-lasso-1612.02222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-communication-efficient-parallel-method-for-group-lasso-1612.02222"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-medical-data-inference-to-achilles-tendon-rupture-rehabilitation-1612.02490</loc><lastmod>2016-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-medical-data-inference-to-achilles-tendon-rupture-rehabilitation-1612.02490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-medical-data-inference-to-achilles-tendon-rupture-rehabilitation-1612.02490"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-with-a-short-memory-1612.02526</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-with-a-short-memory-1612.02526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-with-a-short-memory-1612.02526"/></url>
<url><loc>https://scifaro.com/en/abs/towards-information-seeking-agents-1612.02605</loc><lastmod>2016-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-information-seeking-agents-1612.02605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-information-seeking-agents-1612.02605"/></url>
<url><loc>https://scifaro.com/en/abs/crowdmi-multiple-imputation-via-crowdsourcing-1612.02707</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crowdmi-multiple-imputation-via-crowdsourcing-1612.02707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crowdmi-multiple-imputation-via-crowdsourcing-1612.02707"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-the-machine-random-backpropagation-and-the-deep-learning-channel-1612.02734</loc><lastmod>2017-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-the-machine-random-backpropagation-and-the-deep-learning-channel-1612.02734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-the-machine-random-backpropagation-and-the-deep-learning-channel-1612.02734"/></url>
<url><loc>https://scifaro.com/en/abs/coupling-distributed-and-symbolic-execution-for-natural-language-queries-1612.02741</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupling-distributed-and-symbolic-execution-for-natural-language-queries-1612.02741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupling-distributed-and-symbolic-execution-for-natural-language-queries-1612.02741"/></url>
<url><loc>https://scifaro.com/en/abs/improved-generator-objectives-for-gans-1612.02780</loc><lastmod>2016-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-generator-objectives-for-gans-1612.02780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-generator-objectives-for-gans-1612.02780"/></url>
<url><loc>https://scifaro.com/en/abs/interactive-prior-elicitation-of-feature-similarities-for-small-sample-size-prediction-1612.02802</loc><lastmod>2017-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interactive-prior-elicitation-of-feature-similarities-for-small-sample-size-prediction-1612.02802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interactive-prior-elicitation-of-feature-similarities-for-small-sample-size-prediction-1612.02802"/></url>
<url><loc>https://scifaro.com/en/abs/the-physical-systems-behind-optimization-algorithms-1612.02803</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-physical-systems-behind-optimization-algorithms-1612.02803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-physical-systems-behind-optimization-algorithms-1612.02803"/></url>
<url><loc>https://scifaro.com/en/abs/task-guided-and-path-augmented-heterogeneous-network-embedding-for-author-identification-1612.02814</loc><lastmod>2016-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-guided-and-path-augmented-heterogeneous-network-embedding-for-author-identification-1612.02814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-guided-and-path-augmented-heterogeneous-network-embedding-for-author-identification-1612.02814"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-by-stochastic-meta-gradient-descent-in-neural-networks-1612.02879</loc><lastmod>2017-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-by-stochastic-meta-gradient-descent-in-neural-networks-1612.02879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-by-stochastic-meta-gradient-descent-in-neural-networks-1612.02879"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-intelligent-practices-for-irrigation-prediction-1612.02893</loc><lastmod>2016-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-intelligent-practices-for-irrigation-prediction-1612.02893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-intelligent-practices-for-irrigation-prediction-1612.02893"/></url>
<url><loc>https://scifaro.com/en/abs/environmental-modeling-framework-using-stacked-gaussian-processes-1612.02897</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/environmental-modeling-framework-using-stacked-gaussian-processes-1612.02897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/environmental-modeling-framework-using-stacked-gaussian-processes-1612.02897"/></url>
<url><loc>https://scifaro.com/en/abs/advancing-bayesian-optimization-the-mixed-global-local-mgl-kernel-and-length-scale-cool-down-1612.03117</loc><lastmod>2016-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advancing-bayesian-optimization-the-mixed-global-local-mgl-kernel-and-length-scale-cool-down-1612.03117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advancing-bayesian-optimization-the-mixed-global-local-mgl-kernel-and-length-scale-cool-down-1612.03117"/></url>
<url><loc>https://scifaro.com/en/abs/square-hellinger-subadditivity-for-bayesian-networks-and-its-applications-to-identity-testing-1612.03164</loc><lastmod>2016-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/square-hellinger-subadditivity-for-bayesian-networks-and-its-applications-to-identity-testing-1612.03164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/square-hellinger-subadditivity-for-bayesian-networks-and-its-applications-to-identity-testing-1612.03164"/></url>
<url><loc>https://scifaro.com/en/abs/towards-deep-learning-with-spiking-neurons-in-energy-based-models-with-contrastive-hebbian-plasticity-1612.03214</loc><lastmod>2016-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-deep-learning-with-spiking-neurons-in-energy-based-models-with-contrastive-hebbian-plasticity-1612.03214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-deep-learning-with-spiking-neurons-in-energy-based-models-with-contrastive-hebbian-plasticity-1612.03214"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-generalized-decision-trees-via-integer-programming-1612.03225</loc><lastmod>2019-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-generalized-decision-trees-via-integer-programming-1612.03225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-generalized-decision-trees-via-integer-programming-1612.03225"/></url>
<url><loc>https://scifaro.com/en/abs/technical-report-a-generalized-matching-pursuit-approach-for-graph-structured-sparsity-1612.03364</loc><lastmod>2016-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/technical-report-a-generalized-matching-pursuit-approach-for-graph-structured-sparsity-1612.03364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/technical-report-a-generalized-matching-pursuit-approach-for-graph-structured-sparsity-1612.03364"/></url>
<url><loc>https://scifaro.com/en/abs/non-redundant-spectral-dimensionality-reduction-1612.03412</loc><lastmod>2018-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-redundant-spectral-dimensionality-reduction-1612.03412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-redundant-spectral-dimensionality-reduction-1612.03412"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-subspace-clustering-via-matching-pursuits-1612.03450</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-subspace-clustering-via-matching-pursuits-1612.03450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-subspace-clustering-via-matching-pursuits-1612.03450"/></url>
<url><loc>https://scifaro.com/en/abs/self-calibrating-neural-networks-for-dimensionality-reduction-1612.03480</loc><lastmod>2017-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-calibrating-neural-networks-for-dimensionality-reduction-1612.03480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-calibrating-neural-networks-for-dimensionality-reduction-1612.03480"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-reconstruction-of-space-time-functions-on-dynamic-graphs-1612.03615</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-reconstruction-of-space-time-functions-on-dynamic-graphs-1612.03615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-reconstruction-of-space-time-functions-on-dynamic-graphs-1612.03615"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-decompositions-via-two-mode-higher-order-svd-hosvd-1612.03839</loc><lastmod>2017-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-decompositions-via-two-mode-higher-order-svd-hosvd-1612.03839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-decompositions-via-two-mode-higher-order-svd-hosvd-1612.03839"/></url>
<url><loc>https://scifaro.com/en/abs/design-of-data-driven-mathematical-laws-for-optimal-statistical-classification-systems-1612.03902</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/design-of-data-driven-mathematical-laws-for-optimal-statistical-classification-systems-1612.03902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/design-of-data-driven-mathematical-laws-for-optimal-statistical-classification-systems-1612.03902"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-release-sources-in-advection-diffusion-system-by-machine-learning-combined-with-green-function-inverse-method-1612.03948</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-release-sources-in-advection-diffusion-system-by-machine-learning-combined-with-green-function-inverse-method-1612.03948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-release-sources-in-advection-diffusion-system-by-machine-learning-combined-with-green-function-inverse-method-1612.03948"/></url>
<url><loc>https://scifaro.com/en/abs/nonnegative-matrix-factorization-for-identification-of-unknown-number-of-sources-emitting-delayed-signals-1612.03950</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonnegative-matrix-factorization-for-identification-of-unknown-number-of-sources-emitting-delayed-signals-1612.03950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonnegative-matrix-factorization-for-identification-of-unknown-number-of-sources-emitting-delayed-signals-1612.03950"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-analysis-of-the-optimization-of-deep-network-loss-surfaces-1612.04010</loc><lastmod>2017-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-analysis-of-the-optimization-of-deep-network-loss-surfaces-1612.04010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-analysis-of-the-optimization-of-deep-network-loss-surfaces-1612.04010"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-parallelization-1612.04021</loc><lastmod>2016-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-parallelization-1612.04021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-parallelization-1612.04021"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-multi-task-relationship-learning-1612.04022</loc><lastmod>2017-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-multi-task-relationship-learning-1612.04022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-multi-task-relationship-learning-1612.04022"/></url>
<url><loc>https://scifaro.com/en/abs/dizzyrnn-reparameterizing-recurrent-neural-networks-for-norm-preserving-backpropagation-1612.04035</loc><lastmod>2016-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dizzyrnn-reparameterizing-recurrent-neural-networks-for-norm-preserving-backpropagation-1612.04035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dizzyrnn-reparameterizing-recurrent-neural-networks-for-norm-preserving-backpropagation-1612.04035"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-process-behaviour-using-deep-learning-1612.04600</loc><lastmod>2017-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-process-behaviour-using-deep-learning-1612.04600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-process-behaviour-using-deep-learning-1612.04600"/></url>
<url><loc>https://scifaro.com/en/abs/an-architecture-for-deep-hierarchical-generative-models-1612.04739</loc><lastmod>2016-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-architecture-for-deep-hierarchical-generative-models-1612.04739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-architecture-for-deep-hierarchical-generative-models-1612.04739"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-using-the-knowledge-based-temporal-abstraction-method-1612.04804</loc><lastmod>2016-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-using-the-knowledge-based-temporal-abstraction-method-1612.04804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-using-the-knowledge-based-temporal-abstraction-method-1612.04804"/></url>
<url><loc>https://scifaro.com/en/abs/constraint-selection-in-metric-learning-1612.04853</loc><lastmod>2016-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constraint-selection-in-metric-learning-1612.04853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constraint-selection-in-metric-learning-1612.04853"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-for-machine-learning-a-practical-guidebook-1612.04858</loc><lastmod>2016-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-for-machine-learning-a-practical-guidebook-1612.04858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-for-machine-learning-a-practical-guidebook-1612.04858"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-driven-compressive-sensing-framework-tailored-for-energy-efficient-wearable-sensing-1612.04887</loc><lastmod>2016-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-driven-compressive-sensing-framework-tailored-for-energy-efficient-wearable-sensing-1612.04887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-driven-compressive-sensing-framework-tailored-for-energy-efficient-wearable-sensing-1612.04887"/></url>
<url><loc>https://scifaro.com/en/abs/towards-score-following-in-sheet-music-images-1612.05050</loc><lastmod>2016-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-score-following-in-sheet-music-images-1612.05050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-score-following-in-sheet-music-images-1612.05050"/></url>
<url><loc>https://scifaro.com/en/abs/a-fully-convolutional-deep-auditory-model-for-musical-chord-recognition-1612.05082</loc><lastmod>2016-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fully-convolutional-deep-auditory-model-for-musical-chord-recognition-1612.05082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fully-convolutional-deep-auditory-model-for-musical-chord-recognition-1612.05082"/></url>
<url><loc>https://scifaro.com/en/abs/coupling-adaptive-batch-sizes-with-learning-rates-1612.05086</loc><lastmod>2017-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupling-adaptive-batch-sizes-with-learning-rates-1612.05086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupling-adaptive-batch-sizes-with-learning-rates-1612.05086"/></url>
<url><loc>https://scifaro.com/en/abs/separation-of-concerns-in-reinforcement-learning-1612.05159</loc><lastmod>2017-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/separation-of-concerns-in-reinforcement-learning-1612.05159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/separation-of-concerns-in-reinforcement-learning-1612.05159"/></url>
<url><loc>https://scifaro.com/en/abs/tunable-efficient-unitary-neural-networks-eunn-and-their-application-to-rnns-1612.05231</loc><lastmod>2017-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tunable-efficient-unitary-neural-networks-eunn-and-their-application-to-rnns-1612.05231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tunable-efficient-unitary-neural-networks-eunn-and-their-application-to-rnns-1612.05231"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-time-series-phenotyping-using-massive-feature-extraction-1612.05296</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-time-series-phenotyping-using-massive-feature-extraction-1612.05296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-time-series-phenotyping-using-massive-feature-extraction-1612.05296"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-inductive-biases-for-factorial-representation-learning-1612.05299</loc><lastmod>2016-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-inductive-biases-for-factorial-representation-learning-1612.05299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-inductive-biases-for-factorial-representation-learning-1612.05299"/></url>
<url><loc>https://scifaro.com/en/abs/projected-semi-stochastic-gradient-descent-method-with-mini-batch-scheme-under-weak-strong-convexity-assumption-1612.05356</loc><lastmod>2017-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projected-semi-stochastic-gradient-descent-method-with-mini-batch-scheme-under-weak-strong-convexity-assumption-1612.05356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projected-semi-stochastic-gradient-descent-method-with-mini-batch-scheme-under-weak-strong-convexity-assumption-1612.05356"/></url>
<url><loc>https://scifaro.com/en/abs/defensive-player-classification-in-the-national-basketball-association-1612.05502</loc><lastmod>2017-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defensive-player-classification-in-the-national-basketball-association-1612.05502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defensive-player-classification-in-the-national-basketball-association-1612.05502"/></url>
<url><loc>https://scifaro.com/en/abs/models-networks-and-algorithmic-complexity-1612.05627</loc><lastmod>2016-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/models-networks-and-algorithmic-complexity-1612.05627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/models-networks-and-algorithmic-complexity-1612.05627"/></url>
<url><loc>https://scifaro.com/en/abs/a-user-simulator-for-task-completion-dialogues-1612.05688</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-user-simulator-for-task-completion-dialogues-1612.05688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-user-simulator-for-task-completion-dialogues-1612.05688"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-linear-and-bayesian-models-for-logistic-regression-in-failure-detection-problems-1612.05740</loc><lastmod>2016-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-linear-and-bayesian-models-for-logistic-regression-in-failure-detection-problems-1612.05740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-linear-and-bayesian-models-for-logistic-regression-in-failure-detection-problems-1612.05740"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-recurrent-neural-network-based-predictive-model-for-faecal-calprotectin-analysis-a-retrospective-study-1612.05794</loc><lastmod>2016-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-recurrent-neural-network-based-predictive-model-for-faecal-calprotectin-analysis-a-retrospective-study-1612.05794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-recurrent-neural-network-based-predictive-model-for-faecal-calprotectin-analysis-a-retrospective-study-1612.05794"/></url>
<url><loc>https://scifaro.com/en/abs/building-diversified-multiple-trees-for-classification-in-high-dimensional-noisy-biomedical-data-1612.05888</loc><lastmod>2017-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-diversified-multiple-trees-for-classification-in-high-dimensional-noisy-biomedical-data-1612.05888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-diversified-multiple-trees-for-classification-in-high-dimensional-noisy-biomedical-data-1612.05888"/></url>
<url><loc>https://scifaro.com/en/abs/inexact-proximal-gradient-methods-for-non-convex-and-non-smooth-optimization-1612.06003</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inexact-proximal-gradient-methods-for-non-convex-and-non-smooth-optimization-1612.06003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inexact-proximal-gradient-methods-for-non-convex-and-non-smooth-optimization-1612.06003"/></url>
<url><loc>https://scifaro.com/en/abs/self-correcting-models-for-model-based-reinforcement-learning-1612.06018</loc><lastmod>2017-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-correcting-models-for-model-based-reinforcement-learning-1612.06018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-correcting-models-for-model-based-reinforcement-learning-1612.06018"/></url>
<url><loc>https://scifaro.com/en/abs/quantization-and-training-of-low-bit-width-convolutional-neural-networks-for-object-detection-1612.06052</loc><lastmod>2017-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantization-and-training-of-low-bit-width-convolutional-neural-networks-for-object-detection-1612.06052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantization-and-training-of-low-bit-width-convolutional-neural-networks-for-object-detection-1612.06052"/></url>
<url><loc>https://scifaro.com/en/abs/corralling-a-band-of-bandit-algorithms-1612.06246</loc><lastmod>2017-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/corralling-a-band-of-bandit-algorithms-1612.06246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/corralling-a-band-of-bandit-algorithms-1612.06246"/></url>
<url><loc>https://scifaro.com/en/abs/simple-black-box-adversarial-perturbations-for-deep-networks-1612.06299</loc><lastmod>2016-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-black-box-adversarial-perturbations-for-deep-networks-1612.06299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-black-box-adversarial-perturbations-for-deep-networks-1612.06299"/></url>
<url><loc>https://scifaro.com/en/abs/parallelized-tensor-train-learning-of-polynomial-classifiers-1612.06505</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelized-tensor-train-learning-of-polynomial-classifiers-1612.06505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelized-tensor-train-learning-of-polynomial-classifiers-1612.06505"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-learning-for-optimal-power-flow-as-a-real-time-proxy-1612.06623</loc><lastmod>2016-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-learning-for-optimal-power-flow-as-a-real-time-proxy-1612.06623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-learning-for-optimal-power-flow-as-a-real-time-proxy-1612.06623"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-industrial-time-series-with-cyber-attack-simulation-fault-detection-using-an-lstm-based-predictive-data-model-1612.06676</loc><lastmod>2016-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-industrial-time-series-with-cyber-attack-simulation-fault-detection-using-an-lstm-based-predictive-data-model-1612.06676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-industrial-time-series-with-cyber-attack-simulation-fault-detection-using-an-lstm-based-predictive-data-model-1612.06676"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-feature-selection-on-networked-time-series-1612.06856</loc><lastmod>2016-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-feature-selection-on-networked-time-series-1612.06856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-feature-selection-on-networked-time-series-1612.06856"/></url>
<url><loc>https://scifaro.com/en/abs/robust-classification-of-graph-based-data-1612.07141</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-classification-of-graph-based-data-1612.07141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-classification-of-graph-based-data-1612.07141"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-filtering-with-user-item-co-autoregressive-models-1612.07146</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-filtering-with-user-item-co-autoregressive-models-1612.07146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-filtering-with-user-item-co-autoregressive-models-1612.07146"/></url>
<url><loc>https://scifaro.com/en/abs/loss-is-its-own-reward-self-supervision-for-reinforcement-learning-1612.07307</loc><lastmod>2017-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-is-its-own-reward-self-supervision-for-reinforcement-learning-1612.07307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-is-its-own-reward-self-supervision-for-reinforcement-learning-1612.07307"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-unusual-input-output-associations-in-multivariate-conditional-data-1612.07374</loc><lastmod>2016-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-unusual-input-output-associations-in-multivariate-conditional-data-1612.07374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-unusual-input-output-associations-in-multivariate-conditional-data-1612.07374"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-train-your-deep-neural-network-with-dictionary-learning-1612.07454</loc><lastmod>2016-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-train-your-deep-neural-network-with-dictionary-learning-1612.07454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-train-your-deep-neural-network-with-dictionary-learning-1612.07454"/></url>
<url><loc>https://scifaro.com/en/abs/on-coreset-constructions-for-the-fuzzy-k-means-problem-1612.07516</loc><lastmod>2018-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-coreset-constructions-for-the-fuzzy-k-means-problem-1612.07516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-coreset-constructions-for-the-fuzzy-k-means-problem-1612.07516"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-function-approximation-error-for-risk-sensitive-reinforcement-learning-1612.07562</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-function-approximation-error-for-risk-sensitive-reinforcement-learning-1612.07562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-function-approximation-error-for-risk-sensitive-reinforcement-learning-1612.07562"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-and-its-applications-to-machine-health-monitoring-a-survey-1612.07640</loc><lastmod>2016-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-and-its-applications-to-machine-health-monitoring-a-survey-1612.07640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-and-its-applications-to-machine-health-monitoring-a-survey-1612.07640"/></url>
<url><loc>https://scifaro.com/en/abs/logic-based-clustering-and-learning-for-time-series-data-1612.07823</loc><lastmod>2017-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logic-based-clustering-and-learning-for-time-series-data-1612.07823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logic-based-clustering-and-learning-for-time-series-data-1612.07823"/></url>
<url><loc>https://scifaro.com/en/abs/demian-deep-modality-invariant-adversarial-network-1612.07976</loc><lastmod>2016-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demian-deep-modality-invariant-adversarial-network-1612.07976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demian-deep-modality-invariant-adversarial-network-1612.07976"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-algorithms-a-comparative-approach-1612.08388</loc><lastmod>2016-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-algorithms-a-comparative-approach-1612.08388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-algorithms-a-comparative-approach-1612.08388"/></url>
<url><loc>https://scifaro.com/en/abs/steerable-cnns-1612.08498</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/steerable-cnns-1612.08498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/steerable-cnns-1612.08498"/></url>
<url><loc>https://scifaro.com/en/abs/theory-guided-data-science-a-new-paradigm-for-scientific-discovery-from-data-1612.08544</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-guided-data-science-a-new-paradigm-for-scientific-discovery-from-data-1612.08544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-guided-data-science-a-new-paradigm-for-scientific-discovery-from-data-1612.08544"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-both-filter-and-wrapper-feature-selection-method-for-microarray-classification-1612.08669</loc><lastmod>2016-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-both-filter-and-wrapper-feature-selection-method-for-microarray-classification-1612.08669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-both-filter-and-wrapper-feature-selection-method-for-microarray-classification-1612.08669"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-composition-and-optimization-of-multicomponent-predictive-systems-with-an-extended-auto-weka-1612.08789</loc><lastmod>2019-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-composition-and-optimization-of-multicomponent-predictive-systems-with-an-extended-auto-weka-1612.08789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-composition-and-optimization-of-multicomponent-predictive-systems-with-an-extended-auto-weka-1612.08789"/></url>
<url><loc>https://scifaro.com/en/abs/provable-learning-of-noisy-or-networks-1612.08795</loc><lastmod>2016-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-learning-of-noisy-or-networks-1612.08795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-learning-of-noisy-or-networks-1612.08795"/></url>
<url><loc>https://scifaro.com/en/abs/the-predictron-end-to-end-learning-and-planning-1612.08810</loc><lastmod>2017-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-predictron-end-to-end-learning-and-planning-1612.08810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-predictron-end-to-end-learning-and-planning-1612.08810"/></url>
<url><loc>https://scifaro.com/en/abs/meta-unsupervised-learning-a-supervised-approach-to-unsupervised-learning-1612.09030</loc><lastmod>2017-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-unsupervised-learning-a-supervised-approach-to-unsupervised-learning-1612.09030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-unsupervised-learning-a-supervised-approach-to-unsupervised-learning-1612.09030"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-and-hierarchal-generative-models-1612.09057</loc><lastmod>2018-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-and-hierarchal-generative-models-1612.09057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-and-hierarchal-generative-models-1612.09057"/></url>
<url><loc>https://scifaro.com/en/abs/selecting-bases-in-spectral-learning-of-predictive-state-representations-via-model-entropy-1612.09076</loc><lastmod>2016-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selecting-bases-in-spectral-learning-of-predictive-state-representations-via-model-entropy-1612.09076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selecting-bases-in-spectral-learning-of-predictive-state-representations-via-model-entropy-1612.09076"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-documents-with-generative-adversarial-networks-1612.09122</loc><lastmod>2016-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-documents-with-generative-adversarial-networks-1612.09122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-documents-with-generative-adversarial-networks-1612.09122"/></url>
<url><loc>https://scifaro.com/en/abs/linear-learning-with-sparse-data-1612.09147</loc><lastmod>2017-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-learning-with-sparse-data-1612.09147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-learning-with-sparse-data-1612.09147"/></url>
<url><loc>https://scifaro.com/en/abs/symmetry-saddle-points-and-global-optimization-landscape-of-nonconvex-matrix-factorization-1612.09296</loc><lastmod>2018-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetry-saddle-points-and-global-optimization-landscape-of-nonconvex-matrix-factorization-1612.09296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetry-saddle-points-and-global-optimization-landscape-of-nonconvex-matrix-factorization-1612.09296"/></url>
<url><loc>https://scifaro.com/en/abs/the-neural-hawkes-process-a-neurally-self-modulating-multivariate-point-process-1612.09328</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-neural-hawkes-process-a-neurally-self-modulating-multivariate-point-process-1612.09328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-neural-hawkes-process-a-neurally-self-modulating-multivariate-point-process-1612.09328"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-discoveries-of-physical-and-semantic-concepts-via-association-priors-of-neuron-groups-1612.09438</loc><lastmod>2017-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-discoveries-of-physical-and-semantic-concepts-via-association-priors-of-neuron-groups-1612.09438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-discoveries-of-physical-and-semantic-concepts-via-association-priors-of-neuron-groups-1612.09438"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-lambda-least-squares-temporal-difference-learning-1612.09465</loc><lastmod>2017-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-lambda-least-squares-temporal-difference-learning-1612.09465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-lambda-least-squares-temporal-difference-learning-1612.09465"/></url>
<url><loc>https://scifaro.com/en/abs/linking-the-neural-machine-translation-and-the-prediction-of-organic-chemistry-reactions-1612.09529</loc><lastmod>2017-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linking-the-neural-machine-translation-and-the-prediction-of-organic-chemistry-reactions-1612.09529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linking-the-neural-machine-translation-and-the-prediction-of-organic-chemistry-reactions-1612.09529"/></url>
<url><loc>https://scifaro.com/en/abs/nips-2016-tutorial-generative-adversarial-networks-1701.00160</loc><lastmod>2017-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nips-2016-tutorial-generative-adversarial-networks-1701.00160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nips-2016-tutorial-generative-adversarial-networks-1701.00160"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-smartphone-users-using-internet-traffic-1701.00220</loc><lastmod>2017-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-smartphone-users-using-internet-traffic-1701.00220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-smartphone-users-using-internet-traffic-1701.00220"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-robust-online-learning-1701.00251</loc><lastmod>2017-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-robust-online-learning-1701.00251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-robust-online-learning-1701.00251"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-deep-neural-networks-optimizing-accuracy-efficiency-trade-offs-by-selective-execution-1701.00299</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-deep-neural-networks-optimizing-accuracy-efficiency-trade-offs-by-selective-execution-1701.00299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-deep-neural-networks-optimizing-accuracy-efficiency-trade-offs-by-selective-execution-1701.00299"/></url>
<url><loc>https://scifaro.com/en/abs/two-bit-networks-for-deep-learning-on-resource-constrained-embedded-devices-1701.00485</loc><lastmod>2017-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-bit-networks-for-deep-learning-on-resource-constrained-embedded-devices-1701.00485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-bit-networks-for-deep-learning-on-resource-constrained-embedded-devices-1701.00485"/></url>
<url><loc>https://scifaro.com/en/abs/deep-convolutional-neural-networks-for-pairwise-causality-1701.00597</loc><lastmod>2017-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-convolutional-neural-networks-for-pairwise-causality-1701.00597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-convolutional-neural-networks-for-pairwise-causality-1701.00597"/></url>
<url><loc>https://scifaro.com/en/abs/akid-a-library-for-neural-network-research-and-production-from-a-dataism-approach-1701.00609</loc><lastmod>2017-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/akid-a-library-for-neural-network-research-and-production-from-a-dataism-approach-1701.00609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/akid-a-library-for-neural-network-research-and-production-from-a-dataism-approach-1701.00609"/></url>
<url><loc>https://scifaro.com/en/abs/using-big-data-to-enhance-the-bosch-production-line-performance-a-kaggle-challenge-1701.00705</loc><lastmod>2017-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-big-data-to-enhance-the-bosch-production-line-performance-a-kaggle-challenge-1701.00705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-big-data-to-enhance-the-bosch-production-line-performance-a-kaggle-challenge-1701.00705"/></url>
<url><loc>https://scifaro.com/en/abs/using-artificial-neural-networks-ann-to-control-chaos-1701.00754</loc><lastmod>2017-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-artificial-neural-networks-ann-to-control-chaos-1701.00754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-artificial-neural-networks-ann-to-control-chaos-1701.00754"/></url>
<url><loc>https://scifaro.com/en/abs/collapsing-of-dimensionality-1701.00831</loc><lastmod>2017-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collapsing-of-dimensionality-1701.00831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collapsing-of-dimensionality-1701.00831"/></url>
<url><loc>https://scifaro.com/en/abs/dense-associative-memory-is-robust-to-adversarial-inputs-1701.00939</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dense-associative-memory-is-robust-to-adversarial-inputs-1701.00939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dense-associative-memory-is-robust-to-adversarial-inputs-1701.00939"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-sensing-matrix-and-sparsifying-dictionary-simultaneously-for-compressive-sensing-1701.01000</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-sensing-matrix-and-sparsifying-dictionary-simultaneously-for-compressive-sensing-1701.01000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-sensing-matrix-and-sparsifying-dictionary-simultaneously-for-compressive-sensing-1701.01000"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-quality-in-multi-objective-bandits-optimization-1701.01095</loc><lastmod>2017-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-quality-in-multi-objective-bandits-optimization-1701.01095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-quality-in-multi-objective-bandits-optimization-1701.01095"/></url>
<url><loc>https://scifaro.com/en/abs/overlapping-cover-local-regression-machines-1701.01218</loc><lastmod>2017-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overlapping-cover-local-regression-machines-1701.01218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overlapping-cover-local-regression-machines-1701.01218"/></url>
<url><loc>https://scifaro.com/en/abs/neurorule-a-connectionist-approach-to-data-mining-1701.01358</loc><lastmod>2017-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neurorule-a-connectionist-approach-to-data-mining-1701.01358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neurorule-a-connectionist-approach-to-data-mining-1701.01358"/></url>
<url><loc>https://scifaro.com/en/abs/follow-the-compressed-leader-faster-online-learning-of-eigenvectors-and-faster-mmwu-1701.01722</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/follow-the-compressed-leader-faster-online-learning-of-eigenvectors-and-faster-mmwu-1701.01722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/follow-the-compressed-leader-faster-online-learning-of-eigenvectors-and-faster-mmwu-1701.01722"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-time-series-analysis-1701.01887</loc><lastmod>2017-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-time-series-analysis-1701.01887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-time-series-analysis-1701.01887"/></url>
<url><loc>https://scifaro.com/en/abs/see-the-near-future-a-short-term-predictive-methodology-to-traffic-load-in-its-1701.01917</loc><lastmod>2017-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/see-the-near-future-a-short-term-predictive-methodology-to-traffic-load-in-its-1701.01917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/see-the-near-future-a-short-term-predictive-methodology-to-traffic-load-in-its-1701.01917"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-network-motif-analysis-using-compression-1701.02026</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-network-motif-analysis-using-compression-1701.02026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-network-motif-analysis-using-compression-1701.02026"/></url>
<url><loc>https://scifaro.com/en/abs/coupled-compound-poisson-factorization-1701.02058</loc><lastmod>2017-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupled-compound-poisson-factorization-1701.02058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupled-compound-poisson-factorization-1701.02058"/></url>
<url><loc>https://scifaro.com/en/abs/quicknet-maximizing-efficiency-and-efficacy-in-deep-architectures-1701.02291</loc><lastmod>2017-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quicknet-maximizing-efficiency-and-efficacy-in-deep-architectures-1701.02291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quicknet-maximizing-efficiency-and-efficacy-in-deep-architectures-1701.02291"/></url>
<url><loc>https://scifaro.com/en/abs/the-principle-of-cognitive-action-preliminary-experimental-analysis-1701.02377</loc><lastmod>2017-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-principle-of-cognitive-action-preliminary-experimental-analysis-1701.02377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-principle-of-cognitive-action-preliminary-experimental-analysis-1701.02377"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-via-recurrent-convolutional-neural-networks-1701.02392</loc><lastmod>2017-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-via-recurrent-convolutional-neural-networks-1701.02392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-via-recurrent-convolutional-neural-networks-1701.02392"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-of-linear-differential-equations-using-gaussian-processes-1701.02440</loc><lastmod>2017-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-of-linear-differential-equations-using-gaussian-processes-1701.02440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-of-linear-differential-equations-using-gaussian-processes-1701.02440"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-bidding-by-reinforcement-learning-in-display-advertising-1701.02490</loc><lastmod>2017-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-bidding-by-reinforcement-learning-in-display-advertising-1701.02490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-bidding-by-reinforcement-learning-in-display-advertising-1701.02490"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-domain-adaptation-an-unsupervised-approach-1701.02511</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-domain-adaptation-an-unsupervised-approach-1701.02511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-domain-adaptation-an-unsupervised-approach-1701.02511"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-generative-hashing-1701.02815</loc><lastmod>2017-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-generative-hashing-1701.02815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-generative-hashing-1701.02815"/></url>
<url><loc>https://scifaro.com/en/abs/the-empirical-christoffel-function-with-applications-in-data-analysis-1701.02886</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-empirical-christoffel-function-with-applications-in-data-analysis-1701.02886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-empirical-christoffel-function-with-applications-in-data-analysis-1701.02886"/></url>
<url><loc>https://scifaro.com/en/abs/fast-mixing-for-latent-dirichlet-allocation-1701.02960</loc><lastmod>2017-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-mixing-for-latent-dirichlet-allocation-1701.02960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-mixing-for-latent-dirichlet-allocation-1701.02960"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-latent-behavior-manifold-learning-from-acoustic-features-audio2behavior-1701.03198</loc><lastmod>2017-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-latent-behavior-manifold-learning-from-acoustic-features-audio2behavior-1701.03198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-latent-behavior-manifold-learning-from-acoustic-features-audio2behavior-1701.03198"/></url>
<url><loc>https://scifaro.com/en/abs/modularized-morphing-of-neural-networks-1701.03281</loc><lastmod>2017-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modularized-morphing-of-neural-networks-1701.03281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modularized-morphing-of-neural-networks-1701.03281"/></url>
<url><loc>https://scifaro.com/en/abs/residual-lstm-design-of-a-deep-recurrent-architecture-for-distant-speech-recognition-1701.03360</loc><lastmod>2017-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-lstm-design-of-a-deep-recurrent-architecture-for-distant-speech-recognition-1701.03360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-lstm-design-of-a-deep-recurrent-architecture-for-distant-speech-recognition-1701.03360"/></url>
<url><loc>https://scifaro.com/en/abs/an-asynchronous-parallel-approach-to-sparse-recovery-1701.03458</loc><lastmod>2017-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-asynchronous-parallel-approach-to-sparse-recovery-1701.03458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-asynchronous-parallel-approach-to-sparse-recovery-1701.03458"/></url>
<url><loc>https://scifaro.com/en/abs/a-dissimilarity-based-approach-to-predictive-maintenance-with-application-to-hvac-systems-1701.03633</loc><lastmod>2017-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dissimilarity-based-approach-to-predictive-maintenance-with-application-to-hvac-systems-1701.03633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dissimilarity-based-approach-to-predictive-maintenance-with-application-to-hvac-systems-1701.03633"/></url>
<url><loc>https://scifaro.com/en/abs/symbolic-regression-algorithms-with-built-in-linear-regression-1701.03641</loc><lastmod>2017-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symbolic-regression-algorithms-with-built-in-linear-regression-1701.03641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symbolic-regression-algorithms-with-built-in-linear-regression-1701.03641"/></url>
<url><loc>https://scifaro.com/en/abs/restricted-boltzmann-machines-with-gaussian-visible-units-guided-by-pairwise-constraints-1701.03647</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/restricted-boltzmann-machines-with-gaussian-visible-units-guided-by-pairwise-constraints-1701.03647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/restricted-boltzmann-machines-with-gaussian-visible-units-guided-by-pairwise-constraints-1701.03647"/></url>
<url><loc>https://scifaro.com/en/abs/dictionary-learning-from-incomplete-data-1701.03655</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dictionary-learning-from-incomplete-data-1701.03655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dictionary-learning-from-incomplete-data-1701.03655"/></url>
<url><loc>https://scifaro.com/en/abs/truncation-free-hybrid-inference-for-dpmm-1701.03743</loc><lastmod>2017-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truncation-free-hybrid-inference-for-dpmm-1701.03743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truncation-free-hybrid-inference-for-dpmm-1701.03743"/></url>
<url><loc>https://scifaro.com/en/abs/on-h-older-projective-divergences-1701.03916</loc><lastmod>2017-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-h-older-projective-divergences-1701.03916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-h-older-projective-divergences-1701.03916"/></url>
<url><loc>https://scifaro.com/en/abs/marked-temporal-dynamics-modeling-based-on-recurrent-neural-network-1701.03918</loc><lastmod>2017-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marked-temporal-dynamics-modeling-based-on-recurrent-neural-network-1701.03918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marked-temporal-dynamics-modeling-based-on-recurrent-neural-network-1701.03918"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-and-incremental-learning-of-gaussian-mixture-models-1701.03940</loc><lastmod>2017-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-and-incremental-learning-of-gaussian-mixture-models-1701.03940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-and-incremental-learning-of-gaussian-mixture-models-1701.03940"/></url>
<url><loc>https://scifaro.com/en/abs/breeding-electric-zebras-in-the-fields-of-medicine-1701.04077</loc><lastmod>2017-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breeding-electric-zebras-in-the-fields-of-medicine-1701.04077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breeding-electric-zebras-in-the-fields-of-medicine-1701.04077"/></url>
<url><loc>https://scifaro.com/en/abs/agent-agnostic-human-in-the-loop-reinforcement-learning-1701.04079</loc><lastmod>2017-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agent-agnostic-human-in-the-loop-reinforcement-learning-1701.04079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agent-agnostic-human-in-the-loop-reinforcement-learning-1701.04079"/></url>
<url><loc>https://scifaro.com/en/abs/field-aware-factorization-machines-in-a-real-world-online-advertising-system-1701.04099</loc><lastmod>2017-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/field-aware-factorization-machines-in-a-real-world-online-advertising-system-1701.04099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/field-aware-factorization-machines-in-a-real-world-online-advertising-system-1701.04099"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-behavior-via-approximate-state-abstraction-1701.04113</loc><lastmod>2017-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-behavior-via-approximate-state-abstraction-1701.04113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-behavior-via-approximate-state-abstraction-1701.04113"/></url>
<url><loc>https://scifaro.com/en/abs/vulnerability-of-deep-reinforcement-learning-to-policy-induction-attacks-1701.04143</loc><lastmod>2017-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vulnerability-of-deep-reinforcement-learning-to-policy-induction-attacks-1701.04143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vulnerability-of-deep-reinforcement-learning-to-policy-induction-attacks-1701.04143"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-privacy-in-the-adversarial-multi-armed-bandit-1701.04222</loc><lastmod>2017-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-privacy-in-the-adversarial-multi-armed-bandit-1701.04222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-privacy-in-the-adversarial-multi-armed-bandit-1701.04222"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-stochastic-bandits-with-graph-feedback-1701.04238</loc><lastmod>2017-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-stochastic-bandits-with-graph-feedback-1701.04238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-stochastic-bandits-with-graph-feedback-1701.04238"/></url>
<url><loc>https://scifaro.com/en/abs/learning-traffic-as-images-a-deep-convolutional-neural-network-for-large-scale-transportation-network-speed-prediction-1701.04245</loc><lastmod>2017-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-traffic-as-images-a-deep-convolutional-neural-network-for-large-scale-transportation-network-speed-prediction-1701.04245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-traffic-as-images-a-deep-convolutional-neural-network-for-large-scale-transportation-network-speed-prediction-1701.04245"/></url>
<url><loc>https://scifaro.com/en/abs/fast-rates-for-empirical-risk-minimization-of-strict-saddle-problems-1701.04271</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-rates-for-empirical-risk-minimization-of-strict-saddle-problems-1701.04271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-rates-for-empirical-risk-minimization-of-strict-saddle-problems-1701.04271"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-mri-data-using-deep-learning-and-gaussian-process-based-model-selection-1701.04355</loc><lastmod>2017-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-mri-data-using-deep-learning-and-gaussian-process-based-model-selection-1701.04355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-mri-data-using-deep-learning-and-gaussian-process-based-model-selection-1701.04355"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-new-interpretation-of-separable-convolutions-1701.04489</loc><lastmod>2017-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-new-interpretation-of-separable-convolutions-1701.04489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-new-interpretation-of-separable-convolutions-1701.04489"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-regularized-kernel-for-one-class-classification-1701.04508</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-regularized-kernel-for-one-class-classification-1701.04508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-regularized-kernel-for-one-class-classification-1701.04508"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-construction-of-extreme-learning-machine-for-online-and-offline-one-class-classification-an-expanded-toolbox-1701.04516</loc><lastmod>2017-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-construction-of-extreme-learning-machine-for-online-and-offline-one-class-classification-an-expanded-toolbox-1701.04516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-construction-of-extreme-learning-machine-for-online-and-offline-one-class-classification-an-expanded-toolbox-1701.04516"/></url>
<url><loc>https://scifaro.com/en/abs/towards-prediction-of-rapid-intensification-in-tropical-cyclones-with-recurrent-neural-networks-1701.04518</loc><lastmod>2017-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-prediction-of-rapid-intensification-in-tropical-cyclones-with-recurrent-neural-networks-1701.04518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-prediction-of-rapid-intensification-in-tropical-cyclones-with-recurrent-neural-networks-1701.04518"/></url>
<url><loc>https://scifaro.com/en/abs/faster-k-means-cluster-estimation-1701.04600</loc><lastmod>2017-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-k-means-cluster-estimation-1701.04600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-k-means-cluster-estimation-1701.04600"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-variational-bayes-unifying-variational-autoencoders-and-generative-adversarial-networks-1701.04722</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-variational-bayes-unifying-variational-autoencoders-and-generative-adversarial-networks-1701.04722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-variational-bayes-unifying-variational-autoencoders-and-generative-adversarial-networks-1701.04722"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sample-complexity-of-graphical-model-selection-for-non-stationary-processes-1701.04724</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-graphical-model-selection-for-non-stationary-processes-1701.04724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-graphical-model-selection-for-non-stationary-processes-1701.04724"/></url>
<url><loc>https://scifaro.com/en/abs/joint-deep-modeling-of-users-and-items-using-reviews-for-recommendation-1701.04783</loc><lastmod>2017-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-deep-modeling-of-users-and-items-using-reviews-for-recommendation-1701.04783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-deep-modeling-of-users-and-items-using-reviews-for-recommendation-1701.04783"/></url>
<url><loc>https://scifaro.com/en/abs/3d-morphology-prediction-of-progressive-spinal-deformities-from-probabilistic-modeling-of-discriminant-manifolds-1701.04869</loc><lastmod>2017-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/3d-morphology-prediction-of-progressive-spinal-deformities-from-probabilistic-modeling-of-discriminant-manifolds-1701.04869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/3d-morphology-prediction-of-progressive-spinal-deformities-from-probabilistic-modeling-of-discriminant-manifolds-1701.04869"/></url>
<url><loc>https://scifaro.com/en/abs/highly-efficient-hierarchical-online-nonlinear-regression-using-second-order-methods-1701.05053</loc><lastmod>2017-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/highly-efficient-hierarchical-online-nonlinear-regression-using-second-order-methods-1701.05053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/highly-efficient-hierarchical-online-nonlinear-regression-using-second-order-methods-1701.05053"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitz-properties-for-deep-convolutional-networks-1701.05217</loc><lastmod>2017-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitz-properties-for-deep-convolutional-networks-1701.05217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitz-properties-for-deep-convolutional-networks-1701.05217"/></url>
<url><loc>https://scifaro.com/en/abs/validity-of-clusters-produced-by-kernel-k-means-with-kernel-trick-1701.05335</loc><lastmod>2018-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/validity-of-clusters-produced-by-kernel-k-means-with-kernel-trick-1701.05335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/validity-of-clusters-produced-by-kernel-k-means-with-kernel-trick-1701.05335"/></url>
<url><loc>https://scifaro.com/en/abs/learning-first-order-definable-concepts-over-structures-of-small-degree-1701.05487</loc><lastmod>2017-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-first-order-definable-concepts-over-structures-of-small-degree-1701.05487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-first-order-definable-concepts-over-structures-of-small-degree-1701.05487"/></url>
<url><loc>https://scifaro.com/en/abs/pixelcnn-improving-the-pixelcnn-with-discretized-logistic-mixture-likelihood-and-other-modifications-1701.05517</loc><lastmod>2017-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pixelcnn-improving-the-pixelcnn-with-discretized-logistic-mixture-likelihood-and-other-modifications-1701.05517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pixelcnn-improving-the-pixelcnn-with-discretized-logistic-mixture-likelihood-and-other-modifications-1701.05517"/></url>
<url><loc>https://scifaro.com/en/abs/git-blame-who-stylistic-authorship-attribution-of-small-incomplete-source-code-fragments-1701.05681</loc><lastmod>2019-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/git-blame-who-stylistic-authorship-attribution-of-small-incomplete-source-code-fragments-1701.05681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/git-blame-who-stylistic-authorship-attribution-of-small-incomplete-source-code-fragments-1701.05681"/></url>
<url><loc>https://scifaro.com/en/abs/label-propagation-on-k-partite-graphs-with-heterophily-1701.06075</loc><lastmod>2017-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-propagation-on-k-partite-graphs-with-heterophily-1701.06075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-propagation-on-k-partite-graphs-with-heterophily-1701.06075"/></url>
<url><loc>https://scifaro.com/en/abs/neurogenesis-inspired-dictionary-learning-online-model-adaption-in-a-changing-world-1701.06106</loc><lastmod>2018-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neurogenesis-inspired-dictionary-learning-online-model-adaption-in-a-changing-world-1701.06106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neurogenesis-inspired-dictionary-learning-online-model-adaption-in-a-changing-world-1701.06106"/></url>
<url><loc>https://scifaro.com/en/abs/effective-and-extensible-feature-extraction-method-using-genetic-algorithm-based-frequency-domain-feature-search-for-epileptic-eeg-multi-classification-1701.06120</loc><lastmod>2017-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-and-extensible-feature-extraction-method-using-genetic-algorithm-based-frequency-domain-feature-search-for-epileptic-eeg-multi-classification-1701.06120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-and-extensible-feature-extraction-method-using-genetic-algorithm-based-frequency-domain-feature-search-for-epileptic-eeg-multi-classification-1701.06120"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-demographics-of-high-resolution-geographies-with-geotagged-tweets-1701.06225</loc><lastmod>2017-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-demographics-of-high-resolution-geographies-with-geotagged-tweets-1701.06225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-demographics-of-high-resolution-geographies-with-geotagged-tweets-1701.06225"/></url>
<url><loc>https://scifaro.com/en/abs/outrageously-large-neural-networks-the-sparsely-gated-mixture-of-experts-layer-1701.06538</loc><lastmod>2017-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outrageously-large-neural-networks-the-sparsely-gated-mixture-of-experts-layer-1701.06538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outrageously-large-neural-networks-the-sparsely-gated-mixture-of-experts-layer-1701.06538"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-parametric-study-of-lubricating-oil-production-using-an-artificial-neural-network-ann-approach-1701.06551</loc><lastmod>2017-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-parametric-study-of-lubricating-oil-production-using-an-artificial-neural-network-ann-approach-1701.06551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-parametric-study-of-lubricating-oil-production-using-an-artificial-neural-network-ann-approach-1701.06551"/></url>
<url><loc>https://scifaro.com/en/abs/patchwork-kriging-for-large-scale-gaussian-process-regression-1701.06655</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/patchwork-kriging-for-large-scale-gaussian-process-regression-1701.06655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/patchwork-kriging-for-large-scale-gaussian-process-regression-1701.06655"/></url>
<url><loc>https://scifaro.com/en/abs/a-contextual-bandit-approach-for-stream-based-active-learning-1701.06725</loc><lastmod>2017-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-contextual-bandit-approach-for-stream-based-active-learning-1701.06725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-contextual-bandit-approach-for-stream-based-active-learning-1701.06725"/></url>
<url><loc>https://scifaro.com/en/abs/collective-vertex-classification-using-recursive-neural-network-1701.06751</loc><lastmod>2017-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collective-vertex-classification-using-recursive-neural-network-1701.06751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collective-vertex-classification-using-recursive-neural-network-1701.06751"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-neural-topic-models-1701.06796</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-neural-topic-models-1701.06796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-neural-topic-models-1701.06796"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effectiveness-of-discretizing-quantitative-attributes-in-linear-classifiers-1701.07114</loc><lastmod>2017-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effectiveness-of-discretizing-quantitative-attributes-in-linear-classifiers-1701.07114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effectiveness-of-discretizing-quantitative-attributes-in-linear-classifiers-1701.07114"/></url>
<url><loc>https://scifaro.com/en/abs/cp-decomposition-with-tensor-power-method-for-convolutional-neural-networks-compression-1701.07148</loc><lastmod>2017-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cp-decomposition-with-tensor-power-method-for-convolutional-neural-networks-compression-1701.07148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cp-decomposition-with-tensor-power-method-for-convolutional-neural-networks-compression-1701.07148"/></url>
<url><loc>https://scifaro.com/en/abs/malicious-url-detection-using-machine-learning-a-survey-1701.07179</loc><lastmod>2019-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/malicious-url-detection-using-machine-learning-a-survey-1701.07179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/malicious-url-detection-using-machine-learning-a-survey-1701.07179"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-an-overview-1701.07274</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-an-overview-1701.07274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-an-overview-1701.07274"/></url>
<url><loc>https://scifaro.com/en/abs/learning-light-transport-the-reinforced-way-1701.07403</loc><lastmod>2017-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-light-transport-the-reinforced-way-1701.07403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-light-transport-the-reinforced-way-1701.07403"/></url>
<url><loc>https://scifaro.com/en/abs/a-convex-similarity-index-for-sparse-recovery-of-missing-image-samples-1701.07422</loc><lastmod>2017-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convex-similarity-index-for-sparse-recovery-of-missing-image-samples-1701.07422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convex-similarity-index-for-sparse-recovery-of-missing-image-samples-1701.07422"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-convolutional-neural-network-for-risk-prediction-with-medical-feature-embedding-1701.07474</loc><lastmod>2017-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-convolutional-neural-network-for-risk-prediction-with-medical-feature-embedding-1701.07474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-convolutional-neural-network-for-risk-prediction-with-medical-feature-embedding-1701.07474"/></url>
<url><loc>https://scifaro.com/en/abs/fpga-architecture-for-deep-learning-and-its-application-to-planetary-robotics-1701.07543</loc><lastmod>2017-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fpga-architecture-for-deep-learning-and-its-application-to-planetary-robotics-1701.07543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fpga-architecture-for-deep-learning-and-its-application-to-planetary-robotics-1701.07543"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-regret-of-strongly-adaptive-methods-1701.07570</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-regret-of-strongly-adaptive-methods-1701.07570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-regret-of-strongly-adaptive-methods-1701.07570"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-geometry-based-modeling-and-clustering-of-network-wide-non-stationary-time-series-the-brain-network-case-1701.07767</loc><lastmod>2017-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-geometry-based-modeling-and-clustering-of-network-wide-non-stationary-time-series-the-brain-network-case-1701.07767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-geometry-based-modeling-and-clustering-of-network-wide-non-stationary-time-series-the-brain-network-case-1701.07767"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-analysis-of-feature-engineering-for-predictive-modeling-1701.07852</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-analysis-of-feature-engineering-for-predictive-modeling-1701.07852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-analysis-of-feature-engineering-for-predictive-modeling-1701.07852"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-limits-for-linear-prediction-with-graph-structured-sparsity-1701.07895</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-limits-for-linear-prediction-with-graph-structured-sparsity-1701.07895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-limits-for-linear-prediction-with-graph-structured-sparsity-1701.07895"/></url>
<url><loc>https://scifaro.com/en/abs/the-price-of-differential-privacy-for-online-learning-1701.07953</loc><lastmod>2017-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-price-of-differential-privacy-for-online-learning-1701.07953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-price-of-differential-privacy-for-online-learning-1701.07953"/></url>
<url><loc>https://scifaro.com/en/abs/reinforced-stochastic-gradient-descent-for-deep-neural-network-learning-1701.07974</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforced-stochastic-gradient-descent-for-deep-neural-network-learning-1701.07974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforced-stochastic-gradient-descent-for-deep-neural-network-learning-1701.07974"/></url>
<url><loc>https://scifaro.com/en/abs/multiclass-minmax-rank-aggregation-1701.08305</loc><lastmod>2017-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiclass-minmax-rank-aggregation-1701.08305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiclass-minmax-rank-aggregation-1701.08305"/></url>
<url><loc>https://scifaro.com/en/abs/when-slepian-meets-fiedler-putting-a-focus-on-the-graph-spectrum-1701.08401</loc><lastmod>2017-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-slepian-meets-fiedler-putting-a-focus-on-the-graph-spectrum-1701.08401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-slepian-meets-fiedler-putting-a-focus-on-the-graph-spectrum-1701.08401"/></url>
<url><loc>https://scifaro.com/en/abs/transformation-based-models-of-video-sequences-1701.08435</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformation-based-models-of-video-sequences-1701.08435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformation-based-models-of-video-sequences-1701.08435"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-classification-and-novelty-detection-for-point-pattern-data-1701.08473</loc><lastmod>2017-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-classification-and-novelty-detection-for-point-pattern-data-1701.08473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-classification-and-novelty-detection-for-point-pattern-data-1701.08473"/></url>
<url><loc>https://scifaro.com/en/abs/binary-adaptive-embeddings-from-order-statistics-of-random-projections-1701.08511</loc><lastmod>2017-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-adaptive-embeddings-from-order-statistics-of-random-projections-1701.08511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-adaptive-embeddings-from-order-statistics-of-random-projections-1701.08511"/></url>
<url><loc>https://scifaro.com/en/abs/variational-policy-for-guiding-point-processes-1701.08585</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-policy-for-guiding-point-processes-1701.08585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-policy-for-guiding-point-processes-1701.08585"/></url>
<url><loc>https://scifaro.com/en/abs/memory-augmented-neural-networks-with-wormhole-connections-1701.08718</loc><lastmod>2017-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-augmented-neural-networks-with-wormhole-connections-1701.08718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-augmented-neural-networks-with-wormhole-connections-1701.08718"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-learning-of-consumer-preferences-for-residential-demand-response-1701.08757</loc><lastmod>2017-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-learning-of-consumer-preferences-for-residential-demand-response-1701.08757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-learning-of-consumer-preferences-for-residential-demand-response-1701.08757"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-task-allocation-for-crowdsourcing-settings-1701.08795</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-task-allocation-for-crowdsourcing-settings-1701.08795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-task-allocation-for-crowdsourcing-settings-1701.08795"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-various-labeling-strategies-for-suicide-related-messages-on-social-media-an-experimental-study-1701.08796</loc><lastmod>2017-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-various-labeling-strategies-for-suicide-related-messages-on-social-media-an-experimental-study-1701.08796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-various-labeling-strategies-for-suicide-related-messages-on-social-media-an-experimental-study-1701.08796"/></url>
<url><loc>https://scifaro.com/en/abs/emergence-of-selective-invariance-in-hierarchical-feed-forward-networks-1701.08837</loc><lastmod>2017-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emergence-of-selective-invariance-in-hierarchical-feed-forward-networks-1701.08837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emergence-of-selective-invariance-in-hierarchical-feed-forward-networks-1701.08837"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-projection-of-multiple-climate-variables-using-hierarchical-multitask-learning-1701.08840</loc><lastmod>2017-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-projection-of-multiple-climate-variables-using-hierarchical-multitask-learning-1701.08840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-projection-of-multiple-climate-variables-using-hierarchical-multitask-learning-1701.08840"/></url>
<url><loc>https://scifaro.com/en/abs/sensegen-a-deep-learning-architecture-for-synthetic-sensor-data-generation-1701.08886</loc><lastmod>2017-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensegen-a-deep-learning-architecture-for-synthetic-sensor-data-generation-1701.08886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensegen-a-deep-learning-architecture-for-synthetic-sensor-data-generation-1701.08886"/></url>
<url><loc>https://scifaro.com/en/abs/deep-submodular-functions-1701.08939</loc><lastmod>2017-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-submodular-functions-1701.08939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-submodular-functions-1701.08939"/></url>
<url><loc>https://scifaro.com/en/abs/commai-evaluating-the-first-steps-towards-a-useful-general-ai-1701.08954</loc><lastmod>2017-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/commai-evaluating-the-first-steps-towards-a-useful-general-ai-1701.08954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/commai-evaluating-the-first-steps-towards-a-useful-general-ai-1701.08954"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-low-precision-deep-learning-inference-using-dynamic-fixed-point-1701.08978</loc><lastmod>2017-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-low-precision-deep-learning-inference-using-dynamic-fixed-point-1701.08978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-low-precision-deep-learning-inference-using-dynamic-fixed-point-1701.08978"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-rank-aggregation-via-lehmer-codes-1701.09083</loc><lastmod>2017-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-rank-aggregation-via-lehmer-codes-1701.09083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-rank-aggregation-via-lehmer-codes-1701.09083"/></url>
<url><loc>https://scifaro.com/en/abs/a-dirichlet-mixture-model-of-hawkes-processes-for-event-sequence-clustering-1701.09177</loc><lastmod>2017-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dirichlet-mixture-model-of-hawkes-processes-for-event-sequence-clustering-1701.09177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dirichlet-mixture-model-of-hawkes-processes-for-event-sequence-clustering-1701.09177"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-distribution-with-largest-mean-two-bandit-frameworks-1702.00001</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-distribution-with-largest-mean-two-bandit-frameworks-1702.00001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-distribution-with-largest-mean-two-bandit-frameworks-1702.00001"/></url>
<url><loc>https://scifaro.com/en/abs/on-orthogonality-and-learning-recurrent-networks-with-long-term-dependencies-1702.00071</loc><lastmod>2017-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-orthogonality-and-learning-recurrent-networks-with-long-term-dependencies-1702.00071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-orthogonality-and-learning-recurrent-networks-with-long-term-dependencies-1702.00071"/></url>
<url><loc>https://scifaro.com/en/abs/pca-initialized-deep-neural-networks-applied-to-document-image-analysis-1702.00177</loc><lastmod>2018-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pca-initialized-deep-neural-networks-applied-to-document-image-analysis-1702.00177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pca-initialized-deep-neural-networks-applied-to-document-image-analysis-1702.00177"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-schemes-for-discrete-distribution-estimation-under-locally-differential-privacy-1702.00610</loc><lastmod>2017-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-schemes-for-discrete-distribution-estimation-under-locally-differential-privacy-1702.00610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-schemes-for-discrete-distribution-estimation-under-locally-differential-privacy-1702.00610"/></url>
<url><loc>https://scifaro.com/en/abs/hashnet-deep-learning-to-hash-by-continuation-1702.00758</loc><lastmod>2017-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hashnet-deep-learning-to-hash-by-continuation-1702.00758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hashnet-deep-learning-to-hash-by-continuation-1702.00758"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-grassmann-averages-for-online-linear-robust-and-nonlinear-subspace-learning-1702.01005</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-grassmann-averages-for-online-linear-robust-and-nonlinear-subspace-learning-1702.01005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-grassmann-averages-for-online-linear-robust-and-nonlinear-subspace-learning-1702.01005"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-aware-reinforcement-learning-for-collision-avoidance-1702.01182</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-aware-reinforcement-learning-for-collision-avoidance-1702.01182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-aware-reinforcement-learning-for-collision-avoidance-1702.01182"/></url>
<url><loc>https://scifaro.com/en/abs/fuzzy-clustering-data-given-on-the-ordinal-scale-based-on-membership-and-likelihood-functions-sharing-1702.01200</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fuzzy-clustering-data-given-on-the-ordinal-scale-based-on-membership-and-likelihood-functions-sharing-1702.01200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fuzzy-clustering-data-given-on-the-ordinal-scale-based-on-membership-and-likelihood-functions-sharing-1702.01200"/></url>
<url><loc>https://scifaro.com/en/abs/towards-better-analysis-of-machine-learning-models-a-visual-analytics-perspective-1702.01226</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-better-analysis-of-machine-learning-models-a-visual-analytics-perspective-1702.01226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-better-analysis-of-machine-learning-models-a-visual-analytics-perspective-1702.01226"/></url>
<url><loc>https://scifaro.com/en/abs/a-learning-based-approach-for-lane-departure-warning-systems-with-a-personalized-driver-model-1702.01228</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-learning-based-approach-for-lane-departure-warning-systems-with-a-personalized-driver-model-1702.01228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-learning-based-approach-for-lane-departure-warning-systems-with-a-personalized-driver-model-1702.01228"/></url>
<url><loc>https://scifaro.com/en/abs/simple-to-complex-cross-modal-learning-to-rank-1702.01229</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-to-complex-cross-modal-learning-to-rank-1702.01229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-to-complex-cross-modal-learning-to-rank-1702.01229"/></url>
<url><loc>https://scifaro.com/en/abs/network-based-methods-for-outcome-prediction-in-the-sample-space-1702.01268</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-based-methods-for-outcome-prediction-in-the-sample-space-1702.01268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-based-methods-for-outcome-prediction-in-the-sample-space-1702.01268"/></url>
<url><loc>https://scifaro.com/en/abs/latent-hinge-minimax-risk-minimization-for-inference-from-a-small-number-of-training-samples-1702.01293</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-hinge-minimax-risk-minimization-for-inference-from-a-small-number-of-training-samples-1702.01293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-hinge-minimax-risk-minimization-for-inference-from-a-small-number-of-training-samples-1702.01293"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-based-kriging-approximation-algorithms-for-complexity-reduction-1702.01313</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-based-kriging-approximation-algorithms-for-complexity-reduction-1702.01313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-based-kriging-approximation-algorithms-for-complexity-reduction-1702.01313"/></url>
<url><loc>https://scifaro.com/en/abs/a-scikit-based-python-environment-for-performing-multi-label-classification-1702.01460</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scikit-based-python-environment-for-performing-multi-label-classification-1702.01460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scikit-based-python-environment-for-performing-multi-label-classification-1702.01460"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-cost-sensitive-svm-for-imbalanced-data-connecting-cluster-to-classification-1702.01504</loc><lastmod>2017-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-cost-sensitive-svm-for-imbalanced-data-connecting-cluster-to-classification-1702.01504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-cost-sensitive-svm-for-imbalanced-data-connecting-cluster-to-classification-1702.01504"/></url>
<url><loc>https://scifaro.com/en/abs/calibrating-energy-based-generative-adversarial-networks-1702.01691</loc><lastmod>2017-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrating-energy-based-generative-adversarial-networks-1702.01691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrating-energy-based-generative-adversarial-networks-1702.01691"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-algorithm-for-robust-lssvm-in-primal-space-1702.01935</loc><lastmod>2017-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-algorithm-for-robust-lssvm-in-primal-space-1702.01935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-algorithm-for-robust-lssvm-in-primal-space-1702.01935"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-risk-minimization-for-stochastic-convex-optimization-o-1-n-and-o-1-n-2-type-of-risk-bounds-1702.02030</loc><lastmod>2017-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-risk-minimization-for-stochastic-convex-optimization-o-1-n-and-o-1-n-2-type-of-risk-bounds-1702.02030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-risk-minimization-for-stochastic-convex-optimization-o-1-n-and-o-1-n-2-type-of-risk-bounds-1702.02030"/></url>
<url><loc>https://scifaro.com/en/abs/preference-based-teaching-1702.02047</loc><lastmod>2017-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preference-based-teaching-1702.02047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preference-based-teaching-1702.02047"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-parametric-density-estimation-1702.02144</loc><lastmod>2017-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-parametric-density-estimation-1702.02144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-parametric-density-estimation-1702.02144"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-from-multiple-linear-predictive-state-representations-psr-1702.02184</loc><lastmod>2017-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-from-multiple-linear-predictive-state-representations-psr-1702.02184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-from-multiple-linear-predictive-state-representations-psr-1702.02184"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-for-point-pattern-data-1702.02262</loc><lastmod>2017-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-for-point-pattern-data-1702.02262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-for-point-pattern-data-1702.02262"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-on-neural-network-policies-1702.02284</loc><lastmod>2017-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-on-neural-network-policies-1702.02284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-on-neural-network-policies-1702.02284"/></url>
<url><loc>https://scifaro.com/en/abs/preparing-for-the-unknown-learning-a-universal-policy-with-online-system-identification-1702.02453</loc><lastmod>2017-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preparing-for-the-unknown-learning-a-universal-policy-with-online-system-identification-1702.02453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preparing-for-the-unknown-learning-a-universal-policy-with-online-system-identification-1702.02453"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generalized-canonical-correlation-analysis-1702.02519</loc><lastmod>2017-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generalized-canonical-correlation-analysis-1702.02519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generalized-canonical-correlation-analysis-1702.02519"/></url>
<url><loc>https://scifaro.com/en/abs/causal-regularization-1702.02604</loc><lastmod>2017-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-regularization-1702.02604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-regularization-1702.02604"/></url>
<url><loc>https://scifaro.com/en/abs/eeg-representation-using-multi-instance-framework-on-the-manifold-of-symmetric-positive-definite-matrices-for-eeg-based-computer-aided-diagnosis-1702.02655</loc><lastmod>2017-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eeg-representation-using-multi-instance-framework-on-the-manifold-of-symmetric-positive-definite-matrices-for-eeg-based-computer-aided-diagnosis-1702.02655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eeg-representation-using-multi-instance-framework-on-the-manifold-of-symmetric-positive-definite-matrices-for-eeg-based-computer-aided-diagnosis-1702.02655"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-pairwise-ranking-going-beyond-the-n-log-n-barrier-1702.02661</loc><lastmod>2017-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-pairwise-ranking-going-beyond-the-n-log-n-barrier-1702.02661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-pairwise-ranking-going-beyond-the-n-log-n-barrier-1702.02661"/></url>
<url><loc>https://scifaro.com/en/abs/coordinated-online-learning-with-applications-to-learning-user-preferences-1702.02849</loc><lastmod>2017-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coordinated-online-learning-with-applications-to-learning-user-preferences-1702.02849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coordinated-online-learning-with-applications-to-learning-user-preferences-1702.02849"/></url>
<url><loc>https://scifaro.com/en/abs/online-and-offline-domain-adaptation-for-reducing-bci-calibration-effort-1702.02897</loc><lastmod>2020-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-and-offline-domain-adaptation-for-reducing-bci-calibration-effort-1702.02897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-and-offline-domain-adaptation-for-reducing-bci-calibration-effort-1702.02897"/></url>
<url><loc>https://scifaro.com/en/abs/driver-drowsiness-estimation-from-eeg-signals-using-online-weighted-adaptation-regularization-for-regression-owarr-1702.02901</loc><lastmod>2020-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/driver-drowsiness-estimation-from-eeg-signals-using-online-weighted-adaptation-regularization-for-regression-owarr-1702.02901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/driver-drowsiness-estimation-from-eeg-signals-using-online-weighted-adaptation-regularization-for-regression-owarr-1702.02901"/></url>
<url><loc>https://scifaro.com/en/abs/switching-eeg-headsets-made-easy-reducing-offline-calibration-effort-using-active-weighted-adaptation-regularization-1702.02906</loc><lastmod>2017-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/switching-eeg-headsets-made-easy-reducing-offline-calibration-effort-using-active-weighted-adaptation-regularization-1702.02906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/switching-eeg-headsets-made-easy-reducing-offline-calibration-effort-using-active-weighted-adaptation-regularization-1702.02906"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-filtering-for-eeg-based-regression-problems-in-brain-computer-interface-bci-1702.02914</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-filtering-for-eeg-based-regression-problems-in-brain-computer-interface-bci-1702.02914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-filtering-for-eeg-based-regression-problems-in-brain-computer-interface-bci-1702.02914"/></url>
<url><loc>https://scifaro.com/en/abs/multi-step-off-policy-learning-without-importance-sampling-ratios-1702.03006</loc><lastmod>2017-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-step-off-policy-learning-without-importance-sampling-ratios-1702.03006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-step-off-policy-learning-without-importance-sampling-ratios-1702.03006"/></url>
<url><loc>https://scifaro.com/en/abs/following-the-leader-and-fast-rates-in-linear-prediction-curved-constraint-sets-and-other-regularities-1702.03040</loc><lastmod>2017-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/following-the-leader-and-fast-rates-in-linear-prediction-curved-constraint-sets-and-other-regularities-1702.03040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/following-the-leader-and-fast-rates-in-linear-prediction-curved-constraint-sets-and-other-regularities-1702.03040"/></url>
<url><loc>https://scifaro.com/en/abs/sigmoid-weighted-linear-units-for-neural-network-function-approximation-in-reinforcement-learning-1702.03118</loc><lastmod>2017-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sigmoid-weighted-linear-units-for-neural-network-function-approximation-in-reinforcement-learning-1702.03118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sigmoid-weighted-linear-units-for-neural-network-function-approximation-in-reinforcement-learning-1702.03118"/></url>
<url><loc>https://scifaro.com/en/abs/a-deterministic-and-generalized-framework-for-unsupervised-learning-with-restricted-boltzmann-machines-1702.03260</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deterministic-and-generalized-framework-for-unsupervised-learning-with-restricted-boltzmann-machines-1702.03260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deterministic-and-generalized-framework-for-unsupervised-learning-with-restricted-boltzmann-machines-1702.03260"/></url>
<url><loc>https://scifaro.com/en/abs/batch-renormalization-towards-reducing-minibatch-dependence-in-batch-normalized-models-1702.03275</loc><lastmod>2017-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-renormalization-towards-reducing-minibatch-dependence-in-batch-normalized-models-1702.03275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-renormalization-towards-reducing-minibatch-dependence-in-batch-normalized-models-1702.03275"/></url>
<url><loc>https://scifaro.com/en/abs/generative-mixture-of-networks-1702.03307</loc><lastmod>2017-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-mixture-of-networks-1702.03307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-mixture-of-networks-1702.03307"/></url>
<url><loc>https://scifaro.com/en/abs/training-deep-neural-networks-via-optimization-over-graphs-1702.03380</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-deep-neural-networks-via-optimization-over-graphs-1702.03380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-deep-neural-networks-via-optimization-over-graphs-1702.03380"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-long-short-term-memory-for-multi-stream-classification-1702.03402</loc><lastmod>2017-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-long-short-term-memory-for-multi-stream-classification-1702.03402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-long-short-term-memory-for-multi-stream-classification-1702.03402"/></url>
<url><loc>https://scifaro.com/en/abs/concept-drift-adaptation-by-exploiting-historical-knowledge-1702.03500</loc><lastmod>2017-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-drift-adaptation-by-exploiting-historical-knowledge-1702.03500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-drift-adaptation-by-exploiting-historical-knowledge-1702.03500"/></url>
<url><loc>https://scifaro.com/en/abs/nearly-instance-optimal-sample-complexity-bounds-for-top-k-arm-selection-1702.03605</loc><lastmod>2017-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearly-instance-optimal-sample-complexity-bounds-for-top-k-arm-selection-1702.03605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearly-instance-optimal-sample-complexity-bounds-for-top-k-arm-selection-1702.03605"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-model-combination-approach-for-probabilistic-wind-power-forecasting-1702.03613</loc><lastmod>2017-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-model-combination-approach-for-probabilistic-wind-power-forecasting-1702.03613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-model-combination-approach-for-probabilistic-wind-power-forecasting-1702.03613"/></url>
<url><loc>https://scifaro.com/en/abs/coresets-for-kernel-regression-1702.03644</loc><lastmod>2017-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coresets-for-kernel-regression-1702.03644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coresets-for-kernel-regression-1702.03644"/></url>
<url><loc>https://scifaro.com/en/abs/is-big-data-sufficient-for-a-reliable-detection-of-non-technical-losses-1702.03767</loc><lastmod>2017-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-big-data-sufficient-for-a-reliable-detection-of-non-technical-losses-1702.03767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-big-data-sufficient-for-a-reliable-detection-of-non-technical-losses-1702.03767"/></url>
<url><loc>https://scifaro.com/en/abs/non-convex-learning-via-stochastic-gradient-langevin-dynamics-a-nonasymptotic-analysis-1702.03849</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-convex-learning-via-stochastic-gradient-langevin-dynamics-a-nonasymptotic-analysis-1702.03849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-convex-learning-via-stochastic-gradient-langevin-dynamics-a-nonasymptotic-analysis-1702.03849"/></url>
<url><loc>https://scifaro.com/en/abs/next-step-conditioned-deep-convolutional-neural-networks-improve-protein-secondary-structure-prediction-1702.03865</loc><lastmod>2017-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/next-step-conditioned-deep-convolutional-neural-networks-improve-protein-secondary-structure-prediction-1702.03865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/next-step-conditioned-deep-convolutional-neural-networks-improve-protein-secondary-structure-prediction-1702.03865"/></url>
<url><loc>https://scifaro.com/en/abs/is-a-data-driven-approach-still-better-than-random-choice-with-naive-bayes-classifiers-1702.04013</loc><lastmod>2017-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-a-data-driven-approach-still-better-than-random-choice-with-naive-bayes-classifiers-1702.04013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-a-data-driven-approach-still-better-than-random-choice-with-naive-bayes-classifiers-1702.04013"/></url>
<url><loc>https://scifaro.com/en/abs/mutual-kernel-matrix-completion-1702.04077</loc><lastmod>2017-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mutual-kernel-matrix-completion-1702.04077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mutual-kernel-matrix-completion-1702.04077"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-loss-function-topology-with-cyclical-learning-rates-1702.04283</loc><lastmod>2017-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-loss-function-topology-with-cyclical-learning-rates-1702.04283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-loss-function-topology-with-cyclical-learning-rates-1702.04283"/></url>
<url><loc>https://scifaro.com/en/abs/small-boxes-big-data-a-deep-learning-approach-to-optimize-variable-sized-bin-packing-1702.04415</loc><lastmod>2017-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-boxes-big-data-a-deep-learning-approach-to-optimize-variable-sized-bin-packing-1702.04415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-boxes-big-data-a-deep-learning-approach-to-optimize-variable-sized-bin-packing-1702.04415"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-multitask-feature-and-relationship-learning-1702.04423</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-multitask-feature-and-relationship-learning-1702.04423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-multitask-feature-and-relationship-learning-1702.04423"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-discrepancy-between-kleinberg-s-clustering-axioms-and-k-means-clustering-algorithm-behavior-1702.04577</loc><lastmod>2017-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-discrepancy-between-kleinberg-s-clustering-axioms-and-k-means-clustering-algorithm-behavior-1702.04577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-discrepancy-between-kleinberg-s-clustering-axioms-and-k-means-clustering-algorithm-behavior-1702.04577"/></url>
<url><loc>https://scifaro.com/en/abs/generative-temporal-models-with-memory-1702.04649</loc><lastmod>2017-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-temporal-models-with-memory-1702.04649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-temporal-models-with-memory-1702.04649"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-deep-learning-on-edge-devices-feasibility-via-adaptive-compression-1702.04683</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-deep-learning-on-edge-devices-feasibility-via-adaptive-compression-1702.04683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-deep-learning-on-edge-devices-feasibility-via-adaptive-compression-1702.04683"/></url>
<url><loc>https://scifaro.com/en/abs/linear-time-computation-of-moments-in-sum-product-networks-1702.04767</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-time-computation-of-moments-in-sum-product-networks-1702.04767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-time-computation-of-moments-in-sum-product-networks-1702.04767"/></url>
<url><loc>https://scifaro.com/en/abs/precise-recovery-of-latent-vectors-from-generative-adversarial-networks-1702.04782</loc><lastmod>2017-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/precise-recovery-of-latent-vectors-from-generative-adversarial-networks-1702.04782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/precise-recovery-of-latent-vectors-from-generative-adversarial-networks-1702.04782"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-use-learners-advice-1702.04825</loc><lastmod>2017-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-use-learners-advice-1702.04825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-use-learners-advice-1702.04825"/></url>
<url><loc>https://scifaro.com/en/abs/reflexive-regular-equivalence-for-bipartite-data-1702.04956</loc><lastmod>2017-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reflexive-regular-equivalence-for-bipartite-data-1702.04956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reflexive-regular-equivalence-for-bipartite-data-1702.04956"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-objects-and-their-relations-from-entangled-scene-representations-1702.05068</loc><lastmod>2017-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-objects-and-their-relations-from-entangled-scene-representations-1702.05068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-objects-and-their-relations-from-entangled-scene-representations-1702.05068"/></url>
<url><loc>https://scifaro.com/en/abs/completing-a-joint-pmf-from-projections-a-low-rank-coupled-tensor-factorization-approach-1702.05184</loc><lastmod>2017-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/completing-a-joint-pmf-from-projections-a-low-rank-coupled-tensor-factorization-approach-1702.05184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/completing-a-joint-pmf-from-projections-a-low-rank-coupled-tensor-factorization-approach-1702.05184"/></url>
<url><loc>https://scifaro.com/en/abs/the-simulator-understanding-adaptive-sampling-in-the-moderate-confidence-regime-1702.05186</loc><lastmod>2023-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-simulator-understanding-adaptive-sampling-in-the-moderate-confidence-regime-1702.05186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-simulator-understanding-adaptive-sampling-in-the-moderate-confidence-regime-1702.05186"/></url>
<url><loc>https://scifaro.com/en/abs/cloud-based-deep-learning-of-big-eeg-data-for-epileptic-seizure-prediction-1702.05192</loc><lastmod>2017-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cloud-based-deep-learning-of-big-eeg-data-for-epileptic-seizure-prediction-1702.05192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cloud-based-deep-learning-of-big-eeg-data-for-epileptic-seizure-prediction-1702.05192"/></url>
<url><loc>https://scifaro.com/en/abs/solving-equations-of-random-convex-functions-via-anchored-regression-1702.05327</loc><lastmod>2018-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-equations-of-random-convex-functions-via-anchored-regression-1702.05327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-equations-of-random-convex-functions-via-anchored-regression-1702.05327"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-the-hazard-rate-more-perturbation-algorithms-for-adversarial-multi-armed-bandits-1702.05536</loc><lastmod>2018-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-the-hazard-rate-more-perturbation-algorithms-for-adversarial-multi-armed-bandits-1702.05536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-the-hazard-rate-more-perturbation-algorithms-for-adversarial-multi-armed-bandits-1702.05536"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-equivalence-of-holographic-and-complex-embeddings-for-link-prediction-1702.05563</loc><lastmod>2017-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-equivalence-of-holographic-and-complex-embeddings-for-link-prediction-1702.05563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-equivalence-of-holographic-and-complex-embeddings-for-link-prediction-1702.05563"/></url>
<url><loc>https://scifaro.com/en/abs/thresholding-based-efficient-outlier-robust-pca-1702.05571</loc><lastmod>2017-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thresholding-based-efficient-outlier-robust-pca-1702.05571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thresholding-based-efficient-outlier-robust-pca-1702.05571"/></url>
<url><loc>https://scifaro.com/en/abs/a-hitting-time-analysis-of-stochastic-gradient-langevin-dynamics-1702.05575</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hitting-time-analysis-of-stochastic-gradient-langevin-dynamics-1702.05575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hitting-time-analysis-of-stochastic-gradient-langevin-dynamics-1702.05575"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-perceptron-efficient-and-label-optimal-learning-of-halfspaces-1702.05581</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-perceptron-efficient-and-label-optimal-learning-of-halfspaces-1702.05581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-perceptron-efficient-and-label-optimal-learning-of-halfspaces-1702.05581"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-stochastic-variance-reduced-gradient-algorithm-with-retraction-and-vector-transport-1702.05594</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-stochastic-variance-reduced-gradient-algorithm-with-retraction-and-vector-transport-1702.05594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-stochastic-variance-reduced-gradient-algorithm-with-retraction-and-vector-transport-1702.05594"/></url>
<url><loc>https://scifaro.com/en/abs/deep-stochastic-configuration-networks-with-universal-approximation-property-1702.05639</loc><lastmod>2018-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-stochastic-configuration-networks-with-universal-approximation-property-1702.05639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-stochastic-configuration-networks-with-universal-approximation-property-1702.05639"/></url>
<url><loc>https://scifaro.com/en/abs/on-loss-functions-for-deep-neural-networks-in-classification-1702.05659</loc><lastmod>2017-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-loss-functions-for-deep-neural-networks-in-classification-1702.05659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-loss-functions-for-deep-neural-networks-in-classification-1702.05659"/></url>
<url><loc>https://scifaro.com/en/abs/quadratic-upper-bound-for-recursive-teaching-dimension-of-finite-vc-classes-1702.05677</loc><lastmod>2017-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quadratic-upper-bound-for-recursive-teaching-dimension-of-finite-vc-classes-1702.05677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quadratic-upper-bound-for-recursive-teaching-dimension-of-finite-vc-classes-1702.05677"/></url>
<url><loc>https://scifaro.com/en/abs/non-negative-tensor-factorization-for-human-behavioral-pattern-mining-in-online-games-1702.05695</loc><lastmod>2017-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-negative-tensor-factorization-for-human-behavioral-pattern-mining-in-online-games-1702.05695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-negative-tensor-factorization-for-human-behavioral-pattern-mining-in-online-games-1702.05695"/></url>
<url><loc>https://scifaro.com/en/abs/online-robust-principal-component-analysis-with-change-point-detection-1702.05698</loc><lastmod>2017-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-robust-principal-component-analysis-with-change-point-detection-1702.05698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-robust-principal-component-analysis-with-change-point-detection-1702.05698"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-deep-reinforcement-learning-1702.05796</loc><lastmod>2017-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-deep-reinforcement-learning-1702.05796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-deep-reinforcement-learning-1702.05796"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-embedding-and-visualization-using-graphs-1702.05815</loc><lastmod>2017-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-embedding-and-visualization-using-graphs-1702.05815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-embedding-and-visualization-using-graphs-1702.05815"/></url>
<url><loc>https://scifaro.com/en/abs/robust-sparse-estimation-tasks-in-high-dimensions-1702.05860</loc><lastmod>2017-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-sparse-estimation-tasks-in-high-dimensions-1702.05860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-sparse-estimation-tasks-in-high-dimensions-1702.05860"/></url>
<url><loc>https://scifaro.com/en/abs/cosine-normalization-using-cosine-similarity-instead-of-dot-product-in-neural-networks-1702.05870</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cosine-normalization-using-cosine-similarity-instead-of-dot-product-in-neural-networks-1702.05870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cosine-normalization-using-cosine-similarity-instead-of-dot-product-in-neural-networks-1702.05870"/></url>
<url><loc>https://scifaro.com/en/abs/generating-adversarial-malware-examples-for-black-box-attacks-based-on-gan-1702.05983</loc><lastmod>2017-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-adversarial-malware-examples-for-black-box-attacks-based-on-gan-1702.05983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-adversarial-malware-examples-for-black-box-attacks-based-on-gan-1702.05983"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-repeat-fine-grained-action-repetition-for-deep-reinforcement-learning-1702.06054</loc><lastmod>2020-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-repeat-fine-grained-action-repetition-for-deep-reinforcement-learning-1702.06054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-repeat-fine-grained-action-repetition-for-deep-reinforcement-learning-1702.06054"/></url>
<url><loc>https://scifaro.com/en/abs/learning-non-discriminatory-predictors-1702.06081</loc><lastmod>2017-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-non-discriminatory-predictors-1702.06081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-non-discriminatory-predictors-1702.06081"/></url>
<url><loc>https://scifaro.com/en/abs/label-distribution-learning-forests-1702.06086</loc><lastmod>2017-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-distribution-learning-forests-1702.06086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-distribution-learning-forests-1702.06086"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-parametrization-and-analysis-of-the-exp3-algorithm-for-stochastic-and-adversarial-bandits-1702.06103</loc><lastmod>2017-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-parametrization-and-analysis-of-the-exp3-algorithm-for-stochastic-and-adversarial-bandits-1702.06103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-parametrization-and-analysis-of-the-exp3-algorithm-for-stochastic-and-adversarial-bandits-1702.06103"/></url>
<url><loc>https://scifaro.com/en/abs/an-attention-based-deep-net-for-learning-to-rank-1702.06106</loc><lastmod>2017-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-attention-based-deep-net-for-learning-to-rank-1702.06106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-attention-based-deep-net-for-learning-to-rank-1702.06106"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-consistency-of-k-means-algorithm-1702.06120</loc><lastmod>2017-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-consistency-of-k-means-algorithm-1702.06120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-consistency-of-k-means-algorithm-1702.06120"/></url>
<url><loc>https://scifaro.com/en/abs/structured-signal-recovery-from-quadratic-measurements-breaking-sample-complexity-barriers-via-nonconvex-optimization-1702.06175</loc><lastmod>2017-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-signal-recovery-from-quadratic-measurements-breaking-sample-complexity-barriers-via-nonconvex-optimization-1702.06175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-signal-recovery-from-quadratic-measurements-breaking-sample-complexity-barriers-via-nonconvex-optimization-1702.06175"/></url>
<url><loc>https://scifaro.com/en/abs/survey-of-reasoning-using-neural-networks-1702.06186</loc><lastmod>2017-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survey-of-reasoning-using-neural-networks-1702.06186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survey-of-reasoning-using-neural-networks-1702.06186"/></url>
<url><loc>https://scifaro.com/en/abs/beating-the-world-s-best-at-super-smash-bros-with-deep-reinforcement-learning-1702.06230</loc><lastmod>2017-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beating-the-world-s-best-at-super-smash-bros-with-deep-reinforcement-learning-1702.06230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beating-the-world-s-best-at-super-smash-bros-with-deep-reinforcement-learning-1702.06230"/></url>
<url><loc>https://scifaro.com/en/abs/exact-tensor-completion-with-sum-of-squares-1702.06237</loc><lastmod>2017-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-tensor-completion-with-sum-of-squares-1702.06237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-tensor-completion-with-sum-of-squares-1702.06237"/></url>
<url><loc>https://scifaro.com/en/abs/memory-and-communication-efficient-distributed-stochastic-optimization-with-minibatch-prox-1702.06269</loc><lastmod>2017-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-and-communication-efficient-distributed-stochastic-optimization-with-minibatch-prox-1702.06269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-and-communication-efficient-distributed-stochastic-optimization-with-minibatch-prox-1702.06269"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-recurrent-neural-networks-for-polyphonic-sound-event-detection-1702.06286</loc><lastmod>2017-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-recurrent-neural-networks-for-polyphonic-sound-event-detection-1702.06286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-recurrent-neural-networks-for-polyphonic-sound-event-detection-1702.06286"/></url>
<url><loc>https://scifaro.com/en/abs/convolution-aware-initialization-1702.06295</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolution-aware-initialization-1702.06295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolution-aware-initialization-1702.06295"/></url>
<url><loc>https://scifaro.com/en/abs/fast-rates-for-online-learning-in-linearly-solvable-markov-decision-processes-1702.06341</loc><lastmod>2017-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-rates-for-online-learning-in-linearly-solvable-markov-decision-processes-1702.06341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-rates-for-online-learning-in-linearly-solvable-markov-decision-processes-1702.06341"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-demand-aware-recommendation-1702.06347</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-demand-aware-recommendation-1702.06347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-demand-aware-recommendation-1702.06347"/></url>
<url><loc>https://scifaro.com/en/abs/negative-unlabeled-tensor-factorization-for-location-category-inference-from-highly-inaccurate-mobility-data-1702.06362</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/negative-unlabeled-tensor-factorization-for-location-category-inference-from-highly-inaccurate-mobility-data-1702.06362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/negative-unlabeled-tensor-factorization-for-location-category-inference-from-highly-inaccurate-mobility-data-1702.06362"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-optimization-view-on-generalized-matching-pursuit-and-frank-wolfe-1702.06457</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-optimization-view-on-generalized-matching-pursuit-and-frank-wolfe-1702.06457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-optimization-view-on-generalized-matching-pursuit-and-frank-wolfe-1702.06457"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-canonical-correlation-analysis-1702.06533</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-canonical-correlation-analysis-1702.06533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-canonical-correlation-analysis-1702.06533"/></url>
<url><loc>https://scifaro.com/en/abs/active-one-shot-learning-1702.06559</loc><lastmod>2017-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-one-shot-learning-1702.06559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-one-shot-learning-1702.06559"/></url>
<url><loc>https://scifaro.com/en/abs/exemplar-centered-supervised-shallow-parametric-data-embedding-1702.06602</loc><lastmod>2017-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exemplar-centered-supervised-shallow-parametric-data-embedding-1702.06602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exemplar-centered-supervised-shallow-parametric-data-embedding-1702.06602"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-control-for-free-from-generative-models-1702.06676</loc><lastmod>2017-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-control-for-free-from-generative-models-1702.06676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-control-for-free-from-generative-models-1702.06676"/></url>
<url><loc>https://scifaro.com/en/abs/ensembles-of-randomized-time-series-shapelets-provide-improved-accuracy-while-reducing-computational-costs-1702.06712</loc><lastmod>2017-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensembles-of-randomized-time-series-shapelets-provide-improved-accuracy-while-reducing-computational-costs-1702.06712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensembles-of-randomized-time-series-shapelets-provide-improved-accuracy-while-reducing-computational-costs-1702.06712"/></url>
<url><loc>https://scifaro.com/en/abs/memory-matching-networks-for-genomic-sequence-classification-1702.06760</loc><lastmod>2017-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-matching-networks-for-genomic-sequence-classification-1702.06760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-matching-networks-for-genomic-sequence-classification-1702.06760"/></url>
<url><loc>https://scifaro.com/en/abs/style-transfer-generative-adversarial-networks-learning-to-play-chess-differently-1702.06762</loc><lastmod>2017-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/style-transfer-generative-adversarial-networks-learning-to-play-chess-differently-1702.06762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/style-transfer-generative-adversarial-networks-learning-to-play-chess-differently-1702.06762"/></url>
<url><loc>https://scifaro.com/en/abs/deepcloak-masking-deep-neural-network-models-for-robustness-against-adversarial-samples-1702.06763</loc><lastmod>2017-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepcloak-masking-deep-neural-network-models-for-robustness-against-adversarial-samples-1702.06763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepcloak-masking-deep-neural-network-models-for-robustness-against-adversarial-samples-1702.06763"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-by-stochastic-complexity-1702.06776</loc><lastmod>2017-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-by-stochastic-complexity-1702.06776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-by-stochastic-complexity-1702.06776"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-approximation-for-canonical-correlation-analysis-1702.06818</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-approximation-for-canonical-correlation-analysis-1702.06818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-approximation-for-canonical-correlation-analysis-1702.06818"/></url>
<url><loc>https://scifaro.com/en/abs/training-a-subsampling-mechanism-in-expectation-1702.06914</loc><lastmod>2017-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-a-subsampling-mechanism-in-expectation-1702.06914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-a-subsampling-mechanism-in-expectation-1702.06914"/></url>
<url><loc>https://scifaro.com/en/abs/fast-rates-for-bandit-optimization-with-upper-confidence-frank-wolfe-1702.06917</loc><lastmod>2017-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-rates-for-bandit-optimization-with-upper-confidence-frank-wolfe-1702.06917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-rates-for-bandit-optimization-with-upper-confidence-frank-wolfe-1702.06917"/></url>
<url><loc>https://scifaro.com/en/abs/an-algebraic-formalization-of-forward-and-forward-backward-algorithms-1702.06941</loc><lastmod>2017-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algebraic-formalization-of-forward-and-forward-backward-algorithms-1702.06941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algebraic-formalization-of-forward-and-forward-backward-algorithms-1702.06941"/></url>
<url><loc>https://scifaro.com/en/abs/tuple-oriented-compression-for-large-scale-mini-batch-stochastic-gradient-descent-1702.06943</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tuple-oriented-compression-for-large-scale-mini-batch-stochastic-gradient-descent-1702.06943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tuple-oriented-compression-for-large-scale-mini-batch-stochastic-gradient-descent-1702.06943"/></url>
<url><loc>https://scifaro.com/en/abs/heavy-tailed-analogues-of-the-covariance-matrix-for-ica-1702.06976</loc><lastmod>2017-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heavy-tailed-analogues-of-the-covariance-matrix-for-ica-1702.06976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heavy-tailed-analogues-of-the-covariance-matrix-for-ica-1702.06976"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-stochastic-learning-using-gpus-1702.07005</loc><lastmod>2017-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-stochastic-learning-using-gpus-1702.07005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-stochastic-learning-using-gpus-1702.07005"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hawkes-processes-from-short-doubly-censored-event-sequences-1702.07013</loc><lastmod>2017-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hawkes-processes-from-short-doubly-censored-event-sequences-1702.07013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hawkes-processes-from-short-doubly-censored-event-sequences-1702.07013"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-ability-of-neural-nets-to-express-distributions-1702.07028</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-ability-of-neural-nets-to-express-distributions-1702.07028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-ability-of-neural-nets-to-express-distributions-1702.07028"/></url>
<url><loc>https://scifaro.com/en/abs/bandits-with-movement-costs-and-adaptive-pricing-1702.07444</loc><lastmod>2017-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandits-with-movement-costs-and-adaptive-pricing-1702.07444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandits-with-movement-costs-and-adaptive-pricing-1702.07444"/></url>
<url><loc>https://scifaro.com/en/abs/strongly-typed-agents-are-guaranteed-to-interact-safely-1702.07450</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strongly-typed-agents-are-guaranteed-to-interact-safely-1702.07450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strongly-typed-agents-are-guaranteed-to-interact-safely-1702.07450"/></url>
<url><loc>https://scifaro.com/en/abs/online-meta-learning-by-parallel-algorithm-competition-1702.07490</loc><lastmod>2017-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-meta-learning-by-parallel-algorithm-competition-1702.07490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-meta-learning-by-parallel-algorithm-competition-1702.07490"/></url>
<url><loc>https://scifaro.com/en/abs/tight-bounds-for-bandit-combinatorial-optimization-1702.07539</loc><lastmod>2017-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-bounds-for-bandit-combinatorial-optimization-1702.07539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-bounds-for-bandit-combinatorial-optimization-1702.07539"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-origin-of-deep-learning-1702.07800</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-origin-of-deep-learning-1702.07800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-origin-of-deep-learning-1702.07800"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-neural-networks-for-efficient-inference-1702.07811</loc><lastmod>2017-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-neural-networks-for-efficient-inference-1702.07811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-neural-networks-for-efficient-inference-1702.07811"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-sequence-classification-using-sequential-output-statistics-1702.07817</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-sequence-classification-using-sequential-output-statistics-1702.07817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-sequence-classification-using-sequential-output-statistics-1702.07817"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-many-experts-1702.07870</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-many-experts-1702.07870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-many-experts-1702.07870"/></url>
<url><loc>https://scifaro.com/en/abs/coarse-grained-exponential-variational-autoencoders-1702.07904</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coarse-grained-exponential-variational-autoencoders-1702.07904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coarse-grained-exponential-variational-autoencoders-1702.07904"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-of-mixed-membership-models-1702.07933</loc><lastmod>2017-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-of-mixed-membership-models-1702.07933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-of-mixed-membership-models-1702.07933"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-variance-reduction-methods-for-policy-evaluation-1702.07944</loc><lastmod>2017-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-variance-reduction-methods-for-policy-evaluation-1702.07944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-variance-reduction-methods-for-policy-evaluation-1702.07944"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-active-learning-1702.07956</loc><lastmod>2017-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-active-learning-1702.07956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-active-learning-1702.07956"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-online-bandit-multiclass-learning-with-tilde-o-sqrt-t-regret-1702.07958</loc><lastmod>2018-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-online-bandit-multiclass-learning-with-tilde-o-sqrt-t-regret-1702.07958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-online-bandit-multiclass-learning-with-tilde-o-sqrt-t-regret-1702.07958"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-learning-of-labeled-pointcloud-differences-via-cover-tree-entropy-reduction-1702.07959</loc><lastmod>2018-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-learning-of-labeled-pointcloud-differences-via-cover-tree-entropy-reduction-1702.07959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-learning-of-labeled-pointcloud-differences-via-cover-tree-entropy-reduction-1702.07959"/></url>
<url><loc>https://scifaro.com/en/abs/globally-optimal-gradient-descent-for-a-convnet-with-gaussian-inputs-1702.07966</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/globally-optimal-gradient-descent-for-a-convnet-with-gaussian-inputs-1702.07966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/globally-optimal-gradient-descent-for-a-convnet-with-gaussian-inputs-1702.07966"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-feature-and-policy-learning-for-decision-making-1702.08001</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-feature-and-policy-learning-for-decision-making-1702.08001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-feature-and-policy-learning-for-decision-making-1702.08001"/></url>
<url><loc>https://scifaro.com/en/abs/learning-control-for-air-hockey-striking-using-deep-reinforcement-learning-1702.08074</loc><lastmod>2017-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-control-for-air-hockey-striking-using-deep-reinforcement-learning-1702.08074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-control-for-air-hockey-striking-using-deep-reinforcement-learning-1702.08074"/></url>
<url><loc>https://scifaro.com/en/abs/dropping-convexity-for-more-efficient-and-scalable-online-multiview-learning-1702.08134</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropping-convexity-for-more-efficient-and-scalable-online-multiview-learning-1702.08134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropping-convexity-for-more-efficient-and-scalable-online-multiview-learning-1702.08134"/></url>
<url><loc>https://scifaro.com/en/abs/deceiving-google-s-perspective-api-built-for-detecting-toxic-comments-1702.08138</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deceiving-google-s-perspective-api-built-for-detecting-toxic-comments-1702.08138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deceiving-google-s-perspective-api-built-for-detecting-toxic-comments-1702.08138"/></url>
<url><loc>https://scifaro.com/en/abs/mckernel-a-library-for-approximate-kernel-expansions-in-log-linear-time-1702.08159</loc><lastmod>2020-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mckernel-a-library-for-approximate-kernel-expansions-in-log-linear-time-1702.08159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mckernel-a-library-for-approximate-kernel-expansions-in-log-linear-time-1702.08159"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-deep-energy-based-policies-1702.08165</loc><lastmod>2017-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-deep-energy-based-policies-1702.08165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-deep-energy-based-policies-1702.08165"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-algorithms-for-distributed-stochastic-principal-component-analysis-1702.08169</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-algorithms-for-distributed-stochastic-principal-component-analysis-1702.08169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-algorithms-for-distributed-stochastic-principal-component-analysis-1702.08169"/></url>
<url><loc>https://scifaro.com/en/abs/fixed-point-optimization-of-deep-neural-networks-with-adaptive-step-size-retraining-1702.08171</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixed-point-optimization-of-deep-neural-networks-with-adaptive-step-size-retraining-1702.08171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixed-point-optimization-of-deep-neural-networks-with-adaptive-step-size-retraining-1702.08171"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-ensemble-prediction-for-deep-neural-networks-based-on-confidence-level-1702.08259</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-ensemble-prediction-for-deep-neural-networks-based-on-confidence-level-1702.08259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-ensemble-prediction-for-deep-neural-networks-based-on-confidence-level-1702.08259"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-learning-to-speed-up-control-of-prosthetic-hands-a-few-things-everybody-should-know-1702.08283</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-learning-to-speed-up-control-of-prosthetic-hands-a-few-things-everybody-should-know-1702.08283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-learning-to-speed-up-control-of-prosthetic-hands-a-few-things-everybody-should-know-1702.08283"/></url>
<url><loc>https://scifaro.com/en/abs/neural-map-structured-memory-for-deep-reinforcement-learning-1702.08360</loc><lastmod>2017-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-map-structured-memory-for-deep-reinforcement-learning-1702.08360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-map-structured-memory-for-deep-reinforcement-learning-1702.08360"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hierarchical-features-from-generative-models-1702.08396</loc><lastmod>2017-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hierarchical-features-from-generative-models-1702.08396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hierarchical-features-from-generative-models-1702.08396"/></url>
<url><loc>https://scifaro.com/en/abs/mcgan-mean-and-covariance-feature-matching-gan-1702.08398</loc><lastmod>2017-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcgan-mean-and-covariance-feature-matching-gan-1702.08398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcgan-mean-and-covariance-feature-matching-gan-1702.08398"/></url>
<url><loc>https://scifaro.com/en/abs/boosted-generative-models-1702.08484</loc><lastmod>2017-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosted-generative-models-1702.08484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosted-generative-models-1702.08484"/></url>
<url><loc>https://scifaro.com/en/abs/depth-separation-for-neural-networks-1702.08489</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depth-separation-for-neural-networks-1702.08489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depth-separation-for-neural-networks-1702.08489"/></url>
<url><loc>https://scifaro.com/en/abs/sgd-learns-the-conjugate-kernel-class-of-the-network-1702.08503</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgd-learns-the-conjugate-kernel-class-of-the-network-1702.08503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgd-learns-the-conjugate-kernel-class-of-the-network-1702.08503"/></url>
<url><loc>https://scifaro.com/en/abs/semi-parametric-network-structure-discovery-models-1702.08530</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-parametric-network-structure-discovery-models-1702.08530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-parametric-network-structure-discovery-models-1702.08530"/></url>
<url><loc>https://scifaro.com/en/abs/diameter-based-active-learning-1702.08553</loc><lastmod>2017-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diameter-based-active-learning-1702.08553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diameter-based-active-learning-1702.08553"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-experiment-design-for-causal-discovery-from-fixed-number-of-experiments-1702.08567</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-experiment-design-for-causal-discovery-from-fixed-number-of-experiments-1702.08567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-experiment-design-for-causal-discovery-from-fixed-number-of-experiments-1702.08567"/></url>
<url><loc>https://scifaro.com/en/abs/learning-vector-autoregressive-models-with-latent-processes-1702.08575</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-vector-autoregressive-models-with-latent-processes-1702.08575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-vector-autoregressive-models-with-latent-processes-1702.08575"/></url>
<url><loc>https://scifaro.com/en/abs/depth-creates-no-bad-local-minima-1702.08580</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depth-creates-no-bad-local-minima-1702.08580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depth-creates-no-bad-local-minima-1702.08580"/></url>
<url><loc>https://scifaro.com/en/abs/progress-estimation-and-phase-detection-for-sequential-processes-1702.08623</loc><lastmod>2017-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progress-estimation-and-phase-detection-for-sequential-processes-1702.08623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progress-estimation-and-phase-detection-for-sequential-processes-1702.08623"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-agent-expertise-in-ms-pac-man-using-value-of-information-based-policies-1702.08628</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-agent-expertise-in-ms-pac-man-using-value-of-information-based-policies-1702.08628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-agent-expertise-in-ms-pac-man-using-value-of-information-based-policies-1702.08628"/></url>
<url><loc>https://scifaro.com/en/abs/learning-what-data-to-learn-1702.08635</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-what-data-to-learn-1702.08635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-what-data-to-learn-1702.08635"/></url>
<url><loc>https://scifaro.com/en/abs/auto-clustering-output-layer-automatic-learning-of-latent-annotations-in-neural-networks-1702.08648</loc><lastmod>2017-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-clustering-output-layer-automatic-learning-of-latent-annotations-in-neural-networks-1702.08648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-clustering-output-layer-automatic-learning-of-latent-annotations-in-neural-networks-1702.08648"/></url>
<url><loc>https://scifaro.com/en/abs/towards-deeper-understanding-of-variational-autoencoding-models-1702.08658</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-deeper-understanding-of-variational-autoencoding-models-1702.08658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-deeper-understanding-of-variational-autoencoding-models-1702.08658"/></url>
<url><loc>https://scifaro.com/en/abs/on-architectural-choices-in-deep-learning-from-network-structure-to-gradient-convergence-and-parameter-estimation-1702.08670</loc><lastmod>2017-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-architectural-choices-in-deep-learning-from-network-structure-to-gradient-convergence-and-parameter-estimation-1702.08670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-architectural-choices-in-deep-learning-from-network-structure-to-gradient-convergence-and-parameter-estimation-1702.08670"/></url>
<url><loc>https://scifaro.com/en/abs/learning-rates-for-classification-with-gaussian-kernels-1702.08701</loc><lastmod>2017-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-rates-for-classification-with-gaussian-kernels-1702.08701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-rates-for-classification-with-gaussian-kernels-1702.08701"/></url>
<url><loc>https://scifaro.com/en/abs/robust-budget-allocation-via-continuous-submodular-functions-1702.08791</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-budget-allocation-via-continuous-submodular-functions-1702.08791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-budget-allocation-via-continuous-submodular-functions-1702.08791"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-nearest-neighbor-representations-using-differentiable-boundary-trees-1702.08833</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-nearest-neighbor-representations-using-differentiable-boundary-trees-1702.08833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-nearest-neighbor-representations-using-differentiable-boundary-trees-1702.08833"/></url>
<url><loc>https://scifaro.com/en/abs/deep-forest-1702.08835</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-forest-1702.08835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-forest-1702.08835"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-bayesian-learning-for-crowdsourced-regression-1702.08840</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-bayesian-learning-for-crowdsourced-regression-1702.08840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-bayesian-learning-for-crowdsourced-regression-1702.08840"/></url>
<url><loc>https://scifaro.com/en/abs/deep-semi-random-features-for-nonlinear-function-approximation-1702.08882</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-semi-random-features-for-nonlinear-function-approximation-1702.08882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-semi-random-features-for-nonlinear-function-approximation-1702.08882"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-label-propagation-for-semi-supervised-learning-with-100-millions-samples-1702.08884</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-label-propagation-for-semi-supervised-learning-with-100-millions-samples-1702.08884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-label-propagation-for-semi-supervised-learning-with-100-millions-samples-1702.08884"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitz-optimisation-for-lipschitz-interpolation-1702.08898</loc><lastmod>2017-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitz-optimisation-for-lipschitz-interpolation-1702.08898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitz-optimisation-for-lipschitz-interpolation-1702.08898"/></url>
<url><loc>https://scifaro.com/en/abs/provably-optimal-algorithms-for-generalized-linear-contextual-bandits-1703.00048</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-optimal-algorithms-for-generalized-linear-contextual-bandits-1703.00048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-optimal-algorithms-for-generalized-linear-contextual-bandits-1703.00048"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-non-discrimination-in-prediction-1703.00060</loc><lastmod>2018-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-non-discrimination-in-prediction-1703.00060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-non-discrimination-in-prediction-1703.00060"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-power-of-learning-from-k-wise-queries-1703.00066</loc><lastmod>2017-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-power-of-learning-from-k-wise-queries-1703.00066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-power-of-learning-from-k-wise-queries-1703.00066"/></url>
<url><loc>https://scifaro.com/en/abs/dual-iterative-hard-thresholding-from-non-convex-sparse-minimization-to-non-smooth-concave-maximization-1703.00119</loc><lastmod>2017-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-iterative-hard-thresholding-from-non-convex-sparse-minimization-to-non-smooth-concave-maximization-1703.00119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-iterative-hard-thresholding-from-non-convex-sparse-minimization-to-non-smooth-concave-maximization-1703.00119"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-properties-for-neural-networks-with-weight-matrices-of-low-displacement-rank-1703.00144</loc><lastmod>2017-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-properties-for-neural-networks-with-weight-matrices-of-low-displacement-rank-1703.00144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-properties-for-neural-networks-with-weight-matrices-of-low-displacement-rank-1703.00144"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-boosting-on-stochastic-data-streams-1703.00377</loc><lastmod>2017-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-boosting-on-stochastic-data-streams-1703.00377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-boosting-on-stochastic-data-streams-1703.00377"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-personal-model-training-1703.00380</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-personal-model-training-1703.00380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-personal-model-training-1703.00380"/></url>
<url><loc>https://scifaro.com/en/abs/the-statistical-recurrent-unit-1703.00381</loc><lastmod>2017-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-statistical-recurrent-unit-1703.00381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-statistical-recurrent-unit-1703.00381"/></url>
<url><loc>https://scifaro.com/en/abs/fast-k-nearest-neighbour-search-via-prioritized-dci-1703.00440</loc><lastmod>2017-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-k-nearest-neighbour-search-via-prioritized-dci-1703.00440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-k-nearest-neighbour-search-via-prioritized-dci-1703.00440"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-optimize-neural-nets-1703.00441</loc><lastmod>2017-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-optimize-neural-nets-1703.00441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-optimize-neural-nets-1703.00441"/></url>
<url><loc>https://scifaro.com/en/abs/optnet-differentiable-optimization-as-a-layer-in-neural-networks-1703.00443</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optnet-differentiable-optimization-as-a-layer-in-neural-networks-1703.00443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optnet-differentiable-optimization-as-a-layer-in-neural-networks-1703.00443"/></url>
<url><loc>https://scifaro.com/en/abs/pmlb-a-large-benchmark-suite-for-machine-learning-evaluation-and-comparison-1703.00512</loc><lastmod>2017-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pmlb-a-large-benchmark-suite-for-machine-learning-evaluation-and-comparison-1703.00512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pmlb-a-large-benchmark-suite-for-machine-learning-evaluation-and-comparison-1703.00512"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-synthetic-gradients-and-decoupled-neural-interfaces-1703.00522</loc><lastmod>2017-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-synthetic-gradients-and-decoupled-neural-interfaces-1703.00522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-synthetic-gradients-and-decoupled-neural-interfaces-1703.00522"/></url>
<url><loc>https://scifaro.com/en/abs/model-independent-online-learning-for-influence-maximization-1703.00557</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-independent-online-learning-for-influence-maximization-1703.00557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-independent-online-learning-for-influence-maximization-1703.00557"/></url>
<url><loc>https://scifaro.com/en/abs/an-analytical-formula-of-population-gradient-for-two-layered-relu-network-and-its-applications-in-convergence-and-critical-point-analysis-1703.00560</loc><lastmod>2017-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analytical-formula-of-population-gradient-for-two-layered-relu-network-and-its-applications-in-convergence-and-critical-point-analysis-1703.00560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analytical-formula-of-population-gradient-for-two-layered-relu-network-and-its-applications-in-convergence-and-critical-point-analysis-1703.00560"/></url>
<url><loc>https://scifaro.com/en/abs/signal-based-bayesian-seismic-monitoring-1703.00561</loc><lastmod>2017-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signal-based-bayesian-seismic-monitoring-1703.00561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signal-based-bayesian-seismic-monitoring-1703.00561"/></url>
<url><loc>https://scifaro.com/en/abs/moleculenet-a-benchmark-for-molecular-machine-learning-1703.00564</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moleculenet-a-benchmark-for-molecular-machine-learning-1703.00564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moleculenet-a-benchmark-for-molecular-machine-learning-1703.00564"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-and-equilibrium-in-generative-adversarial-nets-gans-1703.00573</loc><lastmod>2017-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-and-equilibrium-in-generative-adversarial-nets-gans-1703.00573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-and-equilibrium-in-generative-adversarial-nets-gans-1703.00573"/></url>
<url><loc>https://scifaro.com/en/abs/positive-unlabeled-learning-with-non-negative-risk-estimator-1703.00593</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/positive-unlabeled-learning-with-non-negative-risk-estimator-1703.00593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/positive-unlabeled-learning-with-non-negative-risk-estimator-1703.00593"/></url>
<url><loc>https://scifaro.com/en/abs/in-search-of-an-entity-resolution-oasis-optimal-asymptotic-sequential-importance-sampling-1703.00617</loc><lastmod>2017-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-search-of-an-entity-resolution-oasis-optimal-asymptotic-sequential-importance-sampling-1703.00617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-search-of-an-entity-resolution-oasis-optimal-asymptotic-sequential-importance-sampling-1703.00617"/></url>
<url><loc>https://scifaro.com/en/abs/a-unifying-view-of-explicit-and-implicit-feature-maps-of-graph-kernels-1703.00676</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unifying-view-of-explicit-and-implicit-feature-maps-of-graph-kernels-1703.00676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unifying-view-of-explicit-and-implicit-feature-maps-of-graph-kernels-1703.00676"/></url>
<url><loc>https://scifaro.com/en/abs/mixing-complexity-and-its-applications-to-neural-networks-1703.00729</loc><lastmod>2017-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixing-complexity-and-its-applications-to-neural-networks-1703.00729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixing-complexity-and-its-applications-to-neural-networks-1703.00729"/></url>
<url><loc>https://scifaro.com/en/abs/wireless-interference-identification-with-convolutional-neural-networks-1703.00737</loc><lastmod>2018-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wireless-interference-identification-with-convolutional-neural-networks-1703.00737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wireless-interference-identification-with-convolutional-neural-networks-1703.00737"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-rankings-of-software-verification-competitions-1703.00757</loc><lastmod>2017-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-rankings-of-software-verification-competitions-1703.00757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-rankings-of-software-verification-competitions-1703.00757"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-adaptive-stochastic-gradient-method-for-deep-learning-1703.00788</loc><lastmod>2017-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-adaptive-stochastic-gradient-method-for-deep-learning-1703.00788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-adaptive-stochastic-gradient-method-for-deep-learning-1703.00788"/></url>
<url><loc>https://scifaro.com/en/abs/opening-the-black-box-of-deep-neural-networks-via-information-1703.00810</loc><lastmod>2017-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opening-the-black-box-of-deep-neural-networks-via-information-1703.00810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opening-the-black-box-of-deep-neural-networks-via-information-1703.00810"/></url>
<url><loc>https://scifaro.com/en/abs/meta-networks-1703.00837</loc><lastmod>2017-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-networks-1703.00837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-networks-1703.00837"/></url>
<url><loc>https://scifaro.com/en/abs/exact-topology-reconstruction-of-radial-dynamical-systems-with-applications-to-distribution-system-of-the-power-grid-1703.00847</loc><lastmod>2017-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-topology-reconstruction-of-radial-dynamical-systems-with-applications-to-distribution-system-of-the-power-grid-1703.00847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-topology-reconstruction-of-radial-dynamical-systems-with-applications-to-distribution-system-of-the-power-grid-1703.00847"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-structure-of-generative-models-without-labeled-data-1703.00854</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-structure-of-generative-models-without-labeled-data-1703.00854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-structure-of-generative-models-without-labeled-data-1703.00854"/></url>
<url><loc>https://scifaro.com/en/abs/using-synthetic-data-to-train-neural-networks-is-model-based-reasoning-1703.00868</loc><lastmod>2017-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-synthetic-data-to-train-neural-networks-is-model-based-reasoning-1703.00868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-synthetic-data-to-train-neural-networks-is-model-based-reasoning-1703.00868"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-escape-saddle-points-efficiently-1703.00887</loc><lastmod>2017-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-escape-saddle-points-efficiently-1703.00887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-escape-saddle-points-efficiently-1703.00887"/></url>
<url><loc>https://scifaro.com/en/abs/being-robust-in-high-dimensions-can-be-practical-1703.00893</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/being-robust-in-high-dimensions-can-be-practical-1703.00893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/being-robust-in-high-dimensions-can-be-practical-1703.00893"/></url>
<url><loc>https://scifaro.com/en/abs/toward-controlled-generation-of-text-1703.00955</loc><lastmod>2018-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-controlled-generation-of-text-1703.00955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-controlled-generation-of-text-1703.00955"/></url>
<url><loc>https://scifaro.com/en/abs/a-laplacian-framework-for-option-discovery-in-reinforcement-learning-1703.00956</loc><lastmod>2017-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-laplacian-framework-for-option-discovery-in-reinforcement-learning-1703.00956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-laplacian-framework-for-option-discovery-in-reinforcement-learning-1703.00956"/></url>
<url><loc>https://scifaro.com/en/abs/belief-propagation-in-conditional-rbms-for-structured-prediction-1703.00986</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/belief-propagation-in-conditional-rbms-for-structured-prediction-1703.00986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/belief-propagation-in-conditional-rbms-for-structured-prediction-1703.00986"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-of-distributions-differences-for-classification-1703.00989</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-of-distributions-differences-for-classification-1703.00989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-of-distributions-differences-for-classification-1703.00989"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-deep-traffic-flow-neural-networks-for-urban-traffic-congestion-prediction-1703.01006</loc><lastmod>2017-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-deep-traffic-flow-neural-networks-for-urban-traffic-congestion-prediction-1703.01006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-deep-traffic-flow-neural-networks-for-urban-traffic-congestion-prediction-1703.01006"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-cost-sensitive-classification-1703.01014</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-cost-sensitive-classification-1703.01014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-cost-sensitive-classification-1703.01014"/></url>
<url><loc>https://scifaro.com/en/abs/deeply-aggrevated-differentiable-imitation-learning-for-sequential-prediction-1703.01030</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeply-aggrevated-differentiable-imitation-learning-for-sequential-prediction-1703.01030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeply-aggrevated-differentiable-imitation-learning-for-sequential-prediction-1703.01030"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-state-warping-1703.01141</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-state-warping-1703.01141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-state-warping-1703.01141"/></url>
<url><loc>https://scifaro.com/en/abs/learning-identifiable-gaussian-bayesian-networks-in-polynomial-time-and-sample-complexity-1703.01196</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-identifiable-gaussian-bayesian-networks-in-polynomial-time-and-sample-complexity-1703.01196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-identifiable-gaussian-bayesian-networks-in-polynomial-time-and-sample-complexity-1703.01196"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-separation-theorems-1703.01203</loc><lastmod>2017-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-separation-theorems-1703.01203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-separation-theorems-1703.01203"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graphical-games-from-behavioral-data-sufficient-and-necessary-conditions-1703.01218</loc><lastmod>2017-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graphical-games-from-behavioral-data-sufficient-and-necessary-conditions-1703.01218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graphical-games-from-behavioral-data-sufficient-and-necessary-conditions-1703.01218"/></url>
<url><loc>https://scifaro.com/en/abs/ex2-exploration-with-exemplar-models-for-deep-reinforcement-learning-1703.01260</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ex2-exploration-with-exemplar-models-for-deep-reinforcement-learning-1703.01260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ex2-exploration-with-exemplar-models-for-deep-reinforcement-learning-1703.01260"/></url>
<url><loc>https://scifaro.com/en/abs/axiomatic-attribution-for-deep-networks-1703.01365</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/axiomatic-attribution-for-deep-networks-1703.01365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/axiomatic-attribution-for-deep-networks-1703.01365"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-matrix-representations-1703.01454</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-matrix-representations-1703.01454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-matrix-representations-1703.01454"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-generation-of-real-time-feedback-with-neural-networks-for-simulation-based-training-1703.01460</loc><lastmod>2017-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-generation-of-real-time-feedback-with-neural-networks-for-simulation-based-training-1703.01460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-generation-of-real-time-feedback-with-neural-networks-for-simulation-based-training-1703.01460"/></url>
<url><loc>https://scifaro.com/en/abs/using-graphs-of-classifiers-to-impose-declarative-constraints-on-semi-supervised-learning-1703.01557</loc><lastmod>2017-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-graphs-of-classifiers-to-impose-declarative-constraints-on-semi-supervised-learning-1703.01557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-graphs-of-classifiers-to-impose-declarative-constraints-on-semi-supervised-learning-1703.01557"/></url>
<url><loc>https://scifaro.com/en/abs/graph-sampling-with-determinantal-processes-1703.01594</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-sampling-with-determinantal-processes-1703.01594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-sampling-with-determinantal-processes-1703.01594"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-of-output-side-unsupervised-domain-adaptation-1703.01606</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-of-output-side-unsupervised-domain-adaptation-1703.01606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-of-output-side-unsupervised-domain-adaptation-1703.01606"/></url>
<url><loc>https://scifaro.com/en/abs/improving-regret-bounds-for-combinatorial-semi-bandits-with-probabilistically-triggered-arms-and-its-applications-1703.01610</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-regret-bounds-for-combinatorial-semi-bandits-with-probabilistically-triggered-arms-and-its-applications-1703.01610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-regret-bounds-for-combinatorial-semi-bandits-with-probabilistically-triggered-arms-and-its-applications-1703.01610"/></url>
<url><loc>https://scifaro.com/en/abs/data-dependent-stability-of-stochastic-gradient-descent-1703.01678</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-dependent-stability-of-stochastic-gradient-descent-1703.01678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-dependent-stability-of-stochastic-gradient-descent-1703.01678"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-non-parametric-sequential-prediction-1703.01680</loc><lastmod>2017-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-non-parametric-sequential-prediction-1703.01680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-non-parametric-sequential-prediction-1703.01680"/></url>
<url><loc>https://scifaro.com/en/abs/third-person-imitation-learning-1703.01703</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/third-person-imitation-learning-1703.01703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/third-person-imitation-learning-1703.01703"/></url>
<url><loc>https://scifaro.com/en/abs/surprise-based-intrinsic-motivation-for-deep-reinforcement-learning-1703.01732</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surprise-based-intrinsic-motivation-for-deep-reinforcement-learning-1703.01732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surprise-based-intrinsic-motivation-for-deep-reinforcement-learning-1703.01732"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonalized-als-a-theoretically-principled-tensor-decomposition-algorithm-for-practical-use-1703.01804</loc><lastmod>2017-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonalized-als-a-theoretically-principled-tensor-decomposition-algorithm-for-practical-use-1703.01804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonalized-als-a-theoretically-principled-tensor-decomposition-algorithm-for-practical-use-1703.01804"/></url>
<url><loc>https://scifaro.com/en/abs/decomposable-submodular-function-minimization-discrete-and-continuous-1703.01830</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decomposable-submodular-function-minimization-discrete-and-continuous-1703.01830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decomposable-submodular-function-minimization-discrete-and-continuous-1703.01830"/></url>
<url><loc>https://scifaro.com/en/abs/network-inference-via-the-time-varying-graphical-lasso-1703.01958</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-inference-via-the-time-varying-graphical-lasso-1703.01958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-inference-via-the-time-varying-graphical-lasso-1703.01958"/></url>
<url><loc>https://scifaro.com/en/abs/concentration-bounds-for-high-sensitivity-functions-through-differential-privacy-1703.01970</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concentration-bounds-for-high-sensitivity-functions-through-differential-privacy-1703.01970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concentration-bounds-for-high-sensitivity-functions-through-differential-privacy-1703.01970"/></url>
<url><loc>https://scifaro.com/en/abs/neural-episodic-control-1703.01988</loc><lastmod>2017-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-episodic-control-1703.01988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-episodic-control-1703.01988"/></url>
<url><loc>https://scifaro.com/en/abs/activation-maximization-generative-adversarial-nets-1703.02000</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/activation-maximization-generative-adversarial-nets-1703.02000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/activation-maximization-generative-adversarial-nets-1703.02000"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-expressive-power-of-overlapping-architectures-of-deep-learning-1703.02065</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-expressive-power-of-overlapping-architectures-of-deep-learning-1703.02065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-expressive-power-of-overlapping-architectures-of-deep-learning-1703.02065"/></url>
<url><loc>https://scifaro.com/en/abs/classification-and-clustering-for-observations-of-event-time-data-using-non-homogeneous-poisson-process-models-1703.02111</loc><lastmod>2018-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-and-clustering-for-observations-of-event-time-data-using-non-homogeneous-poisson-process-models-1703.02111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-and-clustering-for-observations-of-event-time-data-using-non-homogeneous-poisson-process-models-1703.02111"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-machine-learning-methods-to-predict-coronary-artery-disease-using-metabolomic-data-1703.02116</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-machine-learning-methods-to-predict-coronary-artery-disease-using-metabolomic-data-1703.02116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-machine-learning-methods-to-predict-coronary-artery-disease-using-metabolomic-data-1703.02116"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-motifs-increasing-the-utility-of-motifs-using-contextual-data-1703.02144</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-motifs-increasing-the-utility-of-motifs-using-contextual-data-1703.02144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-motifs-increasing-the-utility-of-motifs-using-contextual-data-1703.02144"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-limits-of-learning-representations-with-label-based-supervision-1703.02156</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-limits-of-learning-representations-with-label-based-supervision-1703.02156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-limits-of-learning-representations-with-label-based-supervision-1703.02156"/></url>
<url><loc>https://scifaro.com/en/abs/triple-generative-adversarial-nets-1703.02291</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/triple-generative-adversarial-nets-1703.02291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/triple-generative-adversarial-nets-1703.02291"/></url>
<url><loc>https://scifaro.com/en/abs/qualitative-assessment-of-recurrent-human-motion-1703.02363</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qualitative-assessment-of-recurrent-human-motion-1703.02363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qualitative-assessment-of-recurrent-human-motion-1703.02363"/></url>
<url><loc>https://scifaro.com/en/abs/graph-sketching-based-space-efficient-data-clustering-1703.02375</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-sketching-based-space-efficient-data-clustering-1703.02375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-sketching-based-space-efficient-data-clustering-1703.02375"/></url>
<url><loc>https://scifaro.com/en/abs/global-weisfeiler-lehman-graph-kernels-1703.02379</loc><lastmod>2017-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-weisfeiler-lehman-graph-kernels-1703.02379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-weisfeiler-lehman-graph-kernels-1703.02379"/></url>
<url><loc>https://scifaro.com/en/abs/on-structured-prediction-theory-with-calibrated-convex-surrogate-losses-1703.02403</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-structured-prediction-theory-with-calibrated-convex-surrogate-losses-1703.02403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-structured-prediction-theory-with-calibrated-convex-surrogate-losses-1703.02403"/></url>
<url><loc>https://scifaro.com/en/abs/an-investigation-into-machine-learning-approaches-for-forecasting-spatio-temporal-demand-in-ride-hailing-service-1703.02433</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-investigation-into-machine-learning-approaches-for-forecasting-spatio-temporal-demand-in-ride-hailing-service-1703.02433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-investigation-into-machine-learning-approaches-for-forecasting-spatio-temporal-demand-in-ride-hailing-service-1703.02433"/></url>
<url><loc>https://scifaro.com/en/abs/online-multilinear-dictionary-learning-1703.02492</loc><lastmod>2020-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-multilinear-dictionary-learning-1703.02492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-multilinear-dictionary-learning-1703.02492"/></url>
<url><loc>https://scifaro.com/en/abs/faster-coordinate-descent-via-adaptive-importance-sampling-1703.02518</loc><lastmod>2017-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-coordinate-descent-via-adaptive-importance-sampling-1703.02518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-coordinate-descent-via-adaptive-importance-sampling-1703.02518"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-to-rank-in-stochastic-click-models-1703.02527</loc><lastmod>2017-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-to-rank-in-stochastic-click-models-1703.02527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-to-rank-in-stochastic-click-models-1703.02527"/></url>
<url><loc>https://scifaro.com/en/abs/regularising-non-linear-models-using-feature-side-information-1703.02570</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularising-non-linear-models-using-feature-side-information-1703.02570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularising-non-linear-models-using-feature-side-information-1703.02570"/></url>
<url><loc>https://scifaro.com/en/abs/data-noising-as-smoothing-in-neural-network-language-models-1703.02573</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-noising-as-smoothing-in-neural-network-language-models-1703.02573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-noising-as-smoothing-in-neural-network-language-models-1703.02573"/></url>
<url><loc>https://scifaro.com/en/abs/customer-lifetime-value-prediction-using-embeddings-1703.02596</loc><lastmod>2017-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/customer-lifetime-value-prediction-using-embeddings-1703.02596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/customer-lifetime-value-prediction-using-embeddings-1703.02596"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrapped-graph-diffusions-exposing-the-power-of-nonlinearity-1703.02618</loc><lastmod>2017-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrapped-graph-diffusions-exposing-the-power-of-nonlinearity-1703.02618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrapped-graph-diffusions-exposing-the-power-of-nonlinearity-1703.02618"/></url>
<url><loc>https://scifaro.com/en/abs/online-convex-optimization-with-unconstrained-domains-and-losses-1703.02622</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-convex-optimization-with-unconstrained-domains-and-losses-1703.02622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-convex-optimization-with-unconstrained-domains-and-losses-1703.02622"/></url>
<url><loc>https://scifaro.com/en/abs/horde-of-bandits-using-gaussian-markov-random-fields-1703.02626</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/horde-of-bandits-using-gaussian-markov-random-fields-1703.02626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/horde-of-bandits-using-gaussian-markov-random-fields-1703.02626"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-without-prior-information-1703.02629</loc><lastmod>2017-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-without-prior-information-1703.02629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-without-prior-information-1703.02629"/></url>
<url><loc>https://scifaro.com/en/abs/towards-generalization-and-simplicity-in-continuous-control-1703.02660</loc><lastmod>2018-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-generalization-and-simplicity-in-continuous-control-1703.02660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-generalization-and-simplicity-in-continuous-control-1703.02660"/></url>
<url><loc>https://scifaro.com/en/abs/structural-data-recognition-with-graph-model-boosting-1703.02662</loc><lastmod>2020-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-data-recognition-with-graph-model-boosting-1703.02662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-data-recognition-with-graph-model-boosting-1703.02662"/></url>
<url><loc>https://scifaro.com/en/abs/robust-adversarial-reinforcement-learning-1703.02702</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-adversarial-reinforcement-learning-1703.02702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-adversarial-reinforcement-learning-1703.02702"/></url>
<url><loc>https://scifaro.com/en/abs/inference-in-sparse-graphs-with-pairwise-measurements-and-side-information-1703.02728</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-in-sparse-graphs-with-pairwise-measurements-and-side-information-1703.02728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-in-sparse-graphs-with-pairwise-measurements-and-side-information-1703.02728"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-policy-search-for-automatic-tuning-of-multivariate-pid-controllers-1703.02899</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-policy-search-for-automatic-tuning-of-multivariate-pid-controllers-1703.02899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-policy-search-for-automatic-tuning-of-multivariate-pid-controllers-1703.02899"/></url>
<url><loc>https://scifaro.com/en/abs/deep-bayesian-active-learning-with-image-data-1703.02910</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-bayesian-active-learning-with-image-data-1703.02910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-bayesian-active-learning-with-image-data-1703.02910"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-inference-in-bayesian-neural-networks-with-alpha-divergences-1703.02914</loc><lastmod>2017-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-inference-in-bayesian-neural-networks-with-alpha-divergences-1703.02914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-inference-in-bayesian-neural-networks-with-alpha-divergences-1703.02914"/></url>
<url><loc>https://scifaro.com/en/abs/nearly-tight-vc-dimension-and-pseudodimension-bounds-for-piecewise-linear-neural-networks-1703.02930</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearly-tight-vc-dimension-and-pseudodimension-bounds-for-piecewise-linear-neural-networks-1703.02930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearly-tight-vc-dimension-and-pseudodimension-bounds-for-piecewise-linear-neural-networks-1703.02930"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-deep-learning-architecture-for-privacy-preserving-mobile-analytics-1703.02952</loc><lastmod>2020-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-deep-learning-architecture-for-privacy-preserving-mobile-analytics-1703.02952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-deep-learning-architecture-for-privacy-preserving-mobile-analytics-1703.02952"/></url>
<url><loc>https://scifaro.com/en/abs/a-manifold-approach-to-learning-mutually-orthogonal-subspaces-1703.02992</loc><lastmod>2017-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-manifold-approach-to-learning-mutually-orthogonal-subspaces-1703.02992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-manifold-approach-to-learning-mutually-orthogonal-subspaces-1703.02992"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-implementation-of-efficient-search-schemes-for-the-inference-of-cancer-progression-models-1703.03038</loc><lastmod>2017-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-implementation-of-efficient-search-schemes-for-the-inference-of-cancer-progression-models-1703.03038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-implementation-of-efficient-search-schemes-for-the-inference-of-cancer-progression-models-1703.03038"/></url>
<url><loc>https://scifaro.com/en/abs/combining-bayesian-approaches-and-evolutionary-techniques-for-the-inference-of-breast-cancer-networks-1703.03041</loc><lastmod>2017-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-bayesian-approaches-and-evolutionary-techniques-for-the-inference-of-breast-cancer-networks-1703.03041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-bayesian-approaches-and-evolutionary-techniques-for-the-inference-of-breast-cancer-networks-1703.03041"/></url>
<url><loc>https://scifaro.com/en/abs/a-gamp-based-low-complexity-sparse-bayesian-learning-algorithm-1703.03044</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gamp-based-low-complexity-sparse-bayesian-learning-algorithm-1703.03044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gamp-based-low-complexity-sparse-bayesian-learning-algorithm-1703.03044"/></url>
<url><loc>https://scifaro.com/en/abs/deep-convolutional-neural-network-inference-with-floating-point-weights-and-fixed-point-activations-1703.03073</loc><lastmod>2017-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-convolutional-neural-network-inference-with-floating-point-weights-and-fixed-point-activations-1703.03073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-convolutional-neural-network-inference-with-floating-point-weights-and-fixed-point-activations-1703.03073"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-computational-strategies-to-learn-the-structure-of-probabilistic-graphical-models-of-cumulative-phenomena-1703.03074</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-computational-strategies-to-learn-the-structure-of-probabilistic-graphical-models-of-cumulative-phenomena-1703.03074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-computational-strategies-to-learn-the-structure-of-probabilistic-graphical-models-of-cumulative-phenomena-1703.03074"/></url>
<url><loc>https://scifaro.com/en/abs/causal-data-science-for-financial-stress-testing-1703.03076</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-data-science-for-financial-stress-testing-1703.03076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-data-science-for-financial-stress-testing-1703.03076"/></url>
<url><loc>https://scifaro.com/en/abs/coordinated-multi-agent-imitation-learning-1703.03121</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coordinated-multi-agent-imitation-learning-1703.03121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coordinated-multi-agent-imitation-learning-1703.03121"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-remember-rare-events-1703.03129</loc><lastmod>2017-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-remember-rare-events-1703.03129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-remember-rare-events-1703.03129"/></url>
<url><loc>https://scifaro.com/en/abs/learning-active-learning-from-data-1703.03365</loc><lastmod>2017-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-active-learning-from-data-1703.03365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-active-learning-from-data-1703.03365"/></url>
<url><loc>https://scifaro.com/en/abs/visual-interactive-similarity-search-for-complex-objects-by-example-of-soccer-player-analysis-1703.03385</loc><lastmod>2017-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-interactive-similarity-search-for-complex-objects-by-example-of-soccer-player-analysis-1703.03385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-interactive-similarity-search-for-complex-objects-by-example-of-soccer-player-analysis-1703.03385"/></url>
<url><loc>https://scifaro.com/en/abs/model-agnostic-meta-learning-for-fast-adaptation-of-deep-networks-1703.03400</loc><lastmod>2017-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-agnostic-meta-learning-for-fast-adaptation-of-deep-networks-1703.03400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-agnostic-meta-learning-for-fast-adaptation-of-deep-networks-1703.03400"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-feature-selection-for-factored-mdps-1703.03454</loc><lastmod>2017-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-feature-selection-for-factored-mdps-1703.03454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-feature-selection-for-factored-mdps-1703.03454"/></url>
<url><loc>https://scifaro.com/en/abs/deep-radial-kernel-networks-approximating-radially-symmetric-functions-with-deep-networks-1703.03470</loc><lastmod>2017-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-radial-kernel-networks-approximating-radially-symmetric-functions-with-deep-networks-1703.03470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-radial-kernel-networks-approximating-radially-symmetric-functions-with-deep-networks-1703.03470"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-abstention-1703.03478</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-abstention-1703.03478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-abstention-1703.03478"/></url>
<url><loc>https://scifaro.com/en/abs/learning-gradient-descent-better-generalization-and-longer-horizons-1703.03633</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-gradient-descent-better-generalization-and-longer-horizons-1703.03633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-gradient-descent-better-generalization-and-longer-horizons-1703.03633"/></url>
<url><loc>https://scifaro.com/en/abs/right-for-the-right-reasons-training-differentiable-models-by-constraining-their-explanations-1703.03717</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/right-for-the-right-reasons-training-differentiable-models-by-constraining-their-explanations-1703.03717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/right-for-the-right-reasons-training-differentiable-models-by-constraining-their-explanations-1703.03717"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-in-customer-churn-prediction-unsupervised-feature-learning-on-abstract-company-independent-feature-vectors-1703.03869</loc><lastmod>2017-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-in-customer-churn-prediction-unsupervised-feature-learning-on-abstract-company-independent-feature-vectors-1703.03869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-in-customer-churn-prediction-unsupervised-feature-learning-on-abstract-company-independent-feature-vectors-1703.03869"/></url>
<url><loc>https://scifaro.com/en/abs/recruiting-from-the-network-discovering-twitter-users-who-can-help-combat-zika-epidemics-1703.03928</loc><lastmod>2017-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recruiting-from-the-network-discovering-twitter-users-who-can-help-combat-zika-epidemics-1703.03928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recruiting-from-the-network-discovering-twitter-users-who-can-help-combat-zika-epidemics-1703.03928"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-and-control-with-temporal-segment-models-1703.04070</loc><lastmod>2017-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-and-control-with-temporal-segment-models-1703.04070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-and-control-with-temporal-segment-models-1703.04070"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-local-learning-for-latent-graphical-models-1703.04082</loc><lastmod>2017-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-local-learning-for-latent-graphical-models-1703.04082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-local-learning-for-latent-graphical-models-1703.04082"/></url>
<url><loc>https://scifaro.com/en/abs/autoregressive-convolutional-neural-networks-for-asynchronous-time-series-1703.04122</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoregressive-convolutional-neural-networks-for-asynchronous-time-series-1703.04122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoregressive-convolutional-neural-networks-for-asynchronous-time-series-1703.04122"/></url>
<url><loc>https://scifaro.com/en/abs/multiscale-hierarchical-convolutional-networks-1703.04140</loc><lastmod>2017-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiscale-hierarchical-convolutional-networks-1703.04140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiscale-hierarchical-convolutional-networks-1703.04140"/></url>
<url><loc>https://scifaro.com/en/abs/leak-event-identification-in-water-systems-using-high-order-crf-1703.04170</loc><lastmod>2017-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leak-event-identification-in-water-systems-using-high-order-crf-1703.04170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leak-event-identification-in-water-systems-using-high-order-crf-1703.04170"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-through-synaptic-intelligence-1703.04200</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-through-synaptic-intelligence-1703.04200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-through-synaptic-intelligence-1703.04200"/></url>
<url><loc>https://scifaro.com/en/abs/spartan-scalable-parafac2-for-large-sparse-data-1703.04219</loc><lastmod>2017-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spartan-scalable-parafac2-for-large-sparse-data-1703.04219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spartan-scalable-parafac2-for-large-sparse-data-1703.04219"/></url>
<url><loc>https://scifaro.com/en/abs/conjugate-computation-variational-inference-converting-variational-inference-in-non-conjugate-models-to-inferences-in-conjugate-models-1703.04265</loc><lastmod>2017-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conjugate-computation-variational-inference-converting-variational-inference-in-non-conjugate-models-to-inferences-in-conjugate-models-1703.04265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conjugate-computation-variational-inference-converting-variational-inference-in-non-conjugate-models-to-inferences-in-conjugate-models-1703.04265"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-local-permutations-and-delayed-feedback-1703.04274</loc><lastmod>2017-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-local-permutations-and-delayed-feedback-1703.04274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-local-permutations-and-delayed-feedback-1703.04274"/></url>
<url><loc>https://scifaro.com/en/abs/blocking-transferability-of-adversarial-examples-in-black-box-learning-systems-1703.04318</loc><lastmod>2017-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blocking-transferability-of-adversarial-examples-in-black-box-learning-systems-1703.04318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blocking-transferability-of-adversarial-examples-in-black-box-learning-systems-1703.04318"/></url>
<url><loc>https://scifaro.com/en/abs/deep-value-networks-learn-to-evaluate-and-iteratively-refine-structured-outputs-1703.04363</loc><lastmod>2017-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-value-networks-learn-to-evaluate-and-iteratively-refine-structured-outputs-1703.04363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-value-networks-learn-to-evaluate-and-iteratively-refine-structured-outputs-1703.04363"/></url>
<url><loc>https://scifaro.com/en/abs/langevin-dynamics-with-continuous-tempering-for-training-deep-neural-networks-1703.04379</loc><lastmod>2017-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/langevin-dynamics-with-continuous-tempering-for-training-deep-neural-networks-1703.04379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/langevin-dynamics-with-continuous-tempering-for-training-deep-neural-networks-1703.04379"/></url>
<url><loc>https://scifaro.com/en/abs/task-based-end-to-end-model-learning-in-stochastic-optimization-1703.04529</loc><lastmod>2019-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-based-end-to-end-model-learning-in-stochastic-optimization-1703.04529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-based-end-to-end-model-learning-in-stochastic-optimization-1703.04529"/></url>
<url><loc>https://scifaro.com/en/abs/tree-memory-networks-for-modelling-long-term-temporal-dependencies-1703.04706</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-memory-networks-for-modelling-long-term-temporal-dependencies-1703.04706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-memory-networks-for-modelling-long-term-temporal-dependencies-1703.04706"/></url>
<url><loc>https://scifaro.com/en/abs/separation-of-time-scales-and-direct-computation-of-weights-in-deep-neural-networks-1703.04757</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/separation-of-time-scales-and-direct-computation-of-weights-in-deep-neural-networks-1703.04757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/separation-of-time-scales-and-direct-computation-of-weights-in-deep-neural-networks-1703.04757"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-rate-adaptation-with-hypergradient-descent-1703.04782</loc><lastmod>2018-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-rate-adaptation-with-hypergradient-descent-1703.04782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-rate-adaptation-with-hypergradient-descent-1703.04782"/></url>
<url><loc>https://scifaro.com/en/abs/learned-optimizers-that-scale-and-generalize-1703.04813</loc><lastmod>2017-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learned-optimizers-that-scale-and-generalize-1703.04813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learned-optimizers-that-scale-and-generalize-1703.04813"/></url>
<url><loc>https://scifaro.com/en/abs/neural-graph-machines-learning-neural-networks-using-graphs-1703.04818</loc><lastmod>2017-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-graph-machines-learning-neural-networks-using-graphs-1703.04818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-graph-machines-learning-neural-networks-using-graphs-1703.04818"/></url>
<url><loc>https://scifaro.com/en/abs/budgeted-batch-bayesian-optimization-with-unknown-batch-sizes-1703.04842</loc><lastmod>2017-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/budgeted-batch-bayesian-optimization-with-unknown-batch-sizes-1703.04842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/budgeted-batch-bayesian-optimization-with-unknown-batch-sizes-1703.04842"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-optimal-learning-of-gaussian-graphical-models-1703.04886</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-optimal-learning-of-gaussian-graphical-models-1703.04886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-optimal-learning-of-gaussian-graphical-models-1703.04886"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-stochastic-quasi-newton-algorithm-with-variance-reduction-and-its-convergence-analysis-1703.04890</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-stochastic-quasi-newton-algorithm-with-variance-reduction-and-its-convergence-analysis-1703.04890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-stochastic-quasi-newton-algorithm-with-variance-reduction-and-its-convergence-analysis-1703.04890"/></url>
<url><loc>https://scifaro.com/en/abs/sharp-minima-can-generalize-for-deep-nets-1703.04933</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharp-minima-can-generalize-for-deep-nets-1703.04933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharp-minima-can-generalize-for-deep-nets-1703.04933"/></url>
<url><loc>https://scifaro.com/en/abs/resilience-a-criterion-for-learning-in-the-presence-of-arbitrary-outliers-1703.04940</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resilience-a-criterion-for-learning-in-the-presence-of-arbitrary-outliers-1703.04940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resilience-a-criterion-for-learning-in-the-presence-of-arbitrary-outliers-1703.04940"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-with-convolutional-neural-networks-for-eeg-decoding-and-visualization-1703.05051</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-with-convolutional-neural-networks-for-eeg-decoding-and-visualization-1703.05051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-with-convolutional-neural-networks-for-eeg-decoding-and-visualization-1703.05051"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-for-distribution-free-prediction-1703.05060</loc><lastmod>2017-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-for-distribution-free-prediction-1703.05060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-for-distribution-free-prediction-1703.05060"/></url>
<url><loc>https://scifaro.com/en/abs/prototypical-networks-for-few-shot-learning-1703.05175</loc><lastmod>2017-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prototypical-networks-for-few-shot-learning-1703.05175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prototypical-networks-for-few-shot-learning-1703.05175"/></url>
<url><loc>https://scifaro.com/en/abs/deep-embedding-forest-forest-based-serving-with-deep-embedding-features-1703.05291</loc><lastmod>2017-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-embedding-forest-forest-based-serving-with-deep-embedding-features-1703.05291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-embedding-forest-forest-based-serving-with-deep-embedding-features-1703.05291"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-for-beginners-a-fast-implementation-in-matlab-torch-tensorflow-1703.05298</loc><lastmod>2017-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-for-beginners-a-fast-implementation-in-matlab-torch-tensorflow-1703.05298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-for-beginners-a-fast-implementation-in-matlab-torch-tensorflow-1703.05298"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-motivation-and-automatic-curricula-via-asymmetric-self-play-1703.05407</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-motivation-and-automatic-curricula-via-asymmetric-self-play-1703.05407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-motivation-and-automatic-curricula-via-asymmetric-self-play-1703.05407"/></url>
<url><loc>https://scifaro.com/en/abs/aggregation-of-classifiers-a-justifiable-information-granularity-approach-1703.05411</loc><lastmod>2017-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregation-of-classifiers-a-justifiable-information-granularity-approach-1703.05411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregation-of-classifiers-a-justifiable-information-granularity-approach-1703.05411"/></url>
<url><loc>https://scifaro.com/en/abs/shift-aggregate-extract-networks-1703.05537</loc><lastmod>2024-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shift-aggregate-extract-networks-1703.05537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shift-aggregate-extract-networks-1703.05537"/></url>
<url><loc>https://scifaro.com/en/abs/particle-value-functions-1703.05820</loc><lastmod>2017-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-value-functions-1703.05820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-value-functions-1703.05820"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-accelerated-lazy-stochastic-gradient-descent-1703.05840</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-accelerated-lazy-stochastic-gradient-descent-1703.05840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-accelerated-lazy-stochastic-gradient-descent-1703.05840"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-for-offloading-and-autoscaling-in-energy-harvesting-mobile-edge-computing-1703.06060</loc><lastmod>2017-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-for-offloading-and-autoscaling-in-energy-harvesting-mobile-edge-computing-1703.06060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-for-offloading-and-autoscaling-in-energy-harvesting-mobile-edge-computing-1703.06060"/></url>
<url><loc>https://scifaro.com/en/abs/deep-sets-1703.06114</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-sets-1703.06114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-sets-1703.06114"/></url>
<url><loc>https://scifaro.com/en/abs/effective-evaluation-using-logged-bandit-feedback-from-multiple-loggers-1703.06180</loc><lastmod>2017-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-evaluation-using-logged-bandit-feedback-from-multiple-loggers-1703.06180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-evaluation-using-logged-bandit-feedback-from-multiple-loggers-1703.06180"/></url>
<url><loc>https://scifaro.com/en/abs/deep-decentralized-multi-task-multi-agent-reinforcement-learning-under-partial-observability-1703.06182</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-decentralized-multi-task-multi-agent-reinforcement-learning-under-partial-observability-1703.06182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-decentralized-multi-task-multi-agent-reinforcement-learning-under-partial-observability-1703.06182"/></url>
<url><loc>https://scifaro.com/en/abs/an-automated-auto-encoder-correlation-based-health-monitoring-and-prognostic-method-for-machine-bearings-1703.06272</loc><lastmod>2017-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-automated-auto-encoder-correlation-based-health-monitoring-and-prognostic-method-for-machine-bearings-1703.06272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-automated-auto-encoder-correlation-based-health-monitoring-and-prognostic-method-for-machine-bearings-1703.06272"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-with-competitive-infection-models-1703.06426</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-with-competitive-infection-models-1703.06426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-with-competitive-infection-models-1703.06426"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-hamiltonian-control-and-learning-via-chattering-1703.06485</loc><lastmod>2017-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-hamiltonian-control-and-learning-via-chattering-1703.06485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-hamiltonian-control-and-learning-via-chattering-1703.06485"/></url>
<url><loc>https://scifaro.com/en/abs/generating-multi-label-discrete-patient-records-using-generative-adversarial-networks-1703.06490</loc><lastmod>2018-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-multi-label-discrete-patient-records-using-generative-adversarial-networks-1703.06490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-multi-label-discrete-patient-records-using-generative-adversarial-networks-1703.06490"/></url>
<url><loc>https://scifaro.com/en/abs/bernoulli-rank-1-bandits-for-click-feedback-1703.06513</loc><lastmod>2017-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bernoulli-rank-1-bandits-for-click-feedback-1703.06513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bernoulli-rank-1-bandits-for-click-feedback-1703.06513"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-collective-classification-1703.06514</loc><lastmod>2017-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-collective-classification-1703.06514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-collective-classification-1703.06514"/></url>
<url><loc>https://scifaro.com/en/abs/the-relationship-between-agnostic-selective-classification-active-learning-and-the-disagreement-coefficient-1703.06536</loc><lastmod>2017-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-relationship-between-agnostic-selective-classification-active-learning-and-the-disagreement-coefficient-1703.06536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-relationship-between-agnostic-selective-classification-active-learning-and-the-disagreement-coefficient-1703.06536"/></url>
<url><loc>https://scifaro.com/en/abs/a-systematic-study-of-online-class-imbalance-learning-with-concept-drift-1703.06683</loc><lastmod>2017-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-systematic-study-of-online-class-imbalance-learning-with-concept-drift-1703.06683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-systematic-study-of-online-class-imbalance-learning-with-concept-drift-1703.06683"/></url>
<url><loc>https://scifaro.com/en/abs/independence-clustering-without-a-matrix-1703.06700</loc><lastmod>2017-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/independence-clustering-without-a-matrix-1703.06700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/independence-clustering-without-a-matrix-1703.06700"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effect-of-pooling-on-the-geometry-of-representations-1703.06726</loc><lastmod>2017-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effect-of-pooling-on-the-geometry-of-representations-1703.06726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effect-of-pooling-on-the-geometry-of-representations-1703.06726"/></url>
<url><loc>https://scifaro.com/en/abs/tactics-of-adversarial-attack-on-deep-reinforcement-learning-agents-1703.06748</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tactics-of-adversarial-attack-on-deep-reinforcement-learning-agents-1703.06748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tactics-of-adversarial-attack-on-deep-reinforcement-learning-agents-1703.06748"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-use-of-default-parameter-settings-in-the-empirical-evaluation-of-classification-algorithms-1703.06777</loc><lastmod>2017-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-use-of-default-parameter-settings-in-the-empirical-evaluation-of-classification-algorithms-1703.06777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-use-of-default-parameter-settings-in-the-empirical-evaluation-of-classification-algorithms-1703.06777"/></url>
<url><loc>https://scifaro.com/en/abs/guaranteed-sufficient-decrease-for-variance-reduced-stochastic-gradient-descent-1703.06807</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guaranteed-sufficient-decrease-for-variance-reduced-stochastic-gradient-descent-1703.06807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guaranteed-sufficient-decrease-for-variance-reduced-stochastic-gradient-descent-1703.06807"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-dilated-convolutional-networks-with-mixed-tensor-decompositions-1703.06846</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-dilated-convolutional-networks-with-mixed-tensor-decompositions-1703.06846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-dilated-convolutional-networks-with-mixed-tensor-decompositions-1703.06846"/></url>
<url><loc>https://scifaro.com/en/abs/dance-dance-convolution-1703.06891</loc><lastmod>2017-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dance-dance-convolution-1703.06891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dance-dance-convolution-1703.06891"/></url>
<url><loc>https://scifaro.com/en/abs/applying-deep-machine-learning-for-psycho-demographic-profiling-of-internet-users-using-o-c-e-a-n-model-of-personality-1703.06914</loc><lastmod>2017-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-deep-machine-learning-for-psycho-demographic-profiling-of-internet-users-using-o-c-e-a-n-model-of-personality-1703.06914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-deep-machine-learning-for-psycho-demographic-profiling-of-internet-users-using-o-c-e-a-n-model-of-personality-1703.06914"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-optimization-in-machine-learning-with-trust-region-based-derivative-free-algorithm-1703.06925</loc><lastmod>2017-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-optimization-in-machine-learning-with-trust-region-based-derivative-free-algorithm-1703.06925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-optimization-in-machine-learning-with-trust-region-based-derivative-free-algorithm-1703.06925"/></url>
<url><loc>https://scifaro.com/en/abs/csi-a-hybrid-deep-model-for-fake-news-detection-1703.06959</loc><lastmod>2017-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/csi-a-hybrid-deep-model-for-fake-news-detection-1703.06959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/csi-a-hybrid-deep-model-for-fake-news-detection-1703.06959"/></url>
<url><loc>https://scifaro.com/en/abs/metalearning-for-feature-selection-1703.06990</loc><lastmod>2017-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metalearning-for-feature-selection-1703.06990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metalearning-for-feature-selection-1703.06990"/></url>
<url><loc>https://scifaro.com/en/abs/the-use-of-autoencoders-for-discovering-patient-phenotypes-1703.07004</loc><lastmod>2017-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-use-of-autoencoders-for-discovering-patient-phenotypes-1703.07004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-use-of-autoencoders-for-discovering-patient-phenotypes-1703.07004"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-long-and-short-term-temporal-patterns-with-deep-neural-networks-1703.07015</loc><lastmod>2018-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-long-and-short-term-temporal-patterns-with-deep-neural-networks-1703.07015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-long-and-short-term-temporal-patterns-with-deep-neural-networks-1703.07015"/></url>
<url><loc>https://scifaro.com/en/abs/cross-modal-deep-metric-learning-with-multi-task-regularization-1703.07026</loc><lastmod>2017-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-modal-deep-metric-learning-with-multi-task-regularization-1703.07026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-modal-deep-metric-learning-with-multi-task-regularization-1703.07026"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-variational-auto-encoders-for-hierarchical-representation-learning-1703.07027</loc><lastmod>2017-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-variational-auto-encoders-for-hierarchical-representation-learning-1703.07027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-variational-auto-encoders-for-hierarchical-representation-learning-1703.07027"/></url>
<url><loc>https://scifaro.com/en/abs/smiles-enumeration-as-data-augmentation-for-neural-network-modeling-of-molecules-1703.07076</loc><lastmod>2017-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smiles-enumeration-as-data-augmentation-for-neural-network-modeling-of-molecules-1703.07076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smiles-enumeration-as-data-augmentation-for-neural-network-modeling-of-molecules-1703.07076"/></url>
<url><loc>https://scifaro.com/en/abs/layer-wise-training-of-deep-networks-using-kernel-similarity-1703.07115</loc><lastmod>2017-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layer-wise-training-of-deep-networks-using-kernel-similarity-1703.07115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layer-wise-training-of-deep-networks-using-kernel-similarity-1703.07115"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-projection-operator-to-a-three-view-cardinality-constrained-set-1703.07345</loc><lastmod>2017-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-projection-operator-to-a-three-view-cardinality-constrained-set-1703.07345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-projection-operator-to-a-three-view-cardinality-constrained-set-1703.07345"/></url>
<url><loc>https://scifaro.com/en/abs/cnn-merp-an-fpga-based-memory-efficient-reconfigurable-processor-for-forward-and-backward-propagation-of-convolutional-neural-networks-1703.07348</loc><lastmod>2017-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cnn-merp-an-fpga-based-memory-efficient-reconfigurable-processor-for-forward-and-backward-propagation-of-convolutional-neural-networks-1703.07348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cnn-merp-an-fpga-based-memory-efficient-reconfigurable-processor-for-forward-and-backward-propagation-of-convolutional-neural-networks-1703.07348"/></url>
<url><loc>https://scifaro.com/en/abs/rebar-low-variance-unbiased-gradient-estimates-for-discrete-latent-variable-models-1703.07370</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rebar-low-variance-unbiased-gradient-estimates-for-discrete-latent-variable-models-1703.07370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rebar-low-variance-unbiased-gradient-estimates-for-discrete-latent-variable-models-1703.07370"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-pac-learning-from-the-crowd-1703.07432</loc><lastmod>2017-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-pac-learning-from-the-crowd-1703.07432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-pac-learning-from-the-crowd-1703.07432"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-for-different-scales-of-measurement-the-gap-ratio-weighted-k-means-algorithm-1703.07625</loc><lastmod>2017-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-for-different-scales-of-measurement-the-gap-ratio-weighted-k-means-algorithm-1703.07625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-for-different-scales-of-measurement-the-gap-ratio-weighted-k-means-algorithm-1703.07625"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-based-source-code-classification-using-syntax-oriented-features-1703.07638</loc><lastmod>2017-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-based-source-code-classification-using-syntax-oriented-features-1703.07638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-based-source-code-classification-using-syntax-oriented-features-1703.07638"/></url>
<url><loc>https://scifaro.com/en/abs/characterization-of-deterministic-and-probabilistic-sampling-patterns-for-finite-completability-of-low-tensor-train-rank-tensor-1703.07698</loc><lastmod>2017-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterization-of-deterministic-and-probabilistic-sampling-patterns-for-finite-completability-of-low-tensor-train-rank-tensor-1703.07698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterization-of-deterministic-and-probabilistic-sampling-patterns-for-finite-completability-of-low-tensor-train-rank-tensor-1703.07698"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-pac-and-regret-uniform-pac-bounds-for-episodic-reinforcement-learning-1703.07710</loc><lastmod>2018-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-pac-and-regret-uniform-pac-bounds-for-episodic-reinforcement-learning-1703.07710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-pac-and-regret-uniform-pac-bounds-for-episodic-reinforcement-learning-1703.07710"/></url>
<url><loc>https://scifaro.com/en/abs/independently-controllable-features-1703.07718</loc><lastmod>2017-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/independently-controllable-features-1703.07718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/independently-controllable-features-1703.07718"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-partition-using-score-based-compatibilities-1703.07807</loc><lastmod>2017-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-partition-using-score-based-compatibilities-1703.07807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-partition-using-score-based-compatibilities-1703.07807"/></url>
<url><loc>https://scifaro.com/en/abs/fake-news-mitigation-via-point-process-based-intervention-1703.07823</loc><lastmod>2017-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fake-news-mitigation-via-point-process-based-intervention-1703.07823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fake-news-mitigation-via-point-process-based-intervention-1703.07823"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-kernel-methods-for-least-squares-support-vector-machines-1703.07830</loc><lastmod>2017-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-kernel-methods-for-least-squares-support-vector-machines-1703.07830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-kernel-methods-for-least-squares-support-vector-machines-1703.07830"/></url>
<url><loc>https://scifaro.com/en/abs/faster-reinforcement-learning-using-active-simulators-1703.07853</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-reinforcement-learning-using-active-simulators-1703.07853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-reinforcement-learning-using-active-simulators-1703.07853"/></url>
<url><loc>https://scifaro.com/en/abs/random-features-for-compositional-kernels-1703.07872</loc><lastmod>2017-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-features-for-compositional-kernels-1703.07872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-features-for-compositional-kernels-1703.07872"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-basis-function-adaptation-for-reinforcement-learning-1703.07940</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-basis-function-adaptation-for-reinforcement-learning-1703.07940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-basis-function-adaptation-for-reinforcement-learning-1703.07940"/></url>
<url><loc>https://scifaro.com/en/abs/fast-stochastic-variance-reduced-gradient-method-with-momentum-acceleration-for-machine-learning-1703.07948</loc><lastmod>2017-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-stochastic-variance-reduced-gradient-method-with-momentum-acceleration-for-machine-learning-1703.07948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-stochastic-variance-reduced-gradient-method-with-momentum-acceleration-for-machine-learning-1703.07948"/></url>
<url><loc>https://scifaro.com/en/abs/failures-of-gradient-based-deep-learning-1703.07950</loc><lastmod>2017-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/failures-of-gradient-based-deep-learning-1703.07950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/failures-of-gradient-based-deep-learning-1703.07950"/></url>
<url><loc>https://scifaro.com/en/abs/online-distributed-learning-over-networks-in-rkh-spaces-using-random-fourier-features-1703.08131</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-distributed-learning-over-networks-in-rkh-spaces-using-random-fourier-features-1703.08131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-distributed-learning-over-networks-in-rkh-spaces-using-random-fourier-features-1703.08131"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-robustness-of-convolutional-neural-networks-to-internal-architecture-and-weight-perturbations-1703.08245</loc><lastmod>2017-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-robustness-of-convolutional-neural-networks-to-internal-architecture-and-weight-perturbations-1703.08245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-robustness-of-convolutional-neural-networks-to-internal-architecture-and-weight-perturbations-1703.08245"/></url>
<url><loc>https://scifaro.com/en/abs/experimental-identification-of-hard-data-sets-for-classification-and-feature-selection-methods-with-insights-on-method-selection-1703.08283</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/experimental-identification-of-hard-data-sets-for-classification-and-feature-selection-methods-with-insights-on-method-selection-1703.08283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/experimental-identification-of-hard-data-sets-for-classification-and-feature-selection-methods-with-insights-on-method-selection-1703.08283"/></url>
<url><loc>https://scifaro.com/en/abs/multi-level-discovery-of-deep-options-1703.08294</loc><lastmod>2017-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-level-discovery-of-deep-options-1703.08294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-level-discovery-of-deep-options-1703.08294"/></url>
<url><loc>https://scifaro.com/en/abs/asymmetric-learning-vector-quantization-for-efficient-nearest-neighbor-classification-in-dynamic-time-warping-spaces-1703.08403</loc><lastmod>2017-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymmetric-learning-vector-quantization-for-efficient-nearest-neighbor-classification-in-dynamic-time-warping-spaces-1703.08403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymmetric-learning-vector-quantization-for-efficient-nearest-neighbor-classification-in-dynamic-time-warping-spaces-1703.08403"/></url>
<url><loc>https://scifaro.com/en/abs/linear-classifier-design-under-heteroscedasticity-in-linear-discriminant-analysis-1703.08434</loc><lastmod>2017-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-classifier-design-under-heteroscedasticity-in-linear-discriminant-analysis-1703.08434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-classifier-design-under-heteroscedasticity-in-linear-discriminant-analysis-1703.08434"/></url>
<url><loc>https://scifaro.com/en/abs/k-means-clustering-using-tabu-search-with-quantized-means-1703.08440</loc><lastmod>2017-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-means-clustering-using-tabu-search-with-quantized-means-1703.08440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-means-clustering-using-tabu-search-with-quantized-means-1703.08440"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-by-incremental-moment-matching-1703.08475</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-by-incremental-moment-matching-1703.08475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-by-incremental-moment-matching-1703.08475"/></url>
<url><loc>https://scifaro.com/en/abs/joint-modeling-of-event-sequence-and-time-series-with-attentional-twin-recurrent-neural-networks-1703.08524</loc><lastmod>2017-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-modeling-of-event-sequence-and-time-series-with-attentional-twin-recurrent-neural-networks-1703.08524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-modeling-of-event-sequence-and-time-series-with-attentional-twin-recurrent-neural-networks-1703.08524"/></url>
<url><loc>https://scifaro.com/en/abs/low-precision-neural-networks-using-subband-decomposition-1703.08595</loc><lastmod>2017-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-precision-neural-networks-using-subband-decomposition-1703.08595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-precision-neural-networks-using-subband-decomposition-1703.08595"/></url>
<url><loc>https://scifaro.com/en/abs/exploration-exploitation-in-mdps-with-options-1703.08667</loc><lastmod>2017-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploration-exploitation-in-mdps-with-options-1703.08667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploration-exploitation-in-mdps-with-options-1703.08667"/></url>
<url><loc>https://scifaro.com/en/abs/who-said-what-modeling-individual-labelers-improves-classification-1703.08774</loc><lastmod>2018-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/who-said-what-modeling-individual-labelers-improves-classification-1703.08774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/who-said-what-modeling-individual-labelers-improves-classification-1703.08774"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-in-graph-based-classification-of-high-dimensional-data-1703.08816</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-in-graph-based-classification-of-high-dimensional-data-1703.08816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-in-graph-based-classification-of-high-dimensional-data-1703.08816"/></url>
<url><loc>https://scifaro.com/en/abs/infogail-interpretable-imitation-learning-from-visual-demonstrations-1703.08840</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infogail-interpretable-imitation-learning-from-visual-demonstrations-1703.08840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infogail-interpretable-imitation-learning-from-visual-demonstrations-1703.08840"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-instance-learning-with-the-optimal-sub-pattern-assignment-metric-1703.08933</loc><lastmod>2017-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-instance-learning-with-the-optimal-sub-pattern-assignment-metric-1703.08933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-instance-learning-with-the-optimal-sub-pattern-assignment-metric-1703.08933"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-deep-learning-approach-for-joint-eeg-emg-data-compression-and-classification-1703.08970</loc><lastmod>2017-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-deep-learning-approach-for-joint-eeg-emg-data-compression-and-classification-1703.08970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-deep-learning-approach-for-joint-eeg-emg-data-compression-and-classification-1703.08970"/></url>
<url><loc>https://scifaro.com/en/abs/make-hawkes-processes-explainable-by-decomposing-self-triggering-kernels-1703.09068</loc><lastmod>2020-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/make-hawkes-processes-explainable-by-decomposing-self-triggering-kernels-1703.09068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/make-hawkes-processes-explainable-by-decomposing-self-triggering-kernels-1703.09068"/></url>
<url><loc>https://scifaro.com/en/abs/gpu-activity-prediction-using-representation-learning-1703.09146</loc><lastmod>2017-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gpu-activity-prediction-using-representation-learning-1703.09146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gpu-activity-prediction-using-representation-learning-1703.09146"/></url>
<url><loc>https://scifaro.com/en/abs/deep-architectures-for-modulation-recognition-1703.09197</loc><lastmod>2017-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-architectures-for-modulation-recognition-1703.09197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-architectures-for-modulation-recognition-1703.09197"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-simulation-based-training-of-ai-decision-makers-using-bayesian-optimization-1703.09310</loc><lastmod>2017-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-simulation-based-training-of-ai-decision-makers-using-bayesian-optimization-1703.09310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-simulation-based-training-of-ai-decision-makers-using-bayesian-optimization-1703.09310"/></url>
<url><loc>https://scifaro.com/en/abs/dart-noise-injection-for-robust-imitation-learning-1703.09327</loc><lastmod>2018-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dart-noise-injection-for-robust-imitation-learning-1703.09327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dart-noise-injection-for-robust-imitation-learning-1703.09327"/></url>
<url><loc>https://scifaro.com/en/abs/ensembles-of-deep-lstm-learners-for-activity-recognition-using-wearables-1703.09370</loc><lastmod>2018-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensembles-of-deep-lstm-learners-for-activity-recognition-using-wearables-1703.09370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensembles-of-deep-lstm-learners-for-activity-recognition-using-wearables-1703.09370"/></url>
<url><loc>https://scifaro.com/en/abs/factoring-exogenous-state-for-model-free-monte-carlo-1703.09390</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factoring-exogenous-state-for-model-free-monte-carlo-1703.09390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factoring-exogenous-state-for-model-free-monte-carlo-1703.09390"/></url>
<url><loc>https://scifaro.com/en/abs/fast-optimization-of-wildfire-suppression-policies-with-smac-1703.09391</loc><lastmod>2017-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-optimization-of-wildfire-suppression-policies-with-smac-1703.09391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-optimization-of-wildfire-suppression-policies-with-smac-1703.09391"/></url>
<url><loc>https://scifaro.com/en/abs/segan-speech-enhancement-generative-adversarial-network-1703.09452</loc><lastmod>2017-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/segan-speech-enhancement-generative-adversarial-network-1703.09452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/segan-speech-enhancement-generative-adversarial-network-1703.09452"/></url>
<url><loc>https://scifaro.com/en/abs/simulated-data-experiments-for-time-series-classification-part-1-accuracy-comparison-with-default-settings-1703.09480</loc><lastmod>2017-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulated-data-experiments-for-time-series-classification-part-1-accuracy-comparison-with-default-settings-1703.09480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulated-data-experiments-for-time-series-classification-part-1-accuracy-comparison-with-default-settings-1703.09480"/></url>
<url><loc>https://scifaro.com/en/abs/early-stopping-without-a-validation-set-1703.09580</loc><lastmod>2017-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-stopping-without-a-validation-set-1703.09580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-stopping-without-a-validation-set-1703.09580"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-clustering-based-on-content-and-connection-structure-using-joint-nonnegative-matrix-factorization-1703.09646</loc><lastmod>2017-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-clustering-based-on-content-and-connection-structure-using-joint-nonnegative-matrix-factorization-1703.09646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-clustering-based-on-content-and-connection-structure-using-joint-nonnegative-matrix-factorization-1703.09646"/></url>
<url><loc>https://scifaro.com/en/abs/structural-damage-identification-using-artificial-neural-network-and-synthetic-data-1703.09651</loc><lastmod>2017-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-damage-identification-using-artificial-neural-network-and-synthetic-data-1703.09651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-damage-identification-using-artificial-neural-network-and-synthetic-data-1703.09651"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-reinforcement-learning-from-summary-data-1703.09700</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-from-summary-data-1703.09700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-from-summary-data-1703.09700"/></url>
<url><loc>https://scifaro.com/en/abs/collective-anomaly-detection-based-on-long-short-term-memory-recurrent-neural-network-1703.09752</loc><lastmod>2017-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collective-anomaly-detection-based-on-long-short-term-memory-recurrent-neural-network-1703.09752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collective-anomaly-detection-based-on-long-short-term-memory-recurrent-neural-network-1703.09752"/></url>
<url><loc>https://scifaro.com/en/abs/disruptive-event-classification-using-pmu-data-in-distribution-networks-1703.09800</loc><lastmod>2017-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disruptive-event-classification-using-pmu-data-in-distribution-networks-1703.09800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disruptive-event-classification-using-pmu-data-in-distribution-networks-1703.09800"/></url>
<url><loc>https://scifaro.com/en/abs/theory-ii-landscape-of-the-empirical-risk-in-deep-learning-1703.09833</loc><lastmod>2017-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-ii-landscape-of-the-empirical-risk-in-deep-learning-1703.09833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-ii-landscape-of-the-empirical-risk-in-deep-learning-1703.09833"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-risk-sensitive-reinforcement-learning-1703.09842</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-risk-sensitive-reinforcement-learning-1703.09842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-risk-sensitive-reinforcement-learning-1703.09842"/></url>
<url><loc>https://scifaro.com/en/abs/multi-scale-dense-networks-for-resource-efficient-image-classification-1703.09844</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-scale-dense-networks-for-resource-efficient-image-classification-1703.09844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-scale-dense-networks-for-resource-efficient-image-classification-1703.09844"/></url>
<url><loc>https://scifaro.com/en/abs/solar-power-forecasting-using-support-vector-regression-1703.09851</loc><lastmod>2017-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solar-power-forecasting-using-support-vector-regression-1703.09851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solar-power-forecasting-using-support-vector-regression-1703.09851"/></url>
<url><loc>https://scifaro.com/en/abs/grouped-convolutional-neural-networks-for-multivariate-time-series-1703.09938</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grouped-convolutional-neural-networks-for-multivariate-time-series-1703.09938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grouped-convolutional-neural-networks-for-multivariate-time-series-1703.09938"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-private-erm-for-smooth-objectives-1703.09947</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-private-erm-for-smooth-objectives-1703.09947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-private-erm-for-smooth-objectives-1703.09947"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-line-searches-for-stochastic-optimization-1703.10034</loc><lastmod>2017-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-line-searches-for-stochastic-optimization-1703.10034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-line-searches-for-stochastic-optimization-1703.10034"/></url>
<url><loc>https://scifaro.com/en/abs/cohesion-based-online-actor-critic-reinforcement-learning-for-mhealth-intervention-1703.10039</loc><lastmod>2017-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cohesion-based-online-actor-critic-reinforcement-learning-for-mhealth-intervention-1703.10039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cohesion-based-online-actor-critic-reinforcement-learning-for-mhealth-intervention-1703.10039"/></url>
<url><loc>https://scifaro.com/en/abs/position-based-content-attention-for-time-series-forecasting-with-sequence-to-sequence-rnns-1703.10089</loc><lastmod>2017-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/position-based-content-attention-for-time-series-forecasting-with-sequence-to-sequence-rnns-1703.10089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/position-based-content-attention-for-time-series-forecasting-with-sequence-to-sequence-rnns-1703.10089"/></url>
<url><loc>https://scifaro.com/en/abs/learning-inverse-mapping-by-autoencoder-based-generative-adversarial-nets-1703.10094</loc><lastmod>2017-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-inverse-mapping-by-autoencoder-based-generative-adversarial-nets-1703.10094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-inverse-mapping-by-autoencoder-based-generative-adversarial-nets-1703.10094"/></url>
<url><loc>https://scifaro.com/en/abs/the-top-10-topics-in-machine-learning-revisited-a-quantitative-meta-study-1703.10121</loc><lastmod>2017-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-top-10-topics-in-machine-learning-revisited-a-quantitative-meta-study-1703.10121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-top-10-topics-in-machine-learning-revisited-a-quantitative-meta-study-1703.10121"/></url>
<url><loc>https://scifaro.com/en/abs/from-deep-to-shallow-transformations-of-deep-rectifier-networks-1703.10355</loc><lastmod>2017-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-deep-to-shallow-transformations-of-deep-rectifier-networks-1703.10355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-deep-to-shallow-transformations-of-deep-rectifier-networks-1703.10355"/></url>
<url><loc>https://scifaro.com/en/abs/simplified-end-to-end-mmi-training-and-voting-for-asr-1703.10356</loc><lastmod>2017-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simplified-end-to-end-mmi-training-and-voting-for-asr-1703.10356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simplified-end-to-end-mmi-training-and-voting-for-asr-1703.10356"/></url>
<url><loc>https://scifaro.com/en/abs/on-fundamental-limits-of-robust-learning-1703.10444</loc><lastmod>2017-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-fundamental-limits-of-robust-learning-1703.10444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-fundamental-limits-of-robust-learning-1703.10444"/></url>
<url><loc>https://scifaro.com/en/abs/atomic-convolutional-networks-for-predicting-protein-ligand-binding-affinity-1703.10603</loc><lastmod>2017-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/atomic-convolutional-networks-for-predicting-protein-ligand-binding-affinity-1703.10603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/atomic-convolutional-networks-for-predicting-protein-ligand-binding-affinity-1703.10603"/></url>
<url><loc>https://scifaro.com/en/abs/qos-aware-multi-armed-bandits-1703.10669</loc><lastmod>2017-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qos-aware-multi-armed-bandits-1703.10669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qos-aware-multi-armed-bandits-1703.10669"/></url>
<url><loc>https://scifaro.com/en/abs/applying-ricci-flow-to-high-dimensional-manifold-learning-1703.10675</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-ricci-flow-to-high-dimensional-manifold-learning-1703.10675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-ricci-flow-to-high-dimensional-manifold-learning-1703.10675"/></url>
<url><loc>https://scifaro.com/en/abs/began-boundary-equilibrium-generative-adversarial-networks-1703.10717</loc><lastmod>2017-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/began-boundary-equilibrium-generative-adversarial-networks-1703.10717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/began-boundary-equilibrium-generative-adversarial-networks-1703.10717"/></url>
<url><loc>https://scifaro.com/en/abs/fundamental-conditions-for-low-cp-rank-tensor-completion-1703.10740</loc><lastmod>2017-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fundamental-conditions-for-low-cp-rank-tensor-completion-1703.10740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fundamental-conditions-for-low-cp-rank-tensor-completion-1703.10740"/></url>
<url><loc>https://scifaro.com/en/abs/learning-visual-servoing-with-deep-features-and-fitted-q-iteration-1703.11000</loc><lastmod>2017-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-visual-servoing-with-deep-features-and-fitted-q-iteration-1703.11000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-visual-servoing-with-deep-features-and-fitted-q-iteration-1703.11000"/></url>
<url><loc>https://scifaro.com/en/abs/computing-nonvacuous-generalization-bounds-for-deep-stochastic-neural-networks-with-many-more-parameters-than-training-data-1703.11008</loc><lastmod>2017-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-nonvacuous-generalization-bounds-for-deep-stochastic-neural-networks-with-many-more-parameters-than-training-data-1703.11008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-nonvacuous-generalization-bounds-for-deep-stochastic-neural-networks-with-many-more-parameters-than-training-data-1703.11008"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-methods-for-nonparametric-models-1704.00003</loc><lastmod>2017-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-methods-for-nonparametric-models-1704.00003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-methods-for-nonparametric-models-1704.00003"/></url>
<url><loc>https://scifaro.com/en/abs/improved-training-of-wasserstein-gans-1704.00028</loc><lastmod>2017-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-training-of-wasserstein-gans-1704.00028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-training-of-wasserstein-gans-1704.00028"/></url>
<url><loc>https://scifaro.com/en/abs/assortment-optimization-under-unknown-multinomial-logit-choice-models-1704.00108</loc><lastmod>2017-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assortment-optimization-under-unknown-multinomial-logit-choice-models-1704.00108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assortment-optimization-under-unknown-multinomial-logit-choice-models-1704.00108"/></url>
<url><loc>https://scifaro.com/en/abs/snapshot-ensembles-train-1-get-m-for-free-1704.00109</loc><lastmod>2017-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/snapshot-ensembles-train-1-get-m-for-free-1704.00109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/snapshot-ensembles-train-1-get-m-for-free-1704.00109"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-based-source-aware-assessment-of-true-robustness-for-learning-models-1704.00158</loc><lastmod>2017-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-based-source-aware-assessment-of-true-robustness-for-learning-models-1704.00158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-based-source-aware-assessment-of-true-robustness-for-learning-models-1704.00158"/></url>
<url><loc>https://scifaro.com/en/abs/online-and-stable-learning-of-analysis-operators-1704.00227</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-and-stable-learning-of-analysis-operators-1704.00227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-and-stable-learning-of-analysis-operators-1704.00227"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-concept-drift-1704.00362</loc><lastmod>2017-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-concept-drift-1704.00362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-concept-drift-1704.00362"/></url>
<url><loc>https://scifaro.com/en/abs/provable-inductive-robust-pca-via-iterative-hard-thresholding-1704.00367</loc><lastmod>2017-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-inductive-robust-pca-via-iterative-hard-thresholding-1704.00367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-inductive-robust-pca-via-iterative-hard-thresholding-1704.00367"/></url>
<url><loc>https://scifaro.com/en/abs/on-kernelized-multi-armed-bandits-1704.00445</loc><lastmod>2017-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-kernelized-multi-armed-bandits-1704.00445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-kernelized-multi-armed-bandits-1704.00445"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-in-hilbert-simplex-geometry-1704.00454</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-in-hilbert-simplex-geometry-1704.00454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-in-hilbert-simplex-geometry-1704.00454"/></url>
<url><loc>https://scifaro.com/en/abs/soft-to-hard-vector-quantization-for-end-to-end-learning-compressible-representations-1704.00648</loc><lastmod>2017-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-to-hard-vector-quantization-for-end-to-end-learning-compressible-representations-1704.00648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-to-hard-vector-quantization-for-end-to-end-learning-compressible-representations-1704.00648"/></url>
<url><loc>https://scifaro.com/en/abs/no-spurious-local-minima-in-nonconvex-low-rank-problems-a-unified-geometric-analysis-1704.00708</loc><lastmod>2017-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-spurious-local-minima-in-nonconvex-low-rank-problems-a-unified-geometric-analysis-1704.00708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-spurious-local-minima-in-nonconvex-low-rank-problems-a-unified-geometric-analysis-1704.00708"/></url>
<url><loc>https://scifaro.com/en/abs/multi-advisor-reinforcement-learning-1704.00756</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-advisor-reinforcement-learning-1704.00756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-advisor-reinforcement-learning-1704.00756"/></url>
<url><loc>https://scifaro.com/en/abs/online-and-linear-time-attention-by-enforcing-monotonic-alignments-1704.00784</loc><lastmod>2017-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-and-linear-time-attention-by-enforcing-monotonic-alignments-1704.00784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-and-linear-time-attention-by-enforcing-monotonic-alignments-1704.00784"/></url>
<url><loc>https://scifaro.com/en/abs/polynomial-time-and-sample-complexity-for-non-gaussian-component-analysis-spectral-methods-1704.01041</loc><lastmod>2017-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polynomial-time-and-sample-complexity-for-non-gaussian-component-analysis-spectral-methods-1704.01041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polynomial-time-and-sample-complexity-for-non-gaussian-component-analysis-spectral-methods-1704.01041"/></url>
<url><loc>https://scifaro.com/en/abs/homotopy-parametric-simplex-method-for-sparse-learning-1704.01079</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/homotopy-parametric-simplex-method-for-sparse-learning-1704.01079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/homotopy-parametric-simplex-method-for-sparse-learning-1704.01079"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-unreported-profile-is-negative-assumption-for-predictive-cheminformatics-1704.01184</loc><lastmod>2017-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-unreported-profile-is-negative-assumption-for-predictive-cheminformatics-1704.01184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-unreported-profile-is-negative-assumption-for-predictive-cheminformatics-1704.01184"/></url>
<url><loc>https://scifaro.com/en/abs/neural-message-passing-for-quantum-chemistry-1704.01212</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-message-passing-for-quantum-chemistry-1704.01212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-message-passing-for-quantum-chemistry-1704.01212"/></url>
<url><loc>https://scifaro.com/en/abs/linear-additive-markov-processes-1704.01255</loc><lastmod>2017-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-additive-markov-processes-1704.01255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-additive-markov-processes-1704.01255"/></url>
<url><loc>https://scifaro.com/en/abs/neural-audio-synthesis-of-musical-notes-with-wavenet-autoencoders-1704.01279</loc><lastmod>2017-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-audio-synthesis-of-musical-notes-with-wavenet-autoencoders-1704.01279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-audio-synthesis-of-musical-notes-with-wavenet-autoencoders-1704.01279"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-learning-with-global-and-local-label-correlation-1704.01415</loc><lastmod>2017-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-learning-with-global-and-local-label-correlation-1704.01415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-learning-with-global-and-local-label-correlation-1704.01415"/></url>
<url><loc>https://scifaro.com/en/abs/amidst-a-java-toolbox-for-scalable-probabilistic-machine-learning-1704.01427</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amidst-a-java-toolbox-for-scalable-probabilistic-machine-learning-1704.01427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amidst-a-java-toolbox-for-scalable-probabilistic-machine-learning-1704.01427"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-generate-reviews-and-discovering-sentiment-1704.01444</loc><lastmod>2017-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-generate-reviews-and-discovering-sentiment-1704.01444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-generate-reviews-and-discovering-sentiment-1704.01444"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-and-quantum-entanglement-fundamental-connections-with-implications-to-network-design-1704.01552</loc><lastmod>2017-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-and-quantum-entanglement-fundamental-connections-with-implications-to-network-design-1704.01552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-and-quantum-entanglement-fundamental-connections-with-implications-to-network-design-1704.01552"/></url>
<url><loc>https://scifaro.com/en/abs/bag-of-words-method-applied-to-accelerometer-measurements-for-the-purpose-of-classification-and-energy-estimation-1704.01574</loc><lastmod>2017-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bag-of-words-method-applied-to-accelerometer-measurements-for-the-purpose-of-classification-and-energy-estimation-1704.01574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bag-of-words-method-applied-to-accelerometer-measurements-for-the-purpose-of-classification-and-energy-estimation-1704.01574"/></url>
<url><loc>https://scifaro.com/en/abs/nonnegative-binary-matrix-factorization-with-a-d-wave-quantum-annealer-1704.01605</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonnegative-binary-matrix-factorization-with-a-d-wave-quantum-annealer-1704.01605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonnegative-binary-matrix-factorization-with-a-d-wave-quantum-annealer-1704.01605"/></url>
<url><loc>https://scifaro.com/en/abs/greed-is-good-near-optimal-submodular-maximization-via-greedy-optimization-1704.01652</loc><lastmod>2017-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greed-is-good-near-optimal-submodular-maximization-via-greedy-optimization-1704.01652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greed-is-good-near-optimal-submodular-maximization-via-greedy-optimization-1704.01652"/></url>
<url><loc>https://scifaro.com/en/abs/learning-combinatorial-optimization-algorithms-over-graphs-1704.01665</loc><lastmod>2018-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-combinatorial-optimization-algorithms-over-graphs-1704.01665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-combinatorial-optimization-algorithms-over-graphs-1704.01665"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-transductive-learning-approaches-to-schistosomiasis-vector-classification-1704.01815</loc><lastmod>2017-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-transductive-learning-approaches-to-schistosomiasis-vector-classification-1704.01815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-transductive-learning-approaches-to-schistosomiasis-vector-classification-1704.01815"/></url>
<url><loc>https://scifaro.com/en/abs/an-online-hierarchical-algorithm-for-extreme-clustering-1704.01858</loc><lastmod>2017-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-online-hierarchical-algorithm-for-extreme-clustering-1704.01858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-online-hierarchical-algorithm-for-extreme-clustering-1704.01858"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-deep-neural-network-frequency-demodulation-of-speech-signals-1704.02046</loc><lastmod>2017-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-deep-neural-network-frequency-demodulation-of-speech-signals-1704.02046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-deep-neural-network-frequency-demodulation-of-speech-signals-1704.02046"/></url>
<url><loc>https://scifaro.com/en/abs/variance-based-moving-k-means-algorithm-1704.02197</loc><lastmod>2017-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-based-moving-k-means-algorithm-1704.02197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-based-moving-k-means-algorithm-1704.02197"/></url>
<url><loc>https://scifaro.com/en/abs/training-triplet-networks-with-gan-1704.02227</loc><lastmod>2017-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-triplet-networks-with-gan-1704.02227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-triplet-networks-with-gan-1704.02227"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-mixing-swendsen-wang-sampler-for-stochastic-partitioned-attractive-models-1704.02232</loc><lastmod>2017-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-mixing-swendsen-wang-sampler-for-stochastic-partitioned-attractive-models-1704.02232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-mixing-swendsen-wang-sampler-for-stochastic-partitioned-attractive-models-1704.02232"/></url>
<url><loc>https://scifaro.com/en/abs/thresholding-bandits-with-augmented-ucb-1704.02281</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thresholding-bandits-with-augmented-ucb-1704.02281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thresholding-bandits-with-augmented-ucb-1704.02281"/></url>
<url><loc>https://scifaro.com/en/abs/fast-spectral-clustering-using-autoencoders-and-landmarks-1704.02345</loc><lastmod>2017-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-spectral-clustering-using-autoencoders-and-landmarks-1704.02345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-spectral-clustering-using-autoencoders-and-landmarks-1704.02345"/></url>
<url><loc>https://scifaro.com/en/abs/joint-probabilistic-linear-discriminant-analysis-1704.02346</loc><lastmod>2018-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-probabilistic-linear-discriminant-analysis-1704.02346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-probabilistic-linear-discriminant-analysis-1704.02346"/></url>
<url><loc>https://scifaro.com/en/abs/uncovering-group-level-insights-with-accordant-clustering-1704.02378</loc><lastmod>2017-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncovering-group-level-insights-with-accordant-clustering-1704.02378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncovering-group-level-insights-with-accordant-clustering-1704.02378"/></url>
<url><loc>https://scifaro.com/en/abs/stein-variational-policy-gradient-1704.02399</loc><lastmod>2017-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stein-variational-policy-gradient-1704.02399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stein-variational-policy-gradient-1704.02399"/></url>
<url><loc>https://scifaro.com/en/abs/mlc-toolbox-a-matlab-octave-library-for-multi-label-classification-1704.02592</loc><lastmod>2017-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mlc-toolbox-a-matlab-octave-library-for-multi-label-classification-1704.02592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mlc-toolbox-a-matlab-octave-library-for-multi-label-classification-1704.02592"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-infinite-feature-selection-1704.02665</loc><lastmod>2017-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-infinite-feature-selection-1704.02665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-infinite-feature-selection-1704.02665"/></url>
<url><loc>https://scifaro.com/en/abs/pyramid-vector-quantization-for-deep-learning-1704.02681</loc><lastmod>2017-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pyramid-vector-quantization-for-deep-learning-1704.02681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pyramid-vector-quantization-for-deep-learning-1704.02681"/></url>
<url><loc>https://scifaro.com/en/abs/evolving-a-vector-space-with-any-generating-set-1704.02708</loc><lastmod>2018-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolving-a-vector-space-with-any-generating-set-1704.02708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolving-a-vector-space-with-any-generating-set-1704.02708"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-recurrent-neural-networks-1704.02798</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-recurrent-neural-networks-1704.02798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-recurrent-neural-networks-1704.02798"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-of-individualized-treatment-effects-using-multi-task-gaussian-processes-1704.02801</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-of-individualized-treatment-effects-using-multi-task-gaussian-processes-1704.02801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-of-individualized-treatment-effects-using-multi-task-gaussian-processes-1704.02801"/></url>
<url><loc>https://scifaro.com/en/abs/a-dual-stage-attention-based-recurrent-neural-network-for-time-series-prediction-1704.02971</loc><lastmod>2017-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dual-stage-attention-based-recurrent-neural-network-for-time-series-prediction-1704.02971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dual-stage-attention-based-recurrent-neural-network-for-time-series-prediction-1704.02971"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-multi-view-multi-way-data-via-structural-factorization-machines-1704.03037</loc><lastmod>2018-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-multi-view-multi-way-data-via-structural-factorization-machines-1704.03037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-multi-view-multi-way-data-via-structural-factorization-machines-1704.03037"/></url>
<url><loc>https://scifaro.com/en/abs/data-efficient-deep-reinforcement-learning-for-dexterous-manipulation-1704.03073</loc><lastmod>2017-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-efficient-deep-reinforcement-learning-for-dexterous-manipulation-1704.03073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-efficient-deep-reinforcement-learning-for-dexterous-manipulation-1704.03073"/></url>
<url><loc>https://scifaro.com/en/abs/wrpn-training-and-inference-using-wide-reduced-precision-networks-1704.03079</loc><lastmod>2017-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wrpn-training-and-inference-using-wide-reduced-precision-networks-1704.03079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wrpn-training-and-inference-using-wide-reduced-precision-networks-1704.03079"/></url>
<url><loc>https://scifaro.com/en/abs/federated-tensor-factorization-for-computational-phenotyping-1704.03141</loc><lastmod>2017-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-tensor-factorization-for-computational-phenotyping-1704.03141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-tensor-factorization-for-computational-phenotyping-1704.03141"/></url>
<url><loc>https://scifaro.com/en/abs/simplified-stochastic-feedforward-neural-networks-1704.03188</loc><lastmod>2017-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simplified-stochastic-feedforward-neural-networks-1704.03188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simplified-stochastic-feedforward-neural-networks-1704.03188"/></url>
<url><loc>https://scifaro.com/en/abs/the-matlab-toolbox-scixminer-user-s-manual-and-programmer-s-guide-1704.03298</loc><lastmod>2017-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-matlab-toolbox-scixminer-user-s-manual-and-programmer-s-guide-1704.03298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-matlab-toolbox-scixminer-user-s-manual-and-programmer-s-guide-1704.03298"/></url>
<url><loc>https://scifaro.com/en/abs/enwalk-learning-network-features-for-spam-detection-in-twitter-1704.03404</loc><lastmod>2017-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enwalk-learning-network-features-for-spam-detection-in-twitter-1704.03404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enwalk-learning-network-features-for-spam-detection-in-twitter-1704.03404"/></url>
<url><loc>https://scifaro.com/en/abs/active-classification-with-comparison-queries-1704.03564</loc><lastmod>2017-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-classification-with-comparison-queries-1704.03564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-classification-with-comparison-queries-1704.03564"/></url>
<url><loc>https://scifaro.com/en/abs/deep-extreme-multi-label-learning-1704.03718</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-extreme-multi-label-learning-1704.03718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-extreme-multi-label-learning-1704.03718"/></url>
<url><loc>https://scifaro.com/en/abs/enabling-embedded-inference-engine-with-arm-compute-library-a-case-study-1704.03751</loc><lastmod>2017-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enabling-embedded-inference-engine-with-arm-compute-library-a-case-study-1704.03751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enabling-embedded-inference-engine-with-arm-compute-library-a-case-study-1704.03751"/></url>
<url><loc>https://scifaro.com/en/abs/magan-margin-adaptation-for-generative-adversarial-networks-1704.03817</loc><lastmod>2017-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/magan-margin-adaptation-for-generative-adversarial-networks-1704.03817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/magan-margin-adaptation-for-generative-adversarial-networks-1704.03817"/></url>
<url><loc>https://scifaro.com/en/abs/determining-song-similarity-via-machine-learning-techniques-and-tagging-information-1704.03844</loc><lastmod>2017-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/determining-song-similarity-via-machine-learning-techniques-and-tagging-information-1704.03844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/determining-song-similarity-via-machine-learning-techniques-and-tagging-information-1704.03844"/></url>
<url><loc>https://scifaro.com/en/abs/value-directed-exploration-in-multi-armed-bandits-with-structured-priors-1704.03926</loc><lastmod>2017-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/value-directed-exploration-in-multi-armed-bandits-with-structured-priors-1704.03926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/value-directed-exploration-in-multi-armed-bandits-with-structured-priors-1704.03926"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-analysis-of-the-information-matrix-in-gaussian-belief-propagation-1704.03969</loc><lastmod>2017-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-analysis-of-the-information-matrix-in-gaussian-belief-propagation-1704.03969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-analysis-of-the-information-matrix-in-gaussian-belief-propagation-1704.03969"/></url>
<url><loc>https://scifaro.com/en/abs/fully-distributed-and-asynchronized-stochastic-gradient-descent-for-networked-systems-1704.03992</loc><lastmod>2017-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-distributed-and-asynchronized-stochastic-gradient-descent-for-networked-systems-1704.03992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-distributed-and-asynchronized-stochastic-gradient-descent-for-networked-systems-1704.03992"/></url>
<url><loc>https://scifaro.com/en/abs/zigzag-a-new-approach-to-adaptive-online-learning-1704.04010</loc><lastmod>2017-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zigzag-a-new-approach-to-adaptive-online-learning-1704.04010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zigzag-a-new-approach-to-adaptive-online-learning-1704.04010"/></url>
<url><loc>https://scifaro.com/en/abs/close-yet-distinctive-domain-adaptation-1704.04235</loc><lastmod>2017-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/close-yet-distinctive-domain-adaptation-1704.04235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/close-yet-distinctive-domain-adaptation-1704.04235"/></url>
<url><loc>https://scifaro.com/en/abs/on-generalized-bellman-equations-and-temporal-difference-learning-1704.04463</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-generalized-bellman-equations-and-temporal-difference-learning-1704.04463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-generalized-bellman-equations-and-temporal-difference-learning-1704.04463"/></url>
<url><loc>https://scifaro.com/en/abs/lean-from-thy-neighbor-stochastic-adversarial-bandits-in-a-network-1704.04470</loc><lastmod>2017-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lean-from-thy-neighbor-stochastic-adversarial-bandits-in-a-network-1704.04470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lean-from-thy-neighbor-stochastic-adversarial-bandits-in-a-network-1704.04470"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchic-kernel-recursive-least-squares-1704.04522</loc><lastmod>2020-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchic-kernel-recursive-least-squares-1704.04522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchic-kernel-recursive-least-squares-1704.04522"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-gap-between-strict-saddles-and-true-convexity-an-omega-log-d-lower-bound-for-eigenvector-approximation-1704.04548</loc><lastmod>2017-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-gap-between-strict-saddles-and-true-convexity-an-omega-log-d-lower-bound-for-eigenvector-approximation-1704.04548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-gap-between-strict-saddles-and-true-convexity-an-omega-log-d-lower-bound-for-eigenvector-approximation-1704.04548"/></url>
<url><loc>https://scifaro.com/en/abs/effective-warm-start-for-the-online-actor-critic-reinforcement-learning-based-mhealth-intervention-1704.04866</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-warm-start-for-the-online-actor-critic-reinforcement-learning-based-mhealth-intervention-1704.04866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-warm-start-for-the-online-actor-critic-reinforcement-learning-based-mhealth-intervention-1704.04866"/></url>
<url><loc>https://scifaro.com/en/abs/deep-relaxation-partial-differential-equations-for-optimizing-deep-neural-networks-1704.04932</loc><lastmod>2017-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-relaxation-partial-differential-equations-for-optimizing-deep-neural-networks-1704.04932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-relaxation-partial-differential-equations-for-optimizing-deep-neural-networks-1704.04932"/></url>
<url><loc>https://scifaro.com/en/abs/introspection-accelerating-neural-network-training-by-learning-weight-evolution-1704.04959</loc><lastmod>2017-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introspection-accelerating-neural-network-training-by-learning-weight-evolution-1704.04959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introspection-accelerating-neural-network-training-by-learning-weight-evolution-1704.04959"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-and-clean-data-are-not-twins-1704.04960</loc><lastmod>2017-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-and-clean-data-are-not-twins-1704.04960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-and-clean-data-are-not-twins-1704.04960"/></url>
<url><loc>https://scifaro.com/en/abs/larger-is-better-the-effect-of-learning-rates-enjoyed-by-stochastic-optimization-with-progressive-variance-reduction-1704.04966</loc><lastmod>2017-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/larger-is-better-the-effect-of-learning-rates-enjoyed-by-stochastic-optimization-with-progressive-variance-reduction-1704.04966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/larger-is-better-the-effect-of-learning-rates-enjoyed-by-stochastic-optimization-with-progressive-variance-reduction-1704.04966"/></url>
<url><loc>https://scifaro.com/en/abs/fast-multi-output-relevance-vector-regression-1704.05041</loc><lastmod>2017-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-multi-output-relevance-vector-regression-1704.05041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-multi-output-relevance-vector-regression-1704.05041"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-sparsity-in-recurrent-neural-networks-1704.05119</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-sparsity-in-recurrent-neural-networks-1704.05119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-sparsity-in-recurrent-neural-networks-1704.05119"/></url>
<url><loc>https://scifaro.com/en/abs/o-2-td-near-optimal-off-policy-td-learning-1704.05147</loc><lastmod>2017-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/o-2-td-near-optimal-off-policy-td-learning-1704.05147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/o-2-td-near-optimal-off-policy-td-learning-1704.05147"/></url>
<url><loc>https://scifaro.com/en/abs/vae-learning-via-stein-variational-gradient-descent-1704.05155</loc><lastmod>2017-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vae-learning-via-stein-variational-gradient-descent-1704.05155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vae-learning-via-stein-variational-gradient-descent-1704.05155"/></url>
<url><loc>https://scifaro.com/en/abs/hpslpred-an-ensemble-multi-label-classifier-for-human-protein-subcellular-location-prediction-with-imbalanced-source-1704.05204</loc><lastmod>2017-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hpslpred-an-ensemble-multi-label-classifier-for-human-protein-subcellular-location-prediction-with-imbalanced-source-1704.05204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hpslpred-an-ensemble-multi-label-classifier-for-human-protein-subcellular-location-prediction-with-imbalanced-source-1704.05204"/></url>
<url><loc>https://scifaro.com/en/abs/hot-or-not-forecasting-cellular-network-hot-spots-using-sector-performance-indicators-1704.05249</loc><lastmod>2017-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hot-or-not-forecasting-cellular-network-hot-spots-using-sector-performance-indicators-1704.05249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hot-or-not-forecasting-cellular-network-hot-spots-using-sector-performance-indicators-1704.05249"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-policy-learning-and-latent-state-inference-for-imitating-driver-behavior-1704.05566</loc><lastmod>2017-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-policy-learning-and-latent-state-inference-for-imitating-driver-behavior-1704.05566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-policy-learning-and-latent-state-inference-for-imitating-driver-behavior-1704.05566"/></url>
<url><loc>https://scifaro.com/en/abs/insensitive-stochastic-gradient-twin-support-vector-machine-for-large-scale-problems-1704.05596</loc><lastmod>2018-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/insensitive-stochastic-gradient-twin-support-vector-machine-for-large-scale-problems-1704.05596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/insensitive-stochastic-gradient-twin-support-vector-machine-for-large-scale-problems-1704.05596"/></url>
<url><loc>https://scifaro.com/en/abs/effects-of-the-optimisation-of-the-margin-distribution-on-generalisation-in-deep-architectures-1704.05646</loc><lastmod>2017-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effects-of-the-optimisation-of-the-margin-distribution-on-generalisation-in-deep-architectures-1704.05646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effects-of-the-optimisation-of-the-margin-distribution-on-generalisation-in-deep-architectures-1704.05646"/></url>
<url><loc>https://scifaro.com/en/abs/safs-a-deep-feature-selection-approach-for-precision-medicine-1704.05960</loc><lastmod>2017-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safs-a-deep-feature-selection-approach-for-precision-medicine-1704.05960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safs-a-deep-feature-selection-approach-for-precision-medicine-1704.05960"/></url>
<url><loc>https://scifaro.com/en/abs/fast-generation-for-convolutional-autoregressive-models-1704.06001</loc><lastmod>2017-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-generation-for-convolutional-autoregressive-models-1704.06001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-generation-for-convolutional-autoregressive-models-1704.06001"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-joint-probability-linear-discrimination-analysis-for-multi-view-feature-verification-1704.06061</loc><lastmod>2017-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-joint-probability-linear-discrimination-analysis-for-multi-view-feature-verification-1704.06061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-joint-probability-linear-discrimination-analysis-for-multi-view-feature-verification-1704.06061"/></url>
<url><loc>https://scifaro.com/en/abs/every-untrue-label-is-untrue-in-its-own-way-controlling-error-type-with-the-log-bilinear-loss-1704.06062</loc><lastmod>2017-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/every-untrue-label-is-untrue-in-its-own-way-controlling-error-type-with-the-log-bilinear-loss-1704.06062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/every-untrue-label-is-untrue-in-its-own-way-controlling-error-type-with-the-log-bilinear-loss-1704.06062"/></url>
<url><loc>https://scifaro.com/en/abs/softmax-gan-1704.06191</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/softmax-gan-1704.06191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/softmax-gan-1704.06191"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-graph-convolutional-networks-1704.06199</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-graph-convolutional-networks-1704.06199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-graph-convolutional-networks-1704.06199"/></url>
<url><loc>https://scifaro.com/en/abs/deep-clustering-via-joint-convolutional-autoencoder-embedding-and-relative-entropy-minimization-1704.06327</loc><lastmod>2017-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-clustering-via-joint-convolutional-autoencoder-embedding-and-relative-entropy-minimization-1704.06327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-clustering-via-joint-convolutional-autoencoder-embedding-and-relative-entropy-minimization-1704.06327"/></url>
<url><loc>https://scifaro.com/en/abs/equivalence-between-policy-gradients-and-soft-q-learning-1704.06440</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivalence-between-policy-gradients-and-soft-q-learning-1704.06440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivalence-between-policy-gradients-and-soft-q-learning-1704.06440"/></url>
<url><loc>https://scifaro.com/en/abs/making-neural-programming-architectures-generalize-via-recursion-1704.06611</loc><lastmod>2017-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-neural-programming-architectures-generalize-via-recursion-1704.06611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-neural-programming-architectures-generalize-via-recursion-1704.06611"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-algorithm-based-on-catastrophe-model-to-improve-the-performance-of-regression-analysis-1704.06656</loc><lastmod>2017-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-algorithm-based-on-catastrophe-model-to-improve-the-performance-of-regression-analysis-1704.06656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-algorithm-based-on-catastrophe-model-to-improve-the-performance-of-regression-analysis-1704.06656"/></url>
<url><loc>https://scifaro.com/en/abs/batch-expansion-training-an-efficient-optimization-framework-1704.06731</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-expansion-training-an-efficient-optimization-framework-1704.06731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-expansion-training-an-efficient-optimization-framework-1704.06731"/></url>
<url><loc>https://scifaro.com/en/abs/robust-deep-and-inductive-anomaly-detection-1704.06743</loc><lastmod>2017-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-deep-and-inductive-anomaly-detection-1704.06743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-deep-and-inductive-anomaly-detection-1704.06743"/></url>
<url><loc>https://scifaro.com/en/abs/convex-formulation-of-multiple-instance-learning-from-positive-and-unlabeled-bags-1704.06767</loc><lastmod>2018-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-formulation-of-multiple-instance-learning-from-positive-and-unlabeled-bags-1704.06767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-formulation-of-multiple-instance-learning-from-positive-and-unlabeled-bags-1704.06767"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-matrix-completion-with-recurrent-multi-graph-neural-networks-1704.06803</loc><lastmod>2017-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-matrix-completion-with-recurrent-multi-graph-neural-networks-1704.06803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-matrix-completion-with-recurrent-multi-graph-neural-networks-1704.06803"/></url>
<url><loc>https://scifaro.com/en/abs/testing-symmetric-markov-chains-from-a-single-trajectory-1704.06850</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-symmetric-markov-chains-from-a-single-trajectory-1704.06850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-symmetric-markov-chains-from-a-single-trajectory-1704.06850"/></url>
<url><loc>https://scifaro.com/en/abs/misspecified-linear-bandits-1704.06880</loc><lastmod>2017-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/misspecified-linear-bandits-1704.06880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/misspecified-linear-bandits-1704.06880"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-vehicle-trajectory-prediction-over-occupancy-grid-map-via-recurrent-neural-network-1704.07049</loc><lastmod>2017-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-vehicle-trajectory-prediction-over-occupancy-grid-map-via-recurrent-neural-network-1704.07049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-vehicle-trajectory-prediction-over-occupancy-grid-map-via-recurrent-neural-network-1704.07049"/></url>
<url><loc>https://scifaro.com/en/abs/k-ffnn-a-priori-knowledge-infused-feed-forward-neural-networks-1704.07055</loc><lastmod>2017-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-ffnn-a-priori-knowledge-infused-feed-forward-neural-networks-1704.07055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-ffnn-a-priori-knowledge-infused-feed-forward-neural-networks-1704.07055"/></url>
<url><loc>https://scifaro.com/en/abs/an-aposteriorical-clusterability-criterion-for-k-means-and-simplicity-of-clustering-1704.07139</loc><lastmod>2020-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-aposteriorical-clusterability-criterion-for-k-means-and-simplicity-of-clustering-1704.07139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-aposteriorical-clusterability-criterion-for-k-means-and-simplicity-of-clustering-1704.07139"/></url>
<url><loc>https://scifaro.com/en/abs/gakco-a-fast-gapped-k-mer-string-kernel-using-counting-1704.07468</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gakco-a-fast-gapped-k-mer-string-kernel-using-counting-1704.07468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gakco-a-fast-gapped-k-mer-string-kernel-using-counting-1704.07468"/></url>
<url><loc>https://scifaro.com/en/abs/continuously-differentiable-exponential-linear-units-1704.07483</loc><lastmod>2017-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuously-differentiable-exponential-linear-units-1704.07483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuously-differentiable-exponential-linear-units-1704.07483"/></url>
<url><loc>https://scifaro.com/en/abs/ppmf-a-patient-based-predictive-modeling-framework-for-early-icu-mortality-prediction-1704.07499</loc><lastmod>2017-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ppmf-a-patient-based-predictive-modeling-framework-for-early-icu-mortality-prediction-1704.07499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ppmf-a-patient-based-predictive-modeling-framework-for-early-icu-mortality-prediction-1704.07499"/></url>
<url><loc>https://scifaro.com/en/abs/some-like-it-hoax-automated-fake-news-detection-in-social-networks-1704.07506</loc><lastmod>2017-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-like-it-hoax-automated-fake-news-detection-in-social-networks-1704.07506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-like-it-hoax-automated-fake-news-detection-in-social-networks-1704.07506"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-planning-with-tensorflow-for-hybrid-nonlinear-domains-1704.07511</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-planning-with-tensorflow-for-hybrid-nonlinear-domains-1704.07511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-planning-with-tensorflow-for-hybrid-nonlinear-domains-1704.07511"/></url>
<url><loc>https://scifaro.com/en/abs/deep-over-sampling-framework-for-classifying-imbalanced-data-1704.07515</loc><lastmod>2017-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-over-sampling-framework-for-classifying-imbalanced-data-1704.07515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-over-sampling-framework-for-classifying-imbalanced-data-1704.07515"/></url>
<url><loc>https://scifaro.com/en/abs/decision-stream-cultivating-deep-decision-trees-1704.07657</loc><lastmod>2017-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-stream-cultivating-deep-decision-trees-1704.07657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-stream-cultivating-deep-decision-trees-1704.07657"/></url>
<url><loc>https://scifaro.com/en/abs/an-all-pair-quantum-svm-approach-for-big-data-multiclass-classification-1704.07664</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-all-pair-quantum-svm-approach-for-big-data-multiclass-classification-1704.07664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-all-pair-quantum-svm-approach-for-big-data-multiclass-classification-1704.07664"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-anomaly-detection-in-the-cloud-via-statistical-learning-1704.07706</loc><lastmod>2017-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-anomaly-detection-in-the-cloud-via-statistical-learning-1704.07706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-anomaly-detection-in-the-cloud-via-statistical-learning-1704.07706"/></url>
<url><loc>https://scifaro.com/en/abs/fwda-a-fast-wishart-discriminant-analysis-with-its-application-to-electronic-health-records-data-classification-1704.07790</loc><lastmod>2017-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fwda-a-fast-wishart-discriminant-analysis-with-its-application-to-electronic-health-records-data-classification-1704.07790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fwda-a-fast-wishart-discriminant-analysis-with-its-application-to-electronic-health-records-data-classification-1704.07790"/></url>
<url><loc>https://scifaro.com/en/abs/an-ensemble-based-online-learning-algorithm-for-streaming-data-1704.07938</loc><lastmod>2017-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-ensemble-based-online-learning-algorithm-for-streaming-data-1704.07938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-ensemble-based-online-learning-algorithm-for-streaming-data-1704.07938"/></url>
<url><loc>https://scifaro.com/en/abs/reward-maximization-under-uncertainty-leveraging-side-observations-on-networks-1704.07943</loc><lastmod>2017-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reward-maximization-under-uncertainty-leveraging-side-observations-on-networks-1704.07943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reward-maximization-under-uncertainty-leveraging-side-observations-on-networks-1704.07943"/></url>
<url><loc>https://scifaro.com/en/abs/on-improving-deep-reinforcement-learning-for-pomdps-1704.07978</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-improving-deep-reinforcement-learning-for-pomdps-1704.07978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-improving-deep-reinforcement-learning-for-pomdps-1704.07978"/></url>
<url><loc>https://scifaro.com/en/abs/training-l1-regularized-models-with-orthant-wise-passive-descent-algorithms-1704.07987</loc><lastmod>2018-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-l1-regularized-models-with-orthant-wise-passive-descent-algorithms-1704.07987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-l1-regularized-models-with-orthant-wise-passive-descent-algorithms-1704.07987"/></url>
<url><loc>https://scifaro.com/en/abs/the-loss-surface-of-deep-and-wide-neural-networks-1704.08045</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-loss-surface-of-deep-and-wide-neural-networks-1704.08045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-loss-surface-of-deep-and-wide-neural-networks-1704.08045"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-feedforward-artificial-neural-network-model-from-the-perspective-of-network-flow-1704.08068</loc><lastmod>2017-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-feedforward-artificial-neural-network-model-from-the-perspective-of-network-flow-1704.08068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-feedforward-artificial-neural-network-model-from-the-perspective-of-network-flow-1704.08068"/></url>
<url><loc>https://scifaro.com/en/abs/limits-of-end-to-end-learning-1704.08305</loc><lastmod>2017-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limits-of-end-to-end-learning-1704.08305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limits-of-end-to-end-learning-1704.08305"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-similarities-in-epileptic-patients-for-drug-resistance-prediction-1704.08361</loc><lastmod>2017-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-similarities-in-epileptic-patients-for-drug-resistance-prediction-1704.08361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-similarities-in-epileptic-patients-for-drug-resistance-prediction-1704.08361"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-feature-selection-of-risk-genetic-factors-for-alzheimer-s-disease-via-distributed-group-lasso-regression-1704.08383</loc><lastmod>2017-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-feature-selection-of-risk-genetic-factors-for-alzheimer-s-disease-via-distributed-group-lasso-regression-1704.08383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-feature-selection-of-risk-genetic-factors-for-alzheimer-s-disease-via-distributed-group-lasso-regression-1704.08383"/></url>
<url><loc>https://scifaro.com/en/abs/deepcci-end-to-end-deep-learning-for-chemical-chemical-interaction-prediction-1704.08432</loc><lastmod>2017-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepcci-end-to-end-deep-learning-for-chemical-chemical-interaction-prediction-1704.08432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepcci-end-to-end-deep-learning-for-chemical-chemical-interaction-prediction-1704.08432"/></url>
<url><loc>https://scifaro.com/en/abs/dna-steganalysis-using-deep-recurrent-neural-networks-1704.08443</loc><lastmod>2018-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dna-steganalysis-using-deep-recurrent-neural-networks-1704.08443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dna-steganalysis-using-deep-recurrent-neural-networks-1704.08443"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-structure-of-bayesian-networks-a-quantitative-assessment-of-the-effect-of-different-algorithmic-schemes-1704.08676</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-structure-of-bayesian-networks-a-quantitative-assessment-of-the-effect-of-different-algorithmic-schemes-1704.08676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-structure-of-bayesian-networks-a-quantitative-assessment-of-the-effect-of-different-algorithmic-schemes-1704.08676"/></url>
<url><loc>https://scifaro.com/en/abs/a-tribe-competition-based-genetic-algorithm-for-feature-selection-in-pattern-classification-1704.08818</loc><lastmod>2017-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tribe-competition-based-genetic-algorithm-for-feature-selection-in-pattern-classification-1704.08818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tribe-competition-based-genetic-algorithm-for-feature-selection-in-pattern-classification-1704.08818"/></url>
<url><loc>https://scifaro.com/en/abs/on-weight-initialization-in-deep-neural-networks-1704.08863</loc><lastmod>2017-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-weight-initialization-in-deep-neural-networks-1704.08863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-weight-initialization-in-deep-neural-networks-1704.08863"/></url>
<url><loc>https://scifaro.com/en/abs/traffic-light-control-using-deep-policy-gradient-and-value-function-based-reinforcement-learning-1704.08883</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/traffic-light-control-using-deep-policy-gradient-and-value-function-based-reinforcement-learning-1704.08883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/traffic-light-control-using-deep-policy-gradient-and-value-function-based-reinforcement-learning-1704.08883"/></url>
<url><loc>https://scifaro.com/en/abs/time-sensitive-bandit-learning-and-satisficing-thompson-sampling-1704.09028</loc><lastmod>2017-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-sensitive-bandit-learning-and-satisficing-thompson-sampling-1704.09028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-sensitive-bandit-learning-and-satisficing-thompson-sampling-1704.09028"/></url>
<url><loc>https://scifaro.com/en/abs/random-forest-ensemble-of-support-vector-regression-models-for-solar-power-forecasting-1705.00033</loc><lastmod>2017-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-forest-ensemble-of-support-vector-regression-models-for-solar-power-forecasting-1705.00033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-forest-ensemble-of-support-vector-regression-models-for-solar-power-forecasting-1705.00033"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multi-view-models-for-glitch-classification-1705.00034</loc><lastmod>2017-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multi-view-models-for-glitch-classification-1705.00034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multi-view-models-for-glitch-classification-1705.00034"/></url>
<url><loc>https://scifaro.com/en/abs/cnvlutin2-ineffectual-activation-and-weight-free-deep-neural-network-computing-1705.00125</loc><lastmod>2017-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cnvlutin2-ineffectual-activation-and-weight-free-deep-neural-network-computing-1705.00125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cnvlutin2-ineffectual-activation-and-weight-free-deep-neural-network-computing-1705.00125"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-automata-based-expert-sequences-1705.00132</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-automata-based-expert-sequences-1705.00132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-automata-based-expert-sequences-1705.00132"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-changing-features-1705.00219</loc><lastmod>2017-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-changing-features-1705.00219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-changing-features-1705.00219"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-guarantees-for-multi-item-profit-maximization-pricing-auctions-and-randomized-mechanisms-1705.00243</loc><lastmod>2023-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-guarantees-for-multi-item-profit-maximization-pricing-auctions-and-randomized-mechanisms-1705.00243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-guarantees-for-multi-item-profit-maximization-pricing-auctions-and-randomized-mechanisms-1705.00243"/></url>
<url><loc>https://scifaro.com/en/abs/multi-dueling-bandits-with-dependent-arms-1705.00253</loc><lastmod>2017-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-dueling-bandits-with-dependent-arms-1705.00253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-dueling-bandits-with-dependent-arms-1705.00253"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-in-the-automotive-industry-applications-and-tools-1705.00346</loc><lastmod>2017-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-in-the-automotive-industry-applications-and-tools-1705.00346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-in-the-automotive-industry-applications-and-tools-1705.00346"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-twin-neural-networks-for-classification-of-unbalanced-data-1705.00347</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-twin-neural-networks-for-classification-of-unbalanced-data-1705.00347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-twin-neural-networks-for-classification-of-unbalanced-data-1705.00347"/></url>
<url><loc>https://scifaro.com/en/abs/targeted-matrix-completion-1705.00375</loc><lastmod>2017-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/targeted-matrix-completion-1705.00375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/targeted-matrix-completion-1705.00375"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-with-queries-1705.00399</loc><lastmod>2017-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-with-queries-1705.00399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-with-queries-1705.00399"/></url>
<url><loc>https://scifaro.com/en/abs/a-riemannian-gossip-approach-to-subspace-learning-on-grassmann-manifold-1705.00467</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-riemannian-gossip-approach-to-subspace-learning-on-grassmann-manifold-1705.00467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-riemannian-gossip-approach-to-subspace-learning-on-grassmann-manifold-1705.00467"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-residual-quantization-a-multi-layer-sparse-dictionary-learning-approach-1705.00522</loc><lastmod>2017-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-residual-quantization-a-multi-layer-sparse-dictionary-learning-approach-1705.00522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-residual-quantization-a-multi-layer-sparse-dictionary-learning-approach-1705.00522"/></url>
<url><loc>https://scifaro.com/en/abs/forced-to-learn-discovering-disentangled-representations-without-exhaustive-labels-1705.00574</loc><lastmod>2017-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forced-to-learn-discovering-disentangled-representations-without-exhaustive-labels-1705.00574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forced-to-learn-discovering-disentangled-representations-without-exhaustive-labels-1705.00574"/></url>
<url><loc>https://scifaro.com/en/abs/towards-well-specified-semi-supervised-model-based-classifiers-via-structural-adaptation-1705.00597</loc><lastmod>2017-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-well-specified-semi-supervised-model-based-classifiers-via-structural-adaptation-1705.00597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-well-specified-semi-supervised-model-based-classifiers-via-structural-adaptation-1705.00597"/></url>
<url><loc>https://scifaro.com/en/abs/determinantal-point-processes-for-mini-batch-diversification-1705.00607</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/determinantal-point-processes-for-mini-batch-diversification-1705.00607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/determinantal-point-processes-for-mini-batch-diversification-1705.00607"/></url>
<url><loc>https://scifaro.com/en/abs/twin-learning-for-similarity-and-clustering-a-unified-kernel-approach-1705.00678</loc><lastmod>2017-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/twin-learning-for-similarity-and-clustering-a-unified-kernel-approach-1705.00678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/twin-learning-for-similarity-and-clustering-a-unified-kernel-approach-1705.00678"/></url>
<url><loc>https://scifaro.com/en/abs/convex-constrained-sparse-additive-modeling-and-its-extensions-1705.00687</loc><lastmod>2017-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-constrained-sparse-additive-modeling-and-its-extensions-1705.00687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-constrained-sparse-additive-modeling-and-its-extensions-1705.00687"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-unsupervised-feature-selection-by-cross-diffused-matrix-alignment-1705.00825</loc><lastmod>2017-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-unsupervised-feature-selection-by-cross-diffused-matrix-alignment-1705.00825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-unsupervised-feature-selection-by-cross-diffused-matrix-alignment-1705.00825"/></url>
<url><loc>https://scifaro.com/en/abs/pointed-subspace-approach-to-incomplete-data-1705.00840</loc><lastmod>2017-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pointed-subspace-approach-to-incomplete-data-1705.00840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pointed-subspace-approach-to-incomplete-data-1705.00840"/></url>
<url><loc>https://scifaro.com/en/abs/random-active-path-model-of-deep-neural-networks-with-diluted-binary-synapses-1705.00850</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-active-path-model-of-deep-neural-networks-with-diluted-binary-synapses-1705.00850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-active-path-model-of-deep-neural-networks-with-diluted-binary-synapses-1705.00850"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-resilience-of-artificial-neural-networks-1705.01040</loc><lastmod>2017-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-resilience-of-artificial-neural-networks-1705.01040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-resilience-of-artificial-neural-networks-1705.01040"/></url>
<url><loc>https://scifaro.com/en/abs/pde-approach-to-the-problem-of-online-prediction-with-expert-advice-a-construction-of-potential-based-strategies-1705.01091</loc><lastmod>2017-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pde-approach-to-the-problem-of-online-prediction-with-expert-advice-a-construction-of-potential-based-strategies-1705.01091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pde-approach-to-the-problem-of-online-prediction-with-expert-advice-a-construction-of-potential-based-strategies-1705.01091"/></url>
<url><loc>https://scifaro.com/en/abs/summarized-network-behavior-prediction-1705.01143</loc><lastmod>2017-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/summarized-network-behavior-prediction-1705.01143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/summarized-network-behavior-prediction-1705.01143"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-knowledge-transfer-in-deep-q-networks-for-autonomously-handling-multiple-intersections-1705.01197</loc><lastmod>2017-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-knowledge-transfer-in-deep-q-networks-for-autonomously-handling-multiple-intersections-1705.01197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-knowledge-transfer-in-deep-q-networks-for-autonomously-handling-multiple-intersections-1705.01197"/></url>
<url><loc>https://scifaro.com/en/abs/local-shrunk-discriminant-analysis-lsda-1705.01206</loc><lastmod>2017-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-shrunk-discriminant-analysis-lsda-1705.01206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-shrunk-discriminant-analysis-lsda-1705.01206"/></url>
<url><loc>https://scifaro.com/en/abs/lifelong-metric-learning-1705.01209</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifelong-metric-learning-1705.01209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifelong-metric-learning-1705.01209"/></url>
<url><loc>https://scifaro.com/en/abs/ternary-neural-networks-with-fine-grained-quantization-1705.01462</loc><lastmod>2017-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ternary-neural-networks-with-fine-grained-quantization-1705.01462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ternary-neural-networks-with-fine-grained-quantization-1705.01462"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-spatio-temporal-gaussian-regression-via-kalman-filtering-1705.01485</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-spatio-temporal-gaussian-regression-via-kalman-filtering-1705.01485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-spatio-temporal-gaussian-regression-via-kalman-filtering-1705.01485"/></url>
<url><loc>https://scifaro.com/en/abs/xes-tensorflow-process-prediction-using-the-tensorflow-deep-learning-framework-1705.01507</loc><lastmod>2017-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xes-tensorflow-process-prediction-using-the-tensorflow-deep-learning-framework-1705.01507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xes-tensorflow-process-prediction-using-the-tensorflow-deep-learning-framework-1705.01507"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-cross-entropy-clustering-with-information-bottleneck-constraint-1705.01601</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-cross-entropy-clustering-with-information-bottleneck-constraint-1705.01601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-cross-entropy-clustering-with-information-bottleneck-constraint-1705.01601"/></url>
<url><loc>https://scifaro.com/en/abs/compressing-dma-engine-leveraging-activation-sparsity-for-training-deep-neural-networks-1705.01626</loc><lastmod>2017-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressing-dma-engine-leveraging-activation-sparsity-for-training-deep-neural-networks-1705.01626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressing-dma-engine-leveraging-activation-sparsity-for-training-deep-neural-networks-1705.01626"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-approximation-with-sparsely-connected-deep-neural-networks-1705.01714</loc><lastmod>2018-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-approximation-with-sparsely-connected-deep-neural-networks-1705.01714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-approximation-with-sparsely-connected-deep-neural-networks-1705.01714"/></url>
<url><loc>https://scifaro.com/en/abs/fast-k-means-based-on-knn-graph-1705.01813</loc><lastmod>2017-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-k-means-based-on-knn-graph-1705.01813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-k-means-based-on-knn-graph-1705.01813"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-model-based-clustering-with-controlled-clusters-leakage-1705.01877</loc><lastmod>2017-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-model-based-clustering-with-controlled-clusters-leakage-1705.01877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-model-based-clustering-with-controlled-clusters-leakage-1705.01877"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-adversarial-samples-using-density-ratio-estimates-1705.02224</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-adversarial-samples-using-density-ratio-estimates-1705.02224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-adversarial-samples-using-density-ratio-estimates-1705.02224"/></url>
<url><loc>https://scifaro.com/en/abs/spherical-wards-clustering-and-generalized-voronoi-diagrams-1705.02232</loc><lastmod>2017-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spherical-wards-clustering-and-generalized-voronoi-diagrams-1705.02232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spherical-wards-clustering-and-generalized-voronoi-diagrams-1705.02232"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-and-design-of-convolutional-networks-via-hierarchical-tensor-decompositions-1705.02302</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-and-design-of-convolutional-networks-via-hierarchical-tensor-decompositions-1705.02302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-and-design-of-convolutional-networks-via-hierarchical-tensor-decompositions-1705.02302"/></url>
<url><loc>https://scifaro.com/en/abs/a-time-vertex-signal-processing-framework-1705.02307</loc><lastmod>2017-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-time-vertex-signal-processing-framework-1705.02307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-time-vertex-signal-processing-framework-1705.02307"/></url>
<url><loc>https://scifaro.com/en/abs/a-comprehensive-study-of-batch-construction-strategies-for-recurrent-neural-networks-in-mxnet-1705.02414</loc><lastmod>2017-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comprehensive-study-of-batch-construction-strategies-for-recurrent-neural-networks-in-mxnet-1705.02414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comprehensive-study-of-batch-construction-strategies-for-recurrent-neural-networks-in-mxnet-1705.02414"/></url>
<url><loc>https://scifaro.com/en/abs/analogical-inference-for-multi-relational-embeddings-1705.02426</loc><lastmod>2017-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analogical-inference-for-multi-relational-embeddings-1705.02426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analogical-inference-for-multi-relational-embeddings-1705.02426"/></url>
<url><loc>https://scifaro.com/en/abs/face-super-resolution-through-wasserstein-gans-1705.02438</loc><lastmod>2017-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/face-super-resolution-through-wasserstein-gans-1705.02438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/face-super-resolution-through-wasserstein-gans-1705.02438"/></url>
<url><loc>https://scifaro.com/en/abs/learning-discriminative-relational-features-for-sequence-labeling-1705.02562</loc><lastmod>2017-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-discriminative-relational-features-for-sequence-labeling-1705.02562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-discriminative-relational-features-for-sequence-labeling-1705.02562"/></url>
<url><loc>https://scifaro.com/en/abs/a-design-methodology-for-efficient-implementation-of-deconvolutional-neural-networks-on-an-fpga-1705.02583</loc><lastmod>2017-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-design-methodology-for-efficient-implementation-of-deconvolutional-neural-networks-on-an-fpga-1705.02583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-design-methodology-for-efficient-implementation-of-deconvolutional-neural-networks-on-an-fpga-1705.02583"/></url>
<url><loc>https://scifaro.com/en/abs/dropin-making-reservoir-computing-neural-networks-robust-to-missing-inputs-by-dropout-1705.02643</loc><lastmod>2017-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropin-making-reservoir-computing-neural-networks-robust-to-missing-inputs-by-dropout-1705.02643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropin-making-reservoir-computing-neural-networks-robust-to-missing-inputs-by-dropout-1705.02643"/></url>
<url><loc>https://scifaro.com/en/abs/metacontrol-for-adaptive-imagination-based-optimization-1705.02670</loc><lastmod>2022-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metacontrol-for-adaptive-imagination-based-optimization-1705.02670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metacontrol-for-adaptive-imagination-based-optimization-1705.02670"/></url>
<url><loc>https://scifaro.com/en/abs/spatiotemporal-recurrent-convolutional-networks-for-traffic-prediction-in-transportation-networks-1705.02699</loc><lastmod>2017-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatiotemporal-recurrent-convolutional-networks-for-traffic-prediction-in-transportation-networks-1705.02699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatiotemporal-recurrent-convolutional-networks-for-traffic-prediction-in-transportation-networks-1705.02699"/></url>
<url><loc>https://scifaro.com/en/abs/mida-multiple-imputation-using-denoising-autoencoders-1705.02737</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mida-multiple-imputation-using-denoising-autoencoders-1705.02737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mida-multiple-imputation-using-denoising-autoencoders-1705.02737"/></url>
<url><loc>https://scifaro.com/en/abs/cross-label-suppression-a-discriminative-and-fast-dictionary-learning-with-group-regularization-1705.02928</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-label-suppression-a-discriminative-and-fast-dictionary-learning-with-group-regularization-1705.02928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-label-suppression-a-discriminative-and-fast-dictionary-learning-with-group-regularization-1705.02928"/></url>
<url><loc>https://scifaro.com/en/abs/geometry-of-optimization-and-implicit-regularization-in-deep-learning-1705.03071</loc><lastmod>2017-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometry-of-optimization-and-implicit-regularization-in-deep-learning-1705.03071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometry-of-optimization-and-implicit-regularization-in-deep-learning-1705.03071"/></url>
<url><loc>https://scifaro.com/en/abs/stable-architectures-for-deep-neural-networks-1705.03341</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-architectures-for-deep-neural-networks-1705.03341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-architectures-for-deep-neural-networks-1705.03341"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-trainer-defense-to-adversarial-perturbations-with-gan-1705.03387</loc><lastmod>2023-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-trainer-defense-to-adversarial-perturbations-with-gan-1705.03387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-trainer-defense-to-adversarial-perturbations-with-gan-1705.03387"/></url>
<url><loc>https://scifaro.com/en/abs/a-distributed-learning-dynamics-in-social-groups-1705.03414</loc><lastmod>2017-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributed-learning-dynamics-in-social-groups-1705.03414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributed-learning-dynamics-in-social-groups-1705.03414"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-random-sampling-a-structure-preserving-data-sketching-tool-1705.03566</loc><lastmod>2017-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-random-sampling-a-structure-preserving-data-sketching-tool-1705.03566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-random-sampling-a-structure-preserving-data-sketching-tool-1705.03566"/></url>
<url><loc>https://scifaro.com/en/abs/an-initialization-method-for-the-k-means-using-the-concept-of-useful-nearest-centers-1705.03613</loc><lastmod>2017-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-initialization-method-for-the-k-means-using-the-concept-of-useful-nearest-centers-1705.03613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-initialization-method-for-the-k-means-using-the-concept-of-useful-nearest-centers-1705.03613"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-isolation-forest-application-to-intrusion-detection-1705.03800</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-isolation-forest-application-to-intrusion-detection-1705.03800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-isolation-forest-application-to-intrusion-detection-1705.03800"/></url>
<url><loc>https://scifaro.com/en/abs/context-aware-hierarchical-online-learning-for-performance-maximization-in-mobile-crowdsourcing-1705.03822</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-aware-hierarchical-online-learning-for-performance-maximization-in-mobile-crowdsourcing-1705.03822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-aware-hierarchical-online-learning-for-performance-maximization-in-mobile-crowdsourcing-1705.03822"/></url>
<url><loc>https://scifaro.com/en/abs/why-when-deep-learning-works-looking-inside-deep-learnings-1705.03921</loc><lastmod>2017-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-when-deep-learning-works-looking-inside-deep-learnings-1705.03921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-when-deep-learning-works-looking-inside-deep-learnings-1705.03921"/></url>
<url><loc>https://scifaro.com/en/abs/gq-lambda-quick-reference-and-implementation-guide-1705.03967</loc><lastmod>2017-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gq-lambda-quick-reference-and-implementation-guide-1705.03967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gq-lambda-quick-reference-and-implementation-guide-1705.03967"/></url>
<url><loc>https://scifaro.com/en/abs/mining-functional-modules-by-multiview-nmf-of-phenome-genome-association-1705.03998</loc><lastmod>2017-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-functional-modules-by-multiview-nmf-of-phenome-genome-association-1705.03998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-functional-modules-by-multiview-nmf-of-phenome-genome-association-1705.03998"/></url>
<url><loc>https://scifaro.com/en/abs/fast-stochastic-variance-reduced-admm-for-stochastic-composition-optimization-1705.04138</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-stochastic-variance-reduced-admm-for-stochastic-composition-optimization-1705.04138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-stochastic-variance-reduced-admm-for-stochastic-composition-optimization-1705.04138"/></url>
<url><loc>https://scifaro.com/en/abs/nonnegative-matrix-factorization-with-transform-learning-1705.04193</loc><lastmod>2017-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonnegative-matrix-factorization-with-transform-learning-1705.04193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonnegative-matrix-factorization-with-transform-learning-1705.04193"/></url>
<url><loc>https://scifaro.com/en/abs/long-term-blood-pressure-prediction-with-deep-recurrent-neural-networks-1705.04524</loc><lastmod>2018-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-term-blood-pressure-prediction-with-deep-recurrent-neural-networks-1705.04524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-term-blood-pressure-prediction-with-deep-recurrent-neural-networks-1705.04524"/></url>
<url><loc>https://scifaro.com/en/abs/learning-relus-via-gradient-descent-1705.04591</loc><lastmod>2017-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-relus-via-gradient-descent-1705.04591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-relus-via-gradient-descent-1705.04591"/></url>
<url><loc>https://scifaro.com/en/abs/molecular-generation-with-recurrent-neural-networks-rnns-1705.04612</loc><lastmod>2017-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molecular-generation-with-recurrent-neural-networks-rnns-1705.04612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molecular-generation-with-recurrent-neural-networks-rnns-1705.04612"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-using-incomplete-models-1705.04630</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-using-incomplete-models-1705.04630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-using-incomplete-models-1705.04630"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-microscopy-1705.04709</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-microscopy-1705.04709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-microscopy-1705.04709"/></url>
<url><loc>https://scifaro.com/en/abs/automatically-redundant-features-removal-for-unsupervised-feature-selection-via-sparse-feature-graph-1705.04804</loc><lastmod>2017-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatically-redundant-features-removal-for-unsupervised-feature-selection-via-sparse-feature-graph-1705.04804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatically-redundant-features-removal-for-unsupervised-feature-selection-via-sparse-feature-graph-1705.04804"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-parallel-methods-for-deep-reinforcement-learning-1705.04862</loc><lastmod>2017-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-parallel-methods-for-deep-reinforcement-learning-1705.04862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-parallel-methods-for-deep-reinforcement-learning-1705.04862"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-analysis-of-proximal-gradient-with-momentum-for-nonconvex-optimization-1705.04925</loc><lastmod>2017-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-analysis-of-proximal-gradient-with-momentum-for-nonconvex-optimization-1705.04925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-analysis-of-proximal-gradient-with-momentum-for-nonconvex-optimization-1705.04925"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-continuous-admm-for-transductive-inference-in-higher-order-mrfs-1705.05020</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-continuous-admm-for-transductive-inference-in-higher-order-mrfs-1705.05020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-continuous-admm-for-transductive-inference-in-higher-order-mrfs-1705.05020"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-sequential-prediction-of-continuous-actions-for-deep-rl-1705.05035</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-sequential-prediction-of-continuous-actions-for-deep-rl-1705.05035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-sequential-prediction-of-continuous-actions-for-deep-rl-1705.05035"/></url>
<url><loc>https://scifaro.com/en/abs/robust-frequent-directions-with-application-in-online-learning-1705.05067</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-frequent-directions-with-application-in-online-learning-1705.05067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-frequent-directions-with-application-in-online-learning-1705.05067"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-graph-embedding-1705.05085</loc><lastmod>2017-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-graph-embedding-1705.05085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-graph-embedding-1705.05085"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-regret-scaling-with-the-effective-loss-range-1705.05091</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-regret-scaling-with-the-effective-loss-range-1705.05091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-regret-scaling-with-the-effective-loss-range-1705.05091"/></url>
<url><loc>https://scifaro.com/en/abs/layerwise-systematic-scan-deep-boltzmann-machines-and-beyond-1705.05154</loc><lastmod>2017-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layerwise-systematic-scan-deep-boltzmann-machines-and-beyond-1705.05154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layerwise-systematic-scan-deep-boltzmann-machines-and-beyond-1705.05154"/></url>
<url><loc>https://scifaro.com/en/abs/emotion-in-reinforcement-learning-agents-and-robots-a-survey-1705.05172</loc><lastmod>2017-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emotion-in-reinforcement-learning-agents-and-robots-a-survey-1705.05172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emotion-in-reinforcement-learning-agents-and-robots-a-survey-1705.05172"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-maximum-likelihood-and-gan-based-training-of-real-nvps-1705.05263</loc><lastmod>2017-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-maximum-likelihood-and-gan-based-training-of-real-nvps-1705.05263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-maximum-likelihood-and-gan-based-training-of-real-nvps-1705.05263"/></url>
<url><loc>https://scifaro.com/en/abs/extending-defensive-distillation-1705.05264</loc><lastmod>2017-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extending-defensive-distillation-1705.05264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extending-defensive-distillation-1705.05264"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-clinical-judgments-semi-markov-modulated-marked-hawkes-processes-for-risk-prognosis-1705.05267</loc><lastmod>2017-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-clinical-judgments-semi-markov-modulated-marked-hawkes-processes-for-risk-prognosis-1705.05267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-clinical-judgments-semi-markov-modulated-marked-hawkes-processes-for-risk-prognosis-1705.05267"/></url>
<url><loc>https://scifaro.com/en/abs/curiosity-driven-exploration-by-self-supervised-prediction-1705.05363</loc><lastmod>2017-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curiosity-driven-exploration-by-self-supervised-prediction-1705.05363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curiosity-driven-exploration-by-self-supervised-prediction-1705.05363"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-selection-and-ranking-under-noisy-comparisons-1705.05366</loc><lastmod>2017-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-selection-and-ranking-under-noisy-comparisons-1705.05366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-selection-and-ranking-under-noisy-comparisons-1705.05366"/></url>
<url><loc>https://scifaro.com/en/abs/learning-probabilistic-programs-using-backpropagation-1705.05396</loc><lastmod>2017-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-probabilistic-programs-using-backpropagation-1705.05396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-probabilistic-programs-using-backpropagation-1705.05396"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-coding-by-spiking-neural-networks-convergence-theory-and-computational-results-1705.05475</loc><lastmod>2017-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-coding-by-spiking-neural-networks-convergence-theory-and-computational-results-1705.05475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-coding-by-spiking-neural-networks-convergence-theory-and-computational-results-1705.05475"/></url>
<url><loc>https://scifaro.com/en/abs/the-power-of-deeper-networks-for-expressing-natural-functions-1705.05502</loc><lastmod>2018-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-power-of-deeper-networks-for-expressing-natural-functions-1705.05502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-power-of-deeper-networks-for-expressing-natural-functions-1705.05502"/></url>
<url><loc>https://scifaro.com/en/abs/learning-convex-regularizers-for-optimal-bayesian-denoising-1705.05591</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-convex-regularizers-for-optimal-bayesian-denoising-1705.05591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-convex-regularizers-for-optimal-bayesian-denoising-1705.05591"/></url>
<url><loc>https://scifaro.com/en/abs/learning-edge-representations-via-low-rank-asymmetric-projections-1705.05615</loc><lastmod>2017-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-edge-representations-via-low-rank-asymmetric-projections-1705.05615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-edge-representations-via-low-rank-asymmetric-projections-1705.05615"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-warping-paths-are-unique-for-almost-every-pair-of-time-series-1705.05681</loc><lastmod>2018-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-warping-paths-are-unique-for-almost-every-pair-of-time-series-1705.05681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-warping-paths-are-unique-for-almost-every-pair-of-time-series-1705.05681"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-temporal-representation-in-linear-reservoir-computing-1705.05782</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-temporal-representation-in-linear-reservoir-computing-1705.05782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-temporal-representation-in-linear-reservoir-computing-1705.05782"/></url>
<url><loc>https://scifaro.com/en/abs/sub-sampled-cubic-regularization-for-non-convex-optimization-1705.05933</loc><lastmod>2017-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sub-sampled-cubic-regularization-for-non-convex-optimization-1705.05933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sub-sampled-cubic-regularization-for-non-convex-optimization-1705.05933"/></url>
<url><loc>https://scifaro.com/en/abs/practical-processing-of-mobile-sensor-data-for-continual-deep-learning-predictions-1705.06224</loc><lastmod>2017-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-processing-of-mobile-sensor-data-for-continual-deep-learning-predictions-1705.06224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-processing-of-mobile-sensor-data-for-continual-deep-learning-predictions-1705.06224"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-goal-generation-for-reinforcement-learning-agents-1705.06366</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-goal-generation-for-reinforcement-learning-agents-1705.06366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-goal-generation-for-reinforcement-learning-agents-1705.06366"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-bidirectional-mapping-between-human-whole-body-motion-and-natural-language-using-deep-recurrent-neural-networks-1705.06400</loc><lastmod>2018-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-bidirectional-mapping-between-human-whole-body-motion-and-natural-language-using-deep-recurrent-neural-networks-1705.06400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-bidirectional-mapping-between-human-whole-body-motion-and-natural-language-using-deep-recurrent-neural-networks-1705.06400"/></url>
<url><loc>https://scifaro.com/en/abs/evolving-ensemble-fuzzy-classifier-1705.06460</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolving-ensemble-fuzzy-classifier-1705.06460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolving-ensemble-fuzzy-classifier-1705.06460"/></url>
<url><loc>https://scifaro.com/en/abs/online-learnability-of-statistical-relational-learning-in-anomaly-detection-1705.06573</loc><lastmod>2017-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learnability-of-statistical-relational-learning-in-anomaly-detection-1705.06573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learnability-of-statistical-relational-learning-in-anomaly-detection-1705.06573"/></url>
<url><loc>https://scifaro.com/en/abs/deepxplore-automated-whitebox-testing-of-deep-learning-systems-1705.06640</loc><lastmod>2017-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepxplore-automated-whitebox-testing-of-deep-learning-systems-1705.06640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepxplore-automated-whitebox-testing-of-deep-learning-systems-1705.06640"/></url>
<url><loc>https://scifaro.com/en/abs/feature-control-as-intrinsic-motivation-for-hierarchical-reinforcement-learning-1705.06769</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-control-as-intrinsic-motivation-for-hierarchical-reinforcement-learning-1705.06769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-control-as-intrinsic-motivation-for-hierarchical-reinforcement-learning-1705.06769"/></url>
<url><loc>https://scifaro.com/en/abs/pixel-deconvolutional-networks-1705.06820</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pixel-deconvolutional-networks-1705.06820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pixel-deconvolutional-networks-1705.06820"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-variational-auto-encoding-via-matrix-variate-normal-distributions-1705.06821</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-variational-auto-encoding-via-matrix-variate-normal-distributions-1705.06821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-variational-auto-encoding-via-matrix-variate-normal-distributions-1705.06821"/></url>
<url><loc>https://scifaro.com/en/abs/learning-convolutional-text-representations-for-visual-question-answering-1705.06824</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-convolutional-text-representations-for-visual-question-answering-1705.06824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-convolutional-text-representations-for-visual-question-answering-1705.06824"/></url>
<url><loc>https://scifaro.com/en/abs/practical-algorithms-for-best-k-identification-in-multi-armed-bandits-1705.06894</loc><lastmod>2017-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-algorithms-for-best-k-identification-in-multi-armed-bandits-1705.06894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-algorithms-for-best-k-identification-in-multi-armed-bandits-1705.06894"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-estimates-for-linear-regression-via-volume-sampling-1705.06908</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-estimates-for-linear-regression-via-volume-sampling-1705.06908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-estimates-for-linear-regression-via-volume-sampling-1705.06908"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-graph-based-classifications-linear-regression-for-classification-and-normalized-radial-basis-function-network-1705.06922</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-graph-based-classifications-linear-regression-for-classification-and-normalized-radial-basis-function-network-1705.06922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-graph-based-classifications-linear-regression-for-classification-and-normalized-radial-basis-function-network-1705.06922"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-sampling-for-reinforcement-learning-worst-case-regret-bounds-1705.07041</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-sampling-for-reinforcement-learning-worst-case-regret-bounds-1705.07041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-sampling-for-reinforcement-learning-worst-case-regret-bounds-1705.07041"/></url>
<url><loc>https://scifaro.com/en/abs/linear-regression-without-correspondence-1705.07048</loc><lastmod>2017-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-regression-without-correspondence-1705.07048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-regression-without-correspondence-1705.07048"/></url>
<url><loc>https://scifaro.com/en/abs/ee-grad-exploration-and-exploitation-for-cost-efficient-mini-batch-sgd-1705.07070</loc><lastmod>2017-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ee-grad-exploration-and-exploitation-for-cost-efficient-mini-batch-sgd-1705.07070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ee-grad-exploration-and-exploitation-for-cost-efficient-mini-batch-sgd-1705.07070"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-accuracy-from-unlabeled-data-a-probabilistic-logic-approach-1705.07086</loc><lastmod>2017-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-accuracy-from-unlabeled-data-a-probabilistic-logic-approach-1705.07086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-accuracy-from-unlabeled-data-a-probabilistic-logic-approach-1705.07086"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-as-a-tool-to-predict-flow-patterns-in-two-phase-flow-1705.07117</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-as-a-tool-to-predict-flow-patterns-in-two-phase-flow-1705.07117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-as-a-tool-to-predict-flow-patterns-in-two-phase-flow-1705.07117"/></url>
<url><loc>https://scifaro.com/en/abs/vae-with-a-vampprior-1705.07120</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vae-with-a-vampprior-1705.07120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vae-with-a-vampprior-1705.07120"/></url>
<url><loc>https://scifaro.com/en/abs/softmax-q-distribution-estimation-for-structured-prediction-a-theoretical-interpretation-for-raml-1705.07136</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/softmax-q-distribution-estimation-for-structured-prediction-a-theoretical-interpretation-for-raml-1705.07136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/softmax-q-distribution-estimation-for-structured-prediction-a-theoretical-interpretation-for-raml-1705.07136"/></url>
<url><loc>https://scifaro.com/en/abs/local-information-with-feedback-perturbation-suffices-for-dictionary-learning-in-neural-circuits-1705.07149</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-information-with-feedback-perturbation-suffices-for-dictionary-learning-in-neural-circuits-1705.07149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-information-with-feedback-perturbation-suffices-for-dictionary-learning-in-neural-circuits-1705.07149"/></url>
<url><loc>https://scifaro.com/en/abs/nestrov-s-acceleration-for-second-order-method-1705.07171</loc><lastmod>2017-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nestrov-s-acceleration-for-second-order-method-1705.07171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nestrov-s-acceleration-for-second-order-method-1705.07171"/></url>
<url><loc>https://scifaro.com/en/abs/the-high-dimensional-geometry-of-binary-neural-networks-1705.07199</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-high-dimensional-geometry-of-binary-neural-networks-1705.07199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-high-dimensional-geometry-of-binary-neural-networks-1705.07199"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-modeling-for-time-series-problem-predicting-flight-ticket-prices-1705.07205</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-modeling-for-time-series-problem-predicting-flight-ticket-prices-1705.07205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-modeling-for-time-series-problem-predicting-flight-ticket-prices-1705.07205"/></url>
<url><loc>https://scifaro.com/en/abs/two-temperature-logistic-regression-based-on-the-tsallis-divergence-1705.07210</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-temperature-logistic-regression-based-on-the-tsallis-divergence-1705.07210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-temperature-logistic-regression-based-on-the-tsallis-divergence-1705.07210"/></url>
<url><loc>https://scifaro.com/en/abs/mtdeep-boosting-the-security-of-deep-neural-nets-against-adversarial-attacks-with-moving-target-defense-1705.07213</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mtdeep-boosting-the-security-of-deep-neural-nets-against-adversarial-attacks-with-moving-target-defense-1705.07213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mtdeep-boosting-the-security-of-deep-neural-nets-against-adversarial-attacks-with-moving-target-defense-1705.07213"/></url>
<url><loc>https://scifaro.com/en/abs/gar-an-efficient-and-scalable-graph-based-activity-regularization-for-semi-supervised-learning-1705.07219</loc><lastmod>2020-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gar-an-efficient-and-scalable-graph-based-activity-regularization-for-semi-supervised-learning-1705.07219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gar-an-efficient-and-scalable-graph-based-activity-regularization-for-semi-supervised-learning-1705.07219"/></url>
<url><loc>https://scifaro.com/en/abs/speedup-from-a-different-parametrization-within-the-neural-network-algorithm-1705.07250</loc><lastmod>2017-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speedup-from-a-different-parametrization-within-the-neural-network-algorithm-1705.07250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speedup-from-a-different-parametrization-within-the-neural-network-algorithm-1705.07250"/></url>
<url><loc>https://scifaro.com/en/abs/svm-via-saddle-point-optimization-new-bounds-and-distributed-algorithms-1705.07252</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/svm-via-saddle-point-optimization-new-bounds-and-distributed-algorithms-1705.07252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/svm-via-saddle-point-optimization-new-bounds-and-distributed-algorithms-1705.07252"/></url>
<url><loc>https://scifaro.com/en/abs/learning-feature-nonlinearities-with-non-convex-regularized-binned-regression-1705.07256</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-feature-nonlinearities-with-non-convex-regularized-binned-regression-1705.07256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-feature-nonlinearities-with-non-convex-regularized-binned-regression-1705.07256"/></url>
<url><loc>https://scifaro.com/en/abs/batch-reinforcement-learning-on-the-industrial-benchmark-first-experiences-1705.07262</loc><lastmod>2018-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-reinforcement-learning-on-the-industrial-benchmark-first-experiences-1705.07262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-reinforcement-learning-on-the-industrial-benchmark-first-experiences-1705.07262"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-are-not-easily-detected-bypassing-ten-detection-methods-1705.07263</loc><lastmod>2017-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-are-not-easily-detected-bypassing-ten-detection-methods-1705.07263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-are-not-easily-detected-bypassing-ten-detection-methods-1705.07263"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-factor-policies-and-action-value-functions-factored-action-space-representations-for-deep-reinforcement-learning-1705.07269</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-factor-policies-and-action-value-functions-factored-action-space-representations-for-deep-reinforcement-learning-1705.07269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-factor-policies-and-action-value-functions-factored-action-space-representations-for-deep-reinforcement-learning-1705.07269"/></url>
<url><loc>https://scifaro.com/en/abs/deep-sparse-coding-using-optimized-linear-expansion-of-thresholds-1705.07290</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-sparse-coding-using-optimized-linear-expansion-of-thresholds-1705.07290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-sparse-coding-using-optimized-linear-expansion-of-thresholds-1705.07290"/></url>
<url><loc>https://scifaro.com/en/abs/stabilizing-adversarial-nets-with-prediction-methods-1705.07364</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilizing-adversarial-nets-with-prediction-methods-1705.07364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilizing-adversarial-nets-with-prediction-methods-1705.07364"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-streaming-wasserstein-barycenters-1705.07443</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-streaming-wasserstein-barycenters-1705.07443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-streaming-wasserstein-barycenters-1705.07443"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-mix-n-step-returns-generalizing-lambda-returns-for-deep-reinforcement-learning-1705.07445</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-mix-n-step-returns-generalizing-lambda-returns-for-deep-reinforcement-learning-1705.07445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-mix-n-step-returns-generalizing-lambda-returns-for-deep-reinforcement-learning-1705.07445"/></url>
<url><loc>https://scifaro.com/en/abs/why-are-big-data-matrices-approximately-low-rank-1705.07474</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-are-big-data-matrices-approximately-low-rank-1705.07474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-are-big-data-matrices-approximately-low-rank-1705.07474"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-inference-using-sgd-1705.07477</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-inference-using-sgd-1705.07477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-inference-using-sgd-1705.07477"/></url>
<url><loc>https://scifaro.com/en/abs/shake-shake-regularization-1705.07485</loc><lastmod>2017-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shake-shake-regularization-1705.07485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shake-shake-regularization-1705.07485"/></url>
<url><loc>https://scifaro.com/en/abs/infrastructure-for-usable-machine-learning-the-stanford-dawn-project-1705.07538</loc><lastmod>2017-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infrastructure-for-usable-machine-learning-the-stanford-dawn-project-1705.07538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infrastructure-for-usable-machine-learning-the-stanford-dawn-project-1705.07538"/></url>
<url><loc>https://scifaro.com/en/abs/classification-using-proximity-catch-digraphs-technical-report-1705.07600</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-using-proximity-catch-digraphs-technical-report-1705.07600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-using-proximity-catch-digraphs-technical-report-1705.07600"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-binary-sketching-based-on-subspace-tracking-and-diagonal-uniformization-1705.07661</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-binary-sketching-based-on-subspace-tracking-and-diagonal-uniformization-1705.07661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-binary-sketching-based-on-subspace-tracking-and-diagonal-uniformization-1705.07661"/></url>
<url><loc>https://scifaro.com/en/abs/cayleynets-graph-convolutional-neural-networks-with-complex-rational-spectral-filters-1705.07664</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cayleynets-graph-convolutional-neural-networks-with-complex-rational-spectral-filters-1705.07664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cayleynets-graph-convolutional-neural-networks-with-complex-rational-spectral-filters-1705.07664"/></url>
<url><loc>https://scifaro.com/en/abs/individualized-risk-prognosis-for-critical-care-patients-a-multi-task-gaussian-process-model-1705.07674</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/individualized-risk-prognosis-for-critical-care-patients-a-multi-task-gaussian-process-model-1705.07674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/individualized-risk-prognosis-for-critical-care-patients-a-multi-task-gaussian-process-model-1705.07674"/></url>
<url><loc>https://scifaro.com/en/abs/an-out-of-the-box-full-network-embedding-for-convolutional-neural-networks-1705.07706</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-out-of-the-box-full-network-embedding-for-convolutional-neural-networks-1705.07706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-out-of-the-box-full-network-embedding-for-convolutional-neural-networks-1705.07706"/></url>
<url><loc>https://scifaro.com/en/abs/dissecting-adam-the-sign-magnitude-and-variance-of-stochastic-gradients-1705.07774</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dissecting-adam-the-sign-magnitude-and-variance-of-stochastic-gradients-1705.07774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dissecting-adam-the-sign-magnitude-and-variance-of-stochastic-gradients-1705.07774"/></url>
<url><loc>https://scifaro.com/en/abs/training-deep-networks-without-learning-rates-through-coin-betting-1705.07795</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-deep-networks-without-learning-rates-through-coin-betting-1705.07795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-deep-networks-without-learning-rates-through-coin-betting-1705.07795"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-view-of-entropy-regularized-markov-decision-processes-1705.07798</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-view-of-entropy-regularized-markov-decision-processes-1705.07798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-view-of-entropy-regularized-markov-decision-processes-1705.07798"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-analysis-of-generalization-capability-of-learning-algorithms-1705.07809</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-analysis-of-generalization-capability-of-learning-algorithms-1705.07809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-analysis-of-generalization-capability-of-learning-algorithms-1705.07809"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-statistical-learning-with-wasserstein-distances-1705.07815</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-statistical-learning-with-wasserstein-distances-1705.07815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-statistical-learning-with-wasserstein-distances-1705.07815"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-hierarchical-interaction-learning-with-epigraphical-projection-1705.07817</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-hierarchical-interaction-learning-with-epigraphical-projection-1705.07817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-hierarchical-interaction-learning-with-epigraphical-projection-1705.07817"/></url>
<url><loc>https://scifaro.com/en/abs/stabilizing-gan-training-with-multiple-random-projections-1705.07831</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilizing-gan-training-with-multiple-random-projections-1705.07831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilizing-gan-training-with-multiple-random-projections-1705.07831"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-online-regression-while-learning-the-metric-1705.07853</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-online-regression-while-learning-the-metric-1705.07853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-online-regression-while-learning-the-metric-1705.07853"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-fly-operation-batching-in-dynamic-computation-graphs-1705.07860</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-fly-operation-batching-in-dynamic-computation-graphs-1705.07860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-fly-operation-batching-in-dynamic-computation-graphs-1705.07860"/></url>
<url><loc>https://scifaro.com/en/abs/smartpaste-learning-to-adapt-source-code-1705.07867</loc><lastmod>2017-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smartpaste-learning-to-adapt-source-code-1705.07867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smartpaste-learning-to-adapt-source-code-1705.07867"/></url>
<url><loc>https://scifaro.com/en/abs/terngrad-ternary-gradients-to-reduce-communication-in-distributed-deep-learning-1705.07878</loc><lastmod>2018-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/terngrad-ternary-gradients-to-reduce-communication-in-distributed-deep-learning-1705.07878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/terngrad-ternary-gradients-to-reduce-communication-in-distributed-deep-learning-1705.07878"/></url>
<url><loc>https://scifaro.com/en/abs/online-factorization-and-partition-of-complex-networks-from-random-walks-1705.07881</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-factorization-and-partition-of-complex-networks-from-random-walks-1705.07881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-factorization-and-partition-of-complex-networks-from-random-walks-1705.07881"/></url>
<url><loc>https://scifaro.com/en/abs/semantically-decomposing-the-latent-spaces-of-generative-adversarial-networks-1705.07904</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantically-decomposing-the-latent-spaces-of-generative-adversarial-networks-1705.07904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantically-decomposing-the-latent-spaces-of-generative-adversarial-networks-1705.07904"/></url>
<url><loc>https://scifaro.com/en/abs/pix2code-generating-code-from-a-graphical-user-interface-screenshot-1705.07962</loc><lastmod>2017-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pix2code-generating-code-from-a-graphical-user-interface-screenshot-1705.07962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pix2code-generating-code-from-a-graphical-user-interface-screenshot-1705.07962"/></url>
<url><loc>https://scifaro.com/en/abs/diminishing-batch-normalization-1705.08011</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diminishing-batch-normalization-1705.08011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diminishing-batch-normalization-1705.08011"/></url>
<url><loc>https://scifaro.com/en/abs/training-deep-convolutional-neural-networks-with-resistive-cross-point-devices-1705.08014</loc><lastmod>2017-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-deep-convolutional-neural-networks-with-resistive-cross-point-devices-1705.08014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-deep-convolutional-neural-networks-with-resistive-cross-point-devices-1705.08014"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-stochastic-gradient-descent-with-sound-combiners-1705.08030</loc><lastmod>2017-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-stochastic-gradient-descent-with-sound-combiners-1705.08030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-stochastic-gradient-descent-with-sound-combiners-1705.08030"/></url>
<url><loc>https://scifaro.com/en/abs/detection-algorithms-for-communication-systems-using-deep-learning-1705.08044</loc><lastmod>2017-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-algorithms-for-communication-systems-using-deep-learning-1705.08044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-algorithms-for-communication-systems-using-deep-learning-1705.08044"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-learning-of-deep-generative-point-process-models-1705.08051</loc><lastmod>2017-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-learning-of-deep-generative-point-process-models-1705.08051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-learning-of-deep-generative-point-process-models-1705.08051"/></url>
<url><loc>https://scifaro.com/en/abs/compressing-recurrent-neural-network-with-tensor-train-1705.08052</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressing-recurrent-neural-network-with-tensor-train-1705.08052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressing-recurrent-neural-network-with-tensor-train-1705.08052"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-partial-correction-1705.08076</loc><lastmod>2018-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-partial-correction-1705.08076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-partial-correction-1705.08076"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-semi-bandits-with-knapsacks-1705.08110</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-semi-bandits-with-knapsacks-1705.08110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-semi-bandits-with-knapsacks-1705.08110"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-multitask-learning-with-nonlinear-output-relations-1705.08118</loc><lastmod>2017-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-multitask-learning-with-nonlinear-output-relations-1705.08118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-multitask-learning-with-nonlinear-output-relations-1705.08118"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-attacks-against-rnn-based-malware-detection-algorithms-1705.08131</loc><lastmod>2017-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-attacks-against-rnn-based-malware-detection-algorithms-1705.08131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-attacks-against-rnn-based-malware-detection-algorithms-1705.08131"/></url>
<url><loc>https://scifaro.com/en/abs/nearest-neighbor-sample-compression-efficiency-consistency-infinite-dimensions-1705.08184</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearest-neighbor-sample-compression-efficiency-consistency-infinite-dimensions-1705.08184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearest-neighbor-sample-compression-efficiency-consistency-infinite-dimensions-1705.08184"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-in-generative-adversarial-nets-1705.08395</loc><lastmod>2017-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-in-generative-adversarial-nets-1705.08395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-in-generative-adversarial-nets-1705.08395"/></url>
<url><loc>https://scifaro.com/en/abs/ridesourcing-car-detection-by-transfer-learning-1705.08409</loc><lastmod>2017-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ridesourcing-car-detection-by-transfer-learning-1705.08409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ridesourcing-car-detection-by-transfer-learning-1705.08409"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-state-space-models-for-optimal-sepsis-treatment-a-deep-reinforcement-learning-approach-1705.08422</loc><lastmod>2017-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-state-space-models-for-optimal-sepsis-treatment-a-deep-reinforcement-learning-approach-1705.08422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-state-space-models-for-optimal-sepsis-treatment-a-deep-reinforcement-learning-approach-1705.08422"/></url>
<url><loc>https://scifaro.com/en/abs/submultiplicative-glivenko-cantelli-and-uniform-convergence-of-revenues-1705.08430</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/submultiplicative-glivenko-cantelli-and-uniform-convergence-of-revenues-1705.08430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/submultiplicative-glivenko-cantelli-and-uniform-convergence-of-revenues-1705.08430"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-and-private-peer-to-peer-machine-learning-1705.08435</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-and-private-peer-to-peer-machine-learning-1705.08435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-and-private-peer-to-peer-machine-learning-1705.08435"/></url>
<url><loc>https://scifaro.com/en/abs/formal-guarantees-on-the-robustness-of-a-classifier-against-adversarial-manipulation-1705.08475</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/formal-guarantees-on-the-robustness-of-a-classifier-against-adversarial-manipulation-1705.08475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/formal-guarantees-on-the-robustness-of-a-classifier-against-adversarial-manipulation-1705.08475"/></url>
<url><loc>https://scifaro.com/en/abs/efficiently-applying-attention-to-sequential-data-with-the-recurrent-discounted-attention-unit-1705.08480</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiently-applying-attention-to-sequential-data-with-the-recurrent-discounted-attention-unit-1705.08480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiently-applying-attention-to-sequential-data-with-the-recurrent-discounted-attention-unit-1705.08480"/></url>
<url><loc>https://scifaro.com/en/abs/clinical-intervention-prediction-and-understanding-using-deep-networks-1705.08498</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clinical-intervention-prediction-and-understanding-using-deep-networks-1705.08498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clinical-intervention-prediction-and-understanding-using-deep-networks-1705.08498"/></url>
<url><loc>https://scifaro.com/en/abs/the-prediction-advantage-a-universally-meaningful-performance-measure-for-classification-and-regression-1705.08499</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-prediction-advantage-a-universally-meaningful-performance-measure-for-classification-and-regression-1705.08499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-prediction-advantage-a-universally-meaningful-performance-measure-for-classification-and-regression-1705.08499"/></url>
<url><loc>https://scifaro.com/en/abs/selective-classification-for-deep-neural-networks-1705.08500</loc><lastmod>2017-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-classification-for-deep-neural-networks-1705.08500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-classification-for-deep-neural-networks-1705.08500"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-blackbox-models-via-model-extraction-1705.08504</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-blackbox-models-via-model-extraction-1705.08504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-blackbox-models-via-model-extraction-1705.08504"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-random-fourier-features-using-stein-effect-1705.08525</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-random-fourier-features-using-stein-effect-1705.08525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-random-fourier-features-using-stein-effect-1705.08525"/></url>
<url><loc>https://scifaro.com/en/abs/towards-interrogating-discriminative-machine-learning-models-1705.08564</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-interrogating-discriminative-machine-learning-models-1705.08564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-interrogating-discriminative-machine-learning-models-1705.08564"/></url>
<url><loc>https://scifaro.com/en/abs/mmd-gan-towards-deeper-understanding-of-moment-matching-network-1705.08584</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mmd-gan-towards-deeper-understanding-of-moment-matching-network-1705.08584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mmd-gan-towards-deeper-understanding-of-moment-matching-network-1705.08584"/></url>
<url><loc>https://scifaro.com/en/abs/dictionary-based-monitoring-of-premature-ventricular-contractions-an-ultra-low-cost-point-of-care-service-1705.08619</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dictionary-based-monitoring-of-premature-ventricular-contractions-an-ultra-low-cost-point-of-care-service-1705.08619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dictionary-based-monitoring-of-premature-ventricular-contractions-an-ultra-low-cost-point-of-care-service-1705.08619"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-sequential-neural-networks-with-structured-inference-1705.08695</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-sequential-neural-networks-with-structured-inference-1705.08695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-sequential-neural-networks-with-structured-inference-1705.08695"/></url>
<url><loc>https://scifaro.com/en/abs/open-category-classification-by-adversarial-sample-generation-1705.08722</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-category-classification-by-adversarial-sample-generation-1705.08722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-category-classification-by-adversarial-sample-generation-1705.08722"/></url>
<url><loc>https://scifaro.com/en/abs/multi-level-variational-autoencoder-learning-disentangled-representations-from-grouped-observations-1705.08841</loc><lastmod>2017-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-level-variational-autoencoder-learning-disentangled-representations-from-grouped-observations-1705.08841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-level-variational-autoencoder-learning-disentangled-representations-from-grouped-observations-1705.08841"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-with-gans-manifold-invariance-with-improved-inference-1705.08850</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-with-gans-manifold-invariance-with-improved-inference-1705.08850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-with-gans-manifold-invariance-with-improved-inference-1705.08850"/></url>
<url><loc>https://scifaro.com/en/abs/flow-gan-combining-maximum-likelihood-and-adversarial-learning-in-generative-models-1705.08868</loc><lastmod>2018-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flow-gan-combining-maximum-likelihood-and-adversarial-learning-in-generative-models-1705.08868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flow-gan-combining-maximum-likelihood-and-adversarial-learning-in-generative-models-1705.08868"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-layers-for-video-analysis-1705.08918</loc><lastmod>2017-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-layers-for-video-analysis-1705.08918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-layers-for-video-analysis-1705.08918"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-regularity-of-sparse-structure-in-convolutional-neural-networks-1705.08922</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-regularity-of-sparse-structure-in-convolutional-neural-networks-1705.08922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-regularity-of-sparse-structure-in-convolutional-neural-networks-1705.08922"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-cooperative-inference-1705.08971</loc><lastmod>2018-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-cooperative-inference-1705.08971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-cooperative-inference-1705.08971"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-the-intensity-function-of-point-process-via-recurrent-neural-networks-1705.08982</loc><lastmod>2017-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-the-intensity-function-of-point-process-via-recurrent-neural-networks-1705.08982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-the-intensity-function-of-point-process-via-recurrent-neural-networks-1705.08982"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-and-convergence-properties-of-generative-adversarial-learning-1705.08991</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-and-convergence-properties-of-generative-adversarial-learning-1705.08991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-and-convergence-properties-of-generative-adversarial-learning-1705.08991"/></url>
<url><loc>https://scifaro.com/en/abs/principled-hybrids-of-generative-and-discriminative-domain-adaptation-1705.09011</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principled-hybrids-of-generative-and-discriminative-domain-adaptation-1705.09011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principled-hybrids-of-generative-and-discriminative-domain-adaptation-1705.09011"/></url>
<url><loc>https://scifaro.com/en/abs/best-choice-edge-grafting-for-efficient-structure-learning-of-markov-random-fields-1705.09026</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-choice-edge-grafting-for-efficient-structure-learning-of-markov-random-fields-1705.09026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-choice-edge-grafting-for-efficient-structure-learning-of-markov-random-fields-1705.09026"/></url>
<url><loc>https://scifaro.com/en/abs/the-cost-of-fairness-in-classification-1705.09055</loc><lastmod>2017-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-cost-of-fairness-in-classification-1705.09055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-cost-of-fairness-in-classification-1705.09055"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-methods-for-robust-data-analysis-in-high-dimension-1705.09269</loc><lastmod>2017-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-methods-for-robust-data-analysis-in-high-dimension-1705.09269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-methods-for-robust-data-analysis-in-high-dimension-1705.09269"/></url>
<url><loc>https://scifaro.com/en/abs/filtering-variational-objectives-1705.09279</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/filtering-variational-objectives-1705.09279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/filtering-variational-objectives-1705.09279"/></url>
<url><loc>https://scifaro.com/en/abs/gxnor-net-training-deep-neural-networks-with-ternary-weights-and-activations-without-full-precision-memory-under-a-unified-discretization-framework-1705.09283</loc><lastmod>2018-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gxnor-net-training-deep-neural-networks-with-ternary-weights-and-activations-without-full-precision-memory-under-a-unified-discretization-framework-1705.09283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gxnor-net-training-deep-neural-networks-with-ternary-weights-and-activations-without-full-precision-memory-under-a-unified-discretization-framework-1705.09283"/></url>
<url><loc>https://scifaro.com/en/abs/latent-geometry-and-memorization-in-generative-models-1705.09303</loc><lastmod>2017-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-geometry-and-memorization-in-generative-models-1705.09303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-geometry-and-memorization-in-generative-models-1705.09303"/></url>
<url><loc>https://scifaro.com/en/abs/diagonal-rescaling-for-neural-networks-1705.09319</loc><lastmod>2017-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diagonal-rescaling-for-neural-networks-1705.09319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diagonal-rescaling-for-neural-networks-1705.09319"/></url>
<url><loc>https://scifaro.com/en/abs/convergent-tree-backup-and-retrace-with-function-approximation-1705.09322</loc><lastmod>2019-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergent-tree-backup-and-retrace-with-function-approximation-1705.09322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergent-tree-backup-and-retrace-with-function-approximation-1705.09322"/></url>
<url><loc>https://scifaro.com/en/abs/generating-time-based-label-refinements-to-discover-more-precise-process-models-1705.09359</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-time-based-label-refinements-to-discover-more-precise-process-models-1705.09359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-time-based-label-refinements-to-discover-more-precise-process-models-1705.09359"/></url>
<url><loc>https://scifaro.com/en/abs/stabilizing-training-of-generative-adversarial-networks-through-regularization-1705.09367</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilizing-training-of-generative-adversarial-networks-through-regularization-1705.09367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilizing-training-of-generative-adversarial-networks-through-regularization-1705.09367"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-machine-learning-a-survey-and-taxonomy-1705.09406</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-machine-learning-a-survey-and-taxonomy-1705.09406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-machine-learning-a-survey-and-taxonomy-1705.09406"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-algorithm-for-bayesian-nearest-neighbours-1705.09407</loc><lastmod>2017-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-algorithm-for-bayesian-nearest-neighbours-1705.09407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-algorithm-for-bayesian-nearest-neighbours-1705.09407"/></url>
<url><loc>https://scifaro.com/en/abs/human-trajectory-prediction-using-spatially-aware-deep-attention-models-1705.09436</loc><lastmod>2017-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-trajectory-prediction-using-spatially-aware-deep-attention-models-1705.09436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-trajectory-prediction-using-spatially-aware-deep-attention-models-1705.09436"/></url>
<url><loc>https://scifaro.com/en/abs/learning-robust-features-with-incremental-auto-encoders-1705.09476</loc><lastmod>2017-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-robust-features-with-incremental-auto-encoders-1705.09476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-robust-features-with-incremental-auto-encoders-1705.09476"/></url>
<url><loc>https://scifaro.com/en/abs/a-sampling-theory-perspective-of-graph-based-semi-supervised-learning-1705.09518</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sampling-theory-perspective-of-graph-based-semi-supervised-learning-1705.09518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sampling-theory-perspective-of-graph-based-semi-supervised-learning-1705.09518"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-multi-armed-bandits-with-filtered-feedback-1705.09605</loc><lastmod>2017-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-multi-armed-bandits-with-filtered-feedback-1705.09605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-multi-armed-bandits-with-filtered-feedback-1705.09605"/></url>
<url><loc>https://scifaro.com/en/abs/learning-causal-structures-using-regression-invariance-1705.09644</loc><lastmod>2017-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-causal-structures-using-regression-invariance-1705.09644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-causal-structures-using-regression-invariance-1705.09644"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-in-a-digital-video-broadcasting-system-using-timed-automata-1705.09650</loc><lastmod>2017-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-in-a-digital-video-broadcasting-system-using-timed-automata-1705.09650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-in-a-digital-video-broadcasting-system-using-timed-automata-1705.09650"/></url>
<url><loc>https://scifaro.com/en/abs/fisher-gan-1705.09675</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fisher-gan-1705.09675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fisher-gan-1705.09675"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-source-domain-adaptation-with-adversarial-training-of-neural-networks-1705.09684</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-source-domain-adaptation-with-adversarial-training-of-neural-networks-1705.09684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-source-domain-adaptation-with-adversarial-training-of-neural-networks-1705.09684"/></url>
<url><loc>https://scifaro.com/en/abs/mat-a-multi-strength-adversarial-training-method-to-mitigate-adversarial-attacks-1705.09764</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mat-a-multi-strength-adversarial-training-method-to-mitigate-adversarial-attacks-1705.09764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mat-a-multi-strength-adversarial-training-method-to-mitigate-adversarial-attacks-1705.09764"/></url>
<url><loc>https://scifaro.com/en/abs/good-semi-supervised-learning-that-requires-a-bad-gan-1705.09783</loc><lastmod>2017-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/good-semi-supervised-learning-that-requires-a-bad-gan-1705.09783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/good-semi-supervised-learning-that-requires-a-bad-gan-1705.09783"/></url>
<url><loc>https://scifaro.com/en/abs/ampnet-asynchronous-model-parallel-training-for-dynamic-neural-networks-1705.09786</loc><lastmod>2017-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ampnet-asynchronous-model-parallel-training-for-dynamic-neural-networks-1705.09786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ampnet-asynchronous-model-parallel-training-for-dynamic-neural-networks-1705.09786"/></url>
<url><loc>https://scifaro.com/en/abs/bmxnet-an-open-source-binary-neural-network-implementation-based-on-mxnet-1705.09864</loc><lastmod>2017-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bmxnet-an-open-source-binary-neural-network-implementation-based-on-mxnet-1705.09864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bmxnet-an-open-source-binary-neural-network-implementation-based-on-mxnet-1705.09864"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-analysis-of-two-layer-neural-networks-with-relu-activation-1705.09886</loc><lastmod>2017-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-analysis-of-two-layer-neural-networks-with-relu-activation-1705.09886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-analysis-of-two-layer-neural-networks-with-relu-activation-1705.09886"/></url>
<url><loc>https://scifaro.com/en/abs/learning-data-manifolds-with-a-cutting-plane-method-1705.09944</loc><lastmod>2018-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-data-manifolds-with-a-cutting-plane-method-1705.09944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-data-manifolds-with-a-cutting-plane-method-1705.09944"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-expected-improvement-algorithm-1705.10033</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-expected-improvement-algorithm-1705.10033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-expected-improvement-algorithm-1705.10033"/></url>
<url><loc>https://scifaro.com/en/abs/learning-network-structures-from-contagion-1705.10051</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-network-structures-from-contagion-1705.10051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-network-structures-from-contagion-1705.10051"/></url>
<url><loc>https://scifaro.com/en/abs/dicod-distributed-convolutional-sparse-coding-1705.10087</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dicod-distributed-convolutional-sparse-coding-1705.10087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dicod-distributed-convolutional-sparse-coding-1705.10087"/></url>
<url><loc>https://scifaro.com/en/abs/kronecker-recurrent-units-1705.10142</loc><lastmod>2018-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kronecker-recurrent-units-1705.10142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kronecker-recurrent-units-1705.10142"/></url>
<url><loc>https://scifaro.com/en/abs/mining-process-model-descriptions-of-daily-life-through-event-abstraction-1705.10202</loc><lastmod>2018-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-process-model-descriptions-of-daily-life-through-event-abstraction-1705.10202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-process-model-descriptions-of-daily-life-through-event-abstraction-1705.10202"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-patient-specific-kidney-graft-survival-analysis-1705.10245</loc><lastmod>2017-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-patient-specific-kidney-graft-survival-analysis-1705.10245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-patient-specific-kidney-graft-survival-analysis-1705.10245"/></url>
<url><loc>https://scifaro.com/en/abs/boltzmann-exploration-done-right-1705.10257</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boltzmann-exploration-done-right-1705.10257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boltzmann-exploration-done-right-1705.10257"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-explanation-networks-1705.10301</loc><lastmod>2020-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-explanation-networks-1705.10301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-explanation-networks-1705.10301"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-major-depressive-disorder-via-multi-site-weighted-lasso-model-1705.10312</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-major-depressive-disorder-via-multi-site-weighted-lasso-model-1705.10312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-major-depressive-disorder-via-multi-site-weighted-lasso-model-1705.10312"/></url>
<url><loc>https://scifaro.com/en/abs/emergent-communication-in-a-multi-modal-multi-step-referential-game-1705.10369</loc><lastmod>2018-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emergent-communication-in-a-multi-modal-multi-step-referential-game-1705.10369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emergent-communication-in-a-multi-modal-multi-step-referential-game-1705.10369"/></url>
<url><loc>https://scifaro.com/en/abs/the-numerics-of-gans-1705.10461</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-numerics-of-gans-1705.10461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-numerics-of-gans-1705.10461"/></url>
<url><loc>https://scifaro.com/en/abs/federated-multi-task-learning-1705.10467</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-multi-task-learning-1705.10467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-multi-task-learning-1705.10467"/></url>
<url><loc>https://scifaro.com/en/abs/online-to-offline-conversions-universality-and-adaptive-minibatch-sizes-1705.10499</loc><lastmod>2017-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-to-offline-conversions-universality-and-adaptive-minibatch-sizes-1705.10499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-to-offline-conversions-universality-and-adaptive-minibatch-sizes-1705.10499"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-restricted-boltzmann-machines-and-deep-belief-networks-in-compressed-sensing-1705.10500</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-restricted-boltzmann-machines-and-deep-belief-networks-in-compressed-sensing-1705.10500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-restricted-boltzmann-machines-and-deep-belief-networks-in-compressed-sensing-1705.10500"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-low-entropy-based-associative-reasoning-or-qlear-learning-1705.10503</loc><lastmod>2017-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-low-entropy-based-associative-reasoning-or-qlear-learning-1705.10503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-low-entropy-based-associative-reasoning-or-qlear-learning-1705.10503"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-policy-optimization-1705.10528</loc><lastmod>2017-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-policy-optimization-1705.10528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-policy-optimization-1705.10528"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-adversarial-domain-adaptation-1705.10667</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-adversarial-domain-adaptation-1705.10667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-adversarial-domain-adaptation-1705.10667"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-is-robust-to-massive-label-noise-1705.10694</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-is-robust-to-massive-label-noise-1705.10694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-is-robust-to-massive-label-noise-1705.10694"/></url>
<url><loc>https://scifaro.com/en/abs/the-cramer-distance-as-a-solution-to-biased-wasserstein-gradients-1705.10743</loc><lastmod>2017-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-cramer-distance-as-a-solution-to-biased-wasserstein-gradients-1705.10743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-cramer-distance-as-a-solution-to-biased-wasserstein-gradients-1705.10743"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-base-completion-baselines-strike-back-1705.10744</loc><lastmod>2017-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-base-completion-baselines-strike-back-1705.10744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-base-completion-baselines-strike-back-1705.10744"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-estimation-of-distributions-1705.10750</loc><lastmod>2017-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-estimation-of-distributions-1705.10750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-estimation-of-distributions-1705.10750"/></url>
<url><loc>https://scifaro.com/en/abs/generative-models-of-visually-grounded-imagination-1705.10762</loc><lastmod>2018-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-models-of-visually-grounded-imagination-1705.10762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-models-of-visually-grounded-imagination-1705.10762"/></url>
<url><loc>https://scifaro.com/en/abs/forward-backward-selection-with-early-dropping-1705.10770</loc><lastmod>2017-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forward-backward-selection-with-early-dropping-1705.10770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forward-backward-selection-with-early-dropping-1705.10770"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-for-detecting-human-trafficking-1705.10786</loc><lastmod>2017-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-for-detecting-human-trafficking-1705.10786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-for-detecting-human-trafficking-1705.10786"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-neural-architecture-search-using-performance-prediction-1705.10823</loc><lastmod>2017-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-neural-architecture-search-using-performance-prediction-1705.10823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-neural-architecture-search-using-performance-prediction-1705.10823"/></url>
<url><loc>https://scifaro.com/en/abs/accuracy-first-selecting-a-differential-privacy-level-for-accuracy-constrained-erm-1705.10829</loc><lastmod>2017-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accuracy-first-selecting-a-differential-privacy-level-for-accuracy-constrained-erm-1705.10829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accuracy-first-selecting-a-differential-privacy-level-for-accuracy-constrained-erm-1705.10829"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-structured-superposition-models-1705.10886</loc><lastmod>2017-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-structured-superposition-models-1705.10886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-structured-superposition-models-1705.10886"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-disentangled-representations-from-video-1705.10915</loc><lastmod>2024-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-disentangled-representations-from-video-1705.10915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-disentangled-representations-from-video-1705.10915"/></url>
<url><loc>https://scifaro.com/en/abs/the-alamo-approach-to-machine-learning-1705.10918</loc><lastmod>2017-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-alamo-approach-to-machine-learning-1705.10918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-alamo-approach-to-machine-learning-1705.10918"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-algorithms-for-cone-constrained-optimization-with-convergence-guarantees-1705.11041</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-algorithms-for-cone-constrained-optimization-with-convergence-guarantees-1705.11041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-algorithms-for-cone-constrained-optimization-with-convergence-guarantees-1705.11041"/></url>
<url><loc>https://scifaro.com/en/abs/hinet-hierarchical-classification-with-neural-network-1705.11105</loc><lastmod>2018-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hinet-hierarchical-classification-with-neural-network-1705.11105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hinet-hierarchical-classification-with-neural-network-1705.11105"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-properties-of-markov-random-fields-and-their-algorithmic-applications-1705.11107</loc><lastmod>2017-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-properties-of-markov-random-fields-and-their-algorithmic-applications-1705.11107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-properties-of-markov-random-fields-and-their-algorithmic-applications-1705.11107"/></url>
<url><loc>https://scifaro.com/en/abs/controllable-invariance-through-adversarial-feature-learning-1705.11122</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controllable-invariance-through-adversarial-feature-learning-1705.11122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controllable-invariance-through-adversarial-feature-learning-1705.11122"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-learning-rate-control-1705.11159</loc><lastmod>2017-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-learning-rate-control-1705.11159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-learning-rate-control-1705.11159"/></url>
<url><loc>https://scifaro.com/en/abs/emergence-of-language-with-multi-agent-games-learning-to-communicate-with-sequences-of-symbols-1705.11192</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emergence-of-language-with-multi-agent-games-learning-to-communicate-with-sequences-of-symbols-1705.11192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emergence-of-language-with-multi-agent-games-learning-to-communicate-with-sequences-of-symbols-1705.11192"/></url>
<url><loc>https://scifaro.com/en/abs/toward-robustness-against-label-noise-in-training-deep-discriminative-neural-networks-1706.00038</loc><lastmod>2017-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-robustness-against-label-noise-in-training-deep-discriminative-neural-networks-1706.00038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-robustness-against-label-noise-in-training-deep-discriminative-neural-networks-1706.00038"/></url>
<url><loc>https://scifaro.com/en/abs/biased-importance-sampling-for-deep-neural-network-training-1706.00043</loc><lastmod>2017-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biased-importance-sampling-for-deep-neural-network-training-1706.00043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biased-importance-sampling-for-deep-neural-network-training-1706.00043"/></url>
<url><loc>https://scifaro.com/en/abs/learning-time-memory-efficient-deep-architectures-with-budgeted-super-networks-1706.00046</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-time-memory-efficient-deep-architectures-with-budgeted-super-networks-1706.00046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-time-memory-efficient-deep-architectures-with-budgeted-super-networks-1706.00046"/></url>
<url><loc>https://scifaro.com/en/abs/the-sample-complexity-of-online-one-class-collaborative-filtering-1706.00061</loc><lastmod>2017-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-sample-complexity-of-online-one-class-collaborative-filtering-1706.00061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-sample-complexity-of-online-one-class-collaborative-filtering-1706.00061"/></url>
<url><loc>https://scifaro.com/en/abs/free-energy-based-reinforcement-learning-using-a-quantum-processor-1706.00074</loc><lastmod>2017-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/free-energy-based-reinforcement-learning-using-a-quantum-processor-1706.00074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/free-energy-based-reinforcement-learning-using-a-quantum-processor-1706.00074"/></url>
<url><loc>https://scifaro.com/en/abs/using-gpi-2-for-distributed-memory-paralleliziation-of-the-caffe-toolbox-to-speed-up-deep-neural-network-training-1706.00095</loc><lastmod>2017-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-gpi-2-for-distributed-memory-paralleliziation-of-the-caffe-toolbox-to-speed-up-deep-neural-network-training-1706.00095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-gpi-2-for-distributed-memory-paralleliziation-of-the-caffe-toolbox-to-speed-up-deep-neural-network-training-1706.00095"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-fairness-1706.00119</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-fairness-1706.00119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-fairness-1706.00119"/></url>
<url><loc>https://scifaro.com/en/abs/krylov-subspace-recycling-for-fast-iterative-least-squares-in-machine-learning-1706.00241</loc><lastmod>2017-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/krylov-subspace-recycling-for-fast-iterative-least-squares-in-machine-learning-1706.00241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/krylov-subspace-recycling-for-fast-iterative-least-squares-in-machine-learning-1706.00241"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-compute-word-embeddings-on-the-fly-1706.00286</loc><lastmod>2018-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-compute-word-embeddings-on-the-fly-1706.00286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-compute-word-embeddings-on-the-fly-1706.00286"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-speech-recognition-on-a-budget-1706.00290</loc><lastmod>2017-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-speech-recognition-on-a-budget-1706.00290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-speech-recognition-on-a-budget-1706.00290"/></url>
<url><loc>https://scifaro.com/en/abs/interpolated-policy-gradient-merging-on-policy-and-off-policy-gradient-estimation-for-deep-reinforcement-learning-1706.00387</loc><lastmod>2017-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpolated-policy-gradient-merging-on-policy-and-off-policy-gradient-estimation-for-deep-reinforcement-learning-1706.00387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpolated-policy-gradient-merging-on-policy-and-off-policy-gradient-estimation-for-deep-reinforcement-learning-1706.00387"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-contraction-layers-for-parsimonious-deep-nets-1706.00439</loc><lastmod>2017-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-contraction-layers-for-parsimonious-deep-nets-1706.00439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-contraction-layers-for-parsimonious-deep-nets-1706.00439"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-conditional-restricted-boltzmann-machine-for-discrete-choice-and-latent-variable-modelling-1706.00505</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-conditional-restricted-boltzmann-machine-for-discrete-choice-and-latent-variable-modelling-1706.00505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-conditional-restricted-boltzmann-machine-for-discrete-choice-and-latent-variable-modelling-1706.00505"/></url>
<url><loc>https://scifaro.com/en/abs/pixelgan-autoencoders-1706.00531</loc><lastmod>2017-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pixelgan-autoencoders-1706.00531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pixelgan-autoencoders-1706.00531"/></url>
<url><loc>https://scifaro.com/en/abs/on-unifying-deep-generative-models-1706.00550</loc><lastmod>2018-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-unifying-deep-generative-models-1706.00550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-unifying-deep-generative-models-1706.00550"/></url>
<url><loc>https://scifaro.com/en/abs/learning-based-surgical-workflow-detection-from-intra-operative-signals-1706.00587</loc><lastmod>2017-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-based-surgical-workflow-detection-from-intra-operative-signals-1706.00587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-based-surgical-workflow-detection-from-intra-operative-signals-1706.00587"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-detection-of-adversarial-examples-1706.00633</loc><lastmod>2018-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-detection-of-adversarial-examples-1706.00633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-detection-of-adversarial-examples-1706.00633"/></url>
<url><loc>https://scifaro.com/en/abs/weight-sharing-is-crucial-to-succesful-optimization-1706.00687</loc><lastmod>2017-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weight-sharing-is-crucial-to-succesful-optimization-1706.00687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weight-sharing-is-crucial-to-succesful-optimization-1706.00687"/></url>
<url><loc>https://scifaro.com/en/abs/computationally-and-statistically-efficient-learning-of-causal-bayes-nets-using-path-queries-1706.00754</loc><lastmod>2019-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computationally-and-statistically-efficient-learning-of-causal-bayes-nets-using-path-queries-1706.00754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computationally-and-statistically-efficient-learning-of-causal-bayes-nets-using-path-queries-1706.00754"/></url>
<url><loc>https://scifaro.com/en/abs/hyperparameter-optimization-a-spectral-approach-1706.00764</loc><lastmod>2018-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperparameter-optimization-a-spectral-approach-1706.00764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperparameter-optimization-a-spectral-approach-1706.00764"/></url>
<url><loc>https://scifaro.com/en/abs/information-privacy-and-stability-in-adaptive-data-analysis-1706.00820</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-privacy-and-stability-in-adaptive-data-analysis-1706.00820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-privacy-and-stability-in-adaptive-data-analysis-1706.00820"/></url>
<url><loc>https://scifaro.com/en/abs/online-dynamic-programming-1706.00834</loc><lastmod>2025-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-dynamic-programming-1706.00834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-dynamic-programming-1706.00834"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-kernel-learning-and-automatic-subspace-relevance-determination-for-high-dimensional-neuroimaging-data-1706.00856</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-kernel-learning-and-automatic-subspace-relevance-determination-for-high-dimensional-neuroimaging-data-1706.00856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-kernel-learning-and-automatic-subspace-relevance-determination-for-high-dimensional-neuroimaging-data-1706.00856"/></url>
<url><loc>https://scifaro.com/en/abs/financial-series-prediction-comparison-between-precision-of-time-series-models-and-machine-learning-methods-1706.00948</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/financial-series-prediction-comparison-between-precision-of-time-series-models-and-machine-learning-methods-1706.00948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/financial-series-prediction-comparison-between-precision-of-time-series-models-and-machine-learning-methods-1706.00948"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-the-mnl-bandit-1706.00977</loc><lastmod>2019-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-the-mnl-bandit-1706.00977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-the-mnl-bandit-1706.00977"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-classification-cluster-and-label-approach-using-particle-swarm-optimization-1706.00996</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-classification-cluster-and-label-approach-using-particle-swarm-optimization-1706.00996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-classification-cluster-and-label-approach-using-particle-swarm-optimization-1706.00996"/></url>
<url><loc>https://scifaro.com/en/abs/center-of-gravity-pso-for-partitioning-clustering-1706.00997</loc><lastmod>2017-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/center-of-gravity-pso-for-partitioning-clustering-1706.00997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/center-of-gravity-pso-for-partitioning-clustering-1706.00997"/></url>
<url><loc>https://scifaro.com/en/abs/swarm-intelligence-in-semi-supervised-classification-1706.00998</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/swarm-intelligence-in-semi-supervised-classification-1706.00998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/swarm-intelligence-in-semi-supervised-classification-1706.00998"/></url>
<url><loc>https://scifaro.com/en/abs/deepsf-deep-convolutional-neural-network-for-mapping-protein-sequences-to-folds-1706.01010</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepsf-deep-convolutional-neural-network-for-mapping-protein-sequences-to-folds-1706.01010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepsf-deep-convolutional-neural-network-for-mapping-protein-sequences-to-folds-1706.01010"/></url>
<url><loc>https://scifaro.com/en/abs/nonconvex-penalties-with-analytical-solutions-for-one-bit-compressive-sensing-1706.01014</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonconvex-penalties-with-analytical-solutions-for-one-bit-compressive-sensing-1706.01014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonconvex-penalties-with-analytical-solutions-for-one-bit-compressive-sensing-1706.01014"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-multiple-arm-identification-1706.01026</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-multiple-arm-identification-1706.01026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-multiple-arm-identification-1706.01026"/></url>
<url><loc>https://scifaro.com/en/abs/nearly-optimal-sampling-algorithms-for-combinatorial-pure-exploration-1706.01081</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearly-optimal-sampling-algorithms-for-combinatorial-pure-exploration-1706.01081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearly-optimal-sampling-algorithms-for-combinatorial-pure-exploration-1706.01081"/></url>
<url><loc>https://scifaro.com/en/abs/evolving-imputation-strategies-for-missing-data-in-classification-problems-with-tpot-1706.01120</loc><lastmod>2017-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolving-imputation-strategies-for-missing-data-in-classification-problems-with-tpot-1706.01120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolving-imputation-strategies-for-missing-data-in-classification-problems-with-tpot-1706.01120"/></url>
<url><loc>https://scifaro.com/en/abs/inconsistent-node-flattening-for-improving-top-down-hierarchical-classification-1706.01214</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inconsistent-node-flattening-for-improving-top-down-hierarchical-classification-1706.01214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inconsistent-node-flattening-for-improving-top-down-hierarchical-classification-1706.01214"/></url>
<url><loc>https://scifaro.com/en/abs/deepiot-compressing-deep-neural-network-structures-for-sensing-systems-with-a-compressor-critic-framework-1706.01215</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepiot-compressing-deep-neural-network-structures-for-sensing-systems-with-a-compressor-critic-framework-1706.01215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepiot-compressing-deep-neural-network-structures-for-sensing-systems-with-a-compressor-critic-framework-1706.01215"/></url>
<url><loc>https://scifaro.com/en/abs/towards-synthesizing-complex-programs-from-input-output-examples-1706.01284</loc><lastmod>2018-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-synthesizing-complex-programs-from-input-output-examples-1706.01284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-synthesizing-complex-programs-from-input-output-examples-1706.01284"/></url>
<url><loc>https://scifaro.com/en/abs/emergence-of-invariance-and-disentanglement-in-deep-representations-1706.01350</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emergence-of-invariance-and-disentanglement-in-deep-representations-1706.01350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emergence-of-invariance-and-disentanglement-in-deep-representations-1706.01350"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-stochastic-bandits-1706.01383</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-stochastic-bandits-1706.01383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-stochastic-bandits-1706.01383"/></url>
<url><loc>https://scifaro.com/en/abs/multi-observation-elicitation-1706.01394</loc><lastmod>2017-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-observation-elicitation-1706.01394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-observation-elicitation-1706.01394"/></url>
<url><loc>https://scifaro.com/en/abs/ucb-exploration-via-q-ensembles-1706.01502</loc><lastmod>2017-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ucb-exploration-via-q-ensembles-1706.01502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ucb-exploration-via-q-ensembles-1706.01502"/></url>
<url><loc>https://scifaro.com/en/abs/progressive-boosting-for-class-imbalance-1706.01531</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progressive-boosting-for-class-imbalance-1706.01531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progressive-boosting-for-class-imbalance-1706.01531"/></url>
<url><loc>https://scifaro.com/en/abs/embedding-feature-selection-for-large-scale-hierarchical-classification-1706.01581</loc><lastmod>2017-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedding-feature-selection-for-large-scale-hierarchical-classification-1706.01581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedding-feature-selection-for-large-scale-hierarchical-classification-1706.01581"/></url>
<url><loc>https://scifaro.com/en/abs/classifying-documents-within-multiple-hierarchical-datasets-using-multi-task-learning-1706.01583</loc><lastmod>2017-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifying-documents-within-multiple-hierarchical-datasets-using-multi-task-learning-1706.01583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifying-documents-within-multiple-hierarchical-datasets-using-multi-task-learning-1706.01583"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-learning-of-mixtures-1706.01596</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-learning-of-mixtures-1706.01596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-learning-of-mixtures-1706.01596"/></url>
<url><loc>https://scifaro.com/en/abs/deepkey-an-eeg-and-gait-based-dual-authentication-system-1706.01606</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepkey-an-eeg-and-gait-based-dual-authentication-system-1706.01606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepkey-an-eeg-and-gait-based-dual-authentication-system-1706.01606"/></url>
<url><loc>https://scifaro.com/en/abs/retrosynthetic-reaction-prediction-using-neural-sequence-to-sequence-models-1706.01643</loc><lastmod>2017-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/retrosynthetic-reaction-prediction-using-neural-sequence-to-sequence-models-1706.01643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/retrosynthetic-reaction-prediction-using-neural-sequence-to-sequence-models-1706.01643"/></url>
<url><loc>https://scifaro.com/en/abs/learning-pairwise-disjoint-simple-languages-from-positive-examples-1706.01663</loc><lastmod>2017-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-pairwise-disjoint-simple-languages-from-positive-examples-1706.01663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-pairwise-disjoint-simple-languages-from-positive-examples-1706.01663"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-kernels-for-low-dimensional-modeling-of-seismic-events-1706.01750</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-kernels-for-low-dimensional-modeling-of-seismic-events-1706.01750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-kernels-for-low-dimensional-modeling-of-seismic-events-1706.01750"/></url>
<url><loc>https://scifaro.com/en/abs/robust-online-multi-task-learning-with-correlative-and-personalized-structures-1706.01824</loc><lastmod>2017-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-online-multi-task-learning-with-correlative-and-personalized-structures-1706.01824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-online-multi-task-learning-with-correlative-and-personalized-structures-1706.01824"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-method-toward-drug-target-interaction-prediction-via-low-rank-matrix-projection-1706.01876</loc><lastmod>2018-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-method-toward-drug-target-interaction-prediction-via-low-rank-matrix-projection-1706.01876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-method-toward-drug-target-interaction-prediction-via-low-rank-matrix-projection-1706.01876"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-space-noise-for-exploration-1706.01905</loc><lastmod>2018-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-space-noise-for-exploration-1706.01905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-space-noise-for-exploration-1706.01905"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-generalization-requires-deep-compositional-feature-space-design-1706.01983</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-generalization-requires-deep-compositional-feature-space-design-1706.01983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-generalization-requires-deep-compositional-feature-space-design-1706.01983"/></url>
<url><loc>https://scifaro.com/en/abs/gated-recurrent-neural-tensor-network-1706.02222</loc><lastmod>2017-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gated-recurrent-neural-tensor-network-1706.02222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gated-recurrent-neural-tensor-network-1706.02222"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-reinforcement-learning-via-initial-pure-exploration-1706.02237</loc><lastmod>2017-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-reinforcement-learning-via-initial-pure-exploration-1706.02237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-reinforcement-learning-via-initial-pure-exploration-1706.02237"/></url>
<url><loc>https://scifaro.com/en/abs/comparative-analysis-of-open-source-frameworks-for-machine-learning-with-use-case-in-single-threaded-and-multi-threaded-modes-1706.02248</loc><lastmod>2017-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparative-analysis-of-open-source-frameworks-for-machine-learning-with-use-case-in-single-threaded-and-multi-threaded-modes-1706.02248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparative-analysis-of-open-source-frameworks-for-machine-learning-with-use-case-in-single-threaded-and-multi-threaded-modes-1706.02248"/></url>
<url><loc>https://scifaro.com/en/abs/infovae-information-maximizing-variational-autoencoders-1706.02262</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infovae-information-maximizing-variational-autoencoders-1706.02262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infovae-information-maximizing-variational-autoencoders-1706.02262"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-actor-critic-for-mixed-cooperative-competitive-environments-1706.02275</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-actor-critic-for-mixed-cooperative-competitive-environments-1706.02275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-actor-critic-for-mixed-cooperative-competitive-environments-1706.02275"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-for-resampling-recommendation-systems-1706.02289</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-for-resampling-recommendation-systems-1706.02289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-for-resampling-recommendation-systems-1706.02289"/></url>
<url><loc>https://scifaro.com/en/abs/generative-discriminative-variational-model-for-visual-recognition-1706.02295</loc><lastmod>2017-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-discriminative-variational-model-for-visual-recognition-1706.02295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-discriminative-variational-model-for-visual-recognition-1706.02295"/></url>
<url><loc>https://scifaro.com/en/abs/fast-black-box-variational-inference-through-stochastic-trust-region-optimization-1706.02375</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-black-box-variational-inference-through-stochastic-trust-region-optimization-1706.02375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-black-box-variational-inference-through-stochastic-trust-region-optimization-1706.02375"/></url>
<url><loc>https://scifaro.com/en/abs/training-quantized-nets-a-deeper-understanding-1706.02379</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-quantized-nets-a-deeper-understanding-1706.02379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-quantized-nets-a-deeper-understanding-1706.02379"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-structure-of-bayesian-networks-via-the-bootstrap-1706.02386</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-structure-of-bayesian-networks-via-the-bootstrap-1706.02386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-structure-of-bayesian-networks-via-the-bootstrap-1706.02386"/></url>
<url><loc>https://scifaro.com/en/abs/a-convex-framework-for-fair-regression-1706.02409</loc><lastmod>2017-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convex-framework-for-fair-regression-1706.02409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convex-framework-for-fair-regression-1706.02409"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-value-iteration-networks-life-beyond-lattices-1706.02416</loc><lastmod>2017-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-value-iteration-networks-life-beyond-lattices-1706.02416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-value-iteration-networks-life-beyond-lattices-1706.02416"/></url>
<url><loc>https://scifaro.com/en/abs/luck-is-hard-to-beat-the-difficulty-of-sports-prediction-1706.02447</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/luck-is-hard-to-beat-the-difficulty-of-sports-prediction-1706.02447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/luck-is-hard-to-beat-the-difficulty-of-sports-prediction-1706.02447"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-free-one-pass-learning-1706.02471</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-free-one-pass-learning-1706.02471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-free-one-pass-learning-1706.02471"/></url>
<url><loc>https://scifaro.com/en/abs/unlocking-the-potential-of-simulators-design-with-rl-in-mind-1706.02501</loc><lastmod>2017-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unlocking-the-potential-of-simulators-design-with-rl-in-mind-1706.02501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unlocking-the-potential-of-simulators-design-with-rl-in-mind-1706.02501"/></url>
<url><loc>https://scifaro.com/en/abs/self-normalizing-neural-networks-1706.02515</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-normalizing-neural-networks-1706.02515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-normalizing-neural-networks-1706.02515"/></url>
<url><loc>https://scifaro.com/en/abs/pain-free-random-differential-privacy-with-sensitivity-sampling-1706.02562</loc><lastmod>2017-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pain-free-random-differential-privacy-with-sensitivity-sampling-1706.02562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pain-free-random-differential-privacy-with-sensitivity-sampling-1706.02562"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-with-t-sne-provably-1706.02582</loc><lastmod>2017-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-with-t-sne-provably-1706.02582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-with-t-sne-provably-1706.02582"/></url>
<url><loc>https://scifaro.com/en/abs/decoupling-when-to-update-from-how-to-update-1706.02613</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupling-when-to-update-from-how-to-update-1706.02613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupling-when-to-update-from-how-to-update-1706.02613"/></url>
<url><loc>https://scifaro.com/en/abs/nuclear-discrepancy-for-active-learning-1706.02645</loc><lastmod>2017-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nuclear-discrepancy-for-active-learning-1706.02645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nuclear-discrepancy-for-active-learning-1706.02645"/></url>
<url><loc>https://scifaro.com/en/abs/learning-local-receptive-fields-and-their-weight-sharing-scheme-on-graphs-1706.02684</loc><lastmod>2017-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-local-receptive-fields-and-their-weight-sharing-scheme-on-graphs-1706.02684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-local-receptive-fields-and-their-weight-sharing-scheme-on-graphs-1706.02684"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-the-reliability-of-out-of-distribution-image-detection-in-neural-networks-1706.02690</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-the-reliability-of-out-of-distribution-image-detection-in-neural-networks-1706.02690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-the-reliability-of-out-of-distribution-image-detection-in-neural-networks-1706.02690"/></url>
<url><loc>https://scifaro.com/en/abs/climbing-a-shaky-ladder-better-adaptive-risk-estimation-1706.02733</loc><lastmod>2017-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/climbing-a-shaky-ladder-better-adaptive-risk-estimation-1706.02733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/climbing-a-shaky-ladder-better-adaptive-risk-estimation-1706.02733"/></url>
<url><loc>https://scifaro.com/en/abs/gated-orthogonal-recurrent-units-on-learning-to-forget-1706.02761</loc><lastmod>2017-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gated-orthogonal-recurrent-units-on-learning-to-forget-1706.02761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gated-orthogonal-recurrent-units-on-learning-to-forget-1706.02761"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-kernel-k-means-clustering-with-nystrom-approximation-relative-error-bounds-1706.02803</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-kernel-k-means-clustering-with-nystrom-approximation-relative-error-bounds-1706.02803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-kernel-k-means-clustering-with-nystrom-approximation-relative-error-bounds-1706.02803"/></url>
<url><loc>https://scifaro.com/en/abs/from-bayesian-sparsity-to-gated-recurrent-nets-1706.02815</loc><lastmod>2017-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-bayesian-sparsity-to-gated-recurrent-nets-1706.02815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-bayesian-sparsity-to-gated-recurrent-nets-1706.02815"/></url>
<url><loc>https://scifaro.com/en/abs/a-maximum-matching-algorithm-for-basis-selection-in-spectral-learning-1706.02857</loc><lastmod>2017-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-maximum-matching-algorithm-for-basis-selection-in-spectral-learning-1706.02857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-maximum-matching-algorithm-for-basis-selection-in-spectral-learning-1706.02857"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-consensus-admm-for-distributed-optimization-1706.02869</loc><lastmod>2017-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-consensus-admm-for-distributed-optimization-1706.02869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-consensus-admm-for-distributed-optimization-1706.02869"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-types-of-convolution-in-deep-convolutional-recurrent-neural-networks-for-robust-speech-emotion-recognition-1706.02901</loc><lastmod>2018-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-types-of-convolution-in-deep-convolutional-recurrent-neural-networks-for-robust-speech-emotion-recognition-1706.02901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-types-of-convolution-in-deep-convolutional-recurrent-neural-networks-for-robust-speech-emotion-recognition-1706.02901"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-musical-key-estimation-using-a-convolutional-neural-network-1706.02921</loc><lastmod>2017-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-musical-key-estimation-using-a-convolutional-neural-network-1706.02921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-musical-key-estimation-using-a-convolutional-neural-network-1706.02921"/></url>
<url><loc>https://scifaro.com/en/abs/k-means-an-enhancement-over-k-means-clustering-algorithm-1706.02949</loc><lastmod>2017-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-means-an-enhancement-over-k-means-clustering-algorithm-1706.02949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-means-an-enhancement-over-k-means-clustering-algorithm-1706.02949"/></url>
<url><loc>https://scifaro.com/en/abs/toeplitz-inverse-covariance-based-clustering-of-multivariate-time-series-data-1706.03161</loc><lastmod>2018-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toeplitz-inverse-covariance-based-clustering-of-multivariate-time-series-data-1706.03161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toeplitz-inverse-covariance-based-clustering-of-multivariate-time-series-data-1706.03161"/></url>
<url><loc>https://scifaro.com/en/abs/recovery-guarantees-for-one-hidden-layer-neural-networks-1706.03175</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovery-guarantees-for-one-hidden-layer-neural-networks-1706.03175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovery-guarantees-for-one-hidden-layer-neural-networks-1706.03175"/></url>
<url><loc>https://scifaro.com/en/abs/image-matching-via-loopy-rnn-1706.03190</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/image-matching-via-loopy-rnn-1706.03190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/image-matching-via-loopy-rnn-1706.03190"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-for-neural-machine-translation-post-editing-1706.03196</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-for-neural-machine-translation-post-editing-1706.03196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-for-neural-machine-translation-post-editing-1706.03196"/></url>
<url><loc>https://scifaro.com/en/abs/toward-optimal-run-racing-application-to-deep-learning-calibration-1706.03199</loc><lastmod>2017-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-optimal-run-racing-application-to-deep-learning-calibration-1706.03199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-optimal-run-racing-application-to-deep-learning-calibration-1706.03199"/></url>
<url><loc>https://scifaro.com/en/abs/critical-hyper-parameters-no-random-no-cry-1706.03200</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/critical-hyper-parameters-no-random-no-cry-1706.03200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/critical-hyper-parameters-no-random-no-cry-1706.03200"/></url>
<url><loc>https://scifaro.com/en/abs/progressive-neural-networks-for-transfer-learning-in-emotion-recognition-1706.03256</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progressive-neural-networks-for-transfer-learning-in-emotion-recognition-1706.03256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progressive-neural-networks-for-transfer-learning-in-emotion-recognition-1706.03256"/></url>
<url><loc>https://scifaro.com/en/abs/stepwise-regression-for-unsupervised-learning-1706.03265</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stepwise-regression-for-unsupervised-learning-1706.03265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stepwise-regression-for-unsupervised-learning-1706.03265"/></url>
<url><loc>https://scifaro.com/en/abs/an-online-learning-approach-to-generative-adversarial-networks-1706.03269</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-online-learning-approach-to-generative-adversarial-networks-1706.03269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-online-learning-approach-to-generative-adversarial-networks-1706.03269"/></url>
<url><loc>https://scifaro.com/en/abs/poseidon-an-efficient-communication-architecture-for-distributed-deep-learning-on-gpu-clusters-1706.03292</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poseidon-an-efficient-communication-architecture-for-distributed-deep-learning-on-gpu-clusters-1706.03292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poseidon-an-efficient-communication-architecture-for-distributed-deep-learning-on-gpu-clusters-1706.03292"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-and-rational-functions-1706.03301</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-and-rational-functions-1706.03301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-and-rational-functions-1706.03301"/></url>
<url><loc>https://scifaro.com/en/abs/collect-at-once-use-effectively-making-non-interactive-locally-private-learning-possible-1706.03316</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collect-at-once-use-effectively-making-non-interactive-locally-private-learning-possible-1706.03316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collect-at-once-use-effectively-making-non-interactive-locally-private-learning-possible-1706.03316"/></url>
<url><loc>https://scifaro.com/en/abs/deep-ehr-a-survey-of-recent-advances-in-deep-learning-techniques-for-electronic-health-record-ehr-analysis-1706.03446</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-ehr-a-survey-of-recent-advances-in-deep-learning-techniques-for-electronic-health-record-ehr-analysis-1706.03446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-ehr-a-survey-of-recent-advances-in-deep-learning-techniques-for-electronic-health-record-ehr-analysis-1706.03446"/></url>
<url><loc>https://scifaro.com/en/abs/confident-multiple-choice-learning-1706.03475</loc><lastmod>2017-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confident-multiple-choice-learning-1706.03475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confident-multiple-choice-learning-1706.03475"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-small-samples-with-quality-guarantees-adaptivity-with-one2all-pps-1706.03607</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-small-samples-with-quality-guarantees-adaptivity-with-one2all-pps-1706.03607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-small-samples-with-quality-guarantees-adaptivity-with-one2all-pps-1706.03607"/></url>
<url><loc>https://scifaro.com/en/abs/tackling-over-pruning-in-variational-autoencoders-1706.03643</loc><lastmod>2017-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tackling-over-pruning-in-variational-autoencoders-1706.03643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tackling-over-pruning-in-variational-autoencoders-1706.03643"/></url>
<url><loc>https://scifaro.com/en/abs/certified-defenses-for-data-poisoning-attacks-1706.03691</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certified-defenses-for-data-poisoning-attacks-1706.03691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certified-defenses-for-data-poisoning-attacks-1706.03691"/></url>
<url><loc>https://scifaro.com/en/abs/seven-deep-semi-supervised-verification-networks-1706.03692</loc><lastmod>2017-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seven-deep-semi-supervised-verification-networks-1706.03692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seven-deep-semi-supervised-verification-networks-1706.03692"/></url>
<url><loc>https://scifaro.com/en/abs/channel-recurrent-autoencoding-for-image-modeling-1706.03729</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/channel-recurrent-autoencoding-for-image-modeling-1706.03729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/channel-recurrent-autoencoding-for-image-modeling-1706.03729"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-plant-classification-with-deep-neural-networks-1706.03736</loc><lastmod>2017-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-plant-classification-with-deep-neural-networks-1706.03736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-plant-classification-with-deep-neural-networks-1706.03736"/></url>
<url><loc>https://scifaro.com/en/abs/smoothgrad-removing-noise-by-adding-noise-1706.03825</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothgrad-removing-noise-by-adding-noise-1706.03825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothgrad-removing-noise-by-adding-noise-1706.03825"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-networks-with-top-k-gains-for-session-based-recommendations-1706.03847</loc><lastmod>2018-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-networks-with-top-k-gains-for-session-based-recommendations-1706.03847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-networks-with-top-k-gains-for-session-based-recommendations-1706.03847"/></url>
<url><loc>https://scifaro.com/en/abs/mnl-bandit-a-dynamic-learning-approach-to-assortment-selection-1706.03880</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mnl-bandit-a-dynamic-learning-approach-to-assortment-selection-1706.03880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mnl-bandit-a-dynamic-learning-approach-to-assortment-selection-1706.03880"/></url>
<url><loc>https://scifaro.com/en/abs/a-well-tempered-landscape-for-non-convex-robust-subspace-recovery-1706.03896</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-well-tempered-landscape-for-non-convex-robust-subspace-recovery-1706.03896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-well-tempered-landscape-for-non-convex-robust-subspace-recovery-1706.03896"/></url>
<url><loc>https://scifaro.com/en/abs/exact-learning-from-an-honest-teacher-that-answers-membership-queries-1706.03935</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-learning-from-an-honest-teacher-that-answers-membership-queries-1706.03935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-learning-from-an-honest-teacher-that-answers-membership-queries-1706.03935"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-dual-learning-by-homotopic-initialization-1706.03958</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-dual-learning-by-homotopic-initialization-1706.03958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-dual-learning-by-homotopic-initialization-1706.03958"/></url>
<url><loc>https://scifaro.com/en/abs/getting-deep-recommenders-fit-bloom-embeddings-for-sparse-binary-input-output-networks-1706.03993</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/getting-deep-recommenders-fit-bloom-embeddings-for-sparse-binary-input-output-networks-1706.03993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/getting-deep-recommenders-fit-bloom-embeddings-for-sparse-binary-input-output-networks-1706.03993"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-analysis-of-belief-propagation-for-pairwise-linear-gaussian-models-1706.04074</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-analysis-of-belief-propagation-for-pairwise-linear-gaussian-models-1706.04074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-analysis-of-belief-propagation-for-pairwise-linear-gaussian-models-1706.04074"/></url>
<url><loc>https://scifaro.com/en/abs/provable-alternating-gradient-descent-for-non-negative-matrix-factorization-with-strong-correlations-1706.04097</loc><lastmod>2017-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-alternating-gradient-descent-for-non-negative-matrix-factorization-with-strong-correlations-1706.04097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-alternating-gradient-descent-for-non-negative-matrix-factorization-with-strong-correlations-1706.04097"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-for-structured-loss-spaces-1706.04125</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-for-structured-loss-spaces-1706.04125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-for-structured-loss-spaces-1706.04125"/></url>
<url><loc>https://scifaro.com/en/abs/personalizing-session-based-recommendations-with-hierarchical-recurrent-neural-networks-1706.04148</loc><lastmod>2017-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalizing-session-based-recommendations-with-hierarchical-recurrent-neural-networks-1706.04148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalizing-session-based-recommendations-with-hierarchical-recurrent-neural-networks-1706.04148"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-gan-optimization-is-locally-stable-1706.04156</loc><lastmod>2018-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-gan-optimization-is-locally-stable-1706.04156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-gan-optimization-is-locally-stable-1706.04156"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-reward-architecture-for-reinforcement-learning-1706.04208</loc><lastmod>2017-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-reward-architecture-for-reinforcement-learning-1706.04208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-reward-architecture-for-reinforcement-learning-1706.04208"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-regularized-autoencoders-1706.04223</loc><lastmod>2018-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-regularized-autoencoders-1706.04223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-regularized-autoencoders-1706.04223"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-entropy-based-feedback-improves-performance-in-artificial-neural-networks-1706.04265</loc><lastmod>2017-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-entropy-based-feedback-improves-performance-in-artificial-neural-networks-1706.04265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-entropy-based-feedback-improves-performance-in-artificial-neural-networks-1706.04265"/></url>
<url><loc>https://scifaro.com/en/abs/dueling-bandits-with-weak-regret-1706.04304</loc><lastmod>2017-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dueling-bandits-with-weak-regret-1706.04304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dueling-bandits-with-weak-regret-1706.04304"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-dimensionality-reduction-techniques-based-on-random-projection-1706.04371</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-dimensionality-reduction-techniques-based-on-random-projection-1706.04371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-dimensionality-reduction-techniques-based-on-random-projection-1706.04371"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-analysis-of-the-hessian-of-over-parametrized-neural-networks-1706.04454</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-analysis-of-the-hessian-of-over-parametrized-neural-networks-1706.04454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-analysis-of-the-hessian-of-over-parametrized-neural-networks-1706.04454"/></url>
<url><loc>https://scifaro.com/en/abs/searnn-training-rnns-with-global-local-losses-1706.04499</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/searnn-training-rnns-with-global-local-losses-1706.04499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/searnn-training-rnns-with-global-local-losses-1706.04499"/></url>
<url><loc>https://scifaro.com/en/abs/on-calibration-of-modern-neural-networks-1706.04599</loc><lastmod>2017-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-calibration-of-modern-neural-networks-1706.04599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-calibration-of-modern-neural-networks-1706.04599"/></url>
<url><loc>https://scifaro.com/en/abs/provable-benefits-of-representation-learning-1706.04601</loc><lastmod>2017-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-benefits-of-representation-learning-1706.04601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-benefits-of-representation-learning-1706.04601"/></url>
<url><loc>https://scifaro.com/en/abs/information-potential-auto-encoders-1706.04635</loc><lastmod>2017-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-potential-auto-encoders-1706.04635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-potential-auto-encoders-1706.04635"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-backpropagation-1706.04638</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-backpropagation-1706.04638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-backpropagation-1706.04638"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-learning-of-undirected-graphical-models-using-collective-graphical-models-1706.04646</loc><lastmod>2017-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-learning-of-undirected-graphical-models-using-collective-graphical-models-1706.04646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-learning-of-undirected-graphical-models-using-collective-graphical-models-1706.04646"/></url>
<url><loc>https://scifaro.com/en/abs/a-practical-method-for-solving-contextual-bandit-problems-using-decision-trees-1706.04687</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-practical-method-for-solving-contextual-bandit-problems-using-decision-trees-1706.04687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-practical-method-for-solving-contextual-bandit-problems-using-decision-trees-1706.04687"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-feature-selection-computationally-efficient-online-sparse-linear-regression-under-rip-1706.04690</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-feature-selection-computationally-efficient-online-sparse-linear-regression-under-rip-1706.04690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-feature-selection-computationally-efficient-online-sparse-linear-regression-under-rip-1706.04690"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-example-defenses-ensembles-of-weak-defenses-are-not-strong-1706.04701</loc><lastmod>2017-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-example-defenses-ensembles-of-weak-defenses-are-not-strong-1706.04701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-example-defenses-ensembles-of-weak-defenses-are-not-strong-1706.04701"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-under-model-mismatch-1706.04711</loc><lastmod>2017-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-under-model-mismatch-1706.04711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-under-model-mismatch-1706.04711"/></url>
<url><loc>https://scifaro.com/en/abs/revenue-optimization-with-approximate-bid-predictions-1706.04732</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revenue-optimization-with-approximate-bid-predictions-1706.04732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revenue-optimization-with-approximate-bid-predictions-1706.04732"/></url>
<url><loc>https://scifaro.com/en/abs/sobolev-training-for-neural-networks-1706.04859</loc><lastmod>2017-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sobolev-training-for-neural-networks-1706.04859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sobolev-training-for-neural-networks-1706.04859"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-bandits-optimizing-the-generalized-gini-index-1706.04933</loc><lastmod>2017-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-bandits-optimizing-the-generalized-gini-index-1706.04933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-bandits-optimizing-the-generalized-gini-index-1706.04933"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-resnet-blocks-sequentially-using-boosting-theory-1706.04964</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-resnet-blocks-sequentially-using-boosting-theory-1706.04964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-resnet-blocks-sequentially-using-boosting-theory-1706.04964"/></url>
<url><loc>https://scifaro.com/en/abs/device-placement-optimization-with-reinforcement-learning-1706.04972</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/device-placement-optimization-with-reinforcement-learning-1706.04972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/device-placement-optimization-with-reinforcement-learning-1706.04972"/></url>
<url><loc>https://scifaro.com/en/abs/consensus-based-transfer-linear-support-vector-machines-for-decentralized-multi-task-multi-agent-learning-1706.05039</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consensus-based-transfer-linear-support-vector-machines-for-decentralized-multi-task-multi-agent-learning-1706.05039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consensus-based-transfer-linear-support-vector-machines-for-decentralized-multi-task-multi-agent-learning-1706.05039"/></url>
<url><loc>https://scifaro.com/en/abs/human-like-clustering-with-deep-convolutional-neural-networks-1706.05048</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-like-clustering-with-deep-convolutional-neural-networks-1706.05048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-like-clustering-with-deep-convolutional-neural-networks-1706.05048"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-for-adaptively-chosen-estimators-via-stable-median-1706.05069</loc><lastmod>2017-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-for-adaptively-chosen-estimators-via-stable-median-1706.05069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-for-adaptively-chosen-estimators-via-stable-median-1706.05069"/></url>
<url><loc>https://scifaro.com/en/abs/learning-disjunctions-of-predicates-1706.05070</loc><lastmod>2017-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-disjunctions-of-predicates-1706.05070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-disjunctions-of-predicates-1706.05070"/></url>
<url><loc>https://scifaro.com/en/abs/an-overview-of-multi-task-learning-in-deep-neural-networks-1706.05098</loc><lastmod>2017-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-overview-of-multi-task-learning-in-deep-neural-networks-1706.05098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-overview-of-multi-task-learning-in-deep-neural-networks-1706.05098"/></url>
<url><loc>https://scifaro.com/en/abs/deriving-compact-laws-based-on-algebraic-formulation-of-a-data-set-1706.05123</loc><lastmod>2017-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deriving-compact-laws-based-on-algebraic-formulation-of-a-data-set-1706.05123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deriving-compact-laws-based-on-algebraic-formulation-of-a-data-set-1706.05123"/></url>
<url><loc>https://scifaro.com/en/abs/one-model-to-learn-them-all-1706.05137</loc><lastmod>2017-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-model-to-learn-them-all-1706.05137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-model-to-learn-them-all-1706.05137"/></url>
<url><loc>https://scifaro.com/en/abs/hidden-talents-of-the-variational-autoencoder-1706.05148</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hidden-talents-of-the-variational-autoencoder-1706.05148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hidden-talents-of-the-variational-autoencoder-1706.05148"/></url>
<url><loc>https://scifaro.com/en/abs/structured-best-arm-identification-with-fixed-confidence-1706.05198</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-best-arm-identification-with-fixed-confidence-1706.05198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-best-arm-identification-with-fixed-confidence-1706.05198"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-feature-evolvable-streams-1706.05259</loc><lastmod>2018-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-feature-evolvable-streams-1706.05259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-feature-evolvable-streams-1706.05259"/></url>
<url><loc>https://scifaro.com/en/abs/l2-regularization-versus-batch-and-weight-normalization-1706.05350</loc><lastmod>2017-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l2-regularization-versus-batch-and-weight-normalization-1706.05350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l2-regularization-versus-batch-and-weight-normalization-1706.05350"/></url>
<url><loc>https://scifaro.com/en/abs/local-feature-descriptor-learning-with-adaptive-siamese-network-1706.05358</loc><lastmod>2017-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-feature-descriptor-learning-with-adaptive-siamese-network-1706.05358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-feature-descriptor-learning-with-adaptive-siamese-network-1706.05358"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-conditional-generative-adverserial-networks-1706.05477</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-conditional-generative-adverserial-networks-1706.05477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-conditional-generative-adverserial-networks-1706.05477"/></url>
<url><loc>https://scifaro.com/en/abs/variants-of-rmsprop-and-adagrad-with-logarithmic-regret-bounds-1706.05507</loc><lastmod>2017-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variants-of-rmsprop-and-adagrad-with-logarithmic-regret-bounds-1706.05507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variants-of-rmsprop-and-adagrad-with-logarithmic-regret-bounds-1706.05507"/></url>
<url><loc>https://scifaro.com/en/abs/coresets-for-vector-summarization-with-applications-to-network-graphs-1706.05554</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coresets-for-vector-summarization-with-applications-to-network-graphs-1706.05554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coresets-for-vector-summarization-with-applications-to-network-graphs-1706.05554"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-optimization-landscape-of-tensor-decompositions-1706.05598</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-optimization-landscape-of-tensor-decompositions-1706.05598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-optimization-landscape-of-tensor-decompositions-1706.05598"/></url>
<url><loc>https://scifaro.com/en/abs/sample-computation-vs-storage-tradeoffs-for-classification-using-tensor-subspace-models-1706.05599</loc><lastmod>2017-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-computation-vs-storage-tradeoffs-for-classification-using-tensor-subspace-models-1706.05599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-computation-vs-storage-tradeoffs-for-classification-using-tensor-subspace-models-1706.05599"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-polymatrix-games-in-polynomial-time-and-sample-complexity-1706.05648</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-polymatrix-games-in-polynomial-time-and-sample-complexity-1706.05648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-polymatrix-games-in-polynomial-time-and-sample-complexity-1706.05648"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-neural-networks-topologies-1706.05683</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-neural-networks-topologies-1706.05683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-neural-networks-topologies-1706.05683"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-diversity-a-key-ingredient-for-scalable-distributed-learning-1706.05699</loc><lastmod>2018-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-diversity-a-key-ingredient-for-scalable-distributed-learning-1706.05699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-diversity-a-key-ingredient-for-scalable-distributed-learning-1706.05699"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hierarchical-information-flow-with-recurrent-neural-modules-1706.05744</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hierarchical-information-flow-with-recurrent-neural-modules-1706.05744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hierarchical-information-flow-with-recurrent-neural-modules-1706.05744"/></url>
<url><loc>https://scifaro.com/en/abs/dipole-diagnosis-prediction-in-healthcare-via-attention-based-bidirectional-recurrent-neural-networks-1706.05764</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dipole-diagnosis-prediction-in-healthcare-via-attention-based-bidirectional-recurrent-neural-networks-1706.05764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dipole-diagnosis-prediction-in-healthcare-via-attention-based-bidirectional-recurrent-neural-networks-1706.05764"/></url>
<url><loc>https://scifaro.com/en/abs/modified-frank-wolfe-algorithm-for-enhanced-sparsity-in-support-vector-machine-classifiers-1706.05928</loc><lastmod>2018-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modified-frank-wolfe-algorithm-for-enhanced-sparsity-in-support-vector-machine-classifiers-1706.05928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modified-frank-wolfe-algorithm-for-enhanced-sparsity-in-support-vector-machine-classifiers-1706.05928"/></url>
<url><loc>https://scifaro.com/en/abs/deep-counterfactual-networks-with-propensity-dropout-1706.05966</loc><lastmod>2017-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-counterfactual-networks-with-propensity-dropout-1706.05966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-counterfactual-networks-with-propensity-dropout-1706.05966"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-is-semidefinitely-not-that-hard-nonnegative-sdp-for-manifold-disentangling-1706.06028</loc><lastmod>2018-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-is-semidefinitely-not-that-hard-nonnegative-sdp-for-manifold-disentangling-1706.06028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-is-semidefinitely-not-that-hard-nonnegative-sdp-for-manifold-disentangling-1706.06028"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-annotation-aggregation-in-crowdsourcing-1706.06120</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-annotation-aggregation-in-crowdsourcing-1706.06120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-annotation-aggregation-in-crowdsourcing-1706.06120"/></url>
<url><loc>https://scifaro.com/en/abs/vain-attentional-multi-agent-predictive-modeling-1706.06122</loc><lastmod>2018-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vain-attentional-multi-agent-predictive-modeling-1706.06122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vain-attentional-multi-agent-predictive-modeling-1706.06122"/></url>
<url><loc>https://scifaro.com/en/abs/meprop-sparsified-back-propagation-for-accelerated-deep-learning-with-reduced-overfitting-1706.06197</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meprop-sparsified-back-propagation-for-accelerated-deep-learning-with-reduced-overfitting-1706.06197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meprop-sparsified-back-propagation-for-accelerated-deep-learning-with-reduced-overfitting-1706.06197"/></url>
<url><loc>https://scifaro.com/en/abs/dualing-gans-1706.06216</loc><lastmod>2017-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dualing-gans-1706.06216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dualing-gans-1706.06216"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graphical-models-using-multiplicative-weights-1706.06274</loc><lastmod>2017-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graphical-models-using-multiplicative-weights-1706.06274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graphical-models-using-multiplicative-weights-1706.06274"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-forecasting-of-passenger-demand-under-on-demand-ride-services-a-spatio-temporal-deep-learning-approach-1706.06279</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-forecasting-of-passenger-demand-under-on-demand-ride-services-a-spatio-temporal-deep-learning-approach-1706.06279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-forecasting-of-passenger-demand-under-on-demand-ride-services-a-spatio-temporal-deep-learning-approach-1706.06279"/></url>
<url><loc>https://scifaro.com/en/abs/frank-wolfe-optimization-for-symmetric-nmf-under-simplicial-constraint-1706.06348</loc><lastmod>2018-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frank-wolfe-optimization-for-symmetric-nmf-under-simplicial-constraint-1706.06348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frank-wolfe-optimization-for-symmetric-nmf-under-simplicial-constraint-1706.06348"/></url>
<url><loc>https://scifaro.com/en/abs/on-pairwise-clustering-with-side-information-1706.06474</loc><lastmod>2017-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-pairwise-clustering-with-side-information-1706.06474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-pairwise-clustering-with-side-information-1706.06474"/></url>
<url><loc>https://scifaro.com/en/abs/a-divergence-bound-for-hybrids-of-mcmc-and-variational-inference-and-an-application-to-langevin-dynamics-and-sgvi-1706.06529</loc><lastmod>2017-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-divergence-bound-for-hybrids-of-mcmc-and-variational-inference-and-an-application-to-langevin-dynamics-and-sgvi-1706.06529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-divergence-bound-for-hybrids-of-mcmc-and-variational-inference-and-an-application-to-langevin-dynamics-and-sgvi-1706.06529"/></url>
<url><loc>https://scifaro.com/en/abs/inference-in-deep-networks-in-high-dimensions-1706.06549</loc><lastmod>2017-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-in-deep-networks-in-high-dimensions-1706.06549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-in-deep-networks-in-high-dimensions-1706.06549"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-approach-to-adaptive-regularization-in-online-and-stochastic-optimization-1706.06569</loc><lastmod>2017-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-approach-to-adaptive-regularization-in-online-and-stochastic-optimization-1706.06569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-approach-to-adaptive-regularization-in-online-and-stochastic-optimization-1706.06569"/></url>
<url><loc>https://scifaro.com/en/abs/observational-learning-by-reinforcement-learning-1706.06617</loc><lastmod>2017-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/observational-learning-by-reinforcement-learning-1706.06617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/observational-learning-by-reinforcement-learning-1706.06617"/></url>
<url><loc>https://scifaro.com/en/abs/crowdsourcing-with-sparsely-interacting-workers-1706.06660</loc><lastmod>2017-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crowdsourcing-with-sparsely-interacting-workers-1706.06660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crowdsourcing-with-sparsely-interacting-workers-1706.06660"/></url>
<url><loc>https://scifaro.com/en/abs/npglm-a-non-parametric-method-for-temporal-link-prediction-1706.06783</loc><lastmod>2017-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/npglm-a-non-parametric-method-for-temporal-link-prediction-1706.06783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/npglm-a-non-parametric-method-for-temporal-link-prediction-1706.06783"/></url>
<url><loc>https://scifaro.com/en/abs/a-giant-with-feet-of-clay-on-the-validity-of-the-data-that-feed-machine-learning-in-medicine-1706.06838</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-giant-with-feet-of-clay-on-the-validity-of-the-data-that-feed-machine-learning-in-medicine-1706.06838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-giant-with-feet-of-clay-on-the-validity-of-the-data-that-feed-machine-learning-in-medicine-1706.06838"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-dropout-learning-regarded-as-ensemble-learning-1706.06859</loc><lastmod>2017-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-dropout-learning-regarded-as-ensemble-learning-1706.06859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-dropout-learning-regarded-as-ensemble-learning-1706.06859"/></url>
<url><loc>https://scifaro.com/en/abs/mec-memory-efficient-convolution-for-deep-neural-network-1706.06873</loc><lastmod>2017-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mec-memory-efficient-convolution-for-deep-neural-network-1706.06873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mec-memory-efficient-convolution-for-deep-neural-network-1706.06873"/></url>
<url><loc>https://scifaro.com/en/abs/exact-learning-of-juntas-from-membership-queries-1706.06934</loc><lastmod>2017-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-learning-of-juntas-from-membership-queries-1706.06934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-learning-of-juntas-from-membership-queries-1706.06934"/></url>
<url><loc>https://scifaro.com/en/abs/concept-drift-and-anomaly-detection-in-graph-streams-1706.06941</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-drift-and-anomaly-detection-in-graph-streams-1706.06941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-drift-and-anomaly-detection-in-graph-streams-1706.06941"/></url>
<url><loc>https://scifaro.com/en/abs/the-theory-is-predictive-but-is-it-complete-an-application-to-human-perception-of-randomness-1706.06974</loc><lastmod>2017-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-theory-is-predictive-but-is-it-complete-an-application-to-human-perception-of-randomness-1706.06974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-theory-is-predictive-but-is-it-complete-an-application-to-human-perception-of-randomness-1706.06974"/></url>
<url><loc>https://scifaro.com/en/abs/generating-long-term-trajectories-using-deep-hierarchical-networks-1706.07138</loc><lastmod>2017-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-long-term-trajectories-using-deep-hierarchical-networks-1706.07138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-long-term-trajectories-using-deep-hierarchical-networks-1706.07138"/></url>
<url><loc>https://scifaro.com/en/abs/a-useful-motif-for-flexible-task-learning-in-an-embodied-two-dimensional-visual-environment-1706.07147</loc><lastmod>2017-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-useful-motif-for-flexible-task-learning-in-an-embodied-two-dimensional-visual-environment-1706.07147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-useful-motif-for-flexible-task-learning-in-an-embodied-two-dimensional-visual-environment-1706.07147"/></url>
<url><loc>https://scifaro.com/en/abs/curvature-aware-manifold-learning-1706.07167</loc><lastmod>2017-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curvature-aware-manifold-learning-1706.07167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curvature-aware-manifold-learning-1706.07167"/></url>
<url><loc>https://scifaro.com/en/abs/gated-attention-architectures-for-task-oriented-language-grounding-1706.07230</loc><lastmod>2018-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gated-attention-architectures-for-task-oriented-language-grounding-1706.07230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gated-attention-architectures-for-task-oriented-language-grounding-1706.07230"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-approximate-solutions-to-mutual-information-based-global-feature-selection-1706.07535</loc><lastmod>2017-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-approximate-solutions-to-mutual-information-based-global-feature-selection-1706.07535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-approximate-solutions-to-mutual-information-based-global-feature-selection-1706.07535"/></url>
<url><loc>https://scifaro.com/en/abs/how-much-data-is-enough-a-statistical-approach-with-case-study-on-longitudinal-driving-behavior-1706.07637</loc><lastmod>2017-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-much-data-is-enough-a-statistical-approach-with-case-study-on-longitudinal-driving-behavior-1706.07637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-much-data-is-enough-a-statistical-approach-with-case-study-on-longitudinal-driving-behavior-1706.07637"/></url>
<url><loc>https://scifaro.com/en/abs/eco-amlp-a-decision-support-system-using-an-enhanced-class-outlier-with-automatic-multilayer-perceptron-for-diabetes-prediction-1706.07679</loc><lastmod>2017-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eco-amlp-a-decision-support-system-using-an-enhanced-class-outlier-with-automatic-multilayer-perceptron-for-diabetes-prediction-1706.07679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eco-amlp-a-decision-support-system-using-an-enhanced-class-outlier-with-automatic-multilayer-perceptron-for-diabetes-prediction-1706.07679"/></url>
<url><loc>https://scifaro.com/en/abs/preserving-intermediate-objectives-one-simple-trick-to-improve-learning-for-hierarchical-models-1706.07867</loc><lastmod>2017-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preserving-intermediate-objectives-one-simple-trick-to-improve-learning-for-hierarchical-models-1706.07867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preserving-intermediate-objectives-one-simple-trick-to-improve-learning-for-hierarchical-models-1706.07867"/></url>
<url><loc>https://scifaro.com/en/abs/on-sampling-strategies-for-neural-network-based-collaborative-filtering-1706.07881</loc><lastmod>2017-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-sampling-strategies-for-neural-network-based-collaborative-filtering-1706.07881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-sampling-strategies-for-neural-network-based-collaborative-filtering-1706.07881"/></url>
<url><loc>https://scifaro.com/en/abs/reservoir-computing-on-the-hypersphere-1706.07896</loc><lastmod>2017-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reservoir-computing-on-the-hypersphere-1706.07896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reservoir-computing-on-the-hypersphere-1706.07896"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-text-categorization-using-recursive-k-means-clustering-1706.07913</loc><lastmod>2017-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-text-categorization-using-recursive-k-means-clustering-1706.07913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-text-categorization-using-recursive-k-means-clustering-1706.07913"/></url>
<url><loc>https://scifaro.com/en/abs/methods-for-interpreting-and-understanding-deep-neural-networks-1706.07979</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/methods-for-interpreting-and-understanding-deep-neural-networks-1706.07979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/methods-for-interpreting-and-understanding-deep-neural-networks-1706.07979"/></url>
<url><loc>https://scifaro.com/en/abs/compressed-factorization-fast-and-accurate-low-rank-factorization-of-compressively-sensed-data-1706.08146</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressed-factorization-fast-and-accurate-low-rank-factorization-of-compressively-sensed-data-1706.08146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressed-factorization-fast-and-accurate-low-rank-factorization-of-compressively-sensed-data-1706.08146"/></url>
<url><loc>https://scifaro.com/en/abs/do-gans-actually-learn-the-distribution-an-empirical-study-1706.08224</loc><lastmod>2017-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-gans-actually-learn-the-distribution-an-empirical-study-1706.08224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-gans-actually-learn-the-distribution-an-empirical-study-1706.08224"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-learning-with-label-enhancement-1706.08323</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-learning-with-label-enhancement-1706.08323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-learning-with-label-enhancement-1706.08323"/></url>
<url><loc>https://scifaro.com/en/abs/a-meta-learning-approach-to-one-step-active-learning-1706.08334</loc><lastmod>2017-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-meta-learning-approach-to-one-step-active-learning-1706.08334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-meta-learning-approach-to-one-step-active-learning-1706.08334"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-steepest-coordinate-descent-1706.08427</loc><lastmod>2017-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-steepest-coordinate-descent-1706.08427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-steepest-coordinate-descent-1706.08427"/></url>
<url><loc>https://scifaro.com/en/abs/spectrally-normalized-margin-bounds-for-neural-networks-1706.08498</loc><lastmod>2017-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectrally-normalized-margin-bounds-for-neural-networks-1706.08498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectrally-normalized-margin-bounds-for-neural-networks-1706.08498"/></url>
<url><loc>https://scifaro.com/en/abs/gans-trained-by-a-two-time-scale-update-rule-converge-to-a-local-nash-equilibrium-1706.08500</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gans-trained-by-a-two-time-scale-update-rule-converge-to-a-local-nash-equilibrium-1706.08500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gans-trained-by-a-two-time-scale-update-rule-converge-to-a-local-nash-equilibrium-1706.08500"/></url>
<url><loc>https://scifaro.com/en/abs/learning-local-feature-aggregation-functions-with-backpropagation-1706.08580</loc><lastmod>2017-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-local-feature-aggregation-functions-with-backpropagation-1706.08580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-local-feature-aggregation-functions-with-backpropagation-1706.08580"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-robust-tensor-decomposition-with-applications-to-dictionary-learning-1706.08672</loc><lastmod>2017-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-robust-tensor-decomposition-with-applications-to-dictionary-learning-1706.08672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-robust-tensor-decomposition-with-applications-to-dictionary-learning-1706.08672"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-and-granger-modelling-with-non-linear-dynamical-dependencies-1706.08811</loc><lastmod>2017-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-and-granger-modelling-with-non-linear-dynamical-dependencies-1706.08811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-and-granger-modelling-with-non-linear-dynamical-dependencies-1706.08811"/></url>
<url><loc>https://scifaro.com/en/abs/timenet-pre-trained-deep-recurrent-neural-network-for-time-series-classification-1706.08838</loc><lastmod>2017-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/timenet-pre-trained-deep-recurrent-neural-network-for-time-series-classification-1706.08838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/timenet-pre-trained-deep-recurrent-neural-network-for-time-series-classification-1706.08838"/></url>
<url><loc>https://scifaro.com/en/abs/preserving-differential-privacy-in-convolutional-deep-belief-networks-1706.08839</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preserving-differential-privacy-in-convolutional-deep-belief-networks-1706.08839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preserving-differential-privacy-in-convolutional-deep-belief-networks-1706.08839"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-episodic-memory-for-continual-learning-1706.08840</loc><lastmod>2022-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-episodic-memory-for-continual-learning-1706.08840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-episodic-memory-for-continual-learning-1706.08840"/></url>
<url><loc>https://scifaro.com/en/abs/reexamining-low-rank-matrix-factorization-for-trace-norm-regularization-1706.08934</loc><lastmod>2017-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reexamining-low-rank-matrix-factorization-for-trace-norm-regularization-1706.08934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reexamining-low-rank-matrix-factorization-for-trace-norm-regularization-1706.08934"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-generalization-in-deep-learning-1706.08947</loc><lastmod>2017-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-generalization-in-deep-learning-1706.08947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-generalization-in-deep-learning-1706.08947"/></url>
<url><loc>https://scifaro.com/en/abs/the-k-means-u-algorithm-non-local-jumps-and-greedy-retries-improve-k-means-clustering-1706.09059</loc><lastmod>2017-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-k-means-u-algorithm-non-local-jumps-and-greedy-retries-improve-k-means-clustering-1706.09059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-k-means-u-algorithm-non-local-jumps-and-greedy-retries-improve-k-means-clustering-1706.09059"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-bandit-models-for-delayed-conversions-1706.09186</loc><lastmod>2017-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-bandit-models-for-delayed-conversions-1706.09186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-bandit-models-for-delayed-conversions-1706.09186"/></url>
<url><loc>https://scifaro.com/en/abs/the-difference-between-memory-and-prediction-in-linear-recurrent-networks-1706.09382</loc><lastmod>2017-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-difference-between-memory-and-prediction-in-linear-recurrent-networks-1706.09382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-difference-between-memory-and-prediction-in-linear-recurrent-networks-1706.09382"/></url>
<url><loc>https://scifaro.com/en/abs/catboost-unbiased-boosting-with-categorical-features-1706.09516</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/catboost-unbiased-boosting-with-categorical-features-1706.09516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/catboost-unbiased-boosting-with-categorical-features-1706.09516"/></url>
<url><loc>https://scifaro.com/en/abs/neural-slam-learning-to-explore-with-external-memory-1706.09520</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-slam-learning-to-explore-with-external-memory-1706.09520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-slam-learning-to-explore-with-external-memory-1706.09520"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-learn-meta-critic-networks-for-sample-efficient-learning-1706.09529</loc><lastmod>2017-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-learn-meta-critic-networks-for-sample-efficient-learning-1706.09529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-learn-meta-critic-networks-for-sample-efficient-learning-1706.09529"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-adversarial-networks-1706.09549</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-adversarial-networks-1706.09549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-adversarial-networks-1706.09549"/></url>
<url><loc>https://scifaro.com/en/abs/online-convolutional-dictionary-learning-1706.09563</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-convolutional-dictionary-learning-1706.09563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-convolutional-dictionary-learning-1706.09563"/></url>
<url><loc>https://scifaro.com/en/abs/online-reweighted-least-squares-algorithm-for-sparse-recovery-and-application-to-short-wave-infrared-imaging-1706.09585</loc><lastmod>2017-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-reweighted-least-squares-algorithm-for-sparse-recovery-and-application-to-short-wave-infrared-imaging-1706.09585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-reweighted-least-squares-algorithm-for-sparse-recovery-and-application-to-short-wave-infrared-imaging-1706.09585"/></url>
<url><loc>https://scifaro.com/en/abs/interpretability-via-model-extraction-1706.09773</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretability-via-model-extraction-1706.09773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretability-via-model-extraction-1706.09773"/></url>
<url><loc>https://scifaro.com/en/abs/data-dependent-generalization-bounds-for-multi-class-classification-1706.09814</loc><lastmod>2018-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-dependent-generalization-bounds-for-multi-class-classification-1706.09814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-dependent-generalization-bounds-for-multi-class-classification-1706.09814"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-limitations-of-first-order-approximation-in-gan-dynamics-1706.09884</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-limitations-of-first-order-approximation-in-gan-dynamics-1706.09884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-limitations-of-first-order-approximation-in-gan-dynamics-1706.09884"/></url>
<url><loc>https://scifaro.com/en/abs/graph-convolution-a-high-order-and-adaptive-approach-1706.09916</loc><lastmod>2017-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-convolution-a-high-order-and-adaptive-approach-1706.09916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-convolution-a-high-order-and-adaptive-approach-1706.09916"/></url>
<url><loc>https://scifaro.com/en/abs/improvement-of-training-set-structure-in-fusion-data-cleaning-using-time-domain-global-similarity-method-1706.10018</loc><lastmod>2017-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improvement-of-training-set-structure-in-fusion-data-cleaning-using-time-domain-global-similarity-method-1706.10018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improvement-of-training-set-structure-in-fusion-data-cleaning-using-time-domain-global-similarity-method-1706.10018"/></url>
<url><loc>https://scifaro.com/en/abs/preference-based-performance-measures-for-time-domain-global-similarity-method-1706.10020</loc><lastmod>2018-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preference-based-performance-measures-for-time-domain-global-similarity-method-1706.10020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preference-based-performance-measures-for-time-domain-global-similarity-method-1706.10020"/></url>
<url><loc>https://scifaro.com/en/abs/rule-mining-based-classification-a-benchmark-study-1706.10199</loc><lastmod>2017-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rule-mining-based-classification-a-benchmark-study-1706.10199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rule-mining-based-classification-a-benchmark-study-1706.10199"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-generalization-of-deep-learning-perspective-of-loss-landscapes-1706.10239</loc><lastmod>2017-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-generalization-of-deep-learning-perspective-of-loss-landscapes-1706.10239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-generalization-of-deep-learning-perspective-of-loss-landscapes-1706.10239"/></url>
<url><loc>https://scifaro.com/en/abs/safetynets-verifiable-execution-of-deep-neural-networks-on-an-untrusted-cloud-1706.10268</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safetynets-verifiable-execution-of-deep-neural-networks-on-an-untrusted-cloud-1706.10268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safetynets-verifiable-execution-of-deep-neural-networks-on-an-untrusted-cloud-1706.10268"/></url>
<url><loc>https://scifaro.com/en/abs/lifelong-learning-in-costly-feature-spaces-1706.10271</loc><lastmod>2017-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifelong-learning-in-costly-feature-spaces-1706.10271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifelong-learning-in-costly-feature-spaces-1706.10271"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-networks-for-exploration-1706.10295</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-networks-for-exploration-1706.10295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-networks-for-exploration-1706.10295"/></url>
<url><loc>https://scifaro.com/en/abs/penalizing-unfairness-in-binary-classification-1707.00044</loc><lastmod>2018-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/penalizing-unfairness-in-binary-classification-1707.00044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/penalizing-unfairness-in-binary-classification-1707.00044"/></url>
<url><loc>https://scifaro.com/en/abs/data-decisions-and-theoretical-implications-when-adversarially-learning-fair-representations-1707.00075</loc><lastmod>2017-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-decisions-and-theoretical-implications-when-adversarially-learning-fair-representations-1707.00075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-decisions-and-theoretical-implications-when-adversarially-learning-fair-representations-1707.00075"/></url>
<url><loc>https://scifaro.com/en/abs/fast-approximate-nearest-neighbor-search-with-the-navigating-spreading-out-graph-1707.00143</loc><lastmod>2025-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-approximate-nearest-neighbor-search-with-the-navigating-spreading-out-graph-1707.00143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-approximate-nearest-neighbor-search-with-the-navigating-spreading-out-graph-1707.00143"/></url>
<url><loc>https://scifaro.com/en/abs/teacher-student-curriculum-learning-1707.00183</loc><lastmod>2017-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/teacher-student-curriculum-learning-1707.00183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/teacher-student-curriculum-learning-1707.00183"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-correlated-topic-modeling-with-topic-embedding-1707.00206</loc><lastmod>2017-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-correlated-topic-modeling-with-topic-embedding-1707.00206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-correlated-topic-modeling-with-topic-embedding-1707.00206"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-configuration-networks-ensemble-for-large-scale-data-analytics-1707.00300</loc><lastmod>2017-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-configuration-networks-ensemble-for-large-scale-data-analytics-1707.00300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-configuration-networks-ensemble-for-large-scale-data-analytics-1707.00300"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-reduction-with-missing-values-imputation-1707.00351</loc><lastmod>2017-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-reduction-with-missing-values-imputation-1707.00351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-reduction-with-missing-values-imputation-1707.00351"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-dictionary-learning-acceleration-and-convergence-1707.00389</loc><lastmod>2023-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-dictionary-learning-acceleration-and-convergence-1707.00389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-dictionary-learning-acceleration-and-convergence-1707.00389"/></url>
<url><loc>https://scifaro.com/en/abs/dual-supervised-learning-1707.00415</loc><lastmod>2017-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-supervised-learning-1707.00415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-supervised-learning-1707.00415"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-latent-spaces-for-multi-label-classification-1707.00418</loc><lastmod>2017-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-latent-spaces-for-multi-label-classification-1707.00418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-latent-spaces-for-multi-label-classification-1707.00418"/></url>
<url><loc>https://scifaro.com/en/abs/parle-parallelizing-stochastic-gradient-descent-1707.00424</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parle-parallelizing-stochastic-gradient-descent-1707.00424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parle-parallelizing-stochastic-gradient-descent-1707.00424"/></url>
<url><loc>https://scifaro.com/en/abs/hashing-over-predicted-future-frames-for-informed-exploration-of-deep-reinforcement-learning-1707.00524</loc><lastmod>2018-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hashing-over-predicted-future-frames-for-informed-exploration-of-deep-reinforcement-learning-1707.00524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hashing-over-predicted-future-frames-for-informed-exploration-of-deep-reinforcement-learning-1707.00524"/></url>
<url><loc>https://scifaro.com/en/abs/robust-cost-sensitive-learning-for-recommendation-with-implicit-feedback-1707.00536</loc><lastmod>2017-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-cost-sensitive-learning-for-recommendation-with-implicit-feedback-1707.00536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-cost-sensitive-learning-for-recommendation-with-implicit-feedback-1707.00536"/></url>
<url><loc>https://scifaro.com/en/abs/rank-determination-for-low-rank-data-completion-1707.00622</loc><lastmod>2017-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-determination-for-low-rank-data-completion-1707.00622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-determination-for-low-rank-data-completion-1707.00622"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-efficient-density-estimator-that-enables-fast-systematic-search-1707.00783</loc><lastmod>2017-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-efficient-density-estimator-that-enables-fast-systematic-search-1707.00783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-efficient-density-estimator-that-enables-fast-systematic-search-1707.00783"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-network-initialization-with-decision-trees-1707.00784</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-initialization-with-decision-trees-1707.00784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-initialization-with-decision-trees-1707.00784"/></url>
<url><loc>https://scifaro.com/en/abs/pbodl-parallel-bayesian-online-deep-learning-for-click-through-rate-prediction-in-tencent-advertising-system-1707.00802</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pbodl-parallel-bayesian-online-deep-learning-for-click-through-rate-prediction-in-tencent-advertising-system-1707.00802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pbodl-parallel-bayesian-online-deep-learning-for-click-through-rate-prediction-in-tencent-advertising-system-1707.00802"/></url>
<url><loc>https://scifaro.com/en/abs/the-maximum-cosine-framework-for-deriving-perceptron-based-linear-classifiers-1707.00821</loc><lastmod>2017-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-maximum-cosine-framework-for-deriving-perceptron-based-linear-classifiers-1707.00821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-maximum-cosine-framework-for-deriving-perceptron-based-linear-classifiers-1707.00821"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-generation-of-multi-modal-data-using-constrained-embedding-space-mapping-1707.00860</loc><lastmod>2017-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-generation-of-multi-modal-data-using-constrained-embedding-space-mapping-1707.00860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-generation-of-multi-modal-data-using-constrained-embedding-space-mapping-1707.00860"/></url>
<url><loc>https://scifaro.com/en/abs/robust-optimization-for-non-convex-objectives-1707.01047</loc><lastmod>2017-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-optimization-for-non-convex-objectives-1707.01047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-optimization-for-non-convex-objectives-1707.01047"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-scaling-for-manifold-learning-and-classification-1707.01093</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-scaling-for-manifold-learning-and-classification-1707.01093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-scaling-for-manifold-learning-and-classification-1707.01093"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-distributed-and-federated-optimization-for-machine-learning-1707.01155</loc><lastmod>2017-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-distributed-and-federated-optimization-for-machine-learning-1707.01155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-distributed-and-federated-optimization-for-machine-learning-1707.01155"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-submodular-rank-aggregation-on-score-based-permutations-1707.01166</loc><lastmod>2017-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-submodular-rank-aggregation-on-score-based-permutations-1707.01166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-submodular-rank-aggregation-on-score-based-permutations-1707.01166"/></url>
<url><loc>https://scifaro.com/en/abs/model-compression-as-constrained-optimization-with-application-to-neural-nets-part-i-general-framework-1707.01209</loc><lastmod>2017-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-compression-as-constrained-optimization-with-application-to-neural-nets-part-i-general-framework-1707.01209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-compression-as-constrained-optimization-with-application-to-neural-nets-part-i-general-framework-1707.01209"/></url>
<url><loc>https://scifaro.com/en/abs/learning-geometric-concepts-with-nasty-noise-1707.01242</loc><lastmod>2017-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-geometric-concepts-with-nasty-noise-1707.01242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-geometric-concepts-with-nasty-noise-1707.01242"/></url>
<url><loc>https://scifaro.com/en/abs/automated-experiment-design-for-data-efficient-verification-of-parametric-markov-decision-processes-1707.01322</loc><lastmod>2017-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-experiment-design-for-data-efficient-verification-of-parametric-markov-decision-processes-1707.01322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-experiment-design-for-data-efficient-verification-of-parametric-markov-decision-processes-1707.01322"/></url>
<url><loc>https://scifaro.com/en/abs/shadho-massively-scalable-hardware-aware-distributed-hyperparameter-optimization-1707.01428</loc><lastmod>2018-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shadho-massively-scalable-hardware-aware-distributed-hyperparameter-optimization-1707.01428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shadho-massively-scalable-hardware-aware-distributed-hyperparameter-optimization-1707.01428"/></url>
<url><loc>https://scifaro.com/en/abs/labeled-memory-networks-for-online-model-adaptation-1707.01461</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/labeled-memory-networks-for-online-model-adaptation-1707.01461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/labeled-memory-networks-for-online-model-adaptation-1707.01461"/></url>
<url><loc>https://scifaro.com/en/abs/complex-and-holographic-embeddings-of-knowledge-graphs-a-comparison-1707.01475</loc><lastmod>2017-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complex-and-holographic-embeddings-of-knowledge-graphs-a-comparison-1707.01475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complex-and-holographic-embeddings-of-knowledge-graphs-a-comparison-1707.01475"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-2d-knowledge-graph-embeddings-1707.01476</loc><lastmod>2018-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-2d-knowledge-graph-embeddings-1707.01476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-2d-knowledge-graph-embeddings-1707.01476"/></url>
<url><loc>https://scifaro.com/en/abs/hindsight-experience-replay-1707.01495</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hindsight-experience-replay-1707.01495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hindsight-experience-replay-1707.01495"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-science-approach-to-understanding-residential-water-contamination-in-flint-1707.01591</loc><lastmod>2017-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-science-approach-to-understanding-residential-water-contamination-in-flint-1707.01591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-science-approach-to-understanding-residential-water-contamination-in-flint-1707.01591"/></url>
<url><loc>https://scifaro.com/en/abs/climbing-the-kaggle-leaderboard-by-exploiting-the-log-loss-oracle-1707.01825</loc><lastmod>2017-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/climbing-the-kaggle-leaderboard-by-exploiting-the-log-loss-oracle-1707.01825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/climbing-the-kaggle-leaderboard-by-exploiting-the-log-loss-oracle-1707.01825"/></url>
<url><loc>https://scifaro.com/en/abs/indefinite-kernel-logistic-regression-with-concave-inexact-convex-procedure-1707.01826</loc><lastmod>2020-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/indefinite-kernel-logistic-regression-with-concave-inexact-convex-procedure-1707.01826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/indefinite-kernel-logistic-regression-with-concave-inexact-convex-procedure-1707.01826"/></url>
<url><loc>https://scifaro.com/en/abs/calibrated-fairness-in-bandits-1707.01875</loc><lastmod>2017-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrated-fairness-in-bandits-1707.01875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrated-fairness-in-bandits-1707.01875"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-convolutional-recurrent-neural-network-data-driven-traffic-forecasting-1707.01926</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-convolutional-recurrent-neural-network-data-driven-traffic-forecasting-1707.01926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-convolutional-recurrent-neural-network-data-driven-traffic-forecasting-1707.01926"/></url>
<url><loc>https://scifaro.com/en/abs/high-performance-fpga-implementation-of-equivariant-adaptive-separation-via-independence-algorithm-for-independent-component-analysis-1707.01939</loc><lastmod>2017-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-performance-fpga-implementation-of-equivariant-adaptive-separation-via-independence-algorithm-for-independent-component-analysis-1707.01939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-performance-fpga-implementation-of-equivariant-adaptive-separation-via-independence-algorithm-for-independent-component-analysis-1707.01939"/></url>
<url><loc>https://scifaro.com/en/abs/a-causal-framework-for-explaining-the-predictions-of-black-box-sequence-to-sequence-models-1707.01943</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-causal-framework-for-explaining-the-predictions-of-black-box-sequence-to-sequence-models-1707.01943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-causal-framework-for-explaining-the-predictions-of-black-box-sequence-to-sequence-models-1707.01943"/></url>
<url><loc>https://scifaro.com/en/abs/simple-classification-using-binary-data-1707.01945</loc><lastmod>2017-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-classification-using-binary-data-1707.01945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-classification-using-binary-data-1707.01945"/></url>
<url><loc>https://scifaro.com/en/abs/a-tutorial-on-thompson-sampling-1707.02038</loc><lastmod>2020-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-thompson-sampling-1707.02038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-thompson-sampling-1707.02038"/></url>
<url><loc>https://scifaro.com/en/abs/learning-loss-functions-for-semi-supervised-learning-via-discriminative-adversarial-networks-1707.02198</loc><lastmod>2017-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-loss-functions-for-semi-supervised-learning-via-discriminative-adversarial-networks-1707.02198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-loss-functions-for-semi-supervised-learning-via-discriminative-adversarial-networks-1707.02198"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-models-of-data-streams-with-hierarchical-power-priors-1707.02293</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-models-of-data-streams-with-hierarchical-power-priors-1707.02293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-models-of-data-streams-with-hierarchical-power-priors-1707.02293"/></url>
<url><loc>https://scifaro.com/en/abs/correlational-dueling-bandits-with-application-to-clinical-treatment-in-large-decision-spaces-1707.02375</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlational-dueling-bandits-with-application-to-clinical-treatment-in-large-decision-spaces-1707.02375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlational-dueling-bandits-with-application-to-clinical-treatment-in-large-decision-spaces-1707.02375"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixture-of-gaussians-with-streaming-data-1707.02391</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixture-of-gaussians-with-streaming-data-1707.02391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixture-of-gaussians-with-streaming-data-1707.02391"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-transfer-learning-approaches-in-multimodal-wearable-human-activity-recognition-1707.02412</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-transfer-learning-approaches-in-multimodal-wearable-human-activity-recognition-1707.02412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-transfer-learning-approaches-in-multimodal-wearable-human-activity-recognition-1707.02412"/></url>
<url><loc>https://scifaro.com/en/abs/global-optimality-conditions-for-deep-neural-networks-1707.02444</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-optimality-conditions-for-deep-neural-networks-1707.02444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-optimality-conditions-for-deep-neural-networks-1707.02444"/></url>
<url><loc>https://scifaro.com/en/abs/tailoring-artificial-neural-networks-for-optimal-learning-1707.02469</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tailoring-artificial-neural-networks-for-optimal-learning-1707.02469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tailoring-artificial-neural-networks-for-optimal-learning-1707.02469"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-learning-through-an-information-retrieval-lens-1707.02610</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-learning-through-an-information-retrieval-lens-1707.02610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-learning-through-an-information-retrieval-lens-1707.02610"/></url>
<url><loc>https://scifaro.com/en/abs/composition-properties-of-inferential-privacy-for-time-series-data-1707.02702</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composition-properties-of-inferential-privacy-for-time-series-data-1707.02702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composition-properties-of-inferential-privacy-for-time-series-data-1707.02702"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-variance-reduction-gradient-for-a-non-convex-problem-using-graduated-optimization-1707.02727</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-variance-reduction-gradient-for-a-non-convex-problem-using-graduated-optimization-1707.02727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-variance-reduction-gradient-for-a-non-convex-problem-using-graduated-optimization-1707.02727"/></url>
<url><loc>https://scifaro.com/en/abs/robust-imitation-of-diverse-behaviors-1707.02747</loc><lastmod>2017-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-imitation-of-diverse-behaviors-1707.02747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-imitation-of-diverse-behaviors-1707.02747"/></url>
<url><loc>https://scifaro.com/en/abs/towards-crafting-text-adversarial-samples-1707.02812</loc><lastmod>2017-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-crafting-text-adversarial-samples-1707.02812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-crafting-text-adversarial-samples-1707.02812"/></url>
<url><loc>https://scifaro.com/en/abs/vision-based-multi-task-manipulation-for-inexpensive-robots-using-end-to-end-learning-from-demonstration-1707.02920</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vision-based-multi-task-manipulation-for-inexpensive-robots-using-end-to-end-learning-from-demonstration-1707.02920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vision-based-multi-task-manipulation-for-inexpensive-robots-using-end-to-end-learning-from-demonstration-1707.02920"/></url>
<url><loc>https://scifaro.com/en/abs/tapas-two-pass-approximate-adaptive-sampling-for-softmax-1707.03073</loc><lastmod>2017-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tapas-two-pass-approximate-adaptive-sampling-for-softmax-1707.03073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tapas-two-pass-approximate-adaptive-sampling-for-softmax-1707.03073"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-mixture-model-for-clustering-of-sparse-high-dimensional-binary-data-1707.03157</loc><lastmod>2017-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-mixture-model-for-clustering-of-sparse-high-dimensional-binary-data-1707.03157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-mixture-model-for-clustering-of-sparse-high-dimensional-binary-data-1707.03157"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-variance-reduced-stochastic-admm-1707.03190</loc><lastmod>2017-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-variance-reduced-stochastic-admm-1707.03190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-variance-reduced-stochastic-admm-1707.03190"/></url>
<url><loc>https://scifaro.com/en/abs/deeptrend-a-deep-hierarchical-neural-network-for-traffic-flow-prediction-1707.03213</loc><lastmod>2017-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeptrend-a-deep-hierarchical-neural-network-for-traffic-flow-prediction-1707.03213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeptrend-a-deep-hierarchical-neural-network-for-traffic-flow-prediction-1707.03213"/></url>
<url><loc>https://scifaro.com/en/abs/fast-amortized-inference-and-learning-in-log-linear-models-with-randomly-perturbed-nearest-neighbor-search-1707.03372</loc><lastmod>2017-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-amortized-inference-and-learning-in-log-linear-models-with-randomly-perturbed-nearest-neighbor-search-1707.03372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-amortized-inference-and-learning-in-log-linear-models-with-randomly-perturbed-nearest-neighbor-search-1707.03372"/></url>
<url><loc>https://scifaro.com/en/abs/imitation-from-observation-learning-to-imitate-behaviors-from-raw-video-via-context-translation-1707.03374</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitation-from-observation-learning-to-imitate-behaviors-from-raw-video-via-context-translation-1707.03374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitation-from-observation-learning-to-imitate-behaviors-from-raw-video-via-context-translation-1707.03374"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-using-neighborhood-kernels-1707.03426</loc><lastmod>2017-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-using-neighborhood-kernels-1707.03426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-using-neighborhood-kernels-1707.03426"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-dropout-for-supervised-and-semi-supervised-learning-1707.03631</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-dropout-for-supervised-and-semi-supervised-learning-1707.03631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-dropout-for-supervised-and-semi-supervised-learning-1707.03631"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-approach-for-blind-drift-calibration-of-sensor-networks-1707.03682</loc><lastmod>2017-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-approach-for-blind-drift-calibration-of-sensor-networks-1707.03682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-approach-for-blind-drift-calibration-of-sensor-networks-1707.03682"/></url>
<url><loc>https://scifaro.com/en/abs/reduced-electron-exposure-for-energy-dispersive-spectroscopy-using-dynamic-sampling-1707.03848</loc><lastmod>2017-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reduced-electron-exposure-for-energy-dispersive-spectroscopy-using-dynamic-sampling-1707.03848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reduced-electron-exposure-for-energy-dispersive-spectroscopy-using-dynamic-sampling-1707.03848"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-unseen-from-multiple-populations-1707.03854</loc><lastmod>2017-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-unseen-from-multiple-populations-1707.03854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-unseen-from-multiple-populations-1707.03854"/></url>
<url><loc>https://scifaro.com/en/abs/on-measuring-and-quantifying-performance-error-rates-surrogate-loss-and-an-example-in-ssl-1707.04025</loc><lastmod>2017-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-measuring-and-quantifying-performance-error-rates-surrogate-loss-and-an-example-in-ssl-1707.04025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-measuring-and-quantifying-performance-error-rates-surrogate-loss-and-an-example-in-ssl-1707.04025"/></url>
<url><loc>https://scifaro.com/en/abs/stable-distribution-alignment-using-the-dual-of-the-adversarial-distance-1707.04046</loc><lastmod>2018-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-distribution-alignment-using-the-dual-of-the-adversarial-distance-1707.04046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-distribution-alignment-using-the-dual-of-the-adversarial-distance-1707.04046"/></url>
<url><loc>https://scifaro.com/en/abs/foolbox-a-python-toolbox-to-benchmark-the-robustness-of-machine-learning-models-1707.04131</loc><lastmod>2018-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/foolbox-a-python-toolbox-to-benchmark-the-robustness-of-machine-learning-models-1707.04131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/foolbox-a-python-toolbox-to-benchmark-the-robustness-of-machine-learning-models-1707.04131"/></url>
<url><loc>https://scifaro.com/en/abs/distral-robust-multitask-reinforcement-learning-1707.04175</loc><lastmod>2017-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distral-robust-multitask-reinforcement-learning-1707.04175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distral-robust-multitask-reinforcement-learning-1707.04175"/></url>
<url><loc>https://scifaro.com/en/abs/be-careful-what-you-backpropagate-a-case-for-linear-output-activations-gradient-boosting-1707.04199</loc><lastmod>2017-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/be-careful-what-you-backpropagate-a-case-for-linear-output-activations-gradient-boosting-1707.04199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/be-careful-what-you-backpropagate-a-case-for-linear-output-activations-gradient-boosting-1707.04199"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-abandonment-in-online-coding-tutorials-1707.04291</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-abandonment-in-online-coding-tutorials-1707.04291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-abandonment-in-online-coding-tutorials-1707.04291"/></url>
<url><loc>https://scifaro.com/en/abs/coalescent-based-species-tree-estimation-a-stochastic-farris-transform-1707.04300</loc><lastmod>2017-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coalescent-based-species-tree-estimation-a-stochastic-farris-transform-1707.04300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coalescent-based-species-tree-estimation-a-stochastic-farris-transform-1707.04300"/></url>
<url><loc>https://scifaro.com/en/abs/model-compression-as-constrained-optimization-with-application-to-neural-nets-part-ii-quantization-1707.04319</loc><lastmod>2017-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-compression-as-constrained-optimization-with-application-to-neural-nets-part-ii-quantization-1707.04319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-compression-as-constrained-optimization-with-application-to-neural-nets-part-ii-quantization-1707.04319"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-based-backpropagation-in-neural-networks-with-non-sequential-input-1707.04324</loc><lastmod>2017-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-based-backpropagation-in-neural-networks-with-non-sequential-input-1707.04324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-based-backpropagation-in-neural-networks-with-non-sequential-input-1707.04324"/></url>
<url><loc>https://scifaro.com/en/abs/f-gans-in-an-information-geometric-nutshell-1707.04385</loc><lastmod>2017-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/f-gans-in-an-information-geometric-nutshell-1707.04385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/f-gans-in-an-information-geometric-nutshell-1707.04385"/></url>
<url><loc>https://scifaro.com/en/abs/glsr-vae-geodesic-latent-space-regularization-for-variational-autoencoder-architectures-1707.04588</loc><lastmod>2017-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/glsr-vae-geodesic-latent-space-regularization-for-variational-autoencoder-architectures-1707.04588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/glsr-vae-geodesic-latent-space-regularization-for-variational-autoencoder-architectures-1707.04588"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-complexity-of-learning-neural-networks-1707.04615</loc><lastmod>2017-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-complexity-of-learning-neural-networks-1707.04615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-complexity-of-learning-neural-networks-1707.04615"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-multicellular-function-through-multi-layer-tissue-networks-1707.04638</loc><lastmod>2017-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-multicellular-function-through-multi-layer-tissue-networks-1707.04638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-multicellular-function-through-multi-layer-tissue-networks-1707.04638"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-liability-models-and-visualizations-of-high-dimensional-retail-employee-data-1707.04639</loc><lastmod>2018-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-liability-models-and-visualizations-of-high-dimensional-retail-employee-data-1707.04639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-liability-models-and-visualizations-of-high-dimensional-retail-employee-data-1707.04639"/></url>
<url><loc>https://scifaro.com/en/abs/learning-linear-structural-equation-models-in-polynomial-time-and-sample-complexity-1707.04673</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-linear-structural-equation-models-in-polynomial-time-and-sample-complexity-1707.04673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-linear-structural-equation-models-in-polynomial-time-and-sample-complexity-1707.04673"/></url>
<url><loc>https://scifaro.com/en/abs/block-normalized-gradient-method-an-empirical-study-for-training-deep-neural-network-1707.04822</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-normalized-gradient-method-an-empirical-study-for-training-deep-neural-network-1707.04822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-normalized-gradient-method-an-empirical-study-for-training-deep-neural-network-1707.04822"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-deviation-strategies-for-machine-learning-and-recognition-with-short-learning-samples-1707.04849</loc><lastmod>2017-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-deviation-strategies-for-machine-learning-and-recognition-with-short-learning-samples-1707.04849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-deviation-strategies-for-machine-learning-and-recognition-with-short-learning-samples-1707.04849"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-architecture-search-by-network-transformation-1707.04873</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-architecture-search-by-network-transformation-1707.04873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-architecture-search-by-network-transformation-1707.04873"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-insights-into-the-optimization-landscape-of-over-parameterized-shallow-neural-networks-1707.04926</loc><lastmod>2022-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-insights-into-the-optimization-landscape-of-over-parameterized-shallow-neural-networks-1707.04926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-insights-into-the-optimization-landscape-of-over-parameterized-shallow-neural-networks-1707.04926"/></url>
<url><loc>https://scifaro.com/en/abs/comparative-performance-analysis-of-neural-networks-architectures-on-h2o-platform-for-various-activation-functions-1707.04940</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparative-performance-analysis-of-neural-networks-architectures-on-h2o-platform-for-various-activation-functions-1707.04940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparative-performance-analysis-of-neural-networks-architectures-on-h2o-platform-for-various-activation-functions-1707.04940"/></url>
<url><loc>https://scifaro.com/en/abs/an-ensemble-boosting-model-for-predicting-transfer-to-the-pediatric-intensive-care-unit-1707.04958</loc><lastmod>2017-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-ensemble-boosting-model-for-predicting-transfer-to-the-pediatric-intensive-care-unit-1707.04958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-ensemble-boosting-model-for-predicting-transfer-to-the-pediatric-intensive-care-unit-1707.04958"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-to-attend-to-risk-in-icu-1707.05010</loc><lastmod>2017-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-to-attend-to-risk-in-icu-1707.05010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-to-attend-to-risk-in-icu-1707.05010"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-testing-of-identity-and-closeness-of-discrete-distributions-1707.05128</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-testing-of-identity-and-closeness-of-discrete-distributions-1707.05128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-testing-of-identity-and-closeness-of-discrete-distributions-1707.05128"/></url>
<url><loc>https://scifaro.com/en/abs/auto-conditioned-recurrent-networks-for-extended-complex-human-motion-synthesis-1707.05363</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-conditioned-recurrent-networks-for-extended-complex-human-motion-synthesis-1707.05363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-conditioned-recurrent-networks-for-extended-complex-human-motion-synthesis-1707.05363"/></url>
<url><loc>https://scifaro.com/en/abs/freehand-ultrasound-image-simulation-with-spatially-conditioned-generative-adversarial-networks-1707.05392</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/freehand-ultrasound-image-simulation-with-spatially-conditioned-generative-adversarial-networks-1707.05392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/freehand-ultrasound-image-simulation-with-spatially-conditioned-generative-adversarial-networks-1707.05392"/></url>
<url><loc>https://scifaro.com/en/abs/cooperative-hierarchical-dirichlet-processes-superposition-vs-maximization-1707.05420</loc><lastmod>2017-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cooperative-hierarchical-dirichlet-processes-superposition-vs-maximization-1707.05420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cooperative-hierarchical-dirichlet-processes-superposition-vs-maximization-1707.05420"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-identity-and-closeness-testing-of-discrete-distributions-1707.05497</loc><lastmod>2017-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-identity-and-closeness-testing-of-discrete-distributions-1707.05497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-identity-and-closeness-testing-of-discrete-distributions-1707.05497"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-approach-for-evaluating-creative-artifacts-1707.05499</loc><lastmod>2017-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-approach-for-evaluating-creative-artifacts-1707.05499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-approach-for-evaluating-creative-artifacts-1707.05499"/></url>
<url><loc>https://scifaro.com/en/abs/global-optimization-for-low-dimensional-switching-linear-regression-and-bounded-error-estimation-1707.05533</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-optimization-for-low-dimensional-switching-linear-regression-and-bounded-error-estimation-1707.05533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-optimization-for-low-dimensional-switching-linear-regression-and-bounded-error-estimation-1707.05533"/></url>
<url><loc>https://scifaro.com/en/abs/graph-learning-under-sparsity-priors-1707.05587</loc><lastmod>2017-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-learning-under-sparsity-priors-1707.05587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-learning-under-sparsity-priors-1707.05587"/></url>
<url><loc>https://scifaro.com/en/abs/vse-improving-visual-semantic-embeddings-with-hard-negatives-1707.05612</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vse-improving-visual-semantic-embeddings-with-hard-negatives-1707.05612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vse-improving-visual-semantic-embeddings-with-hard-negatives-1707.05612"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-evaluation-of-a-q-learning-algorithm-for-model-free-autonomous-soaring-1707.05668</loc><lastmod>2017-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-evaluation-of-a-q-learning-algorithm-for-model-free-autonomous-soaring-1707.05668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-evaluation-of-a-q-learning-algorithm-for-model-free-autonomous-soaring-1707.05668"/></url>
<url><loc>https://scifaro.com/en/abs/submodular-mini-batch-training-in-generative-moment-matching-networks-1707.05721</loc><lastmod>2017-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/submodular-mini-batch-training-in-generative-moment-matching-networks-1707.05721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/submodular-mini-batch-training-in-generative-moment-matching-networks-1707.05721"/></url>
<url><loc>https://scifaro.com/en/abs/robust-bayesian-optimization-with-student-t-likelihood-1707.05729</loc><lastmod>2017-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-bayesian-optimization-with-student-t-likelihood-1707.05729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-bayesian-optimization-with-student-t-likelihood-1707.05729"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-approach-to-diabetic-blood-glucose-prediction-1707.05828</loc><lastmod>2017-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-diabetic-blood-glucose-prediction-1707.05828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-diabetic-blood-glucose-prediction-1707.05828"/></url>
<url><loc>https://scifaro.com/en/abs/on-line-building-energy-optimization-using-deep-reinforcement-learning-1707.05878</loc><lastmod>2017-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-line-building-energy-optimization-using-deep-reinforcement-learning-1707.05878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-line-building-energy-optimization-using-deep-reinforcement-learning-1707.05878"/></url>
<url><loc>https://scifaro.com/en/abs/equivalence-between-line-and-matrix-factorization-1707.05926</loc><lastmod>2017-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivalence-between-line-and-matrix-factorization-1707.05926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivalence-between-line-and-matrix-factorization-1707.05926"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-of-sgld-for-non-convex-learning-two-theoretical-viewpoints-1707.05947</loc><lastmod>2017-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-of-sgld-for-non-convex-learning-two-theoretical-viewpoints-1707.05947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-of-sgld-for-non-convex-learning-two-theoretical-viewpoints-1707.05947"/></url>
<url><loc>https://scifaro.com/en/abs/naive-bayes-classification-for-subset-selection-1707.06142</loc><lastmod>2017-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/naive-bayes-classification-for-subset-selection-1707.06142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/naive-bayes-classification-for-subset-selection-1707.06142"/></url>
<url><loc>https://scifaro.com/en/abs/can-gan-learn-topological-features-of-a-graph-1707.06197</loc><lastmod>2017-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-gan-learn-topological-features-of-a-graph-1707.06197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-gan-learn-topological-features-of-a-graph-1707.06197"/></url>
<url><loc>https://scifaro.com/en/abs/imagination-augmented-agents-for-deep-reinforcement-learning-1707.06203</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imagination-augmented-agents-for-deep-reinforcement-learning-1707.06203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imagination-augmented-agents-for-deep-reinforcement-learning-1707.06203"/></url>
<url><loc>https://scifaro.com/en/abs/worst-case-vs-average-case-design-for-estimation-from-fixed-pairwise-comparisons-1707.06217</loc><lastmod>2017-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/worst-case-vs-average-case-design-for-estimation-from-fixed-pairwise-comparisons-1707.06217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/worst-case-vs-average-case-design-for-estimation-from-fixed-pairwise-comparisons-1707.06217"/></url>
<url><loc>https://scifaro.com/en/abs/learning-approximate-neural-estimators-for-wireless-channel-state-information-1707.06260</loc><lastmod>2017-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-approximate-neural-estimators-for-wireless-channel-state-information-1707.06260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-approximate-neural-estimators-for-wireless-channel-state-information-1707.06260"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-policy-optimization-algorithms-1707.06347</loc><lastmod>2017-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-policy-optimization-algorithms-1707.06347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-policy-optimization-algorithms-1707.06347"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-by-using-causal-inference-to-predict-invariant-conditional-distributions-1707.06422</loc><lastmod>2022-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-by-using-causal-inference-to-predict-invariant-conditional-distributions-1707.06422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-by-using-causal-inference-to-predict-invariant-conditional-distributions-1707.06422"/></url>
<url><loc>https://scifaro.com/en/abs/voiceloop-voice-fitting-and-synthesis-via-a-phonological-loop-1707.06588</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/voiceloop-voice-fitting-and-synthesis-via-a-phonological-loop-1707.06588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/voiceloop-voice-fitting-and-synthesis-via-a-phonological-loop-1707.06588"/></url>
<url><loc>https://scifaro.com/en/abs/decoupled-classifiers-for-fair-and-efficient-machine-learning-1707.06613</loc><lastmod>2017-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupled-classifiers-for-fair-and-efficient-machine-learning-1707.06613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupled-classifiers-for-fair-and-efficient-machine-learning-1707.06613"/></url>
<url><loc>https://scifaro.com/en/abs/rail-risk-averse-imitation-learning-1707.06658</loc><lastmod>2017-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rail-risk-averse-imitation-learning-1707.06658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rail-risk-averse-imitation-learning-1707.06658"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-defenses-against-adversarial-attacks-1707.06728</loc><lastmod>2017-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-defenses-against-adversarial-attacks-1707.06728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-defenses-against-adversarial-attacks-1707.06728"/></url>
<url><loc>https://scifaro.com/en/abs/machine-teaching-a-new-paradigm-for-building-machine-learning-systems-1707.06742</loc><lastmod>2017-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-teaching-a-new-paradigm-for-building-machine-learning-systems-1707.06742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-teaching-a-new-paradigm-for-building-machine-learning-systems-1707.06742"/></url>
<url><loc>https://scifaro.com/en/abs/a-distributional-perspective-on-reinforcement-learning-1707.06887</loc><lastmod>2017-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributional-perspective-on-reinforcement-learning-1707.06887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributional-perspective-on-reinforcement-learning-1707.06887"/></url>
<url><loc>https://scifaro.com/en/abs/dictionary-learning-and-sparse-coding-based-denoising-for-high-resolution-task-functional-connectivity-mri-analysis-1707.06962</loc><lastmod>2017-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dictionary-learning-and-sparse-coding-based-denoising-for-high-resolution-task-functional-connectivity-mri-analysis-1707.06962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dictionary-learning-and-sparse-coding-based-denoising-for-high-resolution-task-functional-connectivity-mri-analysis-1707.06962"/></url>
<url><loc>https://scifaro.com/en/abs/ideological-sublations-resolution-of-dialectic-in-population-based-optimization-1707.06992</loc><lastmod>2017-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ideological-sublations-resolution-of-dialectic-in-population-based-optimization-1707.06992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ideological-sublations-resolution-of-dialectic-in-population-based-optimization-1707.06992"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-structured-clinical-data-1707.06997</loc><lastmod>2017-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-structured-clinical-data-1707.06997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-structured-clinical-data-1707.06997"/></url>
<url><loc>https://scifaro.com/en/abs/joint-doa-estimation-and-array-calibration-using-multiple-parametric-dictionary-learning-1707.07299</loc><lastmod>2017-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-doa-estimation-and-array-calibration-using-multiple-parametric-dictionary-learning-1707.07299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-doa-estimation-and-array-calibration-using-multiple-parametric-dictionary-learning-1707.07299"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-multi-armed-bandit-with-probabilistically-triggered-arms-a-case-with-bounded-regret-1707.07443</loc><lastmod>2017-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-multi-armed-bandit-with-probabilistically-triggered-arms-a-case-with-bounded-regret-1707.07443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-multi-armed-bandit-with-probabilistically-triggered-arms-a-case-with-bounded-regret-1707.07443"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-estimation-for-generative-adversarial-networks-1707.07530</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-estimation-for-generative-adversarial-networks-1707.07530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-estimation-for-generative-adversarial-networks-1707.07530"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-approach-to-digitally-stain-optical-coherence-tomography-images-of-the-optic-nerve-head-1707.07609</loc><lastmod>2017-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-digitally-stain-optical-coherence-tomography-images-of-the-optic-nerve-head-1707.07609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-digitally-stain-optical-coherence-tomography-images-of-the-optic-nerve-head-1707.07609"/></url>
<url><loc>https://scifaro.com/en/abs/engineering-fast-multilevel-support-vector-machines-1707.07657</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/engineering-fast-multilevel-support-vector-machines-1707.07657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/engineering-fast-multilevel-support-vector-machines-1707.07657"/></url>
<url><loc>https://scifaro.com/en/abs/bellman-gradient-iteration-for-inverse-reinforcement-learning-1707.07767</loc><lastmod>2017-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bellman-gradient-iteration-for-inverse-reinforcement-learning-1707.07767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bellman-gradient-iteration-for-inverse-reinforcement-learning-1707.07767"/></url>
<url><loc>https://scifaro.com/en/abs/partial-transfer-learning-with-selective-adversarial-networks-1707.07901</loc><lastmod>2017-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-transfer-learning-with-selective-adversarial-networks-1707.07901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-transfer-learning-with-selective-adversarial-networks-1707.07901"/></url>
<url><loc>https://scifaro.com/en/abs/boosted-zero-shot-learning-with-semantic-correlation-regularization-1707.08008</loc><lastmod>2017-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosted-zero-shot-learning-with-semantic-correlation-regularization-1707.08008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosted-zero-shot-learning-with-semantic-correlation-regularization-1707.08008"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-exponential-family-framework-for-zero-shot-learning-1707.08040</loc><lastmod>2018-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-exponential-family-framework-for-zero-shot-learning-1707.08040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-exponential-family-framework-for-zero-shot-learning-1707.08040"/></url>
<url><loc>https://scifaro.com/en/abs/deep-forecast-deep-learning-based-spatio-temporal-forecasting-1707.08110</loc><lastmod>2017-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-forecast-deep-learning-based-spatio-temporal-forecasting-1707.08110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-forecast-deep-learning-based-spatio-temporal-forecasting-1707.08110"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-multi-task-learning-1707.08114</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-multi-task-learning-1707.08114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-multi-task-learning-1707.08114"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-low-rank-tensor-ring-completion-1707.08184</loc><lastmod>2017-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-low-rank-tensor-ring-completion-1707.08184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-low-rank-tensor-ring-completion-1707.08184"/></url>
<url><loc>https://scifaro.com/en/abs/sleepnet-automated-sleep-staging-system-via-deep-learning-1707.08262</loc><lastmod>2017-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sleepnet-automated-sleep-staging-system-via-deep-learning-1707.08262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sleepnet-automated-sleep-staging-system-via-deep-learning-1707.08262"/></url>
<url><loc>https://scifaro.com/en/abs/mmgan-manifold-matching-generative-adversarial-network-1707.08273</loc><lastmod>2018-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mmgan-manifold-matching-generative-adversarial-network-1707.08273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mmgan-manifold-matching-generative-adversarial-network-1707.08273"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-regression-networks-1707.08308</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-regression-networks-1707.08308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-regression-networks-1707.08308"/></url>
<url><loc>https://scifaro.com/en/abs/asymmetric-deep-supervised-hashing-1707.08325</loc><lastmod>2017-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymmetric-deep-supervised-hashing-1707.08325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymmetric-deep-supervised-hashing-1707.08325"/></url>
<url><loc>https://scifaro.com/en/abs/updating-singular-value-decomposition-for-rank-one-matrix-perturbation-1707.08369</loc><lastmod>2017-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/updating-singular-value-decomposition-for-rank-one-matrix-perturbation-1707.08369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/updating-singular-value-decomposition-for-rank-one-matrix-perturbation-1707.08369"/></url>
<url><loc>https://scifaro.com/en/abs/tensorlayer-a-versatile-library-for-efficient-deep-learning-development-1707.08551</loc><lastmod>2017-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensorlayer-a-versatile-library-for-efficient-deep-learning-development-1707.08551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensorlayer-a-versatile-library-for-efficient-deep-learning-development-1707.08551"/></url>
<url><loc>https://scifaro.com/en/abs/direct-load-control-of-thermostatically-controlled-loads-based-on-sparse-observations-using-deep-reinforcement-learning-1707.08553</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direct-load-control-of-thermostatically-controlled-loads-based-on-sparse-observations-using-deep-reinforcement-learning-1707.08553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direct-load-control-of-thermostatically-controlled-loads-based-on-sparse-observations-using-deep-reinforcement-learning-1707.08553"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-for-approximate-subtropical-matrix-factorization-1707.08872</loc><lastmod>2017-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-approximate-subtropical-matrix-factorization-1707.08872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-approximate-subtropical-matrix-factorization-1707.08872"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-convex-optimization-for-scalable-and-dynamic-iot-management-1707.09060</loc><lastmod>2018-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-convex-optimization-for-scalable-and-dynamic-iot-management-1707.09060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-convex-optimization-for-scalable-and-dynamic-iot-management-1707.09060"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-algorithms-for-non-convex-isotonic-regression-through-submodular-optimization-1707.09157</loc><lastmod>2017-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-algorithms-for-non-convex-isotonic-regression-through-submodular-optimization-1707.09157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-algorithms-for-non-convex-isotonic-regression-through-submodular-optimization-1707.09157"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-stochastic-robust-optimization-a-general-computational-framework-and-algorithm-for-optimization-under-uncertainty-in-the-big-data-era-1707.09198</loc><lastmod>2019-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-stochastic-robust-optimization-a-general-computational-framework-and-algorithm-for-optimization-under-uncertainty-in-the-big-data-era-1707.09198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-stochastic-robust-optimization-a-general-computational-framework-and-algorithm-for-optimization-under-uncertainty-in-the-big-data-era-1707.09198"/></url>
<url><loc>https://scifaro.com/en/abs/the-topology-of-statistical-verifiability-1707.09378</loc><lastmod>2017-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-topology-of-statistical-verifiability-1707.09378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-topology-of-statistical-verifiability-1707.09378"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-reinforcement-learning-in-large-state-spaces-via-function-approximation-1707.09394</loc><lastmod>2017-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-in-large-state-spaces-via-function-approximation-1707.09394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-in-large-state-spaces-via-function-approximation-1707.09394"/></url>
<url><loc>https://scifaro.com/en/abs/proceedings-of-the-ijcai-2017-workshop-on-learning-in-the-presence-of-class-imbalance-and-concept-drift-lpcicd-17-1707.09425</loc><lastmod>2017-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proceedings-of-the-ijcai-2017-workshop-on-learning-in-the-presence-of-class-imbalance-and-concept-drift-lpcicd-17-1707.09425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proceedings-of-the-ijcai-2017-workshop-on-learning-in-the-presence-of-class-imbalance-and-concept-drift-lpcicd-17-1707.09425"/></url>
<url><loc>https://scifaro.com/en/abs/a-pac-bayesian-approach-to-spectrally-normalized-margin-bounds-for-neural-networks-1707.09564</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pac-bayesian-approach-to-spectrally-normalized-margin-bounds-for-neural-networks-1707.09564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pac-bayesian-approach-to-spectrally-normalized-margin-bounds-for-neural-networks-1707.09564"/></url>
<url><loc>https://scifaro.com/en/abs/towards-visual-explanations-for-convolutional-neural-networks-via-input-resampling-1707.09641</loc><lastmod>2017-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-visual-explanations-for-convolutional-neural-networks-via-input-resampling-1707.09641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-visual-explanations-for-convolutional-neural-networks-via-input-resampling-1707.09641"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-renewable-scenario-generation-using-generative-adversarial-networks-1707.09676</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-renewable-scenario-generation-using-generative-adversarial-networks-1707.09676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-renewable-scenario-generation-using-generative-adversarial-networks-1707.09676"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-match-1707.09678</loc><lastmod>2017-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-match-1707.09678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-match-1707.09678"/></url>
<url><loc>https://scifaro.com/en/abs/meta-sgd-learning-to-learn-quickly-for-few-shot-learning-1707.09835</loc><lastmod>2017-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-sgd-learning-to-learn-quickly-for-few-shot-learning-1707.09835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-sgd-learning-to-learn-quickly-for-few-shot-learning-1707.09835"/></url>
<url><loc>https://scifaro.com/en/abs/learning-neural-network-classifiers-with-low-model-complexity-1707.09933</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-neural-network-classifiers-with-low-model-complexity-1707.09933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-neural-network-classifiers-with-low-model-complexity-1707.09933"/></url>
<url><loc>https://scifaro.com/en/abs/time-dependent-representation-for-neural-event-sequence-prediction-1708.00065</loc><lastmod>2018-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-dependent-representation-for-neural-event-sequence-prediction-1708.00065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-dependent-representation-for-neural-event-sequence-prediction-1708.00065"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-regret-minimization-in-non-convex-games-1708.00075</loc><lastmod>2017-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-regret-minimization-in-non-convex-games-1708.00075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-regret-minimization-in-non-convex-games-1708.00075"/></url>
<url><loc>https://scifaro.com/en/abs/learning-algorithms-for-active-learning-1708.00088</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-algorithms-for-active-learning-1708.00088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-algorithms-for-active-learning-1708.00088"/></url>
<url><loc>https://scifaro.com/en/abs/a-continuous-relaxation-of-beam-search-for-end-to-end-training-of-neural-sequence-models-1708.00111</loc><lastmod>2017-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-continuous-relaxation-of-beam-search-for-end-to-end-training-of-neural-sequence-models-1708.00111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-continuous-relaxation-of-beam-search-for-end-to-end-training-of-neural-sequence-models-1708.00111"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-low-rank-matrix-learning-with-nonconvex-regularizers-1708.00146</loc><lastmod>2018-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-low-rank-matrix-learning-with-nonconvex-regularizers-1708.00146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-low-rank-matrix-learning-with-nonconvex-regularizers-1708.00146"/></url>
<url><loc>https://scifaro.com/en/abs/tensorial-recurrent-neural-networks-for-longitudinal-data-analysis-1708.00185</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensorial-recurrent-neural-networks-for-longitudinal-data-analysis-1708.00185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensorial-recurrent-neural-networks-for-longitudinal-data-analysis-1708.00185"/></url>
<url><loc>https://scifaro.com/en/abs/deep-asymmetric-multi-task-feature-learning-1708.00260</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-asymmetric-multi-task-feature-learning-1708.00260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-asymmetric-multi-task-feature-learning-1708.00260"/></url>
<url><loc>https://scifaro.com/en/abs/attend-and-predict-understanding-gene-regulation-by-selective-attention-on-chromatin-1708.00339</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attend-and-predict-understanding-gene-regulation-by-selective-attention-on-chromatin-1708.00339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attend-and-predict-understanding-gene-regulation-by-selective-attention-on-chromatin-1708.00339"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-kernel-matrix-by-resampling-1708.00365</loc><lastmod>2017-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-kernel-matrix-by-resampling-1708.00365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-kernel-matrix-by-resampling-1708.00365"/></url>
<url><loc>https://scifaro.com/en/abs/the-duality-structure-gradient-descent-algorithm-analysis-and-applications-to-neural-networks-1708.00523</loc><lastmod>2024-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-duality-structure-gradient-descent-algorithm-analysis-and-applications-to-neural-networks-1708.00523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-duality-structure-gradient-descent-algorithm-analysis-and-applications-to-neural-networks-1708.00523"/></url>
<url><loc>https://scifaro.com/en/abs/on-w-mixtures-finite-convex-combinations-of-prescribed-component-distributions-1708.00568</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-w-mixtures-finite-convex-combinations-of-prescribed-component-distributions-1708.00568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-w-mixtures-finite-convex-combinations-of-prescribed-component-distributions-1708.00568"/></url>
<url><loc>https://scifaro.com/en/abs/controllable-generative-adversarial-network-1708.00598</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controllable-generative-adversarial-network-1708.00598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controllable-generative-adversarial-network-1708.00598"/></url>
<url><loc>https://scifaro.com/en/abs/exact-tensor-completion-from-sparsely-corrupted-observations-via-convex-optimization-1708.00601</loc><lastmod>2017-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-tensor-completion-from-sparsely-corrupted-observations-via-convex-optimization-1708.00601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-tensor-completion-from-sparsely-corrupted-observations-via-convex-optimization-1708.00601"/></url>
<url><loc>https://scifaro.com/en/abs/projectionnet-learning-efficient-on-device-deep-networks-using-neural-projections-1708.00630</loc><lastmod>2017-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projectionnet-learning-efficient-on-device-deep-networks-using-neural-projections-1708.00630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projectionnet-learning-efficient-on-device-deep-networks-using-neural-projections-1708.00630"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-importance-of-consistency-in-training-deep-neural-networks-1708.00631</loc><lastmod>2017-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-importance-of-consistency-in-training-deep-neural-networks-1708.00631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-importance-of-consistency-in-training-deep-neural-networks-1708.00631"/></url>
<url><loc>https://scifaro.com/en/abs/variational-generative-stochastic-networks-with-collaborative-shaping-1708.00805</loc><lastmod>2017-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-generative-stochastic-networks-with-collaborative-shaping-1708.00805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-generative-stochastic-networks-with-collaborative-shaping-1708.00805"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-properties-of-a-k-step-averaging-stochastic-gradient-descent-algorithm-for-nonconvex-optimization-1708.01012</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-properties-of-a-k-step-averaging-stochastic-gradient-descent-algorithm-for-nonconvex-optimization-1708.01012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-properties-of-a-k-step-averaging-stochastic-gradient-descent-algorithm-for-nonconvex-optimization-1708.01012"/></url>
<url><loc>https://scifaro.com/en/abs/sensor-transformation-attention-networks-1708.01015</loc><lastmod>2017-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensor-transformation-attention-networks-1708.01015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensor-transformation-attention-networks-1708.01015"/></url>
<url><loc>https://scifaro.com/en/abs/applying-advanced-machine-learning-models-to-classify-electro-physiological-activity-of-human-brain-for-use-in-biometric-identification-1708.01167</loc><lastmod>2017-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-advanced-machine-learning-models-to-classify-electro-physiological-activity-of-human-brain-for-use-in-biometric-identification-1708.01167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-advanced-machine-learning-models-to-classify-electro-physiological-activity-of-human-brain-for-use-in-biometric-identification-1708.01167"/></url>
<url><loc>https://scifaro.com/en/abs/independently-controllable-factors-1708.01289</loc><lastmod>2017-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/independently-controllable-factors-1708.01289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/independently-controllable-factors-1708.01289"/></url>
<url><loc>https://scifaro.com/en/abs/effective-sketching-methods-for-value-function-approximation-1708.01298</loc><lastmod>2017-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-sketching-methods-for-value-function-approximation-1708.01298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-sketching-methods-for-value-function-approximation-1708.01298"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduced-stochastic-learning-under-random-reshuffling-1708.01383</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduced-stochastic-learning-under-random-reshuffling-1708.01383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduced-stochastic-learning-under-random-reshuffling-1708.01383"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduced-stochastic-learning-by-networked-agents-under-random-reshuffling-1708.01384</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduced-stochastic-learning-by-networked-agents-under-random-reshuffling-1708.01384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduced-stochastic-learning-by-networked-agents-under-random-reshuffling-1708.01384"/></url>
<url><loc>https://scifaro.com/en/abs/the-all-paths-and-cycles-graph-kernel-1708.01410</loc><lastmod>2017-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-all-paths-and-cycles-graph-kernel-1708.01410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-all-paths-and-cycles-graph-kernel-1708.01410"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-solution-of-large-scale-linear-systems-via-accelerated-projection-based-consensus-1708.01413</loc><lastmod>2017-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-solution-of-large-scale-linear-systems-via-accelerated-projection-based-consensus-1708.01413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-solution-of-large-scale-linear-systems-via-accelerated-projection-based-consensus-1708.01413"/></url>
<url><loc>https://scifaro.com/en/abs/lifelong-learning-with-dynamically-expandable-networks-1708.01547</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifelong-learning-with-dynamically-expandable-networks-1708.01547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifelong-learning-with-dynamically-expandable-networks-1708.01547"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-probabilities-1708.01611</loc><lastmod>2017-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-probabilities-1708.01611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-probabilities-1708.01611"/></url>
<url><loc>https://scifaro.com/en/abs/an-effective-training-method-for-deep-convolutional-neural-network-1708.01666</loc><lastmod>2017-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-effective-training-method-for-deep-convolutional-neural-network-1708.01666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-effective-training-method-for-deep-convolutional-neural-network-1708.01666"/></url>
<url><loc>https://scifaro.com/en/abs/inception-score-label-smoothing-gradient-vanishing-and-log-d-x-alternative-1708.01729</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inception-score-label-smoothing-gradient-vanishing-and-log-d-x-alternative-1708.01729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inception-score-label-smoothing-gradient-vanishing-and-log-d-x-alternative-1708.01729"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-variational-inference-an-optimization-perspective-1708.01733</loc><lastmod>2018-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-variational-inference-an-optimization-perspective-1708.01733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-variational-inference-an-optimization-perspective-1708.01733"/></url>
<url><loc>https://scifaro.com/en/abs/an-aggregating-strategy-for-shifting-experts-in-discrete-sequence-prediction-1708.01744</loc><lastmod>2017-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-aggregating-strategy-for-shifting-experts-in-discrete-sequence-prediction-1708.01744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-aggregating-strategy-for-shifting-experts-in-discrete-sequence-prediction-1708.01744"/></url>
<url><loc>https://scifaro.com/en/abs/e-qraq-a-multi-turn-reasoning-dataset-and-simulator-with-explanations-1708.01776</loc><lastmod>2017-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/e-qraq-a-multi-turn-reasoning-dataset-and-simulator-with-explanations-1708.01776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/e-qraq-a-multi-turn-reasoning-dataset-and-simulator-with-explanations-1708.01776"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-contextual-bandits-in-non-stationary-worlds-1708.01799</loc><lastmod>2019-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-contextual-bandits-in-non-stationary-worlds-1708.01799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-contextual-bandits-in-non-stationary-worlds-1708.01799"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-generative-adversarial-networks-1708.01886</loc><lastmod>2017-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-generative-adversarial-networks-1708.01886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-generative-adversarial-networks-1708.01886"/></url>
<url><loc>https://scifaro.com/en/abs/universally-consistent-predictive-distributions-1708.01902</loc><lastmod>2017-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universally-consistent-predictive-distributions-1708.01902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universally-consistent-predictive-distributions-1708.01902"/></url>
<url><loc>https://scifaro.com/en/abs/training-of-deep-neural-networks-based-on-distance-measures-using-rmsprop-1708.01911</loc><lastmod>2017-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-of-deep-neural-networks-based-on-distance-measures-using-rmsprop-1708.01911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-of-deep-neural-networks-based-on-distance-measures-using-rmsprop-1708.01911"/></url>
<url><loc>https://scifaro.com/en/abs/learning-theory-of-distributed-regression-with-bias-corrected-regularization-kernel-network-1708.01960</loc><lastmod>2017-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-theory-of-distributed-regression-with-bias-corrected-regularization-kernel-network-1708.01960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-theory-of-distributed-regression-with-bias-corrected-regularization-kernel-network-1708.01960"/></url>
<url><loc>https://scifaro.com/en/abs/nonconvex-sparse-logistic-regression-with-weakly-convex-regularization-1708.02059</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonconvex-sparse-logistic-regression-with-weakly-convex-regularization-1708.02059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonconvex-sparse-logistic-regression-with-weakly-convex-regularization-1708.02059"/></url>
<url><loc>https://scifaro.com/en/abs/linear-convergence-of-a-frank-wolfe-type-algorithm-over-trace-norm-balls-1708.02105</loc><lastmod>2017-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-convergence-of-a-frank-wolfe-type-algorithm-over-trace-norm-balls-1708.02105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-convergence-of-a-frank-wolfe-type-algorithm-over-trace-norm-balls-1708.02105"/></url>
<url><loc>https://scifaro.com/en/abs/gplac-generalizing-vision-based-robotic-skills-using-weakly-labeled-images-1708.02313</loc><lastmod>2017-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gplac-generalizing-vision-based-robotic-skills-using-weakly-labeled-images-1708.02313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gplac-generalizing-vision-based-robotic-skills-using-weakly-labeled-images-1708.02313"/></url>
<url><loc>https://scifaro.com/en/abs/robust-conditional-probabilities-1708.02406</loc><lastmod>2017-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-conditional-probabilities-1708.02406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-conditional-probabilities-1708.02406"/></url>
<url><loc>https://scifaro.com/en/abs/fast-low-rank-bayesian-matrix-completion-with-hierarchical-gaussian-prior-models-1708.02455</loc><lastmod>2018-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-low-rank-bayesian-matrix-completion-with-hierarchical-gaussian-prior-models-1708.02455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-low-rank-bayesian-matrix-completion-with-hierarchical-gaussian-prior-models-1708.02455"/></url>
<url><loc>https://scifaro.com/en/abs/multiscale-strategies-for-computing-optimal-transport-1708.02469</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiscale-strategies-for-computing-optimal-transport-1708.02469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiscale-strategies-for-computing-optimal-transport-1708.02469"/></url>
<url><loc>https://scifaro.com/en/abs/learning-non-parametric-markov-networks-with-mutual-information-1708.02497</loc><lastmod>2017-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-non-parametric-markov-networks-with-mutual-information-1708.02497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-non-parametric-markov-networks-with-mutual-information-1708.02497"/></url>
<url><loc>https://scifaro.com/en/abs/parametric-adversarial-divergences-are-good-losses-for-generative-modeling-1708.02511</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametric-adversarial-divergences-are-good-losses-for-generative-modeling-1708.02511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametric-adversarial-divergences-are-good-losses-for-generative-modeling-1708.02511"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-optimization-with-bandit-sampling-1708.02544</loc><lastmod>2017-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-optimization-with-bandit-sampling-1708.02544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-optimization-with-bandit-sampling-1708.02544"/></url>
<url><loc>https://scifaro.com/en/abs/multi-generator-generative-adversarial-nets-1708.02556</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-generator-generative-adversarial-nets-1708.02556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-generator-generative-adversarial-nets-1708.02556"/></url>
<url><loc>https://scifaro.com/en/abs/belief-propagation-bethe-approximation-and-polynomials-1708.02581</loc><lastmod>2017-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/belief-propagation-bethe-approximation-and-polynomials-1708.02581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/belief-propagation-bethe-approximation-and-polynomials-1708.02581"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-dynamics-for-model-based-deep-reinforcement-learning-with-model-free-fine-tuning-1708.02596</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-dynamics-for-model-based-deep-reinforcement-learning-with-model-free-fine-tuning-1708.02596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-dynamics-for-model-based-deep-reinforcement-learning-with-model-free-fine-tuning-1708.02596"/></url>
<url><loc>https://scifaro.com/en/abs/extractor-based-time-space-lower-bounds-for-learning-1708.02639</loc><lastmod>2017-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extractor-based-time-space-lower-bounds-for-learning-1708.02639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extractor-based-time-space-lower-bounds-for-learning-1708.02639"/></url>
<url><loc>https://scifaro.com/en/abs/time-space-tradeoffs-for-learning-from-small-test-spaces-learning-low-degree-polynomial-functions-1708.02640</loc><lastmod>2017-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-space-tradeoffs-for-learning-from-small-test-spaces-learning-low-degree-polynomial-functions-1708.02640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-space-tradeoffs-for-learning-from-small-test-spaces-learning-low-degree-polynomial-functions-1708.02640"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-enhanced-kriging-for-high-dimensional-problems-1708.02663</loc><lastmod>2017-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-enhanced-kriging-for-high-dimensional-problems-1708.02663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-enhanced-kriging-for-high-dimensional-problems-1708.02663"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-prototypical-networks-for-few-shot-learning-on-omniglot-1708.02735</loc><lastmod>2017-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-prototypical-networks-for-few-shot-learning-on-omniglot-1708.02735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-prototypical-networks-for-few-shot-learning-on-omniglot-1708.02735"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-prism-semi-verified-learning-in-the-small-alpha-regime-1708.02740</loc><lastmod>2017-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-prism-semi-verified-learning-in-the-small-alpha-regime-1708.02740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-prism-semi-verified-learning-in-the-small-alpha-regime-1708.02740"/></url>
<url><loc>https://scifaro.com/en/abs/non-adaptive-randomized-algorithm-for-group-testing-1708.02787</loc><lastmod>2017-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-adaptive-randomized-algorithm-for-group-testing-1708.02787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-adaptive-randomized-algorithm-for-group-testing-1708.02787"/></url>
<url><loc>https://scifaro.com/en/abs/simulated-annealing-with-levy-distribution-for-fast-matrix-factorization-based-collaborative-filtering-1708.02867</loc><lastmod>2017-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulated-annealing-with-levy-distribution-for-fast-matrix-factorization-based-collaborative-filtering-1708.02867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulated-annealing-with-levy-distribution-for-fast-matrix-factorization-based-collaborative-filtering-1708.02867"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-unregularized-online-learning-algorithms-1708.02939</loc><lastmod>2017-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-unregularized-online-learning-algorithms-1708.02939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-unregularized-online-learning-algorithms-1708.02939"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-on-graph-time-series-1708.02975</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-on-graph-time-series-1708.02975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-on-graph-time-series-1708.02975"/></url>
<url><loc>https://scifaro.com/en/abs/tikhonov-regularization-for-long-short-term-memory-networks-1708.02979</loc><lastmod>2017-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tikhonov-regularization-for-long-short-term-memory-networks-1708.02979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tikhonov-regularization-for-long-short-term-memory-networks-1708.02979"/></url>
<url><loc>https://scifaro.com/en/abs/communication-free-parallel-supervised-topic-models-1708.03052</loc><lastmod>2017-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-free-parallel-supervised-topic-models-1708.03052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-free-parallel-supervised-topic-models-1708.03052"/></url>
<url><loc>https://scifaro.com/en/abs/hypotheses-testing-on-infinite-random-graphs-1708.03131</loc><lastmod>2017-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypotheses-testing-on-infinite-random-graphs-1708.03131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypotheses-testing-on-infinite-random-graphs-1708.03131"/></url>
<url><loc>https://scifaro.com/en/abs/output-reachable-set-estimation-and-verification-for-multi-layer-neural-networks-1708.03322</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/output-reachable-set-estimation-and-verification-for-multi-layer-neural-networks-1708.03322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/output-reachable-set-estimation-and-verification-for-multi-layer-neural-networks-1708.03322"/></url>
<url><loc>https://scifaro.com/en/abs/resilient-linear-classification-an-approach-to-deal-with-attacks-on-training-data-1708.03366</loc><lastmod>2017-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resilient-linear-classification-an-approach-to-deal-with-attacks-on-training-data-1708.03366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resilient-linear-classification-an-approach-to-deal-with-attacks-on-training-data-1708.03366"/></url>
<url><loc>https://scifaro.com/en/abs/topical-behavior-prediction-from-massive-logs-1708.03381</loc><lastmod>2017-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topical-behavior-prediction-from-massive-logs-1708.03381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topical-behavior-prediction-from-massive-logs-1708.03381"/></url>
<url><loc>https://scifaro.com/en/abs/jumping-across-biomedical-contexts-using-compressive-data-fusion-1708.03392</loc><lastmod>2017-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jumping-across-biomedical-contexts-using-compressive-data-fusion-1708.03392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jumping-across-biomedical-contexts-using-compressive-data-fusion-1708.03392"/></url>
<url><loc>https://scifaro.com/en/abs/neural-expectation-maximization-1708.03498</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-expectation-maximization-1708.03498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-expectation-maximization-1708.03498"/></url>
<url><loc>https://scifaro.com/en/abs/eigenvalue-decay-implies-polynomial-time-learnability-for-neural-networks-1708.03708</loc><lastmod>2017-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigenvalue-decay-implies-polynomial-time-learnability-for-neural-networks-1708.03708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigenvalue-decay-implies-polynomial-time-learnability-for-neural-networks-1708.03708"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-coding-and-autoencoders-1708.03735</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-coding-and-autoencoders-1708.03735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-coding-and-autoencoders-1708.03735"/></url>
<url><loc>https://scifaro.com/en/abs/direct-manipulation-visualization-of-deep-networks-1708.03788</loc><lastmod>2017-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direct-manipulation-visualization-of-deep-networks-1708.03788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direct-manipulation-visualization-of-deep-networks-1708.03788"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-methods-for-submodular-maximization-1708.03949</loc><lastmod>2017-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-methods-for-submodular-maximization-1708.03949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-methods-for-submodular-maximization-1708.03949"/></url>
<url><loc>https://scifaro.com/en/abs/group-driven-reinforcement-learning-for-personalized-mhealth-intervention-1708.04001</loc><lastmod>2017-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-driven-reinforcement-learning-for-personalized-mhealth-intervention-1708.04001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-driven-reinforcement-learning-for-personalized-mhealth-intervention-1708.04001"/></url>
<url><loc>https://scifaro.com/en/abs/early-improving-recurrent-elastic-highway-network-1708.04116</loc><lastmod>2017-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-improving-recurrent-elastic-highway-network-1708.04116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-improving-recurrent-elastic-highway-network-1708.04116"/></url>
<url><loc>https://scifaro.com/en/abs/reproducibility-of-benchmarked-deep-reinforcement-learning-tasks-for-continuous-control-1708.04133</loc><lastmod>2017-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reproducibility-of-benchmarked-deep-reinforcement-learning-tasks-for-continuous-control-1708.04133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reproducibility-of-benchmarked-deep-reinforcement-learning-tasks-for-continuous-control-1708.04133"/></url>
<url><loc>https://scifaro.com/en/abs/distance-and-similarity-measures-effect-on-the-performance-of-k-nearest-neighbor-classifier-a-review-1708.04321</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-and-similarity-measures-effect-on-the-performance-of-k-nearest-neighbor-classifier-a-review-1708.04321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-and-similarity-measures-effect-on-the-performance-of-k-nearest-neighbor-classifier-a-review-1708.04321"/></url>
<url><loc>https://scifaro.com/en/abs/graph-classification-via-deep-learning-with-virtual-nodes-1708.04357</loc><lastmod>2017-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-classification-via-deep-learning-with-virtual-nodes-1708.04357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-classification-via-deep-learning-with-virtual-nodes-1708.04357"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-foundation-of-co-training-and-disagreement-based-algorithms-1708.04403</loc><lastmod>2017-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-foundation-of-co-training-and-disagreement-based-algorithms-1708.04403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-foundation-of-co-training-and-disagreement-based-algorithms-1708.04403"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-noisy-label-distributions-1708.04529</loc><lastmod>2017-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-noisy-label-distributions-1708.04529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-noisy-label-distributions-1708.04529"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-load-prediction-with-high-velocity-smart-home-data-stream-1708.04613</loc><lastmod>2017-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-load-prediction-with-high-velocity-smart-home-data-stream-1708.04613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-load-prediction-with-high-velocity-smart-home-data-stream-1708.04613"/></url>
<url><loc>https://scifaro.com/en/abs/attentional-factorization-machines-learning-the-weight-of-feature-interactions-via-attention-networks-1708.04617</loc><lastmod>2017-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attentional-factorization-machines-learning-the-weight-of-feature-interactions-via-attention-networks-1708.04617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attentional-factorization-machines-learning-the-weight-of-feature-interactions-via-attention-networks-1708.04617"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-survival-analysis-a-survey-1708.04649</loc><lastmod>2017-12-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-survival-analysis-a-survey-1708.04649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-survival-analysis-a-survey-1708.04649"/></url>
<url><loc>https://scifaro.com/en/abs/guiding-network-analysis-using-graph-slepians-an-illustration-for-the-c-elegans-connectome-1708.04657</loc><lastmod>2017-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guiding-network-analysis-using-graph-slepians-an-illustration-for-the-c-elegans-connectome-1708.04657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guiding-network-analysis-using-graph-slepians-an-illustration-for-the-c-elegans-connectome-1708.04657"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graph-while-training-an-evolving-graph-convolutional-neural-network-1708.04675</loc><lastmod>2017-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graph-while-training-an-evolving-graph-convolutional-neural-network-1708.04675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graph-while-training-an-evolving-graph-convolutional-neural-network-1708.04675"/></url>
<url><loc>https://scifaro.com/en/abs/learning-rich-geographical-representations-predicting-colorectal-cancer-survival-in-the-state-of-iowa-1708.04714</loc><lastmod>2017-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-rich-geographical-representations-predicting-colorectal-cancer-survival-in-the-state-of-iowa-1708.04714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-rich-geographical-representations-predicting-colorectal-cancer-survival-in-the-state-of-iowa-1708.04714"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-enclosing-networks-1708.04733</loc><lastmod>2017-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-enclosing-networks-1708.04733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-enclosing-networks-1708.04733"/></url>
<url><loc>https://scifaro.com/en/abs/active-orthogonal-matching-pursuit-for-sparse-subspace-clustering-1708.04764</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-orthogonal-matching-pursuit-for-sparse-subspace-clustering-1708.04764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-orthogonal-matching-pursuit-for-sparse-subspace-clustering-1708.04764"/></url>
<url><loc>https://scifaro.com/en/abs/racing-thompson-an-efficient-algorithm-for-thompson-sampling-with-non-conjugate-priors-1708.04781</loc><lastmod>2017-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/racing-thompson-an-efficient-algorithm-for-thompson-sampling-with-non-conjugate-priors-1708.04781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/racing-thompson-an-efficient-algorithm-for-thompson-sampling-with-non-conjugate-priors-1708.04781"/></url>
<url><loc>https://scifaro.com/en/abs/starcraft-ii-a-new-challenge-for-reinforcement-learning-1708.04782</loc><lastmod>2017-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/starcraft-ii-a-new-challenge-for-reinforcement-learning-1708.04782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/starcraft-ii-a-new-challenge-for-reinforcement-learning-1708.04782"/></url>
<url><loc>https://scifaro.com/en/abs/bitnet-bit-regularized-deep-neural-networks-1708.04788</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bitnet-bit-regularized-deep-neural-networks-1708.04788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bitnet-bit-regularized-deep-neural-networks-1708.04788"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-parallel-sgd-for-distributed-unbalanced-workload-training-system-1708.04801</loc><lastmod>2017-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-parallel-sgd-for-distributed-unbalanced-workload-training-system-1708.04801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-parallel-sgd-for-distributed-unbalanced-workload-training-system-1708.04801"/></url>
<url><loc>https://scifaro.com/en/abs/fault-in-your-stars-an-analysis-of-android-app-reviews-1708.04968</loc><lastmod>2018-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fault-in-your-stars-an-analysis-of-android-app-reviews-1708.04968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fault-in-your-stars-an-analysis-of-android-app-reviews-1708.04968"/></url>
<url><loc>https://scifaro.com/en/abs/neural-factorization-machines-for-sparse-predictive-analytics-1708.05027</loc><lastmod>2017-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-factorization-machines-for-sparse-predictive-analytics-1708.05027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-factorization-machines-for-sparse-predictive-analytics-1708.05027"/></url>
<url><loc>https://scifaro.com/en/abs/corrupt-bandits-for-preserving-local-privacy-1708.05033</loc><lastmod>2017-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/corrupt-bandits-for-preserving-local-privacy-1708.05033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/corrupt-bandits-for-preserving-local-privacy-1708.05033"/></url>
<url><loc>https://scifaro.com/en/abs/the-mean-and-median-criterion-for-automatic-kernel-bandwidth-selection-for-support-vector-data-description-1708.05106</loc><lastmod>2018-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-mean-and-median-criterion-for-automatic-kernel-bandwidth-selection-for-support-vector-data-description-1708.05106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-mean-and-median-criterion-for-automatic-kernel-bandwidth-selection-for-support-vector-data-description-1708.05106"/></url>
<url><loc>https://scifaro.com/en/abs/deep-cross-network-for-ad-click-predictions-1708.05123</loc><lastmod>2017-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-cross-network-for-ad-click-predictions-1708.05123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-cross-network-for-ad-click-predictions-1708.05123"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-trust-region-method-for-deep-reinforcement-learning-using-kronecker-factored-approximation-1708.05144</loc><lastmod>2017-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-trust-region-method-for-deep-reinforcement-learning-using-kronecker-factored-approximation-1708.05144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-trust-region-method-for-deep-reinforcement-learning-using-kronecker-factored-approximation-1708.05144"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-revisits-in-trajectory-recommendation-1708.05165</loc><lastmod>2017-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-revisits-in-trajectory-recommendation-1708.05165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-revisits-in-trajectory-recommendation-1708.05165"/></url>
<url><loc>https://scifaro.com/en/abs/smash-one-shot-model-architecture-search-through-hypernetworks-1708.05344</loc><lastmod>2017-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smash-one-shot-model-architecture-search-through-hypernetworks-1708.05344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smash-one-shot-model-architecture-search-through-hypernetworks-1708.05344"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-use-of-limited-memory-accelerators-for-linear-learning-on-heterogeneous-systems-1708.05357</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-use-of-limited-memory-accelerators-for-linear-learning-on-heterogeneous-systems-1708.05357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-use-of-limited-memory-accelerators-for-linear-learning-on-heterogeneous-systems-1708.05357"/></url>
<url><loc>https://scifaro.com/en/abs/robust-contextual-bandit-via-the-capped-ell-2-norm-1708.05446</loc><lastmod>2017-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-contextual-bandit-via-the-capped-ell-2-norm-1708.05446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-contextual-bandit-via-the-capped-ell-2-norm-1708.05446"/></url>
<url><loc>https://scifaro.com/en/abs/induction-of-decision-trees-based-on-generalized-graph-queries-1708.05563</loc><lastmod>2017-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/induction-of-decision-trees-based-on-generalized-graph-queries-1708.05563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/induction-of-decision-trees-based-on-generalized-graph-queries-1708.05563"/></url>
<url><loc>https://scifaro.com/en/abs/ladder-a-human-level-bidding-agent-for-large-scale-real-time-online-auctions-1708.05565</loc><lastmod>2017-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ladder-a-human-level-bidding-agent-for-large-scale-real-time-online-auctions-1708.05565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ladder-a-human-level-bidding-agent-for-large-scale-real-time-online-auctions-1708.05565"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-latent-space-approach-for-mixed-data-modelling-and-applications-1708.05594</loc><lastmod>2017-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-latent-space-approach-for-mixed-data-modelling-and-applications-1708.05594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-latent-space-approach-for-mixed-data-modelling-and-applications-1708.05594"/></url>
<url><loc>https://scifaro.com/en/abs/nonnegative-restricted-boltzmann-machines-for-parts-based-representations-discovery-and-predictive-model-stabilization-1708.05603</loc><lastmod>2017-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonnegative-restricted-boltzmann-machines-for-parts-based-representations-discovery-and-predictive-model-stabilization-1708.05603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonnegative-restricted-boltzmann-machines-for-parts-based-representations-discovery-and-predictive-model-stabilization-1708.05603"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-recurrent-neural-network-training-using-sequence-bucketing-and-multi-gpu-data-parallelization-1708.05604</loc><lastmod>2017-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-recurrent-neural-network-training-using-sequence-bucketing-and-multi-gpu-data-parallelization-1708.05604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-recurrent-neural-network-training-using-sequence-bucketing-and-multi-gpu-data-parallelization-1708.05604"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-contextual-multi-armed-bandit-with-a-dominant-objective-1708.05655</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-contextual-multi-armed-bandit-with-a-dominant-objective-1708.05655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-contextual-multi-armed-bandit-with-a-dominant-objective-1708.05655"/></url>
<url><loc>https://scifaro.com/en/abs/analysing-soccer-games-with-clustering-and-conceptors-1708.05821</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysing-soccer-games-with-clustering-and-conceptors-1708.05821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysing-soccer-games-with-clustering-and-conceptors-1708.05821"/></url>
<url><loc>https://scifaro.com/en/abs/a-brief-survey-of-deep-reinforcement-learning-1708.05866</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-brief-survey-of-deep-reinforcement-learning-1708.05866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-brief-survey-of-deep-reinforcement-learning-1708.05866"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-q-network-for-the-beer-game-a-deep-reinforcement-learning-algorithm-to-solve-inventory-optimization-problems-1708.05924</loc><lastmod>2020-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-q-network-for-the-beer-game-a-deep-reinforcement-learning-algorithm-to-solve-inventory-optimization-problems-1708.05924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-q-network-for-the-beer-game-a-deep-reinforcement-learning-algorithm-to-solve-inventory-optimization-problems-1708.05924"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-anomalies-in-groups-with-characterizing-subspace-rules-1708.05929</loc><lastmod>2018-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-anomalies-in-groups-with-characterizing-subspace-rules-1708.05929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-anomalies-in-groups-with-characterizing-subspace-rules-1708.05929"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-primal-dual-proximal-extragradient-descent-for-compositely-regularized-optimization-1708.05978</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-primal-dual-proximal-extragradient-descent-for-compositely-regularized-optimization-1708.05978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-primal-dual-proximal-extragradient-descent-for-compositely-regularized-optimization-1708.05978"/></url>
<url><loc>https://scifaro.com/en/abs/improving-deep-learning-using-generic-data-augmentation-1708.06020</loc><lastmod>2017-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-deep-learning-using-generic-data-augmentation-1708.06020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-deep-learning-using-generic-data-augmentation-1708.06020"/></url>
<url><loc>https://scifaro.com/en/abs/nuts-flow-ml-data-pre-processing-for-deep-learning-1708.06046</loc><lastmod>2018-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nuts-flow-ml-data-pre-processing-for-deep-learning-1708.06046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nuts-flow-ml-data-pre-processing-for-deep-learning-1708.06046"/></url>
<url><loc>https://scifaro.com/en/abs/general-backpropagation-algorithm-for-training-second-order-neural-networks-1708.06243</loc><lastmod>2017-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-backpropagation-algorithm-for-training-second-order-neural-networks-1708.06243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-backpropagation-algorithm-for-training-second-order-neural-networks-1708.06243"/></url>
<url><loc>https://scifaro.com/en/abs/a-flow-model-of-neural-networks-1708.06257</loc><lastmod>2017-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-flow-model-of-neural-networks-1708.06257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-flow-model-of-neural-networks-1708.06257"/></url>
<url><loc>https://scifaro.com/en/abs/safepredict-a-meta-algorithm-for-machine-learning-that-uses-refusals-to-guarantee-correctness-1708.06425</loc><lastmod>2017-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safepredict-a-meta-algorithm-for-machine-learning-that-uses-refusals-to-guarantee-correctness-1708.06425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safepredict-a-meta-algorithm-for-machine-learning-that-uses-refusals-to-guarantee-correctness-1708.06425"/></url>
<url><loc>https://scifaro.com/en/abs/stacked-transfer-learning-for-tropical-cyclone-intensity-prediction-1708.06539</loc><lastmod>2017-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stacked-transfer-learning-for-tropical-cyclone-intensity-prediction-1708.06539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stacked-transfer-learning-for-tropical-cyclone-intensity-prediction-1708.06539"/></url>
<url><loc>https://scifaro.com/en/abs/twin-networks-matching-the-future-for-sequence-generation-1708.06742</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/twin-networks-matching-the-future-for-sequence-generation-1708.06742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/twin-networks-matching-the-future-for-sequence-generation-1708.06742"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-input-structure-and-network-assembly-for-few-shot-learning-1708.06819</loc><lastmod>2017-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-input-structure-and-network-assembly-for-few-shot-learning-1708.06819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-input-structure-and-network-assembly-for-few-shot-learning-1708.06819"/></url>
<url><loc>https://scifaro.com/en/abs/learning-anytime-predictions-in-neural-networks-via-adaptive-loss-balancing-1708.06832</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-anytime-predictions-in-neural-networks-via-adaptive-loss-balancing-1708.06832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-anytime-predictions-in-neural-networks-via-adaptive-loss-balancing-1708.06832"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-neural-network-representations-for-koopman-operators-of-nonlinear-dynamical-systems-1708.06850</loc><lastmod>2017-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-neural-network-representations-for-koopman-operators-of-nonlinear-dynamical-systems-1708.06850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-neural-network-representations-for-koopman-operators-of-nonlinear-dynamical-systems-1708.06850"/></url>
<url><loc>https://scifaro.com/en/abs/is-deep-learning-safe-for-robot-vision-adversarial-examples-against-the-icub-humanoid-1708.06939</loc><lastmod>2017-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-deep-learning-safe-for-robot-vision-adversarial-examples-against-the-icub-humanoid-1708.06939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-deep-learning-safe-for-robot-vision-adversarial-examples-against-the-icub-humanoid-1708.06939"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-learning-of-clique-tree-structure-1708.07025</loc><lastmod>2017-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-learning-of-clique-tree-structure-1708.07025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-learning-of-clique-tree-structure-1708.07025"/></url>
<url><loc>https://scifaro.com/en/abs/scale-invariant-unconstrained-online-learning-1708.07042</loc><lastmod>2017-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scale-invariant-unconstrained-online-learning-1708.07042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scale-invariant-unconstrained-online-learning-1708.07042"/></url>
<url><loc>https://scifaro.com/en/abs/super-convergence-very-fast-training-of-neural-networks-using-large-learning-rates-1708.07120</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/super-convergence-very-fast-training-of-neural-networks-using-large-learning-rates-1708.07120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/super-convergence-very-fast-training-of-neural-networks-using-large-learning-rates-1708.07120"/></url>
<url><loc>https://scifaro.com/en/abs/classification-via-tensor-decompositions-of-echo-state-networks-1708.07147</loc><lastmod>2017-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-via-tensor-decompositions-of-echo-state-networks-1708.07147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-via-tensor-decompositions-of-echo-state-networks-1708.07147"/></url>
<url><loc>https://scifaro.com/en/abs/massively-parallel-feature-selection-for-big-data-1708.07178</loc><lastmod>2017-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/massively-parallel-feature-selection-for-big-data-1708.07178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/massively-parallel-feature-selection-for-big-data-1708.07178"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrapping-the-out-of-sample-predictions-for-efficient-and-accurate-cross-validation-1708.07180</loc><lastmod>2017-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrapping-the-out-of-sample-predictions-for-efficient-and-accurate-cross-validation-1708.07180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrapping-the-out-of-sample-predictions-for-efficient-and-accurate-cross-validation-1708.07180"/></url>
<url><loc>https://scifaro.com/en/abs/proportionate-gradient-updates-with-percentdelta-1708.07227</loc><lastmod>2017-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proportionate-gradient-updates-with-percentdelta-1708.07227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proportionate-gradient-updates-with-percentdelta-1708.07227"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-compressive-power-of-deep-rectifier-networks-for-high-resolution-representation-of-class-boundaries-1708.07244</loc><lastmod>2017-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-compressive-power-of-deep-rectifier-networks-for-high-resolution-representation-of-class-boundaries-1708.07244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-compressive-power-of-deep-rectifier-networks-for-high-resolution-representation-of-class-boundaries-1708.07244"/></url>
<url><loc>https://scifaro.com/en/abs/active-sampling-of-pairs-and-points-for-large-scale-linear-bipartite-ranking-1708.07336</loc><lastmod>2017-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-sampling-of-pairs-and-points-for-large-scale-linear-bipartite-ranking-1708.07336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-sampling-of-pairs-and-points-for-large-scale-linear-bipartite-ranking-1708.07336"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-regression-for-discrete-time-survival-analysis-1708.07436</loc><lastmod>2017-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-regression-for-discrete-time-survival-analysis-1708.07436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-regression-for-discrete-time-survival-analysis-1708.07436"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-parameter-estimation-for-bayesian-network-classifiers-using-hierarchical-dirichlet-processes-1708.07581</loc><lastmod>2018-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-parameter-estimation-for-bayesian-network-classifiers-using-hierarchical-dirichlet-processes-1708.07581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-parameter-estimation-for-bayesian-network-classifiers-using-hierarchical-dirichlet-processes-1708.07581"/></url>
<url><loc>https://scifaro.com/en/abs/a-function-approximation-method-for-model-based-high-dimensional-inverse-reinforcement-learning-1708.07738</loc><lastmod>2017-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-function-approximation-method-for-model-based-high-dimensional-inverse-reinforcement-learning-1708.07738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-function-approximation-method-for-model-based-high-dimensional-inverse-reinforcement-learning-1708.07738"/></url>
<url><loc>https://scifaro.com/en/abs/fashion-mnist-a-novel-image-dataset-for-benchmarking-machine-learning-algorithms-1708.07747</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fashion-mnist-a-novel-image-dataset-for-benchmarking-machine-learning-algorithms-1708.07747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fashion-mnist-a-novel-image-dataset-for-benchmarking-machine-learning-algorithms-1708.07747"/></url>
<url><loc>https://scifaro.com/en/abs/structured-low-rank-matrix-factorization-global-optimality-algorithms-and-applications-1708.07850</loc><lastmod>2017-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-low-rank-matrix-factorization-global-optimality-algorithms-and-applications-1708.07850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-low-rank-matrix-factorization-global-optimality-algorithms-and-applications-1708.07850"/></url>
<url><loc>https://scifaro.com/en/abs/active-expansion-sampling-for-learning-feasible-domains-in-an-unbounded-input-space-1708.07888</loc><lastmod>2018-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-expansion-sampling-for-learning-feasible-domains-in-an-unbounded-input-space-1708.07888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-expansion-sampling-for-learning-feasible-domains-in-an-unbounded-input-space-1708.07888"/></url>
<url><loc>https://scifaro.com/en/abs/robust-task-clustering-for-deep-many-task-learning-1708.07918</loc><lastmod>2018-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-task-clustering-for-deep-many-task-learning-1708.07918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-task-clustering-for-deep-many-task-learning-1708.07918"/></url>
<url><loc>https://scifaro.com/en/abs/m-tsne-a-framework-for-visualizing-high-dimensional-multivariate-time-series-1708.07942</loc><lastmod>2017-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/m-tsne-a-framework-for-visualizing-high-dimensional-multivariate-time-series-1708.07942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/m-tsne-a-framework-for-visualizing-high-dimensional-multivariate-time-series-1708.07942"/></url>
<url><loc>https://scifaro.com/en/abs/sales-forecast-in-e-commerce-using-convolutional-neural-network-1708.07946</loc><lastmod>2017-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sales-forecast-in-e-commerce-using-convolutional-neural-network-1708.07946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sales-forecast-in-e-commerce-using-convolutional-neural-network-1708.07946"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-with-convolutional-neural-networks-for-decoding-and-visualization-of-eeg-pathology-1708.08012</loc><lastmod>2018-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-with-convolutional-neural-networks-for-decoding-and-visualization-of-eeg-pathology-1708.08012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-with-convolutional-neural-networks-for-decoding-and-visualization-of-eeg-pathology-1708.08012"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-in-wireless-sensor-networks-1708.08053</loc><lastmod>2017-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-in-wireless-sensor-networks-1708.08053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-in-wireless-sensor-networks-1708.08053"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mso-definable-hypotheses-on-string-1708.08081</loc><lastmod>2017-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mso-definable-hypotheses-on-string-1708.08081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mso-definable-hypotheses-on-string-1708.08081"/></url>
<url><loc>https://scifaro.com/en/abs/study-of-set-membership-kernel-adaptive-algorithms-and-applications-1708.08142</loc><lastmod>2017-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/study-of-set-membership-kernel-adaptive-algorithms-and-applications-1708.08142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/study-of-set-membership-kernel-adaptive-algorithms-and-applications-1708.08142"/></url>
<url><loc>https://scifaro.com/en/abs/byrdie-byzantine-resilient-distributed-coordinate-descent-for-decentralized-learning-1708.08155</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/byrdie-byzantine-resilient-distributed-coordinate-descent-for-decentralized-learning-1708.08155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/byrdie-byzantine-resilient-distributed-coordinate-descent-for-decentralized-learning-1708.08155"/></url>
<url><loc>https://scifaro.com/en/abs/hyperprior-on-symmetric-dirichlet-distribution-1708.08177</loc><lastmod>2017-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperprior-on-symmetric-dirichlet-distribution-1708.08177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperprior-on-symmetric-dirichlet-distribution-1708.08177"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-decision-trees-for-multi-class-support-vector-machines-using-entropy-and-generalization-error-estimation-1708.08231</loc><lastmod>2017-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-decision-trees-for-multi-class-support-vector-machines-using-entropy-and-generalization-error-estimation-1708.08231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-decision-trees-for-multi-class-support-vector-machines-using-entropy-and-generalization-error-estimation-1708.08231"/></url>
<url><loc>https://scifaro.com/en/abs/open-world-visual-recognition-using-knowledge-graphs-1708.08310</loc><lastmod>2017-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-world-visual-recognition-using-knowledge-graphs-1708.08310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-world-visual-recognition-using-knowledge-graphs-1708.08310"/></url>
<url><loc>https://scifaro.com/en/abs/an-inexact-subsampled-proximal-newton-type-method-for-large-scale-machine-learning-1708.08552</loc><lastmod>2017-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-inexact-subsampled-proximal-newton-type-method-for-large-scale-machine-learning-1708.08552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-inexact-subsampled-proximal-newton-type-method-for-large-scale-machine-learning-1708.08552"/></url>
<url><loc>https://scifaro.com/en/abs/ec3-combining-clustering-and-classification-for-ensemble-learning-1708.08591</loc><lastmod>2017-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ec3-combining-clustering-and-classification-for-ensemble-learning-1708.08591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ec3-combining-clustering-and-classification-for-ensemble-learning-1708.08591"/></url>
<url><loc>https://scifaro.com/en/abs/performance-analysis-of-open-source-machine-learning-frameworks-for-various-parameters-in-single-threaded-and-multi-threaded-modes-1708.08670</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-analysis-of-open-source-machine-learning-frameworks-for-various-parameters-in-single-threaded-and-multi-threaded-modes-1708.08670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-analysis-of-open-source-machine-learning-frameworks-for-various-parameters-in-single-threaded-and-multi-threaded-modes-1708.08670"/></url>
<url><loc>https://scifaro.com/en/abs/towards-poisoning-of-deep-learning-algorithms-with-back-gradient-optimization-1708.08689</loc><lastmod>2017-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-poisoning-of-deep-learning-algorithms-with-back-gradient-optimization-1708.08689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-poisoning-of-deep-learning-algorithms-with-back-gradient-optimization-1708.08689"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-review-and-preliminary-entropy-method-tests-1708.08813</loc><lastmod>2017-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-review-and-preliminary-entropy-method-tests-1708.08813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-review-and-preliminary-entropy-method-tests-1708.08813"/></url>
<url><loc>https://scifaro.com/en/abs/coulomb-gans-provably-optimal-nash-equilibria-via-potential-fields-1708.08819</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coulomb-gans-provably-optimal-nash-equilibria-via-potential-fields-1708.08819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coulomb-gans-provably-optimal-nash-equilibria-via-potential-fields-1708.08819"/></url>
<url><loc>https://scifaro.com/en/abs/deep-convolutional-neural-networks-for-raman-spectrum-recognition-a-unified-solution-1708.09022</loc><lastmod>2018-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-convolutional-neural-networks-for-raman-spectrum-recognition-a-unified-solution-1708.09022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-convolutional-neural-networks-for-raman-spectrum-recognition-a-unified-solution-1708.09022"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-categorization-of-heterogeneous-time-series-data-1708.09121</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-categorization-of-heterogeneous-time-series-data-1708.09121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-categorization-of-heterogeneous-time-series-data-1708.09121"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-convolutional-network-learning-using-parametric-log-based-dual-tree-wavelet-scatternet-1708.09259</loc><lastmod>2017-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-convolutional-network-learning-using-parametric-log-based-dual-tree-wavelet-scatternet-1708.09259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-convolutional-network-learning-using-parametric-log-based-dual-tree-wavelet-scatternet-1708.09259"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-feedback-into-tree-based-anomaly-detection-1708.09441</loc><lastmod>2017-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-feedback-into-tree-based-anomaly-detection-1708.09441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-feedback-into-tree-based-anomaly-detection-1708.09441"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-deep-neural-network-activation-entropy-to-cope-with-unseen-data-in-speech-recognition-1708.09516</loc><lastmod>2017-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-deep-neural-network-activation-entropy-to-cope-with-unseen-data-in-speech-recognition-1708.09516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-deep-neural-network-activation-entropy-to-cope-with-unseen-data-in-speech-recognition-1708.09516"/></url>
<url><loc>https://scifaro.com/en/abs/a-state-space-approach-to-dynamic-nonnegative-matrix-factorization-1709.00025</loc><lastmod>2017-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-state-space-approach-to-dynamic-nonnegative-matrix-factorization-1709.00025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-state-space-approach-to-dynamic-nonnegative-matrix-factorization-1709.00025"/></url>
<url><loc>https://scifaro.com/en/abs/on-security-and-sparsity-of-linear-classifiers-for-adversarial-settings-1709.00045</loc><lastmod>2017-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-security-and-sparsity-of-linear-classifiers-for-adversarial-settings-1709.00045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-security-and-sparsity-of-linear-classifiers-for-adversarial-settings-1709.00045"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-minimal-complexity-functions-in-unsupervised-learning-of-semantic-mappings-1709.00074</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-minimal-complexity-functions-in-unsupervised-learning-of-semantic-mappings-1709.00074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-minimal-complexity-functions-in-unsupervised-learning-of-semantic-mappings-1709.00074"/></url>
<url><loc>https://scifaro.com/en/abs/first-and-second-order-methods-for-online-convolutional-dictionary-learning-1709.00106</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/first-and-second-order-methods-for-online-convolutional-dictionary-learning-1709.00106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/first-and-second-order-methods-for-online-convolutional-dictionary-learning-1709.00106"/></url>
<url><loc>https://scifaro.com/en/abs/a-two-step-disentanglement-method-1709.00199</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-two-step-disentanglement-method-1709.00199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-two-step-disentanglement-method-1709.00199"/></url>
<url><loc>https://scifaro.com/en/abs/training-shallow-and-thin-networks-for-acceleration-via-knowledge-distillation-with-conditional-adversarial-networks-1709.00513</loc><lastmod>2018-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-shallow-and-thin-networks-for-acceleration-via-knowledge-distillation-with-conditional-adversarial-networks-1709.00513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-shallow-and-thin-networks-for-acceleration-via-knowledge-distillation-with-conditional-adversarial-networks-1709.00513"/></url>
<url><loc>https://scifaro.com/en/abs/first-order-adaptive-sample-size-methods-to-reduce-complexity-of-empirical-risk-minimization-1709.00599</loc><lastmod>2017-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/first-order-adaptive-sample-size-methods-to-reduce-complexity-of-empirical-risk-minimization-1709.00599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/first-order-adaptive-sample-size-methods-to-reduce-complexity-of-empirical-risk-minimization-1709.00599"/></url>
<url><loc>https://scifaro.com/en/abs/security-evaluation-of-pattern-classifiers-under-attack-1709.00609</loc><lastmod>2017-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/security-evaluation-of-pattern-classifiers-under-attack-1709.00609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/security-evaluation-of-pattern-classifiers-under-attack-1709.00609"/></url>
<url><loc>https://scifaro.com/en/abs/on-identifiability-of-nonnegative-matrix-factorization-1709.00614</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-identifiability-of-nonnegative-matrix-factorization-1709.00614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-identifiability-of-nonnegative-matrix-factorization-1709.00614"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-with-deep-generative-models-for-asset-failure-prediction-1709.00845</loc><lastmod>2017-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-with-deep-generative-models-for-asset-failure-prediction-1709.00845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-with-deep-generative-models-for-asset-failure-prediction-1709.00845"/></url>
<url><loc>https://scifaro.com/en/abs/a-hierarchical-loss-and-its-problems-when-classifying-non-hierarchically-1709.01062</loc><lastmod>2024-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hierarchical-loss-and-its-problems-when-classifying-non-hierarchically-1709.01062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hierarchical-loss-and-its-problems-when-classifying-non-hierarchically-1709.01062"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-remaining-useful-life-using-time-series-embeddings-based-on-recurrent-neural-networks-1709.01073</loc><lastmod>2017-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-remaining-useful-life-using-time-series-embeddings-based-on-recurrent-neural-networks-1709.01073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-remaining-useful-life-using-time-series-embeddings-based-on-recurrent-neural-networks-1709.01073"/></url>
<url><loc>https://scifaro.com/en/abs/inhomogeneous-hypergraph-clustering-with-applications-1709.01249</loc><lastmod>2017-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inhomogeneous-hypergraph-clustering-with-applications-1709.01249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inhomogeneous-hypergraph-clustering-with-applications-1709.01249"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-the-kernelized-shapelets-theory-and-algorithms-for-local-features-1709.01300</loc><lastmod>2017-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-the-kernelized-shapelets-theory-and-algorithms-for-local-features-1709.01300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-the-kernelized-shapelets-theory-and-algorithms-for-local-features-1709.01300"/></url>
<url><loc>https://scifaro.com/en/abs/a-maximal-heterogeneity-based-clustering-approach-for-obtaining-samples-1709.01423</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-maximal-heterogeneity-based-clustering-approach-for-obtaining-samples-1709.01423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-maximal-heterogeneity-based-clustering-approach-for-obtaining-samples-1709.01423"/></url>
<url><loc>https://scifaro.com/en/abs/a-generic-approach-for-escaping-saddle-points-1709.01434</loc><lastmod>2017-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generic-approach-for-escaping-saddle-points-1709.01434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generic-approach-for-escaping-saddle-points-1709.01434"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-approach-to-increase-classification-accuracy-in-supervised-learning-algorithms-1709.01439</loc><lastmod>2020-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-approach-to-increase-classification-accuracy-in-supervised-learning-algorithms-1709.01439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-approach-to-increase-classification-accuracy-in-supervised-learning-algorithms-1709.01439"/></url>
<url><loc>https://scifaro.com/en/abs/linking-generative-adversarial-learning-and-binary-classification-1709.01509</loc><lastmod>2017-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linking-generative-adversarial-learning-and-binary-classification-1709.01509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linking-generative-adversarial-learning-and-binary-classification-1709.01509"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-deep-learning-risk-prediction-with-generative-adversarial-networks-for-electronic-health-records-1709.01648</loc><lastmod>2017-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-deep-learning-risk-prediction-with-generative-adversarial-networks-for-electronic-health-records-1709.01648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-deep-learning-risk-prediction-with-generative-adversarial-networks-for-electronic-health-records-1709.01648"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-rule-realization-and-selection-1709.01674</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-rule-realization-and-selection-1709.01674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-rule-realization-and-selection-1709.01674"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-pattern-discovery-for-accurate-sepsis-diagnosis-in-icu-patients-1709.01720</loc><lastmod>2017-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-pattern-discovery-for-accurate-sepsis-diagnosis-in-icu-patients-1709.01720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-pattern-discovery-for-accurate-sepsis-diagnosis-in-icu-patients-1709.01720"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-regularization-through-class-wise-invariant-representation-learning-1709.01867</loc><lastmod>2017-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-regularization-through-class-wise-invariant-representation-learning-1709.01867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-regularization-through-class-wise-invariant-representation-learning-1709.01867"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-regularization-in-deep-learning-1709.01953</loc><lastmod>2017-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-regularization-in-deep-learning-1709.01953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-regularization-in-deep-learning-1709.01953"/></url>
<url><loc>https://scifaro.com/en/abs/on-fairness-and-calibration-1709.02012</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-fairness-and-calibration-1709.02012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-fairness-and-calibration-1709.02012"/></url>
<url><loc>https://scifaro.com/en/abs/causalgan-learning-causal-implicit-generative-models-with-adversarial-training-1709.02023</loc><lastmod>2017-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causalgan-learning-causal-implicit-generative-models-with-adversarial-training-1709.02023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causalgan-learning-causal-implicit-generative-models-with-adversarial-training-1709.02023"/></url>
<url><loc>https://scifaro.com/en/abs/formulation-of-deep-reinforcement-learning-architecture-toward-autonomous-driving-for-on-ramp-merge-1709.02066</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/formulation-of-deep-reinforcement-learning-architecture-toward-autonomous-driving-for-on-ramp-merge-1709.02066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/formulation-of-deep-reinforcement-learning-architecture-toward-autonomous-driving-for-on-ramp-merge-1709.02066"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-generative-model-for-gene-expression-profiles-from-single-cell-rna-sequencing-1709.02082</loc><lastmod>2018-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-generative-model-for-gene-expression-profiles-from-single-cell-rna-sequencing-1709.02082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-generative-model-for-gene-expression-profiles-from-single-cell-rna-sequencing-1709.02082"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-specialized-classifiers-based-on-continuous-time-markov-chain-1709.02123</loc><lastmod>2017-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-specialized-classifiers-based-on-continuous-time-markov-chain-1709.02123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-specialized-classifiers-based-on-continuous-time-markov-chain-1709.02123"/></url>
<url><loc>https://scifaro.com/en/abs/basic-filters-for-convolutional-neural-networks-applied-to-music-training-or-design-1709.02291</loc><lastmod>2018-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/basic-filters-for-convolutional-neural-networks-applied-to-music-training-or-design-1709.02291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/basic-filters-for-convolutional-neural-networks-applied-to-music-training-or-design-1709.02291"/></url>
<url><loc>https://scifaro.com/en/abs/answering-visual-relational-queries-in-web-extracted-knowledge-graphs-1709.02314</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/answering-visual-relational-queries-in-web-extracted-knowledge-graphs-1709.02314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/answering-visual-relational-queries-in-web-extracted-knowledge-graphs-1709.02314"/></url>
<url><loc>https://scifaro.com/en/abs/how-does-knowledge-of-the-auc-constrain-the-set-of-possible-ground-truth-labelings-1709.02418</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-does-knowledge-of-the-auc-constrain-the-set-of-possible-ground-truth-labelings-1709.02418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-does-knowledge-of-the-auc-constrain-the-set-of-possible-ground-truth-labelings-1709.02418"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-the-physics-of-transport-phenomena-1709.02432</loc><lastmod>2017-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-the-physics-of-transport-phenomena-1709.02432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-the-physics-of-transport-phenomena-1709.02432"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-generative-model-structure-with-static-analysis-1709.02477</loc><lastmod>2017-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-generative-model-structure-with-static-analysis-1709.02477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-generative-model-structure-with-static-analysis-1709.02477"/></url>
<url><loc>https://scifaro.com/en/abs/mirror-descent-search-and-its-acceleration-1709.02535</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mirror-descent-search-and-its-acceleration-1709.02535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mirror-descent-search-and-its-acceleration-1709.02535"/></url>
<url><loc>https://scifaro.com/en/abs/the-expressive-power-of-neural-networks-a-view-from-the-width-1709.02540</loc><lastmod>2017-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-expressive-power-of-neural-networks-a-view-from-the-width-1709.02540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-expressive-power-of-neural-networks-a-view-from-the-width-1709.02540"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-quadrature-for-kernel-features-1709.02605</loc><lastmod>2018-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-quadrature-for-kernel-features-1709.02605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-quadrature-for-kernel-features-1709.02605"/></url>
<url><loc>https://scifaro.com/en/abs/deep-packet-a-novel-approach-for-encrypted-traffic-classification-using-deep-learning-1709.02656</loc><lastmod>2018-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-packet-a-novel-approach-for-encrypted-traffic-classification-using-deep-learning-1709.02656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-packet-a-novel-approach-for-encrypted-traffic-classification-using-deep-learning-1709.02656"/></url>
<url><loc>https://scifaro.com/en/abs/multi-level-feedback-web-links-selection-problem-learning-and-optimization-1709.02664</loc><lastmod>2017-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-level-feedback-web-links-selection-problem-learning-and-optimization-1709.02664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-level-feedback-web-links-selection-problem-learning-and-optimization-1709.02664"/></url>
<url><loc>https://scifaro.com/en/abs/learning-populations-of-parameters-1709.02707</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-populations-of-parameters-1709.02707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-populations-of-parameters-1709.02707"/></url>
<url><loc>https://scifaro.com/en/abs/a-modular-analysis-of-adaptive-non-convex-optimization-optimism-composite-objectives-and-variational-bounds-1709.02726</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-modular-analysis-of-adaptive-non-convex-optimization-optimism-composite-objectives-and-variational-bounds-1709.02726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-modular-analysis-of-adaptive-non-convex-optimization-optimism-composite-objectives-and-variational-bounds-1709.02726"/></url>
<url><loc>https://scifaro.com/en/abs/goowe-geometrically-optimum-and-online-weighted-ensemble-classifier-for-evolving-data-streams-1709.02800</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/goowe-geometrically-optimum-and-online-weighted-ensemble-classifier-for-evolving-data-streams-1709.02800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/goowe-geometrically-optimum-and-online-weighted-ensemble-classifier-for-evolving-data-streams-1709.02800"/></url>
<url><loc>https://scifaro.com/en/abs/towards-proving-the-adversarial-robustness-of-deep-neural-networks-1709.02802</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-proving-the-adversarial-robustness-of-deep-neural-networks-1709.02802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-proving-the-adversarial-robustness-of-deep-neural-networks-1709.02802"/></url>
<url><loc>https://scifaro.com/en/abs/a-brief-introduction-to-machine-learning-for-engineers-1709.02840</loc><lastmod>2018-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-brief-introduction-to-machine-learning-for-engineers-1709.02840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-brief-introduction-to-machine-learning-for-engineers-1709.02840"/></url>
<url><loc>https://scifaro.com/en/abs/tensorflow-agents-efficient-batched-reinforcement-learning-in-tensorflow-1709.02878</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensorflow-agents-efficient-batched-reinforcement-learning-in-tensorflow-1709.02878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensorflow-agents-efficient-batched-reinforcement-learning-in-tensorflow-1709.02878"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-dictionary-learning-a-comparative-review-and-new-algorithms-1709.02893</loc><lastmod>2018-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-dictionary-learning-a-comparative-review-and-new-algorithms-1709.02893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-dictionary-learning-a-comparative-review-and-new-algorithms-1709.02893"/></url>
<url><loc>https://scifaro.com/en/abs/less-is-more-a-comprehensive-framework-for-the-number-of-components-of-ensemble-classifiers-1709.02925</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/less-is-more-a-comprehensive-framework-for-the-number-of-components-of-ensemble-classifiers-1709.02925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/less-is-more-a-comprehensive-framework-for-the-number-of-components-of-ensemble-classifiers-1709.02925"/></url>
<url><loc>https://scifaro.com/en/abs/deep-residual-networks-and-weight-initialization-1709.02956</loc><lastmod>2017-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-residual-networks-and-weight-initialization-1709.02956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-residual-networks-and-weight-initialization-1709.02956"/></url>
<url><loc>https://scifaro.com/en/abs/rdeepsense-reliable-deep-mobile-computing-models-with-uncertainty-estimations-1709.02980</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rdeepsense-reliable-deep-mobile-computing-models-with-uncertainty-estimations-1709.02980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rdeepsense-reliable-deep-mobile-computing-models-with-uncertainty-estimations-1709.02980"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-irregular-power-usage-by-turning-predictions-into-holographic-spatial-visualizations-1709.03008</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-irregular-power-usage-by-turning-predictions-into-holographic-spatial-visualizations-1709.03008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-irregular-power-usage-by-turning-predictions-into-holographic-spatial-visualizations-1709.03008"/></url>
<url><loc>https://scifaro.com/en/abs/classifying-unordered-feature-sets-with-convolutional-deep-averaging-networks-1709.03019</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifying-unordered-feature-sets-with-convolutional-deep-averaging-networks-1709.03019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifying-unordered-feature-sets-with-convolutional-deep-averaging-networks-1709.03019"/></url>
<url><loc>https://scifaro.com/en/abs/robust-sparse-coding-via-self-paced-learning-1709.03030</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-sparse-coding-via-self-paced-learning-1709.03030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-sparse-coding-via-self-paced-learning-1709.03030"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-online-linear-optimization-with-approximation-algorithms-1709.03093</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-online-linear-optimization-with-approximation-algorithms-1709.03093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-online-linear-optimization-with-approximation-algorithms-1709.03093"/></url>
<url><loc>https://scifaro.com/en/abs/mbmf-model-based-priors-for-model-free-reinforcement-learning-1709.03153</loc><lastmod>2017-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mbmf-model-based-priors-for-model-free-reinforcement-learning-1709.03153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mbmf-model-based-priors-for-model-free-reinforcement-learning-1709.03153"/></url>
<url><loc>https://scifaro.com/en/abs/r2n2-residual-recurrent-neural-networks-for-multivariate-time-series-forecasting-1709.03159</loc><lastmod>2017-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/r2n2-residual-recurrent-neural-networks-for-multivariate-time-series-forecasting-1709.03159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/r2n2-residual-recurrent-neural-networks-for-multivariate-time-series-forecasting-1709.03159"/></url>
<url><loc>https://scifaro.com/en/abs/on-better-training-the-infinite-restricted-boltzmann-machines-1709.03239</loc><lastmod>2018-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-better-training-the-infinite-restricted-boltzmann-machines-1709.03239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-better-training-the-infinite-restricted-boltzmann-machines-1709.03239"/></url>
<url><loc>https://scifaro.com/en/abs/the-diverse-cohort-selection-problem-1709.03441</loc><lastmod>2019-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-diverse-cohort-selection-problem-1709.03441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-diverse-cohort-selection-problem-1709.03441"/></url>
<url><loc>https://scifaro.com/en/abs/giant-globally-improved-approximate-newton-method-for-distributed-optimization-1709.03528</loc><lastmod>2018-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/giant-globally-improved-approximate-newton-method-for-distributed-optimization-1709.03528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/giant-globally-improved-approximate-newton-method-for-distributed-optimization-1709.03528"/></url>
<url><loc>https://scifaro.com/en/abs/false-arrhythmia-alarm-reduction-in-the-intensive-care-unit-1709.03562</loc><lastmod>2017-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/false-arrhythmia-alarm-reduction-in-the-intensive-care-unit-1709.03562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/false-arrhythmia-alarm-reduction-in-the-intensive-care-unit-1709.03562"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-in-hierarchical-data-streams-under-unknown-models-1709.03573</loc><lastmod>2017-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-in-hierarchical-data-streams-under-unknown-models-1709.03573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-in-hierarchical-data-streams-under-unknown-models-1709.03573"/></url>
<url><loc>https://scifaro.com/en/abs/budgeted-experiment-design-for-causal-structure-learning-1709.03625</loc><lastmod>2018-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/budgeted-experiment-design-for-causal-structure-learning-1709.03625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/budgeted-experiment-design-for-causal-structure-learning-1709.03625"/></url>
<url><loc>https://scifaro.com/en/abs/a-denoising-loss-bound-for-neural-network-based-universal-discrete-denoisers-1709.03657</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-denoising-loss-bound-for-neural-network-based-universal-discrete-denoisers-1709.03657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-denoising-loss-bound-for-neural-network-based-universal-discrete-denoisers-1709.03657"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-graph-embedding-with-hub-detection-for-brain-network-analysis-1709.03659</loc><lastmod>2017-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-graph-embedding-with-hub-detection-for-brain-network-analysis-1709.03659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-graph-embedding-with-hub-detection-for-brain-network-analysis-1709.03659"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-near-neighbor-interaction-of-high-dimensional-data-via-hierarchical-clustering-1709.03671</loc><lastmod>2017-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-near-neighbor-interaction-of-high-dimensional-data-via-hierarchical-clustering-1709.03671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-near-neighbor-interaction-of-high-dimensional-data-via-hierarchical-clustering-1709.03671"/></url>
<url><loc>https://scifaro.com/en/abs/a-practically-competitive-and-provably-consistent-algorithm-for-uplift-modeling-1709.03683</loc><lastmod>2017-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-practically-competitive-and-provably-consistent-algorithm-for-uplift-modeling-1709.03683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-practically-competitive-and-provably-consistent-algorithm-for-uplift-modeling-1709.03683"/></url>
<url><loc>https://scifaro.com/en/abs/rra-recurrent-residual-attention-for-sequence-learning-1709.03714</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rra-recurrent-residual-attention-for-sequence-learning-1709.03714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rra-recurrent-residual-attention-for-sequence-learning-1709.03714"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-graph-signal-processing-algorithms-and-optimal-sampling-strategies-1709.03726</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-graph-signal-processing-algorithms-and-optimal-sampling-strategies-1709.03726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-graph-signal-processing-algorithms-and-optimal-sampling-strategies-1709.03726"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-shared-deep-learning-models-via-explicable-boundary-trees-1709.03730</loc><lastmod>2017-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-shared-deep-learning-models-via-explicable-boundary-trees-1709.03730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-shared-deep-learning-models-via-explicable-boundary-trees-1709.03730"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graph-level-representation-for-drug-discovery-1709.03741</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graph-level-representation-for-drug-discovery-1709.03741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graph-level-representation-for-drug-discovery-1709.03741"/></url>
<url><loc>https://scifaro.com/en/abs/dual-discriminator-generative-adversarial-nets-1709.03831</loc><lastmod>2017-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-discriminator-generative-adversarial-nets-1709.03831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-discriminator-generative-adversarial-nets-1709.03831"/></url>
<url><loc>https://scifaro.com/en/abs/imitation-learning-for-vision-based-lane-keeping-assistance-1709.03853</loc><lastmod>2017-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitation-learning-for-vision-based-lane-keeping-assistance-1709.03853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitation-learning-for-vision-based-lane-keeping-assistance-1709.03853"/></url>
<url><loc>https://scifaro.com/en/abs/agnostic-learning-by-refuting-1709.03871</loc><lastmod>2017-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agnostic-learning-by-refuting-1709.03871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agnostic-learning-by-refuting-1709.03871"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-dependency-structure-learning-for-physical-processes-1709.03891</loc><lastmod>2017-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-dependency-structure-learning-for-physical-processes-1709.03891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-dependency-structure-learning-for-physical-processes-1709.03891"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-with-surrogate-agent-environment-interface-1709.03942</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-surrogate-agent-environment-interface-1709.03942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-surrogate-agent-environment-interface-1709.03942"/></url>
<url><loc>https://scifaro.com/en/abs/support-spinor-machine-1709.03943</loc><lastmod>2017-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-spinor-machine-1709.03943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-spinor-machine-1709.03943"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-exploration-exploitation-tradeoff-for-opportunistic-bandits-1709.04004</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-exploration-exploitation-tradeoff-for-opportunistic-bandits-1709.04004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-exploration-exploitation-tradeoff-for-opportunistic-bandits-1709.04004"/></url>
<url><loc>https://scifaro.com/en/abs/variational-reasoning-for-question-answering-with-knowledge-graph-1709.04071</loc><lastmod>2017-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-reasoning-for-question-answering-with-knowledge-graph-1709.04071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-reasoning-for-question-answering-with-knowledge-graph-1709.04071"/></url>
<url><loc>https://scifaro.com/en/abs/linear-stochastic-approximation-constant-step-size-and-iterate-averaging-1709.04073</loc><lastmod>2017-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-stochastic-approximation-constant-step-size-and-iterate-averaging-1709.04073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-stochastic-approximation-constant-step-size-and-iterate-averaging-1709.04073"/></url>
<url><loc>https://scifaro.com/en/abs/pre-training-neural-networks-with-human-demonstrations-for-deep-reinforcement-learning-1709.04083</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pre-training-neural-networks-with-human-demonstrations-for-deep-reinforcement-learning-1709.04083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pre-training-neural-networks-with-human-demonstrations-for-deep-reinforcement-learning-1709.04083"/></url>
<url><loc>https://scifaro.com/en/abs/hitfraud-a-broad-learning-approach-for-collective-fraud-detection-in-heterogeneous-information-networks-1709.04129</loc><lastmod>2017-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hitfraud-a-broad-learning-approach-for-collective-fraud-detection-in-heterogeneous-information-networks-1709.04129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hitfraud-a-broad-learning-approach-for-collective-fraud-detection-in-heterogeneous-information-networks-1709.04129"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-exponential-weighting-for-online-non-convex-optimization-1709.04136</loc><lastmod>2017-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-exponential-weighting-for-online-non-convex-optimization-1709.04136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-exponential-weighting-for-online-non-convex-optimization-1709.04136"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-mixture-of-generative-neural-networks-1709.04514</loc><lastmod>2018-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-mixture-of-generative-neural-networks-1709.04514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-mixture-of-generative-neural-networks-1709.04514"/></url>
<url><loc>https://scifaro.com/en/abs/normalized-direction-preserving-adam-1709.04546</loc><lastmod>2018-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalized-direction-preserving-adam-1709.04546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalized-direction-preserving-adam-1709.04546"/></url>
<url><loc>https://scifaro.com/en/abs/ignoring-distractors-in-the-absence-of-labels-optimal-linear-projection-to-remove-false-positives-during-anomaly-detection-1709.04549</loc><lastmod>2017-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ignoring-distractors-in-the-absence-of-labels-optimal-linear-projection-to-remove-false-positives-during-anomaly-detection-1709.04549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ignoring-distractors-in-the-absence-of-labels-optimal-linear-projection-to-remove-false-positives-during-anomaly-detection-1709.04549"/></url>
<url><loc>https://scifaro.com/en/abs/molte-a-modular-optimal-learning-testing-environment-1709.04553</loc><lastmod>2017-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molte-a-modular-optimal-learning-testing-environment-1709.04553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molte-a-modular-optimal-learning-testing-environment-1709.04553"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-organic-reaction-outcomes-with-weisfeiler-lehman-network-1709.04555</loc><lastmod>2018-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-organic-reaction-outcomes-with-weisfeiler-lehman-network-1709.04555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-organic-reaction-outcomes-with-weisfeiler-lehman-network-1709.04555"/></url>
<url><loc>https://scifaro.com/en/abs/learning-unknown-markov-decision-processes-a-thompson-sampling-approach-1709.04570</loc><lastmod>2017-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-unknown-markov-decision-processes-a-thompson-sampling-approach-1709.04570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-unknown-markov-decision-processes-a-thompson-sampling-approach-1709.04570"/></url>
<url><loc>https://scifaro.com/en/abs/on-multi-relational-link-prediction-with-bilinear-models-1709.04808</loc><lastmod>2017-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-multi-relational-link-prediction-with-bilinear-models-1709.04808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-multi-relational-link-prediction-with-bilinear-models-1709.04808"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-graph-convolutional-networks-a-deep-learning-framework-for-traffic-forecasting-1709.04875</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-graph-convolutional-networks-a-deep-learning-framework-for-traffic-forecasting-1709.04875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-graph-convolutional-networks-a-deep-learning-framework-for-traffic-forecasting-1709.04875"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-networks-for-spherical-signals-1709.04893</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-networks-for-spherical-signals-1709.04893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-networks-for-spherical-signals-1709.04893"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-visual-imitation-learning-via-meta-learning-1709.04905</loc><lastmod>2017-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-visual-imitation-learning-via-meta-learning-1709.04905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-visual-imitation-learning-via-meta-learning-1709.04905"/></url>
<url><loc>https://scifaro.com/en/abs/shared-learning-enhancing-reinforcement-in-q-ensembles-1709.04909</loc><lastmod>2017-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shared-learning-enhancing-reinforcement-in-q-ensembles-1709.04909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shared-learning-enhancing-reinforcement-in-q-ensembles-1709.04909"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-pricing-in-competitive-markets-1709.04960</loc><lastmod>2017-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-pricing-in-competitive-markets-1709.04960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-pricing-in-competitive-markets-1709.04960"/></url>
<url><loc>https://scifaro.com/en/abs/learning-intrinsic-sparse-structures-within-long-short-term-memory-1709.05027</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-intrinsic-sparse-structures-within-long-short-term-memory-1709.05027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-intrinsic-sparse-structures-within-long-short-term-memory-1709.05027"/></url>
<url><loc>https://scifaro.com/en/abs/disentangled-variational-auto-encoder-for-semi-supervised-learning-1709.05047</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-variational-auto-encoder-for-semi-supervised-learning-1709.05047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-variational-auto-encoder-for-semi-supervised-learning-1709.05047"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-sgd-for-distributed-deep-learning-using-approximated-hessian-matrix-1709.05069</loc><lastmod>2017-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-sgd-for-distributed-deep-learning-using-approximated-hessian-matrix-1709.05069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-sgd-for-distributed-deep-learning-using-approximated-hessian-matrix-1709.05069"/></url>
<url><loc>https://scifaro.com/en/abs/shapechanger-environments-for-transfer-learning-1709.05070</loc><lastmod>2017-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shapechanger-environments-for-transfer-learning-1709.05070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shapechanger-environments-for-transfer-learning-1709.05070"/></url>
<url><loc>https://scifaro.com/en/abs/trend-detection-based-regret-minimization-for-bandit-problems-1709.05156</loc><lastmod>2017-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trend-detection-based-regret-minimization-for-bandit-problems-1709.05156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trend-detection-based-regret-minimization-for-bandit-problems-1709.05156"/></url>
<url><loc>https://scifaro.com/en/abs/lstm-fully-convolutional-networks-for-time-series-classification-1709.05206</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lstm-fully-convolutional-networks-for-time-series-classification-1709.05206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lstm-fully-convolutional-networks-for-time-series-classification-1709.05206"/></url>
<url><loc>https://scifaro.com/en/abs/a-generic-framework-for-interesting-subspace-cluster-detection-in-multi-attributed-networks-1709.05246</loc><lastmod>2018-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generic-framework-for-interesting-subspace-cluster-detection-in-multi-attributed-networks-1709.05246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generic-framework-for-interesting-subspace-cluster-detection-in-multi-attributed-networks-1709.05246"/></url>
<url><loc>https://scifaro.com/en/abs/detection-of-anomalies-in-large-scale-accounting-data-using-deep-autoencoder-networks-1709.05254</loc><lastmod>2018-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-of-anomalies-in-large-scale-accounting-data-using-deep-autoencoder-networks-1709.05254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-of-anomalies-in-large-scale-accounting-data-using-deep-autoencoder-networks-1709.05254"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-for-a-water-treatment-system-using-unsupervised-machine-learning-1709.05342</loc><lastmod>2017-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-for-a-water-treatment-system-using-unsupervised-machine-learning-1709.05342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-for-a-water-treatment-system-using-unsupervised-machine-learning-1709.05342"/></url>
<url><loc>https://scifaro.com/en/abs/road-friction-estimation-for-connected-vehicles-using-supervised-machine-learning-1709.05379</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/road-friction-estimation-for-connected-vehicles-using-supervised-machine-learning-1709.05379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/road-friction-estimation-for-connected-vehicles-using-supervised-machine-learning-1709.05379"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-distributed-lifelong-learning-for-collective-knowledge-acquisition-1709.05412</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-distributed-lifelong-learning-for-collective-knowledge-acquisition-1709.05412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-distributed-lifelong-learning-for-collective-knowledge-acquisition-1709.05412"/></url>
<url><loc>https://scifaro.com/en/abs/deep-scattering-rendering-atmospheric-clouds-with-radiance-predicting-neural-networks-1709.05418</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-scattering-rendering-atmospheric-clouds-with-radiance-predicting-neural-networks-1709.05418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-scattering-rendering-atmospheric-clouds-with-radiance-predicting-neural-networks-1709.05418"/></url>
<url><loc>https://scifaro.com/en/abs/grade-prediction-with-temporal-course-wise-influence-1709.05433</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grade-prediction-with-temporal-course-wise-influence-1709.05433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grade-prediction-with-temporal-course-wise-influence-1709.05433"/></url>
<url><loc>https://scifaro.com/en/abs/deep-automated-multi-task-learning-1709.05554</loc><lastmod>2017-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-automated-multi-task-learning-1709.05554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-automated-multi-task-learning-1709.05554"/></url>
<url><loc>https://scifaro.com/en/abs/multinet-multi-modal-multi-task-learning-for-autonomous-driving-1709.05581</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multinet-multi-modal-multi-task-learning-for-autonomous-driving-1709.05581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multinet-multi-modal-multi-task-learning-for-autonomous-driving-1709.05581"/></url>
<url><loc>https://scifaro.com/en/abs/multi-entity-dependence-learning-with-rich-context-via-conditional-variational-auto-encoder-1709.05612</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-entity-dependence-learning-with-rich-context-via-conditional-variational-auto-encoder-1709.05612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-entity-dependence-learning-with-rich-context-via-conditional-variational-auto-encoder-1709.05612"/></url>
<url><loc>https://scifaro.com/en/abs/on-inductive-abilities-of-latent-factor-models-for-relational-learning-1709.05666</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-inductive-abilities-of-latent-factor-models-for-relational-learning-1709.05666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-inductive-abilities-of-latent-factor-models-for-relational-learning-1709.05666"/></url>
<url><loc>https://scifaro.com/en/abs/flashprofile-a-framework-for-synthesizing-data-profiles-1709.05725</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flashprofile-a-framework-for-synthesizing-data-profiles-1709.05725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flashprofile-a-framework-for-synthesizing-data-profiles-1709.05725"/></url>
<url><loc>https://scifaro.com/en/abs/minimal-effort-back-propagation-for-convolutional-neural-networks-1709.05804</loc><lastmod>2017-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimal-effort-back-propagation-for-convolutional-neural-networks-1709.05804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimal-effort-back-propagation-for-convolutional-neural-networks-1709.05804"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoder-driven-weather-clustering-for-source-estimation-during-nuclear-events-1709.05840</loc><lastmod>2018-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoder-driven-weather-clustering-for-source-estimation-during-nuclear-events-1709.05840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoder-driven-weather-clustering-for-source-estimation-during-nuclear-events-1709.05840"/></url>
<url><loc>https://scifaro.com/en/abs/why-pay-more-when-you-can-pay-less-a-joint-learning-framework-for-active-feature-acquisition-and-classification-1709.05964</loc><lastmod>2017-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-pay-more-when-you-can-pay-less-a-joint-learning-framework-for-active-feature-acquisition-and-classification-1709.05964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-pay-more-when-you-can-pay-less-a-joint-learning-framework-for-active-feature-acquisition-and-classification-1709.05964"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-distributional-semantics-for-multi-label-learning-1709.05976</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-distributional-semantics-for-multi-label-learning-1709.05976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-distributional-semantics-for-multi-label-learning-1709.05976"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-the-arcade-learning-environment-evaluation-protocols-and-open-problems-for-general-agents-1709.06009</loc><lastmod>2017-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-the-arcade-learning-environment-evaluation-protocols-and-open-problems-for-general-agents-1709.06009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-the-arcade-learning-environment-evaluation-protocols-and-open-problems-for-general-agents-1709.06009"/></url>
<url><loc>https://scifaro.com/en/abs/n2n-learning-network-to-network-compression-via-policy-gradient-reinforcement-learning-1709.06030</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/n2n-learning-network-to-network-compression-via-policy-gradient-reinforcement-learning-1709.06030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/n2n-learning-network-to-network-compression-via-policy-gradient-reinforcement-learning-1709.06030"/></url>
<url><loc>https://scifaro.com/en/abs/deep-graph-attention-model-1709.06075</loc><lastmod>2017-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-graph-attention-model-1709.06075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-graph-attention-model-1709.06075"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-energy-consumption-based-on-resource-utilization-1709.06076</loc><lastmod>2017-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-energy-consumption-based-on-resource-utilization-1709.06076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-energy-consumption-based-on-resource-utilization-1709.06076"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-weight-normalization-solution-to-optimization-over-multiple-dependent-stiefel-manifolds-in-deep-neural-networks-1709.06079</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-weight-normalization-solution-to-optimization-over-multiple-dependent-stiefel-manifolds-in-deep-neural-networks-1709.06079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-weight-normalization-solution-to-optimization-over-multiple-dependent-stiefel-manifolds-in-deep-neural-networks-1709.06079"/></url>
<url><loc>https://scifaro.com/en/abs/feedforward-and-recurrent-neural-networks-backward-propagation-and-hessian-in-matrix-form-1709.06080</loc><lastmod>2017-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feedforward-and-recurrent-neural-networks-backward-propagation-and-hessian-in-matrix-form-1709.06080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feedforward-and-recurrent-neural-networks-backward-propagation-and-hessian-in-matrix-form-1709.06080"/></url>
<url><loc>https://scifaro.com/en/abs/when-is-a-convolutional-filter-easy-to-learn-1709.06129</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-is-a-convolutional-filter-easy-to-learn-1709.06129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-is-a-convolutional-filter-easy-to-learn-1709.06129"/></url>
<url><loc>https://scifaro.com/en/abs/privynet-a-flexible-framework-for-privacy-preserving-deep-neural-network-training-1709.06161</loc><lastmod>2018-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privynet-a-flexible-framework-for-privacy-preserving-deep-neural-network-training-1709.06161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privynet-a-flexible-framework-for-privacy-preserving-deep-neural-network-training-1709.06161"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-markov-decision-processes-with-causal-sparse-tsallis-entropy-regularization-for-reinforcement-learning-1709.06293</loc><lastmod>2017-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-markov-decision-processes-with-causal-sparse-tsallis-entropy-regularization-for-reinforcement-learning-1709.06293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-markov-decision-processes-with-causal-sparse-tsallis-entropy-regularization-for-reinforcement-learning-1709.06293"/></url>
<url><loc>https://scifaro.com/en/abs/analogical-based-bayesian-optimization-1709.06390</loc><lastmod>2017-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analogical-based-bayesian-optimization-1709.06390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analogical-based-bayesian-optimization-1709.06390"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-support-vector-clustering-using-budget-1709.06444</loc><lastmod>2017-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-support-vector-clustering-using-budget-1709.06444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-support-vector-clustering-using-budget-1709.06444"/></url>
<url><loc>https://scifaro.com/en/abs/summable-reparameterizations-of-wasserstein-critics-in-the-one-dimensional-setting-1709.06533</loc><lastmod>2017-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/summable-reparameterizations-of-wasserstein-critics-in-the-one-dimensional-setting-1709.06533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/summable-reparameterizations-of-wasserstein-critics-in-the-one-dimensional-setting-1709.06533"/></url>
<url><loc>https://scifaro.com/en/abs/triangle-generative-adversarial-networks-1709.06548</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/triangle-generative-adversarial-networks-1709.06548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/triangle-generative-adversarial-networks-1709.06548"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-that-matters-1709.06560</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-that-matters-1709.06560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-that-matters-1709.06560"/></url>
<url><loc>https://scifaro.com/en/abs/a-pac-bayesian-analysis-of-randomized-learning-with-application-to-stochastic-gradient-descent-1709.06617</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pac-bayesian-analysis-of-randomized-learning-with-application-to-stochastic-gradient-descent-1709.06617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pac-bayesian-analysis-of-randomized-learning-with-application-to-stochastic-gradient-descent-1709.06617"/></url>
<url><loc>https://scifaro.com/en/abs/optiongan-learning-joint-reward-policy-options-using-generative-adversarial-inverse-reinforcement-learning-1709.06683</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optiongan-learning-joint-reward-policy-options-using-generative-adversarial-inverse-reinforcement-learning-1709.06683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optiongan-learning-joint-reward-policy-options-using-generative-adversarial-inverse-reinforcement-learning-1709.06683"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-of-a-memory-for-learning-rates-1709.06709</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-of-a-memory-for-learning-rates-1709.06709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-of-a-memory-for-learning-rates-1709.06709"/></url>
<url><loc>https://scifaro.com/en/abs/stock-out-prediction-in-multi-echelon-networks-1709.06922</loc><lastmod>2018-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stock-out-prediction-in-multi-echelon-networks-1709.06922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stock-out-prediction-in-multi-echelon-networks-1709.06922"/></url>
<url><loc>https://scifaro.com/en/abs/structured-probabilistic-pruning-for-convolutional-neural-network-acceleration-1709.06994</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-probabilistic-pruning-for-convolutional-neural-network-acceleration-1709.06994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-probabilistic-pruning-for-convolutional-neural-network-acceleration-1709.06994"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-sketching-of-low-rank-tensor-regression-1709.07093</loc><lastmod>2017-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-sketching-of-low-rank-tensor-regression-1709.07093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-sketching-of-low-rank-tensor-regression-1709.07093"/></url>
<url><loc>https://scifaro.com/en/abs/variational-memory-addressing-in-generative-models-1709.07116</loc><lastmod>2017-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-memory-addressing-in-generative-models-1709.07116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-memory-addressing-in-generative-models-1709.07116"/></url>
<url><loc>https://scifaro.com/en/abs/learning-rbm-with-a-dc-programming-approach-1709.07149</loc><lastmod>2017-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-rbm-with-a-dc-programming-approach-1709.07149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-rbm-with-a-dc-programming-approach-1709.07149"/></url>
<url><loc>https://scifaro.com/en/abs/spectralleader-online-spectral-learning-for-single-topic-models-1709.07172</loc><lastmod>2018-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectralleader-online-spectral-learning-for-single-topic-models-1709.07172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectralleader-online-spectral-learning-for-single-topic-models-1709.07172"/></url>
<url><loc>https://scifaro.com/en/abs/exact-learning-of-lightweight-description-logic-ontologies-1709.07314</loc><lastmod>2017-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-learning-of-lightweight-description-logic-ontologies-1709.07314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-learning-of-lightweight-description-logic-ontologies-1709.07314"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-smote-effective-oversampling-for-imbalanced-learning-through-a-geometric-extension-of-smote-1709.07377</loc><lastmod>2017-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-smote-effective-oversampling-for-imbalanced-learning-through-a-geometric-extension-of-smote-1709.07377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-smote-effective-oversampling-for-imbalanced-learning-through-a-geometric-extension-of-smote-1709.07377"/></url>
<url><loc>https://scifaro.com/en/abs/attention-based-mixture-density-recurrent-networks-for-history-based-recommendation-1709.07545</loc><lastmod>2017-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-based-mixture-density-recurrent-networks-for-history-based-recommendation-1709.07545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-based-mixture-density-recurrent-networks-for-history-based-recommendation-1709.07545"/></url>
<url><loc>https://scifaro.com/en/abs/computation-error-analysis-of-block-floating-point-arithmetic-oriented-convolution-neural-network-accelerator-design-1709.07776</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computation-error-analysis-of-block-floating-point-arithmetic-oriented-convolution-neural-network-accelerator-design-1709.07776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computation-error-analysis-of-block-floating-point-arithmetic-oriented-convolution-neural-network-accelerator-design-1709.07776"/></url>
<url><loc>https://scifaro.com/en/abs/using-simulation-and-domain-adaptation-to-improve-efficiency-of-deep-robotic-grasping-1709.07857</loc><lastmod>2017-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-simulation-and-domain-adaptation-to-improve-efficiency-of-deep-robotic-grasping-1709.07857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-simulation-and-domain-adaptation-to-improve-efficiency-of-deep-robotic-grasping-1709.07857"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-discrimination-power-and-effective-utilization-of-active-learning-measures-in-version-space-search-1709.07899</loc><lastmod>2017-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-discrimination-power-and-effective-utilization-of-active-learning-measures-in-version-space-search-1709.07899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-discrimination-power-and-effective-utilization-of-active-learning-measures-in-version-space-search-1709.07899"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-disentangled-and-interpretable-representations-from-sequential-data-1709.07902</loc><lastmod>2017-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-disentangled-and-interpretable-representations-from-sequential-data-1709.07902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-disentangled-and-interpretable-representations-from-sequential-data-1709.07902"/></url>
<url><loc>https://scifaro.com/en/abs/avoidance-of-manual-labeling-in-robotic-autonomous-navigation-through-multi-sensory-semi-supervised-learning-1709.07911</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avoidance-of-manual-labeling-in-robotic-autonomous-navigation-through-multi-sensory-semi-supervised-learning-1709.07911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avoidance-of-manual-labeling-in-robotic-autonomous-navigation-through-multi-sensory-semi-supervised-learning-1709.07911"/></url>
<url><loc>https://scifaro.com/en/abs/cascaded-region-based-densely-connected-network-for-event-detection-a-seismic-application-1709.07943</loc><lastmod>2018-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cascaded-region-based-densely-connected-network-for-event-detection-a-seismic-application-1709.07943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cascaded-region-based-densely-connected-network-for-event-detection-a-seismic-application-1709.07943"/></url>
<url><loc>https://scifaro.com/en/abs/feature-based-time-series-analysis-1709.08055</loc><lastmod>2017-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-based-time-series-analysis-1709.08055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-based-time-series-analysis-1709.08055"/></url>
<url><loc>https://scifaro.com/en/abs/function-approximation-with-zonal-function-networks-with-activation-functions-analogous-to-the-rectified-linear-unit-functions-1709.08174</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/function-approximation-with-zonal-function-networks-with-activation-functions-analogous-to-the-rectified-linear-unit-functions-1709.08174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/function-approximation-with-zonal-function-networks-with-activation-functions-analogous-to-the-rectified-linear-unit-functions-1709.08174"/></url>
<url><loc>https://scifaro.com/en/abs/hdltex-hierarchical-deep-learning-for-text-classification-1709.08267</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hdltex-hierarchical-deep-learning-for-text-classification-1709.08267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hdltex-hierarchical-deep-learning-for-text-classification-1709.08267"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graph-structured-sum-product-networks-for-probabilistic-semantic-maps-1709.08274</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graph-structured-sum-product-networks-for-probabilistic-semantic-maps-1709.08274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graph-structured-sum-product-networks-for-probabilistic-semantic-maps-1709.08274"/></url>
<url><loc>https://scifaro.com/en/abs/non-iterative-label-propagation-in-optimal-leading-forest-1709.08426</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-iterative-label-propagation-in-optimal-leading-forest-1709.08426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-iterative-label-propagation-in-optimal-leading-forest-1709.08426"/></url>
<url><loc>https://scifaro.com/en/abs/house-price-prediction-using-lstm-1709.08432</loc><lastmod>2017-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/house-price-prediction-using-lstm-1709.08432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/house-price-prediction-using-lstm-1709.08432"/></url>
<url><loc>https://scifaro.com/en/abs/j-mod-2-joint-monocular-obstacle-detection-and-depth-estimation-1709.08480</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/j-mod-2-joint-monocular-obstacle-detection-and-depth-estimation-1709.08480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/j-mod-2-joint-monocular-obstacle-detection-and-depth-estimation-1709.08480"/></url>
<url><loc>https://scifaro.com/en/abs/generative-learning-for-deep-networks-1709.08524</loc><lastmod>2017-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-learning-for-deep-networks-1709.08524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-learning-for-deep-networks-1709.08524"/></url>
<url><loc>https://scifaro.com/en/abs/the-consciousness-prior-1709.08568</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-consciousness-prior-1709.08568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-consciousness-prior-1709.08568"/></url>
<url><loc>https://scifaro.com/en/abs/glass-box-program-synthesis-a-machine-learning-approach-1709.08669</loc><lastmod>2017-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/glass-box-program-synthesis-a-machine-learning-approach-1709.08669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/glass-box-program-synthesis-a-machine-learning-approach-1709.08669"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-nonconvex-optimization-with-large-minibatches-1709.08728</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-nonconvex-optimization-with-large-minibatches-1709.08728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-nonconvex-optimization-with-large-minibatches-1709.08728"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-a-version-of-multivariate-symmetric-uncertainty-to-assist-in-feature-selection-1709.08730</loc><lastmod>2023-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-a-version-of-multivariate-symmetric-uncertainty-to-assist-in-feature-selection-1709.08730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-a-version-of-multivariate-symmetric-uncertainty-to-assist-in-feature-selection-1709.08730"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-model-for-traffic-flow-state-classification-based-on-smart-phone-sensor-data-1709.08802</loc><lastmod>2017-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-model-for-traffic-flow-state-classification-based-on-smart-phone-sensor-data-1709.08802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-model-for-traffic-flow-state-classification-based-on-smart-phone-sensor-data-1709.08802"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-predictive-model-for-music-using-pulse-1709.08842</loc><lastmod>2017-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-predictive-model-for-music-using-pulse-1709.08842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-predictive-model-for-music-using-pulse-1709.08842"/></url>
<url><loc>https://scifaro.com/en/abs/object-oriented-neural-programming-oonp-for-document-understanding-1709.08853</loc><lastmod>2018-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/object-oriented-neural-programming-oonp-for-document-understanding-1709.08853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/object-oriented-neural-programming-oonp-for-document-understanding-1709.08853"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoder-by-forest-1709.09018</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoder-by-forest-1709.09018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoder-by-forest-1709.09018"/></url>
<url><loc>https://scifaro.com/en/abs/mdp-environments-for-the-openai-gym-1709.09069</loc><lastmod>2017-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mdp-environments-for-the-openai-gym-1709.09069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mdp-environments-for-the-openai-gym-1709.09069"/></url>
<url><loc>https://scifaro.com/en/abs/output-range-analysis-for-deep-neural-networks-1709.09130</loc><lastmod>2017-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/output-range-analysis-for-deep-neural-networks-1709.09130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/output-range-analysis-for-deep-neural-networks-1709.09130"/></url>
<url><loc>https://scifaro.com/en/abs/fsl-bm-fuzzy-supervised-learning-with-binary-meta-feature-for-classification-1709.09268</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fsl-bm-fuzzy-supervised-learning-with-binary-meta-feature-for-classification-1709.09268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fsl-bm-fuzzy-supervised-learning-with-binary-meta-feature-for-classification-1709.09268"/></url>
<url><loc>https://scifaro.com/en/abs/cold-start-reinforcement-learning-with-softmax-policy-gradient-1709.09346</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cold-start-reinforcement-learning-with-softmax-policy-gradient-1709.09346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cold-start-reinforcement-learning-with-softmax-policy-gradient-1709.09346"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-for-topology-optimization-1709.09578</loc><lastmod>2017-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-for-topology-optimization-1709.09578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-for-topology-optimization-1709.09578"/></url>
<url><loc>https://scifaro.com/en/abs/connectivity-learning-in-multi-branch-networks-1709.09582</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/connectivity-learning-in-multi-branch-networks-1709.09582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/connectivity-learning-in-multi-branch-networks-1709.09582"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-approach-to-batch-normalization-1709.09603</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-approach-to-batch-normalization-1709.09603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-approach-to-batch-normalization-1709.09603"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-without-compromising-accuracy-in-adaptive-data-analysis-1709.09778</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-without-compromising-accuracy-in-adaptive-data-analysis-1709.09778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-without-compromising-accuracy-in-adaptive-data-analysis-1709.09778"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-mapping-networks-1709.09820</loc><lastmod>2017-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-mapping-networks-1709.09820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-mapping-networks-1709.09820"/></url>
<url><loc>https://scifaro.com/en/abs/the-model-of-an-anomaly-detector-for-hilumi-lhc-magnets-based-on-recurrent-neural-networks-and-adaptive-quantization-1709.09883</loc><lastmod>2018-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-model-of-an-anomaly-detector-for-hilumi-lhc-magnets-based-on-recurrent-neural-networks-and-adaptive-quantization-1709.09883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-model-of-an-anomaly-detector-for-hilumi-lhc-magnets-based-on-recurrent-neural-networks-and-adaptive-quantization-1709.09883"/></url>
<url><loc>https://scifaro.com/en/abs/subic-a-supervised-bi-clustering-approach-for-precision-medicine-1709.09929</loc><lastmod>2018-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subic-a-supervised-bi-clustering-approach-for-precision-medicine-1709.09929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subic-a-supervised-bi-clustering-approach-for-precision-medicine-1709.09929"/></url>
<url><loc>https://scifaro.com/en/abs/learning-complex-dexterous-manipulation-with-deep-reinforcement-learning-and-demonstrations-1709.10087</loc><lastmod>2018-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-complex-dexterous-manipulation-with-deep-reinforcement-learning-and-demonstrations-1709.10087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-complex-dexterous-manipulation-with-deep-reinforcement-learning-and-demonstrations-1709.10087"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-exploration-in-reinforcement-learning-with-demonstrations-1709.10089</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-exploration-in-reinforcement-learning-with-demonstrations-1709.10089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-exploration-in-reinforcement-learning-with-demonstrations-1709.10089"/></url>
<url><loc>https://scifaro.com/en/abs/provably-minimally-distorted-adversarial-examples-1709.10207</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-minimally-distorted-adversarial-examples-1709.10207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-minimally-distorted-adversarial-examples-1709.10207"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-evaluation-of-rule-extraction-from-recurrent-neural-networks-1709.10380</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-rule-extraction-from-recurrent-neural-networks-1709.10380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-rule-extraction-from-recurrent-neural-networks-1709.10380"/></url>
<url><loc>https://scifaro.com/en/abs/a-representer-theorem-for-deep-kernel-learning-1709.10441</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-representer-theorem-for-deep-kernel-learning-1709.10441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-representer-theorem-for-deep-kernel-learning-1709.10441"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-deep-reinforcement-learning-with-generalized-computation-graphs-for-robot-navigation-1709.10489</loc><lastmod>2018-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-deep-reinforcement-learning-with-generalized-computation-graphs-for-robot-navigation-1709.10489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-deep-reinforcement-learning-with-generalized-computation-graphs-for-robot-navigation-1709.10489"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalization-of-the-jensen-divergence-the-chord-gap-divergence-1709.10498</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalization-of-the-jensen-divergence-the-chord-gap-divergence-1709.10498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalization-of-the-jensen-divergence-the-chord-gap-divergence-1709.10498"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-domain-adaptation-with-copula-models-1710.00018</loc><lastmod>2017-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-with-copula-models-1710.00018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-with-copula-models-1710.00018"/></url>
<url><loc>https://scifaro.com/en/abs/improved-training-for-self-training-by-confidence-assessments-1710.00209</loc><lastmod>2018-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-training-for-self-training-by-confidence-assessments-1710.00209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-training-for-self-training-by-confidence-assessments-1710.00209"/></url>
<url><loc>https://scifaro.com/en/abs/the-deep-ritz-method-a-deep-learning-based-numerical-algorithm-for-solving-variational-problems-1710.00211</loc><lastmod>2017-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-deep-ritz-method-a-deep-learning-based-numerical-algorithm-for-solving-variational-problems-1710.00211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-deep-ritz-method-a-deep-learning-based-numerical-algorithm-for-solving-variational-problems-1710.00211"/></url>
<url><loc>https://scifaro.com/en/abs/a-versatile-approach-to-evaluating-and-testing-automated-vehicles-based-on-kernel-methods-1710.00283</loc><lastmod>2017-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-versatile-approach-to-evaluating-and-testing-automated-vehicles-based-on-kernel-methods-1710.00283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-versatile-approach-to-evaluating-and-testing-automated-vehicles-based-on-kernel-methods-1710.00283"/></url>
<url><loc>https://scifaro.com/en/abs/libact-pool-based-active-learning-in-python-1710.00379</loc><lastmod>2017-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/libact-pool-based-active-learning-in-python-1710.00379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/libact-pool-based-active-learning-in-python-1710.00379"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-allocation-rules-for-a-class-of-dynamic-multi-armed-bandit-problems-1710.00450</loc><lastmod>2017-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-allocation-rules-for-a-class-of-dynamic-multi-armed-bandit-problems-1710.00450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-allocation-rules-for-a-class-of-dynamic-multi-armed-bandit-problems-1710.00450"/></url>
<url><loc>https://scifaro.com/en/abs/deep-abstract-q-networks-1710.00459</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-abstract-q-networks-1710.00459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-abstract-q-networks-1710.00459"/></url>
<url><loc>https://scifaro.com/en/abs/remote-sensing-image-classification-with-large-scale-gaussian-processes-1710.00575</loc><lastmod>2017-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/remote-sensing-image-classification-with-large-scale-gaussian-processes-1710.00575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/remote-sensing-image-classification-with-large-scale-gaussian-processes-1710.00575"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-nonlinear-auc-maximization-methods-1710.00760</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-nonlinear-auc-maximization-methods-1710.00760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-nonlinear-auc-maximization-methods-1710.00760"/></url>
<url><loc>https://scifaro.com/en/abs/r-enyi-differential-privacy-mechanisms-for-posterior-sampling-1710.00892</loc><lastmod>2017-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/r-enyi-differential-privacy-mechanisms-for-posterior-sampling-1710.00892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/r-enyi-differential-privacy-mechanisms-for-posterior-sampling-1710.00892"/></url>
<url><loc>https://scifaro.com/en/abs/mechanisms-of-dimensionality-reduction-and-decorrelation-in-deep-neural-networks-1710.01467</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mechanisms-of-dimensionality-reduction-and-decorrelation-in-deep-neural-networks-1710.01467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mechanisms-of-dimensionality-reduction-and-decorrelation-in-deep-neural-networks-1710.01467"/></url>
<url><loc>https://scifaro.com/en/abs/image-labeling-based-on-graphical-models-using-wasserstein-messages-and-geometric-assignment-1710.01493</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/image-labeling-based-on-graphical-models-using-wasserstein-messages-and-geometric-assignment-1710.01493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/image-labeling-based-on-graphical-models-using-wasserstein-messages-and-geometric-assignment-1710.01493"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-multi-modality-and-multi-classifier-radiomics-predictive-models-through-reliable-classifier-fusion-1710.01614</loc><lastmod>2017-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-multi-modality-and-multi-classifier-radiomics-predictive-models-through-reliable-classifier-fusion-1710.01614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-multi-modality-and-multi-classifier-radiomics-predictive-models-through-reliable-classifier-fusion-1710.01614"/></url>
<url><loc>https://scifaro.com/en/abs/context-embedding-networks-1710.01691</loc><lastmod>2018-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-embedding-networks-1710.01691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-embedding-networks-1710.01691"/></url>
<url><loc>https://scifaro.com/en/abs/iq-of-neural-networks-1710.01692</loc><lastmod>2017-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iq-of-neural-networks-1710.01692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iq-of-neural-networks-1710.01692"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-prediction-of-noisy-chaotic-time-series-by-deep-learning-1710.01693</loc><lastmod>2017-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-prediction-of-noisy-chaotic-time-series-by-deep-learning-1710.01693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-prediction-of-noisy-chaotic-time-series-by-deep-learning-1710.01693"/></url>
<url><loc>https://scifaro.com/en/abs/deeptfp-mobile-time-series-data-analytics-based-traffic-flow-prediction-1710.01695</loc><lastmod>2017-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeptfp-mobile-time-series-data-analytics-based-traffic-flow-prediction-1710.01695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeptfp-mobile-time-series-data-analytics-based-traffic-flow-prediction-1710.01695"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-of-spectral-data-for-convolutional-neural-network-cnn-based-deep-chemometrics-1710.01927</loc><lastmod>2017-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-of-spectral-data-for-convolutional-neural-network-cnn-based-deep-chemometrics-1710.01927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-of-spectral-data-for-convolutional-neural-network-cnn-based-deep-chemometrics-1710.01927"/></url>
<url><loc>https://scifaro.com/en/abs/alternating-iteratively-reweighted-minimization-algorithms-for-low-rank-matrix-factorization-1710.02004</loc><lastmod>2017-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternating-iteratively-reweighted-minimization-algorithms-for-low-rank-matrix-factorization-1710.02004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternating-iteratively-reweighted-minimization-algorithms-for-low-rank-matrix-factorization-1710.02004"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-clustering-of-bernoulli-mixture-models-1710.02101</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-clustering-of-bernoulli-mixture-models-1710.02101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-clustering-of-bernoulli-mixture-models-1710.02101"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-thompson-sampling-with-parameter-h-1710.02174</loc><lastmod>2017-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-thompson-sampling-with-parameter-h-1710.02174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-thompson-sampling-with-parameter-h-1710.02174"/></url>
<url><loc>https://scifaro.com/en/abs/stacked-structure-learning-for-lifted-relational-neural-networks-1710.02221</loc><lastmod>2017-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stacked-structure-learning-for-lifted-relational-neural-networks-1710.02221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stacked-structure-learning-for-lifted-relational-neural-networks-1710.02221"/></url>
<url><loc>https://scifaro.com/en/abs/solving-differential-equations-with-unknown-constitutive-relations-as-recurrent-neural-networks-1710.02242</loc><lastmod>2017-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-differential-equations-with-unknown-constitutive-relations-as-recurrent-neural-networks-1710.02242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-differential-equations-with-unknown-constitutive-relations-as-recurrent-neural-networks-1710.02242"/></url>
<url><loc>https://scifaro.com/en/abs/linear-time-sequence-classification-using-restricted-boltzmann-machines-1710.02245</loc><lastmod>2018-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-time-sequence-classification-using-restricted-boltzmann-machines-1710.02245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-time-sequence-classification-using-restricted-boltzmann-machines-1710.02245"/></url>
<url><loc>https://scifaro.com/en/abs/learnable-explicit-density-for-continuous-latent-space-and-variational-inference-1710.02248</loc><lastmod>2017-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learnable-explicit-density-for-continuous-latent-space-and-variational-inference-1710.02248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learnable-explicit-density-for-continuous-latent-space-and-variational-inference-1710.02248"/></url>
<url><loc>https://scifaro.com/en/abs/lattice-recurrent-unit-improving-convergence-and-statistical-efficiency-for-sequence-modeling-1710.02254</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lattice-recurrent-unit-improving-convergence-and-statistical-efficiency-for-sequence-modeling-1710.02254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lattice-recurrent-unit-improving-convergence-and-statistical-efficiency-for-sequence-modeling-1710.02254"/></url>
<url><loc>https://scifaro.com/en/abs/projection-based-weight-normalization-for-deep-neural-networks-1710.02338</loc><lastmod>2017-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projection-based-weight-normalization-for-deep-neural-networks-1710.02338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projection-based-weight-normalization-for-deep-neural-networks-1710.02338"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimization-approach-to-learning-falling-rule-lists-1710.02572</loc><lastmod>2018-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimization-approach-to-learning-falling-rule-lists-1710.02572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimization-approach-to-learning-falling-rule-lists-1710.02572"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-and-selection-as-stochastic-control-1710.02619</loc><lastmod>2017-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-and-selection-as-stochastic-control-1710.02619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-and-selection-as-stochastic-control-1710.02619"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-log-concavity-provable-guarantees-for-sampling-multi-modal-distributions-using-simulated-tempering-langevin-monte-carlo-1710.02736</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-log-concavity-provable-guarantees-for-sampling-multi-modal-distributions-using-simulated-tempering-langevin-monte-carlo-1710.02736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-log-concavity-provable-guarantees-for-sampling-multi-modal-distributions-using-simulated-tempering-langevin-monte-carlo-1710.02736"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-spectral-clustering-algorithm-1710.02756</loc><lastmod>2017-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-spectral-clustering-algorithm-1710.02756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-spectral-clustering-algorithm-1710.02756"/></url>
<url><loc>https://scifaro.com/en/abs/structural-feature-selection-for-event-logs-1710.02823</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-feature-selection-for-event-logs-1710.02823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-feature-selection-for-event-logs-1710.02823"/></url>
<url><loc>https://scifaro.com/en/abs/rum-network-representation-learning-through-multi-level-structural-information-preservation-1710.02836</loc><lastmod>2017-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rum-network-representation-learning-through-multi-level-structural-information-preservation-1710.02836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rum-network-representation-learning-through-multi-level-structural-information-preservation-1710.02836"/></url>
<url><loc>https://scifaro.com/en/abs/reconstruction-of-hidden-representation-for-robust-feature-extraction-1710.02844</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconstruction-of-hidden-representation-for-robust-feature-extraction-1710.02844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconstruction-of-hidden-representation-for-robust-feature-extraction-1710.02844"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-local-and-global-change-detection-in-dynamic-networks-1710.03035</loc><lastmod>2017-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-local-and-global-change-detection-in-dynamic-networks-1710.03035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-local-and-global-change-detection-in-dynamic-networks-1710.03035"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graph-representations-with-embedding-propagation-1710.03059</loc><lastmod>2017-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graph-representations-with-embedding-propagation-1710.03059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graph-representations-with-embedding-propagation-1710.03059"/></url>
<url><loc>https://scifaro.com/en/abs/toward-multidiversified-ensemble-clustering-of-high-dimensional-data-from-subspaces-to-metrics-and-beyond-1710.03113</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-multidiversified-ensemble-clustering-of-high-dimensional-data-from-subspaces-to-metrics-and-beyond-1710.03113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-multidiversified-ensemble-clustering-of-high-dimensional-data-from-subspaces-to-metrics-and-beyond-1710.03113"/></url>
<url><loc>https://scifaro.com/en/abs/random-projection-and-its-applications-1710.03163</loc><lastmod>2017-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-projection-and-its-applications-1710.03163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-projection-and-its-applications-1710.03163"/></url>
<url><loc>https://scifaro.com/en/abs/on-formalizing-fairness-in-prediction-with-machine-learning-1710.03184</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-formalizing-fairness-in-prediction-with-machine-learning-1710.03184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-formalizing-fairness-in-prediction-with-machine-learning-1710.03184"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-across-time-series-databases-using-recurrent-neural-networks-on-groups-of-similar-series-a-clustering-approach-1710.03222</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-across-time-series-databases-using-recurrent-neural-networks-on-groups-of-similar-series-a-clustering-approach-1710.03222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-across-time-series-databases-using-recurrent-neural-networks-on-groups-of-similar-series-a-clustering-approach-1710.03222"/></url>
<url><loc>https://scifaro.com/en/abs/checkpoint-ensembles-ensemble-methods-from-a-single-training-process-1710.03282</loc><lastmod>2017-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/checkpoint-ensembles-ensemble-methods-from-a-single-training-process-1710.03282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/checkpoint-ensembles-ensemble-methods-from-a-single-training-process-1710.03282"/></url>
<url><loc>https://scifaro.com/en/abs/sum-product-networks-for-hybrid-domains-1710.03297</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sum-product-networks-for-hybrid-domains-1710.03297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sum-product-networks-for-hybrid-domains-1710.03297"/></url>
<url><loc>https://scifaro.com/en/abs/energy-efficient-amortized-inference-with-cascaded-deep-classifiers-1710.03368</loc><lastmod>2017-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-efficient-amortized-inference-with-cascaded-deep-classifiers-1710.03368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-efficient-amortized-inference-with-cascaded-deep-classifiers-1710.03368"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-generalize-meta-learning-for-domain-generalization-1710.03463</loc><lastmod>2017-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-generalize-meta-learning-for-domain-generalization-1710.03463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-generalize-meta-learning-for-domain-generalization-1710.03463"/></url>
<url><loc>https://scifaro.com/en/abs/an-analysis-of-dropout-for-matrix-factorization-1710.03487</loc><lastmod>2017-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analysis-of-dropout-for-matrix-factorization-1710.03487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analysis-of-dropout-for-matrix-factorization-1710.03487"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-strong-convergence-of-online-learning-algorithms-1710.03600</loc><lastmod>2017-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-strong-convergence-of-online-learning-algorithms-1710.03600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-strong-convergence-of-online-learning-algorithms-1710.03600"/></url>
<url><loc>https://scifaro.com/en/abs/linxgboost-extension-of-xgboost-to-generalized-local-linear-models-1710.03634</loc><lastmod>2017-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linxgboost-extension-of-xgboost-to-generalized-local-linear-models-1710.03634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linxgboost-extension-of-xgboost-to-generalized-local-linear-models-1710.03634"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-adaptation-via-meta-learning-in-nonstationary-and-competitive-environments-1710.03641</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-adaptation-via-meta-learning-in-nonstationary-and-competitive-environments-1710.03641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-adaptation-via-meta-learning-in-nonstationary-and-competitive-environments-1710.03641"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-deep-learning-for-steering-autonomous-vehicles-considering-temporal-dependencies-1710.03804</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-deep-learning-for-steering-autonomous-vehicles-considering-temporal-dependencies-1710.03804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-deep-learning-for-steering-autonomous-vehicles-considering-temporal-dependencies-1710.03804"/></url>
<url><loc>https://scifaro.com/en/abs/disentangled-representations-via-synergy-minimization-1710.03839</loc><lastmod>2017-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-representations-via-synergy-minimization-1710.03839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-representations-via-synergy-minimization-1710.03839"/></url>
<url><loc>https://scifaro.com/en/abs/using-task-descriptions-in-lifelong-machine-learning-for-improved-performance-and-zero-shot-transfer-1710.03850</loc><lastmod>2017-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-task-descriptions-in-lifelong-machine-learning-for-improved-performance-and-zero-shot-transfer-1710.03850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-task-descriptions-in-lifelong-machine-learning-for-improved-performance-and-zero-shot-transfer-1710.03850"/></url>
<url><loc>https://scifaro.com/en/abs/learning-task-specifications-from-demonstrations-1710.03875</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-task-specifications-from-demonstrations-1710.03875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-task-specifications-from-demonstrations-1710.03875"/></url>
<url><loc>https://scifaro.com/en/abs/when-is-network-lasso-accurate-the-vector-case-1710.03942</loc><lastmod>2017-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-is-network-lasso-accurate-the-vector-case-1710.03942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-is-network-lasso-accurate-the-vector-case-1710.03942"/></url>
<url><loc>https://scifaro.com/en/abs/driving-behavior-analysis-through-can-bus-data-in-an-uncontrolled-environment-1710.04133</loc><lastmod>2017-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/driving-behavior-analysis-through-can-bus-data-in-an-uncontrolled-environment-1710.04133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/driving-behavior-analysis-through-can-bus-data-in-an-uncontrolled-environment-1710.04133"/></url>
<url><loc>https://scifaro.com/en/abs/stackseq2seq-dual-encoder-seq2seq-recurrent-networks-1710.04211</loc><lastmod>2018-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stackseq2seq-dual-encoder-seq2seq-recurrent-networks-1710.04211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stackseq2seq-dual-encoder-seq2seq-recurrent-networks-1710.04211"/></url>
<url><loc>https://scifaro.com/en/abs/improved-coresets-for-kernel-density-estimates-1710.04325</loc><lastmod>2017-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-coresets-for-kernel-density-estimates-1710.04325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-coresets-for-kernel-density-estimates-1710.04325"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-data-driven-geologic-feature-detection-from-pre-stack-seismic-measurements-using-randomized-machine-learning-algorithm-1710.04329</loc><lastmod>2018-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-data-driven-geologic-feature-detection-from-pre-stack-seismic-measurements-using-randomized-machine-learning-algorithm-1710.04329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-data-driven-geologic-feature-detection-from-pre-stack-seismic-measurements-using-randomized-machine-learning-algorithm-1710.04329"/></url>
<url><loc>https://scifaro.com/en/abs/learning-koopman-invariant-subspaces-for-dynamic-mode-decomposition-1710.04340</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-koopman-invariant-subspaces-for-dynamic-mode-decomposition-1710.04340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-koopman-invariant-subspaces-for-dynamic-mode-decomposition-1710.04340"/></url>
<url><loc>https://scifaro.com/en/abs/sign-constrained-regularized-loss-minimization-1710.04380</loc><lastmod>2017-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sign-constrained-regularized-loss-minimization-1710.04380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sign-constrained-regularized-loss-minimization-1710.04380"/></url>
<url><loc>https://scifaro.com/en/abs/provably-fair-representations-1710.04394</loc><lastmod>2017-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-fair-representations-1710.04394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-fair-representations-1710.04394"/></url>
<url><loc>https://scifaro.com/en/abs/sum-product-quotient-networks-1710.04404</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sum-product-quotient-networks-1710.04404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sum-product-quotient-networks-1710.04404"/></url>
<url><loc>https://scifaro.com/en/abs/amber-adaptive-multi-batch-experience-replay-for-continuous-action-control-1710.04423</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amber-adaptive-multi-batch-experience-replay-for-continuous-action-control-1710.04423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amber-adaptive-multi-batch-experience-replay-for-continuous-action-control-1710.04423"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-naive-bayes-classifier-based-noise-detection-technique-for-classifying-user-phone-call-behavior-1710.04461</loc><lastmod>2017-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-naive-bayes-classifier-based-noise-detection-technique-for-classifying-user-phone-call-behavior-1710.04461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-naive-bayes-classifier-based-noise-detection-technique-for-classifying-user-phone-call-behavior-1710.04461"/></url>
<url><loc>https://scifaro.com/en/abs/is-epicurus-the-father-of-reinforcement-learning-1710.04582</loc><lastmod>2017-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-epicurus-the-father-of-reinforcement-learning-1710.04582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-epicurus-the-father-of-reinforcement-learning-1710.04582"/></url>
<url><loc>https://scifaro.com/en/abs/towards-scalable-spectral-clustering-via-spectrum-preserving-sparsification-1710.04584</loc><lastmod>2018-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-scalable-spectral-clustering-via-spectrum-preserving-sparsification-1710.04584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-scalable-spectral-clustering-via-spectrum-preserving-sparsification-1710.04584"/></url>
<url><loc>https://scifaro.com/en/abs/deep-imitation-learning-for-complex-manipulation-tasks-from-virtual-reality-teleoperation-1710.04615</loc><lastmod>2018-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-imitation-learning-for-complex-manipulation-tasks-from-virtual-reality-teleoperation-1710.04615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-imitation-learning-for-complex-manipulation-tasks-from-virtual-reality-teleoperation-1710.04615"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-weighted-canonical-correlation-analysis-1710.04792</loc><lastmod>2017-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-weighted-canonical-correlation-analysis-1710.04792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-weighted-canonical-correlation-analysis-1710.04792"/></url>
<url><loc>https://scifaro.com/en/abs/deep-regression-bayesian-network-and-its-applications-1710.04809</loc><lastmod>2017-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-regression-bayesian-network-and-its-applications-1710.04809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-regression-bayesian-network-and-its-applications-1710.04809"/></url>
<url><loc>https://scifaro.com/en/abs/graph-convolutional-networks-for-classification-with-a-structured-label-space-1710.04908</loc><lastmod>2018-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-convolutional-networks-for-classification-with-a-structured-label-space-1710.04908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-convolutional-networks-for-classification-with-a-structured-label-space-1710.04908"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-generative-model-for-single-cell-rna-sequencing-with-application-to-detecting-differentially-expressed-genes-1710.05086</loc><lastmod>2017-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-generative-model-for-single-cell-rna-sequencing-with-application-to-detecting-differentially-expressed-genes-1710.05086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-generative-model-for-single-cell-rna-sequencing-with-application-to-detecting-differentially-expressed-genes-1710.05086"/></url>
<url><loc>https://scifaro.com/en/abs/burn-in-demonstrations-for-multi-modal-imitation-learning-1710.05090</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/burn-in-demonstrations-for-multi-modal-imitation-learning-1710.05090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/burn-in-demonstrations-for-multi-modal-imitation-learning-1710.05090"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-data-discretizer-1710.05091</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-data-discretizer-1710.05091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-data-discretizer-1710.05091"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-as-a-low-rank-regularizer-for-matrix-factorization-1710.05092</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-as-a-low-rank-regularizer-for-matrix-factorization-1710.05092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-as-a-low-rank-regularizer-for-matrix-factorization-1710.05092"/></url>
<url><loc>https://scifaro.com/en/abs/subsampling-for-ridge-regression-via-regularized-volume-sampling-1710.05110</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subsampling-for-ridge-regression-via-regularized-volume-sampling-1710.05110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subsampling-for-ridge-regression-via-regularized-volume-sampling-1710.05110"/></url>
<url><loc>https://scifaro.com/en/abs/parametric-t-distributed-stochastic-exemplar-centered-embedding-1710.05128</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametric-t-distributed-stochastic-exemplar-centered-embedding-1710.05128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametric-t-distributed-stochastic-exemplar-centered-embedding-1710.05128"/></url>
<url><loc>https://scifaro.com/en/abs/when-point-process-meets-rnns-predicting-fine-grained-user-interests-with-mutual-behavioral-infectivity-1710.05135</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-point-process-meets-rnns-predicting-fine-grained-user-interests-with-mutual-behavioral-infectivity-1710.05135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-point-process-meets-rnns-predicting-fine-grained-user-interests-with-mutual-behavioral-infectivity-1710.05135"/></url>
<url><loc>https://scifaro.com/en/abs/regularizing-deep-neural-networks-by-noise-its-interpretation-and-optimization-1710.05179</loc><lastmod>2017-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizing-deep-neural-networks-by-noise-its-interpretation-and-optimization-1710.05179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizing-deep-neural-networks-by-noise-its-interpretation-and-optimization-1710.05179"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-sample-complexity-bounds-for-robust-learning-of-gaussians-mixtures-via-compression-schemes-1710.05209</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-sample-complexity-bounds-for-robust-learning-of-gaussians-mixtures-via-compression-schemes-1710.05209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-sample-complexity-bounds-for-robust-learning-of-gaussians-mixtures-via-compression-schemes-1710.05209"/></url>
<url><loc>https://scifaro.com/en/abs/mental-sampling-in-multimodal-representations-1710.05219</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mental-sampling-in-multimodal-representations-1710.05219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mental-sampling-in-multimodal-representations-1710.05219"/></url>
<url><loc>https://scifaro.com/en/abs/learners-that-use-little-information-1710.05233</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learners-that-use-little-information-1710.05233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learners-that-use-little-information-1710.05233"/></url>
<url><loc>https://scifaro.com/en/abs/robust-decentralized-learning-using-admm-with-unreliable-agents-1710.05241</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-decentralized-learning-using-admm-with-unreliable-agents-1710.05241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-decentralized-learning-using-admm-with-unreliable-agents-1710.05241"/></url>
<url><loc>https://scifaro.com/en/abs/learning-infinite-rbms-with-frank-wolfe-1710.05270</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-infinite-rbms-with-frank-wolfe-1710.05270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-infinite-rbms-with-frank-wolfe-1710.05270"/></url>
<url><loc>https://scifaro.com/en/abs/cnncomparator-comparative-analytics-of-convolutional-neural-networks-1710.05285</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cnncomparator-comparative-analytics-of-convolutional-neural-networks-1710.05285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cnncomparator-comparative-analytics-of-convolutional-neural-networks-1710.05285"/></url>
<url><loc>https://scifaro.com/en/abs/text2action-generative-adversarial-synthesis-from-language-to-action-1710.05298</loc><lastmod>2017-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/text2action-generative-adversarial-synthesis-from-language-to-action-1710.05298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/text2action-generative-adversarial-synthesis-from-language-to-action-1710.05298"/></url>
<url><loc>https://scifaro.com/en/abs/robust-locally-linear-controllable-embedding-1710.05373</loc><lastmod>2018-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-locally-linear-controllable-embedding-1710.05373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-locally-linear-controllable-embedding-1710.05373"/></url>
<url><loc>https://scifaro.com/en/abs/the-scaling-limit-of-high-dimensional-online-independent-component-analysis-1710.05384</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-scaling-limit-of-high-dimensional-online-independent-component-analysis-1710.05384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-scaling-limit-of-high-dimensional-online-independent-component-analysis-1710.05384"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-regularization-for-kernelized-lstd-1710.05387</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-regularization-for-kernelized-lstd-1710.05387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-regularization-for-kernelized-lstd-1710.05387"/></url>
<url><loc>https://scifaro.com/en/abs/neuralpower-predict-and-deploy-energy-efficient-convolutional-neural-networks-1710.05420</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuralpower-predict-and-deploy-energy-efficient-convolutional-neural-networks-1710.05420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuralpower-predict-and-deploy-energy-efficient-convolutional-neural-networks-1710.05420"/></url>
<url><loc>https://scifaro.com/en/abs/safe-learning-of-quadrotor-dynamics-using-barrier-certificates-1710.05472</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-learning-of-quadrotor-dynamics-using-barrier-certificates-1710.05472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-learning-of-quadrotor-dynamics-using-barrier-certificates-1710.05472"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometric-view-of-optimal-transportation-and-generative-model-1710.05488</loc><lastmod>2017-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometric-view-of-optimal-transportation-and-generative-model-1710.05488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometric-view-of-optimal-transportation-and-generative-model-1710.05488"/></url>
<url><loc>https://scifaro.com/en/abs/entanglement-entropy-of-target-functions-for-image-classification-and-convolutional-neural-network-1710.05520</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entanglement-entropy-of-target-functions-for-image-classification-and-convolutional-neural-network-1710.05520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entanglement-entropy-of-target-functions-for-image-classification-and-convolutional-neural-network-1710.05520"/></url>
<url><loc>https://scifaro.com/en/abs/is-simple-better-revisiting-non-linear-matrix-factorization-for-learning-incomplete-ratings-1710.05613</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-simple-better-revisiting-non-linear-matrix-factorization-for-learning-incomplete-ratings-1710.05613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-simple-better-revisiting-non-linear-matrix-factorization-for-learning-incomplete-ratings-1710.05613"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-hardness-of-inventory-management-with-censored-demand-data-1710.05739</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-hardness-of-inventory-management-with-censored-demand-data-1710.05739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-hardness-of-inventory-management-with-censored-demand-data-1710.05739"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-learning-of-prediction-intervals-1710.05888</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-learning-of-prediction-intervals-1710.05888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-learning-of-prediction-intervals-1710.05888"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-algorithms-for-computing-fair-support-vector-machines-1710.05895</loc><lastmod>2017-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-algorithms-for-computing-fair-support-vector-machines-1710.05895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-algorithms-for-computing-fair-support-vector-machines-1710.05895"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-free-policy-architecture-search-and-adaptation-1710.05958</loc><lastmod>2017-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-free-policy-architecture-search-and-adaptation-1710.05958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-free-policy-architecture-search-and-adaptation-1710.05958"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-variance-reduction-for-policy-gradient-estimation-1710.06034</loc><lastmod>2018-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-variance-reduction-for-policy-gradient-estimation-1710.06034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-variance-reduction-for-policy-gradient-estimation-1710.06034"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-adversarial-attacks-with-momentum-1710.06081</loc><lastmod>2018-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-adversarial-attacks-with-momentum-1710.06081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-adversarial-attacks-with-momentum-1710.06081"/></url>
<url><loc>https://scifaro.com/en/abs/primal-dual-pi-learning-sample-complexity-and-sublinear-run-time-for-ergodic-markov-decision-problems-1710.06100</loc><lastmod>2017-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/primal-dual-pi-learning-sample-complexity-and-sublinear-run-time-for-ergodic-markov-decision-problems-1710.06100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/primal-dual-pi-learning-sample-complexity-and-sublinear-run-time-for-ergodic-markov-decision-problems-1710.06100"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-recurrent-neural-networks-for-electrocardiogram-classification-1710.06122</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-recurrent-neural-networks-for-electrocardiogram-classification-1710.06122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-recurrent-neural-networks-for-electrocardiogram-classification-1710.06122"/></url>
<url><loc>https://scifaro.com/en/abs/operational-thermal-load-forecasting-in-district-heating-networks-using-machine-learning-and-expert-advice-1710.06134</loc><lastmod>2017-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/operational-thermal-load-forecasting-in-district-heating-networks-using-machine-learning-and-expert-advice-1710.06134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/operational-thermal-load-forecasting-in-district-heating-networks-using-machine-learning-and-expert-advice-1710.06134"/></url>
<url><loc>https://scifaro.com/en/abs/cross-language-learning-for-program-classification-using-bilateral-tree-based-convolutional-neural-networks-1710.06159</loc><lastmod>2017-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-language-learning-for-program-classification-using-bilateral-tree-based-convolutional-neural-networks-1710.06159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-language-learning-for-program-classification-using-bilateral-tree-based-convolutional-neural-networks-1710.06159"/></url>
<url><loc>https://scifaro.com/en/abs/deep-gaussian-covariance-network-1710.06202</loc><lastmod>2017-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-gaussian-covariance-network-1710.06202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-gaussian-covariance-network-1710.06202"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-penalties-which-structures-are-preserved-by-convex-relaxations-1710.06273</loc><lastmod>2018-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-penalties-which-structures-are-preserved-by-convex-relaxations-1710.06273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-penalties-which-structures-are-preserved-by-convex-relaxations-1710.06273"/></url>
<url><loc>https://scifaro.com/en/abs/beat-by-beat-classifying-cardiac-arrhythmias-with-recurrent-neural-networks-1710.06319</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beat-by-beat-classifying-cardiac-arrhythmias-with-recurrent-neural-networks-1710.06319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beat-by-beat-classifying-cardiac-arrhythmias-with-recurrent-neural-networks-1710.06319"/></url>
<url><loc>https://scifaro.com/en/abs/fishing-for-clickbaits-in-social-images-and-texts-with-linguistically-infused-neural-network-models-1710.06390</loc><lastmod>2017-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fishing-for-clickbaits-in-social-images-and-texts-with-linguistically-infused-neural-network-models-1710.06390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fishing-for-clickbaits-in-social-images-and-texts-with-linguistically-infused-neural-network-models-1710.06390"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-domain-adaptation-for-deep-learning-of-instance-grasping-from-simulation-1710.06422</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-domain-adaptation-for-deep-learning-of-instance-grasping-from-simulation-1710.06422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-domain-adaptation-for-deep-learning-of-instance-grasping-from-simulation-1710.06422"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-perspective-on-generalization-and-stochastic-gradient-descent-1710.06451</loc><lastmod>2018-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-perspective-on-generalization-and-stochastic-gradient-descent-1710.06451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-perspective-on-generalization-and-stochastic-gradient-descent-1710.06451"/></url>
<url><loc>https://scifaro.com/en/abs/learning-inverse-statics-models-efficiently-1710.06463</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-inverse-statics-models-efficiently-1710.06463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-inverse-statics-models-efficiently-1710.06463"/></url>
<url><loc>https://scifaro.com/en/abs/robust-importance-weighted-cross-validation-under-sample-selection-bias-1710.06514</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-importance-weighted-cross-validation-under-sample-selection-bias-1710.06514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-importance-weighted-cross-validation-under-sample-selection-bias-1710.06514"/></url>
<url><loc>https://scifaro.com/en/abs/replacement-autoencoder-a-privacy-preserving-algorithm-for-sensory-data-analysis-1710.06564</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/replacement-autoencoder-a-privacy-preserving-algorithm-for-sensory-data-analysis-1710.06564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/replacement-autoencoder-a-privacy-preserving-algorithm-for-sensory-data-analysis-1710.06564"/></url>
<url><loc>https://scifaro.com/en/abs/function-norms-and-regularization-in-deep-networks-1710.06703</loc><lastmod>2018-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/function-norms-and-regularization-in-deep-networks-1710.06703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/function-norms-and-regularization-in-deep-networks-1710.06703"/></url>
<url><loc>https://scifaro.com/en/abs/feature-versus-raw-sequence-deep-learning-comparative-study-on-predicting-pre-mirna-1710.06798</loc><lastmod>2017-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-versus-raw-sequence-deep-learning-comparative-study-on-predicting-pre-mirna-1710.06798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-versus-raw-sequence-deep-learning-comparative-study-on-predicting-pre-mirna-1710.06798"/></url>
<url><loc>https://scifaro.com/en/abs/concept-drift-learning-with-alternating-learners-1710.06940</loc><lastmod>2017-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-drift-learning-with-alternating-learners-1710.06940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-drift-learning-with-alternating-learners-1710.06940"/></url>
<url><loc>https://scifaro.com/en/abs/learning-differentially-private-recurrent-language-models-1710.06963</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-differentially-private-recurrent-language-models-1710.06963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-differentially-private-recurrent-language-models-1710.06963"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-via-feature-label-memory-network-1710.07110</loc><lastmod>2017-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-via-feature-label-memory-network-1710.07110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-via-feature-label-memory-network-1710.07110"/></url>
<url><loc>https://scifaro.com/en/abs/informational-neurobayesian-approach-to-neural-networks-training-opportunities-and-prospects-1710.07264</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/informational-neurobayesian-approach-to-neural-networks-training-opportunities-and-prospects-1710.07264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/informational-neurobayesian-approach-to-neural-networks-training-opportunities-and-prospects-1710.07264"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-as-statistical-data-assimilation-1710.07276</loc><lastmod>2017-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-as-statistical-data-assimilation-1710.07276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-as-statistical-data-assimilation-1710.07276"/></url>
<url><loc>https://scifaro.com/en/abs/power-plant-performance-modeling-with-concept-drift-1710.07314</loc><lastmod>2017-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-plant-performance-modeling-with-concept-drift-1710.07314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-plant-performance-modeling-with-concept-drift-1710.07314"/></url>
<url><loc>https://scifaro.com/en/abs/atypicality-for-heart-rate-variability-using-a-pattern-tree-weighting-method-1710.07319</loc><lastmod>2017-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/atypicality-for-heart-rate-variability-using-a-pattern-tree-weighting-method-1710.07319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/atypicality-for-heart-rate-variability-using-a-pattern-tree-weighting-method-1710.07319"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-gaussian-processes-with-billions-of-inducing-inputs-via-tensor-train-decomposition-1710.07324</loc><lastmod>2018-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-gaussian-processes-with-billions-of-inducing-inputs-via-tensor-train-decomposition-1710.07324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-gaussian-processes-with-billions-of-inducing-inputs-via-tensor-train-decomposition-1710.07324"/></url>
<url><loc>https://scifaro.com/en/abs/multipartite-pooling-for-deep-convolutional-neural-networks-1710.07435</loc><lastmod>2017-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multipartite-pooling-for-deep-convolutional-neural-networks-1710.07435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multipartite-pooling-for-deep-convolutional-neural-networks-1710.07435"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-deep-transfer-learning-by-basic-probability-assignment-1710.07437</loc><lastmod>2017-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-deep-transfer-learning-by-basic-probability-assignment-1710.07437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-deep-transfer-learning-by-basic-probability-assignment-1710.07437"/></url>
<url><loc>https://scifaro.com/en/abs/unified-backpropagation-for-multi-objective-deep-learning-1710.07438</loc><lastmod>2017-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-backpropagation-for-multi-objective-deep-learning-1710.07438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-backpropagation-for-multi-objective-deep-learning-1710.07438"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-classifier-chains-for-multi-label-learning-1710.07491</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-classifier-chains-for-multi-label-learning-1710.07491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-classifier-chains-for-multi-label-learning-1710.07491"/></url>
<url><loc>https://scifaro.com/en/abs/data-free-knowledge-distillation-for-deep-neural-networks-1710.07535</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-free-knowledge-distillation-for-deep-neural-networks-1710.07535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-free-knowledge-distillation-for-deep-neural-networks-1710.07535"/></url>
<url><loc>https://scifaro.com/en/abs/low-precision-rnns-quantizing-rnns-without-losing-accuracy-1710.07706</loc><lastmod>2017-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-precision-rnns-quantizing-rnns-without-losing-accuracy-1710.07706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-precision-rnns-quantizing-rnns-without-losing-accuracy-1710.07706"/></url>
<url><loc>https://scifaro.com/en/abs/a-tight-excess-risk-bound-via-a-unified-pac-bayesian-rademacher-shtarkov-mdl-complexity-1710.07732</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tight-excess-risk-bound-via-a-unified-pac-bayesian-rademacher-shtarkov-mdl-complexity-1710.07732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tight-excess-risk-bound-via-a-unified-pac-bayesian-rademacher-shtarkov-mdl-complexity-1710.07732"/></url>
<url><loc>https://scifaro.com/en/abs/learning-discrete-weights-using-the-local-reparameterization-trick-1710.07739</loc><lastmod>2018-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-discrete-weights-using-the-local-reparameterization-trick-1710.07739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-discrete-weights-using-the-local-reparameterization-trick-1710.07739"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-stochastic-stratified-average-gradient-method-convergence-rate-and-its-complexity-1710.07783</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-stochastic-stratified-average-gradient-method-convergence-rate-and-its-complexity-1710.07783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-stochastic-stratified-average-gradient-method-convergence-rate-and-its-complexity-1710.07783"/></url>
<url><loc>https://scifaro.com/en/abs/a-learning-to-infer-method-for-real-time-power-grid-multi-line-outage-identification-1710.07818</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-learning-to-infer-method-for-real-time-power-grid-multi-line-outage-identification-1710.07818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-learning-to-infer-method-for-real-time-power-grid-multi-line-outage-identification-1710.07818"/></url>
<url><loc>https://scifaro.com/en/abs/incomplete-dot-products-for-dynamic-computation-scaling-in-neural-network-inference-1710.07830</loc><lastmod>2017-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incomplete-dot-products-for-dynamic-computation-scaling-in-neural-network-inference-1710.07830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incomplete-dot-products-for-dynamic-computation-scaling-in-neural-network-inference-1710.07830"/></url>
<url><loc>https://scifaro.com/en/abs/strategic-classification-from-revealed-preferences-1710.07887</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strategic-classification-from-revealed-preferences-1710.07887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strategic-classification-from-revealed-preferences-1710.07887"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-convolutional-semantic-segmentation-learning-1710.07991</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-convolutional-semantic-segmentation-learning-1710.07991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-convolutional-semantic-segmentation-learning-1710.07991"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-reinforcement-learning-1710.08070</loc><lastmod>2018-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-reinforcement-learning-1710.08070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-reinforcement-learning-1710.08070"/></url>
<url><loc>https://scifaro.com/en/abs/aggregating-algorithm-for-prediction-of-packs-1710.08114</loc><lastmod>2017-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregating-algorithm-for-prediction-of-packs-1710.08114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregating-algorithm-for-prediction-of-packs-1710.08114"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoder-inspired-unsupervised-feature-selection-1710.08310</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoder-inspired-unsupervised-feature-selection-1710.08310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoder-inspired-unsupervised-feature-selection-1710.08310"/></url>
<url><loc>https://scifaro.com/en/abs/improving-one-shot-learning-through-fusing-side-information-1710.08347</loc><lastmod>2018-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-one-shot-learning-through-fusing-side-information-1710.08347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-one-shot-learning-through-fusing-side-information-1710.08347"/></url>
<url><loc>https://scifaro.com/en/abs/nesterov-s-acceleration-for-approximate-newton-1710.08496</loc><lastmod>2017-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nesterov-s-acceleration-for-approximate-newton-1710.08496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nesterov-s-acceleration-for-approximate-newton-1710.08496"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-neural-knowledge-graph-learning-1710.08502</loc><lastmod>2018-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-neural-knowledge-graph-learning-1710.08502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-neural-knowledge-graph-learning-1710.08502"/></url>
<url><loc>https://scifaro.com/en/abs/benchmark-of-deep-learning-models-on-large-healthcare-mimic-datasets-1710.08531</loc><lastmod>2017-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmark-of-deep-learning-models-on-large-healthcare-mimic-datasets-1710.08531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmark-of-deep-learning-models-on-large-healthcare-mimic-datasets-1710.08531"/></url>
<url><loc>https://scifaro.com/en/abs/max-margin-invariant-features-from-transformed-unlabeled-data-1710.08585</loc><lastmod>2017-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-margin-invariant-features-from-transformed-unlabeled-data-1710.08585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-margin-invariant-features-from-transformed-unlabeled-data-1710.08585"/></url>
<url><loc>https://scifaro.com/en/abs/improving-accuracy-of-nonparametric-transfer-learning-via-vector-segmentation-1710.08637</loc><lastmod>2017-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-accuracy-of-nonparametric-transfer-learning-via-vector-segmentation-1710.08637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-accuracy-of-nonparametric-transfer-learning-via-vector-segmentation-1710.08637"/></url>
<url><loc>https://scifaro.com/en/abs/a-correction-method-of-a-binary-classifier-applied-to-multi-label-pairwise-models-1710.08729</loc><lastmod>2018-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-correction-method-of-a-binary-classifier-applied-to-multi-label-pairwise-models-1710.08729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-correction-method-of-a-binary-classifier-applied-to-multi-label-pairwise-models-1710.08729"/></url>
<url><loc>https://scifaro.com/en/abs/one-pixel-attack-for-fooling-deep-neural-networks-1710.08864</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-pixel-attack-for-fooling-deep-neural-networks-1710.08864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-pixel-attack-for-fooling-deep-neural-networks-1710.08864"/></url>
<url><loc>https://scifaro.com/en/abs/classification-on-large-networks-a-quantitative-bound-via-motifs-and-graphons-1710.08878</loc><lastmod>2017-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-on-large-networks-a-quantitative-bound-via-motifs-and-graphons-1710.08878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-on-large-networks-a-quantitative-bound-via-motifs-and-graphons-1710.08878"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-predictive-distributions-with-kernels-1710.08894</loc><lastmod>2017-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-predictive-distributions-with-kernels-1710.08894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-predictive-distributions-with-kernels-1710.08894"/></url>
<url><loc>https://scifaro.com/en/abs/multi-armed-bandits-with-metric-movement-costs-1710.08997</loc><lastmod>2017-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-armed-bandits-with-metric-movement-costs-1710.08997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-armed-bandits-with-metric-movement-costs-1710.08997"/></url>
<url><loc>https://scifaro.com/en/abs/trace-norm-regularization-and-faster-inference-for-embedded-speech-recognition-rnns-1710.09026</loc><lastmod>2018-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trace-norm-regularization-and-faster-inference-for-embedded-speech-recognition-rnns-1710.09026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trace-norm-regularization-and-faster-inference-for-embedded-speech-recognition-rnns-1710.09026"/></url>
<url><loc>https://scifaro.com/en/abs/user-centric-composable-services-a-new-generation-of-personal-data-analytics-1710.09027</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/user-centric-composable-services-a-new-generation-of-personal-data-analytics-1710.09027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/user-centric-composable-services-a-new-generation-of-personal-data-analytics-1710.09027"/></url>
<url><loc>https://scifaro.com/en/abs/deep-transfer-learning-for-error-decoding-from-non-invasive-eeg-1710.09139</loc><lastmod>2018-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-transfer-learning-for-error-decoding-from-non-invasive-eeg-1710.09139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-transfer-learning-for-error-decoding-from-non-invasive-eeg-1710.09139"/></url>
<url><loc>https://scifaro.com/en/abs/the-heterogeneous-ensembles-of-standard-classification-algorithms-hesca-the-whole-is-greater-than-the-sum-of-its-parts-1710.09220</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-heterogeneous-ensembles-of-standard-classification-algorithms-hesca-the-whole-is-greater-than-the-sum-of-its-parts-1710.09220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-heterogeneous-ensembles-of-standard-classification-algorithms-hesca-the-whole-is-greater-than-the-sum-of-its-parts-1710.09220"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-classification-quite-a-brief-overview-1710.09230</loc><lastmod>2017-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-classification-quite-a-brief-overview-1710.09230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-classification-quite-a-brief-overview-1710.09230"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-model-compression-and-acceleration-for-deep-neural-networks-1710.09282</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-model-compression-and-acceleration-for-deep-neural-networks-1710.09282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-model-compression-and-acceleration-for-deep-neural-networks-1710.09282"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-manifold-landmarking-1710.09334</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-manifold-landmarking-1710.09334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-manifold-landmarking-1710.09334"/></url>
<url><loc>https://scifaro.com/en/abs/mixup-beyond-empirical-risk-minimization-1710.09412</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixup-beyond-empirical-risk-minimization-1710.09412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixup-beyond-empirical-risk-minimization-1710.09412"/></url>
<url><loc>https://scifaro.com/en/abs/dpca-dimensionality-reduction-for-discriminative-analytics-of-multiple-large-scale-datasets-1710.09429</loc><lastmod>2017-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dpca-dimensionality-reduction-for-discriminative-analytics-of-multiple-large-scale-datasets-1710.09429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dpca-dimensionality-reduction-for-discriminative-analytics-of-multiple-large-scale-datasets-1710.09429"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-long-term-memory-of-deep-recurrent-networks-1710.09431</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-long-term-memory-of-deep-recurrent-networks-1710.09431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-long-term-memory-of-deep-recurrent-networks-1710.09431"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-principle-based-algorithms-for-deep-learning-1710.09513</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-principle-based-algorithms-for-deep-learning-1710.09513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-principle-based-algorithms-for-deep-learning-1710.09513"/></url>
<url><loc>https://scifaro.com/en/abs/soft-methodology-for-cost-and-error-sensitive-classification-1710.09515</loc><lastmod>2017-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-methodology-for-cost-and-error-sensitive-classification-1710.09515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-methodology-for-cost-and-error-sensitive-classification-1710.09515"/></url>
<url><loc>https://scifaro.com/en/abs/rotational-unit-of-memory-1710.09537</loc><lastmod>2017-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rotational-unit-of-memory-1710.09537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rotational-unit-of-memory-1710.09537"/></url>
<url><loc>https://scifaro.com/en/abs/context-aware-generative-adversarial-privacy-1710.09549</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-aware-generative-adversarial-privacy-1710.09549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-aware-generative-adversarial-privacy-1710.09549"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-generalization-requires-revisiting-old-ideas-statistical-mechanics-approaches-and-complex-learning-behavior-1710.09553</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-generalization-requires-revisiting-old-ideas-statistical-mechanics-approaches-and-complex-learning-behavior-1710.09553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-generalization-requires-revisiting-old-ideas-statistical-mechanics-approaches-and-complex-learning-behavior-1710.09553"/></url>
<url><loc>https://scifaro.com/en/abs/watch-your-step-learning-node-embeddings-via-graph-attention-1710.09599</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/watch-your-step-learning-node-embeddings-via-graph-attention-1710.09599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/watch-your-step-learning-node-embeddings-via-graph-attention-1710.09599"/></url>
<url><loc>https://scifaro.com/en/abs/segment-parameter-labelling-in-mcmc-mean-shift-change-detection-1710.09657</loc><lastmod>2017-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/segment-parameter-labelling-in-mcmc-mean-shift-change-detection-1710.09657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/segment-parameter-labelling-in-mcmc-mean-shift-change-detection-1710.09657"/></url>
<url><loc>https://scifaro.com/en/abs/weighting-scheme-for-a-pairwise-multi-label-classifier-based-on-the-fuzzy-confusion-matrix-1710.09710</loc><lastmod>2018-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighting-scheme-for-a-pairwise-multi-label-classifier-based-on-the-fuzzy-confusion-matrix-1710.09710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighting-scheme-for-a-pairwise-multi-label-classifier-based-on-the-fuzzy-confusion-matrix-1710.09710"/></url>
<url><loc>https://scifaro.com/en/abs/learning-approximate-stochastic-transition-models-1710.09718</loc><lastmod>2017-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-approximate-stochastic-transition-models-1710.09718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-approximate-stochastic-transition-models-1710.09718"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-shared-hierarchies-1710.09767</loc><lastmod>2017-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-shared-hierarchies-1710.09767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-shared-hierarchies-1710.09767"/></url>
<url><loc>https://scifaro.com/en/abs/improving-negative-sampling-for-word-representation-using-self-embedded-features-1710.09805</loc><lastmod>2018-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-negative-sampling-for-word-representation-using-self-embedded-features-1710.09805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-negative-sampling-for-word-representation-using-self-embedded-features-1710.09805"/></url>
<url><loc>https://scifaro.com/en/abs/joint-screening-tests-for-lasso-1710.09809</loc><lastmod>2017-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-screening-tests-for-lasso-1710.09809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-screening-tests-for-lasso-1710.09809"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-diffusion-convolutional-neural-networks-1710.09813</loc><lastmod>2017-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-diffusion-convolutional-neural-networks-1710.09813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-diffusion-convolutional-neural-networks-1710.09813"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-sparsification-for-communication-efficient-distributed-optimization-1710.09854</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-sparsification-for-communication-efficient-distributed-optimization-1710.09854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-sparsification-for-communication-efficient-distributed-optimization-1710.09854"/></url>
<url><loc>https://scifaro.com/en/abs/the-error-probability-of-random-fourier-features-is-dimensionality-independent-1710.09953</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-error-probability-of-random-fourier-features-is-dimensionality-independent-1710.09953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-error-probability-of-random-fourier-features-is-dimensionality-independent-1710.09953"/></url>
<url><loc>https://scifaro.com/en/abs/improving-deep-learning-by-inverse-square-root-linear-units-isrlus-1710.09967</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-deep-learning-by-inverse-square-root-linear-units-isrlus-1710.09967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-deep-learning-by-inverse-square-root-linear-units-isrlus-1710.09967"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-conjugate-gradient-algorithm-with-variance-reduction-1710.09979</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-conjugate-gradient-algorithm-with-variance-reduction-1710.09979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-conjugate-gradient-algorithm-with-variance-reduction-1710.09979"/></url>
<url><loc>https://scifaro.com/en/abs/online-linear-optimization-with-the-log-determinant-regularizer-1710.10002</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-linear-optimization-with-the-log-determinant-regularizer-1710.10002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-linear-optimization-with-the-log-determinant-regularizer-1710.10002"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-tower-network-a-novel-deep-neural-network-architecture-for-multi-task-learning-1710.10036</loc><lastmod>2018-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-tower-network-a-novel-deep-neural-network-architecture-for-multi-task-learning-1710.10036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-tower-network-a-novel-deep-neural-network-architecture-for-multi-task-learning-1710.10036"/></url>
<url><loc>https://scifaro.com/en/abs/transform-invariant-non-parametric-clustering-of-covariance-matrices-and-its-application-to-unsupervised-joint-segmentation-and-action-discovery-1710.10060</loc><lastmod>2017-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transform-invariant-non-parametric-clustering-of-covariance-matrices-and-its-application-to-unsupervised-joint-segmentation-and-action-discovery-1710.10060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transform-invariant-non-parametric-clustering-of-covariance-matrices-and-its-application-to-unsupervised-joint-segmentation-and-action-discovery-1710.10060"/></url>
<url><loc>https://scifaro.com/en/abs/sgd-learns-over-parameterized-networks-that-provably-generalize-on-linearly-separable-data-1710.10174</loc><lastmod>2017-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgd-learns-over-parameterized-networks-that-provably-generalize-on-linearly-separable-data-1710.10174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgd-learns-over-parameterized-networks-that-provably-generalize-on-linearly-separable-data-1710.10174"/></url>
<url><loc>https://scifaro.com/en/abs/advanced-lstm-a-study-about-better-time-dependency-modeling-in-emotion-recognition-1710.10197</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advanced-lstm-a-study-about-better-time-dependency-modeling-in-emotion-recognition-1710.10197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advanced-lstm-a-study-about-better-time-dependency-modeling-in-emotion-recognition-1710.10197"/></url>
<url><loc>https://scifaro.com/en/abs/not-so-random-features-1710.10230</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/not-so-random-features-1710.10230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/not-so-random-features-1710.10230"/></url>
<url><loc>https://scifaro.com/en/abs/a-self-training-method-for-semi-supervised-gans-1710.10313</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-self-training-method-for-semi-supervised-gans-1710.10313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-self-training-method-for-semi-supervised-gans-1710.10313"/></url>
<url><loc>https://scifaro.com/en/abs/revisit-fuzzy-neural-network-demystifying-batch-normalization-and-relu-with-generalized-hamming-network-1710.10328</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisit-fuzzy-neural-network-demystifying-batch-normalization-and-relu-with-generalized-hamming-network-1710.10328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisit-fuzzy-neural-network-demystifying-batch-normalization-and-relu-with-generalized-hamming-network-1710.10328"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-neural-networks-via-node-varying-graph-filters-1710.10355</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-neural-networks-via-node-varying-graph-filters-1710.10355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-neural-networks-via-node-varying-graph-filters-1710.10355"/></url>
<url><loc>https://scifaro.com/en/abs/diff-dac-distributed-actor-critic-for-average-multitask-deep-reinforcement-learning-1710.10363</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diff-dac-distributed-actor-critic-for-average-multitask-deep-reinforcement-learning-1710.10363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diff-dac-distributed-actor-critic-for-average-multitask-deep-reinforcement-learning-1710.10363"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-dual-memory-network-for-continual-learning-1710.10368</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-dual-memory-network-for-continual-learning-1710.10368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-dual-memory-network-for-continual-learning-1710.10368"/></url>
<url><loc>https://scifaro.com/en/abs/topology-adaptive-graph-convolutional-networks-1710.10370</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topology-adaptive-graph-convolutional-networks-1710.10370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topology-adaptive-graph-convolutional-networks-1710.10370"/></url>
<url><loc>https://scifaro.com/en/abs/label-embedding-network-learning-label-representation-for-soft-training-of-deep-networks-1710.10393</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-embedding-network-learning-label-representation-for-soft-training-of-deep-networks-1710.10393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-embedding-network-learning-label-representation-for-soft-training-of-deep-networks-1710.10393"/></url>
<url><loc>https://scifaro.com/en/abs/trainable-back-propagated-functional-transfer-matrices-1710.10403</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trainable-back-propagated-functional-transfer-matrices-1710.10403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trainable-back-propagated-functional-transfer-matrices-1710.10403"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-identity-testing-1710.10457</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-identity-testing-1710.10457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-identity-testing-1710.10457"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-sensitivity-based-approach-for-differentially-private-principal-component-analysis-1710.10556</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-sensitivity-based-approach-for-differentially-private-principal-component-analysis-1710.10556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-sensitivity-based-approach-for-differentially-private-principal-component-analysis-1710.10556"/></url>
<url><loc>https://scifaro.com/en/abs/weight-initialization-of-deep-neural-networks-dnns-using-data-statistics-1710.10570</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weight-initialization-of-deep-neural-networks-dnns-using-data-statistics-1710.10570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weight-initialization-of-deep-neural-networks-dnns-using-data-statistics-1710.10570"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-approaches-for-support-vector-machines-with-applications-to-biomedical-data-1710.10600</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-approaches-for-support-vector-machines-with-applications-to-biomedical-data-1710.10600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-approaches-for-support-vector-machines-with-applications-to-biomedical-data-1710.10600"/></url>
<url><loc>https://scifaro.com/en/abs/discrepancy-based-algorithms-for-non-stationary-rested-bandits-1710.10657</loc><lastmod>2020-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrepancy-based-algorithms-for-non-stationary-rested-bandits-1710.10657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrepancy-based-algorithms-for-non-stationary-rested-bandits-1710.10657"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-for-deep-learning-a-taxonomy-1710.10686</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-for-deep-learning-a-taxonomy-1710.10686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-for-deep-learning-a-taxonomy-1710.10686"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-graph-convolutional-neural-networks-1710.10689</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-graph-convolutional-neural-networks-1710.10689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-graph-convolutional-neural-networks-1710.10689"/></url>
<url><loc>https://scifaro.com/en/abs/pixeldefend-leveraging-generative-models-to-understand-and-defend-against-adversarial-examples-1710.10766</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pixeldefend-leveraging-generative-models-to-understand-and-defend-against-adversarial-examples-1710.10766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pixeldefend-leveraging-generative-models-to-understand-and-defend-against-adversarial-examples-1710.10766"/></url>
<url><loc>https://scifaro.com/en/abs/tensorizing-generative-adversarial-nets-1710.10772</loc><lastmod>2018-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensorizing-generative-adversarial-nets-1710.10772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensorizing-generative-adversarial-nets-1710.10772"/></url>
<url><loc>https://scifaro.com/en/abs/how-deep-learning-works-the-geometry-of-deep-learning-1710.10784</loc><lastmod>2017-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-deep-learning-works-the-geometry-of-deep-learning-1710.10784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-deep-learning-works-the-geometry-of-deep-learning-1710.10784"/></url>
<url><loc>https://scifaro.com/en/abs/rough-extreme-learning-machine-a-new-classification-method-based-on-uncertainty-measure-1710.10824</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rough-extreme-learning-machine-a-new-classification-method-based-on-uncertainty-measure-1710.10824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rough-extreme-learning-machine-a-new-classification-method-based-on-uncertainty-measure-1710.10824"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-landscape-and-expressivity-of-deep-cnns-1710.10928</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-landscape-and-expressivity-of-deep-cnns-1710.10928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-landscape-and-expressivity-of-deep-cnns-1710.10928"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-descent-performs-variational-inference-converges-to-limit-cycles-for-deep-networks-1710.11029</loc><lastmod>2018-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-descent-performs-variational-inference-converges-to-limit-cycles-for-deep-networks-1710.11029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-descent-performs-variational-inference-converges-to-limit-cycles-for-deep-networks-1710.11029"/></url>
<url><loc>https://scifaro.com/en/abs/eigenoption-discovery-through-the-deep-successor-representation-1710.11089</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigenoption-discovery-through-the-deep-successor-representation-1710.11089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigenoption-discovery-through-the-deep-successor-representation-1710.11089"/></url>
<url><loc>https://scifaro.com/en/abs/crescendonet-a-simple-deep-convolutional-neural-network-with-ensemble-behavior-1710.11176</loc><lastmod>2018-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crescendonet-a-simple-deep-convolutional-neural-network-with-ensemble-behavior-1710.11176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crescendonet-a-simple-deep-convolutional-neural-network-with-ensemble-behavior-1710.11176"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-scalable-learning-of-sparse-changes-in-high-dimensional-gaussian-graphical-model-structure-1710.11223</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-scalable-learning-of-sparse-changes-in-high-dimensional-gaussian-graphical-model-structure-1710.11223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-scalable-learning-of-sparse-changes-in-high-dimensional-gaussian-graphical-model-structure-1710.11223"/></url>
<url><loc>https://scifaro.com/en/abs/prototype-matching-networks-for-large-scale-multi-label-genomic-sequence-classification-1710.11238</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prototype-matching-networks-for-large-scale-multi-label-genomic-sequence-classification-1710.11238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prototype-matching-networks-for-large-scale-multi-label-genomic-sequence-classification-1710.11238"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-properties-of-the-global-optimizer-of-two-layer-neural-network-1710.11241</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-properties-of-the-global-optimizer-of-two-layer-neural-network-1710.11241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-properties-of-the-global-optimizer-of-two-layer-neural-network-1710.11241"/></url>
<url><loc>https://scifaro.com/en/abs/learning-robust-rewards-with-adversarial-inverse-reinforcement-learning-1710.11248</loc><lastmod>2018-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-robust-rewards-with-adversarial-inverse-reinforcement-learning-1710.11248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-robust-rewards-with-adversarial-inverse-reinforcement-learning-1710.11248"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-analysis-of-non-linear-activation-functions-for-deep-neural-networks-in-classification-tasks-1710.11272</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-analysis-of-non-linear-activation-functions-for-deep-neural-networks-in-classification-tasks-1710.11272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-analysis-of-non-linear-activation-functions-for-deep-neural-networks-in-classification-tasks-1710.11272"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-learning-of-probability-distributions-from-random-data-in-the-limit-1710.11303</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-learning-of-probability-distributions-from-random-data-in-the-limit-1710.11303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-learning-of-probability-distributions-from-random-data-in-the-limit-1710.11303"/></url>
<url><loc>https://scifaro.com/en/abs/resolution-and-relevance-trade-offs-in-deep-learning-1710.11324</loc><lastmod>2018-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resolution-and-relevance-trade-offs-in-deep-learning-1710.11324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resolution-and-relevance-trade-offs-in-deep-learning-1710.11324"/></url>
<url><loc>https://scifaro.com/en/abs/generating-natural-adversarial-examples-1710.11342</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-natural-adversarial-examples-1710.11342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-natural-adversarial-examples-1710.11342"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-regression-meets-gaussian-processes-1710.11345</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-regression-meets-gaussian-processes-1710.11345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-regression-meets-gaussian-processes-1710.11345"/></url>
<url><loc>https://scifaro.com/en/abs/semantic-interpolation-in-implicit-models-1710.11381</loc><lastmod>2018-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantic-interpolation-in-implicit-models-1710.11381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantic-interpolation-in-implicit-models-1710.11381"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-prior-distributions-for-deep-generative-models-1710.11383</loc><lastmod>2018-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-prior-distributions-for-deep-generative-models-1710.11383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-prior-distributions-for-deep-generative-models-1710.11383"/></url>
<url><loc>https://scifaro.com/en/abs/parametrizing-filters-of-a-cnn-with-a-gan-1710.11386</loc><lastmod>2017-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametrizing-filters-of-a-cnn-with-a-gan-1710.11386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametrizing-filters-of-a-cnn-with-a-gan-1710.11386"/></url>
<url><loc>https://scifaro.com/en/abs/regret-minimization-for-partially-observable-deep-reinforcement-learning-1710.11424</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-minimization-for-partially-observable-deep-reinforcement-learning-1710.11424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-minimization-for-partially-observable-deep-reinforcement-learning-1710.11424"/></url>
<url><loc>https://scifaro.com/en/abs/physics-guided-neural-networks-pgnn-an-application-in-lake-temperature-modeling-1710.11431</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-guided-neural-networks-pgnn-an-application-in-lake-temperature-modeling-1710.11431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-guided-neural-networks-pgnn-an-application-in-lake-temperature-modeling-1710.11431"/></url>
<url><loc>https://scifaro.com/en/abs/a-convergent-algorithm-for-bi-orthogonal-nonnegative-matrix-tri-factorization-1710.11478</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convergent-algorithm-for-bi-orthogonal-nonnegative-matrix-tri-factorization-1710.11478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convergent-algorithm-for-bi-orthogonal-nonnegative-matrix-tri-factorization-1710.11478"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-as-a-mixed-convex-combinatorial-optimization-problem-1710.11573</loc><lastmod>2018-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-as-a-mixed-convex-combinatorial-optimization-problem-1710.11573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-as-a-mixed-convex-combinatorial-optimization-problem-1710.11573"/></url>
<url><loc>https://scifaro.com/en/abs/learning-depthwise-separable-graph-convolution-from-data-manifold-1710.11577</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-depthwise-separable-graph-convolution-from-data-manifold-1710.11577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-depthwise-separable-graph-convolution-from-data-manifold-1710.11577"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-and-universality-deep-representations-and-gradient-descent-can-approximate-any-learning-algorithm-1710.11622</loc><lastmod>2018-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-and-universality-deep-representations-and-gradient-descent-can-approximate-any-learning-algorithm-1710.11622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-and-universality-deep-representations-and-gradient-descent-can-approximate-any-learning-algorithm-1710.11622"/></url>
<url><loc>https://scifaro.com/en/abs/gene-ontology-go-prediction-using-machine-learning-methods-1711.00001</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gene-ontology-go-prediction-using-machine-learning-methods-1711.00001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gene-ontology-go-prediction-using-machine-learning-methods-1711.00001"/></url>
<url><loc>https://scifaro.com/en/abs/accelerate-rnn-based-training-with-importance-sampling-1711.00004</loc><lastmod>2017-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerate-rnn-based-training-with-importance-sampling-1711.00004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerate-rnn-based-training-with-importance-sampling-1711.00004"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-semi-supervised-audio-source-separation-applied-to-singing-voice-extraction-1711.00048</loc><lastmod>2018-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-semi-supervised-audio-source-separation-applied-to-singing-voice-extraction-1711.00048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-semi-supervised-audio-source-separation-applied-to-singing-voice-extraction-1711.00048"/></url>
<url><loc>https://scifaro.com/en/abs/long-term-forecasting-using-higher-order-tensor-rnns-1711.00073</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-term-forecasting-using-higher-order-tensor-rnns-1711.00073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-term-forecasting-using-higher-order-tensor-rnns-1711.00073"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-shared-hierarchies-deep-multitask-learning-through-soft-layer-ordering-1711.00108</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-shared-hierarchies-deep-multitask-learning-through-soft-layer-ordering-1711.00108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-shared-hierarchies-deep-multitask-learning-through-soft-layer-ordering-1711.00108"/></url>
<url><loc>https://scifaro.com/en/abs/backpropagation-through-the-void-optimizing-control-variates-for-black-box-gradient-estimation-1711.00123</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backpropagation-through-the-void-optimizing-control-variates-for-black-box-gradient-estimation-1711.00123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backpropagation-through-the-void-optimizing-control-variates-for-black-box-gradient-estimation-1711.00123"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-sparse-subspace-clustering-1711.00126</loc><lastmod>2017-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-sparse-subspace-clustering-1711.00126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-sparse-subspace-clustering-1711.00126"/></url>
<url><loc>https://scifaro.com/en/abs/training-gans-with-optimism-1711.00141</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-gans-with-optimism-1711.00141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-gans-with-optimism-1711.00141"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-variational-inference-for-bayesian-sparse-gaussian-process-regression-1711.00221</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-variational-inference-for-bayesian-sparse-gaussian-process-regression-1711.00221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-variational-inference-for-bayesian-sparse-gaussian-process-regression-1711.00221"/></url>
<url><loc>https://scifaro.com/en/abs/secure-classification-with-augmented-features-1711.00239</loc><lastmod>2017-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secure-classification-with-augmented-features-1711.00239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secure-classification-with-augmented-features-1711.00239"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-neighbors-on-teacher-graphs-for-semi-supervised-learning-1711.00258</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-neighbors-on-teacher-graphs-for-semi-supervised-learning-1711.00258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-neighbors-on-teacher-graphs-for-semi-supervised-learning-1711.00258"/></url>
<url><loc>https://scifaro.com/en/abs/avoiding-your-teacher-s-mistakes-training-neural-networks-with-controlled-weak-supervision-1711.00313</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avoiding-your-teacher-s-mistakes-training-neural-networks-with-controlled-weak-supervision-1711.00313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avoiding-your-teacher-s-mistakes-training-neural-networks-with-controlled-weak-supervision-1711.00313"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-machine-learning-power-and-limitations-1711.00342</loc><lastmod>2018-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-machine-learning-power-and-limitations-1711.00342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-machine-learning-power-and-limitations-1711.00342"/></url>
<url><loc>https://scifaro.com/en/abs/detection-for-5g-noma-an-online-adaptive-machine-learning-approach-1711.00355</loc><lastmod>2018-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-for-5g-noma-an-online-adaptive-machine-learning-approach-1711.00355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-for-5g-noma-an-online-adaptive-machine-learning-approach-1711.00355"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-representations-for-efficient-architecture-search-1711.00436</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-representations-for-efficient-architecture-search-1711.00436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-representations-for-efficient-architecture-search-1711.00436"/></url>
<url><loc>https://scifaro.com/en/abs/attacking-binarized-neural-networks-1711.00449</loc><lastmod>2018-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attacking-binarized-neural-networks-1711.00449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attacking-binarized-neural-networks-1711.00449"/></url>
<url><loc>https://scifaro.com/en/abs/fixing-a-broken-elbo-1711.00464</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixing-a-broken-elbo-1711.00464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixing-a-broken-elbo-1711.00464"/></url>
<url><loc>https://scifaro.com/en/abs/don-t-decay-the-learning-rate-increase-the-batch-size-1711.00489</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/don-t-decay-the-learning-rate-increase-the-batch-size-1711.00489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/don-t-decay-the-learning-rate-increase-the-batch-size-1711.00489"/></url>
<url><loc>https://scifaro.com/en/abs/learning-one-hidden-layer-neural-networks-with-landscape-design-1711.00501</loc><lastmod>2017-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-one-hidden-layer-neural-networks-with-landscape-design-1711.00501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-one-hidden-layer-neural-networks-with-landscape-design-1711.00501"/></url>
<url><loc>https://scifaro.com/en/abs/concave-losses-for-robust-dictionary-learning-1711.00659</loc><lastmod>2017-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concave-losses-for-robust-dictionary-learning-1711.00659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concave-losses-for-robust-dictionary-learning-1711.00659"/></url>
<url><loc>https://scifaro.com/en/abs/a-universal-marginalizer-for-amortized-inference-in-generative-models-1711.00695</loc><lastmod>2017-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-universal-marginalizer-for-amortized-inference-in-generative-models-1711.00695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-universal-marginalizer-for-amortized-inference-in-generative-models-1711.00695"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-represent-programs-with-graphs-1711.00740</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-represent-programs-with-graphs-1711.00740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-represent-programs-with-graphs-1711.00740"/></url>
<url><loc>https://scifaro.com/en/abs/network-size-independent-covering-number-bounds-for-deep-networks-1711.00753</loc><lastmod>2017-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-size-independent-covering-number-bounds-for-deep-networks-1711.00753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-size-independent-covering-number-bounds-for-deep-networks-1711.00753"/></url>
<url><loc>https://scifaro.com/en/abs/expressive-power-of-recurrent-neural-networks-1711.00811</loc><lastmod>2018-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expressive-power-of-recurrent-neural-networks-1711.00811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expressive-power-of-recurrent-neural-networks-1711.00811"/></url>
<url><loc>https://scifaro.com/en/abs/channel-masking-for-multivariate-time-series-shapelets-1711.00812</loc><lastmod>2017-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/channel-masking-for-multivariate-time-series-shapelets-1711.00812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/channel-masking-for-multivariate-time-series-shapelets-1711.00812"/></url>
<url><loc>https://scifaro.com/en/abs/oversampling-for-imbalanced-learning-based-on-k-means-and-smote-1711.00837</loc><lastmod>2020-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oversampling-for-imbalanced-learning-based-on-k-means-and-smote-1711.00837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oversampling-for-imbalanced-learning-based-on-k-means-and-smote-1711.00837"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-of-disentangled-latent-concepts-from-unlabeled-observations-1711.00848</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-of-disentangled-latent-concepts-from-unlabeled-observations-1711.00848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-of-disentangled-latent-concepts-from-unlabeled-observations-1711.00848"/></url>
<url><loc>https://scifaro.com/en/abs/provable-defenses-against-adversarial-examples-via-the-convex-outer-adversarial-polytope-1711.00851</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-defenses-against-adversarial-examples-via-the-convex-outer-adversarial-polytope-1711.00851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-defenses-against-adversarial-examples-via-the-convex-outer-adversarial-polytope-1711.00851"/></url>
<url><loc>https://scifaro.com/en/abs/structured-generative-adversarial-networks-1711.00889</loc><lastmod>2017-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-generative-adversarial-networks-1711.00889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-generative-adversarial-networks-1711.00889"/></url>
<url><loc>https://scifaro.com/en/abs/neural-discrete-representation-learning-1711.00937</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-discrete-representation-learning-1711.00937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-discrete-representation-learning-1711.00937"/></url>
<url><loc>https://scifaro.com/en/abs/deep-air-learning-interpolation-prediction-and-feature-analysis-of-fine-grained-air-quality-1711.00939</loc><lastmod>2018-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-air-learning-interpolation-prediction-and-feature-analysis-of-fine-grained-air-quality-1711.00939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-air-learning-interpolation-prediction-and-feature-analysis-of-fine-grained-air-quality-1711.00939"/></url>
<url><loc>https://scifaro.com/en/abs/deep-active-learning-over-the-long-tail-1711.00941</loc><lastmod>2017-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-active-learning-over-the-long-tail-1711.00941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-active-learning-over-the-long-tail-1711.00941"/></url>
<url><loc>https://scifaro.com/en/abs/learning-linear-dynamical-systems-via-spectral-filtering-1711.00946</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-linear-dynamical-systems-via-spectral-filtering-1711.00946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-linear-dynamical-systems-via-spectral-filtering-1711.00946"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-normality-learning-sparse-probabilistic-graphical-models-in-the-non-gaussian-setting-1711.00950</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-normality-learning-sparse-probabilistic-graphical-models-in-the-non-gaussian-setting-1711.00950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-normality-learning-sparse-probabilistic-graphical-models-in-the-non-gaussian-setting-1711.00950"/></url>
<url><loc>https://scifaro.com/en/abs/a-classification-based-study-of-covariate-shift-in-gan-distributions-1711.00970</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-classification-based-study-of-covariate-shift-in-gan-distributions-1711.00970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-classification-based-study-of-covariate-shift-in-gan-distributions-1711.00970"/></url>
<url><loc>https://scifaro.com/en/abs/from-which-world-is-your-graph-1711.00982</loc><lastmod>2017-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-which-world-is-your-graph-1711.00982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-which-world-is-your-graph-1711.00982"/></url>
<url><loc>https://scifaro.com/en/abs/sparsity-variance-and-curvature-in-multi-armed-bandits-1711.01037</loc><lastmod>2017-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsity-variance-and-curvature-in-multi-armed-bandits-1711.01037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsity-variance-and-curvature-in-multi-armed-bandits-1711.01037"/></url>
<url><loc>https://scifaro.com/en/abs/fuzzy-clustering-using-linguistic-valued-exponent-1711.01149</loc><lastmod>2017-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fuzzy-clustering-using-linguistic-valued-exponent-1711.01149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fuzzy-clustering-using-linguistic-valued-exponent-1711.01149"/></url>
<url><loc>https://scifaro.com/en/abs/routing-networks-adaptive-selection-of-non-linear-functions-for-multi-task-learning-1711.01239</loc><lastmod>2018-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/routing-networks-adaptive-selection-of-non-linear-functions-for-multi-task-learning-1711.01239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/routing-networks-adaptive-selection-of-non-linear-functions-for-multi-task-learning-1711.01239"/></url>
<url><loc>https://scifaro.com/en/abs/rebnet-residual-binarized-neural-network-1711.01243</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rebnet-residual-binarized-neural-network-1711.01243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rebnet-residual-binarized-neural-network-1711.01243"/></url>
<url><loc>https://scifaro.com/en/abs/sparsenn-an-energy-efficient-neural-network-accelerator-exploiting-input-and-output-sparsity-1711.01263</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsenn-an-energy-efficient-neural-network-accelerator-exploiting-input-and-output-sparsity-1711.01263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsenn-an-energy-efficient-neural-network-accelerator-exploiting-input-and-output-sparsity-1711.01263"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-kernel-in-quantum-learning-1711.01464</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-kernel-in-quantum-learning-1711.01464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-kernel-in-quantum-learning-1711.01464"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-supermodularity-bounds-for-experimental-design-1711.01501</loc><lastmod>2018-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-supermodularity-bounds-for-experimental-design-1711.01501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-supermodularity-bounds-for-experimental-design-1711.01501"/></url>
<url><loc>https://scifaro.com/en/abs/on-identification-of-distribution-grids-1711.01526</loc><lastmod>2020-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-identification-of-distribution-grids-1711.01526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-identification-of-distribution-grids-1711.01526"/></url>
<url><loc>https://scifaro.com/en/abs/fisher-rao-metric-geometry-and-complexity-of-neural-networks-1711.01530</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fisher-rao-metric-geometry-and-complexity-of-neural-networks-1711.01530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fisher-rao-metric-geometry-and-complexity-of-neural-networks-1711.01530"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-submodular-maximization-the-case-of-coverage-functions-1711.01566</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-submodular-maximization-the-case-of-coverage-functions-1711.01566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-submodular-maximization-the-case-of-coverage-functions-1711.01566"/></url>
<url><loc>https://scifaro.com/en/abs/the-effect-of-communication-on-noncooperative-multiplayer-multi-armed-bandit-problems-1711.01628</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effect-of-communication-on-noncooperative-multiplayer-multi-armed-bandit-problems-1711.01628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effect-of-communication-on-noncooperative-multiplayer-multi-armed-bandit-problems-1711.01628"/></url>
<url><loc>https://scifaro.com/en/abs/strategies-for-conceptual-change-in-convolutional-neural-networks-1711.01634</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strategies-for-conceptual-change-in-convolutional-neural-networks-1711.01634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strategies-for-conceptual-change-in-convolutional-neural-networks-1711.01634"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-partition-functions-in-constant-time-1711.01655</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-partition-functions-in-constant-time-1711.01655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-partition-functions-in-constant-time-1711.01655"/></url>
<url><loc>https://scifaro.com/en/abs/kgan-how-to-break-the-minimax-game-in-gan-1711.01744</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kgan-how-to-break-the-minimax-game-in-gan-1711.01744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kgan-how-to-break-the-minimax-game-in-gan-1711.01744"/></url>
<url><loc>https://scifaro.com/en/abs/adabatch-efficient-gradient-aggregation-rules-for-sequential-and-parallel-stochastic-gradient-methods-1711.01761</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adabatch-efficient-gradient-aggregation-rules-for-sequential-and-parallel-stochastic-gradient-methods-1711.01761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adabatch-efficient-gradient-aggregation-rules-for-sequential-and-parallel-stochastic-gradient-methods-1711.01761"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-block-sparse-signal-recovery-using-pattern-coupled-sparse-bayesian-learning-1711.01790</loc><lastmod>2017-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-block-sparse-signal-recovery-using-pattern-coupled-sparse-bayesian-learning-1711.01790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-block-sparse-signal-recovery-using-pattern-coupled-sparse-bayesian-learning-1711.01790"/></url>
<url><loc>https://scifaro.com/en/abs/online-tool-condition-monitoring-based-on-parsimonious-ensemble-1711.01843</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-tool-condition-monitoring-based-on-parsimonious-ensemble-1711.01843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-tool-condition-monitoring-based-on-parsimonious-ensemble-1711.01843"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-transport-maps-for-distribution-preserving-operations-on-latent-spaces-of-generative-models-1711.01970</loc><lastmod>2018-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-transport-maps-for-distribution-preserving-operations-on-latent-spaces-of-generative-models-1711.01970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-transport-maps-for-distribution-preserving-operations-on-latent-spaces-of-generative-models-1711.01970"/></url>
<url><loc>https://scifaro.com/en/abs/bounding-and-counting-linear-regions-of-deep-neural-networks-1711.02114</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounding-and-counting-linear-regions-of-deep-neural-networks-1711.02114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounding-and-counting-linear-regions-of-deep-neural-networks-1711.02114"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-sparse-connectivity-patterns-in-neural-networks-1711.02131</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-sparse-connectivity-patterns-in-neural-networks-1711.02131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-sparse-connectivity-patterns-in-neural-networks-1711.02131"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-bayesian-sampling-with-monte-carlo-em-1711.02159</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-bayesian-sampling-with-monte-carlo-em-1711.02159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-bayesian-sampling-with-monte-carlo-em-1711.02159"/></url>
<url><loc>https://scifaro.com/en/abs/flexpoint-an-adaptive-numerical-format-for-efficient-training-of-deep-neural-networks-1711.02213</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexpoint-an-adaptive-numerical-format-for-efficient-training-of-deep-neural-networks-1711.02213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexpoint-an-adaptive-numerical-format-for-efficient-training-of-deep-neural-networks-1711.02213"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-normalizing-flows-1711.02255</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-normalizing-flows-1711.02255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-normalizing-flows-1711.02255"/></url>
<url><loc>https://scifaro.com/en/abs/sketching-linear-classifiers-over-data-streams-1711.02305</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sketching-linear-classifiers-over-data-streams-1711.02305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sketching-linear-classifiers-over-data-streams-1711.02305"/></url>
<url><loc>https://scifaro.com/en/abs/learning-overcomplete-hmms-1711.02309</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-overcomplete-hmms-1711.02309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-overcomplete-hmms-1711.02309"/></url>
<url><loc>https://scifaro.com/en/abs/deeprain-convlstm-network-for-precipitation-prediction-using-multichannel-radar-data-1711.02316</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeprain-convlstm-network-for-precipitation-prediction-using-multichannel-radar-data-1711.02316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeprain-convlstm-network-for-precipitation-prediction-using-multichannel-radar-data-1711.02316"/></url>
<url><loc>https://scifaro.com/en/abs/fado-a-deterministic-detection-learning-algorithm-1711.02361</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fado-a-deterministic-detection-learning-algorithm-1711.02361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fado-a-deterministic-detection-learning-algorithm-1711.02361"/></url>
<url><loc>https://scifaro.com/en/abs/a-tutorial-on-canonical-correlation-methods-1711.02391</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-canonical-correlation-methods-1711.02391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-canonical-correlation-methods-1711.02391"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-lower-bound-for-the-information-bottleneck-limit-1711.02421</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-lower-bound-for-the-information-bottleneck-limit-1711.02421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-lower-bound-for-the-information-bottleneck-limit-1711.02421"/></url>
<url><loc>https://scifaro.com/en/abs/fault-detection-of-broken-rotor-bar-in-ls-pmsm-using-random-forests-1711.02510</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fault-detection-of-broken-rotor-bar-in-ls-pmsm-using-random-forests-1711.02510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fault-detection-of-broken-rotor-bar-in-ls-pmsm-using-random-forests-1711.02510"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-dr-submodular-maximization-structure-and-algorithms-1711.02515</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-dr-submodular-maximization-structure-and-algorithms-1711.02515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-dr-submodular-maximization-structure-and-algorithms-1711.02515"/></url>
<url><loc>https://scifaro.com/en/abs/unbounded-cache-model-for-online-language-modeling-with-open-vocabulary-1711.02604</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbounded-cache-model-for-online-language-modeling-with-open-vocabulary-1711.02604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbounded-cache-model-for-online-language-modeling-with-open-vocabulary-1711.02604"/></url>
<url><loc>https://scifaro.com/en/abs/safe-adaptive-importance-sampling-1711.02637</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-adaptive-importance-sampling-1711.02637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-adaptive-importance-sampling-1711.02637"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-limitations-of-encoder-decoder-gan-architectures-1711.02651</loc><lastmod>2017-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-limitations-of-encoder-decoder-gan-architectures-1711.02651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-limitations-of-encoder-decoder-gan-architectures-1711.02651"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-generative-adversarial-network-with-two-dimensional-sparse-coding-application-to-real-time-indoor-localization-1711.02666</loc><lastmod>2017-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-generative-adversarial-network-with-two-dimensional-sparse-coding-application-to-real-time-indoor-localization-1711.02666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-generative-adversarial-network-with-two-dimensional-sparse-coding-application-to-real-time-indoor-localization-1711.02666"/></url>
<url><loc>https://scifaro.com/en/abs/neural-variational-inference-and-learning-in-undirected-graphical-models-1711.02679</loc><lastmod>2017-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-variational-inference-and-learning-in-undirected-graphical-models-1711.02679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-variational-inference-and-learning-in-undirected-graphical-models-1711.02679"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-and-model-predictive-control-for-self-tuning-mode-locked-lasers-1711.02702</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-and-model-predictive-control-for-self-tuning-mode-locked-lasers-1711.02702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-and-model-predictive-control-for-self-tuning-mode-locked-lasers-1711.02702"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-discrimination-generalization-tradeoff-in-gans-1711.02771</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-discrimination-generalization-tradeoff-in-gans-1711.02771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-discrimination-generalization-tradeoff-in-gans-1711.02771"/></url>
<url><loc>https://scifaro.com/en/abs/block-sparse-recurrent-neural-networks-1711.02782</loc><lastmod>2017-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-sparse-recurrent-neural-networks-1711.02782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-sparse-recurrent-neural-networks-1711.02782"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-imagine-manipulation-goals-for-robot-task-planning-1711.02783</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-imagine-manipulation-goals-for-robot-task-planning-1711.02783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-imagine-manipulation-goals-for-robot-task-planning-1711.02783"/></url>
<url><loc>https://scifaro.com/en/abs/metric-learning-based-generative-adversarial-network-1711.02792</loc><lastmod>2017-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-learning-based-generative-adversarial-network-1711.02792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-learning-based-generative-adversarial-network-1711.02792"/></url>
<url><loc>https://scifaro.com/en/abs/fidelity-weighted-learning-1711.02799</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fidelity-weighted-learning-1711.02799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fidelity-weighted-learning-1711.02799"/></url>
<url><loc>https://scifaro.com/en/abs/deep-fault-analysis-and-subset-selection-in-solar-power-grids-1711.02810</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-fault-analysis-and-subset-selection-in-solar-power-grids-1711.02810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-fault-analysis-and-subset-selection-in-solar-power-grids-1711.02810"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-cubic-regularization-for-fast-nonconvex-optimization-1711.02838</loc><lastmod>2017-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-cubic-regularization-for-fast-nonconvex-optimization-1711.02838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-cubic-regularization-for-fast-nonconvex-optimization-1711.02838"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-visual-representations-with-leaky-capped-norm-regularizers-1711.02857</loc><lastmod>2017-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-visual-representations-with-leaky-capped-norm-regularizers-1711.02857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-visual-representations-with-leaky-capped-norm-regularizers-1711.02857"/></url>
<url><loc>https://scifaro.com/en/abs/latentpoison-adversarial-attacks-on-the-latent-space-1711.02879</loc><lastmod>2017-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latentpoison-adversarial-attacks-on-the-latent-space-1711.02879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latentpoison-adversarial-attacks-on-the-latent-space-1711.02879"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-with-feature-selection-using-alternating-minimization-application-to-computational-biology-1711.02974</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-with-feature-selection-using-alternating-minimization-application-to-computational-biology-1711.02974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-with-feature-selection-using-alternating-minimization-application-to-computational-biology-1711.02974"/></url>
<url><loc>https://scifaro.com/en/abs/recency-weighted-markovian-inference-1711.03038</loc><lastmod>2017-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recency-weighted-markovian-inference-1711.03038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recency-weighted-markovian-inference-1711.03038"/></url>
<url><loc>https://scifaro.com/en/abs/learning-k-way-d-dimensional-discrete-code-for-compact-embedding-representations-1711.03067</loc><lastmod>2017-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-k-way-d-dimensional-discrete-code-for-compact-embedding-representations-1711.03067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-k-way-d-dimensional-discrete-code-for-compact-embedding-representations-1711.03067"/></url>
<url><loc>https://scifaro.com/en/abs/dispersion-for-data-driven-algorithm-design-online-learning-and-private-optimization-1711.03091</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dispersion-for-data-driven-algorithm-design-online-learning-and-private-optimization-1711.03091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dispersion-for-data-driven-algorithm-design-online-learning-and-private-optimization-1711.03091"/></url>
<url><loc>https://scifaro.com/en/abs/energynet-energy-based-adaptive-structural-learning-of-artificial-neural-network-architectures-1711.03130</loc><lastmod>2017-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energynet-energy-based-adaptive-structural-learning-of-artificial-neural-network-architectures-1711.03130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energynet-energy-based-adaptive-structural-learning-of-artificial-neural-network-architectures-1711.03130"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-mean-field-games-for-modeling-large-population-behavior-1711.03156</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-mean-field-games-for-modeling-large-population-behavior-1711.03156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-mean-field-games-for-modeling-large-population-behavior-1711.03156"/></url>
<url><loc>https://scifaro.com/en/abs/learning-markov-chain-in-unordered-dataset-1711.03167</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-markov-chain-in-unordered-dataset-1711.03167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-markov-chain-in-unordered-dataset-1711.03167"/></url>
<url><loc>https://scifaro.com/en/abs/deep-hyperspherical-learning-1711.03189</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-hyperspherical-learning-1711.03189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-hyperspherical-learning-1711.03189"/></url>
<url><loc>https://scifaro.com/en/abs/learning-credible-models-1711.03190</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-credible-models-1711.03190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-credible-models-1711.03190"/></url>
<url><loc>https://scifaro.com/en/abs/long-term-online-smoothing-prediction-using-expert-advice-1711.03194</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-term-online-smoothing-prediction-using-expert-advice-1711.03194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-term-online-smoothing-prediction-using-expert-advice-1711.03194"/></url>
<url><loc>https://scifaro.com/en/abs/information-directed-sampling-for-stochastic-bandits-with-graph-feedback-1711.03198</loc><lastmod>2017-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-directed-sampling-for-stochastic-bandits-with-graph-feedback-1711.03198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-directed-sampling-for-stochastic-bandits-with-graph-feedback-1711.03198"/></url>
<url><loc>https://scifaro.com/en/abs/crafting-adversarial-examples-for-speech-paralinguistics-applications-1711.03280</loc><lastmod>2019-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crafting-adversarial-examples-for-speech-paralinguistics-applications-1711.03280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crafting-adversarial-examples-for-speech-paralinguistics-applications-1711.03280"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-dropout-in-online-learning-1711.03343</loc><lastmod>2017-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-dropout-in-online-learning-1711.03343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-dropout-in-online-learning-1711.03343"/></url>
<url><loc>https://scifaro.com/en/abs/multi-relevance-transfer-learning-1711.03361</loc><lastmod>2017-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-relevance-transfer-learning-1711.03361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-relevance-transfer-learning-1711.03361"/></url>
<url><loc>https://scifaro.com/en/abs/a-random-matrix-analysis-and-improvement-of-semi-supervised-learning-for-large-dimensional-data-1711.03404</loc><lastmod>2017-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-random-matrix-analysis-and-improvement-of-semi-supervised-learning-for-large-dimensional-data-1711.03404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-random-matrix-analysis-and-improvement-of-semi-supervised-learning-for-large-dimensional-data-1711.03404"/></url>
<url><loc>https://scifaro.com/en/abs/learning-non-overlapping-convolutional-neural-networks-with-multiple-kernels-1711.03440</loc><lastmod>2017-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-non-overlapping-convolutional-neural-networks-with-multiple-kernels-1711.03440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-non-overlapping-convolutional-neural-networks-with-multiple-kernels-1711.03440"/></url>
<url><loc>https://scifaro.com/en/abs/fast-meta-learning-for-adaptive-hierarchical-classifier-design-1711.03512</loc><lastmod>2017-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-meta-learning-for-adaptive-hierarchical-classifier-design-1711.03512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-meta-learning-for-adaptive-hierarchical-classifier-design-1711.03512"/></url>
<url><loc>https://scifaro.com/en/abs/a-change-detection-based-framework-for-piecewise-stationary-multi-armed-bandit-problem-1711.03539</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-change-detection-based-framework-for-piecewise-stationary-multi-armed-bandit-problem-1711.03539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-change-detection-based-framework-for-piecewise-stationary-multi-armed-bandit-problem-1711.03539"/></url>
<url><loc>https://scifaro.com/en/abs/dlpaper2code-auto-generation-of-code-from-deep-learning-research-papers-1711.03543</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dlpaper2code-auto-generation-of-code-from-deep-learning-research-papers-1711.03543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dlpaper2code-auto-generation-of-code-from-deep-learning-research-papers-1711.03543"/></url>
<url><loc>https://scifaro.com/en/abs/what-really-is-deep-learning-doing-1711.03577</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-really-is-deep-learning-doing-1711.03577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-really-is-deep-learning-doing-1711.03577"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-ucbv-an-almost-optimal-algorithm-using-variance-estimates-1711.03591</loc><lastmod>2018-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-ucbv-an-almost-optimal-algorithm-using-variance-estimates-1711.03591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-ucbv-an-almost-optimal-algorithm-using-variance-estimates-1711.03591"/></url>
<url><loc>https://scifaro.com/en/abs/small-loss-bounds-for-online-learning-with-partial-information-1711.03639</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-loss-bounds-for-online-learning-with-partial-information-1711.03639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-loss-bounds-for-online-learning-with-partial-information-1711.03639"/></url>
<url><loc>https://scifaro.com/en/abs/online-deep-learning-learning-deep-neural-networks-on-the-fly-1711.03705</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-deep-learning-learning-deep-neural-networks-on-the-fly-1711.03705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-deep-learning-learning-deep-neural-networks-on-the-fly-1711.03705"/></url>
<url><loc>https://scifaro.com/en/abs/learning-under-p-tampering-attacks-1711.03707</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-under-p-tampering-attacks-1711.03707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-under-p-tampering-attacks-1711.03707"/></url>
<url><loc>https://scifaro.com/en/abs/quantized-memory-augmented-neural-networks-1711.03712</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantized-memory-augmented-neural-networks-1711.03712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantized-memory-augmented-neural-networks-1711.03712"/></url>
<url><loc>https://scifaro.com/en/abs/lstm-networks-for-data-aware-remaining-time-prediction-of-business-process-instances-1711.03822</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lstm-networks-for-data-aware-remaining-time-prediction-of-business-process-instances-1711.03822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lstm-networks-for-data-aware-remaining-time-prediction-of-business-process-instances-1711.03822"/></url>
<url><loc>https://scifaro.com/en/abs/d-slats-distributed-simultaneous-localization-and-time-synchronization-1711.03906</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/d-slats-distributed-simultaneous-localization-and-time-synchronization-1711.03906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/d-slats-distributed-simultaneous-localization-and-time-synchronization-1711.03906"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-method-for-stochastic-composition-optimization-with-nonsmooth-regularization-1711.03937</loc><lastmod>2018-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-method-for-stochastic-composition-optimization-with-nonsmooth-regularization-1711.03937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-method-for-stochastic-composition-optimization-with-nonsmooth-regularization-1711.03937"/></url>
<url><loc>https://scifaro.com/en/abs/carla-an-open-urban-driving-simulator-1711.03938</loc><lastmod>2017-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/carla-an-open-urban-driving-simulator-1711.03938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/carla-an-open-urban-driving-simulator-1711.03938"/></url>
<url><loc>https://scifaro.com/en/abs/applications-of-deep-learning-and-reinforcement-learning-to-biological-data-1711.03985</loc><lastmod>2018-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applications-of-deep-learning-and-reinforcement-learning-to-biological-data-1711.03985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applications-of-deep-learning-and-reinforcement-learning-to-biological-data-1711.03985"/></url>
<url><loc>https://scifaro.com/en/abs/deep-within-class-covariance-analysis-for-robust-audio-representation-learning-1711.04022</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-within-class-covariance-analysis-for-robust-audio-representation-learning-1711.04022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-within-class-covariance-analysis-for-robust-audio-representation-learning-1711.04022"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-for-disease-prediction-from-electronic-health-records-with-missing-data-1711.04126</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-for-disease-prediction-from-electronic-health-records-with-missing-data-1711.04126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-for-disease-prediction-from-electronic-health-records-with-missing-data-1711.04126"/></url>
<url><loc>https://scifaro.com/en/abs/a-sparse-graph-structured-lasso-mixed-model-for-genetic-association-with-confounding-correction-1711.04162</loc><lastmod>2023-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sparse-graph-structured-lasso-mixed-model-for-genetic-association-with-confounding-correction-1711.04162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sparse-graph-structured-lasso-mixed-model-for-genetic-association-with-confounding-correction-1711.04162"/></url>
<url><loc>https://scifaro.com/en/abs/cur-decompositions-similarity-matrices-and-subspace-clustering-1711.04178</loc><lastmod>2018-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cur-decompositions-similarity-matrices-and-subspace-clustering-1711.04178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cur-decompositions-similarity-matrices-and-subspace-clustering-1711.04178"/></url>
<url><loc>https://scifaro.com/en/abs/skyline-identification-in-multi-armed-bandits-1711.04213</loc><lastmod>2018-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skyline-identification-in-multi-armed-bandits-1711.04213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skyline-identification-in-multi-armed-bandits-1711.04213"/></url>
<url><loc>https://scifaro.com/en/abs/linking-sequences-of-events-with-sparse-or-no-common-occurrence-across-data-sets-1711.04248</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linking-sequences-of-events-with-sparse-or-no-common-occurrence-across-data-sets-1711.04248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linking-sequences-of-events-with-sparse-or-no-common-occurrence-across-data-sets-1711.04248"/></url>
<url><loc>https://scifaro.com/en/abs/unified-spectral-clustering-with-optimal-graph-1711.04258</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-spectral-clustering-with-optimal-graph-1711.04258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-spectral-clustering-with-optimal-graph-1711.04258"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-erm-principle-with-networked-data-1711.04297</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-erm-principle-with-networked-data-1711.04297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-erm-principle-with-networked-data-1711.04297"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-approach-for-efficient-uncertainty-quantification-using-multiscale-methods-1711.04315</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-approach-for-efficient-uncertainty-quantification-using-multiscale-methods-1711.04315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-approach-for-efficient-uncertainty-quantification-using-multiscale-methods-1711.04315"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-hard-and-soft-clustering-with-regularized-optimal-transport-1711.04366</loc><lastmod>2024-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-hard-and-soft-clustering-with-regularized-optimal-transport-1711.04366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-hard-and-soft-clustering-with-regularized-optimal-transport-1711.04366"/></url>
<url><loc>https://scifaro.com/en/abs/machine-vs-machine-minimax-optimal-defense-against-adversarial-examples-1711.04368</loc><lastmod>2018-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-vs-machine-minimax-optimal-defense-against-adversarial-examples-1711.04368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-vs-machine-minimax-optimal-defense-against-adversarial-examples-1711.04368"/></url>
<url><loc>https://scifaro.com/en/abs/sparsification-of-the-alignment-path-search-space-in-dynamic-time-warping-1711.04453</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsification-of-the-alignment-path-search-space-in-dynamic-time-warping-1711.04453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsification-of-the-alignment-path-search-space-in-dynamic-time-warping-1711.04453"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-neural-network-representation-for-image-classification-1711.04606</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-neural-network-representation-for-image-classification-1711.04606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-neural-network-representation-for-image-classification-1711.04606"/></url>
<url><loc>https://scifaro.com/en/abs/three-factors-influencing-minima-in-sgd-1711.04623</loc><lastmod>2018-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/three-factors-influencing-minima-in-sgd-1711.04623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/three-factors-influencing-minima-in-sgd-1711.04623"/></url>
<url><loc>https://scifaro.com/en/abs/attention-based-information-fusion-using-multi-encoder-decoder-recurrent-neural-networks-1711.04679</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-based-information-fusion-using-multi-encoder-decoder-recurrent-neural-networks-1711.04679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-based-information-fusion-using-multi-encoder-decoder-recurrent-neural-networks-1711.04679"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-decompositions-for-modeling-inverse-dynamics-1711.04683</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-decompositions-for-modeling-inverse-dynamics-1711.04683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-decompositions-for-modeling-inverse-dynamics-1711.04683"/></url>
<url><loc>https://scifaro.com/en/abs/weightless-lossy-weight-encoding-for-deep-neural-network-compression-1711.04686</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weightless-lossy-weight-encoding-for-deep-neural-network-compression-1711.04686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weightless-lossy-weight-encoding-for-deep-neural-network-compression-1711.04686"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-the-geosciences-challenges-and-opportunities-1711.04708</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-the-geosciences-challenges-and-opportunities-1711.04708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-the-geosciences-challenges-and-opportunities-1711.04708"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-data-mining-a-survey-of-problems-and-methods-1711.04710</loc><lastmod>2017-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-data-mining-a-survey-of-problems-and-methods-1711.04710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-data-mining-a-survey-of-problems-and-methods-1711.04710"/></url>
<url><loc>https://scifaro.com/en/abs/adaption-toolbox-and-benchmark-for-training-convolutional-neural-networks-with-reduced-numerical-precision-weights-and-activation-1711.04713</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaption-toolbox-and-benchmark-for-training-convolutional-neural-networks-with-reduced-numerical-precision-weights-and-activation-1711.04713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaption-toolbox-and-benchmark-for-training-convolutional-neural-networks-with-reduced-numerical-precision-weights-and-activation-1711.04713"/></url>
<url><loc>https://scifaro.com/en/abs/resurrecting-the-sigmoid-in-deep-learning-through-dynamical-isometry-theory-and-practice-1711.04735</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resurrecting-the-sigmoid-in-deep-learning-through-dynamical-isometry-theory-and-practice-1711.04735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resurrecting-the-sigmoid-in-deep-learning-through-dynamical-isometry-theory-and-practice-1711.04735"/></url>
<url><loc>https://scifaro.com/en/abs/found-in-translation-predicting-outcomes-of-complex-organic-chemistry-reactions-using-neural-sequence-to-sequence-models-1711.04810</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/found-in-translation-predicting-outcomes-of-complex-organic-chemistry-reactions-using-neural-sequence-to-sequence-models-1711.04810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/found-in-translation-predicting-outcomes-of-complex-organic-chemistry-reactions-using-neural-sequence-to-sequence-models-1711.04810"/></url>
<url><loc>https://scifaro.com/en/abs/sobolev-gan-1711.04894</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sobolev-gan-1711.04894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sobolev-gan-1711.04894"/></url>
<url><loc>https://scifaro.com/en/abs/pylemmings-large-margin-multiple-instance-classification-and-ranking-for-bioinformatics-applications-1711.04913</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pylemmings-large-margin-multiple-instance-classification-and-ranking-for-bioinformatics-applications-1711.04913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pylemmings-large-margin-multiple-instance-classification-and-ranking-for-bioinformatics-applications-1711.04913"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-symmetric-variational-autoencoder-1711.04915</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-symmetric-variational-autoencoder-1711.04915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-symmetric-variational-autoencoder-1711.04915"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-sample-complexity-for-convex-tensor-completion-1711.04965</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-sample-complexity-for-convex-tensor-completion-1711.04965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-sample-complexity-for-convex-tensor-completion-1711.04965"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-source-adaptation-for-regression-problems-1711.05037</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-source-adaptation-for-regression-problems-1711.05037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-source-adaptation-for-regression-problems-1711.05037"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-principal-projection-for-cost-sensitive-online-multi-label-classification-1711.05060</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-principal-projection-for-cost-sensitive-online-multi-label-classification-1711.05060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-principal-projection-for-cost-sensitive-online-multi-label-classification-1711.05060"/></url>
<url><loc>https://scifaro.com/en/abs/robust-matrix-elastic-net-based-canonical-correlation-analysis-an-effective-algorithm-for-multi-view-unsupervised-learning-1711.05068</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-matrix-elastic-net-based-canonical-correlation-analysis-an-effective-algorithm-for-multi-view-unsupervised-learning-1711.05068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-matrix-elastic-net-based-canonical-correlation-analysis-an-effective-algorithm-for-multi-view-unsupervised-learning-1711.05068"/></url>
<url><loc>https://scifaro.com/en/abs/tripletgan-training-generative-model-with-triplet-loss-1711.05084</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tripletgan-training-generative-model-with-triplet-loss-1711.05084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tripletgan-training-generative-model-with-triplet-loss-1711.05084"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-data-scarcity-with-transfer-learning-1711.05099</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-data-scarcity-with-transfer-learning-1711.05099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-data-scarcity-with-transfer-learning-1711.05099"/></url>
<url><loc>https://scifaro.com/en/abs/decoupled-weight-decay-regularization-1711.05101</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupled-weight-decay-regularization-1711.05101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupled-weight-decay-regularization-1711.05101"/></url>
<url><loc>https://scifaro.com/en/abs/preventing-fairness-gerrymandering-auditing-and-learning-for-subgroup-fairness-1711.05144</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preventing-fairness-gerrymandering-auditing-and-learning-for-subgroup-fairness-1711.05144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preventing-fairness-gerrymandering-auditing-and-learning-for-subgroup-fairness-1711.05144"/></url>
<url><loc>https://scifaro.com/en/abs/a-learning-problem-that-is-independent-of-the-set-theory-zfc-axioms-1711.05195</loc><lastmod>2017-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-learning-problem-that-is-independent-of-the-set-theory-zfc-axioms-1711.05195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-learning-problem-that-is-independent-of-the-set-theory-zfc-axioms-1711.05195"/></url>
<url><loc>https://scifaro.com/en/abs/loss-functions-for-multiset-prediction-1711.05246</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-functions-for-multiset-prediction-1711.05246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-functions-for-multiset-prediction-1711.05246"/></url>
<url><loc>https://scifaro.com/en/abs/deep-esn-a-multiple-projection-encoding-hierarchical-reservoir-computing-framework-1711.05255</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-esn-a-multiple-projection-encoding-hierarchical-reservoir-computing-framework-1711.05255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-esn-a-multiple-projection-encoding-hierarchical-reservoir-computing-framework-1711.05255"/></url>
<url><loc>https://scifaro.com/en/abs/liuboost-locality-informed-underboosting-for-imbalanced-data-classification-1711.05365</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/liuboost-locality-informed-underboosting-for-imbalanced-data-classification-1711.05365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/liuboost-locality-informed-underboosting-for-imbalanced-data-classification-1711.05365"/></url>
<url><loc>https://scifaro.com/en/abs/semiblind-subgraph-reconstruction-in-gaussian-graphical-models-1711.05391</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semiblind-subgraph-reconstruction-in-gaussian-graphical-models-1711.05391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semiblind-subgraph-reconstruction-in-gaussian-graphical-models-1711.05391"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-and-robust-tsvm-for-pattern-classification-1711.05406</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-and-robust-tsvm-for-pattern-classification-1711.05406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-and-robust-tsvm-for-pattern-classification-1711.05406"/></url>
<url><loc>https://scifaro.com/en/abs/the-best-defense-is-a-good-offense-countering-black-box-attacks-by-predicting-slightly-wrong-labels-1711.05475</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-best-defense-is-a-good-offense-countering-black-box-attacks-by-predicting-slightly-wrong-labels-1711.05475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-best-defense-is-a-good-offense-countering-black-box-attacks-by-predicting-slightly-wrong-labels-1711.05475"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-estimation-of-generalization-error-and-bias-variance-components-of-ensembles-1711.05482</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-estimation-of-generalization-error-and-bias-variance-components-of-ensembles-1711.05482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-estimation-of-generalization-error-and-bias-variance-components-of-ensembles-1711.05482"/></url>
<url><loc>https://scifaro.com/en/abs/advances-in-variational-inference-1711.05597</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advances-in-variational-inference-1711.05597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advances-in-variational-inference-1711.05597"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-layerwise-convexity-of-rectifier-networks-with-sign-constrained-weights-1711.05627</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-layerwise-convexity-of-rectifier-networks-with-sign-constrained-weights-1711.05627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-layerwise-convexity-of-rectifier-networks-with-sign-constrained-weights-1711.05627"/></url>
<url><loc>https://scifaro.com/en/abs/motif-based-convolutional-neural-network-on-graphs-1711.05697</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/motif-based-convolutional-neural-network-on-graphs-1711.05697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/motif-based-convolutional-neural-network-on-graphs-1711.05697"/></url>
<url><loc>https://scifaro.com/en/abs/cswa-aggregation-free-spatial-temporal-community-sensing-1711.05712</loc><lastmod>2017-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cswa-aggregation-free-spatial-temporal-community-sensing-1711.05712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cswa-aggregation-free-spatial-temporal-community-sensing-1711.05712"/></url>
<url><loc>https://scifaro.com/en/abs/latent-constraints-learning-to-generate-conditionally-from-unconditional-generative-models-1711.05772</loc><lastmod>2017-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-constraints-learning-to-generate-conditionally-from-unconditional-generative-models-1711.05772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-constraints-learning-to-generate-conditionally-from-unconditional-generative-models-1711.05772"/></url>
<url><loc>https://scifaro.com/en/abs/aggregated-wasserstein-metric-and-state-registration-for-hidden-markov-models-1711.05792</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregated-wasserstein-metric-and-state-registration-for-hidden-markov-models-1711.05792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregated-wasserstein-metric-and-state-registration-for-hidden-markov-models-1711.05792"/></url>
<url><loc>https://scifaro.com/en/abs/orbit-ordering-based-information-transfer-across-space-and-time-for-global-surface-water-monitoring-1711.05799</loc><lastmod>2017-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orbit-ordering-based-information-transfer-across-space-and-time-for-global-surface-water-monitoring-1711.05799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orbit-ordering-based-information-transfer-across-space-and-time-for-global-surface-water-monitoring-1711.05799"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-modeling-of-seed-variety-yields-and-decision-making-for-future-planting-plans-1711.05809</loc><lastmod>2017-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-modeling-of-seed-variety-yields-and-decision-making-for-future-planting-plans-1711.05809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-modeling-of-seed-variety-yields-and-decision-making-for-future-planting-plans-1711.05809"/></url>
<url><loc>https://scifaro.com/en/abs/costate-focused-models-for-reinforcement-learning-1711.05817</loc><lastmod>2018-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/costate-focused-models-for-reinforcement-learning-1711.05817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/costate-focused-models-for-reinforcement-learning-1711.05817"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-learning-via-class-conditioned-deep-generative-models-1711.05820</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-learning-via-class-conditioned-deep-generative-models-1711.05820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-learning-via-class-conditioned-deep-generative-models-1711.05820"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-transfer-for-surgical-activity-prediction-1711.05848</loc><lastmod>2017-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-transfer-for-surgical-activity-prediction-1711.05848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-transfer-for-surgical-activity-prediction-1711.05848"/></url>
<url><loc>https://scifaro.com/en/abs/apprentice-using-knowledge-distillation-techniques-to-improve-low-precision-network-accuracy-1711.05852</loc><lastmod>2017-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/apprentice-using-knowledge-distillation-techniques-to-improve-low-precision-network-accuracy-1711.05852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/apprentice-using-knowledge-distillation-techniques-to-improve-low-precision-network-accuracy-1711.05852"/></url>
<url><loc>https://scifaro.com/en/abs/pricing-football-players-using-neural-networks-1711.05865</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pricing-football-players-using-neural-networks-1711.05865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pricing-football-players-using-neural-networks-1711.05865"/></url>
<url><loc>https://scifaro.com/en/abs/on-communication-complexity-of-classification-problems-1711.05893</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-communication-complexity-of-classification-problems-1711.05893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-communication-complexity-of-classification-problems-1711.05893"/></url>
<url><loc>https://scifaro.com/en/abs/how-generative-adversarial-networks-and-their-variants-work-an-overview-1711.05914</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-generative-adversarial-networks-and-their-variants-work-an-overview-1711.05914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-generative-adversarial-networks-and-their-variants-work-an-overview-1711.05914"/></url>
<url><loc>https://scifaro.com/en/abs/budget-constrained-multi-armed-bandits-with-multiple-plays-1711.05928</loc><lastmod>2017-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/budget-constrained-multi-armed-bandits-with-multiple-plays-1711.05928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/budget-constrained-multi-armed-bandits-with-multiple-plays-1711.05928"/></url>
<url><loc>https://scifaro.com/en/abs/less-forgetful-learning-for-domain-expansion-in-deep-neural-networks-1711.05959</loc><lastmod>2017-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/less-forgetful-learning-for-domain-expansion-in-deep-neural-networks-1711.05959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/less-forgetful-learning-for-domain-expansion-in-deep-neural-networks-1711.05959"/></url>
<url><loc>https://scifaro.com/en/abs/hindsight-policy-gradients-1711.06006</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hindsight-policy-gradients-1711.06006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hindsight-policy-gradients-1711.06006"/></url>
<url><loc>https://scifaro.com/en/abs/towards-better-understanding-of-gradient-based-attribution-methods-for-deep-neural-networks-1711.06104</loc><lastmod>2018-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-better-understanding-of-gradient-based-attribution-methods-for-deep-neural-networks-1711.06104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-better-understanding-of-gradient-based-attribution-methods-for-deep-neural-networks-1711.06104"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-driver-stress-detection-with-multi-task-neural-networks-using-physiological-signals-1711.06116</loc><lastmod>2017-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-driver-stress-detection-with-multi-task-neural-networks-using-physiological-signals-1711.06116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-driver-stress-detection-with-multi-task-neural-networks-using-physiological-signals-1711.06116"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-best-arm-identification-for-selecting-influenza-mitigation-strategies-1711.06299</loc><lastmod>2018-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-best-arm-identification-for-selecting-influenza-mitigation-strategies-1711.06299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-best-arm-identification-for-selecting-influenza-mitigation-strategies-1711.06299"/></url>
<url><loc>https://scifaro.com/en/abs/towards-deep-learning-models-for-psychological-state-prediction-using-smartphone-data-challenges-and-opportunities-1711.06350</loc><lastmod>2017-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-deep-learning-models-for-psychological-state-prediction-using-smartphone-data-challenges-and-opportunities-1711.06350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-deep-learning-models-for-psychological-state-prediction-using-smartphone-data-challenges-and-opportunities-1711.06350"/></url>
<url><loc>https://scifaro.com/en/abs/large-neural-network-based-detection-of-apnea-bradycardia-and-desaturation-events-1711.06484</loc><lastmod>2017-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-neural-network-based-detection-of-apnea-bradycardia-and-desaturation-events-1711.06484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-neural-network-based-detection-of-apnea-bradycardia-and-desaturation-events-1711.06484"/></url>
<url><loc>https://scifaro.com/en/abs/training-simplification-and-model-simplification-for-deep-learning-a-minimal-effort-back-propagation-method-1711.06528</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-simplification-and-model-simplification-for-deep-learning-a-minimal-effort-back-propagation-method-1711.06528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-simplification-and-model-simplification-for-deep-learning-a-minimal-effort-back-propagation-method-1711.06528"/></url>
<url><loc>https://scifaro.com/en/abs/introduction-to-intelligent-computing-unit-1-1711.06552</loc><lastmod>2017-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introduction-to-intelligent-computing-unit-1-1711.06552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introduction-to-intelligent-computing-unit-1-1711.06552"/></url>
<url><loc>https://scifaro.com/en/abs/an-iterative-closest-points-approach-to-neural-generative-models-1711.06562</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-iterative-closest-points-approach-to-neural-generative-models-1711.06562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-iterative-closest-points-approach-to-neural-generative-models-1711.06562"/></url>
<url><loc>https://scifaro.com/en/abs/neon2-finding-local-minima-via-first-order-oracles-1711.06673</loc><lastmod>2018-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neon2-finding-local-minima-via-first-order-oracles-1711.06673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neon2-finding-local-minima-via-first-order-oracles-1711.06673"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-recollections-for-continual-lifelong-learning-1711.06761</loc><lastmod>2018-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-recollections-for-continual-lifelong-learning-1711.06761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-recollections-for-continual-lifelong-learning-1711.06761"/></url>
<url><loc>https://scifaro.com/en/abs/leave-no-trace-learning-to-reset-for-safe-and-autonomous-reinforcement-learning-1711.06782</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leave-no-trace-learning-to-reset-for-safe-and-autonomous-reinforcement-learning-1711.06782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leave-no-trace-learning-to-reset-for-safe-and-autonomous-reinforcement-learning-1711.06782"/></url>
<url><loc>https://scifaro.com/en/abs/morphnet-fast-simple-resource-constrained-structure-learning-of-deep-networks-1711.06798</loc><lastmod>2018-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/morphnet-fast-simple-resource-constrained-structure-learning-of-deep-networks-1711.06798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/morphnet-fast-simple-resource-constrained-structure-learning-of-deep-networks-1711.06798"/></url>
<url><loc>https://scifaro.com/en/abs/from-common-to-special-when-multi-attribute-learning-meets-personalized-opinions-1711.06867</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-common-to-special-when-multi-attribute-learning-meets-personalized-opinions-1711.06867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-common-to-special-when-multi-attribute-learning-meets-personalized-opinions-1711.06867"/></url>
<url><loc>https://scifaro.com/en/abs/interleaver-design-for-deep-neural-networks-1711.06935</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interleaver-design-for-deep-neural-networks-1711.06935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interleaver-design-for-deep-neural-networks-1711.06935"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-randomized-matrix-factorization-for-gaussian-processes-efficient-predictions-and-hyper-parameter-optimization-1711.06989</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-randomized-matrix-factorization-for-gaussian-processes-efficient-predictions-and-hyper-parameter-optimization-1711.06989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-randomized-matrix-factorization-for-gaussian-processes-efficient-predictions-and-hyper-parameter-optimization-1711.06989"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-oscillating-error-classifier-with-branching-1711.07042</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-oscillating-error-classifier-with-branching-1711.07042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-oscillating-error-classifier-with-branching-1711.07042"/></url>
<url><loc>https://scifaro.com/en/abs/deletion-robust-submodular-maximization-at-scale-1711.07112</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deletion-robust-submodular-maximization-at-scale-1711.07112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deletion-robust-submodular-maximization-at-scale-1711.07112"/></url>
<url><loc>https://scifaro.com/en/abs/model-extraction-warning-in-mlaas-paradigm-1711.07221</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-extraction-warning-in-mlaas-paradigm-1711.07221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-extraction-warning-in-mlaas-paradigm-1711.07221"/></url>
<url><loc>https://scifaro.com/en/abs/positive-semi-definite-embedding-for-dimensionality-reduction-and-out-of-sample-extensions-1711.07271</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/positive-semi-definite-embedding-for-dimensionality-reduction-and-out-of-sample-extensions-1711.07271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/positive-semi-definite-embedding-for-dimensionality-reduction-and-out-of-sample-extensions-1711.07271"/></url>
<url><loc>https://scifaro.com/en/abs/learning-steerable-filters-for-rotation-equivariant-cnns-1711.07289</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-steerable-filters-for-rotation-equivariant-cnns-1711.07289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-steerable-filters-for-rotation-equivariant-cnns-1711.07289"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-robustness-of-neural-networks-with-mixed-integer-programming-1711.07356</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-robustness-of-neural-networks-with-mixed-integer-programming-1711.07356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-robustness-of-neural-networks-with-mixed-integer-programming-1711.07356"/></url>
<url><loc>https://scifaro.com/en/abs/modular-continual-learning-in-a-unified-visual-environment-1711.07425</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modular-continual-learning-in-a-unified-visual-environment-1711.07425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modular-continual-learning-in-a-unified-visual-environment-1711.07425"/></url>
<url><loc>https://scifaro.com/en/abs/deep-approximately-orthogonal-nonnegative-matrix-factorization-for-clustering-1711.07437</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-approximately-orthogonal-nonnegative-matrix-factorization-for-clustering-1711.07437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-approximately-orthogonal-nonnegative-matrix-factorization-for-clustering-1711.07437"/></url>
<url><loc>https://scifaro.com/en/abs/bidirectional-conditional-generative-adversarial-networks-1711.07461</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bidirectional-conditional-generative-adversarial-networks-1711.07461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bidirectional-conditional-generative-adversarial-networks-1711.07461"/></url>
<url><loc>https://scifaro.com/en/abs/better-agnostic-clustering-via-relaxed-tensor-norms-1711.07465</loc><lastmod>2017-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-agnostic-clustering-via-relaxed-tensor-norms-1711.07465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-agnostic-clustering-via-relaxed-tensor-norms-1711.07465"/></url>
<url><loc>https://scifaro.com/en/abs/virtual-adversarial-ladder-networks-for-semi-supervised-learning-1711.07476</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/virtual-adversarial-ladder-networks-for-semi-supervised-learning-1711.07476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/virtual-adversarial-ladder-networks-for-semi-supervised-learning-1711.07476"/></url>
<url><loc>https://scifaro.com/en/abs/implementing-the-deep-q-network-1711.07478</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementing-the-deep-q-network-1711.07478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementing-the-deep-q-network-1711.07478"/></url>
<url><loc>https://scifaro.com/en/abs/residual-gated-graph-convnets-1711.07553</loc><lastmod>2018-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-gated-graph-convnets-1711.07553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-gated-graph-convnets-1711.07553"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-more-reliable-privacy-preserving-recommender-system-1711.07638</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-more-reliable-privacy-preserving-recommender-system-1711.07638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-more-reliable-privacy-preserving-recommender-system-1711.07638"/></url>
<url><loc>https://scifaro.com/en/abs/transferring-agent-behaviors-from-videos-via-motion-gans-1711.07676</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferring-agent-behaviors-from-videos-via-motion-gans-1711.07676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferring-agent-behaviors-from-videos-via-motion-gans-1711.07676"/></url>
<url><loc>https://scifaro.com/en/abs/a-two-dimensional-decomposition-approach-for-matrix-completion-through-gossip-1711.07684</loc><lastmod>2018-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-two-dimensional-decomposition-approach-for-matrix-completion-through-gossip-1711.07684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-two-dimensional-decomposition-approach-for-matrix-completion-through-gossip-1711.07684"/></url>
<url><loc>https://scifaro.com/en/abs/using-stochastic-computation-graphs-formalism-for-optimization-of-sequence-to-sequence-model-1711.07724</loc><lastmod>2017-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-stochastic-computation-graphs-formalism-for-optimization-of-sequence-to-sequence-model-1711.07724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-stochastic-computation-graphs-formalism-for-optimization-of-sequence-to-sequence-model-1711.07724"/></url>
<url><loc>https://scifaro.com/en/abs/variational-probability-flow-for-biologically-plausible-training-of-deep-neural-networks-1711.07732</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-probability-flow-for-biologically-plausible-training-of-deep-neural-networks-1711.07732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-probability-flow-for-biologically-plausible-training-of-deep-neural-networks-1711.07732"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-deep-learning-generalization-by-maximum-entropy-1711.07758</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-deep-learning-generalization-by-maximum-entropy-1711.07758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-deep-learning-generalization-by-maximum-entropy-1711.07758"/></url>
<url><loc>https://scifaro.com/en/abs/hidden-tree-markov-networks-deep-and-wide-learning-for-structured-data-1711.07784</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hidden-tree-markov-networks-deep-and-wide-learning-for-structured-data-1711.07784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hidden-tree-markov-networks-deep-and-wide-learning-for-structured-data-1711.07784"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-internal-representation-of-spectral-features-in-deep-convolutional-networks-trained-for-eeg-decoding-1711.07792</loc><lastmod>2018-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-internal-representation-of-spectral-features-in-deep-convolutional-networks-trained-for-eeg-decoding-1711.07792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-internal-representation-of-spectral-features-in-deep-convolutional-networks-trained-for-eeg-decoding-1711.07792"/></url>
<url><loc>https://scifaro.com/en/abs/on-breast-cancer-detection-an-application-of-machine-learning-algorithms-on-the-wisconsin-diagnostic-dataset-1711.07831</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-breast-cancer-detection-an-application-of-machine-learning-algorithms-on-the-wisconsin-diagnostic-dataset-1711.07831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-breast-cancer-detection-an-application-of-machine-learning-algorithms-on-the-wisconsin-diagnostic-dataset-1711.07831"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-network-embedding-1711.07838</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-network-embedding-1711.07838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-network-embedding-1711.07838"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-generative-autoencoder-in-de-novo-molecular-design-1711.07839</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-generative-autoencoder-in-de-novo-molecular-design-1711.07839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-generative-autoencoder-in-de-novo-molecular-design-1711.07839"/></url>
<url><loc>https://scifaro.com/en/abs/recover-missing-sensor-data-with-iterative-imputing-network-1711.07878</loc><lastmod>2017-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recover-missing-sensor-data-with-iterative-imputing-network-1711.07878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recover-missing-sensor-data-with-iterative-imputing-network-1711.07878"/></url>
<url><loc>https://scifaro.com/en/abs/training-large-margin-host-pathogen-protein-protein-interaction-predictors-1711.07886</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-large-margin-host-pathogen-protein-protein-interaction-predictors-1711.07886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-large-margin-host-pathogen-protein-protein-interaction-predictors-1711.07886"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-sampling-for-large-scale-reinforcement-learning-1711.07979</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-sampling-for-large-scale-reinforcement-learning-1711.07979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-sampling-for-large-scale-reinforcement-learning-1711.07979"/></url>
<url><loc>https://scifaro.com/en/abs/finding-algebraic-structure-of-care-in-time-a-deep-learning-approach-1711.07980</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-algebraic-structure-of-care-in-time-a-deep-learning-approach-1711.07980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-algebraic-structure-of-care-in-time-a-deep-learning-approach-1711.07980"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcing-adversarial-robustness-using-model-confidence-induced-by-adversarial-training-1711.08001</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcing-adversarial-robustness-using-model-confidence-induced-by-adversarial-training-1711.08001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcing-adversarial-robustness-using-model-confidence-induced-by-adversarial-training-1711.08001"/></url>
<url><loc>https://scifaro.com/en/abs/relating-input-concepts-to-convolutional-neural-network-decisions-1711.08006</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relating-input-concepts-to-convolutional-neural-network-decisions-1711.08006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relating-input-concepts-to-convolutional-neural-network-decisions-1711.08006"/></url>
<url><loc>https://scifaro.com/en/abs/the-riemannian-geometry-of-deep-generative-models-1711.08014</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-riemannian-geometry-of-deep-generative-models-1711.08014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-riemannian-geometry-of-deep-generative-models-1711.08014"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-positive-unlabelled-learning-1711.08054</loc><lastmod>2018-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-positive-unlabelled-learning-1711.08054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-positive-unlabelled-learning-1711.08054"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-instance-cascaded-classification-for-keyword-spotting-in-narrow-band-audio-1711.08058</loc><lastmod>2025-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-instance-cascaded-classification-for-keyword-spotting-in-narrow-band-audio-1711.08058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-instance-cascaded-classification-for-keyword-spotting-in-narrow-band-audio-1711.08058"/></url>
<url><loc>https://scifaro.com/en/abs/snect-scalable-network-constrained-tucker-decomposition-for-integrative-multi-platform-data-analysis-1711.08095</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/snect-scalable-network-constrained-tucker-decomposition-for-integrative-multi-platform-data-analysis-1711.08095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/snect-scalable-network-constrained-tucker-decomposition-for-integrative-multi-platform-data-analysis-1711.08095"/></url>
<url><loc>https://scifaro.com/en/abs/learning-discrete-distributions-from-untrusted-batches-1711.08113</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-discrete-distributions-from-untrusted-batches-1711.08113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-discrete-distributions-from-untrusted-batches-1711.08113"/></url>
<url><loc>https://scifaro.com/en/abs/a-quantum-inspired-ensemble-method-and-quantum-inspired-forest-regressors-1711.08117</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-quantum-inspired-ensemble-method-and-quantum-inspired-forest-regressors-1711.08117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-quantum-inspired-ensemble-method-and-quantum-inspired-forest-regressors-1711.08117"/></url>
<url><loc>https://scifaro.com/en/abs/locally-smoothed-neural-networks-1711.08132</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-smoothed-neural-networks-1711.08132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-smoothed-neural-networks-1711.08132"/></url>
<url><loc>https://scifaro.com/en/abs/post-hoc-labeling-of-arbitrary-eeg-recordings-for-data-efficient-evaluation-of-neural-decoding-methods-1711.08208</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-hoc-labeling-of-arbitrary-eeg-recordings-for-data-efficient-evaluation-of-neural-decoding-methods-1711.08208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-hoc-labeling-of-arbitrary-eeg-recordings-for-data-efficient-evaluation-of-neural-decoding-methods-1711.08208"/></url>
<url><loc>https://scifaro.com/en/abs/graphgan-graph-representation-learning-with-generative-adversarial-nets-1711.08267</loc><lastmod>2017-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphgan-graph-representation-learning-with-generative-adversarial-nets-1711.08267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphgan-graph-representation-learning-with-generative-adversarial-nets-1711.08267"/></url>
<url><loc>https://scifaro.com/en/abs/utilizing-artificial-neural-networks-to-predict-demand-for-weather-sensitive-products-at-retail-stores-1711.08325</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/utilizing-artificial-neural-networks-to-predict-demand-for-weather-sensitive-products-at-retail-stores-1711.08325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/utilizing-artificial-neural-networks-to-predict-demand-for-weather-sensitive-products-at-retail-stores-1711.08325"/></url>
<url><loc>https://scifaro.com/en/abs/learning-user-preferences-to-incentivize-exploration-in-the-sharing-economy-1711.08331</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-user-preferences-to-incentivize-exploration-in-the-sharing-economy-1711.08331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-user-preferences-to-incentivize-exploration-in-the-sharing-economy-1711.08331"/></url>
<url><loc>https://scifaro.com/en/abs/asymmetric-variational-autoencoders-1711.08352</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymmetric-variational-autoencoders-1711.08352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymmetric-variational-autoencoders-1711.08352"/></url>
<url><loc>https://scifaro.com/en/abs/equivalence-of-equilibrium-propagation-and-recurrent-backpropagation-1711.08416</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivalence-of-equilibrium-propagation-and-recurrent-backpropagation-1711.08416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivalence-of-equilibrium-propagation-and-recurrent-backpropagation-1711.08416"/></url>
<url><loc>https://scifaro.com/en/abs/from-monte-carlo-to-las-vegas-improving-restricted-boltzmann-machine-training-through-stopping-sets-1711.08442</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-monte-carlo-to-las-vegas-improving-restricted-boltzmann-machine-training-through-stopping-sets-1711.08442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-monte-carlo-to-las-vegas-improving-restricted-boltzmann-machine-training-through-stopping-sets-1711.08442"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-relief-based-feature-selection-methods-for-bioinformatics-data-mining-1711.08477</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-relief-based-feature-selection-methods-for-bioinformatics-data-mining-1711.08477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-relief-based-feature-selection-methods-for-bioinformatics-data-mining-1711.08477"/></url>
<url><loc>https://scifaro.com/en/abs/magnet-and-efficient-defenses-against-adversarial-attacks-are-not-robust-to-adversarial-examples-1711.08478</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/magnet-and-efficient-defenses-against-adversarial-attacks-are-not-robust-to-adversarial-examples-1711.08478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/magnet-and-efficient-defenses-against-adversarial-attacks-are-not-robust-to-adversarial-examples-1711.08478"/></url>
<url><loc>https://scifaro.com/en/abs/calibration-for-the-computationally-identifiable-masses-1711.08513</loc><lastmod>2018-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibration-for-the-computationally-identifiable-masses-1711.08513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibration-for-the-computationally-identifiable-masses-1711.08513"/></url>
<url><loc>https://scifaro.com/en/abs/safer-classification-by-synthesis-1711.08534</loc><lastmod>2018-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safer-classification-by-synthesis-1711.08534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safer-classification-by-synthesis-1711.08534"/></url>
<url><loc>https://scifaro.com/en/abs/online-clustering-of-contextual-cascading-bandits-1711.08594</loc><lastmod>2019-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-clustering-of-contextual-cascading-bandits-1711.08594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-clustering-of-contextual-cascading-bandits-1711.08594"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-training-procedure-for-neural-autoregressive-data-completion-1711.08598</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-training-procedure-for-neural-autoregressive-data-completion-1711.08598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-training-procedure-for-neural-autoregressive-data-completion-1711.08598"/></url>
<url><loc>https://scifaro.com/en/abs/ive-gan-invariant-encoding-generative-adversarial-networks-1711.08646</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ive-gan-invariant-encoding-generative-adversarial-networks-1711.08646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ive-gan-invariant-encoding-generative-adversarial-networks-1711.08646"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-missing-data-in-temporal-data-streams-using-multi-directional-recurrent-neural-networks-1711.08742</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-missing-data-in-temporal-data-streams-using-multi-directional-recurrent-neural-networks-1711.08742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-missing-data-in-temporal-data-streams-using-multi-directional-recurrent-neural-networks-1711.08742"/></url>
<url><loc>https://scifaro.com/en/abs/diversity-promoting-bayesian-learning-of-latent-variable-models-1711.08770</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversity-promoting-bayesian-learning-of-latent-variable-models-1711.08770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversity-promoting-bayesian-learning-of-latent-variable-models-1711.08770"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-real-time-crime-forecasting-and-its-ternarization-1711.08833</loc><lastmod>2017-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-real-time-crime-forecasting-and-its-ternarization-1711.08833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-real-time-crime-forecasting-and-its-ternarization-1711.08833"/></url>
<url><loc>https://scifaro.com/en/abs/critical-learning-periods-in-deep-neural-networks-1711.08856</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/critical-learning-periods-in-deep-neural-networks-1711.08856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/critical-learning-periods-in-deep-neural-networks-1711.08856"/></url>
<url><loc>https://scifaro.com/en/abs/action-branching-architectures-for-deep-reinforcement-learning-1711.08946</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/action-branching-architectures-for-deep-reinforcement-learning-1711.08946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/action-branching-architectures-for-deep-reinforcement-learning-1711.08946"/></url>
<url><loc>https://scifaro.com/en/abs/invariance-of-weight-distributions-in-rectified-mlps-1711.09090</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariance-of-weight-distributions-in-rectified-mlps-1711.09090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariance-of-weight-distributions-in-rectified-mlps-1711.09090"/></url>
<url><loc>https://scifaro.com/en/abs/demystifying-alphago-zero-as-alphago-gan-1711.09091</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-alphago-zero-as-alphago-gan-1711.09091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-alphago-zero-as-alphago-gan-1711.09091"/></url>
<url><loc>https://scifaro.com/en/abs/warped-linear-models-for-time-series-classification-1711.09156</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/warped-linear-models-for-time-series-classification-1711.09156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/warped-linear-models-for-time-series-classification-1711.09156"/></url>
<url><loc>https://scifaro.com/en/abs/jade-joint-autoencoders-for-dis-entanglement-1711.09163</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jade-joint-autoencoders-for-dis-entanglement-1711.09163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jade-joint-autoencoders-for-dis-entanglement-1711.09163"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-dynamics-and-content-for-control-and-planning-1711.09165</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-dynamics-and-content-for-control-and-planning-1711.09165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-dynamics-and-content-for-control-and-planning-1711.09165"/></url>
<url><loc>https://scifaro.com/en/abs/fitting-jump-models-1711.09220</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitting-jump-models-1711.09220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitting-jump-models-1711.09220"/></url>
<url><loc>https://scifaro.com/en/abs/malaria-likelihood-prediction-by-effectively-surveying-households-using-deep-reinforcement-learning-1711.09223</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/malaria-likelihood-prediction-by-effectively-surveying-households-using-deep-reinforcement-learning-1711.09223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/malaria-likelihood-prediction-by-effectively-surveying-households-using-deep-reinforcement-learning-1711.09223"/></url>
<url><loc>https://scifaro.com/en/abs/expectation-maximization-transfer-learning-and-its-application-for-bionic-hand-prostheses-1711.09256</loc><lastmod>2018-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expectation-maximization-transfer-learning-and-its-application-for-bionic-hand-prostheses-1711.09256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expectation-maximization-transfer-learning-and-its-application-for-bionic-hand-prostheses-1711.09256"/></url>
<url><loc>https://scifaro.com/en/abs/learning-less-overlapping-representations-1711.09300</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-less-overlapping-representations-1711.09300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-less-overlapping-representations-1711.09300"/></url>
<url><loc>https://scifaro.com/en/abs/inference-of-spatio-temporal-functions-over-graphs-via-multi-kernel-kriged-kalman-filtering-1711.09306</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-of-spatio-temporal-functions-over-graphs-via-multi-kernel-kriged-kalman-filtering-1711.09306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-of-spatio-temporal-functions-over-graphs-via-multi-kernel-kriged-kalman-filtering-1711.09306"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-adversarial-robustness-and-interpretability-of-deep-neural-networks-by-regularizing-their-input-gradients-1711.09404</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-adversarial-robustness-and-interpretability-of-deep-neural-networks-by-regularizing-their-input-gradients-1711.09404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-adversarial-robustness-and-interpretability-of-deep-neural-networks-by-regularizing-their-input-gradients-1711.09404"/></url>
<url><loc>https://scifaro.com/en/abs/extracting-automata-from-recurrent-neural-networks-using-queries-and-counterexamples-1711.09576</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extracting-automata-from-recurrent-neural-networks-using-queries-and-counterexamples-1711.09576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extracting-automata-from-recurrent-neural-networks-using-queries-and-counterexamples-1711.09576"/></url>
<url><loc>https://scifaro.com/en/abs/butterfly-effect-bidirectional-control-of-classification-performance-by-small-additive-perturbation-1711.09681</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/butterfly-effect-bidirectional-control-of-classification-performance-by-small-additive-perturbation-1711.09681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/butterfly-effect-bidirectional-control-of-classification-performance-by-small-additive-perturbation-1711.09681"/></url>
<url><loc>https://scifaro.com/en/abs/data-dependent-kernel-approximation-using-pseudo-random-fourier-features-1711.09783</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-dependent-kernel-approximation-using-pseudo-random-fourier-features-1711.09783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-dependent-kernel-approximation-using-pseudo-random-fourier-features-1711.09783"/></url>
<url><loc>https://scifaro.com/en/abs/distilling-a-neural-network-into-a-soft-decision-tree-1711.09784</loc><lastmod>2017-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilling-a-neural-network-into-a-soft-decision-tree-1711.09784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilling-a-neural-network-into-a-soft-decision-tree-1711.09784"/></url>
<url><loc>https://scifaro.com/en/abs/population-based-training-of-neural-networks-1711.09846</loc><lastmod>2017-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/population-based-training-of-neural-networks-1711.09846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/population-based-training-of-neural-networks-1711.09846"/></url>
<url><loc>https://scifaro.com/en/abs/divide-and-conquer-reinforcement-learning-1711.09874</loc><lastmod>2018-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/divide-and-conquer-reinforcement-learning-1711.09874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/divide-and-conquer-reinforcement-learning-1711.09874"/></url>
<url><loc>https://scifaro.com/en/abs/ai-safety-gridworlds-1711.09883</loc><lastmod>2017-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ai-safety-gridworlds-1711.09883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ai-safety-gridworlds-1711.09883"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-via-the-differential-privacy-lens-1711.10019</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-via-the-differential-privacy-lens-1711.10019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-via-the-differential-privacy-lens-1711.10019"/></url>
<url><loc>https://scifaro.com/en/abs/active-regression-via-linear-sample-sparsification-1711.10051</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-regression-via-linear-sample-sparsification-1711.10051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-regression-via-linear-sample-sparsification-1711.10051"/></url>
<url><loc>https://scifaro.com/en/abs/adversary-detection-in-neural-networks-via-persistent-homology-1711.10056</loc><lastmod>2017-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversary-detection-in-neural-networks-via-persistent-homology-1711.10056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversary-detection-in-neural-networks-via-persistent-homology-1711.10056"/></url>
<url><loc>https://scifaro.com/en/abs/a-parameter-free-learning-automaton-scheme-1711.10111</loc><lastmod>2017-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-parameter-free-learning-automaton-scheme-1711.10111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-parameter-free-learning-automaton-scheme-1711.10111"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-cluster-in-order-to-transfer-across-domains-and-tasks-1711.10125</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-cluster-in-order-to-transfer-across-domains-and-tasks-1711.10125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-cluster-in-order-to-transfer-across-domains-and-tasks-1711.10125"/></url>
<url><loc>https://scifaro.com/en/abs/snorkel-rapid-training-data-creation-with-weak-supervision-1711.10160</loc><lastmod>2017-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/snorkel-rapid-training-data-creation-with-weak-supervision-1711.10160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/snorkel-rapid-training-data-creation-with-weak-supervision-1711.10160"/></url>
<url><loc>https://scifaro.com/en/abs/topological-recurrent-neural-network-for-diffusion-prediction-1711.10162</loc><lastmod>2017-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-recurrent-neural-network-for-diffusion-prediction-1711.10162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-recurrent-neural-network-for-diffusion-prediction-1711.10162"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-policy-search-via-return-weighted-density-estimation-1711.10173</loc><lastmod>2017-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-policy-search-via-return-weighted-density-estimation-1711.10173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-policy-search-via-return-weighted-density-estimation-1711.10173"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-between-class-examples-for-deep-sound-recognition-1711.10282</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-between-class-examples-for-deep-sound-recognition-1711.10282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-between-class-examples-for-deep-sound-recognition-1711.10282"/></url>
<url><loc>https://scifaro.com/en/abs/between-class-learning-for-image-classification-1711.10284</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/between-class-learning-for-image-classification-1711.10284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/between-class-learning-for-image-classification-1711.10284"/></url>
<url><loc>https://scifaro.com/en/abs/providing-theoretical-learning-guarantees-to-deep-learning-networks-1711.10292</loc><lastmod>2017-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/providing-theoretical-learning-guarantees-to-deep-learning-networks-1711.10292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/providing-theoretical-learning-guarantees-to-deep-learning-networks-1711.10292"/></url>
<url><loc>https://scifaro.com/en/abs/complex-structure-leads-to-overfitting-a-structure-regularization-decoding-method-for-natural-language-processing-1711.10331</loc><lastmod>2017-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complex-structure-leads-to-overfitting-a-structure-regularization-decoding-method-for-natural-language-processing-1711.10331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complex-structure-leads-to-overfitting-a-structure-regularization-decoding-method-for-natural-language-processing-1711.10331"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-wavenet-fast-high-fidelity-speech-synthesis-1711.10433</loc><lastmod>2017-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-wavenet-fast-high-fidelity-speech-synthesis-1711.10433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-wavenet-fast-high-fidelity-speech-synthesis-1711.10433"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-gradient-descent-escapes-saddle-points-faster-than-gradient-descent-1711.10456</loc><lastmod>2017-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-gradient-descent-escapes-saddle-points-faster-than-gradient-descent-1711.10456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-gradient-descent-escapes-saddle-points-faster-than-gradient-descent-1711.10456"/></url>
<url><loc>https://scifaro.com/en/abs/plan-attend-generate-planning-for-sequence-to-sequence-models-1711.10462</loc><lastmod>2017-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plan-attend-generate-planning-for-sequence-to-sequence-models-1711.10462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plan-attend-generate-planning-for-sequence-to-sequence-models-1711.10462"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-regularization-in-nonconvex-statistical-estimation-gradient-descent-converges-linearly-for-phase-retrieval-matrix-completion-and-blind-deconvolution-1711.10467</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-regularization-in-nonconvex-statistical-estimation-gradient-descent-converges-linearly-for-phase-retrieval-matrix-completion-and-blind-deconvolution-1711.10467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-regularization-in-nonconvex-statistical-estimation-gradient-descent-converges-linearly-for-phase-retrieval-matrix-completion-and-blind-deconvolution-1711.10467"/></url>
<url><loc>https://scifaro.com/en/abs/fearnet-brain-inspired-model-for-incremental-learning-1711.10563</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fearnet-brain-inspired-model-for-incremental-learning-1711.10563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fearnet-brain-inspired-model-for-incremental-learning-1711.10563"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-outlier-interpretation-1711.10589</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-outlier-interpretation-1711.10589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-outlier-interpretation-1711.10589"/></url>
<url><loc>https://scifaro.com/en/abs/tensorflow-distributions-1711.10604</loc><lastmod>2017-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensorflow-distributions-1711.10604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensorflow-distributions-1711.10604"/></url>
<url><loc>https://scifaro.com/en/abs/private-federated-learning-on-vertically-partitioned-data-via-entity-resolution-and-additively-homomorphic-encryption-1711.10677</loc><lastmod>2017-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-federated-learning-on-vertically-partitioned-data-via-entity-resolution-and-additively-homomorphic-encryption-1711.10677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-federated-learning-on-vertically-partitioned-data-via-entity-resolution-and-additively-homomorphic-encryption-1711.10677"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-popularity-of-online-videos-via-deep-neural-networks-1711.10718</loc><lastmod>2017-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-popularity-of-online-videos-via-deep-neural-networks-1711.10718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-popularity-of-online-videos-via-deep-neural-networks-1711.10718"/></url>
<url><loc>https://scifaro.com/en/abs/automating-vehicles-by-deep-reinforcement-learning-using-task-separation-with-hill-climbing-1711.10785</loc><lastmod>2018-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automating-vehicles-by-deep-reinforcement-learning-using-task-separation-with-hill-climbing-1711.10785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automating-vehicles-by-deep-reinforcement-learning-using-task-separation-with-hill-climbing-1711.10785"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-exploration-with-double-uncertain-value-networks-1711.10789</loc><lastmod>2017-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-exploration-with-double-uncertain-value-networks-1711.10789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-exploration-with-double-uncertain-value-networks-1711.10789"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-to-adapt-speech-enhancement-to-instantaneous-input-signal-quality-1711.10791</loc><lastmod>2018-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-to-adapt-speech-enhancement-to-instantaneous-input-signal-quality-1711.10791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-to-adapt-speech-enhancement-to-instantaneous-input-signal-quality-1711.10791"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-and-active-few-shot-learning-with-prototypical-networks-1711.10856</loc><lastmod>2018-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-and-active-few-shot-learning-with-prototypical-networks-1711.10856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-and-active-few-shot-learning-with-prototypical-networks-1711.10856"/></url>
<url><loc>https://scifaro.com/en/abs/causality-refined-diagnostic-prediction-1711.10915</loc><lastmod>2017-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causality-refined-diagnostic-prediction-1711.10915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causality-refined-diagnostic-prediction-1711.10915"/></url>
<url><loc>https://scifaro.com/en/abs/npc-neighbors-progressive-competition-algorithm-for-classification-of-imbalanced-data-sets-1711.10934</loc><lastmod>2017-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/npc-neighbors-progressive-competition-algorithm-for-classification-of-imbalanced-data-sets-1711.10934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/npc-neighbors-progressive-competition-algorithm-for-classification-of-imbalanced-data-sets-1711.10934"/></url>
<url><loc>https://scifaro.com/en/abs/extreme-dimension-reduction-for-handling-covariate-shift-1711.10938</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extreme-dimension-reduction-for-handling-covariate-shift-1711.10938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extreme-dimension-reduction-for-handling-covariate-shift-1711.10938"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-data-driven-framework-for-risk-characterization-and-prediction-from-electronic-medical-records-a-case-study-of-renal-failure-1711.11022</loc><lastmod>2017-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-data-driven-framework-for-risk-characterization-and-prediction-from-electronic-medical-records-a-case-study-of-renal-failure-1711.11022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-data-driven-framework-for-risk-characterization-and-prediction-from-electronic-medical-records-a-case-study-of-renal-failure-1711.11022"/></url>
<url><loc>https://scifaro.com/en/abs/paradoxes-in-fair-computer-aided-decision-making-1711.11066</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/paradoxes-in-fair-computer-aided-decision-making-1711.11066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/paradoxes-in-fair-computer-aided-decision-making-1711.11066"/></url>
<url><loc>https://scifaro.com/en/abs/hsc-a-novel-method-for-clustering-hierarchies-of-networked-data-1711.11071</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hsc-a-novel-method-for-clustering-hierarchies-of-networked-data-1711.11071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hsc-a-novel-method-for-clustering-hierarchies-of-networked-data-1711.11071"/></url>
<url><loc>https://scifaro.com/en/abs/easy-high-dimensional-likelihood-free-inference-1711.11139</loc><lastmod>2018-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/easy-high-dimensional-likelihood-free-inference-1711.11139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/easy-high-dimensional-likelihood-free-inference-1711.11139"/></url>
<url><loc>https://scifaro.com/en/abs/safe-exploration-for-identifying-linear-systems-via-robust-optimization-1711.11165</loc><lastmod>2017-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-exploration-for-identifying-linear-systems-via-robust-optimization-1711.11165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-exploration-for-identifying-linear-systems-via-robust-optimization-1711.11165"/></url>
<url><loc>https://scifaro.com/en/abs/state-space-lstm-models-with-particle-mcmc-inference-1711.11179</loc><lastmod>2017-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-space-lstm-models-with-particle-mcmc-inference-1711.11179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-space-lstm-models-with-particle-mcmc-inference-1711.11179"/></url>
<url><loc>https://scifaro.com/en/abs/variational-deep-q-network-1711.11225</loc><lastmod>2017-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-deep-q-network-1711.11225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-deep-q-network-1711.11225"/></url>
<url><loc>https://scifaro.com/en/abs/provably-noise-robust-regularised-k-means-clustering-1711.11247</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-noise-robust-regularised-k-means-clustering-1711.11247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-noise-robust-regularised-k-means-clustering-1711.11247"/></url>
<url><loc>https://scifaro.com/en/abs/towards-accurate-binary-convolutional-neural-network-1711.11294</loc><lastmod>2017-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-accurate-binary-convolutional-neural-network-1711.11294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-accurate-binary-convolutional-neural-network-1711.11294"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-time-series-classification-with-weasel-muse-1711.11343</loc><lastmod>2018-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-time-series-classification-with-weasel-muse-1711.11343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-time-series-classification-with-weasel-muse-1711.11343"/></url>
<url><loc>https://scifaro.com/en/abs/convnets-and-imagenet-beyond-accuracy-understanding-mistakes-and-uncovering-biases-1711.11443</loc><lastmod>2018-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convnets-and-imagenet-beyond-accuracy-understanding-mistakes-and-uncovering-biases-1711.11443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convnets-and-imagenet-beyond-accuracy-understanding-mistakes-and-uncovering-biases-1711.11443"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-adapt-by-minimizing-discrepancy-1711.11542</loc><lastmod>2017-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-adapt-by-minimizing-discrepancy-1711.11542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-adapt-by-minimizing-discrepancy-1711.11542"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-the-tendency-of-cnns-to-learn-surface-statistical-regularities-1711.11561</loc><lastmod>2017-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-the-tendency-of-cnns-to-learn-surface-statistical-regularities-1711.11561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-the-tendency-of-cnns-to-learn-surface-statistical-regularities-1711.11561"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-vae-improving-deep-generative-models-using-partial-observations-1711.11566</loc><lastmod>2017-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-vae-improving-deep-generative-models-using-partial-observations-1711.11566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-vae-improving-deep-generative-models-using-partial-observations-1711.11566"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-information-flow-through-deep-neural-networks-1712.00003</loc><lastmod>2017-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-information-flow-through-deep-neural-networks-1712.00003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-information-flow-through-deep-neural-networks-1712.00003"/></url>
<url><loc>https://scifaro.com/en/abs/learnings-options-end-to-end-for-continuous-action-tasks-1712.00004</loc><lastmod>2017-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learnings-options-end-to-end-for-continuous-action-tasks-1712.00004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learnings-options-end-to-end-for-continuous-action-tasks-1712.00004"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-deep-reinforcement-learning-and-evolutionary-methods-in-continuous-control-1712.00006</loc><lastmod>2018-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-deep-reinforcement-learning-and-evolutionary-methods-in-continuous-control-1712.00006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-deep-reinforcement-learning-and-evolutionary-methods-in-continuous-control-1712.00006"/></url>
<url><loc>https://scifaro.com/en/abs/highrisk-prediction-from-electronic-medical-records-via-deep-attention-networks-1712.00010</loc><lastmod>2017-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/highrisk-prediction-from-electronic-medical-records-via-deep-attention-networks-1712.00010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/highrisk-prediction-from-electronic-medical-records-via-deep-attention-networks-1712.00010"/></url>
<url><loc>https://scifaro.com/en/abs/feature-discovery-and-visualization-of-robot-mission-data-using-convolutional-autoencoders-and-bayesian-nonparametric-topic-models-1712.00028</loc><lastmod>2018-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-discovery-and-visualization-of-robot-mission-data-using-convolutional-autoencoders-and-bayesian-nonparametric-topic-models-1712.00028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-discovery-and-visualization-of-robot-mission-data-using-convolutional-autoencoders-and-bayesian-nonparametric-topic-models-1712.00028"/></url>
<url><loc>https://scifaro.com/en/abs/paris-lille-3d-a-large-and-high-quality-ground-truth-urban-point-cloud-dataset-for-automatic-segmentation-and-classification-1712.00032</loc><lastmod>2018-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/paris-lille-3d-a-large-and-high-quality-ground-truth-urban-point-cloud-dataset-for-automatic-segmentation-and-classification-1712.00032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/paris-lille-3d-a-large-and-high-quality-ground-truth-urban-point-cloud-dataset-for-automatic-segmentation-and-classification-1712.00032"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-and-manycore-systems-design-a-serendipitous-symbiosis-1712.00076</loc><lastmod>2017-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-and-manycore-systems-design-a-serendipitous-symbiosis-1712.00076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-and-manycore-systems-design-a-serendipitous-symbiosis-1712.00076"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-networks-for-electronic-health-records-a-framework-for-exploring-and-evaluating-methods-for-predicting-drug-induced-laboratory-test-trajectories-1712.00164</loc><lastmod>2017-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-electronic-health-records-a-framework-for-exploring-and-evaluating-methods-for-predicting-drug-induced-laboratory-test-trajectories-1712.00164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-electronic-health-records-a-framework-for-exploring-and-evaluating-methods-for-predicting-drug-induced-laboratory-test-trajectories-1712.00164"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-gaussian-processes-for-future-prediction-of-alzheimer-s-disease-progression-1712.00181</loc><lastmod>2018-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-gaussian-processes-for-future-prediction-of-alzheimer-s-disease-progression-1712.00181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-gaussian-processes-for-future-prediction-of-alzheimer-s-disease-progression-1712.00181"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-stratified-locality-sensitive-hashing-for-critical-event-prediction-in-the-cloud-1712.00206</loc><lastmod>2017-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-stratified-locality-sensitive-hashing-for-critical-event-prediction-in-the-cloud-1712.00206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-stratified-locality-sensitive-hashing-for-critical-event-prediction-in-the-cloud-1712.00206"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-with-permutation-invariant-operator-for-multi-instance-histopathology-classification-1712.00310</loc><lastmod>2017-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-with-permutation-invariant-operator-for-multi-instance-histopathology-classification-1712.00310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-with-permutation-invariant-operator-for-multi-instance-histopathology-classification-1712.00310"/></url>
<url><loc>https://scifaro.com/en/abs/time-limits-in-reinforcement-learning-1712.00378</loc><lastmod>2022-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-limits-in-reinforcement-learning-1712.00378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-limits-in-reinforcement-learning-1712.00378"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-adaptive-computation-time-1712.00386</loc><lastmod>2017-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-adaptive-computation-time-1712.00386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-adaptive-computation-time-1712.00386"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-scaling-is-predictable-empirically-1712.00409</loc><lastmod>2017-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-scaling-is-predictable-empirically-1712.00409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-scaling-is-predictable-empirically-1712.00409"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-network-architectures-for-modulation-classification-1712.00443</loc><lastmod>2018-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-architectures-for-modulation-classification-1712.00443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-architectures-for-modulation-classification-1712.00443"/></url>
<url><loc>https://scifaro.com/en/abs/subject-selection-on-a-riemannian-manifold-for-unsupervised-cross-subject-seizure-detection-1712.00465</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subject-selection-on-a-riemannian-manifold-for-unsupervised-cross-subject-seizure-detection-1712.00465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subject-selection-on-a-riemannian-manifold-for-unsupervised-cross-subject-seizure-detection-1712.00465"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-constrained-topic-models-for-antidepressant-recommendation-1712.00499</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-constrained-topic-models-for-antidepressant-recommendation-1712.00499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-constrained-topic-models-for-antidepressant-recommendation-1712.00499"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-stochastic-volatility-model-1712.00504</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-stochastic-volatility-model-1712.00504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-stochastic-volatility-model-1712.00504"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-sampled-softmax-with-kernel-based-sampling-1712.00527</loc><lastmod>2018-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-sampled-softmax-with-kernel-based-sampling-1712.00527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-sampled-softmax-with-kernel-based-sampling-1712.00527"/></url>
<url><loc>https://scifaro.com/en/abs/where-classification-fails-interpretation-rises-1712.00558</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/where-classification-fails-interpretation-rises-1712.00558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/where-classification-fails-interpretation-rises-1712.00558"/></url>
<url><loc>https://scifaro.com/en/abs/anesthesiologist-level-forecasting-of-hypoxemia-with-only-spo2-data-using-deep-learning-1712.00563</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anesthesiologist-level-forecasting-of-hypoxemia-with-only-spo2-data-using-deep-learning-1712.00563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anesthesiologist-level-forecasting-of-hypoxemia-with-only-spo2-data-using-deep-learning-1712.00563"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-hashing-based-on-energy-minimization-1712.00573</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-hashing-based-on-energy-minimization-1712.00573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-hashing-based-on-energy-minimization-1712.00573"/></url>
<url><loc>https://scifaro.com/en/abs/tracking-the-best-expert-in-non-stationary-stochastic-environments-1712.00578</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tracking-the-best-expert-in-non-stationary-stochastic-environments-1712.00578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tracking-the-best-expert-in-non-stationary-stochastic-environments-1712.00578"/></url>
<url><loc>https://scifaro.com/en/abs/online-reinforcement-learning-in-stochastic-games-1712.00579</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-reinforcement-learning-in-stochastic-games-1712.00579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-reinforcement-learning-in-stochastic-games-1712.00579"/></url>
<url><loc>https://scifaro.com/en/abs/magent-a-many-agent-reinforcement-learning-platform-for-artificial-collective-intelligence-1712.00600</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/magent-a-many-agent-reinforcement-learning-platform-for-artificial-collective-intelligence-1712.00600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/magent-a-many-agent-reinforcement-learning-platform-for-artificial-collective-intelligence-1712.00600"/></url>
<url><loc>https://scifaro.com/en/abs/pfax-predictable-feature-analysis-to-perform-control-1712.00634</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pfax-predictable-feature-analysis-to-perform-control-1712.00634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pfax-predictable-feature-analysis-to-perform-control-1712.00634"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-adversarial-dictionaries-for-multi-class-audio-classification-1712.00640</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-adversarial-dictionaries-for-multi-class-audio-classification-1712.00640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-adversarial-dictionaries-for-multi-class-audio-classification-1712.00640"/></url>
<url><loc>https://scifaro.com/en/abs/representation-and-reinforcement-learning-for-personalized-glycemic-control-in-septic-patients-1712.00654</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-and-reinforcement-learning-for-personalized-glycemic-control-in-septic-patients-1712.00654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-and-reinforcement-learning-for-personalized-glycemic-control-in-septic-patients-1712.00654"/></url>
<url><loc>https://scifaro.com/en/abs/an-asymptotically-optimal-algorithm-for-communicating-multiplayer-multi-armed-bandit-problems-1712.00656</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-asymptotically-optimal-algorithm-for-communicating-multiplayer-multi-armed-bandit-problems-1712.00656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-asymptotically-optimal-algorithm-for-communicating-multiplayer-multi-armed-bandit-problems-1712.00656"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-neural-networks-via-random-self-ensemble-1712.00673</loc><lastmod>2018-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-neural-networks-via-random-self-ensemble-1712.00673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-neural-networks-via-random-self-ensemble-1712.00673"/></url>
<url><loc>https://scifaro.com/en/abs/improving-network-robustness-against-adversarial-attacks-with-compact-convolution-1712.00699</loc><lastmod>2018-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-network-robustness-against-adversarial-attacks-with-compact-convolution-1712.00699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-network-robustness-against-adversarial-attacks-with-compact-convolution-1712.00699"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-learns-one-hidden-layer-cnn-don-t-be-afraid-of-spurious-local-minima-1712.00779</loc><lastmod>2018-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-learns-one-hidden-layer-cnn-don-t-be-afraid-of-spurious-local-minima-1712.00779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-learns-one-hidden-layer-cnn-don-t-be-afraid-of-spurious-local-minima-1712.00779"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-train-neighborhood-preserving-embedding-1712.00828</loc><lastmod>2018-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-train-neighborhood-preserving-embedding-1712.00828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-train-neighborhood-preserving-embedding-1712.00828"/></url>
<url><loc>https://scifaro.com/en/abs/learning-independent-causal-mechanisms-1712.00961</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-independent-causal-mechanisms-1712.00961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-independent-causal-mechanisms-1712.00961"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-quantization-for-deep-neural-network-1712.01048</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-quantization-for-deep-neural-network-1712.01048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-quantization-for-deep-neural-network-1712.01048"/></url>
<url><loc>https://scifaro.com/en/abs/structured-deep-neural-network-pruning-via-matrix-pivoting-1712.01084</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-deep-neural-network-pruning-via-matrix-pivoting-1712.01084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-deep-neural-network-pruning-via-matrix-pivoting-1712.01084"/></url>
<url><loc>https://scifaro.com/en/abs/transferring-autonomous-driving-knowledge-on-simulated-and-real-intersections-1712.01106</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferring-autonomous-driving-knowledge-on-simulated-and-real-intersections-1712.01106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferring-autonomous-driving-knowledge-on-simulated-and-real-intersections-1712.01106"/></url>
<url><loc>https://scifaro.com/en/abs/episodic-memory-for-continual-model-learning-1712.01169</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/episodic-memory-for-continual-model-learning-1712.01169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/episodic-memory-for-continual-model-learning-1712.01169"/></url>
<url><loc>https://scifaro.com/en/abs/a-dual-framework-for-low-rank-tensor-completion-1712.01193</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dual-framework-for-low-rank-tensor-completion-1712.01193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dual-framework-for-low-rank-tensor-completion-1712.01193"/></url>
<url><loc>https://scifaro.com/en/abs/thoops-a-multi-aspect-analytical-framework-spatio-temporal-basketball-data-1712.01199</loc><lastmod>2018-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thoops-a-multi-aspect-analytical-framework-spatio-temporal-basketball-data-1712.01199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thoops-a-multi-aspect-analytical-framework-spatio-temporal-basketball-data-1712.01199"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-stable-instances-of-euclidean-k-means-1712.01241</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-stable-instances-of-euclidean-k-means-1712.01241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-stable-instances-of-euclidean-k-means-1712.01241"/></url>
<url><loc>https://scifaro.com/en/abs/an-equivalence-of-fully-connected-layer-and-convolutional-layer-1712.01252</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-equivalence-of-fully-connected-layer-and-convolutional-layer-1712.01252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-equivalence-of-fully-connected-layer-and-convolutional-layer-1712.01252"/></url>
<url><loc>https://scifaro.com/en/abs/development-of-statewide-aadt-estimation-model-from-short-term-counts-a-comparative-study-for-south-carolina-1712.01257</loc><lastmod>2017-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/development-of-statewide-aadt-estimation-model-from-short-term-counts-a-comparative-study-for-south-carolina-1712.01257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/development-of-statewide-aadt-estimation-model-from-short-term-counts-a-comparative-study-for-south-carolina-1712.01257"/></url>
<url><loc>https://scifaro.com/en/abs/compatibility-family-learning-for-item-recommendation-and-generation-1712.01262</loc><lastmod>2017-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compatibility-family-learning-for-item-recommendation-and-generation-1712.01262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compatibility-family-learning-for-item-recommendation-and-generation-1712.01262"/></url>
<url><loc>https://scifaro.com/en/abs/layer-wise-learning-of-stochastic-neural-networks-with-information-bottleneck-1712.01272</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layer-wise-learning-of-stochastic-neural-networks-with-information-bottleneck-1712.01272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layer-wise-learning-of-stochastic-neural-networks-with-information-bottleneck-1712.01272"/></url>
<url><loc>https://scifaro.com/en/abs/a-deeper-look-at-experience-replay-1712.01275</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deeper-look-at-experience-replay-1712.01275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deeper-look-at-experience-replay-1712.01275"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-fuse-music-genres-with-generative-adversarial-dual-learning-1712.01456</loc><lastmod>2020-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-fuse-music-genres-with-generative-adversarial-dual-learning-1712.01456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-fuse-music-genres-with-generative-adversarial-dual-learning-1712.01456"/></url>
<url><loc>https://scifaro.com/en/abs/deep-linear-neural-networks-with-arbitrary-loss-all-local-minima-are-global-1712.01473</loc><lastmod>2018-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-linear-neural-networks-with-arbitrary-loss-all-local-minima-are-global-1712.01473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-linear-neural-networks-with-arbitrary-loss-all-local-minima-are-global-1712.01473"/></url>
<url><loc>https://scifaro.com/en/abs/learning-pain-from-action-unit-combinations-a-weakly-supervised-approach-via-multiple-instance-learning-1712.01496</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-pain-from-action-unit-combinations-a-weakly-supervised-approach-via-multiple-instance-learning-1712.01496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-pain-from-action-unit-combinations-a-weakly-supervised-approach-via-multiple-instance-learning-1712.01496"/></url>
<url><loc>https://scifaro.com/en/abs/sum-of-previous-inpatient-serum-creatinine-measurements-predicts-acute-kidney-injury-in-rehospitalized-patients-1712.01880</loc><lastmod>2017-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sum-of-previous-inpatient-serum-creatinine-measurements-predicts-acute-kidney-injury-in-rehospitalized-patients-1712.01880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sum-of-previous-inpatient-serum-creatinine-measurements-predicts-acute-kidney-injury-in-rehospitalized-patients-1712.01880"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-gated-linear-networks-1712.01897</loc><lastmod>2017-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-gated-linear-networks-1712.01897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-gated-linear-networks-1712.01897"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-learn-a-model-checker-1712.01935</loc><lastmod>2017-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-learn-a-model-checker-1712.01935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-learn-a-model-checker-1712.01935"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-and-feature-selection-for-large-dimensional-data-1712.01975</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-and-feature-selection-for-large-dimensional-data-1712.01975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-and-feature-selection-for-large-dimensional-data-1712.01975"/></url>
<url><loc>https://scifaro.com/en/abs/adabatch-adaptive-batch-sizes-for-training-deep-neural-networks-1712.02029</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adabatch-adaptive-batch-sizes-for-training-deep-neural-networks-1712.02029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adabatch-adaptive-batch-sizes-for-training-deep-neural-networks-1712.02029"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-policy-gradients-via-alpha-divergence-dropout-inference-1712.02037</loc><lastmod>2017-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-policy-gradients-via-alpha-divergence-dropout-inference-1712.02037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-policy-gradients-via-alpha-divergence-dropout-inference-1712.02037"/></url>
<url><loc>https://scifaro.com/en/abs/learning-general-latent-variable-graphical-models-with-predictive-belief-propagation-1712.02046</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-general-latent-variable-graphical-models-with-predictive-belief-propagation-1712.02046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-general-latent-variable-graphical-models-with-predictive-belief-propagation-1712.02046"/></url>
<url><loc>https://scifaro.com/en/abs/cnn-training-with-graph-based-sample-preselection-application-to-handwritten-character-recognition-1712.02122</loc><lastmod>2018-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cnn-training-with-graph-based-sample-preselection-application-to-handwritten-character-recognition-1712.02122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cnn-training-with-graph-based-sample-preselection-application-to-handwritten-character-recognition-1712.02122"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-based-categorization-of-classifier-transfer-learning-1712.02159</loc><lastmod>2017-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-based-categorization-of-classifier-transfer-learning-1712.02159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-based-categorization-of-classifier-transfer-learning-1712.02159"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-natural-gradient-as-variational-inference-1712.02390</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-natural-gradient-as-variational-inference-1712.02390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-natural-gradient-as-variational-inference-1712.02390"/></url>
<url><loc>https://scifaro.com/en/abs/high-performance-ultra-low-precision-convolutions-on-mobile-devices-1712.02427</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-performance-ultra-low-precision-convolutions-on-mobile-devices-1712.02427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-performance-ultra-low-precision-convolutions-on-mobile-devices-1712.02427"/></url>
<url><loc>https://scifaro.com/en/abs/hyperpower-power-and-memory-constrained-hyper-parameter-optimization-for-neural-networks-1712.02446</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperpower-power-and-memory-constrained-hyper-parameter-optimization-for-neural-networks-1712.02446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperpower-power-and-memory-constrained-hyper-parameter-optimization-for-neural-networks-1712.02446"/></url>
<url><loc>https://scifaro.com/en/abs/deep-primal-dual-reinforcement-learning-accelerating-actor-critic-using-bellman-duality-1712.02467</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-primal-dual-reinforcement-learning-accelerating-actor-critic-using-bellman-duality-1712.02467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-primal-dual-reinforcement-learning-accelerating-actor-critic-using-bellman-duality-1712.02467"/></url>
<url><loc>https://scifaro.com/en/abs/cnns-are-globally-optimal-given-multi-layer-support-1712.02501</loc><lastmod>2017-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cnns-are-globally-optimal-given-multi-layer-support-1712.02501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cnns-are-globally-optimal-given-multi-layer-support-1712.02501"/></url>
<url><loc>https://scifaro.com/en/abs/take-it-in-your-stride-do-we-need-striding-in-cnns-1712.02502</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/take-it-in-your-stride-do-we-need-striding-in-cnns-1712.02502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/take-it-in-your-stride-do-we-need-striding-in-cnns-1712.02502"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-with-ipm-based-gans-an-empirical-study-1712.02505</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-with-ipm-based-gans-an-empirical-study-1712.02505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-with-ipm-based-gans-an-empirical-study-1712.02505"/></url>
<url><loc>https://scifaro.com/en/abs/adacomp-adaptive-residual-gradient-compression-for-data-parallel-distributed-training-1712.02679</loc><lastmod>2017-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adacomp-adaptive-residual-gradient-compression-for-data-parallel-distributed-training-1712.02679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adacomp-adaptive-residual-gradient-compression-for-data-parallel-distributed-training-1712.02679"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-landscape-of-spatial-robustness-1712.02779</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-landscape-of-spatial-robustness-1712.02779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-landscape-of-spatial-robustness-1712.02779"/></url>
<url><loc>https://scifaro.com/en/abs/per-pixel-feedback-for-improving-semantic-segmentation-1712.02861</loc><lastmod>2017-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/per-pixel-feedback-for-improving-semantic-segmentation-1712.02861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/per-pixel-feedback-for-improving-semantic-segmentation-1712.02861"/></url>
<url><loc>https://scifaro.com/en/abs/nonconvex-sparse-spectral-clustering-by-alternating-direction-method-of-multipliers-and-its-convergence-analysis-1712.02979</loc><lastmod>2017-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonconvex-sparse-spectral-clustering-by-alternating-direction-method-of-multipliers-and-its-convergence-analysis-1712.02979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonconvex-sparse-spectral-clustering-by-alternating-direction-method-of-multipliers-and-its-convergence-analysis-1712.02979"/></url>
<url><loc>https://scifaro.com/en/abs/coordinate-descent-with-bandit-sampling-1712.03010</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coordinate-descent-with-bandit-sampling-1712.03010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coordinate-descent-with-bandit-sampling-1712.03010"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-neural-networks-that-learn-to-satisfy-logic-constraints-1712.03049</loc><lastmod>2017-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-neural-networks-that-learn-to-satisfy-logic-constraints-1712.03049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-neural-networks-that-learn-to-satisfy-logic-constraints-1712.03049"/></url>
<url><loc>https://scifaro.com/en/abs/a-class-of-logistic-functions-for-approximating-state-inclusive-koopman-operators-1712.03132</loc><lastmod>2017-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-class-of-logistic-functions-for-approximating-state-inclusive-koopman-operators-1712.03132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-class-of-logistic-functions-for-approximating-state-inclusive-koopman-operators-1712.03132"/></url>
<url><loc>https://scifaro.com/en/abs/neumann-optimizer-a-practical-optimization-algorithm-for-deep-neural-networks-1712.03298</loc><lastmod>2017-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neumann-optimizer-a-practical-optimization-algorithm-for-deep-neural-networks-1712.03298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neumann-optimizer-a-practical-optimization-algorithm-for-deep-neural-networks-1712.03298"/></url>
<url><loc>https://scifaro.com/en/abs/assumed-density-filtering-q-learning-1712.03333</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assumed-density-filtering-q-learning-1712.03333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assumed-density-filtering-q-learning-1712.03333"/></url>
<url><loc>https://scifaro.com/en/abs/peephole-predicting-network-performance-before-training-1712.03351</loc><lastmod>2017-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/peephole-predicting-network-performance-before-training-1712.03351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/peephole-predicting-network-performance-before-training-1712.03351"/></url>
<url><loc>https://scifaro.com/en/abs/cost-sensitive-approach-to-batch-size-adaptation-for-gradient-descent-1712.03428</loc><lastmod>2017-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-sensitive-approach-to-batch-size-adaptation-for-gradient-descent-1712.03428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-sensitive-approach-to-batch-size-adaptation-for-gradient-descent-1712.03428"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-memory-bounded-learning-algorithm-1712.03524</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-memory-bounded-learning-algorithm-1712.03524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-memory-bounded-learning-algorithm-1712.03524"/></url>
<url><loc>https://scifaro.com/en/abs/dgcnn-disordered-graph-convolutional-neural-network-based-on-the-gaussian-mixture-model-1712.03563</loc><lastmod>2017-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dgcnn-disordered-graph-convolutional-neural-network-based-on-the-gaussian-mixture-model-1712.03563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dgcnn-disordered-graph-convolutional-neural-network-based-on-the-gaussian-mixture-model-1712.03563"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-normalization-depth-based-decay-for-deep-learning-1712.03607</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-normalization-depth-based-decay-for-deep-learning-1712.03607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-normalization-depth-based-decay-for-deep-learning-1712.03607"/></url>
<url><loc>https://scifaro.com/en/abs/robust-deep-reinforcement-learning-with-adversarial-attacks-1712.03632</loc><lastmod>2017-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-deep-reinforcement-learning-with-adversarial-attacks-1712.03632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-deep-reinforcement-learning-with-adversarial-attacks-1712.03632"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-zero-shot-learning-via-synthesized-examples-1712.03878</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-zero-shot-learning-via-synthesized-examples-1712.03878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-zero-shot-learning-via-synthesized-examples-1712.03878"/></url>
<url><loc>https://scifaro.com/en/abs/learning-modality-invariant-representations-for-speech-and-images-1712.03897</loc><lastmod>2017-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-modality-invariant-representations-for-speech-and-images-1712.03897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-modality-invariant-representations-for-speech-and-images-1712.03897"/></url>
<url><loc>https://scifaro.com/en/abs/minos-multimodal-indoor-simulator-for-navigation-in-complex-environments-1712.03931</loc><lastmod>2017-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minos-multimodal-indoor-simulator-for-navigation-in-complex-environments-1712.03931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minos-multimodal-indoor-simulator-for-navigation-in-complex-environments-1712.03931"/></url>
<url><loc>https://scifaro.com/en/abs/strassennets-deep-learning-with-a-multiplication-budget-1712.03942</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strassennets-deep-learning-with-a-multiplication-budget-1712.03942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strassennets-deep-learning-with-a-multiplication-budget-1712.03942"/></url>
<url><loc>https://scifaro.com/en/abs/saving-gradient-and-negative-curvature-computations-finding-local-minima-more-efficiently-1712.03950</loc><lastmod>2017-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/saving-gradient-and-negative-curvature-computations-finding-local-minima-more-efficiently-1712.03950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/saving-gradient-and-negative-curvature-computations-finding-local-minima-more-efficiently-1712.03950"/></url>
<url><loc>https://scifaro.com/en/abs/training-ensembles-to-detect-adversarial-examples-1712.04006</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-ensembles-to-detect-adversarial-examples-1712.04006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-ensembles-to-detect-adversarial-examples-1712.04006"/></url>
<url><loc>https://scifaro.com/en/abs/cavs-a-vertex-centric-programming-interface-for-dynamic-neural-networks-1712.04048</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cavs-a-vertex-centric-programming-interface-for-dynamic-neural-networks-1712.04048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cavs-a-vertex-centric-programming-interface-for-dynamic-neural-networks-1712.04048"/></url>
<url><loc>https://scifaro.com/en/abs/pacgan-the-power-of-two-samples-in-generative-adversarial-networks-1712.04086</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pacgan-the-power-of-two-samples-in-generative-adversarial-networks-1712.04086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pacgan-the-power-of-two-samples-in-generative-adversarial-networks-1712.04086"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-boosted-by-external-knowledge-1712.04101</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-boosted-by-external-knowledge-1712.04101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-boosted-by-external-knowledge-1712.04101"/></url>
<url><loc>https://scifaro.com/en/abs/neural-component-analysis-for-fault-detection-1712.04118</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-component-analysis-for-fault-detection-1712.04118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-component-analysis-for-fault-detection-1712.04118"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-detection-by-consistent-data-selection-method-1712.04129</loc><lastmod>2018-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-detection-by-consistent-data-selection-method-1712.04129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-detection-by-consistent-data-selection-method-1712.04129"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-enhanced-mobile-phone-microscopy-1712.04139</loc><lastmod>2018-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-enhanced-mobile-phone-microscopy-1712.04139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-enhanced-mobile-phone-microscopy-1712.04139"/></url>
<url><loc>https://scifaro.com/en/abs/transportation-analysis-of-denoising-autoencoders-a-novel-method-for-analyzing-deep-neural-networks-1712.04145</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transportation-analysis-of-denoising-autoencoders-a-novel-method-for-analyzing-deep-neural-networks-1712.04145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transportation-analysis-of-denoising-autoencoders-a-novel-method-for-analyzing-deep-neural-networks-1712.04145"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-stability-in-predictive-process-monitoring-1712.04165</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-stability-in-predictive-process-monitoring-1712.04165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-stability-in-predictive-process-monitoring-1712.04165"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-evaluation-of-kernel-pca-approximation-methods-in-classification-tasks-1712.04196</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-evaluation-of-kernel-pca-approximation-methods-in-classification-tasks-1712.04196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-evaluation-of-kernel-pca-approximation-methods-in-classification-tasks-1712.04196"/></url>
<url><loc>https://scifaro.com/en/abs/deep-echo-state-network-deepesn-a-brief-survey-1712.04323</loc><lastmod>2020-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-echo-state-network-deepesn-a-brief-survey-1712.04323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-echo-state-network-deepesn-a-brief-survey-1712.04323"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-limit-exact-and-tractable-analysis-of-online-learning-algorithms-with-applications-to-regularized-regression-and-pca-1712.04332</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-limit-exact-and-tractable-analysis-of-online-learning-algorithms-with-applications-to-regularized-regression-and-pca-1712.04332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-limit-exact-and-tractable-analysis-of-online-learning-algorithms-with-applications-to-regularized-regression-and-pca-1712.04332"/></url>
<url><loc>https://scifaro.com/en/abs/a-streaming-algorithm-for-graph-clustering-1712.04337</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-streaming-algorithm-for-graph-clustering-1712.04337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-streaming-algorithm-for-graph-clustering-1712.04337"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-yelp-star-reviews-based-on-network-structure-with-deep-learning-1712.04350</loc><lastmod>2017-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-yelp-star-reviews-based-on-network-structure-with-deep-learning-1712.04350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-yelp-star-reviews-based-on-network-structure-with-deep-learning-1712.04350"/></url>
<url><loc>https://scifaro.com/en/abs/cusboost-cluster-based-under-sampling-with-boosting-for-imbalanced-classification-1712.04356</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cusboost-cluster-based-under-sampling-with-boosting-for-imbalanced-classification-1712.04356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cusboost-cluster-based-under-sampling-with-boosting-for-imbalanced-classification-1712.04356"/></url>
<url><loc>https://scifaro.com/en/abs/integrated-model-batch-and-domain-parallelism-in-training-neural-networks-1712.04432</loc><lastmod>2018-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrated-model-batch-and-domain-parallelism-in-training-neural-networks-1712.04432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrated-model-batch-and-domain-parallelism-in-training-neural-networks-1712.04432"/></url>
<url><loc>https://scifaro.com/en/abs/practical-bayesian-optimization-in-the-presence-of-outliers-1712.04567</loc><lastmod>2017-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-bayesian-optimization-in-the-presence-of-outliers-1712.04567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-bayesian-optimization-in-the-presence-of-outliers-1712.04567"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-noisy-singly-labeled-data-1712.04577</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-noisy-singly-labeled-data-1712.04577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-noisy-singly-labeled-data-1712.04577"/></url>
<url><loc>https://scifaro.com/en/abs/over-the-air-deep-learning-based-radio-signal-classification-1712.04578</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/over-the-air-deep-learning-based-radio-signal-classification-1712.04578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/over-the-air-deep-learning-based-radio-signal-classification-1712.04578"/></url>
<url><loc>https://scifaro.com/en/abs/potential-function-proofs-for-first-order-methods-1712.04581</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/potential-function-proofs-for-first-order-methods-1712.04581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/potential-function-proofs-for-first-order-methods-1712.04581"/></url>
<url><loc>https://scifaro.com/en/abs/multi-focus-attention-network-for-efficient-deep-reinforcement-learning-1712.04603</loc><lastmod>2017-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-focus-attention-network-for-efficient-deep-reinforcement-learning-1712.04603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-focus-attention-network-for-efficient-deep-reinforcement-learning-1712.04603"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-low-rank-bandits-1712.04644</loc><lastmod>2017-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-low-rank-bandits-1712.04644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-low-rank-bandits-1712.04644"/></url>
<url><loc>https://scifaro.com/en/abs/mathematics-of-deep-learning-1712.04741</loc><lastmod>2017-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mathematics-of-deep-learning-1712.04741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mathematics-of-deep-learning-1712.04741"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-convergence-of-testing-error-for-stochastic-gradient-methods-1712.04755</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-convergence-of-testing-error-for-stochastic-gradient-methods-1712.04755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-convergence-of-testing-error-for-stochastic-gradient-methods-1712.04755"/></url>
<url><loc>https://scifaro.com/en/abs/fft-based-deep-learning-deployment-in-embedded-systems-1712.04910</loc><lastmod>2017-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fft-based-deep-learning-deployment-in-embedded-systems-1712.04910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fft-based-deep-learning-deployment-in-embedded-systems-1712.04910"/></url>
<url><loc>https://scifaro.com/en/abs/learning-compact-recurrent-neural-networks-with-block-term-tensor-decomposition-1712.05134</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-compact-recurrent-neural-networks-with-block-term-tensor-decomposition-1712.05134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-compact-recurrent-neural-networks-with-block-term-tensor-decomposition-1712.05134"/></url>
<url><loc>https://scifaro.com/en/abs/rate-of-change-analysis-for-interestingness-measures-1712.05193</loc><lastmod>2017-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rate-of-change-analysis-for-interestingness-measures-1712.05193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rate-of-change-analysis-for-interestingness-measures-1712.05193"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-temporal-wind-field-prediction-by-artificial-neural-networks-1712.05293</loc><lastmod>2017-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-temporal-wind-field-prediction-by-artificial-neural-networks-1712.05293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-temporal-wind-field-prediction-by-artificial-neural-networks-1712.05293"/></url>
<url><loc>https://scifaro.com/en/abs/dancin-seq2seq-fooling-text-classifiers-with-adversarial-text-example-generation-1712.05419</loc><lastmod>2017-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dancin-seq2seq-fooling-text-classifiers-with-adversarial-text-example-generation-1712.05419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dancin-seq2seq-fooling-text-classifiers-with-adversarial-text-example-generation-1712.05419"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-neural-networks-1712.05440</loc><lastmod>2017-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-neural-networks-1712.05440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-neural-networks-1712.05440"/></url>
<url><loc>https://scifaro.com/en/abs/graph-sparse-logistic-regression-1712.05510</loc><lastmod>2017-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-sparse-logistic-regression-1712.05510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-sparse-logistic-regression-1712.05510"/></url>
<url><loc>https://scifaro.com/en/abs/the-exploding-gradient-problem-demystified-definition-prevalence-impact-origin-tradeoffs-and-solutions-1712.05577</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-exploding-gradient-problem-demystified-definition-prevalence-impact-origin-tradeoffs-and-solutions-1712.05577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-exploding-gradient-problem-demystified-definition-prevalence-impact-origin-tradeoffs-and-solutions-1712.05577"/></url>
<url><loc>https://scifaro.com/en/abs/pre-training-attention-mechanisms-1712.05652</loc><lastmod>2017-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pre-training-attention-mechanisms-1712.05652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pre-training-attention-mechanisms-1712.05652"/></url>
<url><loc>https://scifaro.com/en/abs/lightweight-neural-networks-1712.05695</loc><lastmod>2017-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lightweight-neural-networks-1712.05695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lightweight-neural-networks-1712.05695"/></url>
<url><loc>https://scifaro.com/en/abs/quantization-and-training-of-neural-networks-for-efficient-integer-arithmetic-only-inference-1712.05877</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantization-and-training-of-neural-networks-for-efficient-integer-arithmetic-only-inference-1712.05877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantization-and-training-of-neural-networks-for-efficient-integer-arithmetic-only-inference-1712.05877"/></url>
<url><loc>https://scifaro.com/en/abs/on-reproduction-of-on-the-regularization-of-wasserstein-gans-1712.05882</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-reproduction-of-on-the-regularization-of-wasserstein-gans-1712.05882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-reproduction-of-on-the-regularization-of-wasserstein-gans-1712.05882"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-asymmetric-nonlinear-weight-update-effects-in-hardware-neural-network-based-on-analog-resistive-synapse-1712.05895</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-asymmetric-nonlinear-weight-update-effects-in-hardware-neural-network-based-on-analog-resistive-synapse-1712.05895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-asymmetric-nonlinear-weight-update-effects-in-hardware-neural-network-based-on-analog-resistive-synapse-1712.05895"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-music-highlight-extraction-using-convolutional-recurrent-attention-networks-1712.05901</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-music-highlight-extraction-using-convolutional-recurrent-attention-networks-1712.05901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-music-highlight-extraction-using-convolutional-recurrent-attention-networks-1712.05901"/></url>
<url><loc>https://scifaro.com/en/abs/nsml-a-machine-learning-platform-that-enables-you-to-focus-on-your-models-1712.05902</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nsml-a-machine-learning-platform-that-enables-you-to-focus-on-your-models-1712.05902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nsml-a-machine-learning-platform-that-enables-you-to-focus-on-your-models-1712.05902"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-framework-for-resource-allocation-assisted-by-cloud-computing-1712.05929</loc><lastmod>2017-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-framework-for-resource-allocation-assisted-by-cloud-computing-1712.05929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-framework-for-resource-allocation-assisted-by-cloud-computing-1712.05929"/></url>
<url><loc>https://scifaro.com/en/abs/stackinsights-cognitive-learning-for-hybrid-cloud-readiness-1712.06015</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stackinsights-cognitive-learning-for-hybrid-cloud-readiness-1712.06015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stackinsights-cognitive-learning-for-hybrid-cloud-readiness-1712.06015"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-distributionally-robust-optimization-and-variation-regularization-1712.06050</loc><lastmod>2020-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-distributionally-robust-optimization-and-variation-regularization-1712.06050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-distributionally-robust-optimization-and-variation-regularization-1712.06050"/></url>
<url><loc>https://scifaro.com/en/abs/integral-equations-and-machine-learning-1712.06115</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integral-equations-and-machine-learning-1712.06115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integral-equations-and-machine-learning-1712.06115"/></url>
<url><loc>https://scifaro.com/en/abs/generating-and-designing-dna-with-deep-generative-models-1712.06148</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-and-designing-dna-with-deep-generative-models-1712.06148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-and-designing-dna-with-deep-generative-models-1712.06148"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-as-0-1-mixed-integer-linear-programs-a-feasibility-study-1712.06174</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-as-0-1-mixed-integer-linear-programs-a-feasibility-study-1712.06174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-as-0-1-mixed-integer-linear-programs-a-feasibility-study-1712.06174"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-multi-view-clustering-1712.06246</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-multi-view-clustering-1712.06246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-multi-view-clustering-1712.06246"/></url>
<url><loc>https://scifaro.com/en/abs/squeezed-convolutional-variational-autoencoder-for-unsupervised-anomaly-detection-in-edge-device-industrial-internet-of-things-1712.06343</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/squeezed-convolutional-variational-autoencoder-for-unsupervised-anomaly-detection-in-edge-device-industrial-internet-of-things-1712.06343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/squeezed-convolutional-variational-autoencoder-for-unsupervised-anomaly-detection-in-edge-device-industrial-internet-of-things-1712.06343"/></url>
<url><loc>https://scifaro.com/en/abs/a-shapelet-transform-for-multivariate-time-series-classification-1712.06428</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-shapelet-transform-for-multivariate-time-series-classification-1712.06428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-shapelet-transform-for-multivariate-time-series-classification-1712.06428"/></url>
<url><loc>https://scifaro.com/en/abs/size-independent-sample-complexity-of-neural-networks-1712.06541</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/size-independent-sample-complexity-of-neural-networks-1712.06541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/size-independent-sample-complexity-of-neural-networks-1712.06541"/></url>
<url><loc>https://scifaro.com/en/abs/the-power-of-interpolation-understanding-the-effectiveness-of-sgd-in-modern-over-parametrized-learning-1712.06559</loc><lastmod>2018-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-power-of-interpolation-understanding-the-effectiveness-of-sgd-in-modern-over-parametrized-learning-1712.06559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-power-of-interpolation-understanding-the-effectiveness-of-sgd-in-modern-over-parametrized-learning-1712.06559"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-complexity-of-forward-and-backward-propagation-1712.06577</loc><lastmod>2017-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-complexity-of-forward-and-backward-propagation-1712.06577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-complexity-of-forward-and-backward-propagation-1712.06577"/></url>
<url><loc>https://scifaro.com/en/abs/when-not-to-classify-anomaly-detection-of-attacks-ada-on-dnn-classifiers-at-test-time-1712.06646</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-not-to-classify-anomaly-detection-of-attacks-ada-on-dnn-classifiers-at-test-time-1712.06646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-not-to-classify-anomaly-detection-of-attacks-ada-on-dnn-classifiers-at-test-time-1712.06646"/></url>
<url><loc>https://scifaro.com/en/abs/meboost-mixing-estimators-with-boosting-for-imbalanced-data-classification-1712.06658</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meboost-mixing-estimators-with-boosting-for-imbalanced-data-classification-1712.06658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meboost-mixing-estimators-with-boosting-for-imbalanced-data-classification-1712.06658"/></url>
<url><loc>https://scifaro.com/en/abs/safe-policy-improvement-with-baseline-bootstrapping-1712.06924</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-policy-improvement-with-baseline-bootstrapping-1712.06924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-policy-improvement-with-baseline-bootstrapping-1712.06924"/></url>
<url><loc>https://scifaro.com/en/abs/bilinear-residual-neural-network-for-the-identification-and-forecasting-of-dynamical-systems-1712.07003</loc><lastmod>2017-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bilinear-residual-neural-network-for-the-identification-and-forecasting-of-dynamical-systems-1712.07003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bilinear-residual-neural-network-for-the-identification-and-forecasting-of-dynamical-systems-1712.07003"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-attacks-and-defenses-for-deep-learning-1712.07107</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-attacks-and-defenses-for-deep-learning-1712.07107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-attacks-and-defenses-for-deep-learning-1712.07107"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-profile-maximum-likelihood-1712.07177</loc><lastmod>2017-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-profile-maximum-likelihood-1712.07177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-profile-maximum-likelihood-1712.07177"/></url>
<url><loc>https://scifaro.com/en/abs/on-wasserstein-reinforcement-learning-and-the-fokker-planck-equation-1712.07185</loc><lastmod>2017-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-wasserstein-reinforcement-learning-and-the-fokker-planck-equation-1712.07185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-wasserstein-reinforcement-learning-and-the-fokker-planck-equation-1712.07185"/></url>
<url><loc>https://scifaro.com/en/abs/calibrating-noise-to-variance-in-adaptive-data-analysis-1712.07196</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrating-noise-to-variance-in-adaptive-data-analysis-1712.07196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrating-noise-to-variance-in-adaptive-data-analysis-1712.07196"/></url>
<url><loc>https://scifaro.com/en/abs/discovery-of-shifting-patterns-in-sequence-classification-1712.07203</loc><lastmod>2017-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovery-of-shifting-patterns-in-sequence-classification-1712.07203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovery-of-shifting-patterns-in-sequence-classification-1712.07203"/></url>
<url><loc>https://scifaro.com/en/abs/linear-time-clustering-for-high-dimensional-mixtures-of-gaussian-clouds-1712.07242</loc><lastmod>2018-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-time-clustering-for-high-dimensional-mixtures-of-gaussian-clouds-1712.07242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-time-clustering-for-high-dimensional-mixtures-of-gaussian-clouds-1712.07242"/></url>
<url><loc>https://scifaro.com/en/abs/block-diagonal-hessian-free-optimization-for-training-neural-networks-1712.07296</loc><lastmod>2017-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-diagonal-hessian-free-optimization-for-training-neural-networks-1712.07296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-diagonal-hessian-free-optimization-for-training-neural-networks-1712.07296"/></url>
<url><loc>https://scifaro.com/en/abs/finding-competitive-network-architectures-within-a-day-using-uct-1712.07420</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-competitive-network-architectures-within-a-day-using-uct-1712.07420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-competitive-network-architectures-within-a-day-using-uct-1712.07420"/></url>
<url><loc>https://scifaro.com/en/abs/in-silico-generation-of-novel-drug-like-chemical-matter-using-the-lstm-neural-network-1712.07449</loc><lastmod>2018-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-silico-generation-of-novel-drug-like-chemical-matter-using-the-lstm-neural-network-1712.07449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-silico-generation-of-novel-drug-like-chemical-matter-using-the-lstm-neural-network-1712.07449"/></url>
<url><loc>https://scifaro.com/en/abs/use-of-deep-learning-in-modern-recommendation-system-a-summary-of-recent-works-1712.07525</loc><lastmod>2017-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/use-of-deep-learning-in-modern-recommendation-system-a-summary-of-recent-works-1712.07525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/use-of-deep-learning-in-modern-recommendation-system-a-summary-of-recent-works-1712.07525"/></url>
<url><loc>https://scifaro.com/en/abs/improving-generalization-performance-by-switching-from-adam-to-sgd-1712.07628</loc><lastmod>2017-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-generalization-performance-by-switching-from-adam-to-sgd-1712.07628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-generalization-performance-by-switching-from-adam-to-sgd-1712.07628"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-with-lung-segmentation-and-bone-shadow-exclusion-techniques-for-chest-x-ray-analysis-of-lung-cancer-1712.07632</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-with-lung-segmentation-and-bone-shadow-exclusion-techniques-for-chest-x-ray-analysis-of-lung-cancer-1712.07632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-with-lung-segmentation-and-bone-shadow-exclusion-techniques-for-chest-x-ray-analysis-of-lung-cancer-1712.07632"/></url>
<url><loc>https://scifaro.com/en/abs/deep-unsupervised-clustering-using-mixture-of-autoencoders-1712.07788</loc><lastmod>2017-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-unsupervised-clustering-using-mixture-of-autoencoders-1712.07788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-unsupervised-clustering-using-mixture-of-autoencoders-1712.07788"/></url>
<url><loc>https://scifaro.com/en/abs/dropmax-adaptive-variational-softmax-1712.07834</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropmax-adaptive-variational-softmax-1712.07834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropmax-adaptive-variational-softmax-1712.07834"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-success-of-unsupervised-image-to-image-translation-1712.07886</loc><lastmod>2018-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-success-of-unsupervised-image-to-image-translation-1712.07886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-success-of-unsupervised-image-to-image-translation-1712.07886"/></url>
<url><loc>https://scifaro.com/en/abs/multiview-deep-learning-for-predicting-twitter-users-location-1712.08091</loc><lastmod>2017-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiview-deep-learning-for-predicting-twitter-users-location-1712.08091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiview-deep-learning-for-predicting-twitter-users-location-1712.08091"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-interpretable-classifier-for-diabetic-retinopathy-disease-grading-1712.08107</loc><lastmod>2019-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-interpretable-classifier-for-diabetic-retinopathy-disease-grading-1712.08107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-interpretable-classifier-for-diabetic-retinopathy-disease-grading-1712.08107"/></url>
<url><loc>https://scifaro.com/en/abs/combining-static-and-dynamic-features-for-multivariate-sequence-classification-1712.08160</loc><lastmod>2017-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-static-and-dynamic-features-for-multivariate-sequence-classification-1712.08160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-static-and-dynamic-features-for-multivariate-sequence-classification-1712.08160"/></url>
<url><loc>https://scifaro.com/en/abs/reachable-set-computation-and-safety-verification-for-neural-networks-with-relu-activations-1712.08163</loc><lastmod>2017-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reachable-set-computation-and-safety-verification-for-neural-networks-with-relu-activations-1712.08163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reachable-set-computation-and-safety-verification-for-neural-networks-with-relu-activations-1712.08163"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-of-time-series-and-its-application-to-the-travel-demand-1712.08164</loc><lastmod>2017-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-of-time-series-and-its-application-to-the-travel-demand-1712.08164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-of-time-series-and-its-application-to-the-travel-demand-1712.08164"/></url>
<url><loc>https://scifaro.com/en/abs/interventions-over-predictions-reframing-the-ethical-debate-for-actuarial-risk-assessment-1712.08238</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interventions-over-predictions-reframing-the-ethical-debate-for-actuarial-risk-assessment-1712.08238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interventions-over-predictions-reframing-the-ethical-debate-for-actuarial-risk-assessment-1712.08238"/></url>
<url><loc>https://scifaro.com/en/abs/reabsnet-detecting-and-revising-adversarial-examples-1712.08250</loc><lastmod>2017-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reabsnet-detecting-and-revising-adversarial-examples-1712.08250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reabsnet-detecting-and-revising-adversarial-examples-1712.08250"/></url>
<url><loc>https://scifaro.com/en/abs/linear-centralization-classifier-1712.08259</loc><lastmod>2017-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-centralization-classifier-1712.08259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-centralization-classifier-1712.08259"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-transferring-ids-representation-in-e-commerce-1712.08289</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-transferring-ids-representation-in-e-commerce-1712.08289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-transferring-ids-representation-in-e-commerce-1712.08289"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-decoupled-neural-interfaces-with-synthetic-gradients-1712.08314</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-decoupled-neural-interfaces-with-synthetic-gradients-1712.08314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-decoupled-neural-interfaces-with-synthetic-gradients-1712.08314"/></url>
<url><loc>https://scifaro.com/en/abs/diversifying-support-vector-machines-for-boosting-using-kernel-perturbation-applications-to-class-imbalance-and-small-disjuncts-1712.08493</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversifying-support-vector-machines-for-boosting-using-kernel-perturbation-applications-to-class-imbalance-and-small-disjuncts-1712.08493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversifying-support-vector-machines-for-boosting-using-kernel-perturbation-applications-to-class-imbalance-and-small-disjuncts-1712.08493"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-kernel-for-classification-and-regression-1712.08597</loc><lastmod>2017-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-kernel-for-classification-and-regression-1712.08597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-kernel-for-classification-and-regression-1712.08597"/></url>
<url><loc>https://scifaro.com/en/abs/least-squares-temporal-difference-learning-for-the-linear-quadratic-regulator-1712.08642</loc><lastmod>2017-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/least-squares-temporal-difference-learning-for-the-linear-quadratic-regulator-1712.08642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/least-squares-temporal-difference-learning-for-the-linear-quadratic-regulator-1712.08642"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-feature-ranking-for-deep-learning-models-1712.08645</loc><lastmod>2018-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-feature-ranking-for-deep-learning-models-1712.08645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-feature-ranking-for-deep-learning-models-1712.08645"/></url>
<url><loc>https://scifaro.com/en/abs/a-short-variational-proof-of-equivalence-between-policy-gradients-and-soft-q-learning-1712.08650</loc><lastmod>2017-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-short-variational-proof-of-equivalence-between-policy-gradients-and-soft-q-learning-1712.08650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-short-variational-proof-of-equivalence-between-policy-gradients-and-soft-q-learning-1712.08650"/></url>
<url><loc>https://scifaro.com/en/abs/online-forecasting-matrix-factorization-1712.08734</loc><lastmod>2017-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-forecasting-matrix-factorization-1712.08734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-forecasting-matrix-factorization-1712.08734"/></url>
<url><loc>https://scifaro.com/en/abs/an-approximate-bayesian-long-short-term-memory-algorithm-for-outlier-detection-1712.08773</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-approximate-bayesian-long-short-term-memory-algorithm-for-outlier-detection-1712.08773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-approximate-bayesian-long-short-term-memory-algorithm-for-outlier-detection-1712.08773"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-regression-via-pairwise-similarity-regularization-1712.08855</loc><lastmod>2017-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-regression-via-pairwise-similarity-regularization-1712.08855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-regression-via-pairwise-similarity-regularization-1712.08855"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-multitask-learning-for-traffic-flow-forecasting-1712.08862</loc><lastmod>2017-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-multitask-learning-for-traffic-flow-forecasting-1712.08862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-multitask-learning-for-traffic-flow-forecasting-1712.08862"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-data-normalization-based-on-eigenvalues-for-artificial-neural-network-classification-1712.08885</loc><lastmod>2017-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-data-normalization-based-on-eigenvalues-for-artificial-neural-network-classification-1712.08885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-data-normalization-based-on-eigenvalues-for-artificial-neural-network-classification-1712.08885"/></url>
<url><loc>https://scifaro.com/en/abs/spurious-local-minima-are-common-in-two-layer-relu-neural-networks-1712.08968</loc><lastmod>2018-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spurious-local-minima-are-common-in-two-layer-relu-neural-networks-1712.08968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spurious-local-minima-are-common-in-two-layer-relu-neural-networks-1712.08968"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-run-with-actor-critic-ensemble-1712.08987</loc><lastmod>2017-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-run-with-actor-critic-ensemble-1712.08987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-run-with-actor-critic-ensemble-1712.08987"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-regression-with-sparse-metric-learning-1712.09001</loc><lastmod>2017-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-regression-with-sparse-metric-learning-1712.09001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-regression-with-sparse-metric-learning-1712.09001"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-algorithms-for-t-distributed-stochastic-neighborhood-embedding-1712.09005</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-algorithms-for-t-distributed-stochastic-neighborhood-embedding-1712.09005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-algorithms-for-t-distributed-stochastic-neighborhood-embedding-1712.09005"/></url>
<url><loc>https://scifaro.com/en/abs/neural-collaborative-autoencoder-1712.09043</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-collaborative-autoencoder-1712.09043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-collaborative-autoencoder-1712.09043"/></url>
<url><loc>https://scifaro.com/en/abs/strongly-hierarchical-factorization-machines-and-anova-kernel-regression-1712.09133</loc><lastmod>2018-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strongly-hierarchical-factorization-machines-and-anova-kernel-regression-1712.09133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strongly-hierarchical-factorization-machines-and-anova-kernel-regression-1712.09133"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-regularization-in-over-parameterized-matrix-sensing-and-neural-networks-with-quadratic-activations-1712.09203</loc><lastmod>2019-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-regularization-in-over-parameterized-matrix-sensing-and-neural-networks-with-quadratic-activations-1712.09203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-regularization-in-over-parameterized-matrix-sensing-and-neural-networks-with-quadratic-activations-1712.09203"/></url>
<url><loc>https://scifaro.com/en/abs/building-robust-deep-neural-networks-for-road-sign-detection-1712.09327</loc><lastmod>2017-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-robust-deep-neural-networks-for-road-sign-detection-1712.09327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-robust-deep-neural-networks-for-road-sign-detection-1712.09327"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-space-of-black-box-attacks-on-deep-neural-networks-1712.09491</loc><lastmod>2017-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-space-of-black-box-attacks-on-deep-neural-networks-1712.09491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-space-of-black-box-attacks-on-deep-neural-networks-1712.09491"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-regression-networks-with-various-low-rank-tensor-approximations-1712.09520</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-regression-networks-with-various-low-rank-tensor-approximations-1712.09520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-regression-networks-with-various-low-rank-tensor-approximations-1712.09520"/></url>
<url><loc>https://scifaro.com/en/abs/co-morbidity-exploration-on-wearables-activity-data-using-unsupervised-pre-training-and-multi-task-learning-1712.09527</loc><lastmod>2017-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-morbidity-exploration-on-wearables-activity-data-using-unsupervised-pre-training-and-multi-task-learning-1712.09527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-morbidity-exploration-on-wearables-activity-data-using-unsupervised-pre-training-and-multi-task-learning-1712.09527"/></url>
<url><loc>https://scifaro.com/en/abs/on-convergence-of-some-gradient-based-temporal-differences-algorithms-for-off-policy-learning-1712.09652</loc><lastmod>2018-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-convergence-of-some-gradient-based-temporal-differences-algorithms-for-off-policy-learning-1712.09652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-convergence-of-some-gradient-based-temporal-differences-algorithms-for-off-policy-learning-1712.09652"/></url>
<url><loc>https://scifaro.com/en/abs/pixelsnail-an-improved-autoregressive-generative-model-1712.09763</loc><lastmod>2017-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pixelsnail-an-improved-autoregressive-generative-model-1712.09763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pixelsnail-an-improved-autoregressive-generative-model-1712.09763"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-matrix-completion-revisited-1712.09765</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-matrix-completion-revisited-1712.09765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-matrix-completion-revisited-1712.09765"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-analysis-of-eegs-using-big-data-and-hybrid-deep-learning-architectures-1712.09771</loc><lastmod>2017-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-analysis-of-eegs-using-big-data-and-hybrid-deep-learning-architectures-1712.09771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-analysis-of-eegs-using-big-data-and-hybrid-deep-learning-architectures-1712.09771"/></url>
<url><loc>https://scifaro.com/en/abs/deep-architectures-for-automated-seizure-detection-in-scalp-eegs-1712.09776</loc><lastmod>2017-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-architectures-for-automated-seizure-detection-in-scalp-eegs-1712.09776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-architectures-for-automated-seizure-detection-in-scalp-eegs-1712.09776"/></url>
<url><loc>https://scifaro.com/en/abs/topic-compositional-neural-language-model-1712.09783</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topic-compositional-neural-language-model-1712.09783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topic-compositional-neural-language-model-1712.09783"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-the-loss-landscape-of-neural-nets-1712.09913</loc><lastmod>2018-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-the-loss-landscape-of-neural-nets-1712.09913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-the-loss-landscape-of-neural-nets-1712.09913"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-adaptation-with-conditionally-shifted-neurons-1712.09926</loc><lastmod>2018-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-adaptation-with-conditionally-shifted-neurons-1712.09926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-adaptation-with-conditionally-shifted-neurons-1712.09926"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-regularization-improves-accuracy-of-discriminative-models-1712.09936</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-regularization-improves-accuracy-of-discriminative-models-1712.09936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-regularization-improves-accuracy-of-discriminative-models-1712.09936"/></url>
<url><loc>https://scifaro.com/en/abs/robust-covariate-shift-prediction-with-general-losses-and-feature-views-1712.10043</loc><lastmod>2018-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-covariate-shift-prediction-with-general-losses-and-feature-views-1712.10043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-covariate-shift-prediction-with-general-losses-and-feature-views-1712.10043"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-robust-bias-aware-prediction-under-covariate-shift-1712.10050</loc><lastmod>2018-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-robust-bias-aware-prediction-under-covariate-shift-1712.10050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-robust-bias-aware-prediction-under-covariate-shift-1712.10050"/></url>
<url><loc>https://scifaro.com/en/abs/objective-evaluation-metrics-for-automatic-classification-of-eeg-events-1712.10107</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/objective-evaluation-metrics-for-automatic-classification-of-eeg-events-1712.10107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/objective-evaluation-metrics-for-automatic-classification-of-eeg-events-1712.10107"/></url>
<url><loc>https://scifaro.com/en/abs/the-multilinear-structure-of-relu-networks-1712.10132</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-multilinear-structure-of-relu-networks-1712.10132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-multilinear-structure-of-relu-networks-1712.10132"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-the-actor-with-dual-critic-1712.10282</loc><lastmod>2018-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-the-actor-with-dual-critic-1712.10282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-the-actor-with-dual-critic-1712.10282"/></url>
<url><loc>https://scifaro.com/en/abs/sbeed-convergent-reinforcement-learning-with-nonlinear-function-approximation-1712.10285</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sbeed-convergent-reinforcement-learning-with-nonlinear-function-approximation-1712.10285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sbeed-convergent-reinforcement-learning-with-nonlinear-function-approximation-1712.10285"/></url>
<url><loc>https://scifaro.com/en/abs/f-divergence-constrained-policy-improvement-1801.00056</loc><lastmod>2018-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/f-divergence-constrained-policy-improvement-1801.00056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/f-divergence-constrained-policy-improvement-1801.00056"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-free-online-learning-via-model-selection-1801.00101</loc><lastmod>2018-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-free-online-learning-via-model-selection-1801.00101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-free-online-learning-via-model-selection-1801.00101"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-margin-bounds-for-convolutional-neural-networks-1801.00171</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-margin-bounds-for-convolutional-neural-networks-1801.00171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-margin-bounds-for-convolutional-neural-networks-1801.00171"/></url>
<url><loc>https://scifaro.com/en/abs/theory-of-deep-learning-iii-explaining-the-non-overfitting-puzzle-1801.00173</loc><lastmod>2018-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-of-deep-learning-iii-explaining-the-non-overfitting-puzzle-1801.00173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-of-deep-learning-iii-explaining-the-non-overfitting-puzzle-1801.00173"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-list-wise-recommendations-1801.00209</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-list-wise-recommendations-1801.00209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-list-wise-recommendations-1801.00209"/></url>
<url><loc>https://scifaro.com/en/abs/using-deep-neural-network-approximate-bayesian-network-1801.00282</loc><lastmod>2018-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-deep-neural-network-approximate-bayesian-network-1801.00282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-deep-neural-network-approximate-bayesian-network-1801.00282"/></url>
<url><loc>https://scifaro.com/en/abs/restricted-boltzmann-machines-for-robust-and-fast-latent-truth-discovery-1801.00283</loc><lastmod>2018-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/restricted-boltzmann-machines-for-robust-and-fast-latent-truth-discovery-1801.00283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/restricted-boltzmann-machines-for-robust-and-fast-latent-truth-discovery-1801.00283"/></url>
<url><loc>https://scifaro.com/en/abs/zoopt-toolbox-for-derivative-free-optimization-1801.00329</loc><lastmod>2022-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zoopt-toolbox-for-derivative-free-optimization-1801.00329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zoopt-toolbox-for-derivative-free-optimization-1801.00329"/></url>
<url><loc>https://scifaro.com/en/abs/error-robust-multi-view-clustering-1801.00384</loc><lastmod>2018-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-robust-multi-view-clustering-1801.00384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-robust-multi-view-clustering-1801.00384"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-analysis-of-sparse-subspace-clustering-with-missing-entries-1801.00393</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-analysis-of-sparse-subspace-clustering-with-missing-entries-1801.00393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-analysis-of-sparse-subspace-clustering-with-missing-entries-1801.00393"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-deep-learning-with-memcomputing-1801.00512</loc><lastmod>2018-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-deep-learning-with-memcomputing-1801.00512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-deep-learning-with-memcomputing-1801.00512"/></url>
<url><loc>https://scifaro.com/en/abs/co-clustering-via-information-theoretic-markov-aggregation-1801.00584</loc><lastmod>2018-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-clustering-via-information-theoretic-markov-aggregation-1801.00584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-clustering-via-information-theoretic-markov-aggregation-1801.00584"/></url>
<url><loc>https://scifaro.com/en/abs/character-level-recurrent-neural-networks-in-practice-comparing-training-and-sampling-schemes-1801.00632</loc><lastmod>2018-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/character-level-recurrent-neural-networks-in-practice-comparing-training-and-sampling-schemes-1801.00632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/character-level-recurrent-neural-networks-in-practice-comparing-training-and-sampling-schemes-1801.00632"/></url>
<url><loc>https://scifaro.com/en/abs/network-scale-traffic-modeling-and-forecasting-with-graphical-lasso-and-neural-networks-1801.00711</loc><lastmod>2018-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-scale-traffic-modeling-and-forecasting-with-graphical-lasso-and-neural-networks-1801.00711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-scale-traffic-modeling-and-forecasting-with-graphical-lasso-and-neural-networks-1801.00711"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-identifying-potential-conceptual-shifts-for-co-creative-drawing-1801.00723</loc><lastmod>2018-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-identifying-potential-conceptual-shifts-for-co-creative-drawing-1801.00723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-identifying-potential-conceptual-shifts-for-co-creative-drawing-1801.00723"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-in-adversarial-setting-and-ill-conditioned-weight-space-1801.00905</loc><lastmod>2018-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-in-adversarial-setting-and-ill-conditioned-weight-space-1801.00905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-in-adversarial-setting-and-ill-conditioned-weight-space-1801.00905"/></url>
<url><loc>https://scifaro.com/en/abs/particle-clustering-machine-a-dynamical-system-based-approach-1801.01017</loc><lastmod>2018-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-clustering-machine-a-dynamical-system-based-approach-1801.01017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-clustering-machine-a-dynamical-system-based-approach-1801.01017"/></url>
<url><loc>https://scifaro.com/en/abs/polynomial-based-rotation-invariant-features-1801.01058</loc><lastmod>2018-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polynomial-based-rotation-invariant-features-1801.01058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polynomial-based-rotation-invariant-features-1801.01058"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-pseudo-randomness-with-an-artificial-neural-network-does-god-play-pseudo-dice-1801.01117</loc><lastmod>2018-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-pseudo-randomness-with-an-artificial-neural-network-does-god-play-pseudo-dice-1801.01117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-pseudo-randomness-with-an-artificial-neural-network-does-god-play-pseudo-dice-1801.01117"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-chronic-disease-hospitalizations-from-electronic-health-records-an-interpretable-classification-approach-1801.01204</loc><lastmod>2018-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-chronic-disease-hospitalizations-from-electronic-health-records-an-interpretable-classification-approach-1801.01204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-chronic-disease-hospitalizations-from-electronic-health-records-an-interpretable-classification-approach-1801.01204"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-ranking-from-pairwise-comparisons-1801.01253</loc><lastmod>2018-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-ranking-from-pairwise-comparisons-1801.01253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-ranking-from-pairwise-comparisons-1801.01253"/></url>
<url><loc>https://scifaro.com/en/abs/soft-actor-critic-off-policy-maximum-entropy-deep-reinforcement-learning-with-a-stochastic-actor-1801.01290</loc><lastmod>2018-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-actor-critic-off-policy-maximum-entropy-deep-reinforcement-learning-with-a-stochastic-actor-1801.01290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-actor-critic-off-policy-maximum-entropy-deep-reinforcement-learning-with-a-stochastic-actor-1801.01290"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-with-hard-attention-to-the-task-1801.01423</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-with-hard-attention-to-the-task-1801.01423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-with-hard-attention-to-the-task-1801.01423"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-of-data-with-missing-entries-1801.01455</loc><lastmod>2018-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-of-data-with-missing-entries-1801.01455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-of-data-with-missing-entries-1801.01455"/></url>
<url><loc>https://scifaro.com/en/abs/an-implementation-of-back-propagation-learning-on-gf11-a-large-simd-parallel-computer-1801.01554</loc><lastmod>2018-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-implementation-of-back-propagation-learning-on-gf11-a-large-simd-parallel-computer-1801.01554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-implementation-of-back-propagation-learning-on-gf11-a-large-simd-parallel-computer-1801.01554"/></url>
<url><loc>https://scifaro.com/en/abs/a-practical-tutorial-on-autoencoders-for-nonlinear-feature-fusion-taxonomy-models-software-and-guidelines-1801.01586</loc><lastmod>2018-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-practical-tutorial-on-autoencoders-for-nonlinear-feature-fusion-taxonomy-models-software-and-guidelines-1801.01586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-practical-tutorial-on-autoencoders-for-nonlinear-feature-fusion-taxonomy-models-software-and-guidelines-1801.01586"/></url>
<url><loc>https://scifaro.com/en/abs/learning-3-d-filtermap-for-deep-convolutional-neural-networks-1801.01609</loc><lastmod>2018-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-3-d-filtermap-for-deep-convolutional-neural-networks-1801.01609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-3-d-filtermap-for-deep-convolutional-neural-networks-1801.01609"/></url>
<url><loc>https://scifaro.com/en/abs/negative-binomial-matrix-factorization-for-recommender-systems-1801.01708</loc><lastmod>2018-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/negative-binomial-matrix-factorization-for-recommender-systems-1801.01708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/negative-binomial-matrix-factorization-for-recommender-systems-1801.01708"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-stochastic-contextual-bandits-1801.01750</loc><lastmod>2018-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-stochastic-contextual-bandits-1801.01750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-stochastic-contextual-bandits-1801.01750"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-with-outlier-removal-1801.01899</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-with-outlier-removal-1801.01899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-with-outlier-removal-1801.01899"/></url>
<url><loc>https://scifaro.com/en/abs/audio-adversarial-examples-targeted-attacks-on-speech-to-text-1801.01944</loc><lastmod>2018-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/audio-adversarial-examples-targeted-attacks-on-speech-to-text-1801.01944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/audio-adversarial-examples-targeted-attacks-on-speech-to-text-1801.01944"/></url>
<url><loc>https://scifaro.com/en/abs/faster-deep-q-learning-using-neural-episodic-control-1801.01968</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-deep-q-learning-using-neural-episodic-control-1801.01968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-deep-q-learning-using-neural-episodic-control-1801.01968"/></url>
<url><loc>https://scifaro.com/en/abs/threshold-auto-tuning-metric-learning-1801.02125</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/threshold-auto-tuning-metric-learning-1801.02125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/threshold-auto-tuning-metric-learning-1801.02125"/></url>
<url><loc>https://scifaro.com/en/abs/deep-bidirectional-and-unidirectional-lstm-recurrent-neural-network-for-network-wide-traffic-speed-prediction-1801.02143</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-bidirectional-and-unidirectional-lstm-recurrent-neural-network-for-network-wide-traffic-speed-prediction-1801.02143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-bidirectional-and-unidirectional-lstm-recurrent-neural-network-for-network-wide-traffic-speed-prediction-1801.02143"/></url>
<url><loc>https://scifaro.com/en/abs/covariant-compositional-networks-for-learning-graphs-1801.02144</loc><lastmod>2018-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariant-compositional-networks-for-learning-graphs-1801.02144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariant-compositional-networks-for-learning-graphs-1801.02144"/></url>
<url><loc>https://scifaro.com/en/abs/applying-an-ensemble-learning-method-for-improving-multi-label-classification-performance-1801.02149</loc><lastmod>2018-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-an-ensemble-learning-method-for-improving-multi-label-classification-performance-1801.02149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-an-ensemble-learning-method-for-improving-multi-label-classification-performance-1801.02149"/></url>
<url><loc>https://scifaro.com/en/abs/building-generalizable-agents-with-a-realistic-and-rich-3d-environment-1801.02209</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-generalizable-agents-with-a-realistic-and-rich-3d-environment-1801.02209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-generalizable-agents-with-a-realistic-and-rich-3d-environment-1801.02209"/></url>
<url><loc>https://scifaro.com/en/abs/theory-of-deep-learning-iib-optimization-properties-of-sgd-1801.02254</loc><lastmod>2018-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-of-deep-learning-iib-optimization-properties-of-sgd-1801.02254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-of-deep-learning-iib-optimization-properties-of-sgd-1801.02254"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-through-transfer-and-architectural-priors-1801.02268</loc><lastmod>2018-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-through-transfer-and-architectural-priors-1801.02268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-through-transfer-and-architectural-priors-1801.02268"/></url>
<url><loc>https://scifaro.com/en/abs/deep-nearest-class-mean-model-for-incremental-odor-classification-1801.02328</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-nearest-class-mean-model-for-incremental-odor-classification-1801.02328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-nearest-class-mean-model-for-incremental-odor-classification-1801.02328"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-contrastive-divergence-1801.02567</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-contrastive-divergence-1801.02567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-contrastive-divergence-1801.02567"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-adversarial-subspaces-using-local-intrinsic-dimensionality-1801.02613</loc><lastmod>2018-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-adversarial-subspaces-using-local-intrinsic-dimensionality-1801.02613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-adversarial-subspaces-using-local-intrinsic-dimensionality-1801.02613"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-framework-for-register-placement-optimization-in-digital-circuit-design-1801.02620</loc><lastmod>2018-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-framework-for-register-placement-optimization-in-digital-circuit-design-1801.02620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-framework-for-register-placement-optimization-in-digital-circuit-design-1801.02620"/></url>
<url><loc>https://scifaro.com/en/abs/graph-memory-networks-for-molecular-activity-prediction-1801.02622</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-memory-networks-for-molecular-activity-prediction-1801.02622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-memory-networks-for-molecular-activity-prediction-1801.02622"/></url>
<url><loc>https://scifaro.com/en/abs/boundary-optimizing-network-bon-1801.02642</loc><lastmod>2018-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boundary-optimizing-network-bon-1801.02642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boundary-optimizing-network-bon-1801.02642"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-urbanization-patterns-with-generative-adversarial-networks-1801.02710</loc><lastmod>2018-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-urbanization-patterns-with-generative-adversarial-networks-1801.02710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-urbanization-patterns-with-generative-adversarial-networks-1801.02710"/></url>
<url><loc>https://scifaro.com/en/abs/compressing-deep-neural-networks-a-new-hashing-pipeline-using-kac-s-random-walk-matrices-1801.02764</loc><lastmod>2018-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressing-deep-neural-networks-a-new-hashing-pipeline-using-kac-s-random-walk-matrices-1801.02764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressing-deep-neural-networks-a-new-hashing-pipeline-using-kac-s-random-walk-matrices-1801.02764"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-preference-based-optimization-1801.02788</loc><lastmod>2018-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-preference-based-optimization-1801.02788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-preference-based-optimization-1801.02788"/></url>
<url><loc>https://scifaro.com/en/abs/convexification-of-neural-graph-1801.02901</loc><lastmod>2018-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convexification-of-neural-graph-1801.02901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convexification-of-neural-graph-1801.02901"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-by-pairing-samples-for-images-classification-1801.02929</loc><lastmod>2018-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-by-pairing-samples-for-images-classification-1801.02929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-by-pairing-samples-for-images-classification-1801.02929"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-with-autoencoders-for-electronic-health-records-a-comparative-study-1801.02961</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-with-autoencoders-for-electronic-health-records-a-comparative-study-1801.02961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-with-autoencoders-for-electronic-health-records-a-comparative-study-1801.02961"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-make-the-gradients-small-stochastically-even-faster-convex-and-nonconvex-sgd-1801.02982</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-make-the-gradients-small-stochastically-even-faster-convex-and-nonconvex-sgd-1801.02982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-make-the-gradients-small-stochastically-even-faster-convex-and-nonconvex-sgd-1801.02982"/></url>
<url><loc>https://scifaro.com/en/abs/ebic-an-evolutionary-based-parallel-biclustering-algorithm-for-pattern-discover-1801.03039</loc><lastmod>2018-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ebic-an-evolutionary-based-parallel-biclustering-algorithm-for-pattern-discover-1801.03039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ebic-an-evolutionary-based-parallel-biclustering-algorithm-for-pattern-discover-1801.03039"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-analysis-of-gradient-descent-algorithms-with-proportional-updates-1801.03137</loc><lastmod>2018-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-analysis-of-gradient-descent-algorithms-with-proportional-updates-1801.03137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-analysis-of-gradient-descent-algorithms-with-proportional-updates-1801.03137"/></url>
<url><loc>https://scifaro.com/en/abs/paranom-a-parallel-anomaly-dataset-generator-1801.03164</loc><lastmod>2018-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/paranom-a-parallel-anomaly-dataset-generator-1801.03164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/paranom-a-parallel-anomaly-dataset-generator-1801.03164"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-graph-convolutional-neural-networks-1801.03226</loc><lastmod>2018-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-graph-convolutional-neural-networks-1801.03226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-graph-convolutional-neural-networks-1801.03226"/></url>
<url><loc>https://scifaro.com/en/abs/ecommercegan-a-generative-adversarial-network-for-e-commerce-1801.03244</loc><lastmod>2018-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ecommercegan-a-generative-adversarial-network-for-e-commerce-1801.03244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ecommercegan-a-generative-adversarial-network-for-e-commerce-1801.03244"/></url>
<url><loc>https://scifaro.com/en/abs/more-adaptive-algorithms-for-adversarial-bandits-1801.03265</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/more-adaptive-algorithms-for-adversarial-bandits-1801.03265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/more-adaptive-algorithms-for-adversarial-bandits-1801.03265"/></url>
<url><loc>https://scifaro.com/en/abs/fooling-end-to-end-speaker-verification-by-adversarial-examples-1801.03339</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fooling-end-to-end-speaker-verification-by-adversarial-examples-1801.03339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fooling-end-to-end-speaker-verification-by-adversarial-examples-1801.03339"/></url>
<url><loc>https://scifaro.com/en/abs/blessing-of-dimensionality-mathematical-foundations-of-the-statistical-physics-of-data-1801.03421</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blessing-of-dimensionality-mathematical-foundations-of-the-statistical-physics-of-data-1801.03421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blessing-of-dimensionality-mathematical-foundations-of-the-statistical-physics-of-data-1801.03421"/></url>
<url><loc>https://scifaro.com/en/abs/a-smoothed-analysis-of-the-greedy-algorithm-for-the-linear-contextual-bandit-problem-1801.03423</loc><lastmod>2018-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-smoothed-analysis-of-the-greedy-algorithm-for-the-linear-contextual-bandit-problem-1801.03423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-smoothed-analysis-of-the-greedy-algorithm-for-the-linear-contextual-bandit-problem-1801.03423"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-beats-concentration-an-approximation-view-on-inference-with-smooth-radial-kernels-1801.03437</loc><lastmod>2018-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-beats-concentration-an-approximation-view-on-inference-with-smooth-radial-kernels-1801.03437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-beats-concentration-an-approximation-view-on-inference-with-smooth-radial-kernels-1801.03437"/></url>
<url><loc>https://scifaro.com/en/abs/inference-suboptimality-in-variational-autoencoders-1801.03558</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-suboptimality-in-variational-autoencoders-1801.03558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-suboptimality-in-variational-autoencoders-1801.03558"/></url>
<url><loc>https://scifaro.com/en/abs/deep-classification-of-epileptic-signals-1801.03610</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-classification-of-epileptic-signals-1801.03610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-classification-of-epileptic-signals-1801.03610"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoders-and-probabilistic-inference-with-missing-data-an-exact-solution-for-the-factor-analysis-case-1801.03851</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoders-and-probabilistic-inference-with-missing-data-an-exact-solution-for-the-factor-analysis-case-1801.03851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoders-and-probabilistic-inference-with-missing-data-an-exact-solution-for-the-factor-analysis-case-1801.03851"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-inferring-a-driver-s-braking-action-in-car-following-scenarios-1801.03905</loc><lastmod>2018-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-inferring-a-driver-s-braking-action-in-car-following-scenarios-1801.03905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-inferring-a-driver-s-braking-action-in-car-following-scenarios-1801.03905"/></url>
<url><loc>https://scifaro.com/en/abs/a-hardware-friendly-algorithm-for-scalable-training-and-deployment-of-dimensionality-reduction-models-on-fpga-1801.04014</loc><lastmod>2018-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hardware-friendly-algorithm-for-scalable-training-and-deployment-of-dimensionality-reduction-models-on-fpga-1801.04014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hardware-friendly-algorithm-for-scalable-training-and-deployment-of-dimensionality-reduction-models-on-fpga-1801.04014"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-impediments-to-machine-learning-with-seven-sparks-from-the-causal-revolution-1801.04016</loc><lastmod>2018-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-impediments-to-machine-learning-with-seven-sparks-from-the-causal-revolution-1801.04016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-impediments-to-machine-learning-with-seven-sparks-from-the-causal-revolution-1801.04016"/></url>
<url><loc>https://scifaro.com/en/abs/a3t-adversarially-augmented-adversarial-training-1801.04055</loc><lastmod>2018-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a3t-adversarially-augmented-adversarial-training-1801.04055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a3t-adversarially-augmented-adversarial-training-1801.04055"/></url>
<url><loc>https://scifaro.com/en/abs/mine-mutual-information-neural-estimation-1801.04062</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mine-mutual-information-neural-estimation-1801.04062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mine-mutual-information-neural-estimation-1801.04062"/></url>
<url><loc>https://scifaro.com/en/abs/towards-arbitrary-noise-augmentation-deep-learning-for-sampling-from-arbitrary-probability-distributions-1801.04211</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-arbitrary-noise-augmentation-deep-learning-for-sampling-from-arbitrary-probability-distributions-1801.04211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-arbitrary-noise-augmentation-deep-learning-for-sampling-from-arbitrary-probability-distributions-1801.04211"/></url>
<url><loc>https://scifaro.com/en/abs/comparative-study-on-generative-adversarial-networks-1801.04271</loc><lastmod>2018-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparative-study-on-generative-adversarial-networks-1801.04271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparative-study-on-generative-adversarial-networks-1801.04271"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-error-bounds-for-noisy-iterative-algorithms-1801.04295</loc><lastmod>2018-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-error-bounds-for-noisy-iterative-algorithms-1801.04295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-error-bounds-for-noisy-iterative-algorithms-1801.04295"/></url>
<url><loc>https://scifaro.com/en/abs/not-all-ops-are-created-equal-1801.04326</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/not-all-ops-are-created-equal-1801.04326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/not-all-ops-are-created-equal-1801.04326"/></url>
<url><loc>https://scifaro.com/en/abs/combining-symbolic-expressions-and-black-box-function-evaluations-in-neural-programs-1801.04342</loc><lastmod>2018-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-symbolic-expressions-and-black-box-function-evaluations-in-neural-programs-1801.04342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-symbolic-expressions-and-black-box-function-evaluations-in-neural-programs-1801.04342"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-in-supervised-learning-an-information-theoretic-approach-1801.04378</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-in-supervised-learning-an-information-theoretic-approach-1801.04378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-in-supervised-learning-an-information-theoretic-approach-1801.04378"/></url>
<url><loc>https://scifaro.com/en/abs/cost-sensitive-convolution-based-neural-networks-for-imbalanced-time-series-classification-1801.04396</loc><lastmod>2018-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-sensitive-convolution-based-neural-networks-for-imbalanced-time-series-classification-1801.04396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-sensitive-convolution-based-neural-networks-for-imbalanced-time-series-classification-1801.04396"/></url>
<url><loc>https://scifaro.com/en/abs/which-training-methods-for-gans-do-actually-converge-1801.04406</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-training-methods-for-gans-do-actually-converge-1801.04406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-training-methods-for-gans-do-actually-converge-1801.04406"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-more-efficient-representation-of-imputation-operators-in-tpot-1801.04407</loc><lastmod>2018-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-more-efficient-representation-of-imputation-operators-in-tpot-1801.04407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-more-efficient-representation-of-imputation-operators-in-tpot-1801.04407"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-lstm-fcns-for-time-series-classification-1801.04503</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-lstm-fcns-for-time-series-classification-1801.04503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-lstm-fcns-for-time-series-classification-1801.04503"/></url>
<url><loc>https://scifaro.com/en/abs/brain-eeg-time-series-selection-a-novel-graph-based-approach-for-classification-1801.04510</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/brain-eeg-time-series-selection-a-novel-graph-based-approach-for-classification-1801.04510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/brain-eeg-time-series-selection-a-novel-graph-based-approach-for-classification-1801.04510"/></url>
<url><loc>https://scifaro.com/en/abs/fix-your-classifier-the-marginal-value-of-training-the-last-weight-layer-1801.04540</loc><lastmod>2018-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fix-your-classifier-the-marginal-value-of-training-the-last-weight-layer-1801.04540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fix-your-classifier-the-marginal-value-of-training-the-last-weight-layer-1801.04540"/></url>
<url><loc>https://scifaro.com/en/abs/towards-imperceptible-and-robust-adversarial-example-attacks-against-neural-networks-1801.04693</loc><lastmod>2018-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-imperceptible-and-robust-adversarial-example-attacks-against-neural-networks-1801.04693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-imperceptible-and-robust-adversarial-example-attacks-against-neural-networks-1801.04693"/></url>
<url><loc>https://scifaro.com/en/abs/tau-fpl-tolerance-constrained-learning-in-linear-time-1801.04701</loc><lastmod>2018-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tau-fpl-tolerance-constrained-learning-in-linear-time-1801.04701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tau-fpl-tolerance-constrained-learning-in-linear-time-1801.04701"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-cipher-cracking-using-discrete-gans-1801.04883</loc><lastmod>2018-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-cipher-cracking-using-discrete-gans-1801.04883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-cipher-cracking-using-discrete-gans-1801.04883"/></url>
<url><loc>https://scifaro.com/en/abs/leapfrogging-for-parallelism-in-deep-neural-networks-1801.04928</loc><lastmod>2018-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leapfrogging-for-parallelism-in-deep-neural-networks-1801.04928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leapfrogging-for-parallelism-in-deep-neural-networks-1801.04928"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-decoding-and-optimizing-support-vector-machine-classification-1801.04929</loc><lastmod>2018-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-decoding-and-optimizing-support-vector-machine-classification-1801.04929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-decoding-and-optimizing-support-vector-machine-classification-1801.04929"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-complexity-of-the-weighted-fused-lasso-1801.04987</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-complexity-of-the-weighted-fused-lasso-1801.04987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-complexity-of-the-weighted-fused-lasso-1801.04987"/></url>
<url><loc>https://scifaro.com/en/abs/global-convergence-of-policy-gradient-methods-for-the-linear-quadratic-regulator-1801.05039</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convergence-of-policy-gradient-methods-for-the-linear-quadratic-regulator-1801.05039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convergence-of-policy-gradient-methods-for-the-linear-quadratic-regulator-1801.05039"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-disharmony-between-dropout-and-batch-normalization-by-variance-shift-1801.05134</loc><lastmod>2018-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-disharmony-between-dropout-and-batch-normalization-by-variance-shift-1801.05134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-disharmony-between-dropout-and-batch-normalization-by-variance-shift-1801.05134"/></url>
<url><loc>https://scifaro.com/en/abs/gitgraph-architecture-search-space-creation-through-frequent-computational-subgraph-mining-1801.05159</loc><lastmod>2018-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gitgraph-architecture-search-space-creation-through-frequent-computational-subgraph-mining-1801.05159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gitgraph-architecture-search-space-creation-through-frequent-computational-subgraph-mining-1801.05159"/></url>
<url><loc>https://scifaro.com/en/abs/rank-selection-of-cp-decomposed-convolutional-layers-with-variational-bayesian-matrix-factorization-1801.05243</loc><lastmod>2018-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-selection-of-cp-decomposed-convolutional-layers-with-variational-bayesian-matrix-factorization-1801.05243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-selection-of-cp-decomposed-convolutional-layers-with-variational-bayesian-matrix-factorization-1801.05243"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-segmentation-through-automatic-feature-learning-1801.05394</loc><lastmod>2018-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-segmentation-through-automatic-feature-learning-1801.05394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-segmentation-through-automatic-feature-learning-1801.05394"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-study-of-rule-extraction-for-recurrent-neural-networks-1801.05420</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-study-of-rule-extraction-for-recurrent-neural-networks-1801.05420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-study-of-rule-extraction-for-recurrent-neural-networks-1801.05420"/></url>
<url><loc>https://scifaro.com/en/abs/solutions-to-problems-with-deep-learning-1801.05457</loc><lastmod>2018-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solutions-to-problems-with-deep-learning-1801.05457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solutions-to-problems-with-deep-learning-1801.05457"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-determining-a-near-optimal-topological-design-without-any-iteration-1801.05463</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-determining-a-near-optimal-topological-design-without-any-iteration-1801.05463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-determining-a-near-optimal-topological-design-without-any-iteration-1801.05463"/></url>
<url><loc>https://scifaro.com/en/abs/ale-additive-latent-effect-models-for-grade-prediction-1801.05535</loc><lastmod>2018-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ale-additive-latent-effect-models-for-grade-prediction-1801.05535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ale-additive-latent-effect-models-for-grade-prediction-1801.05535"/></url>
<url><loc>https://scifaro.com/en/abs/unseen-class-discovery-in-open-world-classification-1801.05609</loc><lastmod>2018-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unseen-class-discovery-in-open-world-classification-1801.05609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unseen-class-discovery-in-open-world-classification-1801.05609"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-reduction-of-biases-in-big-data-sets-for-the-detection-of-irregular-power-usage-1801.05627</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-reduction-of-biases-in-big-data-sets-for-the-detection-of-irregular-power-usage-1801.05627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-reduction-of-biases-in-big-data-sets-for-the-detection-of-irregular-power-usage-1801.05627"/></url>
<url><loc>https://scifaro.com/en/abs/an-overview-of-machine-teaching-1801.05927</loc><lastmod>2018-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-overview-of-machine-teaching-1801.05927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-overview-of-machine-teaching-1801.05927"/></url>
<url><loc>https://scifaro.com/en/abs/faster-learning-by-reduction-of-data-access-time-1801.05931</loc><lastmod>2018-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-learning-by-reduction-of-data-access-time-1801.05931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-learning-by-reduction-of-data-access-time-1801.05931"/></url>
<url><loc>https://scifaro.com/en/abs/non-adversarial-unsupervised-word-translation-1801.06126</loc><lastmod>2018-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-adversarial-unsupervised-word-translation-1801.06126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-adversarial-unsupervised-word-translation-1801.06126"/></url>
<url><loc>https://scifaro.com/en/abs/latitude-a-model-for-mixed-linear-tropical-matrix-factorization-1801.06136</loc><lastmod>2018-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latitude-a-model-for-mixed-linear-tropical-matrix-factorization-1801.06136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latitude-a-model-for-mixed-linear-tropical-matrix-factorization-1801.06136"/></url>
<url><loc>https://scifaro.com/en/abs/mobile-machine-learning-hardware-at-arm-a-systems-on-chip-soc-perspective-1801.06274</loc><lastmod>2018-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mobile-machine-learning-hardware-at-arm-a-systems-on-chip-soc-perspective-1801.06274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mobile-machine-learning-hardware-at-arm-a-systems-on-chip-soc-perspective-1801.06274"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-pharmacovigilance-mining-from-social-media-posts-1801.06294</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-pharmacovigilance-mining-from-social-media-posts-1801.06294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-pharmacovigilance-mining-from-social-media-posts-1801.06294"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-of-strict-partial-orders-a-case-study-on-concept-prerequisite-relations-1801.06481</loc><lastmod>2018-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-of-strict-partial-orders-a-case-study-on-concept-prerequisite-relations-1801.06481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-of-strict-partial-orders-a-case-study-on-concept-prerequisite-relations-1801.06481"/></url>
<url><loc>https://scifaro.com/en/abs/worst-case-optimal-submodular-extensions-for-marginal-estimation-1801.06490</loc><lastmod>2018-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/worst-case-optimal-submodular-extensions-for-marginal-estimation-1801.06490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/worst-case-optimal-submodular-extensions-for-marginal-estimation-1801.06490"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-reduction-in-deep-learning-for-chest-x-ray-analysis-of-lung-cancer-1801.06495</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-reduction-in-deep-learning-for-chest-x-ray-analysis-of-lung-cancer-1801.06495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-reduction-in-deep-learning-for-chest-x-ray-analysis-of-lung-cancer-1801.06495"/></url>
<url><loc>https://scifaro.com/en/abs/curvature-based-comparison-of-two-neural-networks-1801.06801</loc><lastmod>2018-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curvature-based-comparison-of-two-neural-networks-1801.06801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curvature-based-comparison-of-two-neural-networks-1801.06801"/></url>
<url><loc>https://scifaro.com/en/abs/decoupled-learning-for-factorial-marked-temporal-point-processes-1801.06805</loc><lastmod>2018-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupled-learning-for-factorial-marked-temporal-point-processes-1801.06805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupled-learning-for-factorial-marked-temporal-point-processes-1801.06805"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-kernel-similarities-for-predicting-paroxysmal-atrial-fibrillation-from-ecgs-1801.06845</loc><lastmod>2018-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-kernel-similarities-for-predicting-paroxysmal-atrial-fibrillation-from-ecgs-1801.06845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-kernel-similarities-for-predicting-paroxysmal-atrial-fibrillation-from-ecgs-1801.06845"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-iteration-complexity-analysis-of-stochastic-primal-dual-hybrid-gradient-approach-with-high-probability-1801.06934</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-iteration-complexity-analysis-of-stochastic-primal-dual-hybrid-gradient-approach-with-high-probability-1801.06934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-iteration-complexity-analysis-of-stochastic-primal-dual-hybrid-gradient-approach-with-high-probability-1801.06934"/></url>
<url><loc>https://scifaro.com/en/abs/extreme-learning-machine-with-local-connections-1801.06975</loc><lastmod>2018-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extreme-learning-machine-with-local-connections-1801.06975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extreme-learning-machine-with-local-connections-1801.06975"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-prediction-intervals-by-tuning-random-forest-via-meta-validation-1801.07194</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-prediction-intervals-by-tuning-random-forest-via-meta-validation-1801.07194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-prediction-intervals-by-tuning-random-forest-via-meta-validation-1801.07194"/></url>
<url><loc>https://scifaro.com/en/abs/rover-descent-learning-to-optimize-by-learning-to-navigate-on-prototypical-loss-surfaces-1801.07222</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rover-descent-learning-to-optimize-by-learning-to-navigate-on-prototypical-loss-surfaces-1801.07222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rover-descent-learning-to-optimize-by-learning-to-navigate-on-prototypical-loss-surfaces-1801.07222"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-value-aggregation-for-imitation-learning-1801.07292</loc><lastmod>2018-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-value-aggregation-for-imitation-learning-1801.07292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-value-aggregation-for-imitation-learning-1801.07292"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-gradient-boosting-trees-and-neural-networks-for-forecasting-operating-room-data-1801.07384</loc><lastmod>2018-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-gradient-boosting-trees-and-neural-networks-for-forecasting-operating-room-data-1801.07384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-gradient-boosting-trees-and-neural-networks-for-forecasting-operating-room-data-1801.07384"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-two-dimensional-linear-discriminant-analysis-with-regularization-1801.07426</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-two-dimensional-linear-discriminant-analysis-with-regularization-1801.07426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-two-dimensional-linear-discriminant-analysis-with-regularization-1801.07426"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-unwanted-biases-with-adversarial-learning-1801.07593</loc><lastmod>2018-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-unwanted-biases-with-adversarial-learning-1801.07593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-unwanted-biases-with-adversarial-learning-1801.07593"/></url>
<url><loc>https://scifaro.com/en/abs/binary-output-layer-of-feedforward-neural-networks-for-solving-multi-class-classification-problems-1801.07599</loc><lastmod>2018-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-output-layer-of-feedforward-neural-networks-for-solving-multi-class-classification-problems-1801.07599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-output-layer-of-feedforward-neural-networks-for-solving-multi-class-classification-problems-1801.07599"/></url>
<url><loc>https://scifaro.com/en/abs/deeper-insights-into-graph-convolutional-networks-for-semi-supervised-learning-1801.07606</loc><lastmod>2018-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeper-insights-into-graph-convolutional-networks-for-semi-supervised-learning-1801.07606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeper-insights-into-graph-convolutional-networks-for-semi-supervised-learning-1801.07606"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-with-deep-learning-taxonomy-and-new-methods-1801.07648</loc><lastmod>2018-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-with-deep-learning-taxonomy-and-new-methods-1801.07648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-with-deep-learning-taxonomy-and-new-methods-1801.07648"/></url>
<url><loc>https://scifaro.com/en/abs/expectation-learning-for-adaptive-crossmodal-stimuli-association-1801.07654</loc><lastmod>2018-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expectation-learning-for-adaptive-crossmodal-stimuli-association-1801.07654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expectation-learning-for-adaptive-crossmodal-stimuli-association-1801.07654"/></url>
<url><loc>https://scifaro.com/en/abs/drug-selection-via-joint-push-and-learning-to-rank-1801.07691</loc><lastmod>2025-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drug-selection-via-joint-push-and-learning-to-rank-1801.07691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drug-selection-via-joint-push-and-learning-to-rank-1801.07691"/></url>
<url><loc>https://scifaro.com/en/abs/tractable-learning-and-inference-for-large-scale-probabilistic-boolean-networks-1801.07693</loc><lastmod>2018-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tractable-learning-and-inference-for-large-scale-probabilistic-boolean-networks-1801.07693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tractable-learning-and-inference-for-large-scale-probabilistic-boolean-networks-1801.07693"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-neural-networks-1801.07710</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-neural-networks-1801.07710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-neural-networks-1801.07710"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-electromyographic-hand-gesture-signal-classification-using-transfer-learning-1801.07756</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-electromyographic-hand-gesture-signal-classification-using-transfer-learning-1801.07756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-electromyographic-hand-gesture-signal-classification-using-transfer-learning-1801.07756"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-convolutional-neural-networks-for-human-activity-recognition-1801.07827</loc><lastmod>2018-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-convolutional-neural-networks-for-human-activity-recognition-1801.07827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-convolutional-neural-networks-for-human-activity-recognition-1801.07827"/></url>
<url><loc>https://scifaro.com/en/abs/support-vector-machine-active-learning-algorithms-with-query-by-committee-versus-closest-to-hyperplane-selection-1801.07875</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-vector-machine-active-learning-algorithms-with-query-by-committee-versus-closest-to-hyperplane-selection-1801.07875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-vector-machine-active-learning-algorithms-with-query-by-committee-versus-closest-to-hyperplane-selection-1801.07875"/></url>
<url><loc>https://scifaro.com/en/abs/impact-of-batch-size-on-stopping-active-learning-for-text-classification-1801.07887</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impact-of-batch-size-on-stopping-active-learning-for-text-classification-1801.07887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impact-of-batch-size-on-stopping-active-learning-for-text-classification-1801.07887"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretical-investigation-of-graph-degree-as-an-unsupervised-normality-measure-1801.07889</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-investigation-of-graph-degree-as-an-unsupervised-normality-measure-1801.07889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-investigation-of-graph-degree-as-an-unsupervised-normality-measure-1801.07889"/></url>
<url><loc>https://scifaro.com/en/abs/anticipating-epileptic-seizures-through-the-analysis-of-eeg-synchronization-as-a-data-classification-problem-1801.07936</loc><lastmod>2018-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anticipating-epileptic-seizures-through-the-analysis-of-eeg-synchronization-as-a-data-classification-problem-1801.07936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anticipating-epileptic-seizures-through-the-analysis-of-eeg-synchronization-as-a-data-classification-problem-1801.07936"/></url>
<url><loc>https://scifaro.com/en/abs/training-set-debugging-using-trusted-items-1801.08019</loc><lastmod>2018-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-set-debugging-using-trusted-items-1801.08019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-set-debugging-using-trusted-items-1801.08019"/></url>
<url><loc>https://scifaro.com/en/abs/learning-symmetric-and-low-energy-locomotion-1801.08093</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-symmetric-and-low-energy-locomotion-1801.08093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-symmetric-and-low-energy-locomotion-1801.08093"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-recurrent-neural-network-based-on-mixture-layer-1801.08094</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-recurrent-neural-network-based-on-mixture-layer-1801.08094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-recurrent-neural-network-based-on-mixture-layer-1801.08094"/></url>
<url><loc>https://scifaro.com/en/abs/logically-constrained-reinforcement-learning-1801.08099</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logically-constrained-reinforcement-learning-1801.08099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logically-constrained-reinforcement-learning-1801.08099"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-eigenpair-computation-for-graph-laplacian-matrices-theory-and-applications-1801.08196</loc><lastmod>2018-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-eigenpair-computation-for-graph-laplacian-matrices-theory-and-applications-1801.08196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-eigenpair-computation-for-graph-laplacian-matrices-theory-and-applications-1801.08196"/></url>
<url><loc>https://scifaro.com/en/abs/active-neural-localization-1801.08214</loc><lastmod>2018-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-neural-localization-1801.08214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-neural-localization-1801.08214"/></url>
<url><loc>https://scifaro.com/en/abs/effective-building-block-design-for-deep-convolutional-neural-networks-using-search-1801.08577</loc><lastmod>2018-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-building-block-design-for-deep-convolutional-neural-networks-using-search-1801.08577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-building-block-design-for-deep-convolutional-neural-networks-using-search-1801.08577"/></url>
<url><loc>https://scifaro.com/en/abs/quantization-error-as-a-metric-for-dynamic-precision-scaling-in-neural-net-training-1801.08621</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantization-error-as-a-metric-for-dynamic-precision-scaling-in-neural-net-training-1801.08621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantization-error-as-a-metric-for-dynamic-precision-scaling-in-neural-net-training-1801.08621"/></url>
<url><loc>https://scifaro.com/en/abs/recasting-gradient-based-meta-learning-as-hierarchical-bayes-1801.08930</loc><lastmod>2018-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recasting-gradient-based-meta-learning-as-hierarchical-bayes-1801.08930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recasting-gradient-based-meta-learning-as-hierarchical-bayes-1801.08930"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-inference-via-weighted-rademacher-complexity-1801.09028</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-inference-via-weighted-rademacher-complexity-1801.09028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-inference-via-weighted-rademacher-complexity-1801.09028"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-downsampling-for-cost-adjustable-inference-and-improved-regularization-in-convolutional-networks-1801.09335</loc><lastmod>2018-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-downsampling-for-cost-adjustable-inference-and-improved-regularization-in-convolutional-networks-1801.09335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-downsampling-for-cost-adjustable-inference-and-improved-regularization-in-convolutional-networks-1801.09335"/></url>
<url><loc>https://scifaro.com/en/abs/certified-defenses-against-adversarial-examples-1801.09344</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certified-defenses-against-adversarial-examples-1801.09344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certified-defenses-against-adversarial-examples-1801.09344"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-inter-relationships-among-drift-rate-forgetting-rate-bias-variance-profile-and-error-1801.09354</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-inter-relationships-among-drift-rate-forgetting-rate-bias-variance-profile-and-error-1801.09354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-inter-relationships-among-drift-rate-forgetting-rate-bias-variance-profile-and-error-1801.09354"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-dimensionality-reduction-on-graphs-1801.09390</loc><lastmod>2018-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-dimensionality-reduction-on-graphs-1801.09390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-dimensionality-reduction-on-graphs-1801.09390"/></url>
<url><loc>https://scifaro.com/en/abs/learning-combinations-of-activation-functions-1801.09403</loc><lastmod>2019-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-combinations-of-activation-functions-1801.09403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-combinations-of-activation-functions-1801.09403"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-reward-function-for-a-misspecified-model-1801.09624</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-reward-function-for-a-misspecified-model-1801.09624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-reward-function-for-a-misspecified-model-1801.09624"/></url>
<url><loc>https://scifaro.com/en/abs/barrier-certified-adaptive-reinforcement-learning-with-applications-to-brushbot-navigation-1801.09627</loc><lastmod>2019-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/barrier-certified-adaptive-reinforcement-learning-with-applications-to-brushbot-navigation-1801.09627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/barrier-certified-adaptive-reinforcement-learning-with-applications-to-brushbot-navigation-1801.09627"/></url>
<url><loc>https://scifaro.com/en/abs/tempogan-a-temporally-coherent-volumetric-gan-for-super-resolution-fluid-flow-1801.09710</loc><lastmod>2025-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tempogan-a-temporally-coherent-volumetric-gan-for-super-resolution-fluid-flow-1801.09710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tempogan-a-temporally-coherent-volumetric-gan-for-super-resolution-fluid-flow-1801.09710"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-approaches-for-supervised-semantic-labeling-1801.09788</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-approaches-for-supervised-semantic-labeling-1801.09788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-approaches-for-supervised-semantic-labeling-1801.09788"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-autoencoders-for-sequence-models-1801.09797</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-autoencoders-for-sequence-models-1801.09797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-autoencoders-for-sequence-models-1801.09797"/></url>
<url><loc>https://scifaro.com/en/abs/the-intriguing-properties-of-model-explanations-1801.09808</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-intriguing-properties-of-model-explanations-1801.09808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-intriguing-properties-of-model-explanations-1801.09808"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-survival-prediction-with-contextual-explanation-networks-1801.09810</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-survival-prediction-with-contextual-explanation-networks-1801.09810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-survival-prediction-with-contextual-explanation-networks-1801.09810"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-emulate-an-expert-projective-cone-scheduler-1801.09821</loc><lastmod>2018-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-emulate-an-expert-projective-cone-scheduler-1801.09821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-emulate-an-expert-projective-cone-scheduler-1801.09821"/></url>
<url><loc>https://scifaro.com/en/abs/renn-rule-embedded-neural-networks-1801.09856</loc><lastmod>2018-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/renn-rule-embedded-neural-networks-1801.09856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/renn-rule-embedded-neural-networks-1801.09856"/></url>
<url><loc>https://scifaro.com/en/abs/an-incremental-path-following-splitting-method-for-linearly-constrained-nonconvex-nonsmooth-programs-1801.10119</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-incremental-path-following-splitting-method-for-linearly-constrained-nonconvex-nonsmooth-programs-1801.10119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-incremental-path-following-splitting-method-for-linearly-constrained-nonconvex-nonsmooth-programs-1801.10119"/></url>
<url><loc>https://scifaro.com/en/abs/spherical-cnns-1801.10130</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spherical-cnns-1801.10130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spherical-cnns-1801.10130"/></url>
<url><loc>https://scifaro.com/en/abs/sometimes-you-want-to-go-where-everybody-knows-your-name-1801.10182</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sometimes-you-want-to-go-where-everybody-knows-your-name-1801.10182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sometimes-you-want-to-go-where-everybody-knows-your-name-1801.10182"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-bandit-methods-for-high-dimensional-dynamic-pricing-1801.10242</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-bandit-methods-for-high-dimensional-dynamic-pricing-1801.10242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-bandit-methods-for-high-dimensional-dynamic-pricing-1801.10242"/></url>
<url><loc>https://scifaro.com/en/abs/fastgcn-fast-learning-with-graph-convolutional-networks-via-importance-sampling-1801.10247</loc><lastmod>2018-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fastgcn-fast-learning-with-graph-convolutional-networks-via-importance-sampling-1801.10247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fastgcn-fast-learning-with-graph-convolutional-networks-via-importance-sampling-1801.10247"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multi-view-learning-to-rank-1801.10402</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multi-view-learning-to-rank-1801.10402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multi-view-learning-to-rank-1801.10402"/></url>
<url><loc>https://scifaro.com/en/abs/dxnat-deep-neural-networks-for-explaining-non-recurring-traffic-congestion-1802.00002</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dxnat-deep-neural-networks-for-explaining-non-recurring-traffic-congestion-1802.00002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dxnat-deep-neural-networks-for-explaining-non-recurring-traffic-congestion-1802.00002"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-of-nonnegativity-constrained-autoencoders-for-enhanced-understanding-of-data-1802.00003</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-of-nonnegativity-constrained-autoencoders-for-enhanced-understanding-of-data-1802.00003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-of-nonnegativity-constrained-autoencoders-for-enhanced-understanding-of-data-1802.00003"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-backpropagation-algorithm-without-gradient-descent-1802.00027</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-backpropagation-algorithm-without-gradient-descent-1802.00027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-backpropagation-algorithm-without-gradient-descent-1802.00027"/></url>
<url><loc>https://scifaro.com/en/abs/fusarium-damaged-kernels-detection-using-transfer-learning-on-deep-neural-network-architecture-1802.00030</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fusarium-damaged-kernels-detection-using-transfer-learning-on-deep-neural-network-architecture-1802.00030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fusarium-damaged-kernels-detection-using-transfer-learning-on-deep-neural-network-architecture-1802.00030"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-with-deterministic-pattern-a-geometric-perspective-1802.00047</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-with-deterministic-pattern-a-geometric-perspective-1802.00047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-with-deterministic-pattern-a-geometric-perspective-1802.00047"/></url>
<url><loc>https://scifaro.com/en/abs/a-modified-sigma-pi-sigma-neural-network-with-adaptive-choice-of-multinomials-1802.00123</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-modified-sigma-pi-sigma-neural-network-with-adaptive-choice-of-multinomials-1802.00123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-modified-sigma-pi-sigma-neural-network-with-adaptive-choice-of-multinomials-1802.00123"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-the-smaller-norm-less-informative-assumption-in-channel-pruning-of-convolution-layers-1802.00124</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-the-smaller-norm-less-informative-assumption-in-channel-pruning-of-convolution-layers-1802.00124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-the-smaller-norm-less-informative-assumption-in-channel-pruning-of-convolution-layers-1802.00124"/></url>
<url><loc>https://scifaro.com/en/abs/alternating-multi-bit-quantization-for-recurrent-neural-networks-1802.00150</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternating-multi-bit-quantization-for-recurrent-neural-networks-1802.00150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternating-multi-bit-quantization-for-recurrent-neural-networks-1802.00150"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrapping-and-multiple-imputation-ensemble-approaches-for-missing-data-1802.00154</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrapping-and-multiple-imputation-ensemble-approaches-for-missing-data-1802.00154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrapping-and-multiple-imputation-ensemble-approaches-for-missing-data-1802.00154"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-nets-with-interpolating-function-as-output-activation-1802.00168</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-nets-with-interpolating-function-as-output-activation-1802.00168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-nets-with-interpolating-function-as-output-activation-1802.00168"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-space-linear-model-1802.00174</loc><lastmod>2018-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-space-linear-model-1802.00174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-space-linear-model-1802.00174"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-and-unsupervised-anomaly-detection-with-l2-normalized-deep-auto-encoder-representations-1802.00187</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-and-unsupervised-anomaly-detection-with-l2-normalized-deep-auto-encoder-representations-1802.00187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-and-unsupervised-anomaly-detection-with-l2-normalized-deep-auto-encoder-representations-1802.00187"/></url>
<url><loc>https://scifaro.com/en/abs/training-neural-networks-by-using-power-linear-units-polus-1802.00212</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-neural-networks-by-using-power-linear-units-polus-1802.00212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-neural-networks-by-using-power-linear-units-polus-1802.00212"/></url>
<url><loc>https://scifaro.com/en/abs/a-nonparametric-delayed-feedback-model-for-conversion-rate-prediction-1802.00255</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nonparametric-delayed-feedback-model-for-conversion-rate-prediction-1802.00255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nonparametric-delayed-feedback-model-for-conversion-rate-prediction-1802.00255"/></url>
<url><loc>https://scifaro.com/en/abs/one-class-collective-anomaly-detection-based-on-long-short-term-memory-recurrent-neural-networks-1802.00324</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-class-collective-anomaly-detection-based-on-long-short-term-memory-recurrent-neural-networks-1802.00324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-class-collective-anomaly-detection-based-on-long-short-term-memory-recurrent-neural-networks-1802.00324"/></url>
<url><loc>https://scifaro.com/en/abs/classifying-medical-notes-into-standard-disease-codes-using-machine-learning-1802.00382</loc><lastmod>2018-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifying-medical-notes-into-standard-disease-codes-using-machine-learning-1802.00382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifying-medical-notes-into-standard-disease-codes-using-machine-learning-1802.00382"/></url>
<url><loc>https://scifaro.com/en/abs/obfuscated-gradients-give-a-false-sense-of-security-circumventing-defenses-to-adversarial-examples-1802.00420</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/obfuscated-gradients-give-a-false-sense-of-security-circumventing-defenses-to-adversarial-examples-1802.00420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/obfuscated-gradients-give-a-false-sense-of-security-circumventing-defenses-to-adversarial-examples-1802.00420"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-fast-alternating-minimization-for-structured-dictionary-learning-1802.00518</loc><lastmod>2018-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-fast-alternating-minimization-for-structured-dictionary-learning-1802.00518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-fast-alternating-minimization-for-structured-dictionary-learning-1802.00518"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-polypharmacy-side-effects-with-graph-convolutional-networks-1802.00543</loc><lastmod>2018-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-polypharmacy-side-effects-with-graph-convolutional-networks-1802.00543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-polypharmacy-side-effects-with-graph-convolutional-networks-1802.00543"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-deep-convolutional-neural-networks-via-meta-learning-1802.00560</loc><lastmod>2018-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-deep-convolutional-neural-networks-via-meta-learning-1802.00560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-deep-convolutional-neural-networks-via-meta-learning-1802.00560"/></url>
<url><loc>https://scifaro.com/en/abs/dual-memory-neural-computer-for-asynchronous-two-view-sequential-learning-1802.00662</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-memory-neural-computer-for-asynchronous-two-view-sequential-learning-1802.00662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-memory-neural-computer-for-asynchronous-two-view-sequential-learning-1802.00662"/></url>
<url><loc>https://scifaro.com/en/abs/a-generative-model-for-natural-sounds-based-on-latent-force-modelling-1802.00680</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generative-model-for-natural-sounds-based-on-latent-force-modelling-1802.00680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generative-model-for-natural-sounds-based-on-latent-force-modelling-1802.00680"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-memory-of-deep-rnn-1802.00748</loc><lastmod>2018-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-memory-of-deep-rnn-1802.00748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-memory-of-deep-rnn-1802.00748"/></url>
<url><loc>https://scifaro.com/en/abs/vibnn-hardware-acceleration-of-bayesian-neural-networks-1802.00822</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vibnn-hardware-acceleration-of-bayesian-neural-networks-1802.00822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vibnn-hardware-acceleration-of-bayesian-neural-networks-1802.00822"/></url>
<url><loc>https://scifaro.com/en/abs/intriguing-properties-of-randomly-weighted-networks-generalizing-while-learning-next-to-nothing-1802.00844</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intriguing-properties-of-randomly-weighted-networks-generalizing-while-learning-next-to-nothing-1802.00844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intriguing-properties-of-randomly-weighted-networks-generalizing-while-learning-next-to-nothing-1802.00844"/></url>
<url><loc>https://scifaro.com/en/abs/joint-binary-neural-network-for-multi-label-learning-with-applications-to-emotion-classification-1802.00891</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-binary-neural-network-for-multi-label-learning-with-applications-to-emotion-classification-1802.00891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-binary-neural-network-for-multi-label-learning-with-applications-to-emotion-classification-1802.00891"/></url>
<url><loc>https://scifaro.com/en/abs/geniepath-graph-neural-networks-with-adaptive-receptive-paths-1802.00910</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geniepath-graph-neural-networks-with-adaptive-receptive-paths-1802.00910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geniepath-graph-neural-networks-with-adaptive-receptive-paths-1802.00910"/></url>
<url><loc>https://scifaro.com/en/abs/active-continual-fine-tuning-of-convolutional-neural-networks-for-reducing-annotation-efforts-1802.00912</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-continual-fine-tuning-of-convolutional-neural-networks-for-reducing-annotation-efforts-1802.00912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-continual-fine-tuning-of-convolutional-neural-networks-for-reducing-annotation-efforts-1802.00912"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-sentiment-analysis-with-word-level-fusion-and-reinforcement-learning-1802.00924</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-sentiment-analysis-with-word-level-fusion-and-reinforcement-learning-1802.00924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-sentiment-analysis-with-word-level-fusion-and-reinforcement-learning-1802.00924"/></url>
<url><loc>https://scifaro.com/en/abs/memory-fusion-network-for-multi-view-sequential-learning-1802.00927</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-fusion-network-for-multi-view-sequential-learning-1802.00927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-fusion-network-for-multi-view-sequential-learning-1802.00927"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-for-continuous-control-1802.01034</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-for-continuous-control-1802.01034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-for-continuous-control-1802.01034"/></url>
<url><loc>https://scifaro.com/en/abs/deep-temporal-clustering-fully-unsupervised-learning-of-time-domain-features-1802.01059</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-temporal-clustering-fully-unsupervised-learning-of-time-domain-features-1802.01059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-temporal-clustering-fully-unsupervised-learning-of-time-domain-features-1802.01059"/></url>
<url><loc>https://scifaro.com/en/abs/learning-compact-neural-networks-with-regularization-1802.01223</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-compact-neural-networks-with-regularization-1802.01223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-compact-neural-networks-with-regularization-1802.01223"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-multi-class-classification-of-random-forest-using-random-vector-functional-neural-network-and-oblique-decision-surfaces-1802.01240</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-multi-class-classification-of-random-forest-using-random-vector-functional-neural-network-and-oblique-decision-surfaces-1802.01240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-multi-class-classification-of-random-forest-using-random-vector-functional-neural-network-and-oblique-decision-surfaces-1802.01240"/></url>
<url><loc>https://scifaro.com/en/abs/task-aware-compressed-sensing-with-generative-adversarial-networks-1802.01284</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-aware-compressed-sensing-with-generative-adversarial-networks-1802.01284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-aware-compressed-sensing-with-generative-adversarial-networks-1802.01284"/></url>
<url><loc>https://scifaro.com/en/abs/online-compact-convexified-factorization-machine-1802.01379</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-compact-convexified-factorization-machine-1802.01379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-compact-convexified-factorization-machine-1802.01379"/></url>
<url><loc>https://scifaro.com/en/abs/hardening-deep-neural-networks-via-adversarial-model-cascades-1802.01448</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hardening-deep-neural-networks-via-adversarial-model-cascades-1802.01448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hardening-deep-neural-networks-via-adversarial-model-cascades-1802.01448"/></url>
<url><loc>https://scifaro.com/en/abs/explicit-inductive-bias-for-transfer-learning-with-convolutional-networks-1802.01483</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explicit-inductive-bias-for-transfer-learning-with-convolutional-networks-1802.01483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explicit-inductive-bias-for-transfer-learning-with-convolutional-networks-1802.01483"/></url>
<url><loc>https://scifaro.com/en/abs/the-matrix-calculus-you-need-for-deep-learning-1802.01528</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-matrix-calculus-you-need-for-deep-learning-1802.01528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-matrix-calculus-you-need-for-deep-learning-1802.01528"/></url>
<url><loc>https://scifaro.com/en/abs/blind-pre-processing-a-robust-defense-method-against-adversarial-examples-1802.01549</loc><lastmod>2018-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blind-pre-processing-a-robust-defense-method-against-adversarial-examples-1802.01549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blind-pre-processing-a-robust-defense-method-against-adversarial-examples-1802.01549"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-imitation-from-observing-humans-via-domain-adaptive-meta-learning-1802.01557</loc><lastmod>2018-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-imitation-from-observing-humans-via-domain-adaptive-meta-learning-1802.01557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-imitation-from-observing-humans-via-domain-adaptive-meta-learning-1802.01557"/></url>
<url><loc>https://scifaro.com/en/abs/impala-scalable-distributed-deep-rl-with-importance-weighted-actor-learner-architectures-1802.01561</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impala-scalable-distributed-deep-rl-with-importance-weighted-actor-learner-architectures-1802.01561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impala-scalable-distributed-deep-rl-with-importance-weighted-actor-learner-architectures-1802.01561"/></url>
<url><loc>https://scifaro.com/en/abs/selective-sampling-and-mixture-models-in-generative-adversarial-networks-1802.01568</loc><lastmod>2018-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-sampling-and-mixture-models-in-generative-adversarial-networks-1802.01568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-sampling-and-mixture-models-in-generative-adversarial-networks-1802.01568"/></url>
<url><loc>https://scifaro.com/en/abs/alleviating-catastrophic-forgetting-using-context-dependent-gating-and-synaptic-stabilization-1802.01569</loc><lastmod>2019-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alleviating-catastrophic-forgetting-using-context-dependent-gating-and-synaptic-stabilization-1802.01569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alleviating-catastrophic-forgetting-using-context-dependent-gating-and-synaptic-stabilization-1802.01569"/></url>
<url><loc>https://scifaro.com/en/abs/motifnet-a-motif-based-graph-convolutional-network-for-directed-graphs-1802.01572</loc><lastmod>2018-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/motifnet-a-motif-based-graph-convolutional-network-for-directed-graphs-1802.01572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/motifnet-a-motif-based-graph-convolutional-network-for-directed-graphs-1802.01572"/></url>
<url><loc>https://scifaro.com/en/abs/re-weighted-learning-for-sparsifying-deep-neural-networks-1802.01616</loc><lastmod>2018-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/re-weighted-learning-for-sparsifying-deep-neural-networks-1802.01616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/re-weighted-learning-for-sparsifying-deep-neural-networks-1802.01616"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-with-a-rethinking-structure-for-multi-label-classification-1802.01697</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-with-a-rethinking-structure-for-multi-label-classification-1802.01697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-with-a-rethinking-structure-for-multi-label-classification-1802.01697"/></url>
<url><loc>https://scifaro.com/en/abs/shared-autonomy-via-deep-reinforcement-learning-1802.01744</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shared-autonomy-via-deep-reinforcement-learning-1802.01744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shared-autonomy-via-deep-reinforcement-learning-1802.01744"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-coresets-of-kernel-density-estimates-1802.01751</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-coresets-of-kernel-density-estimates-1802.01751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-coresets-of-kernel-density-estimates-1802.01751"/></url>
<url><loc>https://scifaro.com/en/abs/training-generative-adversarial-networks-via-primal-dual-subgradient-methods-a-lagrangian-perspective-on-gan-1802.01765</loc><lastmod>2018-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-generative-adversarial-networks-via-primal-dual-subgradient-methods-a-lagrangian-perspective-on-gan-1802.01765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-generative-adversarial-networks-via-primal-dual-subgradient-methods-a-lagrangian-perspective-on-gan-1802.01765"/></url>
<url><loc>https://scifaro.com/en/abs/decomposition-methods-with-deep-corrections-for-reinforcement-learning-1802.01772</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decomposition-methods-with-deep-corrections-for-reinforcement-learning-1802.01772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decomposition-methods-with-deep-corrections-for-reinforcement-learning-1802.01772"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-link-networks-1802.01808</loc><lastmod>2018-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-link-networks-1802.01808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-link-networks-1802.01808"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-feasibility-of-generic-deep-disaggregation-for-single-load-extraction-1802.02139</loc><lastmod>2018-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-feasibility-of-generic-deep-disaggregation-for-single-load-extraction-1802.02139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-feasibility-of-generic-deep-disaggregation-for-single-load-extraction-1802.02139"/></url>
<url><loc>https://scifaro.com/en/abs/deeptravel-a-neural-network-based-travel-time-estimation-model-with-auxiliary-supervision-1802.02147</loc><lastmod>2018-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeptravel-a-neural-network-based-travel-time-estimation-model-with-auxiliary-supervision-1802.02147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeptravel-a-neural-network-based-travel-time-estimation-model-with-auxiliary-supervision-1802.02147"/></url>
<url><loc>https://scifaro.com/en/abs/granger-causal-attentive-mixtures-of-experts-learning-important-features-with-neural-networks-1802.02195</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/granger-causal-attentive-mixtures-of-experts-learning-important-features-with-neural-networks-1802.02195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/granger-causal-attentive-mixtures-of-experts-learning-important-features-with-neural-networks-1802.02195"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-approach-to-reconstruction-of-heart-surface-potentials-from-body-surface-potentials-1802.02240</loc><lastmod>2018-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-approach-to-reconstruction-of-heart-surface-potentials-from-body-surface-potentials-1802.02240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-approach-to-reconstruction-of-heart-surface-potentials-from-body-surface-potentials-1802.02240"/></url>
<url><loc>https://scifaro.com/en/abs/from-game-theoretic-multi-agent-log-linear-learning-to-reinforcement-learning-1802.02277</loc><lastmod>2018-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-game-theoretic-multi-agent-log-linear-learning-to-reinforcement-learning-1802.02277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-game-theoretic-multi-agent-log-linear-learning-to-reinforcement-learning-1802.02277"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-learning-of-binomial-hmms-for-dna-methylation-data-1802.02498</loc><lastmod>2018-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-learning-of-binomial-hmms-for-dna-methylation-data-1802.02498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-learning-of-binomial-hmms-for-dna-methylation-data-1802.02498"/></url>
<url><loc>https://scifaro.com/en/abs/deepheart-semi-supervised-sequence-learning-for-cardiovascular-risk-prediction-1802.02511</loc><lastmod>2018-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepheart-semi-supervised-sequence-learning-for-cardiovascular-risk-prediction-1802.02511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepheart-semi-supervised-sequence-learning-for-cardiovascular-risk-prediction-1802.02511"/></url>
<url><loc>https://scifaro.com/en/abs/directly-and-efficiently-optimizing-prediction-error-and-auc-of-linear-classifiers-1802.02535</loc><lastmod>2018-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directly-and-efficiently-optimizing-prediction-error-and-auc-of-linear-classifiers-1802.02535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directly-and-efficiently-optimizing-prediction-error-and-auc-of-linear-classifiers-1802.02535"/></url>
<url><loc>https://scifaro.com/en/abs/learning-one-convolutional-layer-with-overlapping-patches-1802.02547</loc><lastmod>2018-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-one-convolutional-layer-with-overlapping-patches-1802.02547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-one-convolutional-layer-with-overlapping-patches-1802.02547"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-hurricane-trajectories-using-a-recurrent-neural-network-1802.02548</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-hurricane-trajectories-using-a-recurrent-neural-network-1802.02548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-hurricane-trajectories-using-a-recurrent-neural-network-1802.02548"/></url>
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<url><loc>https://scifaro.com/en/abs/geometry-score-a-method-for-comparing-generative-adversarial-networks-1802.02664</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometry-score-a-method-for-comparing-generative-adversarial-networks-1802.02664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometry-score-a-method-for-comparing-generative-adversarial-networks-1802.02664"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-universality-and-learnability-of-neural-programmer-interpreters-with-combinator-abstraction-1802.02696</loc><lastmod>2018-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-universality-and-learnability-of-neural-programmer-interpreters-with-combinator-abstraction-1802.02696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-universality-and-learnability-of-neural-programmer-interpreters-with-combinator-abstraction-1802.02696"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-a-comprehensive-survey-1802.02871</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-a-comprehensive-survey-1802.02871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-a-comprehensive-survey-1802.02871"/></url>
<url><loc>https://scifaro.com/en/abs/tsviz-demystification-of-deep-learning-models-for-time-series-analysis-1802.02952</loc><lastmod>2020-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tsviz-demystification-of-deep-learning-models-for-time-series-analysis-1802.02952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tsviz-demystification-of-deep-learning-models-for-time-series-analysis-1802.02952"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-wavelet-representations-1802.02961</loc><lastmod>2018-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-wavelet-representations-1802.02961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-wavelet-representations-1802.02961"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-querying-fast-generative-models-for-reinforcement-learning-1802.03006</loc><lastmod>2018-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-querying-fast-generative-models-for-reinforcement-learning-1802.03006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-querying-fast-generative-models-for-reinforcement-learning-1802.03006"/></url>
<url><loc>https://scifaro.com/en/abs/learning-latent-representations-in-neural-networks-for-clustering-through-pseudo-supervision-and-graph-based-activity-regularization-1802.03063</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-latent-representations-in-neural-networks-for-clustering-through-pseudo-supervision-and-graph-based-activity-regularization-1802.03063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-latent-representations-in-neural-networks-for-clustering-through-pseudo-supervision-and-graph-based-activity-regularization-1802.03063"/></url>
<url><loc>https://scifaro.com/en/abs/relational-autoencoder-for-feature-extraction-1802.03145</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-autoencoder-for-feature-extraction-1802.03145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-autoencoder-for-feature-extraction-1802.03145"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-metric-learning-1802.03170</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-metric-learning-1802.03170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-metric-learning-1802.03170"/></url>
<url><loc>https://scifaro.com/en/abs/self-bounded-prediction-suffix-tree-via-approximate-string-matching-1802.03184</loc><lastmod>2018-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-bounded-prediction-suffix-tree-via-approximate-string-matching-1802.03184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-bounded-prediction-suffix-tree-via-approximate-string-matching-1802.03184"/></url>
<url><loc>https://scifaro.com/en/abs/using-discretization-for-extending-the-set-of-predictive-features-1802.03239</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-discretization-for-extending-the-set-of-predictive-features-1802.03239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-discretization-for-extending-the-set-of-predictive-features-1802.03239"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-neural-architecture-search-via-parameter-sharing-1802.03268</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-neural-architecture-search-via-parameter-sharing-1802.03268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-neural-architecture-search-via-parameter-sharing-1802.03268"/></url>
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<url><loc>https://scifaro.com/en/abs/large-scale-constrained-linear-regression-revisited-faster-algorithms-via-preconditioning-1802.03337</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-constrained-linear-regression-revisited-faster-algorithms-via-preconditioning-1802.03337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-constrained-linear-regression-revisited-faster-algorithms-via-preconditioning-1802.03337"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-malicious-flow-detection-1802.03358</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-malicious-flow-detection-1802.03358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-malicious-flow-detection-1802.03358"/></url>
<url><loc>https://scifaro.com/en/abs/make-the-minority-great-again-first-order-regret-bound-for-contextual-bandits-1802.03386</loc><lastmod>2018-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/make-the-minority-great-again-first-order-regret-bound-for-contextual-bandits-1802.03386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/make-the-minority-great-again-first-order-regret-bound-for-contextual-bandits-1802.03386"/></url>
<url><loc>https://scifaro.com/en/abs/learning-local-metrics-and-influential-regions-for-classification-1802.03452</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-local-metrics-and-influential-regions-for-classification-1802.03452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-local-metrics-and-influential-regions-for-classification-1802.03452"/></url>
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<url><loc>https://scifaro.com/en/abs/graphvae-towards-generation-of-small-graphs-using-variational-autoencoders-1802.03480</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphvae-towards-generation-of-small-graphs-using-variational-autoencoders-1802.03480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphvae-towards-generation-of-small-graphs-using-variational-autoencoders-1802.03480"/></url>
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<url><loc>https://scifaro.com/en/abs/small-nonlinearities-in-activation-functions-create-bad-local-minima-in-neural-networks-1802.03487</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-nonlinearities-in-activation-functions-create-bad-local-minima-in-neural-networks-1802.03487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-nonlinearities-in-activation-functions-create-bad-local-minima-in-neural-networks-1802.03487"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-global-dynamics-from-local-snapshots-with-deep-generative-neural-networks-1802.03497</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-global-dynamics-from-local-snapshots-with-deep-generative-neural-networks-1802.03497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-global-dynamics-from-local-snapshots-with-deep-generative-neural-networks-1802.03497"/></url>
<url><loc>https://scifaro.com/en/abs/local-contrast-learning-1802.03499</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-contrast-learning-1802.03499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-contrast-learning-1802.03499"/></url>
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<url><loc>https://scifaro.com/en/abs/bayesian-optimization-using-monotonicity-information-and-its-application-in-machine-learning-hyperparameter-1802.03532</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-using-monotonicity-information-and-its-application-in-machine-learning-hyperparameter-1802.03532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-using-monotonicity-information-and-its-application-in-machine-learning-hyperparameter-1802.03532"/></url>
<url><loc>https://scifaro.com/en/abs/the-importance-of-norm-regularization-in-linear-graph-embedding-theoretical-analysis-and-empirical-demonstration-1802.03560</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-importance-of-norm-regularization-in-linear-graph-embedding-theoretical-analysis-and-empirical-demonstration-1802.03560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-importance-of-norm-regularization-in-linear-graph-embedding-theoretical-analysis-and-empirical-demonstration-1802.03560"/></url>
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<url><loc>https://scifaro.com/en/abs/distributed-one-class-learning-1802.03583</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-one-class-learning-1802.03583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-one-class-learning-1802.03583"/></url>
<url><loc>https://scifaro.com/en/abs/deep-meta-learning-learning-to-learn-in-the-concept-space-1802.03596</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-meta-learning-learning-to-learn-in-the-concept-space-1802.03596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-meta-learning-learning-to-learn-in-the-concept-space-1802.03596"/></url>
<url><loc>https://scifaro.com/en/abs/feature-distributed-svrg-for-high-dimensional-linear-classification-1802.03604</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-distributed-svrg-for-high-dimensional-linear-classification-1802.03604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-distributed-svrg-for-high-dimensional-linear-classification-1802.03604"/></url>
<url><loc>https://scifaro.com/en/abs/combinets-creativity-via-recombination-of-neural-networks-1802.03605</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinets-creativity-via-recombination-of-neural-networks-1802.03605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinets-creativity-via-recombination-of-neural-networks-1802.03605"/></url>
<url><loc>https://scifaro.com/en/abs/learning-correlation-space-for-time-series-1802.03628</loc><lastmod>2018-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-correlation-space-for-time-series-1802.03628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-correlation-space-for-time-series-1802.03628"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-universal-approximability-and-complexity-bounds-of-quantized-relu-neural-networks-1802.03646</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-universal-approximability-and-complexity-bounds-of-quantized-relu-neural-networks-1802.03646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-universal-approximability-and-complexity-bounds-of-quantized-relu-neural-networks-1802.03646"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-with-t-exponential-bayesian-kitchen-sinks-1802.03651</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-with-t-exponential-bayesian-kitchen-sinks-1802.03651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-with-t-exponential-bayesian-kitchen-sinks-1802.03651"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-convolutional-networks-with-apple-automatic-patch-pattern-labeling-for-explanation-1802.03675</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-convolutional-networks-with-apple-automatic-patch-pattern-labeling-for-explanation-1802.03675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-convolutional-networks-with-apple-automatic-patch-pattern-labeling-for-explanation-1802.03675"/></url>
<url><loc>https://scifaro.com/en/abs/dual-control-memory-augmented-neural-networks-for-treatment-recommendations-1802.03689</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-control-memory-augmented-neural-networks-for-treatment-recommendations-1802.03689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-control-memory-augmented-neural-networks-for-treatment-recommendations-1802.03689"/></url>
<url><loc>https://scifaro.com/en/abs/pca-based-missing-information-imputation-for-real-time-crash-likelihood-prediction-under-imbalanced-data-1802.03699</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pca-based-missing-information-imputation-for-real-time-crash-likelihood-prediction-under-imbalanced-data-1802.03699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pca-based-missing-information-imputation-for-real-time-crash-likelihood-prediction-under-imbalanced-data-1802.03699"/></url>
<url><loc>https://scifaro.com/en/abs/convex-formulations-for-fair-principal-component-analysis-1802.03765</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-formulations-for-fair-principal-component-analysis-1802.03765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-formulations-for-fair-principal-component-analysis-1802.03765"/></url>
<url><loc>https://scifaro.com/en/abs/on-kernel-method-based-connectionist-models-and-supervised-deep-learning-without-backpropagation-1802.03774</loc><lastmod>2020-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-kernel-method-based-connectionist-models-and-supervised-deep-learning-without-backpropagation-1802.03774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-kernel-method-based-connectionist-models-and-supervised-deep-learning-without-backpropagation-1802.03774"/></url>
<url><loc>https://scifaro.com/en/abs/influence-directed-explanations-for-deep-convolutional-networks-1802.03788</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/influence-directed-explanations-for-deep-convolutional-networks-1802.03788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/influence-directed-explanations-for-deep-convolutional-networks-1802.03788"/></url>
<url><loc>https://scifaro.com/en/abs/curriculum-learning-by-transfer-learning-theory-and-experiments-with-deep-networks-1802.03796</loc><lastmod>2023-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curriculum-learning-by-transfer-learning-theory-and-experiments-with-deep-networks-1802.03796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curriculum-learning-by-transfer-learning-theory-and-experiments-with-deep-networks-1802.03796"/></url>
<url><loc>https://scifaro.com/en/abs/quadrature-based-features-for-kernel-approximation-1802.03832</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quadrature-based-features-for-kernel-approximation-1802.03832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quadrature-based-features-for-kernel-approximation-1802.03832"/></url>
<url><loc>https://scifaro.com/en/abs/katyusha-x-practical-momentum-method-for-stochastic-sum-of-nonconvex-optimization-1802.03866</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/katyusha-x-practical-momentum-method-for-stochastic-sum-of-nonconvex-optimization-1802.03866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/katyusha-x-practical-momentum-method-for-stochastic-sum-of-nonconvex-optimization-1802.03866"/></url>
<url><loc>https://scifaro.com/en/abs/pril-perceptron-ranking-using-interval-labeled-data-1802.03873</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pril-perceptron-ranking-using-interval-labeled-data-1802.03873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pril-perceptron-ranking-using-interval-labeled-data-1802.03873"/></url>
<url><loc>https://scifaro.com/en/abs/pseudo-recursal-solving-the-catastrophic-forgetting-problem-in-deep-neural-networks-1802.03875</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pseudo-recursal-solving-the-catastrophic-forgetting-problem-in-deep-neural-networks-1802.03875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pseudo-recursal-solving-the-catastrophic-forgetting-problem-in-deep-neural-networks-1802.03875"/></url>
<url><loc>https://scifaro.com/en/abs/closnets-a-priori-sparse-topologies-for-faster-dnn-training-1802.03885</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/closnets-a-priori-sparse-topologies-for-faster-dnn-training-1802.03885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/closnets-a-priori-sparse-topologies-for-faster-dnn-training-1802.03885"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-individualized-feature-attribution-for-tree-ensembles-1802.03888</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-individualized-feature-attribution-for-tree-ensembles-1802.03888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-individualized-feature-attribution-for-tree-ensembles-1802.03888"/></url>
<url><loc>https://scifaro.com/en/abs/q-learning-with-nearest-neighbors-1802.03900</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/q-learning-with-nearest-neighbors-1802.03900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/q-learning-with-nearest-neighbors-1802.03900"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-anomaly-detection-via-variational-auto-encoder-for-seasonal-kpis-in-web-applications-1802.03903</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-anomaly-detection-via-variational-auto-encoder-for-seasonal-kpis-in-web-applications-1802.03903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-anomaly-detection-via-variational-auto-encoder-for-seasonal-kpis-in-web-applications-1802.03903"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-and-correcting-for-label-shift-with-black-box-predictors-1802.03916</loc><lastmod>2018-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-and-correcting-for-label-shift-with-black-box-predictors-1802.03916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-and-correcting-for-label-shift-with-black-box-predictors-1802.03916"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-needs-for-rotations-in-hypercubic-quantization-hashing-1802.03936</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-needs-for-rotations-in-hypercubic-quantization-hashing-1802.03936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-needs-for-rotations-in-hypercubic-quantization-hashing-1802.03936"/></url>
<url><loc>https://scifaro.com/en/abs/email-classification-into-relevant-category-using-neural-networks-1802.03971</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/email-classification-into-relevant-category-using-neural-networks-1802.03971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/email-classification-into-relevant-category-using-neural-networks-1802.03971"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-wasserstein-distance-regularisation-with-applications-to-multipolicy-learning-1802.03976</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-wasserstein-distance-regularisation-with-applications-to-multipolicy-learning-1802.03976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-wasserstein-distance-regularisation-with-applications-to-multipolicy-learning-1802.03976"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-filtering-for-general-linear-dynamical-systems-1802.03981</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-filtering-for-general-linear-dynamical-systems-1802.03981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-filtering-for-general-linear-dynamical-systems-1802.03981"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bias-span-constrained-exploration-exploitation-in-reinforcement-learning-1802.04020</loc><lastmod>2018-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bias-span-constrained-exploration-exploitation-in-reinforcement-learning-1802.04020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bias-span-constrained-exploration-exploitation-in-reinforcement-learning-1802.04020"/></url>
<url><loc>https://scifaro.com/en/abs/fair-and-diverse-dpp-based-data-summarization-1802.04023</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-and-diverse-dpp-based-data-summarization-1802.04023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-and-diverse-dpp-based-data-summarization-1802.04023"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-the-time-varying-functional-connectivity-of-large-scale-computer-networks-from-emitted-events-1802.04036</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-the-time-varying-functional-connectivity-of-large-scale-computer-networks-from-emitted-events-1802.04036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-the-time-varying-functional-connectivity-of-large-scale-computer-networks-from-emitted-events-1802.04036"/></url>
<url><loc>https://scifaro.com/en/abs/taking-gradients-through-experiments-lstms-and-memory-proximal-policy-optimization-for-black-box-quantum-control-1802.04063</loc><lastmod>2018-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taking-gradients-through-experiments-lstms-and-memory-proximal-policy-optimization-for-black-box-quantum-control-1802.04063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taking-gradients-through-experiments-lstms-and-memory-proximal-policy-optimization-for-black-box-quantum-control-1802.04063"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-risk-minimization-in-non-interactive-local-differential-privacy-efficiency-and-high-dimensional-case-1802.04085</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-risk-minimization-in-non-interactive-local-differential-privacy-efficiency-and-high-dimensional-case-1802.04085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-risk-minimization-in-non-interactive-local-differential-privacy-efficiency-and-high-dimensional-case-1802.04085"/></url>
<url><loc>https://scifaro.com/en/abs/policy-gradients-for-contextual-recommendations-1802.04162</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-gradients-for-contextual-recommendations-1802.04162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-gradients-for-contextual-recommendations-1802.04162"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-reduction-using-active-manifolds-1802.04178</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-reduction-using-active-manifolds-1802.04178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-reduction-using-active-manifolds-1802.04178"/></url>
<url><loc>https://scifaro.com/en/abs/electric-vehicle-driver-clustering-using-statistical-model-and-machine-learning-1802.04193</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/electric-vehicle-driver-clustering-using-statistical-model-and-machine-learning-1802.04193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/electric-vehicle-driver-clustering-using-statistical-model-and-machine-learning-1802.04193"/></url>
<url><loc>https://scifaro.com/en/abs/fast-interactive-image-retrieval-using-large-scale-unlabeled-data-1802.04204</loc><lastmod>2018-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-interactive-image-retrieval-using-large-scale-unlabeled-data-1802.04204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-interactive-image-retrieval-using-large-scale-unlabeled-data-1802.04204"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-reject-option-classifier-using-successive-linear-programming-1802.04235</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-reject-option-classifier-using-successive-linear-programming-1802.04235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-reject-option-classifier-using-successive-linear-programming-1802.04235"/></url>
<url><loc>https://scifaro.com/en/abs/global-model-interpretation-via-recursive-partitioning-1802.04253</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-model-interpretation-via-recursive-partitioning-1802.04253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-model-interpretation-via-recursive-partitioning-1802.04253"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-model-based-deep-reinforcement-learning-with-variational-state-tabulation-1802.04325</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-model-based-deep-reinforcement-learning-with-variational-state-tabulation-1802.04325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-model-based-deep-reinforcement-learning-with-variational-state-tabulation-1802.04325"/></url>
<url><loc>https://scifaro.com/en/abs/multi-armed-bandits-on-partially-revealed-unit-interval-graphs-1802.04339</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-armed-bandits-on-partially-revealed-unit-interval-graphs-1802.04339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-armed-bandits-on-partially-revealed-unit-interval-graphs-1802.04339"/></url>
<url><loc>https://scifaro.com/en/abs/gaining-free-or-low-cost-transparency-with-interpretable-partial-substitute-1802.04346</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaining-free-or-low-cost-transparency-with-interpretable-partial-substitute-1802.04346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaining-free-or-low-cost-transparency-with-interpretable-partial-substitute-1802.04346"/></url>
<url><loc>https://scifaro.com/en/abs/cost-aware-learning-for-improved-identifiability-with-multiple-experiments-1802.04350</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-aware-learning-for-improved-identifiability-with-multiple-experiments-1802.04350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-aware-learning-for-improved-identifiability-with-multiple-experiments-1802.04350"/></url>
<url><loc>https://scifaro.com/en/abs/junction-tree-variational-autoencoder-for-molecular-graph-generation-1802.04364</loc><lastmod>2019-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/junction-tree-variational-autoencoder-for-molecular-graph-generation-1802.04364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/junction-tree-variational-autoencoder-for-molecular-graph-generation-1802.04364"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-neural-network-based-representation-for-open-set-recognition-1802.04365</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-neural-network-based-representation-for-open-set-recognition-1802.04365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-neural-network-based-representation-for-open-set-recognition-1802.04365"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-learning-with-metric-agnostic-conditional-embeddings-1802.04376</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-learning-with-metric-agnostic-conditional-embeddings-1802.04376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-learning-with-metric-agnostic-conditional-embeddings-1802.04376"/></url>
<url><loc>https://scifaro.com/en/abs/classification-from-pairwise-similarity-and-unlabeled-data-1802.04381</loc><lastmod>2018-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-from-pairwise-similarity-and-unlabeled-data-1802.04381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-from-pairwise-similarity-and-unlabeled-data-1802.04381"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-regularized-graph-autoencoder-for-graph-embedding-1802.04407</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-regularized-graph-autoencoder-for-graph-embedding-1802.04407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-regularized-graph-autoencoder-for-graph-embedding-1802.04407"/></url>
<url><loc>https://scifaro.com/en/abs/neural-tensor-factorization-1802.04416</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-tensor-factorization-1802.04416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-tensor-factorization-1802.04416"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-the-generalization-bias-of-two-layer-convolutional-linear-classifiers-with-gradient-descent-1802.04420</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-the-generalization-bias-of-two-layer-convolutional-linear-classifiers-with-gradient-descent-1802.04420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-the-generalization-bias-of-two-layer-convolutional-linear-classifiers-with-gradient-descent-1802.04420"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-spacecraft-anomalies-using-lstms-and-nonparametric-dynamic-thresholding-1802.04431</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-spacecraft-anomalies-using-lstms-and-nonparametric-dynamic-thresholding-1802.04431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-spacecraft-anomalies-using-lstms-and-nonparametric-dynamic-thresholding-1802.04431"/></url>
<url><loc>https://scifaro.com/en/abs/signsgd-compressed-optimisation-for-non-convex-problems-1802.04434</loc><lastmod>2018-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signsgd-compressed-optimisation-for-non-convex-problems-1802.04434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signsgd-compressed-optimisation-for-non-convex-problems-1802.04434"/></url>
<url><loc>https://scifaro.com/en/abs/on-characterizing-the-capacity-of-neural-networks-using-algebraic-topology-1802.04443</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-characterizing-the-capacity-of-neural-networks-using-algebraic-topology-1802.04443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-characterizing-the-capacity-of-neural-networks-using-algebraic-topology-1802.04443"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-adversarial-examples-with-high-confidence-1802.04457</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-adversarial-examples-with-high-confidence-1802.04457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-adversarial-examples-with-high-confidence-1802.04457"/></url>
<url><loc>https://scifaro.com/en/abs/information-scaling-law-of-deep-neural-networks-1802.04473</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-scaling-law-of-deep-neural-networks-1802.04473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-scaling-law-of-deep-neural-networks-1802.04473"/></url>
<url><loc>https://scifaro.com/en/abs/flipped-adversarial-autoencoders-1802.04504</loc><lastmod>2018-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flipped-adversarial-autoencoders-1802.04504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flipped-adversarial-autoencoders-1802.04504"/></url>
<url><loc>https://scifaro.com/en/abs/deceiving-end-to-end-deep-learning-malware-detectors-using-adversarial-examples-1802.04528</loc><lastmod>2019-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deceiving-end-to-end-deep-learning-malware-detectors-using-adversarial-examples-1802.04528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deceiving-end-to-end-deep-learning-malware-detectors-using-adversarial-examples-1802.04528"/></url>
<url><loc>https://scifaro.com/en/abs/first-order-generative-adversarial-networks-1802.04591</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/first-order-generative-adversarial-networks-1802.04591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/first-order-generative-adversarial-networks-1802.04591"/></url>
<url><loc>https://scifaro.com/en/abs/logarithmic-regret-for-online-gradient-descent-beyond-strong-convexity-1802.04623</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logarithmic-regret-for-online-gradient-descent-beyond-strong-convexity-1802.04623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logarithmic-regret-for-online-gradient-descent-beyond-strong-convexity-1802.04623"/></url>
<url><loc>https://scifaro.com/en/abs/barista-a-graphical-tool-for-designing-and-training-deep-neural-networks-1802.04626</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/barista-a-graphical-tool-for-designing-and-training-deep-neural-networks-1802.04626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/barista-a-graphical-tool-for-designing-and-training-deep-neural-networks-1802.04626"/></url>
<url><loc>https://scifaro.com/en/abs/turning-your-weakness-into-a-strength-watermarking-deep-neural-networks-by-backdooring-1802.04633</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/turning-your-weakness-into-a-strength-watermarking-deep-neural-networks-by-backdooring-1802.04633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/turning-your-weakness-into-a-strength-watermarking-deep-neural-networks-by-backdooring-1802.04633"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-with-apache-systemml-1802.04647</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-with-apache-systemml-1802.04647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-with-apache-systemml-1802.04647"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-and-mitigating-the-impact-of-permanent-faults-on-a-systolic-array-based-neural-network-accelerator-1802.04657</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-and-mitigating-the-impact-of-permanent-faults-on-a-systolic-array-based-neural-network-accelerator-1802.04657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-and-mitigating-the-impact-of-permanent-faults-on-a-systolic-array-based-neural-network-accelerator-1802.04657"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-loss-to-followup-information-using-denoising-autoencoders-1802.04664</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-loss-to-followup-information-using-denoising-autoencoders-1802.04664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-loss-to-followup-information-using-denoising-autoencoders-1802.04664"/></url>
<url><loc>https://scifaro.com/en/abs/training-and-inference-with-integers-in-deep-neural-networks-1802.04680</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-and-inference-with-integers-in-deep-neural-networks-1802.04680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-and-inference-with-integers-in-deep-neural-networks-1802.04680"/></url>
<url><loc>https://scifaro.com/en/abs/hadamard-response-estimating-distributions-privately-efficiently-and-with-little-communication-1802.04705</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hadamard-response-estimating-distributions-privately-efficiently-and-with-little-communication-1802.04705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hadamard-response-estimating-distributions-privately-efficiently-and-with-little-communication-1802.04705"/></url>
<url><loc>https://scifaro.com/en/abs/attention-based-deep-multiple-instance-learning-1802.04712</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-based-deep-multiple-instance-learning-1802.04712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-based-deep-multiple-instance-learning-1802.04712"/></url>
<url><loc>https://scifaro.com/en/abs/predict-and-constrain-modeling-cardinality-in-deep-structured-prediction-1802.04721</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predict-and-constrain-modeling-cardinality-in-deep-structured-prediction-1802.04721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predict-and-constrain-modeling-cardinality-in-deep-structured-prediction-1802.04721"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-uncertainty-in-discrete-continuous-and-skewed-data-with-bayesian-deep-learning-1802.04742</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-uncertainty-in-discrete-continuous-and-skewed-data-with-bayesian-deep-learning-1802.04742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-uncertainty-in-discrete-continuous-and-skewed-data-with-bayesian-deep-learning-1802.04742"/></url>
<url><loc>https://scifaro.com/en/abs/progressive-reinforcement-learning-with-distillation-for-multi-skilled-motion-control-1802.04765</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progressive-reinforcement-learning-with-distillation-for-multi-skilled-motion-control-1802.04765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progressive-reinforcement-learning-with-distillation-for-multi-skilled-motion-control-1802.04765"/></url>
<url><loc>https://scifaro.com/en/abs/improving-quadrature-for-constrained-integrands-1802.04782</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-quadrature-for-constrained-integrands-1802.04782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-quadrature-for-constrained-integrands-1802.04782"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-variance-reduced-cubic-regularized-newton-method-1802.04796</loc><lastmod>2018-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-variance-reduced-cubic-regularized-newton-method-1802.04796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-variance-reduced-cubic-regularized-newton-method-1802.04796"/></url>
<url><loc>https://scifaro.com/en/abs/tvm-an-automated-end-to-end-optimizing-compiler-for-deep-learning-1802.04799</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tvm-an-automated-end-to-end-optimizing-compiler-for-deep-learning-1802.04799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tvm-an-automated-end-to-end-optimizing-compiler-for-deep-learning-1802.04799"/></url>
<url><loc>https://scifaro.com/en/abs/evolved-policy-gradients-1802.04821</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolved-policy-gradients-1802.04821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolved-policy-gradients-1802.04821"/></url>
<url><loc>https://scifaro.com/en/abs/identify-susceptible-locations-in-medical-records-via-adversarial-attacks-on-deep-predictive-models-1802.04822</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identify-susceptible-locations-in-medical-records-via-adversarial-attacks-on-deep-predictive-models-1802.04822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identify-susceptible-locations-in-medical-records-via-adversarial-attacks-on-deep-predictive-models-1802.04822"/></url>
<url><loc>https://scifaro.com/en/abs/challenging-images-for-minds-and-machines-1802.04834</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenging-images-for-minds-and-machines-1802.04834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenging-images-for-minds-and-machines-1802.04834"/></url>
<url><loc>https://scifaro.com/en/abs/learning-via-social-awareness-improving-a-deep-generative-sketching-model-with-facial-feedback-1802.04877</loc><lastmod>2018-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-via-social-awareness-improving-a-deep-generative-sketching-model-with-facial-feedback-1802.04877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-via-social-awareness-improving-a-deep-generative-sketching-model-with-facial-feedback-1802.04877"/></url>
<url><loc>https://scifaro.com/en/abs/field-programmable-deep-neural-network-dnn-learning-and-inference-accelerator-a-concept-1802.04899</loc><lastmod>2018-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/field-programmable-deep-neural-network-dnn-learning-and-inference-accelerator-a-concept-1802.04899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/field-programmable-deep-neural-network-dnn-learning-and-inference-accelerator-a-concept-1802.04899"/></url>
<url><loc>https://scifaro.com/en/abs/molecular-structure-extraction-from-documents-using-deep-learning-1802.04903</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molecular-structure-extraction-from-documents-using-deep-learning-1802.04903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molecular-structure-extraction-from-documents-using-deep-learning-1802.04903"/></url>
<url><loc>https://scifaro.com/en/abs/prophit-causal-inverse-classification-for-multiple-continuously-valued-treatment-policies-1802.04918</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prophit-causal-inverse-classification-for-multiple-continuously-valued-treatment-policies-1802.04918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prophit-causal-inverse-classification-for-multiple-continuously-valued-treatment-policies-1802.04918"/></url>
<url><loc>https://scifaro.com/en/abs/dvae-discrete-variational-autoencoders-with-overlapping-transformations-1802.04920</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dvae-discrete-variational-autoencoders-with-overlapping-transformations-1802.04920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dvae-discrete-variational-autoencoders-with-overlapping-transformations-1802.04920"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-hidden-dimensions-in-parallelizing-convolutional-neural-networks-1802.04924</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-hidden-dimensions-in-parallelizing-convolutional-neural-networks-1802.04924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-hidden-dimensions-in-parallelizing-convolutional-neural-networks-1802.04924"/></url>
<url><loc>https://scifaro.com/en/abs/geometry-based-data-generation-1802.04927</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometry-based-data-generation-1802.04927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometry-based-data-generation-1802.04927"/></url>
<url><loc>https://scifaro.com/en/abs/energy-spatio-temporal-pattern-prediction-for-electric-vehicle-networks-1802.04931</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-spatio-temporal-pattern-prediction-for-electric-vehicle-networks-1802.04931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-spatio-temporal-pattern-prediction-for-electric-vehicle-networks-1802.04931"/></url>
<url><loc>https://scifaro.com/en/abs/isolating-sources-of-disentanglement-in-variational-autoencoders-1802.04942</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/isolating-sources-of-disentanglement-in-variational-autoencoders-1802.04942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/isolating-sources-of-disentanglement-in-variational-autoencoders-1802.04942"/></url>
<url><loc>https://scifaro.com/en/abs/attack-rmse-leaderboard-an-introduction-and-case-study-1802.04947</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attack-rmse-leaderboard-an-introduction-and-case-study-1802.04947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attack-rmse-leaderboard-an-introduction-and-case-study-1802.04947"/></url>
<url><loc>https://scifaro.com/en/abs/graph2seq-scalable-learning-dynamics-for-graphs-1802.04948</loc><lastmod>2018-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph2seq-scalable-learning-dynamics-for-graphs-1802.04948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph2seq-scalable-learning-dynamics-for-graphs-1802.04948"/></url>
<url><loc>https://scifaro.com/en/abs/deslib-a-dynamic-ensemble-selection-library-in-python-1802.04967</loc><lastmod>2020-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deslib-a-dynamic-ensemble-selection-library-in-python-1802.04967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deslib-a-dynamic-ensemble-selection-library-in-python-1802.04967"/></url>
<url><loc>https://scifaro.com/en/abs/not-to-cry-wolf-distantly-supervised-multitask-learning-in-critical-care-1802.05027</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/not-to-cry-wolf-distantly-supervised-multitask-learning-in-critical-care-1802.05027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/not-to-cry-wolf-distantly-supervised-multitask-learning-in-critical-care-1802.05027"/></url>
<url><loc>https://scifaro.com/en/abs/tackling-multilabel-imbalance-through-label-decoupling-and-data-resampling-hybridization-1802.05031</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tackling-multilabel-imbalance-through-label-decoupling-and-data-resampling-hybridization-1802.05031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tackling-multilabel-imbalance-through-label-decoupling-and-data-resampling-hybridization-1802.05031"/></url>
<url><loc>https://scifaro.com/en/abs/dealing-with-difficult-minority-labels-in-imbalanced-mutilabel-data-sets-1802.05033</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dealing-with-difficult-minority-labels-in-imbalanced-mutilabel-data-sets-1802.05033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dealing-with-difficult-minority-labels-in-imbalanced-mutilabel-data-sets-1802.05033"/></url>
<url><loc>https://scifaro.com/en/abs/robust-continuous-co-clustering-1802.05036</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-continuous-co-clustering-1802.05036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-continuous-co-clustering-1802.05036"/></url>
<url><loc>https://scifaro.com/en/abs/gep-pg-decoupling-exploration-and-exploitation-in-deep-reinforcement-learning-algorithms-1802.05054</loc><lastmod>2018-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gep-pg-decoupling-exploration-and-exploitation-in-deep-reinforcement-learning-algorithms-1802.05054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gep-pg-decoupling-exploration-and-exploitation-in-deep-reinforcement-learning-algorithms-1802.05054"/></url>
<url><loc>https://scifaro.com/en/abs/l4-practical-loss-based-stepsize-adaptation-for-deep-learning-1802.05074</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l4-practical-loss-based-stepsize-adaptation-for-deep-learning-1802.05074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l4-practical-loss-based-stepsize-adaptation-for-deep-learning-1802.05074"/></url>
<url><loc>https://scifaro.com/en/abs/dice-the-infinitely-differentiable-monte-carlo-estimator-1802.05098</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dice-the-infinitely-differentiable-monte-carlo-estimator-1802.05098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dice-the-infinitely-differentiable-monte-carlo-estimator-1802.05098"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-and-data-assimilation-for-real-time-production-prediction-in-natural-gas-wells-1802.05141</loc><lastmod>2018-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-and-data-assimilation-for-real-time-production-prediction-in-natural-gas-wells-1802.05141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-and-data-assimilation-for-real-time-production-prediction-in-natural-gas-wells-1802.05141"/></url>
<url><loc>https://scifaro.com/en/abs/a-diffusion-approximation-theory-of-momentum-sgd-in-nonconvex-optimization-1802.05155</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-diffusion-approximation-theory-of-momentum-sgd-in-nonconvex-optimization-1802.05155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-diffusion-approximation-theory-of-momentum-sgd-in-nonconvex-optimization-1802.05155"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-role-of-adaptivity-in-machine-teaching-the-case-of-version-space-learners-1802.05190</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-role-of-adaptivity-in-machine-teaching-the-case-of-version-space-learners-1802.05190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-role-of-adaptivity-in-machine-teaching-the-case-of-version-space-learners-1802.05190"/></url>
<url><loc>https://scifaro.com/en/abs/security-analysis-and-enhancement-of-model-compressed-deep-learning-systems-under-adversarial-attacks-1802.05193</loc><lastmod>2018-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/security-analysis-and-enhancement-of-model-compressed-deep-learning-systems-under-adversarial-attacks-1802.05193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/security-analysis-and-enhancement-of-model-compressed-deep-learning-systems-under-adversarial-attacks-1802.05193"/></url>
<url><loc>https://scifaro.com/en/abs/learning-privacy-preserving-encodings-through-adversarial-training-1802.05214</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-privacy-preserving-encodings-through-adversarial-training-1802.05214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-privacy-preserving-encodings-through-adversarial-training-1802.05214"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-submodular-maximization-1802.05249</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-submodular-maximization-1802.05249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-submodular-maximization-1802.05249"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-empirical-risk-minimization-revisited-faster-and-more-general-1802.05251</loc><lastmod>2018-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-empirical-risk-minimization-revisited-faster-and-more-general-1802.05251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-empirical-risk-minimization-revisited-faster-and-more-general-1802.05251"/></url>
<url><loc>https://scifaro.com/en/abs/nevae-a-deep-generative-model-for-molecular-graphs-1802.05283</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nevae-a-deep-generative-model-for-molecular-graphs-1802.05283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nevae-a-deep-generative-model-for-molecular-graphs-1802.05283"/></url>
<url><loc>https://scifaro.com/en/abs/stronger-generalization-bounds-for-deep-nets-via-a-compression-approach-1802.05296</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stronger-generalization-bounds-for-deep-nets-via-a-compression-approach-1802.05296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stronger-generalization-bounds-for-deep-nets-via-a-compression-approach-1802.05296"/></url>
<url><loc>https://scifaro.com/en/abs/using-trusted-data-to-train-deep-networks-on-labels-corrupted-by-severe-noise-1802.05300</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-trusted-data-to-train-deep-networks-on-labels-corrupted-by-severe-noise-1802.05300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-trusted-data-to-train-deep-networks-on-labels-corrupted-by-severe-noise-1802.05300"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-disentangled-embeddings-with-the-f-statistic-loss-1802.05312</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-disentangled-embeddings-with-the-f-statistic-loss-1802.05312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-disentangled-embeddings-with-the-f-statistic-loss-1802.05312"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-for-non-stationary-a-b-tests-1802.05315</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-for-non-stationary-a-b-tests-1802.05315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-for-non-stationary-a-b-tests-1802.05315"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-generative-models-for-scalable-weakly-supervised-learning-1802.05335</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-generative-models-for-scalable-weakly-supervised-learning-1802.05335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-generative-models-for-scalable-weakly-supervised-learning-1802.05335"/></url>
<url><loc>https://scifaro.com/en/abs/active-feature-acquisition-with-supervised-matrix-completion-1802.05380</loc><lastmod>2018-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-feature-acquisition-with-supervised-matrix-completion-1802.05380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-feature-acquisition-with-supervised-matrix-completion-1802.05380"/></url>
<url><loc>https://scifaro.com/en/abs/fooling-ocr-systems-with-adversarial-text-images-1802.05385</loc><lastmod>2018-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fooling-ocr-systems-with-adversarial-text-images-1802.05385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fooling-ocr-systems-with-adversarial-text-images-1802.05385"/></url>
<url><loc>https://scifaro.com/en/abs/shamap-shape-based-manifold-learning-1802.05386</loc><lastmod>2019-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shamap-shape-based-manifold-learning-1802.05386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shamap-shape-based-manifold-learning-1802.05386"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-over-clustering-via-the-powered-chinese-restaurant-process-1802.05392</loc><lastmod>2018-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-over-clustering-via-the-powered-chinese-restaurant-process-1802.05392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-over-clustering-via-the-powered-chinese-restaurant-process-1802.05392"/></url>
<url><loc>https://scifaro.com/en/abs/cost-effective-training-of-deep-cnns-with-active-model-adaptation-1802.05394</loc><lastmod>2018-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-effective-training-of-deep-cnns-with-active-model-adaptation-1802.05394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-effective-training-of-deep-cnns-with-active-model-adaptation-1802.05394"/></url>
<url><loc>https://scifaro.com/en/abs/putting-a-bug-in-ml-the-moth-olfactory-network-learns-to-read-mnist-1802.05405</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/putting-a-bug-in-ml-the-moth-olfactory-network-learns-to-read-mnist-1802.05405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/putting-a-bug-in-ml-the-moth-olfactory-network-learns-to-read-mnist-1802.05405"/></url>
<url><loc>https://scifaro.com/en/abs/selecting-the-best-in-gans-family-a-post-selection-inference-framework-1802.05411</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selecting-the-best-in-gans-family-a-post-selection-inference-framework-1802.05411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selecting-the-best-in-gans-family-a-post-selection-inference-framework-1802.05411"/></url>
<url><loc>https://scifaro.com/en/abs/teaching-machines-to-code-neural-markup-generation-with-visual-attention-1802.05415</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/teaching-machines-to-code-neural-markup-generation-with-visual-attention-1802.05415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/teaching-machines-to-code-neural-markup-generation-with-visual-attention-1802.05415"/></url>
<url><loc>https://scifaro.com/en/abs/admissible-time-series-motif-discovery-with-missing-data-1802.05472</loc><lastmod>2018-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/admissible-time-series-motif-discovery-with-missing-data-1802.05472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/admissible-time-series-motif-discovery-with-missing-data-1802.05472"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-on-graphs-based-on-local-label-distributions-1802.05563</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-on-graphs-based-on-local-label-distributions-1802.05563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-on-graphs-based-on-local-label-distributions-1802.05563"/></url>
<url><loc>https://scifaro.com/en/abs/improved-complexities-of-conditional-gradient-type-methods-with-applications-to-robust-matrix-recovery-problems-1802.05581</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-complexities-of-conditional-gradient-type-methods-with-applications-to-robust-matrix-recovery-problems-1802.05581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-complexities-of-conditional-gradient-type-methods-with-applications-to-robust-matrix-recovery-problems-1802.05581"/></url>
<url><loc>https://scifaro.com/en/abs/cgans-with-projection-discriminator-1802.05637</loc><lastmod>2018-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cgans-with-projection-discriminator-1802.05637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cgans-with-projection-discriminator-1802.05637"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-boosting-with-piece-wise-linear-regression-trees-1802.05640</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-boosting-with-piece-wise-linear-regression-trees-1802.05640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-boosting-with-piece-wise-linear-regression-trees-1802.05640"/></url>
<url><loc>https://scifaro.com/en/abs/the-mechanics-of-n-player-differentiable-games-1802.05642</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-mechanics-of-n-player-differentiable-games-1802.05642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-mechanics-of-n-player-differentiable-games-1802.05642"/></url>
<url><loc>https://scifaro.com/en/abs/learning-determinantal-point-processes-by-corrective-negative-sampling-1802.05649</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-determinantal-point-processes-by-corrective-negative-sampling-1802.05649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-determinantal-point-processes-by-corrective-negative-sampling-1802.05649"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-risk-and-the-dangers-of-evaluating-against-weak-attacks-1802.05666</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-risk-and-the-dangers-of-evaluating-against-weak-attacks-1802.05666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-risk-and-the-dangers-of-evaluating-against-weak-attacks-1802.05666"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-learning-with-positive-externalities-1802.05693</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-learning-with-positive-externalities-1802.05693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-learning-with-positive-externalities-1802.05693"/></url>
<url><loc>https://scifaro.com/en/abs/fair-clustering-through-fairlets-1802.05733</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-clustering-through-fairlets-1802.05733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-clustering-through-fairlets-1802.05733"/></url>
<url><loc>https://scifaro.com/en/abs/systematic-weight-pruning-of-dnns-using-alternating-direction-method-of-multipliers-1802.05747</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/systematic-weight-pruning-of-dnns-using-alternating-direction-method-of-multipliers-1802.05747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/systematic-weight-pruning-of-dnns-using-alternating-direction-method-of-multipliers-1802.05747"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-relevant-features-from-qft-to-pca-1802.05756</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-relevant-features-from-qft-to-pca-1802.05756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-relevant-features-from-qft-to-pca-1802.05756"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-wasserstein-barycenters-1802.05757</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-wasserstein-barycenters-1802.05757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-wasserstein-barycenters-1802.05757"/></url>
<url><loc>https://scifaro.com/en/abs/masked-conditional-neural-networks-for-automatic-sound-events-recognition-1802.05792</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/masked-conditional-neural-networks-for-automatic-sound-events-recognition-1802.05792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/masked-conditional-neural-networks-for-automatic-sound-events-recognition-1802.05792"/></url>
<url><loc>https://scifaro.com/en/abs/horovod-fast-and-easy-distributed-deep-learning-in-tensorflow-1802.05799</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/horovod-fast-and-easy-distributed-deep-learning-in-tensorflow-1802.05799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/horovod-fast-and-easy-distributed-deep-learning-in-tensorflow-1802.05799"/></url>
<url><loc>https://scifaro.com/en/abs/mpc-inspired-neural-network-policies-for-sequential-decision-making-1802.05803</loc><lastmod>2018-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mpc-inspired-neural-network-policies-for-sequential-decision-making-1802.05803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mpc-inspired-neural-network-policies-for-sequential-decision-making-1802.05803"/></url>
<url><loc>https://scifaro.com/en/abs/auto-encoding-total-correlation-explanation-1802.05822</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-encoding-total-correlation-explanation-1802.05822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-encoding-total-correlation-explanation-1802.05822"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-convolutional-recurrent-networks-to-improve-speech-quality-with-low-impact-on-recognition-accuracy-1802.05874</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-convolutional-recurrent-networks-to-improve-speech-quality-with-low-impact-on-recognition-accuracy-1802.05874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-convolutional-recurrent-networks-to-improve-speech-quality-with-low-impact-on-recognition-accuracy-1802.05874"/></url>
<url><loc>https://scifaro.com/en/abs/combining-linear-non-gaussian-acyclic-model-with-logistic-regression-model-for-estimating-causal-structure-from-mixed-continuous-and-discrete-data-1802.05889</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-linear-non-gaussian-acyclic-model-with-logistic-regression-model-for-estimating-causal-structure-from-mixed-continuous-and-discrete-data-1802.05889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-linear-non-gaussian-acyclic-model-with-logistic-regression-model-for-estimating-causal-structure-from-mixed-continuous-and-discrete-data-1802.05889"/></url>
<url><loc>https://scifaro.com/en/abs/pattern-localization-in-time-series-through-signal-to-model-alignment-in-latent-space-1802.05910</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pattern-localization-in-time-series-through-signal-to-model-alignment-in-latent-space-1802.05910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pattern-localization-in-time-series-through-signal-to-model-alignment-in-latent-space-1802.05910"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-normalization-for-generative-adversarial-networks-1802.05957</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-normalization-for-generative-adversarial-networks-1802.05957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-normalization-for-generative-adversarial-networks-1802.05957"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-based-nonlinear-classifier-for-high-order-data-analysis-1802.05981</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-based-nonlinear-classifier-for-high-order-data-analysis-1802.05981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-based-nonlinear-classifier-for-high-order-data-analysis-1802.05981"/></url>
<url><loc>https://scifaro.com/en/abs/improved-gq-cnn-deep-learning-model-for-planning-robust-grasps-1802.05992</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-gq-cnn-deep-learning-model-for-planning-robust-grasps-1802.05992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-gq-cnn-deep-learning-model-for-planning-robust-grasps-1802.05992"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonality-promoting-distance-metric-learning-convex-relaxation-and-theoretical-analysis-1802.06014</loc><lastmod>2018-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonality-promoting-distance-metric-learning-convex-relaxation-and-theoretical-analysis-1802.06014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonality-promoting-distance-metric-learning-convex-relaxation-and-theoretical-analysis-1802.06014"/></url>
<url><loc>https://scifaro.com/en/abs/variance-based-gradient-compression-for-efficient-distributed-deep-learning-1802.06058</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-based-gradient-compression-for-efficient-distributed-deep-learning-1802.06058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-based-gradient-compression-for-efficient-distributed-deep-learning-1802.06058"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-cognitive-programs-and-machine-learning-1802.06091</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-cognitive-programs-and-machine-learning-1802.06091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-cognitive-programs-and-machine-learning-1802.06091"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-with-identity-initialization-efficiently-learns-positive-definite-linear-transformations-by-deep-residual-networks-1802.06093</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-with-identity-initialization-efficiently-learns-positive-definite-linear-transformations-by-deep-residual-networks-1802.06093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-with-identity-initialization-efficiently-learns-positive-definite-linear-transformations-by-deep-residual-networks-1802.06093"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-limits-for-community-detection-in-network-models-1802.06104</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-limits-for-community-detection-in-network-models-1802.06104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-limits-for-community-detection-in-network-models-1802.06104"/></url>
<url><loc>https://scifaro.com/en/abs/the-mean-field-approximation-information-inequalities-algorithms-and-complexity-1802.06126</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-mean-field-approximation-information-inequalities-algorithms-and-complexity-1802.06126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-mean-field-approximation-information-inequalities-algorithms-and-complexity-1802.06126"/></url>
<url><loc>https://scifaro.com/en/abs/the-vertex-sample-complexity-of-free-energy-is-polynomial-1802.06129</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-vertex-sample-complexity-of-free-energy-is-polynomial-1802.06129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-vertex-sample-complexity-of-free-energy-is-polynomial-1802.06129"/></url>
<url><loc>https://scifaro.com/en/abs/a-likelihood-free-inference-framework-for-population-genetic-data-using-exchangeable-neural-networks-1802.06153</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-likelihood-free-inference-framework-for-population-genetic-data-using-exchangeable-neural-networks-1802.06153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-likelihood-free-inference-framework-for-population-genetic-data-using-exchangeable-neural-networks-1802.06153"/></url>
<url><loc>https://scifaro.com/en/abs/an-alternative-view-when-does-sgd-escape-local-minima-1802.06175</loc><lastmod>2018-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-alternative-view-when-does-sgd-escape-local-minima-1802.06175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-alternative-view-when-does-sgd-escape-local-minima-1802.06175"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-gan-based-anomaly-detection-1802.06222</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-gan-based-anomaly-detection-1802.06222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-gan-based-anomaly-detection-1802.06222"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-q-learning-agent-for-the-l-game-with-variable-batch-training-1802.06225</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-q-learning-agent-for-the-l-game-with-variable-batch-training-1802.06225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-q-learning-agent-for-the-l-game-with-variable-batch-training-1802.06225"/></url>
<url><loc>https://scifaro.com/en/abs/an-analysis-of-training-and-generalization-errors-in-shallow-and-deep-networks-1802.06266</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analysis-of-training-and-generalization-errors-in-shallow-and-deep-networks-1802.06266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analysis-of-training-and-generalization-errors-in-shallow-and-deep-networks-1802.06266"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-reductions-for-parameter-free-online-learning-in-banach-spaces-1802.06293</loc><lastmod>2018-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-reductions-for-parameter-free-online-learning-in-banach-spaces-1802.06293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-reductions-for-parameter-free-online-learning-in-banach-spaces-1802.06293"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-internet-of-things-data-analysis-a-survey-1802.06305</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-internet-of-things-data-analysis-a-survey-1802.06305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-internet-of-things-data-analysis-a-survey-1802.06305"/></url>
<url><loc>https://scifaro.com/en/abs/learning-adversarially-fair-and-transferable-representations-1802.06309</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-adversarially-fair-and-transferable-representations-1802.06309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-adversarially-fair-and-transferable-representations-1802.06309"/></url>
<url><loc>https://scifaro.com/en/abs/sequence-to-sequence-prediction-of-vehicle-trajectory-via-lstm-encoder-decoder-architecture-1802.06338</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequence-to-sequence-prediction-of-vehicle-trajectory-via-lstm-encoder-decoder-architecture-1802.06338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequence-to-sequence-prediction-of-vehicle-trajectory-via-lstm-encoder-decoder-architecture-1802.06338"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-chebyshev-gradient-descent-for-spectral-optimization-1802.06355</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-chebyshev-gradient-descent-for-spectral-optimization-1802.06355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-chebyshev-gradient-descent-for-spectral-optimization-1802.06355"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-online-mirror-descent-1802.06357</loc><lastmod>2019-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-online-mirror-descent-1802.06357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-online-mirror-descent-1802.06357"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-using-one-class-neural-networks-1802.06360</loc><lastmod>2019-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-using-one-class-neural-networks-1802.06360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-using-one-class-neural-networks-1802.06360"/></url>
<url><loc>https://scifaro.com/en/abs/node-centralities-and-classification-performance-for-characterizing-node-embedding-algorithms-1802.06368</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-centralities-and-classification-performance-for-characterizing-node-embedding-algorithms-1802.06368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-centralities-and-classification-performance-for-characterizing-node-embedding-algorithms-1802.06368"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-framework-for-multi-aspect-streaming-tensor-completion-with-side-information-1802.06371</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-framework-for-multi-aspect-streaming-tensor-completion-with-side-information-1802.06371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-framework-for-multi-aspect-streaming-tensor-completion-with-side-information-1802.06371"/></url>
<url><loc>https://scifaro.com/en/abs/space-efficient-feature-maps-for-string-alignment-kernels-1802.06382</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/space-efficient-feature-maps-for-string-alignment-kernels-1802.06382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/space-efficient-feature-maps-for-string-alignment-kernels-1802.06382"/></url>
<url><loc>https://scifaro.com/en/abs/training-big-random-forests-with-little-resources-1802.06394</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-big-random-forests-with-little-resources-1802.06394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-big-random-forests-with-little-resources-1802.06394"/></url>
<url><loc>https://scifaro.com/en/abs/hybridsvd-when-collaborative-information-is-not-enough-1802.06398</loc><lastmod>2019-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybridsvd-when-collaborative-information-is-not-enough-1802.06398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybridsvd-when-collaborative-information-is-not-enough-1802.06398"/></url>
<url><loc>https://scifaro.com/en/abs/towards-ultra-high-performance-and-energy-efficiency-of-deep-learning-systems-an-algorithm-hardware-co-optimization-framework-1802.06402</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-ultra-high-performance-and-energy-efficiency-of-deep-learning-systems-an-algorithm-hardware-co-optimization-framework-1802.06402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-ultra-high-performance-and-energy-efficiency-of-deep-learning-systems-an-algorithm-hardware-co-optimization-framework-1802.06402"/></url>
<url><loc>https://scifaro.com/en/abs/radialgan-leveraging-multiple-datasets-to-improve-target-specific-predictive-models-using-generative-adversarial-networks-1802.06403</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/radialgan-leveraging-multiple-datasets-to-improve-target-specific-predictive-models-using-generative-adversarial-networks-1802.06403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/radialgan-leveraging-multiple-datasets-to-improve-target-specific-predictive-models-using-generative-adversarial-networks-1802.06403"/></url>
<url><loc>https://scifaro.com/en/abs/improving-mild-cognitive-impairment-prediction-via-reinforcement-learning-and-dialogue-simulation-1802.06428</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-mild-cognitive-impairment-prediction-via-reinforcement-learning-and-dialogue-simulation-1802.06428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-mild-cognitive-impairment-prediction-via-reinforcement-learning-and-dialogue-simulation-1802.06428"/></url>
<url><loc>https://scifaro.com/en/abs/music-genre-classification-using-masked-conditional-neural-networks-1802.06432</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/music-genre-classification-using-masked-conditional-neural-networks-1802.06432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/music-genre-classification-using-masked-conditional-neural-networks-1802.06432"/></url>
<url><loc>https://scifaro.com/en/abs/local-optimality-and-generalization-guarantees-for-the-langevin-algorithm-via-empirical-metastability-1802.06439</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-optimality-and-generalization-guarantees-for-the-langevin-algorithm-via-empirical-metastability-1802.06439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-optimality-and-generalization-guarantees-for-the-langevin-algorithm-via-empirical-metastability-1802.06439"/></url>
<url><loc>https://scifaro.com/en/abs/online-convex-optimization-for-cumulative-constraints-1802.06472</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-convex-optimization-for-cumulative-constraints-1802.06472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-convex-optimization-for-cumulative-constraints-1802.06472"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-modeling-of-multiple-complications-for-risk-profiling-in-diabetes-care-1802.06476</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-modeling-of-multiple-complications-for-risk-profiling-in-diabetes-care-1802.06476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-modeling-of-multiple-complications-for-risk-profiling-in-diabetes-care-1802.06476"/></url>
<url><loc>https://scifaro.com/en/abs/ea-cg-an-approximate-second-order-method-for-training-fully-connected-neural-networks-1802.06502</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ea-cg-an-approximate-second-order-method-for-training-fully-connected-neural-networks-1802.06502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ea-cg-an-approximate-second-order-method-for-training-fully-connected-neural-networks-1802.06502"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-optimization-of-deep-networks-implicit-acceleration-by-overparameterization-1802.06509</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-optimization-of-deep-networks-implicit-acceleration-by-overparameterization-1802.06509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-optimization-of-deep-networks-implicit-acceleration-by-overparameterization-1802.06509"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-network-deep-multi-task-censored-regression-for-modeling-neurodegenerative-diseases-1802.06516</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-network-deep-multi-task-censored-regression-for-modeling-neurodegenerative-diseases-1802.06516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-network-deep-multi-task-censored-regression-for-modeling-neurodegenerative-diseases-1802.06516"/></url>
<url><loc>https://scifaro.com/en/abs/heron-inference-for-bayesian-graphical-models-1802.06526</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heron-inference-for-bayesian-graphical-models-1802.06526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heron-inference-for-bayesian-graphical-models-1802.06526"/></url>
<url><loc>https://scifaro.com/en/abs/are-generative-classifiers-more-robust-to-adversarial-attacks-1802.06552</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-generative-classifiers-more-robust-to-adversarial-attacks-1802.06552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-generative-classifiers-more-robust-to-adversarial-attacks-1802.06552"/></url>
<url><loc>https://scifaro.com/en/abs/finding-influential-training-samples-for-gradient-boosted-decision-trees-1802.06640</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-influential-training-samples-for-gradient-boosted-decision-trees-1802.06640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-influential-training-samples-for-gradient-boosted-decision-trees-1802.06640"/></url>
<url><loc>https://scifaro.com/en/abs/deep-echo-state-networks-for-diagnosis-of-parkinson-s-disease-1802.06708</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-echo-state-networks-for-diagnosis-of-parkinson-s-disease-1802.06708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-echo-state-networks-for-diagnosis-of-parkinson-s-disease-1802.06708"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-generative-adversarial-network-1802.06739</loc><lastmod>2018-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-generative-adversarial-network-1802.06739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-generative-adversarial-network-1802.06739"/></url>
<url><loc>https://scifaro.com/en/abs/leveraged-volume-sampling-for-linear-regression-1802.06749</loc><lastmod>2018-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraged-volume-sampling-for-linear-regression-1802.06749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraged-volume-sampling-for-linear-regression-1802.06749"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-vaes-for-nonlinear-group-factor-analysis-1802.06765</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-vaes-for-nonlinear-group-factor-analysis-1802.06765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-vaes-for-nonlinear-group-factor-analysis-1802.06765"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-optimal-hierarchical-classification-over-asymmetric-tree-distance-loss-1802.06771</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-optimal-hierarchical-classification-over-asymmetric-tree-distance-loss-1802.06771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-optimal-hierarchical-classification-over-asymmetric-tree-distance-loss-1802.06771"/></url>
<url><loc>https://scifaro.com/en/abs/multi-resolution-tensor-learning-for-large-scale-spatial-data-1802.06825</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-resolution-tensor-learning-for-large-scale-spatial-data-1802.06825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-resolution-tensor-learning-for-large-scale-spatial-data-1802.06825"/></url>
<url><loc>https://scifaro.com/en/abs/lsalsa-accelerated-source-separation-via-learned-sparse-coding-1802.06875</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lsalsa-accelerated-source-separation-via-learned-sparse-coding-1802.06875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lsalsa-accelerated-source-separation-via-learned-sparse-coding-1802.06875"/></url>
<url><loc>https://scifaro.com/en/abs/fourier-policy-gradients-1802.06891</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fourier-policy-gradients-1802.06891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fourier-policy-gradients-1802.06891"/></url>
<url><loc>https://scifaro.com/en/abs/deterministic-non-autoregressive-neural-sequence-modeling-by-iterative-refinement-1802.06901</loc><lastmod>2018-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deterministic-non-autoregressive-neural-sequence-modeling-by-iterative-refinement-1802.06901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deterministic-non-autoregressive-neural-sequence-modeling-by-iterative-refinement-1802.06901"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-an-unknown-fairness-metric-1802.06936</loc><lastmod>2018-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-an-unknown-fairness-metric-1802.06936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-an-unknown-fairness-metric-1802.06936"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-based-learning-from-weak-oracles-1802.06942</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-based-learning-from-weak-oracles-1802.06942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-based-learning-from-weak-oracles-1802.06942"/></url>
<url><loc>https://scifaro.com/en/abs/deepthin-a-self-compressing-library-for-deep-neural-networks-1802.06944</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepthin-a-self-compressing-library-for-deep-neural-networks-1802.06944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepthin-a-self-compressing-library-for-deep-neural-networks-1802.06944"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-ensembles-to-real-time-identification-of-plug-level-appliance-measurements-1802.06963</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-ensembles-to-real-time-identification-of-plug-level-appliance-measurements-1802.06963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-ensembles-to-real-time-identification-of-plug-level-appliance-measurements-1802.06963"/></url>
<url><loc>https://scifaro.com/en/abs/constant-regret-generalized-mixability-and-mirror-descent-1802.06965</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constant-regret-generalized-mixability-and-mirror-descent-1802.06965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constant-regret-generalized-mixability-and-mirror-descent-1802.06965"/></url>
<url><loc>https://scifaro.com/en/abs/fitting-new-speakers-based-on-a-short-untranscribed-sample-1802.06984</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitting-new-speakers-based-on-a-short-untranscribed-sample-1802.06984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitting-new-speakers-based-on-a-short-untranscribed-sample-1802.06984"/></url>
<url><loc>https://scifaro.com/en/abs/traffic-graph-convolutional-recurrent-neural-network-a-deep-learning-framework-for-network-scale-traffic-learning-and-forecasting-1802.07007</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/traffic-graph-convolutional-recurrent-neural-network-a-deep-learning-framework-for-network-scale-traffic-learning-and-forecasting-1802.07007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/traffic-graph-convolutional-recurrent-neural-network-a-deep-learning-framework-for-network-scale-traffic-learning-and-forecasting-1802.07007"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-via-additive-models-with-overlapping-groups-1802.07028</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-via-additive-models-with-overlapping-groups-1802.07028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-via-additive-models-with-overlapping-groups-1802.07028"/></url>
<url><loc>https://scifaro.com/en/abs/the-description-length-of-deep-learning-models-1802.07044</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-description-length-of-deep-learning-models-1802.07044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-description-length-of-deep-learning-models-1802.07044"/></url>
<url><loc>https://scifaro.com/en/abs/i-revnet-deep-invertible-networks-1802.07088</loc><lastmod>2018-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/i-revnet-deep-invertible-networks-1802.07088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/i-revnet-deep-invertible-networks-1802.07088"/></url>
<url><loc>https://scifaro.com/en/abs/do-less-get-more-streaming-submodular-maximization-with-subsampling-1802.07098</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-less-get-more-streaming-submodular-maximization-with-subsampling-1802.07098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-less-get-more-streaming-submodular-maximization-with-subsampling-1802.07098"/></url>
<url><loc>https://scifaro.com/en/abs/learning-of-optimal-forecast-aggregation-in-partial-evidence-environments-1802.07107</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-of-optimal-forecast-aggregation-in-partial-evidence-environments-1802.07107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-of-optimal-forecast-aggregation-in-partial-evidence-environments-1802.07107"/></url>
<url><loc>https://scifaro.com/en/abs/out-distribution-training-confers-robustness-to-deep-neural-networks-1802.07124</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-distribution-training-confers-robustness-to-deep-neural-networks-1802.07124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-distribution-training-confers-robustness-to-deep-neural-networks-1802.07124"/></url>
<url><loc>https://scifaro.com/en/abs/local-differential-privacy-for-evolving-data-1802.07128</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-differential-privacy-for-evolving-data-1802.07128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-differential-privacy-for-evolving-data-1802.07128"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-sampling-for-coarse-ranking-1802.07176</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-sampling-for-coarse-ranking-1802.07176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-sampling-for-coarse-ranking-1802.07176"/></url>
<url><loc>https://scifaro.com/en/abs/neural-architecture-search-with-bayesian-optimisation-and-optimal-transport-1802.07191</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-architecture-search-with-bayesian-optimisation-and-optimal-transport-1802.07191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-architecture-search-with-bayesian-optimisation-and-optimal-transport-1802.07191"/></url>
<url><loc>https://scifaro.com/en/abs/autoprognosis-automated-clinical-prognostic-modeling-via-bayesian-optimization-with-structured-kernel-learning-1802.07207</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoprognosis-automated-clinical-prognostic-modeling-via-bayesian-optimization-with-structured-kernel-learning-1802.07207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoprognosis-automated-clinical-prognostic-modeling-via-bayesian-optimization-with-structured-kernel-learning-1802.07207"/></url>
<url><loc>https://scifaro.com/en/abs/actively-avoiding-nonsense-in-generative-models-1802.07229</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/actively-avoiding-nonsense-in-generative-models-1802.07229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/actively-avoiding-nonsense-in-generative-models-1802.07229"/></url>
<url><loc>https://scifaro.com/en/abs/meta-reinforcement-learning-of-structured-exploration-strategies-1802.07245</loc><lastmod>2018-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-reinforcement-learning-of-structured-exploration-strategies-1802.07245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-reinforcement-learning-of-structured-exploration-strategies-1802.07245"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-connection-between-learning-two-layers-neural-networks-and-tensor-decomposition-1802.07301</loc><lastmod>2018-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-connection-between-learning-two-layers-neural-networks-and-tensor-decomposition-1802.07301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-connection-between-learning-two-layers-neural-networks-and-tensor-decomposition-1802.07301"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-label-propagation-for-multi-relational-learning-on-the-tensor-product-of-graphs-1802.07379</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-label-propagation-for-multi-relational-learning-on-the-tensor-product-of-graphs-1802.07379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-label-propagation-for-multi-relational-learning-on-the-tensor-product-of-graphs-1802.07379"/></url>
<url><loc>https://scifaro.com/en/abs/generic-coreset-for-scalable-learning-of-monotonic-kernels-logistic-regression-sigmoid-and-more-1802.07382</loc><lastmod>2021-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generic-coreset-for-scalable-learning-of-monotonic-kernels-logistic-regression-sigmoid-and-more-1802.07382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generic-coreset-for-scalable-learning-of-monotonic-kernels-logistic-regression-sigmoid-and-more-1802.07382"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-neural-network-judgments-via-minimal-stable-and-symbolic-corrections-1802.07384</loc><lastmod>2018-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-neural-network-judgments-via-minimal-stable-and-symbolic-corrections-1802.07384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-neural-network-judgments-via-minimal-stable-and-symbolic-corrections-1802.07384"/></url>
<url><loc>https://scifaro.com/en/abs/3lc-lightweight-and-effective-traffic-compression-for-distributed-machine-learning-1802.07389</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/3lc-lightweight-and-effective-traffic-compression-for-distributed-machine-learning-1802.07389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/3lc-lightweight-and-effective-traffic-compression-for-distributed-machine-learning-1802.07389"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-into-the-similarity-in-generator-and-discriminator-in-gan-architecture-1802.07401</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-into-the-similarity-in-generator-and-discriminator-in-gan-architecture-1802.07401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-into-the-similarity-in-generator-and-discriminator-in-gan-architecture-1802.07401"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-the-gridlock-in-mixture-of-experts-consistent-and-efficient-algorithms-1802.07417</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-the-gridlock-in-mixture-of-experts-consistent-and-efficient-algorithms-1802.07417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-the-gridlock-in-mixture-of-experts-consistent-and-efficient-algorithms-1802.07417"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-with-partial-feedback-1802.07427</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-with-partial-feedback-1802.07427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-with-partial-feedback-1802.07427"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-play-with-intrinsically-motivated-self-aware-agents-1802.07442</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-play-with-intrinsically-motivated-self-aware-agents-1802.07442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-play-with-intrinsically-motivated-self-aware-agents-1802.07442"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-split-merge-mcmc-with-locality-sensitive-sampling-lss-1802.07444</loc><lastmod>2018-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-split-merge-mcmc-with-locality-sensitive-sampling-lss-1802.07444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-split-merge-mcmc-with-locality-sensitive-sampling-lss-1802.07444"/></url>
<url><loc>https://scifaro.com/en/abs/emergence-of-structured-behaviors-from-curiosity-based-intrinsic-motivation-1802.07461</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emergence-of-structured-behaviors-from-curiosity-based-intrinsic-motivation-1802.07461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emergence-of-structured-behaviors-from-curiosity-based-intrinsic-motivation-1802.07461"/></url>
<url><loc>https://scifaro.com/en/abs/spectrally-approximating-large-graphs-with-smaller-graphs-1802.07510</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectrally-approximating-large-graphs-with-smaller-graphs-1802.07510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectrally-approximating-large-graphs-with-smaller-graphs-1802.07510"/></url>
<url><loc>https://scifaro.com/en/abs/clipped-action-policy-gradient-1802.07564</loc><lastmod>2018-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clipped-action-policy-gradient-1802.07564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clipped-action-policy-gradient-1802.07564"/></url>
<url><loc>https://scifaro.com/en/abs/continual-lifelong-learning-with-neural-networks-a-review-1802.07569</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-lifelong-learning-with-neural-networks-a-review-1802.07569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-lifelong-learning-with-neural-networks-a-review-1802.07569"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-co-training-1802.07572</loc><lastmod>2018-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-co-training-1802.07572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-co-training-1802.07572"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-loss-functions-for-deep-top-k-classification-1802.07595</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-loss-functions-for-deep-top-k-classification-1802.07595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-loss-functions-for-deep-top-k-classification-1802.07595"/></url>
<url><loc>https://scifaro.com/en/abs/ordered-preference-elicitation-strategies-for-supporting-multi-objective-decision-making-1802.07606</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ordered-preference-elicitation-strategies-for-supporting-multi-objective-decision-making-1802.07606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ordered-preference-elicitation-strategies-for-supporting-multi-objective-decision-making-1802.07606"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-algorithms-for-cascading-prediction-models-1802.07697</loc><lastmod>2018-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-algorithms-for-cascading-prediction-models-1802.07697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-algorithms-for-cascading-prediction-models-1802.07697"/></url>
<url><loc>https://scifaro.com/en/abs/protecting-sensory-data-against-sensitive-inferences-1802.07802</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/protecting-sensory-data-against-sensitive-inferences-1802.07802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/protecting-sensory-data-against-sensitive-inferences-1802.07802"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-explain-an-information-theoretic-perspective-on-model-interpretation-1802.07814</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-explain-an-information-theoretic-perspective-on-model-interpretation-1802.07814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-explain-an-information-theoretic-perspective-on-model-interpretation-1802.07814"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-policy-gradient-1802.07833</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-policy-gradient-1802.07833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-policy-gradient-1802.07833"/></url>
<url><loc>https://scifaro.com/en/abs/federated-meta-learning-with-fast-convergence-and-efficient-communication-1802.07876</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-meta-learning-with-fast-convergence-and-efficient-communication-1802.07876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-meta-learning-with-fast-convergence-and-efficient-communication-1802.07876"/></url>
<url><loc>https://scifaro.com/en/abs/pooling-homogeneous-ensembles-to-build-heterogeneous-ones-1802.07877</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pooling-homogeneous-ensembles-to-build-heterogeneous-ones-1802.07877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pooling-homogeneous-ensembles-to-build-heterogeneous-ones-1802.07877"/></url>
<url><loc>https://scifaro.com/en/abs/diversity-regularization-in-deep-ensembles-1802.07881</loc><lastmod>2018-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversity-regularization-in-deep-ensembles-1802.07881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversity-regularization-in-deep-ensembles-1802.07881"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-online-learning-with-adaptive-nystr-o-m-approximation-1802.07887</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-online-learning-with-adaptive-nystr-o-m-approximation-1802.07887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-online-learning-with-adaptive-nystr-o-m-approximation-1802.07887"/></url>
<url><loc>https://scifaro.com/en/abs/entropy-rate-estimation-for-markov-chains-with-large-state-space-1802.07889</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropy-rate-estimation-for-markov-chains-with-large-state-space-1802.07889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropy-rate-estimation-for-markov-chains-with-large-state-space-1802.07889"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixtures-of-linear-regressions-with-nearly-optimal-complexity-1802.07895</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixtures-of-linear-regressions-with-nearly-optimal-complexity-1802.07895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixtures-of-linear-regressions-with-nearly-optimal-complexity-1802.07895"/></url>
<url><loc>https://scifaro.com/en/abs/regional-multi-armed-bandits-1802.07917</loc><lastmod>2018-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regional-multi-armed-bandits-1802.07917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regional-multi-armed-bandits-1802.07917"/></url>
<url><loc>https://scifaro.com/en/abs/actigraphy-based-sleep-wake-pattern-detection-using-convolutional-neural-networks-1802.07945</loc><lastmod>2018-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/actigraphy-based-sleep-wake-pattern-detection-using-convolutional-neural-networks-1802.07945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/actigraphy-based-sleep-wake-pattern-detection-using-convolutional-neural-networks-1802.07945"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-of-classifiers-to-uniform-ell-p-and-gaussian-noise-1802.07971</loc><lastmod>2018-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-of-classifiers-to-uniform-ell-p-and-gaussian-noise-1802.07971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-of-classifiers-to-uniform-ell-p-and-gaussian-noise-1802.07971"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-route-with-sparse-trajectory-sets-extended-version-1802.07980</loc><lastmod>2018-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-route-with-sparse-trajectory-sets-extended-version-1802.07980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-route-with-sparse-trajectory-sets-extended-version-1802.07980"/></url>
<url><loc>https://scifaro.com/en/abs/iterate-averaging-as-regularization-for-stochastic-gradient-descent-1802.08009</loc><lastmod>2018-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterate-averaging-as-regularization-for-stochastic-gradient-descent-1802.08009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterate-averaging-as-regularization-for-stochastic-gradient-descent-1802.08009"/></url>
<url><loc>https://scifaro.com/en/abs/vbald-variational-bayesian-approximation-of-log-determinants-1802.08054</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vbald-variational-bayesian-approximation-of-log-determinants-1802.08054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vbald-variational-bayesian-approximation-of-log-determinants-1802.08054"/></url>
<url><loc>https://scifaro.com/en/abs/collaboratively-learning-the-best-option-using-bounded-memory-1802.08159</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaboratively-learning-the-best-option-using-bounded-memory-1802.08159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaboratively-learning-the-best-option-using-bounded-memory-1802.08159"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-that-fool-both-computer-vision-and-time-limited-humans-1802.08195</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-that-fool-both-computer-vision-and-time-limited-humans-1802.08195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-that-fool-both-computer-vision-and-time-limited-humans-1802.08195"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-field-networks-rotation-and-translation-equivariant-neural-networks-for-3d-point-clouds-1802.08219</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-field-networks-rotation-and-translation-equivariant-neural-networks-for-3d-point-clouds-1802.08219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-field-networks-rotation-and-translation-equivariant-neural-networks-for-3d-point-clouds-1802.08219"/></url>
<url><loc>https://scifaro.com/en/abs/the-secret-sharer-evaluating-and-testing-unintended-memorization-in-neural-networks-1802.08232</loc><lastmod>2019-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-secret-sharer-evaluating-and-testing-unintended-memorization-in-neural-networks-1802.08232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-secret-sharer-evaluating-and-testing-unintended-memorization-in-neural-networks-1802.08232"/></url>
<url><loc>https://scifaro.com/en/abs/vector-field-based-neural-networks-1802.08235</loc><lastmod>2018-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vector-field-based-neural-networks-1802.08235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vector-field-based-neural-networks-1802.08235"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-and-robustness-of-training-gans-with-regularized-optimal-transport-1802.08249</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-and-robustness-of-training-gans-with-regularized-optimal-transport-1802.08249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-and-robustness-of-training-gans-with-regularized-optimal-transport-1802.08249"/></url>
<url><loc>https://scifaro.com/en/abs/sena-cnn-overcoming-catastrophic-forgetting-in-convolutional-neural-networks-by-selective-network-augmentation-1802.08250</loc><lastmod>2018-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sena-cnn-overcoming-catastrophic-forgetting-in-convolutional-neural-networks-by-selective-network-augmentation-1802.08250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sena-cnn-overcoming-catastrophic-forgetting-in-convolutional-neural-networks-by-selective-network-augmentation-1802.08250"/></url>
<url><loc>https://scifaro.com/en/abs/unicorn-continual-learning-with-a-universal-off-policy-agent-1802.08294</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unicorn-continual-learning-with-a-universal-off-policy-agent-1802.08294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unicorn-continual-learning-with-a-universal-off-policy-agent-1802.08294"/></url>
<url><loc>https://scifaro.com/en/abs/structured-control-nets-for-deep-reinforcement-learning-1802.08311</loc><lastmod>2020-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-control-nets-for-deep-reinforcement-learning-1802.08311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-control-nets-for-deep-reinforcement-learning-1802.08311"/></url>
<url><loc>https://scifaro.com/en/abs/diverse-exploration-for-fast-and-safe-policy-improvement-1802.08331</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diverse-exploration-for-fast-and-safe-policy-improvement-1802.08331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diverse-exploration-for-fast-and-safe-policy-improvement-1802.08331"/></url>
<url><loc>https://scifaro.com/en/abs/learning-without-mixing-towards-a-sharp-analysis-of-linear-system-identification-1802.08334</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-without-mixing-towards-a-sharp-analysis-of-linear-system-identification-1802.08334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-without-mixing-towards-a-sharp-analysis-of-linear-system-identification-1802.08334"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-make-predictions-on-graphs-with-autoencoders-1802.08352</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-make-predictions-on-graphs-with-autoencoders-1802.08352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-make-predictions-on-graphs-with-autoencoders-1802.08352"/></url>
<url><loc>https://scifaro.com/en/abs/aeknn-an-autoencoder-knn-based-classifier-with-built-in-dimensionality-reduction-1802.08465</loc><lastmod>2018-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aeknn-an-autoencoder-knn-based-classifier-with-built-in-dimensionality-reduction-1802.08465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aeknn-an-autoencoder-knn-based-classifier-with-built-in-dimensionality-reduction-1802.08465"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-sample-near-optimal-algorithms-for-learning-multidimensional-histograms-1802.08513</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-sample-near-optimal-algorithms-for-learning-multidimensional-histograms-1802.08513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-sample-near-optimal-algorithms-for-learning-multidimensional-histograms-1802.08513"/></url>
<url><loc>https://scifaro.com/en/abs/training-wide-residual-networks-for-deployment-using-a-single-bit-for-each-weight-1802.08530</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-wide-residual-networks-for-deployment-using-a-single-bit-for-each-weight-1802.08530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-wide-residual-networks-for-deployment-using-a-single-bit-for-each-weight-1802.08530"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-gaussian-processes-for-forecasting-of-alzheimer-s-disease-assessment-scale-cognition-sub-scale-adas-cog13-1802.08561</loc><lastmod>2018-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-gaussian-processes-for-forecasting-of-alzheimer-s-disease-assessment-scale-cognition-sub-scale-adas-cog13-1802.08561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-gaussian-processes-for-forecasting-of-alzheimer-s-disease-assessment-scale-cognition-sub-scale-adas-cog13-1802.08561"/></url>
<url><loc>https://scifaro.com/en/abs/loss-aware-weight-quantization-of-deep-networks-1802.08635</loc><lastmod>2018-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-aware-weight-quantization-of-deep-networks-1802.08635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-aware-weight-quantization-of-deep-networks-1802.08635"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithmic-framework-to-control-bias-in-bandit-based-personalization-1802.08674</loc><lastmod>2018-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithmic-framework-to-control-bias-in-bandit-based-personalization-1802.08674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithmic-framework-to-control-bias-in-bandit-based-personalization-1802.08674"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-vulnerability-for-any-classifier-1802.08686</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-vulnerability-for-any-classifier-1802.08686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-vulnerability-for-any-classifier-1802.08686"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multi-view-spatial-temporal-network-for-taxi-demand-prediction-1802.08714</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multi-view-spatial-temporal-network-for-taxi-demand-prediction-1802.08714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multi-view-spatial-temporal-network-for-taxi-demand-prediction-1802.08714"/></url>
<url><loc>https://scifaro.com/en/abs/fully-decentralized-multi-agent-reinforcement-learning-with-networked-agents-1802.08757</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-decentralized-multi-agent-reinforcement-learning-with-networked-agents-1802.08757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-decentralized-multi-agent-reinforcement-learning-with-networked-agents-1802.08757"/></url>
<url><loc>https://scifaro.com/en/abs/model-trees-for-identifying-exceptional-players-in-the-nhl-draft-1802.08765</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-trees-for-identifying-exceptional-players-in-the-nhl-draft-1802.08765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-trees-for-identifying-exceptional-players-in-the-nhl-draft-1802.08765"/></url>
<url><loc>https://scifaro.com/en/abs/graphrnn-generating-realistic-graphs-with-deep-auto-regressive-models-1802.08773</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphrnn-generating-realistic-graphs-with-deep-auto-regressive-models-1802.08773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphrnn-generating-realistic-graphs-with-deep-auto-regressive-models-1802.08773"/></url>
<url><loc>https://scifaro.com/en/abs/extremely-fast-decision-tree-1802.08780</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extremely-fast-decision-tree-1802.08780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extremely-fast-decision-tree-1802.08780"/></url>
<url><loc>https://scifaro.com/en/abs/syntax-directed-variational-autoencoder-for-structured-data-1802.08786</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/syntax-directed-variational-autoencoder-for-structured-data-1802.08786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/syntax-directed-variational-autoencoder-for-structured-data-1802.08786"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-conifer-deciduous-classification-of-airborne-lidar-3d-point-clouds-representing-individual-trees-1802.08872</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-conifer-deciduous-classification-of-airborne-lidar-3d-point-clouds-representing-individual-trees-1802.08872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-conifer-deciduous-classification-of-airborne-lidar-3d-point-clouds-representing-individual-trees-1802.08872"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-stochastic-proximal-methods-for-nonconvex-nonsmooth-optimization-1802.08880</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-stochastic-proximal-methods-for-nonconvex-nonsmooth-optimization-1802.08880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-stochastic-proximal-methods-for-nonconvex-nonsmooth-optimization-1802.08880"/></url>
<url><loc>https://scifaro.com/en/abs/a-block-wise-asynchronous-and-distributed-admm-algorithm-for-general-form-consensus-optimization-1802.08882</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-block-wise-asynchronous-and-distributed-admm-algorithm-for-general-form-consensus-optimization-1802.08882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-block-wise-asynchronous-and-distributed-admm-algorithm-for-general-form-consensus-optimization-1802.08882"/></url>
<url><loc>https://scifaro.com/en/abs/water-from-two-rocks-maximizing-the-mutual-information-1802.08887</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/water-from-two-rocks-maximizing-the-mutual-information-1802.08887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/water-from-two-rocks-maximizing-the-mutual-information-1802.08887"/></url>
<url><loc>https://scifaro.com/en/abs/n-gcn-multi-scale-graph-convolution-for-semi-supervised-node-classification-1802.08888</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/n-gcn-multi-scale-graph-convolution-for-semi-supervised-node-classification-1802.08888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/n-gcn-multi-scale-graph-convolution-for-semi-supervised-node-classification-1802.08888"/></url>
<url><loc>https://scifaro.com/en/abs/product-kernel-interpolation-for-scalable-gaussian-processes-1802.08903</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/product-kernel-interpolation-for-scalable-gaussian-processes-1802.08903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/product-kernel-interpolation-for-scalable-gaussian-processes-1802.08903"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-learning-using-monotonic-logical-properties-1802.08924</loc><lastmod>2018-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-learning-using-monotonic-logical-properties-1802.08924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-learning-using-monotonic-logical-properties-1802.08924"/></url>
<url><loc>https://scifaro.com/en/abs/did-distributed-incremental-block-coordinate-descent-for-nonnegative-matrix-factorization-1802.08938</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/did-distributed-incremental-block-coordinate-descent-for-nonnegative-matrix-factorization-1802.08938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/did-distributed-incremental-block-coordinate-descent-for-nonnegative-matrix-factorization-1802.08938"/></url>
<url><loc>https://scifaro.com/en/abs/wide-compression-tensor-ring-nets-1802.09052</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wide-compression-tensor-ring-nets-1802.09052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wide-compression-tensor-ring-nets-1802.09052"/></url>
<url><loc>https://scifaro.com/en/abs/one-single-deep-bidirectional-lstm-network-for-word-sense-disambiguation-of-text-data-1802.09059</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-single-deep-bidirectional-lstm-network-for-word-sense-disambiguation-of-text-data-1802.09059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-single-deep-bidirectional-lstm-network-for-word-sense-disambiguation-of-text-data-1802.09059"/></url>
<url><loc>https://scifaro.com/en/abs/model-agnostic-time-series-analysis-via-matrix-estimation-1802.09064</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-agnostic-time-series-analysis-via-matrix-estimation-1802.09064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-agnostic-time-series-analysis-via-matrix-estimation-1802.09064"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-with-logged-data-1802.09069</loc><lastmod>2018-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-with-logged-data-1802.09069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-with-logged-data-1802.09069"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-difference-models-model-free-deep-rl-for-model-based-control-1802.09081</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-difference-models-model-free-deep-rl-for-model-based-control-1802.09081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-difference-models-model-free-deep-rl-for-model-based-control-1802.09081"/></url>
<url><loc>https://scifaro.com/en/abs/gpu-accelerated-sub-sampled-newton-s-method-1802.09113</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gpu-accelerated-sub-sampled-newton-s-method-1802.09113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gpu-accelerated-sub-sampled-newton-s-method-1802.09113"/></url>
<url><loc>https://scifaro.com/en/abs/averaging-stochastic-gradient-descent-on-riemannian-manifolds-1802.09128</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/averaging-stochastic-gradient-descent-on-riemannian-manifolds-1802.09128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/averaging-stochastic-gradient-descent-on-riemannian-manifolds-1802.09128"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-complex-regression-models-1802.09225</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-complex-regression-models-1802.09225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-complex-regression-models-1802.09225"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-free-information-concentration-via-exp-concavity-1802.09301</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-free-information-concentration-via-exp-concavity-1802.09301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-free-information-concentration-via-exp-concavity-1802.09301"/></url>
<url><loc>https://scifaro.com/en/abs/max-mahalanobis-linear-discriminant-analysis-networks-1802.09308</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-mahalanobis-linear-discriminant-analysis-networks-1802.09308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-mahalanobis-linear-discriminant-analysis-networks-1802.09308"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-hyperparameter-optimization-through-hypernetworks-1802.09419</loc><lastmod>2018-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-hyperparameter-optimization-through-hypernetworks-1802.09419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-hyperparameter-optimization-through-hypernetworks-1802.09419"/></url>
<url><loc>https://scifaro.com/en/abs/multi-goal-reinforcement-learning-challenging-robotics-environments-and-request-for-research-1802.09464</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-goal-reinforcement-learning-challenging-robotics-environments-and-request-for-research-1802.09464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-goal-reinforcement-learning-challenging-robotics-environments-and-request-for-research-1802.09464"/></url>
<url><loc>https://scifaro.com/en/abs/retrieval-augmented-convolutional-neural-networks-for-improved-robustness-against-adversarial-examples-1802.09502</loc><lastmod>2018-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/retrieval-augmented-convolutional-neural-networks-for-improved-robustness-against-adversarial-examples-1802.09502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/retrieval-augmented-convolutional-neural-networks-for-improved-robustness-against-adversarial-examples-1802.09502"/></url>
<url><loc>https://scifaro.com/en/abs/shampoo-preconditioned-stochastic-tensor-optimization-1802.09568</loc><lastmod>2018-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shampoo-preconditioned-stochastic-tensor-optimization-1802.09568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shampoo-preconditioned-stochastic-tensor-optimization-1802.09568"/></url>
<url><loc>https://scifaro.com/en/abs/data-dependent-pac-bayes-priors-via-differential-privacy-1802.09583</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-dependent-pac-bayes-priors-via-differential-privacy-1802.09583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-dependent-pac-bayes-priors-via-differential-privacy-1802.09583"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-over-a-restricted-policy-class-in-markov-decision-processes-1802.09646</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-over-a-restricted-policy-class-in-markov-decision-processes-1802.09646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-over-a-restricted-policy-class-in-markov-decision-processes-1802.09646"/></url>
<url><loc>https://scifaro.com/en/abs/computational-red-teaming-in-a-sudoku-solving-context-neural-network-based-skill-representation-and-acquisition-1802.09660</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-red-teaming-in-a-sudoku-solving-context-neural-network-based-skill-representation-and-acquisition-1802.09660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-red-teaming-in-a-sudoku-solving-context-neural-network-based-skill-representation-and-acquisition-1802.09660"/></url>
<url><loc>https://scifaro.com/en/abs/multi-observation-regression-1802.09680</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-observation-regression-1802.09680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-observation-regression-1802.09680"/></url>
<url><loc>https://scifaro.com/en/abs/link-prediction-based-on-graph-neural-networks-1802.09691</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/link-prediction-based-on-graph-neural-networks-1802.09691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/link-prediction-based-on-graph-neural-networks-1802.09691"/></url>
<url><loc>https://scifaro.com/en/abs/robust-gans-against-dishonest-adversaries-1802.09700</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-gans-against-dishonest-adversaries-1802.09700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-gans-against-dishonest-adversaries-1802.09700"/></url>
<url><loc>https://scifaro.com/en/abs/robust-actor-critic-contextual-bandit-for-mobile-health-mhealth-interventions-1802.09714</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-actor-critic-contextual-bandit-for-mobile-health-mhealth-interventions-1802.09714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-actor-critic-contextual-bandit-for-mobile-health-mhealth-interventions-1802.09714"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-for-neural-network-based-classification-using-the-information-bottleneck-principle-1802.09766</loc><lastmod>2020-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-for-neural-network-based-classification-using-the-information-bottleneck-principle-1802.09766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-for-neural-network-based-classification-using-the-information-bottleneck-principle-1802.09766"/></url>
<url><loc>https://scifaro.com/en/abs/l1-norm-batch-normalization-for-efficient-training-of-deep-neural-networks-1802.09769</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l1-norm-batch-normalization-for-efficient-training-of-deep-neural-networks-1802.09769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l1-norm-batch-normalization-for-efficient-training-of-deep-neural-networks-1802.09769"/></url>
<url><loc>https://scifaro.com/en/abs/time-sensitive-customer-churn-prediction-based-on-pu-learning-1802.09788</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-sensitive-customer-churn-prediction-based-on-pu-learning-1802.09788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-sensitive-customer-churn-prediction-based-on-pu-learning-1802.09788"/></url>
<url><loc>https://scifaro.com/en/abs/bioinformatics-and-medicine-in-the-era-of-deep-learning-1802.09791</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bioinformatics-and-medicine-in-the-era-of-deep-learning-1802.09791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bioinformatics-and-medicine-in-the-era-of-deep-learning-1802.09791"/></url>
<url><loc>https://scifaro.com/en/abs/matching-convolutional-neural-networks-without-priors-about-data-1802.09802</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matching-convolutional-neural-networks-without-priors-about-data-1802.09802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matching-convolutional-neural-networks-without-priors-about-data-1802.09802"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-active-learning-for-deep-networks-a-margin-based-approach-1802.09841</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-active-learning-for-deep-networks-a-margin-based-approach-1802.09841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-active-learning-for-deep-networks-a-margin-based-approach-1802.09841"/></url>
<url><loc>https://scifaro.com/en/abs/query-free-attacks-on-industry-grade-face-recognition-systems-under-resource-constraints-1802.09900</loc><lastmod>2018-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/query-free-attacks-on-industry-grade-face-recognition-systems-under-resource-constraints-1802.09900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/query-free-attacks-on-industry-grade-face-recognition-systems-under-resource-constraints-1802.09900"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-recognize-touch-gestures-recurrent-vs-convolutional-features-and-dynamic-sampling-1802.09901</loc><lastmod>2018-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-recognize-touch-gestures-recurrent-vs-convolutional-features-and-dynamic-sampling-1802.09901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-recognize-touch-gestures-recurrent-vs-convolutional-features-and-dynamic-sampling-1802.09901"/></url>
<url><loc>https://scifaro.com/en/abs/attention-based-guided-structured-sparsity-of-deep-neural-networks-1802.09902</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-based-guided-structured-sparsity-of-deep-neural-networks-1802.09902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-based-guided-structured-sparsity-of-deep-neural-networks-1802.09902"/></url>
<url><loc>https://scifaro.com/en/abs/extraction-of-v2v-encountering-scenarios-from-naturalistic-driving-database-1802.09917</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extraction-of-v2v-encountering-scenarios-from-naturalistic-driving-database-1802.09917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extraction-of-v2v-encountering-scenarios-from-naturalistic-driving-database-1802.09917"/></url>
<url><loc>https://scifaro.com/en/abs/vr-sgd-a-simple-stochastic-variance-reduction-method-for-machine-learning-1802.09932</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vr-sgd-a-simple-stochastic-variance-reduction-method-for-machine-learning-1802.09932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vr-sgd-a-simple-stochastic-variance-reduction-method-for-machine-learning-1802.09932"/></url>
<url><loc>https://scifaro.com/en/abs/demystifying-parallel-and-distributed-deep-learning-an-in-depth-concurrency-analysis-1802.09941</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-parallel-and-distributed-deep-learning-an-in-depth-concurrency-analysis-1802.09941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-parallel-and-distributed-deep-learning-an-in-depth-concurrency-analysis-1802.09941"/></url>
<url><loc>https://scifaro.com/en/abs/the-mirage-of-action-dependent-baselines-in-reinforcement-learning-1802.10031</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-mirage-of-action-dependent-baselines-in-reinforcement-learning-1802.10031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-mirage-of-action-dependent-baselines-in-reinforcement-learning-1802.10031"/></url>
<url><loc>https://scifaro.com/en/abs/a-differential-privacy-mechanism-design-under-matrix-valued-query-1802.10077</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-differential-privacy-mechanism-design-under-matrix-valued-query-1802.10077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-differential-privacy-mechanism-design-under-matrix-valued-query-1802.10077"/></url>
<url><loc>https://scifaro.com/en/abs/latent-space-physics-towards-learning-the-temporal-evolution-of-fluid-flow-1802.10123</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-space-physics-towards-learning-the-temporal-evolution-of-fluid-flow-1802.10123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-space-physics-towards-learning-the-temporal-evolution-of-fluid-flow-1802.10123"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-cyclegan-learning-many-to-many-mappings-from-unpaired-data-1802.10151</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-cyclegan-learning-many-to-many-mappings-from-unpaired-data-1802.10151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-cyclegan-learning-many-to-many-mappings-from-unpaired-data-1802.10151"/></url>
<url><loc>https://scifaro.com/en/abs/admm-based-networked-stochastic-variational-inference-1802.10168</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/admm-based-networked-stochastic-variational-inference-1802.10168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/admm-based-networked-stochastic-variational-inference-1802.10168"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-enabled-by-multiscale-deep-neural-network-inversion-1802.10172</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-enabled-by-multiscale-deep-neural-network-inversion-1802.10172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-enabled-by-multiscale-deep-neural-network-inversion-1802.10172"/></url>
<url><loc>https://scifaro.com/en/abs/mirrored-langevin-dynamics-1802.10174</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mirrored-langevin-dynamics-1802.10174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mirrored-langevin-dynamics-1802.10174"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-naturalistic-driving-encounters-using-deep-unsupervised-learning-1802.10214</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-naturalistic-driving-encounters-using-deep-unsupervised-learning-1802.10214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-naturalistic-driving-encounters-using-deep-unsupervised-learning-1802.10214"/></url>
<url><loc>https://scifaro.com/en/abs/parametrized-accelerated-methods-free-of-condition-number-1802.10235</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametrized-accelerated-methods-free-of-condition-number-1802.10235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametrized-accelerated-methods-free-of-condition-number-1802.10235"/></url>
<url><loc>https://scifaro.com/en/abs/deepsofa-a-continuous-acuity-score-for-critically-ill-patients-using-clinically-interpretable-deep-learning-1802.10238</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepsofa-a-continuous-acuity-score-for-critically-ill-patients-using-clinically-interpretable-deep-learning-1802.10238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepsofa-a-continuous-acuity-score-for-critically-ill-patients-using-clinically-interpretable-deep-learning-1802.10238"/></url>
<url><loc>https://scifaro.com/en/abs/solving-for-high-dimensional-committor-functions-using-artificial-neural-networks-1802.10275</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-for-high-dimensional-committor-functions-using-artificial-neural-networks-1802.10275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-for-high-dimensional-committor-functions-using-artificial-neural-networks-1802.10275"/></url>
<url><loc>https://scifaro.com/en/abs/relational-neural-expectation-maximization-unsupervised-discovery-of-objects-and-their-interactions-1802.10353</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-neural-expectation-maximization-unsupervised-discovery-of-objects-and-their-interactions-1802.10353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-neural-expectation-maximization-unsupervised-discovery-of-objects-and-their-interactions-1802.10353"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-decomposition-for-compressing-recurrent-neural-network-1802.10410</loc><lastmod>2018-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-decomposition-for-compressing-recurrent-neural-network-1802.10410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-decomposition-for-compressing-recurrent-neural-network-1802.10410"/></url>
<url><loc>https://scifaro.com/en/abs/precision-medicine-as-a-control-problem-using-simulation-and-deep-reinforcement-learning-to-discover-adaptive-personalized-multi-cytokine-therapy-for-sepsis-1802.10440</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/precision-medicine-as-a-control-problem-using-simulation-and-deep-reinforcement-learning-to-discover-adaptive-personalized-multi-cytokine-therapy-for-sepsis-1802.10440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/precision-medicine-as-a-control-problem-using-simulation-and-deep-reinforcement-learning-to-discover-adaptive-personalized-multi-cytokine-therapy-for-sepsis-1802.10440"/></url>
<url><loc>https://scifaro.com/en/abs/a-high-gops-slice-time-series-classifier-for-portable-and-embedded-biomedical-applications-1802.10458</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-high-gops-slice-time-series-classifier-for-portable-and-embedded-biomedical-applications-1802.10458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-high-gops-slice-time-series-classifier-for-portable-and-embedded-biomedical-applications-1802.10458"/></url>
<url><loc>https://scifaro.com/en/abs/digrad-multi-task-reinforcement-learning-with-shared-actions-1802.10463</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/digrad-multi-task-reinforcement-learning-with-shared-actions-1802.10463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/digrad-multi-task-reinforcement-learning-with-shared-actions-1802.10463"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-likelihood-estimation-of-a-finite-mixture-of-logistic-regression-models-in-a-continuous-data-stream-1802.10529</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-likelihood-estimation-of-a-finite-mixture-of-logistic-regression-models-in-a-continuous-data-stream-1802.10529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-likelihood-estimation-of-a-finite-mixture-of-logistic-regression-models-in-a-continuous-data-stream-1802.10529"/></url>
<url><loc>https://scifaro.com/en/abs/a-variational-inequality-perspective-on-generative-adversarial-networks-1802.10551</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variational-inequality-perspective-on-generative-adversarial-networks-1802.10551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variational-inequality-perspective-on-generative-adversarial-networks-1802.10551"/></url>
<url><loc>https://scifaro.com/en/abs/exactly-robust-kernel-principal-component-analysis-1802.10558</loc><lastmod>2019-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exactly-robust-kernel-principal-component-analysis-1802.10558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exactly-robust-kernel-principal-component-analysis-1802.10558"/></url>
<url><loc>https://scifaro.com/en/abs/learning-by-playing-solving-sparse-reward-tasks-from-scratch-1802.10567</loc><lastmod>2018-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-by-playing-solving-sparse-reward-tasks-from-scratch-1802.10567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-by-playing-solving-sparse-reward-tasks-from-scratch-1802.10567"/></url>
<url><loc>https://scifaro.com/en/abs/model-ensemble-trust-region-policy-optimization-1802.10592</loc><lastmod>2018-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-ensemble-trust-region-policy-optimization-1802.10592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-ensemble-trust-region-policy-optimization-1802.10592"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-classification-and-ranking-via-quantiles-1803.00067</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-classification-and-ranking-via-quantiles-1803.00067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-classification-and-ranking-via-quantiles-1803.00067"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-should-be-wide-enough-to-learn-disconnected-decision-regions-1803.00094</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-should-be-wide-enough-to-learn-disconnected-decision-regions-1803.00094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-should-be-wide-enough-to-learn-disconnected-decision-regions-1803.00094"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-value-estimation-for-efficient-model-free-reinforcement-learning-1803.00101</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-value-estimation-for-efficient-model-free-reinforcement-learning-1803.00101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-value-estimation-for-efficient-model-free-reinforcement-learning-1803.00101"/></url>
<url><loc>https://scifaro.com/en/abs/learning-longer-term-dependencies-in-rnns-with-auxiliary-losses-1803.00144</loc><lastmod>2018-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-longer-term-dependencies-in-rnns-with-auxiliary-losses-1803.00144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-longer-term-dependencies-in-rnns-with-auxiliary-losses-1803.00144"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-reverse-thinking-for-machine-learning-1803.00158</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-reverse-thinking-for-machine-learning-1803.00158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-reverse-thinking-for-machine-learning-1803.00158"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-correntropy-induced-losses-for-regression-with-mixture-of-symmetric-stable-noise-1803.00183</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-correntropy-induced-losses-for-regression-with-mixture-of-symmetric-stable-noise-1803.00183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-correntropy-induced-losses-for-regression-with-mixture-of-symmetric-stable-noise-1803.00183"/></url>
<url><loc>https://scifaro.com/en/abs/scalar-quantization-as-sparse-least-square-optimization-1803.00204</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalar-quantization-as-sparse-least-square-optimization-1803.00204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalar-quantization-as-sparse-least-square-optimization-1803.00204"/></url>
<url><loc>https://scifaro.com/en/abs/distance-measure-machines-1803.00250</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-measure-machines-1803.00250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-measure-machines-1803.00250"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-rates-for-cost-sensitive-learning-on-manifolds-with-approximate-nearest-neighbours-1803.00310</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-rates-for-cost-sensitive-learning-on-manifolds-with-approximate-nearest-neighbours-1803.00310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-rates-for-cost-sensitive-learning-on-manifolds-with-approximate-nearest-neighbours-1803.00310"/></url>
<url><loc>https://scifaro.com/en/abs/diversity-and-degrees-of-freedom-in-regression-ensembles-1803.00314</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversity-and-degrees-of-freedom-in-regression-ensembles-1803.00314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversity-and-degrees-of-freedom-in-regression-ensembles-1803.00314"/></url>
<url><loc>https://scifaro.com/en/abs/the-k-nearest-neighbour-ucb-algorithm-for-multi-armed-bandits-with-covariates-1803.00316</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-k-nearest-neighbour-ucb-algorithm-for-multi-armed-bandits-with-covariates-1803.00316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-k-nearest-neighbour-ucb-algorithm-for-multi-armed-bandits-with-covariates-1803.00316"/></url>
<url><loc>https://scifaro.com/en/abs/tractable-and-scalable-schatten-quasi-norm-approximations-for-rank-minimization-1803.00420</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tractable-and-scalable-schatten-quasi-norm-approximations-for-rank-minimization-1803.00420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tractable-and-scalable-schatten-quasi-norm-approximations-for-rank-minimization-1803.00420"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-transfer-with-jacobian-matching-1803.00443</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-transfer-with-jacobian-matching-1803.00443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-transfer-with-jacobian-matching-1803.00443"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-reinforcement-learning-via-nonparametric-spatio-temporal-subgoal-modeling-1803.00444</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-via-nonparametric-spatio-temporal-subgoal-modeling-1803.00444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-via-nonparametric-spatio-temporal-subgoal-modeling-1803.00444"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-missing-categorical-information-in-noisy-and-sparse-web-markup-1803.00446</loc><lastmod>2018-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-missing-categorical-information-in-noisy-and-sparse-web-markup-1803.00446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-missing-categorical-information-in-noisy-and-sparse-web-markup-1803.00446"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-imitation-and-reinforcement-learning-1803.00590</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-imitation-and-reinforcement-learning-1803.00590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-imitation-and-reinforcement-learning-1803.00590"/></url>
<url><loc>https://scifaro.com/en/abs/on-oracle-efficient-pac-rl-with-rich-observations-1803.00606</loc><lastmod>2019-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-oracle-efficient-pac-rl-with-rich-observations-1803.00606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-oracle-efficient-pac-rl-with-rich-observations-1803.00606"/></url>
<url><loc>https://scifaro.com/en/abs/semi-parametric-topological-memory-for-navigation-1803.00653</loc><lastmod>2018-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-parametric-topological-memory-for-navigation-1803.00653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-parametric-topological-memory-for-navigation-1803.00653"/></url>
<url><loc>https://scifaro.com/en/abs/evolutionary-generative-adversarial-networks-1803.00657</loc><lastmod>2018-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolutionary-generative-adversarial-networks-1803.00657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolutionary-generative-adversarial-networks-1803.00657"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-for-semi-supervised-few-shot-classification-1803.00676</loc><lastmod>2018-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-for-semi-supervised-few-shot-classification-1803.00676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-for-semi-supervised-few-shot-classification-1803.00676"/></url>
<url><loc>https://scifaro.com/en/abs/autostacker-a-compositional-evolutionary-learning-system-1803.00684</loc><lastmod>2018-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autostacker-a-compositional-evolutionary-learning-system-1803.00684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autostacker-a-compositional-evolutionary-learning-system-1803.00684"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-to-rank-in-e-commerce-search-engine-formalization-analysis-and-application-1803.00710</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-to-rank-in-e-commerce-search-engine-formalization-analysis-and-application-1803.00710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-to-rank-in-e-commerce-search-engine-formalization-analysis-and-application-1803.00710"/></url>
<url><loc>https://scifaro.com/en/abs/clinically-meaningful-comparisons-over-time-an-approach-to-measuring-patient-similarity-based-on-subsequence-alignment-1803.00744</loc><lastmod>2018-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clinically-meaningful-comparisons-over-time-an-approach-to-measuring-patient-similarity-based-on-subsequence-alignment-1803.00744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clinically-meaningful-comparisons-over-time-an-approach-to-measuring-patient-similarity-based-on-subsequence-alignment-1803.00744"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-geometric-matrix-completion-1803.00754</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-geometric-matrix-completion-1803.00754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-geometric-matrix-completion-1803.00754"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-goal-spaces-for-intrinsically-motivated-goal-exploration-1803.00781</loc><lastmod>2018-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-goal-spaces-for-intrinsically-motivated-goal-exploration-1803.00781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-goal-spaces-for-intrinsically-motivated-goal-exploration-1803.00781"/></url>
<url><loc>https://scifaro.com/en/abs/deep-cocktail-network-multi-source-unsupervised-domain-adaptation-with-category-shift-1803.00830</loc><lastmod>2018-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-cocktail-network-multi-source-unsupervised-domain-adaptation-with-category-shift-1803.00830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-cocktail-network-multi-source-unsupervised-domain-adaptation-with-category-shift-1803.00830"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-instance-deep-neural-network-classifier-application-to-higgs-boson-cp-measurement-1803.00838</loc><lastmod>2018-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-instance-deep-neural-network-classifier-application-to-higgs-boson-cp-measurement-1803.00838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-instance-deep-neural-network-classifier-application-to-higgs-boson-cp-measurement-1803.00838"/></url>
<url><loc>https://scifaro.com/en/abs/a-more-globally-accurate-dimensionality-reduction-method-using-triplets-1803.00854</loc><lastmod>2018-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-more-globally-accurate-dimensionality-reduction-method-using-triplets-1803.00854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-more-globally-accurate-dimensionality-reduction-method-using-triplets-1803.00854"/></url>
<url><loc>https://scifaro.com/en/abs/impact-of-biases-in-big-data-1803.00897</loc><lastmod>2018-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impact-of-biases-in-big-data-1803.00897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impact-of-biases-in-big-data-1803.00897"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-loss-surface-of-neural-networks-for-binary-classification-1803.00909</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-loss-surface-of-neural-networks-for-binary-classification-1803.00909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-loss-surface-of-neural-networks-for-binary-classification-1803.00909"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-prioritized-experience-replay-1803.00933</loc><lastmod>2018-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-prioritized-experience-replay-1803.00933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-prioritized-experience-replay-1803.00933"/></url>
<url><loc>https://scifaro.com/en/abs/not-all-samples-are-created-equal-deep-learning-with-importance-sampling-1803.00942</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/not-all-samples-are-created-equal-deep-learning-with-importance-sampling-1803.00942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/not-all-samples-are-created-equal-deep-learning-with-importance-sampling-1803.00942"/></url>
<url><loc>https://scifaro.com/en/abs/an-overview-of-robust-subspace-recovery-1803.01013</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-overview-of-robust-subspace-recovery-1803.01013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-overview-of-robust-subspace-recovery-1803.01013"/></url>
<url><loc>https://scifaro.com/en/abs/presistant-learning-based-assistant-for-data-pre-processing-1803.01024</loc><lastmod>2026-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/presistant-learning-based-assistant-for-data-pre-processing-1803.01024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/presistant-learning-based-assistant-for-data-pre-processing-1803.01024"/></url>
<url><loc>https://scifaro.com/en/abs/quantitatively-evaluating-gans-with-divergences-proposed-for-training-1803.01045</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantitatively-evaluating-gans-with-divergences-proposed-for-training-1803.01045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantitatively-evaluating-gans-with-divergences-proposed-for-training-1803.01045"/></url>
<url><loc>https://scifaro.com/en/abs/practical-contextual-bandits-with-regression-oracles-1803.01088</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-contextual-bandits-with-regression-oracles-1803.01088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-contextual-bandits-with-regression-oracles-1803.01088"/></url>
<url><loc>https://scifaro.com/en/abs/seq2sick-evaluating-the-robustness-of-sequence-to-sequence-models-with-adversarial-examples-1803.01128</loc><lastmod>2020-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seq2sick-evaluating-the-robustness-of-sequence-to-sequence-models-with-adversarial-examples-1803.01128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seq2sick-evaluating-the-robustness-of-sequence-to-sequence-models-with-adversarial-examples-1803.01128"/></url>
<url><loc>https://scifaro.com/en/abs/chest-x-ray-analysis-of-tuberculosis-by-deep-learning-with-segmentation-and-augmentation-1803.01199</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chest-x-ray-analysis-of-tuberculosis-by-deep-learning-with-segmentation-and-augmentation-1803.01199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chest-x-ray-analysis-of-tuberculosis-by-deep-learning-with-segmentation-and-augmentation-1803.01199"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-power-of-over-parametrization-in-neural-networks-with-quadratic-activation-1803.01206</loc><lastmod>2018-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-power-of-over-parametrization-in-neural-networks-with-quadratic-activation-1803.01206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-power-of-over-parametrization-in-neural-networks-with-quadratic-activation-1803.01206"/></url>
<url><loc>https://scifaro.com/en/abs/deep-bayesian-active-semi-supervised-learning-1803.01216</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-bayesian-active-semi-supervised-learning-1803.01216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-bayesian-active-semi-supervised-learning-1803.01216"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-spatial-temporal-similarity-a-deep-learning-framework-for-traffic-prediction-1803.01254</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-spatial-temporal-similarity-a-deep-learning-framework-for-traffic-prediction-1803.01254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-spatial-temporal-similarity-a-deep-learning-framework-for-traffic-prediction-1803.01254"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-evaluation-of-generic-convolutional-and-recurrent-networks-for-sequence-modeling-1803.01271</loc><lastmod>2018-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-generic-convolutional-and-recurrent-networks-for-sequence-modeling-1803.01271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-generic-convolutional-and-recurrent-networks-for-sequence-modeling-1803.01271"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-natural-gradient-with-higher-order-invariance-1803.01273</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-natural-gradient-with-higher-order-invariance-1803.01273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-natural-gradient-with-higher-order-invariance-1803.01273"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimal-control-approach-to-deep-learning-and-applications-to-discrete-weight-neural-networks-1803.01299</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimal-control-approach-to-deep-learning-and-applications-to-discrete-weight-neural-networks-1803.01299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimal-control-approach-to-deep-learning-and-applications-to-discrete-weight-neural-networks-1803.01299"/></url>
<url><loc>https://scifaro.com/en/abs/on-cognitive-preferences-and-the-plausibility-of-rule-based-models-1803.01316</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-cognitive-preferences-and-the-plausibility-of-rule-based-models-1803.01316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-cognitive-preferences-and-the-plausibility-of-rule-based-models-1803.01316"/></url>
<url><loc>https://scifaro.com/en/abs/deep-network-regularization-via-bayesian-inference-of-synaptic-connectivity-1803.01349</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-network-regularization-via-bayesian-inference-of-synaptic-connectivity-1803.01349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-network-regularization-via-bayesian-inference-of-synaptic-connectivity-1803.01349"/></url>
<url><loc>https://scifaro.com/en/abs/safe-spectral-evolution-analysis-feature-extraction-for-non-stationary-time-series-prediction-1803.01364</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-spectral-evolution-analysis-feature-extraction-for-non-stationary-time-series-prediction-1803.01364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-spectral-evolution-analysis-feature-extraction-for-non-stationary-time-series-prediction-1803.01364"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-correlations-with-little-memory-and-communication-1803.01420</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-correlations-with-little-memory-and-communication-1803.01420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-correlations-with-little-memory-and-communication-1803.01420"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-activation-pruning-for-robust-adversarial-defense-1803.01442</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-activation-pruning-for-robust-adversarial-defense-1803.01442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-activation-pruning-for-robust-adversarial-defense-1803.01442"/></url>
<url><loc>https://scifaro.com/en/abs/deep-continuous-clustering-1803.01449</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-continuous-clustering-1803.01449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-continuous-clustering-1803.01449"/></url>
<url><loc>https://scifaro.com/en/abs/byzantine-robust-distributed-learning-towards-optimal-statistical-rates-1803.01498</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/byzantine-robust-distributed-learning-towards-optimal-statistical-rates-1803.01498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/byzantine-robust-distributed-learning-towards-optimal-statistical-rates-1803.01498"/></url>
<url><loc>https://scifaro.com/en/abs/memorization-precedes-generation-learning-unsupervised-gans-with-memory-networks-1803.01500</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memorization-precedes-generation-learning-unsupervised-gans-with-memory-networks-1803.01500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memorization-precedes-generation-learning-unsupervised-gans-with-memory-networks-1803.01500"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-over-a-finite-action-set-with-limited-switching-1803.01548</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-over-a-finite-action-set-with-limited-switching-1803.01548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-over-a-finite-action-set-with-limited-switching-1803.01548"/></url>
<url><loc>https://scifaro.com/en/abs/n-body-networks-a-covariant-hierarchical-neural-network-architecture-for-learning-atomic-potentials-1803.01588</loc><lastmod>2018-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/n-body-networks-a-covariant-hierarchical-neural-network-architecture-for-learning-atomic-potentials-1803.01588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/n-body-networks-a-covariant-hierarchical-neural-network-architecture-for-learning-atomic-potentials-1803.01588"/></url>
<url><loc>https://scifaro.com/en/abs/on-extended-long-short-term-memory-and-dependent-bidirectional-recurrent-neural-network-1803.01686</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-extended-long-short-term-memory-and-dependent-bidirectional-recurrent-neural-network-1803.01686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-extended-long-short-term-memory-and-dependent-bidirectional-recurrent-neural-network-1803.01686"/></url>
<url><loc>https://scifaro.com/en/abs/an-analysis-of-the-t-sne-algorithm-for-data-visualization-1803.01768</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analysis-of-the-t-sne-algorithm-for-data-visualization-1803.01768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analysis-of-the-t-sne-algorithm-for-data-visualization-1803.01768"/></url>
<url><loc>https://scifaro.com/en/abs/one-class-adversarial-nets-for-fraud-detection-1803.01798</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-class-adversarial-nets-for-fraud-detection-1803.01798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-class-adversarial-nets-for-fraud-detection-1803.01798"/></url>
<url><loc>https://scifaro.com/en/abs/conducting-credit-assignment-by-aligning-local-representations-1803.01834</loc><lastmod>2018-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conducting-credit-assignment-by-aligning-local-representations-1803.01834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conducting-credit-assignment-by-aligning-local-representations-1803.01834"/></url>
<url><loc>https://scifaro.com/en/abs/taco-learning-task-decomposition-via-temporal-alignment-for-control-1803.01840</loc><lastmod>2018-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taco-learning-task-decomposition-via-temporal-alignment-for-control-1803.01840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taco-learning-task-decomposition-via-temporal-alignment-for-control-1803.01840"/></url>
<url><loc>https://scifaro.com/en/abs/on-discrimination-discovery-and-removal-in-ranked-data-using-causal-graph-1803.01901</loc><lastmod>2018-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-discrimination-discovery-and-removal-in-ranked-data-using-causal-graph-1803.01901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-discrimination-discovery-and-removal-in-ranked-data-using-causal-graph-1803.01901"/></url>
<url><loc>https://scifaro.com/en/abs/energy-entropy-competition-and-the-effectiveness-of-stochastic-gradient-descent-in-machine-learning-1803.01927</loc><lastmod>2018-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-entropy-competition-and-the-effectiveness-of-stochastic-gradient-descent-in-machine-learning-1803.01927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-entropy-competition-and-the-effectiveness-of-stochastic-gradient-descent-in-machine-learning-1803.01927"/></url>
<url><loc>https://scifaro.com/en/abs/occupancy-map-prediction-using-generative-and-fully-convolutional-networks-for-vehicle-navigation-1803.02007</loc><lastmod>2018-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/occupancy-map-prediction-using-generative-and-fully-convolutional-networks-for-vehicle-navigation-1803.02007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/occupancy-map-prediction-using-generative-and-fully-convolutional-networks-for-vehicle-navigation-1803.02007"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-short-horizon-bias-in-stochastic-meta-optimization-1803.02021</loc><lastmod>2018-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-short-horizon-bias-in-stochastic-meta-optimization-1803.02021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-short-horizon-bias-in-stochastic-meta-optimization-1803.02021"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-method-for-traffic-flow-forecasting-using-multimodal-deep-learning-1803.02099</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-method-for-traffic-flow-forecasting-using-multimodal-deep-learning-1803.02099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-method-for-traffic-flow-forecasting-using-multimodal-deep-learning-1803.02099"/></url>
<url><loc>https://scifaro.com/en/abs/hexaconv-1803.02108</loc><lastmod>2018-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hexaconv-1803.02108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hexaconv-1803.02108"/></url>
<url><loc>https://scifaro.com/en/abs/relative-pairwise-relationship-constrained-non-negative-matrix-factorisation-1803.02218</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-pairwise-relationship-constrained-non-negative-matrix-factorisation-1803.02218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-pairwise-relationship-constrained-non-negative-matrix-factorisation-1803.02218"/></url>
<url><loc>https://scifaro.com/en/abs/multi-class-active-learning-a-hybrid-informative-and-representative-criterion-inspired-approach-1803.02222</loc><lastmod>2018-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-class-active-learning-a-hybrid-informative-and-representative-criterion-inspired-approach-1803.02222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-class-active-learning-a-hybrid-informative-and-representative-criterion-inspired-approach-1803.02222"/></url>
<url><loc>https://scifaro.com/en/abs/mimo-graph-filters-for-convolutional-neural-networks-1803.02247</loc><lastmod>2018-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mimo-graph-filters-for-convolutional-neural-networks-1803.02247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mimo-graph-filters-for-convolutional-neural-networks-1803.02247"/></url>
<url><loc>https://scifaro.com/en/abs/deep-information-networks-1803.02251</loc><lastmod>2018-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-information-networks-1803.02251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-information-networks-1803.02251"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-reduction-for-stationary-time-series-via-stochastic-nonconvex-optimization-1803.02312</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-reduction-for-stationary-time-series-via-stochastic-nonconvex-optimization-1803.02312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-reduction-for-stationary-time-series-via-stochastic-nonconvex-optimization-1803.02312"/></url>
<url><loc>https://scifaro.com/en/abs/deep-super-learner-a-deep-ensemble-for-classification-problems-1803.02323</loc><lastmod>2018-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-super-learner-a-deep-ensemble-for-classification-problems-1803.02323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-super-learner-a-deep-ensemble-for-classification-problems-1803.02323"/></url>
<url><loc>https://scifaro.com/en/abs/learning-memory-access-patterns-1803.02329</loc><lastmod>2018-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-memory-access-patterns-1803.02329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-memory-access-patterns-1803.02329"/></url>
<url><loc>https://scifaro.com/en/abs/smoothed-action-value-functions-for-learning-gaussian-policies-1803.02348</loc><lastmod>2018-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothed-action-value-functions-for-learning-gaussian-policies-1803.02348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothed-action-value-functions-for-learning-gaussian-policies-1803.02348"/></url>
<url><loc>https://scifaro.com/en/abs/learning-small-predictors-1803.02388</loc><lastmod>2018-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-small-predictors-1803.02388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-small-predictors-1803.02388"/></url>
<url><loc>https://scifaro.com/en/abs/arbitrary-discrete-sequence-anomaly-detection-with-zero-boundary-lstm-1803.02395</loc><lastmod>2018-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arbitrary-discrete-sequence-anomaly-detection-with-zero-boundary-lstm-1803.02395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arbitrary-discrete-sequence-anomaly-detection-with-zero-boundary-lstm-1803.02395"/></url>
<url><loc>https://scifaro.com/en/abs/a-reductions-approach-to-fair-classification-1803.02453</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reductions-approach-to-fair-classification-1803.02453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reductions-approach-to-fair-classification-1803.02453"/></url>
<url><loc>https://scifaro.com/en/abs/robust-multiple-kernel-k-means-clustering-using-min-max-optimization-1803.02458</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-multiple-kernel-k-means-clustering-using-min-max-optimization-1803.02458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-multiple-kernel-k-means-clustering-using-min-max-optimization-1803.02458"/></url>
<url><loc>https://scifaro.com/en/abs/graph-learning-from-filtered-signals-graph-system-and-diffusion-kernel-identification-1803.02553</loc><lastmod>2018-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-learning-from-filtered-signals-graph-system-and-diffusion-kernel-identification-1803.02553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-learning-from-filtered-signals-graph-system-and-diffusion-kernel-identification-1803.02553"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-network-approach-to-missing-marker-reconstruction-in-human-motion-capture-1803.02665</loc><lastmod>2018-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-network-approach-to-missing-marker-reconstruction-in-human-motion-capture-1803.02665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-network-approach-to-missing-marker-reconstruction-in-human-motion-capture-1803.02665"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-with-neural-automl-1803.02780</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-with-neural-automl-1803.02780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-with-neural-automl-1803.02780"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-methods-for-deep-reinforcement-learning-1803.02811</loc><lastmod>2019-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-methods-for-deep-reinforcement-learning-1803.02811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-methods-for-deep-reinforcement-learning-1803.02811"/></url>
<url><loc>https://scifaro.com/en/abs/sever-a-robust-meta-algorithm-for-stochastic-optimization-1803.02815</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sever-a-robust-meta-algorithm-for-stochastic-optimization-1803.02815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sever-a-robust-meta-algorithm-for-stochastic-optimization-1803.02815"/></url>
<url><loc>https://scifaro.com/en/abs/satisficing-in-time-sensitive-bandit-learning-1803.02855</loc><lastmod>2020-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/satisficing-in-time-sensitive-bandit-learning-1803.02855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/satisficing-in-time-sensitive-bandit-learning-1803.02855"/></url>
<url><loc>https://scifaro.com/en/abs/the-advantage-of-doubling-a-deep-reinforcement-learning-approach-to-studying-the-double-team-in-the-nba-1803.02940</loc><lastmod>2018-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-advantage-of-doubling-a-deep-reinforcement-learning-approach-to-studying-the-double-team-in-the-nba-1803.02940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-advantage-of-doubling-a-deep-reinforcement-learning-approach-to-studying-the-double-team-in-the-nba-1803.02940"/></url>
<url><loc>https://scifaro.com/en/abs/some-approximation-bounds-for-deep-networks-1803.02956</loc><lastmod>2018-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-approximation-bounds-for-deep-networks-1803.02956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-approximation-bounds-for-deep-networks-1803.02956"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-objective-deep-reinforcement-learning-framework-1803.02965</loc><lastmod>2020-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-objective-deep-reinforcement-learning-framework-1803.02965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-objective-deep-reinforcement-learning-framework-1803.02965"/></url>
<url><loc>https://scifaro.com/en/abs/disentangled-sequential-autoencoder-1803.02991</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-sequential-autoencoder-1803.02991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-sequential-autoencoder-1803.02991"/></url>
<url><loc>https://scifaro.com/en/abs/on-first-order-meta-learning-algorithms-1803.02999</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-first-order-meta-learning-algorithms-1803.02999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-first-order-meta-learning-algorithms-1803.02999"/></url>
<url><loc>https://scifaro.com/en/abs/cross-domain-recommendation-via-deep-domain-adaptation-1803.03018</loc><lastmod>2018-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-domain-recommendation-via-deep-domain-adaptation-1803.03018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-domain-recommendation-via-deep-domain-adaptation-1803.03018"/></url>
<url><loc>https://scifaro.com/en/abs/generating-artificial-data-for-private-deep-learning-1803.03148</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-artificial-data-for-private-deep-learning-1803.03148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-artificial-data-for-private-deep-learning-1803.03148"/></url>
<url><loc>https://scifaro.com/en/abs/learning-rules-first-classifiers-1803.03155</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-rules-first-classifiers-1803.03155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-rules-first-classifiers-1803.03155"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-through-computationally-bounded-awareness-1803.03239</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-through-computationally-bounded-awareness-1803.03239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-through-computationally-bounded-awareness-1803.03239"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-algorithms-for-outlier-robust-regression-1803.03241</loc><lastmod>2020-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-algorithms-for-outlier-robust-regression-1803.03241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-algorithms-for-outlier-robust-regression-1803.03241"/></url>
<url><loc>https://scifaro.com/en/abs/probably-approximately-metric-fair-learning-1803.03242</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probably-approximately-metric-fair-learning-1803.03242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probably-approximately-metric-fair-learning-1803.03242"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-network-compression-with-single-and-multiple-level-quantization-1803.03289</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-compression-with-single-and-multiple-level-quantization-1803.03289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-compression-with-single-and-multiple-level-quantization-1803.03289"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-loss-based-decoding-on-graphs-for-extreme-classification-1803.03319</loc><lastmod>2018-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-loss-based-decoding-on-graphs-for-extreme-classification-1803.03319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-loss-based-decoding-on-graphs-for-extreme-classification-1803.03319"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-generative-models-of-graphs-1803.03324</loc><lastmod>2018-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-generative-models-of-graphs-1803.03324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-generative-models-of-graphs-1803.03324"/></url>
<url><loc>https://scifaro.com/en/abs/fast-decoding-in-sequence-models-using-discrete-latent-variables-1803.03382</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-decoding-in-sequence-models-using-discrete-latent-variables-1803.03382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-decoding-in-sequence-models-using-discrete-latent-variables-1803.03382"/></url>
<url><loc>https://scifaro.com/en/abs/high-accuracy-low-precision-training-1803.03383</loc><lastmod>2018-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-accuracy-low-precision-training-1803.03383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-accuracy-low-precision-training-1803.03383"/></url>
<url><loc>https://scifaro.com/en/abs/construction-of-neural-networks-for-realization-of-localized-deep-learning-1803.03503</loc><lastmod>2018-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/construction-of-neural-networks-for-realization-of-localized-deep-learning-1803.03503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/construction-of-neural-networks-for-realization-of-localized-deep-learning-1803.03503"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-black-box-android-malware-detection-1803.03544</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-black-box-android-malware-detection-1803.03544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-black-box-android-malware-detection-1803.03544"/></url>
<url><loc>https://scifaro.com/en/abs/on-generation-of-adversarial-examples-using-convex-programming-1803.03607</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-generation-of-adversarial-examples-using-convex-programming-1803.03607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-generation-of-adversarial-examples-using-convex-programming-1803.03607"/></url>
<url><loc>https://scifaro.com/en/abs/the-lottery-ticket-hypothesis-finding-sparse-trainable-neural-networks-1803.03635</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-lottery-ticket-hypothesis-finding-sparse-trainable-neural-networks-1803.03635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-lottery-ticket-hypothesis-finding-sparse-trainable-neural-networks-1803.03635"/></url>
<url><loc>https://scifaro.com/en/abs/precision-and-recall-for-time-series-1803.03639</loc><lastmod>2019-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/precision-and-recall-for-time-series-1803.03639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/precision-and-recall-for-time-series-1803.03639"/></url>
<url><loc>https://scifaro.com/en/abs/competitive-machine-learning-best-theoretical-prediction-vs-optimization-1803.03672</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/competitive-machine-learning-best-theoretical-prediction-vs-optimization-1803.03672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/competitive-machine-learning-best-theoretical-prediction-vs-optimization-1803.03672"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-outlier-detection-based-on-incremental-decision-trees-1803.03674</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-outlier-detection-based-on-incremental-decision-trees-1803.03674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-outlier-detection-based-on-incremental-decision-trees-1803.03674"/></url>
<url><loc>https://scifaro.com/en/abs/scoring-formulation-for-multi-condition-joint-plda-1803.03684</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scoring-formulation-for-multi-condition-joint-plda-1803.03684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scoring-formulation-for-multi-condition-joint-plda-1803.03684"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-and-expressivity-for-deep-nets-1803.03772</loc><lastmod>2018-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-and-expressivity-for-deep-nets-1803.03772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-and-expressivity-for-deep-nets-1803.03772"/></url>
<url><loc>https://scifaro.com/en/abs/armdn-associative-and-recurrent-mixture-density-networks-for-eretail-demand-forecasting-1803.03800</loc><lastmod>2018-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/armdn-associative-and-recurrent-mixture-density-networks-for-eretail-demand-forecasting-1803.03800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/armdn-associative-and-recurrent-mixture-density-networks-for-eretail-demand-forecasting-1803.03800"/></url>
<url><loc>https://scifaro.com/en/abs/submodular-hypergraphs-p-laplacians-cheeger-inequalities-and-spectral-clustering-1803.03833</loc><lastmod>2018-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/submodular-hypergraphs-p-laplacians-cheeger-inequalities-and-spectral-clustering-1803.03833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/submodular-hypergraphs-p-laplacians-cheeger-inequalities-and-spectral-clustering-1803.03833"/></url>
<url><loc>https://scifaro.com/en/abs/kickstarting-deep-reinforcement-learning-1803.03835</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kickstarting-deep-reinforcement-learning-1803.03835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kickstarting-deep-reinforcement-learning-1803.03835"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-decomposable-submodular-function-minimization-with-incidence-relations-1803.03851</loc><lastmod>2018-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-decomposable-submodular-function-minimization-with-incidence-relations-1803.03851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-decomposable-submodular-function-minimization-with-incidence-relations-1803.03851"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-adversarial-examples-via-neural-fingerprinting-1803.03870</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-adversarial-examples-via-neural-fingerprinting-1803.03870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-adversarial-examples-via-neural-fingerprinting-1803.03870"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-time-series-playing-idealized-trading-games-1803.03916</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-time-series-playing-idealized-trading-games-1803.03916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-time-series-playing-idealized-trading-games-1803.03916"/></url>
<url><loc>https://scifaro.com/en/abs/bebp-an-poisoning-method-against-machine-learning-based-idss-1803.03965</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bebp-an-poisoning-method-against-machine-learning-based-idss-1803.03965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bebp-an-poisoning-method-against-machine-learning-based-idss-1803.03965"/></url>
<url><loc>https://scifaro.com/en/abs/multi-armed-bandits-for-correlated-markovian-environments-with-smoothed-reward-feedback-1803.04008</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-armed-bandits-for-correlated-markovian-environments-with-smoothed-reward-feedback-1803.04008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-armed-bandits-for-correlated-markovian-environments-with-smoothed-reward-feedback-1803.04008"/></url>
<url><loc>https://scifaro.com/en/abs/sales-forecasting-using-wavenet-within-the-framework-of-the-kaggle-competition-1803.04037</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sales-forecasting-using-wavenet-within-the-framework-of-the-kaggle-competition-1803.04037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sales-forecasting-using-wavenet-within-the-framework-of-the-kaggle-competition-1803.04037"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-multi-objective-multi-armed-bandit-problem-1803.04039</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-multi-objective-multi-armed-bandit-problem-1803.04039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-multi-objective-multi-armed-bandit-problem-1803.04039"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-deep-classifier-by-visual-distillation-of-dark-knowledge-1803.04042</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-deep-classifier-by-visual-distillation-of-dark-knowledge-1803.04042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-deep-classifier-by-visual-distillation-of-dark-knowledge-1803.04042"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-over-dynamic-graphs-1803.04051</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-over-dynamic-graphs-1803.04051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-over-dynamic-graphs-1803.04051"/></url>
<url><loc>https://scifaro.com/en/abs/pseudo-task-augmentation-from-deep-multitask-learning-to-intratask-sharing-and-back-1803.04062</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pseudo-task-augmentation-from-deep-multitask-learning-to-intratask-sharing-and-back-1803.04062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pseudo-task-augmentation-from-deep-multitask-learning-to-intratask-sharing-and-back-1803.04062"/></url>
<url><loc>https://scifaro.com/en/abs/learning-discrete-bayesian-networks-in-polynomial-time-and-sample-complexity-1803.04087</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-discrete-bayesian-networks-in-polynomial-time-and-sample-complexity-1803.04087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-discrete-bayesian-networks-in-polynomial-time-and-sample-complexity-1803.04087"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-crowdsourcing-data-for-deep-active-learning-an-application-learning-intents-in-alexa-1803.04223</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-crowdsourcing-data-for-deep-active-learning-an-application-learning-intents-in-alexa-1803.04223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-crowdsourcing-data-for-deep-active-learning-an-application-learning-intents-in-alexa-1803.04223"/></url>
<url><loc>https://scifaro.com/en/abs/feta-a-dca-pruning-algorithm-with-generalization-error-guarantees-1803.04239</loc><lastmod>2018-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feta-a-dca-pruning-algorithm-with-generalization-error-guarantees-1803.04239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feta-a-dca-pruning-algorithm-with-generalization-error-guarantees-1803.04239"/></url>
<url><loc>https://scifaro.com/en/abs/neural-conditional-gradients-1803.04300</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-conditional-gradients-1803.04300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-conditional-gradients-1803.04300"/></url>
<url><loc>https://scifaro.com/en/abs/the-everlasting-database-statistical-validity-at-a-fair-price-1803.04307</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-everlasting-database-statistical-validity-at-a-fair-price-1803.04307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-everlasting-database-statistical-validity-at-a-fair-price-1803.04307"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-base-distribution-in-implicit-generative-models-1803.04357</loc><lastmod>2018-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-base-distribution-in-implicit-generative-models-1803.04357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-base-distribution-in-implicit-generative-models-1803.04357"/></url>
<url><loc>https://scifaro.com/en/abs/delayed-impact-of-fair-machine-learning-1803.04383</loc><lastmod>2018-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delayed-impact-of-fair-machine-learning-1803.04383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delayed-impact-of-fair-machine-learning-1803.04383"/></url>
<url><loc>https://scifaro.com/en/abs/flipout-efficient-pseudo-independent-weight-perturbations-on-mini-batches-1803.04386</loc><lastmod>2018-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flipout-efficient-pseudo-independent-weight-perturbations-on-mini-batches-1803.04386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flipout-efficient-pseudo-independent-weight-perturbations-on-mini-batches-1803.04386"/></url>
<url><loc>https://scifaro.com/en/abs/extended-affinity-propagation-global-discovery-and-local-insights-1803.04459</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extended-affinity-propagation-global-discovery-and-local-insights-1803.04459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extended-affinity-propagation-global-discovery-and-local-insights-1803.04459"/></url>
<url><loc>https://scifaro.com/en/abs/potentialnet-for-molecular-property-prediction-1803.04465</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/potentialnet-for-molecular-property-prediction-1803.04465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/potentialnet-for-molecular-property-prediction-1803.04465"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-and-regularized-graph-convolutional-networks-1803.04489</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-and-regularized-graph-convolutional-networks-1803.04489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-and-regularized-graph-convolutional-networks-1803.04489"/></url>
<url><loc>https://scifaro.com/en/abs/compact-convolutional-neural-networks-for-classification-of-asynchronous-steady-state-visual-evoked-potentials-1803.04566</loc><lastmod>2018-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compact-convolutional-neural-networks-for-classification-of-asynchronous-steady-state-visual-evoked-potentials-1803.04566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compact-convolutional-neural-networks-for-classification-of-asynchronous-steady-state-visual-evoked-potentials-1803.04566"/></url>
<url><loc>https://scifaro.com/en/abs/copa-constrained-parafac2-for-sparse-large-datasets-1803.04572</loc><lastmod>2018-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copa-constrained-parafac2-for-sparse-large-datasets-1803.04572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copa-constrained-parafac2-for-sparse-large-datasets-1803.04572"/></url>
<url><loc>https://scifaro.com/en/abs/it-was-the-training-data-pruning-too-1803.04579</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/it-was-the-training-data-pruning-too-1803.04579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/it-was-the-training-data-pruning-too-1803.04579"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-combinatorial-semi-bandits-1803.04623</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-combinatorial-semi-bandits-1803.04623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-combinatorial-semi-bandits-1803.04623"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-reinforcement-learning-approximating-optimal-discounted-tsp-using-local-policies-1803.04674</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-approximating-optimal-discounted-tsp-using-local-policies-1803.04674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-approximating-optimal-discounted-tsp-using-local-policies-1803.04674"/></url>
<url><loc>https://scifaro.com/en/abs/policy-search-in-continuous-action-domains-an-overview-1803.04706</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-search-in-continuous-action-domains-an-overview-1803.04706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-search-in-continuous-action-domains-an-overview-1803.04706"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-learning-of-cross-language-mappings-through-distributed-vector-representations-for-code-1803.04715</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-learning-of-cross-language-mappings-through-distributed-vector-representations-for-code-1803.04715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-learning-of-cross-language-mappings-through-distributed-vector-representations-for-code-1803.04715"/></url>
<url><loc>https://scifaro.com/en/abs/deep-k-nearest-neighbors-towards-confident-interpretable-and-robust-deep-learning-1803.04765</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-k-nearest-neighbors-towards-confident-interpretable-and-robust-deep-learning-1803.04765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-k-nearest-neighbors-towards-confident-interpretable-and-robust-deep-learning-1803.04765"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-forecasting-of-chaotic-processes-using-machine-learning-in-conjunction-with-a-knowledge-based-model-1803.04779</loc><lastmod>2018-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-forecasting-of-chaotic-processes-using-machine-learning-in-conjunction-with-a-knowledge-based-model-1803.04779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-forecasting-of-chaotic-processes-using-machine-learning-in-conjunction-with-a-knowledge-based-model-1803.04779"/></url>
<url><loc>https://scifaro.com/en/abs/testing-deep-neural-networks-1803.04792</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-deep-neural-networks-1803.04792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-deep-neural-networks-1803.04792"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-neural-network-based-modelling-approach-for-municipal-solid-waste-gasification-in-a-fluidized-bed-reactor-1803.04813</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-neural-network-based-modelling-approach-for-municipal-solid-waste-gasification-in-a-fluidized-bed-reactor-1803.04813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-neural-network-based-modelling-approach-for-municipal-solid-waste-gasification-in-a-fluidized-bed-reactor-1803.04813"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-boolean-matrix-approximation-by-integer-programming-1803.04825</loc><lastmod>2018-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-boolean-matrix-approximation-by-integer-programming-1803.04825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-boolean-matrix-approximation-by-integer-programming-1803.04825"/></url>
<url><loc>https://scifaro.com/en/abs/soft-robust-actor-critic-policy-gradient-1803.04848</loc><lastmod>2018-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-robust-actor-critic-policy-gradient-1803.04848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-robust-actor-critic-policy-gradient-1803.04848"/></url>
<url><loc>https://scifaro.com/en/abs/active-reinforcement-learning-with-monte-carlo-tree-search-1803.04926</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-reinforcement-learning-with-monte-carlo-tree-search-1803.04926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-reinforcement-learning-with-monte-carlo-tree-search-1803.04926"/></url>
<url><loc>https://scifaro.com/en/abs/onion-peeling-outlier-detection-in-2-d-data-sets-1803.04964</loc><lastmod>2018-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/onion-peeling-outlier-detection-in-2-d-data-sets-1803.04964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/onion-peeling-outlier-detection-in-2-d-data-sets-1803.04964"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-network-attention-mechanisms-for-interpretable-system-log-anomaly-detection-1803.04967</loc><lastmod>2018-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-network-attention-mechanisms-for-interpretable-system-log-anomaly-detection-1803.04967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-network-attention-mechanisms-for-interpretable-system-log-anomaly-detection-1803.04967"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-disease-progression-model-for-predicting-future-clinical-outcome-1803.05011</loc><lastmod>2018-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-disease-progression-model-for-predicting-future-clinical-outcome-1803.05011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-disease-progression-model-for-predicting-future-clinical-outcome-1803.05011"/></url>
<url><loc>https://scifaro.com/en/abs/principal-component-analysis-with-tensor-train-subspace-1803.05026</loc><lastmod>2018-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principal-component-analysis-with-tensor-train-subspace-1803.05026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principal-component-analysis-with-tensor-train-subspace-1803.05026"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-explore-with-meta-policy-gradient-1803.05044</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-explore-with-meta-policy-gradient-1803.05044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-explore-with-meta-policy-gradient-1803.05044"/></url>
<url><loc>https://scifaro.com/en/abs/model-agnostic-private-learning-via-stability-1803.05101</loc><lastmod>2018-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-agnostic-private-learning-via-stability-1803.05101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-agnostic-private-learning-via-stability-1803.05101"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-with-adaptive-neighbors-1803.05105</loc><lastmod>2018-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-with-adaptive-neighbors-1803.05105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-with-adaptive-neighbors-1803.05105"/></url>
<url><loc>https://scifaro.com/en/abs/defending-against-adversarial-attack-towards-deep-neural-networks-via-collaborative-multi-task-training-1803.05123</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defending-against-adversarial-attack-towards-deep-neural-networks-via-collaborative-multi-task-training-1803.05123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defending-against-adversarial-attack-towards-deep-neural-networks-via-collaborative-multi-task-training-1803.05123"/></url>
<url><loc>https://scifaro.com/en/abs/multiplicative-updates-for-convolutional-nmf-under-beta-divergence-1803.05159</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiplicative-updates-for-convolutional-nmf-under-beta-divergence-1803.05159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiplicative-updates-for-convolutional-nmf-under-beta-divergence-1803.05159"/></url>
<url><loc>https://scifaro.com/en/abs/xdeepfm-combining-explicit-and-implicit-feature-interactions-for-recommender-systems-1803.05170</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xdeepfm-combining-explicit-and-implicit-feature-interactions-for-recommender-systems-1803.05170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xdeepfm-combining-explicit-and-implicit-feature-interactions-for-recommender-systems-1803.05170"/></url>
<url><loc>https://scifaro.com/en/abs/learning-latent-superstructures-in-variational-autoencoders-for-deep-multidimensional-clustering-1803.05206</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-latent-superstructures-in-variational-autoencoders-for-deep-multidimensional-clustering-1803.05206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-latent-superstructures-in-variational-autoencoders-for-deep-multidimensional-clustering-1803.05206"/></url>
<url><loc>https://scifaro.com/en/abs/building-sparse-deep-feedforward-networks-using-tree-receptive-fields-1803.05209</loc><lastmod>2018-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-sparse-deep-feedforward-networks-using-tree-receptive-fields-1803.05209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-sparse-deep-feedforward-networks-using-tree-receptive-fields-1803.05209"/></url>
<url><loc>https://scifaro.com/en/abs/algebraic-machine-learning-1803.05252</loc><lastmod>2018-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algebraic-machine-learning-1803.05252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algebraic-machine-learning-1803.05252"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-play-general-video-games-via-an-object-embedding-network-1803.05262</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-play-general-video-games-via-an-object-embedding-network-1803.05262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-play-general-video-games-via-an-object-embedding-network-1803.05262"/></url>
<url><loc>https://scifaro.com/en/abs/self-similar-epochs-value-in-arrangement-1803.05389</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-similar-epochs-value-in-arrangement-1803.05389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-similar-epochs-value-in-arrangement-1803.05389"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-universal-approximation-property-and-equivalence-of-stochastic-computing-based-neural-networks-and-binary-neural-networks-1803.05391</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-universal-approximation-property-and-equivalence-of-stochastic-computing-based-neural-networks-and-binary-neural-networks-1803.05391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-universal-approximation-property-and-equivalence-of-stochastic-computing-based-neural-networks-and-binary-neural-networks-1803.05391"/></url>
<url><loc>https://scifaro.com/en/abs/averaging-weights-leads-to-wider-optima-and-better-generalization-1803.05407</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/averaging-weights-leads-to-wider-optima-and-better-generalization-1803.05407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/averaging-weights-leads-to-wider-optima-and-better-generalization-1803.05407"/></url>
<url><loc>https://scifaro.com/en/abs/a-hierarchical-latent-vector-model-for-learning-long-term-structure-in-music-1803.05428</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hierarchical-latent-vector-model-for-learning-long-term-structure-in-music-1803.05428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hierarchical-latent-vector-model-for-learning-long-term-structure-in-music-1803.05428"/></url>
<url><loc>https://scifaro.com/en/abs/sustain-scalable-unsupervised-scoring-for-tensors-and-its-application-to-phenotyping-1803.05473</loc><lastmod>2018-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sustain-scalable-unsupervised-scoring-for-tensors-and-its-application-to-phenotyping-1803.05473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sustain-scalable-unsupervised-scoring-for-tensors-and-its-application-to-phenotyping-1803.05473"/></url>
<url><loc>https://scifaro.com/en/abs/improving-gans-using-optimal-transport-1803.05573</loc><lastmod>2018-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-gans-using-optimal-transport-1803.05573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-gans-using-optimal-transport-1803.05573"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-insufficiency-of-existing-momentum-schemes-for-stochastic-optimization-1803.05591</loc><lastmod>2018-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-insufficiency-of-existing-momentum-schemes-for-stochastic-optimization-1803.05591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-insufficiency-of-existing-momentum-schemes-for-stochastic-optimization-1803.05591"/></url>
<url><loc>https://scifaro.com/en/abs/fast-subspace-clustering-based-on-the-kronecker-product-1803.05657</loc><lastmod>2018-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-subspace-clustering-based-on-the-kronecker-product-1803.05657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-subspace-clustering-based-on-the-kronecker-product-1803.05657"/></url>
<url><loc>https://scifaro.com/en/abs/theory-and-algorithms-for-forecasting-time-series-1803.05814</loc><lastmod>2018-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-and-algorithms-for-forecasting-time-series-1803.05814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-and-algorithms-for-forecasting-time-series-1803.05814"/></url>
<url><loc>https://scifaro.com/en/abs/escaping-saddles-with-stochastic-gradients-1803.05999</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/escaping-saddles-with-stochastic-gradients-1803.05999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/escaping-saddles-with-stochastic-gradients-1803.05999"/></url>
<url><loc>https://scifaro.com/en/abs/constant-time-predictive-distributions-for-gaussian-processes-1803.06058</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constant-time-predictive-distributions-for-gaussian-processes-1803.06058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constant-time-predictive-distributions-for-gaussian-processes-1803.06058"/></url>
<url><loc>https://scifaro.com/en/abs/a-kernel-theory-of-modern-data-augmentation-1803.06084</loc><lastmod>2019-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kernel-theory-of-modern-data-augmentation-1803.06084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kernel-theory-of-modern-data-augmentation-1803.06084"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-deep-feedforward-networks-via-tree-skeleton-expansion-1803.06120</loc><lastmod>2018-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-deep-feedforward-networks-via-tree-skeleton-expansion-1803.06120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-deep-feedforward-networks-via-tree-skeleton-expansion-1803.06120"/></url>
<url><loc>https://scifaro.com/en/abs/chemi-net-a-graph-convolutional-network-for-accurate-drug-property-prediction-1803.06236</loc><lastmod>2018-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chemi-net-a-graph-convolutional-network-for-accurate-drug-property-prediction-1803.06236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chemi-net-a-graph-convolutional-network-for-accurate-drug-property-prediction-1803.06236"/></url>
<url><loc>https://scifaro.com/en/abs/graph-partition-neural-networks-for-semi-supervised-classification-1803.06272</loc><lastmod>2018-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-partition-neural-networks-for-semi-supervised-classification-1803.06272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-partition-neural-networks-for-semi-supervised-classification-1803.06272"/></url>
<url><loc>https://scifaro.com/en/abs/c-lstm-enabling-efficient-lstm-using-structured-compression-techniques-on-fpgas-1803.06305</loc><lastmod>2018-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/c-lstm-enabling-efficient-lstm-using-structured-compression-techniques-on-fpgas-1803.06305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/c-lstm-enabling-efficient-lstm-using-structured-compression-techniques-on-fpgas-1803.06305"/></url>
<url><loc>https://scifaro.com/en/abs/snap-ml-a-hierarchical-framework-for-machine-learning-1803.06333</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/snap-ml-a-hierarchical-framework-for-machine-learning-1803.06333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/snap-ml-a-hierarchical-framework-for-machine-learning-1803.06333"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-logit-pairing-1803.06373</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-logit-pairing-1803.06373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-logit-pairing-1803.06373"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-economics-and-financial-time-series-arima-vs-lstm-1803.06386</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-economics-and-financial-time-series-arima-vs-lstm-1803.06386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-economics-and-financial-time-series-arima-vs-lstm-1803.06386"/></url>
<url><loc>https://scifaro.com/en/abs/reviving-and-improving-recurrent-back-propagation-1803.06396</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reviving-and-improving-recurrent-back-propagation-1803.06396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reviving-and-improving-recurrent-back-propagation-1803.06396"/></url>
<url><loc>https://scifaro.com/en/abs/deep-component-analysis-via-alternating-direction-neural-networks-1803.06407</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-component-analysis-via-alternating-direction-neural-networks-1803.06407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-component-analysis-via-alternating-direction-neural-networks-1803.06407"/></url>
<url><loc>https://scifaro.com/en/abs/communication-compression-for-decentralized-training-1803.06443</loc><lastmod>2019-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-compression-for-decentralized-training-1803.06443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-compression-for-decentralized-training-1803.06443"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-deep-learning-using-conditional-gradient-and-applications-in-computer-vision-1803.06453</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-deep-learning-using-conditional-gradient-and-applications-in-computer-vision-1803.06453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-deep-learning-using-conditional-gradient-and-applications-in-computer-vision-1803.06453"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-the-low-degree-algorithm-mixtures-of-subcubes-and-their-applications-1803.06521</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-the-low-degree-algorithm-mixtures-of-subcubes-and-their-applications-1803.06521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-the-low-degree-algorithm-mixtures-of-subcubes-and-their-applications-1803.06521"/></url>
<url><loc>https://scifaro.com/en/abs/automl-from-service-provider-s-perspective-multi-device-multi-tenant-model-selection-with-gp-ei-1803.06561</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automl-from-service-provider-s-perspective-multi-device-multi-tenant-model-selection-with-gp-ei-1803.06561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automl-from-service-provider-s-perspective-multi-device-multi-tenant-model-selection-with-gp-ei-1803.06561"/></url>
<url><loc>https://scifaro.com/en/abs/a-dual-approach-to-scalable-verification-of-deep-networks-1803.06567</loc><lastmod>2018-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dual-approach-to-scalable-verification-of-deep-networks-1803.06567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dual-approach-to-scalable-verification-of-deep-networks-1803.06567"/></url>
<url><loc>https://scifaro.com/en/abs/learning-long-term-dependencies-via-fourier-recurrent-units-1803.06585</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-long-term-dependencies-via-fourier-recurrent-units-1803.06585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-long-term-dependencies-via-fourier-recurrent-units-1803.06585"/></url>
<url><loc>https://scifaro.com/en/abs/structural-query-by-committee-1803.06586</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-query-by-committee-1803.06586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-query-by-committee-1803.06586"/></url>
<url><loc>https://scifaro.com/en/abs/early-hospital-mortality-prediction-using-vital-signals-1803.06589</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-hospital-mortality-prediction-using-vital-signals-1803.06589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-hospital-mortality-prediction-using-vital-signals-1803.06589"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-auc-maximization-framework-with-simultaneous-outlier-detection-and-feature-selection-for-positive-unlabeled-classification-1803.06604</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-auc-maximization-framework-with-simultaneous-outlier-detection-and-feature-selection-for-positive-unlabeled-classification-1803.06604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-auc-maximization-framework-with-simultaneous-outlier-detection-and-feature-selection-for-positive-unlabeled-classification-1803.06604"/></url>
<url><loc>https://scifaro.com/en/abs/aggregating-strategies-for-long-term-forecasting-1803.06727</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregating-strategies-for-long-term-forecasting-1803.06727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregating-strategies-for-long-term-forecasting-1803.06727"/></url>
<url><loc>https://scifaro.com/en/abs/composable-deep-reinforcement-learning-for-robotic-manipulation-1803.06773</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composable-deep-reinforcement-learning-for-robotic-manipulation-1803.06773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composable-deep-reinforcement-learning-for-robotic-manipulation-1803.06773"/></url>
<url><loc>https://scifaro.com/en/abs/tbd-benchmarking-and-analyzing-deep-neural-network-training-1803.06905</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tbd-benchmarking-and-analyzing-deep-neural-network-training-1803.06905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tbd-benchmarking-and-analyzing-deep-neural-network-training-1803.06905"/></url>
<url><loc>https://scifaro.com/en/abs/newton-gravitating-towards-the-physical-limits-of-crossbar-acceleration-1803.06913</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/newton-gravitating-towards-the-physical-limits-of-crossbar-acceleration-1803.06913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/newton-gravitating-towards-the-physical-limits-of-crossbar-acceleration-1803.06913"/></url>
<url><loc>https://scifaro.com/en/abs/asymmetric-kernel-in-gaussian-processes-for-learning-target-variance-1803.06952</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymmetric-kernel-in-gaussian-processes-for-learning-target-variance-1803.06952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymmetric-kernel-in-gaussian-processes-for-learning-target-variance-1803.06952"/></url>
<url><loc>https://scifaro.com/en/abs/simple-random-search-provides-a-competitive-approach-to-reinforcement-learning-1803.07055</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-random-search-provides-a-competitive-approach-to-reinforcement-learning-1803.07055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-random-search-provides-a-competitive-approach-to-reinforcement-learning-1803.07055"/></url>
<url><loc>https://scifaro.com/en/abs/setting-up-a-reinforcement-learning-task-with-a-real-world-robot-1803.07067</loc><lastmod>2018-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/setting-up-a-reinforcement-learning-task-with-a-real-world-robot-1803.07067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/setting-up-a-reinforcement-learning-task-with-a-real-world-robot-1803.07067"/></url>
<url><loc>https://scifaro.com/en/abs/training-recurrent-neural-networks-as-a-constraint-satisfaction-problem-1803.07200</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-recurrent-neural-networks-as-a-constraint-satisfaction-problem-1803.07200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-recurrent-neural-networks-as-a-constraint-satisfaction-problem-1803.07200"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-information-geometry-the-dually-flat-case-1803.07225</loc><lastmod>2018-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-information-geometry-the-dually-flat-case-1803.07225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-information-geometry-the-dually-flat-case-1803.07225"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduction-for-policy-gradient-with-action-dependent-factorized-baselines-1803.07246</loc><lastmod>2018-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduction-for-policy-gradient-with-action-dependent-factorized-baselines-1803.07246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduction-for-policy-gradient-with-action-dependent-factorized-baselines-1803.07246"/></url>
<url><loc>https://scifaro.com/en/abs/gaan-gated-attention-networks-for-learning-on-large-and-spatiotemporal-graphs-1803.07294</loc><lastmod>2018-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaan-gated-attention-networks-for-learning-on-large-and-spatiotemporal-graphs-1803.07294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaan-gated-attention-networks-for-learning-on-large-and-spatiotemporal-graphs-1803.07294"/></url>
<url><loc>https://scifaro.com/en/abs/risk-and-parameter-convergence-of-logistic-regression-1803.07300</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-and-parameter-convergence-of-logistic-regression-1803.07300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-and-parameter-convergence-of-logistic-regression-1803.07300"/></url>
<url><loc>https://scifaro.com/en/abs/tensor2tensor-for-neural-machine-translation-1803.07416</loc><lastmod>2018-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor2tensor-for-neural-machine-translation-1803.07416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor2tensor-for-neural-machine-translation-1803.07416"/></url>
<url><loc>https://scifaro.com/en/abs/mltuner-system-support-for-automatic-machine-learning-tuning-1803.07445</loc><lastmod>2018-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mltuner-system-support-for-automatic-machine-learning-tuning-1803.07445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mltuner-system-support-for-automatic-machine-learning-tuning-1803.07445"/></url>
<url><loc>https://scifaro.com/en/abs/natural-gradient-deep-q-learning-1803.07482</loc><lastmod>2018-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-gradient-deep-q-learning-1803.07482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-gradient-deep-q-learning-1803.07482"/></url>
<url><loc>https://scifaro.com/en/abs/stacked-neural-networks-for-end-to-end-ciliary-motion-analysis-1803.07534</loc><lastmod>2018-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stacked-neural-networks-for-end-to-end-ciliary-motion-analysis-1803.07534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stacked-neural-networks-for-end-to-end-ciliary-motion-analysis-1803.07534"/></url>
<url><loc>https://scifaro.com/en/abs/generating-multi-agent-trajectories-using-programmatic-weak-supervision-1803.07612</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-multi-agent-trajectories-using-programmatic-weak-supervision-1803.07612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-multi-agent-trajectories-using-programmatic-weak-supervision-1803.07612"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-sufficient-statistics-and-the-burkholder-method-1803.07617</loc><lastmod>2018-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-sufficient-statistics-and-the-burkholder-method-1803.07617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-sufficient-statistics-and-the-burkholder-method-1803.07617"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-recurrent-neural-networks-using-structured-matrices-in-fpgas-1803.07661</loc><lastmod>2018-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-recurrent-neural-networks-using-structured-matrices-in-fpgas-1803.07661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-recurrent-neural-networks-using-structured-matrices-in-fpgas-1803.07661"/></url>
<url><loc>https://scifaro.com/en/abs/inference-in-probabilistic-graphical-models-by-graph-neural-networks-1803.07710</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-in-probabilistic-graphical-models-by-graph-neural-networks-1803.07710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-in-probabilistic-graphical-models-by-graph-neural-networks-1803.07710"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-metric-learning-in-vector-valued-kernel-spaces-1803.07821</loc><lastmod>2018-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-metric-learning-in-vector-valued-kernel-spaces-1803.07821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-metric-learning-in-vector-valued-kernel-spaces-1803.07821"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-learning-under-random-reshuffling-with-constant-step-sizes-1803.07964</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-learning-under-random-reshuffling-with-constant-step-sizes-1803.07964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-learning-under-random-reshuffling-with-constant-step-sizes-1803.07964"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-interpretation-of-deep-learning-1803.07980</loc><lastmod>2018-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-interpretation-of-deep-learning-1803.07980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-interpretation-of-deep-learning-1803.07980"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-defense-based-on-structure-to-signal-autoencoders-1803.07994</loc><lastmod>2018-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-defense-based-on-structure-to-signal-autoencoders-1803.07994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-defense-based-on-structure-to-signal-autoencoders-1803.07994"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-to-reduce-spatial-data-set-size-1803.08101</loc><lastmod>2018-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-to-reduce-spatial-data-set-size-1803.08101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-to-reduce-spatial-data-set-size-1803.08101"/></url>
<url><loc>https://scifaro.com/en/abs/boosted-density-estimation-remastered-1803.08178</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosted-density-estimation-remastered-1803.08178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosted-density-estimation-remastered-1803.08178"/></url>
<url><loc>https://scifaro.com/en/abs/enforcing-constraints-for-interpolation-and-extrapolation-in-generative-adversarial-networks-1803.08182</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enforcing-constraints-for-interpolation-and-extrapolation-in-generative-adversarial-networks-1803.08182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enforcing-constraints-for-interpolation-and-extrapolation-in-generative-adversarial-networks-1803.08182"/></url>
<url><loc>https://scifaro.com/en/abs/residual-networks-lyapunov-stability-and-convex-decomposition-1803.08203</loc><lastmod>2018-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-networks-lyapunov-stability-and-convex-decomposition-1803.08203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-networks-lyapunov-stability-and-convex-decomposition-1803.08203"/></url>
<url><loc>https://scifaro.com/en/abs/structured-output-learning-with-abstention-application-to-accurate-opinion-prediction-1803.08355</loc><lastmod>2019-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-output-learning-with-abstention-application-to-accurate-opinion-prediction-1803.08355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-output-learning-with-abstention-application-to-accurate-opinion-prediction-1803.08355"/></url>
<url><loc>https://scifaro.com/en/abs/learning-through-deterministic-assignment-of-hidden-parameters-1803.08374</loc><lastmod>2018-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-through-deterministic-assignment-of-hidden-parameters-1803.08374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-through-deterministic-assignment-of-hidden-parameters-1803.08374"/></url>
<url><loc>https://scifaro.com/en/abs/demystifying-deep-learning-a-geometric-approach-to-iterative-projections-1803.08416</loc><lastmod>2018-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-deep-learning-a-geometric-approach-to-iterative-projections-1803.08416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-deep-learning-a-geometric-approach-to-iterative-projections-1803.08416"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-learning-for-the-deep-multivariate-probit-model-1803.08591</loc><lastmod>2018-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-learning-for-the-deep-multivariate-probit-model-1803.08591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-learning-for-the-deep-multivariate-probit-model-1803.08591"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-simulated-radio-signals-using-wide-residual-networks-for-use-in-the-search-for-extra-terrestrial-intelligence-1803.08624</loc><lastmod>2018-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-simulated-radio-signals-using-wide-residual-networks-for-use-in-the-search-for-extra-terrestrial-intelligence-1803.08624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-simulated-radio-signals-using-wide-residual-networks-for-use-in-the-search-for-extra-terrestrial-intelligence-1803.08624"/></url>
<url><loc>https://scifaro.com/en/abs/fictitious-gan-training-gans-with-historical-models-1803.08647</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fictitious-gan-training-gans-with-historical-models-1803.08647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fictitious-gan-training-gans-with-historical-models-1803.08647"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-with-expensive-integrands-1803.08661</loc><lastmod>2018-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-with-expensive-integrands-1803.08661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-with-expensive-integrands-1803.08661"/></url>
<url><loc>https://scifaro.com/en/abs/improving-dnn-robustness-to-adversarial-attacks-using-jacobian-regularization-1803.08680</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-dnn-robustness-to-adversarial-attacks-using-jacobian-regularization-1803.08680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-dnn-robustness-to-adversarial-attacks-using-jacobian-regularization-1803.08680"/></url>
<url><loc>https://scifaro.com/en/abs/alarm-based-prescriptive-process-monitoring-1803.08706</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alarm-based-prescriptive-process-monitoring-1803.08706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alarm-based-prescriptive-process-monitoring-1803.08706"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-adversarial-perturbations-with-saliency-1803.08773</loc><lastmod>2018-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-adversarial-perturbations-with-saliency-1803.08773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-adversarial-perturbations-with-saliency-1803.08773"/></url>
<url><loc>https://scifaro.com/en/abs/byzantine-stochastic-gradient-descent-1803.08917</loc><lastmod>2018-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/byzantine-stochastic-gradient-descent-1803.08917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/byzantine-stochastic-gradient-descent-1803.08917"/></url>
<url><loc>https://scifaro.com/en/abs/broad-learning-for-healthcare-1803.08978</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/broad-learning-for-healthcare-1803.08978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/broad-learning-for-healthcare-1803.08978"/></url>
<url><loc>https://scifaro.com/en/abs/from-shannon-s-channel-to-semantic-channel-via-new-bayes-formulas-for-machine-learning-1803.08979</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-shannon-s-channel-to-semantic-channel-via-new-bayes-formulas-for-machine-learning-1803.08979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-shannon-s-channel-to-semantic-channel-via-new-bayes-formulas-for-machine-learning-1803.08979"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-phase-segregation-1803.08993</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-phase-segregation-1803.08993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-phase-segregation-1803.08993"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-learning-in-constructive-predictive-frameworks-with-the-successor-representation-1803.09001</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-learning-in-constructive-predictive-frameworks-with-the-successor-representation-1803.09001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-learning-in-constructive-predictive-frameworks-with-the-successor-representation-1803.09001"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-reweight-examples-for-robust-deep-learning-1803.09050</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-reweight-examples-for-robust-deep-learning-1803.09050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-reweight-examples-for-robust-deep-learning-1803.09050"/></url>
<url><loc>https://scifaro.com/en/abs/aaane-attention-based-adversarial-autoencoder-for-multi-scale-network-embedding-1803.09080</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aaane-attention-based-adversarial-autoencoder-for-multi-scale-network-embedding-1803.09080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aaane-attention-based-adversarial-autoencoder-for-multi-scale-network-embedding-1803.09080"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-generative-adversarial-network-techniques-for-image-creation-and-modification-1803.09093</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-generative-adversarial-network-techniques-for-image-creation-and-modification-1803.09093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-generative-adversarial-network-techniques-for-image-creation-and-modification-1803.09093"/></url>
<url><loc>https://scifaro.com/en/abs/handling-adversarial-concept-drift-in-streaming-data-1803.09160</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/handling-adversarial-concept-drift-in-streaming-data-1803.09160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/handling-adversarial-concept-drift-in-streaming-data-1803.09160"/></url>
<url><loc>https://scifaro.com/en/abs/a-dynamic-adversarial-mining-approach-to-the-security-of-machine-learning-1803.09162</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dynamic-adversarial-mining-approach-to-the-security-of-machine-learning-1803.09162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dynamic-adversarial-mining-approach-to-the-security-of-machine-learning-1803.09162"/></url>
<url><loc>https://scifaro.com/en/abs/security-theater-on-the-vulnerability-of-classifiers-to-exploratory-attacks-1803.09163</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/security-theater-on-the-vulnerability-of-classifiers-to-exploratory-attacks-1803.09163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/security-theater-on-the-vulnerability-of-classifiers-to-exploratory-attacks-1803.09163"/></url>
<url><loc>https://scifaro.com/en/abs/bernoulli-embeddings-for-graphs-1803.09211</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bernoulli-embeddings-for-graphs-1803.09211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bernoulli-embeddings-for-graphs-1803.09211"/></url>
<url><loc>https://scifaro.com/en/abs/goldbach-s-function-approximation-using-deep-learning-1803.09237</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/goldbach-s-function-approximation-using-deep-learning-1803.09237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/goldbach-s-function-approximation-using-deep-learning-1803.09237"/></url>
<url><loc>https://scifaro.com/en/abs/sunlayer-stable-denoising-with-generative-networks-1803.09319</loc><lastmod>2026-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sunlayer-stable-denoising-with-generative-networks-1803.09319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sunlayer-stable-denoising-with-generative-networks-1803.09319"/></url>
<url><loc>https://scifaro.com/en/abs/stabilizing-gradients-for-deep-neural-networks-via-efficient-svd-parameterization-1803.09327</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilizing-gradients-for-deep-neural-networks-via-efficient-svd-parameterization-1803.09327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilizing-gradients-for-deep-neural-networks-via-efficient-svd-parameterization-1803.09327"/></url>
<url><loc>https://scifaro.com/en/abs/logistic-regression-the-importance-of-being-improper-1803.09349</loc><lastmod>2018-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logistic-regression-the-importance-of-being-improper-1803.09349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logistic-regression-the-importance-of-being-improper-1803.09349"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-bandits-robust-to-adversarial-corruptions-1803.09353</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-bandits-robust-to-adversarial-corruptions-1803.09353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-bandits-robust-to-adversarial-corruptions-1803.09353"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-local-minima-of-the-empirical-risk-1803.09357</loc><lastmod>2018-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-local-minima-of-the-empirical-risk-1803.09357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-local-minima-of-the-empirical-risk-1803.09357"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-hadamard-product-fusion-operators-for-visual-question-answering-1803.09374</loc><lastmod>2018-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-hadamard-product-fusion-operators-for-visual-question-answering-1803.09374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-hadamard-product-fusion-operators-for-visual-question-answering-1803.09374"/></url>
<url><loc>https://scifaro.com/en/abs/a-systematic-comparison-of-deep-learning-architectures-in-an-autonomous-vehicle-1803.09386</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-systematic-comparison-of-deep-learning-architectures-in-an-autonomous-vehicle-1803.09386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-systematic-comparison-of-deep-learning-architectures-in-an-autonomous-vehicle-1803.09386"/></url>
<url><loc>https://scifaro.com/en/abs/clipping-free-attacks-against-artificial-neural-networks-1803.09468</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clipping-free-attacks-against-artificial-neural-networks-1803.09468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clipping-free-attacks-against-artificial-neural-networks-1803.09468"/></url>
<url><loc>https://scifaro.com/en/abs/code2vec-learning-distributed-representations-of-code-1803.09473</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/code2vec-learning-distributed-representations-of-code-1803.09473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/code2vec-learning-distributed-representations-of-code-1803.09473"/></url>
<url><loc>https://scifaro.com/en/abs/fr-echet-chemnet-distance-a-metric-for-generative-models-for-molecules-in-drug-discovery-1803.09518</loc><lastmod>2018-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fr-echet-chemnet-distance-a-metric-for-generative-models-for-molecules-in-drug-discovery-1803.09518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fr-echet-chemnet-distance-a-metric-for-generative-models-for-molecules-in-drug-discovery-1803.09518"/></url>
<url><loc>https://scifaro.com/en/abs/a-provably-correct-algorithm-for-deep-learning-that-actually-works-1803.09522</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-provably-correct-algorithm-for-deep-learning-that-actually-works-1803.09522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-provably-correct-algorithm-for-deep-learning-that-actually-works-1803.09522"/></url>
<url><loc>https://scifaro.com/en/abs/why-comparing-single-performance-scores-does-not-allow-to-draw-conclusions-about-machine-learning-approaches-1803.09578</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-comparing-single-performance-scores-does-not-allow-to-draw-conclusions-about-machine-learning-approaches-1803.09578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-comparing-single-performance-scores-does-not-allow-to-draw-conclusions-about-machine-learning-approaches-1803.09578"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-multiple-traveling-salesmen-problem-with-permutation-invariant-pooling-networks-1803.09621</loc><lastmod>2019-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-multiple-traveling-salesmen-problem-with-permutation-invariant-pooling-networks-1803.09621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-multiple-traveling-salesmen-problem-with-permutation-invariant-pooling-networks-1803.09621"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-limitation-of-local-intrinsic-dimensionality-for-characterizing-the-subspaces-of-adversarial-examples-1803.09638</loc><lastmod>2018-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-limitation-of-local-intrinsic-dimensionality-for-characterizing-the-subspaces-of-adversarial-examples-1803.09638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-limitation-of-local-intrinsic-dimensionality-for-characterizing-the-subspaces-of-adversarial-examples-1803.09638"/></url>
<url><loc>https://scifaro.com/en/abs/flow-from-motion-a-deep-learning-approach-1803.09689</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flow-from-motion-a-deep-learning-approach-1803.09689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flow-from-motion-a-deep-learning-approach-1803.09689"/></url>
<url><loc>https://scifaro.com/en/abs/domain-transfer-convolutional-attribute-embedding-1803.09733</loc><lastmod>2018-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-transfer-convolutional-attribute-embedding-1803.09733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-transfer-convolutional-attribute-embedding-1803.09733"/></url>
<url><loc>https://scifaro.com/en/abs/djam-distributed-jacobi-asynchronous-method-for-learning-personal-models-1803.09737</loc><lastmod>2018-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/djam-distributed-jacobi-asynchronous-method-for-learning-personal-models-1803.09737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/djam-distributed-jacobi-asynchronous-method-for-learning-personal-models-1803.09737"/></url>
<url><loc>https://scifaro.com/en/abs/a-common-framework-for-natural-gradient-and-taylor-based-optimisation-using-manifold-theory-1803.09791</loc><lastmod>2018-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-common-framework-for-natural-gradient-and-taylor-based-optimisation-using-manifold-theory-1803.09791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-common-framework-for-natural-gradient-and-taylor-based-optimisation-using-manifold-theory-1803.09791"/></url>
<url><loc>https://scifaro.com/en/abs/a-disciplined-approach-to-neural-network-hyper-parameters-part-1-learning-rate-batch-size-momentum-and-weight-decay-1803.09820</loc><lastmod>2018-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-disciplined-approach-to-neural-network-hyper-parameters-part-1-learning-rate-batch-size-momentum-and-weight-decay-1803.09820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-disciplined-approach-to-neural-network-hyper-parameters-part-1-learning-rate-batch-size-momentum-and-weight-decay-1803.09820"/></url>
<url><loc>https://scifaro.com/en/abs/a-decision-tree-approach-to-predicting-recidivism-in-domestic-violence-1803.09862</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-decision-tree-approach-to-predicting-recidivism-in-domestic-violence-1803.09862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-decision-tree-approach-to-predicting-recidivism-in-domestic-violence-1803.09862"/></url>
<url><loc>https://scifaro.com/en/abs/mle-induced-likelihood-for-markov-random-fields-1803.09887</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mle-induced-likelihood-for-markov-random-fields-1803.09887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mle-induced-likelihood-for-markov-random-fields-1803.09887"/></url>
<url><loc>https://scifaro.com/en/abs/entropy-based-independent-learning-in-anonymous-multi-agent-settings-1803.09928</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropy-based-independent-learning-in-anonymous-multi-agent-settings-1803.09928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropy-based-independent-learning-in-anonymous-multi-agent-settings-1803.09928"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-fair-dynamic-pricing-1803.09967</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-fair-dynamic-pricing-1803.09967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-fair-dynamic-pricing-1803.09967"/></url>
<url><loc>https://scifaro.com/en/abs/hiding-in-the-crowd-a-massively-distributed-algorithm-for-private-averaging-with-malicious-adversaries-1803.09984</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hiding-in-the-crowd-a-massively-distributed-algorithm-for-private-averaging-with-malicious-adversaries-1803.09984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hiding-in-the-crowd-a-massively-distributed-algorithm-for-private-averaging-with-malicious-adversaries-1803.09984"/></url>
<url><loc>https://scifaro.com/en/abs/cross-validation-in-high-dimensional-spaces-a-lifeline-for-least-squares-models-and-multi-class-lda-1803.10016</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-validation-in-high-dimensional-spaces-a-lifeline-for-least-squares-models-and-multi-class-lda-1803.10016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-validation-in-high-dimensional-spaces-a-lifeline-for-least-squares-models-and-multi-class-lda-1803.10016"/></url>
<url><loc>https://scifaro.com/en/abs/fast-parametric-learning-with-activation-memorization-1803.10049</loc><lastmod>2018-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-parametric-learning-with-activation-memorization-1803.10049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-parametric-learning-with-activation-memorization-1803.10049"/></url>
<url><loc>https://scifaro.com/en/abs/world-models-1803.10122</loc><lastmod>2018-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/world-models-1803.10122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/world-models-1803.10122"/></url>
<url><loc>https://scifaro.com/en/abs/forward-backward-reinforcement-learning-1803.10227</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forward-backward-reinforcement-learning-1803.10227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forward-backward-reinforcement-learning-1803.10227"/></url>
<url><loc>https://scifaro.com/en/abs/demystifying-differentiable-programming-shift-reset-the-penultimate-backpropagator-1803.10228</loc><lastmod>2019-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-differentiable-programming-shift-reset-the-penultimate-backpropagator-1803.10228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-differentiable-programming-shift-reset-the-penultimate-backpropagator-1803.10228"/></url>
<url><loc>https://scifaro.com/en/abs/safe-end-to-end-imitation-learning-for-model-predictive-control-1803.10231</loc><lastmod>2019-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-end-to-end-imitation-learning-for-model-predictive-control-1803.10231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-end-to-end-imitation-learning-for-model-predictive-control-1803.10231"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-training-of-deep-convolutional-neural-networks-1803.10232</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-training-of-deep-convolutional-neural-networks-1803.10232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-training-of-deep-convolutional-neural-networks-1803.10232"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-prediction-1803.10266</loc><lastmod>2018-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-prediction-1803.10266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-prediction-1803.10266"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-clustering-techniques-and-hierarchical-matrix-formats-for-kernel-ridge-regression-1803.10274</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-clustering-techniques-and-hierarchical-matrix-formats-for-kernel-ridge-regression-1803.10274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-clustering-techniques-and-hierarchical-matrix-formats-for-kernel-ridge-regression-1803.10274"/></url>
<url><loc>https://scifaro.com/en/abs/canonical-correlation-analysis-of-datasets-with-a-common-source-graph-1803.10309</loc><lastmod>2018-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/canonical-correlation-analysis-of-datasets-with-a-common-source-graph-1803.10309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/canonical-correlation-analysis-of-datasets-with-a-common-source-graph-1803.10309"/></url>
<url><loc>https://scifaro.com/en/abs/how-developers-iterate-on-machine-learning-workflows-a-survey-of-the-applied-machine-learning-literature-1803.10311</loc><lastmod>2018-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-developers-iterate-on-machine-learning-workflows-a-survey-of-the-applied-machine-learning-literature-1803.10311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-developers-iterate-on-machine-learning-workflows-a-survey-of-the-applied-machine-learning-literature-1803.10311"/></url>
<url><loc>https://scifaro.com/en/abs/smoothed-online-convex-optimization-in-high-dimensions-via-online-balanced-descent-1803.10366</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothed-online-convex-optimization-in-high-dimensions-via-online-balanced-descent-1803.10366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothed-online-convex-optimization-in-high-dimensions-via-online-balanced-descent-1803.10366"/></url>
<url><loc>https://scifaro.com/en/abs/a-better-resource-allocation-algorithm-with-semi-bandit-feedback-1803.10415</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-better-resource-allocation-algorithm-with-semi-bandit-feedback-1803.10415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-better-resource-allocation-algorithm-with-semi-bandit-feedback-1803.10415"/></url>
<url><loc>https://scifaro.com/en/abs/joint-plda-for-simultaneous-modeling-of-two-factors-1803.10554</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-plda-for-simultaneous-modeling-of-two-factors-1803.10554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-plda-for-simultaneous-modeling-of-two-factors-1803.10554"/></url>
<url><loc>https://scifaro.com/en/abs/normalization-of-neural-networks-using-analytic-variance-propagation-1803.10560</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalization-of-neural-networks-using-analytic-variance-propagation-1803.10560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalization-of-neural-networks-using-analytic-variance-propagation-1803.10560"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-graphs-with-edge-detecting-queries-1803.10639</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-graphs-with-edge-detecting-queries-1803.10639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-graphs-with-edge-detecting-queries-1803.10639"/></url>
<url><loc>https://scifaro.com/en/abs/active-metric-learning-for-supervised-classification-1803.10647</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-metric-learning-for-supervised-classification-1803.10647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-metric-learning-for-supervised-classification-1803.10647"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-for-structured-regression-on-partially-observed-attributed-graphs-1803.10705</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-for-structured-regression-on-partially-observed-attributed-graphs-1803.10705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-for-structured-regression-on-partially-observed-attributed-graphs-1803.10705"/></url>
<url><loc>https://scifaro.com/en/abs/intertwiners-between-induced-representations-with-applications-to-the-theory-of-equivariant-neural-networks-1803.10743</loc><lastmod>2018-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intertwiners-between-induced-representations-with-applications-to-the-theory-of-equivariant-neural-networks-1803.10743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intertwiners-between-induced-representations-with-applications-to-the-theory-of-equivariant-neural-networks-1803.10743"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-predictive-memory-in-a-goal-directed-agent-1803.10760</loc><lastmod>2018-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-predictive-memory-in-a-goal-directed-agent-1803.10760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-predictive-memory-in-a-goal-directed-agent-1803.10760"/></url>
<url><loc>https://scifaro.com/en/abs/unreasonable-effectivness-of-deep-learning-1803.10768</loc><lastmod>2018-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unreasonable-effectivness-of-deep-learning-1803.10768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unreasonable-effectivness-of-deep-learning-1803.10768"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-customer-engagement-from-partial-observations-1803.10799</loc><lastmod>2018-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-customer-engagement-from-partial-observations-1803.10799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-customer-engagement-from-partial-observations-1803.10799"/></url>
<url><loc>https://scifaro.com/en/abs/supervising-feature-influence-1803.10815</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervising-feature-influence-1803.10815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervising-feature-influence-1803.10815"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-representations-with-probabilistic-knowledge-transfer-1803.10837</loc><lastmod>2019-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-representations-with-probabilistic-knowledge-transfer-1803.10837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-representations-with-probabilistic-knowledge-transfer-1803.10837"/></url>
<url><loc>https://scifaro.com/en/abs/non-convex-matrix-completion-against-a-semi-random-adversary-1803.10846</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-convex-matrix-completion-against-a-semi-random-adversary-1803.10846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-convex-matrix-completion-against-a-semi-random-adversary-1803.10846"/></url>
<url><loc>https://scifaro.com/en/abs/best-arm-identification-in-multi-armed-bandits-with-delayed-feedback-1803.10937</loc><lastmod>2018-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-arm-identification-in-multi-armed-bandits-with-delayed-feedback-1803.10937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-arm-identification-in-multi-armed-bandits-with-delayed-feedback-1803.10937"/></url>
<url><loc>https://scifaro.com/en/abs/modified-smote-using-mutual-information-and-different-sorts-of-entropies-1803.11002</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modified-smote-using-mutual-information-and-different-sorts-of-entropies-1803.11002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modified-smote-using-mutual-information-and-different-sorts-of-entropies-1803.11002"/></url>
<url><loc>https://scifaro.com/en/abs/cobras-fast-iterative-active-clustering-with-pairwise-constraints-1803.11060</loc><lastmod>2018-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cobras-fast-iterative-active-clustering-with-pairwise-constraints-1803.11060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cobras-fast-iterative-active-clustering-with-pairwise-constraints-1803.11060"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-traffic-light-control-in-vehicular-networks-1803.11115</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-traffic-light-control-in-vehicular-networks-1803.11115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-traffic-light-control-in-vehicular-networks-1803.11115"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-hamiltonian-monte-carlo-with-variance-reduction-for-bayesian-inference-1803.11159</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-hamiltonian-monte-carlo-with-variance-reduction-for-bayesian-inference-1803.11159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-hamiltonian-monte-carlo-with-variance-reduction-for-bayesian-inference-1803.11159"/></url>
<url><loc>https://scifaro.com/en/abs/memgen-memory-is-all-you-need-1803.11203</loc><lastmod>2018-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memgen-memory-is-all-you-need-1803.11203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memgen-memory-is-all-you-need-1803.11203"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-adapt-in-dynamic-real-world-environments-through-meta-reinforcement-learning-1803.11347</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-adapt-in-dynamic-real-world-environments-through-meta-reinforcement-learning-1803.11347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-adapt-in-dynamic-real-world-environments-through-meta-reinforcement-learning-1803.11347"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-generate-classifiers-1803.11373</loc><lastmod>2018-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-generate-classifiers-1803.11373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-generate-classifiers-1803.11373"/></url>
<url><loc>https://scifaro.com/en/abs/the-resistance-to-label-noise-in-k-nn-and-dnn-depends-on-its-concentration-1803.11410</loc><lastmod>2020-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-resistance-to-label-noise-in-k-nn-and-dnn-depends-on-its-concentration-1803.11410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-resistance-to-label-noise-in-k-nn-and-dnn-depends-on-its-concentration-1803.11410"/></url>
<url><loc>https://scifaro.com/en/abs/improving-confidence-while-predicting-trends-in-temporal-disease-networks-1803.11462</loc><lastmod>2018-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-confidence-while-predicting-trends-in-temporal-disease-networks-1803.11462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-confidence-while-predicting-trends-in-temporal-disease-networks-1803.11462"/></url>
<url><loc>https://scifaro.com/en/abs/qmix-monotonic-value-function-factorisation-for-deep-multi-agent-reinforcement-learning-1803.11485</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qmix-monotonic-value-function-factorisation-for-deep-multi-agent-reinforcement-learning-1803.11485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qmix-monotonic-value-function-factorisation-for-deep-multi-agent-reinforcement-learning-1803.11485"/></url>
<url><loc>https://scifaro.com/en/abs/substitute-teacher-networks-learning-with-almost-no-supervision-1803.11560</loc><lastmod>2018-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/substitute-teacher-networks-learning-with-almost-no-supervision-1803.11560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/substitute-teacher-networks-learning-with-almost-no-supervision-1803.11560"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-autoencoders-with-information-theoretic-concepts-1804.00057</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-autoencoders-with-information-theoretic-concepts-1804.00057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-autoencoders-with-information-theoretic-concepts-1804.00057"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-networks-gans-what-it-can-generate-and-what-it-cannot-1804.00140</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-networks-gans-what-it-can-generate-and-what-it-cannot-1804.00140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-networks-gans-what-it-can-generate-and-what-it-cannot-1804.00140"/></url>
<url><loc>https://scifaro.com/en/abs/houdini-lifelong-learning-as-program-synthesis-1804.00218</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/houdini-lifelong-learning-as-program-synthesis-1804.00218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/houdini-lifelong-learning-as-program-synthesis-1804.00218"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-update-rules-for-unsupervised-representation-learning-1804.00222</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-update-rules-for-unsupervised-representation-learning-1804.00222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-update-rules-for-unsupervised-representation-learning-1804.00222"/></url>
<url><loc>https://scifaro.com/en/abs/the-structure-transfer-machine-theory-and-applications-1804.00243</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-structure-transfer-machine-theory-and-applications-1804.00243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-structure-transfer-machine-theory-and-applications-1804.00243"/></url>
<url><loc>https://scifaro.com/en/abs/attentional-multilabel-learning-over-graphs-a-message-passing-approach-1804.00293</loc><lastmod>2018-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attentional-multilabel-learning-over-graphs-a-message-passing-approach-1804.00293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attentional-multilabel-learning-over-graphs-a-message-passing-approach-1804.00293"/></url>
<url><loc>https://scifaro.com/en/abs/aggregated-momentum-stability-through-passive-damping-1804.00325</loc><lastmod>2019-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregated-momentum-stability-through-passive-damping-1804.00325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregated-momentum-stability-through-passive-damping-1804.00325"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-graph-structured-feedback-against-adaptive-adversaries-1804.00335</loc><lastmod>2018-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-graph-structured-feedback-against-adaptive-adversaries-1804.00335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-graph-structured-feedback-against-adaptive-adversaries-1804.00335"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-run-challenge-solutions-adapting-reinforcement-learning-methods-for-neuromusculoskeletal-environments-1804.00361</loc><lastmod>2018-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-run-challenge-solutions-adapting-reinforcement-learning-methods-for-neuromusculoskeletal-environments-1804.00361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-run-challenge-solutions-adapting-reinforcement-learning-methods-for-neuromusculoskeletal-environments-1804.00361"/></url>
<url><loc>https://scifaro.com/en/abs/recall-traces-backtracking-models-for-efficient-reinforcement-learning-1804.00379</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recall-traces-backtracking-models-for-efficient-reinforcement-learning-1804.00379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recall-traces-backtracking-models-for-efficient-reinforcement-learning-1804.00379"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-kaldi-s-plda-implementation-1804.00403</loc><lastmod>2018-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-kaldi-s-plda-implementation-1804.00403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-kaldi-s-plda-implementation-1804.00403"/></url>
<url><loc>https://scifaro.com/en/abs/universal-planning-networks-1804.00645</loc><lastmod>2018-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-planning-networks-1804.00645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-planning-networks-1804.00645"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-deep-modeling-and-real-time-forecasting-of-sparse-spatio-temporal-data-1804.00684</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-deep-modeling-and-real-time-forecasting-of-sparse-spatio-temporal-data-1804.00684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-deep-modeling-and-real-time-forecasting-of-sparse-spatio-temporal-data-1804.00684"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-electric-vehicle-charging-station-usage-using-machine-learning-to-estimate-individual-station-statistics-from-physical-configurations-of-charging-station-networks-1804.00714</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-electric-vehicle-charging-station-usage-using-machine-learning-to-estimate-individual-station-statistics-from-physical-configurations-of-charging-station-networks-1804.00714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-electric-vehicle-charging-station-usage-using-machine-learning-to-estimate-individual-station-statistics-from-physical-configurations-of-charging-station-networks-1804.00714"/></url>
<url><loc>https://scifaro.com/en/abs/neural-autoregressive-flows-1804.00779</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-autoregressive-flows-1804.00779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-autoregressive-flows-1804.00779"/></url>
<url><loc>https://scifaro.com/en/abs/poison-frogs-targeted-clean-label-poisoning-attacks-on-neural-networks-1804.00792</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poison-frogs-targeted-clean-label-poisoning-attacks-on-neural-networks-1804.00792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poison-frogs-targeted-clean-label-poisoning-attacks-on-neural-networks-1804.00792"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-neural-networks-regularized-by-correlated-noise-1804.00815</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-neural-networks-regularized-by-correlated-noise-1804.00815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-neural-networks-regularized-by-correlated-noise-1804.00815"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-search-via-retrospective-imitation-1804.00846</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-search-via-retrospective-imitation-1804.00846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-search-via-retrospective-imitation-1804.00846"/></url>
<url><loc>https://scifaro.com/en/abs/design-design-inspiration-from-generative-networks-1804.00921</loc><lastmod>2018-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/design-design-inspiration-from-generative-networks-1804.00921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/design-design-inspiration-from-generative-networks-1804.00921"/></url>
<url><loc>https://scifaro.com/en/abs/correlated-discrete-data-generation-using-adversarial-training-1804.00925</loc><lastmod>2018-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlated-discrete-data-generation-using-adversarial-training-1804.00925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlated-discrete-data-generation-using-adversarial-training-1804.00925"/></url>
<url><loc>https://scifaro.com/en/abs/renewal-monte-carlo-renewal-theory-based-reinforcement-learning-1804.01116</loc><lastmod>2018-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/renewal-monte-carlo-renewal-theory-based-reinforcement-learning-1804.01116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/renewal-monte-carlo-renewal-theory-based-reinforcement-learning-1804.01116"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-in-weakly-coherent-matrices-1804.01119</loc><lastmod>2018-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-in-weakly-coherent-matrices-1804.01119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-in-weakly-coherent-matrices-1804.01119"/></url>
<url><loc>https://scifaro.com/en/abs/hospital-readmission-prediction-applying-hierarchical-sparsity-norms-for-interpretable-models-1804.01188</loc><lastmod>2018-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hospital-readmission-prediction-applying-hierarchical-sparsity-norms-for-interpretable-models-1804.01188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hospital-readmission-prediction-applying-hierarchical-sparsity-norms-for-interpretable-models-1804.01188"/></url>
<url><loc>https://scifaro.com/en/abs/tight-query-complexity-lower-bounds-for-pca-via-finite-sample-deformed-wigner-law-1804.01221</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-query-complexity-lower-bounds-for-pca-via-finite-sample-deformed-wigner-law-1804.01221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-query-complexity-lower-bounds-for-pca-via-finite-sample-deformed-wigner-law-1804.01221"/></url>
<url><loc>https://scifaro.com/en/abs/information-maximizing-exploration-with-a-latent-dynamics-model-1804.01238</loc><lastmod>2018-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-maximizing-exploration-with-a-latent-dynamics-model-1804.01238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-maximizing-exploration-with-a-latent-dynamics-model-1804.01238"/></url>
<url><loc>https://scifaro.com/en/abs/online-multi-label-classification-a-label-compression-method-1804.01491</loc><lastmod>2018-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-multi-label-classification-a-label-compression-method-1804.01491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-multi-label-classification-a-label-compression-method-1804.01491"/></url>
<url><loc>https://scifaro.com/en/abs/training-dnns-with-hybrid-block-floating-point-1804.01526</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-dnns-with-hybrid-block-floating-point-1804.01526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-dnns-with-hybrid-block-floating-point-1804.01526"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-formulations-of-regression-with-mixed-guidance-1804.01575</loc><lastmod>2018-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-formulations-of-regression-with-mixed-guidance-1804.01575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-formulations-of-regression-with-mixed-guidance-1804.01575"/></url>
<url><loc>https://scifaro.com/en/abs/review-of-deep-learning-1804.01653</loc><lastmod>2018-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/review-of-deep-learning-1804.01653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/review-of-deep-learning-1804.01653"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-classification-for-oil-reservoir-1804.01675</loc><lastmod>2018-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-classification-for-oil-reservoir-1804.01675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-classification-for-oil-reservoir-1804.01675"/></url>
<url><loc>https://scifaro.com/en/abs/using-a-classifier-ensemble-for-proactive-quality-monitoring-and-control-the-impact-of-the-choice-of-classifiers-types-selection-criterion-and-fusion-process-1804.01684</loc><lastmod>2018-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-a-classifier-ensemble-for-proactive-quality-monitoring-and-control-the-impact-of-the-choice-of-classifiers-types-selection-criterion-and-fusion-process-1804.01684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-a-classifier-ensemble-for-proactive-quality-monitoring-and-control-the-impact-of-the-choice-of-classifiers-types-selection-criterion-and-fusion-process-1804.01684"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-hospital-case-cost-prediction-models-using-azure-machine-learning-studio-1804.01825</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-hospital-case-cost-prediction-models-using-azure-machine-learning-studio-1804.01825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-hospital-case-cost-prediction-models-using-azure-machine-learning-studio-1804.01825"/></url>
<url><loc>https://scifaro.com/en/abs/a-large-scale-study-of-language-models-for-chord-prediction-1804.01849</loc><lastmod>2018-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-large-scale-study-of-language-models-for-chord-prediction-1804.01849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-large-scale-study-of-language-models-for-chord-prediction-1804.01849"/></url>
<url><loc>https://scifaro.com/en/abs/gosgd-distributed-optimization-for-deep-learning-with-gossip-exchange-1804.01852</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gosgd-distributed-optimization-for-deep-learning-with-gossip-exchange-1804.01852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gosgd-distributed-optimization-for-deep-learning-with-gossip-exchange-1804.01852"/></url>
<url><loc>https://scifaro.com/en/abs/a-human-mixed-strategy-approach-to-deep-reinforcement-learning-1804.01874</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-human-mixed-strategy-approach-to-deep-reinforcement-learning-1804.01874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-human-mixed-strategy-approach-to-deep-reinforcement-learning-1804.01874"/></url>
<url><loc>https://scifaro.com/en/abs/hyperbolic-entailment-cones-for-learning-hierarchical-embeddings-1804.01882</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperbolic-entailment-cones-for-learning-hierarchical-embeddings-1804.01882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperbolic-entailment-cones-for-learning-hierarchical-embeddings-1804.01882"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-local-online-similarity-distance-learning-framework-based-on-passive-aggressive-1804.01900</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-local-online-similarity-distance-learning-framework-based-on-passive-aggressive-1804.01900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-local-online-similarity-distance-learning-framework-based-on-passive-aggressive-1804.01900"/></url>
<url><loc>https://scifaro.com/en/abs/sliced-wasserstein-autoencoder-an-embarrassingly-simple-generative-model-1804.01947</loc><lastmod>2018-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sliced-wasserstein-autoencoder-an-embarrassingly-simple-generative-model-1804.01947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sliced-wasserstein-autoencoder-an-embarrassingly-simple-generative-model-1804.01947"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-cost-sensitive-online-classification-1804.02246</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-cost-sensitive-online-classification-1804.02246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-cost-sensitive-online-classification-1804.02246"/></url>
<url><loc>https://scifaro.com/en/abs/minimal-support-vector-machine-1804.02370</loc><lastmod>2018-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimal-support-vector-machine-1804.02370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimal-support-vector-machine-1804.02370"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-transportation-modes-from-gps-trajectories-using-a-convolutional-neural-network-1804.02386</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-transportation-modes-from-gps-trajectories-using-a-convolutional-neural-network-1804.02386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-transportation-modes-from-gps-trajectories-using-a-convolutional-neural-network-1804.02386"/></url>
<url><loc>https://scifaro.com/en/abs/structured-evolution-with-compact-architectures-for-scalable-policy-optimization-1804.02395</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-evolution-with-compact-architectures-for-scalable-policy-optimization-1804.02395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-evolution-with-compact-architectures-for-scalable-policy-optimization-1804.02395"/></url>
<url><loc>https://scifaro.com/en/abs/programmatically-interpretable-reinforcement-learning-1804.02477</loc><lastmod>2019-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/programmatically-interpretable-reinforcement-learning-1804.02477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/programmatically-interpretable-reinforcement-learning-1804.02477"/></url>
<url><loc>https://scifaro.com/en/abs/continuously-constructive-deep-neural-networks-1804.02491</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuously-constructive-deep-neural-networks-1804.02491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuously-constructive-deep-neural-networks-1804.02491"/></url>
<url><loc>https://scifaro.com/en/abs/language-modeling-with-generative-adversarial-networks-1804.02617</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/language-modeling-with-generative-adversarial-networks-1804.02617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/language-modeling-with-generative-adversarial-networks-1804.02617"/></url>
<url><loc>https://scifaro.com/en/abs/environmental-sound-recognition-using-masked-conditional-neural-networks-1804.02665</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/environmental-sound-recognition-using-masked-conditional-neural-networks-1804.02665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/environmental-sound-recognition-using-masked-conditional-neural-networks-1804.02665"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-prototype-based-drug-discovery-using-conditional-diversity-networks-1804.02668</loc><lastmod>2018-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-prototype-based-drug-discovery-using-conditional-diversity-networks-1804.02668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-prototype-based-drug-discovery-using-conditional-diversity-networks-1804.02668"/></url>
<url><loc>https://scifaro.com/en/abs/path-to-stochastic-stability-comparative-analysis-of-stochastic-learning-dynamics-in-games-1804.02693</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/path-to-stochastic-stability-comparative-analysis-of-stochastic-learning-dynamics-in-games-1804.02693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/path-to-stochastic-stability-comparative-analysis-of-stochastic-learning-dynamics-in-games-1804.02693"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-modular-reinforcement-learning-method-and-knowledge-acquisition-of-state-action-rule-for-multi-target-problem-1804.02698</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-modular-reinforcement-learning-method-and-knowledge-acquisition-of-state-action-rule-for-multi-target-problem-1804.02698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-modular-reinforcement-learning-method-and-knowledge-acquisition-of-state-action-rule-for-multi-target-problem-1804.02698"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-process-maps-from-event-streams-1804.02704</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-process-maps-from-event-streams-1804.02704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-process-maps-from-event-streams-1804.02704"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-non-linear-activation-functions-for-deep-neural-networks-on-mnist-classification-task-1804.02763</loc><lastmod>2018-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-non-linear-activation-functions-for-deep-neural-networks-on-mnist-classification-task-1804.02763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-non-linear-activation-functions-for-deep-neural-networks-on-mnist-classification-task-1804.02763"/></url>
<url><loc>https://scifaro.com/en/abs/latent-space-policies-for-hierarchical-reinforcement-learning-1804.02808</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-space-policies-for-hierarchical-reinforcement-learning-1804.02808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-space-policies-for-hierarchical-reinforcement-learning-1804.02808"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-for-industrial-big-data-1804.02998</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-for-industrial-big-data-1804.02998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-for-industrial-big-data-1804.02998"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-anomaly-detection-via-matrix-sketching-1804.03065</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-anomaly-detection-via-matrix-sketching-1804.03065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-anomaly-detection-via-matrix-sketching-1804.03065"/></url>
<url><loc>https://scifaro.com/en/abs/an-admm-based-universal-framework-for-adversarial-attacks-on-deep-neural-networks-1804.03193</loc><lastmod>2018-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-admm-based-universal-framework-for-adversarial-attacks-on-deep-neural-networks-1804.03193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-admm-based-universal-framework-for-adversarial-attacks-on-deep-neural-networks-1804.03193"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-distributed-neural-network-training-through-online-distillation-1804.03235</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-distributed-neural-network-training-through-online-distillation-1804.03235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-distributed-neural-network-training-through-online-distillation-1804.03235"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-active-survival-analysis-approach-for-precision-treatment-recommendations-application-of-prostate-cancer-1804.03280</loc><lastmod>2018-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-active-survival-analysis-approach-for-precision-treatment-recommendations-application-of-prostate-cancer-1804.03280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-active-survival-analysis-approach-for-precision-treatment-recommendations-application-of-prostate-cancer-1804.03280"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-versus-weight-decay-1804.03308</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-versus-weight-decay-1804.03308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-versus-weight-decay-1804.03308"/></url>
<url><loc>https://scifaro.com/en/abs/representation-tradeoffs-for-hyperbolic-embeddings-1804.03329</loc><lastmod>2018-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-tradeoffs-for-hyperbolic-embeddings-1804.03329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-tradeoffs-for-hyperbolic-embeddings-1804.03329"/></url>
<url><loc>https://scifaro.com/en/abs/tidbd-adapting-temporal-difference-step-sizes-through-stochastic-meta-descent-1804.03334</loc><lastmod>2018-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tidbd-adapting-temporal-difference-step-sizes-through-stochastic-meta-descent-1804.03334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tidbd-adapting-temporal-difference-step-sizes-through-stochastic-meta-descent-1804.03334"/></url>
<url><loc>https://scifaro.com/en/abs/learning-latent-events-from-network-message-logs-1804.03346</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-latent-events-from-network-message-logs-1804.03346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-latent-events-from-network-message-logs-1804.03346"/></url>
<url><loc>https://scifaro.com/en/abs/graphical-generative-adversarial-networks-1804.03429</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphical-generative-adversarial-networks-1804.03429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphical-generative-adversarial-networks-1804.03429"/></url>
<url><loc>https://scifaro.com/en/abs/towards-training-probabilistic-topic-models-on-neuromorphic-multi-chip-systems-1804.03578</loc><lastmod>2018-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-training-probabilistic-topic-models-on-neuromorphic-multi-chip-systems-1804.03578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-training-probabilistic-topic-models-on-neuromorphic-multi-chip-systems-1804.03578"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-prediction-of-vehicle-semantic-intention-and-motion-1804.03629</loc><lastmod>2018-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-prediction-of-vehicle-semantic-intention-and-motion-1804.03629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-prediction-of-vehicle-semantic-intention-and-motion-1804.03629"/></url>
<url><loc>https://scifaro.com/en/abs/gotta-learn-fast-a-new-benchmark-for-generalization-in-rl-1804.03720</loc><lastmod>2018-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gotta-learn-fast-a-new-benchmark-for-generalization-in-rl-1804.03720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gotta-learn-fast-a-new-benchmark-for-generalization-in-rl-1804.03720"/></url>
<url><loc>https://scifaro.com/en/abs/cot-cooperative-training-for-generative-modeling-of-discrete-data-1804.03782</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cot-cooperative-training-for-generative-modeling-of-discrete-data-1804.03782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cot-cooperative-training-for-generative-modeling-of-discrete-data-1804.03782"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-confidence-intervals-for-empirical-risk-minimization-1804.03794</loc><lastmod>2018-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-confidence-intervals-for-empirical-risk-minimization-1804.03794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-confidence-intervals-for-empirical-risk-minimization-1804.03794"/></url>
<url><loc>https://scifaro.com/en/abs/e-commerce-anomaly-detection-a-bayesian-semi-supervised-tensor-decomposition-approach-using-natural-gradients-1804.03836</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/e-commerce-anomaly-detection-a-bayesian-semi-supervised-tensor-decomposition-approach-using-natural-gradients-1804.03836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/e-commerce-anomaly-detection-a-bayesian-semi-supervised-tensor-decomposition-approach-using-natural-gradients-1804.03836"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-on-the-nonlinear-dynamics-of-deep-neural-networks-topological-entropy-and-chaos-1804.03987</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-on-the-nonlinear-dynamics-of-deep-neural-networks-topological-entropy-and-chaos-1804.03987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-on-the-nonlinear-dynamics-of-deep-neural-networks-topological-entropy-and-chaos-1804.03987"/></url>
<url><loc>https://scifaro.com/en/abs/dora-the-explorer-directed-outreaching-reinforcement-action-selection-1804.04012</loc><lastmod>2018-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dora-the-explorer-directed-outreaching-reinforcement-action-selection-1804.04012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dora-the-explorer-directed-outreaching-reinforcement-action-selection-1804.04012"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-self-driving-cars-on-twitter-1804.04058</loc><lastmod>2018-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-self-driving-cars-on-twitter-1804.04058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-self-driving-cars-on-twitter-1804.04058"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-dynamics-models-for-adaptive-assistive-navigation-systems-1804.04118</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-dynamics-models-for-adaptive-assistive-navigation-systems-1804.04118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-dynamics-models-for-adaptive-assistive-navigation-systems-1804.04118"/></url>
<url><loc>https://scifaro.com/en/abs/learning-topics-using-semantic-locality-1804.04205</loc><lastmod>2018-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-topics-using-semantic-locality-1804.04205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-topics-using-semantic-locality-1804.04205"/></url>
<url><loc>https://scifaro.com/en/abs/adafactor-adaptive-learning-rates-with-sublinear-memory-cost-1804.04235</loc><lastmod>2018-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adafactor-adaptive-learning-rates-with-sublinear-memory-cost-1804.04235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adafactor-adaptive-learning-rates-with-sublinear-memory-cost-1804.04235"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-motivated-by-partial-differential-equations-1804.04272</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-motivated-by-partial-differential-equations-1804.04272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-motivated-by-partial-differential-equations-1804.04272"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-greedy-column-subset-selection-1804.04421</loc><lastmod>2018-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-greedy-column-subset-selection-1804.04421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-greedy-column-subset-selection-1804.04421"/></url>
<url><loc>https://scifaro.com/en/abs/variational-composite-autoencoders-1804.04435</loc><lastmod>2018-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-composite-autoencoders-1804.04435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-composite-autoencoders-1804.04435"/></url>
<url><loc>https://scifaro.com/en/abs/unleashing-linear-optimizers-for-group-fair-learning-and-optimization-1804.04503</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unleashing-linear-optimizers-for-group-fair-learning-and-optimization-1804.04503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unleashing-linear-optimizers-for-group-fair-learning-and-optimization-1804.04503"/></url>
<url><loc>https://scifaro.com/en/abs/dll-a-blazing-fast-deep-neural-network-library-1804.04512</loc><lastmod>2018-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dll-a-blazing-fast-deep-neural-network-library-1804.04512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dll-a-blazing-fast-deep-neural-network-library-1804.04512"/></url>
<url><loc>https://scifaro.com/en/abs/online-convex-optimization-and-no-regret-learning-algorithms-guarantees-and-applications-1804.04529</loc><lastmod>2018-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-convex-optimization-and-no-regret-learning-algorithms-guarantees-and-applications-1804.04529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-convex-optimization-and-no-regret-learning-algorithms-guarantees-and-applications-1804.04529"/></url>
<url><loc>https://scifaro.com/en/abs/latent-geometry-inspired-graph-dissimilarities-enhance-affinity-propagation-community-detection-in-complex-networks-1804.04566</loc><lastmod>2018-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-geometry-inspired-graph-dissimilarities-enhance-affinity-propagation-community-detection-in-complex-networks-1804.04566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-geometry-inspired-graph-dissimilarities-enhance-affinity-propagation-community-detection-in-complex-networks-1804.04566"/></url>
<url><loc>https://scifaro.com/en/abs/feature-based-aggregation-and-deep-reinforcement-learning-a-survey-and-some-new-implementations-1804.04577</loc><lastmod>2018-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-based-aggregation-and-deep-reinforcement-learning-a-survey-and-some-new-implementations-1804.04577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-based-aggregation-and-deep-reinforcement-learning-a-survey-and-some-new-implementations-1804.04577"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-via-kernel-deviance-measures-1804.04622</loc><lastmod>2018-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-via-kernel-deviance-measures-1804.04622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-via-kernel-deviance-measures-1804.04622"/></url>
<url><loc>https://scifaro.com/en/abs/3d-g-cnns-for-pulmonary-nodule-detection-1804.04656</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/3d-g-cnns-for-pulmonary-nodule-detection-1804.04656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/3d-g-cnns-for-pulmonary-nodule-detection-1804.04656"/></url>
<url><loc>https://scifaro.com/en/abs/asynch-sgbdt-asynchronous-parallel-stochastic-gradient-boosting-decision-tree-based-on-parameters-server-1804.04659</loc><lastmod>2024-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynch-sgbdt-asynchronous-parallel-stochastic-gradient-boosting-decision-tree-based-on-parameters-server-1804.04659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynch-sgbdt-asynchronous-parallel-stochastic-gradient-boosting-decision-tree-based-on-parameters-server-1804.04659"/></url>
<url><loc>https://scifaro.com/en/abs/movi-a-model-free-approach-to-dynamic-fleet-management-1804.04758</loc><lastmod>2018-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/movi-a-model-free-approach-to-dynamic-fleet-management-1804.04758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/movi-a-model-free-approach-to-dynamic-fleet-management-1804.04758"/></url>
<url><loc>https://scifaro.com/en/abs/a-compact-network-learning-model-for-distribution-regression-1804.04775</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-compact-network-learning-model-for-distribution-regression-1804.04775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-compact-network-learning-model-for-distribution-regression-1804.04775"/></url>
<url><loc>https://scifaro.com/en/abs/mu-cudnn-accelerating-deep-learning-frameworks-with-micro-batching-1804.04806</loc><lastmod>2018-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mu-cudnn-accelerating-deep-learning-frameworks-with-micro-batching-1804.04806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mu-cudnn-accelerating-deep-learning-frameworks-with-micro-batching-1804.04806"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-and-interpretable-one-class-svms-with-deep-learning-and-random-fourier-features-1804.04888</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-and-interpretable-one-class-svms-with-deep-learning-and-random-fourier-features-1804.04888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-and-interpretable-one-class-svms-with-deep-learning-and-random-fourier-features-1804.04888"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-collaborative-hashing-and-its-applications-in-ant-financial-1804.04918</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-collaborative-hashing-and-its-applications-in-ant-financial-1804.04918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-collaborative-hashing-and-its-applications-in-ant-financial-1804.04918"/></url>
<url><loc>https://scifaro.com/en/abs/representing-smooth-functions-as-compositions-of-near-identity-functions-with-implications-for-deep-network-optimization-1804.05012</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representing-smooth-functions-as-compositions-of-near-identity-functions-with-implications-for-deep-network-optimization-1804.05012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representing-smooth-functions-as-compositions-of-near-identity-functions-with-implications-for-deep-network-optimization-1804.05012"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-singular-value-decomposition-and-application-to-recommender-system-1804.05090</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-singular-value-decomposition-and-application-to-recommender-system-1804.05090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-singular-value-decomposition-and-application-to-recommender-system-1804.05090"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-robust-feature-selection-method-using-variance-based-sensitivity-analysis-1804.05092</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-robust-feature-selection-method-using-variance-based-sensitivity-analysis-1804.05092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-robust-feature-selection-method-using-variance-based-sensitivity-analysis-1804.05092"/></url>
<url><loc>https://scifaro.com/en/abs/robust-dual-view-deep-agent-1804.05120</loc><lastmod>2018-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-dual-view-deep-agent-1804.05120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-dual-view-deep-agent-1804.05120"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-information-extraction-in-enriched-nonlinear-phase-space-1804.05170</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-information-extraction-in-enriched-nonlinear-phase-space-1804.05170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-information-extraction-in-enriched-nonlinear-phase-space-1804.05170"/></url>
<url><loc>https://scifaro.com/en/abs/an-interpretable-lstm-neural-network-for-autoregressive-exogenous-model-1804.05251</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-interpretable-lstm-neural-network-for-autoregressive-exogenous-model-1804.05251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-interpretable-lstm-neural-network-for-autoregressive-exogenous-model-1804.05251"/></url>
<url><loc>https://scifaro.com/en/abs/low-precision-floating-point-schemes-for-neural-network-training-1804.05267</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-precision-floating-point-schemes-for-neural-network-training-1804.05267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-precision-floating-point-schemes-for-neural-network-training-1804.05267"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-network-based-autoencoder-application-to-fault-detection-problem-for-closed-loop-dynamical-systems-1804.05320</loc><lastmod>2018-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-network-based-autoencoder-application-to-fault-detection-problem-for-closed-loop-dynamical-systems-1804.05320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-network-based-autoencoder-application-to-fault-detection-problem-for-closed-loop-dynamical-systems-1804.05320"/></url>
<url><loc>https://scifaro.com/en/abs/data-dependent-coresets-for-compressing-neural-networks-with-applications-to-generalization-bounds-1804.05345</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-dependent-coresets-for-compressing-neural-networks-with-applications-to-generalization-bounds-1804.05345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-dependent-coresets-for-compressing-neural-networks-with-applications-to-generalization-bounds-1804.05345"/></url>
<url><loc>https://scifaro.com/en/abs/on-gradient-based-learning-in-continuous-games-1804.05464</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-gradient-based-learning-in-continuous-games-1804.05464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-gradient-based-learning-in-continuous-games-1804.05464"/></url>
<url><loc>https://scifaro.com/en/abs/composable-unpaired-image-to-image-translation-1804.05470</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composable-unpaired-image-to-image-translation-1804.05470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composable-unpaired-image-to-image-translation-1804.05470"/></url>
<url><loc>https://scifaro.com/en/abs/a-direct-sum-result-for-the-information-complexity-of-learning-1804.05474</loc><lastmod>2018-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-direct-sum-result-for-the-information-complexity-of-learning-1804.05474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-direct-sum-result-for-the-information-complexity-of-learning-1804.05474"/></url>
<url><loc>https://scifaro.com/en/abs/block-mean-approximation-for-efficient-second-order-optimization-1804.05484</loc><lastmod>2022-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-mean-approximation-for-efficient-second-order-optimization-1804.05484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-mean-approximation-for-efficient-second-order-optimization-1804.05484"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-on-key-performance-indicators-for-predictive-maintenance-in-sap-hana-1804.05497</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-on-key-performance-indicators-for-predictive-maintenance-in-sap-hana-1804.05497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-on-key-performance-indicators-for-predictive-maintenance-in-sap-hana-1804.05497"/></url>
<url><loc>https://scifaro.com/en/abs/building-robust-prediction-models-for-defective-sensor-data-using-artificial-neural-networks-1804.05544</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-robust-prediction-models-for-defective-sensor-data-using-artificial-neural-networks-1804.05544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-robust-prediction-models-for-defective-sensor-data-using-artificial-neural-networks-1804.05544"/></url>
<url><loc>https://scifaro.com/en/abs/belief-a-distance-based-redundancy-proof-feature-selection-method-for-big-data-1804.05774</loc><lastmod>2018-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/belief-a-distance-based-redundancy-proof-feature-selection-method-for-big-data-1804.05774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/belief-a-distance-based-redundancy-proof-feature-selection-method-for-big-data-1804.05774"/></url>
<url><loc>https://scifaro.com/en/abs/global-robustness-evaluation-of-deep-neural-networks-with-provable-guarantees-for-the-l-0-norm-1804.05805</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-robustness-evaluation-of-deep-neural-networks-with-provable-guarantees-for-the-l-0-norm-1804.05805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-robustness-evaluation-of-deep-neural-networks-with-provable-guarantees-for-the-l-0-norm-1804.05805"/></url>
<url><loc>https://scifaro.com/en/abs/cytonrl-an-efficient-reinforcement-learning-open-source-toolkit-implemented-in-c-1804.05834</loc><lastmod>2018-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cytonrl-an-efficient-reinforcement-learning-open-source-toolkit-implemented-in-c-1804.05834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cytonrl-an-efficient-reinforcement-learning-open-source-toolkit-implemented-in-c-1804.05834"/></url>
<url><loc>https://scifaro.com/en/abs/ucboost-a-boosting-approach-to-tame-complexity-and-optimality-for-stochastic-bandits-1804.05929</loc><lastmod>2018-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ucboost-a-boosting-approach-to-tame-complexity-and-optimality-for-stochastic-bandits-1804.05929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ucboost-a-boosting-approach-to-tame-complexity-and-optimality-for-stochastic-bandits-1804.05929"/></url>
<url><loc>https://scifaro.com/en/abs/a-univariate-bound-of-area-under-roc-1804.05981</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-univariate-bound-of-area-under-roc-1804.05981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-univariate-bound-of-area-under-roc-1804.05981"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-linear-quadratic-control-via-reduction-to-expert-prediction-1804.06021</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-linear-quadratic-control-via-reduction-to-expert-prediction-1804.06021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-linear-quadratic-control-via-reduction-to-expert-prediction-1804.06021"/></url>
<url><loc>https://scifaro.com/en/abs/a-boosting-framework-of-factorization-machine-1804.06027</loc><lastmod>2018-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-boosting-framework-of-factorization-machine-1804.06027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-boosting-framework-of-factorization-machine-1804.06027"/></url>
<url><loc>https://scifaro.com/en/abs/parametric-models-for-mutual-kernel-matrix-completion-1804.06095</loc><lastmod>2018-12-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametric-models-for-mutual-kernel-matrix-completion-1804.06095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametric-models-for-mutual-kernel-matrix-completion-1804.06095"/></url>
<url><loc>https://scifaro.com/en/abs/a-support-tensor-train-machine-1804.06114</loc><lastmod>2018-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-support-tensor-train-machine-1804.06114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-support-tensor-train-machine-1804.06114"/></url>
<url><loc>https://scifaro.com/en/abs/vc-dimension-based-generalization-bounds-for-relational-learning-1804.06188</loc><lastmod>2018-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vc-dimension-based-generalization-bounds-for-relational-learning-1804.06188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vc-dimension-based-generalization-bounds-for-relational-learning-1804.06188"/></url>
<url><loc>https://scifaro.com/en/abs/metabags-bagged-meta-decision-trees-for-regression-1804.06207</loc><lastmod>2018-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metabags-bagged-meta-decision-trees-for-regression-1804.06207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metabags-bagged-meta-decision-trees-for-regression-1804.06207"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-correlation-reconstruction-with-missing-data-for-example-for-biology-inspired-neuron-1804.06218</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-correlation-reconstruction-with-missing-data-for-example-for-biology-inspired-neuron-1804.06218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-correlation-reconstruction-with-missing-data-for-example-for-biology-inspired-neuron-1804.06218"/></url>
<url><loc>https://scifaro.com/en/abs/predrnn-towards-a-resolution-of-the-deep-in-time-dilemma-in-spatiotemporal-predictive-learning-1804.06300</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predrnn-towards-a-resolution-of-the-deep-in-time-dilemma-in-spatiotemporal-predictive-learning-1804.06300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predrnn-towards-a-resolution-of-the-deep-in-time-dilemma-in-spatiotemporal-predictive-learning-1804.06300"/></url>
<url><loc>https://scifaro.com/en/abs/on-improving-deep-reinforcement-learning-for-pomdps-1804.06309</loc><lastmod>2018-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-improving-deep-reinforcement-learning-for-pomdps-1804.06309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-improving-deep-reinforcement-learning-for-pomdps-1804.06309"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-time-series-generators-1804.06352</loc><lastmod>2018-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-time-series-generators-1804.06352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-time-series-generators-1804.06352"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-selective-outlier-ensembles-1804.06378</loc><lastmod>2018-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-selective-outlier-ensembles-1804.06378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-selective-outlier-ensembles-1804.06378"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-clipping-approach-for-proximal-policy-optimization-1804.06461</loc><lastmod>2018-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-clipping-approach-for-proximal-policy-optimization-1804.06461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-clipping-approach-for-proximal-policy-optimization-1804.06461"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multimodal-subspace-clustering-networks-1804.06498</loc><lastmod>2025-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multimodal-subspace-clustering-networks-1804.06498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multimodal-subspace-clustering-networks-1804.06498"/></url>
<url><loc>https://scifaro.com/en/abs/two-player-games-for-efficient-non-convex-constrained-optimization-1804.06500</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-player-games-for-efficient-non-convex-constrained-optimization-1804.06500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-player-games-for-efficient-non-convex-constrained-optimization-1804.06500"/></url>
<url><loc>https://scifaro.com/en/abs/online-non-additive-path-learning-under-full-and-partial-information-1804.06518</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-non-additive-path-learning-under-full-and-partial-information-1804.06518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-non-additive-path-learning-under-full-and-partial-information-1804.06518"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-convolutional-neural-networks-with-information-theory-an-initial-exploration-1804.06537</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-convolutional-neural-networks-with-information-theory-an-initial-exploration-1804.06537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-convolutional-neural-networks-with-information-theory-an-initial-exploration-1804.06537"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-networks-for-sequence-prediction-1804.06546</loc><lastmod>2018-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-networks-for-sequence-prediction-1804.06546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-networks-for-sequence-prediction-1804.06546"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-neural-networks-and-individual-neuron-importance-via-information-ordered-cumulative-ablation-1804.06679</loc><lastmod>2022-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-neural-networks-and-individual-neuron-importance-via-information-ordered-cumulative-ablation-1804.06679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-neural-networks-and-individual-neuron-importance-via-information-ordered-cumulative-ablation-1804.06679"/></url>
<url><loc>https://scifaro.com/en/abs/are-resnets-provably-better-than-linear-predictors-1804.06739</loc><lastmod>2018-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-resnets-provably-better-than-linear-predictors-1804.06739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-resnets-provably-better-than-linear-predictors-1804.06739"/></url>
<url><loc>https://scifaro.com/en/abs/exact-distributed-training-random-forest-with-billions-of-examples-1804.06755</loc><lastmod>2018-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-distributed-training-random-forest-with-billions-of-examples-1804.06755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-distributed-training-random-forest-with-billions-of-examples-1804.06755"/></url>
<url><loc>https://scifaro.com/en/abs/improving-long-horizon-forecasts-with-expectation-biased-lstm-networks-1804.06776</loc><lastmod>2018-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-long-horizon-forecasts-with-expectation-biased-lstm-networks-1804.06776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-long-horizon-forecasts-with-expectation-biased-lstm-networks-1804.06776"/></url>
<url><loc>https://scifaro.com/en/abs/active-choice-of-teachers-learning-strategies-and-goals-for-a-socially-guided-intrinsic-motivation-learner-1804.06819</loc><lastmod>2019-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-choice-of-teachers-learning-strategies-and-goals-for-a-socially-guided-intrinsic-motivation-learner-1804.06819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-choice-of-teachers-learning-strategies-and-goals-for-a-socially-guided-intrinsic-motivation-learner-1804.06819"/></url>
<url><loc>https://scifaro.com/en/abs/co-teaching-robust-training-of-deep-neural-networks-with-extremely-noisy-labels-1804.06872</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-teaching-robust-training-of-deep-neural-networks-with-extremely-noisy-labels-1804.06872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-teaching-robust-training-of-deep-neural-networks-with-extremely-noisy-labels-1804.06872"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-on-overfitting-in-deep-reinforcement-learning-1804.06893</loc><lastmod>2018-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-on-overfitting-in-deep-reinforcement-learning-1804.06893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-on-overfitting-in-deep-reinforcement-learning-1804.06893"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-task-selected-learning-approach-for-solving-3d-flexible-bin-packing-problem-1804.06896</loc><lastmod>2019-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-task-selected-learning-approach-for-solving-3d-flexible-bin-packing-problem-1804.06896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-task-selected-learning-approach-for-solving-3d-flexible-bin-packing-problem-1804.06896"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-and-simultaneously-removing-bias-via-adversarial-neural-networks-1804.06909</loc><lastmod>2018-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-and-simultaneously-removing-bias-via-adversarial-neural-networks-1804.06909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-and-simultaneously-removing-bias-via-adversarial-neural-networks-1804.06909"/></url>
<url><loc>https://scifaro.com/en/abs/k-nearest-oracles-borderline-dynamic-classifier-ensemble-selection-1804.06943</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-nearest-oracles-borderline-dynamic-classifier-ensemble-selection-1804.06943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-nearest-oracles-borderline-dynamic-classifier-ensemble-selection-1804.06943"/></url>
<url><loc>https://scifaro.com/en/abs/semantic-adversarial-deep-learning-1804.07045</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantic-adversarial-deep-learning-1804.07045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantic-adversarial-deep-learning-1804.07045"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-via-deep-low-rank-representations-1804.07090</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-via-deep-low-rank-representations-1804.07090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-via-deep-low-rank-representations-1804.07090"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-attribute-aware-network-embedding-with-locality-1804.07152</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-attribute-aware-network-embedding-with-locality-1804.07152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-attribute-aware-network-embedding-with-locality-1804.07152"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-nonlinear-variable-selection-via-kernel-random-features-1804.07169</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-nonlinear-variable-selection-via-kernel-random-features-1804.07169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-nonlinear-variable-selection-via-kernel-random-features-1804.07169"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitz-continuity-in-model-based-reinforcement-learning-1804.07193</loc><lastmod>2018-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitz-continuity-in-model-based-reinforcement-learning-1804.07193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitz-continuity-in-model-based-reinforcement-learning-1804.07193"/></url>
<url><loc>https://scifaro.com/en/abs/a-sequential-sampling-strategy-for-extreme-event-statistics-in-nonlinear-dynamical-systems-1804.07240</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sequential-sampling-strategy-for-extreme-event-statistics-in-nonlinear-dynamical-systems-1804.07240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sequential-sampling-strategy-for-extreme-event-statistics-in-nonlinear-dynamical-systems-1804.07240"/></url>
<url><loc>https://scifaro.com/en/abs/deep-transfer-network-with-joint-distribution-adaptation-a-new-intelligent-fault-diagnosis-framework-for-industry-application-1804.07265</loc><lastmod>2019-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-transfer-network-with-joint-distribution-adaptation-a-new-intelligent-fault-diagnosis-framework-for-industry-application-1804.07265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-transfer-network-with-joint-distribution-adaptation-a-new-intelligent-fault-diagnosis-framework-for-industry-application-1804.07265"/></url>
<url><loc>https://scifaro.com/en/abs/deep-dynamic-boosted-forest-1804.07270</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-dynamic-boosted-forest-1804.07270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-dynamic-boosted-forest-1804.07270"/></url>
<url><loc>https://scifaro.com/en/abs/deep-triplet-ranking-networks-for-one-shot-recognition-1804.07275</loc><lastmod>2018-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-triplet-ranking-networks-for-one-shot-recognition-1804.07275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-triplet-ranking-networks-for-one-shot-recognition-1804.07275"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-stochastic-compositional-gradient-descent-for-q-learning-in-continuous-markov-decision-problems-1804.07323</loc><lastmod>2018-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-stochastic-compositional-gradient-descent-for-q-learning-in-continuous-markov-decision-problems-1804.07323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-stochastic-compositional-gradient-descent-for-q-learning-in-continuous-markov-decision-problems-1804.07323"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-free-uncertainty-estimation-in-gated-recurrent-units-with-exponential-families-1804.07351</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-free-uncertainty-estimation-in-gated-recurrent-units-with-exponential-families-1804.07351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-free-uncertainty-estimation-in-gated-recurrent-units-with-exponential-families-1804.07351"/></url>
<url><loc>https://scifaro.com/en/abs/gritnet-student-performance-prediction-with-deep-learning-1804.07405</loc><lastmod>2018-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gritnet-student-performance-prediction-with-deep-learning-1804.07405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gritnet-student-performance-prediction-with-deep-learning-1804.07405"/></url>
<url><loc>https://scifaro.com/en/abs/an-ensemble-generation-method-based-on-instance-hardness-1804.07419</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-ensemble-generation-method-based-on-instance-hardness-1804.07419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-ensemble-generation-method-based-on-instance-hardness-1804.07419"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-active-learning-strategies-for-real-life-credit-card-fraud-detection-assessment-and-visualization-1804.07481</loc><lastmod>2018-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-active-learning-strategies-for-real-life-credit-card-fraud-detection-assessment-and-visualization-1804.07481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-active-learning-strategies-for-real-life-credit-card-fraud-detection-assessment-and-visualization-1804.07481"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-scalable-learning-of-complex-dataset-topologies-via-elpigraph-1804.07580</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-scalable-learning-of-complex-dataset-topologies-via-elpigraph-1804.07580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-scalable-learning-of-complex-dataset-topologies-via-elpigraph-1804.07580"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-small-batch-training-for-deep-neural-networks-1804.07612</loc><lastmod>2018-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-small-batch-training-for-deep-neural-networks-1804.07612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-small-batch-training-for-deep-neural-networks-1804.07612"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-customer-online-behaviours-with-neural-networks-applications-to-conversion-prediction-and-advertising-retargeting-1804.07669</loc><lastmod>2018-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-customer-online-behaviours-with-neural-networks-applications-to-conversion-prediction-and-advertising-retargeting-1804.07669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-customer-online-behaviours-with-neural-networks-applications-to-conversion-prediction-and-advertising-retargeting-1804.07669"/></url>
<url><loc>https://scifaro.com/en/abs/learning-more-robust-features-with-adversarial-training-1804.07757</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-more-robust-features-with-adversarial-training-1804.07757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-more-robust-features-with-adversarial-training-1804.07757"/></url>
<url><loc>https://scifaro.com/en/abs/mapping-images-to-psychological-similarity-spaces-using-neural-networks-1804.07758</loc><lastmod>2019-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mapping-images-to-psychological-similarity-spaces-using-neural-networks-1804.07758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mapping-images-to-psychological-similarity-spaces-using-neural-networks-1804.07758"/></url>
<url><loc>https://scifaro.com/en/abs/a-self-paced-regularization-framework-for-partial-label-learning-1804.07759</loc><lastmod>2018-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-self-paced-regularization-framework-for-partial-label-learning-1804.07759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-self-paced-regularization-framework-for-partial-label-learning-1804.07759"/></url>
<url><loc>https://scifaro.com/en/abs/peorl-integrating-symbolic-planning-and-hierarchical-reinforcement-learning-for-robust-decision-making-1804.07779</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/peorl-integrating-symbolic-planning-and-hierarchical-reinforcement-learning-for-robust-decision-making-1804.07779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/peorl-integrating-symbolic-planning-and-hierarchical-reinforcement-learning-for-robust-decision-making-1804.07779"/></url>
<url><loc>https://scifaro.com/en/abs/autotune-a-derivative-free-optimization-framework-for-hyperparameter-tuning-1804.07824</loc><lastmod>2018-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autotune-a-derivative-free-optimization-framework-for-hyperparameter-tuning-1804.07824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autotune-a-derivative-free-optimization-framework-for-hyperparameter-tuning-1804.07824"/></url>
<url><loc>https://scifaro.com/en/abs/online-improper-learning-with-an-approximation-oracle-1804.07837</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-improper-learning-with-an-approximation-oracle-1804.07837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-improper-learning-with-an-approximation-oracle-1804.07837"/></url>
<url><loc>https://scifaro.com/en/abs/cactusnets-layer-applicability-as-a-metric-for-transfer-learning-1804.07846</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cactusnets-layer-applicability-as-a-metric-for-transfer-learning-1804.07846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cactusnets-layer-applicability-as-a-metric-for-transfer-learning-1804.07846"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-masking-causes-clever-to-overestimate-adversarial-perturbation-size-1804.07870</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-masking-causes-clever-to-overestimate-adversarial-perturbation-size-1804.07870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-masking-causes-clever-to-overestimate-adversarial-perturbation-size-1804.07870"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-approach-for-forecasting-air-pollution-in-south-korea-using-lstm-1804.07891</loc><lastmod>2018-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-approach-for-forecasting-air-pollution-in-south-korea-using-lstm-1804.07891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-approach-for-forecasting-air-pollution-in-south-korea-using-lstm-1804.07891"/></url>
<url><loc>https://scifaro.com/en/abs/is-feature-selection-secure-against-training-data-poisoning-1804.07933</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-feature-selection-secure-against-training-data-poisoning-1804.07933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-feature-selection-secure-against-training-data-poisoning-1804.07933"/></url>
<url><loc>https://scifaro.com/en/abs/mqgrad-reinforcement-learning-of-gradient-quantization-in-parameter-server-1804.08066</loc><lastmod>2018-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mqgrad-reinforcement-learning-of-gradient-quantization-in-parameter-server-1804.08066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mqgrad-reinforcement-learning-of-gradient-quantization-in-parameter-server-1804.08066"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-performance-assessment-for-drivers-through-behavioral-advantage-1804.08219</loc><lastmod>2018-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-performance-assessment-for-drivers-through-behavioral-advantage-1804.08219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-performance-assessment-for-drivers-through-behavioral-advantage-1804.08219"/></url>
<url><loc>https://scifaro.com/en/abs/n-fold-superposition-improving-neural-networks-by-reducing-the-noise-in-feature-maps-1804.08233</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/n-fold-superposition-improving-neural-networks-by-reducing-the-noise-in-feature-maps-1804.08233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/n-fold-superposition-improving-neural-networks-by-reducing-the-noise-in-feature-maps-1804.08233"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-material-synthesis-1804.08369</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-material-synthesis-1804.08369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-material-synthesis-1804.08369"/></url>
<url><loc>https://scifaro.com/en/abs/path-planning-in-support-of-smart-mobility-applications-using-generative-adversarial-networks-1804.08396</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/path-planning-in-support-of-smart-mobility-applications-using-generative-adversarial-networks-1804.08396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/path-planning-in-support-of-smart-mobility-applications-using-generative-adversarial-networks-1804.08396"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-neural-networks-for-space-time-series-forecasting-and-relations-discovery-1804.08562</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-neural-networks-for-space-time-series-forecasting-and-relations-discovery-1804.08562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-neural-networks-for-space-time-series-forecasting-and-relations-discovery-1804.08562"/></url>
<url><loc>https://scifaro.com/en/abs/towards-symbolic-reinforcement-learning-with-common-sense-1804.08597</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-symbolic-reinforcement-learning-with-common-sense-1804.08597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-symbolic-reinforcement-learning-with-common-sense-1804.08597"/></url>
<url><loc>https://scifaro.com/en/abs/towards-learning-sparsely-used-dictionaries-with-arbitrary-supports-1804.08603</loc><lastmod>2018-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-learning-sparsely-used-dictionaries-with-arbitrary-supports-1804.08603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-learning-sparsely-used-dictionaries-with-arbitrary-supports-1804.08603"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-visual-imitation-1804.08606</loc><lastmod>2018-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-visual-imitation-1804.08606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-visual-imitation-1804.08606"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-projective-simulation-in-navigation-problems-1804.08607</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-projective-simulation-in-navigation-problems-1804.08607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-projective-simulation-in-navigation-problems-1804.08607"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-transfer-unit-for-deep-neural-networks-1804.08613</loc><lastmod>2018-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-transfer-unit-for-deep-neural-networks-1804.08613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-transfer-unit-for-deep-neural-networks-1804.08613"/></url>
<url><loc>https://scifaro.com/en/abs/qsar-classification-modeling-for-bioactivity-of-molecular-structure-via-spl-logsum-1804.08615</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qsar-classification-modeling-for-bioactivity-of-molecular-structure-via-spl-logsum-1804.08615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qsar-classification-modeling-for-bioactivity-of-molecular-structure-via-spl-logsum-1804.08615"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-distributional-deterministic-policy-gradients-1804.08617</loc><lastmod>2018-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-distributional-deterministic-policy-gradients-1804.08617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-distributional-deterministic-policy-gradients-1804.08617"/></url>
<url><loc>https://scifaro.com/en/abs/state-distribution-aware-sampling-for-deep-q-learning-1804.08619</loc><lastmod>2018-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-distribution-aware-sampling-for-deep-q-learning-1804.08619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-distribution-aware-sampling-for-deep-q-learning-1804.08619"/></url>
<url><loc>https://scifaro.com/en/abs/crawling-in-rogue-s-dungeons-with-partitioned-a3c-1804.08685</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crawling-in-rogue-s-dungeons-with-partitioned-a3c-1804.08685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crawling-in-rogue-s-dungeons-with-partitioned-a3c-1804.08685"/></url>
<url><loc>https://scifaro.com/en/abs/neural-brane-neural-bayesian-personalized-ranking-for-attributed-network-embedding-1804.08774</loc><lastmod>2018-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-brane-neural-bayesian-personalized-ranking-for-attributed-network-embedding-1804.08774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-brane-neural-bayesian-personalized-ranking-for-attributed-network-embedding-1804.08774"/></url>
<url><loc>https://scifaro.com/en/abs/structured-sumcor-multiview-canonical-correlation-analysis-for-large-scale-data-1804.08806</loc><lastmod>2018-12-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-sumcor-multiview-canonical-correlation-analysis-for-large-scale-data-1804.08806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-sumcor-multiview-canonical-correlation-analysis-for-large-scale-data-1804.08806"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-the-intrinsic-dimension-of-objective-landscapes-1804.08838</loc><lastmod>2018-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-the-intrinsic-dimension-of-objective-landscapes-1804.08838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-the-intrinsic-dimension-of-objective-landscapes-1804.08838"/></url>
<url><loc>https://scifaro.com/en/abs/estimate-and-replace-a-novel-approach-to-integrating-deep-neural-networks-with-existing-applications-1804.09028</loc><lastmod>2018-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimate-and-replace-a-novel-approach-to-integrating-deep-neural-networks-with-existing-applications-1804.09028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimate-and-replace-a-novel-approach-to-integrating-deep-neural-networks-with-existing-applications-1804.09028"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-content-based-detection-of-misinformation-via-tensor-embeddings-1804.09088</loc><lastmod>2018-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-content-based-detection-of-misinformation-via-tensor-embeddings-1804.09088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-content-based-detection-of-misinformation-via-tensor-embeddings-1804.09088"/></url>
<url><loc>https://scifaro.com/en/abs/improving-native-ads-ctr-prediction-by-large-scale-event-embedding-and-recurrent-networks-1804.09133</loc><lastmod>2023-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-native-ads-ctr-prediction-by-large-scale-event-embedding-and-recurrent-networks-1804.09133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-native-ads-ctr-prediction-by-large-scale-event-embedding-and-recurrent-networks-1804.09133"/></url>
<url><loc>https://scifaro.com/en/abs/doom-level-generation-using-generative-adversarial-networks-1804.09154</loc><lastmod>2026-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doom-level-generation-using-generative-adversarial-networks-1804.09154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doom-level-generation-using-generative-adversarial-networks-1804.09154"/></url>
<url><loc>https://scifaro.com/en/abs/realistic-evaluation-of-deep-semi-supervised-learning-algorithms-1804.09170</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/realistic-evaluation-of-deep-semi-supervised-learning-algorithms-1804.09170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/realistic-evaluation-of-deep-semi-supervised-learning-algorithms-1804.09170"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-with-declaratively-specified-entropy-constraints-1804.09238</loc><lastmod>2018-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-with-declaratively-specified-entropy-constraints-1804.09238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-with-declaratively-specified-entropy-constraints-1804.09238"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-gaussian-kernel-adaptive-filtering-1804.09348</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-gaussian-kernel-adaptive-filtering-1804.09348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-gaussian-kernel-adaptive-filtering-1804.09348"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-generative-adversarial-networks-with-binary-neurons-for-polyphonic-music-generation-1804.09399</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-generative-adversarial-networks-with-binary-neurons-for-polyphonic-music-generation-1804.09399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-generative-adversarial-networks-with-binary-neurons-for-polyphonic-music-generation-1804.09399"/></url>
<url><loc>https://scifaro.com/en/abs/structured-pruning-for-efficient-convnets-via-incremental-regularization-1804.09461</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-pruning-for-efficient-convnets-via-incremental-regularization-1804.09461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-pruning-for-efficient-convnets-via-incremental-regularization-1804.09461"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-disentangled-representation-learning-with-analogical-relations-1804.09502</loc><lastmod>2018-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-disentangled-representation-learning-with-analogical-relations-1804.09502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-disentangled-representation-learning-with-analogical-relations-1804.09502"/></url>
<url><loc>https://scifaro.com/en/abs/when-is-there-a-representer-theorem-nondifferentiable-regularisers-and-banach-spaces-1804.09605</loc><lastmod>2018-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-is-there-a-representer-theorem-nondifferentiable-regularisers-and-banach-spaces-1804.09605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-is-there-a-representer-theorem-nondifferentiable-regularisers-and-banach-spaces-1804.09605"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-and-alleviating-concept-drift-in-streaming-tensor-decomposition-1804.09619</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-and-alleviating-concept-drift-in-streaming-tensor-decomposition-1804.09619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-and-alleviating-concept-drift-in-streaming-tensor-decomposition-1804.09619"/></url>
<url><loc>https://scifaro.com/en/abs/rulls-randomized-union-of-locally-linear-subspaces-for-feature-engineering-1804.09770</loc><lastmod>2018-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rulls-randomized-union-of-locally-linear-subspaces-for-feature-engineering-1804.09770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rulls-randomized-union-of-locally-linear-subspaces-for-feature-engineering-1804.09770"/></url>
<url><loc>https://scifaro.com/en/abs/hg-means-a-scalable-hybrid-genetic-algorithm-for-minimum-sum-of-squares-clustering-1804.09813</loc><lastmod>2018-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hg-means-a-scalable-hybrid-genetic-algorithm-for-minimum-sum-of-squares-clustering-1804.09813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hg-means-a-scalable-hybrid-genetic-algorithm-for-minimum-sum-of-squares-clustering-1804.09813"/></url>
<url><loc>https://scifaro.com/en/abs/generative-model-for-heterogeneous-inference-1804.09858</loc><lastmod>2018-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-model-for-heterogeneous-inference-1804.09858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-model-for-heterogeneous-inference-1804.09858"/></url>
<url><loc>https://scifaro.com/en/abs/competitive-learning-enriches-learning-representation-and-accelerates-the-fine-tuning-of-cnns-1804.09859</loc><lastmod>2018-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/competitive-learning-enriches-learning-representation-and-accelerates-the-fine-tuning-of-cnns-1804.09859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/competitive-learning-enriches-learning-representation-and-accelerates-the-fine-tuning-of-cnns-1804.09859"/></url>
<url><loc>https://scifaro.com/en/abs/random-fourier-features-for-kernel-ridge-regression-approximation-bounds-and-statistical-guarantees-1804.09893</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-fourier-features-for-kernel-ridge-regression-approximation-bounds-and-statistical-guarantees-1804.09893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-fourier-features-for-kernel-ridge-regression-approximation-bounds-and-statistical-guarantees-1804.09893"/></url>
<url><loc>https://scifaro.com/en/abs/extended-vertical-lists-for-temporal-pattern-mining-from-multivariate-time-series-1804.10025</loc><lastmod>2018-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extended-vertical-lists-for-temporal-pattern-mining-from-multivariate-time-series-1804.10025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extended-vertical-lists-for-temporal-pattern-mining-from-multivariate-time-series-1804.10025"/></url>
<url><loc>https://scifaro.com/en/abs/quantized-compressive-k-means-1804.10109</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantized-compressive-k-means-1804.10109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantized-compressive-k-means-1804.10109"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-psychotherapy-dialogues-with-kernelized-hashcode-representations-a-nonparametric-information-theoretic-approach-1804.10188</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-psychotherapy-dialogues-with-kernelized-hashcode-representations-a-nonparametric-information-theoretic-approach-1804.10188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-psychotherapy-dialogues-with-kernelized-hashcode-representations-a-nonparametric-information-theoretic-approach-1804.10188"/></url>
<url><loc>https://scifaro.com/en/abs/the-loss-landscape-of-overparameterized-neural-networks-1804.10200</loc><lastmod>2018-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-loss-landscape-of-overparameterized-neural-networks-1804.10200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-loss-landscape-of-overparameterized-neural-networks-1804.10200"/></url>
<url><loc>https://scifaro.com/en/abs/network-transplanting-1804.10272</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-transplanting-1804.10272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-transplanting-1804.10272"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-sensing-for-learning-nonstationary-environment-models-1804.10279</loc><lastmod>2018-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-sensing-for-learning-nonstationary-environment-models-1804.10279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-sensing-for-learning-nonstationary-environment-models-1804.10279"/></url>
<url><loc>https://scifaro.com/en/abs/efficiently-learning-nonstationary-gaussian-processes-for-real-world-impact-1804.10318</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiently-learning-nonstationary-gaussian-processes-for-real-world-impact-1804.10318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiently-learning-nonstationary-gaussian-processes-for-real-world-impact-1804.10318"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bilinear-pi-learning-using-state-and-action-features-1804.10328</loc><lastmod>2018-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bilinear-pi-learning-using-state-and-action-features-1804.10328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bilinear-pi-learning-using-state-and-action-features-1804.10328"/></url>
<url><loc>https://scifaro.com/en/abs/offline-evaluation-of-ranking-policies-with-click-models-1804.10488</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-evaluation-of-ranking-policies-with-click-models-1804.10488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-evaluation-of-ranking-policies-with-click-models-1804.10488"/></url>
<url><loc>https://scifaro.com/en/abs/learning-non-stationary-space-time-models-for-environmental-monitoring-1804.10535</loc><lastmod>2018-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-non-stationary-space-time-models-for-environmental-monitoring-1804.10535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-non-stationary-space-time-models-for-environmental-monitoring-1804.10535"/></url>
<url><loc>https://scifaro.com/en/abs/decoupled-parallel-backpropagation-with-convergence-guarantee-1804.10574</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupled-parallel-backpropagation-with-convergence-guarantee-1804.10574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupled-parallel-backpropagation-with-convergence-guarantee-1804.10574"/></url>
<url><loc>https://scifaro.com/en/abs/an-improvement-of-the-convergence-proof-of-the-adam-optimizer-1804.10587</loc><lastmod>2018-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improvement-of-the-convergence-proof-of-the-adam-optimizer-1804.10587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improvement-of-the-convergence-proof-of-the-adam-optimizer-1804.10587"/></url>
<url><loc>https://scifaro.com/en/abs/decoupling-dynamics-and-reward-for-transfer-learning-1804.10689</loc><lastmod>2018-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupling-dynamics-and-reward-for-transfer-learning-1804.10689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupling-dynamics-and-reward-for-transfer-learning-1804.10689"/></url>
<url><loc>https://scifaro.com/en/abs/negative-log-likelihood-ratio-loss-for-deep-neural-network-classification-1804.10690</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/negative-log-likelihood-ratio-loss-for-deep-neural-network-classification-1804.10690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/negative-log-likelihood-ratio-loss-for-deep-neural-network-classification-1804.10690"/></url>
<url><loc>https://scifaro.com/en/abs/novel-prediction-techniques-based-on-clusterwise-linear-regression-1804.10742</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novel-prediction-techniques-based-on-clusterwise-linear-regression-1804.10742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novel-prediction-techniques-based-on-clusterwise-linear-regression-1804.10742"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-across-domains-via-cross-gradient-training-1804.10745</loc><lastmod>2018-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-across-domains-via-cross-gradient-training-1804.10745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-across-domains-via-cross-gradient-training-1804.10745"/></url>
<url><loc>https://scifaro.com/en/abs/multi-layered-parallel-graph-convolutional-network-ml-pgcn-for-disease-prediction-1804.10776</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-layered-parallel-graph-convolutional-network-ml-pgcn-for-disease-prediction-1804.10776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-layered-parallel-graph-convolutional-network-ml-pgcn-for-disease-prediction-1804.10776"/></url>
<url><loc>https://scifaro.com/en/abs/a-cost-sensitive-deep-belief-network-for-imbalanced-classification-1804.10801</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-cost-sensitive-deep-belief-network-for-imbalanced-classification-1804.10801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-cost-sensitive-deep-belief-network-for-imbalanced-classification-1804.10801"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-domain-adaptation-using-metric-learning-on-manifolds-1804.10834</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-domain-adaptation-using-metric-learning-on-manifolds-1804.10834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-domain-adaptation-using-metric-learning-on-manifolds-1804.10834"/></url>
<url><loc>https://scifaro.com/en/abs/drug-similarity-integration-through-attentive-multi-view-graph-auto-encoders-1804.10850</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drug-similarity-integration-through-attentive-multi-view-graph-auto-encoders-1804.10850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drug-similarity-integration-through-attentive-multi-view-graph-auto-encoders-1804.10850"/></url>
<url><loc>https://scifaro.com/en/abs/dense-adaptive-cascade-forest-a-self-adaptive-deep-ensemble-for-classification-problems-1804.10885</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dense-adaptive-cascade-forest-a-self-adaptive-deep-ensemble-for-classification-problems-1804.10885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dense-adaptive-cascade-forest-a-self-adaptive-deep-ensemble-for-classification-problems-1804.10885"/></url>
<url><loc>https://scifaro.com/en/abs/an-investigation-on-support-vector-clustering-for-big-data-in-quantum-paradigm-1804.10905</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-investigation-on-support-vector-clustering-for-big-data-in-quantum-paradigm-1804.10905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-investigation-on-support-vector-clustering-for-big-data-in-quantum-paradigm-1804.10905"/></url>
<url><loc>https://scifaro.com/en/abs/uniq-uniform-noise-injection-for-non-uniform-quantization-of-neural-networks-1804.10969</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniq-uniform-noise-injection-for-non-uniform-quantization-of-neural-networks-1804.10969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniq-uniform-noise-injection-for-non-uniform-quantization-of-neural-networks-1804.10969"/></url>
<url><loc>https://scifaro.com/en/abs/competitive-training-of-mixtures-of-independent-deep-generative-models-1804.11130</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/competitive-training-of-mixtures-of-independent-deep-generative-models-1804.11130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/competitive-training-of-mixtures-of-independent-deep-generative-models-1804.11130"/></url>
<url><loc>https://scifaro.com/en/abs/can-recurrent-neural-networks-warp-time-1804.11188</loc><lastmod>2018-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-recurrent-neural-networks-warp-time-1804.11188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-recurrent-neural-networks-warp-time-1804.11188"/></url>
<url><loc>https://scifaro.com/en/abs/k-nearest-neighbors-by-means-of-sequence-to-sequence-deep-neural-networks-and-memory-networks-1804.11214</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-nearest-neighbors-by-means-of-sequence-to-sequence-deep-neural-networks-and-memory-networks-1804.11214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-nearest-neighbors-by-means-of-sequence-to-sequence-deep-neural-networks-and-memory-networks-1804.11214"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-robust-generalization-requires-more-data-1804.11285</loc><lastmod>2018-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-robust-generalization-requires-more-data-1804.11285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-robust-generalization-requires-more-data-1804.11285"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-semantic-alignment-for-improved-image-captions-1805.00063</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-semantic-alignment-for-improved-image-captions-1805.00063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-semantic-alignment-for-improved-image-captions-1805.00063"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-regularization-to-visualize-convolutional-neural-networks-1805.00071</loc><lastmod>2018-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-regularization-to-visualize-convolutional-neural-networks-1805.00071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-regularization-to-visualize-convolutional-neural-networks-1805.00071"/></url>
<url><loc>https://scifaro.com/en/abs/concolic-testing-for-deep-neural-networks-1805.00089</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concolic-testing-for-deep-neural-networks-1805.00089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concolic-testing-for-deep-neural-networks-1805.00089"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-molecular-design-with-deep-generative-models-1805.00108</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-molecular-design-with-deep-generative-models-1805.00108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-molecular-design-with-deep-generative-models-1805.00108"/></url>
<url><loc>https://scifaro.com/en/abs/a-missing-information-loss-function-for-implicit-feedback-datasets-1805.00121</loc><lastmod>2018-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-missing-information-loss-function-for-implicit-feedback-datasets-1805.00121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-missing-information-loss-function-for-implicit-feedback-datasets-1805.00121"/></url>
<url><loc>https://scifaro.com/en/abs/internal-node-bagging-1805.00215</loc><lastmod>2018-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/internal-node-bagging-1805.00215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/internal-node-bagging-1805.00215"/></url>
<url><loc>https://scifaro.com/en/abs/a-taxonomy-for-neural-memory-networks-1805.00327</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-taxonomy-for-neural-memory-networks-1805.00327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-taxonomy-for-neural-memory-networks-1805.00327"/></url>
<url><loc>https://scifaro.com/en/abs/sample-to-sample-correspondence-for-unsupervised-domain-adaptation-1805.00355</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-to-sample-correspondence-for-unsupervised-domain-adaptation-1805.00355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-to-sample-correspondence-for-unsupervised-domain-adaptation-1805.00355"/></url>
<url><loc>https://scifaro.com/en/abs/reconstruction-of-simulation-based-physical-field-by-reconstruction-neural-network-method-1805.00528</loc><lastmod>2018-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconstruction-of-simulation-based-physical-field-by-reconstruction-neural-network-method-1805.00528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconstruction-of-simulation-based-physical-field-by-reconstruction-neural-network-method-1805.00528"/></url>
<url><loc>https://scifaro.com/en/abs/decision-tree-design-for-classification-in-crowdsourcing-systems-1805.00559</loc><lastmod>2018-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-tree-design-for-classification-in-crowdsourcing-systems-1805.00559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-tree-design-for-classification-in-crowdsourcing-systems-1805.00559"/></url>
<url><loc>https://scifaro.com/en/abs/ell-1-regression-with-heavy-tailed-distributions-1805.00616</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ell-1-regression-with-heavy-tailed-distributions-1805.00616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ell-1-regression-with-heavy-tailed-distributions-1805.00616"/></url>
<url><loc>https://scifaro.com/en/abs/markov-chain-neural-networks-1805.00784</loc><lastmod>2018-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-chain-neural-networks-1805.00784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-chain-neural-networks-1805.00784"/></url>
<url><loc>https://scifaro.com/en/abs/credit-risk-prediction-in-an-imbalanced-social-lending-environment-1805.00801</loc><lastmod>2018-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/credit-risk-prediction-in-an-imbalanced-social-lending-environment-1805.00801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/credit-risk-prediction-in-an-imbalanced-social-lending-environment-1805.00801"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-temporal-difference-learning-is-a-gradient-descent-for-reversible-policies-1805.00869</loc><lastmod>2018-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-temporal-difference-learning-is-a-gradient-descent-for-reversible-policies-1805.00869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-temporal-difference-learning-is-a-gradient-descent-for-reversible-policies-1805.00869"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-and-control-as-probabilistic-inference-tutorial-and-review-1805.00909</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-and-control-as-probabilistic-inference-tutorial-and-review-1805.00909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-and-control-as-probabilistic-inference-tutorial-and-review-1805.00909"/></url>
<url><loc>https://scifaro.com/en/abs/lidar-cloud-detection-with-fully-convolutional-networks-1805.00928</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lidar-cloud-detection-with-fully-convolutional-networks-1805.00928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lidar-cloud-detection-with-fully-convolutional-networks-1805.00928"/></url>
<url><loc>https://scifaro.com/en/abs/modal-a-modular-active-learning-framework-for-python-1805.00979</loc><lastmod>2018-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modal-a-modular-active-learning-framework-for-python-1805.00979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modal-a-modular-active-learning-framework-for-python-1805.00979"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-inference-of-cross-modal-connection-topologies-for-x-cnns-1805.00987</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-inference-of-cross-modal-connection-topologies-for-x-cnns-1805.00987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-inference-of-cross-modal-connection-topologies-for-x-cnns-1805.00987"/></url>
<url><loc>https://scifaro.com/en/abs/covariate-shift-estimation-based-adaptive-ensemble-learning-for-handling-non-stationarity-in-motor-imagery-related-eeg-based-brain-computer-interface-1805.01044</loc><lastmod>2018-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariate-shift-estimation-based-adaptive-ensemble-learning-for-handling-non-stationarity-in-motor-imagery-related-eeg-based-brain-computer-interface-1805.01044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariate-shift-estimation-based-adaptive-ensemble-learning-for-handling-non-stationarity-in-motor-imagery-related-eeg-based-brain-computer-interface-1805.01044"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-unsupervised-deep-representation-learning-for-brain-structure-1805.01049</loc><lastmod>2018-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-unsupervised-deep-representation-learning-for-brain-structure-1805.01049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-unsupervised-deep-representation-learning-for-brain-structure-1805.01049"/></url>
<url><loc>https://scifaro.com/en/abs/local-critic-training-of-deep-neural-networks-1805.01128</loc><lastmod>2018-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-critic-training-of-deep-neural-networks-1805.01128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-critic-training-of-deep-neural-networks-1805.01128"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-pricing-analytics-with-customer-covariates-1805.01136</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-pricing-analytics-with-customer-covariates-1805.01136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-pricing-analytics-with-customer-covariates-1805.01136"/></url>
<url><loc>https://scifaro.com/en/abs/safernet-safe-transportation-routing-in-the-era-of-internet-of-vehicles-and-mobile-crowd-sensing-1805.01162</loc><lastmod>2018-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safernet-safe-transportation-routing-in-the-era-of-internet-of-vehicles-and-mobile-crowd-sensing-1805.01162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safernet-safe-transportation-routing-in-the-era-of-internet-of-vehicles-and-mobile-crowd-sensing-1805.01162"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-language-and-knowledge-in-task-oriented-dialogs-1805.01216</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-language-and-knowledge-in-task-oriented-dialogs-1805.01216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-language-and-knowledge-in-task-oriented-dialogs-1805.01216"/></url>
<url><loc>https://scifaro.com/en/abs/learning-pretopological-spaces-to-model-complex-propagation-phenomena-a-multiple-instance-learning-approach-based-on-a-logical-modeling-1805.01278</loc><lastmod>2018-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-pretopological-spaces-to-model-complex-propagation-phenomena-a-multiple-instance-learning-approach-based-on-a-logical-modeling-1805.01278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-pretopological-spaces-to-model-complex-propagation-phenomena-a-multiple-instance-learning-approach-based-on-a-logical-modeling-1805.01278"/></url>
<url><loc>https://scifaro.com/en/abs/semantic-channel-and-shannon-s-channel-mutually-match-for-multi-label-classification-1805.01288</loc><lastmod>2018-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantic-channel-and-shannon-s-channel-mutually-match-for-multi-label-classification-1805.01288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantic-channel-and-shannon-s-channel-mutually-match-for-multi-label-classification-1805.01288"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-and-change-detection-in-graph-streams-through-constant-curvature-manifold-embeddings-1805.01360</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-and-change-detection-in-graph-streams-through-constant-curvature-manifold-embeddings-1805.01360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-and-change-detection-in-graph-streams-through-constant-curvature-manifold-embeddings-1805.01360"/></url>
<url><loc>https://scifaro.com/en/abs/open-loop-execution-of-tree-search-algorithms-extended-version-1805.01367</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-loop-execution-of-tree-search-algorithms-extended-version-1805.01367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-loop-execution-of-tree-search-algorithms-extended-version-1805.01367"/></url>
<url><loc>https://scifaro.com/en/abs/siamese-networks-for-generating-adversarial-examples-1805.01431</loc><lastmod>2018-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/siamese-networks-for-generating-adversarial-examples-1805.01431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/siamese-networks-for-generating-adversarial-examples-1805.01431"/></url>
<url><loc>https://scifaro.com/en/abs/recs-robust-graph-embedding-using-connection-subgraphs-1805.01509</loc><lastmod>2018-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recs-robust-graph-embedding-using-connection-subgraphs-1805.01509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recs-robust-graph-embedding-using-connection-subgraphs-1805.01509"/></url>
<url><loc>https://scifaro.com/en/abs/lifted-neural-networks-1805.01532</loc><lastmod>2018-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifted-neural-networks-1805.01532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifted-neural-networks-1805.01532"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-learnability-in-the-sublinear-data-regime-1805.01626</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-learnability-in-the-sublinear-data-regime-1805.01626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-learnability-in-the-sublinear-data-regime-1805.01626"/></url>
<url><loc>https://scifaro.com/en/abs/belman-bayesian-bandits-on-the-belief-reward-manifold-1805.01627</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/belman-bayesian-bandits-on-the-belief-reward-manifold-1805.01627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/belman-bayesian-bandits-on-the-belief-reward-manifold-1805.01627"/></url>
<url><loc>https://scifaro.com/en/abs/intracranial-error-detection-via-deep-learning-1805.01667</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intracranial-error-detection-via-deep-learning-1805.01667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intracranial-error-detection-via-deep-learning-1805.01667"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-pure-exploration-with-continuous-and-separable-reward-functions-and-its-applications-extended-version-1805.01685</loc><lastmod>2018-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-pure-exploration-with-continuous-and-separable-reward-functions-and-its-applications-extended-version-1805.01685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-pure-exploration-with-continuous-and-separable-reward-functions-and-its-applications-extended-version-1805.01685"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-the-click-through-rate-web-link-selection-with-multi-level-feedback-1805.01702</loc><lastmod>2018-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-the-click-through-rate-web-link-selection-with-multi-level-feedback-1805.01702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-the-click-through-rate-web-link-selection-with-multi-level-feedback-1805.01702"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-spectrum-of-graph-convolutional-networks-1805.01837</loc><lastmod>2018-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-spectrum-of-graph-convolutional-networks-1805.01837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-spectrum-of-graph-convolutional-networks-1805.01837"/></url>
<url><loc>https://scifaro.com/en/abs/t-pine-tensor-based-predictable-and-interpretable-node-embeddings-1805.01889</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/t-pine-tensor-based-predictable-and-interpretable-node-embeddings-1805.01889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/t-pine-tensor-based-predictable-and-interpretable-node-embeddings-1805.01889"/></url>
<url><loc>https://scifaro.com/en/abs/rmdl-random-multimodel-deep-learning-for-classification-1805.01890</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rmdl-random-multimodel-deep-learning-for-classification-1805.01890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rmdl-random-multimodel-deep-learning-for-classification-1805.01890"/></url>
<url><loc>https://scifaro.com/en/abs/power-law-in-sparsified-deep-neural-networks-1805.01891</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-law-in-sparsified-deep-neural-networks-1805.01891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-law-in-sparsified-deep-neural-networks-1805.01891"/></url>
<url><loc>https://scifaro.com/en/abs/exploration-by-distributional-reinforcement-learning-1805.01907</loc><lastmod>2018-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploration-by-distributional-reinforcement-learning-1805.01907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploration-by-distributional-reinforcement-learning-1805.01907"/></url>
<url><loc>https://scifaro.com/en/abs/improve-uncertainty-estimation-for-unknown-classes-in-bayesian-neural-networks-with-semi-supervised-one-set-classification-1805.01955</loc><lastmod>2018-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improve-uncertainty-estimation-for-unknown-classes-in-bayesian-neural-networks-with-semi-supervised-one-set-classification-1805.01955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improve-uncertainty-estimation-for-unknown-classes-in-bayesian-neural-networks-with-semi-supervised-one-set-classification-1805.01955"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-of-artist-group-factors-to-musical-genre-classification-1805.02043</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-of-artist-group-factors-to-musical-genre-classification-1805.02043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-of-artist-group-factors-to-musical-genre-classification-1805.02043"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-playing-2-5d-fighting-games-1805.02070</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-playing-2-5d-fighting-games-1805.02070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-playing-2-5d-fighting-games-1805.02070"/></url>
<url><loc>https://scifaro.com/en/abs/developing-parsimonious-ensembles-using-ensemble-diversity-within-a-reinforcement-learning-framework-1805.02103</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/developing-parsimonious-ensembles-using-ensemble-diversity-within-a-reinforcement-learning-framework-1805.02103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/developing-parsimonious-ensembles-using-ensemble-diversity-within-a-reinforcement-learning-framework-1805.02103"/></url>
<url><loc>https://scifaro.com/en/abs/private-sequential-learning-1805.02136</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-sequential-learning-1805.02136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-sequential-learning-1805.02136"/></url>
<url><loc>https://scifaro.com/en/abs/reachability-analysis-of-deep-neural-networks-with-provable-guarantees-1805.02242</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reachability-analysis-of-deep-neural-networks-with-provable-guarantees-1805.02242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reachability-analysis-of-deep-neural-networks-with-provable-guarantees-1805.02242"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-privileged-information-to-unsupervised-anomaly-detection-1805.02269</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-privileged-information-to-unsupervised-anomaly-detection-1805.02269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-privileged-information-to-unsupervised-anomaly-detection-1805.02269"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-with-pairwise-relationships-a-generative-approach-1805.02285</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-with-pairwise-relationships-a-generative-approach-1805.02285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-with-pairwise-relationships-a-generative-approach-1805.02285"/></url>
<url><loc>https://scifaro.com/en/abs/examining-the-use-of-neural-networks-for-feature-extraction-a-comparative-analysis-using-deep-learning-support-vector-machines-and-k-nearest-neighbor-classifiers-1805.02294</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/examining-the-use-of-neural-networks-for-feature-extraction-a-comparative-analysis-using-deep-learning-support-vector-machines-and-k-nearest-neighbor-classifiers-1805.02294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/examining-the-use-of-neural-networks-for-feature-extraction-a-comparative-analysis-using-deep-learning-support-vector-machines-and-k-nearest-neighbor-classifiers-1805.02294"/></url>
<url><loc>https://scifaro.com/en/abs/direct-deep-discriminative-embedding-for-clustering-of-ligo-data-1805.02296</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direct-deep-discriminative-embedding-for-clustering-of-ligo-data-1805.02296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direct-deep-discriminative-embedding-for-clustering-of-ligo-data-1805.02296"/></url>
<url><loc>https://scifaro.com/en/abs/implementation-of-stochastic-quasi-newton-s-method-in-pytorch-1805.02338</loc><lastmod>2018-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementation-of-stochastic-quasi-newton-s-method-in-pytorch-1805.02338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementation-of-stochastic-quasi-newton-s-method-in-pytorch-1805.02338"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-active-learning-of-sparse-halfspaces-1805.02350</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-active-learning-of-sparse-halfspaces-1805.02350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-active-learning-of-sparse-halfspaces-1805.02350"/></url>
<url><loc>https://scifaro.com/en/abs/the-logistic-network-lasso-1805.02483</loc><lastmod>2018-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-logistic-network-lasso-1805.02483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-logistic-network-lasso-1805.02483"/></url>
<url><loc>https://scifaro.com/en/abs/computing-the-shattering-coefficient-of-supervised-learning-algorithms-1805.02627</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-the-shattering-coefficient-of-supervised-learning-algorithms-1805.02627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-the-shattering-coefficient-of-supervised-learning-algorithms-1805.02627"/></url>
<url><loc>https://scifaro.com/en/abs/wavelet-decomposition-of-gradient-boosting-1805.02642</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wavelet-decomposition-of-gradient-boosting-1805.02642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wavelet-decomposition-of-gradient-boosting-1805.02642"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-for-one-hidden-layer-neural-networks-polynomial-convergence-and-sq-lower-bounds-1805.02677</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-for-one-hidden-layer-neural-networks-polynomial-convergence-and-sq-lower-bounds-1805.02677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-for-one-hidden-layer-neural-networks-polynomial-convergence-and-sq-lower-bounds-1805.02677"/></url>
<url><loc>https://scifaro.com/en/abs/holarchic-structures-for-decentralized-deep-learning-a-performance-analysis-1805.02686</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/holarchic-structures-for-decentralized-deep-learning-a-performance-analysis-1805.02686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/holarchic-structures-for-decentralized-deep-learning-a-performance-analysis-1805.02686"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-regression-analysis-with-deep-convolutional-neural-networks-1805.02716</loc><lastmod>2018-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-regression-analysis-with-deep-convolutional-neural-networks-1805.02716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-regression-analysis-with-deep-convolutional-neural-networks-1805.02716"/></url>
<url><loc>https://scifaro.com/en/abs/what-game-are-we-playing-end-to-end-learning-in-normal-and-extensive-form-games-1805.02777</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-game-are-we-playing-end-to-end-learning-in-normal-and-extensive-form-games-1805.02777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-game-are-we-playing-end-to-end-learning-in-normal-and-extensive-form-games-1805.02777"/></url>
<url><loc>https://scifaro.com/en/abs/fast-online-exact-solutions-for-deterministic-mdps-with-sparse-rewards-1805.02785</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-online-exact-solutions-for-deterministic-mdps-with-sparse-rewards-1805.02785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-online-exact-solutions-for-deterministic-mdps-with-sparse-rewards-1805.02785"/></url>
<url><loc>https://scifaro.com/en/abs/several-tunable-gmm-kernels-1805.02830</loc><lastmod>2018-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/several-tunable-gmm-kernels-1805.02830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/several-tunable-gmm-kernels-1805.02830"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-adversarial-perturbation-in-input-embedding-space-for-text-1805.02917</loc><lastmod>2018-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-adversarial-perturbation-in-input-embedding-space-for-text-1805.02917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-adversarial-perturbation-in-input-embedding-space-for-text-1805.02917"/></url>
<url><loc>https://scifaro.com/en/abs/multinomial-logit-bandit-with-linear-utility-functions-1805.02971</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multinomial-logit-bandit-with-linear-utility-functions-1805.02971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multinomial-logit-bandit-with-linear-utility-functions-1805.02971"/></url>
<url><loc>https://scifaro.com/en/abs/reward-estimation-for-variance-reduction-in-deep-reinforcement-learning-1805.03359</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reward-estimation-for-variance-reduction-in-deep-reinforcement-learning-1805.03359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reward-estimation-for-variance-reduction-in-deep-reinforcement-learning-1805.03359"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-the-privacy-loss-with-the-input-feature-maps-of-the-layers-in-convolutional-neural-networks-1805.03444</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-the-privacy-loss-with-the-input-feature-maps-of-the-layers-in-convolutional-neural-networks-1805.03444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-the-privacy-loss-with-the-input-feature-maps-of-the-layers-in-convolutional-neural-networks-1805.03444"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-based-network-embedding-1805.03504</loc><lastmod>2018-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-based-network-embedding-1805.03504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-based-network-embedding-1805.03504"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-of-deep-neural-networks-by-capsules-1805.03551</loc><lastmod>2018-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-of-deep-neural-networks-by-capsules-1805.03551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-of-deep-neural-networks-by-capsules-1805.03551"/></url>
<url><loc>https://scifaro.com/en/abs/on-visual-hallmarks-of-robustness-to-adversarial-malware-1805.03553</loc><lastmod>2018-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-visual-hallmarks-of-robustness-to-adversarial-malware-1805.03553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-visual-hallmarks-of-robustness-to-adversarial-malware-1805.03553"/></url>
<url><loc>https://scifaro.com/en/abs/policy-optimization-with-second-order-advantage-information-1805.03586</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-optimization-with-second-order-advantage-information-1805.03586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-optimization-with-second-order-advantage-information-1805.03586"/></url>
<url><loc>https://scifaro.com/en/abs/secure-mobile-edge-computing-in-iot-via-collaborative-online-learning-1805.03591</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secure-mobile-edge-computing-in-iot-via-collaborative-online-learning-1805.03591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secure-mobile-edge-computing-in-iot-via-collaborative-online-learning-1805.03591"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-teach-1805.03643</loc><lastmod>2018-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-teach-1805.03643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-teach-1805.03643"/></url>
<url><loc>https://scifaro.com/en/abs/improving-gan-training-via-binarized-representation-entropy-bre-regularization-1805.03644</loc><lastmod>2018-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-gan-training-via-binarized-representation-entropy-bre-regularization-1805.03644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-gan-training-via-binarized-representation-entropy-bre-regularization-1805.03644"/></url>
<url><loc>https://scifaro.com/en/abs/foundations-of-sequence-to-sequence-modeling-for-time-series-1805.03714</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/foundations-of-sequence-to-sequence-modeling-for-time-series-1805.03714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/foundations-of-sequence-to-sequence-modeling-for-time-series-1805.03714"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-associative-classification-for-very-large-datasets-1805.03887</loc><lastmod>2018-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-associative-classification-for-very-large-datasets-1805.03887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-associative-classification-for-very-large-datasets-1805.03887"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-universal-neural-network-encoder-for-time-series-1805.03908</loc><lastmod>2018-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-universal-neural-network-encoder-for-time-series-1805.03908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-universal-neural-network-encoder-for-time-series-1805.03908"/></url>
<url><loc>https://scifaro.com/en/abs/monotone-learning-with-rectified-wire-networks-1805.03963</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monotone-learning-with-rectified-wire-networks-1805.03963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monotone-learning-with-rectified-wire-networks-1805.03963"/></url>
<url><loc>https://scifaro.com/en/abs/supervising-nystr-om-methods-via-negative-margin-support-vector-selection-1805.04018</loc><lastmod>2018-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervising-nystr-om-methods-via-negative-margin-support-vector-selection-1805.04018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervising-nystr-om-methods-via-negative-margin-support-vector-selection-1805.04018"/></url>
<url><loc>https://scifaro.com/en/abs/an-unsupervised-clustering-based-short-term-solar-forecasting-methodology-using-multi-model-machine-learning-blending-1805.04193</loc><lastmod>2018-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-unsupervised-clustering-based-short-term-solar-forecasting-methodology-using-multi-model-machine-learning-blending-1805.04193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-unsupervised-clustering-based-short-term-solar-forecasting-methodology-using-multi-model-machine-learning-blending-1805.04193"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-deep-forest-and-its-application-to-automatic-detection-of-cash-out-fraud-1805.04234</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-deep-forest-and-its-application-to-automatic-detection-of-cash-out-fraud-1805.04234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-deep-forest-and-its-application-to-automatic-detection-of-cash-out-fraud-1805.04234"/></url>
<url><loc>https://scifaro.com/en/abs/convex-programming-based-spectral-clustering-1805.04246</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-programming-based-spectral-clustering-1805.04246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-programming-based-spectral-clustering-1805.04246"/></url>
<url><loc>https://scifaro.com/en/abs/an-o-n-sorting-algorithm-machine-learning-sort-1805.04272</loc><lastmod>2018-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-o-n-sorting-algorithm-machine-learning-sort-1805.04272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-o-n-sorting-algorithm-machine-learning-sort-1805.04272"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-grammar-and-reinforcement-learning-for-neural-program-synthesis-1805.04276</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-grammar-and-reinforcement-learning-for-neural-program-synthesis-1805.04276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-grammar-and-reinforcement-learning-for-neural-program-synthesis-1805.04276"/></url>
<url><loc>https://scifaro.com/en/abs/metatrace-actor-critic-online-step-size-tuning-by-meta-gradient-descent-for-reinforcement-learning-control-1805.04514</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metatrace-actor-critic-online-step-size-tuning-by-meta-gradient-descent-for-reinforcement-learning-control-1805.04514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metatrace-actor-critic-online-step-size-tuning-by-meta-gradient-descent-for-reinforcement-learning-control-1805.04514"/></url>
<url><loc>https://scifaro.com/en/abs/learning-induced-categorical-perception-in-a-neural-network-model-1805.04567</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-induced-categorical-perception-in-a-neural-network-model-1805.04567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-induced-categorical-perception-in-a-neural-network-model-1805.04567"/></url>
<url><loc>https://scifaro.com/en/abs/textual-membership-queries-1805.04609</loc><lastmod>2020-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/textual-membership-queries-1805.04609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/textual-membership-queries-1805.04609"/></url>
<url><loc>https://scifaro.com/en/abs/task-transfer-by-preference-based-cost-learning-1805.04686</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-transfer-by-preference-based-cost-learning-1805.04686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-transfer-by-preference-based-cost-learning-1805.04686"/></url>
<url><loc>https://scifaro.com/en/abs/do-outliers-ruin-collaboration-1805.04720</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-outliers-ruin-collaboration-1805.04720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-outliers-ruin-collaboration-1805.04720"/></url>
<url><loc>https://scifaro.com/en/abs/pool-based-sequential-active-learning-for-regression-1805.04735</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pool-based-sequential-active-learning-for-regression-1805.04735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pool-based-sequential-active-learning-for-regression-1805.04735"/></url>
<url><loc>https://scifaro.com/en/abs/offline-eeg-based-driver-drowsiness-estimation-using-enhanced-batch-mode-active-learning-ebmal-for-regression-1805.04737</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-eeg-based-driver-drowsiness-estimation-using-enhanced-batch-mode-active-learning-ebmal-for-regression-1805.04737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-eeg-based-driver-drowsiness-estimation-using-enhanced-batch-mode-active-learning-ebmal-for-regression-1805.04737"/></url>
<url><loc>https://scifaro.com/en/abs/agreement-rate-initialized-maximum-likelihood-estimator-for-ensemble-classifier-aggregation-and-its-application-in-brain-computer-interface-1805.04740</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agreement-rate-initialized-maximum-likelihood-estimator-for-ensemble-classifier-aggregation-and-its-application-in-brain-computer-interface-1805.04740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agreement-rate-initialized-maximum-likelihood-estimator-for-ensemble-classifier-aggregation-and-its-application-in-brain-computer-interface-1805.04740"/></url>
<url><loc>https://scifaro.com/en/abs/improving-predictive-uncertainty-estimation-using-dropout-hamiltonian-monte-carlo-1805.04756</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-predictive-uncertainty-estimation-using-dropout-hamiltonian-monte-carlo-1805.04756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-predictive-uncertainty-estimation-using-dropout-hamiltonian-monte-carlo-1805.04756"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-metric-learning-through-geodesic-interpolation-within-lie-groups-1805.04784</loc><lastmod>2018-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-metric-learning-through-geodesic-interpolation-within-lie-groups-1805.04784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-metric-learning-through-geodesic-interpolation-within-lie-groups-1805.04784"/></url>
<url><loc>https://scifaro.com/en/abs/curriculum-adversarial-training-1805.04807</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curriculum-adversarial-training-1805.04807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curriculum-adversarial-training-1805.04807"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-practical-computational-power-of-finite-precision-rnns-for-language-recognition-1805.04908</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-practical-computational-power-of-finite-precision-rnns-for-language-recognition-1805.04908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-practical-computational-power-of-finite-precision-rnns-for-language-recognition-1805.04908"/></url>
<url><loc>https://scifaro.com/en/abs/doing-the-impossible-why-neural-networks-can-be-trained-at-all-1805.04928</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doing-the-impossible-why-neural-networks-can-be-trained-at-all-1805.04928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doing-the-impossible-why-neural-networks-can-be-trained-at-all-1805.04928"/></url>
<url><loc>https://scifaro.com/en/abs/dyna-a-method-of-momentum-for-stochastic-optimization-1805.04933</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dyna-a-method-of-momentum-for-stochastic-optimization-1805.04933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dyna-a-method-of-momentum-for-stochastic-optimization-1805.04933"/></url>
<url><loc>https://scifaro.com/en/abs/the-global-optimization-geometry-of-shallow-linear-neural-networks-1805.04938</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-global-optimization-geometry-of-shallow-linear-neural-networks-1805.04938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-global-optimization-geometry-of-shallow-linear-neural-networks-1805.04938"/></url>
<url><loc>https://scifaro.com/en/abs/low-pass-recurrent-neural-networks-a-memory-architecture-for-longer-term-correlation-discovery-1805.04955</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-pass-recurrent-neural-networks-a-memory-architecture-for-longer-term-correlation-discovery-1805.04955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-pass-recurrent-neural-networks-a-memory-architecture-for-longer-term-correlation-discovery-1805.04955"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-message-passing-for-map-with-benders-decomposition-1805.04958</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-message-passing-for-map-with-benders-decomposition-1805.04958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-message-passing-for-map-with-benders-decomposition-1805.04958"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-adversarial-samples-for-deep-neural-networks-through-mutation-testing-1805.05010</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-adversarial-samples-for-deep-neural-networks-through-mutation-testing-1805.05010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-adversarial-samples-for-deep-neural-networks-through-mutation-testing-1805.05010"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-approach-with-an-attention-mechanism-for-automatic-sleep-stage-classification-1805.05036</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-approach-with-an-attention-mechanism-for-automatic-sleep-stage-classification-1805.05036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-approach-with-an-attention-mechanism-for-automatic-sleep-stage-classification-1805.05036"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-the-basics-1805.05052</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-the-basics-1805.05052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-the-basics-1805.05052"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-with-adversarial-training-and-graph-embeddings-1805.05151</loc><lastmod>2018-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-with-adversarial-training-and-graph-embeddings-1805.05151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-with-adversarial-training-and-graph-embeddings-1805.05151"/></url>
<url><loc>https://scifaro.com/en/abs/a-cost-effective-framework-for-preference-elicitation-and-aggregation-1805.05287</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-cost-effective-framework-for-preference-elicitation-and-aggregation-1805.05287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-cost-effective-framework-for-preference-elicitation-and-aggregation-1805.05287"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-scoring-using-whitebox-meta-models-with-linear-classifier-probes-1805.05396</loc><lastmod>2019-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-scoring-using-whitebox-meta-models-with-linear-classifier-probes-1805.05396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-scoring-using-whitebox-meta-models-with-linear-classifier-probes-1805.05396"/></url>
<url><loc>https://scifaro.com/en/abs/wearable-audio-and-imu-based-shot-detection-in-racquet-sports-1805.05456</loc><lastmod>2018-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wearable-audio-and-imu-based-shot-detection-in-racquet-sports-1805.05456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wearable-audio-and-imu-based-shot-detection-in-racquet-sports-1805.05456"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-dimensionality-reduction-for-discriminative-analytics-of-multiple-datasets-1805.05502</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-dimensionality-reduction-for-discriminative-analytics-of-multiple-datasets-1805.05502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-dimensionality-reduction-for-discriminative-analytics-of-multiple-datasets-1805.05502"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-distillation-with-adversarial-samples-supporting-decision-boundary-1805.05532</loc><lastmod>2018-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-distillation-with-adversarial-samples-supporting-decision-boundary-1805.05532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-distillation-with-adversarial-samples-supporting-decision-boundary-1805.05532"/></url>
<url><loc>https://scifaro.com/en/abs/advances-in-experience-replay-1805.05536</loc><lastmod>2018-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advances-in-experience-replay-1805.05536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advances-in-experience-replay-1805.05536"/></url>
<url><loc>https://scifaro.com/en/abs/local-saddle-point-optimization-a-curvature-exploitation-approach-1805.05751</loc><lastmod>2019-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-saddle-point-optimization-a-curvature-exploitation-approach-1805.05751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-saddle-point-optimization-a-curvature-exploitation-approach-1805.05751"/></url>
<url><loc>https://scifaro.com/en/abs/online-bandit-linear-optimization-a-study-1805.05773</loc><lastmod>2018-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-bandit-linear-optimization-a-study-1805.05773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-bandit-linear-optimization-a-study-1805.05773"/></url>
<url><loc>https://scifaro.com/en/abs/active-semi-supervised-transfer-learning-astl-for-offline-bci-calibration-1805.05781</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-semi-supervised-transfer-learning-astl-for-offline-bci-calibration-1805.05781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-semi-supervised-transfer-learning-astl-for-offline-bci-calibration-1805.05781"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-end-to-end-learning-for-quantizable-representations-1805.05809</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-end-to-end-learning-for-quantizable-representations-1805.05809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-end-to-end-learning-for-quantizable-representations-1805.05809"/></url>
<url><loc>https://scifaro.com/en/abs/semi-blind-inference-of-topologies-and-dynamical-processes-over-graphs-1805.06095</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-blind-inference-of-topologies-and-dynamical-processes-over-graphs-1805.06095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-blind-inference-of-topologies-and-dynamical-processes-over-graphs-1805.06095"/></url>
<url><loc>https://scifaro.com/en/abs/optimized-computation-offloading-performance-in-virtual-edge-computing-systems-via-deep-reinforcement-learning-1805.06146</loc><lastmod>2018-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimized-computation-offloading-performance-in-virtual-edge-computing-systems-via-deep-reinforcement-learning-1805.06146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimized-computation-offloading-performance-in-virtual-edge-computing-systems-via-deep-reinforcement-learning-1805.06146"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-the-void-learning-stochastic-channel-models-from-observation-with-variational-generative-adversarial-networks-1805.06350</loc><lastmod>2018-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-the-void-learning-stochastic-channel-models-from-observation-with-variational-generative-adversarial-networks-1805.06350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-the-void-learning-stochastic-channel-models-from-observation-with-variational-generative-adversarial-networks-1805.06350"/></url>
<url><loc>https://scifaro.com/en/abs/task-agnostic-robust-learning-on-corrupt-outputs-by-correlation-guided-mixture-density-networks-1805.06431</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-agnostic-robust-learning-on-corrupt-outputs-by-correlation-guided-mixture-density-networks-1805.06431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-agnostic-robust-learning-on-corrupt-outputs-by-correlation-guided-mixture-density-networks-1805.06431"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-finite-dimensional-kernel-sobolev-discrepancy-1805.06441</loc><lastmod>2018-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-finite-dimensional-kernel-sobolev-discrepancy-1805.06441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-finite-dimensional-kernel-sobolev-discrepancy-1805.06441"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-learning-of-a-convolutional-neural-network-via-deep-tensor-decomposition-1805.06523</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-learning-of-a-convolutional-neural-network-via-deep-tensor-decomposition-1805.06523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-learning-of-a-convolutional-neural-network-via-deep-tensor-decomposition-1805.06523"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-gaussian-mechanism-for-differential-privacy-analytical-calibration-and-optimal-denoising-1805.06530</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-gaussian-mechanism-for-differential-privacy-analytical-calibration-and-optimal-denoising-1805.06530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-gaussian-mechanism-for-differential-privacy-analytical-calibration-and-optimal-denoising-1805.06530"/></url>
<url><loc>https://scifaro.com/en/abs/joint-classification-and-prediction-cnn-framework-for-automatic-sleep-stage-classification-1805.06546</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-classification-and-prediction-cnn-framework-for-automatic-sleep-stage-classification-1805.06546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-classification-and-prediction-cnn-framework-for-automatic-sleep-stage-classification-1805.06546"/></url>
<url><loc>https://scifaro.com/en/abs/taxi-demand-forecasting-a-hedge-based-tessellation-strategy-for-improved-accuracy-1805.06619</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taxi-demand-forecasting-a-hedge-based-tessellation-strategy-for-improved-accuracy-1805.06619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taxi-demand-forecasting-a-hedge-based-tessellation-strategy-for-improved-accuracy-1805.06619"/></url>
<url><loc>https://scifaro.com/en/abs/generative-networks-as-inverse-problems-with-scattering-transforms-1805.06621</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-networks-as-inverse-problems-with-scattering-transforms-1805.06621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-networks-as-inverse-problems-with-scattering-transforms-1805.06621"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-modeling-of-fault-detachment-stability-for-power-grid-1805.06657</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-modeling-of-fault-detachment-stability-for-power-grid-1805.06657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-modeling-of-fault-detachment-stability-for-power-grid-1805.06657"/></url>
<url><loc>https://scifaro.com/en/abs/faster-rates-for-convex-concave-games-1805.06792</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-rates-for-convex-concave-games-1805.06792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-rates-for-convex-concave-games-1805.06792"/></url>
<url><loc>https://scifaro.com/en/abs/dnn-or-k-nn-that-is-the-generalize-vs-memorize-question-1805.06822</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dnn-or-k-nn-that-is-the-generalize-vs-memorize-question-1805.06822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dnn-or-k-nn-that-is-the-generalize-vs-memorize-question-1805.06822"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-estimation-from-incomplete-observations-a-high-dimensional-analysis-1805.06834</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-estimation-from-incomplete-observations-a-high-dimensional-analysis-1805.06834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-estimation-from-incomplete-observations-a-high-dimensional-analysis-1805.06834"/></url>
<url><loc>https://scifaro.com/en/abs/design-identification-of-curve-patterns-on-cultural-heritage-objects-combining-template-matching-and-cnn-based-re-ranking-1805.06862</loc><lastmod>2018-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/design-identification-of-curve-patterns-on-cultural-heritage-objects-combining-template-matching-and-cnn-based-re-ranking-1805.06862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/design-identification-of-curve-patterns-on-cultural-heritage-objects-combining-template-matching-and-cnn-based-re-ranking-1805.06862"/></url>
<url><loc>https://scifaro.com/en/abs/a-forest-mixture-bound-for-block-free-parallel-inference-1805.06951</loc><lastmod>2018-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-forest-mixture-bound-for-block-free-parallel-inference-1805.06951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-forest-mixture-bound-for-block-free-parallel-inference-1805.06951"/></url>
<url><loc>https://scifaro.com/en/abs/counterexample-guided-data-augmentation-1805.06962</loc><lastmod>2018-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterexample-guided-data-augmentation-1805.06962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterexample-guided-data-augmentation-1805.06962"/></url>
<url><loc>https://scifaro.com/en/abs/learning-permutations-with-sinkhorn-policy-gradient-1805.07010</loc><lastmod>2018-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-permutations-with-sinkhorn-policy-gradient-1805.07010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-permutations-with-sinkhorn-policy-gradient-1805.07010"/></url>
<url><loc>https://scifaro.com/en/abs/trusted-neural-networks-for-safety-constrained-autonomous-control-1805.07075</loc><lastmod>2018-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trusted-neural-networks-for-safety-constrained-autonomous-control-1805.07075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trusted-neural-networks-for-safety-constrained-autonomous-control-1805.07075"/></url>
<url><loc>https://scifaro.com/en/abs/tropical-geometry-of-deep-neural-networks-1805.07091</loc><lastmod>2018-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tropical-geometry-of-deep-neural-networks-1805.07091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tropical-geometry-of-deep-neural-networks-1805.07091"/></url>
<url><loc>https://scifaro.com/en/abs/tree-edit-distance-learning-via-adaptive-symbol-embeddings-supplementary-materials-and-results-1805.07123</loc><lastmod>2018-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-edit-distance-learning-via-adaptive-symbol-embeddings-supplementary-materials-and-results-1805.07123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-edit-distance-learning-via-adaptive-symbol-embeddings-supplementary-materials-and-results-1805.07123"/></url>
<url><loc>https://scifaro.com/en/abs/low-cost-recurrent-neural-network-expected-performance-evaluation-1805.07159</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-cost-recurrent-neural-network-expected-performance-evaluation-1805.07159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-cost-recurrent-neural-network-expected-performance-evaluation-1805.07159"/></url>
<url><loc>https://scifaro.com/en/abs/memoryless-exact-solutions-for-deterministic-mdps-with-sparse-rewards-1805.07220</loc><lastmod>2018-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memoryless-exact-solutions-for-deterministic-mdps-with-sparse-rewards-1805.07220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memoryless-exact-solutions-for-deterministic-mdps-with-sparse-rewards-1805.07220"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-learning-rate-using-mutual-information-1805.07249</loc><lastmod>2018-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-learning-rate-using-mutual-information-1805.07249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-learning-rate-using-mutual-information-1805.07249"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-inferring-movement-with-deep-generative-model-1805.07252</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-inferring-movement-with-deep-generative-model-1805.07252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-inferring-movement-with-deep-generative-model-1805.07252"/></url>
<url><loc>https://scifaro.com/en/abs/general-solutions-for-nonlinear-differential-equations-a-rule-based-self-learning-approach-using-deep-reinforcement-learning-1805.07297</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-solutions-for-nonlinear-differential-equations-a-rule-based-self-learning-approach-using-deep-reinforcement-learning-1805.07297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-solutions-for-nonlinear-differential-equations-a-rule-based-self-learning-approach-using-deep-reinforcement-learning-1805.07297"/></url>
<url><loc>https://scifaro.com/en/abs/gane-a-generative-adversarial-network-embedding-1805.07324</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gane-a-generative-adversarial-network-embedding-1805.07324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gane-a-generative-adversarial-network-embedding-1805.07324"/></url>
<url><loc>https://scifaro.com/en/abs/positive-and-unlabeled-learning-through-negative-selection-and-imbalance-aware-classification-1805.07331</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/positive-and-unlabeled-learning-through-negative-selection-and-imbalance-aware-classification-1805.07331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/positive-and-unlabeled-learning-through-negative-selection-and-imbalance-aware-classification-1805.07331"/></url>
<url><loc>https://scifaro.com/en/abs/improved-sentence-modeling-using-suffix-bidirectional-lstm-1805.07340</loc><lastmod>2018-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-sentence-modeling-using-suffix-bidirectional-lstm-1805.07340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-sentence-modeling-using-suffix-bidirectional-lstm-1805.07340"/></url>
<url><loc>https://scifaro.com/en/abs/gumbolt-extending-gumbel-trick-to-boltzmann-priors-1805.07349</loc><lastmod>2019-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gumbolt-extending-gumbel-trick-to-boltzmann-priors-1805.07349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gumbolt-extending-gumbel-trick-to-boltzmann-priors-1805.07349"/></url>
<url><loc>https://scifaro.com/en/abs/processing-of-missing-data-by-neural-networks-1805.07405</loc><lastmod>2019-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/processing-of-missing-data-by-neural-networks-1805.07405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/processing-of-missing-data-by-neural-networks-1805.07405"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-online-portfolio-with-logarithmic-regret-1805.07430</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-online-portfolio-with-logarithmic-regret-1805.07430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-online-portfolio-with-logarithmic-regret-1805.07430"/></url>
<url><loc>https://scifaro.com/en/abs/can-machine-learning-identify-interesting-mathematics-an-exploration-using-empirically-observed-laws-1805.07431</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-machine-learning-identify-interesting-mathematics-an-exploration-using-empirically-observed-laws-1805.07431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-machine-learning-identify-interesting-mathematics-an-exploration-using-empirically-observed-laws-1805.07431"/></url>
<url><loc>https://scifaro.com/en/abs/neural-architecture-search-using-deep-neural-networks-and-monte-carlo-tree-search-1805.07440</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-architecture-search-using-deep-neural-networks-and-monte-carlo-tree-search-1805.07440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-architecture-search-using-deep-neural-networks-and-monte-carlo-tree-search-1805.07440"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-problem-by-weight-consolidation-and-long-term-memory-1805.07441</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-problem-by-weight-consolidation-and-long-term-memory-1805.07441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-problem-by-weight-consolidation-and-long-term-memory-1805.07441"/></url>
<url><loc>https://scifaro.com/en/abs/progressive-ensemble-networks-for-zero-shot-recognition-1805.07473</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progressive-ensemble-networks-for-zero-shot-recognition-1805.07473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progressive-ensemble-networks-for-zero-shot-recognition-1805.07473"/></url>
<url><loc>https://scifaro.com/en/abs/two-geometric-input-transformation-methods-for-fast-online-reinforcement-learning-with-neural-nets-1805.07476</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-geometric-input-transformation-methods-for-fast-online-reinforcement-learning-with-neural-nets-1805.07476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-geometric-input-transformation-methods-for-fast-online-reinforcement-learning-with-neural-nets-1805.07476"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-dr-submodular-maximization-and-applications-to-provable-mean-field-inference-1805.07482</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-dr-submodular-maximization-and-applications-to-provable-mean-field-inference-1805.07482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-dr-submodular-maximization-and-applications-to-provable-mean-field-inference-1805.07482"/></url>
<url><loc>https://scifaro.com/en/abs/tell-me-something-new-a-new-framework-for-asynchronous-parallel-learning-1805.07483</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tell-me-something-new-a-new-framework-for-asynchronous-parallel-learning-1805.07483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tell-me-something-new-a-new-framework-for-asynchronous-parallel-learning-1805.07483"/></url>
<url><loc>https://scifaro.com/en/abs/gadam-genetic-evolutionary-adam-for-deep-neural-network-optimization-1805.07500</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gadam-genetic-evolutionary-adam-for-deep-neural-network-optimization-1805.07500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gadam-genetic-evolutionary-adam-for-deep-neural-network-optimization-1805.07500"/></url>
<url><loc>https://scifaro.com/en/abs/on-deep-ensemble-learning-from-a-function-approximation-perspective-1805.07502</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-deep-ensemble-learning-from-a-function-approximation-perspective-1805.07502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-deep-ensemble-learning-from-a-function-approximation-perspective-1805.07502"/></url>
<url><loc>https://scifaro.com/en/abs/deep-loopy-neural-network-model-for-graph-structured-data-representation-learning-1805.07504</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-loopy-neural-network-model-for-graph-structured-data-representation-learning-1805.07504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-loopy-neural-network-model-for-graph-structured-data-representation-learning-1805.07504"/></url>
<url><loc>https://scifaro.com/en/abs/reconciled-polynomial-machine-a-unified-representation-of-shallow-and-deep-learning-models-1805.07507</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconciled-polynomial-machine-a-unified-representation-of-shallow-and-deep-learning-models-1805.07507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconciled-polynomial-machine-a-unified-representation-of-shallow-and-deep-learning-models-1805.07507"/></url>
<url><loc>https://scifaro.com/en/abs/gen-model-an-alternative-approach-to-deep-neural-network-models-1805.07508</loc><lastmod>2018-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gen-model-an-alternative-approach-to-deep-neural-network-models-1805.07508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gen-model-an-alternative-approach-to-deep-neural-network-models-1805.07508"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-multitask-1805.07541</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-multitask-1805.07541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-multitask-1805.07541"/></url>
<url><loc>https://scifaro.com/en/abs/nostalgic-adam-weighting-more-of-the-past-gradients-when-designing-the-adaptive-learning-rate-1805.07557</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nostalgic-adam-weighting-more-of-the-past-gradients-when-designing-the-adaptive-learning-rate-1805.07557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nostalgic-adam-weighting-more-of-the-past-gradients-when-designing-the-adaptive-learning-rate-1805.07557"/></url>
<url><loc>https://scifaro.com/en/abs/transduction-with-matrix-completion-using-smoothed-rank-function-1805.07561</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transduction-with-matrix-completion-using-smoothed-rank-function-1805.07561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transduction-with-matrix-completion-using-smoothed-rank-function-1805.07561"/></url>
<url><loc>https://scifaro.com/en/abs/robust-optimization-over-multiple-domains-1805.07588</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-optimization-over-multiple-domains-1805.07588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-optimization-over-multiple-domains-1805.07588"/></url>
<url><loc>https://scifaro.com/en/abs/adaptively-pruning-features-for-boosted-decision-trees-1805.07592</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptively-pruning-features-for-boosted-decision-trees-1805.07592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptively-pruning-features-for-boosted-decision-trees-1805.07592"/></url>
<url><loc>https://scifaro.com/en/abs/episodic-memory-deep-q-networks-1805.07603</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/episodic-memory-deep-q-networks-1805.07603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/episodic-memory-deep-q-networks-1805.07603"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-bayesian-deep-networks-with-local-competition-1805.07624</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-bayesian-deep-networks-with-local-competition-1805.07624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-bayesian-deep-networks-with-local-competition-1805.07624"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-loss-minimizers-with-local-data-perturbation-consistency-and-data-irrecoverability-1805.07645</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-loss-minimizers-with-local-data-perturbation-consistency-and-data-irrecoverability-1805.07645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-loss-minimizers-with-local-data-perturbation-consistency-and-data-irrecoverability-1805.07645"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graph-level-representations-with-recurrent-neural-networks-1805.07683</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graph-level-representations-with-recurrent-neural-networks-1805.07683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graph-level-representations-with-recurrent-neural-networks-1805.07683"/></url>
<url><loc>https://scifaro.com/en/abs/machine-teaching-for-inverse-reinforcement-learning-algorithms-and-applications-1805.07687</loc><lastmod>2019-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-teaching-for-inverse-reinforcement-learning-algorithms-and-applications-1805.07687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-teaching-for-inverse-reinforcement-learning-algorithms-and-applications-1805.07687"/></url>
<url><loc>https://scifaro.com/en/abs/a-lyapunov-based-approach-to-safe-reinforcement-learning-1805.07708</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-lyapunov-based-approach-to-safe-reinforcement-learning-1805.07708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-lyapunov-based-approach-to-safe-reinforcement-learning-1805.07708"/></url>
<url><loc>https://scifaro.com/en/abs/task-agnostic-meta-learning-for-few-shot-learning-1805.07722</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-agnostic-meta-learning-for-few-shot-learning-1805.07722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-agnostic-meta-learning-for-few-shot-learning-1805.07722"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-lower-bounds-for-cost-sensitive-classification-1805.07723</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-lower-bounds-for-cost-sensitive-classification-1805.07723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-lower-bounds-for-cost-sensitive-classification-1805.07723"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-distributional-gradient-temporal-difference-learning-1805.07732</loc><lastmod>2019-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-distributional-gradient-temporal-difference-learning-1805.07732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-distributional-gradient-temporal-difference-learning-1805.07732"/></url>
<url><loc>https://scifaro.com/en/abs/exp-concavity-of-proper-composite-losses-1805.07737</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exp-concavity-of-proper-composite-losses-1805.07737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exp-concavity-of-proper-composite-losses-1805.07737"/></url>
<url><loc>https://scifaro.com/en/abs/model-aggregation-via-good-enough-model-spaces-1805.07782</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-aggregation-via-good-enough-model-spaces-1805.07782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-aggregation-via-good-enough-model-spaces-1805.07782"/></url>
<url><loc>https://scifaro.com/en/abs/improved-learning-of-one-hidden-layer-convolutional-neural-networks-with-overlaps-1805.07798</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-learning-of-one-hidden-layer-convolutional-neural-networks-with-overlaps-1805.07798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-learning-of-one-hidden-layer-convolutional-neural-networks-with-overlaps-1805.07798"/></url>
<url><loc>https://scifaro.com/en/abs/network-learning-with-local-propagation-1805.07802</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-learning-with-local-propagation-1805.07802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-learning-with-local-propagation-1805.07802"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-policy-improvement-for-safe-and-efficient-reinforcement-learning-1805.07805</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-policy-improvement-for-safe-and-efficient-reinforcement-learning-1805.07805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-policy-improvement-for-safe-and-efficient-reinforcement-learning-1805.07805"/></url>
<url><loc>https://scifaro.com/en/abs/multi-layer-kernel-ridge-regression-for-one-class-classification-1805.07808</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-layer-kernel-ridge-regression-for-one-class-classification-1805.07808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-layer-kernel-ridge-regression-for-one-class-classification-1805.07808"/></url>
<url><loc>https://scifaro.com/en/abs/targeted-adversarial-examples-for-black-box-audio-systems-1805.07820</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/targeted-adversarial-examples-for-black-box-audio-systems-1805.07820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/targeted-adversarial-examples-for-black-box-audio-systems-1805.07820"/></url>
<url><loc>https://scifaro.com/en/abs/a-vest-of-the-pseudoinverse-learning-algorithm-1805.07828</loc><lastmod>2018-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-vest-of-the-pseudoinverse-learning-algorithm-1805.07828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-vest-of-the-pseudoinverse-learning-algorithm-1805.07828"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-cross-entropy-loss-for-training-deep-neural-networks-with-noisy-labels-1805.07836</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-cross-entropy-loss-for-training-deep-neural-networks-with-noisy-labels-1805.07836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-cross-entropy-loss-for-training-deep-neural-networks-with-noisy-labels-1805.07836"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-transport-convolution-a-new-tool-for-convolutional-neural-networks-on-manifolds-1805.07857</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-transport-convolution-a-new-tool-for-convolutional-neural-networks-on-manifolds-1805.07857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-transport-convolution-a-new-tool-for-convolutional-neural-networks-on-manifolds-1805.07857"/></url>
<url><loc>https://scifaro.com/en/abs/featurized-bidirectional-gan-adversarial-defense-via-adversarially-learned-semantic-inference-1805.07862</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/featurized-bidirectional-gan-adversarial-defense-via-adversarially-learned-semantic-inference-1805.07862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/featurized-bidirectional-gan-adversarial-defense-via-adversarially-learned-semantic-inference-1805.07862"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-and-method-for-online-inverse-reinforcement-learning-1805.07871</loc><lastmod>2020-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-and-method-for-online-inverse-reinforcement-learning-1805.07871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-and-method-for-online-inverse-reinforcement-learning-1805.07871"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-non-convex-truncated-losses-by-sgd-1805.07880</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-non-convex-truncated-losses-by-sgd-1805.07880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-non-convex-truncated-losses-by-sgd-1805.07880"/></url>
<url><loc>https://scifaro.com/en/abs/localized-multiple-kernel-learning-for-anomaly-detection-one-class-classification-1805.07892</loc><lastmod>2018-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/localized-multiple-kernel-learning-for-anomaly-detection-one-class-classification-1805.07892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/localized-multiple-kernel-learning-for-anomaly-detection-one-class-classification-1805.07892"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-unrestricted-adversarial-examples-with-generative-models-1805.07894</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-unrestricted-adversarial-examples-with-generative-models-1805.07894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-unrestricted-adversarial-examples-with-generative-models-1805.07894"/></url>
<url><loc>https://scifaro.com/en/abs/smoothout-smoothing-out-sharp-minima-to-improve-generalization-in-deep-learning-1805.07898</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothout-smoothing-out-sharp-minima-to-improve-generalization-in-deep-learning-1805.07898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothout-smoothing-out-sharp-minima-to-improve-generalization-in-deep-learning-1805.07898"/></url>
<url><loc>https://scifaro.com/en/abs/quickshift-provably-good-initializations-for-sample-based-mean-shift-1805.07909</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quickshift-provably-good-initializations-for-sample-based-mean-shift-1805.07909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quickshift-provably-good-initializations-for-sample-based-mean-shift-1805.07909"/></url>
<url><loc>https://scifaro.com/en/abs/imitating-latent-policies-from-observation-1805.07914</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitating-latent-policies-from-observation-1805.07914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitating-latent-policies-from-observation-1805.07914"/></url>
<url><loc>https://scifaro.com/en/abs/evolution-guided-policy-gradient-in-reinforcement-learning-1805.07917</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolution-guided-policy-gradient-in-reinforcement-learning-1805.07917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolution-guided-policy-gradient-in-reinforcement-learning-1805.07917"/></url>
<url><loc>https://scifaro.com/en/abs/quantizing-convolutional-neural-networks-for-low-power-high-throughput-inference-engines-1805.07941</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantizing-convolutional-neural-networks-for-low-power-high-throughput-inference-engines-1805.07941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantizing-convolutional-neural-networks-for-low-power-high-throughput-inference-engines-1805.07941"/></url>
<url><loc>https://scifaro.com/en/abs/relating-leverage-scores-and-density-using-regularized-christoffel-functions-1805.07943</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relating-leverage-scores-and-density-using-regularized-christoffel-functions-1805.07943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relating-leverage-scores-and-density-using-regularized-christoffel-functions-1805.07943"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-step-greedy-policies-in-online-and-approximate-reinforcement-learning-1805.07956</loc><lastmod>2018-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-step-greedy-policies-in-online-and-approximate-reinforcement-learning-1805.07956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-step-greedy-policies-in-online-and-approximate-reinforcement-learning-1805.07956"/></url>
<url><loc>https://scifaro.com/en/abs/energy-efficient-inference-accelerator-for-memory-augmented-neural-networks-on-an-fpga-1805.07978</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-efficient-inference-accelerator-for-memory-augmented-neural-networks-on-an-fpga-1805.07978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-efficient-inference-accelerator-for-memory-augmented-neural-networks-on-an-fpga-1805.07978"/></url>
<url><loc>https://scifaro.com/en/abs/a-tensor-based-sub-mode-coordinate-algorithm-for-stock-prediction-1805.07979</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tensor-based-sub-mode-coordinate-algorithm-for-stock-prediction-1805.07979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tensor-based-sub-mode-coordinate-algorithm-for-stock-prediction-1805.07979"/></url>
<url><loc>https://scifaro.com/en/abs/bidirectional-learning-for-robust-neural-networks-1805.08006</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bidirectional-learning-for-robust-neural-networks-1805.08006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bidirectional-learning-for-robust-neural-networks-1805.08006"/></url>
<url><loc>https://scifaro.com/en/abs/where-do-you-think-you-re-going-inferring-beliefs-about-dynamics-from-behavior-1805.08010</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/where-do-you-think-you-re-going-inferring-beliefs-about-dynamics-from-behavior-1805.08010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/where-do-you-think-you-re-going-inferring-beliefs-about-dynamics-from-behavior-1805.08010"/></url>
<url><loc>https://scifaro.com/en/abs/a-universal-framework-for-learning-the-elliptical-mixture-model-1805.08045</loc><lastmod>2020-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-universal-framework-for-learning-the-elliptical-mixture-model-1805.08045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-universal-framework-for-learning-the-elliptical-mixture-model-1805.08045"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-in-kernelized-markov-decision-processes-1805.08052</loc><lastmod>2019-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-in-kernelized-markov-decision-processes-1805.08052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-in-kernelized-markov-decision-processes-1805.08052"/></url>
<url><loc>https://scifaro.com/en/abs/newma-a-new-method-for-scalable-model-free-online-change-point-detection-1805.08061</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/newma-a-new-method-for-scalable-model-free-online-change-point-detection-1805.08061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/newma-a-new-method-for-scalable-model-free-online-change-point-detection-1805.08061"/></url>
<url><loc>https://scifaro.com/en/abs/faster-neural-network-training-with-approximate-tensor-operations-1805.08079</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-neural-network-training-with-approximate-tensor-operations-1805.08079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-neural-network-training-with-approximate-tensor-operations-1805.08079"/></url>
<url><loc>https://scifaro.com/en/abs/small-steps-and-giant-leaps-minimal-newton-solvers-for-deep-learning-1805.08095</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-steps-and-giant-leaps-minimal-newton-solvers-for-deep-learning-1805.08095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-steps-and-giant-leaps-minimal-newton-solvers-for-deep-learning-1805.08095"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-self-paced-learning-under-concave-conjugacy-theory-1805.08096</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-self-paced-learning-under-concave-conjugacy-theory-1805.08096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-self-paced-learning-under-concave-conjugacy-theory-1805.08096"/></url>
<url><loc>https://scifaro.com/en/abs/invariant-representations-from-adversarially-censored-autoencoders-1805.08097</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariant-representations-from-adversarially-censored-autoencoders-1805.08097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariant-representations-from-adversarially-censored-autoencoders-1805.08097"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-lower-bound-for-agnostic-learning-with-sample-compression-schemes-1805.08140</loc><lastmod>2018-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-lower-bound-for-agnostic-learning-with-sample-compression-schemes-1805.08140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-lower-bound-for-agnostic-learning-with-sample-compression-schemes-1805.08140"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-optimize-tensor-programs-1805.08166</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-optimize-tensor-programs-1805.08166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-optimize-tensor-programs-1805.08166"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-reinforcement-learning-with-hindsight-1805.08180</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-with-hindsight-1805.08180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-with-hindsight-1805.08180"/></url>
<url><loc>https://scifaro.com/en/abs/masking-a-new-perspective-of-noisy-supervision-1805.08193</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/masking-a-new-perspective-of-noisy-supervision-1805.08193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/masking-a-new-perspective-of-noisy-supervision-1805.08193"/></url>
<url><loc>https://scifaro.com/en/abs/learning-maximum-a-posteriori-perturbation-models-for-structured-prediction-in-polynomial-time-1805.08196</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-maximum-a-posteriori-perturbation-models-for-structured-prediction-in-polynomial-time-1805.08196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-maximum-a-posteriori-perturbation-models-for-structured-prediction-in-polynomial-time-1805.08196"/></url>
<url><loc>https://scifaro.com/en/abs/bias-reduced-uncertainty-estimation-for-deep-neural-classifiers-1805.08206</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-reduced-uncertainty-estimation-for-deep-neural-classifiers-1805.08206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-reduced-uncertainty-estimation-for-deep-neural-classifiers-1805.08206"/></url>
<url><loc>https://scifaro.com/en/abs/classifier-agnostic-saliency-map-extraction-1805.08249</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifier-agnostic-saliency-map-extraction-1805.08249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifier-agnostic-saliency-map-extraction-1805.08249"/></url>
<url><loc>https://scifaro.com/en/abs/sample-compression-for-real-valued-learners-1805.08254</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-compression-for-real-valued-learners-1805.08254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-compression-for-real-valued-learners-1805.08254"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-sketching-bounds-for-exp-concave-stochastic-minimization-1805.08268</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-sketching-bounds-for-exp-concave-stochastic-minimization-1805.08268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-sketching-bounds-for-exp-concave-stochastic-minimization-1805.08268"/></url>
<url><loc>https://scifaro.com/en/abs/data-efficient-hierarchical-reinforcement-learning-1805.08296</loc><lastmod>2018-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-efficient-hierarchical-reinforcement-learning-1805.08296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-efficient-hierarchical-reinforcement-learning-1805.08296"/></url>
<url><loc>https://scifaro.com/en/abs/geomstats-a-python-package-for-riemannian-geometry-in-machine-learning-1805.08308</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geomstats-a-python-package-for-riemannian-geometry-in-machine-learning-1805.08308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geomstats-a-python-package-for-riemannian-geometry-in-machine-learning-1805.08308"/></url>
<url><loc>https://scifaro.com/en/abs/axtrain-hardware-oriented-neural-network-training-for-approximate-inference-1805.08309</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/axtrain-hardware-oriented-neural-network-training-for-approximate-inference-1805.08309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/axtrain-hardware-oriented-neural-network-training-for-approximate-inference-1805.08309"/></url>
<url><loc>https://scifaro.com/en/abs/agilenet-lightweight-dictionary-based-few-shot-learning-1805.08311</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agilenet-lightweight-dictionary-based-few-shot-learning-1805.08311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agilenet-lightweight-dictionary-based-few-shot-learning-1805.08311"/></url>
<url><loc>https://scifaro.com/en/abs/learning-safe-policies-with-expert-guidance-1805.08313</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-safe-policies-with-expert-guidance-1805.08313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-safe-policies-with-expert-guidance-1805.08313"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-based-monte-carlo-optimization-for-nearest-neighbors-1805.08321</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-based-monte-carlo-optimization-for-nearest-neighbors-1805.08321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-based-monte-carlo-optimization-for-nearest-neighbors-1805.08321"/></url>
<url><loc>https://scifaro.com/en/abs/verifiable-reinforcement-learning-via-policy-extraction-1805.08328</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/verifiable-reinforcement-learning-via-policy-extraction-1805.08328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/verifiable-reinforcement-learning-via-policy-extraction-1805.08328"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-causal-tsallis-entropy-imitation-learning-1805.08336</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-causal-tsallis-entropy-imitation-learning-1805.08336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-causal-tsallis-entropy-imitation-learning-1805.08336"/></url>
<url><loc>https://scifaro.com/en/abs/a-solvable-high-dimensional-model-of-gan-1805.08349</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-solvable-high-dimensional-model-of-gan-1805.08349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-solvable-high-dimensional-model-of-gan-1805.08349"/></url>
<url><loc>https://scifaro.com/en/abs/opening-the-black-box-of-deep-learning-1805.08355</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opening-the-black-box-of-deep-learning-1805.08355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opening-the-black-box-of-deep-learning-1805.08355"/></url>
<url><loc>https://scifaro.com/en/abs/improved-algorithms-for-collaborative-pac-learning-1805.08356</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-algorithms-for-collaborative-pac-learning-1805.08356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-algorithms-for-collaborative-pac-learning-1805.08356"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-optimize-via-wasserstein-deep-inverse-optimal-control-1805.08395</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-optimize-via-wasserstein-deep-inverse-optimal-control-1805.08395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-optimize-via-wasserstein-deep-inverse-optimal-control-1805.08395"/></url>
<url><loc>https://scifaro.com/en/abs/adapted-deep-embeddings-a-synthesis-of-methods-for-k-shot-inductive-transfer-learning-1805.08402</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapted-deep-embeddings-a-synthesis-of-methods-for-k-shot-inductive-transfer-learning-1805.08402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapted-deep-embeddings-a-synthesis-of-methods-for-k-shot-inductive-transfer-learning-1805.08402"/></url>
<url><loc>https://scifaro.com/en/abs/classification-uncertainty-of-deep-neural-networks-based-on-gradient-information-1805.08440</loc><lastmod>2018-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-uncertainty-of-deep-neural-networks-based-on-gradient-information-1805.08440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-uncertainty-of-deep-neural-networks-based-on-gradient-information-1805.08440"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-with-hessian-free-approach-in-deep-neural-nets-training-1805.08462</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-with-hessian-free-approach-in-deep-neural-nets-training-1805.08462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-with-hessian-free-approach-in-deep-neural-nets-training-1805.08462"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-unfolding-exact-recovery-of-latent-convex-tensor-decomposition-under-reshuffling-1805.08465</loc><lastmod>2020-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-unfolding-exact-recovery-of-latent-convex-tensor-decomposition-under-reshuffling-1805.08465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-unfolding-exact-recovery-of-latent-convex-tensor-decomposition-under-reshuffling-1805.08465"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-energy-matching-for-distributed-asynchronous-gradient-descent-1805.08469</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-energy-matching-for-distributed-asynchronous-gradient-descent-1805.08469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-energy-matching-for-distributed-asynchronous-gradient-descent-1805.08469"/></url>
<url><loc>https://scifaro.com/en/abs/generative-code-modeling-with-graphs-1805.08490</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-code-modeling-with-graphs-1805.08490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-code-modeling-with-graphs-1805.08490"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-reparameterization-gradients-1805.08498</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-reparameterization-gradients-1805.08498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-reparameterization-gradients-1805.08498"/></url>
<url><loc>https://scifaro.com/en/abs/fully-understanding-the-hashing-trick-1805.08539</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-understanding-the-hashing-trick-1805.08539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-understanding-the-hashing-trick-1805.08539"/></url>
<url><loc>https://scifaro.com/en/abs/best-of-many-worlds-robust-model-selection-for-online-supervised-learning-1805.08562</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-of-many-worlds-robust-model-selection-for-online-supervised-learning-1805.08562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-of-many-worlds-robust-model-selection-for-online-supervised-learning-1805.08562"/></url>
<url><loc>https://scifaro.com/en/abs/global-navigation-using-predictable-and-slow-feature-analysis-in-multiroom-environments-path-planning-and-other-control-tasks-1805.08565</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-navigation-using-predictable-and-slow-feature-analysis-in-multiroom-environments-path-planning-and-other-control-tasks-1805.08565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-navigation-using-predictable-and-slow-feature-analysis-in-multiroom-environments-path-planning-and-other-control-tasks-1805.08565"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-the-activation-function-bottleneck-through-adaptive-parameterization-1805.08574</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-the-activation-function-bottleneck-through-adaptive-parameterization-1805.08574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-the-activation-function-bottleneck-through-adaptive-parameterization-1805.08574"/></url>
<url><loc>https://scifaro.com/en/abs/confounding-robust-policy-improvement-1805.08593</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confounding-robust-policy-improvement-1805.08593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confounding-robust-policy-improvement-1805.08593"/></url>
<url><loc>https://scifaro.com/en/abs/transitions-losses-and-re-parameterizations-elements-of-prediction-games-1805.08622</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transitions-losses-and-re-parameterizations-elements-of-prediction-games-1805.08622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transitions-losses-and-re-parameterizations-elements-of-prediction-games-1805.08622"/></url>
<url><loc>https://scifaro.com/en/abs/cost-aware-cascading-bandits-1805.08638</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-aware-cascading-bandits-1805.08638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-aware-cascading-bandits-1805.08638"/></url>
<url><loc>https://scifaro.com/en/abs/robust-conditional-generative-adversarial-networks-1805.08657</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-conditional-generative-adversarial-networks-1805.08657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-conditional-generative-adversarial-networks-1805.08657"/></url>
<url><loc>https://scifaro.com/en/abs/information-constraints-on-auto-encoding-variational-bayes-1805.08672</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-constraints-on-auto-encoding-variational-bayes-1805.08672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-constraints-on-auto-encoding-variational-bayes-1805.08672"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-of-word2vec-for-basket-completion-1805.08720</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-of-word2vec-for-basket-completion-1805.08720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-of-word2vec-for-basket-completion-1805.08720"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-and-theory-for-multiple-source-adaptation-1805.08727</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-and-theory-for-multiple-source-adaptation-1805.08727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-and-theory-for-multiple-source-adaptation-1805.08727"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-binary-compression-towards-distributed-deep-learning-with-minimal-communication-1805.08768</loc><lastmod>2018-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-binary-compression-towards-distributed-deep-learning-with-minimal-communication-1805.08768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-binary-compression-towards-distributed-deep-learning-with-minimal-communication-1805.08768"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-centralized-deep-multi-agent-reinforcement-learning-via-policy-gradients-1805.08776</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-centralized-deep-multi-agent-reinforcement-learning-via-policy-gradients-1805.08776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-centralized-deep-multi-agent-reinforcement-learning-via-policy-gradients-1805.08776"/></url>
<url><loc>https://scifaro.com/en/abs/mean-field-theory-of-activation-functions-in-deep-neural-networks-1805.08786</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-field-theory-of-activation-functions-in-deep-neural-networks-1805.08786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-field-theory-of-activation-functions-in-deep-neural-networks-1805.08786"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-task-learning-with-rkhss-1805.08809</loc><lastmod>2018-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-task-learning-with-rkhss-1805.08809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-task-learning-with-rkhss-1805.08809"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-what-both-theoreticians-and-practitioners-are-doing-wrong-1805.08838</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-what-both-theoreticians-and-practitioners-are-doing-wrong-1805.08838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-what-both-theoreticians-and-practitioners-are-doing-wrong-1805.08838"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-label-learning-1805.08877</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-label-learning-1805.08877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-label-learning-1805.08877"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-maximum-entropy-inverse-reinforcement-learning-1805.08882</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-maximum-entropy-inverse-reinforcement-learning-1805.08882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-maximum-entropy-inverse-reinforcement-learning-1805.08882"/></url>
<url><loc>https://scifaro.com/en/abs/step-size-matters-in-deep-learning-1805.08890</loc><lastmod>2018-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/step-size-matters-in-deep-learning-1805.08890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/step-size-matters-in-deep-learning-1805.08890"/></url>
<url><loc>https://scifaro.com/en/abs/echo-compiler-based-gpu-memory-footprint-reduction-for-lstm-rnn-training-1805.08899</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/echo-compiler-based-gpu-memory-footprint-reduction-for-lstm-rnn-training-1805.08899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/echo-compiler-based-gpu-memory-footprint-reduction-for-lstm-rnn-training-1805.08899"/></url>
<url><loc>https://scifaro.com/en/abs/affinitynet-semi-supervised-few-shot-learning-for-disease-type-prediction-1805.08905</loc><lastmod>2018-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/affinitynet-semi-supervised-few-shot-learning-for-disease-type-prediction-1805.08905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/affinitynet-semi-supervised-few-shot-learning-for-disease-type-prediction-1805.08905"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-newton-based-statistical-inference-using-only-stochastic-gradients-1805.08920</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-newton-based-statistical-inference-using-only-stochastic-gradients-1805.08920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-newton-based-statistical-inference-using-only-stochastic-gradients-1805.08920"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-random-dropout-1805.08939</loc><lastmod>2018-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-random-dropout-1805.08939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-random-dropout-1805.08939"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-coordinated-exploration-in-concurrent-reinforcement-learning-1805.08948</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-coordinated-exploration-in-concurrent-reinforcement-learning-1805.08948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-coordinated-exploration-in-concurrent-reinforcement-learning-1805.08948"/></url>
<url><loc>https://scifaro.com/en/abs/dictionary-learning-by-dynamical-neural-networks-1805.08952</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dictionary-learning-by-dynamical-neural-networks-1805.08952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dictionary-learning-by-dynamical-neural-networks-1805.08952"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-with-gans-revisiting-manifold-regularization-1805.08957</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-with-gans-revisiting-manifold-regularization-1805.08957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-with-gans-revisiting-manifold-regularization-1805.08957"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-blind-spots-in-reinforcement-learning-1805.08966</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-blind-spots-in-reinforcement-learning-1805.08966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-blind-spots-in-reinforcement-learning-1805.08966"/></url>
<url><loc>https://scifaro.com/en/abs/toward-a-thinking-microscope-deep-learning-in-optical-microscopy-and-image-reconstruction-1805.08970</loc><lastmod>2018-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-a-thinking-microscope-deep-learning-in-optical-microscopy-and-image-reconstruction-1805.08970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-a-thinking-microscope-deep-learning-in-optical-microscopy-and-image-reconstruction-1805.08970"/></url>
<url><loc>https://scifaro.com/en/abs/amortized-context-vector-inference-for-sequence-to-sequence-networks-1805.09039</loc><lastmod>2019-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortized-context-vector-inference-for-sequence-to-sequence-networks-1805.09039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortized-context-vector-inference-for-sequence-to-sequence-networks-1805.09039"/></url>
<url><loc>https://scifaro.com/en/abs/representation-balancing-mdps-for-off-policy-policy-evaluation-1805.09044</loc><lastmod>2019-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-balancing-mdps-for-off-policy-policy-evaluation-1805.09044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-balancing-mdps-for-off-policy-policy-evaluation-1805.09044"/></url>
<url><loc>https://scifaro.com/en/abs/when-simple-exploration-is-sample-efficient-identifying-sufficient-conditions-for-random-exploration-to-yield-pac-rl-algorithms-1805.09045</loc><lastmod>2019-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-simple-exploration-is-sample-efficient-identifying-sufficient-conditions-for-random-exploration-to-yield-pac-rl-algorithms-1805.09045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-simple-exploration-is-sample-efficient-identifying-sufficient-conditions-for-random-exploration-to-yield-pac-rl-algorithms-1805.09045"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-graph-variational-autoencoders-for-molecule-design-1805.09076</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-graph-variational-autoencoders-for-molecule-design-1805.09076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-graph-variational-autoencoders-for-molecule-design-1805.09076"/></url>
<url><loc>https://scifaro.com/en/abs/hyperbolic-neural-networks-1805.09112</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperbolic-neural-networks-1805.09112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperbolic-neural-networks-1805.09112"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-co-completion-for-multi-label-classification-with-missing-features-and-labels-1805.09156</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-co-completion-for-multi-label-classification-with-missing-features-and-labels-1805.09156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-co-completion-for-multi-label-classification-with-missing-features-and-labels-1805.09156"/></url>
<url><loc>https://scifaro.com/en/abs/learning-latent-variable-structured-prediction-models-with-gaussian-perturbations-1805.09213</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-latent-variable-structured-prediction-models-with-gaussian-perturbations-1805.09213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-latent-variable-structured-prediction-models-with-gaussian-perturbations-1805.09213"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-training-neural-networks-1805.09214</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-training-neural-networks-1805.09214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-training-neural-networks-1805.09214"/></url>
<url><loc>https://scifaro.com/en/abs/tight-bounds-for-collaborative-pac-learning-via-multiplicative-weights-1805.09217</loc><lastmod>2018-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-bounds-for-collaborative-pac-learning-via-multiplicative-weights-1805.09217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-bounds-for-collaborative-pac-learning-via-multiplicative-weights-1805.09217"/></url>
<url><loc>https://scifaro.com/en/abs/cramer-wold-autoencoder-1805.09235</loc><lastmod>2020-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cramer-wold-autoencoder-1805.09235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cramer-wold-autoencoder-1805.09235"/></url>
<url><loc>https://scifaro.com/en/abs/cleaning-up-the-neighborhood-a-full-classification-for-adversarial-partial-monitoring-1805.09247</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cleaning-up-the-neighborhood-a-full-classification-for-adversarial-partial-monitoring-1805.09247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cleaning-up-the-neighborhood-a-full-classification-for-adversarial-partial-monitoring-1805.09247"/></url>
<url><loc>https://scifaro.com/en/abs/collective-online-learning-of-gaussian-processes-in-massive-multi-agent-systems-1805.09266</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collective-online-learning-of-gaussian-processes-in-massive-multi-agent-systems-1805.09266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collective-online-learning-of-gaussian-processes-in-massive-multi-agent-systems-1805.09266"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-heterogeneous-teams-with-palo-bounds-1805.09267</loc><lastmod>2020-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-heterogeneous-teams-with-palo-bounds-1805.09267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-heterogeneous-teams-with-palo-bounds-1805.09267"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-optimize-contextually-constrained-problems-for-real-time-decision-generation-1805.09293</loc><lastmod>2022-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-optimize-contextually-constrained-problems-for-real-time-decision-generation-1805.09293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-optimize-contextually-constrained-problems-for-real-time-decision-generation-1805.09293"/></url>
<url><loc>https://scifaro.com/en/abs/learning-towards-minimum-hyperspherical-energy-1805.09298</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-towards-minimum-hyperspherical-energy-1805.09298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-towards-minimum-hyperspherical-energy-1805.09298"/></url>
<url><loc>https://scifaro.com/en/abs/input-and-weight-space-smoothing-for-semi-supervised-learning-1805.09302</loc><lastmod>2018-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/input-and-weight-space-smoothing-for-semi-supervised-learning-1805.09302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/input-and-weight-space-smoothing-for-semi-supervised-learning-1805.09302"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-of-marked-temporal-point-processes-1805.09360</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-of-marked-temporal-point-processes-1805.09360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-of-marked-temporal-point-processes-1805.09360"/></url>
<url><loc>https://scifaro.com/en/abs/learning-contextual-bandits-in-a-non-stationary-environment-1805.09365</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-contextual-bandits-in-a-non-stationary-environment-1805.09365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-contextual-bandits-in-a-non-stationary-environment-1805.09365"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-classification-by-reaching-consensus-among-modalities-1805.09366</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-classification-by-reaching-consensus-among-modalities-1805.09366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-classification-by-reaching-consensus-among-modalities-1805.09366"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-training-of-neural-networks-by-regularizing-adversarial-gradients-1805.09370</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-training-of-neural-networks-by-regularizing-adversarial-gradients-1805.09370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-training-of-neural-networks-by-regularizing-adversarial-gradients-1805.09370"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-local-smoothness-for-stochastic-gradient-methods-1805.09386</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-local-smoothness-for-stochastic-gradient-methods-1805.09386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-local-smoothness-for-stochastic-gradient-methods-1805.09386"/></url>
<url><loc>https://scifaro.com/en/abs/regret-bounds-for-robust-adaptive-control-of-the-linear-quadratic-regulator-1805.09388</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-bounds-for-robust-adaptive-control-of-the-linear-quadratic-regulator-1805.09388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-bounds-for-robust-adaptive-control-of-the-linear-quadratic-regulator-1805.09388"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-stochastic-gradient-langevin-dynamics-taming-convergence-and-saddle-point-escape-time-1805.09416</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-stochastic-gradient-langevin-dynamics-taming-convergence-and-saddle-point-escape-time-1805.09416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-stochastic-gradient-langevin-dynamics-taming-convergence-and-saddle-point-escape-time-1805.09416"/></url>
<url><loc>https://scifaro.com/en/abs/invariant-representations-without-adversarial-training-1805.09458</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariant-representations-without-adversarial-training-1805.09458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariant-representations-without-adversarial-training-1805.09458"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-sequence-to-sequence-models-1805.09461</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-sequence-to-sequence-models-1805.09461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-sequence-to-sequence-models-1805.09461"/></url>
<url><loc>https://scifaro.com/en/abs/simple-and-practical-algorithms-for-ell-p-norm-low-rank-approximation-1805.09464</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-and-practical-algorithms-for-ell-p-norm-low-rank-approximation-1805.09464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-and-practical-algorithms-for-ell-p-norm-low-rank-approximation-1805.09464"/></url>
<url><loc>https://scifaro.com/en/abs/taming-convergence-for-asynchronous-stochastic-gradient-descent-with-unbounded-delay-in-non-convex-learning-1805.09470</loc><lastmod>2020-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taming-convergence-for-asynchronous-stochastic-gradient-descent-with-unbounded-delay-in-non-convex-learning-1805.09470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taming-convergence-for-asynchronous-stochastic-gradient-descent-with-unbounded-delay-in-non-convex-learning-1805.09470"/></url>
<url><loc>https://scifaro.com/en/abs/deploy-large-scale-deep-neural-networks-in-resource-constrained-iot-devices-with-local-quantization-region-1805.09473</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deploy-large-scale-deep-neural-networks-in-resource-constrained-iot-devices-with-local-quantization-region-1805.09473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deploy-large-scale-deep-neural-networks-in-resource-constrained-iot-devices-with-local-quantization-region-1805.09473"/></url>
<url><loc>https://scifaro.com/en/abs/multi-level-deep-cascade-trees-for-conversion-rate-prediction-in-recommendation-system-1805.09484</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-level-deep-cascade-trees-for-conversion-rate-prediction-in-recommendation-system-1805.09484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-level-deep-cascade-trees-for-conversion-rate-prediction-in-recommendation-system-1805.09484"/></url>
<url><loc>https://scifaro.com/en/abs/intelligent-trainer-for-model-based-reinforcement-learning-1805.09496</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intelligent-trainer-for-model-based-reinforcement-learning-1805.09496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intelligent-trainer-for-model-based-reinforcement-learning-1805.09496"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-and-compositional-relation-learning-by-joint-training-with-an-autoencoder-1805.09547</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-and-compositional-relation-learning-by-joint-training-with-an-autoencoder-1805.09547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-and-compositional-relation-learning-by-joint-training-with-an-autoencoder-1805.09547"/></url>
<url><loc>https://scifaro.com/en/abs/backpropagation-with-n-d-vector-valued-neurons-using-arbitrary-bilinear-products-1805.09621</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backpropagation-with-n-d-vector-valued-neurons-using-arbitrary-bilinear-products-1805.09621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backpropagation-with-n-d-vector-valued-neurons-using-arbitrary-bilinear-products-1805.09621"/></url>
<url><loc>https://scifaro.com/en/abs/learning-convex-polyhedra-with-margin-1805.09719</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-convex-polyhedra-with-margin-1805.09719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-convex-polyhedra-with-margin-1805.09719"/></url>
<url><loc>https://scifaro.com/en/abs/geographical-hidden-markov-tree-for-flood-extent-mapping-with-proof-appendix-1805.09757</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geographical-hidden-markov-tree-for-flood-extent-mapping-with-proof-appendix-1805.09757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geographical-hidden-markov-tree-for-flood-extent-mapping-with-proof-appendix-1805.09757"/></url>
<url><loc>https://scifaro.com/en/abs/auto-detection-of-safety-issues-in-baby-products-1805.09772</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-detection-of-safety-issues-in-baby-products-1805.09772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-detection-of-safety-issues-in-baby-products-1805.09772"/></url>
<url><loc>https://scifaro.com/en/abs/entropy-and-mutual-information-in-models-of-deep-neural-networks-1805.09785</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropy-and-mutual-information-in-models-of-deep-neural-networks-1805.09785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropy-and-mutual-information-in-models-of-deep-neural-networks-1805.09785"/></url>
<url><loc>https://scifaro.com/en/abs/new-insights-into-bootstrapping-for-bandits-1805.09793</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-insights-into-bootstrapping-for-bandits-1805.09793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-insights-into-bootstrapping-for-bandits-1805.09793"/></url>
<url><loc>https://scifaro.com/en/abs/meta-gradient-reinforcement-learning-1805.09801</loc><lastmod>2018-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-gradient-reinforcement-learning-1805.09801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-gradient-reinforcement-learning-1805.09801"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-autoencoders-1805.09804</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-autoencoders-1805.09804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-autoencoders-1805.09804"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-rational-control-inferring-what-you-think-from-how-you-forage-1805.09864</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-rational-control-inferring-what-you-think-from-how-you-forage-1805.09864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-rational-control-inferring-what-you-think-from-how-you-forage-1805.09864"/></url>
<url><loc>https://scifaro.com/en/abs/performing-co-membership-attacks-against-deep-generative-models-1805.09898</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performing-co-membership-attacks-against-deep-generative-models-1805.09898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performing-co-membership-attacks-against-deep-generative-models-1805.09898"/></url>
<url><loc>https://scifaro.com/en/abs/deep-graph-translation-1805.09980</loc><lastmod>2018-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-graph-translation-1805.09980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-graph-translation-1805.09980"/></url>
<url><loc>https://scifaro.com/en/abs/safe-learning-based-optimal-motion-planning-for-automated-driving-1805.09994</loc><lastmod>2018-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-learning-based-optimal-motion-planning-for-automated-driving-1805.09994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-learning-based-optimal-motion-planning-for-automated-driving-1805.09994"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-propagate-labels-transductive-propagation-network-for-few-shot-learning-1805.10002</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-propagate-labels-transductive-propagation-network-for-few-shot-learning-1805.10002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-propagate-labels-transductive-propagation-network-for-few-shot-learning-1805.10002"/></url>
<url><loc>https://scifaro.com/en/abs/masked-conditional-neural-networks-for-environmental-sound-classification-1805.10004</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/masked-conditional-neural-networks-for-environmental-sound-classification-1805.10004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/masked-conditional-neural-networks-for-environmental-sound-classification-1805.10004"/></url>
<url><loc>https://scifaro.com/en/abs/finite-sample-analysis-of-lstd-with-random-projections-and-eligibility-traces-1805.10005</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-sample-analysis-of-lstd-with-random-projections-and-eligibility-traces-1805.10005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-sample-analysis-of-lstd-with-random-projections-and-eligibility-traces-1805.10005"/></url>
<url><loc>https://scifaro.com/en/abs/kong-kernels-for-ordered-neighborhood-graphs-1805.10014</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kong-kernels-for-ordered-neighborhood-graphs-1805.10014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kong-kernels-for-ordered-neighborhood-graphs-1805.10014"/></url>
<url><loc>https://scifaro.com/en/abs/zeno-distributed-stochastic-gradient-descent-with-suspicion-based-fault-tolerance-1805.10032</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zeno-distributed-stochastic-gradient-descent-with-suspicion-based-fault-tolerance-1805.10032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zeno-distributed-stochastic-gradient-descent-with-suspicion-based-fault-tolerance-1805.10032"/></url>
<url><loc>https://scifaro.com/en/abs/a-sliding-window-algorithm-for-markov-decision-processes-with-arbitrarily-changing-rewards-and-transitions-1805.10066</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sliding-window-algorithm-for-markov-decision-processes-with-arbitrarily-changing-rewards-and-transitions-1805.10066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sliding-window-algorithm-for-markov-decision-processes-with-arbitrarily-changing-rewards-and-transitions-1805.10066"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-optimality-of-stochastic-gradient-descent-on-hard-learning-problems-through-multiple-passes-1805.10074</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-optimality-of-stochastic-gradient-descent-on-hard-learning-problems-through-multiple-passes-1805.10074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-optimality-of-stochastic-gradient-descent-on-hard-learning-problems-through-multiple-passes-1805.10074"/></url>
<url><loc>https://scifaro.com/en/abs/tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning-1805.10123</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning-1805.10123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning-1805.10123"/></url>
<url><loc>https://scifaro.com/en/abs/dyna-planning-using-a-feature-based-generative-model-1805.10129</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dyna-planning-using-a-feature-based-generative-model-1805.10129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dyna-planning-using-a-feature-based-generative-model-1805.10129"/></url>
<url><loc>https://scifaro.com/en/abs/cross-domain-image-generation-through-latent-space-exploration-with-adversarial-loss-1805.10130</loc><lastmod>2018-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-domain-image-generation-through-latent-space-exploration-with-adversarial-loss-1805.10130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-domain-image-generation-through-latent-space-exploration-with-adversarial-loss-1805.10130"/></url>
<url><loc>https://scifaro.com/en/abs/laplacian-networks-bounding-indicator-function-smoothness-for-neural-network-robustness-1805.10133</loc><lastmod>2018-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/laplacian-networks-bounding-indicator-function-smoothness-for-neural-network-robustness-1805.10133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/laplacian-networks-bounding-indicator-function-smoothness-for-neural-network-robustness-1805.10133"/></url>
<url><loc>https://scifaro.com/en/abs/how-much-restricted-isometry-is-needed-in-nonconvex-matrix-recovery-1805.10251</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-much-restricted-isometry-is-needed-in-nonconvex-matrix-recovery-1805.10251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-much-restricted-isometry-is-needed-in-nonconvex-matrix-recovery-1805.10251"/></url>
<url><loc>https://scifaro.com/en/abs/learning-restricted-boltzmann-machines-via-influence-maximization-1805.10262</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-restricted-boltzmann-machines-via-influence-maximization-1805.10262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-restricted-boltzmann-machines-via-influence-maximization-1805.10262"/></url>
<url><loc>https://scifaro.com/en/abs/training-verified-learners-with-learned-verifiers-1805.10265</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-verified-learners-with-learned-verifiers-1805.10265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-verified-learners-with-learned-verifiers-1805.10265"/></url>
<url><loc>https://scifaro.com/en/abs/self-net-lifelong-learning-via-continual-self-modeling-1805.10354</loc><lastmod>2019-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-net-lifelong-learning-via-continual-self-modeling-1805.10354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-net-lifelong-learning-via-continual-self-modeling-1805.10354"/></url>
<url><loc>https://scifaro.com/en/abs/zeroth-order-stochastic-variance-reduction-for-nonconvex-optimization-1805.10367</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zeroth-order-stochastic-variance-reduction-for-nonconvex-optimization-1805.10367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zeroth-order-stochastic-variance-reduction-for-nonconvex-optimization-1805.10367"/></url>
<url><loc>https://scifaro.com/en/abs/stable-recurrent-models-1805.10369</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-recurrent-models-1805.10369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-recurrent-models-1805.10369"/></url>
<url><loc>https://scifaro.com/en/abs/ergodic-inference-accelerate-convergence-by-optimisation-1805.10377</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ergodic-inference-accelerate-convergence-by-optimisation-1805.10377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ergodic-inference-accelerate-convergence-by-optimisation-1805.10377"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-distance-metric-learning-with-uncertainty-1805.10384</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-distance-metric-learning-with-uncertainty-1805.10384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-distance-metric-learning-with-uncertainty-1805.10384"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-deep-kernel-learning-regression-with-unlabeled-data-by-minimizing-predictive-variance-1805.10407</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-deep-kernel-learning-regression-with-unlabeled-data-by-minimizing-predictive-variance-1805.10407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-deep-kernel-learning-regression-with-unlabeled-data-by-minimizing-predictive-variance-1805.10407"/></url>
<url><loc>https://scifaro.com/en/abs/the-singular-values-of-convolutional-layers-1805.10408</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-singular-values-of-convolutional-layers-1805.10408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-singular-values-of-convolutional-layers-1805.10408"/></url>
<url><loc>https://scifaro.com/en/abs/fast-policy-learning-through-imitation-and-reinforcement-1805.10413</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-policy-learning-through-imitation-and-reinforcement-1805.10413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-policy-learning-through-imitation-and-reinforcement-1805.10413"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-understanding-of-deep-learning-1805.10451</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-understanding-of-deep-learning-1805.10451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-understanding-of-deep-learning-1805.10451"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-inductive-matrix-completion-based-on-one-layer-neural-networks-1805.10477</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-inductive-matrix-completion-based-on-one-layer-neural-networks-1805.10477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-inductive-matrix-completion-based-on-one-layer-neural-networks-1805.10477"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-constraint-learning-for-structured-prediction-1805.10561</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-constraint-learning-for-structured-prediction-1805.10561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-constraint-learning-for-structured-prediction-1805.10561"/></url>
<url><loc>https://scifaro.com/en/abs/brits-bidirectional-recurrent-imputation-for-time-series-1805.10572</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/brits-bidirectional-recurrent-imputation-for-time-series-1805.10572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/brits-bidirectional-recurrent-imputation-for-time-series-1805.10572"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-network-model-from-partial-observations-1805.10616</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-network-model-from-partial-observations-1805.10616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-network-model-from-partial-observations-1805.10616"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-graph-markov-model-a-deep-and-generative-approach-to-graph-processing-1805.10636</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-graph-markov-model-a-deep-and-generative-approach-to-graph-processing-1805.10636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-graph-markov-model-a-deep-and-generative-approach-to-graph-processing-1805.10636"/></url>
<url><loc>https://scifaro.com/en/abs/fast-k-means-clustering-with-anderson-acceleration-1805.10638</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-k-means-clustering-with-anderson-acceleration-1805.10638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-k-means-clustering-with-anderson-acceleration-1805.10638"/></url>
<url><loc>https://scifaro.com/en/abs/fingerprint-policy-optimisation-for-robust-reinforcement-learning-1805.10662</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fingerprint-policy-optimisation-for-robust-reinforcement-learning-1805.10662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fingerprint-policy-optimisation-for-robust-reinforcement-learning-1805.10662"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-deformation-regularization-for-training-image-registration-neural-networks-1805.10665</loc><lastmod>2018-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-deformation-regularization-for-training-image-registration-neural-networks-1805.10665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-deformation-regularization-for-training-image-registration-neural-networks-1805.10665"/></url>
<url><loc>https://scifaro.com/en/abs/compact-and-computationally-efficient-representation-of-deep-neural-networks-1805.10692</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compact-and-computationally-efficient-representation-of-deep-neural-networks-1805.10692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compact-and-computationally-efficient-representation-of-deep-neural-networks-1805.10692"/></url>
<url><loc>https://scifaro.com/en/abs/retainvis-visual-analytics-with-interpretable-and-interactive-recurrent-neural-networks-on-electronic-medical-records-1805.10724</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/retainvis-visual-analytics-with-interpretable-and-interactive-recurrent-neural-networks-on-electronic-medical-records-1805.10724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/retainvis-visual-analytics-with-interpretable-and-interactive-recurrent-neural-networks-on-electronic-medical-records-1805.10724"/></url>
<url><loc>https://scifaro.com/en/abs/dual-policy-iteration-1805.10755</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-policy-iteration-1805.10755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-policy-iteration-1805.10755"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-generalization-and-optimization-performance-of-deep-cnns-1805.10767</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-generalization-and-optimization-performance-of-deep-cnns-1805.10767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-generalization-and-optimization-performance-of-deep-cnns-1805.10767"/></url>
<url><loc>https://scifaro.com/en/abs/universality-of-deep-convolutional-neural-networks-1805.10769</loc><lastmod>2018-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universality-of-deep-convolutional-neural-networks-1805.10769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universality-of-deep-convolutional-neural-networks-1805.10769"/></url>
<url><loc>https://scifaro.com/en/abs/gpgpu-linear-complexity-t-sne-optimization-1805.10817</loc><lastmod>2019-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gpgpu-linear-complexity-t-sne-optimization-1805.10817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gpgpu-linear-complexity-t-sne-optimization-1805.10817"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-real-time-recurrent-learning-with-random-kronecker-factors-1805.10842</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-real-time-recurrent-learning-with-random-kronecker-factors-1805.10842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-real-time-recurrent-learning-with-random-kronecker-factors-1805.10842"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-weight-consolidation-a-brain-segmentation-case-study-1805.10863</loc><lastmod>2019-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-weight-consolidation-a-brain-segmentation-case-study-1805.10863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-weight-consolidation-a-brain-segmentation-case-study-1805.10863"/></url>
<url><loc>https://scifaro.com/en/abs/importance-weighted-transfer-of-samples-in-reinforcement-learning-1805.10886</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-weighted-transfer-of-samples-in-reinforcement-learning-1805.10886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-weighted-transfer-of-samples-in-reinforcement-learning-1805.10886"/></url>
<url><loc>https://scifaro.com/en/abs/block-optimized-variable-bit-rate-neural-image-compression-1805.10887</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-optimized-variable-bit-rate-neural-image-compression-1805.10887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-optimized-variable-bit-rate-neural-image-compression-1805.10887"/></url>
<url><loc>https://scifaro.com/en/abs/dirichlet-based-gaussian-processes-for-large-scale-calibrated-classification-1805.10915</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dirichlet-based-gaussian-processes-for-large-scale-calibrated-classification-1805.10915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dirichlet-based-gaussian-processes-for-large-scale-calibrated-classification-1805.10915"/></url>
<url><loc>https://scifaro.com/en/abs/deep-anomaly-detection-using-geometric-transformations-1805.10917</loc><lastmod>2018-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-anomaly-detection-using-geometric-transformations-1805.10917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-anomaly-detection-using-geometric-transformations-1805.10917"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-neural-network-classifier-for-decoding-meg-signals-1805.10981</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-neural-network-classifier-for-decoding-meg-signals-1805.10981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-neural-network-classifier-for-decoding-meg-signals-1805.10981"/></url>
<url><loc>https://scifaro.com/en/abs/dynamically-sacrificing-accuracy-for-reduced-computation-cascaded-inference-based-on-softmax-confidence-1805.10982</loc><lastmod>2020-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamically-sacrificing-accuracy-for-reduced-computation-cascaded-inference-based-on-softmax-confidence-1805.10982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamically-sacrificing-accuracy-for-reduced-computation-cascaded-inference-based-on-softmax-confidence-1805.10982"/></url>
<url><loc>https://scifaro.com/en/abs/deeply-learning-molecular-structure-property-relationships-using-attention-and-gate-augmented-graph-convolutional-network-1805.10988</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeply-learning-molecular-structure-property-relationships-using-attention-and-gate-augmented-graph-convolutional-network-1805.10988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeply-learning-molecular-structure-property-relationships-using-attention-and-gate-augmented-graph-convolutional-network-1805.10988"/></url>
<url><loc>https://scifaro.com/en/abs/memory-augmented-self-play-1805.11016</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-augmented-self-play-1805.11016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-augmented-self-play-1805.11016"/></url>
<url><loc>https://scifaro.com/en/abs/online-influence-maximization-with-local-observations-1805.11022</loc><lastmod>2018-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-influence-maximization-with-local-observations-1805.11022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-influence-maximization-with-local-observations-1805.11022"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-methods-for-8-bit-training-of-neural-networks-1805.11046</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-methods-for-8-bit-training-of-neural-networks-1805.11046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-methods-for-8-bit-training-of-neural-networks-1805.11046"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-spectral-clustering-using-random-binning-features-1805.11048</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-spectral-clustering-using-random-binning-features-1805.11048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-spectral-clustering-using-random-binning-features-1805.11048"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-models-for-distribution-preserving-lossy-compression-1805.11057</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-models-for-distribution-preserving-lossy-compression-1805.11057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-models-for-distribution-preserving-lossy-compression-1805.11057"/></url>
<url><loc>https://scifaro.com/en/abs/theory-and-experiments-on-vector-quantized-autoencoders-1805.11063</loc><lastmod>2018-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-and-experiments-on-vector-quantized-autoencoders-1805.11063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-and-experiments-on-vector-quantized-autoencoders-1805.11063"/></url>
<url><loc>https://scifaro.com/en/abs/reward-constrained-policy-optimization-1805.11074</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reward-constrained-policy-optimization-1805.11074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reward-constrained-policy-optimization-1805.11074"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-in-ice-hockey-for-context-aware-player-evaluation-1805.11088</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-in-ice-hockey-for-context-aware-player-evaluation-1805.11088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-in-ice-hockey-for-context-aware-player-evaluation-1805.11088"/></url>
<url><loc>https://scifaro.com/en/abs/genattack-practical-black-box-attacks-with-gradient-free-optimization-1805.11090</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/genattack-practical-black-box-attacks-with-gradient-free-optimization-1805.11090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/genattack-practical-black-box-attacks-with-gradient-free-optimization-1805.11090"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-particle-filters-end-to-end-learning-with-algorithmic-priors-1805.11122</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-particle-filters-end-to-end-learning-with-algorithmic-priors-1805.11122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-particle-filters-end-to-end-learning-with-algorithmic-priors-1805.11122"/></url>
<url><loc>https://scifaro.com/en/abs/gesf-a-universal-discriminative-mapping-mechanism-for-graph-representation-learning-1805.11182</loc><lastmod>2018-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gesf-a-universal-discriminative-mapping-mechanism-for-graph-representation-learning-1805.11182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gesf-a-universal-discriminative-mapping-mechanism-for-graph-representation-learning-1805.11182"/></url>
<url><loc>https://scifaro.com/en/abs/fairgan-fairness-aware-generative-adversarial-networks-1805.11202</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairgan-fairness-aware-generative-adversarial-networks-1805.11202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairgan-fairness-aware-generative-adversarial-networks-1805.11202"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-recurrent-model-on-the-manifold-of-symmetric-positive-definite-matrices-1805.11204</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-recurrent-model-on-the-manifold-of-symmetric-positive-definite-matrices-1805.11204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-recurrent-model-on-the-manifold-of-symmetric-positive-definite-matrices-1805.11204"/></url>
<url><loc>https://scifaro.com/en/abs/mba-mini-batch-auc-optimization-1805.11221</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mba-mini-batch-auc-optimization-1805.11221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mba-mini-batch-auc-optimization-1805.11221"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-alignment-of-embeddings-with-wasserstein-procrustes-1805.11222</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-alignment-of-embeddings-with-wasserstein-procrustes-1805.11222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-alignment-of-embeddings-with-wasserstein-procrustes-1805.11222"/></url>
<url><loc>https://scifaro.com/en/abs/currency-exchange-prediction-using-machine-learning-genetic-algorithms-and-technical-analysis-1805.11232</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/currency-exchange-prediction-using-machine-learning-genetic-algorithms-and-technical-analysis-1805.11232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/currency-exchange-prediction-using-machine-learning-genetic-algorithms-and-technical-analysis-1805.11232"/></url>
<url><loc>https://scifaro.com/en/abs/retraining-based-iterative-weight-quantization-for-deep-neural-networks-1805.11233</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/retraining-based-iterative-weight-quantization-for-deep-neural-networks-1805.11233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/retraining-based-iterative-weight-quantization-for-deep-neural-networks-1805.11233"/></url>
<url><loc>https://scifaro.com/en/abs/truncated-horizon-policy-search-combining-reinforcement-learning-imitation-learning-1805.11240</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truncated-horizon-policy-search-combining-reinforcement-learning-imitation-learning-1805.11240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truncated-horizon-policy-search-combining-reinforcement-learning-imitation-learning-1805.11240"/></url>
<url><loc>https://scifaro.com/en/abs/on-robust-trimming-of-bayesian-network-classifiers-1805.11243</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-robust-trimming-of-bayesian-network-classifiers-1805.11243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-robust-trimming-of-bayesian-network-classifiers-1805.11243"/></url>
<url><loc>https://scifaro.com/en/abs/hamiltonian-variational-auto-encoder-1805.11328</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamiltonian-variational-auto-encoder-1805.11328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamiltonian-variational-auto-encoder-1805.11328"/></url>
<url><loc>https://scifaro.com/en/abs/lovasz-convolutional-networks-1805.11365</loc><lastmod>2019-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lovasz-convolutional-networks-1805.11365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lovasz-convolutional-networks-1805.11365"/></url>
<url><loc>https://scifaro.com/en/abs/representational-power-of-relu-networks-and-polynomial-kernels-beyond-worst-case-analysis-1805.11405</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representational-power-of-relu-networks-and-polynomial-kernels-beyond-worst-case-analysis-1805.11405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representational-power-of-relu-networks-and-polynomial-kernels-beyond-worst-case-analysis-1805.11405"/></url>
<url><loc>https://scifaro.com/en/abs/virtuously-safe-reinforcement-learning-1805.11447</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/virtuously-safe-reinforcement-learning-1805.11447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/virtuously-safe-reinforcement-learning-1805.11447"/></url>
<url><loc>https://scifaro.com/en/abs/focal-onset-seizure-prediction-using-convolutional-networks-1805.11576</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/focal-onset-seizure-prediction-using-convolutional-networks-1805.11576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/focal-onset-seizure-prediction-using-convolutional-networks-1805.11576"/></url>
<url><loc>https://scifaro.com/en/abs/playing-hard-exploration-games-by-watching-youtube-1805.11592</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/playing-hard-exploration-games-by-watching-youtube-1805.11592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/playing-hard-exploration-games-by-watching-youtube-1805.11592"/></url>
<url><loc>https://scifaro.com/en/abs/observe-and-look-further-achieving-consistent-performance-on-atari-1805.11593</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/observe-and-look-further-achieving-consistent-performance-on-atari-1805.11593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/observe-and-look-further-achieving-consistent-performance-on-atari-1805.11593"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-under-privileged-information-using-heteroscedastic-dropout-1805.11614</loc><lastmod>2018-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-under-privileged-information-using-heteroscedastic-dropout-1805.11614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-under-privileged-information-using-heteroscedastic-dropout-1805.11614"/></url>
<url><loc>https://scifaro.com/en/abs/k-beam-minimax-efficient-optimization-for-deep-adversarial-learning-1805.11640</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-beam-minimax-efficient-optimization-for-deep-adversarial-learning-1805.11640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-beam-minimax-efficient-optimization-for-deep-adversarial-learning-1805.11640"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-robust-sparse-regression-1805.11643</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-robust-sparse-regression-1805.11643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-robust-sparse-regression-1805.11643"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inverse-control-with-events-a-general-framework-for-data-driven-reward-definition-1805.11686</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inverse-control-with-events-a-general-framework-for-data-driven-reward-definition-1805.11686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inverse-control-with-events-a-general-framework-for-data-driven-reward-definition-1805.11686"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-policy-update-for-deep-reinforcement-learning-1805.11706</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-policy-update-for-deep-reinforcement-learning-1805.11706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-policy-update-for-deep-reinforcement-learning-1805.11706"/></url>
<url><loc>https://scifaro.com/en/abs/active-and-adaptive-sequential-learning-1805.11710</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-and-adaptive-sequential-learning-1805.11710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-and-adaptive-sequential-learning-1805.11710"/></url>
<url><loc>https://scifaro.com/en/abs/depth-and-nonlinearity-induce-implicit-exploration-for-rl-1805.11711</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depth-and-nonlinearity-induce-implicit-exploration-for-rl-1805.11711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depth-and-nonlinearity-induce-implicit-exploration-for-rl-1805.11711"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-multi-clustering-method-for-hierarchical-clusterings-based-on-boosting-1805.11712</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-multi-clustering-method-for-hierarchical-clusterings-based-on-boosting-1805.11712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-multi-clustering-method-for-hierarchical-clusterings-based-on-boosting-1805.11712"/></url>
<url><loc>https://scifaro.com/en/abs/grow-and-prune-compact-fast-and-accurate-lstms-1805.11797</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grow-and-prune-compact-fast-and-accurate-lstms-1805.11797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grow-and-prune-compact-fast-and-accurate-lstms-1805.11797"/></url>
<url><loc>https://scifaro.com/en/abs/adagio-interactive-experimentation-with-adversarial-attack-and-defense-for-audio-1805.11852</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adagio-interactive-experimentation-with-adversarial-attack-and-defense-for-audio-1805.11852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adagio-interactive-experimentation-with-adversarial-attack-and-defense-for-audio-1805.11852"/></url>
<url><loc>https://scifaro.com/en/abs/foresee-attentive-future-projections-of-chaotic-road-environments-with-online-training-1805.11861</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/foresee-attentive-future-projections-of-chaotic-road-environments-with-online-training-1805.11861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/foresee-attentive-future-projections-of-chaotic-road-environments-with-online-training-1805.11861"/></url>
<url><loc>https://scifaro.com/en/abs/anonymous-walk-embeddings-1805.11921</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anonymous-walk-embeddings-1805.11921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anonymous-walk-embeddings-1805.11921"/></url>
<url><loc>https://scifaro.com/en/abs/algebraic-expression-of-subjective-spatial-and-temporal-patterns-1805.11959</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algebraic-expression-of-subjective-spatial-and-temporal-patterns-1805.11959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algebraic-expression-of-subjective-spatial-and-temporal-patterns-1805.11959"/></url>
<url><loc>https://scifaro.com/en/abs/l0-norm-based-centers-selection-for-training-fault-tolerant-rbf-networks-and-selecting-centers-1805.11987</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l0-norm-based-centers-selection-for-training-fault-tolerant-rbf-networks-and-selecting-centers-1805.11987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l0-norm-based-centers-selection-for-training-fault-tolerant-rbf-networks-and-selecting-centers-1805.11987"/></url>
<url><loc>https://scifaro.com/en/abs/robustifying-models-against-adversarial-attacks-by-langevin-dynamics-1805.12017</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustifying-models-against-adversarial-attacks-by-langevin-dynamics-1805.12017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustifying-models-against-adversarial-attacks-by-langevin-dynamics-1805.12017"/></url>
<url><loc>https://scifaro.com/en/abs/towards-adversarial-configurations-for-software-product-lines-1805.12021</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-adversarial-configurations-for-software-product-lines-1805.12021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-adversarial-configurations-for-software-product-lines-1805.12021"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-aware-offloading-of-deep-neural-networks-1805.12024</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-aware-offloading-of-deep-neural-networks-1805.12024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-aware-offloading-of-deep-neural-networks-1805.12024"/></url>
<url><loc>https://scifaro.com/en/abs/sobolev-descent-1805.12062</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sobolev-descent-1805.12062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sobolev-descent-1805.12062"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-the-role-of-over-parametrization-in-generalization-of-neural-networks-1805.12076</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-the-role-of-over-parametrization-in-generalization-of-neural-networks-1805.12076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-the-role-of-over-parametrization-in-generalization-of-neural-networks-1805.12076"/></url>
<url><loc>https://scifaro.com/en/abs/mpdcompress-matrix-permutation-decomposition-algorithm-for-deep-neural-network-compression-1805.12085</loc><lastmod>2018-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mpdcompress-matrix-permutation-decomposition-algorithm-for-deep-neural-network-compression-1805.12085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mpdcompress-matrix-permutation-decomposition-algorithm-for-deep-neural-network-compression-1805.12085"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-in-a-handful-of-trials-using-probabilistic-dynamics-models-1805.12114</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-in-a-handful-of-trials-using-probabilistic-dynamics-models-1805.12114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-in-a-handful-of-trials-using-probabilistic-dynamics-models-1805.12114"/></url>
<url><loc>https://scifaro.com/en/abs/a-flexible-framework-for-multi-objective-bayesian-optimization-using-random-scalarizations-1805.12168</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-flexible-framework-for-multi-objective-bayesian-optimization-using-random-scalarizations-1805.12168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-flexible-framework-for-multi-objective-bayesian-optimization-using-random-scalarizations-1805.12168"/></url>
<url><loc>https://scifaro.com/en/abs/deep-segment-hash-learning-for-music-generation-1805.12176</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-segment-hash-learning-for-music-generation-1805.12176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-segment-hash-learning-for-music-generation-1805.12176"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-embedded-networks-for-population-scale-clustering-and-bio-ancestry-inferencing-1805.12218</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-embedded-networks-for-population-scale-clustering-and-bio-ancestry-inferencing-1805.12218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-embedded-networks-for-population-scale-clustering-and-bio-ancestry-inferencing-1805.12218"/></url>
<url><loc>https://scifaro.com/en/abs/how-important-is-a-neuron-1805.12233</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-important-is-a-neuron-1805.12233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-important-is-a-neuron-1805.12233"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-reinforcement-learning-algorithms-in-observational-health-settings-1805.12298</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-reinforcement-learning-algorithms-in-observational-health-settings-1805.12298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-reinforcement-learning-algorithms-in-observational-health-settings-1805.12298"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-attack-and-gumbel-attack-generating-adversarial-examples-for-discrete-data-1805.12316</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-attack-and-gumbel-attack-generating-adversarial-examples-for-discrete-data-1805.12316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-attack-and-gumbel-attack-generating-adversarial-examples-for-discrete-data-1805.12316"/></url>
<url><loc>https://scifaro.com/en/abs/multiaccuracy-black-box-post-processing-for-fairness-in-classification-1805.12317</loc><lastmod>2018-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiaccuracy-black-box-post-processing-for-fairness-in-classification-1805.12317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiaccuracy-black-box-post-processing-for-fairness-in-classification-1805.12317"/></url>
<url><loc>https://scifaro.com/en/abs/a-divide-and-conquer-approach-to-geometric-sampling-for-active-learning-1805.12321</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-divide-and-conquer-approach-to-geometric-sampling-for-active-learning-1805.12321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-divide-and-conquer-approach-to-geometric-sampling-for-active-learning-1805.12321"/></url>
<url><loc>https://scifaro.com/en/abs/deep-energy-unsupervised-training-of-deep-neural-networks-1805.12355</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-energy-unsupervised-training-of-deep-neural-networks-1805.12355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-energy-unsupervised-training-of-deep-neural-networks-1805.12355"/></url>
<url><loc>https://scifaro.com/en/abs/reinforced-continual-learning-1805.12369</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforced-continual-learning-1805.12369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforced-continual-learning-1805.12369"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-deep-reinforcement-learning-via-episodic-backward-update-1805.12375</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-deep-reinforcement-learning-via-episodic-backward-update-1805.12375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-deep-reinforcement-learning-via-episodic-backward-update-1805.12375"/></url>
<url><loc>https://scifaro.com/en/abs/imbalanced-ensemble-classifier-for-learning-from-imbalanced-business-school-data-set-1805.12381</loc><lastmod>2022-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imbalanced-ensemble-classifier-for-learning-from-imbalanced-business-school-data-set-1805.12381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imbalanced-ensemble-classifier-for-learning-from-imbalanced-business-school-data-set-1805.12381"/></url>
<url><loc>https://scifaro.com/en/abs/agents-and-devices-a-relative-definition-of-agency-1805.12387</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agents-and-devices-a-relative-definition-of-agency-1805.12387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agents-and-devices-a-relative-definition-of-agency-1805.12387"/></url>
<url><loc>https://scifaro.com/en/abs/kg-2-learning-to-reason-science-exam-questions-with-contextual-knowledge-graph-embeddings-1805.12393</loc><lastmod>2018-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kg-2-learning-to-reason-science-exam-questions-with-contextual-knowledge-graph-embeddings-1805.12393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kg-2-learning-to-reason-science-exam-questions-with-contextual-knowledge-graph-embeddings-1805.12393"/></url>
<url><loc>https://scifaro.com/en/abs/hopf-higher-order-propagation-framework-for-deep-collective-classification-1805.12421</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hopf-higher-order-propagation-framework-for-deep-collective-classification-1805.12421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hopf-higher-order-propagation-framework-for-deep-collective-classification-1805.12421"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-attacks-on-agents-for-long-term-adversarial-goals-1805.12487</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-attacks-on-agents-for-long-term-adversarial-goals-1805.12487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-attacks-on-agents-for-long-term-adversarial-goals-1805.12487"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-provable-adversarial-defenses-1805.12514</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-provable-adversarial-defenses-1805.12514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-provable-adversarial-defenses-1805.12514"/></url>
<url><loc>https://scifaro.com/en/abs/fusion-graph-convolutional-networks-1805.12528</loc><lastmod>2018-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fusion-graph-convolutional-networks-1805.12528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fusion-graph-convolutional-networks-1805.12528"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-fast-structured-dictionary-learning-1805.12529</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-fast-structured-dictionary-learning-1805.12529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-fast-structured-dictionary-learning-1805.12529"/></url>
<url><loc>https://scifaro.com/en/abs/channel-gating-neural-networks-1805.12549</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/channel-gating-neural-networks-1805.12549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/channel-gating-neural-networks-1805.12549"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-prior-over-intent-via-meta-inverse-reinforcement-learning-1805.12573</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-prior-over-intent-via-meta-inverse-reinforcement-learning-1805.12573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-prior-over-intent-via-meta-inverse-reinforcement-learning-1805.12573"/></url>
<url><loc>https://scifaro.com/en/abs/a-mixture-model-for-aggregation-of-multiple-pre-trained-weak-classifiers-1806.00003</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mixture-model-for-aggregation-of-multiple-pre-trained-weak-classifiers-1806.00003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mixture-model-for-aggregation-of-multiple-pre-trained-weak-classifiers-1806.00003"/></url>
<url><loc>https://scifaro.com/en/abs/multi-layered-gradient-boosting-decision-trees-1806.00007</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-layered-gradient-boosting-decision-trees-1806.00007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-layered-gradient-boosting-decision-trees-1806.00007"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-algorithms-and-lower-bounds-for-robust-linear-regression-1806.00040</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-algorithms-and-lower-bounds-for-robust-linear-regression-1806.00040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-algorithms-and-lower-bounds-for-robust-linear-regression-1806.00040"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-set-functions-1806.00050</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-set-functions-1806.00050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-set-functions-1806.00050"/></url>
<url><loc>https://scifaro.com/en/abs/defending-against-machine-learning-model-stealing-attacks-using-deceptive-perturbations-1806.00054</loc><lastmod>2018-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defending-against-machine-learning-model-stealing-attacks-using-deceptive-perturbations-1806.00054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defending-against-machine-learning-model-stealing-attacks-using-deceptive-perturbations-1806.00054"/></url>
<url><loc>https://scifaro.com/en/abs/resisting-adversarial-attacks-using-gaussian-mixture-variational-autoencoders-1806.00081</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resisting-adversarial-attacks-using-gaussian-mixture-variational-autoencoders-1806.00081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resisting-adversarial-attacks-using-gaussian-mixture-variational-autoencoders-1806.00081"/></url>
<url><loc>https://scifaro.com/en/abs/peernets-exploiting-peer-wisdom-against-adversarial-attacks-1806.00088</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/peernets-exploiting-peer-wisdom-against-adversarial-attacks-1806.00088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/peernets-exploiting-peer-wisdom-against-adversarial-attacks-1806.00088"/></url>
<url><loc>https://scifaro.com/en/abs/training-lstm-networks-with-resistive-cross-point-devices-1806.00166</loc><lastmod>2023-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-lstm-networks-with-resistive-cross-point-devices-1806.00166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-lstm-networks-with-resistive-cross-point-devices-1806.00166"/></url>
<url><loc>https://scifaro.com/en/abs/reparameterization-gradient-for-non-differentiable-models-1806.00176</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reparameterization-gradient-for-non-differentiable-models-1806.00176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reparameterization-gradient-for-non-differentiable-models-1806.00176"/></url>
<url><loc>https://scifaro.com/en/abs/the-nonlinearity-coefficient-predicting-generalization-in-deep-neural-networks-1806.00179</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-nonlinearity-coefficient-predicting-generalization-in-deep-neural-networks-1806.00179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-nonlinearity-coefficient-predicting-generalization-in-deep-neural-networks-1806.00179"/></url>
<url><loc>https://scifaro.com/en/abs/tapas-train-less-accuracy-predictor-for-architecture-search-1806.00250</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tapas-train-less-accuracy-predictor-for-architecture-search-1806.00250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tapas-train-less-accuracy-predictor-for-architecture-search-1806.00250"/></url>
<url><loc>https://scifaro.com/en/abs/a-reinforcement-learning-approach-to-age-of-information-in-multi-user-networks-1806.00336</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reinforcement-learning-approach-to-age-of-information-in-multi-user-networks-1806.00336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reinforcement-learning-approach-to-age-of-information-in-multi-user-networks-1806.00336"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-challenges-and-opportunities-in-machine-learning-for-health-1806.00388</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-challenges-and-opportunities-in-machine-learning-for-health-1806.00388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-challenges-and-opportunities-in-machine-learning-for-health-1806.00388"/></url>
<url><loc>https://scifaro.com/en/abs/global-linear-convergence-of-newton-s-method-without-strong-convexity-or-lipschitz-gradients-1806.00413</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-linear-convergence-of-newton-s-method-without-strong-convexity-or-lipschitz-gradients-1806.00413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-linear-convergence-of-newton-s-method-without-strong-convexity-or-lipschitz-gradients-1806.00413"/></url>
<url><loc>https://scifaro.com/en/abs/pattern-search-multidimensional-scaling-1806.00416</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pattern-search-multidimensional-scaling-1806.00416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pattern-search-multidimensional-scaling-1806.00416"/></url>
<url><loc>https://scifaro.com/en/abs/large-margin-classification-in-hyperbolic-space-1806.00437</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-margin-classification-in-hyperbolic-space-1806.00437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-margin-classification-in-hyperbolic-space-1806.00437"/></url>
<url><loc>https://scifaro.com/en/abs/do-cifar-10-classifiers-generalize-to-cifar-10-1806.00451</loc><lastmod>2018-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-cifar-10-classifiers-generalize-to-cifar-10-1806.00451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-cifar-10-classifiers-generalize-to-cifar-10-1806.00451"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-bias-of-gradient-descent-on-linear-convolutional-networks-1806.00468</loc><lastmod>2019-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-bias-of-gradient-descent-on-linear-convolutional-networks-1806.00468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-bias-of-gradient-descent-on-linear-convolutional-networks-1806.00468"/></url>
<url><loc>https://scifaro.com/en/abs/backpropagation-for-implicit-spectral-densities-1806.00499</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backpropagation-for-implicit-spectral-densities-1806.00499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backpropagation-for-implicit-spectral-densities-1806.00499"/></url>
<url><loc>https://scifaro.com/en/abs/semi-recurrent-cnn-based-vae-gan-for-sequential-data-generation-1806.00509</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-recurrent-cnn-based-vae-gan-for-sequential-data-generation-1806.00509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-recurrent-cnn-based-vae-gan-for-sequential-data-generation-1806.00509"/></url>
<url><loc>https://scifaro.com/en/abs/structurally-sparsified-backward-propagation-for-faster-long-short-term-memory-training-1806.00512</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structurally-sparsified-backward-propagation-for-faster-long-short-term-memory-training-1806.00512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structurally-sparsified-backward-propagation-for-faster-long-short-term-memory-training-1806.00512"/></url>
<url><loc>https://scifaro.com/en/abs/provably-convergent-acceleration-in-factored-gradient-descent-with-applications-in-matrix-sensing-1806.00534</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-convergent-acceleration-in-factored-gradient-descent-with-applications-in-matrix-sensing-1806.00534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-convergent-acceleration-in-factored-gradient-descent-with-applications-in-matrix-sensing-1806.00534"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-episodic-memory-into-a-reinforcement-learning-agent-using-reservoir-sampling-1806.00540</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-episodic-memory-into-a-reinforcement-learning-agent-using-reservoir-sampling-1806.00540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-episodic-memory-into-a-reinforcement-learning-agent-using-reservoir-sampling-1806.00540"/></url>
<url><loc>https://scifaro.com/en/abs/the-externalities-of-exploration-and-how-data-diversity-helps-exploitation-1806.00543</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-externalities-of-exploration-and-how-data-diversity-helps-exploitation-1806.00543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-externalities-of-exploration-and-how-data-diversity-helps-exploitation-1806.00543"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-and-scalable-joint-estimator-for-integrating-additional-knowledge-in-learning-multiple-related-sparse-gaussian-graphical-models-1806.00548</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-and-scalable-joint-estimator-for-integrating-additional-knowledge-in-learning-multiple-related-sparse-gaussian-graphical-models-1806.00548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-and-scalable-joint-estimator-for-integrating-additional-knowledge-in-learning-multiple-related-sparse-gaussian-graphical-models-1806.00548"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-adversarial-examples-via-key-based-network-1806.00580</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-adversarial-examples-via-key-based-network-1806.00580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-adversarial-examples-via-key-based-network-1806.00580"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-non-iid-data-1806.00582</loc><lastmod>2022-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-non-iid-data-1806.00582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-non-iid-data-1806.00582"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-entropy-for-policy-gradient-with-multidimensional-action-space-1806.00589</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-entropy-for-policy-gradient-with-multidimensional-action-space-1806.00589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-entropy-for-policy-gradient-with-multidimensional-action-space-1806.00589"/></url>
<url><loc>https://scifaro.com/en/abs/gamepad-a-learning-environment-for-theorem-proving-1806.00608</loc><lastmod>2018-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gamepad-a-learning-environment-for-theorem-proving-1806.00608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gamepad-a-learning-environment-for-theorem-proving-1806.00608"/></url>
<url><loc>https://scifaro.com/en/abs/scraping-and-preprocessing-commercial-auction-data-for-fraud-classification-1806.00656</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scraping-and-preprocessing-commercial-auction-data-for-fraud-classification-1806.00656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scraping-and-preprocessing-commercial-auction-data-for-fraud-classification-1806.00656"/></url>
<url><loc>https://scifaro.com/en/abs/nonlocal-neural-networks-nonlocal-diffusion-and-nonlocal-modeling-1806.00681</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlocal-neural-networks-nonlocal-diffusion-and-nonlocal-modeling-1806.00681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlocal-neural-networks-nonlocal-diffusion-and-nonlocal-modeling-1806.00681"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-attention-based-recurrent-highway-networks-for-time-series-prediction-1806.00685</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-attention-based-recurrent-highway-networks-for-time-series-prediction-1806.00685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-attention-based-recurrent-highway-networks-for-time-series-prediction-1806.00685"/></url>
<url><loc>https://scifaro.com/en/abs/on-multi-layer-basis-pursuit-efficient-algorithms-and-convolutional-neural-networks-1806.00701</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-multi-layer-basis-pursuit-efficient-algorithms-and-convolutional-neural-networks-1806.00701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-multi-layer-basis-pursuit-efficient-algorithms-and-convolutional-neural-networks-1806.00701"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-generalizing-motion-primitives-from-driving-data-for-path-tracking-applications-1806.00711</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-generalizing-motion-primitives-from-driving-data-for-path-tracking-applications-1806.00711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-generalizing-motion-primitives-from-driving-data-for-path-tracking-applications-1806.00711"/></url>
<url><loc>https://scifaro.com/en/abs/dual-primal-graph-convolutional-networks-1806.00770</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-primal-graph-convolutional-networks-1806.00770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-primal-graph-convolutional-networks-1806.00770"/></url>
<url><loc>https://scifaro.com/en/abs/exploration-in-structured-reinforcement-learning-1806.00775</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploration-in-structured-reinforcement-learning-1806.00775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploration-in-structured-reinforcement-learning-1806.00775"/></url>
<url><loc>https://scifaro.com/en/abs/nam-non-adversarial-unsupervised-domain-mapping-1806.00804</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nam-non-adversarial-unsupervised-domain-mapping-1806.00804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nam-non-adversarial-unsupervised-domain-mapping-1806.00804"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graphs-from-data-a-signal-representation-perspective-1806.00848</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graphs-from-data-a-signal-representation-perspective-1806.00848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graphs-from-data-a-signal-representation-perspective-1806.00848"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-importance-of-attention-in-meta-learning-for-few-shot-text-classification-1806.00852</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-importance-of-attention-in-meta-learning-for-few-shot-text-classification-1806.00852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-importance-of-attention-in-meta-learning-for-few-shot-text-classification-1806.00852"/></url>
<url><loc>https://scifaro.com/en/abs/deploying-customized-data-representation-and-approximate-computing-in-machine-learning-applications-1806.00875</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deploying-customized-data-representation-and-approximate-computing-in-machine-learning-applications-1806.00875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deploying-customized-data-representation-and-approximate-computing-in-machine-learning-applications-1806.00875"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-reinforcement-learning-via-double-averaging-primal-dual-optimization-1806.00877</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-reinforcement-learning-via-double-averaging-primal-dual-optimization-1806.00877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-reinforcement-learning-via-double-averaging-primal-dual-optimization-1806.00877"/></url>
<url><loc>https://scifaro.com/en/abs/disconnected-manifold-learning-for-generative-adversarial-networks-1806.00880</loc><lastmod>2019-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disconnected-manifold-learning-for-generative-adversarial-networks-1806.00880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disconnected-manifold-learning-for-generative-adversarial-networks-1806.00880"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-regularization-in-learning-deep-homogeneous-models-layers-are-automatically-balanced-1806.00900</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-regularization-in-learning-deep-homogeneous-models-layers-are-automatically-balanced-1806.00900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-regularization-in-learning-deep-homogeneous-models-layers-are-automatically-balanced-1806.00900"/></url>
<url><loc>https://scifaro.com/en/abs/private-pac-learning-implies-finite-littlestone-dimension-1806.00949</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-pac-learning-implies-finite-littlestone-dimension-1806.00949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-pac-learning-implies-finite-littlestone-dimension-1806.00949"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-mirror-descent-minimax-optimality-and-implicit-regularization-1806.00952</loc><lastmod>2019-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-mirror-descent-minimax-optimality-and-implicit-regularization-1806.00952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-mirror-descent-minimax-optimality-and-implicit-regularization-1806.00952"/></url>
<url><loc>https://scifaro.com/en/abs/similarity-encoding-for-learning-with-dirty-categorical-variables-1806.00979</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/similarity-encoding-for-learning-with-dirty-categorical-variables-1806.00979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/similarity-encoding-for-learning-with-dirty-categorical-variables-1806.00979"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-clustering-of-a-network-protocol-with-weakly-supervised-clustering-1806.00981</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-clustering-of-a-network-protocol-with-weakly-supervised-clustering-1806.00981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-clustering-of-a-network-protocol-with-weakly-supervised-clustering-1806.00981"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learner-with-linear-nulling-1806.01010</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learner-with-linear-nulling-1806.01010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learner-with-linear-nulling-1806.01010"/></url>
<url><loc>https://scifaro.com/en/abs/ifair-learning-individually-fair-data-representations-for-algorithmic-decision-making-1806.01059</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ifair-learning-individually-fair-data-representations-for-algorithmic-decision-making-1806.01059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ifair-learning-individually-fair-data-representations-for-algorithmic-decision-making-1806.01059"/></url>
<url><loc>https://scifaro.com/en/abs/td-or-not-td-analyzing-the-role-of-temporal-differencing-in-deep-reinforcement-learning-1806.01175</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/td-or-not-td-analyzing-the-role-of-temporal-differencing-in-deep-reinforcement-learning-1806.01175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/td-or-not-td-analyzing-the-role-of-temporal-differencing-in-deep-reinforcement-learning-1806.01175"/></url>
<url><loc>https://scifaro.com/en/abs/online-reciprocal-recommendation-with-theoretical-performance-guarantees-1806.01182</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-reciprocal-recommendation-with-theoretical-performance-guarantees-1806.01182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-reciprocal-recommendation-with-theoretical-performance-guarantees-1806.01182"/></url>
<url><loc>https://scifaro.com/en/abs/penalizing-side-effects-using-stepwise-relative-reachability-1806.01186</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/penalizing-side-effects-using-stepwise-relative-reachability-1806.01186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/penalizing-side-effects-using-stepwise-relative-reachability-1806.01186"/></url>
<url><loc>https://scifaro.com/en/abs/relational-inductive-bias-for-physical-construction-in-humans-and-machines-1806.01203</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-inductive-bias-for-physical-construction-in-humans-and-machines-1806.01203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-inductive-bias-for-physical-construction-in-humans-and-machines-1806.01203"/></url>
<url><loc>https://scifaro.com/en/abs/deep-graphs-1806.01235</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-graphs-1806.01235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-graphs-1806.01235"/></url>
<url><loc>https://scifaro.com/en/abs/graph-networks-as-learnable-physics-engines-for-inference-and-control-1806.01242</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-networks-as-learnable-physics-engines-for-inference-and-control-1806.01242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-networks-as-learnable-physics-engines-for-inference-and-control-1806.01242"/></url>
<url><loc>https://scifaro.com/en/abs/dynamically-hierarchy-revolution-dirnet-for-compressing-recurrent-neural-network-on-mobile-devices-1806.01248</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamically-hierarchy-revolution-dirnet-for-compressing-recurrent-neural-network-on-mobile-devices-1806.01248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamically-hierarchy-revolution-dirnet-for-compressing-recurrent-neural-network-on-mobile-devices-1806.01248"/></url>
<url><loc>https://scifaro.com/en/abs/agreement-based-learning-1806.01258</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agreement-based-learning-1806.01258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agreement-based-learning-1806.01258"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-code-machine-learning-for-approximate-non-linear-coded-computation-1806.01259</loc><lastmod>2018-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-code-machine-learning-for-approximate-non-linear-coded-computation-1806.01259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-code-machine-learning-for-approximate-non-linear-coded-computation-1806.01259"/></url>
<url><loc>https://scifaro.com/en/abs/relational-inductive-biases-deep-learning-and-graph-networks-1806.01261</loc><lastmod>2018-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-inductive-biases-deep-learning-and-graph-networks-1806.01261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-inductive-biases-deep-learning-and-graph-networks-1806.01261"/></url>
<url><loc>https://scifaro.com/en/abs/equivalence-between-wasserstein-and-value-aware-loss-for-model-based-reinforcement-learning-1806.01265</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivalence-between-wasserstein-and-value-aware-loss-for-model-based-reinforcement-learning-1806.01265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivalence-between-wasserstein-and-value-aware-loss-for-model-based-reinforcement-learning-1806.01265"/></url>
<url><loc>https://scifaro.com/en/abs/internal-model-from-observations-for-reward-shaping-1806.01267</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/internal-model-from-observations-for-reward-shaping-1806.01267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/internal-model-from-observations-for-reward-shaping-1806.01267"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-localization-and-estimation-of-disturbance-in-the-interconnected-power-system-1806.01318</loc><lastmod>2018-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-localization-and-estimation-of-disturbance-in-the-interconnected-power-system-1806.01318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-localization-and-estimation-of-disturbance-in-the-interconnected-power-system-1806.01318"/></url>
<url><loc>https://scifaro.com/en/abs/importance-sampling-policy-evaluation-with-an-estimated-behavior-policy-1806.01347</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-sampling-policy-evaluation-with-an-estimated-behavior-policy-1806.01347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-sampling-policy-evaluation-with-an-estimated-behavior-policy-1806.01347"/></url>
<url><loc>https://scifaro.com/en/abs/playing-atari-with-six-neurons-1806.01363</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/playing-atari-with-six-neurons-1806.01363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/playing-atari-with-six-neurons-1806.01363"/></url>
<url><loc>https://scifaro.com/en/abs/composite-marginal-likelihood-methods-for-random-utility-models-1806.01426</loc><lastmod>2018-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composite-marginal-likelihood-methods-for-random-utility-models-1806.01426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composite-marginal-likelihood-methods-for-random-utility-models-1806.01426"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-dawnbench-a-time-to-accuracy-machine-learning-performance-benchmark-1806.01427</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-dawnbench-a-time-to-accuracy-machine-learning-performance-benchmark-1806.01427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-dawnbench-a-time-to-accuracy-machine-learning-performance-benchmark-1806.01427"/></url>
<url><loc>https://scifaro.com/en/abs/a-primer-on-causal-analysis-1806.01488</loc><lastmod>2018-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-primer-on-causal-analysis-1806.01488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-primer-on-causal-analysis-1806.01488"/></url>
<url><loc>https://scifaro.com/en/abs/the-universal-approximation-power-of-finite-width-deep-relu-networks-1806.01528</loc><lastmod>2018-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-universal-approximation-power-of-finite-width-deep-relu-networks-1806.01528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-universal-approximation-power-of-finite-width-deep-relu-networks-1806.01528"/></url>
<url><loc>https://scifaro.com/en/abs/combining-multiple-algorithms-in-classifier-ensembles-using-generalized-mixture-functions-1806.01540</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-multiple-algorithms-in-classifier-ensembles-using-generalized-mixture-functions-1806.01540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-multiple-algorithms-in-classifier-ensembles-using-generalized-mixture-functions-1806.01540"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-clustering-with-neural-networks-1806.01547</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-clustering-with-neural-networks-1806.01547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-clustering-with-neural-networks-1806.01547"/></url>
<url><loc>https://scifaro.com/en/abs/a-visual-quality-index-for-fuzzy-c-means-1806.01552</loc><lastmod>2018-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-visual-quality-index-for-fuzzy-c-means-1806.01552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-visual-quality-index-for-fuzzy-c-means-1806.01552"/></url>
<url><loc>https://scifaro.com/en/abs/guider-a-guided-separate-and-conquer-rule-learning-in-classification-regression-and-survival-settings-1806.01579</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guider-a-guided-separate-and-conquer-rule-learning-in-classification-regression-and-survival-settings-1806.01579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guider-a-guided-separate-and-conquer-rule-learning-in-classification-regression-and-survival-settings-1806.01579"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-and-removing-exogenous-state-variables-and-rewards-for-reinforcement-learning-1806.01584</loc><lastmod>2018-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-and-removing-exogenous-state-variables-and-rewards-for-reinforcement-learning-1806.01584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-and-removing-exogenous-state-variables-and-rewards-for-reinforcement-learning-1806.01584"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-randomized-coordinate-descent-algorithms-for-stochastic-optimization-and-online-learning-1806.01600</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-randomized-coordinate-descent-algorithms-for-stochastic-optimization-and-online-learning-1806.01600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-randomized-coordinate-descent-algorithms-for-stochastic-optimization-and-online-learning-1806.01600"/></url>
<url><loc>https://scifaro.com/en/abs/layer-rotation-a-surprisingly-powerful-indicator-of-generalization-in-deep-networks-1806.01603</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layer-rotation-a-surprisingly-powerful-indicator-of-generalization-in-deep-networks-1806.01603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layer-rotation-a-surprisingly-powerful-indicator-of-generalization-in-deep-networks-1806.01603"/></url>
<url><loc>https://scifaro.com/en/abs/training-generative-reversible-networks-1806.01610</loc><lastmod>2018-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-generative-reversible-networks-1806.01610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-generative-reversible-networks-1806.01610"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-acceleration-tradeoff-between-momentum-and-asynchrony-in-nonconvex-stochastic-optimization-1806.01660</loc><lastmod>2021-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-acceleration-tradeoff-between-momentum-and-asynchrony-in-nonconvex-stochastic-optimization-1806.01660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-acceleration-tradeoff-between-momentum-and-asynchrony-in-nonconvex-stochastic-optimization-1806.01660"/></url>
<url><loc>https://scifaro.com/en/abs/on-latent-distributions-without-finite-mean-in-generative-models-1806.01670</loc><lastmod>2018-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-latent-distributions-without-finite-mean-in-generative-models-1806.01670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-latent-distributions-without-finite-mean-in-generative-models-1806.01670"/></url>
<url><loc>https://scifaro.com/en/abs/evidential-deep-learning-to-quantify-classification-uncertainty-1806.01768</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evidential-deep-learning-to-quantify-classification-uncertainty-1806.01768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evidential-deep-learning-to-quantify-classification-uncertainty-1806.01768"/></url>
<url><loc>https://scifaro.com/en/abs/mix-match-agent-curricula-for-reinforcement-learning-1806.01780</loc><lastmod>2018-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mix-match-agent-curricula-for-reinforcement-learning-1806.01780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mix-match-agent-curricula-for-reinforcement-learning-1806.01780"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-attend-infer-repeat-generative-modelling-of-moving-objects-1806.01794</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-attend-infer-repeat-generative-modelling-of-moving-objects-1806.01794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-attend-infer-repeat-generative-modelling-of-moving-objects-1806.01794"/></url>
<url><loc>https://scifaro.com/en/abs/lstm-benchmarks-for-deep-learning-frameworks-1806.01818</loc><lastmod>2018-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lstm-benchmarks-for-deep-learning-frameworks-1806.01818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lstm-benchmarks-for-deep-learning-frameworks-1806.01818"/></url>
<url><loc>https://scifaro.com/en/abs/relational-recurrent-neural-networks-1806.01822</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-recurrent-neural-networks-1806.01822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-recurrent-neural-networks-1806.01822"/></url>
<url><loc>https://scifaro.com/en/abs/relational-deep-reinforcement-learning-1806.01830</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-deep-reinforcement-learning-1806.01830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-deep-reinforcement-learning-1806.01830"/></url>
<url><loc>https://scifaro.com/en/abs/sbaf-a-new-activation-function-for-artificial-neural-net-based-habitability-classification-1806.01844</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sbaf-a-new-activation-function-for-artificial-neural-net-based-habitability-classification-1806.01844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sbaf-a-new-activation-function-for-artificial-neural-net-based-habitability-classification-1806.01844"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-with-multi-branch-architectures-are-less-non-convex-1806.01845</loc><lastmod>2018-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-with-multi-branch-architectures-are-less-non-convex-1806.01845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-with-multi-branch-architectures-are-less-non-convex-1806.01845"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-deep-learning-using-random-sum-product-networks-1806.01910</loc><lastmod>2018-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-deep-learning-using-random-sum-product-networks-1806.01910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-deep-learning-using-random-sum-product-networks-1806.01910"/></url>
<url><loc>https://scifaro.com/en/abs/reverse-iterative-volume-sampling-for-linear-regression-1806.01969</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reverse-iterative-volume-sampling-for-linear-regression-1806.01969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reverse-iterative-volume-sampling-for-linear-regression-1806.01969"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-rank-for-censored-survival-data-1806.01984</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-rank-for-censored-survival-data-1806.01984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-rank-for-censored-survival-data-1806.01984"/></url>
<url><loc>https://scifaro.com/en/abs/deep-algorithms-designs-for-networks-1806.02003</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-algorithms-designs-for-networks-1806.02003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-algorithms-designs-for-networks-1806.02003"/></url>
<url><loc>https://scifaro.com/en/abs/a-peek-into-the-hidden-layers-of-a-convolutional-neural-network-through-a-factorization-lens-1806.02012</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-peek-into-the-hidden-layers-of-a-convolutional-neural-network-through-a-factorization-lens-1806.02012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-peek-into-the-hidden-layers-of-a-convolutional-neural-network-through-a-factorization-lens-1806.02012"/></url>
<url><loc>https://scifaro.com/en/abs/deep-fluids-a-generative-network-for-parameterized-fluid-simulations-1806.02071</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-fluids-a-generative-network-for-parameterized-fluid-simulations-1806.02071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-fluids-a-generative-network-for-parameterized-fluid-simulations-1806.02071"/></url>
<url><loc>https://scifaro.com/en/abs/mitigation-of-policy-manipulation-attacks-on-deep-q-networks-with-parameter-space-noise-1806.02190</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigation-of-policy-manipulation-attacks-on-deep-q-networks-with-parameter-space-noise-1806.02190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigation-of-policy-manipulation-attacks-on-deep-q-networks-with-parameter-space-noise-1806.02190"/></url>
<url><loc>https://scifaro.com/en/abs/som-vae-interpretable-discrete-representation-learning-on-time-series-1806.02199</loc><lastmod>2019-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/som-vae-interpretable-discrete-representation-learning-on-time-series-1806.02199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/som-vae-interpretable-discrete-representation-learning-on-time-series-1806.02199"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-inference-networks-unifying-deep-and-spectral-learning-1806.02215</loc><lastmod>2020-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-inference-networks-unifying-deep-and-spectral-learning-1806.02215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-inference-networks-unifying-deep-and-spectral-learning-1806.02215"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-privacy-and-accuracy-of-admm-based-distributed-algorithms-1806.02246</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-privacy-and-accuracy-of-admm-based-distributed-algorithms-1806.02246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-privacy-and-accuracy-of-admm-based-distributed-algorithms-1806.02246"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-regression-with-multiple-learners-1806.02256</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-regression-with-multiple-learners-1806.02256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-regression-with-multiple-learners-1806.02256"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-probabilistic-atlases-capture-whole-brain-individual-variation-1806.02300</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-probabilistic-atlases-capture-whole-brain-individual-variation-1806.02300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-probabilistic-atlases-capture-whole-brain-individual-variation-1806.02300"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-value-functions-via-multiplicative-normalizing-flows-1806.02315</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-value-functions-via-multiplicative-normalizing-flows-1806.02315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-value-functions-via-multiplicative-normalizing-flows-1806.02315"/></url>
<url><loc>https://scifaro.com/en/abs/learning-kolmogorov-models-for-binary-random-variables-1806.02322</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-kolmogorov-models-for-binary-random-variables-1806.02322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-kolmogorov-models-for-binary-random-variables-1806.02322"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-linear-regression-1806.02326</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-linear-regression-1806.02326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-linear-regression-1806.02326"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-bias-in-adaptive-data-gathering-via-differential-privacy-1806.02329</loc><lastmod>2018-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-bias-in-adaptive-data-gathering-via-differential-privacy-1806.02329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-bias-in-adaptive-data-gathering-via-differential-privacy-1806.02329"/></url>
<url><loc>https://scifaro.com/en/abs/towards-dependability-metrics-for-neural-networks-1806.02338</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-dependability-metrics-for-neural-networks-1806.02338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-dependability-metrics-for-neural-networks-1806.02338"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attack-on-graph-structured-data-1806.02371</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attack-on-graph-structured-data-1806.02371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attack-on-graph-structured-data-1806.02371"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-batch-normalization-1806.02375</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-batch-normalization-1806.02375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-batch-normalization-1806.02375"/></url>
<url><loc>https://scifaro.com/en/abs/human-aided-multi-entity-bayesian-networks-learning-from-relational-data-1806.02421</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-aided-multi-entity-bayesian-networks-learning-from-relational-data-1806.02421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-aided-multi-entity-bayesian-networks-learning-from-relational-data-1806.02421"/></url>
<url><loc>https://scifaro.com/en/abs/deep-variational-reinforcement-learning-for-pomdps-1806.02426</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-variational-reinforcement-learning-for-pomdps-1806.02426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-variational-reinforcement-learning-for-pomdps-1806.02426"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-general-video-game-ai-1806.02448</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-general-video-game-ai-1806.02448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-general-video-game-ai-1806.02448"/></url>
<url><loc>https://scifaro.com/en/abs/a-finite-time-analysis-of-temporal-difference-learning-with-linear-function-approximation-1806.02450</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-finite-time-analysis-of-temporal-difference-learning-with-linear-function-approximation-1806.02450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-finite-time-analysis-of-temporal-difference-learning-with-linear-function-approximation-1806.02450"/></url>
<url><loc>https://scifaro.com/en/abs/mebn-rm-a-mapping-between-multi-entity-bayesian-network-and-relational-model-1806.02455</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mebn-rm-a-mapping-between-multi-entity-bayesian-network-and-relational-model-1806.02455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mebn-rm-a-mapping-between-multi-entity-bayesian-network-and-relational-model-1806.02455"/></url>
<url><loc>https://scifaro.com/en/abs/the-effect-of-the-choice-of-neural-network-depth-and-breadth-on-the-size-of-its-hypothesis-space-1806.02460</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effect-of-the-choice-of-neural-network-depth-and-breadth-on-the-size-of-its-hypothesis-space-1806.02460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effect-of-the-choice-of-neural-network-depth-and-breadth-on-the-size-of-its-hypothesis-space-1806.02460"/></url>
<url><loc>https://scifaro.com/en/abs/graph-convolutional-policy-network-for-goal-directed-molecular-graph-generation-1806.02473</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-convolutional-policy-network-for-goal-directed-molecular-graph-generation-1806.02473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-convolutional-policy-network-for-goal-directed-molecular-graph-generation-1806.02473"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-classification-in-deep-neural-network-with-label-mapping-1806.02507</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-classification-in-deep-neural-network-with-label-mapping-1806.02507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-classification-in-deep-neural-network-with-label-mapping-1806.02507"/></url>
<url><loc>https://scifaro.com/en/abs/path-level-network-transformation-for-efficient-architecture-search-1806.02639</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/path-level-network-transformation-for-efficient-architecture-search-1806.02639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/path-level-network-transformation-for-efficient-architecture-search-1806.02639"/></url>
<url><loc>https://scifaro.com/en/abs/re-evaluating-evaluation-1806.02643</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/re-evaluating-evaluation-1806.02643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/re-evaluating-evaluation-1806.02643"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-multi-class-bayesian-support-vector-machines-for-structured-and-unstructured-data-1806.02659</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-multi-class-bayesian-support-vector-machines-for-structured-and-unstructured-data-1806.02659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-multi-class-bayesian-support-vector-machines-for-structured-and-unstructured-data-1806.02659"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-via-compact-latent-space-clustering-1806.02679</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-via-compact-latent-space-clustering-1806.02679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-via-compact-latent-space-clustering-1806.02679"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-estimation-of-the-value-of-an-optimized-policy-1806.02794</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-estimation-of-the-value-of-an-optimized-policy-1806.02794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-estimation-of-the-value-of-an-optimized-policy-1806.02794"/></url>
<url><loc>https://scifaro.com/en/abs/self-consistent-trajectory-autoencoder-hierarchical-reinforcement-learning-with-trajectory-embeddings-1806.02813</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-consistent-trajectory-autoencoder-hierarchical-reinforcement-learning-with-trajectory-embeddings-1806.02813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-consistent-trajectory-autoencoder-hierarchical-reinforcement-learning-with-trajectory-embeddings-1806.02813"/></url>
<url><loc>https://scifaro.com/en/abs/data-summarization-at-scale-a-two-stage-submodular-approach-1806.02815</loc><lastmod>2018-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-summarization-at-scale-a-two-stage-submodular-approach-1806.02815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-summarization-at-scale-a-two-stage-submodular-approach-1806.02815"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-model-agnostic-meta-learning-1806.02817</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-model-agnostic-meta-learning-1806.02817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-model-agnostic-meta-learning-1806.02817"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-natural-gradient-langevin-dynamics-in-practice-1806.02855</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-natural-gradient-langevin-dynamics-in-practice-1806.02855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-natural-gradient-langevin-dynamics-in-practice-1806.02855"/></url>
<url><loc>https://scifaro.com/en/abs/direct-optimization-through-arg-max-for-discrete-variational-auto-encoder-1806.02867</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direct-optimization-through-arg-max-for-discrete-variational-auto-encoder-1806.02867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direct-optimization-through-arg-max-for-discrete-variational-auto-encoder-1806.02867"/></url>
<url><loc>https://scifaro.com/en/abs/learning-tasks-for-multitask-learning-heterogenous-patient-populations-in-the-icu-1806.02878</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-tasks-for-multitask-learning-heterogenous-patient-populations-in-the-icu-1806.02878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-tasks-for-multitask-learning-heterogenous-patient-populations-in-the-icu-1806.02878"/></url>
<url><loc>https://scifaro.com/en/abs/training-faster-by-separating-modes-of-variation-in-batch-normalized-models-1806.02892</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-faster-by-separating-modes-of-variation-in-batch-normalized-models-1806.02892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-faster-by-separating-modes-of-variation-in-batch-normalized-models-1806.02892"/></url>
<url><loc>https://scifaro.com/en/abs/gain-missing-data-imputation-using-generative-adversarial-nets-1806.02920</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gain-missing-data-imputation-using-generative-adversarial-nets-1806.02920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gain-missing-data-imputation-using-generative-adversarial-nets-1806.02920"/></url>
<url><loc>https://scifaro.com/en/abs/lightweight-stochastic-optimization-for-minimizing-finite-sums-with-infinite-data-1806.02927</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lightweight-stochastic-optimization-for-minimizing-finite-sums-with-infinite-data-1806.02927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lightweight-stochastic-optimization-for-minimizing-finite-sums-with-infinite-data-1806.02927"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-neural-network-surrogate-for-high-dimensional-random-partial-differential-equations-1806.02957</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-neural-network-surrogate-for-high-dimensional-random-partial-differential-equations-1806.02957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-neural-network-surrogate-for-high-dimensional-random-partial-differential-equations-1806.02957"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-full-matrix-adaptive-regularization-1806.02958</loc><lastmod>2020-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-full-matrix-adaptive-regularization-1806.02958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-full-matrix-adaptive-regularization-1806.02958"/></url>
<url><loc>https://scifaro.com/en/abs/pac-ranking-from-pairwise-and-listwise-queries-lower-bounds-and-upper-bounds-1806.02970</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-ranking-from-pairwise-and-listwise-queries-lower-bounds-and-upper-bounds-1806.02970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-ranking-from-pairwise-and-listwise-queries-lower-bounds-and-upper-bounds-1806.02970"/></url>
<url><loc>https://scifaro.com/en/abs/monge-blunts-bayes-hardness-results-for-adversarial-training-1806.02977</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monge-blunts-bayes-hardness-results-for-adversarial-training-1806.02977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monge-blunts-bayes-hardness-results-for-adversarial-training-1806.02977"/></url>
<url><loc>https://scifaro.com/en/abs/jointgan-multi-domain-joint-distribution-learning-with-generative-adversarial-nets-1806.02978</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jointgan-multi-domain-joint-distribution-learning-with-generative-adversarial-nets-1806.02978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jointgan-multi-domain-joint-distribution-learning-with-generative-adversarial-nets-1806.02978"/></url>
<url><loc>https://scifaro.com/en/abs/towards-binary-valued-gates-for-robust-lstm-training-1806.02988</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-binary-valued-gates-for-robust-lstm-training-1806.02988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-binary-valued-gates-for-robust-lstm-training-1806.02988"/></url>
<url><loc>https://scifaro.com/en/abs/noise-adding-methods-of-saliency-map-as-series-of-higher-order-partial-derivative-1806.03000</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-adding-methods-of-saliency-map-as-series-of-higher-order-partial-derivative-1806.03000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-adding-methods-of-saliency-map-as-series-of-higher-order-partial-derivative-1806.03000"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-difference-variational-auto-encoder-1806.03107</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-difference-variational-auto-encoder-1806.03107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-difference-variational-auto-encoder-1806.03107"/></url>
<url><loc>https://scifaro.com/en/abs/fidelity-based-probabilistic-q-learning-for-control-of-quantum-systems-1806.03145</loc><lastmod>2018-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fidelity-based-probabilistic-q-learning-for-control-of-quantum-systems-1806.03145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fidelity-based-probabilistic-q-learning-for-control-of-quantum-systems-1806.03145"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-model-for-the-identification-of-the-rock-type-at-a-drilling-bit-1806.03218</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-model-for-the-identification-of-the-rock-type-at-a-drilling-bit-1806.03218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-model-for-the-identification-of-the-rock-type-at-a-drilling-bit-1806.03218"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-meta-learning-1806.03316</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-meta-learning-1806.03316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-meta-learning-1806.03316"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimal-algorithm-for-online-unconstrained-submodular-maximization-1806.03349</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimal-algorithm-for-online-unconstrained-submodular-maximization-1806.03349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimal-algorithm-for-online-unconstrained-submodular-maximization-1806.03349"/></url>
<url><loc>https://scifaro.com/en/abs/deterministic-stretchy-regression-1806.03404</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deterministic-stretchy-regression-1806.03404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deterministic-stretchy-regression-1806.03404"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-random-forest-for-causal-inference-1806.03467</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-random-forest-for-causal-inference-1806.03467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-random-forest-for-causal-inference-1806.03467"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-deterministic-mdps-1806.03492</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-deterministic-mdps-1806.03492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-deterministic-mdps-1806.03492"/></url>
<url><loc>https://scifaro.com/en/abs/field-weighted-factorization-machines-for-click-through-rate-prediction-in-display-advertising-1806.03514</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/field-weighted-factorization-machines-for-click-through-rate-prediction-in-display-advertising-1806.03514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/field-weighted-factorization-machines-for-click-through-rate-prediction-in-display-advertising-1806.03514"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-on-graphs-with-jumping-knowledge-networks-1806.03536</loc><lastmod>2018-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-on-graphs-with-jumping-knowledge-networks-1806.03536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-on-graphs-with-jumping-knowledge-networks-1806.03536"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-position-bias-estimation-without-online-interventions-for-learning-to-rank-1806.03555</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-position-bias-estimation-without-online-interventions-for-learning-to-rank-1806.03555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-position-bias-estimation-without-online-interventions-for-learning-to-rank-1806.03555"/></url>
<url><loc>https://scifaro.com/en/abs/chaining-mutual-information-and-tightening-generalization-bounds-1806.03803</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chaining-mutual-information-and-tightening-generalization-bounds-1806.03803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chaining-mutual-information-and-tightening-generalization-bounds-1806.03803"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-mcmc-via-combining-local-samplers-1806.03816</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-mcmc-via-combining-local-samplers-1806.03816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-mcmc-via-combining-local-samplers-1806.03816"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-model-agnostic-meta-learning-1806.03836</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-model-agnostic-meta-learning-1806.03836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-model-agnostic-meta-learning-1806.03836"/></url>
<url><loc>https://scifaro.com/en/abs/fast-approximate-natural-gradient-descent-in-a-kronecker-factored-eigenbasis-1806.03884</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-approximate-natural-gradient-descent-in-a-kronecker-factored-eigenbasis-1806.03884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-approximate-natural-gradient-descent-in-a-kronecker-factored-eigenbasis-1806.03884"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-of-daily-work-and-study-round-trips-from-survey-data-1806.03903</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-of-daily-work-and-study-round-trips-from-survey-data-1806.03903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-of-daily-work-and-study-round-trips-from-survey-data-1806.03903"/></url>
<url><loc>https://scifaro.com/en/abs/gear-training-a-new-way-to-implement-high-performance-model-parallel-training-1806.03925</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gear-training-a-new-way-to-implement-high-performance-model-parallel-training-1806.03925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gear-training-a-new-way-to-implement-high-performance-model-parallel-training-1806.03925"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-and-easy-regression-technique-for-k-nn-classification-without-using-negative-pairs-1806.03945</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-and-easy-regression-technique-for-k-nn-classification-without-using-negative-pairs-1806.03945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-and-easy-regression-technique-for-k-nn-classification-without-using-negative-pairs-1806.03945"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-task-deep-learning-architecture-for-maritime-surveillance-using-ais-data-streams-1806.03972</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-task-deep-learning-architecture-for-maritime-surveillance-using-ais-data-streams-1806.03972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-task-deep-learning-architecture-for-maritime-surveillance-using-ais-data-streams-1806.03972"/></url>
<url><loc>https://scifaro.com/en/abs/baselines-and-a-datasheet-for-the-cerema-awp-dataset-1806.04016</loc><lastmod>2018-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/baselines-and-a-datasheet-for-the-cerema-awp-dataset-1806.04016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/baselines-and-a-datasheet-for-the-cerema-awp-dataset-1806.04016"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-decompose-and-disentangle-representations-for-video-prediction-1806.04166</loc><lastmod>2018-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-decompose-and-disentangle-representations-for-video-prediction-1806.04166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-decompose-and-disentangle-representations-for-video-prediction-1806.04166"/></url>
<url><loc>https://scifaro.com/en/abs/defense-against-the-dark-arts-an-overview-of-adversarial-example-security-research-and-future-research-directions-1806.04169</loc><lastmod>2018-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defense-against-the-dark-arts-an-overview-of-adversarial-example-security-research-and-future-research-directions-1806.04169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defense-against-the-dark-arts-an-overview-of-adversarial-example-security-research-and-future-research-directions-1806.04169"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-about-local-explanation-methods-for-deep-neural-networks-lack-sensitivity-to-parameter-values-1806.04205</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-about-local-explanation-methods-for-deep-neural-networks-lack-sensitivity-to-parameter-values-1806.04205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-about-local-explanation-methods-for-deep-neural-networks-lack-sensitivity-to-parameter-values-1806.04205"/></url>
<url><loc>https://scifaro.com/en/abs/the-potential-of-the-return-distribution-for-exploration-in-rl-1806.04242</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-potential-of-the-return-distribution-for-exploration-in-rl-1806.04242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-potential-of-the-return-distribution-for-exploration-in-rl-1806.04242"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-speed-up-structured-output-prediction-1806.04245</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-speed-up-structured-output-prediction-1806.04245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-speed-up-structured-output-prediction-1806.04245"/></url>
<url><loc>https://scifaro.com/en/abs/energy-constrained-compression-for-deep-neural-networks-via-weighted-sparse-projection-and-layer-input-masking-1806.04321</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-constrained-compression-for-deep-neural-networks-via-weighted-sparse-projection-and-layer-input-masking-1806.04321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-constrained-compression-for-deep-neural-networks-via-weighted-sparse-projection-and-layer-input-masking-1806.04321"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-compositional-kernel-learning-for-gaussian-processes-1806.04326</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-compositional-kernel-learning-for-gaussian-processes-1806.04326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-compositional-kernel-learning-for-gaussian-processes-1806.04326"/></url>
<url><loc>https://scifaro.com/en/abs/when-will-gradient-methods-converge-to-max-margin-classifier-under-relu-models-1806.04339</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-will-gradient-methods-converge-to-max-margin-classifier-under-relu-models-1806.04339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-will-gradient-methods-converge-to-max-margin-classifier-under-relu-models-1806.04339"/></url>
<url><loc>https://scifaro.com/en/abs/deep-state-space-models-for-unconditional-word-generation-1806.04550</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-state-space-models-for-unconditional-word-generation-1806.04550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-state-space-models-for-unconditional-word-generation-1806.04550"/></url>
<url><loc>https://scifaro.com/en/abs/combining-model-free-q-ensembles-and-model-based-approaches-for-informed-exploration-1806.04552</loc><lastmod>2018-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-model-free-q-ensembles-and-model-based-approaches-for-informed-exploration-1806.04552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-model-free-q-ensembles-and-model-based-approaches-for-informed-exploration-1806.04552"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-deep-reinforcement-learning-with-human-strategies-1806.04562</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-deep-reinforcement-learning-with-human-strategies-1806.04562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-deep-reinforcement-learning-with-human-strategies-1806.04562"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-meta-learning-for-reinforcement-learning-1806.04640</loc><lastmod>2020-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-meta-learning-for-reinforcement-learning-1806.04640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-meta-learning-for-reinforcement-learning-1806.04640"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-imitation-learning-with-predictive-models-1806.04642</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-imitation-learning-with-predictive-models-1806.04642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-imitation-learning-with-predictive-models-1806.04642"/></url>
<url><loc>https://scifaro.com/en/abs/figurenet-a-deep-learning-model-for-question-answering-on-scientific-plots-1806.04655</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/figurenet-a-deep-learning-model-for-question-answering-on-scientific-plots-1806.04655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/figurenet-a-deep-learning-model-for-question-answering-on-scientific-plots-1806.04655"/></url>
<url><loc>https://scifaro.com/en/abs/drive2vec-multiscale-state-space-embedding-of-vehicular-sensor-data-1806.04795</loc><lastmod>2018-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drive2vec-multiscale-state-space-embedding-of-vehicular-sensor-data-1806.04795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drive2vec-multiscale-state-space-embedding-of-vehicular-sensor-data-1806.04795"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-transferable-active-learning-policies-by-deep-reinforcement-learning-1806.04798</loc><lastmod>2018-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-transferable-active-learning-policies-by-deep-reinforcement-learning-1806.04798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-transferable-active-learning-policies-by-deep-reinforcement-learning-1806.04798"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-of-ultrahigh-dimensional-data-for-random-distance-based-outlier-detection-1806.04808</loc><lastmod>2018-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-of-ultrahigh-dimensional-data-for-random-distance-based-outlier-detection-1806.04808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-of-ultrahigh-dimensional-data-for-random-distance-based-outlier-detection-1806.04808"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-pruning-based-on-objection-maximization-with-a-general-distributed-framework-1806.04899</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-pruning-based-on-objection-maximization-with-a-general-distributed-framework-1806.04899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-pruning-based-on-objection-maximization-with-a-general-distributed-framework-1806.04899"/></url>
<url><loc>https://scifaro.com/en/abs/an-image-representation-based-convolutional-network-for-dna-classification-1806.04931</loc><lastmod>2018-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-image-representation-based-convolutional-network-for-dna-classification-1806.04931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-image-representation-based-convolutional-network-for-dna-classification-1806.04931"/></url>
<url><loc>https://scifaro.com/en/abs/tree-edit-distance-learning-via-adaptive-symbol-embeddings-1806.05009</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-edit-distance-learning-via-adaptive-symbol-embeddings-1806.05009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-edit-distance-learning-via-adaptive-symbol-embeddings-1806.05009"/></url>
<url><loc>https://scifaro.com/en/abs/map-inference-via-block-coordinate-frank-wolfe-algorithm-1806.05049</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/map-inference-via-block-coordinate-frank-wolfe-algorithm-1806.05049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/map-inference-via-block-coordinate-frank-wolfe-algorithm-1806.05049"/></url>
<url><loc>https://scifaro.com/en/abs/introducing-user-prescribed-constraints-in-markov-chains-for-nonlinear-dimensionality-reduction-1806.05096</loc><lastmod>2018-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introducing-user-prescribed-constraints-in-markov-chains-for-nonlinear-dimensionality-reduction-1806.05096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introducing-user-prescribed-constraints-in-markov-chains-for-nonlinear-dimensionality-reduction-1806.05096"/></url>
<url><loc>https://scifaro.com/en/abs/marginal-policy-gradients-a-unified-family-of-estimators-for-bounded-action-spaces-with-applications-1806.05134</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginal-policy-gradients-a-unified-family-of-estimators-for-bounded-action-spaces-with-applications-1806.05134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginal-policy-gradients-a-unified-family-of-estimators-for-bounded-action-spaces-with-applications-1806.05134"/></url>
<url><loc>https://scifaro.com/en/abs/on-landscape-of-lagrangian-functions-and-stochastic-search-for-constrained-nonconvex-optimization-1806.05151</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-landscape-of-lagrangian-functions-and-stochastic-search-for-constrained-nonconvex-optimization-1806.05151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-landscape-of-lagrangian-functions-and-stochastic-search-for-constrained-nonconvex-optimization-1806.05151"/></url>
<url><loc>https://scifaro.com/en/abs/on-tighter-generalization-bound-for-deep-neural-networks-cnns-resnets-and-beyond-1806.05159</loc><lastmod>2019-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-tighter-generalization-bound-for-deep-neural-networks-cnns-resnets-and-beyond-1806.05159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-tighter-generalization-bound-for-deep-neural-networks-cnns-resnets-and-beyond-1806.05159"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-interpretations-for-neural-network-predictions-1806.05337</loc><lastmod>2019-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-interpretations-for-neural-network-predictions-1806.05337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-interpretations-for-neural-network-predictions-1806.05337"/></url>
<url><loc>https://scifaro.com/en/abs/finding-gems-multi-scale-dictionaries-for-high-dimensional-graph-signals-1806.05356</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-gems-multi-scale-dictionaries-for-high-dimensional-graph-signals-1806.05356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-gems-multi-scale-dictionaries-for-high-dimensional-graph-signals-1806.05356"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multi-output-forecasting-learning-to-accurately-predict-blood-glucose-trajectories-1806.05357</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multi-output-forecasting-learning-to-accurately-predict-blood-glucose-trajectories-1806.05357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multi-output-forecasting-learning-to-accurately-predict-blood-glucose-trajectories-1806.05357"/></url>
<url><loc>https://scifaro.com/en/abs/defending-against-saddle-point-attack-in-byzantine-robust-distributed-learning-1806.05358</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defending-against-saddle-point-attack-in-byzantine-robust-distributed-learning-1806.05358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defending-against-saddle-point-attack-in-byzantine-robust-distributed-learning-1806.05358"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-perceptron-s-compression-1806.05403</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-perceptron-s-compression-1806.05403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-perceptron-s-compression-1806.05403"/></url>
<url><loc>https://scifaro.com/en/abs/servenet-a-deep-neural-network-for-web-services-classification-1806.05437</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/servenet-a-deep-neural-network-for-web-services-classification-1806.05437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/servenet-a-deep-neural-network-for-web-services-classification-1806.05437"/></url>
<url><loc>https://scifaro.com/en/abs/the-committee-machine-computational-to-statistical-gaps-in-learning-a-two-layers-neural-network-1806.05451</loc><lastmod>2024-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-committee-machine-computational-to-statistical-gaps-in-learning-a-two-layers-neural-network-1806.05451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-committee-machine-computational-to-statistical-gaps-in-learning-a-two-layers-neural-network-1806.05451"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-geometric-mean-metric-learning-1806.05454</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-geometric-mean-metric-learning-1806.05454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-geometric-mean-metric-learning-1806.05454"/></url>
<url><loc>https://scifaro.com/en/abs/autoregressive-quantile-networks-for-generative-modeling-1806.05575</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoregressive-quantile-networks-for-generative-modeling-1806.05575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoregressive-quantile-networks-for-generative-modeling-1806.05575"/></url>
<url><loc>https://scifaro.com/en/abs/there-are-many-consistent-explanations-of-unlabeled-data-why-you-should-average-1806.05594</loc><lastmod>2019-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/there-are-many-consistent-explanations-of-unlabeled-data-why-you-should-average-1806.05594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/there-are-many-consistent-explanations-of-unlabeled-data-why-you-should-average-1806.05594"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-variance-reduced-policy-gradient-1806.05618</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-variance-reduced-policy-gradient-1806.05618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-variance-reduced-policy-gradient-1806.05618"/></url>
<url><loc>https://scifaro.com/en/abs/self-imitation-learning-1806.05635</loc><lastmod>2018-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-imitation-learning-1806.05635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-imitation-learning-1806.05635"/></url>
<url><loc>https://scifaro.com/en/abs/glomo-unsupervisedly-learned-relational-graphs-as-transferable-representations-1806.05662</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/glomo-unsupervisedly-learned-relational-graphs-as-transferable-representations-1806.05662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/glomo-unsupervisedly-learned-relational-graphs-as-transferable-representations-1806.05662"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-artificial-neural-network-training-for-spatially-correlated-learning-1806.05703</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-artificial-neural-network-training-for-spatially-correlated-learning-1806.05703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-artificial-neural-network-training-for-spatially-correlated-learning-1806.05703"/></url>
<url><loc>https://scifaro.com/en/abs/non-asymptotic-identification-of-lti-systems-from-a-single-trajectory-1806.05722</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-asymptotic-identification-of-lti-systems-from-a-single-trajectory-1806.05722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-asymptotic-identification-of-lti-systems-from-a-single-trajectory-1806.05722"/></url>
<url><loc>https://scifaro.com/en/abs/hardware-trojan-attacks-on-neural-networks-1806.05768</loc><lastmod>2018-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hardware-trojan-attacks-on-neural-networks-1806.05768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hardware-trojan-attacks-on-neural-networks-1806.05768"/></url>
<url><loc>https://scifaro.com/en/abs/surprising-negative-results-for-generative-adversarial-tree-search-1806.05780</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surprising-negative-results-for-generative-adversarial-tree-search-1806.05780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surprising-negative-results-for-generative-adversarial-tree-search-1806.05780"/></url>
<url><loc>https://scifaro.com/en/abs/molecular-generative-model-based-on-conditional-variational-autoencoder-for-de-novo-molecular-design-1806.05805</loc><lastmod>2018-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molecular-generative-model-based-on-conditional-variational-autoencoder-for-de-novo-molecular-design-1806.05805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molecular-generative-model-based-on-conditional-variational-autoencoder-for-de-novo-molecular-design-1806.05805"/></url>
<url><loc>https://scifaro.com/en/abs/safe-active-feature-selection-for-sparse-learning-1806.05817</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-active-feature-selection-for-sparse-learning-1806.05817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-active-feature-selection-for-sparse-learning-1806.05817"/></url>
<url><loc>https://scifaro.com/en/abs/bubblerank-safe-online-learning-to-re-rank-via-implicit-click-feedback-1806.05819</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bubblerank-safe-online-learning-to-re-rank-via-implicit-click-feedback-1806.05819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bubblerank-safe-online-learning-to-re-rank-via-implicit-click-feedback-1806.05819"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-exact-minimization-of-saturated-loss-functions-for-robust-regression-and-subspace-estimation-1806.05833</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-exact-minimization-of-saturated-loss-functions-for-robust-regression-and-subspace-estimation-1806.05833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-exact-minimization-of-saturated-loss-functions-for-robust-regression-and-subspace-estimation-1806.05833"/></url>
<url><loc>https://scifaro.com/en/abs/financial-risk-and-returns-prediction-with-modular-networked-learning-1806.05876</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/financial-risk-and-returns-prediction-with-modular-networked-learning-1806.05876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/financial-risk-and-returns-prediction-with-modular-networked-learning-1806.05876"/></url>
<url><loc>https://scifaro.com/en/abs/mining-rank-data-1806.05897</loc><lastmod>2018-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-rank-data-1806.05897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-rank-data-1806.05897"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-estimations-by-softplus-normalization-in-bayesian-convolutional-neural-networks-with-variational-inference-1806.05978</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-estimations-by-softplus-normalization-in-bayesian-convolutional-neural-networks-with-variational-inference-1806.05978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-estimations-by-softplus-normalization-in-bayesian-convolutional-neural-networks-with-variational-inference-1806.05978"/></url>
<url><loc>https://scifaro.com/en/abs/classification-with-fairness-constraints-a-meta-algorithm-with-provable-guarantees-1806.06055</loc><lastmod>2020-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-with-fairness-constraints-a-meta-algorithm-with-provable-guarantees-1806.06055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-with-fairness-constraints-a-meta-algorithm-with-provable-guarantees-1806.06055"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-dead-weights-and-units-in-neural-networks-1806.06068</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-dead-weights-and-units-in-neural-networks-1806.06068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-dead-weights-and-units-in-neural-networks-1806.06068"/></url>
<url><loc>https://scifaro.com/en/abs/minibatch-gibbs-sampling-on-large-graphical-models-1806.06086</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minibatch-gibbs-sampling-on-large-graphical-models-1806.06086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minibatch-gibbs-sampling-on-large-graphical-models-1806.06086"/></url>
<url><loc>https://scifaro.com/en/abs/the-limits-of-post-selection-generalization-1806.06100</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-limits-of-post-selection-generalization-1806.06100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-limits-of-post-selection-generalization-1806.06100"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-wavenet-a-generative-latent-variable-model-for-sequential-data-1806.06116</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-wavenet-a-generative-latent-variable-model-for-sequential-data-1806.06116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-wavenet-a-generative-latent-variable-model-for-sequential-data-1806.06116"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-under-composition-1806.06122</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-under-composition-1806.06122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-under-composition-1806.06122"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-relationship-between-data-efficiency-and-error-for-uncertainty-sampling-1806.06123</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-relationship-between-data-efficiency-and-error-for-uncertainty-sampling-1806.06123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-relationship-between-data-efficiency-and-error-for-uncertainty-sampling-1806.06123"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-fuzzy-partitioning-1806.06124</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-fuzzy-partitioning-1806.06124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-fuzzy-partitioning-1806.06124"/></url>
<url><loc>https://scifaro.com/en/abs/possibility-results-for-graph-clustering-a-novel-consistency-axiom-1806.06142</loc><lastmod>2022-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/possibility-results-for-graph-clustering-a-novel-consistency-axiom-1806.06142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/possibility-results-for-graph-clustering-a-novel-consistency-axiom-1806.06142"/></url>
<url><loc>https://scifaro.com/en/abs/learning-factorized-multimodal-representations-1806.06176</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-factorized-multimodal-representations-1806.06176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-factorized-multimodal-representations-1806.06176"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-searching-in-the-model-space-1806.06207</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-searching-in-the-model-space-1806.06207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-searching-in-the-model-space-1806.06207"/></url>
<url><loc>https://scifaro.com/en/abs/binary-classification-in-unstructured-space-with-hypergraph-case-based-reasoning-1806.06232</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-classification-in-unstructured-space-with-hypergraph-case-based-reasoning-1806.06232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-classification-in-unstructured-space-with-hypergraph-case-based-reasoning-1806.06232"/></url>
<url><loc>https://scifaro.com/en/abs/dynmat-a-network-that-can-learn-after-learning-1806.06253</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynmat-a-network-that-can-learn-after-learning-1806.06253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynmat-a-network-that-can-learn-after-learning-1806.06253"/></url>
<url><loc>https://scifaro.com/en/abs/stable-prediction-across-unknown-environments-1806.06270</loc><lastmod>2018-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-prediction-across-unknown-environments-1806.06270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-prediction-across-unknown-environments-1806.06270"/></url>
<url><loc>https://scifaro.com/en/abs/right-for-the-right-reason-training-agnostic-networks-1806.06296</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/right-for-the-right-reason-training-agnostic-networks-1806.06296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/right-for-the-right-reason-training-agnostic-networks-1806.06296"/></url>
<url><loc>https://scifaro.com/en/abs/deformable-generator-networks-unsupervised-disentanglement-of-appearance-and-geometry-1806.06298</loc><lastmod>2023-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deformable-generator-networks-unsupervised-disentanglement-of-appearance-and-geometry-1806.06298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deformable-generator-networks-unsupervised-disentanglement-of-appearance-and-geometry-1806.06298"/></url>
<url><loc>https://scifaro.com/en/abs/laplacian-smoothing-gradient-descent-1806.06317</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/laplacian-smoothing-gradient-descent-1806.06317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/laplacian-smoothing-gradient-descent-1806.06317"/></url>
<url><loc>https://scifaro.com/en/abs/multi-variable-lstm-neural-network-for-autoregressive-exogenous-model-1806.06384</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-variable-lstm-neural-network-for-autoregressive-exogenous-model-1806.06384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-variable-lstm-neural-network-for-autoregressive-exogenous-model-1806.06384"/></url>
<url><loc>https://scifaro.com/en/abs/task-relevant-object-discovery-and-categorization-for-playing-first-person-shooter-games-1806.06392</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-relevant-object-discovery-and-categorization-for-playing-first-person-shooter-games-1806.06392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-relevant-object-discovery-and-categorization-for-playing-first-person-shooter-games-1806.06392"/></url>
<url><loc>https://scifaro.com/en/abs/gated-path-planning-networks-1806.06408</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gated-path-planning-networks-1806.06408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gated-path-planning-networks-1806.06408"/></url>
<url><loc>https://scifaro.com/en/abs/online-prediction-of-switching-graph-labelings-with-cluster-specialists-1806.06439</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-prediction-of-switching-graph-labelings-with-cluster-specialists-1806.06439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-prediction-of-switching-graph-labelings-with-cluster-specialists-1806.06439"/></url>
<url><loc>https://scifaro.com/en/abs/fast-convex-pruning-of-deep-neural-networks-1806.06457</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-convex-pruning-of-deep-neural-networks-1806.06457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-convex-pruning-of-deep-neural-networks-1806.06457"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-sparse-bayesian-ordinal-regression-1806.06553</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-sparse-bayesian-ordinal-regression-1806.06553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-sparse-bayesian-ordinal-regression-1806.06553"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-and-characterizing-incremental-learning-from-non-stationary-data-1806.06610</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-and-characterizing-incremental-learning-from-non-stationary-data-1806.06610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-and-characterizing-incremental-learning-from-non-stationary-data-1806.06610"/></url>
<url><loc>https://scifaro.com/en/abs/an-online-prediction-algorithm-for-reinforcement-learning-with-linear-function-approximation-using-cross-entropy-method-1806.06720</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-online-prediction-algorithm-for-reinforcement-learning-with-linear-function-approximation-using-cross-entropy-method-1806.06720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-online-prediction-algorithm-for-reinforcement-learning-with-linear-function-approximation-using-cross-entropy-method-1806.06720"/></url>
<url><loc>https://scifaro.com/en/abs/closing-the-generalization-gap-of-adaptive-gradient-methods-in-training-deep-neural-networks-1806.06763</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/closing-the-generalization-gap-of-adaptive-gradient-methods-in-training-deep-neural-networks-1806.06763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/closing-the-generalization-gap-of-adaptive-gradient-methods-in-training-deep-neural-networks-1806.06763"/></url>
<url><loc>https://scifaro.com/en/abs/modularity-matters-learning-invariant-relational-reasoning-tasks-1806.06765</loc><lastmod>2018-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modularity-matters-learning-invariant-relational-reasoning-tasks-1806.06765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modularity-matters-learning-invariant-relational-reasoning-tasks-1806.06765"/></url>
<url><loc>https://scifaro.com/en/abs/towards-distributed-energy-services-decentralizing-optimal-power-flow-with-machine-learning-1806.06790</loc><lastmod>2019-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-distributed-energy-services-decentralizing-optimal-power-flow-with-machine-learning-1806.06790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-distributed-energy-services-decentralizing-optimal-power-flow-with-machine-learning-1806.06790"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-policy-for-reinforcement-learning-1806.06798</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-policy-for-reinforcement-learning-1806.06798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-policy-for-reinforcement-learning-1806.06798"/></url>
<url><loc>https://scifaro.com/en/abs/polynomial-regression-as-an-alternative-to-neural-nets-1806.06850</loc><lastmod>2019-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polynomial-regression-as-an-alternative-to-neural-nets-1806.06850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polynomial-regression-as-an-alternative-to-neural-nets-1806.06850"/></url>
<url><loc>https://scifaro.com/en/abs/learning-distributed-representations-from-reviews-for-collaborative-filtering-1806.06875</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-distributed-representations-from-reviews-for-collaborative-filtering-1806.06875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-distributed-representations-from-reviews-for-collaborative-filtering-1806.06875"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-inverse-reinforcement-learning-challenges-methods-and-progress-1806.06877</loc><lastmod>2020-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-inverse-reinforcement-learning-challenges-methods-and-progress-1806.06877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-inverse-reinforcement-learning-challenges-methods-and-progress-1806.06877"/></url>
<url><loc>https://scifaro.com/en/abs/designing-optimal-binary-rating-systems-1806.06908</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-optimal-binary-rating-systems-1806.06908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-optimal-binary-rating-systems-1806.06908"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-estimation-of-weaving-target-maneuvers-1806.06913</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-estimation-of-weaving-target-maneuvers-1806.06913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-estimation-of-weaving-target-maneuvers-1806.06913"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-advantage-actor-critic-1806.06914</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-advantage-actor-critic-1806.06914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-advantage-actor-critic-1806.06914"/></url>
<url><loc>https://scifaro.com/en/abs/a-one-sided-classification-toolkit-with-applications-in-the-analysis-of-spectroscopy-data-1806.06915</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-one-sided-classification-toolkit-with-applications-in-the-analysis-of-spectroscopy-data-1806.06915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-one-sided-classification-toolkit-with-applications-in-the-analysis-of-spectroscopy-data-1806.06915"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-a-posteriori-policy-optimisation-1806.06920</loc><lastmod>2018-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-a-posteriori-policy-optimisation-1806.06920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-a-posteriori-policy-optimisation-1806.06920"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-quantile-networks-for-distributional-reinforcement-learning-1806.06923</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-quantile-networks-for-distributional-reinforcement-learning-1806.06923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-quantile-networks-for-distributional-reinforcement-learning-1806.06923"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-metric-distortion-of-embedding-persistence-diagrams-into-separable-hilbert-spaces-1806.06924</loc><lastmod>2019-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-metric-distortion-of-embedding-persistence-diagrams-into-separable-hilbert-spaces-1806.06924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-metric-distortion-of-embedding-persistence-diagrams-into-separable-hilbert-spaces-1806.06924"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-patch-based-learning-by-explaining-predictions-1806.06926</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-patch-based-learning-by-explaining-predictions-1806.06926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-patch-based-learning-by-explaining-predictions-1806.06926"/></url>
<url><loc>https://scifaro.com/en/abs/auto-meta-automated-gradient-based-meta-learner-search-1806.06927</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-meta-automated-gradient-based-meta-learner-search-1806.06927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-meta-automated-gradient-based-meta-learner-search-1806.06927"/></url>
<url><loc>https://scifaro.com/en/abs/meta-continual-learning-1806.06928</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-continual-learning-1806.06928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-continual-learning-1806.06928"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-function-valued-action-spaces-for-partial-differential-equation-control-1806.06931</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-function-valued-action-spaces-for-partial-differential-equation-control-1806.06931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-function-valued-action-spaces-for-partial-differential-equation-control-1806.06931"/></url>
<url><loc>https://scifaro.com/en/abs/pressure-predictions-of-turbine-blades-with-deep-learning-1806.06940</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pressure-predictions-of-turbine-blades-with-deep-learning-1806.06940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pressure-predictions-of-turbine-blades-with-deep-learning-1806.06940"/></url>
<url><loc>https://scifaro.com/en/abs/full-deep-neural-network-training-on-a-pruned-weight-budget-1806.06949</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/full-deep-neural-network-training-on-a-pruned-weight-budget-1806.06949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/full-deep-neural-network-training-on-a-pruned-weight-budget-1806.06949"/></url>
<url><loc>https://scifaro.com/en/abs/qualitative-measurements-of-policy-discrepancy-for-return-based-deep-q-network-1806.06953</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qualitative-measurements-of-policy-discrepancy-for-return-based-deep-q-network-1806.06953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qualitative-measurements-of-policy-discrepancy-for-return-based-deep-q-network-1806.06953"/></url>
<url><loc>https://scifaro.com/en/abs/using-mode-connectivity-for-loss-landscape-analysis-1806.06977</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-mode-connectivity-for-loss-landscape-analysis-1806.06977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-mode-connectivity-for-loss-landscape-analysis-1806.06977"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-decision-trees-1806.06988</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-decision-trees-1806.06988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-decision-trees-1806.06988"/></url>
<url><loc>https://scifaro.com/en/abs/effect-of-hyper-parameter-optimization-on-the-deep-learning-model-proposed-for-distributed-attack-detection-in-internet-of-things-environment-1806.07057</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effect-of-hyper-parameter-optimization-on-the-deep-learning-model-proposed-for-distributed-attack-detection-in-internet-of-things-environment-1806.07057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effect-of-hyper-parameter-optimization-on-the-deep-learning-model-proposed-for-distributed-attack-detection-in-internet-of-things-environment-1806.07057"/></url>
<url><loc>https://scifaro.com/en/abs/restricted-boltzmann-machines-introduction-and-review-1806.07066</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/restricted-boltzmann-machines-introduction-and-review-1806.07066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/restricted-boltzmann-machines-introduction-and-review-1806.07066"/></url>
<url><loc>https://scifaro.com/en/abs/online-linear-quadratic-control-1806.07104</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-linear-quadratic-control-1806.07104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-linear-quadratic-control-1806.07104"/></url>
<url><loc>https://scifaro.com/en/abs/instance-level-explanations-for-fraud-detection-a-case-study-1806.07129</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-level-explanations-for-fraud-detection-a-case-study-1806.07129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-level-explanations-for-fraud-detection-a-case-study-1806.07129"/></url>
<url><loc>https://scifaro.com/en/abs/frnet-dti-deep-convolutional-neural-networks-with-evolutionary-and-structural-features-for-drug-target-interaction-1806.07174</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frnet-dti-deep-convolutional-neural-networks-with-evolutionary-and-structural-features-for-drug-target-interaction-1806.07174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frnet-dti-deep-convolutional-neural-networks-with-evolutionary-and-structural-features-for-drug-target-interaction-1806.07174"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-batches-and-symmetric-discriminators-for-gan-training-1806.07185</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-batches-and-symmetric-discriminators-for-gan-training-1806.07185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-batches-and-symmetric-discriminators-for-gan-training-1806.07185"/></url>
<url><loc>https://scifaro.com/en/abs/stable-gaussian-process-based-tracking-control-of-euler-lagrange-systems-1806.07190</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-gaussian-process-based-tracking-control-of-euler-lagrange-systems-1806.07190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-gaussian-process-based-tracking-control-of-euler-lagrange-systems-1806.07190"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-input-estimation-in-linear-dynamical-systems-with-applications-to-learning-from-observations-1806.07200</loc><lastmod>2019-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-input-estimation-in-linear-dynamical-systems-with-applications-to-learning-from-observations-1806.07200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-input-estimation-in-linear-dynamical-systems-with-applications-to-learning-from-observations-1806.07200"/></url>
<url><loc>https://scifaro.com/en/abs/learning-equations-for-extrapolation-and-control-1806.07259</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-equations-for-extrapolation-and-control-1806.07259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-equations-for-extrapolation-and-control-1806.07259"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-local-nash-equilibria-for-adversarial-networks-1806.07268</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-local-nash-equilibria-for-adversarial-networks-1806.07268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-local-nash-equilibria-for-adversarial-networks-1806.07268"/></url>
<url><loc>https://scifaro.com/en/abs/neural-code-comprehension-a-learnable-representation-of-code-semantics-1806.07336</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-code-comprehension-a-learnable-representation-of-code-semantics-1806.07336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-code-comprehension-a-learnable-representation-of-code-semantics-1806.07336"/></url>
<url><loc>https://scifaro.com/en/abs/faster-sgd-training-by-minibatch-persistency-1806.07353</loc><lastmod>2018-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-sgd-training-by-minibatch-persistency-1806.07353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-sgd-training-by-minibatch-persistency-1806.07353"/></url>
<url><loc>https://scifaro.com/en/abs/neural-ordinary-differential-equations-1806.07366</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-ordinary-differential-equations-1806.07366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-ordinary-differential-equations-1806.07366"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-hebbian-learning-with-random-feedback-weights-1806.07406</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-hebbian-learning-with-random-feedback-weights-1806.07406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-hebbian-learning-with-random-feedback-weights-1806.07406"/></url>
<url><loc>https://scifaro.com/en/abs/wall-stress-estimation-of-cerebral-aneurysm-based-on-zernike-convolutional-neural-networks-1806.07441</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wall-stress-estimation-of-cerebral-aneurysm-based-on-zernike-convolutional-neural-networks-1806.07441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wall-stress-estimation-of-cerebral-aneurysm-based-on-zernike-convolutional-neural-networks-1806.07441"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-semantic-content-of-unsupervised-graph-embeddings-an-empirical-study-1806.07464</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-semantic-content-of-unsupervised-graph-embeddings-an-empirical-study-1806.07464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-semantic-content-of-unsupervised-graph-embeddings-an-empirical-study-1806.07464"/></url>
<url><loc>https://scifaro.com/en/abs/defining-locality-for-surrogates-in-post-hoc-interpretablity-1806.07498</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defining-locality-for-surrogates-in-post-hoc-interpretablity-1806.07498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defining-locality-for-surrogates-in-post-hoc-interpretablity-1806.07498"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-interpretability-with-self-explaining-neural-networks-1806.07538</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-interpretability-with-self-explaining-neural-networks-1806.07538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-interpretability-with-self-explaining-neural-networks-1806.07538"/></url>
<url><loc>https://scifaro.com/en/abs/binary-ensemble-neural-network-more-bits-per-network-or-more-networks-per-bit-1806.07550</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-ensemble-neural-network-more-bits-per-network-or-more-networks-per-bit-1806.07550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-ensemble-neural-network-more-bits-per-network-or-more-networks-per-bit-1806.07550"/></url>
<url><loc>https://scifaro.com/en/abs/stagewise-safe-bayesian-optimization-with-gaussian-processes-1806.07555</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stagewise-safe-bayesian-optimization-with-gaussian-processes-1806.07555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stagewise-safe-bayesian-optimization-with-gaussian-processes-1806.07555"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-nested-network-for-resource-efficient-inference-1806.07568</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-nested-network-for-resource-efficient-inference-1806.07568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-nested-network-for-resource-efficient-inference-1806.07568"/></url>
<url><loc>https://scifaro.com/en/abs/a-distributed-second-order-algorithm-you-can-trust-1806.07569</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributed-second-order-algorithm-you-can-trust-1806.07569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributed-second-order-algorithm-you-can-trust-1806.07569"/></url>
<url><loc>https://scifaro.com/en/abs/neural-tangent-kernel-convergence-and-generalization-in-neural-networks-1806.07572</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-tangent-kernel-convergence-and-generalization-in-neural-networks-1806.07572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-tangent-kernel-convergence-and-generalization-in-neural-networks-1806.07572"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-using-augmented-neural-networks-1806.07692</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-using-augmented-neural-networks-1806.07692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-using-augmented-neural-networks-1806.07692"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-multi-graph-embedding-for-brain-network-clustering-analysis-1806.07703</loc><lastmod>2018-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-multi-graph-embedding-for-brain-network-clustering-analysis-1806.07703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-multi-graph-embedding-for-brain-network-clustering-analysis-1806.07703"/></url>
<url><loc>https://scifaro.com/en/abs/versatile-auxiliary-classifier-with-generative-adversarial-network-vac-gan-multi-class-scenarios-1806.07751</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/versatile-auxiliary-classifier-with-generative-adversarial-network-vac-gan-multi-class-scenarios-1806.07751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/versatile-auxiliary-classifier-with-generative-adversarial-network-vac-gan-multi-class-scenarios-1806.07751"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-on-evaluation-metrics-of-generative-adversarial-networks-1806.07755</loc><lastmod>2018-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-on-evaluation-metrics-of-generative-adversarial-networks-1806.07755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-on-evaluation-metrics-of-generative-adversarial-networks-1806.07755"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-and-diverse-sampling-of-sequences-based-on-a-best-of-many-sample-objective-1806.07772</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-and-diverse-sampling-of-sequences-based-on-a-best-of-many-sample-objective-1806.07772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-and-diverse-sampling-of-sequences-based-on-a-best-of-many-sample-objective-1806.07772"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-nested-variance-reduction-for-nonconvex-optimization-1806.07811</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-nested-variance-reduction-for-nonconvex-optimization-1806.07811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-nested-variance-reduction-for-nonconvex-optimization-1806.07811"/></url>
<url><loc>https://scifaro.com/en/abs/learning-neural-parsers-with-deterministic-differentiable-imitation-learning-1806.07822</loc><lastmod>2018-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-neural-parsers-with-deterministic-differentiable-imitation-learning-1806.07822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-neural-parsers-with-deterministic-differentiable-imitation-learning-1806.07822"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-machine-learning-development-and-deployment-for-edge-devices-1806.07846</loc><lastmod>2018-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-machine-learning-development-and-deployment-for-edge-devices-1806.07846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-machine-learning-development-and-deployment-for-edge-devices-1806.07846"/></url>
<url><loc>https://scifaro.com/en/abs/rudder-return-decomposition-for-delayed-rewards-1806.07857</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rudder-return-decomposition-for-delayed-rewards-1806.07857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rudder-return-decomposition-for-delayed-rewards-1806.07857"/></url>
<url><loc>https://scifaro.com/en/abs/learning-relu-networks-via-alternating-minimization-1806.07863</loc><lastmod>2018-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-relu-networks-via-alternating-minimization-1806.07863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-relu-networks-via-alternating-minimization-1806.07863"/></url>
<url><loc>https://scifaro.com/en/abs/como-funciona-o-deep-learning-1806.07908</loc><lastmod>2018-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/como-funciona-o-deep-learning-1806.07908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/como-funciona-o-deep-learning-1806.07908"/></url>
<url><loc>https://scifaro.com/en/abs/a-dissection-of-overfitting-and-generalization-in-continuous-reinforcement-learning-1806.07937</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dissection-of-overfitting-and-generalization-in-continuous-reinforcement-learning-1806.07937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dissection-of-overfitting-and-generalization-in-continuous-reinforcement-learning-1806.07937"/></url>
<url><loc>https://scifaro.com/en/abs/the-corpus-replication-task-1806.07978</loc><lastmod>2018-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-corpus-replication-task-1806.07978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-corpus-replication-task-1806.07978"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-adversarial-training-of-neural-networks-1806.08028</loc><lastmod>2018-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-adversarial-training-of-neural-networks-1806.08028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-adversarial-training-of-neural-networks-1806.08028"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-robustness-of-interpretability-methods-1806.08049</loc><lastmod>2018-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-robustness-of-interpretability-methods-1806.08049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-robustness-of-interpretability-methods-1806.08049"/></url>
<url><loc>https://scifaro.com/en/abs/learning-cognitive-models-using-neural-networks-1806.08065</loc><lastmod>2018-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-cognitive-models-using-neural-networks-1806.08065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-cognitive-models-using-neural-networks-1806.08065"/></url>
<url><loc>https://scifaro.com/en/abs/grcan-gradient-boost-convolutional-autoencoder-with-neural-decision-forest-1806.08079</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grcan-gradient-boost-convolutional-autoencoder-with-neural-decision-forest-1806.08079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grcan-gradient-boost-convolutional-autoencoder-with-neural-decision-forest-1806.08079"/></url>
<url><loc>https://scifaro.com/en/abs/infocatvae-representation-learning-with-categorical-variational-autoencoders-1806.08240</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infocatvae-representation-learning-with-categorical-variational-autoencoders-1806.08240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infocatvae-representation-learning-with-categorical-variational-autoencoders-1806.08240"/></url>
<url><loc>https://scifaro.com/en/abs/complex-gated-recurrent-neural-networks-1806.08267</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complex-gated-recurrent-neural-networks-1806.08267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complex-gated-recurrent-neural-networks-1806.08267"/></url>
<url><loc>https://scifaro.com/en/abs/how-many-random-seeds-statistical-power-analysis-in-deep-reinforcement-learning-experiments-1806.08295</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-many-random-seeds-statistical-power-analysis-in-deep-reinforcement-learning-experiments-1806.08295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-many-random-seeds-statistical-power-analysis-in-deep-reinforcement-learning-experiments-1806.08295"/></url>
<url><loc>https://scifaro.com/en/abs/countdown-regression-sharp-and-calibrated-survival-predictions-1806.08324</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/countdown-regression-sharp-and-calibrated-survival-predictions-1806.08324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/countdown-regression-sharp-and-calibrated-survival-predictions-1806.08324"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-discovery-in-large-image-data-sets-1806.08340</loc><lastmod>2018-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-discovery-in-large-image-data-sets-1806.08340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-discovery-in-large-image-data-sets-1806.08340"/></url>
<url><loc>https://scifaro.com/en/abs/quantizing-deep-convolutional-networks-for-efficient-inference-a-whitepaper-1806.08342</loc><lastmod>2018-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantizing-deep-convolutional-networks-for-efficient-inference-a-whitepaper-1806.08342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantizing-deep-convolutional-networks-for-efficient-inference-a-whitepaper-1806.08342"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-correspondence-analysis-for-applications-in-machine-learning-1806.08449</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-correspondence-analysis-for-applications-in-machine-learning-1806.08449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-correspondence-analysis-for-applications-in-machine-learning-1806.08449"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-learning-in-single-incremental-task-scenarios-1806.08568</loc><lastmod>2019-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-learning-in-single-incremental-task-scenarios-1806.08568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-learning-in-single-incremental-task-scenarios-1806.08568"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-and-performance-guarantees-for-single-individual-haplotyping-1806.08647</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-and-performance-guarantees-for-single-individual-haplotyping-1806.08647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-and-performance-guarantees-for-single-individual-haplotyping-1806.08647"/></url>
<url><loc>https://scifaro.com/en/abs/learning-qualitatively-diverse-and-interpretable-rules-for-classification-1806.08716</loc><lastmod>2018-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-qualitatively-diverse-and-interpretable-rules-for-classification-1806.08716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-qualitatively-diverse-and-interpretable-rules-for-classification-1806.08716"/></url>
<url><loc>https://scifaro.com/en/abs/finding-local-minima-via-stochastic-nested-variance-reduction-1806.08782</loc><lastmod>2018-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-local-minima-via-stochastic-nested-variance-reduction-1806.08782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-local-minima-via-stochastic-nested-variance-reduction-1806.08782"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-graph-representation-learning-with-differentiable-pooling-1806.08804</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-graph-representation-learning-with-differentiable-pooling-1806.08804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-graph-representation-learning-with-differentiable-pooling-1806.08804"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-scattering-transforms-on-graphs-1806.08829</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-scattering-transforms-on-graphs-1806.08829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-scattering-transforms-on-graphs-1806.08829"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-for-infection-prediction-from-symptoms-based-on-data-from-different-study-designs-and-contexts-1806.08835</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-for-infection-prediction-from-symptoms-based-on-data-from-different-study-designs-and-contexts-1806.08835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-for-infection-prediction-from-symptoms-based-on-data-from-different-study-designs-and-contexts-1806.08835"/></url>
<url><loc>https://scifaro.com/en/abs/xgems-generating-examplars-to-explain-black-box-models-1806.08867</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xgems-generating-examplars-to-explain-black-box-models-1806.08867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xgems-generating-examplars-to-explain-black-box-models-1806.08867"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-an-overview-1806.08894</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-an-overview-1806.08894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-an-overview-1806.08894"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-wavelet-decomposition-network-for-interpretable-time-series-analysis-1806.08946</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-wavelet-decomposition-network-for-interpretable-time-series-analysis-1806.08946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-wavelet-decomposition-network-for-interpretable-time-series-analysis-1806.08946"/></url>
<url><loc>https://scifaro.com/en/abs/defending-malware-classification-networks-against-adversarial-perturbations-with-non-negative-weight-restrictions-1806.09035</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defending-malware-classification-networks-against-adversarial-perturbations-with-non-negative-weight-restrictions-1806.09035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defending-malware-classification-networks-against-adversarial-perturbations-with-non-negative-weight-restrictions-1806.09035"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-transport-unfolding-a-connection-based-manifold-learning-approach-1806.09039</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-transport-unfolding-a-connection-based-manifold-learning-approach-1806.09039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-transport-unfolding-a-connection-based-manifold-learning-approach-1806.09039"/></url>
<url><loc>https://scifaro.com/en/abs/darts-differentiable-architecture-search-1806.09055</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/darts-differentiable-architecture-search-1806.09055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/darts-differentiable-architecture-search-1806.09055"/></url>
<url><loc>https://scifaro.com/en/abs/disentangled-vae-representations-for-multi-aspect-and-missing-data-1806.09060</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-vae-representations-for-multi-aspect-and-missing-data-1806.09060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-vae-representations-for-multi-aspect-and-missing-data-1806.09060"/></url>
<url><loc>https://scifaro.com/en/abs/n-gram-graph-simple-unsupervised-representation-for-graphs-with-applications-to-molecules-1806.09206</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/n-gram-graph-simple-unsupervised-representation-for-graphs-with-applications-to-molecules-1806.09206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/n-gram-graph-simple-unsupervised-representation-for-graphs-with-applications-to-molecules-1806.09206"/></url>
<url><loc>https://scifaro.com/en/abs/equalizing-financial-impact-in-supervised-learning-1806.09211</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equalizing-financial-impact-in-supervised-learning-1806.09211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equalizing-financial-impact-in-supervised-learning-1806.09211"/></url>
<url><loc>https://scifaro.com/en/abs/deep-k-means-re-training-and-parameter-sharing-with-harder-cluster-assignments-for-compressing-deep-convolutions-1806.09228</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-k-means-re-training-and-parameter-sharing-with-harder-cluster-assignments-for-compressing-deep-convolutions-1806.09228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-k-means-re-training-and-parameter-sharing-with-harder-cluster-assignments-for-compressing-deep-convolutions-1806.09228"/></url>
<url><loc>https://scifaro.com/en/abs/improving-chemical-autoencoder-latent-space-and-molecular-de-novo-generation-diversity-with-heteroencoders-1806.09300</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-chemical-autoencoder-latent-space-and-molecular-de-novo-generation-diversity-with-heteroencoders-1806.09300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-chemical-autoencoder-latent-space-and-molecular-de-novo-generation-diversity-with-heteroencoders-1806.09300"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-model-based-policy-search-for-data-efficient-learning-with-sparse-rewards-1806.09351</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-model-based-policy-search-for-data-efficient-learning-with-sparse-rewards-1806.09351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-model-based-policy-search-for-data-efficient-learning-with-sparse-rewards-1806.09351"/></url>
<url><loc>https://scifaro.com/en/abs/an-unsupervised-learning-classifier-with-competitive-error-performance-1806.09385</loc><lastmod>2024-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-unsupervised-learning-classifier-with-competitive-error-performance-1806.09385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-unsupervised-learning-classifier-with-competitive-error-performance-1806.09385"/></url>
<url><loc>https://scifaro.com/en/abs/a-transferable-pedestrian-motion-prediction-model-for-intersections-with-different-geometries-1806.09444</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-transferable-pedestrian-motion-prediction-model-for-intersections-with-different-geometries-1806.09444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-transferable-pedestrian-motion-prediction-model-for-intersections-with-different-geometries-1806.09444"/></url>
<url><loc>https://scifaro.com/en/abs/context-aware-pedestrian-motion-prediction-in-urban-intersections-1806.09453</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-aware-pedestrian-motion-prediction-in-urban-intersections-1806.09453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-aware-pedestrian-motion-prediction-in-urban-intersections-1806.09453"/></url>
<url><loc>https://scifaro.com/en/abs/learning-k-way-d-dimensional-discrete-codes-for-compact-embedding-representations-1806.09464</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-k-way-d-dimensional-discrete-codes-for-compact-embedding-representations-1806.09464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-k-way-d-dimensional-discrete-codes-for-compact-embedding-representations-1806.09464"/></url>
<url><loc>https://scifaro.com/en/abs/mapping-unparalleled-clinical-professional-and-consumer-languages-with-embedding-alignment-1806.09542</loc><lastmod>2018-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mapping-unparalleled-clinical-professional-and-consumer-languages-with-embedding-alignment-1806.09542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mapping-unparalleled-clinical-professional-and-consumer-languages-with-embedding-alignment-1806.09542"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-natural-gradient-descent-draws-posterior-samples-in-function-space-1806.09597</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-natural-gradient-descent-draws-posterior-samples-in-function-space-1806.09597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-natural-gradient-descent-draws-posterior-samples-in-function-space-1806.09597"/></url>
<url><loc>https://scifaro.com/en/abs/many-goals-reinforcement-learning-1806.09605</loc><lastmod>2018-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/many-goals-reinforcement-learning-1806.09605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/many-goals-reinforcement-learning-1806.09605"/></url>
<url><loc>https://scifaro.com/en/abs/accuracy-based-curriculum-learning-in-deep-reinforcement-learning-1806.09614</loc><lastmod>2018-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accuracy-based-curriculum-learning-in-deep-reinforcement-learning-1806.09614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accuracy-based-curriculum-learning-in-deep-reinforcement-learning-1806.09614"/></url>
<url><loc>https://scifaro.com/en/abs/learning-what-you-can-do-before-doing-anything-1806.09655</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-what-you-can-do-before-doing-anything-1806.09655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-what-you-can-do-before-doing-anything-1806.09655"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-resilience-of-rtl-nn-accelerators-fault-characterization-and-mitigation-1806.09679</loc><lastmod>2018-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-resilience-of-rtl-nn-accelerators-fault-characterization-and-mitigation-1806.09679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-resilience-of-rtl-nn-accelerators-fault-characterization-and-mitigation-1806.09679"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-invariance-and-robustness-via-invertibility-of-relu-networks-1806.09730</loc><lastmod>2018-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-invariance-and-robustness-via-invertibility-of-relu-networks-1806.09730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-invariance-and-robustness-via-invertibility-of-relu-networks-1806.09730"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-view-ensemble-classification-model-for-clinically-actionable-genetic-mutations-1806.09737</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-view-ensemble-classification-model-for-clinically-actionable-genetic-mutations-1806.09737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-view-ensemble-classification-model-for-clinically-actionable-genetic-mutations-1806.09737"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-models-with-learnable-knowledge-constraints-1806.09764</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-models-with-learnable-knowledge-constraints-1806.09764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-models-with-learnable-knowledge-constraints-1806.09764"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-implicit-bias-of-dropout-1806.09777</loc><lastmod>2018-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-implicit-bias-of-dropout-1806.09777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-implicit-bias-of-dropout-1806.09777"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-dropout-as-an-optimization-trick-1806.09783</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-dropout-as-an-optimization-trick-1806.09783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-dropout-as-an-optimization-trick-1806.09783"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-inverse-reinforcement-learning-for-certain-general-sum-stochastic-games-1806.09795</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-inverse-reinforcement-learning-for-certain-general-sum-stochastic-games-1806.09795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-inverse-reinforcement-learning-for-certain-general-sum-stochastic-games-1806.09795"/></url>
<url><loc>https://scifaro.com/en/abs/quadratic-decomposable-submodular-function-minimization-1806.09842</loc><lastmod>2018-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quadratic-decomposable-submodular-function-minimization-1806.09842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quadratic-decomposable-submodular-function-minimization-1806.09842"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-based-active-learning-for-regression-1806.09856</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-based-active-learning-for-regression-1806.09856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-based-active-learning-for-regression-1806.09856"/></url>
<url><loc>https://scifaro.com/en/abs/towards-an-understanding-of-cnns-analysing-the-recovery-of-activation-pathways-via-deep-convolutional-sparse-coding-1806.09888</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-an-understanding-of-cnns-analysing-the-recovery-of-activation-pathways-via-deep-convolutional-sparse-coding-1806.09888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-an-understanding-of-cnns-analysing-the-recovery-of-activation-pathways-via-deep-convolutional-sparse-coding-1806.09888"/></url>
<url><loc>https://scifaro.com/en/abs/tangent-space-regularization-for-neural-network-models-of-dynamical-systems-1806.09919</loc><lastmod>2018-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tangent-space-regularization-for-neural-network-models-of-dynamical-systems-1806.09919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tangent-space-regularization-for-neural-network-models-of-dynamical-systems-1806.09919"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-active-exploration-for-inverse-dynamics-model-learning-1806.10019</loc><lastmod>2020-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-active-exploration-for-inverse-dynamics-model-learning-1806.10019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-active-exploration-for-inverse-dynamics-model-learning-1806.10019"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-blending-units-trainable-activation-functions-for-deep-neural-networks-1806.10064</loc><lastmod>2018-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-blending-units-trainable-activation-functions-for-deep-neural-networks-1806.10064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-blending-units-trainable-activation-functions-for-deep-neural-networks-1806.10064"/></url>
<url><loc>https://scifaro.com/en/abs/deep-k-means-jointly-clustering-with-k-means-and-learning-representations-1806.10069</loc><lastmod>2018-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-k-means-jointly-clustering-with-k-means-and-learning-representations-1806.10069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-k-means-jointly-clustering-with-k-means-and-learning-representations-1806.10069"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-of-diagnostic-interpretation-in-supervised-classification-1806.10080</loc><lastmod>2018-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-of-diagnostic-interpretation-in-supervised-classification-1806.10080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-of-diagnostic-interpretation-in-supervised-classification-1806.10080"/></url>
<url><loc>https://scifaro.com/en/abs/request-and-reverify-hierarchical-hypothesis-testing-for-concept-drift-detection-with-expensive-labels-1806.10131</loc><lastmod>2018-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/request-and-reverify-hierarchical-hypothesis-testing-for-concept-drift-detection-with-expensive-labels-1806.10131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/request-and-reverify-hierarchical-hypothesis-testing-for-concept-drift-detection-with-expensive-labels-1806.10131"/></url>
<url><loc>https://scifaro.com/en/abs/modular-meta-learning-1806.10166</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modular-meta-learning-1806.10166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modular-meta-learning-1806.10166"/></url>
<url><loc>https://scifaro.com/en/abs/semantically-enhanced-dynamic-bayesian-network-for-detecting-sepsis-mortality-risk-in-icu-patients-with-infection-1806.10174</loc><lastmod>2018-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantically-enhanced-dynamic-bayesian-network-for-detecting-sepsis-mortality-risk-in-icu-patients-with-infection-1806.10174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantically-enhanced-dynamic-bayesian-network-for-detecting-sepsis-mortality-risk-in-icu-patients-with-infection-1806.10174"/></url>
<url><loc>https://scifaro.com/en/abs/multi-merge-budget-maintenance-for-stochastic-gradient-descent-svm-training-1806.10179</loc><lastmod>2018-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-merge-budget-maintenance-for-stochastic-gradient-descent-svm-training-1806.10179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-merge-budget-maintenance-for-stochastic-gradient-descent-svm-training-1806.10179"/></url>
<url><loc>https://scifaro.com/en/abs/speeding-up-budgeted-stochastic-gradient-descent-svm-training-with-precomputed-golden-section-search-1806.10180</loc><lastmod>2018-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speeding-up-budgeted-stochastic-gradient-descent-svm-training-with-precomputed-golden-section-search-1806.10180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speeding-up-budgeted-stochastic-gradient-descent-svm-training-with-precomputed-golden-section-search-1806.10180"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-by-competing-hidden-units-1806.10181</loc><lastmod>2019-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-by-competing-hidden-units-1806.10181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-by-competing-hidden-units-1806.10181"/></url>
<url><loc>https://scifaro.com/en/abs/dual-svm-training-on-a-budget-1806.10182</loc><lastmod>2018-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-svm-training-on-a-budget-1806.10182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-svm-training-on-a-budget-1806.10182"/></url>
<url><loc>https://scifaro.com/en/abs/deep-feature-factorization-for-concept-discovery-1806.10206</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-feature-factorization-for-concept-discovery-1806.10206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-feature-factorization-for-concept-discovery-1806.10206"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-sparse-ell-p-norm-regression-with-optimal-probability-1806.10222</loc><lastmod>2018-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-sparse-ell-p-norm-regression-with-optimal-probability-1806.10222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-sparse-ell-p-norm-regression-with-optimal-probability-1806.10222"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-piecewise-local-linear-approximations-1806.10270</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-piecewise-local-linear-approximations-1806.10270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-piecewise-local-linear-approximations-1806.10270"/></url>
<url><loc>https://scifaro.com/en/abs/auto-keras-an-efficient-neural-architecture-search-system-1806.10282</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-keras-an-efficient-neural-architecture-search-system-1806.10282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-keras-an-efficient-neural-architecture-search-system-1806.10282"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-scheduling-of-electrolyzer-in-power-market-with-dynamic-prices-1806.10283</loc><lastmod>2018-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-scheduling-of-electrolyzer-in-power-market-with-dynamic-prices-1806.10283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-scheduling-of-electrolyzer-in-power-market-with-dynamic-prices-1806.10283"/></url>
<url><loc>https://scifaro.com/en/abs/qt-opt-scalable-deep-reinforcement-learning-for-vision-based-robotic-manipulation-1806.10293</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qt-opt-scalable-deep-reinforcement-learning-for-vision-based-robotic-manipulation-1806.10293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qt-opt-scalable-deep-reinforcement-learning-for-vision-based-robotic-manipulation-1806.10293"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-from-non-uniformly-sampled-entries-1806.10308</loc><lastmod>2018-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-from-non-uniformly-sampled-entries-1806.10308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-from-non-uniformly-sampled-entries-1806.10308"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-distillation-of-bayesian-neural-network-posteriors-1806.10317</loc><lastmod>2018-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-distillation-of-bayesian-neural-network-posteriors-1806.10317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-distillation-of-bayesian-neural-network-posteriors-1806.10317"/></url>
<url><loc>https://scifaro.com/en/abs/monas-multi-objective-neural-architecture-search-using-reinforcement-learning-1806.10332</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monas-multi-objective-neural-architecture-search-using-reinforcement-learning-1806.10332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monas-multi-objective-neural-architecture-search-using-reinforcement-learning-1806.10332"/></url>
<url><loc>https://scifaro.com/en/abs/online-optimal-task-offloading-with-one-bit-feedback-1806.10547</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-optimal-task-offloading-with-one-bit-feedback-1806.10547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-optimal-task-offloading-with-one-bit-feedback-1806.10547"/></url>
<url><loc>https://scifaro.com/en/abs/this-looks-like-that-deep-learning-for-interpretable-image-recognition-1806.10574</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/this-looks-like-that-deep-learning-for-interpretable-image-recognition-1806.10574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/this-looks-like-that-deep-learning-for-interpretable-image-recognition-1806.10574"/></url>
<url><loc>https://scifaro.com/en/abs/approximability-of-discriminators-implies-diversity-in-gans-1806.10586</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximability-of-discriminators-implies-diversity-in-gans-1806.10586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximability-of-discriminators-implies-diversity-in-gans-1806.10586"/></url>
<url><loc>https://scifaro.com/en/abs/activeremediation-the-search-for-lead-pipes-in-flint-michigan-1806.10692</loc><lastmod>2018-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/activeremediation-the-search-for-lead-pipes-in-flint-michigan-1806.10692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/activeremediation-the-search-for-lead-pipes-in-flint-michigan-1806.10692"/></url>
<url><loc>https://scifaro.com/en/abs/a-topological-regularizer-for-classifiers-via-persistent-homology-1806.10714</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-topological-regularizer-for-classifiers-via-persistent-homology-1806.10714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-topological-regularizer-for-classifiers-via-persistent-homology-1806.10714"/></url>
<url><loc>https://scifaro.com/en/abs/illuminating-generalization-in-deep-reinforcement-learning-through-procedural-level-generation-1806.10729</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/illuminating-generalization-in-deep-reinforcement-learning-through-procedural-level-generation-1806.10729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/illuminating-generalization-in-deep-reinforcement-learning-through-procedural-level-generation-1806.10729"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-bandits-with-surrogate-losses-margin-bounds-and-efficient-algorithms-1806.10745</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-bandits-with-surrogate-losses-margin-bounds-and-efficient-algorithms-1806.10745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-bandits-with-surrogate-losses-margin-bounds-and-efficient-algorithms-1806.10745"/></url>
<url><loc>https://scifaro.com/en/abs/a-benchmark-for-interpretability-methods-in-deep-neural-networks-1806.10758</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-benchmark-for-interpretability-methods-in-deep-neural-networks-1806.10758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-benchmark-for-interpretability-methods-in-deep-neural-networks-1806.10758"/></url>
<url><loc>https://scifaro.com/en/abs/successive-convex-approximation-algorithms-for-sparse-signal-estimation-with-nonconvex-regularizations-1806.10773</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/successive-convex-approximation-algorithms-for-sparse-signal-estimation-with-nonconvex-regularizations-1806.10773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/successive-convex-approximation-algorithms-for-sparse-signal-estimation-with-nonconvex-regularizations-1806.10773"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-reinforcement-learning-with-abductive-planning-1806.10792</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-with-abductive-planning-1806.10792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-with-abductive-planning-1806.10792"/></url>
<url><loc>https://scifaro.com/en/abs/training-discriminative-models-to-evaluate-generative-ones-1806.10840</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-discriminative-models-to-evaluate-generative-ones-1806.10840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-discriminative-models-to-evaluate-generative-ones-1806.10840"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-for-unsupervised-domain-adaptation-using-optimal-transport-1806.10861</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-for-unsupervised-domain-adaptation-using-optimal-transport-1806.10861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-for-unsupervised-domain-adaptation-using-optimal-transport-1806.10861"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-in-business-analytics-and-operations-research-models-applications-and-managerial-implications-1806.10897</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-in-business-analytics-and-operations-research-models-applications-and-managerial-implications-1806.10897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-in-business-analytics-and-operations-research-models-applications-and-managerial-implications-1806.10897"/></url>
<url><loc>https://scifaro.com/en/abs/resnet-with-one-neuron-hidden-layers-is-a-universal-approximator-1806.10909</loc><lastmod>2018-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resnet-with-one-neuron-hidden-layers-is-a-universal-approximator-1806.10909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resnet-with-one-neuron-hidden-layers-is-a-universal-approximator-1806.10909"/></url>
<url><loc>https://scifaro.com/en/abs/learning-implicit-generative-models-with-the-method-of-learned-moments-1806.11006</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-implicit-generative-models-with-the-method-of-learned-moments-1806.11006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-implicit-generative-models-with-the-method-of-learned-moments-1806.11006"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-of-the-pc-algorithm-for-learning-gaussian-bayesian-networks-1806.11015</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-of-the-pc-algorithm-for-learning-gaussian-bayesian-networks-1806.11015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-of-the-pc-algorithm-for-learning-gaussian-bayesian-networks-1806.11015"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-stochastic-variance-reduced-algorithm-with-fast-convergence-rates-1806.11027</loc><lastmod>2018-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-stochastic-variance-reduced-algorithm-with-fast-convergence-rates-1806.11027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-stochastic-variance-reduced-algorithm-with-fast-convergence-rates-1806.11027"/></url>
<url><loc>https://scifaro.com/en/abs/direct-acceleration-of-saga-using-sampled-negative-momentum-1806.11048</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direct-acceleration-of-saga-using-sampled-negative-momentum-1806.11048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direct-acceleration-of-saga-using-sampled-negative-momentum-1806.11048"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-reprogramming-of-neural-networks-1806.11146</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-reprogramming-of-neural-networks-1806.11146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-reprogramming-of-neural-networks-1806.11146"/></url>
<url><loc>https://scifaro.com/en/abs/neural-net-induced-gaussian-process-regression-for-function-approximation-and-pde-solution-1806.11187</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-net-induced-gaussian-process-regression-for-function-approximation-and-pde-solution-1806.11187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-net-induced-gaussian-process-regression-for-function-approximation-and-pde-solution-1806.11187"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-deep-learning-approach-for-medical-relation-extraction-1806.11189</loc><lastmod>2018-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-deep-learning-approach-for-medical-relation-extraction-1806.11189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-deep-learning-approach-for-medical-relation-extraction-1806.11189"/></url>
<url><loc>https://scifaro.com/en/abs/quit-when-you-can-efficient-evaluation-of-ensembles-with-ordering-optimization-1806.11202</loc><lastmod>2018-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quit-when-you-can-efficient-evaluation-of-ensembles-with-ordering-optimization-1806.11202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quit-when-you-can-efficient-evaluation-of-ensembles-with-ordering-optimization-1806.11202"/></url>
<url><loc>https://scifaro.com/en/abs/proxy-fairness-1806.11212</loc><lastmod>2018-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proxy-fairness-1806.11212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proxy-fairness-1806.11212"/></url>
<url><loc>https://scifaro.com/en/abs/tight-prediction-intervals-using-expanded-interval-minimization-1806.11222</loc><lastmod>2018-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-prediction-intervals-using-expanded-interval-minimization-1806.11222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-prediction-intervals-using-expanded-interval-minimization-1806.11222"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-learning-of-multi-step-tasks-from-observation-via-activity-localization-in-auxiliary-video-1806.11244</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-learning-of-multi-step-tasks-from-observation-via-activity-localization-in-auxiliary-video-1806.11244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-learning-of-multi-step-tasks-from-observation-via-activity-localization-in-auxiliary-video-1806.11244"/></url>
<url><loc>https://scifaro.com/en/abs/xgboost-scalable-gpu-accelerated-learning-1806.11248</loc><lastmod>2018-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xgboost-scalable-gpu-accelerated-learning-1806.11248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xgboost-scalable-gpu-accelerated-learning-1806.11248"/></url>
<url><loc>https://scifaro.com/en/abs/collective-decision-for-open-set-recognition-1806.11258</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collective-decision-for-open-set-recognition-1806.11258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collective-decision-for-open-set-recognition-1806.11258"/></url>
<url><loc>https://scifaro.com/en/abs/generate-the-corresponding-image-from-text-description-using-modified-gan-cls-algorithm-1806.11302</loc><lastmod>2018-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generate-the-corresponding-image-from-text-description-using-modified-gan-cls-algorithm-1806.11302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generate-the-corresponding-image-from-text-description-using-modified-gan-cls-algorithm-1806.11302"/></url>
<url><loc>https://scifaro.com/en/abs/guaranteed-deterministic-bounds-on-the-total-variation-distance-between-univariate-mixtures-1806.11311</loc><lastmod>2018-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guaranteed-deterministic-bounds-on-the-total-variation-distance-between-univariate-mixtures-1806.11311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guaranteed-deterministic-bounds-on-the-total-variation-distance-between-univariate-mixtures-1806.11311"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-based-distant-regularization-in-learning-probabilistic-models-1806.11332</loc><lastmod>2018-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-based-distant-regularization-in-learning-probabilistic-models-1806.11332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-based-distant-regularization-in-learning-probabilistic-models-1806.11332"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-the-quality-of-synthetic-data-for-use-in-competitions-1806.11345</loc><lastmod>2018-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-the-quality-of-synthetic-data-for-use-in-competitions-1806.11345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-the-quality-of-synthetic-data-for-use-in-competitions-1806.11345"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-graphs-with-structural-variation-1806.11377</loc><lastmod>2018-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-graphs-with-structural-variation-1806.11377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-graphs-with-structural-variation-1806.11377"/></url>
<url><loc>https://scifaro.com/en/abs/theory-iiib-generalization-in-deep-networks-1806.11379</loc><lastmod>2018-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-iiib-generalization-in-deep-networks-1806.11379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-iiib-generalization-in-deep-networks-1806.11379"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-problems-with-generative-adversarial-networks-gans-1806.11382</loc><lastmod>2018-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-problems-with-generative-adversarial-networks-gans-1806.11382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-problems-with-generative-adversarial-networks-gans-1806.11382"/></url>
<url><loc>https://scifaro.com/en/abs/bounds-on-the-approximation-power-of-feedforward-neural-networks-1806.11416</loc><lastmod>2018-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounds-on-the-approximation-power-of-feedforward-neural-networks-1806.11416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounds-on-the-approximation-power-of-feedforward-neural-networks-1806.11416"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-graph-clusterings-set-partition-measures-vs-graph-aware-measures-1806.11494</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-graph-clusterings-set-partition-measures-vs-graph-aware-measures-1806.11494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-graph-clusterings-set-partition-measures-vs-graph-aware-measures-1806.11494"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-counterfactual-risk-minimization-1806.11500</loc><lastmod>2020-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-counterfactual-risk-minimization-1806.11500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-counterfactual-risk-minimization-1806.11500"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-three-parameter-restricted-indian-buffet-process-for-understanding-international-trade-1806.11518</loc><lastmod>2018-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-three-parameter-restricted-indian-buffet-process-for-understanding-international-trade-1806.11518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-three-parameter-restricted-indian-buffet-process-for-understanding-international-trade-1806.11518"/></url>
<url><loc>https://scifaro.com/en/abs/textworld-a-learning-environment-for-text-based-games-1806.11532</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/textworld-a-learning-environment-for-text-based-games-1806.11532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/textworld-a-learning-environment-for-text-based-games-1806.11532"/></url>
<url><loc>https://scifaro.com/en/abs/an-exact-quantized-decentralized-gradient-descent-algorithm-1806.11536</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-exact-quantized-decentralized-gradient-descent-algorithm-1806.11536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-exact-quantized-decentralized-gradient-descent-algorithm-1806.11536"/></url>
<url><loc>https://scifaro.com/en/abs/training-well-generalizing-classifiers-for-fairness-metrics-and-other-data-dependent-constraints-1807.00028</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-well-generalizing-classifiers-for-fairness-metrics-and-other-data-dependent-constraints-1807.00028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-well-generalizing-classifiers-for-fairness-metrics-and-other-data-dependent-constraints-1807.00028"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-in-deep-learning-characterization-and-divergence-1807.00051</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-in-deep-learning-characterization-and-divergence-1807.00051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-in-deep-learning-characterization-and-divergence-1807.00051"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-benchmark-and-progress-toward-improved-weakly-supervised-learning-1807.00126</loc><lastmod>2018-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-benchmark-and-progress-toward-improved-weakly-supervised-learning-1807.00126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-benchmark-and-progress-toward-improved-weakly-supervised-learning-1807.00126"/></url>
<url><loc>https://scifaro.com/en/abs/game-theoretic-interpretability-for-temporal-modeling-1807.00130</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/game-theoretic-interpretability-for-temporal-modeling-1807.00130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/game-theoretic-interpretability-for-temporal-modeling-1807.00130"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-fairness-through-adversarial-learning-an-application-to-recidivism-prediction-1807.00199</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-fairness-through-adversarial-learning-an-application-to-recidivism-prediction-1807.00199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-fairness-through-adversarial-learning-an-application-to-recidivism-prediction-1807.00199"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-uncertainties-for-deep-learning-using-calibrated-regression-1807.00263</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-uncertainties-for-deep-learning-using-calibrated-regression-1807.00263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-uncertainties-for-deep-learning-using-calibrated-regression-1807.00263"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-convergence-of-the-deep-neural-network-approximation-for-analytic-functions-1807.00297</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-convergence-of-the-deep-neural-network-approximation-for-analytic-functions-1807.00297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-convergence-of-the-deep-neural-network-approximation-for-analytic-functions-1807.00297"/></url>
<url><loc>https://scifaro.com/en/abs/towards-adversarial-training-with-moderate-performance-improvement-for-neural-network-classification-1807.00340</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-adversarial-training-with-moderate-performance-improvement-for-neural-network-classification-1807.00340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-adversarial-training-with-moderate-performance-improvement-for-neural-network-classification-1807.00340"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-winning-and-losing-modeling-human-motivations-and-behaviors-using-inverse-reinforcement-learning-1807.00366</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-winning-and-losing-modeling-human-motivations-and-behaviors-using-inverse-reinforcement-learning-1807.00366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-winning-and-losing-modeling-human-motivations-and-behaviors-using-inverse-reinforcement-learning-1807.00366"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-cyclic-adversarial-learning-for-low-resource-domain-adaptation-1807.00374</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-cyclic-adversarial-learning-for-low-resource-domain-adaptation-1807.00374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-cyclic-adversarial-learning-for-low-resource-domain-adaptation-1807.00374"/></url>
<url><loc>https://scifaro.com/en/abs/towards-mixed-optimization-for-reinforcement-learning-with-program-synthesis-1807.00403</loc><lastmod>2018-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-mixed-optimization-for-reinforcement-learning-with-program-synthesis-1807.00403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-mixed-optimization-for-reinforcement-learning-with-program-synthesis-1807.00403"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-drive-in-a-day-1807.00412</loc><lastmod>2018-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-drive-in-a-day-1807.00412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-drive-in-a-day-1807.00412"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-prediction-length-for-time-series-with-sequence-to-sequence-networks-1807.00425</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-prediction-length-for-time-series-with-sequence-to-sequence-networks-1807.00425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-prediction-length-for-time-series-with-sequence-to-sequence-networks-1807.00425"/></url>
<url><loc>https://scifaro.com/en/abs/policy-optimization-with-penalized-point-probability-distance-an-alternative-to-proximal-policy-optimization-1807.00442</loc><lastmod>2019-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-optimization-with-penalized-point-probability-distance-an-alternative-to-proximal-policy-optimization-1807.00442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-optimization-with-penalized-point-probability-distance-an-alternative-to-proximal-policy-optimization-1807.00442"/></url>
<url><loc>https://scifaro.com/en/abs/speeding-up-the-metabolism-in-e-commerce-by-reinforcement-mechanism-design-1807.00448</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speeding-up-the-metabolism-in-e-commerce-by-reinforcement-mechanism-design-1807.00448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speeding-up-the-metabolism-in-e-commerce-by-reinforcement-mechanism-design-1807.00448"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-perturbations-against-real-time-video-classification-systems-1807.00458</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-perturbations-against-real-time-video-classification-systems-1807.00458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-perturbations-against-real-time-video-classification-systems-1807.00458"/></url>
<url><loc>https://scifaro.com/en/abs/automated-directed-fairness-testing-1807.00468</loc><lastmod>2018-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-directed-fairness-testing-1807.00468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-directed-fairness-testing-1807.00468"/></url>
<url><loc>https://scifaro.com/en/abs/fate-fast-and-accurate-timing-error-prediction-framework-for-low-power-dnn-accelerator-design-1807.00480</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fate-fast-and-accurate-timing-error-prediction-framework-for-low-power-dnn-accelerator-design-1807.00480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fate-fast-and-accurate-timing-error-prediction-framework-for-low-power-dnn-accelerator-design-1807.00480"/></url>
<url><loc>https://scifaro.com/en/abs/balanced-distribution-adaptation-for-transfer-learning-1807.00516</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balanced-distribution-adaptation-for-transfer-learning-1807.00516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balanced-distribution-adaptation-for-transfer-learning-1807.00516"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-with-temporal-constraints-on-spatio-temporal-data-of-human-mobility-1807.00546</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-with-temporal-constraints-on-spatio-temporal-data-of-human-mobility-1807.00546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-with-temporal-constraints-on-spatio-temporal-data-of-human-mobility-1807.00546"/></url>
<url><loc>https://scifaro.com/en/abs/a-broader-view-on-bias-in-automated-decision-making-reflecting-on-epistemology-and-dynamics-1807.00553</loc><lastmod>2018-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-broader-view-on-bias-in-automated-decision-making-reflecting-on-epistemology-and-dynamics-1807.00553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-broader-view-on-bias-in-automated-decision-making-reflecting-on-epistemology-and-dynamics-1807.00553"/></url>
<url><loc>https://scifaro.com/en/abs/relational-constraints-for-metric-learning-on-relational-data-1807.00558</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-constraints-for-metric-learning-on-relational-data-1807.00558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-constraints-for-metric-learning-on-relational-data-1807.00558"/></url>
<url><loc>https://scifaro.com/en/abs/weight-importance-sparse-training-in-keyword-spotting-1807.00560</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weight-importance-sparse-training-in-keyword-spotting-1807.00560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weight-importance-sparse-training-in-keyword-spotting-1807.00560"/></url>
<url><loc>https://scifaro.com/en/abs/logical-explanations-for-deep-relational-machines-using-relevance-information-1807.00595</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logical-explanations-for-deep-relational-machines-using-relevance-information-1807.00595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logical-explanations-for-deep-relational-machines-using-relevance-information-1807.00595"/></url>
<url><loc>https://scifaro.com/en/abs/adaptation-to-easy-data-in-prediction-with-limited-advice-1807.00636</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptation-to-easy-data-in-prediction-with-limited-advice-1807.00636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptation-to-easy-data-in-prediction-with-limited-advice-1807.00636"/></url>
<url><loc>https://scifaro.com/en/abs/the-relativistic-discriminator-a-key-element-missing-from-standard-gan-1807.00734</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-relativistic-discriminator-a-key-element-missing-from-standard-gan-1807.00734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-relativistic-discriminator-a-key-element-missing-from-standard-gan-1807.00734"/></url>
<url><loc>https://scifaro.com/en/abs/learning-goal-oriented-visual-dialog-via-tempered-policy-gradient-1807.00737</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-goal-oriented-visual-dialog-via-tempered-policy-gradient-1807.00737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-goal-oriented-visual-dialog-via-tempered-policy-gradient-1807.00737"/></url>
<url><loc>https://scifaro.com/en/abs/training-a-neural-network-in-a-low-resource-setting-on-automatically-annotated-noisy-data-1807.00745</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-a-neural-network-in-a-low-resource-setting-on-automatically-annotated-noisy-data-1807.00745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-a-neural-network-in-a-low-resource-setting-on-automatically-annotated-noisy-data-1807.00745"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-effectiveness-of-lipschitz-continuity-in-generative-adversarial-nets-1807.00751</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-effectiveness-of-lipschitz-continuity-in-generative-adversarial-nets-1807.00751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-effectiveness-of-lipschitz-continuity-in-generative-adversarial-nets-1807.00751"/></url>
<url><loc>https://scifaro.com/en/abs/leapsandbounds-a-method-for-approximately-optimal-algorithm-configuration-1807.00755</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leapsandbounds-a-method-for-approximately-optimal-algorithm-configuration-1807.00755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leapsandbounds-a-method-for-approximately-optimal-algorithm-configuration-1807.00755"/></url>
<url><loc>https://scifaro.com/en/abs/ambient-hidden-space-of-generative-adversarial-networks-1807.00780</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ambient-hidden-space-of-generative-adversarial-networks-1807.00780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ambient-hidden-space-of-generative-adversarial-networks-1807.00780"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-approach-to-quantifying-algorithmic-unfairness-measuring-individual-group-unfairness-via-inequality-indices-1807.00787</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-approach-to-quantifying-algorithmic-unfairness-measuring-individual-group-unfairness-via-inequality-indices-1807.00787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-approach-to-quantifying-algorithmic-unfairness-measuring-individual-group-unfairness-via-inequality-indices-1807.00787"/></url>
<url><loc>https://scifaro.com/en/abs/deepcode-feedback-codes-via-deep-learning-1807.00801</loc><lastmod>2018-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepcode-feedback-codes-via-deep-learning-1807.00801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepcode-feedback-codes-via-deep-learning-1807.00801"/></url>
<url><loc>https://scifaro.com/en/abs/make-nearly-every-neural-network-better-generating-neural-network-ensembles-by-weight-parameter-resampling-1807.00847</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/make-nearly-every-neural-network-better-generating-neural-network-ensembles-by-weight-parameter-resampling-1807.00847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/make-nearly-every-neural-network-better-generating-neural-network-ensembles-by-weight-parameter-resampling-1807.00847"/></url>
<url><loc>https://scifaro.com/en/abs/multi-user-multi-armed-bandits-for-uncoordinated-spectrum-access-1807.00867</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-user-multi-armed-bandits-for-uncoordinated-spectrum-access-1807.00867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-user-multi-armed-bandits-for-uncoordinated-spectrum-access-1807.00867"/></url>
<url><loc>https://scifaro.com/en/abs/learning-under-selective-labels-in-the-presence-of-expert-consistency-1807.00905</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-under-selective-labels-in-the-presence-of-expert-consistency-1807.00905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-under-selective-labels-in-the-presence-of-expert-consistency-1807.00905"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-in-the-variational-information-bottleneck-1807.00906</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-in-the-variational-information-bottleneck-1807.00906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-in-the-variational-information-bottleneck-1807.00906"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-layer-wise-precision-in-deep-neural-networks-1807.00942</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-layer-wise-precision-in-deep-neural-networks-1807.00942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-layer-wise-precision-in-deep-neural-networks-1807.00942"/></url>
<url><loc>https://scifaro.com/en/abs/modular-vehicle-control-for-transferring-semantic-information-between-weather-conditions-using-gans-1807.01001</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modular-vehicle-control-for-transferring-semantic-information-between-weather-conditions-using-gans-1807.01001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modular-vehicle-control-for-transferring-semantic-information-between-weather-conditions-using-gans-1807.01001"/></url>
<url><loc>https://scifaro.com/en/abs/coopetitive-soft-gating-ensemble-1807.01020</loc><lastmod>2018-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coopetitive-soft-gating-ensemble-1807.01020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coopetitive-soft-gating-ensemble-1807.01020"/></url>
<url><loc>https://scifaro.com/en/abs/behaviour-policy-estimation-in-off-policy-policy-evaluation-calibration-matters-1807.01066</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/behaviour-policy-estimation-in-off-policy-policy-evaluation-calibration-matters-1807.01066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/behaviour-policy-estimation-in-off-policy-policy-evaluation-calibration-matters-1807.01066"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-toolbox-v1-0-0-1807.01069</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-toolbox-v1-0-0-1807.01069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-toolbox-v1-0-0-1807.01069"/></url>
<url><loc>https://scifaro.com/en/abs/domain-aware-markov-logic-networks-1807.01082</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-aware-markov-logic-networks-1807.01082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-aware-markov-logic-networks-1807.01082"/></url>
<url><loc>https://scifaro.com/en/abs/one-class-kernel-spectral-regression-1807.01085</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-class-kernel-spectral-regression-1807.01085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-class-kernel-spectral-regression-1807.01085"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-deep-recurrent-neural-networks-for-basic-dance-step-generation-1807.01126</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-deep-recurrent-neural-networks-for-basic-dance-step-generation-1807.01126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-deep-recurrent-neural-networks-for-basic-dance-step-generation-1807.01126"/></url>
<url><loc>https://scifaro.com/en/abs/welfare-and-distributional-impacts-of-fair-classification-1807.01134</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/welfare-and-distributional-impacts-of-fair-classification-1807.01134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/welfare-and-distributional-impacts-of-fair-classification-1807.01134"/></url>
<url><loc>https://scifaro.com/en/abs/credit-default-mining-using-combined-machine-learning-and-heuristic-approach-1807.01176</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/credit-default-mining-using-combined-machine-learning-and-heuristic-approach-1807.01176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/credit-default-mining-using-combined-machine-learning-and-heuristic-approach-1807.01176"/></url>
<url><loc>https://scifaro.com/en/abs/on-decision-regions-of-narrow-deep-neural-networks-1807.01194</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-decision-regions-of-narrow-deep-neural-networks-1807.01194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-decision-regions-of-narrow-deep-neural-networks-1807.01194"/></url>
<url><loc>https://scifaro.com/en/abs/training-behavior-of-deep-neural-network-in-frequency-domain-1807.01251</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-behavior-of-deep-neural-network-in-frequency-domain-1807.01251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-behavior-of-deep-neural-network-in-frequency-domain-1807.01251"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-computational-power-of-online-gradient-descent-1807.01280</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-computational-power-of-online-gradient-descent-1807.01280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-computational-power-of-online-gradient-descent-1807.01280"/></url>
<url><loc>https://scifaro.com/en/abs/human-level-performance-in-first-person-multiplayer-games-with-population-based-deep-reinforcement-learning-1807.01281</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-level-performance-in-first-person-multiplayer-games-with-population-based-deep-reinforcement-learning-1807.01281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-level-performance-in-first-person-multiplayer-games-with-population-based-deep-reinforcement-learning-1807.01281"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-bilinear-deep-convolutional-neural-networks-for-multimodal-biometric-identification-1807.01298</loc><lastmod>2018-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-bilinear-deep-convolutional-neural-networks-for-multimodal-biometric-identification-1807.01298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-bilinear-deep-convolutional-neural-networks-for-multimodal-biometric-identification-1807.01298"/></url>
<url><loc>https://scifaro.com/en/abs/multi-level-feature-abstraction-from-convolutional-neural-networks-for-multimodal-biometric-identification-1807.01332</loc><lastmod>2018-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-level-feature-abstraction-from-convolutional-neural-networks-for-multimodal-biometric-identification-1807.01332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-level-feature-abstraction-from-convolutional-neural-networks-for-multimodal-biometric-identification-1807.01332"/></url>
<url><loc>https://scifaro.com/en/abs/cota-improving-the-speed-and-accuracy-of-customer-support-through-ranking-and-deep-networks-1807.01337</loc><lastmod>2018-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cota-improving-the-speed-and-accuracy-of-customer-support-through-ranking-and-deep-networks-1807.01337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cota-improving-the-speed-and-accuracy-of-customer-support-through-ranking-and-deep-networks-1807.01337"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-for-skin-disease-images-using-variational-autoencoder-1807.01349</loc><lastmod>2018-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-for-skin-disease-images-using-variational-autoencoder-1807.01349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-for-skin-disease-images-using-variational-autoencoder-1807.01349"/></url>
<url><loc>https://scifaro.com/en/abs/octen-online-compression-based-tensor-decomposition-1807.01350</loc><lastmod>2018-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/octen-online-compression-based-tensor-decomposition-1807.01350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/octen-online-compression-based-tensor-decomposition-1807.01350"/></url>
<url><loc>https://scifaro.com/en/abs/connecting-weighted-automata-and-recurrent-neural-networks-through-spectral-learning-1807.01406</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/connecting-weighted-automata-and-recurrent-neural-networks-through-spectral-learning-1807.01406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/connecting-weighted-automata-and-recurrent-neural-networks-through-spectral-learning-1807.01406"/></url>
<url><loc>https://scifaro.com/en/abs/sgad-soft-guided-adaptively-dropped-neural-network-1807.01430</loc><lastmod>2018-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgad-soft-guided-adaptively-dropped-neural-network-1807.01430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgad-soft-guided-adaptively-dropped-neural-network-1807.01430"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-reinforcement-learning-with-recurrent-neural-network-for-dynamic-treatment-recommendation-1807.01473</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-reinforcement-learning-with-recurrent-neural-network-for-dynamic-treatment-recommendation-1807.01473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-reinforcement-learning-with-recurrent-neural-network-for-dynamic-treatment-recommendation-1807.01473"/></url>
<url><loc>https://scifaro.com/en/abs/factored-bandits-1807.01488</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factored-bandits-1807.01488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factored-bandits-1807.01488"/></url>
<url><loc>https://scifaro.com/en/abs/curiosity-driven-exploration-of-learned-disentangled-goal-spaces-1807.01521</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curiosity-driven-exploration-of-learned-disentangled-goal-spaces-1807.01521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curiosity-driven-exploration-of-learned-disentangled-goal-spaces-1807.01521"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-neural-processes-1807.01613</loc><lastmod>2018-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-neural-processes-1807.01613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-neural-processes-1807.01613"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-learning-with-conformal-predictors-targeting-credible-predictions-of-conversion-from-mild-cognitive-impairment-to-alzheimer-s-disease-1807.01619</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-learning-with-conformal-predictors-targeting-credible-predictions-of-conversion-from-mild-cognitive-impairment-to-alzheimer-s-disease-1807.01619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-learning-with-conformal-predictors-targeting-credible-predictions-of-conversion-from-mild-cognitive-impairment-to-alzheimer-s-disease-1807.01619"/></url>
<url><loc>https://scifaro.com/en/abs/neural-processes-1807.01622</loc><lastmod>2018-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-processes-1807.01622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-processes-1807.01622"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-amplification-by-subsampling-tight-analyses-via-couplings-and-divergences-1807.01647</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-amplification-by-subsampling-tight-analyses-via-couplings-and-divergences-1807.01647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-amplification-by-subsampling-tight-analyses-via-couplings-and-divergences-1807.01647"/></url>
<url><loc>https://scifaro.com/en/abs/mixgan-learning-concepts-from-different-domains-for-mixture-generation-1807.01659</loc><lastmod>2018-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixgan-learning-concepts-from-different-domains-for-mixture-generation-1807.01659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixgan-learning-concepts-from-different-domains-for-mixture-generation-1807.01659"/></url>
<url><loc>https://scifaro.com/en/abs/ranked-reward-enabling-self-play-reinforcement-learning-for-combinatorial-optimization-1807.01672</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranked-reward-enabling-self-play-reinforcement-learning-for-combinatorial-optimization-1807.01672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranked-reward-enabling-self-play-reinforcement-learning-for-combinatorial-optimization-1807.01672"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-with-stochastic-ensemble-value-expansion-1807.01675</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-with-stochastic-ensemble-value-expansion-1807.01675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-with-stochastic-ensemble-value-expansion-1807.01675"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-neural-network-robustness-to-common-corruptions-and-surface-variations-1807.01697</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-neural-network-robustness-to-common-corruptions-and-surface-variations-1807.01697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-neural-network-robustness-to-common-corruptions-and-surface-variations-1807.01697"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-clinical-time-series-analysis-using-recurrent-neural-networks-1807.01705</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-clinical-time-series-analysis-using-recurrent-neural-networks-1807.01705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-clinical-time-series-analysis-using-recurrent-neural-networks-1807.01705"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-with-model-features-in-reinforcement-learning-1807.01736</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-with-model-features-in-reinforcement-learning-1807.01736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-with-model-features-in-reinforcement-learning-1807.01736"/></url>
<url><loc>https://scifaro.com/en/abs/direct-uncertainty-prediction-for-medical-second-opinions-1807.01771</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direct-uncertainty-prediction-for-medical-second-opinions-1807.01771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direct-uncertainty-prediction-for-medical-second-opinions-1807.01771"/></url>
<url><loc>https://scifaro.com/en/abs/bohb-robust-and-efficient-hyperparameter-optimization-at-scale-1807.01774</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bohb-robust-and-efficient-hyperparameter-optimization-at-scale-1807.01774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bohb-robust-and-efficient-hyperparameter-optimization-at-scale-1807.01774"/></url>
<url><loc>https://scifaro.com/en/abs/program-language-translation-using-a-grammar-driven-tree-to-tree-model-1807.01784</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/program-language-translation-using-a-grammar-driven-tree-to-tree-model-1807.01784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/program-language-translation-using-a-grammar-driven-tree-to-tree-model-1807.01784"/></url>
<url><loc>https://scifaro.com/en/abs/regularizing-autoencoder-based-matrix-completion-models-via-manifold-learning-1807.01798</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizing-autoencoder-based-matrix-completion-models-via-manifold-learning-1807.01798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizing-autoencoder-based-matrix-completion-models-via-manifold-learning-1807.01798"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-sampling-using-semigradient-based-product-mixtures-1807.01808</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-sampling-using-semigradient-based-product-mixtures-1807.01808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-sampling-using-semigradient-based-product-mixtures-1807.01808"/></url>
<url><loc>https://scifaro.com/en/abs/per-decision-multi-step-temporal-difference-learning-with-control-variates-1807.01830</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/per-decision-multi-step-temporal-difference-learning-with-control-variates-1807.01830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/per-decision-multi-step-temporal-difference-learning-with-control-variates-1807.01830"/></url>
<url><loc>https://scifaro.com/en/abs/logistic-regression-neural-networks-and-dempster-shafer-theory-a-new-perspective-1807.01846</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logistic-regression-neural-networks-and-dempster-shafer-theory-a-new-perspective-1807.01846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logistic-regression-neural-networks-and-dempster-shafer-theory-a-new-perspective-1807.01846"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-variational-autoencoders-with-kullback-leibler-and-renyi-integral-bounds-1807.01889</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-variational-autoencoders-with-kullback-leibler-and-renyi-integral-bounds-1807.01889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-variational-autoencoders-with-kullback-leibler-and-renyi-integral-bounds-1807.01889"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-doom-using-unsupervised-auxiliary-tasks-1807.01960</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-doom-using-unsupervised-auxiliary-tasks-1807.01960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-doom-using-unsupervised-auxiliary-tasks-1807.01960"/></url>
<url><loc>https://scifaro.com/en/abs/a-boo-n-for-evaluating-architecture-performance-1807.01961</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-boo-n-for-evaluating-architecture-performance-1807.01961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-boo-n-for-evaluating-architecture-performance-1807.01961"/></url>
<url><loc>https://scifaro.com/en/abs/arcades-a-deep-model-for-adaptive-decision-making-in-voice-controlled-smart-home-1807.01970</loc><lastmod>2018-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arcades-a-deep-model-for-adaptive-decision-making-in-voice-controlled-smart-home-1807.01970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arcades-a-deep-model-for-adaptive-decision-making-in-voice-controlled-smart-home-1807.01970"/></url>
<url><loc>https://scifaro.com/en/abs/bayesgrad-explaining-predictions-of-graph-convolutional-networks-1807.01985</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesgrad-explaining-predictions-of-graph-convolutional-networks-1807.01985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesgrad-explaining-predictions-of-graph-convolutional-networks-1807.01985"/></url>
<url><loc>https://scifaro.com/en/abs/tflms-large-model-support-in-tensorflow-by-graph-rewriting-1807.02037</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tflms-large-model-support-in-tensorflow-by-graph-rewriting-1807.02037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tflms-large-model-support-in-tensorflow-by-graph-rewriting-1807.02037"/></url>
<url><loc>https://scifaro.com/en/abs/goal-oriented-trajectories-for-efficient-exploration-1807.02078</loc><lastmod>2018-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/goal-oriented-trajectories-for-efficient-exploration-1807.02078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/goal-oriented-trajectories-for-efficient-exploration-1807.02078"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-path-integral-autoencoder-representation-learning-and-planning-for-dynamical-systems-1807.02128</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-path-integral-autoencoder-representation-learning-and-planning-for-dynamical-systems-1807.02128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-path-integral-autoencoder-representation-learning-and-planning-for-dynamical-systems-1807.02128"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-generative-modeling-of-random-noise-during-training-for-adversarial-robustness-1807.02188</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-generative-modeling-of-random-noise-during-training-for-adversarial-robustness-1807.02188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-generative-modeling-of-random-noise-during-training-for-adversarial-robustness-1807.02188"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-self-paced-learning-in-alternating-direction-method-of-multipliers-1807.02234</loc><lastmod>2018-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-self-paced-learning-in-alternating-direction-method-of-multipliers-1807.02234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-self-paced-learning-in-alternating-direction-method-of-multipliers-1807.02234"/></url>
<url><loc>https://scifaro.com/en/abs/towards-more-reliable-transfer-learning-1807.02235</loc><lastmod>2018-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-more-reliable-transfer-learning-1807.02235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-more-reliable-transfer-learning-1807.02235"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduction-for-reinforcement-learning-in-input-driven-environments-1807.02264</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduction-for-reinforcement-learning-in-input-driven-environments-1807.02264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduction-for-reinforcement-learning-in-input-driven-environments-1807.02264"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-bandits-for-incentivizing-agents-with-dynamic-preferences-1807.02297</loc><lastmod>2018-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-bandits-for-incentivizing-agents-with-dynamic-preferences-1807.02297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-bandits-for-incentivizing-agents-with-dynamic-preferences-1807.02297"/></url>
<url><loc>https://scifaro.com/en/abs/memory-augmented-policy-optimization-for-program-synthesis-and-semantic-parsing-1807.02322</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-augmented-policy-optimization-for-program-synthesis-and-semantic-parsing-1807.02322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-augmented-policy-optimization-for-program-synthesis-and-semantic-parsing-1807.02322"/></url>
<url><loc>https://scifaro.com/en/abs/sum-product-networks-for-sequence-labeling-1807.02324</loc><lastmod>2018-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sum-product-networks-for-sequence-labeling-1807.02324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sum-product-networks-for-sequence-labeling-1807.02324"/></url>
<url><loc>https://scifaro.com/en/abs/a-variational-time-series-feature-extractor-for-action-prediction-1807.02350</loc><lastmod>2018-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variational-time-series-feature-extractor-for-action-prediction-1807.02350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variational-time-series-feature-extractor-for-action-prediction-1807.02350"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-exploration-exploitation-in-non-communicating-markov-decision-processes-1807.02373</loc><lastmod>2019-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-exploration-exploitation-in-non-communicating-markov-decision-processes-1807.02373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-exploration-exploitation-in-non-communicating-markov-decision-processes-1807.02373"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multiple-instance-feature-learning-via-variational-autoencoder-1807.02490</loc><lastmod>2018-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multiple-instance-feature-learning-via-variational-autoencoder-1807.02490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multiple-instance-feature-learning-via-variational-autoencoder-1807.02490"/></url>
<url><loc>https://scifaro.com/en/abs/3d-steerable-cnns-learning-rotationally-equivariant-features-in-volumetric-data-1807.02547</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/3d-steerable-cnns-learning-rotationally-equivariant-features-in-volumetric-data-1807.02547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/3d-steerable-cnns-learning-rotationally-equivariant-features-in-volumetric-data-1807.02547"/></url>
<url><loc>https://scifaro.com/en/abs/m-adda-unsupervised-domain-adaptation-with-deep-metric-learning-1807.02552</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/m-adda-unsupervised-domain-adaptation-with-deep-metric-learning-1807.02552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/m-adda-unsupervised-domain-adaptation-with-deep-metric-learning-1807.02552"/></url>
<url><loc>https://scifaro.com/en/abs/the-goldilocks-zone-towards-better-understanding-of-neural-network-loss-landscapes-1807.02581</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-goldilocks-zone-towards-better-understanding-of-neural-network-loss-landscapes-1807.02581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-goldilocks-zone-towards-better-understanding-of-neural-network-loss-landscapes-1807.02581"/></url>
<url><loc>https://scifaro.com/en/abs/synthetic-sampling-for-multi-class-malignancy-prediction-1807.02608</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthetic-sampling-for-multi-class-malignancy-prediction-1807.02608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthetic-sampling-for-multi-class-malignancy-prediction-1807.02608"/></url>
<url><loc>https://scifaro.com/en/abs/anytime-neural-prediction-via-slicing-networks-vertically-1807.02609</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anytime-neural-prediction-via-slicing-networks-vertically-1807.02609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anytime-neural-prediction-via-slicing-networks-vertically-1807.02609"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-hyperalignment-for-multi-subject-fmri-data-alignment-1807.02612</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-hyperalignment-for-multi-subject-fmri-data-alignment-1807.02612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-hyperalignment-for-multi-subject-fmri-data-alignment-1807.02612"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-infant-motor-development-status-using-day-long-movement-data-from-wearable-sensors-1807.02617</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-infant-motor-development-status-using-day-long-movement-data-from-wearable-sensors-1807.02617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-infant-motor-development-status-using-day-long-movement-data-from-wearable-sensors-1807.02617"/></url>
<url><loc>https://scifaro.com/en/abs/optimistic-mirror-descent-in-saddle-point-problems-going-the-extra-gradient-mile-1807.02629</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimistic-mirror-descent-in-saddle-point-problems-going-the-extra-gradient-mile-1807.02629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimistic-mirror-descent-in-saddle-point-problems-going-the-extra-gradient-mile-1807.02629"/></url>
<url><loc>https://scifaro.com/en/abs/when-work-matters-transforming-classical-network-structures-to-graph-cnn-1807.02653</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-work-matters-transforming-classical-network-structures-to-graph-cnn-1807.02653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-work-matters-transforming-classical-network-structures-to-graph-cnn-1807.02653"/></url>
<url><loc>https://scifaro.com/en/abs/a-supervised-geometry-aware-mapping-approach-for-classification-of-hyperspectral-images-1807.02682</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-supervised-geometry-aware-mapping-approach-for-classification-of-hyperspectral-images-1807.02682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-supervised-geometry-aware-mapping-approach-for-classification-of-hyperspectral-images-1807.02682"/></url>
<url><loc>https://scifaro.com/en/abs/vfpred-a-fusion-of-signal-processing-and-machine-learning-techniques-in-detecting-ventricular-fibrillation-from-ecg-signals-1807.02684</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vfpred-a-fusion-of-signal-processing-and-machine-learning-techniques-in-detecting-ventricular-fibrillation-from-ecg-signals-1807.02684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vfpred-a-fusion-of-signal-processing-and-machine-learning-techniques-in-detecting-ventricular-fibrillation-from-ecg-signals-1807.02684"/></url>
<url><loc>https://scifaro.com/en/abs/balson-bayesian-least-squares-optimization-with-nonnegative-l1-norm-constraint-1807.02795</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balson-bayesian-least-squares-optimization-with-nonnegative-l1-norm-constraint-1807.02795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balson-bayesian-least-squares-optimization-with-nonnegative-l1-norm-constraint-1807.02795"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-distillation-and-incremental-classifier-learning-1807.02802</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-distillation-and-incremental-classifier-learning-1807.02802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-distillation-and-incremental-classifier-learning-1807.02802"/></url>
<url><loc>https://scifaro.com/en/abs/improving-deep-learning-through-automatic-programming-1807.02816</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-deep-learning-through-automatic-programming-1807.02816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-deep-learning-through-automatic-programming-1807.02816"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-sequential-temporal-information-with-recurrent-neural-networks-1807.02857</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-sequential-temporal-information-with-recurrent-neural-networks-1807.02857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-sequential-temporal-information-with-recurrent-neural-networks-1807.02857"/></url>
<url><loc>https://scifaro.com/en/abs/large-margin-few-shot-learning-1807.02872</loc><lastmod>2018-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-margin-few-shot-learning-1807.02872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-margin-few-shot-learning-1807.02872"/></url>
<url><loc>https://scifaro.com/en/abs/separability-is-not-the-best-goal-for-machine-learning-1807.02873</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/separability-is-not-the-best-goal-for-machine-learning-1807.02873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/separability-is-not-the-best-goal-for-machine-learning-1807.02873"/></url>
<url><loc>https://scifaro.com/en/abs/model-agnostic-supervised-local-explanations-1807.02910</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-agnostic-supervised-local-explanations-1807.02910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-agnostic-supervised-local-explanations-1807.02910"/></url>
<url><loc>https://scifaro.com/en/abs/domain2vec-deep-domain-generalization-1807.02919</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain2vec-deep-domain-generalization-1807.02919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain2vec-deep-domain-generalization-1807.02919"/></url>
<url><loc>https://scifaro.com/en/abs/jointly-learning-relevant-subgraph-patterns-and-nonlinear-models-of-their-indicators-1807.02963</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jointly-learning-relevant-subgraph-patterns-and-nonlinear-models-of-their-indicators-1807.02963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jointly-learning-relevant-subgraph-patterns-and-nonlinear-models-of-their-indicators-1807.02963"/></url>
<url><loc>https://scifaro.com/en/abs/decreasing-the-size-of-the-restricted-boltzmann-machine-1807.02999</loc><lastmod>2018-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decreasing-the-size-of-the-restricted-boltzmann-machine-1807.02999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decreasing-the-size-of-the-restricted-boltzmann-machine-1807.02999"/></url>
<url><loc>https://scifaro.com/en/abs/pioneer-networks-progressively-growing-generative-autoencoder-1807.03026</loc><lastmod>2018-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pioneer-networks-progressively-growing-generative-autoencoder-1807.03026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pioneer-networks-progressively-growing-generative-autoencoder-1807.03026"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-difference-learning-with-neural-networks-study-of-the-leakage-propagation-problem-1807.03064</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-difference-learning-with-neural-networks-study-of-the-leakage-propagation-problem-1807.03064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-difference-learning-with-neural-networks-study-of-the-leakage-propagation-problem-1807.03064"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-deep-neural-network-exact-solutions-1807.03165</loc><lastmod>2018-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-deep-neural-network-exact-solutions-1807.03165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-deep-neural-network-exact-solutions-1807.03165"/></url>
<url><loc>https://scifaro.com/en/abs/naps-natural-program-synthesis-dataset-1807.03168</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/naps-natural-program-synthesis-dataset-1807.03168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/naps-natural-program-synthesis-dataset-1807.03168"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-online-learning-with-unknown-delays-1807.03205</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-online-learning-with-unknown-delays-1807.03205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-online-learning-with-unknown-delays-1807.03205"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-decentralized-deep-learning-by-dynamic-model-averaging-1807.03210</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-decentralized-deep-learning-by-dynamic-model-averaging-1807.03210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-decentralized-deep-learning-by-dynamic-model-averaging-1807.03210"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-ecoc-algorithm-for-multiclass-microarray-data-classification-1807.03233</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-ecoc-algorithm-for-multiclass-microarray-data-classification-1807.03233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-ecoc-algorithm-for-multiclass-microarray-data-classification-1807.03233"/></url>
<url><loc>https://scifaro.com/en/abs/data-efficient-lithography-modeling-with-transfer-learning-and-active-data-selection-1807.03257</loc><lastmod>2018-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-efficient-lithography-modeling-with-transfer-learning-and-active-data-selection-1807.03257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-efficient-lithography-modeling-with-transfer-learning-and-active-data-selection-1807.03257"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-pricing-with-finitely-many-unknown-valuations-1807.03288</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-pricing-with-finitely-many-unknown-valuations-1807.03288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-pricing-with-finitely-many-unknown-valuations-1807.03288"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-of-a-ssp-s-header-bidding-strategy-using-thompson-sampling-1807.03299</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-of-a-ssp-s-header-bidding-strategy-using-thompson-sampling-1807.03299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-of-a-ssp-s-header-bidding-strategy-using-thompson-sampling-1807.03299"/></url>
<url><loc>https://scifaro.com/en/abs/online-scoring-with-delayed-information-a-convex-optimization-viewpoint-1807.03379</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-scoring-with-delayed-information-a-convex-optimization-viewpoint-1807.03379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-scoring-with-delayed-information-a-convex-optimization-viewpoint-1807.03379"/></url>
<url><loc>https://scifaro.com/en/abs/towards-non-parametric-learning-to-rank-1807.03395</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-non-parametric-learning-to-rank-1807.03395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-non-parametric-learning-to-rank-1807.03395"/></url>
<url><loc>https://scifaro.com/en/abs/igloo-slicing-the-features-space-to-represent-sequences-1807.03402</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/igloo-slicing-the-features-space-to-represent-sequences-1807.03402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/igloo-slicing-the-features-space-to-represent-sequences-1807.03402"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-variational-model-for-binary-classification-in-the-supervised-learning-context-1807.03431</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-variational-model-for-binary-classification-in-the-supervised-learning-context-1807.03431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-variational-model-for-binary-classification-in-the-supervised-learning-context-1807.03431"/></url>
<url><loc>https://scifaro.com/en/abs/dlopt-deep-learning-optimization-library-1807.03523</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dlopt-deep-learning-optimization-library-1807.03523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dlopt-deep-learning-optimization-library-1807.03523"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-approach-for-probing-the-definiteness-of-kernels-1807.03555</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-approach-for-probing-the-definiteness-of-kernels-1807.03555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-approach-for-probing-the-definiteness-of-kernels-1807.03555"/></url>
<url><loc>https://scifaro.com/en/abs/bandits-with-side-observations-bounded-vs-logarithmic-regret-1807.03558</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandits-with-side-observations-bounded-vs-logarithmic-regret-1807.03558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandits-with-side-observations-bounded-vs-logarithmic-regret-1807.03558"/></url>
<url><loc>https://scifaro.com/en/abs/a-game-based-approximate-verification-of-deep-neural-networks-with-provable-guarantees-1807.03571</loc><lastmod>2020-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-game-based-approximate-verification-of-deep-neural-networks-with-provable-guarantees-1807.03571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-game-based-approximate-verification-of-deep-neural-networks-with-provable-guarantees-1807.03571"/></url>
<url><loc>https://scifaro.com/en/abs/window-opening-model-using-deep-learning-methods-1807.03610</loc><lastmod>2018-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/window-opening-model-using-deep-learning-methods-1807.03610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/window-opening-model-using-deep-learning-methods-1807.03610"/></url>
<url><loc>https://scifaro.com/en/abs/handling-incomplete-heterogeneous-data-using-vaes-1807.03653</loc><lastmod>2020-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/handling-incomplete-heterogeneous-data-using-vaes-1807.03653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/handling-incomplete-heterogeneous-data-using-vaes-1807.03653"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-audio-transcription-on-low-resource-datasets-1807.03697</loc><lastmod>2018-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-audio-transcription-on-low-resource-datasets-1807.03697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-audio-transcription-on-low-resource-datasets-1807.03697"/></url>
<url><loc>https://scifaro.com/en/abs/deterministic-policy-gradients-with-general-state-transitions-1807.03708</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deterministic-policy-gradients-with-general-state-transitions-1807.03708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deterministic-policy-gradients-with-general-state-transitions-1807.03708"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-auto-encoder-model-for-large-scale-industrial-sensor-signal-analysis-1807.03710</loc><lastmod>2025-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-auto-encoder-model-for-large-scale-industrial-sensor-signal-analysis-1807.03710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-auto-encoder-model-for-large-scale-industrial-sensor-signal-analysis-1807.03710"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-generalization-based-zero-shot-learning-dataset-infinite-world-simple-yet-powerful-1807.03711</loc><lastmod>2018-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-generalization-based-zero-shot-learning-dataset-infinite-world-simple-yet-powerful-1807.03711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-generalization-based-zero-shot-learning-dataset-infinite-world-simple-yet-powerful-1807.03711"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-with-contrastive-predictive-coding-1807.03748</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-with-contrastive-predictive-coding-1807.03748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-with-contrastive-predictive-coding-1807.03748"/></url>
<url><loc>https://scifaro.com/en/abs/is-q-learning-provably-efficient-1807.03765</loc><lastmod>2018-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-q-learning-provably-efficient-1807.03765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-q-learning-provably-efficient-1807.03765"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-free-breathing-cardiac-mri-reconstruction-using-deep-learned-storm-priors-modl-storm-1807.03845</loc><lastmod>2018-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-free-breathing-cardiac-mri-reconstruction-using-deep-learned-storm-priors-modl-storm-1807.03845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-free-breathing-cardiac-mri-reconstruction-using-deep-learned-storm-priors-modl-storm-1807.03845"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-framework-for-model-based-deep-reinforcement-learning-with-theoretical-guarantees-1807.03858</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-framework-for-model-based-deep-reinforcement-learning-with-theoretical-guarantees-1807.03858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-framework-for-model-based-deep-reinforcement-learning-with-theoretical-guarantees-1807.03858"/></url>
<url><loc>https://scifaro.com/en/abs/learning-implicit-generative-models-by-teaching-explicit-ones-1807.03870</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-implicit-generative-models-by-teaching-explicit-ones-1807.03870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-implicit-generative-models-by-teaching-explicit-ones-1807.03870"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-comprehensive-forecasting-of-alzheimer-s-disease-progression-1807.03876</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-comprehensive-forecasting-of-alzheimer-s-disease-progression-1807.03876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-comprehensive-forecasting-of-alzheimer-s-disease-progression-1807.03876"/></url>
<url><loc>https://scifaro.com/en/abs/deep-structured-generative-models-1807.03877</loc><lastmod>2018-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-structured-generative-models-1807.03877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-structured-generative-models-1807.03877"/></url>
<url><loc>https://scifaro.com/en/abs/deepdiff-deep-learning-for-predicting-differential-gene-expression-from-histone-modifications-1807.03878</loc><lastmod>2018-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepdiff-deep-learning-for-predicting-differential-gene-expression-from-histone-modifications-1807.03878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepdiff-deep-learning-for-predicting-differential-gene-expression-from-histone-modifications-1807.03878"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-interesting-plots-in-production-yield-data-analytics-1807.03920</loc><lastmod>2018-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-interesting-plots-in-production-yield-data-analytics-1807.03920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-interesting-plots-in-production-yield-data-analytics-1807.03920"/></url>
<url><loc>https://scifaro.com/en/abs/a-hierarchical-bayesian-linear-regression-model-with-local-features-for-stochastic-dynamics-approximation-1807.03931</loc><lastmod>2018-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hierarchical-bayesian-linear-regression-model-with-local-features-for-stochastic-dynamics-approximation-1807.03931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hierarchical-bayesian-linear-regression-model-with-local-features-for-stochastic-dynamics-approximation-1807.03931"/></url>
<url><loc>https://scifaro.com/en/abs/instance-based-entropy-fuzzy-support-vector-machine-for-imbalanced-data-1807.03933</loc><lastmod>2018-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-based-entropy-fuzzy-support-vector-machine-for-imbalanced-data-1807.03933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-based-entropy-fuzzy-support-vector-machine-for-imbalanced-data-1807.03933"/></url>
<url><loc>https://scifaro.com/en/abs/learning-neural-models-for-end-to-end-clustering-1807.04001</loc><lastmod>2018-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-neural-models-for-end-to-end-clustering-1807.04001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-neural-models-for-end-to-end-clustering-1807.04001"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-in-the-presence-of-missing-data-1807.04010</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-in-the-presence-of-missing-data-1807.04010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-in-the-presence-of-missing-data-1807.04010"/></url>
<url><loc>https://scifaro.com/en/abs/on-catastrophic-forgetting-and-mode-collapse-in-generative-adversarial-networks-1807.04015</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-catastrophic-forgetting-and-mode-collapse-in-generative-adversarial-networks-1807.04015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-catastrophic-forgetting-and-mode-collapse-in-generative-adversarial-networks-1807.04015"/></url>
<url><loc>https://scifaro.com/en/abs/a-recurrent-neural-network-survival-model-predicting-web-user-return-time-1807.04098</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-recurrent-neural-network-survival-model-predicting-web-user-return-time-1807.04098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-recurrent-neural-network-survival-model-predicting-web-user-return-time-1807.04098"/></url>
<url><loc>https://scifaro.com/en/abs/vfunc-a-deep-generative-model-for-functions-1807.04106</loc><lastmod>2018-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vfunc-a-deep-generative-model-for-functions-1807.04106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vfunc-a-deep-generative-model-for-functions-1807.04106"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-statistical-dependencies-of-time-series-with-hierarchical-correlation-reconstruction-1807.04119</loc><lastmod>2019-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-statistical-dependencies-of-time-series-with-hierarchical-correlation-reconstruction-1807.04119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-statistical-dependencies-of-time-series-with-hierarchical-correlation-reconstruction-1807.04119"/></url>
<url><loc>https://scifaro.com/en/abs/therml-thermodynamics-of-machine-learning-1807.04162</loc><lastmod>2018-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/therml-thermodynamics-of-machine-learning-1807.04162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/therml-thermodynamics-of-machine-learning-1807.04162"/></url>
<url><loc>https://scifaro.com/en/abs/a-hardware-software-blueprint-for-flexible-deep-learning-specialization-1807.04188</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hardware-software-blueprint-for-flexible-deep-learning-specialization-1807.04188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hardware-software-blueprint-for-flexible-deep-learning-specialization-1807.04188"/></url>
<url><loc>https://scifaro.com/en/abs/make-ell-1-regularization-effective-in-training-sparse-cnn-1807.04222</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/make-ell-1-regularization-effective-in-training-sparse-cnn-1807.04222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/make-ell-1-regularization-effective-in-training-sparse-cnn-1807.04222"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-abstract-reasoning-in-neural-networks-1807.04225</loc><lastmod>2018-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-abstract-reasoning-in-neural-networks-1807.04225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-abstract-reasoning-in-neural-networks-1807.04225"/></url>
<url><loc>https://scifaro.com/en/abs/morse-code-datasets-for-machine-learning-1807.04239</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/morse-code-datasets-for-machine-learning-1807.04239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/morse-code-datasets-for-machine-learning-1807.04239"/></url>
<url><loc>https://scifaro.com/en/abs/deepmove-learning-place-representations-through-large-scale-movement-data-1807.04241</loc><lastmod>2018-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepmove-learning-place-representations-through-large-scale-movement-data-1807.04241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepmove-learning-place-representations-through-large-scale-movement-data-1807.04241"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-regularization-with-gans-for-semi-supervised-learning-1807.04307</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-regularization-with-gans-for-semi-supervised-learning-1807.04307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-regularization-with-gans-for-semi-supervised-learning-1807.04307"/></url>
<url><loc>https://scifaro.com/en/abs/automated-vulnerability-detection-in-source-code-using-deep-representation-learning-1807.04320</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-vulnerability-detection-in-source-code-using-deep-representation-learning-1807.04320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-vulnerability-detection-in-source-code-using-deep-representation-learning-1807.04320"/></url>
<url><loc>https://scifaro.com/en/abs/will-it-blend-composing-value-functions-in-reinforcement-learning-1807.04439</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/will-it-blend-composing-value-functions-in-reinforcement-learning-1807.04439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/will-it-blend-composing-value-functions-in-reinforcement-learning-1807.04439"/></url>
<url><loc>https://scifaro.com/en/abs/query-efficient-hard-label-black-box-attack-an-optimization-based-approach-1807.04457</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/query-efficient-hard-label-black-box-attack-an-optimization-based-approach-1807.04457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/query-efficient-hard-label-black-box-attack-an-optimization-based-approach-1807.04457"/></url>
<url><loc>https://scifaro.com/en/abs/training-neural-networks-using-features-replay-1807.04511</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-neural-networks-using-features-replay-1807.04511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-neural-networks-using-features-replay-1807.04511"/></url>
<url><loc>https://scifaro.com/en/abs/a-constrained-randomized-shortest-paths-framework-for-optimal-exploration-1807.04551</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-constrained-randomized-shortest-paths-framework-for-optimal-exploration-1807.04551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-constrained-randomized-shortest-paths-framework-for-optimal-exploration-1807.04551"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-imbalance-data-classification-using-class-expert-generative-adversarial-network-1807.04585</loc><lastmod>2018-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-imbalance-data-classification-using-class-expert-generative-adversarial-network-1807.04585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-imbalance-data-classification-using-class-expert-generative-adversarial-network-1807.04585"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-the-scalability-of-biologically-motivated-deep-learning-algorithms-and-architectures-1807.04587</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-the-scalability-of-biologically-motivated-deep-learning-algorithms-and-architectures-1807.04587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-the-scalability-of-biologically-motivated-deep-learning-algorithms-and-architectures-1807.04587"/></url>
<url><loc>https://scifaro.com/en/abs/moving-objects-analytics-survey-on-future-location-trajectory-prediction-methods-1807.04639</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moving-objects-analytics-survey-on-future-location-trajectory-prediction-methods-1807.04639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moving-objects-analytics-survey-on-future-location-trajectory-prediction-methods-1807.04639"/></url>
<url><loc>https://scifaro.com/en/abs/automatically-composing-representation-transformations-as-a-means-for-generalization-1807.04640</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatically-composing-representation-transformations-as-a-means-for-generalization-1807.04640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatically-composing-representation-transformations-as-a-means-for-generalization-1807.04640"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-that-remember-model-inversion-attacks-and-data-protection-law-1807.04644</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-that-remember-model-inversion-attacks-and-data-protection-law-1807.04644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-that-remember-model-inversion-attacks-and-data-protection-law-1807.04644"/></url>
<url><loc>https://scifaro.com/en/abs/scikit-multiflow-a-multi-output-streaming-framework-1807.04662</loc><lastmod>2020-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scikit-multiflow-a-multi-output-streaming-framework-1807.04662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scikit-multiflow-a-multi-output-streaming-framework-1807.04662"/></url>
<url><loc>https://scifaro.com/en/abs/making-efficient-use-of-a-domain-expert-s-time-in-relation-extraction-1807.04687</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-efficient-use-of-a-domain-expert-s-time-in-relation-extraction-1807.04687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-efficient-use-of-a-domain-expert-s-time-in-relation-extraction-1807.04687"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-multidimensional-rates-of-aging-from-cross-sectional-data-1807.04709</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-multidimensional-rates-of-aging-from-cross-sectional-data-1807.04709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-multidimensional-rates-of-aging-from-cross-sectional-data-1807.04709"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-matching-pursuit-for-text-classification-1807.04715</loc><lastmod>2018-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-matching-pursuit-for-text-classification-1807.04715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-matching-pursuit-for-text-classification-1807.04715"/></url>
<url><loc>https://scifaro.com/en/abs/a-large-scale-study-on-regularization-and-normalization-in-gans-1807.04720</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-large-scale-study-on-regularization-and-normalization-in-gans-1807.04720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-large-scale-study-on-regularization-and-normalization-in-gans-1807.04720"/></url>
<url><loc>https://scifaro.com/en/abs/the-bottleneck-simulator-a-model-based-deep-reinforcement-learning-approach-1807.04723</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-bottleneck-simulator-a-model-based-deep-reinforcement-learning-approach-1807.04723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-bottleneck-simulator-a-model-based-deep-reinforcement-learning-approach-1807.04723"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-convolutional-dictionary-learning-with-constrained-recurrent-sparse-auto-encoders-1807.04734</loc><lastmod>2018-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-convolutional-dictionary-learning-with-constrained-recurrent-sparse-auto-encoders-1807.04734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-convolutional-dictionary-learning-with-constrained-recurrent-sparse-auto-encoders-1807.04734"/></url>
<url><loc>https://scifaro.com/en/abs/negative-momentum-for-improved-game-dynamics-1807.04740</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/negative-momentum-for-improved-game-dynamics-1807.04740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/negative-momentum-for-improved-game-dynamics-1807.04740"/></url>
<url><loc>https://scifaro.com/en/abs/visual-reinforcement-learning-with-imagined-goals-1807.04742</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-reinforcement-learning-with-imagined-goals-1807.04742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-reinforcement-learning-with-imagined-goals-1807.04742"/></url>
<url><loc>https://scifaro.com/en/abs/improving-on-q-a-recurrent-neural-networks-using-noun-tagging-1807.04778</loc><lastmod>2018-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-on-q-a-recurrent-neural-networks-using-noun-tagging-1807.04778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-on-q-a-recurrent-neural-networks-using-noun-tagging-1807.04778"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-for-gender-classification-in-tuik-life-satisfaction-survey-1807.04800</loc><lastmod>2018-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-for-gender-classification-in-tuik-life-satisfaction-survey-1807.04800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-for-gender-classification-in-tuik-life-satisfaction-survey-1807.04800"/></url>
<url><loc>https://scifaro.com/en/abs/practical-obstacles-to-deploying-active-learning-1807.04801</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-obstacles-to-deploying-active-learning-1807.04801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-obstacles-to-deploying-active-learning-1807.04801"/></url>
<url><loc>https://scifaro.com/en/abs/tequilagan-how-to-easily-identify-gan-samples-1807.04919</loc><lastmod>2018-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tequilagan-how-to-easily-identify-gan-samples-1807.04919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tequilagan-how-to-easily-identify-gan-samples-1807.04919"/></url>
<url><loc>https://scifaro.com/en/abs/non-gaussian-component-analysis-using-entropy-methods-1807.04936</loc><lastmod>2019-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-gaussian-component-analysis-using-entropy-methods-1807.04936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-gaussian-component-analysis-using-entropy-methods-1807.04936"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-in-the-wild-1807.04950</loc><lastmod>2018-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-in-the-wild-1807.04950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-in-the-wild-1807.04950"/></url>
<url><loc>https://scifaro.com/en/abs/are-generative-deep-models-for-novelty-detection-truly-better-1807.05027</loc><lastmod>2018-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-generative-deep-models-for-novelty-detection-truly-better-1807.05027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-generative-deep-models-for-novelty-detection-truly-better-1807.05027"/></url>
<url><loc>https://scifaro.com/en/abs/tune-a-research-platform-for-distributed-model-selection-and-training-1807.05118</loc><lastmod>2018-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tune-a-research-platform-for-distributed-model-selection-and-training-1807.05118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tune-a-research-platform-for-distributed-model-selection-and-training-1807.05118"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-regularization-through-representation-learning-1807.05292</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-regularization-through-representation-learning-1807.05292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-regularization-through-representation-learning-1807.05292"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-privacy-1807.05306</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-privacy-1807.05306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-privacy-1807.05306"/></url>
<url><loc>https://scifaro.com/en/abs/how-do-classifiers-induce-agents-to-invest-effort-strategically-1807.05307</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-do-classifiers-induce-agents-to-invest-effort-strategically-1807.05307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-do-classifiers-induce-agents-to-invest-effort-strategically-1807.05307"/></url>
<url><loc>https://scifaro.com/en/abs/leflow-enabling-flexible-fpga-high-level-synthesis-of-tensorflow-deep-neural-networks-1807.05317</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leflow-enabling-flexible-fpga-high-level-synthesis-of-tensorflow-deep-neural-networks-1807.05317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leflow-enabling-flexible-fpga-high-level-synthesis-of-tensorflow-deep-neural-networks-1807.05317"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-acceleration-of-l-bfgs-with-second-order-information-and-stochastic-batches-1807.05328</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-acceleration-of-l-bfgs-with-second-order-information-and-stochastic-batches-1807.05328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-acceleration-of-l-bfgs-with-second-order-information-and-stochastic-batches-1807.05328"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-in-quasi-periodic-environments-1807.05343</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-in-quasi-periodic-environments-1807.05343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-in-quasi-periodic-environments-1807.05343"/></url>
<url><loc>https://scifaro.com/en/abs/ml-schema-exposing-the-semantics-of-machine-learning-with-schemas-and-ontologies-1807.05351</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ml-schema-exposing-the-semantics-of-machine-learning-with-schemas-and-ontologies-1807.05351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ml-schema-exposing-the-semantics-of-machine-learning-with-schemas-and-ontologies-1807.05351"/></url>
<url><loc>https://scifaro.com/en/abs/multi-time-horizon-solar-forecasting-using-recurrent-neural-network-1807.05459</loc><lastmod>2020-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-time-horizon-solar-forecasting-using-recurrent-neural-network-1807.05459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-time-horizon-solar-forecasting-using-recurrent-neural-network-1807.05459"/></url>
<url><loc>https://scifaro.com/en/abs/tractable-querying-and-learning-in-hybrid-domains-via-sum-product-networks-1807.05464</loc><lastmod>2018-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tractable-querying-and-learning-in-hybrid-domains-via-sum-product-networks-1807.05464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tractable-querying-and-learning-in-hybrid-domains-via-sum-product-networks-1807.05464"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-feature-learning-for-improving-writer-identification-1807.05490</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-feature-learning-for-improving-writer-identification-1807.05490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-feature-learning-for-improving-writer-identification-1807.05490"/></url>
<url><loc>https://scifaro.com/en/abs/magnitude-bounded-matrix-factorisation-for-recommender-systems-1807.05515</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/magnitude-bounded-matrix-factorisation-for-recommender-systems-1807.05515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/magnitude-bounded-matrix-factorisation-for-recommender-systems-1807.05515"/></url>
<url><loc>https://scifaro.com/en/abs/learning-probabilistic-logic-programs-in-continuous-domains-1807.05527</loc><lastmod>2018-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-probabilistic-logic-programs-in-continuous-domains-1807.05527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-probabilistic-logic-programs-in-continuous-domains-1807.05527"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-semantic-segmentation-on-minimal-hardware-1807.05597</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-semantic-segmentation-on-minimal-hardware-1807.05597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-semantic-segmentation-on-minimal-hardware-1807.05597"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-deinterleaving-of-dns-traffic-1807.05650</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-deinterleaving-of-dns-traffic-1807.05650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-deinterleaving-of-dns-traffic-1807.05650"/></url>
<url><loc>https://scifaro.com/en/abs/scene-learning-deep-convolutional-networks-for-wind-power-prediction-by-embedding-turbines-into-grid-space-1807.05666</loc><lastmod>2018-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scene-learning-deep-convolutional-networks-for-wind-power-prediction-by-embedding-turbines-into-grid-space-1807.05666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scene-learning-deep-convolutional-networks-for-wind-power-prediction-by-embedding-turbines-into-grid-space-1807.05666"/></url>
<url><loc>https://scifaro.com/en/abs/brief-backward-reduction-of-cnns-with-information-flow-analysis-1807.05726</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/brief-backward-reduction-of-cnns-with-information-flow-analysis-1807.05726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/brief-backward-reduction-of-cnns-with-information-flow-analysis-1807.05726"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-model-using-unregularized-score-for-anomaly-detection-with-heterogeneous-complexity-1807.05800</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-model-using-unregularized-score-for-anomaly-detection-with-heterogeneous-complexity-1807.05800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-model-using-unregularized-score-for-anomaly-detection-with-heterogeneous-complexity-1807.05800"/></url>
<url><loc>https://scifaro.com/en/abs/remember-and-forget-for-experience-replay-1807.05827</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/remember-and-forget-for-experience-replay-1807.05827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/remember-and-forget-for-experience-replay-1807.05827"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-adversarial-learning-1807.05832</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-adversarial-learning-1807.05832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-adversarial-learning-1807.05832"/></url>
<url><loc>https://scifaro.com/en/abs/toward-interpretable-deep-reinforcement-learning-with-linear-model-u-trees-1807.05887</loc><lastmod>2018-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-interpretable-deep-reinforcement-learning-with-linear-model-u-trees-1807.05887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-interpretable-deep-reinforcement-learning-with-linear-model-u-trees-1807.05887"/></url>
<url><loc>https://scifaro.com/en/abs/siamese-survival-analysis-with-competing-risks-1807.05935</loc><lastmod>2018-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/siamese-survival-analysis-with-competing-risks-1807.05935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/siamese-survival-analysis-with-competing-risks-1807.05935"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-a-unified-framework-of-generative-models-and-some-revelations-1807.05936</loc><lastmod>2018-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-a-unified-framework-of-generative-models-and-some-revelations-1807.05936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-a-unified-framework-of-generative-models-and-some-revelations-1807.05936"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-with-latent-embedding-optimization-1807.05960</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-with-latent-embedding-optimization-1807.05960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-with-latent-embedding-optimization-1807.05960"/></url>
<url><loc>https://scifaro.com/en/abs/zap-making-predictions-based-on-online-user-behavior-1807.06046</loc><lastmod>2018-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zap-making-predictions-based-on-online-user-behavior-1807.06046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zap-making-predictions-based-on-online-user-behavior-1807.06046"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-information-theoretic-distance-measures-and-bidirectional-helmholtz-machines-1807.06054</loc><lastmod>2018-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-information-theoretic-distance-measures-and-bidirectional-helmholtz-machines-1807.06054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-information-theoretic-distance-measures-and-bidirectional-helmholtz-machines-1807.06054"/></url>
<url><loc>https://scifaro.com/en/abs/online-robust-policy-learning-in-the-presence-of-unknown-adversaries-1807.06064</loc><lastmod>2018-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-robust-policy-learning-in-the-presence-of-unknown-adversaries-1807.06064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-robust-policy-learning-in-the-presence-of-unknown-adversaries-1807.06064"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-pre-trained-3d-object-detection-models-for-fast-ground-truth-generation-1807.06072</loc><lastmod>2018-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-pre-trained-3d-object-detection-models-for-fast-ground-truth-generation-1807.06072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-pre-trained-3d-object-detection-models-for-fast-ground-truth-generation-1807.06072"/></url>
<url><loc>https://scifaro.com/en/abs/prognostics-estimations-with-dynamic-states-1807.06093</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prognostics-estimations-with-dynamic-states-1807.06093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prognostics-estimations-with-dynamic-states-1807.06093"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-imitation-from-observation-1807.06158</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-imitation-from-observation-1807.06158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-imitation-from-observation-1807.06158"/></url>
<url><loc>https://scifaro.com/en/abs/layer-wise-relevance-propagation-for-explainable-recommendations-1807.06160</loc><lastmod>2018-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layer-wise-relevance-propagation-for-explainable-recommendations-1807.06160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layer-wise-relevance-propagation-for-explainable-recommendations-1807.06160"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-driven-approach-for-predicting-vegetation-related-outages-in-power-distribution-systems-1807.06180</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-driven-approach-for-predicting-vegetation-related-outages-in-power-distribution-systems-1807.06180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-driven-approach-for-predicting-vegetation-related-outages-in-power-distribution-systems-1807.06180"/></url>
<url><loc>https://scifaro.com/en/abs/rulematrix-visualizing-and-understanding-classifiers-with-rules-1807.06228</loc><lastmod>2018-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rulematrix-visualizing-and-understanding-classifiers-with-rules-1807.06228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rulematrix-visualizing-and-understanding-classifiers-with-rules-1807.06228"/></url>
<url><loc>https://scifaro.com/en/abs/learning-neuron-non-linearities-with-kernel-based-deep-neural-networks-1807.06302</loc><lastmod>2018-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-neuron-non-linearities-with-kernel-based-deep-neural-networks-1807.06302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-neuron-non-linearities-with-kernel-based-deep-neural-networks-1807.06302"/></url>
<url><loc>https://scifaro.com/en/abs/foundations-for-restraining-bolts-reinforcement-learning-with-ltlf-ldlf-restraining-specifications-1807.06333</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/foundations-for-restraining-bolts-reinforcement-learning-with-ltlf-ldlf-restraining-specifications-1807.06333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/foundations-for-restraining-bolts-reinforcement-learning-with-ltlf-ldlf-restraining-specifications-1807.06333"/></url>
<url><loc>https://scifaro.com/en/abs/introvae-introspective-variational-autoencoders-for-photographic-image-synthesis-1807.06358</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introvae-introspective-variational-autoencoders-for-photographic-image-synthesis-1807.06358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introvae-introspective-variational-autoencoders-for-photographic-image-synthesis-1807.06358"/></url>
<url><loc>https://scifaro.com/en/abs/are-efficient-deep-representations-learnable-1807.06399</loc><lastmod>2018-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-efficient-deep-representations-learnable-1807.06399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-efficient-deep-representations-learnable-1807.06399"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-the-gap-between-layout-pattern-sampling-and-hotspot-detection-via-batch-active-learning-1807.06446</loc><lastmod>2018-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-the-gap-between-layout-pattern-sampling-and-hotspot-detection-via-batch-active-learning-1807.06446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-the-gap-between-layout-pattern-sampling-and-hotspot-detection-via-batch-active-learning-1807.06446"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-memory-trees-1807.06473</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-memory-trees-1807.06473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-memory-trees-1807.06473"/></url>
<url><loc>https://scifaro.com/en/abs/automated-treatment-planning-in-radiation-therapy-using-generative-adversarial-networks-1807.06489</loc><lastmod>2018-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-treatment-planning-in-radiation-therapy-using-generative-adversarial-networks-1807.06489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-treatment-planning-in-radiation-therapy-using-generative-adversarial-networks-1807.06489"/></url>
<url><loc>https://scifaro.com/en/abs/cavity-filling-pseudo-feature-generation-for-multi-class-imbalanced-data-problems-in-deep-learning-1807.06538</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cavity-filling-pseudo-feature-generation-for-multi-class-imbalanced-data-problems-in-deep-learning-1807.06538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cavity-filling-pseudo-feature-generation-for-multi-class-imbalanced-data-problems-in-deep-learning-1807.06538"/></url>
<url><loc>https://scifaro.com/en/abs/icing-on-the-cake-an-easy-and-quick-post-learnig-method-you-can-try-after-deep-learning-1807.06540</loc><lastmod>2018-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/icing-on-the-cake-an-easy-and-quick-post-learnig-method-you-can-try-after-deep-learning-1807.06540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/icing-on-the-cake-an-easy-and-quick-post-learnig-method-you-can-try-after-deep-learning-1807.06540"/></url>
<url><loc>https://scifaro.com/en/abs/training-recurrent-neural-networks-against-noisy-computations-during-inference-1807.06555</loc><lastmod>2018-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-recurrent-neural-networks-against-noisy-computations-during-inference-1807.06555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-recurrent-neural-networks-against-noisy-computations-during-inference-1807.06555"/></url>
<url><loc>https://scifaro.com/en/abs/using-link-and-content-over-time-for-embedding-generation-in-dynamic-attributed-networks-1807.06560</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-link-and-content-over-time-for-embedding-generation-in-dynamic-attributed-networks-1807.06560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-link-and-content-over-time-for-embedding-generation-in-dynamic-attributed-networks-1807.06560"/></url>
<url><loc>https://scifaro.com/en/abs/jensen-an-easily-extensible-c-toolkit-for-production-level-machine-learning-and-convex-optimization-1807.06574</loc><lastmod>2018-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jensen-an-easily-extensible-c-toolkit-for-production-level-machine-learning-and-convex-optimization-1807.06574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jensen-an-easily-extensible-c-toolkit-for-production-level-machine-learning-and-convex-optimization-1807.06574"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-rnn-encoder-decoder-models-for-anomaly-detection-1807.06576</loc><lastmod>2018-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-rnn-encoder-decoder-models-for-anomaly-detection-1807.06576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-rnn-encoder-decoder-models-for-anomaly-detection-1807.06576"/></url>
<url><loc>https://scifaro.com/en/abs/expressive-power-of-outer-product-manifolds-on-feed-forward-neural-networks-1807.06630</loc><lastmod>2018-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expressive-power-of-outer-product-manifolds-on-feed-forward-neural-networks-1807.06630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expressive-power-of-outer-product-manifolds-on-feed-forward-neural-networks-1807.06630"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-interpolative-autoencoding-adversarial-training-on-latent-space-interpolations-encourage-convex-latent-distributions-1807.06650</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-interpolative-autoencoding-adversarial-training-on-latent-space-interpolations-encourage-convex-latent-distributions-1807.06650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-interpolative-autoencoding-adversarial-training-on-latent-space-interpolations-encourage-convex-latent-distributions-1807.06650"/></url>
<url><loc>https://scifaro.com/en/abs/airline-passenger-name-record-generation-using-generative-adversarial-networks-1807.06657</loc><lastmod>2018-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/airline-passenger-name-record-generation-using-generative-adversarial-networks-1807.06657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/airline-passenger-name-record-generation-using-generative-adversarial-networks-1807.06657"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-deep-learning-on-multi-source-private-data-1807.06689</loc><lastmod>2018-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-deep-learning-on-multi-source-private-data-1807.06689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-deep-learning-on-multi-source-private-data-1807.06689"/></url>
<url><loc>https://scifaro.com/en/abs/defend-deep-neural-networks-against-adversarial-examples-via-fixed-and-dynamic-quantized-activation-functions-1807.06714</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defend-deep-neural-networks-against-adversarial-examples-via-fixed-and-dynamic-quantized-activation-functions-1807.06714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defend-deep-neural-networks-against-adversarial-examples-via-fixed-and-dynamic-quantized-activation-functions-1807.06714"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-interpretability-a-science-rather-than-a-tool-1807.06722</loc><lastmod>2018-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-interpretability-a-science-rather-than-a-tool-1807.06722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-interpretability-a-science-rather-than-a-tool-1807.06722"/></url>
<url><loc>https://scifaro.com/en/abs/motivating-the-rules-of-the-game-for-adversarial-example-research-1807.06732</loc><lastmod>2018-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/motivating-the-rules-of-the-game-for-adversarial-example-research-1807.06732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/motivating-the-rules-of-the-game-for-adversarial-example-research-1807.06732"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-band-based-adversarial-training-for-generalized-attack-immunity-of-a3c-path-finding-1807.06752</loc><lastmod>2018-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-band-based-adversarial-training-for-generalized-attack-immunity-of-a3c-path-finding-1807.06752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-band-based-adversarial-training-for-generalized-attack-immunity-of-a3c-path-finding-1807.06752"/></url>
<url><loc>https://scifaro.com/en/abs/sysevr-a-framework-for-using-deep-learning-to-detect-software-vulnerabilities-1807.06756</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sysevr-a-framework-for-using-deep-learning-to-detect-software-vulnerabilities-1807.06756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sysevr-a-framework-for-using-deep-learning-to-detect-software-vulnerabilities-1807.06756"/></url>
<url><loc>https://scifaro.com/en/abs/general-value-function-networks-1807.06763</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-value-function-networks-1807.06763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-value-function-networks-1807.06763"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-guarantees-for-rmsprop-and-adam-in-non-convex-optimization-and-an-empirical-comparison-to-nesterov-acceleration-1807.06766</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-guarantees-for-rmsprop-and-adam-in-non-convex-optimization-and-an-empirical-comparison-to-nesterov-acceleration-1807.06766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-guarantees-for-rmsprop-and-adam-in-non-convex-optimization-and-an-empirical-comparison-to-nesterov-acceleration-1807.06766"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-knowledge-distillation-using-singular-value-decomposition-1807.06819</loc><lastmod>2018-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-knowledge-distillation-using-singular-value-decomposition-1807.06819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-knowledge-distillation-using-singular-value-decomposition-1807.06819"/></url>
<url><loc>https://scifaro.com/en/abs/towards-automated-deep-learning-efficient-joint-neural-architecture-and-hyperparameter-search-1807.06906</loc><lastmod>2018-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-automated-deep-learning-efficient-joint-neural-architecture-and-hyperparameter-search-1807.06906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-automated-deep-learning-efficient-joint-neural-architecture-and-hyperparameter-search-1807.06906"/></url>
<url><loc>https://scifaro.com/en/abs/backplay-man-muss-immer-umkehren-1807.06919</loc><lastmod>2022-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backplay-man-muss-immer-umkehren-1807.06919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backplay-man-muss-immer-umkehren-1807.06919"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-linear-complexity-reinforcement-learning-in-continuous-action-spaces-for-q-learning-algorithms-1807.06957</loc><lastmod>2018-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-linear-complexity-reinforcement-learning-in-continuous-action-spaces-for-q-learning-algorithms-1807.06957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-linear-complexity-reinforcement-learning-in-continuous-action-spaces-for-q-learning-algorithms-1807.06957"/></url>
<url><loc>https://scifaro.com/en/abs/newton-admm-a-distributed-gpu-accelerated-optimizer-for-multiclass-classification-problems-1807.07132</loc><lastmod>2020-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/newton-admm-a-distributed-gpu-accelerated-optimizer-for-multiclass-classification-problems-1807.07132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/newton-admm-a-distributed-gpu-accelerated-optimizer-for-multiclass-classification-problems-1807.07132"/></url>
<url><loc>https://scifaro.com/en/abs/deconfounding-age-effects-with-fair-representation-learning-when-assessing-dementia-1807.07217</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deconfounding-age-effects-with-fair-representation-learning-when-assessing-dementia-1807.07217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deconfounding-age-effects-with-fair-representation-learning-when-assessing-dementia-1807.07217"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-for-water-treatment-system-based-on-neural-network-with-automatic-architecture-optimization-1807.07282</loc><lastmod>2018-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-for-water-treatment-system-based-on-neural-network-with-automatic-architecture-optimization-1807.07282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-for-water-treatment-system-based-on-neural-network-with-automatic-architecture-optimization-1807.07282"/></url>
<url><loc>https://scifaro.com/en/abs/online-label-aggregation-a-variational-bayesian-approach-1807.07291</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-label-aggregation-a-variational-bayesian-approach-1807.07291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-label-aggregation-a-variational-bayesian-approach-1807.07291"/></url>
<url><loc>https://scifaro.com/en/abs/bounded-information-rate-variational-autoencoders-1807.07306</loc><lastmod>2018-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounded-information-rate-variational-autoencoders-1807.07306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounded-information-rate-variational-autoencoders-1807.07306"/></url>
<url><loc>https://scifaro.com/en/abs/sequence-to-logic-with-copy-and-cache-1807.07333</loc><lastmod>2018-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequence-to-logic-with-copy-and-cache-1807.07333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequence-to-logic-with-copy-and-cache-1807.07333"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-hypersensitive-ai-instability-in-corporate-scale-machine-learning-1807.07404</loc><lastmod>2018-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-hypersensitive-ai-instability-in-corporate-scale-machine-learning-1807.07404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-hypersensitive-ai-instability-in-corporate-scale-machine-learning-1807.07404"/></url>
<url><loc>https://scifaro.com/en/abs/improving-simple-models-with-confidence-profiles-1807.07506</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-simple-models-with-confidence-profiles-1807.07506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-simple-models-with-confidence-profiles-1807.07506"/></url>
<url><loc>https://scifaro.com/en/abs/self-organizing-maps-as-a-storage-and-transfer-mechanism-in-reinforcement-learning-1807.07530</loc><lastmod>2018-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-organizing-maps-as-a-storage-and-transfer-mechanism-in-reinforcement-learning-1807.07530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-organizing-maps-as-a-storage-and-transfer-mechanism-in-reinforcement-learning-1807.07530"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-improving-interpolation-in-autoencoders-via-an-adversarial-regularizer-1807.07543</loc><lastmod>2018-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-improving-interpolation-in-autoencoders-via-an-adversarial-regularizer-1807.07543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-improving-interpolation-in-autoencoders-via-an-adversarial-regularizer-1807.07543"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-stochastic-adversarial-autoencoder-1807.07603</loc><lastmod>2018-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-stochastic-adversarial-autoencoder-1807.07603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-stochastic-adversarial-autoencoder-1807.07603"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-metric-learning-in-presence-of-missing-data-1807.07610</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-metric-learning-in-presence-of-missing-data-1807.07610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-metric-learning-in-presence-of-missing-data-1807.07610"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-variational-particle-filtering-in-non-stationary-environments-1807.07612</loc><lastmod>2018-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-variational-particle-filtering-in-non-stationary-environments-1807.07612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-variational-particle-filtering-in-non-stationary-environments-1807.07612"/></url>
<url><loc>https://scifaro.com/en/abs/tsallis-inf-an-optimal-algorithm-for-stochastic-and-adversarial-bandits-1807.07623</loc><lastmod>2022-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tsallis-inf-an-optimal-algorithm-for-stochastic-and-adversarial-bandits-1807.07623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tsallis-inf-an-optimal-algorithm-for-stochastic-and-adversarial-bandits-1807.07623"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-time-series-prediction-with-a-hardware-based-reservoir-computer-1807.07627</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-time-series-prediction-with-a-hardware-based-reservoir-computer-1807.07627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-time-series-prediction-with-a-hardware-based-reservoir-computer-1807.07627"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-reinforcement-learning-for-zero-shot-generalization-with-subtask-dependencies-1807.07665</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-for-zero-shot-generalization-with-subtask-dependencies-1807.07665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-for-zero-shot-generalization-with-subtask-dependencies-1807.07665"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-probabilistic-inference-in-the-quest-for-physics-beyond-the-standard-model-1807.07706</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-probabilistic-inference-in-the-quest-for-physics-beyond-the-standard-model-1807.07706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-probabilistic-inference-in-the-quest-for-physics-beyond-the-standard-model-1807.07706"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-algorithms-for-uplift-modeling-1807.07909</loc><lastmod>2018-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-algorithms-for-uplift-modeling-1807.07909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-algorithms-for-uplift-modeling-1807.07909"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-bounds-on-the-vc-dimension-1807.07924</loc><lastmod>2018-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-bounds-on-the-vc-dimension-1807.07924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-bounds-on-the-vc-dimension-1807.07924"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-neural-networks-analyzed-via-inverse-problem-theory-and-sparse-representations-1807.07998</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-neural-networks-analyzed-via-inverse-problem-theory-and-sparse-representations-1807.07998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-neural-networks-analyzed-via-inverse-problem-theory-and-sparse-representations-1807.07998"/></url>
<url><loc>https://scifaro.com/en/abs/learning-optimal-resource-allocations-in-wireless-systems-1807.08088</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-optimal-resource-allocations-in-wireless-systems-1807.08088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-optimal-resource-allocations-in-wireless-systems-1807.08088"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-methods-for-restricted-strongly-convex-functions-with-applications-to-prototype-selection-1807.08091</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-methods-for-restricted-strongly-convex-functions-with-applications-to-prototype-selection-1807.08091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-methods-for-restricted-strongly-convex-functions-with-applications-to-prototype-selection-1807.08091"/></url>
<url><loc>https://scifaro.com/en/abs/what-is-not-where-the-challenge-of-integrating-spatial-representations-into-deep-learning-architectures-1807.08133</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-is-not-where-the-challenge-of-integrating-spatial-representations-into-deep-learning-architectures-1807.08133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-is-not-where-the-challenge-of-integrating-spatial-representations-into-deep-learning-architectures-1807.08133"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-analysis-of-trajectories-of-gradient-descent-in-the-optimization-of-deep-neural-networks-1807.08140</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-analysis-of-trajectories-of-gradient-descent-in-the-optimization-of-deep-neural-networks-1807.08140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-analysis-of-trajectories-of-gradient-descent-in-the-optimization-of-deep-neural-networks-1807.08140"/></url>
<url><loc>https://scifaro.com/en/abs/linear-density-based-clustering-with-a-discrete-density-model-1807.08158</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-density-based-clustering-with-a-discrete-density-model-1807.08158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-density-based-clustering-with-a-discrete-density-model-1807.08158"/></url>
<url><loc>https://scifaro.com/en/abs/recent-advances-in-deep-learning-an-overview-1807.08169</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recent-advances-in-deep-learning-an-overview-1807.08169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recent-advances-in-deep-learning-an-overview-1807.08169"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-purchasing-intent-automatic-feature-learning-using-recurrent-neural-networks-1807.08207</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-purchasing-intent-automatic-feature-learning-using-recurrent-neural-networks-1807.08207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-purchasing-intent-automatic-feature-learning-using-recurrent-neural-networks-1807.08207"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-hidden-nonlinear-dynamics-from-aggregate-data-1807.08237</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-hidden-nonlinear-dynamics-from-aggregate-data-1807.08237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-hidden-nonlinear-dynamics-from-aggregate-data-1807.08237"/></url>
<url><loc>https://scifaro.com/en/abs/navren-rl-learning-to-fly-in-real-environment-via-end-to-end-deep-reinforcement-learning-using-monocular-images-1807.08241</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/navren-rl-learning-to-fly-in-real-environment-via-end-to-end-deep-reinforcement-learning-using-monocular-images-1807.08241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/navren-rl-learning-to-fly-in-real-environment-via-end-to-end-deep-reinforcement-learning-using-monocular-images-1807.08241"/></url>
<url><loc>https://scifaro.com/en/abs/moba-slice-a-time-slice-based-evaluation-framework-of-relative-advantage-between-teams-in-moba-games-1807.08360</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moba-slice-a-time-slice-based-evaluation-framework-of-relative-advantage-between-teams-in-moba-games-1807.08360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moba-slice-a-time-slice-based-evaluation-framework-of-relative-advantage-between-teams-in-moba-games-1807.08360"/></url>
<url><loc>https://scifaro.com/en/abs/an-intersectional-definition-of-fairness-1807.08362</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-intersectional-definition-of-fairness-1807.08362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-intersectional-definition-of-fairness-1807.08362"/></url>
<url><loc>https://scifaro.com/en/abs/ensembledagger-a-bayesian-approach-to-safe-imitation-learning-1807.08364</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensembledagger-a-bayesian-approach-to-safe-imitation-learning-1807.08364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensembledagger-a-bayesian-approach-to-safe-imitation-learning-1807.08364"/></url>
<url><loc>https://scifaro.com/en/abs/aligning-points-to-lines-provable-approximations-1807.08446</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aligning-points-to-lines-provable-approximations-1807.08446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aligning-points-to-lines-provable-approximations-1807.08446"/></url>
<url><loc>https://scifaro.com/en/abs/linknbed-multi-graph-representation-learning-with-entity-linkage-1807.08447</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linknbed-multi-graph-representation-learning-with-entity-linkage-1807.08447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linknbed-multi-graph-representation-learning-with-entity-linkage-1807.08447"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-play-pong-using-policy-gradient-learning-1807.08452</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-play-pong-using-policy-gradient-learning-1807.08452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-play-pong-using-policy-gradient-learning-1807.08452"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-social-media-analysis-for-gang-violence-prevention-1807.08465</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-social-media-analysis-for-gang-violence-prevention-1807.08465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-social-media-analysis-for-gang-violence-prevention-1807.08465"/></url>
<url><loc>https://scifaro.com/en/abs/domain-generalization-via-conditional-invariant-representation-1807.08479</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-generalization-via-conditional-invariant-representation-1807.08479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-generalization-via-conditional-invariant-representation-1807.08479"/></url>
<url><loc>https://scifaro.com/en/abs/risk-bounds-for-unsupervised-cross-domain-mapping-with-ipms-1807.08501</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-bounds-for-unsupervised-cross-domain-mapping-with-ipms-1807.08501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-bounds-for-unsupervised-cross-domain-mapping-with-ipms-1807.08501"/></url>
<url><loc>https://scifaro.com/en/abs/implementing-neural-turing-machines-1807.08518</loc><lastmod>2018-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementing-neural-turing-machines-1807.08518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementing-neural-turing-machines-1807.08518"/></url>
<url><loc>https://scifaro.com/en/abs/particle-filtering-methods-for-stochastic-optimization-with-application-to-large-scale-empirical-risk-minimization-1807.08534</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-filtering-methods-for-stochastic-optimization-with-application-to-large-scale-empirical-risk-minimization-1807.08534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-filtering-methods-for-stochastic-optimization-with-application-to-large-scale-empirical-risk-minimization-1807.08534"/></url>
<url><loc>https://scifaro.com/en/abs/recent-advances-in-convolutional-neural-network-acceleration-1807.08596</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recent-advances-in-convolutional-neural-network-acceleration-1807.08596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recent-advances-in-convolutional-neural-network-acceleration-1807.08596"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-explanations-for-reinforcement-learning-in-terms-of-expected-consequences-1807.08706</loc><lastmod>2018-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-explanations-for-reinforcement-learning-in-terms-of-expected-consequences-1807.08706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-explanations-for-reinforcement-learning-in-terms-of-expected-consequences-1807.08706"/></url>
<url><loc>https://scifaro.com/en/abs/nullanet-training-deep-neural-networks-for-reduced-memory-access-inference-1807.08716</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nullanet-training-deep-neural-networks-for-reduced-memory-access-inference-1807.08716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nullanet-training-deep-neural-networks-for-reduced-memory-access-inference-1807.08716"/></url>
<url><loc>https://scifaro.com/en/abs/faster-fast-tensor-completion-with-nonconvex-regularization-1807.08725</loc><lastmod>2019-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-fast-tensor-completion-with-nonconvex-regularization-1807.08725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-fast-tensor-completion-with-nonconvex-regularization-1807.08725"/></url>
<url><loc>https://scifaro.com/en/abs/raim-recurrent-attentive-and-intensive-model-of-multimodal-patient-monitoring-data-1807.08820</loc><lastmod>2018-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/raim-recurrent-attentive-and-intensive-model-of-multimodal-patient-monitoring-data-1807.08820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/raim-recurrent-attentive-and-intensive-model-of-multimodal-patient-monitoring-data-1807.08820"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-classification-using-binary-data-1807.08825</loc><lastmod>2018-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-classification-using-binary-data-1807.08825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-classification-using-binary-data-1807.08825"/></url>
<url><loc>https://scifaro.com/en/abs/a-structured-perspective-of-volumes-on-active-learning-1807.08904</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-structured-perspective-of-volumes-on-active-learning-1807.08904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-structured-perspective-of-volumes-on-active-learning-1807.08904"/></url>
<url><loc>https://scifaro.com/en/abs/the-variational-homoencoder-learning-to-learn-high-capacity-generative-models-from-few-examples-1807.08919</loc><lastmod>2018-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-variational-homoencoder-learning-to-learn-high-capacity-generative-models-from-few-examples-1807.08919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-variational-homoencoder-learning-to-learn-high-capacity-generative-models-from-few-examples-1807.08919"/></url>
<url><loc>https://scifaro.com/en/abs/saags-biased-stochastic-variance-reduction-methods-for-large-scale-learning-1807.08934</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/saags-biased-stochastic-variance-reduction-methods-for-large-scale-learning-1807.08934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/saags-biased-stochastic-variance-reduction-methods-for-large-scale-learning-1807.08934"/></url>
<url><loc>https://scifaro.com/en/abs/deep-class-at-isic-machine-learning-challenge-2018-1807.08993</loc><lastmod>2018-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-class-at-isic-machine-learning-challenge-2018-1807.08993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-class-at-isic-machine-learning-challenge-2018-1807.08993"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-modelling-in-deep-networks-forecasting-short-and-noisy-series-1807.09011</loc><lastmod>2018-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-modelling-in-deep-networks-forecasting-short-and-noisy-series-1807.09011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-modelling-in-deep-networks-forecasting-short-and-noisy-series-1807.09011"/></url>
<url><loc>https://scifaro.com/en/abs/self-paced-learning-with-adaptive-deep-visual-embeddings-1807.09200</loc><lastmod>2018-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-paced-learning-with-adaptive-deep-visual-embeddings-1807.09200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-paced-learning-with-adaptive-deep-visual-embeddings-1807.09200"/></url>
<url><loc>https://scifaro.com/en/abs/constraint-based-visual-generation-1807.09202</loc><lastmod>2020-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constraint-based-visual-generation-1807.09202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constraint-based-visual-generation-1807.09202"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-latent-physical-properties-using-perception-prediction-networks-1807.09244</loc><lastmod>2018-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-latent-physical-properties-using-perception-prediction-networks-1807.09244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-latent-physical-properties-using-perception-prediction-networks-1807.09244"/></url>
<url><loc>https://scifaro.com/en/abs/improved-training-with-curriculum-gans-1807.09295</loc><lastmod>2018-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-training-with-curriculum-gans-1807.09295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-training-with-curriculum-gans-1807.09295"/></url>
<url><loc>https://scifaro.com/en/abs/learning-plannable-representations-with-causal-infogan-1807.09341</loc><lastmod>2018-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-plannable-representations-with-causal-infogan-1807.09341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-plannable-representations-with-causal-infogan-1807.09341"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-amortized-inference-1807.09356</loc><lastmod>2018-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-amortized-inference-1807.09356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-amortized-inference-1807.09356"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-randomized-complexity-of-minimizing-a-convex-quadratic-function-1807.09386</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-randomized-complexity-of-minimizing-a-convex-quadratic-function-1807.09386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-randomized-complexity-of-minimizing-a-convex-quadratic-function-1807.09386"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-delayed-outcomes-via-proxies-with-applications-to-recommender-systems-1807.09387</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-delayed-outcomes-via-proxies-with-applications-to-recommender-systems-1807.09387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-delayed-outcomes-via-proxies-with-applications-to-recommender-systems-1807.09387"/></url>
<url><loc>https://scifaro.com/en/abs/unbounded-output-networks-for-classification-1807.09443</loc><lastmod>2018-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbounded-output-networks-for-classification-1807.09443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbounded-output-networks-for-classification-1807.09443"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-and-semi-supervised-deep-neural-networks-for-csi-based-authentication-1807.09469</loc><lastmod>2018-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-and-semi-supervised-deep-neural-networks-for-csi-based-authentication-1807.09469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-and-semi-supervised-deep-neural-networks-for-csi-based-authentication-1807.09469"/></url>
<url><loc>https://scifaro.com/en/abs/pre-trainable-reservoir-computing-with-recursive-neural-gas-1807.09510</loc><lastmod>2018-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pre-trainable-reservoir-computing-with-recursive-neural-gas-1807.09510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pre-trainable-reservoir-computing-with-recursive-neural-gas-1807.09510"/></url>
<url><loc>https://scifaro.com/en/abs/backprop-q-generalized-backpropagation-for-stochastic-computation-graphs-1807.09511</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backprop-q-generalized-backpropagation-for-stochastic-computation-graphs-1807.09511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backprop-q-generalized-backpropagation-for-stochastic-computation-graphs-1807.09511"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-reinforcement-learning-with-regret-bounds-1807.09647</loc><lastmod>2022-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-reinforcement-learning-with-regret-bounds-1807.09647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-reinforcement-learning-with-regret-bounds-1807.09647"/></url>
<url><loc>https://scifaro.com/en/abs/a-surprising-linear-relationship-predicts-test-performance-in-deep-networks-1807.09659</loc><lastmod>2018-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-surprising-linear-relationship-predicts-test-performance-in-deep-networks-1807.09659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-surprising-linear-relationship-predicts-test-performance-in-deep-networks-1807.09659"/></url>
<url><loc>https://scifaro.com/en/abs/limitations-of-the-lipschitz-constant-as-a-defense-against-adversarial-examples-1807.09705</loc><lastmod>2018-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limitations-of-the-lipschitz-constant-as-a-defense-against-adversarial-examples-1807.09705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limitations-of-the-lipschitz-constant-as-a-defense-against-adversarial-examples-1807.09705"/></url>
<url><loc>https://scifaro.com/en/abs/padme-a-deep-learning-based-framework-for-drug-target-interaction-prediction-1807.09741</loc><lastmod>2019-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/padme-a-deep-learning-based-framework-for-drug-target-interaction-prediction-1807.09741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/padme-a-deep-learning-based-framework-for-drug-target-interaction-prediction-1807.09741"/></url>
<url><loc>https://scifaro.com/en/abs/deep-contextual-multi-armed-bandits-1807.09809</loc><lastmod>2018-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-contextual-multi-armed-bandits-1807.09809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-contextual-multi-armed-bandits-1807.09809"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-evaluation-of-lstm-cells-1807.09830</loc><lastmod>2018-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-evaluation-of-lstm-cells-1807.09830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-evaluation-of-lstm-cells-1807.09830"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-acute-kidney-injury-at-hospital-re-entry-using-high-dimensional-electronic-health-record-data-1807.09865</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-acute-kidney-injury-at-hospital-re-entry-using-high-dimensional-electronic-health-record-data-1807.09865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-acute-kidney-injury-at-hospital-re-entry-using-high-dimensional-electronic-health-record-data-1807.09865"/></url>
<url><loc>https://scifaro.com/en/abs/neural-state-classification-for-hybrid-systems-1807.09901</loc><lastmod>2019-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-state-classification-for-hybrid-systems-1807.09901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-state-classification-for-hybrid-systems-1807.09901"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-autoencoders-for-few-shot-prediction-1807.09912</loc><lastmod>2018-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-autoencoders-for-few-shot-prediction-1807.09912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-autoencoders-for-few-shot-prediction-1807.09912"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-generative-adversarial-imitation-learning-1807.09936</loc><lastmod>2018-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-generative-adversarial-imitation-learning-1807.09936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-generative-adversarial-imitation-learning-1807.09936"/></url>
<url><loc>https://scifaro.com/en/abs/computationally-efficient-measures-of-internal-neuron-importance-1807.09946</loc><lastmod>2018-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computationally-efficient-measures-of-internal-neuron-importance-1807.09946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computationally-efficient-measures-of-internal-neuron-importance-1807.09946"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-detection-of-node-replication-attack-in-vehicular-ad-hoc-networks-1807.10079</loc><lastmod>2018-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-detection-of-node-replication-attack-in-vehicular-ad-hoc-networks-1807.10079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-detection-of-node-replication-attack-in-vehicular-ad-hoc-networks-1807.10079"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-deep-unified-framework-for-nuclear-reactor-perturbation-analysis-1807.10096</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-deep-unified-framework-for-nuclear-reactor-perturbation-analysis-1807.10096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-deep-unified-framework-for-nuclear-reactor-perturbation-analysis-1807.10096"/></url>
<url><loc>https://scifaro.com/en/abs/effectiveness-of-scaled-exponentially-regularized-linear-units-serlus-1807.10117</loc><lastmod>2018-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effectiveness-of-scaled-exponentially-regularized-linear-units-serlus-1807.10117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effectiveness-of-scaled-exponentially-regularized-linear-units-serlus-1807.10117"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-approximation-framework-for-compressing-and-accelerating-deep-neural-networks-1807.10119</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-approximation-framework-for-compressing-and-accelerating-deep-neural-networks-1807.10119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-approximation-framework-for-compressing-and-accelerating-deep-neural-networks-1807.10119"/></url>
<url><loc>https://scifaro.com/en/abs/rademacher-generalization-bounds-for-classifier-chains-1807.10166</loc><lastmod>2018-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rademacher-generalization-bounds-for-classifier-chains-1807.10166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rademacher-generalization-bounds-for-classifier-chains-1807.10166"/></url>
<url><loc>https://scifaro.com/en/abs/robust-tracking-via-weighted-online-extreme-learning-machine-1807.10211</loc><lastmod>2018-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-tracking-via-weighted-online-extreme-learning-machine-1807.10211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-tracking-via-weighted-online-extreme-learning-machine-1807.10211"/></url>
<url><loc>https://scifaro.com/en/abs/aggregated-learning-a-deep-learning-framework-based-on-information-bottleneck-vector-quantization-1807.10251</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregated-learning-a-deep-learning-framework-based-on-information-bottleneck-vector-quantization-1807.10251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregated-learning-a-deep-learning-framework-based-on-information-bottleneck-vector-quantization-1807.10251"/></url>
<url><loc>https://scifaro.com/en/abs/seeded-graph-matching-via-large-neighborhood-statistics-1807.10262</loc><lastmod>2018-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seeded-graph-matching-via-large-neighborhood-statistics-1807.10262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seeded-graph-matching-via-large-neighborhood-statistics-1807.10262"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-v2v-driving-scenarios-through-traffic-primitives-1807.10422</loc><lastmod>2018-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-v2v-driving-scenarios-through-traffic-primitives-1807.10422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-v2v-driving-scenarios-through-traffic-primitives-1807.10422"/></url>
<url><loc>https://scifaro.com/en/abs/rob-gan-generator-discriminator-and-adversarial-attacker-1807.10454</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rob-gan-generator-discriminator-and-adversarial-attacker-1807.10454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rob-gan-generator-discriminator-and-adversarial-attacker-1807.10454"/></url>
<url><loc>https://scifaro.com/en/abs/acceleration-through-optimistic-no-regret-dynamics-1807.10455</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/acceleration-through-optimistic-no-regret-dynamics-1807.10455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/acceleration-through-optimistic-no-regret-dynamics-1807.10455"/></url>
<url><loc>https://scifaro.com/en/abs/axnet-approximate-computing-using-an-end-to-end-trainable-neural-network-1807.10458</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/axnet-approximate-computing-using-an-end-to-end-trainable-neural-network-1807.10458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/axnet-approximate-computing-using-an-end-to-end-trainable-neural-network-1807.10458"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-recurrent-neural-networks-behaviour-via-excitable-network-attractors-1807.10478</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-recurrent-neural-networks-behaviour-via-excitable-network-attractors-1807.10478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-recurrent-neural-networks-behaviour-via-excitable-network-attractors-1807.10478"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-overfly-algorithm-in-deep-learning-of-neural-networks-1807.10668</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-overfly-algorithm-in-deep-learning-of-neural-networks-1807.10668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-overfly-algorithm-in-deep-learning-of-neural-networks-1807.10668"/></url>
<url><loc>https://scifaro.com/en/abs/combining-restricted-boltzmann-machines-with-neural-networks-for-latent-truth-discovery-1807.10680</loc><lastmod>2018-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-restricted-boltzmann-machines-with-neural-networks-for-latent-truth-discovery-1807.10680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-restricted-boltzmann-machines-with-neural-networks-for-latent-truth-discovery-1807.10680"/></url>
<url><loc>https://scifaro.com/en/abs/learnable-theory-vs-applications-1807.10681</loc><lastmod>2018-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learnable-theory-vs-applications-1807.10681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learnable-theory-vs-applications-1807.10681"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-mixture-of-inverted-dirichlet-distributions-1807.10693</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-mixture-of-inverted-dirichlet-distributions-1807.10693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-mixture-of-inverted-dirichlet-distributions-1807.10693"/></url>
<url><loc>https://scifaro.com/en/abs/fpga-based-cnn-inference-accelerator-synthesized-from-multi-threaded-c-software-1807.10695</loc><lastmod>2018-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fpga-based-cnn-inference-accelerator-synthesized-from-multi-threaded-c-software-1807.10695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fpga-based-cnn-inference-accelerator-synthesized-from-multi-threaded-c-software-1807.10695"/></url>
<url><loc>https://scifaro.com/en/abs/deep-pdf-probabilistic-surface-optimization-and-density-estimation-1807.10728</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-pdf-probabilistic-surface-optimization-and-density-estimation-1807.10728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-pdf-probabilistic-surface-optimization-and-density-estimation-1807.10728"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-generation-of-near-optimal-topology-through-theory-driven-machine-learning-1807.10787</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-generation-of-near-optimal-topology-through-theory-driven-machine-learning-1807.10787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-generation-of-near-optimal-topology-through-theory-driven-machine-learning-1807.10787"/></url>
<url><loc>https://scifaro.com/en/abs/transportation-modes-classification-using-feature-engineering-1807.10876</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transportation-modes-classification-using-feature-engineering-1807.10876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transportation-modes-classification-using-feature-engineering-1807.10876"/></url>
<url><loc>https://scifaro.com/en/abs/bike-flow-prediction-with-multi-graph-convolutional-networks-1807.10934</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bike-flow-prediction-with-multi-graph-convolutional-networks-1807.10934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bike-flow-prediction-with-multi-graph-convolutional-networks-1807.10934"/></url>
<url><loc>https://scifaro.com/en/abs/improving-sequential-determinantal-point-processes-for-supervised-video-summarization-1807.10957</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-sequential-determinantal-point-processes-for-supervised-video-summarization-1807.10957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-sequential-determinantal-point-processes-for-supervised-video-summarization-1807.10957"/></url>
<url><loc>https://scifaro.com/en/abs/a-margin-based-mle-for-crowdsourced-partial-ranking-1807.11014</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-margin-based-mle-for-crowdsourced-partial-ranking-1807.11014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-margin-based-mle-for-crowdsourced-partial-ranking-1807.11014"/></url>
<url><loc>https://scifaro.com/en/abs/visual-analogies-between-atari-games-for-studying-transfer-learning-in-rl-1807.11074</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-analogies-between-atari-games-for-studying-transfer-learning-in-rl-1807.11074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-analogies-between-atari-games-for-studying-transfer-learning-in-rl-1807.11074"/></url>
<url><loc>https://scifaro.com/en/abs/neural-mesh-introducing-a-notion-of-space-and-conservation-of-energy-to-neural-networks-1807.11121</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-mesh-introducing-a-notion-of-space-and-conservation-of-energy-to-neural-networks-1807.11121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-mesh-introducing-a-notion-of-space-and-conservation-of-energy-to-neural-networks-1807.11121"/></url>
<url><loc>https://scifaro.com/en/abs/robust-student-network-learning-1807.11158</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-student-network-learning-1807.11158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-student-network-learning-1807.11158"/></url>
<url><loc>https://scifaro.com/en/abs/a-group-theoretic-approach-to-computational-abstraction-symmetry-driven-hierarchical-clustering-1807.11167</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-group-theoretic-approach-to-computational-abstraction-symmetry-driven-hierarchical-clustering-1807.11167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-group-theoretic-approach-to-computational-abstraction-symmetry-driven-hierarchical-clustering-1807.11167"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-an-almost-perfect-expert-1807.11169</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-an-almost-perfect-expert-1807.11169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-an-almost-perfect-expert-1807.11169"/></url>
<url><loc>https://scifaro.com/en/abs/highly-scalable-deep-learning-training-system-with-mixed-precision-training-imagenet-in-four-minutes-1807.11205</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/highly-scalable-deep-learning-training-system-with-mixed-precision-training-imagenet-in-four-minutes-1807.11205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/highly-scalable-deep-learning-training-system-with-mixed-precision-training-imagenet-in-four-minutes-1807.11205"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-conversion-of-mild-cognitive-impairments-to-alzheimer-s-disease-and-exploring-impact-of-neuroimaging-1807.11228</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-conversion-of-mild-cognitive-impairments-to-alzheimer-s-disease-and-exploring-impact-of-neuroimaging-1807.11228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-conversion-of-mild-cognitive-impairments-to-alzheimer-s-disease-and-exploring-impact-of-neuroimaging-1807.11228"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-density-estimation-based-markov-models-with-hidden-state-1807.11320</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-density-estimation-based-markov-models-with-hidden-state-1807.11320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-density-estimation-based-markov-models-with-hidden-state-1807.11320"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-gan-learning-from-a-dynamic-ensemble-of-discriminators-1807.11346</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-gan-learning-from-a-dynamic-ensemble-of-discriminators-1807.11346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-gan-learning-from-a-dynamic-ensemble-of-discriminators-1807.11346"/></url>
<url><loc>https://scifaro.com/en/abs/making-classifier-chains-resilient-to-class-imbalance-1807.11393</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-classifier-chains-resilient-to-class-imbalance-1807.11393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-classifier-chains-resilient-to-class-imbalance-1807.11393"/></url>
<url><loc>https://scifaro.com/en/abs/preference-based-online-learning-with-dueling-bandits-a-survey-1807.11398</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preference-based-online-learning-with-dueling-bandits-a-survey-1807.11398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preference-based-online-learning-with-dueling-bandits-a-survey-1807.11398"/></url>
<url><loc>https://scifaro.com/en/abs/hybridnet-classification-and-reconstruction-cooperation-for-semi-supervised-learning-1807.11407</loc><lastmod>2018-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybridnet-classification-and-reconstruction-cooperation-for-semi-supervised-learning-1807.11407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybridnet-classification-and-reconstruction-cooperation-for-semi-supervised-learning-1807.11407"/></url>
<url><loc>https://scifaro.com/en/abs/faster-convergence-generalization-in-dnns-1807.11414</loc><lastmod>2018-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-convergence-generalization-in-dnns-1807.11414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-convergence-generalization-in-dnns-1807.11414"/></url>
<url><loc>https://scifaro.com/en/abs/kalman-filter-based-heuristic-ensemble-kfhe-a-new-perspective-on-multi-class-ensemble-classification-using-kalman-filters-1807.11429</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kalman-filter-based-heuristic-ensemble-kfhe-a-new-perspective-on-multi-class-ensemble-classification-using-kalman-filters-1807.11429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kalman-filter-based-heuristic-ensemble-kfhe-a-new-perspective-on-multi-class-ensemble-classification-using-kalman-filters-1807.11429"/></url>
<url><loc>https://scifaro.com/en/abs/call-detail-records-driven-anomaly-detection-and-traffic-prediction-in-mobile-cellular-networks-1807.11545</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/call-detail-records-driven-anomaly-detection-and-traffic-prediction-in-mobile-cellular-networks-1807.11545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/call-detail-records-driven-anomaly-detection-and-traffic-prediction-in-mobile-cellular-networks-1807.11545"/></url>
<url><loc>https://scifaro.com/en/abs/k-medoids-clustering-of-data-sequences-with-composite-distributions-1807.11620</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-medoids-clustering-of-data-sequences-with-composite-distributions-1807.11620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-medoids-clustering-of-data-sequences-with-composite-distributions-1807.11620"/></url>
<url><loc>https://scifaro.com/en/abs/count-based-exploration-with-the-successor-representation-1807.11622</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/count-based-exploration-with-the-successor-representation-1807.11622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/count-based-exploration-with-the-successor-representation-1807.11622"/></url>
<url><loc>https://scifaro.com/en/abs/deep-belief-networks-based-feature-generation-and-regression-for-predicting-wind-power-1807.11682</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-belief-networks-based-feature-generation-and-regression-for-predicting-wind-power-1807.11682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-belief-networks-based-feature-generation-and-regression-for-predicting-wind-power-1807.11682"/></url>
<url><loc>https://scifaro.com/en/abs/spectrum-concentration-in-deep-residual-learning-a-free-probability-approach-1807.11694</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectrum-concentration-in-deep-residual-learning-a-free-probability-approach-1807.11694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectrum-concentration-in-deep-residual-learning-a-free-probability-approach-1807.11694"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-deep-domain-adaptation-1807.11697</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-deep-domain-adaptation-1807.11697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-deep-domain-adaptation-1807.11697"/></url>
<url><loc>https://scifaro.com/en/abs/feature-grouping-as-a-stochastic-regularizer-for-high-dimensional-structured-data-1807.11718</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-grouping-as-a-stochastic-regularizer-for-high-dimensional-structured-data-1807.11718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-grouping-as-a-stochastic-regularizer-for-high-dimensional-structured-data-1807.11718"/></url>
<url><loc>https://scifaro.com/en/abs/disaster-monitoring-using-unmanned-aerial-vehicles-and-deep-learning-1807.11805</loc><lastmod>2018-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disaster-monitoring-using-unmanned-aerial-vehicles-and-deep-learning-1807.11805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disaster-monitoring-using-unmanned-aerial-vehicles-and-deep-learning-1807.11805"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-in-agriculture-a-survey-1807.11809</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-in-agriculture-a-survey-1807.11809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-in-agriculture-a-survey-1807.11809"/></url>
<url><loc>https://scifaro.com/en/abs/t-sne-cuda-gpu-accelerated-t-sne-and-its-applications-to-modern-data-1807.11824</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/t-sne-cuda-gpu-accelerated-t-sne-and-its-applications-to-modern-data-1807.11824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/t-sne-cuda-gpu-accelerated-t-sne-and-its-applications-to-modern-data-1807.11824"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-the-ground-truth-through-crowdsourcing-1807.11836</loc><lastmod>2018-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-the-ground-truth-through-crowdsourcing-1807.11836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-the-ground-truth-through-crowdsourcing-1807.11836"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-tactical-solutions-to-operational-planning-problems-under-imperfect-information-1807.11876</loc><lastmod>2022-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-tactical-solutions-to-operational-planning-problems-under-imperfect-information-1807.11876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-tactical-solutions-to-operational-planning-problems-under-imperfect-information-1807.11876"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-descent-with-biased-but-consistent-gradient-estimators-1807.11880</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-descent-with-biased-but-consistent-gradient-estimators-1807.11880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-descent-with-biased-but-consistent-gradient-estimators-1807.11880"/></url>
<url><loc>https://scifaro.com/en/abs/on-line-adaptative-curriculum-learning-for-gans-1808.00020</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-line-adaptative-curriculum-learning-for-gans-1808.00020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-line-adaptative-curriculum-learning-for-gans-1808.00020"/></url>
<url><loc>https://scifaro.com/en/abs/techniques-for-interpretable-machine-learning-1808.00033</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/techniques-for-interpretable-machine-learning-1808.00033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/techniques-for-interpretable-machine-learning-1808.00033"/></url>
<url><loc>https://scifaro.com/en/abs/a-fuzzy-rough-based-binary-shuffled-frog-leaping-algorithm-for-feature-selection-1808.00068</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fuzzy-rough-based-binary-shuffled-frog-leaping-algorithm-for-feature-selection-1808.00068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fuzzy-rough-based-binary-shuffled-frog-leaping-algorithm-for-feature-selection-1808.00068"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-gradient-checkpoint-search-for-arbitrary-computation-graphs-1808.00079</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-gradient-checkpoint-search-for-arbitrary-computation-graphs-1808.00079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-gradient-checkpoint-search-for-arbitrary-computation-graphs-1808.00079"/></url>
<url><loc>https://scifaro.com/en/abs/subsampled-r-enyi-differential-privacy-and-analytical-moments-accountant-1808.00087</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subsampled-r-enyi-differential-privacy-and-analytical-moments-accountant-1808.00087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subsampled-r-enyi-differential-privacy-and-analytical-moments-accountant-1808.00087"/></url>
<url><loc>https://scifaro.com/en/abs/universal-approximation-with-quadratic-deep-networks-1808.00098</loc><lastmod>2019-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-approximation-with-quadratic-deep-networks-1808.00098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-approximation-with-quadratic-deep-networks-1808.00098"/></url>
<url><loc>https://scifaro.com/en/abs/probability-calibration-trees-1808.00111</loc><lastmod>2018-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probability-calibration-trees-1808.00111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probability-calibration-trees-1808.00111"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dexterous-in-hand-manipulation-1808.00177</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dexterous-in-hand-manipulation-1808.00177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dexterous-in-hand-manipulation-1808.00177"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-a-model-agnostic-framework-for-interpretation-and-diagnosis-of-machine-learning-models-1808.00196</loc><lastmod>2019-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-a-model-agnostic-framework-for-interpretation-and-diagnosis-of-machine-learning-models-1808.00196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-a-model-agnostic-framework-for-interpretation-and-diagnosis-of-machine-learning-models-1808.00196"/></url>
<url><loc>https://scifaro.com/en/abs/maxmin-linear-initialization-for-fuzzy-c-means-1808.00197</loc><lastmod>2018-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maxmin-linear-initialization-for-fuzzy-c-means-1808.00197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maxmin-linear-initialization-for-fuzzy-c-means-1808.00197"/></url>
<url><loc>https://scifaro.com/en/abs/towards-machine-learning-on-data-from-professional-cyclists-1808.00198</loc><lastmod>2018-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-machine-learning-on-data-from-professional-cyclists-1808.00198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-machine-learning-on-data-from-professional-cyclists-1808.00198"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-via-minimum-likelihood-generative-adversarial-networks-1808.00200</loc><lastmod>2018-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-via-minimum-likelihood-generative-adversarial-networks-1808.00200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-via-minimum-likelihood-generative-adversarial-networks-1808.00200"/></url>
<url><loc>https://scifaro.com/en/abs/binarized-convolutional-neural-networks-for-efficient-inference-on-gpus-1808.00209</loc><lastmod>2018-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binarized-convolutional-neural-networks-for-efficient-inference-on-gpus-1808.00209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binarized-convolutional-neural-networks-for-efficient-inference-on-gpus-1808.00209"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-evaluation-and-learning-from-logged-bandit-feedback-error-reduction-via-surrogate-policy-1808.00232</loc><lastmod>2018-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-evaluation-and-learning-from-logged-bandit-feedback-error-reduction-via-surrogate-policy-1808.00232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-evaluation-and-learning-from-logged-bandit-feedback-error-reduction-via-surrogate-policy-1808.00232"/></url>
<url><loc>https://scifaro.com/en/abs/model-order-selection-in-statistical-shape-models-1808.00309</loc><lastmod>2018-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-order-selection-in-statistical-shape-models-1808.00309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-order-selection-in-statistical-shape-models-1808.00309"/></url>
<url><loc>https://scifaro.com/en/abs/sea-a-combined-model-for-heat-demand-prediction-1808.00331</loc><lastmod>2018-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sea-a-combined-model-for-heat-demand-prediction-1808.00331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sea-a-combined-model-for-heat-demand-prediction-1808.00331"/></url>
<url><loc>https://scifaro.com/en/abs/stock-chart-pattern-recognition-with-deep-learning-1808.00418</loc><lastmod>2018-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stock-chart-pattern-recognition-with-deep-learning-1808.00418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stock-chart-pattern-recognition-with-deep-learning-1808.00418"/></url>
<url><loc>https://scifaro.com/en/abs/seq2seq-and-multi-task-learning-for-joint-intent-and-content-extraction-for-domain-specific-interpreters-1808.00423</loc><lastmod>2018-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seq2seq-and-multi-task-learning-for-joint-intent-and-content-extraction-for-domain-specific-interpreters-1808.00423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seq2seq-and-multi-task-learning-for-joint-intent-and-content-extraction-for-domain-specific-interpreters-1808.00423"/></url>
<url><loc>https://scifaro.com/en/abs/slimnets-an-exploration-of-deep-model-compression-and-acceleration-1808.00496</loc><lastmod>2018-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slimnets-an-exploration-of-deep-model-compression-and-acceleration-1808.00496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slimnets-an-exploration-of-deep-model-compression-and-acceleration-1808.00496"/></url>
<url><loc>https://scifaro.com/en/abs/mod-deepesn-modular-deep-echo-state-network-1808.00523</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mod-deepesn-modular-deep-echo-state-network-1808.00523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mod-deepesn-modular-deep-echo-state-network-1808.00523"/></url>
<url><loc>https://scifaro.com/en/abs/open-category-detection-with-pac-guarantees-1808.00529</loc><lastmod>2018-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-category-detection-with-pac-guarantees-1808.00529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-category-detection-with-pac-guarantees-1808.00529"/></url>
<url><loc>https://scifaro.com/en/abs/compressible-spectral-mixture-kernels-with-sparse-dependency-structures-for-gaussian-processes-1808.00560</loc><lastmod>2023-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressible-spectral-mixture-kernels-with-sparse-dependency-structures-for-gaussian-processes-1808.00560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressible-spectral-mixture-kernels-with-sparse-dependency-structures-for-gaussian-processes-1808.00560"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-matrix-completion-1808.00616</loc><lastmod>2018-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-matrix-completion-1808.00616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-matrix-completion-1808.00616"/></url>
<url><loc>https://scifaro.com/en/abs/fusion-subspace-clustering-full-and-incomplete-data-1808.00628</loc><lastmod>2018-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fusion-subspace-clustering-full-and-incomplete-data-1808.00628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fusion-subspace-clustering-full-and-incomplete-data-1808.00628"/></url>
<url><loc>https://scifaro.com/en/abs/induction-of-non-monotonic-logic-programs-to-explain-boosted-tree-models-using-lime-1808.00629</loc><lastmod>2018-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/induction-of-non-monotonic-logic-programs-to-explain-boosted-tree-models-using-lime-1808.00629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/induction-of-non-monotonic-logic-programs-to-explain-boosted-tree-models-using-lime-1808.00629"/></url>
<url><loc>https://scifaro.com/en/abs/online-aggregation-of-unbounded-losses-using-shifting-experts-with-confidence-1808.00741</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-aggregation-of-unbounded-losses-using-shifting-experts-with-confidence-1808.00741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-aggregation-of-unbounded-losses-using-shifting-experts-with-confidence-1808.00741"/></url>
<url><loc>https://scifaro.com/en/abs/mobile-big-data-analysis-with-machine-learning-1808.00803</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mobile-big-data-analysis-with-machine-learning-1808.00803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mobile-big-data-analysis-with-machine-learning-1808.00803"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-eeg-signal-based-on-non-gaussian-neutral-vector-1808.00814</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-eeg-signal-based-on-non-gaussian-neutral-vector-1808.00814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-eeg-signal-based-on-non-gaussian-neutral-vector-1808.00814"/></url>
<url><loc>https://scifaro.com/en/abs/dirichlet-mixture-model-based-vq-performance-prediction-for-line-spectral-frequency-1808.00818</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dirichlet-mixture-model-based-vq-performance-prediction-for-line-spectral-frequency-1808.00818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dirichlet-mixture-model-based-vq-performance-prediction-for-line-spectral-frequency-1808.00818"/></url>
<url><loc>https://scifaro.com/en/abs/normalization-before-shaking-toward-learning-symmetrically-distributed-representation-without-margin-in-speech-emotion-recognition-1808.00876</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalization-before-shaking-toward-learning-symmetrically-distributed-representation-without-margin-in-speech-emotion-recognition-1808.00876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalization-before-shaking-toward-learning-symmetrically-distributed-representation-without-margin-in-speech-emotion-recognition-1808.00876"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-classification-for-object-identification-in-urban-areas-using-satellite-imagery-1808.00878</loc><lastmod>2018-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-classification-for-object-identification-in-urban-areas-using-satellite-imagery-1808.00878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-classification-for-object-identification-in-urban-areas-using-satellite-imagery-1808.00878"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-of-space-fractional-differential-equations-1808.00931</loc><lastmod>2019-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-of-space-fractional-differential-equations-1808.00931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-of-space-fractional-differential-equations-1808.00931"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-kernel-pca-with-tilde-o-sqrt-n-random-features-1808.00934</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-kernel-pca-with-tilde-o-sqrt-n-random-features-1808.00934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-kernel-pca-with-tilde-o-sqrt-n-random-features-1808.00934"/></url>
<url><loc>https://scifaro.com/en/abs/impacts-of-weather-conditions-on-district-heat-system-1808.00961</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impacts-of-weather-conditions-on-district-heat-system-1808.00961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impacts-of-weather-conditions-on-district-heat-system-1808.00961"/></url>
<url><loc>https://scifaro.com/en/abs/variational-information-bottleneck-on-vector-quantized-autoencoders-1808.01048</loc><lastmod>2018-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-information-bottleneck-on-vector-quantized-autoencoders-1808.01048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-information-bottleneck-on-vector-quantized-autoencoders-1808.01048"/></url>
<url><loc>https://scifaro.com/en/abs/helix-accelerating-human-in-the-loop-machine-learning-1808.01095</loc><lastmod>2018-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/helix-accelerating-human-in-the-loop-machine-learning-1808.01095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/helix-accelerating-human-in-the-loop-machine-learning-1808.01095"/></url>
<url><loc>https://scifaro.com/en/abs/phi-scrubber-a-deep-learning-approach-1808.01128</loc><lastmod>2018-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phi-scrubber-a-deep-learning-approach-1808.01128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phi-scrubber-a-deep-learning-approach-1808.01128"/></url>
<url><loc>https://scifaro.com/en/abs/multitask-gaussian-process-with-hierarchical-latent-interactions-1808.01132</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multitask-gaussian-process-with-hierarchical-latent-interactions-1808.01132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multitask-gaussian-process-with-hierarchical-latent-interactions-1808.01132"/></url>
<url><loc>https://scifaro.com/en/abs/hoeffding-trees-with-nmin-adaptation-1808.01145</loc><lastmod>2018-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hoeffding-trees-with-nmin-adaptation-1808.01145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hoeffding-trees-with-nmin-adaptation-1808.01145"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-error-in-deep-learning-1808.01174</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-error-in-deep-learning-1808.01174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-error-in-deep-learning-1808.01174"/></url>
<url><loc>https://scifaro.com/en/abs/robust-spectral-filtering-and-anomaly-detection-1808.01181</loc><lastmod>2018-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-spectral-filtering-and-anomaly-detection-1808.01181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-spectral-filtering-and-anomaly-detection-1808.01181"/></url>
<url><loc>https://scifaro.com/en/abs/learning-overparameterized-neural-networks-via-stochastic-gradient-descent-on-structured-data-1808.01204</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-overparameterized-neural-networks-via-stochastic-gradient-descent-on-structured-data-1808.01204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-overparameterized-neural-networks-via-stochastic-gradient-descent-on-structured-data-1808.01204"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-the-performance-of-multi-objective-optimization-when-learning-bayesian-networks-1808.01345</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-the-performance-of-multi-objective-optimization-when-learning-bayesian-networks-1808.01345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-the-performance-of-multi-objective-optimization-when-learning-bayesian-networks-1808.01345"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-language-modeling-converging-on-40gb-of-text-in-four-hours-1808.01371</loc><lastmod>2018-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-language-modeling-converging-on-40gb-of-text-in-four-hours-1808.01371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-language-modeling-converging-on-40gb-of-text-in-four-hours-1808.01371"/></url>
<url><loc>https://scifaro.com/en/abs/code2seq-generating-sequences-from-structured-representations-of-code-1808.01400</loc><lastmod>2019-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/code2seq-generating-sequences-from-structured-representations-of-code-1808.01400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/code2seq-generating-sequences-from-structured-representations-of-code-1808.01400"/></url>
<url><loc>https://scifaro.com/en/abs/delimit-pytorch-an-extension-for-deep-learning-in-diffusion-imaging-1808.01517</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delimit-pytorch-an-extension-for-deep-learning-in-diffusion-imaging-1808.01517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delimit-pytorch-an-extension-for-deep-learning-in-diffusion-imaging-1808.01517"/></url>
<url><loc>https://scifaro.com/en/abs/learning-disentangled-representation-from-12-lead-electrograms-application-in-localizing-the-origin-of-ventricular-tachycardia-1808.01524</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-disentangled-representation-from-12-lead-electrograms-application-in-localizing-the-origin-of-ventricular-tachycardia-1808.01524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-disentangled-representation-from-12-lead-electrograms-application-in-localizing-the-origin-of-ventricular-tachycardia-1808.01524"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-one-shot-learning-for-artificially-intelligent-classification-systems-1808.01527</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-one-shot-learning-for-artificially-intelligent-classification-systems-1808.01527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-one-shot-learning-for-artificially-intelligent-classification-systems-1808.01527"/></url>
<url><loc>https://scifaro.com/en/abs/global-convergence-to-the-equilibrium-of-gans-using-variational-inequalities-1808.01531</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convergence-to-the-equilibrium-of-gans-using-variational-inequalities-1808.01531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convergence-to-the-equilibrium-of-gans-using-variational-inequalities-1808.01531"/></url>
<url><loc>https://scifaro.com/en/abs/designing-adaptive-neural-networks-for-energy-constrained-image-classification-1808.01550</loc><lastmod>2018-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-adaptive-neural-networks-for-energy-constrained-image-classification-1808.01550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-adaptive-neural-networks-for-energy-constrained-image-classification-1808.01550"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoder-based-sample-selection-for-self-taught-learning-1808.01574</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoder-based-sample-selection-for-self-taught-learning-1808.01574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoder-based-sample-selection-for-self-taught-learning-1808.01574"/></url>
<url><loc>https://scifaro.com/en/abs/using-machine-learning-safely-in-automotive-software-an-assessment-and-adaption-of-software-process-requirements-in-iso-26262-1808.01614</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-machine-learning-safely-in-automotive-software-an-assessment-and-adaption-of-software-process-requirements-in-iso-26262-1808.01614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-machine-learning-safely-in-automotive-software-an-assessment-and-adaption-of-software-process-requirements-in-iso-26262-1808.01614"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-learning-with-deep-generative-models-from-perspective-of-graphical-modeling-1808.01630</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-learning-with-deep-generative-models-from-perspective-of-graphical-modeling-1808.01630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-learning-with-deep-generative-models-from-perspective-of-graphical-modeling-1808.01630"/></url>
<url><loc>https://scifaro.com/en/abs/structured-adversarial-attack-towards-general-implementation-and-better-interpretability-1808.01664</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-adversarial-attack-towards-general-implementation-and-better-interpretability-1808.01664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-adversarial-attack-towards-general-implementation-and-better-interpretability-1808.01664"/></url>
<url><loc>https://scifaro.com/en/abs/missing-value-imputation-based-on-deep-generative-models-1808.01684</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/missing-value-imputation-based-on-deep-generative-models-1808.01684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/missing-value-imputation-based-on-deep-generative-models-1808.01684"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-subspace-learning-for-high-dimensional-data-1808.01687</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-subspace-learning-for-high-dimensional-data-1808.01687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-subspace-learning-for-high-dimensional-data-1808.01687"/></url>
<url><loc>https://scifaro.com/en/abs/concentration-bounds-for-empirical-conditional-value-at-risk-the-unbounded-case-1808.01739</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concentration-bounds-for-empirical-conditional-value-at-risk-the-unbounded-case-1808.01739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concentration-bounds-for-empirical-conditional-value-at-risk-the-unbounded-case-1808.01739"/></url>
<url><loc>https://scifaro.com/en/abs/nimfa-a-python-library-for-nonnegative-matrix-factorization-1808.01743</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nimfa-a-python-library-for-nonnegative-matrix-factorization-1808.01743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nimfa-a-python-library-for-nonnegative-matrix-factorization-1808.01743"/></url>
<url><loc>https://scifaro.com/en/abs/regret-bounds-for-reinforcement-learning-via-markov-chain-concentration-1808.01813</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-bounds-for-reinforcement-learning-via-markov-chain-concentration-1808.01813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-bounds-for-reinforcement-learning-via-markov-chain-concentration-1808.01813"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-1-2-approximation-for-submodular-maximization-on-massive-data-streams-1808.01842</loc><lastmod>2018-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-1-2-approximation-for-submodular-maximization-on-massive-data-streams-1808.01842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-1-2-approximation-for-submodular-maximization-on-massive-data-streams-1808.01842"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-multivariate-policy-evaluation-and-exploration-with-the-bellman-gan-1808.01960</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-multivariate-policy-evaluation-and-exploration-with-the-bellman-gan-1808.01960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-multivariate-policy-evaluation-and-exploration-with-the-bellman-gan-1808.01960"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-deep-transfer-learning-1808.01974</loc><lastmod>2018-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-deep-transfer-learning-1808.01974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-deep-transfer-learning-1808.01974"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-surrogate-approaches-to-non-negative-matrix-factorization-1808.01975</loc><lastmod>2018-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-surrogate-approaches-to-non-negative-matrix-factorization-1808.01975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-surrogate-approaches-to-non-negative-matrix-factorization-1808.01975"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-vision-challenge-1808.01976</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-vision-challenge-1808.01976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-vision-challenge-1808.01976"/></url>
<url><loc>https://scifaro.com/en/abs/hashing-with-binary-matrix-pursuit-1808.01990</loc><lastmod>2018-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hashing-with-binary-matrix-pursuit-1808.01990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hashing-with-binary-matrix-pursuit-1808.01990"/></url>
<url><loc>https://scifaro.com/en/abs/paying-attention-to-attention-highlighting-influential-samples-in-sequential-analysis-1808.02113</loc><lastmod>2018-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/paying-attention-to-attention-highlighting-influential-samples-in-sequential-analysis-1808.02113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/paying-attention-to-attention-highlighting-influential-samples-in-sequential-analysis-1808.02113"/></url>
<url><loc>https://scifaro.com/en/abs/structure-learning-for-relational-logistic-regression-an-ensemble-approach-1808.02123</loc><lastmod>2018-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-learning-for-relational-logistic-regression-an-ensemble-approach-1808.02123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-learning-for-relational-logistic-regression-an-ensemble-approach-1808.02123"/></url>
<url><loc>https://scifaro.com/en/abs/fast-variance-reduction-method-with-stochastic-batch-size-1808.02169</loc><lastmod>2018-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-variance-reduction-method-with-stochastic-batch-size-1808.02169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-variance-reduction-method-with-stochastic-batch-size-1808.02169"/></url>
<url><loc>https://scifaro.com/en/abs/instance-dependent-pu-learning-by-bayesian-optimal-relabeling-1808.02180</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-dependent-pu-learning-by-bayesian-optimal-relabeling-1808.02180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-dependent-pu-learning-by-bayesian-optimal-relabeling-1808.02180"/></url>
<url><loc>https://scifaro.com/en/abs/grassmannian-learning-embedding-geometry-awareness-in-shallow-and-deep-learning-1808.02229</loc><lastmod>2018-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grassmannian-learning-embedding-geometry-awareness-in-shallow-and-deep-learning-1808.02229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grassmannian-learning-embedding-geometry-awareness-in-shallow-and-deep-learning-1808.02229"/></url>
<url><loc>https://scifaro.com/en/abs/deep-stacked-stochastic-configuration-networks-for-lifelong-learning-of-non-stationary-data-streams-1808.02234</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-stacked-stochastic-configuration-networks-for-lifelong-learning-of-non-stationary-data-streams-1808.02234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-stacked-stochastic-configuration-networks-for-lifelong-learning-of-non-stationary-data-streams-1808.02234"/></url>
<url><loc>https://scifaro.com/en/abs/multi-output-convolution-spectral-mixture-for-gaussian-processes-1808.02266</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-output-convolution-spectral-mixture-for-gaussian-processes-1808.02266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-output-convolution-spectral-mixture-for-gaussian-processes-1808.02266"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-numerical-representations-for-deep-neural-networks-1808.02513</loc><lastmod>2018-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-numerical-representations-for-deep-neural-networks-1808.02513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-numerical-representations-for-deep-neural-networks-1808.02513"/></url>
<url><loc>https://scifaro.com/en/abs/piveted-granite-computational-phenotypes-through-constrained-tensor-factorization-1808.02602</loc><lastmod>2018-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/piveted-granite-computational-phenotypes-through-constrained-tensor-factorization-1808.02602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/piveted-granite-computational-phenotypes-through-constrained-tensor-factorization-1808.02602"/></url>
<url><loc>https://scifaro.com/en/abs/l-shapley-and-c-shapley-efficient-model-interpretation-for-structured-data-1808.02610</loc><lastmod>2018-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l-shapley-and-c-shapley-efficient-model-interpretation-for-structured-data-1808.02610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l-shapley-and-c-shapley-efficient-model-interpretation-for-structured-data-1808.02610"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-pixel-norm-balls-parametric-adversaries-using-an-analytically-differentiable-renderer-1808.02651</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-pixel-norm-balls-parametric-adversaries-using-an-analytically-differentiable-renderer-1808.02651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-pixel-norm-balls-parametric-adversaries-using-an-analytically-differentiable-renderer-1808.02651"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-a-class-of-adam-type-algorithms-for-non-convex-optimization-1808.02941</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-a-class-of-adam-type-algorithms-for-non-convex-optimization-1808.02941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-a-class-of-adam-type-algorithms-for-non-convex-optimization-1808.02941"/></url>
<url><loc>https://scifaro.com/en/abs/feature-dimensionality-reduction-for-video-affect-classification-a-comparative-study-1808.02956</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-dimensionality-reduction-for-video-affect-classification-a-comparative-study-1808.02956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-dimensionality-reduction-for-video-affect-classification-a-comparative-study-1808.02956"/></url>
<url><loc>https://scifaro.com/en/abs/policy-optimization-as-wasserstein-gradient-flows-1808.03030</loc><lastmod>2018-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-optimization-as-wasserstein-gradient-flows-1808.03030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-optimization-as-wasserstein-gradient-flows-1808.03030"/></url>
<url><loc>https://scifaro.com/en/abs/oboe-collaborative-filtering-for-automl-model-selection-1808.03233</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oboe-collaborative-filtering-for-automl-model-selection-1808.03233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oboe-collaborative-filtering-for-automl-model-selection-1808.03233"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-bounded-total-variation-denoising-in-urban-traffic-analysis-1808.03258</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-bounded-total-variation-denoising-in-urban-traffic-analysis-1808.03258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-bounded-total-variation-denoising-in-urban-traffic-analysis-1808.03258"/></url>
<url><loc>https://scifaro.com/en/abs/alpha-approximation-density-based-clustering-of-multi-valued-objects-1808.03300</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alpha-approximation-density-based-clustering-of-multi-valued-objects-1808.03300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alpha-approximation-density-based-clustering-of-multi-valued-objects-1808.03300"/></url>
<url><loc>https://scifaro.com/en/abs/fundamentals-of-recurrent-neural-network-rnn-and-long-short-term-memory-lstm-network-1808.03314</loc><lastmod>2023-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fundamentals-of-recurrent-neural-network-rnn-and-long-short-term-memory-lstm-network-1808.03314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fundamentals-of-recurrent-neural-network-rnn-and-long-short-term-memory-lstm-network-1808.03314"/></url>
<url><loc>https://scifaro.com/en/abs/linked-causal-variational-autoencoder-for-inferring-paired-spillover-effects-1808.03333</loc><lastmod>2018-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linked-causal-variational-autoencoder-for-inferring-paired-spillover-effects-1808.03333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linked-causal-variational-autoencoder-for-inferring-paired-spillover-effects-1808.03333"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-analysis-of-adagrad-with-weighted-aggregation-and-momentum-acceleration-1808.03408</loc><lastmod>2023-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-analysis-of-adagrad-with-weighted-aggregation-and-momentum-acceleration-1808.03408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-analysis-of-adagrad-with-weighted-aggregation-and-momentum-acceleration-1808.03408"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-block-sparse-neural-networks-1808.03420</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-block-sparse-neural-networks-1808.03420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-block-sparse-neural-networks-1808.03420"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-algorithms-for-approximating-the-diameter-of-machine-learning-datasets-in-multidimensional-euclidean-space-1808.03566</loc><lastmod>2018-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-algorithms-for-approximating-the-diameter-of-machine-learning-datasets-in-multidimensional-euclidean-space-1808.03566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-algorithms-for-approximating-the-diameter-of-machine-learning-datasets-in-multidimensional-euclidean-space-1808.03566"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-is-a-special-case-of-the-stochastic-delta-rule-faster-and-more-accurate-deep-learning-1808.03578</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-is-a-special-case-of-the-stochastic-delta-rule-faster-and-more-accurate-deep-learning-1808.03578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-is-a-special-case-of-the-stochastic-delta-rule-faster-and-more-accurate-deep-learning-1808.03578"/></url>
<url><loc>https://scifaro.com/en/abs/how-complex-is-your-classification-problem-a-survey-on-measuring-classification-complexity-1808.03591</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-complex-is-your-classification-problem-a-survey-on-measuring-classification-complexity-1808.03591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-complex-is-your-classification-problem-a-survey-on-measuring-classification-complexity-1808.03591"/></url>
<url><loc>https://scifaro.com/en/abs/disease-progression-timeline-estimation-for-alzheimer-s-disease-using-discriminative-event-based-modeling-1808.03604</loc><lastmod>2019-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disease-progression-timeline-estimation-for-alzheimer-s-disease-using-discriminative-event-based-modeling-1808.03604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disease-progression-timeline-estimation-for-alzheimer-s-disease-using-discriminative-event-based-modeling-1808.03604"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-kalman-inversion-a-derivative-free-technique-for-machine-learning-tasks-1808.03620</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-kalman-inversion-a-derivative-free-technique-for-machine-learning-tasks-1808.03620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-kalman-inversion-a-derivative-free-technique-for-machine-learning-tasks-1808.03620"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-encapsulation-1808.03749</loc><lastmod>2018-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-encapsulation-1808.03749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-encapsulation-1808.03749"/></url>
<url><loc>https://scifaro.com/en/abs/marvin-an-open-machine-learning-corpus-and-environment-for-automated-machine-learning-primitive-annotation-and-execution-1808.03753</loc><lastmod>2018-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marvin-an-open-machine-learning-corpus-and-environment-for-automated-machine-learning-primitive-annotation-and-execution-1808.03753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marvin-an-open-machine-learning-corpus-and-environment-for-automated-machine-learning-primitive-annotation-and-execution-1808.03753"/></url>
<url><loc>https://scifaro.com/en/abs/neural-importance-sampling-1808.03856</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-importance-sampling-1808.03856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-importance-sampling-1808.03856"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-with-features-algorithm-and-a-graph-theoretic-analysis-1808.03857</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-with-features-algorithm-and-a-graph-theoretic-analysis-1808.03857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-with-features-algorithm-and-a-graph-theoretic-analysis-1808.03857"/></url>
<url><loc>https://scifaro.com/en/abs/a-consistent-method-for-learning-ooms-from-asymptotically-stationary-time-series-data-containing-missing-values-1808.03873</loc><lastmod>2018-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-consistent-method-for-learning-ooms-from-asymptotically-stationary-time-series-data-containing-missing-values-1808.03873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-consistent-method-for-learning-ooms-from-asymptotically-stationary-time-series-data-containing-missing-values-1808.03873"/></url>
<url><loc>https://scifaro.com/en/abs/parallelization-does-not-accelerate-convex-optimization-adaptivity-lower-bounds-for-non-smooth-convex-minimization-1808.03880</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelization-does-not-accelerate-convex-optimization-adaptivity-lower-bounds-for-non-smooth-convex-minimization-1808.03880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelization-does-not-accelerate-convex-optimization-adaptivity-lower-bounds-for-non-smooth-convex-minimization-1808.03880"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-language-analysis-with-recurrent-multistage-fusion-1808.03920</loc><lastmod>2018-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-language-analysis-with-recurrent-multistage-fusion-1808.03920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-language-analysis-with-recurrent-multistage-fusion-1808.03920"/></url>
<url><loc>https://scifaro.com/en/abs/a-fourier-view-of-reinforce-1808.03953</loc><lastmod>2018-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fourier-view-of-reinforce-1808.03953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fourier-view-of-reinforce-1808.03953"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-learnable-graph-convolutional-networks-1808.03965</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-learnable-graph-convolutional-networks-1808.03965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-learnable-graph-convolutional-networks-1808.03965"/></url>
<url><loc>https://scifaro.com/en/abs/pac-battling-bandits-in-the-plackett-luce-model-1808.04008</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-battling-bandits-in-the-plackett-luce-model-1808.04008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-battling-bandits-in-the-plackett-luce-model-1808.04008"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-time-series-classification-using-all-subsequence-learning-and-symbolic-representations-in-time-and-frequency-domains-1808.04022</loc><lastmod>2018-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-time-series-classification-using-all-subsequence-learning-and-symbolic-representations-in-time-and-frequency-domains-1808.04022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-time-series-classification-using-all-subsequence-learning-and-symbolic-representations-in-time-and-frequency-domains-1808.04022"/></url>
<url><loc>https://scifaro.com/en/abs/directed-policy-gradient-for-safe-reinforcement-learning-with-human-advice-1808.04096</loc><lastmod>2018-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directed-policy-gradient-for-safe-reinforcement-learning-with-human-advice-1808.04096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directed-policy-gradient-for-safe-reinforcement-learning-with-human-advice-1808.04096"/></url>
<url><loc>https://scifaro.com/en/abs/learning-discriminative-hashing-codes-for-cross-modal-retrieval-based-on-multi-view-features-1808.04152</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-discriminative-hashing-codes-for-cross-modal-retrieval-based-on-multi-view-features-1808.04152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-discriminative-hashing-codes-for-cross-modal-retrieval-based-on-multi-view-features-1808.04152"/></url>
<url><loc>https://scifaro.com/en/abs/dfternet-towards-2-bit-dynamic-fusion-networks-for-accurate-human-activity-recognition-1808.04228</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dfternet-towards-2-bit-dynamic-fusion-networks-for-accurate-human-activity-recognition-1808.04228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dfternet-towards-2-bit-dynamic-fusion-networks-for-accurate-human-activity-recognition-1808.04228"/></url>
<url><loc>https://scifaro.com/en/abs/affect-estimation-in-3d-space-using-multi-task-active-learning-for-regression-1808.04244</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/affect-estimation-in-3d-space-using-multi-task-active-learning-for-regression-1808.04244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/affect-estimation-in-3d-space-using-multi-task-active-learning-for-regression-1808.04244"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-regression-using-greedy-sampling-1808.04245</loc><lastmod>2018-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-regression-using-greedy-sampling-1808.04245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-regression-using-greedy-sampling-1808.04245"/></url>
<url><loc>https://scifaro.com/en/abs/model-reduction-with-memory-and-the-machine-learning-of-dynamical-systems-1808.04258</loc><lastmod>2018-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-reduction-with-memory-and-the-machine-learning-of-dynamical-systems-1808.04258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-reduction-with-memory-and-the-machine-learning-of-dynamical-systems-1808.04258"/></url>
<url><loc>https://scifaro.com/en/abs/innvestigate-neural-networks-1808.04260</loc><lastmod>2018-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/innvestigate-neural-networks-1808.04260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/innvestigate-neural-networks-1808.04260"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-heterogeneous-causal-effects-in-the-presence-of-irregular-assignment-mechanisms-1808.04281</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-heterogeneous-causal-effects-in-the-presence-of-irregular-assignment-mechanisms-1808.04281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-heterogeneous-causal-effects-in-the-presence-of-irregular-assignment-mechanisms-1808.04281"/></url>
<url><loc>https://scifaro.com/en/abs/visual-sensor-network-reconfiguration-with-deep-reinforcement-learning-1808.04287</loc><lastmod>2018-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-sensor-network-reconfiguration-with-deep-reinforcement-learning-1808.04287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-sensor-network-reconfiguration-with-deep-reinforcement-learning-1808.04287"/></url>
<url><loc>https://scifaro.com/en/abs/fast-better-training-trick-random-gradient-1808.04293</loc><lastmod>2018-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-better-training-trick-random-gradient-1808.04293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-better-training-trick-random-gradient-1808.04293"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-training-and-generalization-in-deep-learning-by-fourier-analysis-1808.04295</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-training-and-generalization-in-deep-learning-by-fourier-analysis-1808.04295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-training-and-generalization-in-deep-learning-by-fourier-analysis-1808.04295"/></url>
<url><loc>https://scifaro.com/en/abs/simple-root-cause-analysis-by-separable-likelihoods-1808.04302</loc><lastmod>2018-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-root-cause-analysis-by-separable-likelihoods-1808.04302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-root-cause-analysis-by-separable-likelihoods-1808.04302"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-the-unique-nature-of-individual-gait-patterns-with-deep-learning-1808.04308</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-the-unique-nature-of-individual-gait-patterns-with-deep-learning-1808.04308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-the-unique-nature-of-individual-gait-patterns-with-deep-learning-1808.04308"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-study-of-curiosity-driven-learning-1808.04355</loc><lastmod>2018-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-study-of-curiosity-driven-learning-1808.04355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-study-of-curiosity-driven-learning-1808.04355"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-deep-neural-networks-using-both-engineered-and-learned-representations-for-biodegradability-prediction-1808.04456</loc><lastmod>2018-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-deep-neural-networks-using-both-engineered-and-learned-representations-for-biodegradability-prediction-1808.04456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-deep-neural-networks-using-both-engineered-and-learned-representations-for-biodegradability-prediction-1808.04456"/></url>
<url><loc>https://scifaro.com/en/abs/risk-sensitive-generative-adversarial-imitation-learning-1808.04468</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-sensitive-generative-adversarial-imitation-learning-1808.04468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-sensitive-generative-adversarial-imitation-learning-1808.04468"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-sampling-for-convex-regression-1808.04523</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-sampling-for-convex-regression-1808.04523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-sampling-for-convex-regression-1808.04523"/></url>
<url><loc>https://scifaro.com/en/abs/text-to-image-to-text-translation-using-cycle-consistent-adversarial-networks-1808.04538</loc><lastmod>2018-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/text-to-image-to-text-translation-using-cycle-consistent-adversarial-networks-1808.04538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/text-to-image-to-text-translation-using-cycle-consistent-adversarial-networks-1808.04538"/></url>
<url><loc>https://scifaro.com/en/abs/mt-vae-learning-motion-transformations-to-generate-multimodal-human-dynamics-1808.04545</loc><lastmod>2018-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mt-vae-learning-motion-transformations-to-generate-multimodal-human-dynamics-1808.04545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mt-vae-learning-motion-transformations-to-generate-multimodal-human-dynamics-1808.04545"/></url>
<url><loc>https://scifaro.com/en/abs/scisports-learning-football-kinematics-through-two-dimensional-tracking-data-1808.04550</loc><lastmod>2018-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scisports-learning-football-kinematics-through-two-dimensional-tracking-data-1808.04550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scisports-learning-football-kinematics-through-two-dimensional-tracking-data-1808.04550"/></url>
<url><loc>https://scifaro.com/en/abs/small-sample-learning-in-big-data-era-1808.04572</loc><lastmod>2018-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-sample-learning-in-big-data-era-1808.04572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-sample-learning-in-big-data-era-1808.04572"/></url>
<url><loc>https://scifaro.com/en/abs/nfft-meets-krylov-methods-fast-matrix-vector-products-for-the-graph-laplacian-of-fully-connected-networks-1808.04580</loc><lastmod>2018-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nfft-meets-krylov-methods-fast-matrix-vector-products-for-the-graph-laplacian-of-fully-connected-networks-1808.04580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nfft-meets-krylov-methods-fast-matrix-vector-products-for-the-graph-laplacian-of-fully-connected-networks-1808.04580"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-inverse-problems-with-invertible-neural-networks-1808.04730</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-inverse-problems-with-invertible-neural-networks-1808.04730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-inverse-problems-with-invertible-neural-networks-1808.04730"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-methods-and-theories-of-quantized-neural-networks-1808.04752</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-methods-and-theories-of-quantized-neural-networks-1808.04752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-methods-and-theories-of-quantized-neural-networks-1808.04752"/></url>
<url><loc>https://scifaro.com/en/abs/an-overview-and-a-benchmark-of-active-learning-for-outlier-detection-with-one-class-classifiers-1808.04759</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-overview-and-a-benchmark-of-active-learning-for-outlier-detection-with-one-class-classifiers-1808.04759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-overview-and-a-benchmark-of-active-learning-for-outlier-detection-with-one-class-classifiers-1808.04759"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-statistical-and-machine-learning-methods-for-estimation-of-physical-load-1808.04760</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-statistical-and-machine-learning-methods-for-estimation-of-physical-load-1808.04760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-statistical-and-machine-learning-methods-for-estimation-of-physical-load-1808.04760"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-skip-intervals-temporal-abstraction-for-recurrent-dynamical-models-1808.04768</loc><lastmod>2018-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-skip-intervals-temporal-abstraction-for-recurrent-dynamical-models-1808.04768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-skip-intervals-temporal-abstraction-for-recurrent-dynamical-models-1808.04768"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-sybils-in-federated-learning-poisoning-1808.04866</loc><lastmod>2020-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-sybils-in-federated-learning-poisoning-1808.04866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-sybils-in-federated-learning-poisoning-1808.04866"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-of-equilibrium-propagation-to-vector-field-dynamics-1808.04873</loc><lastmod>2018-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-of-equilibrium-propagation-to-vector-field-dynamics-1808.04873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-of-equilibrium-propagation-to-vector-field-dynamics-1808.04873"/></url>
<url><loc>https://scifaro.com/en/abs/multi-user-communication-networks-a-coordinated-multi-armed-bandit-approach-1808.04875</loc><lastmod>2018-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-user-communication-networks-a-coordinated-multi-armed-bandit-approach-1808.04875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-user-communication-networks-a-coordinated-multi-armed-bandit-approach-1808.04875"/></url>
<url><loc>https://scifaro.com/en/abs/deep-ehr-chronic-disease-prediction-using-medical-notes-1808.04928</loc><lastmod>2018-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-ehr-chronic-disease-prediction-using-medical-notes-1808.04928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-ehr-chronic-disease-prediction-using-medical-notes-1808.04928"/></url>
<url><loc>https://scifaro.com/en/abs/shedding-light-on-black-box-machine-learning-algorithms-development-of-an-axiomatic-framework-to-assess-the-quality-of-methods-that-explain-individual-predictions-1808.05054</loc><lastmod>2018-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shedding-light-on-black-box-machine-learning-algorithms-development-of-an-axiomatic-framework-to-assess-the-quality-of-methods-that-explain-individual-predictions-1808.05054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shedding-light-on-black-box-machine-learning-algorithms-development-of-an-axiomatic-framework-to-assess-the-quality-of-methods-that-explain-individual-predictions-1808.05054"/></url>
<url><loc>https://scifaro.com/en/abs/joint-progressive-learning-from-high-dimensional-data-for-multi-label-classification-1808.05110</loc><lastmod>2018-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-progressive-learning-from-high-dimensional-data-for-multi-label-classification-1808.05110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-progressive-learning-from-high-dimensional-data-for-multi-label-classification-1808.05110"/></url>
<url><loc>https://scifaro.com/en/abs/using-regular-languages-to-explore-the-representational-capacity-of-recurrent-neural-architectures-1808.05128</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-regular-languages-to-explore-the-representational-capacity-of-recurrent-neural-architectures-1808.05128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-regular-languages-to-explore-the-representational-capacity-of-recurrent-neural-architectures-1808.05128"/></url>
<url><loc>https://scifaro.com/en/abs/blended-coarse-gradient-descent-for-full-quantization-of-deep-neural-networks-1808.05240</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blended-coarse-gradient-descent-for-full-quantization-of-deep-neural-networks-1808.05240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blended-coarse-gradient-descent-for-full-quantization-of-deep-neural-networks-1808.05240"/></url>
<url><loc>https://scifaro.com/en/abs/deepdownscale-a-deep-learning-strategy-for-high-resolution-weather-forecast-1808.05264</loc><lastmod>2018-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepdownscale-a-deep-learning-strategy-for-high-resolution-weather-forecast-1808.05264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepdownscale-a-deep-learning-strategy-for-high-resolution-weather-forecast-1808.05264"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-behavioral-data-processing-using-deep-learning-and-the-markov-transition-field-in-online-fraud-detection-1808.05329</loc><lastmod>2018-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-behavioral-data-processing-using-deep-learning-and-the-markov-transition-field-in-online-fraud-detection-1808.05329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-behavioral-data-processing-using-deep-learning-and-the-markov-transition-field-in-online-fraud-detection-1808.05329"/></url>
<url><loc>https://scifaro.com/en/abs/active-distribution-learning-from-indirect-samples-1808.05334</loc><lastmod>2018-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-distribution-learning-from-indirect-samples-1808.05334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-distribution-learning-from-indirect-samples-1808.05334"/></url>
<url><loc>https://scifaro.com/en/abs/tool-breakage-detection-using-deep-learning-1808.05347</loc><lastmod>2018-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tool-breakage-detection-using-deep-learning-1808.05347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tool-breakage-detection-using-deep-learning-1808.05347"/></url>
<url><loc>https://scifaro.com/en/abs/conceptual-domain-adaptation-using-deep-learning-1808.05355</loc><lastmod>2018-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conceptual-domain-adaptation-using-deep-learning-1808.05355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conceptual-domain-adaptation-using-deep-learning-1808.05355"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-and-organic-computing-for-autonomous-vehicles-1808.05443</loc><lastmod>2018-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-and-organic-computing-for-autonomous-vehicles-1808.05443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-and-organic-computing-for-autonomous-vehicles-1808.05443"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-brain-computer-interfaces-a-euclidean-space-data-alignment-approach-1808.05464</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-brain-computer-interfaces-a-euclidean-space-data-alignment-approach-1808.05464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-brain-computer-interfaces-a-euclidean-space-data-alignment-approach-1808.05464"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-adversarial-attack-1808.05537</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-adversarial-attack-1808.05537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-adversarial-attack-1808.05537"/></url>
<url><loc>https://scifaro.com/en/abs/learning-invariances-using-the-marginal-likelihood-1808.05563</loc><lastmod>2018-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-invariances-using-the-marginal-likelihood-1808.05563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-invariances-using-the-marginal-likelihood-1808.05563"/></url>
<url><loc>https://scifaro.com/en/abs/larnn-linear-attention-recurrent-neural-network-1808.05578</loc><lastmod>2018-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/larnn-linear-attention-recurrent-neural-network-1808.05578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/larnn-linear-attention-recurrent-neural-network-1808.05578"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-adaptive-gradient-methods-for-nonconvex-optimization-1808.05671</loc><lastmod>2024-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-adaptive-gradient-methods-for-nonconvex-optimization-1808.05671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-adaptive-gradient-methods-for-nonconvex-optimization-1808.05671"/></url>
<url><loc>https://scifaro.com/en/abs/simgnn-a-neural-network-approach-to-fast-graph-similarity-computation-1808.05689</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simgnn-a-neural-network-approach-to-fast-graph-similarity-computation-1808.05689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simgnn-a-neural-network-approach-to-fast-graph-similarity-computation-1808.05689"/></url>
<url><loc>https://scifaro.com/en/abs/data-poisoning-attacks-in-contextual-bandits-1808.05760</loc><lastmod>2018-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-poisoning-attacks-in-contextual-bandits-1808.05760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-poisoning-attacks-in-contextual-bandits-1808.05760"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-aware-short-term-motion-prediction-of-traffic-actors-for-autonomous-driving-1808.05819</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-aware-short-term-motion-prediction-of-traffic-actors-for-autonomous-driving-1808.05819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-aware-short-term-motion-prediction-of-traffic-actors-for-autonomous-driving-1808.05819"/></url>
<url><loc>https://scifaro.com/en/abs/importance-mixing-improving-sample-reuse-in-evolutionary-policy-search-methods-1808.05832</loc><lastmod>2018-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-mixing-improving-sample-reuse-in-evolutionary-policy-search-methods-1808.05832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-mixing-improving-sample-reuse-in-evolutionary-policy-search-methods-1808.05832"/></url>
<url><loc>https://scifaro.com/en/abs/robust-compressive-phase-retrieval-via-deep-generative-priors-1808.05854</loc><lastmod>2018-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-compressive-phase-retrieval-via-deep-generative-priors-1808.05854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-compressive-phase-retrieval-via-deep-generative-priors-1808.05854"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-deep-neural-network-architecture-a-tabu-search-based-approach-1808.05979</loc><lastmod>2020-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-deep-neural-network-architecture-a-tabu-search-based-approach-1808.05979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-deep-neural-network-architecture-a-tabu-search-based-approach-1808.05979"/></url>
<url><loc>https://scifaro.com/en/abs/tangent-normal-adversarial-regularization-for-semi-supervised-learning-1808.06088</loc><lastmod>2019-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tangent-normal-adversarial-regularization-for-semi-supervised-learning-1808.06088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tangent-normal-adversarial-regularization-for-semi-supervised-learning-1808.06088"/></url>
<url><loc>https://scifaro.com/en/abs/exact-passive-aggressive-algorithms-for-learning-to-rank-using-interval-labels-1808.06107</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-passive-aggressive-algorithms-for-learning-to-rank-using-interval-labels-1808.06107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-passive-aggressive-algorithms-for-learning-to-rank-using-interval-labels-1808.06107"/></url>
<url><loc>https://scifaro.com/en/abs/effect-of-secular-trend-in-drug-effectiveness-study-in-real-world-data-1808.06117</loc><lastmod>2018-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effect-of-secular-trend-in-drug-effectiveness-study-in-real-world-data-1808.06117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effect-of-secular-trend-in-drug-effectiveness-study-in-real-world-data-1808.06117"/></url>
<url><loc>https://scifaro.com/en/abs/fourier-analysis-perspective-for-sufficient-dimension-reduction-problem-1808.06191</loc><lastmod>2018-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fourier-analysis-perspective-for-sufficient-dimension-reduction-problem-1808.06191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fourier-analysis-perspective-for-sufficient-dimension-reduction-problem-1808.06191"/></url>
<url><loc>https://scifaro.com/en/abs/tlr-transfer-latent-representation-for-unsupervised-domain-adaptation-1808.06206</loc><lastmod>2018-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tlr-transfer-latent-representation-for-unsupervised-domain-adaptation-1808.06206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tlr-transfer-latent-representation-for-unsupervised-domain-adaptation-1808.06206"/></url>
<url><loc>https://scifaro.com/en/abs/pac-learning-is-undecidable-1808.06324</loc><lastmod>2022-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-learning-is-undecidable-1808.06324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-learning-is-undecidable-1808.06324"/></url>
<url><loc>https://scifaro.com/en/abs/a-distribution-similarity-based-regularizer-for-learning-bayesian-networks-1808.06347</loc><lastmod>2018-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distribution-similarity-based-regularizer-for-learning-bayesian-networks-1808.06347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distribution-similarity-based-regularizer-for-learning-bayesian-networks-1808.06347"/></url>
<url><loc>https://scifaro.com/en/abs/faster-support-vector-machines-1808.06394</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-support-vector-machines-1808.06394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-support-vector-machines-1808.06394"/></url>
<url><loc>https://scifaro.com/en/abs/synthetic-patient-generation-a-deep-learning-approach-using-variational-autoencoders-1808.06444</loc><lastmod>2018-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthetic-patient-generation-a-deep-learning-approach-using-variational-autoencoders-1808.06444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthetic-patient-generation-a-deep-learning-approach-using-variational-autoencoders-1808.06444"/></url>
<url><loc>https://scifaro.com/en/abs/reproducible-evaluation-of-classification-methods-in-alzheimer-s-disease-framework-and-application-to-mri-and-pet-data-1808.06452</loc><lastmod>2019-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reproducible-evaluation-of-classification-methods-in-alzheimer-s-disease-framework-and-application-to-mri-and-pet-data-1808.06452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reproducible-evaluation-of-classification-methods-in-alzheimer-s-disease-framework-and-application-to-mri-and-pet-data-1808.06452"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-automatic-machine-learning-frameworks-1808.06492</loc><lastmod>2018-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-automatic-machine-learning-frameworks-1808.06492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-automatic-machine-learning-frameworks-1808.06492"/></url>
<url><loc>https://scifaro.com/en/abs/life-long-disentangled-representation-learning-with-cross-domain-latent-homologies-1808.06508</loc><lastmod>2018-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/life-long-disentangled-representation-learning-with-cross-domain-latent-homologies-1808.06508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/life-long-disentangled-representation-learning-with-cross-domain-latent-homologies-1808.06508"/></url>
<url><loc>https://scifaro.com/en/abs/triangle-lasso-for-simultaneous-clustering-and-optimization-in-graph-datasets-1808.06556</loc><lastmod>2018-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/triangle-lasso-for-simultaneous-clustering-and-optimization-in-graph-datasets-1808.06556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/triangle-lasso-for-simultaneous-clustering-and-optimization-in-graph-datasets-1808.06556"/></url>
<url><loc>https://scifaro.com/en/abs/a-semi-supervised-and-inductive-embedding-model-for-churn-prediction-of-large-scale-mobile-games-1808.06573</loc><lastmod>2018-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-semi-supervised-and-inductive-embedding-model-for-churn-prediction-of-large-scale-mobile-games-1808.06573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-semi-supervised-and-inductive-embedding-model-for-churn-prediction-of-large-scale-mobile-games-1808.06573"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-combinatorial-ensembles-for-defending-against-adversarial-examples-1808.06645</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-combinatorial-ensembles-for-defending-against-adversarial-examples-1808.06645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-combinatorial-ensembles-for-defending-against-adversarial-examples-1808.06645"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-amplification-by-iteration-1808.06651</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-amplification-by-iteration-1808.06651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-amplification-by-iteration-1808.06651"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-sampling-for-active-learning-1808.06671</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-sampling-for-active-learning-1808.06671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-sampling-for-active-learning-1808.06671"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-exploit-invariances-in-clinical-time-series-data-using-sequence-transformer-networks-1808.06725</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-exploit-invariances-in-clinical-time-series-data-using-sequence-transformer-networks-1808.06725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-exploit-invariances-in-clinical-time-series-data-using-sequence-transformer-networks-1808.06725"/></url>
<url><loc>https://scifaro.com/en/abs/wrapped-loss-function-for-regularizing-nonconforming-residual-distributions-1808.06733</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wrapped-loss-function-for-regularizing-nonconforming-residual-distributions-1808.06733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wrapped-loss-function-for-regularizing-nonconforming-residual-distributions-1808.06733"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-multiple-kernel-machines-for-personalized-pain-recognition-from-functional-near-infrared-spectroscopy-brain-signals-1808.06774</loc><lastmod>2018-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-multiple-kernel-machines-for-personalized-pain-recognition-from-functional-near-infrared-spectroscopy-brain-signals-1808.06774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-multiple-kernel-machines-for-personalized-pain-recognition-from-functional-near-infrared-spectroscopy-brain-signals-1808.06774"/></url>
<url><loc>https://scifaro.com/en/abs/zonnscan-a-boundary-entropy-index-for-zone-inspection-of-neural-models-1808.06797</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zonnscan-a-boundary-entropy-index-for-zone-inspection-of-neural-models-1808.06797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zonnscan-a-boundary-entropy-index-for-zone-inspection-of-neural-models-1808.06797"/></url>
<url><loc>https://scifaro.com/en/abs/are-you-tampering-with-my-data-1808.06809</loc><lastmod>2018-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-you-tampering-with-my-data-1808.06809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-you-tampering-with-my-data-1808.06809"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-spatiotemporal-sequence-forecasting-a-survey-1808.06865</loc><lastmod>2018-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-spatiotemporal-sequence-forecasting-a-survey-1808.06865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-spatiotemporal-sequence-forecasting-a-survey-1808.06865"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-the-union-of-intersections-lasso-uoi-lasso-and-vector-autoregressive-uoi-var-algorithms-for-improved-statistical-estimation-at-scale-1808.06992</loc><lastmod>2018-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-the-union-of-intersections-lasso-uoi-lasso-and-vector-autoregressive-uoi-var-algorithms-for-improved-statistical-estimation-at-scale-1808.06992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-the-union-of-intersections-lasso-uoi-lasso-and-vector-autoregressive-uoi-var-algorithms-for-improved-statistical-estimation-at-scale-1808.06992"/></url>
<url><loc>https://scifaro.com/en/abs/hypernetwork-knowledge-graph-embeddings-1808.07018</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypernetwork-knowledge-graph-embeddings-1808.07018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypernetwork-knowledge-graph-embeddings-1808.07018"/></url>
<url><loc>https://scifaro.com/en/abs/catastrophic-importance-of-catastrophic-forgetting-1808.07049</loc><lastmod>2018-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/catastrophic-importance-of-catastrophic-forgetting-1808.07049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/catastrophic-importance-of-catastrophic-forgetting-1808.07049"/></url>
<url><loc>https://scifaro.com/en/abs/on-deep-neural-networks-for-detecting-heart-disease-1808.07168</loc><lastmod>2018-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-deep-neural-networks-for-detecting-heart-disease-1808.07168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-deep-neural-networks-for-detecting-heart-disease-1808.07168"/></url>
<url><loc>https://scifaro.com/en/abs/fisher-information-and-natural-gradient-learning-of-random-deep-networks-1808.07172</loc><lastmod>2018-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fisher-information-and-natural-gradient-learning-of-random-deep-networks-1808.07172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fisher-information-and-natural-gradient-learning-of-random-deep-networks-1808.07172"/></url>
<url><loc>https://scifaro.com/en/abs/don-t-use-large-mini-batches-use-local-sgd-1808.07217</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/don-t-use-large-mini-batches-use-local-sgd-1808.07217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/don-t-use-large-mini-batches-use-local-sgd-1808.07217"/></url>
<url><loc>https://scifaro.com/en/abs/mean-field-approximation-convex-hierarchies-and-the-optimality-of-correlation-rounding-a-unified-perspective-1808.07226</loc><lastmod>2018-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-field-approximation-convex-hierarchies-and-the-optimality-of-correlation-rounding-a-unified-perspective-1808.07226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-field-approximation-convex-hierarchies-and-the-optimality-of-correlation-rounding-a-unified-perspective-1808.07226"/></url>
<url><loc>https://scifaro.com/en/abs/neural-architecture-optimization-1808.07233</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-architecture-optimization-1808.07233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-architecture-optimization-1808.07233"/></url>
<url><loc>https://scifaro.com/en/abs/controversy-rules-discovering-regions-where-classifiers-dis-agree-exceptionally-1808.07243</loc><lastmod>2018-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controversy-rules-discovering-regions-where-classifiers-dis-agree-exceptionally-1808.07243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controversy-rules-discovering-regions-where-classifiers-dis-agree-exceptionally-1808.07243"/></url>
<url><loc>https://scifaro.com/en/abs/escaping-from-collapsing-modes-in-a-constrained-space-1808.07258</loc><lastmod>2018-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/escaping-from-collapsing-modes-in-a-constrained-space-1808.07258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/escaping-from-collapsing-modes-in-a-constrained-space-1808.07258"/></url>
<url><loc>https://scifaro.com/en/abs/on-an-improvement-of-lasso-by-scaling-1808.07260</loc><lastmod>2018-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-an-improvement-of-lasso-by-scaling-1808.07260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-an-improvement-of-lasso-by-scaling-1808.07260"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-support-exploiting-structure-information-in-support-sets-for-one-shot-learning-1808.07270</loc><lastmod>2018-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-support-exploiting-structure-information-in-support-sets-for-one-shot-learning-1808.07270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-support-exploiting-structure-information-in-support-sets-for-one-shot-learning-1808.07270"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-and-labelling-auction-fraud-data-1808.07288</loc><lastmod>2018-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-and-labelling-auction-fraud-data-1808.07288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-and-labelling-auction-fraud-data-1808.07288"/></url>
<url><loc>https://scifaro.com/en/abs/xai-beyond-classification-interpretable-neural-clustering-1808.07292</loc><lastmod>2022-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xai-beyond-classification-interpretable-neural-clustering-1808.07292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xai-beyond-classification-interpretable-neural-clustering-1808.07292"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-self-attention-computing-attention-over-words-dynamically-for-sentence-embedding-1808.07383</loc><lastmod>2018-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-self-attention-computing-attention-over-words-dynamically-for-sentence-embedding-1808.07383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-self-attention-computing-attention-over-words-dynamically-for-sentence-embedding-1808.07383"/></url>
<url><loc>https://scifaro.com/en/abs/3d-topology-optimization-using-convolutional-neural-networks-1808.07440</loc><lastmod>2018-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/3d-topology-optimization-using-convolutional-neural-networks-1808.07440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/3d-topology-optimization-using-convolutional-neural-networks-1808.07440"/></url>
<url><loc>https://scifaro.com/en/abs/capsule-networks-for-protein-structure-classification-and-prediction-1808.07475</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capsule-networks-for-protein-structure-classification-and-prediction-1808.07475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capsule-networks-for-protein-structure-classification-and-prediction-1808.07475"/></url>
<url><loc>https://scifaro.com/en/abs/cooperative-sgd-a-unified-framework-for-the-design-and-analysis-of-communication-efficient-sgd-algorithms-1808.07576</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cooperative-sgd-a-unified-framework-for-the-design-and-analysis-of-communication-efficient-sgd-algorithms-1808.07576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cooperative-sgd-a-unified-framework-for-the-design-and-analysis-of-communication-efficient-sgd-algorithms-1808.07576"/></url>
<url><loc>https://scifaro.com/en/abs/doping-generative-data-augmentation-for-unsupervised-anomaly-detection-with-gan-1808.07632</loc><lastmod>2018-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doping-generative-data-augmentation-for-unsupervised-anomaly-detection-with-gan-1808.07632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doping-generative-data-augmentation-for-unsupervised-anomaly-detection-with-gan-1808.07632"/></url>
<url><loc>https://scifaro.com/en/abs/diversity-driven-selection-of-exploration-strategies-in-multi-armed-bandits-1808.07739</loc><lastmod>2018-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversity-driven-selection-of-exploration-strategies-in-multi-armed-bandits-1808.07739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversity-driven-selection-of-exploration-strategies-in-multi-armed-bandits-1808.07739"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-importance-sample-in-primary-sample-space-1808.07840</loc><lastmod>2024-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-importance-sample-in-primary-sample-space-1808.07840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-importance-sample-in-primary-sample-space-1808.07840"/></url>
<url><loc>https://scifaro.com/en/abs/lift-reinforcement-learning-in-computer-systems-by-learning-from-demonstrations-1808.07903</loc><lastmod>2018-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lift-reinforcement-learning-in-computer-systems-by-learning-from-demonstrations-1808.07903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lift-reinforcement-learning-in-computer-systems-by-learning-from-demonstrations-1808.07903"/></url>
<url><loc>https://scifaro.com/en/abs/the-importance-of-generation-order-in-language-modeling-1808.07910</loc><lastmod>2018-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-importance-of-generation-order-in-language-modeling-1808.07910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-importance-of-generation-order-in-language-modeling-1808.07910"/></url>
<url><loc>https://scifaro.com/en/abs/maximal-jacobian-based-saliency-map-attack-1808.07945</loc><lastmod>2018-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximal-jacobian-based-saliency-map-attack-1808.07945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximal-jacobian-based-saliency-map-attack-1808.07945"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-extubation-readiness-in-extreme-preterm-infants-based-on-patterns-of-breathing-1808.07991</loc><lastmod>2018-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-extubation-readiness-in-extreme-preterm-infants-based-on-patterns-of-breathing-1808.07991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-extubation-readiness-in-extreme-preterm-infants-based-on-patterns-of-breathing-1808.07991"/></url>
<url><loc>https://scifaro.com/en/abs/undersampling-and-bagging-of-decision-trees-in-the-analysis-of-cardiorespiratory-behavior-for-the-prediction-of-extubation-readiness-in-extremely-preterm-infants-1808.07992</loc><lastmod>2018-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/undersampling-and-bagging-of-decision-trees-in-the-analysis-of-cardiorespiratory-behavior-for-the-prediction-of-extubation-readiness-in-extremely-preterm-infants-1808.07992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/undersampling-and-bagging-of-decision-trees-in-the-analysis-of-cardiorespiratory-behavior-for-the-prediction-of-extubation-readiness-in-extremely-preterm-infants-1808.07992"/></url>
<url><loc>https://scifaro.com/en/abs/self-paced-multi-task-clustering-1808.08068</loc><lastmod>2018-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-paced-multi-task-clustering-1808.08068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-paced-multi-task-clustering-1808.08068"/></url>
<url><loc>https://scifaro.com/en/abs/multi-scenario-deep-learning-for-multi-speaker-source-separation-1808.08095</loc><lastmod>2018-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-scenario-deep-learning-for-multi-speaker-source-separation-1808.08095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-scenario-deep-learning-for-multi-speaker-source-separation-1808.08095"/></url>
<url><loc>https://scifaro.com/en/abs/memory-time-span-in-lstms-for-multi-speaker-source-separation-1808.08097</loc><lastmod>2018-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-time-span-in-lstms-for-multi-speaker-source-separation-1808.08097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-time-span-in-lstms-for-multi-speaker-source-separation-1808.08097"/></url>
<url><loc>https://scifaro.com/en/abs/multiclass-universum-svm-1808.08111</loc><lastmod>2018-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiclass-universum-svm-1808.08111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiclass-universum-svm-1808.08111"/></url>
<url><loc>https://scifaro.com/en/abs/an-improvement-of-data-classification-using-random-multimodel-deep-learning-rmdl-1808.08121</loc><lastmod>2018-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improvement-of-data-classification-using-random-multimodel-deep-learning-rmdl-1808.08121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improvement-of-data-classification-using-random-multimodel-deep-learning-rmdl-1808.08121"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-of-rich-subgroup-fairness-for-machine-learning-1808.08166</loc><lastmod>2018-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-of-rich-subgroup-fairness-for-machine-learning-1808.08166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-of-rich-subgroup-fairness-for-machine-learning-1808.08166"/></url>
<url><loc>https://scifaro.com/en/abs/got-wave-temporal-network-alignment-using-graphlet-orbit-transitions-1808.08195</loc><lastmod>2018-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/got-wave-temporal-network-alignment-using-graphlet-orbit-transitions-1808.08195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/got-wave-temporal-network-alignment-using-graphlet-orbit-transitions-1808.08195"/></url>
<url><loc>https://scifaro.com/en/abs/robust-text-classifier-on-test-time-budgets-1808.08270</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-text-classifier-on-test-time-budgets-1808.08270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-text-classifier-on-test-time-budgets-1808.08270"/></url>
<url><loc>https://scifaro.com/en/abs/an-elementary-introduction-to-information-geometry-1808.08271</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-elementary-introduction-to-information-geometry-1808.08271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-elementary-introduction-to-information-geometry-1808.08271"/></url>
<url><loc>https://scifaro.com/en/abs/unknown-examples-machine-learning-model-generalization-1808.08294</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unknown-examples-machine-learning-model-generalization-1808.08294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unknown-examples-machine-learning-model-generalization-1808.08294"/></url>
<url><loc>https://scifaro.com/en/abs/a-deterministic-self-organizing-map-approach-and-its-application-on-satellite-data-based-cloud-type-classification-1808.08315</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deterministic-self-organizing-map-approach-and-its-application-on-satellite-data-based-cloud-type-classification-1808.08315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deterministic-self-organizing-map-approach-and-its-application-on-satellite-data-based-cloud-type-classification-1808.08315"/></url>
<url><loc>https://scifaro.com/en/abs/data-dependent-learning-of-symmetric-antisymmetric-relations-for-knowledge-base-completion-1808.08361</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-dependent-learning-of-symmetric-antisymmetric-relations-for-knowledge-base-completion-1808.08361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-dependent-learning-of-symmetric-antisymmetric-relations-for-knowledge-base-completion-1808.08361"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-hypergraph-feature-selection-via-a-novel-point-weighting-framework-and-low-rank-representation-1808.08414</loc><lastmod>2018-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-hypergraph-feature-selection-via-a-novel-point-weighting-framework-and-low-rank-representation-1808.08414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-hypergraph-feature-selection-via-a-novel-point-weighting-framework-and-low-rank-representation-1808.08414"/></url>
<url><loc>https://scifaro.com/en/abs/multiplayer-bandits-without-observing-collision-information-1808.08416</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiplayer-bandits-without-observing-collision-information-1808.08416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiplayer-bandits-without-observing-collision-information-1808.08416"/></url>
<url><loc>https://scifaro.com/en/abs/the-social-cost-of-strategic-classification-1808.08460</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-social-cost-of-strategic-classification-1808.08460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-social-cost-of-strategic-classification-1808.08460"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-regularising-neural-nli-models-to-integrate-logical-background-knowledge-1808.08609</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-regularising-neural-nli-models-to-integrate-logical-background-knowledge-1808.08609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-regularising-neural-nli-models-to-integrate-logical-background-knowledge-1808.08609"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-learning-applied-to-classify-gps-trajectories-of-birds-into-male-or-female-1808.08613</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-learning-applied-to-classify-gps-trajectories-of-birds-into-male-or-female-1808.08613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-learning-applied-to-classify-gps-trajectories-of-birds-into-male-or-female-1808.08613"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-computational-aspects-1808.08618</loc><lastmod>2019-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-computational-aspects-1808.08618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-computational-aspects-1808.08618"/></url>
<url><loc>https://scifaro.com/en/abs/avoiding-disparity-amplification-under-different-worldviews-1808.08619</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avoiding-disparity-amplification-under-different-worldviews-1808.08619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avoiding-disparity-amplification-under-different-worldviews-1808.08619"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-outliers-in-data-with-correlated-measures-1808.08640</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-outliers-in-data-with-correlated-measures-1808.08640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-outliers-in-data-with-correlated-measures-1808.08640"/></url>
<url><loc>https://scifaro.com/en/abs/the-disparate-effects-of-strategic-manipulation-1808.08646</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-disparate-effects-of-strategic-manipulation-1808.08646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-disparate-effects-of-strategic-manipulation-1808.08646"/></url>
<url><loc>https://scifaro.com/en/abs/predefined-sparseness-in-recurrent-sequence-models-1808.08720</loc><lastmod>2022-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predefined-sparseness-in-recurrent-sequence-models-1808.08720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predefined-sparseness-in-recurrent-sequence-models-1808.08720"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-positive-and-unlabeled-data-under-the-selected-at-random-assumption-1808.08755</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-positive-and-unlabeled-data-under-the-selected-at-random-assumption-1808.08755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-positive-and-unlabeled-data-under-the-selected-at-random-assumption-1808.08755"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-optimistic-policy-iteration-for-stochastic-shortest-path-problem-1808.08763</loc><lastmod>2018-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-optimistic-policy-iteration-for-stochastic-shortest-path-problem-1808.08763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-optimistic-policy-iteration-for-stochastic-shortest-path-problem-1808.08763"/></url>
<url><loc>https://scifaro.com/en/abs/learning-behavioral-context-recognition-with-multi-stream-temporal-convolutional-networks-1808.08766</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-behavioral-context-recognition-with-multi-stream-temporal-convolutional-networks-1808.08766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-behavioral-context-recognition-with-multi-stream-temporal-convolutional-networks-1808.08766"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multilingual-word-embeddings-in-latent-metric-space-a-geometric-approach-1808.08773</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multilingual-word-embeddings-in-latent-metric-space-a-geometric-approach-1808.08773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multilingual-word-embeddings-in-latent-metric-space-a-geometric-approach-1808.08773"/></url>
<url><loc>https://scifaro.com/en/abs/sparsity-in-deep-neural-networks-an-empirical-investigation-with-tensorquant-1808.08784</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsity-in-deep-neural-networks-an-empirical-investigation-with-tensorquant-1808.08784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsity-in-deep-neural-networks-an-empirical-investigation-with-tensorquant-1808.08784"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-training-of-slow-feature-analysis-by-differentiable-approximate-whitening-1808.08833</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-training-of-slow-feature-analysis-by-differentiable-approximate-whitening-1808.08833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-training-of-slow-feature-analysis-by-differentiable-approximate-whitening-1808.08833"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-reinforcement-learning-for-neural-machine-translation-1808.08866</loc><lastmod>2018-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-reinforcement-learning-for-neural-machine-translation-1808.08866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-reinforcement-learning-for-neural-machine-translation-1808.08866"/></url>
<url><loc>https://scifaro.com/en/abs/b-eziergan-automatic-generation-of-smooth-curves-from-interpretable-low-dimensional-parameters-1808.08871</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/b-eziergan-automatic-generation-of-smooth-curves-from-interpretable-low-dimensional-parameters-1808.08871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/b-eziergan-automatic-generation-of-smooth-curves-from-interpretable-low-dimensional-parameters-1808.08871"/></url>
<url><loc>https://scifaro.com/en/abs/stress-field-prediction-in-cantilevered-structures-using-convolutional-neural-networks-1808.08914</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stress-field-prediction-in-cantilevered-structures-using-convolutional-neural-networks-1808.08914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stress-field-prediction-in-cantilevered-structures-using-convolutional-neural-networks-1808.08914"/></url>
<url><loc>https://scifaro.com/en/abs/water-disaggregation-via-shape-features-based-bayesian-discriminative-sparse-coding-1808.08951</loc><lastmod>2018-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/water-disaggregation-via-shape-features-based-bayesian-discriminative-sparse-coding-1808.08951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/water-disaggregation-via-shape-features-based-bayesian-discriminative-sparse-coding-1808.08951"/></url>
<url><loc>https://scifaro.com/en/abs/data-poisoning-attacks-against-online-learning-1808.08994</loc><lastmod>2018-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-poisoning-attacks-against-online-learning-1808.08994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-poisoning-attacks-against-online-learning-1808.08994"/></url>
<url><loc>https://scifaro.com/en/abs/importance-weighting-and-variational-inference-1808.09034</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-weighting-and-variational-inference-1808.09034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-weighting-and-variational-inference-1808.09034"/></url>
<url><loc>https://scifaro.com/en/abs/solar-deep-structured-representations-for-model-based-reinforcement-learning-1808.09105</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solar-deep-structured-representations-for-model-based-reinforcement-learning-1808.09105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solar-deep-structured-representations-for-model-based-reinforcement-learning-1808.09105"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-human-machine-complementarity-for-recidivism-predictions-1808.09123</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-human-machine-complementarity-for-recidivism-predictions-1808.09123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-human-machine-complementarity-for-recidivism-predictions-1808.09123"/></url>
<url><loc>https://scifaro.com/en/abs/joint-domain-alignment-and-discriminative-feature-learning-for-unsupervised-deep-domain-adaptation-1808.09347</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-domain-alignment-and-discriminative-feature-learning-for-unsupervised-deep-domain-adaptation-1808.09347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-domain-alignment-and-discriminative-feature-learning-for-unsupervised-deep-domain-adaptation-1808.09347"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-factorization-equals-efficient-co-occurrence-representation-1808.09371</loc><lastmod>2018-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-factorization-equals-efficient-co-occurrence-representation-1808.09371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-factorization-equals-efficient-co-occurrence-representation-1808.09371"/></url>
<url><loc>https://scifaro.com/en/abs/concentrated-differentially-private-gradient-descent-with-adaptive-per-iteration-privacy-budget-1808.09501</loc><lastmod>2018-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concentrated-differentially-private-gradient-descent-with-adaptive-per-iteration-privacy-budget-1808.09501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concentrated-differentially-private-gradient-descent-with-adaptive-per-iteration-privacy-budget-1808.09501"/></url>
<url><loc>https://scifaro.com/en/abs/extracting-epistatic-interactions-in-type-2-diabetes-genome-wide-data-using-stacked-autoencoder-1808.09517</loc><lastmod>2018-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extracting-epistatic-interactions-in-type-2-diabetes-genome-wide-data-using-stacked-autoencoder-1808.09517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extracting-epistatic-interactions-in-type-2-diabetes-genome-wide-data-using-stacked-autoencoder-1808.09517"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitz-regularized-deep-neural-networks-generalize-and-are-adversarially-robust-1808.09540</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitz-regularized-deep-neural-networks-generalize-and-are-adversarially-robust-1808.09540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitz-regularized-deep-neural-networks-generalize-and-are-adversarially-robust-1808.09540"/></url>
<url><loc>https://scifaro.com/en/abs/elastic-bands-across-the-path-a-new-framework-and-methods-to-lower-bound-dtw-1808.09617</loc><lastmod>2019-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elastic-bands-across-the-path-a-new-framework-and-methods-to-lower-bound-dtw-1808.09617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elastic-bands-across-the-path-a-new-framework-and-methods-to-lower-bound-dtw-1808.09617"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-boosting-aggregating-weak-learners-to-minimize-non-differentiable-losses-1808.09670</loc><lastmod>2022-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-boosting-aggregating-weak-learners-to-minimize-non-differentiable-losses-1808.09670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-boosting-aggregating-weak-learners-to-minimize-non-differentiable-losses-1808.09670"/></url>
<url><loc>https://scifaro.com/en/abs/correlated-time-series-forecasting-using-deep-neural-networks-a-summary-of-results-1808.09794</loc><lastmod>2018-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlated-time-series-forecasting-using-deep-neural-networks-a-summary-of-results-1808.09794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlated-time-series-forecasting-using-deep-neural-networks-a-summary-of-results-1808.09794"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-exploration-through-state-abstraction-1808.09819</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-exploration-through-state-abstraction-1808.09819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-exploration-through-state-abstraction-1808.09819"/></url>
<url><loc>https://scifaro.com/en/abs/searching-toward-pareto-optimal-device-aware-neural-architectures-1808.09830</loc><lastmod>2018-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/searching-toward-pareto-optimal-device-aware-neural-architectures-1808.09830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/searching-toward-pareto-optimal-device-aware-neural-architectures-1808.09830"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-with-tabu-strategy-for-regularizing-deep-neural-networks-1808.09907</loc><lastmod>2018-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-with-tabu-strategy-for-regularizing-deep-neural-networks-1808.09907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-with-tabu-strategy-for-regularizing-deep-neural-networks-1808.09907"/></url>
<url><loc>https://scifaro.com/en/abs/attention-based-neural-text-segmentation-1808.09935</loc><lastmod>2018-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-based-neural-text-segmentation-1808.09935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-based-neural-text-segmentation-1808.09935"/></url>
<url><loc>https://scifaro.com/en/abs/semi-metrification-of-the-dynamic-time-warping-distance-1808.09964</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-metrification-of-the-dynamic-time-warping-distance-1808.09964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-metrification-of-the-dynamic-time-warping-distance-1808.09964"/></url>
<url><loc>https://scifaro.com/en/abs/the-implicit-fairness-criterion-of-unconstrained-learning-1808.10013</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-implicit-fairness-criterion-of-unconstrained-learning-1808.10013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-implicit-fairness-criterion-of-unconstrained-learning-1808.10013"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-linear-convergence-of-unfolded-ista-and-its-practical-weights-and-thresholds-1808.10038</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-linear-convergence-of-unfolded-ista-and-its-practical-weights-and-thresholds-1808.10038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-linear-convergence-of-unfolded-ista-and-its-practical-weights-and-thresholds-1808.10038"/></url>
<url><loc>https://scifaro.com/en/abs/rational-neural-networks-for-approximating-jump-discontinuities-of-graph-convolution-operator-1808.10073</loc><lastmod>2020-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rational-neural-networks-for-approximating-jump-discontinuities-of-graph-convolution-operator-1808.10073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rational-neural-networks-for-approximating-jump-discontinuities-of-graph-convolution-operator-1808.10073"/></url>
<url><loc>https://scifaro.com/en/abs/dp-admm-admm-based-distributed-learning-with-differential-privacy-1808.10101</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dp-admm-admm-based-distributed-learning-with-differential-privacy-1808.10101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dp-admm-admm-based-distributed-learning-with-differential-privacy-1808.10101"/></url>
<url><loc>https://scifaro.com/en/abs/a-coordinate-free-construction-of-scalable-natural-gradient-1808.10340</loc><lastmod>2018-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-coordinate-free-construction-of-scalable-natural-gradient-1808.10340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-coordinate-free-construction-of-scalable-natural-gradient-1808.10340"/></url>
<url><loc>https://scifaro.com/en/abs/iea-inner-ensemble-average-within-a-convolutional-neural-network-1808.10350</loc><lastmod>2019-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iea-inner-ensemble-average-within-a-convolutional-neural-network-1808.10350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iea-inner-ensemble-average-within-a-convolutional-neural-network-1808.10350"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-mixture-generative-adversarial-networks-for-diverse-datasets-and-the-unsupervised-clustering-of-images-1808.10356</loc><lastmod>2018-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-mixture-generative-adversarial-networks-for-diverse-datasets-and-the-unsupervised-clustering-of-images-1808.10356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-mixture-generative-adversarial-networks-for-diverse-datasets-and-the-unsupervised-clustering-of-images-1808.10356"/></url>
<url><loc>https://scifaro.com/en/abs/learning-end-to-end-autonomous-driving-using-guided-auxiliary-supervision-1808.10393</loc><lastmod>2018-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-end-to-end-autonomous-driving-using-guided-auxiliary-supervision-1808.10393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-end-to-end-autonomous-driving-using-guided-auxiliary-supervision-1808.10393"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-analysis-of-stochastic-momentum-methods-for-deep-learning-1808.10396</loc><lastmod>2018-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-analysis-of-stochastic-momentum-methods-for-deep-learning-1808.10396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-analysis-of-stochastic-momentum-methods-for-deep-learning-1808.10396"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-classification-datasets-a-study-of-meta-features-for-meta-learning-1808.10406</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-classification-datasets-a-study-of-meta-features-for-meta-learning-1808.10406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-classification-datasets-a-study-of-meta-features-for-meta-learning-1808.10406"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-self-play-reinforcement-learning-to-a-four-player-game-of-imperfect-information-1808.10442</loc><lastmod>2018-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-self-play-reinforcement-learning-to-a-four-player-game-of-imperfect-information-1808.10442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-self-play-reinforcement-learning-to-a-four-player-game-of-imperfect-information-1808.10442"/></url>
<url><loc>https://scifaro.com/en/abs/a-self-attention-network-for-hierarchical-data-structures-with-an-application-to-claims-management-1808.10543</loc><lastmod>2018-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-self-attention-network-for-hierarchical-data-structures-with-an-application-to-claims-management-1808.10543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-self-attention-network-for-hierarchical-data-structures-with-an-application-to-claims-management-1808.10543"/></url>
<url><loc>https://scifaro.com/en/abs/fair-algorithms-for-learning-in-allocation-problems-1808.10549</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-algorithms-for-learning-in-allocation-problems-1808.10549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-algorithms-for-learning-in-allocation-problems-1808.10549"/></url>
<url><loc>https://scifaro.com/en/abs/directed-exploration-in-pac-model-free-reinforcement-learning-1808.10552</loc><lastmod>2018-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directed-exploration-in-pac-model-free-reinforcement-learning-1808.10552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directed-exploration-in-pac-model-free-reinforcement-learning-1808.10552"/></url>
<url><loc>https://scifaro.com/en/abs/proximity-forest-an-effective-and-scalable-distance-based-classifier-for-time-series-1808.10594</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximity-forest-an-effective-and-scalable-distance-based-classifier-for-time-series-1808.10594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximity-forest-an-effective-and-scalable-distance-based-classifier-for-time-series-1808.10594"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-extension-of-generalized-low-rank-approximation-of-matrices-based-on-multiple-pairs-of-transformations-1808.10632</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-extension-of-generalized-low-rank-approximation-of-matrices-based-on-multiple-pairs-of-transformations-1808.10632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-extension-of-generalized-low-rank-approximation-of-matrices-based-on-multiple-pairs-of-transformations-1808.10632"/></url>
<url><loc>https://scifaro.com/en/abs/adaptation-and-robust-learning-of-probabilistic-movement-primitives-1808.10648</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptation-and-robust-learning-of-probabilistic-movement-primitives-1808.10648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptation-and-robust-learning-of-probabilistic-movement-primitives-1808.10648"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-layer-gaussian-process-for-motor-symptom-estimation-in-people-with-parkinson-s-disease-1808.10663</loc><lastmod>2018-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-layer-gaussian-process-for-motor-symptom-estimation-in-people-with-parkinson-s-disease-1808.10663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-layer-gaussian-process-for-motor-symptom-estimation-in-people-with-parkinson-s-disease-1808.10663"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-graph-based-model-for-hybrid-recommendations-in-cold-start-scenarios-1808.10664</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-graph-based-model-for-hybrid-recommendations-in-cold-start-scenarios-1808.10664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-graph-based-model-for-hybrid-recommendations-in-cold-start-scenarios-1808.10664"/></url>
<url><loc>https://scifaro.com/en/abs/apes-a-python-toolbox-for-simulating-reinforcement-learning-environments-1808.10692</loc><lastmod>2018-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/apes-a-python-toolbox-for-simulating-reinforcement-learning-environments-1808.10692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/apes-a-python-toolbox-for-simulating-reinforcement-learning-environments-1808.10692"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-classifier-for-route-prediction-with-markov-chains-1808.10705</loc><lastmod>2018-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-classifier-for-route-prediction-with-markov-chains-1808.10705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-classifier-for-route-prediction-with-markov-chains-1808.10705"/></url>
<url><loc>https://scifaro.com/en/abs/learning-data-adaptive-nonparametric-kernels-1808.10724</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-data-adaptive-nonparametric-kernels-1808.10724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-data-adaptive-nonparametric-kernels-1808.10724"/></url>
<url><loc>https://scifaro.com/en/abs/open-source-dataset-and-machine-learning-techniques-for-automatic-recognition-of-historical-graffiti-1808.10862</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-source-dataset-and-machine-learning-techniques-for-automatic-recognition-of-historical-graffiti-1808.10862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-source-dataset-and-machine-learning-techniques-for-automatic-recognition-of-historical-graffiti-1808.10862"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-embedding-a-supervised-framework-for-human-behavioral-data-mining-and-prediction-1808.10867</loc><lastmod>2018-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-embedding-a-supervised-framework-for-human-behavioral-data-mining-and-prediction-1808.10867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-embedding-a-supervised-framework-for-human-behavioral-data-mining-and-prediction-1808.10867"/></url>
<url><loc>https://scifaro.com/en/abs/muldef-multi-model-based-defense-against-adversarial-examples-for-neural-networks-1809.00065</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/muldef-multi-model-based-defense-against-adversarial-examples-for-neural-networks-1809.00065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/muldef-multi-model-based-defense-against-adversarial-examples-for-neural-networks-1809.00065"/></url>
<url><loc>https://scifaro.com/en/abs/attentive-crowd-flow-machines-1809.00101</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attentive-crowd-flow-machines-1809.00101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attentive-crowd-flow-machines-1809.00101"/></url>
<url><loc>https://scifaro.com/en/abs/effective-exploration-for-deep-reinforcement-learning-via-bootstrapped-q-ensembles-under-tsallis-entropy-regularization-1809.00403</loc><lastmod>2018-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-exploration-for-deep-reinforcement-learning-via-bootstrapped-q-ensembles-under-tsallis-entropy-regularization-1809.00403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-exploration-for-deep-reinforcement-learning-via-bootstrapped-q-ensembles-under-tsallis-entropy-regularization-1809.00403"/></url>
<url><loc>https://scifaro.com/en/abs/flatland-a-lightweight-first-person-2-d-environment-for-reinforcement-learning-1809.00510</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flatland-a-lightweight-first-person-2-d-environment-for-reinforcement-learning-1809.00510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flatland-a-lightweight-first-person-2-d-environment-for-reinforcement-learning-1809.00510"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-predicting-thermal-power-consumption-of-the-mars-express-spacecraft-1809.00542</loc><lastmod>2019-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-predicting-thermal-power-consumption-of-the-mars-express-spacecraft-1809.00542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-predicting-thermal-power-consumption-of-the-mars-express-spacecraft-1809.00542"/></url>
<url><loc>https://scifaro.com/en/abs/iou-is-not-submodular-1809.00593</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iou-is-not-submodular-1809.00593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iou-is-not-submodular-1809.00593"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attack-type-i-cheat-classifiers-by-significant-changes-1809.00594</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attack-type-i-cheat-classifiers-by-significant-changes-1809.00594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attack-type-i-cheat-classifiers-by-significant-changes-1809.00594"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-multimodal-emotion-and-gender-recognition-with-dynamic-joint-loss-weights-1809.00758</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-multimodal-emotion-and-gender-recognition-with-dynamic-joint-loss-weights-1809.00758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-multimodal-emotion-and-gender-recognition-with-dynamic-joint-loss-weights-1809.00758"/></url>
<url><loc>https://scifaro.com/en/abs/transferring-deep-reinforcement-learning-with-adversarial-objective-and-augmentation-1809.00770</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferring-deep-reinforcement-learning-with-adversarial-objective-and-augmentation-1809.00770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferring-deep-reinforcement-learning-with-adversarial-objective-and-augmentation-1809.00770"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-spatiotemporal-prediction-framework-for-mobile-crowdsourced-services-1809.00811</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-spatiotemporal-prediction-framework-for-mobile-crowdsourced-services-1809.00811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-spatiotemporal-prediction-framework-for-mobile-crowdsourced-services-1809.00811"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-expressiveness-of-deep-learning-frameworks-with-recursion-1809.00832</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-expressiveness-of-deep-learning-frameworks-with-recursion-1809.00832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-expressiveness-of-deep-learning-frameworks-with-recursion-1809.00832"/></url>
<url><loc>https://scifaro.com/en/abs/a-recurrent-neural-network-for-sentiment-quantification-1809.00836</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-recurrent-neural-network-for-sentiment-quantification-1809.00836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-recurrent-neural-network-for-sentiment-quantification-1809.00836"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-regularization-in-batch-normalization-1809.00846</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-regularization-in-batch-normalization-1809.00846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-regularization-in-batch-normalization-1809.00846"/></url>
<url><loc>https://scifaro.com/en/abs/multi-target-unsupervised-domain-adaptation-without-exactly-shared-categories-1809.00852</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-target-unsupervised-domain-adaptation-without-exactly-shared-categories-1809.00852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-target-unsupervised-domain-adaptation-without-exactly-shared-categories-1809.00852"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-transfer-extreme-learning-machine-based-on-projective-model-1809.01018</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-transfer-extreme-learning-machine-based-on-projective-model-1809.01018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-transfer-extreme-learning-machine-based-on-projective-model-1809.01018"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-network-aided-approach-for-ldpc-coded-dco-ofdm-with-clipping-distortion-1809.01022</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-network-aided-approach-for-ldpc-coded-dco-ofdm-with-clipping-distortion-1809.01022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-network-aided-approach-for-ldpc-coded-dco-ofdm-with-clipping-distortion-1809.01022"/></url>
<url><loc>https://scifaro.com/en/abs/chi-square-test-neural-network-a-new-binary-classifier-based-on-backpropagation-neural-network-1809.01079</loc><lastmod>2018-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chi-square-test-neural-network-a-new-binary-classifier-based-on-backpropagation-neural-network-1809.01079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chi-square-test-neural-network-a-new-binary-classifier-based-on-backpropagation-neural-network-1809.01079"/></url>
<url><loc>https://scifaro.com/en/abs/graph-convolutional-neural-networks-based-on-quantum-vertex-saliency-1809.01090</loc><lastmod>2023-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-convolutional-neural-networks-based-on-quantum-vertex-saliency-1809.01090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-convolutional-neural-networks-based-on-quantum-vertex-saliency-1809.01090"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-on-node-embeddings-via-graph-poisoning-1809.01093</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-on-node-embeddings-via-graph-poisoning-1809.01093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-on-node-embeddings-via-graph-poisoning-1809.01093"/></url>
<url><loc>https://scifaro.com/en/abs/deeppink-reproducible-feature-selection-in-deep-neural-networks-1809.01185</loc><lastmod>2018-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeppink-reproducible-feature-selection-in-deep-neural-networks-1809.01185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeppink-reproducible-feature-selection-in-deep-neural-networks-1809.01185"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-stochastic-average-gradient-for-machine-learning-and-related-applications-1809.01225</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-stochastic-average-gradient-for-machine-learning-and-related-applications-1809.01225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-stochastic-average-gradient-for-machine-learning-and-related-applications-1809.01225"/></url>
<url><loc>https://scifaro.com/en/abs/t-exponential-memory-networks-for-question-answering-machines-1809.01229</loc><lastmod>2018-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/t-exponential-memory-networks-for-question-answering-machines-1809.01229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/t-exponential-memory-networks-for-question-answering-machines-1809.01229"/></url>
<url><loc>https://scifaro.com/en/abs/learning-user-preferences-and-understanding-calendar-contexts-for-event-scheduling-1809.01316</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-user-preferences-and-understanding-calendar-contexts-for-event-scheduling-1809.01316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-user-preferences-and-understanding-calendar-contexts-for-event-scheduling-1809.01316"/></url>
<url><loc>https://scifaro.com/en/abs/ika-independent-kernel-approximator-1809.01353</loc><lastmod>2018-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ika-independent-kernel-approximator-1809.01353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ika-independent-kernel-approximator-1809.01353"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-learning-for-code-education-rubric-sampling-with-deep-learning-inference-1809.01357</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-learning-for-code-education-rubric-sampling-with-deep-learning-inference-1809.01357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-learning-for-code-education-rubric-sampling-with-deep-learning-inference-1809.01357"/></url>
<url><loc>https://scifaro.com/en/abs/towards-quantitative-methods-to-assess-network-generative-models-1809.01369</loc><lastmod>2018-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-quantitative-methods-to-assess-network-generative-models-1809.01369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-quantitative-methods-to-assess-network-generative-models-1809.01369"/></url>
<url><loc>https://scifaro.com/en/abs/stellar-cluster-detection-using-gmm-with-deep-variational-autoencoder-1809.01434</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stellar-cluster-detection-using-gmm-with-deep-variational-autoencoder-1809.01434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stellar-cluster-detection-using-gmm-with-deep-variational-autoencoder-1809.01434"/></url>
<url><loc>https://scifaro.com/en/abs/vlstm-very-long-short-term-memory-networks-for-high-frequency-trading-1809.01506</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vlstm-very-long-short-term-memory-networks-for-high-frequency-trading-1809.01506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vlstm-very-long-short-term-memory-networks-for-high-frequency-trading-1809.01506"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-under-threats-1809.01560</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-under-threats-1809.01560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-under-threats-1809.01560"/></url>
<url><loc>https://scifaro.com/en/abs/traffic-density-estimation-using-a-convolutional-neural-network-1809.01564</loc><lastmod>2018-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/traffic-density-estimation-using-a-convolutional-neural-network-1809.01564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/traffic-density-estimation-using-a-convolutional-neural-network-1809.01564"/></url>
<url><loc>https://scifaro.com/en/abs/merging-datasets-through-deep-learning-1809.01604</loc><lastmod>2018-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/merging-datasets-through-deep-learning-1809.01604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/merging-datasets-through-deep-learning-1809.01604"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-in-the-presence-of-missing-values-1809.01605</loc><lastmod>2018-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-in-the-presence-of-missing-values-1809.01605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-in-the-presence-of-missing-values-1809.01605"/></url>
<url><loc>https://scifaro.com/en/abs/online-local-pool-generation-for-dynamic-classifier-selection-an-extended-version-1809.01628</loc><lastmod>2018-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-local-pool-generation-for-dynamic-classifier-selection-an-extended-version-1809.01628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-local-pool-generation-for-dynamic-classifier-selection-an-extended-version-1809.01628"/></url>
<url><loc>https://scifaro.com/en/abs/coverage-based-designs-improve-sample-mining-and-hyper-parameter-optimization-1809.01712</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coverage-based-designs-improve-sample-mining-and-hyper-parameter-optimization-1809.01712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coverage-based-designs-improve-sample-mining-and-hyper-parameter-optimization-1809.01712"/></url>
<url><loc>https://scifaro.com/en/abs/geometry-of-deep-learning-for-magnetic-resonance-fingerprinting-1809.01749</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometry-of-deep-learning-for-magnetic-resonance-fingerprinting-1809.01749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometry-of-deep-learning-for-magnetic-resonance-fingerprinting-1809.01749"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-factorization-autoencoder-with-network-constraints-for-multi-omic-integrative-analysis-1809.01772</loc><lastmod>2018-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-factorization-autoencoder-with-network-constraints-for-multi-omic-integrative-analysis-1809.01772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-factorization-autoencoder-with-network-constraints-for-multi-omic-integrative-analysis-1809.01772"/></url>
<url><loc>https://scifaro.com/en/abs/deep-recurrent-electricity-theft-detection-in-ami-networks-with-random-tuning-of-hyper-parameters-1809.01774</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-recurrent-electricity-theft-detection-in-ami-networks-with-random-tuning-of-hyper-parameters-1809.01774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-recurrent-electricity-theft-detection-in-ami-networks-with-random-tuning-of-hyper-parameters-1809.01774"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-influential-factors-in-variational-autoencoders-1809.01804</loc><lastmod>2025-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-influential-factors-in-variational-autoencoders-1809.01804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-influential-factors-in-variational-autoencoders-1809.01804"/></url>
<url><loc>https://scifaro.com/en/abs/improving-explorability-in-variational-inference-with-annealed-variational-objectives-1809.01818</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-explorability-in-variational-inference-with-annealed-variational-objectives-1809.01818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-explorability-in-variational-inference-with-annealed-variational-objectives-1809.01818"/></url>
<url><loc>https://scifaro.com/en/abs/masa-motif-aware-state-assignment-in-noisy-time-series-data-1809.01819</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/masa-motif-aware-state-assignment-in-noisy-time-series-data-1809.01819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/masa-motif-aware-state-assignment-in-noisy-time-series-data-1809.01819"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-reprogramming-of-text-classification-neural-networks-1809.01829</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-reprogramming-of-text-classification-neural-networks-1809.01829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-reprogramming-of-text-classification-neural-networks-1809.01829"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-combine-tree-search-methods-in-reinforcement-learning-1809.01843</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-combine-tree-search-methods-in-reinforcement-learning-1809.01843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-combine-tree-search-methods-in-reinforcement-learning-1809.01843"/></url>
<url><loc>https://scifaro.com/en/abs/yes-iou-loss-is-submodular-as-a-function-of-the-mispredictions-1809.01845</loc><lastmod>2018-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/yes-iou-loss-is-submodular-as-a-function-of-the-mispredictions-1809.01845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/yes-iou-loss-is-submodular-as-a-function-of-the-mispredictions-1809.01845"/></url>
<url><loc>https://scifaro.com/en/abs/travel-speed-prediction-with-a-hierarchical-convolutional-neural-network-and-long-short-term-memory-model-framework-1809.01887</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/travel-speed-prediction-with-a-hierarchical-convolutional-neural-network-and-long-short-term-memory-model-framework-1809.01887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/travel-speed-prediction-with-a-hierarchical-convolutional-neural-network-and-long-short-term-memory-model-framework-1809.01887"/></url>
<url><loc>https://scifaro.com/en/abs/propheticus-generalizable-machine-learning-framework-1809.01898</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/propheticus-generalizable-machine-learning-framework-1809.01898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/propheticus-generalizable-machine-learning-framework-1809.01898"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-regularization-for-deep-reinforcement-learning-with-transcoder-networks-1809.01906</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-regularization-for-deep-reinforcement-learning-with-transcoder-networks-1809.01906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-regularization-for-deep-reinforcement-learning-with-transcoder-networks-1809.01906"/></url>
<url><loc>https://scifaro.com/en/abs/hands-on-experience-with-gaussian-processes-gps-implementing-gps-in-python-i-1809.01913</loc><lastmod>2018-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hands-on-experience-with-gaussian-processes-gps-implementing-gps-in-python-i-1809.01913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hands-on-experience-with-gaussian-processes-gps-implementing-gps-in-python-i-1809.01913"/></url>
<url><loc>https://scifaro.com/en/abs/rdpd-rich-data-helps-poor-data-via-imitation-1809.01921</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rdpd-rich-data-helps-poor-data-via-imitation-1809.01921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rdpd-rich-data-helps-poor-data-via-imitation-1809.01921"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-measures-for-quantification-an-axiomatic-approach-1809.01991</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-measures-for-quantification-an-axiomatic-approach-1809.01991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-measures-for-quantification-an-axiomatic-approach-1809.01991"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-world-models-facilitate-policy-evolution-1809.01999</loc><lastmod>2018-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-world-models-facilitate-policy-evolution-1809.01999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-world-models-facilitate-policy-evolution-1809.01999"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-imitation-learning-via-generative-adversarial-nets-1809.02064</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-imitation-learning-via-generative-adversarial-nets-1809.02064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-imitation-learning-via-generative-adversarial-nets-1809.02064"/></url>
<url><loc>https://scifaro.com/en/abs/two-dimensional-stochastic-configuration-networks-for-image-data-analytics-1809.02066</loc><lastmod>2018-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-dimensional-stochastic-configuration-networks-for-image-data-analytics-1809.02066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-dimensional-stochastic-configuration-networks-for-image-data-analytics-1809.02066"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-in-vitro-prediction-of-pharmaceutical-formulations-1809.02069</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-in-vitro-prediction-of-pharmaceutical-formulations-1809.02069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-in-vitro-prediction-of-pharmaceutical-formulations-1809.02069"/></url>
<url><loc>https://scifaro.com/en/abs/archer-aggressive-rewards-to-counter-bias-in-hindsight-experience-replay-1809.02070</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/archer-aggressive-rewards-to-counter-bias-in-hindsight-experience-replay-1809.02070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/archer-aggressive-rewards-to-counter-bias-in-hindsight-experience-replay-1809.02070"/></url>
<url><loc>https://scifaro.com/en/abs/are-adversarial-examples-inevitable-1809.02104</loc><lastmod>2020-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-adversarial-examples-inevitable-1809.02104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-adversarial-examples-inevitable-1809.02104"/></url>
<url><loc>https://scifaro.com/en/abs/a-memory-network-based-solution-for-multivariate-time-series-forecasting-1809.02105</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-memory-network-based-solution-for-multivariate-time-series-forecasting-1809.02105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-memory-network-based-solution-for-multivariate-time-series-forecasting-1809.02105"/></url>
<url><loc>https://scifaro.com/en/abs/ans-adaptive-network-scaling-for-deep-rectifier-reinforcement-learning-models-1809.02112</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ans-adaptive-network-scaling-for-deep-rectifier-reinforcement-learning-models-1809.02112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ans-adaptive-network-scaling-for-deep-rectifier-reinforcement-learning-models-1809.02112"/></url>
<url><loc>https://scifaro.com/en/abs/learn-what-not-to-learn-action-elimination-with-deep-reinforcement-learning-1809.02121</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-what-not-to-learn-action-elimination-with-deep-reinforcement-learning-1809.02121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-what-not-to-learn-action-elimination-with-deep-reinforcement-learning-1809.02121"/></url>
<url><loc>https://scifaro.com/en/abs/gans-beyond-divergence-minimization-1809.02145</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gans-beyond-divergence-minimization-1809.02145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gans-beyond-divergence-minimization-1809.02145"/></url>
<url><loc>https://scifaro.com/en/abs/escaping-saddle-points-in-constrained-optimization-1809.02162</loc><lastmod>2018-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/escaping-saddle-points-in-constrained-optimization-1809.02162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/escaping-saddle-points-in-constrained-optimization-1809.02162"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-bayesian-inference-for-exponential-families-1809.02188</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-bayesian-inference-for-exponential-families-1809.02188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-bayesian-inference-for-exponential-families-1809.02188"/></url>
<url><loc>https://scifaro.com/en/abs/challenges-of-context-and-time-in-reinforcement-learning-introducing-space-fortress-as-a-benchmark-1809.02206</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-of-context-and-time-in-reinforcement-learning-introducing-space-fortress-as-a-benchmark-1809.02206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-of-context-and-time-in-reinforcement-learning-introducing-space-fortress-as-a-benchmark-1809.02206"/></url>
<url><loc>https://scifaro.com/en/abs/prodsumnet-reducing-model-parameters-in-deep-neural-networks-via-product-of-sums-matrix-decompositions-1809.02209</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prodsumnet-reducing-model-parameters-in-deep-neural-networks-via-product-of-sums-matrix-decompositions-1809.02209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prodsumnet-reducing-model-parameters-in-deep-neural-networks-via-product-of-sums-matrix-decompositions-1809.02209"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-net-with-attention-for-multi-channel-multi-touch-attribution-1809.02230</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-net-with-attention-for-multi-channel-multi-touch-attribution-1809.02230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-net-with-attention-for-multi-channel-multi-touch-attribution-1809.02230"/></url>
<url><loc>https://scifaro.com/en/abs/learning-optimal-fair-policies-1809.02244</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-optimal-fair-policies-1809.02244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-optimal-fair-policies-1809.02244"/></url>
<url><loc>https://scifaro.com/en/abs/learning-embeddings-of-directed-networks-with-text-associated-nodes-with-applications-in-software-package-dependency-networks-1809.02270</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-embeddings-of-directed-networks-with-text-associated-nodes-with-applications-in-software-package-dependency-networks-1809.02270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-embeddings-of-directed-networks-with-text-associated-nodes-with-applications-in-software-package-dependency-networks-1809.02270"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-ring-decomposition-with-rank-minimization-on-latent-space-an-efficient-approach-for-tensor-completion-1809.02288</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-ring-decomposition-with-rank-minimization-on-latent-space-an-efficient-approach-for-tensor-completion-1809.02288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-ring-decomposition-with-rank-minimization-on-latent-space-an-efficient-approach-for-tensor-completion-1809.02288"/></url>
<url><loc>https://scifaro.com/en/abs/a-block-coordinate-ascent-algorithm-for-mean-variance-optimization-1809.02292</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-block-coordinate-ascent-algorithm-for-mean-variance-optimization-1809.02292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-block-coordinate-ascent-algorithm-for-mean-variance-optimization-1809.02292"/></url>
<url><loc>https://scifaro.com/en/abs/fast-greedy-algorithms-for-dictionary-selection-with-generalized-sparsity-constraints-1809.02314</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-greedy-algorithms-for-dictionary-selection-with-generalized-sparsity-constraints-1809.02314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-greedy-algorithms-for-dictionary-selection-with-generalized-sparsity-constraints-1809.02314"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-gradient-descent-for-regularized-segmentation-losses-1809.02322</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-gradient-descent-for-regularized-segmentation-losses-1809.02322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-gradient-descent-for-regularized-segmentation-losses-1809.02322"/></url>
<url><loc>https://scifaro.com/en/abs/group-based-learning-of-disentangled-representations-with-generalizability-for-novel-contents-1809.02383</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-based-learning-of-disentangled-representations-with-generalizability-for-novel-contents-1809.02383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-based-learning-of-disentangled-representations-with-generalizability-for-novel-contents-1809.02383"/></url>
<url><loc>https://scifaro.com/en/abs/improving-on-policy-learning-with-statistical-reward-accumulation-1809.02387</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-on-policy-learning-with-statistical-reward-accumulation-1809.02387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-on-policy-learning-with-statistical-reward-accumulation-1809.02387"/></url>
<url><loc>https://scifaro.com/en/abs/deep-feature-learning-of-multi-network-topology-for-node-classification-1809.02394</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-feature-learning-of-multi-network-topology-for-node-classification-1809.02394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-feature-learning-of-multi-network-topology-for-node-classification-1809.02394"/></url>
<url><loc>https://scifaro.com/en/abs/deep-recurrent-survival-analysis-1809.02403</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-recurrent-survival-analysis-1809.02403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-recurrent-survival-analysis-1809.02403"/></url>
<url><loc>https://scifaro.com/en/abs/stacknet-stacking-parameters-for-continual-learning-1809.02441</loc><lastmod>2020-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stacknet-stacking-parameters-for-continual-learning-1809.02441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stacknet-stacking-parameters-for-continual-learning-1809.02441"/></url>
<url><loc>https://scifaro.com/en/abs/metamorphic-relation-based-adversarial-attacks-on-differentiable-neural-computer-1809.02444</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metamorphic-relation-based-adversarial-attacks-on-differentiable-neural-computer-1809.02444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metamorphic-relation-based-adversarial-attacks-on-differentiable-neural-computer-1809.02444"/></url>
<url><loc>https://scifaro.com/en/abs/biasedwalk-biased-sampling-for-representation-learning-on-graphs-1809.02482</loc><lastmod>2018-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biasedwalk-biased-sampling-for-representation-learning-on-graphs-1809.02482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biasedwalk-biased-sampling-for-representation-learning-on-graphs-1809.02482"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-kernel-pca-for-outlier-detection-1809.02497</loc><lastmod>2018-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-kernel-pca-for-outlier-detection-1809.02497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-kernel-pca-for-outlier-detection-1809.02497"/></url>
<url><loc>https://scifaro.com/en/abs/mixup-as-locally-linear-out-of-manifold-regularization-1809.02499</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixup-as-locally-linear-out-of-manifold-regularization-1809.02499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixup-as-locally-linear-out-of-manifold-regularization-1809.02499"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-through-causal-awareness-learning-latent-variable-models-for-biased-data-1809.02519</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-through-causal-awareness-learning-latent-variable-models-for-biased-data-1809.02519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-through-causal-awareness-learning-latent-variable-models-for-biased-data-1809.02519"/></url>
<url><loc>https://scifaro.com/en/abs/hypergcn-a-new-method-of-training-graph-convolutional-networks-on-hypergraphs-1809.02589</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypergcn-a-new-method-of-training-graph-convolutional-networks-on-hypergraphs-1809.02589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypergcn-a-new-method-of-training-graph-convolutional-networks-on-hypergraphs-1809.02589"/></url>
<url><loc>https://scifaro.com/en/abs/learning-invariances-for-policy-generalization-1809.02591</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-invariances-for-policy-generalization-1809.02591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-invariances-for-policy-generalization-1809.02591"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-accuracy-of-nearest-neighbor-classification-using-principled-construction-and-stochastic-sampling-of-training-set-centroids-1809.02599</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-accuracy-of-nearest-neighbor-classification-using-principled-construction-and-stochastic-sampling-of-training-set-centroids-1809.02599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-accuracy-of-nearest-neighbor-classification-using-principled-construction-and-stochastic-sampling-of-training-set-centroids-1809.02599"/></url>
<url><loc>https://scifaro.com/en/abs/gans-for-generating-eft-models-1809.02612</loc><lastmod>2020-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gans-for-generating-eft-models-1809.02612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gans-for-generating-eft-models-1809.02612"/></url>
<url><loc>https://scifaro.com/en/abs/unity-a-general-platform-for-intelligent-agents-1809.02627</loc><lastmod>2020-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unity-a-general-platform-for-intelligent-agents-1809.02627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unity-a-general-platform-for-intelligent-agents-1809.02627"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-generation-of-semantically-valid-graphs-via-regularizing-variational-autoencoders-1809.02630</loc><lastmod>2018-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-generation-of-semantically-valid-graphs-via-regularizing-variational-autoencoders-1809.02630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-generation-of-semantically-valid-graphs-via-regularizing-variational-autoencoders-1809.02630"/></url>
<url><loc>https://scifaro.com/en/abs/are-you-sure-you-want-to-do-that-classification-with-verification-1809.02652</loc><lastmod>2018-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-you-sure-you-want-to-do-that-classification-with-verification-1809.02652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-you-sure-you-want-to-do-that-classification-with-verification-1809.02652"/></url>
<url><loc>https://scifaro.com/en/abs/dreamnlp-novel-nlp-system-for-clinical-report-metadata-extraction-using-count-sketch-data-streaming-algorithm-preliminary-results-1809.02665</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dreamnlp-novel-nlp-system-for-clinical-report-metadata-extraction-using-count-sketch-data-streaming-algorithm-preliminary-results-1809.02665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dreamnlp-novel-nlp-system-for-clinical-report-metadata-extraction-using-count-sketch-data-streaming-algorithm-preliminary-results-1809.02665"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-thompson-sampling-for-combinatorial-multi-armed-bandit-with-probabilistically-triggered-arms-1809.02707</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-thompson-sampling-for-combinatorial-multi-armed-bandit-with-probabilistically-triggered-arms-1809.02707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-thompson-sampling-for-combinatorial-multi-armed-bandit-with-probabilistically-triggered-arms-1809.02707"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-edge-features-in-graph-neural-networks-1809.02709</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-edge-features-in-graph-neural-networks-1809.02709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-edge-features-in-graph-neural-networks-1809.02709"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-solve-np-complete-problems-a-graph-neural-network-for-decision-tsp-1809.02721</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-solve-np-complete-problems-a-graph-neural-network-for-decision-tsp-1809.02721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-solve-np-complete-problems-a-graph-neural-network-for-decision-tsp-1809.02721"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-differentially-private-without-replacement-stochastic-gradient-descent-1809.02727</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-differentially-private-without-replacement-stochastic-gradient-descent-1809.02727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-differentially-private-without-replacement-stochastic-gradient-descent-1809.02727"/></url>
<url><loc>https://scifaro.com/en/abs/coupled-igmm-gans-for-deep-multimodal-anomaly-detection-in-human-mobility-data-1809.02728</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupled-igmm-gans-for-deep-multimodal-anomaly-detection-in-human-mobility-data-1809.02728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupled-igmm-gans-for-deep-multimodal-anomaly-detection-in-human-mobility-data-1809.02728"/></url>
<url><loc>https://scifaro.com/en/abs/ensembles-of-nested-dichotomies-with-multiple-subset-evaluation-1809.02740</loc><lastmod>2018-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensembles-of-nested-dichotomies-with-multiple-subset-evaluation-1809.02740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensembles-of-nested-dichotomies-with-multiple-subset-evaluation-1809.02740"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-calibration-of-nested-dichotomies-for-large-multiclass-tasks-1809.02744</loc><lastmod>2018-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-calibration-of-nested-dichotomies-for-large-multiclass-tasks-1809.02744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-calibration-of-nested-dichotomies-for-large-multiclass-tasks-1809.02744"/></url>
<url><loc>https://scifaro.com/en/abs/molecular-hypergraph-grammar-with-its-application-to-molecular-optimization-1809.02745</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molecular-hypergraph-grammar-with-its-application-to-molecular-optimization-1809.02745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molecular-hypergraph-grammar-with-its-application-to-molecular-optimization-1809.02745"/></url>
<url><loc>https://scifaro.com/en/abs/structure-preserving-transformation-generating-diverse-and-transferable-adversarial-examples-1809.02786</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-preserving-transformation-generating-diverse-and-transferable-adversarial-examples-1809.02786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-preserving-transformation-generating-diverse-and-transferable-adversarial-examples-1809.02786"/></url>
<url><loc>https://scifaro.com/en/abs/handling-concept-drift-via-model-reuse-1809.02804</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/handling-concept-drift-via-model-reuse-1809.02804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/handling-concept-drift-via-model-reuse-1809.02804"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-classification-of-user-reactions-in-online-news-1809.02811</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-classification-of-user-reactions-in-online-news-1809.02811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-classification-of-user-reactions-in-online-news-1809.02811"/></url>
<url><loc>https://scifaro.com/en/abs/non-parametric-variational-inference-with-graph-convolutional-networks-for-gaussian-processes-1809.02838</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-parametric-variational-inference-with-graph-convolutional-networks-for-gaussian-processes-1809.02838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-parametric-variational-inference-with-graph-convolutional-networks-for-gaussian-processes-1809.02838"/></url>
<url><loc>https://scifaro.com/en/abs/neural-guided-constraint-logic-programming-for-program-synthesis-1809.02840</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-guided-constraint-logic-programming-for-program-synthesis-1809.02840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-guided-constraint-logic-programming-for-program-synthesis-1809.02840"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-the-most-informative-features-using-a-structurally-interacting-elastic-net-1809.02860</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-the-most-informative-features-using-a-structurally-interacting-elastic-net-1809.02860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-the-most-informative-features-using-a-structurally-interacting-elastic-net-1809.02860"/></url>
<url><loc>https://scifaro.com/en/abs/why-do-adversarial-attacks-transfer-explaining-transferability-of-evasion-and-poisoning-attacks-1809.02861</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-do-adversarial-attacks-transfer-explaining-transferability-of-evasion-and-poisoning-attacks-1809.02861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-do-adversarial-attacks-transfer-explaining-transferability-of-evasion-and-poisoning-attacks-1809.02861"/></url>
<url><loc>https://scifaro.com/en/abs/online-adaptive-methods-universality-and-acceleration-1809.02864</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-adaptive-methods-universality-and-acceleration-1809.02864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-adaptive-methods-universality-and-acceleration-1809.02864"/></url>
<url><loc>https://scifaro.com/en/abs/machine-teaching-of-active-sequential-learners-1809.02869</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-teaching-of-active-sequential-learners-1809.02869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-teaching-of-active-sequential-learners-1809.02869"/></url>
<url><loc>https://scifaro.com/en/abs/phaselink-a-deep-learning-approach-to-seismic-phase-association-1809.02880</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phaselink-a-deep-learning-approach-to-seismic-phase-association-1809.02880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phaselink-a-deep-learning-approach-to-seismic-phase-association-1809.02880"/></url>
<url><loc>https://scifaro.com/en/abs/discriminator-actor-critic-addressing-sample-inefficiency-and-reward-bias-in-adversarial-imitation-learning-1809.02925</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminator-actor-critic-addressing-sample-inefficiency-and-reward-bias-in-adversarial-imitation-learning-1809.02925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminator-actor-critic-addressing-sample-inefficiency-and-reward-bias-in-adversarial-imitation-learning-1809.02925"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-prediction-of-interactive-driving-behavior-via-hierarchical-inverse-reinforcement-learning-1809.02926</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-prediction-of-interactive-driving-behavior-via-hierarchical-inverse-reinforcement-learning-1809.02926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-prediction-of-interactive-driving-behavior-via-hierarchical-inverse-reinforcement-learning-1809.02926"/></url>
<url><loc>https://scifaro.com/en/abs/training-for-faster-adversarial-robustness-verification-via-inducing-relu-stability-1809.03008</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-for-faster-adversarial-robustness-verification-via-inducing-relu-stability-1809.03008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-for-faster-adversarial-robustness-verification-via-inducing-relu-stability-1809.03008"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-descent-learns-state-equations-with-nonlinear-activations-1809.03019</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-descent-learns-state-equations-with-nonlinear-activations-1809.03019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-descent-learns-state-equations-with-nonlinear-activations-1809.03019"/></url>
<url><loc>https://scifaro.com/en/abs/distance-preserving-model-order-reduction-of-graph-laplacians-and-cluster-analysis-1809.03048</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-preserving-model-order-reduction-of-graph-laplacians-and-cluster-analysis-1809.03048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-preserving-model-order-reduction-of-graph-laplacians-and-cluster-analysis-1809.03048"/></url>
<url><loc>https://scifaro.com/en/abs/active-inverse-reward-design-1809.03060</loc><lastmod>2023-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-inverse-reward-design-1809.03060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-inverse-reward-design-1809.03060"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-the-generalization-error-empirical-risk-minimization-over-deep-artificial-neural-networks-overcomes-the-curse-of-dimensionality-in-the-numerical-approximation-of-black-scholes-partial-differential-equations-1809.03062</loc><lastmod>2020-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-the-generalization-error-empirical-risk-minimization-over-deep-artificial-neural-networks-overcomes-the-curse-of-dimensionality-in-the-numerical-approximation-of-black-scholes-partial-differential-equations-1809.03062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-the-generalization-error-empirical-risk-minimization-over-deep-artificial-neural-networks-overcomes-the-curse-of-dimensionality-in-the-numerical-approximation-of-black-scholes-partial-differential-equations-1809.03062"/></url>
<url><loc>https://scifaro.com/en/abs/the-curse-of-concentration-in-robust-learning-evasion-and-poisoning-attacks-from-concentration-of-measure-1809.03063</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-curse-of-concentration-in-robust-learning-evasion-and-poisoning-attacks-from-concentration-of-measure-1809.03063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-curse-of-concentration-in-robust-learning-evasion-and-poisoning-attacks-from-concentration-of-measure-1809.03063"/></url>
<url><loc>https://scifaro.com/en/abs/sample-complexity-of-nonparametric-semi-supervised-learning-1809.03073</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-complexity-of-nonparametric-semi-supervised-learning-1809.03073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-complexity-of-nonparametric-semi-supervised-learning-1809.03073"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-counterfactual-learning-from-bandit-feedback-1809.03084</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-counterfactual-learning-from-bandit-feedback-1809.03084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-counterfactual-learning-from-bandit-feedback-1809.03084"/></url>
<url><loc>https://scifaro.com/en/abs/certified-adversarial-robustness-with-additive-noise-1809.03113</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certified-adversarial-robustness-with-additive-noise-1809.03113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certified-adversarial-robustness-with-additive-noise-1809.03113"/></url>
<url><loc>https://scifaro.com/en/abs/deep-mr-image-super-resolution-using-structural-priors-1809.03140</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-mr-image-super-resolution-using-structural-priors-1809.03140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-mr-image-super-resolution-using-structural-priors-1809.03140"/></url>
<url><loc>https://scifaro.com/en/abs/learning-adaptive-display-exposure-for-real-time-advertising-1809.03149</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-adaptive-display-exposure-for-real-time-advertising-1809.03149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-adaptive-display-exposure-for-real-time-advertising-1809.03149"/></url>
<url><loc>https://scifaro.com/en/abs/shallow-vs-deep-learning-architectures-for-white-matter-lesion-segmentation-in-the-early-stages-of-multiple-sclerosis-1809.03185</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shallow-vs-deep-learning-architectures-for-white-matter-lesion-segmentation-in-the-early-stages-of-multiple-sclerosis-1809.03185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shallow-vs-deep-learning-architectures-for-white-matter-lesion-segmentation-in-the-early-stages-of-multiple-sclerosis-1809.03185"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-the-selected-completely-at-random-assumption-for-learning-from-positive-and-unlabeled-data-1809.03207</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-the-selected-completely-at-random-assumption-for-learning-from-positive-and-unlabeled-data-1809.03207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-the-selected-completely-at-random-assumption-for-learning-from-positive-and-unlabeled-data-1809.03207"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-behavior-generation-for-autonomous-driving-using-deep-reinforcement-learning-with-compact-semantic-states-1809.03214</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-behavior-generation-for-autonomous-driving-using-deep-reinforcement-learning-with-compact-semantic-states-1809.03214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-behavior-generation-for-autonomous-driving-using-deep-reinforcement-learning-with-compact-semantic-states-1809.03214"/></url>
<url><loc>https://scifaro.com/en/abs/feature-learning-for-meta-paths-in-knowledge-graphs-1809.03267</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-learning-for-meta-paths-in-knowledge-graphs-1809.03267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-learning-for-meta-paths-in-knowledge-graphs-1809.03267"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-deep-learning-via-weight-transmission-1809.03272</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-deep-learning-via-weight-transmission-1809.03272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-deep-learning-via-weight-transmission-1809.03272"/></url>
<url><loc>https://scifaro.com/en/abs/deriving-enhanced-geographical-representations-via-similarity-based-spectral-analysis-predicting-colorectal-cancer-survival-curves-in-iowa-1809.03323</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deriving-enhanced-geographical-representations-via-similarity-based-spectral-analysis-predicting-colorectal-cancer-survival-curves-in-iowa-1809.03323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deriving-enhanced-geographical-representations-via-similarity-based-spectral-analysis-predicting-colorectal-cancer-survival-curves-in-iowa-1809.03323"/></url>
<url><loc>https://scifaro.com/en/abs/torchbearer-a-model-fitting-library-for-pytorch-1809.03363</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/torchbearer-a-model-fitting-library-for-pytorch-1809.03363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/torchbearer-a-model-fitting-library-for-pytorch-1809.03363"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-binary-neural-networks-1809.03368</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-binary-neural-networks-1809.03368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-binary-neural-networks-1809.03368"/></url>
<url><loc>https://scifaro.com/en/abs/spass-scientific-prominence-active-search-system-with-deep-image-captioning-network-1809.03385</loc><lastmod>2020-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spass-scientific-prominence-active-search-system-with-deep-image-captioning-network-1809.03385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spass-scientific-prominence-active-search-system-with-deep-image-captioning-network-1809.03385"/></url>
<url><loc>https://scifaro.com/en/abs/a-moral-framework-for-understanding-of-fair-ml-through-economic-models-of-equality-of-opportunity-1809.03400</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-moral-framework-for-understanding-of-fair-ml-through-economic-models-of-equality-of-opportunity-1809.03400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-moral-framework-for-understanding-of-fair-ml-through-economic-models-of-equality-of-opportunity-1809.03400"/></url>
<url><loc>https://scifaro.com/en/abs/does-your-phone-know-your-touch-1809.03402</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-your-phone-know-your-touch-1809.03402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-your-phone-know-your-touch-1809.03402"/></url>
<url><loc>https://scifaro.com/en/abs/not-just-privacy-improving-performance-of-private-deep-learning-in-mobile-cloud-1809.03428</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/not-just-privacy-improving-performance-of-private-deep-learning-in-mobile-cloud-1809.03428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/not-just-privacy-improving-performance-of-private-deep-learning-in-mobile-cloud-1809.03428"/></url>
<url><loc>https://scifaro.com/en/abs/expert-augmented-actor-critic-for-vizdoom-and-montezumas-revenge-1809.03447</loc><lastmod>2018-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expert-augmented-actor-critic-for-vizdoom-and-montezumas-revenge-1809.03447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expert-augmented-actor-critic-for-vizdoom-and-montezumas-revenge-1809.03447"/></url>
<url><loc>https://scifaro.com/en/abs/universal-multi-party-poisoning-attacks-1809.03474</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-multi-party-poisoning-attacks-1809.03474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-multi-party-poisoning-attacks-1809.03474"/></url>
<url><loc>https://scifaro.com/en/abs/energy-disaggregation-via-deep-temporal-dictionary-learning-1809.03534</loc><lastmod>2018-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-disaggregation-via-deep-temporal-dictionary-learning-1809.03534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-disaggregation-via-deep-temporal-dictionary-learning-1809.03534"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-graph-auto-encoder-a-deep-generative-neural-architecture-for-probabilistic-spatio-temporal-solar-irradiance-forecasting-1809.03538</loc><lastmod>2018-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-graph-auto-encoder-a-deep-generative-neural-architecture-for-probabilistic-spatio-temporal-solar-irradiance-forecasting-1809.03538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-graph-auto-encoder-a-deep-generative-neural-architecture-for-probabilistic-spatio-temporal-solar-irradiance-forecasting-1809.03538"/></url>
<url><loc>https://scifaro.com/en/abs/vpe-variational-policy-embedding-for-transfer-reinforcement-learning-1809.03548</loc><lastmod>2018-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vpe-variational-policy-embedding-for-transfer-reinforcement-learning-1809.03548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vpe-variational-policy-embedding-for-transfer-reinforcement-learning-1809.03548"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-towards-mobile-applications-1809.03559</loc><lastmod>2018-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-towards-mobile-applications-1809.03559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-towards-mobile-applications-1809.03559"/></url>
<url><loc>https://scifaro.com/en/abs/collapsed-variational-inference-for-nonparametric-bayesian-group-factor-analysis-1809.03566</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collapsed-variational-inference-for-nonparametric-bayesian-group-factor-analysis-1809.03566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collapsed-variational-inference-for-nonparametric-bayesian-group-factor-analysis-1809.03566"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-distribution-detection-using-an-ensemble-of-self-supervised-leave-out-classifiers-1809.03576</loc><lastmod>2018-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-distribution-detection-using-an-ensemble-of-self-supervised-leave-out-classifiers-1809.03576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-distribution-detection-using-an-ensemble-of-self-supervised-leave-out-classifiers-1809.03576"/></url>
<url><loc>https://scifaro.com/en/abs/clustergan-latent-space-clustering-in-generative-adversarial-networks-1809.03627</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustergan-latent-space-clustering-in-generative-adversarial-networks-1809.03627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustergan-latent-space-clustering-in-generative-adversarial-networks-1809.03627"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-computing-platforms-for-deep-learning-on-a-humanoid-robot-1809.03668</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-computing-platforms-for-deep-learning-on-a-humanoid-robot-1809.03668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-computing-platforms-for-deep-learning-on-a-humanoid-robot-1809.03668"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-attentive-backtracking-temporal-creditassignment-through-reminding-1809.03702</loc><lastmod>2018-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-attentive-backtracking-temporal-creditassignment-through-reminding-1809.03702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-attentive-backtracking-temporal-creditassignment-through-reminding-1809.03702"/></url>
<url><loc>https://scifaro.com/en/abs/deep-asymmetric-networks-with-a-set-of-node-wise-variant-activation-functions-1809.03721</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-asymmetric-networks-with-a-set-of-node-wise-variant-activation-functions-1809.03721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-asymmetric-networks-with-a-set-of-node-wise-variant-activation-functions-1809.03721"/></url>
<url><loc>https://scifaro.com/en/abs/solving-non-identifiable-latent-feature-models-1809.03776</loc><lastmod>2018-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-non-identifiable-latent-feature-models-1809.03776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-non-identifiable-latent-feature-models-1809.03776"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-blood-glucose-with-an-lstm-and-bi-lstm-based-deep-neural-network-1809.03817</loc><lastmod>2018-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-blood-glucose-with-an-lstm-and-bi-lstm-based-deep-neural-network-1809.03817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-blood-glucose-with-an-lstm-and-bi-lstm-based-deep-neural-network-1809.03817"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-domain-adaptation-based-on-source-guided-discrepancy-1809.03839</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-based-on-source-guided-discrepancy-1809.03839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-based-on-source-guided-discrepancy-1809.03839"/></url>
<url><loc>https://scifaro.com/en/abs/response-characterization-for-auditing-cell-dynamics-in-long-short-term-memory-networks-1809.03864</loc><lastmod>2018-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/response-characterization-for-auditing-cell-dynamics-in-long-short-term-memory-networks-1809.03864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/response-characterization-for-auditing-cell-dynamics-in-long-short-term-memory-networks-1809.03864"/></url>
<url><loc>https://scifaro.com/en/abs/deep-inferential-spatial-temporal-network-for-forecasting-air-pollution-concentrations-1809.03964</loc><lastmod>2018-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-inferential-spatial-temporal-network-for-forecasting-air-pollution-concentrations-1809.03964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-inferential-spatial-temporal-network-for-forecasting-air-pollution-concentrations-1809.03964"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-algorithms-for-structured-prediction-1809.04091</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-algorithms-for-structured-prediction-1809.04091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-algorithms-for-structured-prediction-1809.04091"/></url>
<url><loc>https://scifaro.com/en/abs/cartesian-neural-network-constitutive-models-for-data-driven-elasticity-imaging-1809.04121</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cartesian-neural-network-constitutive-models-for-data-driven-elasticity-imaging-1809.04121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cartesian-neural-network-constitutive-models-for-data-driven-elasticity-imaging-1809.04121"/></url>
<url><loc>https://scifaro.com/en/abs/heated-up-softmax-embedding-1809.04157</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heated-up-softmax-embedding-1809.04157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heated-up-softmax-embedding-1809.04157"/></url>
<url><loc>https://scifaro.com/en/abs/phaseless-subspace-tracking-1809.04176</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phaseless-subspace-tracking-1809.04176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phaseless-subspace-tracking-1809.04176"/></url>
<url><loc>https://scifaro.com/en/abs/layerwise-perturbation-based-adversarial-training-for-hard-drive-health-degree-prediction-1809.04188</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layerwise-perturbation-based-adversarial-training-for-hard-drive-health-degree-prediction-1809.04188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layerwise-perturbation-based-adversarial-training-for-hard-drive-health-degree-prediction-1809.04188"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-with-non-differentiable-constraints-with-applications-to-fairness-recall-churn-and-other-goals-1809.04198</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-with-non-differentiable-constraints-with-applications-to-fairness-recall-churn-and-other-goals-1809.04198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-with-non-differentiable-constraints-with-applications-to-fairness-recall-churn-and-other-goals-1809.04198"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-pattern-attention-for-multivariate-time-series-forecasting-1809.04206</loc><lastmod>2019-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-pattern-attention-for-multivariate-time-series-forecasting-1809.04206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-pattern-attention-for-multivariate-time-series-forecasting-1809.04206"/></url>
<url><loc>https://scifaro.com/en/abs/extracting-fairness-policies-from-legal-documents-1809.04262</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extracting-fairness-policies-from-legal-documents-1809.04262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extracting-fairness-policies-from-legal-documents-1809.04262"/></url>
<url><loc>https://scifaro.com/en/abs/mothernets-rapid-deep-ensemble-learning-1809.04270</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mothernets-rapid-deep-ensemble-learning-1809.04270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mothernets-rapid-deep-ensemble-learning-1809.04270"/></url>
<url><loc>https://scifaro.com/en/abs/music-transformer-1809.04281</loc><lastmod>2018-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/music-transformer-1809.04281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/music-transformer-1809.04281"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-time-series-classification-a-review-1809.04356</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-time-series-classification-a-review-1809.04356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-time-series-classification-a-review-1809.04356"/></url>
<url><loc>https://scifaro.com/en/abs/training-deep-neural-networks-with-different-datasets-in-the-wild-the-emotion-recognition-paradigm-1809.04359</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-deep-neural-networks-with-different-datasets-in-the-wild-the-emotion-recognition-paradigm-1809.04359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-deep-neural-networks-with-different-datasets-in-the-wild-the-emotion-recognition-paradigm-1809.04359"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-semi-supervised-learning-with-graph-gaussian-processes-1809.04379</loc><lastmod>2018-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-semi-supervised-learning-with-graph-gaussian-processes-1809.04379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-semi-supervised-learning-with-graph-gaussian-processes-1809.04379"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-mixtures-of-gaussian-process-experts-using-sum-product-networks-1809.04400</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-mixtures-of-gaussian-process-experts-using-sum-product-networks-1809.04400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-mixtures-of-gaussian-process-experts-using-sum-product-networks-1809.04400"/></url>
<url><loc>https://scifaro.com/en/abs/can-a-compact-neuronal-circuit-policy-be-re-purposed-to-learn-simple-robotic-control-1809.04423</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-a-compact-neuronal-circuit-policy-be-re-purposed-to-learn-simple-robotic-control-1809.04423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-a-compact-neuronal-circuit-policy-be-re-purposed-to-learn-simple-robotic-control-1809.04423"/></url>
<url><loc>https://scifaro.com/en/abs/addressing-the-fundamental-tension-of-pcgml-with-discriminative-learning-1809.04432</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addressing-the-fundamental-tension-of-pcgml-with-discriminative-learning-1809.04432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addressing-the-fundamental-tension-of-pcgml-with-discriminative-learning-1809.04432"/></url>
<url><loc>https://scifaro.com/en/abs/learning-based-efficient-graph-similarity-computation-via-multi-scale-convolutional-set-matching-1809.04440</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-based-efficient-graph-similarity-computation-via-multi-scale-convolutional-set-matching-1809.04440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-based-efficient-graph-similarity-computation-via-multi-scale-convolutional-set-matching-1809.04440"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-learning-based-validation-procedure-for-simulation-workflow-1809.04441</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-learning-based-validation-procedure-for-simulation-workflow-1809.04441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-learning-based-validation-procedure-for-simulation-workflow-1809.04441"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-deep-reinforcement-learning-with-popart-1809.04474</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-deep-reinforcement-learning-with-popart-1809.04474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-deep-reinforcement-learning-with-popart-1809.04474"/></url>
<url><loc>https://scifaro.com/en/abs/but-how-does-it-work-in-theory-linear-svm-with-random-features-1809.04481</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/but-how-does-it-work-in-theory-linear-svm-with-random-features-1809.04481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/but-how-does-it-work-in-theory-linear-svm-with-random-features-1809.04481"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-topical-interactions-in-text-based-cascades-using-hidden-markov-hawkes-processes-1809.04487</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-topical-interactions-in-text-based-cascades-using-hidden-markov-hawkes-processes-1809.04487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-topical-interactions-in-text-based-cascades-using-hidden-markov-hawkes-processes-1809.04487"/></url>
<url><loc>https://scifaro.com/en/abs/hyperprior-induced-unsupervised-disentanglement-of-latent-representations-1809.04497</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperprior-induced-unsupervised-disentanglement-of-latent-representations-1809.04497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperprior-induced-unsupervised-disentanglement-of-latent-representations-1809.04497"/></url>
<url><loc>https://scifaro.com/en/abs/combined-reinforcement-learning-via-abstract-representations-1809.04506</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combined-reinforcement-learning-via-abstract-representations-1809.04506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combined-reinforcement-learning-via-abstract-representations-1809.04506"/></url>
<url><loc>https://scifaro.com/en/abs/the-inductive-bias-of-restricted-f-gans-1809.04542</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-inductive-bias-of-restricted-f-gans-1809.04542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-inductive-bias-of-restricted-f-gans-1809.04542"/></url>
<url><loc>https://scifaro.com/en/abs/using-the-tsetlin-machine-to-learn-human-interpretable-rules-for-high-accuracy-text-categorization-with-medical-applications-1809.04547</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-the-tsetlin-machine-to-learn-human-interpretable-rules-for-high-accuracy-text-categorization-with-medical-applications-1809.04547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-the-tsetlin-machine-to-learn-human-interpretable-rules-for-high-accuracy-text-categorization-with-medical-applications-1809.04547"/></url>
<url><loc>https://scifaro.com/en/abs/coordinated-heterogeneous-distributed-perception-based-on-latent-space-representation-1809.04558</loc><lastmod>2018-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coordinated-heterogeneous-distributed-perception-based-on-latent-space-representation-1809.04558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coordinated-heterogeneous-distributed-perception-based-on-latent-space-representation-1809.04558"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-and-optimization-of-gradient-boosting-decision-tree-algorithms-1809.04559</loc><lastmod>2019-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-and-optimization-of-gradient-boosting-decision-tree-algorithms-1809.04559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-and-optimization-of-gradient-boosting-decision-tree-algorithms-1809.04559"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-generalization-of-stochastic-gradient-descent-with-momentum-1809.04564</loc><lastmod>2024-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-generalization-of-stochastic-gradient-descent-with-momentum-1809.04564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-generalization-of-stochastic-gradient-descent-with-momentum-1809.04564"/></url>
<url><loc>https://scifaro.com/en/abs/simplicity-creates-inequity-implications-for-fairness-stereotypes-and-interpretability-1809.04578</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simplicity-creates-inequity-implications-for-fairness-stereotypes-and-interpretability-1809.04578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simplicity-creates-inequity-implications-for-fairness-stereotypes-and-interpretability-1809.04578"/></url>
<url><loc>https://scifaro.com/en/abs/creating-fair-models-of-atherosclerotic-cardiovascular-disease-risk-1809.04663</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/creating-fair-models-of-atherosclerotic-cardiovascular-disease-risk-1809.04663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/creating-fair-models-of-atherosclerotic-cardiovascular-disease-risk-1809.04663"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-batch-online-learning-framework-for-click-prediction-1809.04673</loc><lastmod>2018-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-batch-online-learning-framework-for-click-prediction-1809.04673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-batch-online-learning-framework-for-click-prediction-1809.04673"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-program-synthesis-of-long-programs-with-a-learned-garbage-collector-1809.04682</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-program-synthesis-of-long-programs-with-a-learned-garbage-collector-1809.04682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-program-synthesis-of-long-programs-with-a-learned-garbage-collector-1809.04682"/></url>
<url><loc>https://scifaro.com/en/abs/safe-a-neural-survival-analysis-model-for-fraud-early-detection-1809.04683</loc><lastmod>2018-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-a-neural-survival-analysis-model-for-fraud-early-detection-1809.04683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-a-neural-survival-analysis-model-for-fraud-early-detection-1809.04683"/></url>
<url><loc>https://scifaro.com/en/abs/fair-lending-needs-explainable-models-for-responsible-recommendation-1809.04684</loc><lastmod>2018-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-lending-needs-explainable-models-for-responsible-recommendation-1809.04684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-lending-needs-explainable-models-for-responsible-recommendation-1809.04684"/></url>
<url><loc>https://scifaro.com/en/abs/distilled-wasserstein-learning-for-word-embedding-and-topic-modeling-1809.04705</loc><lastmod>2018-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilled-wasserstein-learning-for-word-embedding-and-topic-modeling-1809.04705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilled-wasserstein-learning-for-word-embedding-and-topic-modeling-1809.04705"/></url>
<url><loc>https://scifaro.com/en/abs/sim-to-real-transfer-learning-using-robustified-controllers-in-robotic-tasks-involving-complex-dynamics-1809.04720</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sim-to-real-transfer-learning-using-robustified-controllers-in-robotic-tasks-involving-complex-dynamics-1809.04720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sim-to-real-transfer-learning-using-robustified-controllers-in-robotic-tasks-involving-complex-dynamics-1809.04720"/></url>
<url><loc>https://scifaro.com/en/abs/a-less-biased-evaluation-of-out-of-distribution-sample-detectors-1809.04729</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-less-biased-evaluation-of-out-of-distribution-sample-detectors-1809.04729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-less-biased-evaluation-of-out-of-distribution-sample-detectors-1809.04729"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-aware-classification-criterion-convexity-and-bounds-1809.04737</loc><lastmod>2018-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-aware-classification-criterion-convexity-and-bounds-1809.04737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-aware-classification-criterion-convexity-and-bounds-1809.04737"/></url>
<url><loc>https://scifaro.com/en/abs/geodesic-clustering-in-deep-generative-models-1809.04747</loc><lastmod>2018-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geodesic-clustering-in-deep-generative-models-1809.04747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geodesic-clustering-in-deep-generative-models-1809.04747"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-with-generative-adversarial-networks-for-multivariate-time-series-1809.04758</loc><lastmod>2019-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-with-generative-adversarial-networks-for-multivariate-time-series-1809.04758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-with-generative-adversarial-networks-for-multivariate-time-series-1809.04758"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-opportunities-and-challenges-1809.04790</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-opportunities-and-challenges-1809.04790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-opportunities-and-challenges-1809.04790"/></url>
<url><loc>https://scifaro.com/en/abs/query-efficient-black-box-attack-by-active-learning-1809.04913</loc><lastmod>2018-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/query-efficient-black-box-attack-by-active-learning-1809.04913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/query-efficient-black-box-attack-by-active-learning-1809.04913"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-classification-using-posterior-linearisation-1809.04967</loc><lastmod>2019-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-classification-using-posterior-linearisation-1809.04967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-classification-using-posterior-linearisation-1809.04967"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-coordination-of-deep-models-for-learning-visual-arithmetic-1809.04988</loc><lastmod>2018-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-coordination-of-deep-models-for-learning-visual-arithmetic-1809.04988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-coordination-of-deep-models-for-learning-visual-arithmetic-1809.04988"/></url>
<url><loc>https://scifaro.com/en/abs/clipped-matrix-completion-a-remedy-for-ceiling-effects-1809.04997</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clipped-matrix-completion-a-remedy-for-ceiling-effects-1809.04997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clipped-matrix-completion-a-remedy-for-ceiling-effects-1809.04997"/></url>
<url><loc>https://scifaro.com/en/abs/derivative-free-online-learning-of-inverse-dynamics-models-1809.05074</loc><lastmod>2018-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/derivative-free-online-learning-of-inverse-dynamics-models-1809.05074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/derivative-free-online-learning-of-inverse-dynamics-models-1809.05074"/></url>
<url><loc>https://scifaro.com/en/abs/il-net-using-expert-knowledge-to-guide-the-design-of-furcated-neural-networks-1809.05127</loc><lastmod>2018-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/il-net-using-expert-knowledge-to-guide-the-design-of-furcated-neural-networks-1809.05127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/il-net-using-expert-knowledge-to-guide-the-design-of-furcated-neural-networks-1809.05127"/></url>
<url><loc>https://scifaro.com/en/abs/choosing-to-rank-1809.05139</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/choosing-to-rank-1809.05139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/choosing-to-rank-1809.05139"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-and-gamification-approach-to-energy-conservation-at-nanyang-technological-university-1809.05142</loc><lastmod>2018-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-and-gamification-approach-to-energy-conservation-at-nanyang-technological-university-1809.05142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-and-gamification-approach-to-energy-conservation-at-nanyang-technological-university-1809.05142"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-classification-for-variable-fidelity-data-1809.05143</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-classification-for-variable-fidelity-data-1809.05143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-classification-for-variable-fidelity-data-1809.05143"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-time-series-tweaking-via-irreversible-and-reversible-temporal-transformations-1809.05183</loc><lastmod>2018-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-time-series-tweaking-via-irreversible-and-reversible-temporal-transformations-1809.05183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-time-series-tweaking-via-irreversible-and-reversible-temporal-transformations-1809.05183"/></url>
<url><loc>https://scifaro.com/en/abs/cm3-cooperative-multi-goal-multi-stage-multi-agent-reinforcement-learning-1809.05188</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cm3-cooperative-multi-goal-multi-stage-multi-agent-reinforcement-learning-1809.05188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cm3-cooperative-multi-goal-multi-stage-multi-agent-reinforcement-learning-1809.05188"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-reinforcement-learning-via-meta-policy-optimization-1809.05214</loc><lastmod>2018-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-via-meta-policy-optimization-1809.05214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-via-meta-policy-optimization-1809.05214"/></url>
<url><loc>https://scifaro.com/en/abs/graph-pattern-mining-and-learning-through-user-defined-relations-extended-version-1809.05241</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-pattern-mining-and-learning-through-user-defined-relations-extended-version-1809.05241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-pattern-mining-and-learning-through-user-defined-relations-extended-version-1809.05241"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-topologies-for-sparse-training-1809.05242</loc><lastmod>2018-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-topologies-for-sparse-training-1809.05242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-topologies-for-sparse-training-1809.05242"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-random-binning-features-fast-convergence-and-strong-parallelizability-1809.05247</loc><lastmod>2018-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-random-binning-features-fast-convergence-and-strong-parallelizability-1809.05247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-random-binning-features-fast-convergence-and-strong-parallelizability-1809.05247"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-nonparametric-anomaly-detection-in-high-dimensional-settings-1809.05250</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-nonparametric-anomaly-detection-in-high-dimensional-settings-1809.05250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-nonparametric-anomaly-detection-in-high-dimensional-settings-1809.05250"/></url>
<url><loc>https://scifaro.com/en/abs/online-cyber-attack-detection-in-smart-grid-a-reinforcement-learning-approach-1809.05258</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-cyber-attack-detection-in-smart-grid-a-reinforcement-learning-approach-1809.05258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-cyber-attack-detection-in-smart-grid-a-reinforcement-learning-approach-1809.05258"/></url>
<url><loc>https://scifaro.com/en/abs/random-warping-series-a-random-features-method-for-time-series-embedding-1809.05259</loc><lastmod>2018-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-warping-series-a-random-features-method-for-time-series-embedding-1809.05259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-warping-series-a-random-features-method-for-time-series-embedding-1809.05259"/></url>
<url><loc>https://scifaro.com/en/abs/network-recasting-a-universal-method-for-network-architecture-transformation-1809.05262</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-recasting-a-universal-method-for-network-architecture-transformation-1809.05262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-recasting-a-universal-method-for-network-architecture-transformation-1809.05262"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-rank-minimization-via-solving-non-convexpenalties-by-iterative-shrinkage-thresholding-algorithm-1809.05292</loc><lastmod>2018-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-rank-minimization-via-solving-non-convexpenalties-by-iterative-shrinkage-thresholding-algorithm-1809.05292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-rank-minimization-via-solving-non-convexpenalties-by-iterative-shrinkage-thresholding-algorithm-1809.05292"/></url>
<url><loc>https://scifaro.com/en/abs/hardware-aware-machine-learning-modeling-and-optimization-1809.05476</loc><lastmod>2018-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hardware-aware-machine-learning-modeling-and-optimization-1809.05476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hardware-aware-machine-learning-modeling-and-optimization-1809.05476"/></url>
<url><loc>https://scifaro.com/en/abs/melding-the-data-decisions-pipeline-decision-focused-learning-for-combinatorial-optimization-1809.05504</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/melding-the-data-decisions-pipeline-decision-focused-learning-for-combinatorial-optimization-1809.05504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/melding-the-data-decisions-pipeline-decision-focused-learning-for-combinatorial-optimization-1809.05504"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-structured-surrogate-loss-and-regularization-in-structured-prediction-1809.05550</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-structured-surrogate-loss-and-regularization-in-structured-prediction-1809.05550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-structured-surrogate-loss-and-regularization-in-structured-prediction-1809.05550"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-clustering-for-graphs-1809.05578</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-clustering-for-graphs-1809.05578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-clustering-for-graphs-1809.05578"/></url>
<url><loc>https://scifaro.com/en/abs/non-iterative-recomputation-of-dense-layers-for-performance-improvement-of-dcnn-1809.05606</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-iterative-recomputation-of-dense-layers-for-performance-improvement-of-dcnn-1809.05606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-iterative-recomputation-of-dense-layers-for-performance-improvement-of-dcnn-1809.05606"/></url>
<url><loc>https://scifaro.com/en/abs/towards-better-interpretability-in-deep-q-networks-1809.05630</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-better-interpretability-in-deep-q-networks-1809.05630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-better-interpretability-in-deep-q-networks-1809.05630"/></url>
<url><loc>https://scifaro.com/en/abs/apk2vec-semi-supervised-multi-view-representation-learning-for-profiling-android-applications-1809.05693</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/apk2vec-semi-supervised-multi-view-representation-learning-for-profiling-android-applications-1809.05693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/apk2vec-semi-supervised-multi-view-representation-learning-for-profiling-android-applications-1809.05693"/></url>
<url><loc>https://scifaro.com/en/abs/alternate-estimation-of-a-classifier-and-the-class-prior-from-positive-and-unlabeled-data-1809.05710</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternate-estimation-of-a-classifier-and-the-class-prior-from-positive-and-unlabeled-data-1809.05710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternate-estimation-of-a-classifier-and-the-class-prior-from-positive-and-unlabeled-data-1809.05710"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-latent-travel-behaviour-characteristics-with-generative-machine-learning-1809.05781</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-latent-travel-behaviour-characteristics-with-generative-machine-learning-1809.05781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-latent-travel-behaviour-characteristics-with-generative-machine-learning-1809.05781"/></url>
<url><loc>https://scifaro.com/en/abs/ganvo-unsupervised-deep-monocular-visual-odometry-and-depth-estimation-with-generative-adversarial-networks-1809.05786</loc><lastmod>2020-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ganvo-unsupervised-deep-monocular-visual-odometry-and-depth-estimation-with-generative-adversarial-networks-1809.05786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ganvo-unsupervised-deep-monocular-visual-odometry-and-depth-estimation-with-generative-adversarial-networks-1809.05786"/></url>
<url><loc>https://scifaro.com/en/abs/mobility-mode-detection-using-wifi-signals-1809.05788</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mobility-mode-detection-using-wifi-signals-1809.05788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mobility-mode-detection-using-wifi-signals-1809.05788"/></url>
<url><loc>https://scifaro.com/en/abs/f-vaes-improve-vaes-with-conditional-flows-1809.05861</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/f-vaes-improve-vaes-with-conditional-flows-1809.05861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/f-vaes-improve-vaes-with-conditional-flows-1809.05861"/></url>
<url><loc>https://scifaro.com/en/abs/inspiration-learning-through-preferences-1809.05872</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inspiration-learning-through-preferences-1809.05872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inspiration-learning-through-preferences-1809.05872"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-analytics-framework-for-aggregate-data-analysis-1809.05877</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-analytics-framework-for-aggregate-data-analysis-1809.05877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-analytics-framework-for-aggregate-data-analysis-1809.05877"/></url>
<url><loc>https://scifaro.com/en/abs/an-fpga-accelerated-design-for-deep-learning-pedestrian-detection-in-self-driving-vehicles-1809.05879</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-fpga-accelerated-design-for-deep-learning-pedestrian-detection-in-self-driving-vehicles-1809.05879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-fpga-accelerated-design-for-deep-learning-pedestrian-detection-in-self-driving-vehicles-1809.05879"/></url>
<url><loc>https://scifaro.com/en/abs/classifying-process-instances-using-recurrent-neural-networks-1809.05896</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifying-process-instances-using-recurrent-neural-networks-1809.05896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifying-process-instances-using-recurrent-neural-networks-1809.05896"/></url>
<url><loc>https://scifaro.com/en/abs/meshcnn-a-network-with-an-edge-1809.05910</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meshcnn-a-network-with-an-edge-1809.05910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meshcnn-a-network-with-an-edge-1809.05910"/></url>
<url><loc>https://scifaro.com/en/abs/curriculum-based-neighborhood-sampling-for-sequence-prediction-1809.05916</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curriculum-based-neighborhood-sampling-for-sequence-prediction-1809.05916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curriculum-based-neighborhood-sampling-for-sequence-prediction-1809.05916"/></url>
<url><loc>https://scifaro.com/en/abs/memory-efficient-experience-replay-for-streaming-learning-1809.05922</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-efficient-experience-replay-for-streaming-learning-1809.05922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-efficient-experience-replay-for-streaming-learning-1809.05922"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-generative-model-for-semi-supervised-classification-with-noisy-labels-1809.05957</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-generative-model-for-semi-supervised-classification-with-noisy-labels-1809.05957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-generative-model-for-semi-supervised-classification-with-noisy-labels-1809.05957"/></url>
<url><loc>https://scifaro.com/en/abs/latent-space-optimal-transport-for-generative-models-1809.05964</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-space-optimal-transport-for-generative-models-1809.05964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-space-optimal-transport-for-generative-models-1809.05964"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-propagation-in-deep-neural-networks-using-extended-kalman-filtering-1809.06009</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-propagation-in-deep-neural-networks-using-extended-kalman-filtering-1809.06009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-propagation-in-deep-neural-networks-using-extended-kalman-filtering-1809.06009"/></url>
<url><loc>https://scifaro.com/en/abs/integrative-analysis-of-patient-health-records-and-neuroimages-via-memory-based-graph-convolutional-network-1809.06018</loc><lastmod>2019-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrative-analysis-of-patient-health-records-and-neuroimages-via-memory-based-graph-convolutional-network-1809.06018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrative-analysis-of-patient-health-records-and-neuroimages-via-memory-based-graph-convolutional-network-1809.06018"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-algorithms-for-sparse-sensor-placement-via-deep-learning-1809.06025</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-algorithms-for-sparse-sensor-placement-via-deep-learning-1809.06025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-algorithms-for-sparse-sensor-placement-via-deep-learning-1809.06025"/></url>
<url><loc>https://scifaro.com/en/abs/multi-player-bandits-a-trekking-approach-1809.06040</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-player-bandits-a-trekking-approach-1809.06040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-player-bandits-a-trekking-approach-1809.06040"/></url>
<url><loc>https://scifaro.com/en/abs/transparency-and-explanation-in-deep-reinforcement-learning-neural-networks-1809.06061</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transparency-and-explanation-in-deep-reinforcement-learning-neural-networks-1809.06061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transparency-and-explanation-in-deep-reinforcement-learning-neural-networks-1809.06061"/></url>
<url><loc>https://scifaro.com/en/abs/object-sensitive-deep-reinforcement-learning-1809.06064</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/object-sensitive-deep-reinforcement-learning-1809.06064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/object-sensitive-deep-reinforcement-learning-1809.06064"/></url>
<url><loc>https://scifaro.com/en/abs/policy-optimization-via-importance-sampling-1809.06098</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-optimization-via-importance-sampling-1809.06098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-optimization-via-importance-sampling-1809.06098"/></url>
<url><loc>https://scifaro.com/en/abs/muscle-excitation-estimation-in-biomechanical-simulation-using-naf-reinforcement-learning-1809.06121</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/muscle-excitation-estimation-in-biomechanical-simulation-using-naf-reinforcement-learning-1809.06121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/muscle-excitation-estimation-in-biomechanical-simulation-using-naf-reinforcement-learning-1809.06121"/></url>
<url><loc>https://scifaro.com/en/abs/span-error-bound-for-weighted-svm-with-applications-in-hyperparameter-selection-1809.06124</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/span-error-bound-for-weighted-svm-with-applications-in-hyperparameter-selection-1809.06124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/span-error-bound-for-weighted-svm-with-applications-in-hyperparameter-selection-1809.06124"/></url>
<url><loc>https://scifaro.com/en/abs/curriculum-goal-masking-for-continuous-deep-reinforcement-learning-1809.06146</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curriculum-goal-masking-for-continuous-deep-reinforcement-learning-1809.06146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curriculum-goal-masking-for-continuous-deep-reinforcement-learning-1809.06146"/></url>
<url><loc>https://scifaro.com/en/abs/dynamics-estimation-using-recurrent-neural-network-1809.06148</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamics-estimation-using-recurrent-neural-network-1809.06148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamics-estimation-using-recurrent-neural-network-1809.06148"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-for-icecube-signal-classification-1809.06166</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-for-icecube-signal-classification-1809.06166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-for-icecube-signal-classification-1809.06166"/></url>
<url><loc>https://scifaro.com/en/abs/study-and-observation-of-the-variation-of-accuracies-of-knn-svm-lmnn-enn-algorithms-on-eleven-different-datasets-from-uci-machine-learning-repository-1809.06186</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/study-and-observation-of-the-variation-of-accuracies-of-knn-svm-lmnn-enn-algorithms-on-eleven-different-datasets-from-uci-machine-learning-repository-1809.06186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/study-and-observation-of-the-variation-of-accuracies-of-knn-svm-lmnn-enn-algorithms-on-eleven-different-datasets-from-uci-machine-learning-repository-1809.06186"/></url>
<url><loc>https://scifaro.com/en/abs/adbscan-adaptive-density-based-spatial-clustering-of-applications-with-noise-for-identifying-clusters-with-varying-densities-1809.06189</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adbscan-adaptive-density-based-spatial-clustering-of-applications-with-noise-for-identifying-clusters-with-varying-densities-1809.06189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adbscan-adaptive-density-based-spatial-clustering-of-applications-with-noise-for-identifying-clusters-with-varying-densities-1809.06189"/></url>
<url><loc>https://scifaro.com/en/abs/multi-hop-assortativities-for-networks-classification-1809.06253</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-hop-assortativities-for-networks-classification-1809.06253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-hop-assortativities-for-networks-classification-1809.06253"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-across-multi-objective-reward-functions-in-deep-reinforcement-learning-1809.06364</loc><lastmod>2018-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-across-multi-objective-reward-functions-in-deep-reinforcement-learning-1809.06364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-across-multi-objective-reward-functions-in-deep-reinforcement-learning-1809.06364"/></url>
<url><loc>https://scifaro.com/en/abs/scattering-networks-for-hybrid-representation-learning-1809.06367</loc><lastmod>2018-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scattering-networks-for-hybrid-representation-learning-1809.06367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scattering-networks-for-hybrid-representation-learning-1809.06367"/></url>
<url><loc>https://scifaro.com/en/abs/hidden-markov-model-estimation-based-q-learning-for-partially-observable-markov-decision-process-1809.06401</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hidden-markov-model-estimation-based-q-learning-for-partially-observable-markov-decision-process-1809.06401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hidden-markov-model-estimation-based-q-learning-for-partially-observable-markov-decision-process-1809.06401"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-imitation-via-variational-inverse-reinforcement-learning-1809.06404</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-imitation-via-variational-inverse-reinforcement-learning-1809.06404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-imitation-via-variational-inverse-reinforcement-learning-1809.06404"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-guarantees-for-bayesian-inference-with-gaussian-processes-1809.06452</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-guarantees-for-bayesian-inference-with-gaussian-processes-1809.06452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-guarantees-for-bayesian-inference-with-gaussian-processes-1809.06452"/></url>
<url><loc>https://scifaro.com/en/abs/self-configuration-in-machine-learning-1809.06463</loc><lastmod>2018-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-configuration-in-machine-learning-1809.06463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-configuration-in-machine-learning-1809.06463"/></url>
<url><loc>https://scifaro.com/en/abs/towards-deep-and-representation-learning-for-talent-search-at-linkedin-1809.06473</loc><lastmod>2018-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-deep-and-representation-learning-for-talent-search-at-linkedin-1809.06473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-deep-and-representation-learning-for-talent-search-at-linkedin-1809.06473"/></url>
<url><loc>https://scifaro.com/en/abs/active-anomaly-detection-via-ensembles-1809.06477</loc><lastmod>2018-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-anomaly-detection-via-ensembles-1809.06477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-anomaly-detection-via-ensembles-1809.06477"/></url>
<url><loc>https://scifaro.com/en/abs/parameterless-stochastic-natural-gradient-method-for-discrete-optimization-and-its-application-to-hyper-parameter-optimization-for-neural-network-1809.06517</loc><lastmod>2018-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameterless-stochastic-natural-gradient-method-for-discrete-optimization-and-its-application-to-hyper-parameter-optimization-for-neural-network-1809.06517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameterless-stochastic-natural-gradient-method-for-discrete-optimization-and-its-application-to-hyper-parameter-optimization-for-neural-network-1809.06517"/></url>
<url><loc>https://scifaro.com/en/abs/mbs-macroblock-scaling-for-cnn-model-reduction-1809.06569</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mbs-macroblock-scaling-for-cnn-model-reduction-1809.06569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mbs-macroblock-scaling-for-cnn-model-reduction-1809.06569"/></url>
<url><loc>https://scifaro.com/en/abs/runtime-monitoring-neuron-activation-patterns-1809.06573</loc><lastmod>2018-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/runtime-monitoring-neuron-activation-patterns-1809.06573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/runtime-monitoring-neuron-activation-patterns-1809.06573"/></url>
<url><loc>https://scifaro.com/en/abs/is-rotation-forest-the-best-classifier-for-problems-with-continuous-features-1809.06705</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-rotation-forest-the-best-classifier-for-problems-with-continuous-features-1809.06705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-rotation-forest-the-best-classifier-for-problems-with-continuous-features-1809.06705"/></url>
<url><loc>https://scifaro.com/en/abs/improvements-on-hindsight-learning-1809.06719</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improvements-on-hindsight-learning-1809.06719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improvements-on-hindsight-learning-1809.06719"/></url>
<url><loc>https://scifaro.com/en/abs/from-bop-to-boss-and-beyond-time-series-classification-with-dictionary-based-classifiers-1809.06751</loc><lastmod>2024-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-bop-to-boss-and-beyond-time-series-classification-with-dictionary-based-classifiers-1809.06751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-bop-to-boss-and-beyond-time-series-classification-with-dictionary-based-classifiers-1809.06751"/></url>
<url><loc>https://scifaro.com/en/abs/visual-diagnostics-for-deep-reinforcement-learning-policy-development-1809.06781</loc><lastmod>2018-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-diagnostics-for-deep-reinforcement-learning-policy-development-1809.06781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-diagnostics-for-deep-reinforcement-learning-policy-development-1809.06781"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-reinforcement-learning-for-observer-design-in-autonomous-systems-under-cyber-attacks-1809.06784</loc><lastmod>2018-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-reinforcement-learning-for-observer-design-in-autonomous-systems-under-cyber-attacks-1809.06784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-reinforcement-learning-for-observer-design-in-autonomous-systems-under-cyber-attacks-1809.06784"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-learning-dynamics-of-deep-neural-networks-1809.06848</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-learning-dynamics-of-deep-neural-networks-1809.06848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-learning-dynamics-of-deep-neural-networks-1809.06848"/></url>
<url><loc>https://scifaro.com/en/abs/exploration-vs-exploitation-in-team-formation-1809.06937</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploration-vs-exploitation-in-team-formation-1809.06937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploration-vs-exploitation-in-team-formation-1809.06937"/></url>
<url><loc>https://scifaro.com/en/abs/graph-dependent-implicit-regularisation-for-distributed-stochastic-subgradient-descent-1809.06958</loc><lastmod>2018-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-dependent-implicit-regularisation-for-distributed-stochastic-subgradient-descent-1809.06958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-dependent-implicit-regularisation-for-distributed-stochastic-subgradient-descent-1809.06958"/></url>
<url><loc>https://scifaro.com/en/abs/fastdeepiot-towards-understanding-and-optimizing-neural-network-execution-time-on-mobile-and-embedded-devices-1809.06970</loc><lastmod>2018-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fastdeepiot-towards-understanding-and-optimizing-neural-network-execution-time-on-mobile-and-embedded-devices-1809.06970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fastdeepiot-towards-understanding-and-optimizing-neural-network-execution-time-on-mobile-and-embedded-devices-1809.06970"/></url>
<url><loc>https://scifaro.com/en/abs/aligning-manifolds-of-double-pendulum-dynamics-under-the-influence-of-noise-1809.06992</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aligning-manifolds-of-double-pendulum-dynamics-under-the-influence-of-noise-1809.06992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aligning-manifolds-of-double-pendulum-dynamics-under-the-influence-of-noise-1809.06992"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-reinforcement-learning-with-ensemble-methods-1809.06995</loc><lastmod>2018-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-reinforcement-learning-with-ensemble-methods-1809.06995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-reinforcement-learning-with-ensemble-methods-1809.06995"/></url>
<url><loc>https://scifaro.com/en/abs/using-eigencentrality-to-estimate-joint-conditional-and-marginal-probabilities-from-mixed-variable-data-method-and-applications-1809.07006</loc><lastmod>2018-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-eigencentrality-to-estimate-joint-conditional-and-marginal-probabilities-from-mixed-variable-data-method-and-applications-1809.07006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-eigencentrality-to-estimate-joint-conditional-and-marginal-probabilities-from-mixed-variable-data-method-and-applications-1809.07006"/></url>
<url><loc>https://scifaro.com/en/abs/removing-the-feature-correlation-effect-of-multiplicative-noise-1809.07023</loc><lastmod>2018-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/removing-the-feature-correlation-effect-of-multiplicative-noise-1809.07023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/removing-the-feature-correlation-effect-of-multiplicative-noise-1809.07023"/></url>
<url><loc>https://scifaro.com/en/abs/new-approach-for-solar-tracking-systems-based-on-computer-vision-low-cost-hardware-and-deep-learning-1809.07048</loc><lastmod>2018-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-approach-for-solar-tracking-systems-based-on-computer-vision-low-cost-hardware-and-deep-learning-1809.07048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-approach-for-solar-tracking-systems-based-on-computer-vision-low-cost-hardware-and-deep-learning-1809.07048"/></url>
<url><loc>https://scifaro.com/en/abs/prosocial-or-selfish-agents-with-different-behaviors-for-contract-negotiation-using-reinforcement-learning-1809.07066</loc><lastmod>2018-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prosocial-or-selfish-agents-with-different-behaviors-for-contract-negotiation-using-reinforcement-learning-1809.07066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prosocial-or-selfish-agents-with-different-behaviors-for-contract-negotiation-using-reinforcement-learning-1809.07066"/></url>
<url><loc>https://scifaro.com/en/abs/capacity-control-of-relu-neural-networks-by-basis-path-norm-1809.07122</loc><lastmod>2019-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capacity-control-of-relu-neural-networks-by-basis-path-norm-1809.07122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capacity-control-of-relu-neural-networks-by-basis-path-norm-1809.07122"/></url>
<url><loc>https://scifaro.com/en/abs/mtle-a-multitask-learning-encoder-of-visual-feature-representations-for-video-and-movie-description-1809.07257</loc><lastmod>2018-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mtle-a-multitask-learning-encoder-of-visual-feature-representations-for-video-and-movie-description-1809.07257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mtle-a-multitask-learning-encoder-of-visual-feature-representations-for-video-and-movie-description-1809.07257"/></url>
<url><loc>https://scifaro.com/en/abs/dppy-sampling-dpps-with-python-1809.07258</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dppy-sampling-dpps-with-python-1809.07258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dppy-sampling-dpps-with-python-1809.07258"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-functional-optimisation-with-shape-prior-1809.07260</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-functional-optimisation-with-shape-prior-1809.07260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-functional-optimisation-with-shape-prior-1809.07260"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-online-discourse-with-coupled-distributed-topics-1809.07282</loc><lastmod>2020-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-online-discourse-with-coupled-distributed-topics-1809.07282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-online-discourse-with-coupled-distributed-topics-1809.07282"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-and-structural-results-for-gamma-psi-dimensions-1809.07310</loc><lastmod>2020-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-and-structural-results-for-gamma-psi-dimensions-1809.07310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-and-structural-results-for-gamma-psi-dimensions-1809.07310"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-representer-theorem-for-hilbert-space-valued-functions-1809.07347</loc><lastmod>2018-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-representer-theorem-for-hilbert-space-valued-functions-1809.07347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-representer-theorem-for-hilbert-space-valued-functions-1809.07347"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-generalization-properties-in-neural-networks-1809.07402</loc><lastmod>2018-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-generalization-properties-in-neural-networks-1809.07402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-generalization-properties-in-neural-networks-1809.07402"/></url>
<url><loc>https://scifaro.com/en/abs/distances-for-wifi-based-topological-indoor-mapping-1809.07405</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distances-for-wifi-based-topological-indoor-mapping-1809.07405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distances-for-wifi-based-topological-indoor-mapping-1809.07405"/></url>
<url><loc>https://scifaro.com/en/abs/learning-planning-and-control-in-a-monolithic-neural-event-inference-architecture-1809.07412</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-planning-and-control-in-a-monolithic-neural-event-inference-architecture-1809.07412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-planning-and-control-in-a-monolithic-neural-event-inference-architecture-1809.07412"/></url>
<url><loc>https://scifaro.com/en/abs/towards-accountable-ai-hybrid-human-machine-analyses-for-characterizing-system-failure-1809.07424</loc><lastmod>2018-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-accountable-ai-hybrid-human-machine-analyses-for-characterizing-system-failure-1809.07424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-accountable-ai-hybrid-human-machine-analyses-for-characterizing-system-failure-1809.07424"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-distillation-learning-compact-ranking-models-with-high-performance-for-recommender-system-1809.07428</loc><lastmod>2018-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-distillation-learning-compact-ranking-models-with-high-performance-for-recommender-system-1809.07428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-distillation-learning-compact-ranking-models-with-high-performance-for-recommender-system-1809.07428"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-periodicity-with-temporal-difference-learning-1809.07435</loc><lastmod>2018-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-periodicity-with-temporal-difference-learning-1809.07435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-periodicity-with-temporal-difference-learning-1809.07435"/></url>
<url><loc>https://scifaro.com/en/abs/sim-to-real-transfer-of-robot-learning-with-variable-length-inputs-1809.07480</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sim-to-real-transfer-of-robot-learning-with-variable-length-inputs-1809.07480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sim-to-real-transfer-of-robot-learning-with-variable-length-inputs-1809.07480"/></url>
<url><loc>https://scifaro.com/en/abs/time-is-of-the-essence-machine-learning-based-intrusion-detection-in-industrial-time-series-data-1809.07500</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-is-of-the-essence-machine-learning-based-intrusion-detection-in-industrial-time-series-data-1809.07500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-is-of-the-essence-machine-learning-based-intrusion-detection-in-industrial-time-series-data-1809.07500"/></url>
<url><loc>https://scifaro.com/en/abs/sparsified-sgd-with-memory-1809.07599</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsified-sgd-with-memory-1809.07599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsified-sgd-with-memory-1809.07599"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-semi-linear-pdes-1809.07609</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-semi-linear-pdes-1809.07609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-semi-linear-pdes-1809.07609"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-reinforcement-learning-algorithms-on-real-world-robots-1809.07731</loc><lastmod>2018-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-reinforcement-learning-algorithms-on-real-world-robots-1809.07731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-reinforcement-learning-algorithms-on-real-world-robots-1809.07731"/></url>
<url><loc>https://scifaro.com/en/abs/playing-the-game-of-universal-adversarial-perturbations-1809.07802</loc><lastmod>2018-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/playing-the-game-of-universal-adversarial-perturbations-1809.07802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/playing-the-game-of-universal-adversarial-perturbations-1809.07802"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-weights-in-multi-objective-deep-reinforcement-learning-1809.07803</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-weights-in-multi-objective-deep-reinforcement-learning-1809.07803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-weights-in-multi-objective-deep-reinforcement-learning-1809.07803"/></url>
<url><loc>https://scifaro.com/en/abs/logically-constrained-neural-fitted-q-iteration-1809.07823</loc><lastmod>2019-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logically-constrained-neural-fitted-q-iteration-1809.07823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logically-constrained-neural-fitted-q-iteration-1809.07823"/></url>
<url><loc>https://scifaro.com/en/abs/metric-learning-for-phoneme-perception-1809.07824</loc><lastmod>2018-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-learning-for-phoneme-perception-1809.07824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-learning-for-phoneme-perception-1809.07824"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-networks-based-obesity-status-prediction-using-activity-data-1809.07828</loc><lastmod>2018-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-networks-based-obesity-status-prediction-using-activity-data-1809.07828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-networks-based-obesity-status-prediction-using-activity-data-1809.07828"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-rule-learning-for-autonomous-driving-using-semantic-memory-1809.07904</loc><lastmod>2018-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-rule-learning-for-autonomous-driving-using-semantic-memory-1809.07904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-rule-learning-for-autonomous-driving-using-semantic-memory-1809.07904"/></url>
<url><loc>https://scifaro.com/en/abs/a-discriminative-model-for-identifying-readers-and-assessing-text-comprehension-from-eye-movements-1809.08031</loc><lastmod>2018-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-discriminative-model-for-identifying-readers-and-assessing-text-comprehension-from-eye-movements-1809.08031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-discriminative-model-for-identifying-readers-and-assessing-text-comprehension-from-eye-movements-1809.08031"/></url>
<url><loc>https://scifaro.com/en/abs/learning-of-tree-structured-gaussian-graphical-models-on-distributed-data-under-communication-constraints-1809.08067</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-of-tree-structured-gaussian-graphical-models-on-distributed-data-under-communication-constraints-1809.08067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-of-tree-structured-gaussian-graphical-models-on-distributed-data-under-communication-constraints-1809.08067"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-cognitive-networks-flexible-reasoning-and-nonsynaptic-learning-1809.08085</loc><lastmod>2018-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-cognitive-networks-flexible-reasoning-and-nonsynaptic-learning-1809.08085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-cognitive-networks-flexible-reasoning-and-nonsynaptic-learning-1809.08085"/></url>
<url><loc>https://scifaro.com/en/abs/power-market-price-forecasting-via-deep-learning-1809.08092</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-market-price-forecasting-via-deep-learning-1809.08092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-market-price-forecasting-via-deep-learning-1809.08092"/></url>
<url><loc>https://scifaro.com/en/abs/deep-domain-adaptation-under-deep-label-scarcity-1809.08097</loc><lastmod>2018-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-domain-adaptation-under-deep-label-scarcity-1809.08097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-domain-adaptation-under-deep-label-scarcity-1809.08097"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-formal-safety-analysis-of-neural-networks-1809.08098</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-formal-safety-analysis-of-neural-networks-1809.08098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-formal-safety-analysis-of-neural-networks-1809.08098"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-networks-for-open-set-learning-1809.08106</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-networks-for-open-set-learning-1809.08106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-networks-for-open-set-learning-1809.08106"/></url>
<url><loc>https://scifaro.com/en/abs/human-activity-recognition-based-on-time-series-analysis-using-u-net-1809.08113</loc><lastmod>2018-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-activity-recognition-based-on-time-series-analysis-using-u-net-1809.08113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-activity-recognition-based-on-time-series-analysis-using-u-net-1809.08113"/></url>
<url><loc>https://scifaro.com/en/abs/sic-mmab-synchronisation-involves-communication-in-multiplayer-multi-armed-bandits-1809.08151</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sic-mmab-synchronisation-involves-communication-in-multiplayer-multi-armed-bandits-1809.08151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sic-mmab-synchronisation-involves-communication-in-multiplayer-multi-armed-bandits-1809.08151"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-multi-objective-reinforcement-learning-through-policy-orchestration-1809.08343</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-multi-objective-reinforcement-learning-through-policy-orchestration-1809.08343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-multi-objective-reinforcement-learning-through-policy-orchestration-1809.08343"/></url>
<url><loc>https://scifaro.com/en/abs/a-meta-learning-approach-for-custom-model-training-1809.08346</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-meta-learning-approach-for-custom-model-training-1809.08346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-meta-learning-approach-for-custom-model-training-1809.08346"/></url>
<url><loc>https://scifaro.com/en/abs/cpmetric-deep-siamese-networks-for-learning-distances-between-structured-preferences-1809.08350</loc><lastmod>2020-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cpmetric-deep-siamese-networks-for-learning-distances-between-structured-preferences-1809.08350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cpmetric-deep-siamese-networks-for-learning-distances-between-structured-preferences-1809.08350"/></url>
<url><loc>https://scifaro.com/en/abs/comment-on-all-optical-machine-learning-using-diffractive-deep-neural-networks-1809.08360</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comment-on-all-optical-machine-learning-using-diffractive-deep-neural-networks-1809.08360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comment-on-all-optical-machine-learning-using-diffractive-deep-neural-networks-1809.08360"/></url>
<url><loc>https://scifaro.com/en/abs/variational-collaborative-learning-for-user-probabilistic-representation-1809.08400</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-collaborative-learning-for-user-probabilistic-representation-1809.08400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-collaborative-learning-for-user-probabilistic-representation-1809.08400"/></url>
<url><loc>https://scifaro.com/en/abs/implementation-of-fuzzy-c-means-and-possibilistic-c-means-clustering-algorithms-cluster-tendency-analysis-and-cluster-validation-1809.08417</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementation-of-fuzzy-c-means-and-possibilistic-c-means-clustering-algorithms-cluster-tendency-analysis-and-cluster-validation-1809.08417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementation-of-fuzzy-c-means-and-possibilistic-c-means-clustering-algorithms-cluster-tendency-analysis-and-cluster-validation-1809.08417"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-defense-via-data-dependent-activation-function-and-total-variation-minimization-1809.08516</loc><lastmod>2020-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-defense-via-data-dependent-activation-function-and-total-variation-minimization-1809.08516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-defense-via-data-dependent-activation-function-and-total-variation-minimization-1809.08516"/></url>
<url><loc>https://scifaro.com/en/abs/dt-let-deep-transfer-learning-by-exploring-where-to-transfer-1809.08541</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dt-let-deep-transfer-learning-by-exploring-where-to-transfer-1809.08541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dt-let-deep-transfer-learning-by-exploring-where-to-transfer-1809.08541"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-convergence-time-of-gradient-descent-for-one-dimensional-deep-linear-neural-networks-1809.08587</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-convergence-time-of-gradient-descent-for-one-dimensional-deep-linear-neural-networks-1809.08587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-convergence-time-of-gradient-descent-for-one-dimensional-deep-linear-neural-networks-1809.08587"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-design-exploring-new-structural-forms-using-machine-learning-and-graphic-statics-1809.08660</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-design-exploring-new-structural-forms-using-machine-learning-and-graphic-statics-1809.08660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-design-exploring-new-structural-forms-using-machine-learning-and-graphic-statics-1809.08660"/></url>
<url><loc>https://scifaro.com/en/abs/envy-free-classification-1809.08700</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/envy-free-classification-1809.08700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/envy-free-classification-1809.08700"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-behavior-of-the-expectation-maximization-algorithm-for-mixture-models-1809.08705</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-behavior-of-the-expectation-maximization-algorithm-for-mixture-models-1809.08705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-behavior-of-the-expectation-maximization-algorithm-for-mixture-models-1809.08705"/></url>
<url><loc>https://scifaro.com/en/abs/norm-ranging-lsh-for-maximum-inner-product-search-1809.08782</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/norm-ranging-lsh-for-maximum-inner-product-search-1809.08782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/norm-ranging-lsh-for-maximum-inner-product-search-1809.08782"/></url>
<url><loc>https://scifaro.com/en/abs/person-identification-using-seismic-signals-generated-from-footfalls-1809.08783</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/person-identification-using-seismic-signals-generated-from-footfalls-1809.08783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/person-identification-using-seismic-signals-generated-from-footfalls-1809.08783"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-compressive-adversarial-privacy-1809.08911</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-compressive-adversarial-privacy-1809.08911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-compressive-adversarial-privacy-1809.08911"/></url>
<url><loc>https://scifaro.com/en/abs/target-transfer-q-learning-and-its-convergence-analysis-1809.08923</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/target-transfer-q-learning-and-its-convergence-analysis-1809.08923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/target-transfer-q-learning-and-its-convergence-analysis-1809.08923"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-exploration-and-recovery-from-experience-shaping-1809.08925</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-exploration-and-recovery-from-experience-shaping-1809.08925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-exploration-and-recovery-from-experience-shaping-1809.08925"/></url>
<url><loc>https://scifaro.com/en/abs/finite-sample-analysis-of-the-gtd-policy-evaluation-algorithms-in-markov-setting-1809.08926</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-sample-analysis-of-the-gtd-policy-evaluation-algorithms-in-markov-setting-1809.08926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-sample-analysis-of-the-gtd-policy-evaluation-algorithms-in-markov-setting-1809.08926"/></url>
<url><loc>https://scifaro.com/en/abs/fast-geometrically-perturbed-adversarial-faces-1809.08999</loc><lastmod>2018-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-geometrically-perturbed-adversarial-faces-1809.08999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-geometrically-perturbed-adversarial-faces-1809.08999"/></url>
<url><loc>https://scifaro.com/en/abs/sdn-flow-entry-management-using-reinforcement-learning-1809.09003</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sdn-flow-entry-management-using-reinforcement-learning-1809.09003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sdn-flow-entry-management-using-reinforcement-learning-1809.09003"/></url>
<url><loc>https://scifaro.com/en/abs/deep-confidence-a-computationally-efficient-framework-for-calculating-reliable-errors-for-deep-neural-networks-1809.09060</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-confidence-a-computationally-efficient-framework-for-calculating-reliable-errors-for-deep-neural-networks-1809.09060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-confidence-a-computationally-efficient-framework-for-calculating-reliable-errors-for-deep-neural-networks-1809.09060"/></url>
<url><loc>https://scifaro.com/en/abs/autonomous-deep-learning-incremental-learning-of-denoising-autoencoder-for-evolving-data-streams-1809.09081</loc><lastmod>2018-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autonomous-deep-learning-incremental-learning-of-denoising-autoencoder-for-evolving-data-streams-1809.09081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autonomous-deep-learning-incremental-learning-of-denoising-autoencoder-for-evolving-data-streams-1809.09081"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-maximum-likelihood-estimation-1809.09087</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-maximum-likelihood-estimation-1809.09087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-maximum-likelihood-estimation-1809.09087"/></url>
<url><loc>https://scifaro.com/en/abs/on-reinforcement-learning-for-full-length-game-of-starcraft-1809.09095</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-reinforcement-learning-for-full-length-game-of-starcraft-1809.09095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-reinforcement-learning-for-full-length-game-of-starcraft-1809.09095"/></url>
<url><loc>https://scifaro.com/en/abs/epirl-a-reinforcement-learning-agent-to-facilitate-epistasis-detection-1809.09143</loc><lastmod>2018-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/epirl-a-reinforcement-learning-agent-to-facilitate-epistasis-detection-1809.09143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/epirl-a-reinforcement-learning-agent-to-facilitate-epistasis-detection-1809.09143"/></url>
<url><loc>https://scifaro.com/en/abs/better-safe-than-sorry-evidence-accumulation-allows-for-safe-reinforcement-learning-1809.09147</loc><lastmod>2018-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-safe-than-sorry-evidence-accumulation-allows-for-safe-reinforcement-learning-1809.09147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-safe-than-sorry-evidence-accumulation-allows-for-safe-reinforcement-learning-1809.09147"/></url>
<url><loc>https://scifaro.com/en/abs/locally-private-learning-without-interaction-requires-separation-1809.09165</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-private-learning-without-interaction-requires-separation-1809.09165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-private-learning-without-interaction-requires-separation-1809.09165"/></url>
<url><loc>https://scifaro.com/en/abs/no-multiplication-no-floating-point-no-problem-training-networks-for-efficient-inference-1809.09244</loc><lastmod>2018-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-multiplication-no-floating-point-no-problem-training-networks-for-efficient-inference-1809.09244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-multiplication-no-floating-point-no-problem-training-networks-for-efficient-inference-1809.09244"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-fairness-metrics-in-the-presence-of-dataset-bias-1809.09245</loc><lastmod>2018-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-fairness-metrics-in-the-presence-of-dataset-bias-1809.09245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-fairness-metrics-in-the-presence-of-dataset-bias-1809.09245"/></url>
<url><loc>https://scifaro.com/en/abs/low-precision-policy-distillation-with-application-to-low-power-real-time-sensation-cognition-action-loop-with-neuromorphic-computing-1809.09260</loc><lastmod>2018-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-precision-policy-distillation-with-application-to-low-power-real-time-sensation-cognition-action-loop-with-neuromorphic-computing-1809.09260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-precision-policy-distillation-with-application-to-low-power-real-time-sensation-cognition-action-loop-with-neuromorphic-computing-1809.09260"/></url>
<url><loc>https://scifaro.com/en/abs/utilizing-class-information-for-deep-network-representation-shaping-1809.09307</loc><lastmod>2019-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/utilizing-class-information-for-deep-network-representation-shaping-1809.09307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/utilizing-class-information-for-deep-network-representation-shaping-1809.09307"/></url>
<url><loc>https://scifaro.com/en/abs/floyd-warshall-reinforcement-learning-learning-from-past-experiences-to-reach-new-goals-1809.09318</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/floyd-warshall-reinforcement-learning-learning-from-past-experiences-to-reach-new-goals-1809.09318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/floyd-warshall-reinforcement-learning-learning-from-past-experiences-to-reach-new-goals-1809.09318"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-deep-multiagent-reinforcement-learning-with-temporal-abstraction-1809.09332</loc><lastmod>2019-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-deep-multiagent-reinforcement-learning-with-temporal-abstraction-1809.09332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-deep-multiagent-reinforcement-learning-with-temporal-abstraction-1809.09332"/></url>
<url><loc>https://scifaro.com/en/abs/fully-implicit-online-learning-1809.09350</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-implicit-online-learning-1809.09350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-implicit-online-learning-1809.09350"/></url>
<url><loc>https://scifaro.com/en/abs/s-rl-toolbox-environments-datasets-and-evaluation-metrics-for-state-representation-learning-1809.09369</loc><lastmod>2018-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/s-rl-toolbox-environments-datasets-and-evaluation-metrics-for-state-representation-learning-1809.09369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/s-rl-toolbox-environments-datasets-and-evaluation-metrics-for-state-representation-learning-1809.09369"/></url>
<url><loc>https://scifaro.com/en/abs/non-iterative-knowledge-fusion-in-deep-convolutional-neural-networks-1809.09399</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-iterative-knowledge-fusion-in-deep-convolutional-neural-networks-1809.09399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-iterative-knowledge-fusion-in-deep-convolutional-neural-networks-1809.09399"/></url>
<url><loc>https://scifaro.com/en/abs/hypergraph-neural-networks-1809.09401</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypergraph-neural-networks-1809.09401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypergraph-neural-networks-1809.09401"/></url>
<url><loc>https://scifaro.com/en/abs/nested-cross-validation-when-selecting-classifiers-is-overzealous-for-most-practical-applications-1809.09446</loc><lastmod>2018-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-cross-validation-when-selecting-classifiers-is-overzealous-for-most-practical-applications-1809.09446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-cross-validation-when-selecting-classifiers-is-overzealous-for-most-practical-applications-1809.09446"/></url>
<url><loc>https://scifaro.com/en/abs/anderson-acceleration-for-reinforcement-learning-1809.09501</loc><lastmod>2018-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anderson-acceleration-for-reinforcement-learning-1809.09501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anderson-acceleration-for-reinforcement-learning-1809.09501"/></url>
<url><loc>https://scifaro.com/en/abs/tangent-automatic-differentiation-using-source-code-transformation-for-dynamically-typed-array-programming-1809.09569</loc><lastmod>2018-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tangent-automatic-differentiation-using-source-code-transformation-for-dynamically-typed-array-programming-1809.09569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tangent-automatic-differentiation-using-source-code-transformation-for-dynamically-typed-array-programming-1809.09569"/></url>
<url><loc>https://scifaro.com/en/abs/nonconvex-optimization-meets-low-rank-matrix-factorization-an-overview-1809.09573</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonconvex-optimization-meets-low-rank-matrix-factorization-an-overview-1809.09573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonconvex-optimization-meets-low-rank-matrix-factorization-an-overview-1809.09573"/></url>
<url><loc>https://scifaro.com/en/abs/combined-convolutional-and-recurrent-neural-networks-for-hierarchical-classification-of-images-1809.09574</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combined-convolutional-and-recurrent-neural-networks-for-hierarchical-classification-of-images-1809.09574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combined-convolutional-and-recurrent-neural-networks-for-hierarchical-classification-of-images-1809.09574"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-bandits-with-cross-learning-1809.09582</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-bandits-with-cross-learning-1809.09582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-bandits-with-cross-learning-1809.09582"/></url>
<url><loc>https://scifaro.com/en/abs/a-gradient-based-split-criterion-for-highly-accurate-and-transparent-model-trees-1809.09703</loc><lastmod>2019-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gradient-based-split-criterion-for-highly-accurate-and-transparent-model-trees-1809.09703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gradient-based-split-criterion-for-highly-accurate-and-transparent-model-trees-1809.09703"/></url>
<url><loc>https://scifaro.com/en/abs/surface-type-estimation-from-gps-tracked-bicycle-activities-1809.09745</loc><lastmod>2018-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surface-type-estimation-from-gps-tracked-bicycle-activities-1809.09745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surface-type-estimation-from-gps-tracked-bicycle-activities-1809.09745"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-properties-of-hyper-rkhs-and-its-applications-1809.09910</loc><lastmod>2022-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-properties-of-hyper-rkhs-and-its-applications-1809.09910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-properties-of-hyper-rkhs-and-its-applications-1809.09910"/></url>
<url><loc>https://scifaro.com/en/abs/every-node-counts-self-ensembling-graph-convolutional-networks-for-semi-supervised-learning-1809.09925</loc><lastmod>2018-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/every-node-counts-self-ensembling-graph-convolutional-networks-for-semi-supervised-learning-1809.09925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/every-node-counts-self-ensembling-graph-convolutional-networks-for-semi-supervised-learning-1809.09925"/></url>
<url><loc>https://scifaro.com/en/abs/towards-efficient-and-secure-delivery-of-data-for-training-and-inference-with-privacy-preserving-1809.09968</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-efficient-and-secure-delivery-of-data-for-training-and-inference-with-privacy-preserving-1809.09968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-efficient-and-secure-delivery-of-data-for-training-and-inference-with-privacy-preserving-1809.09968"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-online-stacked-ensemble-for-multi-label-stream-classification-1809.09994</loc><lastmod>2018-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-online-stacked-ensemble-for-multi-label-stream-classification-1809.09994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-online-stacked-ensemble-for-multi-label-stream-classification-1809.09994"/></url>
<url><loc>https://scifaro.com/en/abs/rediscovering-deep-neural-networks-through-finite-state-distributions-1809.10073</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rediscovering-deep-neural-networks-through-finite-state-distributions-1809.10073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rediscovering-deep-neural-networks-through-finite-state-distributions-1809.10073"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-adversarial-invariance-1809.10083</loc><lastmod>2018-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-adversarial-invariance-1809.10083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-adversarial-invariance-1809.10083"/></url>
<url><loc>https://scifaro.com/en/abs/from-classical-to-generalized-zero-shot-learning-a-simple-adaptation-process-1809.10120</loc><lastmod>2019-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-classical-to-generalized-zero-shot-learning-a-simple-adaptation-process-1809.10120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-classical-to-generalized-zero-shot-learning-a-simple-adaptation-process-1809.10120"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-for-pca-and-music-algorithms-with-unknown-number-of-sources-1809.10168</loc><lastmod>2018-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-for-pca-and-music-algorithms-with-unknown-number-of-sources-1809.10168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-for-pca-and-music-algorithms-with-unknown-number-of-sources-1809.10168"/></url>
<url><loc>https://scifaro.com/en/abs/high-performance-zero-memory-overhead-direct-convolutions-1809.10170</loc><lastmod>2018-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-performance-zero-memory-overhead-direct-convolutions-1809.10170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-performance-zero-memory-overhead-direct-convolutions-1809.10170"/></url>
<url><loc>https://scifaro.com/en/abs/monge-amp-ere-flow-for-generative-modeling-1809.10188</loc><lastmod>2018-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monge-amp-ere-flow-for-generative-modeling-1809.10188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monge-amp-ere-flow-for-generative-modeling-1809.10188"/></url>
<url><loc>https://scifaro.com/en/abs/a-kernel-for-multi-parameter-persistent-homology-1809.10231</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kernel-for-multi-parameter-persistent-homology-1809.10231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kernel-for-multi-parameter-persistent-homology-1809.10231"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-simulation-to-real-transfer-by-learning-composable-robot-skills-1809.10253</loc><lastmod>2018-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-simulation-to-real-transfer-by-learning-composable-robot-skills-1809.10253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-simulation-to-real-transfer-by-learning-composable-robot-skills-1809.10253"/></url>
<url><loc>https://scifaro.com/en/abs/batch-normalized-recurrent-highway-networks-1809.10271</loc><lastmod>2018-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-normalized-recurrent-highway-networks-1809.10271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-normalized-recurrent-highway-networks-1809.10271"/></url>
<url><loc>https://scifaro.com/en/abs/semantically-invariant-text-to-image-generation-1809.10274</loc><lastmod>2018-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantically-invariant-text-to-image-generation-1809.10274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantically-invariant-text-to-image-generation-1809.10274"/></url>
<url><loc>https://scifaro.com/en/abs/vector-learning-for-cross-domain-representations-1809.10312</loc><lastmod>2018-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vector-learning-for-cross-domain-representations-1809.10312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vector-learning-for-cross-domain-representations-1809.10312"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-inter-layer-propagation-of-stabilized-neural-networks-for-classification-1809.10315</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-inter-layer-propagation-of-stabilized-neural-networks-for-classification-1809.10315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-inter-layer-propagation-of-stabilized-neural-networks-for-classification-1809.10315"/></url>
<url><loc>https://scifaro.com/en/abs/using-autoencoders-to-learn-interesting-features-for-detecting-surveillance-aircraft-1809.10333</loc><lastmod>2018-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-autoencoders-to-learn-interesting-features-for-detecting-surveillance-aircraft-1809.10333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-autoencoders-to-learn-interesting-features-for-detecting-surveillance-aircraft-1809.10333"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-for-financial-forecasting-1809.10336</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-for-financial-forecasting-1809.10336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-for-financial-forecasting-1809.10336"/></url>
<url><loc>https://scifaro.com/en/abs/queue-based-resampling-for-online-class-imbalance-learning-1809.10388</loc><lastmod>2020-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/queue-based-resampling-for-online-class-imbalance-learning-1809.10388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/queue-based-resampling-for-online-class-imbalance-learning-1809.10388"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-adaptive-text-to-speech-1809.10460</loc><lastmod>2019-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-adaptive-text-to-speech-1809.10460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-adaptive-text-to-speech-1809.10460"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-train-a-binary-neural-network-1809.10463</loc><lastmod>2018-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-train-a-binary-neural-network-1809.10463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-train-a-binary-neural-network-1809.10463"/></url>
<url><loc>https://scifaro.com/en/abs/fast-stochastic-algorithms-for-low-rank-and-nonsmooth-matrix-problems-1809.10477</loc><lastmod>2018-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-stochastic-algorithms-for-low-rank-and-nonsmooth-matrix-problems-1809.10477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-stochastic-algorithms-for-low-rank-and-nonsmooth-matrix-problems-1809.10477"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-regret-minimization-of-nonconvex-online-gradient-ascent-for-online-pca-1809.10491</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-regret-minimization-of-nonconvex-online-gradient-ascent-for-online-pca-1809.10491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-regret-minimization-of-nonconvex-online-gradient-ascent-for-online-pca-1809.10491"/></url>
<url><loc>https://scifaro.com/en/abs/the-convergence-of-sparsified-gradient-methods-1809.10505</loc><lastmod>2018-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-convergence-of-sparsified-gradient-methods-1809.10505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-convergence-of-sparsified-gradient-methods-1809.10505"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-active-learning-framework-for-classification-using-weighted-rank-aggregation-to-achieve-multiple-query-criteria-1809.10565</loc><lastmod>2018-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-active-learning-framework-for-classification-using-weighted-rank-aggregation-to-achieve-multiple-query-criteria-1809.10565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-active-learning-framework-for-classification-using-weighted-rank-aggregation-to-achieve-multiple-query-criteria-1809.10565"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-fairness-in-text-classification-through-robustness-1809.10610</loc><lastmod>2019-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-fairness-in-text-classification-through-robustness-1809.10610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-fairness-in-text-classification-through-robustness-1809.10610"/></url>
<url><loc>https://scifaro.com/en/abs/a-successive-elimination-approach-to-adaptive-robotic-sensing-1809.10611</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-successive-elimination-approach-to-adaptive-robotic-sensing-1809.10611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-successive-elimination-approach-to-adaptive-robotic-sensing-1809.10611"/></url>
<url><loc>https://scifaro.com/en/abs/generative-replay-with-feedback-connections-as-a-general-strategy-for-continual-learning-1809.10635</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-replay-with-feedback-connections-as-a-general-strategy-for-continual-learning-1809.10635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-replay-with-feedback-connections-as-a-general-strategy-for-continual-learning-1809.10635"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-coordinate-multiple-reinforcement-learning-agents-for-diverse-query-reformulation-1809.10658</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-coordinate-multiple-reinforcement-learning-agents-for-diverse-query-reformulation-1809.10658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-coordinate-multiple-reinforcement-learning-agents-for-diverse-query-reformulation-1809.10658"/></url>
<url><loc>https://scifaro.com/en/abs/introducing-noise-in-decentralized-training-of-neural-networks-1809.10678</loc><lastmod>2018-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introducing-noise-in-decentralized-training-of-neural-networks-1809.10678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introducing-noise-in-decentralized-training-of-neural-networks-1809.10678"/></url>
<url><loc>https://scifaro.com/en/abs/definition-and-evaluation-of-model-free-coordination-of-electrical-vehicle-charging-with-reinforcement-learning-1809.10679</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/definition-and-evaluation-of-model-free-coordination-of-electrical-vehicle-charging-with-reinforcement-learning-1809.10679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/definition-and-evaluation-of-model-free-coordination-of-electrical-vehicle-charging-with-reinforcement-learning-1809.10679"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-nonnegative-matrix-factorization-to-predict-icu-mortality-risk-1809.10680</loc><lastmod>2018-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-nonnegative-matrix-factorization-to-predict-icu-mortality-risk-1809.10680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-nonnegative-matrix-factorization-to-predict-icu-mortality-risk-1809.10680"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-loss-landscape-of-a-class-of-deep-neural-networks-with-no-bad-local-valleys-1809.10749</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-loss-landscape-of-a-class-of-deep-neural-networks-with-no-bad-local-valleys-1809.10749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-loss-landscape-of-a-class-of-deep-neural-networks-with-no-bad-local-valleys-1809.10749"/></url>
<url><loc>https://scifaro.com/en/abs/morpho-mnist-quantitative-assessment-and-diagnostics-for-representation-learning-1809.10780</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/morpho-mnist-quantitative-assessment-and-diagnostics-for-representation-learning-1809.10780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/morpho-mnist-quantitative-assessment-and-diagnostics-for-representation-learning-1809.10780"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-comparison-of-syllabuses-for-curriculum-learning-1809.10789</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-comparison-of-syllabuses-for-curriculum-learning-1809.10789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-comparison-of-syllabuses-for-curriculum-learning-1809.10789"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-personalized-effects-associated-with-causal-pathways-1809.10791</loc><lastmod>2018-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-personalized-effects-associated-with-causal-pathways-1809.10791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-personalized-effects-associated-with-causal-pathways-1809.10791"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-active-learning-for-unsupervised-outlier-detection-1809.10816</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-active-learning-for-unsupervised-outlier-detection-1809.10816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-active-learning-for-unsupervised-outlier-detection-1809.10816"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretical-framework-for-deep-locally-connected-relu-network-1809.10829</loc><lastmod>2018-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-framework-for-deep-locally-connected-relu-network-1809.10829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-framework-for-deep-locally-connected-relu-network-1809.10829"/></url>
<url><loc>https://scifaro.com/en/abs/embedded-state-latent-conditional-random-fields-for-sequence-labeling-1809.10835</loc><lastmod>2018-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedded-state-latent-conditional-random-fields-for-sequence-labeling-1809.10835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedded-state-latent-conditional-random-fields-for-sequence-labeling-1809.10835"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-planning-with-a-semantic-model-1809.10842</loc><lastmod>2018-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-planning-with-a-semantic-model-1809.10842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-planning-with-a-semantic-model-1809.10842"/></url>
<url><loc>https://scifaro.com/en/abs/using-multi-task-and-transfer-learning-to-solve-working-memory-tasks-1809.10847</loc><lastmod>2018-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-multi-task-and-transfer-learning-to-solve-working-memory-tasks-1809.10847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-multi-task-and-transfer-learning-to-solve-working-memory-tasks-1809.10847"/></url>
<url><loc>https://scifaro.com/en/abs/encoding-robust-representation-for-graph-generation-1809.10851</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encoding-robust-representation-for-graph-generation-1809.10851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encoding-robust-representation-for-graph-generation-1809.10851"/></url>
<url><loc>https://scifaro.com/en/abs/semantic-segmentation-for-urban-planning-maps-based-on-u-net-1809.10862</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantic-segmentation-for-urban-planning-maps-based-on-u-net-1809.10862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantic-segmentation-for-urban-planning-maps-based-on-u-net-1809.10862"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-audio-adversarial-examples-using-temporal-dependency-1809.10875</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-audio-adversarial-examples-using-temporal-dependency-1809.10875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-audio-adversarial-examples-using-temporal-dependency-1809.10875"/></url>
<url><loc>https://scifaro.com/en/abs/learning-for-single-shot-confidence-calibration-in-deep-neural-networks-through-stochastic-inferences-1809.10877</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-for-single-shot-confidence-calibration-in-deep-neural-networks-through-stochastic-inferences-1809.10877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-for-single-shot-confidence-calibration-in-deep-neural-networks-through-stochastic-inferences-1809.10877"/></url>
<url><loc>https://scifaro.com/en/abs/hyperst-net-hypernetworks-for-spatio-temporal-forecasting-1809.10889</loc><lastmod>2018-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperst-net-hypernetworks-for-spatio-temporal-forecasting-1809.10889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperst-net-hypernetworks-for-spatio-temporal-forecasting-1809.10889"/></url>
<url><loc>https://scifaro.com/en/abs/seqsleepnet-end-to-end-hierarchical-recurrent-neural-network-for-sequence-to-sequence-automatic-sleep-staging-1809.10932</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seqsleepnet-end-to-end-hierarchical-recurrent-neural-network-for-sequence-to-sequence-automatic-sleep-staging-1809.10932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seqsleepnet-end-to-end-hierarchical-recurrent-neural-network-for-sequence-to-sequence-automatic-sleep-staging-1809.10932"/></url>
<url><loc>https://scifaro.com/en/abs/target-independent-active-learning-via-distribution-splitting-1809.10962</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/target-independent-active-learning-via-distribution-splitting-1809.10962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/target-independent-active-learning-via-distribution-splitting-1809.10962"/></url>
<url><loc>https://scifaro.com/en/abs/cost-sensitive-learning-for-predictive-maintenance-1809.10979</loc><lastmod>2018-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-sensitive-learning-for-predictive-maintenance-1809.10979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-sensitive-learning-for-predictive-maintenance-1809.10979"/></url>
<url><loc>https://scifaro.com/en/abs/sigua-forgetting-may-make-learning-with-noisy-labels-more-robust-1809.11008</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sigua-forgetting-may-make-learning-with-noisy-labels-more-robust-1809.11008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sigua-forgetting-may-make-learning-with-noisy-labels-more-robust-1809.11008"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-linear-bandits-through-matrix-sketching-1809.11033</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-linear-bandits-through-matrix-sketching-1809.11033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-linear-bandits-through-matrix-sketching-1809.11033"/></url>
<url><loc>https://scifaro.com/en/abs/relational-forward-models-for-multi-agent-learning-1809.11044</loc><lastmod>2018-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-forward-models-for-multi-agent-learning-1809.11044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-forward-models-for-multi-agent-learning-1809.11044"/></url>
<url><loc>https://scifaro.com/en/abs/learning-recurrent-binary-ternary-weights-1809.11086</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-recurrent-binary-ternary-weights-1809.11086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-recurrent-binary-ternary-weights-1809.11086"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-remember-forget-and-ignore-using-attention-control-in-memory-1809.11087</loc><lastmod>2018-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-remember-forget-and-ignore-using-attention-control-in-memory-1809.11087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-remember-forget-and-ignore-using-attention-control-in-memory-1809.11087"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-gan-training-for-high-fidelity-natural-image-synthesis-1809.11096</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-gan-training-for-high-fidelity-natural-image-synthesis-1809.11096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-gan-training-for-high-fidelity-natural-image-synthesis-1809.11096"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-spectral-embedding-of-graphs-1809.11115</loc><lastmod>2018-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-spectral-embedding-of-graphs-1809.11115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-spectral-embedding-of-graphs-1809.11115"/></url>
<url><loc>https://scifaro.com/en/abs/eddi-efficient-dynamic-discovery-of-high-value-information-with-partial-vae-1809.11142</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eddi-efficient-dynamic-discovery-of-high-value-information-with-partial-vae-1809.11142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eddi-efficient-dynamic-discovery-of-high-value-information-with-partial-vae-1809.11142"/></url>
<url><loc>https://scifaro.com/en/abs/gpytorch-blackbox-matrix-matrix-gaussian-process-inference-with-gpu-acceleration-1809.11165</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gpytorch-blackbox-matrix-matrix-gaussian-process-inference-with-gpu-acceleration-1809.11165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gpytorch-blackbox-matrix-matrix-gaussian-process-inference-with-gpu-acceleration-1809.11165"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-black-box-attacks-against-model-based-authentication-1810.00024</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-black-box-attacks-against-model-based-authentication-1810.00024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-black-box-attacks-against-model-based-authentication-1810.00024"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-domain-adaptation-for-stable-brain-machine-interfaces-1810.00045</loc><lastmod>2019-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-domain-adaptation-for-stable-brain-machine-interfaces-1810.00045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-domain-adaptation-for-stable-brain-machine-interfaces-1810.00045"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-contextual-linear-bandits-1810.00068</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-contextual-linear-bandits-1810.00068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-contextual-linear-bandits-1810.00068"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-and-defences-a-survey-1810.00069</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-and-defences-a-survey-1810.00069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-and-defences-a-survey-1810.00069"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-destinations-by-nearest-neighbor-search-on-training-vessel-routes-1810.00096</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-destinations-by-nearest-neighbor-search-on-training-vessel-routes-1810.00096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-destinations-by-nearest-neighbor-search-on-training-vessel-routes-1810.00096"/></url>
<url><loc>https://scifaro.com/en/abs/open-ended-content-style-recombination-via-leakage-filtering-1810.00110</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-ended-content-style-recombination-via-leakage-filtering-1810.00110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-ended-content-style-recombination-via-leakage-filtering-1810.00110"/></url>
<url><loc>https://scifaro.com/en/abs/a-quantitative-analysis-of-the-effect-of-batch-normalization-on-gradient-descent-1810.00122</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-quantitative-analysis-of-the-effect-of-batch-normalization-on-gradient-descent-1810.00122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-quantitative-analysis-of-the-effect-of-batch-normalization-on-gradient-descent-1810.00122"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-and-regularization-in-dqn-1810.00123</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-and-regularization-in-dqn-1810.00123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-and-regularization-in-dqn-1810.00123"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-guided-semantic-computing-network-1810.00139</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-guided-semantic-computing-network-1810.00139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-guided-semantic-computing-network-1810.00139"/></url>
<url><loc>https://scifaro.com/en/abs/adashift-decorrelation-and-convergence-of-adaptive-learning-rate-methods-1810.00143</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adashift-decorrelation-and-convergence-of-adaptive-learning-rate-methods-1810.00143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adashift-decorrelation-and-convergence-of-adaptive-learning-rate-methods-1810.00143"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-adversarial-robustness-a-view-from-decision-surface-in-input-space-1810.00144</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-adversarial-robustness-a-view-from-decision-surface-in-input-space-1810.00144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-adversarial-robustness-a-view-from-decision-surface-in-input-space-1810.00144"/></url>
<url><loc>https://scifaro.com/en/abs/directional-analysis-of-stochastic-gradient-descent-via-von-mises-fisher-distributions-in-deep-learning-1810.00150</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directional-analysis-of-stochastic-gradient-descent-via-von-mises-fisher-distributions-in-deep-learning-1810.00150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directional-analysis-of-stochastic-gradient-descent-via-von-mises-fisher-distributions-in-deep-learning-1810.00150"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-in-r-1810.00240</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-in-r-1810.00240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-in-r-1810.00240"/></url>
<url><loc>https://scifaro.com/en/abs/training-behavior-of-sparse-neural-network-topologies-1810.00299</loc><lastmod>2019-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-behavior-of-sparse-neural-network-topologies-1810.00299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-behavior-of-sparse-neural-network-topologies-1810.00299"/></url>
<url><loc>https://scifaro.com/en/abs/mini-batch-serialization-cnn-training-with-inter-layer-data-reuse-1810.00307</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mini-batch-serialization-cnn-training-with-inter-layer-data-reuse-1810.00307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mini-batch-serialization-cnn-training-with-inter-layer-data-reuse-1810.00307"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-uncertainty-with-hedged-instance-embedding-1810.00319</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-uncertainty-with-hedged-instance-embedding-1810.00319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-uncertainty-with-hedged-instance-embedding-1810.00319"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-framework-for-single-sided-sound-speed-inversion-in-medical-ultrasound-1810.00322</loc><lastmod>2019-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-framework-for-single-sided-sound-speed-inversion-in-medical-ultrasound-1810.00322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-framework-for-single-sided-sound-speed-inversion-in-medical-ultrasound-1810.00322"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-perform-local-rewriting-for-combinatorial-optimization-1810.00337</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-perform-local-rewriting-for-combinatorial-optimization-1810.00337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-perform-local-rewriting-for-combinatorial-optimization-1810.00337"/></url>
<url><loc>https://scifaro.com/en/abs/using-state-predictions-for-value-regularization-in-curiosity-driven-deep-reinforcement-learning-1810.00361</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-state-predictions-for-value-regularization-in-curiosity-driven-deep-reinforcement-learning-1810.00361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-state-predictions-for-value-regularization-in-curiosity-driven-deep-reinforcement-learning-1810.00361"/></url>
<url><loc>https://scifaro.com/en/abs/pseudo-random-number-generation-using-generative-adversarial-networks-1810.00378</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pseudo-random-number-generation-using-generative-adversarial-networks-1810.00378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pseudo-random-number-generation-using-generative-adversarial-networks-1810.00378"/></url>
<url><loc>https://scifaro.com/en/abs/harmonic-alignment-1810.00386</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harmonic-alignment-1810.00386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harmonic-alignment-1810.00386"/></url>
<url><loc>https://scifaro.com/en/abs/deep-skinny-neural-networks-are-not-universal-approximators-1810.00393</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-skinny-neural-networks-are-not-universal-approximators-1810.00393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-skinny-neural-networks-are-not-universal-approximators-1810.00393"/></url>
<url><loc>https://scifaro.com/en/abs/nth-absolute-root-mean-error-1810.00421</loc><lastmod>2019-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nth-absolute-root-mean-error-1810.00421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nth-absolute-root-mean-error-1810.00421"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-neuron-structuring-with-graph-spectral-regularization-1810.00424</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-neuron-structuring-with-graph-spectral-regularization-1810.00424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-neuron-structuring-with-graph-spectral-regularization-1810.00424"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-sequence-labeling-with-actor-critic-training-1810.00428</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-sequence-labeling-with-actor-critic-training-1810.00428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-sequence-labeling-with-actor-critic-training-1810.00428"/></url>
<url><loc>https://scifaro.com/en/abs/interactive-learning-with-corrective-feedback-for-policies-based-on-deep-neural-networks-1810.00466</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interactive-learning-with-corrective-feedback-for-policies-based-on-deep-neural-networks-1810.00466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interactive-learning-with-corrective-feedback-for-policies-based-on-deep-neural-networks-1810.00466"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-transfer-reinforcement-learning-with-prior-knowledge-rules-1810.00468</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-transfer-reinforcement-learning-with-prior-knowledge-rules-1810.00468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-transfer-reinforcement-learning-with-prior-knowledge-rules-1810.00468"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-bias-in-ai-using-simulation-1810.00471</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-bias-in-ai-using-simulation-1810.00471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-bias-in-ai-using-simulation-1810.00471"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-end-to-end-atrial-fibrillation-recurrence-estimation-1810.00475</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-end-to-end-atrial-fibrillation-recurrence-estimation-1810.00475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-end-to-end-atrial-fibrillation-recurrence-estimation-1810.00475"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-goal-inference-for-visuomotor-learning-and-planning-1810.00482</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-goal-inference-for-visuomotor-learning-and-planning-1810.00482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-goal-inference-for-visuomotor-learning-and-planning-1810.00482"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-representations-from-clinical-data-for-chronic-kidney-disease-1810.00490</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-representations-from-clinical-data-for-chronic-kidney-disease-1810.00490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-representations-from-clinical-data-for-chronic-kidney-disease-1810.00490"/></url>
<url><loc>https://scifaro.com/en/abs/simple-and-fast-algorithms-for-interactive-machine-learning-with-random-counter-examples-1810.00506</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-and-fast-algorithms-for-interactive-machine-learning-with-random-counter-examples-1810.00506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-and-fast-algorithms-for-interactive-machine-learning-with-random-counter-examples-1810.00506"/></url>
<url><loc>https://scifaro.com/en/abs/fire-des-enhanced-online-pruning-of-base-classifiers-for-dynamic-ensemble-selection-1810.00520</loc><lastmod>2020-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fire-des-enhanced-online-pruning-of-base-classifiers-for-dynamic-ensemble-selection-1810.00520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fire-des-enhanced-online-pruning-of-base-classifiers-for-dynamic-ensemble-selection-1810.00520"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-network-for-medical-images-mi-gan-1810.00551</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-network-for-medical-images-mi-gan-1810.00551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-network-for-medical-images-mi-gan-1810.00551"/></url>
<url><loc>https://scifaro.com/en/abs/one-click-annotation-with-guided-hierarchical-object-detection-1810.00609</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-click-annotation-with-guided-hierarchical-object-detection-1810.00609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-click-annotation-with-guided-hierarchical-object-detection-1810.00609"/></url>
<url><loc>https://scifaro.com/en/abs/smartchoices-hybridizing-programming-and-machine-learning-1810.00619</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smartchoices-hybridizing-programming-and-machine-learning-1810.00619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smartchoices-hybridizing-programming-and-machine-learning-1810.00619"/></url>
<url><loc>https://scifaro.com/en/abs/perfect-match-a-simple-method-for-learning-representations-for-counterfactual-inference-with-neural-networks-1810.00656</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perfect-match-a-simple-method-for-learning-representations-for-counterfactual-inference-with-neural-networks-1810.00656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perfect-match-a-simple-method-for-learning-representations-for-counterfactual-inference-with-neural-networks-1810.00656"/></url>
<url><loc>https://scifaro.com/en/abs/classification-using-link-prediction-1810.00717</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-using-link-prediction-1810.00717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-using-link-prediction-1810.00717"/></url>
<url><loc>https://scifaro.com/en/abs/risk-averse-stochastic-convex-bandit-1810.00737</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-averse-stochastic-convex-bandit-1810.00737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-averse-stochastic-convex-bandit-1810.00737"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-generalization-of-adversarial-training-with-domain-adaptation-1810.00740</loc><lastmod>2019-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-generalization-of-adversarial-training-with-domain-adaptation-1810.00740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-generalization-of-adversarial-training-with-domain-adaptation-1810.00740"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-adaptive-optimization-methods-1810.00760</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-adaptive-optimization-methods-1810.00760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-adaptive-optimization-methods-1810.00760"/></url>
<url><loc>https://scifaro.com/en/abs/variational-discriminator-bottleneck-improving-imitation-learning-inverse-rl-and-gans-by-constraining-information-flow-1810.00821</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-discriminator-bottleneck-improving-imitation-learning-inverse-rl-and-gans-by-constraining-information-flow-1810.00821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-discriminator-bottleneck-improving-imitation-learning-inverse-rl-and-gans-by-constraining-information-flow-1810.00821"/></url>
<url><loc>https://scifaro.com/en/abs/set-transformer-a-framework-for-attention-based-permutation-invariant-neural-networks-1810.00825</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/set-transformer-a-framework-for-attention-based-permutation-invariant-neural-networks-1810.00825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/set-transformer-a-framework-for-attention-based-permutation-invariant-neural-networks-1810.00825"/></url>
<url><loc>https://scifaro.com/en/abs/how-powerful-are-graph-neural-networks-1810.00826</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-powerful-are-graph-neural-networks-1810.00826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-powerful-are-graph-neural-networks-1810.00826"/></url>
<url><loc>https://scifaro.com/en/abs/chet-compiler-and-runtime-for-homomorphic-evaluation-of-tensor-programs-1810.00845</loc><lastmod>2018-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chet-compiler-and-runtime-for-homomorphic-evaluation-of-tensor-programs-1810.00845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chet-compiler-and-runtime-for-homomorphic-evaluation-of-tensor-programs-1810.00845"/></url>
<url><loc>https://scifaro.com/en/abs/classification-from-positive-unlabeled-and-biased-negative-data-1810.00846</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-from-positive-unlabeled-and-biased-negative-data-1810.00846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-from-positive-unlabeled-and-biased-negative-data-1810.00846"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-sparse-graph-for-efficient-deep-learning-1810.00859</loc><lastmod>2019-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-sparse-graph-for-efficient-deep-learning-1810.00859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-sparse-graph-for-efficient-deep-learning-1810.00859"/></url>
<url><loc>https://scifaro.com/en/abs/proxquant-quantized-neural-networks-via-proximal-operators-1810.00861</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proxquant-quantized-neural-networks-via-proximal-operators-1810.00861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proxquant-quantized-neural-networks-via-proximal-operators-1810.00861"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adversarial-multi-task-framework-for-novel-therapeutic-property-prediction-of-compounds-1810.00867</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adversarial-multi-task-framework-for-novel-therapeutic-property-prediction-of-compounds-1810.00867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adversarial-multi-task-framework-for-novel-therapeutic-property-prediction-of-compounds-1810.00867"/></url>
<url><loc>https://scifaro.com/en/abs/training-machine-learning-models-by-regularizing-their-explanations-1810.00869</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-machine-learning-models-by-regularizing-their-explanations-1810.00869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-machine-learning-models-by-regularizing-their-explanations-1810.00869"/></url>
<url><loc>https://scifaro.com/en/abs/compiling-stan-to-generative-probabilistic-languages-and-extension-to-deep-probabilistic-programming-1810.00873</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compiling-stan-to-generative-probabilistic-languages-and-extension-to-deep-probabilistic-programming-1810.00873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compiling-stan-to-generative-probabilistic-languages-and-extension-to-deep-probabilistic-programming-1810.00873"/></url>
<url><loc>https://scifaro.com/en/abs/non-linear-attributed-graph-clustering-by-symmetric-nmf-with-pu-learning-1810.00946</loc><lastmod>2023-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-linear-attributed-graph-clustering-by-symmetric-nmf-with-pu-learning-1810.00946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-linear-attributed-graph-clustering-by-symmetric-nmf-with-pu-learning-1810.00946"/></url>
<url><loc>https://scifaro.com/en/abs/improved-robustness-to-adversarial-examples-using-lipschitz-regularization-of-the-loss-1810.00953</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-robustness-to-adversarial-examples-using-lipschitz-regularization-of-the-loss-1810.00953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-robustness-to-adversarial-examples-using-lipschitz-regularization-of-the-loss-1810.00953"/></url>
<url><loc>https://scifaro.com/en/abs/neural-regression-trees-1810.00974</loc><lastmod>2020-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-regression-trees-1810.00974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-regression-trees-1810.00974"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-parameter-free-and-adaptive-approach-to-optimization-under-a-minimal-local-smoothness-assumption-1810.00997</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-parameter-free-and-adaptive-approach-to-optimization-under-a-minimal-local-smoothness-assumption-1810.00997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-parameter-free-and-adaptive-approach-to-optimization-under-a-minimal-local-smoothness-assumption-1810.00997"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hash-codes-via-hamming-distance-targets-1810.01008</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hash-codes-via-hamming-distance-targets-1810.01008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hash-codes-via-hamming-distance-targets-1810.01008"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneously-optimizing-weight-and-quantizer-of-ternary-neural-network-using-truncated-gaussian-approximation-1810.01018</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneously-optimizing-weight-and-quantizer-of-ternary-neural-network-using-truncated-gaussian-approximation-1810.01018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneously-optimizing-weight-and-quantizer-of-ternary-neural-network-using-truncated-gaussian-approximation-1810.01018"/></url>
<url><loc>https://scifaro.com/en/abs/large-batch-size-training-of-neural-networks-with-adversarial-training-and-second-order-information-1810.01021</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-batch-size-training-of-neural-networks-with-adversarial-training-and-second-order-information-1810.01021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-batch-size-training-of-neural-networks-with-adversarial-training-and-second-order-information-1810.01021"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-perturbed-rewards-1810.01032</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-perturbed-rewards-1810.01032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-perturbed-rewards-1810.01032"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-self-regularization-in-deep-neural-networks-evidence-from-random-matrix-theory-and-implications-for-learning-1810.01075</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-self-regularization-in-deep-neural-networks-evidence-from-random-matrix-theory-and-implications-for-learning-1810.01075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-self-regularization-in-deep-neural-networks-evidence-from-random-matrix-theory-and-implications-for-learning-1810.01075"/></url>
<url><loc>https://scifaro.com/en/abs/quantization-aware-phase-retrieval-1810.01097</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantization-aware-phase-retrieval-1810.01097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantization-aware-phase-retrieval-1810.01097"/></url>
<url><loc>https://scifaro.com/en/abs/injective-state-image-mapping-facilitates-visual-adversarial-imitation-learning-1810.01108</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/injective-state-image-mapping-facilitates-visual-adversarial-imitation-learning-1810.01108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/injective-state-image-mapping-facilitates-visual-adversarial-imitation-learning-1810.01108"/></url>
<url><loc>https://scifaro.com/en/abs/the-dreaming-variational-autoencoder-for-reinforcement-learning-environments-1810.01112</loc><lastmod>2018-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-dreaming-variational-autoencoder-for-reinforcement-learning-environments-1810.01112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-dreaming-variational-autoencoder-for-reinforcement-learning-environments-1810.01112"/></url>
<url><loc>https://scifaro.com/en/abs/sinkhorn-autoencoders-1810.01118</loc><lastmod>2019-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sinkhorn-autoencoders-1810.01118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sinkhorn-autoencoders-1810.01118"/></url>
<url><loc>https://scifaro.com/en/abs/emi-exploration-with-mutual-information-1810.01176</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emi-exploration-with-mutual-information-1810.01176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emi-exploration-with-mutual-information-1810.01176"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-algorithms-for-cascading-bandits-1810.01187</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-algorithms-for-cascading-bandits-1810.01187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-algorithms-for-cascading-bandits-1810.01187"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-gaussian-process-temporal-difference-learning-for-marine-robot-navigation-1810.01217</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-gaussian-process-temporal-difference-learning-for-marine-robot-navigation-1810.01217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-gaussian-process-temporal-difference-learning-for-marine-robot-navigation-1810.01217"/></url>
<url><loc>https://scifaro.com/en/abs/alphaseq-sequence-discovery-with-deep-reinforcement-learning-1810.01218</loc><lastmod>2019-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alphaseq-sequence-discovery-with-deep-reinforcement-learning-1810.01218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alphaseq-sequence-discovery-with-deep-reinforcement-learning-1810.01218"/></url>
<url><loc>https://scifaro.com/en/abs/cem-rl-combining-evolutionary-and-gradient-based-methods-for-policy-search-1810.01222</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cem-rl-combining-evolutionary-and-gradient-based-methods-for-policy-search-1810.01222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cem-rl-combining-evolutionary-and-gradient-based-methods-for-policy-search-1810.01222"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-seismic-fragility-curve-estimation-by-active-learning-on-support-vector-machines-1810.01240</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-seismic-fragility-curve-estimation-by-active-learning-on-support-vector-machines-1810.01240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-seismic-fragility-curve-estimation-by-active-learning-on-support-vector-machines-1810.01240"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-of-context-dependent-processing-in-neural-networks-1810.01256</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-of-context-dependent-processing-in-neural-networks-1810.01256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-of-context-dependent-processing-in-neural-networks-1810.01256"/></url>
<url><loc>https://scifaro.com/en/abs/directed-info-gail-learning-hierarchical-policies-from-unsegmented-demonstrations-using-directed-information-1810.01266</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directed-info-gail-learning-hierarchical-policies-from-unsegmented-demonstrations-using-directed-information-1810.01266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directed-info-gail-learning-hierarchical-policies-from-unsegmented-demonstrations-using-directed-information-1810.01266"/></url>
<url><loc>https://scifaro.com/en/abs/caad-2018-generating-transferable-adversarial-examples-1810.01268</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/caad-2018-generating-transferable-adversarial-examples-1810.01268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/caad-2018-generating-transferable-adversarial-examples-1810.01268"/></url>
<url><loc>https://scifaro.com/en/abs/meta-des-a-dynamic-ensemble-selection-framework-using-meta-learning-1810.01270</loc><lastmod>2020-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-des-a-dynamic-ensemble-selection-framework-using-meta-learning-1810.01270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-des-a-dynamic-ensemble-selection-framework-using-meta-learning-1810.01270"/></url>
<url><loc>https://scifaro.com/en/abs/adv-bnn-improved-adversarial-defense-through-robust-bayesian-neural-network-1810.01279</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adv-bnn-improved-adversarial-defense-through-robust-bayesian-neural-network-1810.01279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adv-bnn-improved-adversarial-defense-through-robust-bayesian-neural-network-1810.01279"/></url>
<url><loc>https://scifaro.com/en/abs/landmine-detection-using-autoencoders-on-multi-polarization-gpr-volumetric-data-1810.01316</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/landmine-detection-using-autoencoders-on-multi-polarization-gpr-volumetric-data-1810.01316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/landmine-detection-using-autoencoders-on-multi-polarization-gpr-volumetric-data-1810.01316"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-random-learning-rates-1810.01322</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-random-learning-rates-1810.01322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-random-learning-rates-1810.01322"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-emergence-of-spatial-structure-from-sensorimotor-prediction-1810.01344</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-emergence-of-spatial-structure-from-sensorimotor-prediction-1810.01344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-emergence-of-spatial-structure-from-sensorimotor-prediction-1810.01344"/></url>
<url><loc>https://scifaro.com/en/abs/energy-based-hindsight-experience-prioritization-1810.01363</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-based-hindsight-experience-prioritization-1810.01363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-based-hindsight-experience-prioritization-1810.01363"/></url>
<url><loc>https://scifaro.com/en/abs/on-self-modulation-for-generative-adversarial-networks-1810.01365</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-self-modulation-for-generative-adversarial-networks-1810.01365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-self-modulation-for-generative-adversarial-networks-1810.01365"/></url>
<url><loc>https://scifaro.com/en/abs/ffjord-free-form-continuous-dynamics-for-scalable-reversible-generative-models-1810.01367</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ffjord-free-form-continuous-dynamics-for-scalable-reversible-generative-models-1810.01367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ffjord-free-form-continuous-dynamics-for-scalable-reversible-generative-models-1810.01367"/></url>
<url><loc>https://scifaro.com/en/abs/multi-scale-convolution-aggregation-and-stochastic-feature-reuse-for-densenets-1810.01373</loc><lastmod>2018-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-scale-convolution-aggregation-and-stochastic-feature-reuse-for-densenets-1810.01373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-scale-convolution-aggregation-and-stochastic-feature-reuse-for-densenets-1810.01373"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-completion-distillation-for-sequence-learning-1810.01398</loc><lastmod>2019-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-completion-distillation-for-sequence-learning-1810.01398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-completion-distillation-for-sequence-learning-1810.01398"/></url>
<url><loc>https://scifaro.com/en/abs/sketching-for-latent-dirichlet-categorical-models-1810.01400</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sketching-for-latent-dirichlet-categorical-models-1810.01400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sketching-for-latent-dirichlet-categorical-models-1810.01400"/></url>
<url><loc>https://scifaro.com/en/abs/glad-glocalized-anomaly-detection-via-human-in-the-loop-learning-1810.01403</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/glad-glocalized-anomaly-detection-via-human-in-the-loop-learning-1810.01403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/glad-glocalized-anomaly-detection-via-human-in-the-loop-learning-1810.01403"/></url>
<url><loc>https://scifaro.com/en/abs/super-resolution-via-conditional-implicit-maximum-likelihood-estimation-1810.01406</loc><lastmod>2018-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/super-resolution-via-conditional-implicit-maximum-likelihood-estimation-1810.01406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/super-resolution-via-conditional-implicit-maximum-likelihood-estimation-1810.01406"/></url>
<url><loc>https://scifaro.com/en/abs/can-adversarially-robust-learning-leverage-computational-hardness-1810.01407</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-adversarially-robust-learning-leverage-computational-hardness-1810.01407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-adversarially-robust-learning-leverage-computational-hardness-1810.01407"/></url>
<url><loc>https://scifaro.com/en/abs/learning-particle-dynamics-for-manipulating-rigid-bodies-deformable-objects-and-fluids-1810.01566</loc><lastmod>2019-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-particle-dynamics-for-manipulating-rigid-bodies-deformable-objects-and-fluids-1810.01566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-particle-dynamics-for-manipulating-rigid-bodies-deformable-objects-and-fluids-1810.01566"/></url>
<url><loc>https://scifaro.com/en/abs/theory-of-generative-deep-learning-probe-landscape-of-empirical-error-via-norm-based-capacity-control-1810.01622</loc><lastmod>2018-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-of-generative-deep-learning-probe-landscape-of-empirical-error-via-norm-based-capacity-control-1810.01622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-of-generative-deep-learning-probe-landscape-of-empirical-error-via-norm-based-capacity-control-1810.01622"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-multi-armed-bandits-for-causal-marketing-1810.01859</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-multi-armed-bandits-for-causal-marketing-1810.01859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-multi-armed-bandits-for-causal-marketing-1810.01859"/></url>
<url><loc>https://scifaro.com/en/abs/ginn-geometric-illustration-of-neural-networks-1810.01860</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ginn-geometric-illustration-of-neural-networks-1810.01860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ginn-geometric-illustration-of-neural-networks-1810.01860"/></url>
<url><loc>https://scifaro.com/en/abs/inhibited-softmax-for-uncertainty-estimation-in-neural-networks-1810.01861</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inhibited-softmax-for-uncertainty-estimation-in-neural-networks-1810.01861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inhibited-softmax-for-uncertainty-estimation-in-neural-networks-1810.01861"/></url>
<url><loc>https://scifaro.com/en/abs/agnostic-sample-compression-schemes-for-regression-1810.01864</loc><lastmod>2024-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agnostic-sample-compression-schemes-for-regression-1810.01864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agnostic-sample-compression-schemes-for-regression-1810.01864"/></url>
<url><loc>https://scifaro.com/en/abs/robust-identification-of-thermal-models-for-in-production-high-performance-computing-clusters-with-machine-learning-based-data-selection-1810.01865</loc><lastmod>2018-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-identification-of-thermal-models-for-in-production-high-performance-computing-clusters-with-machine-learning-based-data-selection-1810.01865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-identification-of-thermal-models-for-in-production-high-performance-computing-clusters-with-machine-learning-based-data-selection-1810.01865"/></url>
<url><loc>https://scifaro.com/en/abs/learning-an-internal-representation-of-the-end-effector-configuration-space-1810.01866</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-an-internal-representation-of-the-end-effector-configuration-space-1810.01866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-an-internal-representation-of-the-end-effector-configuration-space-1810.01866"/></url>
<url><loc>https://scifaro.com/en/abs/a-non-linear-approach-to-space-dimension-perception-by-a-naive-agent-1810.01867</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-non-linear-approach-to-space-dimension-perception-by-a-naive-agent-1810.01867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-non-linear-approach-to-space-dimension-perception-by-a-naive-agent-1810.01867"/></url>
<url><loc>https://scifaro.com/en/abs/set-aggregation-network-as-a-trainable-pooling-layer-1810.01868</loc><lastmod>2020-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/set-aggregation-network-as-a-trainable-pooling-layer-1810.01868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/set-aggregation-network-as-a-trainable-pooling-layer-1810.01868"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-suites-for-online-toxicity-detection-1810.01869</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-suites-for-online-toxicity-detection-1810.01869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-suites-for-online-toxicity-detection-1810.01869"/></url>
<url><loc>https://scifaro.com/en/abs/grounding-perception-a-developmental-approach-to-sensorimotor-contingencies-1810.01870</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grounding-perception-a-developmental-approach-to-sensorimotor-contingencies-1810.01870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grounding-perception-a-developmental-approach-to-sensorimotor-contingencies-1810.01870"/></url>
<url><loc>https://scifaro.com/en/abs/grounding-the-experience-of-a-visual-field-through-sensorimotor-contingencies-1810.01871</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grounding-the-experience-of-a-visual-field-through-sensorimotor-contingencies-1810.01871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grounding-the-experience-of-a-visual-field-through-sensorimotor-contingencies-1810.01871"/></url>
<url><loc>https://scifaro.com/en/abs/learning-agent-s-spatial-configuration-from-sensorimotor-invariants-1810.01872</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-agent-s-spatial-configuration-from-sensorimotor-invariants-1810.01872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-agent-s-spatial-configuration-from-sensorimotor-invariants-1810.01872"/></url>
<url><loc>https://scifaro.com/en/abs/combining-natural-gradient-with-hessian-free-methods-for-sequence-training-1810.01873</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-natural-gradient-with-hessian-free-methods-for-sequence-training-1810.01873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-natural-gradient-with-hessian-free-methods-for-sequence-training-1810.01873"/></url>
<url><loc>https://scifaro.com/en/abs/relaxed-quantization-for-discretized-neural-networks-1810.01875</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relaxed-quantization-for-discretized-neural-networks-1810.01875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relaxed-quantization-for-discretized-neural-networks-1810.01875"/></url>
<url><loc>https://scifaro.com/en/abs/spurious-samples-in-deep-generative-models-bug-or-feature-1810.01876</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spurious-samples-in-deep-generative-models-bug-or-feature-1810.01876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spurious-samples-in-deep-generative-models-bug-or-feature-1810.01876"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-weight-normalized-deep-neural-networks-with-rectified-linear-units-1810.01877</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-weight-normalized-deep-neural-networks-with-rectified-linear-units-1810.01877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-weight-normalized-deep-neural-networks-with-rectified-linear-units-1810.01877"/></url>
<url><loc>https://scifaro.com/en/abs/determining-optimal-number-of-k-clusters-based-on-predefined-level-of-similarity-1810.01878</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/determining-optimal-number-of-k-clusters-based-on-predefined-level-of-similarity-1810.01878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/determining-optimal-number-of-k-clusters-based-on-predefined-level-of-similarity-1810.01878"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-inverse-optimization-through-online-learning-1810.01920</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-inverse-optimization-through-online-learning-1810.01920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-inverse-optimization-through-online-learning-1810.01920"/></url>
<url><loc>https://scifaro.com/en/abs/lit-block-wise-intermediate-representation-training-for-model-compression-1810.01937</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lit-block-wise-intermediate-representation-training-for-model-compression-1810.01937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lit-block-wise-intermediate-representation-training-for-model-compression-1810.01937"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-reinforcement-learning-algorithms-applied-to-the-cart-pole-problem-1810.01940</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-reinforcement-learning-algorithms-applied-to-the-cart-pole-problem-1810.01940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-reinforcement-learning-algorithms-applied-to-the-cart-pole-problem-1810.01940"/></url>
<url><loc>https://scifaro.com/en/abs/learning-scheduling-algorithms-for-data-processing-clusters-1810.01963</loc><lastmod>2019-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-scheduling-algorithms-for-data-processing-clusters-1810.01963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-scheduling-algorithms-for-data-processing-clusters-1810.01963"/></url>
<url><loc>https://scifaro.com/en/abs/cred-a-deep-residual-network-of-convolutional-and-recurrent-units-for-earthquake-signal-detection-1810.01965</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cred-a-deep-residual-network-of-convolutional-and-recurrent-units-for-earthquake-signal-detection-1810.01965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cred-a-deep-residual-network-of-convolutional-and-recurrent-units-for-earthquake-signal-detection-1810.01965"/></url>
<url><loc>https://scifaro.com/en/abs/from-soft-classifiers-to-hard-decisions-how-fair-can-we-be-1810.02003</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-soft-classifiers-to-hard-decisions-how-fair-can-we-be-1810.02003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-soft-classifiers-to-hard-decisions-how-fair-can-we-be-1810.02003"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-aligns-the-layers-of-deep-linear-networks-1810.02032</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-aligns-the-layers-of-deep-linear-networks-1810.02032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-aligns-the-layers-of-deep-linear-networks-1810.02032"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-provably-optimizes-over-parameterized-neural-networks-1810.02054</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-provably-optimizes-over-parameterized-neural-networks-1810.02054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-provably-optimizes-over-parameterized-neural-networks-1810.02054"/></url>
<url><loc>https://scifaro.com/en/abs/towards-fast-and-energy-efficient-binarized-neural-network-inference-on-fpga-1810.02068</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-fast-and-energy-efficient-binarized-neural-network-inference-on-fpga-1810.02068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-fast-and-energy-efficient-binarized-neural-network-inference-on-fpga-1810.02068"/></url>
<url><loc>https://scifaro.com/en/abs/finding-solutions-to-generative-adversarial-privacy-1810.02069</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-solutions-to-generative-adversarial-privacy-1810.02069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-solutions-to-generative-adversarial-privacy-1810.02069"/></url>
<url><loc>https://scifaro.com/en/abs/transferring-physical-motion-between-domains-for-neural-inertial-tracking-1810.02076</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferring-physical-motion-between-domains-for-neural-inertial-tracking-1810.02076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferring-physical-motion-between-domains-for-neural-inertial-tracking-1810.02076"/></url>
<url><loc>https://scifaro.com/en/abs/dual-convolutional-neural-network-for-graph-of-graphs-link-prediction-1810.02080</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-convolutional-neural-network-for-graph-of-graphs-link-prediction-1810.02080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-convolutional-neural-network-for-graph-of-graphs-link-prediction-1810.02080"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-dependency-estimation-1810.02112</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-dependency-estimation-1810.02112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-dependency-estimation-1810.02112"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-policies-for-perimeter-surveillance-problems-1810.02176</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-policies-for-perimeter-surveillance-problems-1810.02176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-policies-for-perimeter-surveillance-problems-1810.02176"/></url>
<url><loc>https://scifaro.com/en/abs/improved-generalization-bounds-for-adversarially-robust-learning-1810.02180</loc><lastmod>2022-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-generalization-bounds-for-adversarially-robust-learning-1810.02180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-generalization-bounds-for-adversarially-robust-learning-1810.02180"/></url>
<url><loc>https://scifaro.com/en/abs/weisfeiler-and-leman-go-neural-higher-order-graph-neural-networks-1810.02244</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weisfeiler-and-leman-go-neural-higher-order-graph-neural-networks-1810.02244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weisfeiler-and-leman-go-neural-higher-order-graph-neural-networks-1810.02244"/></url>
<url><loc>https://scifaro.com/en/abs/concept-drifting-data-streams-are-time-series-the-case-for-continuous-adaptation-1810.02266</loc><lastmod>2018-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-drifting-data-streams-are-time-series-the-case-for-continuous-adaptation-1810.02266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-drifting-data-streams-are-time-series-the-case-for-continuous-adaptation-1810.02266"/></url>
<url><loc>https://scifaro.com/en/abs/episodic-curiosity-through-reachability-1810.02274</loc><lastmod>2019-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/episodic-curiosity-through-reachability-1810.02274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/episodic-curiosity-through-reachability-1810.02274"/></url>
<url><loc>https://scifaro.com/en/abs/a-convergence-analysis-of-gradient-descent-for-deep-linear-neural-networks-1810.02281</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convergence-analysis-of-gradient-descent-for-deep-linear-neural-networks-1810.02281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convergence-analysis-of-gradient-descent-for-deep-linear-neural-networks-1810.02281"/></url>
<url><loc>https://scifaro.com/en/abs/learning-compressed-transforms-with-low-displacement-rank-1810.02309</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-compressed-transforms-with-low-displacement-rank-1810.02309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-compressed-transforms-with-low-displacement-rank-1810.02309"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-via-meta-learning-1810.02334</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-via-meta-learning-1810.02334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-via-meta-learning-1810.02334"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-via-unsupervised-task-discovery-for-visual-question-answering-1810.02358</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-via-unsupervised-task-discovery-for-visual-question-answering-1810.02358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-via-unsupervised-task-discovery-for-visual-question-answering-1810.02358"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-the-theory-of-cooperative-inference-1810.02423</loc><lastmod>2019-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-the-theory-of-cooperative-inference-1810.02423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-the-theory-of-cooperative-inference-1810.02423"/></url>
<url><loc>https://scifaro.com/en/abs/feature-prioritization-and-regularization-improve-standard-accuracy-and-adversarial-robustness-1810.02424</loc><lastmod>2019-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-prioritization-and-regularization-improve-standard-accuracy-and-adversarial-robustness-1810.02424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-prioritization-and-regularization-improve-standard-accuracy-and-adversarial-robustness-1810.02424"/></url>
<url><loc>https://scifaro.com/en/abs/dynamics-and-reachability-of-learning-tasks-1810.02440</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamics-and-reachability-of-learning-tasks-1810.02440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamics-and-reachability-of-learning-tasks-1810.02440"/></url>
<url><loc>https://scifaro.com/en/abs/autoloss-learning-discrete-schedules-for-alternate-optimization-1810.02442</loc><lastmod>2018-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoloss-learning-discrete-schedules-for-alternate-optimization-1810.02442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoloss-learning-discrete-schedules-for-alternate-optimization-1810.02442"/></url>
<url><loc>https://scifaro.com/en/abs/correcting-the-bias-in-least-squares-regression-with-volume-rescaled-sampling-1810.02453</loc><lastmod>2018-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correcting-the-bias-in-least-squares-regression-with-volume-rescaled-sampling-1810.02453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correcting-the-bias-in-least-squares-regression-with-volume-rescaled-sampling-1810.02453"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-simulate-1810.02513</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-simulate-1810.02513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-simulate-1810.02513"/></url>
<url><loc>https://scifaro.com/en/abs/social-choice-random-utility-models-of-intransitive-pairwise-comparisons-1810.02518</loc><lastmod>2018-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/social-choice-random-utility-models-of-intransitive-pairwise-comparisons-1810.02518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/social-choice-random-utility-models-of-intransitive-pairwise-comparisons-1810.02518"/></url>
<url><loc>https://scifaro.com/en/abs/where-did-my-optimum-go-an-empirical-analysis-of-gradient-descent-optimization-in-policy-gradient-methods-1810.02525</loc><lastmod>2018-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/where-did-my-optimum-go-an-empirical-analysis-of-gradient-descent-optimization-in-policy-gradient-methods-1810.02525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/where-did-my-optimum-go-an-empirical-analysis-of-gradient-descent-optimization-in-policy-gradient-methods-1810.02525"/></url>
<url><loc>https://scifaro.com/en/abs/local-stability-and-performance-of-simple-gradient-penalty-mu-wasserstein-gan-1810.02528</loc><lastmod>2018-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-stability-and-performance-of-simple-gradient-penalty-mu-wasserstein-gan-1810.02528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-stability-and-performance-of-simple-gradient-penalty-mu-wasserstein-gan-1810.02528"/></url>
<url><loc>https://scifaro.com/en/abs/ppo-cma-proximal-policy-optimization-with-covariance-matrix-adaptation-1810.02541</loc><lastmod>2020-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ppo-cma-proximal-policy-optimization-with-covariance-matrix-adaptation-1810.02541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ppo-cma-proximal-policy-optimization-with-covariance-matrix-adaptation-1810.02541"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-antithetic-sampling-for-variance-reduction-in-stochastic-variational-inference-1810.02555</loc><lastmod>2019-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-antithetic-sampling-for-variance-reduction-in-stochastic-variational-inference-1810.02555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-antithetic-sampling-for-variance-reduction-in-stochastic-variational-inference-1810.02555"/></url>
<url><loc>https://scifaro.com/en/abs/convex-clustering-model-theoretical-guarantee-and-efficient-algorithm-1810.02677</loc><lastmod>2018-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-clustering-model-theoretical-guarantee-and-efficient-algorithm-1810.02677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-clustering-model-theoretical-guarantee-and-efficient-algorithm-1810.02677"/></url>
<url><loc>https://scifaro.com/en/abs/local-interpretable-model-agnostic-explanations-of-bayesian-predictive-models-via-kullback-leibler-projections-1810.02678</loc><lastmod>2018-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-interpretable-model-agnostic-explanations-of-bayesian-predictive-models-via-kullback-leibler-projections-1810.02678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-interpretable-model-agnostic-explanations-of-bayesian-predictive-models-via-kullback-leibler-projections-1810.02678"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-leave-one-out-for-high-dimensional-non-differentiable-learning-problems-1810.02716</loc><lastmod>2018-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-leave-one-out-for-high-dimensional-non-differentiable-learning-problems-1810.02716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-leave-one-out-for-high-dimensional-non-differentiable-learning-problems-1810.02716"/></url>
<url><loc>https://scifaro.com/en/abs/linear-queries-estimation-with-local-differential-privacy-1810.02810</loc><lastmod>2018-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-queries-estimation-with-local-differential-privacy-1810.02810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-queries-estimation-with-local-differential-privacy-1810.02810"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-submodular-optimization-approaches-for-control-applications-in-networked-systems-1810.02837</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-submodular-optimization-approaches-for-control-applications-in-networked-systems-1810.02837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-submodular-optimization-approaches-for-control-applications-in-networked-systems-1810.02837"/></url>
<url><loc>https://scifaro.com/en/abs/physics-guided-recurrent-neural-networks-for-modeling-dynamical-systems-application-to-monitoring-water-temperature-and-quality-in-lakes-1810.02880</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-guided-recurrent-neural-networks-for-modeling-dynamical-systems-application-to-monitoring-water-temperature-and-quality-in-lakes-1810.02880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-guided-recurrent-neural-networks-for-modeling-dynamical-systems-application-to-monitoring-water-temperature-and-quality-in-lakes-1810.02880"/></url>
<url><loc>https://scifaro.com/en/abs/cdf-transform-and-shift-an-effective-way-to-deal-with-datasets-of-inhomogeneous-cluster-densities-1810.02897</loc><lastmod>2024-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cdf-transform-and-shift-an-effective-way-to-deal-with-datasets-of-inhomogeneous-cluster-densities-1810.02897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cdf-transform-and-shift-an-effective-way-to-deal-with-datasets-of-inhomogeneous-cluster-densities-1810.02897"/></url>
<url><loc>https://scifaro.com/en/abs/actor-attention-critic-for-multi-agent-reinforcement-learning-1810.02912</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/actor-attention-critic-for-multi-agent-reinforcement-learning-1810.02912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/actor-attention-critic-for-multi-agent-reinforcement-learning-1810.02912"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-all-goals-updates-in-reinforcement-learning-using-convolutional-neural-networks-1810.02927</loc><lastmod>2020-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-all-goals-updates-in-reinforcement-learning-using-convolutional-neural-networks-1810.02927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-all-goals-updates-in-reinforcement-learning-using-convolutional-neural-networks-1810.02927"/></url>
<url><loc>https://scifaro.com/en/abs/mining-novel-multivariate-relationships-in-time-series-data-using-correlation-networks-1810.02950</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-novel-multivariate-relationships-in-time-series-data-using-correlation-networks-1810.02950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-novel-multivariate-relationships-in-time-series-data-using-correlation-networks-1810.02950"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-recurrent-neural-architectures-by-analyzing-and-synthesizing-long-distance-dependencies-in-benchmark-sequential-datasets-1810.02966</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-recurrent-neural-architectures-by-analyzing-and-synthesizing-long-distance-dependencies-in-benchmark-sequential-datasets-1810.02966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-recurrent-neural-architectures-by-analyzing-and-synthesizing-long-distance-dependencies-in-benchmark-sequential-datasets-1810.02966"/></url>
<url><loc>https://scifaro.com/en/abs/anytime-stochastic-gradient-descent-a-time-to-hear-from-all-the-workers-1810.02976</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anytime-stochastic-gradient-descent-a-time-to-hear-from-all-the-workers-1810.02976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anytime-stochastic-gradient-descent-a-time-to-hear-from-all-the-workers-1810.02976"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-optimize-under-non-stationarity-1810.03024</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-optimize-under-non-stationarity-1810.03024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-optimize-under-non-stationarity-1810.03024"/></url>
<url><loc>https://scifaro.com/en/abs/why-do-larger-models-generalize-better-a-theoretical-perspective-via-the-xor-problem-1810.03037</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-do-larger-models-generalize-better-a-theoretical-perspective-via-the-xor-problem-1810.03037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-do-larger-models-generalize-better-a-theoretical-perspective-via-the-xor-problem-1810.03037"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-cpace-pac-optimal-exploration-in-continuous-space-bayes-adaptive-markov-decision-processes-1810.03048</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-cpace-pac-optimal-exploration-in-continuous-space-bayes-adaptive-markov-decision-processes-1810.03048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-cpace-pac-optimal-exploration-in-continuous-space-bayes-adaptive-markov-decision-processes-1810.03048"/></url>
<url><loc>https://scifaro.com/en/abs/provable-subspace-tracking-from-missing-data-and-matrix-completion-1810.03051</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-subspace-tracking-from-missing-data-and-matrix-completion-1810.03051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-subspace-tracking-from-missing-data-and-matrix-completion-1810.03051"/></url>
<url><loc>https://scifaro.com/en/abs/deep-convolutional-gaussian-processes-1810.03052</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-convolutional-gaussian-processes-1810.03052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-convolutional-gaussian-processes-1810.03052"/></url>
<url><loc>https://scifaro.com/en/abs/csi-net-unified-human-body-characterization-and-pose-recognition-1810.03064</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/csi-net-unified-human-body-characterization-and-pose-recognition-1810.03064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/csi-net-unified-human-body-characterization-and-pose-recognition-1810.03064"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-scattering-for-graph-data-analysis-1810.03068</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-scattering-for-graph-data-analysis-1810.03068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-scattering-for-graph-data-analysis-1810.03068"/></url>
<url><loc>https://scifaro.com/en/abs/graphlet-count-estimation-via-convolutional-neural-networks-1810.03078</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphlet-count-estimation-via-convolutional-neural-networks-1810.03078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphlet-count-estimation-via-convolutional-neural-networks-1810.03078"/></url>
<url><loc>https://scifaro.com/en/abs/asvrg-accelerated-proximal-svrg-1810.03105</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asvrg-accelerated-proximal-svrg-1810.03105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asvrg-accelerated-proximal-svrg-1810.03105"/></url>
<url><loc>https://scifaro.com/en/abs/european-court-of-human-right-open-data-project-1810.03115</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/european-court-of-human-right-open-data-project-1810.03115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/european-court-of-human-right-open-data-project-1810.03115"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-stochastic-gradient-descent-using-antithetic-sampling-1810.03124</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-stochastic-gradient-descent-using-antithetic-sampling-1810.03124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-stochastic-gradient-descent-using-antithetic-sampling-1810.03124"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-evolutionary-learning-method-for-self-learning-1810.03198</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-evolutionary-learning-method-for-self-learning-1810.03198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-evolutionary-learning-method-for-self-learning-1810.03198"/></url>
<url><loc>https://scifaro.com/en/abs/principled-deep-neural-network-training-through-linear-programming-1810.03218</loc><lastmod>2022-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principled-deep-neural-network-training-through-linear-programming-1810.03218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principled-deep-neural-network-training-through-linear-programming-1810.03218"/></url>
<url><loc>https://scifaro.com/en/abs/toward-understanding-the-impact-of-staleness-in-distributed-machine-learning-1810.03264</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-understanding-the-impact-of-staleness-in-distributed-machine-learning-1810.03264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-understanding-the-impact-of-staleness-in-distributed-machine-learning-1810.03264"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-waiting-thresholds-within-a-state-machine-1810.03278</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-waiting-thresholds-within-a-state-machine-1810.03278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-waiting-thresholds-within-a-state-machine-1810.03278"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-bounds-on-linear-regions-of-deep-rectifier-networks-1810.03370</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-bounds-on-linear-regions-of-deep-rectifier-networks-1810.03370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-bounds-on-linear-regions-of-deep-rectifier-networks-1810.03370"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-memorization-in-relu-networks-1810.03372</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-memorization-in-relu-networks-1810.03372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-memorization-in-relu-networks-1810.03372"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-cardiac-motion-analysis-for-human-survival-prediction-1810.03382</loc><lastmod>2019-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-cardiac-motion-analysis-for-human-survival-prediction-1810.03382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-cardiac-motion-analysis-for-human-survival-prediction-1810.03382"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-breiman-s-dilemma-in-neural-networks-phase-transitions-of-margin-dynamics-1810.03389</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-breiman-s-dilemma-in-neural-networks-phase-transitions-of-margin-dynamics-1810.03389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-breiman-s-dilemma-in-neural-networks-phase-transitions-of-margin-dynamics-1810.03389"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-clustering-that-takes-advantage-of-both-density-peak-and-density-connectivity-1810.03393</loc><lastmod>2024-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-clustering-that-takes-advantage-of-both-density-peak-and-density-connectivity-1810.03393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-clustering-that-takes-advantage-of-both-density-peak-and-density-connectivity-1810.03393"/></url>
<url><loc>https://scifaro.com/en/abs/wide-and-deep-learning-for-peer-to-peer-lending-1810.03466</loc><lastmod>2018-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wide-and-deep-learning-for-peer-to-peer-lending-1810.03466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wide-and-deep-learning-for-peer-to-peer-lending-1810.03466"/></url>
<url><loc>https://scifaro.com/en/abs/chopt-automated-hyperparameter-optimization-framework-for-cloud-based-machine-learning-platforms-1810.03527</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chopt-automated-hyperparameter-optimization-framework-for-cloud-based-machine-learning-platforms-1810.03527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chopt-automated-hyperparameter-optimization-framework-for-cloud-based-machine-learning-platforms-1810.03527"/></url>
<url><loc>https://scifaro.com/en/abs/effective-parallelisation-for-machine-learning-1810.03530</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-parallelisation-for-machine-learning-1810.03530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-parallelisation-for-machine-learning-1810.03530"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-attacks-on-binarized-neural-networks-1810.03538</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-attacks-on-binarized-neural-networks-1810.03538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-attacks-on-binarized-neural-networks-1810.03538"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-a-survey-1810.03548</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-a-survey-1810.03548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-a-survey-1810.03548"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-aspects-of-inverse-problems-using-generative-models-1810.03587</loc><lastmod>2018-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-aspects-of-inverse-problems-using-generative-models-1810.03587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-aspects-of-inverse-problems-using-generative-models-1810.03587"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-online-gradient-is-optimum-for-dynamic-regret-1810.03594</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-online-gradient-is-optimum-for-dynamic-regret-1810.03594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-online-gradient-is-optimum-for-dynamic-regret-1810.03594"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-origins-of-bias-in-word-embeddings-1810.03611</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-origins-of-bias-in-word-embeddings-1810.03611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-origins-of-bias-in-word-embeddings-1810.03611"/></url>
<url><loc>https://scifaro.com/en/abs/fast-context-adaptation-via-meta-learning-1810.03642</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-context-adaptation-via-meta-learning-1810.03642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-context-adaptation-via-meta-learning-1810.03642"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-deep-reinforcement-learning-for-zero-energy-communities-1810.03679</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-deep-reinforcement-learning-for-zero-energy-communities-1810.03679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-deep-reinforcement-learning-for-zero-energy-communities-1810.03679"/></url>
<url><loc>https://scifaro.com/en/abs/design-by-adaptive-sampling-1810.03714</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/design-by-adaptive-sampling-1810.03714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/design-by-adaptive-sampling-1810.03714"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-non-parametric-bayesian-hawkes-processes-1810.03730</loc><lastmod>2022-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-non-parametric-bayesian-hawkes-processes-1810.03730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-non-parametric-bayesian-hawkes-processes-1810.03730"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-two-step-adversarial-defense-for-deep-neural-networks-1810.03739</loc><lastmod>2018-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-two-step-adversarial-defense-for-deep-neural-networks-1810.03739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-two-step-adversarial-defense-for-deep-neural-networks-1810.03739"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-models-for-analyzing-magic-the-gathering-cards-1810.03744</loc><lastmod>2018-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-models-for-analyzing-magic-the-gathering-cards-1810.03744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-models-for-analyzing-magic-the-gathering-cards-1810.03744"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-latent-variable-recovery-for-generative-adversarial-networks-1810.03764</loc><lastmod>2018-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-latent-variable-recovery-for-generative-adversarial-networks-1810.03764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-latent-variable-recovery-for-generative-adversarial-networks-1810.03764"/></url>
<url><loc>https://scifaro.com/en/abs/average-margin-regularization-for-classifiers-1810.03773</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/average-margin-regularization-for-classifiers-1810.03773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/average-margin-regularization-for-classifiers-1810.03773"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-improving-agent-design-1810.03779</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-improving-agent-design-1810.03779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-improving-agent-design-1810.03779"/></url>
<url><loc>https://scifaro.com/en/abs/the-outer-product-structure-of-neural-network-derivatives-1810.03798</loc><lastmod>2018-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-outer-product-structure-of-neural-network-derivatives-1810.03798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-outer-product-structure-of-neural-network-derivatives-1810.03798"/></url>
<url><loc>https://scifaro.com/en/abs/what-made-you-do-this-understanding-black-box-decisions-with-sufficient-input-subsets-1810.03805</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-made-you-do-this-understanding-black-box-decisions-with-sufficient-input-subsets-1810.03805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-made-you-do-this-understanding-black-box-decisions-with-sufficient-input-subsets-1810.03805"/></url>
<url><loc>https://scifaro.com/en/abs/the-adversarial-attack-and-detection-under-the-fisher-information-metric-1810.03806</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-adversarial-attack-and-detection-under-the-fisher-information-metric-1810.03806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-adversarial-attack-and-detection-under-the-fisher-information-metric-1810.03806"/></url>
<url><loc>https://scifaro.com/en/abs/learning-bounds-for-greedy-approximation-with-explicit-feature-maps-from-multiple-kernels-1810.03817</loc><lastmod>2018-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-bounds-for-greedy-approximation-with-explicit-feature-maps-from-multiple-kernels-1810.03817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-bounds-for-greedy-approximation-with-explicit-feature-maps-from-multiple-kernels-1810.03817"/></url>
<url><loc>https://scifaro.com/en/abs/continual-state-representation-learning-for-reinforcement-learning-using-generative-replay-1810.03880</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-state-representation-learning-for-reinforcement-learning-using-generative-replay-1810.03880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-state-representation-learning-for-reinforcement-learning-using-generative-replay-1810.03880"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-the-noise-robustness-of-deep-neural-networks-1810.03913</loc><lastmod>2018-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-the-noise-robustness-of-deep-neural-networks-1810.03913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-the-noise-robustness-of-deep-neural-networks-1810.03913"/></url>
<url><loc>https://scifaro.com/en/abs/deterministic-variational-inference-for-robust-bayesian-neural-networks-1810.03958</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deterministic-variational-inference-for-robust-bayesian-neural-networks-1810.03958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deterministic-variational-inference-for-robust-bayesian-neural-networks-1810.03958"/></url>
<url><loc>https://scifaro.com/en/abs/model-cards-for-model-reporting-1810.03993</loc><lastmod>2019-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-cards-for-model-reporting-1810.03993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-cards-for-model-reporting-1810.03993"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-improving-recurrent-networks-for-human-activity-recognition-by-continuous-attention-1810.04038</loc><lastmod>2018-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-improving-recurrent-networks-for-human-activity-recognition-by-continuous-attention-1810.04038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-improving-recurrent-networks-for-human-activity-recognition-by-continuous-attention-1810.04038"/></url>
<url><loc>https://scifaro.com/en/abs/a-family-of-maximum-margin-criterion-for-adaptive-learning-1810.04064</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-family-of-maximum-margin-criterion-for-adaptive-learning-1810.04064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-family-of-maximum-margin-criterion-for-adaptive-learning-1810.04064"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-with-differential-gaussian-process-flows-1810.04066</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-with-differential-gaussian-process-flows-1810.04066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-with-differential-gaussian-process-flows-1810.04066"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-the-gap-between-regret-minimization-and-best-arm-identification-with-application-to-a-b-tests-1810.04088</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-the-gap-between-regret-minimization-and-best-arm-identification-with-application-to-a-b-tests-1810.04088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-the-gap-between-regret-minimization-and-best-arm-identification-with-application-to-a-b-tests-1810.04088"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-general-purpose-active-learning-strategies-1810.04114</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-general-purpose-active-learning-strategies-1810.04114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-general-purpose-active-learning-strategies-1810.04114"/></url>
<url><loc>https://scifaro.com/en/abs/learning-one-hidden-layer-neural-networks-under-general-input-distributions-1810.04133</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-one-hidden-layer-neural-networks-under-general-input-distributions-1810.04133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-one-hidden-layer-neural-networks-under-general-input-distributions-1810.04133"/></url>
<url><loc>https://scifaro.com/en/abs/entropic-gans-meet-vaes-a-statistical-approach-to-compute-sample-likelihoods-in-gans-1810.04147</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropic-gans-meet-vaes-a-statistical-approach-to-compute-sample-likelihoods-in-gans-1810.04147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropic-gans-meet-vaes-a-statistical-approach-to-compute-sample-likelihoods-in-gans-1810.04147"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-reparameterized-gradient-estimators-for-monte-carlo-objectives-1810.04152</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-reparameterized-gradient-estimators-for-monte-carlo-objectives-1810.04152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-reparameterized-gradient-estimators-for-monte-carlo-objectives-1810.04152"/></url>
<url><loc>https://scifaro.com/en/abs/optimized-gated-deep-learning-architectures-for-sensor-fusion-1810.04160</loc><lastmod>2018-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimized-gated-deep-learning-architectures-for-sensor-fusion-1810.04160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimized-gated-deep-learning-architectures-for-sensor-fusion-1810.04160"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-multiscale-cardiac-electrophysiology-with-machine-learning-and-predictive-modelling-1810.04227</loc><lastmod>2018-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-multiscale-cardiac-electrophysiology-with-machine-learning-and-predictive-modelling-1810.04227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-multiscale-cardiac-electrophysiology-with-machine-learning-and-predictive-modelling-1810.04227"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-network-compression-for-aircraft-collision-avoidance-systems-1810.04240</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-compression-for-aircraft-collision-avoidance-systems-1810.04240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-compression-for-aircraft-collision-avoidance-systems-1810.04240"/></url>
<url><loc>https://scifaro.com/en/abs/deep-clustering-on-the-link-between-discriminative-models-and-k-means-1810.04246</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-clustering-on-the-link-between-discriminative-models-and-k-means-1810.04246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-clustering-on-the-link-between-discriminative-models-and-k-means-1810.04246"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-using-stochastic-gates-1810.04247</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-using-stochastic-gates-1810.04247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-using-stochastic-gates-1810.04247"/></url>
<url><loc>https://scifaro.com/en/abs/batch-active-preference-based-learning-of-reward-functions-1810.04303</loc><lastmod>2018-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-active-preference-based-learning-of-reward-functions-1810.04303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-active-preference-based-learning-of-reward-functions-1810.04303"/></url>
<url><loc>https://scifaro.com/en/abs/multi-institutional-deep-learning-modeling-without-sharing-patient-data-a-feasibility-study-on-brain-tumor-segmentation-1810.04304</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-institutional-deep-learning-modeling-without-sharing-patient-data-a-feasibility-study-on-brain-tumor-segmentation-1810.04304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-institutional-deep-learning-modeling-without-sharing-patient-data-a-feasibility-study-on-brain-tumor-segmentation-1810.04304"/></url>
<url><loc>https://scifaro.com/en/abs/combining-bayesian-optimization-and-lipschitz-optimization-1810.04336</loc><lastmod>2020-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-bayesian-optimization-and-lipschitz-optimization-1810.04336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-bayesian-optimization-and-lipschitz-optimization-1810.04336"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-clustering-for-de-duplication-1810.04361</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-clustering-for-de-duplication-1810.04361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-clustering-for-de-duplication-1810.04361"/></url>
<url><loc>https://scifaro.com/en/abs/lazy-cfr-fast-and-near-optimal-regret-minimization-for-extensive-games-with-imperfect-information-1810.04433</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lazy-cfr-fast-and-near-optimal-regret-minimization-for-extensive-games-with-imperfect-information-1810.04433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lazy-cfr-fast-and-near-optimal-regret-minimization-for-extensive-games-with-imperfect-information-1810.04433"/></url>
<url><loc>https://scifaro.com/en/abs/persistence-pays-off-paying-attention-to-what-the-lstm-gating-mechanism-persists-1810.04437</loc><lastmod>2018-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/persistence-pays-off-paying-attention-to-what-the-lstm-gating-mechanism-persists-1810.04437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/persistence-pays-off-paying-attention-to-what-the-lstm-gating-mechanism-persists-1810.04437"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-cooperative-stochastic-bandits-1810.04468</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-cooperative-stochastic-bandits-1810.04468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-cooperative-stochastic-bandits-1810.04468"/></url>
<url><loc>https://scifaro.com/en/abs/domain-confusion-with-self-ensembling-for-unsupervised-adaptation-1810.04472</loc><lastmod>2020-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-confusion-with-self-ensembling-for-unsupervised-adaptation-1810.04472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-confusion-with-self-ensembling-for-unsupervised-adaptation-1810.04472"/></url>
<url><loc>https://scifaro.com/en/abs/multi-class-classification-model-inspired-by-quantum-detection-theory-1810.04491</loc><lastmod>2018-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-class-classification-model-inspired-by-quantum-detection-theory-1810.04491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-class-classification-model-inspired-by-quantum-detection-theory-1810.04491"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-time-scheduling-in-rf-powered-backscatter-cognitive-radio-networks-1810.04520</loc><lastmod>2018-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-time-scheduling-in-rf-powered-backscatter-cognitive-radio-networks-1810.04520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-time-scheduling-in-rf-powered-backscatter-cognitive-radio-networks-1810.04520"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-approach-to-the-inversion-of-borehole-resistivity-measurements-1810.04522</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-the-inversion-of-borehole-resistivity-measurements-1810.04522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-the-inversion-of-borehole-resistivity-measurements-1810.04522"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-enactive-learning-for-autonomous-intelligent-agents-1810.04535</loc><lastmod>2018-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-enactive-learning-for-autonomous-intelligent-agents-1810.04535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-enactive-learning-for-autonomous-intelligent-agents-1810.04535"/></url>
<url><loc>https://scifaro.com/en/abs/improvement-of-k-mean-clustering-algorithm-based-on-density-1810.04559</loc><lastmod>2018-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improvement-of-k-mean-clustering-algorithm-based-on-density-1810.04559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improvement-of-k-mean-clustering-algorithm-based-on-density-1810.04559"/></url>
<url><loc>https://scifaro.com/en/abs/building-a-reproducible-machine-learning-pipeline-1810.04570</loc><lastmod>2018-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-a-reproducible-machine-learning-pipeline-1810.04570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-a-reproducible-machine-learning-pipeline-1810.04570"/></url>
<url><loc>https://scifaro.com/en/abs/the-laplacian-in-rl-learning-representations-with-efficient-approximations-1810.04586</loc><lastmod>2018-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-laplacian-in-rl-learning-representations-with-efficient-approximations-1810.04586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-laplacian-in-rl-learning-representations-with-efficient-approximations-1810.04586"/></url>
<url><loc>https://scifaro.com/en/abs/virtual-battery-parameter-identification-using-transfer-learning-based-stacked-autoencoder-1810.04642</loc><lastmod>2018-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/virtual-battery-parameter-identification-using-transfer-learning-based-stacked-autoencoder-1810.04642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/virtual-battery-parameter-identification-using-transfer-learning-based-stacked-autoencoder-1810.04642"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-as-multi-objective-optimization-1810.04650</loc><lastmod>2019-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-as-multi-objective-optimization-1810.04650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-as-multi-objective-optimization-1810.04650"/></url>
<url><loc>https://scifaro.com/en/abs/training-generative-adversarial-networks-with-binary-neurons-by-end-to-end-backpropagation-1810.04714</loc><lastmod>2018-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-generative-adversarial-networks-with-binary-neurons-by-end-to-end-backpropagation-1810.04714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-generative-adversarial-networks-with-binary-neurons-by-end-to-end-backpropagation-1810.04714"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-clustering-using-maximal-matrix-norm-couplings-1810.04738</loc><lastmod>2018-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-clustering-using-maximal-matrix-norm-couplings-1810.04738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-clustering-using-maximal-matrix-norm-couplings-1810.04738"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-tensor-decomposition-with-boolean-factors-1810.04754</loc><lastmod>2020-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-tensor-decomposition-with-boolean-factors-1810.04754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-tensor-decomposition-with-boolean-factors-1810.04754"/></url>
<url><loc>https://scifaro.com/en/abs/a-blended-deep-learning-approach-for-predicting-user-intended-actions-1810.04824</loc><lastmod>2018-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-blended-deep-learning-approach-for-predicting-user-intended-actions-1810.04824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-blended-deep-learning-approach-for-predicting-user-intended-actions-1810.04824"/></url>
<url><loc>https://scifaro.com/en/abs/moanofs-multi-objective-automated-negotiation-based-online-feature-selection-system-for-big-data-classification-1810.04903</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moanofs-multi-objective-automated-negotiation-based-online-feature-selection-system-for-big-data-classification-1810.04903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moanofs-multi-objective-automated-negotiation-based-online-feature-selection-system-for-big-data-classification-1810.04903"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-high-fidelity-imitation-training-large-scale-deep-nets-with-rl-1810.05017</loc><lastmod>2018-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-high-fidelity-imitation-training-large-scale-deep-nets-with-rl-1810.05017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-high-fidelity-imitation-training-large-scale-deep-nets-with-rl-1810.05017"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-for-fair-regression-1810.05041</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-for-fair-regression-1810.05041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-for-fair-regression-1810.05041"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-based-evaluation-of-nearest-neighbor-models-put-into-practice-1810.05064</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-based-evaluation-of-nearest-neighbor-models-put-into-practice-1810.05064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-based-evaluation-of-nearest-neighbor-models-put-into-practice-1810.05064"/></url>
<url><loc>https://scifaro.com/en/abs/taming-the-cross-entropy-loss-1810.05075</loc><lastmod>2018-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taming-the-cross-entropy-loss-1810.05075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taming-the-cross-entropy-loss-1810.05075"/></url>
<url><loc>https://scifaro.com/en/abs/learning-under-misspecified-objective-spaces-1810.05157</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-under-misspecified-objective-spaces-1810.05157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-under-misspecified-objective-spaces-1810.05157"/></url>
<url><loc>https://scifaro.com/en/abs/bilinear-factor-matrix-norm-minimization-for-robust-pca-algorithms-and-applications-1810.05186</loc><lastmod>2018-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bilinear-factor-matrix-norm-minimization-for-robust-pca-algorithms-and-applications-1810.05186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bilinear-factor-matrix-norm-minimization-for-robust-pca-algorithms-and-applications-1810.05186"/></url>
<url><loc>https://scifaro.com/en/abs/mdgan-boosting-anomaly-detection-using-multi-discriminator-generative-adversarial-networks-1810.05221</loc><lastmod>2018-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mdgan-boosting-anomaly-detection-using-multi-discriminator-generative-adversarial-networks-1810.05221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mdgan-boosting-anomaly-detection-using-multi-discriminator-generative-adversarial-networks-1810.05221"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-augmentation-via-data-subsampling-1810.05222</loc><lastmod>2019-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-augmentation-via-data-subsampling-1810.05222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-augmentation-via-data-subsampling-1810.05222"/></url>
<url><loc>https://scifaro.com/en/abs/practical-design-space-exploration-1810.05236</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-design-space-exploration-1810.05236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-design-space-exploration-1810.05236"/></url>
<url><loc>https://scifaro.com/en/abs/piano-genie-1810.05246</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/piano-genie-1810.05246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/piano-genie-1810.05246"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-the-value-of-network-pruning-1810.05270</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-the-value-of-network-pruning-1810.05270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-the-value-of-network-pruning-1810.05270"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-hierarchical-learning-path-design-with-reinforcement-learning-1810.05347</loc><lastmod>2018-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-hierarchical-learning-path-design-with-reinforcement-learning-1810.05347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-hierarchical-learning-path-design-with-reinforcement-learning-1810.05347"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-learning-of-movement-prediction-in-dynamic-environments-using-lstm-autoencoder-1810.05394</loc><lastmod>2018-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-learning-of-movement-prediction-in-dynamic-environments-using-lstm-autoencoder-1810.05394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-learning-of-movement-prediction-in-dynamic-environments-using-lstm-autoencoder-1810.05394"/></url>
<url><loc>https://scifaro.com/en/abs/an-algebraic-geometric-approach-for-linear-regression-without-correspondences-1810.05440</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algebraic-geometric-approach-for-linear-regression-without-correspondences-1810.05440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algebraic-geometric-approach-for-linear-regression-without-correspondences-1810.05440"/></url>
<url><loc>https://scifaro.com/en/abs/mode-normalization-1810.05466</loc><lastmod>2018-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mode-normalization-1810.05466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mode-normalization-1810.05466"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-uncertainty-through-quantization-1810.05500</loc><lastmod>2018-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-uncertainty-through-quantization-1810.05500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-uncertainty-through-quantization-1810.05500"/></url>
<url><loc>https://scifaro.com/en/abs/activity-recognition-using-hierarchical-hidden-markov-models-on-streaming-sensor-data-1810.05504</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/activity-recognition-using-hierarchical-hidden-markov-models-on-streaming-sensor-data-1810.05504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/activity-recognition-using-hierarchical-hidden-markov-models-on-streaming-sensor-data-1810.05504"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-difficulty-awareness-training-for-continuous-emotion-prediction-1810.05507</loc><lastmod>2018-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-difficulty-awareness-training-for-continuous-emotion-prediction-1810.05507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-difficulty-awareness-training-for-continuous-emotion-prediction-1810.05507"/></url>
<url><loc>https://scifaro.com/en/abs/introducing-a-hybrid-model-of-dea-and-data-mining-in-evaluating-efficiency-case-study-bank-branches-1810.05524</loc><lastmod>2018-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introducing-a-hybrid-model-of-dea-and-data-mining-in-evaluating-efficiency-case-study-bank-branches-1810.05524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introducing-a-hybrid-model-of-dea-and-data-mining-in-evaluating-efficiency-case-study-bank-branches-1810.05524"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-configuration-of-deep-neural-networks-with-ego-1810.05526</loc><lastmod>2018-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-configuration-of-deep-neural-networks-with-ego-1810.05526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-configuration-of-deep-neural-networks-with-ego-1810.05526"/></url>
<url><loc>https://scifaro.com/en/abs/empowerment-driven-exploration-using-mutual-information-estimation-1810.05533</loc><lastmod>2018-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empowerment-driven-exploration-using-mutual-information-estimation-1810.05533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empowerment-driven-exploration-using-mutual-information-estimation-1810.05533"/></url>
<url><loc>https://scifaro.com/en/abs/physics-driven-regularization-of-deep-neural-networks-for-enhanced-engineering-design-and-analysis-1810.05547</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-driven-regularization-of-deep-neural-networks-for-enhanced-engineering-design-and-analysis-1810.05547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-driven-regularization-of-deep-neural-networks-for-enhanced-engineering-design-and-analysis-1810.05547"/></url>
<url><loc>https://scifaro.com/en/abs/grand-challenge-real-time-destination-and-eta-prediction-for-maritime-traffic-1810.05567</loc><lastmod>2018-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grand-challenge-real-time-destination-and-eta-prediction-for-maritime-traffic-1810.05567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grand-challenge-real-time-destination-and-eta-prediction-for-maritime-traffic-1810.05567"/></url>
<url><loc>https://scifaro.com/en/abs/custom-dual-transportation-mode-detection-by-smartphone-devices-exploiting-sensor-diversity-1810.05596</loc><lastmod>2018-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/custom-dual-transportation-mode-detection-by-smartphone-devices-exploiting-sensor-diversity-1810.05596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/custom-dual-transportation-mode-detection-by-smartphone-devices-exploiting-sensor-diversity-1810.05596"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-convolutional-memory-networks-for-remaining-useful-life-estimation-of-industrial-machinery-1810.05644</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-convolutional-memory-networks-for-remaining-useful-life-estimation-of-industrial-machinery-1810.05644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-convolutional-memory-networks-for-remaining-useful-life-estimation-of-industrial-machinery-1810.05644"/></url>
<url><loc>https://scifaro.com/en/abs/is-pgd-adversarial-training-necessary-alternative-training-via-a-soft-quantization-network-with-noisy-natural-samples-only-1810.05665</loc><lastmod>2018-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-pgd-adversarial-training-necessary-alternative-training-via-a-soft-quantization-network-with-noisy-natural-samples-only-1810.05665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-pgd-adversarial-training-necessary-alternative-training-via-a-soft-quantization-network-with-noisy-natural-samples-only-1810.05665"/></url>
<url><loc>https://scifaro.com/en/abs/faster-k-medoids-clustering-improving-the-pam-clara-and-clarans-algorithms-1810.05691</loc><lastmod>2024-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-k-medoids-clustering-improving-the-pam-clara-and-clarans-algorithms-1810.05691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-k-medoids-clustering-improving-the-pam-clara-and-clarans-algorithms-1810.05691"/></url>
<url><loc>https://scifaro.com/en/abs/improving-generalization-of-sequence-encoder-decoder-networks-for-inverse-imaging-of-cardiac-transmembrane-potential-1810.05713</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-generalization-of-sequence-encoder-decoder-networks-for-inverse-imaging-of-cardiac-transmembrane-potential-1810.05713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-generalization-of-sequence-encoder-decoder-networks-for-inverse-imaging-of-cardiac-transmembrane-potential-1810.05713"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-information-flow-in-deep-neural-networks-1810.05728</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-information-flow-in-deep-neural-networks-1810.05728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-information-flow-in-deep-neural-networks-1810.05728"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-black-boxes-on-sequential-data-using-weighted-automata-1810.05741</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-black-boxes-on-sequential-data-using-weighted-automata-1810.05741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-black-boxes-on-sequential-data-using-weighted-automata-1810.05741"/></url>
<url><loc>https://scifaro.com/en/abs/graph-hypernetworks-for-neural-architecture-search-1810.05749</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-hypernetworks-for-neural-architecture-search-1810.05749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-hypernetworks-for-neural-architecture-search-1810.05749"/></url>
<url><loc>https://scifaro.com/en/abs/policy-transfer-with-strategy-optimization-1810.05751</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-transfer-with-strategy-optimization-1810.05751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-transfer-with-strategy-optimization-1810.05751"/></url>
<url><loc>https://scifaro.com/en/abs/point-cloud-gan-1810.05795</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/point-cloud-gan-1810.05795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/point-cloud-gan-1810.05795"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-building-floor-classification-and-location-coordinates-regression-using-a-single-input-and-multi-output-deep-neural-network-for-large-scale-indoor-localization-based-on-wi-fi-fingerprinting-1810.05868</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-building-floor-classification-and-location-coordinates-regression-using-a-single-input-and-multi-output-deep-neural-network-for-large-scale-indoor-localization-based-on-wi-fi-fingerprinting-1810.05868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-building-floor-classification-and-location-coordinates-regression-using-a-single-input-and-multi-output-deep-neural-network-for-large-scale-indoor-localization-based-on-wi-fi-fingerprinting-1810.05868"/></url>
<url><loc>https://scifaro.com/en/abs/a-system-for-massively-parallel-hyperparameter-tuning-1810.05934</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-system-for-massively-parallel-hyperparameter-tuning-1810.05934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-system-for-massively-parallel-hyperparameter-tuning-1810.05934"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-guarantees-of-transfer-learning-1810.05986</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-guarantees-of-transfer-learning-1810.05986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-guarantees-of-transfer-learning-1810.05986"/></url>
<url><loc>https://scifaro.com/en/abs/predict-then-propagate-graph-neural-networks-meet-personalized-pagerank-1810.05997</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predict-then-propagate-graph-neural-networks-meet-personalized-pagerank-1810.05997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predict-then-propagate-graph-neural-networks-meet-personalized-pagerank-1810.05997"/></url>
<url><loc>https://scifaro.com/en/abs/an-etf-view-of-dropout-regularization-1810.06049</loc><lastmod>2020-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-etf-view-of-dropout-regularization-1810.06049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-etf-view-of-dropout-regularization-1810.06049"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-learning-of-deep-neural-network-over-multiple-agents-1810.06060</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-learning-of-deep-neural-network-over-multiple-agents-1810.06060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-learning-of-deep-neural-network-over-multiple-agents-1810.06060"/></url>
<url><loc>https://scifaro.com/en/abs/pretzel-opening-the-black-box-of-machine-learning-prediction-serving-systems-1810.06115</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pretzel-opening-the-black-box-of-machine-learning-prediction-serving-systems-1810.06115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pretzel-opening-the-black-box-of-machine-learning-prediction-serving-systems-1810.06115"/></url>
<url><loc>https://scifaro.com/en/abs/variational-neural-networks-every-layer-and-neuron-can-be-unique-1810.06120</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-neural-networks-every-layer-and-neuron-can-be-unique-1810.06120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-neural-networks-every-layer-and-neuron-can-be-unique-1810.06120"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimal-control-approach-to-sequential-machine-teaching-1810.06175</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimal-control-approach-to-sequential-machine-teaching-1810.06175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimal-control-approach-to-sequential-machine-teaching-1810.06175"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-temporal-graphs-using-dynamic-time-warping-1810.06240</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-temporal-graphs-using-dynamic-time-warping-1810.06240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-temporal-graphs-using-dynamic-time-warping-1810.06240"/></url>
<url><loc>https://scifaro.com/en/abs/compressively-sensed-image-recognition-1810.06323</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressively-sensed-image-recognition-1810.06323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressively-sensed-image-recognition-1810.06323"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-1810.06339</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-1810.06339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-1810.06339"/></url>
<url><loc>https://scifaro.com/en/abs/parametrized-deep-q-networks-learning-reinforcement-learning-with-discrete-continuous-hybrid-action-space-1810.06394</loc><lastmod>2018-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametrized-deep-q-networks-learning-reinforcement-learning-with-discrete-continuous-hybrid-action-space-1810.06394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametrized-deep-q-networks-learning-reinforcement-learning-with-discrete-continuous-hybrid-action-space-1810.06394"/></url>
<url><loc>https://scifaro.com/en/abs/hedging-algorithms-and-repeated-matrix-games-1810.06443</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hedging-algorithms-and-repeated-matrix-games-1810.06443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hedging-algorithms-and-repeated-matrix-games-1810.06443"/></url>
<url><loc>https://scifaro.com/en/abs/predictor-corrector-policy-optimization-1810.06509</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictor-corrector-policy-optimization-1810.06509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictor-corrector-policy-optimization-1810.06509"/></url>
<url><loc>https://scifaro.com/en/abs/factorized-machine-self-confidence-for-decision-making-agents-1810.06519</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factorized-machine-self-confidence-for-decision-making-agents-1810.06519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factorized-machine-self-confidence-for-decision-making-agents-1810.06519"/></url>
<url><loc>https://scifaro.com/en/abs/successor-uncertainties-exploration-and-uncertainty-in-temporal-difference-learning-1810.06530</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/successor-uncertainties-exploration-and-uncertainty-in-temporal-difference-learning-1810.06530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/successor-uncertainties-exploration-and-uncertainty-in-temporal-difference-learning-1810.06530"/></url>
<url><loc>https://scifaro.com/en/abs/deep-imitative-models-for-flexible-inference-planning-and-control-1810.06544</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-imitative-models-for-flexible-inference-planning-and-control-1810.06544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-imitative-models-for-flexible-inference-planning-and-control-1810.06544"/></url>
<url><loc>https://scifaro.com/en/abs/concise-explanations-of-neural-networks-using-adversarial-training-1810.06583</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concise-explanations-of-neural-networks-using-adversarial-training-1810.06583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concise-explanations-of-neural-networks-using-adversarial-training-1810.06583"/></url>
<url><loc>https://scifaro.com/en/abs/deep-transfer-reinforcement-learning-for-text-summarization-1810.06667</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-transfer-reinforcement-learning-for-text-summarization-1810.06667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-transfer-reinforcement-learning-for-text-summarization-1810.06667"/></url>
<url><loc>https://scifaro.com/en/abs/named-entity-linking-using-deep-learning-for-legal-documents-a-transfer-learning-approach-1810.06673</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/named-entity-linking-using-deep-learning-for-legal-documents-a-transfer-learning-approach-1810.06673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/named-entity-linking-using-deep-learning-for-legal-documents-a-transfer-learning-approach-1810.06673"/></url>
<url><loc>https://scifaro.com/en/abs/trellis-networks-for-sequence-modeling-1810.06682</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trellis-networks-for-sequence-modeling-1810.06682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trellis-networks-for-sequence-modeling-1810.06682"/></url>
<url><loc>https://scifaro.com/en/abs/column-generation-based-math-heuristic-for-classification-trees-1810.06684</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/column-generation-based-math-heuristic-for-classification-trees-1810.06684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/column-generation-based-math-heuristic-for-classification-trees-1810.06684"/></url>
<url><loc>https://scifaro.com/en/abs/using-deep-reinforcement-learning-for-the-continuous-control-of-robotic-arms-1810.06746</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-deep-reinforcement-learning-for-the-continuous-control-of-robotic-arms-1810.06746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-deep-reinforcement-learning-for-the-continuous-control-of-robotic-arms-1810.06746"/></url>
<url><loc>https://scifaro.com/en/abs/optimally-rotated-coordinate-systems-for-adaptive-least-squares-regression-on-sparse-grids-1810.06749</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimally-rotated-coordinate-systems-for-adaptive-least-squares-regression-on-sparse-grids-1810.06749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimally-rotated-coordinate-systems-for-adaptive-least-squares-regression-on-sparse-grids-1810.06749"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-fair-representations-in-the-data-domain-1810.06755</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-fair-representations-in-the-data-domain-1810.06755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-fair-representations-in-the-data-domain-1810.06755"/></url>
<url><loc>https://scifaro.com/en/abs/a-block-coordinate-descent-proximal-method-for-simultaneous-filtering-and-parameter-estimation-1810.06759</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-block-coordinate-descent-proximal-method-for-simultaneous-filtering-and-parameter-estimation-1810.06759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-block-coordinate-descent-proximal-method-for-simultaneous-filtering-and-parameter-estimation-1810.06759"/></url>
<url><loc>https://scifaro.com/en/abs/evolutionary-stochastic-gradient-descent-for-optimization-of-deep-neural-networks-1810.06773</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolutionary-stochastic-gradient-descent-for-optimization-of-deep-neural-networks-1810.06773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolutionary-stochastic-gradient-descent-for-optimization-of-deep-neural-networks-1810.06773"/></url>
<url><loc>https://scifaro.com/en/abs/promp-proximal-meta-policy-search-1810.06784</loc><lastmod>2022-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/promp-proximal-meta-policy-search-1810.06784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/promp-proximal-meta-policy-search-1810.06784"/></url>
<url><loc>https://scifaro.com/en/abs/learning-two-layer-neural-networks-with-symmetric-inputs-1810.06793</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-two-layer-neural-networks-with-symmetric-inputs-1810.06793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-two-layer-neural-networks-with-symmetric-inputs-1810.06793"/></url>
<url><loc>https://scifaro.com/en/abs/quasi-hyperbolic-momentum-and-adam-for-deep-learning-1810.06801</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quasi-hyperbolic-momentum-and-adam-for-deep-learning-1810.06801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quasi-hyperbolic-momentum-and-adam-for-deep-learning-1810.06801"/></url>
<url><loc>https://scifaro.com/en/abs/morph-flexible-acceleration-for-3d-cnn-based-video-understanding-1810.06807</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/morph-flexible-acceleration-for-3d-cnn-based-video-understanding-1810.06807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/morph-flexible-acceleration-for-3d-cnn-based-video-understanding-1810.06807"/></url>
<url><loc>https://scifaro.com/en/abs/fast-randomized-pca-for-sparse-data-1810.06825</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-randomized-pca-for-sparse-data-1810.06825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-randomized-pca-for-sparse-data-1810.06825"/></url>
<url><loc>https://scifaro.com/en/abs/maximizing-monotone-dr-submodular-continuous-functions-by-derivative-free-optimization-1810.06833</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximizing-monotone-dr-submodular-continuous-functions-by-derivative-free-optimization-1810.06833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximizing-monotone-dr-submodular-continuous-functions-by-derivative-free-optimization-1810.06833"/></url>
<url><loc>https://scifaro.com/en/abs/sharp-analysis-of-learning-with-discrete-losses-1810.06839</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharp-analysis-of-learning-with-discrete-losses-1810.06839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharp-analysis-of-learning-with-discrete-losses-1810.06839"/></url>
<url><loc>https://scifaro.com/en/abs/faster-matrix-completion-using-randomized-svd-1810.06860</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-matrix-completion-using-randomized-svd-1810.06860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-matrix-completion-using-randomized-svd-1810.06860"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-deep-learning-across-multiple-data-centers-1810.06877</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-deep-learning-across-multiple-data-centers-1810.06877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-deep-learning-across-multiple-data-centers-1810.06877"/></url>
<url><loc>https://scifaro.com/en/abs/the-loracs-prior-for-vaes-letting-the-trees-speak-for-the-data-1810.06891</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-loracs-prior-for-vaes-letting-the-trees-speak-for-the-data-1810.06891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-loracs-prior-for-vaes-letting-the-trees-speak-for-the-data-1810.06891"/></url>
<url><loc>https://scifaro.com/en/abs/tne-a-latent-model-for-representation-learning-on-networks-1810.06917</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tne-a-latent-model-for-representation-learning-on-networks-1810.06917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tne-a-latent-model-for-representation-learning-on-networks-1810.06917"/></url>
<url><loc>https://scifaro.com/en/abs/topographic-representation-for-quantum-machine-learning-1810.06992</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topographic-representation-for-quantum-machine-learning-1810.06992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topographic-representation-for-quantum-machine-learning-1810.06992"/></url>
<url><loc>https://scifaro.com/en/abs/shallow-deep-networks-understanding-and-mitigating-network-overthinking-1810.07052</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shallow-deep-networks-understanding-and-mitigating-network-overthinking-1810.07052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shallow-deep-networks-understanding-and-mitigating-network-overthinking-1810.07052"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-negative-mining-for-learning-with-large-output-spaces-1810.07076</loc><lastmod>2018-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-negative-mining-for-learning-with-large-output-spaces-1810.07076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-negative-mining-for-learning-with-large-output-spaces-1810.07076"/></url>
<url><loc>https://scifaro.com/en/abs/hunting-for-discriminatory-proxies-in-linear-regression-models-1810.07155</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hunting-for-discriminatory-proxies-in-linear-regression-models-1810.07155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hunting-for-discriminatory-proxies-in-linear-regression-models-1810.07155"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-evaluation-of-imbalanced-data-strategies-from-a-practitioner-s-point-of-view-1810.07168</loc><lastmod>2023-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-imbalanced-data-strategies-from-a-practitioner-s-point-of-view-1810.07168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-imbalanced-data-strategies-from-a-practitioner-s-point-of-view-1810.07168"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-few-shot-learning-with-attention-attractor-networks-1810.07218</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-few-shot-learning-with-attention-attractor-networks-1810.07218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-few-shot-learning-with-attention-attractor-networks-1810.07218"/></url>
<url><loc>https://scifaro.com/en/abs/reduced-gate-convolutional-lstm-using-predictive-coding-for-spatiotemporal-prediction-1810.07251</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reduced-gate-convolutional-lstm-using-predictive-coding-for-spatiotemporal-prediction-1810.07251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reduced-gate-convolutional-lstm-using-predictive-coding-for-spatiotemporal-prediction-1810.07251"/></url>
<url><loc>https://scifaro.com/en/abs/the-concept-of-criticality-in-reinforcement-learning-1810.07254</loc><lastmod>2018-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-concept-of-criticality-in-reinforcement-learning-1810.07254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-concept-of-criticality-in-reinforcement-learning-1810.07254"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-faster-convergence-of-sgd-for-over-parameterized-models-and-an-accelerated-perceptron-1810.07288</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-faster-convergence-of-sgd-for-over-parameterized-models-and-an-accelerated-perceptron-1810.07288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-faster-convergence-of-sgd-for-over-parameterized-models-and-an-accelerated-perceptron-1810.07288"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-maps-1810.07291</loc><lastmod>2018-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-maps-1810.07291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-maps-1810.07291"/></url>
<url><loc>https://scifaro.com/en/abs/online-markov-decoding-lower-bounds-and-near-optimal-approximation-algorithms-1810.07301</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-markov-decoding-lower-bounds-and-near-optimal-approximation-algorithms-1810.07301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-markov-decoding-lower-bounds-and-near-optimal-approximation-algorithms-1810.07301"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-atomization-energy-using-graph-kernel-and-active-learning-1810.07310</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-atomization-energy-using-graph-kernel-and-active-learning-1810.07310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-atomization-energy-using-graph-kernel-and-active-learning-1810.07310"/></url>
<url><loc>https://scifaro.com/en/abs/functionality-oriented-convolutional-filter-pruning-1810.07322</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functionality-oriented-convolutional-filter-pruning-1810.07322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functionality-oriented-convolutional-filter-pruning-1810.07322"/></url>
<url><loc>https://scifaro.com/en/abs/security-matters-a-survey-on-adversarial-machine-learning-1810.07339</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/security-matters-a-survey-on-adversarial-machine-learning-1810.07339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/security-matters-a-survey-on-adversarial-machine-learning-1810.07339"/></url>
<url><loc>https://scifaro.com/en/abs/autonomous-deep-learning-continual-learning-approach-for-dynamic-environments-1810.07348</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autonomous-deep-learning-continual-learning-approach-for-dynamic-environments-1810.07348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autonomous-deep-learning-continual-learning-approach-for-dynamic-environments-1810.07348"/></url>
<url><loc>https://scifaro.com/en/abs/fault-tolerance-in-iterative-convergent-machine-learning-1810.07354</loc><lastmod>2018-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fault-tolerance-in-iterative-convergent-machine-learning-1810.07354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fault-tolerance-in-iterative-convergent-machine-learning-1810.07354"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-non-convex-games-with-an-optimization-oracle-1810.07362</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-non-convex-games-with-an-optimization-oracle-1810.07362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-non-convex-games-with-an-optimization-oracle-1810.07362"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-compositional-spaces-for-generalized-zero-shot-learning-1810.07368</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-compositional-spaces-for-generalized-zero-shot-learning-1810.07368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-compositional-spaces-for-generalized-zero-shot-learning-1810.07368"/></url>
<url><loc>https://scifaro.com/en/abs/xjtluindoorloc-a-new-fingerprinting-database-for-indoor-localization-and-trajectory-estimation-based-on-wi-fi-rss-and-geomagnetic-field-1810.07377</loc><lastmod>2018-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xjtluindoorloc-a-new-fingerprinting-database-for-indoor-localization-and-trajectory-estimation-based-on-wi-fi-rss-and-geomagnetic-field-1810.07377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xjtluindoorloc-a-new-fingerprinting-database-for-indoor-localization-and-trajectory-estimation-based-on-wi-fi-rss-and-geomagnetic-field-1810.07377"/></url>
<url><loc>https://scifaro.com/en/abs/progressive-weight-pruning-of-deep-neural-networks-using-admm-1810.07378</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progressive-weight-pruning-of-deep-neural-networks-using-admm-1810.07378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progressive-weight-pruning-of-deep-neural-networks-using-admm-1810.07378"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-balancing-for-causal-inference-1810.07406</loc><lastmod>2020-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-balancing-for-causal-inference-1810.07406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-balancing-for-causal-inference-1810.07406"/></url>
<url><loc>https://scifaro.com/en/abs/provable-robustness-of-relu-networks-via-maximization-of-linear-regions-1810.07481</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-robustness-of-relu-networks-via-maximization-of-linear-regions-1810.07481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-robustness-of-relu-networks-via-maximization-of-linear-regions-1810.07481"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-power-control-for-quality-driven-wireless-video-transmissions-1810.07548</loc><lastmod>2018-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-power-control-for-quality-driven-wireless-video-transmissions-1810.07548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-power-control-for-quality-driven-wireless-video-transmissions-1810.07548"/></url>
<url><loc>https://scifaro.com/en/abs/the-newton-scheme-for-deep-learning-1810.07550</loc><lastmod>2018-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-newton-scheme-for-deep-learning-1810.07550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-newton-scheme-for-deep-learning-1810.07550"/></url>
<url><loc>https://scifaro.com/en/abs/deep-diabetologist-learning-to-prescribe-hyperglycemia-medications-with-hierarchical-recurrent-neural-networks-1810.07692</loc><lastmod>2018-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-diabetologist-learning-to-prescribe-hyperglycemia-medications-with-hierarchical-recurrent-neural-networks-1810.07692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-diabetologist-learning-to-prescribe-hyperglycemia-medications-with-hierarchical-recurrent-neural-networks-1810.07692"/></url>
<url><loc>https://scifaro.com/en/abs/rin-close-cvc2-an-even-more-efficient-enumerative-algorithm-for-biclustering-of-numerical-datasets-1810.07725</loc><lastmod>2018-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rin-close-cvc2-an-even-more-efficient-enumerative-algorithm-for-biclustering-of-numerical-datasets-1810.07725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rin-close-cvc2-an-even-more-efficient-enumerative-algorithm-for-biclustering-of-numerical-datasets-1810.07725"/></url>
<url><loc>https://scifaro.com/en/abs/a-bi-layered-parallel-training-architecture-for-large-scale-convolutional-neural-networks-1810.07742</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bi-layered-parallel-training-architecture-for-large-scale-convolutional-neural-networks-1810.07742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bi-layered-parallel-training-architecture-for-large-scale-convolutional-neural-networks-1810.07742"/></url>
<url><loc>https://scifaro.com/en/abs/the-ucr-time-series-archive-1810.07758</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-ucr-time-series-archive-1810.07758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-ucr-time-series-archive-1810.07758"/></url>
<url><loc>https://scifaro.com/en/abs/a-disease-diagnosis-and-treatment-recommendation-system-based-on-big-data-mining-and-cloud-computing-1810.07762</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-disease-diagnosis-and-treatment-recommendation-system-based-on-big-data-mining-and-cloud-computing-1810.07762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-disease-diagnosis-and-treatment-recommendation-system-based-on-big-data-mining-and-cloud-computing-1810.07762"/></url>
<url><loc>https://scifaro.com/en/abs/small-relu-networks-are-powerful-memorizers-a-tight-analysis-of-memorization-capacity-1810.07770</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-relu-networks-are-powerful-memorizers-a-tight-analysis-of-memorization-capacity-1810.07770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-relu-networks-are-powerful-memorizers-a-tight-analysis-of-memorization-capacity-1810.07770"/></url>
<url><loc>https://scifaro.com/en/abs/a-periodicity-based-parallel-time-series-prediction-algorithm-in-cloud-computing-environments-1810.07776</loc><lastmod>2018-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-periodicity-based-parallel-time-series-prediction-algorithm-in-cloud-computing-environments-1810.07776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-periodicity-based-parallel-time-series-prediction-algorithm-in-cloud-computing-environments-1810.07776"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-ensemble-active-learning-a-non-stationary-bandit-with-expert-advice-1810.07778</loc><lastmod>2018-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-ensemble-active-learning-a-non-stationary-bandit-with-expert-advice-1810.07778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-ensemble-active-learning-a-non-stationary-bandit-with-expert-advice-1810.07778"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-fully-decentralized-value-function-learning-with-linear-convergence-rates-1810.07792</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-fully-decentralized-value-function-learning-with-linear-convergence-rates-1810.07792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-fully-decentralized-value-function-learning-with-linear-convergence-rates-1810.07792"/></url>
<url><loc>https://scifaro.com/en/abs/the-wasserstein-transform-1810.07793</loc><lastmod>2026-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-wasserstein-transform-1810.07793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-wasserstein-transform-1810.07793"/></url>
<url><loc>https://scifaro.com/en/abs/on-statistical-learning-of-simplices-unmixing-problem-revisited-1810.07845</loc><lastmod>2020-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-statistical-learning-of-simplices-unmixing-problem-revisited-1810.07845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-statistical-learning-of-simplices-unmixing-problem-revisited-1810.07845"/></url>
<url><loc>https://scifaro.com/en/abs/a-self-organizing-tensor-architecture-for-multi-view-clustering-1810.07874</loc><lastmod>2018-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-self-organizing-tensor-architecture-for-multi-view-clustering-1810.07874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-self-organizing-tensor-architecture-for-multi-view-clustering-1810.07874"/></url>
<url><loc>https://scifaro.com/en/abs/policy-gradient-in-partially-observable-environments-approximation-and-convergence-1810.07900</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-gradient-in-partially-observable-environments-approximation-and-convergence-1810.07900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-gradient-in-partially-observable-environments-approximation-and-convergence-1810.07900"/></url>
<url><loc>https://scifaro.com/en/abs/an-upper-bound-for-random-measurement-error-in-causal-discovery-1810.07973</loc><lastmod>2022-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-upper-bound-for-random-measurement-error-in-causal-discovery-1810.07973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-upper-bound-for-random-measurement-error-in-causal-discovery-1810.07973"/></url>
<url><loc>https://scifaro.com/en/abs/first-order-and-second-order-variants-of-the-gradient-descent-in-a-unified-framework-1810.08102</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/first-order-and-second-order-variants-of-the-gradient-descent-in-a-unified-framework-1810.08102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/first-order-and-second-order-variants-of-the-gradient-descent-in-a-unified-framework-1810.08102"/></url>
<url><loc>https://scifaro.com/en/abs/ktan-knowledge-transfer-adversarial-network-1810.08126</loc><lastmod>2018-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ktan-knowledge-transfer-adversarial-network-1810.08126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ktan-knowledge-transfer-adversarial-network-1810.08126"/></url>
<url><loc>https://scifaro.com/en/abs/fast-deep-reinforcement-learning-using-online-adjustments-from-the-past-1810.08163</loc><lastmod>2018-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-deep-reinforcement-learning-using-online-adjustments-from-the-past-1810.08163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-deep-reinforcement-learning-using-online-adjustments-from-the-past-1810.08163"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-agreement-as-an-optimization-objective-for-meta-learning-1810.08178</loc><lastmod>2018-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-agreement-as-an-optimization-objective-for-meta-learning-1810.08178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-agreement-as-an-optimization-objective-for-meta-learning-1810.08178"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-methods-for-reynolds-averaged-navier-stokes-simulations-of-airfoil-flows-1810.08217</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-methods-for-reynolds-averaged-navier-stokes-simulations-of-airfoil-flows-1810.08217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-methods-for-reynolds-averaged-navier-stokes-simulations-of-airfoil-flows-1810.08217"/></url>
<url><loc>https://scifaro.com/en/abs/micro-browsing-models-for-search-snippets-1810.08223</loc><lastmod>2018-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/micro-browsing-models-for-search-snippets-1810.08223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/micro-browsing-models-for-search-snippets-1810.08223"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-adversarial-examples-in-malware-detection-1810.08280</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-adversarial-examples-in-malware-detection-1810.08280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-adversarial-examples-in-malware-detection-1810.08280"/></url>
<url><loc>https://scifaro.com/en/abs/open-vocabulary-learning-on-source-code-with-a-graph-structured-cache-1810.08305</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-vocabulary-learning-on-source-code-with-a-graph-structured-cache-1810.08305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-vocabulary-learning-on-source-code-with-a-graph-structured-cache-1810.08305"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-anomalous-data-space-specification-1810.08309</loc><lastmod>2018-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-anomalous-data-space-specification-1810.08309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-anomalous-data-space-specification-1810.08309"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-communication-strategies-to-achieve-the-best-error-runtime-trade-off-in-local-update-sgd-1810.08313</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-communication-strategies-to-achieve-the-best-error-runtime-trade-off-in-local-update-sgd-1810.08313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-communication-strategies-to-achieve-the-best-error-runtime-trade-off-in-local-update-sgd-1810.08313"/></url>
<url><loc>https://scifaro.com/en/abs/sequenced-replacement-sampling-for-deep-learning-1810.08322</loc><lastmod>2018-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequenced-replacement-sampling-for-deep-learning-1810.08322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequenced-replacement-sampling-for-deep-learning-1810.08322"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multi-layer-transform-models-1810.08323</loc><lastmod>2018-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multi-layer-transform-models-1810.08323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multi-layer-transform-models-1810.08323"/></url>
<url><loc>https://scifaro.com/en/abs/exchangeability-and-kernel-invariance-in-trained-mlps-1810.08351</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exchangeability-and-kernel-invariance-in-trained-mlps-1810.08351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exchangeability-and-kernel-invariance-in-trained-mlps-1810.08351"/></url>
<url><loc>https://scifaro.com/en/abs/malicious-web-domain-identification-using-online-credibility-and-performance-data-by-considering-the-class-imbalance-issue-1810.08359</loc><lastmod>2018-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/malicious-web-domain-identification-using-online-credibility-and-performance-data-by-considering-the-class-imbalance-issue-1810.08359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/malicious-web-domain-identification-using-online-credibility-and-performance-data-by-considering-the-class-imbalance-issue-1810.08359"/></url>
<url><loc>https://scifaro.com/en/abs/generative-low-shot-network-expansion-1810.08363</loc><lastmod>2018-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-low-shot-network-expansion-1810.08363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-low-shot-network-expansion-1810.08363"/></url>
<url><loc>https://scifaro.com/en/abs/invocation-driven-neural-approximate-computing-with-a-multiclass-classifier-and-multiple-approximators-1810.08379</loc><lastmod>2018-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invocation-driven-neural-approximate-computing-with-a-multiclass-classifier-and-multiple-approximators-1810.08379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invocation-driven-neural-approximate-computing-with-a-multiclass-classifier-and-multiple-approximators-1810.08379"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-versus-multi-agent-learning-regarding-distributed-decision-making-in-highway-traffic-1810.08515</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-versus-multi-agent-learning-regarding-distributed-decision-making-in-highway-traffic-1810.08515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-versus-multi-agent-learning-regarding-distributed-decision-making-in-highway-traffic-1810.08515"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-integro-differential-operator-regression-with-neural-networks-1810.08552</loc><lastmod>2018-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-integro-differential-operator-regression-with-neural-networks-1810.08552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-integro-differential-operator-regression-with-neural-networks-1810.08552"/></url>
<url><loc>https://scifaro.com/en/abs/supervising-strong-learners-by-amplifying-weak-experts-1810.08575</loc><lastmod>2018-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervising-strong-learners-by-amplifying-weak-experts-1810.08575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervising-strong-learners-by-amplifying-weak-experts-1810.08575"/></url>
<url><loc>https://scifaro.com/en/abs/a-modern-take-on-the-bias-variance-tradeoff-in-neural-networks-1810.08591</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-modern-take-on-the-bias-variance-tradeoff-in-neural-networks-1810.08591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-modern-take-on-the-bias-variance-tradeoff-in-neural-networks-1810.08591"/></url>
<url><loc>https://scifaro.com/en/abs/a-stacked-autoencoder-neural-network-based-automated-feature-extraction-method-for-anomaly-detection-in-on-line-condition-monitoring-1810.08609</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stacked-autoencoder-neural-network-based-automated-feature-extraction-method-for-anomaly-detection-in-on-line-condition-monitoring-1810.08609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stacked-autoencoder-neural-network-based-automated-feature-extraction-method-for-anomaly-detection-in-on-line-condition-monitoring-1810.08609"/></url>
<url><loc>https://scifaro.com/en/abs/cnn-inference-acceleration-using-dictionary-of-centroids-1810.08612</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cnn-inference-acceleration-using-dictionary-of-centroids-1810.08612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cnn-inference-acceleration-using-dictionary-of-centroids-1810.08612"/></url>
<url><loc>https://scifaro.com/en/abs/on-extensions-of-clever-a-neural-network-robustness-evaluation-algorithm-1810.08640</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-extensions-of-clever-a-neural-network-robustness-evaluation-algorithm-1810.08640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-extensions-of-clever-a-neural-network-robustness-evaluation-algorithm-1810.08640"/></url>
<url><loc>https://scifaro.com/en/abs/social-influence-as-intrinsic-motivation-for-multi-agent-deep-reinforcement-learning-1810.08647</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/social-influence-as-intrinsic-motivation-for-multi-agent-deep-reinforcement-learning-1810.08647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/social-influence-as-intrinsic-motivation-for-multi-agent-deep-reinforcement-learning-1810.08647"/></url>
<url><loc>https://scifaro.com/en/abs/ockham-s-razor-in-memetic-computing-three-stage-optimal-memetic-exploration-1810.08669</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ockham-s-razor-in-memetic-computing-three-stage-optimal-memetic-exploration-1810.08669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ockham-s-razor-in-memetic-computing-three-stage-optimal-memetic-exploration-1810.08669"/></url>
<url><loc>https://scifaro.com/en/abs/determinantal-thinning-of-point-processes-with-network-learning-applications-1810.08672</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/determinantal-thinning-of-point-processes-with-network-learning-applications-1810.08672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/determinantal-thinning-of-point-processes-with-network-learning-applications-1810.08672"/></url>
<url><loc>https://scifaro.com/en/abs/subset-scanning-over-neural-network-activations-1810.08676</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subset-scanning-over-neural-network-activations-1810.08676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subset-scanning-over-neural-network-activations-1810.08676"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-of-molecules-via-deep-reinforcement-learning-1810.08678</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-of-molecules-via-deep-reinforcement-learning-1810.08678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-of-molecules-via-deep-reinforcement-learning-1810.08678"/></url>
<url><loc>https://scifaro.com/en/abs/sl-2-mf-predicting-synthetic-lethality-in-human-cancers-via-logistic-matrix-factorization-1810.08726</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sl-2-mf-predicting-synthetic-lethality-in-human-cancers-via-logistic-matrix-factorization-1810.08726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sl-2-mf-predicting-synthetic-lethality-in-human-cancers-via-logistic-matrix-factorization-1810.08726"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-the-burden-of-exploration-and-the-unfairness-of-free-riding-1810.08743</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-the-burden-of-exploration-and-the-unfairness-of-free-riding-1810.08743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-the-burden-of-exploration-and-the-unfairness-of-free-riding-1810.08743"/></url>
<url><loc>https://scifaro.com/en/abs/mmlspark-unifying-machine-learning-ecosystems-at-massive-scales-1810.08744</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mmlspark-unifying-machine-learning-ecosystems-at-massive-scales-1810.08744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mmlspark-unifying-machine-learning-ecosystems-at-massive-scales-1810.08744"/></url>
<url><loc>https://scifaro.com/en/abs/renormalized-normalized-maximum-likelihood-and-three-part-code-criteria-for-learning-gaussian-networks-1810.08749</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/renormalized-normalized-maximum-likelihood-and-three-part-code-criteria-for-learning-gaussian-networks-1810.08749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/renormalized-normalized-maximum-likelihood-and-three-part-code-criteria-for-learning-gaussian-networks-1810.08749"/></url>
<url><loc>https://scifaro.com/en/abs/the-frontiers-of-fairness-in-machine-learning-1810.08810</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-frontiers-of-fairness-in-machine-learning-1810.08810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-frontiers-of-fairness-in-machine-learning-1810.08810"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-mst-a-hybrid-active-sampling-strategy-for-pairwise-preference-aggregation-1810.08851</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-mst-a-hybrid-active-sampling-strategy-for-pairwise-preference-aggregation-1810.08851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-mst-a-hybrid-active-sampling-strategy-for-pairwise-preference-aggregation-1810.08851"/></url>
<url><loc>https://scifaro.com/en/abs/a-polynomial-time-mcmc-method-for-sampling-from-continuous-dpps-1810.08867</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-polynomial-time-mcmc-method-for-sampling-from-continuous-dpps-1810.08867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-polynomial-time-mcmc-method-for-sampling-from-continuous-dpps-1810.08867"/></url>
<url><loc>https://scifaro.com/en/abs/sleep-arousal-detection-from-polysomnography-using-the-scattering-transform-and-recurrent-neural-networks-1810.08875</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sleep-arousal-detection-from-polysomnography-using-the-scattering-transform-and-recurrent-neural-networks-1810.08875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sleep-arousal-detection-from-polysomnography-using-the-scattering-transform-and-recurrent-neural-networks-1810.08875"/></url>
<url><loc>https://scifaro.com/en/abs/to-compress-or-not-to-compress-characterizing-deep-learning-model-compression-for-embedded-inference-1810.08899</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-compress-or-not-to-compress-characterizing-deep-learning-model-compression-for-embedded-inference-1810.08899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-compress-or-not-to-compress-characterizing-deep-learning-model-compression-for-embedded-inference-1810.08899"/></url>
<url><loc>https://scifaro.com/en/abs/cnnpred-cnn-based-stock-market-prediction-using-several-data-sources-1810.08923</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cnnpred-cnn-based-stock-market-prediction-using-several-data-sources-1810.08923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cnnpred-cnn-based-stock-market-prediction-using-several-data-sources-1810.08923"/></url>
<url><loc>https://scifaro.com/en/abs/teaching-inverse-reinforcement-learners-via-features-and-demonstrations-1810.08926</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/teaching-inverse-reinforcement-learners-via-features-and-demonstrations-1810.08926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/teaching-inverse-reinforcement-learners-via-features-and-demonstrations-1810.08926"/></url>
<url><loc>https://scifaro.com/en/abs/training-dynamic-exponential-family-models-with-causal-and-lateral-dependencies-for-generalized-neuromorphic-computing-1810.08940</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-dynamic-exponential-family-models-with-causal-and-lateral-dependencies-for-generalized-neuromorphic-computing-1810.08940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-dynamic-exponential-family-models-with-causal-and-lateral-dependencies-for-generalized-neuromorphic-computing-1810.08940"/></url>
<url><loc>https://scifaro.com/en/abs/mechanisms-for-integrated-feature-normalization-and-remaining-useful-life-estimation-using-lstms-applied-to-hard-disks-1810.08985</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mechanisms-for-integrated-feature-normalization-and-remaining-useful-life-estimation-using-lstms-applied-to-hard-disks-1810.08985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mechanisms-for-integrated-feature-normalization-and-remaining-useful-life-estimation-using-lstms-applied-to-hard-disks-1810.08985"/></url>
<url><loc>https://scifaro.com/en/abs/actor-critic-policy-optimization-in-partially-observable-multiagent-environments-1810.09026</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/actor-critic-policy-optimization-in-partially-observable-multiagent-environments-1810.09026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/actor-critic-policy-optimization-in-partially-observable-multiagent-environments-1810.09026"/></url>
<url><loc>https://scifaro.com/en/abs/rlgraph-modular-computation-graphs-for-deep-reinforcement-learning-1810.09028</loc><lastmod>2019-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rlgraph-modular-computation-graphs-for-deep-reinforcement-learning-1810.09028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rlgraph-modular-computation-graphs-for-deep-reinforcement-learning-1810.09028"/></url>
<url><loc>https://scifaro.com/en/abs/patient-subtyping-with-disease-progression-and-irregular-observation-trajectories-1810.09043</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/patient-subtyping-with-disease-progression-and-irregular-observation-trajectories-1810.09043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/patient-subtyping-with-disease-progression-and-irregular-observation-trajectories-1810.09043"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-the-kernel-and-the-range-space-1810.09071</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-the-kernel-and-the-range-space-1810.09071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-the-kernel-and-the-range-space-1810.09071"/></url>
<url><loc>https://scifaro.com/en/abs/sparsemax-and-relaxed-wasserstein-for-topic-sparsity-1810.09079</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsemax-and-relaxed-wasserstein-for-topic-sparsity-1810.09079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsemax-and-relaxed-wasserstein-for-topic-sparsity-1810.09079"/></url>
<url><loc>https://scifaro.com/en/abs/axiomatic-interpretability-for-multiclass-additive-models-1810.09092</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/axiomatic-interpretability-for-multiclass-additive-models-1810.09092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/axiomatic-interpretability-for-multiclass-additive-models-1810.09092"/></url>
<url><loc>https://scifaro.com/en/abs/can-we-gain-more-from-orthogonality-regularizations-in-training-deep-cnns-1810.09102</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-we-gain-more-from-orthogonality-regularizations-in-training-deep-cnns-1810.09102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-we-gain-more-from-orthogonality-regularizations-in-training-deep-cnns-1810.09102"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-actor-critic-a-new-conditional-cross-entropy-method-for-policy-improvement-1810.09103</loc><lastmod>2023-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-actor-critic-a-new-conditional-cross-entropy-method-for-policy-improvement-1810.09103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-actor-critic-a-new-conditional-cross-entropy-method-for-policy-improvement-1810.09103"/></url>
<url><loc>https://scifaro.com/en/abs/norm-range-partition-a-universal-catalyst-for-lsh-based-maximum-inner-product-search-mips-1810.09104</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/norm-range-partition-a-universal-catalyst-for-lsh-based-maximum-inner-product-search-mips-1810.09104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/norm-range-partition-a-universal-catalyst-for-lsh-based-maximum-inner-product-search-mips-1810.09104"/></url>
<url><loc>https://scifaro.com/en/abs/the-bregman-chord-divergence-1810.09113</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-bregman-chord-divergence-1810.09113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-bregman-chord-divergence-1810.09113"/></url>
<url><loc>https://scifaro.com/en/abs/risk-sensitive-reinforcement-learning-via-policy-gradient-search-1810.09126</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-sensitive-reinforcement-learning-via-policy-gradient-search-1810.09126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-sensitive-reinforcement-learning-via-policy-gradient-search-1810.09126"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-baseline-algorithm-for-graph-classification-1810.09155</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-baseline-algorithm-for-graph-classification-1810.09155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-baseline-algorithm-for-graph-classification-1810.09155"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-method-for-censored-demand-prediction-1810.09166</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-method-for-censored-demand-prediction-1810.09166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-method-for-censored-demand-prediction-1810.09166"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-coding-capsule-network-with-k-means-routing-for-text-classification-1810.09177</loc><lastmod>2022-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-coding-capsule-network-with-k-means-routing-for-text-classification-1810.09177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-coding-capsule-network-with-k-means-routing-for-text-classification-1810.09177"/></url>
<url><loc>https://scifaro.com/en/abs/graph-convolutional-reinforcement-learning-1810.09202</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-convolutional-reinforcement-learning-1810.09202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-convolutional-reinforcement-learning-1810.09202"/></url>
<url><loc>https://scifaro.com/en/abs/cost-sensitive-robustness-against-adversarial-examples-1810.09225</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-sensitive-robustness-against-adversarial-examples-1810.09225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-sensitive-robustness-against-adversarial-examples-1810.09225"/></url>
<url><loc>https://scifaro.com/en/abs/a-model-parallel-proximal-stochastic-gradient-algorithm-for-partially-asynchronous-systems-1810.09270</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-model-parallel-proximal-stochastic-gradient-algorithm-for-partially-asynchronous-systems-1810.09270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-model-parallel-proximal-stochastic-gradient-algorithm-for-partially-asynchronous-systems-1810.09270"/></url>
<url><loc>https://scifaro.com/en/abs/from-hard-to-soft-understanding-deep-network-nonlinearities-via-vector-quantization-and-statistical-inference-1810.09274</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-hard-to-soft-understanding-deep-network-nonlinearities-via-vector-quantization-and-statistical-inference-1810.09274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-hard-to-soft-understanding-deep-network-nonlinearities-via-vector-quantization-and-statistical-inference-1810.09274"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-target-propagation-1810.09284</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-target-propagation-1810.09284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-target-propagation-1810.09284"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-online-learning-with-noise-1810.09346</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-online-learning-with-noise-1810.09346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-online-learning-with-noise-1810.09346"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-stability-of-interpretable-models-1810.09352</loc><lastmod>2019-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-stability-of-interpretable-models-1810.09352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-stability-of-interpretable-models-1810.09352"/></url>
<url><loc>https://scifaro.com/en/abs/coupled-longitudinal-and-lateral-control-of-a-vehicle-using-deep-learning-1810.09365</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupled-longitudinal-and-lateral-control-of-a-vehicle-using-deep-learning-1810.09365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupled-longitudinal-and-lateral-control-of-a-vehicle-using-deep-learning-1810.09365"/></url>
<url><loc>https://scifaro.com/en/abs/a-neuro-inspired-architecture-for-unsupervised-continual-learning-based-on-online-clustering-and-hierarchical-predictive-coding-1810.09391</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neuro-inspired-architecture-for-unsupervised-continual-learning-based-on-online-clustering-and-hierarchical-predictive-coding-1810.09391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neuro-inspired-architecture-for-unsupervised-continual-learning-based-on-online-clustering-and-hierarchical-predictive-coding-1810.09391"/></url>
<url><loc>https://scifaro.com/en/abs/event-triggered-natural-hazard-monitoring-with-convolutional-neural-networks-on-the-edge-1810.09409</loc><lastmod>2019-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/event-triggered-natural-hazard-monitoring-with-convolutional-neural-networks-on-the-edge-1810.09409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/event-triggered-natural-hazard-monitoring-with-convolutional-neural-networks-on-the-edge-1810.09409"/></url>
<url><loc>https://scifaro.com/en/abs/optimality-of-the-final-model-found-via-stochastic-gradient-descent-1810.09418</loc><lastmod>2018-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimality-of-the-final-model-found-via-stochastic-gradient-descent-1810.09418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimality-of-the-final-model-found-via-stochastic-gradient-descent-1810.09418"/></url>
<url><loc>https://scifaro.com/en/abs/using-deep-learning-to-extend-the-range-of-air-pollution-monitoring-and-forecasting-1810.09425</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-deep-learning-to-extend-the-range-of-air-pollution-monitoring-and-forecasting-1810.09425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-deep-learning-to-extend-the-range-of-air-pollution-monitoring-and-forecasting-1810.09425"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-train-your-maml-1810.09502</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-train-your-maml-1810.09502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-train-your-maml-1810.09502"/></url>
<url><loc>https://scifaro.com/en/abs/pyro-deep-universal-probabilistic-programming-1810.09538</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pyro-deep-universal-probabilistic-programming-1810.09538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pyro-deep-universal-probabilistic-programming-1810.09538"/></url>
<url><loc>https://scifaro.com/en/abs/introducing-curvature-to-the-label-space-1810.09549</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introducing-curvature-to-the-label-space-1810.09549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introducing-curvature-to-the-label-space-1810.09549"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-bandit-algorithm-for-realtime-multivariate-optimization-1810.09558</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-bandit-algorithm-for-realtime-multivariate-optimization-1810.09558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-bandit-algorithm-for-realtime-multivariate-optimization-1810.09558"/></url>
<url><loc>https://scifaro.com/en/abs/learning-probabilistic-trajectory-models-of-aircraft-in-terminal-airspace-from-position-data-1810.09568</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-probabilistic-trajectory-models-of-aircraft-in-terminal-airspace-from-position-data-1810.09568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-probabilistic-trajectory-models-of-aircraft-in-terminal-airspace-from-position-data-1810.09568"/></url>
<url><loc>https://scifaro.com/en/abs/perturbation-bounds-for-procrustes-classical-scaling-and-trilateration-with-applications-to-manifold-learning-1810.09569</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perturbation-bounds-for-procrustes-classical-scaling-and-trilateration-with-applications-to-manifold-learning-1810.09569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perturbation-bounds-for-procrustes-classical-scaling-and-trilateration-with-applications-to-manifold-learning-1810.09569"/></url>
<url><loc>https://scifaro.com/en/abs/applying-deep-learning-to-airbnb-search-1810.09591</loc><lastmod>2020-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-deep-learning-to-airbnb-search-1810.09591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-deep-learning-to-airbnb-search-1810.09591"/></url>
<url><loc>https://scifaro.com/en/abs/mime-multilevel-medical-embedding-of-electronic-health-records-for-predictive-healthcare-1810.09593</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mime-multilevel-medical-embedding-of-electronic-health-records-for-predictive-healthcare-1810.09593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mime-multilevel-medical-embedding-of-electronic-health-records-for-predictive-healthcare-1810.09593"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-dnns-with-improved-adversarial-robustness-1810.09619</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-dnns-with-improved-adversarial-robustness-1810.09619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-dnns-with-improved-adversarial-robustness-1810.09619"/></url>
<url><loc>https://scifaro.com/en/abs/one-bit-matters-understanding-adversarial-examples-as-the-abuse-of-redundancy-1810.09650</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-bit-matters-understanding-adversarial-examples-as-the-abuse-of-redundancy-1810.09650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-bit-matters-understanding-adversarial-examples-as-the-abuse-of-redundancy-1810.09650"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-approaches-for-reinforcement-learning-in-parameterized-action-space-1810.09656</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-approaches-for-reinforcement-learning-in-parameterized-action-space-1810.09656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-approaches-for-reinforcement-learning-in-parameterized-action-space-1810.09656"/></url>
<url><loc>https://scifaro.com/en/abs/a-jamming-transition-from-under-to-over-parametrization-affects-loss-landscape-and-generalization-1810.09665</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-jamming-transition-from-under-to-over-parametrization-affects-loss-landscape-and-generalization-1810.09665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-jamming-transition-from-under-to-over-parametrization-affects-loss-landscape-and-generalization-1810.09665"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-feedback-graphs-and-switching-costs-1810.09666</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-feedback-graphs-and-switching-costs-1810.09666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-feedback-graphs-and-switching-costs-1810.09666"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-features-extraction-for-binary-similarity-using-graph-embedding-neural-networks-1810.09683</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-features-extraction-for-binary-similarity-using-graph-embedding-neural-networks-1810.09683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-features-extraction-for-binary-similarity-using-graph-embedding-neural-networks-1810.09683"/></url>
<url><loc>https://scifaro.com/en/abs/ain-t-nobody-got-time-for-coding-structure-aware-program-synthesis-from-natural-language-1810.09717</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ain-t-nobody-got-time-for-coding-structure-aware-program-synthesis-from-natural-language-1810.09717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ain-t-nobody-got-time-for-coding-structure-aware-program-synthesis-from-natural-language-1810.09717"/></url>
<url><loc>https://scifaro.com/en/abs/ocapis-r-package-for-ordinal-classification-and-preprocessing-in-scala-1810.09733</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ocapis-r-package-for-ordinal-classification-and-preprocessing-in-scala-1810.09733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ocapis-r-package-for-ordinal-classification-and-preprocessing-in-scala-1810.09733"/></url>
<url><loc>https://scifaro.com/en/abs/on-pac-bayesian-bounds-for-random-forests-1810.09746</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-pac-bayesian-bounds-for-random-forests-1810.09746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-pac-bayesian-bounds-for-random-forests-1810.09746"/></url>
<url><loc>https://scifaro.com/en/abs/dcsvm-fast-multi-class-classification-using-support-vector-machines-1810.09828</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dcsvm-fast-multi-class-classification-using-support-vector-machines-1810.09828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dcsvm-fast-multi-class-classification-using-support-vector-machines-1810.09828"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-network-inference-with-reduced-word-length-1810.09854</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-inference-with-reduced-word-length-1810.09854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-inference-with-reduced-word-length-1810.09854"/></url>
<url><loc>https://scifaro.com/en/abs/feasibility-of-supervised-machine-learning-for-cloud-security-1810.09878</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feasibility-of-supervised-machine-learning-for-cloud-security-1810.09878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feasibility-of-supervised-machine-learning-for-cloud-security-1810.09878"/></url>
<url><loc>https://scifaro.com/en/abs/preprocessor-selection-for-machine-learning-pipelines-1810.09942</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preprocessor-selection-for-machine-learning-pipelines-1810.09942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preprocessor-selection-for-machine-learning-pipelines-1810.09942"/></url>
<url><loc>https://scifaro.com/en/abs/data-models-for-service-failure-prediction-in-supply-chain-networks-1810.09944</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-models-for-service-failure-prediction-in-supply-chain-networks-1810.09944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-models-for-service-failure-prediction-in-supply-chain-networks-1810.09944"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-neuroimaging-data-through-recurrent-deep-learning-models-1810.09945</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-neuroimaging-data-through-recurrent-deep-learning-models-1810.09945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-neuroimaging-data-through-recurrent-deep-learning-models-1810.09945"/></url>
<url><loc>https://scifaro.com/en/abs/using-deep-learning-for-price-prediction-by-exploiting-stationary-limit-order-book-features-1810.09965</loc><lastmod>2018-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-deep-learning-for-price-prediction-by-exploiting-stationary-limit-order-book-features-1810.09965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-deep-learning-for-price-prediction-by-exploiting-stationary-limit-order-book-features-1810.09965"/></url>
<url><loc>https://scifaro.com/en/abs/reconciling-lambda-returns-with-experience-replay-1810.09967</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconciling-lambda-returns-with-experience-replay-1810.09967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconciling-lambda-returns-with-experience-replay-1810.09967"/></url>
<url><loc>https://scifaro.com/en/abs/learning-first-to-spike-policies-for-neuromorphic-control-using-policy-gradients-1810.09977</loc><lastmod>2020-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-first-to-spike-policies-for-neuromorphic-control-using-policy-gradients-1810.09977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-first-to-spike-policies-for-neuromorphic-control-using-policy-gradients-1810.09977"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-substitute-training-a-gray-box-approach-to-craft-adversarial-examples-against-gradient-obfuscation-defenses-1810.10031</loc><lastmod>2018-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-substitute-training-a-gray-box-approach-to-craft-adversarial-examples-against-gradient-obfuscation-defenses-1810.10031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-substitute-training-a-gray-box-approach-to-craft-adversarial-examples-against-gradient-obfuscation-defenses-1810.10031"/></url>
<url><loc>https://scifaro.com/en/abs/negative-results-for-approximation-using-single-layer-and-multilayer-feedforward-neural-networks-1810.10032</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/negative-results-for-approximation-using-single-layer-and-multilayer-feedforward-neural-networks-1810.10032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/negative-results-for-approximation-using-single-layer-and-multilayer-feedforward-neural-networks-1810.10032"/></url>
<url><loc>https://scifaro.com/en/abs/graph-laplacian-mixture-model-1810.10053</loc><lastmod>2020-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-laplacian-mixture-model-1810.10053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-laplacian-mixture-model-1810.10053"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-approach-to-adult-census-income-level-prediction-1810.10076</loc><lastmod>2018-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-approach-to-adult-census-income-level-prediction-1810.10076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-approach-to-adult-census-income-level-prediction-1810.10076"/></url>
<url><loc>https://scifaro.com/en/abs/autowarp-learning-a-warping-distance-from-unlabeled-time-series-using-sequence-autoencoders-1810.10107</loc><lastmod>2018-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autowarp-learning-a-warping-distance-from-unlabeled-time-series-using-sequence-autoencoders-1810.10107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autowarp-learning-a-warping-distance-from-unlabeled-time-series-using-sequence-autoencoders-1810.10107"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-black-box-predictions-using-fisher-kernels-1810.10118</loc><lastmod>2018-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-black-box-predictions-using-fisher-kernels-1810.10118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-black-box-predictions-using-fisher-kernels-1810.10118"/></url>
<url><loc>https://scifaro.com/en/abs/poppy-a-point-process-toolbox-based-on-pytorch-1810.10122</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poppy-a-point-process-toolbox-based-on-pytorch-1810.10122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poppy-a-point-process-toolbox-based-on-pytorch-1810.10122"/></url>
<url><loc>https://scifaro.com/en/abs/area-attention-1810.10126</loc><lastmod>2020-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/area-attention-1810.10126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/area-attention-1810.10126"/></url>
<url><loc>https://scifaro.com/en/abs/smoothed-online-optimization-for-regression-and-control-1810.10132</loc><lastmod>2019-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothed-online-optimization-for-regression-and-control-1810.10132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothed-online-optimization-for-regression-and-control-1810.10132"/></url>
<url><loc>https://scifaro.com/en/abs/fewrel-a-large-scale-supervised-few-shot-relation-classification-dataset-with-state-of-the-art-evaluation-1810.10147</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fewrel-a-large-scale-supervised-few-shot-relation-classification-dataset-with-state-of-the-art-evaluation-1810.10147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fewrel-a-large-scale-supervised-few-shot-relation-classification-dataset-with-state-of-the-art-evaluation-1810.10147"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-gradient-boosting-machine-1810.10158</loc><lastmod>2020-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-gradient-boosting-machine-1810.10158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-gradient-boosting-machine-1810.10158"/></url>
<url><loc>https://scifaro.com/en/abs/multistep-speed-prediction-on-traffic-networks-a-graph-convolutional-sequence-to-sequence-learning-approach-with-attention-mechanism-1810.10237</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multistep-speed-prediction-on-traffic-networks-a-graph-convolutional-sequence-to-sequence-learning-approach-with-attention-mechanism-1810.10237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multistep-speed-prediction-on-traffic-networks-a-graph-convolutional-sequence-to-sequence-learning-approach-with-attention-mechanism-1810.10237"/></url>
<url><loc>https://scifaro.com/en/abs/active-ranking-with-subset-wise-preferences-1810.10321</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-ranking-with-subset-wise-preferences-1810.10321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-ranking-with-subset-wise-preferences-1810.10321"/></url>
<url><loc>https://scifaro.com/en/abs/label-propagation-for-learning-with-label-proportions-1810.10328</loc><lastmod>2018-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-propagation-for-learning-with-label-proportions-1810.10328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-propagation-for-learning-with-label-proportions-1810.10328"/></url>
<url><loc>https://scifaro.com/en/abs/g-smote-a-gmm-based-synthetic-minority-oversampling-technique-for-imbalanced-learning-1810.10363</loc><lastmod>2018-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/g-smote-a-gmm-based-synthetic-minority-oversampling-technique-for-imbalanced-learning-1810.10363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/g-smote-a-gmm-based-synthetic-minority-oversampling-technique-for-imbalanced-learning-1810.10363"/></url>
<url><loc>https://scifaro.com/en/abs/the-faults-in-our-pi-stars-security-issues-and-open-challenges-in-deep-reinforcement-learning-1810.10369</loc><lastmod>2018-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-faults-in-our-pi-stars-security-issues-and-open-challenges-in-deep-reinforcement-learning-1810.10369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-faults-in-our-pi-stars-security-issues-and-open-challenges-in-deep-reinforcement-learning-1810.10369"/></url>
<url><loc>https://scifaro.com/en/abs/why-every-gbdt-speed-benchmark-is-wrong-1810.10380</loc><lastmod>2018-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-every-gbdt-speed-benchmark-is-wrong-1810.10380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-every-gbdt-speed-benchmark-is-wrong-1810.10380"/></url>
<url><loc>https://scifaro.com/en/abs/learning-negotiating-behavior-between-cars-in-intersections-using-deep-q-learning-1810.10469</loc><lastmod>2018-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-negotiating-behavior-between-cars-in-intersections-using-deep-q-learning-1810.10469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-negotiating-behavior-between-cars-in-intersections-using-deep-q-learning-1810.10469"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-individualized-disease-trajectories-using-interpretable-deep-learning-1810.10489</loc><lastmod>2018-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-individualized-disease-trajectories-using-interpretable-deep-learning-1810.10489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-individualized-disease-trajectories-using-interpretable-deep-learning-1810.10489"/></url>
<url><loc>https://scifaro.com/en/abs/a-mathematical-theory-of-semantic-development-in-deep-neural-networks-1810.10531</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mathematical-theory-of-semantic-development-in-deep-neural-networks-1810.10531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mathematical-theory-of-semantic-development-in-deep-neural-networks-1810.10531"/></url>
<url><loc>https://scifaro.com/en/abs/segmentation-analysis-in-human-centric-cyber-physical-systems-using-graphical-lasso-1810.10533</loc><lastmod>2019-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/segmentation-analysis-in-human-centric-cyber-physical-systems-using-graphical-lasso-1810.10533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/segmentation-analysis-in-human-centric-cyber-physical-systems-using-graphical-lasso-1810.10533"/></url>
<url><loc>https://scifaro.com/en/abs/meta-modeling-game-for-deriving-theoretical-consistent-micro-structural-based-traction-separation-laws-via-deep-reinforcement-learning-1810.10535</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-modeling-game-for-deriving-theoretical-consistent-micro-structural-based-traction-separation-laws-via-deep-reinforcement-learning-1810.10535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-modeling-game-for-deriving-theoretical-consistent-micro-structural-based-traction-separation-laws-via-deep-reinforcement-learning-1810.10535"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-reinforcement-learning-for-video-games-1810.10593</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-for-video-games-1810.10593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-for-video-games-1810.10593"/></url>
<url><loc>https://scifaro.com/en/abs/continual-classification-learning-using-generative-models-1810.10612</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-classification-learning-using-generative-models-1810.10612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-classification-learning-using-generative-models-1810.10612"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-graph-neural-networks-1810.10627</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-graph-neural-networks-1810.10627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-graph-neural-networks-1810.10627"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-route-efficiently-with-end-to-end-feedback-the-value-of-networked-structure-1810.10637</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-route-efficiently-with-end-to-end-feedback-the-value-of-networked-structure-1810.10637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-route-efficiently-with-end-to-end-feedback-the-value-of-networked-structure-1810.10637"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-optimization-with-graph-convolutional-networks-and-guided-tree-search-1810.10659</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-optimization-with-graph-convolutional-networks-and-guided-tree-search-1810.10659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-optimization-with-graph-convolutional-networks-and-guided-tree-search-1810.10659"/></url>
<url><loc>https://scifaro.com/en/abs/automated-process-incorporating-machine-learning-segmentation-and-correlation-of-oral-diseases-with-systemic-health-1810.10664</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-process-incorporating-machine-learning-segmentation-and-correlation-of-oral-diseases-with-systemic-health-1810.10664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-process-incorporating-machine-learning-segmentation-and-correlation-of-oral-diseases-with-systemic-health-1810.10664"/></url>
<url><loc>https://scifaro.com/en/abs/truncated-back-propagation-for-bilevel-optimization-1810.10667</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truncated-back-propagation-for-bilevel-optimization-1810.10667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truncated-back-propagation-for-bilevel-optimization-1810.10667"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-embedding-norm-looking-deep-into-the-spectrum-of-the-graph-laplacian-1810.10695</loc><lastmod>2019-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-embedding-norm-looking-deep-into-the-spectrum-of-the-graph-laplacian-1810.10695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-embedding-norm-looking-deep-into-the-spectrum-of-the-graph-laplacian-1810.10695"/></url>
<url><loc>https://scifaro.com/en/abs/subgradient-descent-learns-orthogonal-dictionaries-1810.10702</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subgradient-descent-learns-orthogonal-dictionaries-1810.10702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subgradient-descent-learns-orthogonal-dictionaries-1810.10702"/></url>
<url><loc>https://scifaro.com/en/abs/k-for-the-price-of-1-parameter-efficient-multi-task-and-transfer-learning-1810.10703</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-for-the-price-of-1-parameter-efficient-multi-task-and-transfer-learning-1810.10703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-for-the-price-of-1-parameter-efficient-multi-task-and-transfer-learning-1810.10703"/></url>
<url><loc>https://scifaro.com/en/abs/law-and-adversarial-machine-learning-1810.10731</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/law-and-adversarial-machine-learning-1810.10731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/law-and-adversarial-machine-learning-1810.10731"/></url>
<url><loc>https://scifaro.com/en/abs/attack-graph-convolutional-networks-by-adding-fake-nodes-1810.10751</loc><lastmod>2020-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attack-graph-convolutional-networks-by-adding-fake-nodes-1810.10751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attack-graph-convolutional-networks-by-adding-fake-nodes-1810.10751"/></url>
<url><loc>https://scifaro.com/en/abs/geometry-and-clustering-with-metrics-derived-from-separable-bregman-divergences-1810.10770</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometry-and-clustering-with-metrics-derived-from-separable-bregman-divergences-1810.10770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometry-and-clustering-with-metrics-derived-from-separable-bregman-divergences-1810.10770"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-of-restricted-boltzmann-machines-using-covariance-estimates-1810.10777</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-of-restricted-boltzmann-machines-using-covariance-estimates-1810.10777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-of-restricted-boltzmann-machines-using-covariance-estimates-1810.10777"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-online-learning-in-dynamic-environments-1810.10815</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-online-learning-in-dynamic-environments-1810.10815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-online-learning-in-dynamic-environments-1810.10815"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-set-matching-for-graph-similarity-1810.10866</loc><lastmod>2018-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-set-matching-for-graph-similarity-1810.10866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-set-matching-for-graph-similarity-1810.10866"/></url>
<url><loc>https://scifaro.com/en/abs/almost-optimal-algorithms-for-linear-stochastic-bandits-with-heavy-tailed-payoffs-1810.10895</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/almost-optimal-algorithms-for-linear-stochastic-bandits-with-heavy-tailed-payoffs-1810.10895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/almost-optimal-algorithms-for-linear-stochastic-bandits-with-heavy-tailed-payoffs-1810.10895"/></url>
<url><loc>https://scifaro.com/en/abs/har-net-fusing-deep-representation-and-hand-crafted-features-for-human-activity-recognition-1810.10929</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/har-net-fusing-deep-representation-and-hand-crafted-features-for-human-activity-recognition-1810.10929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/har-net-fusing-deep-representation-and-hand-crafted-features-for-human-activity-recognition-1810.10929"/></url>
<url><loc>https://scifaro.com/en/abs/evading-classifiers-in-discrete-domains-with-provable-optimality-guarantees-1810.10939</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evading-classifiers-in-discrete-domains-with-provable-optimality-guarantees-1810.10939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evading-classifiers-in-discrete-domains-with-provable-optimality-guarantees-1810.10939"/></url>
<url><loc>https://scifaro.com/en/abs/training-generative-adversarial-networks-via-turing-test-1810.10948</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-generative-adversarial-networks-via-turing-test-1810.10948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-generative-adversarial-networks-via-turing-test-1810.10948"/></url>
<url><loc>https://scifaro.com/en/abs/differential-variable-speed-limits-control-for-freeway-recurrent-bottlenecks-via-deep-reinforcement-learning-1810.10952</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-variable-speed-limits-control-for-freeway-recurrent-bottlenecks-via-deep-reinforcement-learning-1810.10952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-variable-speed-limits-control-for-freeway-recurrent-bottlenecks-via-deep-reinforcement-learning-1810.10952"/></url>
<url><loc>https://scifaro.com/en/abs/a-preliminary-study-on-hyperparameter-configuration-for-human-activity-recognition-1810.10956</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-preliminary-study-on-hyperparameter-configuration-for-human-activity-recognition-1810.10956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-preliminary-study-on-hyperparameter-configuration-for-human-activity-recognition-1810.10956"/></url>
<url><loc>https://scifaro.com/en/abs/batch-normalization-sampling-1810.10962</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-normalization-sampling-1810.10962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-normalization-sampling-1810.10962"/></url>
<url><loc>https://scifaro.com/en/abs/reversible-recurrent-neural-networks-1810.10999</loc><lastmod>2018-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reversible-recurrent-neural-networks-1810.10999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reversible-recurrent-neural-networks-1810.10999"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-hierarchical-imitation-learning-of-compound-visuomotor-tasks-1810.11043</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-hierarchical-imitation-learning-of-compound-visuomotor-tasks-1810.11043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-hierarchical-imitation-learning-of-compound-visuomotor-tasks-1810.11043"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-convergence-of-gradients-for-non-convex-learning-and-optimization-1810.11059</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-convergence-of-gradients-for-non-convex-learning-and-optimization-1810.11059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-convergence-of-gradients-for-non-convex-learning-and-optimization-1810.11059"/></url>
<url><loc>https://scifaro.com/en/abs/automating-generation-of-low-precision-deep-learning-operators-1810.11066</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automating-generation-of-low-precision-deep-learning-operators-1810.11066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automating-generation-of-low-precision-deep-learning-operators-1810.11066"/></url>
<url><loc>https://scifaro.com/en/abs/relf-robust-regression-extended-with-ensemble-loss-function-1810.11071</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relf-robust-regression-extended-with-ensemble-loss-function-1810.11071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relf-robust-regression-extended-with-ensemble-loss-function-1810.11071"/></url>
<url><loc>https://scifaro.com/en/abs/size-noise-tradeoffs-in-generative-networks-1810.11158</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/size-noise-tradeoffs-in-generative-networks-1810.11158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/size-noise-tradeoffs-in-generative-networks-1810.11158"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-of-neighbor-representations-for-boundary-trees-and-forests-1810.11165</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-of-neighbor-representations-for-boundary-trees-and-forests-1810.11165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-of-neighbor-representations-for-boundary-trees-and-forests-1810.11165"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-relational-transition-models-1810.11177</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-relational-transition-models-1810.11177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-relational-transition-models-1810.11177"/></url>
<url><loc>https://scifaro.com/en/abs/tarmac-targeted-multi-agent-communication-1810.11187</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tarmac-targeted-multi-agent-communication-1810.11187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tarmac-targeted-multi-agent-communication-1810.11187"/></url>
<url><loc>https://scifaro.com/en/abs/lossless-and-lossy-compression-of-random-forests-1810.11197</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lossless-and-lossy-compression-of-random-forests-1810.11197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lossless-and-lossy-compression-of-random-forests-1810.11197"/></url>
<url><loc>https://scifaro.com/en/abs/crystalgan-learning-to-discover-crystallographic-structures-with-generative-adversarial-networks-1810.11203</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crystalgan-learning-to-discover-crystallographic-structures-with-generative-adversarial-networks-1810.11203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crystalgan-learning-to-discover-crystallographic-structures-with-generative-adversarial-networks-1810.11203"/></url>
<url><loc>https://scifaro.com/en/abs/from-the-em-algorithm-to-the-cm-em-algorithm-for-global-convergence-of-mixture-models-1810.11227</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-the-em-algorithm-to-the-cm-em-algorithm-for-global-convergence-of-mixture-models-1810.11227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-the-em-algorithm-to-the-cm-em-algorithm-for-global-convergence-of-mixture-models-1810.11227"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-context-aware-learning-system-for-iot-applications-1810.11295</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-context-aware-learning-system-for-iot-applications-1810.11295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-context-aware-learning-system-for-iot-applications-1810.11295"/></url>
<url><loc>https://scifaro.com/en/abs/superensemble-classifier-for-improving-predictions-in-imbalanced-datasets-1810.11317</loc><lastmod>2022-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/superensemble-classifier-for-improving-predictions-in-imbalanced-datasets-1810.11317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/superensemble-classifier-for-improving-predictions-in-imbalanced-datasets-1810.11317"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-multilayer-perceptron-and-multiple-regression-models-for-predicting-energy-use-in-the-balkans-1810.11333</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-multilayer-perceptron-and-multiple-regression-models-for-predicting-energy-use-in-the-balkans-1810.11333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-multilayer-perceptron-and-multiple-regression-models-for-predicting-energy-use-in-the-balkans-1810.11333"/></url>
<url><loc>https://scifaro.com/en/abs/benefits-of-over-parameterization-with-em-1810.11344</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benefits-of-over-parameterization-with-em-1810.11344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benefits-of-over-parameterization-with-em-1810.11344"/></url>
<url><loc>https://scifaro.com/en/abs/catboost-gradient-boosting-with-categorical-features-support-1810.11363</loc><lastmod>2018-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/catboost-gradient-boosting-with-categorical-features-support-1810.11363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/catboost-gradient-boosting-with-categorical-features-support-1810.11363"/></url>
<url><loc>https://scifaro.com/en/abs/some-requests-for-machine-learning-research-from-the-east-african-tech-scene-1810.11383</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-requests-for-machine-learning-research-from-the-east-african-tech-scene-1810.11383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-requests-for-machine-learning-research-from-the-east-african-tech-scene-1810.11383"/></url>
<url><loc>https://scifaro.com/en/abs/deep-intrinsically-motivated-continuous-actor-critic-for-efficient-robotic-visuomotor-skill-learning-1810.11388</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-intrinsically-motivated-continuous-actor-critic-for-efficient-robotic-visuomotor-skill-learning-1810.11388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-intrinsically-motivated-continuous-actor-critic-for-efficient-robotic-visuomotor-skill-learning-1810.11388"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-unbalanced-optimal-transport-using-generative-adversarial-networks-1810.11447</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-unbalanced-optimal-transport-using-generative-adversarial-networks-1810.11447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-unbalanced-optimal-transport-using-generative-adversarial-networks-1810.11447"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-evaluation-of-contextual-policy-search-with-a-comparison-based-surrogate-model-and-active-covariance-matrix-adaptation-1810.11491</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-evaluation-of-contextual-policy-search-with-a-comparison-based-surrogate-model-and-active-covariance-matrix-adaptation-1810.11491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-evaluation-of-contextual-policy-search-with-a-comparison-based-surrogate-model-and-active-covariance-matrix-adaptation-1810.11491"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-distributed-hessian-free-algorithm-for-large-scale-empirical-risk-minimization-via-accumulating-sample-strategy-1810.11507</loc><lastmod>2020-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-distributed-hessian-free-algorithm-for-large-scale-empirical-risk-minimization-via-accumulating-sample-strategy-1810.11507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-distributed-hessian-free-algorithm-for-large-scale-empirical-risk-minimization-via-accumulating-sample-strategy-1810.11507"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-interpreting-multi-multi-instance-learning-networks-1810.11514</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-interpreting-multi-multi-instance-learning-networks-1810.11514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-interpreting-multi-multi-instance-learning-networks-1810.11514"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-differentiation-in-ml-where-we-are-and-where-we-should-be-going-1810.11530</loc><lastmod>2019-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-differentiation-in-ml-where-we-are-and-where-we-should-be-going-1810.11530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-differentiation-in-ml-where-we-are-and-where-we-should-be-going-1810.11530"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-graphics-program-generation-using-attention-based-hierarchical-decoder-1810.11536</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-graphics-program-generation-using-attention-based-hierarchical-decoder-1810.11536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-graphics-program-generation-using-attention-based-hierarchical-decoder-1810.11536"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-learning-guarantees-for-convex-but-inconsistent-surrogates-1810.11544</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-learning-guarantees-for-convex-but-inconsistent-surrogates-1810.11544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-learning-guarantees-for-convex-but-inconsistent-surrogates-1810.11544"/></url>
<url><loc>https://scifaro.com/en/abs/mobile-sensor-data-anonymization-1810.11546</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mobile-sensor-data-anonymization-1810.11546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mobile-sensor-data-anonymization-1810.11546"/></url>
<url><loc>https://scifaro.com/en/abs/mca-based-rule-mining-enables-interpretable-inference-in-clinical-psychiatry-1810.11558</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mca-based-rule-mining-enables-interpretable-inference-in-clinical-psychiatry-1810.11558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mca-based-rule-mining-enables-interpretable-inference-in-clinical-psychiatry-1810.11558"/></url>
<url><loc>https://scifaro.com/en/abs/monitoring-the-shape-of-weather-soundscapes-and-dynamical-systems-a-new-statistic-for-dimension-driven-data-analysis-on-large-data-sets-1810.11562</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monitoring-the-shape-of-weather-soundscapes-and-dynamical-systems-a-new-statistic-for-dimension-driven-data-analysis-on-large-data-sets-1810.11562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monitoring-the-shape-of-weather-soundscapes-and-dynamical-systems-a-new-statistic-for-dimension-driven-data-analysis-on-large-data-sets-1810.11562"/></url>
<url><loc>https://scifaro.com/en/abs/attacks-meet-interpretability-attribute-steered-detection-of-adversarial-samples-1810.11580</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attacks-meet-interpretability-attribute-steered-detection-of-adversarial-samples-1810.11580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attacks-meet-interpretability-attribute-steered-detection-of-adversarial-samples-1810.11580"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-free-learning-based-on-the-kernel-and-the-range-space-1810.11581</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-free-learning-based-on-the-kernel-and-the-range-space-1810.11581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-free-learning-based-on-the-kernel-and-the-range-space-1810.11581"/></url>
<url><loc>https://scifaro.com/en/abs/learning-abstract-options-1810.11583</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-abstract-options-1810.11583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-abstract-options-1810.11583"/></url>
<url><loc>https://scifaro.com/en/abs/attended-temperature-scaling-a-practical-approach-for-calibrating-deep-neural-networks-1810.11586</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attended-temperature-scaling-a-practical-approach-for-calibrating-deep-neural-networks-1810.11586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attended-temperature-scaling-a-practical-approach-for-calibrating-deep-neural-networks-1810.11586"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-gan-to-counter-forgetting-1810.11598</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-gan-to-counter-forgetting-1810.11598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-gan-to-counter-forgetting-1810.11598"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-clustering-based-on-the-characterisation-of-segment-typologies-1810.11624</loc><lastmod>2026-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-clustering-based-on-the-characterisation-of-segment-typologies-1810.11624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-clustering-based-on-the-characterisation-of-segment-typologies-1810.11624"/></url>
<url><loc>https://scifaro.com/en/abs/fabrik-an-online-collaborative-neural-network-editor-1810.11649</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fabrik-an-online-collaborative-neural-network-editor-1810.11649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fabrik-an-online-collaborative-neural-network-editor-1810.11649"/></url>
<url><loc>https://scifaro.com/en/abs/a-no-regret-generalization-of-hierarchical-softmax-to-extreme-multi-label-classification-1810.11671</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-no-regret-generalization-of-hierarchical-softmax-to-extreme-multi-label-classification-1810.11671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-no-regret-generalization-of-hierarchical-softmax-to-extreme-multi-label-classification-1810.11671"/></url>
<url><loc>https://scifaro.com/en/abs/uncertain-trees-dealing-with-uncertain-inputs-in-regression-trees-1810.11698</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertain-trees-dealing-with-uncertain-inputs-in-regression-trees-1810.11698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertain-trees-dealing-with-uncertain-inputs-in-regression-trees-1810.11698"/></url>
<url><loc>https://scifaro.com/en/abs/low-shot-learning-via-covariance-preserving-adversarial-augmentation-networks-1810.11730</loc><lastmod>2018-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-shot-learning-via-covariance-preserving-adversarial-augmentation-networks-1810.11730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-shot-learning-via-covariance-preserving-adversarial-augmentation-networks-1810.11730"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-prior-variational-autoencoders-1810.11738</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-prior-variational-autoencoders-1810.11738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-prior-variational-autoencoders-1810.11738"/></url>
<url><loc>https://scifaro.com/en/abs/a-convex-duality-framework-for-gans-1810.11740</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convex-duality-framework-for-gans-1810.11740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convex-duality-framework-for-gans-1810.11740"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-learning-representations-to-what-extent-do-different-neural-networks-learn-the-same-representation-1810.11750</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-learning-representations-to-what-extent-do-different-neural-networks-learn-the-same-representation-1810.11750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-learning-representations-to-what-extent-do-different-neural-networks-learn-the-same-representation-1810.11750"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-markov-chains-1810.11754</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-markov-chains-1810.11754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-markov-chains-1810.11754"/></url>
<url><loc>https://scifaro.com/en/abs/watch-the-unobserved-a-simple-approach-to-parallelizing-monte-carlo-tree-search-1810.11755</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/watch-the-unobserved-a-simple-approach-to-parallelizing-monte-carlo-tree-search-1810.11755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/watch-the-unobserved-a-simple-approach-to-parallelizing-monte-carlo-tree-search-1810.11755"/></url>
<url><loc>https://scifaro.com/en/abs/distributive-dynamic-spectrum-access-through-deep-reinforcement-learning-a-reservoir-computing-based-approach-1810.11758</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributive-dynamic-spectrum-access-through-deep-reinforcement-learning-a-reservoir-computing-based-approach-1810.11758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributive-dynamic-spectrum-access-through-deep-reinforcement-learning-a-reservoir-computing-based-approach-1810.11758"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-in-network-centrality-measures-tutorial-and-outlook-1810.11760</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-in-network-centrality-measures-tutorial-and-outlook-1810.11760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-in-network-centrality-measures-tutorial-and-outlook-1810.11760"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-neural-networks-via-sensitivity-driven-regularization-1810.11764</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-neural-networks-via-sensitivity-driven-regularization-1810.11764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-neural-networks-via-sensitivity-driven-regularization-1810.11764"/></url>
<url><loc>https://scifaro.com/en/abs/a-hitchhiker-s-guide-on-distributed-training-of-deep-neural-networks-1810.11787</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hitchhiker-s-guide-on-distributed-training-of-deep-neural-networks-1810.11787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hitchhiker-s-guide-on-distributed-training-of-deep-neural-networks-1810.11787"/></url>
<url><loc>https://scifaro.com/en/abs/robust-audio-adversarial-example-for-a-physical-attack-1810.11793</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-audio-adversarial-example-for-a-physical-attack-1810.11793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-audio-adversarial-example-for-a-physical-attack-1810.11793"/></url>
<url><loc>https://scifaro.com/en/abs/on-preserving-non-discrimination-when-combining-expert-advice-1810.11829</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-preserving-non-discrimination-when-combining-expert-advice-1810.11829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-preserving-non-discrimination-when-combining-expert-advice-1810.11829"/></url>
<url><loc>https://scifaro.com/en/abs/maxhedge-maximising-a-maximum-online-1810.11843</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maxhedge-maximising-a-maximum-online-1810.11843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maxhedge-maximising-a-maximum-online-1810.11843"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-k-out-of-top-rho-fraction-of-arms-in-stochastic-bandits-1810.11857</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-k-out-of-top-rho-fraction-of-arms-in-stochastic-bandits-1810.11857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-k-out-of-top-rho-fraction-of-arms-in-stochastic-bandits-1810.11857"/></url>
<url><loc>https://scifaro.com/en/abs/experimental-design-for-cost-aware-learning-of-causal-graphs-1810.11867</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/experimental-design-for-cost-aware-learning-of-causal-graphs-1810.11867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/experimental-design-for-cost-aware-learning-of-causal-graphs-1810.11867"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-bad-training-data-via-iterative-trimmed-loss-minimization-1810.11874</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-bad-training-data-via-iterative-trimmed-loss-minimization-1810.11874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-bad-training-data-via-iterative-trimmed-loss-minimization-1810.11874"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-efficient-and-scalable-graph-embedding-1810.11899</loc><lastmod>2020-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-efficient-and-scalable-graph-embedding-1810.11899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-efficient-and-scalable-graph-embedding-1810.11899"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-logistic-regression-learns-all-discrete-pairwise-graphical-models-1810.11905</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-logistic-regression-learns-all-discrete-pairwise-graphical-models-1810.11905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-logistic-regression-learns-all-discrete-pairwise-graphical-models-1810.11905"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-translation-with-mmd-networks-1810.11906</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-translation-with-mmd-networks-1810.11906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-translation-with-mmd-networks-1810.11906"/></url>
<url><loc>https://scifaro.com/en/abs/mean-field-theory-of-graph-neural-networks-in-graph-partitioning-1810.11908</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-field-theory-of-graph-neural-networks-in-graph-partitioning-1810.11908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-field-theory-of-graph-neural-networks-in-graph-partitioning-1810.11908"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-learn-without-forgetting-by-maximizing-transfer-and-minimizing-interference-1810.11910</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-learn-without-forgetting-by-maximizing-transfer-and-minimizing-interference-1810.11910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-learn-without-forgetting-by-maximizing-transfer-and-minimizing-interference-1810.11910"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-multilevel-clustering-via-composite-transportation-distance-1810.11911</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-multilevel-clustering-via-composite-transportation-distance-1810.11911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-multilevel-clustering-via-composite-transportation-distance-1810.11911"/></url>
<url><loc>https://scifaro.com/en/abs/rademacher-complexity-for-adversarially-robust-generalization-1810.11914</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rademacher-complexity-for-adversarially-robust-generalization-1810.11914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rademacher-complexity-for-adversarially-robust-generalization-1810.11914"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-with-tail-adaptive-f-divergence-1810.11943</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-with-tail-adaptive-f-divergence-1810.11943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-with-tail-adaptive-f-divergence-1810.11943"/></url>
<url><loc>https://scifaro.com/en/abs/on-controllable-sparse-alternatives-to-softmax-1810.11975</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-controllable-sparse-alternatives-to-softmax-1810.11975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-controllable-sparse-alternatives-to-softmax-1810.11975"/></url>
<url><loc>https://scifaro.com/en/abs/logit-pairing-methods-can-fool-gradient-based-attacks-1810.12042</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logit-pairing-methods-can-fool-gradient-based-attacks-1810.12042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logit-pairing-methods-can-fool-gradient-based-attacks-1810.12042"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-rate-of-training-recurrent-neural-networks-1810.12065</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-rate-of-training-recurrent-neural-networks-1810.12065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-rate-of-training-recurrent-neural-networks-1810.12065"/></url>
<url><loc>https://scifaro.com/en/abs/marginal-replay-vs-conditional-replay-for-continual-learning-1810.12069</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginal-replay-vs-conditional-replay-for-continual-learning-1810.12069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginal-replay-vs-conditional-replay-for-continual-learning-1810.12069"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-teach-with-dynamic-loss-functions-1810.12081</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-teach-with-dynamic-loss-functions-1810.12081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-teach-with-dynamic-loss-functions-1810.12081"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-long-range-information-in-undirected-graphs-with-wave-networks-1810.12153</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-long-range-information-in-undirected-graphs-with-wave-networks-1810.12153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-long-range-information-in-undirected-graphs-with-wave-networks-1810.12153"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-active-exploration-1810.12162</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-active-exploration-1810.12162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-active-exploration-1810.12162"/></url>
<url><loc>https://scifaro.com/en/abs/median-activation-functions-for-graph-neural-networks-1810.12165</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/median-activation-functions-for-graph-neural-networks-1810.12165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/median-activation-functions-for-graph-neural-networks-1810.12165"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-on-stochastic-bandits-1810.12188</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-on-stochastic-bandits-1810.12188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-on-stochastic-bandits-1810.12188"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-risk-and-robustness-general-definitions-and-implications-for-the-uniform-distribution-1810.12272</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-risk-and-robustness-general-definitions-and-implications-for-the-uniform-distribution-1810.12272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-risk-and-robustness-general-definitions-and-implications-for-the-uniform-distribution-1810.12272"/></url>
<url><loc>https://scifaro.com/en/abs/towards-principled-uncertainty-estimation-for-deep-neural-networks-1810.12278</loc><lastmod>2019-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-principled-uncertainty-estimation-for-deep-neural-networks-1810.12278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-principled-uncertainty-estimation-for-deep-neural-networks-1810.12278"/></url>
<url><loc>https://scifaro.com/en/abs/three-mechanisms-of-weight-decay-regularization-1810.12281</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/three-mechanisms-of-weight-decay-regularization-1810.12281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/three-mechanisms-of-weight-decay-regularization-1810.12281"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-generalization-in-deep-reinforcement-learning-1810.12282</loc><lastmod>2019-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-generalization-in-deep-reinforcement-learning-1810.12282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-generalization-in-deep-reinforcement-learning-1810.12282"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-gaussian-process-regression-with-derivatives-1810.12283</loc><lastmod>2018-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-gaussian-process-regression-with-derivatives-1810.12283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-gaussian-process-regression-with-derivatives-1810.12283"/></url>
<url><loc>https://scifaro.com/en/abs/big-data-meet-cyber-physical-systems-a-panoramic-survey-1810.12399</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/big-data-meet-cyber-physical-systems-a-panoramic-survey-1810.12399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/big-data-meet-cyber-physical-systems-a-panoramic-survey-1810.12399"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-screen-for-fast-softmax-inference-on-large-vocabulary-neural-networks-1810.12406</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-screen-for-fast-softmax-inference-on-large-vocabulary-neural-networks-1810.12406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-screen-for-fast-softmax-inference-on-large-vocabulary-neural-networks-1810.12406"/></url>
<url><loc>https://scifaro.com/en/abs/counting-in-language-with-rnns-1810.12411</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counting-in-language-with-rnns-1810.12411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counting-in-language-with-rnns-1810.12411"/></url>
<url><loc>https://scifaro.com/en/abs/stay-with-me-lifetime-maximization-through-heteroscedastic-linear-bandits-with-reneging-1810.12418</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stay-with-me-lifetime-maximization-through-heteroscedastic-linear-bandits-with-reneging-1810.12418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stay-with-me-lifetime-maximization-through-heteroscedastic-linear-bandits-with-reneging-1810.12418"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-the-curse-of-horizon-infinite-horizon-off-policy-estimation-1810.12429</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-the-curse-of-horizon-infinite-horizon-off-policy-estimation-1810.12429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-the-curse-of-horizon-infinite-horizon-off-policy-estimation-1810.12429"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-learning-for-semantic-segmentation-of-large-scale-remote-sensing-data-1810.12448</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-learning-for-semantic-segmentation-of-large-scale-remote-sensing-data-1810.12448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-learning-for-semantic-segmentation-of-large-scale-remote-sensing-data-1810.12448"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-greedy-networks-1810.12464</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-greedy-networks-1810.12464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-greedy-networks-1810.12464"/></url>
<url><loc>https://scifaro.com/en/abs/using-large-ensembles-of-control-variates-for-variational-inference-1810.12482</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-large-ensembles-of-control-variates-for-variational-inference-1810.12482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-large-ensembles-of-control-variates-for-variational-inference-1810.12482"/></url>
<url><loc>https://scifaro.com/en/abs/re-evaluating-continual-learning-scenarios-a-categorization-and-case-for-strong-baselines-1810.12488</loc><lastmod>2019-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/re-evaluating-continual-learning-scenarios-a-categorization-and-case-for-strong-baselines-1810.12488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/re-evaluating-continual-learning-scenarios-a-categorization-and-case-for-strong-baselines-1810.12488"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-probabilistic-generic-traffic-scene-prediction-1810.12506</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-probabilistic-generic-traffic-scene-prediction-1810.12506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-probabilistic-generic-traffic-scene-prediction-1810.12506"/></url>
<url><loc>https://scifaro.com/en/abs/weak-supervision-for-deep-representation-learning-under-class-imbalance-1810.12513</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weak-supervision-for-deep-representation-learning-under-class-imbalance-1810.12513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weak-supervision-for-deep-representation-learning-under-class-imbalance-1810.12513"/></url>
<url><loc>https://scifaro.com/en/abs/enhanced-ensemble-clustering-via-fast-propagation-of-cluster-wise-similarities-1810.12544</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhanced-ensemble-clustering-via-fast-propagation-of-cluster-wise-similarities-1810.12544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhanced-ensemble-clustering-via-fast-propagation-of-cluster-wise-similarities-1810.12544"/></url>
<url><loc>https://scifaro.com/en/abs/relative-importance-sampling-for-off-policy-actor-critic-in-deep-reinforcement-learning-1810.12558</loc><lastmod>2025-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-importance-sampling-for-off-policy-actor-critic-in-deep-reinforcement-learning-1810.12558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-importance-sampling-for-off-policy-actor-critic-in-deep-reinforcement-learning-1810.12558"/></url>
<url><loc>https://scifaro.com/en/abs/shorten-spatial-spectral-rnn-with-parallel-gru-for-hyperspectral-image-classification-1810.12563</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shorten-spatial-spectral-rnn-with-parallel-gru-for-hyperspectral-image-classification-1810.12563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shorten-spatial-spectral-rnn-with-parallel-gru-for-hyperspectral-image-classification-1810.12563"/></url>
<url><loc>https://scifaro.com/en/abs/improved-network-robustness-with-adversary-critic-1810.12576</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-network-robustness-with-adversary-critic-1810.12576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-network-robustness-with-adversary-critic-1810.12576"/></url>
<url><loc>https://scifaro.com/en/abs/dskg-a-deep-sequential-model-for-knowledge-graph-completion-1810.12582</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dskg-a-deep-sequential-model-for-knowledge-graph-completion-1810.12582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dskg-a-deep-sequential-model-for-knowledge-graph-completion-1810.12582"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-transfer-learning-in-deep-neural-networks-wind-power-prediction-using-knowledge-transfer-from-region-to-region-and-between-different-task-domains-1810.12611</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-transfer-learning-in-deep-neural-networks-wind-power-prediction-using-knowledge-transfer-from-region-to-region-and-between-different-task-domains-1810.12611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-transfer-learning-in-deep-neural-networks-wind-power-prediction-using-knowledge-transfer-from-region-to-region-and-between-different-task-domains-1810.12611"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-as-feature-encoding-for-emotion-recognition-1810.12613</loc><lastmod>2018-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-as-feature-encoding-for-emotion-recognition-1810.12613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-as-feature-encoding-for-emotion-recognition-1810.12613"/></url>
<url><loc>https://scifaro.com/en/abs/research-issues-in-mining-user-behavioral-rules-for-context-aware-intelligent-mobile-applications-1810.12692</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/research-issues-in-mining-user-behavioral-rules-for-context-aware-intelligent-mobile-applications-1810.12692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/research-issues-in-mining-user-behavioral-rules-for-context-aware-intelligent-mobile-applications-1810.12692"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-attention-networks-for-interpretability-in-natural-language-question-answering-1810.12698</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-attention-networks-for-interpretability-in-natural-language-question-answering-1810.12698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-attention-networks-for-interpretability-in-natural-language-question-answering-1810.12698"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effectiveness-of-interval-bound-propagation-for-training-verifiably-robust-models-1810.12715</loc><lastmod>2019-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effectiveness-of-interval-bound-propagation-for-training-verifiably-robust-models-1810.12715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effectiveness-of-interval-bound-propagation-for-training-verifiably-robust-models-1810.12715"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-size-management-in-multi-stage-agglomerative-hierarchical-clustering-of-acoustic-speech-segments-1810.12744</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-size-management-in-multi-stage-agglomerative-hierarchical-clustering-of-acoustic-speech-segments-1810.12744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-size-management-in-multi-stage-agglomerative-hierarchical-clustering-of-acoustic-speech-segments-1810.12744"/></url>
<url><loc>https://scifaro.com/en/abs/long-short-term-attention-1810.12752</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-short-term-attention-1810.12752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-short-term-attention-1810.12752"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-attention-unit-1810.12754</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-attention-unit-1810.12754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-attention-unit-1810.12754"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-and-deep-learning-based-lateral-control-for-autonomous-driving-1810.12778</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-and-deep-learning-based-lateral-control-for-autonomous-driving-1810.12778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-and-deep-learning-based-lateral-control-for-autonomous-driving-1810.12778"/></url>
<url><loc>https://scifaro.com/en/abs/transferable-positive-negative-speech-emotion-recognition-via-class-wise-adversarial-domain-adaptation-1810.12782</loc><lastmod>2019-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferable-positive-negative-speech-emotion-recognition-via-class-wise-adversarial-domain-adaptation-1810.12782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferable-positive-negative-speech-emotion-recognition-via-class-wise-adversarial-domain-adaptation-1810.12782"/></url>
<url><loc>https://scifaro.com/en/abs/divergence-network-graphical-calculation-method-of-divergence-functions-1810.12794</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/divergence-network-graphical-calculation-method-of-divergence-functions-1810.12794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/divergence-network-graphical-calculation-method-of-divergence-functions-1810.12794"/></url>
<url><loc>https://scifaro.com/en/abs/deeptwist-learning-model-compression-via-occasional-weight-distortion-1810.12823</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeptwist-learning-model-compression-via-occasional-weight-distortion-1810.12823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeptwist-learning-model-compression-via-occasional-weight-distortion-1810.12823"/></url>
<url><loc>https://scifaro.com/en/abs/data-poisoning-attack-against-unsupervised-node-embedding-methods-1810.12881</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-poisoning-attack-against-unsupervised-node-embedding-methods-1810.12881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-poisoning-attack-against-unsupervised-node-embedding-methods-1810.12881"/></url>
<url><loc>https://scifaro.com/en/abs/exploration-by-random-network-distillation-1810.12894</loc><lastmod>2018-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploration-by-random-network-distillation-1810.12894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploration-by-random-network-distillation-1810.12894"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-laplacian-k-modes-1810.13044</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-laplacian-k-modes-1810.13044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-laplacian-k-modes-1810.13044"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-embedding-of-kernels-in-convolutional-neural-networks-under-random-shuffling-1810.13098</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-embedding-of-kernels-in-convolutional-neural-networks-under-random-shuffling-1810.13098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-embedding-of-kernels-in-convolutional-neural-networks-under-random-shuffling-1810.13098"/></url>
<url><loc>https://scifaro.com/en/abs/dbscan-towards-fast-and-scalable-density-clustering-1810.13105</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dbscan-towards-fast-and-scalable-density-clustering-1810.13105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dbscan-towards-fast-and-scalable-density-clustering-1810.13105"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-system-of-differential-equations-to-model-first-order-adaptive-algorithms-1810.13108</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-system-of-differential-equations-to-model-first-order-adaptive-algorithms-1810.13108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-system-of-differential-equations-to-model-first-order-adaptive-algorithms-1810.13108"/></url>
<url><loc>https://scifaro.com/en/abs/splinenets-continuous-neural-decision-graphs-1810.13118</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/splinenets-continuous-neural-decision-graphs-1810.13118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/splinenets-continuous-neural-decision-graphs-1810.13118"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-extreme-learning-machine-for-recurrent-beta-basis-function-neural-network-training-1810.13135</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-extreme-learning-machine-for-recurrent-beta-basis-function-neural-network-training-1810.13135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-extreme-learning-machine-for-recurrent-beta-basis-function-neural-network-training-1810.13135"/></url>
<url><loc>https://scifaro.com/en/abs/structure-learning-of-deep-neural-networks-with-q-learning-1810.13155</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-learning-of-deep-neural-networks-with-q-learning-1810.13155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-learning-of-deep-neural-networks-with-q-learning-1810.13155"/></url>
<url><loc>https://scifaro.com/en/abs/nearly-tight-bounds-on-linear-regions-of-piecewise-linear-neural-networks-1810.13192</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearly-tight-bounds-on-linear-regions-of-piecewise-linear-neural-networks-1810.13192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearly-tight-bounds-on-linear-regions-of-piecewise-linear-neural-networks-1810.13192"/></url>
<url><loc>https://scifaro.com/en/abs/a-closer-look-at-deep-learning-heuristics-learning-rate-restarts-warmup-and-distillation-1810.13243</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-closer-look-at-deep-learning-heuristics-learning-rate-restarts-warmup-and-distillation-1810.13243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-closer-look-at-deep-learning-heuristics-learning-rate-restarts-warmup-and-distillation-1810.13243"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-deep-learning-on-predicting-prognosis-of-acute-myeloid-leukemia-with-cytogenetics-age-and-mutations-1810.13247</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-deep-learning-on-predicting-prognosis-of-acute-myeloid-leukemia-with-cytogenetics-age-and-mutations-1810.13247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-deep-learning-on-predicting-prognosis-of-acute-myeloid-leukemia-with-cytogenetics-age-and-mutations-1810.13247"/></url>
<url><loc>https://scifaro.com/en/abs/non-linear-canonical-correlation-analysis-a-compressed-representation-approach-1810.13259</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-linear-canonical-correlation-analysis-a-compressed-representation-approach-1810.13259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-linear-canonical-correlation-analysis-a-compressed-representation-approach-1810.13259"/></url>
<url><loc>https://scifaro.com/en/abs/the-medico-task-2018-disease-detection-in-the-gastrointestinal-tract-using-global-features-and-deep-learning-1810.13278</loc><lastmod>2018-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-medico-task-2018-disease-detection-in-the-gastrointestinal-tract-using-global-features-and-deep-learning-1810.13278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-medico-task-2018-disease-detection-in-the-gastrointestinal-tract-using-global-features-and-deep-learning-1810.13278"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-represent-edits-1810.13337</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-represent-edits-1810.13337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-represent-edits-1810.13337"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-machine-learning-for-automated-icd-coding-1810.13348</loc><lastmod>2022-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-machine-learning-for-automated-icd-coding-1810.13348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-machine-learning-for-automated-icd-coding-1810.13348"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-sgd-with-momentum-for-over-parameterized-learning-1810.13395</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-sgd-with-momentum-for-over-parameterized-learning-1810.13395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-sgd-with-momentum-for-over-parameterized-learning-1810.13395"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-mpc-for-end-to-end-planning-and-control-1810.13400</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-mpc-for-end-to-end-planning-and-control-1810.13400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-mpc-for-end-to-end-planning-and-control-1810.13400"/></url>
<url><loc>https://scifaro.com/en/abs/some-new-layer-architectures-for-graph-cnn-1811.00052</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-new-layer-architectures-for-graph-cnn-1811.00052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-new-layer-architectures-for-graph-cnn-1811.00052"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-model-with-beta-bernoulli-process-for-modeling-and-learning-confounding-factors-1811.00073</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-model-with-beta-bernoulli-process-for-modeling-and-learning-confounding-factors-1811.00073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-model-with-beta-bernoulli-process-for-modeling-and-learning-confounding-factors-1811.00073"/></url>
<url><loc>https://scifaro.com/en/abs/the-uea-multivariate-time-series-classification-archive-2018-1811.00075</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-uea-multivariate-time-series-classification-archive-2018-1811.00075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-uea-multivariate-time-series-classification-archive-2018-1811.00075"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-persistence-of-clustering-solutions-and-true-number-of-clusters-in-a-dataset-1811.00102</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-persistence-of-clustering-solutions-and-true-number-of-clusters-in-a-dataset-1811.00102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-persistence-of-clustering-solutions-and-true-number-of-clusters-in-a-dataset-1811.00102"/></url>
<url><loc>https://scifaro.com/en/abs/the-price-of-fair-pca-one-extra-dimension-1811.00103</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-price-of-fair-pca-one-extra-dimension-1811.00103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-price-of-fair-pca-one-extra-dimension-1811.00103"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-simple-approach-to-multi-step-model-based-reinforcement-learning-1811.00128</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-simple-approach-to-multi-step-model-based-reinforcement-learning-1811.00128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-simple-approach-to-multi-step-model-based-reinforcement-learning-1811.00128"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-end-to-end-autonomous-vehicle-testing-via-rare-event-simulation-1811.00145</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-end-to-end-autonomous-vehicle-testing-via-rare-event-simulation-1811.00145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-end-to-end-autonomous-vehicle-testing-via-rare-event-simulation-1811.00145"/></url>
<url><loc>https://scifaro.com/en/abs/recovery-guarantees-for-quadratic-tensors-with-sparse-observations-1811.00148</loc><lastmod>2023-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovery-guarantees-for-quadratic-tensors-with-sparse-observations-1811.00148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovery-guarantees-for-quadratic-tensors-with-sparse-observations-1811.00148"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-density-generative-adversarial-networks-1811.00152</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-density-generative-adversarial-networks-1811.00152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-density-generative-adversarial-networks-1811.00152"/></url>
<url><loc>https://scifaro.com/en/abs/low-precision-random-fourier-features-for-memory-constrained-kernel-approximation-1811.00155</loc><lastmod>2019-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-precision-random-fourier-features-for-memory-constrained-kernel-approximation-1811.00155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-precision-random-fourier-features-for-memory-constrained-kernel-approximation-1811.00155"/></url>
<url><loc>https://scifaro.com/en/abs/perceptionnet-a-deep-convolutional-neural-network-for-late-sensor-fusion-1811.00170</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perceptionnet-a-deep-convolutional-neural-network-for-late-sensor-fusion-1811.00170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perceptionnet-a-deep-convolutional-neural-network-for-late-sensor-fusion-1811.00170"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-using-multiple-times-weight-updating-1811.00178</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-using-multiple-times-weight-updating-1811.00178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-using-multiple-times-weight-updating-1811.00178"/></url>
<url><loc>https://scifaro.com/en/abs/a-regularized-attention-mechanism-for-graph-attention-networks-1811.00181</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-regularized-attention-mechanism-for-graph-attention-networks-1811.00181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-regularized-attention-mechanism-for-graph-attention-networks-1811.00181"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-algorithms-for-statistical-arbitrage-1811.00200</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-algorithms-for-statistical-arbitrage-1811.00200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-algorithms-for-statistical-arbitrage-1811.00200"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-robust-factorization-autoencoder-and-its-application-in-predicting-drug-drug-interactions-1811.00208</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-robust-factorization-autoencoder-and-its-application-in-predicting-drug-drug-interactions-1811.00208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-robust-factorization-autoencoder-and-its-application-in-predicting-drug-drug-interactions-1811.00208"/></url>
<url><loc>https://scifaro.com/en/abs/meta-des-oracle-meta-learning-and-feature-selection-for-ensemble-selection-1811.00217</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-des-oracle-meta-learning-and-feature-selection-for-ensemble-selection-1811.00217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-des-oracle-meta-learning-and-feature-selection-for-ensemble-selection-1811.00217"/></url>
<url><loc>https://scifaro.com/en/abs/sarn-relational-reasoning-through-sequential-attention-1811.00246</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sarn-relational-reasoning-through-sequential-attention-1811.00246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sarn-relational-reasoning-through-sequential-attention-1811.00246"/></url>
<url><loc>https://scifaro.com/en/abs/fnnc-achieving-fairness-through-neural-networks-1811.00247</loc><lastmod>2020-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fnnc-achieving-fairness-through-neural-networks-1811.00247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fnnc-achieving-fairness-through-neural-networks-1811.00247"/></url>
<url><loc>https://scifaro.com/en/abs/horizon-facebook-s-open-source-applied-reinforcement-learning-platform-1811.00260</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/horizon-facebook-s-open-source-applied-reinforcement-learning-platform-1811.00260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/horizon-facebook-s-open-source-applied-reinforcement-learning-platform-1811.00260"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-kernel-k-means-clustering-by-selecting-representative-kernels-1811.00264</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-kernel-k-means-clustering-by-selecting-representative-kernels-1811.00264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-kernel-k-means-clustering-by-selecting-representative-kernels-1811.00264"/></url>
<url><loc>https://scifaro.com/en/abs/liquid-time-constant-recurrent-neural-networks-as-universal-approximators-1811.00321</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/liquid-time-constant-recurrent-neural-networks-as-universal-approximators-1811.00321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/liquid-time-constant-recurrent-neural-networks-as-universal-approximators-1811.00321"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-gait-recognition-using-smartphones-in-the-wild-1811.00338</loc><lastmod>2020-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-gait-recognition-using-smartphones-in-the-wild-1811.00338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-gait-recognition-using-smartphones-in-the-wild-1811.00338"/></url>
<url><loc>https://scifaro.com/en/abs/excessive-invariance-causes-adversarial-vulnerability-1811.00401</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/excessive-invariance-causes-adversarial-vulnerability-1811.00401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/excessive-invariance-causes-adversarial-vulnerability-1811.00401"/></url>
<url><loc>https://scifaro.com/en/abs/technical-note-on-transcription-factor-motif-discovery-from-importance-scores-tf-modisco-version-0-5-6-5-1811.00416</loc><lastmod>2020-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/technical-note-on-transcription-factor-motif-discovery-from-importance-scores-tf-modisco-version-0-5-6-5-1811.00416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/technical-note-on-transcription-factor-motif-discovery-from-importance-scores-tf-modisco-version-0-5-6-5-1811.00416"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-relieff-based-feature-selection-in-spark-1811.00424</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-relieff-based-feature-selection-in-spark-1811.00424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-relieff-based-feature-selection-in-spark-1811.00424"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-regularization-in-markov-decision-process-1811.00429</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-regularization-in-markov-decision-process-1811.00429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-regularization-in-markov-decision-process-1811.00429"/></url>
<url><loc>https://scifaro.com/en/abs/bias-reduction-via-end-to-end-shift-learning-application-to-citizen-science-1811.00458</loc><lastmod>2018-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-reduction-via-end-to-end-shift-learning-application-to-citizen-science-1811.00458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-reduction-via-end-to-end-shift-learning-application-to-citizen-science-1811.00458"/></url>
<url><loc>https://scifaro.com/en/abs/a-latent-topic-model-for-mining-heterogenous-non-randomly-missing-electronic-health-records-data-1811.00464</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-latent-topic-model-for-mining-heterogenous-non-randomly-missing-electronic-health-records-data-1811.00464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-latent-topic-model-for-mining-heterogenous-non-randomly-missing-electronic-health-records-data-1811.00464"/></url>
<url><loc>https://scifaro.com/en/abs/minimizing-close-k-aggregate-loss-improves-classification-1811.00521</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimizing-close-k-aggregate-loss-improves-classification-1811.00521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimizing-close-k-aggregate-loss-improves-classification-1811.00521"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-geometry-of-adversarial-examples-1811.00525</loc><lastmod>2018-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-geometry-of-adversarial-examples-1811.00525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-geometry-of-adversarial-examples-1811.00525"/></url>
<url><loc>https://scifaro.com/en/abs/deep-structured-prediction-with-nonlinear-output-transformations-1811.00539</loc><lastmod>2018-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-structured-prediction-with-nonlinear-output-transformations-1811.00539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-structured-prediction-with-nonlinear-output-transformations-1811.00539"/></url>
<url><loc>https://scifaro.com/en/abs/connections-between-physics-mathematics-and-deep-learning-1811.00576</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/connections-between-physics-mathematics-and-deep-learning-1811.00576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/connections-between-physics-mathematics-and-deep-learning-1811.00576"/></url>
<url><loc>https://scifaro.com/en/abs/functional-nonlinear-sparse-models-1811.00577</loc><lastmod>2020-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-nonlinear-sparse-models-1811.00577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-nonlinear-sparse-models-1811.00577"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-online-hyperparameter-optimization-for-kernel-ridge-regression-with-applications-to-traffic-time-series-prediction-1811.00620</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-online-hyperparameter-optimization-for-kernel-ridge-regression-with-applications-to-traffic-time-series-prediction-1811.00620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-online-hyperparameter-optimization-for-kernel-ridge-regression-with-applications-to-traffic-time-series-prediction-1811.00620"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-signatures-in-backdoor-attacks-1811.00636</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-signatures-in-backdoor-attacks-1811.00636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-signatures-in-backdoor-attacks-1811.00636"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-normalizations-as-bayesian-learning-1811.00639</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-normalizations-as-bayesian-learning-1811.00639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-normalizations-as-bayesian-learning-1811.00639"/></url>
<url><loc>https://scifaro.com/en/abs/online-embedding-compression-for-text-classification-using-low-rank-matrix-factorization-1811.00641</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-embedding-compression-for-text-classification-using-low-rank-matrix-factorization-1811.00641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-embedding-compression-for-text-classification-using-low-rank-matrix-factorization-1811.00641"/></url>
<url><loc>https://scifaro.com/en/abs/a-method-for-dynamic-ensemble-selection-based-on-a-filter-and-an-adaptive-distance-to-improve-the-quality-of-the-regions-of-competence-1811.00669</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-method-for-dynamic-ensemble-selection-based-on-a-filter-and-an-adaptive-distance-to-improve-the-quality-of-the-regions-of-competence-1811.00669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-method-for-dynamic-ensemble-selection-based-on-a-filter-and-an-adaptive-distance-to-improve-the-quality-of-the-regions-of-competence-1811.00669"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-different-prototype-selection-techniques-for-dynamic-classifier-and-ensemble-selection-1811.00677</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-different-prototype-selection-techniques-for-dynamic-classifier-and-ensemble-selection-1811.00677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-different-prototype-selection-techniques-for-dynamic-classifier-and-ensemble-selection-1811.00677"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-perception-of-neuron-point-process-with-unknown-unknowns-1811.00688</loc><lastmod>2019-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-perception-of-neuron-point-process-with-unknown-unknowns-1811.00688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-perception-of-neuron-point-process-with-unknown-unknowns-1811.00688"/></url>
<url><loc>https://scifaro.com/en/abs/learning-latent-fractional-dynamics-with-unknown-unknowns-1811.00703</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-latent-fractional-dynamics-with-unknown-unknowns-1811.00703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-latent-fractional-dynamics-with-unknown-unknowns-1811.00703"/></url>
<url><loc>https://scifaro.com/en/abs/combining-similarity-features-and-deep-representation-learning-for-stance-detection-in-the-context-of-checking-fake-news-1811.00706</loc><lastmod>2021-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-similarity-features-and-deep-representation-learning-for-stance-detection-in-the-context-of-checking-fake-news-1811.00706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-similarity-features-and-deep-representation-learning-for-stance-detection-in-the-context-of-checking-fake-news-1811.00706"/></url>
<url><loc>https://scifaro.com/en/abs/effective-learning-of-probabilistic-models-for-clinical-predictions-from-longitudinal-data-1811.00749</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-learning-of-probabilistic-models-for-clinical-predictions-from-longitudinal-data-1811.00749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-learning-of-probabilistic-models-for-clinical-predictions-from-longitudinal-data-1811.00749"/></url>
<url><loc>https://scifaro.com/en/abs/risk-stratify-confident-stratification-of-patients-based-on-risk-1811.00753</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-stratify-confident-stratification-of-patients-based-on-risk-1811.00753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-stratify-confident-stratification-of-patients-based-on-risk-1811.00753"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-for-multi-fidelity-bayesian-optimization-with-gaussian-processes-1811.00755</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-for-multi-fidelity-bayesian-optimization-with-gaussian-processes-1811.00755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-for-multi-fidelity-bayesian-optimization-with-gaussian-processes-1811.00755"/></url>
<url><loc>https://scifaro.com/en/abs/chemboost-a-chemical-language-based-approach-for-protein-ligand-binding-affinity-prediction-1811.00761</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chemboost-a-chemical-language-based-approach-for-protein-ligand-binding-affinity-prediction-1811.00761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chemboost-a-chemical-language-based-approach-for-protein-ligand-binding-affinity-prediction-1811.00761"/></url>
<url><loc>https://scifaro.com/en/abs/deep-optimisation-solving-combinatorial-optimisation-problems-using-deep-neural-networks-1811.00784</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-optimisation-solving-combinatorial-optimisation-problems-using-deep-neural-networks-1811.00784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-optimisation-solving-combinatorial-optimisation-problems-using-deep-neural-networks-1811.00784"/></url>
<url><loc>https://scifaro.com/en/abs/automated-theorem-proving-in-intuitionistic-propositional-logic-by-deep-reinforcement-learning-1811.00796</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-theorem-proving-in-intuitionistic-propositional-logic-by-deep-reinforcement-learning-1811.00796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-theorem-proving-in-intuitionistic-propositional-logic-by-deep-reinforcement-learning-1811.00796"/></url>
<url><loc>https://scifaro.com/en/abs/orthonet-multilayer-network-data-clustering-1811.00821</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthonet-multilayer-network-data-clustering-1811.00821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthonet-multilayer-network-data-clustering-1811.00821"/></url>
<url><loc>https://scifaro.com/en/abs/multi-kernel-regression-with-sparsity-constraint-1811.00836</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-kernel-regression-with-sparsity-constraint-1811.00836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-kernel-regression-with-sparsity-constraint-1811.00836"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-for-screening-of-cervical-cancer-a-chronological-review-1811.00849</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-screening-of-cervical-cancer-a-chronological-review-1811.00849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-screening-of-cervical-cancer-a-chronological-review-1811.00849"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-deep-neural-networks-using-topological-data-analysis-1811.00852</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-deep-neural-networks-using-topological-data-analysis-1811.00852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-deep-neural-networks-using-topological-data-analysis-1811.00852"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-neural-network-robustness-certification-with-general-activation-functions-1811.00866</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-neural-network-robustness-certification-with-general-activation-functions-1811.00866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-neural-network-robustness-certification-with-general-activation-functions-1811.00866"/></url>
<url><loc>https://scifaro.com/en/abs/can-automated-smoothing-significantly-improve-benchmark-time-series-classification-algorithms-1811.00894</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-automated-smoothing-significantly-improve-benchmark-time-series-classification-algorithms-1811.00894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-automated-smoothing-significantly-improve-benchmark-time-series-classification-algorithms-1811.00894"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-neural-networks-for-epileptic-seizure-prediction-1811.00915</loc><lastmod>2023-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-neural-networks-for-epileptic-seizure-prediction-1811.00915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-neural-networks-for-epileptic-seizure-prediction-1811.00915"/></url>
<url><loc>https://scifaro.com/en/abs/dantzig-selector-with-an-approximately-optimal-denoising-matrix-and-its-application-to-reinforcement-learning-1811.00958</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dantzig-selector-with-an-approximately-optimal-denoising-matrix-and-its-application-to-reinforcement-learning-1811.00958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dantzig-selector-with-an-approximately-optimal-denoising-matrix-and-its-application-to-reinforcement-learning-1811.00958"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-and-learning-from-imbalanced-data-1811.00972</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-and-learning-from-imbalanced-data-1811.00972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-and-learning-from-imbalanced-data-1811.00972"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-for-imbalanced-datasets-with-deep-generative-models-1811.00986</loc><lastmod>2018-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-for-imbalanced-datasets-with-deep-generative-models-1811.00986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-for-imbalanced-datasets-with-deep-generative-models-1811.00986"/></url>
<url><loc>https://scifaro.com/en/abs/invertible-residual-networks-1811.00995</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invertible-residual-networks-1811.00995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invertible-residual-networks-1811.00995"/></url>
<url><loc>https://scifaro.com/en/abs/trisec-training-data-unaware-imperceptible-security-attacks-on-deep-neural-networks-1811.01031</loc><lastmod>2020-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trisec-training-data-unaware-imperceptible-security-attacks-on-deep-neural-networks-1811.01031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trisec-training-data-unaware-imperceptible-security-attacks-on-deep-neural-networks-1811.01031"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-estimation-of-neural-net-distance-1811.01054</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-estimation-of-neural-net-distance-1811.01054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-estimation-of-neural-net-distance-1811.01054"/></url>
<url><loc>https://scifaro.com/en/abs/semidefinite-relaxations-for-certifying-robustness-to-adversarial-examples-1811.01057</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semidefinite-relaxations-for-certifying-robustness-to-adversarial-examples-1811.01057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semidefinite-relaxations-for-certifying-robustness-to-adversarial-examples-1811.01057"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-isolated-and-overlapping-audio-event-detection-with-multi-label-multi-task-convolutional-recurrent-neural-networks-1811.01092</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-isolated-and-overlapping-audio-event-detection-with-multi-label-multi-task-convolutional-recurrent-neural-networks-1811.01092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-isolated-and-overlapping-audio-event-detection-with-multi-label-multi-task-convolutional-recurrent-neural-networks-1811.01092"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-rank-query-graphs-for-complex-question-answering-over-knowledge-graphs-1811.01118</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-rank-query-graphs-for-complex-question-answering-over-knowledge-graphs-1811.01118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-rank-query-graphs-for-complex-question-answering-over-knowledge-graphs-1811.01118"/></url>
<url><loc>https://scifaro.com/en/abs/topological-approaches-to-deep-learning-1811.01122</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-approaches-to-deep-learning-1811.01122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-approaches-to-deep-learning-1811.01122"/></url>
<url><loc>https://scifaro.com/en/abs/virel-a-variational-inference-framework-for-reinforcement-learning-1811.01132</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/virel-a-variational-inference-framework-for-reinforcement-learning-1811.01132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/virel-a-variational-inference-framework-for-reinforcement-learning-1811.01132"/></url>
<url><loc>https://scifaro.com/en/abs/closed-loop-memory-gan-for-continual-learning-1811.01146</loc><lastmod>2020-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/closed-loop-memory-gan-for-continual-learning-1811.01146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/closed-loop-memory-gan-for-continual-learning-1811.01146"/></url>
<url><loc>https://scifaro.com/en/abs/boosted-sparse-and-low-rank-tensor-regression-1811.01158</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosted-sparse-and-low-rank-tensor-regression-1811.01158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosted-sparse-and-low-rank-tensor-regression-1811.01158"/></url>
<url><loc>https://scifaro.com/en/abs/radius-margin-bounds-for-deep-neural-networks-1811.01171</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/radius-margin-bounds-for-deep-neural-networks-1811.01171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/radius-margin-bounds-for-deep-neural-networks-1811.01171"/></url>
<url><loc>https://scifaro.com/en/abs/nonparallel-emotional-speech-conversion-1811.01174</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparallel-emotional-speech-conversion-1811.01174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparallel-emotional-speech-conversion-1811.01174"/></url>
<url><loc>https://scifaro.com/en/abs/provable-exactness-for-asymmetric-low-rank-sdp-learning-1811.01198</loc><lastmod>2026-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-exactness-for-asymmetric-low-rank-sdp-learning-1811.01198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-exactness-for-asymmetric-low-rank-sdp-learning-1811.01198"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-defend-by-learning-to-attack-1811.01213</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-defend-by-learning-to-attack-1811.01213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-defend-by-learning-to-attack-1811.01213"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-mixtures-of-rankings-from-noisy-information-1811.01216</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-mixtures-of-rankings-from-noisy-information-1811.01216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-mixtures-of-rankings-from-noisy-information-1811.01216"/></url>
<url><loc>https://scifaro.com/en/abs/caad-2018-powerful-none-access-black-box-attack-based-on-adversarial-transformation-network-1811.01225</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/caad-2018-powerful-none-access-black-box-attack-based-on-adversarial-transformation-network-1811.01225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/caad-2018-powerful-none-access-black-box-attack-based-on-adversarial-transformation-network-1811.01225"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-neighbor-embedding-under-f-divergences-1811.01247</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-neighbor-embedding-under-f-divergences-1811.01247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-neighbor-embedding-under-f-divergences-1811.01247"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-feature-acquisition-using-denoising-autoencoders-1811.01249</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-feature-acquisition-using-denoising-autoencoders-1811.01249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-feature-acquisition-using-denoising-autoencoders-1811.01249"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-gain-1811.01302</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-gain-1811.01302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-gain-1811.01302"/></url>
<url><loc>https://scifaro.com/en/abs/block-wise-partitioning-for-extreme-multi-label-classification-1811.01305</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-wise-partitioning-for-extreme-multi-label-classification-1811.01305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-wise-partitioning-for-extreme-multi-label-classification-1811.01305"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-stated-preference-for-mobility-on-demand-transit-a-comparison-of-machine-learning-and-logit-models-1811.01315</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-stated-preference-for-mobility-on-demand-transit-a-comparison-of-machine-learning-and-logit-models-1811.01315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-stated-preference-for-mobility-on-demand-transit-a-comparison-of-machine-learning-and-logit-models-1811.01315"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-collaborative-scheme-for-deep-neural-networks-1811.01316</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-collaborative-scheme-for-deep-neural-networks-1811.01316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-collaborative-scheme-for-deep-neural-networks-1811.01316"/></url>
<url><loc>https://scifaro.com/en/abs/deep-robust-framework-for-protein-function-prediction-using-variable-length-protein-sequences-1811.01338</loc><lastmod>2022-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-robust-framework-for-protein-function-prediction-using-variable-length-protein-sequences-1811.01338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-robust-framework-for-protein-function-prediction-using-variable-length-protein-sequences-1811.01338"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-predictive-coding-inspired-variational-rnn-model-for-online-prediction-and-recognition-1811.01339</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-predictive-coding-inspired-variational-rnn-model-for-online-prediction-and-recognition-1811.01339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-predictive-coding-inspired-variational-rnn-model-for-online-prediction-and-recognition-1811.01339"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-context-features-hidden-in-end-to-end-tts-1811.01376</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-context-features-hidden-in-end-to-end-tts-1811.01376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-context-features-hidden-in-end-to-end-tts-1811.01376"/></url>
<url><loc>https://scifaro.com/en/abs/neural-crf-transducers-for-sequence-labeling-1811.01382</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-crf-transducers-for-sequence-labeling-1811.01382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-crf-transducers-for-sequence-labeling-1811.01382"/></url>
<url><loc>https://scifaro.com/en/abs/qusecnets-quantization-based-defense-mechanism-for-securing-deep-neural-network-against-adversarial-attacks-1811.01437</loc><lastmod>2020-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qusecnets-quantization-based-defense-mechanism-for-securing-deep-neural-network-against-adversarial-attacks-1811.01437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qusecnets-quantization-based-defense-mechanism-for-securing-deep-neural-network-against-adversarial-attacks-1811.01437"/></url>
<url><loc>https://scifaro.com/en/abs/sscnets-robustifying-dnns-using-secure-selective-convolutional-filters-1811.01443</loc><lastmod>2020-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sscnets-robustifying-dnns-using-secure-selective-convolutional-filters-1811.01443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sscnets-robustifying-dnns-using-secure-selective-convolutional-filters-1811.01443"/></url>
<url><loc>https://scifaro.com/en/abs/fademl-understanding-the-impact-of-pre-processing-noise-filtering-on-adversarial-machine-learning-1811.01444</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fademl-understanding-the-impact-of-pre-processing-noise-filtering-on-adversarial-machine-learning-1811.01444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fademl-understanding-the-impact-of-pre-processing-noise-filtering-on-adversarial-machine-learning-1811.01444"/></url>
<url><loc>https://scifaro.com/en/abs/deep-metric-learning-by-online-soft-mining-and-class-aware-attention-1811.01459</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-metric-learning-by-online-soft-mining-and-class-aware-attention-1811.01459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-metric-learning-by-online-soft-mining-and-class-aware-attention-1811.01459"/></url>
<url><loc>https://scifaro.com/en/abs/security-for-machine-learning-based-systems-attacks-and-challenges-during-training-and-inference-1811.01463</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/security-for-machine-learning-based-systems-attacks-and-challenges-during-training-and-inference-1811.01463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/security-for-machine-learning-based-systems-attacks-and-challenges-during-training-and-inference-1811.01463"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-universal-measurements-of-non-linear-embeddings-1811.01464</loc><lastmod>2022-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-universal-measurements-of-non-linear-embeddings-1811.01464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-universal-measurements-of-non-linear-embeddings-1811.01464"/></url>
<url><loc>https://scifaro.com/en/abs/practical-batch-bayesian-optimization-for-less-expensive-functions-1811.01466</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-batch-bayesian-optimization-for-less-expensive-functions-1811.01466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-batch-bayesian-optimization-for-less-expensive-functions-1811.01466"/></url>
<url><loc>https://scifaro.com/en/abs/contingency-aware-exploration-in-reinforcement-learning-1811.01483</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contingency-aware-exploration-in-reinforcement-learning-1811.01483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contingency-aware-exploration-in-reinforcement-learning-1811.01483"/></url>
<url><loc>https://scifaro.com/en/abs/lifted-proximal-operator-machines-1811.01501</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifted-proximal-operator-machines-1811.01501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifted-proximal-operator-machines-1811.01501"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-and-experimental-analysis-on-the-generalizability-of-distribution-regression-network-1811.01506</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-and-experimental-analysis-on-the-generalizability-of-distribution-regression-network-1811.01506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-and-experimental-analysis-on-the-generalizability-of-distribution-regression-network-1811.01506"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-deep-clustering-for-source-separation-direct-learning-from-mixtures-using-spatial-information-1811.01531</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-deep-clustering-for-source-separation-direct-learning-from-mixtures-using-spatial-information-1811.01531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-deep-clustering-for-source-separation-direct-learning-from-mixtures-using-spatial-information-1811.01531"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-time-series-classification-1811.01533</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-time-series-classification-1811.01533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-time-series-classification-1811.01533"/></url>
<url><loc>https://scifaro.com/en/abs/pilae-a-non-gradient-descent-learning-scheme-for-deep-feedforward-neural-networks-1811.01545</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pilae-a-non-gradient-descent-learning-scheme-for-deep-feedforward-neural-networks-1811.01545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pilae-a-non-gradient-descent-learning-scheme-for-deep-feedforward-neural-networks-1811.01545"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-by-reconstructing-neighborhoods-1811.01557</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-by-reconstructing-neighborhoods-1811.01557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-by-reconstructing-neighborhoods-1811.01557"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-modified-equations-and-dynamics-of-stochastic-gradient-algorithms-i-mathematical-foundations-1811.01558</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-modified-equations-and-dynamics-of-stochastic-gradient-algorithms-i-mathematical-foundations-1811.01558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-modified-equations-and-dynamics-of-stochastic-gradient-algorithms-i-mathematical-foundations-1811.01558"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-training-of-linear-models-without-compromising-convergence-1811.01564</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-training-of-linear-models-without-compromising-convergence-1811.01564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-training-of-linear-models-without-compromising-convergence-1811.01564"/></url>
<url><loc>https://scifaro.com/en/abs/task-embedded-coordinate-update-a-realizable-framework-for-multivariate-non-convex-optimization-1811.01587</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-embedded-coordinate-update-a-realizable-framework-for-multivariate-non-convex-optimization-1811.01587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-embedded-coordinate-update-a-realizable-framework-for-multivariate-non-convex-optimization-1811.01587"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-random-label-memorization-for-unsupervised-pre-training-1811.01640</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-random-label-memorization-for-unsupervised-pre-training-1811.01640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-random-label-memorization-for-unsupervised-pre-training-1811.01640"/></url>
<url><loc>https://scifaro.com/en/abs/exact-multiplicative-updates-for-convolutional-beta-nmf-in-2d-1811.01661</loc><lastmod>2024-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-multiplicative-updates-for-convolutional-beta-nmf-in-2d-1811.01661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-multiplicative-updates-for-convolutional-beta-nmf-in-2d-1811.01661"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-with-variational-graph-autoencoders-application-in-hyperlocal-air-quality-inference-1811.01662</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-with-variational-graph-autoencoders-application-in-hyperlocal-air-quality-inference-1811.01662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-with-variational-graph-autoencoders-application-in-hyperlocal-air-quality-inference-1811.01662"/></url>
<url><loc>https://scifaro.com/en/abs/releq-a-reinforcement-learning-approach-for-deep-quantization-of-neural-networks-1811.01704</loc><lastmod>2020-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/releq-a-reinforcement-learning-approach-for-deep-quantization-of-neural-networks-1811.01704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/releq-a-reinforcement-learning-approach-for-deep-quantization-of-neural-networks-1811.01704"/></url>
<url><loc>https://scifaro.com/en/abs/multi-armed-bandits-with-compensation-1811.01715</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-armed-bandits-with-compensation-1811.01715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-armed-bandits-with-compensation-1811.01715"/></url>
<url><loc>https://scifaro.com/en/abs/meta-des-h-a-dynamic-ensemble-selection-technique-using-meta-learning-and-a-dynamic-weighting-approach-1811.01742</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-des-h-a-dynamic-ensemble-selection-technique-using-meta-learning-and-a-dynamic-weighting-approach-1811.01742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-des-h-a-dynamic-ensemble-selection-technique-using-meta-learning-and-a-dynamic-weighting-approach-1811.01742"/></url>
<url><loc>https://scifaro.com/en/abs/on-meta-learning-for-dynamic-ensemble-selection-1811.01743</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-meta-learning-for-dynamic-ensemble-selection-1811.01743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-meta-learning-for-dynamic-ensemble-selection-1811.01743"/></url>
<url><loc>https://scifaro.com/en/abs/funn-flexible-unsupervised-neural-network-1811.01749</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/funn-flexible-unsupervised-neural-network-1811.01749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/funn-flexible-unsupervised-neural-network-1811.01749"/></url>
<url><loc>https://scifaro.com/en/abs/how-deep-is-deep-enough-quantifying-class-separability-in-the-hidden-layers-of-deep-neural-networks-1811.01753</loc><lastmod>2022-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-deep-is-deep-enough-quantifying-class-separability-in-the-hidden-layers-of-deep-neural-networks-1811.01753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-deep-is-deep-enough-quantifying-class-separability-in-the-hidden-layers-of-deep-neural-networks-1811.01753"/></url>
<url><loc>https://scifaro.com/en/abs/how-reasonable-are-common-sense-reasoning-tasks-a-case-study-on-the-winograd-schema-challenge-and-swag-1811.01778</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-reasonable-are-common-sense-reasoning-tasks-a-case-study-on-the-winograd-schema-challenge-and-swag-1811.01778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-reasonable-are-common-sense-reasoning-tasks-a-case-study-on-the-winograd-schema-challenge-and-swag-1811.01778"/></url>
<url><loc>https://scifaro.com/en/abs/active-deep-learning-attacks-under-strict-rate-limitations-for-online-api-calls-1811.01811</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-deep-learning-attacks-under-strict-rate-limitations-for-online-api-calls-1811.01811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-deep-learning-attacks-under-strict-rate-limitations-for-online-api-calls-1811.01811"/></url>
<url><loc>https://scifaro.com/en/abs/structured-neural-summarization-1811.01824</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-neural-summarization-1811.01824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-neural-summarization-1811.01824"/></url>
<url><loc>https://scifaro.com/en/abs/tzk-flow-conditional-generative-model-1811.01837</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tzk-flow-conditional-generative-model-1811.01837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tzk-flow-conditional-generative-model-1811.01837"/></url>
<url><loc>https://scifaro.com/en/abs/multi-layer-relation-networks-1811.01838</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-layer-relation-networks-1811.01838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-layer-relation-networks-1811.01838"/></url>
<url><loc>https://scifaro.com/en/abs/deep-genetic-network-1811.01845</loc><lastmod>2019-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-genetic-network-1811.01845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-genetic-network-1811.01845"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-based-dynamic-model-selection-for-short-term-load-forecasting-1811.01846</loc><lastmod>2018-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-based-dynamic-model-selection-for-short-term-load-forecasting-1811.01846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-based-dynamic-model-selection-for-short-term-load-forecasting-1811.01846"/></url>
<url><loc>https://scifaro.com/en/abs/plan-online-learn-offline-efficient-learning-and-exploration-via-model-based-control-1811.01848</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plan-online-learn-offline-efficient-learning-and-exploration-via-model-based-control-1811.01848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plan-online-learn-offline-efficient-learning-and-exploration-via-model-based-control-1811.01848"/></url>
<url><loc>https://scifaro.com/en/abs/janossy-pooling-learning-deep-permutation-invariant-functions-for-variable-size-inputs-1811.01900</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/janossy-pooling-learning-deep-permutation-invariant-functions-for-variable-size-inputs-1811.01900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/janossy-pooling-learning-deep-permutation-invariant-functions-for-variable-size-inputs-1811.01900"/></url>
<url><loc>https://scifaro.com/en/abs/fast-non-bayesian-poisson-factorization-for-implicit-feedback-recommendations-1811.01908</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-non-bayesian-poisson-factorization-for-implicit-feedback-recommendations-1811.01908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-non-bayesian-poisson-factorization-for-implicit-feedback-recommendations-1811.01908"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-evaluating-contextual-multi-armed-bandit-problems-in-r-1811.01926</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-evaluating-contextual-multi-armed-bandit-problems-in-r-1811.01926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-evaluating-contextual-multi-armed-bandit-problems-in-r-1811.01926"/></url>
<url><loc>https://scifaro.com/en/abs/finding-mixed-nash-equilibria-of-generative-adversarial-networks-1811.02002</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-mixed-nash-equilibria-of-generative-adversarial-networks-1811.02002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-mixed-nash-equilibria-of-generative-adversarial-networks-1811.02002"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-theory-of-equivariant-cnns-on-homogeneous-spaces-1811.02017</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-theory-of-equivariant-cnns-on-homogeneous-spaces-1811.02017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-theory-of-equivariant-cnns-on-homogeneous-spaces-1811.02017"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-connections-between-active-learning-and-model-extraction-1811.02054</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-connections-between-active-learning-and-model-extraction-1811.02054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-connections-between-active-learning-and-model-extraction-1811.02054"/></url>
<url><loc>https://scifaro.com/en/abs/a-recurrent-graph-neural-network-for-multi-relational-data-1811.02061</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-recurrent-graph-neural-network-for-multi-relational-data-1811.02061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-recurrent-graph-neural-network-for-multi-relational-data-1811.02061"/></url>
<url><loc>https://scifaro.com/en/abs/sample-compression-support-vectors-and-generalization-in-deep-learning-1811.02067</loc><lastmod>2020-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-compression-support-vectors-and-generalization-in-deep-learning-1811.02067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-compression-support-vectors-and-generalization-in-deep-learning-1811.02067"/></url>
<url><loc>https://scifaro.com/en/abs/quota-the-quantile-option-architecture-for-reinforcement-learning-1811.02073</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quota-the-quantile-option-architecture-for-reinforcement-learning-1811.02073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quota-the-quantile-option-architecture-for-reinforcement-learning-1811.02073"/></url>
<url><loc>https://scifaro.com/en/abs/mesh-tensorflow-deep-learning-for-supercomputers-1811.02084</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mesh-tensorflow-deep-learning-for-supercomputers-1811.02084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mesh-tensorflow-deep-learning-for-supercomputers-1811.02084"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-machines-beat-deep-neural-networks-on-mask-based-single-channel-speech-enhancement-1811.02095</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-machines-beat-deep-neural-networks-on-mask-based-single-channel-speech-enhancement-1811.02095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-machines-beat-deep-neural-networks-on-mask-based-single-channel-speech-enhancement-1811.02095"/></url>
<url><loc>https://scifaro.com/en/abs/student-s-t-generative-adversarial-networks-1811.02132</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/student-s-t-generative-adversarial-networks-1811.02132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/student-s-t-generative-adversarial-networks-1811.02132"/></url>
<url><loc>https://scifaro.com/en/abs/extended-isolation-forest-1811.02141</loc><lastmod>2020-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extended-isolation-forest-1811.02141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extended-isolation-forest-1811.02141"/></url>
<url><loc>https://scifaro.com/en/abs/how-many-pairwise-preferences-do-we-need-to-rank-a-graph-consistently-1811.02161</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-many-pairwise-preferences-do-we-need-to-rank-a-graph-consistently-1811.02161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-many-pairwise-preferences-do-we-need-to-rank-a-graph-consistently-1811.02161"/></url>
<url><loc>https://scifaro.com/en/abs/credit-card-fraud-detection-in-e-commerce-an-outlier-detection-approach-1811.02196</loc><lastmod>2019-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/credit-card-fraud-detection-in-e-commerce-an-outlier-detection-approach-1811.02196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/credit-card-fraud-detection-in-e-commerce-an-outlier-detection-approach-1811.02196"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-filtering-with-stability-1811.02198</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-filtering-with-stability-1811.02198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-filtering-with-stability-1811.02198"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-exponential-family-estimation-via-doubly-dual-embedding-1811.02228</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-exponential-family-estimation-via-doubly-dual-embedding-1811.02228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-exponential-family-estimation-via-doubly-dual-embedding-1811.02228"/></url>
<url><loc>https://scifaro.com/en/abs/fast-hyperparameter-optimization-of-deep-neural-networks-via-ensembling-multiple-surrogates-1811.02319</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-hyperparameter-optimization-of-deep-neural-networks-via-ensembling-multiple-surrogates-1811.02319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-hyperparameter-optimization-of-deep-neural-networks-via-ensembling-multiple-surrogates-1811.02319"/></url>
<url><loc>https://scifaro.com/en/abs/elastic-cocoa-scaling-in-to-improve-convergence-1811.02322</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elastic-cocoa-scaling-in-to-improve-convergence-1811.02322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elastic-cocoa-scaling-in-to-improve-convergence-1811.02322"/></url>
<url><loc>https://scifaro.com/en/abs/kalman-filter-modifier-for-neural-networks-in-non-stationary-environments-1811.02361</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kalman-filter-modifier-for-neural-networks-in-non-stationary-environments-1811.02361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kalman-filter-modifier-for-neural-networks-in-non-stationary-environments-1811.02361"/></url>
<url><loc>https://scifaro.com/en/abs/robust-bhattacharyya-bound-linear-discriminant-analysis-through-adaptive-algorithm-1811.02384</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-bhattacharyya-bound-linear-discriminant-analysis-through-adaptive-algorithm-1811.02384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-bhattacharyya-bound-linear-discriminant-analysis-through-adaptive-algorithm-1811.02384"/></url>
<url><loc>https://scifaro.com/en/abs/synaptic-strength-for-convolutional-neural-network-1811.02454</loc><lastmod>2018-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synaptic-strength-for-convolutional-neural-network-1811.02454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synaptic-strength-for-convolutional-neural-network-1811.02454"/></url>
<url><loc>https://scifaro.com/en/abs/regret-circuits-composability-of-regret-minimizers-1811.02540</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-circuits-composability-of-regret-minimizers-1811.02540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-circuits-composability-of-regret-minimizers-1811.02540"/></url>
<url><loc>https://scifaro.com/en/abs/a-closer-look-at-deep-policy-gradients-1811.02553</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-closer-look-at-deep-policy-gradients-1811.02553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-closer-look-at-deep-policy-gradients-1811.02553"/></url>
<url><loc>https://scifaro.com/en/abs/deep-weighted-averaging-classifiers-1811.02579</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-weighted-averaging-classifiers-1811.02579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-weighted-averaging-classifiers-1811.02579"/></url>
<url><loc>https://scifaro.com/en/abs/online-off-policy-prediction-1811.02597</loc><lastmod>2018-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-off-policy-prediction-1811.02597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-off-policy-prediction-1811.02597"/></url>
<url><loc>https://scifaro.com/en/abs/training-generative-adversarial-networks-with-weights-1811.02598</loc><lastmod>2018-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-generative-adversarial-networks-with-weights-1811.02598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-generative-adversarial-networks-with-weights-1811.02598"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-network-embedding-via-graph-factorization-clustering-and-co-regularized-multi-view-agreement-1811.02616</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-network-embedding-via-graph-factorization-clustering-and-co-regularized-multi-view-agreement-1811.02616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-network-embedding-via-graph-factorization-clustering-and-co-regularized-multi-view-agreement-1811.02616"/></url>
<url><loc>https://scifaro.com/en/abs/category-trees-1811.02617</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/category-trees-1811.02617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/category-trees-1811.02617"/></url>
<url><loc>https://scifaro.com/en/abs/state-aggregation-learning-from-markov-transition-data-1811.02619</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-aggregation-learning-from-markov-transition-data-1811.02619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-aggregation-learning-from-markov-transition-data-1811.02619"/></url>
<url><loc>https://scifaro.com/en/abs/mixtrain-scalable-training-of-verifiably-robust-neural-networks-1811.02625</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixtrain-scalable-training-of-verifiably-robust-neural-networks-1811.02625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixtrain-scalable-training-of-verifiably-robust-neural-networks-1811.02625"/></url>
<url><loc>https://scifaro.com/en/abs/cab-continuous-adaptive-blending-estimator-for-policy-evaluation-and-learning-1811.02672</loc><lastmod>2019-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cab-continuous-adaptive-blending-estimator-for-policy-evaluation-and-learning-1811.02672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cab-continuous-adaptive-blending-estimator-for-policy-evaluation-and-learning-1811.02672"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-via-l-bfgs-optimization-1811.02693</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-via-l-bfgs-optimization-1811.02693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-via-l-bfgs-optimization-1811.02693"/></url>
<url><loc>https://scifaro.com/en/abs/ace-an-actor-ensemble-algorithm-for-continuous-control-with-tree-search-1811.02696</loc><lastmod>2018-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ace-an-actor-ensemble-algorithm-for-continuous-control-with-tree-search-1811.02696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ace-an-actor-ensemble-algorithm-for-continuous-control-with-tree-search-1811.02696"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-frank-wolfe-algorithm-for-exemplar-selection-1811.02702</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-frank-wolfe-algorithm-for-exemplar-selection-1811.02702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-frank-wolfe-algorithm-for-exemplar-selection-1811.02702"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bottom-up-subspace-clustering-using-fp-trees-for-high-dimensional-data-1811.02722</loc><lastmod>2018-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bottom-up-subspace-clustering-using-fp-trees-for-high-dimensional-data-1811.02722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bottom-up-subspace-clustering-using-fp-trees-for-high-dimensional-data-1811.02722"/></url>
<url><loc>https://scifaro.com/en/abs/early-prediction-of-acute-kidney-injury-in-critical-care-setting-using-clinical-notes-1811.02757</loc><lastmod>2018-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-prediction-of-acute-kidney-injury-in-critical-care-setting-using-clinical-notes-1811.02757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-prediction-of-acute-kidney-injury-in-critical-care-setting-using-clinical-notes-1811.02757"/></url>
<url><loc>https://scifaro.com/en/abs/yasenn-explaining-neural-networks-via-partitioning-activation-sequences-1811.02783</loc><lastmod>2018-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/yasenn-explaining-neural-networks-via-partitioning-activation-sequences-1811.02783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/yasenn-explaining-neural-networks-via-partitioning-activation-sequences-1811.02783"/></url>
<url><loc>https://scifaro.com/en/abs/median-binary-connect-method-and-a-binary-convolutional-neural-nework-for-word-recognition-1811.02784</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/median-binary-connect-method-and-a-binary-convolutional-neural-nework-for-word-recognition-1811.02784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/median-binary-connect-method-and-a-binary-convolutional-neural-nework-for-word-recognition-1811.02784"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-graph-autoencoders-1811.02798</loc><lastmod>2018-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-graph-autoencoders-1811.02798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-graph-autoencoders-1811.02798"/></url>
<url><loc>https://scifaro.com/en/abs/effects-of-dataset-properties-on-the-training-of-gans-1811.02850</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effects-of-dataset-properties-on-the-training-of-gans-1811.02850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effects-of-dataset-properties-on-the-training-of-gans-1811.02850"/></url>
<url><loc>https://scifaro.com/en/abs/model-inconsistent-but-correlated-noise-multi-view-subspace-learning-with-regularized-mixture-of-gaussians-1811.02934</loc><lastmod>2018-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-inconsistent-but-correlated-noise-multi-view-subspace-learning-with-regularized-mixture-of-gaussians-1811.02934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-inconsistent-but-correlated-noise-multi-view-subspace-learning-with-regularized-mixture-of-gaussians-1811.02934"/></url>
<url><loc>https://scifaro.com/en/abs/behavioural-repertoire-via-generative-adversarial-policy-networks-1811.02945</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/behavioural-repertoire-via-generative-adversarial-policy-networks-1811.02945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/behavioural-repertoire-via-generative-adversarial-policy-networks-1811.02945"/></url>
<url><loc>https://scifaro.com/en/abs/toward-efficient-breast-cancer-diagnosis-and-survival-prediction-using-l-perceptron-1811.03016</loc><lastmod>2018-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-efficient-breast-cancer-diagnosis-and-survival-prediction-using-l-perceptron-1811.03016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-efficient-breast-cancer-diagnosis-and-survival-prediction-using-l-perceptron-1811.03016"/></url>
<url><loc>https://scifaro.com/en/abs/policy-certificates-towards-accountable-reinforcement-learning-1811.03056</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-certificates-towards-accountable-reinforcement-learning-1811.03056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-certificates-towards-accountable-reinforcement-learning-1811.03056"/></url>
<url><loc>https://scifaro.com/en/abs/flops-as-a-direct-optimization-objective-for-learning-sparse-neural-networks-1811.03060</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flops-as-a-direct-optimization-objective-for-learning-sparse-neural-networks-1811.03060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flops-as-a-direct-optimization-objective-for-learning-sparse-neural-networks-1811.03060"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-near-universal-time-series-data-mining-tool-introducing-the-matrix-profile-1811.03064</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-near-universal-time-series-data-mining-tool-introducing-the-matrix-profile-1811.03064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-near-universal-time-series-data-mining-tool-introducing-the-matrix-profile-1811.03064"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-well-behaved-vs-pathological-deep-neural-networks-1811.03087</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-well-behaved-vs-pathological-deep-neural-networks-1811.03087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-well-behaved-vs-pathological-deep-neural-networks-1811.03087"/></url>
<url><loc>https://scifaro.com/en/abs/blockwise-parallel-decoding-for-deep-autoregressive-models-1811.03115</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blockwise-parallel-decoding-for-deep-autoregressive-models-1811.03115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blockwise-parallel-decoding-for-deep-autoregressive-models-1811.03115"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-classification-to-improve-poultry-welfare-1811.03149</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-classification-to-improve-poultry-welfare-1811.03149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-classification-to-improve-poultry-welfare-1811.03149"/></url>
<url><loc>https://scifaro.com/en/abs/dragonpaint-rule-based-bootstrapping-for-small-data-with-an-application-to-cartoon-coloring-1811.03151</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dragonpaint-rule-based-bootstrapping-for-small-data-with-an-application-to-cartoon-coloring-1811.03151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dragonpaint-rule-based-bootstrapping-for-small-data-with-an-application-to-cartoon-coloring-1811.03151"/></url>
<url><loc>https://scifaro.com/en/abs/srp-efficient-class-aware-embedding-learning-for-large-scale-data-via-supervised-random-projections-1811.03166</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/srp-efficient-class-aware-embedding-learning-for-large-scale-data-via-supervised-random-projections-1811.03166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/srp-efficient-class-aware-embedding-learning-for-large-scale-data-via-supervised-random-projections-1811.03166"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-transfer-via-distillation-of-activation-boundaries-formed-by-hidden-neurons-1811.03233</loc><lastmod>2018-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-transfer-via-distillation-of-activation-boundaries-formed-by-hidden-neurons-1811.03233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-transfer-via-distillation-of-activation-boundaries-formed-by-hidden-neurons-1811.03233"/></url>
<url><loc>https://scifaro.com/en/abs/abc-efficient-selection-of-machine-learning-configuration-on-large-dataset-1811.03250</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abc-efficient-selection-of-machine-learning-configuration-on-large-dataset-1811.03250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abc-efficient-selection-of-machine-learning-configuration-on-large-dataset-1811.03250"/></url>
<url><loc>https://scifaro.com/en/abs/bias-and-generalization-in-deep-generative-models-an-empirical-study-1811.03259</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-and-generalization-in-deep-generative-models-an-empirical-study-1811.03259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-and-generalization-in-deep-generative-models-an-empirical-study-1811.03259"/></url>
<url><loc>https://scifaro.com/en/abs/using-known-information-to-accelerate-hyperparameters-optimization-based-on-smbo-1811.03322</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-known-information-to-accelerate-hyperparameters-optimization-based-on-smbo-1811.03322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-known-information-to-accelerate-hyperparameters-optimization-based-on-smbo-1811.03322"/></url>
<url><loc>https://scifaro.com/en/abs/linear-memory-networks-1811.03356</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-memory-networks-1811.03356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-memory-networks-1811.03356"/></url>
<url><loc>https://scifaro.com/en/abs/activation-functions-comparison-of-trends-in-practice-and-research-for-deep-learning-1811.03378</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/activation-functions-comparison-of-trends-in-practice-and-research-for-deep-learning-1811.03378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/activation-functions-comparison-of-trends-in-practice-and-research-for-deep-learning-1811.03378"/></url>
<url><loc>https://scifaro.com/en/abs/transformative-machine-learning-1811.03392</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformative-machine-learning-1811.03392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformative-machine-learning-1811.03392"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-data-collection-for-machine-learning-a-big-data-ai-integration-perspective-1811.03402</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-data-collection-for-machine-learning-a-big-data-ai-integration-perspective-1811.03402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-data-collection-for-machine-learning-a-big-data-ai-integration-perspective-1811.03402"/></url>
<url><loc>https://scifaro.com/en/abs/exgate-externally-controlled-gating-for-feature-based-attention-in-artificial-neural-networks-1811.03403</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exgate-externally-controlled-gating-for-feature-based-attention-in-artificial-neural-networks-1811.03403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exgate-externally-controlled-gating-for-feature-based-attention-in-artificial-neural-networks-1811.03403"/></url>
<url><loc>https://scifaro.com/en/abs/a-factor-graph-approach-to-automated-design-of-bayesian-signal-processing-algorithms-1811.03407</loc><lastmod>2018-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-factor-graph-approach-to-automated-design-of-bayesian-signal-processing-algorithms-1811.03407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-factor-graph-approach-to-automated-design-of-bayesian-signal-processing-algorithms-1811.03407"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-deep-learning-models-a-bayesian-non-parametric-approach-1811.03422</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-deep-learning-models-a-bayesian-non-parametric-approach-1811.03422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-deep-learning-models-a-bayesian-non-parametric-approach-1811.03422"/></url>
<url><loc>https://scifaro.com/en/abs/alpha-integration-pooling-for-convolutional-neural-networks-1811.03436</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alpha-integration-pooling-for-convolutional-neural-networks-1811.03436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alpha-integration-pooling-for-convolutional-neural-networks-1811.03436"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-latent-factors-of-variational-auto-encoder-with-whitening-1811.03444</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-latent-factors-of-variational-auto-encoder-with-whitening-1811.03444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-latent-factors-of-variational-auto-encoder-with-whitening-1811.03444"/></url>
<url><loc>https://scifaro.com/en/abs/degree-d-chow-parameters-robustly-determine-degree-d-ptfs-and-algorithmic-applications-1811.03491</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/degree-d-chow-parameters-robustly-determine-degree-d-ptfs-and-algorithmic-applications-1811.03491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/degree-d-chow-parameters-robustly-determine-degree-d-ptfs-and-algorithmic-applications-1811.03491"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-yet-effective-baseline-for-non-attributed-graph-classification-1811.03508</loc><lastmod>2022-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-yet-effective-baseline-for-non-attributed-graph-classification-1811.03508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-yet-effective-baseline-for-non-attributed-graph-classification-1811.03508"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-demonstration-in-the-wild-1811.03516</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-demonstration-in-the-wild-1811.03516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-demonstration-in-the-wild-1811.03516"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometric-perspective-on-the-transferability-of-adversarial-directions-1811.03531</loc><lastmod>2018-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometric-perspective-on-the-transferability-of-adversarial-directions-1811.03531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometric-perspective-on-the-transferability-of-adversarial-directions-1811.03531"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-classroom-teaching-1811.03537</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-classroom-teaching-1811.03537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-classroom-teaching-1811.03537"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-traffic-flow-parameters-prediction-with-basic-safety-messages-at-low-penetration-of-connected-vehicles-1811.03562</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-traffic-flow-parameters-prediction-with-basic-safety-messages-at-low-penetration-of-connected-vehicles-1811.03562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-traffic-flow-parameters-prediction-with-basic-safety-messages-at-low-penetration-of-connected-vehicles-1811.03562"/></url>
<url><loc>https://scifaro.com/en/abs/biologically-plausible-learning-algorithms-can-scale-to-large-datasets-1811.03567</loc><lastmod>2018-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biologically-plausible-learning-algorithms-can-scale-to-large-datasets-1811.03567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biologically-plausible-learning-algorithms-can-scale-to-large-datasets-1811.03567"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometric-approach-of-gradient-descent-algorithms-in-linear-neural-networks-1811.03568</loc><lastmod>2023-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometric-approach-of-gradient-descent-algorithms-in-linear-neural-networks-1811.03568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometric-approach-of-gradient-descent-algorithms-in-linear-neural-networks-1811.03568"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-geometric-vulnerability-of-high-dimensional-artificial-intelligence-1811.03571</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-geometric-vulnerability-of-high-dimensional-artificial-intelligence-1811.03571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-geometric-vulnerability-of-high-dimensional-artificial-intelligence-1811.03571"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-the-effects-of-data-parallelism-on-neural-network-training-1811.03600</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-the-effects-of-data-parallelism-on-neural-network-training-1811.03600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-the-effects-of-data-parallelism-on-neural-network-training-1811.03600"/></url>
<url><loc>https://scifaro.com/en/abs/gradiveq-vector-quantization-for-bandwidth-efficient-gradient-aggregation-in-distributed-cnn-training-1811.03617</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradiveq-vector-quantization-for-bandwidth-efficient-gradient-aggregation-in-distributed-cnn-training-1811.03617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradiveq-vector-quantization-for-bandwidth-efficient-gradient-aggregation-in-distributed-cnn-training-1811.03617"/></url>
<url><loc>https://scifaro.com/en/abs/pipe-sgd-a-decentralized-pipelined-sgd-framework-for-distributed-deep-net-training-1811.03619</loc><lastmod>2019-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pipe-sgd-a-decentralized-pipelined-sgd-framework-for-distributed-deep-net-training-1811.03619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pipe-sgd-a-decentralized-pipelined-sgd-framework-for-distributed-deep-net-training-1811.03619"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-characteristics-of-deep-representations-an-empirical-investigation-1811.03666</loc><lastmod>2020-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-characteristics-of-deep-representations-an-empirical-investigation-1811.03666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-characteristics-of-deep-representations-an-empirical-investigation-1811.03666"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-lattice-free-discriminative-training-criteria-for-purely-sequence-trained-neural-network-acoustic-models-1811.03700</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-lattice-free-discriminative-training-criteria-for-purely-sequence-trained-neural-network-acoustic-models-1811.03700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-lattice-free-discriminative-training-criteria-for-purely-sequence-trained-neural-network-acoustic-models-1811.03700"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-deep-sequential-models-on-volatility-predictions-for-financial-time-series-1811.03711</loc><lastmod>2018-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-deep-sequential-models-on-volatility-predictions-for-financial-time-series-1811.03711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-deep-sequential-models-on-volatility-predictions-for-financial-time-series-1811.03711"/></url>
<url><loc>https://scifaro.com/en/abs/fast-determinantal-point-processes-via-distortion-free-intermediate-sampling-1811.03717</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-determinantal-point-processes-via-distortion-free-intermediate-sampling-1811.03717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-determinantal-point-processes-via-distortion-free-intermediate-sampling-1811.03717"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-backdoor-attacks-on-deep-neural-networks-by-activation-clustering-1811.03728</loc><lastmod>2018-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-backdoor-attacks-on-deep-neural-networks-by-activation-clustering-1811.03728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-backdoor-attacks-on-deep-neural-networks-by-activation-clustering-1811.03728"/></url>
<url><loc>https://scifaro.com/en/abs/universal-decision-based-black-box-perturbations-breaking-security-through-obscurity-defenses-1811.03733</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-decision-based-black-box-perturbations-breaking-security-through-obscurity-defenses-1811.03733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-decision-based-black-box-perturbations-breaking-security-through-obscurity-defenses-1811.03733"/></url>
<url><loc>https://scifaro.com/en/abs/securing-behavior-based-opinion-spam-detection-1811.03739</loc><lastmod>2018-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/securing-behavior-based-opinion-spam-detection-1811.03739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/securing-behavior-based-opinion-spam-detection-1811.03739"/></url>
<url><loc>https://scifaro.com/en/abs/density-estimation-for-shift-invariant-multidimensional-distributions-1811.03744</loc><lastmod>2018-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-estimation-for-shift-invariant-multidimensional-distributions-1811.03744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-estimation-for-shift-invariant-multidimensional-distributions-1811.03744"/></url>
<url><loc>https://scifaro.com/en/abs/imagining-an-engineer-on-gan-based-data-augmentation-perpetuating-biases-1811.03751</loc><lastmod>2018-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imagining-an-engineer-on-gan-based-data-augmentation-perpetuating-biases-1811.03751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imagining-an-engineer-on-gan-based-data-augmentation-perpetuating-biases-1811.03751"/></url>
<url><loc>https://scifaro.com/en/abs/ea-lstm-evolutionary-attention-based-lstm-for-time-series-prediction-1811.03760</loc><lastmod>2018-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ea-lstm-evolutionary-attention-based-lstm-for-time-series-prediction-1811.03760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ea-lstm-evolutionary-attention-based-lstm-for-time-series-prediction-1811.03760"/></url>
<url><loc>https://scifaro.com/en/abs/rsa-byzantine-robust-stochastic-aggregation-methods-for-distributed-learning-from-heterogeneous-datasets-1811.03761</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rsa-byzantine-robust-stochastic-aggregation-methods-for-distributed-learning-from-heterogeneous-datasets-1811.03761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rsa-byzantine-robust-stochastic-aggregation-methods-for-distributed-learning-from-heterogeneous-datasets-1811.03761"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-finds-global-minima-of-deep-neural-networks-1811.03804</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-finds-global-minima-of-deep-neural-networks-1811.03804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-finds-global-minima-of-deep-neural-networks-1811.03804"/></url>
<url><loc>https://scifaro.com/en/abs/skeptical-deep-learning-with-distribution-correction-1811.03821</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skeptical-deep-learning-with-distribution-correction-1811.03821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skeptical-deep-learning-with-distribution-correction-1811.03821"/></url>
<url><loc>https://scifaro.com/en/abs/md-gan-multi-discriminator-generative-adversarial-networks-for-distributed-datasets-1811.03850</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/md-gan-multi-discriminator-generative-adversarial-networks-for-distributed-datasets-1811.03850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/md-gan-multi-discriminator-generative-adversarial-networks-for-distributed-datasets-1811.03850"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-policy-learning-based-on-completely-behavior-cloning-1811.03853</loc><lastmod>2018-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-policy-learning-based-on-completely-behavior-cloning-1811.03853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-policy-learning-based-on-completely-behavior-cloning-1811.03853"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-capacity-of-sewer-system-using-unsupervised-learning-algorithms-combined-with-dimensionality-reduction-1811.03883</loc><lastmod>2018-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-capacity-of-sewer-system-using-unsupervised-learning-algorithms-combined-with-dimensionality-reduction-1811.03883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-capacity-of-sewer-system-using-unsupervised-learning-algorithms-combined-with-dimensionality-reduction-1811.03883"/></url>
<url><loc>https://scifaro.com/en/abs/performance-guarantees-for-homomorphisms-beyond-markov-decision-processes-1811.03895</loc><lastmod>2018-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-guarantees-for-homomorphisms-beyond-markov-decision-processes-1811.03895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-guarantees-for-homomorphisms-beyond-markov-decision-processes-1811.03895"/></url>
<url><loc>https://scifaro.com/en/abs/deep-ensemble-bayesian-active-learning-addressing-the-mode-collapse-issue-in-monte-carlo-dropout-via-ensembles-1811.03897</loc><lastmod>2018-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-ensemble-bayesian-active-learning-addressing-the-mode-collapse-issue-in-monte-carlo-dropout-via-ensembles-1811.03897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-ensemble-bayesian-active-learning-addressing-the-mode-collapse-issue-in-monte-carlo-dropout-via-ensembles-1811.03897"/></url>
<url><loc>https://scifaro.com/en/abs/evidence-transfer-for-improving-clustering-tasks-using-external-categorical-evidence-1811.03909</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evidence-transfer-for-improving-clustering-tasks-using-external-categorical-evidence-1811.03909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evidence-transfer-for-improving-clustering-tasks-using-external-categorical-evidence-1811.03909"/></url>
<url><loc>https://scifaro.com/en/abs/a-convergence-theory-for-deep-learning-via-over-parameterization-1811.03962</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convergence-theory-for-deep-learning-via-over-parameterization-1811.03962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convergence-theory-for-deep-learning-via-over-parameterization-1811.03962"/></url>
<url><loc>https://scifaro.com/en/abs/deep-compression-of-sum-product-networks-on-tensor-networks-1811.03963</loc><lastmod>2018-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-compression-of-sum-product-networks-on-tensor-networks-1811.03963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-compression-of-sum-product-networks-on-tensor-networks-1811.03963"/></url>
<url><loc>https://scifaro.com/en/abs/reachability-based-safe-learning-for-optimal-control-problem-1811.04006</loc><lastmod>2018-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reachability-based-safe-learning-for-optimal-control-problem-1811.04006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reachability-based-safe-learning-for-optimal-control-problem-1811.04006"/></url>
<url><loc>https://scifaro.com/en/abs/a-generic-framework-for-privacy-preserving-deep-learning-1811.04017</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generic-framework-for-privacy-preserving-deep-learning-1811.04017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generic-framework-for-privacy-preserving-deep-learning-1811.04017"/></url>
<url><loc>https://scifaro.com/en/abs/automated-multi-label-classification-based-on-ml-plan-1811.04060</loc><lastmod>2018-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-multi-label-classification-based-on-ml-plan-1811.04060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-multi-label-classification-based-on-ml-plan-1811.04060"/></url>
<url><loc>https://scifaro.com/en/abs/block-belief-propagation-for-parameter-learning-in-markov-random-fields-1811.04064</loc><lastmod>2018-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-belief-propagation-for-parameter-learning-in-markov-random-fields-1811.04064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-belief-propagation-for-parameter-learning-in-markov-random-fields-1811.04064"/></url>
<url><loc>https://scifaro.com/en/abs/policy-regret-in-repeated-games-1811.04127</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-regret-in-repeated-games-1811.04127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-regret-in-repeated-games-1811.04127"/></url>
<url><loc>https://scifaro.com/en/abs/reasoning-over-rdf-knowledge-bases-using-deep-learning-1811.04132</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reasoning-over-rdf-knowledge-bases-using-deep-learning-1811.04132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reasoning-over-rdf-knowledge-bases-using-deep-learning-1811.04132"/></url>
<url><loc>https://scifaro.com/en/abs/the-gaussiansketch-for-almost-relative-error-kernel-distance-1811.04136</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-gaussiansketch-for-almost-relative-error-kernel-distance-1811.04136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-gaussiansketch-for-almost-relative-error-kernel-distance-1811.04136"/></url>
<url><loc>https://scifaro.com/en/abs/design-rule-violation-hotspot-prediction-based-on-neural-network-ensembles-1811.04151</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/design-rule-violation-hotspot-prediction-based-on-neural-network-ensembles-1811.04151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/design-rule-violation-hotspot-prediction-based-on-neural-network-ensembles-1811.04151"/></url>
<url><loc>https://scifaro.com/en/abs/towards-formula-translation-using-recursive-neural-networks-1811.04234</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-formula-translation-using-recursive-neural-networks-1811.04234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-formula-translation-using-recursive-neural-networks-1811.04234"/></url>
<url><loc>https://scifaro.com/en/abs/playing-by-the-book-an-interactive-game-approach-for-action-graph-extraction-from-text-1811.04319</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/playing-by-the-book-an-interactive-game-approach-for-action-graph-extraction-from-text-1811.04319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/playing-by-the-book-an-interactive-game-approach-for-action-graph-extraction-from-text-1811.04319"/></url>
<url><loc>https://scifaro.com/en/abs/diversity-driven-extensible-hierarchical-reinforcement-learning-1811.04324</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversity-driven-extensible-hierarchical-reinforcement-learning-1811.04324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversity-driven-extensible-hierarchical-reinforcement-learning-1811.04324"/></url>
<url><loc>https://scifaro.com/en/abs/langevin-gradient-parallel-tempering-for-bayesian-neural-learning-1811.04343</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/langevin-gradient-parallel-tempering-for-bayesian-neural-learning-1811.04343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/langevin-gradient-parallel-tempering-for-bayesian-neural-learning-1811.04343"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-taxi-carpool-policies-via-reinforcement-learning-and-spatio-temporal-mining-1811.04345</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-taxi-carpool-policies-via-reinforcement-learning-and-spatio-temporal-mining-1811.04345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-taxi-carpool-policies-via-reinforcement-learning-and-spatio-temporal-mining-1811.04345"/></url>
<url><loc>https://scifaro.com/en/abs/towards-governing-agent-s-efficacy-action-conditional-beta-vae-for-deep-transparent-reinforcement-learning-1811.04350</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-governing-agent-s-efficacy-action-conditional-beta-vae-for-deep-transparent-reinforcement-learning-1811.04350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-governing-agent-s-efficacy-action-conditional-beta-vae-for-deep-transparent-reinforcement-learning-1811.04350"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-vicinal-risk-minimization-principle-1811.04351</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-vicinal-risk-minimization-principle-1811.04351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-vicinal-risk-minimization-principle-1811.04351"/></url>
<url><loc>https://scifaro.com/en/abs/survey-of-state-of-the-art-mixed-data-clustering-algorithms-1811.04364</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survey-of-state-of-the-art-mixed-data-clustering-algorithms-1811.04364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survey-of-state-of-the-art-mixed-data-clustering-algorithms-1811.04364"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-deep-learning-models-using-causal-inference-1811.04376</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-deep-learning-models-using-causal-inference-1811.04376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-deep-learning-models-using-causal-inference-1811.04376"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-multi-armed-bandits-policies-to-contextual-bandits-scenarios-1811.04383</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-multi-armed-bandits-policies-to-contextual-bandits-scenarios-1811.04383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-multi-armed-bandits-policies-to-contextual-bandits-scenarios-1811.04383"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-induced-convolution-for-graphs-1811.04393</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-induced-convolution-for-graphs-1811.04393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-induced-convolution-for-graphs-1811.04393"/></url>
<url><loc>https://scifaro.com/en/abs/an-initial-attempt-of-combining-visual-selective-attention-with-deep-reinforcement-learning-1811.04407</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-initial-attempt-of-combining-visual-selective-attention-with-deep-reinforcement-learning-1811.04407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-initial-attempt-of-combining-visual-selective-attention-with-deep-reinforcement-learning-1811.04407"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimal-control-view-of-adversarial-machine-learning-1811.04422</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimal-control-view-of-adversarial-machine-learning-1811.04422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimal-control-view-of-adversarial-machine-learning-1811.04422"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-with-abstention-for-automated-liver-disease-diagnosis-1811.04463</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-with-abstention-for-automated-liver-disease-diagnosis-1811.04463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-with-abstention-for-automated-liver-disease-diagnosis-1811.04463"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-pursuit-evasion-problems-1811.04471</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-pursuit-evasion-problems-1811.04471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-pursuit-evasion-problems-1811.04471"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-deep-representation-learning-for-multi-view-problems-1811.04480</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-deep-representation-learning-for-multi-view-problems-1811.04480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-deep-representation-learning-for-multi-view-problems-1811.04480"/></url>
<url><loc>https://scifaro.com/en/abs/slang-fast-structured-covariance-approximations-for-bayesian-deep-learning-with-natural-gradient-1811.04504</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slang-fast-structured-covariance-approximations-for-bayesian-deep-learning-with-natural-gradient-1811.04504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slang-fast-structured-covariance-approximations-for-bayesian-deep-learning-with-natural-gradient-1811.04504"/></url>
<url><loc>https://scifaro.com/en/abs/agent-embeddings-a-latent-representation-for-pole-balancing-networks-1811.04516</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agent-embeddings-a-latent-representation-for-pole-balancing-networks-1811.04516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agent-embeddings-a-latent-representation-for-pole-balancing-networks-1811.04516"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-learning-based-on-line-anomaly-monitoring-for-assured-autonomy-1811.04539</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-learning-based-on-line-anomaly-monitoring-for-assured-autonomy-1811.04539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-learning-based-on-line-anomaly-monitoring-for-assured-autonomy-1811.04539"/></url>
<url><loc>https://scifaro.com/en/abs/recent-research-advances-on-interactive-machine-learning-1811.04548</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recent-research-advances-on-interactive-machine-learning-1811.04548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recent-research-advances-on-interactive-machine-learning-1811.04548"/></url>
<url><loc>https://scifaro.com/en/abs/learning-latent-dynamics-for-planning-from-pixels-1811.04551</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-latent-dynamics-for-planning-from-pixels-1811.04551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-latent-dynamics-for-planning-from-pixels-1811.04551"/></url>
<url><loc>https://scifaro.com/en/abs/detection-of-rem-sleep-behaviour-disorder-by-automated-polysomnography-analysis-1811.04662</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-of-rem-sleep-behaviour-disorder-by-automated-polysomnography-analysis-1811.04662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-of-rem-sleep-behaviour-disorder-by-automated-polysomnography-analysis-1811.04662"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-learning-of-label-dependency-a-novel-framework-for-multi-class-classification-1811.04689</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-learning-of-label-dependency-a-novel-framework-for-multi-class-classification-1811.04689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-learning-of-label-dependency-a-novel-framework-for-multi-class-classification-1811.04689"/></url>
<url><loc>https://scifaro.com/en/abs/gauges-loops-and-polynomials-for-partition-functions-of-graphical-models-1811.04713</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gauges-loops-and-polynomials-for-partition-functions-of-graphical-models-1811.04713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gauges-loops-and-polynomials-for-partition-functions-of-graphical-models-1811.04713"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-transportation-network-speed-using-deep-capsule-networks-with-nested-lstm-models-1811.04745</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-transportation-network-speed-using-deep-capsule-networks-with-nested-lstm-models-1811.04745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-transportation-network-speed-using-deep-capsule-networks-with-nested-lstm-models-1811.04745"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-autoencoder-1811.04751</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-autoencoder-1811.04751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-autoencoder-1811.04751"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-of-missing-data-for-predicting-patient-outcomes-1811.04752</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-of-missing-data-for-predicting-patient-outcomes-1811.04752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-of-missing-data-for-predicting-patient-outcomes-1811.04752"/></url>
<url><loc>https://scifaro.com/en/abs/markov-property-in-generative-classifiers-1811.04759</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-property-in-generative-classifiers-1811.04759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-property-in-generative-classifiers-1811.04759"/></url>
<url><loc>https://scifaro.com/en/abs/learning-data-augmentation-policies-using-augmented-random-search-1811.04768</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-data-augmentation-policies-using-augmented-random-search-1811.04768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-data-augmentation-policies-using-augmented-random-search-1811.04768"/></url>
<url><loc>https://scifaro.com/en/abs/packing-sparse-convolutional-neural-networks-for-efficient-systolic-array-implementations-column-combining-under-joint-optimization-1811.04770</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/packing-sparse-convolutional-neural-networks-for-efficient-systolic-array-implementations-column-combining-under-joint-optimization-1811.04770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/packing-sparse-convolutional-neural-networks-for-efficient-systolic-array-implementations-column-combining-under-joint-optimization-1811.04770"/></url>
<url><loc>https://scifaro.com/en/abs/improving-generalization-for-abstract-reasoning-tasks-using-disentangled-feature-representations-1811.04784</loc><lastmod>2018-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-generalization-for-abstract-reasoning-tasks-using-disentangled-feature-representations-1811.04784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-generalization-for-abstract-reasoning-tasks-using-disentangled-feature-representations-1811.04784"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-perspective-of-statistical-machine-learning-for-big-data-1811.04788</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-perspective-of-statistical-machine-learning-for-big-data-1811.04788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-perspective-of-statistical-machine-learning-for-big-data-1811.04788"/></url>
<url><loc>https://scifaro.com/en/abs/observability-properties-of-colored-graphs-1811.04803</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/observability-properties-of-colored-graphs-1811.04803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/observability-properties-of-colored-graphs-1811.04803"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-positive-and-unlabeled-data-a-survey-1811.04820</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-positive-and-unlabeled-data-a-survey-1811.04820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-positive-and-unlabeled-data-a-survey-1811.04820"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-machine-learning-process-a-maturity-framework-1811.04871</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-machine-learning-process-a-maturity-framework-1811.04871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-machine-learning-process-a-maturity-framework-1811.04871"/></url>
<url><loc>https://scifaro.com/en/abs/when-do-words-matter-understanding-the-impact-of-lexical-choice-on-audience-perception-using-individual-treatment-effect-estimation-1811.04890</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-do-words-matter-understanding-the-impact-of-lexical-choice-on-audience-perception-using-individual-treatment-effect-estimation-1811.04890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-do-words-matter-understanding-the-impact-of-lexical-choice-on-audience-perception-using-individual-treatment-effect-estimation-1811.04890"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-model-performance-through-differentially-private-model-aggregation-1811.04911</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-model-performance-through-differentially-private-model-aggregation-1811.04911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-model-performance-through-differentially-private-model-aggregation-1811.04911"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-generalization-in-overparameterized-neural-networks-going-beyond-two-layers-1811.04918</loc><lastmod>2020-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-generalization-in-overparameterized-neural-networks-going-beyond-two-layers-1811.04918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-generalization-in-overparameterized-neural-networks-going-beyond-two-layers-1811.04918"/></url>
<url><loc>https://scifaro.com/en/abs/eliminating-latent-discrimination-train-then-mask-1811.04973</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eliminating-latent-discrimination-train-then-mask-1811.04973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eliminating-latent-discrimination-train-then-mask-1811.04973"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-ternary-connect-end-to-end-learning-and-compression-of-multiplication-free-deep-neural-networks-1811.04985</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-ternary-connect-end-to-end-learning-and-compression-of-multiplication-free-deep-neural-networks-1811.04985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-ternary-connect-end-to-end-learning-and-compression-of-multiplication-free-deep-neural-networks-1811.04985"/></url>
<url><loc>https://scifaro.com/en/abs/coordinating-disaster-emergency-response-with-heuristic-reinforcement-learning-1811.05010</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coordinating-disaster-emergency-response-with-heuristic-reinforcement-learning-1811.05010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coordinating-disaster-emergency-response-with-heuristic-reinforcement-learning-1811.05010"/></url>
<url><loc>https://scifaro.com/en/abs/learning-temporal-point-processes-via-reinforcement-learning-1811.05016</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-temporal-point-processes-via-reinforcement-learning-1811.05016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-temporal-point-processes-via-reinforcement-learning-1811.05016"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-local-feature-patterns-for-unsupervised-domain-adaptation-1811.05042</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-local-feature-patterns-for-unsupervised-domain-adaptation-1811.05042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-local-feature-patterns-for-unsupervised-domain-adaptation-1811.05042"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-feature-scaling-for-k-nearest-neighbor-algorithm-1811.05062</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-feature-scaling-for-k-nearest-neighbor-algorithm-1811.05062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-feature-scaling-for-k-nearest-neighbor-algorithm-1811.05062"/></url>
<url><loc>https://scifaro.com/en/abs/private-model-compression-via-knowledge-distillation-1811.05072</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-model-compression-via-knowledge-distillation-1811.05072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-model-compression-via-knowledge-distillation-1811.05072"/></url>
<url><loc>https://scifaro.com/en/abs/a-local-regret-in-nonconvex-online-learning-1811.05095</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-local-regret-in-nonconvex-online-learning-1811.05095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-local-regret-in-nonconvex-online-learning-1811.05095"/></url>
<url><loc>https://scifaro.com/en/abs/neuroimaging-modality-fusion-in-alzheimer-s-classification-using-convolutional-neural-networks-1811.05105</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuroimaging-modality-fusion-in-alzheimer-s-classification-using-convolutional-neural-networks-1811.05105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuroimaging-modality-fusion-in-alzheimer-s-classification-using-convolutional-neural-networks-1811.05105"/></url>
<url><loc>https://scifaro.com/en/abs/community-exploration-from-offline-optimization-to-online-learning-1811.05134</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/community-exploration-from-offline-optimization-to-online-learning-1811.05134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/community-exploration-from-offline-optimization-to-online-learning-1811.05134"/></url>
<url><loc>https://scifaro.com/en/abs/co-representation-learning-for-classification-and-novel-class-detection-via-deep-networks-1811.05141</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-representation-learning-for-classification-and-novel-class-detection-via-deep-networks-1811.05141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-representation-learning-for-classification-and-novel-class-detection-via-deep-networks-1811.05141"/></url>
<url><loc>https://scifaro.com/en/abs/garbage-in-reward-out-bootstrapping-exploration-in-multi-armed-bandits-1811.05154</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/garbage-in-reward-out-bootstrapping-exploration-in-multi-armed-bandits-1811.05154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/garbage-in-reward-out-bootstrapping-exploration-in-multi-armed-bandits-1811.05154"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-multi-graph-neural-networks-for-travel-cost-prediction-1811.05157</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-multi-graph-neural-networks-for-travel-cost-prediction-1811.05157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-multi-graph-neural-networks-for-travel-cost-prediction-1811.05157"/></url>
<url><loc>https://scifaro.com/en/abs/an-orchestrated-empirical-study-on-deep-learning-frameworks-and-platforms-1811.05187</loc><lastmod>2018-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-orchestrated-empirical-study-on-deep-learning-frameworks-and-platforms-1811.05187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-orchestrated-empirical-study-on-deep-learning-frameworks-and-platforms-1811.05187"/></url>
<url><loc>https://scifaro.com/en/abs/massively-distributed-sgd-imagenet-resnet-50-training-in-a-flash-1811.05233</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/massively-distributed-sgd-imagenet-resnet-50-training-in-a-flash-1811.05233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/massively-distributed-sgd-imagenet-resnet-50-training-in-a-flash-1811.05233"/></url>
<url><loc>https://scifaro.com/en/abs/modular-networks-learning-to-decompose-neural-computation-1811.05249</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modular-networks-learning-to-decompose-neural-computation-1811.05249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modular-networks-learning-to-decompose-neural-computation-1811.05249"/></url>
<url><loc>https://scifaro.com/en/abs/how-secure-are-deep-learning-algorithms-from-side-channel-based-reverse-engineering-1811.05259</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-secure-are-deep-learning-algorithms-from-side-channel-based-reverse-engineering-1811.05259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-secure-are-deep-learning-algorithms-from-side-channel-based-reverse-engineering-1811.05259"/></url>
<url><loc>https://scifaro.com/en/abs/a-conjugate-prior-for-the-dirichlet-distribution-1811.05266</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-conjugate-prior-for-the-dirichlet-distribution-1811.05266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-conjugate-prior-for-the-dirichlet-distribution-1811.05266"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-using-autoencoders-in-high-performance-computing-systems-1811.05269</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-using-autoencoders-in-high-performance-computing-systems-1811.05269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-using-autoencoders-in-high-performance-computing-systems-1811.05269"/></url>
<url><loc>https://scifaro.com/en/abs/t-gcn-a-temporal-graph-convolutionalnetwork-for-traffic-prediction-1811.05320</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/t-gcn-a-temporal-graph-convolutionalnetwork-for-traffic-prediction-1811.05320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/t-gcn-a-temporal-graph-convolutionalnetwork-for-traffic-prediction-1811.05320"/></url>
<url><loc>https://scifaro.com/en/abs/correction-of-ai-systems-by-linear-discriminants-probabilistic-foundations-1811.05321</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correction-of-ai-systems-by-linear-discriminants-probabilistic-foundations-1811.05321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correction-of-ai-systems-by-linear-discriminants-probabilistic-foundations-1811.05321"/></url>
<url><loc>https://scifaro.com/en/abs/iteratively-training-look-up-tables-for-network-quantization-1811.05355</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iteratively-training-look-up-tables-for-network-quantization-1811.05355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iteratively-training-look-up-tables-for-network-quantization-1811.05355"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-datasets-for-anomaly-based-network-intrusion-detection-kdd-cup-99-alternatives-1811.05372</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-datasets-for-anomaly-based-network-intrusion-detection-kdd-cup-99-alternatives-1811.05372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-datasets-for-anomaly-based-network-intrusion-detection-kdd-cup-99-alternatives-1811.05372"/></url>
<url><loc>https://scifaro.com/en/abs/sorting-out-lipschitz-function-approximation-1811.05381</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sorting-out-lipschitz-function-approximation-1811.05381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sorting-out-lipschitz-function-approximation-1811.05381"/></url>
<url><loc>https://scifaro.com/en/abs/co-regularized-alignment-for-unsupervised-domain-adaptation-1811.05443</loc><lastmod>2018-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-regularized-alignment-for-unsupervised-domain-adaptation-1811.05443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-regularized-alignment-for-unsupervised-domain-adaptation-1811.05443"/></url>
<url><loc>https://scifaro.com/en/abs/a-domain-agnostic-measure-for-monitoring-and-evaluating-gans-1811.05512</loc><lastmod>2020-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-domain-agnostic-measure-for-monitoring-and-evaluating-gans-1811.05512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-domain-agnostic-measure-for-monitoring-and-evaluating-gans-1811.05512"/></url>
<url><loc>https://scifaro.com/en/abs/deep-q-learning-for-fooling-neural-networks-1811.05521</loc><lastmod>2018-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-q-learning-for-fooling-neural-networks-1811.05521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-q-learning-for-fooling-neural-networks-1811.05521"/></url>
<url><loc>https://scifaro.com/en/abs/semi-dual-regularized-optimal-transport-1811.05527</loc><lastmod>2018-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-dual-regularized-optimal-transport-1811.05527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-dual-regularized-optimal-transport-1811.05527"/></url>
<url><loc>https://scifaro.com/en/abs/aequitas-a-bias-and-fairness-audit-toolkit-1811.05577</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aequitas-a-bias-and-fairness-audit-toolkit-1811.05577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aequitas-a-bias-and-fairness-audit-toolkit-1811.05577"/></url>
<url><loc>https://scifaro.com/en/abs/emergence-of-addictive-behaviors-in-reinforcement-learning-agents-1811.05590</loc><lastmod>2018-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emergence-of-addictive-behaviors-in-reinforcement-learning-agents-1811.05590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emergence-of-addictive-behaviors-in-reinforcement-learning-agents-1811.05590"/></url>
<url><loc>https://scifaro.com/en/abs/sepne-bringing-separability-to-network-embedding-1811.05614</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sepne-bringing-separability-to-network-embedding-1811.05614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sepne-bringing-separability-to-network-embedding-1811.05614"/></url>
<url><loc>https://scifaro.com/en/abs/dropping-symmetry-for-fast-symmetric-nonnegative-matrix-factorization-1811.05642</loc><lastmod>2018-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropping-symmetry-for-fast-symmetric-nonnegative-matrix-factorization-1811.05642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropping-symmetry-for-fast-symmetric-nonnegative-matrix-factorization-1811.05642"/></url>
<url><loc>https://scifaro.com/en/abs/sample-complexity-of-partition-identification-using-multi-armed-bandits-1811.05654</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-complexity-of-partition-identification-using-multi-armed-bandits-1811.05654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-complexity-of-partition-identification-using-multi-armed-bandits-1811.05654"/></url>
<url><loc>https://scifaro.com/en/abs/mt-cgcnn-integrating-crystal-graph-convolutional-neural-network-with-multitask-learning-for-material-property-prediction-1811.05660</loc><lastmod>2018-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mt-cgcnn-integrating-crystal-graph-convolutional-neural-network-with-multitask-learning-for-material-property-prediction-1811.05660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mt-cgcnn-integrating-crystal-graph-convolutional-neural-network-with-multitask-learning-for-material-property-prediction-1811.05660"/></url>
<url><loc>https://scifaro.com/en/abs/melodic-phrase-segmentation-by-deep-neural-networks-1811.05688</loc><lastmod>2018-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/melodic-phrase-segmentation-by-deep-neural-networks-1811.05688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/melodic-phrase-segmentation-by-deep-neural-networks-1811.05688"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-and-scalable-multi-task-regression-on-massive-number-of-tasks-1811.05695</loc><lastmod>2018-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-and-scalable-multi-task-regression-on-massive-number-of-tasks-1811.05695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-and-scalable-multi-task-regression-on-massive-number-of-tasks-1811.05695"/></url>
<url><loc>https://scifaro.com/en/abs/two-stream-convolutional-networks-for-end-to-end-learning-of-self-driving-cars-1811.05785</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-stream-convolutional-networks-for-end-to-end-learning-of-self-driving-cars-1811.05785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-stream-convolutional-networks-for-end-to-end-learning-of-self-driving-cars-1811.05785"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-compensate-photovoltaic-power-fluctuations-from-images-of-the-sky-by-imitating-an-optimal-policy-1811.05788</loc><lastmod>2018-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-compensate-photovoltaic-power-fluctuations-from-images-of-the-sky-by-imitating-an-optimal-policy-1811.05788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-compensate-photovoltaic-power-fluctuations-from-images-of-the-sky-by-imitating-an-optimal-policy-1811.05788"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-projection-free-optimization-for-strongly-convex-constraint-sets-1811.05831</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-projection-free-optimization-for-strongly-convex-constraint-sets-1811.05831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-projection-free-optimization-for-strongly-convex-constraint-sets-1811.05831"/></url>
<url><loc>https://scifaro.com/en/abs/a-learning-based-framework-for-line-spectra-super-resolution-1811.05844</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-learning-based-framework-for-line-spectra-super-resolution-1811.05844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-learning-based-framework-for-line-spectra-super-resolution-1811.05844"/></url>
<url><loc>https://scifaro.com/en/abs/drop-activation-implicit-parameter-reduction-and-harmonic-regularization-1811.05850</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drop-activation-implicit-parameter-reduction-and-harmonic-regularization-1811.05850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drop-activation-implicit-parameter-reduction-and-harmonic-regularization-1811.05850"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-time-evolution-of-multi-physics-systems-with-sequence-to-sequence-models-1811.05852</loc><lastmod>2018-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-time-evolution-of-multi-physics-systems-with-sequence-to-sequence-models-1811.05852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-time-evolution-of-multi-physics-systems-with-sequence-to-sequence-models-1811.05852"/></url>
<url><loc>https://scifaro.com/en/abs/pitfalls-of-graph-neural-network-evaluation-1811.05868</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pitfalls-of-graph-neural-network-evaluation-1811.05868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pitfalls-of-graph-neural-network-evaluation-1811.05868"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-interactive-recommendation-with-tree-structured-policy-gradient-1811.05869</loc><lastmod>2018-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-interactive-recommendation-with-tree-structured-policy-gradient-1811.05869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-interactive-recommendation-with-tree-structured-policy-gradient-1811.05869"/></url>
<url><loc>https://scifaro.com/en/abs/bandana-using-non-volatile-memory-for-storing-deep-learning-models-1811.05922</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandana-using-non-volatile-memory-for-storing-deep-learning-models-1811.05922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandana-using-non-volatile-memory-for-storing-deep-learning-models-1811.05922"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-network-embedding-through-local-actions-1811.05932</loc><lastmod>2018-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-network-embedding-through-local-actions-1811.05932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-network-embedding-through-local-actions-1811.05932"/></url>
<url><loc>https://scifaro.com/en/abs/composing-modeling-and-inference-operations-with-probabilistic-program-combinators-1811.05965</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composing-modeling-and-inference-operations-with-probabilistic-program-combinators-1811.05965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composing-modeling-and-inference-operations-with-probabilistic-program-combinators-1811.05965"/></url>
<url><loc>https://scifaro.com/en/abs/catch-and-prolong-recurrent-neural-network-for-seeking-track-candidates-1811.06002</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/catch-and-prolong-recurrent-neural-network-for-seeking-track-candidates-1811.06002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/catch-and-prolong-recurrent-neural-network-for-seeking-track-candidates-1811.06002"/></url>
<url><loc>https://scifaro.com/en/abs/performance-estimation-of-synthesis-flows-cross-technologies-using-lstms-and-transfer-learning-1811.06017</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-estimation-of-synthesis-flows-cross-technologies-using-lstms-and-transfer-learning-1811.06017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-estimation-of-synthesis-flows-cross-technologies-using-lstms-and-transfer-learning-1811.06017"/></url>
<url><loc>https://scifaro.com/en/abs/verification-of-recurrent-neural-networks-through-rule-extraction-1811.06029</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/verification-of-recurrent-neural-networks-through-rule-extraction-1811.06029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/verification-of-recurrent-neural-networks-through-rule-extraction-1811.06029"/></url>
<url><loc>https://scifaro.com/en/abs/natural-environment-benchmarks-for-reinforcement-learning-1811.06032</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-environment-benchmarks-for-reinforcement-learning-1811.06032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-environment-benchmarks-for-reinforcement-learning-1811.06032"/></url>
<url><loc>https://scifaro.com/en/abs/human-like-machine-learning-limitations-and-suggestions-1811.06052</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-like-machine-learning-limitations-and-suggestions-1811.06052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-like-machine-learning-limitations-and-suggestions-1811.06052"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-deep-learning-for-guided-structure-property-explorations-in-photovoltaics-1811.06067</loc><lastmod>2022-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-deep-learning-for-guided-structure-property-explorations-in-photovoltaics-1811.06067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-deep-learning-for-guided-structure-property-explorations-in-photovoltaics-1811.06067"/></url>
<url><loc>https://scifaro.com/en/abs/constraint-based-sequential-pattern-mining-with-decision-diagrams-1811.06086</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constraint-based-sequential-pattern-mining-with-decision-diagrams-1811.06086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constraint-based-sequential-pattern-mining-with-decision-diagrams-1811.06086"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-based-modrec-some-results-with-inter-symbol-interference-and-adversarial-examples-1811.06103</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-based-modrec-some-results-with-inter-symbol-interference-and-adversarial-examples-1811.06103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-based-modrec-some-results-with-inter-symbol-interference-and-adversarial-examples-1811.06103"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-modeling-with-delayed-information-a-case-study-in-e-commerce-transaction-fraud-control-1811.06109</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-modeling-with-delayed-information-a-case-study-in-e-commerce-transaction-fraud-control-1811.06109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-modeling-with-delayed-information-a-case-study-in-e-commerce-transaction-fraud-control-1811.06109"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-combinatorial-optimization-a-methodological-tour-d-horizon-1811.06128</loc><lastmod>2020-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-combinatorial-optimization-a-methodological-tour-d-horizon-1811.06128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-combinatorial-optimization-a-methodological-tour-d-horizon-1811.06128"/></url>
<url><loc>https://scifaro.com/en/abs/concept-learning-through-deep-reinforcement-learning-with-memory-augmented-neural-networks-1811.06145</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-learning-through-deep-reinforcement-learning-with-memory-augmented-neural-networks-1811.06145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-learning-through-deep-reinforcement-learning-with-memory-augmented-neural-networks-1811.06145"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-power-system-state-estimation-and-forecasting-via-deep-neural-networks-1811.06146</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-power-system-state-estimation-and-forecasting-via-deep-neural-networks-1811.06146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-power-system-state-estimation-and-forecasting-via-deep-neural-networks-1811.06146"/></url>
<url><loc>https://scifaro.com/en/abs/on-deep-domain-adaptation-some-theoretical-understandings-1811.06199</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-deep-domain-adaptation-some-theoretical-understandings-1811.06199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-deep-domain-adaptation-some-theoretical-understandings-1811.06199"/></url>
<url><loc>https://scifaro.com/en/abs/reward-estimation-variance-elimination-in-sequential-decision-processes-1811.06225</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reward-estimation-variance-elimination-in-sequential-decision-processes-1811.06225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reward-estimation-variance-elimination-in-sequential-decision-processes-1811.06225"/></url>
<url><loc>https://scifaro.com/en/abs/woulda-coulda-shoulda-counterfactually-guided-policy-search-1811.06272</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/woulda-coulda-shoulda-counterfactually-guided-policy-search-1811.06272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/woulda-coulda-shoulda-counterfactually-guided-policy-search-1811.06272"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-stacked-lstm-for-temperature-prediction-in-weather-forecasting-1811.06341</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-stacked-lstm-for-temperature-prediction-in-weather-forecasting-1811.06341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-stacked-lstm-for-temperature-prediction-in-weather-forecasting-1811.06341"/></url>
<url><loc>https://scifaro.com/en/abs/physical-signal-classification-via-deep-neural-networks-1811.06349</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physical-signal-classification-via-deep-neural-networks-1811.06349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physical-signal-classification-via-deep-neural-networks-1811.06349"/></url>
<url><loc>https://scifaro.com/en/abs/neural-predictive-belief-representations-1811.06407</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-predictive-belief-representations-1811.06407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-predictive-belief-representations-1811.06407"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-from-cryptographic-pseudo-random-generators-1811.06418</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-from-cryptographic-pseudo-random-generators-1811.06418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-from-cryptographic-pseudo-random-generators-1811.06418"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-care-protocol-using-neural-networks-and-decision-trees-1811.06437</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-care-protocol-using-neural-networks-and-decision-trees-1811.06437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-care-protocol-using-neural-networks-and-decision-trees-1811.06437"/></url>
<url><loc>https://scifaro.com/en/abs/towards-explainable-deep-learning-for-credit-lending-a-case-study-1811.06471</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-explainable-deep-learning-for-credit-lending-a-case-study-1811.06471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-explainable-deep-learning-for-credit-lending-a-case-study-1811.06471"/></url>
<url><loc>https://scifaro.com/en/abs/mathematical-analysis-of-adversarial-attacks-1811.06492</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mathematical-analysis-of-adversarial-attacks-1811.06492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mathematical-analysis-of-adversarial-attacks-1811.06492"/></url>
<url><loc>https://scifaro.com/en/abs/tight-bayesian-ambiguity-sets-for-robust-mdps-1811.06512</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-bayesian-ambiguity-sets-for-robust-mdps-1811.06512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-bayesian-ambiguity-sets-for-robust-mdps-1811.06512"/></url>
<url><loc>https://scifaro.com/en/abs/reward-learning-from-human-preferences-and-demonstrations-in-atari-1811.06521</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reward-learning-from-human-preferences-and-demonstrations-in-atari-1811.06521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reward-learning-from-human-preferences-and-demonstrations-in-atari-1811.06521"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-class-learnability-in-noisy-data-1811.06524</loc><lastmod>2018-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-class-learnability-in-noisy-data-1811.06524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-class-learnability-in-noisy-data-1811.06524"/></url>
<url><loc>https://scifaro.com/en/abs/stable-tensor-neural-networks-for-rapid-deep-learning-1811.06569</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-tensor-neural-networks-for-rapid-deep-learning-1811.06569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-tensor-neural-networks-for-rapid-deep-learning-1811.06569"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-horizon-gaussian-processes-1811.06588</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-horizon-gaussian-processes-1811.06588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-horizon-gaussian-processes-1811.06588"/></url>
<url><loc>https://scifaro.com/en/abs/a-spectral-view-of-adversarially-robust-features-1811.06609</loc><lastmod>2024-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spectral-view-of-adversarially-robust-features-1811.06609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spectral-view-of-adversarially-robust-features-1811.06609"/></url>
<url><loc>https://scifaro.com/en/abs/concept-oriented-deep-learning-generative-concept-representations-1811.06622</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-oriented-deep-learning-generative-concept-representations-1811.06622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-oriented-deep-learning-generative-concept-representations-1811.06622"/></url>
<url><loc>https://scifaro.com/en/abs/the-utility-of-sparse-representations-for-control-in-reinforcement-learning-1811.06626</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-utility-of-sparse-representations-for-control-in-reinforcement-learning-1811.06626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-utility-of-sparse-representations-for-control-in-reinforcement-learning-1811.06626"/></url>
<url><loc>https://scifaro.com/en/abs/context-dependent-upper-confidence-bounds-for-directed-exploration-1811.06629</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-dependent-upper-confidence-bounds-for-directed-exploration-1811.06629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-dependent-upper-confidence-bounds-for-directed-exploration-1811.06629"/></url>
<url><loc>https://scifaro.com/en/abs/mean-square-prediction-error-of-misspecified-gaussian-process-models-1811.06642</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-square-prediction-error-of-misspecified-gaussian-process-models-1811.06642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-square-prediction-error-of-misspecified-gaussian-process-models-1811.06642"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-temporal-multi-task-learning-for-within-field-cotton-yield-prediction-1811.06665</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-temporal-multi-task-learning-for-within-field-cotton-yield-prediction-1811.06665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-temporal-multi-task-learning-for-within-field-cotton-yield-prediction-1811.06665"/></url>
<url><loc>https://scifaro.com/en/abs/composite-binary-decomposition-networks-1811.06668</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composite-binary-decomposition-networks-1811.06668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composite-binary-decomposition-networks-1811.06668"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-irregular-patterns-in-iot-streaming-data-for-fall-detection-1811.06672</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-irregular-patterns-in-iot-streaming-data-for-fall-detection-1811.06672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-irregular-patterns-in-iot-streaming-data-for-fall-detection-1811.06672"/></url>
<url><loc>https://scifaro.com/en/abs/subtask-gated-networks-for-non-intrusive-load-monitoring-1811.06692</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subtask-gated-networks-for-non-intrusive-load-monitoring-1811.06692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subtask-gated-networks-for-non-intrusive-load-monitoring-1811.06692"/></url>
<url><loc>https://scifaro.com/en/abs/nn-dependability-kit-engineering-neural-networks-for-safety-critical-autonomous-driving-systems-1811.06746</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nn-dependability-kit-engineering-neural-networks-for-safety-critical-autonomous-driving-systems-1811.06746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nn-dependability-kit-engineering-neural-networks-for-safety-critical-autonomous-driving-systems-1811.06746"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-adaptive-neural-architecture-search-for-keyword-spotting-1811.06753</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-adaptive-neural-architecture-search-for-keyword-spotting-1811.06753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-adaptive-neural-architecture-search-for-keyword-spotting-1811.06753"/></url>
<url><loc>https://scifaro.com/en/abs/entropy-regularized-optimal-transport-generative-models-1811.06763</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropy-regularized-optimal-transport-generative-models-1811.06763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropy-regularized-optimal-transport-generative-models-1811.06763"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-approach-to-sparse-inverse-covariance-estimation-using-transform-domain-updates-and-exponentially-adaptive-thresholding-1811.06773</loc><lastmod>2019-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-approach-to-sparse-inverse-covariance-estimation-using-transform-domain-updates-and-exponentially-adaptive-thresholding-1811.06773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-approach-to-sparse-inverse-covariance-estimation-using-transform-domain-updates-and-exponentially-adaptive-thresholding-1811.06773"/></url>
<url><loc>https://scifaro.com/en/abs/dropfilter-a-novel-regularization-method-for-learning-convolutional-neural-networks-1811.06783</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropfilter-a-novel-regularization-method-for-learning-convolutional-neural-networks-1811.06783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropfilter-a-novel-regularization-method-for-learning-convolutional-neural-networks-1811.06783"/></url>
<url><loc>https://scifaro.com/en/abs/paccmann-prediction-of-anticancer-compound-sensitivity-with-multi-modal-attention-based-neural-networks-1811.06802</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/paccmann-prediction-of-anticancer-compound-sensitivity-with-multi-modal-attention-based-neural-networks-1811.06802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/paccmann-prediction-of-anticancer-compound-sensitivity-with-multi-modal-attention-based-neural-networks-1811.06802"/></url>
<url><loc>https://scifaro.com/en/abs/using-recurrences-in-time-and-frequency-within-u-net-architecture-for-speech-enhancement-1811.06805</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-recurrences-in-time-and-frequency-within-u-net-architecture-for-speech-enhancement-1811.06805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-recurrences-in-time-and-frequency-within-u-net-architecture-for-speech-enhancement-1811.06805"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-uncertainty-quantification-in-end-to-end-autonomous-driving-control-1811.06817</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-uncertainty-quantification-in-end-to-end-autonomous-driving-control-1811.06817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-uncertainty-quantification-in-end-to-end-autonomous-driving-control-1811.06817"/></url>
<url><loc>https://scifaro.com/en/abs/a-grammar-based-structural-cnn-decoder-for-code-generation-1811.06837</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-grammar-based-structural-cnn-decoder-for-code-generation-1811.06837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-grammar-based-structural-cnn-decoder-for-code-generation-1811.06837"/></url>
<url><loc>https://scifaro.com/en/abs/tetris-re-architecting-convolutional-neural-network-computation-for-machine-learning-accelerators-1811.06841</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tetris-re-architecting-convolutional-neural-network-computation-for-machine-learning-accelerators-1811.06841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tetris-re-architecting-convolutional-neural-network-computation-for-machine-learning-accelerators-1811.06841"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-unsupervised-representation-learning-for-activity-time-series-1811.06847</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-unsupervised-representation-learning-for-activity-time-series-1811.06847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-unsupervised-representation-learning-for-activity-time-series-1811.06847"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-meta-loss-function-for-regression-and-classification-using-privileged-information-1811.06885</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-meta-loss-function-for-regression-and-classification-using-privileged-information-1811.06885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-meta-loss-function-for-regression-and-classification-using-privileged-information-1811.06885"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-complexity-of-exploration-in-goal-driven-navigation-1811.06889</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-complexity-of-exploration-in-goal-driven-navigation-1811.06889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-complexity-of-exploration-in-goal-driven-navigation-1811.06889"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-student-check-in-behavior-for-improved-point-of-interest-prediction-1811.06912</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-student-check-in-behavior-for-improved-point-of-interest-prediction-1811.06912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-student-check-in-behavior-for-improved-point-of-interest-prediction-1811.06912"/></url>
<url><loc>https://scifaro.com/en/abs/pre-training-graph-neural-networks-with-kernels-1811.06930</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pre-training-graph-neural-networks-with-kernels-1811.06930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pre-training-graph-neural-networks-with-kernels-1811.06930"/></url>
<url><loc>https://scifaro.com/en/abs/exact-recovery-in-the-hypergraph-stochastic-block-model-a-spectral-algorithm-1811.06931</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-recovery-in-the-hypergraph-stochastic-block-model-a-spectral-algorithm-1811.06931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-recovery-in-the-hypergraph-stochastic-block-model-a-spectral-algorithm-1811.06931"/></url>
<url><loc>https://scifaro.com/en/abs/darccc-detecting-adversaries-by-reconstruction-from-class-conditional-capsules-1811.06969</loc><lastmod>2018-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/darccc-detecting-adversaries-by-reconstruction-from-class-conditional-capsules-1811.06969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/darccc-detecting-adversaries-by-reconstruction-from-class-conditional-capsules-1811.06969"/></url>
<url><loc>https://scifaro.com/en/abs/image-classification-at-supercomputer-scale-1811.06992</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/image-classification-at-supercomputer-scale-1811.06992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/image-classification-at-supercomputer-scale-1811.06992"/></url>
<url><loc>https://scifaro.com/en/abs/projected-bnns-avoiding-weight-space-pathologies-by-learning-latent-representations-of-neural-network-weights-1811.07006</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projected-bnns-avoiding-weight-space-pathologies-by-learning-latent-representations-of-neural-network-weights-1811.07006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projected-bnns-avoiding-weight-space-pathologies-by-learning-latent-representations-of-neural-network-weights-1811.07006"/></url>
<url><loc>https://scifaro.com/en/abs/towards-training-recurrent-neural-networks-for-lifelong-learning-1811.07017</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-training-recurrent-neural-networks-for-lifelong-learning-1811.07017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-training-recurrent-neural-networks-for-lifelong-learning-1811.07017"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-the-dynamic-joint-policy-of-teammates-with-attention-multi-agent-ddpg-1811.07029</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-the-dynamic-joint-policy-of-teammates-with-attention-multi-agent-ddpg-1811.07029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-the-dynamic-joint-policy-of-teammates-with-attention-multi-agent-ddpg-1811.07029"/></url>
<url><loc>https://scifaro.com/en/abs/the-full-spectrum-of-deepnet-hessians-at-scale-dynamics-with-sgd-training-and-sample-size-1811.07062</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-full-spectrum-of-deepnet-hessians-at-scale-dynamics-with-sgd-training-and-sample-size-1811.07062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-full-spectrum-of-deepnet-hessians-at-scale-dynamics-with-sgd-training-and-sample-size-1811.07062"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-the-robustness-verification-of-dnn-by-identifying-the-achilles-s-heel-1811.07108</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-the-robustness-verification-of-dnn-by-identifying-the-achilles-s-heel-1811.07108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-the-robustness-verification-of-dnn-by-identifying-the-achilles-s-heel-1811.07108"/></url>
<url><loc>https://scifaro.com/en/abs/deep-discriminative-learning-for-unsupervised-domain-adaptation-1811.07134</loc><lastmod>2019-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-discriminative-learning-for-unsupervised-domain-adaptation-1811.07134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-discriminative-learning-for-unsupervised-domain-adaptation-1811.07134"/></url>
<url><loc>https://scifaro.com/en/abs/high-quality-prediction-of-protein-q8-secondary-structure-by-diverse-neural-network-architectures-1811.07143</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-quality-prediction-of-protein-q8-secondary-structure-by-diverse-neural-network-architectures-1811.07143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-quality-prediction-of-protein-q8-secondary-structure-by-diverse-neural-network-architectures-1811.07143"/></url>
<url><loc>https://scifaro.com/en/abs/the-theory-and-algorithm-of-ergodic-inference-1811.07192</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-theory-and-algorithm-of-ergodic-inference-1811.07192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-theory-and-algorithm-of-ergodic-inference-1811.07192"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-sparse-pseudo-input-gaussian-process-sarsa-1811.07201</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-sparse-pseudo-input-gaussian-process-sarsa-1811.07201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-sparse-pseudo-input-gaussian-process-sarsa-1811.07201"/></url>
<url><loc>https://scifaro.com/en/abs/classifiers-based-on-deep-sparse-coding-architectures-are-robust-to-deep-learning-transferable-examples-1811.07211</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifiers-based-on-deep-sparse-coding-architectures-are-robust-to-deep-learning-transferable-examples-1811.07211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifiers-based-on-deep-sparse-coding-architectures-are-robust-to-deep-learning-transferable-examples-1811.07211"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-sharing-reinforcement-learning-architecture-for-multi-agent-driving-behaviors-1811.07214</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-sharing-reinforcement-learning-architecture-for-multi-agent-driving-behaviors-1811.07214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-sharing-reinforcement-learning-architecture-for-multi-agent-driving-behaviors-1811.07214"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-health-ml4h-workshop-at-neurips-2018-1811.07216</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-health-ml4h-workshop-at-neurips-2018-1811.07216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-health-ml4h-workshop-at-neurips-2018-1811.07216"/></url>
<url><loc>https://scifaro.com/en/abs/representation-mixing-for-tts-synthesis-1811.07240</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-mixing-for-tts-synthesis-1811.07240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-mixing-for-tts-synthesis-1811.07240"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-modeling-of-intersectional-fairness-the-variance-of-bias-1811.07255</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-modeling-of-intersectional-fairness-the-variance-of-bias-1811.07255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-modeling-of-intersectional-fairness-the-variance-of-bias-1811.07255"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-learned-models-by-identifying-important-features-at-the-right-resolution-1811.07279</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-learned-models-by-identifying-important-features-at-the-right-resolution-1811.07279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-learned-models-by-identifying-important-features-at-the-right-resolution-1811.07279"/></url>
<url><loc>https://scifaro.com/en/abs/gan-qp-a-novel-gan-framework-without-gradient-vanishing-and-lipschitz-constraint-1811.07296</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gan-qp-a-novel-gan-framework-without-gradient-vanishing-and-lipschitz-constraint-1811.07296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gan-qp-a-novel-gan-framework-without-gradient-vanishing-and-lipschitz-constraint-1811.07296"/></url>
<url><loc>https://scifaro.com/en/abs/a-variational-dirichlet-framework-for-out-of-distribution-detection-1811.07308</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variational-dirichlet-framework-for-out-of-distribution-detection-1811.07308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variational-dirichlet-framework-for-out-of-distribution-detection-1811.07308"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-adversarial-examples-for-model-interpretability-1811.07311</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-adversarial-examples-for-model-interpretability-1811.07311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-adversarial-examples-for-model-interpretability-1811.07311"/></url>
<url><loc>https://scifaro.com/en/abs/transform-based-multilinear-dynamical-system-for-tensor-time-series-analysis-1811.07342</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transform-based-multilinear-dynamical-system-for-tensor-time-series-analysis-1811.07342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transform-based-multilinear-dynamical-system-for-tensor-time-series-analysis-1811.07342"/></url>
<url><loc>https://scifaro.com/en/abs/policy-optimization-with-model-based-explorations-1811.07350</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-optimization-with-model-based-explorations-1811.07350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-optimization-with-model-based-explorations-1811.07350"/></url>
<url><loc>https://scifaro.com/en/abs/the-taboo-trap-behavioural-detection-of-adversarial-samples-1811.07375</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-taboo-trap-behavioural-detection-of-adversarial-samples-1811.07375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-taboo-trap-behavioural-detection-of-adversarial-samples-1811.07375"/></url>
<url><loc>https://scifaro.com/en/abs/the-core-consistency-of-a-compressed-tensor-1811.07428</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-core-consistency-of-a-compressed-tensor-1811.07428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-core-consistency-of-a-compressed-tensor-1811.07428"/></url>
<url><loc>https://scifaro.com/en/abs/on-geometric-alignment-in-low-doubling-dimension-1811.07455</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-geometric-alignment-in-low-doubling-dimension-1811.07455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-geometric-alignment-in-low-doubling-dimension-1811.07455"/></url>
<url><loc>https://scifaro.com/en/abs/generalizable-adversarial-training-via-spectral-normalization-1811.07457</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizable-adversarial-training-via-spectral-normalization-1811.07457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizable-adversarial-training-via-spectral-normalization-1811.07457"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-cycle-consistent-generative-adversarial-networks-via-marginalizing-latent-sampling-1811.07465</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-cycle-consistent-generative-adversarial-networks-via-marginalizing-latent-sampling-1811.07465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-cycle-consistent-generative-adversarial-networks-via-marginalizing-latent-sampling-1811.07465"/></url>
<url><loc>https://scifaro.com/en/abs/best-arm-identification-in-linked-bandits-1811.07476</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-arm-identification-in-linked-bandits-1811.07476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-arm-identification-in-linked-bandits-1811.07476"/></url>
<url><loc>https://scifaro.com/en/abs/memory-in-memory-a-predictive-neural-network-for-learning-higher-order-non-stationarity-from-spatiotemporal-dynamics-1811.07490</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-in-memory-a-predictive-neural-network-for-learning-higher-order-non-stationarity-from-spatiotemporal-dynamics-1811.07490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-in-memory-a-predictive-neural-network-for-learning-higher-order-non-stationarity-from-spatiotemporal-dynamics-1811.07490"/></url>
<url><loc>https://scifaro.com/en/abs/practical-deep-reinforcement-learning-approach-for-stock-trading-1811.07522</loc><lastmod>2022-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-deep-reinforcement-learning-approach-for-stock-trading-1811.07522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-deep-reinforcement-learning-approach-for-stock-trading-1811.07522"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-as-monte-carlo-search-in-growing-single-rooted-directed-acyclic-graph-by-best-leaf-identification-1811.07531</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-as-monte-carlo-search-in-growing-single-rooted-directed-acyclic-graph-by-best-leaf-identification-1811.07531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-as-monte-carlo-search-in-growing-single-rooted-directed-acyclic-graph-by-best-leaf-identification-1811.07531"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-dropout-with-a-hierarchical-prior-1811.07533</loc><lastmod>2019-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-dropout-with-a-hierarchical-prior-1811.07533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-dropout-with-a-hierarchical-prior-1811.07533"/></url>
<url><loc>https://scifaro.com/en/abs/representation-based-and-attention-augmented-meta-learning-1811.07545</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-based-and-attention-augmented-meta-learning-1811.07545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-based-and-attention-augmented-meta-learning-1811.07545"/></url>
<url><loc>https://scifaro.com/en/abs/three-dimensional-convolutional-neural-network-pruning-with-regularization-based-method-1811.07555</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/three-dimensional-convolutional-neural-network-pruning-with-regularization-based-method-1811.07555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/three-dimensional-convolutional-neural-network-pruning-with-regularization-based-method-1811.07555"/></url>
<url><loc>https://scifaro.com/en/abs/neural-joint-source-channel-coding-1811.07557</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-joint-source-channel-coding-1811.07557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-joint-source-channel-coding-1811.07557"/></url>
<url><loc>https://scifaro.com/en/abs/deep-active-learning-with-a-neural-architecture-search-1811.07579</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-active-learning-with-a-neural-architecture-search-1811.07579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-active-learning-with-a-neural-architecture-search-1811.07579"/></url>
<url><loc>https://scifaro.com/en/abs/deep-frank-wolfe-for-neural-network-optimization-1811.07591</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-frank-wolfe-for-neural-network-optimization-1811.07591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-frank-wolfe-for-neural-network-optimization-1811.07591"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-autoencoders-for-compact-representations-of-3d-point-clouds-1811.07605</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-autoencoders-for-compact-representations-of-3d-point-clouds-1811.07605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-autoencoders-for-compact-representations-of-3d-point-clouds-1811.07605"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-density-based-clustering-algorithm-using-reverse-nearest-neighbour-1811.07615</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-density-based-clustering-algorithm-using-reverse-nearest-neighbour-1811.07615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-density-based-clustering-algorithm-using-reverse-nearest-neighbour-1811.07615"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-likelihood-gaussian-process-latent-variable-model-1811.07627</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-likelihood-gaussian-process-latent-variable-model-1811.07627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-likelihood-gaussian-process-latent-variable-model-1811.07627"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-oversampling-learning-method-for-class-imbalanced-fault-diagnostics-and-prognostics-1811.07674</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-oversampling-learning-method-for-class-imbalanced-fault-diagnostics-and-prognostics-1811.07674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-oversampling-learning-method-for-class-imbalanced-fault-diagnostics-and-prognostics-1811.07674"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-keyword-spotting-using-dilated-convolutions-and-gating-1811.07684</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-keyword-spotting-using-dilated-convolutions-and-gating-1811.07684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-keyword-spotting-using-dilated-convolutions-and-gating-1811.07684"/></url>
<url><loc>https://scifaro.com/en/abs/improving-speech-emotion-recognition-via-transformer-based-predictive-coding-through-transfer-learning-1811.07691</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-speech-emotion-recognition-via-transformer-based-predictive-coding-through-transfer-learning-1811.07691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-speech-emotion-recognition-via-transformer-based-predictive-coding-through-transfer-learning-1811.07691"/></url>
<url><loc>https://scifaro.com/en/abs/towards-global-explanations-for-credit-risk-scoring-1811.07698</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-global-explanations-for-credit-risk-scoring-1811.07698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-global-explanations-for-credit-risk-scoring-1811.07698"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-photonic-nanostructures-via-multi-fidelity-gaussian-processes-1811.07707</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-photonic-nanostructures-via-multi-fidelity-gaussian-processes-1811.07707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-photonic-nanostructures-via-multi-fidelity-gaussian-processes-1811.07707"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-a-and-a-deep-heuristic-1811.07745</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-a-and-a-deep-heuristic-1811.07745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-a-and-a-deep-heuristic-1811.07745"/></url>
<url><loc>https://scifaro.com/en/abs/how-far-from-automatically-interpreting-deep-learning-1811.07747</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-far-from-automatically-interpreting-deep-learning-1811.07747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-far-from-automatically-interpreting-deep-learning-1811.07747"/></url>
<url><loc>https://scifaro.com/en/abs/building-efficient-deep-neural-networks-with-unitary-group-convolutions-1811.07755</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-efficient-deep-neural-networks-with-unitary-group-convolutions-1811.07755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-efficient-deep-neural-networks-with-unitary-group-convolutions-1811.07755"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-exploration-in-multi-armed-bandits-extended-version-1811.07763</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-exploration-in-multi-armed-bandits-extended-version-1811.07763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-exploration-in-multi-armed-bandits-extended-version-1811.07763"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-use-heuristics-for-differential-privacy-1811.07765</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-use-heuristics-for-differential-privacy-1811.07765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-use-heuristics-for-differential-privacy-1811.07765"/></url>
<url><loc>https://scifaro.com/en/abs/learning-actionable-representations-with-goal-conditioned-policies-1811.07819</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-actionable-representations-with-goal-conditioned-policies-1811.07819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-actionable-representations-with-goal-conditioned-policies-1811.07819"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-agent-alignment-via-reward-modeling-a-research-direction-1811.07871</loc><lastmod>2018-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-agent-alignment-via-reward-modeling-a-research-direction-1811.07871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-agent-alignment-via-reward-modeling-a-research-direction-1811.07871"/></url>
<url><loc>https://scifaro.com/en/abs/guiding-policies-with-language-via-meta-learning-1811.07882</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guiding-policies-with-language-via-meta-learning-1811.07882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guiding-policies-with-language-via-meta-learning-1811.07882"/></url>
<url><loc>https://scifaro.com/en/abs/efsis-ensemble-feature-selection-integrating-stability-1811.07939</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efsis-ensemble-feature-selection-integrating-stability-1811.07939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efsis-ensemble-feature-selection-integrating-stability-1811.07939"/></url>
<url><loc>https://scifaro.com/en/abs/stackelberg-gan-towards-provable-minimax-equilibrium-via-multi-generator-architectures-1811.08010</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stackelberg-gan-towards-provable-minimax-equilibrium-via-multi-generator-architectures-1811.08010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stackelberg-gan-towards-provable-minimax-equilibrium-via-multi-generator-architectures-1811.08010"/></url>
<url><loc>https://scifaro.com/en/abs/fenchel-lifted-networks-a-lagrange-relaxation-of-neural-network-training-1811.08039</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fenchel-lifted-networks-a-lagrange-relaxation-of-neural-network-training-1811.08039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fenchel-lifted-networks-a-lagrange-relaxation-of-neural-network-training-1811.08039"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-neural-network-for-unsupervised-anomaly-detection-and-diagnosis-in-multivariate-time-series-data-1811.08055</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-neural-network-for-unsupervised-anomaly-detection-and-diagnosis-in-multivariate-time-series-data-1811.08055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-neural-network-for-unsupervised-anomaly-detection-and-diagnosis-in-multivariate-time-series-data-1811.08055"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-coherent-strong-regularization-for-deep-neural-networks-1811.08056</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-coherent-strong-regularization-for-deep-neural-networks-1811.08056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-coherent-strong-regularization-for-deep-neural-networks-1811.08056"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-of-pedestrian-trajectories-using-actor-critic-sequence-to-sequence-autoencoder-1811.08069</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-of-pedestrian-trajectories-using-actor-critic-sequence-to-sequence-autoencoder-1811.08069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-of-pedestrian-trajectories-using-actor-critic-sequence-to-sequence-autoencoder-1811.08069"/></url>
<url><loc>https://scifaro.com/en/abs/lightweight-lipschitz-margin-training-for-certified-defense-against-adversarial-examples-1811.08080</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lightweight-lipschitz-margin-training-for-certified-defense-against-adversarial-examples-1811.08080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lightweight-lipschitz-margin-training-for-certified-defense-against-adversarial-examples-1811.08080"/></url>
<url><loc>https://scifaro.com/en/abs/chaingan-a-sequential-approach-to-gans-1811.08081</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chaingan-a-sequential-approach-to-gans-1811.08081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chaingan-a-sequential-approach-to-gans-1811.08081"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-instance-learning-by-boosting-infinitely-many-shapelet-based-classifiers-1811.08084</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-instance-learning-by-boosting-infinitely-many-shapelet-based-classifiers-1811.08084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-instance-learning-by-boosting-infinitely-many-shapelet-based-classifiers-1811.08084"/></url>
<url><loc>https://scifaro.com/en/abs/limited-gradient-descent-learning-with-noisy-labels-1811.08117</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limited-gradient-descent-learning-with-noisy-labels-1811.08117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limited-gradient-descent-learning-with-noisy-labels-1811.08117"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-latent-factor-models-for-recommendation-with-influence-functions-1811.08120</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-latent-factor-models-for-recommendation-with-influence-functions-1811.08120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-latent-factor-models-for-recommendation-with-influence-functions-1811.08120"/></url>
<url><loc>https://scifaro.com/en/abs/deep-auto-set-a-deep-auto-encoder-set-network-for-activity-recognition-using-wearables-1811.08127</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-auto-set-a-deep-auto-encoder-set-network-for-activity-recognition-using-wearables-1811.08127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-auto-set-a-deep-auto-encoder-set-network-for-activity-recognition-using-wearables-1811.08127"/></url>
<url><loc>https://scifaro.com/en/abs/effect-of-depth-and-width-on-local-minima-in-deep-learning-1811.08150</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effect-of-depth-and-width-on-local-minima-in-deep-learning-1811.08150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effect-of-depth-and-width-on-local-minima-in-deep-learning-1811.08150"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-distinguishes-neurosurgical-skill-levels-in-a-virtual-reality-tumor-resection-task-1811.08159</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-distinguishes-neurosurgical-skill-levels-in-a-virtual-reality-tumor-resection-task-1811.08159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-distinguishes-neurosurgical-skill-levels-in-a-virtual-reality-tumor-resection-task-1811.08159"/></url>
<url><loc>https://scifaro.com/en/abs/variance-suppression-balanced-training-process-in-deep-learning-1811.08163</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-suppression-balanced-training-process-in-deep-learning-1811.08163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-suppression-balanced-training-process-in-deep-learning-1811.08163"/></url>
<url><loc>https://scifaro.com/en/abs/computer-assisted-fraud-detection-from-active-learning-to-reward-maximization-1811.08212</loc><lastmod>2020-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computer-assisted-fraud-detection-from-active-learning-to-reward-maximization-1811.08212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computer-assisted-fraud-detection-from-active-learning-to-reward-maximization-1811.08212"/></url>
<url><loc>https://scifaro.com/en/abs/contingency-training-1811.08214</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contingency-training-1811.08214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contingency-training-1811.08214"/></url>
<url><loc>https://scifaro.com/en/abs/a-semi-supervised-spatial-spectral-regularized-manifold-local-scaling-cut-with-hgf-for-dimensionality-reduction-of-hyperspectral-images-1811.08223</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-semi-supervised-spatial-spectral-regularized-manifold-local-scaling-cut-with-hgf-for-dimensionality-reduction-of-hyperspectral-images-1811.08223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-semi-supervised-spatial-spectral-regularized-manifold-local-scaling-cut-with-hgf-for-dimensionality-reduction-of-hyperspectral-images-1811.08223"/></url>
<url><loc>https://scifaro.com/en/abs/analytic-network-learning-1811.08227</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analytic-network-learning-1811.08227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analytic-network-learning-1811.08227"/></url>
<url><loc>https://scifaro.com/en/abs/deep-unfolded-robust-pca-with-application-to-clutter-suppression-in-ultrasound-1811.08252</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-unfolded-robust-pca-with-application-to-clutter-suppression-in-ultrasound-1811.08252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-unfolded-robust-pca-with-application-to-clutter-suppression-in-ultrasound-1811.08252"/></url>
<url><loc>https://scifaro.com/en/abs/graph-convolutional-neural-networks-via-motif-based-attention-1811.08270</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-convolutional-neural-networks-via-motif-based-attention-1811.08270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-convolutional-neural-networks-via-motif-based-attention-1811.08270"/></url>
<url><loc>https://scifaro.com/en/abs/chemixnet-mixed-dnn-architectures-for-predicting-chemical-properties-using-multiple-molecular-representations-1811.08283</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chemixnet-mixed-dnn-architectures-for-predicting-chemical-properties-using-multiple-molecular-representations-1811.08283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chemixnet-mixed-dnn-architectures-for-predicting-chemical-properties-using-multiple-molecular-representations-1811.08283"/></url>
<url><loc>https://scifaro.com/en/abs/t-cgan-conditional-generative-adversarial-network-for-data-augmentation-in-noisy-time-series-with-irregular-sampling-1811.08295</loc><lastmod>2019-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/t-cgan-conditional-generative-adversarial-network-for-data-augmentation-in-noisy-time-series-with-irregular-sampling-1811.08295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/t-cgan-conditional-generative-adversarial-network-for-data-augmentation-in-noisy-time-series-with-irregular-sampling-1811.08295"/></url>
<url><loc>https://scifaro.com/en/abs/a-gray-box-interpretable-visual-debugging-approach-for-deep-sequence-learning-model-1811.08374</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gray-box-interpretable-visual-debugging-approach-for-deep-sequence-learning-model-1811.08374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gray-box-interpretable-visual-debugging-approach-for-deep-sequence-learning-model-1811.08374"/></url>
<url><loc>https://scifaro.com/en/abs/locally-private-gaussian-estimation-1811.08382</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-private-gaussian-estimation-1811.08382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-private-gaussian-estimation-1811.08382"/></url>
<url><loc>https://scifaro.com/en/abs/gen-oja-a-two-time-scale-approach-for-streaming-cca-1811.08393</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gen-oja-a-two-time-scale-approach-for-streaming-cca-1811.08393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gen-oja-a-two-time-scale-approach-for-streaming-cca-1811.08393"/></url>
<url><loc>https://scifaro.com/en/abs/west-word-encoded-sequence-transducers-1811.08417</loc><lastmod>2018-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/west-word-encoded-sequence-transducers-1811.08417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/west-word-encoded-sequence-transducers-1811.08417"/></url>
<url><loc>https://scifaro.com/en/abs/intermediate-level-adversarial-attack-for-enhanced-transferability-1811.08458</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intermediate-level-adversarial-attack-for-enhanced-transferability-1811.08458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intermediate-level-adversarial-attack-for-enhanced-transferability-1811.08458"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-rl-in-contextual-decision-processes-pac-bounds-and-exponential-improvements-over-model-free-approaches-1811.08540</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-rl-in-contextual-decision-processes-pac-bounds-and-exponential-improvements-over-model-free-approaches-1811.08540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-rl-in-contextual-decision-processes-pac-bounds-and-exponential-improvements-over-model-free-approaches-1811.08540"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-and-inverse-reinforcement-learning-with-system-1-and-system-2-1811.08549</loc><lastmod>2019-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-and-inverse-reinforcement-learning-with-system-1-and-system-2-1811.08549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-and-inverse-reinforcement-learning-with-system-1-and-system-2-1811.08549"/></url>
<url><loc>https://scifaro.com/en/abs/high-level-strategy-selection-under-partial-observability-in-starcraft-brood-war-1811.08568</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-level-strategy-selection-under-partial-observability-in-starcraft-brood-war-1811.08568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-level-strategy-selection-under-partial-observability-in-starcraft-brood-war-1811.08568"/></url>
<url><loc>https://scifaro.com/en/abs/how-the-softmax-output-is-misleading-for-evaluating-the-strength-of-adversarial-examples-1811.08577</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-the-softmax-output-is-misleading-for-evaluating-the-strength-of-adversarial-examples-1811.08577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-the-softmax-output-is-misleading-for-evaluating-the-strength-of-adversarial-examples-1811.08577"/></url>
<url><loc>https://scifaro.com/en/abs/recent-advances-in-open-set-recognition-a-survey-1811.08581</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recent-advances-in-open-set-recognition-a-survey-1811.08581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recent-advances-in-open-set-recognition-a-survey-1811.08581"/></url>
<url><loc>https://scifaro.com/en/abs/urban-driving-with-multi-objective-deep-reinforcement-learning-1811.08586</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/urban-driving-with-multi-objective-deep-reinforcement-learning-1811.08586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/urban-driving-with-multi-objective-deep-reinforcement-learning-1811.08586"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-multimodal-representation-learning-across-medical-images-and-reports-1811.08615</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-multimodal-representation-learning-across-medical-images-and-reports-1811.08615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-multimodal-representation-learning-across-medical-images-and-reports-1811.08615"/></url>
<url><loc>https://scifaro.com/en/abs/compensated-integrated-gradients-to-reliably-interpret-eeg-classification-1811.08633</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compensated-integrated-gradients-to-reliably-interpret-eeg-classification-1811.08633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compensated-integrated-gradients-to-reliably-interpret-eeg-classification-1811.08633"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-assisted-parallel-tempering-for-bayesian-neural-learning-1811.08687</loc><lastmod>2020-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-assisted-parallel-tempering-for-bayesian-neural-learning-1811.08687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-assisted-parallel-tempering-for-bayesian-neural-learning-1811.08687"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-collaborative-prediction-using-random-forests-1811.08695</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-collaborative-prediction-using-random-forests-1811.08695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-collaborative-prediction-using-random-forests-1811.08695"/></url>
<url><loc>https://scifaro.com/en/abs/improving-pso-global-method-for-feature-selection-according-to-iterations-global-search-and-chaotic-theory-1811.08701</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-pso-global-method-for-feature-selection-according-to-iterations-global-search-and-chaotic-theory-1811.08701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-pso-global-method-for-feature-selection-according-to-iterations-global-search-and-chaotic-theory-1811.08701"/></url>
<url><loc>https://scifaro.com/en/abs/regularizing-by-the-variance-of-the-activations-sample-variances-1811.08764</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizing-by-the-variance-of-the-activations-sample-variances-1811.08764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizing-by-the-variance-of-the-activations-sample-variances-1811.08764"/></url>
<url><loc>https://scifaro.com/en/abs/mgcn-semi-supervised-classification-in-multi-layer-graphs-with-graph-convolutional-networks-1811.08800</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mgcn-semi-supervised-classification-in-multi-layer-graphs-with-graph-convolutional-networks-1811.08800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mgcn-semi-supervised-classification-in-multi-layer-graphs-with-graph-convolutional-networks-1811.08800"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-classifier-for-imbalanced-problems-1811.08812</loc><lastmod>2018-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-classifier-for-imbalanced-problems-1811.08812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-classifier-for-imbalanced-problems-1811.08812"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-reinforcement-learning-to-self-training-for-pulmonary-nodule-segmentation-in-chest-x-rays-1811.08840</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-reinforcement-learning-to-self-training-for-pulmonary-nodule-segmentation-in-chest-x-rays-1811.08840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-reinforcement-learning-to-self-training-for-pulmonary-nodule-segmentation-in-chest-x-rays-1811.08840"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-nonmyopic-active-search-with-applications-in-drug-and-materials-discovery-1811.08871</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-nonmyopic-active-search-with-applications-in-drug-and-materials-discovery-1811.08871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-nonmyopic-active-search-with-applications-in-drug-and-materials-discovery-1811.08871"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-descent-optimizes-over-parameterized-deep-relu-networks-1811.08888</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-descent-optimizes-over-parameterized-deep-relu-networks-1811.08888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-descent-optimizes-over-parameterized-deep-relu-networks-1811.08888"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-multiview-correlations-in-open-domain-videos-1811.08890</loc><lastmod>2019-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-multiview-correlations-in-open-domain-videos-1811.08890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-multiview-correlations-in-open-domain-videos-1811.08890"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-network-study-of-blasius-equation-1811.08936</loc><lastmod>2020-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-network-study-of-blasius-equation-1811.08936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-network-study-of-blasius-equation-1811.08936"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-individual-treatment-effect-in-latent-confounder-models-via-adversarial-learning-1811.08943</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-individual-treatment-effect-in-latent-confounder-models-via-adversarial-learning-1811.08943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-individual-treatment-effect-in-latent-confounder-models-via-adversarial-learning-1811.08943"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-forecasting-of-crude-oil-spot-prices-using-neural-networks-1811.08963</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-forecasting-of-crude-oil-spot-prices-using-neural-networks-1811.08963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-forecasting-of-crude-oil-spot-prices-using-neural-networks-1811.08963"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-approach-to-informative-feature-extraction-from-multimodal-data-1811.08979</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-approach-to-informative-feature-extraction-from-multimodal-data-1811.08979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-approach-to-informative-feature-extraction-from-multimodal-data-1811.08979"/></url>
<url><loc>https://scifaro.com/en/abs/hyperadam-a-learnable-task-adaptive-adam-for-network-training-1811.08996</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperadam-a-learnable-task-adaptive-adam-for-network-training-1811.08996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperadam-a-learnable-task-adaptive-adam-for-network-training-1811.08996"/></url>
<url><loc>https://scifaro.com/en/abs/on-a-sparse-shortcut-topology-of-artificial-neural-networks-1811.09003</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-a-sparse-shortcut-topology-of-artificial-neural-networks-1811.09003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-a-sparse-shortcut-topology-of-artificial-neural-networks-1811.09003"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-neural-networks-with-lipschitz-continuity-1811.09008</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-neural-networks-with-lipschitz-continuity-1811.09008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-neural-networks-with-lipschitz-continuity-1811.09008"/></url>
<url><loc>https://scifaro.com/en/abs/an-off-policy-policy-gradient-theorem-using-emphatic-weightings-1811.09013</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-off-policy-policy-gradient-theorem-using-emphatic-weightings-1811.09013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-off-policy-policy-gradient-theorem-using-emphatic-weightings-1811.09013"/></url>
<url><loc>https://scifaro.com/en/abs/bandits-with-temporal-stochastic-constraints-1811.09026</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandits-with-temporal-stochastic-constraints-1811.09026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandits-with-temporal-stochastic-constraints-1811.09026"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-adversarial-perturbations-through-spatial-behavior-in-activation-spaces-1811.09043</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-adversarial-perturbations-through-spatial-behavior-in-activation-spaces-1811.09043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-adversarial-perturbations-through-spatial-behavior-in-activation-spaces-1811.09043"/></url>
<url><loc>https://scifaro.com/en/abs/enhanced-expressive-power-and-fast-training-of-neural-networks-by-random-projections-1811.09054</loc><lastmod>2019-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhanced-expressive-power-and-fast-training-of-neural-networks-by-random-projections-1811.09054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhanced-expressive-power-and-fast-training-of-neural-networks-by-random-projections-1811.09054"/></url>
<url><loc>https://scifaro.com/en/abs/online-collective-animal-movement-activity-recognition-1811.09067</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-collective-animal-movement-activity-recognition-1811.09067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-collective-animal-movement-activity-recognition-1811.09067"/></url>
<url><loc>https://scifaro.com/en/abs/learning-goal-embeddings-via-self-play-for-hierarchical-reinforcement-learning-1811.09083</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-goal-embeddings-via-self-play-for-hierarchical-reinforcement-learning-1811.09083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-goal-embeddings-via-self-play-for-hierarchical-reinforcement-learning-1811.09083"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-gradient-descent-with-coded-partial-gradient-computations-1811.09271</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-gradient-descent-with-coded-partial-gradient-computations-1811.09271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-gradient-descent-with-coded-partial-gradient-computations-1811.09271"/></url>
<url><loc>https://scifaro.com/en/abs/parametric-noise-injection-trainable-randomness-to-improve-deep-neural-network-robustness-against-adversarial-attack-1811.09310</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametric-noise-injection-trainable-randomness-to-improve-deep-neural-network-robustness-against-adversarial-attack-1811.09310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametric-noise-injection-trainable-randomness-to-improve-deep-neural-network-robustness-against-adversarial-attack-1811.09310"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-for-survival-analysis-with-competing-risks-using-deep-learning-1811.09317</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-for-survival-analysis-with-competing-risks-using-deep-learning-1811.09317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-for-survival-analysis-with-competing-risks-using-deep-learning-1811.09317"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-diabetes-disease-evolution-using-financial-records-and-recurrent-neural-networks-1811.09350</loc><lastmod>2020-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-diabetes-disease-evolution-using-financial-records-and-recurrent-neural-networks-1811.09350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-diabetes-disease-evolution-using-financial-records-and-recurrent-neural-networks-1811.09350"/></url>
<url><loc>https://scifaro.com/en/abs/a-sufficient-condition-for-convergences-of-adam-and-rmsprop-1811.09358</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sufficient-condition-for-convergences-of-adam-and-rmsprop-1811.09358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sufficient-condition-for-convergences-of-adam-and-rmsprop-1811.09358"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-robust-mean-estimation-in-nearly-linear-time-1811.09380</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-robust-mean-estimation-in-nearly-linear-time-1811.09380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-robust-mean-estimation-in-nearly-linear-time-1811.09380"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-importance-of-strong-baselines-in-bayesian-deep-learning-1811.09385</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-importance-of-strong-baselines-in-bayesian-deep-learning-1811.09385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-importance-of-strong-baselines-in-bayesian-deep-learning-1811.09385"/></url>
<url><loc>https://scifaro.com/en/abs/differential-private-stack-generalization-with-an-application-to-diabetes-prediction-1811.09491</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-private-stack-generalization-with-an-application-to-diabetes-prediction-1811.09491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-private-stack-generalization-with-an-application-to-diabetes-prediction-1811.09491"/></url>
<url><loc>https://scifaro.com/en/abs/the-error-is-the-feature-how-to-forecast-lightning-using-a-model-prediction-error-1811.09496</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-error-is-the-feature-how-to-forecast-lightning-using-a-model-prediction-error-1811.09496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-error-is-the-feature-how-to-forecast-lightning-using-a-model-prediction-error-1811.09496"/></url>
<url><loc>https://scifaro.com/en/abs/learning-attractor-dynamics-for-generative-memory-1811.09556</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-attractor-dynamics-for-generative-memory-1811.09556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-attractor-dynamics-for-generative-memory-1811.09556"/></url>
<url><loc>https://scifaro.com/en/abs/regret-bounds-for-meta-bayesian-optimization-with-an-unknown-gaussian-process-prior-1811.09558</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-bounds-for-meta-bayesian-optimization-with-an-unknown-gaussian-process-prior-1811.09558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-bounds-for-meta-bayesian-optimization-with-an-unknown-gaussian-process-prior-1811.09558"/></url>
<url><loc>https://scifaro.com/en/abs/contributions-to-biclustering-of-microarray-data-using-formal-concept-analysis-1811.09562</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contributions-to-biclustering-of-microarray-data-using-formal-concept-analysis-1811.09562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contributions-to-biclustering-of-microarray-data-using-formal-concept-analysis-1811.09562"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-training-of-generative-networks-1811.09568</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-training-of-generative-networks-1811.09568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-training-of-generative-networks-1811.09568"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-multigraph-networks-for-discovering-and-fusing-relationships-in-molecules-1811.09595</loc><lastmod>2018-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-multigraph-networks-for-discovering-and-fusing-relationships-in-molecules-1811.09595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-multigraph-networks-for-discovering-and-fusing-relationships-in-molecules-1811.09595"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-reinforcement-learning-for-sepsis-treatment-1811.09602</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-for-sepsis-treatment-1811.09602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-for-sepsis-treatment-1811.09602"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-via-curvature-regularization-and-vice-versa-1811.09716</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-via-curvature-regularization-and-vice-versa-1811.09716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-via-curvature-regularization-and-vice-versa-1811.09716"/></url>
<url><loc>https://scifaro.com/en/abs/representer-point-selection-for-explaining-deep-neural-networks-1811.09720</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representer-point-selection-for-explaining-deep-neural-networks-1811.09720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representer-point-selection-for-explaining-deep-neural-networks-1811.09720"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-variable-stacked-long-short-term-memory-network-for-wind-speed-forecasting-1811.09735</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-variable-stacked-long-short-term-memory-network-for-wind-speed-forecasting-1811.09735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-variable-stacked-long-short-term-memory-network-for-wind-speed-forecasting-1811.09735"/></url>
<url><loc>https://scifaro.com/en/abs/frustrated-with-replicating-claims-of-a-shared-model-a-solution-1811.09737</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frustrated-with-replicating-claims-of-a-shared-model-a-solution-1811.09737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frustrated-with-replicating-claims-of-a-shared-model-a-solution-1811.09737"/></url>
<url><loc>https://scifaro.com/en/abs/connecting-the-dots-between-mle-and-rl-for-sequence-prediction-1811.09740</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/connecting-the-dots-between-mle-and-rl-for-sequence-prediction-1811.09740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/connecting-the-dots-between-mle-and-rl-for-sequence-prediction-1811.09740"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-and-avoiding-negative-transfer-1811.09751</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-and-avoiding-negative-transfer-1811.09751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-and-avoiding-negative-transfer-1811.09751"/></url>
<url><loc>https://scifaro.com/en/abs/defactor-differentiable-edge-factorization-based-probabilistic-graph-generation-1811.09766</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defactor-differentiable-edge-factorization-based-probabilistic-graph-generation-1811.09766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defactor-differentiable-edge-factorization-based-probabilistic-graph-generation-1811.09766"/></url>
<url><loc>https://scifaro.com/en/abs/three-dimensionally-embedded-graph-convolutional-network-3dgcn-for-molecule-interpretation-1811.09794</loc><lastmod>2019-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/three-dimensionally-embedded-graph-convolutional-network-3dgcn-for-molecule-interpretation-1811.09794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/three-dimensionally-embedded-graph-convolutional-network-3dgcn-for-molecule-interpretation-1811.09794"/></url>
<url><loc>https://scifaro.com/en/abs/evolutionary-neural-hybrid-agents-for-architecture-search-1811.09828</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolutionary-neural-hybrid-agents-for-architecture-search-1811.09828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolutionary-neural-hybrid-agents-for-architecture-search-1811.09828"/></url>
<url><loc>https://scifaro.com/en/abs/oclep-one-class-anomaly-and-intrusion-detection-using-minimal-length-of-emerging-patterns-1811.09842</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oclep-one-class-anomaly-and-intrusion-detection-using-minimal-length-of-emerging-patterns-1811.09842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oclep-one-class-anomaly-and-intrusion-detection-using-minimal-length-of-emerging-patterns-1811.09842"/></url>
<url><loc>https://scifaro.com/en/abs/on-periodic-functions-as-regularizers-for-quantization-of-neural-networks-1811.09862</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-periodic-functions-as-regularizers-for-quantization-of-neural-networks-1811.09862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-periodic-functions-as-regularizers-for-quantization-of-neural-networks-1811.09862"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-inference-in-facebook-data-centers-characterization-performance-optimizations-and-hardware-implications-1811.09886</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-inference-in-facebook-data-centers-characterization-performance-optimizations-and-hardware-implications-1811.09886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-inference-in-facebook-data-centers-characterization-performance-optimizations-and-hardware-implications-1811.09886"/></url>
<url><loc>https://scifaro.com/en/abs/biscotti-a-ledger-for-private-and-secure-peer-to-peer-machine-learning-1811.09904</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biscotti-a-ledger-for-private-and-secure-peer-to-peer-machine-learning-1811.09904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biscotti-a-ledger-for-private-and-secure-peer-to-peer-machine-learning-1811.09904"/></url>
<url><loc>https://scifaro.com/en/abs/average-case-information-complexity-of-learning-1811.09923</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/average-case-information-complexity-of-learning-1811.09923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/average-case-information-complexity-of-learning-1811.09923"/></url>
<url><loc>https://scifaro.com/en/abs/online-newton-step-algorithm-with-estimated-gradient-1811.09955</loc><lastmod>2019-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-newton-step-algorithm-with-estimated-gradient-1811.09955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-newton-step-algorithm-with-estimated-gradient-1811.09955"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-variational-autoencoders-for-collaborative-filtering-1811.09975</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-variational-autoencoders-for-collaborative-filtering-1811.09975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-variational-autoencoders-for-collaborative-filtering-1811.09975"/></url>
<url><loc>https://scifaro.com/en/abs/is-data-clustering-in-adversarial-settings-secure-1811.09982</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-data-clustering-in-adversarial-settings-secure-1811.09982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-data-clustering-in-adversarial-settings-secure-1811.09982"/></url>
<url><loc>https://scifaro.com/en/abs/poisoning-behavioral-malware-clustering-1811.09985</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisoning-behavioral-malware-clustering-1811.09985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisoning-behavioral-malware-clustering-1811.09985"/></url>
<url><loc>https://scifaro.com/en/abs/planning-in-dynamic-environments-with-conditional-autoregressive-models-1811.10097</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/planning-in-dynamic-environments-with-conditional-autoregressive-models-1811.10097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/planning-in-dynamic-environments-with-conditional-autoregressive-models-1811.10097"/></url>
<url><loc>https://scifaro.com/en/abs/a-model-based-reinforcement-learning-approach-for-a-rare-disease-diagnostic-task-1811.10112</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-model-based-reinforcement-learning-approach-for-a-rare-disease-diagnostic-task-1811.10112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-model-based-reinforcement-learning-approach-for-a-rare-disease-diagnostic-task-1811.10112"/></url>
<url><loc>https://scifaro.com/en/abs/variational-end-to-end-navigation-and-localization-1811.10119</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-end-to-end-navigation-and-localization-1811.10119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-end-to-end-navigation-and-localization-1811.10119"/></url>
<url><loc>https://scifaro.com/en/abs/frequency-principle-in-deep-learning-with-general-loss-functions-and-its-potential-application-1811.10146</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frequency-principle-in-deep-learning-with-general-loss-functions-and-its-potential-application-1811.10146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frequency-principle-in-deep-learning-with-general-loss-functions-and-its-potential-application-1811.10146"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-uplift-modeling-1811.10158</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-uplift-modeling-1811.10158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-uplift-modeling-1811.10158"/></url>
<url><loc>https://scifaro.com/en/abs/instanas-instance-aware-neural-architecture-search-1811.10201</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instanas-instance-aware-neural-architecture-search-1811.10201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instanas-instance-aware-neural-architecture-search-1811.10201"/></url>
<url><loc>https://scifaro.com/en/abs/pns-population-guided-novelty-search-for-reinforcement-learning-in-hard-exploration-environments-1811.10264</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pns-population-guided-novelty-search-for-reinforcement-learning-in-hard-exploration-environments-1811.10264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pns-population-guided-novelty-search-for-reinforcement-learning-in-hard-exploration-environments-1811.10264"/></url>
<url><loc>https://scifaro.com/en/abs/a-differential-topological-view-of-challenges-in-learning-with-feedforward-neural-networks-1811.10304</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-differential-topological-view-of-challenges-in-learning-with-feedforward-neural-networks-1811.10304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-differential-topological-view-of-challenges-in-learning-with-feedforward-neural-networks-1811.10304"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-against-the-channel-effect-in-pathological-voice-detection-1811.10376</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-against-the-channel-effect-in-pathological-voice-detection-1811.10376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-against-the-channel-effect-in-pathological-voice-detection-1811.10376"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-skip-ineffectual-recurrent-computations-in-lstms-1811.10396</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-skip-ineffectual-recurrent-computations-in-lstms-1811.10396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-skip-ineffectual-recurrent-computations-in-lstms-1811.10396"/></url>
<url><loc>https://scifaro.com/en/abs/mr-gan-manifold-regularized-generative-adversarial-networks-1811.10427</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mr-gan-manifold-regularized-generative-adversarial-networks-1811.10427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mr-gan-manifold-regularized-generative-adversarial-networks-1811.10427"/></url>
<url><loc>https://scifaro.com/en/abs/on-filter-size-in-graph-convolutional-networks-1811.10435</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-filter-size-in-graph-convolutional-networks-1811.10435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-filter-size-in-graph-convolutional-networks-1811.10435"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-implementing-machine-learning-on-omics-data-1811.10455</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-implementing-machine-learning-on-omics-data-1811.10455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-implementing-machine-learning-on-omics-data-1811.10455"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-improve-the-interpretability-of-kernel-learning-1811.10469</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-improve-the-interpretability-of-kernel-learning-1811.10469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-improve-the-interpretability-of-kernel-learning-1811.10469"/></url>
<url><loc>https://scifaro.com/en/abs/icprai-2018-si-on-dynamic-ensemble-selection-and-data-preprocessing-for-multi-class-imbalance-learning-1811.10481</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/icprai-2018-si-on-dynamic-ensemble-selection-and-data-preprocessing-for-multi-class-imbalance-learning-1811.10481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/icprai-2018-si-on-dynamic-ensemble-selection-and-data-preprocessing-for-multi-class-imbalance-learning-1811.10481"/></url>
<url><loc>https://scifaro.com/en/abs/deep-ensemble-tensor-factorization-for-longitudinal-patient-trajectories-classification-1811.10501</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-ensemble-tensor-factorization-for-longitudinal-patient-trajectories-classification-1811.10501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-ensemble-tensor-factorization-for-longitudinal-patient-trajectories-classification-1811.10501"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-neural-network-to-enhance-prediction-of-1-year-mortality-using-echocardiographic-videos-of-the-heart-1811.10553</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-neural-network-to-enhance-prediction-of-1-year-mortality-using-echocardiographic-videos-of-the-heart-1811.10553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-neural-network-to-enhance-prediction-of-1-year-mortality-using-echocardiographic-videos-of-the-heart-1811.10553"/></url>
<url><loc>https://scifaro.com/en/abs/hogwild-gibbs-can-be-panaccurate-1811.10581</loc><lastmod>2018-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hogwild-gibbs-can-be-panaccurate-1811.10581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hogwild-gibbs-can-be-panaccurate-1811.10581"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-computations-during-inference-harmful-or-helpful-1811.10649</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-computations-during-inference-harmful-or-helpful-1811.10649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-computations-during-inference-harmful-or-helpful-1811.10649"/></url>
<url><loc>https://scifaro.com/en/abs/heloc-applicant-risk-performance-evaluation-by-topological-hierarchical-decomposition-1811.10658</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heloc-applicant-risk-performance-evaluation-by-topological-hierarchical-decomposition-1811.10658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heloc-applicant-risk-performance-evaluation-by-topological-hierarchical-decomposition-1811.10658"/></url>
<url><loc>https://scifaro.com/en/abs/learning-robust-representations-for-automatic-target-recognition-1811.10714</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-robust-representations-for-automatic-target-recognition-1811.10714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-robust-representations-for-automatic-target-recognition-1811.10714"/></url>
<url><loc>https://scifaro.com/en/abs/dynamicgem-a-library-for-dynamic-graph-embedding-methods-1811.10734</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamicgem-a-library-for-dynamic-graph-embedding-methods-1811.10734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamicgem-a-library-for-dynamic-graph-embedding-methods-1811.10734"/></url>
<url><loc>https://scifaro.com/en/abs/donut-ctc-based-query-by-example-keyword-spotting-1811.10736</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/donut-ctc-based-query-by-example-keyword-spotting-1811.10736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/donut-ctc-based-query-by-example-keyword-spotting-1811.10736"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-of-regression-experts-in-fmri-encoding-1811.10740</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-of-regression-experts-in-fmri-encoding-1811.10740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-of-regression-experts-in-fmri-encoding-1811.10740"/></url>
<url><loc>https://scifaro.com/en/abs/resnets-ensemble-via-the-feynman-kac-formalism-to-improve-natural-and-robust-accuracies-1811.10745</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resnets-ensemble-via-the-feynman-kac-formalism-to-improve-natural-and-robust-accuracies-1811.10745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resnets-ensemble-via-the-feynman-kac-formalism-to-improve-natural-and-robust-accuracies-1811.10745"/></url>
<url><loc>https://scifaro.com/en/abs/match-net-dynamic-prediction-in-survival-analysis-using-convolutional-neural-networks-1811.10746</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/match-net-dynamic-prediction-in-survival-analysis-using-convolutional-neural-networks-1811.10746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/match-net-dynamic-prediction-in-survival-analysis-using-convolutional-neural-networks-1811.10746"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-data-efficient-learning-from-noisy-choice-based-labels-for-inherent-risk-scoring-1811.10791</loc><lastmod>2018-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-data-efficient-learning-from-noisy-choice-based-labels-for-inherent-risk-scoring-1811.10791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-data-efficient-learning-from-noisy-choice-based-labels-for-inherent-risk-scoring-1811.10791"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-push-for-distributed-deep-learning-1811.10792</loc><lastmod>2020-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-push-for-distributed-deep-learning-1811.10792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-push-for-distributed-deep-learning-1811.10792"/></url>
<url><loc>https://scifaro.com/en/abs/node-embedding-with-adaptive-similarities-for-scalable-learning-over-graphs-1811.10797</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-embedding-with-adaptive-similarities-for-scalable-learning-over-graphs-1811.10797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-embedding-with-adaptive-similarities-for-scalable-learning-over-graphs-1811.10797"/></url>
<url><loc>https://scifaro.com/en/abs/what-is-interpretable-using-machine-learning-to-design-interpretable-decision-support-systems-1811.10799</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-is-interpretable-using-machine-learning-to-design-interpretable-decision-support-systems-1811.10799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-is-interpretable-using-machine-learning-to-design-interpretable-decision-support-systems-1811.10799"/></url>
<url><loc>https://scifaro.com/en/abs/a-frank-wolfe-framework-for-efficient-and-effective-adversarial-attacks-1811.10828</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-frank-wolfe-framework-for-efficient-and-effective-adversarial-attacks-1811.10828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-frank-wolfe-framework-for-efficient-and-effective-adversarial-attacks-1811.10828"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-non-uniform-quantizer-for-quantized-neural-network-targeting-reconfigurable-hardware-1811.10869</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-non-uniform-quantizer-for-quantized-neural-network-targeting-reconfigurable-hardware-1811.10869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-non-uniform-quantizer-for-quantized-neural-network-targeting-reconfigurable-hardware-1811.10869"/></url>
<url><loc>https://scifaro.com/en/abs/beta-distribution-drift-detection-for-adaptive-classifiers-1811.10900</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beta-distribution-drift-detection-for-adaptive-classifiers-1811.10900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beta-distribution-drift-detection-for-adaptive-classifiers-1811.10900"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-multi-task-contextual-bandits-in-cellular-network-configuration-1811.10902</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-multi-task-contextual-bandits-in-cellular-network-configuration-1811.10902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-multi-task-contextual-bandits-in-cellular-network-configuration-1811.10902"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-flu-from-instagram-1811.10949</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-flu-from-instagram-1811.10949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-flu-from-instagram-1811.10949"/></url>
<url><loc>https://scifaro.com/en/abs/dataset-distillation-1811.10959</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dataset-distillation-1811.10959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dataset-distillation-1811.10959"/></url>
<url><loc>https://scifaro.com/en/abs/neural-non-stationary-spectral-kernel-1811.10978</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-non-stationary-spectral-kernel-1811.10978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-non-stationary-spectral-kernel-1811.10978"/></url>
<url><loc>https://scifaro.com/en/abs/arena-model-inference-about-competitions-1811.11019</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arena-model-inference-about-competitions-1811.11019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arena-model-inference-about-competitions-1811.11019"/></url>
<url><loc>https://scifaro.com/en/abs/learning-state-representations-in-complex-systems-with-multimodal-data-1811.11067</loc><lastmod>2019-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-state-representations-in-complex-systems-with-multimodal-data-1811.11067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-state-representations-in-complex-systems-with-multimodal-data-1811.11067"/></url>
<url><loc>https://scifaro.com/en/abs/leasgd-an-efficient-and-privacy-preserving-decentralized-algorithm-for-distributed-learning-1811.11124</loc><lastmod>2018-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leasgd-an-efficient-and-privacy-preserving-decentralized-algorithm-for-distributed-learning-1811.11124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leasgd-an-efficient-and-privacy-preserving-decentralized-algorithm-for-distributed-learning-1811.11124"/></url>
<url><loc>https://scifaro.com/en/abs/semantically-aware-population-health-risk-analyses-1811.11190</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantically-aware-population-health-risk-analyses-1811.11190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantically-aware-population-health-risk-analyses-1811.11190"/></url>
<url><loc>https://scifaro.com/en/abs/calibrating-uncertainties-in-object-localization-task-1811.11210</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrating-uncertainties-in-object-localization-task-1811.11210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrating-uncertainties-in-object-localization-task-1811.11210"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-gans-via-auxiliary-rotation-loss-1811.11212</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-gans-via-auxiliary-rotation-loss-1811.11212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-gans-via-auxiliary-rotation-loss-1811.11212"/></url>
<url><loc>https://scifaro.com/en/abs/dlhub-model-and-data-serving-for-science-1811.11213</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dlhub-model-and-data-serving-for-science-1811.11213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dlhub-model-and-data-serving-for-science-1811.11213"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-impact-of-entropy-on-policy-optimization-1811.11214</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-impact-of-entropy-on-policy-optimization-1811.11214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-impact-of-entropy-on-policy-optimization-1811.11214"/></url>
<url><loc>https://scifaro.com/en/abs/grammars-and-reinforcement-learning-for-molecule-optimization-1811.11222</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grammars-and-reinforcement-learning-for-molecule-optimization-1811.11222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grammars-and-reinforcement-learning-for-molecule-optimization-1811.11222"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-configuration-of-energy-harvesting-sensors-with-reinforcement-learning-1811.11259</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-configuration-of-energy-harvesting-sensors-with-reinforcement-learning-1811.11259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-configuration-of-energy-harvesting-sensors-with-reinforcement-learning-1811.11259"/></url>
<url><loc>https://scifaro.com/en/abs/synthesizing-tabular-data-using-generative-adversarial-networks-1811.11264</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthesizing-tabular-data-using-generative-adversarial-networks-1811.11264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthesizing-tabular-data-using-generative-adversarial-networks-1811.11264"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-semi-supervised-generative-adversarial-networks-to-regression-using-feature-contrasting-1811.11269</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-semi-supervised-generative-adversarial-networks-to-regression-using-feature-contrasting-1811.11269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-semi-supervised-generative-adversarial-networks-to-regression-using-feature-contrasting-1811.11269"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-restart-distributions-1811.11298</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-restart-distributions-1811.11298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-restart-distributions-1811.11298"/></url>
<url><loc>https://scifaro.com/en/abs/using-attribution-to-decode-dataset-bias-in-neural-network-models-for-chemistry-1811.11310</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-attribution-to-decode-dataset-bias-in-neural-network-models-for-chemistry-1811.11310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-attribution-to-decode-dataset-bias-in-neural-network-models-for-chemistry-1811.11310"/></url>
<url><loc>https://scifaro.com/en/abs/effective-ways-to-build-and-evaluate-individual-survival-distributions-1811.11347</loc><lastmod>2020-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-ways-to-build-and-evaluate-individual-survival-distributions-1811.11347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-ways-to-build-and-evaluate-individual-survival-distributions-1811.11347"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-classification-search-space-in-the-meka-software-1811.11353</loc><lastmod>2020-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-classification-search-space-in-the-meka-software-1811.11353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-classification-search-space-in-the-meka-software-1811.11353"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-control-through-non-parametric-discriminative-rewards-1811.11359</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-control-through-non-parametric-discriminative-rewards-1811.11359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-control-through-non-parametric-discriminative-rewards-1811.11359"/></url>
<url><loc>https://scifaro.com/en/abs/formal-verification-of-cnn-based-perception-systems-1811.11373</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/formal-verification-of-cnn-based-perception-systems-1811.11373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/formal-verification-of-cnn-based-perception-systems-1811.11373"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-machine-learning-and-speech-emotion-recognition-utilizing-generative-adversarial-networks-for-robustness-1811.11402</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-machine-learning-and-speech-emotion-recognition-utilizing-generative-adversarial-networks-for-robustness-1811.11402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-machine-learning-and-speech-emotion-recognition-utilizing-generative-adversarial-networks-for-robustness-1811.11402"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-with-bidirectional-gans-1811.11426</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-with-bidirectional-gans-1811.11426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-with-bidirectional-gans-1811.11426"/></url>
<url><loc>https://scifaro.com/en/abs/deep-collective-matrix-factorization-for-augmented-multi-view-learning-1811.11427</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-collective-matrix-factorization-for-augmented-multi-view-learning-1811.11427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-collective-matrix-factorization-for-augmented-multi-view-learning-1811.11427"/></url>
<url><loc>https://scifaro.com/en/abs/trajectory-based-learning-for-ball-in-maze-games-1811.11441</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trajectory-based-learning-for-ball-in-maze-games-1811.11441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trajectory-based-learning-for-ball-in-maze-games-1811.11441"/></url>
<url><loc>https://scifaro.com/en/abs/girnet-interleaved-multi-task-recurrent-state-sequence-models-1811.11456</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/girnet-interleaved-multi-task-recurrent-state-sequence-models-1811.11456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/girnet-interleaved-multi-task-recurrent-state-sequence-models-1811.11456"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-on-device-machine-learning-federated-distillation-and-augmentation-under-non-iid-private-data-1811.11479</loc><lastmod>2023-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-on-device-machine-learning-federated-distillation-and-augmentation-under-non-iid-private-data-1811.11479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-on-device-machine-learning-federated-distillation-and-augmentation-under-non-iid-private-data-1811.11479"/></url>
<url><loc>https://scifaro.com/en/abs/a-randomized-gradient-free-attack-on-relu-networks-1811.11493</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-randomized-gradient-free-attack-on-relu-networks-1811.11493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-randomized-gradient-free-attack-on-relu-networks-1811.11493"/></url>
<url><loc>https://scifaro.com/en/abs/linear-and-nonlinear-identification-of-dryer-system-using-artificial-intelligence-and-neural-networks-1811.11534</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-and-nonlinear-identification-of-dryer-system-using-artificial-intelligence-and-neural-networks-1811.11534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-and-nonlinear-identification-of-dryer-system-using-artificial-intelligence-and-neural-networks-1811.11534"/></url>
<url><loc>https://scifaro.com/en/abs/hs-2-active-learning-over-hypergraphs-1811.11549</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hs-2-active-learning-over-hypergraphs-1811.11549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hs-2-active-learning-over-hypergraphs-1811.11549"/></url>
<url><loc>https://scifaro.com/en/abs/automated-algorithm-selection-survey-and-perspectives-1811.11597</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-algorithm-selection-survey-and-perspectives-1811.11597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-algorithm-selection-survey-and-perspectives-1811.11597"/></url>
<url><loc>https://scifaro.com/en/abs/multi-step-time-series-forecasting-using-ridge-polynomial-neural-network-with-error-output-feedbacks-1811.11620</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-step-time-series-forecasting-using-ridge-polynomial-neural-network-with-error-output-feedbacks-1811.11620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-step-time-series-forecasting-using-ridge-polynomial-neural-network-with-error-output-feedbacks-1811.11620"/></url>
<url><loc>https://scifaro.com/en/abs/waveletnet-logarithmic-scale-efficient-convolutional-neural-networks-for-edge-devices-1811.11644</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/waveletnet-logarithmic-scale-efficient-convolutional-neural-networks-for-edge-devices-1811.11644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/waveletnet-logarithmic-scale-efficient-convolutional-neural-networks-for-edge-devices-1811.11644"/></url>
<url><loc>https://scifaro.com/en/abs/a-structure-aware-online-learning-algorithm-for-markov-decision-processes-1811.11646</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-structure-aware-online-learning-algorithm-for-markov-decision-processes-1811.11646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-structure-aware-online-learning-algorithm-for-markov-decision-processes-1811.11646"/></url>
<url><loc>https://scifaro.com/en/abs/racial-categories-in-machine-learning-1811.11668</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/racial-categories-in-machine-learning-1811.11668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/racial-categories-in-machine-learning-1811.11668"/></url>
<url><loc>https://scifaro.com/en/abs/towards-identifying-and-managing-sources-of-uncertainty-in-ai-and-machine-learning-models-an-overview-1811.11669</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-identifying-and-managing-sources-of-uncertainty-in-ai-and-machine-learning-models-an-overview-1811.11669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-identifying-and-managing-sources-of-uncertainty-in-ai-and-machine-learning-models-an-overview-1811.11669"/></url>
<url><loc>https://scifaro.com/en/abs/experience-replay-for-continual-learning-1811.11682</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/experience-replay-for-continual-learning-1811.11682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/experience-replay-for-continual-learning-1811.11682"/></url>
<url><loc>https://scifaro.com/en/abs/shared-representational-geometry-across-neural-networks-1811.11684</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shared-representational-geometry-across-neural-networks-1811.11684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shared-representational-geometry-across-neural-networks-1811.11684"/></url>
<url><loc>https://scifaro.com/en/abs/an-adversarial-approach-for-explainable-ai-in-intrusion-detection-systems-1811.11705</loc><lastmod>2018-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adversarial-approach-for-explainable-ai-in-intrusion-detection-systems-1811.11705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adversarial-approach-for-explainable-ai-in-intrusion-detection-systems-1811.11705"/></url>
<url><loc>https://scifaro.com/en/abs/neural-probabilistic-motor-primitives-for-humanoid-control-1811.11711</loc><lastmod>2019-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-probabilistic-motor-primitives-for-humanoid-control-1811.11711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-probabilistic-motor-primitives-for-humanoid-control-1811.11711"/></url>
<url><loc>https://scifaro.com/en/abs/unrepresentative-video-data-a-review-and-evaluation-1811.11815</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unrepresentative-video-data-a-review-and-evaluation-1811.11815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unrepresentative-video-data-a-review-and-evaluation-1811.11815"/></url>
<url><loc>https://scifaro.com/en/abs/disease-phenotyping-using-deep-learning-a-diabetes-case-study-1811.11818</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disease-phenotyping-using-deep-learning-a-diabetes-case-study-1811.11818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disease-phenotyping-using-deep-learning-a-diabetes-case-study-1811.11818"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-computational-cost-of-deep-learning-models-1811.11880</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-computational-cost-of-deep-learning-models-1811.11880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-computational-cost-of-deep-learning-models-1811.11880"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-top-k-subset-bandits-with-linear-space-and-non-linear-feedback-1811.11925</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-top-k-subset-bandits-with-linear-space-and-non-linear-feedback-1811.11925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-top-k-subset-bandits-with-linear-space-and-non-linear-feedback-1811.11925"/></url>
<url><loc>https://scifaro.com/en/abs/autoconj-recognizing-and-exploiting-conjugacy-without-a-domain-specific-language-1811.11926</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoconj-recognizing-and-exploiting-conjugacy-without-a-domain-specific-language-1811.11926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoconj-recognizing-and-exploiting-conjugacy-without-a-domain-specific-language-1811.11926"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-factory-automated-development-and-collaborative-evaluation-of-predictive-models-1811.11960</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-factory-automated-development-and-collaborative-evaluation-of-predictive-models-1811.11960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-factory-automated-development-and-collaborative-evaluation-of-predictive-models-1811.11960"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-pedestrians-backpropagation-in-cnns-1811.11987</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-pedestrians-backpropagation-in-cnns-1811.11987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-pedestrians-backpropagation-in-cnns-1811.11987"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-distributed-second-order-optimization-using-kronecker-factored-approximate-curvature-for-deep-convolutional-neural-networks-1811.12019</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-distributed-second-order-optimization-using-kronecker-factored-approximate-curvature-for-deep-convolutional-neural-networks-1811.12019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-distributed-second-order-optimization-using-kronecker-factored-approximate-curvature-for-deep-convolutional-neural-networks-1811.12019"/></url>
<url><loc>https://scifaro.com/en/abs/a-snapshot-on-nonstandard-supervised-learning-problems-taxonomy-relationships-and-methods-1811.12044</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-snapshot-on-nonstandard-supervised-learning-problems-taxonomy-relationships-and-methods-1811.12044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-snapshot-on-nonstandard-supervised-learning-problems-taxonomy-relationships-and-methods-1811.12044"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-reason-with-third-order-tensor-products-1811.12143</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-reason-with-third-order-tensor-products-1811.12143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-reason-with-third-order-tensor-products-1811.12143"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-neural-network-ensembles-1811.12188</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-neural-network-ensembles-1811.12188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-neural-network-ensembles-1811.12188"/></url>
<url><loc>https://scifaro.com/en/abs/early-stratification-of-patients-at-risk-for-postoperative-complications-after-elective-colectomy-1811.12227</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-stratification-of-patients-at-risk-for-postoperative-complications-after-elective-colectomy-1811.12227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-stratification-of-patients-at-risk-for-postoperative-complications-after-elective-colectomy-1811.12227"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-on-electronic-health-records-models-and-features-usages-to-predict-medication-non-adherence-1811.12234</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-on-electronic-health-records-models-and-features-usages-to-predict-medication-non-adherence-1811.12234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-on-electronic-health-records-models-and-features-usages-to-predict-medication-non-adherence-1811.12234"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-the-stochastic-and-the-adversarial-bandits-with-knapsack-1811.12253</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-the-stochastic-and-the-adversarial-bandits-with-knapsack-1811.12253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-the-stochastic-and-the-adversarial-bandits-with-knapsack-1811.12253"/></url>
<url><loc>https://scifaro.com/en/abs/the-effect-of-heterogeneous-data-for-alzheimer-s-disease-detection-from-speech-1811.12254</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effect-of-heterogeneous-data-for-alzheimer-s-disease-detection-from-speech-1811.12254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effect-of-heterogeneous-data-for-alzheimer-s-disease-detection-from-speech-1811.12254"/></url>
<url><loc>https://scifaro.com/en/abs/locally-differentially-private-randomized-response-for-discrete-distribution-learning-1811.12257</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-differentially-private-randomized-response-for-discrete-distribution-learning-1811.12257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-differentially-private-randomized-response-for-discrete-distribution-learning-1811.12257"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-transferability-of-representations-in-neural-networks-between-datasets-and-tasks-1811.12273</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-transferability-of-representations-in-neural-networks-between-datasets-and-tasks-1811.12273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-transferability-of-representations-in-neural-networks-between-datasets-and-tasks-1811.12273"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-complex-valued-neural-networks-on-real-valued-classification-tasks-1811.12351</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-complex-valued-neural-networks-on-real-valued-classification-tasks-1811.12351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-complex-valued-neural-networks-on-real-valued-classification-tasks-1811.12351"/></url>
<url><loc>https://scifaro.com/en/abs/challenging-common-assumptions-in-the-unsupervised-learning-of-disentangled-representations-1811.12359</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenging-common-assumptions-in-the-unsupervised-learning-of-disentangled-representations-1811.12359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenging-common-assumptions-in-the-unsupervised-learning-of-disentangled-representations-1811.12359"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-implicit-assumptions-of-gans-1811.12402</loc><lastmod>2018-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-implicit-assumptions-of-gans-1811.12402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-implicit-assumptions-of-gans-1811.12402"/></url>
<url><loc>https://scifaro.com/en/abs/flow-shape-design-for-microfluidic-devices-using-deep-reinforcement-learning-1811.12444</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flow-shape-design-for-microfluidic-devices-using-deep-reinforcement-learning-1811.12444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flow-shape-design-for-microfluidic-devices-using-deep-reinforcement-learning-1811.12444"/></url>
<url><loc>https://scifaro.com/en/abs/amplification-by-shuffling-from-local-to-central-differential-privacy-via-anonymity-1811.12469</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amplification-by-shuffling-from-local-to-central-differential-privacy-via-anonymity-1811.12469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amplification-by-shuffling-from-local-to-central-differential-privacy-via-anonymity-1811.12469"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-federated-learning-through-an-adversarial-lens-1811.12470</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-federated-learning-through-an-adversarial-lens-1811.12470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-federated-learning-through-an-adversarial-lens-1811.12470"/></url>
<url><loc>https://scifaro.com/en/abs/on-implicit-filter-level-sparsity-in-convolutional-neural-networks-1811.12495</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-implicit-filter-level-sparsity-in-convolutional-neural-networks-1811.12495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-implicit-filter-level-sparsity-in-convolutional-neural-networks-1811.12495"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-embedding-induced-text-clustering-a-non-parametric-bayesian-approach-1811.12500</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-embedding-induced-text-clustering-a-non-parametric-bayesian-approach-1811.12500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-embedding-induced-text-clustering-a-non-parametric-bayesian-approach-1811.12500"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-clinical-time-series-data-for-prediction-a-cautionary-tale-1811.12520</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-clinical-time-series-data-for-prediction-a-cautionary-tale-1811.12520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-clinical-time-series-data-for-prediction-a-cautionary-tale-1811.12520"/></url>
<url><loc>https://scifaro.com/en/abs/learning-finite-state-representations-of-recurrent-policy-networks-1811.12530</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-finite-state-representations-of-recurrent-policy-networks-1811.12530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-finite-state-representations-of-recurrent-policy-networks-1811.12530"/></url>
<url><loc>https://scifaro.com/en/abs/the-relevance-of-bayesian-layer-positioning-to-model-uncertainty-in-deep-bayesian-active-learning-1811.12535</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-relevance-of-bayesian-layer-positioning-to-model-uncertainty-in-deep-bayesian-active-learning-1811.12535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-relevance-of-bayesian-layer-positioning-to-model-uncertainty-in-deep-bayesian-active-learning-1811.12535"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-organize-your-deep-reinforcement-learning-agents-the-importance-of-communication-topology-1811.12556</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-organize-your-deep-reinforcement-learning-agents-the-importance-of-communication-topology-1811.12556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-organize-your-deep-reinforcement-learning-agents-the-importance-of-communication-topology-1811.12556"/></url>
<url><loc>https://scifaro.com/en/abs/an-introduction-to-deep-reinforcement-learning-1811.12560</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-introduction-to-deep-reinforcement-learning-1811.12560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-introduction-to-deep-reinforcement-learning-1811.12560"/></url>
<url><loc>https://scifaro.com/en/abs/eigenvalue-corrected-noisy-natural-gradient-1811.12565</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigenvalue-corrected-noisy-natural-gradient-1811.12565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigenvalue-corrected-noisy-natural-gradient-1811.12565"/></url>
<url><loc>https://scifaro.com/en/abs/are-all-training-examples-created-equal-an-empirical-study-1811.12569</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-all-training-examples-created-equal-an-empirical-study-1811.12569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-all-training-examples-created-equal-an-empirical-study-1811.12569"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-clinical-prediction-why-machine-learning-must-consider-year-of-care-and-feature-aggregation-1811.12583</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-clinical-prediction-why-machine-learning-must-consider-year-of-care-and-feature-aggregation-1811.12583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-clinical-prediction-why-machine-learning-must-consider-year-of-care-and-feature-aggregation-1811.12583"/></url>
<url><loc>https://scifaro.com/en/abs/time-aggregation-and-model-interpretation-for-deep-multivariate-longitudinal-patient-outcome-forecasting-systems-in-chronic-ambulatory-care-1811.12589</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-aggregation-and-model-interpretation-for-deep-multivariate-longitudinal-patient-outcome-forecasting-systems-in-chronic-ambulatory-care-1811.12589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-aggregation-and-model-interpretation-for-deep-multivariate-longitudinal-patient-outcome-forecasting-systems-in-chronic-ambulatory-care-1811.12589"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-in-recommendation-systems-with-multi-level-user-preferences-1811.12591</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-in-recommendation-systems-with-multi-level-user-preferences-1811.12591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-in-recommendation-systems-with-multi-level-user-preferences-1811.12591"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-as-an-input-fault-tolerance-problem-1811.12601</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-as-an-input-fault-tolerance-problem-1811.12601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-as-an-input-fault-tolerance-problem-1811.12601"/></url>
<url><loc>https://scifaro.com/en/abs/an-interpretable-model-with-globally-consistent-explanations-for-credit-risk-1811.12615</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-interpretable-model-with-globally-consistent-explanations-for-credit-risk-1811.12615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-interpretable-model-with-globally-consistent-explanations-for-credit-risk-1811.12615"/></url>
<url><loc>https://scifaro.com/en/abs/modality-based-factorization-for-multimodal-fusion-1811.12624</loc><lastmod>2023-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modality-based-factorization-for-multimodal-fusion-1811.12624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modality-based-factorization-for-multimodal-fusion-1811.12624"/></url>
<url><loc>https://scifaro.com/en/abs/loadaboost-loss-based-adaboost-federated-machine-learning-with-reduced-computational-complexity-on-iid-and-non-iid-intensive-care-data-1811.12629</loc><lastmod>2020-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loadaboost-loss-based-adaboost-federated-machine-learning-with-reduced-computational-complexity-on-iid-and-non-iid-intensive-care-data-1811.12629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loadaboost-loss-based-adaboost-federated-machine-learning-with-reduced-computational-complexity-on-iid-and-non-iid-intensive-care-data-1811.12629"/></url>
<url><loc>https://scifaro.com/en/abs/adsas-comprehensive-real-time-anomaly-detection-system-1811.12634</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adsas-comprehensive-real-time-anomaly-detection-system-1811.12634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adsas-comprehensive-real-time-anomaly-detection-system-1811.12634"/></url>
<url><loc>https://scifaro.com/en/abs/void-filling-of-digital-elevation-models-with-deep-generative-models-1811.12693</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/void-filling-of-digital-elevation-models-with-deep-generative-models-1811.12693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/void-filling-of-digital-elevation-models-with-deep-generative-models-1811.12693"/></url>
<url><loc>https://scifaro.com/en/abs/neural-separation-of-observed-and-unobserved-distributions-1811.12739</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-separation-of-observed-and-unobserved-distributions-1811.12739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-separation-of-observed-and-unobserved-distributions-1811.12739"/></url>
<url><loc>https://scifaro.com/en/abs/measure-manifold-learning-and-optimization-a-theory-of-neural-networks-1811.12783</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measure-manifold-learning-and-optimization-a-theory-of-neural-networks-1811.12783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measure-manifold-learning-and-optimization-a-theory-of-neural-networks-1811.12783"/></url>
<url><loc>https://scifaro.com/en/abs/generative-models-for-simulating-mobility-trajectories-1811.12801</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-models-for-simulating-mobility-trajectories-1811.12801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-models-for-simulating-mobility-trajectories-1811.12801"/></url>
<url><loc>https://scifaro.com/en/abs/model-evaluation-model-selection-and-algorithm-selection-in-machine-learning-1811.12808</loc><lastmod>2020-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-evaluation-model-selection-and-algorithm-selection-in-machine-learning-1811.12808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-evaluation-model-selection-and-algorithm-selection-in-machine-learning-1811.12808"/></url>
<url><loc>https://scifaro.com/en/abs/molecular-sets-moses-a-benchmarking-platform-for-molecular-generation-models-1811.12823</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molecular-sets-moses-a-benchmarking-platform-for-molecular-generation-models-1811.12823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molecular-sets-moses-a-benchmarking-platform-for-molecular-generation-models-1811.12823"/></url>
<url><loc>https://scifaro.com/en/abs/online-abstraction-with-mdp-homomorphisms-for-deep-learning-1811.12929</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-abstraction-with-mdp-homomorphisms-for-deep-learning-1811.12929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-abstraction-with-mdp-homomorphisms-for-deep-learning-1811.12929"/></url>
<url><loc>https://scifaro.com/en/abs/advance-prediction-of-ventricular-tachyarrhythmias-using-patient-metadata-and-multi-task-networks-1811.12938</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advance-prediction-of-ventricular-tachyarrhythmias-using-patient-metadata-and-multi-task-networks-1811.12938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advance-prediction-of-ventricular-tachyarrhythmias-using-patient-metadata-and-multi-task-networks-1811.12938"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-computational-inefficiency-of-large-batch-sizes-for-stochastic-gradient-descent-1811.12941</loc><lastmod>2018-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-computational-inefficiency-of-large-batch-sizes-for-stochastic-gradient-descent-1811.12941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-computational-inefficiency-of-large-batch-sizes-for-stochastic-gradient-descent-1811.12941"/></url>
<url><loc>https://scifaro.com/en/abs/modulated-policy-hierarchies-1812.00025</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modulated-policy-hierarchies-1812.00025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modulated-policy-hierarchies-1812.00025"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-with-glrm-feature-selection-reveals-novel-traumatic-brain-injury-phenotypes-1812.00030</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-with-glrm-feature-selection-reveals-novel-traumatic-brain-injury-phenotypes-1812.00030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-with-glrm-feature-selection-reveals-novel-traumatic-brain-injury-phenotypes-1812.00030"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-a-tiny-dataset-of-manual-annotations-a-teacher-student-approach-for-surgical-phase-recognition-1812.00033</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-a-tiny-dataset-of-manual-annotations-a-teacher-student-approach-for-surgical-phase-recognition-1812.00033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-a-tiny-dataset-of-manual-annotations-a-teacher-student-approach-for-surgical-phase-recognition-1812.00033"/></url>
<url><loc>https://scifaro.com/en/abs/using-monte-carlo-tree-search-as-a-demonstrator-within-asynchronous-deep-rl-1812.00045</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-monte-carlo-tree-search-as-a-demonstrator-within-asynchronous-deep-rl-1812.00045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-monte-carlo-tree-search-as-a-demonstrator-within-asynchronous-deep-rl-1812.00045"/></url>
<url><loc>https://scifaro.com/en/abs/learning-interpretable-rules-for-multi-label-classification-1812.00050</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-interpretable-rules-for-multi-label-classification-1812.00050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-interpretable-rules-for-multi-label-classification-1812.00050"/></url>
<url><loc>https://scifaro.com/en/abs/forward-modeling-for-partial-observation-strategy-games-a-starcraft-defogger-1812.00054</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forward-modeling-for-partial-observation-strategy-games-a-starcraft-defogger-1812.00054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forward-modeling-for-partial-observation-strategy-games-a-starcraft-defogger-1812.00054"/></url>
<url><loc>https://scifaro.com/en/abs/corresponding-projections-for-orphan-screening-1812.00058</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/corresponding-projections-for-orphan-screening-1812.00058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/corresponding-projections-for-orphan-screening-1812.00058"/></url>
<url><loc>https://scifaro.com/en/abs/gdpp-learning-diverse-generations-using-determinantal-point-process-1812.00068</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gdpp-learning-diverse-generations-using-determinantal-point-process-1812.00068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gdpp-learning-diverse-generations-using-determinantal-point-process-1812.00068"/></url>
<url><loc>https://scifaro.com/en/abs/graph-node-feature-convolution-for-representation-learning-1812.00086</loc><lastmod>2022-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-node-feature-convolution-for-representation-learning-1812.00086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-node-feature-convolution-for-representation-learning-1812.00086"/></url>
<url><loc>https://scifaro.com/en/abs/explore-exploit-a-framework-for-interactive-and-online-learning-1812.00116</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explore-exploit-a-framework-for-interactive-and-online-learning-1812.00116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explore-exploit-a-framework-for-interactive-and-online-learning-1812.00116"/></url>
<url><loc>https://scifaro.com/en/abs/number-of-connected-components-in-a-graph-estimation-via-counting-patterns-1812.00139</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/number-of-connected-components-in-a-graph-estimation-via-counting-patterns-1812.00139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/number-of-connected-components-in-a-graph-estimation-via-counting-patterns-1812.00139"/></url>
<url><loc>https://scifaro.com/en/abs/swishnet-a-fast-convolutional-neural-network-for-speech-music-and-noise-classification-and-segmentation-1812.00149</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/swishnet-a-fast-convolutional-neural-network-for-speech-music-and-noise-classification-and-segmentation-1812.00149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/swishnet-a-fast-convolutional-neural-network-for-speech-music-and-noise-classification-and-segmentation-1812.00149"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-adversarial-attacks-and-submodular-optimization-with-applications-to-text-classification-1812.00151</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-adversarial-attacks-and-submodular-optimization-with-applications-to-text-classification-1812.00151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-adversarial-attacks-and-submodular-optimization-with-applications-to-text-classification-1812.00151"/></url>
<url><loc>https://scifaro.com/en/abs/rank-projection-trees-for-multilevel-neural-network-interpretation-1812.00172</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-projection-trees-for-multilevel-neural-network-interpretation-1812.00172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-projection-trees-for-multilevel-neural-network-interpretation-1812.00172"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-training-of-residual-networks-a-differential-equation-viewpoint-1812.00174</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-training-of-residual-networks-a-differential-equation-viewpoint-1812.00174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-training-of-residual-networks-a-differential-equation-viewpoint-1812.00174"/></url>
<url><loc>https://scifaro.com/en/abs/effects-of-loss-functions-and-target-representations-on-adversarial-robustness-1812.00181</loc><lastmod>2020-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effects-of-loss-functions-and-target-representations-on-adversarial-robustness-1812.00181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effects-of-loss-functions-and-target-representations-on-adversarial-robustness-1812.00181"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-hierarchies-using-imitation-learning-from-hierarchy-aware-policies-1812.00225</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-hierarchies-using-imitation-learning-from-hierarchy-aware-policies-1812.00225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-hierarchies-using-imitation-learning-from-hierarchy-aware-policies-1812.00225"/></url>
<url><loc>https://scifaro.com/en/abs/on-compressing-u-net-using-knowledge-distillation-1812.00249</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-compressing-u-net-using-knowledge-distillation-1812.00249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-compressing-u-net-using-knowledge-distillation-1812.00249"/></url>
<url><loc>https://scifaro.com/en/abs/anythreat-an-opportunistic-knowledge-discovery-approach-to-insider-threat-detection-1812.00257</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anythreat-an-opportunistic-knowledge-discovery-approach-to-insider-threat-detection-1812.00257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anythreat-an-opportunistic-knowledge-discovery-approach-to-insider-threat-detection-1812.00257"/></url>
<url><loc>https://scifaro.com/en/abs/towards-gaussian-bayesian-network-fusion-1812.00262</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-gaussian-bayesian-network-fusion-1812.00262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-gaussian-bayesian-network-fusion-1812.00262"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-molecular-functional-groups-using-graph-convolutional-neural-networks-1812.00265</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-molecular-functional-groups-using-graph-convolutional-neural-networks-1812.00265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-molecular-functional-groups-using-graph-convolutional-neural-networks-1812.00265"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-measurement-scheduling-for-adverse-event-forecasting-using-deep-rl-1812.00268</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-measurement-scheduling-for-adverse-event-forecasting-using-deep-rl-1812.00268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-measurement-scheduling-for-adverse-event-forecasting-using-deep-rl-1812.00268"/></url>
<url><loc>https://scifaro.com/en/abs/cross-modulation-networks-for-few-shot-learning-1812.00273</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-modulation-networks-for-few-shot-learning-1812.00273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-modulation-networks-for-few-shot-learning-1812.00273"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-graph-convolutional-neural-networks-for-inference-on-noisy-knowledge-graphs-1812.00279</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-graph-convolutional-neural-networks-for-inference-on-noisy-knowledge-graphs-1812.00279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-graph-convolutional-neural-networks-for-inference-on-noisy-knowledge-graphs-1812.00279"/></url>
<url><loc>https://scifaro.com/en/abs/learning-curriculum-policies-for-reinforcement-learning-1812.00285</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-curriculum-policies-for-reinforcement-learning-1812.00285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-curriculum-policies-for-reinforcement-learning-1812.00285"/></url>
<url><loc>https://scifaro.com/en/abs/in-silico-risk-analysis-of-personalized-artificial-pancreas-controllers-via-rare-event-simulation-1812.00293</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-silico-risk-analysis-of-personalized-artificial-pancreas-controllers-via-rare-event-simulation-1812.00293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-silico-risk-analysis-of-personalized-artificial-pancreas-controllers-via-rare-event-simulation-1812.00293"/></url>
<url><loc>https://scifaro.com/en/abs/proxylessnas-direct-neural-architecture-search-on-target-task-and-hardware-1812.00332</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proxylessnas-direct-neural-architecture-search-on-target-task-and-hardware-1812.00332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proxylessnas-direct-neural-architecture-search-on-target-task-and-hardware-1812.00332"/></url>
<url><loc>https://scifaro.com/en/abs/gan-em-gan-based-em-learning-framework-1812.00335</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gan-em-gan-based-em-learning-framework-1812.00335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gan-em-gan-based-em-learning-framework-1812.00335"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-wasserstein-means-for-aligning-distributional-data-1812.00338</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-wasserstein-means-for-aligning-distributional-data-1812.00338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-wasserstein-means-for-aligning-distributional-data-1812.00338"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-on-gradient-propagation-in-batch-normalized-residual-networks-1812.00342</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-on-gradient-propagation-in-batch-normalized-residual-networks-1812.00342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-on-gradient-propagation-in-batch-normalized-residual-networks-1812.00342"/></url>
<url><loc>https://scifaro.com/en/abs/accelerate-cnn-via-recursive-bayesian-pruning-1812.00353</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerate-cnn-via-recursive-bayesian-pruning-1812.00353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerate-cnn-via-recursive-bayesian-pruning-1812.00353"/></url>
<url><loc>https://scifaro.com/en/abs/quick-best-action-identification-in-linear-bandit-problems-1812.00365</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quick-best-action-identification-in-linear-bandit-problems-1812.00365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quick-best-action-identification-in-linear-bandit-problems-1812.00365"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-inpatient-discharge-prioritization-with-electronic-health-records-1812.00371</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-inpatient-discharge-prioritization-with-electronic-health-records-1812.00371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-inpatient-discharge-prioritization-with-electronic-health-records-1812.00371"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-performance-of-neural-networks-and-gradient-boosting-models-approximating-microscopic-traffic-simulations-in-traffic-optimization-tasks-1812.00401</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-performance-of-neural-networks-and-gradient-boosting-models-approximating-microscopic-traffic-simulations-in-traffic-optimization-tasks-1812.00401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-performance-of-neural-networks-and-gradient-boosting-models-approximating-microscopic-traffic-simulations-in-traffic-optimization-tasks-1812.00401"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-based-on-unique-relevant-information-for-health-data-1812.00415</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-based-on-unique-relevant-information-for-health-data-1812.00415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-based-on-unique-relevant-information-for-health-data-1812.00415"/></url>
<url><loc>https://scifaro.com/en/abs/snorkel-drybell-a-case-study-in-deploying-weak-supervision-at-industrial-scale-1812.00417</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/snorkel-drybell-a-case-study-in-deploying-weak-supervision-at-industrial-scale-1812.00417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/snorkel-drybell-a-case-study-in-deploying-weak-supervision-at-industrial-scale-1812.00417"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-lifelong-learning-with-a-gem-1812.00420</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-lifelong-learning-with-a-gem-1812.00420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-lifelong-learning-with-a-gem-1812.00420"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-task-deep-learning-model-for-the-classification-of-age-related-macular-degeneration-1812.00422</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-task-deep-learning-model-for-the-classification-of-age-related-macular-degeneration-1812.00422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-task-deep-learning-model-for-the-classification-of-age-related-macular-degeneration-1812.00422"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-of-social-media-users-1812.00436</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-of-social-media-users-1812.00436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-of-social-media-users-1812.00436"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-the-softmax-bellman-operator-new-benefits-and-new-perspective-1812.00456</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-the-softmax-bellman-operator-new-benefits-and-new-perspective-1812.00456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-the-softmax-bellman-operator-new-benefits-and-new-perspective-1812.00456"/></url>
<url><loc>https://scifaro.com/en/abs/personalizing-intervention-probabilities-by-pooling-1812.00463</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalizing-intervention-probabilities-by-pooling-1812.00463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalizing-intervention-probabilities-by-pooling-1812.00463"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-instance-learning-for-ecg-risk-stratification-1812.00475</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-instance-learning-for-ecg-risk-stratification-1812.00475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-instance-learning-for-ecg-risk-stratification-1812.00475"/></url>
<url><loc>https://scifaro.com/en/abs/improving-clinical-predictions-through-unsupervised-time-series-representation-learning-1812.00490</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-clinical-predictions-through-unsupervised-time-series-representation-learning-1812.00490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-clinical-predictions-through-unsupervised-time-series-representation-learning-1812.00490"/></url>
<url><loc>https://scifaro.com/en/abs/using-multitask-learning-to-improve-12-lead-electrocardiogram-classification-1812.00497</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-multitask-learning-to-improve-12-lead-electrocardiogram-classification-1812.00497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-multitask-learning-to-improve-12-lead-electrocardiogram-classification-1812.00497"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-new-onset-diabetes-after-liver-transplant-1812.00506</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-new-onset-diabetes-after-liver-transplant-1812.00506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-new-onset-diabetes-after-liver-transplant-1812.00506"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-driven-generative-subspaces-for-modeling-multi-view-dependencies-in-medical-data-1812.00509</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-driven-generative-subspaces-for-modeling-multi-view-dependencies-in-medical-data-1812.00509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-driven-generative-subspaces-for-modeling-multi-view-dependencies-in-medical-data-1812.00509"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-in-anti-causal-learning-1812.00524</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-in-anti-causal-learning-1812.00524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-in-anti-causal-learning-1812.00524"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-disease-progression-in-longitudinal-ehr-data-using-continuous-time-hidden-markov-models-1812.00528</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-disease-progression-in-longitudinal-ehr-data-using-continuous-time-hidden-markov-models-1812.00528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-disease-progression-in-longitudinal-ehr-data-using-continuous-time-hidden-markov-models-1812.00528"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-irregularly-sampled-clinical-time-series-1812.00531</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-irregularly-sampled-clinical-time-series-1812.00531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-irregularly-sampled-clinical-time-series-1812.00531"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-inferring-class-representatives-user-level-privacy-leakage-from-federated-learning-1812.00535</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-inferring-class-representatives-user-level-privacy-leakage-from-federated-learning-1812.00535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-inferring-class-representatives-user-level-privacy-leakage-from-federated-learning-1812.00535"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-self-reminder-to-overcome-catastrophic-forgetting-1812.00543</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-self-reminder-to-overcome-catastrophic-forgetting-1812.00543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-self-reminder-to-overcome-catastrophic-forgetting-1812.00543"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-progression-and-clinical-subtypes-of-alzheimer-s-disease-from-longitudinal-clinical-data-1812.00546</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-progression-and-clinical-subtypes-of-alzheimer-s-disease-from-longitudinal-clinical-data-1812.00546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-progression-and-clinical-subtypes-of-alzheimer-s-disease-from-longitudinal-clinical-data-1812.00546"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-rare-disease-detection-using-generative-adversarial-network-1812.00547</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-rare-disease-detection-using-generative-adversarial-network-1812.00547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-rare-disease-detection-using-generative-adversarial-network-1812.00547"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-treatment-delays-for-patients-using-feature-label-pairs-in-a-time-series-1812.00554</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-treatment-delays-for-patients-using-feature-label-pairs-in-a-time-series-1812.00554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-treatment-delays-for-patients-using-feature-label-pairs-in-a-time-series-1812.00554"/></url>
<url><loc>https://scifaro.com/en/abs/split-learning-for-health-distributed-deep-learning-without-sharing-raw-patient-data-1812.00564</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/split-learning-for-health-distributed-deep-learning-without-sharing-raw-patient-data-1812.00564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/split-learning-for-health-distributed-deep-learning-without-sharing-raw-patient-data-1812.00564"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-approach-for-predicting-30-day-readmissions-after-coronary-artery-bypass-graft-surgery-1812.00596</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-approach-for-predicting-30-day-readmissions-after-coronary-artery-bypass-graft-surgery-1812.00596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-approach-for-predicting-30-day-readmissions-after-coronary-artery-bypass-graft-surgery-1812.00596"/></url>
<url><loc>https://scifaro.com/en/abs/resource-constrained-deep-reinforcement-learning-1812.00600</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resource-constrained-deep-reinforcement-learning-1812.00600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resource-constrained-deep-reinforcement-learning-1812.00600"/></url>
<url><loc>https://scifaro.com/en/abs/examining-deep-learning-architectures-for-crime-classification-and-prediction-1812.00602</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/examining-deep-learning-architectures-for-crime-classification-and-prediction-1812.00602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/examining-deep-learning-architectures-for-crime-classification-and-prediction-1812.00602"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-distillation-with-feature-maps-for-image-classification-1812.00660</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-distillation-with-feature-maps-for-image-classification-1812.00660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-distillation-with-feature-maps-for-image-classification-1812.00660"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-blood-pressure-response-to-fluid-bolus-therapy-using-attention-based-neural-networks-for-clinical-interpretability-1812.00699</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-blood-pressure-response-to-fluid-bolus-therapy-using-attention-based-neural-networks-for-clinical-interpretability-1812.00699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-blood-pressure-response-to-fluid-bolus-therapy-using-attention-based-neural-networks-for-clinical-interpretability-1812.00699"/></url>
<url><loc>https://scifaro.com/en/abs/care2vec-a-deep-learning-approach-for-the-classification-of-self-care-problems-in-physically-disabled-children-1812.00715</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/care2vec-a-deep-learning-approach-for-the-classification-of-self-care-problems-in-physically-disabled-children-1812.00715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/care2vec-a-deep-learning-approach-for-the-classification-of-self-care-problems-in-physically-disabled-children-1812.00715"/></url>
<url><loc>https://scifaro.com/en/abs/generating-material-maps-to-map-informal-settlements-1812.00786</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-material-maps-to-map-informal-settlements-1812.00786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-material-maps-to-map-informal-settlements-1812.00786"/></url>
<url><loc>https://scifaro.com/en/abs/simulated-tempering-langevin-monte-carlo-ii-an-improved-proof-using-soft-markov-chain-decomposition-1812.00793</loc><lastmod>2020-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulated-tempering-langevin-monte-carlo-ii-an-improved-proof-using-soft-markov-chain-decomposition-1812.00793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulated-tempering-langevin-monte-carlo-ii-an-improved-proof-using-soft-markov-chain-decomposition-1812.00793"/></url>
<url><loc>https://scifaro.com/en/abs/deep-inverse-optimization-1812.00804</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-inverse-optimization-1812.00804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-inverse-optimization-1812.00804"/></url>
<url><loc>https://scifaro.com/en/abs/mapping-informal-settlements-in-developing-countries-with-multi-resolution-multi-spectral-data-1812.00812</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mapping-informal-settlements-in-developing-countries-with-multi-resolution-multi-spectral-data-1812.00812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mapping-informal-settlements-in-developing-countries-with-multi-resolution-multi-spectral-data-1812.00812"/></url>
<url><loc>https://scifaro.com/en/abs/towards-solving-text-based-games-by-producing-adaptive-action-spaces-1812.00855</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-solving-text-based-games-by-producing-adaptive-action-spaces-1812.00855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-solving-text-based-games-by-producing-adaptive-action-spaces-1812.00855"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-noncompliant-bandits-1812.00856</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-noncompliant-bandits-1812.00856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-noncompliant-bandits-1812.00856"/></url>
<url><loc>https://scifaro.com/en/abs/generating-diverse-programs-with-instruction-conditioned-reinforced-adversarial-learning-1812.00898</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-diverse-programs-with-instruction-conditioned-reinforced-adversarial-learning-1812.00898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-diverse-programs-with-instruction-conditioned-reinforced-adversarial-learning-1812.00898"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-large-scale-knowledge-distillation-via-dynamic-importance-sampling-1812.00914</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-large-scale-knowledge-distillation-via-dynamic-importance-sampling-1812.00914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-large-scale-knowledge-distillation-via-dynamic-importance-sampling-1812.00914"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-deep-reinforcement-learning-with-extremely-noisy-observations-1812.00922</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-deep-reinforcement-learning-with-extremely-noisy-observations-1812.00922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-deep-reinforcement-learning-with-extremely-noisy-observations-1812.00922"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-self-imitation-learning-1812.00950</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-self-imitation-learning-1812.00950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-self-imitation-learning-1812.00950"/></url>
<url><loc>https://scifaro.com/en/abs/foldingzero-protein-folding-from-scratch-in-hydrophobic-polar-model-1812.00967</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/foldingzero-protein-folding-from-scratch-in-hydrophobic-polar-model-1812.00967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/foldingzero-protein-folding-from-scratch-in-hydrophobic-polar-model-1812.00967"/></url>
<url><loc>https://scifaro.com/en/abs/online-graph-adaptive-learning-with-scalability-and-privacy-1812.00974</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-graph-adaptive-learning-with-scalability-and-privacy-1812.00974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-graph-adaptive-learning-with-scalability-and-privacy-1812.00974"/></url>
<url><loc>https://scifaro.com/en/abs/structure-learning-using-forced-pruning-1812.00975</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-learning-using-forced-pruning-1812.00975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-learning-using-forced-pruning-1812.00975"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-intelligent-transportation-systems-1812.00979</loc><lastmod>2018-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-intelligent-transportation-systems-1812.00979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-intelligent-transportation-systems-1812.00979"/></url>
<url><loc>https://scifaro.com/en/abs/transferring-knowledge-across-learning-processes-1812.01054</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferring-knowledge-across-learning-processes-1812.01054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferring-knowledge-across-learning-processes-1812.01054"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-instance-based-transfer-learning-method-1812.01063</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-instance-based-transfer-learning-method-1812.01063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-instance-based-transfer-learning-method-1812.01063"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multimodal-graph-to-graph-translation-for-molecular-optimization-1812.01070</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multimodal-graph-to-graph-translation-for-molecular-optimization-1812.01070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multimodal-graph-to-graph-translation-for-molecular-optimization-1812.01070"/></url>
<url><loc>https://scifaro.com/en/abs/leaf-a-benchmark-for-federated-settings-1812.01097</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leaf-a-benchmark-for-federated-settings-1812.01097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leaf-a-benchmark-for-federated-settings-1812.01097"/></url>
<url><loc>https://scifaro.com/en/abs/torchproteinlibrary-a-computationally-efficient-differentiable-representation-of-protein-structure-1812.01108</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/torchproteinlibrary-a-computationally-efficient-differentiable-representation-of-protein-structure-1812.01108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/torchproteinlibrary-a-computationally-efficient-differentiable-representation-of-protein-structure-1812.01108"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-with-shift-invariant-structures-1812.01115</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-with-shift-invariant-structures-1812.01115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-with-shift-invariant-structures-1812.01115"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-planner-overfitting-in-model-based-reinforcement-learning-1812.01129</loc><lastmod>2020-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-planner-overfitting-in-model-based-reinforcement-learning-1812.01129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-planner-overfitting-in-model-based-reinforcement-learning-1812.01129"/></url>
<url><loc>https://scifaro.com/en/abs/pre-defined-sparse-neural-networks-with-hardware-acceleration-1812.01164</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pre-defined-sparse-neural-networks-with-hardware-acceleration-1812.01164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pre-defined-sparse-neural-networks-with-hardware-acceleration-1812.01164"/></url>
<url><loc>https://scifaro.com/en/abs/frame-revisited-an-interpretation-view-based-on-particle-evolution-1812.01186</loc><lastmod>2019-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frame-revisited-an-interpretation-view-based-on-particle-evolution-1812.01186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frame-revisited-an-interpretation-view-based-on-particle-evolution-1812.01186"/></url>
<url><loc>https://scifaro.com/en/abs/prototype-based-neural-network-layers-incorporating-vector-quantization-1812.01214</loc><lastmod>2019-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prototype-based-neural-network-layers-incorporating-vector-quantization-1812.01214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prototype-based-neural-network-layers-incorporating-vector-quantization-1812.01214"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-re-initialization-through-cyclical-batch-size-schedules-1812.01216</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-re-initialization-through-cyclical-batch-size-schedules-1812.01216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-re-initialization-through-cyclical-batch-size-schedules-1812.01216"/></url>
<url><loc>https://scifaro.com/en/abs/set-cross-entropy-likelihood-based-permutation-invariant-loss-function-for-probability-distributions-1812.01217</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/set-cross-entropy-likelihood-based-permutation-invariant-loss-function-for-probability-distributions-1812.01217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/set-cross-entropy-likelihood-based-permutation-invariant-loss-function-for-probability-distributions-1812.01217"/></url>
<url><loc>https://scifaro.com/en/abs/learning-vine-copula-models-for-synthetic-data-generation-1812.01226</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-vine-copula-models-for-synthetic-data-generation-1812.01226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-vine-copula-models-for-synthetic-data-generation-1812.01226"/></url>
<url><loc>https://scifaro.com/en/abs/bad-practices-in-evaluation-methodology-relevant-to-class-imbalanced-problems-1812.01388</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bad-practices-in-evaluation-methodology-relevant-to-class-imbalanced-problems-1812.01388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bad-practices-in-evaluation-methodology-relevant-to-class-imbalanced-problems-1812.01388"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-class-structured-dictionary-learning-method-using-discriminant-atom-selection-1812.01389</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-class-structured-dictionary-learning-method-using-discriminant-atom-selection-1812.01389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-class-structured-dictionary-learning-method-using-discriminant-atom-selection-1812.01389"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-classification-machine-learning-without-learning-1812.01410</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-classification-machine-learning-without-learning-1812.01410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-classification-machine-learning-without-learning-1812.01410"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-salt-deposits-segmentation-a-deep-learning-approach-1812.01429</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-salt-deposits-segmentation-a-deep-learning-approach-1812.01429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-salt-deposits-segmentation-a-deep-learning-approach-1812.01429"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-factorization-via-deep-learning-1812.01478</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-factorization-via-deep-learning-1812.01478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-factorization-via-deep-learning-1812.01478"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-distributed-deep-learning-for-clinical-data-1812.01484</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-distributed-deep-learning-for-clinical-data-1812.01484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-distributed-deep-learning-for-clinical-data-1812.01484"/></url>
<url><loc>https://scifaro.com/en/abs/hyperbolic-embeddings-for-learning-options-in-hierarchical-reinforcement-learning-1812.01487</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperbolic-embeddings-for-learning-options-in-hierarchical-reinforcement-learning-1812.01487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperbolic-embeddings-for-learning-options-in-hierarchical-reinforcement-learning-1812.01487"/></url>
<url><loc>https://scifaro.com/en/abs/natural-option-critic-1812.01488</loc><lastmod>2018-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-option-critic-1812.01488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-option-critic-1812.01488"/></url>
<url><loc>https://scifaro.com/en/abs/lscp-locally-selective-combination-in-parallel-outlier-ensembles-1812.01528</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lscp-locally-selective-combination-in-parallel-outlier-ensembles-1812.01528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lscp-locally-selective-combination-in-parallel-outlier-ensembles-1812.01528"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-by-soft-parameter-pruning-1812.01640</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-by-soft-parameter-pruning-1812.01640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-by-soft-parameter-pruning-1812.01640"/></url>
<url><loc>https://scifaro.com/en/abs/rigorous-agent-evaluation-an-adversarial-approach-to-uncover-catastrophic-failures-1812.01647</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rigorous-agent-evaluation-an-adversarial-approach-to-uncover-catastrophic-failures-1812.01647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rigorous-agent-evaluation-an-adversarial-approach-to-uncover-catastrophic-failures-1812.01647"/></url>
<url><loc>https://scifaro.com/en/abs/feed-forward-neural-networks-need-inductive-bias-to-learn-equality-relations-1812.01662</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feed-forward-neural-networks-need-inductive-bias-to-learn-equality-relations-1812.01662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feed-forward-neural-networks-need-inductive-bias-to-learn-equality-relations-1812.01662"/></url>
<url><loc>https://scifaro.com/en/abs/energy-efficient-hardware-for-on-device-cnn-inference-via-transfer-learning-1812.01672</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-efficient-hardware-for-on-device-cnn-inference-via-transfer-learning-1812.01672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-efficient-hardware-for-on-device-cnn-inference-via-transfer-learning-1812.01672"/></url>
<url><loc>https://scifaro.com/en/abs/learning-individualized-cardiovascular-responses-from-large-scale-wearable-sensors-data-1812.01696</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-individualized-cardiovascular-responses-from-large-scale-wearable-sensors-data-1812.01696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-individualized-cardiovascular-responses-from-large-scale-wearable-sensors-data-1812.01696"/></url>
<url><loc>https://scifaro.com/en/abs/learning-cheap-and-novel-flight-itineraries-1812.01735</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-cheap-and-novel-flight-itineraries-1812.01735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-cheap-and-novel-flight-itineraries-1812.01735"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-keyword-spotting-efficiency-on-neuromorphic-hardware-1812.01739</loc><lastmod>2019-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-keyword-spotting-efficiency-on-neuromorphic-hardware-1812.01739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-keyword-spotting-efficiency-on-neuromorphic-hardware-1812.01739"/></url>
<url><loc>https://scifaro.com/en/abs/robuststl-a-robust-seasonal-trend-decomposition-algorithm-for-long-time-series-1812.01767</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robuststl-a-robust-seasonal-trend-decomposition-algorithm-for-long-time-series-1812.01767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robuststl-a-robust-seasonal-trend-decomposition-algorithm-for-long-time-series-1812.01767"/></url>
<url><loc>https://scifaro.com/en/abs/ecc-platform-independent-energy-constrained-deep-neural-network-compression-via-a-bilinear-regression-model-1812.01803</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ecc-platform-independent-energy-constrained-deep-neural-network-compression-via-a-bilinear-regression-model-1812.01803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ecc-platform-independent-energy-constrained-deep-neural-network-compression-via-a-bilinear-regression-model-1812.01803"/></url>
<url><loc>https://scifaro.com/en/abs/random-spiking-and-systematic-evaluation-of-defenses-against-adversarial-examples-1812.01804</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-spiking-and-systematic-evaluation-of-defenses-against-adversarial-examples-1812.01804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-spiking-and-systematic-evaluation-of-defenses-against-adversarial-examples-1812.01804"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-sampling-is-preconditioned-stochastic-gradient-descent-on-zero-one-loss-1812.01815</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-sampling-is-preconditioned-stochastic-gradient-descent-on-zero-one-loss-1812.01815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-sampling-is-preconditioned-stochastic-gradient-descent-on-zero-one-loss-1812.01815"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-ensembles-and-transferability-in-adversarial-learning-1812.01821</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-ensembles-and-transferability-in-adversarial-learning-1812.01821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-ensembles-and-transferability-in-adversarial-learning-1812.01821"/></url>
<url><loc>https://scifaro.com/en/abs/few-sample-knowledge-distillation-for-efficient-network-compression-1812.01839</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-sample-knowledge-distillation-for-efficient-network-compression-1812.01839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-sample-knowledge-distillation-for-efficient-network-compression-1812.01839"/></url>
<url><loc>https://scifaro.com/en/abs/improving-similarity-search-with-high-dimensional-locality-sensitive-hashing-1812.01844</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-similarity-search-with-high-dimensional-locality-sensitive-hashing-1812.01844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-similarity-search-with-high-dimensional-locality-sensitive-hashing-1812.01844"/></url>
<url><loc>https://scifaro.com/en/abs/less-but-better-generalization-enhancement-of-ordinal-embedding-via-distributional-margin-1812.01939</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/less-but-better-generalization-enhancement-of-ordinal-embedding-via-distributional-margin-1812.01939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/less-but-better-generalization-enhancement-of-ordinal-embedding-via-distributional-margin-1812.01939"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-for-network-connection-logs-1812.01941</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-for-network-connection-logs-1812.01941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-for-network-connection-logs-1812.01941"/></url>
<url><loc>https://scifaro.com/en/abs/robust-ordinal-embedding-from-contaminated-relative-comparisons-1812.01945</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-ordinal-embedding-from-contaminated-relative-comparisons-1812.01945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-ordinal-embedding-from-contaminated-relative-comparisons-1812.01945"/></url>
<url><loc>https://scifaro.com/en/abs/training-competitive-binary-neural-networks-from-scratch-1812.01965</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-competitive-binary-neural-networks-from-scratch-1812.01965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-competitive-binary-neural-networks-from-scratch-1812.01965"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-feature-learning-architecture-with-multi-clustering-integration-rbm-1812.01967</loc><lastmod>2020-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-feature-learning-architecture-with-multi-clustering-integration-rbm-1812.01967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-feature-learning-architecture-with-multi-clustering-integration-rbm-1812.01967"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-model-for-finding-new-superconductors-1812.01995</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-model-for-finding-new-superconductors-1812.01995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-model-for-finding-new-superconductors-1812.01995"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-model-pruning-via-weight-dropping-away-and-back-1812.02035</loc><lastmod>2020-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-model-pruning-via-weight-dropping-away-and-back-1812.02035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-model-pruning-via-weight-dropping-away-and-back-1812.02035"/></url>
<url><loc>https://scifaro.com/en/abs/low-complexity-data-parallel-earth-mover-s-distance-approximations-1812.02091</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-complexity-data-parallel-earth-mover-s-distance-approximations-1812.02091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-complexity-data-parallel-earth-mover-s-distance-approximations-1812.02091"/></url>
<url><loc>https://scifaro.com/en/abs/the-effects-of-negative-adaptation-in-model-agnostic-meta-learning-1812.02159</loc><lastmod>2018-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effects-of-negative-adaptation-in-model-agnostic-meta-learning-1812.02159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effects-of-negative-adaptation-in-model-agnostic-meta-learning-1812.02159"/></url>
<url><loc>https://scifaro.com/en/abs/better-trees-an-empirical-study-on-hyperparameter-tuning-of-classification-decision-tree-induction-algorithms-1812.02207</loc><lastmod>2024-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-trees-an-empirical-study-on-hyperparameter-tuning-of-classification-decision-tree-induction-algorithms-1812.02207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-trees-an-empirical-study-on-hyperparameter-tuning-of-classification-decision-tree-induction-algorithms-1812.02207"/></url>
<url><loc>https://scifaro.com/en/abs/composing-entropic-policies-using-divergence-correction-1812.02216</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composing-entropic-policies-using-divergence-correction-1812.02216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composing-entropic-policies-using-divergence-correction-1812.02216"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-definition-of-disentangled-representations-1812.02230</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-definition-of-disentangled-representations-1812.02230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-definition-of-disentangled-representations-1812.02230"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-and-robust-machine-learning-for-real-world-systems-1812.02240</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-and-robust-machine-learning-for-real-world-systems-1812.02240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-and-robust-machine-learning-for-real-world-systems-1812.02240"/></url>
<url><loc>https://scifaro.com/en/abs/relative-entropy-regularized-policy-iteration-1812.02256</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-entropy-regularized-policy-iteration-1812.02256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-entropy-regularized-policy-iteration-1812.02256"/></url>
<url><loc>https://scifaro.com/en/abs/gadget-svm-a-gossip-based-sub-gradient-solver-for-linear-svms-1812.02261</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gadget-svm-a-gossip-based-sub-gradient-solver-for-linear-svms-1812.02261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gadget-svm-a-gossip-based-sub-gradient-solver-for-linear-svms-1812.02261"/></url>
<url><loc>https://scifaro.com/en/abs/teacher-student-compression-with-generative-adversarial-networks-1812.02271</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/teacher-student-compression-with-generative-adversarial-networks-1812.02271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/teacher-student-compression-with-generative-adversarial-networks-1812.02271"/></url>
<url><loc>https://scifaro.com/en/abs/generalizability-of-predictive-models-for-intensive-care-unit-patients-1812.02275</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizability-of-predictive-models-for-intensive-care-unit-patients-1812.02275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizability-of-predictive-models-for-intensive-care-unit-patients-1812.02275"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-learned-anomaly-detection-1812.02288</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-learned-anomaly-detection-1812.02288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-learned-anomaly-detection-1812.02288"/></url>
<url><loc>https://scifaro.com/en/abs/rdec-integrating-regularization-into-deep-embedded-clustering-for-imbalanced-datasets-1812.02293</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rdec-integrating-regularization-into-deep-embedded-clustering-for-imbalanced-datasets-1812.02293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rdec-integrating-regularization-into-deep-embedded-clustering-for-imbalanced-datasets-1812.02293"/></url>
<url><loc>https://scifaro.com/en/abs/a-case-study-influence-of-dimension-reduction-on-regression-trees-based-algorithms-predicting-aeronautics-loads-of-a-derivative-aircraft-1812.02310</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-case-study-influence-of-dimension-reduction-on-regression-trees-based-algorithms-predicting-aeronautics-loads-of-a-derivative-aircraft-1812.02310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-case-study-influence-of-dimension-reduction-on-regression-trees-based-algorithms-predicting-aeronautics-loads-of-a-derivative-aircraft-1812.02310"/></url>
<url><loc>https://scifaro.com/en/abs/layer-flexible-adaptive-computational-time-1812.02335</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layer-flexible-adaptive-computational-time-1812.02335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layer-flexible-adaptive-computational-time-1812.02335"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-augmented-investment-decisions-1812.02340</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-augmented-investment-decisions-1812.02340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-augmented-investment-decisions-1812.02340"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-generalization-in-reinforcement-learning-1812.02341</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-generalization-in-reinforcement-learning-1812.02341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-generalization-in-reinforcement-learning-1812.02341"/></url>
<url><loc>https://scifaro.com/en/abs/top-k-off-policy-correction-for-a-reinforce-recommender-system-1812.02353</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/top-k-off-policy-correction-for-a-reinforce-recommender-system-1812.02353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/top-k-off-policy-correction-for-a-reinforce-recommender-system-1812.02353"/></url>
<url><loc>https://scifaro.com/en/abs/dynnode2vec-scalable-dynamic-network-embedding-1812.02356</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynnode2vec-scalable-dynamic-network-embedding-1812.02356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynnode2vec-scalable-dynamic-network-embedding-1812.02356"/></url>
<url><loc>https://scifaro.com/en/abs/dnq-dynamic-network-quantization-1812.02375</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dnq-dynamic-network-quantization-1812.02375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dnq-dynamic-network-quantization-1812.02375"/></url>
<url><loc>https://scifaro.com/en/abs/time-discounting-convolution-for-event-sequences-with-ambiguous-timestamps-1812.02395</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-discounting-convolution-for-event-sequences-with-ambiguous-timestamps-1812.02395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-discounting-convolution-for-event-sequences-with-ambiguous-timestamps-1812.02395"/></url>
<url><loc>https://scifaro.com/en/abs/elastic-gossip-distributing-neural-network-training-using-gossip-like-protocols-1812.02407</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elastic-gossip-distributing-neural-network-training-using-gossip-like-protocols-1812.02407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elastic-gossip-distributing-neural-network-training-using-gossip-like-protocols-1812.02407"/></url>
<url><loc>https://scifaro.com/en/abs/pseudo-rehearsal-achieving-deep-reinforcement-learning-without-catastrophic-forgetting-1812.02464</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pseudo-rehearsal-achieving-deep-reinforcement-learning-without-catastrophic-forgetting-1812.02464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pseudo-rehearsal-achieving-deep-reinforcement-learning-without-catastrophic-forgetting-1812.02464"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-methods-based-on-statistical-leverage-scores-1812.02497</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-methods-based-on-statistical-leverage-scores-1812.02497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-methods-based-on-statistical-leverage-scores-1812.02497"/></url>
<url><loc>https://scifaro.com/en/abs/singular-values-for-relu-layers-1812.02566</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/singular-values-for-relu-layers-1812.02566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/singular-values-for-relu-layers-1812.02566"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-identity-rules-with-neural-networks-1812.02616</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-identity-rules-with-neural-networks-1812.02616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-identity-rules-with-neural-networks-1812.02616"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-neural-networks-with-transformed-input-based-on-robust-tensor-network-decomposition-1812.02622</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-neural-networks-with-transformed-input-based-on-robust-tensor-network-decomposition-1812.02622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-neural-networks-with-transformed-input-based-on-robust-tensor-network-decomposition-1812.02622"/></url>
<url><loc>https://scifaro.com/en/abs/active-deep-q-learning-with-demonstration-1812.02632</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-deep-q-learning-with-demonstration-1812.02632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-deep-q-learning-with-demonstration-1812.02632"/></url>
<url><loc>https://scifaro.com/en/abs/mma-training-direct-input-space-margin-maximization-through-adversarial-training-1812.02637</loc><lastmod>2020-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mma-training-direct-input-space-margin-maximization-through-adversarial-training-1812.02637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mma-training-direct-input-space-margin-maximization-through-adversarial-training-1812.02637"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-guarantees-of-deep-embedding-losses-under-label-noise-1812.02676</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-guarantees-of-deep-embedding-losses-under-label-noise-1812.02676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-guarantees-of-deep-embedding-losses-under-label-noise-1812.02676"/></url>
<url><loc>https://scifaro.com/en/abs/beta-vaes-can-retain-label-information-even-at-high-compression-1812.02682</loc><lastmod>2018-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beta-vaes-can-retain-label-information-even-at-high-compression-1812.02682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beta-vaes-can-retain-label-information-even-at-high-compression-1812.02682"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-maximum-entropy-exploration-1812.02690</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-maximum-entropy-exploration-1812.02690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-maximum-entropy-exploration-1812.02690"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-fair-learning-1812.02696</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-fair-learning-1812.02696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-fair-learning-1812.02696"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-design-circuits-1812.02734</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-design-circuits-1812.02734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-design-circuits-1812.02734"/></url>
<url><loc>https://scifaro.com/en/abs/on-configurable-defense-against-adversarial-example-attacks-1812.02737</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-configurable-defense-against-adversarial-example-attacks-1812.02737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-configurable-defense-against-adversarial-example-attacks-1812.02737"/></url>
<url><loc>https://scifaro.com/en/abs/improving-reconstruction-autoencoder-out-of-distribution-detection-with-mahalanobis-distance-1812.02765</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-reconstruction-autoencoder-out-of-distribution-detection-with-mahalanobis-distance-1812.02765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-reconstruction-autoencoder-out-of-distribution-detection-with-mahalanobis-distance-1812.02765"/></url>
<url><loc>https://scifaro.com/en/abs/embedding-reparameterization-procedure-for-manifold-valued-latent-variables-in-generative-models-1812.02769</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedding-reparameterization-procedure-for-manifold-valued-latent-variables-in-generative-models-1812.02769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedding-reparameterization-procedure-for-manifold-valued-latent-variables-in-generative-models-1812.02769"/></url>
<url><loc>https://scifaro.com/en/abs/finite-sample-analysis-for-decentralized-batch-multi-agent-reinforcement-learning-with-networked-agents-1812.02783</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-sample-analysis-for-decentralized-batch-multi-agent-reinforcement-learning-with-networked-agents-1812.02783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-sample-analysis-for-decentralized-batch-multi-agent-reinforcement-learning-with-networked-agents-1812.02783"/></url>
<url><loc>https://scifaro.com/en/abs/verification-of-deep-probabilistic-models-1812.02795</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/verification-of-deep-probabilistic-models-1812.02795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/verification-of-deep-probabilistic-models-1812.02795"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-classifications-of-coronary-artery-disease-1812.02828</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-classifications-of-coronary-artery-disease-1812.02828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-classifications-of-coronary-artery-disease-1812.02828"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-unsupervised-deep-domain-adaptation-1812.02849</loc><lastmod>2020-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-unsupervised-deep-domain-adaptation-1812.02849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-unsupervised-deep-domain-adaptation-1812.02849"/></url>
<url><loc>https://scifaro.com/en/abs/automatically-explaining-machine-learning-prediction-results-a-demonstration-on-type-2-diabetes-risk-prediction-1812.02852</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatically-explaining-machine-learning-prediction-results-a-demonstration-on-type-2-diabetes-risk-prediction-1812.02852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatically-explaining-machine-learning-prediction-results-a-demonstration-on-type-2-diabetes-risk-prediction-1812.02852"/></url>
<url><loc>https://scifaro.com/en/abs/progressive-sampling-based-bayesian-optimization-for-efficient-and-automatic-machine-learning-model-selection-1812.02855</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progressive-sampling-based-bayesian-optimization-for-efficient-and-automatic-machine-learning-model-selection-1812.02855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progressive-sampling-based-bayesian-optimization-for-efficient-and-automatic-machine-learning-model-selection-1812.02855"/></url>
<url><loc>https://scifaro.com/en/abs/eeg-classification-based-on-image-configuration-in-social-anxiety-disorder-1812.02865</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eeg-classification-based-on-image-configuration-in-social-anxiety-disorder-1812.02865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eeg-classification-based-on-image-configuration-in-social-anxiety-disorder-1812.02865"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-and-characterizing-generalization-in-deep-reinforcement-learning-1812.02868</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-and-characterizing-generalization-in-deep-reinforcement-learning-1812.02868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-and-characterizing-generalization-in-deep-reinforcement-learning-1812.02868"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-multilayer-optical-film-optimal-method-based-on-deep-q-learning-1812.02873</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-multilayer-optical-film-optimal-method-based-on-deep-q-learning-1812.02873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-multilayer-optical-film-optimal-method-based-on-deep-q-learning-1812.02873"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-regression-and-numerical-stability-regularization-1812.02885</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-regression-and-numerical-stability-regularization-1812.02885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-regression-and-numerical-stability-regularization-1812.02885"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-conjugate-gradients-for-scaling-synchronous-distributed-dnn-training-1812.02886</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-conjugate-gradients-for-scaling-synchronous-distributed-dnn-training-1812.02886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-conjugate-gradients-for-scaling-synchronous-distributed-dnn-training-1812.02886"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-deep-reinforcement-learning-without-exploration-1812.02900</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-deep-reinforcement-learning-without-exploration-1812.02900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-deep-reinforcement-learning-without-exploration-1812.02900"/></url>
<url><loc>https://scifaro.com/en/abs/applied-federated-learning-improving-google-keyboard-query-suggestions-1812.02903</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applied-federated-learning-improving-google-keyboard-query-suggestions-1812.02903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applied-federated-learning-improving-google-keyboard-query-suggestions-1812.02903"/></url>
<url><loc>https://scifaro.com/en/abs/local-distribution-in-neighborhood-for-classification-1812.02934</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-distribution-in-neighborhood-for-classification-1812.02934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-distribution-in-neighborhood-for-classification-1812.02934"/></url>
<url><loc>https://scifaro.com/en/abs/from-fair-decision-making-to-social-equality-1812.02952</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-fair-decision-making-to-social-equality-1812.02952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-fair-decision-making-to-social-equality-1812.02952"/></url>
<url><loc>https://scifaro.com/en/abs/lnemlc-label-network-embeddings-for-multi-label-classification-1812.02956</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lnemlc-label-network-embeddings-for-multi-label-classification-1812.02956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lnemlc-label-network-embeddings-for-multi-label-classification-1812.02956"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-and-decision-making-under-generalized-linear-model-with-high-dimensional-data-1812.02962</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-and-decision-making-under-generalized-linear-model-with-high-dimensional-data-1812.02962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-and-decision-making-under-generalized-linear-model-with-high-dimensional-data-1812.02962"/></url>
<url><loc>https://scifaro.com/en/abs/shufflenasnets-efficient-cnn-models-through-modified-efficient-neural-architecture-search-1812.02975</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shufflenasnets-efficient-cnn-models-through-modified-efficient-neural-architecture-search-1812.02975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shufflenasnets-efficient-cnn-models-through-modified-efficient-neural-architecture-search-1812.02975"/></url>
<url><loc>https://scifaro.com/en/abs/back-to-square-one-probabilistic-trajectory-forecasting-without-bells-and-whistles-1812.02984</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/back-to-square-one-probabilistic-trajectory-forecasting-without-bells-and-whistles-1812.02984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/back-to-square-one-probabilistic-trajectory-forecasting-without-bells-and-whistles-1812.02984"/></url>
<url><loc>https://scifaro.com/en/abs/a-biconvex-analysis-for-lasso-l1-reweighting-1812.02990</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-biconvex-analysis-for-lasso-l1-reweighting-1812.02990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-biconvex-analysis-for-lasso-l1-reweighting-1812.02990"/></url>
<url><loc>https://scifaro.com/en/abs/on-batch-orthogonalization-layers-1812.03049</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-batch-orthogonalization-layers-1812.03049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-batch-orthogonalization-layers-1812.03049"/></url>
<url><loc>https://scifaro.com/en/abs/combatting-adversarial-attacks-through-denoising-and-dimensionality-reduction-a-cascaded-autoencoder-approach-1812.03087</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combatting-adversarial-attacks-through-denoising-and-dimensionality-reduction-a-cascaded-autoencoder-approach-1812.03087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combatting-adversarial-attacks-through-denoising-and-dimensionality-reduction-a-cascaded-autoencoder-approach-1812.03087"/></url>
<url><loc>https://scifaro.com/en/abs/deep-variational-transfer-transfer-learning-through-semi-supervised-deep-generative-models-1812.03123</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-variational-transfer-transfer-learning-through-semi-supervised-deep-generative-models-1812.03123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-variational-transfer-transfer-learning-through-semi-supervised-deep-generative-models-1812.03123"/></url>
<url><loc>https://scifaro.com/en/abs/playing-with-and-against-hedge-1812.03131</loc><lastmod>2018-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/playing-with-and-against-hedge-1812.03131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/playing-with-and-against-hedge-1812.03131"/></url>
<url><loc>https://scifaro.com/en/abs/metcc-metric-learning-for-confounder-control-making-distance-matter-in-high-dimensional-biological-analysis-1812.03188</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metcc-metric-learning-for-confounder-control-making-distance-matter-in-high-dimensional-biological-analysis-1812.03188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metcc-metric-learning-for-confounder-control-making-distance-matter-in-high-dimensional-biological-analysis-1812.03188"/></url>
<url><loc>https://scifaro.com/en/abs/deep-rbf-networks-revisited-robust-classification-with-rejection-1812.03190</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-rbf-networks-revisited-robust-classification-with-rejection-1812.03190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-rbf-networks-revisited-robust-classification-with-rejection-1812.03190"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-deep-reinforcement-learning-driving-policy-transfer-for-autonomous-vehicles-based-on-robust-control-1812.03216</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-deep-reinforcement-learning-driving-policy-transfer-for-autonomous-vehicles-based-on-robust-control-1812.03216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-deep-reinforcement-learning-driving-policy-transfer-for-autonomous-vehicles-based-on-robust-control-1812.03216"/></url>
<url><loc>https://scifaro.com/en/abs/phenotype-inference-with-semi-supervised-mixed-membership-models-1812.03222</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phenotype-inference-with-semi-supervised-mixed-membership-models-1812.03222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phenotype-inference-with-semi-supervised-mixed-membership-models-1812.03222"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-approach-to-privacy-preserving-federated-learning-1812.03224</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-approach-to-privacy-preserving-federated-learning-1812.03224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-approach-to-privacy-preserving-federated-learning-1812.03224"/></url>
<url><loc>https://scifaro.com/en/abs/improved-knowledge-graph-embedding-using-background-taxonomic-information-1812.03235</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-knowledge-graph-embedding-using-background-taxonomic-information-1812.03235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-knowledge-graph-embedding-using-background-taxonomic-information-1812.03235"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-policy-gradient-methods-for-distributed-reinforcement-learning-1812.03239</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-policy-gradient-methods-for-distributed-reinforcement-learning-1812.03239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-policy-gradient-methods-for-distributed-reinforcement-learning-1812.03239"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactuals-uncover-the-modular-structure-of-deep-generative-models-1812.03253</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactuals-uncover-the-modular-structure-of-deep-generative-models-1812.03253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactuals-uncover-the-modular-structure-of-deep-generative-models-1812.03253"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-batch-normalization-towards-accelerating-deep-neural-networks-1812.03271</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-batch-normalization-towards-accelerating-deep-neural-networks-1812.03271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-batch-normalization-towards-accelerating-deep-neural-networks-1812.03271"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-based-bayesian-inference-with-gradient-uncertainty-1812.03285</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-based-bayesian-inference-with-gradient-uncertainty-1812.03285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-based-bayesian-inference-with-gradient-uncertainty-1812.03285"/></url>
<url><loc>https://scifaro.com/en/abs/no-peek-a-survey-of-private-distributed-deep-learning-1812.03288</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-peek-a-survey-of-private-distributed-deep-learning-1812.03288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-peek-a-survey-of-private-distributed-deep-learning-1812.03288"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-based-remaining-useful-life-prediction-approach-for-bearings-1812.03315</loc><lastmod>2022-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-based-remaining-useful-life-prediction-approach-for-bearings-1812.03315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-based-remaining-useful-life-prediction-approach-for-bearings-1812.03315"/></url>
<url><loc>https://scifaro.com/en/abs/secure-federated-transfer-learning-1812.03337</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secure-federated-transfer-learning-1812.03337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secure-federated-transfer-learning-1812.03337"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-and-calibrated-ensemble-learning-with-dependent-tail-free-process-1812.03350</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-and-calibrated-ensemble-learning-with-dependent-tail-free-process-1812.03350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-and-calibrated-ensemble-learning-with-dependent-tail-free-process-1812.03350"/></url>
<url><loc>https://scifaro.com/en/abs/multi-dimensional-scaling-on-groups-1812.03362</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-dimensional-scaling-on-groups-1812.03362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-dimensional-scaling-on-groups-1812.03362"/></url>
<url><loc>https://scifaro.com/en/abs/what-is-the-effect-of-importance-weighting-in-deep-learning-1812.03372</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-is-the-effect-of-importance-weighting-in-deep-learning-1812.03372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-is-the-effect-of-importance-weighting-in-deep-learning-1812.03372"/></url>
<url><loc>https://scifaro.com/en/abs/learning-montezuma-s-revenge-from-a-single-demonstration-1812.03381</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-montezuma-s-revenge-from-a-single-demonstration-1812.03381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-montezuma-s-revenge-from-a-single-demonstration-1812.03381"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graph-representation-via-formal-concept-analysis-1812.03395</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graph-representation-via-formal-concept-analysis-1812.03395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graph-representation-via-formal-concept-analysis-1812.03395"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-transfer-learning-and-online-adaptation-with-latent-variable-models-for-continuous-control-1812.03399</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-transfer-learning-and-online-adaptation-with-latent-variable-models-for-continuous-control-1812.03399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-transfer-learning-and-online-adaptation-with-latent-variable-models-for-continuous-control-1812.03399"/></url>
<url><loc>https://scifaro.com/en/abs/autogan-robust-classifier-against-adversarial-attacks-1812.03405</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autogan-robust-classifier-against-adversarial-attacks-1812.03405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autogan-robust-classifier-against-adversarial-attacks-1812.03405"/></url>
<url><loc>https://scifaro.com/en/abs/binary-input-layer-training-of-cnn-models-with-binary-input-data-1812.03410</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-input-layer-training-of-cnn-models-with-binary-input-data-1812.03410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-input-layer-training-of-cnn-models-with-binary-input-data-1812.03410"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multiplication-free-linear-transformations-1812.03412</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multiplication-free-linear-transformations-1812.03412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multiplication-free-linear-transformations-1812.03412"/></url>
<url><loc>https://scifaro.com/en/abs/zero-initialization-of-modified-gated-recurrent-encoder-decoder-network-for-short-term-load-forecasting-1812.03425</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-initialization-of-modified-gated-recurrent-encoder-decoder-network-for-short-term-load-forecasting-1812.03425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-initialization-of-modified-gated-recurrent-encoder-decoder-network-for-short-term-load-forecasting-1812.03425"/></url>
<url><loc>https://scifaro.com/en/abs/towards-neural-network-patching-evaluating-engagement-layers-and-patch-architectures-1812.03468</loc><lastmod>2019-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-neural-network-patching-evaluating-engagement-layers-and-patch-architectures-1812.03468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-neural-network-patching-evaluating-engagement-layers-and-patch-architectures-1812.03468"/></url>
<url><loc>https://scifaro.com/en/abs/a-matching-based-clustering-algorithm-for-categorical-data-1812.03469</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-matching-based-clustering-algorithm-for-categorical-data-1812.03469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-matching-based-clustering-algorithm-for-categorical-data-1812.03469"/></url>
<url><loc>https://scifaro.com/en/abs/theory-of-curriculum-learning-with-convex-loss-functions-1812.03472</loc><lastmod>2023-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-of-curriculum-learning-with-convex-loss-functions-1812.03472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-of-curriculum-learning-with-convex-loss-functions-1812.03472"/></url>
<url><loc>https://scifaro.com/en/abs/to-reverse-the-gradient-or-not-an-empirical-comparison-of-adversarial-and-multi-task-learning-in-speech-recognition-1812.03483</loc><lastmod>2019-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-reverse-the-gradient-or-not-an-empirical-comparison-of-adversarial-and-multi-task-learning-in-speech-recognition-1812.03483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-reverse-the-gradient-or-not-an-empirical-comparison-of-adversarial-and-multi-task-learning-in-speech-recognition-1812.03483"/></url>
<url><loc>https://scifaro.com/en/abs/deep-net-deep-neural-network-for-cyber-security-use-cases-1812.03519</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-net-deep-neural-network-for-cyber-security-use-cases-1812.03519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-net-deep-neural-network-for-cyber-security-use-cases-1812.03519"/></url>
<url><loc>https://scifaro.com/en/abs/the-gap-between-model-based-and-model-free-methods-on-the-linear-quadratic-regulator-an-asymptotic-viewpoint-1812.03565</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-gap-between-model-based-and-model-free-methods-on-the-linear-quadratic-regulator-an-asymptotic-viewpoint-1812.03565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-gap-between-model-based-and-model-free-methods-on-the-linear-quadratic-regulator-an-asymptotic-viewpoint-1812.03565"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-learning-via-embedding-adaptation-with-set-to-set-functions-1812.03664</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-learning-via-embedding-adaptation-with-set-to-set-functions-1812.03664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-learning-via-embedding-adaptation-with-set-to-set-functions-1812.03664"/></url>
<url><loc>https://scifaro.com/en/abs/guided-graph-spectral-embedding-application-to-the-c-elegans-connectome-1812.03684</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guided-graph-spectral-embedding-application-to-the-c-elegans-connectome-1812.03684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guided-graph-spectral-embedding-application-to-the-c-elegans-connectome-1812.03684"/></url>
<url><loc>https://scifaro.com/en/abs/taxi-demand-supply-forecasting-impact-of-spatial-partitioning-on-the-performance-of-neural-networks-1812.03699</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taxi-demand-supply-forecasting-impact-of-spatial-partitioning-on-the-performance-of-neural-networks-1812.03699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taxi-demand-supply-forecasting-impact-of-spatial-partitioning-on-the-performance-of-neural-networks-1812.03699"/></url>
<url><loc>https://scifaro.com/en/abs/ramp-based-twin-support-vector-clustering-1812.03710</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ramp-based-twin-support-vector-clustering-1812.03710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ramp-based-twin-support-vector-clustering-1812.03710"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-bipartite-graph-convolution-networks-1812.03813</loc><lastmod>2018-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-bipartite-graph-convolution-networks-1812.03813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-bipartite-graph-convolution-networks-1812.03813"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-training-of-word-embeddings-for-large-text-corpora-1812.03825</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-training-of-word-embeddings-for-large-text-corpora-1812.03825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-training-of-word-embeddings-for-large-text-corpora-1812.03825"/></url>
<url><loc>https://scifaro.com/en/abs/the-particle-track-reconstruction-based-on-deep-learning-neural-networks-1812.03859</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-particle-track-reconstruction-based-on-deep-learning-neural-networks-1812.03859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-particle-track-reconstruction-based-on-deep-learning-neural-networks-1812.03859"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-by-architecture-a-deep-prior-approach-for-inverse-problems-1812.03889</loc><lastmod>2020-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-by-architecture-a-deep-prior-approach-for-inverse-problems-1812.03889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-by-architecture-a-deep-prior-approach-for-inverse-problems-1812.03889"/></url>
<url><loc>https://scifaro.com/en/abs/non-intrusive-load-monitoring-with-fully-convolutional-networks-1812.03915</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-intrusive-load-monitoring-with-fully-convolutional-networks-1812.03915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-intrusive-load-monitoring-with-fully-convolutional-networks-1812.03915"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-of-sets-through-optimized-permutations-1812.03928</loc><lastmod>2019-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-of-sets-through-optimized-permutations-1812.03928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-of-sets-through-optimized-permutations-1812.03928"/></url>
<url><loc>https://scifaro.com/en/abs/improving-model-based-control-and-active-exploration-with-reconstruction-uncertainty-optimization-1812.03955</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-model-based-control-and-active-exploration-with-reconstruction-uncertainty-optimization-1812.03955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-model-based-control-and-active-exploration-with-reconstruction-uncertainty-optimization-1812.03955"/></url>
<url><loc>https://scifaro.com/en/abs/guided-dropout-1812.03965</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guided-dropout-1812.03965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guided-dropout-1812.03965"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-layers-a-module-for-neural-network-uncertainty-1812.03973</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-layers-a-module-for-neural-network-uncertainty-1812.03973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-layers-a-module-for-neural-network-uncertainty-1812.03973"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-analysis-of-auto-rate-tuning-by-batch-normalization-1812.03981</loc><lastmod>2018-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-analysis-of-auto-rate-tuning-by-batch-normalization-1812.03981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-analysis-of-auto-rate-tuning-by-batch-normalization-1812.03981"/></url>
<url><loc>https://scifaro.com/en/abs/individual-fairness-in-hindsight-1812.04069</loc><lastmod>2023-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/individual-fairness-in-hindsight-1812.04069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/individual-fairness-in-hindsight-1812.04069"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sharing-behaviors-with-arbitrary-numbers-of-agents-1812.04145</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sharing-behaviors-with-arbitrary-numbers-of-agents-1812.04145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sharing-behaviors-with-arbitrary-numbers-of-agents-1812.04145"/></url>
<url><loc>https://scifaro.com/en/abs/duelling-bandits-with-weak-regret-in-adversarial-environments-1812.04152</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/duelling-bandits-with-weak-regret-in-adversarial-environments-1812.04152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/duelling-bandits-with-weak-regret-in-adversarial-environments-1812.04152"/></url>
<url><loc>https://scifaro.com/en/abs/vision-based-navigation-with-language-based-assistance-via-imitation-learning-with-indirect-intervention-1812.04155</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vision-based-navigation-with-language-based-assistance-via-imitation-learning-with-indirect-intervention-1812.04155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vision-based-navigation-with-language-based-assistance-via-imitation-learning-with-indirect-intervention-1812.04155"/></url>
<url><loc>https://scifaro.com/en/abs/kf-lax-kronecker-factored-curvature-estimation-for-control-variate-optimization-in-reinforcement-learning-1812.04181</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kf-lax-kronecker-factored-curvature-estimation-for-control-variate-optimization-in-reinforcement-learning-1812.04181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kf-lax-kronecker-factored-curvature-estimation-for-control-variate-optimization-in-reinforcement-learning-1812.04181"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-on-graphs-a-survey-1812.04202</loc><lastmod>2020-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-on-graphs-a-survey-1812.04202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-on-graphs-a-survey-1812.04202"/></url>
<url><loc>https://scifaro.com/en/abs/new-approaches-to-inverse-structural-modification-theory-using-random-projections-1812.04214</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-approaches-to-inverse-structural-modification-theory-using-random-projections-1812.04214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-approaches-to-inverse-structural-modification-theory-using-random-projections-1812.04214"/></url>
<url><loc>https://scifaro.com/en/abs/learning-controllable-fair-representations-1812.04218</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-controllable-fair-representations-1812.04218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-controllable-fair-representations-1812.04218"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-dimensionality-of-word-embedding-1812.04224</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-dimensionality-of-word-embedding-1812.04224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-dimensionality-of-word-embedding-1812.04224"/></url>
<url><loc>https://scifaro.com/en/abs/learning-what-to-remember-long-term-episodic-memory-networks-for-learning-from-streaming-data-1812.04227</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-what-to-remember-long-term-episodic-memory-networks-for-learning-from-streaming-data-1812.04227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-what-to-remember-long-term-episodic-memory-networks-for-learning-from-streaming-data-1812.04227"/></url>
<url><loc>https://scifaro.com/en/abs/deep-density-based-image-clustering-1812.04287</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-density-based-image-clustering-1812.04287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-density-based-image-clustering-1812.04287"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-autoencoders-with-constant-curvature-latent-manifolds-1812.04314</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-autoencoders-with-constant-curvature-latent-manifolds-1812.04314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-autoencoders-with-constant-curvature-latent-manifolds-1812.04314"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-model-free-reinforcement-learning-using-gaussian-process-1812.04359</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-model-free-reinforcement-learning-using-gaussian-process-1812.04359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-model-free-reinforcement-learning-using-gaussian-process-1812.04359"/></url>
<url><loc>https://scifaro.com/en/abs/exploration-bonus-for-regret-minimization-in-undiscounted-discrete-and-continuous-markov-decision-processes-1812.04363</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploration-bonus-for-regret-minimization-in-undiscounted-discrete-and-continuous-markov-decision-processes-1812.04363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploration-bonus-for-regret-minimization-in-undiscounted-discrete-and-continuous-markov-decision-processes-1812.04363"/></url>
<url><loc>https://scifaro.com/en/abs/pde-net-2-0-learning-pdes-from-data-with-a-numeric-symbolic-hybrid-deep-network-1812.04426</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pde-net-2-0-learning-pdes-from-data-with-a-numeric-symbolic-hybrid-deep-network-1812.04426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pde-net-2-0-learning-pdes-from-data-with-a-numeric-symbolic-hybrid-deep-network-1812.04426"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-of-smooth-probability-functions-from-bernoulli-tests-with-guarantees-1812.04428</loc><lastmod>2019-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-of-smooth-probability-functions-from-bernoulli-tests-with-guarantees-1812.04428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-of-smooth-probability-functions-from-bernoulli-tests-with-guarantees-1812.04428"/></url>
<url><loc>https://scifaro.com/en/abs/synergy-effect-between-convolutional-neural-networks-and-the-multiplicity-of-smiles-for-improvement-of-molecular-prediction-1812.04439</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synergy-effect-between-convolutional-neural-networks-and-the-multiplicity-of-smiles-for-improvement-of-molecular-prediction-1812.04439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synergy-effect-between-convolutional-neural-networks-and-the-multiplicity-of-smiles-for-improvement-of-molecular-prediction-1812.04439"/></url>
<url><loc>https://scifaro.com/en/abs/data-strategies-for-fleetwide-predictive-maintenance-1812.04446</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-strategies-for-fleetwide-predictive-maintenance-1812.04446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-strategies-for-fleetwide-predictive-maintenance-1812.04446"/></url>
<url><loc>https://scifaro.com/en/abs/seq2graph-discovering-dynamic-dependencies-from-multivariate-time-series-with-multi-level-attention-1812.04448</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seq2graph-discovering-dynamic-dependencies-from-multivariate-time-series-with-multi-level-attention-1812.04448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seq2graph-discovering-dynamic-dependencies-from-multivariate-time-series-with-multi-level-attention-1812.04448"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-dual-graph-regularized-dictionary-learning-1812.04456</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-dual-graph-regularized-dictionary-learning-1812.04456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-dual-graph-regularized-dictionary-learning-1812.04456"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-distribution-feeder-long-term-load-forecasting-method-based-on-sequence-prediction-1812.04480</loc><lastmod>2020-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-distribution-feeder-long-term-load-forecasting-method-based-on-sequence-prediction-1812.04480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-distribution-feeder-long-term-load-forecasting-method-based-on-sequence-prediction-1812.04480"/></url>
<url><loc>https://scifaro.com/en/abs/trade-selection-with-supervised-learning-and-oca-1812.04486</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trade-selection-with-supervised-learning-and-oca-1812.04486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trade-selection-with-supervised-learning-and-oca-1812.04486"/></url>
<url><loc>https://scifaro.com/en/abs/the-impact-of-quantity-of-training-data-on-recognition-of-eating-gestures-1812.04513</loc><lastmod>2018-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-impact-of-quantity-of-training-data-on-recognition-of-eating-gestures-1812.04513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-impact-of-quantity-of-training-data-on-recognition-of-eating-gestures-1812.04513"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-ineffectiveness-of-variance-reduced-optimization-for-deep-learning-1812.04529</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-ineffectiveness-of-variance-reduced-optimization-for-deep-learning-1812.04529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-ineffectiveness-of-variance-reduced-optimization-for-deep-learning-1812.04529"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-covariate-shift-using-balanced-normalization-of-weights-1812.04549</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-covariate-shift-using-balanced-normalization-of-weights-1812.04549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-covariate-shift-using-balanced-normalization-of-weights-1812.04549"/></url>
<url><loc>https://scifaro.com/en/abs/deep-anomaly-detection-with-outlier-exposure-1812.04606</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-anomaly-detection-with-outlier-exposure-1812.04606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-anomaly-detection-with-outlier-exposure-1812.04606"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-curved-geometry-of-accelerated-optimization-1812.04634</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-curved-geometry-of-accelerated-optimization-1812.04634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-curved-geometry-of-accelerated-optimization-1812.04634"/></url>
<url><loc>https://scifaro.com/en/abs/reproduction-report-on-learn-to-pay-attention-1812.04650</loc><lastmod>2018-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reproduction-report-on-learn-to-pay-attention-1812.04650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reproduction-report-on-learn-to-pay-attention-1812.04650"/></url>
<url><loc>https://scifaro.com/en/abs/ecg-arrhythmia-classification-using-transfer-learning-from-2-dimensional-deep-cnn-features-1812.04693</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ecg-arrhythmia-classification-using-transfer-learning-from-2-dimensional-deep-cnn-features-1812.04693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ecg-arrhythmia-classification-using-transfer-learning-from-2-dimensional-deep-cnn-features-1812.04693"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-generation-using-generative-adversarial-networks-in-host-based-intrusion-detection-1812.04697</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-generation-using-generative-adversarial-networks-in-host-based-intrusion-detection-1812.04697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-generation-using-generative-adversarial-networks-in-host-based-intrusion-detection-1812.04697"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-networks-for-recovering-missing-spectral-information-1812.04744</loc><lastmod>2018-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-recovering-missing-spectral-information-1812.04744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-recovering-missing-spectral-information-1812.04744"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-happens-in-a-tiny-subspace-1812.04754</loc><lastmod>2018-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-happens-in-a-tiny-subspace-1812.04754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-happens-in-a-tiny-subspace-1812.04754"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-the-generalization-gap-training-robust-models-on-confounded-biological-data-1812.04778</loc><lastmod>2018-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-the-generalization-gap-training-robust-models-on-confounded-biological-data-1812.04778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-the-generalization-gap-training-robust-models-on-confounded-biological-data-1812.04778"/></url>
<url><loc>https://scifaro.com/en/abs/deep-air-quality-forecasting-using-hybrid-deep-learning-framework-1812.04783</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-air-quality-forecasting-using-hybrid-deep-learning-framework-1812.04783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-air-quality-forecasting-using-hybrid-deep-learning-framework-1812.04783"/></url>
<url><loc>https://scifaro.com/en/abs/a-tensor-based-structural-health-monitoring-approach-for-aeroservoelastic-systems-1812.04845</loc><lastmod>2018-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tensor-based-structural-health-monitoring-approach-for-aeroservoelastic-systems-1812.04845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tensor-based-structural-health-monitoring-approach-for-aeroservoelastic-systems-1812.04845"/></url>
<url><loc>https://scifaro.com/en/abs/easicsdeep-a-deep-learning-model-for-cervical-spondylosis-identification-using-surface-electromyography-signal-1812.04912</loc><lastmod>2018-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/easicsdeep-a-deep-learning-model-for-cervical-spondylosis-identification-using-surface-electromyography-signal-1812.04912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/easicsdeep-a-deep-learning-model-for-cervical-spondylosis-identification-using-surface-electromyography-signal-1812.04912"/></url>
<url><loc>https://scifaro.com/en/abs/thwarting-adversarial-examples-an-l-0-robustsparse-fourier-transform-1812.05013</loc><lastmod>2018-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thwarting-adversarial-examples-an-l-0-robustsparse-fourier-transform-1812.05013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thwarting-adversarial-examples-an-l-0-robustsparse-fourier-transform-1812.05013"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-using-representation-learning-in-massive-open-online-courses-1812.05043</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-using-representation-learning-in-massive-open-online-courses-1812.05043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-using-representation-learning-in-massive-open-online-courses-1812.05043"/></url>
<url><loc>https://scifaro.com/en/abs/effective-feature-learning-with-unsupervised-learning-for-improving-the-predictive-models-in-massive-open-online-courses-1812.05044</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-feature-learning-with-unsupervised-learning-for-improving-the-predictive-models-in-massive-open-online-courses-1812.05044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-feature-learning-with-unsupervised-learning-for-improving-the-predictive-models-in-massive-open-online-courses-1812.05044"/></url>
<url><loc>https://scifaro.com/en/abs/recent-advances-in-autoencoder-based-representation-learning-1812.05069</loc><lastmod>2018-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recent-advances-in-autoencoder-based-representation-learning-1812.05069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recent-advances-in-autoencoder-based-representation-learning-1812.05069"/></url>
<url><loc>https://scifaro.com/en/abs/building-computational-models-to-predict-one-year-mortality-in-icu-patients-with-acute-myocardial-infarction-and-post-myocardial-infarction-syndrome-1812.05072</loc><lastmod>2018-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-computational-models-to-predict-one-year-mortality-in-icu-patients-with-acute-myocardial-infarction-and-post-myocardial-infarction-syndrome-1812.05072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-computational-models-to-predict-one-year-mortality-in-icu-patients-with-acute-myocardial-infarction-and-post-myocardial-infarction-syndrome-1812.05072"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-of-example-forgetting-during-deep-neural-network-learning-1812.05159</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-of-example-forgetting-during-deep-neural-network-learning-1812.05159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-of-example-forgetting-during-deep-neural-network-learning-1812.05159"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-graph-neural-processes-a-functional-autoencoder-approach-1812.05212</loc><lastmod>2018-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-graph-neural-processes-a-functional-autoencoder-approach-1812.05212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-graph-neural-processes-a-functional-autoencoder-approach-1812.05212"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-learn-from-noisy-labeled-data-1812.05214</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-learn-from-noisy-labeled-data-1812.05214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-learn-from-noisy-labeled-data-1812.05214"/></url>
<url><loc>https://scifaro.com/en/abs/tight-analyses-for-non-smooth-stochastic-gradient-descent-1812.05217</loc><lastmod>2018-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-analyses-for-non-smooth-stochastic-gradient-descent-1812.05217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-analyses-for-non-smooth-stochastic-gradient-descent-1812.05217"/></url>
<url><loc>https://scifaro.com/en/abs/local-probabilistic-model-for-bayesian-classification-a-generalized-local-classification-model-1812.05221</loc><lastmod>2018-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-probabilistic-model-for-bayesian-classification-a-generalized-local-classification-model-1812.05221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-probabilistic-model-for-bayesian-classification-a-generalized-local-classification-model-1812.05221"/></url>
<url><loc>https://scifaro.com/en/abs/code-failure-prediction-and-pattern-extraction-using-lstm-networks-1812.05237</loc><lastmod>2018-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/code-failure-prediction-and-pattern-extraction-using-lstm-networks-1812.05237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/code-failure-prediction-and-pattern-extraction-using-lstm-networks-1812.05237"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-transfer-learning-for-named-entity-recognition-1812.05288</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-transfer-learning-for-named-entity-recognition-1812.05288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-transfer-learning-for-named-entity-recognition-1812.05288"/></url>
<url><loc>https://scifaro.com/en/abs/a-first-look-at-deep-learning-apps-on-smartphones-1812.05448</loc><lastmod>2021-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-first-look-at-deep-learning-apps-on-smartphones-1812.05448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-first-look-at-deep-learning-apps-on-smartphones-1812.05448"/></url>
<url><loc>https://scifaro.com/en/abs/homogeneous-feature-transfer-and-heterogeneous-location-fine-tuning-for-cross-city-property-appraisal-framework-1812.05486</loc><lastmod>2018-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/homogeneous-feature-transfer-and-heterogeneous-location-fine-tuning-for-cross-city-property-appraisal-framework-1812.05486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/homogeneous-feature-transfer-and-heterogeneous-location-fine-tuning-for-cross-city-property-appraisal-framework-1812.05486"/></url>
<url><loc>https://scifaro.com/en/abs/impact-of-data-normalization-on-deep-neural-network-for-time-series-forecasting-1812.05519</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impact-of-data-normalization-on-deep-neural-network-for-time-series-forecasting-1812.05519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impact-of-data-normalization-on-deep-neural-network-for-time-series-forecasting-1812.05519"/></url>
<url><loc>https://scifaro.com/en/abs/exploration-conscious-reinforcement-learning-revisited-1812.05551</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploration-conscious-reinforcement-learning-revisited-1812.05551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploration-conscious-reinforcement-learning-revisited-1812.05551"/></url>
<url><loc>https://scifaro.com/en/abs/sequence-prediction-using-spectral-rnns-1812.05645</loc><lastmod>2020-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequence-prediction-using-spectral-rnns-1812.05645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequence-prediction-using-spectral-rnns-1812.05645"/></url>
<url><loc>https://scifaro.com/en/abs/construction-of-differentially-private-empirical-distributions-from-a-low-order-marginals-set-through-solving-linear-equations-with-l2-regularization-1812.05671</loc><lastmod>2021-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/construction-of-differentially-private-empirical-distributions-from-a-low-order-marginals-set-through-solving-linear-equations-with-l2-regularization-1812.05671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/construction-of-differentially-private-empirical-distributions-from-a-low-order-marginals-set-through-solving-linear-equations-with-l2-regularization-1812.05671"/></url>
<url><loc>https://scifaro.com/en/abs/a-probe-towards-understanding-gan-and-vae-models-1812.05676</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probe-towards-understanding-gan-and-vae-models-1812.05676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probe-towards-understanding-gan-and-vae-models-1812.05676"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-sparsification-of-gated-recurrent-neural-networks-1812.05692</loc><lastmod>2018-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-sparsification-of-gated-recurrent-neural-networks-1812.05692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-sparsification-of-gated-recurrent-neural-networks-1812.05692"/></url>
<url><loc>https://scifaro.com/en/abs/why-relu-networks-yield-high-confidence-predictions-far-away-from-the-training-data-and-how-to-mitigate-the-problem-1812.05720</loc><lastmod>2019-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-relu-networks-yield-high-confidence-predictions-far-away-from-the-training-data-and-how-to-mitigate-the-problem-1812.05720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-relu-networks-yield-high-confidence-predictions-far-away-from-the-training-data-and-how-to-mitigate-the-problem-1812.05720"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-descent-for-spectral-embedding-with-implicit-orthogonality-constraint-1812.05721</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-descent-for-spectral-embedding-with-implicit-orthogonality-constraint-1812.05721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-descent-for-spectral-embedding-with-implicit-orthogonality-constraint-1812.05721"/></url>
<url><loc>https://scifaro.com/en/abs/effectiveness-of-hierarchical-softmax-in-large-scale-classification-tasks-1812.05737</loc><lastmod>2018-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effectiveness-of-hierarchical-softmax-in-large-scale-classification-tasks-1812.05737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effectiveness-of-hierarchical-softmax-in-large-scale-classification-tasks-1812.05737"/></url>
<url><loc>https://scifaro.com/en/abs/on-stacked-denoising-autoencoder-based-pre-training-of-ann-for-isolated-handwritten-bengali-numerals-dataset-recognition-1812.05758</loc><lastmod>2018-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-stacked-denoising-autoencoder-based-pre-training-of-ann-for-isolated-handwritten-bengali-numerals-dataset-recognition-1812.05758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-stacked-denoising-autoencoder-based-pre-training-of-ann-for-isolated-handwritten-bengali-numerals-dataset-recognition-1812.05758"/></url>
<url><loc>https://scifaro.com/en/abs/pointpillars-fast-encoders-for-object-detection-from-point-clouds-1812.05784</loc><lastmod>2019-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pointpillars-fast-encoders-for-object-detection-from-point-clouds-1812.05784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pointpillars-fast-encoders-for-object-detection-from-point-clouds-1812.05784"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-sample-detection-for-deep-neural-network-through-model-mutation-testing-1812.05793</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-sample-detection-for-deep-neural-network-through-model-mutation-testing-1812.05793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-sample-detection-for-deep-neural-network-through-model-mutation-testing-1812.05793"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-layer-wise-feature-amounts-in-convolutional-neural-network-architectures-1812.05836</loc><lastmod>2018-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-layer-wise-feature-amounts-in-convolutional-neural-network-architectures-1812.05836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-layer-wise-feature-amounts-in-convolutional-neural-network-architectures-1812.05836"/></url>
<url><loc>https://scifaro.com/en/abs/dateline-deep-plackett-luce-model-with-uncertainty-measurements-1812.05877</loc><lastmod>2018-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dateline-deep-plackett-luce-model-with-uncertainty-measurements-1812.05877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dateline-deep-plackett-luce-model-with-uncertainty-measurements-1812.05877"/></url>
<url><loc>https://scifaro.com/en/abs/soft-actor-critic-algorithms-and-applications-1812.05905</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-actor-critic-algorithms-and-applications-1812.05905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-actor-critic-algorithms-and-applications-1812.05905"/></url>
<url><loc>https://scifaro.com/en/abs/context-encoding-variational-autoencoder-for-unsupervised-anomaly-detection-1812.05941</loc><lastmod>2018-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-encoding-variational-autoencoder-for-unsupervised-anomaly-detection-1812.05941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-encoding-variational-autoencoder-for-unsupervised-anomaly-detection-1812.05941"/></url>
<url><loc>https://scifaro.com/en/abs/a-tutorial-on-distance-metric-learning-mathematical-foundations-algorithms-experimental-analysis-prospects-and-challenges-with-appendices-on-mathematical-background-and-detailed-algorithms-explanation-1812.05944</loc><lastmod>2020-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-distance-metric-learning-mathematical-foundations-algorithms-experimental-analysis-prospects-and-challenges-with-appendices-on-mathematical-background-and-detailed-algorithms-explanation-1812.05944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-distance-metric-learning-mathematical-foundations-algorithms-experimental-analysis-prospects-and-challenges-with-appendices-on-mathematical-background-and-detailed-algorithms-explanation-1812.05944"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-shared-model-governance-via-model-splitting-1812.05979</loc><lastmod>2018-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-shared-model-governance-via-model-splitting-1812.05979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-shared-model-governance-via-model-splitting-1812.05979"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-class-specific-discriminant-analysis-1812.05980</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-class-specific-discriminant-analysis-1812.05980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-class-specific-discriminant-analysis-1812.05980"/></url>
<url><loc>https://scifaro.com/en/abs/why-relu-units-sometimes-die-analysis-of-single-unit-error-backpropagation-in-neural-networks-1812.05981</loc><lastmod>2018-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-relu-units-sometimes-die-analysis-of-single-unit-error-backpropagation-in-neural-networks-1812.05981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-relu-units-sometimes-die-analysis-of-single-unit-error-backpropagation-in-neural-networks-1812.05981"/></url>
<url><loc>https://scifaro.com/en/abs/class-mean-vector-component-and-discriminant-analysis-1812.05988</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-mean-vector-component-and-discriminant-analysis-1812.05988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-mean-vector-component-and-discriminant-analysis-1812.05988"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-inference-of-interaction-laws-in-systems-of-agents-from-trajectory-data-1812.06003</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-inference-of-interaction-laws-in-systems-of-agents-from-trajectory-data-1812.06003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-inference-of-interaction-laws-in-systems-of-agents-from-trajectory-data-1812.06003"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-to-model-inertial-confinement-fusion-experiments-1812.06055</loc><lastmod>2018-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-to-model-inertial-confinement-fusion-experiments-1812.06055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-to-model-inertial-confinement-fusion-experiments-1812.06055"/></url>
<url><loc>https://scifaro.com/en/abs/reconciling-meta-learning-and-continual-learning-with-online-mixtures-of-tasks-1812.06080</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconciling-meta-learning-and-continual-learning-with-online-mixtures-of-tasks-1812.06080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconciling-meta-learning-and-continual-learning-with-online-mixtures-of-tasks-1812.06080"/></url>
<url><loc>https://scifaro.com/en/abs/dopamine-a-research-framework-for-deep-reinforcement-learning-1812.06110</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dopamine-a-research-framework-for-deep-reinforcement-learning-1812.06110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dopamine-a-research-framework-for-deep-reinforcement-learning-1812.06110"/></url>
<url><loc>https://scifaro.com/en/abs/federated-optimization-in-heterogeneous-networks-1812.06127</loc><lastmod>2020-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-optimization-in-heterogeneous-networks-1812.06127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-optimization-in-heterogeneous-networks-1812.06127"/></url>
<url><loc>https://scifaro.com/en/abs/bias-mitigation-post-processing-for-individual-and-group-fairness-1812.06135</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-mitigation-post-processing-for-individual-and-group-fairness-1812.06135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-mitigation-post-processing-for-individual-and-group-fairness-1812.06135"/></url>
<url><loc>https://scifaro.com/en/abs/specification-guided-safety-verification-for-feedforward-neural-networks-1812.06161</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/specification-guided-safety-verification-for-feedforward-neural-networks-1812.06161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/specification-guided-safety-verification-for-feedforward-neural-networks-1812.06161"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-model-of-large-batch-training-1812.06162</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-model-of-large-batch-training-1812.06162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-model-of-large-batch-training-1812.06162"/></url>
<url><loc>https://scifaro.com/en/abs/learning-latent-subspaces-in-variational-autoencoders-1812.06190</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-latent-subspaces-in-variational-autoencoders-1812.06190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-latent-subspaces-in-variational-autoencoders-1812.06190"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-approach-to-adding-differential-privacy-to-iterative-training-procedures-1812.06210</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-approach-to-adding-differential-privacy-to-iterative-training-procedures-1812.06210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-approach-to-adding-differential-privacy-to-iterative-training-procedures-1812.06210"/></url>
<url><loc>https://scifaro.com/en/abs/balanced-linear-contextual-bandits-1812.06227</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balanced-linear-contextual-bandits-1812.06227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balanced-linear-contextual-bandits-1812.06227"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-networks-for-generation-and-classification-of-physical-rehabilitation-movement-episodes-1812.06307</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-generation-and-classification-of-physical-rehabilitation-movement-episodes-1812.06307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-generation-and-classification-of-physical-rehabilitation-movement-episodes-1812.06307"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-quantile-networks-for-coordinating-multi-agent-reinforcement-learning-1812.06319</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-quantile-networks-for-coordinating-multi-agent-reinforcement-learning-1812.06319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-quantile-networks-for-coordinating-multi-agent-reinforcement-learning-1812.06319"/></url>
<url><loc>https://scifaro.com/en/abs/a-bandit-approach-to-maximum-inner-product-search-1812.06360</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bandit-approach-to-maximum-inner-product-search-1812.06360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bandit-approach-to-maximum-inner-product-search-1812.06360"/></url>
<url><loc>https://scifaro.com/en/abs/provable-limitations-of-deep-learning-1812.06369</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-limitations-of-deep-learning-1812.06369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-limitations-of-deep-learning-1812.06369"/></url>
<url><loc>https://scifaro.com/en/abs/trust-region-based-adversarial-attack-on-neural-networks-1812.06371</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trust-region-based-adversarial-attack-on-neural-networks-1812.06371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trust-region-based-adversarial-attack-on-neural-networks-1812.06371"/></url>
<url><loc>https://scifaro.com/en/abs/fast-mvae-joint-separation-and-classification-of-mixed-sources-based-on-multichannel-variational-autoencoder-with-auxiliary-classifier-1812.06391</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-mvae-joint-separation-and-classification-of-mixed-sources-based-on-multichannel-variational-autoencoder-with-auxiliary-classifier-1812.06391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-mvae-joint-separation-and-classification-of-mixed-sources-based-on-multichannel-variational-autoencoder-with-auxiliary-classifier-1812.06391"/></url>
<url><loc>https://scifaro.com/en/abs/pac-learning-guarantees-under-covariate-shift-1812.06393</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-learning-guarantees-under-covariate-shift-1812.06393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-learning-guarantees-under-covariate-shift-1812.06393"/></url>
<url><loc>https://scifaro.com/en/abs/gold-seeker-information-gain-from-policy-distributions-for-goal-oriented-vision-and-langauge-reasoning-1812.06398</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gold-seeker-information-gain-from-policy-distributions-for-goal-oriented-vision-and-langauge-reasoning-1812.06398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gold-seeker-information-gain-from-policy-distributions-for-goal-oriented-vision-and-langauge-reasoning-1812.06398"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-of-learning-project-productivity-in-software-effort-based-on-use-case-points-1812.06459</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-of-learning-project-productivity-in-software-effort-based-on-use-case-points-1812.06459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-of-learning-project-productivity-in-software-effort-based-on-use-case-points-1812.06459"/></url>
<url><loc>https://scifaro.com/en/abs/non-attracting-regions-of-local-minima-in-deep-and-wide-neural-networks-1812.06486</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-attracting-regions-of-local-minima-in-deep-and-wide-neural-networks-1812.06486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-attracting-regions-of-local-minima-in-deep-and-wide-neural-networks-1812.06486"/></url>
<url><loc>https://scifaro.com/en/abs/a-logarithmic-barrier-method-for-proximal-policy-optimization-1812.06502</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-logarithmic-barrier-method-for-proximal-policy-optimization-1812.06502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-logarithmic-barrier-method-for-proximal-policy-optimization-1812.06502"/></url>
<url><loc>https://scifaro.com/en/abs/deep-clustering-based-on-a-mixture-of-autoencoders-1812.06535</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-clustering-based-on-a-mixture-of-autoencoders-1812.06535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-clustering-based-on-a-mixture-of-autoencoders-1812.06535"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-deep-learning-approach-for-automatic-classification-of-seizures-against-non-seizures-1812.06562</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-deep-learning-approach-for-automatic-classification-of-seizures-against-non-seizures-1812.06562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-deep-learning-approach-for-automatic-classification-of-seizures-against-non-seizures-1812.06562"/></url>
<url><loc>https://scifaro.com/en/abs/latent-dirichlet-allocation-in-generative-adversarial-networks-1812.06571</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-dirichlet-allocation-in-generative-adversarial-networks-1812.06571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-dirichlet-allocation-in-generative-adversarial-networks-1812.06571"/></url>
<url><loc>https://scifaro.com/en/abs/ell-0-motivated-low-rank-sparse-subspace-clustering-1812.06580</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ell-0-motivated-low-rank-sparse-subspace-clustering-1812.06580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ell-0-motivated-low-rank-sparse-subspace-clustering-1812.06580"/></url>
<url><loc>https://scifaro.com/en/abs/learning-student-networks-via-feature-embedding-1812.06597</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-student-networks-via-feature-embedding-1812.06597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-student-networks-via-feature-embedding-1812.06597"/></url>
<url><loc>https://scifaro.com/en/abs/deep-heterogeneous-autoencoders-for-collaborative-filtering-1812.06610</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-heterogeneous-autoencoders-for-collaborative-filtering-1812.06610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-heterogeneous-autoencoders-for-collaborative-filtering-1812.06610"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-mp-mri-data-synthesis-with-stitchlayer-and-auxiliary-distance-maximization-1812.06625</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-mp-mri-data-synthesis-with-stitchlayer-and-auxiliary-distance-maximization-1812.06625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-mp-mri-data-synthesis-with-stitchlayer-and-auxiliary-distance-maximization-1812.06625"/></url>
<url><loc>https://scifaro.com/en/abs/designing-adversarially-resilient-classifiers-using-resilient-feature-engineering-1812.06626</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-adversarially-resilient-classifiers-using-resilient-feature-engineering-1812.06626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-adversarially-resilient-classifiers-using-resilient-feature-engineering-1812.06626"/></url>
<url><loc>https://scifaro.com/en/abs/stable-safe-screening-and-structured-dictionaries-for-faster-l1-regularization-1812.06635</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-safe-screening-and-structured-dictionaries-for-faster-l1-regularization-1812.06635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-safe-screening-and-structured-dictionaries-for-faster-l1-regularization-1812.06635"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-for-spatial-graphs-1812.06668</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-for-spatial-graphs-1812.06668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-for-spatial-graphs-1812.06668"/></url>
<url><loc>https://scifaro.com/en/abs/sepsis-prediction-and-vital-signs-ranking-in-intensive-care-unit-patients-1812.06686</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sepsis-prediction-and-vital-signs-ranking-in-intensive-care-unit-patients-1812.06686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sepsis-prediction-and-vital-signs-ranking-in-intensive-care-unit-patients-1812.06686"/></url>
<url><loc>https://scifaro.com/en/abs/heuristics-for-efficient-sparse-blind-source-separation-1812.06737</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heuristics-for-efficient-sparse-blind-source-separation-1812.06737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heuristics-for-efficient-sparse-blind-source-separation-1812.06737"/></url>
<url><loc>https://scifaro.com/en/abs/traceability-of-deep-neural-networks-1812.06744</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/traceability-of-deep-neural-networks-1812.06744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/traceability-of-deep-neural-networks-1812.06744"/></url>
<url><loc>https://scifaro.com/en/abs/variational-autoencoders-pursue-pca-directions-by-accident-1812.06775</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-autoencoders-pursue-pca-directions-by-accident-1812.06775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-autoencoders-pursue-pca-directions-by-accident-1812.06775"/></url>
<url><loc>https://scifaro.com/en/abs/spartan-networks-self-feature-squeezing-neural-networks-for-increased-robustness-in-adversarial-settings-1812.06815</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spartan-networks-self-feature-squeezing-neural-networks-for-increased-robustness-in-adversarial-settings-1812.06815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spartan-networks-self-feature-squeezing-neural-networks-for-increased-robustness-in-adversarial-settings-1812.06815"/></url>
<url><loc>https://scifaro.com/en/abs/noninteractive-locally-private-learning-of-linear-models-via-polynomial-approximations-1812.06825</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noninteractive-locally-private-learning-of-linear-models-via-polynomial-approximations-1812.06825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noninteractive-locally-private-learning-of-linear-models-via-polynomial-approximations-1812.06825"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-anti-monotonicity-of-multi-label-evaluation-measures-for-inducing-multi-label-rules-1812.06833</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-anti-monotonicity-of-multi-label-evaluation-measures-for-inducing-multi-label-rules-1812.06833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-anti-monotonicity-of-multi-label-evaluation-measures-for-inducing-multi-label-rules-1812.06833"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-in-alphago-1812.06855</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-in-alphago-1812.06855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-in-alphago-1812.06855"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-in-brain-computer-interfaces-with-adversarial-variational-autoencoders-1812.06857</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-in-brain-computer-interfaces-with-adversarial-variational-autoencoders-1812.06857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-in-brain-computer-interfaces-with-adversarial-variational-autoencoders-1812.06857"/></url>
<url><loc>https://scifaro.com/en/abs/briarpatches-pixel-space-interventions-for-inducing-demographic-parity-1812.06869</loc><lastmod>2018-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/briarpatches-pixel-space-interventions-for-inducing-demographic-parity-1812.06869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/briarpatches-pixel-space-interventions-for-inducing-demographic-parity-1812.06869"/></url>
<url><loc>https://scifaro.com/en/abs/multi-instance-learning-for-unbalanced-data-1812.07010</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-instance-learning-for-unbalanced-data-1812.07010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-instance-learning-for-unbalanced-data-1812.07010"/></url>
<url><loc>https://scifaro.com/en/abs/fuzzy-controller-of-reward-of-reinforcement-learning-for-handwritten-digit-recognition-1812.07028</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fuzzy-controller-of-reward-of-reinforcement-learning-for-handwritten-digit-recognition-1812.07028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fuzzy-controller-of-reward-of-reinforcement-learning-for-handwritten-digit-recognition-1812.07028"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-continuity-of-rotation-representations-in-neural-networks-1812.07035</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-continuity-of-rotation-representations-in-neural-networks-1812.07035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-continuity-of-rotation-representations-in-neural-networks-1812.07035"/></url>
<url><loc>https://scifaro.com/en/abs/fuzzy-hashing-as-perturbation-consistent-adversarial-kernel-embedding-1812.07071</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fuzzy-hashing-as-perturbation-consistent-adversarial-kernel-embedding-1812.07071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fuzzy-hashing-as-perturbation-consistent-adversarial-kernel-embedding-1812.07071"/></url>
<url><loc>https://scifaro.com/en/abs/two-birds-with-one-network-unifying-failure-event-prediction-and-time-to-failure-modeling-1812.07142</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-birds-with-one-network-unifying-failure-event-prediction-and-time-to-failure-modeling-1812.07142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-birds-with-one-network-unifying-failure-event-prediction-and-time-to-failure-modeling-1812.07142"/></url>
<url><loc>https://scifaro.com/en/abs/interactive-naming-for-explaining-deep-neural-networks-a-formative-study-1812.07150</loc><lastmod>2018-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interactive-naming-for-explaining-deep-neural-networks-a-formative-study-1812.07150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interactive-naming-for-explaining-deep-neural-networks-a-formative-study-1812.07150"/></url>
<url><loc>https://scifaro.com/en/abs/attention-based-recurrent-neural-network-for-urban-vehicle-trajectory-prediction-1812.07151</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-based-recurrent-neural-network-for-urban-vehicle-trajectory-prediction-1812.07151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-based-recurrent-neural-network-for-urban-vehicle-trajectory-prediction-1812.07151"/></url>
<url><loc>https://scifaro.com/en/abs/toward-multimodal-model-agnostic-meta-learning-1812.07172</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-multimodal-model-agnostic-meta-learning-1812.07172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-multimodal-model-agnostic-meta-learning-1812.07172"/></url>
<url><loc>https://scifaro.com/en/abs/frank-wolfe-algorithm-for-the-exact-sparse-problem-1812.07201</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frank-wolfe-algorithm-for-the-exact-sparse-problem-1812.07201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frank-wolfe-algorithm-for-the-exact-sparse-problem-1812.07201"/></url>
<url><loc>https://scifaro.com/en/abs/expanding-the-reach-of-federated-learning-by-reducing-client-resource-requirements-1812.07210</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expanding-the-reach-of-federated-learning-by-reducing-client-resource-requirements-1812.07210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expanding-the-reach-of-federated-learning-by-reducing-client-resource-requirements-1812.07210"/></url>
<url><loc>https://scifaro.com/en/abs/sparsity-in-variational-autoencoders-1812.07238</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsity-in-variational-autoencoders-1812.07238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsity-in-variational-autoencoders-1812.07238"/></url>
<url><loc>https://scifaro.com/en/abs/non-parametric-clustering-over-user-features-and-latent-behavioral-functions-with-dual-view-mixture-models-1812.07360</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-parametric-clustering-over-user-features-and-latent-behavioral-functions-with-dual-view-mixture-models-1812.07360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-parametric-clustering-over-user-features-and-latent-behavioral-functions-with-dual-view-mixture-models-1812.07360"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-approach-in-automatic-iceberg-ship-detection-with-sar-remote-sensing-data-1812.07367</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-approach-in-automatic-iceberg-ship-detection-with-sar-remote-sensing-data-1812.07367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-approach-in-automatic-iceberg-ship-detection-with-sar-remote-sensing-data-1812.07367"/></url>
<url><loc>https://scifaro.com/en/abs/perturbation-analysis-of-learning-algorithms-a-unifying-perspective-on-generation-of-adversarial-examples-1812.07385</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perturbation-analysis-of-learning-algorithms-a-unifying-perspective-on-generation-of-adversarial-examples-1812.07385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perturbation-analysis-of-learning-algorithms-a-unifying-perspective-on-generation-of-adversarial-examples-1812.07385"/></url>
<url><loc>https://scifaro.com/en/abs/distill-net-application-specific-distillation-of-deep-convolutional-neural-networks-for-resource-constrained-iot-platforms-1812.07390</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distill-net-application-specific-distillation-of-deep-convolutional-neural-networks-for-resource-constrained-iot-platforms-1812.07390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distill-net-application-specific-distillation-of-deep-convolutional-neural-networks-for-resource-constrained-iot-platforms-1812.07390"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-computation-offloading-for-multi-user-mobile-edge-computing-a-deep-reinforcement-learning-approach-1812.07394</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-computation-offloading-for-multi-user-mobile-edge-computing-a-deep-reinforcement-learning-approach-1812.07394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-computation-offloading-for-multi-user-mobile-edge-computing-a-deep-reinforcement-learning-approach-1812.07394"/></url>
<url><loc>https://scifaro.com/en/abs/twins-two-weighted-inconsistency-reduced-networks-for-partial-domain-adaptation-1812.07405</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/twins-two-weighted-inconsistency-reduced-networks-for-partial-domain-adaptation-1812.07405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/twins-two-weighted-inconsistency-reduced-networks-for-partial-domain-adaptation-1812.07405"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-deep-belief-network-model-for-road-safety-analyses-1812.07410</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-deep-belief-network-model-for-road-safety-analyses-1812.07410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-deep-belief-network-model-for-road-safety-analyses-1812.07410"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-for-reinforcement-learning-on-the-atari-1812.07452</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-for-reinforcement-learning-on-the-atari-1812.07452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-for-reinforcement-learning-on-the-atari-1812.07452"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-evolutionary-federated-learning-1812.07478</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-evolutionary-federated-learning-1812.07478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-evolutionary-federated-learning-1812.07478"/></url>
<url><loc>https://scifaro.com/en/abs/nips-not-even-wrong-a-systematic-review-of-empirically-complete-demonstrations-of-algorithmic-effectiveness-in-the-machine-learning-and-artificial-intelligence-literature-1812.07519</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nips-not-even-wrong-a-systematic-review-of-empirically-complete-demonstrations-of-algorithmic-effectiveness-in-the-machine-learning-and-artificial-intelligence-literature-1812.07519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nips-not-even-wrong-a-systematic-review-of-empirically-complete-demonstrations-of-algorithmic-effectiveness-in-the-machine-learning-and-artificial-intelligence-literature-1812.07519"/></url>
<url><loc>https://scifaro.com/en/abs/entropy-constrained-training-of-deep-neural-networks-1812.07520</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropy-constrained-training-of-deep-neural-networks-1812.07520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropy-constrained-training-of-deep-neural-networks-1812.07520"/></url>
<url><loc>https://scifaro.com/en/abs/xor-p-a-maximally-intertwined-p-classes-problem-used-as-a-benchmark-with-built-in-truth-for-neural-networks-gradient-descent-optimization-1812.07538</loc><lastmod>2018-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xor-p-a-maximally-intertwined-p-classes-problem-used-as-a-benchmark-with-built-in-truth-for-neural-networks-gradient-descent-optimization-1812.07538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xor-p-a-maximally-intertwined-p-classes-problem-used-as-a-benchmark-with-built-in-truth-for-neural-networks-gradient-descent-optimization-1812.07538"/></url>
<url><loc>https://scifaro.com/en/abs/information-directed-exploration-for-deep-reinforcement-learning-1812.07544</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-directed-exploration-for-deep-reinforcement-learning-1812.07544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-directed-exploration-for-deep-reinforcement-learning-1812.07544"/></url>
<url><loc>https://scifaro.com/en/abs/deep-transfer-learning-for-static-malware-classification-1812.07606</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-transfer-learning-for-static-malware-classification-1812.07606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-transfer-learning-for-static-malware-classification-1812.07606"/></url>
<url><loc>https://scifaro.com/en/abs/towards-deep-conversational-recommendations-1812.07617</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-deep-conversational-recommendations-1812.07617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-deep-conversational-recommendations-1812.07617"/></url>
<url><loc>https://scifaro.com/en/abs/universal-successor-features-approximators-1812.07626</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-successor-features-approximators-1812.07626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-successor-features-approximators-1812.07626"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-oriented-representation-learning-with-attractive-repulsive-loss-1812.07627</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-oriented-representation-learning-with-attractive-repulsive-loss-1812.07627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-oriented-representation-learning-with-attractive-repulsive-loss-1812.07627"/></url>
<url><loc>https://scifaro.com/en/abs/deep-variational-sufficient-dimensionality-reduction-1812.07641</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-variational-sufficient-dimensionality-reduction-1812.07641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-variational-sufficient-dimensionality-reduction-1812.07641"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-supervised-hashing-for-cross-modal-similarity-search-1812.07660</loc><lastmod>2019-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-supervised-hashing-for-cross-modal-similarity-search-1812.07660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-supervised-hashing-for-cross-modal-similarity-search-1812.07660"/></url>
<url><loc>https://scifaro.com/en/abs/deep-online-learning-via-meta-learning-continual-adaptation-for-model-based-rl-1812.07671</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-online-learning-via-meta-learning-continual-adaptation-for-model-based-rl-1812.07671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-online-learning-via-meta-learning-continual-adaptation-for-model-based-rl-1812.07671"/></url>
<url><loc>https://scifaro.com/en/abs/deep-gated-recurrent-and-convolutional-network-hybrid-model-for-univariate-time-series-classification-1812.07683</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-gated-recurrent-and-convolutional-network-hybrid-model-for-univariate-time-series-classification-1812.07683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-gated-recurrent-and-convolutional-network-hybrid-model-for-univariate-time-series-classification-1812.07683"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-lstms-and-attention-mechanisms-for-forecasting-financial-time-series-1812.07699</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-lstms-and-attention-mechanisms-for-forecasting-financial-time-series-1812.07699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-lstms-and-attention-mechanisms-for-forecasting-financial-time-series-1812.07699"/></url>
<url><loc>https://scifaro.com/en/abs/training-on-art-composition-attributes-to-influence-cyclegan-art-generation-1812.07710</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-on-art-composition-attributes-to-influence-cyclegan-art-generation-1812.07710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-on-art-composition-attributes-to-influence-cyclegan-art-generation-1812.07710"/></url>
<url><loc>https://scifaro.com/en/abs/prognosticating-autism-spectrum-disorder-using-artificial-neural-network-levenberg-marquardt-algorithm-1812.07716</loc><lastmod>2019-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prognosticating-autism-spectrum-disorder-using-artificial-neural-network-levenberg-marquardt-algorithm-1812.07716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prognosticating-autism-spectrum-disorder-using-artificial-neural-network-levenberg-marquardt-algorithm-1812.07716"/></url>
<url><loc>https://scifaro.com/en/abs/max-diversity-distributed-learning-theory-and-algorithms-1812.07738</loc><lastmod>2019-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-diversity-distributed-learning-theory-and-algorithms-1812.07738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-diversity-distributed-learning-theory-and-algorithms-1812.07738"/></url>
<url><loc>https://scifaro.com/en/abs/cnn-based-multi-instance-multi-task-learning-for-syndrome-differentiation-of-diabetic-patients-1812.07764</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cnn-based-multi-instance-multi-task-learning-for-syndrome-differentiation-of-diabetic-patients-1812.07764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cnn-based-multi-instance-multi-task-learning-for-syndrome-differentiation-of-diabetic-patients-1812.07764"/></url>
<url><loc>https://scifaro.com/en/abs/modular-meta-learning-in-abstract-graph-networks-for-combinatorial-generalization-1812.07768</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modular-meta-learning-in-abstract-graph-networks-for-combinatorial-generalization-1812.07768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modular-meta-learning-in-abstract-graph-networks-for-combinatorial-generalization-1812.07768"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-topic-sentiment-preference-in-an-hdp-based-rating-regression-model-for-online-reviews-1812.07805</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-topic-sentiment-preference-in-an-hdp-based-rating-regression-model-for-online-reviews-1812.07805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-topic-sentiment-preference-in-an-hdp-based-rating-regression-model-for-online-reviews-1812.07805"/></url>
<url><loc>https://scifaro.com/en/abs/found-in-translation-learning-robust-joint-representations-by-cyclic-translations-between-modalities-1812.07809</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/found-in-translation-learning-robust-joint-representations-by-cyclic-translations-between-modalities-1812.07809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/found-in-translation-learning-robust-joint-representations-by-cyclic-translations-between-modalities-1812.07809"/></url>
<url><loc>https://scifaro.com/en/abs/fast-botnet-detection-from-streaming-logs-using-online-lanczos-method-1812.07810</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-botnet-detection-from-streaming-logs-using-online-lanczos-method-1812.07810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-botnet-detection-from-streaming-logs-using-online-lanczos-method-1812.07810"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-accurate-3d-medical-image-segmentation-with-data-swapping-method-1812.07816</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-accurate-3d-medical-image-segmentation-with-data-swapping-method-1812.07816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-accurate-3d-medical-image-segmentation-with-data-swapping-method-1812.07816"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-in-cyber-security-problems-challenges-and-data-sets-1812.07858</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-in-cyber-security-problems-challenges-and-data-sets-1812.07858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-in-cyber-security-problems-challenges-and-data-sets-1812.07858"/></url>
<url><loc>https://scifaro.com/en/abs/fast-adjustable-threshold-for-uniform-neural-network-quantization-winning-solution-of-lpirc-ii-1812.07872</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-adjustable-threshold-for-uniform-neural-network-quantization-winning-solution-of-lpirc-ii-1812.07872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-adjustable-threshold-for-uniform-neural-network-quantization-winning-solution-of-lpirc-ii-1812.07872"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-preference-learning-a-game-theoretic-framework-for-large-margin-on-line-feature-and-rule-learning-1812.07895</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-preference-learning-a-game-theoretic-framework-for-large-margin-on-line-feature-and-rule-learning-1812.07895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-preference-learning-a-game-theoretic-framework-for-large-margin-on-line-feature-and-rule-learning-1812.07895"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-evaluation-of-sketched-svd-and-its-application-to-leverage-score-ordering-1812.07903</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-sketched-svd-and-its-application-to-leverage-score-ordering-1812.07903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-sketched-svd-and-its-application-to-leverage-score-ordering-1812.07903"/></url>
<url><loc>https://scifaro.com/en/abs/a-reinforcement-learning-hyper-heuristic-in-multi-objective-single-point-search-with-application-to-structural-fault-identification-1812.07958</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reinforcement-learning-hyper-heuristic-in-multi-objective-single-point-search-with-application-to-structural-fault-identification-1812.07958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reinforcement-learning-hyper-heuristic-in-multi-objective-single-point-search-with-application-to-structural-fault-identification-1812.07958"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-meta-reinforcement-learning-for-deep-neural-networks-architecture-search-1812.07995</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-meta-reinforcement-learning-for-deep-neural-networks-architecture-search-1812.07995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-meta-reinforcement-learning-for-deep-neural-networks-architecture-search-1812.07995"/></url>
<url><loc>https://scifaro.com/en/abs/training-deep-neural-networks-with-8-bit-floating-point-numbers-1812.08011</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-deep-neural-networks-with-8-bit-floating-point-numbers-1812.08011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-deep-neural-networks-with-8-bit-floating-point-numbers-1812.08011"/></url>
<url><loc>https://scifaro.com/en/abs/credibility-evaluation-of-income-data-with-hierarchical-correlation-reconstruction-1812.08040</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/credibility-evaluation-of-income-data-with-hierarchical-correlation-reconstruction-1812.08040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/credibility-evaluation-of-income-data-with-hierarchical-correlation-reconstruction-1812.08040"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-chain-rule-optimal-transport-distance-1812.08113</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-chain-rule-optimal-transport-distance-1812.08113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-chain-rule-optimal-transport-distance-1812.08113"/></url>
<url><loc>https://scifaro.com/en/abs/adam-induces-implicit-weight-sparsity-in-rectifier-neural-networks-1812.08119</loc><lastmod>2018-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adam-induces-implicit-weight-sparsity-in-rectifier-neural-networks-1812.08119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adam-induces-implicit-weight-sparsity-in-rectifier-neural-networks-1812.08119"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-large-scale-ordinal-regression-model-1812.08237</loc><lastmod>2018-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-large-scale-ordinal-regression-model-1812.08237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-large-scale-ordinal-regression-model-1812.08237"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-classifiers-as-scientific-instruments-one-step-further-away-from-ground-truth-1812.08255</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-classifiers-as-scientific-instruments-one-step-further-away-from-ground-truth-1812.08255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-classifiers-as-scientific-instruments-one-step-further-away-from-ground-truth-1812.08255"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-learning-of-geometric-characteristics-of-wireless-networks-1812.08265</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-learning-of-geometric-characteristics-of-wireless-networks-1812.08265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-learning-of-geometric-characteristics-of-wireless-networks-1812.08265"/></url>
<url><loc>https://scifaro.com/en/abs/multisource-and-multitemporal-data-fusion-in-remote-sensing-1812.08287</loc><lastmod>2018-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multisource-and-multitemporal-data-fusion-in-remote-sensing-1812.08287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multisource-and-multitemporal-data-fusion-in-remote-sensing-1812.08287"/></url>
<url><loc>https://scifaro.com/en/abs/td-regularized-actor-critic-methods-1812.08288</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/td-regularized-actor-critic-methods-1812.08288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/td-regularized-actor-critic-methods-1812.08288"/></url>
<url><loc>https://scifaro.com/en/abs/finite-time-optimality-of-bayesian-predictors-1812.08292</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-time-optimality-of-bayesian-predictors-1812.08292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-time-optimality-of-bayesian-predictors-1812.08292"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-logic-architecture-in-training-gradient-boosting-decision-tree-for-high-performance-and-edge-computing-1812.08295</loc><lastmod>2018-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-logic-architecture-in-training-gradient-boosting-decision-tree-for-high-performance-and-edge-computing-1812.08295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-logic-architecture-in-training-gradient-boosting-decision-tree-for-high-performance-and-edge-computing-1812.08295"/></url>
<url><loc>https://scifaro.com/en/abs/derivative-free-methods-for-policy-optimization-guarantees-for-linear-quadratic-systems-1812.08305</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/derivative-free-methods-for-policy-optimization-guarantees-for-linear-quadratic-systems-1812.08305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/derivative-free-methods-for-policy-optimization-guarantees-for-linear-quadratic-systems-1812.08305"/></url>
<url><loc>https://scifaro.com/en/abs/neuralwarp-time-series-similarity-with-warping-networks-1812.08306</loc><lastmod>2018-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuralwarp-time-series-similarity-with-warping-networks-1812.08306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuralwarp-time-series-similarity-with-warping-networks-1812.08306"/></url>
<url><loc>https://scifaro.com/en/abs/proven-certifying-robustness-of-neural-networks-with-a-probabilistic-approach-1812.08329</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proven-certifying-robustness-of-neural-networks-with-a-probabilistic-approach-1812.08329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proven-certifying-robustness-of-neural-networks-with-a-probabilistic-approach-1812.08329"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-safety-and-trustworthiness-of-deep-neural-networks-verification-testing-adversarial-attack-and-defence-and-interpretability-1812.08342</loc><lastmod>2020-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-safety-and-trustworthiness-of-deep-neural-networks-verification-testing-adversarial-attack-and-defence-and-interpretability-1812.08342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-safety-and-trustworthiness-of-deep-neural-networks-verification-testing-adversarial-attack-and-defence-and-interpretability-1812.08342"/></url>
<url><loc>https://scifaro.com/en/abs/feedforward-neural-network-for-time-series-anomaly-detection-1812.08389</loc><lastmod>2018-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feedforward-neural-network-for-time-series-anomaly-detection-1812.08389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feedforward-neural-network-for-time-series-anomaly-detection-1812.08389"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-a-review-of-methods-and-applications-1812.08434</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-a-review-of-methods-and-applications-1812.08434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-a-review-of-methods-and-applications-1812.08434"/></url>
<url><loc>https://scifaro.com/en/abs/one-class-feature-learning-using-intra-class-splitting-1812.08468</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-class-feature-learning-using-intra-class-splitting-1812.08468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-class-feature-learning-using-intra-class-splitting-1812.08468"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-signal-denoising-with-encoder-decoder-networks-1812.08555</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-signal-denoising-with-encoder-decoder-networks-1812.08555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-signal-denoising-with-encoder-decoder-networks-1812.08555"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-approach-to-domain-adaptation-with-applications-in-astronomy-1812.08839</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-approach-to-domain-adaptation-with-applications-in-astronomy-1812.08839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-approach-to-domain-adaptation-with-applications-in-astronomy-1812.08839"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-validity-index-based-on-jeffrey-divergence-1812.08891</loc><lastmod>2018-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-validity-index-based-on-jeffrey-divergence-1812.08891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-validity-index-based-on-jeffrey-divergence-1812.08891"/></url>
<url><loc>https://scifaro.com/en/abs/pre-training-with-non-expert-human-demonstration-for-deep-reinforcement-learning-1812.08904</loc><lastmod>2019-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pre-training-with-non-expert-human-demonstration-for-deep-reinforcement-learning-1812.08904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pre-training-with-non-expert-human-demonstration-for-deep-reinforcement-learning-1812.08904"/></url>
<url><loc>https://scifaro.com/en/abs/primal-path-algorithm-for-compositional-data-analysis-1812.08954</loc><lastmod>2018-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/primal-path-algorithm-for-compositional-data-analysis-1812.08954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/primal-path-algorithm-for-compositional-data-analysis-1812.08954"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-doubly-robust-gradient-1812.08997</loc><lastmod>2018-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-doubly-robust-gradient-1812.08997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-doubly-robust-gradient-1812.08997"/></url>
<url><loc>https://scifaro.com/en/abs/feature-wise-bias-amplification-1812.08999</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-wise-bias-amplification-1812.08999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-wise-bias-amplification-1812.08999"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-approach-to-learning-in-dynamic-bayesian-networks-dbns-1812.09027</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-approach-to-learning-in-dynamic-bayesian-networks-dbns-1812.09027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-approach-to-learning-in-dynamic-bayesian-networks-dbns-1812.09027"/></url>
<url><loc>https://scifaro.com/en/abs/nadpex-an-on-policy-temporally-consistent-exploration-method-for-deep-reinforcement-learning-1812.09028</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nadpex-an-on-policy-temporally-consistent-exploration-method-for-deep-reinforcement-learning-1812.09028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nadpex-an-on-policy-temporally-consistent-exploration-method-for-deep-reinforcement-learning-1812.09028"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-task-neural-approach-for-emotion-attribution-classification-and-summarization-1812.09041</loc><lastmod>2019-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-task-neural-approach-for-emotion-attribution-classification-and-summarization-1812.09041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-task-neural-approach-for-emotion-attribution-classification-and-summarization-1812.09041"/></url>
<url><loc>https://scifaro.com/en/abs/marvels-and-pitfalls-of-the-langevin-algorithm-in-noisy-high-dimensional-inference-1812.09066</loc><lastmod>2020-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marvels-and-pitfalls-of-the-langevin-algorithm-in-noisy-high-dimensional-inference-1812.09066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marvels-and-pitfalls-of-the-langevin-algorithm-in-noisy-high-dimensional-inference-1812.09066"/></url>
<url><loc>https://scifaro.com/en/abs/an-integrated-transfer-learning-and-multitask-learning-approach-for-pharmacokinetic-parameter-prediction-1812.09073</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-integrated-transfer-learning-and-multitask-learning-approach-for-pharmacokinetic-parameter-prediction-1812.09073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-integrated-transfer-learning-and-multitask-learning-approach-for-pharmacokinetic-parameter-prediction-1812.09073"/></url>
<url><loc>https://scifaro.com/en/abs/generative-models-from-the-perspective-of-continual-learning-1812.09111</loc><lastmod>2018-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-models-from-the-perspective-of-continual-learning-1812.09111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-models-from-the-perspective-of-continual-learning-1812.09111"/></url>
<url><loc>https://scifaro.com/en/abs/introducing-neuromodulation-in-deep-neural-networks-to-learn-adaptive-behaviours-1812.09113</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introducing-neuromodulation-in-deep-neural-networks-to-learn-adaptive-behaviours-1812.09113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introducing-neuromodulation-in-deep-neural-networks-to-learn-adaptive-behaviours-1812.09113"/></url>
<url><loc>https://scifaro.com/en/abs/an-evaluation-of-methods-for-real-time-anomaly-detection-using-force-measurements-from-the-turning-process-1812.09178</loc><lastmod>2018-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-evaluation-of-methods-for-real-time-anomaly-detection-using-force-measurements-from-the-turning-process-1812.09178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-evaluation-of-methods-for-real-time-anomaly-detection-using-force-measurements-from-the-turning-process-1812.09178"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-navigate-the-web-1812.09195</loc><lastmod>2018-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-navigate-the-web-1812.09195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-navigate-the-web-1812.09195"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-from-dendrograms-1812.09225</loc><lastmod>2023-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-from-dendrograms-1812.09225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-from-dendrograms-1812.09225"/></url>
<url><loc>https://scifaro.com/en/abs/a-primal-dual-learning-algorithm-for-personalized-dynamic-pricing-with-an-inventory-constraint-1812.09234</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-primal-dual-learning-algorithm-for-personalized-dynamic-pricing-with-an-inventory-constraint-1812.09234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-primal-dual-learning-algorithm-for-personalized-dynamic-pricing-with-an-inventory-constraint-1812.09234"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-distributed-parameter-estimation-for-probability-distribution-of-wind-power-forecast-error-1812.09247</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-distributed-parameter-estimation-for-probability-distribution-of-wind-power-forecast-error-1812.09247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-distributed-parameter-estimation-for-probability-distribution-of-wind-power-forecast-error-1812.09247"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-sensor-fusion-in-single-thermal-image-super-resolution-1812.09276</loc><lastmod>2018-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-sensor-fusion-in-single-thermal-image-super-resolution-1812.09276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-sensor-fusion-in-single-thermal-image-super-resolution-1812.09276"/></url>
<url><loc>https://scifaro.com/en/abs/correlated-anomaly-detection-from-large-streaming-data-1812.09387</loc><lastmod>2019-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlated-anomaly-detection-from-large-streaming-data-1812.09387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlated-anomaly-detection-from-large-streaming-data-1812.09387"/></url>
<url><loc>https://scifaro.com/en/abs/multi-step-prediction-of-occupancy-grid-maps-with-recurrent-neural-networks-1812.09395</loc><lastmod>2019-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-step-prediction-of-occupancy-grid-maps-with-recurrent-neural-networks-1812.09395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-step-prediction-of-occupancy-grid-maps-with-recurrent-neural-networks-1812.09395"/></url>
<url><loc>https://scifaro.com/en/abs/towards-resilient-machine-learning-for-ransomware-detection-1812.09400</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-resilient-machine-learning-for-ransomware-detection-1812.09400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-resilient-machine-learning-for-ransomware-detection-1812.09400"/></url>
<url><loc>https://scifaro.com/en/abs/image-embedding-of-pmu-data-for-deep-learning-towards-transient-disturbance-classification-1812.09427</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/image-embedding-of-pmu-data-for-deep-learning-towards-transient-disturbance-classification-1812.09427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/image-embedding-of-pmu-data-for-deep-learning-towards-transient-disturbance-classification-1812.09427"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-graph-representation-learning-via-self-attention-networks-1812.09430</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-graph-representation-learning-via-self-attention-networks-1812.09430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-graph-representation-learning-via-self-attention-networks-1812.09430"/></url>
<url><loc>https://scifaro.com/en/abs/fault-location-in-power-distribution-systems-via-deep-graph-convolutional-networks-1812.09464</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fault-location-in-power-distribution-systems-via-deep-graph-convolutional-networks-1812.09464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fault-location-in-power-distribution-systems-via-deep-graph-convolutional-networks-1812.09464"/></url>
<url><loc>https://scifaro.com/en/abs/deep-uncertainty-quantification-a-machine-learning-approach-for-weather-forecasting-1812.09467</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-uncertainty-quantification-a-machine-learning-approach-for-weather-forecasting-1812.09467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-uncertainty-quantification-a-machine-learning-approach-for-weather-forecasting-1812.09467"/></url>
<url><loc>https://scifaro.com/en/abs/random-projection-in-deep-neural-networks-1812.09489</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-projection-in-deep-neural-networks-1812.09489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-projection-in-deep-neural-networks-1812.09489"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-versus-logistic-regression-for-30-days-all-cause-readmission-prediction-1812.09549</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-versus-logistic-regression-for-30-days-all-cause-readmission-prediction-1812.09549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-versus-logistic-regression-for-30-days-all-cause-readmission-prediction-1812.09549"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dynamical-demand-response-model-in-real-time-pricing-program-1812.09567</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dynamical-demand-response-model-in-real-time-pricing-program-1812.09567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dynamical-demand-response-model-in-real-time-pricing-program-1812.09567"/></url>
<url><loc>https://scifaro.com/en/abs/meta-architecture-search-1812.09584</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-architecture-search-1812.09584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-architecture-search-1812.09584"/></url>
<url><loc>https://scifaro.com/en/abs/search-guided-lightly-supervised-training-of-structured-prediction-energy-networks-1812.09603</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/search-guided-lightly-supervised-training-of-structured-prediction-energy-networks-1812.09603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/search-guided-lightly-supervised-training-of-structured-prediction-energy-networks-1812.09603"/></url>
<url><loc>https://scifaro.com/en/abs/can-vaes-generate-novel-examples-1812.09624</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-vaes-generate-novel-examples-1812.09624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-vaes-generate-novel-examples-1812.09624"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-free-uncertainty-quantification-for-kernel-methods-by-gradient-perturbations-1812.09632</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-free-uncertainty-quantification-for-kernel-methods-by-gradient-perturbations-1812.09632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-free-uncertainty-quantification-for-kernel-methods-by-gradient-perturbations-1812.09632"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-rationally-inattentive-utility-functions-with-deep-clustering-for-framing-applications-in-youtube-engagement-dynamics-1812.09640</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-rationally-inattentive-utility-functions-with-deep-clustering-for-framing-applications-in-youtube-engagement-dynamics-1812.09640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-rationally-inattentive-utility-functions-with-deep-clustering-for-framing-applications-in-youtube-engagement-dynamics-1812.09640"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-membership-recurrent-neural-networks-1812.09645</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-membership-recurrent-neural-networks-1812.09645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-membership-recurrent-neural-networks-1812.09645"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-neural-networks-condensation-a-strategy-to-facilitate-adaption-of-machine-learning-in-medical-settings-by-reducing-computational-burden-1812.09659</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-neural-networks-condensation-a-strategy-to-facilitate-adaption-of-machine-learning-in-medical-settings-by-reducing-computational-burden-1812.09659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-neural-networks-condensation-a-strategy-to-facilitate-adaption-of-machine-learning-in-medical-settings-by-reducing-computational-burden-1812.09659"/></url>
<url><loc>https://scifaro.com/en/abs/computations-in-stochastic-acceptors-1812.09687</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computations-in-stochastic-acceptors-1812.09687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computations-in-stochastic-acceptors-1812.09687"/></url>
<url><loc>https://scifaro.com/en/abs/increasing-the-adversarial-robustness-and-explainability-of-capsule-networks-with-gamma-capsules-1812.09707</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/increasing-the-adversarial-robustness-and-explainability-of-capsule-networks-with-gamma-capsules-1812.09707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/increasing-the-adversarial-robustness-and-explainability-of-capsule-networks-with-gamma-capsules-1812.09707"/></url>
<url><loc>https://scifaro.com/en/abs/parallelized-interactive-machine-learning-on-autonomous-vehicles-1812.09724</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelized-interactive-machine-learning-on-autonomous-vehicles-1812.09724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelized-interactive-machine-learning-on-autonomous-vehicles-1812.09724"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-objective-anytime-rule-mining-system-to-ease-iterative-feedback-from-domain-experts-1812.09746</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-objective-anytime-rule-mining-system-to-ease-iterative-feedback-from-domain-experts-1812.09746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-objective-anytime-rule-mining-system-to-ease-iterative-feedback-from-domain-experts-1812.09746"/></url>
<url><loc>https://scifaro.com/en/abs/learning-when-to-communicate-at-scale-in-multiagent-cooperative-and-competitive-tasks-1812.09755</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-when-to-communicate-at-scale-in-multiagent-cooperative-and-competitive-tasks-1812.09755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-when-to-communicate-at-scale-in-multiagent-cooperative-and-competitive-tasks-1812.09755"/></url>
<url><loc>https://scifaro.com/en/abs/neural-persistence-a-complexity-measure-for-deep-neural-networks-using-algebraic-topology-1812.09764</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-persistence-a-complexity-measure-for-deep-neural-networks-using-algebraic-topology-1812.09764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-persistence-a-complexity-measure-for-deep-neural-networks-using-algebraic-topology-1812.09764"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-uniformly-stable-algorithms-1812.09859</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-uniformly-stable-algorithms-1812.09859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-uniformly-stable-algorithms-1812.09859"/></url>
<url><loc>https://scifaro.com/en/abs/bigmap-big-data-mapping-with-parallelized-t-sne-1812.09869</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bigmap-big-data-mapping-with-parallelized-t-sne-1812.09869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bigmap-big-data-mapping-with-parallelized-t-sne-1812.09869"/></url>
<url><loc>https://scifaro.com/en/abs/invariant-and-equivariant-graph-networks-1812.09902</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariant-and-equivariant-graph-networks-1812.09902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariant-and-equivariant-graph-networks-1812.09902"/></url>
<url><loc>https://scifaro.com/en/abs/group-preserving-label-embedding-for-multi-label-classification-1812.09910</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-preserving-label-embedding-for-multi-label-classification-1812.09910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-preserving-label-embedding-for-multi-label-classification-1812.09910"/></url>
<url><loc>https://scifaro.com/en/abs/improving-mmd-gan-training-with-repulsive-loss-function-1812.09916</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-mmd-gan-training-with-repulsive-loss-function-1812.09916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-mmd-gan-training-with-repulsive-loss-function-1812.09916"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-runtime-feature-map-pruning-1812.09922</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-runtime-feature-map-pruning-1812.09922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-runtime-feature-map-pruning-1812.09922"/></url>
<url><loc>https://scifaro.com/en/abs/dual-principal-component-pursuit-probability-analysis-and-efficient-algorithms-1812.09924</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-principal-component-pursuit-probability-analysis-and-efficient-algorithms-1812.09924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-principal-component-pursuit-probability-analysis-and-efficient-algorithms-1812.09924"/></url>
<url><loc>https://scifaro.com/en/abs/snas-stochastic-neural-architecture-search-1812.09926</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/snas-stochastic-neural-architecture-search-1812.09926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/snas-stochastic-neural-architecture-search-1812.09926"/></url>
<url><loc>https://scifaro.com/en/abs/self-attention-equipped-graph-convolutions-for-disease-prediction-1812.09954</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-attention-equipped-graph-convolutions-for-disease-prediction-1812.09954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-attention-equipped-graph-convolutions-for-disease-prediction-1812.09954"/></url>
<url><loc>https://scifaro.com/en/abs/vmav-c-a-deep-attention-based-reinforcement-learning-algorithm-for-model-based-control-1812.09968</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vmav-c-a-deep-attention-based-reinforcement-learning-algorithm-for-model-based-control-1812.09968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vmav-c-a-deep-attention-based-reinforcement-learning-algorithm-for-model-based-control-1812.09968"/></url>
<url><loc>https://scifaro.com/en/abs/overparameterized-nonlinear-learning-gradient-descent-takes-the-shortest-path-1812.10004</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overparameterized-nonlinear-learning-gradient-descent-takes-the-shortest-path-1812.10004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overparameterized-nonlinear-learning-gradient-descent-takes-the-shortest-path-1812.10004"/></url>
<url><loc>https://scifaro.com/en/abs/joint-embedding-learning-and-low-rank-approximation-a-framework-for-incomplete-multi-view-learning-1812.10012</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-embedding-learning-and-low-rank-approximation-a-framework-for-incomplete-multi-view-learning-1812.10012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-embedding-learning-and-low-rank-approximation-a-framework-for-incomplete-multi-view-learning-1812.10012"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-clustering-of-single-cell-transcriptomic-data-with-split-merge-sampling-on-dirichlet-process-mixtures-1812.10048</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-clustering-of-single-cell-transcriptomic-data-with-split-merge-sampling-on-dirichlet-process-mixtures-1812.10048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-clustering-of-single-cell-transcriptomic-data-with-split-merge-sampling-on-dirichlet-process-mixtures-1812.10048"/></url>
<url><loc>https://scifaro.com/en/abs/ppd-permutation-phase-defense-against-adversarial-examples-in-deep-learning-1812.10049</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ppd-permutation-phase-defense-against-adversarial-examples-in-deep-learning-1812.10049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ppd-permutation-phase-defense-against-adversarial-examples-in-deep-learning-1812.10049"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-order-spectral-clustering-for-networks-1812.10140</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-order-spectral-clustering-for-networks-1812.10140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-order-spectral-clustering-for-networks-1812.10140"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-regularization-in-hierarchical-mixture-of-experts-1812.10158</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-regularization-in-hierarchical-mixture-of-experts-1812.10158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-regularization-in-hierarchical-mixture-of-experts-1812.10158"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-online-gradient-descent-with-improved-query-complexity-a-theoretical-revisit-1812.10186</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-online-gradient-descent-with-improved-query-complexity-a-theoretical-revisit-1812.10186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-online-gradient-descent-with-improved-query-complexity-a-theoretical-revisit-1812.10186"/></url>
<url><loc>https://scifaro.com/en/abs/application-driven-privacy-preserving-data-publishing-with-correlated-attributes-1812.10193</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-driven-privacy-preserving-data-publishing-with-correlated-attributes-1812.10193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-driven-privacy-preserving-data-publishing-with-correlated-attributes-1812.10193"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-concept-of-deep-reinforcement-learning-based-augmented-general-sequence-tagging-system-1812.10234</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-concept-of-deep-reinforcement-learning-based-augmented-general-sequence-tagging-system-1812.10234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-concept-of-deep-reinforcement-learning-based-augmented-general-sequence-tagging-system-1812.10234"/></url>
<url><loc>https://scifaro.com/en/abs/studying-the-plasticity-in-deep-convolutional-neural-networks-using-random-pruning-1812.10240</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/studying-the-plasticity-in-deep-convolutional-neural-networks-using-random-pruning-1812.10240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/studying-the-plasticity-in-deep-convolutional-neural-networks-using-random-pruning-1812.10240"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-theoretical-understanding-of-hashing-based-neural-nets-1812.10244</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-theoretical-understanding-of-hashing-based-neural-nets-1812.10244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-theoretical-understanding-of-hashing-based-neural-nets-1812.10244"/></url>
<url><loc>https://scifaro.com/en/abs/the-coral-algorithm-for-unsupervised-domain-adaptation-of-plda-1812.10260</loc><lastmod>2020-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-coral-algorithm-for-unsupervised-domain-adaptation-of-plda-1812.10260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-coral-algorithm-for-unsupervised-domain-adaptation-of-plda-1812.10260"/></url>
<url><loc>https://scifaro.com/en/abs/ecg-segmentation-by-neural-networks-errors-and-correction-1812.10386</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ecg-segmentation-by-neural-networks-errors-and-correction-1812.10386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ecg-segmentation-by-neural-networks-errors-and-correction-1812.10386"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-trust-region-inexact-newton-method-for-large-scale-machine-learning-1812.10426</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-trust-region-inexact-newton-method-for-large-scale-machine-learning-1812.10426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-trust-region-inexact-newton-method-for-large-scale-machine-learning-1812.10426"/></url>
<url><loc>https://scifaro.com/en/abs/structure-learning-of-sparse-ggms-over-multiple-access-networks-1812.10437</loc><lastmod>2018-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-learning-of-sparse-ggms-over-multiple-access-networks-1812.10437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-learning-of-sparse-ggms-over-multiple-access-networks-1812.10437"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-industrial-process-parameters-using-artificial-intelligence-algorithms-1812.10537</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-industrial-process-parameters-using-artificial-intelligence-algorithms-1812.10537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-industrial-process-parameters-using-artificial-intelligence-algorithms-1812.10537"/></url>
<url><loc>https://scifaro.com/en/abs/blinkml-efficient-maximum-likelihood-estimation-with-probabilistic-guarantees-1812.10564</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blinkml-efficient-maximum-likelihood-estimation-with-probabilistic-guarantees-1812.10564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blinkml-efficient-maximum-likelihood-estimation-with-probabilistic-guarantees-1812.10564"/></url>
<url><loc>https://scifaro.com/en/abs/deconfounding-reinforcement-learning-in-observational-settings-1812.10576</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deconfounding-reinforcement-learning-in-observational-settings-1812.10576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deconfounding-reinforcement-learning-in-observational-settings-1812.10576"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-user-model-for-reinforcement-learning-based-recommendation-system-1812.10613</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-user-model-for-reinforcement-learning-based-recommendation-system-1812.10613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-user-model-for-reinforcement-learning-based-recommendation-system-1812.10613"/></url>
<url><loc>https://scifaro.com/en/abs/features-and-machine-learning-for-correlating-and-classifying-between-brain-areas-and-dyslexia-1812.10622</loc><lastmod>2019-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/features-and-machine-learning-for-correlating-and-classifying-between-brain-areas-and-dyslexia-1812.10622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/features-and-machine-learning-for-correlating-and-classifying-between-brain-areas-and-dyslexia-1812.10622"/></url>
<url><loc>https://scifaro.com/en/abs/stanza-layer-separation-for-distributed-training-in-deep-learning-1812.10624</loc><lastmod>2019-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stanza-layer-separation-for-distributed-training-in-deep-learning-1812.10624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stanza-layer-separation-for-distributed-training-in-deep-learning-1812.10624"/></url>
<url><loc>https://scifaro.com/en/abs/low-latency-privacy-preserving-inference-1812.10659</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-latency-privacy-preserving-inference-1812.10659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-latency-privacy-preserving-inference-1812.10659"/></url>
<url><loc>https://scifaro.com/en/abs/neural-architecture-search-over-a-graph-search-space-1812.10666</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-architecture-search-over-a-graph-search-space-1812.10666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-architecture-search-over-a-graph-search-space-1812.10666"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-to-out-of-distribution-inputs-via-task-aware-generative-uncertainty-1812.10687</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-to-out-of-distribution-inputs-via-task-aware-generative-uncertainty-1812.10687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-to-out-of-distribution-inputs-via-task-aware-generative-uncertainty-1812.10687"/></url>
<url><loc>https://scifaro.com/en/abs/off-the-grid-model-based-deep-learning-o-modl-1812.10747</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-the-grid-model-based-deep-learning-o-modl-1812.10747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-the-grid-model-based-deep-learning-o-modl-1812.10747"/></url>
<url><loc>https://scifaro.com/en/abs/improving-generalization-of-deep-neural-networks-by-leveraging-margin-distribution-1812.10761</loc><lastmod>2024-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-generalization-of-deep-neural-networks-by-leveraging-margin-distribution-1812.10761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-generalization-of-deep-neural-networks-by-leveraging-margin-distribution-1812.10761"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-generative-adversarial-networks-on-explicitly-parameterized-distributions-1812.10782</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-generative-adversarial-networks-on-explicitly-parameterized-distributions-1812.10782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-generative-adversarial-networks-on-explicitly-parameterized-distributions-1812.10782"/></url>
<url><loc>https://scifaro.com/en/abs/automated-adaptation-strategies-for-stream-learning-1812.10793</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-adaptation-strategies-for-stream-learning-1812.10793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-adaptation-strategies-for-stream-learning-1812.10793"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-radiology-reports-by-modality-and-anatomy-a-comparative-study-1812.10818</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-radiology-reports-by-modality-and-anatomy-a-comparative-study-1812.10818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-radiology-reports-by-modality-and-anatomy-a-comparative-study-1812.10818"/></url>
<url><loc>https://scifaro.com/en/abs/hypergraph-clustering-a-modularity-maximization-approach-1812.10869</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypergraph-clustering-a-modularity-maximization-approach-1812.10869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypergraph-clustering-a-modularity-maximization-approach-1812.10869"/></url>
<url><loc>https://scifaro.com/en/abs/instagan-instance-aware-image-to-image-translation-1812.10889</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instagan-instance-aware-image-to-image-translation-1812.10889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instagan-instance-aware-image-to-image-translation-1812.10889"/></url>
<url><loc>https://scifaro.com/en/abs/on-computation-and-generalization-of-gans-with-spectrum-control-1812.10912</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-computation-and-generalization-of-gans-with-spectrum-control-1812.10912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-computation-and-generalization-of-gans-with-spectrum-control-1812.10912"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-interpretability-of-deep-neural-networks-with-knowledge-distillation-1812.10924</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-interpretability-of-deep-neural-networks-with-knowledge-distillation-1812.10924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-interpretability-of-deep-neural-networks-with-knowledge-distillation-1812.10924"/></url>
<url><loc>https://scifaro.com/en/abs/reasoning-about-physical-interactions-with-object-oriented-prediction-and-planning-1812.10972</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reasoning-about-physical-interactions-with-object-oriented-prediction-and-planning-1812.10972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reasoning-about-physical-interactions-with-object-oriented-prediction-and-planning-1812.10972"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-weight-symmetry-in-deep-neural-networks-1812.11027</loc><lastmod>2019-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-weight-symmetry-in-deep-neural-networks-1812.11027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-weight-symmetry-in-deep-neural-networks-1812.11027"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-benefit-of-width-for-neural-networks-disappearance-of-bad-basins-1812.11039</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-benefit-of-width-for-neural-networks-disappearance-of-bad-basins-1812.11039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-benefit-of-width-for-neural-networks-disappearance-of-bad-basins-1812.11039"/></url>
<url><loc>https://scifaro.com/en/abs/deep-ptych-subsampled-fourier-ptychography-using-generative-priors-1812.11065</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-ptych-subsampled-fourier-ptychography-using-generative-priors-1812.11065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-ptych-subsampled-fourier-ptychography-using-generative-priors-1812.11065"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-walk-via-deep-reinforcement-learning-1812.11103</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-walk-via-deep-reinforcement-learning-1812.11103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-walk-via-deep-reinforcement-learning-1812.11103"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-gam-using-sparse-variational-gaussian-processes-1812.11106</loc><lastmod>2018-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-gam-using-sparse-variational-gaussian-processes-1812.11106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-gam-using-sparse-variational-gaussian-processes-1812.11106"/></url>
<url><loc>https://scifaro.com/en/abs/differential-temporal-difference-learning-1812.11137</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-temporal-difference-learning-1812.11137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-temporal-difference-learning-1812.11137"/></url>
<url><loc>https://scifaro.com/en/abs/state-representation-learning-with-recurrent-capsule-networks-1812.11202</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-representation-learning-with-recurrent-capsule-networks-1812.11202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-representation-learning-with-recurrent-capsule-networks-1812.11202"/></url>
<url><loc>https://scifaro.com/en/abs/kymatio-scattering-transforms-in-python-1812.11214</loc><lastmod>2022-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kymatio-scattering-transforms-in-python-1812.11214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kymatio-scattering-transforms-in-python-1812.11214"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-planning-networks-1812.11240</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-planning-networks-1812.11240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-planning-networks-1812.11240"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoder-based-residual-deep-networks-for-robust-regression-prediction-and-spatiotemporal-estimation-1812.11262</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoder-based-residual-deep-networks-for-robust-regression-prediction-and-spatiotemporal-estimation-1812.11262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoder-based-residual-deep-networks-for-robust-regression-prediction-and-spatiotemporal-estimation-1812.11262"/></url>
<url><loc>https://scifaro.com/en/abs/learn-to-interpret-atari-agents-1812.11276</loc><lastmod>2023-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-to-interpret-atari-agents-1812.11276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-to-interpret-atari-agents-1812.11276"/></url>
<url><loc>https://scifaro.com/en/abs/spi-optimizer-an-integral-separated-pi-controller-for-stochastic-optimization-1812.11305</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spi-optimizer-an-integral-separated-pi-controller-for-stochastic-optimization-1812.11305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spi-optimizer-an-integral-separated-pi-controller-for-stochastic-optimization-1812.11305"/></url>
<url><loc>https://scifaro.com/en/abs/meta-reinforcement-learning-with-distribution-of-exploration-parameters-learned-by-evolution-strategies-1812.11314</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-reinforcement-learning-with-distribution-of-exploration-parameters-learned-by-evolution-strategies-1812.11314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-reinforcement-learning-with-distribution-of-exploration-parameters-learned-by-evolution-strategies-1812.11314"/></url>
<url><loc>https://scifaro.com/en/abs/quantized-guided-pruning-for-efficient-hardware-implementations-of-convolutional-neural-networks-1812.11337</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantized-guided-pruning-for-efficient-hardware-implementations-of-convolutional-neural-networks-1812.11337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantized-guided-pruning-for-efficient-hardware-implementations-of-convolutional-neural-networks-1812.11337"/></url>
<url><loc>https://scifaro.com/en/abs/hessian-aware-zeroth-order-optimization-for-black-box-adversarial-attack-1812.11377</loc><lastmod>2019-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hessian-aware-zeroth-order-optimization-for-black-box-adversarial-attack-1812.11377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hessian-aware-zeroth-order-optimization-for-black-box-adversarial-attack-1812.11377"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-layerwise-learning-can-scale-to-imagenet-1812.11446</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-layerwise-learning-can-scale-to-imagenet-1812.11446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-layerwise-learning-can-scale-to-imagenet-1812.11446"/></url>
<url><loc>https://scifaro.com/en/abs/exact-guarantees-on-the-absence-of-spurious-local-minima-for-non-negative-rank-1-robust-principal-component-analysis-1812.11466</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-guarantees-on-the-absence-of-spurious-local-minima-for-non-negative-rank-1-robust-principal-component-analysis-1812.11466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-guarantees-on-the-absence-of-spurious-local-minima-for-non-negative-rank-1-robust-principal-component-analysis-1812.11466"/></url>
<url><loc>https://scifaro.com/en/abs/origami-a-heterogeneous-split-architecture-for-in-memory-acceleration-of-learning-1812.11473</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/origami-a-heterogeneous-split-architecture-for-in-memory-acceleration-of-learning-1812.11473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/origami-a-heterogeneous-split-architecture-for-in-memory-acceleration-of-learning-1812.11473"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-in-resting-state-fmri-analysis-1812.11477</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-in-resting-state-fmri-analysis-1812.11477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-in-resting-state-fmri-analysis-1812.11477"/></url>
<url><loc>https://scifaro.com/en/abs/improving-forecasting-accuracy-of-time-series-data-using-a-new-arima-ann-hybrid-method-and-empirical-mode-decomposition-1812.11526</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-forecasting-accuracy-of-time-series-data-using-a-new-arima-ann-hybrid-method-and-empirical-mode-decomposition-1812.11526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-forecasting-accuracy-of-time-series-data-using-a-new-arima-ann-hybrid-method-and-empirical-mode-decomposition-1812.11526"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-between-deepesns-and-gated-rnns-on-multivariate-time-series-prediction-1812.11527</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-between-deepesns-and-gated-rnns-on-multivariate-time-series-prediction-1812.11527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-between-deepesns-and-gated-rnns-on-multivariate-time-series-prediction-1812.11527"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-aircraft-trajectories-a-deep-generative-convolutional-recurrent-neural-networks-approach-1812.11670</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-aircraft-trajectories-a-deep-generative-convolutional-recurrent-neural-networks-approach-1812.11670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-aircraft-trajectories-a-deep-generative-convolutional-recurrent-neural-networks-approach-1812.11670"/></url>
<url><loc>https://scifaro.com/en/abs/soft-autoencoder-and-its-wavelet-adaptation-interpretation-1812.11675</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-autoencoder-and-its-wavelet-adaptation-interpretation-1812.11675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-autoencoder-and-its-wavelet-adaptation-interpretation-1812.11675"/></url>
<url><loc>https://scifaro.com/en/abs/admm-nn-an-algorithm-hardware-co-design-framework-of-dnns-using-alternating-direction-method-of-multipliers-1812.11677</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/admm-nn-an-algorithm-hardware-co-design-framework-of-dnns-using-alternating-direction-method-of-multipliers-1812.11677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/admm-nn-an-algorithm-hardware-co-design-framework-of-dnns-using-alternating-direction-method-of-multipliers-1812.11677"/></url>
<url><loc>https://scifaro.com/en/abs/deep-residual-learning-in-the-jpeg-transform-domain-1812.11690</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-residual-learning-in-the-jpeg-transform-domain-1812.11690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-residual-learning-in-the-jpeg-transform-domain-1812.11690"/></url>
<url><loc>https://scifaro.com/en/abs/batch-size-influence-on-performance-of-graphic-and-tensor-processing-units-during-training-and-inference-phases-1812.11731</loc><lastmod>2019-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-size-influence-on-performance-of-graphic-and-tensor-processing-units-during-training-and-inference-phases-1812.11731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-size-influence-on-performance-of-graphic-and-tensor-processing-units-during-training-and-inference-phases-1812.11731"/></url>
<url><loc>https://scifaro.com/en/abs/per-tensor-fixed-point-quantization-of-the-back-propagation-algorithm-1812.11732</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/per-tensor-fixed-point-quantization-of-the-back-propagation-algorithm-1812.11732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/per-tensor-fixed-point-quantization-of-the-back-propagation-algorithm-1812.11732"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-via-over-the-air-computation-1812.11750</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-via-over-the-air-computation-1812.11750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-via-over-the-air-computation-1812.11750"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-active-learning-with-cluster-annotation-1812.11780</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-active-learning-with-cluster-annotation-1812.11780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-active-learning-with-cluster-annotation-1812.11780"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-multi-agent-systems-a-review-of-challenges-solutions-and-applications-1812.11794</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-multi-agent-systems-a-review-of-challenges-solutions-and-applications-1812.11794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-multi-agent-systems-a-review-of-challenges-solutions-and-applications-1812.11794"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-binary-network-training-1812.11800</loc><lastmod>2020-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-binary-network-training-1812.11800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-binary-network-training-1812.11800"/></url>
<url><loc>https://scifaro.com/en/abs/an-introduction-to-domain-adaptation-and-transfer-learning-1812.11806</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-introduction-to-domain-adaptation-and-transfer-learning-1812.11806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-introduction-to-domain-adaptation-and-transfer-learning-1812.11806"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-topological-geometrical-theory-of-group-equivariant-non-expansive-operators-for-data-analysis-and-machine-learning-1812.11832</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-topological-geometrical-theory-of-group-equivariant-non-expansive-operators-for-data-analysis-and-machine-learning-1812.11832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-topological-geometrical-theory-of-group-equivariant-non-expansive-operators-for-data-analysis-and-machine-learning-1812.11832"/></url>
<url><loc>https://scifaro.com/en/abs/latent-variable-modeling-for-generative-concept-representations-and-deep-generative-models-1812.11856</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-variable-modeling-for-generative-concept-representations-and-deep-generative-models-1812.11856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-variable-modeling-for-generative-concept-representations-and-deep-generative-models-1812.11856"/></url>
<url><loc>https://scifaro.com/en/abs/a-discrete-version-of-cma-es-1812.11859</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-discrete-version-of-cma-es-1812.11859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-discrete-version-of-cma-es-1812.11859"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-design-rna-1812.11951</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-design-rna-1812.11951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-design-rna-1812.11951"/></url>
<url><loc>https://scifaro.com/en/abs/gray-box-adversarial-testing-for-control-systems-with-machine-learning-component-1812.11958</loc><lastmod>2019-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gray-box-adversarial-testing-for-control-systems-with-machine-learning-component-1812.11958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gray-box-adversarial-testing-for-control-systems-with-machine-learning-component-1812.11958"/></url>
<url><loc>https://scifaro.com/en/abs/convex-relaxations-of-convolutional-neural-nets-1901.00035</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-relaxations-of-convolutional-neural-nets-1901.00035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-relaxations-of-convolutional-neural-nets-1901.00035"/></url>
<url><loc>https://scifaro.com/en/abs/determining-principal-component-cardinality-through-the-principle-of-minimum-description-length-1901.00059</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/determining-principal-component-cardinality-through-the-principle-of-minimum-description-length-1901.00059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/determining-principal-component-cardinality-through-the-principle-of-minimum-description-length-1901.00059"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-networks-for-time-series-forecasting-1901.00069</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-networks-for-time-series-forecasting-1901.00069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-networks-for-time-series-forecasting-1901.00069"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-spectro-temporal-features-in-end-to-end-convolutional-neural-networks-1901.00072</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-spectro-temporal-features-in-end-to-end-convolutional-neural-networks-1901.00072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-spectro-temporal-features-in-end-to-end-convolutional-neural-networks-1901.00072"/></url>
<url><loc>https://scifaro.com/en/abs/morphological-network-how-far-can-we-go-with-morphological-neurons-1901.00109</loc><lastmod>2022-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/morphological-network-how-far-can-we-go-with-morphological-neurons-1901.00109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/morphological-network-how-far-can-we-go-with-morphological-neurons-1901.00109"/></url>
<url><loc>https://scifaro.com/en/abs/an-active-learning-framework-for-efficient-robust-policy-search-1901.00117</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-active-learning-framework-for-efficient-robust-policy-search-1901.00117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-active-learning-framework-for-efficient-robust-policy-search-1901.00117"/></url>
<url><loc>https://scifaro.com/en/abs/realizing-data-features-by-deep-nets-1901.00130</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/realizing-data-features-by-deep-nets-1901.00130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/realizing-data-features-by-deep-nets-1901.00130"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretical-analysis-of-deep-q-learning-1901.00137</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-analysis-of-deep-q-learning-1901.00137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-analysis-of-deep-q-learning-1901.00137"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-multiscale-dimension-reduction-for-spatial-interaction-networks-1901.00172</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-multiscale-dimension-reduction-for-spatial-interaction-networks-1901.00172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-multiscale-dimension-reduction-for-spatial-interaction-networks-1901.00172"/></url>
<url><loc>https://scifaro.com/en/abs/complementary-reinforcement-learning-towards-explainable-agents-1901.00188</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complementary-reinforcement-learning-towards-explainable-agents-1901.00188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complementary-reinforcement-learning-towards-explainable-agents-1901.00188"/></url>
<url><loc>https://scifaro.com/en/abs/tighter-problem-dependent-regret-bounds-in-reinforcement-learning-without-domain-knowledge-using-value-function-bounds-1901.00210</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tighter-problem-dependent-regret-bounds-in-reinforcement-learning-without-domain-knowledge-using-value-function-bounds-1901.00210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tighter-problem-dependent-regret-bounds-in-reinforcement-learning-without-domain-knowledge-using-value-function-bounds-1901.00210"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-with-distributed-data-1901.00214</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-with-distributed-data-1901.00214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-with-distributed-data-1901.00214"/></url>
<url><loc>https://scifaro.com/en/abs/opportunistic-learning-budgeted-cost-sensitive-learning-from-data-streams-1901.00243</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opportunistic-learning-budgeted-cost-sensitive-learning-from-data-streams-1901.00243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opportunistic-learning-budgeted-cost-sensitive-learning-from-data-streams-1901.00243"/></url>
<url><loc>https://scifaro.com/en/abs/natively-interpretable-machine-learning-and-artificial-intelligence-preliminary-results-and-future-directions-1901.00246</loc><lastmod>2019-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natively-interpretable-machine-learning-and-artificial-intelligence-preliminary-results-and-future-directions-1901.00246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natively-interpretable-machine-learning-and-artificial-intelligence-preliminary-results-and-future-directions-1901.00246"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-multi-output-learning-1901.00248</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-multi-output-learning-1901.00248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-multi-output-learning-1901.00248"/></url>
<url><loc>https://scifaro.com/en/abs/multi-level-cnn-for-lung-nodule-classification-with-gaussian-process-assisted-hyperparameter-optimization-1901.00276</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-level-cnn-for-lung-nodule-classification-with-gaussian-process-assisted-hyperparameter-optimization-1901.00276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-level-cnn-for-lung-nodule-classification-with-gaussian-process-assisted-hyperparameter-optimization-1901.00276"/></url>
<url><loc>https://scifaro.com/en/abs/elimination-of-all-bad-local-minima-in-deep-learning-1901.00279</loc><lastmod>2020-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elimination-of-all-bad-local-minima-in-deep-learning-1901.00279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elimination-of-all-bad-local-minima-in-deep-learning-1901.00279"/></url>
<url><loc>https://scifaro.com/en/abs/warm-starting-contextual-bandits-robustly-combining-supervised-and-bandit-feedback-1901.00301</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/warm-starting-contextual-bandits-robustly-combining-supervised-and-bandit-feedback-1901.00301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/warm-starting-contextual-bandits-robustly-combining-supervised-and-bandit-feedback-1901.00301"/></url>
<url><loc>https://scifaro.com/en/abs/a-full-probabilistic-model-for-yes-no-type-crowdsourcing-in-multi-class-classification-1901.00397</loc><lastmod>2019-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-full-probabilistic-model-for-yes-no-type-crowdsourcing-in-multi-class-classification-1901.00397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-full-probabilistic-model-for-yes-no-type-crowdsourcing-in-multi-class-classification-1901.00397"/></url>
<url><loc>https://scifaro.com/en/abs/the-capacity-of-feedforward-neural-networks-1901.00434</loc><lastmod>2019-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-capacity-of-feedforward-neural-networks-1901.00434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-capacity-of-feedforward-neural-networks-1901.00434"/></url>
<url><loc>https://scifaro.com/en/abs/bmf-block-matrix-approach-to-factorization-of-large-scale-data-1901.00444</loc><lastmod>2019-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bmf-block-matrix-approach-to-factorization-of-large-scale-data-1901.00444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bmf-block-matrix-approach-to-factorization-of-large-scale-data-1901.00444"/></url>
<url><loc>https://scifaro.com/en/abs/sgd-converges-to-global-minimum-in-deep-learning-via-star-convex-path-1901.00451</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgd-converges-to-global-minimum-in-deep-learning-via-star-convex-path-1901.00451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgd-converges-to-global-minimum-in-deep-learning-via-star-convex-path-1901.00451"/></url>
<url><loc>https://scifaro.com/en/abs/a-cnn-adapted-to-time-series-for-the-classification-of-supernovae-1901.00461</loc><lastmod>2019-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-cnn-adapted-to-time-series-for-the-classification-of-supernovae-1901.00461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-cnn-adapted-to-time-series-for-the-classification-of-supernovae-1901.00461"/></url>
<url><loc>https://scifaro.com/en/abs/honey-authentication-with-machine-learning-augmented-bright-field-microscopy-1901.00516</loc><lastmod>2023-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/honey-authentication-with-machine-learning-augmented-bright-field-microscopy-1901.00516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/honey-authentication-with-machine-learning-augmented-bright-field-microscopy-1901.00516"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-may-be-at-odds-with-simplicity-1901.00532</loc><lastmod>2019-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-may-be-at-odds-with-simplicity-1901.00532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-may-be-at-odds-with-simplicity-1901.00532"/></url>
<url><loc>https://scifaro.com/en/abs/multi-class-classification-without-multi-class-labels-1901.00544</loc><lastmod>2019-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-class-classification-without-multi-class-labels-1901.00544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-class-classification-without-multi-class-labels-1901.00544"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-adversarial-perturbations-1901.00546</loc><lastmod>2019-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-adversarial-perturbations-1901.00546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-adversarial-perturbations-1901.00546"/></url>
<url><loc>https://scifaro.com/en/abs/instance-based-classification-through-hypothesis-testing-1901.00560</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-based-classification-through-hypothesis-testing-1901.00560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-based-classification-through-hypothesis-testing-1901.00560"/></url>
<url><loc>https://scifaro.com/en/abs/human-like-autonomous-car-following-model-with-deep-reinforcement-learning-1901.00569</loc><lastmod>2019-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-like-autonomous-car-following-model-with-deep-reinforcement-learning-1901.00569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-like-autonomous-car-following-model-with-deep-reinforcement-learning-1901.00569"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-multi-dimensional-spatial-variation-data-via-bayesian-tensor-completion-1901.00578</loc><lastmod>2019-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-multi-dimensional-spatial-variation-data-via-bayesian-tensor-completion-1901.00578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-multi-dimensional-spatial-variation-data-via-bayesian-tensor-completion-1901.00578"/></url>
<url><loc>https://scifaro.com/en/abs/a-comprehensive-survey-on-graph-neural-networks-1901.00596</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comprehensive-survey-on-graph-neural-networks-1901.00596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comprehensive-survey-on-graph-neural-networks-1901.00596"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-learning-of-a-sampler-based-on-an-unnormalized-distribution-1901.00612</loc><lastmod>2019-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-learning-of-a-sampler-based-on-an-unnormalized-distribution-1901.00612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-learning-of-a-sampler-based-on-an-unnormalized-distribution-1901.00612"/></url>
<url><loc>https://scifaro.com/en/abs/volumetric-convolution-automatic-representation-learning-in-unit-ball-1901.00616</loc><lastmod>2019-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/volumetric-convolution-automatic-representation-learning-in-unit-ball-1901.00616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/volumetric-convolution-automatic-representation-learning-in-unit-ball-1901.00616"/></url>
<url><loc>https://scifaro.com/en/abs/resource-scalable-cnn-synthesis-for-iot-applications-1901.00738</loc><lastmod>2019-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resource-scalable-cnn-synthesis-for-iot-applications-1901.00738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resource-scalable-cnn-synthesis-for-iot-applications-1901.00738"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-explanation-in-machine-learning-a-conceptualization-1901.00770</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-explanation-in-machine-learning-a-conceptualization-1901.00770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-explanation-in-machine-learning-a-conceptualization-1901.00770"/></url>
<url><loc>https://scifaro.com/en/abs/a-2-net-molecular-structure-estimation-from-cryo-em-density-volumes-1901.00785</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-2-net-molecular-structure-estimation-from-cryo-em-density-volumes-1901.00785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-2-net-molecular-structure-estimation-from-cryo-em-density-volumes-1901.00785"/></url>
<url><loc>https://scifaro.com/en/abs/towards-global-remote-discharge-estimation-using-the-few-to-estimate-the-many-1901.00786</loc><lastmod>2019-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-global-remote-discharge-estimation-using-the-few-to-estimate-the-many-1901.00786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-global-remote-discharge-estimation-using-the-few-to-estimate-the-many-1901.00786"/></url>
<url><loc>https://scifaro.com/en/abs/on-finding-local-nash-equilibria-and-only-local-nash-equilibria-in-zero-sum-games-1901.00838</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-finding-local-nash-equilibria-and-only-local-nash-equilibria-in-zero-sum-games-1901.00838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-finding-local-nash-equilibria-and-only-local-nash-equilibria-in-zero-sum-games-1901.00838"/></url>
<url><loc>https://scifaro.com/en/abs/hg-caffe-mobile-and-embedded-neural-network-gpu-opencl-inference-engine-with-fp16-supporting-1901.00858</loc><lastmod>2019-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hg-caffe-mobile-and-embedded-neural-network-gpu-opencl-inference-engine-with-fp16-supporting-1901.00858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hg-caffe-mobile-and-embedded-neural-network-gpu-opencl-inference-engine-with-fp16-supporting-1901.00858"/></url>
<url><loc>https://scifaro.com/en/abs/learning-nonlinear-state-space-models-with-hamiltonian-sequential-monte-carlo-sampler-1901.00862</loc><lastmod>2019-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-nonlinear-state-space-models-with-hamiltonian-sequential-monte-carlo-sampler-1901.00862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-nonlinear-state-space-models-with-hamiltonian-sequential-monte-carlo-sampler-1901.00862"/></url>
<url><loc>https://scifaro.com/en/abs/a-network-based-multimodal-data-fusion-approach-for-characterizing-dynamic-multimodal-physiological-patterns-1901.00877</loc><lastmod>2019-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-network-based-multimodal-data-fusion-approach-for-characterizing-dynamic-multimodal-physiological-patterns-1901.00877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-network-based-multimodal-data-fusion-approach-for-characterizing-dynamic-multimodal-physiological-patterns-1901.00877"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-match-probably-does-not-accurately-assess-the-similarity-of-learned-representations-1901.00884</loc><lastmod>2019-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-match-probably-does-not-accurately-assess-the-similarity-of-learned-representations-1901.00884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-match-probably-does-not-accurately-assess-the-similarity-of-learned-representations-1901.00884"/></url>
<url><loc>https://scifaro.com/en/abs/imminent-collision-mitigation-with-reinforcement-learning-and-vision-1901.00898</loc><lastmod>2019-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imminent-collision-mitigation-with-reinforcement-learning-and-vision-1901.00898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imminent-collision-mitigation-with-reinforcement-learning-and-vision-1901.00898"/></url>
<url><loc>https://scifaro.com/en/abs/a-model-for-learned-bloom-filters-and-optimizing-by-sandwiching-1901.00902</loc><lastmod>2019-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-model-for-learned-bloom-filters-and-optimizing-by-sandwiching-1901.00902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-model-for-learned-bloom-filters-and-optimizing-by-sandwiching-1901.00902"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-learning-of-image-embedding-for-continuous-control-1901.00943</loc><lastmod>2019-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-learning-of-image-embedding-for-continuous-control-1901.00943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-learning-of-image-embedding-for-continuous-control-1901.00943"/></url>
<url><loc>https://scifaro.com/en/abs/space-expansion-of-feature-selection-for-designing-more-accurate-error-predictors-1901.00952</loc><lastmod>2019-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/space-expansion-of-feature-selection-for-designing-more-accurate-error-predictors-1901.00952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/space-expansion-of-feature-selection-for-designing-more-accurate-error-predictors-1901.00952"/></url>
<url><loc>https://scifaro.com/en/abs/qflow-a-learning-approach-to-high-qoe-video-streaming-at-the-wireless-edge-1901.00959</loc><lastmod>2020-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qflow-a-learning-approach-to-high-qoe-video-streaming-at-the-wireless-edge-1901.00959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qflow-a-learning-approach-to-high-qoe-video-streaming-at-the-wireless-edge-1901.00959"/></url>
<url><loc>https://scifaro.com/en/abs/concentration-bounds-for-cvar-estimation-the-cases-of-light-tailed-and-heavy-tailed-distributions-1901.00997</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concentration-bounds-for-cvar-estimation-the-cases-of-light-tailed-and-heavy-tailed-distributions-1901.00997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concentration-bounds-for-cvar-estimation-the-cases-of-light-tailed-and-heavy-tailed-distributions-1901.00997"/></url>
<url><loc>https://scifaro.com/en/abs/on-reproducing-kernel-banach-spaces-generic-definitions-and-unified-framework-of-constructions-1901.01002</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-reproducing-kernel-banach-spaces-generic-definitions-and-unified-framework-of-constructions-1901.01002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-reproducing-kernel-banach-spaces-generic-definitions-and-unified-framework-of-constructions-1901.01002"/></url>
<url><loc>https://scifaro.com/en/abs/fpdeep-scalable-acceleration-of-cnn-training-on-deeply-pipelined-fpga-clusters-1901.01007</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fpdeep-scalable-acceleration-of-cnn-training-on-deeply-pipelined-fpga-clusters-1901.01007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fpdeep-scalable-acceleration-of-cnn-training-on-deeply-pipelined-fpga-clusters-1901.01007"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graph-embedding-with-adversarial-training-methods-1901.01250</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graph-embedding-with-adversarial-training-methods-1901.01250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graph-embedding-with-adversarial-training-methods-1901.01250"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-decision-making-in-mixed-agent-partially-observable-stochastic-environments-via-reinforcement-learning-1901.01325</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-decision-making-in-mixed-agent-partially-observable-stochastic-environments-via-reinforcement-learning-1901.01325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-decision-making-in-mixed-agent-partially-observable-stochastic-environments-via-reinforcement-learning-1901.01325"/></url>
<url><loc>https://scifaro.com/en/abs/sheaves-a-topological-approach-to-big-data-1901.01341</loc><lastmod>2019-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sheaves-a-topological-approach-to-big-data-1901.01341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sheaves-a-topological-approach-to-big-data-1901.01341"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-with-convolutional-arma-filters-1901.01343</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-with-convolutional-arma-filters-1901.01343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-with-convolutional-arma-filters-1901.01343"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-representation-learning-using-random-walks-for-dynamic-graphs-1901.01346</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-representation-learning-using-random-walks-for-dynamic-graphs-1901.01346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-representation-learning-using-random-walks-for-dynamic-graphs-1901.01346"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-remember-more-with-less-memorization-1901.01347</loc><lastmod>2019-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-remember-more-with-less-memorization-1901.01347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-remember-more-with-less-memorization-1901.01347"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-reinforcement-learning-via-advantage-weighted-information-maximization-1901.01365</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-via-advantage-weighted-information-maximization-1901.01365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-via-advantage-weighted-information-maximization-1901.01365"/></url>
<url><loc>https://scifaro.com/en/abs/population-guided-large-margin-classifier-for-high-dimension-low-sample-size-problems-1901.01377</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/population-guided-large-margin-classifier-for-high-dimension-low-sample-size-problems-1901.01377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/population-guided-large-margin-classifier-for-high-dimension-low-sample-size-problems-1901.01377"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-imbalanced-classification-1901.01379</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-imbalanced-classification-1901.01379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-imbalanced-classification-1901.01379"/></url>
<url><loc>https://scifaro.com/en/abs/poincar-e-wasserstein-autoencoder-1901.01427</loc><lastmod>2020-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poincar-e-wasserstein-autoencoder-1901.01427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poincar-e-wasserstein-autoencoder-1901.01427"/></url>
<url><loc>https://scifaro.com/en/abs/lanczosnet-multi-scale-deep-graph-convolutional-networks-1901.01484</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lanczosnet-multi-scale-deep-graph-convolutional-networks-1901.01484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lanczosnet-multi-scale-deep-graph-convolutional-networks-1901.01484"/></url>
<url><loc>https://scifaro.com/en/abs/channel-locality-block-a-variant-of-squeeze-and-excitation-1901.01493</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/channel-locality-block-a-variant-of-squeeze-and-excitation-1901.01493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/channel-locality-block-a-variant-of-squeeze-and-excitation-1901.01493"/></url>
<url><loc>https://scifaro.com/en/abs/mae-mutual-posterior-divergence-regularization-for-variational-autoencoders-1901.01498</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mae-mutual-posterior-divergence-regularization-for-variational-autoencoders-1901.01498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mae-mutual-posterior-divergence-regularization-for-variational-autoencoders-1901.01498"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-un-interpretability-of-natural-image-distributions-using-generative-models-1901.01499</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-un-interpretability-of-natural-image-distributions-using-generative-models-1901.01499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-un-interpretability-of-natural-image-distributions-using-generative-models-1901.01499"/></url>
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<url><loc>https://scifaro.com/en/abs/bandwidth-reduction-using-importance-weighted-pruning-on-ring-allreduce-1901.01544</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandwidth-reduction-using-importance-weighted-pruning-on-ring-allreduce-1901.01544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandwidth-reduction-using-importance-weighted-pruning-on-ring-allreduce-1901.01544"/></url>
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<url><loc>https://scifaro.com/en/abs/pyod-a-python-toolbox-for-scalable-outlier-detection-1901.01588</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pyod-a-python-toolbox-for-scalable-outlier-detection-1901.01588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pyod-a-python-toolbox-for-scalable-outlier-detection-1901.01588"/></url>
<url><loc>https://scifaro.com/en/abs/sharp-restricted-isometry-bounds-for-the-inexistence-of-spurious-local-minima-in-nonconvex-matrix-recovery-1901.01631</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharp-restricted-isometry-bounds-for-the-inexistence-of-spurious-local-minima-in-nonconvex-matrix-recovery-1901.01631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharp-restricted-isometry-bounds-for-the-inexistence-of-spurious-local-minima-in-nonconvex-matrix-recovery-1901.01631"/></url>
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<url><loc>https://scifaro.com/en/abs/ten-ways-to-fool-the-masses-with-machine-learning-1901.01686</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ten-ways-to-fool-the-masses-with-machine-learning-1901.01686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ten-ways-to-fool-the-masses-with-machine-learning-1901.01686"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bridge-constructs-for-approximate-gaussian-process-regression-1901.01727</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bridge-constructs-for-approximate-gaussian-process-regression-1901.01727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bridge-constructs-for-approximate-gaussian-process-regression-1901.01727"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-networks-for-financial-trading-strategies-fine-tuning-and-combination-1901.01751</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-financial-trading-strategies-fine-tuning-and-combination-1901.01751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-financial-trading-strategies-fine-tuning-and-combination-1901.01751"/></url>
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<url><loc>https://scifaro.com/en/abs/stochastic-approximation-algorithms-for-principal-component-analysis-1901.01798</loc><lastmod>2019-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-approximation-algorithms-for-principal-component-analysis-1901.01798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-approximation-algorithms-for-principal-component-analysis-1901.01798"/></url>
<url><loc>https://scifaro.com/en/abs/jecl-joint-embedding-and-cluster-learning-for-image-text-pairs-1901.01860</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jecl-joint-embedding-and-cluster-learning-for-image-text-pairs-1901.01860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jecl-joint-embedding-and-cluster-learning-for-image-text-pairs-1901.01860"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-goal-directed-reinforcement-learning-by-model-characterization-1901.01977</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-goal-directed-reinforcement-learning-by-model-characterization-1901.01977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-goal-directed-reinforcement-learning-by-model-characterization-1901.01977"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-convolutional-neural-network-training-with-direct-feedback-alignment-1901.01986</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-convolutional-neural-network-training-with-direct-feedback-alignment-1901.01986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-convolutional-neural-network-training-with-direct-feedback-alignment-1901.01986"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-control-nets-for-deep-reinforcement-learning-1901.01994</loc><lastmod>2019-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-control-nets-for-deep-reinforcement-learning-1901.01994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-control-nets-for-deep-reinforcement-learning-1901.01994"/></url>
<url><loc>https://scifaro.com/en/abs/analogy-based-preference-learning-with-kernels-1901.02001</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analogy-based-preference-learning-with-kernels-1901.02001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analogy-based-preference-learning-with-kernels-1901.02001"/></url>
<url><loc>https://scifaro.com/en/abs/semi-parametric-dynamic-contextual-pricing-1901.02045</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-parametric-dynamic-contextual-pricing-1901.02045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-parametric-dynamic-contextual-pricing-1901.02045"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-perspective-on-machine-learning-how-to-do-perfect-supervised-learning-1901.02046</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-perspective-on-machine-learning-how-to-do-perfect-supervised-learning-1901.02046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-perspective-on-machine-learning-how-to-do-perfect-supervised-learning-1901.02046"/></url>
<url><loc>https://scifaro.com/en/abs/multi-source-transfer-learning-for-non-stationary-environments-1901.02052</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-source-transfer-learning-for-non-stationary-environments-1901.02052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-source-transfer-learning-for-non-stationary-environments-1901.02052"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-end-to-end-diagnosis-framework-for-manufacturing-systems-1901.02057</loc><lastmod>2022-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-end-to-end-diagnosis-framework-for-manufacturing-systems-1901.02057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-end-to-end-diagnosis-framework-for-manufacturing-systems-1901.02057"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-agglomerative-clustering-1901.02063</loc><lastmod>2023-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-agglomerative-clustering-1901.02063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-agglomerative-clustering-1901.02063"/></url>
<url><loc>https://scifaro.com/en/abs/dataflow-based-joint-quantization-of-weights-and-activations-for-deep-neural-networks-1901.02064</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dataflow-based-joint-quantization-of-weights-and-activations-for-deep-neural-networks-1901.02064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dataflow-based-joint-quantization-of-weights-and-activations-for-deep-neural-networks-1901.02064"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-admm-for-distributed-medical-machine-learning-1901.02094</loc><lastmod>2020-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-admm-for-distributed-medical-machine-learning-1901.02094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-admm-for-distributed-medical-machine-learning-1901.02094"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-dimensionality-of-embeddings-for-sparse-features-and-data-1901.02103</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-dimensionality-of-embeddings-for-sparse-features-and-data-1901.02103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-dimensionality-of-embeddings-for-sparse-features-and-data-1901.02103"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effect-of-the-activation-function-on-the-distribution-of-hidden-nodes-in-a-deep-network-1901.02104</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effect-of-the-activation-function-on-the-distribution-of-hidden-nodes-in-a-deep-network-1901.02104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effect-of-the-activation-function-on-the-distribution-of-hidden-nodes-in-a-deep-network-1901.02104"/></url>
<url><loc>https://scifaro.com/en/abs/guidelines-and-benchmarks-for-deployment-of-deep-learning-models-on-smartphones-as-real-time-apps-1901.02144</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guidelines-and-benchmarks-for-deployment-of-deep-learning-models-on-smartphones-as-real-time-apps-1901.02144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guidelines-and-benchmarks-for-deployment-of-deep-learning-models-on-smartphones-as-real-time-apps-1901.02144"/></url>
<url><loc>https://scifaro.com/en/abs/audio-captcha-recognition-using-rastaplp-features-by-svm-1901.02153</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/audio-captcha-recognition-using-rastaplp-features-by-svm-1901.02153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/audio-captcha-recognition-using-rastaplp-features-by-svm-1901.02153"/></url>
<url><loc>https://scifaro.com/en/abs/risk-aware-active-inverse-reinforcement-learning-1901.02161</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-aware-active-inverse-reinforcement-learning-1901.02161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-aware-active-inverse-reinforcement-learning-1901.02161"/></url>
<url><loc>https://scifaro.com/en/abs/data-masking-with-privacy-guarantees-1901.02185</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-masking-with-privacy-guarantees-1901.02185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-masking-with-privacy-guarantees-1901.02185"/></url>
<url><loc>https://scifaro.com/en/abs/figr-few-shot-image-generation-with-reptile-1901.02199</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/figr-few-shot-image-generation-with-reptile-1901.02199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/figr-few-shot-image-generation-with-reptile-1901.02199"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-based-out-of-distribution-detection-in-deep-reinforcement-learning-1901.02219</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-based-out-of-distribution-detection-in-deep-reinforcement-learning-1901.02219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-based-out-of-distribution-detection-in-deep-reinforcement-learning-1901.02219"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-network-approximation-theory-1901.02220</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-approximation-theory-1901.02220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-approximation-theory-1901.02220"/></url>
<url><loc>https://scifaro.com/en/abs/soft-bayes-prod-for-mixtures-of-experts-with-log-loss-1901.02230</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-bayes-prod-for-mixtures-of-experts-with-log-loss-1901.02230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-bayes-prod-for-mixtures-of-experts-with-log-loss-1901.02230"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-intelligence-and-machine-learning-to-predict-and-improve-efficiency-in-manufacturing-industry-1901.02256</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-intelligence-and-machine-learning-to-predict-and-improve-efficiency-in-manufacturing-industry-1901.02256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-intelligence-and-machine-learning-to-predict-and-improve-efficiency-in-manufacturing-industry-1901.02256"/></url>
<url><loc>https://scifaro.com/en/abs/cost-sensitive-learning-in-the-presence-of-symmetric-label-noise-1901.02271</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-sensitive-learning-in-the-presence-of-symmetric-label-noise-1901.02271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-sensitive-learning-in-the-presence-of-symmetric-label-noise-1901.02271"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-clustering-via-ensemble-deep-autoencoder-learning-sc-edae-1901.02291</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-clustering-via-ensemble-deep-autoencoder-learning-sc-edae-1901.02291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-clustering-via-ensemble-deep-autoencoder-learning-sc-edae-1901.02291"/></url>
<url><loc>https://scifaro.com/en/abs/visualising-basins-of-attraction-for-the-cross-entropy-and-the-squared-error-neural-network-loss-functions-1901.02302</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualising-basins-of-attraction-for-the-cross-entropy-and-the-squared-error-neural-network-loss-functions-1901.02302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualising-basins-of-attraction-for-the-cross-entropy-and-the-squared-error-neural-network-loss-functions-1901.02302"/></url>
<url><loc>https://scifaro.com/en/abs/anti-drift-in-electronic-nose-via-dimensionality-reduction-a-discriminative-subspace-projection-approach-1901.02321</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anti-drift-in-electronic-nose-via-dimensionality-reduction-a-discriminative-subspace-projection-approach-1901.02321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anti-drift-in-electronic-nose-via-dimensionality-reduction-a-discriminative-subspace-projection-approach-1901.02321"/></url>
<url><loc>https://scifaro.com/en/abs/fusion-strategies-for-learning-user-embeddings-with-neural-networks-1901.02322</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fusion-strategies-for-learning-user-embeddings-with-neural-networks-1901.02322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fusion-strategies-for-learning-user-embeddings-with-neural-networks-1901.02322"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-one-time-grab-sampling-of-inliers-1901.02338</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-one-time-grab-sampling-of-inliers-1901.02338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-one-time-grab-sampling-of-inliers-1901.02338"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-sample-wise-learnability-across-deep-neural-network-models-1901.02347</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-sample-wise-learnability-across-deep-neural-network-models-1901.02347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-sample-wise-learnability-across-deep-neural-network-models-1901.02347"/></url>
<url><loc>https://scifaro.com/en/abs/auto-weighted-mutli-view-sparse-reconstructive-embedding-1901.02352</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-weighted-mutli-view-sparse-reconstructive-embedding-1901.02352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-weighted-mutli-view-sparse-reconstructive-embedding-1901.02352"/></url>
<url><loc>https://scifaro.com/en/abs/geometrization-of-deep-networks-for-the-interpretability-of-deep-learning-systems-1901.02354</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometrization-of-deep-networks-for-the-interpretability-of-deep-learning-systems-1901.02354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometrization-of-deep-networks-for-the-interpretability-of-deep-learning-systems-1901.02354"/></url>
<url><loc>https://scifaro.com/en/abs/efforts-estimation-of-doctors-annotating-medical-image-1901.02355</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efforts-estimation-of-doctors-annotating-medical-image-1901.02355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efforts-estimation-of-doctors-annotating-medical-image-1901.02355"/></url>
<url><loc>https://scifaro.com/en/abs/fastgrnn-a-fast-accurate-stable-and-tiny-kilobyte-sized-gated-recurrent-neural-network-1901.02358</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fastgrnn-a-fast-accurate-stable-and-tiny-kilobyte-sized-gated-recurrent-neural-network-1901.02358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fastgrnn-a-fast-accurate-stable-and-tiny-kilobyte-sized-gated-recurrent-neural-network-1901.02358"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-optimal-state-feedback-via-supervised-imitation-learning-1901.02369</loc><lastmod>2024-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-optimal-state-feedback-via-supervised-imitation-learning-1901.02369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-optimal-state-feedback-via-supervised-imitation-learning-1901.02369"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-cnns-for-object-classification-1901.02413</loc><lastmod>2020-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-cnns-for-object-classification-1901.02413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-cnns-for-object-classification-1901.02413"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-activity-monitoring-with-uncertainty-quantification-in-switching-gaussian-process-models-1901.02427</loc><lastmod>2019-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-activity-monitoring-with-uncertainty-quantification-in-switching-gaussian-process-models-1901.02427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-activity-monitoring-with-uncertainty-quantification-in-switching-gaussian-process-models-1901.02427"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-collaborative-neural-network-group-by-reflection-1901.02433</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-collaborative-neural-network-group-by-reflection-1901.02433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-collaborative-neural-network-group-by-reflection-1901.02433"/></url>
<url><loc>https://scifaro.com/en/abs/bilinear-bandits-with-low-rank-structure-1901.02470</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bilinear-bandits-with-low-rank-structure-1901.02470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bilinear-bandits-with-low-rank-structure-1901.02470"/></url>
<url><loc>https://scifaro.com/en/abs/on-relativistic-f-divergences-1901.02474</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-relativistic-f-divergences-1901.02474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-relativistic-f-divergences-1901.02474"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoders-and-generative-adversarial-networks-for-imbalanced-sequence-classification-1901.02514</loc><lastmod>2022-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoders-and-generative-adversarial-networks-for-imbalanced-sequence-classification-1901.02514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoders-and-generative-adversarial-networks-for-imbalanced-sequence-classification-1901.02514"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-predicting-oil-movement-in-a-development-unit-1901.02549</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-predicting-oil-movement-in-a-development-unit-1901.02549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-predicting-oil-movement-in-a-development-unit-1901.02549"/></url>
<url><loc>https://scifaro.com/en/abs/uav-gesture-a-dataset-for-uav-control-and-gesture-recognition-1901.02602</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uav-gesture-a-dataset-for-uav-control-and-gesture-recognition-1901.02602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uav-gesture-a-dataset-for-uav-control-and-gesture-recognition-1901.02602"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-representation-learning-with-tsk-fuzzy-system-1901.02703</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-representation-learning-with-tsk-fuzzy-system-1901.02703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-representation-learning-with-tsk-fuzzy-system-1901.02703"/></url>
<url><loc>https://scifaro.com/en/abs/model-predictive-policy-learning-with-uncertainty-regularization-for-driving-in-dense-traffic-1901.02705</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-predictive-policy-learning-with-uncertainty-regularization-for-driving-in-dense-traffic-1901.02705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-predictive-policy-learning-with-uncertainty-regularization-for-driving-in-dense-traffic-1901.02705"/></url>
<url><loc>https://scifaro.com/en/abs/a-comprehensive-guide-to-bayesian-convolutional-neural-network-with-variational-inference-1901.02731</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comprehensive-guide-to-bayesian-convolutional-neural-network-with-variational-inference-1901.02731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comprehensive-guide-to-bayesian-convolutional-neural-network-with-variational-inference-1901.02731"/></url>
<url><loc>https://scifaro.com/en/abs/dirichlet-variational-autoencoder-1901.02739</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dirichlet-variational-autoencoder-1901.02739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dirichlet-variational-autoencoder-1901.02739"/></url>
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<url><loc>https://scifaro.com/en/abs/a-constructive-approach-for-one-shot-training-of-neural-networks-using-hypercube-based-topological-coverings-1901.02878</loc><lastmod>2019-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-constructive-approach-for-one-shot-training-of-neural-networks-using-hypercube-based-topological-coverings-1901.02878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-constructive-approach-for-one-shot-training-of-neural-networks-using-hypercube-based-topological-coverings-1901.02878"/></url>
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<url><loc>https://scifaro.com/en/abs/a-witness-function-based-construction-of-discriminative-models-using-hermite-polynomials-1901.02975</loc><lastmod>2019-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-witness-function-based-construction-of-discriminative-models-using-hermite-polynomials-1901.02975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-witness-function-based-construction-of-discriminative-models-using-hermite-polynomials-1901.02975"/></url>
<url><loc>https://scifaro.com/en/abs/quantized-epoch-sgd-for-communication-efficient-distributed-learning-1901.03040</loc><lastmod>2019-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantized-epoch-sgd-for-communication-efficient-distributed-learning-1901.03040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantized-epoch-sgd-for-communication-efficient-distributed-learning-1901.03040"/></url>
<url><loc>https://scifaro.com/en/abs/gm-pll-graph-matching-based-partial-label-learning-1901.03073</loc><lastmod>2019-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gm-pll-graph-matching-based-partial-label-learning-1901.03073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gm-pll-graph-matching-based-partial-label-learning-1901.03073"/></url>
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<url><loc>https://scifaro.com/en/abs/motion-perception-in-reinforcement-learning-with-dynamic-objects-1901.03162</loc><lastmod>2019-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/motion-perception-in-reinforcement-learning-with-dynamic-objects-1901.03162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/motion-perception-in-reinforcement-learning-with-dynamic-objects-1901.03162"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-flow-for-probability-distributions-1901.03317</loc><lastmod>2019-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-flow-for-probability-distributions-1901.03317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-flow-for-probability-distributions-1901.03317"/></url>
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<url><loc>https://scifaro.com/en/abs/deep-learning-for-anomaly-detection-a-survey-1901.03407</loc><lastmod>2019-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-anomaly-detection-a-survey-1901.03407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-anomaly-detection-a-survey-1901.03407"/></url>
<url><loc>https://scifaro.com/en/abs/context-aware-machine-learning-1901.03415</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-aware-machine-learning-1901.03415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-aware-machine-learning-1901.03415"/></url>
<url><loc>https://scifaro.com/en/abs/preventing-posterior-collapse-with-delta-vaes-1901.03416</loc><lastmod>2019-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preventing-posterior-collapse-with-delta-vaes-1901.03416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preventing-posterior-collapse-with-delta-vaes-1901.03416"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-turing-completeness-of-modern-neural-network-architectures-1901.03429</loc><lastmod>2019-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-turing-completeness-of-modern-neural-network-architectures-1901.03429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-turing-completeness-of-modern-neural-network-architectures-1901.03429"/></url>
<url><loc>https://scifaro.com/en/abs/disease-knowledge-transfer-across-neurodegenerative-diseases-1901.03517</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disease-knowledge-transfer-across-neurodegenerative-diseases-1901.03517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disease-knowledge-transfer-across-neurodegenerative-diseases-1901.03517"/></url>
<url><loc>https://scifaro.com/en/abs/an-investigation-of-model-free-planning-1901.03559</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-investigation-of-model-free-planning-1901.03559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-investigation-of-model-free-planning-1901.03559"/></url>
<url><loc>https://scifaro.com/en/abs/variation-network-learning-high-level-attributes-for-controlled-input-manipulation-1901.03634</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variation-network-learning-high-level-attributes-for-controlled-input-manipulation-1901.03634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variation-network-learning-high-level-attributes-for-controlled-input-manipulation-1901.03634"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-global-convergence-of-imitation-learning-a-case-for-linear-quadratic-regulator-1901.03674</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-global-convergence-of-imitation-learning-a-case-for-linear-quadratic-regulator-1901.03674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-global-convergence-of-imitation-learning-a-case-for-linear-quadratic-regulator-1901.03674"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-automation-toolbox-mlaut-1901.03678</loc><lastmod>2019-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-automation-toolbox-mlaut-1901.03678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-automation-toolbox-mlaut-1901.03678"/></url>
<url><loc>https://scifaro.com/en/abs/spflow-an-easy-and-extensible-library-for-deep-probabilistic-learning-using-sum-product-networks-1901.03704</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spflow-an-easy-and-extensible-library-for-deep-probabilistic-learning-using-sum-product-networks-1901.03704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spflow-an-easy-and-extensible-library-for-deep-probabilistic-learning-using-sum-product-networks-1901.03704"/></url>
<url><loc>https://scifaro.com/en/abs/non-parametric-inference-adaptive-to-intrinsic-dimension-1901.03719</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-parametric-inference-adaptive-to-intrinsic-dimension-1901.03719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-parametric-inference-adaptive-to-intrinsic-dimension-1901.03719"/></url>
<url><loc>https://scifaro.com/en/abs/alipy-active-learning-in-python-1901.03802</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alipy-active-learning-in-python-1901.03802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alipy-active-learning-in-python-1901.03802"/></url>
<url><loc>https://scifaro.com/en/abs/ecgadv-generating-adversarial-electrocardiogram-to-misguide-arrhythmia-classification-system-1901.03808</loc><lastmod>2026-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ecgadv-generating-adversarial-electrocardiogram-to-misguide-arrhythmia-classification-system-1901.03808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ecgadv-generating-adversarial-electrocardiogram-to-misguide-arrhythmia-classification-system-1901.03808"/></url>
<url><loc>https://scifaro.com/en/abs/multiplayer-multi-armed-bandits-for-optimal-assignment-in-heterogeneous-networks-1901.03868</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiplayer-multi-armed-bandits-for-optimal-assignment-in-heterogeneous-networks-1901.03868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiplayer-multi-armed-bandits-for-optimal-assignment-in-heterogeneous-networks-1901.03868"/></url>
<url><loc>https://scifaro.com/en/abs/improving-coordination-in-small-scale-multi-agent-deep-reinforcement-learning-through-memory-driven-communication-1901.03887</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-coordination-in-small-scale-multi-agent-deep-reinforcement-learning-through-memory-driven-communication-1901.03887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-coordination-in-small-scale-multi-agent-deep-reinforcement-learning-through-memory-driven-communication-1901.03887"/></url>
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<url><loc>https://scifaro.com/en/abs/personalized-colorectal-cancer-survivability-prediction-with-machine-learning-methods-1901.03896</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-colorectal-cancer-survivability-prediction-with-machine-learning-methods-1901.03896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-colorectal-cancer-survivability-prediction-with-machine-learning-methods-1901.03896"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-gradient-based-learning-of-black-box-function-interfaces-1901.03995</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-gradient-based-learning-of-black-box-function-interfaces-1901.03995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-gradient-based-learning-of-black-box-function-interfaces-1901.03995"/></url>
<url><loc>https://scifaro.com/en/abs/sales-demand-forecast-in-e-commerce-using-a-long-short-term-memory-neural-network-methodology-1901.04028</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sales-demand-forecast-in-e-commerce-using-a-long-short-term-memory-neural-network-methodology-1901.04028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sales-demand-forecast-in-e-commerce-using-a-long-short-term-memory-neural-network-methodology-1901.04028"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-boosted-feature-selection-1901.04055</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-boosted-feature-selection-1901.04055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-boosted-feature-selection-1901.04055"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-regularized-budgeted-boosting-1901.04065</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-regularized-budgeted-boosting-1901.04065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-regularized-budgeted-boosting-1901.04065"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-learning-and-reasoning-with-deep-logic-models-1901.04195</loc><lastmod>2019-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-learning-and-reasoning-with-deep-logic-models-1901.04195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-learning-and-reasoning-with-deep-logic-models-1901.04195"/></url>
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<url><loc>https://scifaro.com/en/abs/crossnet-latent-cross-consistency-for-unpaired-image-translation-1901.04530</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crossnet-latent-cross-consistency-for-unpaired-image-translation-1901.04530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crossnet-latent-cross-consistency-for-unpaired-image-translation-1901.04530"/></url>
<url><loc>https://scifaro.com/en/abs/putting-fairness-principles-into-practice-challenges-metrics-and-improvements-1901.04562</loc><lastmod>2019-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/putting-fairness-principles-into-practice-challenges-metrics-and-improvements-1901.04562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/putting-fairness-principles-into-practice-challenges-metrics-and-improvements-1901.04562"/></url>
<url><loc>https://scifaro.com/en/abs/tightening-mutual-information-based-bounds-on-generalization-error-1901.04609</loc><lastmod>2020-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tightening-mutual-information-based-bounds-on-generalization-error-1901.04609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tightening-mutual-information-based-bounds-on-generalization-error-1901.04609"/></url>
<url><loc>https://scifaro.com/en/abs/improving-sepsis-treatment-strategies-by-combining-deep-and-kernel-based-reinforcement-learning-1901.04670</loc><lastmod>2019-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-sepsis-treatment-strategies-by-combining-deep-and-kernel-based-reinforcement-learning-1901.04670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-sepsis-treatment-strategies-by-combining-deep-and-kernel-based-reinforcement-learning-1901.04670"/></url>
<url><loc>https://scifaro.com/en/abs/online-algorithm-for-unsupervised-sensor-selection-1901.04676</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-algorithm-for-unsupervised-sensor-selection-1901.04676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-algorithm-for-unsupervised-sensor-selection-1901.04676"/></url>
<url><loc>https://scifaro.com/en/abs/deepcf-a-unified-framework-of-representation-learning-and-matching-function-learning-in-recommender-system-1901.04704</loc><lastmod>2019-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepcf-a-unified-framework-of-representation-learning-and-matching-function-learning-in-recommender-system-1901.04704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepcf-a-unified-framework-of-representation-learning-and-matching-function-learning-in-recommender-system-1901.04704"/></url>
<url><loc>https://scifaro.com/en/abs/imitation-regularized-offline-learning-1901.04723</loc><lastmod>2019-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitation-regularized-offline-learning-1901.04723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitation-regularized-offline-learning-1901.04723"/></url>
<url><loc>https://scifaro.com/en/abs/fair-and-unbiased-algorithmic-decision-making-current-state-and-future-challenges-1901.04730</loc><lastmod>2019-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-and-unbiased-algorithmic-decision-making-current-state-and-future-challenges-1901.04730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-and-unbiased-algorithmic-decision-making-current-state-and-future-challenges-1901.04730"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-topology-optimization-approach-using-conditional-deep-learning-1901.04859</loc><lastmod>2019-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-topology-optimization-approach-using-conditional-deep-learning-1901.04859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-topology-optimization-approach-using-conditional-deep-learning-1901.04859"/></url>
<url><loc>https://scifaro.com/en/abs/practical-lossless-compression-with-latent-variables-using-bits-back-coding-1901.04866</loc><lastmod>2019-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-lossless-compression-with-latent-variables-using-bits-back-coding-1901.04866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-lossless-compression-with-latent-variables-using-bits-back-coding-1901.04866"/></url>
<url><loc>https://scifaro.com/en/abs/deep-fusion-an-attention-guided-factorized-bilinear-pooling-for-audio-video-emotion-recognition-1901.04889</loc><lastmod>2019-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-fusion-an-attention-guided-factorized-bilinear-pooling-for-audio-video-emotion-recognition-1901.04889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-fusion-an-attention-guided-factorized-bilinear-pooling-for-audio-video-emotion-recognition-1901.04889"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-sleeping-bandits-with-fairness-constraints-1901.04891</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-sleeping-bandits-with-fairness-constraints-1901.04891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-sleeping-bandits-with-fairness-constraints-1901.04891"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-search-for-diverse-coherent-explanations-1901.04909</loc><lastmod>2019-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-search-for-diverse-coherent-explanations-1901.04909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-search-for-diverse-coherent-explanations-1901.04909"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-and-correcting-label-bias-in-machine-learning-1901.04966</loc><lastmod>2019-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-and-correcting-label-bias-in-machine-learning-1901.04966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-and-correcting-label-bias-in-machine-learning-1901.04966"/></url>
<url><loc>https://scifaro.com/en/abs/cfof-a-concentration-free-measure-for-anomaly-detection-1901.04992</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cfof-a-concentration-free-measure-for-anomaly-detection-1901.04992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cfof-a-concentration-free-measure-for-anomaly-detection-1901.04992"/></url>
<url><loc>https://scifaro.com/en/abs/mad-gan-multivariate-anomaly-detection-for-time-series-data-with-generative-adversarial-networks-1901.04997</loc><lastmod>2019-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mad-gan-multivariate-anomaly-detection-for-time-series-data-with-generative-adversarial-networks-1901.04997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mad-gan-multivariate-anomaly-detection-for-time-series-data-with-generative-adversarial-networks-1901.04997"/></url>
<url><loc>https://scifaro.com/en/abs/bonseyes-ai-pipeline-bringing-ai-to-you-end-to-end-integration-of-data-algorithms-and-deployment-tools-1901.05049</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bonseyes-ai-pipeline-bringing-ai-to-you-end-to-end-integration-of-data-algorithms-and-deployment-tools-1901.05049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bonseyes-ai-pipeline-bringing-ai-to-you-end-to-end-integration-of-data-algorithms-and-deployment-tools-1901.05049"/></url>
<url><loc>https://scifaro.com/en/abs/reneg-and-backseat-driver-learning-from-demonstration-with-continuous-human-feedback-1901.05101</loc><lastmod>2019-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reneg-and-backseat-driver-learning-from-demonstration-with-continuous-human-feedback-1901.05101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reneg-and-backseat-driver-learning-from-demonstration-with-continuous-human-feedback-1901.05101"/></url>
<url><loc>https://scifaro.com/en/abs/memory-augmented-deep-generative-models-for-forecasting-the-next-shot-location-in-tennis-1901.05123</loc><lastmod>2019-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-augmented-deep-generative-models-for-forecasting-the-next-shot-location-in-tennis-1901.05123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-augmented-deep-generative-models-for-forecasting-the-next-shot-location-in-tennis-1901.05123"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-domain-adaptation-without-target-labels-1901.05335</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-domain-adaptation-without-target-labels-1901.05335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-domain-adaptation-without-target-labels-1901.05335"/></url>
<url><loc>https://scifaro.com/en/abs/tensorflow-js-machine-learning-for-the-web-and-beyond-1901.05350</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensorflow-js-machine-learning-for-the-web-and-beyond-1901.05350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensorflow-js-machine-learning-for-the-web-and-beyond-1901.05350"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-on-graphs-a-reinforcement-learning-application-1901.05351</loc><lastmod>2019-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-on-graphs-a-reinforcement-learning-application-1901.05351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-on-graphs-a-reinforcement-learning-application-1901.05351"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-electroencephalography-analysis-a-systematic-review-1901.05498</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-electroencephalography-analysis-a-systematic-review-1901.05498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-electroencephalography-analysis-a-systematic-review-1901.05498"/></url>
<url><loc>https://scifaro.com/en/abs/the-information-theoretic-value-of-unlabeled-data-in-semi-supervised-learning-1901.05515</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-information-theoretic-value-of-unlabeled-data-in-semi-supervised-learning-1901.05515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-information-theoretic-value-of-unlabeled-data-in-semi-supervised-learning-1901.05515"/></url>
<url><loc>https://scifaro.com/en/abs/lagging-inference-networks-and-posterior-collapse-in-variational-autoencoders-1901.05534</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lagging-inference-networks-and-posterior-collapse-in-variational-autoencoders-1901.05534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lagging-inference-networks-and-posterior-collapse-in-variational-autoencoders-1901.05534"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-evaluation-of-probabilistic-identity-data-in-lookalike-modeling-1901.05560</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-evaluation-of-probabilistic-identity-data-in-lookalike-modeling-1901.05560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-evaluation-of-probabilistic-identity-data-in-lookalike-modeling-1901.05560"/></url>
<url><loc>https://scifaro.com/en/abs/visual-reasoning-of-feature-attribution-with-deep-recurrent-neural-networks-1901.05574</loc><lastmod>2019-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-reasoning-of-feature-attribution-with-deep-recurrent-neural-networks-1901.05574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-reasoning-of-feature-attribution-with-deep-recurrent-neural-networks-1901.05574"/></url>
<url><loc>https://scifaro.com/en/abs/generating-realistic-sequences-of-customer-level-transactions-for-retail-datasets-1901.05577</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-realistic-sequences-of-customer-level-transactions-for-retail-datasets-1901.05577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-realistic-sequences-of-customer-level-transactions-for-retail-datasets-1901.05577"/></url>
<url><loc>https://scifaro.com/en/abs/codex-bit-flexible-encoding-for-streaming-based-fpga-acceleration-of-dnns-1901.05582</loc><lastmod>2019-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/codex-bit-flexible-encoding-for-streaming-based-fpga-acceleration-of-dnns-1901.05582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/codex-bit-flexible-encoding-for-streaming-based-fpga-acceleration-of-dnns-1901.05582"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-video-with-independent-prediction-1901.05590</loc><lastmod>2019-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-video-with-independent-prediction-1901.05590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-video-with-independent-prediction-1901.05590"/></url>
<url><loc>https://scifaro.com/en/abs/quadratic-autoencoder-q-ae-for-low-dose-ct-denoising-1901.05593</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quadratic-autoencoder-q-ae-for-low-dose-ct-denoising-1901.05593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quadratic-autoencoder-q-ae-for-low-dose-ct-denoising-1901.05593"/></url>
<url><loc>https://scifaro.com/en/abs/virtual-to-real-world-transfer-learning-for-robots-on-wilderness-trails-1901.05599</loc><lastmod>2019-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/virtual-to-real-world-transfer-learning-for-robots-on-wilderness-trails-1901.05599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/virtual-to-real-world-transfer-learning-for-robots-on-wilderness-trails-1901.05599"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-with-neural-networks-1901.05639</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-with-neural-networks-1901.05639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-with-neural-networks-1901.05639"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-matrix-profile-computation-using-different-distance-functions-1901.05708</loc><lastmod>2019-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-matrix-profile-computation-using-different-distance-functions-1901.05708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-matrix-profile-computation-using-different-distance-functions-1901.05708"/></url>
<url><loc>https://scifaro.com/en/abs/the-oracle-of-dlphi-1901.05744</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-oracle-of-dlphi-1901.05744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-oracle-of-dlphi-1901.05744"/></url>
<url><loc>https://scifaro.com/en/abs/attentive-neural-processes-1901.05761</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attentive-neural-processes-1901.05761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attentive-neural-processes-1901.05761"/></url>
<url><loc>https://scifaro.com/en/abs/learning-credal-sum-product-networks-1901.05847</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-credal-sum-product-networks-1901.05847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-credal-sum-product-networks-1901.05847"/></url>
<url><loc>https://scifaro.com/en/abs/amplifying-the-imitation-effect-for-reinforcement-learning-of-ucav-s-mission-execution-1901.05856</loc><lastmod>2019-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amplifying-the-imitation-effect-for-reinforcement-learning-of-ucav-s-mission-execution-1901.05856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amplifying-the-imitation-effect-for-reinforcement-learning-of-ucav-s-mission-execution-1901.05856"/></url>
<url><loc>https://scifaro.com/en/abs/applying-svgd-to-bayesian-neural-networks-for-cyclical-time-series-prediction-and-inference-1901.05906</loc><lastmod>2019-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-svgd-to-bayesian-neural-networks-for-cyclical-time-series-prediction-and-inference-1901.05906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-svgd-to-bayesian-neural-networks-for-cyclical-time-series-prediction-and-inference-1901.05906"/></url>
<url><loc>https://scifaro.com/en/abs/diverse-mini-batch-active-learning-1901.05954</loc><lastmod>2019-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diverse-mini-batch-active-learning-1901.05954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diverse-mini-batch-active-learning-1901.05954"/></url>
<url><loc>https://scifaro.com/en/abs/activation-functions-for-generalized-learning-vector-quantization-a-performance-comparison-1901.05995</loc><lastmod>2019-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/activation-functions-for-generalized-learning-vector-quantization-a-performance-comparison-1901.05995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/activation-functions-for-generalized-learning-vector-quantization-a-performance-comparison-1901.05995"/></url>
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<url><loc>https://scifaro.com/en/abs/a-tail-index-analysis-of-stochastic-gradient-noise-in-deep-neural-networks-1901.06053</loc><lastmod>2019-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tail-index-analysis-of-stochastic-gradient-noise-in-deep-neural-networks-1901.06053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tail-index-analysis-of-stochastic-gradient-noise-in-deep-neural-networks-1901.06053"/></url>
<url><loc>https://scifaro.com/en/abs/quasi-potential-as-an-implicit-regularizer-for-the-loss-function-in-the-stochastic-gradient-descent-1901.06054</loc><lastmod>2019-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quasi-potential-as-an-implicit-regularizer-for-the-loss-function-in-the-stochastic-gradient-descent-1901.06054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quasi-potential-as-an-implicit-regularizer-for-the-loss-function-in-the-stochastic-gradient-descent-1901.06054"/></url>
<url><loc>https://scifaro.com/en/abs/wall-e-an-efficient-reinforcement-learning-research-framework-1901.06086</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wall-e-an-efficient-reinforcement-learning-research-framework-1901.06086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wall-e-an-efficient-reinforcement-learning-research-framework-1901.06086"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-and-meta-classification-based-deep-churn-prediction-system-for-telecom-industry-1901.06091</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-and-meta-classification-based-deep-churn-prediction-system-for-telecom-industry-1901.06091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-and-meta-classification-based-deep-churn-prediction-system-for-telecom-industry-1901.06091"/></url>
<url><loc>https://scifaro.com/en/abs/protein-classification-using-machine-learning-and-statistical-techniques-a-comparative-analysis-1901.06152</loc><lastmod>2019-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/protein-classification-using-machine-learning-and-statistical-techniques-a-comparative-analysis-1901.06152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/protein-classification-using-machine-learning-and-statistical-techniques-a-comparative-analysis-1901.06152"/></url>
<url><loc>https://scifaro.com/en/abs/tactilegcn-a-graph-convolutional-network-for-predicting-grasp-stability-with-tactile-sensors-1901.06181</loc><lastmod>2019-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tactilegcn-a-graph-convolutional-network-for-predicting-grasp-stability-with-tactile-sensors-1901.06181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tactilegcn-a-graph-convolutional-network-for-predicting-grasp-stability-with-tactile-sensors-1901.06181"/></url>
<url><loc>https://scifaro.com/en/abs/on-policy-trust-region-policy-optimisation-with-replay-buffers-1901.06212</loc><lastmod>2019-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-policy-trust-region-policy-optimisation-with-replay-buffers-1901.06212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-policy-trust-region-policy-optimisation-with-replay-buffers-1901.06212"/></url>
<url><loc>https://scifaro.com/en/abs/micro-and-macro-level-churn-analysis-of-large-scale-mobile-games-1901.06247</loc><lastmod>2019-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/micro-and-macro-level-churn-analysis-of-large-scale-mobile-games-1901.06247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/micro-and-macro-level-churn-analysis-of-large-scale-mobile-games-1901.06247"/></url>
<url><loc>https://scifaro.com/en/abs/neunets-an-automated-synthesis-engine-for-neural-network-design-1901.06261</loc><lastmod>2019-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neunets-an-automated-synthesis-engine-for-neural-network-design-1901.06261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neunets-an-automated-synthesis-engine-for-neural-network-design-1901.06261"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-two-deep-learning-sequence-based-models-for-protein-protein-interaction-prediction-1901.06268</loc><lastmod>2019-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-two-deep-learning-sequence-based-models-for-protein-protein-interaction-prediction-1901.06268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-two-deep-learning-sequence-based-models-for-protein-protein-interaction-prediction-1901.06268"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-effective-dimension-of-large-biological-datasets-using-fisher-separability-analysis-1901.06328</loc><lastmod>2019-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-effective-dimension-of-large-biological-datasets-using-fisher-separability-analysis-1901.06328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-effective-dimension-of-large-biological-datasets-using-fisher-separability-analysis-1901.06328"/></url>
<url><loc>https://scifaro.com/en/abs/robust-anomaly-detection-in-images-using-adversarial-autoencoders-1901.06355</loc><lastmod>2019-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-anomaly-detection-in-images-using-adversarial-autoencoders-1901.06355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-anomaly-detection-in-images-using-adversarial-autoencoders-1901.06355"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-high-dimensional-sparse-covariance-matrix-estimation-1901.06413</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-high-dimensional-sparse-covariance-matrix-estimation-1901.06413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-high-dimensional-sparse-covariance-matrix-estimation-1901.06413"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-with-clos-networks-1901.06433</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-with-clos-networks-1901.06433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-with-clos-networks-1901.06433"/></url>
<url><loc>https://scifaro.com/en/abs/combating-fake-news-a-survey-on-identification-and-mitigation-techniques-1901.06437</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combating-fake-news-a-survey-on-identification-and-mitigation-techniques-1901.06437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combating-fake-news-a-survey-on-identification-and-mitigation-techniques-1901.06437"/></url>
<url><loc>https://scifaro.com/en/abs/deep-time-frequency-representation-and-progressive-decision-fusion-for-ecg-classification-1901.06469</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-time-frequency-representation-and-progressive-decision-fusion-for-ecg-classification-1901.06469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-time-frequency-representation-and-progressive-decision-fusion-for-ecg-classification-1901.06469"/></url>
<url><loc>https://scifaro.com/en/abs/a-conjoint-application-of-data-mining-techniques-for-analysis-of-global-terrorist-attacks-prevention-and-prediction-for-combating-terrorism-1901.06483</loc><lastmod>2019-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-conjoint-application-of-data-mining-techniques-for-analysis-of-global-terrorist-attacks-prevention-and-prediction-for-combating-terrorism-1901.06483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-conjoint-application-of-data-mining-techniques-for-analysis-of-global-terrorist-attacks-prevention-and-prediction-for-combating-terrorism-1901.06483"/></url>
<url><loc>https://scifaro.com/en/abs/frequency-principle-fourier-analysis-sheds-light-on-deep-neural-networks-1901.06523</loc><lastmod>2024-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frequency-principle-fourier-analysis-sheds-light-on-deep-neural-networks-1901.06523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frequency-principle-fourier-analysis-sheds-light-on-deep-neural-networks-1901.06523"/></url>
<url><loc>https://scifaro.com/en/abs/overfitting-mechanism-and-avoidance-in-deep-neural-networks-1901.06566</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overfitting-mechanism-and-avoidance-in-deep-neural-networks-1901.06566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overfitting-mechanism-and-avoidance-in-deep-neural-networks-1901.06566"/></url>
<url><loc>https://scifaro.com/en/abs/learning-retrosynthetic-planning-through-self-play-1901.06569</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-retrosynthetic-planning-through-self-play-1901.06569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-retrosynthetic-planning-through-self-play-1901.06569"/></url>
<url><loc>https://scifaro.com/en/abs/towards-physically-safe-reinforcement-learning-under-supervision-1901.06576</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-physically-safe-reinforcement-learning-under-supervision-1901.06576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-physically-safe-reinforcement-learning-under-supervision-1901.06576"/></url>
<url><loc>https://scifaro.com/en/abs/fitting-relus-via-sgd-and-quantized-sgd-1901.06587</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitting-relus-via-sgd-and-quantized-sgd-1901.06587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitting-relus-via-sgd-and-quantized-sgd-1901.06587"/></url>
<url><loc>https://scifaro.com/en/abs/accumulation-bit-width-scaling-for-ultra-low-precision-training-of-deep-networks-1901.06588</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accumulation-bit-width-scaling-for-ultra-low-precision-training-of-deep-networks-1901.06588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accumulation-bit-width-scaling-for-ultra-low-precision-training-of-deep-networks-1901.06588"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-the-biological-pathology-continuum-with-hsic-regularized-wasserstein-auto-encoders-1901.06618</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-the-biological-pathology-continuum-with-hsic-regularized-wasserstein-auto-encoders-1901.06618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-the-biological-pathology-continuum-with-hsic-regularized-wasserstein-auto-encoders-1901.06618"/></url>
<url><loc>https://scifaro.com/en/abs/removal-of-batch-effects-using-generative-adversarial-networks-1901.06654</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/removal-of-batch-effects-using-generative-adversarial-networks-1901.06654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/removal-of-batch-effects-using-generative-adversarial-networks-1901.06654"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-wind-pressures-around-circular-cylinders-using-machine-learning-techniques-1901.06752</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-wind-pressures-around-circular-cylinders-using-machine-learning-techniques-1901.06752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-wind-pressures-around-circular-cylinders-using-machine-learning-techniques-1901.06752"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-approach-to-real-time-parking-occupancy-prediction-in-spatio-temporal-networks-incorporating-multiple-spatio-temporal-data-sources-1901.06758</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-real-time-parking-occupancy-prediction-in-spatio-temporal-networks-incorporating-multiple-spatio-temporal-data-sources-1901.06758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-real-time-parking-occupancy-prediction-in-spatio-temporal-networks-incorporating-multiple-spatio-temporal-data-sources-1901.06758"/></url>
<url><loc>https://scifaro.com/en/abs/accudnn-a-gpu-memory-efficient-accelerator-for-training-ultra-deep-neural-networks-1901.06773</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accudnn-a-gpu-memory-efficient-accelerator-for-training-ultra-deep-neural-networks-1901.06773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accudnn-a-gpu-memory-efficient-accelerator-for-training-ultra-deep-neural-networks-1901.06773"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-with-gaussian-processes-for-high-throughput-phenotyping-1901.06803</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-with-gaussian-processes-for-high-throughput-phenotyping-1901.06803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-with-gaussian-processes-for-high-throughput-phenotyping-1901.06803"/></url>
<url><loc>https://scifaro.com/en/abs/a-deterministic-gradient-based-approach-to-avoid-saddle-points-1901.06827</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deterministic-gradient-based-approach-to-avoid-saddle-points-1901.06827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deterministic-gradient-based-approach-to-avoid-saddle-points-1901.06827"/></url>
<url><loc>https://scifaro.com/en/abs/perception-in-the-loop-adversarial-examples-1901.06834</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perception-in-the-loop-adversarial-examples-1901.06834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perception-in-the-loop-adversarial-examples-1901.06834"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-likelihood-with-bias-corrected-calibration-is-hard-to-beat-at-label-shift-adaptation-1901.06852</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-likelihood-with-bias-corrected-calibration-is-hard-to-beat-at-label-shift-adaptation-1901.06852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-likelihood-with-bias-corrected-calibration-is-hard-to-beat-at-label-shift-adaptation-1901.06852"/></url>
<url><loc>https://scifaro.com/en/abs/we-are-not-your-real-parents-telling-causal-from-confounded-using-mdl-1901.06950</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/we-are-not-your-real-parents-telling-causal-from-confounded-using-mdl-1901.06950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/we-are-not-your-real-parents-telling-causal-from-confounded-using-mdl-1901.06950"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-for-semg-based-gesture-recognition-with-recurrent-neural-networks-1901.06958</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-for-semg-based-gesture-recognition-with-recurrent-neural-networks-1901.06958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-for-semg-based-gesture-recognition-with-recurrent-neural-networks-1901.06958"/></url>
<url><loc>https://scifaro.com/en/abs/network-transplanting-extended-abstract-1901.06978</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-transplanting-extended-abstract-1901.06978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-transplanting-extended-abstract-1901.06978"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-nesterov-gradient-methods-over-arbitrary-graphs-1901.06995</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-nesterov-gradient-methods-over-arbitrary-graphs-1901.06995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-nesterov-gradient-methods-over-arbitrary-graphs-1901.06995"/></url>
<url><loc>https://scifaro.com/en/abs/error-correcting-neural-sequence-prediction-1901.07002</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-correcting-neural-sequence-prediction-1901.07002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-correcting-neural-sequence-prediction-1901.07002"/></url>
<url><loc>https://scifaro.com/en/abs/a-short-survey-on-probabilistic-reinforcement-learning-1901.07010</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-short-survey-on-probabilistic-reinforcement-learning-1901.07010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-short-survey-on-probabilistic-reinforcement-learning-1901.07010"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-broadcast-decoder-a-simple-architecture-for-learning-disentangled-representations-in-vaes-1901.07017</loc><lastmod>2019-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-broadcast-decoder-a-simple-architecture-for-learning-disentangled-representations-in-vaes-1901.07017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-broadcast-decoder-a-simple-architecture-for-learning-disentangled-representations-in-vaes-1901.07017"/></url>
<url><loc>https://scifaro.com/en/abs/universal-rules-for-fooling-deep-neural-networks-based-text-classification-1901.07132</loc><lastmod>2019-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-rules-for-fooling-deep-neural-networks-based-text-classification-1901.07132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-rules-for-fooling-deep-neural-networks-based-text-classification-1901.07132"/></url>
<url><loc>https://scifaro.com/en/abs/towards-learning-to-imitate-from-a-single-video-demonstration-1901.07186</loc><lastmod>2023-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-learning-to-imitate-from-a-single-video-demonstration-1901.07186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-learning-to-imitate-from-a-single-video-demonstration-1901.07186"/></url>
<url><loc>https://scifaro.com/en/abs/the-autofeat-python-library-for-automated-feature-engineering-and-selection-1901.07329</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-autofeat-python-library-for-automated-feature-engineering-and-selection-1901.07329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-autofeat-python-library-for-automated-feature-engineering-and-selection-1901.07329"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-state-updates-via-gaussian-gated-lstms-1901.07334</loc><lastmod>2019-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-state-updates-via-gaussian-gated-lstms-1901.07334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-state-updates-via-gaussian-gated-lstms-1901.07334"/></url>
<url><loc>https://scifaro.com/en/abs/on-connected-sublevel-sets-in-deep-learning-1901.07417</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-connected-sublevel-sets-in-deep-learning-1901.07417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-connected-sublevel-sets-in-deep-learning-1901.07417"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-buildings-parameters-over-time-including-prior-knowledge-1901.07469</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-buildings-parameters-over-time-including-prior-knowledge-1901.07469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-buildings-parameters-over-time-including-prior-knowledge-1901.07469"/></url>
<url><loc>https://scifaro.com/en/abs/an-exact-reformulation-of-feature-vector-based-radial-basis-function-networks-for-graph-based-observations-1901.07484</loc><lastmod>2019-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-exact-reformulation-of-feature-vector-based-radial-basis-function-networks-for-graph-based-observations-1901.07484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-exact-reformulation-of-feature-vector-based-radial-basis-function-networks-for-graph-based-observations-1901.07484"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-multi-step-deep-reinforcement-learning-a-systematic-study-of-the-dqn-target-1901.07510</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-multi-step-deep-reinforcement-learning-a-systematic-study-of-the-dqn-target-1901.07510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-multi-step-deep-reinforcement-learning-a-systematic-study-of-the-dqn-target-1901.07510"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-neural-networks-to-explain-neural-networks-extended-abstract-1901.07538</loc><lastmod>2019-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-neural-networks-to-explain-neural-networks-extended-abstract-1901.07538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-neural-networks-to-explain-neural-networks-extended-abstract-1901.07538"/></url>
<url><loc>https://scifaro.com/en/abs/dtn-a-learning-rate-scheme-with-convergence-rate-of-mathcal-o-1-t-for-sgd-1901.07634</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dtn-a-learning-rate-scheme-with-convergence-rate-of-mathcal-o-1-t-for-sgd-1901.07634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dtn-a-learning-rate-scheme-with-convergence-rate-of-mathcal-o-1-t-for-sgd-1901.07634"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-geometry-of-encoder-decoder-cnns-1901.07647</loc><lastmod>2019-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-geometry-of-encoder-decoder-cnns-1901.07647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-geometry-of-encoder-decoder-cnns-1901.07647"/></url>
<url><loc>https://scifaro.com/en/abs/low-complexity-nonparametric-bayesian-online-prediction-with-universal-guarantees-1901.07662</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-complexity-nonparametric-bayesian-online-prediction-with-universal-guarantees-1901.07662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-complexity-nonparametric-bayesian-online-prediction-with-universal-guarantees-1901.07662"/></url>
<url><loc>https://scifaro.com/en/abs/composition-and-decomposition-of-gans-1901.07667</loc><lastmod>2019-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composition-and-decomposition-of-gans-1901.07667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composition-and-decomposition-of-gans-1901.07667"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-cgan-technique-for-constrained-topology-design-optimization-1901.07675</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-cgan-technique-for-constrained-topology-design-optimization-1901.07675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-cgan-technique-for-constrained-topology-design-optimization-1901.07675"/></url>
<url><loc>https://scifaro.com/en/abs/online-adaptive-principal-component-analysis-and-its-extensions-1901.07687</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-adaptive-principal-component-analysis-and-its-extensions-1901.07687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-adaptive-principal-component-analysis-and-its-extensions-1901.07687"/></url>
<url><loc>https://scifaro.com/en/abs/cascade-submodular-maximization-question-selection-and-sequencing-in-online-personality-quiz-1901.07708</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cascade-submodular-maximization-question-selection-and-sequencing-in-online-personality-quiz-1901.07708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cascade-submodular-maximization-question-selection-and-sequencing-in-online-personality-quiz-1901.07708"/></url>
<url><loc>https://scifaro.com/en/abs/neural-guided-symbolic-regression-with-asymptotic-constraints-1901.07714</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-guided-symbolic-regression-with-asymptotic-constraints-1901.07714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-guided-symbolic-regression-with-asymptotic-constraints-1901.07714"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-a-fatigue-aware-online-recommendation-system-1901.07734</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-a-fatigue-aware-online-recommendation-system-1901.07734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-a-fatigue-aware-online-recommendation-system-1901.07734"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-exact-learning-of-decision-trees-from-membership-queries-1901.07750</loc><lastmod>2019-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-exact-learning-of-decision-trees-from-membership-queries-1901.07750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-exact-learning-of-decision-trees-from-membership-queries-1901.07750"/></url>
<url><loc>https://scifaro.com/en/abs/deep-clustering-with-a-dynamic-autoencoder-from-reconstruction-towards-centroids-construction-1901.07752</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-clustering-with-a-dynamic-autoencoder-from-reconstruction-towards-centroids-construction-1901.07752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-clustering-with-a-dynamic-autoencoder-from-reconstruction-towards-centroids-construction-1901.07752"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-convolutional-neural-network-for-topology-optimization-with-strong-generalization-ability-1901.07761</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-convolutional-neural-network-for-topology-optimization-with-strong-generalization-ability-1901.07761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-convolutional-neural-network-for-topology-optimization-with-strong-generalization-ability-1901.07761"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-lossy-compression-the-rate-distortion-perception-tradeoff-1901.07821</loc><lastmod>2019-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-lossy-compression-the-rate-distortion-perception-tradeoff-1901.07821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-lossy-compression-the-rate-distortion-perception-tradeoff-1901.07821"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-parkinson-s-disease-using-latent-information-extracted-from-deep-neural-networks-1901.07822</loc><lastmod>2019-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-parkinson-s-disease-using-latent-information-extracted-from-deep-neural-networks-1901.07822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-parkinson-s-disease-using-latent-information-extracted-from-deep-neural-networks-1901.07822"/></url>
<url><loc>https://scifaro.com/en/abs/how-do-mixture-density-rnns-predict-the-future-1901.07859</loc><lastmod>2019-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-do-mixture-density-rnns-predict-the-future-1901.07859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-do-mixture-density-rnns-predict-the-future-1901.07859"/></url>
<url><loc>https://scifaro.com/en/abs/trust-region-value-optimization-using-kalman-filtering-1901.07860</loc><lastmod>2019-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trust-region-value-optimization-using-kalman-filtering-1901.07860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trust-region-value-optimization-using-kalman-filtering-1901.07860"/></url>
<url><loc>https://scifaro.com/en/abs/constant-time-graph-neural-networks-1901.07868</loc><lastmod>2022-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constant-time-graph-neural-networks-1901.07868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constant-time-graph-neural-networks-1901.07868"/></url>
<url><loc>https://scifaro.com/en/abs/is-this-an-example-image-predicting-the-relative-abstractness-level-of-image-and-text-1901.07878</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-this-an-example-image-predicting-the-relative-abstractness-level-of-image-and-text-1901.07878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-this-an-example-image-predicting-the-relative-abstractness-level-of-image-and-text-1901.07878"/></url>
<url><loc>https://scifaro.com/en/abs/rank-consistent-ordinal-regression-for-neural-networks-with-application-to-age-estimation-1901.07884</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-consistent-ordinal-regression-for-neural-networks-with-application-to-age-estimation-1901.07884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-consistent-ordinal-regression-for-neural-networks-with-application-to-age-estimation-1901.07884"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-diverse-user-preferences-1901.07924</loc><lastmod>2022-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-diverse-user-preferences-1901.07924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-diverse-user-preferences-1901.07924"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-tactical-solutions-to-operational-planning-problems-under-imperfect-information-1901.07935</loc><lastmod>2022-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-tactical-solutions-to-operational-planning-problems-under-imperfect-information-1901.07935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-tactical-solutions-to-operational-planning-problems-under-imperfect-information-1901.07935"/></url>
<url><loc>https://scifaro.com/en/abs/ctcmodel-a-keras-model-for-connectionist-temporal-classification-1901.07957</loc><lastmod>2019-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ctcmodel-a-keras-model-for-connectionist-temporal-classification-1901.07957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ctcmodel-a-keras-model-for-connectionist-temporal-classification-1901.07957"/></url>
<url><loc>https://scifaro.com/en/abs/typed-graph-networks-1901.07984</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/typed-graph-networks-1901.07984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/typed-graph-networks-1901.07984"/></url>
<url><loc>https://scifaro.com/en/abs/pd-ml-lite-private-distributed-machine-learning-from-lighweight-cryptography-1901.07986</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pd-ml-lite-private-distributed-machine-learning-from-lighweight-cryptography-1901.07986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pd-ml-lite-private-distributed-machine-learning-from-lighweight-cryptography-1901.07986"/></url>
<url><loc>https://scifaro.com/en/abs/backprop-with-approximate-activations-for-memory-efficient-network-training-1901.07988</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backprop-with-approximate-activations-for-memory-efficient-network-training-1901.07988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backprop-with-approximate-activations-for-memory-efficient-network-training-1901.07988"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-reinforcement-learning-for-multi-agent-moba-game-1901.08004</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-for-multi-agent-moba-game-1901.08004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-for-multi-agent-moba-game-1901.08004"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-theoretic-approach-to-the-autoencoder-1901.08019</loc><lastmod>2019-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-theoretic-approach-to-the-autoencoder-1901.08019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-theoretic-approach-to-the-autoencoder-1901.08019"/></url>
<url><loc>https://scifaro.com/en/abs/robust-temporal-difference-learning-for-critical-domains-1901.08021</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-temporal-difference-learning-for-critical-domains-1901.08021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-temporal-difference-learning-for-critical-domains-1901.08021"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-collaborate-in-markov-decision-processes-1901.08029</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-collaborate-in-markov-decision-processes-1901.08029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-collaborate-in-markov-decision-processes-1901.08029"/></url>
<url><loc>https://scifaro.com/en/abs/cooperative-online-learning-keeping-your-neighbors-updated-1901.08082</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cooperative-online-learning-keeping-your-neighbors-updated-1901.08082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cooperative-online-learning-keeping-your-neighbors-updated-1901.08082"/></url>
<url><loc>https://scifaro.com/en/abs/open-ended-learning-in-symmetric-zero-sum-games-1901.08106</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-ended-learning-in-symmetric-zero-sum-games-1901.08106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-ended-learning-in-symmetric-zero-sum-games-1901.08106"/></url>
<url><loc>https://scifaro.com/en/abs/sitatapatra-blocking-the-transfer-of-adversarial-samples-1901.08121</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sitatapatra-blocking-the-transfer-of-adversarial-samples-1901.08121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sitatapatra-blocking-the-transfer-of-adversarial-samples-1901.08121"/></url>
<url><loc>https://scifaro.com/en/abs/a-large-scale-multimodal-study-for-predicting-mortality-risk-using-minimal-and-low-parameter-models-and-separable-risk-assessment-1901.08125</loc><lastmod>2025-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-large-scale-multimodal-study-for-predicting-mortality-risk-using-minimal-and-low-parameter-models-and-separable-risk-assessment-1901.08125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-large-scale-multimodal-study-for-predicting-mortality-risk-using-minimal-and-low-parameter-models-and-separable-risk-assessment-1901.08125"/></url>
<url><loc>https://scifaro.com/en/abs/distillation-strategies-for-proximal-policy-optimization-1901.08128</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distillation-strategies-for-proximal-policy-optimization-1901.08128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distillation-strategies-for-proximal-policy-optimization-1901.08128"/></url>
<url><loc>https://scifaro.com/en/abs/hypergraph-convolution-and-hypergraph-attention-1901.08150</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypergraph-convolution-and-hypergraph-attention-1901.08150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypergraph-convolution-and-hypergraph-attention-1901.08150"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-for-contextual-bandit-exploration-1901.08159</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-for-contextual-bandit-exploration-1901.08159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-for-contextual-bandit-exploration-1901.08159"/></url>
<url><loc>https://scifaro.com/en/abs/causal-reasoning-from-meta-reinforcement-learning-1901.08162</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-reasoning-from-meta-reinforcement-learning-1901.08162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-reasoning-from-meta-reinforcement-learning-1901.08162"/></url>
<url><loc>https://scifaro.com/en/abs/decoupled-greedy-learning-of-cnns-1901.08164</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupled-greedy-learning-of-cnns-1901.08164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupled-greedy-learning-of-cnns-1901.08164"/></url>
<url><loc>https://scifaro.com/en/abs/loss-landscapes-of-regularized-linear-autoencoders-1901.08168</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-landscapes-of-regularized-linear-autoencoders-1901.08168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-landscapes-of-regularized-linear-autoencoders-1901.08168"/></url>
<url><loc>https://scifaro.com/en/abs/generating-and-aligning-from-data-geometries-with-generative-adversarial-networks-1901.08177</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-and-aligning-from-data-geometries-with-generative-adversarial-networks-1901.08177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-and-aligning-from-data-geometries-with-generative-adversarial-networks-1901.08177"/></url>
<url><loc>https://scifaro.com/en/abs/iseeu-visually-interpretable-deep-learning-for-mortality-prediction-inside-the-icu-1901.08201</loc><lastmod>2019-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iseeu-visually-interpretable-deep-learning-for-mortality-prediction-inside-the-icu-1901.08201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iseeu-visually-interpretable-deep-learning-for-mortality-prediction-inside-the-icu-1901.08201"/></url>
<url><loc>https://scifaro.com/en/abs/trajectory-normalized-gradients-for-distributed-optimization-1901.08227</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trajectory-normalized-gradients-for-distributed-optimization-1901.08227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trajectory-normalized-gradients-for-distributed-optimization-1901.08227"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-robust-m-estimation-arbitrary-corruption-and-heavy-tails-1901.08237</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-robust-m-estimation-arbitrary-corruption-and-heavy-tails-1901.08237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-robust-m-estimation-arbitrary-corruption-and-heavy-tails-1901.08237"/></url>
<url><loc>https://scifaro.com/en/abs/location-reference-identification-from-tweets-during-emergencies-a-deep-learning-approach-1901.08241</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/location-reference-identification-from-tweets-during-emergencies-a-deep-learning-approach-1901.08241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/location-reference-identification-from-tweets-during-emergencies-a-deep-learning-approach-1901.08241"/></url>
<url><loc>https://scifaro.com/en/abs/measurements-of-three-level-hierarchical-structure-in-the-outliers-in-the-spectrum-of-deepnet-hessians-1901.08244</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measurements-of-three-level-hierarchical-structure-in-the-outliers-in-the-spectrum-of-deepnet-hessians-1901.08244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measurements-of-three-level-hierarchical-structure-in-the-outliers-in-the-spectrum-of-deepnet-hessians-1901.08244"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-and-deep-learning-algorithms-for-bearing-fault-diagnostics-a-comprehensive-review-1901.08247</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-and-deep-learning-algorithms-for-bearing-fault-diagnostics-a-comprehensive-review-1901.08247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-and-deep-learning-algorithms-for-bearing-fault-diagnostics-a-comprehensive-review-1901.08247"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-based-graph-convolutional-networks-for-semi-supervised-learning-1901.08255</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-based-graph-convolutional-networks-for-semi-supervised-learning-1901.08255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-based-graph-convolutional-networks-for-semi-supervised-learning-1901.08255"/></url>
<url><loc>https://scifaro.com/en/abs/large-batch-training-for-lstm-and-beyond-1901.08256</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-batch-training-for-lstm-and-beyond-1901.08256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-batch-training-for-lstm-and-beyond-1901.08256"/></url>
<url><loc>https://scifaro.com/en/abs/traditional-and-heavy-tailed-self-regularization-in-neural-network-models-1901.08276</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/traditional-and-heavy-tailed-self-regularization-in-neural-network-models-1901.08276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/traditional-and-heavy-tailed-self-regularization-in-neural-network-models-1901.08276"/></url>
<url><loc>https://scifaro.com/en/abs/federated-deep-reinforcement-learning-1901.08277</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-deep-reinforcement-learning-1901.08277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-deep-reinforcement-learning-1901.08277"/></url>
<url><loc>https://scifaro.com/en/abs/heavy-tailed-universality-predicts-trends-in-test-accuracies-for-very-large-pre-trained-deep-neural-networks-1901.08278</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heavy-tailed-universality-predicts-trends-in-test-accuracies-for-very-large-pre-trained-deep-neural-networks-1901.08278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heavy-tailed-universality-predicts-trends-in-test-accuracies-for-very-large-pre-trained-deep-neural-networks-1901.08278"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-logistic-neural-bag-of-features-for-financial-time-series-forecasting-leveraging-limit-order-book-data-1901.08280</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-logistic-neural-bag-of-features-for-financial-time-series-forecasting-leveraging-limit-order-book-data-1901.08280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-logistic-neural-bag-of-features-for-financial-time-series-forecasting-leveraging-limit-order-book-data-1901.08280"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-on-attributed-graphs-a-journey-from-graphs-to-their-embeddings-and-back-1901.08296</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-on-attributed-graphs-a-journey-from-graphs-to-their-embeddings-and-back-1901.08296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-on-attributed-graphs-a-journey-from-graphs-to-their-embeddings-and-back-1901.08296"/></url>
<url><loc>https://scifaro.com/en/abs/cross-entropy-loss-and-low-rank-features-have-responsibility-for-adversarial-examples-1901.08360</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-entropy-loss-and-low-rank-features-have-responsibility-for-adversarial-examples-1901.08360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-entropy-loss-and-low-rank-features-have-responsibility-for-adversarial-examples-1901.08360"/></url>
<url><loc>https://scifaro.com/en/abs/learning-global-pairwise-interactions-with-bayesian-neural-networks-1901.08361</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-global-pairwise-interactions-with-bayesian-neural-networks-1901.08361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-global-pairwise-interactions-with-bayesian-neural-networks-1901.08361"/></url>
<url><loc>https://scifaro.com/en/abs/pac-identification-of-many-good-arms-in-stochastic-multi-armed-bandits-1901.08386</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-identification-of-many-good-arms-in-stochastic-multi-armed-bandits-1901.08386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-identification-of-many-good-arms-in-stochastic-multi-armed-bandits-1901.08386"/></url>
<url><loc>https://scifaro.com/en/abs/regret-minimisation-in-multi-armed-bandits-using-bounded-arm-memory-1901.08387</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-minimisation-in-multi-armed-bandits-using-bounded-arm-memory-1901.08387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-minimisation-in-multi-armed-bandits-using-bounded-arm-memory-1901.08387"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-deep-learning-on-point-clouds-by-reconstructing-space-1901.08396</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-deep-learning-on-point-clouds-by-reconstructing-space-1901.08396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-deep-learning-on-point-clouds-by-reconstructing-space-1901.08396"/></url>
<url><loc>https://scifaro.com/en/abs/to-relieve-your-headache-of-training-an-mrf-take-advil-1901.08400</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-relieve-your-headache-of-training-an-mrf-take-advil-1901.08400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-relieve-your-headache-of-training-an-mrf-take-advil-1901.08400"/></url>
<url><loc>https://scifaro.com/en/abs/cheap-orthogonal-constraints-in-neural-networks-a-simple-parametrization-of-the-orthogonal-and-unitary-group-1901.08428</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cheap-orthogonal-constraints-in-neural-networks-a-simple-parametrization-of-the-orthogonal-and-unitary-group-1901.08428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cheap-orthogonal-constraints-in-neural-networks-a-simple-parametrization-of-the-orthogonal-and-unitary-group-1901.08428"/></url>
<url><loc>https://scifaro.com/en/abs/provable-smoothness-guarantees-for-black-box-variational-inference-1901.08431</loc><lastmod>2020-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-smoothness-guarantees-for-black-box-variational-inference-1901.08431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-smoothness-guarantees-for-black-box-variational-inference-1901.08431"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-compress-and-search-visual-data-in-large-scale-systems-1901.08437</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-compress-and-search-visual-data-in-large-scale-systems-1901.08437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-compress-and-search-visual-data-in-large-scale-systems-1901.08437"/></url>
<url><loc>https://scifaro.com/en/abs/fully-decentralized-joint-learning-of-personalized-models-and-collaboration-graphs-1901.08460</loc><lastmod>2024-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-decentralized-joint-learning-of-personalized-models-and-collaboration-graphs-1901.08460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-decentralized-joint-learning-of-personalized-models-and-collaboration-graphs-1901.08460"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-learning-via-variational-gradient-flow-1901.08469</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-learning-via-variational-gradient-flow-1901.08469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-learning-via-variational-gradient-flow-1901.08469"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-transformation-of-latent-space-in-autoencoders-1901.08479</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-transformation-of-latent-space-in-autoencoders-1901.08479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-transformation-of-latent-space-in-autoencoders-1901.08479"/></url>
<url><loc>https://scifaro.com/en/abs/never-forget-balancing-exploration-and-exploitation-via-learning-optical-flow-1901.08486</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/never-forget-balancing-exploration-and-exploitation-via-learning-optical-flow-1901.08486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/never-forget-balancing-exploration-and-exploitation-via-learning-optical-flow-1901.08486"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-entropy-generators-for-energy-based-models-1901.08508</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-entropy-generators-for-energy-based-models-1901.08508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-entropy-generators-for-energy-based-models-1901.08508"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-multiple-cities-a-meta-learning-approach-for-spatial-temporal-prediction-1901.08518</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-multiple-cities-a-meta-learning-approach-for-spatial-temporal-prediction-1901.08518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-multiple-cities-a-meta-learning-approach-for-spatial-temporal-prediction-1901.08518"/></url>
<url><loc>https://scifaro.com/en/abs/learning-space-partitions-for-nearest-neighbor-search-1901.08544</loc><lastmod>2020-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-space-partitions-for-nearest-neighbor-search-1901.08544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-space-partitions-for-nearest-neighbor-search-1901.08544"/></url>
<url><loc>https://scifaro.com/en/abs/human-centric-transfer-learning-explanation-via-knowledge-graph-extended-abstract-1901.08547</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-centric-transfer-learning-explanation-via-knowledge-graph-extended-abstract-1901.08547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-centric-transfer-learning-explanation-via-knowledge-graph-extended-abstract-1901.08547"/></url>
<url><loc>https://scifaro.com/en/abs/a-tensorized-logic-programming-language-for-large-scale-data-1901.08548</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tensorized-logic-programming-language-for-large-scale-data-1901.08548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tensorized-logic-programming-language-for-large-scale-data-1901.08548"/></url>
<url><loc>https://scifaro.com/en/abs/a-universal-logic-operator-for-interpretable-deep-convolution-networks-1901.08551</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-universal-logic-operator-for-interpretable-deep-convolution-networks-1901.08551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-universal-logic-operator-for-interpretable-deep-convolution-networks-1901.08551"/></url>
<url><loc>https://scifaro.com/en/abs/data-interpolations-in-deep-generative-models-under-non-simply-connected-manifold-topology-1901.08553</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-interpolations-in-deep-generative-models-under-non-simply-connected-manifold-topology-1901.08553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-interpolations-in-deep-generative-models-under-non-simply-connected-manifold-topology-1901.08553"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-failure-predictions-with-rnn-classifiers-based-on-time-series-data-1901.08554</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-failure-predictions-with-rnn-classifiers-based-on-time-series-data-1901.08554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-failure-predictions-with-rnn-classifiers-based-on-time-series-data-1901.08554"/></url>
<url><loc>https://scifaro.com/en/abs/visualized-insights-into-the-optimization-landscape-of-fully-convolutional-networks-1901.08556</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualized-insights-into-the-optimization-landscape-of-fully-convolutional-networks-1901.08556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualized-insights-into-the-optimization-landscape-of-fully-convolutional-networks-1901.08556"/></url>
<url><loc>https://scifaro.com/en/abs/on-network-science-and-mutual-information-for-explaining-deep-neural-networks-1901.08557</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-network-science-and-mutual-information-for-explaining-deep-neural-networks-1901.08557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-network-science-and-mutual-information-for-explaining-deep-neural-networks-1901.08557"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-interpretability-and-trust-in-machine-learning-systems-1901.08558</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-interpretability-and-trust-in-machine-learning-systems-1901.08558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-interpretability-and-trust-in-machine-learning-systems-1901.08558"/></url>
<url><loc>https://scifaro.com/en/abs/sample-complexity-of-estimating-the-policy-gradient-for-nearly-deterministic-dynamical-systems-1901.08562</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-complexity-of-estimating-the-policy-gradient-for-nearly-deterministic-dynamical-systems-1901.08562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-complexity-of-estimating-the-policy-gradient-for-nearly-deterministic-dynamical-systems-1901.08562"/></url>
<url><loc>https://scifaro.com/en/abs/learning-neurosymbolic-generative-models-via-program-synthesis-1901.08565</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-neurosymbolic-generative-models-via-program-synthesis-1901.08565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-neurosymbolic-generative-models-via-program-synthesis-1901.08565"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-for-fairness-in-sequential-decision-making-1901.08568</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-fairness-in-sequential-decision-making-1901.08568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-fairness-in-sequential-decision-making-1901.08568"/></url>
<url><loc>https://scifaro.com/en/abs/width-provably-matters-in-optimization-for-deep-linear-neural-networks-1901.08572</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/width-provably-matters-in-optimization-for-deep-linear-neural-networks-1901.08572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/width-provably-matters-in-optimization-for-deep-linear-neural-networks-1901.08572"/></url>
<url><loc>https://scifaro.com/en/abs/theoretically-principled-trade-off-between-robustness-and-accuracy-1901.08573</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretically-principled-trade-off-between-robustness-and-accuracy-1901.08573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretically-principled-trade-off-between-robustness-and-accuracy-1901.08573"/></url>
<url><loc>https://scifaro.com/en/abs/learning-interpretable-models-with-causal-guarantees-1901.08576</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-interpretable-models-with-causal-guarantees-1901.08576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-interpretable-models-with-causal-guarantees-1901.08576"/></url>
<url><loc>https://scifaro.com/en/abs/fine-grained-analysis-of-optimization-and-generalization-for-overparameterized-two-layer-neural-networks-1901.08584</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fine-grained-analysis-of-optimization-and-generalization-for-overparameterized-two-layer-neural-networks-1901.08584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fine-grained-analysis-of-optimization-and-generalization-for-overparameterized-two-layer-neural-networks-1901.08584"/></url>
<url><loc>https://scifaro.com/en/abs/graph-heat-mixture-model-learning-1901.08585</loc><lastmod>2019-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-heat-mixture-model-learning-1901.08585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-heat-mixture-model-learning-1901.08585"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-linear-bandits-overcoming-catastrophic-forgetting-through-likelihood-matching-1901.08612</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-linear-bandits-overcoming-catastrophic-forgetting-through-likelihood-matching-1901.08612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-linear-bandits-overcoming-catastrophic-forgetting-through-likelihood-matching-1901.08612"/></url>
<url><loc>https://scifaro.com/en/abs/autoshufflenet-learning-permutation-matrices-via-an-exact-lipschitz-continuous-penalty-in-deep-convolutional-neural-networks-1901.08624</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoshufflenet-learning-permutation-matrices-via-an-exact-lipschitz-continuous-penalty-in-deep-convolutional-neural-networks-1901.08624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoshufflenet-learning-permutation-matrices-via-an-exact-lipschitz-continuous-penalty-in-deep-convolutional-neural-networks-1901.08624"/></url>
<url><loc>https://scifaro.com/en/abs/learning-independently-obtainable-reward-functions-1901.08649</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-independently-obtainable-reward-functions-1901.08649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-independently-obtainable-reward-functions-1901.08649"/></url>
<url><loc>https://scifaro.com/en/abs/decoupling-feature-extraction-from-policy-learning-assessing-benefits-of-state-representation-learning-in-goal-based-robotics-1901.08651</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupling-feature-extraction-from-policy-learning-assessing-benefits-of-state-representation-learning-in-goal-based-robotics-1901.08651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupling-feature-extraction-from-policy-learning-assessing-benefits-of-state-representation-learning-in-goal-based-robotics-1901.08651"/></url>
<url><loc>https://scifaro.com/en/abs/the-assistive-multi-armed-bandit-1901.08654</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-assistive-multi-armed-bandit-1901.08654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-assistive-multi-armed-bandit-1901.08654"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-risk-measures-1901.08665</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-risk-measures-1901.08665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-risk-measures-1901.08665"/></url>
<url><loc>https://scifaro.com/en/abs/saga-with-arbitrary-sampling-1901.08669</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/saga-with-arbitrary-sampling-1901.08669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/saga-with-arbitrary-sampling-1901.08669"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-training-of-generative-adversarial-networks-with-multiple-discriminators-1901.08680</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-training-of-generative-adversarial-networks-with-multiple-discriminators-1901.08680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-training-of-generative-adversarial-networks-with-multiple-discriminators-1901.08680"/></url>
<url><loc>https://scifaro.com/en/abs/don-t-jump-through-hoops-and-remove-those-loops-svrg-and-katyusha-are-better-without-the-outer-loop-1901.08689</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/don-t-jump-through-hoops-and-remove-those-loops-svrg-and-katyusha-are-better-without-the-outer-loop-1901.08689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/don-t-jump-through-hoops-and-remove-those-loops-svrg-and-katyusha-are-better-without-the-outer-loop-1901.08689"/></url>
<url><loc>https://scifaro.com/en/abs/almost-boltzmann-exploration-1901.08708</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/almost-boltzmann-exploration-1901.08708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/almost-boltzmann-exploration-1901.08708"/></url>
<url><loc>https://scifaro.com/en/abs/when-can-neural-networks-learn-connected-decision-regions-1901.08710</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-can-neural-networks-learn-connected-decision-regions-1901.08710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-can-neural-networks-learn-connected-decision-regions-1901.08710"/></url>
<url><loc>https://scifaro.com/en/abs/better-accuracy-with-quantified-privacy-representations-learned-via-reconstructive-adversarial-network-1901.08730</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-accuracy-with-quantified-privacy-representations-learned-via-reconstructive-adversarial-network-1901.08730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-accuracy-with-quantified-privacy-representations-learned-via-reconstructive-adversarial-network-1901.08730"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-deep-reinforcement-learning-for-dynamic-portfolio-optimization-1901.08740</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-deep-reinforcement-learning-for-dynamic-portfolio-optimization-1901.08740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-deep-reinforcement-learning-for-dynamic-portfolio-optimization-1901.08740"/></url>
<url><loc>https://scifaro.com/en/abs/ask-less-scale-market-research-without-annoying-your-customers-1901.08744</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ask-less-scale-market-research-without-annoying-your-customers-1901.08744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ask-less-scale-market-research-without-annoying-your-customers-1901.08744"/></url>
<url><loc>https://scifaro.com/en/abs/on-output-activation-functions-for-adversarial-losses-a-theoretical-analysis-via-variational-divergence-minimization-and-an-empirical-study-on-mnist-classification-1901.08753</loc><lastmod>2022-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-output-activation-functions-for-adversarial-losses-a-theoretical-analysis-via-variational-divergence-minimization-and-an-empirical-study-on-mnist-classification-1901.08753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-output-activation-functions-for-adversarial-losses-a-theoretical-analysis-via-variational-divergence-minimization-and-an-empirical-study-on-mnist-classification-1901.08753"/></url>
<url><loc>https://scifaro.com/en/abs/secureboost-a-lossless-federated-learning-framework-1901.08755</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secureboost-a-lossless-federated-learning-framework-1901.08755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secureboost-a-lossless-federated-learning-framework-1901.08755"/></url>
<url><loc>https://scifaro.com/en/abs/beating-stochastic-and-adversarial-semi-bandits-optimally-and-simultaneously-1901.08779</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beating-stochastic-and-adversarial-semi-bandits-optimally-and-simultaneously-1901.08779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beating-stochastic-and-adversarial-semi-bandits-optimally-and-simultaneously-1901.08779"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-speech-representation-learning-using-wavenet-autoencoders-1901.08810</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-speech-representation-learning-using-wavenet-autoencoders-1901.08810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-speech-representation-learning-using-wavenet-autoencoders-1901.08810"/></url>
<url><loc>https://scifaro.com/en/abs/state-regularized-recurrent-neural-networks-1901.08817</loc><lastmod>2019-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-regularized-recurrent-neural-networks-1901.08817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-regularized-recurrent-neural-networks-1901.08817"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-metaclassifier-and-soft-confusion-matrix-classifier-in-the-task-of-multi-label-classification-1901.08827</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-metaclassifier-and-soft-confusion-matrix-classifier-in-the-task-of-multi-label-classification-1901.08827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-metaclassifier-and-soft-confusion-matrix-classifier-in-the-task-of-multi-label-classification-1901.08827"/></url>
<url><loc>https://scifaro.com/en/abs/improving-adversarial-robustness-via-promoting-ensemble-diversity-1901.08846</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-adversarial-robustness-via-promoting-ensemble-diversity-1901.08846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-adversarial-robustness-via-promoting-ensemble-diversity-1901.08846"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-surrogate-learning-in-dynamic-simulator-based-regression-problems-1901.08898</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-surrogate-learning-in-dynamic-simulator-based-regression-problems-1901.08898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-surrogate-learning-in-dynamic-simulator-based-regression-problems-1901.08898"/></url>
<url><loc>https://scifaro.com/en/abs/combinational-q-learning-for-dou-di-zhu-1901.08925</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinational-q-learning-for-dou-di-zhu-1901.08925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinational-q-learning-for-dou-di-zhu-1901.08925"/></url>
<url><loc>https://scifaro.com/en/abs/effectiveness-of-tree-based-ensembles-for-anomaly-discovery-insights-batch-and-streaming-active-learning-1901.08930</loc><lastmod>2024-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effectiveness-of-tree-based-ensembles-for-anomaly-discovery-insights-batch-and-streaming-active-learning-1901.08930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effectiveness-of-tree-based-ensembles-for-anomaly-discovery-insights-batch-and-streaming-active-learning-1901.08930"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-generalisation-with-meta-auxiliary-learning-1901.08933</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-generalisation-with-meta-auxiliary-learning-1901.08933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-generalisation-with-meta-auxiliary-learning-1901.08933"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-robust-wasserstein-distances-1901.08949</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-robust-wasserstein-distances-1901.08949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-robust-wasserstein-distances-1901.08949"/></url>
<url><loc>https://scifaro.com/en/abs/perturbed-proximal-descent-to-escape-saddle-points-for-non-convex-and-non-smooth-objective-functions-1901.08958</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perturbed-proximal-descent-to-escape-saddle-points-for-non-convex-and-non-smooth-objective-functions-1901.08958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perturbed-proximal-descent-to-escape-saddle-points-for-non-convex-and-non-smooth-objective-functions-1901.08958"/></url>
<url><loc>https://scifaro.com/en/abs/a-zero-shot-learning-application-in-deep-drawing-process-using-hyper-process-model-1901.08969</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-zero-shot-learning-application-in-deep-drawing-process-using-hyper-process-model-1901.08969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-zero-shot-learning-application-in-deep-drawing-process-using-hyper-process-model-1901.08969"/></url>
<url><loc>https://scifaro.com/en/abs/dynamical-isometry-and-a-mean-field-theory-of-lstms-and-grus-1901.08987</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamical-isometry-and-a-mean-field-theory-of-lstms-and-grus-1901.08987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamical-isometry-and-a-mean-field-theory-of-lstms-and-grus-1901.08987"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-variational-autoencoders-1901.08991</loc><lastmod>2022-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-variational-autoencoders-1901.08991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-variational-autoencoders-1901.08991"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-limitations-of-representing-functions-on-sets-1901.09006</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-limitations-of-representing-functions-on-sets-1901.09006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-limitations-of-representing-functions-on-sets-1901.09006"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-rl-with-rich-observations-via-latent-state-decoding-1901.09018</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-rl-with-rich-observations-via-latent-state-decoding-1901.09018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-rl-with-rich-observations-via-latent-state-decoding-1901.09018"/></url>
<url><loc>https://scifaro.com/en/abs/diversity-sensitive-conditional-generative-adversarial-networks-1901.09024</loc><lastmod>2019-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversity-sensitive-conditional-generative-adversarial-networks-1901.09024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversity-sensitive-conditional-generative-adversarial-networks-1901.09024"/></url>
<url><loc>https://scifaro.com/en/abs/towards-interpretable-deep-neural-networks-by-leveraging-adversarial-examples-1901.09035</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-interpretable-deep-neural-networks-by-leveraging-adversarial-examples-1901.09035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-interpretable-deep-neural-networks-by-leveraging-adversarial-examples-1901.09035"/></url>
<url><loc>https://scifaro.com/en/abs/faster-boosting-with-smaller-memory-1901.09047</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-boosting-with-smaller-memory-1901.09047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-boosting-with-smaller-memory-1901.09047"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-on-small-datasets-without-pre-training-using-cosine-loss-1901.09054</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-on-small-datasets-without-pre-training-using-cosine-loss-1901.09054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-on-small-datasets-without-pre-training-using-cosine-loss-1901.09054"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-semantic-structures-of-sequential-data-by-learning-temporal-dependencies-1901.09066</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-semantic-structures-of-sequential-data-by-learning-temporal-dependencies-1901.09066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-semantic-structures-of-sequential-data-by-learning-temporal-dependencies-1901.09066"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-losses-for-online-learning-of-stepsizes-in-stochastic-non-convex-optimization-1901.09068</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-losses-for-online-learning-of-stepsizes-in-stochastic-non-convex-optimization-1901.09068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-losses-for-online-learning-of-stepsizes-in-stochastic-non-convex-optimization-1901.09068"/></url>
<url><loc>https://scifaro.com/en/abs/finding-archetypal-spaces-using-neural-networks-1901.09078</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-archetypal-spaces-using-neural-networks-1901.09078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-archetypal-spaces-using-neural-networks-1901.09078"/></url>
<url><loc>https://scifaro.com/en/abs/a-kalman-filtering-induced-heuristic-optimization-based-partitional-data-clustering-1901.09082</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kalman-filtering-induced-heuristic-optimization-based-partitional-data-clustering-1901.09082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kalman-filtering-induced-heuristic-optimization-based-partitional-data-clustering-1901.09082"/></url>
<url><loc>https://scifaro.com/en/abs/optimality-implies-kernel-sum-classifiers-are-statistically-efficient-1901.09087</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimality-implies-kernel-sum-classifiers-are-statistically-efficient-1901.09087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimality-implies-kernel-sum-classifiers-are-statistically-efficient-1901.09087"/></url>
<url><loc>https://scifaro.com/en/abs/dadam-a-consensus-based-distributed-adaptive-gradient-method-for-online-optimization-1901.09109</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dadam-a-consensus-based-distributed-adaptive-gradient-method-for-online-optimization-1901.09109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dadam-a-consensus-based-distributed-adaptive-gradient-method-for-online-optimization-1901.09109"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-networks-for-black-box-api-attacks-with-limited-training-data-1901.09113</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-black-box-api-attacks-with-limited-training-data-1901.09113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-black-box-api-attacks-with-limited-training-data-1901.09113"/></url>
<url><loc>https://scifaro.com/en/abs/stopping-active-learning-based-on-predicted-change-of-f-measure-for-text-classification-1901.09118</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stopping-active-learning-based-on-predicted-change-of-f-measure-for-text-classification-1901.09118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stopping-active-learning-based-on-predicted-change-of-f-measure-for-text-classification-1901.09118"/></url>
<url><loc>https://scifaro.com/en/abs/the-use-of-unlabeled-data-versus-labeled-data-for-stopping-active-learning-for-text-classification-1901.09126</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-use-of-unlabeled-data-versus-labeled-data-for-stopping-active-learning-for-text-classification-1901.09126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-use-of-unlabeled-data-versus-labeled-data-for-stopping-active-learning-for-text-classification-1901.09126"/></url>
<url><loc>https://scifaro.com/en/abs/stacking-and-stability-1901.09134</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stacking-and-stability-1901.09134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stacking-and-stability-1901.09134"/></url>
<url><loc>https://scifaro.com/en/abs/graphical-model-based-estimation-and-inference-for-differential-privacy-1901.09136</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphical-model-based-estimation-and-inference-for-differential-privacy-1901.09136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphical-model-based-estimation-and-inference-for-differential-privacy-1901.09136"/></url>
<url><loc>https://scifaro.com/en/abs/escaping-saddle-points-with-adaptive-gradient-methods-1901.09149</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/escaping-saddle-points-with-adaptive-gradient-methods-1901.09149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/escaping-saddle-points-with-adaptive-gradient-methods-1901.09149"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-model-for-plane-based-clustering-with-loss-function-1901.09178</loc><lastmod>2020-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-model-for-plane-based-clustering-with-loss-function-1901.09178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-model-for-plane-based-clustering-with-loss-function-1901.09178"/></url>
<url><loc>https://scifaro.com/en/abs/action-robust-reinforcement-learning-and-applications-in-continuous-control-1901.09184</loc><lastmod>2019-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/action-robust-reinforcement-learning-and-applications-in-continuous-control-1901.09184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/action-robust-reinforcement-learning-and-applications-in-continuous-control-1901.09184"/></url>
<url><loc>https://scifaro.com/en/abs/discovery-of-important-subsequences-in-electrocardiogram-beats-using-the-nearest-neighbour-algorithm-1901.09187</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovery-of-important-subsequences-in-electrocardiogram-beats-using-the-nearest-neighbour-algorithm-1901.09187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovery-of-important-subsequences-in-electrocardiogram-beats-using-the-nearest-neighbour-algorithm-1901.09187"/></url>
<url><loc>https://scifaro.com/en/abs/selectivenet-a-deep-neural-network-with-an-integrated-reject-option-1901.09192</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selectivenet-a-deep-neural-network-with-an-integrated-reject-option-1901.09192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selectivenet-a-deep-neural-network-with-an-integrated-reject-option-1901.09192"/></url>
<url><loc>https://scifaro.com/en/abs/acnn-a-full-resolution-dcnn-for-medical-image-segmentation-1901.09203</loc><lastmod>2020-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/acnn-a-full-resolution-dcnn-for-medical-image-segmentation-1901.09203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/acnn-a-full-resolution-dcnn-for-medical-image-segmentation-1901.09203"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-guided-training-of-implicit-generative-models-with-stability-guarantees-1901.09206</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-guided-training-of-implicit-generative-models-with-stability-guarantees-1901.09206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-guided-training-of-implicit-generative-models-with-stability-guarantees-1901.09206"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-recursive-reasoning-for-multi-agent-reinforcement-learning-1901.09207</loc><lastmod>2019-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-recursive-reasoning-for-multi-agent-reinforcement-learning-1901.09207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-recursive-reasoning-for-multi-agent-reinforcement-learning-1901.09207"/></url>
<url><loc>https://scifaro.com/en/abs/delta-deep-learning-transfer-using-feature-map-with-attention-for-convolutional-networks-1901.09229</loc><lastmod>2020-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delta-deep-learning-transfer-using-feature-map-with-attention-for-convolutional-networks-1901.09229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delta-deep-learning-transfer-using-feature-map-with-attention-for-convolutional-networks-1901.09229"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-convolutional-dictionary-learning-dicodile-pattern-discovery-in-large-images-and-signals-1901.09235</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-convolutional-dictionary-learning-dicodile-pattern-discovery-in-large-images-and-signals-1901.09235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-convolutional-dictionary-learning-dicodile-pattern-discovery-in-large-images-and-signals-1901.09235"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-toxicity-prediction-via-simple-features-using-shallow-neural-networks-and-decision-trees-1901.09240</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-toxicity-prediction-via-simple-features-using-shallow-neural-networks-and-decision-trees-1901.09240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-toxicity-prediction-via-simple-features-using-shallow-neural-networks-and-decision-trees-1901.09240"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-learning-with-compressed-gradient-differences-1901.09269</loc><lastmod>2023-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-learning-with-compressed-gradient-differences-1901.09269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-learning-with-compressed-gradient-differences-1901.09269"/></url>
<url><loc>https://scifaro.com/en/abs/money-on-the-table-statistical-information-ignored-by-softmax-can-improve-classifier-accuracy-1901.09283</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/money-on-the-table-statistical-information-ignored-by-softmax-can-improve-classifier-accuracy-1901.09283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/money-on-the-table-statistical-information-ignored-by-softmax-can-improve-classifier-accuracy-1901.09283"/></url>
<url><loc>https://scifaro.com/en/abs/prunetrain-fast-neural-network-training-by-dynamic-sparse-model-reconfiguration-1901.09290</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prunetrain-fast-neural-network-training-by-dynamic-sparse-model-reconfiguration-1901.09290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prunetrain-fast-neural-network-training-by-dynamic-sparse-model-reconfiguration-1901.09290"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detecting-and-ranking-of-the-cloud-computing-platform-by-multi-view-learning-1901.09294</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detecting-and-ranking-of-the-cloud-computing-platform-by-multi-view-learning-1901.09294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detecting-and-ranking-of-the-cloud-computing-platform-by-multi-view-learning-1901.09294"/></url>
<url><loc>https://scifaro.com/en/abs/q-learning-with-ucb-exploration-is-sample-efficient-for-infinite-horizon-mdp-1901.09311</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/q-learning-with-ucb-exploration-is-sample-efficient-for-infinite-horizon-mdp-1901.09311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/q-learning-with-ucb-exploration-is-sample-efficient-for-infinite-horizon-mdp-1901.09311"/></url>
<url><loc>https://scifaro.com/en/abs/fixup-initialization-residual-learning-without-normalization-1901.09321</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixup-initialization-residual-learning-without-normalization-1901.09321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixup-initialization-residual-learning-without-normalization-1901.09321"/></url>
<url><loc>https://scifaro.com/en/abs/value-propagation-for-decentralized-networked-deep-multi-agent-reinforcement-learning-1901.09326</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/value-propagation-for-decentralized-networked-deep-multi-agent-reinforcement-learning-1901.09326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/value-propagation-for-decentralized-networked-deep-multi-agent-reinforcement-learning-1901.09326"/></url>
<url><loc>https://scifaro.com/en/abs/reward-shaping-via-meta-learning-1901.09330</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reward-shaping-via-meta-learning-1901.09330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reward-shaping-via-meta-learning-1901.09330"/></url>
<url><loc>https://scifaro.com/en/abs/augment-your-batch-better-training-with-larger-batches-1901.09335</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augment-your-batch-better-training-with-larger-batches-1901.09335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augment-your-batch-better-training-with-larger-batches-1901.09335"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-universality-of-invariant-networks-1901.09342</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-universality-of-invariant-networks-1901.09342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-universality-of-invariant-networks-1901.09342"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-approximation-of-smooth-and-strongly-convex-functions-beyond-the-o-1-t-convergence-rate-1901.09344</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-approximation-of-smooth-and-strongly-convex-functions-beyond-the-o-1-t-convergence-rate-1901.09344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-approximation-of-smooth-and-strongly-convex-functions-beyond-the-o-1-t-convergence-rate-1901.09344"/></url>
<url><loc>https://scifaro.com/en/abs/concrete-autoencoders-for-differentiable-feature-selection-and-reconstruction-1901.09346</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concrete-autoencoders-for-differentiable-feature-selection-and-reconstruction-1901.09346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concrete-autoencoders-for-differentiable-feature-selection-and-reconstruction-1901.09346"/></url>
<url><loc>https://scifaro.com/en/abs/imitation-learning-from-imperfect-demonstration-1901.09387</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitation-learning-from-imperfect-demonstration-1901.09387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitation-learning-from-imperfect-demonstration-1901.09387"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-in-fidelity-and-sensitivity-for-explanations-1901.09392</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-in-fidelity-and-sensitivity-for-explanations-1901.09392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-in-fidelity-and-sensitivity-for-explanations-1901.09392"/></url>
<url><loc>https://scifaro.com/en/abs/sgd-general-analysis-and-improved-rates-1901.09401</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgd-general-analysis-and-improved-rates-1901.09401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgd-general-analysis-and-improved-rates-1901.09401"/></url>
<url><loc>https://scifaro.com/en/abs/99-of-distributed-optimization-is-a-waste-of-time-the-issue-and-how-to-fix-it-1901.09437</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/99-of-distributed-optimization-is-a-waste-of-time-the-issue-and-how-to-fix-it-1901.09437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/99-of-distributed-optimization-is-a-waste-of-time-the-issue-and-how-to-fix-it-1901.09437"/></url>
<url><loc>https://scifaro.com/en/abs/admm-softmax-an-admm-approach-for-multinomial-logistic-regression-1901.09450</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/admm-softmax-an-admm-approach-for-multinomial-logistic-regression-1901.09450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/admm-softmax-an-admm-approach-for-multinomial-logistic-regression-1901.09450"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-invariant-representation-for-domain-adaptation-1901.09453</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-invariant-representation-for-domain-adaptation-1901.09453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-invariant-representation-for-domain-adaptation-1901.09453"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-deep-reinforcement-learning-by-bootstrapping-the-covariate-shift-1901.09455</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-deep-reinforcement-learning-by-bootstrapping-the-covariate-shift-1901.09455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-deep-reinforcement-learning-by-bootstrapping-the-covariate-shift-1901.09455"/></url>
<url><loc>https://scifaro.com/en/abs/deconstructing-generative-adversarial-networks-1901.09465</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deconstructing-generative-adversarial-networks-1901.09465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deconstructing-generative-adversarial-networks-1901.09465"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-linear-bandits-with-hidden-low-rank-structure-1901.09490</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-linear-bandits-with-hidden-low-rank-structure-1901.09490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-linear-bandits-with-hidden-low-rank-structure-1901.09490"/></url>
<url><loc>https://scifaro.com/en/abs/stiffness-a-new-perspective-on-generalization-in-neural-networks-1901.09491</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stiffness-a-new-perspective-on-generalization-in-neural-networks-1901.09491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stiffness-a-new-perspective-on-generalization-in-neural-networks-1901.09491"/></url>
<url><loc>https://scifaro.com/en/abs/strong-black-box-adversarial-attacks-on-unsupervised-machine-learning-models-1901.09493</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strong-black-box-adversarial-attacks-on-unsupervised-machine-learning-models-1901.09493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strong-black-box-adversarial-attacks-on-unsupervised-machine-learning-models-1901.09493"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-the-shape-of-activation-space-in-deep-neural-networks-1901.09496</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-the-shape-of-activation-space-in-deep-neural-networks-1901.09496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-the-shape-of-activation-space-in-deep-neural-networks-1901.09496"/></url>
<url><loc>https://scifaro.com/en/abs/improving-neural-network-quantization-without-retraining-using-outlier-channel-splitting-1901.09504</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-neural-network-quantization-without-retraining-using-outlier-channel-splitting-1901.09504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-neural-network-quantization-without-retraining-using-outlier-channel-splitting-1901.09504"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-submodular-maximization-discrete-and-continuous-settings-1901.09515</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-submodular-maximization-discrete-and-continuous-settings-1901.09515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-submodular-maximization-discrete-and-continuous-settings-1901.09515"/></url>
<url><loc>https://scifaro.com/en/abs/iclr-reproducibility-challenge-report-padam-closing-the-generalization-gap-of-adaptive-gradient-methods-in-training-deep-neural-networks-1901.09517</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iclr-reproducibility-challenge-report-padam-closing-the-generalization-gap-of-adaptive-gradient-methods-in-training-deep-neural-networks-1901.09517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iclr-reproducibility-challenge-report-padam-closing-the-generalization-gap-of-adaptive-gradient-methods-in-training-deep-neural-networks-1901.09517"/></url>
<url><loc>https://scifaro.com/en/abs/secure-multi-party-linear-regression-at-plaintext-speed-1901.09531</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secure-multi-party-linear-regression-at-plaintext-speed-1901.09531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secure-multi-party-linear-regression-at-plaintext-speed-1901.09531"/></url>
<url><loc>https://scifaro.com/en/abs/target-tracking-for-contextual-bandits-application-to-demand-side-management-1901.09532</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/target-tracking-for-contextual-bandits-application-to-demand-side-management-1901.09532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/target-tracking-for-contextual-bandits-application-to-demand-side-management-1901.09532"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-complex-valued-neural-networks-for-privacy-protection-1901.09546</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-complex-valued-neural-networks-for-privacy-protection-1901.09546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-complex-valued-neural-networks-for-privacy-protection-1901.09546"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-sample-testing-for-gans-1901.09557</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-sample-testing-for-gans-1901.09557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-sample-testing-for-gans-1901.09557"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-in-representation-quantifying-stereotyping-as-a-representational-harm-1901.09565</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-in-representation-quantifying-stereotyping-as-a-representational-harm-1901.09565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-in-representation-quantifying-stereotyping-as-a-representational-harm-1901.09565"/></url>
<url><loc>https://scifaro.com/en/abs/from-below-boolean-matrix-factorization-algorithm-based-on-mdl-1901.09567</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-below-boolean-matrix-factorization-algorithm-based-on-mdl-1901.09567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-below-boolean-matrix-factorization-algorithm-based-on-mdl-1901.09567"/></url>
<url><loc>https://scifaro.com/en/abs/ml-for-flood-forecasting-at-scale-1901.09583</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ml-for-flood-forecasting-at-scale-1901.09583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ml-for-flood-forecasting-at-scale-1901.09583"/></url>
<url><loc>https://scifaro.com/en/abs/tucker-tensor-factorization-for-knowledge-graph-completion-1901.09590</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tucker-tensor-factorization-for-knowledge-graph-completion-1901.09590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tucker-tensor-factorization-for-knowledge-graph-completion-1901.09590"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-machine-learning-approach-to-popularity-prediction-of-newly-released-contents-for-online-video-streaming-service-1901.09613</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-machine-learning-approach-to-popularity-prediction-of-newly-released-contents-for-online-video-streaming-service-1901.09613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-machine-learning-approach-to-popularity-prediction-of-newly-released-contents-for-online-video-streaming-service-1901.09613"/></url>
<url><loc>https://scifaro.com/en/abs/neural-eliminators-and-classifiers-1901.09632</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-eliminators-and-classifiers-1901.09632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-eliminators-and-classifiers-1901.09632"/></url>
<url><loc>https://scifaro.com/en/abs/support-feature-machines-1901.09643</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-feature-machines-1901.09643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-feature-machines-1901.09643"/></url>
<url><loc>https://scifaro.com/en/abs/erasurehead-distributed-gradient-descent-without-delays-using-approximate-gradient-coding-1901.09671</loc><lastmod>2019-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/erasurehead-distributed-gradient-descent-without-delays-using-approximate-gradient-coding-1901.09671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/erasurehead-distributed-gradient-descent-without-delays-using-approximate-gradient-coding-1901.09671"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-differential-privacy-for-machine-learning-1901.09697</loc><lastmod>2020-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-differential-privacy-for-machine-learning-1901.09697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-differential-privacy-for-machine-learning-1901.09697"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-measurement-scheduling-for-event-forecasting-using-deep-rl-1901.09699</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-measurement-scheduling-for-event-forecasting-using-deep-rl-1901.09699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-measurement-scheduling-for-event-forecasting-using-deep-rl-1901.09699"/></url>
<url><loc>https://scifaro.com/en/abs/ising-models-with-latent-conditional-gaussian-variables-1901.09712</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ising-models-with-latent-conditional-gaussian-variables-1901.09712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ising-models-with-latent-conditional-gaussian-variables-1901.09712"/></url>
<url><loc>https://scifaro.com/en/abs/clic-curriculum-learning-and-imitation-for-object-control-in-non-rewarding-environments-1901.09720</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clic-curriculum-learning-and-imitation-for-object-control-in-non-rewarding-environments-1901.09720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clic-curriculum-learning-and-imitation-for-object-control-in-non-rewarding-environments-1901.09720"/></url>
<url><loc>https://scifaro.com/en/abs/making-deep-q-learning-methods-robust-to-time-discretization-1901.09732</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-deep-q-learning-methods-robust-to-time-discretization-1901.09732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-deep-q-learning-methods-robust-to-time-discretization-1901.09732"/></url>
<url><loc>https://scifaro.com/en/abs/fairwashing-the-risk-of-rationalization-1901.09749</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairwashing-the-risk-of-rationalization-1901.09749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairwashing-the-risk-of-rationalization-1901.09749"/></url>
<url><loc>https://scifaro.com/en/abs/squeezed-very-deep-convolutional-neural-networks-for-text-classification-1901.09821</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/squeezed-very-deep-convolutional-neural-networks-for-text-classification-1901.09821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/squeezed-very-deep-convolutional-neural-networks-for-text-classification-1901.09821"/></url>
<url><loc>https://scifaro.com/en/abs/depth-creates-no-more-spurious-local-minima-1901.09827</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depth-creates-no-more-spurious-local-minima-1901.09827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depth-creates-no-more-spurious-local-minima-1901.09827"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-in-network-structured-data-via-total-variation-minimization-1901.09838</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-in-network-structured-data-via-total-variation-minimization-1901.09838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-in-network-structured-data-via-total-variation-minimization-1901.09838"/></url>
<url><loc>https://scifaro.com/en/abs/error-feedback-fixes-signsgd-and-other-gradient-compression-schemes-1901.09847</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-feedback-fixes-signsgd-and-other-gradient-compression-schemes-1901.09847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-feedback-fixes-signsgd-and-other-gradient-compression-schemes-1901.09847"/></url>
<url><loc>https://scifaro.com/en/abs/activation-adaptation-in-neural-networks-1901.09849</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/activation-adaptation-in-neural-networks-1901.09849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/activation-adaptation-in-neural-networks-1901.09849"/></url>
<url><loc>https://scifaro.com/en/abs/capsattacks-robust-and-imperceptible-adversarial-attacks-on-capsule-networks-1901.09878</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capsattacks-robust-and-imperceptible-adversarial-attacks-on-capsule-networks-1901.09878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capsattacks-robust-and-imperceptible-adversarial-attacks-on-capsule-networks-1901.09878"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-units-of-gans-extended-abstract-1901.09887</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-units-of-gans-extended-abstract-1901.09887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-units-of-gans-extended-abstract-1901.09887"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-learning-with-meta-metric-learners-1901.09890</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-learning-with-meta-metric-learners-1901.09890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-learning-with-meta-metric-learners-1901.09890"/></url>
<url><loc>https://scifaro.com/en/abs/a-black-box-attack-on-neural-networks-based-on-swarm-evolutionary-algorithm-1901.09892</loc><lastmod>2024-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-black-box-attack-on-neural-networks-based-on-swarm-evolutionary-algorithm-1901.09892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-black-box-attack-on-neural-networks-based-on-swarm-evolutionary-algorithm-1901.09892"/></url>
<url><loc>https://scifaro.com/en/abs/modularization-of-end-to-end-learning-case-study-in-arcade-games-1901.09895</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modularization-of-end-to-end-learning-case-study-in-arcade-games-1901.09895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modularization-of-end-to-end-learning-case-study-in-arcade-games-1901.09895"/></url>
<url><loc>https://scifaro.com/en/abs/the-cm-algorithm-for-the-maximum-mutual-information-classifications-of-unseen-instances-1901.09902</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-cm-algorithm-for-the-maximum-mutual-information-classifications-of-unseen-instances-1901.09902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-cm-algorithm-for-the-maximum-mutual-information-classifications-of-unseen-instances-1901.09902"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchically-clustered-representation-learning-1901.09906</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchically-clustered-representation-learning-1901.09906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchically-clustered-representation-learning-1901.09906"/></url>
<url><loc>https://scifaro.com/en/abs/using-pre-training-can-improve-model-robustness-and-uncertainty-1901.09960</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-pre-training-can-improve-model-robustness-and-uncertainty-1901.09960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-pre-training-can-improve-model-robustness-and-uncertainty-1901.09960"/></url>
<url><loc>https://scifaro.com/en/abs/lie-group-auto-encoder-1901.09970</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lie-group-auto-encoder-1901.09970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lie-group-auto-encoder-1901.09970"/></url>
<url><loc>https://scifaro.com/en/abs/heartbeat-anomaly-detection-using-adversarial-oversampling-1901.09972</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heartbeat-anomaly-detection-using-adversarial-oversampling-1901.09972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heartbeat-anomaly-detection-using-adversarial-oversampling-1901.09972"/></url>
<url><loc>https://scifaro.com/en/abs/label-efficient-semi-supervised-learning-via-graph-filtering-1901.09993</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-efficient-semi-supervised-learning-via-graph-filtering-1901.09993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-efficient-semi-supervised-learning-via-graph-filtering-1901.09993"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-understanding-sources-of-harm-throughout-the-machine-learning-life-cycle-1901.10002</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-understanding-sources-of-harm-throughout-the-machine-learning-life-cycle-1901.10002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-understanding-sources-of-harm-throughout-the-machine-learning-life-cycle-1901.10002"/></url>
<url><loc>https://scifaro.com/en/abs/cross-domain-image-manipulation-by-demonstration-1901.10024</loc><lastmod>2019-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-domain-image-manipulation-by-demonstration-1901.10024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-domain-image-manipulation-by-demonstration-1901.10024"/></url>
<url><loc>https://scifaro.com/en/abs/lyapunov-based-safe-policy-optimization-for-continuous-control-1901.10031</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lyapunov-based-safe-policy-optimization-for-continuous-control-1901.10031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lyapunov-based-safe-policy-optimization-for-continuous-control-1901.10031"/></url>
<url><loc>https://scifaro.com/en/abs/towards-aggregating-weighted-feature-attributions-1901.10040</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-aggregating-weighted-feature-attributions-1901.10040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-aggregating-weighted-feature-attributions-1901.10040"/></url>
<url><loc>https://scifaro.com/en/abs/deep-features-analysis-with-attention-networks-1901.10042</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-features-analysis-with-attention-networks-1901.10042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-features-analysis-with-attention-networks-1901.10042"/></url>
<url><loc>https://scifaro.com/en/abs/determining-the-mechanical-properties-of-a-new-composite-material-using-artificial-neural-networks-1901.10050</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/determining-the-mechanical-properties-of-a-new-composite-material-using-artificial-neural-networks-1901.10050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/determining-the-mechanical-properties-of-a-new-composite-material-using-artificial-neural-networks-1901.10050"/></url>
<url><loc>https://scifaro.com/en/abs/towards-fair-deep-clustering-with-multi-state-protected-variables-1901.10053</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-fair-deep-clustering-with-multi-state-protected-variables-1901.10053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-fair-deep-clustering-with-multi-state-protected-variables-1901.10053"/></url>
<url><loc>https://scifaro.com/en/abs/conditioning-by-adaptive-sampling-for-robust-design-1901.10060</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditioning-by-adaptive-sampling-for-robust-design-1901.10060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditioning-by-adaptive-sampling-for-robust-design-1901.10060"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-deep-constrained-clustering-algorithms-and-advances-1901.10061</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-deep-constrained-clustering-algorithms-and-advances-1901.10061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-deep-constrained-clustering-algorithms-and-advances-1901.10061"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-least-squares-low-rank-kernel-machines-1901.10098</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-least-squares-low-rank-kernel-machines-1901.10098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-least-squares-low-rank-kernel-machines-1901.10098"/></url>
<url><loc>https://scifaro.com/en/abs/deep-dust-predicting-concentrations-of-fine-dust-in-seoul-using-lstm-1901.10106</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-dust-predicting-concentrations-of-fine-dust-in-seoul-using-lstm-1901.10106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-dust-predicting-concentrations-of-fine-dust-in-seoul-using-lstm-1901.10106"/></url>
<url><loc>https://scifaro.com/en/abs/self-organization-of-action-hierarchy-and-compositionality-by-reinforcement-learning-with-recurrent-neural-networks-1901.10113</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-organization-of-action-hierarchy-and-compositionality-by-reinforcement-learning-with-recurrent-neural-networks-1901.10113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-organization-of-action-hierarchy-and-compositionality-by-reinforcement-learning-with-recurrent-neural-networks-1901.10113"/></url>
<url><loc>https://scifaro.com/en/abs/harnessing-gans-for-zero-shot-learning-of-new-classes-in-visual-speech-recognition-1901.10139</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harnessing-gans-for-zero-shot-learning-of-new-classes-in-visual-speech-recognition-1901.10139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harnessing-gans-for-zero-shot-learning-of-new-classes-in-visual-speech-recognition-1901.10139"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-sample-selection-approach-to-positive-unlabeled-learning-turning-unlabeled-data-into-positive-rather-than-negative-1901.10155</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-sample-selection-approach-to-positive-unlabeled-learning-turning-unlabeled-data-into-positive-rather-than-negative-1901.10155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-sample-selection-approach-to-positive-unlabeled-learning-turning-unlabeled-data-into-positive-rather-than-negative-1901.10155"/></url>
<url><loc>https://scifaro.com/en/abs/an-investigation-into-neural-net-optimization-via-hessian-eigenvalue-density-1901.10159</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-investigation-into-neural-net-optimization-via-hessian-eigenvalue-density-1901.10159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-investigation-into-neural-net-optimization-via-hessian-eigenvalue-density-1901.10159"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-imbalance-impact-index-a-measure-of-class-imbalanced-dataset-for-classification-problem-1901.10173</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-imbalance-impact-index-a-measure-of-class-imbalanced-dataset-for-classification-problem-1901.10173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-imbalance-impact-index-a-measure-of-class-imbalanced-dataset-for-classification-problem-1901.10173"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-spectral-clustering-via-sampling-a-review-1901.10204</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-spectral-clustering-via-sampling-a-review-1901.10204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-spectral-clustering-via-sampling-a-review-1901.10204"/></url>
<url><loc>https://scifaro.com/en/abs/multikernel-activation-functions-formulation-and-a-case-study-1901.10232</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multikernel-activation-functions-formulation-and-a-case-study-1901.10232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multikernel-activation-functions-formulation-and-a-case-study-1901.10232"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-for-heterogeneous-information-networks-via-embedding-events-1901.10234</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-for-heterogeneous-information-networks-via-embedding-events-1901.10234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-for-heterogeneous-information-networks-via-embedding-events-1901.10234"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-reinforcement-learning-with-multi-step-generative-models-1901.10251</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-reinforcement-learning-with-multi-step-generative-models-1901.10251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-reinforcement-learning-with-multi-step-generative-models-1901.10251"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-training-deep-diagonal-circulant-neural-networks-1901.10255</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-training-deep-diagonal-circulant-neural-networks-1901.10255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-training-deep-diagonal-circulant-neural-networks-1901.10255"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-diversity-in-image-summarization-1901.10265</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-diversity-in-image-summarization-1901.10265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-diversity-in-image-summarization-1901.10265"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-of-functions-by-neural-networks-1901.10267</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-of-functions-by-neural-networks-1901.10267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-of-functions-by-neural-networks-1901.10267"/></url>
<url><loc>https://scifaro.com/en/abs/high-quality-self-supervised-deep-image-denoising-1901.10277</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-quality-self-supervised-deep-image-denoising-1901.10277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-quality-self-supervised-deep-image-denoising-1901.10277"/></url>
<url><loc>https://scifaro.com/en/abs/structural-material-property-tailoring-using-deep-neural-networks-1901.10281</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-material-property-tailoring-using-deep-neural-networks-1901.10281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-material-property-tailoring-using-deep-neural-networks-1901.10281"/></url>
<url><loc>https://scifaro.com/en/abs/robust-learning-from-untrusted-sources-1901.10310</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-learning-from-untrusted-sources-1901.10310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-learning-from-untrusted-sources-1901.10310"/></url>
<url><loc>https://scifaro.com/en/abs/trust-region-guided-proximal-policy-optimization-1901.10314</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trust-region-guided-proximal-policy-optimization-1901.10314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trust-region-guided-proximal-policy-optimization-1901.10314"/></url>
<url><loc>https://scifaro.com/en/abs/limitations-of-assessing-active-learning-performance-at-runtime-1901.10338</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limitations-of-assessing-active-learning-performance-at-runtime-1901.10338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limitations-of-assessing-active-learning-performance-at-runtime-1901.10338"/></url>
<url><loc>https://scifaro.com/en/abs/computing-optimal-assignments-in-linear-time-for-approximate-graph-matching-1901.10356</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-optimal-assignments-in-linear-time-for-approximate-graph-matching-1901.10356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-optimal-assignments-in-linear-time-for-approximate-graph-matching-1901.10356"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effect-of-low-rank-weights-on-adversarial-robustness-of-neural-networks-1901.10371</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effect-of-low-rank-weights-on-adversarial-robustness-of-neural-networks-1901.10371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effect-of-low-rank-weights-on-adversarial-robustness-of-neural-networks-1901.10371"/></url>
<url><loc>https://scifaro.com/en/abs/sliced-generative-models-1901.10417</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sliced-generative-models-1901.10417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sliced-generative-models-1901.10417"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-matrix-completion-with-deep-conditional-random-fields-1901.10429</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-matrix-completion-with-deep-conditional-random-fields-1901.10429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-matrix-completion-with-deep-conditional-random-fields-1901.10429"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-framework-for-assessing-physical-rehabilitation-exercises-1901.10435</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-framework-for-assessing-physical-rehabilitation-exercises-1901.10435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-framework-for-assessing-physical-rehabilitation-exercises-1901.10435"/></url>
<url><loc>https://scifaro.com/en/abs/improved-adversarial-learning-for-fair-classification-1901.10443</loc><lastmod>2019-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-adversarial-learning-for-fair-classification-1901.10443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-adversarial-learning-for-fair-classification-1901.10443"/></url>
<url><loc>https://scifaro.com/en/abs/discretizing-continuous-action-space-for-on-policy-optimization-1901.10500</loc><lastmod>2020-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discretizing-continuous-action-space-for-on-policy-optimization-1901.10500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discretizing-continuous-action-space-for-on-policy-optimization-1901.10500"/></url>
<url><loc>https://scifaro.com/en/abs/repairing-without-retraining-avoiding-disparate-impact-with-counterfactual-distributions-1901.10501</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/repairing-without-retraining-avoiding-disparate-impact-with-counterfactual-distributions-1901.10501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/repairing-without-retraining-avoiding-disparate-impact-with-counterfactual-distributions-1901.10501"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-are-a-natural-consequence-of-test-error-in-noise-1901.10513</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-are-a-natural-consequence-of-test-error-in-noise-1901.10513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-are-a-natural-consequence-of-test-error-in-noise-1901.10513"/></url>
<url><loc>https://scifaro.com/en/abs/hyperspherical-prototype-networks-1901.10514</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperspherical-prototype-networks-1901.10514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperspherical-prototype-networks-1901.10514"/></url>
<url><loc>https://scifaro.com/en/abs/reparameterizable-subset-sampling-via-continuous-relaxations-1901.10517</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reparameterizable-subset-sampling-via-continuous-relaxations-1901.10517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reparameterizable-subset-sampling-via-continuous-relaxations-1901.10517"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-transferability-of-spectral-graph-filters-1901.10524</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-transferability-of-spectral-graph-filters-1901.10524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-transferability-of-spectral-graph-filters-1901.10524"/></url>
<url><loc>https://scifaro.com/en/abs/comprehensive-evaluation-of-deep-learning-architectures-for-prediction-of-dna-rna-sequence-binding-specificities-1901.10526</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comprehensive-evaluation-of-deep-learning-architectures-for-prediction-of-dna-rna-sequence-binding-specificities-1901.10526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comprehensive-evaluation-of-deep-learning-architectures-for-prediction-of-dna-rna-sequence-binding-specificities-1901.10526"/></url>
<url><loc>https://scifaro.com/en/abs/impact-of-data-pruning-on-machine-learning-algorithm-performance-1901.10539</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impact-of-data-pruning-on-machine-learning-algorithm-performance-1901.10539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impact-of-data-pruning-on-machine-learning-algorithm-performance-1901.10539"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-networks-based-hybrid-quantum-classical-machine-learning-approach-to-elucidate-gene-regulatory-pathways-1901.10557</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-networks-based-hybrid-quantum-classical-machine-learning-approach-to-elucidate-gene-regulatory-pathways-1901.10557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-networks-based-hybrid-quantum-classical-machine-learning-approach-to-elucidate-gene-regulatory-pathways-1901.10557"/></url>
<url><loc>https://scifaro.com/en/abs/rare-geometries-revealing-rare-categories-via-dimension-driven-statistics-1901.10585</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rare-geometries-revealing-rare-categories-via-dimension-driven-statistics-1901.10585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rare-geometries-revealing-rare-categories-via-dimension-driven-statistics-1901.10585"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-online-learning-take-benefits-from-others-data-without-sharing-your-own-to-track-global-trend-1901.10593</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-online-learning-take-benefits-from-others-data-without-sharing-your-own-to-track-global-trend-1901.10593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-online-learning-take-benefits-from-others-data-without-sharing-your-own-to-track-global-trend-1901.10593"/></url>
<url><loc>https://scifaro.com/en/abs/numerically-recovering-the-critical-points-of-a-deep-linear-autoencoder-1901.10603</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/numerically-recovering-the-critical-points-of-a-deep-linear-autoencoder-1901.10603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/numerically-recovering-the-critical-points-of-a-deep-linear-autoencoder-1901.10603"/></url>
<url><loc>https://scifaro.com/en/abs/improved-path-length-regret-bounds-for-bandits-1901.10604</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-path-length-regret-bounds-for-bandits-1901.10604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-path-length-regret-bounds-for-bandits-1901.10604"/></url>
<url><loc>https://scifaro.com/en/abs/robust-deep-multi-modal-sensor-fusion-using-fusion-weight-regularization-and-target-learning-1901.10610</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-deep-multi-modal-sensor-fusion-using-fusion-weight-regularization-and-target-learning-1901.10610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-deep-multi-modal-sensor-fusion-using-fusion-weight-regularization-and-target-learning-1901.10610"/></url>
<url><loc>https://scifaro.com/en/abs/enhanced-variational-inference-with-dyadic-transformation-1901.10621</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhanced-variational-inference-with-dyadic-transformation-1901.10621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhanced-variational-inference-with-dyadic-transformation-1901.10621"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-smart-road-signs-1901.10622</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-smart-road-signs-1901.10622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-smart-road-signs-1901.10622"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-bregman-divergences-for-probability-learning-from-crowd-1901.10653</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-bregman-divergences-for-probability-learning-from-crowd-1901.10653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-bregman-divergences-for-probability-learning-from-crowd-1901.10653"/></url>
<url><loc>https://scifaro.com/en/abs/feature-concatenation-multi-view-subspace-clustering-1901.10657</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-concatenation-multi-view-subspace-clustering-1901.10657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-concatenation-multi-view-subspace-clustering-1901.10657"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-sparse-sparse-mixture-of-sparse-experts-for-efficient-softmax-inference-1901.10668</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-sparse-sparse-mixture-of-sparse-experts-for-efficient-softmax-inference-1901.10668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-sparse-sparse-mixture-of-sparse-experts-for-efficient-softmax-inference-1901.10668"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-learned-early-classification-of-time-series-for-in-season-crop-type-mapping-1901.10681</loc><lastmod>2022-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-learned-early-classification-of-time-series-for-in-season-crop-type-mapping-1901.10681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-learned-early-classification-of-time-series-for-in-season-crop-type-mapping-1901.10681"/></url>
<url><loc>https://scifaro.com/en/abs/probability-functional-descent-a-unifying-perspective-on-gans-variational-inference-and-reinforcement-learning-1901.10691</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probability-functional-descent-a-unifying-perspective-on-gans-variational-inference-and-reinforcement-learning-1901.10691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probability-functional-descent-a-unifying-perspective-on-gans-variational-inference-and-reinforcement-learning-1901.10691"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-scalable-representation-learning-for-multivariate-time-series-1901.10738</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-scalable-representation-learning-for-multivariate-time-series-1901.10738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-scalable-representation-learning-for-multivariate-time-series-1901.10738"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-and-multi-objective-nonnegative-matrix-factorization-1901.10757</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-and-multi-objective-nonnegative-matrix-factorization-1901.10757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-and-multi-objective-nonnegative-matrix-factorization-1901.10757"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-with-jointly-learned-nonlinear-transforms-over-discriminating-min-max-similarity-dissimilarity-assignment-1901.10760</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-with-jointly-learned-nonlinear-transforms-over-discriminating-min-max-similarity-dissimilarity-assignment-1901.10760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-with-jointly-learned-nonlinear-transforms-over-discriminating-min-max-similarity-dissimilarity-assignment-1901.10760"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-minimal-margin-maximization-with-boosting-1901.10789</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-minimal-margin-maximization-with-boosting-1901.10789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-minimal-margin-maximization-with-boosting-1901.10789"/></url>
<url><loc>https://scifaro.com/en/abs/deep-archetypal-analysis-1901.10799</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-archetypal-analysis-1901.10799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-archetypal-analysis-1901.10799"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-tensor-models-for-recurrent-neural-networks-1901.10801</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-tensor-models-for-recurrent-neural-networks-1901.10801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-tensor-models-for-recurrent-neural-networks-1901.10801"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-demand-forecasting-for-online-car-hailing-services-using-recurrent-neural-networks-1901.10821</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-demand-forecasting-for-online-car-hailing-services-using-recurrent-neural-networks-1901.10821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-demand-forecasting-for-online-car-hailing-services-using-recurrent-neural-networks-1901.10821"/></url>
<url><loc>https://scifaro.com/en/abs/diversity-regularized-adversarial-learning-1901.10824</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversity-regularized-adversarial-learning-1901.10824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversity-regularized-adversarial-learning-1901.10824"/></url>
<url><loc>https://scifaro.com/en/abs/noise-tolerant-fair-classification-1901.10837</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-tolerant-fair-classification-1901.10837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-tolerant-fair-classification-1901.10837"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-maintenance-in-photovoltaic-plants-with-a-big-data-approach-1901.10855</loc><lastmod>2024-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-maintenance-in-photovoltaic-plants-with-a-big-data-approach-1901.10855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-maintenance-in-photovoltaic-plants-with-a-big-data-approach-1901.10855"/></url>
<url><loc>https://scifaro.com/en/abs/learning-context-dependent-choice-functions-1901.10860</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-context-dependent-choice-functions-1901.10860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-context-dependent-choice-functions-1901.10860"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-explanation-for-the-existence-of-adversarial-examples-with-small-hamming-distance-1901.10861</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-explanation-for-the-existence-of-adversarial-examples-with-small-hamming-distance-1901.10861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-explanation-for-the-existence-of-adversarial-examples-with-small-hamming-distance-1901.10861"/></url>
<url><loc>https://scifaro.com/en/abs/on-correlation-of-features-extracted-by-deep-neural-networks-1901.10900</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-correlation-of-features-extracted-by-deep-neural-networks-1901.10900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-correlation-of-features-extracted-by-deep-neural-networks-1901.10900"/></url>
<url><loc>https://scifaro.com/en/abs/a-meta-transfer-objective-for-learning-to-disentangle-causal-mechanisms-1901.10912</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-meta-transfer-objective-for-learning-to-disentangle-causal-mechanisms-1901.10912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-meta-transfer-objective-for-learning-to-disentangle-causal-mechanisms-1901.10912"/></url>
<url><loc>https://scifaro.com/en/abs/naomi-non-autoregressive-multiresolution-sequence-imputation-1901.10946</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/naomi-non-autoregressive-multiresolution-sequence-imputation-1901.10946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/naomi-non-autoregressive-multiresolution-sequence-imputation-1901.10946"/></url>
<url><loc>https://scifaro.com/en/abs/classifier-suites-for-insider-threat-detection-1901.10948</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifier-suites-for-insider-threat-detection-1901.10948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifier-suites-for-insider-threat-detection-1901.10948"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-in-deep-reinforcement-learning-using-successor-features-and-generalised-policy-improvement-1901.10964</loc><lastmod>2019-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-in-deep-reinforcement-learning-using-successor-features-and-generalised-policy-improvement-1901.10964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-in-deep-reinforcement-learning-using-successor-features-and-generalised-policy-improvement-1901.10964"/></url>
<url><loc>https://scifaro.com/en/abs/go-explore-a-new-approach-for-hard-exploration-problems-1901.10995</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/go-explore-a-new-approach-for-hard-exploration-problems-1901.10995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/go-explore-a-new-approach-for-hard-exploration-problems-1901.10995"/></url>
<url><loc>https://scifaro.com/en/abs/the-wilderness-area-data-set-adapting-the-covertype-data-set-for-unsupervised-learning-1901.11040</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-wilderness-area-data-set-adapting-the-covertype-data-set-for-unsupervised-learning-1901.11040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-wilderness-area-data-set-adapting-the-covertype-data-set-for-unsupervised-learning-1901.11040"/></url>
<url><loc>https://scifaro.com/en/abs/hypergan-a-generative-model-for-diverse-performant-neural-networks-1901.11058</loc><lastmod>2020-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypergan-a-generative-model-for-diverse-performant-neural-networks-1901.11058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypergan-a-generative-model-for-diverse-performant-neural-networks-1901.11058"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-analysis-of-expected-and-distributional-reinforcement-learning-1901.11084</loc><lastmod>2019-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-analysis-of-expected-and-distributional-reinforcement-learning-1901.11084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-analysis-of-expected-and-distributional-reinforcement-learning-1901.11084"/></url>
<url><loc>https://scifaro.com/en/abs/the-evolved-transformer-1901.11117</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-evolved-transformer-1901.11117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-evolved-transformer-1901.11117"/></url>
<url><loc>https://scifaro.com/en/abs/emerging-convolutions-for-generative-normalizing-flows-1901.11137</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emerging-convolutions-for-generative-normalizing-flows-1901.11137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emerging-convolutions-for-generative-normalizing-flows-1901.11137"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-consistency-of-top-k-surrogate-losses-1901.11141</loc><lastmod>2020-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-consistency-of-top-k-surrogate-losses-1901.11141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-consistency-of-top-k-surrogate-losses-1901.11141"/></url>
<url><loc>https://scifaro.com/en/abs/natural-analysts-in-adaptive-data-analysis-1901.11143</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-analysts-in-adaptive-data-analysis-1901.11143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-analysts-in-adaptive-data-analysis-1901.11143"/></url>
<url><loc>https://scifaro.com/en/abs/memory-efficient-adaptive-optimization-1901.11150</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-efficient-adaptive-optimization-1901.11150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-efficient-adaptive-optimization-1901.11150"/></url>
<url><loc>https://scifaro.com/en/abs/distinguishing-between-normal-and-cancer-cells-using-autoencoder-node-saliency-1901.11152</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distinguishing-between-normal-and-cancer-cells-using-autoencoder-node-saliency-1901.11152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distinguishing-between-normal-and-cancer-cells-using-autoencoder-node-saliency-1901.11152"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-temporal-graph-convolutional-networks-for-sign-language-recognition-1901.11164</loc><lastmod>2020-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-temporal-graph-convolutional-networks-for-sign-language-recognition-1901.11164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-temporal-graph-convolutional-networks-for-sign-language-recognition-1901.11164"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-prediction-of-negative-health-events-ahead-of-time-1901.11168</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-prediction-of-negative-health-events-ahead-of-time-1901.11168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-prediction-of-negative-health-events-ahead-of-time-1901.11168"/></url>
<url><loc>https://scifaro.com/en/abs/peer-to-peer-federated-learning-on-graphs-1901.11173</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/peer-to-peer-federated-learning-on-graphs-1901.11173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/peer-to-peer-federated-learning-on-graphs-1901.11173"/></url>
<url><loc>https://scifaro.com/en/abs/a-bad-arm-existence-checking-problem-1901.11200</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bad-arm-existence-checking-problem-1901.11200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bad-arm-existence-checking-problem-1901.11200"/></url>
<url><loc>https://scifaro.com/en/abs/multi-gcn-graph-convolutional-networks-for-multi-view-networks-with-applications-to-global-poverty-1901.11213</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-gcn-graph-convolutional-networks-for-multi-view-networks-with-applications-to-global-poverty-1901.11213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-gcn-graph-convolutional-networks-for-multi-view-networks-with-applications-to-global-poverty-1901.11213"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-of-regularized-markov-decision-processes-1901.11275</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-of-regularized-markov-decision-processes-1901.11275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-of-regularized-markov-decision-processes-1901.11275"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-correlation-based-feature-selection-in-spark-1901.11286</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-correlation-based-feature-selection-in-spark-1901.11286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-correlation-based-feature-selection-in-spark-1901.11286"/></url>
<url><loc>https://scifaro.com/en/abs/hyperbox-based-machine-learning-algorithms-a-comprehensive-survey-1901.11303</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperbox-based-machine-learning-algorithms-a-comprehensive-survey-1901.11303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperbox-based-machine-learning-algorithms-a-comprehensive-survey-1901.11303"/></url>
<url><loc>https://scifaro.com/en/abs/new-tricks-for-estimating-gradients-of-expectations-1901.11311</loc><lastmod>2022-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-tricks-for-estimating-gradients-of-expectations-1901.11311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-tricks-for-estimating-gradients-of-expectations-1901.11311"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-dirichlet-process-means-for-f-separable-distortion-measures-1901.11331</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-dirichlet-process-means-for-f-separable-distortion-measures-1901.11331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-dirichlet-process-means-for-f-separable-distortion-measures-1901.11331"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-ordinal-regression-based-on-empirical-risk-minimization-1901.11351</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-ordinal-regression-based-on-empirical-risk-minimization-1901.11351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-ordinal-regression-based-on-empirical-risk-minimization-1901.11351"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-inverse-problems-bounds-and-regularizers-1901.11352</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-inverse-problems-bounds-and-regularizers-1901.11352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-inverse-problems-bounds-and-regularizers-1901.11352"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-evaluating-general-linguistic-intelligence-1901.11373</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-evaluating-general-linguistic-intelligence-1901.11373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-evaluating-general-linguistic-intelligence-1901.11373"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-metric-combining-for-non-coherent-molecular-signal-detection-1901.11422</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-metric-combining-for-non-coherent-molecular-signal-detection-1901.11422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-metric-combining-for-non-coherent-molecular-signal-detection-1901.11422"/></url>
<url><loc>https://scifaro.com/en/abs/successor-features-combine-elements-of-model-free-and-model-based-reinforcement-learning-1901.11437</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/successor-features-combine-elements-of-model-free-and-model-based-reinforcement-learning-1901.11437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/successor-features-combine-elements-of-model-free-and-model-based-reinforcement-learning-1901.11437"/></url>
<url><loc>https://scifaro.com/en/abs/toward-sensor-based-sleep-monitoring-with-electrodermal-activity-measures-1901.11440</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-sensor-based-sleep-monitoring-with-electrodermal-activity-measures-1901.11440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-sensor-based-sleep-monitoring-with-electrodermal-activity-measures-1901.11440"/></url>
<url><loc>https://scifaro.com/en/abs/feature-critic-networks-for-heterogeneous-domain-generalization-1901.11448</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-critic-networks-for-heterogeneous-domain-generalization-1901.11448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-critic-networks-for-heterogeneous-domain-generalization-1901.11448"/></url>
<url><loc>https://scifaro.com/en/abs/improving-sgd-convergence-by-online-linear-regression-of-gradients-in-multiple-statistically-relevant-directions-1901.11457</loc><lastmod>2023-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-sgd-convergence-by-online-linear-regression-of-gradients-in-multiple-statistically-relevant-directions-1901.11457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-sgd-convergence-by-online-linear-regression-of-gradients-in-multiple-statistically-relevant-directions-1901.11457"/></url>
<url><loc>https://scifaro.com/en/abs/effect-of-various-regularizers-on-model-complexities-of-neural-networks-in-presence-of-input-noise-1901.11458</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effect-of-various-regularizers-on-model-complexities-of-neural-networks-in-presence-of-input-noise-1901.11458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effect-of-various-regularizers-on-model-complexities-of-neural-networks-in-presence-of-input-noise-1901.11458"/></url>
<url><loc>https://scifaro.com/en/abs/funnelling-a-new-ensemble-method-for-heterogeneous-transfer-learning-and-its-application-to-cross-lingual-text-classification-1901.11459</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/funnelling-a-new-ensemble-method-for-heterogeneous-transfer-learning-and-its-application-to-cross-lingual-text-classification-1901.11459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/funnelling-a-new-ensemble-method-for-heterogeneous-transfer-learning-and-its-application-to-cross-lingual-text-classification-1901.11459"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-removal-of-malicious-nodes-from-networks-1901.11463</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-removal-of-malicious-nodes-from-networks-1901.11463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-removal-of-malicious-nodes-from-networks-1901.11463"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimization-framework-for-task-sequencing-in-curriculum-learning-1901.11478</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimization-framework-for-task-sequencing-in-curriculum-learning-1901.11478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimization-framework-for-task-sequencing-in-curriculum-learning-1901.11478"/></url>
<url><loc>https://scifaro.com/en/abs/improving-generation-quality-of-pointer-networks-via-guided-attention-1901.11492</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-generation-quality-of-pointer-networks-via-guided-attention-1901.11492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-generation-quality-of-pointer-networks-via-guided-attention-1901.11492"/></url>
<url><loc>https://scifaro.com/en/abs/deep-recurrent-factor-model-interpretable-non-linear-and-time-varying-multi-factor-model-1901.11493</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-recurrent-factor-model-interpretable-non-linear-and-time-varying-multi-factor-model-1901.11493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-recurrent-factor-model-interpretable-non-linear-and-time-varying-multi-factor-model-1901.11493"/></url>
<url><loc>https://scifaro.com/en/abs/inducing-sparse-coding-and-and-or-grammar-from-generator-network-1901.11494</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inducing-sparse-coding-and-and-or-grammar-from-generator-network-1901.11494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inducing-sparse-coding-and-and-or-grammar-from-generator-network-1901.11494"/></url>
<url><loc>https://scifaro.com/en/abs/contrasting-exploration-in-parameter-and-action-space-a-zeroth-order-optimization-perspective-1901.11503</loc><lastmod>2019-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrasting-exploration-in-parameter-and-action-space-a-zeroth-order-optimization-perspective-1901.11503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrasting-exploration-in-parameter-and-action-space-a-zeroth-order-optimization-perspective-1901.11503"/></url>
<url><loc>https://scifaro.com/en/abs/probo-versatile-bayesian-optimization-using-any-probabilistic-programming-language-1901.11515</loc><lastmod>2019-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probo-versatile-bayesian-optimization-using-any-probabilistic-programming-language-1901.11515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probo-versatile-bayesian-optimization-using-any-probabilistic-programming-language-1901.11515"/></url>
<url><loc>https://scifaro.com/en/abs/the-value-function-polytope-in-reinforcement-learning-1901.11524</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-value-function-polytope-in-reinforcement-learning-1901.11524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-value-function-polytope-in-reinforcement-learning-1901.11524"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometric-perspective-on-optimal-representations-for-reinforcement-learning-1901.11530</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometric-perspective-on-optimal-representations-for-reinforcement-learning-1901.11530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometric-perspective-on-optimal-representations-for-reinforcement-learning-1901.11530"/></url>
<url><loc>https://scifaro.com/en/abs/an-evaluation-of-the-human-interpretability-of-explanation-1902.00006</loc><lastmod>2019-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-evaluation-of-the-human-interpretability-of-explanation-1902.00006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-evaluation-of-the-human-interpretability-of-explanation-1902.00006"/></url>
<url><loc>https://scifaro.com/en/abs/network-parameter-learning-using-nonlinear-transforms-local-representation-goals-and-local-propagation-constraints-1902.00016</loc><lastmod>2019-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-parameter-learning-using-nonlinear-transforms-local-representation-goals-and-local-propagation-constraints-1902.00016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-parameter-learning-using-nonlinear-transforms-local-representation-goals-and-local-propagation-constraints-1902.00016"/></url>
<url><loc>https://scifaro.com/en/abs/compressed-diffusion-1902.00033</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressed-diffusion-1902.00033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressed-diffusion-1902.00033"/></url>
<url><loc>https://scifaro.com/en/abs/your-gameplay-says-it-all-modelling-motivation-in-tom-clancy-s-the-division-1902.00040</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/your-gameplay-says-it-all-modelling-motivation-in-tom-clancy-s-the-division-1902.00040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/your-gameplay-says-it-all-modelling-motivation-in-tom-clancy-s-the-division-1902.00040"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-conditional-random-fields-for-classification-1902.00045</loc><lastmod>2019-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-conditional-random-fields-for-classification-1902.00045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-conditional-random-fields-for-classification-1902.00045"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-discriminative-learning-with-layered-graphical-models-1902.00057</loc><lastmod>2019-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-discriminative-learning-with-layered-graphical-models-1902.00057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-discriminative-learning-with-layered-graphical-models-1902.00057"/></url>
<url><loc>https://scifaro.com/en/abs/learning-triggers-for-heterogeneous-treatment-effects-1902.00087</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-triggers-for-heterogeneous-treatment-effects-1902.00087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-triggers-for-heterogeneous-treatment-effects-1902.00087"/></url>
<url><loc>https://scifaro.com/en/abs/safe-efficient-and-comfortable-velocity-control-based-on-reinforcement-learning-for-autonomous-driving-1902.00089</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-efficient-and-comfortable-velocity-control-based-on-reinforcement-learning-for-autonomous-driving-1902.00089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-efficient-and-comfortable-velocity-control-based-on-reinforcement-learning-for-autonomous-driving-1902.00089"/></url>
<url><loc>https://scifaro.com/en/abs/ensembling-methods-for-countrywide-short-term-forecasting-of-gas-demand-1902.00097</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensembling-methods-for-countrywide-short-term-forecasting-of-gas-demand-1902.00097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensembling-methods-for-countrywide-short-term-forecasting-of-gas-demand-1902.00097"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-statistical-evaluation-of-algorithmic-s-computational-experimentation-with-infeasible-solutions-1902.00101</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-statistical-evaluation-of-algorithmic-s-computational-experimentation-with-infeasible-solutions-1902.00101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-statistical-evaluation-of-algorithmic-s-computational-experimentation-with-infeasible-solutions-1902.00101"/></url>
<url><loc>https://scifaro.com/en/abs/initkmix-a-novel-initial-partition-generation-algorithm-for-clustering-mixed-data-using-k-means-based-clustering-1902.00127</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/initkmix-a-novel-initial-partition-generation-algorithm-for-clustering-mixed-data-using-k-means-based-clustering-1902.00127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/initkmix-a-novel-initial-partition-generation-algorithm-for-clustering-mixed-data-using-k-means-based-clustering-1902.00127"/></url>
<url><loc>https://scifaro.com/en/abs/tsallis-reinforcement-learning-a-unified-framework-for-maximum-entropy-reinforcement-learning-1902.00137</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tsallis-reinforcement-learning-a-unified-framework-for-maximum-entropy-reinforcement-learning-1902.00137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tsallis-reinforcement-learning-a-unified-framework-for-maximum-entropy-reinforcement-learning-1902.00137"/></url>
<url><loc>https://scifaro.com/en/abs/passed-spurious-descent-algorithms-and-local-minima-in-spiked-matrix-tensor-models-1902.00139</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/passed-spurious-descent-algorithms-and-local-minima-in-spiked-matrix-tensor-models-1902.00139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/passed-spurious-descent-algorithms-and-local-minima-in-spiked-matrix-tensor-models-1902.00139"/></url>
<url><loc>https://scifaro.com/en/abs/graph-resistance-and-learning-from-pairwise-comparisons-1902.00141</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-resistance-and-learning-from-pairwise-comparisons-1902.00141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-resistance-and-learning-from-pairwise-comparisons-1902.00141"/></url>
<url><loc>https://scifaro.com/en/abs/agnostic-federated-learning-1902.00146</loc><lastmod>2019-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agnostic-federated-learning-1902.00146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agnostic-federated-learning-1902.00146"/></url>
<url><loc>https://scifaro.com/en/abs/compressing-gans-using-knowledge-distillation-1902.00159</loc><lastmod>2019-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressing-gans-using-knowledge-distillation-1902.00159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressing-gans-using-knowledge-distillation-1902.00159"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-off-policy-evaluation-1902.00174</loc><lastmod>2019-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-off-policy-evaluation-1902.00174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-off-policy-evaluation-1902.00174"/></url>
<url><loc>https://scifaro.com/en/abs/compressing-gradient-optimizers-via-count-sketches-1902.00179</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressing-gradient-optimizers-via-count-sketches-1902.00179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressing-gradient-optimizers-via-count-sketches-1902.00179"/></url>
<url><loc>https://scifaro.com/en/abs/learning-action-representations-for-reinforcement-learning-1902.00183</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-action-representations-for-reinforcement-learning-1902.00183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-action-representations-for-reinforcement-learning-1902.00183"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-attack-against-autoregressive-models-by-manipulating-the-environment-1902.00202</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-attack-against-autoregressive-models-by-manipulating-the-environment-1902.00202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-attack-against-autoregressive-models-by-manipulating-the-environment-1902.00202"/></url>
<url><loc>https://scifaro.com/en/abs/causally-driven-incremental-multi-touch-attribution-using-a-recurrent-neural-network-1902.00215</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causally-driven-incremental-multi-touch-attribution-using-a-recurrent-neural-network-1902.00215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causally-driven-incremental-multi-touch-attribution-using-a-recurrent-neural-network-1902.00215"/></url>
<url><loc>https://scifaro.com/en/abs/natural-and-adversarial-error-detection-using-invariance-to-image-transformations-1902.00236</loc><lastmod>2019-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-and-adversarial-error-detection-using-invariance-to-image-transformations-1902.00236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-and-adversarial-error-detection-using-invariance-to-image-transformations-1902.00236"/></url>
<url><loc>https://scifaro.com/en/abs/policy-consolidation-for-continual-reinforcement-learning-1902.00255</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-consolidation-for-continual-reinforcement-learning-1902.00255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-consolidation-for-continual-reinforcement-learning-1902.00255"/></url>
<url><loc>https://scifaro.com/en/abs/flow-improving-flow-based-generative-models-with-variational-dequantization-and-architecture-design-1902.00275</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flow-improving-flow-based-generative-models-with-variational-dequantization-and-architecture-design-1902.00275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flow-improving-flow-based-generative-models-with-variational-dequantization-and-architecture-design-1902.00275"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-stochastic-optimization-and-gossip-algorithms-with-compressed-communication-1902.00340</loc><lastmod>2019-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-stochastic-optimization-and-gossip-algorithms-with-compressed-communication-1902.00340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-stochastic-optimization-and-gossip-algorithms-with-compressed-communication-1902.00340"/></url>
<url><loc>https://scifaro.com/en/abs/training-artificial-neural-networks-by-generalized-likelihood-ratio-method-exploring-brain-like-learning-to-improve-robustness-1902.00358</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-artificial-neural-networks-by-generalized-likelihood-ratio-method-exploring-brain-like-learning-to-improve-robustness-1902.00358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-artificial-neural-networks-by-generalized-likelihood-ratio-method-exploring-brain-like-learning-to-improve-robustness-1902.00358"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-fairness-breaking-vicious-cycles-in-automatic-decision-making-1902.00375</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-fairness-breaking-vicious-cycles-in-automatic-decision-making-1902.00375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-fairness-breaking-vicious-cycles-in-automatic-decision-making-1902.00375"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-impacts-of-high-order-loss-approximations-and-features-in-deep-learning-interpretation-1902.00407</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-impacts-of-high-order-loss-approximations-and-features-in-deep-learning-interpretation-1902.00407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-impacts-of-high-order-loss-approximations-and-features-in-deep-learning-interpretation-1902.00407"/></url>
<url><loc>https://scifaro.com/en/abs/normalized-wasserstein-distance-for-mixture-distributions-with-applications-in-adversarial-learning-and-domain-adaptation-1902.00415</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalized-wasserstein-distance-for-mixture-distributions-with-applications-in-adversarial-learning-and-domain-adaptation-1902.00415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalized-wasserstein-distance-for-mixture-distributions-with-applications-in-adversarial-learning-and-domain-adaptation-1902.00415"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-sliced-wasserstein-distances-1902.00434</loc><lastmod>2019-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-sliced-wasserstein-distances-1902.00434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-sliced-wasserstein-distances-1902.00434"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-deconfounder-estimating-treatment-effects-over-time-in-the-presence-of-hidden-confounders-1902.00450</loc><lastmod>2020-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-deconfounder-estimating-treatment-effects-over-time-in-the-presence-of-hidden-confounders-1902.00450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-deconfounder-estimating-treatment-effects-over-time-in-the-presence-of-hidden-confounders-1902.00450"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-hybrid-network-architectures-for-extremely-quantized-neural-networks-enabling-intelligence-at-the-edge-1902.00460</loc><lastmod>2019-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-hybrid-network-architectures-for-extremely-quantized-neural-networks-enabling-intelligence-at-the-edge-1902.00460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-hybrid-network-architectures-for-extremely-quantized-neural-networks-enabling-intelligence-at-the-edge-1902.00460"/></url>
<url><loc>https://scifaro.com/en/abs/tf-replicator-distributed-machine-learning-for-researchers-1902.00465</loc><lastmod>2019-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tf-replicator-distributed-machine-learning-for-researchers-1902.00465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tf-replicator-distributed-machine-learning-for-researchers-1902.00465"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-theoretic-approach-to-minimax-regret-in-partial-monitoring-1902.00470</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-theoretic-approach-to-minimax-regret-in-partial-monitoring-1902.00470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-theoretic-approach-to-minimax-regret-in-partial-monitoring-1902.00470"/></url>
<url><loc>https://scifaro.com/en/abs/dante-deep-alternations-for-training-neural-networks-1902.00491</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dante-deep-alternations-for-training-neural-networks-1902.00491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dante-deep-alternations-for-training-neural-networks-1902.00491"/></url>
<url><loc>https://scifaro.com/en/abs/the-hanabi-challenge-a-new-frontier-for-ai-research-1902.00506</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-hanabi-challenge-a-new-frontier-for-ai-research-1902.00506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-hanabi-challenge-a-new-frontier-for-ai-research-1902.00506"/></url>
<url><loc>https://scifaro.com/en/abs/competitive-experience-replay-1902.00528</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/competitive-experience-replay-1902.00528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/competitive-experience-replay-1902.00528"/></url>
<url><loc>https://scifaro.com/en/abs/hyper-parameter-tuning-under-a-budget-constraint-1902.00532</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyper-parameter-tuning-under-a-budget-constraint-1902.00532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyper-parameter-tuning-under-a-budget-constraint-1902.00532"/></url>
<url><loc>https://scifaro.com/en/abs/the-efficacy-of-shield-under-different-threat-models-1902.00541</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-efficacy-of-shield-under-different-threat-models-1902.00541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-efficacy-of-shield-under-different-threat-models-1902.00541"/></url>
<url><loc>https://scifaro.com/en/abs/visual-rationalizations-in-deep-reinforcement-learning-for-atari-games-1902.00566</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-rationalizations-in-deep-reinforcement-learning-for-atari-games-1902.00566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-rationalizations-in-deep-reinforcement-learning-for-atari-games-1902.00566"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-of-generalized-learning-vector-quantization-models-against-adversarial-attacks-1902.00577</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-of-generalized-learning-vector-quantization-models-against-adversarial-attacks-1902.00577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-of-generalized-learning-vector-quantization-models-against-adversarial-attacks-1902.00577"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-of-discrete-graphical-models-1902.00600</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-of-discrete-graphical-models-1902.00600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-of-discrete-graphical-models-1902.00600"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-composition-of-word-embeddings-via-tensor-decomposition-1902.00613</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-composition-of-word-embeddings-via-tensor-decomposition-1902.00613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-composition-of-word-embeddings-via-tensor-decomposition-1902.00613"/></url>
<url><loc>https://scifaro.com/en/abs/what-is-local-optimality-in-nonconvex-nonconcave-minimax-optimization-1902.00618</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-is-local-optimality-in-nonconvex-nonconcave-minimax-optimization-1902.00618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-is-local-optimality-in-nonconvex-nonconcave-minimax-optimization-1902.00618"/></url>
<url><loc>https://scifaro.com/en/abs/on-generalization-error-bounds-of-noisy-gradient-methods-for-non-convex-learning-1902.00621</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-generalization-error-bounds-of-noisy-gradient-methods-for-non-convex-learning-1902.00621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-generalization-error-bounds-of-noisy-gradient-methods-for-non-convex-learning-1902.00621"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-curve-alignment-1902.00626</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-curve-alignment-1902.00626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-curve-alignment-1902.00626"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-estimation-of-auc-in-a-sliding-window-1902.00632</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-estimation-of-auc-in-a-sliding-window-1902.00632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-estimation-of-auc-in-a-sliding-window-1902.00632"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-in-time-weak-error-analysis-for-stochastic-gradient-descent-algorithms-via-diffusion-approximation-1902.00635</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-in-time-weak-error-analysis-for-stochastic-gradient-descent-algorithms-via-diffusion-approximation-1902.00635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-in-time-weak-error-analysis-for-stochastic-gradient-descent-algorithms-via-diffusion-approximation-1902.00635"/></url>
<url><loc>https://scifaro.com/en/abs/a-spatial-temporal-decomposition-based-deep-neural-network-for-time-series-forecasting-1902.00636</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spatial-temporal-decomposition-based-deep-neural-network-for-time-series-forecasting-1902.00636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spatial-temporal-decomposition-based-deep-neural-network-for-time-series-forecasting-1902.00636"/></url>
<url><loc>https://scifaro.com/en/abs/particle-flow-bayes-rule-1902.00640</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-flow-bayes-rule-1902.00640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-flow-bayes-rule-1902.00640"/></url>
<url><loc>https://scifaro.com/en/abs/codedprivateml-a-fast-and-privacy-preserving-framework-for-distributed-machine-learning-1902.00641</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/codedprivateml-a-fast-and-privacy-preserving-framework-for-distributed-machine-learning-1902.00641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/codedprivateml-a-fast-and-privacy-preserving-framework-for-distributed-machine-learning-1902.00641"/></url>
<url><loc>https://scifaro.com/en/abs/learned-indexes-for-dynamic-workloads-1902.00655</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learned-indexes-for-dynamic-workloads-1902.00655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learned-indexes-for-dynamic-workloads-1902.00655"/></url>
<url><loc>https://scifaro.com/en/abs/first-order-bayesian-regret-analysis-of-thompson-sampling-1902.00681</loc><lastmod>2022-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/first-order-bayesian-regret-analysis-of-thompson-sampling-1902.00681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/first-order-bayesian-regret-analysis-of-thompson-sampling-1902.00681"/></url>
<url><loc>https://scifaro.com/en/abs/when-collaborative-filtering-meets-reinforcement-learning-1902.00715</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-collaborative-filtering-meets-reinforcement-learning-1902.00715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-collaborative-filtering-meets-reinforcement-learning-1902.00715"/></url>
<url><loc>https://scifaro.com/en/abs/learning-user-preferences-via-reinforcement-learning-with-spatial-interface-valuing-1902.00719</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-user-preferences-via-reinforcement-learning-with-spatial-interface-valuing-1902.00719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-user-preferences-via-reinforcement-learning-with-spatial-interface-valuing-1902.00719"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-vertex-reconstruction-of-neutrino-nucleus-interaction-events-with-combined-energy-and-time-data-1902.00743</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-vertex-reconstruction-of-neutrino-nucleus-interaction-events-with-combined-energy-and-time-data-1902.00743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-vertex-reconstruction-of-neutrino-nucleus-interaction-events-with-combined-energy-and-time-data-1902.00743"/></url>
<url><loc>https://scifaro.com/en/abs/asymmetric-valleys-beyond-sharp-and-flat-local-minima-1902.00744</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymmetric-valleys-beyond-sharp-and-flat-local-minima-1902.00744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymmetric-valleys-beyond-sharp-and-flat-local-minima-1902.00744"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-efficient-transfer-learning-for-nlp-1902.00751</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-efficient-transfer-learning-for-nlp-1902.00751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-efficient-transfer-learning-for-nlp-1902.00751"/></url>
<url><loc>https://scifaro.com/en/abs/learning-linear-dynamical-systems-with-semi-parametric-least-squares-1902.00768</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-linear-dynamical-systems-with-semi-parametric-least-squares-1902.00768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-linear-dynamical-systems-with-semi-parametric-least-squares-1902.00768"/></url>
<url><loc>https://scifaro.com/en/abs/certified-reinforcement-learning-with-logic-guidance-1902.00778</loc><lastmod>2023-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certified-reinforcement-learning-with-logic-guidance-1902.00778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certified-reinforcement-learning-with-logic-guidance-1902.00778"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-sampling-in-generative-adversarial-networks-1902.00813</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-sampling-in-generative-adversarial-networks-1902.00813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-sampling-in-generative-adversarial-networks-1902.00813"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-learning-with-maximum-entropy-regularization-rethinking-forgetting-and-intransigence-1902.00829</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-learning-with-maximum-entropy-regularization-rethinking-forgetting-and-intransigence-1902.00829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-learning-with-maximum-entropy-regularization-rethinking-forgetting-and-intransigence-1902.00829"/></url>
<url><loc>https://scifaro.com/en/abs/a-meta-mdp-approach-to-exploration-for-lifelong-reinforcement-learning-1902.00843</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-meta-mdp-approach-to-exploration-for-lifelong-reinforcement-learning-1902.00843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-meta-mdp-approach-to-exploration-for-lifelong-reinforcement-learning-1902.00843"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-on-regularization-of-deep-neural-networks-by-local-rademacher-complexity-1902.00873</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-on-regularization-of-deep-neural-networks-by-local-rademacher-complexity-1902.00873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-on-regularization-of-deep-neural-networks-by-local-rademacher-complexity-1902.00873"/></url>
<url><loc>https://scifaro.com/en/abs/a-relational-tucker-decomposition-for-multi-relational-link-prediction-1902.00898</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-relational-tucker-decomposition-for-multi-relational-link-prediction-1902.00898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-relational-tucker-decomposition-for-multi-relational-link-prediction-1902.00898"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-descent-for-nonconvex-learning-without-bounded-gradient-assumptions-1902.00908</loc><lastmod>2019-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-descent-for-nonconvex-learning-without-bounded-gradient-assumptions-1902.00908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-descent-for-nonconvex-learning-without-bounded-gradient-assumptions-1902.00908"/></url>
<url><loc>https://scifaro.com/en/abs/finite-time-error-bounds-for-linear-stochastic-approximation-and-td-learning-1902.00923</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-time-error-bounds-for-linear-stochastic-approximation-and-td-learning-1902.00923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-time-error-bounds-for-linear-stochastic-approximation-and-td-learning-1902.00923"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-semi-supervised-learning-for-uncertainty-calibrated-prediction-of-molecular-properties-and-active-learning-1902.00925</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-semi-supervised-learning-for-uncertainty-calibrated-prediction-of-molecular-properties-and-active-learning-1902.00925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-semi-supervised-learning-for-uncertainty-calibrated-prediction-of-molecular-properties-and-active-learning-1902.00925"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-algorithm-for-non-stationary-contextual-bandits-efficient-optimal-and-parameter-free-1902.00980</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-algorithm-for-non-stationary-contextual-bandits-efficient-optimal-and-parameter-free-1902.00980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-algorithm-for-non-stationary-contextual-bandits-efficient-optimal-and-parameter-free-1902.00980"/></url>
<url><loc>https://scifaro.com/en/abs/learning-counterfactual-representations-for-estimating-individual-dose-response-curves-1902.00981</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-counterfactual-representations-for-estimating-individual-dose-response-curves-1902.00981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-counterfactual-representations-for-estimating-individual-dose-response-curves-1902.00981"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-experimental-design-bridging-the-gap-between-statistical-and-worst-case-approaches-to-least-squares-regression-1902.00995</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-experimental-design-bridging-the-gap-between-statistical-and-worst-case-approaches-to-least-squares-regression-1902.00995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-experimental-design-bridging-the-gap-between-statistical-and-worst-case-approaches-to-least-squares-regression-1902.00995"/></url>
<url><loc>https://scifaro.com/en/abs/study-of-robust-distributed-diffusion-rls-algorithms-with-side-information-for-adaptive-networks-1902.01005</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/study-of-robust-distributed-diffusion-rls-algorithms-with-side-information-for-adaptive-networks-1902.01005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/study-of-robust-distributed-diffusion-rls-algorithms-with-side-information-for-adaptive-networks-1902.01005"/></url>
<url><loc>https://scifaro.com/en/abs/seizure-type-classification-using-eeg-signals-and-machine-learning-setting-a-benchmark-1902.01012</loc><lastmod>2020-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seizure-type-classification-using-eeg-signals-and-machine-learning-setting-a-benchmark-1902.01012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seizure-type-classification-using-eeg-signals-and-machine-learning-setting-a-benchmark-1902.01012"/></url>
<url><loc>https://scifaro.com/en/abs/graph-warp-module-an-auxiliary-module-for-boosting-the-power-of-graph-neural-networks-in-molecular-graph-analysis-1902.01020</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-warp-module-an-auxiliary-module-for-boosting-the-power-of-graph-neural-networks-in-molecular-graph-analysis-1902.01020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-warp-module-an-auxiliary-module-for-boosting-the-power-of-graph-neural-networks-in-molecular-graph-analysis-1902.01020"/></url>
<url><loc>https://scifaro.com/en/abs/can-sgd-learn-recurrent-neural-networks-with-provable-generalization-1902.01028</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-sgd-learn-recurrent-neural-networks-with-provable-generalization-1902.01028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-sgd-learn-recurrent-neural-networks-with-provable-generalization-1902.01028"/></url>
<url><loc>https://scifaro.com/en/abs/towards-federated-learning-at-scale-system-design-1902.01046</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-federated-learning-at-scale-system-design-1902.01046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-federated-learning-at-scale-system-design-1902.01046"/></url>
<url><loc>https://scifaro.com/en/abs/online-multiclass-classification-based-on-prediction-margin-for-partial-feedback-1902.01056</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-multiclass-classification-based-on-prediction-margin-for-partial-feedback-1902.01056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-multiclass-classification-based-on-prediction-margin-for-partial-feedback-1902.01056"/></url>
<url><loc>https://scifaro.com/en/abs/2-d-embedding-of-large-and-high-dimensional-data-with-minimal-memory-and-computational-time-requirements-1902.01108</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/2-d-embedding-of-large-and-high-dimensional-data-with-minimal-memory-and-computational-time-requirements-1902.01108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/2-d-embedding-of-large-and-high-dimensional-data-with-minimal-memory-and-computational-time-requirements-1902.01108"/></url>
<url><loc>https://scifaro.com/en/abs/active-automata-learning-with-adaptive-distinguishing-sequences-1902.01139</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-automata-learning-with-adaptive-distinguishing-sequences-1902.01139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-automata-learning-with-adaptive-distinguishing-sequences-1902.01139"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-adaptive-stochastic-gradient-algorithms-on-matrix-manifolds-1902.01144</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-adaptive-stochastic-gradient-algorithms-on-matrix-manifolds-1902.01144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-adaptive-stochastic-gradient-algorithms-on-matrix-manifolds-1902.01144"/></url>
<url><loc>https://scifaro.com/en/abs/is-spiking-secure-a-comparative-study-on-the-security-vulnerabilities-of-spiking-and-deep-neural-networks-1902.01147</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-spiking-secure-a-comparative-study-on-the-security-vulnerabilities-of-spiking-and-deep-neural-networks-1902.01147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-spiking-secure-a-comparative-study-on-the-security-vulnerabilities-of-spiking-and-deep-neural-networks-1902.01147"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-evidence-for-adversarial-robustness-through-randomization-1902.01148</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-evidence-for-adversarial-robustness-through-randomization-1902.01148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-evidence-for-adversarial-robustness-through-randomization-1902.01148"/></url>
<url><loc>https://scifaro.com/en/abs/capstore-energy-efficient-design-and-management-of-the-on-chip-memory-for-capsulenet-inference-accelerators-1902.01151</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capstore-energy-efficient-design-and-management-of-the-on-chip-memory-for-capsulenet-inference-accelerators-1902.01151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capstore-energy-efficient-design-and-management-of-the-on-chip-memory-for-capsulenet-inference-accelerators-1902.01151"/></url>
<url><loc>https://scifaro.com/en/abs/deep-one-class-classification-using-intra-class-splitting-1902.01194</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-one-class-classification-using-intra-class-splitting-1902.01194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-one-class-classification-using-intra-class-splitting-1902.01194"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-family-of-neural-networks-provably-resistant-to-adversarial-attacks-1902.01208</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-family-of-neural-networks-provably-resistant-to-adversarial-attacks-1902.01208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-family-of-neural-networks-provably-resistant-to-adversarial-attacks-1902.01208"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-certificates-against-adversarial-examples-for-relu-networks-1902.01235</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-certificates-against-adversarial-examples-for-relu-networks-1902.01235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-certificates-against-adversarial-examples-for-relu-networks-1902.01235"/></url>
<url><loc>https://scifaro.com/en/abs/pipps-flexible-model-based-policy-search-robust-to-the-curse-of-chaos-1902.01240</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pipps-flexible-model-based-policy-search-robust-to-the-curse-of-chaos-1902.01240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pipps-flexible-model-based-policy-search-robust-to-the-curse-of-chaos-1902.01240"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-error-bounds-of-gradient-descent-for-learning-over-parameterized-deep-relu-networks-1902.01384</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-error-bounds-of-gradient-descent-for-learning-over-parameterized-deep-relu-networks-1902.01384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-error-bounds-of-gradient-descent-for-learning-over-parameterized-deep-relu-networks-1902.01384"/></url>
<url><loc>https://scifaro.com/en/abs/embodied-multimodal-multitask-learning-1902.01385</loc><lastmod>2019-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embodied-multimodal-multitask-learning-1902.01385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embodied-multimodal-multitask-learning-1902.01385"/></url>
<url><loc>https://scifaro.com/en/abs/re-examination-of-the-role-of-latent-variables-in-sequence-modeling-1902.01388</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/re-examination-of-the-role-of-latent-variables-in-sequence-modeling-1902.01388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/re-examination-of-the-role-of-latent-variables-in-sequence-modeling-1902.01388"/></url>
<url><loc>https://scifaro.com/en/abs/pvnet-a-lrcn-architecture-for-spatio-temporal-photovoltaic-powerforecasting-from-numerical-weather-prediction-1902.01453</loc><lastmod>2024-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pvnet-a-lrcn-architecture-for-spatio-temporal-photovoltaic-powerforecasting-from-numerical-weather-prediction-1902.01453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pvnet-a-lrcn-architecture-for-spatio-temporal-photovoltaic-powerforecasting-from-numerical-weather-prediction-1902.01453"/></url>
<url><loc>https://scifaro.com/en/abs/what-is-the-dimension-of-your-binary-data-1902.01480</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-is-the-dimension-of-your-binary-data-1902.01480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-is-the-dimension-of-your-binary-data-1902.01480"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrapped-coordinate-search-for-multidimensional-scaling-1902.01482</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrapped-coordinate-search-for-multidimensional-scaling-1902.01482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrapped-coordinate-search-for-multidimensional-scaling-1902.01482"/></url>
<url><loc>https://scifaro.com/en/abs/confusion-matrices-and-rough-set-data-analysis-1902.01487</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confusion-matrices-and-rough-set-data-analysis-1902.01487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confusion-matrices-and-rough-set-data-analysis-1902.01487"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-free-online-convex-optimization-with-sub-exponential-noise-1902.01500</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-free-online-convex-optimization-with-sub-exponential-noise-1902.01500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-free-online-convex-optimization-with-sub-exponential-noise-1902.01500"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-prescribe-interventions-for-tuberculosis-patients-using-digital-adherence-data-1902.01506</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-prescribe-interventions-for-tuberculosis-patients-using-digital-adherence-data-1902.01506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-prescribe-interventions-for-tuberculosis-patients-using-digital-adherence-data-1902.01506"/></url>
<url><loc>https://scifaro.com/en/abs/perturbative-gan-gan-with-perturbation-layers-1902.01514</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perturbative-gan-gan-with-perturbation-layers-1902.01514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perturbative-gan-gan-with-perturbation-layers-1902.01514"/></url>
<url><loc>https://scifaro.com/en/abs/relevance-factor-vae-learning-and-identifying-disentangled-factors-1902.01568</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relevance-factor-vae-learning-and-identifying-disentangled-factors-1902.01568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relevance-factor-vae-learning-and-identifying-disentangled-factors-1902.01568"/></url>
<url><loc>https://scifaro.com/en/abs/robust-supervised-classification-and-feature-selection-using-a-primal-dual-method-1902.01600</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-supervised-classification-and-feature-selection-using-a-primal-dual-method-1902.01600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-supervised-classification-and-feature-selection-using-a-primal-dual-method-1902.01600"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-description-length-as-an-objective-function-for-non-negative-matrix-factorization-1902.01632</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-description-length-as-an-objective-function-for-non-negative-matrix-factorization-1902.01632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-description-length-as-an-objective-function-for-non-negative-matrix-factorization-1902.01632"/></url>
<url><loc>https://scifaro.com/en/abs/a-universal-algorithm-for-variational-inequalities-adaptive-to-smoothness-and-noise-1902.01637</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-universal-algorithm-for-variational-inequalities-adaptive-to-smoothness-and-noise-1902.01637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-universal-algorithm-for-variational-inequalities-adaptive-to-smoothness-and-noise-1902.01637"/></url>
<url><loc>https://scifaro.com/en/abs/early-recognition-of-sepsis-with-gaussian-process-temporal-convolutional-networks-and-dynamic-time-warping-1902.01659</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-recognition-of-sepsis-with-gaussian-process-temporal-convolutional-networks-and-dynamic-time-warping-1902.01659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-recognition-of-sepsis-with-gaussian-process-temporal-convolutional-networks-and-dynamic-time-warping-1902.01659"/></url>
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<url><loc>https://scifaro.com/en/abs/optimal-nonparametric-inference-via-deep-neural-network-1902.01687</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-nonparametric-inference-via-deep-neural-network-1902.01687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-nonparametric-inference-via-deep-neural-network-1902.01687"/></url>
<url><loc>https://scifaro.com/en/abs/total-stochastic-gradient-algorithms-and-applications-in-reinforcement-learning-1902.01722</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/total-stochastic-gradient-algorithms-and-applications-in-reinforcement-learning-1902.01722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/total-stochastic-gradient-algorithms-and-applications-in-reinforcement-learning-1902.01722"/></url>
<url><loc>https://scifaro.com/en/abs/robust-regression-via-online-feature-selection-under-adversarial-data-corruption-1902.01729</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-regression-via-online-feature-selection-under-adversarial-data-corruption-1902.01729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-regression-via-online-feature-selection-under-adversarial-data-corruption-1902.01729"/></url>
<url><loc>https://scifaro.com/en/abs/deep-tree-transductions-a-short-survey-1902.01737</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-tree-transductions-a-short-survey-1902.01737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-tree-transductions-a-short-survey-1902.01737"/></url>
<url><loc>https://scifaro.com/en/abs/metric-learning-on-manifolds-1902.01738</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-learning-on-manifolds-1902.01738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-learning-on-manifolds-1902.01738"/></url>
<url><loc>https://scifaro.com/en/abs/learning-decision-trees-recurrently-through-communication-1902.01780</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-decision-trees-recurrently-through-communication-1902.01780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-decision-trees-recurrently-through-communication-1902.01780"/></url>
<url><loc>https://scifaro.com/en/abs/homogeneous-linear-inequality-constraints-for-neural-network-activations-1902.01785</loc><lastmod>2020-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/homogeneous-linear-inequality-constraints-for-neural-network-activations-1902.01785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/homogeneous-linear-inequality-constraints-for-neural-network-activations-1902.01785"/></url>
<url><loc>https://scifaro.com/en/abs/deep-convolutional-neural-network-for-automated-detection-of-mind-wandering-using-eeg-signals-1902.01799</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-convolutional-neural-network-for-automated-detection-of-mind-wandering-using-eeg-signals-1902.01799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-convolutional-neural-network-for-automated-detection-of-mind-wandering-using-eeg-signals-1902.01799"/></url>
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<url><loc>https://scifaro.com/en/abs/distribution-dependent-analysis-of-gibbs-erm-principle-1902.01846</loc><lastmod>2019-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-dependent-analysis-of-gibbs-erm-principle-1902.01846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-dependent-analysis-of-gibbs-erm-principle-1902.01846"/></url>
<url><loc>https://scifaro.com/en/abs/stabilizing-inputs-to-approximated-nonlinear-functions-for-inference-with-homomorphic-encryption-in-deep-neural-networks-1902.01870</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilizing-inputs-to-approximated-nonlinear-functions-for-inference-with-homomorphic-encryption-in-deep-neural-networks-1902.01870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilizing-inputs-to-approximated-nonlinear-functions-for-inference-with-homomorphic-encryption-in-deep-neural-networks-1902.01870"/></url>
<url><loc>https://scifaro.com/en/abs/disguised-nets-image-disguising-for-privacy-preserving-outsourced-deep-learning-1902.01878</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disguised-nets-image-disguising-for-privacy-preserving-outsourced-deep-learning-1902.01878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disguised-nets-image-disguising-for-privacy-preserving-outsourced-deep-learning-1902.01878"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-sparse-support-vector-machines-1902.01879</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-sparse-support-vector-machines-1902.01879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-sparse-support-vector-machines-1902.01879"/></url>
<url><loc>https://scifaro.com/en/abs/separating-value-functions-across-time-scales-1902.01883</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/separating-value-functions-across-time-scales-1902.01883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/separating-value-functions-across-time-scales-1902.01883"/></url>
<url><loc>https://scifaro.com/en/abs/tzk-flow-based-conditional-generative-model-1902.01893</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tzk-flow-based-conditional-generative-model-1902.01893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tzk-flow-based-conditional-generative-model-1902.01893"/></url>
<url><loc>https://scifaro.com/en/abs/exponentiated-gradient-meets-gradient-descent-1902.01903</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponentiated-gradient-meets-gradient-descent-1902.01903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponentiated-gradient-meets-gradient-descent-1902.01903"/></url>
<url><loc>https://scifaro.com/en/abs/same-same-but-different-recovering-neural-network-quantization-error-through-weight-factorization-1902.01917</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/same-same-but-different-recovering-neural-network-quantization-error-through-weight-factorization-1902.01917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/same-same-but-different-recovering-neural-network-quantization-error-through-weight-factorization-1902.01917"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-high-dimensional-binary-features-1902.01923</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-high-dimensional-binary-features-1902.01923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-high-dimensional-binary-features-1902.01923"/></url>
<url><loc>https://scifaro.com/en/abs/meta-amortized-variational-inference-and-learning-1902.01950</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-amortized-variational-inference-and-learning-1902.01950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-amortized-variational-inference-and-learning-1902.01950"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-theory-for-structured-prediction-with-smooth-convex-surrogates-1902.01958</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-theory-for-structured-prediction-with-smooth-convex-surrogates-1902.01958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-theory-for-structured-prediction-with-smooth-convex-surrogates-1902.01958"/></url>
<url><loc>https://scifaro.com/en/abs/exchangeable-generative-models-with-flow-scans-1902.01967</loc><lastmod>2019-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exchangeable-generative-models-with-flow-scans-1902.01967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exchangeable-generative-models-with-flow-scans-1902.01967"/></url>
<url><loc>https://scifaro.com/en/abs/an-automated-spectral-clustering-for-multi-scale-data-1902.01990</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-automated-spectral-clustering-for-multi-scale-data-1902.01990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-automated-spectral-clustering-for-multi-scale-data-1902.01990"/></url>
<url><loc>https://scifaro.com/en/abs/neural-fictitious-self-play-on-elf-mini-rts-1902.02004</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-fictitious-self-play-on-elf-mini-rts-1902.02004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-fictitious-self-play-on-elf-mini-rts-1902.02004"/></url>
<url><loc>https://scifaro.com/en/abs/robust-matrix-completion-state-estimation-in-distribution-systems-1902.02009</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-matrix-completion-state-estimation-in-distribution-systems-1902.02009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-matrix-completion-state-estimation-in-distribution-systems-1902.02009"/></url>
<url><loc>https://scifaro.com/en/abs/fooling-neural-network-interpretations-via-adversarial-model-manipulation-1902.02041</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fooling-neural-network-interpretations-via-adversarial-model-manipulation-1902.02041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fooling-neural-network-interpretations-via-adversarial-model-manipulation-1902.02041"/></url>
<url><loc>https://scifaro.com/en/abs/on-admm-in-deep-learning-convergence-and-saturation-avoidance-1902.02060</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-admm-in-deep-learning-convergence-and-saturation-avoidance-1902.02060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-admm-in-deep-learning-convergence-and-saturation-avoidance-1902.02060"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-based-regularization-in-generative-modeling-1902.02068</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-based-regularization-in-generative-modeling-1902.02068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-based-regularization-in-generative-modeling-1902.02068"/></url>
<url><loc>https://scifaro.com/en/abs/common-mode-patterns-for-supervised-tensor-subspace-learning-1902.02075</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/common-mode-patterns-for-supervised-tensor-subspace-learning-1902.02075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/common-mode-patterns-for-supervised-tensor-subspace-learning-1902.02075"/></url>
<url><loc>https://scifaro.com/en/abs/latent-space-cartography-generalised-metric-inspired-measures-and-measure-based-transformations-for-generative-models-1902.02113</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-space-cartography-generalised-metric-inspired-measures-and-measure-based-transformations-for-generative-models-1902.02113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-space-cartography-generalised-metric-inspired-measures-and-measure-based-transformations-for-generative-models-1902.02113"/></url>
<url><loc>https://scifaro.com/en/abs/mol-cyclegan-a-generative-model-for-molecular-optimization-1902.02119</loc><lastmod>2020-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mol-cyclegan-a-generative-model-for-molecular-optimization-1902.02119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mol-cyclegan-a-generative-model-for-molecular-optimization-1902.02119"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-from-sound-representations-for-anger-detection-in-speech-1902.02120</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-from-sound-representations-for-anger-detection-in-speech-1902.02120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-from-sound-representations-for-anger-detection-in-speech-1902.02120"/></url>
<url><loc>https://scifaro.com/en/abs/distilling-policy-distillation-1902.02186</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilling-policy-distillation-1902.02186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilling-policy-distillation-1902.02186"/></url>
<url><loc>https://scifaro.com/en/abs/robust-one-class-kernel-spectral-regression-1902.02208</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-one-class-kernel-spectral-regression-1902.02208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-one-class-kernel-spectral-regression-1902.02208"/></url>
<url><loc>https://scifaro.com/en/abs/finite-sample-analysis-for-sarsa-with-linear-function-approximation-1902.02234</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-sample-analysis-for-sarsa-with-linear-function-approximation-1902.02234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-sample-analysis-for-sarsa-with-linear-function-approximation-1902.02234"/></url>
<url><loc>https://scifaro.com/en/abs/equal-opportunity-in-online-classification-with-partial-feedback-1902.02242</loc><lastmod>2020-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equal-opportunity-in-online-classification-with-partial-feedback-1902.02242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equal-opportunity-in-online-classification-with-partial-feedback-1902.02242"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-multiclass-linear-classification-efficient-algorithms-for-the-separable-case-1902.02244</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-multiclass-linear-classification-efficient-algorithms-for-the-separable-case-1902.02244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-multiclass-linear-classification-efficient-algorithms-for-the-separable-case-1902.02244"/></url>
<url><loc>https://scifaro.com/en/abs/generative-image-translation-for-data-augmentation-of-bone-lesion-pathology-1902.02248</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-image-translation-for-data-augmentation-of-bone-lesion-pathology-1902.02248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-image-translation-for-data-augmentation-of-bone-lesion-pathology-1902.02248"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-polyglot-text-to-speech-1902.02263</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-polyglot-text-to-speech-1902.02263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-polyglot-text-to-speech-1902.02263"/></url>
<url><loc>https://scifaro.com/en/abs/deep-csi-learning-for-gait-biometric-sensing-and-recognition-1902.02300</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-csi-learning-for-gait-biometric-sensing-and-recognition-1902.02300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-csi-learning-for-gait-biometric-sensing-and-recognition-1902.02300"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-attributions-a-causal-perspective-1902.02302</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-attributions-a-causal-perspective-1902.02302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-attributions-a-causal-perspective-1902.02302"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-flood-forecasting-using-deep-neural-networks-1902.02308</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-flood-forecasting-using-deep-neural-networks-1902.02308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-flood-forecasting-using-deep-neural-networks-1902.02308"/></url>
<url><loc>https://scifaro.com/en/abs/is-ami-attacks-meet-interpretability-robust-to-adversarial-examples-1902.02322</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-ami-attacks-meet-interpretability-robust-to-adversarial-examples-1902.02322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-ami-attacks-meet-interpretability-robust-to-adversarial-examples-1902.02322"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-by-label-gradient-alignment-1902.02336</loc><lastmod>2019-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-by-label-gradient-alignment-1902.02336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-by-label-gradient-alignment-1902.02336"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-a-layer-in-deep-neural-networks-a-gaussian-process-perspective-1902.02354</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-a-layer-in-deep-neural-networks-a-gaussian-process-perspective-1902.02354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-a-layer-in-deep-neural-networks-a-gaussian-process-perspective-1902.02354"/></url>
<url><loc>https://scifaro.com/en/abs/negative-eigenvalues-of-the-hessian-in-deep-neural-networks-1902.02366</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/negative-eigenvalues-of-the-hessian-in-deep-neural-networks-1902.02366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/negative-eigenvalues-of-the-hessian-in-deep-neural-networks-1902.02366"/></url>
<url><loc>https://scifaro.com/en/abs/centroid-based-deep-metric-learning-for-speaker-recognition-1902.02375</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/centroid-based-deep-metric-learning-for-speaker-recognition-1902.02375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/centroid-based-deep-metric-learning-for-speaker-recognition-1902.02375"/></url>
<url><loc>https://scifaro.com/en/abs/diffeqflux-jl-a-julia-library-for-neural-differential-equations-1902.02376</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffeqflux-jl-a-julia-library-for-neural-differential-equations-1902.02376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffeqflux-jl-a-julia-library-for-neural-differential-equations-1902.02376"/></url>
<url><loc>https://scifaro.com/en/abs/global-explanations-of-neural-networks-mapping-the-landscape-of-predictions-1902.02384</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-explanations-of-neural-networks-mapping-the-landscape-of-predictions-1902.02384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-explanations-of-neural-networks-mapping-the-landscape-of-predictions-1902.02384"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-domain-adaptation-for-stance-detection-1902.02401</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-domain-adaptation-for-stance-detection-1902.02401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-domain-adaptation-for-stance-detection-1902.02401"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-variance-of-unbiased-online-recurrent-optimization-1902.02405</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-variance-of-unbiased-online-recurrent-optimization-1902.02405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-variance-of-unbiased-online-recurrent-optimization-1902.02405"/></url>
<url><loc>https://scifaro.com/en/abs/fast-hyperparameter-tuning-using-bayesian-optimization-with-directional-derivatives-1902.02416</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-hyperparameter-tuning-using-bayesian-optimization-with-directional-derivatives-1902.02416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-hyperparameter-tuning-using-bayesian-optimization-with-directional-derivatives-1902.02416"/></url>
<url><loc>https://scifaro.com/en/abs/principal-model-analysis-based-on-partial-least-squares-1902.02422</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principal-model-analysis-based-on-partial-least-squares-1902.02422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principal-model-analysis-based-on-partial-least-squares-1902.02422"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-intelligence-for-prosthetics-challenge-solutions-1902.02441</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-intelligence-for-prosthetics-challenge-solutions-1902.02441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-intelligence-for-prosthetics-challenge-solutions-1902.02441"/></url>
<url><loc>https://scifaro.com/en/abs/effectiveness-of-lstms-in-predicting-congestive-heart-failure-onset-1902.02443</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effectiveness-of-lstms-in-predicting-congestive-heart-failure-onset-1902.02443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effectiveness-of-lstms-in-predicting-congestive-heart-failure-onset-1902.02443"/></url>
<url><loc>https://scifaro.com/en/abs/empirically-accelerating-scaled-gradient-projection-using-deep-neural-network-for-inverse-problems-in-image-processing-1902.02449</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirically-accelerating-scaled-gradient-projection-using-deep-neural-network-for-inverse-problems-in-image-processing-1902.02449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirically-accelerating-scaled-gradient-projection-using-deep-neural-network-for-inverse-problems-in-image-processing-1902.02449"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-baseline-for-bayesian-uncertainty-in-deep-learning-1902.02476</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-baseline-for-bayesian-uncertainty-in-deep-learning-1902.02476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-baseline-for-bayesian-uncertainty-in-deep-learning-1902.02476"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-mixture-models-with-learnable-deep-priors-for-perceptual-grouping-1902.02502</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-mixture-models-with-learnable-deep-priors-for-perceptual-grouping-1902.02502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-mixture-models-with-learnable-deep-priors-for-perceptual-grouping-1902.02502"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-posterior-learning-few-shot-learning-with-a-surprise-based-memory-module-1902.02527</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-posterior-learning-few-shot-learning-with-a-surprise-based-memory-module-1902.02527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-posterior-learning-few-shot-learning-with-a-surprise-based-memory-module-1902.02527"/></url>
<url><loc>https://scifaro.com/en/abs/online-clustering-by-penalized-weighted-gmm-1902.02544</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-clustering-by-penalized-weighted-gmm-1902.02544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-clustering-by-penalized-weighted-gmm-1902.02544"/></url>
<url><loc>https://scifaro.com/en/abs/bounds-for-the-vc-dimension-of-1nn-prototype-sets-1902.02660</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounds-for-the-vc-dimension-of-1nn-prototype-sets-1902.02660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounds-for-the-vc-dimension-of-1nn-prototype-sets-1902.02660"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-reinforcement-learning-via-deep-sparse-sampling-1902.02661</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-reinforcement-learning-via-deep-sparse-sampling-1902.02661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-reinforcement-learning-via-deep-sparse-sampling-1902.02661"/></url>
<url><loc>https://scifaro.com/en/abs/bert-and-pals-projected-attention-layers-for-efficient-adaptation-in-multi-task-learning-1902.02671</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bert-and-pals-projected-attention-layers-for-efficient-adaptation-in-multi-task-learning-1902.02671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bert-and-pals-projected-attention-layers-for-efficient-adaptation-in-multi-task-learning-1902.02671"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-for-nilm-based-on-operational-state-change-classification-1902.02675</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-for-nilm-based-on-operational-state-change-classification-1902.02675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-for-nilm-based-on-operational-state-change-classification-1902.02675"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-regression-and-adaptive-feature-generation-for-the-discovery-of-dynamical-systems-1902.02719</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-regression-and-adaptive-feature-generation-for-the-discovery-of-dynamical-systems-1902.02719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-regression-and-adaptive-feature-generation-for-the-discovery-of-dynamical-systems-1902.02719"/></url>
<url><loc>https://scifaro.com/en/abs/variational-recurrent-neural-networks-for-graph-classification-1902.02721</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-recurrent-neural-networks-for-graph-classification-1902.02721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-recurrent-neural-networks-for-graph-classification-1902.02721"/></url>
<url><loc>https://scifaro.com/en/abs/metaoptimization-on-a-distributed-system-for-deep-reinforcement-learning-1902.02725</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metaoptimization-on-a-distributed-system-for-deep-reinforcement-learning-1902.02725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metaoptimization-on-a-distributed-system-for-deep-reinforcement-learning-1902.02725"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-models-with-deep-and-invertible-features-1902.02767</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-models-with-deep-and-invertible-features-1902.02767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-models-with-deep-and-invertible-features-1902.02767"/></url>
<url><loc>https://scifaro.com/en/abs/klucb-approach-to-copeland-bandits-1902.02778</loc><lastmod>2019-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/klucb-approach-to-copeland-bandits-1902.02778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/klucb-approach-to-copeland-bandits-1902.02778"/></url>
<url><loc>https://scifaro.com/en/abs/ml-health-fitness-tracking-for-production-models-1902.02808</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ml-health-fitness-tracking-for-production-models-1902.02808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ml-health-fitness-tracking-for-production-models-1902.02808"/></url>
<url><loc>https://scifaro.com/en/abs/compatible-natural-gradient-policy-search-1902.02823</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compatible-natural-gradient-policy-search-1902.02823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compatible-natural-gradient-policy-search-1902.02823"/></url>
<url><loc>https://scifaro.com/en/abs/crop-yield-prediction-using-deep-neural-networks-1902.02860</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crop-yield-prediction-using-deep-neural-networks-1902.02860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crop-yield-prediction-using-deep-neural-networks-1902.02860"/></url>
<url><loc>https://scifaro.com/en/abs/mean-field-limit-of-the-learning-dynamics-of-multilayer-neural-networks-1902.02880</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-field-limit-of-the-learning-dynamics-of-multilayer-neural-networks-1902.02880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-field-limit-of-the-learning-dynamics-of-multilayer-neural-networks-1902.02880"/></url>
<url><loc>https://scifaro.com/en/abs/combining-learning-rate-decay-and-weight-decay-with-complexity-gradient-descent-part-i-1902.02881</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-learning-rate-decay-and-weight-decay-with-complexity-gradient-descent-part-i-1902.02881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-learning-rate-decay-and-weight-decay-with-complexity-gradient-descent-part-i-1902.02881"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-the-discount-factor-in-reinforcement-learning-a-decision-theoretic-approach-1902.02893</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-the-discount-factor-in-reinforcement-learning-a-decision-theoretic-approach-1902.02893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-the-discount-factor-in-reinforcement-learning-a-decision-theoretic-approach-1902.02893"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-heterogeneity-in-mode-switching-behavior-under-a-mobility-on-demand-transit-system-an-interpretable-machine-learning-approach-1902.02904</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-heterogeneity-in-mode-switching-behavior-under-a-mobility-on-demand-transit-system-an-interpretable-machine-learning-approach-1902.02904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-heterogeneity-in-mode-switching-behavior-under-a-mobility-on-demand-transit-system-an-interpretable-machine-learning-approach-1902.02904"/></url>
<url><loc>https://scifaro.com/en/abs/source-traces-for-temporal-difference-learning-1902.02907</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/source-traces-for-temporal-difference-learning-1902.02907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/source-traces-for-temporal-difference-learning-1902.02907"/></url>
<url><loc>https://scifaro.com/en/abs/certified-adversarial-robustness-via-randomized-smoothing-1902.02918</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certified-adversarial-robustness-via-randomized-smoothing-1902.02918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certified-adversarial-robustness-via-randomized-smoothing-1902.02918"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-for-target-dependent-sentiment-classification-1902.02930</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-for-target-dependent-sentiment-classification-1902.02930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-for-target-dependent-sentiment-classification-1902.02930"/></url>
<url><loc>https://scifaro.com/en/abs/mode-collapse-and-regularity-of-optimal-transportation-maps-1902.02934</loc><lastmod>2019-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mode-collapse-and-regularity-of-optimal-transportation-maps-1902.02934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mode-collapse-and-regularity-of-optimal-transportation-maps-1902.02934"/></url>
<url><loc>https://scifaro.com/en/abs/generating-the-support-with-extreme-value-losses-1902.02940</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-the-support-with-extreme-value-losses-1902.02940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-the-support-with-extreme-value-losses-1902.02940"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-one-pixel-attack-propagation-maps-and-locality-analysis-1902.02947</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-one-pixel-attack-propagation-maps-and-locality-analysis-1902.02947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-one-pixel-attack-propagation-maps-and-locality-analysis-1902.02947"/></url>
<url><loc>https://scifaro.com/en/abs/eilearn-learning-incrementally-using-previous-knowledge-obtained-from-an-ensemble-of-classifiers-1902.02948</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eilearn-learning-incrementally-using-previous-knowledge-obtained-from-an-ensemble-of-classifiers-1902.02948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eilearn-learning-incrementally-using-previous-knowledge-obtained-from-an-ensemble-of-classifiers-1902.02948"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-physics-informed-graph-networks-1902.02950</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-physics-informed-graph-networks-1902.02950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-physics-informed-graph-networks-1902.02950"/></url>
<url><loc>https://scifaro.com/en/abs/correlated-bandits-or-how-to-minimize-mean-squared-error-online-1902.02953</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlated-bandits-or-how-to-minimize-mean-squared-error-online-1902.02953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlated-bandits-or-how-to-minimize-mean-squared-error-online-1902.02953"/></url>
<url><loc>https://scifaro.com/en/abs/binarized-knowledge-graph-embeddings-1902.02970</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binarized-knowledge-graph-embeddings-1902.02970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binarized-knowledge-graph-embeddings-1902.02970"/></url>
<url><loc>https://scifaro.com/en/abs/fair-decisions-despite-imperfect-predictions-1902.02979</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-decisions-despite-imperfect-predictions-1902.02979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-decisions-despite-imperfect-predictions-1902.02979"/></url>
<url><loc>https://scifaro.com/en/abs/covariance-and-correlation-kernels-on-a-graph-in-the-generalized-bag-of-paths-formalism-1902.03002</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariance-and-correlation-kernels-on-a-graph-in-the-generalized-bag-of-paths-formalism-1902.03002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariance-and-correlation-kernels-on-a-graph-in-the-generalized-bag-of-paths-formalism-1902.03002"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-principal-component-analysis-1902.03035</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-principal-component-analysis-1902.03035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-principal-component-analysis-1902.03035"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-deep-learning-framework-for-end-to-end-prediction-of-emotion-from-heartbeat-1902.03043</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-deep-learning-framework-for-end-to-end-prediction-of-emotion-from-heartbeat-1902.03043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-deep-learning-framework-for-end-to-end-prediction-of-emotion-from-heartbeat-1902.03043"/></url>
<url><loc>https://scifaro.com/en/abs/partial-label-learning-with-self-guided-retraining-1902.03045</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-label-learning-with-self-guided-retraining-1902.03045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-label-learning-with-self-guided-retraining-1902.03045"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-least-squares-fast-rates-for-regularized-empirical-risk-minimization-through-self-concordance-1902.03046</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-least-squares-fast-rates-for-regularized-empirical-risk-minimization-through-self-concordance-1902.03046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-least-squares-fast-rates-for-regularized-empirical-risk-minimization-through-self-concordance-1902.03046"/></url>
<url><loc>https://scifaro.com/en/abs/collaboration-based-multi-label-learning-1902.03047</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaboration-based-multi-label-learning-1902.03047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaboration-based-multi-label-learning-1902.03047"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-graph-fact-prediction-via-knowledge-enriched-tensor-factorization-1902.03077</loc><lastmod>2022-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-graph-fact-prediction-via-knowledge-enriched-tensor-factorization-1902.03077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-graph-fact-prediction-via-knowledge-enriched-tensor-factorization-1902.03077"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-from-hierarchical-critics-1902.03079</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-from-hierarchical-critics-1902.03079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-from-hierarchical-critics-1902.03079"/></url>
<url><loc>https://scifaro.com/en/abs/size-independent-neural-transfer-for-rddl-planning-1902.03081</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/size-independent-neural-transfer-for-rddl-planning-1902.03081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/size-independent-neural-transfer-for-rddl-planning-1902.03081"/></url>
<url><loc>https://scifaro.com/en/abs/using-background-knowledge-to-rank-itemsets-1902.03102</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-background-knowledge-to-rank-itemsets-1902.03102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-background-knowledge-to-rank-itemsets-1902.03102"/></url>
<url><loc>https://scifaro.com/en/abs/bounded-fuzzy-possibilistic-method-1902.03127</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounded-fuzzy-possibilistic-method-1902.03127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounded-fuzzy-possibilistic-method-1902.03127"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-reinforcement-learning-with-linear-function-approximation-1902.03149</loc><lastmod>2019-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-reinforcement-learning-with-linear-function-approximation-1902.03149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-reinforcement-learning-with-linear-function-approximation-1902.03149"/></url>
<url><loc>https://scifaro.com/en/abs/discretization-based-solutions-for-secure-machine-learning-against-adversarial-attacks-1902.03151</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discretization-based-solutions-for-secure-machine-learning-against-adversarial-attacks-1902.03151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discretization-based-solutions-for-secure-machine-learning-against-adversarial-attacks-1902.03151"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-and-safe-bayesian-optimization-in-high-dimensions-via-one-dimensional-subspaces-1902.03229</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-and-safe-bayesian-optimization-in-high-dimensions-via-one-dimensional-subspaces-1902.03229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-and-safe-bayesian-optimization-in-high-dimensions-via-one-dimensional-subspaces-1902.03229"/></url>
<url><loc>https://scifaro.com/en/abs/land-use-classification-using-multi-neighborhood-lbps-1902.03240</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/land-use-classification-using-multi-neighborhood-lbps-1902.03240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/land-use-classification-using-multi-neighborhood-lbps-1902.03240"/></url>
<url><loc>https://scifaro.com/en/abs/fsnet-compression-of-deep-convolutional-neural-networks-by-filter-summary-1902.03264</loc><lastmod>2020-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fsnet-compression-of-deep-convolutional-neural-networks-by-filter-summary-1902.03264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fsnet-compression-of-deep-convolutional-neural-networks-by-filter-summary-1902.03264"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-context-effects-from-raw-choice-data-1902.03266</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-context-effects-from-raw-choice-data-1902.03266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-context-effects-from-raw-choice-data-1902.03266"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-and-efficient-architecture-for-trainable-activation-functions-1902.03306</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-and-efficient-architecture-for-trainable-activation-functions-1902.03306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-and-efficient-architecture-for-trainable-activation-functions-1902.03306"/></url>
<url><loc>https://scifaro.com/en/abs/meta-curvature-1902.03356</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-curvature-1902.03356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-curvature-1902.03356"/></url>
<url><loc>https://scifaro.com/en/abs/improved-knowledge-distillation-via-teacher-assistant-1902.03393</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-knowledge-distillation-via-teacher-assistant-1902.03393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-knowledge-distillation-via-teacher-assistant-1902.03393"/></url>
<url><loc>https://scifaro.com/en/abs/venn-gan-discovering-commonalities-and-particularities-of-multiple-distributions-1902.03444</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/venn-gan-discovering-commonalities-and-particularities-of-multiple-distributions-1902.03444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/venn-gan-discovering-commonalities-and-particularities-of-multiple-distributions-1902.03444"/></url>
<url><loc>https://scifaro.com/en/abs/distance-metric-learning-based-on-structural-neighborhoods-for-dimensionality-reduction-and-classification-performance-improvement-1902.03453</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-metric-learning-based-on-structural-neighborhoods-for-dimensionality-reduction-and-classification-performance-improvement-1902.03453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-metric-learning-based-on-structural-neighborhoods-for-dimensionality-reduction-and-classification-performance-improvement-1902.03453"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-recurrent-neural-networks-1902.03455</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-recurrent-neural-networks-1902.03455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-recurrent-neural-networks-1902.03455"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-multi-task-deep-neural-network-architecture-for-end-to-end-driving-1902.03466</loc><lastmod>2020-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-multi-task-deep-neural-network-architecture-for-end-to-end-driving-1902.03466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-multi-task-deep-neural-network-architecture-for-end-to-end-driving-1902.03466"/></url>
<url><loc>https://scifaro.com/en/abs/synthetic-data-generators-sequential-and-private-1902.03468</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthetic-data-generators-sequential-and-private-1902.03468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthetic-data-generators-sequential-and-private-1902.03468"/></url>
<url><loc>https://scifaro.com/en/abs/pure-exploration-with-multiple-correct-answers-1902.03475</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pure-exploration-with-multiple-correct-answers-1902.03475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pure-exploration-with-multiple-correct-answers-1902.03475"/></url>
<url><loc>https://scifaro.com/en/abs/space-lower-bounds-for-linear-prediction-in-the-streaming-model-1902.03498</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/space-lower-bounds-for-linear-prediction-in-the-streaming-model-1902.03498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/space-lower-bounds-for-linear-prediction-in-the-streaming-model-1902.03498"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-the-local-interpretability-of-machine-learning-models-1902.03501</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-the-local-interpretability-of-machine-learning-models-1902.03501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-the-local-interpretability-of-machine-learning-models-1902.03501"/></url>
<url><loc>https://scifaro.com/en/abs/multi-domain-translation-by-learning-uncoupled-autoencoders-1902.03515</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-domain-translation-by-learning-uncoupled-autoencoders-1902.03515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-domain-translation-by-learning-uncoupled-autoencoders-1902.03515"/></url>
<url><loc>https://scifaro.com/en/abs/biadversarial-variational-autoencoder-1902.03517</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biadversarial-variational-autoencoder-1902.03517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biadversarial-variational-autoencoder-1902.03517"/></url>
<url><loc>https://scifaro.com/en/abs/model-compression-with-adversarial-robustness-a-unified-optimization-framework-1902.03538</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-compression-with-adversarial-robustness-a-unified-optimization-framework-1902.03538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-compression-with-adversarial-robustness-a-unified-optimization-framework-1902.03538"/></url>
<url><loc>https://scifaro.com/en/abs/task2vec-task-embedding-for-meta-learning-1902.03545</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task2vec-task-embedding-for-meta-learning-1902.03545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task2vec-task-embedding-for-meta-learning-1902.03545"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-forest-a-concept-drift-aware-data-stream-mining-algorithm-1902.03609</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-forest-a-concept-drift-aware-data-stream-mining-algorithm-1902.03609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-forest-a-concept-drift-aware-data-stream-mining-algorithm-1902.03609"/></url>
<url><loc>https://scifaro.com/en/abs/elki-a-large-open-source-library-for-data-analysis-elki-release-0-7-5-heidelberg-1902.03616</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elki-a-large-open-source-library-for-data-analysis-elki-release-0-7-5-heidelberg-1902.03616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elki-a-large-open-source-library-for-data-analysis-elki-release-0-7-5-heidelberg-1902.03616"/></url>
<url><loc>https://scifaro.com/en/abs/diverse-exploration-via-conjugate-policies-for-policy-gradient-methods-1902.03633</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diverse-exploration-via-conjugate-policies-for-policy-gradient-methods-1902.03633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diverse-exploration-via-conjugate-policies-for-policy-gradient-methods-1902.03633"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithm-for-approximating-continuous-functions-on-compact-subsets-with-a-neural-network-with-one-hidden-layer-1902.03638</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithm-for-approximating-continuous-functions-on-compact-subsets-with-a-neural-network-with-one-hidden-layer-1902.03638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithm-for-approximating-continuous-functions-on-compact-subsets-with-a-neural-network-with-one-hidden-layer-1902.03638"/></url>
<url><loc>https://scifaro.com/en/abs/q-p-wasserstein-gans-comparing-ground-metrics-for-wasserstein-gans-1902.03642</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/q-p-wasserstein-gans-comparing-ground-metrics-for-wasserstein-gans-1902.03642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/q-p-wasserstein-gans-comparing-ground-metrics-for-wasserstein-gans-1902.03642"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-least-trimmed-squares-for-mixed-linear-regression-1902.03653</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-least-trimmed-squares-for-mixed-linear-regression-1902.03653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-least-trimmed-squares-for-mixed-linear-regression-1902.03653"/></url>
<url><loc>https://scifaro.com/en/abs/a-bandit-framework-for-optimal-selection-of-reinforcement-learning-agents-1902.03657</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bandit-framework-for-optimal-selection-of-reinforcement-learning-agents-1902.03657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bandit-framework-for-optimal-selection-of-reinforcement-learning-agents-1902.03657"/></url>
<url><loc>https://scifaro.com/en/abs/differential-similarity-in-higher-dimensional-spaces-theory-and-applications-1902.03667</loc><lastmod>2024-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-similarity-in-higher-dimensional-spaces-theory-and-applications-1902.03667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-similarity-in-higher-dimensional-spaces-theory-and-applications-1902.03667"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-noisy-labels-by-regularized-estimation-of-annotator-confusion-1902.03680</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-noisy-labels-by-regularized-estimation-of-annotator-confusion-1902.03680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-noisy-labels-by-regularized-estimation-of-annotator-confusion-1902.03680"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-through-simulation-integrating-simulated-and-real-data-into-deep-reinforcement-learning-for-vision-based-autonomous-flight-1902.03701</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-through-simulation-integrating-simulated-and-real-data-into-deep-reinforcement-learning-for-vision-based-autonomous-flight-1902.03701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-through-simulation-integrating-simulated-and-real-data-into-deep-reinforcement-learning-for-vision-based-autonomous-flight-1902.03701"/></url>
<url><loc>https://scifaro.com/en/abs/truncated-gaussian-mixture-variational-autoencoder-1902.03717</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truncated-gaussian-mixture-variational-autoencoder-1902.03717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truncated-gaussian-mixture-variational-autoencoder-1902.03717"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-optimization-assisted-gaussian-variational-approximation-1902.03718</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-optimization-assisted-gaussian-variational-approximation-1902.03718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-optimization-assisted-gaussian-variational-approximation-1902.03718"/></url>
<url><loc>https://scifaro.com/en/abs/error-analysis-on-graph-laplacian-regularized-estimator-1902.03720</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-analysis-on-graph-laplacian-regularized-estimator-1902.03720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-analysis-on-graph-laplacian-regularized-estimator-1902.03720"/></url>
<url><loc>https://scifaro.com/en/abs/fast-evaluation-of-low-thrust-transfers-via-deep-neural-networks-1902.03738</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-evaluation-of-low-thrust-transfers-via-deep-neural-networks-1902.03738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-evaluation-of-low-thrust-transfers-via-deep-neural-networks-1902.03738"/></url>
<url><loc>https://scifaro.com/en/abs/harnessing-low-fidelity-data-to-accelerate-bayesian-optimization-via-posterior-regularization-1902.03740</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harnessing-low-fidelity-data-to-accelerate-bayesian-optimization-via-posterior-regularization-1902.03740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harnessing-low-fidelity-data-to-accelerate-bayesian-optimization-via-posterior-regularization-1902.03740"/></url>
<url><loc>https://scifaro.com/en/abs/path-capsule-networks-1902.03760</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/path-capsule-networks-1902.03760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/path-capsule-networks-1902.03760"/></url>
<url><loc>https://scifaro.com/en/abs/latent-space-reinforcement-learning-for-steering-angle-prediction-1902.03765</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-space-reinforcement-learning-for-steering-angle-prediction-1902.03765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-space-reinforcement-learning-for-steering-angle-prediction-1902.03765"/></url>
<url><loc>https://scifaro.com/en/abs/semantic-label-reduction-techniques-for-autonomous-driving-1902.03777</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantic-label-reduction-techniques-for-autonomous-driving-1902.03777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantic-label-reduction-techniques-for-autonomous-driving-1902.03777"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-over-parameterized-deep-networks-by-geometrization-1902.03793</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-over-parameterized-deep-networks-by-geometrization-1902.03793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-over-parameterized-deep-networks-by-geometrization-1902.03793"/></url>
<url><loc>https://scifaro.com/en/abs/an-online-sample-based-method-for-mode-estimation-using-ode-analysis-of-stochastic-approximation-algorithms-1902.03806</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-online-sample-based-method-for-mode-estimation-using-ode-analysis-of-stochastic-approximation-algorithms-1902.03806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-online-sample-based-method-for-mode-estimation-using-ode-analysis-of-stochastic-approximation-algorithms-1902.03806"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-malignant-benign-breast-cancer-a-data-mining-approach-in-healthcare-applications-1902.03825</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-malignant-benign-breast-cancer-a-data-mining-approach-in-healthcare-applications-1902.03825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-malignant-benign-breast-cancer-a-data-mining-approach-in-healthcare-applications-1902.03825"/></url>
<url><loc>https://scifaro.com/en/abs/a-distributed-and-approximated-nearest-neighbors-algorithm-for-an-efficient-large-scale-mean-shift-clustering-1902.03833</loc><lastmod>2022-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributed-and-approximated-nearest-neighbors-algorithm-for-an-efficient-large-scale-mean-shift-clustering-1902.03833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributed-and-approximated-nearest-neighbors-algorithm-for-an-efficient-large-scale-mean-shift-clustering-1902.03833"/></url>
<url><loc>https://scifaro.com/en/abs/global-collaboration-through-local-interaction-in-competitive-learning-1902.03856</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-collaboration-through-local-interaction-in-competitive-learning-1902.03856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-collaboration-through-local-interaction-in-competitive-learning-1902.03856"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-approach-based-on-dimensionality-reduction-for-designing-electromagnetic-nanostructures-1902.03865</loc><lastmod>2020-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-approach-based-on-dimensionality-reduction-for-designing-electromagnetic-nanostructures-1902.03865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-approach-based-on-dimensionality-reduction-for-designing-electromagnetic-nanostructures-1902.03865"/></url>
<url><loc>https://scifaro.com/en/abs/deep-hashing-using-entropy-regularised-product-quantisation-network-1902.03876</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-hashing-using-entropy-regularised-product-quantisation-network-1902.03876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-hashing-using-entropy-regularised-product-quantisation-network-1902.03876"/></url>
<url><loc>https://scifaro.com/en/abs/cyclical-stochastic-gradient-mcmc-for-bayesian-deep-learning-1902.03932</loc><lastmod>2020-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cyclical-stochastic-gradient-mcmc-for-bayesian-deep-learning-1902.03932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cyclical-stochastic-gradient-mcmc-for-bayesian-deep-learning-1902.03932"/></url>
<url><loc>https://scifaro.com/en/abs/deep-node-ranking-for-neuro-symbolic-structural-node-embedding-and-classification-1902.03964</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-node-ranking-for-neuro-symbolic-structural-node-embedding-and-classification-1902.03964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-node-ranking-for-neuro-symbolic-structural-node-embedding-and-classification-1902.03964"/></url>
<url><loc>https://scifaro.com/en/abs/interaction-transformation-evolutionary-algorithm-for-symbolic-regression-1902.03983</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interaction-transformation-evolutionary-algorithm-for-symbolic-regression-1902.03983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interaction-transformation-evolutionary-algorithm-for-symbolic-regression-1902.03983"/></url>
<url><loc>https://scifaro.com/en/abs/improving-generalization-and-stability-of-generative-adversarial-networks-1902.03984</loc><lastmod>2019-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-generalization-and-stability-of-generative-adversarial-networks-1902.03984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-generalization-and-stability-of-generative-adversarial-networks-1902.03984"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-kronecker-sum-approximation-of-real-time-recurrent-learning-1902.03993</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-kronecker-sum-approximation-of-real-time-recurrent-learning-1902.03993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-kronecker-sum-approximation-of-real-time-recurrent-learning-1902.03993"/></url>
<url><loc>https://scifaro.com/en/abs/ktboost-combined-kernel-and-tree-boosting-1902.03999</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ktboost-combined-kernel-and-tree-boosting-1902.03999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ktboost-combined-kernel-and-tree-boosting-1902.03999"/></url>
<url><loc>https://scifaro.com/en/abs/the-starcraft-multi-agent-challenge-1902.04043</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-starcraft-multi-agent-challenge-1902.04043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-starcraft-multi-agent-challenge-1902.04043"/></url>
<url><loc>https://scifaro.com/en/abs/policy-learning-for-fairness-in-ranking-1902.04056</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-learning-for-fairness-in-ranking-1902.04056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-learning-for-fairness-in-ranking-1902.04056"/></url>
<url><loc>https://scifaro.com/en/abs/divergence-based-motivation-for-online-em-and-combining-hidden-variable-models-1902.04107</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/divergence-based-motivation-for-online-em-and-combining-hidden-variable-models-1902.04107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/divergence-based-motivation-for-online-em-and-combining-hidden-variable-models-1902.04107"/></url>
<url><loc>https://scifaro.com/en/abs/wisemove-a-framework-for-safe-deep-reinforcement-learning-for-autonomous-driving-1902.04118</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wisemove-a-framework-for-safe-deep-reinforcement-learning-for-autonomous-driving-1902.04118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wisemove-a-framework-for-safe-deep-reinforcement-learning-for-autonomous-driving-1902.04118"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-inspection-of-utility-scale-solar-power-plants-using-deep-learning-1902.04132</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-inspection-of-utility-scale-solar-power-plants-using-deep-learning-1902.04132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-inspection-of-utility-scale-solar-power-plants-using-deep-learning-1902.04132"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-transfer-learning-for-classification-of-1-diabetic-retinopathy-by-digital-fundus-photography-and-2-diabetic-macular-edema-choroidal-neovascularization-and-drusen-by-optical-coherence-tomography-1902.04151</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-transfer-learning-for-classification-of-1-diabetic-retinopathy-by-digital-fundus-photography-and-2-diabetic-macular-edema-choroidal-neovascularization-and-drusen-by-optical-coherence-tomography-1902.04151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-transfer-learning-for-classification-of-1-diabetic-retinopathy-by-digital-fundus-photography-and-2-diabetic-macular-edema-choroidal-neovascularization-and-drusen-by-optical-coherence-tomography-1902.04151"/></url>
<url><loc>https://scifaro.com/en/abs/domain-constraint-approximation-based-semi-supervision-1902.04177</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-constraint-approximation-based-semi-supervision-1902.04177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-constraint-approximation-based-semi-supervision-1902.04177"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-reinforcement-learning-1902.04178</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-reinforcement-learning-1902.04178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-reinforcement-learning-1902.04178"/></url>
<url><loc>https://scifaro.com/en/abs/performance-dynamics-and-termination-errors-in-reinforcement-learning-a-unifying-perspective-1902.04179</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-dynamics-and-termination-errors-in-reinforcement-learning-a-unifying-perspective-1902.04179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-dynamics-and-termination-errors-in-reinforcement-learning-a-unifying-perspective-1902.04179"/></url>
<url><loc>https://scifaro.com/en/abs/nearest-neighbor-median-shift-clustering-for-binary-data-1902.04181</loc><lastmod>2022-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearest-neighbor-median-shift-clustering-for-binary-data-1902.04181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearest-neighbor-median-shift-clustering-for-binary-data-1902.04181"/></url>
<url><loc>https://scifaro.com/en/abs/ls-tree-model-interpretation-when-the-data-are-linguistic-1902.04187</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ls-tree-model-interpretation-when-the-data-are-linguistic-1902.04187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ls-tree-model-interpretation-when-the-data-are-linguistic-1902.04187"/></url>
<url><loc>https://scifaro.com/en/abs/preferences-implicit-in-the-state-of-the-world-1902.04198</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preferences-implicit-in-the-state-of-the-world-1902.04198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preferences-implicit-in-the-state-of-the-world-1902.04198"/></url>
<url><loc>https://scifaro.com/en/abs/improving-learnability-of-neural-networks-adding-supplementary-axes-to-disentangle-data-representation-1902.04205</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-learnability-of-neural-networks-adding-supplementary-axes-to-disentangle-data-representation-1902.04205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-learnability-of-neural-networks-adding-supplementary-axes-to-disentangle-data-representation-1902.04205"/></url>
<url><loc>https://scifaro.com/en/abs/macow-masked-convolutional-generative-flow-1902.04208</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/macow-masked-convolutional-generative-flow-1902.04208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/macow-masked-convolutional-generative-flow-1902.04208"/></url>
<url><loc>https://scifaro.com/en/abs/vc-classes-are-adversarially-robustly-learnable-but-only-improperly-1902.04217</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vc-classes-are-adversarially-robustly-learnable-but-only-improperly-1902.04217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vc-classes-are-adversarially-robustly-learnable-but-only-improperly-1902.04217"/></url>
<url><loc>https://scifaro.com/en/abs/effective-network-compression-using-simulation-guided-iterative-pruning-1902.04224</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-network-compression-using-simulation-guided-iterative-pruning-1902.04224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-network-compression-using-simulation-guided-iterative-pruning-1902.04224"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-bayesian-optimisation-with-preferences-over-objectives-1902.04228</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-bayesian-optimisation-with-preferences-over-objectives-1902.04228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-bayesian-optimisation-with-preferences-over-objectives-1902.04228"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayes-analysis-of-sentence-representation-1902.04247</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayes-analysis-of-sentence-representation-1902.04247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayes-analysis-of-sentence-representation-1902.04247"/></url>
<url><loc>https://scifaro.com/en/abs/post-data-augmentation-to-improve-deep-pose-estimation-of-extreme-and-wild-motions-1902.04250</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-data-augmentation-to-improve-deep-pose-estimation-of-extreme-and-wild-motions-1902.04250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-data-augmentation-to-improve-deep-pose-estimation-of-extreme-and-wild-motions-1902.04250"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-with-information-relaxation-penalties-1902.04251</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-with-information-relaxation-penalties-1902.04251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-with-information-relaxation-penalties-1902.04251"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-of-selective-prediction-1902.04256</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-of-selective-prediction-1902.04256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-of-selective-prediction-1902.04256"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-from-policy-dependent-human-feedback-1902.04257</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-from-policy-dependent-human-feedback-1902.04257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-from-policy-dependent-human-feedback-1902.04257"/></url>
<url><loc>https://scifaro.com/en/abs/towards-self-supervised-high-level-sensor-fusion-1902.04272</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-self-supervised-high-level-sensor-fusion-1902.04272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-self-supervised-high-level-sensor-fusion-1902.04272"/></url>
<url><loc>https://scifaro.com/en/abs/unpriortized-autoencoder-for-image-generation-1902.04294</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unpriortized-autoencoder-for-image-generation-1902.04294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unpriortized-autoencoder-for-image-generation-1902.04294"/></url>
<url><loc>https://scifaro.com/en/abs/an-in-vehicle-kws-system-with-multi-source-fusion-for-vehicle-applications-1902.04326</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-in-vehicle-kws-system-with-multi-source-fusion-for-vehicle-applications-1902.04326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-in-vehicle-kws-system-with-multi-source-fusion-for-vehicle-applications-1902.04326"/></url>
<url><loc>https://scifaro.com/en/abs/hyperbolic-disk-embeddings-for-directed-acyclic-graphs-1902.04335</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperbolic-disk-embeddings-for-directed-acyclic-graphs-1902.04335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperbolic-disk-embeddings-for-directed-acyclic-graphs-1902.04335"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-mean-field-regularizes-by-limiting-learned-information-1902.04340</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-mean-field-regularizes-by-limiting-learned-information-1902.04340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-mean-field-regularizes-by-limiting-learned-information-1902.04340"/></url>
<url><loc>https://scifaro.com/en/abs/net2vis-a-visual-grammar-for-automatically-generating-publication-tailored-cnn-architecture-visualizations-1902.04394</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/net2vis-a-visual-grammar-for-automatically-generating-publication-tailored-cnn-architecture-visualizations-1902.04394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/net2vis-a-visual-grammar-for-automatically-generating-publication-tailored-cnn-architecture-visualizations-1902.04394"/></url>
<url><loc>https://scifaro.com/en/abs/an-estimation-of-personnel-food-demand-quantity-for-businesses-by-using-artificial-neural-networks-1902.04412</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-estimation-of-personnel-food-demand-quantity-for-businesses-by-using-artificial-neural-networks-1902.04412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-estimation-of-personnel-food-demand-quantity-for-businesses-by-using-artificial-neural-networks-1902.04412"/></url>
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<url><loc>https://scifaro.com/en/abs/binary-stochastic-filtering-a-method-for-neural-network-size-minimization-and-supervised-feature-selection-1902.04510</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-stochastic-filtering-a-method-for-neural-network-size-minimization-and-supervised-feature-selection-1902.04510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-stochastic-filtering-a-method-for-neural-network-size-minimization-and-supervised-feature-selection-1902.04510"/></url>
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<url><loc>https://scifaro.com/en/abs/bayesian-online-prediction-of-change-points-1902.04524</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-online-prediction-of-change-points-1902.04524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-online-prediction-of-change-points-1902.04524"/></url>
<url><loc>https://scifaro.com/en/abs/actrce-augmenting-experience-via-teacher-s-advice-for-multi-goal-reinforcement-learning-1902.04546</loc><lastmod>2019-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/actrce-augmenting-experience-via-teacher-s-advice-for-multi-goal-reinforcement-learning-1902.04546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/actrce-augmenting-experience-via-teacher-s-advice-for-multi-goal-reinforcement-learning-1902.04546"/></url>
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<url><loc>https://scifaro.com/en/abs/contrastive-variational-autoencoder-enhances-salient-features-1902.04601</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-variational-autoencoder-enhances-salient-features-1902.04601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-variational-autoencoder-enhances-salient-features-1902.04601"/></url>
<url><loc>https://scifaro.com/en/abs/gauge-equivariant-convolutional-networks-and-the-icosahedral-cnn-1902.04615</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gauge-equivariant-convolutional-networks-and-the-icosahedral-cnn-1902.04615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gauge-equivariant-convolutional-networks-and-the-icosahedral-cnn-1902.04615"/></url>
<url><loc>https://scifaro.com/en/abs/extreme-tensoring-for-low-memory-preconditioning-1902.04620</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extreme-tensoring-for-low-memory-preconditioning-1902.04620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extreme-tensoring-for-low-memory-preconditioning-1902.04620"/></url>
<url><loc>https://scifaro.com/en/abs/learning-theory-and-support-vector-machines-a-primer-1902.04622</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-theory-and-support-vector-machines-a-primer-1902.04622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-theory-and-support-vector-machines-a-primer-1902.04622"/></url>
<url><loc>https://scifaro.com/en/abs/crowdsourced-pac-learning-under-classification-noise-1902.04629</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crowdsourced-pac-learning-under-classification-noise-1902.04629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crowdsourced-pac-learning-under-classification-noise-1902.04629"/></url>
<url><loc>https://scifaro.com/en/abs/a-tunable-loss-function-for-binary-classification-1902.04639</loc><lastmod>2019-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tunable-loss-function-for-binary-classification-1902.04639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tunable-loss-function-for-binary-classification-1902.04639"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-tensor-completion-for-time-series-causal-inference-1902.04646</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-tensor-completion-for-time-series-causal-inference-1902.04646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-tensor-completion-for-time-series-causal-inference-1902.04646"/></url>
<url><loc>https://scifaro.com/en/abs/towards-moderate-overparameterization-global-convergence-guarantees-for-training-shallow-neural-networks-1902.04674</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-moderate-overparameterization-global-convergence-guarantees-for-training-shallow-neural-networks-1902.04674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-moderate-overparameterization-global-convergence-guarantees-for-training-shallow-neural-networks-1902.04674"/></url>
<url><loc>https://scifaro.com/en/abs/the-complexity-of-making-the-gradient-small-in-stochastic-convex-optimization-1902.04686</loc><lastmod>2019-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-complexity-of-making-the-gradient-small-in-stochastic-convex-optimization-1902.04686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-complexity-of-making-the-gradient-small-in-stochastic-convex-optimization-1902.04686"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-utility-trade-off-of-linear-regression-under-random-projections-and-additive-noise-1902.04688</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-utility-trade-off-of-linear-regression-under-random-projections-and-additive-noise-1902.04688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-utility-trade-off-of-linear-regression-under-random-projections-and-additive-noise-1902.04688"/></url>
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<url><loc>https://scifaro.com/en/abs/simultaneously-learning-vision-and-feature-based-control-policies-for-real-world-ball-in-a-cup-1902.04706</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneously-learning-vision-and-feature-based-control-policies-for-real-world-ball-in-a-cup-1902.04706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneously-learning-vision-and-feature-based-control-policies-for-real-world-ball-in-a-cup-1902.04706"/></url>
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<url><loc>https://scifaro.com/en/abs/uniform-convergence-may-be-unable-to-explain-generalization-in-deep-learning-1902.04742</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-convergence-may-be-unable-to-explain-generalization-in-deep-learning-1902.04742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-convergence-may-be-unable-to-explain-generalization-in-deep-learning-1902.04742"/></url>
<url><loc>https://scifaro.com/en/abs/wireless-traffic-prediction-with-scalable-gaussian-process-framework-algorithms-and-verification-1902.04763</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wireless-traffic-prediction-with-scalable-gaussian-process-framework-algorithms-and-verification-1902.04763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wireless-traffic-prediction-with-scalable-gaussian-process-framework-algorithms-and-verification-1902.04763"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-cross-validation-for-semi-supervised-learning-1902.04768</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-cross-validation-for-semi-supervised-learning-1902.04768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-cross-validation-for-semi-supervised-learning-1902.04768"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-online-linear-regression-1902.04774</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-online-linear-regression-1902.04774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-online-linear-regression-1902.04774"/></url>
<url><loc>https://scifaro.com/en/abs/sample-optimal-parametric-q-learning-using-linearly-additive-features-1902.04779</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-optimal-parametric-q-learning-using-linearly-additive-features-1902.04779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-optimal-parametric-q-learning-using-linearly-additive-features-1902.04779"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-expressive-power-of-kernel-methods-and-the-efficiency-of-kernel-learning-by-association-schemes-1902.04782</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-expressive-power-of-kernel-methods-and-the-efficiency-of-kernel-learning-by-association-schemes-1902.04782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-expressive-power-of-kernel-methods-and-the-efficiency-of-kernel-learning-by-association-schemes-1902.04782"/></url>
<url><loc>https://scifaro.com/en/abs/on-nonconvex-optimization-for-machine-learning-gradients-stochasticity-and-saddle-points-1902.04811</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-nonconvex-optimization-for-machine-learning-gradients-stochasticity-and-saddle-points-1902.04811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-nonconvex-optimization-for-machine-learning-gradients-stochasticity-and-saddle-points-1902.04811"/></url>
<url><loc>https://scifaro.com/en/abs/the-odds-are-odd-a-statistical-test-for-detecting-adversarial-examples-1902.04818</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-odds-are-odd-a-statistical-test-for-detecting-adversarial-examples-1902.04818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-odds-are-odd-a-statistical-test-for-detecting-adversarial-examples-1902.04818"/></url>
<url><loc>https://scifaro.com/en/abs/classifying-signals-on-irregular-domains-via-convolutional-cluster-pooling-1902.04850</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifying-signals-on-irregular-domains-via-convolutional-cluster-pooling-1902.04850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifying-signals-on-irregular-domains-via-convolutional-cluster-pooling-1902.04850"/></url>
<url><loc>https://scifaro.com/en/abs/why-are-saliency-maps-noisy-cause-of-and-solution-to-noisy-saliency-maps-1902.04893</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-are-saliency-maps-noisy-cause-of-and-solution-to-noisy-saliency-maps-1902.04893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-are-saliency-maps-noisy-cause-of-and-solution-to-noisy-saliency-maps-1902.04893"/></url>
<url><loc>https://scifaro.com/en/abs/sample-variance-decay-in-randomly-initialized-relu-networks-1902.04942</loc><lastmod>2019-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-variance-decay-in-randomly-initialized-relu-networks-1902.04942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-variance-decay-in-randomly-initialized-relu-networks-1902.04942"/></url>
<url><loc>https://scifaro.com/en/abs/risk-prediction-of-peer-to-peer-lending-market-by-a-lstm-model-with-macroeconomic-factor-1902.04954</loc><lastmod>2020-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-prediction-of-peer-to-peer-lending-market-by-a-lstm-model-with-macroeconomic-factor-1902.04954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-prediction-of-peer-to-peer-lending-market-by-a-lstm-model-with-macroeconomic-factor-1902.04954"/></url>
<url><loc>https://scifaro.com/en/abs/provable-low-rank-phase-retrieval-1902.04972</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-low-rank-phase-retrieval-1902.04972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-low-rank-phase-retrieval-1902.04972"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-barycenter-model-ensembling-1902.04999</loc><lastmod>2019-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-barycenter-model-ensembling-1902.04999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-barycenter-model-ensembling-1902.04999"/></url>
<url><loc>https://scifaro.com/en/abs/atmseer-increasing-transparency-and-controllability-in-automated-machine-learning-1902.05009</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/atmseer-increasing-transparency-and-controllability-in-automated-machine-learning-1902.05009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/atmseer-increasing-transparency-and-controllability-in-automated-machine-learning-1902.05009"/></url>
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<url><loc>https://scifaro.com/en/abs/off-policy-actor-critic-in-an-ensemble-achieving-maximum-general-entropy-and-effective-environment-exploration-in-deep-reinforcement-learning-1902.05551</loc><lastmod>2019-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-actor-critic-in-an-ensemble-achieving-maximum-general-entropy-and-effective-environment-exploration-in-deep-reinforcement-learning-1902.05551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-actor-critic-in-an-ensemble-achieving-maximum-general-entropy-and-effective-environment-exploration-in-deep-reinforcement-learning-1902.05551"/></url>
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<url><loc>https://scifaro.com/en/abs/quick-and-easy-time-series-generation-with-established-image-based-gans-1902.05624</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quick-and-easy-time-series-generation-with-established-image-based-gans-1902.05624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quick-and-easy-time-series-generation-with-established-image-based-gans-1902.05624"/></url>
<url><loc>https://scifaro.com/en/abs/waveletae-a-wavelet-enhanced-autoencoder-for-wind-turbine-blade-icing-detection-1902.05625</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/waveletae-a-wavelet-enhanced-autoencoder-for-wind-turbine-blade-icing-detection-1902.05625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/waveletae-a-wavelet-enhanced-autoencoder-for-wind-turbine-blade-icing-detection-1902.05625"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-coagent-networks-1902.05650</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-coagent-networks-1902.05650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-coagent-networks-1902.05650"/></url>
<url><loc>https://scifaro.com/en/abs/kinn-incorporating-expert-knowledge-in-neural-networks-1902.05653</loc><lastmod>2019-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kinn-incorporating-expert-knowledge-in-neural-networks-1902.05653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kinn-incorporating-expert-knowledge-in-neural-networks-1902.05653"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitz-generative-adversarial-nets-1902.05687</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitz-generative-adversarial-nets-1902.05687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitz-generative-adversarial-nets-1902.05687"/></url>
<url><loc>https://scifaro.com/en/abs/autoq-automated-kernel-wise-neural-network-quantization-1902.05690</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoq-automated-kernel-wise-neural-network-quantization-1902.05690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoq-automated-kernel-wise-neural-network-quantization-1902.05690"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-adaptively-scale-recurrent-neural-networks-1902.05696</loc><lastmod>2019-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-adaptively-scale-recurrent-neural-networks-1902.05696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-adaptively-scale-recurrent-neural-networks-1902.05696"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-deep-learning-of-gmms-1902.05707</loc><lastmod>2019-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-deep-learning-of-gmms-1902.05707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-deep-learning-of-gmms-1902.05707"/></url>
<url><loc>https://scifaro.com/en/abs/svm-based-deep-stacking-networks-1902.05731</loc><lastmod>2019-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/svm-based-deep-stacking-networks-1902.05731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/svm-based-deep-stacking-networks-1902.05731"/></url>
<url><loc>https://scifaro.com/en/abs/a-convolutional-network-for-sleep-stages-classification-1902.05748</loc><lastmod>2019-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convolutional-network-for-sleep-stages-classification-1902.05748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convolutional-network-for-sleep-stages-classification-1902.05748"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-based-high-level-driving-behavior-decision-making-model-in-heterogeneous-traffic-1902.05772</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-based-high-level-driving-behavior-decision-making-model-in-heterogeneous-traffic-1902.05772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-based-high-level-driving-behavior-decision-making-model-in-heterogeneous-traffic-1902.05772"/></url>
<url><loc>https://scifaro.com/en/abs/fast-task-aware-architecture-inference-1902.05781</loc><lastmod>2019-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-task-aware-architecture-inference-1902.05781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-task-aware-architecture-inference-1902.05781"/></url>
<url><loc>https://scifaro.com/en/abs/robust-reinforcement-learning-in-pomdps-with-incomplete-and-noisy-observations-1902.05795</loc><lastmod>2019-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-reinforcement-learning-in-pomdps-with-incomplete-and-noisy-observations-1902.05795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-reinforcement-learning-in-pomdps-with-incomplete-and-noisy-observations-1902.05795"/></url>
<url><loc>https://scifaro.com/en/abs/heavy-tailed-kernels-reveal-a-finer-cluster-structure-in-t-sne-visualisations-1902.05804</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heavy-tailed-kernels-reveal-a-finer-cluster-structure-in-t-sne-visualisations-1902.05804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heavy-tailed-kernels-reveal-a-finer-cluster-structure-in-t-sne-visualisations-1902.05804"/></url>
<url><loc>https://scifaro.com/en/abs/the-fairness-of-risk-scores-beyond-classification-bipartite-ranking-and-the-xauc-metric-1902.05826</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-fairness-of-risk-scores-beyond-classification-bipartite-ranking-and-the-xauc-metric-1902.05826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-fairness-of-risk-scores-beyond-classification-bipartite-ranking-and-the-xauc-metric-1902.05826"/></url>
<url><loc>https://scifaro.com/en/abs/the-optimal-approximation-factor-in-density-estimation-1902.05876</loc><lastmod>2025-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-optimal-approximation-factor-in-density-estimation-1902.05876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-optimal-approximation-factor-in-density-estimation-1902.05876"/></url>
<url><loc>https://scifaro.com/en/abs/on-resampling-vs-adjusting-probabilistic-graphical-models-in-estimation-of-distribution-algorithms-1902.05946</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-resampling-vs-adjusting-probabilistic-graphical-models-in-estimation-of-distribution-algorithms-1902.05946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-resampling-vs-adjusting-probabilistic-graphical-models-in-estimation-of-distribution-algorithms-1902.05946"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-efficient-training-of-deep-convolutional-neural-networks-by-dynamic-sparse-reparameterization-1902.05967</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-efficient-training-of-deep-convolutional-neural-networks-by-dynamic-sparse-reparameterization-1902.05967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-efficient-training-of-deep-convolutional-neural-networks-by-dynamic-sparse-reparameterization-1902.05967"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-sequence-submodularity-1902.05981</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-sequence-submodularity-1902.05981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-sequence-submodularity-1902.05981"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-of-neural-networks-a-probabilistic-and-practical-approach-1902.05983</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-of-neural-networks-a-probabilistic-and-practical-approach-1902.05983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-of-neural-networks-a-probabilistic-and-practical-approach-1902.05983"/></url>
<url><loc>https://scifaro.com/en/abs/information-losses-in-neural-classifiers-from-sampling-1902.05991</loc><lastmod>2020-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-losses-in-neural-classifiers-from-sampling-1902.05991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-losses-in-neural-classifiers-from-sampling-1902.05991"/></url>
<url><loc>https://scifaro.com/en/abs/neural-encoding-human-experts-domain-knowledge-to-warm-start-reinforcement-learning-1902.06007</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-encoding-human-experts-domain-knowledge-to-warm-start-reinforcement-learning-1902.06007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-encoding-human-experts-domain-knowledge-to-warm-start-reinforcement-learning-1902.06007"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-in-rf-deep-learning-detection-of-the-attack-and-its-physical-robustness-1902.06044</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-in-rf-deep-learning-detection-of-the-attack-and-its-physical-robustness-1902.06044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-in-rf-deep-learning-detection-of-the-attack-and-its-physical-robustness-1902.06044"/></url>
<url><loc>https://scifaro.com/en/abs/res-se-net-boosting-performance-of-resnets-by-enhancing-bridge-connections-1902.06066</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/res-se-net-boosting-performance-of-resnets-by-enhancing-bridge-connections-1902.06066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/res-se-net-boosting-performance-of-resnets-by-enhancing-bridge-connections-1902.06066"/></url>
<url><loc>https://scifaro.com/en/abs/screening-rules-for-lasso-with-non-convex-sparse-regularizers-1902.06125</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/screening-rules-for-lasso-with-non-convex-sparse-regularizers-1902.06125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/screening-rules-for-lasso-with-non-convex-sparse-regularizers-1902.06125"/></url>
<url><loc>https://scifaro.com/en/abs/making-convex-loss-functions-robust-to-outliers-using-e-exponentiated-transformation-1902.06127</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-convex-loss-functions-robust-to-outliers-using-e-exponentiated-transformation-1902.06127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-convex-loss-functions-robust-to-outliers-using-e-exponentiated-transformation-1902.06127"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generalized-convolutional-sum-product-networks-1902.06155</loc><lastmod>2020-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generalized-convolutional-sum-product-networks-1902.06155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generalized-convolutional-sum-product-networks-1902.06155"/></url>
<url><loc>https://scifaro.com/en/abs/a-little-is-enough-circumventing-defenses-for-distributed-learning-1902.06156</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-little-is-enough-circumventing-defenses-for-distributed-learning-1902.06156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-little-is-enough-circumventing-defenses-for-distributed-learning-1902.06156"/></url>
<url><loc>https://scifaro.com/en/abs/wise-ale-wide-sample-estimator-for-approximate-latent-embedding-1902.06160</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wise-ale-wide-sample-estimator-for-approximate-latent-embedding-1902.06160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wise-ale-wide-sample-estimator-for-approximate-latent-embedding-1902.06160"/></url>
<url><loc>https://scifaro.com/en/abs/learning-linear-quadratic-regulators-efficiently-with-only-sqrt-t-regret-1902.06223</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-linear-quadratic-regulators-efficiently-with-only-sqrt-t-regret-1902.06223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-linear-quadratic-regulators-efficiently-with-only-sqrt-t-regret-1902.06223"/></url>
<url><loc>https://scifaro.com/en/abs/odin-ode-informed-regression-for-parameter-and-state-inference-in-time-continuous-dynamical-systems-1902.06278</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/odin-ode-informed-regression-for-parameter-and-state-inference-in-time-continuous-dynamical-systems-1902.06278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/odin-ode-informed-regression-for-parameter-and-state-inference-in-time-continuous-dynamical-systems-1902.06278"/></url>
<url><loc>https://scifaro.com/en/abs/a-semi-supervised-deep-residual-network-for-mode-detection-in-wi-fi-signals-1902.06284</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-semi-supervised-deep-residual-network-for-mode-detection-in-wi-fi-signals-1902.06284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-semi-supervised-deep-residual-network-for-mode-detection-in-wi-fi-signals-1902.06284"/></url>
<url><loc>https://scifaro.com/en/abs/protoattend-attention-based-prototypical-learning-1902.06292</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/protoattend-attention-based-prototypical-learning-1902.06292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/protoattend-attention-based-prototypical-learning-1902.06292"/></url>
<url><loc>https://scifaro.com/en/abs/quantized-frank-wolfe-faster-optimization-lower-communication-and-projection-free-1902.06332</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantized-frank-wolfe-faster-optimization-lower-communication-and-projection-free-1902.06332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantized-frank-wolfe-faster-optimization-lower-communication-and-projection-free-1902.06332"/></url>
<url><loc>https://scifaro.com/en/abs/a-one-class-support-vector-machine-calibration-method-for-time-series-change-point-detection-1902.06361</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-one-class-support-vector-machine-calibration-method-for-time-series-change-point-detection-1902.06361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-one-class-support-vector-machine-calibration-method-for-time-series-change-point-detection-1902.06361"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-and-diagnosing-incipient-building-faults-using-uncertainty-information-from-deep-neural-networks-1902.06366</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-and-diagnosing-incipient-building-faults-using-uncertainty-information-from-deep-neural-networks-1902.06366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-and-diagnosing-incipient-building-faults-using-uncertainty-information-from-deep-neural-networks-1902.06366"/></url>
<url><loc>https://scifaro.com/en/abs/auxblocks-defense-adversarial-example-via-auxiliary-blocks-1902.06415</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auxblocks-defense-adversarial-example-via-auxiliary-blocks-1902.06415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auxblocks-defense-adversarial-example-via-auxiliary-blocks-1902.06415"/></url>
<url><loc>https://scifaro.com/en/abs/learning-compositional-representations-of-interacting-systems-with-restricted-boltzmann-machines-comparative-study-of-lattice-proteins-1902.06495</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-compositional-representations-of-interacting-systems-with-restricted-boltzmann-machines-comparative-study-of-lattice-proteins-1902.06495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-compositional-representations-of-interacting-systems-with-restricted-boltzmann-machines-comparative-study-of-lattice-proteins-1902.06495"/></url>
<url><loc>https://scifaro.com/en/abs/structural-recurrent-neural-network-for-traffic-speed-prediction-1902.06506</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-recurrent-neural-network-for-traffic-speed-prediction-1902.06506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-recurrent-neural-network-for-traffic-speed-prediction-1902.06506"/></url>
<url><loc>https://scifaro.com/en/abs/grids-versus-graphs-partitioning-space-for-improved-taxi-demand-supply-forecasts-1902.06515</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grids-versus-graphs-partitioning-space-for-improved-taxi-demand-supply-forecasts-1902.06515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grids-versus-graphs-partitioning-space-for-improved-taxi-demand-supply-forecasts-1902.06515"/></url>
<url><loc>https://scifaro.com/en/abs/designing-recurrent-neural-networks-by-unfolding-an-l1-l1-minimization-algorithm-1902.06522</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-recurrent-neural-networks-by-unfolding-an-l1-l1-minimization-algorithm-1902.06522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-recurrent-neural-networks-by-unfolding-an-l1-l1-minimization-algorithm-1902.06522"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-porosity-and-permeability-alteration-based-on-machine-learning-algorithms-1902.06525</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-porosity-and-permeability-alteration-based-on-machine-learning-algorithms-1902.06525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-porosity-and-permeability-alteration-based-on-machine-learning-algorithms-1902.06525"/></url>
<url><loc>https://scifaro.com/en/abs/message-dropout-an-efficient-training-method-for-multi-agent-deep-reinforcement-learning-1902.06527</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/message-dropout-an-efficient-training-method-for-multi-agent-deep-reinforcement-learning-1902.06527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/message-dropout-an-efficient-training-method-for-multi-agent-deep-reinforcement-learning-1902.06527"/></url>
<url><loc>https://scifaro.com/en/abs/intra-and-inter-epoch-temporal-context-network-iitnet-using-sub-epoch-features-for-automatic-sleep-scoring-on-raw-single-channel-eeg-1902.06562</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intra-and-inter-epoch-temporal-context-network-iitnet-using-sub-epoch-features-for-automatic-sleep-scoring-on-raw-single-channel-eeg-1902.06562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intra-and-inter-epoch-temporal-context-network-iitnet-using-sub-epoch-features-for-automatic-sleep-scoring-on-raw-single-channel-eeg-1902.06562"/></url>
<url><loc>https://scifaro.com/en/abs/stcn-stochastic-temporal-convolutional-networks-1902.06568</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stcn-stochastic-temporal-convolutional-networks-1902.06568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stcn-stochastic-temporal-convolutional-networks-1902.06568"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-calibrators-1902.06579</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-calibrators-1902.06579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-calibrators-1902.06579"/></url>
<url><loc>https://scifaro.com/en/abs/fast-efficient-hyperparameter-tuning-for-policy-gradients-1902.06583</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-efficient-hyperparameter-tuning-for-policy-gradients-1902.06583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-efficient-hyperparameter-tuning-for-policy-gradients-1902.06583"/></url>
<url><loc>https://scifaro.com/en/abs/on-evaluating-adversarial-robustness-1902.06705</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-evaluating-adversarial-robustness-1902.06705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-evaluating-adversarial-robustness-1902.06705"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-cluster-validity-indices-for-hard-partitions-extensions-and-comparative-study-1902.06711</loc><lastmod>2019-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-cluster-validity-indices-for-hard-partitions-extensions-and-comparative-study-1902.06711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-cluster-validity-indices-for-hard-partitions-extensions-and-comparative-study-1902.06711"/></url>
<url><loc>https://scifaro.com/en/abs/a-parallel-fortran-framework-for-neural-networks-and-deep-learning-1902.06714</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-parallel-fortran-framework-for-neural-networks-and-deep-learning-1902.06714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-parallel-fortran-framework-for-neural-networks-and-deep-learning-1902.06714"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-communication-topologies-between-learning-agents-in-deep-reinforcement-learning-1902.06740</loc><lastmod>2020-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-communication-topologies-between-learning-agents-in-deep-reinforcement-learning-1902.06740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-communication-topologies-between-learning-agents-in-deep-reinforcement-learning-1902.06740"/></url>
<url><loc>https://scifaro.com/en/abs/using-an-ancillary-neural-network-to-capture-weekends-and-holidays-in-an-adjoint-neural-network-architecture-for-intelligent-building-management-1902.06778</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-an-ancillary-neural-network-to-capture-weekends-and-holidays-in-an-adjoint-neural-network-architecture-for-intelligent-building-management-1902.06778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-an-ancillary-neural-network-to-capture-weekends-and-holidays-in-an-adjoint-neural-network-architecture-for-intelligent-building-management-1902.06778"/></url>
<url><loc>https://scifaro.com/en/abs/regularizing-black-box-models-for-improved-interpretability-1902.06787</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizing-black-box-models-for-improved-interpretability-1902.06787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizing-black-box-models-for-improved-interpretability-1902.06787"/></url>
<url><loc>https://scifaro.com/en/abs/seven-myths-in-machine-learning-research-1902.06789</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seven-myths-in-machine-learning-research-1902.06789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seven-myths-in-machine-learning-research-1902.06789"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-for-low-resource-sentiment-analysis-using-generative-adversarial-networks-1902.06818</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-for-low-resource-sentiment-analysis-using-generative-adversarial-networks-1902.06818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-for-low-resource-sentiment-analysis-using-generative-adversarial-networks-1902.06818"/></url>
<url><loc>https://scifaro.com/en/abs/low-bit-quantization-of-neural-networks-for-efficient-inference-1902.06822</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-bit-quantization-of-neural-networks-for-efficient-inference-1902.06822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-bit-quantization-of-neural-networks-for-efficient-inference-1902.06822"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-deep-learning-algorithm-based-autoencoder-for-interference-channels-1902.06841</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-deep-learning-algorithm-based-autoencoder-for-interference-channels-1902.06841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-deep-learning-algorithm-based-autoencoder-for-interference-channels-1902.06841"/></url>
<url><loc>https://scifaro.com/en/abs/sufficiently-accurate-model-learning-1902.06862</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sufficiently-accurate-model-learning-1902.06862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sufficiently-accurate-model-learning-1902.06862"/></url>
<url><loc>https://scifaro.com/en/abs/proper-composite-loss-functions-in-arbitrary-dimensions-1902.06881</loc><lastmod>2022-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proper-composite-loss-functions-in-arbitrary-dimensions-1902.06881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proper-composite-loss-functions-in-arbitrary-dimensions-1902.06881"/></url>
<url><loc>https://scifaro.com/en/abs/there-are-no-bit-parts-for-sign-bits-in-black-box-attacks-1902.06894</loc><lastmod>2019-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/there-are-no-bit-parts-for-sign-bits-in-black-box-attacks-1902.06894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/there-are-no-bit-parts-for-sign-bits-in-black-box-attacks-1902.06894"/></url>
<url><loc>https://scifaro.com/en/abs/fast-compressive-sensing-recovery-using-generative-models-with-structured-latent-variables-1902.06913</loc><lastmod>2020-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-compressive-sensing-recovery-using-generative-models-with-structured-latent-variables-1902.06913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-compressive-sensing-recovery-using-generative-models-with-structured-latent-variables-1902.06913"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-a-black-box-using-deep-variational-information-bottleneck-approach-1902.06918</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-a-black-box-using-deep-variational-information-bottleneck-approach-1902.06918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-a-black-box-using-deep-variational-information-bottleneck-approach-1902.06918"/></url>
<url><loc>https://scifaro.com/en/abs/label-removed-generative-adversarial-networks-incorporating-with-k-means-1902.06938</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-removed-generative-adversarial-networks-incorporating-with-k-means-1902.06938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-removed-generative-adversarial-networks-incorporating-with-k-means-1902.06938"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-analysis-of-em-for-truncated-mixtures-of-two-gaussians-1902.06958</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-analysis-of-em-for-truncated-mixtures-of-two-gaussians-1902.06958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-analysis-of-em-for-truncated-mixtures-of-two-gaussians-1902.06958"/></url>
<url><loc>https://scifaro.com/en/abs/dedpul-difference-of-estimated-densities-based-positive-unlabeled-learning-1902.06965</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dedpul-difference-of-estimated-densities-based-positive-unlabeled-learning-1902.06965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dedpul-difference-of-estimated-densities-based-positive-unlabeled-learning-1902.06965"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-model-calibration-in-classification-1902.06977</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-model-calibration-in-classification-1902.06977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-model-calibration-in-classification-1902.06977"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-generalisation-in-continuous-deep-reinforcement-learning-1902.07015</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-generalisation-in-continuous-deep-reinforcement-learning-1902.07015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-generalisation-in-continuous-deep-reinforcement-learning-1902.07015"/></url>
<url><loc>https://scifaro.com/en/abs/cost-sensitive-diagnosis-and-learning-leveraging-public-health-data-1902.07102</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-sensitive-diagnosis-and-learning-leveraging-public-health-data-1902.07102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-sensitive-diagnosis-and-learning-leveraging-public-health-data-1902.07102"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-cross-modal-few-shot-learning-1902.07104</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-cross-modal-few-shot-learning-1902.07104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-cross-modal-few-shot-learning-1902.07104"/></url>
<url><loc>https://scifaro.com/en/abs/global-convergence-of-adaptive-gradient-methods-for-an-over-parameterized-neural-network-1902.07111</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convergence-of-adaptive-gradient-methods-for-an-over-parameterized-neural-network-1902.07111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convergence-of-adaptive-gradient-methods-for-an-over-parameterized-neural-network-1902.07111"/></url>
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<url><loc>https://scifaro.com/en/abs/recovery-of-a-mixture-of-gaussians-by-sum-of-norms-clustering-1902.07137</loc><lastmod>2019-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovery-of-a-mixture-of-gaussians-by-sum-of-norms-clustering-1902.07137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovery-of-a-mixture-of-gaussians-by-sum-of-norms-clustering-1902.07137"/></url>
<url><loc>https://scifaro.com/en/abs/simplifying-graph-convolutional-networks-1902.07153</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simplifying-graph-convolutional-networks-1902.07153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simplifying-graph-convolutional-networks-1902.07153"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-compositionality-in-representation-learning-1902.07181</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-compositionality-in-representation-learning-1902.07181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-compositionality-in-representation-learning-1902.07181"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-nonlinear-dynamical-systems-via-generative-recurrent-neural-networks-with-applications-to-fmri-1902.07186</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-nonlinear-dynamical-systems-via-generative-recurrent-neural-networks-with-applications-to-fmri-1902.07186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-nonlinear-dynamical-systems-via-generative-recurrent-neural-networks-with-applications-to-fmri-1902.07186"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-generalize-from-sparse-and-underspecified-rewards-1902.07198</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-generalize-from-sparse-and-underspecified-rewards-1902.07198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-generalize-from-sparse-and-underspecified-rewards-1902.07198"/></url>
<url><loc>https://scifaro.com/en/abs/learning-optimal-linear-regularizers-1902.07234</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-optimal-linear-regularizers-1902.07234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-optimal-linear-regularizers-1902.07234"/></url>
<url><loc>https://scifaro.com/en/abs/fast-neural-network-verification-via-shadow-prices-1902.07247</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-neural-network-verification-via-shadow-prices-1902.07247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-neural-network-verification-via-shadow-prices-1902.07247"/></url>
<url><loc>https://scifaro.com/en/abs/dom-q-net-grounded-rl-on-structured-language-1902.07257</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dom-q-net-grounded-rl-on-structured-language-1902.07257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dom-q-net-grounded-rl-on-structured-language-1902.07257"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-controlling-memory-in-recurrent-neural-networks-1902.07275</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-controlling-memory-in-recurrent-neural-networks-1902.07275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-controlling-memory-in-recurrent-neural-networks-1902.07275"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-methods-that-are-resistant-to-a-limited-number-of-features-corrupted-by-an-adversary-1902.07280</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-methods-that-are-resistant-to-a-limited-number-of-features-corrupted-by-an-adversary-1902.07280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-methods-that-are-resistant-to-a-limited-number-of-features-corrupted-by-an-adversary-1902.07280"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-continuous-variations-dynamic-regret-and-reductions-1902.07286</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-continuous-variations-dynamic-regret-and-reductions-1902.07286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-continuous-variations-dynamic-regret-and-reductions-1902.07286"/></url>
<url><loc>https://scifaro.com/en/abs/submodular-load-clustering-with-robust-principal-component-analysis-1902.07376</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/submodular-load-clustering-with-robust-principal-component-analysis-1902.07376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/submodular-load-clustering-with-robust-principal-component-analysis-1902.07376"/></url>
<url><loc>https://scifaro.com/en/abs/meta-weight-net-learning-an-explicit-mapping-for-sample-weighting-1902.07379</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-weight-net-learning-an-explicit-mapping-for-sample-weighting-1902.07379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-weight-net-learning-an-explicit-mapping-for-sample-weighting-1902.07379"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitzlr-using-theoretically-computed-adaptive-learning-rates-for-fast-convergence-1902.07399</loc><lastmod>2020-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitzlr-using-theoretically-computed-adaptive-learning-rates-for-fast-convergence-1902.07399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitzlr-using-theoretically-computed-adaptive-learning-rates-for-fast-convergence-1902.07399"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-neural-networks-via-ell-0-and-t-ell-1-by-a-relaxed-variable-splitting-method-with-application-to-multi-scale-curve-classification-1902.07419</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-neural-networks-via-ell-0-and-t-ell-1-by-a-relaxed-variable-splitting-method-with-application-to-multi-scale-curve-classification-1902.07419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-neural-networks-via-ell-0-and-t-ell-1-by-a-relaxed-variable-splitting-method-with-application-to-multi-scale-curve-classification-1902.07419"/></url>
<url><loc>https://scifaro.com/en/abs/mexican-hat-wavelet-kernel-elm-for-multiclass-classification-1902.07422</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mexican-hat-wavelet-kernel-elm-for-multiclass-classification-1902.07422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mexican-hat-wavelet-kernel-elm-for-multiclass-classification-1902.07422"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-inadequate-and-incorrect-supervision-1902.07429</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-inadequate-and-incorrect-supervision-1902.07429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-inadequate-and-incorrect-supervision-1902.07429"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-bounding-regret-of-the-c-2-ucb-contextual-combinatorial-bandit-1902.07500</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-bounding-regret-of-the-c-2-ucb-contextual-combinatorial-bandit-1902.07500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-bounding-regret-of-the-c-2-ucb-contextual-combinatorial-bandit-1902.07500"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-scale-invariant-online-algorithms-for-learning-linear-models-1902.07528</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-scale-invariant-online-algorithms-for-learning-linear-models-1902.07528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-scale-invariant-online-algorithms-for-learning-linear-models-1902.07528"/></url>
<url><loc>https://scifaro.com/en/abs/data-collaboration-analysis-for-distributed-datasets-1902.07535</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-collaboration-analysis-for-distributed-datasets-1902.07535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-collaboration-analysis-for-distributed-datasets-1902.07535"/></url>
<url><loc>https://scifaro.com/en/abs/active-probabilistic-inference-on-matrices-for-pre-conditioning-in-stochastic-optimization-1902.07557</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-probabilistic-inference-on-matrices-for-pre-conditioning-in-stochastic-optimization-1902.07557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-probabilistic-inference-on-matrices-for-pre-conditioning-in-stochastic-optimization-1902.07557"/></url>
<url><loc>https://scifaro.com/en/abs/emulating-human-developmental-stages-with-bayesian-neural-networks-1902.07579</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emulating-human-developmental-stages-with-bayesian-neural-networks-1902.07579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emulating-human-developmental-stages-with-bayesian-neural-networks-1902.07579"/></url>
<url><loc>https://scifaro.com/en/abs/where-do-human-heuristics-come-from-1902.07580</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/where-do-human-heuristics-come-from-1902.07580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/where-do-human-heuristics-come-from-1902.07580"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-confidence-regions-tight-bayesian-ambiguity-sets-for-robust-mdps-1902.07605</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-confidence-regions-tight-bayesian-ambiguity-sets-for-robust-mdps-1902.07605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-confidence-regions-tight-bayesian-ambiguity-sets-for-robust-mdps-1902.07605"/></url>
<url><loc>https://scifaro.com/en/abs/advertorch-v0-1-an-adversarial-robustness-toolbox-based-on-pytorch-1902.07623</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advertorch-v0-1-an-adversarial-robustness-toolbox-based-on-pytorch-1902.07623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advertorch-v0-1-an-adversarial-robustness-toolbox-based-on-pytorch-1902.07623"/></url>
<url><loc>https://scifaro.com/en/abs/random-search-and-reproducibility-for-neural-architecture-search-1902.07638</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-search-and-reproducibility-for-neural-architecture-search-1902.07638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-search-and-reproducibility-for-neural-architecture-search-1902.07638"/></url>
<url><loc>https://scifaro.com/en/abs/lossgrad-automatic-learning-rate-in-gradient-descent-1902.07656</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lossgrad-automatic-learning-rate-in-gradient-descent-1902.07656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lossgrad-automatic-learning-rate-in-gradient-descent-1902.07656"/></url>
<url><loc>https://scifaro.com/en/abs/feature-relevance-bounds-for-ordinal-regression-1902.07662</loc><lastmod>2019-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-relevance-bounds-for-ordinal-regression-1902.07662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-relevance-bounds-for-ordinal-regression-1902.07662"/></url>
<url><loc>https://scifaro.com/en/abs/from-language-to-goals-inverse-reinforcement-learning-for-vision-based-instruction-following-1902.07742</loc><lastmod>2019-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-language-to-goals-inverse-reinforcement-learning-for-vision-based-instruction-following-1902.07742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-language-to-goals-inverse-reinforcement-learning-for-vision-based-instruction-following-1902.07742"/></url>
<url><loc>https://scifaro.com/en/abs/adalinucb-opportunistic-learning-for-contextual-bandits-1902.07802</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adalinucb-opportunistic-learning-for-contextual-bandits-1902.07802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adalinucb-opportunistic-learning-for-contextual-bandits-1902.07802"/></url>
<url><loc>https://scifaro.com/en/abs/stable-and-fair-classification-1902.07823</loc><lastmod>2020-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-and-fair-classification-1902.07823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-and-fair-classification-1902.07823"/></url>
<url><loc>https://scifaro.com/en/abs/stfnets-learning-sensing-signals-from-the-time-frequency-perspective-with-short-time-fourier-neural-networks-1902.07849</loc><lastmod>2019-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stfnets-learning-sensing-signals-from-the-time-frequency-perspective-with-short-time-fourier-neural-networks-1902.07849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stfnets-learning-sensing-signals-from-the-time-frequency-perspective-with-short-time-fourier-neural-networks-1902.07849"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-neural-symbolic-models-for-interpretable-visual-question-answering-1902.07864</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-neural-symbolic-models-for-interpretable-visual-question-answering-1902.07864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-neural-symbolic-models-for-interpretable-visual-question-answering-1902.07864"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-adversarial-examples-via-projected-sinkhorn-iterations-1902.07906</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-adversarial-examples-via-projected-sinkhorn-iterations-1902.07906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-adversarial-examples-via-projected-sinkhorn-iterations-1902.07906"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimisation-under-uncertain-inputs-1902.07908</loc><lastmod>2019-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimisation-under-uncertain-inputs-1902.07908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimisation-under-uncertain-inputs-1902.07908"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-multidimensional-projections-1902.07958</loc><lastmod>2019-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-multidimensional-projections-1902.07958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-multidimensional-projections-1902.07958"/></url>
<url><loc>https://scifaro.com/en/abs/multi-player-bandits-the-adversarial-case-1902.08036</loc><lastmod>2019-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-player-bandits-the-adversarial-case-1902.08036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-player-bandits-the-adversarial-case-1902.08036"/></url>
<url><loc>https://scifaro.com/en/abs/curiosity-driven-experience-prioritization-via-density-estimation-1902.08039</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curiosity-driven-experience-prioritization-via-density-estimation-1902.08039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curiosity-driven-experience-prioritization-via-density-estimation-1902.08039"/></url>
<url><loc>https://scifaro.com/en/abs/active-online-learning-in-the-binary-perceptron-problem-1902.08043</loc><lastmod>2019-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-online-learning-in-the-binary-perceptron-problem-1902.08043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-online-learning-in-the-binary-perceptron-problem-1902.08043"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-the-softmax-bottleneck-via-learnable-monotonic-pointwise-non-linearities-1902.08077</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-the-softmax-bottleneck-via-learnable-monotonic-pointwise-non-linearities-1902.08077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-the-softmax-bottleneck-via-learnable-monotonic-pointwise-non-linearities-1902.08077"/></url>
<url><loc>https://scifaro.com/en/abs/domain-partitioning-network-1902.08134</loc><lastmod>2019-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-partitioning-network-1902.08134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-partitioning-network-1902.08134"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-the-search-phase-of-neural-architecture-search-1902.08142</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-the-search-phase-of-neural-architecture-search-1902.08142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-the-search-phase-of-neural-architecture-search-1902.08142"/></url>
<url><loc>https://scifaro.com/en/abs/learned-step-size-quantization-1902.08153</loc><lastmod>2020-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learned-step-size-quantization-1902.08153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learned-step-size-quantization-1902.08153"/></url>
<url><loc>https://scifaro.com/en/abs/topology-of-learning-in-artificial-neural-networks-1902.08160</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topology-of-learning-in-artificial-neural-networks-1902.08160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topology-of-learning-in-artificial-neural-networks-1902.08160"/></url>
<url><loc>https://scifaro.com/en/abs/a-dictionary-based-generalization-of-robust-pca-1902.08171</loc><lastmod>2019-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dictionary-based-generalization-of-robust-pca-1902.08171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dictionary-based-generalization-of-robust-pca-1902.08171"/></url>
<url><loc>https://scifaro.com/en/abs/online-sampling-from-log-concave-distributions-1902.08179</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-sampling-from-log-concave-distributions-1902.08179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-sampling-from-log-concave-distributions-1902.08179"/></url>
<url><loc>https://scifaro.com/en/abs/graph-adversarial-training-dynamically-regularizing-based-on-graph-structure-1902.08226</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-adversarial-training-dynamically-regularizing-based-on-graph-structure-1902.08226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-adversarial-training-dynamically-regularizing-based-on-graph-structure-1902.08226"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-multi-model-forgetting-1902.08232</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-multi-model-forgetting-1902.08232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-multi-model-forgetting-1902.08232"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-of-large-batch-stochastic-gradient-descent-with-structured-covariance-noise-1902.08234</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-of-large-batch-stochastic-gradient-descent-with-structured-covariance-noise-1902.08234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-of-large-batch-stochastic-gradient-descent-with-structured-covariance-noise-1902.08234"/></url>
<url><loc>https://scifaro.com/en/abs/latent-translation-crossing-modalities-by-bridging-generative-models-1902.08261</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-translation-crossing-modalities-by-bridging-generative-models-1902.08261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-translation-crossing-modalities-by-bridging-generative-models-1902.08261"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-analysis-operator-learning-dependence-on-training-data-1902.08267</loc><lastmod>2023-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-analysis-operator-learning-dependence-on-training-data-1902.08267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-analysis-operator-learning-dependence-on-training-data-1902.08267"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-optimal-early-stopping-policies-for-black-box-optimization-1902.08285</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-optimal-early-stopping-policies-for-black-box-optimization-1902.08285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-optimal-early-stopping-policies-for-black-box-optimization-1902.08285"/></url>
<url><loc>https://scifaro.com/en/abs/lingvo-a-modular-and-scalable-framework-for-sequence-to-sequence-modeling-1902.08295</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lingvo-a-modular-and-scalable-framework-for-sequence-to-sequence-modeling-1902.08295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lingvo-a-modular-and-scalable-framework-for-sequence-to-sequence-modeling-1902.08295"/></url>
<url><loc>https://scifaro.com/en/abs/a-dictionary-based-generalization-of-robust-pca-with-applications-to-target-localization-in-hyperspectral-imaging-1902.08304</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dictionary-based-generalization-of-robust-pca-with-applications-to-target-localization-in-hyperspectral-imaging-1902.08304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dictionary-based-generalization-of-robust-pca-with-applications-to-target-localization-in-hyperspectral-imaging-1902.08304"/></url>
<url><loc>https://scifaro.com/en/abs/reduced-rank-local-distance-metric-learning-for-k-nn-classification-1902.08313</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reduced-rank-local-distance-metric-learning-for-k-nn-classification-1902.08313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reduced-rank-local-distance-metric-learning-for-k-nn-classification-1902.08313"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sensitivity-of-adversarial-robustness-to-input-data-distributions-1902.08336</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sensitivity-of-adversarial-robustness-to-input-data-distributions-1902.08336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sensitivity-of-adversarial-robustness-to-input-data-distributions-1902.08336"/></url>
<url><loc>https://scifaro.com/en/abs/generative-memory-for-lifelong-reinforcement-learning-1902.08349</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-memory-for-lifelong-reinforcement-learning-1902.08349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-memory-for-lifelong-reinforcement-learning-1902.08349"/></url>
<url><loc>https://scifaro.com/en/abs/capsule-neural-networks-for-graph-classification-using-explicit-tensorial-graph-representations-1902.08399</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capsule-neural-networks-for-graph-classification-using-explicit-tensorial-graph-representations-1902.08399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capsule-neural-networks-for-graph-classification-using-explicit-tensorial-graph-representations-1902.08399"/></url>
<url><loc>https://scifaro.com/en/abs/learning-about-an-exponential-amount-of-conditional-distributions-1902.08401</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-about-an-exponential-amount-of-conditional-distributions-1902.08401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-about-an-exponential-amount-of-conditional-distributions-1902.08401"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-on-graph-neural-networks-via-meta-learning-1902.08412</loc><lastmod>2024-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-on-graph-neural-networks-via-meta-learning-1902.08412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-on-graph-neural-networks-via-meta-learning-1902.08412"/></url>
<url><loc>https://scifaro.com/en/abs/online-meta-learning-1902.08438</loc><lastmod>2019-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-meta-learning-1902.08438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-meta-learning-1902.08438"/></url>
<url><loc>https://scifaro.com/en/abs/fine-grained-search-space-classification-for-hard-enumeration-variants-of-subset-problems-1902.08455</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fine-grained-search-space-classification-for-hard-enumeration-variants-of-subset-problems-1902.08455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fine-grained-search-space-classification-for-hard-enumeration-variants-of-subset-problems-1902.08455"/></url>
<url><loc>https://scifaro.com/en/abs/diversity-of-ensembles-for-data-stream-classification-1902.08466</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversity-of-ensembles-for-data-stream-classification-1902.08466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversity-of-ensembles-for-data-stream-classification-1902.08466"/></url>
<url><loc>https://scifaro.com/en/abs/ares-and-mars-adversarial-and-mmd-minimizing-regression-for-sdes-1902.08480</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ares-and-mars-adversarial-and-mmd-minimizing-regression-for-sdes-1902.08480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ares-and-mars-adversarial-and-mmd-minimizing-regression-for-sdes-1902.08480"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-framework-and-r-toolkit-for-exploring-evaluating-and-comparing-visualizations-1902.08571</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-framework-and-r-toolkit-for-exploring-evaluating-and-comparing-visualizations-1902.08571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-framework-and-r-toolkit-for-exploring-evaluating-and-comparing-visualizations-1902.08571"/></url>
<url><loc>https://scifaro.com/en/abs/capacity-allocation-through-neural-network-layers-1902.08572</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capacity-allocation-through-neural-network-layers-1902.08572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capacity-allocation-through-neural-network-layers-1902.08572"/></url>
<url><loc>https://scifaro.com/en/abs/towards-neural-mixture-recommender-for-long-range-dependent-user-sequences-1902.08588</loc><lastmod>2019-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-neural-mixture-recommender-for-long-range-dependent-user-sequences-1902.08588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-neural-mixture-recommender-for-long-range-dependent-user-sequences-1902.08588"/></url>
<url><loc>https://scifaro.com/en/abs/multi-armed-bandit-strategies-for-non-stationary-reward-distributions-and-delayed-feedback-processes-1902.08593</loc><lastmod>2019-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-armed-bandit-strategies-for-non-stationary-reward-distributions-and-delayed-feedback-processes-1902.08593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-armed-bandit-strategies-for-non-stationary-reward-distributions-and-delayed-feedback-processes-1902.08593"/></url>
<url><loc>https://scifaro.com/en/abs/are-few-shot-learning-benchmarks-too-simple-solving-them-without-task-supervision-at-test-time-1902.08605</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-few-shot-learning-benchmarks-too-simple-solving-them-without-task-supervision-at-test-time-1902.08605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-few-shot-learning-benchmarks-too-simple-solving-them-without-task-supervision-at-test-time-1902.08605"/></url>
<url><loc>https://scifaro.com/en/abs/mpp-model-performance-predictor-1902.08638</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mpp-model-performance-predictor-1902.08638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mpp-model-performance-predictor-1902.08638"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hash-function-through-codewords-1902.08639</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hash-function-through-codewords-1902.08639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hash-function-through-codewords-1902.08639"/></url>
<url><loc>https://scifaro.com/en/abs/better-algorithms-for-stochastic-bandits-with-adversarial-corruptions-1902.08647</loc><lastmod>2019-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-algorithms-for-stochastic-bandits-with-adversarial-corruptions-1902.08647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-algorithms-for-stochastic-bandits-with-adversarial-corruptions-1902.08647"/></url>
<url><loc>https://scifaro.com/en/abs/learning-protein-sequence-embeddings-using-information-from-structure-1902.08661</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-protein-sequence-embeddings-using-information-from-structure-1902.08661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-protein-sequence-embeddings-using-information-from-structure-1902.08661"/></url>
<url><loc>https://scifaro.com/en/abs/drug-drug-interaction-prediction-based-on-co-medication-patterns-and-graph-matching-1902.08675</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drug-drug-interaction-prediction-based-on-co-medication-patterns-and-graph-matching-1902.08675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drug-drug-interaction-prediction-based-on-co-medication-patterns-and-graph-matching-1902.08675"/></url>
<url><loc>https://scifaro.com/en/abs/pragmatic-classification-of-movement-primitives-for-stroke-rehabilitation-1902.08697</loc><lastmod>2021-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pragmatic-classification-of-movement-primitives-for-stroke-rehabilitation-1902.08697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pragmatic-classification-of-movement-primitives-for-stroke-rehabilitation-1902.08697"/></url>
<url><loc>https://scifaro.com/en/abs/online-control-with-adversarial-disturbances-1902.08721</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-control-with-adversarial-disturbances-1902.08721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-control-with-adversarial-disturbances-1902.08721"/></url>
<url><loc>https://scifaro.com/en/abs/a-convex-relaxation-barrier-to-tight-robustness-verification-of-neural-networks-1902.08722</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convex-relaxation-barrier-to-tight-robustness-verification-of-neural-networks-1902.08722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convex-relaxation-barrier-to-tight-robustness-verification-of-neural-networks-1902.08722"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-visual-domain-adaptation-a-deep-max-margin-gaussian-process-approach-1902.08727</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-visual-domain-adaptation-a-deep-max-margin-gaussian-process-approach-1902.08727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-visual-domain-adaptation-a-deep-max-margin-gaussian-process-approach-1902.08727"/></url>
<url><loc>https://scifaro.com/en/abs/a-degeneracy-framework-for-scalable-graph-autoencoders-1902.08813</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-degeneracy-framework-for-scalable-graph-autoencoders-1902.08813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-degeneracy-framework-for-scalable-graph-autoencoders-1902.08813"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-non-intrusive-load-monitoring-1902.08835</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-non-intrusive-load-monitoring-1902.08835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-non-intrusive-load-monitoring-1902.08835"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-method-to-model-the-quality-inconsistencies-of-the-welding-process-1902.08869</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-method-to-model-the-quality-inconsistencies-of-the-welding-process-1902.08869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-method-to-model-the-quality-inconsistencies-of-the-welding-process-1902.08869"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-differentially-private-machine-learning-in-practice-1902.08874</loc><lastmod>2019-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-differentially-private-machine-learning-in-practice-1902.08874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-differentially-private-machine-learning-in-practice-1902.08874"/></url>
<url><loc>https://scifaro.com/en/abs/medical-multimodal-classifiers-under-scarce-data-condition-1902.08888</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/medical-multimodal-classifiers-under-scarce-data-condition-1902.08888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/medical-multimodal-classifiers-under-scarce-data-condition-1902.08888"/></url>
<url><loc>https://scifaro.com/en/abs/truth-inference-at-scale-a-bayesian-model-for-adjudicating-highly-redundant-crowd-annotations-1902.08918</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truth-inference-at-scale-a-bayesian-model-for-adjudicating-highly-redundant-crowd-annotations-1902.08918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truth-inference-at-scale-a-bayesian-model-for-adjudicating-highly-redundant-crowd-annotations-1902.08918"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-channel-estimation-for-discrete-denoising-under-channel-uncertainty-1902.08921</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-channel-estimation-for-discrete-denoising-under-channel-uncertainty-1902.08921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-channel-estimation-for-discrete-denoising-under-channel-uncertainty-1902.08921"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-location-data-publishing-a-machine-learning-approach-1902.08934</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-location-data-publishing-a-machine-learning-approach-1902.08934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-location-data-publishing-a-machine-learning-approach-1902.08934"/></url>
<url><loc>https://scifaro.com/en/abs/training-gans-with-centripetal-acceleration-1902.08949</loc><lastmod>2020-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-gans-with-centripetal-acceleration-1902.08949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-gans-with-centripetal-acceleration-1902.08949"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-restrictive-federated-model-selection-with-multi-objective-bayesian-optimization-over-shifted-distributions-1902.08999</loc><lastmod>2019-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-restrictive-federated-model-selection-with-multi-objective-bayesian-optimization-over-shifted-distributions-1902.08999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-restrictive-federated-model-selection-with-multi-objective-bayesian-optimization-over-shifted-distributions-1902.08999"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-private-algorithms-for-learning-large-margin-halfspaces-1902.09009</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-private-algorithms-for-learning-large-margin-halfspaces-1902.09009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-private-algorithms-for-learning-large-margin-halfspaces-1902.09009"/></url>
<url><loc>https://scifaro.com/en/abs/rapidly-adapting-moment-estimation-1902.09030</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapidly-adapting-moment-estimation-1902.09030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapidly-adapting-moment-estimation-1902.09030"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-estimators-show-information-compression-in-deep-neural-networks-1902.09037</loc><lastmod>2023-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-estimators-show-information-compression-in-deep-neural-networks-1902.09037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-estimators-show-information-compression-in-deep-neural-networks-1902.09037"/></url>
<url><loc>https://scifaro.com/en/abs/a-driving-intention-prediction-method-based-on-hidden-markov-model-for-autonomous-driving-1902.09068</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-driving-intention-prediction-method-based-on-hidden-markov-model-for-autonomous-driving-1902.09068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-driving-intention-prediction-method-based-on-hidden-markov-model-for-autonomous-driving-1902.09068"/></url>
<url><loc>https://scifaro.com/en/abs/field-aware-neural-factorization-machine-for-click-through-rate-prediction-1902.09096</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/field-aware-neural-factorization-machine-for-click-through-rate-prediction-1902.09096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/field-aware-neural-factorization-machine-for-click-through-rate-prediction-1902.09096"/></url>
<url><loc>https://scifaro.com/en/abs/neural-reverse-engineering-of-stripped-binaries-using-augmented-control-flow-graphs-1902.09122</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-reverse-engineering-of-stripped-binaries-using-augmented-control-flow-graphs-1902.09122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-reverse-engineering-of-stripped-binaries-using-augmented-control-flow-graphs-1902.09122"/></url>
<url><loc>https://scifaro.com/en/abs/deep-bayesian-multi-target-learning-for-recommender-systems-1902.09154</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-bayesian-multi-target-learning-for-recommender-systems-1902.09154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-bayesian-multi-target-learning-for-recommender-systems-1902.09154"/></url>
<url><loc>https://scifaro.com/en/abs/improved-algorithm-on-online-clustering-of-bandits-1902.09162</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-algorithm-on-online-clustering-of-bandits-1902.09162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-algorithm-on-online-clustering-of-bandits-1902.09162"/></url>
<url><loc>https://scifaro.com/en/abs/gfcn-a-new-graph-convolutional-network-based-on-parallel-flows-1902.09173</loc><lastmod>2020-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gfcn-a-new-graph-convolutional-network-based-on-parallel-flows-1902.09173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gfcn-a-new-graph-convolutional-network-based-on-parallel-flows-1902.09173"/></url>
<url><loc>https://scifaro.com/en/abs/batch-virtual-adversarial-training-for-graph-convolutional-networks-1902.09192</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-virtual-adversarial-training-for-graph-convolutional-networks-1902.09192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-virtual-adversarial-training-for-graph-convolutional-networks-1902.09192"/></url>
<url><loc>https://scifaro.com/en/abs/harmonizing-maximum-likelihood-with-gans-for-multimodal-conditional-generation-1902.09225</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harmonizing-maximum-likelihood-with-gans-for-multimodal-conditional-generation-1902.09225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harmonizing-maximum-likelihood-with-gans-for-multimodal-conditional-generation-1902.09225"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretical-analysis-of-contrastive-unsupervised-representation-learning-1902.09229</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-analysis-of-contrastive-unsupervised-representation-learning-1902.09229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-analysis-of-contrastive-unsupervised-representation-learning-1902.09229"/></url>
<url><loc>https://scifaro.com/en/abs/the-mbpep-a-deep-ensemble-pruning-algorithm-providing-high-quality-uncertainty-prediction-1902.09238</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-mbpep-a-deep-ensemble-pruning-algorithm-providing-high-quality-uncertainty-prediction-1902.09238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-mbpep-a-deep-ensemble-pruning-algorithm-providing-high-quality-uncertainty-prediction-1902.09238"/></url>
<url><loc>https://scifaro.com/en/abs/modularity-as-a-means-for-complexity-management-in-neural-networks-learning-1902.09240</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modularity-as-a-means-for-complexity-management-in-neural-networks-learning-1902.09240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modularity-as-a-means-for-complexity-management-in-neural-networks-learning-1902.09240"/></url>
<url><loc>https://scifaro.com/en/abs/joint-modeling-of-dense-and-incomplete-trajectories-for-citywide-traffic-volume-inference-1902.09255</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-modeling-of-dense-and-incomplete-trajectories-for-citywide-traffic-volume-inference-1902.09255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-modeling-of-dense-and-incomplete-trajectories-for-citywide-traffic-volume-inference-1902.09255"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-hidden-in-plain-sight-1902.09286</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-hidden-in-plain-sight-1902.09286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-hidden-in-plain-sight-1902.09286"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-network-classification-via-weighted-personalized-factorizations-1902.09294</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-network-classification-via-weighted-personalized-factorizations-1902.09294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-network-classification-via-weighted-personalized-factorizations-1902.09294"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-wasserstein-auto-encoders-1902.09323</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-wasserstein-auto-encoders-1902.09323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-wasserstein-auto-encoders-1902.09323"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-elasticity-reconstruction-and-clustering-using-local-displacement-fields-1902.09328</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-elasticity-reconstruction-and-clustering-using-local-displacement-fields-1902.09328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-elasticity-reconstruction-and-clustering-using-local-displacement-fields-1902.09328"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-path-prediction-for-semi-supervised-and-weakly-supervised-hierarchical-text-classification-1902.09347</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-path-prediction-for-semi-supervised-and-weakly-supervised-hierarchical-text-classification-1902.09347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-path-prediction-for-semi-supervised-and-weakly-supervised-hierarchical-text-classification-1902.09347"/></url>
<url><loc>https://scifaro.com/en/abs/cfm-bd-a-distributed-rule-induction-algorithm-for-building-compact-fuzzy-models-in-big-data-classification-problems-1902.09357</loc><lastmod>2019-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cfm-bd-a-distributed-rule-induction-algorithm-for-building-compact-fuzzy-models-in-big-data-classification-problems-1902.09357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cfm-bd-a-distributed-rule-induction-algorithm-for-building-compact-fuzzy-models-in-big-data-classification-problems-1902.09357"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-and-order-robust-continual-learning-with-additive-parameter-decomposition-1902.09432</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-and-order-robust-continual-learning-with-additive-parameter-decomposition-1902.09432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-and-order-robust-continual-learning-with-additive-parameter-decomposition-1902.09432"/></url>
<url><loc>https://scifaro.com/en/abs/s-trigger-continual-state-representation-learning-via-self-triggered-generative-replay-1902.09434</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/s-trigger-continual-state-representation-learning-via-self-triggered-generative-replay-1902.09434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/s-trigger-continual-state-representation-learning-via-self-triggered-generative-replay-1902.09434"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-for-an-e-commerce-pricing-system-1902.09566</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-for-an-e-commerce-pricing-system-1902.09566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-for-an-e-commerce-pricing-system-1902.09566"/></url>
<url><loc>https://scifaro.com/en/abs/the-state-of-sparsity-in-deep-neural-networks-1902.09574</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-state-of-sparsity-in-deep-neural-networks-1902.09574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-state-of-sparsity-in-deep-neural-networks-1902.09574"/></url>
<url><loc>https://scifaro.com/en/abs/verification-of-non-linear-specifications-for-neural-networks-1902.09592</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/verification-of-non-linear-specifications-for-neural-networks-1902.09592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/verification-of-non-linear-specifications-for-neural-networks-1902.09592"/></url>
<url><loc>https://scifaro.com/en/abs/misgan-learning-from-incomplete-data-with-generative-adversarial-networks-1902.09599</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/misgan-learning-from-incomplete-data-with-generative-adversarial-networks-1902.09599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/misgan-learning-from-incomplete-data-with-generative-adversarial-networks-1902.09599"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-road-traffic-prediction-based-on-deep-cluster-at-large-scale-networks-1902.09601</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-road-traffic-prediction-based-on-deep-cluster-at-large-scale-networks-1902.09601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-road-traffic-prediction-based-on-deep-cluster-at-large-scale-networks-1902.09601"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-data-selection-techniques-with-tools-from-the-theory-of-information-losses-1902.09602</loc><lastmod>2022-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-data-selection-techniques-with-tools-from-the-theory-of-information-losses-1902.09602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-data-selection-techniques-with-tools-from-the-theory-of-information-losses-1902.09602"/></url>
<url><loc>https://scifaro.com/en/abs/nas-bench-101-towards-reproducible-neural-architecture-search-1902.09635</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nas-bench-101-towards-reproducible-neural-architecture-search-1902.09635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nas-bench-101-towards-reproducible-neural-architecture-search-1902.09635"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-prediction-of-multi-agent-interactions-from-partial-observations-1902.09641</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-prediction-of-multi-agent-interactions-from-partial-observations-1902.09641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-prediction-of-multi-agent-interactions-from-partial-observations-1902.09641"/></url>
<url><loc>https://scifaro.com/en/abs/gan-based-projector-for-faster-recovery-with-convergence-guarantees-in-linear-inverse-problems-1902.09698</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gan-based-projector-for-faster-recovery-with-convergence-guarantees-in-linear-inverse-problems-1902.09698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gan-based-projector-for-faster-recovery-with-convergence-guarantees-in-linear-inverse-problems-1902.09698"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-sample-hard-instances-for-graph-algorithms-1902.09700</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-sample-hard-instances-for-graph-algorithms-1902.09700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-sample-hard-instances-for-graph-algorithms-1902.09700"/></url>
<url><loc>https://scifaro.com/en/abs/learning-implicitly-recurrent-cnns-through-parameter-sharing-1902.09701</loc><lastmod>2019-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-implicitly-recurrent-cnns-through-parameter-sharing-1902.09701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-implicitly-recurrent-cnns-through-parameter-sharing-1902.09701"/></url>
<url><loc>https://scifaro.com/en/abs/topological-bayesian-optimization-with-persistence-diagrams-1902.09722</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-bayesian-optimization-with-persistence-diagrams-1902.09722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-bayesian-optimization-with-persistence-diagrams-1902.09722"/></url>
<url><loc>https://scifaro.com/en/abs/automated-model-selection-with-bayesian-quadrature-1902.09724</loc><lastmod>2019-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-model-selection-with-bayesian-quadrature-1902.09724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-model-selection-with-bayesian-quadrature-1902.09724"/></url>
<url><loc>https://scifaro.com/en/abs/functional-transparency-for-structured-data-a-game-theoretic-approach-1902.09737</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-transparency-for-structured-data-a-game-theoretic-approach-1902.09737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-transparency-for-structured-data-a-game-theoretic-approach-1902.09737"/></url>
<url><loc>https://scifaro.com/en/abs/deep-variational-koopman-models-inferring-koopman-observations-for-uncertainty-aware-dynamics-modeling-and-control-1902.09742</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-variational-koopman-models-inferring-koopman-observations-for-uncertainty-aware-dynamics-modeling-and-control-1902.09742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-variational-koopman-models-inferring-koopman-observations-for-uncertainty-aware-dynamics-modeling-and-control-1902.09742"/></url>
<url><loc>https://scifaro.com/en/abs/interaction-aware-factorization-machines-for-recommender-systems-1902.09757</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interaction-aware-factorization-machines-for-recommender-systems-1902.09757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interaction-aware-factorization-machines-for-recommender-systems-1902.09757"/></url>
<url><loc>https://scifaro.com/en/abs/logarithmic-regret-for-parameter-free-online-logistic-regression-1902.09803</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logarithmic-regret-for-parameter-free-online-logistic-regression-1902.09803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logarithmic-regret-for-parameter-free-online-logistic-regression-1902.09803"/></url>
<url><loc>https://scifaro.com/en/abs/gcn-lase-towards-adequately-incorporating-link-attributes-in-graph-convolutional-networks-1902.09817</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gcn-lase-towards-adequately-incorporating-link-attributes-in-graph-convolutional-networks-1902.09817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gcn-lase-towards-adequately-incorporating-link-attributes-in-graph-convolutional-networks-1902.09817"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-subject-independent-driving-manoeuvre-anticipation-through-domain-adversarial-recurrent-neural-networks-1902.09820</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-subject-independent-driving-manoeuvre-anticipation-through-domain-adversarial-recurrent-neural-networks-1902.09820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-subject-independent-driving-manoeuvre-anticipation-through-domain-adversarial-recurrent-neural-networks-1902.09820"/></url>
<url><loc>https://scifaro.com/en/abs/human-in-the-loop-active-covariance-learning-for-improving-prediction-in-small-data-sets-1902.09834</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-in-the-loop-active-covariance-learning-for-improving-prediction-in-small-data-sets-1902.09834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-in-the-loop-active-covariance-learning-for-improving-prediction-in-small-data-sets-1902.09834"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-gradient-methods-with-dynamic-bound-of-learning-rate-1902.09843</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-gradient-methods-with-dynamic-bound-of-learning-rate-1902.09843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-gradient-methods-with-dynamic-bound-of-learning-rate-1902.09843"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-dynamic-programming-with-neural-networks-in-linear-discrete-action-spaces-1902.09855</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-dynamic-programming-with-neural-networks-in-linear-discrete-action-spaces-1902.09855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-dynamic-programming-with-neural-networks-in-linear-discrete-action-spaces-1902.09855"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-deep-neural-networks-with-symbolic-propagation-towards-higher-precision-and-faster-verification-1902.09866</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-deep-neural-networks-with-symbolic-propagation-towards-higher-precision-and-faster-verification-1902.09866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-deep-neural-networks-with-symbolic-propagation-towards-higher-precision-and-faster-verification-1902.09866"/></url>
<url><loc>https://scifaro.com/en/abs/hexagan-generative-adversarial-nets-for-real-world-classification-1902.09913</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hexagan-generative-adversarial-nets-for-real-world-classification-1902.09913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hexagan-generative-adversarial-nets-for-real-world-classification-1902.09913"/></url>
<url><loc>https://scifaro.com/en/abs/learning-vertex-convolutional-networks-for-graph-classification-1902.09936</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-vertex-convolutional-networks-for-graph-classification-1902.09936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-vertex-convolutional-networks-for-graph-classification-1902.09936"/></url>
<url><loc>https://scifaro.com/en/abs/a-feature-selection-based-on-perturbation-theory-1902.09938</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-feature-selection-based-on-perturbation-theory-1902.09938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-feature-selection-based-on-perturbation-theory-1902.09938"/></url>
<url><loc>https://scifaro.com/en/abs/fused-lasso-for-feature-selection-using-structural-information-1902.09947</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fused-lasso-for-feature-selection-using-structural-information-1902.09947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fused-lasso-for-feature-selection-using-structural-information-1902.09947"/></url>
<url><loc>https://scifaro.com/en/abs/epileptic-seizure-classification-using-statistical-sampling-and-a-novel-feature-selection-algorithm-1902.09962</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/epileptic-seizure-classification-using-statistical-sampling-and-a-novel-feature-selection-algorithm-1902.09962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/epileptic-seizure-classification-using-statistical-sampling-and-a-novel-feature-selection-algorithm-1902.09962"/></url>
<url><loc>https://scifaro.com/en/abs/fully-distributed-bayesian-optimization-with-stochastic-policies-1902.09992</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-distributed-bayesian-optimization-with-stochastic-policies-1902.09992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-distributed-bayesian-optimization-with-stochastic-policies-1902.09992"/></url>
<url><loc>https://scifaro.com/en/abs/grammar-based-directed-testing-of-machine-learning-systems-1902.10027</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grammar-based-directed-testing-of-machine-learning-systems-1902.10027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grammar-based-directed-testing-of-machine-learning-systems-1902.10027"/></url>
<url><loc>https://scifaro.com/en/abs/performance-analysis-of-machine-learning-techniques-to-predict-diabetes-mellitus-1902.10028</loc><lastmod>2019-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-analysis-of-machine-learning-techniques-to-predict-diabetes-mellitus-1902.10028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-analysis-of-machine-learning-techniques-to-predict-diabetes-mellitus-1902.10028"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-processes-towards-bayesian-graph-neural-networks-1902.10042</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-processes-towards-bayesian-graph-neural-networks-1902.10042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-processes-towards-bayesian-graph-neural-networks-1902.10042"/></url>
<url><loc>https://scifaro.com/en/abs/perturbed-history-exploration-in-stochastic-multi-armed-bandits-1902.10089</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perturbed-history-exploration-in-stochastic-multi-armed-bandits-1902.10089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perturbed-history-exploration-in-stochastic-multi-armed-bandits-1902.10089"/></url>
<url><loc>https://scifaro.com/en/abs/quadratic-decomposable-submodular-function-minimization-theory-and-practice-computation-and-analysis-of-pagerank-over-hypergraphs-1902.10132</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quadratic-decomposable-submodular-function-minimization-theory-and-practice-computation-and-analysis-of-pagerank-over-hypergraphs-1902.10132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quadratic-decomposable-submodular-function-minimization-theory-and-practice-computation-and-analysis-of-pagerank-over-hypergraphs-1902.10132"/></url>
<url><loc>https://scifaro.com/en/abs/planning-in-hierarchical-reinforcement-learning-guarantees-for-using-local-policies-1902.10140</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/planning-in-hierarchical-reinforcement-learning-guarantees-for-using-local-policies-1902.10140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/planning-in-hierarchical-reinforcement-learning-guarantees-for-using-local-policies-1902.10140"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-approximation-via-compositions-1902.10170</loc><lastmod>2020-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-approximation-via-compositions-1902.10170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-approximation-via-compositions-1902.10170"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-algorithms-for-hard-submodular-programs-with-discounted-cooperative-costs-1902.10172</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-algorithms-for-hard-submodular-programs-with-discounted-cooperative-costs-1902.10172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-algorithms-for-hard-submodular-programs-with-discounted-cooperative-costs-1902.10172"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-continuous-ranked-probability-score-1902.10173</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-continuous-ranked-probability-score-1902.10173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-continuous-ranked-probability-score-1902.10173"/></url>
<url><loc>https://scifaro.com/en/abs/a-memoization-framework-for-scaling-submodular-optimization-to-large-scale-problems-1902.10176</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-memoization-framework-for-scaling-submodular-optimization-to-large-scale-problems-1902.10176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-memoization-framework-for-scaling-submodular-optimization-to-large-scale-problems-1902.10176"/></url>
<url><loc>https://scifaro.com/en/abs/evolvegcn-evolving-graph-convolutional-networks-for-dynamic-graphs-1902.10191</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolvegcn-evolving-graph-convolutional-networks-for-dynamic-graphs-1902.10191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolvegcn-evolving-graph-convolutional-networks-for-dynamic-graphs-1902.10191"/></url>
<url><loc>https://scifaro.com/en/abs/rotate-knowledge-graph-embedding-by-relational-rotation-in-complex-space-1902.10197</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rotate-knowledge-graph-embedding-by-relational-rotation-in-complex-space-1902.10197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rotate-knowledge-graph-embedding-by-relational-rotation-in-complex-space-1902.10197"/></url>
<url><loc>https://scifaro.com/en/abs/diagnosing-bottlenecks-in-deep-q-learning-algorithms-1902.10250</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diagnosing-bottlenecks-in-deep-q-learning-algorithms-1902.10250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diagnosing-bottlenecks-in-deep-q-learning-algorithms-1902.10250"/></url>
<url><loc>https://scifaro.com/en/abs/towards-efficient-data-valuation-based-on-the-shapley-value-1902.10275</loc><lastmod>2023-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-efficient-data-valuation-based-on-the-shapley-value-1902.10275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-efficient-data-valuation-based-on-the-shapley-value-1902.10275"/></url>
<url><loc>https://scifaro.com/en/abs/ordinal-distance-metric-learning-with-mds-for-image-ranking-1902.10284</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ordinal-distance-metric-learning-with-mds-for-image-ranking-1902.10284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ordinal-distance-metric-learning-with-mds-for-image-ranking-1902.10284"/></url>
<url><loc>https://scifaro.com/en/abs/representing-formal-languages-a-comparison-between-finite-automata-and-recurrent-neural-networks-1902.10297</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representing-formal-languages-a-comparison-between-finite-automata-and-recurrent-neural-networks-1902.10297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representing-formal-languages-a-comparison-between-finite-automata-and-recurrent-neural-networks-1902.10297"/></url>
<url><loc>https://scifaro.com/en/abs/anode-unconditionally-accurate-memory-efficient-gradients-for-neural-odes-1902.10298</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anode-unconditionally-accurate-memory-efficient-gradients-for-neural-odes-1902.10298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anode-unconditionally-accurate-memory-efficient-gradients-for-neural-odes-1902.10298"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-byzantine-tolerant-stochastic-gradient-descent-in-the-era-of-big-data-1902.10336</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-byzantine-tolerant-stochastic-gradient-descent-in-the-era-of-big-data-1902.10336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-byzantine-tolerant-stochastic-gradient-descent-in-the-era-of-big-data-1902.10336"/></url>
<url><loc>https://scifaro.com/en/abs/deeper-connections-between-neural-networks-and-gaussian-processes-speed-up-active-learning-1902.10350</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeper-connections-between-neural-networks-and-gaussian-processes-speed-up-active-learning-1902.10350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeper-connections-between-neural-networks-and-gaussian-processes-speed-up-active-learning-1902.10350"/></url>
<url><loc>https://scifaro.com/en/abs/a-distributionally-robust-optimization-method-for-adversarial-multiple-kernel-learning-1902.10365</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributionally-robust-optimization-method-for-adversarial-multiple-kernel-learning-1902.10365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributionally-robust-optimization-method-for-adversarial-multiple-kernel-learning-1902.10365"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-artificial-neural-network-complexity-a-case-study-on-exoplanet-detection-1902.10385</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-artificial-neural-network-complexity-a-case-study-on-exoplanet-detection-1902.10385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-artificial-neural-network-complexity-a-case-study-on-exoplanet-detection-1902.10385"/></url>
<url><loc>https://scifaro.com/en/abs/hypernetwork-functional-image-representation-1902.10404</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypernetwork-functional-image-representation-1902.10404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypernetwork-functional-image-representation-1902.10404"/></url>
<url><loc>https://scifaro.com/en/abs/provable-approximations-for-constrained-ell-p-regression-1902.10407</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-approximations-for-constrained-ell-p-regression-1902.10407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-approximations-for-constrained-ell-p-regression-1902.10407"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-with-weighted-inner-product-for-universal-approximation-of-general-similarities-1902.10409</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-with-weighted-inner-product-for-universal-approximation-of-general-similarities-1902.10409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-with-weighted-inner-product-for-universal-approximation-of-general-similarities-1902.10409"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-hedging-under-delayed-feedback-1902.10433</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-hedging-under-delayed-feedback-1902.10433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-hedging-under-delayed-feedback-1902.10433"/></url>
<url><loc>https://scifaro.com/en/abs/on-tiny-episodic-memories-in-continual-learning-1902.10486</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-tiny-episodic-memories-in-continual-learning-1902.10486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-tiny-episodic-memories-in-continual-learning-1902.10486"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-self-play-learning-in-go-1902.10565</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-self-play-learning-in-go-1902.10565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-self-play-learning-in-go-1902.10565"/></url>
<url><loc>https://scifaro.com/en/abs/trik-svm-an-alternative-decomposition-for-kernel-methods-in-krein-spaces-1902.10569</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trik-svm-an-alternative-decomposition-for-kernel-methods-in-krein-spaces-1902.10569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trik-svm-an-alternative-decomposition-for-kernel-methods-in-krein-spaces-1902.10569"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-edge-caching-via-reinforcement-learning-in-fog-radio-access-networks-1902.10574</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-edge-caching-via-reinforcement-learning-in-fog-radio-access-networks-1902.10574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-edge-caching-via-reinforcement-learning-in-fog-radio-access-networks-1902.10574"/></url>
<url><loc>https://scifaro.com/en/abs/polynomial-time-algorithms-for-multiple-arm-identification-with-full-bandit-feedback-1902.10582</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polynomial-time-algorithms-for-multiple-arm-identification-with-full-bandit-feedback-1902.10582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polynomial-time-algorithms-for-multiple-arm-identification-with-full-bandit-feedback-1902.10582"/></url>
<url><loc>https://scifaro.com/en/abs/alternating-synthetic-and-real-gradients-for-neural-language-modeling-1902.10630</loc><lastmod>2022-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternating-synthetic-and-real-gradients-for-neural-language-modeling-1902.10630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternating-synthetic-and-real-gradients-for-neural-language-modeling-1902.10630"/></url>
<url><loc>https://scifaro.com/en/abs/provable-guarantees-for-gradient-based-meta-learning-1902.10644</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-guarantees-for-gradient-based-meta-learning-1902.10644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-guarantees-for-gradient-based-meta-learning-1902.10644"/></url>
<url><loc>https://scifaro.com/en/abs/regularity-normalization-neuroscience-inspired-unsupervised-attention-across-neural-network-layers-1902.10658</loc><lastmod>2021-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularity-normalization-neuroscience-inspired-unsupervised-attention-across-neural-network-layers-1902.10658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularity-normalization-neuroscience-inspired-unsupervised-attention-across-neural-network-layers-1902.10658"/></url>
<url><loc>https://scifaro.com/en/abs/robust-decision-trees-against-adversarial-examples-1902.10660</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-decision-trees-against-adversarial-examples-1902.10660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-decision-trees-against-adversarial-examples-1902.10660"/></url>
<url><loc>https://scifaro.com/en/abs/local-function-complexity-for-active-learning-via-mixture-of-gaussian-processes-1902.10664</loc><lastmod>2023-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-function-complexity-for-active-learning-via-mixture-of-gaussian-processes-1902.10664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-function-complexity-for-active-learning-via-mixture-of-gaussian-processes-1902.10664"/></url>
<url><loc>https://scifaro.com/en/abs/improving-missing-data-imputation-with-deep-generative-models-1902.10666</loc><lastmod>2019-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-missing-data-imputation-with-deep-generative-models-1902.10666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-missing-data-imputation-with-deep-generative-models-1902.10666"/></url>
<url><loc>https://scifaro.com/en/abs/the-best-defense-is-a-good-offense-adversarial-attacks-to-avoid-modulation-detection-1902.10674</loc><lastmod>2020-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-best-defense-is-a-good-offense-adversarial-attacks-to-avoid-modulation-detection-1902.10674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-best-defense-is-a-good-offense-adversarial-attacks-to-avoid-modulation-detection-1902.10674"/></url>
<url><loc>https://scifaro.com/en/abs/integrated-analysis-of-the-urban-water-electricity-demand-nexus-in-the-midwestern-united-states-1902.10697</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrated-analysis-of-the-urban-water-electricity-demand-nexus-in-the-midwestern-united-states-1902.10697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrated-analysis-of-the-urban-water-electricity-demand-nexus-in-the-midwestern-united-states-1902.10697"/></url>
<url><loc>https://scifaro.com/en/abs/high-probability-generalization-bounds-for-uniformly-stable-algorithms-with-nearly-optimal-rate-1902.10710</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-probability-generalization-bounds-for-uniformly-stable-algorithms-with-nearly-optimal-rate-1902.10710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-probability-generalization-bounds-for-uniformly-stable-algorithms-with-nearly-optimal-rate-1902.10710"/></url>
<url><loc>https://scifaro.com/en/abs/private-center-points-and-learning-of-halfspaces-1902.10731</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-center-points-and-learning-of-halfspaces-1902.10731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-center-points-and-learning-of-halfspaces-1902.10731"/></url>
<url><loc>https://scifaro.com/en/abs/introspection-learning-1902.10754</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introspection-learning-1902.10754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introspection-learning-1902.10754"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-on-time-series-1902.10755</loc><lastmod>2019-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-on-time-series-1902.10755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-on-time-series-1902.10755"/></url>
<url><loc>https://scifaro.com/en/abs/insights-into-lstm-fully-convolutional-networks-for-time-series-classification-1902.10756</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/insights-into-lstm-fully-convolutional-networks-for-time-series-classification-1902.10756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/insights-into-lstm-fully-convolutional-networks-for-time-series-classification-1902.10756"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-dropout-for-robust-learning-1902.10758</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-dropout-for-robust-learning-1902.10758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-dropout-for-robust-learning-1902.10758"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-gans-to-infer-travel-modes-in-gps-trajectories-1902.10768</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-gans-to-infer-travel-modes-in-gps-trajectories-1902.10768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-gans-to-infer-travel-modes-in-gps-trajectories-1902.10768"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitz-adaptivity-with-multiple-learning-rates-in-online-learning-1902.10797</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitz-adaptivity-with-multiple-learning-rates-in-online-learning-1902.10797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitz-adaptivity-with-multiple-learning-rates-in-online-learning-1902.10797"/></url>
<url><loc>https://scifaro.com/en/abs/learning-logistic-circuits-1902.10798</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-logistic-circuits-1902.10798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-logistic-circuits-1902.10798"/></url>
<url><loc>https://scifaro.com/en/abs/financial-series-prediction-using-attention-lstm-1902.10877</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/financial-series-prediction-using-attention-lstm-1902.10877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/financial-series-prediction-using-attention-lstm-1902.10877"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-ml-solution-for-band-assignment-in-dual-band-systems-with-omnidirectional-and-directional-antennas-1902.10890</loc><lastmod>2022-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-ml-solution-for-band-assignment-in-dual-band-systems-with-omnidirectional-and-directional-antennas-1902.10890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-ml-solution-for-band-assignment-in-dual-band-systems-with-omnidirectional-and-directional-antennas-1902.10890"/></url>
<url><loc>https://scifaro.com/en/abs/meta-dynamic-pricing-transfer-learning-across-experiments-1902.10918</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-dynamic-pricing-transfer-learning-across-experiments-1902.10918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-dynamic-pricing-transfer-learning-across-experiments-1902.10918"/></url>
<url><loc>https://scifaro.com/en/abs/on-robustness-of-principal-component-regression-1902.10920</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-robustness-of-principal-component-regression-1902.10920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-robustness-of-principal-component-regression-1902.10920"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-evaluation-of-novelty-detection-algorithms-for-discrete-sequences-1902.10940</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-evaluation-of-novelty-detection-algorithms-for-discrete-sequences-1902.10940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-evaluation-of-novelty-detection-algorithms-for-discrete-sequences-1902.10940"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-adversarial-examples-systematically-exploring-data-size-task-and-model-factors-1902.11019</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-adversarial-examples-systematically-exploring-data-size-task-and-model-factors-1902.11019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-adversarial-examples-systematically-exploring-data-size-task-and-model-factors-1902.11019"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-the-robustness-of-deep-neural-networks-by-boundary-conditional-gan-1902.11029</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-the-robustness-of-deep-neural-networks-by-boundary-conditional-gan-1902.11029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-the-robustness-of-deep-neural-networks-by-boundary-conditional-gan-1902.11029"/></url>
<url><loc>https://scifaro.com/en/abs/safe-ml-surrogate-assisted-feature-extraction-for-model-learning-1902.11035</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-ml-surrogate-assisted-feature-extraction-for-model-learning-1902.11035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-ml-surrogate-assisted-feature-extraction-for-model-learning-1902.11035"/></url>
<url><loc>https://scifaro.com/en/abs/multi-stage-self-supervised-learning-for-graph-convolutional-networks-on-graphs-with-few-labels-1902.11038</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-stage-self-supervised-learning-for-graph-convolutional-networks-on-graphs-with-few-labels-1902.11038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-stage-self-supervised-learning-for-graph-convolutional-networks-on-graphs-with-few-labels-1902.11038"/></url>
<url><loc>https://scifaro.com/en/abs/virtual-adversarial-training-on-graph-convolutional-networks-in-node-classification-1902.11045</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/virtual-adversarial-training-on-graph-convolutional-networks-in-node-classification-1902.11045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/virtual-adversarial-training-on-graph-convolutional-networks-in-node-classification-1902.11045"/></url>
<url><loc>https://scifaro.com/en/abs/afs-an-attention-based-mechanism-for-supervised-feature-selection-1902.11074</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/afs-an-attention-based-mechanism-for-supervised-feature-selection-1902.11074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/afs-an-attention-based-mechanism-for-supervised-feature-selection-1902.11074"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-matters-in-deep-structured-prediction-models-1902.11088</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-matters-in-deep-structured-prediction-models-1902.11088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-matters-in-deep-structured-prediction-models-1902.11088"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-thompson-sampling-for-wireless-link-optimization-1902.11102</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-thompson-sampling-for-wireless-link-optimization-1902.11102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-thompson-sampling-for-wireless-link-optimization-1902.11102"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-federated-learning-1902.11175</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-federated-learning-1902.11175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-federated-learning-1902.11175"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-learning-with-sublinear-communication-1902.11259</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-learning-with-sublinear-communication-1902.11259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-learning-with-sublinear-communication-1902.11259"/></url>
<url><loc>https://scifaro.com/en/abs/noodl-provable-online-dictionary-learning-and-sparse-coding-1902.11261</loc><lastmod>2019-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noodl-provable-online-dictionary-learning-and-sparse-coding-1902.11261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noodl-provable-online-dictionary-learning-and-sparse-coding-1902.11261"/></url>
<url><loc>https://scifaro.com/en/abs/from-visual-to-acoustic-question-answering-1902.11280</loc><lastmod>2019-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-visual-to-acoustic-question-answering-1902.11280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-visual-to-acoustic-question-answering-1902.11280"/></url>
<url><loc>https://scifaro.com/en/abs/a-lattice-based-approach-to-the-expressivity-of-deep-relu-neural-networks-1902.11294</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-lattice-based-approach-to-the-expressivity-of-deep-relu-neural-networks-1902.11294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-lattice-based-approach-to-the-expressivity-of-deep-relu-neural-networks-1902.11294"/></url>
<url><loc>https://scifaro.com/en/abs/catalyst-rl-a-distributed-framework-for-reproducible-rl-research-1903.00027</loc><lastmod>2019-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/catalyst-rl-a-distributed-framework-for-reproducible-rl-research-1903.00027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/catalyst-rl-a-distributed-framework-for-reproducible-rl-research-1903.00027"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-plan-in-high-dimensions-via-neural-exploration-exploitation-trees-1903.00070</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-plan-in-high-dimensions-via-neural-exploration-exploitation-trees-1903.00070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-plan-in-high-dimensions-via-neural-exploration-exploitation-trees-1903.00070"/></url>
<url><loc>https://scifaro.com/en/abs/a-block-random-algorithm-for-learning-on-distributed-heterogeneous-data-1903.00091</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-block-random-algorithm-for-learning-on-distributed-heterogeneous-data-1903.00091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-block-random-algorithm-for-learning-on-distributed-heterogeneous-data-1903.00091"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-algorithms-for-ski-rental-with-soft-machine-learned-predictions-1903.00092</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-algorithms-for-ski-rental-with-soft-machine-learned-predictions-1903.00092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-algorithms-for-ski-rental-with-soft-machine-learned-predictions-1903.00092"/></url>
<url><loc>https://scifaro.com/en/abs/a-detailed-comparative-study-of-open-source-deep-learning-frameworks-1903.00102</loc><lastmod>2020-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-detailed-comparative-study-of-open-source-deep-learning-frameworks-1903.00102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-detailed-comparative-study-of-open-source-deep-learning-frameworks-1903.00102"/></url>
<url><loc>https://scifaro.com/en/abs/non-linear-ica-based-on-cramer-wold-metric-1903.00201</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-linear-ica-based-on-cramer-wold-metric-1903.00201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-linear-ica-based-on-cramer-wold-metric-1903.00201"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-integration-of-machine-learning-models-with-ease-ml-ci-towards-a-rigorous-yet-practical-treatment-1903.00278</loc><lastmod>2019-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-integration-of-machine-learning-models-with-ease-ml-ci-towards-a-rigorous-yet-practical-treatment-1903.00278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-integration-of-machine-learning-models-with-ease-ml-ci-towards-a-rigorous-yet-practical-treatment-1903.00278"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-usage-of-the-probability-integral-transform-to-reduce-the-complexity-of-multi-way-fuzzy-decision-trees-in-big-data-classification-problems-1903.00345</loc><lastmod>2019-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-usage-of-the-probability-integral-transform-to-reduce-the-complexity-of-multi-way-fuzzy-decision-trees-in-big-data-classification-problems-1903.00345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-usage-of-the-probability-integral-transform-to-reduce-the-complexity-of-multi-way-fuzzy-decision-trees-in-big-data-classification-problems-1903.00345"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-reinforcement-learning-for-atari-1903.00374</loc><lastmod>2024-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-for-atari-1903.00374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-for-atari-1903.00374"/></url>
<url><loc>https://scifaro.com/en/abs/improving-fraud-prediction-with-incremental-data-balancing-technique-for-massive-data-streams-1903.00410</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-fraud-prediction-with-incremental-data-balancing-technique-for-massive-data-streams-1903.00410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-fraud-prediction-with-incremental-data-balancing-technique-for-massive-data-streams-1903.00410"/></url>
<url><loc>https://scifaro.com/en/abs/multi-object-representation-learning-with-iterative-variational-inference-1903.00450</loc><lastmod>2020-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-object-representation-learning-with-iterative-variational-inference-1903.00450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-object-representation-learning-with-iterative-variational-inference-1903.00450"/></url>
<url><loc>https://scifaro.com/en/abs/aggregating-explanation-methods-for-stable-and-robust-explainability-1903.00519</loc><lastmod>2020-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregating-explanation-methods-for-stable-and-robust-explainability-1903.00519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregating-explanation-methods-for-stable-and-robust-explainability-1903.00519"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-bandits-with-relative-feedback-1903.00543</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-bandits-with-relative-feedback-1903.00543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-bandits-with-relative-feedback-1903.00543"/></url>
<url><loc>https://scifaro.com/en/abs/a-nonlinear-model-for-time-synchronization-1903.00545</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nonlinear-model-for-time-synchronization-1903.00545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nonlinear-model-for-time-synchronization-1903.00545"/></url>
<url><loc>https://scifaro.com/en/abs/from-pac-to-instance-optimal-sample-complexity-in-the-plackett-luce-model-1903.00558</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-pac-to-instance-optimal-sample-complexity-in-the-plackett-luce-model-1903.00558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-pac-to-instance-optimal-sample-complexity-in-the-plackett-luce-model-1903.00558"/></url>
<url><loc>https://scifaro.com/en/abs/jim-joint-influence-modeling-for-collective-search-behavior-1903.00562</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jim-joint-influence-modeling-for-collective-search-behavior-1903.00562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jim-joint-influence-modeling-for-collective-search-behavior-1903.00562"/></url>
<url><loc>https://scifaro.com/en/abs/puvae-a-variational-autoencoder-to-purify-adversarial-examples-1903.00585</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/puvae-a-variational-autoencoder-to-purify-adversarial-examples-1903.00585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/puvae-a-variational-autoencoder-to-purify-adversarial-examples-1903.00585"/></url>
<url><loc>https://scifaro.com/en/abs/gap-generalizable-approximate-graph-partitioning-framework-1903.00614</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gap-generalizable-approximate-graph-partitioning-framework-1903.00614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gap-generalizable-approximate-graph-partitioning-framework-1903.00614"/></url>
<url><loc>https://scifaro.com/en/abs/one-pass-incomplete-multi-view-clustering-1903.00637</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-pass-incomplete-multi-view-clustering-1903.00637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-pass-incomplete-multi-view-clustering-1903.00637"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-low-rank-relations-between-surrogate-tasks-in-structured-prediction-1903.00667</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-low-rank-relations-between-surrogate-tasks-in-structured-prediction-1903.00667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-low-rank-relations-between-surrogate-tasks-in-structured-prediction-1903.00667"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-via-nonconvex-regularization-convergence-of-the-proximal-gradient-algorithm-1903.00702</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-via-nonconvex-regularization-convergence-of-the-proximal-gradient-algorithm-1903.00702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-via-nonconvex-regularization-convergence-of-the-proximal-gradient-algorithm-1903.00702"/></url>
<url><loc>https://scifaro.com/en/abs/neuralrank-searching-and-ranking-ann-based-model-repositories-1903.00711</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuralrank-searching-and-ranking-ann-based-model-repositories-1903.00711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuralrank-searching-and-ranking-ann-based-model-repositories-1903.00711"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-reinforcement-learning-for-starcraft-by-abstract-forward-models-and-transfer-learning-1903.00715</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-reinforcement-learning-for-starcraft-by-abstract-forward-models-and-transfer-learning-1903.00715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-reinforcement-learning-for-starcraft-by-abstract-forward-models-and-transfer-learning-1903.00715"/></url>
<url><loc>https://scifaro.com/en/abs/fri-feature-relevance-intervals-for-interpretable-and-interactive-data-exploration-1903.00719</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fri-feature-relevance-intervals-for-interpretable-and-interactive-data-exploration-1903.00719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fri-feature-relevance-intervals-for-interpretable-and-interactive-data-exploration-1903.00719"/></url>
<url><loc>https://scifaro.com/en/abs/speech-recognition-with-no-speech-or-with-noisy-speech-1903.00739</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speech-recognition-with-no-speech-or-with-noisy-speech-1903.00739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speech-recognition-with-no-speech-or-with-noisy-speech-1903.00739"/></url>
<url><loc>https://scifaro.com/en/abs/automating-predictive-modeling-process-using-reinforcement-learning-1903.00743</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automating-predictive-modeling-process-using-reinforcement-learning-1903.00743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automating-predictive-modeling-process-using-reinforcement-learning-1903.00743"/></url>
<url><loc>https://scifaro.com/en/abs/equilibrated-recurrent-neural-network-neuronal-time-delayed-self-feedback-improves-accuracy-and-stability-1903.00755</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equilibrated-recurrent-neural-network-neuronal-time-delayed-self-feedback-improves-accuracy-and-stability-1903.00755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equilibrated-recurrent-neural-network-neuronal-time-delayed-self-feedback-improves-accuracy-and-stability-1903.00755"/></url>
<url><loc>https://scifaro.com/en/abs/graphvite-a-high-performance-cpu-gpu-hybrid-system-for-node-embedding-1903.00757</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphvite-a-high-performance-cpu-gpu-hybrid-system-for-node-embedding-1903.00757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphvite-a-high-performance-cpu-gpu-hybrid-system-for-node-embedding-1903.00757"/></url>
<url><loc>https://scifaro.com/en/abs/time-delay-momentum-a-regularization-perspective-on-the-convergence-and-generalization-of-stochastic-momentum-for-deep-learning-1903.00760</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-delay-momentum-a-regularization-perspective-on-the-convergence-and-generalization-of-stochastic-momentum-for-deep-learning-1903.00760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-delay-momentum-a-regularization-perspective-on-the-convergence-and-generalization-of-stochastic-momentum-for-deep-learning-1903.00760"/></url>
<url><loc>https://scifaro.com/en/abs/calibration-of-encoder-decoder-models-for-neural-machine-translation-1903.00802</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibration-of-encoder-decoder-models-for-neural-machine-translation-1903.00802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibration-of-encoder-decoder-models-for-neural-machine-translation-1903.00802"/></url>
<url><loc>https://scifaro.com/en/abs/stability-of-decision-trees-and-logistic-regression-1903.00816</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-of-decision-trees-and-logistic-regression-1903.00816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-of-decision-trees-and-logistic-regression-1903.00816"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-episodic-deep-deterministic-policy-gradient-towards-continuous-control-in-computationally-complex-environments-1903.00827</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-episodic-deep-deterministic-policy-gradient-towards-continuous-control-in-computationally-complex-environments-1903.00827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-episodic-deep-deterministic-policy-gradient-towards-continuous-control-in-computationally-complex-environments-1903.00827"/></url>
<url><loc>https://scifaro.com/en/abs/variational-auto-decoder-a-method-for-neural-generative-modeling-from-incomplete-data-1903.00840</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-auto-decoder-a-method-for-neural-generative-modeling-from-incomplete-data-1903.00840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-auto-decoder-a-method-for-neural-generative-modeling-from-incomplete-data-1903.00840"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-learning-for-regression-in-big-data-1903.00843</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-learning-for-regression-in-big-data-1903.00843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-learning-for-regression-in-big-data-1903.00843"/></url>
<url><loc>https://scifaro.com/en/abs/advae-a-self-adversarial-variational-autoencoder-with-gaussian-anomaly-prior-knowledge-for-anomaly-detection-1903.00904</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advae-a-self-adversarial-variational-autoencoder-with-gaussian-anomaly-prior-knowledge-for-anomaly-detection-1903.00904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advae-a-self-adversarial-variational-autoencoder-with-gaussian-anomaly-prior-knowledge-for-anomaly-detection-1903.00904"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-feature-selection-and-feature-memorization-in-recurrent-neural-networks-1903.00906</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-feature-selection-and-feature-memorization-in-recurrent-neural-networks-1903.00906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-feature-selection-and-feature-memorization-in-recurrent-neural-networks-1903.00906"/></url>
<url><loc>https://scifaro.com/en/abs/3d-graph-convolutional-networks-with-temporal-graphs-a-spatial-information-free-framework-for-traffic-forecasting-1903.00919</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/3d-graph-convolutional-networks-with-temporal-graphs-a-spatial-information-free-framework-for-traffic-forecasting-1903.00919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/3d-graph-convolutional-networks-with-temporal-graphs-a-spatial-information-free-framework-for-traffic-forecasting-1903.00919"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-training-of-deep-neural-networks-with-a-standardization-loss-1903.00925</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-training-of-deep-neural-networks-with-a-standardization-loss-1903.00925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-training-of-deep-neural-networks-with-a-standardization-loss-1903.00925"/></url>
<url><loc>https://scifaro.com/en/abs/hacking-google-recaptcha-v3-using-reinforcement-learning-1903.01003</loc><lastmod>2019-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hacking-google-recaptcha-v3-using-reinforcement-learning-1903.01003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hacking-google-recaptcha-v3-using-reinforcement-learning-1903.01003"/></url>
<url><loc>https://scifaro.com/en/abs/budgeted-reinforcement-learning-in-continuous-state-space-1903.01004</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/budgeted-reinforcement-learning-in-continuous-state-space-1903.01004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/budgeted-reinforcement-learning-in-continuous-state-space-1903.01004"/></url>
<url><loc>https://scifaro.com/en/abs/a-strongly-asymptotically-optimal-agent-in-general-environments-1903.01021</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-strongly-asymptotically-optimal-agent-in-general-environments-1903.01021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-strongly-asymptotically-optimal-agent-in-general-environments-1903.01021"/></url>
<url><loc>https://scifaro.com/en/abs/learning-modular-safe-policies-in-the-bandit-setting-with-application-to-adaptive-clinical-trials-1903.01026</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-modular-safe-policies-in-the-bandit-setting-with-application-to-adaptive-clinical-trials-1903.01026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-modular-safe-policies-in-the-bandit-setting-with-application-to-adaptive-clinical-trials-1903.01026"/></url>
<url><loc>https://scifaro.com/en/abs/a-fundamental-performance-limitation-for-adversarial-classification-1903.01032</loc><lastmod>2019-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fundamental-performance-limitation-for-adversarial-classification-1903.01032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fundamental-performance-limitation-for-adversarial-classification-1903.01032"/></url>
<url><loc>https://scifaro.com/en/abs/robust-commuter-movement-inference-from-connected-mobile-devices-1903.01045</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-commuter-movement-inference-from-connected-mobile-devices-1903.01045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-commuter-movement-inference-from-connected-mobile-devices-1903.01045"/></url>
<url><loc>https://scifaro.com/en/abs/ultra-scalable-spectral-clustering-and-ensemble-clustering-1903.01057</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ultra-scalable-spectral-clustering-and-ensemble-clustering-1903.01057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ultra-scalable-spectral-clustering-and-ensemble-clustering-1903.01057"/></url>
<url><loc>https://scifaro.com/en/abs/learning-low-precision-neural-networks-without-straight-through-estimator-ste-1903.01061</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-low-precision-neural-networks-without-straight-through-estimator-ste-1903.01061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-low-precision-neural-networks-without-straight-through-estimator-ste-1903.01061"/></url>
<url><loc>https://scifaro.com/en/abs/norml-no-reward-meta-learning-1903.01063</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/norml-no-reward-meta-learning-1903.01063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/norml-no-reward-meta-learning-1903.01063"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-trained-on-natural-scenes-exhibit-gestalt-closure-1903.01069</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-trained-on-natural-scenes-exhibit-gestalt-closure-1903.01069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-trained-on-natural-scenes-exhibit-gestalt-closure-1903.01069"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-online-learning-with-probabilistic-graph-feedback-1903.01083</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-online-learning-with-probabilistic-graph-feedback-1903.01083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-online-learning-with-probabilistic-graph-feedback-1903.01083"/></url>
<url><loc>https://scifaro.com/en/abs/binary-classifier-inspired-by-quantum-theory-1903.01167</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-classifier-inspired-by-quantum-theory-1903.01167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-classifier-inspired-by-quantum-theory-1903.01167"/></url>
<url><loc>https://scifaro.com/en/abs/complement-objective-training-1903.01182</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complement-objective-training-1903.01182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complement-objective-training-1903.01182"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-for-modelling-traffic-participant-interaction-1903.01254</loc><lastmod>2019-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-for-modelling-traffic-participant-interaction-1903.01254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-for-modelling-traffic-participant-interaction-1903.01254"/></url>
<url><loc>https://scifaro.com/en/abs/towards-structured-evaluation-of-deep-neural-network-supervisors-1903.01263</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-structured-evaluation-of-deep-neural-network-supervisors-1903.01263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-structured-evaluation-of-deep-neural-network-supervisors-1903.01263"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-graph-convolutional-neural-networks-with-edge-variant-recursions-on-graphs-1903.01298</loc><lastmod>2019-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-graph-convolutional-neural-networks-with-edge-variant-recursions-on-graphs-1903.01298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-graph-convolutional-neural-networks-with-edge-variant-recursions-on-graphs-1903.01298"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-actor-critic-reinforcement-learning-in-parameterized-action-space-1903.01344</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-actor-critic-reinforcement-learning-in-parameterized-action-space-1903.01344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-actor-critic-reinforcement-learning-in-parameterized-action-space-1903.01344"/></url>
<url><loc>https://scifaro.com/en/abs/joint-perception-and-control-as-inference-with-an-object-based-implementation-1903.01385</loc><lastmod>2020-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-perception-and-control-as-inference-with-an-object-based-implementation-1903.01385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-perception-and-control-as-inference-with-an-object-based-implementation-1903.01385"/></url>
<url><loc>https://scifaro.com/en/abs/making-the-dynamic-time-warping-distance-warping-invariant-1903.01454</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-the-dynamic-time-warping-distance-warping-invariant-1903.01454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-the-dynamic-time-warping-distance-warping-invariant-1903.01454"/></url>
<url><loc>https://scifaro.com/en/abs/hedging-the-drift-learning-to-optimize-under-non-stationarity-1903.01461</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hedging-the-drift-learning-to-optimize-under-non-stationarity-1903.01461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hedging-the-drift-learning-to-optimize-under-non-stationarity-1903.01461"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-winograd-or-cook-toom-convolution-kernel-implementation-on-widely-used-mobile-cpus-1903.01521</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-winograd-or-cook-toom-convolution-kernel-implementation-on-widely-used-mobile-cpus-1903.01521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-winograd-or-cook-toom-convolution-kernel-implementation-on-widely-used-mobile-cpus-1903.01521"/></url>
<url><loc>https://scifaro.com/en/abs/ternary-hybrid-neural-tree-networks-for-highly-constrained-iot-applications-1903.01531</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ternary-hybrid-neural-tree-networks-for-highly-constrained-iot-applications-1903.01531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ternary-hybrid-neural-tree-networks-for-highly-constrained-iot-applications-1903.01531"/></url>
<url><loc>https://scifaro.com/en/abs/mgpi-a-computational-model-of-multiagent-group-perception-and-interaction-1903.01537</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mgpi-a-computational-model-of-multiagent-group-perception-and-interaction-1903.01537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mgpi-a-computational-model-of-multiagent-group-perception-and-interaction-1903.01537"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-design-integration-of-topology-optimization-and-generative-models-1903.01548</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-design-integration-of-topology-optimization-and-generative-models-1903.01548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-design-integration-of-topology-optimization-and-generative-models-1903.01548"/></url>
<url><loc>https://scifaro.com/en/abs/model-primitive-hierarchical-lifelong-reinforcement-learning-1903.01567</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-primitive-hierarchical-lifelong-reinforcement-learning-1903.01567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-primitive-hierarchical-lifelong-reinforcement-learning-1903.01567"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-on-graph-data-deep-insights-into-attack-and-defense-1903.01610</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-on-graph-data-deep-insights-into-attack-and-defense-1903.01610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-on-graph-data-deep-insights-into-attack-and-defense-1903.01610"/></url>
<url><loc>https://scifaro.com/en/abs/stabilizing-the-lottery-ticket-hypothesis-1903.01611</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilizing-the-lottery-ticket-hypothesis-1903.01611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilizing-the-lottery-ticket-hypothesis-1903.01611"/></url>
<url><loc>https://scifaro.com/en/abs/what-to-expect-of-classifiers-reasoning-about-logistic-regression-with-missing-features-1903.01620</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-to-expect-of-classifiers-reasoning-about-logistic-regression-with-missing-features-1903.01620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-to-expect-of-classifiers-reasoning-about-logistic-regression-with-missing-features-1903.01620"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-batch-eigenupdates-for-hardware-neuromorphic-networks-1903.01635</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-batch-eigenupdates-for-hardware-neuromorphic-networks-1903.01635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-batch-eigenupdates-for-hardware-neuromorphic-networks-1903.01635"/></url>
<url><loc>https://scifaro.com/en/abs/online-data-poisoning-attack-1903.01666</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-data-poisoning-attack-1903.01666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-data-poisoning-attack-1903.01666"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-from-heterogeneous-nonstationary-data-with-independent-changes-1903.01672</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-from-heterogeneous-nonstationary-data-with-independent-changes-1903.01672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-from-heterogeneous-nonstationary-data-with-independent-changes-1903.01672"/></url>
<url><loc>https://scifaro.com/en/abs/two-stream-multi-channel-convolutional-neural-network-tm-cnn-for-multi-lane-traffic-speed-prediction-considering-traffic-volume-impact-1903.01678</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-stream-multi-channel-convolutional-neural-network-tm-cnn-for-multi-lane-traffic-speed-prediction-considering-traffic-volume-impact-1903.01678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-stream-multi-channel-convolutional-neural-network-tm-cnn-for-multi-lane-traffic-speed-prediction-considering-traffic-volume-impact-1903.01678"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-with-asymmetrically-relaxed-distribution-alignment-1903.01689</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-with-asymmetrically-relaxed-distribution-alignment-1903.01689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-with-asymmetrically-relaxed-distribution-alignment-1903.01689"/></url>
<url><loc>https://scifaro.com/en/abs/the-complexity-of-morality-checking-markov-blanket-consistency-with-dags-via-morality-1903.01707</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-complexity-of-morality-checking-markov-blanket-consistency-with-dags-via-morality-1903.01707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-complexity-of-morality-checking-markov-blanket-consistency-with-dags-via-morality-1903.01707"/></url>
<url><loc>https://scifaro.com/en/abs/l-1-norm-double-backpropagation-adversarial-defense-1903.01715</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l-1-norm-double-backpropagation-adversarial-defense-1903.01715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l-1-norm-double-backpropagation-adversarial-defense-1903.01715"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-modeling-for-novelty-detection-with-applications-to-fraud-identification-1903.01730</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-modeling-for-novelty-detection-with-applications-to-fraud-identification-1903.01730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-modeling-for-novelty-detection-with-applications-to-fraud-identification-1903.01730"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-efficient-approach-with-data-adaptive-capability-for-omp-based-sparse-subspace-clustering-1903.01734</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-efficient-approach-with-data-adaptive-capability-for-omp-based-sparse-subspace-clustering-1903.01734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-efficient-approach-with-data-adaptive-capability-for-omp-based-sparse-subspace-clustering-1903.01734"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-chinese-checkers-with-heuristics-monte-carlo-tree-search-and-deep-reinforcement-learning-1903.01747</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-chinese-checkers-with-heuristics-monte-carlo-tree-search-and-deep-reinforcement-learning-1903.01747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-chinese-checkers-with-heuristics-monte-carlo-tree-search-and-deep-reinforcement-learning-1903.01747"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-kernel-dictionary-learning-for-reconstruction-and-clustering-of-unseen-multivariate-time-series-1903.01867</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-kernel-dictionary-learning-for-reconstruction-and-clustering-of-unseen-multivariate-time-series-1903.01867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-kernel-dictionary-learning-for-reconstruction-and-clustering-of-unseen-multivariate-time-series-1903.01867"/></url>
<url><loc>https://scifaro.com/en/abs/copying-machine-learning-classifiers-1903.01879</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copying-machine-learning-classifiers-1903.01879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copying-machine-learning-classifiers-1903.01879"/></url>
<url><loc>https://scifaro.com/en/abs/gated-graph-convolutional-recurrent-neural-networks-1903.01888</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gated-graph-convolutional-recurrent-neural-networks-1903.01888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gated-graph-convolutional-recurrent-neural-networks-1903.01888"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-based-approach-to-vm-behavior-identification-in-cloud-systems-1903.01930</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-based-approach-to-vm-behavior-identification-in-cloud-systems-1903.01930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-based-approach-to-vm-behavior-identification-in-cloud-systems-1903.01930"/></url>
<url><loc>https://scifaro.com/en/abs/universal-approximations-of-permutation-invariant-equivariant-functions-by-deep-neural-networks-1903.01939</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-approximations-of-permutation-invariant-equivariant-functions-by-deep-neural-networks-1903.01939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-approximations-of-permutation-invariant-equivariant-functions-by-deep-neural-networks-1903.01939"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-nets-for-robust-scatter-estimation-a-proper-scoring-rule-perspective-1903.01944</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-nets-for-robust-scatter-estimation-a-proper-scoring-rule-perspective-1903.01944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-nets-for-robust-scatter-estimation-a-proper-scoring-rule-perspective-1903.01944"/></url>
<url><loc>https://scifaro.com/en/abs/pdp-a-general-neural-framework-for-learning-constraint-satisfaction-solvers-1903.01969</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pdp-a-general-neural-framework-for-learning-constraint-satisfaction-solvers-1903.01969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pdp-a-general-neural-framework-for-learning-constraint-satisfaction-solvers-1903.01969"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-guarantees-for-the-robustness-of-bayesian-neural-networks-1903.01980</loc><lastmod>2019-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-guarantees-for-the-robustness-of-bayesian-neural-networks-1903.01980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-guarantees-for-the-robustness-of-bayesian-neural-networks-1903.01980"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-regularization-in-over-parameterized-neural-networks-1903.01997</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-regularization-in-over-parameterized-neural-networks-1903.01997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-regularization-in-over-parameterized-neural-networks-1903.01997"/></url>
<url><loc>https://scifaro.com/en/abs/props-probabilistic-personalization-of-black-box-sequence-models-1903.02013</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/props-probabilistic-personalization-of-black-box-sequence-models-1903.02013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/props-probabilistic-personalization-of-black-box-sequence-models-1903.02013"/></url>
<url><loc>https://scifaro.com/en/abs/using-natural-language-for-reward-shaping-in-reinforcement-learning-1903.02020</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-natural-language-for-reward-shaping-in-reinforcement-learning-1903.02020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-natural-language-for-reward-shaping-in-reinforcement-learning-1903.02020"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-quantization-of-cellular-neural-networks-for-cyber-physical-systems-1903.02048</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-quantization-of-cellular-neural-networks-for-cyber-physical-systems-1903.02048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-quantization-of-cellular-neural-networks-for-cyber-physical-systems-1903.02048"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-the-evaluation-of-uncertainty-estimation-and-its-application-to-explore-model-complexity-uncertainty-trade-off-1903.02050</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-the-evaluation-of-uncertainty-estimation-and-its-application-to-explore-model-complexity-uncertainty-trade-off-1903.02050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-the-evaluation-of-uncertainty-estimation-and-its-application-to-explore-model-complexity-uncertainty-trade-off-1903.02050"/></url>
<url><loc>https://scifaro.com/en/abs/why-learning-of-large-scale-neural-networks-behaves-like-convex-optimization-1903.02140</loc><lastmod>2023-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-learning-of-large-scale-neural-networks-behaves-like-convex-optimization-1903.02140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-learning-of-large-scale-neural-networks-behaves-like-convex-optimization-1903.02140"/></url>
<url><loc>https://scifaro.com/en/abs/safeguarded-dynamic-label-regression-for-generalized-noisy-supervision-1903.02152</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safeguarded-dynamic-label-regression-for-generalized-noisy-supervision-1903.02152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safeguarded-dynamic-label-regression-for-generalized-noisy-supervision-1903.02152"/></url>
<url><loc>https://scifaro.com/en/abs/a-priori-estimates-of-the-population-risk-for-residual-networks-1903.02154</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-priori-estimates-of-the-population-risk-for-residual-networks-1903.02154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-priori-estimates-of-the-population-risk-for-residual-networks-1903.02154"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-few-shot-learning-with-prototypical-random-walks-1903.02164</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-few-shot-learning-with-prototypical-random-walks-1903.02164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-few-shot-learning-with-prototypical-random-walks-1903.02164"/></url>
<url><loc>https://scifaro.com/en/abs/representative-task-self-selection-for-flexible-clustered-lifelong-learning-1903.02173</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representative-task-self-selection-for-flexible-clustered-lifelong-learning-1903.02173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representative-task-self-selection-for-flexible-clustered-lifelong-learning-1903.02173"/></url>
<url><loc>https://scifaro.com/en/abs/positively-scale-invariant-flatness-of-relu-neural-networks-1903.02237</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/positively-scale-invariant-flatness-of-relu-neural-networks-1903.02237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/positively-scale-invariant-flatness-of-relu-neural-networks-1903.02237"/></url>
<url><loc>https://scifaro.com/en/abs/high-fidelity-image-generation-with-fewer-labels-1903.02271</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-fidelity-image-generation-with-fewer-labels-1903.02271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-fidelity-image-generation-with-fewer-labels-1903.02271"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-higher-layer-feature-visualizations-1903.02313</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-higher-layer-feature-visualizations-1903.02313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-higher-layer-feature-visualizations-1903.02313"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-overfitting-via-adversarial-examples-1903.02380</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-overfitting-via-adversarial-examples-1903.02380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-overfitting-via-adversarial-examples-1903.02380"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-anomalies-detected-by-autoencoders-using-shap-1903.02407</loc><lastmod>2020-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-anomalies-detected-by-autoencoders-using-shap-1903.02407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-anomalies-detected-by-autoencoders-using-shap-1903.02407"/></url>
<url><loc>https://scifaro.com/en/abs/fast-graph-representation-learning-with-pytorch-geometric-1903.02428</loc><lastmod>2019-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-graph-representation-learning-with-pytorch-geometric-1903.02428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-graph-representation-learning-with-pytorch-geometric-1903.02428"/></url>
<url><loc>https://scifaro.com/en/abs/lf-ppl-a-low-level-first-order-probabilistic-programming-language-for-non-differentiable-models-1903.02482</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lf-ppl-a-low-level-first-order-probabilistic-programming-language-for-non-differentiable-models-1903.02482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lf-ppl-a-low-level-first-order-probabilistic-programming-language-for-non-differentiable-models-1903.02482"/></url>
<url><loc>https://scifaro.com/en/abs/safety-guided-deep-reinforcement-learning-via-online-gaussian-process-estimation-1903.02526</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safety-guided-deep-reinforcement-learning-via-online-gaussian-process-estimation-1903.02526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safety-guided-deep-reinforcement-learning-via-online-gaussian-process-estimation-1903.02526"/></url>
<url><loc>https://scifaro.com/en/abs/autoregressive-convolutional-recurrent-neural-network-for-univariate-and-multivariate-time-series-prediction-1903.02540</loc><lastmod>2019-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoregressive-convolutional-recurrent-neural-network-for-univariate-and-multivariate-time-series-prediction-1903.02540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoregressive-convolutional-recurrent-neural-network-for-univariate-and-multivariate-time-series-prediction-1903.02540"/></url>
<url><loc>https://scifaro.com/en/abs/relational-pooling-for-graph-representations-1903.02541</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-pooling-for-graph-representations-1903.02541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-pooling-for-graph-representations-1903.02541"/></url>
<url><loc>https://scifaro.com/en/abs/gandef-a-gan-based-adversarial-training-defense-for-neural-network-classifier-1903.02585</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gandef-a-gan-based-adversarial-training-defense-for-neural-network-classifier-1903.02585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gandef-a-gan-based-adversarial-training-defense-for-neural-network-classifier-1903.02585"/></url>
<url><loc>https://scifaro.com/en/abs/mean-field-analysis-of-batch-normalization-1903.02606</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-field-analysis-of-batch-normalization-1903.02606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-field-analysis-of-batch-normalization-1903.02606"/></url>
<url><loc>https://scifaro.com/en/abs/generative-graph-convolutional-network-for-growing-graphs-1903.02640</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-graph-convolutional-network-for-growing-graphs-1903.02640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-graph-convolutional-network-for-growing-graphs-1903.02640"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-using-world-models-for-pseudo-rehearsal-1903.02647</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-using-world-models-for-pseudo-rehearsal-1903.02647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-using-world-models-for-pseudo-rehearsal-1903.02647"/></url>
<url><loc>https://scifaro.com/en/abs/fast-parallel-algorithms-for-statistical-subset-selection-problems-1903.02656</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-parallel-algorithms-for-statistical-subset-selection-problems-1903.02656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-parallel-algorithms-for-statistical-subset-selection-problems-1903.02656"/></url>
<url><loc>https://scifaro.com/en/abs/a-rank-1-sketch-for-matrix-multiplicative-weights-1903.02675</loc><lastmod>2019-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-rank-1-sketch-for-matrix-multiplicative-weights-1903.02675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-rank-1-sketch-for-matrix-multiplicative-weights-1903.02675"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-aligned-incomplete-multi-view-clustering-1903.02785</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-aligned-incomplete-multi-view-clustering-1903.02785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-aligned-incomplete-multi-view-clustering-1903.02785"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-deep-learning-in-drug-discovery-1903.02788</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-deep-learning-in-drug-discovery-1903.02788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-deep-learning-in-drug-discovery-1903.02788"/></url>
<url><loc>https://scifaro.com/en/abs/limiting-network-size-within-finite-bounds-for-optimization-1903.02809</loc><lastmod>2024-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limiting-network-size-within-finite-bounds-for-optimization-1903.02809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limiting-network-size-within-finite-bounds-for-optimization-1903.02809"/></url>
<url><loc>https://scifaro.com/en/abs/the-privacy-blanket-of-the-shuffle-model-1903.02837</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-privacy-blanket-of-the-shuffle-model-1903.02837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-privacy-blanket-of-the-shuffle-model-1903.02837"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-communication-efficient-federated-learning-from-non-iid-data-1903.02891</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-communication-efficient-federated-learning-from-non-iid-data-1903.02891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-communication-efficient-federated-learning-from-non-iid-data-1903.02891"/></url>
<url><loc>https://scifaro.com/en/abs/only-sparsity-based-loss-function-for-learning-representations-1903.02893</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/only-sparsity-based-loss-function-for-learning-representations-1903.02893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/only-sparsity-based-loss-function-for-learning-representations-1903.02893"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-out-domain-examples-for-generative-models-1903.02926</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-out-domain-examples-for-generative-models-1903.02926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-out-domain-examples-for-generative-models-1903.02926"/></url>
<url><loc>https://scifaro.com/en/abs/improving-generalization-of-deep-networks-for-inverse-reconstruction-of-image-sequences-1903.02948</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-generalization-of-deep-networks-for-inverse-reconstruction-of-image-sequences-1903.02948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-generalization-of-deep-networks-for-inverse-reconstruction-of-image-sequences-1903.02948"/></url>
<url><loc>https://scifaro.com/en/abs/the-variational-predictive-natural-gradient-1903.02984</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-variational-predictive-natural-gradient-1903.02984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-variational-predictive-natural-gradient-1903.02984"/></url>
<url><loc>https://scifaro.com/en/abs/provably-robust-blackbox-optimization-for-reinforcement-learning-1903.02993</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-robust-blackbox-optimization-for-reinforcement-learning-1903.02993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-robust-blackbox-optimization-for-reinforcement-learning-1903.02993"/></url>
<url><loc>https://scifaro.com/en/abs/performance-study-of-distributed-apriori-like-frequent-itemsets-mining-1903.03008</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-study-of-distributed-apriori-like-frequent-itemsets-mining-1903.03008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-study-of-distributed-apriori-like-frequent-itemsets-mining-1903.03008"/></url>
<url><loc>https://scifaro.com/en/abs/focused-quantization-for-sparse-cnns-1903.03046</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/focused-quantization-for-sparse-cnns-1903.03046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/focused-quantization-for-sparse-cnns-1903.03046"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-dictionary-learning-an-efficient-and-discriminative-solution-1903.03058</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-dictionary-learning-an-efficient-and-discriminative-solution-1903.03058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-dictionary-learning-an-efficient-and-discriminative-solution-1903.03058"/></url>
<url><loc>https://scifaro.com/en/abs/rloc-neurobiologically-inspired-hierarchical-reinforcement-learning-algorithm-for-continuous-control-of-nonlinear-dynamical-systems-1903.03064</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rloc-neurobiologically-inspired-hierarchical-reinforcement-learning-algorithm-for-continuous-control-of-nonlinear-dynamical-systems-1903.03064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rloc-neurobiologically-inspired-hierarchical-reinforcement-learning-algorithm-for-continuous-control-of-nonlinear-dynamical-systems-1903.03064"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-latent-semantic-analysis-1903.03082</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-latent-semantic-analysis-1903.03082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-latent-semantic-analysis-1903.03082"/></url>
<url><loc>https://scifaro.com/en/abs/self-tuning-networks-bilevel-optimization-of-hyperparameters-using-structured-best-response-functions-1903.03088</loc><lastmod>2019-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-tuning-networks-bilevel-optimization-of-hyperparameters-using-structured-best-response-functions-1903.03088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-tuning-networks-bilevel-optimization-of-hyperparameters-using-structured-best-response-functions-1903.03088"/></url>
<url><loc>https://scifaro.com/en/abs/meta-dataset-a-dataset-of-datasets-for-learning-to-learn-from-few-examples-1903.03096</loc><lastmod>2020-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-dataset-a-dataset-of-datasets-for-learning-to-learn-from-few-examples-1903.03096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-dataset-a-dataset-of-datasets-for-learning-to-learn-from-few-examples-1903.03096"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-inference-of-crowdsourcing-properties-when-using-efficient-allocation-strategies-1903.03104</loc><lastmod>2022-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-inference-of-crowdsourcing-properties-when-using-efficient-allocation-strategies-1903.03104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-inference-of-crowdsourcing-properties-when-using-efficient-allocation-strategies-1903.03104"/></url>
<url><loc>https://scifaro.com/en/abs/minatar-an-atari-inspired-testbed-for-thorough-and-reproducible-reinforcement-learning-experiments-1903.03176</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minatar-an-atari-inspired-testbed-for-thorough-and-reproducible-reinforcement-learning-experiments-1903.03176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minatar-an-atari-inspired-testbed-for-thorough-and-reproducible-reinforcement-learning-experiments-1903.03176"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-using-ensemble-neural-networks-for-organic-solar-cell-screening-1903.03178</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-using-ensemble-neural-networks-for-organic-solar-cell-screening-1903.03178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-using-ensemble-neural-networks-for-organic-solar-cell-screening-1903.03178"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hierarchical-teaching-policies-for-cooperative-agents-1903.03216</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hierarchical-teaching-policies-for-cooperative-agents-1903.03216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hierarchical-teaching-policies-for-cooperative-agents-1903.03216"/></url>
<url><loc>https://scifaro.com/en/abs/seizurenet-multi-spectral-deep-feature-learning-for-seizure-type-classification-1903.03232</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seizurenet-multi-spectral-deep-feature-learning-for-seizure-type-classification-1903.03232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seizurenet-multi-spectral-deep-feature-learning-for-seizure-type-classification-1903.03232"/></url>
<url><loc>https://scifaro.com/en/abs/dyna-ail-adversarial-imitation-learning-by-planning-1903.03234</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dyna-ail-adversarial-imitation-learning-by-planning-1903.03234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dyna-ail-adversarial-imitation-learning-by-planning-1903.03234"/></url>
<url><loc>https://scifaro.com/en/abs/learning-feature-relevance-through-step-size-adaptation-in-temporal-difference-learning-1903.03252</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-feature-relevance-through-step-size-adaptation-in-temporal-difference-learning-1903.03252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-feature-relevance-through-step-size-adaptation-in-temporal-difference-learning-1903.03252"/></url>
<url><loc>https://scifaro.com/en/abs/general-convolutional-sparse-coding-with-unknown-noise-1903.03253</loc><lastmod>2020-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-convolutional-sparse-coding-with-unknown-noise-1903.03253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-convolutional-sparse-coding-with-unknown-noise-1903.03253"/></url>
<url><loc>https://scifaro.com/en/abs/provable-tensor-ring-completion-1903.03315</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-tensor-ring-completion-1903.03315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-tensor-ring-completion-1903.03315"/></url>
<url><loc>https://scifaro.com/en/abs/do-we-still-need-fuzzy-classifiers-for-small-data-in-the-era-of-big-data-1903.03324</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-we-still-need-fuzzy-classifiers-for-small-data-in-the-era-of-big-data-1903.03324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-we-still-need-fuzzy-classifiers-for-small-data-in-the-era-of-big-data-1903.03324"/></url>
<url><loc>https://scifaro.com/en/abs/learning-heuristics-over-large-graphs-via-deep-reinforcement-learning-1903.03332</loc><lastmod>2020-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-heuristics-over-large-graphs-via-deep-reinforcement-learning-1903.03332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-heuristics-over-large-graphs-via-deep-reinforcement-learning-1903.03332"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-optimisation-solutions-for-travelling-officer-problem-with-customised-deep-learning-network-1903.03348</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-optimisation-solutions-for-travelling-officer-problem-with-customised-deep-learning-network-1903.03348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-optimisation-solutions-for-travelling-officer-problem-with-customised-deep-learning-network-1903.03348"/></url>
<url><loc>https://scifaro.com/en/abs/large-margin-multiple-kernel-learning-for-discriminative-features-selection-and-representation-learning-1903.03364</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-margin-multiple-kernel-learning-for-discriminative-features-selection-and-representation-learning-1903.03364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-margin-multiple-kernel-learning-for-discriminative-features-selection-and-representation-learning-1903.03364"/></url>
<url><loc>https://scifaro.com/en/abs/event-based-modeling-with-high-dimensional-imaging-biomarkers-for-estimating-spatial-progression-of-dementia-1903.03386</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/event-based-modeling-with-high-dimensional-imaging-biomarkers-for-estimating-spatial-progression-of-dementia-1903.03386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/event-based-modeling-with-high-dimensional-imaging-biomarkers-for-estimating-spatial-progression-of-dementia-1903.03386"/></url>
<url><loc>https://scifaro.com/en/abs/is-deeper-better-only-when-shallow-is-good-1903.03488</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-deeper-better-only-when-shallow-is-good-1903.03488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-deeper-better-only-when-shallow-is-good-1903.03488"/></url>
<url><loc>https://scifaro.com/en/abs/realizing-continual-learning-through-modeling-a-learning-system-as-a-fiber-bundle-1903.03511</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/realizing-continual-learning-through-modeling-a-learning-system-as-a-fiber-bundle-1903.03511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/realizing-continual-learning-through-modeling-a-learning-system-as-a-fiber-bundle-1903.03511"/></url>
<url><loc>https://scifaro.com/en/abs/agentbuddy-a-contextual-bandit-based-decision-support-system-for-customer-support-agents-1903.03512</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agentbuddy-a-contextual-bandit-based-decision-support-system-for-customer-support-agents-1903.03512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agentbuddy-a-contextual-bandit-based-decision-support-system-for-customer-support-agents-1903.03512"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-transfer-for-neural-architecture-optimization-1903.03536</loc><lastmod>2019-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-transfer-for-neural-architecture-optimization-1903.03536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-transfer-for-neural-architecture-optimization-1903.03536"/></url>
<url><loc>https://scifaro.com/en/abs/based-on-graph-vae-model-to-predict-student-s-score-1903.03609</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/based-on-graph-vae-model-to-predict-student-s-score-1903.03609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/based-on-graph-vae-model-to-predict-student-s-score-1903.03609"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-based-optimization-algorithms-for-deep-learning-models-training-1903.03614</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-based-optimization-algorithms-for-deep-learning-models-training-1903.03614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-based-optimization-algorithms-for-deep-learning-models-training-1903.03614"/></url>
<url><loc>https://scifaro.com/en/abs/improved-robustness-and-safety-for-autonomous-vehicle-control-with-adversarial-reinforcement-learning-1903.03642</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-robustness-and-safety-for-autonomous-vehicle-control-with-adversarial-reinforcement-learning-1903.03642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-robustness-and-safety-for-autonomous-vehicle-control-with-adversarial-reinforcement-learning-1903.03642"/></url>
<url><loc>https://scifaro.com/en/abs/lenses-and-learners-1903.03671</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lenses-and-learners-1903.03671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lenses-and-learners-1903.03671"/></url>
<url><loc>https://scifaro.com/en/abs/everything-old-is-new-again-a-multi-view-learning-approach-to-learning-using-privileged-information-and-distillation-1903.03694</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/everything-old-is-new-again-a-multi-view-learning-approach-to-learning-using-privileged-information-and-distillation-1903.03694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/everything-old-is-new-again-a-multi-view-learning-approach-to-learning-using-privileged-information-and-distillation-1903.03694"/></url>
<url><loc>https://scifaro.com/en/abs/skew-fit-state-covering-self-supervised-reinforcement-learning-1903.03698</loc><lastmod>2020-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skew-fit-state-covering-self-supervised-reinforcement-learning-1903.03698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skew-fit-state-covering-self-supervised-reinforcement-learning-1903.03698"/></url>
<url><loc>https://scifaro.com/en/abs/linear-bandits-with-feature-feedback-1903.03705</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-bandits-with-feature-feedback-1903.03705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-bandits-with-feature-feedback-1903.03705"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-power-system-emergency-control-using-deep-reinforcement-learning-1903.03712</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-power-system-emergency-control-using-deep-reinforcement-learning-1903.03712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-power-system-emergency-control-using-deep-reinforcement-learning-1903.03712"/></url>
<url><loc>https://scifaro.com/en/abs/learning-quantum-graphical-models-using-constrained-gradient-descent-on-the-stiefel-manifold-1903.03730</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-quantum-graphical-models-using-constrained-gradient-descent-on-the-stiefel-manifold-1903.03730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-quantum-graphical-models-using-constrained-gradient-descent-on-the-stiefel-manifold-1903.03730"/></url>
<url><loc>https://scifaro.com/en/abs/robust-influence-maximization-for-hyperparametric-models-1903.03746</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-influence-maximization-for-hyperparametric-models-1903.03746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-influence-maximization-for-hyperparametric-models-1903.03746"/></url>
<url><loc>https://scifaro.com/en/abs/two-hop-walks-indicate-pagerank-order-1903.03756</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-hop-walks-indicate-pagerank-order-1903.03756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-hop-walks-indicate-pagerank-order-1903.03756"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-based-prediction-and-classification-of-computational-jobs-in-cloud-computing-centers-1903.03759</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-based-prediction-and-classification-of-computational-jobs-in-cloud-computing-centers-1903.03759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-based-prediction-and-classification-of-computational-jobs-in-cloud-computing-centers-1903.03759"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-and-understanding-graph-convolutional-neural-network-using-gradient-based-attribution-method-1903.03768</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-and-understanding-graph-convolutional-neural-network-using-gradient-based-attribution-method-1903.03768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-and-understanding-graph-convolutional-neural-network-using-gradient-based-attribution-method-1903.03768"/></url>
<url><loc>https://scifaro.com/en/abs/successive-over-relaxation-q-learning-1903.03812</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/successive-over-relaxation-q-learning-1903.03812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/successive-over-relaxation-q-learning-1903.03812"/></url>
<url><loc>https://scifaro.com/en/abs/recovery-bounds-on-class-based-optimal-transport-a-sum-of-norms-regularization-framework-1903.03850</loc><lastmod>2023-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovery-bounds-on-class-based-optimal-transport-a-sum-of-norms-regularization-framework-1903.03850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovery-bounds-on-class-based-optimal-transport-a-sum-of-norms-regularization-framework-1903.03850"/></url>
<url><loc>https://scifaro.com/en/abs/scene-memory-transformer-for-embodied-agents-in-long-horizon-tasks-1903.03878</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scene-memory-transformer-for-embodied-agents-in-long-horizon-tasks-1903.03878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scene-memory-transformer-for-embodied-agents-in-long-horizon-tasks-1903.03878"/></url>
<url><loc>https://scifaro.com/en/abs/non-negative-kernel-sparse-coding-for-the-classification-of-motion-data-1903.03891</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-negative-kernel-sparse-coding-for-the-classification-of-motion-data-1903.03891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-negative-kernel-sparse-coding-for-the-classification-of-motion-data-1903.03891"/></url>
<url><loc>https://scifaro.com/en/abs/gnnexplainer-generating-explanations-for-graph-neural-networks-1903.03894</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gnnexplainer-generating-explanations-for-graph-neural-networks-1903.03894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gnnexplainer-generating-explanations-for-graph-neural-networks-1903.03894"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-for-robust-log-loss-classification-1903.03910</loc><lastmod>2020-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-for-robust-log-loss-classification-1903.03910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-for-robust-log-loss-classification-1903.03910"/></url>
<url><loc>https://scifaro.com/en/abs/fall-of-empires-breaking-byzantine-tolerant-sgd-by-inner-product-manipulation-1903.03936</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fall-of-empires-breaking-byzantine-tolerant-sgd-by-inner-product-manipulation-1903.03936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fall-of-empires-breaking-byzantine-tolerant-sgd-by-inner-product-manipulation-1903.03936"/></url>
<url><loc>https://scifaro.com/en/abs/multinomial-random-forest-toward-consistency-and-privacy-preservation-1903.04003</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multinomial-random-forest-toward-consistency-and-privacy-preservation-1903.04003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multinomial-random-forest-toward-consistency-and-privacy-preservation-1903.04003"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-collusion-free-teaching-1903.04012</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-collusion-free-teaching-1903.04012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-collusion-free-teaching-1903.04012"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-for-an-efficient-tensor-biclustering-1903.04042</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-an-efficient-tensor-biclustering-1903.04042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-an-efficient-tensor-biclustering-1903.04042"/></url>
<url><loc>https://scifaro.com/en/abs/one-pass-sparsified-gaussian-mixtures-1903.04056</loc><lastmod>2024-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-pass-sparsified-gaussian-mixtures-1903.04056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-pass-sparsified-gaussian-mixtures-1903.04056"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-learning-of-agent-rationality-in-two-player-zero-sum-games-1903.04101</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-learning-of-agent-rationality-in-two-player-zero-sum-games-1903.04101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-learning-of-agent-rationality-in-two-player-zero-sum-games-1903.04101"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-reinforcement-learning-with-expert-state-sequences-1903.04110</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-reinforcement-learning-with-expert-state-sequences-1903.04110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-reinforcement-learning-with-expert-state-sequences-1903.04110"/></url>
<url><loc>https://scifaro.com/en/abs/fisher-bures-adversary-graph-convolutional-networks-1903.04154</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fisher-bures-adversary-graph-convolutional-networks-1903.04154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fisher-bures-adversary-graph-convolutional-networks-1903.04154"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-minibatch-stochastic-gradient-descent-using-typicality-sampling-1903.04192</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-minibatch-stochastic-gradient-descent-using-typicality-sampling-1903.04192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-minibatch-stochastic-gradient-descent-using-typicality-sampling-1903.04192"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-model-free-reinforcement-learning-with-off-policy-critics-1903.04193</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-model-free-reinforcement-learning-with-off-policy-critics-1903.04193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-model-free-reinforcement-learning-with-off-policy-critics-1903.04193"/></url>
<url><loc>https://scifaro.com/en/abs/inceptiongcn-receptive-field-aware-graph-convolutional-network-for-disease-prediction-1903.04233</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inceptiongcn-receptive-field-aware-graph-convolutional-network-for-disease-prediction-1903.04233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inceptiongcn-receptive-field-aware-graph-convolutional-network-for-disease-prediction-1903.04233"/></url>
<url><loc>https://scifaro.com/en/abs/similarity-learning-via-kernel-preserving-embedding-1903.04235</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/similarity-learning-via-kernel-preserving-embedding-1903.04235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/similarity-learning-via-kernel-preserving-embedding-1903.04235"/></url>
<url><loc>https://scifaro.com/en/abs/a-cooperative-game-for-automated-learning-of-elasto-plasticity-knowledge-graphs-and-models-with-ai-guided-experimentation-1903.04307</loc><lastmod>2020-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-cooperative-game-for-automated-learning-of-elasto-plasticity-knowledge-graphs-and-models-with-ai-guided-experimentation-1903.04307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-cooperative-game-for-automated-learning-of-elasto-plasticity-knowledge-graphs-and-models-with-ai-guided-experimentation-1903.04307"/></url>
<url><loc>https://scifaro.com/en/abs/deep-recurrent-q-learning-vs-deep-q-learning-on-a-simple-partially-observable-markov-decision-process-with-minecraft-1903.04311</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-recurrent-q-learning-vs-deep-q-learning-on-a-simple-partially-observable-markov-decision-process-with-minecraft-1903.04311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-recurrent-q-learning-vs-deep-q-learning-on-a-simple-partially-observable-markov-decision-process-with-minecraft-1903.04311"/></url>
<url><loc>https://scifaro.com/en/abs/labeler-hot-detection-of-eeg-epileptic-transients-1903.04337</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/labeler-hot-detection-of-eeg-epileptic-transients-1903.04337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/labeler-hot-detection-of-eeg-epileptic-transients-1903.04337"/></url>
<url><loc>https://scifaro.com/en/abs/sleepnet-automated-sleep-analysis-via-dense-convolutional-neural-network-using-physiological-time-series-1903.04377</loc><lastmod>2019-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sleepnet-automated-sleep-analysis-via-dense-convolutional-neural-network-using-physiological-time-series-1903.04377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sleepnet-automated-sleep-analysis-via-dense-convolutional-neural-network-using-physiological-time-series-1903.04377"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-molecular-design-a-review-of-the-state-of-the-art-1903.04388</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-molecular-design-a-review-of-the-state-of-the-art-1903.04388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-molecular-design-a-review-of-the-state-of-the-art-1903.04388"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-deep-neural-networks-a-capacity-allocation-perspective-1903.04455</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-deep-neural-networks-a-capacity-allocation-perspective-1903.04455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-deep-neural-networks-a-capacity-allocation-perspective-1903.04455"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-via-neural-pruning-1903.04476</loc><lastmod>2019-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-via-neural-pruning-1903.04476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-via-neural-pruning-1903.04476"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-clustering-as-matrix-factorisation-on-the-stiefel-manifold-1903.04479</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-clustering-as-matrix-factorisation-on-the-stiefel-manifold-1903.04479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-clustering-as-matrix-factorisation-on-the-stiefel-manifold-1903.04479"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-distributed-sgd-with-sketching-1903.04488</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-distributed-sgd-with-sketching-1903.04488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-distributed-sgd-with-sketching-1903.04488"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-deep-reinforcement-learning-for-large-scale-traffic-signal-control-1903.04527</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-deep-reinforcement-learning-for-large-scale-traffic-signal-control-1903.04527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-deep-reinforcement-learning-for-large-scale-traffic-signal-control-1903.04527"/></url>
<url><loc>https://scifaro.com/en/abs/embarrassingly-parallel-mcmc-using-deep-invertible-transformations-1903.04556</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embarrassingly-parallel-mcmc-using-deep-invertible-transformations-1903.04556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embarrassingly-parallel-mcmc-using-deep-invertible-transformations-1903.04556"/></url>
<url><loc>https://scifaro.com/en/abs/nuanced-metrics-for-measuring-unintended-bias-with-real-data-for-text-classification-1903.04561</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nuanced-metrics-for-measuring-unintended-bias-with-real-data-for-text-classification-1903.04561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nuanced-metrics-for-measuring-unintended-bias-with-real-data-for-text-classification-1903.04561"/></url>
<url><loc>https://scifaro.com/en/abs/complementary-learning-for-overcoming-catastrophic-forgetting-using-experience-replay-1903.04566</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complementary-learning-for-overcoming-catastrophic-forgetting-using-experience-replay-1903.04566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complementary-learning-for-overcoming-catastrophic-forgetting-using-experience-replay-1903.04566"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-drug-drug-interactions-using-artificial-neural-networks-and-classic-graph-similarity-measures-1903.04571</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-drug-drug-interactions-using-artificial-neural-networks-and-classic-graph-similarity-measures-1903.04571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-drug-drug-interactions-using-artificial-neural-networks-and-classic-graph-similarity-measures-1903.04571"/></url>
<url><loc>https://scifaro.com/en/abs/graph-colouring-meets-deep-learning-effective-graph-neural-network-models-for-combinatorial-problems-1903.04598</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-colouring-meets-deep-learning-effective-graph-neural-network-models-for-combinatorial-problems-1903.04598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-colouring-meets-deep-learning-effective-graph-neural-network-models-for-combinatorial-problems-1903.04598"/></url>
<url><loc>https://scifaro.com/en/abs/financial-trading-model-with-stock-bar-chart-image-time-series-with-deep-convolutional-neural-networks-1903.04610</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/financial-trading-model-with-stock-bar-chart-image-time-series-with-deep-convolutional-neural-networks-1903.04610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/financial-trading-model-with-stock-bar-chart-image-time-series-with-deep-convolutional-neural-networks-1903.04610"/></url>
<url><loc>https://scifaro.com/en/abs/learning-edge-properties-in-graphs-from-path-aggregations-1903.04613</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-edge-properties-in-graphs-from-path-aggregations-1903.04613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-edge-properties-in-graphs-from-path-aggregations-1903.04613"/></url>
<url><loc>https://scifaro.com/en/abs/deep-log-likelihood-ratio-quantization-1903.04656</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-log-likelihood-ratio-quantization-1903.04656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-log-likelihood-ratio-quantization-1903.04656"/></url>
<url><loc>https://scifaro.com/en/abs/practical-multi-fidelity-bayesian-optimization-for-hyperparameter-tuning-1903.04703</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-multi-fidelity-bayesian-optimization-for-hyperparameter-tuning-1903.04703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-multi-fidelity-bayesian-optimization-for-hyperparameter-tuning-1903.04703"/></url>
<url><loc>https://scifaro.com/en/abs/imitation-learning-of-factored-multi-agent-reactive-models-1903.04714</loc><lastmod>2020-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitation-learning-of-factored-multi-agent-reactive-models-1903.04714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitation-learning-of-factored-multi-agent-reactive-models-1903.04714"/></url>
<url><loc>https://scifaro.com/en/abs/activation-analysis-of-a-byte-based-deep-neural-network-for-malware-classification-1903.04717</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/activation-analysis-of-a-byte-based-deep-neural-network-for-malware-classification-1903.04717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/activation-analysis-of-a-byte-based-deep-neural-network-for-malware-classification-1903.04717"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-tensor-grid-for-image-completion-1903.04735</loc><lastmod>2020-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-tensor-grid-for-image-completion-1903.04735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-tensor-grid-for-image-completion-1903.04735"/></url>
<url><loc>https://scifaro.com/en/abs/open-set-recognition-using-intra-class-splitting-1903.04774</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-set-recognition-using-intra-class-splitting-1903.04774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-set-recognition-using-intra-class-splitting-1903.04774"/></url>
<url><loc>https://scifaro.com/en/abs/online-human-activity-recognition-employing-hierarchical-hidden-markov-models-1903.04820</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-human-activity-recognition-employing-hierarchical-hidden-markov-models-1903.04820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-human-activity-recognition-employing-hierarchical-hidden-markov-models-1903.04820"/></url>
<url><loc>https://scifaro.com/en/abs/learning-condensed-and-aligned-features-for-unsupervised-domain-adaptation-using-label-propagation-1903.04860</loc><lastmod>2019-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-condensed-and-aligned-features-for-unsupervised-domain-adaptation-using-label-propagation-1903.04860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-condensed-and-aligned-features-for-unsupervised-domain-adaptation-using-label-propagation-1903.04860"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multi-agent-reinforcement-learning-with-discrete-continuous-hybrid-action-spaces-1903.04959</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multi-agent-reinforcement-learning-with-discrete-continuous-hybrid-action-spaces-1903.04959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multi-agent-reinforcement-learning-with-discrete-continuous-hybrid-action-spaces-1903.04959"/></url>
<url><loc>https://scifaro.com/en/abs/a-capsule-unified-framework-of-deep-neural-networks-for-graphical-programming-1903.04982</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-capsule-unified-framework-of-deep-neural-networks-for-graphical-programming-1903.04982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-capsule-unified-framework-of-deep-neural-networks-for-graphical-programming-1903.04982"/></url>
<url><loc>https://scifaro.com/en/abs/theory-iii-dynamics-and-generalization-in-deep-networks-1903.04991</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-iii-dynamics-and-generalization-in-deep-networks-1903.04991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-iii-dynamics-and-generalization-in-deep-networks-1903.04991"/></url>
<url><loc>https://scifaro.com/en/abs/generating-compact-geometric-track-maps-for-train-positioning-applications-1903.05014</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-compact-geometric-track-maps-for-train-positioning-applications-1903.05014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-compact-geometric-track-maps-for-train-positioning-applications-1903.05014"/></url>
<url><loc>https://scifaro.com/en/abs/duration-of-stay-storage-assignment-under-uncertainty-1903.05063</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/duration-of-stay-storage-assignment-under-uncertainty-1903.05063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/duration-of-stay-storage-assignment-under-uncertainty-1903.05063"/></url>
<url><loc>https://scifaro.com/en/abs/decay-replay-mining-to-predict-next-process-events-1903.05084</loc><lastmod>2020-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decay-replay-mining-to-predict-next-process-events-1903.05084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decay-replay-mining-to-predict-next-process-events-1903.05084"/></url>
<url><loc>https://scifaro.com/en/abs/a-distributed-hierarchical-sgd-algorithm-with-sparse-global-reduction-1903.05133</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributed-hierarchical-sgd-algorithm-with-sparse-global-reduction-1903.05133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributed-hierarchical-sgd-algorithm-with-sparse-global-reduction-1903.05133"/></url>
<url><loc>https://scifaro.com/en/abs/a-sequential-set-generation-method-for-predicting-set-valued-outputs-1903.05153</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sequential-set-generation-method-for-predicting-set-valued-outputs-1903.05153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sequential-set-generation-method-for-predicting-set-valued-outputs-1903.05153"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-pitfalls-of-measuring-emergent-communication-1903.05168</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-pitfalls-of-measuring-emergent-communication-1903.05168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-pitfalls-of-measuring-emergent-communication-1903.05168"/></url>
<url><loc>https://scifaro.com/en/abs/richness-of-deep-echo-state-network-dynamics-1903.05174</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/richness-of-deep-echo-state-network-dynamics-1903.05174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/richness-of-deep-echo-state-network-dynamics-1903.05174"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-reuse-in-pipeline-aware-hyperparameter-tuning-1903.05176</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-reuse-in-pipeline-aware-hyperparameter-tuning-1903.05176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-reuse-in-pipeline-aware-hyperparameter-tuning-1903.05176"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-reinforcement-learning-for-autonomous-building-energy-management-1903.05196</loc><lastmod>2019-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-reinforcement-learning-for-autonomous-building-energy-management-1903.05196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-reinforcement-learning-for-autonomous-building-energy-management-1903.05196"/></url>
<url><loc>https://scifaro.com/en/abs/learning-gaussian-policies-from-corrective-human-feedback-1903.05216</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-gaussian-policies-from-corrective-human-feedback-1903.05216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-gaussian-policies-from-corrective-human-feedback-1903.05216"/></url>
<url><loc>https://scifaro.com/en/abs/confident-kernel-sparse-coding-and-dictionary-learning-1903.05219</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confident-kernel-sparse-coding-and-dictionary-learning-1903.05219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confident-kernel-sparse-coding-and-dictionary-learning-1903.05219"/></url>
<url><loc>https://scifaro.com/en/abs/non-negative-local-sparse-coding-for-subspace-clustering-1903.05239</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-negative-local-sparse-coding-for-subspace-clustering-1903.05239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-negative-local-sparse-coding-for-subspace-clustering-1903.05239"/></url>
<url><loc>https://scifaro.com/en/abs/automl-neurips-2018-challenge-design-and-results-1903.05263</loc><lastmod>2019-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automl-neurips-2018-challenge-design-and-results-1903.05263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automl-neurips-2018-challenge-design-and-results-1903.05263"/></url>
<url><loc>https://scifaro.com/en/abs/task-oriented-design-through-deep-reinforcement-learning-1903.05271</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-oriented-design-through-deep-reinforcement-learning-1903.05271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-oriented-design-through-deep-reinforcement-learning-1903.05271"/></url>
<url><loc>https://scifaro.com/en/abs/augment-reinforce-merge-policy-gradient-for-binary-stochastic-policy-1903.05284</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augment-reinforce-merge-policy-gradient-for-binary-stochastic-policy-1903.05284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augment-reinforce-merge-policy-gradient-for-binary-stochastic-policy-1903.05284"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-domain-adaptation-based-on-attribute-information-1903.05312</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-domain-adaptation-based-on-attribute-information-1903.05312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-domain-adaptation-based-on-attribute-information-1903.05312"/></url>
<url><loc>https://scifaro.com/en/abs/deepcount-crowd-counting-with-wifi-via-deep-learning-1903.05316</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepcount-crowd-counting-with-wifi-via-deep-learning-1903.05316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepcount-crowd-counting-with-wifi-via-deep-learning-1903.05316"/></url>
<url><loc>https://scifaro.com/en/abs/what-relations-are-reliably-embeddable-in-euclidean-space-1903.05347</loc><lastmod>2023-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-relations-are-reliably-embeddable-in-euclidean-space-1903.05347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-relations-are-reliably-embeddable-in-euclidean-space-1903.05347"/></url>
<url><loc>https://scifaro.com/en/abs/personal-dynamic-cost-aware-sensing-for-latent-context-detection-1903.05376</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personal-dynamic-cost-aware-sensing-for-latent-context-detection-1903.05376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personal-dynamic-cost-aware-sensing-for-latent-context-detection-1903.05376"/></url>
<url><loc>https://scifaro.com/en/abs/online-budgeted-learning-for-classifier-induction-1903.05382</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-budgeted-learning-for-classifier-induction-1903.05382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-budgeted-learning-for-classifier-induction-1903.05382"/></url>
<url><loc>https://scifaro.com/en/abs/deepobs-a-deep-learning-optimizer-benchmark-suite-1903.05499</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepobs-a-deep-learning-optimizer-benchmark-suite-1903.05499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepobs-a-deep-learning-optimizer-benchmark-suite-1903.05499"/></url>
<url><loc>https://scifaro.com/en/abs/improving-transparency-of-deep-neural-inference-process-1903.05501</loc><lastmod>2019-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-transparency-of-deep-neural-inference-process-1903.05501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-transparency-of-deep-neural-inference-process-1903.05501"/></url>
<url><loc>https://scifaro.com/en/abs/st-unet-a-spatio-temporal-u-network-for-graph-structured-time-series-modeling-1903.05631</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/st-unet-a-spatio-temporal-u-network-for-graph-structured-time-series-modeling-1903.05631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/st-unet-a-spatio-temporal-u-network-for-graph-structured-time-series-modeling-1903.05631"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-straight-through-estimator-in-training-activation-quantized-neural-nets-1903.05662</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-straight-through-estimator-in-training-activation-quantized-neural-nets-1903.05662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-straight-through-estimator-in-training-activation-quantized-neural-nets-1903.05662"/></url>
<url><loc>https://scifaro.com/en/abs/fuzzy-rough-set-feature-selection-to-enhance-phishing-attack-detection-1903.05675</loc><lastmod>2019-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fuzzy-rough-set-feature-selection-to-enhance-phishing-attack-detection-1903.05675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fuzzy-rough-set-feature-selection-to-enhance-phishing-attack-detection-1903.05675"/></url>
<url><loc>https://scifaro.com/en/abs/improving-prostate-cancer-detection-with-breast-histopathology-images-1903.05769</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-prostate-cancer-detection-with-breast-histopathology-images-1903.05769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-prostate-cancer-detection-with-breast-histopathology-images-1903.05769"/></url>
<url><loc>https://scifaro.com/en/abs/functional-variational-bayesian-neural-networks-1903.05779</loc><lastmod>2019-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-variational-bayesian-neural-networks-1903.05779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-variational-bayesian-neural-networks-1903.05779"/></url>
<url><loc>https://scifaro.com/en/abs/diagnosing-and-enhancing-vae-models-1903.05789</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diagnosing-and-enhancing-vae-models-1903.05789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diagnosing-and-enhancing-vae-models-1903.05789"/></url>
<url><loc>https://scifaro.com/en/abs/on-applications-of-bootstrap-in-continuous-space-reinforcement-learning-1903.05803</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-applications-of-bootstrap-in-continuous-space-reinforcement-learning-1903.05803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-applications-of-bootstrap-in-continuous-space-reinforcement-learning-1903.05803"/></url>
<url><loc>https://scifaro.com/en/abs/attribution-driven-causal-analysis-for-detection-of-adversarial-examples-1903.05821</loc><lastmod>2019-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attribution-driven-causal-analysis-for-detection-of-adversarial-examples-1903.05821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attribution-driven-causal-analysis-for-detection-of-adversarial-examples-1903.05821"/></url>
<url><loc>https://scifaro.com/en/abs/learning-fast-algorithms-for-linear-transforms-using-butterfly-factorizations-1903.05895</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-fast-algorithms-for-linear-transforms-using-butterfly-factorizations-1903.05895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-fast-algorithms-for-linear-transforms-using-butterfly-factorizations-1903.05895"/></url>
<url><loc>https://scifaro.com/en/abs/high-throughput-cnn-inference-on-embedded-arm-big-little-multi-core-processors-1903.05898</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-throughput-cnn-inference-on-embedded-arm-big-little-multi-core-processors-1903.05898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-throughput-cnn-inference-on-embedded-arm-big-little-multi-core-processors-1903.05898"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-dynamic-boltzmann-softmax-updates-1903.05926</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-dynamic-boltzmann-softmax-updates-1903.05926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-dynamic-boltzmann-softmax-updates-1903.05926"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-kernel-learning-for-graph-based-clustering-1903.05962</loc><lastmod>2019-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-kernel-learning-for-graph-based-clustering-1903.05962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-kernel-learning-for-graph-based-clustering-1903.05962"/></url>
<url><loc>https://scifaro.com/en/abs/rectified-decision-trees-towards-interpretability-compression-and-empirical-soundness-1903.05965</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rectified-decision-trees-towards-interpretability-compression-and-empirical-soundness-1903.05965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rectified-decision-trees-towards-interpretability-compression-and-empirical-soundness-1903.05965"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-personalized-bayesian-embeddings-for-learning-from-heterogeneous-demonstration-1903.06047</loc><lastmod>2019-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-personalized-bayesian-embeddings-for-learning-from-heterogeneous-demonstration-1903.06047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-personalized-bayesian-embeddings-for-learning-from-heterogeneous-demonstration-1903.06047"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-beams-and-where-to-find-them-the-gumbel-top-k-trick-for-sampling-sequences-without-replacement-1903.06059</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-beams-and-where-to-find-them-the-gumbel-top-k-trick-for-sampling-sequences-without-replacement-1903.06059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-beams-and-where-to-find-them-the-gumbel-top-k-trick-for-sampling-sequences-without-replacement-1903.06059"/></url>
<url><loc>https://scifaro.com/en/abs/compression-and-interpretability-of-deep-neural-networks-via-tucker-tensor-layer-from-first-principles-to-tensor-valued-back-propagation-1903.06133</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compression-and-interpretability-of-deep-neural-networks-via-tucker-tensor-layer-from-first-principles-to-tensor-valued-back-propagation-1903.06133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compression-and-interpretability-of-deep-neural-networks-via-tucker-tensor-layer-from-first-principles-to-tensor-valued-back-propagation-1903.06133"/></url>
<url><loc>https://scifaro.com/en/abs/deep-switch-networks-for-generating-discrete-data-and-language-1903.06135</loc><lastmod>2019-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-switch-networks-for-generating-discrete-data-and-language-1903.06135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-switch-networks-for-generating-discrete-data-and-language-1903.06135"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-with-feedback-based-exploration-1903.06151</loc><lastmod>2020-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-feedback-based-exploration-1903.06151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-feedback-based-exploration-1903.06151"/></url>
<url><loc>https://scifaro.com/en/abs/episodic-memory-reader-learning-what-to-remember-for-question-answering-from-streaming-data-1903.06164</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/episodic-memory-reader-learning-what-to-remember-for-question-answering-from-streaming-data-1903.06164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/episodic-memory-reader-learning-what-to-remember-for-question-answering-from-streaming-data-1903.06164"/></url>
<url><loc>https://scifaro.com/en/abs/no-regret-exploration-in-contextual-reinforcement-learning-1903.06187</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-regret-exploration-in-contextual-reinforcement-learning-1903.06187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-regret-exploration-in-contextual-reinforcement-learning-1903.06187"/></url>
<url><loc>https://scifaro.com/en/abs/teaching-with-impact-1903.06209</loc><lastmod>2019-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/teaching-with-impact-1903.06209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/teaching-with-impact-1903.06209"/></url>
<url><loc>https://scifaro.com/en/abs/improving-neural-architecture-search-image-classifiers-via-ensemble-learning-1903.06236</loc><lastmod>2019-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-neural-architecture-search-image-classifiers-via-ensemble-learning-1903.06236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-neural-architecture-search-image-classifiers-via-ensemble-learning-1903.06236"/></url>
<url><loc>https://scifaro.com/en/abs/inefficiency-of-k-fac-for-large-batch-size-training-1903.06237</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inefficiency-of-k-fac-for-large-batch-size-training-1903.06237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inefficiency-of-k-fac-for-large-batch-size-training-1903.06237"/></url>
<url><loc>https://scifaro.com/en/abs/a-research-agenda-dynamic-models-to-defend-against-correlated-attacks-1903.06293</loc><lastmod>2019-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-research-agenda-dynamic-models-to-defend-against-correlated-attacks-1903.06293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-research-agenda-dynamic-models-to-defend-against-correlated-attacks-1903.06293"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-agent-off-policy-actor-critic-algorithm-for-distributed-reinforcement-learning-1903.06372</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-agent-off-policy-actor-critic-algorithm-for-distributed-reinforcement-learning-1903.06372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-agent-off-policy-actor-critic-algorithm-for-distributed-reinforcement-learning-1903.06372"/></url>
<url><loc>https://scifaro.com/en/abs/a-faster-algorithm-enumerating-relevant-features-over-finite-fields-1903.06412</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-faster-algorithm-enumerating-relevant-features-over-finite-fields-1903.06412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-faster-algorithm-enumerating-relevant-features-over-finite-fields-1903.06412"/></url>
<url><loc>https://scifaro.com/en/abs/mfas-multimodal-fusion-architecture-search-1903.06496</loc><lastmod>2019-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mfas-multimodal-fusion-architecture-search-1903.06496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mfas-multimodal-fusion-architecture-search-1903.06496"/></url>
<url><loc>https://scifaro.com/en/abs/a-ranking-model-motivated-by-nonnegative-matrix-factorization-with-applications-to-tennis-tournaments-1903.06500</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-ranking-model-motivated-by-nonnegative-matrix-factorization-with-applications-to-tennis-tournaments-1903.06500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-ranking-model-motivated-by-nonnegative-matrix-factorization-with-applications-to-tennis-tournaments-1903.06500"/></url>
<url><loc>https://scifaro.com/en/abs/policy-distillation-and-value-matching-in-multiagent-reinforcement-learning-1903.06592</loc><lastmod>2019-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-distillation-and-value-matching-in-multiagent-reinforcement-learning-1903.06592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-distillation-and-value-matching-in-multiagent-reinforcement-learning-1903.06592"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-network-ensembles-for-time-series-classification-1903.06602</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-ensembles-for-time-series-classification-1903.06602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-ensembles-for-time-series-classification-1903.06602"/></url>
<url><loc>https://scifaro.com/en/abs/on-certifying-non-uniform-bound-against-adversarial-attacks-1903.06603</loc><lastmod>2019-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-certifying-non-uniform-bound-against-adversarial-attacks-1903.06603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-certifying-non-uniform-bound-against-adversarial-attacks-1903.06603"/></url>
<url><loc>https://scifaro.com/en/abs/gee-a-gradient-based-explainable-variational-autoencoder-for-network-anomaly-detection-1903.06661</loc><lastmod>2019-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gee-a-gradient-based-explainable-variational-autoencoder-for-network-anomaly-detection-1903.06661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gee-a-gradient-based-explainable-variational-autoencoder-for-network-anomaly-detection-1903.06661"/></url>
<url><loc>https://scifaro.com/en/abs/multi-stage-fault-warning-for-large-electric-grids-using-anomaly-detection-and-machine-learning-1903.06700</loc><lastmod>2019-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-stage-fault-warning-for-large-electric-grids-using-anomaly-detection-and-machine-learning-1903.06700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-stage-fault-warning-for-large-electric-grids-using-anomaly-detection-and-machine-learning-1903.06700"/></url>
<url><loc>https://scifaro.com/en/abs/on-sample-complexity-of-projection-free-primal-dual-methods-for-learning-mixture-policies-in-markov-decision-processes-1903.06727</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-sample-complexity-of-projection-free-primal-dual-methods-for-learning-mixture-policies-in-markov-decision-processes-1903.06727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-sample-complexity-of-projection-free-primal-dual-methods-for-learning-mixture-policies-in-markov-decision-processes-1903.06727"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-mining-approach-to-flight-arrival-delay-prediction-for-american-airlines-1903.06740</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-mining-approach-to-flight-arrival-delay-prediction-for-american-airlines-1903.06740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-mining-approach-to-flight-arrival-delay-prediction-for-american-airlines-1903.06740"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-neural-architecture-learning-for-financial-time-series-forecasting-1903.06751</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-neural-architecture-learning-for-financial-time-series-forecasting-1903.06751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-neural-architecture-learning-for-financial-time-series-forecasting-1903.06751"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-distance-based-deep-adversarial-transfer-learning-for-intelligent-fault-diagnosis-1903.06753</loc><lastmod>2022-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-distance-based-deep-adversarial-transfer-learning-for-intelligent-fault-diagnosis-1903.06753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-distance-based-deep-adversarial-transfer-learning-for-intelligent-fault-diagnosis-1903.06753"/></url>
<url><loc>https://scifaro.com/en/abs/atari-head-atari-human-eye-tracking-and-demonstration-dataset-1903.06754</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/atari-head-atari-human-eye-tracking-and-demonstration-dataset-1903.06754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/atari-head-atari-human-eye-tracking-and-demonstration-dataset-1903.06754"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-customer-s-gender-and-age-depending-on-mobile-phone-data-1903.06756</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-customer-s-gender-and-age-depending-on-mobile-phone-data-1903.06756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-customer-s-gender-and-age-depending-on-mobile-phone-data-1903.06756"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-for-verifying-deep-neural-networks-1903.06758</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-verifying-deep-neural-networks-1903.06758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-verifying-deep-neural-networks-1903.06758"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-learning-with-the-isoperimetric-loss-1903.06781</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-learning-with-the-isoperimetric-loss-1903.06781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-learning-with-the-isoperimetric-loss-1903.06781"/></url>
<url><loc>https://scifaro.com/en/abs/online-antenna-tuning-in-heterogeneous-cellular-networks-with-deep-reinforcement-learning-1903.06787</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-antenna-tuning-in-heterogeneous-cellular-networks-with-deep-reinforcement-learning-1903.06787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-antenna-tuning-in-heterogeneous-cellular-networks-with-deep-reinforcement-learning-1903.06787"/></url>
<url><loc>https://scifaro.com/en/abs/day-ahead-hourly-forecasting-of-power-generation-from-photovoltaic-plants-1903.06800</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/day-ahead-hourly-forecasting-of-power-generation-from-photovoltaic-plants-1903.06800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/day-ahead-hourly-forecasting-of-power-generation-from-photovoltaic-plants-1903.06800"/></url>
<url><loc>https://scifaro.com/en/abs/spherical-principal-component-analysis-1903.06877</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spherical-principal-component-analysis-1903.06877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spherical-principal-component-analysis-1903.06877"/></url>
<url><loc>https://scifaro.com/en/abs/slsgd-secure-and-efficient-distributed-on-device-machine-learning-1903.06996</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slsgd-secure-and-efficient-distributed-on-device-machine-learning-1903.06996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slsgd-secure-and-efficient-distributed-on-device-machine-learning-1903.06996"/></url>
<url><loc>https://scifaro.com/en/abs/zeno-robust-fully-asynchronous-sgd-1903.07020</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zeno-robust-fully-asynchronous-sgd-1903.07020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zeno-robust-fully-asynchronous-sgd-1903.07020"/></url>
<url><loc>https://scifaro.com/en/abs/deep-feature-selection-using-a-teacher-student-network-1903.07045</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-feature-selection-using-a-teacher-student-network-1903.07045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-feature-selection-using-a-teacher-student-network-1903.07045"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-on-deep-neural-networks-for-time-series-classification-1903.07054</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-on-deep-neural-networks-for-time-series-classification-1903.07054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-on-deep-neural-networks-for-time-series-classification-1903.07054"/></url>
<url><loc>https://scifaro.com/en/abs/learning-competitive-and-discriminative-reconstructions-for-anomaly-detection-1903.07058</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-competitive-and-discriminative-reconstructions-for-anomaly-detection-1903.07058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-competitive-and-discriminative-reconstructions-for-anomaly-detection-1903.07058"/></url>
<url><loc>https://scifaro.com/en/abs/stabilize-deep-resnet-with-a-sharp-scaling-factor-tau-1903.07120</loc><lastmod>2023-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilize-deep-resnet-with-a-sharp-scaling-factor-tau-1903.07120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilize-deep-resnet-with-a-sharp-scaling-factor-tau-1903.07120"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-and-optimization-of-human-machine-interaction-processes-via-the-maximum-entropy-principle-1903.07157</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-and-optimization-of-human-machine-interaction-processes-via-the-maximum-entropy-principle-1903.07157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-and-optimization-of-human-machine-interaction-processes-via-the-maximum-entropy-principle-1903.07157"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-a-dark-side-of-cancer-computing-1903.07167</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-a-dark-side-of-cancer-computing-1903.07167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-a-dark-side-of-cancer-computing-1903.07167"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-computation-and-applications-of-large-dense-partial-correlation-networks-1903.07181</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-computation-and-applications-of-large-dense-partial-correlation-networks-1903.07181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-computation-and-applications-of-large-dense-partial-correlation-networks-1903.07181"/></url>
<url><loc>https://scifaro.com/en/abs/counterpoint-by-convolution-1903.07227</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterpoint-by-convolution-1903.07227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterpoint-by-convolution-1903.07227"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-stochastic-optimization-with-gradient-tracking-over-strongly-connected-networks-1903.07266</loc><lastmod>2019-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-stochastic-optimization-with-gradient-tracking-over-strongly-connected-networks-1903.07266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-stochastic-optimization-with-gradient-tracking-over-strongly-connected-networks-1903.07266"/></url>
<url><loc>https://scifaro.com/en/abs/emotion-recognition-with-machine-learning-using-eeg-signals-1903.07272</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emotion-recognition-with-machine-learning-using-eeg-signals-1903.07272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emotion-recognition-with-machine-learning-using-eeg-signals-1903.07272"/></url>
<url><loc>https://scifaro.com/en/abs/prototype-based-classifiers-in-the-presence-of-concept-drift-a-modelling-framework-1903.07273</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prototype-based-classifiers-in-the-presence-of-concept-drift-a-modelling-framework-1903.07273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prototype-based-classifiers-in-the-presence-of-concept-drift-a-modelling-framework-1903.07273"/></url>
<url><loc>https://scifaro.com/en/abs/generating-adversarial-examples-with-conditional-generative-adversarial-net-1903.07282</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-adversarial-examples-with-conditional-generative-adversarial-net-1903.07282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-adversarial-examples-with-conditional-generative-adversarial-net-1903.07282"/></url>
<url><loc>https://scifaro.com/en/abs/effects-of-padding-on-lstms-and-cnns-1903.07288</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effects-of-padding-on-lstms-and-cnns-1903.07288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effects-of-padding-on-lstms-and-cnns-1903.07288"/></url>
<url><loc>https://scifaro.com/en/abs/autoregressive-models-for-sequences-of-graphs-1903.07299</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoregressive-models-for-sequences-of-graphs-1903.07299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoregressive-models-for-sequences-of-graphs-1903.07299"/></url>
<url><loc>https://scifaro.com/en/abs/m-2-vae-derivation-of-a-multi-modal-variational-autoencoder-objective-from-the-marginal-joint-log-likelihood-1903.07303</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/m-2-vae-derivation-of-a-multi-modal-variational-autoencoder-objective-from-the-marginal-joint-log-likelihood-1903.07303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/m-2-vae-derivation-of-a-multi-modal-variational-autoencoder-objective-from-the-marginal-joint-log-likelihood-1903.07303"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-approximations-of-hyperbolic-embeddings-1903.07307</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-approximations-of-hyperbolic-embeddings-1903.07307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-approximations-of-hyperbolic-embeddings-1903.07307"/></url>
<url><loc>https://scifaro.com/en/abs/on-line-learning-dynamics-of-relu-neural-networks-using-statistical-physics-techniques-1903.07378</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-line-learning-dynamics-of-relu-neural-networks-using-statistical-physics-techniques-1903.07378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-line-learning-dynamics-of-relu-neural-networks-using-statistical-physics-techniques-1903.07378"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-energy-forecasting-using-quantile-regressions-based-on-a-new-nearest-neighbors-quantile-filter-1903.07390</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-energy-forecasting-using-quantile-regressions-based-on-a-new-nearest-neighbors-quantile-filter-1903.07390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-energy-forecasting-using-quantile-regressions-based-on-a-new-nearest-neighbors-quantile-filter-1903.07390"/></url>
<url><loc>https://scifaro.com/en/abs/scheduled-intrinsic-drive-a-hierarchical-take-on-intrinsically-motivated-exploration-1903.07400</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scheduled-intrinsic-drive-a-hierarchical-take-on-intrinsically-motivated-exploration-1903.07400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scheduled-intrinsic-drive-a-hierarchical-take-on-intrinsically-motivated-exploration-1903.07400"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-federated-deep-learning-with-asynchronous-model-update-and-temporally-weighted-aggregation-1903.07424</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-federated-deep-learning-with-asynchronous-model-update-and-temporally-weighted-aggregation-1903.07424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-federated-deep-learning-with-asynchronous-model-update-and-temporally-weighted-aggregation-1903.07424"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-hierarchy-for-learning-and-transfer-in-kl-regularized-rl-1903.07438</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-hierarchy-for-learning-and-transfer-in-kl-regularized-rl-1903.07438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-hierarchy-for-learning-and-transfer-in-kl-regularized-rl-1903.07438"/></url>
<url><loc>https://scifaro.com/en/abs/offline-and-online-deep-learning-for-image-recognition-1903.07479</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-and-online-deep-learning-for-image-recognition-1903.07479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-and-online-deep-learning-for-image-recognition-1903.07479"/></url>
<url><loc>https://scifaro.com/en/abs/advanced-capsule-networks-via-context-awareness-1903.07497</loc><lastmod>2023-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advanced-capsule-networks-via-context-awareness-1903.07497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advanced-capsule-networks-via-context-awareness-1903.07497"/></url>
<url><loc>https://scifaro.com/en/abs/an-effective-label-noise-model-for-dnn-text-classification-1903.07507</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-effective-label-noise-model-for-dnn-text-classification-1903.07507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-effective-label-noise-model-for-dnn-text-classification-1903.07507"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-the-progression-of-alzheimer-s-disease-using-neural-networks-and-a-novel-pre-processing-algorithm-1903.07510</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-the-progression-of-alzheimer-s-disease-using-neural-networks-and-a-novel-pre-processing-algorithm-1903.07510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-the-progression-of-alzheimer-s-disease-using-neural-networks-and-a-novel-pre-processing-algorithm-1903.07510"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-prediction-algorithms-and-nexting-for-short-term-weather-forecasts-1903.07512</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-prediction-algorithms-and-nexting-for-short-term-weather-forecasts-1903.07512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-prediction-algorithms-and-nexting-for-short-term-weather-forecasts-1903.07512"/></url>
<url><loc>https://scifaro.com/en/abs/extrapolating-paths-with-graph-neural-networks-1903.07518</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extrapolating-paths-with-graph-neural-networks-1903.07518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extrapolating-paths-with-graph-neural-networks-1903.07518"/></url>
<url><loc>https://scifaro.com/en/abs/lyrics-a-general-interface-layer-to-integrate-logic-inference-and-deep-learning-1903.07534</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lyrics-a-general-interface-layer-to-integrate-logic-inference-and-deep-learning-1903.07534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lyrics-a-general-interface-layer-to-integrate-logic-inference-and-deep-learning-1903.07534"/></url>
<url><loc>https://scifaro.com/en/abs/two-models-of-double-descent-for-weak-features-1903.07571</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-models-of-double-descent-for-weak-features-1903.07571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-models-of-double-descent-for-weak-features-1903.07571"/></url>
<url><loc>https://scifaro.com/en/abs/multi-differential-fairness-auditor-for-black-box-classifiers-1903.07609</loc><lastmod>2019-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-differential-fairness-auditor-for-black-box-classifiers-1903.07609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-differential-fairness-auditor-for-black-box-classifiers-1903.07609"/></url>
<url><loc>https://scifaro.com/en/abs/a-rad-approach-to-deep-mixture-models-1903.07714</loc><lastmod>2020-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-rad-approach-to-deep-mixture-models-1903.07714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-rad-approach-to-deep-mixture-models-1903.07714"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-heterogeneous-subsequences-for-trajectory-classification-1903.07722</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-heterogeneous-subsequences-for-trajectory-classification-1903.07722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-heterogeneous-subsequences-for-trajectory-classification-1903.07722"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-augment-synthetic-images-for-sim2real-policy-transfer-1903.07740</loc><lastmod>2019-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-augment-synthetic-images-for-sim2real-policy-transfer-1903.07740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-augment-synthetic-images-for-sim2real-policy-transfer-1903.07740"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-routing-mixture-of-experts-1903.07756</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-routing-mixture-of-experts-1903.07756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-routing-mixture-of-experts-1903.07756"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-with-decorrelation-1903.07765</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-decorrelation-1903.07765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-decorrelation-1903.07765"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-for-lorenz-map-prediction-a-trip-through-time-1903.07768</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-for-lorenz-map-prediction-a-trip-through-time-1903.07768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-for-lorenz-map-prediction-a-trip-through-time-1903.07768"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-consensus-based-distributed-optimization-1903.07792</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-consensus-based-distributed-optimization-1903.07792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-consensus-based-distributed-optimization-1903.07792"/></url>
<url><loc>https://scifaro.com/en/abs/random-pairwise-shapelets-forest-1903.07799</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-pairwise-shapelets-forest-1903.07799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-pairwise-shapelets-forest-1903.07799"/></url>
<url><loc>https://scifaro.com/en/abs/pop-cnn-predicting-odor-s-pleasantness-with-convolutional-neural-network-1903.07821</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pop-cnn-predicting-odor-s-pleasantness-with-convolutional-neural-network-1903.07821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pop-cnn-predicting-odor-s-pleasantness-with-convolutional-neural-network-1903.07821"/></url>
<url><loc>https://scifaro.com/en/abs/a-semi-supervised-deep-learning-algorithm-for-abnormal-eeg-identification-1903.07822</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-semi-supervised-deep-learning-algorithm-for-abnormal-eeg-identification-1903.07822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-semi-supervised-deep-learning-algorithm-for-abnormal-eeg-identification-1903.07822"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-kl-ucb-policy-for-the-stochastic-bandit-1903.07839</loc><lastmod>2019-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-kl-ucb-policy-for-the-stochastic-bandit-1903.07839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-kl-ucb-policy-for-the-stochastic-bandit-1903.07839"/></url>
<url><loc>https://scifaro.com/en/abs/hindsight-generative-adversarial-imitation-learning-1903.07854</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hindsight-generative-adversarial-imitation-learning-1903.07854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hindsight-generative-adversarial-imitation-learning-1903.07854"/></url>
<url><loc>https://scifaro.com/en/abs/on-first-order-bounds-variance-and-gap-dependent-bounds-for-adversarial-bandits-1903.07890</loc><lastmod>2019-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-first-order-bounds-variance-and-gap-dependent-bounds-for-adversarial-bandits-1903.07890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-first-order-bounds-variance-and-gap-dependent-bounds-for-adversarial-bandits-1903.07890"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-study-for-unsupervised-network-representation-learning-1903.07902</loc><lastmod>2020-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-study-for-unsupervised-network-representation-learning-1903.07902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-study-for-unsupervised-network-representation-learning-1903.07902"/></url>
<url><loc>https://scifaro.com/en/abs/neuralhydrology-interpreting-lstms-in-hydrology-1903.07903</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuralhydrology-interpreting-lstms-in-hydrology-1903.07903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuralhydrology-interpreting-lstms-in-hydrology-1903.07903"/></url>
<url><loc>https://scifaro.com/en/abs/truly-proximal-policy-optimization-1903.07940</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truly-proximal-policy-optimization-1903.07940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truly-proximal-policy-optimization-1903.07940"/></url>
<url><loc>https://scifaro.com/en/abs/a-choquet-fuzzy-integral-vertical-bagging-classifier-for-mobile-telematics-data-analysis-1903.07970</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-choquet-fuzzy-integral-vertical-bagging-classifier-for-mobile-telematics-data-analysis-1903.07970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-choquet-fuzzy-integral-vertical-bagging-classifier-for-mobile-telematics-data-analysis-1903.07970"/></url>
<url><loc>https://scifaro.com/en/abs/tackling-initial-centroid-of-k-means-with-distance-part-dp-kmeans-1903.07977</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tackling-initial-centroid-of-k-means-with-distance-part-dp-kmeans-1903.07977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tackling-initial-centroid-of-k-means-with-distance-part-dp-kmeans-1903.07977"/></url>
<url><loc>https://scifaro.com/en/abs/twins-recognition-with-multi-biometric-system-handcrafted-deep-learning-based-multi-algorithm-with-voice-ear-recognition-based-multi-modal-1903.07981</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/twins-recognition-with-multi-biometric-system-handcrafted-deep-learning-based-multi-algorithm-with-voice-ear-recognition-based-multi-modal-1903.07981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/twins-recognition-with-multi-biometric-system-handcrafted-deep-learning-based-multi-algorithm-with-voice-ear-recognition-based-multi-modal-1903.07981"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-clustering-for-graphs-comparisons-and-applications-1903.08012</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-clustering-for-graphs-comparisons-and-applications-1903.08012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-clustering-for-graphs-comparisons-and-applications-1903.08012"/></url>
<url><loc>https://scifaro.com/en/abs/indylstms-independently-recurrent-lstms-1903.08023</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/indylstms-independently-recurrent-lstms-1903.08023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/indylstms-independently-recurrent-lstms-1903.08023"/></url>
<url><loc>https://scifaro.com/en/abs/residual-deep-convolutional-neural-network-for-eeg-signal-classification-in-epilepsy-1903.08100</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-deep-convolutional-neural-network-for-eeg-signal-classification-in-epilepsy-1903.08100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-deep-convolutional-neural-network-for-eeg-signal-classification-in-epilepsy-1903.08100"/></url>
<url><loc>https://scifaro.com/en/abs/online-non-convex-learning-following-the-perturbed-leader-is-optimal-1903.08110</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-non-convex-learning-following-the-perturbed-leader-is-optimal-1903.08110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-non-convex-learning-following-the-perturbed-leader-is-optimal-1903.08110"/></url>
<url><loc>https://scifaro.com/en/abs/exact-gaussian-processes-on-a-million-data-points-1903.08114</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-gaussian-processes-on-a-million-data-points-1903.08114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-gaussian-processes-on-a-million-data-points-1903.08114"/></url>
<url><loc>https://scifaro.com/en/abs/hyper-parameter-sweep-on-alphazero-general-1903.08129</loc><lastmod>2019-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyper-parameter-sweep-on-alphazero-general-1903.08129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyper-parameter-sweep-on-alphazero-general-1903.08129"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-hard-thresholding-for-near-optimal-consistent-robust-regression-1903.08192</loc><lastmod>2019-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-hard-thresholding-for-near-optimal-consistent-robust-regression-1903.08192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-hard-thresholding-for-near-optimal-consistent-robust-regression-1903.08192"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-learning-of-sequential-choice-bandit-problem-under-marketing-fatigue-1903.08193</loc><lastmod>2019-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-learning-of-sequential-choice-bandit-problem-under-marketing-fatigue-1903.08193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-learning-of-sequential-choice-bandit-problem-under-marketing-fatigue-1903.08193"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-off-policy-meta-reinforcement-learning-via-probabilistic-context-variables-1903.08254</loc><lastmod>2019-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-off-policy-meta-reinforcement-learning-via-probabilistic-context-variables-1903.08254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-off-policy-meta-reinforcement-learning-via-probabilistic-context-variables-1903.08254"/></url>
<url><loc>https://scifaro.com/en/abs/a-quantum-annealing-based-approach-to-extreme-clustering-1903.08256</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-quantum-annealing-based-approach-to-extreme-clustering-1903.08256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-quantum-annealing-based-approach-to-extreme-clustering-1903.08256"/></url>
<url><loc>https://scifaro.com/en/abs/gans-for-semi-supervised-opinion-spam-detection-1903.08289</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gans-for-semi-supervised-opinion-spam-detection-1903.08289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gans-for-semi-supervised-opinion-spam-detection-1903.08289"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-improve-radiologists-performance-in-breast-cancer-screening-1903.08297</loc><lastmod>2019-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-improve-radiologists-performance-in-breast-cancer-screening-1903.08297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-improve-radiologists-performance-in-breast-cancer-screening-1903.08297"/></url>
<url><loc>https://scifaro.com/en/abs/on-sampling-random-features-from-empirical-leverage-scores-implementation-and-theoretical-guarantees-1903.08329</loc><lastmod>2019-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-sampling-random-features-from-empirical-leverage-scores-implementation-and-theoretical-guarantees-1903.08329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-sampling-random-features-from-empirical-leverage-scores-implementation-and-theoretical-guarantees-1903.08329"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-maximization-of-submodular-plus-diversity-functions-for-multi-label-feature-selection-on-huge-datasets-1903.08351</loc><lastmod>2019-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-maximization-of-submodular-plus-diversity-functions-for-multi-label-feature-selection-on-huge-datasets-1903.08351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-maximization-of-submodular-plus-diversity-functions-for-multi-label-feature-selection-on-huge-datasets-1903.08351"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-data-driven-movement-generation-a-review-of-the-state-of-the-art-1903.08356</loc><lastmod>2019-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-data-driven-movement-generation-a-review-of-the-state-of-the-art-1903.08356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-data-driven-movement-generation-a-review-of-the-state-of-the-art-1903.08356"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-of-molecular-property-prediction-with-bayesian-neural-networks-1903.08375</loc><lastmod>2019-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-of-molecular-property-prediction-with-bayesian-neural-networks-1903.08375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-of-molecular-property-prediction-with-bayesian-neural-networks-1903.08375"/></url>
<url><loc>https://scifaro.com/en/abs/preference-rules-for-label-ranking-mining-patterns-in-multi-target-relations-1903.08504</loc><lastmod>2019-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preference-rules-for-label-ranking-mining-patterns-in-multi-target-relations-1903.08504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preference-rules-for-label-ranking-mining-patterns-in-multi-target-relations-1903.08504"/></url>
<url><loc>https://scifaro.com/en/abs/topology-based-representative-datasets-to-reduce-neural-network-training-resources-1903.08519</loc><lastmod>2024-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topology-based-representative-datasets-to-reduce-neural-network-training-resources-1903.08519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topology-based-representative-datasets-to-reduce-neural-network-training-resources-1903.08519"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-bandits-with-random-projection-1903.08600</loc><lastmod>2019-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-bandits-with-random-projection-1903.08600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-bandits-with-random-projection-1903.08600"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hierarchical-representations-of-electronic-health-records-for-clinical-outcome-prediction-1903.08652</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hierarchical-representations-of-electronic-health-records-for-clinical-outcome-prediction-1903.08652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hierarchical-representations-of-electronic-health-records-for-clinical-outcome-prediction-1903.08652"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-sample-selection-for-online-continual-learning-1903.08671</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-sample-selection-for-online-continual-learning-1903.08671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-sample-selection-for-online-continual-learning-1903.08671"/></url>
<url><loc>https://scifaro.com/en/abs/performance-measurement-for-deep-bayesian-neural-network-1903.08674</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-measurement-for-deep-bayesian-neural-network-1903.08674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-measurement-for-deep-bayesian-neural-network-1903.08674"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-generation-and-generalization-in-energy-based-models-1903.08689</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-generation-and-generalization-in-energy-based-models-1903.08689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-generation-and-generalization-in-energy-based-models-1903.08689"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-inner-product-approximation-in-hybrid-spaces-1903.08690</loc><lastmod>2019-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-inner-product-approximation-in-hybrid-spaces-1903.08690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-inner-product-approximation-in-hybrid-spaces-1903.08690"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-gradient-boosting-machine-1903.08708</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-gradient-boosting-machine-1903.08708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-gradient-boosting-machine-1903.08708"/></url>
<url><loc>https://scifaro.com/en/abs/batch-policy-learning-under-constraints-1903.08738</loc><lastmod>2019-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-policy-learning-under-constraints-1903.08738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-policy-learning-under-constraints-1903.08738"/></url>
<url><loc>https://scifaro.com/en/abs/byzantine-fault-tolerant-distributed-linear-regression-1903.08752</loc><lastmod>2019-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/byzantine-fault-tolerant-distributed-linear-regression-1903.08752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/byzantine-fault-tolerant-distributed-linear-regression-1903.08752"/></url>
<url><loc>https://scifaro.com/en/abs/provable-certificates-for-adversarial-examples-fitting-a-ball-in-the-union-of-polytopes-1903.08778</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-certificates-for-adversarial-examples-fitting-a-ball-in-the-union-of-polytopes-1903.08778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-certificates-for-adversarial-examples-fitting-a-ball-in-the-union-of-polytopes-1903.08778"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-neural-networks-using-flip-points-1903.08789</loc><lastmod>2019-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-neural-networks-using-flip-points-1903.08789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-neural-networks-using-flip-points-1903.08789"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-safe-reinforcement-learning-through-barrier-functions-for-safety-critical-continuous-control-tasks-1903.08792</loc><lastmod>2019-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-safe-reinforcement-learning-through-barrier-functions-for-safety-critical-continuous-control-tasks-1903.08792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-safe-reinforcement-learning-through-barrier-functions-for-safety-critical-continuous-control-tasks-1903.08792"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-analytical-framework-for-trustable-machine-learning-and-automation-running-with-blockchain-1903.08801</loc><lastmod>2019-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-analytical-framework-for-trustable-machine-learning-and-automation-running-with-blockchain-1903.08801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-analytical-framework-for-trustable-machine-learning-and-automation-running-with-blockchain-1903.08801"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-neural-network-on-semi-regular-triangulated-meshes-and-its-application-to-brain-image-data-1903.08828</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-neural-network-on-semi-regular-triangulated-meshes-and-its-application-to-brain-image-data-1903.08828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-neural-network-on-semi-regular-triangulated-meshes-and-its-application-to-brain-image-data-1903.08828"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-eeg-based-brain-connectivity-networks-in-schizophrenia-using-a-multi-domain-connectome-convolutional-neural-network-1903.08858</loc><lastmod>2020-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-eeg-based-brain-connectivity-networks-in-schizophrenia-using-a-multi-domain-connectome-convolutional-neural-network-1903.08858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-eeg-based-brain-connectivity-networks-in-schizophrenia-using-a-multi-domain-connectome-convolutional-neural-network-1903.08858"/></url>
<url><loc>https://scifaro.com/en/abs/node-embedding-over-temporal-graphs-1903.08889</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-embedding-over-temporal-graphs-1903.08889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-embedding-over-temporal-graphs-1903.08889"/></url>
<url><loc>https://scifaro.com/en/abs/towards-characterizing-divergence-in-deep-q-learning-1903.08894</loc><lastmod>2019-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-characterizing-divergence-in-deep-q-learning-1903.08894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-characterizing-divergence-in-deep-q-learning-1903.08894"/></url>
<url><loc>https://scifaro.com/en/abs/ppgnet-deep-network-for-device-independent-heart-rate-estimation-from-photoplethysmogram-1903.08912</loc><lastmod>2019-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ppgnet-deep-network-for-device-independent-heart-rate-estimation-from-photoplethysmogram-1903.08912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ppgnet-deep-network-for-device-independent-heart-rate-estimation-from-photoplethysmogram-1903.08912"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-time-series-analysis-applied-to-drug-response-modelling-1903.08970</loc><lastmod>2019-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-time-series-analysis-applied-to-drug-response-modelling-1903.08970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-time-series-analysis-applied-to-drug-response-modelling-1903.08970"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-spectra-analysis-workflow-for-the-assessment-of-microbial-contamination-of-ready-to-eat-green-salads-comparative-study-and-application-of-non-invasive-sensors-1903.08998</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-spectra-analysis-workflow-for-the-assessment-of-microbial-contamination-of-ready-to-eat-green-salads-comparative-study-and-application-of-non-invasive-sensors-1903.08998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-spectra-analysis-workflow-for-the-assessment-of-microbial-contamination-of-ready-to-eat-green-salads-comparative-study-and-application-of-non-invasive-sensors-1903.08998"/></url>
<url><loc>https://scifaro.com/en/abs/generative-models-for-deep-learning-with-very-scarce-data-1903.09030</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-models-for-deep-learning-with-very-scarce-data-1903.09030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-models-for-deep-learning-with-very-scarce-data-1903.09030"/></url>
<url><loc>https://scifaro.com/en/abs/equivariant-entity-relationship-networks-1903.09033</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivariant-entity-relationship-networks-1903.09033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivariant-entity-relationship-networks-1903.09033"/></url>
<url><loc>https://scifaro.com/en/abs/learning-personalized-thermal-preferences-via-bayesian-active-learning-with-unimodality-constraints-1903.09094</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-personalized-thermal-preferences-via-bayesian-active-learning-with-unimodality-constraints-1903.09094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-personalized-thermal-preferences-via-bayesian-active-learning-with-unimodality-constraints-1903.09094"/></url>
<url><loc>https://scifaro.com/en/abs/scanning-probe-state-recognition-with-multi-class-neural-network-ensembles-1903.09101</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scanning-probe-state-recognition-with-multi-class-neural-network-ensembles-1903.09101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scanning-probe-state-recognition-with-multi-class-neural-network-ensembles-1903.09101"/></url>
<url><loc>https://scifaro.com/en/abs/a-principled-approach-for-learning-task-similarity-in-multitask-learning-1903.09109</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-principled-approach-for-learning-task-similarity-in-multitask-learning-1903.09109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-principled-approach-for-learning-task-similarity-in-multitask-learning-1903.09109"/></url>
<url><loc>https://scifaro.com/en/abs/finite-sample-analysis-of-stochastic-system-identification-1903.09122</loc><lastmod>2019-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-sample-analysis-of-stochastic-system-identification-1903.09122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-sample-analysis-of-stochastic-system-identification-1903.09122"/></url>
<url><loc>https://scifaro.com/en/abs/perturbed-history-exploration-in-stochastic-linear-bandits-1903.09132</loc><lastmod>2023-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perturbed-history-exploration-in-stochastic-linear-bandits-1903.09132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perturbed-history-exploration-in-stochastic-linear-bandits-1903.09132"/></url>
<url><loc>https://scifaro.com/en/abs/harmless-interpolation-of-noisy-data-in-regression-1903.09139</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harmless-interpolation-of-noisy-data-in-regression-1903.09139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harmless-interpolation-of-noisy-data-in-regression-1903.09139"/></url>
<url><loc>https://scifaro.com/en/abs/towards-automatic-construction-of-multi-network-models-for-heterogeneous-multi-task-learning-1903.09171</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-automatic-construction-of-multi-network-models-for-heterogeneous-multi-task-learning-1903.09171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-automatic-construction-of-multi-network-models-for-heterogeneous-multi-task-learning-1903.09171"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-the-lowest-layer-of-deep-networks-with-high-threshold-activations-1903.09231</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-the-lowest-layer-of-deep-networks-with-high-threshold-activations-1903.09231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-the-lowest-layer-of-deep-networks-with-high-threshold-activations-1903.09231"/></url>
<url><loc>https://scifaro.com/en/abs/trainable-time-warping-aligning-time-series-in-the-continuous-time-domain-1903.09245</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trainable-time-warping-aligning-time-series-in-the-continuous-time-domain-1903.09245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trainable-time-warping-aligning-time-series-in-the-continuous-time-domain-1903.09245"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-off-policy-actor-critic-reinforcement-learning-with-policy-consensus-1903.09255</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-off-policy-actor-critic-reinforcement-learning-with-policy-consensus-1903.09255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-off-policy-actor-critic-reinforcement-learning-with-policy-consensus-1903.09255"/></url>
<url><loc>https://scifaro.com/en/abs/a-computer-aided-system-for-determining-the-application-range-of-a-warfarin-clinical-dosing-algorithm-using-support-vector-machines-with-a-polynomial-kernel-function-1903.09267</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-computer-aided-system-for-determining-the-application-range-of-a-warfarin-clinical-dosing-algorithm-using-support-vector-machines-with-a-polynomial-kernel-function-1903.09267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-computer-aided-system-for-determining-the-application-range-of-a-warfarin-clinical-dosing-algorithm-using-support-vector-machines-with-a-polynomial-kernel-function-1903.09267"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixtures-of-separable-dictionaries-for-tensor-data-analysis-and-algorithms-1903.09284</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixtures-of-separable-dictionaries-for-tensor-data-analysis-and-algorithms-1903.09284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixtures-of-separable-dictionaries-for-tensor-data-analysis-and-algorithms-1903.09284"/></url>
<url><loc>https://scifaro.com/en/abs/dqn-with-model-based-exploration-efficient-learning-on-environments-with-sparse-rewards-1903.09295</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dqn-with-model-based-exploration-efficient-learning-on-environments-with-sparse-rewards-1903.09295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dqn-with-model-based-exploration-efficient-learning-on-environments-with-sparse-rewards-1903.09295"/></url>
<url><loc>https://scifaro.com/en/abs/patient-clustering-improves-efficiency-of-federated-machine-learning-to-predict-mortality-and-hospital-stay-time-using-distributed-electronic-medical-records-1903.09296</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/patient-clustering-improves-efficiency-of-federated-machine-learning-to-predict-mortality-and-hospital-stay-time-using-distributed-electronic-medical-records-1903.09296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/patient-clustering-improves-efficiency-of-federated-machine-learning-to-predict-mortality-and-hospital-stay-time-using-distributed-electronic-medical-records-1903.09296"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-independent-rnn-approach-to-classification-of-seizures-against-non-seizures-1903.09326</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-independent-rnn-approach-to-classification-of-seizures-against-non-seizures-1903.09326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-independent-rnn-approach-to-classification-of-seizures-against-non-seizures-1903.09326"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-methods-for-interpretable-differentiable-decision-trees-in-reinforcement-learning-1903.09338</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-methods-for-interpretable-differentiable-decision-trees-in-reinforcement-learning-1903.09338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-methods-for-interpretable-differentiable-decision-trees-in-reinforcement-learning-1903.09338"/></url>
<url><loc>https://scifaro.com/en/abs/macro-action-reinforcement-learning-with-sequence-disentanglement-using-variational-autoencoder-1903.09366</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/macro-action-reinforcement-learning-with-sequence-disentanglement-using-variational-autoencoder-1903.09366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/macro-action-reinforcement-learning-with-sequence-disentanglement-using-variational-autoencoder-1903.09366"/></url>
<url><loc>https://scifaro.com/en/abs/deep-hierarchical-reinforcement-learning-based-recommendations-via-multi-goals-abstraction-1903.09374</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-hierarchical-reinforcement-learning-based-recommendations-via-multi-goals-abstraction-1903.09374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-hierarchical-reinforcement-learning-based-recommendations-via-multi-goals-abstraction-1903.09374"/></url>
<url><loc>https://scifaro.com/en/abs/multi-modal-probabilistic-prediction-of-interactive-behavior-via-an-interpretable-model-1903.09381</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-modal-probabilistic-prediction-of-interactive-behavior-via-an-interpretable-model-1903.09381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-modal-probabilistic-prediction-of-interactive-behavior-via-an-interpretable-model-1903.09381"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-intelligence-based-process-for-metal-scrap-sorting-1903.09415</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-intelligence-based-process-for-metal-scrap-sorting-1903.09415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-intelligence-based-process-for-metal-scrap-sorting-1903.09415"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-acquisition-functions-for-batch-bayesian-optimization-1903.09434</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-acquisition-functions-for-batch-bayesian-optimization-1903.09434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-acquisition-functions-for-batch-bayesian-optimization-1903.09434"/></url>
<url><loc>https://scifaro.com/en/abs/the-invisible-power-of-fairness-how-machine-learning-shapes-democracy-1903.09493</loc><lastmod>2019-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-invisible-power-of-fairness-how-machine-learning-shapes-democracy-1903.09493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-invisible-power-of-fairness-how-machine-learning-shapes-democracy-1903.09493"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-hand-held-wemi-target-detection-algorithms-1903.09587</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-hand-held-wemi-target-detection-algorithms-1903.09587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-hand-held-wemi-target-detection-algorithms-1903.09587"/></url>
<url><loc>https://scifaro.com/en/abs/symbolic-regression-methods-for-reinforcement-learning-1903.09688</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symbolic-regression-methods-for-reinforcement-learning-1903.09688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symbolic-regression-methods-for-reinforcement-learning-1903.09688"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-imputation-1903.09732</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-imputation-1903.09732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-imputation-1903.09732"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-learning-for-domain-adaptation-under-label-shifts-1903.09734</loc><lastmod>2020-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-learning-for-domain-adaptation-under-label-shifts-1903.09734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-learning-for-domain-adaptation-under-label-shifts-1903.09734"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-prognostics-with-predictive-uncertainty-estimation-using-ensemble-of-deep-ordinal-regression-models-1903.09795</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-prognostics-with-predictive-uncertainty-estimation-using-ensemble-of-deep-ordinal-regression-models-1903.09795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-prognostics-with-predictive-uncertainty-estimation-using-ensemble-of-deep-ordinal-regression-models-1903.09795"/></url>
<url><loc>https://scifaro.com/en/abs/improving-adversarial-robustness-via-guided-complement-entropy-1903.09799</loc><lastmod>2019-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-adversarial-robustness-via-guided-complement-entropy-1903.09799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-adversarial-robustness-via-guided-complement-entropy-1903.09799"/></url>
<url><loc>https://scifaro.com/en/abs/data-poisoning-against-differentially-private-learners-attacks-and-defenses-1903.09860</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-poisoning-against-differentially-private-learners-attacks-and-defenses-1903.09860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-poisoning-against-differentially-private-learners-attacks-and-defenses-1903.09860"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-logic-guided-safe-reinforcement-learning-using-control-barrier-functions-1903.09885</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-logic-guided-safe-reinforcement-learning-using-control-barrier-functions-1903.09885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-logic-guided-safe-reinforcement-learning-using-control-barrier-functions-1903.09885"/></url>
<url><loc>https://scifaro.com/en/abs/musco-multi-stage-compression-of-neural-networks-1903.09973</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/musco-multi-stage-compression-of-neural-networks-1903.09973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/musco-multi-stage-compression-of-neural-networks-1903.09973"/></url>
<url><loc>https://scifaro.com/en/abs/a-mixture-of-experts-model-for-predicting-persistent-weather-patterns-1903.10012</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mixture-of-experts-model-for-predicting-persistent-weather-patterns-1903.10012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mixture-of-experts-model-for-predicting-persistent-weather-patterns-1903.10012"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-synthetically-generated-data-with-semi-supervised-learning-for-small-and-imbalanced-datasets-1903.10022</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-synthetically-generated-data-with-semi-supervised-learning-for-small-and-imbalanced-datasets-1903.10022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-synthetically-generated-data-with-semi-supervised-learning-for-small-and-imbalanced-datasets-1903.10022"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-of-k-means-related-algorithms-1903.10025</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-of-k-means-related-algorithms-1903.10025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-of-k-means-related-algorithms-1903.10025"/></url>
<url><loc>https://scifaro.com/en/abs/a-formalization-of-robustness-for-deep-neural-networks-1903.10033</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-formalization-of-robustness-for-deep-neural-networks-1903.10033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-formalization-of-robustness-for-deep-neural-networks-1903.10033"/></url>
<url><loc>https://scifaro.com/en/abs/truly-batch-apprenticeship-learning-with-deep-successor-features-1903.10077</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truly-batch-apprenticeship-learning-with-deep-successor-features-1903.10077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truly-batch-apprenticeship-learning-with-deep-successor-features-1903.10077"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-multiple-demographic-attributes-with-task-specific-embedding-transformation-and-attention-network-1903.10144</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-multiple-demographic-attributes-with-task-specific-embedding-transformation-and-attention-network-1903.10144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-multiple-demographic-attributes-with-task-specific-embedding-transformation-and-attention-network-1903.10144"/></url>
<url><loc>https://scifaro.com/en/abs/cyclical-annealing-schedule-a-simple-approach-to-mitigating-kl-vanishing-1903.10145</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cyclical-annealing-schedule-a-simple-approach-to-mitigating-kl-vanishing-1903.10145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cyclical-annealing-schedule-a-simple-approach-to-mitigating-kl-vanishing-1903.10145"/></url>
<url><loc>https://scifaro.com/en/abs/robust-neural-networks-using-randomized-adversarial-training-1903.10219</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-neural-networks-using-randomized-adversarial-training-1903.10219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-neural-networks-using-randomized-adversarial-training-1903.10219"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-multi-modal-policy-via-imitating-demonstrations-with-mixed-behaviors-1903.10304</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-multi-modal-policy-via-imitating-demonstrations-with-mixed-behaviors-1903.10304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-multi-modal-policy-via-imitating-demonstrations-with-mixed-behaviors-1903.10304"/></url>
<url><loc>https://scifaro.com/en/abs/em-like-learning-chaotic-dynamics-from-noisy-and-partial-observations-1903.10335</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/em-like-learning-chaotic-dynamics-from-noisy-and-partial-observations-1903.10335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/em-like-learning-chaotic-dynamics-from-noisy-and-partial-observations-1903.10335"/></url>
<url><loc>https://scifaro.com/en/abs/local-orthogonal-decomposition-for-maximum-inner-product-search-1903.10391</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-orthogonal-decomposition-for-maximum-inner-product-search-1903.10391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-orthogonal-decomposition-for-maximum-inner-product-search-1903.10391"/></url>
<url><loc>https://scifaro.com/en/abs/the-logbarrier-adversarial-attack-making-effective-use-of-decision-boundary-information-1903.10396</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-logbarrier-adversarial-attack-making-effective-use-of-decision-boundary-information-1903.10396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-logbarrier-adversarial-attack-making-effective-use-of-decision-boundary-information-1903.10396"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-learn-stochastic-gradient-descent-with-biased-regularization-1903.10399</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-learn-stochastic-gradient-descent-with-biased-regularization-1903.10399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-learn-stochastic-gradient-descent-with-biased-regularization-1903.10399"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-use-of-deep-autoencoders-for-efficient-embedded-reinforcement-learning-1903.10404</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-use-of-deep-autoencoders-for-efficient-embedded-reinforcement-learning-1903.10404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-use-of-deep-autoencoders-for-efficient-embedded-reinforcement-learning-1903.10404"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-learning-based-human-activity-recognition-1903.10416</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-learning-based-human-activity-recognition-1903.10416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-learning-based-human-activity-recognition-1903.10416"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-excessive-invariance-caused-by-norm-bounded-adversarial-robustness-1903.10484</loc><lastmod>2019-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-excessive-invariance-caused-by-norm-bounded-adversarial-robustness-1903.10484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-excessive-invariance-caused-by-norm-bounded-adversarial-robustness-1903.10484"/></url>
<url><loc>https://scifaro.com/en/abs/gene-expression-based-survival-prediction-for-cancer-patients-a-topic-modeling-approach-1903.10536</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gene-expression-based-survival-prediction-for-cancer-patients-a-topic-modeling-approach-1903.10536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gene-expression-based-survival-prediction-for-cancer-patients-a-topic-modeling-approach-1903.10536"/></url>
<url><loc>https://scifaro.com/en/abs/general-probabilistic-surface-optimization-and-log-density-estimation-1903.10567</loc><lastmod>2021-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-probabilistic-surface-optimization-and-log-density-estimation-1903.10567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-probabilistic-surface-optimization-and-log-density-estimation-1903.10567"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-functional-equivalence-of-tsk-fuzzy-systems-to-neural-networks-mixture-of-experts-cart-and-stacking-ensemble-regression-1903.10572</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-functional-equivalence-of-tsk-fuzzy-systems-to-neural-networks-mixture-of-experts-cart-and-stacking-ensemble-regression-1903.10572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-functional-equivalence-of-tsk-fuzzy-systems-to-neural-networks-mixture-of-experts-cart-and-stacking-ensemble-regression-1903.10572"/></url>
<url><loc>https://scifaro.com/en/abs/augmenting-gastrointestinal-health-a-deep-learning-approach-to-human-stool-recognition-and-characterization-in-macroscopic-images-1903.10578</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmenting-gastrointestinal-health-a-deep-learning-approach-to-human-stool-recognition-and-characterization-in-macroscopic-images-1903.10578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmenting-gastrointestinal-health-a-deep-learning-approach-to-human-stool-recognition-and-characterization-in-macroscopic-images-1903.10578"/></url>
<url><loc>https://scifaro.com/en/abs/defending-against-whitebox-adversarial-attacks-via-randomized-discretization-1903.10586</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defending-against-whitebox-adversarial-attacks-via-randomized-discretization-1903.10586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defending-against-whitebox-adversarial-attacks-via-randomized-discretization-1903.10586"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-the-dilution-an-analysis-of-the-information-sensitiveness-of-capsule-network-with-a-practical-improvement-method-1903.10588</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-the-dilution-an-analysis-of-the-information-sensitiveness-of-capsule-network-with-a-practical-improvement-method-1903.10588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-the-dilution-an-analysis-of-the-information-sensitiveness-of-capsule-network-with-a-practical-improvement-method-1903.10588"/></url>
<url><loc>https://scifaro.com/en/abs/learning-optimal-and-fair-decision-trees-for-non-discriminative-decision-making-1903.10598</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-optimal-and-fair-decision-trees-for-non-discriminative-decision-making-1903.10598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-optimal-and-fair-decision-trees-for-non-discriminative-decision-making-1903.10598"/></url>
<url><loc>https://scifaro.com/en/abs/increasing-iterate-averaging-for-solving-saddle-point-problems-1903.10646</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/increasing-iterate-averaging-for-solving-saddle-point-problems-1903.10646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/increasing-iterate-averaging-for-solving-saddle-point-problems-1903.10646"/></url>
<url><loc>https://scifaro.com/en/abs/failure-scenario-maker-for-rule-based-agent-using-multi-agent-adversarial-reinforcement-learning-and-its-application-to-autonomous-driving-1903.10654</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/failure-scenario-maker-for-rule-based-agent-using-multi-agent-adversarial-reinforcement-learning-and-its-application-to-autonomous-driving-1903.10654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/failure-scenario-maker-for-rule-based-agent-using-multi-agent-adversarial-reinforcement-learning-and-its-application-to-autonomous-driving-1903.10654"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-of-neural-networks-to-parameter-quantization-1903.10672</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-of-neural-networks-to-parameter-quantization-1903.10672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-of-neural-networks-to-parameter-quantization-1903.10672"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-load-forecasting-at-different-aggregation-levels-with-predictability-analysis-1903.10679</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-load-forecasting-at-different-aggregation-levels-with-predictability-analysis-1903.10679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-load-forecasting-at-different-aggregation-levels-with-predictability-analysis-1903.10679"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-load-forecasting-via-point-forecast-feature-integration-1903.10684</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-load-forecasting-via-point-forecast-feature-integration-1903.10684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-load-forecasting-via-point-forecast-feature-integration-1903.10684"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-theory-of-dynamic-graph-regression-problem-1903.10699</loc><lastmod>2022-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-theory-of-dynamic-graph-regression-problem-1903.10699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-theory-of-dynamic-graph-regression-problem-1903.10699"/></url>
<url><loc>https://scifaro.com/en/abs/interoperability-and-machine-to-machine-translation-model-with-mappings-to-machine-learning-tasks-1903.10735</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interoperability-and-machine-to-machine-translation-model-with-mappings-to-machine-learning-tasks-1903.10735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interoperability-and-machine-to-machine-translation-model-with-mappings-to-machine-learning-tasks-1903.10735"/></url>
<url><loc>https://scifaro.com/en/abs/generative-tensor-network-classification-model-for-supervised-machine-learning-1903.10742</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-tensor-network-classification-model-for-supervised-machine-learning-1903.10742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-tensor-network-classification-model-for-supervised-machine-learning-1903.10742"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometry-inspired-decision-based-attack-1903.10826</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometry-inspired-decision-based-attack-1903.10826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometry-inspired-decision-based-attack-1903.10826"/></url>
<url><loc>https://scifaro.com/en/abs/active-stacking-for-heart-rate-estimation-1903.10862</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-stacking-for-heart-rate-estimation-1903.10862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-stacking-for-heart-rate-estimation-1903.10862"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-the-similarity-between-materials-with-an-emphasis-on-the-materials-distinctiveness-1903.10867</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-the-similarity-between-materials-with-an-emphasis-on-the-materials-distinctiveness-1903.10867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-the-similarity-between-materials-with-an-emphasis-on-the-materials-distinctiveness-1903.10867"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-and-improved-bounds-for-online-learning-under-finite-hypothesis-class-1903.10870</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-and-improved-bounds-for-online-learning-under-finite-hypothesis-class-1903.10870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-and-improved-bounds-for-online-learning-under-finite-hypothesis-class-1903.10870"/></url>
<url><loc>https://scifaro.com/en/abs/interference-prediction-in-wireless-networks-stochastic-geometry-meets-recursive-filtering-1903.10899</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interference-prediction-in-wireless-networks-stochastic-geometry-meets-recursive-filtering-1903.10899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interference-prediction-in-wireless-networks-stochastic-geometry-meets-recursive-filtering-1903.10899"/></url>
<url><loc>https://scifaro.com/en/abs/attention-based-convolutional-neural-network-for-weakly-labeled-human-activities-recognition-with-wearable-sensors-1903.10909</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-based-convolutional-neural-network-for-weakly-labeled-human-activities-recognition-with-wearable-sensors-1903.10909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-based-convolutional-neural-network-for-weakly-labeled-human-activities-recognition-with-wearable-sensors-1903.10909"/></url>
<url><loc>https://scifaro.com/en/abs/classifying-partially-labeled-networked-data-via-logistic-network-lasso-1903.10926</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifying-partially-labeled-networked-data-via-logistic-network-lasso-1903.10926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifying-partially-labeled-networked-data-via-logistic-network-lasso-1903.10926"/></url>
<url><loc>https://scifaro.com/en/abs/optimize-tsk-fuzzy-systems-for-regression-problems-mini-batch-gradient-descent-with-regularization-droprule-and-adabound-mbgd-rda-1903.10951</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimize-tsk-fuzzy-systems-for-regression-problems-mini-batch-gradient-descent-with-regularization-droprule-and-adabound-mbgd-rda-1903.10951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimize-tsk-fuzzy-systems-for-regression-problems-mini-batch-gradient-descent-with-regularization-droprule-and-adabound-mbgd-rda-1903.10951"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-influence-of-bias-correction-on-distributed-stochastic-optimization-1903.10956</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-influence-of-bias-correction-on-distributed-stochastic-optimization-1903.10956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-influence-of-bias-correction-on-distributed-stochastic-optimization-1903.10956"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-learning-for-variable-selection-with-structures-and-nonlinearities-1903.10978</loc><lastmod>2019-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-learning-for-variable-selection-with-structures-and-nonlinearities-1903.10978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-learning-for-variable-selection-with-structures-and-nonlinearities-1903.10978"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-deep-neural-networks-with-a-polynomial-time-algorithm-for-shapley-values-approximation-1903.10992</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-deep-neural-networks-with-a-polynomial-time-algorithm-for-shapley-values-approximation-1903.10992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-deep-neural-networks-with-a-polynomial-time-algorithm-for-shapley-values-approximation-1903.10992"/></url>
<url><loc>https://scifaro.com/en/abs/improved-robustness-of-reinforcement-learning-policies-upon-conversion-to-spiking-neuronal-network-platforms-applied-to-atari-games-1903.11012</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-robustness-of-reinforcement-learning-policies-upon-conversion-to-spiking-neuronal-network-platforms-applied-to-atari-games-1903.11012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-robustness-of-reinforcement-learning-policies-upon-conversion-to-spiking-neuronal-network-platforms-applied-to-atari-games-1903.11012"/></url>
<url><loc>https://scifaro.com/en/abs/domain-independent-svm-for-transfer-learning-in-brain-decoding-1903.11020</loc><lastmod>2025-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-independent-svm-for-transfer-learning-in-brain-decoding-1903.11020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-independent-svm-for-transfer-learning-in-brain-decoding-1903.11020"/></url>
<url><loc>https://scifaro.com/en/abs/nuscenes-a-multimodal-dataset-for-autonomous-driving-1903.11027</loc><lastmod>2020-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nuscenes-a-multimodal-dataset-for-autonomous-driving-1903.11027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nuscenes-a-multimodal-dataset-for-autonomous-driving-1903.11027"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-learned-abnormal-trajectory-classifier-1903.11040</loc><lastmod>2019-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-learned-abnormal-trajectory-classifier-1903.11040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-learned-abnormal-trajectory-classifier-1903.11040"/></url>
<url><loc>https://scifaro.com/en/abs/a-method-on-selecting-reliable-samples-based-on-fuzziness-in-positive-and-unlabeled-learning-1903.11064</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-method-on-selecting-reliable-samples-based-on-fuzziness-in-positive-and-unlabeled-learning-1903.11064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-method-on-selecting-reliable-samples-based-on-fuzziness-in-positive-and-unlabeled-learning-1903.11064"/></url>
<url><loc>https://scifaro.com/en/abs/cross-modal-data-programming-enables-rapid-medical-machine-learning-1903.11101</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-modal-data-programming-enables-rapid-medical-machine-learning-1903.11101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-modal-data-programming-enables-rapid-medical-machine-learning-1903.11101"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-active-learning-on-sensitive-data-for-user-intent-classification-1903.11112</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-active-learning-on-sensitive-data-for-user-intent-classification-1903.11112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-active-learning-on-sensitive-data-for-user-intent-classification-1903.11112"/></url>
<url><loc>https://scifaro.com/en/abs/susi-supervised-self-organizing-maps-for-regression-and-classification-in-python-1903.11114</loc><lastmod>2020-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/susi-supervised-self-organizing-maps-for-regression-and-classification-in-python-1903.11114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/susi-supervised-self-organizing-maps-for-regression-and-classification-in-python-1903.11114"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-multisource-tradaboost-1903.11158</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-multisource-tradaboost-1903.11158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-multisource-tradaboost-1903.11158"/></url>
<url><loc>https://scifaro.com/en/abs/using-machine-learning-to-create-high-efficiency-freeform-illumination-design-tools-1903.11166</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-machine-learning-to-create-high-efficiency-freeform-illumination-design-tools-1903.11166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-machine-learning-to-create-high-efficiency-freeform-illumination-design-tools-1903.11166"/></url>
<url><loc>https://scifaro.com/en/abs/localized-linear-regression-in-networked-data-1903.11178</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/localized-linear-regression-in-networked-data-1903.11178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/localized-linear-regression-in-networked-data-1903.11178"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-regression-with-robust-loss-function-via-iteratively-reweighted-least-squares-1903.11202</loc><lastmod>2020-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-regression-with-robust-loss-function-via-iteratively-reweighted-least-squares-1903.11202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-regression-with-robust-loss-function-via-iteratively-reweighted-least-squares-1903.11202"/></url>
<url><loc>https://scifaro.com/en/abs/data-science-and-digital-systems-the-3ds-of-machine-learning-systems-design-1903.11241</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-science-and-digital-systems-the-3ds-of-machine-learning-systems-design-1903.11241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-science-and-digital-systems-the-3ds-of-machine-learning-systems-design-1903.11241"/></url>
<url><loc>https://scifaro.com/en/abs/improving-route-choice-models-by-incorporating-contextual-factors-via-knowledge-distillation-1903.11253</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-route-choice-models-by-incorporating-contextual-factors-via-knowledge-distillation-1903.11253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-route-choice-models-by-incorporating-contextual-factors-via-knowledge-distillation-1903.11253"/></url>
<url><loc>https://scifaro.com/en/abs/how-can-we-be-so-dense-the-benefits-of-using-highly-sparse-representations-1903.11257</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-can-we-be-so-dense-the-benefits-of-using-highly-sparse-representations-1903.11257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-can-we-be-so-dense-the-benefits-of-using-highly-sparse-representations-1903.11257"/></url>
<url><loc>https://scifaro.com/en/abs/towards-stable-symbol-grounding-with-zero-suppressed-state-autoencoder-1903.11277</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-stable-symbol-grounding-with-zero-suppressed-state-autoencoder-1903.11277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-stable-symbol-grounding-with-zero-suppressed-state-autoencoder-1903.11277"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-off-policy-actor-critic-1903.11329</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-off-policy-actor-critic-1903.11329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-off-policy-actor-critic-1903.11329"/></url>
<url><loc>https://scifaro.com/en/abs/active-multi-information-source-bayesian-quadrature-1903.11331</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-multi-information-source-bayesian-quadrature-1903.11331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-multi-information-source-bayesian-quadrature-1903.11331"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-attention-generative-adversarial-networks-for-cross-domain-sentiment-classification-1903.11334</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-attention-generative-adversarial-networks-for-cross-domain-sentiment-classification-1903.11334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-attention-generative-adversarial-networks-for-cross-domain-sentiment-classification-1903.11334"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-the-randomized-gradient-free-adversarial-attack-reveals-overestimation-of-robustness-using-established-attacks-1903.11359</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-the-randomized-gradient-free-adversarial-attack-reveals-overestimation-of-robustness-using-established-attacks-1903.11359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-the-randomized-gradient-free-adversarial-attack-reveals-overestimation-of-robustness-using-established-attacks-1903.11359"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-knowledge-graph-embedding-methods-from-a-multi-embedding-interaction-perspective-1903.11406</loc><lastmod>2023-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-knowledge-graph-embedding-methods-from-a-multi-embedding-interaction-perspective-1903.11406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-knowledge-graph-embedding-methods-from-a-multi-embedding-interaction-perspective-1903.11406"/></url>
<url><loc>https://scifaro.com/en/abs/do-not-trust-additive-explanations-1903.11420</loc><lastmod>2020-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-not-trust-additive-explanations-1903.11420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-not-trust-additive-explanations-1903.11420"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-data-driven-detection-of-the-rock-type-alteration-during-a-directional-drilling-1903.11436</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-data-driven-detection-of-the-rock-type-alteration-during-a-directional-drilling-1903.11436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-data-driven-detection-of-the-rock-type-alteration-during-a-directional-drilling-1903.11436"/></url>
<url><loc>https://scifaro.com/en/abs/a-sober-look-at-neural-network-initializations-1903.11482</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sober-look-at-neural-network-initializations-1903.11482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sober-look-at-neural-network-initializations-1903.11482"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-parsimonious-analytic-models-for-dynamic-systems-via-symbolic-regression-1903.11483</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-parsimonious-analytic-models-for-dynamic-systems-via-symbolic-regression-1903.11483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-parsimonious-analytic-models-for-dynamic-systems-via-symbolic-regression-1903.11483"/></url>
<url><loc>https://scifaro.com/en/abs/autoregressive-policies-for-continuous-control-deep-reinforcement-learning-1903.11524</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoregressive-policies-for-continuous-control-deep-reinforcement-learning-1903.11524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoregressive-policies-for-continuous-control-deep-reinforcement-learning-1903.11524"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-image-based-malware-classification-1903.11551</loc><lastmod>2019-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-image-based-malware-classification-1903.11551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-image-based-malware-classification-1903.11551"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-adversarial-robustness-and-gradient-interpretability-1903.11626</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-adversarial-robustness-and-gradient-interpretability-1903.11626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-adversarial-robustness-and-gradient-interpretability-1903.11626"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-deep-learning-in-eeg-biometrics-1903.11673</loc><lastmod>2019-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-deep-learning-in-eeg-biometrics-1903.11673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-deep-learning-in-eeg-biometrics-1903.11673"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-with-early-stopping-is-provably-robust-to-label-noise-for-overparameterized-neural-networks-1903.11680</loc><lastmod>2019-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-with-early-stopping-is-provably-robust-to-label-noise-for-overparameterized-neural-networks-1903.11680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-with-early-stopping-is-provably-robust-to-label-noise-for-overparameterized-neural-networks-1903.11680"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-in-algorithmic-decision-making-an-excursion-through-the-lens-of-causality-1903.11719</loc><lastmod>2019-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-in-algorithmic-decision-making-an-excursion-through-the-lens-of-causality-1903.11719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-in-algorithmic-decision-making-an-excursion-through-the-lens-of-causality-1903.11719"/></url>
<url><loc>https://scifaro.com/en/abs/medical-time-series-classification-with-hierarchical-attention-based-temporal-convolutional-networks-a-case-study-of-myotonic-dystrophy-diagnosis-1903.11748</loc><lastmod>2019-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/medical-time-series-classification-with-hierarchical-attention-based-temporal-convolutional-networks-a-case-study-of-myotonic-dystrophy-diagnosis-1903.11748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/medical-time-series-classification-with-hierarchical-attention-based-temporal-convolutional-networks-a-case-study-of-myotonic-dystrophy-diagnosis-1903.11748"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-pick-the-domain-randomization-parameters-for-sim-to-real-transfer-of-reinforcement-learning-policies-1903.11774</loc><lastmod>2019-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-pick-the-domain-randomization-parameters-for-sim-to-real-transfer-of-reinforcement-learning-policies-1903.11774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-pick-the-domain-randomization-parameters-for-sim-to-real-transfer-of-reinforcement-learning-policies-1903.11774"/></url>
<url><loc>https://scifaro.com/en/abs/atrial-fibrillation-detection-using-deep-features-and-convolutional-networks-1903.11775</loc><lastmod>2019-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/atrial-fibrillation-detection-using-deep-features-and-convolutional-networks-1903.11775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/atrial-fibrillation-detection-using-deep-features-and-convolutional-networks-1903.11775"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-dependency-measure-for-representation-learning-1903.11780</loc><lastmod>2019-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-dependency-measure-for-representation-learning-1903.11780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-dependency-measure-for-representation-learning-1903.11780"/></url>
<url><loc>https://scifaro.com/en/abs/step-change-improvement-in-admet-prediction-with-potentialnet-deep-featurization-1903.11789</loc><lastmod>2019-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/step-change-improvement-in-admet-prediction-with-potentialnet-deep-featurization-1903.11789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/step-change-improvement-in-admet-prediction-with-potentialnet-deep-featurization-1903.11789"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-graph-kernels-1903.11835</loc><lastmod>2020-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-graph-kernels-1903.11835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-graph-kernels-1903.11835"/></url>
<url><loc>https://scifaro.com/en/abs/addressing-model-vulnerability-to-distributional-shifts-over-image-transformation-sets-1903.11900</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addressing-model-vulnerability-to-distributional-shifts-over-image-transformation-sets-1903.11900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addressing-model-vulnerability-to-distributional-shifts-over-image-transformation-sets-1903.11900"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-deep-learning-long-short-term-memory-in-energy-demand-forecasting-1903.11941</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-deep-learning-long-short-term-memory-in-energy-demand-forecasting-1903.11941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-deep-learning-long-short-term-memory-in-energy-demand-forecasting-1903.11941"/></url>
<url><loc>https://scifaro.com/en/abs/learning-discrete-structures-for-graph-neural-networks-1903.11960</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-discrete-structures-for-graph-neural-networks-1903.11960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-discrete-structures-for-graph-neural-networks-1903.11960"/></url>
<url><loc>https://scifaro.com/en/abs/regularizing-trajectory-optimization-with-denoising-autoencoders-1903.11981</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizing-trajectory-optimization-with-denoising-autoencoders-1903.11981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizing-trajectory-optimization-with-denoising-autoencoders-1903.11981"/></url>
<url><loc>https://scifaro.com/en/abs/parabolic-approximation-line-search-for-dnns-1903.11991</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parabolic-approximation-line-search-for-dnns-1903.11991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parabolic-approximation-line-search-for-dnns-1903.11991"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-deep-network-embedding-with-integrated-structure-and-attribute-information-1903.12019</loc><lastmod>2019-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-deep-network-embedding-with-integrated-structure-and-attribute-information-1903.12019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-deep-network-embedding-with-integrated-structure-and-attribute-information-1903.12019"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-weight-for-text-classification-1903.12090</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-weight-for-text-classification-1903.12090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-weight-for-text-classification-1903.12090"/></url>
<url><loc>https://scifaro.com/en/abs/improving-cross-corpus-speech-emotion-recognition-with-adversarial-discriminative-domain-generalization-addog-1903.12094</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-cross-corpus-speech-emotion-recognition-with-adversarial-discriminative-domain-generalization-addog-1903.12094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-cross-corpus-speech-emotion-recognition-with-adversarial-discriminative-domain-generalization-addog-1903.12094"/></url>
<url><loc>https://scifaro.com/en/abs/using-latent-class-analysis-to-identify-ards-sub-phenotypes-for-enhanced-machine-learning-predictive-performance-1903.12127</loc><lastmod>2019-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-latent-class-analysis-to-identify-ards-sub-phenotypes-for-enhanced-machine-learning-predictive-performance-1903.12127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-latent-class-analysis-to-identify-ards-sub-phenotypes-for-enhanced-machine-learning-predictive-performance-1903.12127"/></url>
<url><loc>https://scifaro.com/en/abs/imae-for-noise-robust-learning-mean-absolute-error-does-not-treat-examples-equally-and-gradient-magnitude-s-variance-matters-1903.12141</loc><lastmod>2023-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imae-for-noise-robust-learning-mean-absolute-error-does-not-treat-examples-equally-and-gradient-magnitude-s-variance-matters-1903.12141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imae-for-noise-robust-learning-mean-absolute-error-does-not-treat-examples-equally-and-gradient-magnitude-s-variance-matters-1903.12141"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-feature-transformation-learning-for-brain-interfaces-1903.12235</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-feature-transformation-learning-for-brain-interfaces-1903.12235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-feature-transformation-learning-for-brain-interfaces-1903.12235"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-neural-network-robustness-to-common-corruptions-and-perturbations-1903.12261</loc><lastmod>2019-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-neural-network-robustness-to-common-corruptions-and-perturbations-1903.12261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-neural-network-robustness-to-common-corruptions-and-perturbations-1903.12261"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-networks-recent-developments-1903.12266</loc><lastmod>2019-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-networks-recent-developments-1903.12266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-networks-recent-developments-1903.12266"/></url>
<url><loc>https://scifaro.com/en/abs/pytorch-biggraph-a-large-scale-graph-embedding-system-1903.12287</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pytorch-biggraph-a-large-scale-graph-embedding-system-1903.12287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pytorch-biggraph-a-large-scale-graph-embedding-system-1903.12287"/></url>
<url><loc>https://scifaro.com/en/abs/improved-reinforcement-learning-with-curriculum-1903.12328</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-reinforcement-learning-with-curriculum-1903.12328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-reinforcement-learning-with-curriculum-1903.12328"/></url>
<url><loc>https://scifaro.com/en/abs/learning-good-representation-via-continuous-attention-1903.12344</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-good-representation-via-continuous-attention-1903.12344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-good-representation-via-continuous-attention-1903.12344"/></url>
<url><loc>https://scifaro.com/en/abs/the-challenge-of-predicting-meal-to-meal-blood-glucose-concentrations-for-patients-with-type-i-diabetes-1903.12347</loc><lastmod>2019-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-challenge-of-predicting-meal-to-meal-blood-glucose-concentrations-for-patients-with-type-i-diabetes-1903.12347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-challenge-of-predicting-meal-to-meal-blood-glucose-concentrations-for-patients-with-type-i-diabetes-1903.12347"/></url>
<url><loc>https://scifaro.com/en/abs/deep-representation-with-relu-neural-networks-1903.12384</loc><lastmod>2019-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-representation-with-relu-neural-networks-1903.12384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-representation-with-relu-neural-networks-1903.12384"/></url>
<url><loc>https://scifaro.com/en/abs/online-variance-reduction-with-mixtures-1903.12416</loc><lastmod>2019-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-variance-reduction-with-mixtures-1903.12416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-variance-reduction-with-mixtures-1903.12416"/></url>
<url><loc>https://scifaro.com/en/abs/snore-gans-improving-automatic-snore-sound-classification-with-synthesized-data-1903.12422</loc><lastmod>2019-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/snore-gans-improving-automatic-snore-sound-classification-with-synthesized-data-1903.12422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/snore-gans-improving-automatic-snore-sound-classification-with-synthesized-data-1903.12422"/></url>
<url><loc>https://scifaro.com/en/abs/from-variational-to-deterministic-autoencoders-1903.12436</loc><lastmod>2020-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-variational-to-deterministic-autoencoders-1903.12436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-variational-to-deterministic-autoencoders-1903.12436"/></url>
<url><loc>https://scifaro.com/en/abs/online-multi-target-regression-trees-with-stacked-leaf-models-1903.12483</loc><lastmod>2020-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-multi-target-regression-trees-with-stacked-leaf-models-1903.12483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-multi-target-regression-trees-with-stacked-leaf-models-1903.12483"/></url>
<url><loc>https://scifaro.com/en/abs/cross-subject-transfer-learning-in-human-activity-recognition-systems-using-generative-adversarial-networks-1903.12489</loc><lastmod>2020-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-subject-transfer-learning-in-human-activity-recognition-systems-using-generative-adversarial-networks-1903.12489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-subject-transfer-learning-in-human-activity-recognition-systems-using-generative-adversarial-networks-1903.12489"/></url>
<url><loc>https://scifaro.com/en/abs/a-provable-defense-for-deep-residual-networks-1903.12519</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-provable-defense-for-deep-residual-networks-1903.12519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-provable-defense-for-deep-residual-networks-1903.12519"/></url>
<url><loc>https://scifaro.com/en/abs/deep-network-for-capacitive-ecg-denoising-1903.12536</loc><lastmod>2019-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-network-for-capacitive-ecg-denoising-1903.12536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-network-for-capacitive-ecg-denoising-1903.12536"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-forecasting-of-sensory-data-with-generative-adversarial-networks-forgan-1903.12549</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-forecasting-of-sensory-data-with-generative-adversarial-networks-forgan-1903.12549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-forecasting-of-sensory-data-with-generative-adversarial-networks-forgan-1903.12549"/></url>
<url><loc>https://scifaro.com/en/abs/learning-relational-representations-with-auto-encoding-logic-programs-1903.12577</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-relational-representations-with-auto-encoding-logic-programs-1903.12577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-relational-representations-with-auto-encoding-logic-programs-1903.12577"/></url>
<url><loc>https://scifaro.com/en/abs/yet-another-accelerated-sgd-resnet-50-training-on-imagenet-in-74-7-seconds-1903.12650</loc><lastmod>2019-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/yet-another-accelerated-sgd-resnet-50-training-on-imagenet-in-74-7-seconds-1903.12650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/yet-another-accelerated-sgd-resnet-50-training-on-imagenet-in-74-7-seconds-1903.12650"/></url>
<url><loc>https://scifaro.com/en/abs/a-gaussian-process-latent-force-model-for-joint-input-state-estimation-in-linear-structural-systems-1904.00093</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gaussian-process-latent-force-model-for-joint-input-state-estimation-in-linear-structural-systems-1904.00093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gaussian-process-latent-force-model-for-joint-input-state-estimation-in-linear-structural-systems-1904.00093"/></url>
<url><loc>https://scifaro.com/en/abs/robust-subspace-recovery-layer-for-unsupervised-anomaly-detection-1904.00152</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-subspace-recovery-layer-for-unsupervised-anomaly-detection-1904.00152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-subspace-recovery-layer-for-unsupervised-anomaly-detection-1904.00152"/></url>
<url><loc>https://scifaro.com/en/abs/ee-ae-an-exclusivity-enhanced-unsupervised-feature-learning-approach-1904.00172</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ee-ae-an-exclusivity-enhanced-unsupervised-feature-learning-approach-1904.00172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ee-ae-an-exclusivity-enhanced-unsupervised-feature-learning-approach-1904.00172"/></url>
<url><loc>https://scifaro.com/en/abs/symmetry-based-disentangled-representation-learning-requires-interaction-with-environments-1904.00243</loc><lastmod>2019-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetry-based-disentangled-representation-learning-requires-interaction-with-environments-1904.00243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetry-based-disentangled-representation-learning-requires-interaction-with-environments-1904.00243"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-model-for-semitransparent-watercolor-pigment-mixtures-using-deep-learning-with-a-dataset-of-transmittance-and-reflectance-1904.00275</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-model-for-semitransparent-watercolor-pigment-mixtures-using-deep-learning-with-a-dataset-of-transmittance-and-reflectance-1904.00275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-model-for-semitransparent-watercolor-pigment-mixtures-using-deep-learning-with-a-dataset-of-transmittance-and-reflectance-1904.00275"/></url>
<url><loc>https://scifaro.com/en/abs/coco-gan-generation-by-parts-via-conditional-coordinating-1904.00284</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coco-gan-generation-by-parts-via-conditional-coordinating-1904.00284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coco-gan-generation-by-parts-via-conditional-coordinating-1904.00284"/></url>
<url><loc>https://scifaro.com/en/abs/learn-to-grow-a-continual-structure-learning-framework-for-overcoming-catastrophic-forgetting-1904.00310</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-to-grow-a-continual-structure-learning-framework-for-overcoming-catastrophic-forgetting-1904.00310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-to-grow-a-continual-structure-learning-framework-for-overcoming-catastrophic-forgetting-1904.00310"/></url>
<url><loc>https://scifaro.com/en/abs/molecular-geometry-prediction-using-a-deep-generative-graph-neural-network-1904.00314</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molecular-geometry-prediction-using-a-deep-generative-graph-neural-network-1904.00314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molecular-geometry-prediction-using-a-deep-generative-graph-neural-network-1904.00314"/></url>
<url><loc>https://scifaro.com/en/abs/sysml-19-demo-customizable-and-reusable-collective-knowledge-pipelines-to-automate-and-reproduce-machine-learning-experiments-1904.00324</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sysml-19-demo-customizable-and-reusable-collective-knowledge-pipelines-to-automate-and-reproduce-machine-learning-experiments-1904.00324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sysml-19-demo-customizable-and-reusable-collective-knowledge-pipelines-to-automate-and-reproduce-machine-learning-experiments-1904.00324"/></url>
<url><loc>https://scifaro.com/en/abs/medgcn-medication-recommendation-and-lab-test-imputation-via-graph-convolutional-networks-1904.00326</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/medgcn-medication-recommendation-and-lab-test-imputation-via-graph-convolutional-networks-1904.00326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/medgcn-medication-recommendation-and-lab-test-imputation-via-graph-convolutional-networks-1904.00326"/></url>
<url><loc>https://scifaro.com/en/abs/fourier-transform-approach-to-machine-learning-i-fourier-regression-1904.00368</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fourier-transform-approach-to-machine-learning-i-fourier-regression-1904.00368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fourier-transform-approach-to-machine-learning-i-fourier-regression-1904.00368"/></url>
<url><loc>https://scifaro.com/en/abs/variational-adversarial-active-learning-1904.00370</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-adversarial-active-learning-1904.00370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-adversarial-active-learning-1904.00370"/></url>
<url><loc>https://scifaro.com/en/abs/clique-pooling-for-graph-classification-1904.00374</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clique-pooling-for-graph-classification-1904.00374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clique-pooling-for-graph-classification-1904.00374"/></url>
<url><loc>https://scifaro.com/en/abs/robust-low-rank-tensor-ring-completion-1904.00435</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-low-rank-tensor-ring-completion-1904.00435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-low-rank-tensor-ring-completion-1904.00435"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-neural-architecture-search-techniques-1904.00438</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-neural-architecture-search-techniques-1904.00438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-neural-architecture-search-techniques-1904.00438"/></url>
<url><loc>https://scifaro.com/en/abs/spamhmm-sparse-mixture-of-hidden-markov-models-for-graph-connected-entities-1904.00442</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spamhmm-sparse-mixture-of-hidden-markov-models-for-graph-connected-entities-1904.00442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spamhmm-sparse-mixture-of-hidden-markov-models-for-graph-connected-entities-1904.00442"/></url>
<url><loc>https://scifaro.com/en/abs/risk-averse-robust-adversarial-reinforcement-learning-1904.00511</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-averse-robust-adversarial-reinforcement-learning-1904.00511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-averse-robust-adversarial-reinforcement-learning-1904.00511"/></url>
<url><loc>https://scifaro.com/en/abs/summarizing-event-sequences-with-serial-episodes-a-statistical-model-and-an-application-1904.00516</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/summarizing-event-sequences-with-serial-episodes-a-statistical-model-and-an-application-1904.00516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/summarizing-event-sequences-with-serial-episodes-a-statistical-model-and-an-application-1904.00516"/></url>
<url><loc>https://scifaro.com/en/abs/vine-visualizing-statistical-interactions-in-black-box-models-1904.00561</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vine-visualizing-statistical-interactions-in-black-box-models-1904.00561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vine-visualizing-statistical-interactions-in-black-box-models-1904.00561"/></url>
<url><loc>https://scifaro.com/en/abs/deep-clustering-with-intra-class-distance-constraint-for-hyperspectral-images-1904.00562</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-clustering-with-intra-class-distance-constraint-for-hyperspectral-images-1904.00562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-clustering-with-intra-class-distance-constraint-for-hyperspectral-images-1904.00562"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-gan-based-fault-diagnosis-approach-for-imbalanced-industrial-time-series-1904.00575</loc><lastmod>2022-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-gan-based-fault-diagnosis-approach-for-imbalanced-industrial-time-series-1904.00575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-gan-based-fault-diagnosis-approach-for-imbalanced-industrial-time-series-1904.00575"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-bayesian-linear-regression-for-automated-machine-learning-1904.00577</loc><lastmod>2019-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-bayesian-linear-regression-for-automated-machine-learning-1904.00577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-bayesian-linear-regression-for-automated-machine-learning-1904.00577"/></url>
<url><loc>https://scifaro.com/en/abs/sound-source-ranging-using-a-feed-forward-neural-network-with-fitting-based-early-stopping-1904.00583</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sound-source-ranging-using-a-feed-forward-neural-network-with-fitting-based-early-stopping-1904.00583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sound-source-ranging-using-a-feed-forward-neural-network-with-fitting-based-early-stopping-1904.00583"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-power-control-for-large-energy-harvesting-networks-a-multi-agent-deep-reinforcement-learning-approach-1904.00601</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-power-control-for-large-energy-harvesting-networks-a-multi-agent-deep-reinforcement-learning-approach-1904.00601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-power-control-for-large-energy-harvesting-networks-a-multi-agent-deep-reinforcement-learning-approach-1904.00601"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-clinical-time-series-analysis-using-deep-neural-networks-1904.00655</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-clinical-time-series-analysis-using-deep-neural-networks-1904.00655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-clinical-time-series-analysis-using-deep-neural-networks-1904.00655"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-power-and-limitations-of-random-features-for-understanding-neural-networks-1904.00687</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-power-and-limitations-of-random-features-for-understanding-neural-networks-1904.00687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-power-and-limitations-of-random-features-for-understanding-neural-networks-1904.00687"/></url>
<url><loc>https://scifaro.com/en/abs/defending-against-adversarial-attacks-by-randomized-diversification-1904.00689</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defending-against-adversarial-attacks-by-randomized-diversification-1904.00689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defending-against-adversarial-attacks-by-randomized-diversification-1904.00689"/></url>
<url><loc>https://scifaro.com/en/abs/netherlands-dataset-a-new-public-dataset-for-machine-learning-in-seismic-interpretation-1904.00770</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/netherlands-dataset-a-new-public-dataset-for-machine-learning-in-seismic-interpretation-1904.00770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/netherlands-dataset-a-new-public-dataset-for-machine-learning-in-seismic-interpretation-1904.00770"/></url>
<url><loc>https://scifaro.com/en/abs/dsl-discriminative-subgraph-learning-via-sparse-self-representation-1904.00791</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dsl-discriminative-subgraph-learning-via-sparse-self-representation-1904.00791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dsl-discriminative-subgraph-learning-via-sparse-self-representation-1904.00791"/></url>
<url><loc>https://scifaro.com/en/abs/tree-search-network-for-sparse-regression-1904.00864</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-search-network-for-sparse-regression-1904.00864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-search-network-for-sparse-regression-1904.00864"/></url>
<url><loc>https://scifaro.com/en/abs/style-analyzer-fixing-code-style-inconsistencies-with-interpretable-unsupervised-algorithms-1904.00935</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/style-analyzer-fixing-code-style-inconsistencies-with-interpretable-unsupervised-algorithms-1904.00935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/style-analyzer-fixing-code-style-inconsistencies-with-interpretable-unsupervised-algorithms-1904.00935"/></url>
<url><loc>https://scifaro.com/en/abs/lutnet-rethinking-inference-in-fpga-soft-logic-1904.00938</loc><lastmod>2019-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lutnet-rethinking-inference-in-fpga-soft-logic-1904.00938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lutnet-rethinking-inference-in-fpga-soft-logic-1904.00938"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-for-biasing-signals-in-images-for-prognostic-models-survival-predictions-for-lung-cancer-with-deep-learning-1904.00942</loc><lastmod>2022-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-for-biasing-signals-in-images-for-prognostic-models-survival-predictions-for-lung-cancer-with-deep-learning-1904.00942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-for-biasing-signals-in-images-for-prognostic-models-survival-predictions-for-lung-cancer-with-deep-learning-1904.00942"/></url>
<url><loc>https://scifaro.com/en/abs/guided-meta-policy-search-1904.00956</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guided-meta-policy-search-1904.00956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guided-meta-policy-search-1904.00956"/></url>
<url><loc>https://scifaro.com/en/abs/large-batch-optimization-for-deep-learning-training-bert-in-76-minutes-1904.00962</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-batch-optimization-for-deep-learning-training-bert-in-76-minutes-1904.00962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-batch-optimization-for-deep-learning-training-bert-in-76-minutes-1904.00962"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-vulnerability-of-cnn-classifiers-in-eeg-based-bcis-1904.01002</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-vulnerability-of-cnn-classifiers-in-eeg-based-bcis-1904.01002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-vulnerability-of-cnn-classifiers-in-eeg-based-bcis-1904.01002"/></url>
<url><loc>https://scifaro.com/en/abs/multitask-soft-option-learning-1904.01033</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multitask-soft-option-learning-1904.01033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multitask-soft-option-learning-1904.01033"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-obfuscation-mechanisms-via-machine-learning-1904.01059</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-obfuscation-mechanisms-via-machine-learning-1904.01059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-obfuscation-mechanisms-via-machine-learning-1904.01059"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-sparse-classifier-for-adolescent-brain-age-prediction-1904.01070</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-sparse-classifier-for-adolescent-brain-age-prediction-1904.01070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-sparse-classifier-for-adolescent-brain-age-prediction-1904.01070"/></url>
<url><loc>https://scifaro.com/en/abs/deepcloud-the-application-of-a-data-driven-generative-model-in-design-1904.01083</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepcloud-the-application-of-a-data-driven-generative-model-in-design-1904.01083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepcloud-the-application-of-a-data-driven-generative-model-in-design-1904.01083"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-inductive-graph-level-representation-learning-via-graph-graph-proximity-1904.01098</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-inductive-graph-level-representation-learning-via-graph-graph-proximity-1904.01098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-inductive-graph-level-representation-learning-via-graph-graph-proximity-1904.01098"/></url>
<url><loc>https://scifaro.com/en/abs/cyberthreat-detection-from-twitter-using-deep-neural-networks-1904.01127</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cyberthreat-detection-from-twitter-using-deep-neural-networks-1904.01127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cyberthreat-detection-from-twitter-using-deep-neural-networks-1904.01127"/></url>
<url><loc>https://scifaro.com/en/abs/generative-predecessor-models-for-sample-efficient-imitation-learning-1904.01139</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-predecessor-models-for-sample-efficient-imitation-learning-1904.01139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-predecessor-models-for-sample-efficient-imitation-learning-1904.01139"/></url>
<url><loc>https://scifaro.com/en/abs/towards-efficient-and-unbiased-implementation-of-lipschitz-continuity-in-gans-1904.01184</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-efficient-and-unbiased-implementation-of-lipschitz-continuity-in-gans-1904.01184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-efficient-and-unbiased-implementation-of-lipschitz-continuity-in-gans-1904.01184"/></url>
<url><loc>https://scifaro.com/en/abs/data-free-learning-of-student-networks-1904.01186</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-free-learning-of-student-networks-1904.01186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-free-learning-of-student-networks-1904.01186"/></url>
<url><loc>https://scifaro.com/en/abs/planning-with-expectation-models-1904.01191</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/planning-with-expectation-models-1904.01191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/planning-with-expectation-models-1904.01191"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-cancer-chemotherapy-schedule-a-numerical-comparison-of-performance-and-robustness-in-model-based-and-model-free-scheduling-methodologies-1904.01200</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-cancer-chemotherapy-schedule-a-numerical-comparison-of-performance-and-robustness-in-model-based-and-model-free-scheduling-methodologies-1904.01200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-cancer-chemotherapy-schedule-a-numerical-comparison-of-performance-and-robustness-in-model-based-and-model-free-scheduling-methodologies-1904.01200"/></url>
<url><loc>https://scifaro.com/en/abs/peak-alignment-of-gas-chromatography-mass-spectrometry-data-with-deep-learning-1904.01205</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/peak-alignment-of-gas-chromatography-mass-spectrometry-data-with-deep-learning-1904.01205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/peak-alignment-of-gas-chromatography-mass-spectrometry-data-with-deep-learning-1904.01205"/></url>
<url><loc>https://scifaro.com/en/abs/fence-gan-towards-better-anomaly-detection-1904.01209</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fence-gan-towards-better-anomaly-detection-1904.01209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fence-gan-towards-better-anomaly-detection-1904.01209"/></url>
<url><loc>https://scifaro.com/en/abs/enhancement-of-energy-based-swing-up-controller-via-entropy-search-1904.01214</loc><lastmod>2019-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancement-of-energy-based-swing-up-controller-via-entropy-search-1904.01214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancement-of-energy-based-swing-up-controller-via-entropy-search-1904.01214"/></url>
<url><loc>https://scifaro.com/en/abs/experiments-on-open-set-speaker-identification-with-discriminatively-trained-neural-networks-1904.01269</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/experiments-on-open-set-speaker-identification-with-discriminatively-trained-neural-networks-1904.01269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/experiments-on-open-set-speaker-identification-with-discriminatively-trained-neural-networks-1904.01269"/></url>
<url><loc>https://scifaro.com/en/abs/correlated-parameters-to-accurately-measure-uncertainty-in-deep-neural-networks-1904.01334</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlated-parameters-to-accurately-measure-uncertainty-in-deep-neural-networks-1904.01334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlated-parameters-to-accurately-measure-uncertainty-in-deep-neural-networks-1904.01334"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-training-of-a-deep-clustering-model-for-multichannel-blind-source-separation-1904.01340</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-training-of-a-deep-clustering-model-for-multichannel-blind-source-separation-1904.01340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-training-of-a-deep-clustering-model-for-multichannel-blind-source-separation-1904.01340"/></url>
<url><loc>https://scifaro.com/en/abs/looking-back-at-labels-a-class-based-domain-adaptation-technique-1904.01341</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/looking-back-at-labels-a-class-based-domain-adaptation-technique-1904.01341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/looking-back-at-labels-a-class-based-domain-adaptation-technique-1904.01341"/></url>
<url><loc>https://scifaro.com/en/abs/easy-transfer-learning-by-exploiting-intra-domain-structures-1904.01376</loc><lastmod>2019-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/easy-transfer-learning-by-exploiting-intra-domain-structures-1904.01376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/easy-transfer-learning-by-exploiting-intra-domain-structures-1904.01376"/></url>
<url><loc>https://scifaro.com/en/abs/on-geometric-structure-of-activation-spaces-in-neural-networks-1904.01399</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-geometric-structure-of-activation-spaces-in-neural-networks-1904.01399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-geometric-structure-of-activation-spaces-in-neural-networks-1904.01399"/></url>
<url><loc>https://scifaro.com/en/abs/bcma-es-a-bayesian-approach-to-cma-es-1904.01401</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bcma-es-a-bayesian-approach-to-cma-es-1904.01401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bcma-es-a-bayesian-approach-to-cma-es-1904.01401"/></url>
<url><loc>https://scifaro.com/en/abs/bcma-es-ii-revisiting-bayesian-cma-es-1904.01466</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bcma-es-ii-revisiting-bayesian-cma-es-1904.01466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bcma-es-ii-revisiting-bayesian-cma-es-1904.01466"/></url>
<url><loc>https://scifaro.com/en/abs/feafa-a-well-annotated-dataset-for-facial-expression-analysis-and-3d-facial-animation-1904.01509</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feafa-a-well-annotated-dataset-for-facial-expression-analysis-and-3d-facial-animation-1904.01509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feafa-a-well-annotated-dataset-for-facial-expression-analysis-and-3d-facial-animation-1904.01509"/></url>
<url><loc>https://scifaro.com/en/abs/learning-algorithms-via-neural-logic-networks-1904.01554</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-algorithms-via-neural-logic-networks-1904.01554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-algorithms-via-neural-logic-networks-1904.01554"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-network-intrusion-detection-1904.01555</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-network-intrusion-detection-1904.01555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-network-intrusion-detection-1904.01555"/></url>
<url><loc>https://scifaro.com/en/abs/analysing-mathematical-reasoning-abilities-of-neural-models-1904.01557</loc><lastmod>2019-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysing-mathematical-reasoning-abilities-of-neural-models-1904.01557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysing-mathematical-reasoning-abilities-of-neural-models-1904.01557"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-learned-molecular-representations-for-property-prediction-1904.01561</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-learned-molecular-representations-for-property-prediction-1904.01561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-learned-molecular-representations-for-property-prediction-1904.01561"/></url>
<url><loc>https://scifaro.com/en/abs/generative-discriminative-complementary-learning-1904.01612</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-discriminative-complementary-learning-1904.01612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-discriminative-complementary-learning-1904.01612"/></url>
<url><loc>https://scifaro.com/en/abs/lessons-from-building-acoustic-models-with-a-million-hours-of-speech-1904.01624</loc><lastmod>2019-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lessons-from-building-acoustic-models-with-a-million-hours-of-speech-1904.01624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lessons-from-building-acoustic-models-with-a-million-hours-of-speech-1904.01624"/></url>
<url><loc>https://scifaro.com/en/abs/lautum-regularization-for-semi-supervised-transfer-learning-1904.01670</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lautum-regularization-for-semi-supervised-transfer-learning-1904.01670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lautum-regularization-for-semi-supervised-transfer-learning-1904.01670"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-calibration-in-deep-learning-1904.01685</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-calibration-in-deep-learning-1904.01685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-calibration-in-deep-learning-1904.01685"/></url>
<url><loc>https://scifaro.com/en/abs/neural-program-repair-by-jointly-learning-to-localize-and-repair-1904.01720</loc><lastmod>2019-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-program-repair-by-jointly-learning-to-localize-and-repair-1904.01720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-program-repair-by-jointly-learning-to-localize-and-repair-1904.01720"/></url>
<url><loc>https://scifaro.com/en/abs/on-better-exploring-and-exploiting-task-relationships-in-multi-task-learning-joint-model-and-feature-learning-1904.01747</loc><lastmod>2019-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-better-exploring-and-exploiting-task-relationships-in-multi-task-learning-joint-model-and-feature-learning-1904.01747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-better-exploring-and-exploiting-task-relationships-in-multi-task-learning-joint-model-and-feature-learning-1904.01747"/></url>
<url><loc>https://scifaro.com/en/abs/exponentially-convergent-stochastic-k-pca-without-variance-reduction-1904.01750</loc><lastmod>2019-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponentially-convergent-stochastic-k-pca-without-variance-reduction-1904.01750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponentially-convergent-stochastic-k-pca-without-variance-reduction-1904.01750"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-representation-learning-using-deep-multiset-canonical-correlation-1904.01775</loc><lastmod>2023-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-representation-learning-using-deep-multiset-canonical-correlation-1904.01775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-representation-learning-using-deep-multiset-canonical-correlation-1904.01775"/></url>
<url><loc>https://scifaro.com/en/abs/defeats-gan-a-simpler-model-outperforms-in-knowledge-representation-learning-1904.01777</loc><lastmod>2019-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defeats-gan-a-simpler-model-outperforms-in-knowledge-representation-learning-1904.01777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defeats-gan-a-simpler-model-outperforms-in-knowledge-representation-learning-1904.01777"/></url>
<url><loc>https://scifaro.com/en/abs/random-projection-in-neural-episodic-control-1904.01790</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-projection-in-neural-episodic-control-1904.01790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-projection-in-neural-episodic-control-1904.01790"/></url>
<url><loc>https://scifaro.com/en/abs/preference-informed-fairness-1904.01793</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preference-informed-fairness-1904.01793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preference-informed-fairness-1904.01793"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-on-a-budget-3d-control-and-reasoning-without-a-supercomputer-1904.01806</loc><lastmod>2019-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-on-a-budget-3d-control-and-reasoning-without-a-supercomputer-1904.01806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-on-a-budget-3d-control-and-reasoning-without-a-supercomputer-1904.01806"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-for-rotation-invariance-approximation-and-learning-1904.01814</loc><lastmod>2019-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-for-rotation-invariance-approximation-and-learning-1904.01814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-for-rotation-invariance-approximation-and-learning-1904.01814"/></url>
<url><loc>https://scifaro.com/en/abs/model-slicing-for-supporting-complex-analytics-with-elastic-inference-cost-and-resource-constraints-1904.01831</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-slicing-for-supporting-complex-analytics-with-elastic-inference-cost-and-resource-constraints-1904.01831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-slicing-for-supporting-complex-analytics-with-elastic-inference-cost-and-resource-constraints-1904.01831"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-under-uncertainty-in-the-era-of-big-data-and-deep-learning-when-machine-learning-meets-mathematical-programming-1904.01934</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-under-uncertainty-in-the-era-of-big-data-and-deep-learning-when-machine-learning-meets-mathematical-programming-1904.01934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-under-uncertainty-in-the-era-of-big-data-and-deep-learning-when-machine-learning-meets-mathematical-programming-1904.01934"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-diagnosis-of-the-12-lead-ecg-using-a-deep-neural-network-1904.01949</loc><lastmod>2020-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-diagnosis-of-the-12-lead-ecg-using-a-deep-neural-network-1904.01949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-diagnosis-of-the-12-lead-ecg-using-a-deep-neural-network-1904.01949"/></url>
<url><loc>https://scifaro.com/en/abs/rep-the-set-neural-networks-for-learning-set-representations-1904.01962</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rep-the-set-neural-networks-for-learning-set-representations-1904.01962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rep-the-set-neural-networks-for-learning-set-representations-1904.01962"/></url>
<url><loc>https://scifaro.com/en/abs/d-2-city-a-large-scale-dashcam-video-dataset-of-diverse-traffic-scenarios-1904.01975</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/d-2-city-a-large-scale-dashcam-video-dataset-of-diverse-traffic-scenarios-1904.01975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/d-2-city-a-large-scale-dashcam-video-dataset-of-diverse-traffic-scenarios-1904.01975"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-progressive-learning-and-the-stam-architecture-1904.02021</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-progressive-learning-and-the-stam-architecture-1904.02021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-progressive-learning-and-the-stam-architecture-1904.02021"/></url>
<url><loc>https://scifaro.com/en/abs/hopskipjumpattack-a-query-efficient-decision-based-attack-1904.02144</loc><lastmod>2020-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hopskipjumpattack-a-query-efficient-decision-based-attack-1904.02144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hopskipjumpattack-a-query-efficient-decision-based-attack-1904.02144"/></url>
<url><loc>https://scifaro.com/en/abs/progressive-stochastic-binarization-of-deep-networks-1904.02205</loc><lastmod>2019-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progressive-stochastic-binarization-of-deep-networks-1904.02205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progressive-stochastic-binarization-of-deep-networks-1904.02205"/></url>
<url><loc>https://scifaro.com/en/abs/jointly-pre-training-with-supervised-autoencoder-and-value-losses-for-deep-reinforcement-learning-1904.02206</loc><lastmod>2019-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jointly-pre-training-with-supervised-autoencoder-and-value-losses-for-deep-reinforcement-learning-1904.02206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jointly-pre-training-with-supervised-autoencoder-and-value-losses-for-deep-reinforcement-learning-1904.02206"/></url>
<url><loc>https://scifaro.com/en/abs/decomposing-temperature-time-series-with-non-negative-matrix-factorization-1904.02217</loc><lastmod>2019-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decomposing-temperature-time-series-with-non-negative-matrix-factorization-1904.02217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decomposing-temperature-time-series-with-non-negative-matrix-factorization-1904.02217"/></url>
<url><loc>https://scifaro.com/en/abs/dagcn-dual-attention-graph-convolutional-networks-1904.02278</loc><lastmod>2019-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dagcn-dual-attention-graph-convolutional-networks-1904.02278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dagcn-dual-attention-graph-convolutional-networks-1904.02278"/></url>
<url><loc>https://scifaro.com/en/abs/on-functions-computed-on-trees-1904.02309</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-functions-computed-on-trees-1904.02309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-functions-computed-on-trees-1904.02309"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-by-agreement-in-zero-shot-neural-machine-translation-1904.02338</loc><lastmod>2019-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-by-agreement-in-zero-shot-neural-machine-translation-1904.02338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-by-agreement-in-zero-shot-neural-machine-translation-1904.02338"/></url>
<url><loc>https://scifaro.com/en/abs/preference-neural-network-1904.02345</loc><lastmod>2023-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preference-neural-network-1904.02345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preference-neural-network-1904.02345"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-learning-approach-to-domain-adaptive-object-detection-1904.02361</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-learning-approach-to-domain-adaptive-object-detection-1904.02361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-learning-approach-to-domain-adaptive-object-detection-1904.02361"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-neural-network-modeling-for-path-loss-prediction-in-urban-environments-1904.02383</loc><lastmod>2019-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-neural-network-modeling-for-path-loss-prediction-in-urban-environments-1904.02383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-neural-network-modeling-for-path-loss-prediction-in-urban-environments-1904.02383"/></url>
<url><loc>https://scifaro.com/en/abs/white-to-black-efficient-distillation-of-black-box-adversarial-attacks-1904.02405</loc><lastmod>2019-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/white-to-black-efficient-distillation-of-black-box-adversarial-attacks-1904.02405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/white-to-black-efficient-distillation-of-black-box-adversarial-attacks-1904.02405"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-with-sparse-associative-memories-1904.02420</loc><lastmod>2019-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-with-sparse-associative-memories-1904.02420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-with-sparse-associative-memories-1904.02420"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-gan-based-method-for-cyber-intrusion-detection-1904.02426</loc><lastmod>2019-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-gan-based-method-for-cyber-intrusion-detection-1904.02426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-gan-based-method-for-cyber-intrusion-detection-1904.02426"/></url>
<url><loc>https://scifaro.com/en/abs/self-adapting-goals-allow-transfer-of-predictive-models-to-new-tasks-1904.02435</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-adapting-goals-allow-transfer-of-predictive-models-to-new-tasks-1904.02435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-adapting-goals-allow-transfer-of-predictive-models-to-new-tasks-1904.02435"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-brain-segmentation-from-weakly-labeled-data-with-deep-heteroscedastic-multi-task-networks-1904.02436</loc><lastmod>2019-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-brain-segmentation-from-weakly-labeled-data-with-deep-heteroscedastic-multi-task-networks-1904.02436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-brain-segmentation-from-weakly-labeled-data-with-deep-heteroscedastic-multi-task-networks-1904.02436"/></url>
<url><loc>https://scifaro.com/en/abs/a-categorisation-of-post-hoc-explanations-for-predictive-models-1904.02495</loc><lastmod>2019-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-categorisation-of-post-hoc-explanations-for-predictive-models-1904.02495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-categorisation-of-post-hoc-explanations-for-predictive-models-1904.02495"/></url>
<url><loc>https://scifaro.com/en/abs/smurff-a-high-performance-framework-for-matrix-factorization-1904.02514</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smurff-a-high-performance-framework-for-matrix-factorization-1904.02514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smurff-a-high-performance-framework-for-matrix-factorization-1904.02514"/></url>
<url><loc>https://scifaro.com/en/abs/online-convex-matrix-factorization-with-representative-regions-1904.02580</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-convex-matrix-factorization-with-representative-regions-1904.02580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-convex-matrix-factorization-with-representative-regions-1904.02580"/></url>
<url><loc>https://scifaro.com/en/abs/tiered-latent-representations-and-latent-spaces-for-molecular-graphs-1904.02653</loc><lastmod>2019-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tiered-latent-representations-and-latent-spaces-for-molecular-graphs-1904.02653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tiered-latent-representations-and-latent-spaces-for-molecular-graphs-1904.02653"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-deep-unsupervised-domain-adaptation-with-transfer-channel-pruning-1904.02654</loc><lastmod>2019-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-deep-unsupervised-domain-adaptation-with-transfer-channel-pruning-1904.02654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-deep-unsupervised-domain-adaptation-with-transfer-channel-pruning-1904.02654"/></url>
<url><loc>https://scifaro.com/en/abs/determining-input-variable-ranges-in-industry-4-0-a-heuristic-for-estimating-the-domain-of-a-real-valued-function-or-trained-regression-model-given-an-output-range-1904.02655</loc><lastmod>2019-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/determining-input-variable-ranges-in-industry-4-0-a-heuristic-for-estimating-the-domain-of-a-real-valued-function-or-trained-regression-model-given-an-output-range-1904.02655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/determining-input-variable-ranges-in-industry-4-0-a-heuristic-for-estimating-the-domain-of-a-real-valued-function-or-trained-regression-model-given-an-output-range-1904.02655"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-bayes-regret-minimization-1904.02664</loc><lastmod>2020-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-bayes-regret-minimization-1904.02664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-bayes-regret-minimization-1904.02664"/></url>
<url><loc>https://scifaro.com/en/abs/subject-cross-validation-in-human-activity-recognition-1904.02666</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subject-cross-validation-in-human-activity-recognition-1904.02666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subject-cross-validation-in-human-activity-recognition-1904.02666"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-sequential-machine-learning-1904.02773</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-sequential-machine-learning-1904.02773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-sequential-machine-learning-1904.02773"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-for-modeling-source-code-edits-1904.02818</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-for-modeling-source-code-edits-1904.02818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-for-modeling-source-code-edits-1904.02818"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-performance-modeling-of-deep-neural-network-systems-1904.02838</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-performance-modeling-of-deep-neural-network-systems-1904.02838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-performance-modeling-of-deep-neural-network-systems-1904.02838"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-uncertainty-based-detection-of-adversaries-in-deep-neural-networks-1904.02841</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-uncertainty-based-detection-of-adversaries-in-deep-neural-networks-1904.02841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-uncertainty-based-detection-of-adversaries-in-deep-neural-networks-1904.02841"/></url>
<url><loc>https://scifaro.com/en/abs/an-attentive-survey-of-attention-models-1904.02874</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-attentive-survey-of-attention-models-1904.02874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-attentive-survey-of-attention-models-1904.02874"/></url>
<url><loc>https://scifaro.com/en/abs/single-path-nas-designing-hardware-efficient-convnets-in-less-than-4-hours-1904.02877</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-path-nas-designing-hardware-efficient-convnets-in-less-than-4-hours-1904.02877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-path-nas-designing-hardware-efficient-convnets-in-less-than-4-hours-1904.02877"/></url>
<url><loc>https://scifaro.com/en/abs/blind-deconvolution-microscopy-using-cycle-consistent-cnn-with-explicit-psf-layer-1904.02910</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blind-deconvolution-microscopy-using-cycle-consistent-cnn-with-explicit-psf-layer-1904.02910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blind-deconvolution-microscopy-using-cycle-consistent-cnn-with-explicit-psf-layer-1904.02910"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-automata-extraction-from-recurrent-neural-networks-via-regression-on-state-spaces-1904.02931</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-automata-extraction-from-recurrent-neural-networks-via-regression-on-state-spaces-1904.02931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-automata-extraction-from-recurrent-neural-networks-via-regression-on-state-spaces-1904.02931"/></url>
<url><loc>https://scifaro.com/en/abs/logitron-perceptron-augmented-classification-model-based-on-an-extended-logistic-loss-function-1904.02958</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logitron-perceptron-augmented-classification-model-based-on-an-extended-logistic-loss-function-1904.02958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logitron-perceptron-augmented-classification-model-based-on-an-extended-logistic-loss-function-1904.02958"/></url>
<url><loc>https://scifaro.com/en/abs/a-topological-data-analysis-based-classification-method-for-multiple-measurements-1904.02971</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-topological-data-analysis-based-classification-method-for-multiple-measurements-1904.02971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-topological-data-analysis-based-classification-method-for-multiple-measurements-1904.02971"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-approach-with-optimization-and-metric-based-meta-learner-for-few-shot-learning-1904.03014</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-approach-with-optimization-and-metric-based-meta-learner-for-few-shot-learning-1904.03014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-approach-with-optimization-and-metric-based-meta-learner-for-few-shot-learning-1904.03014"/></url>
<url><loc>https://scifaro.com/en/abs/a-literature-study-of-embeddings-on-source-code-1904.03061</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-literature-study-of-embeddings-on-source-code-1904.03061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-literature-study-of-embeddings-on-source-code-1904.03061"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-heatmaps-probabilistic-classification-with-multiple-unreliable-information-sources-1904.03063</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-heatmaps-probabilistic-classification-with-multiple-unreliable-information-sources-1904.03063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-heatmaps-probabilistic-classification-with-multiple-unreliable-information-sources-1904.03063"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-neural-networks-via-energy-dissipation-1904.03081</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-neural-networks-via-energy-dissipation-1904.03081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-neural-networks-via-energy-dissipation-1904.03081"/></url>
<url><loc>https://scifaro.com/en/abs/diversified-hidden-markov-models-for-sequential-labeling-1904.03170</loc><lastmod>2019-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversified-hidden-markov-models-for-sequential-labeling-1904.03170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversified-hidden-markov-models-for-sequential-labeling-1904.03170"/></url>
<url><loc>https://scifaro.com/en/abs/structured-agents-for-physical-construction-1904.03177</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-agents-for-physical-construction-1904.03177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-agents-for-physical-construction-1904.03177"/></url>
<url><loc>https://scifaro.com/en/abs/mlsys-the-new-frontier-of-machine-learning-systems-1904.03257</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mlsys-the-new-frontier-of-machine-learning-systems-1904.03257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mlsys-the-new-frontier-of-machine-learning-systems-1904.03257"/></url>
<url><loc>https://scifaro.com/en/abs/is-unsupervised-learning-a-misconceived-term-1904.03259</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-unsupervised-learning-a-misconceived-term-1904.03259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-unsupervised-learning-a-misconceived-term-1904.03259"/></url>
<url><loc>https://scifaro.com/en/abs/robust-subspace-recovery-with-adversarial-outliers-1904.03275</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-subspace-recovery-with-adversarial-outliers-1904.03275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-subspace-recovery-with-adversarial-outliers-1904.03275"/></url>
<url><loc>https://scifaro.com/en/abs/synthesized-policies-for-transfer-and-adaptation-across-tasks-and-environments-1904.03276</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthesized-policies-for-transfer-and-adaptation-across-tasks-and-environments-1904.03276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthesized-policies-for-transfer-and-adaptation-across-tasks-and-environments-1904.03276"/></url>
<url><loc>https://scifaro.com/en/abs/the-information-complexity-of-learning-tasks-their-structure-and-their-distance-1904.03292</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-information-complexity-of-learning-tasks-their-structure-and-their-distance-1904.03292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-information-complexity-of-learning-tasks-their-structure-and-their-distance-1904.03292"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-learning-with-limited-interaction-tight-bounds-for-distributed-exploration-in-multi-armed-bandits-1904.03293</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-learning-with-limited-interaction-tight-bounds-for-distributed-exploration-in-multi-armed-bandits-1904.03293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-learning-with-limited-interaction-tight-bounds-for-distributed-exploration-in-multi-armed-bandits-1904.03293"/></url>
<url><loc>https://scifaro.com/en/abs/multi-preference-actor-critic-1904.03295</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-preference-actor-critic-1904.03295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-preference-actor-critic-1904.03295"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-attention-that-works-a-self-supervised-approach-1904.03367</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-attention-that-works-a-self-supervised-approach-1904.03367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-attention-that-works-a-self-supervised-approach-1904.03367"/></url>
<url><loc>https://scifaro.com/en/abs/effective-and-efficient-dropout-for-deep-convolutional-neural-networks-1904.03392</loc><lastmod>2020-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-and-efficient-dropout-for-deep-convolutional-neural-networks-1904.03392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-and-efficient-dropout-for-deep-convolutional-neural-networks-1904.03392"/></url>
<url><loc>https://scifaro.com/en/abs/learning-problem-agnostic-speech-representations-from-multiple-self-supervised-tasks-1904.03416</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-problem-agnostic-speech-representations-from-multiple-self-supervised-tasks-1904.03416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-problem-agnostic-speech-representations-from-multiple-self-supervised-tasks-1904.03416"/></url>
<url><loc>https://scifaro.com/en/abs/reinforced-imitation-in-heterogeneous-action-space-1904.03438</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforced-imitation-in-heterogeneous-action-space-1904.03438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforced-imitation-in-heterogeneous-action-space-1904.03438"/></url>
<url><loc>https://scifaro.com/en/abs/feature-based-interpolation-and-geodesics-in-the-latent-spaces-of-generative-models-1904.03445</loc><lastmod>2023-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-based-interpolation-and-geodesics-in-the-latent-spaces-of-generative-models-1904.03445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-based-interpolation-and-geodesics-in-the-latent-spaces-of-generative-models-1904.03445"/></url>
<url><loc>https://scifaro.com/en/abs/a-compendium-on-network-and-host-based-intrusion-detection-systems-1904.03491</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-compendium-on-network-and-host-based-intrusion-detection-systems-1904.03491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-compendium-on-network-and-host-based-intrusion-detection-systems-1904.03491"/></url>
<url><loc>https://scifaro.com/en/abs/split-batch-normalization-improving-semi-supervised-learning-under-domain-shift-1904.03515</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/split-batch-normalization-improving-semi-supervised-learning-under-domain-shift-1904.03515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/split-batch-normalization-improving-semi-supervised-learning-under-domain-shift-1904.03515"/></url>
<url><loc>https://scifaro.com/en/abs/instance-level-meta-normalization-1904.03516</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-level-meta-normalization-1904.03516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-level-meta-normalization-1904.03516"/></url>
<url><loc>https://scifaro.com/en/abs/randomised-bayesian-least-squares-policy-iteration-1904.03535</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomised-bayesian-least-squares-policy-iteration-1904.03535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomised-bayesian-least-squares-policy-iteration-1904.03535"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-discrete-hashing-with-relaxation-1904.03549</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-discrete-hashing-with-relaxation-1904.03549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-discrete-hashing-with-relaxation-1904.03549"/></url>
<url><loc>https://scifaro.com/en/abs/fast-supervised-discrete-hashing-1904.03556</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-supervised-discrete-hashing-1904.03556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-supervised-discrete-hashing-1904.03556"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-interactivity-in-local-differential-privacy-1904.03564</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-interactivity-in-local-differential-privacy-1904.03564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-interactivity-in-local-differential-privacy-1904.03564"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-proof-of-amsgrad-and-a-new-version-1904.03590</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-proof-of-amsgrad-and-a-new-version-1904.03590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-proof-of-amsgrad-and-a-new-version-1904.03590"/></url>
<url><loc>https://scifaro.com/en/abs/competitive-ratio-versus-regret-minimization-achieving-the-best-of-both-worlds-1904.03602</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/competitive-ratio-versus-regret-minimization-achieving-the-best-of-both-worlds-1904.03602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/competitive-ratio-versus-regret-minimization-achieving-the-best-of-both-worlds-1904.03602"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-power-of-curriculum-learning-in-training-deep-networks-1904.03626</loc><lastmod>2020-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-power-of-curriculum-learning-in-training-deep-networks-1904.03626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-power-of-curriculum-learning-in-training-deep-networks-1904.03626"/></url>
<url><loc>https://scifaro.com/en/abs/policy-gradient-search-online-planning-and-expert-iteration-without-search-trees-1904.03646</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-gradient-search-online-planning-and-expert-iteration-without-search-trees-1904.03646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-gradient-search-online-planning-and-expert-iteration-without-search-trees-1904.03646"/></url>
<url><loc>https://scifaro.com/en/abs/parametrization-of-stochastic-inputs-using-generative-adversarial-networks-with-application-in-geology-1904.03677</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametrization-of-stochastic-inputs-using-generative-adversarial-networks-with-application-in-geology-1904.03677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametrization-of-stochastic-inputs-using-generative-adversarial-networks-with-application-in-geology-1904.03677"/></url>
<url><loc>https://scifaro.com/en/abs/proposing-a-localized-relevance-vector-machine-for-pattern-classification-1904.03688</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proposing-a-localized-relevance-vector-machine-for-pattern-classification-1904.03688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proposing-a-localized-relevance-vector-machine-for-pattern-classification-1904.03688"/></url>
<url><loc>https://scifaro.com/en/abs/information-bottleneck-and-its-applications-in-deep-learning-1904.03743</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-bottleneck-and-its-applications-in-deep-learning-1904.03743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-bottleneck-and-its-applications-in-deep-learning-1904.03743"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-developing-1-bit-matrix-completion-1904.03779</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-developing-1-bit-matrix-completion-1904.03779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-developing-1-bit-matrix-completion-1904.03779"/></url>
<url><loc>https://scifaro.com/en/abs/binary-matrix-completion-with-nonconvex-regularizers-1904.03807</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-matrix-completion-with-nonconvex-regularizers-1904.03807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-matrix-completion-with-nonconvex-regularizers-1904.03807"/></url>
<url><loc>https://scifaro.com/en/abs/centripetal-sgd-for-pruning-very-deep-convolutional-networks-with-complicated-structure-1904.03837</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/centripetal-sgd-for-pruning-very-deep-convolutional-networks-with-complicated-structure-1904.03837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/centripetal-sgd-for-pruning-very-deep-convolutional-networks-with-complicated-structure-1904.03837"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-learnability-of-deep-random-networks-1904.03866</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-learnability-of-deep-random-networks-1904.03866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-learnability-of-deep-random-networks-1904.03866"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-subspace-hidden-markov-model-for-acoustic-unit-discovery-1904.03876</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-subspace-hidden-markov-model-for-acoustic-unit-discovery-1904.03876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-subspace-hidden-markov-model-for-acoustic-unit-discovery-1904.03876"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-density-aware-embeddings-1904.03911</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-density-aware-embeddings-1904.03911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-density-aware-embeddings-1904.03911"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-adversarial-regularization-war-on-label-noise-1904.03936</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-adversarial-regularization-war-on-label-noise-1904.03936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-adversarial-regularization-war-on-label-noise-1904.03936"/></url>
<url><loc>https://scifaro.com/en/abs/feature-learning-viewpoint-of-adaboost-and-a-new-algorithm-1904.03953</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-learning-viewpoint-of-adaboost-and-a-new-algorithm-1904.03953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-learning-viewpoint-of-adaboost-and-a-new-algorithm-1904.03953"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-intervention-prediction-aggregation-a-generalized-framework-for-model-agnostic-interpretations-1904.03959</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-intervention-prediction-aggregation-a-generalized-framework-for-model-agnostic-interpretations-1904.03959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-intervention-prediction-aggregation-a-generalized-framework-for-model-agnostic-interpretations-1904.03959"/></url>
<url><loc>https://scifaro.com/en/abs/jointly-measuring-diversity-and-quality-in-text-generation-models-1904.03971</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jointly-measuring-diversity-and-quality-in-text-generation-models-1904.03971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jointly-measuring-diversity-and-quality-in-text-generation-models-1904.03971"/></url>
<url><loc>https://scifaro.com/en/abs/only-relevant-information-matters-filtering-out-noisy-samples-to-boost-rl-1904.04025</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/only-relevant-information-matters-filtering-out-noisy-samples-to-boost-rl-1904.04025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/only-relevant-information-matters-filtering-out-noisy-samples-to-boost-rl-1904.04025"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-study-of-physics-informed-neural-network-models-for-learning-unknown-dynamics-and-constitutive-relations-1904.04058</loc><lastmod>2019-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-study-of-physics-informed-neural-network-models-for-learning-unknown-dynamics-and-constitutive-relations-1904.04058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-study-of-physics-informed-neural-network-models-for-learning-unknown-dynamics-and-constitutive-relations-1904.04058"/></url>
<url><loc>https://scifaro.com/en/abs/audio-source-separation-via-multi-scale-learning-with-dilated-dense-u-nets-1904.04161</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/audio-source-separation-via-multi-scale-learning-with-dilated-dense-u-nets-1904.04161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/audio-source-separation-via-multi-scale-learning-with-dilated-dense-u-nets-1904.04161"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-neural-networks-on-opencl-devices-using-sycl-dnn-1904.04174</loc><lastmod>2019-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-neural-networks-on-opencl-devices-using-sycl-dnn-1904.04174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-neural-networks-on-opencl-devices-using-sycl-dnn-1904.04174"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-feature-learning-for-environmental-sound-classification-using-weighted-cycle-consistent-generative-adversarial-network-1904.04221</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-feature-learning-for-environmental-sound-classification-using-weighted-cycle-consistent-generative-adversarial-network-1904.04221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-feature-learning-for-environmental-sound-classification-using-weighted-cycle-consistent-generative-adversarial-network-1904.04221"/></url>
<url><loc>https://scifaro.com/en/abs/learning-backtrackless-aligned-spatial-graph-convolutional-networks-for-graph-classification-1904.04238</loc><lastmod>2020-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-backtrackless-aligned-spatial-graph-convolutional-networks-for-graph-classification-1904.04238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-backtrackless-aligned-spatial-graph-convolutional-networks-for-graph-classification-1904.04238"/></url>
<url><loc>https://scifaro.com/en/abs/sodeep-a-sorting-deep-net-to-learn-ranking-loss-surrogates-1904.04272</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sodeep-a-sorting-deep-net-to-learn-ranking-loss-surrogates-1904.04272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sodeep-a-sorting-deep-net-to-learn-ranking-loss-surrogates-1904.04272"/></url>
<url><loc>https://scifaro.com/en/abs/data-adaptation-in-handy-economy-ideology-model-1904.04309</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-adaptation-in-handy-economy-ideology-model-1904.04309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-adaptation-in-handy-economy-ideology-model-1904.04309"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-analysis-of-the-optimization-and-generalization-property-of-two-layer-neural-network-and-random-feature-models-under-gradient-descent-dynamics-1904.04326</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-analysis-of-the-optimization-and-generalization-property-of-two-layer-neural-network-and-random-feature-models-under-gradient-descent-dynamics-1904.04326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-analysis-of-the-optimization-and-generalization-property-of-two-layer-neural-network-and-random-feature-models-under-gradient-descent-dynamics-1904.04326"/></url>
<url><loc>https://scifaro.com/en/abs/a-target-agnostic-attack-on-deep-models-exploiting-security-vulnerabilities-of-transfer-learning-1904.04334</loc><lastmod>2020-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-target-agnostic-attack-on-deep-models-exploiting-security-vulnerabilities-of-transfer-learning-1904.04334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-target-agnostic-attack-on-deep-models-exploiting-security-vulnerabilities-of-transfer-learning-1904.04334"/></url>
<url><loc>https://scifaro.com/en/abs/l2ae-d-learning-to-aggregate-embeddings-for-few-shot-learning-with-meta-level-dropout-1904.04339</loc><lastmod>2024-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l2ae-d-learning-to-aggregate-embeddings-for-few-shot-learning-with-meta-level-dropout-1904.04339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l2ae-d-learning-to-aggregate-embeddings-for-few-shot-learning-with-meta-level-dropout-1904.04339"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-deep-feature-learning-for-decoding-imagined-speech-from-eeg-1904.04352</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-deep-feature-learning-for-decoding-imagined-speech-from-eeg-1904.04352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-deep-feature-learning-for-decoding-imagined-speech-from-eeg-1904.04352"/></url>
<url><loc>https://scifaro.com/en/abs/relational-reasoning-network-rrn-for-anatomical-landmarking-1904.04354</loc><lastmod>2022-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-reasoning-network-rrn-for-anatomical-landmarking-1904.04354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-reasoning-network-rrn-for-anatomical-landmarking-1904.04354"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-the-eeg-manifold-for-phonological-categorization-from-active-thoughts-1904.04358</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-the-eeg-manifold-for-phonological-categorization-from-active-thoughts-1904.04358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-the-eeg-manifold-for-phonological-categorization-from-active-thoughts-1904.04358"/></url>
<url><loc>https://scifaro.com/en/abs/l-0-arm-network-sparsification-via-stochastic-binary-optimization-1904.04432</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l-0-arm-network-sparsification-via-stochastic-binary-optimization-1904.04432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l-0-arm-network-sparsification-via-stochastic-binary-optimization-1904.04432"/></url>
<url><loc>https://scifaro.com/en/abs/attention-based-multi-instance-neural-network-for-medical-diagnosis-from-incomplete-and-low-quality-data-1904.04460</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-based-multi-instance-neural-network-for-medical-diagnosis-from-incomplete-and-low-quality-data-1904.04460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-based-multi-instance-neural-network-for-medical-diagnosis-from-incomplete-and-low-quality-data-1904.04460"/></url>
<url><loc>https://scifaro.com/en/abs/regression-concept-vectors-for-bidirectional-explanations-in-histopathology-1904.04520</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-concept-vectors-for-bidirectional-explanations-in-histopathology-1904.04520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-concept-vectors-for-bidirectional-explanations-in-histopathology-1904.04520"/></url>
<url><loc>https://scifaro.com/en/abs/automated-search-for-configurations-of-deep-neural-network-architectures-1904.04612</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-search-for-configurations-of-deep-neural-network-architectures-1904.04612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-search-for-configurations-of-deep-neural-network-architectures-1904.04612"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-competence-measures-for-dynamic-regressor-selection-1904.04645</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-competence-measures-for-dynamic-regressor-selection-1904.04645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-competence-measures-for-dynamic-regressor-selection-1904.04645"/></url>
<url><loc>https://scifaro.com/en/abs/practical-open-loop-optimistic-planning-1904.04700</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-open-loop-optimistic-planning-1904.04700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-open-loop-optimistic-planning-1904.04700"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-the-equivalence-of-upper-confidence-bounds-and-gittins-indices-for-patient-agents-1904.04732</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-the-equivalence-of-upper-confidence-bounds-and-gittins-indices-for-patient-agents-1904.04732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-the-equivalence-of-upper-confidence-bounds-and-gittins-indices-for-patient-agents-1904.04732"/></url>
<url><loc>https://scifaro.com/en/abs/software-and-application-patterns-for-explanation-methods-1904.04734</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/software-and-application-patterns-for-explanation-methods-1904.04734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/software-and-application-patterns-for-explanation-methods-1904.04734"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-evolutionary-system-for-automated-artificial-neural-networks-generation-and-simplification-in-biomedical-applications-1904.04754</loc><lastmod>2019-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-evolutionary-system-for-automated-artificial-neural-networks-generation-and-simplification-in-biomedical-applications-1904.04754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-evolutionary-system-for-automated-artificial-neural-networks-generation-and-simplification-in-biomedical-applications-1904.04754"/></url>
<url><loc>https://scifaro.com/en/abs/hypothesis-set-stability-and-generalization-1904.04755</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypothesis-set-stability-and-generalization-1904.04755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypothesis-set-stability-and-generalization-1904.04755"/></url>
<url><loc>https://scifaro.com/en/abs/active-domain-randomization-1904.04762</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-domain-randomization-1904.04762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-domain-randomization-1904.04762"/></url>
<url><loc>https://scifaro.com/en/abs/just-jump-dynamic-neighborhood-aggregation-in-graph-neural-networks-1904.04849</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/just-jump-dynamic-neighborhood-aggregation-in-graph-neural-networks-1904.04849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/just-jump-dynamic-neighborhood-aggregation-in-graph-neural-networks-1904.04849"/></url>
<url><loc>https://scifaro.com/en/abs/universal-lipschitz-approximation-in-bounded-depth-neural-networks-1904.04861</loc><lastmod>2019-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-lipschitz-approximation-in-bounded-depth-neural-networks-1904.04861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-lipschitz-approximation-in-bounded-depth-neural-networks-1904.04861"/></url>
<url><loc>https://scifaro.com/en/abs/swnet-small-world-neural-networks-and-rapid-convergence-1904.04862</loc><lastmod>2019-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/swnet-small-world-neural-networks-and-rapid-convergence-1904.04862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/swnet-small-world-neural-networks-and-rapid-convergence-1904.04862"/></url>
<url><loc>https://scifaro.com/en/abs/handling-temporality-of-clinical-events-with-application-to-adverse-drug-event-detection-in-electronic-health-records-a-scoping-review-1904.04940</loc><lastmod>2019-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/handling-temporality-of-clinical-events-with-application-to-adverse-drug-event-detection-in-electronic-health-records-a-scoping-review-1904.04940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/handling-temporality-of-clinical-events-with-application-to-adverse-drug-event-detection-in-electronic-health-records-a-scoping-review-1904.04940"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-sub-phenotypes-of-acute-kidney-injury-using-structured-and-unstructured-electronic-health-record-data-with-memory-networks-1904.04990</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-sub-phenotypes-of-acute-kidney-injury-using-structured-and-unstructured-electronic-health-record-data-with-memory-networks-1904.04990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-sub-phenotypes-of-acute-kidney-injury-using-structured-and-unstructured-electronic-health-record-data-with-memory-networks-1904.04990"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-patterns-of-online-popularity-from-time-series-1904.04994</loc><lastmod>2019-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-patterns-of-online-popularity-from-time-series-1904.04994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-patterns-of-online-popularity-from-time-series-1904.04994"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-from-a-few-examples-a-survey-on-few-shot-learning-1904.05046</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-from-a-few-examples-a-survey-on-few-shot-learning-1904.05046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-from-a-few-examples-a-survey-on-few-shot-learning-1904.05046"/></url>
<url><loc>https://scifaro.com/en/abs/multitask-hopfield-networks-1904.05098</loc><lastmod>2019-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multitask-hopfield-networks-1904.05098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multitask-hopfield-networks-1904.05098"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-squeezed-adversarial-network-compression-1904.05100</loc><lastmod>2019-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-squeezed-adversarial-network-compression-1904.05100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-squeezed-adversarial-network-compression-1904.05100"/></url>
<url><loc>https://scifaro.com/en/abs/deepsphere-towards-an-equivariant-graph-based-spherical-cnn-1904.05146</loc><lastmod>2019-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepsphere-towards-an-equivariant-graph-based-spherical-cnn-1904.05146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepsphere-towards-an-equivariant-graph-based-spherical-cnn-1904.05146"/></url>
<url><loc>https://scifaro.com/en/abs/text-based-depression-detection-on-sparse-data-1904.05154</loc><lastmod>2020-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/text-based-depression-detection-on-sparse-data-1904.05154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/text-based-depression-detection-on-sparse-data-1904.05154"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-a-hidden-dynamical-system-using-energy-minimization-and-kernel-density-estimates-1904.05172</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-a-hidden-dynamical-system-using-energy-minimization-and-kernel-density-estimates-1904.05172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-a-hidden-dynamical-system-using-energy-minimization-and-kernel-density-estimates-1904.05172"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-adversarial-attacks-on-video-recognition-models-1904.05181</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-adversarial-attacks-on-video-recognition-models-1904.05181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-adversarial-attacks-on-video-recognition-models-1904.05181"/></url>
<url><loc>https://scifaro.com/en/abs/what-s-in-a-name-reducing-bias-in-bios-without-access-to-protected-attributes-1904.05233</loc><lastmod>2019-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-s-in-a-name-reducing-bias-in-bios-without-access-to-protected-attributes-1904.05233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-s-in-a-name-reducing-bias-in-bios-without-access-to-protected-attributes-1904.05233"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-the-gradient-descent-algorithm-for-a-deep-neural-network-model-with-skip-connections-1904.05263</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-the-gradient-descent-algorithm-for-a-deep-neural-network-model-with-skip-connections-1904.05263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-the-gradient-descent-algorithm-for-a-deep-neural-network-model-with-skip-connections-1904.05263"/></url>
<url><loc>https://scifaro.com/en/abs/reinbo-machine-learning-pipeline-search-and-configuration-with-bayesian-optimization-embedded-reinforcement-learning-1904.05381</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinbo-machine-learning-pipeline-search-and-configuration-with-bayesian-optimization-embedded-reinforcement-learning-1904.05381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinbo-machine-learning-pipeline-search-and-configuration-with-bayesian-optimization-embedded-reinforcement-learning-1904.05381"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-without-weight-transport-1904.05391</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-without-weight-transport-1904.05391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-without-weight-transport-1904.05391"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-decision-tree-based-interpretation-of-deep-neural-networks-through-l1-orthogonal-regularization-1904.05394</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-decision-tree-based-interpretation-of-deep-neural-networks-through-l1-orthogonal-regularization-1904.05394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-decision-tree-based-interpretation-of-deep-neural-networks-through-l1-orthogonal-regularization-1904.05394"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-system-trace-restoration-1904.05411</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-system-trace-restoration-1904.05411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-system-trace-restoration-1904.05411"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-deep-learning-algorithm-for-pde-based-forward-and-inverse-problems-1904.05417</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-deep-learning-algorithm-for-pde-based-forward-and-inverse-problems-1904.05417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-deep-learning-algorithm-for-pde-based-forward-and-inverse-problems-1904.05417"/></url>
<url><loc>https://scifaro.com/en/abs/fairvis-visual-analytics-for-discovering-intersectional-bias-in-machine-learning-1904.05419</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairvis-visual-analytics-for-discovering-intersectional-bias-in-machine-learning-1904.05419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairvis-visual-analytics-for-discovering-intersectional-bias-in-machine-learning-1904.05419"/></url>
<url><loc>https://scifaro.com/en/abs/energy-based-continuous-inverse-optimal-control-1904.05453</loc><lastmod>2022-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-based-continuous-inverse-optimal-control-1904.05453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-based-continuous-inverse-optimal-control-1904.05453"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-network-ensembles-1904.05488</loc><lastmod>2019-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-ensembles-1904.05488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-ensembles-1904.05488"/></url>
<url><loc>https://scifaro.com/en/abs/membership-inference-attacks-on-sequence-to-sequence-models-is-my-data-in-your-machine-translation-system-1904.05506</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/membership-inference-attacks-on-sequence-to-sequence-models-is-my-data-in-your-machine-translation-system-1904.05506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/membership-inference-attacks-on-sequence-to-sequence-models-is-my-data-in-your-machine-translation-system-1904.05506"/></url>
<url><loc>https://scifaro.com/en/abs/restricted-isometry-property-under-high-correlations-1904.05510</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/restricted-isometry-property-under-high-correlations-1904.05510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/restricted-isometry-property-under-high-correlations-1904.05510"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-information-leakage-in-image-representations-a-maximum-entropy-approach-1904.05514</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-information-leakage-in-image-representations-a-maximum-entropy-approach-1904.05514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-information-leakage-in-image-representations-a-maximum-entropy-approach-1904.05514"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-event-network-autoregressive-structure-inference-over-temporal-knowledge-graphs-1904.05530</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-event-network-autoregressive-structure-inference-over-temporal-knowledge-graphs-1904.05530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-event-network-autoregressive-structure-inference-over-temporal-knowledge-graphs-1904.05530"/></url>
<url><loc>https://scifaro.com/en/abs/modified-online-newton-step-based-on-element-wise-multiplication-1904.05633</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modified-online-newton-step-based-on-element-wise-multiplication-1904.05633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modified-online-newton-step-based-on-element-wise-multiplication-1904.05633"/></url>
<url><loc>https://scifaro.com/en/abs/mxml-mixture-of-meta-learners-for-few-shot-classification-1904.05658</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mxml-mixture-of-meta-learners-for-few-shot-classification-1904.05658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mxml-mixture-of-meta-learners-for-few-shot-classification-1904.05658"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-voice-conversion-by-separating-speaker-and-content-representations-with-instance-normalization-1904.05742</loc><lastmod>2019-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-voice-conversion-by-separating-speaker-and-content-representations-with-instance-normalization-1904.05742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-voice-conversion-by-separating-speaker-and-content-representations-with-instance-normalization-1904.05742"/></url>
<url><loc>https://scifaro.com/en/abs/speak-your-mind-towards-imagined-speech-recognition-with-hierarchical-deep-learning-1904.05746</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speak-your-mind-towards-imagined-speech-recognition-with-hierarchical-deep-learning-1904.05746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speak-your-mind-towards-imagined-speech-recognition-with-hierarchical-deep-learning-1904.05746"/></url>
<url><loc>https://scifaro.com/en/abs/safer-deep-rl-with-shallow-mcts-a-case-study-in-pommerman-1904.05759</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safer-deep-rl-with-shallow-mcts-a-case-study-in-pommerman-1904.05759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safer-deep-rl-with-shallow-mcts-a-case-study-in-pommerman-1904.05759"/></url>
<url><loc>https://scifaro.com/en/abs/scalarizing-functions-in-bayesian-multiobjective-optimization-1904.05760</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalarizing-functions-in-bayesian-multiobjective-optimization-1904.05760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalarizing-functions-in-bayesian-multiobjective-optimization-1904.05760"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-theory-and-algorithm-for-domain-adaptation-1904.05801</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-theory-and-algorithm-for-domain-adaptation-1904.05801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-theory-and-algorithm-for-domain-adaptation-1904.05801"/></url>
<url><loc>https://scifaro.com/en/abs/relational-graph-attention-networks-1904.05811</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-graph-attention-networks-1904.05811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-graph-attention-networks-1904.05811"/></url>
<url><loc>https://scifaro.com/en/abs/keyframing-the-future-keyframe-discovery-for-visual-prediction-and-planning-1904.05869</loc><lastmod>2020-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/keyframing-the-future-keyframe-discovery-for-visual-prediction-and-planning-1904.05869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/keyframing-the-future-keyframe-discovery-for-visual-prediction-and-planning-1904.05869"/></url>
<url><loc>https://scifaro.com/en/abs/max-sliced-wasserstein-distance-and-its-use-for-gans-1904.05877</loc><lastmod>2025-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-sliced-wasserstein-distance-and-its-use-for-gans-1904.05877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-sliced-wasserstein-distance-and-its-use-for-gans-1904.05877"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-flow-improve-upon-your-teachers-1904.05878</loc><lastmod>2019-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-flow-improve-upon-your-teachers-1904.05878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-flow-improve-upon-your-teachers-1904.05878"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-based-autoencoder-for-extreme-multi-label-classification-1904.05937</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-based-autoencoder-for-extreme-multi-label-classification-1904.05937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-based-autoencoder-for-extreme-multi-label-classification-1904.05937"/></url>
<url><loc>https://scifaro.com/en/abs/deep-transfer-learning-for-single-channel-automatic-sleep-staging-with-channel-mismatch-1904.05945</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-transfer-learning-for-single-channel-automatic-sleep-staging-with-channel-mismatch-1904.05945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-transfer-learning-for-single-channel-automatic-sleep-staging-with-channel-mismatch-1904.05945"/></url>
<url><loc>https://scifaro.com/en/abs/variational-autoencoder-for-regression-application-to-brain-aging-analysis-1904.05948</loc><lastmod>2019-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-autoencoder-for-regression-application-to-brain-aging-analysis-1904.05948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-autoencoder-for-regression-application-to-brain-aging-analysis-1904.05948"/></url>
<url><loc>https://scifaro.com/en/abs/robust-coreset-construction-for-distributed-machine-learning-1904.05961</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-coreset-construction-for-distributed-machine-learning-1904.05961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-coreset-construction-for-distributed-machine-learning-1904.05961"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-speech-emotion-recognition-and-ambiguity-resolution-1904.06022</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-speech-emotion-recognition-and-ambiguity-resolution-1904.06022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-speech-emotion-recognition-and-ambiguity-resolution-1904.06022"/></url>
<url><loc>https://scifaro.com/en/abs/interaction-aware-decision-making-with-adaptive-strategies-under-merging-scenarios-1904.06025</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interaction-aware-decision-making-with-adaptive-strategies-under-merging-scenarios-1904.06025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interaction-aware-decision-making-with-adaptive-strategies-under-merging-scenarios-1904.06025"/></url>
<url><loc>https://scifaro.com/en/abs/effective-scheduling-function-design-in-sdn-through-deep-reinforcement-learning-1904.06039</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-scheduling-function-design-in-sdn-through-deep-reinforcement-learning-1904.06039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-scheduling-function-design-in-sdn-through-deep-reinforcement-learning-1904.06039"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-layer-partitioned-training-for-privacy-preserved-deep-learning-1904.06049</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-layer-partitioned-training-for-privacy-preserved-deep-learning-1904.06049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-layer-partitioned-training-for-privacy-preserved-deep-learning-1904.06049"/></url>
<url><loc>https://scifaro.com/en/abs/a-streaming-feature-based-compression-method-for-data-from-instrumented-infrastructure-1904.06127</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-streaming-feature-based-compression-method-for-data-from-instrumented-infrastructure-1904.06127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-streaming-feature-based-compression-method-for-data-from-instrumented-infrastructure-1904.06127"/></url>
<url><loc>https://scifaro.com/en/abs/towards-photographic-image-manipulation-with-balanced-growing-of-generative-autoencoders-1904.06145</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-photographic-image-manipulation-with-balanced-growing-of-generative-autoencoders-1904.06145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-photographic-image-manipulation-with-balanced-growing-of-generative-autoencoders-1904.06145"/></url>
<url><loc>https://scifaro.com/en/abs/position-aware-convolutional-networks-for-traffic-prediction-1904.06187</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/position-aware-convolutional-networks-for-traffic-prediction-1904.06187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/position-aware-convolutional-networks-for-traffic-prediction-1904.06187"/></url>
<url><loc>https://scifaro.com/en/abs/compressing-deep-neural-networks-by-matrix-product-operators-1904.06194</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressing-deep-neural-networks-by-matrix-product-operators-1904.06194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressing-deep-neural-networks-by-matrix-product-operators-1904.06194"/></url>
<url><loc>https://scifaro.com/en/abs/the-coupling-effect-of-lipschitz-regularization-in-deep-neural-networks-1904.06253</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-coupling-effect-of-lipschitz-regularization-in-deep-neural-networks-1904.06253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-coupling-effect-of-lipschitz-regularization-in-deep-neural-networks-1904.06253"/></url>
<url><loc>https://scifaro.com/en/abs/ams-sfe-towards-an-alignment-of-manifold-structures-via-semantic-feature-expansion-for-zero-shot-learning-1904.06254</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ams-sfe-towards-an-alignment-of-manifold-structures-via-semantic-feature-expansion-for-zero-shot-learning-1904.06254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ams-sfe-towards-an-alignment-of-manifold-structures-via-semantic-feature-expansion-for-zero-shot-learning-1904.06254"/></url>
<url><loc>https://scifaro.com/en/abs/multi-armed-bandit-for-energy-efficient-and-delay-sensitive-edge-computing-in-dynamic-networks-with-uncertainty-1904.06258</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-armed-bandit-for-energy-efficient-and-delay-sensitive-edge-computing-in-dynamic-networks-with-uncertainty-1904.06258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-armed-bandit-for-energy-efficient-and-delay-sensitive-edge-computing-in-dynamic-networks-with-uncertainty-1904.06258"/></url>
<url><loc>https://scifaro.com/en/abs/similarities-between-policy-gradient-methods-pgm-in-reinforcement-learning-rl-and-supervised-learning-sl-1904.06260</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/similarities-between-policy-gradient-methods-pgm-in-reinforcement-learning-rl-and-supervised-learning-sl-1904.06260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/similarities-between-policy-gradient-methods-pgm-in-reinforcement-learning-rl-and-supervised-learning-sl-1904.06260"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-computational-imaging-inverse-problems-1904.06264</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-computational-imaging-inverse-problems-1904.06264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-computational-imaging-inverse-problems-1904.06264"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-learning-in-statistical-classification-a-comprehensive-review-of-defenses-against-attacks-1904.06292</loc><lastmod>2020-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-learning-in-statistical-classification-a-comprehensive-review-of-defenses-against-attacks-1904.06292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-learning-in-statistical-classification-a-comprehensive-review-of-defenses-against-attacks-1904.06292"/></url>
<url><loc>https://scifaro.com/en/abs/revisit-lmser-and-its-further-development-based-on-convolutional-layers-1904.06307</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisit-lmser-and-its-further-development-based-on-convolutional-layers-1904.06307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisit-lmser-and-its-further-development-based-on-convolutional-layers-1904.06307"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-bandit-learning-near-optimal-regret-with-efficient-communication-1904.06309</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-bandit-learning-near-optimal-regret-with-efficient-communication-1904.06309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-bandit-learning-near-optimal-regret-with-efficient-communication-1904.06309"/></url>
<url><loc>https://scifaro.com/en/abs/let-s-play-again-variability-of-deep-reinforcement-learning-agents-in-atari-environments-1904.06312</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/let-s-play-again-variability-of-deep-reinforcement-learning-agents-in-atari-environments-1904.06312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/let-s-play-again-variability-of-deep-reinforcement-learning-agents-in-atari-environments-1904.06312"/></url>
<url><loc>https://scifaro.com/en/abs/learning-optimal-decision-trees-from-large-datasets-1904.06314</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-optimal-decision-trees-from-large-datasets-1904.06314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-optimal-decision-trees-from-large-datasets-1904.06314"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-deep-graph-infomax-1904.06316</loc><lastmod>2019-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-deep-graph-infomax-1904.06316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-deep-graph-infomax-1904.06316"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-prediction-errors-for-deep-neural-networks-using-test-time-dropout-1904.06330</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-prediction-errors-for-deep-neural-networks-using-test-time-dropout-1904.06330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-prediction-errors-for-deep-neural-networks-using-test-time-dropout-1904.06330"/></url>
<url><loc>https://scifaro.com/en/abs/extrapolating-beyond-suboptimal-demonstrations-via-inverse-reinforcement-learning-from-observations-1904.06387</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extrapolating-beyond-suboptimal-demonstrations-via-inverse-reinforcement-learning-from-observations-1904.06387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extrapolating-beyond-suboptimal-demonstrations-via-inverse-reinforcement-learning-from-observations-1904.06387"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-lower-bounds-on-negative-log-likelihood-1904.06395</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-lower-bounds-on-negative-log-likelihood-1904.06395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-lower-bounds-on-negative-log-likelihood-1904.06395"/></url>
<url><loc>https://scifaro.com/en/abs/remaining-useful-life-estimation-using-functional-data-analysis-1904.06442</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/remaining-useful-life-estimation-using-functional-data-analysis-1904.06442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/remaining-useful-life-estimation-using-functional-data-analysis-1904.06442"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-node-embeddings-from-edge-streams-1904.06449</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-node-embeddings-from-edge-streams-1904.06449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-node-embeddings-from-edge-streams-1904.06449"/></url>
<url><loc>https://scifaro.com/en/abs/graph-embedded-multi-layer-kernel-extreme-learning-machine-for-one-class-classification-or-graph-embedded-multi-layer-kernel-ridge-regression-for-one-class-classification-1904.06491</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-embedded-multi-layer-kernel-extreme-learning-machine-for-one-class-classification-or-graph-embedded-multi-layer-kernel-ridge-regression-for-one-class-classification-1904.06491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-embedded-multi-layer-kernel-extreme-learning-machine-for-one-class-classification-or-graph-embedded-multi-layer-kernel-ridge-regression-for-one-class-classification-1904.06491"/></url>
<url><loc>https://scifaro.com/en/abs/an-integrated-autoencoder-based-filter-for-sparse-big-data-1904.06513</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-integrated-autoencoder-based-filter-for-sparse-big-data-1904.06513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-integrated-autoencoder-based-filter-for-sparse-big-data-1904.06513"/></url>
<url><loc>https://scifaro.com/en/abs/self-paced-probabilistic-principal-component-analysis-for-data-with-outliers-1904.06546</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-paced-probabilistic-principal-component-analysis-for-data-with-outliers-1904.06546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-paced-probabilistic-principal-component-analysis-for-data-with-outliers-1904.06546"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-singing-voice-conversion-1904.06590</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-singing-voice-conversion-1904.06590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-singing-voice-conversion-1904.06590"/></url>
<url><loc>https://scifaro.com/en/abs/ur-funny-a-multimodal-language-dataset-for-understanding-humor-1904.06618</loc><lastmod>2020-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ur-funny-a-multimodal-language-dataset-for-understanding-humor-1904.06618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ur-funny-a-multimodal-language-dataset-for-understanding-humor-1904.06618"/></url>
<url><loc>https://scifaro.com/en/abs/should-i-raise-the-red-flag-a-comprehensive-survey-of-anomaly-scoring-methods-toward-mitigating-false-alarms-1904.06646</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/should-i-raise-the-red-flag-a-comprehensive-survey-of-anomaly-scoring-methods-toward-mitigating-false-alarms-1904.06646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/should-i-raise-the-red-flag-a-comprehensive-survey-of-anomaly-scoring-methods-toward-mitigating-false-alarms-1904.06646"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-representativeness-and-informativeness-for-active-learning-1904.06685</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-representativeness-and-informativeness-for-active-learning-1904.06685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-representativeness-and-informativeness-for-active-learning-1904.06685"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-discriminative-labeling-for-multi-label-active-learning-based-on-maximum-correntropy-criterion-1904.06689</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-discriminative-labeling-for-multi-label-active-learning-based-on-maximum-correntropy-criterion-1904.06689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-discriminative-labeling-for-multi-label-active-learning-based-on-maximum-correntropy-criterion-1904.06689"/></url>
<url><loc>https://scifaro.com/en/abs/dot-to-dot-explainable-hierarchical-reinforcement-learning-for-robotic-manipulation-1904.06703</loc><lastmod>2020-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dot-to-dot-explainable-hierarchical-reinforcement-learning-for-robotic-manipulation-1904.06703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dot-to-dot-explainable-hierarchical-reinforcement-learning-for-robotic-manipulation-1904.06703"/></url>
<url><loc>https://scifaro.com/en/abs/finding-a-latent-k-simplex-in-o-k-nnz-data-time-via-subset-smoothing-1904.06738</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-a-latent-k-simplex-in-o-k-nnz-data-time-via-subset-smoothing-1904.06738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-a-latent-k-simplex-in-o-k-nnz-data-time-via-subset-smoothing-1904.06738"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-kernel-support-vector-machines-1904.06762</loc><lastmod>2020-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-kernel-support-vector-machines-1904.06762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-kernel-support-vector-machines-1904.06762"/></url>
<url><loc>https://scifaro.com/en/abs/learning-spatiotemporal-features-of-ride-sourcing-services-with-fusion-convolutional-network-1904.06823</loc><lastmod>2020-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-spatiotemporal-features-of-ride-sourcing-services-with-fusion-convolutional-network-1904.06823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-spatiotemporal-features-of-ride-sourcing-services-with-fusion-convolutional-network-1904.06823"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-investigation-of-global-and-local-normalization-for-recurrent-neural-sequence-models-using-a-continuous-relaxation-to-beam-search-1904.06834</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-investigation-of-global-and-local-normalization-for-recurrent-neural-sequence-models-using-a-continuous-relaxation-to-beam-search-1904.06834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-investigation-of-global-and-local-normalization-for-recurrent-neural-sequence-models-using-a-continuous-relaxation-to-beam-search-1904.06834"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-options-with-hellinger-distance-regularizer-1904.06887</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-options-with-hellinger-distance-regularizer-1904.06887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-options-with-hellinger-distance-regularizer-1904.06887"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-event-log-event-attributes-in-rnn-based-prediction-1904.06895</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-event-log-event-attributes-in-rnn-based-prediction-1904.06895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-event-log-event-attributes-in-rnn-based-prediction-1904.06895"/></url>
<url><loc>https://scifaro.com/en/abs/graphtsne-a-visualization-technique-for-graph-structured-data-1904.06915</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphtsne-a-visualization-technique-for-graph-structured-data-1904.06915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphtsne-a-visualization-technique-for-graph-structured-data-1904.06915"/></url>
<url><loc>https://scifaro.com/en/abs/human-guided-learning-of-column-networks-augmenting-deep-learning-with-advice-1904.06950</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-guided-learning-of-column-networks-augmenting-deep-learning-with-advice-1904.06950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-guided-learning-of-column-networks-augmenting-deep-learning-with-advice-1904.06950"/></url>
<url><loc>https://scifaro.com/en/abs/leanresnet-a-low-cost-yet-effective-convolutional-residual-networks-1904.06952</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leanresnet-a-low-cost-yet-effective-convolutional-residual-networks-1904.06952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leanresnet-a-low-cost-yet-effective-convolutional-residual-networks-1904.06952"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-performance-of-differential-evolution-for-hyperparameter-tuning-1904.06960</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-performance-of-differential-evolution-for-hyperparameter-tuning-1904.06960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-performance-of-differential-evolution-for-hyperparameter-tuning-1904.06960"/></url>
<url><loc>https://scifaro.com/en/abs/the-impact-of-neural-network-overparameterization-on-gradient-confusion-and-stochastic-gradient-descent-1904.06963</loc><lastmod>2020-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-impact-of-neural-network-overparameterization-on-gradient-confusion-and-stochastic-gradient-descent-1904.06963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-impact-of-neural-network-overparameterization-on-gradient-confusion-and-stochastic-gradient-descent-1904.06963"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-dictionary-learning-method-for-coupled-feature-space-learning-1904.06968</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-dictionary-learning-method-for-coupled-feature-space-learning-1904.06968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-dictionary-learning-method-for-coupled-feature-space-learning-1904.06968"/></url>
<url><loc>https://scifaro.com/en/abs/depth-separations-in-neural-networks-what-is-actually-being-separated-1904.06984</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depth-separations-in-neural-networks-what-is-actually-being-separated-1904.06984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depth-separations-in-neural-networks-what-is-actually-being-separated-1904.06984"/></url>
<url><loc>https://scifaro.com/en/abs/painting-on-placement-forecasting-routing-congestion-using-conditional-generative-adversarial-nets-1904.07077</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/painting-on-placement-forecasting-routing-congestion-using-conditional-generative-adversarial-nets-1904.07077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/painting-on-placement-forecasting-routing-congestion-using-conditional-generative-adversarial-nets-1904.07077"/></url>
<url><loc>https://scifaro.com/en/abs/are-nearby-neighbors-relatives-testing-deep-music-embeddings-1904.07154</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-nearby-neighbors-relatives-testing-deep-music-embeddings-1904.07154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-nearby-neighbors-relatives-testing-deep-music-embeddings-1904.07154"/></url>
<url><loc>https://scifaro.com/en/abs/exact-rate-distortion-in-autoencoders-via-echo-noise-1904.07199</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-rate-distortion-in-autoencoders-via-echo-noise-1904.07199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-rate-distortion-in-autoencoders-via-echo-noise-1904.07199"/></url>
<url><loc>https://scifaro.com/en/abs/a-discussion-on-solving-partial-differential-equations-using-neural-networks-1904.07200</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-discussion-on-solving-partial-differential-equations-using-neural-networks-1904.07200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-discussion-on-solving-partial-differential-equations-using-neural-networks-1904.07200"/></url>
<url><loc>https://scifaro.com/en/abs/tutorial-safe-and-reliable-machine-learning-1904.07204</loc><lastmod>2019-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tutorial-safe-and-reliable-machine-learning-1904.07204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tutorial-safe-and-reliable-machine-learning-1904.07204"/></url>
<url><loc>https://scifaro.com/en/abs/introduction-to-multi-armed-bandits-1904.07272</loc><lastmod>2024-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introduction-to-multi-armed-bandits-1904.07272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introduction-to-multi-armed-bandits-1904.07272"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-deep-convolutional-neural-network-for-multi-task-learning-1904.07320</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-deep-convolutional-neural-network-for-multi-task-learning-1904.07320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-deep-convolutional-neural-network-for-multi-task-learning-1904.07320"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-supervision-for-robot-learning-via-imitation-simulation-and-adaptation-1904.07346</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-supervision-for-robot-learning-via-imitation-simulation-and-adaptation-1904.07346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-supervision-for-robot-learning-via-imitation-simulation-and-adaptation-1904.07346"/></url>
<url><loc>https://scifaro.com/en/abs/are-self-driving-cars-secure-evasion-attacks-against-deep-neural-networks-for-steering-angle-prediction-1904.07370</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-self-driving-cars-secure-evasion-attacks-against-deep-neural-networks-for-steering-angle-prediction-1904.07370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-self-driving-cars-secure-evasion-attacks-against-deep-neural-networks-for-steering-angle-prediction-1904.07370"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-fluid-intelligence-of-children-using-t1-weighted-mr-images-and-a-stacknet-1904.07387</loc><lastmod>2020-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-fluid-intelligence-of-children-using-t1-weighted-mr-images-and-a-stacknet-1904.07387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-fluid-intelligence-of-children-using-t1-weighted-mr-images-and-a-stacknet-1904.07387"/></url>
<url><loc>https://scifaro.com/en/abs/swtvm-towards-optimized-tensor-code-generation-for-deep-learning-on-sunway-many-core-processor-1904.07404</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/swtvm-towards-optimized-tensor-code-generation-for-deep-learning-on-sunway-many-core-processor-1904.07404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/swtvm-towards-optimized-tensor-code-generation-for-deep-learning-on-sunway-many-core-processor-1904.07404"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-visual-explanations-1904.07451</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-visual-explanations-1904.07451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-visual-explanations-1904.07451"/></url>
<url><loc>https://scifaro.com/en/abs/dstp-rnn-a-dual-stage-two-phase-attention-based-recurrent-neural-networks-for-long-term-and-multivariate-time-series-prediction-1904.07464</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dstp-rnn-a-dual-stage-two-phase-attention-based-recurrent-neural-networks-for-long-term-and-multivariate-time-series-prediction-1904.07464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dstp-rnn-a-dual-stage-two-phase-attention-based-recurrent-neural-networks-for-long-term-and-multivariate-time-series-prediction-1904.07464"/></url>
<url><loc>https://scifaro.com/en/abs/object-oriented-dynamics-learning-through-multi-level-abstraction-1904.07482</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/object-oriented-dynamics-learning-through-multi-level-abstraction-1904.07482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/object-oriented-dynamics-learning-through-multi-level-abstraction-1904.07482"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-ridge-machine-a-classifier-for-high-dimensional-data-or-imbalanced-data-1904.07496</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-ridge-machine-a-classifier-for-high-dimensional-data-or-imbalanced-data-1904.07496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-ridge-machine-a-classifier-for-high-dimensional-data-or-imbalanced-data-1904.07496"/></url>
<url><loc>https://scifaro.com/en/abs/res-pca-a-scalable-approach-to-recovering-low-rank-matrices-1904.07497</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/res-pca-a-scalable-approach-to-recovering-low-rank-matrices-1904.07497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/res-pca-a-scalable-approach-to-recovering-low-rank-matrices-1904.07497"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-mathematical-understanding-of-resnet-with-feynman-path-integral-1904.07568</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-mathematical-understanding-of-resnet-with-feynman-path-integral-1904.07568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-mathematical-understanding-of-resnet-with-feynman-path-integral-1904.07568"/></url>
<url><loc>https://scifaro.com/en/abs/asd-diagnet-a-hybrid-learning-approach-for-detection-of-autism-spectrum-disorder-using-fmri-data-1904.07577</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asd-diagnet-a-hybrid-learning-approach-for-detection-of-autism-spectrum-disorder-using-fmri-data-1904.07577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asd-diagnet-a-hybrid-learning-approach-for-detection-of-autism-spectrum-disorder-using-fmri-data-1904.07577"/></url>
<url><loc>https://scifaro.com/en/abs/hark-side-of-deep-learning-from-grad-student-descent-to-automated-machine-learning-1904.07633</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hark-side-of-deep-learning-from-grad-student-descent-to-automated-machine-learning-1904.07633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hark-side-of-deep-learning-from-grad-student-descent-to-automated-machine-learning-1904.07633"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-time-to-failure-of-plasma-etching-equipment-using-machine-learning-1904.07686</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-time-to-failure-of-plasma-etching-equipment-using-machine-learning-1904.07686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-time-to-failure-of-plasma-etching-equipment-using-machine-learning-1904.07686"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-subspace-support-vector-data-description-1904.07698</loc><lastmod>2020-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-subspace-support-vector-data-description-1904.07698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-subspace-support-vector-data-description-1904.07698"/></url>
<url><loc>https://scifaro.com/en/abs/three-scenarios-for-continual-learning-1904.07734</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/three-scenarios-for-continual-learning-1904.07734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/three-scenarios-for-continual-learning-1904.07734"/></url>
<url><loc>https://scifaro.com/en/abs/somospie-a-modular-soil-moisture-spatial-inference-engine-based-on-data-driven-decisions-1904.07754</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/somospie-a-modular-soil-moisture-spatial-inference-engine-based-on-data-driven-decisions-1904.07754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/somospie-a-modular-soil-moisture-spatial-inference-engine-based-on-data-driven-decisions-1904.07754"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-neural-networks-for-classification-of-alzheimer-s-disease-overview-and-reproducible-evaluation-1904.07773</loc><lastmod>2020-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-neural-networks-for-classification-of-alzheimer-s-disease-overview-and-reproducible-evaluation-1904.07773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-neural-networks-for-classification-of-alzheimer-s-disease-overview-and-reproducible-evaluation-1904.07773"/></url>
<url><loc>https://scifaro.com/en/abs/graph-wavelet-neural-network-1904.07785</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-wavelet-neural-network-1904.07785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-wavelet-neural-network-1904.07785"/></url>
<url><loc>https://scifaro.com/en/abs/learning-3d-navigation-protocols-on-touch-interfaces-with-cooperative-multi-agent-reinforcement-learning-1904.07802</loc><lastmod>2019-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-3d-navigation-protocols-on-touch-interfaces-with-cooperative-multi-agent-reinforcement-learning-1904.07802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-3d-navigation-protocols-on-touch-interfaces-with-cooperative-multi-agent-reinforcement-learning-1904.07802"/></url>
<url><loc>https://scifaro.com/en/abs/simion-zoo-a-workbench-for-distributed-experimentation-with-reinforcement-learning-for-continuous-control-tasks-1904.07817</loc><lastmod>2019-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simion-zoo-a-workbench-for-distributed-experimentation-with-reinforcement-learning-for-continuous-control-tasks-1904.07817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simion-zoo-a-workbench-for-distributed-experimentation-with-reinforcement-learning-for-continuous-control-tasks-1904.07817"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-robotic-reinforcement-learning-without-reward-engineering-1904.07854</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-robotic-reinforcement-learning-without-reward-engineering-1904.07854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-robotic-reinforcement-learning-without-reward-engineering-1904.07854"/></url>
<url><loc>https://scifaro.com/en/abs/processing-in-memory-acceleration-of-convolutional-neural-networks-for-energy-efficiency-and-power-intermittency-resilience-1904.07864</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/processing-in-memory-acceleration-of-convolutional-neural-networks-for-energy-efficiency-and-power-intermittency-resilience-1904.07864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/processing-in-memory-acceleration-of-convolutional-neural-networks-for-energy-efficiency-and-power-intermittency-resilience-1904.07864"/></url>
<url><loc>https://scifaro.com/en/abs/pl-nmf-parallel-locality-optimized-non-negative-matrix-factorization-1904.07935</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pl-nmf-parallel-locality-optimized-non-negative-matrix-factorization-1904.07935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pl-nmf-parallel-locality-optimized-non-negative-matrix-factorization-1904.07935"/></url>
<url><loc>https://scifaro.com/en/abs/3d-shape-synthesis-for-conceptual-design-and-optimization-using-variational-autoencoders-1904.07964</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/3d-shape-synthesis-for-conceptual-design-and-optimization-using-variational-autoencoders-1904.07964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/3d-shape-synthesis-for-conceptual-design-and-optimization-using-variational-autoencoders-1904.07964"/></url>
<url><loc>https://scifaro.com/en/abs/cross-lingual-sentiment-quantification-1904.07965</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-lingual-sentiment-quantification-1904.07965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-lingual-sentiment-quantification-1904.07965"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-episodes-with-compact-minimal-windows-1904.07974</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-episodes-with-compact-minimal-windows-1904.07974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-episodes-with-compact-minimal-windows-1904.07974"/></url>
<url><loc>https://scifaro.com/en/abs/detection-and-prediction-of-cardiac-anomalies-using-wireless-body-sensors-and-bayesian-belief-networks-1904.07976</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-and-prediction-of-cardiac-anomalies-using-wireless-body-sensors-and-bayesian-belief-networks-1904.07976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-and-prediction-of-cardiac-anomalies-using-wireless-body-sensors-and-bayesian-belief-networks-1904.07976"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-adversarial-example-transferability-using-gradient-regularization-1904.07980</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-adversarial-example-transferability-using-gradient-regularization-1904.07980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-adversarial-example-transferability-using-gradient-regularization-1904.07980"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-early-prediction-of-circulatory-failure-in-the-intensive-care-unit-1904.07990</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-early-prediction-of-circulatory-failure-in-the-intensive-care-unit-1904.07990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-early-prediction-of-circulatory-failure-in-the-intensive-care-unit-1904.07990"/></url>
<url><loc>https://scifaro.com/en/abs/sync-a-unified-framework-for-generating-synthetic-population-with-gaussian-copula-1904.07998</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sync-a-unified-framework-for-generating-synthetic-population-with-gaussian-copula-1904.07998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sync-a-unified-framework-for-generating-synthetic-population-with-gaussian-copula-1904.07998"/></url>
<url><loc>https://scifaro.com/en/abs/people-infer-recursive-visual-concepts-from-just-a-few-examples-1904.08034</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/people-infer-recursive-visual-concepts-from-just-a-few-examples-1904.08034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/people-infer-recursive-visual-concepts-from-just-a-few-examples-1904.08034"/></url>
<url><loc>https://scifaro.com/en/abs/residual-or-gate-towards-deeper-graph-neural-networks-for-inductive-graph-representation-learning-1904.08035</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-or-gate-towards-deeper-graph-neural-networks-for-inductive-graph-representation-learning-1904.08035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-or-gate-towards-deeper-graph-neural-networks-for-inductive-graph-representation-learning-1904.08035"/></url>
<url><loc>https://scifaro.com/en/abs/neural-message-passing-for-multi-label-classification-1904.08049</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-message-passing-for-multi-label-classification-1904.08049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-message-passing-for-multi-label-classification-1904.08049"/></url>
<url><loc>https://scifaro.com/en/abs/sparseout-controlling-sparsity-in-deep-networks-1904.08050</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparseout-controlling-sparsity-in-deep-networks-1904.08050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparseout-controlling-sparsity-in-deep-networks-1904.08050"/></url>
<url><loc>https://scifaro.com/en/abs/text-classification-algorithms-a-survey-1904.08067</loc><lastmod>2020-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/text-classification-algorithms-a-survey-1904.08067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/text-classification-algorithms-a-survey-1904.08067"/></url>
<url><loc>https://scifaro.com/en/abs/self-attention-graph-pooling-1904.08082</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-attention-graph-pooling-1904.08082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-attention-graph-pooling-1904.08082"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-defense-through-network-profiling-based-path-extraction-1904.08089</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-defense-through-network-profiling-based-path-extraction-1904.08089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-defense-through-network-profiling-based-path-extraction-1904.08089"/></url>
<url><loc>https://scifaro.com/en/abs/an-online-learning-approach-for-dengue-fever-classification-1904.08092</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-online-learning-approach-for-dengue-fever-classification-1904.08092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-online-learning-approach-for-dengue-fever-classification-1904.08092"/></url>
<url><loc>https://scifaro.com/en/abs/batched-stochastic-bayesian-optimization-via-combinatorial-constraints-design-1904.08102</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batched-stochastic-bayesian-optimization-via-combinatorial-constraints-design-1904.08102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batched-stochastic-bayesian-optimization-via-combinatorial-constraints-design-1904.08102"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-traffic-signal-control-methods-1904.08117</loc><lastmod>2020-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-traffic-signal-control-methods-1904.08117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-traffic-signal-control-methods-1904.08117"/></url>
<url><loc>https://scifaro.com/en/abs/rogue-gym-a-new-challenge-for-generalization-in-reinforcement-learning-1904.08129</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rogue-gym-a-new-challenge-for-generalization-in-reinforcement-learning-1904.08129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rogue-gym-a-new-challenge-for-generalization-in-reinforcement-learning-1904.08129"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-drug-target-interaction-using-3d-structure-embedded-graph-representations-from-graph-neural-networks-1904.08144</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-drug-target-interaction-using-3d-structure-embedded-graph-representations-from-graph-neural-networks-1904.08144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-drug-target-interaction-using-3d-structure-embedded-graph-representations-from-graph-neural-networks-1904.08144"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-policy-selection-using-active-inference-1904.08149</loc><lastmod>2019-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-policy-selection-using-active-inference-1904.08149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-policy-selection-using-active-inference-1904.08149"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-network-embedding-1904.08157</loc><lastmod>2019-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-network-embedding-1904.08157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-network-embedding-1904.08157"/></url>
<url><loc>https://scifaro.com/en/abs/bonsai-diverse-and-shallow-trees-for-extreme-multi-label-classification-1904.08249</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bonsai-diverse-and-shallow-trees-for-extreme-multi-label-classification-1904.08249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bonsai-diverse-and-shallow-trees-for-extreme-multi-label-classification-1904.08249"/></url>
<url><loc>https://scifaro.com/en/abs/ockelm-kernel-extreme-learning-machine-based-one-class-classification-using-privileged-information-or-koc-kernel-ridge-regression-or-least-square-svm-with-zero-bias-based-one-class-classification-using-privileged-information-1904.08338</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ockelm-kernel-extreme-learning-machine-based-one-class-classification-using-privileged-information-or-koc-kernel-ridge-regression-or-least-square-svm-with-zero-bias-based-one-class-classification-using-privileged-information-1904.08338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ockelm-kernel-extreme-learning-machine-based-one-class-classification-using-privileged-information-or-koc-kernel-ridge-regression-or-least-square-svm-with-zero-bias-based-one-class-classification-using-privileged-information-1904.08338"/></url>
<url><loc>https://scifaro.com/en/abs/decoupled-data-based-approach-for-learning-to-control-nonlinear-dynamical-systems-1904.08361</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupled-data-based-approach-for-learning-to-control-nonlinear-dynamical-systems-1904.08361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupled-data-based-approach-for-learning-to-control-nonlinear-dynamical-systems-1904.08361"/></url>
<url><loc>https://scifaro.com/en/abs/relay-a-high-level-compiler-for-deep-learning-1904.08368</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relay-a-high-level-compiler-for-deep-learning-1904.08368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relay-a-high-level-compiler-for-deep-learning-1904.08368"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-evaluation-of-transformer-language-models-1904.08378</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-evaluation-of-transformer-language-models-1904.08378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-evaluation-of-transformer-language-models-1904.08378"/></url>
<url><loc>https://scifaro.com/en/abs/vid2game-controllable-characters-extracted-from-real-world-videos-1904.08379</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vid2game-controllable-characters-extracted-from-real-world-videos-1904.08379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vid2game-controllable-characters-extracted-from-real-world-videos-1904.08379"/></url>
<url><loc>https://scifaro.com/en/abs/casting-light-on-invisible-cities-computationally-engaging-with-literary-criticism-1904.08386</loc><lastmod>2019-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/casting-light-on-invisible-cities-computationally-engaging-with-literary-criticism-1904.08386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/casting-light-on-invisible-cities-computationally-engaging-with-literary-criticism-1904.08386"/></url>
<url><loc>https://scifaro.com/en/abs/defensive-quantization-when-efficiency-meets-robustness-1904.08444</loc><lastmod>2019-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defensive-quantization-when-efficiency-meets-robustness-1904.08444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defensive-quantization-when-efficiency-meets-robustness-1904.08444"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-policy-gradient-with-state-distribution-correction-1904.08473</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-policy-gradient-with-state-distribution-correction-1904.08473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-policy-gradient-with-state-distribution-correction-1904.08473"/></url>
<url><loc>https://scifaro.com/en/abs/learning-interpretable-disentangled-representations-using-adversarial-vaes-1904.08491</loc><lastmod>2019-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-interpretable-disentangled-representations-using-adversarial-vaes-1904.08491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-interpretable-disentangled-representations-using-adversarial-vaes-1904.08491"/></url>
<url><loc>https://scifaro.com/en/abs/an-unsupervised-feature-learning-approach-to-reduce-false-alarm-rate-in-icus-1904.08495</loc><lastmod>2019-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-unsupervised-feature-learning-approach-to-reduce-false-alarm-rate-in-icus-1904.08495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-unsupervised-feature-learning-approach-to-reduce-false-alarm-rate-in-icus-1904.08495"/></url>
<url><loc>https://scifaro.com/en/abs/deepnovov2-better-de-novo-peptide-sequencing-with-deep-learning-1904.08514</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepnovov2-better-de-novo-peptide-sequencing-with-deep-learning-1904.08514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepnovov2-better-de-novo-peptide-sequencing-with-deep-learning-1904.08514"/></url>
<url><loc>https://scifaro.com/en/abs/zk-gandef-a-gan-based-zero-knowledge-adversarial-training-defense-for-neural-networks-1904.08516</loc><lastmod>2019-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zk-gandef-a-gan-based-zero-knowledge-adversarial-training-defense-for-neural-networks-1904.08516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zk-gandef-a-gan-based-zero-knowledge-adversarial-training-defense-for-neural-networks-1904.08516"/></url>
<url><loc>https://scifaro.com/en/abs/robust-exploration-with-tight-bayesian-plausibility-sets-1904.08528</loc><lastmod>2019-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-exploration-with-tight-bayesian-plausibility-sets-1904.08528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-exploration-with-tight-bayesian-plausibility-sets-1904.08528"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-with-selective-sampling-1904.08540</loc><lastmod>2019-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-with-selective-sampling-1904.08540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-with-selective-sampling-1904.08540"/></url>
<url><loc>https://scifaro.com/en/abs/memory-sample-tradeoffs-for-linear-regression-with-small-error-1904.08544</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-sample-tradeoffs-for-linear-regression-with-small-error-1904.08544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-sample-tradeoffs-for-linear-regression-with-small-error-1904.08544"/></url>
<url><loc>https://scifaro.com/en/abs/gotta-catch-em-all-using-honeypots-to-catch-adversarial-attacks-on-neural-networks-1904.08554</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gotta-catch-em-all-using-honeypots-to-catch-adversarial-attacks-on-neural-networks-1904.08554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gotta-catch-em-all-using-honeypots-to-catch-adversarial-attacks-on-neural-networks-1904.08554"/></url>
<url><loc>https://scifaro.com/en/abs/inpatient2vec-medical-representation-learning-for-inpatients-1904.08558</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inpatient2vec-medical-representation-learning-for-inpatients-1904.08558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inpatient2vec-medical-representation-learning-for-inpatients-1904.08558"/></url>
<url><loc>https://scifaro.com/en/abs/on-low-rank-trace-regression-under-general-sampling-distribution-1904.08576</loc><lastmod>2023-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-low-rank-trace-regression-under-general-sampling-distribution-1904.08576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-low-rank-trace-regression-under-general-sampling-distribution-1904.08576"/></url>
<url><loc>https://scifaro.com/en/abs/one-dimensional-deep-image-prior-for-time-series-inverse-problems-1904.08594</loc><lastmod>2019-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-dimensional-deep-image-prior-for-time-series-inverse-problems-1904.08594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-dimensional-deep-image-prior-for-time-series-inverse-problems-1904.08594"/></url>
<url><loc>https://scifaro.com/en/abs/disentangled-representation-learning-with-information-maximizing-autoencoder-1904.08613</loc><lastmod>2019-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-representation-learning-with-information-maximizing-autoencoder-1904.08613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-representation-learning-with-information-maximizing-autoencoder-1904.08613"/></url>
<url><loc>https://scifaro.com/en/abs/edgnn-a-simple-and-powerful-gnn-for-directed-labeled-graphs-1904.08745</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edgnn-a-simple-and-powerful-gnn-for-directed-labeled-graphs-1904.08745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edgnn-a-simple-and-powerful-gnn-for-directed-labeled-graphs-1904.08745"/></url>
<url><loc>https://scifaro.com/en/abs/deep-residual-autoencoders-for-expectation-maximization-inspired-dictionary-learning-1904.08827</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-residual-autoencoders-for-expectation-maximization-inspired-dictionary-learning-1904.08827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-residual-autoencoders-for-expectation-maximization-inspired-dictionary-learning-1904.08827"/></url>
<url><loc>https://scifaro.com/en/abs/neural-attention-based-deep-learning-architectures-for-modeling-traffic-dynamics-on-lane-graphs-1904.08831</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-attention-based-deep-learning-architectures-for-modeling-traffic-dynamics-on-lane-graphs-1904.08831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-attention-based-deep-learning-architectures-for-modeling-traffic-dynamics-on-lane-graphs-1904.08831"/></url>
<url><loc>https://scifaro.com/en/abs/decoding-molecular-graph-embeddings-with-reinforcement-learning-1904.08915</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoding-molecular-graph-embeddings-with-reinforcement-learning-1904.08915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoding-molecular-graph-embeddings-with-reinforcement-learning-1904.08915"/></url>
<url><loc>https://scifaro.com/en/abs/flare-forecasting-by-learning-anticipated-representations-1904.08930</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flare-forecasting-by-learning-anticipated-representations-1904.08930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flare-forecasting-by-learning-anticipated-representations-1904.08930"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-convolutional-neural-networks-for-mode-inference-in-smartphone-travel-survey-1904.08933</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-convolutional-neural-networks-for-mode-inference-in-smartphone-travel-survey-1904.08933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-convolutional-neural-networks-for-mode-inference-in-smartphone-travel-survey-1904.08933"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-deep-classification-of-time-series-data-with-learned-prototypes-1904.08935</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-deep-classification-of-time-series-data-with-learned-prototypes-1904.08935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-deep-classification-of-time-series-data-with-learned-prototypes-1904.08935"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-neural-networks-via-feature-visualization-a-survey-1904.08939</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-neural-networks-via-feature-visualization-a-survey-1904.08939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-neural-networks-via-feature-visualization-a-survey-1904.08939"/></url>
<url><loc>https://scifaro.com/en/abs/playgol-learning-programs-through-play-1904.08993</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/playgol-learning-programs-through-play-1904.08993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/playgol-learning-programs-through-play-1904.08993"/></url>
<url><loc>https://scifaro.com/en/abs/from-gan-to-wgan-1904.08994</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-gan-to-wgan-1904.08994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-gan-to-wgan-1904.08994"/></url>
<url><loc>https://scifaro.com/en/abs/semi-bandit-optimization-in-the-dispersed-setting-1904.09014</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-bandit-optimization-in-the-dispersed-setting-1904.09014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-bandit-optimization-in-the-dispersed-setting-1904.09014"/></url>
<url><loc>https://scifaro.com/en/abs/graph-element-networks-adaptive-structured-computation-and-memory-1904.09019</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-element-networks-adaptive-structured-computation-and-memory-1904.09019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-element-networks-adaptive-structured-computation-and-memory-1904.09019"/></url>
<url><loc>https://scifaro.com/en/abs/when-is-a-prediction-knowledge-1904.09024</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-is-a-prediction-knowledge-1904.09024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-is-a-prediction-knowledge-1904.09024"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-power-system-security-assessment-1904.09029</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-power-system-security-assessment-1904.09029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-power-system-security-assessment-1904.09029"/></url>
<url><loc>https://scifaro.com/en/abs/predict-future-sales-using-ensembled-random-forests-1904.09031</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predict-future-sales-using-ensembled-random-forests-1904.09031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predict-future-sales-using-ensembled-random-forests-1904.09031"/></url>
<url><loc>https://scifaro.com/en/abs/productnet-a-collection-of-high-quality-datasets-for-product-representation-learning-1904.09037</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/productnet-a-collection-of-high-quality-datasets-for-product-representation-learning-1904.09037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/productnet-a-collection-of-high-quality-datasets-for-product-representation-learning-1904.09037"/></url>
<url><loc>https://scifaro.com/en/abs/disagreement-based-active-learning-in-online-settings-1904.09056</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disagreement-based-active-learning-in-online-settings-1904.09056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disagreement-based-active-learning-in-online-settings-1904.09056"/></url>
<url><loc>https://scifaro.com/en/abs/emergence-of-compositional-language-with-deep-generational-transmission-1904.09067</loc><lastmod>2020-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emergence-of-compositional-language-with-deep-generational-transmission-1904.09067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emergence-of-compositional-language-with-deep-generational-transmission-1904.09067"/></url>
<url><loc>https://scifaro.com/en/abs/embracenet-a-robust-deep-learning-architecture-for-multimodal-classification-1904.09078</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embracenet-a-robust-deep-learning-architecture-for-multimodal-classification-1904.09078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embracenet-a-robust-deep-learning-architecture-for-multimodal-classification-1904.09078"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-regularization-for-deep-neural-networks-driven-by-an-ornstein-uhlenbeck-like-process-1904.09080</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-regularization-for-deep-neural-networks-driven-by-an-ornstein-uhlenbeck-like-process-1904.09080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-regularization-for-deep-neural-networks-driven-by-an-ornstein-uhlenbeck-like-process-1904.09080"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-meta-learning-1904.09081</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-meta-learning-1904.09081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-meta-learning-1904.09081"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-initialization-of-k-means-using-particle-swarm-optimization-1904.09098</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-initialization-of-k-means-using-particle-swarm-optimization-1904.09098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-initialization-of-k-means-using-particle-swarm-optimization-1904.09098"/></url>
<url><loc>https://scifaro.com/en/abs/shallow-neural-network-can-perfectly-classify-an-object-following-separable-probability-distribution-1904.09109</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shallow-neural-network-can-perfectly-classify-an-object-following-separable-probability-distribution-1904.09109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shallow-neural-network-can-perfectly-classify-an-object-following-separable-probability-distribution-1904.09109"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-using-gans-1904.09135</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-using-gans-1904.09135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-using-gans-1904.09135"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-distillation-via-route-constrained-optimization-1904.09149</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-distillation-via-route-constrained-optimization-1904.09149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-distillation-via-route-constrained-optimization-1904.09149"/></url>
<url><loc>https://scifaro.com/en/abs/plots-procedure-learning-from-observations-using-subtask-structure-1904.09162</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plots-procedure-learning-from-observations-using-subtask-structure-1904.09162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plots-procedure-learning-from-observations-using-subtask-structure-1904.09162"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-for-sentence-representations-using-conceptors-1904.09187</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-for-sentence-representations-using-conceptors-1904.09187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-for-sentence-representations-using-conceptors-1904.09187"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-the-benefits-of-communication-channels-between-deep-learning-models-1904.09211</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-the-benefits-of-communication-channels-between-deep-learning-models-1904.09211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-the-benefits-of-communication-channels-between-deep-learning-models-1904.09211"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-about-uncertainty-optimal-adaptive-algorithms-for-estimating-mixtures-of-unknown-coins-1904.09228</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-about-uncertainty-optimal-adaptive-algorithms-for-estimating-mixtures-of-unknown-coins-1904.09228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-about-uncertainty-optimal-adaptive-algorithms-for-estimating-mixtures-of-unknown-coins-1904.09228"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-multi-label-classification-prediction-with-partial-abstention-1904.09235</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-multi-label-classification-prediction-with-partial-abstention-1904.09235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-multi-label-classification-prediction-with-partial-abstention-1904.09235"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-adam-and-beyond-1904.09237</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-adam-and-beyond-1904.09237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-adam-and-beyond-1904.09237"/></url>
<url><loc>https://scifaro.com/en/abs/ssrgd-simple-stochastic-recursive-gradient-descent-for-escaping-saddle-points-1904.09265</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ssrgd-simple-stochastic-recursive-gradient-descent-for-escaping-saddle-points-1904.09265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ssrgd-simple-stochastic-recursive-gradient-descent-for-escaping-saddle-points-1904.09265"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-on-mobile-devices-a-review-1904.09274</loc><lastmod>2019-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-on-mobile-devices-a-review-1904.09274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-on-mobile-devices-a-review-1904.09274"/></url>
<url><loc>https://scifaro.com/en/abs/challenges-and-prospects-in-vision-and-language-research-1904.09317</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-and-prospects-in-vision-and-language-research-1904.09317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-and-prospects-in-vision-and-language-research-1904.09317"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-points-of-interest-and-similar-individuals-from-raw-gps-data-1904.09357</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-points-of-interest-and-similar-individuals-from-raw-gps-data-1904.09357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-points-of-interest-and-similar-individuals-from-raw-gps-data-1904.09357"/></url>
<url><loc>https://scifaro.com/en/abs/derivative-free-global-optimization-algorithms-bayesian-method-and-lipschitzian-approaches-1904.09365</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/derivative-free-global-optimization-algorithms-bayesian-method-and-lipschitzian-approaches-1904.09365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/derivative-free-global-optimization-algorithms-bayesian-method-and-lipschitzian-approaches-1904.09365"/></url>
<url><loc>https://scifaro.com/en/abs/derivative-free-global-optimization-algorithms-population-based-methods-and-random-search-approaches-1904.09368</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/derivative-free-global-optimization-algorithms-population-based-methods-and-random-search-approaches-1904.09368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/derivative-free-global-optimization-algorithms-population-based-methods-and-random-search-approaches-1904.09368"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-optimal-online-stochastic-learning-for-sequences-of-convex-functions-under-sub-gradient-observation-failures-1904.09369</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-optimal-online-stochastic-learning-for-sequences-of-convex-functions-under-sub-gradient-observation-failures-1904.09369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-optimal-online-stochastic-learning-for-sequences-of-convex-functions-under-sub-gradient-observation-failures-1904.09369"/></url>
<url><loc>https://scifaro.com/en/abs/meta-weighted-gaussian-process-experts-for-personalized-forecasting-of-ad-cognitive-changes-1904.09370</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-weighted-gaussian-process-experts-for-personalized-forecasting-of-ad-cognitive-changes-1904.09370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-weighted-gaussian-process-experts-for-personalized-forecasting-of-ad-cognitive-changes-1904.09370"/></url>
<url><loc>https://scifaro.com/en/abs/waterfall-bandits-learning-to-sell-ads-online-1904.09404</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/waterfall-bandits-learning-to-sell-ads-online-1904.09404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/waterfall-bandits-learning-to-sell-ads-online-1904.09404"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-generation-of-privacy-preserving-data-with-user-customization-1904.09415</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-generation-of-privacy-preserving-data-with-user-customization-1904.09415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-generation-of-privacy-preserving-data-with-user-customization-1904.09415"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-large-scale-real-world-acars-and-ads-b-radio-signal-classification-1904.09425</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-large-scale-real-world-acars-and-ads-b-radio-signal-classification-1904.09425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-large-scale-real-world-acars-and-ads-b-radio-signal-classification-1904.09425"/></url>
<url><loc>https://scifaro.com/en/abs/libs2ml-a-library-for-scalable-second-order-machine-learning-algorithms-1904.09448</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/libs2ml-a-library-for-scalable-second-order-machine-learning-algorithms-1904.09448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/libs2ml-a-library-for-scalable-second-order-machine-learning-algorithms-1904.09448"/></url>
<url><loc>https://scifaro.com/en/abs/compression-and-localization-in-reinforcement-learning-for-atari-games-1904.09489</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compression-and-localization-in-reinforcement-learning-for-atari-games-1904.09489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compression-and-localization-in-reinforcement-learning-for-atari-games-1904.09489"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-deep-reinforcement-learning-for-urban-autonomous-driving-1904.09503</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-deep-reinforcement-learning-for-urban-autonomous-driving-1904.09503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-deep-reinforcement-learning-for-urban-autonomous-driving-1904.09503"/></url>
<url><loc>https://scifaro.com/en/abs/gan-based-generation-and-automatic-selection-of-explanations-for-neural-networks-1904.09533</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gan-based-generation-and-automatic-selection-of-explanations-for-neural-networks-1904.09533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gan-based-generation-and-automatic-selection-of-explanations-for-neural-networks-1904.09533"/></url>
<url><loc>https://scifaro.com/en/abs/linear-multiple-low-rank-kernel-based-stationary-gaussian-processes-regression-for-time-series-1904.09559</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-multiple-low-rank-kernel-based-stationary-gaussian-processes-regression-for-time-series-1904.09559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-multiple-low-rank-kernel-based-stationary-gaussian-processes-regression-for-time-series-1904.09559"/></url>
<url><loc>https://scifaro.com/en/abs/generative-exploration-and-exploitation-1904.09605</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-exploration-and-exploitation-1904.09605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-exploration-and-exploitation-1904.09605"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-a-prediction-in-some-nonlinear-models-1904.09615</loc><lastmod>2022-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-a-prediction-in-some-nonlinear-models-1904.09615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-a-prediction-in-some-nonlinear-models-1904.09615"/></url>
<url><loc>https://scifaro.com/en/abs/hcfcontext-smartphone-context-inference-via-sequential-history-based-collaborative-filtering-1904.09631</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hcfcontext-smartphone-context-inference-via-sequential-history-based-collaborative-filtering-1904.09631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hcfcontext-smartphone-context-inference-via-sequential-history-based-collaborative-filtering-1904.09631"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-explainability-leveraging-interpretability-for-improved-adversarial-learning-1904.09633</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-explainability-leveraging-interpretability-for-improved-adversarial-learning-1904.09633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-explainability-leveraging-interpretability-for-improved-adversarial-learning-1904.09633"/></url>
<url><loc>https://scifaro.com/en/abs/intermittent-learning-on-device-machine-learning-on-intermittently-powered-system-1904.09644</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intermittent-learning-on-device-machine-learning-on-intermittently-powered-system-1904.09644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intermittent-learning-on-device-machine-learning-on-intermittently-powered-system-1904.09644"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-sex-specific-and-age-dependent-classification-model-for-parkinson-s-diagnosis-using-handwriting-measurement-1904.09651</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-sex-specific-and-age-dependent-classification-model-for-parkinson-s-diagnosis-using-handwriting-measurement-1904.09651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-sex-specific-and-age-dependent-classification-model-for-parkinson-s-diagnosis-using-handwriting-measurement-1904.09651"/></url>
<url><loc>https://scifaro.com/en/abs/solution-of-definite-integrals-using-functional-link-artificial-neural-networks-1904.09656</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solution-of-definite-integrals-using-functional-link-artificial-neural-networks-1904.09656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solution-of-definite-integrals-using-functional-link-artificial-neural-networks-1904.09656"/></url>
<url><loc>https://scifaro.com/en/abs/ddgk-learning-graph-representations-for-deep-divergence-graph-kernels-1904.09671</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ddgk-learning-graph-representations-for-deep-divergence-graph-kernels-1904.09671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ddgk-learning-graph-representations-for-deep-divergence-graph-kernels-1904.09671"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-generalization-in-a-deep-seq2seq-model-by-separating-syntax-and-semantics-1904.09708</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-generalization-in-a-deep-seq2seq-model-by-separating-syntax-and-semantics-1904.09708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-generalization-in-a-deep-seq2seq-model-by-separating-syntax-and-semantics-1904.09708"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-weakly-supervised-learning-maximize-gain-and-maintain-safeness-1904.09743</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-weakly-supervised-learning-maximize-gain-and-maintain-safeness-1904.09743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-weakly-supervised-learning-maximize-gain-and-maintain-safeness-1904.09743"/></url>
<url><loc>https://scifaro.com/en/abs/training-generative-networks-using-random-discriminators-1904.09775</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-generative-networks-using-random-discriminators-1904.09775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-generative-networks-using-random-discriminators-1904.09775"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-dropout-for-recurrent-neural-networks-1904.09816</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-dropout-for-recurrent-neural-networks-1904.09816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-dropout-for-recurrent-neural-networks-1904.09816"/></url>
<url><loc>https://scifaro.com/en/abs/learning-gradient-based-ica-by-neurally-estimating-mutual-information-1904.09858</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-gradient-based-ica-by-neurally-estimating-mutual-information-1904.09858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-gradient-based-ica-by-neurally-estimating-mutual-information-1904.09858"/></url>
<url><loc>https://scifaro.com/en/abs/tracking-and-improving-information-in-the-service-of-fairness-1904.09942</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tracking-and-improving-information-in-the-service-of-fairness-1904.09942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tracking-and-improving-information-in-the-service-of-fairness-1904.09942"/></url>
<url><loc>https://scifaro.com/en/abs/plume-polyhedral-learning-using-mixture-of-experts-1904.09948</loc><lastmod>2019-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plume-polyhedral-learning-using-mixture-of-experts-1904.09948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plume-polyhedral-learning-using-mixture-of-experts-1904.09948"/></url>
<url><loc>https://scifaro.com/en/abs/graphnas-graph-neural-architecture-search-with-reinforcement-learning-1904.09981</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphnas-graph-neural-architecture-search-with-reinforcement-learning-1904.09981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphnas-graph-neural-architecture-search-with-reinforcement-learning-1904.09981"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-practical-applications-of-multi-armed-and-contextual-bandits-1904.10040</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-practical-applications-of-multi-armed-and-contextual-bandits-1904.10040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-practical-applications-of-multi-armed-and-contextual-bandits-1904.10040"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-differentially-private-computation-of-functions-with-correlated-noise-1904.10059</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-differentially-private-computation-of-functions-with-correlated-noise-1904.10059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-differentially-private-computation-of-functions-with-correlated-noise-1904.10059"/></url>
<url><loc>https://scifaro.com/en/abs/the-minerl-2019-competition-on-sample-efficient-reinforcement-learning-using-human-priors-1904.10079</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-minerl-2019-competition-on-sample-efficient-reinforcement-learning-using-human-priors-1904.10079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-minerl-2019-competition-on-sample-efficient-reinforcement-learning-using-human-priors-1904.10079"/></url>
<url><loc>https://scifaro.com/en/abs/non-stationary-markov-decision-processes-a-worst-case-approach-using-model-based-reinforcement-learning-extended-version-1904.10090</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-stationary-markov-decision-processes-a-worst-case-approach-using-model-based-reinforcement-learning-extended-version-1904.10090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-stationary-markov-decision-processes-a-worst-case-approach-using-model-based-reinforcement-learning-extended-version-1904.10090"/></url>
<url><loc>https://scifaro.com/en/abs/dag-gnn-dag-structure-learning-with-graph-neural-networks-1904.10098</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dag-gnn-dag-structure-learning-with-graph-neural-networks-1904.10098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dag-gnn-dag-structure-learning-with-graph-neural-networks-1904.10098"/></url>
<url><loc>https://scifaro.com/en/abs/multiview-hessian-regularization-for-image-annotation-1904.10100</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiview-hessian-regularization-for-image-annotation-1904.10100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiview-hessian-regularization-for-image-annotation-1904.10100"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-primal-dual-algorithms-with-faster-convergence-than-o-1-sqrt-t-for-problems-without-bilinear-structure-1904.10112</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-primal-dual-algorithms-with-faster-convergence-than-o-1-sqrt-t-for-problems-without-bilinear-structure-1904.10112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-primal-dual-algorithms-with-faster-convergence-than-o-1-sqrt-t-for-problems-without-bilinear-structure-1904.10112"/></url>
<url><loc>https://scifaro.com/en/abs/semi-cyclic-stochastic-gradient-descent-1904.10120</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-cyclic-stochastic-gradient-descent-1904.10120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-cyclic-stochastic-gradient-descent-1904.10120"/></url>
<url><loc>https://scifaro.com/en/abs/bounds-in-query-learning-1904.10122</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounds-in-query-learning-1904.10122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounds-in-query-learning-1904.10122"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-crop-classification-of-low-resolution-satellite-imagery-with-capsule-layers-and-distributed-attention-1904.10130</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-crop-classification-of-low-resolution-satellite-imagery-with-capsule-layers-and-distributed-attention-1904.10130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-crop-classification-of-low-resolution-satellite-imagery-with-capsule-layers-and-distributed-attention-1904.10130"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-structure-adaptive-graph-learning-for-robust-semi-supervised-classification-1904.10146</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-structure-adaptive-graph-learning-for-robust-semi-supervised-classification-1904.10146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-structure-adaptive-graph-learning-for-robust-semi-supervised-classification-1904.10146"/></url>
<url><loc>https://scifaro.com/en/abs/learning-feature-sparse-principal-components-1904.10155</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-feature-sparse-principal-components-1904.10155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-feature-sparse-principal-components-1904.10155"/></url>
<url><loc>https://scifaro.com/en/abs/t-svd-based-non-convex-tensor-completion-and-robust-principal-component-analysis-1904.10165</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/t-svd-based-non-convex-tensor-completion-and-robust-principal-component-analysis-1904.10165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/t-svd-based-non-convex-tensor-completion-and-robust-principal-component-analysis-1904.10165"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-learning-and-estimation-of-piano-fingering-1904.10237</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-learning-and-estimation-of-piano-fingering-1904.10237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-learning-and-estimation-of-piano-fingering-1904.10237"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-sleep-staging-with-raw-single-channel-eeg-using-deep-residual-convnets-1904.10255</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-sleep-staging-with-raw-single-channel-eeg-using-deep-residual-convnets-1904.10255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-sleep-staging-with-raw-single-channel-eeg-using-deep-residual-convnets-1904.10255"/></url>
<url><loc>https://scifaro.com/en/abs/improving-benchmarks-for-autonomous-vehicles-testing-using-synthetically-generated-images-1904.10261</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-benchmarks-for-autonomous-vehicles-testing-using-synthetically-generated-images-1904.10261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-benchmarks-for-autonomous-vehicles-testing-using-synthetically-generated-images-1904.10261"/></url>
<url><loc>https://scifaro.com/en/abs/cpm-sensitive-auc-for-ctr-prediction-1904.10272</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cpm-sensitive-auc-for-ctr-prediction-1904.10272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cpm-sensitive-auc-for-ctr-prediction-1904.10272"/></url>
<url><loc>https://scifaro.com/en/abs/quaternion-knowledge-graph-embeddings-1904.10281</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quaternion-knowledge-graph-embeddings-1904.10281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quaternion-knowledge-graph-embeddings-1904.10281"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-fisher-rao-document-distance-1904.10294</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-fisher-rao-document-distance-1904.10294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-fisher-rao-document-distance-1904.10294"/></url>
<url><loc>https://scifaro.com/en/abs/read-classification-using-semi-supervised-deep-learning-1904.10353</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/read-classification-using-semi-supervised-deep-learning-1904.10353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/read-classification-using-semi-supervised-deep-learning-1904.10353"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-cross-country-skiing-techniques-using-power-meters-in-ski-poles-1904.10359</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-cross-country-skiing-techniques-using-power-meters-in-ski-poles-1904.10359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-cross-country-skiing-techniques-using-power-meters-in-ski-poles-1904.10359"/></url>
<url><loc>https://scifaro.com/en/abs/learning-relevant-features-for-statistical-inference-1904.10387</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-relevant-features-for-statistical-inference-1904.10387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-relevant-features-for-statistical-inference-1904.10387"/></url>
<url><loc>https://scifaro.com/en/abs/generated-loss-augmented-training-and-multiscale-vae-1904.10446</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generated-loss-augmented-training-and-multiscale-vae-1904.10446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generated-loss-augmented-training-and-multiscale-vae-1904.10446"/></url>
<url><loc>https://scifaro.com/en/abs/latent-variable-algorithms-for-multimodal-learning-and-sensor-fusion-1904.10450</loc><lastmod>2019-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-variable-algorithms-for-multimodal-learning-and-sensor-fusion-1904.10450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-variable-algorithms-for-multimodal-learning-and-sensor-fusion-1904.10450"/></url>
<url><loc>https://scifaro.com/en/abs/generating-long-sequences-with-sparse-transformers-1904.10509</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-long-sequences-with-sparse-transformers-1904.10509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-long-sequences-with-sparse-transformers-1904.10509"/></url>
<url><loc>https://scifaro.com/en/abs/block-distributed-gradient-boosted-trees-1904.10522</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-distributed-gradient-boosted-trees-1904.10522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-distributed-gradient-boosted-trees-1904.10522"/></url>
<url><loc>https://scifaro.com/en/abs/cascademl-an-automatic-neural-network-architecture-evolution-and-training-algorithm-for-multi-label-classification-1904.10551</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cascademl-an-automatic-neural-network-architecture-evolution-and-training-algorithm-for-multi-label-classification-1904.10551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cascademl-an-automatic-neural-network-architecture-evolution-and-training-algorithm-for-multi-label-classification-1904.10551"/></url>
<url><loc>https://scifaro.com/en/abs/ml-kfhe-multi-label-ensemble-classification-algorithm-exploiting-sensor-fusion-properties-of-the-kalman-filter-1904.10552</loc><lastmod>2023-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ml-kfhe-multi-label-ensemble-classification-algorithm-exploiting-sensor-fusion-properties-of-the-kalman-filter-1904.10552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ml-kfhe-multi-label-ensemble-classification-algorithm-exploiting-sensor-fusion-properties-of-the-kalman-filter-1904.10552"/></url>
<url><loc>https://scifaro.com/en/abs/deep-q-learning-for-nash-equilibria-nash-dqn-1904.10554</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-q-learning-for-nash-equilibria-nash-dqn-1904.10554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-q-learning-for-nash-equilibria-nash-dqn-1904.10554"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-assisted-associative-adversarial-network-applying-quantum-annealing-in-deep-learning-1904.10573</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-assisted-associative-adversarial-network-applying-quantum-annealing-in-deep-learning-1904.10573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-assisted-associative-adversarial-network-applying-quantum-annealing-in-deep-learning-1904.10573"/></url>
<url><loc>https://scifaro.com/en/abs/integer-programming-for-learning-directed-acyclic-graphs-from-continuous-data-1904.10574</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integer-programming-for-learning-directed-acyclic-graphs-from-continuous-data-1904.10574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integer-programming-for-learning-directed-acyclic-graphs-from-continuous-data-1904.10574"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-study-of-credit-card-fraud-detection-supervised-versus-unsupervised-1904.10604</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-study-of-credit-card-fraud-detection-supervised-versus-unsupervised-1904.10604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-study-of-credit-card-fraud-detection-supervised-versus-unsupervised-1904.10604"/></url>
<url><loc>https://scifaro.com/en/abs/design-automation-for-efficient-deep-learning-computing-1904.10616</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/design-automation-for-efficient-deep-learning-computing-1904.10616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/design-automation-for-efficient-deep-learning-computing-1904.10616"/></url>
<url><loc>https://scifaro.com/en/abs/low-memory-neural-network-training-a-technical-report-1904.10631</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-memory-neural-network-training-a-technical-report-1904.10631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-memory-neural-network-training-a-technical-report-1904.10631"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-entropy-based-significance-of-itemsets-1904.10632</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-entropy-based-significance-of-itemsets-1904.10632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-entropy-based-significance-of-itemsets-1904.10632"/></url>
<url><loc>https://scifaro.com/en/abs/towards-combining-on-off-policy-methods-for-real-world-applications-1904.10642</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-combining-on-off-policy-methods-for-real-world-applications-1904.10642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-combining-on-off-policy-methods-for-real-world-applications-1904.10642"/></url>
<url><loc>https://scifaro.com/en/abs/facilitating-bayesian-continual-learning-by-natural-gradients-and-stein-gradients-1904.10644</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/facilitating-bayesian-continual-learning-by-natural-gradients-and-stein-gradients-1904.10644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/facilitating-bayesian-continual-learning-by-natural-gradients-and-stein-gradients-1904.10644"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-lipschitz-q-learning-1904.10653</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-lipschitz-q-learning-1904.10653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-lipschitz-q-learning-1904.10653"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-classification-of-hyperspectral-data-a-comparative-review-1904.10674</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-classification-of-hyperspectral-data-a-comparative-review-1904.10674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-classification-of-hyperspectral-data-a-comparative-review-1904.10674"/></url>
<url><loc>https://scifaro.com/en/abs/concise-fuzzy-system-modeling-integrating-soft-subspace-clustering-and-sparse-learning-1904.10683</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concise-fuzzy-system-modeling-integrating-soft-subspace-clustering-and-sparse-learning-1904.10683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concise-fuzzy-system-modeling-integrating-soft-subspace-clustering-and-sparse-learning-1904.10683"/></url>
<url><loc>https://scifaro.com/en/abs/layer-dynamics-of-linearised-neural-nets-1904.10689</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layer-dynamics-of-linearised-neural-nets-1904.10689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layer-dynamics-of-linearised-neural-nets-1904.10689"/></url>
<url><loc>https://scifaro.com/en/abs/generating-token-level-explanations-for-natural-language-inference-1904.10717</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-token-level-explanations-for-natural-language-inference-1904.10717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-token-level-explanations-for-natural-language-inference-1904.10717"/></url>
<url><loc>https://scifaro.com/en/abs/neural-logic-reinforcement-learning-1904.10729</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-logic-reinforcement-learning-1904.10729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-logic-reinforcement-learning-1904.10729"/></url>
<url><loc>https://scifaro.com/en/abs/a-bag-of-concepts-model-improves-relation-extraction-in-a-narrow-knowledge-domain-with-limited-data-1904.10743</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bag-of-concepts-model-improves-relation-extraction-in-a-narrow-knowledge-domain-with-limited-data-1904.10743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bag-of-concepts-model-improves-relation-extraction-in-a-narrow-knowledge-domain-with-limited-data-1904.10743"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-adaptive-submodularity-approximation-guarantees-of-greedy-policy-with-adaptive-submodularity-ratio-1904.10748</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-adaptive-submodularity-approximation-guarantees-of-greedy-policy-with-adaptive-submodularity-ratio-1904.10748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-adaptive-submodularity-approximation-guarantees-of-greedy-policy-with-adaptive-submodularity-ratio-1904.10748"/></url>
<url><loc>https://scifaro.com/en/abs/baconian-a-unified-open-source-framework-for-model-based-reinforcement-learning-1904.10762</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/baconian-a-unified-open-source-framework-for-model-based-reinforcement-learning-1904.10762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/baconian-a-unified-open-source-framework-for-model-based-reinforcement-learning-1904.10762"/></url>
<url><loc>https://scifaro.com/en/abs/some-limit-properties-of-markov-chains-induced-by-stochastic-recursive-algorithms-1904.10778</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-limit-properties-of-markov-chains-induced-by-stochastic-recursive-algorithms-1904.10778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-limit-properties-of-markov-chains-induced-by-stochastic-recursive-algorithms-1904.10778"/></url>
<url><loc>https://scifaro.com/en/abs/learning-bodily-and-temporal-attention-in-protective-movement-behavior-detection-1904.10824</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-bodily-and-temporal-attention-in-protective-movement-behavior-detection-1904.10824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-bodily-and-temporal-attention-in-protective-movement-behavior-detection-1904.10824"/></url>
<url><loc>https://scifaro.com/en/abs/wearable-based-parkinson-s-disease-severity-monitoring-using-deep-learning-1904.10829</loc><lastmod>2019-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wearable-based-parkinson-s-disease-severity-monitoring-using-deep-learning-1904.10829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wearable-based-parkinson-s-disease-severity-monitoring-using-deep-learning-1904.10829"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-assignment-flow-label-learning-on-feature-manifolds-by-spatially-regularized-geometric-assignment-1904.10863</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-assignment-flow-label-learning-on-feature-manifolds-by-spatially-regularized-geometric-assignment-1904.10863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-assignment-flow-label-learning-on-feature-manifolds-by-spatially-regularized-geometric-assignment-1904.10863"/></url>
<url><loc>https://scifaro.com/en/abs/plug-in-trainable-gate-for-streamlining-arbitrary-neural-networks-1904.10921</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plug-in-trainable-gate-for-streamlining-arbitrary-neural-networks-1904.10921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plug-in-trainable-gate-for-streamlining-arbitrary-neural-networks-1904.10921"/></url>
<url><loc>https://scifaro.com/en/abs/the-scientific-method-in-the-science-of-machine-learning-1904.10922</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-scientific-method-in-the-science-of-machine-learning-1904.10922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-scientific-method-in-the-science-of-machine-learning-1904.10922"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-weakly-correlated-time-series-in-tasks-of-electronic-commerce-1904.10927</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-weakly-correlated-time-series-in-tasks-of-electronic-commerce-1904.10927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-weakly-correlated-time-series-in-tasks-of-electronic-commerce-1904.10927"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-progression-to-alzheimer-s-disease-with-deep-infomax-1904.10931</loc><lastmod>2019-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-progression-to-alzheimer-s-disease-with-deep-infomax-1904.10931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-progression-to-alzheimer-s-disease-with-deep-infomax-1904.10931"/></url>
<url><loc>https://scifaro.com/en/abs/generated-loss-and-augmented-training-of-mnist-vae-1904.10937</loc><lastmod>2019-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generated-loss-and-augmented-training-of-mnist-vae-1904.10937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generated-loss-and-augmented-training-of-mnist-vae-1904.10937"/></url>
<url><loc>https://scifaro.com/en/abs/target-based-temporal-difference-learning-1904.10945</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/target-based-temporal-difference-learning-1904.10945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/target-based-temporal-difference-learning-1904.10945"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-approach-for-securing-audio-classification-against-adversarial-attacks-1904.10990</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-approach-for-securing-audio-classification-against-adversarial-attacks-1904.10990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-approach-for-securing-audio-classification-against-adversarial-attacks-1904.10990"/></url>
<url><loc>https://scifaro.com/en/abs/pan-path-integral-based-convolution-for-deep-graph-neural-networks-1904.10996</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pan-path-integral-based-convolution-for-deep-graph-neural-networks-1904.10996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pan-path-integral-based-convolution-for-deep-graph-neural-networks-1904.10996"/></url>
<url><loc>https://scifaro.com/en/abs/how-you-act-tells-a-lot-privacy-leakage-attack-on-deep-reinforcement-learning-1904.11082</loc><lastmod>2019-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-you-act-tells-a-lot-privacy-leakage-attack-on-deep-reinforcement-learning-1904.11082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-you-act-tells-a-lot-privacy-leakage-attack-on-deep-reinforcement-learning-1904.11082"/></url>
<url><loc>https://scifaro.com/en/abs/d-vae-a-variational-autoencoder-for-directed-acyclic-graphs-1904.11088</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/d-vae-a-variational-autoencoder-for-directed-acyclic-graphs-1904.11088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/d-vae-a-variational-autoencoder-for-directed-acyclic-graphs-1904.11088"/></url>
<url><loc>https://scifaro.com/en/abs/gan-augmented-text-anomaly-detection-with-sequences-of-deep-statistics-1904.11094</loc><lastmod>2019-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gan-augmented-text-anomaly-detection-with-sequences-of-deep-statistics-1904.11094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gan-augmented-text-anomaly-detection-with-sequences-of-deep-statistics-1904.11094"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-the-search-space-for-hyperparameter-optimization-using-group-sparsity-1904.11095</loc><lastmod>2019-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-the-search-space-for-hyperparameter-optimization-using-group-sparsity-1904.11095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-the-search-space-for-hyperparameter-optimization-using-group-sparsity-1904.11095"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-optimal-critical-care-pain-management-with-morphine-using-dueling-double-deep-q-networks-1904.11115</loc><lastmod>2019-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-optimal-critical-care-pain-management-with-morphine-using-dueling-double-deep-q-networks-1904.11115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-optimal-critical-care-pain-management-with-morphine-using-dueling-double-deep-q-networks-1904.11115"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitz-bandit-optimization-with-improved-efficiency-1904.11131</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitz-bandit-optimization-with-improved-efficiency-1904.11131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitz-bandit-optimization-with-improved-efficiency-1904.11131"/></url>
<url><loc>https://scifaro.com/en/abs/reviewing-data-access-patterns-and-computational-redundancy-for-machine-learning-algorithms-1904.11203</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reviewing-data-access-patterns-and-computational-redundancy-for-machine-learning-algorithms-1904.11203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reviewing-data-access-patterns-and-computational-redundancy-for-machine-learning-algorithms-1904.11203"/></url>
<url><loc>https://scifaro.com/en/abs/towards-explainable-anticancer-compound-sensitivity-prediction-via-multimodal-attention-based-convolutional-encoders-1904.11223</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-explainable-anticancer-compound-sensitivity-prediction-via-multimodal-attention-based-convolutional-encoders-1904.11223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-explainable-anticancer-compound-sensitivity-prediction-via-multimodal-attention-based-convolutional-encoders-1904.11223"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-optimal-graph-clustering-1904.11266</loc><lastmod>2019-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-optimal-graph-clustering-1904.11266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-optimal-graph-clustering-1904.11266"/></url>
<url><loc>https://scifaro.com/en/abs/stability-and-optimization-error-of-stochastic-gradient-descent-for-pairwise-learning-1904.11316</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-and-optimization-error-of-stochastic-gradient-descent-for-pairwise-learning-1904.11316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-and-optimization-error-of-stochastic-gradient-descent-for-pairwise-learning-1904.11316"/></url>
<url><loc>https://scifaro.com/en/abs/communication-trade-offs-for-synchronized-distributed-sgd-with-large-step-size-1904.11325</loc><lastmod>2019-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-trade-offs-for-synchronized-distributed-sgd-with-large-step-size-1904.11325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-trade-offs-for-synchronized-distributed-sgd-with-large-step-size-1904.11325"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-multi-task-learning-based-on-extreme-learning-machines-1904.11366</loc><lastmod>2019-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-multi-task-learning-based-on-extreme-learning-machines-1904.11366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-multi-task-learning-based-on-extreme-learning-machines-1904.11366"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-search-for-robust-optima-1904.11416</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-search-for-robust-optima-1904.11416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-search-for-robust-optima-1904.11416"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-state-based-eligibility-traces-for-more-sample-efficient-policy-evaluation-1904.11439</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-state-based-eligibility-traces-for-more-sample-efficient-policy-evaluation-1904.11439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-state-based-eligibility-traces-for-more-sample-efficient-policy-evaluation-1904.11439"/></url>
<url><loc>https://scifaro.com/en/abs/ray-interference-a-source-of-plateaus-in-deep-reinforcement-learning-1904.11455</loc><lastmod>2019-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ray-interference-a-source-of-plateaus-in-deep-reinforcement-learning-1904.11455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ray-interference-a-source-of-plateaus-in-deep-reinforcement-learning-1904.11455"/></url>
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<url><loc>https://scifaro.com/en/abs/machine-learning-for-distributed-acoustic-sensors-classic-versus-image-and-deep-neural-networks-approach-1904.11546</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-distributed-acoustic-sensors-classic-versus-image-and-deep-neural-networks-approach-1904.11546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-distributed-acoustic-sensors-classic-versus-image-and-deep-neural-networks-approach-1904.11546"/></url>
<url><loc>https://scifaro.com/en/abs/warm-up-cold-start-advertisements-improving-ctr-predictions-via-learning-to-learn-id-embeddings-1904.11547</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/warm-up-cold-start-advertisements-improving-ctr-predictions-via-learning-to-learn-id-embeddings-1904.11547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/warm-up-cold-start-advertisements-improving-ctr-predictions-via-learning-to-learn-id-embeddings-1904.11547"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-adversarial-learning-for-intrusion-detection-in-computer-networks-1904.11577</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-adversarial-learning-for-intrusion-detection-in-computer-networks-1904.11577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-adversarial-learning-for-intrusion-detection-in-computer-networks-1904.11577"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-generative-active-deep-learning-1904.11643</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-generative-active-deep-learning-1904.11643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-generative-active-deep-learning-1904.11643"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-orthogonal-direction-mesh-adaptive-direct-search-approach-for-svm-hyperparameter-tuning-1904.11649</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-orthogonal-direction-mesh-adaptive-direct-search-approach-for-svm-hyperparameter-tuning-1904.11649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-orthogonal-direction-mesh-adaptive-direct-search-approach-for-svm-hyperparameter-tuning-1904.11649"/></url>
<url><loc>https://scifaro.com/en/abs/dpvis-visual-analytics-with-hidden-markov-models-for-disease-progression-pathways-1904.11652</loc><lastmod>2020-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dpvis-visual-analytics-with-hidden-markov-models-for-disease-progression-pathways-1904.11652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dpvis-visual-analytics-with-hidden-markov-models-for-disease-progression-pathways-1904.11652"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-regret-of-convex-and-smooth-functions-1904.11681</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-regret-of-convex-and-smooth-functions-1904.11681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-regret-of-convex-and-smooth-functions-1904.11681"/></url>
<url><loc>https://scifaro.com/en/abs/autosf-searching-scoring-functions-for-knowledge-graph-embedding-1904.11682</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autosf-searching-scoring-functions-for-knowledge-graph-embedding-1904.11682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autosf-searching-scoring-functions-for-knowledge-graph-embedding-1904.11682"/></url>
<url><loc>https://scifaro.com/en/abs/robust-metric-learning-based-on-the-rescaled-hinge-loss-1904.11711</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-metric-learning-based-on-the-rescaled-hinge-loss-1904.11711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-metric-learning-based-on-the-rescaled-hinge-loss-1904.11711"/></url>
<url><loc>https://scifaro.com/en/abs/classification-from-pairwise-similarities-dissimilarities-and-unlabeled-data-via-empirical-risk-minimization-1904.11717</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-from-pairwise-similarities-dissimilarities-and-unlabeled-data-via-empirical-risk-minimization-1904.11717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-from-pairwise-similarities-dissimilarities-and-unlabeled-data-via-empirical-risk-minimization-1904.11717"/></url>
<url><loc>https://scifaro.com/en/abs/deep-irt-make-deep-learning-based-knowledge-tracing-explainable-using-item-response-theory-1904.11738</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-irt-make-deep-learning-based-knowledge-tracing-explainable-using-item-response-theory-1904.11738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-irt-make-deep-learning-based-knowledge-tracing-explainable-using-item-response-theory-1904.11738"/></url>
<url><loc>https://scifaro.com/en/abs/factored-contextual-policy-search-with-bayesian-optimization-1904.11761</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factored-contextual-policy-search-with-bayesian-optimization-1904.11761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factored-contextual-policy-search-with-bayesian-optimization-1904.11761"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-verification-of-support-vector-machines-1904.11803</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-verification-of-support-vector-machines-1904.11803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-verification-of-support-vector-machines-1904.11803"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-recurrent-neural-network-explanations-1904.11829</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-recurrent-neural-network-explanations-1904.11829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-recurrent-neural-network-explanations-1904.11829"/></url>
<url><loc>https://scifaro.com/en/abs/deepfreak-learning-crystallography-diffraction-patterns-with-automated-machine-learning-1904.11834</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepfreak-learning-crystallography-diffraction-patterns-with-automated-machine-learning-1904.11834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepfreak-learning-crystallography-diffraction-patterns-with-automated-machine-learning-1904.11834"/></url>
<url><loc>https://scifaro.com/en/abs/copy-mechanism-and-tailored-training-for-character-based-data-to-text-generation-1904.11838</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copy-mechanism-and-tailored-training-for-character-based-data-to-text-generation-1904.11838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copy-mechanism-and-tailored-training-for-character-based-data-to-text-generation-1904.11838"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-prune-speeding-up-repeated-computations-1904.11875</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-prune-speeding-up-repeated-computations-1904.11875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-prune-speeding-up-repeated-computations-1904.11875"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-feature-embedding-for-heart-sound-classification-1904.11914</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-feature-embedding-for-heart-sound-classification-1904.11914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-feature-embedding-for-heart-sound-classification-1904.11914"/></url>
<url><loc>https://scifaro.com/en/abs/swalp-stochastic-weight-averaging-in-low-precision-training-1904.11943</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/swalp-stochastic-weight-averaging-in-low-precision-training-1904.11943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/swalp-stochastic-weight-averaging-in-low-precision-training-1904.11943"/></url>
<url><loc>https://scifaro.com/en/abs/on-exact-computation-with-an-infinitely-wide-neural-net-1904.11955</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-exact-computation-with-an-infinitely-wide-neural-net-1904.11955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-exact-computation-with-an-infinitely-wide-neural-net-1904.11955"/></url>
<url><loc>https://scifaro.com/en/abs/learning-semantic-vector-representations-of-source-code-via-a-siamese-neural-network-1904.11968</loc><lastmod>2019-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-semantic-vector-representations-of-source-code-via-a-siamese-neural-network-1904.11968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-semantic-vector-representations-of-source-code-via-a-siamese-neural-network-1904.11968"/></url>
<url><loc>https://scifaro.com/en/abs/knowing-when-to-stop-evaluation-and-verification-of-conformity-to-output-size-specifications-1904.12004</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowing-when-to-stop-evaluation-and-verification-of-conformity-to-output-size-specifications-1904.12004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowing-when-to-stop-evaluation-and-verification-of-conformity-to-output-size-specifications-1904.12004"/></url>
<url><loc>https://scifaro.com/en/abs/a-distributed-method-for-fitting-laplacian-regularized-stratified-models-1904.12017</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributed-method-for-fitting-laplacian-regularized-stratified-models-1904.12017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributed-method-for-fitting-laplacian-regularized-stratified-models-1904.12017"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-mini-batch-sgd-for-elastic-distributed-training-learning-in-the-limbo-of-resources-1904.12043</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-mini-batch-sgd-for-elastic-distributed-training-learning-in-the-limbo-of-resources-1904.12043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-mini-batch-sgd-for-elastic-distributed-training-learning-in-the-limbo-of-resources-1904.12043"/></url>
<url><loc>https://scifaro.com/en/abs/data-poisoning-attack-against-knowledge-graph-embedding-1904.12052</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-poisoning-attack-against-knowledge-graph-embedding-1904.12052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-poisoning-attack-against-knowledge-graph-embedding-1904.12052"/></url>
<url><loc>https://scifaro.com/en/abs/sample-amplification-increasing-dataset-size-even-when-learning-is-impossible-1904.12053</loc><lastmod>2024-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-amplification-increasing-dataset-size-even-when-learning-is-impossible-1904.12053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-amplification-increasing-dataset-size-even-when-learning-is-impossible-1904.12053"/></url>
<url><loc>https://scifaro.com/en/abs/benchmark-and-survey-of-automated-machine-learning-frameworks-1904.12054</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmark-and-survey-of-automated-machine-learning-frameworks-1904.12054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmark-and-survey-of-automated-machine-learning-frameworks-1904.12054"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-family-estimation-via-adversarial-dynamics-embedding-1904.12083</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-family-estimation-via-adversarial-dynamics-embedding-1904.12083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-family-estimation-via-adversarial-dynamics-embedding-1904.12083"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-personalized-e-mail-spam-filter-using-novel-tfdcr-feature-selection-with-dynamic-feature-update-1904.12118</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-personalized-e-mail-spam-filter-using-novel-tfdcr-feature-selection-with-dynamic-feature-update-1904.12118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-personalized-e-mail-spam-filter-using-novel-tfdcr-feature-selection-with-dynamic-feature-update-1904.12118"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-with-unpredictable-feature-evolution-1904.12171</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-with-unpredictable-feature-evolution-1904.12171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-with-unpredictable-feature-evolution-1904.12171"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-clustering-invariance-in-irregular-healthcare-time-series-1904.12206</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-clustering-invariance-in-irregular-healthcare-time-series-1904.12206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-clustering-invariance-in-irregular-healthcare-time-series-1904.12206"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-confident-classifiers-for-out-of-distribution-detection-1904.12220</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-confident-classifiers-for-out-of-distribution-detection-1904.12220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-confident-classifiers-for-out-of-distribution-detection-1904.12220"/></url>
<url><loc>https://scifaro.com/en/abs/arbitrage-of-energy-storage-in-electricity-markets-with-deep-reinforcement-learning-1904.12232</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arbitrage-of-energy-storage-in-electricity-markets-with-deep-reinforcement-learning-1904.12232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arbitrage-of-energy-storage-in-electricity-markets-with-deep-reinforcement-learning-1904.12232"/></url>
<url><loc>https://scifaro.com/en/abs/non-stochastic-multi-player-multi-armed-bandits-optimal-rate-with-collision-information-sublinear-without-1904.12233</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-stochastic-multi-player-multi-armed-bandits-optimal-rate-with-collision-information-sublinear-without-1904.12233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-stochastic-multi-player-multi-armed-bandits-optimal-rate-with-collision-information-sublinear-without-1904.12233"/></url>
<url><loc>https://scifaro.com/en/abs/sistema-sensor-para-el-monitoreo-ambiental-basado-en-redes-neuronales-1904.12234</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sistema-sensor-para-el-monitoreo-ambiental-basado-en-redes-neuronales-1904.12234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sistema-sensor-para-el-monitoreo-ambiental-basado-en-redes-neuronales-1904.12234"/></url>
<url><loc>https://scifaro.com/en/abs/deep-pnml-predictive-normalized-maximum-likelihood-for-deep-neural-networks-1904.12286</loc><lastmod>2020-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-pnml-predictive-normalized-maximum-likelihood-for-deep-neural-networks-1904.12286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-pnml-predictive-normalized-maximum-likelihood-for-deep-neural-networks-1904.12286"/></url>
<url><loc>https://scifaro.com/en/abs/deep-maps-machine-learning-based-mobile-air-pollution-sensing-1904.12303</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-maps-machine-learning-based-mobile-air-pollution-sensing-1904.12303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-maps-machine-learning-based-mobile-air-pollution-sensing-1904.12303"/></url>
<url><loc>https://scifaro.com/en/abs/real-numbers-data-science-and-chaos-how-to-fit-any-dataset-with-a-single-parameter-1904.12320</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-numbers-data-science-and-chaos-how-to-fit-any-dataset-with-a-single-parameter-1904.12320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-numbers-data-science-and-chaos-how-to-fit-any-dataset-with-a-single-parameter-1904.12320"/></url>
<url><loc>https://scifaro.com/en/abs/support-vector-regression-via-a-combined-reward-cum-penalty-loss-function-1904.12331</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-vector-regression-via-a-combined-reward-cum-penalty-loss-function-1904.12331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-vector-regression-via-a-combined-reward-cum-penalty-loss-function-1904.12331"/></url>
<url><loc>https://scifaro.com/en/abs/learning-walk-and-trot-from-the-same-objective-using-different-types-of-exploration-1904.12336</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-walk-and-trot-from-the-same-objective-using-different-types-of-exploration-1904.12336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-walk-and-trot-from-the-same-objective-using-different-types-of-exploration-1904.12336"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-prediction-models-for-one-year-mortality-in-patients-with-acute-myocardial-infarction-and-post-myocardial-infarction-syndrome-1904.12383</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-prediction-models-for-one-year-mortality-in-patients-with-acute-myocardial-infarction-and-post-myocardial-infarction-syndrome-1904.12383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-prediction-models-for-one-year-mortality-in-patients-with-acute-myocardial-infarction-and-post-myocardial-infarction-syndrome-1904.12383"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-autoencoder-assisted-recurrent-neural-networks-to-prevent-cases-of-sudden-infant-death-syndrome-1904.12386</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-autoencoder-assisted-recurrent-neural-networks-to-prevent-cases-of-sudden-infant-death-syndrome-1904.12386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-autoencoder-assisted-recurrent-neural-networks-to-prevent-cases-of-sudden-infant-death-syndrome-1904.12386"/></url>
<url><loc>https://scifaro.com/en/abs/tmixt-a-process-flow-for-transcribing-mixed-handwritten-and-machine-printed-text-1904.12387</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tmixt-a-process-flow-for-transcribing-mixed-handwritten-and-machine-printed-text-1904.12387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tmixt-a-process-flow-for-transcribing-mixed-handwritten-and-machine-printed-text-1904.12387"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-teacher-student-learning-1904.12399</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-teacher-student-learning-1904.12399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-teacher-student-learning-1904.12399"/></url>
<url><loc>https://scifaro.com/en/abs/attentive-adversarial-learning-for-domain-invariant-training-1904.12400</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attentive-adversarial-learning-for-domain-invariant-training-1904.12400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attentive-adversarial-learning-for-domain-invariant-training-1904.12400"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-speaker-adaptation-1904.12407</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-speaker-adaptation-1904.12407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-speaker-adaptation-1904.12407"/></url>
<url><loc>https://scifaro.com/en/abs/a-convolution-recurrent-autoencoder-for-spatio-temporal-missing-data-imputation-1904.12413</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convolution-recurrent-autoencoder-for-spatio-temporal-missing-data-imputation-1904.12413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convolution-recurrent-autoencoder-for-spatio-temporal-missing-data-imputation-1904.12413"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-of-pre-processing-experts-model-for-noise-robust-deep-learning-on-resource-constrained-platforms-1904.12426</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-of-pre-processing-experts-model-for-noise-robust-deep-learning-on-resource-constrained-platforms-1904.12426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-of-pre-processing-experts-model-for-noise-robust-deep-learning-on-resource-constrained-platforms-1904.12426"/></url>
<url><loc>https://scifaro.com/en/abs/challenges-and-pitfalls-of-machine-learning-evaluation-and-benchmarking-1904.12437</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-and-pitfalls-of-machine-learning-evaluation-and-benchmarking-1904.12437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-and-pitfalls-of-machine-learning-evaluation-and-benchmarking-1904.12437"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-learning-with-frequent-new-product-launches-a-sequential-multinomial-logit-bandit-problem-1904.12445</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-learning-with-frequent-new-product-launches-a-sequential-multinomial-logit-bandit-problem-1904.12445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-learning-with-frequent-new-product-launches-a-sequential-multinomial-logit-bandit-problem-1904.12445"/></url>
<url><loc>https://scifaro.com/en/abs/asymmetric-impurity-functions-class-weighting-and-optimal-splits-for-binary-classification-trees-1904.12465</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymmetric-impurity-functions-class-weighting-and-optimal-splits-for-binary-classification-trees-1904.12465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymmetric-impurity-functions-class-weighting-and-optimal-splits-for-binary-classification-trees-1904.12465"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-invariant-feature-learning-with-accuracy-constraint-for-domain-generalization-1904.12543</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-invariant-feature-learning-with-accuracy-constraint-for-domain-generalization-1904.12543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-invariant-feature-learning-with-accuracy-constraint-for-domain-generalization-1904.12543"/></url>
<url><loc>https://scifaro.com/en/abs/convtimenet-a-pre-trained-deep-convolutional-neural-network-for-time-series-classification-1904.12546</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convtimenet-a-pre-trained-deep-convolutional-neural-network-for-time-series-classification-1904.12546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convtimenet-a-pre-trained-deep-convolutional-neural-network-for-time-series-classification-1904.12546"/></url>
<url><loc>https://scifaro.com/en/abs/soft-edit-distance-for-differentiable-comparison-of-symbolic-sequences-1904.12562</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-edit-distance-for-differentiable-comparison-of-symbolic-sequences-1904.12562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-edit-distance-for-differentiable-comparison-of-symbolic-sequences-1904.12562"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-computation-of-expected-hypervolume-improvement-using-box-decomposition-algorithms-1904.12672</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-computation-of-expected-hypervolume-improvement-using-box-decomposition-algorithms-1904.12672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-computation-of-expected-hypervolume-improvement-using-box-decomposition-algorithms-1904.12672"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-classification-of-urban-congestion-using-vanet-1904.12685</loc><lastmod>2020-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-classification-of-urban-congestion-using-vanet-1904.12685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-classification-of-urban-congestion-using-vanet-1904.12685"/></url>
<url><loc>https://scifaro.com/en/abs/dac-the-double-actor-critic-architecture-for-learning-options-1904.12691</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dac-the-double-actor-critic-architecture-for-learning-options-1904.12691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dac-the-double-actor-critic-architecture-for-learning-options-1904.12691"/></url>
<url><loc>https://scifaro.com/en/abs/explaine-an-approach-for-explaining-network-embedding-based-link-predictions-1904.12694</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaine-an-approach-for-explaining-network-embedding-based-link-predictions-1904.12694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaine-an-approach-for-explaining-network-embedding-based-link-predictions-1904.12694"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-modularization-techniques-in-artificial-neural-networks-1904.12770</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-modularization-techniques-in-artificial-neural-networks-1904.12770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-modularization-techniques-in-artificial-neural-networks-1904.12770"/></url>
<url><loc>https://scifaro.com/en/abs/free-gap-information-from-the-differentially-private-sparse-vector-and-noisy-max-mechanisms-1904.12773</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/free-gap-information-from-the-differentially-private-sparse-vector-and-noisy-max-mechanisms-1904.12773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/free-gap-information-from-the-differentially-private-sparse-vector-and-noisy-max-mechanisms-1904.12773"/></url>
<url><loc>https://scifaro.com/en/abs/routing-networks-and-the-challenges-of-modular-and-compositional-computation-1904.12774</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/routing-networks-and-the-challenges-of-modular-and-compositional-computation-1904.12774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/routing-networks-and-the-challenges-of-modular-and-compositional-computation-1904.12774"/></url>
<url><loc>https://scifaro.com/en/abs/graph-matching-networks-for-learning-the-similarity-of-graph-structured-objects-1904.12787</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-matching-networks-for-learning-the-similarity-of-graph-structured-objects-1904.12787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-matching-networks-for-learning-the-similarity-of-graph-structured-objects-1904.12787"/></url>
<url><loc>https://scifaro.com/en/abs/the-step-decay-schedule-a-near-optimal-geometrically-decaying-learning-rate-procedure-for-least-squares-1904.12838</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-step-decay-schedule-a-near-optimal-geometrically-decaying-learning-rate-procedure-for-least-squares-1904.12838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-step-decay-schedule-a-near-optimal-geometrically-decaying-learning-rate-procedure-for-least-squares-1904.12838"/></url>
<url><loc>https://scifaro.com/en/abs/sealion-a-framework-for-neural-network-inference-on-encrypted-data-1904.12840</loc><lastmod>2019-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sealion-a-framework-for-neural-network-inference-on-encrypted-data-1904.12840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sealion-a-framework-for-neural-network-inference-on-encrypted-data-1904.12840"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-for-free-1904.12843</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-for-free-1904.12843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-for-free-1904.12843"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-sparse-decision-trees-1904.12847</loc><lastmod>2023-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-sparse-decision-trees-1904.12847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-sparse-decision-trees-1904.12847"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-data-augmentation-for-consistency-training-1904.12848</loc><lastmod>2020-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-data-augmentation-for-consistency-training-1904.12848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-data-augmentation-for-consistency-training-1904.12848"/></url>
<url><loc>https://scifaro.com/en/abs/autocross-automatic-feature-crossing-for-tabular-data-in-real-world-applications-1904.12857</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autocross-automatic-feature-crossing-for-tabular-data-in-real-world-applications-1904.12857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autocross-automatic-feature-crossing-for-tabular-data-in-real-world-applications-1904.12857"/></url>
<url><loc>https://scifaro.com/en/abs/curriculum-learning-in-deep-neural-networks-for-financial-forecasting-1904.12887</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curriculum-learning-in-deep-neural-networks-for-financial-forecasting-1904.12887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curriculum-learning-in-deep-neural-networks-for-financial-forecasting-1904.12887"/></url>
<url><loc>https://scifaro.com/en/abs/challenges-of-real-world-reinforcement-learning-1904.12901</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-of-real-world-reinforcement-learning-1904.12901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-of-real-world-reinforcement-learning-1904.12901"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-networks-in-the-eye-of-differential-equations-1904.12933</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-networks-in-the-eye-of-differential-equations-1904.12933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-networks-in-the-eye-of-differential-equations-1904.12933"/></url>
<url><loc>https://scifaro.com/en/abs/advancing-graphsage-with-a-data-driven-node-sampling-1904.12935</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advancing-graphsage-with-a-data-driven-node-sampling-1904.12935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advancing-graphsage-with-a-data-driven-node-sampling-1904.12935"/></url>
<url><loc>https://scifaro.com/en/abs/new-optimization-algorithms-for-neural-network-training-using-operator-splitting-techniques-1904.12952</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-optimization-algorithms-for-neural-network-training-using-operator-splitting-techniques-1904.12952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-optimization-algorithms-for-neural-network-training-using-operator-splitting-techniques-1904.12952"/></url>
<url><loc>https://scifaro.com/en/abs/improving-mechanical-ventilator-clinical-decision-support-systems-with-a-machine-learning-classifier-for-determining-ventilator-mode-1904.12969</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-mechanical-ventilator-clinical-decision-support-systems-with-a-machine-learning-classifier-for-determining-ventilator-mode-1904.12969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-mechanical-ventilator-clinical-decision-support-systems-with-a-machine-learning-classifier-for-determining-ventilator-mode-1904.12969"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-extraction-of-phenotypes-from-cancer-clinical-notes-for-association-studies-1904.12973</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-extraction-of-phenotypes-from-cancer-clinical-notes-for-association-studies-1904.12973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-extraction-of-phenotypes-from-cancer-clinical-notes-for-association-studies-1904.12973"/></url>
<url><loc>https://scifaro.com/en/abs/why-should-you-trust-my-explanation-understanding-uncertainty-in-lime-explanations-1904.12991</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-should-you-trust-my-explanation-understanding-uncertainty-in-lime-explanations-1904.12991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-should-you-trust-my-explanation-understanding-uncertainty-in-lime-explanations-1904.12991"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-and-robustness-for-multiple-perturbations-1904.13000</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-and-robustness-for-multiple-perturbations-1904.13000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-and-robustness-for-multiple-perturbations-1904.13000"/></url>
<url><loc>https://scifaro.com/en/abs/encoding-categorical-variables-with-conjugate-bayesian-models-for-wework-lead-scoring-engine-1904.13001</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encoding-categorical-variables-with-conjugate-bayesian-models-for-wework-lead-scoring-engine-1904.13001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encoding-categorical-variables-with-conjugate-bayesian-models-for-wework-lead-scoring-engine-1904.13001"/></url>
<url><loc>https://scifaro.com/en/abs/sequence-to-sequence-deep-learning-models-for-solar-irradiation-forecasting-1904.13081</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequence-to-sequence-deep-learning-models-for-solar-irradiation-forecasting-1904.13081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequence-to-sequence-deep-learning-models-for-solar-irradiation-forecasting-1904.13081"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-adversarial-examples-through-nonlinear-dimensionality-reduction-1904.13094</loc><lastmod>2019-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-adversarial-examples-through-nonlinear-dimensionality-reduction-1904.13094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-adversarial-examples-through-nonlinear-dimensionality-reduction-1904.13094"/></url>
<url><loc>https://scifaro.com/en/abs/graph-convolutional-networks-with-eigenpooling-1904.13107</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-convolutional-networks-with-eigenpooling-1904.13107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-convolutional-networks-with-eigenpooling-1904.13107"/></url>
<url><loc>https://scifaro.com/en/abs/deep-spectral-clustering-using-dual-autoencoder-network-1904.13113</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-spectral-clustering-using-dual-autoencoder-network-1904.13113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-spectral-clustering-using-dual-autoencoder-network-1904.13113"/></url>
<url><loc>https://scifaro.com/en/abs/a-scalable-saliency-based-feature-selection-method-with-instance-level-information-1904.13127</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scalable-saliency-based-feature-selection-method-with-instance-level-information-1904.13127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scalable-saliency-based-feature-selection-method-with-instance-level-information-1904.13127"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-symbolic-sequential-modeling-for-speech-enhancement-1904.13142</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-symbolic-sequential-modeling-for-speech-enhancement-1904.13142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-symbolic-sequential-modeling-for-speech-enhancement-1904.13142"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-open-set-domain-adaptation-by-dual-domain-collaboration-1904.13179</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-open-set-domain-adaptation-by-dual-domain-collaboration-1904.13179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-open-set-domain-adaptation-by-dual-domain-collaboration-1904.13179"/></url>
<url><loc>https://scifaro.com/en/abs/test-selection-for-deep-learning-systems-1904.13195</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/test-selection-for-deep-learning-systems-1904.13195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/test-selection-for-deep-learning-systems-1904.13195"/></url>
<url><loc>https://scifaro.com/en/abs/investigation-of-initialization-strategies-for-the-multiple-instance-adaptive-cosine-estimator-1904.13197</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigation-of-initialization-strategies-for-the-multiple-instance-adaptive-cosine-estimator-1904.13197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigation-of-initialization-strategies-for-the-multiple-instance-adaptive-cosine-estimator-1904.13197"/></url>
<url><loc>https://scifaro.com/en/abs/property-inference-for-deep-neural-networks-1904.13215</loc><lastmod>2020-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/property-inference-for-deep-neural-networks-1904.13215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/property-inference-for-deep-neural-networks-1904.13215"/></url>
<url><loc>https://scifaro.com/en/abs/eigen-values-features-for-the-classification-of-brain-signals-corresponding-to-2d-and-3d-educational-contents-1904.13221</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigen-values-features-for-the-classification-of-brain-signals-corresponding-to-2d-and-3d-educational-contents-1904.13221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigen-values-features-for-the-classification-of-brain-signals-corresponding-to-2d-and-3d-educational-contents-1904.13221"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-representation-learning-with-minimax-distance-measures-1904.13223</loc><lastmod>2023-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-representation-learning-with-minimax-distance-measures-1904.13223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-representation-learning-with-minimax-distance-measures-1904.13223"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-intelligent-system-for-the-classification-of-electroencephalography-eeg-brain-signals-using-nuclear-features-for-human-cognitive-tasks-1904.13228</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-intelligent-system-for-the-classification-of-electroencephalography-eeg-brain-signals-using-nuclear-features-for-human-cognitive-tasks-1904.13228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-intelligent-system-for-the-classification-of-electroencephalography-eeg-brain-signals-using-nuclear-features-for-human-cognitive-tasks-1904.13228"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-emotion-recognition-aer-system-based-on-two-level-ensemble-of-lightweight-deep-cnn-models-1904.13234</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-emotion-recognition-aer-system-based-on-two-level-ensemble-of-lightweight-deep-cnn-models-1904.13234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-emotion-recognition-aer-system-based-on-two-level-ensemble-of-lightweight-deep-cnn-models-1904.13234"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-spatio-temporal-clustering-based-non-local-formulation-for-multiscale-modeling-of-compartmentalized-reservoirs-1904.13236</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-spatio-temporal-clustering-based-non-local-formulation-for-multiscale-modeling-of-compartmentalized-reservoirs-1904.13236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-spatio-temporal-clustering-based-non-local-formulation-for-multiscale-modeling-of-compartmentalized-reservoirs-1904.13236"/></url>
<url><loc>https://scifaro.com/en/abs/fourier-transform-approach-to-machine-learning-ii-fourier-clustering-1904.13241</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fourier-transform-approach-to-machine-learning-ii-fourier-clustering-1904.13241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fourier-transform-approach-to-machine-learning-ii-fourier-clustering-1904.13241"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-imagination-for-sample-efficient-deep-reinforcement-learning-1904.13255</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-imagination-for-sample-efficient-deep-reinforcement-learning-1904.13255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-imagination-for-sample-efficient-deep-reinforcement-learning-1904.13255"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-regularization-of-discrete-gradient-dynamics-in-linear-neural-networks-1904.13262</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-regularization-of-discrete-gradient-dynamics-in-linear-neural-networks-1904.13262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-regularization-of-discrete-gradient-dynamics-in-linear-neural-networks-1904.13262"/></url>
<url><loc>https://scifaro.com/en/abs/a-supervised-learning-based-strategy-for-optimal-demand-response-of-an-hvac-system-1904.13304</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-supervised-learning-based-strategy-for-optimal-demand-response-of-an-hvac-system-1904.13304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-supervised-learning-based-strategy-for-optimal-demand-response-of-an-hvac-system-1904.13304"/></url>
<url><loc>https://scifaro.com/en/abs/model-comparison-for-semantic-grouping-1904.13323</loc><lastmod>2019-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-comparison-for-semantic-grouping-1904.13323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-comparison-for-semantic-grouping-1904.13323"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-balancing-based-representation-learning-for-causal-effect-inference-with-observational-data-1904.13335</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-balancing-based-representation-learning-for-causal-effect-inference-with-observational-data-1904.13335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-balancing-based-representation-learning-for-causal-effect-inference-with-observational-data-1904.13335"/></url>
<url><loc>https://scifaro.com/en/abs/learning-fair-representations-via-an-adversarial-framework-1904.13341</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-fair-representations-via-an-adversarial-framework-1904.13341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-fair-representations-via-an-adversarial-framework-1904.13341"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-classification-of-urban-micro-events-1904.13349</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-classification-of-urban-micro-events-1904.13349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-classification-of-urban-micro-events-1904.13349"/></url>
<url><loc>https://scifaro.com/en/abs/factor-analysis-in-fault-diagnostics-using-random-forest-1904.13366</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factor-analysis-in-fault-diagnostics-using-random-forest-1904.13366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factor-analysis-in-fault-diagnostics-using-random-forest-1904.13366"/></url>
<url><loc>https://scifaro.com/en/abs/risk-averse-explore-then-commit-algorithms-for-finite-time-bandits-1904.13387</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-averse-explore-then-commit-algorithms-for-finite-time-bandits-1904.13387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-averse-explore-then-commit-algorithms-for-finite-time-bandits-1904.13387"/></url>
<url><loc>https://scifaro.com/en/abs/categorical-feature-compression-via-submodular-optimization-1904.13389</loc><lastmod>2019-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/categorical-feature-compression-via-submodular-optimization-1904.13389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/categorical-feature-compression-via-submodular-optimization-1904.13389"/></url>
<url><loc>https://scifaro.com/en/abs/mixhop-higher-order-graph-convolutional-architectures-via-sparsified-neighborhood-mixing-1905.00067</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixhop-higher-order-graph-convolutional-architectures-via-sparsified-neighborhood-mixing-1905.00067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixhop-higher-order-graph-convolutional-architectures-via-sparsified-neighborhood-mixing-1905.00067"/></url>
<url><loc>https://scifaro.com/en/abs/adanet-a-scalable-and-flexible-framework-for-automatically-learning-ensembles-1905.00080</loc><lastmod>2019-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adanet-a-scalable-and-flexible-framework-for-automatically-learning-ensembles-1905.00080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adanet-a-scalable-and-flexible-framework-for-automatically-learning-ensembles-1905.00080"/></url>
<url><loc>https://scifaro.com/en/abs/forget-the-learning-rate-decay-loss-1905.00094</loc><lastmod>2019-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forget-the-learning-rate-decay-loss-1905.00094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forget-the-learning-rate-decay-loss-1905.00094"/></url>
<url><loc>https://scifaro.com/en/abs/multi-resolution-networks-for-flexible-irregular-time-series-modeling-multi-fit-1905.00125</loc><lastmod>2019-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-resolution-networks-for-flexible-irregular-time-series-modeling-multi-fit-1905.00125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-resolution-networks-for-flexible-irregular-time-series-modeling-multi-fit-1905.00125"/></url>
<url><loc>https://scifaro.com/en/abs/resnet-can-be-pruned-60x-introducing-network-purification-and-unused-path-removal-p-rm-after-weight-pruning-1905.00136</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resnet-can-be-pruned-60x-introducing-network-purification-and-unused-path-removal-p-rm-after-weight-pruning-1905.00136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resnet-can-be-pruned-60x-introducing-network-purification-and-unused-path-removal-p-rm-after-weight-pruning-1905.00136"/></url>
<url><loc>https://scifaro.com/en/abs/fair-classification-and-social-welfare-1905.00147</loc><lastmod>2019-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-classification-and-social-welfare-1905.00147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-classification-and-social-welfare-1905.00147"/></url>
<url><loc>https://scifaro.com/en/abs/on-scalable-and-efficient-computation-of-large-scale-optimal-transport-1905.00158</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-scalable-and-efficient-computation-of-large-scale-optimal-transport-1905.00158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-scalable-and-efficient-computation-of-large-scale-optimal-transport-1905.00158"/></url>
<url><loc>https://scifaro.com/en/abs/towards-sampling-from-nondirected-probabilistic-graphical-models-using-a-d-wave-quantum-annealer-1905.00159</loc><lastmod>2019-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-sampling-from-nondirected-probabilistic-graphical-models-using-a-d-wave-quantum-annealer-1905.00159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-sampling-from-nondirected-probabilistic-graphical-models-using-a-d-wave-quantum-annealer-1905.00159"/></url>
<url><loc>https://scifaro.com/en/abs/dropping-pixels-for-adversarial-robustness-1905.00180</loc><lastmod>2019-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropping-pixels-for-adversarial-robustness-1905.00180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropping-pixels-for-adversarial-robustness-1905.00180"/></url>
<url><loc>https://scifaro.com/en/abs/surface-type-classification-for-autonomous-robot-indoor-navigation-1905.00252</loc><lastmod>2019-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surface-type-classification-for-autonomous-robot-indoor-navigation-1905.00252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surface-type-classification-for-autonomous-robot-indoor-navigation-1905.00252"/></url>
<url><loc>https://scifaro.com/en/abs/introducing-graph-smoothness-loss-for-training-deep-learning-architectures-1905.00301</loc><lastmod>2019-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introducing-graph-smoothness-loss-for-training-deep-learning-architectures-1905.00301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introducing-graph-smoothness-loss-for-training-deep-learning-architectures-1905.00301"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-multiclass-classification-by-mdl-based-rule-lists-1905.00328</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-multiclass-classification-by-mdl-based-rule-lists-1905.00328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-multiclass-classification-by-mdl-based-rule-lists-1905.00328"/></url>
<url><loc>https://scifaro.com/en/abs/high-performance-support-vector-machines-and-its-applications-1905.00331</loc><lastmod>2019-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-performance-support-vector-machines-and-its-applications-1905.00331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-performance-support-vector-machines-and-its-applications-1905.00331"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-considerations-in-batch-reinforcement-learning-1905.00360</loc><lastmod>2019-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-considerations-in-batch-reinforcement-learning-1905.00360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-considerations-in-batch-reinforcement-learning-1905.00360"/></url>
<url><loc>https://scifaro.com/en/abs/fast-autoaugment-1905.00397</loc><lastmod>2020-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-autoaugment-1905.00397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-autoaugment-1905.00397"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-origin-destination-matrix-prediction-with-line-graph-neural-networks-and-kalman-filter-1905.00406</loc><lastmod>2025-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-origin-destination-matrix-prediction-with-line-graph-neural-networks-and-kalman-filter-1905.00406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-origin-destination-matrix-prediction-with-line-graph-neural-networks-and-kalman-filter-1905.00406"/></url>
<url><loc>https://scifaro.com/en/abs/similarity-of-neural-network-representations-revisited-1905.00414</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/similarity-of-neural-network-representations-revisited-1905.00414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/similarity-of-neural-network-representations-revisited-1905.00414"/></url>
<url><loc>https://scifaro.com/en/abs/radix-net-structured-sparse-matrices-for-deep-neural-networks-1905.00416</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/radix-net-structured-sparse-matrices-for-deep-neural-networks-1905.00416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/radix-net-structured-sparse-matrices-for-deep-neural-networks-1905.00416"/></url>
<url><loc>https://scifaro.com/en/abs/restricted-connection-orthogonal-matching-pursuit-for-sparse-subspace-clustering-1905.00420</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/restricted-connection-orthogonal-matching-pursuit-for-sparse-subspace-clustering-1905.00420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/restricted-connection-orthogonal-matching-pursuit-for-sparse-subspace-clustering-1905.00420"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-trend-symbolic-aggregate-approximation-for-time-series-1905.00421</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-trend-symbolic-aggregate-approximation-for-time-series-1905.00421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-trend-symbolic-aggregate-approximation-for-time-series-1905.00421"/></url>
<url><loc>https://scifaro.com/en/abs/an-admm-based-framework-for-automl-pipeline-configuration-1905.00424</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-admm-based-framework-for-automl-pipeline-configuration-1905.00424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-admm-based-framework-for-automl-pipeline-configuration-1905.00424"/></url>
<url><loc>https://scifaro.com/en/abs/nattack-learning-the-distributions-of-adversarial-examples-for-an-improved-black-box-attack-on-deep-neural-networks-1905.00441</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nattack-learning-the-distributions-of-adversarial-examples-for-an-improved-black-box-attack-on-deep-neural-networks-1905.00441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nattack-learning-the-distributions-of-adversarial-examples-for-an-improved-black-box-attack-on-deep-neural-networks-1905.00441"/></url>
<url><loc>https://scifaro.com/en/abs/on-expected-accuracy-1905.00448</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-expected-accuracy-1905.00448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-expected-accuracy-1905.00448"/></url>
<url><loc>https://scifaro.com/en/abs/full-stack-optimization-for-accelerating-cnns-with-fpga-validation-1905.00462</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/full-stack-optimization-for-accelerating-cnns-with-fpga-validation-1905.00462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/full-stack-optimization-for-accelerating-cnns-with-fpga-validation-1905.00462"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-model-free-reinforcement-learning-in-metric-spaces-1905.00475</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-model-free-reinforcement-learning-in-metric-spaces-1905.00475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-model-free-reinforcement-learning-in-metric-spaces-1905.00475"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-deep-learning-formalism-for-processing-graph-signals-1905.00496</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-deep-learning-formalism-for-processing-graph-signals-1905.00496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-deep-learning-formalism-for-processing-graph-signals-1905.00496"/></url>
<url><loc>https://scifaro.com/en/abs/stabilized-svrg-simple-variance-reduction-for-nonconvex-optimization-1905.00529</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilized-svrg-simple-variance-reduction-for-nonconvex-optimization-1905.00529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilized-svrg-simple-variance-reduction-for-nonconvex-optimization-1905.00529"/></url>
<url><loc>https://scifaro.com/en/abs/recombinator-k-means-an-evolutionary-algorithm-that-exploits-k-means-for-recombination-1905.00531</loc><lastmod>2022-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recombinator-k-means-an-evolutionary-algorithm-that-exploits-k-means-for-recombination-1905.00531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recombinator-k-means-an-evolutionary-algorithm-that-exploits-k-means-for-recombination-1905.00531"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-robustness-and-interpretability-of-link-prediction-via-adversarial-modifications-1905.00563</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-robustness-and-interpretability-of-link-prediction-via-adversarial-modifications-1905.00563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-robustness-and-interpretability-of-link-prediction-via-adversarial-modifications-1905.00563"/></url>
<url><loc>https://scifaro.com/en/abs/weight-map-layer-for-noise-and-adversarial-attack-robustness-1905.00568</loc><lastmod>2020-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weight-map-layer-for-noise-and-adversarial-attack-robustness-1905.00568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weight-map-layer-for-noise-and-adversarial-attack-robustness-1905.00568"/></url>
<url><loc>https://scifaro.com/en/abs/group-retention-when-using-machine-learning-in-sequential-decision-making-the-interplay-between-user-dynamics-and-fairness-1905.00569</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-retention-when-using-machine-learning-in-sequential-decision-making-the-interplay-between-user-dynamics-and-fairness-1905.00569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-retention-when-using-machine-learning-in-sequential-decision-making-the-interplay-between-user-dynamics-and-fairness-1905.00569"/></url>
<url><loc>https://scifaro.com/en/abs/26ms-inference-time-for-resnet-50-towards-real-time-execution-of-all-dnns-on-smartphone-1905.00571</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/26ms-inference-time-for-resnet-50-towards-real-time-execution-of-all-dnns-on-smartphone-1905.00571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/26ms-inference-time-for-resnet-50-towards-real-time-execution-of-all-dnns-on-smartphone-1905.00571"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-kullback-leibler-divergence-using-kernel-machines-1905.00586</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-kullback-leibler-divergence-using-kernel-machines-1905.00586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-kullback-leibler-divergence-using-kernel-machines-1905.00586"/></url>
<url><loc>https://scifaro.com/en/abs/human-activity-recognition-using-lstm-rnn-deep-neural-network-architecture-1905.00599</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-activity-recognition-using-lstm-rnn-deep-neural-network-architecture-1905.00599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-activity-recognition-using-lstm-rnn-deep-neural-network-architecture-1905.00599"/></url>
<url><loc>https://scifaro.com/en/abs/synthetic-oversampling-of-multi-label-data-based-on-local-label-distribution-1905.00609</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthetic-oversampling-of-multi-label-data-based-on-local-label-distribution-1905.00609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthetic-oversampling-of-multi-label-data-based-on-local-label-distribution-1905.00609"/></url>
<url><loc>https://scifaro.com/en/abs/variational-autoencoders-for-sparse-and-overdispersed-discrete-data-1905.00616</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-autoencoders-for-sparse-and-overdispersed-discrete-data-1905.00616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-autoencoders-for-sparse-and-overdispersed-discrete-data-1905.00616"/></url>
<url><loc>https://scifaro.com/en/abs/quality-evaluation-of-gans-using-cross-local-intrinsic-dimensionality-1905.00643</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quality-evaluation-of-gans-using-cross-local-intrinsic-dimensionality-1905.00643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quality-evaluation-of-gans-using-cross-local-intrinsic-dimensionality-1905.00643"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-urban-dynamics-via-context-aware-tensor-factorization-with-neighboring-regularization-1905.00702</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-urban-dynamics-via-context-aware-tensor-factorization-with-neighboring-regularization-1905.00702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-urban-dynamics-via-context-aware-tensor-factorization-with-neighboring-regularization-1905.00702"/></url>
<url><loc>https://scifaro.com/en/abs/from-video-game-to-real-robot-the-transfer-between-action-spaces-1905.00741</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-video-game-to-real-robot-the-transfer-between-action-spaces-1905.00741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-video-game-to-real-robot-the-transfer-between-action-spaces-1905.00741"/></url>
<url><loc>https://scifaro.com/en/abs/full-gradient-representation-for-neural-network-visualization-1905.00780</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/full-gradient-representation-for-neural-network-visualization-1905.00780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/full-gradient-representation-for-neural-network-visualization-1905.00780"/></url>
<url><loc>https://scifaro.com/en/abs/toward-extremely-low-bit-and-lossless-accuracy-in-dnns-with-progressive-admm-1905.00789</loc><lastmod>2019-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-extremely-low-bit-and-lossless-accuracy-in-dnns-with-progressive-admm-1905.00789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-extremely-low-bit-and-lossless-accuracy-in-dnns-with-progressive-admm-1905.00789"/></url>
<url><loc>https://scifaro.com/en/abs/speed-up-and-multi-view-extensions-to-subclass-discriminant-analysis-1905.00794</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speed-up-and-multi-view-extensions-to-subclass-discriminant-analysis-1905.00794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speed-up-and-multi-view-extensions-to-subclass-discriminant-analysis-1905.00794"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-learning-for-large-scale-personalized-domain-classification-1905.00921</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-learning-for-large-scale-personalized-domain-classification-1905.00921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-learning-for-large-scale-personalized-domain-classification-1905.00921"/></url>
<url><loc>https://scifaro.com/en/abs/locale-agnostic-universal-domain-classification-model-in-spoken-language-understanding-1905.00924</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locale-agnostic-universal-domain-classification-model-in-spoken-language-understanding-1905.00924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locale-agnostic-universal-domain-classification-model-in-spoken-language-understanding-1905.00924"/></url>
<url><loc>https://scifaro.com/en/abs/submodular-streaming-in-all-its-glory-tight-approximation-minimum-memory-and-low-adaptive-complexity-1905.00948</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/submodular-streaming-in-all-its-glory-tight-approximation-minimum-memory-and-low-adaptive-complexity-1905.00948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/submodular-streaming-in-all-its-glory-tight-approximation-minimum-memory-and-low-adaptive-complexity-1905.00948"/></url>
<url><loc>https://scifaro.com/en/abs/learning-programmatically-structured-representations-with-perceptor-gradients-1905.00956</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-programmatically-structured-representations-with-perceptor-gradients-1905.00956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-programmatically-structured-representations-with-perceptor-gradients-1905.00956"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-evolutionary-reinforcement-learning-1905.00976</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-evolutionary-reinforcement-learning-1905.00976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-evolutionary-reinforcement-learning-1905.00976"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-wgans-with-adaptive-gradient-balancing-for-sparse-mri-reconstruction-1905.00985</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-wgans-with-adaptive-gradient-balancing-for-sparse-mri-reconstruction-1905.00985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-wgans-with-adaptive-gradient-balancing-for-sparse-mri-reconstruction-1905.00985"/></url>
<url><loc>https://scifaro.com/en/abs/network-representation-learning-consolidation-and-renewed-bearing-1905.00987</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-representation-learning-consolidation-and-renewed-bearing-1905.00987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-representation-learning-consolidation-and-renewed-bearing-1905.00987"/></url>
<url><loc>https://scifaro.com/en/abs/a-fuzzy-inference-system-for-the-identification-1905.00991</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fuzzy-inference-system-for-the-identification-1905.00991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fuzzy-inference-system-for-the-identification-1905.00991"/></url>
<url><loc>https://scifaro.com/en/abs/stability-and-generalization-of-graph-convolutional-neural-networks-1905.01004</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-and-generalization-of-graph-convolutional-neural-networks-1905.01004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-and-generalization-of-graph-convolutional-neural-networks-1905.01004"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-with-voronoi-constraints-1905.01019</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-with-voronoi-constraints-1905.01019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-with-voronoi-constraints-1905.01019"/></url>
<url><loc>https://scifaro.com/en/abs/physicist-s-journeys-through-the-ai-world-a-topical-review-there-is-no-royal-road-to-unsupervised-learning-1905.01023</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physicist-s-journeys-through-the-ai-world-a-topical-review-there-is-no-royal-road-to-unsupervised-learning-1905.01023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physicist-s-journeys-through-the-ai-world-a-topical-review-there-is-no-royal-road-to-unsupervised-learning-1905.01023"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-of-adversarial-robustness-between-perturbation-types-1905.01034</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-of-adversarial-robustness-between-perturbation-types-1905.01034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-of-adversarial-robustness-between-perturbation-types-1905.01034"/></url>
<url><loc>https://scifaro.com/en/abs/locally-differentially-private-naive-bayes-classification-1905.01039</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-differentially-private-naive-bayes-classification-1905.01039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-differentially-private-naive-bayes-classification-1905.01039"/></url>
<url><loc>https://scifaro.com/en/abs/compressibility-loss-for-neural-network-weights-1905.01044</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressibility-loss-for-neural-network-weights-1905.01044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressibility-loss-for-neural-network-weights-1905.01044"/></url>
<url><loc>https://scifaro.com/en/abs/deconstructing-lottery-tickets-zeros-signs-and-the-supermask-1905.01067</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deconstructing-lottery-tickets-zeros-signs-and-the-supermask-1905.01067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deconstructing-lottery-tickets-zeros-signs-and-the-supermask-1905.01067"/></url>
<url><loc>https://scifaro.com/en/abs/deep-residual-reinforcement-learning-1905.01072</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-residual-reinforcement-learning-1905.01072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-residual-reinforcement-learning-1905.01072"/></url>
<url><loc>https://scifaro.com/en/abs/charbot-a-simple-and-effective-method-for-evading-dga-classifiers-1905.01078</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/charbot-a-simple-and-effective-method-for-evading-dga-classifiers-1905.01078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/charbot-a-simple-and-effective-method-for-evading-dga-classifiers-1905.01078"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-aware-principal-component-analysis-1905.01127</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-aware-principal-component-analysis-1905.01127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-aware-principal-component-analysis-1905.01127"/></url>
<url><loc>https://scifaro.com/en/abs/three-stage-subspace-clustering-framework-with-graph-based-transformation-and-optimization-1905.01145</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/three-stage-subspace-clustering-framework-with-graph-based-transformation-and-optimization-1905.01145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/three-stage-subspace-clustering-framework-with-graph-based-transformation-and-optimization-1905.01145"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-modal-space-solving-time-dependent-stochastic-pdes-using-physics-informed-neural-networks-1905.01205</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-modal-space-solving-time-dependent-stochastic-pdes-using-physics-informed-neural-networks-1905.01205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-modal-space-solving-time-dependent-stochastic-pdes-using-physics-informed-neural-networks-1905.01205"/></url>
<url><loc>https://scifaro.com/en/abs/matlab-vs-opencv-a-comparative-study-of-different-machine-learning-algorithms-1905.01213</loc><lastmod>2019-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matlab-vs-opencv-a-comparative-study-of-different-machine-learning-algorithms-1905.01213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matlab-vs-opencv-a-comparative-study-of-different-machine-learning-algorithms-1905.01213"/></url>
<url><loc>https://scifaro.com/en/abs/information-asymmetry-in-kl-regularized-rl-1905.01240</loc><lastmod>2019-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-asymmetry-in-kl-regularized-rl-1905.01240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-asymmetry-in-kl-regularized-rl-1905.01240"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-factors-of-variation-using-few-labels-1905.01258</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-factors-of-variation-using-few-labels-1905.01258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-factors-of-variation-using-few-labels-1905.01258"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-urban-dispersal-events-a-two-stage-framework-through-deep-survival-analysis-on-mobility-data-1905.01281</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-urban-dispersal-events-a-two-stage-framework-through-deep-survival-analysis-on-mobility-data-1905.01281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-urban-dispersal-events-a-two-stage-framework-through-deep-survival-analysis-on-mobility-data-1905.01281"/></url>
<url><loc>https://scifaro.com/en/abs/learning-some-popular-gaussian-graphical-models-without-condition-number-bounds-1905.01282</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-some-popular-gaussian-graphical-models-without-condition-number-bounds-1905.01282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-some-popular-gaussian-graphical-models-without-condition-number-bounds-1905.01282"/></url>
<url><loc>https://scifaro.com/en/abs/convolution-attention-and-structure-embedding-1905.01289</loc><lastmod>2020-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolution-attention-and-structure-embedding-1905.01289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolution-attention-and-structure-embedding-1905.01289"/></url>
<url><loc>https://scifaro.com/en/abs/autonomous-air-traffic-controller-a-deep-multi-agent-reinforcement-learning-approach-1905.01303</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autonomous-air-traffic-controller-a-deep-multi-agent-reinforcement-learning-approach-1905.01303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autonomous-air-traffic-controller-a-deep-multi-agent-reinforcement-learning-approach-1905.01303"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-discrete-supervised-hashing-for-large-scale-cross-modal-retrieval-1905.01304</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-discrete-supervised-hashing-for-large-scale-cross-modal-retrieval-1905.01304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-discrete-supervised-hashing-for-large-scale-cross-modal-retrieval-1905.01304"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learners-learning-dynamics-are-unlike-learners-1905.01320</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learners-learning-dynamics-are-unlike-learners-1905.01320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learners-learning-dynamics-are-unlike-learners-1905.01320"/></url>
<url><loc>https://scifaro.com/en/abs/auditing-imagenet-towards-a-model-driven-framework-for-annotating-demographic-attributes-of-large-scale-image-datasets-1905.01347</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auditing-imagenet-towards-a-model-driven-framework-for-annotating-demographic-attributes-of-large-scale-image-datasets-1905.01347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auditing-imagenet-towards-a-model-driven-framework-for-annotating-demographic-attributes-of-large-scale-image-datasets-1905.01347"/></url>
<url><loc>https://scifaro.com/en/abs/static-activation-function-normalization-1905.01369</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/static-activation-function-normalization-1905.01369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/static-activation-function-normalization-1905.01369"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-graph-convolutional-networks-for-automatic-seizure-detection-1905.01375</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-graph-convolutional-networks-for-automatic-seizure-detection-1905.01375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-graph-convolutional-networks-for-automatic-seizure-detection-1905.01375"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-neural-architecture-search-1905.01392</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-neural-architecture-search-1905.01392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-neural-architecture-search-1905.01392"/></url>
<url><loc>https://scifaro.com/en/abs/sinreq-generalized-sinusoidal-regularization-for-low-bitwidth-deep-quantized-training-1905.01416</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sinreq-generalized-sinusoidal-regularization-for-low-bitwidth-deep-quantized-training-1905.01416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sinreq-generalized-sinusoidal-regularization-for-low-bitwidth-deep-quantized-training-1905.01416"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-remote-stochastic-gradient-method-for-training-neural-networks-1905.01422</loc><lastmod>2020-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-remote-stochastic-gradient-method-for-training-neural-networks-1905.01422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-remote-stochastic-gradient-method-for-training-neural-networks-1905.01422"/></url>
<url><loc>https://scifaro.com/en/abs/edge-labeling-graph-neural-network-for-few-shot-learning-1905.01436</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edge-labeling-graph-neural-network-for-few-shot-learning-1905.01436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edge-labeling-graph-neural-network-for-few-shot-learning-1905.01436"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-aware-graph-construction-a-joint-learning-perspective-1905.01446</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-aware-graph-construction-a-joint-learning-perspective-1905.01446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-aware-graph-construction-a-joint-learning-perspective-1905.01446"/></url>
<url><loc>https://scifaro.com/en/abs/interpretability-with-accurate-small-models-1905.01520</loc><lastmod>2020-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretability-with-accurate-small-models-1905.01520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretability-with-accurate-small-models-1905.01520"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-policy-learning-is-sensitive-to-goal-space-design-1905.01537</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-policy-learning-is-sensitive-to-goal-space-design-1905.01537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-policy-learning-is-sensitive-to-goal-space-design-1905.01537"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-control-in-metric-space-with-optimal-regret-1905.01576</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-control-in-metric-space-with-optimal-regret-1905.01576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-control-in-metric-space-with-optimal-regret-1905.01576"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graph-neural-networks-with-noisy-labels-1905.01591</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graph-neural-networks-with-noisy-labels-1905.01591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graph-neural-networks-with-noisy-labels-1905.01591"/></url>
<url><loc>https://scifaro.com/en/abs/fast-communication-efficient-spectral-clustering-over-distributed-data-1905.01596</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-communication-efficient-spectral-clustering-over-distributed-data-1905.01596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-communication-efficient-spectral-clustering-over-distributed-data-1905.01596"/></url>
<url><loc>https://scifaro.com/en/abs/maximal-margin-distribution-support-vector-regression-with-coupled-constraints-based-convex-optimization-1905.01620</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximal-margin-distribution-support-vector-regression-with-coupled-constraints-based-convex-optimization-1905.01620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximal-margin-distribution-support-vector-regression-with-coupled-constraints-based-convex-optimization-1905.01620"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-economic-development-using-geolocated-wikipedia-articles-1905.01627</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-economic-development-using-geolocated-wikipedia-articles-1905.01627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-economic-development-using-geolocated-wikipedia-articles-1905.01627"/></url>
<url><loc>https://scifaro.com/en/abs/development-of-a-forecasting-and-warning-system-on-the-ecological-life-cycle-of-sunn-pest-1905.01640</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/development-of-a-forecasting-and-warning-system-on-the-ecological-life-cycle-of-sunn-pest-1905.01640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/development-of-a-forecasting-and-warning-system-on-the-ecological-life-cycle-of-sunn-pest-1905.01640"/></url>
<url><loc>https://scifaro.com/en/abs/the-game-of-tetris-in-machine-learning-1905.01652</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-game-of-tetris-in-machine-learning-1905.01652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-game-of-tetris-in-machine-learning-1905.01652"/></url>
<url><loc>https://scifaro.com/en/abs/deep-discriminative-clustering-analysis-1905.01681</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-discriminative-clustering-analysis-1905.01681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-discriminative-clustering-analysis-1905.01681"/></url>
<url><loc>https://scifaro.com/en/abs/new-item-consumption-prediction-using-deep-learning-1905.01686</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-item-consumption-prediction-using-deep-learning-1905.01686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-item-consumption-prediction-using-deep-learning-1905.01686"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-time-series-classification-using-dilated-convolutional-neural-network-1905.01697</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-time-series-classification-using-dilated-convolutional-neural-network-1905.01697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-time-series-classification-using-dilated-convolutional-neural-network-1905.01697"/></url>
<url><loc>https://scifaro.com/en/abs/a-latent-variational-framework-for-stochastic-optimization-1905.01707</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-latent-variational-framework-for-stochastic-optimization-1905.01707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-latent-variational-framework-for-stochastic-optimization-1905.01707"/></url>
<url><loc>https://scifaro.com/en/abs/free-component-analysis-theory-algorithms-applications-1905.01713</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/free-component-analysis-theory-algorithms-applications-1905.01713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/free-component-analysis-theory-algorithms-applications-1905.01713"/></url>
<url><loc>https://scifaro.com/en/abs/curious-meta-controller-adaptive-alternation-between-model-based-and-model-free-control-in-deep-reinforcement-learning-1905.01718</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curious-meta-controller-adaptive-alternation-between-model-based-and-model-free-control-in-deep-reinforcement-learning-1905.01718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curious-meta-controller-adaptive-alternation-between-model-based-and-model-free-control-in-deep-reinforcement-learning-1905.01718"/></url>
<url><loc>https://scifaro.com/en/abs/better-the-devil-you-know-an-analysis-of-evasion-attacks-using-out-of-distribution-adversarial-examples-1905.01726</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-the-devil-you-know-an-analysis-of-evasion-attacks-using-out-of-distribution-adversarial-examples-1905.01726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-the-devil-you-know-an-analysis-of-evasion-attacks-using-out-of-distribution-adversarial-examples-1905.01726"/></url>
<url><loc>https://scifaro.com/en/abs/p3o-policy-on-policy-off-policy-optimization-1905.01756</loc><lastmod>2019-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/p3o-policy-on-policy-off-policy-optimization-1905.01756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/p3o-policy-on-policy-off-policy-optimization-1905.01756"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-architecture-search-with-ensemble-gumbel-softmax-1905.01786</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-architecture-search-with-ensemble-gumbel-softmax-1905.01786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-architecture-search-with-ensemble-gumbel-softmax-1905.01786"/></url>
<url><loc>https://scifaro.com/en/abs/missing-data-imputation-with-adversarially-trained-graph-convolutional-networks-1905.01907</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/missing-data-imputation-with-adversarially-trained-graph-convolutional-networks-1905.01907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/missing-data-imputation-with-adversarially-trained-graph-convolutional-networks-1905.01907"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-audio-classification-based-on-class-label-embeddings-1905.01926</loc><lastmod>2019-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-audio-classification-based-on-class-label-embeddings-1905.01926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-audio-classification-based-on-class-label-embeddings-1905.01926"/></url>
<url><loc>https://scifaro.com/en/abs/an-embarrassingly-simple-approach-to-neural-multiple-instance-classification-1905.01947</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-embarrassingly-simple-approach-to-neural-multiple-instance-classification-1905.01947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-embarrassingly-simple-approach-to-neural-multiple-instance-classification-1905.01947"/></url>
<url><loc>https://scifaro.com/en/abs/deep-ordinal-reinforcement-learning-1905.02005</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-ordinal-reinforcement-learning-1905.02005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-ordinal-reinforcement-learning-1905.02005"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-domain-adaptation-using-graph-transduction-games-1905.02036</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-using-graph-transduction-games-1905.02036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-using-graph-transduction-games-1905.02036"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-the-invariances-of-learning-algorithms-using-category-theory-1905.02072</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-the-invariances-of-learning-algorithms-using-category-theory-1905.02072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-the-invariances-of-learning-algorithms-using-category-theory-1905.02072"/></url>
<url><loc>https://scifaro.com/en/abs/batch-normalization-is-a-cause-of-adversarial-vulnerability-1905.02161</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-normalization-is-a-cause-of-adversarial-vulnerability-1905.02161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-normalization-is-a-cause-of-adversarial-vulnerability-1905.02161"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-automated-machine-learning-in-maana-tm-knowledge-platform-1905.02168</loc><lastmod>2019-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-automated-machine-learning-in-maana-tm-knowledge-platform-1905.02168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-automated-machine-learning-in-maana-tm-knowledge-platform-1905.02168"/></url>
<url><loc>https://scifaro.com/en/abs/back-to-the-future-predicting-traffic-shockwave-formation-and-propagation-using-a-convolutional-encoder-decoder-network-1905.02197</loc><lastmod>2019-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/back-to-the-future-predicting-traffic-shockwave-formation-and-propagation-using-a-convolutional-encoder-decoder-network-1905.02197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/back-to-the-future-predicting-traffic-shockwave-formation-and-propagation-using-a-convolutional-encoder-decoder-network-1905.02197"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-approximation-and-deep-relu-networks-1905.02199</loc><lastmod>2019-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-approximation-and-deep-relu-networks-1905.02199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-approximation-and-deep-relu-networks-1905.02199"/></url>
<url><loc>https://scifaro.com/en/abs/lessons-from-contextual-bandit-learning-in-a-customer-support-bot-1905.02219</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lessons-from-contextual-bandit-learning-in-a-customer-support-bot-1905.02219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lessons-from-contextual-bandit-learning-in-a-customer-support-bot-1905.02219"/></url>
<url><loc>https://scifaro.com/en/abs/mixmatch-a-holistic-approach-to-semi-supervised-learning-1905.02249</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixmatch-a-holistic-approach-to-semi-supervised-learning-1905.02249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixmatch-a-holistic-approach-to-semi-supervised-learning-1905.02249"/></url>
<url><loc>https://scifaro.com/en/abs/learning-algebraic-structures-preliminary-investigations-1905.02263</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-algebraic-structures-preliminary-investigations-1905.02263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-algebraic-structures-preliminary-investigations-1905.02263"/></url>
<url><loc>https://scifaro.com/en/abs/a-joint-model-of-unpaired-data-from-scrna-seq-and-spatial-transcriptomics-for-imputing-missing-gene-expression-measurements-1905.02269</loc><lastmod>2019-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-joint-model-of-unpaired-data-from-scrna-seq-and-spatial-transcriptomics-for-imputing-missing-gene-expression-measurements-1905.02269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-joint-model-of-unpaired-data-from-scrna-seq-and-spatial-transcriptomics-for-imputing-missing-gene-expression-measurements-1905.02269"/></url>
<url><loc>https://scifaro.com/en/abs/learning-causality-synthesis-of-large-scale-causal-networks-from-high-dimensional-time-series-data-1905.02291</loc><lastmod>2019-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-causality-synthesis-of-large-scale-causal-networks-from-high-dimensional-time-series-data-1905.02291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-causality-synthesis-of-large-scale-causal-networks-from-high-dimensional-time-series-data-1905.02291"/></url>
<url><loc>https://scifaro.com/en/abs/are-graph-neural-networks-miscalibrated-1905.02296</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-graph-neural-networks-miscalibrated-1905.02296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-graph-neural-networks-miscalibrated-1905.02296"/></url>
<url><loc>https://scifaro.com/en/abs/crosstrainer-practical-domain-adaptation-with-loss-reweighting-1905.02304</loc><lastmod>2019-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crosstrainer-practical-domain-adaptation-with-loss-reweighting-1905.02304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crosstrainer-practical-domain-adaptation-with-loss-reweighting-1905.02304"/></url>
<url><loc>https://scifaro.com/en/abs/sum-of-squares-polynomial-flow-1905.02325</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sum-of-squares-polynomial-flow-1905.02325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sum-of-squares-polynomial-flow-1905.02325"/></url>
<url><loc>https://scifaro.com/en/abs/taming-pretrained-transformers-for-extreme-multi-label-text-classification-1905.02331</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taming-pretrained-transformers-for-extreme-multi-label-text-classification-1905.02331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taming-pretrained-transformers-for-extreme-multi-label-text-classification-1905.02331"/></url>
<url><loc>https://scifaro.com/en/abs/neural-architecture-refinement-a-practical-way-for-avoiding-overfitting-in-nas-1905.02341</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-architecture-refinement-a-practical-way-for-avoiding-overfitting-in-nas-1905.02341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-architecture-refinement-a-practical-way-for-avoiding-overfitting-in-nas-1905.02341"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-cryptanalysis-of-a-quantum-random-number-generator-1905.02342</loc><lastmod>2025-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-cryptanalysis-of-a-quantum-random-number-generator-1905.02342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-cryptanalysis-of-a-quantum-random-number-generator-1905.02342"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-variational-embedding-for-robust-semi-supervised-learning-1905.02361</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-variational-embedding-for-robust-semi-supervised-learning-1905.02361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-variational-embedding-for-robust-semi-supervised-learning-1905.02361"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-wise-importance-sampling-weight-clipping-for-sample-efficient-reinforcement-learning-1905.02363</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-wise-importance-sampling-weight-clipping-for-sample-efficient-reinforcement-learning-1905.02363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-wise-importance-sampling-weight-clipping-for-sample-efficient-reinforcement-learning-1905.02363"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-differential-privacy-1905.02383</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-differential-privacy-1905.02383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-differential-privacy-1905.02383"/></url>
<url><loc>https://scifaro.com/en/abs/fcc-gan-a-fully-connected-and-convolutional-net-architecture-for-gans-1905.02417</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fcc-gan-a-fully-connected-and-convolutional-net-architecture-for-gans-1905.02417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fcc-gan-a-fully-connected-and-convolutional-net-architecture-for-gans-1905.02417"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-arithmetic-for-deep-neural-networks-1905.02438</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-arithmetic-for-deep-neural-networks-1905.02438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-arithmetic-for-deep-neural-networks-1905.02438"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-generation-of-unrestricted-adversarial-inputs-1905.02463</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-generation-of-unrestricted-adversarial-inputs-1905.02463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-generation-of-unrestricted-adversarial-inputs-1905.02463"/></url>
<url><loc>https://scifaro.com/en/abs/reinforced-genetic-algorithm-learning-for-optimizing-computation-graphs-1905.02494</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforced-genetic-algorithm-learning-for-optimizing-computation-graphs-1905.02494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforced-genetic-algorithm-learning-for-optimizing-computation-graphs-1905.02494"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-to-predict-student-outcomes-1905.02530</loc><lastmod>2019-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-to-predict-student-outcomes-1905.02530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-to-predict-student-outcomes-1905.02530"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-outcome-prediction-with-sparse-bayesian-neural-networks-in-intensive-care-1905.02599</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-outcome-prediction-with-sparse-bayesian-neural-networks-in-intensive-care-1905.02599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-outcome-prediction-with-sparse-bayesian-neural-networks-in-intensive-care-1905.02599"/></url>
<url><loc>https://scifaro.com/en/abs/learning-optimal-data-augmentation-policies-via-bayesian-optimization-for-image-classification-tasks-1905.02610</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-optimal-data-augmentation-policies-via-bayesian-optimization-for-image-classification-tasks-1905.02610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-optimal-data-augmentation-policies-via-bayesian-optimization-for-image-classification-tasks-1905.02610"/></url>
<url><loc>https://scifaro.com/en/abs/an-integrated-multi-time-scale-modeling-for-solar-irradiance-forecasting-using-deep-learning-1905.02616</loc><lastmod>2023-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-integrated-multi-time-scale-modeling-for-solar-irradiance-forecasting-using-deep-learning-1905.02616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-integrated-multi-time-scale-modeling-for-solar-irradiance-forecasting-using-deep-learning-1905.02616"/></url>
<url><loc>https://scifaro.com/en/abs/object-exchangeability-in-reinforcement-learning-extended-abstract-1905.02698</loc><lastmod>2019-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/object-exchangeability-in-reinforcement-learning-extended-abstract-1905.02698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/object-exchangeability-in-reinforcement-learning-extended-abstract-1905.02698"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-aware-data-aggregation-for-deep-imitation-learning-1905.02780</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-aware-data-aggregation-for-deep-imitation-learning-1905.02780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-aware-data-aggregation-for-deep-imitation-learning-1905.02780"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-and-privacy-preserving-machine-teaching-via-consensus-optimization-1905.02796</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-and-privacy-preserving-machine-teaching-via-consensus-optimization-1905.02796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-and-privacy-preserving-machine-teaching-via-consensus-optimization-1905.02796"/></url>
<url><loc>https://scifaro.com/en/abs/toybox-a-suite-of-environments-for-experimental-evaluation-of-deep-reinforcement-learning-1905.02825</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toybox-a-suite-of-environments-for-experimental-evaluation-of-deep-reinforcement-learning-1905.02825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toybox-a-suite-of-environments-for-experimental-evaluation-of-deep-reinforcement-learning-1905.02825"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-target-updates-for-q-learning-1905.02841</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-target-updates-for-q-learning-1905.02841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-target-updates-for-q-learning-1905.02841"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-and-feature-extraction-in-pattern-analysis-a-literature-review-1905.02845</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-and-feature-extraction-in-pattern-analysis-a-literature-review-1905.02845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-and-feature-extraction-in-pattern-analysis-a-literature-review-1905.02845"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-attention-and-generalization-in-graph-neural-networks-1905.02850</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-attention-and-generalization-in-graph-neural-networks-1905.02850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-attention-and-generalization-in-graph-neural-networks-1905.02850"/></url>
<url><loc>https://scifaro.com/en/abs/robust-federated-training-via-collaborative-machine-teaching-using-trusted-instances-1905.02941</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-federated-training-via-collaborative-machine-teaching-using-trusted-instances-1905.02941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-federated-training-via-collaborative-machine-teaching-using-trusted-instances-1905.02941"/></url>
<url><loc>https://scifaro.com/en/abs/sadam-a-variant-of-adam-for-strongly-convex-functions-1905.02957</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sadam-a-variant-of-adam-for-strongly-convex-functions-1905.02957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sadam-a-variant-of-adam-for-strongly-convex-functions-1905.02957"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-dilation-neural-networks-1905.02961</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-dilation-neural-networks-1905.02961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-dilation-neural-networks-1905.02961"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-of-sequential-strategies-1905.03030</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-of-sequential-strategies-1905.03030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-of-sequential-strategies-1905.03030"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-image-feature-learning-for-disease-classification-using-inductive-graph-networks-1905.03036</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-image-feature-learning-for-disease-classification-using-inductive-graph-networks-1905.03036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-image-feature-learning-for-disease-classification-using-inductive-graph-networks-1905.03036"/></url>
<url><loc>https://scifaro.com/en/abs/pinet-a-permutation-invariant-graph-neural-network-for-graph-classification-1905.03046</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pinet-a-permutation-invariant-graph-neural-network-for-graph-classification-1905.03046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pinet-a-permutation-invariant-graph-neural-network-for-graph-classification-1905.03046"/></url>
<url><loc>https://scifaro.com/en/abs/forest-representation-learning-guided-by-margin-distribution-1905.03052</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forest-representation-learning-guided-by-margin-distribution-1905.03052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forest-representation-learning-guided-by-margin-distribution-1905.03052"/></url>
<url><loc>https://scifaro.com/en/abs/multi-modal-graph-fusion-for-inductive-disease-classification-in-incomplete-datasets-1905.03053</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-modal-graph-fusion-for-inductive-disease-classification-in-incomplete-datasets-1905.03053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-modal-graph-fusion-for-inductive-disease-classification-in-incomplete-datasets-1905.03053"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-through-temporal-smoothing-and-entropy-maximization-1905.03100</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-through-temporal-smoothing-and-entropy-maximization-1905.03100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-through-temporal-smoothing-and-entropy-maximization-1905.03100"/></url>
<url><loc>https://scifaro.com/en/abs/batch-size-independent-regret-bounds-for-the-combinatorial-multi-armed-bandit-problem-1905.03125</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-size-independent-regret-bounds-for-the-combinatorial-multi-armed-bandit-problem-1905.03125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-size-independent-regret-bounds-for-the-combinatorial-multi-armed-bandit-problem-1905.03125"/></url>
<url><loc>https://scifaro.com/en/abs/does-data-augmentation-lead-to-positive-margin-1905.03177</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-data-augmentation-lead-to-positive-margin-1905.03177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-data-augmentation-lead-to-positive-margin-1905.03177"/></url>
<url><loc>https://scifaro.com/en/abs/metapred-meta-learning-for-clinical-risk-prediction-with-limited-patient-electronic-health-records-1905.03218</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metapred-meta-learning-for-clinical-risk-prediction-with-limited-patient-electronic-health-records-1905.03218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metapred-meta-learning-for-clinical-risk-prediction-with-limited-patient-electronic-health-records-1905.03218"/></url>
<url><loc>https://scifaro.com/en/abs/smoothing-policies-and-safe-policy-gradients-1905.03231</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothing-policies-and-safe-policy-gradients-1905.03231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothing-policies-and-safe-policy-gradients-1905.03231"/></url>
<url><loc>https://scifaro.com/en/abs/generative-model-with-dynamic-linear-flow-1905.03239</loc><lastmod>2019-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-model-with-dynamic-linear-flow-1905.03239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-model-with-dynamic-linear-flow-1905.03239"/></url>
<url><loc>https://scifaro.com/en/abs/reconstruction-of-privacy-sensitive-data-from-protected-templates-1905.03282</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconstruction-of-privacy-sensitive-data-from-protected-templates-1905.03282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconstruction-of-privacy-sensitive-data-from-protected-templates-1905.03282"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-subgroup-discovery-in-treatment-effect-estimation-with-application-to-opioid-prescribing-guidelines-1905.03297</loc><lastmod>2020-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-subgroup-discovery-in-treatment-effect-estimation-with-application-to-opioid-prescribing-guidelines-1905.03297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-subgroup-discovery-in-treatment-effect-estimation-with-application-to-opioid-prescribing-guidelines-1905.03297"/></url>
<url><loc>https://scifaro.com/en/abs/perceptnet-learning-perceptual-similarity-of-haptic-textures-in-presence-of-unorderable-triplets-1905.03302</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perceptnet-learning-perceptual-similarity-of-haptic-textures-in-presence-of-unorderable-triplets-1905.03302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perceptnet-learning-perceptual-similarity-of-haptic-textures-in-presence-of-unorderable-triplets-1905.03302"/></url>
<url><loc>https://scifaro.com/en/abs/data-efficient-mutual-information-neural-estimator-1905.03319</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-efficient-mutual-information-neural-estimator-1905.03319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-efficient-mutual-information-neural-estimator-1905.03319"/></url>
<url><loc>https://scifaro.com/en/abs/learning-embeddings-into-entropic-wasserstein-spaces-1905.03329</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-embeddings-into-entropic-wasserstein-spaces-1905.03329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-embeddings-into-entropic-wasserstein-spaces-1905.03329"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-cross-task-transferability-of-adversarial-examples-with-dispersion-reduction-1905.03333</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-cross-task-transferability-of-adversarial-examples-with-dispersion-reduction-1905.03333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-cross-task-transferability-of-adversarial-examples-with-dispersion-reduction-1905.03333"/></url>
<url><loc>https://scifaro.com/en/abs/regression-from-dependent-observations-1905.03353</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-from-dependent-observations-1905.03353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-from-dependent-observations-1905.03353"/></url>
<url><loc>https://scifaro.com/en/abs/autoassist-a-framework-to-accelerate-training-of-deep-neural-networks-1905.03381</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoassist-a-framework-to-accelerate-training-of-deep-neural-networks-1905.03381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoassist-a-framework-to-accelerate-training-of-deep-neural-networks-1905.03381"/></url>
<url><loc>https://scifaro.com/en/abs/multi-fidelity-classification-using-gaussian-processes-accelerating-the-prediction-of-large-scale-computational-models-1905.03406</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-fidelity-classification-using-gaussian-processes-accelerating-the-prediction-of-large-scale-computational-models-1905.03406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-fidelity-classification-using-gaussian-processes-accelerating-the-prediction-of-large-scale-computational-models-1905.03406"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-approach-for-analyzing-the-composition-of-chemometric-data-1905.03420</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-approach-for-analyzing-the-composition-of-chemometric-data-1905.03420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-approach-for-analyzing-the-composition-of-chemometric-data-1905.03420"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-image-translation-unrestricted-adversarial-examples-in-face-recognition-systems-1905.03421</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-image-translation-unrestricted-adversarial-examples-in-face-recognition-systems-1905.03421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-image-translation-unrestricted-adversarial-examples-in-face-recognition-systems-1905.03421"/></url>
<url><loc>https://scifaro.com/en/abs/map-inference-via-l2-sphere-linear-program-reformulation-1905.03433</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/map-inference-via-l2-sphere-linear-program-reformulation-1905.03433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/map-inference-via-l2-sphere-linear-program-reformulation-1905.03433"/></url>
<url><loc>https://scifaro.com/en/abs/limits-of-deepfake-detection-a-robust-estimation-viewpoint-1905.03493</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limits-of-deepfake-detection-a-robust-estimation-viewpoint-1905.03493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limits-of-deepfake-detection-a-robust-estimation-viewpoint-1905.03493"/></url>
<url><loc>https://scifaro.com/en/abs/pretrain-soft-q-learning-with-imperfect-demonstrations-1905.03501</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pretrain-soft-q-learning-with-imperfect-demonstrations-1905.03501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pretrain-soft-q-learning-with-imperfect-demonstrations-1905.03501"/></url>
<url><loc>https://scifaro.com/en/abs/unified-adversarial-invariance-1905.03629</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-adversarial-invariance-1905.03629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-adversarial-invariance-1905.03629"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-iterative-hard-thresholding-for-graph-structured-sparsity-optimization-1905.03652</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-iterative-hard-thresholding-for-graph-structured-sparsity-optimization-1905.03652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-iterative-hard-thresholding-for-graph-structured-sparsity-optimization-1905.03652"/></url>
<url><loc>https://scifaro.com/en/abs/improving-discrete-latent-representations-with-differentiable-approximation-bridges-1905.03658</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-discrete-latent-representations-with-differentiable-approximation-bridges-1905.03658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-discrete-latent-representations-with-differentiable-approximation-bridges-1905.03658"/></url>
<url><loc>https://scifaro.com/en/abs/proportionally-fair-clustering-1905.03674</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proportionally-fair-clustering-1905.03674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proportionally-fair-clustering-1905.03674"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-defense-framework-for-graph-neural-network-1905.03679</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-defense-framework-for-graph-neural-network-1905.03679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-defense-framework-for-graph-neural-network-1905.03679"/></url>
<url><loc>https://scifaro.com/en/abs/data-dependent-sample-complexity-of-deep-neural-networks-via-lipschitz-augmentation-1905.03684</loc><lastmod>2020-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-dependent-sample-complexity-of-deep-neural-networks-via-lipschitz-augmentation-1905.03684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-dependent-sample-complexity-of-deep-neural-networks-via-lipschitz-augmentation-1905.03684"/></url>
<url><loc>https://scifaro.com/en/abs/the-effect-of-network-width-on-stochastic-gradient-descent-and-generalization-an-empirical-study-1905.03776</loc><lastmod>2019-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effect-of-network-width-on-stochastic-gradient-descent-and-generalization-an-empirical-study-1905.03776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effect-of-network-width-on-stochastic-gradient-descent-and-generalization-an-empirical-study-1905.03776"/></url>
<url><loc>https://scifaro.com/en/abs/wearable-sensor-data-based-human-activity-recognition-using-machine-learning-a-new-approach-1905.03809</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wearable-sensor-data-based-human-activity-recognition-using-machine-learning-a-new-approach-1905.03809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wearable-sensor-data-based-human-activity-recognition-using-machine-learning-a-new-approach-1905.03809"/></url>
<url><loc>https://scifaro.com/en/abs/non-asymptotic-gap-dependent-regret-bounds-for-tabular-mdps-1905.03814</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-asymptotic-gap-dependent-regret-bounds-for-tabular-mdps-1905.03814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-asymptotic-gap-dependent-regret-bounds-for-tabular-mdps-1905.03814"/></url>
<url><loc>https://scifaro.com/en/abs/beta-survival-models-1905.03818</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beta-survival-models-1905.03818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beta-survival-models-1905.03818"/></url>
<url><loc>https://scifaro.com/en/abs/random-function-priors-for-correlation-modeling-1905.03826</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-function-priors-for-correlation-modeling-1905.03826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-function-priors-for-correlation-modeling-1905.03826"/></url>
<url><loc>https://scifaro.com/en/abs/universal-adversarial-perturbations-for-speech-recognition-systems-1905.03828</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-adversarial-perturbations-for-speech-recognition-systems-1905.03828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-adversarial-perturbations-for-speech-recognition-systems-1905.03828"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-hyperparameter-landscape-of-adversarial-robustness-1905.03837</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-hyperparameter-landscape-of-adversarial-robustness-1905.03837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-hyperparameter-landscape-of-adversarial-robustness-1905.03837"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-learning-with-adaptive-clipping-1905.03871</loc><lastmod>2022-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-learning-with-adaptive-clipping-1905.03871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-learning-with-adaptive-clipping-1905.03871"/></url>
<url><loc>https://scifaro.com/en/abs/traffic-queue-length-and-pressure-estimation-for-road-networks-with-geometric-deep-learning-algorithms-1905.03889</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/traffic-queue-length-and-pressure-estimation-for-road-networks-with-geometric-deep-learning-algorithms-1905.03889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/traffic-queue-length-and-pressure-estimation-for-road-networks-with-geometric-deep-learning-algorithms-1905.03889"/></url>
<url><loc>https://scifaro.com/en/abs/supporting-analysis-of-dimensionality-reduction-results-with-contrastive-learning-1905.03911</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supporting-analysis-of-dimensionality-reduction-results-with-contrastive-learning-1905.03911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supporting-analysis-of-dimensionality-reduction-results-with-contrastive-learning-1905.03911"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-tensor-similarity-to-enhance-clustering-performance-1905.03920</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-tensor-similarity-to-enhance-clustering-performance-1905.03920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-tensor-similarity-to-enhance-clustering-performance-1905.03920"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-second-order-value-iteration-in-markov-decision-processes-1905.03927</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-second-order-value-iteration-in-markov-decision-processes-1905.03927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-second-order-value-iteration-in-markov-decision-processes-1905.03927"/></url>
<url><loc>https://scifaro.com/en/abs/gan-powered-deep-distributional-reinforcement-learning-for-resource-management-in-network-slicing-1905.03929</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gan-powered-deep-distributional-reinforcement-learning-for-resource-management-in-network-slicing-1905.03929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gan-powered-deep-distributional-reinforcement-learning-for-resource-management-in-network-slicing-1905.03929"/></url>
<url><loc>https://scifaro.com/en/abs/credit-scoring-for-micro-loans-1905.03946</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/credit-scoring-for-micro-loans-1905.03946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/credit-scoring-for-micro-loans-1905.03946"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-in-non-stationary-environments-1905.03970</loc><lastmod>2020-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-in-non-stationary-environments-1905.03970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-in-non-stationary-environments-1905.03970"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimized-continual-learning-with-attention-mechanism-1905.03980</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimized-continual-learning-with-attention-mechanism-1905.03980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimized-continual-learning-with-attention-mechanism-1905.03980"/></url>
<url><loc>https://scifaro.com/en/abs/attention-based-deep-reinforcement-learning-for-multi-view-environments-1905.03985</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-based-deep-reinforcement-learning-for-multi-view-environments-1905.03985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-based-deep-reinforcement-learning-for-multi-view-environments-1905.03985"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-path-failure-in-time-evolving-graphs-1905.03994</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-path-failure-in-time-evolving-graphs-1905.03994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-path-failure-in-time-evolving-graphs-1905.03994"/></url>
<url><loc>https://scifaro.com/en/abs/supervized-segmentation-with-graph-structured-deep-metric-learning-1905.04014</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervized-segmentation-with-graph-structured-deep-metric-learning-1905.04014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervized-segmentation-with-graph-structured-deep-metric-learning-1905.04014"/></url>
<url><loc>https://scifaro.com/en/abs/densifying-assumed-sparse-tensors-improving-memory-efficiency-and-mpi-collective-performance-during-tensor-accumulation-for-parallelized-training-of-neural-machine-translation-models-1905.04035</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/densifying-assumed-sparse-tensors-improving-memory-efficiency-and-mpi-collective-performance-during-tensor-accumulation-for-parallelized-training-of-neural-machine-translation-models-1905.04035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/densifying-assumed-sparse-tensors-improving-memory-efficiency-and-mpi-collective-performance-during-tensor-accumulation-for-parallelized-training-of-neural-machine-translation-models-1905.04035"/></url>
<url><loc>https://scifaro.com/en/abs/prototype-propagation-networks-ppn-for-weakly-supervised-few-shot-learning-on-category-graph-1905.04042</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prototype-propagation-networks-ppn-for-weakly-supervised-few-shot-learning-on-category-graph-1905.04042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prototype-propagation-networks-ppn-for-weakly-supervised-few-shot-learning-on-category-graph-1905.04042"/></url>
<url><loc>https://scifaro.com/en/abs/compressing-weight-updates-for-image-artifacts-removal-neural-networks-1905.04079</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressing-weight-updates-for-image-artifacts-removal-neural-networks-1905.04079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressing-weight-updates-for-image-artifacts-removal-neural-networks-1905.04079"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adversarial-reinforcement-learning-for-partial-domain-adaptation-1905.04094</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adversarial-reinforcement-learning-for-partial-domain-adaptation-1905.04094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adversarial-reinforcement-learning-for-partial-domain-adaptation-1905.04094"/></url>
<url><loc>https://scifaro.com/en/abs/design-of-artificial-intelligence-agents-for-games-using-deep-reinforcement-learning-1905.04127</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/design-of-artificial-intelligence-agents-for-games-using-deep-reinforcement-learning-1905.04127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/design-of-artificial-intelligence-agents-for-games-using-deep-reinforcement-learning-1905.04127"/></url>
<url><loc>https://scifaro.com/en/abs/single-path-nas-device-aware-efficient-convnet-design-1905.04159</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-path-nas-device-aware-efficient-convnet-design-1905.04159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-path-nas-device-aware-efficient-convnet-design-1905.04159"/></url>
<url><loc>https://scifaro.com/en/abs/autonomous-management-of-energy-harvesting-iot-nodes-using-deep-reinforcement-learning-1905.04181</loc><lastmod>2020-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autonomous-management-of-energy-harvesting-iot-nodes-using-deep-reinforcement-learning-1905.04181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autonomous-management-of-energy-harvesting-iot-nodes-using-deep-reinforcement-learning-1905.04181"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-independent-subspace-clusterings-1905.04191</loc><lastmod>2019-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-independent-subspace-clusterings-1905.04191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-independent-subspace-clusterings-1905.04191"/></url>
<url><loc>https://scifaro.com/en/abs/do-autonomous-agents-benefit-from-hearing-1905.04192</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-autonomous-agents-benefit-from-hearing-1905.04192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-autonomous-agents-benefit-from-hearing-1905.04192"/></url>
<url><loc>https://scifaro.com/en/abs/formal-verification-of-input-output-mappings-of-tree-ensembles-1905.04194</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/formal-verification-of-input-output-mappings-of-tree-ensembles-1905.04194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/formal-verification-of-input-output-mappings-of-tree-ensembles-1905.04194"/></url>
<url><loc>https://scifaro.com/en/abs/a-scheme-for-continuous-input-to-the-tsetlin-machine-with-applications-to-forecasting-disease-outbreaks-1905.04199</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scheme-for-continuous-input-to-the-tsetlin-machine-with-applications-to-forecasting-disease-outbreaks-1905.04199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scheme-for-continuous-input-to-the-tsetlin-machine-with-applications-to-forecasting-disease-outbreaks-1905.04199"/></url>
<url><loc>https://scifaro.com/en/abs/the-regression-tsetlin-machine-a-tsetlin-machine-for-continuous-output-problems-1905.04206</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-regression-tsetlin-machine-a-tsetlin-machine-for-continuous-output-problems-1905.04206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-regression-tsetlin-machine-a-tsetlin-machine-for-continuous-output-problems-1905.04206"/></url>
<url><loc>https://scifaro.com/en/abs/assuring-the-machine-learning-lifecycle-desiderata-methods-and-challenges-1905.04223</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assuring-the-machine-learning-lifecycle-desiderata-methods-and-challenges-1905.04223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assuring-the-machine-learning-lifecycle-desiderata-methods-and-challenges-1905.04223"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-predictive-model-when-an-interpretable-model-collaborates-with-a-black-box-model-1905.04241</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-predictive-model-when-an-interpretable-model-collaborates-with-a-black-box-model-1905.04241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-predictive-model-when-an-interpretable-model-collaborates-with-a-black-box-model-1905.04241"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-and-evaluating-neural-network-robustness-1905.04270</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-and-evaluating-neural-network-robustness-1905.04270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-and-evaluating-neural-network-robustness-1905.04270"/></url>
<url><loc>https://scifaro.com/en/abs/mutual-information-scaling-and-expressive-power-of-sequence-models-1905.04271</loc><lastmod>2019-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mutual-information-scaling-and-expressive-power-of-sequence-models-1905.04271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mutual-information-scaling-and-expressive-power-of-sequence-models-1905.04271"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-structured-mdps-with-convex-cost-functions-improved-regret-bounds-for-inventory-management-1905.04337</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-structured-mdps-with-convex-cost-functions-improved-regret-bounds-for-inventory-management-1905.04337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-structured-mdps-with-convex-cost-functions-improved-regret-bounds-for-inventory-management-1905.04337"/></url>
<url><loc>https://scifaro.com/en/abs/solving-irregular-and-data-enriched-differential-equations-using-deep-neural-networks-1905.04351</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-irregular-and-data-enriched-differential-equations-using-deep-neural-networks-1905.04351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-irregular-and-data-enriched-differential-equations-using-deep-neural-networks-1905.04351"/></url>
<url><loc>https://scifaro.com/en/abs/multi-pass-q-networks-for-deep-reinforcement-learning-with-parameterised-action-spaces-1905.04388</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-pass-q-networks-for-deep-reinforcement-learning-with-parameterised-action-spaces-1905.04388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-pass-q-networks-for-deep-reinforcement-learning-with-parameterised-action-spaces-1905.04388"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-learning-with-embedded-class-models-and-shot-free-meta-training-1905.04398</loc><lastmod>2020-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-learning-with-embedded-class-models-and-shot-free-meta-training-1905.04398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-learning-with-embedded-class-models-and-shot-free-meta-training-1905.04398"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-aware-graph-neural-networks-with-label-smoothness-regularization-for-recommender-systems-1905.04413</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-aware-graph-neural-networks-with-label-smoothness-regularization-for-recommender-systems-1905.04413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-aware-graph-neural-networks-with-label-smoothness-regularization-for-recommender-systems-1905.04413"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-based-deep-cross-modal-hashing-1905.04450</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-based-deep-cross-modal-hashing-1905.04450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-based-deep-cross-modal-hashing-1905.04450"/></url>
<url><loc>https://scifaro.com/en/abs/stability-properties-of-graph-neural-networks-1905.04497</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-properties-of-graph-neural-networks-1905.04497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-properties-of-graph-neural-networks-1905.04497"/></url>
<url><loc>https://scifaro.com/en/abs/training-cnns-with-selective-allocation-of-channels-1905.04509</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-cnns-with-selective-allocation-of-channels-1905.04509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-cnns-with-selective-allocation-of-channels-1905.04509"/></url>
<url><loc>https://scifaro.com/en/abs/interpret-federated-learning-with-shapley-values-1905.04519</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpret-federated-learning-with-shapley-values-1905.04519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpret-federated-learning-with-shapley-values-1905.04519"/></url>
<url><loc>https://scifaro.com/en/abs/accuracy-improvement-of-neural-network-training-using-particle-swarm-optimization-and-its-stability-analysis-for-classification-1905.04522</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accuracy-improvement-of-neural-network-training-using-particle-swarm-optimization-and-its-stability-analysis-for-classification-1905.04522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accuracy-improvement-of-neural-network-training-using-particle-swarm-optimization-and-its-stability-analysis-for-classification-1905.04522"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-generative-models-by-leveraging-cascaded-meta-models-1905.04534</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-generative-models-by-leveraging-cascaded-meta-models-1905.04534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-generative-models-by-leveraging-cascaded-meta-models-1905.04534"/></url>
<url><loc>https://scifaro.com/en/abs/forestdsh-a-universal-hash-design-for-discrete-probability-distributions-1905.04559</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forestdsh-a-universal-hash-design-for-discrete-probability-distributions-1905.04559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forestdsh-a-universal-hash-design-for-discrete-probability-distributions-1905.04559"/></url>
<url><loc>https://scifaro.com/en/abs/are-powerful-graph-neural-nets-necessary-a-dissection-on-graph-classification-1905.04579</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-powerful-graph-neural-nets-necessary-a-dissection-on-graph-classification-1905.04579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-powerful-graph-neural-nets-necessary-a-dissection-on-graph-classification-1905.04579"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-ai-for-trees-from-local-explanations-to-global-understanding-1905.04610</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-ai-for-trees-from-local-explanations-to-global-understanding-1905.04610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-ai-for-trees-from-local-explanations-to-global-understanding-1905.04610"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-low-rank-semidefinite-programming-with-robust-loss-functions-1905.04629</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-low-rank-semidefinite-programming-with-robust-loss-functions-1905.04629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-low-rank-semidefinite-programming-with-robust-loss-functions-1905.04629"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-federated-learning-theoretical-limits-and-algorithms-to-achieve-them-1905.04634</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-federated-learning-theoretical-limits-and-algorithms-to-achieve-them-1905.04634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-federated-learning-theoretical-limits-and-algorithms-to-achieve-them-1905.04634"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-convolve-a-generalized-weight-tying-approach-1905.04663</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-convolve-a-generalized-weight-tying-approach-1905.04663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-convolve-a-generalized-weight-tying-approach-1905.04663"/></url>
<url><loc>https://scifaro.com/en/abs/on-graph-classification-networks-datasets-and-baselines-1905.04682</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-graph-classification-networks-datasets-and-baselines-1905.04682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-graph-classification-networks-datasets-and-baselines-1905.04682"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-look-at-an-old-problem-a-universal-learning-approach-to-linear-regression-1905.04708</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-look-at-an-old-problem-a-universal-learning-approach-to-linear-regression-1905.04708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-look-at-an-old-problem-a-universal-learning-approach-to-linear-regression-1905.04708"/></url>
<url><loc>https://scifaro.com/en/abs/castnet-community-attentive-spatio-temporal-networks-for-opioid-overdose-forecasting-1905.04714</loc><lastmod>2020-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/castnet-community-attentive-spatio-temporal-networks-for-opioid-overdose-forecasting-1905.04714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/castnet-community-attentive-spatio-temporal-networks-for-opioid-overdose-forecasting-1905.04714"/></url>
<url><loc>https://scifaro.com/en/abs/diagnosing-reinforcement-learning-for-traffic-signal-control-1905.04716</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diagnosing-reinforcement-learning-for-traffic-signal-control-1905.04716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diagnosing-reinforcement-learning-for-traffic-signal-control-1905.04716"/></url>
<url><loc>https://scifaro.com/en/abs/learning-phase-competition-for-traffic-signal-control-1905.04722</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-phase-competition-for-traffic-signal-control-1905.04722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-phase-competition-for-traffic-signal-control-1905.04722"/></url>
<url><loc>https://scifaro.com/en/abs/flat-metric-minimization-with-applications-in-generative-modeling-1905.04730</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flat-metric-minimization-with-applications-in-generative-modeling-1905.04730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flat-metric-minimization-with-applications-in-generative-modeling-1905.04730"/></url>
<url><loc>https://scifaro.com/en/abs/approximated-oracle-filter-pruning-for-destructive-cnn-width-optimization-1905.04748</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximated-oracle-filter-pruning-for-destructive-cnn-width-optimization-1905.04748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximated-oracle-filter-pruning-for-destructive-cnn-width-optimization-1905.04748"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-in-cardiovascular-flows-modeling-predicting-arterial-blood-pressure-from-non-invasive-4d-flow-mri-data-using-physics-informed-neural-networks-1905.04817</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-in-cardiovascular-flows-modeling-predicting-arterial-blood-pressure-from-non-invasive-4d-flow-mri-data-using-physics-informed-neural-networks-1905.04817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-in-cardiovascular-flows-modeling-predicting-arterial-blood-pressure-from-non-invasive-4d-flow-mri-data-using-physics-informed-neural-networks-1905.04817"/></url>
<url><loc>https://scifaro.com/en/abs/task-agnostic-dynamics-priors-for-deep-reinforcement-learning-1905.04819</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-agnostic-dynamics-priors-for-deep-reinforcement-learning-1905.04819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-agnostic-dynamics-priors-for-deep-reinforcement-learning-1905.04819"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-image-classification-via-reinforcement-learning-1905.04835</loc><lastmod>2019-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-image-classification-via-reinforcement-learning-1905.04835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-image-classification-via-reinforcement-learning-1905.04835"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-routing-networks-1905.04849</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-routing-networks-1905.04849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-routing-networks-1905.04849"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-importance-weighted-autoencoders-1905.04866</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-importance-weighted-autoencoders-1905.04866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-importance-weighted-autoencoders-1905.04866"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-empirical-risk-minimization-with-sparsity-inducing-norms-1905.04873</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-empirical-risk-minimization-with-sparsity-inducing-norms-1905.04873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-empirical-risk-minimization-with-sparsity-inducing-norms-1905.04873"/></url>
<url><loc>https://scifaro.com/en/abs/bayesnas-a-bayesian-approach-for-neural-architecture-search-1905.04919</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesnas-a-bayesian-approach-for-neural-architecture-search-1905.04919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesnas-a-bayesian-approach-for-neural-architecture-search-1905.04919"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-game-mechanics-1905.04926</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-game-mechanics-1905.04926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-game-mechanics-1905.04926"/></url>
<url><loc>https://scifaro.com/en/abs/universal-invariant-and-equivariant-graph-neural-networks-1905.04943</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-invariant-and-equivariant-graph-neural-networks-1905.04943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-invariant-and-equivariant-graph-neural-networks-1905.04943"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-filter-sparsification-in-convolutional-neural-networks-1905.04967</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-filter-sparsification-in-convolutional-neural-networks-1905.04967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-filter-sparsification-in-convolutional-neural-networks-1905.04967"/></url>
<url><loc>https://scifaro.com/en/abs/tabular-benchmarks-for-joint-architecture-and-hyperparameter-optimization-1905.04970</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tabular-benchmarks-for-joint-architecture-and-hyperparameter-optimization-1905.04970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tabular-benchmarks-for-joint-architecture-and-hyperparameter-optimization-1905.04970"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-regularity-theory-for-relu-networks-chain-rule-and-global-error-estimates-1905.04992</loc><lastmod>2020-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-regularity-theory-for-relu-networks-chain-rule-and-global-error-estimates-1905.04992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-regularity-theory-for-relu-networks-chain-rule-and-global-error-estimates-1905.04992"/></url>
<url><loc>https://scifaro.com/en/abs/capturing-evolution-genes-for-time-series-data-1905.05004</loc><lastmod>2022-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capturing-evolution-genes-for-time-series-data-1905.05004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capturing-evolution-genes-for-time-series-data-1905.05004"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-event-prediction-with-evolutionary-state-graph-1905.05006</loc><lastmod>2020-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-event-prediction-with-evolutionary-state-graph-1905.05006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-event-prediction-with-evolutionary-state-graph-1905.05006"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-utilizing-deep-neural-networks-trained-with-noisy-labels-1905.05040</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-utilizing-deep-neural-networks-trained-with-noisy-labels-1905.05040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-utilizing-deep-neural-networks-trained-with-noisy-labels-1905.05040"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-multiple-clustering-1905.05053</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-multiple-clustering-1905.05053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-multiple-clustering-1905.05053"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-multi-instance-multi-label-learning-based-on-collaborative-matrix-factorization-1905.05061</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-multi-instance-multi-label-learning-based-on-collaborative-matrix-factorization-1905.05061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-multi-instance-multi-label-learning-based-on-collaborative-matrix-factorization-1905.05061"/></url>
<url><loc>https://scifaro.com/en/abs/do-kernel-and-neural-embeddings-help-in-training-and-generalization-1905.05095</loc><lastmod>2023-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-kernel-and-neural-embeddings-help-in-training-and-generalization-1905.05095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-kernel-and-neural-embeddings-help-in-training-and-generalization-1905.05095"/></url>
<url><loc>https://scifaro.com/en/abs/what-clinicians-want-contextualizing-explainable-machine-learning-for-clinical-end-use-1905.05134</loc><lastmod>2019-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-clinicians-want-contextualizing-explainable-machine-learning-for-clinical-end-use-1905.05134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-clinicians-want-contextualizing-explainable-machine-learning-for-clinical-end-use-1905.05134"/></url>
<url><loc>https://scifaro.com/en/abs/federated-multi-task-hierarchical-attention-model-for-sensor-analytics-1905.05142</loc><lastmod>2019-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-multi-task-hierarchical-attention-model-for-sensor-analytics-1905.05142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-multi-task-hierarchical-attention-model-for-sensor-analytics-1905.05142"/></url>
<url><loc>https://scifaro.com/en/abs/a-distributed-approach-towards-discriminative-distance-metric-learning-1905.05177</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributed-approach-towards-discriminative-distance-metric-learning-1905.05177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributed-approach-towards-discriminative-distance-metric-learning-1905.05177"/></url>
<url><loc>https://scifaro.com/en/abs/graph-u-nets-1905.05178</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-u-nets-1905.05178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-u-nets-1905.05178"/></url>
<url><loc>https://scifaro.com/en/abs/metareasoning-in-modular-software-systems-on-the-fly-configuration-using-reinforcement-learning-with-rich-contextual-representations-1905.05179</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metareasoning-in-modular-software-systems-on-the-fly-configuration-using-reinforcement-learning-with-rich-contextual-representations-1905.05179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metareasoning-in-modular-software-systems-on-the-fly-configuration-using-reinforcement-learning-with-rich-contextual-representations-1905.05179"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-exploiting-multiple-subgoals-for-fast-exploration-in-hierarchical-reinforcement-learning-1905.05180</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-exploiting-multiple-subgoals-for-fast-exploration-in-hierarchical-reinforcement-learning-1905.05180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-exploiting-multiple-subgoals-for-fast-exploration-in-hierarchical-reinforcement-learning-1905.05180"/></url>
<url><loc>https://scifaro.com/en/abs/a-stochastic-gradient-method-with-biased-estimation-for-faster-nonconvex-optimization-1905.05185</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stochastic-gradient-method-with-biased-estimation-for-faster-nonconvex-optimization-1905.05185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stochastic-gradient-method-with-biased-estimation-for-faster-nonconvex-optimization-1905.05185"/></url>
<url><loc>https://scifaro.com/en/abs/harnessing-the-vulnerability-of-latent-layers-in-adversarially-trained-models-1905.05186</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harnessing-the-vulnerability-of-latent-layers-in-adversarially-trained-models-1905.05186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harnessing-the-vulnerability-of-latent-layers-in-adversarially-trained-models-1905.05186"/></url>
<url><loc>https://scifaro.com/en/abs/winograd-convolution-for-dnns-beyond-linear-polynomials-1905.05233</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/winograd-convolution-for-dnns-beyond-linear-polynomials-1905.05233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/winograd-convolution-for-dnns-beyond-linear-polynomials-1905.05233"/></url>
<url><loc>https://scifaro.com/en/abs/learning-novel-policies-for-tasks-1905.05252</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-novel-policies-for-tasks-1905.05252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-novel-policies-for-tasks-1905.05252"/></url>
<url><loc>https://scifaro.com/en/abs/can-netgan-be-improved-on-short-random-walks-1905.05298</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-netgan-be-improved-on-short-random-walks-1905.05298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-netgan-be-improved-on-short-random-walks-1905.05298"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchically-structured-meta-learning-1905.05301</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchically-structured-meta-learning-1905.05301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchically-structured-meta-learning-1905.05301"/></url>
<url><loc>https://scifaro.com/en/abs/consequential-ranking-algorithms-and-long-term-welfare-1905.05305</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consequential-ranking-algorithms-and-long-term-welfare-1905.05305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consequential-ranking-algorithms-and-long-term-welfare-1905.05305"/></url>
<url><loc>https://scifaro.com/en/abs/generating-weighted-max-2-sat-instances-of-tunable-difficulty-with-frustrated-loops-1905.05334</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-weighted-max-2-sat-instances-of-tunable-difficulty-with-frustrated-loops-1905.05334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-weighted-max-2-sat-instances-of-tunable-difficulty-with-frustrated-loops-1905.05334"/></url>
<url><loc>https://scifaro.com/en/abs/correlated-variational-auto-encoders-1905.05335</loc><lastmod>2020-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlated-variational-auto-encoders-1905.05335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlated-variational-auto-encoders-1905.05335"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-robust-optimization-with-nearly-submodular-structure-1905.05339</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-robust-optimization-with-nearly-submodular-structure-1905.05339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-robust-optimization-with-nearly-submodular-structure-1905.05339"/></url>
<url><loc>https://scifaro.com/en/abs/graph-attribute-aggregation-network-with-progressive-margin-folding-1905.05347</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-attribute-aggregation-network-with-progressive-margin-folding-1905.05347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-attribute-aggregation-network-with-progressive-margin-folding-1905.05347"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-approximate-inference-1905.05348</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-approximate-inference-1905.05348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-approximate-inference-1905.05348"/></url>
<url><loc>https://scifaro.com/en/abs/control-regularization-for-reduced-variance-reinforcement-learning-1905.05380</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/control-regularization-for-reduced-variance-reinforcement-learning-1905.05380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/control-regularization-for-reduced-variance-reinforcement-learning-1905.05380"/></url>
<url><loc>https://scifaro.com/en/abs/qtran-learning-to-factorize-with-transformation-for-cooperative-multi-agent-reinforcement-learning-1905.05408</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qtran-learning-to-factorize-with-transformation-for-cooperative-multi-agent-reinforcement-learning-1905.05408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qtran-learning-to-factorize-with-transformation-for-cooperative-multi-agent-reinforcement-learning-1905.05408"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-precision-and-recall-definition-for-generative-model-evaluation-1905.05441</loc><lastmod>2023-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-precision-and-recall-definition-for-generative-model-evaluation-1905.05441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-precision-and-recall-definition-for-generative-model-evaluation-1905.05441"/></url>
<url><loc>https://scifaro.com/en/abs/ngo-gm-natural-gradient-optimization-for-graphical-models-1905.05444</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ngo-gm-natural-gradient-optimization-for-graphical-models-1905.05444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ngo-gm-natural-gradient-optimization-for-graphical-models-1905.05444"/></url>
<url><loc>https://scifaro.com/en/abs/moment-based-variational-inference-for-markov-jump-processes-1905.05451</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moment-based-variational-inference-for-markov-jump-processes-1905.05451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moment-based-variational-inference-for-markov-jump-processes-1905.05451"/></url>
<url><loc>https://scifaro.com/en/abs/robustification-of-deep-net-classifiers-by-key-based-diversified-aggregation-with-pre-filtering-1905.05454</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustification-of-deep-net-classifiers-by-key-based-diversified-aggregation-with-pre-filtering-1905.05454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustification-of-deep-net-classifiers-by-key-based-diversified-aggregation-with-pre-filtering-1905.05454"/></url>
<url><loc>https://scifaro.com/en/abs/learning-generative-models-across-incomparable-spaces-1905.05461</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-generative-models-across-incomparable-spaces-1905.05461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-generative-models-across-incomparable-spaces-1905.05461"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-decoding-model-for-functional-alignment-of-unaligned-fmri-data-1905.05468</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-decoding-model-for-functional-alignment-of-unaligned-fmri-data-1905.05468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-decoding-model-for-functional-alignment-of-unaligned-fmri-data-1905.05468"/></url>
<url><loc>https://scifaro.com/en/abs/bias-reduced-hindsight-experience-replay-with-virtual-goal-prioritization-1905.05498</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-reduced-hindsight-experience-replay-with-virtual-goal-prioritization-1905.05498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-reduced-hindsight-experience-replay-with-virtual-goal-prioritization-1905.05498"/></url>
<url><loc>https://scifaro.com/en/abs/multilingual-factor-analysis-1905.05547</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilingual-factor-analysis-1905.05547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilingual-factor-analysis-1905.05547"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-computation-of-hessian-matrices-in-tensorflow-1905.05559</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-computation-of-hessian-matrices-in-tensorflow-1905.05559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-computation-of-hessian-matrices-in-tensorflow-1905.05559"/></url>
<url><loc>https://scifaro.com/en/abs/tauriel-targeting-traveling-salesman-problem-with-a-deep-reinforcement-learning-inspired-architecture-1905.05567</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tauriel-targeting-traveling-salesman-problem-with-a-deep-reinforcement-learning-inspired-architecture-1905.05567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tauriel-targeting-traveling-salesman-problem-with-a-deep-reinforcement-learning-inspired-architecture-1905.05567"/></url>
<url><loc>https://scifaro.com/en/abs/imputing-missing-events-in-continuous-time-event-streams-1905.05570</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imputing-missing-events-in-continuous-time-event-streams-1905.05570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imputing-missing-events-in-continuous-time-event-streams-1905.05570"/></url>
<url><loc>https://scifaro.com/en/abs/embeddings-of-persistence-diagrams-into-hilbert-spaces-1905.05604</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embeddings-of-persistence-diagrams-into-hilbert-spaces-1905.05604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embeddings-of-persistence-diagrams-into-hilbert-spaces-1905.05604"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-spatio-temporal-fuzzy-neural-network-for-passenger-demand-prediction-1905.05614</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-spatio-temporal-fuzzy-neural-network-for-passenger-demand-prediction-1905.05614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-spatio-temporal-fuzzy-neural-network-for-passenger-demand-prediction-1905.05614"/></url>
<url><loc>https://scifaro.com/en/abs/activehne-active-heterogeneous-network-embedding-1905.05659</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/activehne-active-heterogeneous-network-embedding-1905.05659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/activehne-active-heterogeneous-network-embedding-1905.05659"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-metrics-for-unsupervised-learning-algorithms-1905.05667</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-metrics-for-unsupervised-learning-algorithms-1905.05667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-metrics-for-unsupervised-learning-algorithms-1905.05667"/></url>
<url><loc>https://scifaro.com/en/abs/network-pruning-for-low-rank-binary-indexing-1905.05686</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-pruning-for-low-rank-binary-indexing-1905.05686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-pruning-for-low-rank-binary-indexing-1905.05686"/></url>
<url><loc>https://scifaro.com/en/abs/trajectory-based-off-policy-deep-reinforcement-learning-1905.05710</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trajectory-based-off-policy-deep-reinforcement-learning-1905.05710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trajectory-based-off-policy-deep-reinforcement-learning-1905.05710"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-at-microsoft-with-ml-net-1905.05715</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-at-microsoft-with-ml-net-1905.05715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-at-microsoft-with-ml-net-1905.05715"/></url>
<url><loc>https://scifaro.com/en/abs/successor-options-an-option-discovery-framework-for-reinforcement-learning-1905.05731</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/successor-options-an-option-discovery-framework-for-reinforcement-learning-1905.05731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/successor-options-an-option-discovery-framework-for-reinforcement-learning-1905.05731"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-blockmodels-meet-graph-neural-networks-1905.05738</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-blockmodels-meet-graph-neural-networks-1905.05738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-blockmodels-meet-graph-neural-networks-1905.05738"/></url>
<url><loc>https://scifaro.com/en/abs/graph-convolutional-gaussian-processes-1905.05739</loc><lastmod>2019-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-convolutional-gaussian-processes-1905.05739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-convolutional-gaussian-processes-1905.05739"/></url>
<url><loc>https://scifaro.com/en/abs/deepflow-history-matching-in-the-space-of-deep-generative-models-1905.05749</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepflow-history-matching-in-the-space-of-deep-generative-models-1905.05749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepflow-history-matching-in-the-space-of-deep-generative-models-1905.05749"/></url>
<url><loc>https://scifaro.com/en/abs/online-anomaly-detection-with-sparse-gaussian-processes-1905.05761</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-anomaly-detection-with-sparse-gaussian-processes-1905.05761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-anomaly-detection-with-sparse-gaussian-processes-1905.05761"/></url>
<url><loc>https://scifaro.com/en/abs/improving-model-training-by-periodic-sampling-over-weight-distributions-1905.05774</loc><lastmod>2020-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-model-training-by-periodic-sampling-over-weight-distributions-1905.05774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-model-training-by-periodic-sampling-over-weight-distributions-1905.05774"/></url>
<url><loc>https://scifaro.com/en/abs/misleading-failures-of-partial-input-baselines-1905.05778</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/misleading-failures-of-partial-input-baselines-1905.05778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/misleading-failures-of-partial-input-baselines-1905.05778"/></url>
<url><loc>https://scifaro.com/en/abs/combining-parametric-and-nonparametric-models-for-off-policy-evaluation-1905.05787</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-parametric-and-nonparametric-models-for-off-policy-evaluation-1905.05787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-parametric-and-nonparametric-models-for-off-policy-evaluation-1905.05787"/></url>
<url><loc>https://scifaro.com/en/abs/learning-policies-from-self-play-with-policy-gradients-and-mcts-value-estimates-1905.05809</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-policies-from-self-play-with-policy-gradients-and-mcts-value-estimates-1905.05809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-policies-from-self-play-with-policy-gradients-and-mcts-value-estimates-1905.05809"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-off-policy-evaluation-with-gumbel-max-structural-causal-models-1905.05824</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-off-policy-evaluation-with-gumbel-max-structural-causal-models-1905.05824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-off-policy-evaluation-with-gumbel-max-structural-causal-models-1905.05824"/></url>
<url><loc>https://scifaro.com/en/abs/a-learning-based-branch-and-bound-for-maximum-common-subgraph-problems-1905.05840</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-learning-based-branch-and-bound-for-maximum-common-subgraph-problems-1905.05840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-learning-based-branch-and-bound-for-maximum-common-subgraph-problems-1905.05840"/></url>
<url><loc>https://scifaro.com/en/abs/task-driven-data-verification-via-gradient-descent-1905.05843</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-driven-data-verification-via-gradient-descent-1905.05843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-driven-data-verification-via-gradient-descent-1905.05843"/></url>
<url><loc>https://scifaro.com/en/abs/consensus-based-interpretable-deep-neural-networks-with-application-to-mortality-prediction-1905.05849</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consensus-based-interpretable-deep-neural-networks-with-application-to-mortality-prediction-1905.05849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consensus-based-interpretable-deep-neural-networks-with-application-to-mortality-prediction-1905.05849"/></url>
<url><loc>https://scifaro.com/en/abs/variational-regret-bounds-for-reinforcement-learning-1905.05857</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-regret-bounds-for-reinforcement-learning-1905.05857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-regret-bounds-for-reinforcement-learning-1905.05857"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-semi-parametric-models-for-survival-analysis-1905.05865</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-semi-parametric-models-for-survival-analysis-1905.05865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-semi-parametric-models-for-survival-analysis-1905.05865"/></url>
<url><loc>https://scifaro.com/en/abs/resource-aware-elastic-swap-random-forest-for-evolving-data-streams-1905.05881</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resource-aware-elastic-swap-random-forest-for-evolving-data-streams-1905.05881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resource-aware-elastic-swap-random-forest-for-evolving-data-streams-1905.05881"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-mean-matching-for-content-addressability-of-gans-1905.05882</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-mean-matching-for-content-addressability-of-gans-1905.05882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-mean-matching-for-content-addressability-of-gans-1905.05882"/></url>
<url><loc>https://scifaro.com/en/abs/online-normalization-for-training-neural-networks-1905.05894</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-normalization-for-training-neural-networks-1905.05894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-normalization-for-training-neural-networks-1905.05894"/></url>
<url><loc>https://scifaro.com/en/abs/addressing-the-loss-metric-mismatch-with-adaptive-loss-alignment-1905.05895</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addressing-the-loss-metric-mismatch-with-adaptive-loss-alignment-1905.05895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addressing-the-loss-metric-mismatch-with-adaptive-loss-alignment-1905.05895"/></url>
<url><loc>https://scifaro.com/en/abs/learning-what-and-where-to-transfer-1905.05901</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-what-and-where-to-transfer-1905.05901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-what-and-where-to-transfer-1905.05901"/></url>
<url><loc>https://scifaro.com/en/abs/adaptivity-and-optimality-a-universal-algorithm-for-online-convex-optimization-1905.05917</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptivity-and-optimality-a-universal-algorithm-for-online-convex-optimization-1905.05917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptivity-and-optimality-a-universal-algorithm-for-online-convex-optimization-1905.05917"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-network-evolutionary-computational-framework-for-remaining-useful-life-estimation-of-mechanical-systems-1905.05918</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-network-evolutionary-computational-framework-for-remaining-useful-life-estimation-of-mechanical-systems-1905.05918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-network-evolutionary-computational-framework-for-remaining-useful-life-estimation-of-mechanical-systems-1905.05918"/></url>
<url><loc>https://scifaro.com/en/abs/game-theoretic-optimization-via-gradient-based-nikaido-isoda-function-1905.05927</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/game-theoretic-optimization-via-gradient-based-nikaido-isoda-function-1905.05927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/game-theoretic-optimization-via-gradient-based-nikaido-isoda-function-1905.05927"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-the-usage-of-batch-normalization-and-dropout-in-the-training-of-deep-neural-networks-1905.05928</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-the-usage-of-batch-normalization-and-dropout-in-the-training-of-deep-neural-networks-1905.05928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-the-usage-of-batch-normalization-and-dropout-in-the-training-of-deep-neural-networks-1905.05928"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-deep-neural-networks-1905.05929</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-deep-neural-networks-1905.05929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-deep-neural-networks-1905.05929"/></url>
<url><loc>https://scifaro.com/en/abs/eigendamage-structured-pruning-in-the-kronecker-factored-eigenbasis-1905.05934</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigendamage-structured-pruning-in-the-kronecker-factored-eigenbasis-1905.05934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigendamage-structured-pruning-in-the-kronecker-factored-eigenbasis-1905.05934"/></url>
<url><loc>https://scifaro.com/en/abs/easics-the-objective-and-fine-grained-classification-method-of-cervical-spondylosis-dysfunction-1905.05987</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/easics-the-objective-and-fine-grained-classification-method-of-cervical-spondylosis-dysfunction-1905.05987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/easics-the-objective-and-fine-grained-classification-method-of-cervical-spondylosis-dysfunction-1905.05987"/></url>
<url><loc>https://scifaro.com/en/abs/simitate-a-hybrid-imitation-learning-benchmark-1905.06002</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simitate-a-hybrid-imitation-learning-benchmark-1905.06002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simitate-a-hybrid-imitation-learning-benchmark-1905.06002"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-model-selection-for-neural-networks-1905.06010</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-model-selection-for-neural-networks-1905.06010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-model-selection-for-neural-networks-1905.06010"/></url>
<url><loc>https://scifaro.com/en/abs/can-graph-neural-networks-go-online-an-analysis-of-pretraining-and-inference-1905.06018</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-graph-neural-networks-go-online-an-analysis-of-pretraining-and-inference-1905.06018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-graph-neural-networks-go-online-an-analysis-of-pretraining-and-inference-1905.06018"/></url>
<url><loc>https://scifaro.com/en/abs/survival-of-the-fittest-in-playerunknown-battleground-1905.06052</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survival-of-the-fittest-in-playerunknown-battleground-1905.06052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survival-of-the-fittest-in-playerunknown-battleground-1905.06052"/></url>
<url><loc>https://scifaro.com/en/abs/ignorance-aware-approaches-and-algorithms-for-prototype-selection-in-machine-learning-1905.06054</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ignorance-aware-approaches-and-algorithms-for-prototype-selection-in-machine-learning-1905.06054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ignorance-aware-approaches-and-algorithms-for-prototype-selection-in-machine-learning-1905.06054"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-deterministic-and-stochastic-binarized-neural-networks-on-fpgas-using-opencl-1905.06105</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-deterministic-and-stochastic-binarized-neural-networks-on-fpgas-using-opencl-1905.06105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-deterministic-and-stochastic-binarized-neural-networks-on-fpgas-using-opencl-1905.06105"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-reinforcement-learning-for-efficient-exploration-1905.06125</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-reinforcement-learning-for-efficient-exploration-1905.06125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-reinforcement-learning-for-efficient-exploration-1905.06125"/></url>
<url><loc>https://scifaro.com/en/abs/embeddings-and-representation-learning-for-structured-data-1905.06147</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embeddings-and-representation-learning-for-structured-data-1905.06147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embeddings-and-representation-learning-for-structured-data-1905.06147"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-architecture-search-with-deep-graph-bayesian-optimization-1905.06159</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-architecture-search-with-deep-graph-bayesian-optimization-1905.06159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-architecture-search-with-deep-graph-bayesian-optimization-1905.06159"/></url>
<url><loc>https://scifaro.com/en/abs/tsxplain-demystification-of-dnn-decisions-for-time-series-using-natural-language-and-statistical-features-1905.06175</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tsxplain-demystification-of-dnn-decisions-for-time-series-using-natural-language-and-statistical-features-1905.06175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tsxplain-demystification-of-dnn-decisions-for-time-series-using-natural-language-and-statistical-features-1905.06175"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-linearized-admm-1905.06179</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-linearized-admm-1905.06179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-linearized-admm-1905.06179"/></url>
<url><loc>https://scifaro.com/en/abs/neural-query-language-a-knowledge-base-query-language-for-tensorflow-1905.06209</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-query-language-a-knowledge-base-query-language-for-tensorflow-1905.06209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-query-language-a-knowledge-base-query-language-for-tensorflow-1905.06209"/></url>
<url><loc>https://scifaro.com/en/abs/gmnn-graph-markov-neural-networks-1905.06214</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gmnn-graph-markov-neural-networks-1905.06214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gmnn-graph-markov-neural-networks-1905.06214"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-classify-regress-a-general-method-for-learning-discountinous-functions-1905.06220</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-classify-regress-a-general-method-for-learning-discountinous-functions-1905.06220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-classify-regress-a-general-method-for-learning-discountinous-functions-1905.06220"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-clustering-of-signed-graphs-via-matrix-power-means-1905.06230</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-clustering-of-signed-graphs-via-matrix-power-means-1905.06230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-clustering-of-signed-graphs-via-matrix-power-means-1905.06230"/></url>
<url><loc>https://scifaro.com/en/abs/detection-of-review-abuse-via-semi-supervised-binary-multi-target-tensor-decomposition-1905.06246</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-of-review-abuse-via-semi-supervised-binary-multi-target-tensor-decomposition-1905.06246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-of-review-abuse-via-semi-supervised-binary-multi-target-tensor-decomposition-1905.06246"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-perspectives-hmm-based-feature-engineering-for-credit-card-fraud-detection-1905.06247</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-perspectives-hmm-based-feature-engineering-for-credit-card-fraud-detection-1905.06247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-perspectives-hmm-based-feature-engineering-for-credit-card-fraud-detection-1905.06247"/></url>
<url><loc>https://scifaro.com/en/abs/function-space-pooling-for-graph-convolutional-networks-1905.06259</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/function-space-pooling-for-graph-convolutional-networks-1905.06259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/function-space-pooling-for-graph-convolutional-networks-1905.06259"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-malware-description-via-attribute-tagging-and-similarity-embedding-1905.06262</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-malware-description-via-attribute-tagging-and-similarity-embedding-1905.06262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-malware-description-via-attribute-tagging-and-similarity-embedding-1905.06262"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-approximation-with-cone-contractive-operators-sharp-ell-infty-bounds-for-q-learning-1905.06265</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-approximation-with-cone-contractive-operators-sharp-ell-infty-bounds-for-q-learning-1905.06265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-approximation-with-cone-contractive-operators-sharp-ell-infty-bounds-for-q-learning-1905.06265"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-robotics-and-control-with-active-uncertainty-reduction-1905.06274</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-robotics-and-control-with-active-uncertainty-reduction-1905.06274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-robotics-and-control-with-active-uncertainty-reduction-1905.06274"/></url>
<url><loc>https://scifaro.com/en/abs/output-constrained-bayesian-neural-networks-1905.06287</loc><lastmod>2019-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/output-constrained-bayesian-neural-networks-1905.06287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/output-constrained-bayesian-neural-networks-1905.06287"/></url>
<url><loc>https://scifaro.com/en/abs/lgm-net-learning-to-generate-matching-networks-for-few-shot-learning-1905.06331</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lgm-net-learning-to-generate-matching-networks-for-few-shot-learning-1905.06331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lgm-net-learning-to-generate-matching-networks-for-few-shot-learning-1905.06331"/></url>
<url><loc>https://scifaro.com/en/abs/contextualized-spatial-temporal-network-for-taxi-origin-destination-demand-prediction-1905.06335</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextualized-spatial-temporal-network-for-taxi-origin-destination-demand-prediction-1905.06335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextualized-spatial-temporal-network-for-taxi-origin-destination-demand-prediction-1905.06335"/></url>
<url><loc>https://scifaro.com/en/abs/fat-deepffm-field-attentive-deep-field-aware-factorization-machine-1905.06336</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fat-deepffm-field-attentive-deep-field-aware-factorization-machine-1905.06336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fat-deepffm-field-attentive-deep-field-aware-factorization-machine-1905.06336"/></url>
<url><loc>https://scifaro.com/en/abs/ipc-a-benchmark-data-set-for-learning-with-graph-structured-data-1905.06393</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ipc-a-benchmark-data-set-for-learning-with-graph-structured-data-1905.06393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ipc-a-benchmark-data-set-for-learning-with-graph-structured-data-1905.06393"/></url>
<url><loc>https://scifaro.com/en/abs/meta-reinforcement-learning-as-task-inference-1905.06424</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-reinforcement-learning-as-task-inference-1905.06424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-reinforcement-learning-as-task-inference-1905.06424"/></url>
<url><loc>https://scifaro.com/en/abs/classification-via-an-embedded-approach-1905.06431</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-via-an-embedded-approach-1905.06431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-via-an-embedded-approach-1905.06431"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-neural-network-channel-execution-for-efficient-training-1905.06435</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-neural-network-channel-execution-for-efficient-training-1905.06435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-neural-network-channel-execution-for-efficient-training-1905.06435"/></url>
<url><loc>https://scifaro.com/en/abs/on-norm-agnostic-robustness-of-adversarial-training-1905.06455</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-norm-agnostic-robustness-of-adversarial-training-1905.06455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-norm-agnostic-robustness-of-adversarial-training-1905.06455"/></url>
<url><loc>https://scifaro.com/en/abs/exploration-exploitation-trade-off-in-reinforcement-learning-on-online-markov-decision-processes-with-global-concave-rewards-1905.06466</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploration-exploitation-trade-off-in-reinforcement-learning-on-online-markov-decision-processes-with-global-concave-rewards-1905.06466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploration-exploitation-trade-off-in-reinforcement-learning-on-online-markov-decision-processes-with-global-concave-rewards-1905.06466"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-based-on-generative-adversarial-network-a-comparison-between-good-gan-and-bad-gan-approach-1905.06484</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-based-on-generative-adversarial-network-a-comparison-between-good-gan-and-bad-gan-approach-1905.06484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-based-on-generative-adversarial-network-a-comparison-between-good-gan-and-bad-gan-approach-1905.06484"/></url>
<url><loc>https://scifaro.com/en/abs/data-poisoning-attacks-on-stochastic-bandits-1905.06494</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-poisoning-attacks-on-stochastic-bandits-1905.06494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-poisoning-attacks-on-stochastic-bandits-1905.06494"/></url>
<url><loc>https://scifaro.com/en/abs/joint-learning-of-neural-networks-via-iterative-reweighted-least-squares-1905.06526</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-learning-of-neural-networks-via-iterative-reweighted-least-squares-1905.06526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-learning-of-neural-networks-via-iterative-reweighted-least-squares-1905.06526"/></url>
<url><loc>https://scifaro.com/en/abs/meta-reinforcement-learning-with-task-embedding-and-shared-policy-1905.06527</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-reinforcement-learning-with-task-embedding-and-shared-policy-1905.06527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-reinforcement-learning-with-task-embedding-and-shared-policy-1905.06527"/></url>
<url><loc>https://scifaro.com/en/abs/tapnet-neural-network-augmented-with-task-adaptive-projection-for-few-shot-learning-1905.06549</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tapnet-neural-network-augmented-with-task-adaptive-projection-for-few-shot-learning-1905.06549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tapnet-neural-network-augmented-with-task-adaptive-projection-for-few-shot-learning-1905.06549"/></url>
<url><loc>https://scifaro.com/en/abs/star-a-concise-deep-learning-framework-for-citywide-human-mobility-prediction-1905.06576</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/star-a-concise-deep-learning-framework-for-citywide-human-mobility-prediction-1905.06576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/star-a-concise-deep-learning-framework-for-citywide-human-mobility-prediction-1905.06576"/></url>
<url><loc>https://scifaro.com/en/abs/on-conditioning-gans-to-hierarchical-ontologies-1905.06586</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-conditioning-gans-to-hierarchical-ontologies-1905.06586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-conditioning-gans-to-hierarchical-ontologies-1905.06586"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-dual-decoder-model-for-generating-response-with-sentiment-1905.06597</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-dual-decoder-model-for-generating-response-with-sentiment-1905.06597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-dual-decoder-model-for-generating-response-with-sentiment-1905.06597"/></url>
<url><loc>https://scifaro.com/en/abs/moglow-probabilistic-and-controllable-motion-synthesis-using-normalising-flows-1905.06598</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moglow-probabilistic-and-controllable-motion-synthesis-using-normalising-flows-1905.06598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moglow-probabilistic-and-controllable-motion-synthesis-using-normalising-flows-1905.06598"/></url>
<url><loc>https://scifaro.com/en/abs/parsimonious-black-box-adversarial-attacks-via-efficient-combinatorial-optimization-1905.06635</loc><lastmod>2022-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parsimonious-black-box-adversarial-attacks-via-efficient-combinatorial-optimization-1905.06635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parsimonious-black-box-adversarial-attacks-via-efficient-combinatorial-optimization-1905.06635"/></url>
<url><loc>https://scifaro.com/en/abs/formal-derivation-of-mesh-neural-networks-with-their-forward-only-gradient-propagation-1905.06684</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/formal-derivation-of-mesh-neural-networks-with-their-forward-only-gradient-propagation-1905.06684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/formal-derivation-of-mesh-neural-networks-with-their-forward-only-gradient-propagation-1905.06684"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-javascript-types-using-graph-neural-networks-1905.06707</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-javascript-types-using-graph-neural-networks-1905.06707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-javascript-types-using-graph-neural-networks-1905.06707"/></url>
<url><loc>https://scifaro.com/en/abs/deep-compressed-sensing-1905.06723</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-compressed-sensing-1905.06723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-compressed-sensing-1905.06723"/></url>
<url><loc>https://scifaro.com/en/abs/braintorrent-a-peer-to-peer-environment-for-decentralized-federated-learning-1905.06731</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/braintorrent-a-peer-to-peer-environment-for-decentralized-federated-learning-1905.06731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/braintorrent-a-peer-to-peer-environment-for-decentralized-federated-learning-1905.06731"/></url>
<url><loc>https://scifaro.com/en/abs/random-expert-distillation-imitation-learning-via-expert-policy-support-estimation-1905.06750</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-expert-distillation-imitation-learning-via-expert-policy-support-estimation-1905.06750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-expert-distillation-imitation-learning-via-expert-policy-support-estimation-1905.06750"/></url>
<url><loc>https://scifaro.com/en/abs/stability-of-linear-structural-equation-models-of-causal-inference-1905.06836</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-of-linear-structural-equation-models-of-causal-inference-1905.06836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-of-linear-structural-equation-models-of-causal-inference-1905.06836"/></url>
<url><loc>https://scifaro.com/en/abs/bit-swap-recursive-bits-back-coding-for-lossless-compression-with-hierarchical-latent-variables-1905.06845</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bit-swap-recursive-bits-back-coding-for-lossless-compression-with-hierarchical-latent-variables-1905.06845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bit-swap-recursive-bits-back-coding-for-lossless-compression-with-hierarchical-latent-variables-1905.06845"/></url>
<url><loc>https://scifaro.com/en/abs/algonet-c-infty-smooth-algorithmic-neural-networks-1905.06886</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algonet-c-infty-smooth-algorithmic-neural-networks-1905.06886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algonet-c-infty-smooth-algorithmic-neural-networks-1905.06886"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-exploration-in-off-policy-algorithms-via-normalizing-flows-1905.06893</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-exploration-in-off-policy-algorithms-via-normalizing-flows-1905.06893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-exploration-in-off-policy-algorithms-via-normalizing-flows-1905.06893"/></url>
<url><loc>https://scifaro.com/en/abs/learning-discriminative-features-in-sequence-training-without-requiring-framewise-labelled-data-1905.06907</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-discriminative-features-in-sequence-training-without-requiring-framewise-labelled-data-1905.06907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-discriminative-features-in-sequence-training-without-requiring-framewise-labelled-data-1905.06907"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-multi-scale-changepoint-detection-in-multivariate-time-series-1905.06913</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-multi-scale-changepoint-detection-in-multivariate-time-series-1905.06913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-multi-scale-changepoint-detection-in-multivariate-time-series-1905.06913"/></url>
<url><loc>https://scifaro.com/en/abs/fooling-computer-vision-into-inferring-the-wrong-body-mass-index-1905.06916</loc><lastmod>2019-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fooling-computer-vision-into-inferring-the-wrong-body-mass-index-1905.06916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fooling-computer-vision-into-inferring-the-wrong-body-mass-index-1905.06916"/></url>
<url><loc>https://scifaro.com/en/abs/on-variational-bounds-of-mutual-information-1905.06922</loc><lastmod>2019-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-variational-bounds-of-mutual-information-1905.06922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-variational-bounds-of-mutual-information-1905.06922"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-deep-gaussian-process-models-for-variable-sized-input-1905.06982</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-deep-gaussian-process-models-for-variable-sized-input-1905.06982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-deep-gaussian-process-models-for-variable-sized-input-1905.06982"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-optimization-of-loops-and-limits-with-randomized-telescoping-sums-1905.07006</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-optimization-of-loops-and-limits-with-randomized-telescoping-sums-1905.07006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-optimization-of-loops-and-limits-with-randomized-telescoping-sums-1905.07006"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-in-machine-learning-with-tractable-models-1905.07026</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-in-machine-learning-with-tractable-models-1905.07026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-in-machine-learning-with-tractable-models-1905.07026"/></url>
<url><loc>https://scifaro.com/en/abs/vector-field-neural-networks-1905.07033</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vector-field-neural-networks-1905.07033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vector-field-neural-networks-1905.07033"/></url>
<url><loc>https://scifaro.com/en/abs/utilizing-deep-learning-towards-multi-modal-bio-sensing-and-vision-based-affective-computing-1905.07039</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/utilizing-deep-learning-towards-multi-modal-bio-sensing-and-vision-based-affective-computing-1905.07039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/utilizing-deep-learning-towards-multi-modal-bio-sensing-and-vision-based-affective-computing-1905.07039"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-adjacency-spectral-embedding-on-stochastic-blockmodels-1905.07065</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-adjacency-spectral-embedding-on-stochastic-blockmodels-1905.07065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-adjacency-spectral-embedding-on-stochastic-blockmodels-1905.07065"/></url>
<url><loc>https://scifaro.com/en/abs/sliced-score-matching-a-scalable-approach-to-density-and-score-estimation-1905.07088</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sliced-score-matching-a-scalable-approach-to-density-and-score-estimation-1905.07088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sliced-score-matching-a-scalable-approach-to-density-and-score-estimation-1905.07088"/></url>
<url><loc>https://scifaro.com/en/abs/mastering-the-game-of-sungka-from-random-play-1905.07102</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mastering-the-game-of-sungka-from-random-play-1905.07102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mastering-the-game-of-sungka-from-random-play-1905.07102"/></url>
<url><loc>https://scifaro.com/en/abs/online-multivariate-anomaly-detection-and-localization-for-high-dimensional-settings-1905.07107</loc><lastmod>2020-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-multivariate-anomaly-detection-and-localization-for-high-dimensional-settings-1905.07107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-multivariate-anomaly-detection-and-localization-for-high-dimensional-settings-1905.07107"/></url>
<url><loc>https://scifaro.com/en/abs/ssfn-self-size-estimating-feed-forward-network-with-low-complexity-limited-need-for-human-intervention-and-consistent-behaviour-across-trials-1905.07111</loc><lastmod>2020-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ssfn-self-size-estimating-feed-forward-network-with-low-complexity-limited-need-for-human-intervention-and-consistent-behaviour-across-trials-1905.07111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ssfn-self-size-estimating-feed-forward-network-with-low-complexity-limited-need-for-human-intervention-and-consistent-behaviour-across-trials-1905.07111"/></url>
<url><loc>https://scifaro.com/en/abs/simple-black-box-adversarial-attacks-1905.07121</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-black-box-adversarial-attacks-1905.07121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-black-box-adversarial-attacks-1905.07121"/></url>
<url><loc>https://scifaro.com/en/abs/biosignal-generation-and-latent-variable-analysis-with-recurrent-generative-adversarial-networks-1905.07136</loc><lastmod>2023-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biosignal-generation-and-latent-variable-analysis-with-recurrent-generative-adversarial-networks-1905.07136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biosignal-generation-and-latent-variable-analysis-with-recurrent-generative-adversarial-networks-1905.07136"/></url>
<url><loc>https://scifaro.com/en/abs/an-essay-on-optimization-mystery-of-deep-learning-1905.07187</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-essay-on-optimization-mystery-of-deep-learning-1905.07187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-essay-on-optimization-mystery-of-deep-learning-1905.07187"/></url>
<url><loc>https://scifaro.com/en/abs/reference-based-sequence-classification-1905.07188</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reference-based-sequence-classification-1905.07188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reference-based-sequence-classification-1905.07188"/></url>
<url><loc>https://scifaro.com/en/abs/mamic-macro-and-micro-curriculum-for-robotic-reinforcement-learning-1905.07193</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mamic-macro-and-micro-curriculum-for-robotic-reinforcement-learning-1905.07193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mamic-macro-and-micro-curriculum-for-robotic-reinforcement-learning-1905.07193"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-fl-for-wireless-networks-cooperative-learning-mechanism-using-non-iid-data-1905.07210</loc><lastmod>2020-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-fl-for-wireless-networks-cooperative-learning-mechanism-using-non-iid-data-1905.07210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-fl-for-wireless-networks-cooperative-learning-mechanism-using-non-iid-data-1905.07210"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-based-framework-for-psychophysics-lab-versus-crowdsourcing-1905.07234</loc><lastmod>2019-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-based-framework-for-psychophysics-lab-versus-crowdsourcing-1905.07234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-based-framework-for-psychophysics-lab-versus-crowdsourcing-1905.07234"/></url>
<url><loc>https://scifaro.com/en/abs/tbq-sigma-improving-efficiency-of-trace-utilization-for-off-policy-reinforcement-learning-1905.07237</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tbq-sigma-improving-efficiency-of-trace-utilization-for-off-policy-reinforcement-learning-1905.07237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tbq-sigma-improving-efficiency-of-trace-utilization-for-off-policy-reinforcement-learning-1905.07237"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-graph-embeddings-via-sparse-transpose-proximities-1905.07245</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-graph-embeddings-via-sparse-transpose-proximities-1905.07245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-graph-embeddings-via-sparse-transpose-proximities-1905.07245"/></url>
<url><loc>https://scifaro.com/en/abs/kitchenette-predicting-and-recommending-food-ingredient-pairings-using-siamese-neural-networks-1905.07261</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kitchenette-predicting-and-recommending-food-ingredient-pairings-using-siamese-neural-networks-1905.07261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kitchenette-predicting-and-recommending-food-ingredient-pairings-using-siamese-neural-networks-1905.07261"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-interactive-learning-a-clarification-of-terms-and-a-differentiation-from-other-research-fields-1905.07264</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-interactive-learning-a-clarification-of-terms-and-a-differentiation-from-other-research-fields-1905.07264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-interactive-learning-a-clarification-of-terms-and-a-differentiation-from-other-research-fields-1905.07264"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-temporal-localization-via-occurrence-count-learning-1905.07293</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-temporal-localization-via-occurrence-count-learning-1905.07293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-temporal-localization-via-occurrence-count-learning-1905.07293"/></url>
<url><loc>https://scifaro.com/en/abs/moba-a-multi-objective-bounded-abstention-model-for-two-class-cost-sensitive-problems-1905.07297</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moba-a-multi-objective-bounded-abstention-model-for-two-class-cost-sensitive-problems-1905.07297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moba-a-multi-objective-bounded-abstention-model-for-two-class-cost-sensitive-problems-1905.07297"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-metric-for-dataset-complexity-assessment-1905.07299</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-metric-for-dataset-complexity-assessment-1905.07299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-metric-for-dataset-complexity-assessment-1905.07299"/></url>
<url><loc>https://scifaro.com/en/abs/stochastically-dominant-distributional-reinforcement-learning-1905.07318</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastically-dominant-distributional-reinforcement-learning-1905.07318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastically-dominant-distributional-reinforcement-learning-1905.07318"/></url>
<url><loc>https://scifaro.com/en/abs/decision-oriented-communications-application-to-energy-efficient-resource-allocation-1905.07339</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-oriented-communications-application-to-energy-efficient-resource-allocation-1905.07339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-oriented-communications-application-to-energy-efficient-resource-allocation-1905.07339"/></url>
<url><loc>https://scifaro.com/en/abs/embench-quantifying-performance-variations-of-deep-neural-networks-across-modern-commodity-devices-1905.07346</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embench-quantifying-performance-variations-of-deep-neural-networks-across-modern-commodity-devices-1905.07346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embench-quantifying-performance-variations-of-deep-neural-networks-across-modern-commodity-devices-1905.07346"/></url>
<url><loc>https://scifaro.com/en/abs/deepswarm-optimising-convolutional-neural-networks-using-swarm-intelligence-1905.07350</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepswarm-optimising-convolutional-neural-networks-using-swarm-intelligence-1905.07350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepswarm-optimising-convolutional-neural-networks-using-swarm-intelligence-1905.07350"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-kalman-networks-factorized-inference-in-high-dimensional-deep-feature-spaces-1905.07357</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-kalman-networks-factorized-inference-in-high-dimensional-deep-feature-spaces-1905.07357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-kalman-networks-factorized-inference-in-high-dimensional-deep-feature-spaces-1905.07357"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-fairness-in-machine-learning-1905.07360</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-fairness-in-machine-learning-1905.07360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-fairness-in-machine-learning-1905.07360"/></url>
<url><loc>https://scifaro.com/en/abs/stratospheric-aerosol-injection-as-a-deep-reinforcement-learning-problem-1905.07366</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stratospheric-aerosol-injection-as-a-deep-reinforcement-learning-problem-1905.07366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stratospheric-aerosol-injection-as-a-deep-reinforcement-learning-problem-1905.07366"/></url>
<url><loc>https://scifaro.com/en/abs/integer-discrete-flows-and-lossless-compression-1905.07376</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integer-discrete-flows-and-lossless-compression-1905.07376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integer-discrete-flows-and-lossless-compression-1905.07376"/></url>
<url><loc>https://scifaro.com/en/abs/popqorn-quantifying-robustness-of-recurrent-neural-networks-1905.07387</loc><lastmod>2019-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/popqorn-quantifying-robustness-of-recurrent-neural-networks-1905.07387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/popqorn-quantifying-robustness-of-recurrent-neural-networks-1905.07387"/></url>
<url><loc>https://scifaro.com/en/abs/alpha-maml-adaptive-model-agnostic-meta-learning-1905.07435</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alpha-maml-adaptive-model-agnostic-meta-learning-1905.07435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alpha-maml-adaptive-model-agnostic-meta-learning-1905.07435"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-semi-supervised-active-learning-for-edge-flows-1905.07451</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-semi-supervised-active-learning-for-edge-flows-1905.07451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-semi-supervised-active-learning-for-edge-flows-1905.07451"/></url>
<url><loc>https://scifaro.com/en/abs/adaptively-truncating-backpropagation-through-time-to-control-gradient-bias-1905.07473</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptively-truncating-backpropagation-through-time-to-control-gradient-bias-1905.07473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptively-truncating-backpropagation-through-time-to-control-gradient-bias-1905.07473"/></url>
<url><loc>https://scifaro.com/en/abs/dueling-decoders-regularizing-variational-autoencoder-latent-spaces-1905.07478</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dueling-decoders-regularizing-variational-autoencoder-latent-spaces-1905.07478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dueling-decoders-regularizing-variational-autoencoder-latent-spaces-1905.07478"/></url>
<url><loc>https://scifaro.com/en/abs/incentive-design-for-efficient-federated-learning-in-mobile-networks-a-contract-theory-approach-1905.07479</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incentive-design-for-efficient-federated-learning-in-mobile-networks-a-contract-theory-approach-1905.07479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incentive-design-for-efficient-federated-learning-in-mobile-networks-a-contract-theory-approach-1905.07479"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-posterior-transformation-for-likelihood-free-inference-1905.07488</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-posterior-transformation-for-likelihood-free-inference-1905.07488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-posterior-transformation-for-likelihood-free-inference-1905.07488"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-training-algorithm-for-neural-networks-1905.07490</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-training-algorithm-for-neural-networks-1905.07490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-training-algorithm-for-neural-networks-1905.07490"/></url>
<url><loc>https://scifaro.com/en/abs/enforcing-constraints-for-time-series-prediction-in-supervised-unsupervised-and-reinforcement-learning-1905.07501</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enforcing-constraints-for-time-series-prediction-in-supervised-unsupervised-and-reinforcement-learning-1905.07501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enforcing-constraints-for-time-series-prediction-in-supervised-unsupervised-and-reinforcement-learning-1905.07501"/></url>
<url><loc>https://scifaro.com/en/abs/multinomial-distribution-learning-for-effective-neural-architecture-search-1905.07529</loc><lastmod>2019-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multinomial-distribution-learning-for-effective-neural-architecture-search-1905.07529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multinomial-distribution-learning-for-effective-neural-architecture-search-1905.07529"/></url>
<url><loc>https://scifaro.com/en/abs/rafm-rank-aware-factorization-machines-1905.07570</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rafm-rank-aware-factorization-machines-1905.07570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rafm-rank-aware-factorization-machines-1905.07570"/></url>
<url><loc>https://scifaro.com/en/abs/combining-experience-replay-with-exploration-by-random-network-distillation-1905.07579</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-experience-replay-with-exploration-by-random-network-distillation-1905.07579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-experience-replay-with-exploration-by-random-network-distillation-1905.07579"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-feature-extraction-and-neural-arithmetic-logic-units-for-stock-prediction-1905.07581</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-feature-extraction-and-neural-arithmetic-logic-units-for-stock-prediction-1905.07581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-feature-extraction-and-neural-arithmetic-logic-units-for-stock-prediction-1905.07581"/></url>
<url><loc>https://scifaro.com/en/abs/evolving-rewards-to-automate-reinforcement-learning-1905.07628</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolving-rewards-to-automate-reinforcement-learning-1905.07628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolving-rewards-to-automate-reinforcement-learning-1905.07628"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-gromov-wasserstein-learning-for-graph-partitioning-and-matching-1905.07645</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-gromov-wasserstein-learning-for-graph-partitioning-and-matching-1905.07645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-gromov-wasserstein-learning-for-graph-partitioning-and-matching-1905.07645"/></url>
<url><loc>https://scifaro.com/en/abs/a-case-study-exploiting-neural-machine-translation-to-translate-cuda-to-opencl-1905.07653</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-case-study-exploiting-neural-machine-translation-to-translate-cuda-to-opencl-1905.07653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-case-study-exploiting-neural-machine-translation-to-translate-cuda-to-opencl-1905.07653"/></url>
<url><loc>https://scifaro.com/en/abs/taking-care-of-the-discretization-problem-a-comprehensive-study-of-the-discretization-problem-and-a-black-box-adversarial-attack-in-discrete-integer-domain-1905.07672</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taking-care-of-the-discretization-problem-a-comprehensive-study-of-the-discretization-problem-and-a-black-box-adversarial-attack-in-discrete-integer-domain-1905.07672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taking-care-of-the-discretization-problem-a-comprehensive-study-of-the-discretization-problem-and-a-black-box-adversarial-attack-in-discrete-integer-domain-1905.07672"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-model-failure-using-saliency-maps-in-autonomous-driving-systems-1905.07679</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-model-failure-using-saliency-maps-in-autonomous-driving-systems-1905.07679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-model-failure-using-saliency-maps-in-autonomous-driving-systems-1905.07679"/></url>
<url><loc>https://scifaro.com/en/abs/learning-compact-neural-networks-using-ordinary-differential-equations-as-activation-functions-1905.07685</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-compact-neural-networks-using-ordinary-differential-equations-as-activation-functions-1905.07685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-compact-neural-networks-using-ordinary-differential-equations-as-activation-functions-1905.07685"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-machine-learning-classifiers-through-diverse-counterfactual-explanations-1905.07697</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-machine-learning-classifiers-through-diverse-counterfactual-explanations-1905.07697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-machine-learning-classifiers-through-diverse-counterfactual-explanations-1905.07697"/></url>
<url><loc>https://scifaro.com/en/abs/butterfly-one-step-approach-towards-wildly-unsupervised-domain-adaptation-1905.07720</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/butterfly-one-step-approach-towards-wildly-unsupervised-domain-adaptation-1905.07720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/butterfly-one-step-approach-towards-wildly-unsupervised-domain-adaptation-1905.07720"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-learning-of-dynamical-systems-in-uncertain-environment-a-tutorial-1905.07727</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-learning-of-dynamical-systems-in-uncertain-environment-a-tutorial-1905.07727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-learning-of-dynamical-systems-in-uncertain-environment-a-tutorial-1905.07727"/></url>
<url><loc>https://scifaro.com/en/abs/online-convex-optimization-in-adversarial-markov-decision-processes-1905.07773</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-convex-optimization-in-adversarial-markov-decision-processes-1905.07773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-convex-optimization-in-adversarial-markov-decision-processes-1905.07773"/></url>
<url><loc>https://scifaro.com/en/abs/a-type-of-generalization-error-induced-by-initialization-in-deep-neural-networks-1905.07777</loc><lastmod>2020-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-type-of-generalization-error-induced-by-initialization-in-deep-neural-networks-1905.07777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-type-of-generalization-error-induced-by-initialization-in-deep-neural-networks-1905.07777"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-transfer-learning-via-winning-lottery-tickets-1905.07785</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-transfer-learning-via-winning-lottery-tickets-1905.07785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-transfer-learning-via-winning-lottery-tickets-1905.07785"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-attention-span-in-transformers-1905.07799</loc><lastmod>2019-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-attention-span-in-transformers-1905.07799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-attention-span-in-transformers-1905.07799"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-adversarial-learning-for-detecting-unseen-falls-1905.07817</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-adversarial-learning-for-detecting-unseen-falls-1905.07817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-adversarial-learning-for-detecting-unseen-falls-1905.07817"/></url>
<url><loc>https://scifaro.com/en/abs/minimal-achievable-sufficient-statistic-learning-1905.07822</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimal-achievable-sufficient-statistic-learning-1905.07822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimal-achievable-sufficient-statistic-learning-1905.07822"/></url>
<url><loc>https://scifaro.com/en/abs/shaping-the-learning-landscape-in-neural-networks-around-wide-flat-minima-1905.07833</loc><lastmod>2020-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shaping-the-learning-landscape-in-neural-networks-around-wide-flat-minima-1905.07833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shaping-the-learning-landscape-in-neural-networks-around-wide-flat-minima-1905.07833"/></url>
<url><loc>https://scifaro.com/en/abs/label-mapping-neural-networks-with-response-consolidation-for-class-incremental-learning-1905.07835</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-mapping-neural-networks-with-response-consolidation-for-class-incremental-learning-1905.07835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-mapping-neural-networks-with-response-consolidation-for-class-incremental-learning-1905.07835"/></url>
<url><loc>https://scifaro.com/en/abs/kgat-knowledge-graph-attention-network-for-recommendation-1905.07854</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kgat-knowledge-graph-attention-network-for-recommendation-1905.07854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kgat-knowledge-graph-attention-network-for-recommendation-1905.07854"/></url>
<url><loc>https://scifaro.com/en/abs/maxentropy-pursuit-variational-inference-1905.07855</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maxentropy-pursuit-variational-inference-1905.07855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maxentropy-pursuit-variational-inference-1905.07855"/></url>
<url><loc>https://scifaro.com/en/abs/certifai-counterfactual-explanations-for-robustness-transparency-interpretability-and-fairness-of-artificial-intelligence-models-1905.07857</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certifai-counterfactual-explanations-for-robustness-transparency-interpretability-and-fairness-of-artificial-intelligence-models-1905.07857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certifai-counterfactual-explanations-for-robustness-transparency-interpretability-and-fairness-of-artificial-intelligence-models-1905.07857"/></url>
<url><loc>https://scifaro.com/en/abs/perceptual-values-from-observation-1905.07861</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perceptual-values-from-observation-1905.07861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perceptual-values-from-observation-1905.07861"/></url>
<url><loc>https://scifaro.com/en/abs/learning-ensembles-of-anomaly-detectors-on-synthetic-data-1905.07892</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-ensembles-of-anomaly-detectors-on-synthetic-data-1905.07892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-ensembles-of-anomaly-detectors-on-synthetic-data-1905.07892"/></url>
<url><loc>https://scifaro.com/en/abs/demand-forecasting-techniques-for-build-to-order-lean-manufacturing-supply-chains-1905.07902</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demand-forecasting-techniques-for-build-to-order-lean-manufacturing-supply-chains-1905.07902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demand-forecasting-techniques-for-build-to-order-lean-manufacturing-supply-chains-1905.07902"/></url>
<url><loc>https://scifaro.com/en/abs/compressed-learning-of-deep-neural-networks-for-opencl-capable-embedded-systems-1905.07931</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressed-learning-of-deep-neural-networks-for-opencl-capable-embedded-systems-1905.07931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressed-learning-of-deep-neural-networks-for-opencl-capable-embedded-systems-1905.07931"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-gcn-an-efficient-algorithm-for-training-deep-and-large-graph-convolutional-networks-1905.07953</loc><lastmod>2019-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-gcn-an-efficient-algorithm-for-training-deep-and-large-graph-convolutional-networks-1905.07953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-gcn-an-efficient-algorithm-for-training-deep-and-large-graph-convolutional-networks-1905.07953"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-multiplicative-polynomial-kernel-for-volterra-series-identification-1905.07960</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-multiplicative-polynomial-kernel-for-volterra-series-identification-1905.07960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-multiplicative-polynomial-kernel-for-volterra-series-identification-1905.07960"/></url>
<url><loc>https://scifaro.com/en/abs/an-iterative-scheme-for-feature-based-positioning-using-a-weighted-dissimilarity-measure-1905.08022</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-iterative-scheme-for-feature-based-positioning-using-a-weighted-dissimilarity-measure-1905.08022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-iterative-scheme-for-feature-based-positioning-using-a-weighted-dissimilarity-measure-1905.08022"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-analysis-of-feature-selection-methods-for-biomarker-discovery-in-study-of-toxicant-treated-atlantic-cod-gadus-morhua-liver-1905.08048</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-analysis-of-feature-selection-methods-for-biomarker-discovery-in-study-of-toxicant-treated-atlantic-cod-gadus-morhua-liver-1905.08048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-analysis-of-feature-selection-methods-for-biomarker-discovery-in-study-of-toxicant-treated-atlantic-cod-gadus-morhua-liver-1905.08048"/></url>
<url><loc>https://scifaro.com/en/abs/catastrophic-forgetting-still-a-problem-for-dnns-1905.08077</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/catastrophic-forgetting-still-a-problem-for-dnns-1905.08077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/catastrophic-forgetting-still-a-problem-for-dnns-1905.08077"/></url>
<url><loc>https://scifaro.com/en/abs/be-your-own-teacher-improve-the-performance-of-convolutional-neural-networks-via-self-distillation-1905.08094</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/be-your-own-teacher-improve-the-performance-of-convolutional-neural-networks-via-self-distillation-1905.08094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/be-your-own-teacher-improve-the-performance-of-convolutional-neural-networks-via-self-distillation-1905.08094"/></url>
<url><loc>https://scifaro.com/en/abs/a-comprehensive-application-oriented-study-of-catastrophic-forgetting-in-dnns-1905.08101</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comprehensive-application-oriented-study-of-catastrophic-forgetting-in-dnns-1905.08101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comprehensive-application-oriented-study-of-catastrophic-forgetting-in-dnns-1905.08101"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-knowledge-distillation-in-deep-networks-1905.08114</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-knowledge-distillation-in-deep-networks-1905.08114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-knowledge-distillation-in-deep-networks-1905.08114"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-in-deep-neural-network-by-using-a-kalman-optimiser-1905.08119</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-in-deep-neural-network-by-using-a-kalman-optimiser-1905.08119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-in-deep-neural-network-by-using-a-kalman-optimiser-1905.08119"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-locality-low-rank-embedding-for-dimension-reduction-1905.08138</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-locality-low-rank-embedding-for-dimension-reduction-1905.08138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-locality-low-rank-embedding-for-dimension-reduction-1905.08138"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-variance-reduction-for-deep-q-learning-1905.08152</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-variance-reduction-for-deep-q-learning-1905.08152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-variance-reduction-for-deep-q-learning-1905.08152"/></url>
<url><loc>https://scifaro.com/en/abs/darc-differentiable-architecture-compression-1905.08170</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/darc-differentiable-architecture-compression-1905.08170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/darc-differentiable-architecture-compression-1905.08170"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-approach-to-robust-reinforcement-learning-1905.08188</loc><lastmod>2019-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-approach-to-robust-reinforcement-learning-1905.08188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-approach-to-robust-reinforcement-learning-1905.08188"/></url>
<url><loc>https://scifaro.com/en/abs/optimisation-of-overparametrized-sum-product-networks-1905.08196</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimisation-of-overparametrized-sum-product-networks-1905.08196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimisation-of-overparametrized-sum-product-networks-1905.08196"/></url>
<url><loc>https://scifaro.com/en/abs/best-arm-identification-in-generalized-linear-bandits-1905.08224</loc><lastmod>2019-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-arm-identification-in-generalized-linear-bandits-1905.08224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-arm-identification-in-generalized-linear-bandits-1905.08224"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-robust-transfer-learning-1905.08232</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-robust-transfer-learning-1905.08232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-robust-transfer-learning-1905.08232"/></url>
<url><loc>https://scifaro.com/en/abs/random-walks-on-hypergraphs-with-edge-dependent-vertex-weights-1905.08287</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-walks-on-hypergraphs-with-edge-dependent-vertex-weights-1905.08287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-walks-on-hypergraphs-with-edge-dependent-vertex-weights-1905.08287"/></url>
<url><loc>https://scifaro.com/en/abs/issues-concerning-realizability-of-blackwell-optimal-policies-in-reinforcement-learning-1905.08293</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/issues-concerning-realizability-of-blackwell-optimal-policies-in-reinforcement-learning-1905.08293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/issues-concerning-realizability-of-blackwell-optimal-policies-in-reinforcement-learning-1905.08293"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-network-architecture-for-learning-word-referent-associations-in-multiple-contexts-1905.08300</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-network-architecture-for-learning-word-referent-associations-in-multiple-contexts-1905.08300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-network-architecture-for-learning-word-referent-associations-in-multiple-contexts-1905.08300"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-global-dynamics-of-a-black-box-system-using-machine-learning-1905.08313</loc><lastmod>2022-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-global-dynamics-of-a-black-box-system-using-machine-learning-1905.08313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-global-dynamics-of-a-black-box-system-using-machine-learning-1905.08313"/></url>
<url><loc>https://scifaro.com/en/abs/deepcabac-context-adaptive-binary-arithmetic-coding-for-deep-neural-network-compression-1905.08318</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepcabac-context-adaptive-binary-arithmetic-coding-for-deep-neural-network-compression-1905.08318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepcabac-context-adaptive-binary-arithmetic-coding-for-deep-neural-network-compression-1905.08318"/></url>
<url><loc>https://scifaro.com/en/abs/a-causality-guided-prediction-of-the-ted-talk-ratings-from-the-speech-transcripts-using-neural-networks-1905.08392</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-causality-guided-prediction-of-the-ted-talk-ratings-from-the-speech-transcripts-using-neural-networks-1905.08392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-causality-guided-prediction-of-the-ted-talk-ratings-from-the-speech-transcripts-using-neural-networks-1905.08392"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-with-similarity-preserving-1905.08419</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-with-similarity-preserving-1905.08419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-with-similarity-preserving-1905.08419"/></url>
<url><loc>https://scifaro.com/en/abs/the-geometry-of-deep-networks-power-diagram-subdivision-1905.08443</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-geometry-of-deep-networks-power-diagram-subdivision-1905.08443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-geometry-of-deep-networks-power-diagram-subdivision-1905.08443"/></url>
<url><loc>https://scifaro.com/en/abs/spatially-constrained-spectral-clustering-algorithms-for-region-delineation-1905.08451</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatially-constrained-spectral-clustering-algorithms-for-region-delineation-1905.08451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatially-constrained-spectral-clustering-algorithms-for-region-delineation-1905.08451"/></url>
<url><loc>https://scifaro.com/en/abs/deep-signature-transforms-1905.08494</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-signature-transforms-1905.08494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-signature-transforms-1905.08494"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-bias-in-gan-based-data-augmentation-for-small-samples-1905.08495</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-bias-in-gan-based-data-augmentation-for-small-samples-1905.08495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-bias-in-gan-based-data-augmentation-for-small-samples-1905.08495"/></url>
<url><loc>https://scifaro.com/en/abs/compression-with-flows-via-local-bits-back-coding-1905.08500</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compression-with-flows-via-local-bits-back-coding-1905.08500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compression-with-flows-via-local-bits-back-coding-1905.08500"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-preference-learning-methods-for-value-driven-multiple-criteria-sorting-with-interacting-criteria-1905.08506</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-preference-learning-methods-for-value-driven-multiple-criteria-sorting-with-interacting-criteria-1905.08506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-preference-learning-methods-for-value-driven-multiple-criteria-sorting-with-interacting-criteria-1905.08506"/></url>
<url><loc>https://scifaro.com/en/abs/mutual-information-maximization-in-graph-neural-networks-1905.08509</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mutual-information-maximization-in-graph-neural-networks-1905.08509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mutual-information-maximization-in-graph-neural-networks-1905.08509"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-inverse-reinforcement-learning-1905.08513</loc><lastmod>2022-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-inverse-reinforcement-learning-1905.08513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-inverse-reinforcement-learning-1905.08513"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-stochastic-natural-gradient-method-for-one-shot-neural-architecture-search-1905.08537</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-stochastic-natural-gradient-method-for-one-shot-neural-architecture-search-1905.08537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-stochastic-natural-gradient-method-for-one-shot-neural-architecture-search-1905.08537"/></url>
<url><loc>https://scifaro.com/en/abs/universal-approximation-with-deep-narrow-networks-1905.08539</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-approximation-with-deep-narrow-networks-1905.08539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-approximation-with-deep-narrow-networks-1905.08539"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-deep-learning-architectures-for-predicting-readmission-to-the-icu-and-describing-patients-at-risk-1905.08547</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-deep-learning-architectures-for-predicting-readmission-to-the-icu-and-describing-patients-at-risk-1905.08547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-deep-learning-architectures-for-predicting-readmission-to-the-icu-and-describing-patients-at-risk-1905.08547"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-sum-product-networks-imposing-structure-on-deep-probabilistic-architectures-1905.08550</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-sum-product-networks-imposing-structure-on-deep-probabilistic-architectures-1905.08550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-sum-product-networks-imposing-structure-on-deep-probabilistic-architectures-1905.08550"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-effects-of-lx-norm-penalty-terms-in-multivariate-curve-resolution-methods-for-resolving-lc-gc-ms-data-1905.08575</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-effects-of-lx-norm-penalty-terms-in-multivariate-curve-resolution-methods-for-resolving-lc-gc-ms-data-1905.08575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-effects-of-lx-norm-penalty-terms-in-multivariate-curve-resolution-methods-for-resolving-lc-gc-ms-data-1905.08575"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-estimation-of-multivariate-dependency-1905.08594</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-estimation-of-multivariate-dependency-1905.08594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-estimation-of-multivariate-dependency-1905.08594"/></url>
<url><loc>https://scifaro.com/en/abs/constraining-the-parameters-of-high-dimensional-models-with-active-learning-1905.08628</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constraining-the-parameters-of-high-dimensional-models-with-active-learning-1905.08628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constraining-the-parameters-of-high-dimensional-models-with-active-learning-1905.08628"/></url>
<url><loc>https://scifaro.com/en/abs/joint-embedding-of-structure-and-features-via-graph-convolutional-networks-1905.08636</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-embedding-of-structure-and-features-via-graph-convolutional-networks-1905.08636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-embedding-of-structure-and-features-via-graph-convolutional-networks-1905.08636"/></url>
<url><loc>https://scifaro.com/en/abs/learning-conserved-networks-from-flows-1905.08716</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-conserved-networks-from-flows-1905.08716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-conserved-networks-from-flows-1905.08716"/></url>
<url><loc>https://scifaro.com/en/abs/factorised-neural-relational-inference-for-multi-interaction-systems-1905.08721</loc><lastmod>2019-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factorised-neural-relational-inference-for-multi-interaction-systems-1905.08721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factorised-neural-relational-inference-for-multi-interaction-systems-1905.08721"/></url>
<url><loc>https://scifaro.com/en/abs/limitation-of-capsule-networks-1905.08744</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limitation-of-capsule-networks-1905.08744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limitation-of-capsule-networks-1905.08744"/></url>
<url><loc>https://scifaro.com/en/abs/high-resolution-road-vehicle-collision-prediction-for-the-city-of-montreal-1905.08770</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-resolution-road-vehicle-collision-prediction-for-the-city-of-montreal-1905.08770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-resolution-road-vehicle-collision-prediction-for-the-city-of-montreal-1905.08770"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-entropy-regularized-multi-goal-reinforcement-learning-1905.08786</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-entropy-regularized-multi-goal-reinforcement-learning-1905.08786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-entropy-regularized-multi-goal-reinforcement-learning-1905.08786"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-hard-thresholding-for-dnn-pruning-1905.08793</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-hard-thresholding-for-dnn-pruning-1905.08793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-hard-thresholding-for-dnn-pruning-1905.08793"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-linear-and-nonlinear-channel-equalization-and-decoding-using-variational-autoencoders-1905.08795</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-linear-and-nonlinear-channel-equalization-and-decoding-using-variational-autoencoders-1905.08795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-linear-and-nonlinear-channel-equalization-and-decoding-using-variational-autoencoders-1905.08795"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-hidden-structure-in-high-dimensional-human-behavioral-data-via-tensor-factorization-1905.08846</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-hidden-structure-in-high-dimensional-human-behavioral-data-via-tensor-factorization-1905.08846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-hidden-structure-in-high-dimensional-human-behavioral-data-via-tensor-factorization-1905.08846"/></url>
<url><loc>https://scifaro.com/en/abs/recurring-concept-meta-learning-for-evolving-data-streams-1905.08848</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurring-concept-meta-learning-for-evolving-data-streams-1905.08848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurring-concept-meta-learning-for-evolving-data-streams-1905.08848"/></url>
<url><loc>https://scifaro.com/en/abs/time-smoothed-gradients-for-online-forecasting-1905.08850</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-smoothed-gradients-for-online-forecasting-1905.08850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-smoothed-gradients-for-online-forecasting-1905.08850"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-node-importance-in-knowledge-graphs-using-graph-neural-networks-1905.08865</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-node-importance-in-knowledge-graphs-using-graph-neural-networks-1905.08865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-node-importance-in-knowledge-graphs-using-graph-neural-networks-1905.08865"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-the-effects-of-confounders-in-medical-supervised-classification-problems-the-confounding-index-ci-1905.08871</loc><lastmod>2020-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-the-effects-of-confounders-in-medical-supervised-classification-problems-the-confounding-index-ci-1905.08871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-the-effects-of-confounders-in-medical-supervised-classification-problems-the-confounding-index-ci-1905.08871"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-model-selection-framework-an-application-to-airline-pricing-1905.08874</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-model-selection-framework-an-application-to-airline-pricing-1905.08874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-model-selection-framework-an-application-to-airline-pricing-1905.08874"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-machine-learning-for-scientific-insights-and-discoveries-1905.08883</loc><lastmod>2020-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-machine-learning-for-scientific-insights-and-discoveries-1905.08883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-machine-learning-for-scientific-insights-and-discoveries-1905.08883"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-domain-word-embedding-via-latent-semantic-imputation-1905.08900</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-domain-word-embedding-via-latent-semantic-imputation-1905.08900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-domain-word-embedding-via-latent-semantic-imputation-1905.08900"/></url>
<url><loc>https://scifaro.com/en/abs/geometry-of-deep-convolutional-networks-1905.08922</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometry-of-deep-convolutional-networks-1905.08922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometry-of-deep-convolutional-networks-1905.08922"/></url>
<url><loc>https://scifaro.com/en/abs/joint-information-preservation-for-heterogeneous-domain-adaptation-1905.08924</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-information-preservation-for-heterogeneous-domain-adaptation-1905.08924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-information-preservation-for-heterogeneous-domain-adaptation-1905.08924"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-reinforcement-learning-for-quadruped-locomotion-1905.08926</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-for-quadruped-locomotion-1905.08926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-for-quadruped-locomotion-1905.08926"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-confuse-generating-training-time-adversarial-data-with-auto-encoder-1905.09027</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-confuse-generating-training-time-adversarial-data-with-auto-encoder-1905.09027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-confuse-generating-training-time-adversarial-data-with-auto-encoder-1905.09027"/></url>
<url><loc>https://scifaro.com/en/abs/fine-grained-optimization-of-deep-neural-networks-1905.09054</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fine-grained-optimization-of-deep-neural-networks-1905.09054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fine-grained-optimization-of-deep-neural-networks-1905.09054"/></url>
<url><loc>https://scifaro.com/en/abs/learning-networked-exponential-families-with-network-lasso-1905.09056</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-networked-exponential-families-with-network-lasso-1905.09056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-networked-exponential-families-with-network-lasso-1905.09056"/></url>
<url><loc>https://scifaro.com/en/abs/augmenting-physiological-time-series-data-a-case-study-for-sleep-apnea-detection-1905.09068</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmenting-physiological-time-series-data-a-case-study-for-sleep-apnea-detection-1905.09068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmenting-physiological-time-series-data-a-case-study-for-sleep-apnea-detection-1905.09068"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-and-augmentation-of-social-networks-for-building-deep-learning-models-1905.09087</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-and-augmentation-of-social-networks-for-building-deep-learning-models-1905.09087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-and-augmentation-of-social-networks-for-building-deep-learning-models-1905.09087"/></url>
<url><loc>https://scifaro.com/en/abs/blind-identification-of-stochastic-block-models-from-dynamical-observations-1905.09107</loc><lastmod>2020-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blind-identification-of-stochastic-block-models-from-dynamical-observations-1905.09107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blind-identification-of-stochastic-block-models-from-dynamical-observations-1905.09107"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-the-extraction-of-deep-neural-networks-by-leveraging-public-data-1905.09165</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-the-extraction-of-deep-neural-networks-by-leveraging-public-data-1905.09165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-the-extraction-of-deep-neural-networks-by-leveraging-public-data-1905.09165"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-kernel-null-space-for-one-class-classification-1905.09173</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-kernel-null-space-for-one-class-classification-1905.09173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-kernel-null-space-for-one-class-classification-1905.09173"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-adversarial-examples-and-other-misclassifications-in-neural-networks-by-introspection-1905.09186</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-adversarial-examples-and-other-misclassifications-in-neural-networks-by-introspection-1905.09186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-adversarial-examples-and-other-misclassifications-in-neural-networks-by-introspection-1905.09186"/></url>
<url><loc>https://scifaro.com/en/abs/thresholding-graph-bandits-with-grapl-1905.09190</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thresholding-graph-bandits-with-grapl-1905.09190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thresholding-graph-bandits-with-grapl-1905.09190"/></url>
<url><loc>https://scifaro.com/en/abs/learning-robust-options-by-conditional-value-at-risk-optimization-1905.09191</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-robust-options-by-conditional-value-at-risk-optimization-1905.09191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-robust-options-by-conditional-value-at-risk-optimization-1905.09191"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-norms-for-deep-learning-with-regularized-newton-methods-1905.09201</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-norms-for-deep-learning-with-regularized-newton-methods-1905.09201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-norms-for-deep-learning-with-regularized-newton-methods-1905.09201"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-recommender-systems-for-ai-driven-biomedical-informatics-1905.09205</loc><lastmod>2020-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-recommender-systems-for-ai-driven-biomedical-informatics-1905.09205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-recommender-systems-for-ai-driven-biomedical-informatics-1905.09205"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-detecting-malicious-websites-1905.09207</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-detecting-malicious-websites-1905.09207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-detecting-malicious-websites-1905.09207"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-and-margin-of-adversarial-training-on-separable-data-1905.09209</loc><lastmod>2019-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-and-margin-of-adversarial-training-on-separable-data-1905.09209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-and-margin-of-adversarial-training-on-separable-data-1905.09209"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-decision-making-under-strategic-behavior-1905.09239</loc><lastmod>2024-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-decision-making-under-strategic-behavior-1905.09239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-decision-making-under-strategic-behavior-1905.09239"/></url>
<url><loc>https://scifaro.com/en/abs/cobra-data-efficient-model-based-rl-through-unsupervised-object-discovery-and-curiosity-driven-exploration-1905.09275</loc><lastmod>2019-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cobra-data-efficient-model-based-rl-through-unsupervised-object-discovery-and-curiosity-driven-exploration-1905.09275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cobra-data-efficient-model-based-rl-through-unsupervised-object-discovery-and-curiosity-driven-exploration-1905.09275"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-wasserstein-distance-1905.09314</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-wasserstein-distance-1905.09314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-wasserstein-distance-1905.09314"/></url>
<url><loc>https://scifaro.com/en/abs/the-journey-is-the-reward-unsupervised-learning-of-influential-trajectories-1905.09334</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-journey-is-the-reward-unsupervised-learning-of-influential-trajectories-1905.09334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-journey-is-the-reward-unsupervised-learning-of-influential-trajectories-1905.09334"/></url>
<url><loc>https://scifaro.com/en/abs/imitation-learning-from-video-by-leveraging-proprioception-1905.09335</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitation-learning-from-video-by-leveraging-proprioception-1905.09335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitation-learning-from-video-by-leveraging-proprioception-1905.09335"/></url>
<url><loc>https://scifaro.com/en/abs/generative-imputation-and-stochastic-prediction-1905.09340</loc><lastmod>2020-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-imputation-and-stochastic-prediction-1905.09340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-imputation-and-stochastic-prediction-1905.09340"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-analyses-of-online-adam-algorithm-in-convex-setting-and-two-layer-relu-neural-network-1905.09356</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-analyses-of-online-adam-algorithm-in-convex-setting-and-two-layer-relu-neural-network-1905.09356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-analyses-of-online-adam-algorithm-in-convex-setting-and-two-layer-relu-neural-network-1905.09356"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-robust-extreme-learning-machine-for-multi-target-regression-1905.09368</loc><lastmod>2019-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-robust-extreme-learning-machine-for-multi-target-regression-1905.09368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-robust-extreme-learning-machine-for-multi-target-regression-1905.09368"/></url>
<url><loc>https://scifaro.com/en/abs/cognitive-model-priors-for-predicting-human-decisions-1905.09397</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cognitive-model-priors-for-predicting-human-decisions-1905.09397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cognitive-model-priors-for-predicting-human-decisions-1905.09397"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-long-range-dependence-in-language-and-user-behavior-to-improve-rnns-1905.09414</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-long-range-dependence-in-language-and-user-behavior-to-improve-rnns-1905.09414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-long-range-dependence-in-language-and-user-behavior-to-improve-rnns-1905.09414"/></url>
<url><loc>https://scifaro.com/en/abs/learning-discrete-and-continuous-factors-of-data-via-alternating-disentanglement-1905.09432</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-discrete-and-continuous-factors-of-data-via-alternating-disentanglement-1905.09432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-discrete-and-continuous-factors-of-data-via-alternating-disentanglement-1905.09432"/></url>
<url><loc>https://scifaro.com/en/abs/fibinet-combining-feature-importance-and-bilinear-feature-interaction-for-click-through-rate-prediction-1905.09433</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fibinet-combining-feature-importance-and-bilinear-feature-interaction-for-click-through-rate-prediction-1905.09433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fibinet-combining-feature-importance-and-bilinear-feature-interaction-for-click-through-rate-prediction-1905.09433"/></url>
<url><loc>https://scifaro.com/en/abs/matcha-speeding-up-decentralized-sgd-via-matching-decomposition-sampling-1905.09435</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matcha-speeding-up-decentralized-sgd-via-matching-decomposition-sampling-1905.09435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matcha-speeding-up-decentralized-sgd-via-matching-decomposition-sampling-1905.09435"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-with-cascade-nonlinear-additive-noise-models-1905.09442</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-with-cascade-nonlinear-additive-noise-models-1905.09442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-with-cascade-nonlinear-additive-noise-models-1905.09442"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-structural-sparsity-of-deep-networks-via-inverse-scale-spaces-1905.09449</loc><lastmod>2022-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-structural-sparsity-of-deep-networks-via-inverse-scale-spaces-1905.09449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-structural-sparsity-of-deep-networks-via-inverse-scale-spaces-1905.09449"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-model-patching-a-parameter-efficient-variational-bayesian-neural-network-1905.09453</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-model-patching-a-parameter-efficient-variational-bayesian-neural-network-1905.09453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-model-patching-a-parameter-efficient-variational-bayesian-neural-network-1905.09453"/></url>
<url><loc>https://scifaro.com/en/abs/combine-ppo-with-nes-to-improve-exploration-1905.09492</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combine-ppo-with-nes-to-improve-exploration-1905.09492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combine-ppo-with-nes-to-improve-exploration-1905.09492"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-uncertainty-in-deep-learning-for-selective-classification-1905.09509</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-uncertainty-in-deep-learning-for-selective-classification-1905.09509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-uncertainty-in-deep-learning-for-selective-classification-1905.09509"/></url>
<url><loc>https://scifaro.com/en/abs/combination-of-linear-classifiers-using-score-function-analysis-of-possible-combination-strategies-1905.09522</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combination-of-linear-classifiers-using-score-function-analysis-of-possible-combination-strategies-1905.09522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combination-of-linear-classifiers-using-score-function-analysis-of-possible-combination-strategies-1905.09522"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-annotation-of-images-with-two-alternative-forced-choice-metric-learning-1905.09523</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-annotation-of-images-with-two-alternative-forced-choice-metric-learning-1905.09523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-annotation-of-images-with-two-alternative-forced-choice-metric-learning-1905.09523"/></url>
<url><loc>https://scifaro.com/en/abs/mr-gnn-multi-resolution-and-dual-graph-neural-network-for-predicting-structured-entity-interactions-1905.09558</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mr-gnn-multi-resolution-and-dual-graph-neural-network-for-predicting-structured-entity-interactions-1905.09558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mr-gnn-multi-resolution-and-dual-graph-neural-network-for-predicting-structured-entity-interactions-1905.09558"/></url>
<url><loc>https://scifaro.com/en/abs/binary-classification-with-bounded-abstention-rate-1905.09561</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-classification-with-bounded-abstention-rate-1905.09561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-classification-with-bounded-abstention-rate-1905.09561"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-value-functions-1905.09562</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-value-functions-1905.09562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-value-functions-1905.09562"/></url>
<url><loc>https://scifaro.com/en/abs/fire-now-fire-later-alarm-based-systems-for-prescriptive-process-monitoring-1905.09568</loc><lastmod>2020-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fire-now-fire-later-alarm-based-systems-for-prescriptive-process-monitoring-1905.09568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fire-now-fire-later-alarm-based-systems-for-prescriptive-process-monitoring-1905.09568"/></url>
<url><loc>https://scifaro.com/en/abs/gravity-inspired-graph-autoencoders-for-directed-link-prediction-1905.09570</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gravity-inspired-graph-autoencoders-for-directed-link-prediction-1905.09570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gravity-inspired-graph-autoencoders-for-directed-link-prediction-1905.09570"/></url>
<url><loc>https://scifaro.com/en/abs/glioma-grade-prediction-using-wavelet-scattering-based-radiomics-1905.09589</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/glioma-grade-prediction-using-wavelet-scattering-based-radiomics-1905.09589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/glioma-grade-prediction-using-wavelet-scattering-based-radiomics-1905.09589"/></url>
<url><loc>https://scifaro.com/en/abs/non-monotone-dr-submodular-maximization-approximation-and-regret-guarantees-1905.09595</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-monotone-dr-submodular-maximization-approximation-and-regret-guarantees-1905.09595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-monotone-dr-submodular-maximization-approximation-and-regret-guarantees-1905.09595"/></url>
<url><loc>https://scifaro.com/en/abs/tucker-decomposition-network-expressive-power-and-comparison-1905.09635</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tucker-decomposition-network-expressive-power-and-comparison-1905.09635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tucker-decomposition-network-expressive-power-and-comparison-1905.09635"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-risk-and-uncertainty-in-deep-reinforcement-learning-1905.09638</loc><lastmod>2020-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-risk-and-uncertainty-in-deep-reinforcement-learning-1905.09638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-risk-and-uncertainty-in-deep-reinforcement-learning-1905.09638"/></url>
<url><loc>https://scifaro.com/en/abs/new-methods-for-svm-feature-selection-1905.09653</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-methods-for-svm-feature-selection-1905.09653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-methods-for-svm-feature-selection-1905.09653"/></url>
<url><loc>https://scifaro.com/en/abs/pruning-aware-merging-for-efficient-multitask-inference-1905.09676</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pruning-aware-merging-for-efficient-multitask-inference-1905.09676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pruning-aware-merging-for-efficient-multitask-inference-1905.09676"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-invariance-in-spectral-complexity-based-generalization-bounds-1905.09677</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-invariance-in-spectral-complexity-based-generalization-bounds-1905.09677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-invariance-in-spectral-complexity-based-generalization-bounds-1905.09677"/></url>
<url><loc>https://scifaro.com/en/abs/deep-bo-for-hyperparameter-optimization-of-deep-networks-1905.09680</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-bo-for-hyperparameter-optimization-of-deep-networks-1905.09680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-bo-for-hyperparameter-optimization-of-deep-networks-1905.09680"/></url>
<url><loc>https://scifaro.com/en/abs/from-semantics-to-execution-integrating-action-planning-with-reinforcement-learning-for-robotic-causal-problem-solving-1905.09683</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-semantics-to-execution-integrating-action-planning-with-reinforcement-learning-for-robotic-causal-problem-solving-1905.09683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-semantics-to-execution-integrating-action-planning-with-reinforcement-learning-for-robotic-causal-problem-solving-1905.09683"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-learning-of-generative-adversarial-networks-from-non-iid-data-1905.09684</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-learning-of-generative-adversarial-networks-from-non-iid-data-1905.09684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-learning-of-generative-adversarial-networks-from-non-iid-data-1905.09684"/></url>
<url><loc>https://scifaro.com/en/abs/the-convolutional-tsetlin-machine-1905.09688</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-convolutional-tsetlin-machine-1905.09688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-convolutional-tsetlin-machine-1905.09688"/></url>
<url><loc>https://scifaro.com/en/abs/fully-neural-network-based-model-for-general-temporal-point-processes-1905.09690</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-neural-network-based-model-for-general-temporal-point-processes-1905.09690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-neural-network-based-model-for-general-temporal-point-processes-1905.09690"/></url>
<url><loc>https://scifaro.com/en/abs/action-assembly-sparse-imitation-learning-for-text-based-games-with-combinatorial-action-spaces-1905.09700</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/action-assembly-sparse-imitation-learning-for-text-based-games-with-combinatorial-action-spaces-1905.09700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/action-assembly-sparse-imitation-learning-for-text-based-games-with-combinatorial-action-spaces-1905.09700"/></url>
<url><loc>https://scifaro.com/en/abs/unknown-mixing-times-in-apprenticeship-and-reinforcement-learning-1905.09704</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unknown-mixing-times-in-apprenticeship-and-reinforcement-learning-1905.09704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unknown-mixing-times-in-apprenticeship-and-reinforcement-learning-1905.09704"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-reinforcement-learning-in-contextual-mdps-1905.09710</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-in-contextual-mdps-1905.09710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-in-contextual-mdps-1905.09710"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-dnn-training-in-wireless-federated-edge-learning-systems-1905.09712</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-dnn-training-in-wireless-federated-edge-learning-systems-1905.09712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-dnn-training-in-wireless-federated-edge-learning-systems-1905.09712"/></url>
<url><loc>https://scifaro.com/en/abs/meta-gnn-on-few-shot-node-classification-in-graph-meta-learning-1905.09718</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-gnn-on-few-shot-node-classification-in-graph-meta-learning-1905.09718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-gnn-on-few-shot-node-classification-in-graph-meta-learning-1905.09718"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-robust-distillation-1905.09747</loc><lastmod>2020-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-robust-distillation-1905.09747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-robust-distillation-1905.09747"/></url>
<url><loc>https://scifaro.com/en/abs/glee-geometric-laplacian-eigenmap-embedding-1905.09763</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/glee-geometric-laplacian-eigenmap-embedding-1905.09763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/glee-geometric-laplacian-eigenmap-embedding-1905.09763"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-knowledge-transfer-via-adversarial-belief-matching-1905.09768</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-knowledge-transfer-via-adversarial-belief-matching-1905.09768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-knowledge-transfer-via-adversarial-belief-matching-1905.09768"/></url>
<url><loc>https://scifaro.com/en/abs/multi-service-mobile-traffic-forecasting-via-convolutional-long-short-term-memories-1905.09771</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-service-mobile-traffic-forecasting-via-convolutional-long-short-term-memories-1905.09771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-service-mobile-traffic-forecasting-via-convolutional-long-short-term-memories-1905.09771"/></url>
<url><loc>https://scifaro.com/en/abs/multi-relational-poincar-e-graph-embeddings-1905.09791</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-relational-poincar-e-graph-embeddings-1905.09791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-relational-poincar-e-graph-embeddings-1905.09791"/></url>
<url><loc>https://scifaro.com/en/abs/augmenting-correlation-structures-in-spatial-data-using-deep-generative-models-1905.09796</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmenting-correlation-structures-in-spatial-data-using-deep-generative-models-1905.09796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmenting-correlation-structures-in-spatial-data-using-deep-generative-models-1905.09796"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-adversarially-trained-convolutional-neural-networks-1905.09797</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-adversarially-trained-convolutional-neural-networks-1905.09797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-adversarially-trained-convolutional-neural-networks-1905.09797"/></url>
<url><loc>https://scifaro.com/en/abs/how-degenerate-is-the-parametrization-of-neural-networks-with-the-relu-activation-function-1905.09803</loc><lastmod>2023-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-degenerate-is-the-parametrization-of-neural-networks-with-the-relu-activation-function-1905.09803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-degenerate-is-the-parametrization-of-neural-networks-with-the-relu-activation-function-1905.09803"/></url>
<url><loc>https://scifaro.com/en/abs/mcp-learning-composable-hierarchical-control-with-multiplicative-compositional-policies-1905.09808</loc><lastmod>2019-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcp-learning-composable-hierarchical-control-with-multiplicative-compositional-policies-1905.09808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcp-learning-composable-hierarchical-control-with-multiplicative-compositional-policies-1905.09808"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-reference-classifier-with-gaussian-distribution-and-soft-confusion-matrix-applied-to-the-improving-weak-classifiers-1905.09820</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-reference-classifier-with-gaussian-distribution-and-soft-confusion-matrix-applied-to-the-improving-weak-classifiers-1905.09820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-reference-classifier-with-gaussian-distribution-and-soft-confusion-matrix-applied-to-the-improving-weak-classifiers-1905.09820"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-policy-optimization-an-alternative-approach-for-continuous-control-1905.09855</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-policy-optimization-an-alternative-approach-for-continuous-control-1905.09855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-policy-optimization-an-alternative-approach-for-continuous-control-1905.09855"/></url>
<url><loc>https://scifaro.com/en/abs/copy-this-sentence-1905.09856</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copy-this-sentence-1905.09856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copy-this-sentence-1905.09856"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-a-recurrent-neural-network-s-predictions-of-icu-mortality-risk-1905.09865</loc><lastmod>2021-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-a-recurrent-neural-network-s-predictions-of-icu-mortality-risk-1905.09865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-a-recurrent-neural-network-s-predictions-of-icu-mortality-risk-1905.09865"/></url>
<url><loc>https://scifaro.com/en/abs/thwarting-finite-difference-adversarial-attacks-with-output-randomization-1905.09871</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thwarting-finite-difference-adversarial-attacks-with-output-randomization-1905.09871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thwarting-finite-difference-adversarial-attacks-with-output-randomization-1905.09871"/></url>
<url><loc>https://scifaro.com/en/abs/selectnet-learning-to-sample-from-the-wild-for-imbalanced-data-training-1905.09872</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selectnet-learning-to-sample-from-the-wild-for-imbalanced-data-training-1905.09872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selectnet-learning-to-sample-from-the-wild-for-imbalanced-data-training-1905.09872"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-collaborative-filtering-data-sets-through-randomized-fractal-expansions-1905.09874</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-collaborative-filtering-data-sets-through-randomized-fractal-expansions-1905.09874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-collaborative-filtering-data-sets-through-randomized-fractal-expansions-1905.09874"/></url>
<url><loc>https://scifaro.com/en/abs/deep-density-ratio-estimation-for-change-point-detection-1905.09876</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-density-ratio-estimation-for-change-point-detection-1905.09876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-density-ratio-estimation-for-change-point-detection-1905.09876"/></url>
<url><loc>https://scifaro.com/en/abs/cass-cross-adversarial-source-separation-via-autoencoder-1905.09877</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cass-cross-adversarial-source-separation-via-autoencoder-1905.09877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cass-cross-adversarial-source-separation-via-autoencoder-1905.09877"/></url>
<url><loc>https://scifaro.com/en/abs/neural-stochastic-differential-equations-deep-latent-gaussian-models-in-the-diffusion-limit-1905.09883</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-stochastic-differential-equations-deep-latent-gaussian-models-in-the-diffusion-limit-1905.09883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-stochastic-differential-equations-deep-latent-gaussian-models-in-the-diffusion-limit-1905.09883"/></url>
<url><loc>https://scifaro.com/en/abs/naive-feature-selection-a-nearly-tight-convex-relaxation-for-sparse-naive-bayes-1905.09884</loc><lastmod>2025-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/naive-feature-selection-a-nearly-tight-convex-relaxation-for-sparse-naive-bayes-1905.09884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/naive-feature-selection-a-nearly-tight-convex-relaxation-for-sparse-naive-bayes-1905.09884"/></url>
<url><loc>https://scifaro.com/en/abs/a-cold-approach-to-generating-optimal-samples-1905.09885</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-cold-approach-to-generating-optimal-samples-1905.09885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-cold-approach-to-generating-optimal-samples-1905.09885"/></url>
<url><loc>https://scifaro.com/en/abs/phom-gem-persistent-homology-for-generative-models-1905.09894</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phom-gem-persistent-homology-for-generative-models-1905.09894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phom-gem-persistent-homology-for-generative-models-1905.09894"/></url>
<url><loc>https://scifaro.com/en/abs/robust-guarantees-for-learning-an-autoregressive-filter-1905.09897</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-guarantees-for-learning-an-autoregressive-filter-1905.09897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-guarantees-for-learning-an-autoregressive-filter-1905.09897"/></url>
<url><loc>https://scifaro.com/en/abs/feedback-graph-regret-bounds-for-thompson-sampling-and-ucb-1905.09898</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feedback-graph-regret-bounds-for-thompson-sampling-and-ucb-1905.09898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feedback-graph-regret-bounds-for-thompson-sampling-and-ucb-1905.09898"/></url>
<url><loc>https://scifaro.com/en/abs/blockwise-adaptivity-faster-training-and-better-generalization-in-deep-learning-1905.09899</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blockwise-adaptivity-faster-training-and-better-generalization-in-deep-learning-1905.09899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blockwise-adaptivity-faster-training-and-better-generalization-in-deep-learning-1905.09899"/></url>
<url><loc>https://scifaro.com/en/abs/cdsa-cross-dimensional-self-attention-for-multivariate-geo-tagged-time-series-imputation-1905.09904</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cdsa-cross-dimensional-self-attention-for-multivariate-geo-tagged-time-series-imputation-1905.09904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cdsa-cross-dimensional-self-attention-for-multivariate-geo-tagged-time-series-imputation-1905.09904"/></url>
<url><loc>https://scifaro.com/en/abs/neural-odes-with-stochastic-vector-field-mixtures-1905.09905</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-odes-with-stochastic-vector-field-mixtures-1905.09905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-odes-with-stochastic-vector-field-mixtures-1905.09905"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-passenger-seeking-policies-on-e-hailing-platforms-using-markov-decision-process-and-imitation-learning-1905.09906</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-passenger-seeking-policies-on-e-hailing-platforms-using-markov-decision-process-and-imitation-learning-1905.09906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-passenger-seeking-policies-on-e-hailing-platforms-using-markov-decision-process-and-imitation-learning-1905.09906"/></url>
<url><loc>https://scifaro.com/en/abs/generative-grading-near-human-level-accuracy-for-automated-feedback-on-richly-structured-problems-1905.09916</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-grading-near-human-level-accuracy-for-automated-feedback-on-richly-structured-problems-1905.09916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-grading-near-human-level-accuracy-for-automated-feedback-on-richly-structured-problems-1905.09916"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-task-adaptation-by-homoiconic-meta-mapping-1905.09950</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-task-adaptation-by-homoiconic-meta-mapping-1905.09950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-task-adaptation-by-homoiconic-meta-mapping-1905.09950"/></url>
<url><loc>https://scifaro.com/en/abs/pac-guarantees-for-cooperative-multi-agent-reinforcement-learning-with-restricted-communication-1905.09951</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-guarantees-for-cooperative-multi-agent-reinforcement-learning-with-restricted-communication-1905.09951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-guarantees-for-cooperative-multi-agent-reinforcement-learning-with-restricted-communication-1905.09951"/></url>
<url><loc>https://scifaro.com/en/abs/robust-attribution-regularization-1905.09957</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-attribution-regularization-1905.09957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-attribution-regularization-1905.09957"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-networks-for-mitigating-biases-in-machine-learning-systems-1905.09972</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-mitigating-biases-in-machine-learning-systems-1905.09972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-mitigating-biases-in-machine-learning-systems-1905.09972"/></url>
<url><loc>https://scifaro.com/en/abs/hypothesis-testing-interpretations-and-renyi-differential-privacy-1905.09982</loc><lastmod>2023-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypothesis-testing-interpretations-and-renyi-differential-privacy-1905.09982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypothesis-testing-interpretations-and-renyi-differential-privacy-1905.09982"/></url>
<url><loc>https://scifaro.com/en/abs/robust-mahalanobis-metric-learning-via-geometric-approximation-algorithms-1905.09989</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-mahalanobis-metric-learning-via-geometric-approximation-algorithms-1905.09989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-mahalanobis-metric-learning-via-geometric-approximation-algorithms-1905.09989"/></url>
<url><loc>https://scifaro.com/en/abs/fast-convergence-of-belief-propagation-to-global-optima-beyond-correlation-decay-1905.09992</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-convergence-of-belief-propagation-to-global-optima-beyond-correlation-decay-1905.09992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-convergence-of-belief-propagation-to-global-optima-beyond-correlation-decay-1905.09992"/></url>
<url><loc>https://scifaro.com/en/abs/painless-stochastic-gradient-interpolation-line-search-and-convergence-rates-1905.09997</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/painless-stochastic-gradient-interpolation-line-search-and-convergence-rates-1905.09997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/painless-stochastic-gradient-interpolation-line-search-and-convergence-rates-1905.09997"/></url>
<url><loc>https://scifaro.com/en/abs/graph-representations-for-higher-order-logic-and-theorem-proving-1905.10006</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-representations-for-higher-order-logic-and-theorem-proving-1905.10006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-representations-for-higher-order-logic-and-theorem-proving-1905.10006"/></url>
<url><loc>https://scifaro.com/en/abs/not-all-features-are-equal-feature-leveling-deep-neural-networks-for-better-interpretation-1905.10009</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/not-all-features-are-equal-feature-leveling-deep-neural-networks-for-better-interpretation-1905.10009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/not-all-features-are-equal-feature-leveling-deep-neural-networks-for-better-interpretation-1905.10009"/></url>
<url><loc>https://scifaro.com/en/abs/deep-gknock-nonlinear-group-feature-selection-with-deep-neural-network-1905.10013</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-gknock-nonlinear-group-feature-selection-with-deep-neural-network-1905.10013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-gknock-nonlinear-group-feature-selection-with-deep-neural-network-1905.10013"/></url>
<url><loc>https://scifaro.com/en/abs/a-micro-objective-perspective-of-reinforcement-learning-1905.10016</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-micro-objective-perspective-of-reinforcement-learning-1905.10016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-micro-objective-perspective-of-reinforcement-learning-1905.10016"/></url>
<url><loc>https://scifaro.com/en/abs/momentum-based-variance-reduction-in-non-convex-sgd-1905.10018</loc><lastmod>2020-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/momentum-based-variance-reduction-in-non-convex-sgd-1905.10018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/momentum-based-variance-reduction-in-non-convex-sgd-1905.10018"/></url>
<url><loc>https://scifaro.com/en/abs/neural-temporal-difference-and-q-learning-provably-converge-to-global-optima-1905.10027</loc><lastmod>2020-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-temporal-difference-and-q-learning-provably-converge-to-global-optima-1905.10027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-temporal-difference-and-q-learning-provably-converge-to-global-optima-1905.10027"/></url>
<url><loc>https://scifaro.com/en/abs/power-up-robust-graph-convolutional-network-via-graph-powering-1905.10029</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-up-robust-graph-convolutional-network-via-graph-powering-1905.10029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-up-robust-graph-convolutional-network-via-graph-powering-1905.10029"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-batch-black-box-optimization-with-deterministic-regret-bounds-1905.10041</loc><lastmod>2020-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-batch-black-box-optimization-with-deterministic-regret-bounds-1905.10041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-batch-black-box-optimization-with-deterministic-regret-bounds-1905.10041"/></url>
<url><loc>https://scifaro.com/en/abs/curriculum-loss-robust-learning-and-generalization-against-label-corruption-1905.10045</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curriculum-loss-robust-learning-and-generalization-against-label-corruption-1905.10045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curriculum-loss-robust-learning-and-generalization-against-label-corruption-1905.10045"/></url>
<url><loc>https://scifaro.com/en/abs/federated-forest-1905.10053</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-forest-1905.10053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-forest-1905.10053"/></url>
<url><loc>https://scifaro.com/en/abs/stg2seq-spatial-temporal-graph-to-sequence-model-for-multi-step-passenger-demand-forecasting-1905.10069</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stg2seq-spatial-temporal-graph-to-sequence-model-for-multi-step-passenger-demand-forecasting-1905.10069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stg2seq-spatial-temporal-graph-to-sequence-model-for-multi-step-passenger-demand-forecasting-1905.10069"/></url>
<url><loc>https://scifaro.com/en/abs/label-aware-document-representation-via-hybrid-attention-for-extreme-multi-label-text-classification-1905.10070</loc><lastmod>2019-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-aware-document-representation-via-hybrid-attention-for-extreme-multi-label-text-classification-1905.10070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-aware-document-representation-via-hybrid-attention-for-extreme-multi-label-text-classification-1905.10070"/></url>
<url><loc>https://scifaro.com/en/abs/flow-based-intrinsic-curiosity-module-1905.10071</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flow-based-intrinsic-curiosity-module-1905.10071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flow-based-intrinsic-curiosity-module-1905.10071"/></url>
<url><loc>https://scifaro.com/en/abs/training-decision-trees-as-replacement-for-convolution-layers-1905.10073</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-decision-trees-as-replacement-for-convolution-layers-1905.10073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-decision-trees-as-replacement-for-convolution-layers-1905.10073"/></url>
<url><loc>https://scifaro.com/en/abs/neuro-optimization-learning-objective-functions-using-neural-networks-1905.10079</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuro-optimization-learning-objective-functions-using-neural-networks-1905.10079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuro-optimization-learning-objective-functions-using-neural-networks-1905.10079"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-t-sne-complementary-t-sne-embeddings-through-factoring-out-prior-information-1905.10086</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-t-sne-complementary-t-sne-embeddings-through-factoring-out-prior-information-1905.10086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-t-sne-complementary-t-sne-embeddings-through-factoring-out-prior-information-1905.10086"/></url>
<url><loc>https://scifaro.com/en/abs/deep-model-predictive-control-with-online-learning-for-complex-physical-systems-1905.10094</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-model-predictive-control-with-online-learning-for-complex-physical-systems-1905.10094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-model-predictive-control-with-online-learning-for-complex-physical-systems-1905.10094"/></url>
<url><loc>https://scifaro.com/en/abs/learning-cross-domain-representation-with-multi-graph-neural-network-1905.10095</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-cross-domain-representation-with-multi-graph-neural-network-1905.10095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-cross-domain-representation-with-multi-graph-neural-network-1905.10095"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-detours-building-transport-plans-that-are-optimal-on-subspace-projections-1905.10099</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-detours-building-transport-plans-that-are-optimal-on-subspace-projections-1905.10099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-detours-building-transport-plans-that-are-optimal-on-subspace-projections-1905.10099"/></url>
<url><loc>https://scifaro.com/en/abs/hdi-forest-highest-density-interval-regression-forest-1905.10101</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hdi-forest-highest-density-interval-regression-forest-1905.10101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hdi-forest-highest-density-interval-regression-forest-1905.10101"/></url>
<url><loc>https://scifaro.com/en/abs/learning-surrogate-losses-1905.10108</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-surrogate-losses-1905.10108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-surrogate-losses-1905.10108"/></url>
<url><loc>https://scifaro.com/en/abs/continual-reinforcement-learning-in-3d-non-stationary-environments-1905.10112</loc><lastmod>2020-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-reinforcement-learning-in-3d-non-stationary-environments-1905.10112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-reinforcement-learning-in-3d-non-stationary-environments-1905.10112"/></url>
<url><loc>https://scifaro.com/en/abs/multi-kernel-correntropy-for-robust-learning-1905.10115</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-kernel-correntropy-for-robust-learning-1905.10115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-kernel-correntropy-for-robust-learning-1905.10115"/></url>
<url><loc>https://scifaro.com/en/abs/structured-compression-by-weight-encryption-for-unstructured-pruning-and-quantization-1905.10138</loc><lastmod>2020-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-compression-by-weight-encryption-for-unstructured-pruning-and-quantization-1905.10138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-compression-by-weight-encryption-for-unstructured-pruning-and-quantization-1905.10138"/></url>
<url><loc>https://scifaro.com/en/abs/fastrcaps-an-integrated-framework-for-fast-yet-accurate-training-of-capsule-networks-1905.10142</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fastrcaps-an-integrated-framework-for-fast-yet-accurate-training-of-capsule-networks-1905.10142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fastrcaps-an-integrated-framework-for-fast-yet-accurate-training-of-capsule-networks-1905.10142"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-symmetric-reward-noising-for-reinforcement-learning-1905.10144</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-symmetric-reward-noising-for-reinforcement-learning-1905.10144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-symmetric-reward-noising-for-reinforcement-learning-1905.10144"/></url>
<url><loc>https://scifaro.com/en/abs/learning-low-rank-approximation-for-cnns-1905.10145</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-low-rank-approximation-for-cnns-1905.10145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-low-rank-approximation-for-cnns-1905.10145"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-learning-dynamics-of-two-layer-nonlinear-convolutional-neural-networks-1905.10157</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-learning-dynamics-of-two-layer-nonlinear-convolutional-neural-networks-1905.10157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-learning-dynamics-of-two-layer-nonlinear-convolutional-neural-networks-1905.10157"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-shallow-networks-for-binary-classification-1905.10161</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-shallow-networks-for-binary-classification-1905.10161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-shallow-networks-for-binary-classification-1905.10161"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-network-based-on-chaotic-time-series-1905.10163</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-network-based-on-chaotic-time-series-1905.10163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-network-based-on-chaotic-time-series-1905.10163"/></url>
<url><loc>https://scifaro.com/en/abs/memorized-sparse-backpropagation-1905.10194</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memorized-sparse-backpropagation-1905.10194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memorized-sparse-backpropagation-1905.10194"/></url>
<url><loc>https://scifaro.com/en/abs/model-validation-using-mutated-training-labels-an-exploratory-study-1905.10201</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-validation-using-mutated-training-labels-an-exploratory-study-1905.10201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-validation-using-mutated-training-labels-an-exploratory-study-1905.10201"/></url>
<url><loc>https://scifaro.com/en/abs/partially-encrypted-machine-learning-using-functional-encryption-1905.10214</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partially-encrypted-machine-learning-using-functional-encryption-1905.10214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partially-encrypted-machine-learning-using-functional-encryption-1905.10214"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-classification-on-non-sparse-graphs-using-low-rank-graph-convolutional-networks-1905.10224</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-classification-on-non-sparse-graphs-using-low-rank-graph-convolutional-networks-1905.10224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-classification-on-non-sparse-graphs-using-low-rank-graph-convolutional-networks-1905.10224"/></url>
<url><loc>https://scifaro.com/en/abs/low-dimensional-statistical-manifold-embedding-of-directed-graphs-1905.10227</loc><lastmod>2020-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-dimensional-statistical-manifold-embedding-of-directed-graphs-1905.10227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-dimensional-statistical-manifold-embedding-of-directed-graphs-1905.10227"/></url>
<url><loc>https://scifaro.com/en/abs/dichotomize-and-generalize-pac-bayesian-binary-activated-deep-neural-networks-1905.10259</loc><lastmod>2020-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dichotomize-and-generalize-pac-bayesian-binary-activated-deep-neural-networks-1905.10259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dichotomize-and-generalize-pac-bayesian-binary-activated-deep-neural-networks-1905.10259"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-ratios-of-graph-neural-networks-for-combinatorial-problems-1905.10261</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-ratios-of-graph-neural-networks-for-combinatorial-problems-1905.10261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-ratios-of-graph-neural-networks-for-combinatorial-problems-1905.10261"/></url>
<url><loc>https://scifaro.com/en/abs/explicitizing-an-implicit-bias-of-the-frequency-principle-in-two-layer-neural-networks-1905.10264</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explicitizing-an-implicit-bias-of-the-frequency-principle-in-two-layer-neural-networks-1905.10264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explicitizing-an-implicit-bias-of-the-frequency-principle-in-two-layer-neural-networks-1905.10264"/></url>
<url><loc>https://scifaro.com/en/abs/loss-surface-modality-of-feed-forward-neural-network-architectures-1905.10268</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-surface-modality-of-feed-forward-neural-network-architectures-1905.10268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-surface-modality-of-feed-forward-neural-network-architectures-1905.10268"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-learn-via-self-critique-1905.10295</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-learn-via-self-critique-1905.10295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-learn-via-self-critique-1905.10295"/></url>
<url><loc>https://scifaro.com/en/abs/an-explicitly-relational-neural-network-architecture-1905.10307</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-explicitly-relational-neural-network-architecture-1905.10307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-explicitly-relational-neural-network-architecture-1905.10307"/></url>
<url><loc>https://scifaro.com/en/abs/scram-spatially-coherent-randomized-attention-maps-1905.10308</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scram-spatially-coherent-randomized-attention-maps-1905.10308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scram-spatially-coherent-randomized-attention-maps-1905.10308"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-learned-molecular-graph-inference-and-generation-1905.10310</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-learned-molecular-graph-inference-and-generation-1905.10310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-learned-molecular-graph-inference-and-generation-1905.10310"/></url>
<url><loc>https://scifaro.com/en/abs/doctor-of-crosswise-reducing-over-parametrization-in-neural-networks-1905.10324</loc><lastmod>2020-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doctor-of-crosswise-reducing-over-parametrization-in-neural-networks-1905.10324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doctor-of-crosswise-reducing-over-parametrization-in-neural-networks-1905.10324"/></url>
<url><loc>https://scifaro.com/en/abs/what-can-resnet-learn-efficiently-going-beyond-kernels-1905.10337</loc><lastmod>2020-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-can-resnet-learn-efficiently-going-beyond-kernels-1905.10337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-can-resnet-learn-efficiently-going-beyond-kernels-1905.10337"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-machine-learning-by-pipeline-synthesis-using-model-based-reinforcement-learning-and-a-grammar-1905.10345</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-machine-learning-by-pipeline-synthesis-using-model-based-reinforcement-learning-and-a-grammar-1905.10345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-machine-learning-by-pipeline-synthesis-using-model-based-reinforcement-learning-and-a-grammar-1905.10345"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-flows-invertible-generative-models-of-discrete-data-1905.10347</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-flows-invertible-generative-models-of-discrete-data-1905.10347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-flows-invertible-generative-models-of-discrete-data-1905.10347"/></url>
<url><loc>https://scifaro.com/en/abs/the-advantages-of-multiple-classes-for-reducing-overfitting-from-test-set-reuse-1905.10360</loc><lastmod>2019-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-advantages-of-multiple-classes-for-reducing-overfitting-from-test-set-reuse-1905.10360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-advantages-of-multiple-classes-for-reducing-overfitting-from-test-set-reuse-1905.10360"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-in-feature-space-matrix-bandit-kernels-and-regret-bound-1905.10389</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-in-feature-space-matrix-bandit-kernels-and-regret-bound-1905.10389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-in-feature-space-matrix-bandit-kernels-and-regret-bound-1905.10389"/></url>
<url><loc>https://scifaro.com/en/abs/leader-stochastic-gradient-descent-for-distributed-training-of-deep-learning-models-extension-1905.10395</loc><lastmod>2022-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leader-stochastic-gradient-descent-for-distributed-training-of-deep-learning-models-extension-1905.10395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leader-stochastic-gradient-descent-for-distributed-training-of-deep-learning-models-extension-1905.10395"/></url>
<url><loc>https://scifaro.com/en/abs/neural-jump-stochastic-differential-equations-1905.10403</loc><lastmod>2020-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-jump-stochastic-differential-equations-1905.10403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-jump-stochastic-differential-equations-1905.10403"/></url>
<url><loc>https://scifaro.com/en/abs/inforl-interpretable-reinforcement-learning-using-information-maximization-1905.10404</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inforl-interpretable-reinforcement-learning-using-information-maximization-1905.10404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inforl-interpretable-reinforcement-learning-using-information-maximization-1905.10404"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-shallow-networks-an-approach-for-constructing-and-training-neural-networks-1905.10409</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-shallow-networks-an-approach-for-constructing-and-training-neural-networks-1905.10409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-shallow-networks-an-approach-for-constructing-and-training-neural-networks-1905.10409"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-representations-for-multihop-inference-rules-1905.10417</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-representations-for-multihop-inference-rules-1905.10417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-representations-for-multihop-inference-rules-1905.10417"/></url>
<url><loc>https://scifaro.com/en/abs/ldsm-logarithm-depth-streaming-multi-label-decision-trees-1905.10428</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ldsm-logarithm-depth-streaming-multi-label-decision-trees-1905.10428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ldsm-logarithm-depth-streaming-multi-label-decision-trees-1905.10428"/></url>
<url><loc>https://scifaro.com/en/abs/n-beats-neural-basis-expansion-analysis-for-interpretable-time-series-forecasting-1905.10437</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/n-beats-neural-basis-expansion-analysis-for-interpretable-time-series-forecasting-1905.10437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/n-beats-neural-basis-expansion-analysis-for-interpretable-time-series-forecasting-1905.10437"/></url>
<url><loc>https://scifaro.com/en/abs/regula-sub-rosa-latent-backdoor-attacks-on-deep-neural-networks-1905.10447</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regula-sub-rosa-latent-backdoor-attacks-on-deep-neural-networks-1905.10447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regula-sub-rosa-latent-backdoor-attacks-on-deep-neural-networks-1905.10447"/></url>
<url><loc>https://scifaro.com/en/abs/additive-noise-annealing-and-approximation-properties-of-quantized-neural-networks-1905.10452</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/additive-noise-annealing-and-approximation-properties-of-quantized-neural-networks-1905.10452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/additive-noise-annealing-and-approximation-properties-of-quantized-neural-networks-1905.10452"/></url>
<url><loc>https://scifaro.com/en/abs/a-polynomial-based-approach-for-architectural-design-and-learning-with-deep-neural-networks-1905.10457</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-polynomial-based-approach-for-architectural-design-and-learning-with-deep-neural-networks-1905.10457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-polynomial-based-approach-for-architectural-design-and-learning-with-deep-neural-networks-1905.10457"/></url>
<url><loc>https://scifaro.com/en/abs/a-view-of-estimation-of-distribution-algorithms-through-the-lens-of-expectation-maximization-1905.10474</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-view-of-estimation-of-distribution-algorithms-through-the-lens-of-expectation-maximization-1905.10474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-view-of-estimation-of-distribution-algorithms-through-the-lens-of-expectation-maximization-1905.10474"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-tensorized-neural-networks-with-automatic-rank-selection-1905.10478</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-tensorized-neural-networks-with-automatic-rank-selection-1905.10478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-tensorized-neural-networks-with-automatic-rank-selection-1905.10478"/></url>
<url><loc>https://scifaro.com/en/abs/robust-learning-with-implicit-residual-networks-1905.10479</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-learning-with-implicit-residual-networks-1905.10479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-learning-with-implicit-residual-networks-1905.10479"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-sparse-gaussian-process-modulated-hawkes-process-1905.10496</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-sparse-gaussian-process-modulated-hawkes-process-1905.10496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-sparse-gaussian-process-modulated-hawkes-process-1905.10496"/></url>
<url><loc>https://scifaro.com/en/abs/fair-resource-allocation-in-federated-learning-1905.10497</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-resource-allocation-in-federated-learning-1905.10497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-resource-allocation-in-federated-learning-1905.10497"/></url>
<url><loc>https://scifaro.com/en/abs/cold-case-the-lost-mnist-digits-1905.10498</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cold-case-the-lost-mnist-digits-1905.10498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cold-case-the-lost-mnist-digits-1905.10498"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-reason-in-large-theories-without-imitation-1905.10501</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-reason-in-large-theories-without-imitation-1905.10501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-reason-in-large-theories-without-imitation-1905.10501"/></url>
<url><loc>https://scifaro.com/en/abs/a-kernel-loss-for-solving-the-bellman-equation-1905.10506</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kernel-loss-for-solving-the-bellman-equation-1905.10506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kernel-loss-for-solving-the-bellman-equation-1905.10506"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-adversarial-defense-by-k-winners-take-all-1905.10510</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-adversarial-defense-by-k-winners-take-all-1905.10510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-adversarial-defense-by-k-winners-take-all-1905.10510"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-with-contrastive-predicative-coding-1905.10514</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-with-contrastive-predicative-coding-1905.10514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-with-contrastive-predicative-coding-1905.10514"/></url>
<url><loc>https://scifaro.com/en/abs/bivariate-beta-lstm-1905.10521</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bivariate-beta-lstm-1905.10521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bivariate-beta-lstm-1905.10521"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-cell-structure-via-recursive-recurrent-neural-networks-1905.10540</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-cell-structure-via-recursive-recurrent-neural-networks-1905.10540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-cell-structure-via-recursive-recurrent-neural-networks-1905.10540"/></url>
<url><loc>https://scifaro.com/en/abs/the-variational-infomax-autoencoder-1905.10549</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-variational-infomax-autoencoder-1905.10549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-variational-infomax-autoencoder-1905.10549"/></url>
<url><loc>https://scifaro.com/en/abs/ultrametric-fitting-by-gradient-descent-1905.10566</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ultrametric-fitting-by-gradient-descent-1905.10566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ultrametric-fitting-by-gradient-descent-1905.10566"/></url>
<url><loc>https://scifaro.com/en/abs/hebbian-descent-1905.10585</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hebbian-descent-1905.10585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hebbian-descent-1905.10585"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-information-theoretic-co-clustering-for-co-occurrence-data-1905.10594</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-information-theoretic-co-clustering-for-co-occurrence-data-1905.10594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-information-theoretic-co-clustering-for-co-occurrence-data-1905.10594"/></url>
<url><loc>https://scifaro.com/en/abs/tablenet-a-multiplier-less-implementation-of-neural-networks-for-inferencing-1905.10601</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tablenet-a-multiplier-less-implementation-of-neural-networks-for-inferencing-1905.10601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tablenet-a-multiplier-less-implementation-of-neural-networks-for-inferencing-1905.10601"/></url>
<url><loc>https://scifaro.com/en/abs/average-individual-fairness-algorithms-generalization-and-experiments-1905.10607</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/average-individual-fairness-algorithms-generalization-and-experiments-1905.10607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/average-individual-fairness-algorithms-generalization-and-experiments-1905.10607"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-policies-attacking-deep-reinforcement-learning-1905.10615</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-policies-attacking-deep-reinforcement-learning-1905.10615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-policies-attacking-deep-reinforcement-learning-1905.10615"/></url>
<url><loc>https://scifaro.com/en/abs/exposure-bias-versus-self-recovery-are-distortions-really-incremental-for-autoregressive-text-generation-1905.10617</loc><lastmod>2021-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exposure-bias-versus-self-recovery-are-distortions-really-incremental-for-autoregressive-text-generation-1905.10617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exposure-bias-versus-self-recovery-are-distortions-really-incremental-for-autoregressive-text-generation-1905.10617"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-softmax-cross-entropy-loss-for-adversarial-robustness-1905.10626</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-softmax-cross-entropy-loss-for-adversarial-robustness-1905.10626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-softmax-cross-entropy-loss-for-adversarial-robustness-1905.10626"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-shared-embeddings-data-driven-regularization-of-embedding-layers-1905.10630</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-shared-embeddings-data-driven-regularization-of-embedding-layers-1905.10630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-shared-embeddings-data-driven-regularization-of-embedding-layers-1905.10630"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-markov-decision-processes-with-changing-rewards-1905.10649</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-markov-decision-processes-with-changing-rewards-1905.10649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-markov-decision-processes-with-changing-rewards-1905.10649"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithmic-framework-for-fairness-elicitation-1905.10660</loc><lastmod>2020-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithmic-framework-for-fairness-elicitation-1905.10660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithmic-framework-for-fairness-elicitation-1905.10660"/></url>
<url><loc>https://scifaro.com/en/abs/locality-promoting-representation-learning-1905.10661</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locality-promoting-representation-learning-1905.10661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locality-promoting-representation-learning-1905.10661"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-fairness-constraints-for-graph-embeddings-1905.10674</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-fairness-constraints-for-graph-embeddings-1905.10674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-fairness-constraints-for-graph-embeddings-1905.10674"/></url>
<url><loc>https://scifaro.com/en/abs/constellation-loss-improving-the-efficiency-of-deep-metric-learning-loss-functions-for-optimal-embedding-1905.10675</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constellation-loss-improving-the-efficiency-of-deep-metric-learning-loss-functions-for-optimal-embedding-1905.10675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constellation-loss-improving-the-efficiency-of-deep-metric-learning-loss-functions-for-optimal-embedding-1905.10675"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-truncated-randomized-ridge-regression-optimal-rates-and-low-noise-acceleration-1905.10680</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-truncated-randomized-ridge-regression-optimal-rates-and-low-noise-acceleration-1905.10680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-truncated-randomized-ridge-regression-optimal-rates-and-low-noise-acceleration-1905.10680"/></url>
<url><loc>https://scifaro.com/en/abs/composing-task-agnostic-policies-with-deep-reinforcement-learning-1905.10681</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composing-task-agnostic-policies-with-deep-reinforcement-learning-1905.10681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composing-task-agnostic-policies-with-deep-reinforcement-learning-1905.10681"/></url>
<url><loc>https://scifaro.com/en/abs/sherlock-a-deep-learning-approach-to-semantic-data-type-detection-1905.10688</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sherlock-a-deep-learning-approach-to-semantic-data-type-detection-1905.10688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sherlock-a-deep-learning-approach-to-semantic-data-type-detection-1905.10688"/></url>
<url><loc>https://scifaro.com/en/abs/safe-reinforcement-learning-with-nonlinear-dynamics-via-model-predictive-shielding-1905.10691</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-reinforcement-learning-with-nonlinear-dynamics-via-model-predictive-shielding-1905.10691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-reinforcement-learning-with-nonlinear-dynamics-via-model-predictive-shielding-1905.10691"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-distillation-for-ordered-top-k-attacks-1905.10695</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-distillation-for-ordered-top-k-attacks-1905.10695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-distillation-for-ordered-top-k-attacks-1905.10695"/></url>
<url><loc>https://scifaro.com/en/abs/lifelong-neural-predictive-coding-learning-cumulatively-online-without-forgetting-1905.10696</loc><lastmod>2022-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifelong-neural-predictive-coding-learning-cumulatively-online-without-forgetting-1905.10696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifelong-neural-predictive-coding-learning-cumulatively-online-without-forgetting-1905.10696"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-neural-task-adaptation-by-maximum-entropy-initialization-1905.10698</loc><lastmod>2019-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-neural-task-adaptation-by-maximum-entropy-initialization-1905.10698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-neural-task-adaptation-by-maximum-entropy-initialization-1905.10698"/></url>
<url><loc>https://scifaro.com/en/abs/image-detection-and-digit-recognition-to-solve-sudoku-as-a-constraint-satisfaction-problem-1905.10701</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/image-detection-and-digit-recognition-to-solve-sudoku-as-a-constraint-satisfaction-problem-1905.10701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/image-detection-and-digit-recognition-to-solve-sudoku-as-a-constraint-satisfaction-problem-1905.10701"/></url>
<url><loc>https://scifaro.com/en/abs/interactive-differentiable-simulation-1905.10706</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interactive-differentiable-simulation-1905.10706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interactive-differentiable-simulation-1905.10706"/></url>
<url><loc>https://scifaro.com/en/abs/demand-forecasting-from-spatiotemporal-data-with-graph-networks-and-temporal-guided-embedding-1905.10709</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demand-forecasting-from-spatiotemporal-data-with-graph-networks-and-temporal-guided-embedding-1905.10709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demand-forecasting-from-spatiotemporal-data-with-graph-networks-and-temporal-guided-embedding-1905.10709"/></url>
<url><loc>https://scifaro.com/en/abs/fixing-bias-in-reconstruction-based-anomaly-detection-with-lipschitz-discriminators-1905.10710</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixing-bias-in-reconstruction-based-anomaly-detection-with-lipschitz-discriminators-1905.10710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixing-bias-in-reconstruction-based-anomaly-detection-with-lipschitz-discriminators-1905.10710"/></url>
<url><loc>https://scifaro.com/en/abs/field-aware-calibration-a-simple-and-empirically-strong-method-for-reliable-probabilistic-predictions-1905.10713</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/field-aware-calibration-a-simple-and-empirically-strong-method-for-reliable-probabilistic-predictions-1905.10713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/field-aware-calibration-a-simple-and-empirically-strong-method-for-reliable-probabilistic-predictions-1905.10713"/></url>
<url><loc>https://scifaro.com/en/abs/dual-averaging-method-for-online-graph-structured-sparsity-1905.10714</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-averaging-method-for-online-graph-structured-sparsity-1905.10714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-averaging-method-for-online-graph-structured-sparsity-1905.10714"/></url>
<url><loc>https://scifaro.com/en/abs/graph-attention-auto-encoders-1905.10715</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-attention-auto-encoders-1905.10715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-attention-auto-encoders-1905.10715"/></url>
<url><loc>https://scifaro.com/en/abs/purifying-adversarial-perturbation-with-adversarially-trained-auto-encoders-1905.10729</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/purifying-adversarial-perturbation-with-adversarially-trained-auto-encoders-1905.10729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/purifying-adversarial-perturbation-with-adversarially-trained-auto-encoders-1905.10729"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayes-a-report-on-approaches-and-applications-1905.10744</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayes-a-report-on-approaches-and-applications-1905.10744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayes-a-report-on-approaches-and-applications-1905.10744"/></url>
<url><loc>https://scifaro.com/en/abs/viterbinet-a-deep-learning-based-viterbi-algorithm-for-symbol-detection-1905.10750</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/viterbinet-a-deep-learning-based-viterbi-algorithm-for-symbol-detection-1905.10750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/viterbinet-a-deep-learning-based-viterbi-algorithm-for-symbol-detection-1905.10750"/></url>
<url><loc>https://scifaro.com/en/abs/selective-transfer-with-reinforced-transfer-network-for-partial-domain-adaptation-1905.10756</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-transfer-with-reinforced-transfer-network-for-partial-domain-adaptation-1905.10756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-transfer-with-reinforced-transfer-network-for-partial-domain-adaptation-1905.10756"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-methods-with-block-diagonal-matrix-adaptation-1905.10757</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-methods-with-block-diagonal-matrix-adaptation-1905.10757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-methods-with-block-diagonal-matrix-adaptation-1905.10757"/></url>
<url><loc>https://scifaro.com/en/abs/darec-deep-domain-adaptation-for-cross-domain-recommendation-via-transferring-rating-patterns-1905.10760</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/darec-deep-domain-adaptation-for-cross-domain-recommendation-via-transferring-rating-patterns-1905.10760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/darec-deep-domain-adaptation-for-cross-domain-recommendation-via-transferring-rating-patterns-1905.10760"/></url>
<url><loc>https://scifaro.com/en/abs/probact-a-probabilistic-activation-function-for-deep-neural-networks-1905.10761</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probact-a-probabilistic-activation-function-for-deep-neural-networks-1905.10761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probact-a-probabilistic-activation-function-for-deep-neural-networks-1905.10761"/></url>
<url><loc>https://scifaro.com/en/abs/precision-recall-curves-using-information-divergence-frontiers-1905.10768</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/precision-recall-curves-using-information-divergence-frontiers-1905.10768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/precision-recall-curves-using-information-divergence-frontiers-1905.10768"/></url>
<url><loc>https://scifaro.com/en/abs/a-flexible-generative-framework-for-graph-based-semi-supervised-learning-1905.10769</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-flexible-generative-framework-for-graph-based-semi-supervised-learning-1905.10769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-flexible-generative-framework-for-graph-based-semi-supervised-learning-1905.10769"/></url>
<url><loc>https://scifaro.com/en/abs/hyperbolic-interaction-model-for-hierarchical-multi-label-classification-1905.10802</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperbolic-interaction-model-for-hierarchical-multi-label-classification-1905.10802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperbolic-interaction-model-for-hierarchical-multi-label-classification-1905.10802"/></url>
<url><loc>https://scifaro.com/en/abs/deep-online-learning-with-stochastic-constraints-1905.10817</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-online-learning-with-stochastic-constraints-1905.10817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-online-learning-with-stochastic-constraints-1905.10817"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-optimize-computational-resources-frugal-training-with-generalization-guarantees-1905.10819</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-optimize-computational-resources-frugal-training-with-generalization-guarantees-1905.10819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-optimize-computational-resources-frugal-training-with-generalization-guarantees-1905.10819"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-online-learning-using-lipschitz-regularized-deep-neural-networks-1905.10821</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-online-learning-using-lipschitz-regularized-deep-neural-networks-1905.10821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-online-learning-using-lipschitz-regularized-deep-neural-networks-1905.10821"/></url>
<url><loc>https://scifaro.com/en/abs/phase-transitions-in-bandits-with-switching-constraints-1905.10825</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phase-transitions-in-bandits-with-switching-constraints-1905.10825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phase-transitions-in-bandits-with-switching-constraints-1905.10825"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-over-parameterized-neural-networks-a-functional-approximation-perspective-1905.10826</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-over-parameterized-neural-networks-a-functional-approximation-perspective-1905.10826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-over-parameterized-neural-networks-a-functional-approximation-perspective-1905.10826"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-mastery-of-multiple-visual-tasks-networks-naturally-learn-to-learn-and-forget-to-forget-1905.10837</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-mastery-of-multiple-visual-tasks-networks-naturally-learn-to-learn-and-forget-to-forget-1905.10837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-mastery-of-multiple-visual-tasks-networks-naturally-learn-to-learn-and-forget-to-forget-1905.10837"/></url>
<url><loc>https://scifaro.com/en/abs/on-coresets-for-regularized-loss-minimization-1905.10845</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-coresets-for-regularized-loss-minimization-1905.10845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-coresets-for-regularized-loss-minimization-1905.10845"/></url>
<url><loc>https://scifaro.com/en/abs/let-s-agree-to-agree-neural-networks-share-classification-order-on-real-datasets-1905.10854</loc><lastmod>2023-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/let-s-agree-to-agree-neural-networks-share-classification-order-on-real-datasets-1905.10854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/let-s-agree-to-agree-neural-networks-share-classification-order-on-real-datasets-1905.10854"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-and-forecasting-in-nonstationary-environments-with-state-space-models-1905.10857</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-and-forecasting-in-nonstationary-environments-with-state-space-models-1905.10857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-and-forecasting-in-nonstationary-environments-with-state-space-models-1905.10857"/></url>
<url><loc>https://scifaro.com/en/abs/generalizable-adversarial-attacks-with-latent-variable-perturbation-modelling-1905.10864</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizable-adversarial-attacks-with-latent-variable-perturbation-modelling-1905.10864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizable-adversarial-attacks-with-latent-variable-perturbation-modelling-1905.10864"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-learning-of-sum-product-networks-1905.10884</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-learning-of-sum-product-networks-1905.10884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-learning-of-sum-product-networks-1905.10884"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-domain-adaptation-via-regularized-conditional-alignment-1905.10885</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-via-regularized-conditional-alignment-1905.10885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-via-regularized-conditional-alignment-1905.10885"/></url>
<url><loc>https://scifaro.com/en/abs/classification-accuracy-score-for-conditional-generative-models-1905.10887</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-accuracy-score-for-conditional-generative-models-1905.10887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-accuracy-score-for-conditional-generative-models-1905.10887"/></url>
<url><loc>https://scifaro.com/en/abs/ode-analysis-of-stochastic-gradient-methods-with-optimism-and-anchoring-for-minimax-problems-1905.10899</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ode-analysis-of-stochastic-gradient-methods-with-optimism-and-anchoring-for-minimax-problems-1905.10899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ode-analysis-of-stochastic-gradient-methods-with-optimism-and-anchoring-for-minimax-problems-1905.10899"/></url>
<url><loc>https://scifaro.com/en/abs/rearchitecting-classification-frameworks-for-increased-robustness-1905.10900</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rearchitecting-classification-frameworks-for-increased-robustness-1905.10900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rearchitecting-classification-frameworks-for-increased-robustness-1905.10900"/></url>
<url><loc>https://scifaro.com/en/abs/seeing-convolution-through-the-eyes-of-finite-transformation-semigroup-theory-an-abstract-algebraic-interpretation-of-convolutional-neural-networks-1905.10901</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seeing-convolution-through-the-eyes-of-finite-transformation-semigroup-theory-an-abstract-algebraic-interpretation-of-convolutional-neural-networks-1905.10901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seeing-convolution-through-the-eyes-of-finite-transformation-semigroup-theory-an-abstract-algebraic-interpretation-of-convolutional-neural-networks-1905.10901"/></url>
<url><loc>https://scifaro.com/en/abs/robust-classification-using-robust-feature-augmentation-1905.10904</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-classification-using-robust-feature-augmentation-1905.10904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-classification-using-robust-feature-augmentation-1905.10904"/></url>
<url><loc>https://scifaro.com/en/abs/non-determinism-in-neural-networks-for-adversarial-robustness-1905.10906</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-determinism-in-neural-networks-for-adversarial-robustness-1905.10906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-determinism-in-neural-networks-for-adversarial-robustness-1905.10906"/></url>
<url><loc>https://scifaro.com/en/abs/defining-quantum-neural-networks-via-quantum-time-evolution-1905.10912</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defining-quantum-neural-networks-via-quantum-time-evolution-1905.10912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defining-quantum-neural-networks-via-quantum-time-evolution-1905.10912"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-difference-learning-with-nonlinear-function-approximation-lazy-training-and-mean-field-regimes-1905.10917</loc><lastmod>2024-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-difference-learning-with-nonlinear-function-approximation-lazy-training-and-mean-field-regimes-1905.10917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-difference-learning-with-nonlinear-function-approximation-lazy-training-and-mean-field-regimes-1905.10917"/></url>
<url><loc>https://scifaro.com/en/abs/magnetoresistive-ram-for-error-resilient-xnor-nets-1905.10927</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/magnetoresistive-ram-for-error-resilient-xnor-nets-1905.10927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/magnetoresistive-ram-for-error-resilient-xnor-nets-1905.10927"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-graph-dependency-parser-1905.10930</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-graph-dependency-parser-1905.10930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-graph-dependency-parser-1905.10930"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-distributed-blockwise-momentum-sgd-with-error-feedback-1905.10936</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-distributed-blockwise-momentum-sgd-with-error-feedback-1905.10936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-distributed-blockwise-momentum-sgd-with-error-feedback-1905.10936"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-optimization-and-generalization-in-kernel-methods-1905.10943</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-optimization-and-generalization-in-kernel-methods-1905.10943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-optimization-and-generalization-in-kernel-methods-1905.10943"/></url>
<url><loc>https://scifaro.com/en/abs/identity-connections-in-residual-nets-improve-noise-stability-1905.10944</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identity-connections-in-residual-nets-improve-noise-stability-1905.10944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identity-connections-in-residual-nets-improve-noise-stability-1905.10944"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-succinct-common-representation-based-on-wyner-s-common-information-1905.10945</loc><lastmod>2022-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-succinct-common-representation-based-on-wyner-s-common-information-1905.10945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-succinct-common-representation-based-on-wyner-s-common-information-1905.10945"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-exponentially-lose-expressive-power-for-node-classification-1905.10947</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-exponentially-lose-expressive-power-for-node-classification-1905.10947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-exponentially-lose-expressive-power-for-node-classification-1905.10947"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-imitation-learning-from-observation-alone-1905.10948</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-imitation-learning-from-observation-alone-1905.10948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-imitation-learning-from-observation-alone-1905.10948"/></url>
<url><loc>https://scifaro.com/en/abs/quesnet-a-unified-representation-for-heterogeneous-test-questions-1905.10949</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quesnet-a-unified-representation-for-heterogeneous-test-questions-1905.10949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quesnet-a-unified-representation-for-heterogeneous-test-questions-1905.10949"/></url>
<url><loc>https://scifaro.com/en/abs/fobe-and-hobe-first-and-high-order-bipartite-embeddings-1905.10953</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fobe-and-hobe-first-and-high-order-bipartite-embeddings-1905.10953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fobe-and-hobe-first-and-high-order-bipartite-embeddings-1905.10953"/></url>
<url><loc>https://scifaro.com/en/abs/transcribing-content-from-structural-images-with-spotlight-mechanism-1905.10954</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transcribing-content-from-structural-images-with-spotlight-mechanism-1905.10954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transcribing-content-from-structural-images-with-spotlight-mechanism-1905.10954"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-reinforcement-learning-through-a-causal-lens-1905.10958</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-reinforcement-learning-through-a-causal-lens-1905.10958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-reinforcement-learning-through-a-causal-lens-1905.10958"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-deep-gaussian-processes-with-moments-1905.10963</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-deep-gaussian-processes-with-moments-1905.10963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-deep-gaussian-processes-with-moments-1905.10963"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-on-post-processing-methods-for-word-embeddings-1905.10971</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-on-post-processing-methods-for-word-embeddings-1905.10971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-on-post-processing-methods-for-word-embeddings-1905.10971"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-k-medoids-via-true-error-bound-and-familywise-bandits-1905.10979</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-k-medoids-via-true-error-bound-and-familywise-bandits-1905.10979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-k-medoids-via-true-error-bound-and-familywise-bandits-1905.10979"/></url>
<url><loc>https://scifaro.com/en/abs/attention-based-supply-demand-prediction-for-autonomous-vehicles-1905.10983</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-based-supply-demand-prediction-for-autonomous-vehicles-1905.10983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-based-supply-demand-prediction-for-autonomous-vehicles-1905.10983"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-route-in-similarity-graphs-1905.10987</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-route-in-similarity-graphs-1905.10987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-route-in-similarity-graphs-1905.10987"/></url>
<url><loc>https://scifaro.com/en/abs/natural-compression-for-distributed-deep-learning-1905.10988</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-compression-for-distributed-deep-learning-1905.10988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-compression-for-distributed-deep-learning-1905.10988"/></url>
<url><loc>https://scifaro.com/en/abs/edge-contraction-pooling-for-graph-neural-networks-1905.10990</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edge-contraction-pooling-for-graph-neural-networks-1905.10990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edge-contraction-pooling-for-graph-neural-networks-1905.10990"/></url>
<url><loc>https://scifaro.com/en/abs/graph-filtration-learning-1905.10996</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-filtration-learning-1905.10996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-filtration-learning-1905.10996"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-early-user-game-interactions-for-joint-estimation-of-survival-time-and-churn-probability-1905.10998</loc><lastmod>2019-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-early-user-game-interactions-for-joint-estimation-of-survival-time-and-churn-probability-1905.10998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-early-user-game-interactions-for-joint-estimation-of-survival-time-and-churn-probability-1905.10998"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-optimize-with-unsupervised-learning-training-deep-neural-networks-for-urllc-1905.11017</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-optimize-with-unsupervised-learning-training-deep-neural-networks-for-urllc-1905.11017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-optimize-with-unsupervised-learning-training-deep-neural-networks-for-urllc-1905.11017"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometric-modeling-of-occam-s-razor-in-deep-learning-1905.11027</loc><lastmod>2025-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometric-modeling-of-occam-s-razor-in-deep-learning-1905.11027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometric-modeling-of-occam-s-razor-in-deep-learning-1905.11027"/></url>
<url><loc>https://scifaro.com/en/abs/policy-search-by-target-distribution-learning-for-continuous-control-1905.11041</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-search-by-target-distribution-learning-for-continuous-control-1905.11041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-search-by-target-distribution-learning-for-continuous-control-1905.11041"/></url>
<url><loc>https://scifaro.com/en/abs/thresholding-bandit-with-optimal-aggregate-regret-1905.11046</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thresholding-bandit-with-optimal-aggregate-regret-1905.11046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thresholding-bandit-with-optimal-aggregate-regret-1905.11046"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-auto-weight-entirely-data-driven-and-highly-efficient-weighting-framework-1905.11058</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-auto-weight-entirely-data-driven-and-highly-efficient-weighting-framework-1905.11058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-auto-weight-entirely-data-driven-and-highly-efficient-weighting-framework-1905.11058"/></url>
<url><loc>https://scifaro.com/en/abs/quantization-based-regularization-for-autoencoders-1905.11062</loc><lastmod>2020-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantization-based-regularization-for-autoencoders-1905.11062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantization-based-regularization-for-autoencoders-1905.11062"/></url>
<url><loc>https://scifaro.com/en/abs/dataset2vec-learning-dataset-meta-features-1905.11063</loc><lastmod>2021-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dataset2vec-learning-dataset-meta-features-1905.11063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dataset2vec-learning-dataset-meta-features-1905.11063"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-discretize-solving-1d-scalar-conservation-laws-via-deep-reinforcement-learning-1905.11079</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-discretize-solving-1d-scalar-conservation-laws-via-deep-reinforcement-learning-1905.11079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-discretize-solving-1d-scalar-conservation-laws-via-deep-reinforcement-learning-1905.11079"/></url>
<url><loc>https://scifaro.com/en/abs/a-plug-in-method-for-representation-factorization-in-connectionist-models-1905.11088</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-plug-in-method-for-representation-factorization-in-connectionist-models-1905.11088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-plug-in-method-for-representation-factorization-in-connectionist-models-1905.11088"/></url>
<url><loc>https://scifaro.com/en/abs/a-rate-distortion-framework-for-explaining-neural-network-decisions-1905.11092</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-rate-distortion-framework-for-explaining-neural-network-decisions-1905.11092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-rate-distortion-framework-for-explaining-neural-network-decisions-1905.11092"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-dynamics-and-returns-value-function-decomposition-with-future-prediction-1905.11100</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-dynamics-and-returns-value-function-decomposition-with-future-prediction-1905.11100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-dynamics-and-returns-value-function-decomposition-with-future-prediction-1905.11100"/></url>
<url><loc>https://scifaro.com/en/abs/sqil-imitation-learning-via-reinforcement-learning-with-sparse-rewards-1905.11108</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sqil-imitation-learning-via-reinforcement-learning-with-sparse-rewards-1905.11108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sqil-imitation-learning-via-reinforcement-learning-with-sparse-rewards-1905.11108"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multiple-markov-chains-via-adaptive-allocation-1905.11128</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multiple-markov-chains-via-adaptive-allocation-1905.11128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multiple-markov-chains-via-adaptive-allocation-1905.11128"/></url>
<url><loc>https://scifaro.com/en/abs/provably-powerful-graph-networks-1905.11136</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-powerful-graph-networks-1905.11136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-powerful-graph-networks-1905.11136"/></url>
<url><loc>https://scifaro.com/en/abs/audio2face-generating-speech-face-animation-from-single-audio-with-attention-based-bidirectional-lstm-networks-1905.11142</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/audio2face-generating-speech-face-animation-from-single-audio-with-attention-based-bidirectional-lstm-networks-1905.11142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/audio2face-generating-speech-face-animation-from-single-audio-with-attention-based-bidirectional-lstm-networks-1905.11142"/></url>
<url><loc>https://scifaro.com/en/abs/radial-prediction-layer-1905.11150</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/radial-prediction-layer-1905.11150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/radial-prediction-layer-1905.11150"/></url>
<url><loc>https://scifaro.com/en/abs/model-agnostic-counterfactual-explanations-for-consequential-decisions-1905.11190</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-agnostic-counterfactual-explanations-for-consequential-decisions-1905.11190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-agnostic-counterfactual-explanations-for-consequential-decisions-1905.11190"/></url>
<url><loc>https://scifaro.com/en/abs/provable-robustness-against-all-adversarial-l-p-perturbations-for-p-geq-1-1905.11213</loc><lastmod>2020-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-robustness-against-all-adversarial-l-p-perturbations-for-p-geq-1-1905.11213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-robustness-against-all-adversarial-l-p-perturbations-for-p-geq-1-1905.11213"/></url>
<url><loc>https://scifaro.com/en/abs/induction-of-non-monotonic-rules-from-statistical-learning-models-using-high-utility-itemset-mining-1905.11226</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/induction-of-non-monotonic-rules-from-statistical-learning-models-using-high-utility-itemset-mining-1905.11226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/induction-of-non-monotonic-rules-from-statistical-learning-models-using-high-utility-itemset-mining-1905.11226"/></url>
<url><loc>https://scifaro.com/en/abs/derivative-manipulation-for-general-example-weighting-1905.11233</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/derivative-manipulation-for-general-example-weighting-1905.11233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/derivative-manipulation-for-general-example-weighting-1905.11233"/></url>
<url><loc>https://scifaro.com/en/abs/learning-by-stochastic-serializations-1905.11245</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-by-stochastic-serializations-1905.11245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-by-stochastic-serializations-1905.11245"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-conditional-density-operators-1905.11255</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-conditional-density-operators-1905.11255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-conditional-density-operators-1905.11255"/></url>
<url><loc>https://scifaro.com/en/abs/radar-based-feature-design-and-multiclass-classification-for-road-user-recognition-1905.11256</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/radar-based-feature-design-and-multiclass-classification-for-road-user-recognition-1905.11256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/radar-based-feature-design-and-multiclass-classification-for-road-user-recognition-1905.11256"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-fairness-in-stochastic-multi-armed-bandit-problem-1905.11260</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-fairness-in-stochastic-multi-armed-bandit-problem-1905.11260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-fairness-in-stochastic-multi-armed-bandit-problem-1905.11260"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-methods-with-layer-wise-adaptive-moments-for-training-of-deep-networks-1905.11286</loc><lastmod>2020-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-methods-with-layer-wise-adaptive-moments-for-training-of-deep-networks-1905.11286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-methods-with-layer-wise-adaptive-moments-for-training-of-deep-networks-1905.11286"/></url>
<url><loc>https://scifaro.com/en/abs/private-learning-implies-online-learning-an-efficient-reduction-1905.11311</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-learning-implies-online-learning-an-efficient-reduction-1905.11311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-learning-implies-online-learning-an-efficient-reduction-1905.11311"/></url>
<url><loc>https://scifaro.com/en/abs/on-approximating-dropout-noise-injection-1905.11320</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-approximating-dropout-noise-injection-1905.11320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-approximating-dropout-noise-injection-1905.11320"/></url>
<url><loc>https://scifaro.com/en/abs/fast-decomposable-submodular-function-minimization-using-constrained-total-variation-1905.11327</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-decomposable-submodular-function-minimization-using-constrained-total-variation-1905.11327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-decomposable-submodular-function-minimization-using-constrained-total-variation-1905.11327"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-and-communication-avoiding-least-angle-regression-1905.11340</loc><lastmod>2020-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-and-communication-avoiding-least-angle-regression-1905.11340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-and-communication-avoiding-least-angle-regression-1905.11340"/></url>
<url><loc>https://scifaro.com/en/abs/expression-of-fractals-through-neural-network-functions-1905.11345</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expression-of-fractals-through-neural-network-functions-1905.11345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expression-of-fractals-through-neural-network-functions-1905.11345"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-candidate-screening-under-multiple-tests-and-implications-for-fairness-1905.11361</loc><lastmod>2019-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-candidate-screening-under-multiple-tests-and-implications-for-fairness-1905.11361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-candidate-screening-under-multiple-tests-and-implications-for-fairness-1905.11361"/></url>
<url><loc>https://scifaro.com/en/abs/simple-and-effective-regularization-methods-for-training-on-noisily-labeled-data-with-generalization-guarantee-1905.11368</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-and-effective-regularization-methods-for-training-on-noisily-labeled-data-with-generalization-guarantee-1905.11368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-and-effective-regularization-methods-for-training-on-noisily-labeled-data-with-generalization-guarantee-1905.11368"/></url>
<url><loc>https://scifaro.com/en/abs/state-reification-networks-improving-generalization-by-modeling-the-distribution-of-hidden-representations-1905.11382</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-reification-networks-improving-generalization-by-modeling-the-distribution-of-hidden-representations-1905.11382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-reification-networks-improving-generalization-by-modeling-the-distribution-of-hidden-representations-1905.11382"/></url>
<url><loc>https://scifaro.com/en/abs/multi-modal-graph-interaction-for-multi-graph-convolution-network-in-urban-spatiotemporal-forecasting-1905.11395</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-modal-graph-interaction-for-multi-graph-convolution-network-in-urban-spatiotemporal-forecasting-1905.11395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-modal-graph-interaction-for-multi-graph-convolution-network-in-urban-spatiotemporal-forecasting-1905.11395"/></url>
<url><loc>https://scifaro.com/en/abs/equivalent-and-approximate-transformations-of-deep-neural-networks-1905.11428</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivalent-and-approximate-transformations-of-deep-neural-networks-1905.11428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivalent-and-approximate-transformations-of-deep-neural-networks-1905.11428"/></url>
<url><loc>https://scifaro.com/en/abs/coset-a-benchmark-for-evaluating-neural-program-embeddings-1905.11445</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coset-a-benchmark-for-evaluating-neural-program-embeddings-1905.11445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coset-a-benchmark-for-evaluating-neural-program-embeddings-1905.11445"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-precision-dnns-all-you-need-is-a-good-parametrization-1905.11452</loc><lastmod>2020-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-precision-dnns-all-you-need-is-a-good-parametrization-1905.11452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-precision-dnns-all-you-need-is-a-good-parametrization-1905.11452"/></url>
<url><loc>https://scifaro.com/en/abs/capsule-routing-via-variational-bayes-1905.11455</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capsule-routing-via-variational-bayes-1905.11455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capsule-routing-via-variational-bayes-1905.11455"/></url>
<url><loc>https://scifaro.com/en/abs/incidence-networks-for-geometric-deep-learning-1905.11460</loc><lastmod>2020-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incidence-networks-for-geometric-deep-learning-1905.11460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incidence-networks-for-geometric-deep-learning-1905.11460"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-stock-market-with-support-vector-regression-and-butterfly-optimization-algorithm-1905.11462</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-stock-market-with-support-vector-regression-and-butterfly-optimization-algorithm-1905.11462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-stock-market-with-support-vector-regression-and-butterfly-optimization-algorithm-1905.11462"/></url>
<url><loc>https://scifaro.com/en/abs/gat-generative-adversarial-training-for-adversarial-example-detection-and-robust-classification-1905.11475</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gat-generative-adversarial-training-for-adversarial-example-detection-and-robust-classification-1905.11475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gat-generative-adversarial-training-for-adversarial-example-detection-and-robust-classification-1905.11475"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-practice-reasoning-about-quantization-1905.11478</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-practice-reasoning-about-quantization-1905.11478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-practice-reasoning-about-quantization-1905.11478"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-for-dynamic-graphs-a-survey-1905.11485</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-for-dynamic-graphs-a-survey-1905.11485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-for-dynamic-graphs-a-survey-1905.11485"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-in-the-predict-then-optimize-framework-1905.11488</loc><lastmod>2022-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-in-the-predict-then-optimize-framework-1905.11488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-in-the-predict-then-optimize-framework-1905.11488"/></url>
<url><loc>https://scifaro.com/en/abs/fan-focused-attention-networks-1905.11498</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fan-focused-attention-networks-1905.11498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fan-focused-attention-networks-1905.11498"/></url>
<url><loc>https://scifaro.com/en/abs/abstraction-mechanisms-predict-generalization-in-deep-neural-networks-1905.11515</loc><lastmod>2020-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abstraction-mechanisms-predict-generalization-in-deep-neural-networks-1905.11515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abstraction-mechanisms-predict-generalization-in-deep-neural-networks-1905.11515"/></url>
<url><loc>https://scifaro.com/en/abs/universality-theorems-for-generative-models-1905.11520</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universality-theorems-for-generative-models-1905.11520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universality-theorems-for-generative-models-1905.11520"/></url>
<url><loc>https://scifaro.com/en/abs/tight-regret-bounds-for-model-based-reinforcement-learning-with-greedy-policies-1905.11527</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-regret-bounds-for-model-based-reinforcement-learning-with-greedy-policies-1905.11527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-regret-bounds-for-model-based-reinforcement-learning-with-greedy-policies-1905.11527"/></url>
<url><loc>https://scifaro.com/en/abs/improved-training-speed-accuracy-and-data-utilization-through-loss-function-optimization-1905.11528</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-training-speed-accuracy-and-data-utilization-through-loss-function-optimization-1905.11528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-training-speed-accuracy-and-data-utilization-through-loss-function-optimization-1905.11528"/></url>
<url><loc>https://scifaro.com/en/abs/structure-learning-for-neural-module-networks-1905.11532</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-learning-for-neural-module-networks-1905.11532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-learning-for-neural-module-networks-1905.11532"/></url>
<url><loc>https://scifaro.com/en/abs/ordernet-ordering-by-example-1905.11536</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ordernet-ordering-by-example-1905.11536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ordernet-ordering-by-example-1905.11536"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-estimation-of-the-inverse-hessian-by-determinantal-averaging-1905.11546</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-estimation-of-the-inverse-hessian-by-determinantal-averaging-1905.11546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-estimation-of-the-inverse-hessian-by-determinantal-averaging-1905.11546"/></url>
<url><loc>https://scifaro.com/en/abs/single-net-continual-learning-with-progressive-segmented-training-pst-1905.11550</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-net-continual-learning-with-progressive-segmented-training-pst-1905.11550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-net-continual-learning-with-progressive-segmented-training-pst-1905.11550"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-robust-learning-could-leverage-computational-hardness-1905.11564</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-robust-learning-could-leverage-computational-hardness-1905.11564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-robust-learning-could-leverage-computational-hardness-1905.11564"/></url>
<url><loc>https://scifaro.com/en/abs/amalgamating-filtered-knowledge-learning-task-customized-student-from-multi-task-teachers-1905.11569</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amalgamating-filtered-knowledge-learning-task-customized-student-from-multi-task-teachers-1905.11569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amalgamating-filtered-knowledge-learning-task-customized-student-from-multi-task-teachers-1905.11569"/></url>
<url><loc>https://scifaro.com/en/abs/towards-interpretable-sparse-graph-representation-learning-with-laplacian-pooling-1905.11577</loc><lastmod>2020-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-interpretable-sparse-graph-representation-learning-with-laplacian-pooling-1905.11577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-interpretable-sparse-graph-representation-learning-with-laplacian-pooling-1905.11577"/></url>
<url><loc>https://scifaro.com/en/abs/learning-efficient-and-effective-exploration-policies-with-counterfactual-meta-policy-1905.11583</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-efficient-and-effective-exploration-policies-with-counterfactual-meta-policy-1905.11583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-efficient-and-effective-exploration-policies-with-counterfactual-meta-policy-1905.11583"/></url>
<url><loc>https://scifaro.com/en/abs/rare-failure-prediction-via-event-matching-for-aerospace-applications-1905.11586</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rare-failure-prediction-via-event-matching-for-aerospace-applications-1905.11586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rare-failure-prediction-via-event-matching-for-aerospace-applications-1905.11586"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-semi-supervised-learning-theories-and-recent-advances-1905.11590</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-semi-supervised-learning-theories-and-recent-advances-1905.11590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-semi-supervised-learning-theories-and-recent-advances-1905.11590"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-exponentially-discounted-sum-automatic-learning-of-return-function-1905.11591</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-exponentially-discounted-sum-automatic-learning-of-return-function-1905.11591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-exponentially-discounted-sum-automatic-learning-of-return-function-1905.11591"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-wrapper-feature-selection-using-autoencoder-and-model-based-elimination-1905.11592</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-wrapper-feature-selection-using-autoencoder-and-model-based-elimination-1905.11592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-wrapper-feature-selection-using-autoencoder-and-model-based-elimination-1905.11592"/></url>
<url><loc>https://scifaro.com/en/abs/lambdaopt-learn-to-regularize-recommender-models-in-finer-levels-1905.11596</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lambdaopt-learn-to-regularize-recommender-models-in-finer-levels-1905.11596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lambdaopt-learn-to-regularize-recommender-models-in-finer-levels-1905.11596"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-algorithm-networks-for-composable-robot-learning-1905.11602</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-algorithm-networks-for-composable-robot-learning-1905.11602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-algorithm-networks-for-composable-robot-learning-1905.11602"/></url>
<url><loc>https://scifaro.com/en/abs/sgd-on-neural-networks-learns-functions-of-increasing-complexity-1905.11604</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgd-on-neural-networks-learns-functions-of-increasing-complexity-1905.11604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgd-on-neural-networks-learns-functions-of-increasing-complexity-1905.11604"/></url>
<url><loc>https://scifaro.com/en/abs/cross-lingual-knowledge-graph-alignment-via-graph-matching-neural-network-1905.11605</loc><lastmod>2019-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-lingual-knowledge-graph-alignment-via-graph-matching-neural-network-1905.11605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-lingual-knowledge-graph-alignment-via-graph-matching-neural-network-1905.11605"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-based-continual-learning-with-adaptive-regularization-1905.11614</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-based-continual-learning-with-adaptive-regularization-1905.11614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-based-continual-learning-with-adaptive-regularization-1905.11614"/></url>
<url><loc>https://scifaro.com/en/abs/polynomial-tensor-sketch-for-element-wise-function-of-low-rank-matrix-1905.11616</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polynomial-tensor-sketch-for-element-wise-function-of-low-rank-matrix-1905.11616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polynomial-tensor-sketch-for-element-wise-function-of-low-rank-matrix-1905.11616"/></url>
<url><loc>https://scifaro.com/en/abs/solving-np-hard-problems-on-graphs-with-extended-alphago-zero-1905.11623</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-np-hard-problems-on-graphs-with-extended-alphago-zero-1905.11623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-np-hard-problems-on-graphs-with-extended-alphago-zero-1905.11623"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-rugosity-regularization-via-data-augmentation-1905.11639</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-rugosity-regularization-via-data-augmentation-1905.11639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-rugosity-regularization-via-data-augmentation-1905.11639"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-and-calibrating-uncertainty-prediction-in-regression-tasks-1905.11659</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-and-calibrating-uncertainty-prediction-in-regression-tasks-1905.11659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-and-calibrating-uncertainty-prediction-in-regression-tasks-1905.11659"/></url>
<url><loc>https://scifaro.com/en/abs/compactnet-platform-aware-automatic-optimization-for-convolutional-neural-networks-1905.11669</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compactnet-platform-aware-automatic-optimization-for-convolutional-neural-networks-1905.11669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compactnet-platform-aware-automatic-optimization-for-convolutional-neural-networks-1905.11669"/></url>
<url><loc>https://scifaro.com/en/abs/gram-gauss-newton-method-learning-overparameterized-neural-networks-for-regression-problems-1905.11675</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gram-gauss-newton-method-learning-overparameterized-neural-networks-for-regression-problems-1905.11675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gram-gauss-newton-method-learning-overparameterized-neural-networks-for-regression-problems-1905.11675"/></url>
<url><loc>https://scifaro.com/en/abs/eeg-based-emotional-video-classification-via-learning-connectivity-structure-1905.11678</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eeg-based-emotional-video-classification-via-learning-connectivity-structure-1905.11678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eeg-based-emotional-video-classification-via-learning-connectivity-structure-1905.11678"/></url>
<url><loc>https://scifaro.com/en/abs/validating-the-validation-reanalyzing-a-large-scale-comparison-of-deep-learning-and-machine-learning-models-for-bioactivity-prediction-1905.11681</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/validating-the-validation-reanalyzing-a-large-scale-comparison-of-deep-learning-and-machine-learning-models-for-bioactivity-prediction-1905.11681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/validating-the-validation-reanalyzing-a-large-scale-comparison-of-deep-learning-and-machine-learning-models-for-bioactivity-prediction-1905.11681"/></url>
<url><loc>https://scifaro.com/en/abs/deep-scale-spaces-equivariance-over-scale-1905.11697</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-scale-spaces-equivariance-over-scale-1905.11697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-scale-spaces-equivariance-over-scale-1905.11697"/></url>
<url><loc>https://scifaro.com/en/abs/conditions-on-features-for-temporal-difference-like-methods-to-converge-1905.11702</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditions-on-features-for-temporal-difference-like-methods-to-converge-1905.11702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditions-on-features-for-temporal-difference-like-methods-to-converge-1905.11702"/></url>
<url><loc>https://scifaro.com/en/abs/radar-based-road-user-classification-and-novelty-detection-with-recurrent-neural-network-ensembles-1905.11703</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/radar-based-road-user-classification-and-novelty-detection-with-recurrent-neural-network-ensembles-1905.11703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/radar-based-road-user-classification-and-novelty-detection-with-recurrent-neural-network-ensembles-1905.11703"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-robustness-of-deep-neural-networks-via-adversarial-training-with-triplet-loss-1905.11713</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-robustness-of-deep-neural-networks-via-adversarial-training-with-triplet-loss-1905.11713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-robustness-of-deep-neural-networks-via-adversarial-training-with-triplet-loss-1905.11713"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-on-data-with-splot-background-subtraction-1905.11719</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-on-data-with-splot-background-subtraction-1905.11719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-on-data-with-splot-background-subtraction-1905.11719"/></url>
<url><loc>https://scifaro.com/en/abs/a-graph-theoretic-framework-of-recomputation-algorithms-for-memory-efficient-backpropagation-1905.11722</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-graph-theoretic-framework-of-recomputation-algorithms-for-memory-efficient-backpropagation-1905.11722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-graph-theoretic-framework-of-recomputation-algorithms-for-memory-efficient-backpropagation-1905.11722"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-edge-clustering-in-temporal-multigraphs-1905.11724</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-edge-clustering-in-temporal-multigraphs-1905.11724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-edge-clustering-in-temporal-multigraphs-1905.11724"/></url>
<url><loc>https://scifaro.com/en/abs/variational-information-bottleneck-for-unsupervised-clustering-deep-gaussian-mixture-embedding-1905.11741</loc><lastmod>2020-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-information-bottleneck-for-unsupervised-clustering-deep-gaussian-mixture-embedding-1905.11741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-information-bottleneck-for-unsupervised-clustering-deep-gaussian-mixture-embedding-1905.11741"/></url>
<url><loc>https://scifaro.com/en/abs/overlearning-reveals-sensitive-attributes-1905.11742</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overlearning-reveals-sensitive-attributes-1905.11742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overlearning-reveals-sensitive-attributes-1905.11742"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-time-series-forecasting-models-an-empirical-study-on-performance-estimation-methods-1905.11744</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-time-series-forecasting-models-an-empirical-study-on-performance-estimation-methods-1905.11744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-time-series-forecasting-models-an-empirical-study-on-performance-estimation-methods-1905.11744"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-extreme-classification-via-adaptive-feature-agglomeration-1905.11769</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-extreme-classification-via-adaptive-feature-agglomeration-1905.11769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-extreme-classification-via-adaptive-feature-agglomeration-1905.11769"/></url>
<url><loc>https://scifaro.com/en/abs/importance-of-user-inputs-while-using-incremental-learning-to-personalize-human-activity-recognition-models-1905.11775</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-of-user-inputs-while-using-incremental-learning-to-personalize-human-activity-recognition-models-1905.11775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-of-user-inputs-while-using-incremental-learning-to-personalize-human-activity-recognition-models-1905.11775"/></url>
<url><loc>https://scifaro.com/en/abs/putting-an-end-to-end-to-end-gradient-isolated-learning-of-representations-1905.11786</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/putting-an-end-to-end-to-end-gradient-isolated-learning-of-representations-1905.11786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/putting-an-end-to-end-to-end-gradient-isolated-learning-of-representations-1905.11786"/></url>
<url><loc>https://scifaro.com/en/abs/roi-maximization-in-stochastic-online-decision-making-1905.11797</loc><lastmod>2021-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/roi-maximization-in-stochastic-online-decision-making-1905.11797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/roi-maximization-in-stochastic-online-decision-making-1905.11797"/></url>
<url><loc>https://scifaro.com/en/abs/connections-between-mirror-descent-thompson-sampling-and-the-information-ratio-1905.11817</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/connections-between-mirror-descent-thompson-sampling-and-the-information-ratio-1905.11817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/connections-between-mirror-descent-thompson-sampling-and-the-information-ratio-1905.11817"/></url>
<url><loc>https://scifaro.com/en/abs/attacker-behaviour-profiling-using-stochastic-ensemble-of-hidden-markov-models-1905.11824</loc><lastmod>2024-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attacker-behaviour-profiling-using-stochastic-ensemble-of-hidden-markov-models-1905.11824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attacker-behaviour-profiling-using-stochastic-ensemble-of-hidden-markov-models-1905.11824"/></url>
<url><loc>https://scifaro.com/en/abs/a-graph-theoretic-additive-approximation-of-optimal-transport-1905.11830</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-graph-theoretic-additive-approximation-of-optimal-transport-1905.11830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-graph-theoretic-additive-approximation-of-optimal-transport-1905.11830"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-on-remote-user-authentication-using-behavioural-mouse-dynamics-1905.11831</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-on-remote-user-authentication-using-behavioural-mouse-dynamics-1905.11831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-on-remote-user-authentication-using-behavioural-mouse-dynamics-1905.11831"/></url>
<url><loc>https://scifaro.com/en/abs/snooping-attacks-on-deep-reinforcement-learning-1905.11832</loc><lastmod>2020-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/snooping-attacks-on-deep-reinforcement-learning-1905.11832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/snooping-attacks-on-deep-reinforcement-learning-1905.11832"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-discriminative-sparse-pca-for-com-characteristic-gene-selection-and-tumor-classification-on-multiview-biological-data-1905.11837</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-discriminative-sparse-pca-for-com-characteristic-gene-selection-and-tumor-classification-on-multiview-biological-data-1905.11837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-discriminative-sparse-pca-for-com-characteristic-gene-selection-and-tumor-classification-on-multiview-biological-data-1905.11837"/></url>
<url><loc>https://scifaro.com/en/abs/educe-explaining-model-decisions-through-unsupervised-concepts-extraction-1905.11852</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/educe-explaining-model-decisions-through-unsupervised-concepts-extraction-1905.11852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/educe-explaining-model-decisions-through-unsupervised-concepts-extraction-1905.11852"/></url>
<url><loc>https://scifaro.com/en/abs/when-can-unlabeled-data-improve-the-learning-rate-1905.11866</loc><lastmod>2022-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-can-unlabeled-data-improve-the-learning-rate-1905.11866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-can-unlabeled-data-improve-the-learning-rate-1905.11866"/></url>
<url><loc>https://scifaro.com/en/abs/interactive-teaching-algorithms-for-inverse-reinforcement-learning-1905.11867</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interactive-teaching-algorithms-for-inverse-reinforcement-learning-1905.11867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interactive-teaching-algorithms-for-inverse-reinforcement-learning-1905.11867"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-ranks-and-sorting-using-optimal-transport-1905.11885</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-ranks-and-sorting-using-optimal-transport-1905.11885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-ranks-and-sorting-using-optimal-transport-1905.11885"/></url>
<url><loc>https://scifaro.com/en/abs/on-dropout-and-nuclear-norm-regularization-1905.11887</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-dropout-and-nuclear-norm-regularization-1905.11887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-dropout-and-nuclear-norm-regularization-1905.11887"/></url>
<url><loc>https://scifaro.com/en/abs/breizhcrops-a-time-series-dataset-for-crop-type-mapping-1905.11893</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breizhcrops-a-time-series-dataset-for-crop-type-mapping-1905.11893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breizhcrops-a-time-series-dataset-for-crop-type-mapping-1905.11893"/></url>
<url><loc>https://scifaro.com/en/abs/correlation-clustering-with-adaptive-similarity-queries-1905.11902</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlation-clustering-with-adaptive-similarity-queries-1905.11902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlation-clustering-with-adaptive-similarity-queries-1905.11902"/></url>
<url><loc>https://scifaro.com/en/abs/recnets-channel-wise-recurrent-convolutional-neural-networks-1905.11910</loc><lastmod>2020-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recnets-channel-wise-recurrent-convolutional-neural-networks-1905.11910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recnets-channel-wise-recurrent-convolutional-neural-networks-1905.11910"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-neural-level-sets-1905.11911</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-neural-level-sets-1905.11911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-neural-level-sets-1905.11911"/></url>
<url><loc>https://scifaro.com/en/abs/network-deconvolution-1905.11926</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-deconvolution-1905.11926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-deconvolution-1905.11926"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-kirszbraun-extension-with-applications-to-regression-1905.11930</loc><lastmod>2022-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-kirszbraun-extension-with-applications-to-regression-1905.11930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-kirszbraun-extension-with-applications-to-regression-1905.11930"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-domain-adaptation-being-aware-of-class-relationships-1905.11931</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-domain-adaptation-being-aware-of-class-relationships-1905.11931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-domain-adaptation-being-aware-of-class-relationships-1905.11931"/></url>
<url><loc>https://scifaro.com/en/abs/efficientnet-rethinking-model-scaling-for-convolutional-neural-networks-1905.11946</loc><lastmod>2020-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficientnet-rethinking-model-scaling-for-convolutional-neural-networks-1905.11946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficientnet-rethinking-model-scaling-for-convolutional-neural-networks-1905.11946"/></url>
<url><loc>https://scifaro.com/en/abs/sublinear-update-time-randomized-algorithms-for-dynamic-graph-regression-1905.11963</loc><lastmod>2022-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sublinear-update-time-randomized-algorithms-for-dynamic-graph-regression-1905.11963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sublinear-update-time-randomized-algorithms-for-dynamic-graph-regression-1905.11963"/></url>
<url><loc>https://scifaro.com/en/abs/me-net-towards-effective-adversarial-robustness-with-matrix-estimation-1905.11971</loc><lastmod>2019-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/me-net-towards-effective-adversarial-robustness-with-matrix-estimation-1905.11971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/me-net-towards-effective-adversarial-robustness-with-matrix-estimation-1905.11971"/></url>
<url><loc>https://scifaro.com/en/abs/better-long-range-dependency-by-bootstrapping-a-mutual-information-regularizer-1905.11978</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-long-range-dependency-by-bootstrapping-a-mutual-information-regularizer-1905.11978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-long-range-dependency-by-bootstrapping-a-mutual-information-regularizer-1905.11978"/></url>
<url><loc>https://scifaro.com/en/abs/causal-confusion-in-imitation-learning-1905.11979</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-confusion-in-imitation-learning-1905.11979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-confusion-in-imitation-learning-1905.11979"/></url>
<url><loc>https://scifaro.com/en/abs/learning-portable-representations-for-high-level-planning-1905.12006</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-portable-representations-for-high-level-planning-1905.12006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-portable-representations-for-high-level-planning-1905.12006"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-markov-decision-process-framework-for-directly-learning-optimal-control-policies-1905.12009</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-markov-decision-process-framework-for-directly-learning-optimal-control-policies-1905.12009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-markov-decision-process-framework-for-directly-learning-optimal-control-policies-1905.12009"/></url>
<url><loc>https://scifaro.com/en/abs/unified-probabilistic-deep-continual-learning-through-generative-replay-and-open-set-recognition-1905.12019</loc><lastmod>2022-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-probabilistic-deep-continual-learning-through-generative-replay-and-open-set-recognition-1905.12019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-probabilistic-deep-continual-learning-through-generative-replay-and-open-set-recognition-1905.12019"/></url>
<url><loc>https://scifaro.com/en/abs/fault-sneaking-attack-a-stealthy-framework-for-misleading-deep-neural-networks-1905.12032</loc><lastmod>2025-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fault-sneaking-attack-a-stealthy-framework-for-misleading-deep-neural-networks-1905.12032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fault-sneaking-attack-a-stealthy-framework-for-misleading-deep-neural-networks-1905.12032"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-interpretable-lstm-neural-networks-over-multi-variable-data-1905.12034</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-interpretable-lstm-neural-networks-over-multi-variable-data-1905.12034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-interpretable-lstm-neural-networks-over-multi-variable-data-1905.12034"/></url>
<url><loc>https://scifaro.com/en/abs/generation-of-policy-level-explanations-for-reinforcement-learning-1905.12044</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generation-of-policy-level-explanations-for-reinforcement-learning-1905.12044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generation-of-policy-level-explanations-for-reinforcement-learning-1905.12044"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-distribution-on-the-simplex-with-auto-encoding-applications-1905.12052</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-distribution-on-the-simplex-with-auto-encoding-applications-1905.12052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-distribution-on-the-simplex-with-auto-encoding-applications-1905.12052"/></url>
<url><loc>https://scifaro.com/en/abs/non-normal-recurrent-neural-network-nnrnn-learning-long-time-dependencies-while-improving-expressivity-with-transient-dynamics-1905.12080</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-normal-recurrent-neural-network-nnrnn-learning-long-time-dependencies-while-improving-expressivity-with-transient-dynamics-1905.12080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-normal-recurrent-neural-network-nnrnn-learning-long-time-dependencies-while-improving-expressivity-with-transient-dynamics-1905.12080"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-guarantees-for-dictionary-learning-1905.12091</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-guarantees-for-dictionary-learning-1905.12091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-guarantees-for-dictionary-learning-1905.12091"/></url>
<url><loc>https://scifaro.com/en/abs/differential-privacy-has-disparate-impact-on-model-accuracy-1905.12101</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-privacy-has-disparate-impact-on-model-accuracy-1905.12101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-privacy-has-disparate-impact-on-model-accuracy-1905.12101"/></url>
<url><loc>https://scifaro.com/en/abs/certifiably-robust-interpretation-in-deep-learning-1905.12105</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certifiably-robust-interpretation-in-deep-learning-1905.12105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certifiably-robust-interpretation-in-deep-learning-1905.12105"/></url>
<url><loc>https://scifaro.com/en/abs/em-converges-for-a-mixture-of-many-linear-regressions-1905.12106</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/em-converges-for-a-mixture-of-many-linear-regressions-1905.12106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/em-converges-for-a-mixture-of-many-linear-regressions-1905.12106"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-sparse-architecture-search-for-cnns-on-resource-constrained-microcontrollers-1905.12107</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-sparse-architecture-search-for-cnns-on-resource-constrained-microcontrollers-1905.12107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-sparse-architecture-search-for-cnns-on-resource-constrained-microcontrollers-1905.12107"/></url>
<url><loc>https://scifaro.com/en/abs/harnessing-slow-dynamics-in-neuromorphic-computation-1905.12116</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harnessing-slow-dynamics-in-neuromorphic-computation-1905.12116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harnessing-slow-dynamics-in-neuromorphic-computation-1905.12116"/></url>
<url><loc>https://scifaro.com/en/abs/an-investigation-of-data-poisoning-defenses-for-online-learning-1905.12121</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-investigation-of-data-poisoning-defenses-for-online-learning-1905.12121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-investigation-of-data-poisoning-defenses-for-online-learning-1905.12121"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-moment-closure-approximations-using-dynamic-boltzmann-distributions-1905.12122</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-moment-closure-approximations-using-dynamic-boltzmann-distributions-1905.12122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-moment-closure-approximations-using-dynamic-boltzmann-distributions-1905.12122"/></url>
<url><loc>https://scifaro.com/en/abs/using-ontologies-to-improve-performance-in-massively-multi-label-prediction-models-1905.12126</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-ontologies-to-improve-performance-in-massively-multi-label-prediction-models-1905.12126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-ontologies-to-improve-performance-in-massively-multi-label-prediction-models-1905.12126"/></url>
<url><loc>https://scifaro.com/en/abs/coordinated-exploration-via-intrinsic-rewards-for-multi-agent-reinforcement-learning-1905.12127</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coordinated-exploration-via-intrinsic-rewards-for-multi-agent-reinforcement-learning-1905.12127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coordinated-exploration-via-intrinsic-rewards-for-multi-agent-reinforcement-learning-1905.12127"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-deep-kernel-learning-1905.12131</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-deep-kernel-learning-1905.12131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-deep-kernel-learning-1905.12131"/></url>
<url><loc>https://scifaro.com/en/abs/single-neuron-based-neural-networks-are-as-efficient-as-dense-deep-neural-networks-in-binary-and-multi-class-recognition-problems-1905.12135</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-neuron-based-neural-networks-are-as-efficient-as-dense-deep-neural-networks-in-binary-and-multi-class-recognition-problems-1905.12135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-neuron-based-neural-networks-are-as-efficient-as-dense-deep-neural-networks-in-binary-and-multi-class-recognition-problems-1905.12135"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-approximation-for-unconstrained-non-submodular-minimization-1905.12145</loc><lastmod>2022-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-approximation-for-unconstrained-non-submodular-minimization-1905.12145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-approximation-for-unconstrained-non-submodular-minimization-1905.12145"/></url>
<url><loc>https://scifaro.com/en/abs/satnet-bridging-deep-learning-and-logical-reasoning-using-a-differentiable-satisfiability-solver-1905.12149</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/satnet-bridging-deep-learning-and-logical-reasoning-using-a-differentiable-satisfiability-solver-1905.12149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/satnet-bridging-deep-learning-and-logical-reasoning-using-a-differentiable-satisfiability-solver-1905.12149"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-saliency-method-that-passes-the-sanity-checks-1905.12152</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-saliency-method-that-passes-the-sanity-checks-1905.12152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-saliency-method-that-passes-the-sanity-checks-1905.12152"/></url>
<url><loc>https://scifaro.com/en/abs/solving-graph-compression-via-optimal-transport-1905.12158</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-graph-compression-via-optimal-transport-1905.12158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-graph-compression-via-optimal-transport-1905.12158"/></url>
<url><loc>https://scifaro.com/en/abs/an-interactive-insight-identification-and-annotation-framework-for-power-grid-pixel-maps-using-denseu-hierarchical-vae-1905.12164</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-interactive-insight-identification-and-annotation-framework-for-power-grid-pixel-maps-using-denseu-hierarchical-vae-1905.12164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-interactive-insight-identification-and-annotation-framework-for-power-grid-pixel-maps-using-denseu-hierarchical-vae-1905.12164"/></url>
<url><loc>https://scifaro.com/en/abs/strategic-prediction-with-latent-aggregative-games-1905.12169</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strategic-prediction-with-latent-aggregative-games-1905.12169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strategic-prediction-with-latent-aggregative-games-1905.12169"/></url>
<url><loc>https://scifaro.com/en/abs/an-effective-multi-resolution-hierarchical-granular-representation-based-classifier-using-general-fuzzy-min-max-neural-network-1905.12170</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-effective-multi-resolution-hierarchical-granular-representation-based-classifier-using-general-fuzzy-min-max-neural-network-1905.12170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-effective-multi-resolution-hierarchical-granular-representation-based-classifier-using-general-fuzzy-min-max-neural-network-1905.12170"/></url>
<url><loc>https://scifaro.com/en/abs/brain-inspired-reverse-adversarial-examples-1905.12171</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/brain-inspired-reverse-adversarial-examples-1905.12171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/brain-inspired-reverse-adversarial-examples-1905.12171"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-and-recognition-of-spatiotemporal-features-through-interpretable-embedding-of-sequence-to-sequence-recurrent-neural-networks-1905.12176</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-and-recognition-of-spatiotemporal-features-through-interpretable-embedding-of-sequence-to-sequence-recurrent-neural-networks-1905.12176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-and-recognition-of-spatiotemporal-features-through-interpretable-embedding-of-sequence-to-sequence-recurrent-neural-networks-1905.12176"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-semantics-for-incremental-learning-in-multi-relational-embeddings-1905.12181</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-semantics-for-incremental-learning-in-multi-relational-embeddings-1905.12181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-semantics-for-incremental-learning-in-multi-relational-embeddings-1905.12181"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-insights-into-the-convergence-of-nonlinear-td-learning-1905.12185</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-insights-into-the-convergence-of-nonlinear-td-learning-1905.12185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-insights-into-the-convergence-of-nonlinear-td-learning-1905.12185"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-monte-carlo-bayesian-inference-via-approximating-predictive-uncertainty-over-simplex-1905.12194</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-monte-carlo-bayesian-inference-via-approximating-predictive-uncertainty-over-simplex-1905.12194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-monte-carlo-bayesian-inference-via-approximating-predictive-uncertainty-over-simplex-1905.12194"/></url>
<url><loc>https://scifaro.com/en/abs/a-topology-layer-for-machine-learning-1905.12200</loc><lastmod>2020-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-topology-layer-for-machine-learning-1905.12200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-topology-layer-for-machine-learning-1905.12200"/></url>
<url><loc>https://scifaro.com/en/abs/empirically-measuring-concentration-fundamental-limits-on-intrinsic-robustness-1905.12202</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirically-measuring-concentration-fundamental-limits-on-intrinsic-robustness-1905.12202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirically-measuring-concentration-fundamental-limits-on-intrinsic-robustness-1905.12202"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-paired-cross-modal-hashing-1905.12203</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-paired-cross-modal-hashing-1905.12203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-paired-cross-modal-hashing-1905.12203"/></url>
<url><loc>https://scifaro.com/en/abs/learning-np-hard-multi-agent-assignment-planning-using-gnn-inference-on-a-random-graph-and-provable-auction-fitted-q-learning-1905.12204</loc><lastmod>2023-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-np-hard-multi-agent-assignment-planning-using-gnn-inference-on-a-random-graph-and-provable-auction-fitted-q-learning-1905.12204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-np-hard-multi-agent-assignment-planning-using-gnn-inference-on-a-random-graph-and-provable-auction-fitted-q-learning-1905.12204"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-expressive-power-of-deep-polynomial-neural-networks-1905.12207</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-expressive-power-of-deep-polynomial-neural-networks-1905.12207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-expressive-power-of-deep-polynomial-neural-networks-1905.12207"/></url>
<url><loc>https://scifaro.com/en/abs/where-is-the-information-in-a-deep-neural-network-1905.12213</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/where-is-the-information-in-a-deep-neural-network-1905.12213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/where-is-the-information-in-a-deep-neural-network-1905.12213"/></url>
<url><loc>https://scifaro.com/en/abs/graph-dna-deep-neighborhood-aware-graph-encoding-for-collaborative-filtering-1905.12217</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-dna-deep-neighborhood-aware-graph-encoding-for-collaborative-filtering-1905.12217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-dna-deep-neighborhood-aware-graph-encoding-for-collaborative-filtering-1905.12217"/></url>
<url><loc>https://scifaro.com/en/abs/address-instance-level-label-prediction-in-multiple-instance-learning-1905.12226</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/address-instance-level-label-prediction-in-multiple-instance-learning-1905.12226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/address-instance-level-label-prediction-in-multiple-instance-learning-1905.12226"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-em-variational-inference-for-hawkes-process-1905.12251</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-em-variational-inference-for-hawkes-process-1905.12251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-em-variational-inference-for-hawkes-process-1905.12251"/></url>
<url><loc>https://scifaro.com/en/abs/instant-quantization-of-neural-networks-using-monte-carlo-methods-1905.12253</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instant-quantization-of-neural-networks-using-monte-carlo-methods-1905.12253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instant-quantization-of-neural-networks-using-monte-carlo-methods-1905.12253"/></url>
<url><loc>https://scifaro.com/en/abs/arterial-incident-duration-prediction-using-a-bi-level-framework-of-extreme-gradient-tree-boosting-1905.12254</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arterial-incident-duration-prediction-using-a-bi-level-framework-of-extreme-gradient-tree-boosting-1905.12254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arterial-incident-duration-prediction-using-a-bi-level-framework-of-extreme-gradient-tree-boosting-1905.12254"/></url>
<url><loc>https://scifaro.com/en/abs/ddp-gcn-multi-graph-convolutional-network-for-spatiotemporal-traffic-forecasting-1905.12256</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ddp-gcn-multi-graph-convolutional-network-for-spatiotemporal-traffic-forecasting-1905.12256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ddp-gcn-multi-graph-convolutional-network-for-spatiotemporal-traffic-forecasting-1905.12256"/></url>
<url><loc>https://scifaro.com/en/abs/learning-temporal-causal-sequence-relationships-from-real-time-time-series-1905.12262</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-temporal-causal-sequence-relationships-from-real-time-time-series-1905.12262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-temporal-causal-sequence-relationships-from-real-time-time-series-1905.12262"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-amplification-by-mixing-and-diffusion-mechanisms-1905.12264</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-amplification-by-mixing-and-diffusion-mechanisms-1905.12264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-amplification-by-mixing-and-diffusion-mechanisms-1905.12264"/></url>
<url><loc>https://scifaro.com/en/abs/strategies-for-pre-training-graph-neural-networks-1905.12265</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strategies-for-pre-training-graph-neural-networks-1905.12265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strategies-for-pre-training-graph-neural-networks-1905.12265"/></url>
<url><loc>https://scifaro.com/en/abs/an-inertial-newton-algorithm-for-deep-learning-1905.12278</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-inertial-newton-algorithm-for-deep-learning-1905.12278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-inertial-newton-algorithm-for-deep-learning-1905.12278"/></url>
<url><loc>https://scifaro.com/en/abs/copycat-taking-control-of-neural-policies-with-constant-attacks-1905.12282</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copycat-taking-control-of-neural-policies-with-constant-attacks-1905.12282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copycat-taking-control-of-neural-policies-with-constant-attacks-1905.12282"/></url>
<url><loc>https://scifaro.com/en/abs/from-user-independent-to-personal-human-activity-recognition-models-exploiting-the-sensors-of-a-smartphone-1905.12285</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-user-independent-to-personal-human-activity-recognition-models-exploiting-the-sensors-of-a-smartphone-1905.12285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-user-independent-to-personal-human-activity-recognition-models-exploiting-the-sensors-of-a-smartphone-1905.12285"/></url>
<url><loc>https://scifaro.com/en/abs/differential-privacy-for-multi-armed-bandits-what-is-it-and-what-is-its-cost-1905.12298</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-privacy-for-multi-armed-bandits-what-is-it-and-what-is-its-cost-1905.12298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-privacy-for-multi-armed-bandits-what-is-it-and-what-is-its-cost-1905.12298"/></url>
<url><loc>https://scifaro.com/en/abs/fusion-of-heterogeneous-earth-observation-data-for-the-classification-of-local-climate-zones-1905.12305</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fusion-of-heterogeneous-earth-observation-data-for-the-classification-of-local-climate-zones-1905.12305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fusion-of-heterogeneous-earth-observation-data-for-the-classification-of-local-climate-zones-1905.12305"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-imitation-learning-from-incomplete-demonstrations-1905.12310</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-imitation-learning-from-incomplete-demonstrations-1905.12310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-imitation-learning-from-incomplete-demonstrations-1905.12310"/></url>
<url><loc>https://scifaro.com/en/abs/g2r-bound-a-generalization-bound-for-supervised-learning-from-gan-synthetic-data-1905.12313</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/g2r-bound-a-generalization-bound-for-supervised-learning-from-gan-synthetic-data-1905.12313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/g2r-bound-a-generalization-bound-for-supervised-learning-from-gan-synthetic-data-1905.12313"/></url>
<url><loc>https://scifaro.com/en/abs/complex-valued-neural-networks-for-machine-learning-on-non-stationary-physical-data-1905.12321</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complex-valued-neural-networks-for-machine-learning-on-non-stationary-physical-data-1905.12321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complex-valued-neural-networks-for-machine-learning-on-non-stationary-physical-data-1905.12321"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-bfloat16-for-deep-learning-training-1905.12322</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-bfloat16-for-deep-learning-training-1905.12322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-bfloat16-for-deep-learning-training-1905.12322"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-precision-training-with-8-bit-floating-point-1905.12334</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-precision-training-with-8-bit-floating-point-1905.12334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-precision-training-with-8-bit-floating-point-1905.12334"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-non-linearity-in-convolutional-neural-networks-1905.12337</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-non-linearity-in-convolutional-neural-networks-1905.12337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-non-linearity-in-convolutional-neural-networks-1905.12337"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-full-connectivity-in-recurrent-neural-networks-1905.12340</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-full-connectivity-in-recurrent-neural-networks-1905.12340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-full-connectivity-in-recurrent-neural-networks-1905.12340"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-robust-rank-aggregation-against-model-misspecification-1905.12341</loc><lastmod>2023-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-robust-rank-aggregation-against-model-misspecification-1905.12341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-robust-rank-aggregation-against-model-misspecification-1905.12341"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-policy-mixture-model-for-temporal-point-processes-clustering-1905.12345</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-policy-mixture-model-for-temporal-point-processes-clustering-1905.12345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-policy-mixture-model-for-temporal-point-processes-clustering-1905.12345"/></url>
<url><loc>https://scifaro.com/en/abs/nystr-om-landmark-sampling-and-regularized-christoffel-functions-1905.12346</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nystr-om-landmark-sampling-and-regularized-christoffel-functions-1905.12346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nystr-om-landmark-sampling-and-regularized-christoffel-functions-1905.12346"/></url>
<url><loc>https://scifaro.com/en/abs/secret-semantically-enhanced-classification-of-real-world-tasks-1905.12356</loc><lastmod>2020-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secret-semantically-enhanced-classification-of-real-world-tasks-1905.12356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secret-semantically-enhanced-classification-of-real-world-tasks-1905.12356"/></url>
<url><loc>https://scifaro.com/en/abs/cascading-non-stationary-bandits-online-learning-to-rank-in-the-non-stationary-cascade-model-1905.12370</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cascading-non-stationary-bandits-online-learning-to-rank-in-the-non-stationary-cascade-model-1905.12370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cascading-non-stationary-bandits-online-learning-to-rank-in-the-non-stationary-cascade-model-1905.12370"/></url>
<url><loc>https://scifaro.com/en/abs/gru-ode-bayes-continuous-modeling-of-sporadically-observed-time-series-1905.12374</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gru-ode-bayes-continuous-modeling-of-sporadically-observed-time-series-1905.12374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gru-ode-bayes-continuous-modeling-of-sporadically-observed-time-series-1905.12374"/></url>
<url><loc>https://scifaro.com/en/abs/misleading-authorship-attribution-of-source-code-using-adversarial-learning-1905.12386</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/misleading-authorship-attribution-of-source-code-using-adversarial-learning-1905.12386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/misleading-authorship-attribution-of-source-code-using-adversarial-learning-1905.12386"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-decoupling-of-labels-in-classification-1905.12403</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-decoupling-of-labels-in-classification-1905.12403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-decoupling-of-labels-in-classification-1905.12403"/></url>
<url><loc>https://scifaro.com/en/abs/vechgrad-for-solving-accurately-complex-tensor-decomposition-1905.12413</loc><lastmod>2020-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vechgrad-for-solving-accurately-complex-tensor-decomposition-1905.12413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vechgrad-for-solving-accurately-complex-tensor-decomposition-1905.12413"/></url>
<url><loc>https://scifaro.com/en/abs/expected-tight-bounds-for-robust-training-1905.12418</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expected-tight-bounds-for-robust-training-1905.12418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expected-tight-bounds-for-robust-training-1905.12418"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-optimistic-reinforcement-learning-using-empirical-bernstein-inequalities-1905.12425</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-optimistic-reinforcement-learning-using-empirical-bernstein-inequalities-1905.12425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-optimistic-reinforcement-learning-using-empirical-bernstein-inequalities-1905.12425"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-the-interpretability-robustness-of-self-explaining-models-1905.12429</loc><lastmod>2020-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-the-interpretability-robustness-of-self-explaining-models-1905.12429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-the-interpretability-robustness-of-self-explaining-models-1905.12429"/></url>
<url><loc>https://scifaro.com/en/abs/norm-based-generalisation-bounds-for-multi-class-convolutional-neural-networks-1905.12430</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/norm-based-generalisation-bounds-for-multi-class-convolutional-neural-networks-1905.12430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/norm-based-generalisation-bounds-for-multi-class-convolutional-neural-networks-1905.12430"/></url>
<url><loc>https://scifaro.com/en/abs/generative-parameter-sampler-for-scalable-uncertainty-quantification-1905.12440</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-parameter-sampler-for-scalable-uncertainty-quantification-1905.12440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-parameter-sampler-for-scalable-uncertainty-quantification-1905.12440"/></url>
<url><loc>https://scifaro.com/en/abs/are-disentangled-representations-helpful-for-abstract-visual-reasoning-1905.12506</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-disentangled-representations-helpful-for-abstract-visual-reasoning-1905.12506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-disentangled-representations-helpful-for-abstract-visual-reasoning-1905.12506"/></url>
<url><loc>https://scifaro.com/en/abs/calibrated-surrogate-maximization-of-linear-fractional-utility-in-binary-classification-1905.12511</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrated-surrogate-maximization-of-linear-fractional-utility-in-binary-classification-1905.12511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrated-surrogate-maximization-of-linear-fractional-utility-in-binary-classification-1905.12511"/></url>
<url><loc>https://scifaro.com/en/abs/stabilizing-gans-with-soft-octave-convolutions-1905.12534</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilizing-gans-with-soft-octave-convolutions-1905.12534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilizing-gans-with-soft-octave-convolutions-1905.12534"/></url>
<url><loc>https://scifaro.com/en/abs/learning-bayesian-networks-with-low-rank-conditional-probability-tables-1905.12552</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-bayesian-networks-with-low-rank-conditional-probability-tables-1905.12552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-bayesian-networks-with-low-rank-conditional-probability-tables-1905.12552"/></url>
<url><loc>https://scifaro.com/en/abs/limitations-of-the-empirical-fisher-approximation-for-natural-gradient-descent-1905.12558</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limitations-of-the-empirical-fisher-approximation-for-natural-gradient-descent-1905.12558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limitations-of-the-empirical-fisher-approximation-for-natural-gradient-descent-1905.12558"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-equivalence-between-graph-isomorphism-testing-and-function-approximation-with-gnns-1905.12560</loc><lastmod>2023-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-equivalence-between-graph-isomorphism-testing-and-function-approximation-with-gnns-1905.12560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-equivalence-between-graph-isomorphism-testing-and-function-approximation-with-gnns-1905.12560"/></url>
<url><loc>https://scifaro.com/en/abs/mqlv-optimal-policy-of-money-management-in-retail-banking-with-q-learning-1905.12567</loc><lastmod>2019-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mqlv-optimal-policy-of-money-management-in-retail-banking-with-q-learning-1905.12567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mqlv-optimal-policy-of-money-management-in-retail-banking-with-q-learning-1905.12567"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-sparse-clients-actions-with-cpopt-net-in-the-banking-environment-1905.12568</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-sparse-clients-actions-with-cpopt-net-in-the-banking-environment-1905.12568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-sparse-clients-actions-with-cpopt-net-in-the-banking-environment-1905.12568"/></url>
<url><loc>https://scifaro.com/en/abs/model-similarity-mitigates-test-set-overuse-1905.12580</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-similarity-mitigates-test-set-overuse-1905.12580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-similarity-mitigates-test-set-overuse-1905.12580"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-representations-for-continual-learning-1905.12588</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-representations-for-continual-learning-1905.12588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-representations-for-continual-learning-1905.12588"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-causal-inference-via-inverse-probability-weighting-1905.12592</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-causal-inference-via-inverse-probability-weighting-1905.12592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-causal-inference-via-inverse-probability-weighting-1905.12592"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-deep-convolutional-neural-networks-1905.12600</loc><lastmod>2020-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-deep-convolutional-neural-networks-1905.12600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-deep-convolutional-neural-networks-1905.12600"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-model-selection-for-variational-disentangled-representation-learning-1905.12614</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-model-selection-for-variational-disentangled-representation-learning-1905.12614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-model-selection-for-variational-disentangled-representation-learning-1905.12614"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-convergence-analysis-of-stochastic-variance-reduced-policy-gradient-1905.12615</loc><lastmod>2019-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-convergence-analysis-of-stochastic-variance-reduced-policy-gradient-1905.12615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-convergence-analysis-of-stochastic-variance-reduced-policy-gradient-1905.12615"/></url>
<url><loc>https://scifaro.com/en/abs/learning-latent-state-representation-for-speeding-up-exploration-1905.12621</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-latent-state-representation-for-speeding-up-exploration-1905.12621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-latent-state-representation-for-speeding-up-exploration-1905.12621"/></url>
<url><loc>https://scifaro.com/en/abs/top-k-combinatorial-bandits-with-full-bandit-feedback-1905.12624</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/top-k-combinatorial-bandits-with-full-bandit-feedback-1905.12624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/top-k-combinatorial-bandits-with-full-bandit-feedback-1905.12624"/></url>
<url><loc>https://scifaro.com/en/abs/personalizing-human-activity-recognition-models-using-incremental-learning-1905.12628</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalizing-human-activity-recognition-models-using-incremental-learning-1905.12628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalizing-human-activity-recognition-models-using-incremental-learning-1905.12628"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-distributed-stochastic-variance-reduced-methods-without-sampling-extra-data-1905.12648</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-distributed-stochastic-variance-reduced-methods-without-sampling-extra-data-1905.12648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-distributed-stochastic-variance-reduced-methods-without-sampling-extra-data-1905.12648"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-generalization-gap-in-reparameterizable-reinforcement-learning-1905.12654</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-generalization-gap-in-reparameterizable-reinforcement-learning-1905.12654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-generalization-gap-in-reparameterizable-reinforcement-learning-1905.12654"/></url>
<url><loc>https://scifaro.com/en/abs/training-generative-adversarial-networks-from-incomplete-observations-using-factorised-discriminators-1905.12660</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-generative-adversarial-networks-from-incomplete-observations-using-factorised-discriminators-1905.12660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-generative-adversarial-networks-from-incomplete-observations-using-factorised-discriminators-1905.12660"/></url>
<url><loc>https://scifaro.com/en/abs/graph-learning-network-a-structure-learning-algorithm-1905.12665</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-learning-network-a-structure-learning-algorithm-1905.12665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-learning-network-a-structure-learning-algorithm-1905.12665"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-structure-learning-algorithms-with-a-balanced-scoring-function-1905.12666</loc><lastmod>2020-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-structure-learning-algorithms-with-a-balanced-scoring-function-1905.12666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-structure-learning-algorithms-with-a-balanced-scoring-function-1905.12666"/></url>
<url><loc>https://scifaro.com/en/abs/structured-monte-carlo-sampling-for-nonisotropic-distributions-via-determinantal-point-processes-1905.12667</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-monte-carlo-sampling-for-nonisotropic-distributions-via-determinantal-point-processes-1905.12667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-monte-carlo-sampling-for-nonisotropic-distributions-via-determinantal-point-processes-1905.12667"/></url>
<url><loc>https://scifaro.com/en/abs/regret-bounds-for-thompson-sampling-in-episodic-restless-bandit-problems-1905.12673</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-bounds-for-thompson-sampling-in-episodic-restless-bandit-problems-1905.12673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-bounds-for-thompson-sampling-in-episodic-restless-bandit-problems-1905.12673"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-by-humans-for-humans-1905.12686</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-by-humans-for-humans-1905.12686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-by-humans-for-humans-1905.12686"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-latent-features-for-local-explanations-1905.12698</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-latent-features-for-local-explanations-1905.12698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-latent-features-for-local-explanations-1905.12698"/></url>
<url><loc>https://scifaro.com/en/abs/path-augmented-graph-transformer-network-1905.12712</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/path-augmented-graph-transformer-network-1905.12712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/path-augmented-graph-transformer-network-1905.12712"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-nearest-neighbor-rule-for-classification-1905.12717</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-nearest-neighbor-rule-for-classification-1905.12717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-nearest-neighbor-rule-for-classification-1905.12717"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-free-preconditioning-in-online-learning-1905.12721</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-free-preconditioning-in-online-learning-1905.12721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-free-preconditioning-in-online-learning-1905.12721"/></url>
<url><loc>https://scifaro.com/en/abs/variational-diffusion-autoencoders-with-random-walk-sampling-1905.12724</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-diffusion-autoencoders-with-random-walk-sampling-1905.12724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-diffusion-autoencoders-with-random-walk-sampling-1905.12724"/></url>
<url><loc>https://scifaro.com/en/abs/prioritized-sequence-experience-replay-1905.12726</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prioritized-sequence-experience-replay-1905.12726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prioritized-sequence-experience-replay-1905.12726"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-and-missing-values-1905.12728</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-and-missing-values-1905.12728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-and-missing-values-1905.12728"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-sketches-for-modular-deep-learning-1905.12730</loc><lastmod>2019-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-sketches-for-modular-deep-learning-1905.12730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-sketches-for-modular-deep-learning-1905.12730"/></url>
<url><loc>https://scifaro.com/en/abs/training-data-subset-search-with-ensemble-active-learning-1905.12737</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-data-subset-search-with-ensemble-active-learning-1905.12737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-data-subset-search-with-ensemble-active-learning-1905.12737"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-text-embeddings-for-causal-inference-1905.12741</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-text-embeddings-for-causal-inference-1905.12741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-text-embeddings-for-causal-inference-1905.12741"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-paraphrasing-without-translation-1905.12752</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-paraphrasing-without-translation-1905.12752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-paraphrasing-without-translation-1905.12752"/></url>
<url><loc>https://scifaro.com/en/abs/batch-weight-for-domain-adaptation-with-mass-shift-1905.12760</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-weight-for-domain-adaptation-with-mass-shift-1905.12760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-weight-for-domain-adaptation-with-mass-shift-1905.12760"/></url>
<url><loc>https://scifaro.com/en/abs/securing-connected-autonomous-vehicles-challenges-posed-by-adversarial-machine-learning-and-the-way-forward-1905.12762</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/securing-connected-autonomous-vehicles-challenges-posed-by-adversarial-machine-learning-and-the-way-forward-1905.12762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/securing-connected-autonomous-vehicles-challenges-posed-by-adversarial-machine-learning-and-the-way-forward-1905.12762"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-slate-based-recommender-systems-a-tractable-decomposition-and-practical-methodology-1905.12767</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-slate-based-recommender-systems-a-tractable-decomposition-and-practical-methodology-1905.12767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-slate-based-recommender-systems-a-tractable-decomposition-and-practical-methodology-1905.12767"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-online-balanced-descent-an-optimal-algorithm-for-smoothed-online-optimization-1905.12776</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-online-balanced-descent-an-optimal-algorithm-for-smoothed-online-optimization-1905.12776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-online-balanced-descent-an-optimal-algorithm-for-smoothed-online-optimization-1905.12776"/></url>
<url><loc>https://scifaro.com/en/abs/educating-text-autoencoders-latent-representation-guidance-via-denoising-1905.12777</loc><lastmod>2020-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/educating-text-autoencoders-latent-representation-guidance-via-denoising-1905.12777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/educating-text-autoencoders-latent-representation-guidance-via-denoising-1905.12777"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-crawl-1905.12781</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-crawl-1905.12781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-crawl-1905.12781"/></url>
<url><loc>https://scifaro.com/en/abs/maximin-active-learning-in-overparameterized-model-classes-1905.12782</loc><lastmod>2020-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximin-active-learning-in-overparameterized-model-classes-1905.12782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximin-active-learning-in-overparameterized-model-classes-1905.12782"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-dimension-of-data-representations-in-deep-neural-networks-1905.12784</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-dimension-of-data-representations-in-deep-neural-networks-1905.12784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-dimension-of-data-representations-in-deep-neural-networks-1905.12784"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-framework-of-sequence-generation-with-application-to-undirected-sequence-models-1905.12790</loc><lastmod>2020-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-framework-of-sequence-generation-with-application-to-undirected-sequence-models-1905.12790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-framework-of-sequence-generation-with-application-to-undirected-sequence-models-1905.12790"/></url>
<url><loc>https://scifaro.com/en/abs/bandlimiting-neural-networks-against-adversarial-attacks-1905.12797</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandlimiting-neural-networks-against-adversarial-attacks-1905.12797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandlimiting-neural-networks-against-adversarial-attacks-1905.12797"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-and-adaptive-sampling-for-optimized-dnn-compilation-1905.12799</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-and-adaptive-sampling-for-optimized-dnn-compilation-1905.12799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-and-adaptive-sampling-for-optimized-dnn-compilation-1905.12799"/></url>
<url><loc>https://scifaro.com/en/abs/data-dependent-differentially-private-parameter-learning-for-directed-graphical-models-1905.12813</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-dependent-differentially-private-parameter-learning-for-directed-graphical-models-1905.12813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-dependent-differentially-private-parameter-learning-for-directed-graphical-models-1905.12813"/></url>
<url><loc>https://scifaro.com/en/abs/deep-ensemble-learning-for-alzheimers-disease-classification-1905.12827</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-ensemble-learning-for-alzheimers-disease-classification-1905.12827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-ensemble-learning-for-alzheimers-disease-classification-1905.12827"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-style-transfer-1905.12828</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-style-transfer-1905.12828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-style-transfer-1905.12828"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-sub-sequence-for-text-generation-1905.12835</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-sub-sequence-for-text-generation-1905.12835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-sub-sequence-for-text-generation-1905.12835"/></url>
<url><loc>https://scifaro.com/en/abs/finite-time-analysis-of-approximate-policy-iteration-for-the-linear-quadratic-regulator-1905.12842</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-time-analysis-of-approximate-policy-iteration-for-the-linear-quadratic-regulator-1905.12842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-time-analysis-of-approximate-policy-iteration-for-the-linear-quadratic-regulator-1905.12842"/></url>
<url><loc>https://scifaro.com/en/abs/fair-regression-quantitative-definitions-and-reduction-based-algorithms-1905.12843</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-regression-quantitative-definitions-and-reduction-based-algorithms-1905.12843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-regression-quantitative-definitions-and-reduction-based-algorithms-1905.12843"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-q-learning-with-low-switching-cost-1905.12849</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-q-learning-with-low-switching-cost-1905.12849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-q-learning-with-low-switching-cost-1905.12849"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-adversarial-training-for-text-1905.12864</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-adversarial-training-for-text-1905.12864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-adversarial-training-for-text-1905.12864"/></url>
<url><loc>https://scifaro.com/en/abs/cross-modal-variational-auto-encoder-with-distributed-latent-spaces-and-associators-1905.12867</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-modal-variational-auto-encoder-with-distributed-latent-spaces-and-associators-1905.12867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-modal-variational-auto-encoder-with-distributed-latent-spaces-and-associators-1905.12867"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-regression-methods-a-comparison-with-cgan-1905.12868</loc><lastmod>2020-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-regression-methods-a-comparison-with-cgan-1905.12868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-regression-methods-a-comparison-with-cgan-1905.12868"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-learning-of-robust-deep-representations-1905.12874</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-learning-of-robust-deep-representations-1905.12874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-learning-of-robust-deep-representations-1905.12874"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-generalized-linear-bandits-1905.12879</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-generalized-linear-bandits-1905.12879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-generalized-linear-bandits-1905.12879"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-completion-in-the-unit-hypercube-via-structured-matrix-factorization-1905.12881</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-completion-in-the-unit-hypercube-via-structured-matrix-factorization-1905.12881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-completion-in-the-unit-hypercube-via-structured-matrix-factorization-1905.12881"/></url>
<url><loc>https://scifaro.com/en/abs/function-approximation-by-deep-networks-1905.12882</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/function-approximation-by-deep-networks-1905.12882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/function-approximation-by-deep-networks-1905.12882"/></url>
<url><loc>https://scifaro.com/en/abs/particle-filter-recurrent-neural-networks-1905.12885</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-filter-recurrent-neural-networks-1905.12885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-filter-recurrent-neural-networks-1905.12885"/></url>
<url><loc>https://scifaro.com/en/abs/imitation-learning-as-f-divergence-minimization-1905.12888</loc><lastmod>2020-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitation-learning-as-f-divergence-minimization-1905.12888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitation-learning-as-f-divergence-minimization-1905.12888"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-pre-training-helps-to-conserve-views-from-input-distribution-1905.12889</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-pre-training-helps-to-conserve-views-from-input-distribution-1905.12889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-pre-training-helps-to-conserve-views-from-input-distribution-1905.12889"/></url>
<url><loc>https://scifaro.com/en/abs/alignflow-cycle-consistent-learning-from-multiple-domains-via-normalizing-flows-1905.12892</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alignflow-cycle-consistent-learning-from-multiple-domains-via-normalizing-flows-1905.12892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alignflow-cycle-consistent-learning-from-multiple-domains-via-normalizing-flows-1905.12892"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-optimization-framework-for-dynamic-time-warping-1905.12893</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-optimization-framework-for-dynamic-time-warping-1905.12893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-optimization-framework-for-dynamic-time-warping-1905.12893"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multi-class-learning-from-label-proportions-1905.12909</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multi-class-learning-from-label-proportions-1905.12909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multi-class-learning-from-label-proportions-1905.12909"/></url>
<url><loc>https://scifaro.com/en/abs/meta-dropout-learning-to-perturb-features-for-generalization-1905.12914</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-dropout-learning-to-perturb-features-for-generalization-1905.12914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-dropout-learning-to-perturb-features-for-generalization-1905.12914"/></url>
<url><loc>https://scifaro.com/en/abs/effective-medical-test-suggestions-using-deep-reinforcement-learning-1905.12916</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-medical-test-suggestions-using-deep-reinforcement-learning-1905.12916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-medical-test-suggestions-using-deep-reinforcement-learning-1905.12916"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-balance-bayesian-meta-learning-for-imbalanced-and-out-of-distribution-tasks-1905.12917</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-balance-bayesian-meta-learning-for-imbalanced-and-out-of-distribution-tasks-1905.12917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-balance-bayesian-meta-learning-for-imbalanced-and-out-of-distribution-tasks-1905.12917"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-the-alignment-of-graph-and-features-in-deep-learning-1905.12921</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-the-alignment-of-graph-and-features-in-deep-learning-1905.12921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-the-alignment-of-graph-and-features-in-deep-learning-1905.12921"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-no-substitution-k-median-clustering-1905.12925</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-no-substitution-k-median-clustering-1905.12925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-no-substitution-k-median-clustering-1905.12925"/></url>
<url><loc>https://scifaro.com/en/abs/one-element-batch-training-by-moving-window-1905.12947</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-element-batch-training-by-moving-window-1905.12947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-element-batch-training-by-moving-window-1905.12947"/></url>
<url><loc>https://scifaro.com/en/abs/equipping-experts-bandits-with-long-term-memory-1905.12950</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equipping-experts-bandits-with-long-term-memory-1905.12950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equipping-experts-bandits-with-long-term-memory-1905.12950"/></url>
<url><loc>https://scifaro.com/en/abs/learning-nonsymmetric-determinantal-point-processes-1905.12962</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-nonsymmetric-determinantal-point-processes-1905.12962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-nonsymmetric-determinantal-point-processes-1905.12962"/></url>
<url><loc>https://scifaro.com/en/abs/meta-surrogate-benchmarking-for-hyperparameter-optimization-1905.12982</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-surrogate-benchmarking-for-hyperparameter-optimization-1905.12982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-surrogate-benchmarking-for-hyperparameter-optimization-1905.12982"/></url>
<url><loc>https://scifaro.com/en/abs/learning-by-active-nonlinear-diffusion-1905.12989</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-by-active-nonlinear-diffusion-1905.12989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-by-active-nonlinear-diffusion-1905.12989"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-separable-nonnegative-matrix-factorization-1905.12995</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-separable-nonnegative-matrix-factorization-1905.12995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-separable-nonnegative-matrix-factorization-1905.12995"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-regularization-of-accelerated-methods-in-hilbert-spaces-1905.13000</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-regularization-of-accelerated-methods-in-hilbert-spaces-1905.13000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-regularization-of-accelerated-methods-in-hilbert-spaces-1905.13000"/></url>
<url><loc>https://scifaro.com/en/abs/visualization-of-ae-s-training-on-credit-card-transactions-with-persistent-homology-1905.13020</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualization-of-ae-s-training-on-credit-card-transactions-with-persistent-homology-1905.13020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualization-of-ae-s-training-on-credit-card-transactions-with-persistent-homology-1905.13020"/></url>
<url><loc>https://scifaro.com/en/abs/memory-driven-mixed-low-precision-quantization-for-enabling-deep-network-inference-on-microcontrollers-1905.13082</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-driven-mixed-low-precision-quantization-for-enabling-deep-network-inference-on-microcontrollers-1905.13082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-driven-mixed-low-precision-quantization-for-enabling-deep-network-inference-on-microcontrollers-1905.13082"/></url>
<url><loc>https://scifaro.com/en/abs/imjoy-an-open-source-computational-platform-for-the-deep-learning-era-1905.13105</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imjoy-an-open-source-computational-platform-for-the-deep-learning-era-1905.13105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imjoy-an-open-source-computational-platform-for-the-deep-learning-era-1905.13105"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-dependent-and-time-uniform-bounds-for-piecewise-i-i-d-bandits-1905.13159</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-dependent-and-time-uniform-bounds-for-piecewise-i-i-d-bandits-1905.13159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-dependent-and-time-uniform-bounds-for-piecewise-i-i-d-bandits-1905.13159"/></url>
<url><loc>https://scifaro.com/en/abs/defining-admissible-rewards-for-high-confidence-policy-evaluation-1905.13167</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defining-admissible-rewards-for-high-confidence-policy-evaluation-1905.13167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defining-admissible-rewards-for-high-confidence-policy-evaluation-1905.13167"/></url>
<url><loc>https://scifaro.com/en/abs/confirmatory-bayesian-online-change-point-detection-in-the-covariance-structure-of-gaussian-processes-1905.13168</loc><lastmod>2020-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confirmatory-bayesian-online-change-point-detection-in-the-covariance-structure-of-gaussian-processes-1905.13168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confirmatory-bayesian-online-change-point-detection-in-the-covariance-structure-of-gaussian-processes-1905.13168"/></url>
<url><loc>https://scifaro.com/en/abs/graph-normalizing-flows-1905.13177</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-normalizing-flows-1905.13177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-normalizing-flows-1905.13177"/></url>
<url><loc>https://scifaro.com/en/abs/toward-runtime-throttleable-neural-networks-1905.13179</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-runtime-throttleable-neural-networks-1905.13179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-runtime-throttleable-neural-networks-1905.13179"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-goal-oriented-active-learning-via-influence-functions-1905.13183</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-goal-oriented-active-learning-via-influence-functions-1905.13183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-goal-oriented-active-learning-via-influence-functions-1905.13183"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-tangent-kernel-fusing-graph-neural-networks-with-graph-kernels-1905.13192</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-tangent-kernel-fusing-graph-neural-networks-with-graph-kernels-1905.13192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-tangent-kernel-fusing-graph-neural-networks-with-graph-kernels-1905.13192"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-uncertainty-of-loss-landscape-for-stochastic-optimization-1905.13200</loc><lastmod>2019-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-uncertainty-of-loss-landscape-for-stochastic-optimization-1905.13200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-uncertainty-of-loss-landscape-for-stochastic-optimization-1905.13200"/></url>
<url><loc>https://scifaro.com/en/abs/near-term-quantum-classical-associative-adversarial-networks-1905.13205</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-term-quantum-classical-associative-adversarial-networks-1905.13205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-term-quantum-classical-associative-adversarial-networks-1905.13205"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-of-stochastic-gradient-descent-for-wide-and-deep-neural-networks-1905.13210</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-of-stochastic-gradient-descent-for-wide-and-deep-neural-networks-1905.13210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-of-stochastic-gradient-descent-for-wide-and-deep-neural-networks-1905.13210"/></url>
<url><loc>https://scifaro.com/en/abs/what-can-neural-networks-reason-about-1905.13211</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-can-neural-networks-reason-about-1905.13211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-can-neural-networks-reason-about-1905.13211"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-pid-parameter-tuning-for-control-engineering-using-general-dynamic-neural-networks-an-extensive-comparison-1905.13268</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-pid-parameter-tuning-for-control-engineering-using-general-dynamic-neural-networks-an-extensive-comparison-1905.13268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-pid-parameter-tuning-for-control-engineering-using-general-dynamic-neural-networks-an-extensive-comparison-1905.13268"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-computational-user-models-for-agent-policy-summarization-1905.13271</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-computational-user-models-for-agent-policy-summarization-1905.13271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-computational-user-models-for-agent-policy-summarization-1905.13271"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-covariance-estimation-from-temporal-data-1905.13276</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-covariance-estimation-from-temporal-data-1905.13276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-covariance-estimation-from-temporal-data-1905.13276"/></url>
<url><loc>https://scifaro.com/en/abs/time-matters-in-regularizing-deep-networks-weight-decay-and-data-augmentation-affect-early-learning-dynamics-matter-little-near-convergence-1905.13277</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-matters-in-regularizing-deep-networks-weight-decay-and-data-augmentation-affect-early-learning-dynamics-matter-little-near-convergence-1905.13277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-matters-in-regularizing-deep-networks-weight-decay-and-data-augmentation-affect-early-learning-dynamics-matter-little-near-convergence-1905.13277"/></url>
<url><loc>https://scifaro.com/en/abs/sum-of-squares-meets-square-loss-fast-rates-for-agnostic-tensor-completion-1905.13283</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sum-of-squares-meets-square-loss-fast-rates-for-agnostic-tensor-completion-1905.13283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sum-of-squares-meets-square-loss-fast-rates-for-agnostic-tensor-completion-1905.13283"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-classes-susceptible-to-adversarial-attacks-1905.13284</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-classes-susceptible-to-adversarial-attacks-1905.13284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-classes-susceptible-to-adversarial-attacks-1905.13284"/></url>
<url><loc>https://scifaro.com/en/abs/structured-output-learning-with-conditional-generative-flows-1905.13288</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-output-learning-with-conditional-generative-flows-1905.13288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-output-learning-with-conditional-generative-flows-1905.13288"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-accuracy-of-influence-functions-for-measuring-group-effects-1905.13289</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-accuracy-of-influence-functions-for-measuring-group-effects-1905.13289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-accuracy-of-influence-functions-for-measuring-group-effects-1905.13289"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-deep-learning-with-special-emphasis-on-architectures-applications-and-recent-trends-1905.13294</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-deep-learning-with-special-emphasis-on-architectures-applications-and-recent-trends-1905.13294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-deep-learning-with-special-emphasis-on-architectures-applications-and-recent-trends-1905.13294"/></url>
<url><loc>https://scifaro.com/en/abs/deepshift-towards-multiplication-less-neural-networks-1905.13298</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepshift-towards-multiplication-less-neural-networks-1905.13298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepshift-towards-multiplication-less-neural-networks-1905.13298"/></url>
<url><loc>https://scifaro.com/en/abs/combating-the-compounding-error-problem-with-a-multi-step-model-1905.13320</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combating-the-compounding-error-problem-with-a-multi-step-model-1905.13320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combating-the-compounding-error-problem-with-a-multi-step-model-1905.13320"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-clustering-for-robust-unsupervised-domain-adaptation-1905.13331</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-clustering-for-robust-unsupervised-domain-adaptation-1905.13331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-clustering-for-robust-unsupervised-domain-adaptation-1905.13331"/></url>
<url><loc>https://scifaro.com/en/abs/on-value-functions-and-the-agent-environment-boundary-1905.13341</loc><lastmod>2020-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-value-functions-and-the-agent-environment-boundary-1905.13341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-value-functions-and-the-agent-environment-boundary-1905.13341"/></url>
<url><loc>https://scifaro.com/en/abs/all-smiles-variational-autoencoder-1905.13343</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/all-smiles-variational-autoencoder-1905.13343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/all-smiles-variational-autoencoder-1905.13343"/></url>
<url><loc>https://scifaro.com/en/abs/deterministic-pac-bayesian-generalization-bounds-for-deep-networks-via-generalizing-noise-resilience-1905.13344</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deterministic-pac-bayesian-generalization-bounds-for-deep-networks-via-generalizing-noise-resilience-1905.13344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deterministic-pac-bayesian-generalization-bounds-for-deep-networks-via-generalizing-noise-resilience-1905.13344"/></url>
<url><loc>https://scifaro.com/en/abs/power-weighted-shortest-paths-for-clustering-euclidean-data-1905.13345</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-weighted-shortest-paths-for-clustering-euclidean-data-1905.13345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-weighted-shortest-paths-for-clustering-euclidean-data-1905.13345"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-mean-field-game-1905.13357</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-mean-field-game-1905.13357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-mean-field-game-1905.13357"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-forward-architecture-search-1905.13360</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-forward-architecture-search-1905.13360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-forward-architecture-search-1905.13360"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayes-un-expected-bernstein-inequality-1905.13367</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayes-un-expected-bernstein-inequality-1905.13367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayes-un-expected-bernstein-inequality-1905.13367"/></url>
<url><loc>https://scifaro.com/en/abs/fast-online-next-best-offers-using-deep-learning-1905.13368</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-online-next-best-offers-using-deep-learning-1905.13368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-online-next-best-offers-using-deep-learning-1905.13368"/></url>
<url><loc>https://scifaro.com/en/abs/molecularrnn-generating-realistic-molecular-graphs-with-optimized-properties-1905.13372</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molecularrnn-generating-realistic-molecular-graphs-with-optimized-properties-1905.13372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molecularrnn-generating-realistic-molecular-graphs-with-optimized-properties-1905.13372"/></url>
<url><loc>https://scifaro.com/en/abs/using-latent-variable-models-to-observe-academic-pathways-1905.13383</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-latent-variable-models-to-observe-academic-pathways-1905.13383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-latent-variable-models-to-observe-academic-pathways-1905.13383"/></url>
<url><loc>https://scifaro.com/en/abs/residual-networks-as-nonlinear-systems-stability-analysis-using-linearization-1905.13386</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-networks-as-nonlinear-systems-stability-analysis-using-linearization-1905.13386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-networks-as-nonlinear-systems-stability-analysis-using-linearization-1905.13386"/></url>
<url><loc>https://scifaro.com/en/abs/safety-augmented-value-estimation-from-demonstrations-saved-safe-deep-model-based-rl-for-sparse-cost-robotic-tasks-1905.13402</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safety-augmented-value-estimation-from-demonstrations-saved-safe-deep-model-based-rl-for-sparse-cost-robotic-tasks-1905.13402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safety-augmented-value-estimation-from-demonstrations-saved-safe-deep-model-based-rl-for-sparse-cost-robotic-tasks-1905.13402"/></url>
<url><loc>https://scifaro.com/en/abs/deep-bayesian-optimization-on-attributed-graphs-1905.13403</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-bayesian-optimization-on-attributed-graphs-1905.13403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-bayesian-optimization-on-attributed-graphs-1905.13403"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-algorithm-selection-and-parameter-tuning-two-case-studies-in-optimization-and-signal-processing-1905.13404</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-algorithm-selection-and-parameter-tuning-two-case-studies-in-optimization-and-signal-processing-1905.13404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-algorithm-selection-and-parameter-tuning-two-case-studies-in-optimization-and-signal-processing-1905.13404"/></url>
<url><loc>https://scifaro.com/en/abs/luck-matters-understanding-training-dynamics-of-deep-relu-networks-1905.13405</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/luck-matters-understanding-training-dynamics-of-deep-relu-networks-1905.13405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/luck-matters-understanding-training-dynamics-of-deep-relu-networks-1905.13405"/></url>
<url><loc>https://scifaro.com/en/abs/bypassing-backdoor-detection-algorithms-in-deep-learning-1905.13409</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bypassing-backdoor-detection-algorithms-in-deep-learning-1905.13409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bypassing-backdoor-detection-algorithms-in-deep-learning-1905.13409"/></url>
<url><loc>https://scifaro.com/en/abs/sequence-modeling-of-temporal-credit-assignment-for-episodic-reinforcement-learning-1905.13420</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequence-modeling-of-temporal-credit-assignment-for-episodic-reinforcement-learning-1905.13420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequence-modeling-of-temporal-credit-assignment-for-episodic-reinforcement-learning-1905.13420"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-structural-graph-classification-1905.13422</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-structural-graph-classification-1905.13422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-structural-graph-classification-1905.13422"/></url>
<url><loc>https://scifaro.com/en/abs/attentional-policies-for-cross-context-multi-agent-reinforcement-learning-1905.13428</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attentional-policies-for-cross-context-multi-agent-reinforcement-learning-1905.13428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attentional-policies-for-cross-context-multi-agent-reinforcement-learning-1905.13428"/></url>
<url><loc>https://scifaro.com/en/abs/max-mig-an-information-theoretic-approach-for-joint-learning-from-crowds-1905.13436</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-mig-an-information-theoretic-approach-for-joint-learning-from-crowds-1905.13436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-mig-an-information-theoretic-approach-for-joint-learning-from-crowds-1905.13436"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-necessity-and-effectiveness-of-learning-the-prior-of-variational-auto-encoder-1905.13452</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-necessity-and-effectiveness-of-learning-the-prior-of-variational-auto-encoder-1905.13452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-necessity-and-effectiveness-of-learning-the-prior-of-variational-auto-encoder-1905.13452"/></url>
<url><loc>https://scifaro.com/en/abs/neural-markov-logic-networks-1905.13462</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-markov-logic-networks-1905.13462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-markov-logic-networks-1905.13462"/></url>
<url><loc>https://scifaro.com/en/abs/interval-timing-in-deep-reinforcement-learning-agents-1905.13469</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interval-timing-in-deep-reinforcement-learning-agents-1905.13469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interval-timing-in-deep-reinforcement-learning-agents-1905.13469"/></url>
<url><loc>https://scifaro.com/en/abs/exact-sampling-of-determinantal-point-processes-with-sublinear-time-preprocessing-1905.13476</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-sampling-of-determinantal-point-processes-with-sublinear-time-preprocessing-1905.13476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-sampling-of-determinantal-point-processes-with-sublinear-time-preprocessing-1905.13476"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-tensor-factorisation-for-bottom-up-hidden-tree-markov-models-1905.13528</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-tensor-factorisation-for-bottom-up-hidden-tree-markov-models-1905.13528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-tensor-factorisation-for-bottom-up-hidden-tree-markov-models-1905.13528"/></url>
<url><loc>https://scifaro.com/en/abs/learning-robust-control-for-lqr-systems-with-multiplicative-noise-via-policy-gradient-1905.13547</loc><lastmod>2020-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-robust-control-for-lqr-systems-with-multiplicative-noise-via-policy-gradient-1905.13547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-robust-control-for-lqr-systems-with-multiplicative-noise-via-policy-gradient-1905.13547"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-hybrid-model-based-on-multi-objective-harris-hawks-optimization-algorithm-for-daily-pm2-5-and-pm10-forecasting-1905.13550</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-hybrid-model-based-on-multi-objective-harris-hawks-optimization-algorithm-for-daily-pm2-5-and-pm10-forecasting-1905.13550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-hybrid-model-based-on-multi-objective-harris-hawks-optimization-algorithm-for-daily-pm2-5-and-pm10-forecasting-1905.13550"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-existence-determination-through-policy-optimization-1905.13551</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-existence-determination-through-policy-optimization-1905.13551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-existence-determination-through-policy-optimization-1905.13551"/></url>
<url><loc>https://scifaro.com/en/abs/advantage-amplification-in-slowly-evolving-latent-state-environments-1905.13559</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advantage-amplification-in-slowly-evolving-latent-state-environments-1905.13559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advantage-amplification-in-slowly-evolving-latent-state-environments-1905.13559"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-artificial-systems-for-pairwise-ranking-tasks-sensitive-to-individual-differences-1905.13560</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-artificial-systems-for-pairwise-ranking-tasks-sensitive-to-individual-differences-1905.13560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-artificial-systems-for-pairwise-ranking-tasks-sensitive-to-individual-differences-1905.13560"/></url>
<url><loc>https://scifaro.com/en/abs/don-t-forget-your-teacher-a-corrective-reinforcement-learning-framework-1905.13562</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/don-t-forget-your-teacher-a-corrective-reinforcement-learning-framework-1905.13562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/don-t-forget-your-teacher-a-corrective-reinforcement-learning-framework-1905.13562"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-simple-models-by-exploiting-what-they-already-know-1905.13565</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-simple-models-by-exploiting-what-they-already-know-1905.13565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-simple-models-by-exploiting-what-they-already-know-1905.13565"/></url>
<url><loc>https://scifaro.com/en/abs/quantization-loss-re-learning-method-1905.13568</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantization-loss-re-learning-method-1905.13568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantization-loss-re-learning-method-1905.13568"/></url>
<url><loc>https://scifaro.com/en/abs/factorized-inference-in-deep-markov-models-for-incomplete-multimodal-time-series-1905.13570</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factorized-inference-in-deep-markov-models-for-incomplete-multimodal-time-series-1905.13570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factorized-inference-in-deep-markov-models-for-incomplete-multimodal-time-series-1905.13570"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-neural-architecture-search-via-proximal-iterations-1905.13577</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-neural-architecture-search-via-proximal-iterations-1905.13577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-neural-architecture-search-via-proximal-iterations-1905.13577"/></url>
<url><loc>https://scifaro.com/en/abs/geno-generic-optimization-for-classical-machine-learning-1905.13587</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geno-generic-optimization-for-classical-machine-learning-1905.13587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geno-generic-optimization-for-classical-machine-learning-1905.13587"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-trust-and-distrust-in-recommender-systems-via-deep-learning-1905.13612</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-trust-and-distrust-in-recommender-systems-via-deep-learning-1905.13612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-trust-and-distrust-in-recommender-systems-via-deep-learning-1905.13612"/></url>
<url><loc>https://scifaro.com/en/abs/regression-networks-for-meta-learning-few-shot-classification-1905.13613</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-networks-for-meta-learning-few-shot-classification-1905.13613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-networks-for-meta-learning-few-shot-classification-1905.13613"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-anomaly-detection-using-convolutional-neural-networks-and-transfer-learning-1905.13628</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-anomaly-detection-using-convolutional-neural-networks-and-transfer-learning-1905.13628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-anomaly-detection-using-convolutional-neural-networks-and-transfer-learning-1905.13628"/></url>
<url><loc>https://scifaro.com/en/abs/updates-of-equilibrium-prop-match-gradients-of-backprop-through-time-in-an-rnn-with-static-input-1905.13633</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/updates-of-equilibrium-prop-match-gradients-of-backprop-through-time-in-an-rnn-with-static-input-1905.13633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/updates-of-equilibrium-prop-match-gradients-of-backprop-through-time-in-an-rnn-with-static-input-1905.13633"/></url>
<url><loc>https://scifaro.com/en/abs/scaffold-based-molecular-design-using-graph-generative-model-1905.13639</loc><lastmod>2020-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaffold-based-molecular-design-using-graph-generative-model-1905.13639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaffold-based-molecular-design-using-graph-generative-model-1905.13639"/></url>
<url><loc>https://scifaro.com/en/abs/l0-regularization-based-neural-network-design-and-compression-1905.13652</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l0-regularization-based-neural-network-design-and-compression-1905.13652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l0-regularization-based-neural-network-design-and-compression-1905.13652"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-regularization-in-deep-matrix-factorization-1905.13655</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-regularization-in-deep-matrix-factorization-1905.13655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-regularization-in-deep-matrix-factorization-1905.13655"/></url>
<url><loc>https://scifaro.com/en/abs/ordinal-regression-as-structured-classification-1905.13658</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ordinal-regression-as-structured-classification-1905.13658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ordinal-regression-as-structured-classification-1905.13658"/></url>
<url><loc>https://scifaro.com/en/abs/uncoupled-regression-from-pairwise-comparison-data-1905.13659</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncoupled-regression-from-pairwise-comparison-data-1905.13659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncoupled-regression-from-pairwise-comparison-data-1905.13659"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-fairness-of-disentangled-representations-1905.13662</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-fairness-of-disentangled-representations-1905.13662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-fairness-of-disentangled-representations-1905.13662"/></url>
<url><loc>https://scifaro.com/en/abs/augmenting-transfer-learning-with-semantic-reasoning-1905.13672</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmenting-transfer-learning-with-semantic-reasoning-1905.13672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmenting-transfer-learning-with-semantic-reasoning-1905.13672"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-networks-using-targeted-dropout-1905.13678</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-networks-using-targeted-dropout-1905.13678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-networks-using-targeted-dropout-1905.13678"/></url>
<url><loc>https://scifaro.com/en/abs/explainability-techniques-for-graph-convolutional-networks-1905.13686</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainability-techniques-for-graph-convolutional-networks-1905.13686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainability-techniques-for-graph-convolutional-networks-1905.13686"/></url>
<url><loc>https://scifaro.com/en/abs/cascaded-algorithm-selection-and-hyper-parameter-optimization-with-extreme-region-upper-confidence-bound-bandit-1905.13703</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cascaded-algorithm-selection-and-hyper-parameter-optimization-with-extreme-region-upper-confidence-bound-bandit-1905.13703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cascaded-algorithm-selection-and-hyper-parameter-optimization-with-extreme-region-upper-confidence-bound-bandit-1905.13703"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-experience-reuse-with-policy-residual-representation-1905.13719</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-experience-reuse-with-policy-residual-representation-1905.13719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-experience-reuse-with-policy-residual-representation-1905.13719"/></url>
<url><loc>https://scifaro.com/en/abs/are-labels-required-for-improving-adversarial-robustness-1905.13725</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-labels-required-for-improving-adversarial-robustness-1905.13725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-labels-required-for-improving-adversarial-robustness-1905.13725"/></url>
<url><loc>https://scifaro.com/en/abs/powersgd-practical-low-rank-gradient-compression-for-distributed-optimization-1905.13727</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/powersgd-practical-low-rank-gradient-compression-for-distributed-optimization-1905.13727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/powersgd-practical-low-rank-gradient-compression-for-distributed-optimization-1905.13727"/></url>
<url><loc>https://scifaro.com/en/abs/pre-training-graph-neural-networks-for-generic-structural-feature-extraction-1905.13728</loc><lastmod>2019-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pre-training-graph-neural-networks-for-generic-structural-feature-extraction-1905.13728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pre-training-graph-neural-networks-for-generic-structural-feature-extraction-1905.13728"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-learning-and-optimization-on-graphs-1905.13732</loc><lastmod>2020-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-learning-and-optimization-on-graphs-1905.13732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-learning-and-optimization-on-graphs-1905.13732"/></url>
<url><loc>https://scifaro.com/en/abs/self-referencing-embedded-strings-selfies-a-100-robust-molecular-string-representation-1905.13741</loc><lastmod>2020-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-referencing-embedded-strings-selfies-a-100-robust-molecular-string-representation-1905.13741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-referencing-embedded-strings-selfies-a-100-robust-molecular-string-representation-1905.13741"/></url>
<url><loc>https://scifaro.com/en/abs/functional-adversarial-attacks-1906.00001</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-adversarial-attacks-1906.00001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-adversarial-attacks-1906.00001"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-margin-active-learning-1906.00025</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-margin-active-learning-1906.00025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-margin-active-learning-1906.00025"/></url>
<url><loc>https://scifaro.com/en/abs/independent-component-analysis-based-on-multiple-data-weighting-1906.00028</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/independent-component-analysis-based-on-multiple-data-weighting-1906.00028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/independent-component-analysis-based-on-multiple-data-weighting-1906.00028"/></url>
<url><loc>https://scifaro.com/en/abs/optimized-score-transformation-for-consistent-fair-classification-1906.00066</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimized-score-transformation-for-consistent-fair-classification-1906.00066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimized-score-transformation-for-consistent-fair-classification-1906.00066"/></url>
<url><loc>https://scifaro.com/en/abs/diversity-inducing-policy-gradient-using-maximum-mean-discrepancy-to-find-a-set-of-diverse-policies-1906.00088</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversity-inducing-policy-gradient-using-maximum-mean-discrepancy-to-find-a-set-of-diverse-policies-1906.00088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversity-inducing-policy-gradient-using-maximum-mean-discrepancy-to-find-a-set-of-diverse-policies-1906.00088"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-and-optimization-of-mechanical-properties-of-composites-using-convolutional-neural-networks-1906.00094</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-and-optimization-of-mechanical-properties-of-composites-using-convolutional-neural-networks-1906.00094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-and-optimization-of-mechanical-properties-of-composites-using-convolutional-neural-networks-1906.00094"/></url>
<url><loc>https://scifaro.com/en/abs/modular-universal-reparameterization-deep-multi-task-learning-across-diverse-domains-1906.00097</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modular-universal-reparameterization-deep-multi-task-learning-across-diverse-domains-1906.00097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modular-universal-reparameterization-deep-multi-task-learning-across-diverse-domains-1906.00097"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-perturbation-meets-incomplete-multi-view-data-1906.00098</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-perturbation-meets-incomplete-multi-view-data-1906.00098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-perturbation-meets-incomplete-multi-view-data-1906.00098"/></url>
<url><loc>https://scifaro.com/en/abs/activeharnet-towards-on-device-deep-bayesian-active-learning-for-human-activity-recognition-1906.00108</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/activeharnet-towards-on-device-deep-bayesian-active-learning-for-human-activity-recognition-1906.00108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/activeharnet-towards-on-device-deep-bayesian-active-learning-for-human-activity-recognition-1906.00108"/></url>
<url><loc>https://scifaro.com/en/abs/model-agnostic-contrastive-explanations-for-structured-data-1906.00117</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-agnostic-contrastive-explanations-for-structured-data-1906.00117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-agnostic-contrastive-explanations-for-structured-data-1906.00117"/></url>
<url><loc>https://scifaro.com/en/abs/consensus-clustering-an-embedding-perspective-extension-and-beyond-1906.00120</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consensus-clustering-an-embedding-perspective-extension-and-beyond-1906.00120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consensus-clustering-an-embedding-perspective-extension-and-beyond-1906.00120"/></url>
<url><loc>https://scifaro.com/en/abs/graph-wavenet-for-deep-spatial-temporal-graph-modeling-1906.00121</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-wavenet-for-deep-spatial-temporal-graph-modeling-1906.00121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-wavenet-for-deep-spatial-temporal-graph-modeling-1906.00121"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-bayesian-optimization-using-pareto-frontier-entropy-1906.00127</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-bayesian-optimization-using-pareto-frontier-entropy-1906.00127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-bayesian-optimization-using-pareto-frontier-entropy-1906.00127"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-fairness-in-determining-medicaid-eligibility-through-fairgroup-construction-1906.00128</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-fairness-in-determining-medicaid-eligibility-through-fairgroup-construction-1906.00128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-fairness-in-determining-medicaid-eligibility-through-fairgroup-construction-1906.00128"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-hypergraphs-prediction-beyond-binary-relations-1906.00137</loc><lastmod>2020-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-hypergraphs-prediction-beyond-binary-relations-1906.00137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-hypergraphs-prediction-beyond-binary-relations-1906.00137"/></url>
<url><loc>https://scifaro.com/en/abs/diffque-estimating-relative-difficulty-of-questions-in-community-question-answering-services-1906.00145</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffque-estimating-relative-difficulty-of-questions-in-community-question-answering-services-1906.00145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffque-estimating-relative-difficulty-of-questions-in-community-question-answering-services-1906.00145"/></url>
<url><loc>https://scifaro.com/en/abs/why-not-to-use-zero-imputation-correcting-sparsity-bias-in-training-neural-networks-1906.00150</loc><lastmod>2020-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-not-to-use-zero-imputation-correcting-sparsity-bias-in-training-neural-networks-1906.00150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-not-to-use-zero-imputation-correcting-sparsity-bias-in-training-neural-networks-1906.00150"/></url>
<url><loc>https://scifaro.com/en/abs/patch-learning-1906.00158</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/patch-learning-1906.00158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/patch-learning-1906.00158"/></url>
<url><loc>https://scifaro.com/en/abs/automated-machine-learning-with-monte-carlo-tree-search-1906.00170</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-machine-learning-with-monte-carlo-tree-search-1906.00170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-machine-learning-with-monte-carlo-tree-search-1906.00170"/></url>
<url><loc>https://scifaro.com/en/abs/are-anchor-points-really-indispensable-in-label-noise-learning-1906.00189</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-anchor-points-really-indispensable-in-label-noise-learning-1906.00189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-anchor-points-really-indispensable-in-label-noise-learning-1906.00189"/></url>
<url><loc>https://scifaro.com/en/abs/neural-replicator-dynamics-1906.00190</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-replicator-dynamics-1906.00190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-replicator-dynamics-1906.00190"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-multistep-forecasting-reconstruction-and-feature-selection-of-ocean-waves-via-recurrent-and-sequence-to-sequence-networks-1906.00195</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-multistep-forecasting-reconstruction-and-feature-selection-of-ocean-waves-via-recurrent-and-sequence-to-sequence-networks-1906.00195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-multistep-forecasting-reconstruction-and-feature-selection-of-ocean-waves-via-recurrent-and-sequence-to-sequence-networks-1906.00195"/></url>
<url><loc>https://scifaro.com/en/abs/perceptual-evaluation-of-adversarial-attacks-for-cnn-based-image-classification-1906.00204</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perceptual-evaluation-of-adversarial-attacks-for-cnn-based-image-classification-1906.00204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perceptual-evaluation-of-adversarial-attacks-for-cnn-based-image-classification-1906.00204"/></url>
<url><loc>https://scifaro.com/en/abs/robust-learning-under-label-noise-with-iterative-noise-filtering-1906.00216</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-learning-under-label-noise-with-iterative-noise-filtering-1906.00216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-learning-under-label-noise-with-iterative-noise-filtering-1906.00216"/></url>
<url><loc>https://scifaro.com/en/abs/variational-langevin-hamiltonian-monte-carlo-for-distant-multi-modal-sampling-1906.00229</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-langevin-hamiltonian-monte-carlo-for-distant-multi-modal-sampling-1906.00229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-langevin-hamiltonian-monte-carlo-for-distant-multi-modal-sampling-1906.00229"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-instrumental-variable-regression-1906.00232</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-instrumental-variable-regression-1906.00232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-instrumental-variable-regression-1906.00232"/></url>
<url><loc>https://scifaro.com/en/abs/metric-learning-for-individual-fairness-1906.00250</loc><lastmod>2020-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-learning-for-individual-fairness-1906.00250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-learning-for-individual-fairness-1906.00250"/></url>
<url><loc>https://scifaro.com/en/abs/super-resolution-of-time-series-labels-for-bootstrapped-event-detection-1906.00254</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/super-resolution-of-time-series-labels-for-bootstrapped-event-detection-1906.00254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/super-resolution-of-time-series-labels-for-bootstrapped-event-detection-1906.00254"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-transformation-based-defenses-using-a-distribution-classifier-1906.00258</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-transformation-based-defenses-using-a-distribution-classifier-1906.00258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-transformation-based-defenses-using-a-distribution-classifier-1906.00258"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-discriminators-sample-complexity-and-expressiveness-1906.00264</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-discriminators-sample-complexity-and-expressiveness-1906.00264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-discriminators-sample-complexity-and-expressiveness-1906.00264"/></url>
<url><loc>https://scifaro.com/en/abs/glad-learning-sparse-graph-recovery-1906.00271</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/glad-learning-sparse-graph-recovery-1906.00271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/glad-learning-sparse-graph-recovery-1906.00271"/></url>
<url><loc>https://scifaro.com/en/abs/biomedical-named-entity-recognition-via-reference-set-augmented-bootstrapping-1906.00282</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biomedical-named-entity-recognition-via-reference-set-augmented-bootstrapping-1906.00282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biomedical-named-entity-recognition-via-reference-set-augmented-bootstrapping-1906.00282"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-online-learning-for-gradient-based-optimizers-1906.00290</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-online-learning-for-gradient-based-optimizers-1906.00290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-online-learning-for-gradient-based-optimizers-1906.00290"/></url>
<url><loc>https://scifaro.com/en/abs/cooperative-neural-networks-conn-exploiting-prior-independence-structure-for-improved-classification-1906.00291</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cooperative-neural-networks-conn-exploiting-prior-independence-structure-for-improved-classification-1906.00291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cooperative-neural-networks-conn-exploiting-prior-independence-structure-for-improved-classification-1906.00291"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-computational-complexity-of-the-probabilistic-label-tree-algorithms-1906.00294</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-computational-complexity-of-the-probabilistic-label-tree-algorithms-1906.00294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-computational-complexity-of-the-probabilistic-label-tree-algorithms-1906.00294"/></url>
<url><loc>https://scifaro.com/en/abs/quantitative-overfitting-management-for-human-in-the-loop-ml-application-development-with-ease-ml-meter-1906.00299</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantitative-overfitting-management-for-human-in-the-loop-ml-application-development-with-ease-ml-meter-1906.00299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantitative-overfitting-management-for-human-in-the-loop-ml-application-development-with-ease-ml-meter-1906.00299"/></url>
<url><loc>https://scifaro.com/en/abs/learning-low-dimensional-state-embeddings-and-metastable-clusters-from-time-series-data-1906.00302</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-low-dimensional-state-embeddings-and-metastable-clusters-from-time-series-data-1906.00302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-low-dimensional-state-embeddings-and-metastable-clusters-from-time-series-data-1906.00302"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-binary-classification-with-abstention-1906.00303</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-binary-classification-with-abstention-1906.00303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-binary-classification-with-abstention-1906.00303"/></url>
<url><loc>https://scifaro.com/en/abs/on-gradient-descent-ascent-for-nonconvex-concave-minimax-problems-1906.00331</loc><lastmod>2024-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-gradient-descent-ascent-for-nonconvex-concave-minimax-problems-1906.00331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-gradient-descent-ascent-for-nonconvex-concave-minimax-problems-1906.00331"/></url>
<url><loc>https://scifaro.com/en/abs/neuraldivergence-exploring-and-understanding-neural-networks-by-comparing-activation-distributions-1906.00332</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuraldivergence-exploring-and-understanding-neural-networks-by-comparing-activation-distributions-1906.00332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuraldivergence-exploring-and-understanding-neural-networks-by-comparing-activation-distributions-1906.00332"/></url>
<url><loc>https://scifaro.com/en/abs/the-principle-of-unchanged-optimality-in-reinforcement-learning-generalization-1906.00336</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-principle-of-unchanged-optimality-in-reinforcement-learning-generalization-1906.00336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-principle-of-unchanged-optimality-in-reinforcement-learning-generalization-1906.00336"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-and-forecasting-user-engagement-with-in-app-action-graph-a-case-study-of-snapchat-1906.00355</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-and-forecasting-user-engagement-with-in-app-action-graph-a-case-study-of-snapchat-1906.00355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-and-forecasting-user-engagement-with-in-app-action-graph-a-case-study-of-snapchat-1906.00355"/></url>
<url><loc>https://scifaro.com/en/abs/disparate-vulnerability-to-membership-inference-attacks-1906.00389</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disparate-vulnerability-to-membership-inference-attacks-1906.00389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disparate-vulnerability-to-membership-inference-attacks-1906.00389"/></url>
<url><loc>https://scifaro.com/en/abs/cost-sensitive-boosting-pruning-trees-for-depression-detection-on-twitter-1906.00398</loc><lastmod>2022-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-sensitive-boosting-pruning-trees-for-depression-detection-on-twitter-1906.00398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-sensitive-boosting-pruning-trees-for-depression-detection-on-twitter-1906.00398"/></url>
<url><loc>https://scifaro.com/en/abs/learning-domain-randomization-distributions-for-training-robust-locomotion-policies-1906.00410</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-domain-randomization-distributions-for-training-robust-locomotion-policies-1906.00410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-domain-randomization-distributions-for-training-robust-locomotion-policies-1906.00410"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-correctness-and-sample-complexity-of-inverse-reinforcement-learning-1906.00422</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-correctness-and-sample-complexity-of-inverse-reinforcement-learning-1906.00422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-correctness-and-sample-complexity-of-inverse-reinforcement-learning-1906.00422"/></url>
<url><loc>https://scifaro.com/en/abs/feature-based-q-learning-for-two-player-stochastic-games-1906.00423</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-based-q-learning-for-two-player-stochastic-games-1906.00423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-based-q-learning-for-two-player-stochastic-games-1906.00423"/></url>
<url><loc>https://scifaro.com/en/abs/the-convergence-rate-of-neural-networks-for-learned-functions-of-different-frequencies-1906.00425</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-convergence-rate-of-neural-networks-for-learned-functions-of-different-frequencies-1906.00425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-convergence-rate-of-neural-networks-for-learned-functions-of-different-frequencies-1906.00425"/></url>
<url><loc>https://scifaro.com/en/abs/learner-aware-teaching-inverse-reinforcement-learning-with-preferences-and-constraints-1906.00429</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learner-aware-teaching-inverse-reinforcement-learning-with-preferences-and-constraints-1906.00429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learner-aware-teaching-inverse-reinforcement-learning-with-preferences-and-constraints-1906.00429"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-on-hyperparameters-and-their-interdependence-for-rl-generalization-1906.00431</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-on-hyperparameters-and-their-interdependence-for-rl-generalization-1906.00431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-on-hyperparameters-and-their-interdependence-for-rl-generalization-1906.00431"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-compression-and-expansion-in-deep-neural-networks-1906.00443</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-compression-and-expansion-in-deep-neural-networks-1906.00443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-compression-and-expansion-in-deep-neural-networks-1906.00443"/></url>
<url><loc>https://scifaro.com/en/abs/generating-diverse-high-fidelity-images-with-vq-vae-2-1906.00446</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-diverse-high-fidelity-images-with-vq-vae-2-1906.00446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-diverse-high-fidelity-images-with-vq-vae-2-1906.00446"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-bounds-for-structured-prediction-1906.00449</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-bounds-for-structured-prediction-1906.00449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-bounds-for-structured-prediction-1906.00449"/></url>
<url><loc>https://scifaro.com/en/abs/exact-inference-in-structured-prediction-1906.00451</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-inference-in-structured-prediction-1906.00451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-inference-in-structured-prediction-1906.00451"/></url>
<url><loc>https://scifaro.com/en/abs/radial-based-undersampling-for-imbalanced-data-classification-1906.00452</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/radial-based-undersampling-for-imbalanced-data-classification-1906.00452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/radial-based-undersampling-for-imbalanced-data-classification-1906.00452"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-crop-tolerance-to-heat-and-drought-a-deep-convolutional-neural-networks-approach-1906.00454</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-crop-tolerance-to-heat-and-drought-a-deep-convolutional-neural-networks-approach-1906.00454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-crop-tolerance-to-heat-and-drought-a-deep-convolutional-neural-networks-approach-1906.00454"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-radon-nikodym-spectral-approach-with-optimal-clustering-1906.00460</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-radon-nikodym-spectral-approach-with-optimal-clustering-1906.00460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-radon-nikodym-spectral-approach-with-optimal-clustering-1906.00460"/></url>
<url><loc>https://scifaro.com/en/abs/truncated-cauchy-non-negative-matrix-factorization-1906.00495</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truncated-cauchy-non-negative-matrix-factorization-1906.00495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truncated-cauchy-non-negative-matrix-factorization-1906.00495"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-generalized-adversarial-label-learning-1906.00512</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-generalized-adversarial-label-learning-1906.00512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-generalized-adversarial-label-learning-1906.00512"/></url>
<url><loc>https://scifaro.com/en/abs/model-selection-for-contextual-bandits-1906.00531</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-selection-for-contextual-bandits-1906.00531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-selection-for-contextual-bandits-1906.00531"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-8-bit-quantization-of-transformer-neural-machine-language-translation-model-1906.00532</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-8-bit-quantization-of-transformer-neural-machine-language-translation-model-1906.00532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-8-bit-quantization-of-transformer-neural-machine-language-translation-model-1906.00532"/></url>
<url><loc>https://scifaro.com/en/abs/towards-interactive-training-of-non-player-characters-in-video-games-1906.00535</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-interactive-training-of-non-player-characters-in-video-games-1906.00535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-interactive-training-of-non-player-characters-in-video-games-1906.00535"/></url>
<url><loc>https://scifaro.com/en/abs/coupled-vae-improved-accuracy-and-robustness-of-a-variational-autoencoder-1906.00536</loc><lastmod>2025-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupled-vae-improved-accuracy-and-robustness-of-a-variational-autoencoder-1906.00536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupled-vae-improved-accuracy-and-robustness-of-a-variational-autoencoder-1906.00536"/></url>
<url><loc>https://scifaro.com/en/abs/encoder-powered-generative-adversarial-networks-1906.00541</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encoder-powered-generative-adversarial-networks-1906.00541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encoder-powered-generative-adversarial-networks-1906.00541"/></url>
<url><loc>https://scifaro.com/en/abs/hera-partial-label-learning-by-combining-heterogeneous-loss-with-sparse-and-low-rank-regularization-1906.00551</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hera-partial-label-learning-by-combining-heterogeneous-loss-with-sparse-and-low-rank-regularization-1906.00551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hera-partial-label-learning-by-combining-heterogeneous-loss-with-sparse-and-low-rank-regularization-1906.00551"/></url>
<url><loc>https://scifaro.com/en/abs/factor-graph-neural-network-1906.00554</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factor-graph-neural-network-1906.00554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factor-graph-neural-network-1906.00554"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-robust-generalization-just-requires-more-unlabeled-data-1906.00555</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-robust-generalization-just-requires-more-unlabeled-data-1906.00555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-robust-generalization-just-requires-more-unlabeled-data-1906.00555"/></url>
<url><loc>https://scifaro.com/en/abs/c2p2-a-collective-cryptocurrency-up-down-price-prediction-engine-1906.00564</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/c2p2-a-collective-cryptocurrency-up-down-price-prediction-engine-1906.00564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/c2p2-a-collective-cryptocurrency-up-down-price-prediction-engine-1906.00564"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-oblivious-risk-aware-algorithms-for-multi-armed-bandits-with-unbounded-rewards-1906.00569</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-oblivious-risk-aware-algorithms-for-multi-armed-bandits-with-unbounded-rewards-1906.00569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-oblivious-risk-aware-algorithms-for-multi-armed-bandits-with-unbounded-rewards-1906.00569"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-by-orthogonal-nmf-model-and-non-convex-penalty-optimization-1906.00570</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-by-orthogonal-nmf-model-and-non-convex-penalty-optimization-1906.00570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-by-orthogonal-nmf-model-and-non-convex-penalty-optimization-1906.00570"/></url>
<url><loc>https://scifaro.com/en/abs/using-a-logarithmic-mapping-to-enable-lower-discount-factors-in-reinforcement-learning-1906.00572</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-a-logarithmic-mapping-to-enable-lower-discount-factors-in-reinforcement-learning-1906.00572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-a-logarithmic-mapping-to-enable-lower-discount-factors-in-reinforcement-learning-1906.00572"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-neural-wirings-1906.00586</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-neural-wirings-1906.00586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-neural-wirings-1906.00586"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-point-prediction-uncertainty-in-neural-networks-via-residual-estimation-with-an-i-o-kernel-1906.00588</loc><lastmod>2020-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-point-prediction-uncertainty-in-neural-networks-via-residual-estimation-with-an-i-o-kernel-1906.00588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-point-prediction-uncertainty-in-neural-networks-via-residual-estimation-with-an-i-o-kernel-1906.00588"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-with-optimal-transport-on-the-manifold-of-spd-matrices-1906.00616</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-with-optimal-transport-on-the-manifold-of-spd-matrices-1906.00616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-with-optimal-transport-on-the-manifold-of-spd-matrices-1906.00616"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-stable-interval-bounds-propagation-for-training-verifiably-robust-models-1906.00628</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-stable-interval-bounds-propagation-for-training-verifiably-robust-models-1906.00628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-stable-interval-bounds-propagation-for-training-verifiably-robust-models-1906.00628"/></url>
<url><loc>https://scifaro.com/en/abs/a-variational-approach-for-learning-from-positive-and-unlabeled-data-1906.00642</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variational-approach-for-learning-from-positive-and-unlabeled-data-1906.00642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variational-approach-for-learning-from-positive-and-unlabeled-data-1906.00642"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-of-new-sound-classes-using-generative-replay-1906.00654</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-of-new-sound-classes-using-generative-replay-1906.00654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-of-new-sound-classes-using-generative-replay-1906.00654"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-networks-for-operational-scenario-planning-of-renewable-energy-farms-a-study-on-wind-and-photovoltaic-1906.00662</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-operational-scenario-planning-of-renewable-energy-farms-a-study-on-wind-and-photovoltaic-1906.00662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-operational-scenario-planning-of-renewable-energy-farms-a-study-on-wind-and-photovoltaic-1906.00662"/></url>
<url><loc>https://scifaro.com/en/abs/nonstochastic-multiarmed-bandits-with-unrestricted-delays-1906.00670</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonstochastic-multiarmed-bandits-with-unrestricted-delays-1906.00670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonstochastic-multiarmed-bandits-with-unrestricted-delays-1906.00670"/></url>
<url><loc>https://scifaro.com/en/abs/dane-domain-adaptive-network-embedding-1906.00684</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dane-domain-adaptive-network-embedding-1906.00684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dane-domain-adaptive-network-embedding-1906.00684"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-with-hypernetworks-1906.00695</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-with-hypernetworks-1906.00695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-with-hypernetworks-1906.00695"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-risk-bounds-for-neural-networks-through-sparsity-based-compression-1906.00698</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-risk-bounds-for-neural-networks-through-sparsity-based-compression-1906.00698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-risk-bounds-for-neural-networks-through-sparsity-based-compression-1906.00698"/></url>
<url><loc>https://scifaro.com/en/abs/topological-autoencoders-1906.00722</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-autoencoders-1906.00722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-autoencoders-1906.00722"/></url>
<url><loc>https://scifaro.com/en/abs/policy-optimization-provably-converges-to-nash-equilibria-in-zero-sum-linear-quadratic-games-1906.00729</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-optimization-provably-converges-to-nash-equilibria-in-zero-sum-linear-quadratic-games-1906.00729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-optimization-provably-converges-to-nash-equilibria-in-zero-sum-linear-quadratic-games-1906.00729"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-generalizable-robustness-of-deep-neural-networks-by-stability-training-1906.00735</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-generalizable-robustness-of-deep-neural-networks-by-stability-training-1906.00735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-generalizable-robustness-of-deep-neural-networks-by-stability-training-1906.00735"/></url>
<url><loc>https://scifaro.com/en/abs/improving-minimal-gated-unit-for-sequential-data-1906.00748</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-minimal-gated-unit-for-sequential-data-1906.00748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-minimal-gated-unit-for-sequential-data-1906.00748"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-capability-of-neural-networks-on-spaces-of-probability-measures-and-tree-structured-domains-1906.00764</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-capability-of-neural-networks-on-spaces-of-probability-measures-and-tree-structured-domains-1906.00764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-capability-of-neural-networks-on-spaces-of-probability-measures-and-tree-structured-domains-1906.00764"/></url>
<url><loc>https://scifaro.com/en/abs/load-balancing-for-ultra-dense-networks-a-deep-reinforcement-learning-based-approach-1906.00767</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/load-balancing-for-ultra-dense-networks-a-deep-reinforcement-learning-based-approach-1906.00767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/load-balancing-for-ultra-dense-networks-a-deep-reinforcement-learning-based-approach-1906.00767"/></url>
<url><loc>https://scifaro.com/en/abs/blow-a-single-scale-hyperconditioned-flow-for-non-parallel-raw-audio-voice-conversion-1906.00794</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blow-a-single-scale-hyperconditioned-flow-for-non-parallel-raw-audio-voice-conversion-1906.00794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blow-a-single-scale-hyperconditioned-flow-for-non-parallel-raw-audio-voice-conversion-1906.00794"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-based-object-classification-by-known-and-unknown-features-based-on-text-queries-1906.00800</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-based-object-classification-by-known-and-unknown-features-based-on-text-queries-1906.00800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-based-object-classification-by-known-and-unknown-features-based-on-text-queries-1906.00800"/></url>
<url><loc>https://scifaro.com/en/abs/one-way-prototypical-networks-1906.00820</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-way-prototypical-networks-1906.00820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-way-prototypical-networks-1906.00820"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-estimation-of-sinusoid-frequencies-1906.00823</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-estimation-of-sinusoid-frequencies-1906.00823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-estimation-of-sinusoid-frequencies-1906.00823"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-body-image-acquisition-using-a-deep-neural-network-for-sensorimotor-prediction-1906.00825</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-body-image-acquisition-using-a-deep-neural-network-for-sensorimotor-prediction-1906.00825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-body-image-acquisition-using-a-deep-neural-network-for-sensorimotor-prediction-1906.00825"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-auxiliary-learning-1906.00852</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-auxiliary-learning-1906.00852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-auxiliary-learning-1906.00852"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reasoning-networks-thinking-fast-and-slow-1906.00855</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reasoning-networks-thinking-fast-and-slow-1906.00855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reasoning-networks-thinking-fast-and-slow-1906.00855"/></url>
<url><loc>https://scifaro.com/en/abs/secure-distributed-on-device-learning-networks-with-byzantine-adversaries-1906.00887</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secure-distributed-on-device-learning-networks-with-byzantine-adversaries-1906.00887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secure-distributed-on-device-learning-networks-with-byzantine-adversaries-1906.00887"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-by-maximizing-mutual-information-across-views-1906.00910</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-by-maximizing-mutual-information-across-views-1906.00910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-by-maximizing-mutual-information-across-views-1906.00910"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-density-extrapolation-using-a-dynamic-basis-approach-1906.00912</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-density-extrapolation-using-a-dynamic-basis-approach-1906.00912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-density-extrapolation-using-a-dynamic-basis-approach-1906.00912"/></url>
<url><loc>https://scifaro.com/en/abs/learning-interpretable-shapelets-for-time-series-classification-through-adversarial-regularization-1906.00917</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-interpretable-shapelets-for-time-series-classification-through-adversarial-regularization-1906.00917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-interpretable-shapelets-for-time-series-classification-through-adversarial-regularization-1906.00917"/></url>
<url><loc>https://scifaro.com/en/abs/a-necessary-and-sufficient-stability-notion-for-adaptive-generalization-1906.00930</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-necessary-and-sufficient-stability-notion-for-adaptive-generalization-1906.00930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-necessary-and-sufficient-stability-notion-for-adaptive-generalization-1906.00930"/></url>
<url><loc>https://scifaro.com/en/abs/big-data-clustering-k-means-or-k-indicators-1906.00938</loc><lastmod>2019-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/big-data-clustering-k-means-or-k-indicators-1906.00938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/big-data-clustering-k-means-or-k-indicators-1906.00938"/></url>
<url><loc>https://scifaro.com/en/abs/stabilizing-off-policy-q-learning-via-bootstrapping-error-reduction-1906.00949</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilizing-off-policy-q-learning-via-bootstrapping-error-reduction-1906.00949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilizing-off-policy-q-learning-via-bootstrapping-error-reduction-1906.00949"/></url>
<url><loc>https://scifaro.com/en/abs/frontal-low-rank-random-tensors-for-fine-grained-action-segmentation-1906.01004</loc><lastmod>2020-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frontal-low-rank-random-tensors-for-fine-grained-action-segmentation-1906.01004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frontal-low-rank-random-tensors-for-fine-grained-action-segmentation-1906.01004"/></url>
<url><loc>https://scifaro.com/en/abs/gated-recurrent-units-viewed-through-the-lens-of-continuous-time-dynamical-systems-1906.01005</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gated-recurrent-units-viewed-through-the-lens-of-continuous-time-dynamical-systems-1906.01005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gated-recurrent-units-viewed-through-the-lens-of-continuous-time-dynamical-systems-1906.01005"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-learning-of-mallows-block-model-1906.01009</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-learning-of-mallows-block-model-1906.01009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-learning-of-mallows-block-model-1906.01009"/></url>
<url><loc>https://scifaro.com/en/abs/coresets-for-estimating-means-and-mean-square-error-with-limited-greedy-samples-1906.01021</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coresets-for-estimating-means-and-mean-square-error-with-limited-greedy-samples-1906.01021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coresets-for-estimating-means-and-mean-square-error-with-limited-greedy-samples-1906.01021"/></url>
<url><loc>https://scifaro.com/en/abs/nodedrop-a-condition-for-reducing-network-size-without-effect-on-output-1906.01026</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nodedrop-a-condition-for-reducing-network-size-without-effect-on-output-1906.01026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nodedrop-a-condition-for-reducing-network-size-without-effect-on-output-1906.01026"/></url>
<url><loc>https://scifaro.com/en/abs/correctness-verification-of-neural-networks-1906.01030</loc><lastmod>2022-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correctness-verification-of-neural-networks-1906.01030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correctness-verification-of-neural-networks-1906.01030"/></url>
<url><loc>https://scifaro.com/en/abs/a-language-agnostic-model-for-semantic-source-code-labeling-1906.01032</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-language-agnostic-model-for-semantic-source-code-labeling-1906.01032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-language-agnostic-model-for-semantic-source-code-labeling-1906.01032"/></url>
<url><loc>https://scifaro.com/en/abs/a-perspective-on-objects-and-systematic-generalization-in-model-based-rl-1906.01035</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-perspective-on-objects-and-systematic-generalization-in-model-based-rl-1906.01035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-perspective-on-objects-and-systematic-generalization-in-model-based-rl-1906.01035"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-disentanglement-by-pairwise-similarities-1906.01044</loc><lastmod>2020-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-disentanglement-by-pairwise-similarities-1906.01044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-disentanglement-by-pairwise-similarities-1906.01044"/></url>
<url><loc>https://scifaro.com/en/abs/episodic-memory-in-lifelong-language-learning-1906.01076</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/episodic-memory-in-lifelong-language-learning-1906.01076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/episodic-memory-in-lifelong-language-learning-1906.01076"/></url>
<url><loc>https://scifaro.com/en/abs/do-place-cells-dream-of-conditional-probabilities-learning-neural-nystr-om-representations-1906.01102</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-place-cells-dream-of-conditional-probabilities-learning-neural-nystr-om-representations-1906.01102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-place-cells-dream-of-conditional-probabilities-learning-neural-nystr-om-representations-1906.01102"/></url>
<url><loc>https://scifaro.com/en/abs/rl-based-method-for-benchmarking-the-adversarial-resilience-and-robustness-of-deep-reinforcement-learning-policies-1906.01110</loc><lastmod>2024-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rl-based-method-for-benchmarking-the-adversarial-resilience-and-robustness-of-deep-reinforcement-learning-policies-1906.01110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rl-based-method-for-benchmarking-the-adversarial-resilience-and-robustness-of-deep-reinforcement-learning-policies-1906.01110"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-and-improvement-of-adversarial-training-in-dqn-agents-with-adversarially-guided-exploration-age-1906.01119</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-and-improvement-of-adversarial-training-in-dqn-agents-with-adversarially-guided-exploration-age-1906.01119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-and-improvement-of-adversarial-training-in-dqn-agents-with-adversarially-guided-exploration-age-1906.01119"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-exploitation-of-policy-imitation-1906.01121</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-exploitation-of-policy-imitation-1906.01121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-exploitation-of-policy-imitation-1906.01121"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-triggers-for-watermarking-of-deep-reinforcement-learning-policies-1906.01126</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-triggers-for-watermarking-of-deep-reinforcement-learning-policies-1906.01126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-triggers-for-watermarking-of-deep-reinforcement-learning-policies-1906.01126"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-reliability-optimization-for-reinforcement-learning-1906.01127</loc><lastmod>2024-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-reliability-optimization-for-reinforcement-learning-1906.01127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-reliability-optimization-for-reinforcement-learning-1906.01127"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-inter-layer-co-adaptation-by-classifier-anonymization-1906.01150</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-inter-layer-co-adaptation-by-classifier-anonymization-1906.01150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-inter-layer-co-adaptation-by-classifier-anonymization-1906.01150"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-in-the-field-of-renewable-energies-a-transfer-learning-framework-providing-power-forecasts-throughout-the-lifecycle-of-wind-farms-after-initial-connection-to-the-electrical-grid-1906.01168</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-in-the-field-of-renewable-energies-a-transfer-learning-framework-providing-power-forecasts-throughout-the-lifecycle-of-wind-farms-after-initial-connection-to-the-electrical-grid-1906.01168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-in-the-field-of-renewable-energies-a-transfer-learning-framework-providing-power-forecasts-throughout-the-lifecycle-of-wind-farms-after-initial-connection-to-the-electrical-grid-1906.01168"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-limitations-of-conditional-generative-models-1906.01171</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-limitations-of-conditional-generative-models-1906.01171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-limitations-of-conditional-generative-models-1906.01171"/></url>
<url><loc>https://scifaro.com/en/abs/on-privacy-protection-of-latent-dirichlet-allocation-model-training-1906.01178</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-privacy-protection-of-latent-dirichlet-allocation-model-training-1906.01178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-privacy-protection-of-latent-dirichlet-allocation-model-training-1906.01178"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-clear-the-market-1906.01184</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-clear-the-market-1906.01184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-clear-the-market-1906.01184"/></url>
<url><loc>https://scifaro.com/en/abs/learning-attention-based-embeddings-for-relation-prediction-in-knowledge-graphs-1906.01195</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-attention-based-embeddings-for-relation-prediction-in-knowledge-graphs-1906.01195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-attention-based-embeddings-for-relation-prediction-in-knowledge-graphs-1906.01195"/></url>
<url><loc>https://scifaro.com/en/abs/learning-transferable-cooperative-behavior-in-multi-agent-teams-1906.01202</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-transferable-cooperative-behavior-in-multi-agent-teams-1906.01202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-transferable-cooperative-behavior-in-multi-agent-teams-1906.01202"/></url>
<url><loc>https://scifaro.com/en/abs/a-strong-and-robust-baseline-for-text-image-matching-1906.01205</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-strong-and-robust-baseline-for-text-image-matching-1906.01205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-strong-and-robust-baseline-for-text-image-matching-1906.01205"/></url>
<url><loc>https://scifaro.com/en/abs/attributed-graph-clustering-via-adaptive-graph-convolution-1906.01210</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attributed-graph-clustering-via-adaptive-graph-convolution-1906.01210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attributed-graph-clustering-via-adaptive-graph-convolution-1906.01210"/></url>
<url><loc>https://scifaro.com/en/abs/conversational-contextual-bandit-algorithm-and-application-1906.01219</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conversational-contextual-bandit-algorithm-and-application-1906.01219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conversational-contextual-bandit-algorithm-and-application-1906.01219"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-graph-convolutional-network-technique-for-the-travelling-salesman-problem-1906.01227</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-graph-convolutional-network-technique-for-the-travelling-salesman-problem-1906.01227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-graph-convolutional-network-technique-for-the-travelling-salesman-problem-1906.01227"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-machine-learning-framework-for-analyzing-human-decision-making-through-learning-preferences-1906.01233</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-machine-learning-framework-for-analyzing-human-decision-making-through-learning-preferences-1906.01233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-machine-learning-framework-for-analyzing-human-decision-making-through-learning-preferences-1906.01233"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-hyperparameter-free-approach-to-decision-tree-construction-that-avoids-overfitting-by-design-1906.01246</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-hyperparameter-free-approach-to-decision-tree-construction-that-avoids-overfitting-by-design-1906.01246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-hyperparameter-free-approach-to-decision-tree-construction-that-avoids-overfitting-by-design-1906.01246"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-weisfeiler-lehman-graph-kernels-1906.01277</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-weisfeiler-lehman-graph-kernels-1906.01277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-weisfeiler-lehman-graph-kernels-1906.01277"/></url>
<url><loc>https://scifaro.com/en/abs/graduated-optimization-of-black-box-functions-1906.01279</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graduated-optimization-of-black-box-functions-1906.01279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graduated-optimization-of-black-box-functions-1906.01279"/></url>
<url><loc>https://scifaro.com/en/abs/information-competing-process-for-learning-diversified-representations-1906.01288</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-competing-process-for-learning-diversified-representations-1906.01288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-competing-process-for-learning-diversified-representations-1906.01288"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-unsupervised-domain-translation-1906.01292</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-unsupervised-domain-translation-1906.01292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-unsupervised-domain-translation-1906.01292"/></url>
<url><loc>https://scifaro.com/en/abs/architecture-selection-via-the-trade-off-between-accuracy-and-robustness-1906.01354</loc><lastmod>2025-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/architecture-selection-via-the-trade-off-between-accuracy-and-robustness-1906.01354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/architecture-selection-via-the-trade-off-between-accuracy-and-robustness-1906.01354"/></url>
<url><loc>https://scifaro.com/en/abs/autonomous-reinforcement-learning-of-multiple-interrelated-tasks-1906.01374</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autonomous-reinforcement-learning-of-multiple-interrelated-tasks-1906.01374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autonomous-reinforcement-learning-of-multiple-interrelated-tasks-1906.01374"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-error-bounds-for-gaussian-process-regression-with-application-to-safe-control-1906.01376</loc><lastmod>2024-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-error-bounds-for-gaussian-process-regression-with-application-to-safe-control-1906.01376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-error-bounds-for-gaussian-process-regression-with-application-to-safe-control-1906.01376"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-emergence-of-egocentric-spatial-structure-from-sensorimotor-prediction-1906.01401</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-emergence-of-egocentric-spatial-structure-from-sensorimotor-prediction-1906.01401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-emergence-of-egocentric-spatial-structure-from-sensorimotor-prediction-1906.01401"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-variance-analysis-of-gaussian-processes-with-application-to-average-learning-curves-1906.01404</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-variance-analysis-of-gaussian-processes-with-application-to-average-learning-curves-1906.01404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-variance-analysis-of-gaussian-processes-with-application-to-average-learning-curves-1906.01404"/></url>
<url><loc>https://scifaro.com/en/abs/rl4health-crowdsourcing-reinforcement-learning-for-knee-replacement-pathway-optimization-1906.01407</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rl4health-crowdsourcing-reinforcement-learning-for-knee-replacement-pathway-optimization-1906.01407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rl4health-crowdsourcing-reinforcement-learning-for-knee-replacement-pathway-optimization-1906.01407"/></url>
<url><loc>https://scifaro.com/en/abs/hypothesis-driven-skill-discovery-for-hierarchical-deep-reinforcement-learning-1906.01408</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypothesis-driven-skill-discovery-for-hierarchical-deep-reinforcement-learning-1906.01408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypothesis-driven-skill-discovery-for-hierarchical-deep-reinforcement-learning-1906.01408"/></url>
<url><loc>https://scifaro.com/en/abs/regularizing-black-box-models-for-improved-interpretability-hill-2019-version-1906.01431</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizing-black-box-models-for-improved-interpretability-hill-2019-version-1906.01431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizing-black-box-models-for-improved-interpretability-hill-2019-version-1906.01431"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-augmented-column-networks-guiding-deep-learning-with-advice-1906.01432</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-augmented-column-networks-guiding-deep-learning-with-advice-1906.01432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-augmented-column-networks-guiding-deep-learning-with-advice-1906.01432"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-optimal-guaranteed-algorithm-for-learning-sub-interval-relationships-in-time-series-1906.01450</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-optimal-guaranteed-algorithm-for-learning-sub-interval-relationships-in-time-series-1906.01450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-optimal-guaranteed-algorithm-for-learning-sub-interval-relationships-in-time-series-1906.01450"/></url>
<url><loc>https://scifaro.com/en/abs/options-as-responses-grounding-behavioural-hierarchies-in-multi-agent-rl-1906.01470</loc><lastmod>2020-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/options-as-responses-grounding-behavioural-hierarchies-in-multi-agent-rl-1906.01470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/options-as-responses-grounding-behavioural-hierarchies-in-multi-agent-rl-1906.01470"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-energy-efficient-mixed-precision-neural-networks-through-principal-component-analysis-for-edge-intelligence-1906.01493</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-energy-efficient-mixed-precision-neural-networks-through-principal-component-analysis-for-edge-intelligence-1906.01493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-energy-efficient-mixed-precision-neural-networks-through-principal-component-analysis-for-edge-intelligence-1906.01493"/></url>
<url><loc>https://scifaro.com/en/abs/embedded-hyper-parameter-tuning-by-simulated-annealing-1906.01504</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedded-hyper-parameter-tuning-by-simulated-annealing-1906.01504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedded-hyper-parameter-tuning-by-simulated-annealing-1906.01504"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-physics-based-simulations-using-neural-network-proxies-an-application-in-oil-reservoir-modeling-1906.01510</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-physics-based-simulations-using-neural-network-proxies-an-application-in-oil-reservoir-modeling-1906.01510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-physics-based-simulations-using-neural-network-proxies-an-application-in-oil-reservoir-modeling-1906.01510"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-is-a-form-of-data-dependent-operator-norm-regularization-1906.01527</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-is-a-form-of-data-dependent-operator-norm-regularization-1906.01527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-is-a-form-of-data-dependent-operator-norm-regularization-1906.01527"/></url>
<url><loc>https://scifaro.com/en/abs/the-intrinsic-robustness-of-stochastic-bandits-to-strategic-manipulation-1906.01528</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-intrinsic-robustness-of-stochastic-bandits-to-strategic-manipulation-1906.01528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-intrinsic-robustness-of-stochastic-bandits-to-strategic-manipulation-1906.01528"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-networks-in-computer-vision-a-survey-and-taxonomy-1906.01529</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-networks-in-computer-vision-a-survey-and-taxonomy-1906.01529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-networks-in-computer-vision-a-survey-and-taxonomy-1906.01529"/></url>
<url><loc>https://scifaro.com/en/abs/statistically-significant-discriminative-patterns-searching-1906.01581</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistically-significant-discriminative-patterns-searching-1906.01581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistically-significant-discriminative-patterns-searching-1906.01581"/></url>
<url><loc>https://scifaro.com/en/abs/nemesyst-a-hybrid-parallelism-deep-learning-based-framework-applied-for-internet-of-things-enabled-food-retailing-refrigeration-systems-1906.01600</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nemesyst-a-hybrid-parallelism-deep-learning-based-framework-applied-for-internet-of-things-enabled-food-retailing-refrigeration-systems-1906.01600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nemesyst-a-hybrid-parallelism-deep-learning-based-framework-applied-for-internet-of-things-enabled-food-retailing-refrigeration-systems-1906.01600"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-representation-classification-via-screening-for-graphs-1906.01601</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-representation-classification-via-screening-for-graphs-1906.01601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-representation-classification-via-screening-for-graphs-1906.01601"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-online-egalitarian-learning-in-general-sum-repeated-matrix-games-1906.01609</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-online-egalitarian-learning-in-general-sum-repeated-matrix-games-1906.01609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-online-egalitarian-learning-in-general-sum-repeated-matrix-games-1906.01609"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-scalable-bayesian-deep-learning-methods-for-robust-computer-vision-1906.01620</loc><lastmod>2020-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-scalable-bayesian-deep-learning-methods-for-robust-computer-vision-1906.01620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-scalable-bayesian-deep-learning-methods-for-robust-computer-vision-1906.01620"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-evaluation-via-off-policy-classification-1906.01624</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-evaluation-via-off-policy-classification-1906.01624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-evaluation-via-off-policy-classification-1906.01624"/></url>
<url><loc>https://scifaro.com/en/abs/encoding-invariances-in-deep-generative-models-1906.01626</loc><lastmod>2019-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encoding-invariances-in-deep-generative-models-1906.01626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encoding-invariances-in-deep-generative-models-1906.01626"/></url>
<url><loc>https://scifaro.com/en/abs/exact-combinatorial-optimization-with-graph-convolutional-neural-networks-1906.01629</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-combinatorial-optimization-with-graph-convolutional-neural-networks-1906.01629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-combinatorial-optimization-with-graph-convolutional-neural-networks-1906.01629"/></url>
<url><loc>https://scifaro.com/en/abs/neuromorphic-architecture-optimization-for-task-specific-dynamic-learning-1906.01668</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuromorphic-architecture-optimization-for-task-specific-dynamic-learning-1906.01668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuromorphic-architecture-optimization-for-task-specific-dynamic-learning-1906.01668"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dynamic-polynomial-proofs-1906.01681</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dynamic-polynomial-proofs-1906.01681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dynamic-polynomial-proofs-1906.01681"/></url>
<url><loc>https://scifaro.com/en/abs/a-meta-learning-recommender-system-for-hyperparameter-tuning-predicting-when-tuning-improves-svm-classifiers-1906.01684</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-meta-learning-recommender-system-for-hyperparameter-tuning-predicting-when-tuning-improves-svm-classifiers-1906.01684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-meta-learning-recommender-system-for-hyperparameter-tuning-predicting-when-tuning-improves-svm-classifiers-1906.01684"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-low-complexity-liquid-state-machines-1906.01695</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-low-complexity-liquid-state-machines-1906.01695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-low-complexity-liquid-state-machines-1906.01695"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-the-robustness-of-bayesian-dark-knowledge-to-posterior-uncertainty-1906.01724</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-the-robustness-of-bayesian-dark-knowledge-to-posterior-uncertainty-1906.01724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-the-robustness-of-bayesian-dark-knowledge-to-posterior-uncertainty-1906.01724"/></url>
<url><loc>https://scifaro.com/en/abs/neuropathic-pain-diagnosis-simulator-for-causal-discovery-algorithm-evaluation-1906.01732</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuropathic-pain-diagnosis-simulator-for-causal-discovery-algorithm-evaluation-1906.01732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuropathic-pain-diagnosis-simulator-for-causal-discovery-algorithm-evaluation-1906.01732"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-training-with-heterogeneous-data-bridging-median-and-mean-based-algorithms-1906.01736</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-training-with-heterogeneous-data-bridging-median-and-mean-based-algorithms-1906.01736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-training-with-heterogeneous-data-bridging-median-and-mean-based-algorithms-1906.01736"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-linear-rule-models-1906.01761</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-linear-rule-models-1906.01761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-linear-rule-models-1906.01761"/></url>
<url><loc>https://scifaro.com/en/abs/lifelong-learning-with-a-changing-action-set-1906.01770</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifelong-learning-with-a-changing-action-set-1906.01770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifelong-learning-with-a-changing-action-set-1906.01770"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-when-all-actions-are-not-always-available-1906.01772</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-when-all-actions-are-not-always-available-1906.01772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-when-all-actions-are-not-always-available-1906.01772"/></url>
<url><loc>https://scifaro.com/en/abs/global-optimality-guarantees-for-policy-gradient-methods-1906.01786</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-optimality-guarantees-for-policy-gradient-methods-1906.01786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-optimality-guarantees-for-policy-gradient-methods-1906.01786"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-few-shot-learning-based-on-directional-statistics-1906.01819</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-few-shot-learning-based-on-directional-statistics-1906.01819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-few-shot-learning-based-on-directional-statistics-1906.01819"/></url>
<url><loc>https://scifaro.com/en/abs/ccmi-classifier-based-conditional-mutual-information-estimation-1906.01824</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ccmi-classifier-based-conditional-mutual-information-estimation-1906.01824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ccmi-classifier-based-conditional-mutual-information-estimation-1906.01824"/></url>
<url><loc>https://scifaro.com/en/abs/coresets-for-data-efficient-training-of-machine-learning-models-1906.01827</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coresets-for-data-efficient-training-of-machine-learning-models-1906.01827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coresets-for-data-efficient-training-of-machine-learning-models-1906.01827"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-graph-convolutional-networks-in-the-absence-of-graph-data-and-adversarial-settings-1906.01852</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-graph-convolutional-networks-in-the-absence-of-graph-data-and-adversarial-settings-1906.01852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-graph-convolutional-networks-in-the-absence-of-graph-data-and-adversarial-settings-1906.01852"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-generative-models-for-graphs-with-graph-attention-mechanism-1906.01861</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-generative-models-for-graphs-with-graph-attention-mechanism-1906.01861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-generative-models-for-graphs-with-graph-attention-mechanism-1906.01861"/></url>
<url><loc>https://scifaro.com/en/abs/enumeration-of-distinct-support-vectors-for-interactive-decision-making-1906.01876</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enumeration-of-distinct-support-vectors-for-interactive-decision-making-1906.01876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enumeration-of-distinct-support-vectors-for-interactive-decision-making-1906.01876"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-risk-minimization-under-random-censorship-theory-and-practice-1906.01908</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-risk-minimization-under-random-censorship-theory-and-practice-1906.01908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-risk-minimization-under-random-censorship-theory-and-practice-1906.01908"/></url>
<url><loc>https://scifaro.com/en/abs/human-activity-recognition-with-convolutional-neural-netowrks-1906.01935</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-activity-recognition-with-convolutional-neural-netowrks-1906.01935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-activity-recognition-with-convolutional-neural-netowrks-1906.01935"/></url>
<url><loc>https://scifaro.com/en/abs/the-secrets-of-machine-learning-ten-things-you-wish-you-had-known-earlier-to-be-more-effective-at-data-analysis-1906.01998</loc><lastmod>2019-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-secrets-of-machine-learning-ten-things-you-wish-you-had-known-earlier-to-be-more-effective-at-data-analysis-1906.01998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-secrets-of-machine-learning-ten-things-you-wish-you-had-known-earlier-to-be-more-effective-at-data-analysis-1906.01998"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-and-system-identification-for-estimation-in-physical-systems-1906.02003</loc><lastmod>2024-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-and-system-identification-for-estimation-in-physical-systems-1906.02003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-and-system-identification-for-estimation-in-physical-systems-1906.02003"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-and-differentially-private-predictions-1906.02004</loc><lastmod>2020-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-and-differentially-private-predictions-1906.02004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-and-differentially-private-predictions-1906.02004"/></url>
<url><loc>https://scifaro.com/en/abs/c-eval-a-unified-metric-to-evaluate-feature-based-explanations-via-perturbation-1906.02032</loc><lastmod>2020-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/c-eval-a-unified-metric-to-evaluate-feature-based-explanations-via-perturbation-1906.02032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/c-eval-a-unified-metric-to-evaluate-feature-based-explanations-via-perturbation-1906.02032"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-use-of-pairwise-distance-learning-for-brain-signal-classification-with-limited-observations-1906.02076</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-use-of-pairwise-distance-learning-for-brain-signal-classification-with-limited-observations-1906.02076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-use-of-pairwise-distance-learning-for-brain-signal-classification-with-limited-observations-1906.02076"/></url>
<url><loc>https://scifaro.com/en/abs/got-an-optimal-transport-framework-for-graph-comparison-1906.02085</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/got-an-optimal-transport-framework-for-graph-comparison-1906.02085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/got-an-optimal-transport-framework-for-graph-comparison-1906.02085"/></url>
<url><loc>https://scifaro.com/en/abs/diameter-based-interactive-structure-discovery-1906.02101</loc><lastmod>2020-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diameter-based-interactive-structure-discovery-1906.02101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diameter-based-interactive-structure-discovery-1906.02101"/></url>
<url><loc>https://scifaro.com/en/abs/latent-weights-do-not-exist-rethinking-binarized-neural-network-optimization-1906.02107</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-weights-do-not-exist-rethinking-binarized-neural-network-optimization-1906.02107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-weights-do-not-exist-rethinking-binarized-neural-network-optimization-1906.02107"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-explanation-methods-for-deep-learning-in-security-1906.02108</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-explanation-methods-for-deep-learning-in-security-1906.02108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-explanation-methods-for-deep-learning-in-security-1906.02108"/></url>
<url><loc>https://scifaro.com/en/abs/can-graph-neural-networks-help-logic-reasoning-1906.02111</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-graph-neural-networks-help-logic-reasoning-1906.02111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-graph-neural-networks-help-logic-reasoning-1906.02111"/></url>
<url><loc>https://scifaro.com/en/abs/physics-enhanced-data-driven-models-with-variational-gaussian-processes-1906.02160</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-enhanced-data-driven-models-with-variational-gaussian-processes-1906.02160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-enhanced-data-driven-models-with-variational-gaussian-processes-1906.02160"/></url>
<url><loc>https://scifaro.com/en/abs/data-preprocessing-to-mitigate-bias-a-maximum-entropy-based-approach-1906.02164</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-preprocessing-to-mitigate-bias-a-maximum-entropy-based-approach-1906.02164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-preprocessing-to-mitigate-bias-a-maximum-entropy-based-approach-1906.02164"/></url>
<url><loc>https://scifaro.com/en/abs/do-image-classifiers-generalize-across-time-1906.02168</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-image-classifiers-generalize-across-time-1906.02168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-image-classifiers-generalize-across-time-1906.02168"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-feature-label-dependence-using-gini-distance-statistics-1906.02171</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-feature-label-dependence-using-gini-distance-statistics-1906.02171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-feature-label-dependence-using-gini-distance-statistics-1906.02171"/></url>
<url><loc>https://scifaro.com/en/abs/break-the-ceiling-stronger-multi-scale-deep-graph-convolutional-networks-1906.02174</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/break-the-ceiling-stronger-multi-scale-deep-graph-convolutional-networks-1906.02174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/break-the-ceiling-stronger-multi-scale-deep-graph-convolutional-networks-1906.02174"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-active-learning-with-abstention-feedbacks-1906.02179</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-active-learning-with-abstention-feedbacks-1906.02179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-active-learning-with-abstention-feedbacks-1906.02179"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-neural-dag-learning-1906.02226</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-neural-dag-learning-1906.02226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-neural-dag-learning-1906.02226"/></url>
<url><loc>https://scifaro.com/en/abs/complex-evolution-recurrent-neural-networks-cernns-1906.02246</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complex-evolution-recurrent-neural-networks-cernns-1906.02246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complex-evolution-recurrent-neural-networks-cernns-1906.02246"/></url>
<url><loc>https://scifaro.com/en/abs/deep-q-learning-for-directed-acyclic-graph-generation-1906.02280</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-q-learning-for-directed-acyclic-graph-generation-1906.02280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-q-learning-for-directed-acyclic-graph-generation-1906.02280"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-gradient-based-attacks-with-symbolic-intervals-1906.02282</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-gradient-based-attacks-with-symbolic-intervals-1906.02282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-gradient-based-attacks-with-symbolic-intervals-1906.02282"/></url>
<url><loc>https://scifaro.com/en/abs/automated-machine-learning-state-of-the-art-and-open-challenges-1906.02287</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-machine-learning-state-of-the-art-and-open-challenges-1906.02287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-machine-learning-state-of-the-art-and-open-challenges-1906.02287"/></url>
<url><loc>https://scifaro.com/en/abs/brain-network-clustering-via-kernel-arma-modeling-and-the-grassmannian-1906.02292</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/brain-network-clustering-via-kernel-arma-modeling-and-the-grassmannian-1906.02292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/brain-network-clustering-via-kernel-arma-modeling-and-the-grassmannian-1906.02292"/></url>
<url><loc>https://scifaro.com/en/abs/teaching-ai-to-explain-its-decisions-using-embeddings-and-multi-task-learning-1906.02299</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/teaching-ai-to-explain-its-decisions-using-embeddings-and-multi-task-learning-1906.02299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/teaching-ai-to-explain-its-decisions-using-embeddings-and-multi-task-learning-1906.02299"/></url>
<url><loc>https://scifaro.com/en/abs/a-tunable-loss-function-for-robust-classification-calibration-landscape-and-generalization-1906.02314</loc><lastmod>2022-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tunable-loss-function-for-robust-classification-calibration-landscape-and-generalization-1906.02314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tunable-loss-function-for-robust-classification-calibration-landscape-and-generalization-1906.02314"/></url>
<url><loc>https://scifaro.com/en/abs/demo-net-degree-specific-graph-neural-networks-for-node-and-graph-classification-1906.02319</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demo-net-degree-specific-graph-neural-networks-for-node-and-graph-classification-1906.02319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demo-net-degree-specific-graph-neural-networks-for-node-and-graph-classification-1906.02319"/></url>
<url><loc>https://scifaro.com/en/abs/finding-friend-and-foe-in-multi-agent-games-1906.02330</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-friend-and-foe-in-multi-agent-games-1906.02330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-friend-and-foe-in-multi-agent-games-1906.02330"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-sarah-and-beyond-1906.02351</loc><lastmod>2020-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-sarah-and-beyond-1906.02351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-sarah-and-beyond-1906.02351"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-subsampled-gauss-newton-and-natural-gradient-methods-for-training-neural-networks-1906.02353</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-subsampled-gauss-newton-and-natural-gradient-methods-for-training-neural-networks-1906.02353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-subsampled-gauss-newton-and-natural-gradient-methods-for-training-neural-networks-1906.02353"/></url>
<url><loc>https://scifaro.com/en/abs/neural-sde-stabilizing-neural-ode-networks-with-stochastic-noise-1906.02355</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-sde-stabilizing-neural-ode-networks-with-stochastic-noise-1906.02355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-sde-stabilizing-neural-ode-networks-with-stochastic-noise-1906.02355"/></url>
<url><loc>https://scifaro.com/en/abs/asp-based-discovery-of-semi-markovian-causal-models-under-weaker-assumptions-1906.02385</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asp-based-discovery-of-semi-markovian-causal-models-under-weaker-assumptions-1906.02385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asp-based-discovery-of-semi-markovian-causal-models-under-weaker-assumptions-1906.02385"/></url>
<url><loc>https://scifaro.com/en/abs/sparsesense-human-activity-recognition-from-highly-sparse-sensor-data-streams-using-set-based-neural-networks-1906.02399</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsesense-human-activity-recognition-from-highly-sparse-sensor-data-streams-using-set-based-neural-networks-1906.02399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsesense-human-activity-recognition-from-highly-sparse-sensor-data-streams-using-set-based-neural-networks-1906.02399"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-guided-continual-learning-with-bayesian-neural-networks-1906.02425</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-guided-continual-learning-with-bayesian-neural-networks-1906.02425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-guided-continual-learning-with-bayesian-neural-networks-1906.02425"/></url>
<url><loc>https://scifaro.com/en/abs/amortized-inference-of-variational-bounds-for-learning-noisy-or-1906.02428</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortized-inference-of-variational-bounds-for-learning-noisy-or-1906.02428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortized-inference-of-variational-bounds-for-learning-noisy-or-1906.02428"/></url>
<url><loc>https://scifaro.com/en/abs/nonconvex-approach-for-sparse-and-low-rank-constrained-models-with-dual-momentum-1906.02433</loc><lastmod>2024-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonconvex-approach-for-sparse-and-low-rank-constrained-models-with-dual-momentum-1906.02433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonconvex-approach-for-sparse-and-low-rank-constrained-models-with-dual-momentum-1906.02433"/></url>
<url><loc>https://scifaro.com/en/abs/complete-dictionary-learning-via-ell-4-norm-maximization-over-the-orthogonal-group-1906.02435</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complete-dictionary-learning-via-ell-4-norm-maximization-over-the-orthogonal-group-1906.02435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complete-dictionary-learning-via-ell-4-norm-maximization-over-the-orthogonal-group-1906.02435"/></url>
<url><loc>https://scifaro.com/en/abs/primal-dual-block-frank-wolfe-1906.02436</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/primal-dual-block-frank-wolfe-1906.02436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/primal-dual-block-frank-wolfe-1906.02436"/></url>
<url><loc>https://scifaro.com/en/abs/should-adversarial-attacks-use-pixel-p-norm-1906.02439</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/should-adversarial-attacks-use-pixel-p-norm-1906.02439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/should-adversarial-attacks-use-pixel-p-norm-1906.02439"/></url>
<url><loc>https://scifaro.com/en/abs/fault-diagnosis-of-rotary-machines-using-deep-convolutional-neural-network-with-three-axis-signal-input-1906.02444</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fault-diagnosis-of-rotary-machines-using-deep-convolutional-neural-network-with-three-axis-signal-input-1906.02444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fault-diagnosis-of-rotary-machines-using-deep-convolutional-neural-network-with-three-axis-signal-input-1906.02444"/></url>
<url><loc>https://scifaro.com/en/abs/clustered-reinforcement-learning-1906.02457</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustered-reinforcement-learning-1906.02457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustered-reinforcement-learning-1906.02457"/></url>
<url><loc>https://scifaro.com/en/abs/using-anomaly-detection-to-support-classification-of-fast-running-packaging-processes-1906.02473</loc><lastmod>2024-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-anomaly-detection-to-support-classification-of-fast-running-packaging-processes-1906.02473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-anomaly-detection-to-support-classification-of-fast-running-packaging-processes-1906.02473"/></url>
<url><loc>https://scifaro.com/en/abs/covariance-in-physics-and-convolutional-neural-networks-1906.02481</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariance-in-physics-and-convolutional-neural-networks-1906.02481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariance-in-physics-and-convolutional-neural-networks-1906.02481"/></url>
<url><loc>https://scifaro.com/en/abs/towards-interpretable-reinforcement-learning-using-attention-augmented-agents-1906.02500</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-interpretable-reinforcement-learning-using-attention-augmented-agents-1906.02500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-interpretable-reinforcement-learning-using-attention-augmented-agents-1906.02500"/></url>
<url><loc>https://scifaro.com/en/abs/gradual-machine-learning-for-aspect-level-sentiment-analysis-1906.02502</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradual-machine-learning-for-aspect-level-sentiment-analysis-1906.02502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradual-machine-learning-for-aspect-level-sentiment-analysis-1906.02502"/></url>
<url><loc>https://scifaro.com/en/abs/guided-learning-for-weakly-labeled-semi-supervised-sound-event-detection-1906.02517</loc><lastmod>2020-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guided-learning-for-weakly-labeled-semi-supervised-sound-event-detection-1906.02517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guided-learning-for-weakly-labeled-semi-supervised-sound-event-detection-1906.02517"/></url>
<url><loc>https://scifaro.com/en/abs/pen-ultimate-dnn-pruning-1906.02535</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pen-ultimate-dnn-pruning-1906.02535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pen-ultimate-dnn-pruning-1906.02535"/></url>
<url><loc>https://scifaro.com/en/abs/localizing-catastrophic-forgetting-in-neural-networks-1906.02568</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/localizing-catastrophic-forgetting-in-neural-networks-1906.02568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/localizing-catastrophic-forgetting-in-neural-networks-1906.02568"/></url>
<url><loc>https://scifaro.com/en/abs/gradio-hassle-free-sharing-and-testing-of-ml-models-in-the-wild-1906.02569</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradio-hassle-free-sharing-and-testing-of-ml-models-in-the-wild-1906.02569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradio-hassle-free-sharing-and-testing-of-ml-models-in-the-wild-1906.02569"/></url>
<url><loc>https://scifaro.com/en/abs/class-conditional-compression-and-disentanglement-bridging-the-gap-between-neural-networks-and-naive-bayes-classifiers-1906.02576</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-conditional-compression-and-disentanglement-bridging-the-gap-between-neural-networks-and-naive-bayes-classifiers-1906.02576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-conditional-compression-and-disentanglement-bridging-the-gap-between-neural-networks-and-naive-bayes-classifiers-1906.02576"/></url>
<url><loc>https://scifaro.com/en/abs/flexibly-fair-representation-learning-by-disentanglement-1906.02589</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexibly-fair-representation-learning-by-disentanglement-1906.02589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexibly-fair-representation-learning-by-disentanglement-1906.02589"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effectiveness-of-laser-speckle-contrast-imaging-and-deep-neural-networks-for-detecting-known-and-unknown-fingerprint-presentation-attacks-1906.02595</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effectiveness-of-laser-speckle-contrast-imaging-and-deep-neural-networks-for-detecting-known-and-unknown-fingerprint-presentation-attacks-1906.02595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effectiveness-of-laser-speckle-contrast-imaging-and-deep-neural-networks-for-detecting-known-and-unknown-fingerprint-presentation-attacks-1906.02595"/></url>
<url><loc>https://scifaro.com/en/abs/multi-frequency-vector-diffusion-maps-1906.02605</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-frequency-vector-diffusion-maps-1906.02605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-frequency-vector-diffusion-maps-1906.02605"/></url>
<url><loc>https://scifaro.com/en/abs/impact-of-prior-knowledge-and-data-correlation-on-privacy-leakage-a-unified-analysis-1906.02606</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impact-of-prior-knowledge-and-data-correlation-on-privacy-leakage-a-unified-analysis-1906.02606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impact-of-prior-knowledge-and-data-correlation-on-privacy-leakage-a-unified-analysis-1906.02606"/></url>
<url><loc>https://scifaro.com/en/abs/improving-robustness-without-sacrificing-accuracy-with-patch-gaussian-augmentation-1906.02611</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-robustness-without-sacrificing-accuracy-with-patch-gaussian-augmentation-1906.02611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-robustness-without-sacrificing-accuracy-with-patch-gaussian-augmentation-1906.02611"/></url>
<url><loc>https://scifaro.com/en/abs/bad-global-minima-exist-and-sgd-can-reach-them-1906.02613</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bad-global-minima-exist-and-sgd-can-reach-them-1906.02613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bad-global-minima-exist-and-sgd-can-reach-them-1906.02613"/></url>
<url><loc>https://scifaro.com/en/abs/when-does-label-smoothing-help-1906.02629</loc><lastmod>2020-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-does-label-smoothing-help-1906.02629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-does-label-smoothing-help-1906.02629"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-inference-for-consumer-choice-across-many-product-categories-1906.02635</loc><lastmod>2023-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-inference-for-consumer-choice-across-many-product-categories-1906.02635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-inference-for-consumer-choice-across-many-product-categories-1906.02635"/></url>
<url><loc>https://scifaro.com/en/abs/near-neighbor-who-is-the-fairest-of-them-all-1906.02640</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-neighbor-who-is-the-fairest-of-them-all-1906.02640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-neighbor-who-is-the-fairest-of-them-all-1906.02640"/></url>
<url><loc>https://scifaro.com/en/abs/an-extensible-interactive-interface-for-agent-design-1906.02641</loc><lastmod>2019-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-extensible-interactive-interface-for-agent-design-1906.02641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-extensible-interactive-interface-for-agent-design-1906.02641"/></url>
<url><loc>https://scifaro.com/en/abs/energy-predictive-models-with-limited-data-using-transfer-learning-1906.02646</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-predictive-models-with-limited-data-using-transfer-learning-1906.02646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-predictive-models-with-limited-data-using-transfer-learning-1906.02646"/></url>
<url><loc>https://scifaro.com/en/abs/toward-a-characterization-of-loss-functions-for-distribution-learning-1906.02652</loc><lastmod>2019-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-a-characterization-of-loss-functions-for-distribution-learning-1906.02652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-a-characterization-of-loss-functions-for-distribution-learning-1906.02652"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-and-visualization-in-clinical-decision-support-current-state-and-future-directions-1906.02664</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-and-visualization-in-clinical-decision-support-current-state-and-future-directions-1906.02664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-and-visualization-in-clinical-decision-support-current-state-and-future-directions-1906.02664"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-machine-learning-to-accidents-detection-at-directional-drilling-1906.02667</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-machine-learning-to-accidents-detection-at-directional-drilling-1906.02667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-machine-learning-to-accidents-detection-at-directional-drilling-1906.02667"/></url>
<url><loc>https://scifaro.com/en/abs/an-introduction-to-variational-autoencoders-1906.02691</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-introduction-to-variational-autoencoders-1906.02691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-introduction-to-variational-autoencoders-1906.02691"/></url>
<url><loc>https://scifaro.com/en/abs/deep-semi-supervised-anomaly-detection-1906.02694</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-semi-supervised-anomaly-detection-1906.02694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-semi-supervised-anomaly-detection-1906.02694"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-co-learning-on-mathcal-g-manifolds-across-irreducible-representations-1906.02707</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-co-learning-on-mathcal-g-manifolds-across-irreducible-representations-1906.02707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-co-learning-on-mathcal-g-manifolds-across-irreducible-representations-1906.02707"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-and-measuring-the-geometry-of-bert-1906.02715</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-and-measuring-the-geometry-of-bert-1906.02715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-and-measuring-the-geometry-of-bert-1906.02715"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-gradient-based-meta-learning-methods-1906.02717</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-gradient-based-meta-learning-methods-1906.02717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-gradient-based-meta-learning-methods-1906.02717"/></url>
<url><loc>https://scifaro.com/en/abs/a-look-at-the-effect-of-sample-design-on-generalization-through-the-lens-of-spectral-analysis-1906.02732</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-look-at-the-effect-of-sample-design-on-generalization-through-the-lens-of-spectral-analysis-1906.02732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-look-at-the-effect-of-sample-design-on-generalization-through-the-lens-of-spectral-analysis-1906.02732"/></url>
<url><loc>https://scifaro.com/en/abs/deepmdp-learning-continuous-latent-space-models-for-representation-learning-1906.02736</loc><lastmod>2019-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepmdp-learning-continuous-latent-space-models-for-representation-learning-1906.02736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepmdp-learning-continuous-latent-space-models-for-representation-learning-1906.02736"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-improving-transformer-from-a-multi-particle-dynamic-system-point-of-view-1906.02762</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-improving-transformer-from-a-multi-particle-dynamic-system-point-of-view-1906.02762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-improving-transformer-from-a-multi-particle-dynamic-system-point-of-view-1906.02762"/></url>
<url><loc>https://scifaro.com/en/abs/improving-exploration-in-soft-actor-critic-with-normalizing-flows-policies-1906.02771</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-exploration-in-soft-actor-critic-with-normalizing-flows-policies-1906.02771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-exploration-in-soft-actor-critic-with-normalizing-flows-policies-1906.02771"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-gated-neural-networks-1906.02777</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-gated-neural-networks-1906.02777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-gated-neural-networks-1906.02777"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-approach-to-model-exploration-for-value-function-learning-1906.02789</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-approach-to-model-exploration-for-value-function-learning-1906.02789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-approach-to-model-exploration-for-value-function-learning-1906.02789"/></url>
<url><loc>https://scifaro.com/en/abs/fspool-learning-set-representations-with-featurewise-sort-pooling-1906.02795</loc><lastmod>2020-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fspool-learning-set-representations-with-featurewise-sort-pooling-1906.02795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fspool-learning-set-representations-with-featurewise-sort-pooling-1906.02795"/></url>
<url><loc>https://scifaro.com/en/abs/intention-aware-long-horizon-trajectory-prediction-of-surrounding-vehicles-using-dual-lstm-networks-1906.02815</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intention-aware-long-horizon-trajectory-prediction-of-surrounding-vehicles-using-dual-lstm-networks-1906.02815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intention-aware-long-horizon-trajectory-prediction-of-surrounding-vehicles-using-dual-lstm-networks-1906.02815"/></url>
<url><loc>https://scifaro.com/en/abs/robust-attacks-against-multiple-classifiers-1906.02816</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-attacks-against-multiple-classifiers-1906.02816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-attacks-against-multiple-classifiers-1906.02816"/></url>
<url><loc>https://scifaro.com/en/abs/from-caesar-cipher-to-unsupervised-learning-a-new-method-for-classifier-parameter-estimation-1906.02826</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-caesar-cipher-to-unsupervised-learning-a-new-method-for-classifier-parameter-estimation-1906.02826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-caesar-cipher-to-unsupervised-learning-a-new-method-for-classifier-parameter-estimation-1906.02826"/></url>
<url><loc>https://scifaro.com/en/abs/globally-aware-multiple-instance-classifier-for-breast-cancer-screening-1906.02846</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/globally-aware-multiple-instance-classifier-for-breast-cancer-screening-1906.02846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/globally-aware-multiple-instance-classifier-for-breast-cancer-screening-1906.02846"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-neural-architecture-search-via-compressive-sensing-1906.02869</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-neural-architecture-search-via-compressive-sensing-1906.02869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-neural-architecture-search-via-compressive-sensing-1906.02869"/></url>
<url><loc>https://scifaro.com/en/abs/worst-case-regret-bounds-for-exploration-via-randomized-value-functions-1906.02870</loc><lastmod>2024-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/worst-case-regret-bounds-for-exploration-via-randomized-value-functions-1906.02870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/worst-case-regret-bounds-for-exploration-via-randomized-value-functions-1906.02870"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-strategy-game-model-against-data-poisoning-attacks-1906.02872</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-strategy-game-model-against-data-poisoning-attacks-1906.02872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-strategy-game-model-against-data-poisoning-attacks-1906.02872"/></url>
<url><loc>https://scifaro.com/en/abs/compressing-rnns-for-iot-devices-by-15-38x-using-kronecker-products-1906.02876</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressing-rnns-for-iot-devices-by-15-38x-using-kronecker-products-1906.02876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressing-rnns-for-iot-devices-by-15-38x-using-kronecker-products-1906.02876"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-explanations-for-understanding-image-classification-decisions-and-improved-neural-network-robustness-1906.02896</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-explanations-for-understanding-image-classification-decisions-and-improved-neural-network-robustness-1906.02896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-explanations-for-understanding-image-classification-decisions-and-improved-neural-network-robustness-1906.02896"/></url>
<url><loc>https://scifaro.com/en/abs/relaxed-parameter-sharing-effectively-modeling-time-varying-relationships-in-clinical-time-series-1906.02898</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relaxed-parameter-sharing-effectively-modeling-time-varying-relationships-in-clinical-time-series-1906.02898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relaxed-parameter-sharing-effectively-modeling-time-varying-relationships-in-clinical-time-series-1906.02898"/></url>
<url><loc>https://scifaro.com/en/abs/autogrow-automatic-layer-growing-in-deep-convolutional-networks-1906.02909</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autogrow-automatic-layer-growing-in-deep-convolutional-networks-1906.02909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autogrow-automatic-layer-growing-in-deep-convolutional-networks-1906.02909"/></url>
<url><loc>https://scifaro.com/en/abs/rectifying-classifier-chains-for-multi-label-classification-1906.02915</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rectifying-classifier-chains-for-multi-label-classification-1906.02915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rectifying-classifier-chains-for-multi-label-classification-1906.02915"/></url>
<url><loc>https://scifaro.com/en/abs/non-stationary-reinforcement-learning-the-blessing-of-more-optimism-1906.02922</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-stationary-reinforcement-learning-the-blessing-of-more-optimism-1906.02922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-stationary-reinforcement-learning-the-blessing-of-more-optimism-1906.02922"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-bias-of-gradient-descent-based-adversarial-training-on-separable-data-1906.02931</loc><lastmod>2019-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-bias-of-gradient-descent-based-adversarial-training-on-separable-data-1906.02931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-bias-of-gradient-descent-based-adversarial-training-on-separable-data-1906.02931"/></url>
<url><loc>https://scifaro.com/en/abs/selfie-self-supervised-pretraining-for-image-embedding-1906.02940</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selfie-self-supervised-pretraining-for-image-embedding-1906.02940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selfie-self-supervised-pretraining-for-image-embedding-1906.02940"/></url>
<url><loc>https://scifaro.com/en/abs/early-detection-of-sepsis-utilizing-deep-learning-on-electronic-health-record-event-sequences-1906.02956</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-detection-of-sepsis-utilizing-deep-learning-on-electronic-health-record-event-sequences-1906.02956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-detection-of-sepsis-utilizing-deep-learning-on-electronic-health-record-event-sequences-1906.02956"/></url>
<url><loc>https://scifaro.com/en/abs/variational-resampling-based-assessment-of-deep-neural-networks-under-distribution-shift-1906.02972</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-resampling-based-assessment-of-deep-neural-networks-under-distribution-shift-1906.02972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-resampling-based-assessment-of-deep-neural-networks-under-distribution-shift-1906.02972"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-of-graph-data-a-survey-1906.02989</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-of-graph-data-a-survey-1906.02989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-of-graph-data-a-survey-1906.02989"/></url>
<url><loc>https://scifaro.com/en/abs/a-generative-framework-for-zero-shot-learning-with-adversarial-domain-adaptation-1906.03038</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generative-framework-for-zero-shot-learning-with-adversarial-domain-adaptation-1906.03038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generative-framework-for-zero-shot-learning-with-adversarial-domain-adaptation-1906.03038"/></url>
<url><loc>https://scifaro.com/en/abs/classical-policy-gradient-preserving-bellman-s-principle-of-optimality-1906.03063</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classical-policy-gradient-preserving-bellman-s-principle-of-optimality-1906.03063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classical-policy-gradient-preserving-bellman-s-principle-of-optimality-1906.03063"/></url>
<url><loc>https://scifaro.com/en/abs/multi-modal-active-learning-from-human-data-a-deep-reinforcement-learning-approach-1906.03098</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-modal-active-learning-from-human-data-a-deep-reinforcement-learning-approach-1906.03098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-modal-active-learning-from-human-data-a-deep-reinforcement-learning-approach-1906.03098"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-estimation-of-individual-treatment-effect-with-causal-information-bottleneck-1906.03118</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-estimation-of-individual-treatment-effect-with-causal-information-bottleneck-1906.03118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-estimation-of-individual-treatment-effect-with-causal-information-bottleneck-1906.03118"/></url>
<url><loc>https://scifaro.com/en/abs/towards-sharp-analysis-for-distributed-learning-with-random-features-1906.03155</loc><lastmod>2023-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-sharp-analysis-for-distributed-learning-with-random-features-1906.03155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-sharp-analysis-for-distributed-learning-with-random-features-1906.03155"/></url>
<url><loc>https://scifaro.com/en/abs/fighting-quantization-bias-with-bias-1906.03193</loc><lastmod>2019-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fighting-quantization-bias-with-bias-1906.03193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fighting-quantization-bias-with-bias-1906.03193"/></url>
<url><loc>https://scifaro.com/en/abs/importance-weighted-adversarial-variational-autoencoders-for-spike-inference-from-calcium-imaging-data-1906.03214</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-weighted-adversarial-variational-autoencoders-for-spike-inference-from-calcium-imaging-data-1906.03214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-weighted-adversarial-variational-autoencoders-for-spike-inference-from-calcium-imaging-data-1906.03214"/></url>
<url><loc>https://scifaro.com/en/abs/labeled-graph-generative-adversarial-networks-1906.03220</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/labeled-graph-generative-adversarial-networks-1906.03220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/labeled-graph-generative-adversarial-networks-1906.03220"/></url>
<url><loc>https://scifaro.com/en/abs/a-cryptographic-approach-to-black-box-adversarial-machine-learning-1906.03231</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-cryptographic-approach-to-black-box-adversarial-machine-learning-1906.03231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-cryptographic-approach-to-black-box-adversarial-machine-learning-1906.03231"/></url>
<url><loc>https://scifaro.com/en/abs/latent-feature-disentanglement-for-3d-meshes-1906.03281</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-feature-disentanglement-for-3d-meshes-1906.03281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-feature-disentanglement-for-3d-meshes-1906.03281"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-generalization-through-visualizations-1906.03291</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-generalization-through-visualizations-1906.03291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-generalization-through-visualizations-1906.03291"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-degree-corrected-stochastic-block-model-with-outliers-1906.03305</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-degree-corrected-stochastic-block-model-with-outliers-1906.03305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-degree-corrected-stochastic-block-model-with-outliers-1906.03305"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-for-non-parametric-classification-a-generic-attack-and-defense-1906.03310</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-for-non-parametric-classification-a-generic-attack-and-defense-1906.03310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-for-non-parametric-classification-a-generic-attack-and-defense-1906.03310"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-likelihood-for-contextual-bandits-1906.03323</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-likelihood-for-contextual-bandits-1906.03323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-likelihood-for-contextual-bandits-1906.03323"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-project-gradient-descent-for-ensemble-adversarial-attack-1906.03333</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-project-gradient-descent-for-ensemble-adversarial-attack-1906.03333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-project-gradient-descent-for-ensemble-adversarial-attack-1906.03333"/></url>
<url><loc>https://scifaro.com/en/abs/real-or-fake-learning-to-discriminate-machine-from-human-generated-text-1906.03351</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-or-fake-learning-to-discriminate-machine-from-human-generated-text-1906.03351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-or-fake-learning-to-discriminate-machine-from-human-generated-text-1906.03351"/></url>
<url><loc>https://scifaro.com/en/abs/watch-try-learn-meta-learning-from-demonstrations-and-reward-1906.03352</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/watch-try-learn-meta-learning-from-demonstrations-and-reward-1906.03352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/watch-try-learn-meta-learning-from-demonstrations-and-reward-1906.03352"/></url>
<url><loc>https://scifaro.com/en/abs/robust-bi-tempered-logistic-loss-based-on-bregman-divergences-1906.03361</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-bi-tempered-logistic-loss-based-on-bregman-divergences-1906.03361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-bi-tempered-logistic-loss-based-on-bregman-divergences-1906.03361"/></url>
<url><loc>https://scifaro.com/en/abs/partially-linear-additive-gaussian-graphical-models-1906.03362</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partially-linear-additive-gaussian-graphical-models-1906.03362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partially-linear-additive-gaussian-graphical-models-1906.03362"/></url>
<url><loc>https://scifaro.com/en/abs/online-forecasting-of-total-variation-bounded-sequences-1906.03364</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-forecasting-of-total-variation-bounded-sequences-1906.03364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-forecasting-of-total-variation-bounded-sequences-1906.03364"/></url>
<url><loc>https://scifaro.com/en/abs/using-learned-optimizers-to-make-models-robust-to-input-noise-1906.03367</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-learned-optimizers-to-make-models-robust-to-input-noise-1906.03367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-learned-optimizers-to-make-models-robust-to-input-noise-1906.03367"/></url>
<url><loc>https://scifaro.com/en/abs/towards-optimal-off-policy-evaluation-for-reinforcement-learning-with-marginalized-importance-sampling-1906.03393</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-optimal-off-policy-evaluation-for-reinforcement-learning-with-marginalized-importance-sampling-1906.03393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-optimal-off-policy-evaluation-for-reinforcement-learning-with-marginalized-importance-sampling-1906.03393"/></url>
<url><loc>https://scifaro.com/en/abs/making-targeted-black-box-evasion-attacks-effective-and-efficient-1906.03397</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-targeted-black-box-evasion-attacks-effective-and-efficient-1906.03397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-targeted-black-box-evasion-attacks-effective-and-efficient-1906.03397"/></url>
<url><loc>https://scifaro.com/en/abs/a-two-step-graph-convolutional-decoder-for-molecule-generation-1906.03412</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-two-step-graph-convolutional-decoder-for-molecule-generation-1906.03412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-two-step-graph-convolutional-decoder-for-molecule-generation-1906.03412"/></url>
<url><loc>https://scifaro.com/en/abs/sensitivity-of-deep-convolutional-networks-to-gabor-noise-1906.03455</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensitivity-of-deep-convolutional-networks-to-gabor-noise-1906.03455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensitivity-of-deep-convolutional-networks-to-gabor-noise-1906.03455"/></url>
<url><loc>https://scifaro.com/en/abs/a-gradual-semi-discrete-approach-to-generative-network-training-via-explicit-wasserstein-minimization-1906.03471</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gradual-semi-discrete-approach-to-generative-network-training-via-explicit-wasserstein-minimization-1906.03471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gradual-semi-discrete-approach-to-generative-network-training-via-explicit-wasserstein-minimization-1906.03471"/></url>
<url><loc>https://scifaro.com/en/abs/5-parallel-prism-a-topology-for-pipelined-implementations-of-convolutional-neural-networks-using-computational-memory-1906.03474</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/5-parallel-prism-a-topology-for-pipelined-implementations-of-convolutional-neural-networks-using-computational-memory-1906.03474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/5-parallel-prism-a-topology-for-pipelined-implementations-of-convolutional-neural-networks-using-computational-memory-1906.03474"/></url>
<url><loc>https://scifaro.com/en/abs/learning-radiative-transfer-models-for-climate-change-applications-in-imaging-spectroscopy-1906.03479</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-radiative-transfer-models-for-climate-change-applications-in-imaging-spectroscopy-1906.03479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-radiative-transfer-models-for-climate-change-applications-in-imaging-spectroscopy-1906.03479"/></url>
<url><loc>https://scifaro.com/en/abs/ml-loo-detecting-adversarial-examples-with-feature-attribution-1906.03499</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ml-loo-detecting-adversarial-examples-with-feature-attribution-1906.03499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ml-loo-detecting-adversarial-examples-with-feature-attribution-1906.03499"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-bipartite-attractor-networks-1906.03504</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-bipartite-attractor-networks-1906.03504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-bipartite-attractor-networks-1906.03504"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-exposure-with-confidence-control-for-out-of-distribution-detection-1906.03509</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-exposure-with-confidence-control-for-out-of-distribution-detection-1906.03509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-exposure-with-confidence-control-for-out-of-distribution-detection-1906.03509"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-weighted-loss-discrepancy-1906.03518</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-weighted-loss-discrepancy-1906.03518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-weighted-loss-discrepancy-1906.03518"/></url>
<url><loc>https://scifaro.com/en/abs/provably-robust-boosted-decision-stumps-and-trees-against-adversarial-attacks-1906.03526</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-robust-boosted-decision-stumps-and-trees-against-adversarial-attacks-1906.03526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-robust-boosted-decision-stumps-and-trees-against-adversarial-attacks-1906.03526"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-the-variance-in-online-optimization-by-transporting-past-gradients-1906.03532</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-the-variance-in-online-optimization-by-transporting-past-gradients-1906.03532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-the-variance-in-online-optimization-by-transporting-past-gradients-1906.03532"/></url>
<url><loc>https://scifaro.com/en/abs/apricot-submodular-selection-for-data-summarization-in-python-1906.03543</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/apricot-submodular-selection-for-data-summarization-in-python-1906.03543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/apricot-submodular-selection-for-data-summarization-in-python-1906.03543"/></url>
<url><loc>https://scifaro.com/en/abs/four-things-everyone-should-know-to-improve-batch-normalization-1906.03548</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/four-things-everyone-should-know-to-improve-batch-normalization-1906.03548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/four-things-everyone-should-know-to-improve-batch-normalization-1906.03548"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attack-generation-empowered-by-min-max-optimization-1906.03563</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attack-generation-empowered-by-min-max-optimization-1906.03563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attack-generation-empowered-by-min-max-optimization-1906.03563"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-by-modeling-a-distribution-over-policies-1906.03574</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-by-modeling-a-distribution-over-policies-1906.03574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-by-modeling-a-distribution-over-policies-1906.03574"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-network-embedding-via-incremental-skip-gram-with-negative-sampling-1906.03586</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-network-embedding-via-incremental-skip-gram-with-negative-sampling-1906.03586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-network-embedding-via-incremental-skip-gram-with-negative-sampling-1906.03586"/></url>
<url><loc>https://scifaro.com/en/abs/quadratic-suffices-for-over-parametrization-via-matrix-chernoff-bound-1906.03593</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quadratic-suffices-for-over-parametrization-via-matrix-chernoff-bound-1906.03593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quadratic-suffices-for-over-parametrization-via-matrix-chernoff-bound-1906.03593"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-vulnerability-of-capsule-networks-to-adversarial-attacks-1906.03612</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-vulnerability-of-capsule-networks-to-adversarial-attacks-1906.03612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-vulnerability-of-capsule-networks-to-adversarial-attacks-1906.03612"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-overfitting-peaks-in-generalization-error-analytical-risk-curves-for-l-2-and-l-1-penalized-interpolation-1906.03667</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-overfitting-peaks-in-generalization-error-analytical-risk-curves-for-l-2-and-l-1-penalized-interpolation-1906.03667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-overfitting-peaks-in-generalization-error-analytical-risk-curves-for-l-2-and-l-1-penalized-interpolation-1906.03667"/></url>
<url><loc>https://scifaro.com/en/abs/deep-batch-active-learning-by-diverse-uncertain-gradient-lower-bounds-1906.03671</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-batch-active-learning-by-diverse-uncertain-gradient-lower-bounds-1906.03671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-batch-active-learning-by-diverse-uncertain-gradient-lower-bounds-1906.03671"/></url>
<url><loc>https://scifaro.com/en/abs/attention-based-conditioning-methods-for-external-knowledge-integration-1906.03674</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-based-conditioning-methods-for-external-knowledge-integration-1906.03674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-based-conditioning-methods-for-external-knowledge-integration-1906.03674"/></url>
<url><loc>https://scifaro.com/en/abs/novelty-detection-via-network-saliency-in-visual-based-deep-learning-1906.03685</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novelty-detection-via-network-saliency-in-visual-based-deep-learning-1906.03685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novelty-detection-via-network-saliency-in-visual-based-deep-learning-1906.03685"/></url>
<url><loc>https://scifaro.com/en/abs/balanced-off-policy-evaluation-in-general-action-spaces-1906.03694</loc><lastmod>2020-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balanced-off-policy-evaluation-in-general-action-spaces-1906.03694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balanced-off-policy-evaluation-in-general-action-spaces-1906.03694"/></url>
<url><loc>https://scifaro.com/en/abs/solving-general-elliptical-mixture-models-through-an-approximate-wasserstein-manifold-1906.03700</loc><lastmod>2020-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-general-elliptical-mixture-models-through-an-approximate-wasserstein-manifold-1906.03700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-general-elliptical-mixture-models-through-an-approximate-wasserstein-manifold-1906.03700"/></url>
<url><loc>https://scifaro.com/en/abs/svrg-for-policy-evaluation-with-fewer-gradient-evaluations-1906.03704</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/svrg-for-policy-evaluation-with-fewer-gradient-evaluations-1906.03704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/svrg-for-policy-evaluation-with-fewer-gradient-evaluations-1906.03704"/></url>
<url><loc>https://scifaro.com/en/abs/redundancy-free-computation-graphs-for-graph-neural-networks-1906.03707</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/redundancy-free-computation-graphs-for-graph-neural-networks-1906.03707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/redundancy-free-computation-graphs-for-graph-neural-networks-1906.03707"/></url>
<url><loc>https://scifaro.com/en/abs/note-on-the-bias-and-variance-of-variational-inference-1906.03708</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/note-on-the-bias-and-variance-of-variational-inference-1906.03708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/note-on-the-bias-and-variance-of-variational-inference-1906.03708"/></url>
<url><loc>https://scifaro.com/en/abs/curiosity-driven-multi-criteria-hindsight-experience-replay-1906.03710</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curiosity-driven-multi-criteria-hindsight-experience-replay-1906.03710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curiosity-driven-multi-criteria-hindsight-experience-replay-1906.03710"/></url>
<url><loc>https://scifaro.com/en/abs/aggregation-of-pairwise-comparisons-with-reduction-of-biases-1906.03711</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregation-of-pairwise-comparisons-with-reduction-of-biases-1906.03711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregation-of-pairwise-comparisons-with-reduction-of-biases-1906.03711"/></url>
<url><loc>https://scifaro.com/en/abs/neural-heterogeneous-scheduler-1906.03724</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-heterogeneous-scheduler-1906.03724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-heterogeneous-scheduler-1906.03724"/></url>
<url><loc>https://scifaro.com/en/abs/the-generalization-stability-tradeoff-in-neural-network-pruning-1906.03728</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-generalization-stability-tradeoff-in-neural-network-pruning-1906.03728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-generalization-stability-tradeoff-in-neural-network-pruning-1906.03728"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsically-efficient-stable-and-bounded-off-policy-evaluation-for-reinforcement-learning-1906.03735</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsically-efficient-stable-and-bounded-off-policy-evaluation-for-reinforcement-learning-1906.03735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsically-efficient-stable-and-bounded-off-policy-evaluation-for-reinforcement-learning-1906.03735"/></url>
<url><loc>https://scifaro.com/en/abs/factorization-bandits-for-online-influence-maximization-1906.03737</loc><lastmod>2019-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factorization-bandits-for-online-influence-maximization-1906.03737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factorization-bandits-for-online-influence-maximization-1906.03737"/></url>
<url><loc>https://scifaro.com/en/abs/degrees-of-freedom-analysis-of-unrolled-neural-networks-1906.03742</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/degrees-of-freedom-analysis-of-unrolled-neural-networks-1906.03742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/degrees-of-freedom-analysis-of-unrolled-neural-networks-1906.03742"/></url>
<url><loc>https://scifaro.com/en/abs/generative-continual-concept-learning-1906.03744</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-continual-concept-learning-1906.03744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-continual-concept-learning-1906.03744"/></url>
<url><loc>https://scifaro.com/en/abs/improved-adversarial-robustness-via-logit-regularization-methods-1906.03749</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-adversarial-robustness-via-logit-regularization-methods-1906.03749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-adversarial-robustness-via-logit-regularization-methods-1906.03749"/></url>
<url><loc>https://scifaro.com/en/abs/attacking-graph-convolutional-networks-via-rewiring-1906.03750</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attacking-graph-convolutional-networks-via-rewiring-1906.03750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attacking-graph-convolutional-networks-via-rewiring-1906.03750"/></url>
<url><loc>https://scifaro.com/en/abs/robusttrend-a-huber-loss-with-a-combined-first-and-second-order-difference-regularization-for-time-series-trend-filtering-1906.03751</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robusttrend-a-huber-loss-with-a-combined-first-and-second-order-difference-regularization-for-time-series-trend-filtering-1906.03751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robusttrend-a-huber-loss-with-a-combined-first-and-second-order-difference-regularization-for-time-series-trend-filtering-1906.03751"/></url>
<url><loc>https://scifaro.com/en/abs/datalearner-a-data-mining-and-knowledge-discovery-tool-for-android-smartphones-and-tablets-1906.03773</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/datalearner-a-data-mining-and-knowledge-discovery-tool-for-android-smartphones-and-tablets-1906.03773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/datalearner-a-data-mining-and-knowledge-discovery-tool-for-android-smartphones-and-tablets-1906.03773"/></url>
<url><loc>https://scifaro.com/en/abs/deep-spatio-temporal-neural-networks-for-click-through-rate-prediction-1906.03776</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-spatio-temporal-neural-networks-for-click-through-rate-prediction-1906.03776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-spatio-temporal-neural-networks-for-click-through-rate-prediction-1906.03776"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-reinforcement-learning-with-a-generative-model-is-minimax-optimal-1906.03804</loc><lastmod>2020-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-with-a-generative-model-is-minimax-optimal-1906.03804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-with-a-generative-model-is-minimax-optimal-1906.03804"/></url>
<url><loc>https://scifaro.com/en/abs/improving-neural-language-modeling-via-adversarial-training-1906.03805</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-neural-language-modeling-via-adversarial-training-1906.03805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-neural-language-modeling-via-adversarial-training-1906.03805"/></url>
<url><loc>https://scifaro.com/en/abs/a-closed-form-learned-pooling-for-deep-classification-networks-1906.03808</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-closed-form-learned-pooling-for-deep-classification-networks-1906.03808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-closed-form-learned-pooling-for-deep-classification-networks-1906.03808"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-anomaly-detection-service-at-microsoft-1906.03821</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-anomaly-detection-service-at-microsoft-1906.03821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-anomaly-detection-service-at-microsoft-1906.03821"/></url>
<url><loc>https://scifaro.com/en/abs/making-classical-machine-learning-pipelines-differentiable-a-neural-translation-approach-1906.03822</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-classical-machine-learning-pipelines-differentiable-a-neural-translation-approach-1906.03822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-classical-machine-learning-pipelines-differentiable-a-neural-translation-approach-1906.03822"/></url>
<url><loc>https://scifaro.com/en/abs/network-implosion-effective-model-compression-for-resnets-via-static-layer-pruning-and-retraining-1906.03826</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-implosion-effective-model-compression-for-resnets-via-static-layer-pruning-and-retraining-1906.03826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-implosion-effective-model-compression-for-resnets-via-static-layer-pruning-and-retraining-1906.03826"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-mirror-descent-on-overparameterized-nonlinear-models-convergence-implicit-regularization-and-generalization-1906.03830</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-mirror-descent-on-overparameterized-nonlinear-models-convergence-implicit-regularization-and-generalization-1906.03830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-mirror-descent-on-overparameterized-nonlinear-models-convergence-implicit-regularization-and-generalization-1906.03830"/></url>
<url><loc>https://scifaro.com/en/abs/sar-learning-cross-language-api-mappings-with-little-knowledge-1906.03835</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sar-learning-cross-language-api-mappings-with-little-knowledge-1906.03835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sar-learning-cross-language-api-mappings-with-little-knowledge-1906.03835"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-the-role-of-model-uncertainty-for-electronic-health-records-1906.03842</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-the-role-of-model-uncertainty-for-electronic-health-records-1906.03842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-the-role-of-model-uncertainty-for-electronic-health-records-1906.03842"/></url>
<url><loc>https://scifaro.com/en/abs/learning-fair-naive-bayes-classifiers-by-discovering-and-eliminating-discrimination-patterns-1906.03843</loc><lastmod>2020-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-fair-naive-bayes-classifiers-by-discovering-and-eliminating-discrimination-patterns-1906.03843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-fair-naive-bayes-classifiers-by-discovering-and-eliminating-discrimination-patterns-1906.03843"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-verification-of-tree-based-models-1906.03849</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-verification-of-tree-based-models-1906.03849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-verification-of-tree-based-models-1906.03849"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-learning-with-per-sample-rich-supervision-1906.03859</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-learning-with-per-sample-rich-supervision-1906.03859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-learning-with-per-sample-rich-supervision-1906.03859"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objects-generation-with-amortized-structural-regularization-1906.03923</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objects-generation-with-amortized-structural-regularization-1906.03923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objects-generation-with-amortized-structural-regularization-1906.03923"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-reinforcement-learning-informed-by-natural-language-1906.03926</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-reinforcement-learning-informed-by-natural-language-1906.03926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-reinforcement-learning-informed-by-natural-language-1906.03926"/></url>
<url><loc>https://scifaro.com/en/abs/time-to-die-death-prediction-in-dota-2-using-deep-learning-1906.03939</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-to-die-death-prediction-in-dota-2-using-deep-learning-1906.03939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-to-die-death-prediction-in-dota-2-using-deep-learning-1906.03939"/></url>
<url><loc>https://scifaro.com/en/abs/domain-specific-batch-normalization-for-unsupervised-domain-adaptation-1906.03950</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-specific-batch-normalization-for-unsupervised-domain-adaptation-1906.03950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-specific-batch-normalization-for-unsupervised-domain-adaptation-1906.03950"/></url>
<url><loc>https://scifaro.com/en/abs/scan-a-scalable-neural-networks-framework-towards-compact-and-efficient-models-1906.03951</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scan-a-scalable-neural-networks-framework-towards-compact-and-efficient-models-1906.03951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scan-a-scalable-neural-networks-framework-towards-compact-and-efficient-models-1906.03951"/></url>
<url><loc>https://scifaro.com/en/abs/topological-data-analysis-of-time-series-data-for-b2b-customer-relationship-management-1906.03956</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-data-analysis-of-time-series-data-for-b2b-customer-relationship-management-1906.03956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-data-analysis-of-time-series-data-for-b2b-customer-relationship-management-1906.03956"/></url>
<url><loc>https://scifaro.com/en/abs/autonomous-goal-exploration-using-learned-goal-spaces-for-visuomotor-skill-acquisition-in-robots-1906.03967</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autonomous-goal-exploration-using-learned-goal-spaces-for-visuomotor-skill-acquisition-in-robots-1906.03967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autonomous-goal-exploration-using-learned-goal-spaces-for-visuomotor-skill-acquisition-in-robots-1906.03967"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-the-robustness-of-nearest-neighbor-classifiers-a-primal-dual-perspective-1906.03972</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-the-robustness-of-nearest-neighbor-classifiers-a-primal-dual-perspective-1906.03972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-the-robustness-of-nearest-neighbor-classifiers-a-primal-dual-perspective-1906.03972"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-exploitation-of-clustering-and-history-information-in-multi-armed-bandit-1906.03979</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-exploitation-of-clustering-and-history-information-in-multi-armed-bandit-1906.03979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-exploitation-of-clustering-and-history-information-in-multi-armed-bandit-1906.03979"/></url>
<url><loc>https://scifaro.com/en/abs/unit-impulse-response-as-an-explainer-of-redundancy-in-a-deep-convolutional-neural-network-1906.03986</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unit-impulse-response-as-an-explainer-of-redundancy-in-a-deep-convolutional-neural-network-1906.03986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unit-impulse-response-as-an-explainer-of-redundancy-in-a-deep-convolutional-neural-network-1906.03986"/></url>
<url><loc>https://scifaro.com/en/abs/errors-in-variables-modeling-of-personalized-treatment-response-trajectories-1906.03989</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/errors-in-variables-modeling-of-personalized-treatment-response-trajectories-1906.03989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/errors-in-variables-modeling-of-personalized-treatment-response-trajectories-1906.03989"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-soft-actor-critic-emphasizing-recent-experience-without-forgetting-the-past-1906.04009</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-soft-actor-critic-emphasizing-recent-experience-without-forgetting-the-past-1906.04009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-soft-actor-critic-emphasizing-recent-experience-without-forgetting-the-past-1906.04009"/></url>
<url><loc>https://scifaro.com/en/abs/visual-backpropagation-1906.04011</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-backpropagation-1906.04011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-backpropagation-1906.04011"/></url>
<url><loc>https://scifaro.com/en/abs/crcen-a-generalized-cost-sensitive-neural-network-approach-for-imbalanced-classification-1906.04026</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crcen-a-generalized-cost-sensitive-neural-network-approach-for-imbalanced-classification-1906.04026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crcen-a-generalized-cost-sensitive-neural-network-approach-for-imbalanced-classification-1906.04026"/></url>
<url><loc>https://scifaro.com/en/abs/joint-semantic-domain-alignment-and-target-classifier-learning-for-unsupervised-domain-adaptation-1906.04053</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-semantic-domain-alignment-and-target-classifier-learning-for-unsupervised-domain-adaptation-1906.04053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-semantic-domain-alignment-and-target-classifier-learning-for-unsupervised-domain-adaptation-1906.04053"/></url>
<url><loc>https://scifaro.com/en/abs/stretching-the-effectiveness-of-mle-from-accuracy-to-bias-for-pairwise-comparisons-1906.04066</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stretching-the-effectiveness-of-mle-from-accuracy-to-bias-for-pairwise-comparisons-1906.04066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stretching-the-effectiveness-of-mle-from-accuracy-to-bias-for-pairwise-comparisons-1906.04066"/></url>
<url><loc>https://scifaro.com/en/abs/quantification-and-analysis-of-layer-wise-and-pixel-wise-information-discarding-1906.04109</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantification-and-analysis-of-layer-wise-and-pixel-wise-information-discarding-1906.04109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantification-and-analysis-of-layer-wise-and-pixel-wise-information-discarding-1906.04109"/></url>
<url><loc>https://scifaro.com/en/abs/blockswap-fisher-guided-block-substitution-for-network-compression-on-a-budget-1906.04113</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blockswap-fisher-guided-block-substitution-for-network-compression-on-a-budget-1906.04113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blockswap-fisher-guided-block-substitution-for-network-compression-on-a-budget-1906.04113"/></url>
<url><loc>https://scifaro.com/en/abs/robust-multi-modal-sensor-fusion-an-adversarial-approach-1906.04115</loc><lastmod>2020-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-multi-modal-sensor-fusion-an-adversarial-approach-1906.04115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-multi-modal-sensor-fusion-an-adversarial-approach-1906.04115"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-experimental-design-using-regularized-determinantal-point-processes-1906.04133</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-experimental-design-using-regularized-determinantal-point-processes-1906.04133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-experimental-design-using-regularized-determinantal-point-processes-1906.04133"/></url>
<url><loc>https://scifaro.com/en/abs/global-optimization-of-dielectric-metasurfaces-using-a-physics-driven-neural-network-1906.04157</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-optimization-of-dielectric-metasurfaces-using-a-physics-driven-neural-network-1906.04157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-optimization-of-dielectric-metasurfaces-using-a-physics-driven-neural-network-1906.04157"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-exploration-via-disagreement-1906.04161</loc><lastmod>2019-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-exploration-via-disagreement-1906.04161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-exploration-via-disagreement-1906.04161"/></url>
<url><loc>https://scifaro.com/en/abs/topology-attack-and-defense-for-graph-neural-networks-an-optimization-perspective-1906.04214</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topology-attack-and-defense-for-graph-neural-networks-an-optimization-perspective-1906.04214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topology-attack-and-defense-for-graph-neural-networks-an-optimization-perspective-1906.04214"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-folklore-a-scaling-calculus-for-the-design-and-initialization-of-relu-networks-1906.04267</loc><lastmod>2022-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-folklore-a-scaling-calculus-for-the-design-and-initialization-of-relu-networks-1906.04267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-folklore-a-scaling-calculus-for-the-design-and-initialization-of-relu-networks-1906.04267"/></url>
<url><loc>https://scifaro.com/en/abs/building-high-quality-auction-fraud-dataset-1906.04272</loc><lastmod>2019-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-high-quality-auction-fraud-dataset-1906.04272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-high-quality-auction-fraud-dataset-1906.04272"/></url>
<url><loc>https://scifaro.com/en/abs/performance-analysis-and-characterization-of-training-deep-learning-models-on-mobile-devices-1906.04278</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-analysis-and-characterization-of-training-deep-learning-models-on-mobile-devices-1906.04278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-analysis-and-characterization-of-training-deep-learning-models-on-mobile-devices-1906.04278"/></url>
<url><loc>https://scifaro.com/en/abs/exploration-via-hindsight-goal-generation-1906.04279</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploration-via-hindsight-goal-generation-1906.04279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploration-via-hindsight-goal-generation-1906.04279"/></url>
<url><loc>https://scifaro.com/en/abs/towards-amortized-ranking-critical-training-for-collaborative-filtering-1906.04281</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-amortized-ranking-critical-training-for-collaborative-filtering-1906.04281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-amortized-ranking-critical-training-for-collaborative-filtering-1906.04281"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-neural-network-with-kronecker-flow-1906.04282</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-neural-network-with-kronecker-flow-1906.04282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-neural-network-with-kronecker-flow-1906.04282"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-time-analysis-of-momentum-methods-1906.04285</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-time-analysis-of-momentum-methods-1906.04285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-time-analysis-of-momentum-methods-1906.04285"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-ultrasound-tongue-contour-extraction-with-different-domains-1906.04301</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-ultrasound-tongue-contour-extraction-with-different-domains-1906.04301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-ultrasound-tongue-contour-extraction-with-different-domains-1906.04301"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-neural-bloom-filters-1906.04304</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-neural-bloom-filters-1906.04304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-neural-bloom-filters-1906.04304"/></url>
<url><loc>https://scifaro.com/en/abs/associative-convolutional-layers-1906.04309</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/associative-convolutional-layers-1906.04309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/associative-convolutional-layers-1906.04309"/></url>
<url><loc>https://scifaro.com/en/abs/adaptively-preconditioned-stochastic-gradient-langevin-dynamics-1906.04324</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptively-preconditioned-stochastic-gradient-langevin-dynamics-1906.04324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptively-preconditioned-stochastic-gradient-langevin-dynamics-1906.04324"/></url>
<url><loc>https://scifaro.com/en/abs/importance-resampling-for-off-policy-prediction-1906.04328</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-resampling-for-off-policy-prediction-1906.04328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-resampling-for-off-policy-prediction-1906.04328"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-score-behaviors-for-guided-policy-optimization-1906.04349</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-score-behaviors-for-guided-policy-optimization-1906.04349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-score-behaviors-for-guided-policy-optimization-1906.04349"/></url>
<url><loc>https://scifaro.com/en/abs/learning-powerful-policies-by-using-consistent-dynamics-model-1906.04355</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-powerful-policies-by-using-consistent-dynamics-model-1906.04355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-powerful-policies-by-using-consistent-dynamics-model-1906.04355"/></url>
<url><loc>https://scifaro.com/en/abs/ultra-fast-medoid-identification-via-correlated-sequential-halving-1906.04356</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ultra-fast-medoid-identification-via-correlated-sequential-halving-1906.04356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ultra-fast-medoid-identification-via-correlated-sequential-halving-1906.04356"/></url>
<url><loc>https://scifaro.com/en/abs/weight-agnostic-neural-networks-1906.04358</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weight-agnostic-neural-networks-1906.04358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weight-agnostic-neural-networks-1906.04358"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-assisted-click-through-rate-prediction-1906.04365</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-assisted-click-through-rate-prediction-1906.04365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-assisted-click-through-rate-prediction-1906.04365"/></url>
<url><loc>https://scifaro.com/en/abs/coupled-variational-recurrent-collaborative-filtering-1906.04386</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupled-variational-recurrent-collaborative-filtering-1906.04386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupled-variational-recurrent-collaborative-filtering-1906.04386"/></url>
<url><loc>https://scifaro.com/en/abs/evolutionary-trigger-set-generation-for-dnn-black-box-watermarking-1906.04411</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolutionary-trigger-set-generation-for-dnn-black-box-watermarking-1906.04411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolutionary-trigger-set-generation-for-dnn-black-box-watermarking-1906.04411"/></url>
<url><loc>https://scifaro.com/en/abs/metrics-for-learning-in-topological-persistence-1906.04436</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metrics-for-learning-in-topological-persistence-1906.04436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metrics-for-learning-in-topological-persistence-1906.04436"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-intrinsic-uncertainty-in-classification-via-deep-dirichlet-mixture-networks-1906.04450</loc><lastmod>2019-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-intrinsic-uncertainty-in-classification-via-deep-dirichlet-mixture-networks-1906.04450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-intrinsic-uncertainty-in-classification-via-deep-dirichlet-mixture-networks-1906.04450"/></url>
<url><loc>https://scifaro.com/en/abs/continual-reinforcement-learning-deployed-in-real-life-using-policy-distillation-and-sim2real-transfer-1906.04452</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-reinforcement-learning-deployed-in-real-life-using-policy-distillation-and-sim2real-transfer-1906.04452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-reinforcement-learning-deployed-in-real-life-using-policy-distillation-and-sim2real-transfer-1906.04452"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-with-reinforcement-learning-1906.04477</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-with-reinforcement-learning-1906.04477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-with-reinforcement-learning-1906.04477"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-pipelined-computation-and-communication-for-latency-constrained-edge-learning-1906.04488</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-pipelined-computation-and-communication-for-latency-constrained-edge-learning-1906.04488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-pipelined-computation-and-communication-for-latency-constrained-edge-learning-1906.04488"/></url>
<url><loc>https://scifaro.com/en/abs/basisconv-a-method-for-compressed-representation-and-learning-in-cnns-1906.04509</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/basisconv-a-method-for-compressed-representation-and-learning-in-cnns-1906.04509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/basisconv-a-method-for-compressed-representation-and-learning-in-cnns-1906.04509"/></url>
<url><loc>https://scifaro.com/en/abs/wikidatasets-standardized-sub-graphs-from-wikidata-1906.04536</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wikidatasets-standardized-sub-graphs-from-wikidata-1906.04536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wikidatasets-standardized-sub-graphs-from-wikidata-1906.04536"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-the-implicit-bias-via-a-primal-dual-analysis-1906.04540</loc><lastmod>2020-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-the-implicit-bias-via-a-primal-dual-analysis-1906.04540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-the-implicit-bias-via-a-primal-dual-analysis-1906.04540"/></url>
<url><loc>https://scifaro.com/en/abs/fast-rates-for-a-knn-classifier-robust-to-unknown-asymmetric-label-noise-1906.04542</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-rates-for-a-knn-classifier-robust-to-unknown-asymmetric-label-noise-1906.04542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-rates-for-a-knn-classifier-robust-to-unknown-asymmetric-label-noise-1906.04542"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-the-sign-of-the-advantage-function-to-learn-deterministic-policies-in-continuous-domains-1906.04556</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-the-sign-of-the-advantage-function-to-learn-deterministic-policies-in-continuous-domains-1906.04556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-the-sign-of-the-advantage-function-to-learn-deterministic-policies-in-continuous-domains-1906.04556"/></url>
<url><loc>https://scifaro.com/en/abs/k-nearest-neighbor-optimization-via-randomized-hyperstructure-convex-hull-1906.04559</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-nearest-neighbor-optimization-via-randomized-hyperstructure-convex-hull-1906.04559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-nearest-neighbor-optimization-via-randomized-hyperstructure-convex-hull-1906.04559"/></url>
<url><loc>https://scifaro.com/en/abs/dropconnect-is-effective-in-modeling-uncertainty-of-bayesian-deep-networks-1906.04569</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropconnect-is-effective-in-modeling-uncertainty-of-bayesian-deep-networks-1906.04569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropconnect-is-effective-in-modeling-uncertainty-of-bayesian-deep-networks-1906.04569"/></url>
<url><loc>https://scifaro.com/en/abs/provably-robust-deep-learning-via-adversarially-trained-smoothed-classifiers-1906.04584</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-robust-deep-learning-via-adversarially-trained-smoothed-classifiers-1906.04584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-robust-deep-learning-via-adversarially-trained-smoothed-classifiers-1906.04584"/></url>
<url><loc>https://scifaro.com/en/abs/gossip-based-actor-learner-architectures-for-deep-reinforcement-learning-1906.04585</loc><lastmod>2020-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gossip-based-actor-learner-architectures-for-deep-reinforcement-learning-1906.04585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gossip-based-actor-learner-architectures-for-deep-reinforcement-learning-1906.04585"/></url>
<url><loc>https://scifaro.com/en/abs/proposition-d-une-nouvelle-approche-d-extraction-des-motifs-ferm-es-fr-equents-1906.04586</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proposition-d-une-nouvelle-approche-d-extraction-des-motifs-ferm-es-fr-equents-1906.04586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proposition-d-une-nouvelle-approche-d-extraction-des-motifs-ferm-es-fr-equents-1906.04586"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-with-discrete-normalized-advantage-functions-for-resource-management-in-network-slicing-1906.04594</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-discrete-normalized-advantage-functions-for-resource-management-in-network-slicing-1906.04594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-discrete-normalized-advantage-functions-for-resource-management-in-network-slicing-1906.04594"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-aleatoric-and-epistemic-uncertainties-of-time-series-deep-learning-models-for-soil-moisture-predictions-1906.04595</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-aleatoric-and-epistemic-uncertainties-of-time-series-deep-learning-models-for-soil-moisture-predictions-1906.04595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-aleatoric-and-epistemic-uncertainties-of-time-series-deep-learning-models-for-soil-moisture-predictions-1906.04595"/></url>
<url><loc>https://scifaro.com/en/abs/anodev2-a-coupled-neural-ode-evolution-framework-1906.04596</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anodev2-a-coupled-neural-ode-evolution-framework-1906.04596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anodev2-a-coupled-neural-ode-evolution-framework-1906.04596"/></url>
<url><loc>https://scifaro.com/en/abs/a-unifying-framework-for-information-processing-in-stochastically-driven-dynamical-systems-1906.04608</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unifying-framework-for-information-processing-in-stochastically-driven-dynamical-systems-1906.04608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unifying-framework-for-information-processing-in-stochastically-driven-dynamical-systems-1906.04608"/></url>
<url><loc>https://scifaro.com/en/abs/faster-algorithms-for-high-dimensional-robust-covariance-estimation-1906.04661</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-algorithms-for-high-dimensional-robust-covariance-estimation-1906.04661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-algorithms-for-high-dimensional-robust-covariance-estimation-1906.04661"/></url>
<url><loc>https://scifaro.com/en/abs/extracting-interpretable-concept-based-decision-trees-from-cnns-1906.04664</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extracting-interpretable-concept-based-decision-trees-from-cnns-1906.04664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extracting-interpretable-concept-based-decision-trees-from-cnns-1906.04664"/></url>
<url><loc>https://scifaro.com/en/abs/input-selection-for-bandwidth-limited-neural-network-inference-1906.04673</loc><lastmod>2022-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/input-selection-for-bandwidth-limited-neural-network-inference-1906.04673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/input-selection-for-bandwidth-limited-neural-network-inference-1906.04673"/></url>
<url><loc>https://scifaro.com/en/abs/taxonomy-of-saliency-metrics-for-channel-pruning-1906.04675</loc><lastmod>2022-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taxonomy-of-saliency-metrics-for-channel-pruning-1906.04675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taxonomy-of-saliency-metrics-for-channel-pruning-1906.04675"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-kernel-based-subsequence-search-for-user-identification-from-walking-activity-1906.04680</loc><lastmod>2019-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-kernel-based-subsequence-search-for-user-identification-from-walking-activity-1906.04680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-kernel-based-subsequence-search-for-user-identification-from-walking-activity-1906.04680"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-analysis-of-training-over-parameterized-deep-neural-networks-1906.04688</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-analysis-of-training-over-parameterized-deep-neural-networks-1906.04688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-analysis-of-training-over-parameterized-deep-neural-networks-1906.04688"/></url>
<url><loc>https://scifaro.com/en/abs/on-single-source-robustness-in-deep-fusion-models-1906.04691</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-single-source-robustness-in-deep-fusion-models-1906.04691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-single-source-robustness-in-deep-fusion-models-1906.04691"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduced-q-learning-is-minimax-optimal-1906.04697</loc><lastmod>2019-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduced-q-learning-is-minimax-optimal-1906.04697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduced-q-learning-is-minimax-optimal-1906.04697"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-accurate-least-mean-squares-solvers-1906.04705</loc><lastmod>2020-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-accurate-least-mean-squares-solvers-1906.04705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-accurate-least-mean-squares-solvers-1906.04705"/></url>
<url><loc>https://scifaro.com/en/abs/communication-and-memory-efficient-testing-of-discrete-distributions-1906.04709</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-and-memory-efficient-testing-of-discrete-distributions-1906.04709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-and-memory-efficient-testing-of-discrete-distributions-1906.04709"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-graphical-structure-of-electronic-health-records-with-graph-convolutional-transformer-1906.04716</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-graphical-structure-of-electronic-health-records-with-graph-convolutional-transformer-1906.04716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-graphical-structure-of-electronic-health-records-with-graph-convolutional-transformer-1906.04716"/></url>
<url><loc>https://scifaro.com/en/abs/data-free-quantization-through-weight-equalization-and-bias-correction-1906.04721</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-free-quantization-through-weight-equalization-and-bias-correction-1906.04721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-free-quantization-through-weight-equalization-and-bias-correction-1906.04721"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-structure-of-neural-network-loss-landscapes-1906.04724</loc><lastmod>2019-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-structure-of-neural-network-loss-landscapes-1906.04724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-structure-of-neural-network-loss-landscapes-1906.04724"/></url>
<url><loc>https://scifaro.com/en/abs/dualdice-behavior-agnostic-estimation-of-discounted-stationary-distribution-corrections-1906.04733</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dualdice-behavior-agnostic-estimation-of-discounted-stationary-distribution-corrections-1906.04733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dualdice-behavior-agnostic-estimation-of-discounted-stationary-distribution-corrections-1906.04733"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-classifier-learning-based-on-pedcc-loss-and-cosine-distance-1906.04734</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-classifier-learning-based-on-pedcc-loss-and-cosine-distance-1906.04734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-classifier-learning-based-on-pedcc-loss-and-cosine-distance-1906.04734"/></url>
<url><loc>https://scifaro.com/en/abs/improving-reproducible-deep-learning-workflows-with-deepdiva-1906.04736</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-reproducible-deep-learning-workflows-with-deepdiva-1906.04736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-reproducible-deep-learning-workflows-with-deepdiva-1906.04736"/></url>
<url><loc>https://scifaro.com/en/abs/dealing-with-non-stationarity-in-multi-agent-deep-reinforcement-learning-1906.04737</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dealing-with-non-stationarity-in-multi-agent-deep-reinforcement-learning-1906.04737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dealing-with-non-stationarity-in-multi-agent-deep-reinforcement-learning-1906.04737"/></url>
<url><loc>https://scifaro.com/en/abs/deep-2fbsdes-for-systems-with-control-multiplicative-noise-1906.04762</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-2fbsdes-for-systems-with-control-multiplicative-noise-1906.04762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-2fbsdes-for-systems-with-control-multiplicative-noise-1906.04762"/></url>
<url><loc>https://scifaro.com/en/abs/issues-with-post-hoc-counterfactual-explanations-a-discussion-1906.04774</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/issues-with-post-hoc-counterfactual-explanations-a-discussion-1906.04774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/issues-with-post-hoc-counterfactual-explanations-a-discussion-1906.04774"/></url>
<url><loc>https://scifaro.com/en/abs/stability-of-graph-scattering-transforms-1906.04784</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-of-graph-scattering-transforms-1906.04784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-of-graph-scattering-transforms-1906.04784"/></url>
<url><loc>https://scifaro.com/en/abs/power-gradient-descent-1906.04787</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-gradient-descent-1906.04787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-gradient-descent-1906.04787"/></url>
<url><loc>https://scifaro.com/en/abs/table-based-neural-units-fully-quantizing-networks-for-multiply-free-inference-1906.04798</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/table-based-neural-units-fully-quantizing-networks-for-multiply-free-inference-1906.04798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/table-based-neural-units-fully-quantizing-networks-for-multiply-free-inference-1906.04798"/></url>
<url><loc>https://scifaro.com/en/abs/towards-inverse-reinforcement-learning-for-limit-order-book-dynamics-1906.04813</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-inverse-reinforcement-learning-for-limit-order-book-dynamics-1906.04813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-inverse-reinforcement-learning-for-limit-order-book-dynamics-1906.04813"/></url>
<url><loc>https://scifaro.com/en/abs/position-aware-graph-neural-networks-1906.04817</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/position-aware-graph-neural-networks-1906.04817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/position-aware-graph-neural-networks-1906.04817"/></url>
<url><loc>https://scifaro.com/en/abs/discrepancy-coresets-and-sketches-in-machine-learning-1906.04845</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrepancy-coresets-and-sketches-in-machine-learning-1906.04845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrepancy-coresets-and-sketches-in-machine-learning-1906.04845"/></url>
<url><loc>https://scifaro.com/en/abs/a-closer-look-at-the-optimization-landscapes-of-generative-adversarial-networks-1906.04848</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-closer-look-at-the-optimization-landscapes-of-generative-adversarial-networks-1906.04848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-closer-look-at-the-optimization-landscapes-of-generative-adversarial-networks-1906.04848"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-integer-programming-learning-to-cut-1906.04859</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-integer-programming-learning-to-cut-1906.04859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-integer-programming-learning-to-cut-1906.04859"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-guarantees-for-local-graph-clustering-1906.04863</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-guarantees-for-local-graph-clustering-1906.04863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-guarantees-for-local-graph-clustering-1906.04863"/></url>
<url><loc>https://scifaro.com/en/abs/on-regularization-for-a-convolutional-kernel-in-neural-networks-1906.04866</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-regularization-for-a-convolutional-kernel-in-neural-networks-1906.04866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-regularization-for-a-convolutional-kernel-in-neural-networks-1906.04866"/></url>
<url><loc>https://scifaro.com/en/abs/semi-flat-minima-and-saddle-points-by-embedding-neural-networks-to-overparameterization-1906.04868</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-flat-minima-and-saddle-points-by-embedding-neural-networks-to-overparameterization-1906.04868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-flat-minima-and-saddle-points-by-embedding-neural-networks-to-overparameterization-1906.04868"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-instance-learning-with-graph-neural-networks-1906.04881</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-instance-learning-with-graph-neural-networks-1906.04881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-instance-learning-with-graph-neural-networks-1906.04881"/></url>
<url><loc>https://scifaro.com/en/abs/run-time-efficient-rnn-compression-for-inference-on-edge-devices-1906.04886</loc><lastmod>2020-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/run-time-efficient-rnn-compression-for-inference-on-edge-devices-1906.04886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/run-time-efficient-rnn-compression-for-inference-on-edge-devices-1906.04886"/></url>
<url><loc>https://scifaro.com/en/abs/using-small-proxy-datasets-to-accelerate-hyperparameter-search-1906.04887</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-small-proxy-datasets-to-accelerate-hyperparameter-search-1906.04887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-small-proxy-datasets-to-accelerate-hyperparameter-search-1906.04887"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-and-accurate-estimation-of-lipschitz-constants-for-deep-neural-networks-1906.04893</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-and-accurate-estimation-of-lipschitz-constants-for-deep-neural-networks-1906.04893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-and-accurate-estimation-of-lipschitz-constants-for-deep-neural-networks-1906.04893"/></url>
<url><loc>https://scifaro.com/en/abs/coresets-for-gaussian-mixture-models-of-any-shape-1906.04895</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coresets-for-gaussian-mixture-models-of-any-shape-1906.04895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coresets-for-gaussian-mixture-models-of-any-shape-1906.04895"/></url>
<url><loc>https://scifaro.com/en/abs/spoc-search-based-pseudocode-to-code-1906.04908</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spoc-search-based-pseudocode-to-code-1906.04908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spoc-search-based-pseudocode-to-code-1906.04908"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-spatio-temporal-data-mining-a-survey-1906.04928</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-spatio-temporal-data-mining-a-survey-1906.04928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-spatio-temporal-data-mining-a-survey-1906.04928"/></url>
<url><loc>https://scifaro.com/en/abs/non-parametric-calibration-for-classification-1906.04933</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-parametric-calibration-for-classification-1906.04933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-parametric-calibration-for-classification-1906.04933"/></url>
<url><loc>https://scifaro.com/en/abs/partial-or-complete-that-s-the-question-1906.04937</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-or-complete-that-s-the-question-1906.04937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-or-complete-that-s-the-question-1906.04937"/></url>
<url><loc>https://scifaro.com/en/abs/tight-certificates-of-adversarial-robustness-for-randomly-smoothed-classifiers-1906.04948</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-certificates-of-adversarial-robustness-for-randomly-smoothed-classifiers-1906.04948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-certificates-of-adversarial-robustness-for-randomly-smoothed-classifiers-1906.04948"/></url>
<url><loc>https://scifaro.com/en/abs/neural-variational-inference-for-estimating-uncertainty-in-knowledge-graph-embeddings-1906.04985</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-variational-inference-for-estimating-uncertainty-in-knowledge-graph-embeddings-1906.04985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-variational-inference-for-estimating-uncertainty-in-knowledge-graph-embeddings-1906.04985"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-unmanned-aerial-vehicle-assisted-vehicular-networks-1906.05015</loc><lastmod>2023-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-unmanned-aerial-vehicle-assisted-vehicular-networks-1906.05015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-unmanned-aerial-vehicle-assisted-vehicular-networks-1906.05015"/></url>
<url><loc>https://scifaro.com/en/abs/graph-embedding-on-biomedical-networks-methods-applications-and-evaluations-1906.05017</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-embedding-on-biomedical-networks-methods-applications-and-evaluations-1906.05017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-embedding-on-biomedical-networks-methods-applications-and-evaluations-1906.05017"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-approach-to-in-game-win-probability-in-soccer-1906.05029</loc><lastmod>2021-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-approach-to-in-game-win-probability-in-soccer-1906.05029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-approach-to-in-game-win-probability-in-soccer-1906.05029"/></url>
<url><loc>https://scifaro.com/en/abs/fast-task-inference-with-variational-intrinsic-successor-features-1906.05030</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-task-inference-with-variational-intrinsic-successor-features-1906.05030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-task-inference-with-variational-intrinsic-successor-features-1906.05030"/></url>
<url><loc>https://scifaro.com/en/abs/decoupling-gating-from-linearity-1906.05032</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupling-gating-from-linearity-1906.05032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupling-gating-from-linearity-1906.05032"/></url>
<url><loc>https://scifaro.com/en/abs/higher-order-ranking-and-link-prediction-from-closing-triangles-to-closing-higher-order-motifs-1906.05059</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higher-order-ranking-and-link-prediction-from-closing-triangles-to-closing-higher-order-motifs-1906.05059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higher-order-ranking-and-link-prediction-from-closing-triangles-to-closing-higher-order-motifs-1906.05059"/></url>
<url><loc>https://scifaro.com/en/abs/regret-minimization-for-reinforcement-learning-by-evaluating-the-optimal-bias-function-1906.05110</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-minimization-for-reinforcement-learning-by-evaluating-the-optimal-bias-function-1906.05110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-minimization-for-reinforcement-learning-by-evaluating-the-optimal-bias-function-1906.05110"/></url>
<url><loc>https://scifaro.com/en/abs/multi-local-collaborative-autoencoder-1906.05173</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-local-collaborative-autoencoder-1906.05173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-local-collaborative-autoencoder-1906.05173"/></url>
<url><loc>https://scifaro.com/en/abs/parameterized-structured-pruning-for-deep-neural-networks-1906.05180</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameterized-structured-pruning-for-deep-neural-networks-1906.05180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameterized-structured-pruning-for-deep-neural-networks-1906.05180"/></url>
<url><loc>https://scifaro.com/en/abs/macro-action-multi-time-scale-dynamic-programming-for-energy-management-in-buildings-with-phase-change-materials-1906.05200</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/macro-action-multi-time-scale-dynamic-programming-for-energy-management-in-buildings-with-phase-change-materials-1906.05200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/macro-action-multi-time-scale-dynamic-programming-for-energy-management-in-buildings-with-phase-change-materials-1906.05200"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-graph-with-learned-prototypes-for-semi-supervised-image-classification-1906.05202</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-graph-with-learned-prototypes-for-semi-supervised-image-classification-1906.05202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-graph-with-learned-prototypes-for-semi-supervised-image-classification-1906.05202"/></url>
<url><loc>https://scifaro.com/en/abs/warping-resilient-scalable-anomaly-detection-in-time-series-1906.05205</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/warping-resilient-scalable-anomaly-detection-in-time-series-1906.05205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/warping-resilient-scalable-anomaly-detection-in-time-series-1906.05205"/></url>
<url><loc>https://scifaro.com/en/abs/is-deep-learning-a-renormalization-group-flow-1906.05212</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-deep-learning-a-renormalization-group-flow-1906.05212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-deep-learning-a-renormalization-group-flow-1906.05212"/></url>
<url><loc>https://scifaro.com/en/abs/a-model-to-search-for-synthesizable-molecules-1906.05221</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-model-to-search-for-synthesizable-molecules-1906.05221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-model-to-search-for-synthesizable-molecules-1906.05221"/></url>
<url><loc>https://scifaro.com/en/abs/when-to-use-parametric-models-in-reinforcement-learning-1906.05243</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-to-use-parametric-models-in-reinforcement-learning-1906.05243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-to-use-parametric-models-in-reinforcement-learning-1906.05243"/></url>
<url><loc>https://scifaro.com/en/abs/multitask-learning-for-network-traffic-classification-1906.05248</loc><lastmod>2021-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multitask-learning-for-network-traffic-classification-1906.05248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multitask-learning-for-network-traffic-classification-1906.05248"/></url>
<url><loc>https://scifaro.com/en/abs/gluonts-probabilistic-time-series-models-in-python-1906.05264</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gluonts-probabilistic-time-series-models-in-python-1906.05264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gluonts-probabilistic-time-series-models-in-python-1906.05264"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-intelligence-enabled-material-behavior-prediction-1906.05270</loc><lastmod>2019-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-intelligence-enabled-material-behavior-prediction-1906.05270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-intelligence-enabled-material-behavior-prediction-1906.05270"/></url>
<url><loc>https://scifaro.com/en/abs/does-learning-require-memorization-a-short-tale-about-a-long-tail-1906.05271</loc><lastmod>2021-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-learning-require-memorization-a-short-tale-about-a-long-tail-1906.05271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-learning-require-memorization-a-short-tale-about-a-long-tail-1906.05271"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-exploration-via-state-marginal-matching-1906.05274</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-exploration-via-state-marginal-matching-1906.05274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-exploration-via-state-marginal-matching-1906.05274"/></url>
<url><loc>https://scifaro.com/en/abs/learning-curves-for-deep-neural-networks-a-gaussian-field-theory-perspective-1906.05301</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-curves-for-deep-neural-networks-a-gaussian-field-theory-perspective-1906.05301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-curves-for-deep-neural-networks-a-gaussian-field-theory-perspective-1906.05301"/></url>
<url><loc>https://scifaro.com/en/abs/sub-goal-trees-a-framework-for-goal-directed-trajectory-prediction-and-optimization-1906.05329</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sub-goal-trees-a-framework-for-goal-directed-trajectory-prediction-and-optimization-1906.05329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sub-goal-trees-a-framework-for-goal-directed-trajectory-prediction-and-optimization-1906.05329"/></url>
<url><loc>https://scifaro.com/en/abs/pairwise-fairness-for-ranking-and-regression-1906.05330</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pairwise-fairness-for-ranking-and-regression-1906.05330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pairwise-fairness-for-ranking-and-regression-1906.05330"/></url>
<url><loc>https://scifaro.com/en/abs/competing-bandits-in-matching-markets-1906.05363</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/competing-bandits-in-matching-markets-1906.05363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/competing-bandits-in-matching-markets-1906.05363"/></url>
<url><loc>https://scifaro.com/en/abs/neural-graph-evolution-towards-efficient-automatic-robot-design-1906.05370</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-graph-evolution-towards-efficient-automatic-robot-design-1906.05370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-graph-evolution-towards-efficient-automatic-robot-design-1906.05370"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-via-learned-loss-1906.05374</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-via-learned-loss-1906.05374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-via-learned-loss-1906.05374"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-guarantees-for-neural-networks-via-harnessing-the-low-rank-structure-of-the-jacobian-1906.05392</loc><lastmod>2019-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-guarantees-for-neural-networks-via-harnessing-the-low-rank-structure-of-the-jacobian-1906.05392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-guarantees-for-neural-networks-via-harnessing-the-low-rank-structure-of-the-jacobian-1906.05392"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-modeling-of-diversity-with-strongly-log-concave-distributions-1906.05413</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-modeling-of-diversity-with-strongly-log-concave-distributions-1906.05413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-modeling-of-diversity-with-strongly-log-concave-distributions-1906.05413"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-evaluation-time-uncertainty-estimation-by-improved-distillation-1906.05419</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-evaluation-time-uncertainty-estimation-by-improved-distillation-1906.05419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-evaluation-time-uncertainty-estimation-by-improved-distillation-1906.05419"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-few-shot-learning-via-linear-distillation-1906.05431</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-few-shot-learning-via-linear-distillation-1906.05431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-few-shot-learning-via-linear-distillation-1906.05431"/></url>
<url><loc>https://scifaro.com/en/abs/conditioning-of-reinforcement-learning-agents-and-its-policy-regularization-application-1906.05437</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditioning-of-reinforcement-learning-agents-and-its-policy-regularization-application-1906.05437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditioning-of-reinforcement-learning-agents-and-its-policy-regularization-application-1906.05437"/></url>
<url><loc>https://scifaro.com/en/abs/factors-for-the-generalisation-of-identity-relations-by-neural-networks-1906.05449</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factors-for-the-generalisation-of-identity-relations-by-neural-networks-1906.05449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factors-for-the-generalisation-of-identity-relations-by-neural-networks-1906.05449"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-glimpse-sequences-for-improved-hard-attention-neural-network-training-1906.05462</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-glimpse-sequences-for-improved-hard-attention-neural-network-training-1906.05462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-glimpse-sequences-for-improved-hard-attention-neural-network-training-1906.05462"/></url>
<url><loc>https://scifaro.com/en/abs/imitation-learning-of-neural-spatio-temporal-point-processes-1906.05467</loc><lastmod>2021-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitation-learning-of-neural-spatio-temporal-point-processes-1906.05467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitation-learning-of-neural-spatio-temporal-point-processes-1906.05467"/></url>
<url><loc>https://scifaro.com/en/abs/utilizing-edge-features-in-graph-neural-networks-via-variational-information-maximization-1906.05488</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/utilizing-edge-features-in-graph-neural-networks-via-variational-information-maximization-1906.05488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/utilizing-edge-features-in-graph-neural-networks-via-variational-information-maximization-1906.05488"/></url>
<url><loc>https://scifaro.com/en/abs/cognitive-knowledge-graph-reasoning-for-one-shot-relational-learning-1906.05489</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cognitive-knowledge-graph-reasoning-for-one-shot-relational-learning-1906.05489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cognitive-knowledge-graph-reasoning-for-one-shot-relational-learning-1906.05489"/></url>
<url><loc>https://scifaro.com/en/abs/a-meta-approach-to-defend-noisy-labels-by-the-manifold-regularizer-psdr-1906.05509</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-meta-approach-to-defend-noisy-labels-by-the-manifold-regularizer-psdr-1906.05509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-meta-approach-to-defend-noisy-labels-by-the-manifold-regularizer-psdr-1906.05509"/></url>
<url><loc>https://scifaro.com/en/abs/spaceland-embedding-of-sparse-stochastic-graphs-1906.05582</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spaceland-embedding-of-sparse-stochastic-graphs-1906.05582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spaceland-embedding-of-sparse-stochastic-graphs-1906.05582"/></url>
<url><loc>https://scifaro.com/en/abs/finite-sample-analysis-of-dynamic-regression-parameter-learning-1906.05591</loc><lastmod>2022-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-sample-analysis-of-dynamic-regression-parameter-learning-1906.05591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-sample-analysis-of-dynamic-regression-parameter-learning-1906.05591"/></url>
<url><loc>https://scifaro.com/en/abs/a-computationally-efficient-method-for-defending-adversarial-deep-learning-attacks-1906.05599</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-computationally-efficient-method-for-defending-adversarial-deep-learning-attacks-1906.05599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-computationally-efficient-method-for-defending-adversarial-deep-learning-attacks-1906.05599"/></url>
<url><loc>https://scifaro.com/en/abs/training-neural-networks-for-and-by-interpolation-1906.05661</loc><lastmod>2020-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-neural-networks-for-and-by-interpolation-1906.05661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-neural-networks-for-and-by-interpolation-1906.05661"/></url>
<url><loc>https://scifaro.com/en/abs/a-jit-compiler-for-neural-network-inference-1906.05737</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-jit-compiler-for-neural-network-inference-1906.05737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-jit-compiler-for-neural-network-inference-1906.05737"/></url>
<url><loc>https://scifaro.com/en/abs/learning-video-representations-using-contrastive-bidirectional-transformer-1906.05743</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-video-representations-using-contrastive-bidirectional-transformer-1906.05743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-video-representations-using-contrastive-bidirectional-transformer-1906.05743"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-system-identification-via-tensor-completion-1906.05746</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-system-identification-via-tensor-completion-1906.05746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-system-identification-via-tensor-completion-1906.05746"/></url>
<url><loc>https://scifaro.com/en/abs/improving-prediction-accuracy-in-building-performance-models-using-generative-adversarial-networks-gans-1906.05767</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-prediction-accuracy-in-building-performance-models-using-generative-adversarial-networks-gans-1906.05767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-prediction-accuracy-in-building-performance-models-using-generative-adversarial-networks-gans-1906.05767"/></url>
<url><loc>https://scifaro.com/en/abs/topological-data-analysis-for-arrhythmia-detection-through-modular-neural-networks-1906.05795</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-data-analysis-for-arrhythmia-detection-through-modular-neural-networks-1906.05795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-data-analysis-for-arrhythmia-detection-through-modular-neural-networks-1906.05795"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-and-interpreting-real-world-human-risk-decision-making-with-inverse-reinforcement-learning-1906.05803</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-and-interpreting-real-world-human-risk-decision-making-with-inverse-reinforcement-learning-1906.05803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-and-interpreting-real-world-human-risk-decision-making-with-inverse-reinforcement-learning-1906.05803"/></url>
<url><loc>https://scifaro.com/en/abs/lower-bounds-for-adversarially-robust-pac-learning-1906.05815</loc><lastmod>2019-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lower-bounds-for-adversarially-robust-pac-learning-1906.05815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lower-bounds-for-adversarially-robust-pac-learning-1906.05815"/></url>
<url><loc>https://scifaro.com/en/abs/robust-regression-for-safe-exploration-in-control-1906.05819</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-regression-for-safe-exploration-in-control-1906.05819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-regression-for-safe-exploration-in-control-1906.05819"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-and-rich-regimes-in-overparametrized-models-1906.05827</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-and-rich-regimes-in-overparametrized-models-1906.05827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-and-rich-regimes-in-overparametrized-models-1906.05827"/></url>
<url><loc>https://scifaro.com/en/abs/goal-conditioned-imitation-learning-1906.05838</loc><lastmod>2020-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/goal-conditioned-imitation-learning-1906.05838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/goal-conditioned-imitation-learning-1906.05838"/></url>
<url><loc>https://scifaro.com/en/abs/sub-policy-adaptation-for-hierarchical-reinforcement-learning-1906.05862</loc><lastmod>2020-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sub-policy-adaptation-for-hierarchical-reinforcement-learning-1906.05862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sub-policy-adaptation-for-hierarchical-reinforcement-learning-1906.05862"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-maximizes-the-margin-of-homogeneous-neural-networks-1906.05890</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-maximizes-the-margin-of-homogeneous-neural-networks-1906.05890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-maximizes-the-margin-of-homogeneous-neural-networks-1906.05890"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-forget-for-meta-learning-1906.05895</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-forget-for-meta-learning-1906.05895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-forget-for-meta-learning-1906.05895"/></url>
<url><loc>https://scifaro.com/en/abs/a-variational-autoencoder-for-probabilistic-non-negative-matrix-factorisation-1906.05912</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variational-autoencoder-for-probabilistic-non-negative-matrix-factorisation-1906.05912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variational-autoencoder-for-probabilistic-non-negative-matrix-factorisation-1906.05912"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-processes-1906.05915</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-processes-1906.05915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-processes-1906.05915"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-development-environment-in-virtual-reality-1906.05925</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-development-environment-in-virtual-reality-1906.05925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-development-environment-in-virtual-reality-1906.05925"/></url>
<url><loc>https://scifaro.com/en/abs/solving-large-scale-0-1-knapsack-problems-and-its-application-to-point-cloud-resampling-1906.05929</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-large-scale-0-1-knapsack-problems-and-its-application-to-point-cloud-resampling-1906.05929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-large-scale-0-1-knapsack-problems-and-its-application-to-point-cloud-resampling-1906.05929"/></url>
<url><loc>https://scifaro.com/en/abs/layered-sgd-a-decentralized-and-synchronous-sgd-algorithm-for-scalable-deep-neural-network-training-1906.05936</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layered-sgd-a-decentralized-and-synchronous-sgd-algorithm-for-scalable-deep-neural-network-training-1906.05936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layered-sgd-a-decentralized-and-synchronous-sgd-algorithm-for-scalable-deep-neural-network-training-1906.05936"/></url>
<url><loc>https://scifaro.com/en/abs/a-tight-and-unified-analysis-of-gradient-based-methods-for-a-whole-spectrum-of-games-1906.05945</loc><lastmod>2020-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tight-and-unified-analysis-of-gradient-based-methods-for-a-whole-spectrum-of-games-1906.05945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tight-and-unified-analysis-of-gradient-based-methods-for-a-whole-spectrum-of-games-1906.05945"/></url>
<url><loc>https://scifaro.com/en/abs/multigrid-neural-memory-1906.05948</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multigrid-neural-memory-1906.05948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multigrid-neural-memory-1906.05948"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-neural-architecture-search-for-3d-medical-image-segmentation-1906.05956</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-neural-architecture-search-for-3d-medical-image-segmentation-1906.05956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-neural-architecture-search-for-3d-medical-image-segmentation-1906.05956"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-assessment-why-both-l-0-and-l-infty-attacks-are-necessary-1906.06026</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-assessment-why-both-l-0-and-l-infty-attacks-are-necessary-1906.06026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-assessment-why-both-l-0-and-l-infty-attacks-are-necessary-1906.06026"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-can-hurt-generalization-1906.06032</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-can-hurt-generalization-1906.06032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-can-hurt-generalization-1906.06032"/></url>
<url><loc>https://scifaro.com/en/abs/divide-and-conquer-leveraging-intermediate-feature-representations-for-quantized-training-of-neural-networks-1906.06033</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/divide-and-conquer-leveraging-intermediate-feature-representations-for-quantized-training-of-neural-networks-1906.06033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/divide-and-conquer-leveraging-intermediate-feature-representations-for-quantized-training-of-neural-networks-1906.06033"/></url>
<url><loc>https://scifaro.com/en/abs/infogan-cr-and-modelcentrality-self-supervised-model-training-and-selection-for-disentangling-gans-1906.06034</loc><lastmod>2020-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infogan-cr-and-modelcentrality-self-supervised-model-training-and-selection-for-disentangling-gans-1906.06034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infogan-cr-and-modelcentrality-self-supervised-model-training-and-selection-for-disentangling-gans-1906.06034"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-proximal-auc-maximization-1906.06053</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-proximal-auc-maximization-1906.06053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-proximal-auc-maximization-1906.06053"/></url>
<url><loc>https://scifaro.com/en/abs/direct-policy-gradients-direct-optimization-of-policies-in-discrete-action-spaces-1906.06062</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direct-policy-gradients-direct-optimization-of-policies-in-discrete-action-spaces-1906.06062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direct-policy-gradients-direct-optimization-of-policies-in-discrete-action-spaces-1906.06062"/></url>
<url><loc>https://scifaro.com/en/abs/binary-classification-using-pairs-of-minimum-spanning-trees-or-n-ary-trees-1906.06090</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-classification-using-pairs-of-minimum-spanning-trees-or-n-ary-trees-1906.06090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-classification-using-pairs-of-minimum-spanning-trees-or-n-ary-trees-1906.06090"/></url>
<url><loc>https://scifaro.com/en/abs/a-distribution-dependent-and-independent-complexity-analysis-of-manifold-regularization-1906.06100</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distribution-dependent-and-independent-complexity-analysis-of-manifold-regularization-1906.06100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distribution-dependent-and-independent-complexity-analysis-of-manifold-regularization-1906.06100"/></url>
<url><loc>https://scifaro.com/en/abs/towards-compact-and-robust-deep-neural-networks-1906.06110</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-compact-and-robust-deep-neural-networks-1906.06110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-compact-and-robust-deep-neural-networks-1906.06110"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-with-hmm-gauge-likelihood-analysis-1906.06134</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-with-hmm-gauge-likelihood-analysis-1906.06134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-with-hmm-gauge-likelihood-analysis-1906.06134"/></url>
<url><loc>https://scifaro.com/en/abs/online-active-learning-of-reject-option-classifiers-1906.06166</loc><lastmod>2020-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-active-learning-of-reject-option-classifiers-1906.06166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-active-learning-of-reject-option-classifiers-1906.06166"/></url>
<url><loc>https://scifaro.com/en/abs/curriculum-learning-for-cumulative-return-maximization-1906.06178</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curriculum-learning-for-cumulative-return-maximization-1906.06178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curriculum-learning-for-cumulative-return-maximization-1906.06178"/></url>
<url><loc>https://scifaro.com/en/abs/factorized-higher-order-cnns-with-an-application-to-spatio-temporal-emotion-estimation-1906.06196</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factorized-higher-order-cnns-with-an-application-to-spatio-temporal-emotion-estimation-1906.06196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factorized-higher-order-cnns-with-an-application-to-spatio-temporal-emotion-estimation-1906.06196"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-landscape-connectivity-of-low-cost-solutions-for-multilayer-nets-1906.06247</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-landscape-connectivity-of-low-cost-solutions-for-multilayer-nets-1906.06247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-landscape-connectivity-of-low-cost-solutions-for-multilayer-nets-1906.06247"/></url>
<url><loc>https://scifaro.com/en/abs/variational-federated-multi-task-learning-1906.06268</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-federated-multi-task-learning-1906.06268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-federated-multi-task-learning-1906.06268"/></url>
<url><loc>https://scifaro.com/en/abs/epistemic-risk-sensitive-reinforcement-learning-1906.06273</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/epistemic-risk-sensitive-reinforcement-learning-1906.06273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/epistemic-risk-sensitive-reinforcement-learning-1906.06273"/></url>
<url><loc>https://scifaro.com/en/abs/support-vector-machines-on-the-d-wave-quantum-annealer-1906.06283</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-vector-machines-on-the-d-wave-quantum-annealer-1906.06283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-vector-machines-on-the-d-wave-quantum-annealer-1906.06283"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-study-of-extreme-overfitting-points-of-neural-networks-1906.06295</loc><lastmod>2020-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-study-of-extreme-overfitting-points-of-neural-networks-1906.06295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-study-of-extreme-overfitting-points-of-neural-networks-1906.06295"/></url>
<url><loc>https://scifaro.com/en/abs/augmenting-neural-networks-with-first-order-logic-1906.06298</loc><lastmod>2020-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmenting-neural-networks-with-first-order-logic-1906.06298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmenting-neural-networks-with-first-order-logic-1906.06298"/></url>
<url><loc>https://scifaro.com/en/abs/a-signal-propagation-perspective-for-pruning-neural-networks-at-initialization-1906.06307</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-signal-propagation-perspective-for-pruning-neural-networks-at-initialization-1906.06307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-signal-propagation-perspective-for-pruning-neural-networks-at-initialization-1906.06307"/></url>
<url><loc>https://scifaro.com/en/abs/towards-stable-and-efficient-training-of-verifiably-robust-neural-networks-1906.06316</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-stable-and-efficient-training-of-verifiably-robust-neural-networks-1906.06316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-stable-and-efficient-training-of-verifiably-robust-neural-networks-1906.06316"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-q-learning-with-function-approximation-via-distribution-shift-error-checking-oracle-1906.06321</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-q-learning-with-function-approximation-via-distribution-shift-error-checking-oracle-1906.06321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-q-learning-with-function-approximation-via-distribution-shift-error-checking-oracle-1906.06321"/></url>
<url><loc>https://scifaro.com/en/abs/tensornetwork-for-machine-learning-1906.06329</loc><lastmod>2019-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensornetwork-for-machine-learning-1906.06329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensornetwork-for-machine-learning-1906.06329"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-choice-with-set-dependent-aggregation-1906.06365</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-choice-with-set-dependent-aggregation-1906.06365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-choice-with-set-dependent-aggregation-1906.06365"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-of-constrained-robust-submodular-optimization-with-applications-1906.06393</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-of-constrained-robust-submodular-optimization-with-applications-1906.06393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-of-constrained-robust-submodular-optimization-with-applications-1906.06393"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-and-personalized-apprenticeship-scheduling-learning-interpretable-scheduling-policies-from-heterogeneous-user-demonstrations-1906.06397</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-and-personalized-apprenticeship-scheduling-learning-interpretable-scheduling-policies-from-heterogeneous-user-demonstrations-1906.06397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-and-personalized-apprenticeship-scheduling-learning-interpretable-scheduling-policies-from-heterogeneous-user-demonstrations-1906.06397"/></url>
<url><loc>https://scifaro.com/en/abs/amortized-bethe-free-energy-minimization-for-learning-mrfs-1906.06399</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortized-bethe-free-energy-minimization-for-learning-mrfs-1906.06399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortized-bethe-free-energy-minimization-for-learning-mrfs-1906.06399"/></url>
<url><loc>https://scifaro.com/en/abs/learning-correlated-latent-representations-with-adaptive-priors-1906.06419</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-correlated-latent-representations-with-adaptive-priors-1906.06419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-correlated-latent-representations-with-adaptive-priors-1906.06419"/></url>
<url><loc>https://scifaro.com/en/abs/enhanced-input-modeling-for-construction-simulation-using-bayesian-deep-neural-networks-1906.06421</loc><lastmod>2020-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhanced-input-modeling-for-construction-simulation-using-bayesian-deep-neural-networks-1906.06421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhanced-input-modeling-for-construction-simulation-using-bayesian-deep-neural-networks-1906.06421"/></url>
<url><loc>https://scifaro.com/en/abs/multi-adversarial-variational-autoencoder-networks-1906.06430</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-adversarial-variational-autoencoder-networks-1906.06430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-adversarial-variational-autoencoder-networks-1906.06430"/></url>
<url><loc>https://scifaro.com/en/abs/high-performance-deep-learning-via-a-single-building-block-1906.06440</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-performance-deep-learning-via-a-single-building-block-1906.06440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-performance-deep-learning-via-a-single-building-block-1906.06440"/></url>
<url><loc>https://scifaro.com/en/abs/robust-or-private-adversarial-training-makes-models-more-vulnerable-to-privacy-attacks-1906.06449</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-or-private-adversarial-training-makes-models-more-vulnerable-to-privacy-attacks-1906.06449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-or-private-adversarial-training-makes-models-more-vulnerable-to-privacy-attacks-1906.06449"/></url>
<url><loc>https://scifaro.com/en/abs/global-optimization-via-inverse-distance-weighting-and-radial-basis-functions-1906.06498</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-optimization-via-inverse-distance-weighting-and-radial-basis-functions-1906.06498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-optimization-via-inverse-distance-weighting-and-radial-basis-functions-1906.06498"/></url>
<url><loc>https://scifaro.com/en/abs/attributed-graph-clustering-a-deep-attentional-embedding-approach-1906.06532</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attributed-graph-clustering-a-deep-attentional-embedding-approach-1906.06532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attributed-graph-clustering-a-deep-attentional-embedding-approach-1906.06532"/></url>
<url><loc>https://scifaro.com/en/abs/deep-set-prediction-networks-1906.06565</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-set-prediction-networks-1906.06565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-set-prediction-networks-1906.06565"/></url>
<url><loc>https://scifaro.com/en/abs/lionets-local-interpretation-of-neural-networks-through-penultimate-layer-decoding-1906.06566</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lionets-local-interpretation-of-neural-networks-through-penultimate-layer-decoding-1906.06566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lionets-local-interpretation-of-neural-networks-through-penultimate-layer-decoding-1906.06566"/></url>
<url><loc>https://scifaro.com/en/abs/injecting-prior-knowledge-for-transfer-learning-into-reinforcement-learning-algorithms-using-logic-tensor-networks-1906.06576</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/injecting-prior-knowledge-for-transfer-learning-into-reinforcement-learning-algorithms-using-logic-tensor-networks-1906.06576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/injecting-prior-knowledge-for-transfer-learning-into-reinforcement-learning-algorithms-using-logic-tensor-networks-1906.06576"/></url>
<url><loc>https://scifaro.com/en/abs/membership-privacy-for-machine-learning-models-through-knowledge-transfer-1906.06589</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/membership-privacy-for-machine-learning-models-through-knowledge-transfer-1906.06589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/membership-privacy-for-machine-learning-models-through-knowledge-transfer-1906.06589"/></url>
<url><loc>https://scifaro.com/en/abs/learning-restricted-boltzmann-machines-with-arbitrary-external-fields-1906.06595</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-restricted-boltzmann-machines-with-arbitrary-external-fields-1906.06595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-restricted-boltzmann-machines-with-arbitrary-external-fields-1906.06595"/></url>
<url><loc>https://scifaro.com/en/abs/generating-diverse-and-informative-natural-language-fashion-feedback-1906.06619</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-diverse-and-informative-natural-language-fashion-feedback-1906.06619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-diverse-and-informative-natural-language-fashion-feedback-1906.06619"/></url>
<url><loc>https://scifaro.com/en/abs/joint-visual-textual-embedding-for-multimodal-style-search-1906.06620</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-visual-textual-embedding-for-multimodal-style-search-1906.06620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-visual-textual-embedding-for-multimodal-style-search-1906.06620"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-model-compression-by-entropy-penalized-reparameterization-1906.06624</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-model-compression-by-entropy-penalized-reparameterization-1906.06624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-model-compression-by-entropy-penalized-reparameterization-1906.06624"/></url>
<url><loc>https://scifaro.com/en/abs/robust-federated-learning-in-a-heterogeneous-environment-1906.06629</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-federated-learning-in-a-heterogeneous-environment-1906.06629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-federated-learning-in-a-heterogeneous-environment-1906.06629"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-computation-for-continual-learning-1906.06635</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-computation-for-continual-learning-1906.06635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-computation-for-continual-learning-1906.06635"/></url>
<url><loc>https://scifaro.com/en/abs/a-closer-look-at-double-backpropagation-1906.06637</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-closer-look-at-double-backpropagation-1906.06637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-closer-look-at-double-backpropagation-1906.06637"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-driven-heuristic-optimization-1906.06639</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-driven-heuristic-optimization-1906.06639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-driven-heuristic-optimization-1906.06639"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-minimax-q-learning-algorithm-for-two-player-zero-sum-stochastic-games-1906.06659</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-minimax-q-learning-algorithm-for-two-player-zero-sum-stochastic-games-1906.06659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-minimax-q-learning-algorithm-for-two-player-zero-sum-stochastic-games-1906.06659"/></url>
<url><loc>https://scifaro.com/en/abs/addressing-database-variability-in-learning-from-medical-data-an-ensemble-based-approach-using-convolutional-neural-networks-and-a-case-of-study-applied-to-automatic-sleep-scoring-1906.06666</loc><lastmod>2020-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addressing-database-variability-in-learning-from-medical-data-an-ensemble-based-approach-using-convolutional-neural-networks-and-a-case-of-study-applied-to-automatic-sleep-scoring-1906.06666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addressing-database-variability-in-learning-from-medical-data-an-ensemble-based-approach-using-convolutional-neural-networks-and-a-case-of-study-applied-to-automatic-sleep-scoring-1906.06666"/></url>
<url><loc>https://scifaro.com/en/abs/one-epoch-is-all-you-need-1906.06669</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-epoch-is-all-you-need-1906.06669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-epoch-is-all-you-need-1906.06669"/></url>
<url><loc>https://scifaro.com/en/abs/interpretations-of-deep-learning-by-forests-and-haar-wavelets-1906.06706</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretations-of-deep-learning-by-forests-and-haar-wavelets-1906.06706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretations-of-deep-learning-by-forests-and-haar-wavelets-1906.06706"/></url>
<url><loc>https://scifaro.com/en/abs/mo-et-mixture-of-expert-trees-and-its-application-to-verifiable-reinforcement-learning-1906.06717</loc><lastmod>2022-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mo-et-mixture-of-expert-trees-and-its-application-to-verifiable-reinforcement-learning-1906.06717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mo-et-mixture-of-expert-trees-and-its-application-to-verifiable-reinforcement-learning-1906.06717"/></url>
<url><loc>https://scifaro.com/en/abs/dispersed-exponential-family-mixture-vaes-for-interpretable-text-generation-1906.06719</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dispersed-exponential-family-mixture-vaes-for-interpretable-text-generation-1906.06719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dispersed-exponential-family-mixture-vaes-for-interpretable-text-generation-1906.06719"/></url>
<url><loc>https://scifaro.com/en/abs/finding-the-needle-in-the-haystack-with-convolutions-on-the-benefits-of-architectural-bias-1906.06766</loc><lastmod>2020-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-the-needle-in-the-haystack-with-convolutions-on-the-benefits-of-architectural-bias-1906.06766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-the-needle-in-the-haystack-with-convolutions-on-the-benefits-of-architectural-bias-1906.06766"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-the-exact-behaviors-of-temporal-difference-learning-algorithms-using-markov-jump-linear-system-theory-1906.06781</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-the-exact-behaviors-of-temporal-difference-learning-algorithms-using-markov-jump-linear-system-theory-1906.06781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-the-exact-behaviors-of-temporal-difference-learning-algorithms-using-markov-jump-linear-system-theory-1906.06781"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-the-parameters-underlying-the-lorenz-96-chaotic-dynamics-1906.06786</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-the-parameters-underlying-the-lorenz-96-chaotic-dynamics-1906.06786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-the-parameters-underlying-the-lorenz-96-chaotic-dynamics-1906.06786"/></url>
<url><loc>https://scifaro.com/en/abs/asac-active-sensing-using-actor-critic-models-1906.06796</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asac-active-sensing-using-actor-critic-models-1906.06796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asac-active-sensing-using-actor-critic-models-1906.06796"/></url>
<url><loc>https://scifaro.com/en/abs/neural-theorem-provers-do-not-learn-rules-without-exploration-1906.06805</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-theorem-provers-do-not-learn-rules-without-exploration-1906.06805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-theorem-provers-do-not-learn-rules-without-exploration-1906.06805"/></url>
<url><loc>https://scifaro.com/en/abs/a-gray-box-approach-for-curriculum-learning-1906.06812</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gray-box-approach-for-curriculum-learning-1906.06812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gray-box-approach-for-curriculum-learning-1906.06812"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-optimization-methods-from-a-machine-learning-perspective-1906.06821</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-optimization-methods-from-a-machine-learning-perspective-1906.06821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-optimization-methods-from-a-machine-learning-perspective-1906.06821"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-neural-architecture-search-by-learning-action-space-1906.06832</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-neural-architecture-search-by-learning-action-space-1906.06832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-neural-architecture-search-by-learning-action-space-1906.06832"/></url>
<url><loc>https://scifaro.com/en/abs/lpaintb-learning-to-paint-from-self-supervision-1906.06841</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lpaintb-learning-to-paint-from-self-supervision-1906.06841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lpaintb-learning-to-paint-from-self-supervision-1906.06841"/></url>
<url><loc>https://scifaro.com/en/abs/structured-pruning-of-recurrent-neural-networks-through-neuron-selection-1906.06847</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-pruning-of-recurrent-neural-networks-through-neuron-selection-1906.06847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-pruning-of-recurrent-neural-networks-through-neuron-selection-1906.06847"/></url>
<url><loc>https://scifaro.com/en/abs/learning-interpretable-models-using-uncertainty-oracles-1906.06852</loc><lastmod>2024-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-interpretable-models-using-uncertainty-oracles-1906.06852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-interpretable-models-using-uncertainty-oracles-1906.06852"/></url>
<url><loc>https://scifaro.com/en/abs/exact-and-consistent-interpretation-of-piecewise-linear-models-hidden-behind-apis-a-closed-form-solution-1906.06857</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-and-consistent-interpretation-of-piecewise-linear-models-hidden-behind-apis-a-closed-form-solution-1906.06857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-and-consistent-interpretation-of-piecewise-linear-models-hidden-behind-apis-a-closed-form-solution-1906.06857"/></url>
<url><loc>https://scifaro.com/en/abs/mixup-as-directional-adversarial-training-1906.06875</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixup-as-directional-adversarial-training-1906.06875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixup-as-directional-adversarial-training-1906.06875"/></url>
<url><loc>https://scifaro.com/en/abs/learning-driven-exploration-for-reinforcement-learning-1906.06890</loc><lastmod>2025-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-driven-exploration-for-reinforcement-learning-1906.06890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-driven-exploration-for-reinforcement-learning-1906.06890"/></url>
<url><loc>https://scifaro.com/en/abs/a-provably-correct-and-robust-algorithm-for-convolutive-nonnegative-matrix-factorization-1906.06899</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-provably-correct-and-robust-algorithm-for-convolutive-nonnegative-matrix-factorization-1906.06899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-provably-correct-and-robust-algorithm-for-convolutive-nonnegative-matrix-factorization-1906.06899"/></url>
<url><loc>https://scifaro.com/en/abs/normalizing-flows-for-novelty-detection-in-industrial-time-series-data-1906.06904</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalizing-flows-for-novelty-detection-in-industrial-time-series-data-1906.06904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalizing-flows-for-novelty-detection-in-industrial-time-series-data-1906.06904"/></url>
<url><loc>https://scifaro.com/en/abs/improving-black-box-adversarial-attacks-with-a-transfer-based-prior-1906.06919</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-black-box-adversarial-attacks-with-a-transfer-based-prior-1906.06919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-black-box-adversarial-attacks-with-a-transfer-based-prior-1906.06919"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-risk-of-bezier-simplex-fitting-1906.06924</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-risk-of-bezier-simplex-fitting-1906.06924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-risk-of-bezier-simplex-fitting-1906.06924"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-of-preconditioners-for-conjugate-gradient-solvers-in-urban-water-related-problems-1906.06925</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-of-preconditioners-for-conjugate-gradient-solvers-in-urban-water-related-problems-1906.06925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-of-preconditioners-for-conjugate-gradient-solvers-in-urban-water-related-problems-1906.06925"/></url>
<url><loc>https://scifaro.com/en/abs/scrubbing-sensitive-phi-data-from-medical-records-made-easy-by-spacy-a-scalable-model-implementation-comparisons-1906.06968</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scrubbing-sensitive-phi-data-from-medical-records-made-easy-by-spacy-a-scalable-model-implementation-comparisons-1906.06968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scrubbing-sensitive-phi-data-from-medical-records-made-easy-by-spacy-a-scalable-model-implementation-comparisons-1906.06968"/></url>
<url><loc>https://scifaro.com/en/abs/dataset-shift-quantification-for-credit-card-fraud-detection-1906.06977</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dataset-shift-quantification-for-credit-card-fraud-detection-1906.06977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dataset-shift-quantification-for-credit-card-fraud-detection-1906.06977"/></url>
<url><loc>https://scifaro.com/en/abs/bounded-expectation-of-label-assignment-dataset-annotation-by-supervised-splitting-with-bias-reduction-techniques-1906.07046</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounded-expectation-of-label-assignment-dataset-annotation-by-supervised-splitting-with-bias-reduction-techniques-1906.07046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounded-expectation-of-label-assignment-dataset-annotation-by-supervised-splitting-with-bias-reduction-techniques-1906.07046"/></url>
<url><loc>https://scifaro.com/en/abs/is-the-policy-gradient-a-gradient-1906.07073</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-the-policy-gradient-a-gradient-1906.07073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-the-policy-gradient-a-gradient-1906.07073"/></url>
<url><loc>https://scifaro.com/en/abs/the-attack-generator-a-systematic-approach-towards-constructing-adversarial-attacks-1906.07077</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-attack-generator-a-systematic-approach-towards-constructing-adversarial-attacks-1906.07077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-attack-generator-a-systematic-approach-towards-constructing-adversarial-attacks-1906.07077"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-soft-actor-critic-adversarial-exploration-via-mutual-information-optimization-1906.07122</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-soft-actor-critic-adversarial-exploration-via-mutual-information-optimization-1906.07122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-soft-actor-critic-adversarial-exploration-via-mutual-information-optimization-1906.07122"/></url>
<url><loc>https://scifaro.com/en/abs/active-generative-adversarial-network-for-image-classification-1906.07133</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-generative-adversarial-network-for-image-classification-1906.07133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-generative-adversarial-network-for-image-classification-1906.07133"/></url>
<url><loc>https://scifaro.com/en/abs/checknet-secure-inference-on-untrusted-devices-1906.07148</loc><lastmod>2019-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/checknet-secure-inference-on-untrusted-devices-1906.07148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/checknet-secure-inference-on-untrusted-devices-1906.07148"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-on-copyright-detection-systems-1906.07153</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-on-copyright-detection-systems-1906.07153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-on-copyright-detection-systems-1906.07153"/></url>
<url><loc>https://scifaro.com/en/abs/enforcing-temporal-consistency-in-deep-learning-segmentation-of-brain-mr-images-1906.07160</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enforcing-temporal-consistency-in-deep-learning-segmentation-of-brain-mr-images-1906.07160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enforcing-temporal-consistency-in-deep-learning-segmentation-of-brain-mr-images-1906.07160"/></url>
<url><loc>https://scifaro.com/en/abs/equivariant-neural-networks-and-equivarification-1906.07172</loc><lastmod>2025-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivariant-neural-networks-and-equivarification-1906.07172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivariant-neural-networks-and-equivarification-1906.07172"/></url>
<url><loc>https://scifaro.com/en/abs/learning-execution-through-neural-code-fusion-1906.07181</loc><lastmod>2020-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-execution-through-neural-code-fusion-1906.07181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-execution-through-neural-code-fusion-1906.07181"/></url>
<url><loc>https://scifaro.com/en/abs/an-iot-based-framework-for-activity-recognition-using-deep-learning-technique-1906.07247</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-iot-based-framework-for-activity-recognition-using-deep-learning-technique-1906.07247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-iot-based-framework-for-activity-recognition-using-deep-learning-technique-1906.07247"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-model-based-reinforcement-learning-using-simulations-in-the-differentiable-neural-computer-1906.07248</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-model-based-reinforcement-learning-using-simulations-in-the-differentiable-neural-computer-1906.07248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-model-based-reinforcement-learning-using-simulations-in-the-differentiable-neural-computer-1906.07248"/></url>
<url><loc>https://scifaro.com/en/abs/online-matrix-completion-with-side-information-1906.07255</loc><lastmod>2020-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-matrix-completion-with-side-information-1906.07255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-matrix-completion-with-side-information-1906.07255"/></url>
<url><loc>https://scifaro.com/en/abs/the-cells-out-of-sample-coos-dataset-and-benchmarks-for-measuring-out-of-sample-generalization-of-image-classifiers-1906.07282</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-cells-out-of-sample-coos-dataset-and-benchmarks-for-measuring-out-of-sample-generalization-of-image-classifiers-1906.07282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-cells-out-of-sample-coos-dataset-and-benchmarks-for-measuring-out-of-sample-generalization-of-image-classifiers-1906.07282"/></url>
<url><loc>https://scifaro.com/en/abs/linear-lower-bounds-and-conditioning-of-differentiable-games-1906.07300</loc><lastmod>2020-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-lower-bounds-and-conditioning-of-differentiable-games-1906.07300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-lower-bounds-and-conditioning-of-differentiable-games-1906.07300"/></url>
<url><loc>https://scifaro.com/en/abs/neurally-guided-structure-inference-1906.07304</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neurally-guided-structure-inference-1906.07304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neurally-guided-structure-inference-1906.07304"/></url>
<url><loc>https://scifaro.com/en/abs/evolutionary-reinforcement-learning-for-sample-efficient-multiagent-coordination-1906.07315</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolutionary-reinforcement-learning-for-sample-efficient-multiagent-coordination-1906.07315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolutionary-reinforcement-learning-for-sample-efficient-multiagent-coordination-1906.07315"/></url>
<url><loc>https://scifaro.com/en/abs/deep-active-learning-for-anchor-user-prediction-1906.07318</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-active-learning-for-anchor-user-prediction-1906.07318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-active-learning-for-anchor-user-prediction-1906.07318"/></url>
<url><loc>https://scifaro.com/en/abs/learning-personalized-attribute-preference-via-multi-task-auc-optimization-1906.07341</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-personalized-attribute-preference-via-multi-task-auc-optimization-1906.07341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-personalized-attribute-preference-via-multi-task-auc-optimization-1906.07341"/></url>
<url><loc>https://scifaro.com/en/abs/language-as-an-abstraction-for-hierarchical-deep-reinforcement-learning-1906.07343</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/language-as-an-abstraction-for-hierarchical-deep-reinforcement-learning-1906.07343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/language-as-an-abstraction-for-hierarchical-deep-reinforcement-learning-1906.07343"/></url>
<url><loc>https://scifaro.com/en/abs/ridm-reinforced-inverse-dynamics-modeling-for-learning-from-a-single-observed-demonstration-1906.07372</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ridm-reinforced-inverse-dynamics-modeling-for-learning-from-a-single-observed-demonstration-1906.07372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ridm-reinforced-inverse-dynamics-modeling-for-learning-from-a-single-observed-demonstration-1906.07372"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-adversarial-imitation-learning-from-observation-1906.07374</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-adversarial-imitation-learning-from-observation-1906.07374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-adversarial-imitation-learning-from-observation-1906.07374"/></url>
<url><loc>https://scifaro.com/en/abs/maximizing-overall-diversity-for-improved-uncertainty-estimates-in-deep-ensembles-1906.07380</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximizing-overall-diversity-for-improved-uncertainty-estimates-in-deep-ensembles-1906.07380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximizing-overall-diversity-for-improved-uncertainty-estimates-in-deep-ensembles-1906.07380"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-noisy-gradient-descent-that-generalizes-as-sgd-1906.07405</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-noisy-gradient-descent-that-generalizes-as-sgd-1906.07405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-noisy-gradient-descent-that-generalizes-as-sgd-1906.07405"/></url>
<url><loc>https://scifaro.com/en/abs/titant-online-real-time-transaction-fraud-detection-in-ant-financial-1906.07407</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/titant-online-real-time-transaction-fraud-detection-in-ant-financial-1906.07407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/titant-online-real-time-transaction-fraud-detection-in-ant-financial-1906.07407"/></url>
<url><loc>https://scifaro.com/en/abs/learning-imbalanced-datasets-with-label-distribution-aware-margin-loss-1906.07413</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-imbalanced-datasets-with-label-distribution-aware-margin-loss-1906.07413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-imbalanced-datasets-with-label-distribution-aware-margin-loss-1906.07413"/></url>
<url><loc>https://scifaro.com/en/abs/inverting-deep-generative-models-one-layer-at-a-time-1906.07437</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverting-deep-generative-models-one-layer-at-a-time-1906.07437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverting-deep-generative-models-one-layer-at-a-time-1906.07437"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-malaria-prevalence-prediction-in-large-densely-populated-urban-holoendemic-sub-saharan-west-africa-harnessing-machine-learning-approaches-and-22-years-of-prospectively-collected-data-1906.07502</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-malaria-prevalence-prediction-in-large-densely-populated-urban-holoendemic-sub-saharan-west-africa-harnessing-machine-learning-approaches-and-22-years-of-prospectively-collected-data-1906.07502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-malaria-prevalence-prediction-in-large-densely-populated-urban-holoendemic-sub-saharan-west-africa-harnessing-machine-learning-approaches-and-22-years-of-prospectively-collected-data-1906.07502"/></url>
<url><loc>https://scifaro.com/en/abs/robust-reinforcement-learning-for-continuous-control-with-model-misspecification-1906.07516</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-reinforcement-learning-for-continuous-control-with-model-misspecification-1906.07516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-reinforcement-learning-for-continuous-control-with-model-misspecification-1906.07516"/></url>
<url><loc>https://scifaro.com/en/abs/prune-and-replace-nas-1906.07528</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prune-and-replace-nas-1906.07528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prune-and-replace-nas-1906.07528"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-machine-learning-to-analyse-city-logistics-through-twitter-1906.07529</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-machine-learning-to-analyse-city-logistics-through-twitter-1906.07529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-machine-learning-to-analyse-city-logistics-through-twitter-1906.07529"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-privacy-aware-mobility-behavior-using-the-evolution-of-spatio-temporal-entropy-1906.07537</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-privacy-aware-mobility-behavior-using-the-evolution-of-spatio-temporal-entropy-1906.07537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-privacy-aware-mobility-behavior-using-the-evolution-of-spatio-temporal-entropy-1906.07537"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-probabilistic-models-of-scientific-imaging-with-the-fourier-slice-theorem-1906.07582</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-probabilistic-models-of-scientific-imaging-with-the-fourier-slice-theorem-1906.07582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-probabilistic-models-of-scientific-imaging-with-the-fourier-slice-theorem-1906.07582"/></url>
<url><loc>https://scifaro.com/en/abs/gap-increasing-policy-evaluation-for-efficient-and-noise-tolerant-reinforcement-learning-1906.07586</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gap-increasing-policy-evaluation-for-efficient-and-noise-tolerant-reinforcement-learning-1906.07586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gap-increasing-policy-evaluation-for-efficient-and-noise-tolerant-reinforcement-learning-1906.07586"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-the-learning-progress-in-neural-architecture-search-techniques-1906.07590</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-the-learning-progress-in-neural-architecture-search-techniques-1906.07590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-the-learning-progress-in-neural-architecture-search-techniques-1906.07590"/></url>
<url><loc>https://scifaro.com/en/abs/simple-algorithms-for-dueling-bandits-1906.07611</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-algorithms-for-dueling-bandits-1906.07611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-algorithms-for-dueling-bandits-1906.07611"/></url>
<url><loc>https://scifaro.com/en/abs/from-clustering-to-cluster-explanations-via-neural-networks-1906.07633</loc><lastmod>2022-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-clustering-to-cluster-explanations-via-neural-networks-1906.07633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-clustering-to-cluster-explanations-via-neural-networks-1906.07633"/></url>
<url><loc>https://scifaro.com/en/abs/towards-white-box-benchmarks-for-algorithm-control-1906.07644</loc><lastmod>2019-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-white-box-benchmarks-for-algorithm-control-1906.07644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-white-box-benchmarks-for-algorithm-control-1906.07644"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-a-manifold-from-a-tangent-bundle-learner-1906.07661</loc><lastmod>2019-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-a-manifold-from-a-tangent-bundle-learner-1906.07661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-a-manifold-from-a-tangent-bundle-learner-1906.07661"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-dimension-estimation-for-locally-undersampled-data-1906.07670</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-dimension-estimation-for-locally-undersampled-data-1906.07670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-dimension-estimation-for-locally-undersampled-data-1906.07670"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-power-of-random-neural-networks-1906.07709</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-power-of-random-neural-networks-1906.07709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-power-of-random-neural-networks-1906.07709"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-robustness-of-the-backdoor-based-watermarking-in-deep-neural-networks-1906.07745</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-robustness-of-the-backdoor-based-watermarking-in-deep-neural-networks-1906.07745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-robustness-of-the-backdoor-based-watermarking-in-deep-neural-networks-1906.07745"/></url>
<url><loc>https://scifaro.com/en/abs/poisoning-attacks-with-generative-adversarial-nets-1906.07773</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisoning-attacks-with-generative-adversarial-nets-1906.07773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisoning-attacks-with-generative-adversarial-nets-1906.07773"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-interplay-between-noise-and-curvature-and-its-effect-on-optimization-and-generalization-1906.07774</loc><lastmod>2020-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-interplay-between-noise-and-curvature-and-its-effect-on-optimization-and-generalization-1906.07774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-interplay-between-noise-and-curvature-and-its-effect-on-optimization-and-generalization-1906.07774"/></url>
<url><loc>https://scifaro.com/en/abs/hill-climbing-on-value-estimates-for-search-control-in-dyna-1906.07791</loc><lastmod>2019-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hill-climbing-on-value-estimates-for-search-control-in-dyna-1906.07791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hill-climbing-on-value-estimates-for-search-control-in-dyna-1906.07791"/></url>
<url><loc>https://scifaro.com/en/abs/directed-exploration-for-reinforcement-learning-1906.07805</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directed-exploration-for-reinforcement-learning-1906.07805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directed-exploration-for-reinforcement-learning-1906.07805"/></url>
<url><loc>https://scifaro.com/en/abs/radgrad-active-learning-with-loss-gradients-1906.07838</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/radgrad-active-learning-with-loss-gradients-1906.07838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/radgrad-active-learning-with-loss-gradients-1906.07838"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-dynamics-of-shallow-univariate-relu-networks-1906.07842</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-dynamics-of-shallow-univariate-relu-networks-1906.07842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-dynamics-of-shallow-univariate-relu-networks-1906.07842"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-quantization-of-l-values-for-gray-coded-modulation-1906.07849</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-quantization-of-l-values-for-gray-coded-modulation-1906.07849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-quantization-of-l-values-for-gray-coded-modulation-1906.07849"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-approach-for-local-data-debiasing-1906.07858</loc><lastmod>2022-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-approach-for-local-data-debiasing-1906.07858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-approach-for-local-data-debiasing-1906.07858"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-hierarchical-clustering-with-exponential-linkage-1906.07859</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-hierarchical-clustering-with-exponential-linkage-1906.07859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-hierarchical-clustering-with-exponential-linkage-1906.07859"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-behaviour-via-intrinsic-reward-a-survey-and-empirical-study-1906.07865</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-behaviour-via-intrinsic-reward-a-survey-and-empirical-study-1906.07865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-behaviour-via-intrinsic-reward-a-survey-and-empirical-study-1906.07865"/></url>
<url><loc>https://scifaro.com/en/abs/joint-regularization-on-activations-and-weights-for-efficient-neural-network-pruning-1906.07875</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-regularization-on-activations-and-weights-for-efficient-neural-network-pruning-1906.07875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-regularization-on-activations-and-weights-for-efficient-neural-network-pruning-1906.07875"/></url>
<url><loc>https://scifaro.com/en/abs/trade-offs-and-guarantees-of-adversarial-representation-learning-for-information-obfuscation-1906.07902</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trade-offs-and-guarantees-of-adversarial-representation-learning-for-information-obfuscation-1906.07902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trade-offs-and-guarantees-of-adversarial-representation-learning-for-information-obfuscation-1906.07902"/></url>
<url><loc>https://scifaro.com/en/abs/discovery-of-physics-from-data-universal-laws-and-discrepancies-1906.07906</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovery-of-physics-from-data-universal-laws-and-discrepancies-1906.07906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovery-of-physics-from-data-universal-laws-and-discrepancies-1906.07906"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-adversarial-training-in-overparametrized-neural-networks-1906.07916</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-adversarial-training-in-overparametrized-neural-networks-1906.07916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-adversarial-training-in-overparametrized-neural-networks-1906.07916"/></url>
<url><loc>https://scifaro.com/en/abs/global-adversarial-attacks-for-assessing-deep-learning-robustness-1906.07920</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-adversarial-attacks-for-assessing-deep-learning-robustness-1906.07920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-adversarial-attacks-for-assessing-deep-learning-robustness-1906.07920"/></url>
<url><loc>https://scifaro.com/en/abs/semanticadv-generating-adversarial-examples-via-attribute-conditional-image-editing-1906.07927</loc><lastmod>2020-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semanticadv-generating-adversarial-examples-via-attribute-conditional-image-editing-1906.07927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semanticadv-generating-adversarial-examples-via-attribute-conditional-image-editing-1906.07927"/></url>
<url><loc>https://scifaro.com/en/abs/batch-active-learning-using-determinantal-point-processes-1906.07975</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-active-learning-using-determinantal-point-processes-1906.07975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-active-learning-using-determinantal-point-processes-1906.07975"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-view-on-differential-privacy-and-robustness-to-adversarial-examples-1906.07982</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-view-on-differential-privacy-and-robustness-to-adversarial-examples-1906.07982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-view-on-differential-privacy-and-robustness-to-adversarial-examples-1906.07982"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-temporal-difference-learning-for-policy-evaluation-with-per-state-uncertainty-estimates-1906.07987</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-temporal-difference-learning-for-policy-evaluation-with-per-state-uncertainty-estimates-1906.07987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-temporal-difference-learning-for-policy-evaluation-with-per-state-uncertainty-estimates-1906.07987"/></url>
<url><loc>https://scifaro.com/en/abs/xnas-neural-architecture-search-with-expert-advice-1906.08031</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xnas-neural-architecture-search-with-expert-advice-1906.08031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xnas-neural-architecture-search-with-expert-advice-1906.08031"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-feature-and-lazy-training-in-deep-neural-networks-1906.08034</loc><lastmod>2020-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-feature-and-lazy-training-in-deep-neural-networks-1906.08034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-feature-and-lazy-training-in-deep-neural-networks-1906.08034"/></url>
<url><loc>https://scifaro.com/en/abs/the-barron-space-and-the-flow-induced-function-spaces-for-neural-network-models-1906.08039</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-barron-space-and-the-flow-induced-function-spaces-for-neural-network-models-1906.08039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-barron-space-and-the-flow-induced-function-spaces-for-neural-network-models-1906.08039"/></url>
<url><loc>https://scifaro.com/en/abs/learning-directed-graphical-models-from-gaussian-data-1906.08050</loc><lastmod>2020-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-directed-graphical-models-from-gaussian-data-1906.08050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-directed-graphical-models-from-gaussian-data-1906.08050"/></url>
<url><loc>https://scifaro.com/en/abs/online-heterogeneous-mixture-learning-for-big-data-1906.08068</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-heterogeneous-mixture-learning-for-big-data-1906.08068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-heterogeneous-mixture-learning-for-big-data-1906.08068"/></url>
<url><loc>https://scifaro.com/en/abs/disentangled-inference-for-gans-with-latently-invertible-autoencoder-1906.08090</loc><lastmod>2022-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-inference-for-gans-with-latently-invertible-autoencoder-1906.08090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-inference-for-gans-with-latently-invertible-autoencoder-1906.08090"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-source-code-summarization-with-extended-tree-lstm-1906.08094</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-source-code-summarization-with-extended-tree-lstm-1906.08094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-source-code-summarization-with-extended-tree-lstm-1906.08094"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-nas-knowledge-transfer-between-search-spaces-with-transformer-agents-1906.08102</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-nas-knowledge-transfer-between-search-spaces-with-transformer-agents-1906.08102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-nas-knowledge-transfer-between-search-spaces-with-transformer-agents-1906.08102"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-bilinear-factorization-multi-view-subspace-clustering-1906.08107</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-bilinear-factorization-multi-view-subspace-clustering-1906.08107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-bilinear-factorization-multi-view-subspace-clustering-1906.08107"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-adversarial-imitation-learning-1906.08113</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-adversarial-imitation-learning-1906.08113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-adversarial-imitation-learning-1906.08113"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-restless-multi-armed-bandits-via-adaptive-arm-sequencing-rules-1906.08120</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-restless-multi-armed-bandits-via-adaptive-arm-sequencing-rules-1906.08120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-restless-multi-armed-bandits-via-adaptive-arm-sequencing-rules-1906.08120"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-set-valued-prediction-in-multi-class-classification-1906.08129</loc><lastmod>2020-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-set-valued-prediction-in-multi-class-classification-1906.08129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-set-valued-prediction-in-multi-class-classification-1906.08129"/></url>
<url><loc>https://scifaro.com/en/abs/generative-restricted-kernel-machines-a-framework-for-multi-view-generation-and-disentangled-feature-learning-1906.08144</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-restricted-kernel-machines-a-framework-for-multi-view-generation-and-disentangled-feature-learning-1906.08144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-restricted-kernel-machines-a-framework-for-multi-view-generation-and-disentangled-feature-learning-1906.08144"/></url>
<url><loc>https://scifaro.com/en/abs/learning-disentangled-representations-of-timbre-and-pitch-for-musical-instrument-sounds-using-gaussian-mixture-variational-autoencoders-1906.08152</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-disentangled-representations-of-timbre-and-pitch-for-musical-instrument-sounds-using-gaussian-mixture-variational-autoencoders-1906.08152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-disentangled-representations-of-timbre-and-pitch-for-musical-instrument-sounds-using-gaussian-mixture-variational-autoencoders-1906.08152"/></url>
<url><loc>https://scifaro.com/en/abs/batchbald-efficient-and-diverse-batch-acquisition-for-deep-bayesian-active-learning-1906.08158</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batchbald-efficient-and-diverse-batch-acquisition-for-deep-bayesian-active-learning-1906.08158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batchbald-efficient-and-diverse-batch-acquisition-for-deep-bayesian-active-learning-1906.08158"/></url>
<url><loc>https://scifaro.com/en/abs/pabo-pseudo-agent-based-multi-objective-bayesian-hyperparameter-optimization-for-efficient-neural-accelerator-design-1906.08167</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pabo-pseudo-agent-based-multi-objective-bayesian-hyperparameter-optimization-for-efficient-neural-accelerator-design-1906.08167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pabo-pseudo-agent-based-multi-objective-bayesian-hyperparameter-optimization-for-efficient-neural-accelerator-design-1906.08167"/></url>
<url><loc>https://scifaro.com/en/abs/reward-prediction-error-as-an-exploration-objective-in-deep-rl-1906.08189</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reward-prediction-error-as-an-exploration-objective-in-deep-rl-1906.08189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reward-prediction-error-as-an-exploration-objective-in-deep-rl-1906.08189"/></url>
<url><loc>https://scifaro.com/en/abs/control-what-you-can-intrinsically-motivated-task-planning-agent-1906.08190</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/control-what-you-can-intrinsically-motivated-task-planning-agent-1906.08190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/control-what-you-can-intrinsically-motivated-task-planning-agent-1906.08190"/></url>
<url><loc>https://scifaro.com/en/abs/variational-fair-clustering-1906.08207</loc><lastmod>2020-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-fair-clustering-1906.08207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-fair-clustering-1906.08207"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-state-representation-learning-in-atari-1906.08226</loc><lastmod>2020-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-state-representation-learning-in-atari-1906.08226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-state-representation-learning-in-atari-1906.08226"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-protein-transfer-learning-with-tape-1906.08230</loc><lastmod>2019-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-protein-transfer-learning-with-tape-1906.08230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-protein-transfer-learning-with-tape-1906.08230"/></url>
<url><loc>https://scifaro.com/en/abs/provable-gradient-variance-guarantees-for-black-box-variational-inference-1906.08241</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-gradient-variance-guarantees-for-black-box-variational-inference-1906.08241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-gradient-variance-guarantees-for-black-box-variational-inference-1906.08241"/></url>
<url><loc>https://scifaro.com/en/abs/when-to-trust-your-model-model-based-policy-optimization-1906.08253</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-to-trust-your-model-model-based-policy-optimization-1906.08253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-to-trust-your-model-model-based-policy-optimization-1906.08253"/></url>
<url><loc>https://scifaro.com/en/abs/training-on-test-data-removing-near-duplicates-in-fashion-mnist-1906.08255</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-on-test-data-removing-near-duplicates-in-fashion-mnist-1906.08255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-on-test-data-removing-near-duplicates-in-fashion-mnist-1906.08255"/></url>
<url><loc>https://scifaro.com/en/abs/steinhaus-filtration-and-stable-paths-in-the-mapper-1906.08256</loc><lastmod>2025-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/steinhaus-filtration-and-stable-paths-in-the-mapper-1906.08256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/steinhaus-filtration-and-stable-paths-in-the-mapper-1906.08256"/></url>
<url><loc>https://scifaro.com/en/abs/safe-and-near-optimal-policy-learning-for-model-predictive-control-using-primal-dual-neural-networks-1906.08257</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-and-near-optimal-policy-learning-for-model-predictive-control-using-primal-dual-neural-networks-1906.08257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-and-near-optimal-policy-learning-for-model-predictive-control-using-primal-dual-neural-networks-1906.08257"/></url>
<url><loc>https://scifaro.com/en/abs/solver-recommendation-for-transport-problems-in-slabs-using-machine-learning-1906.08259</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solver-recommendation-for-transport-problems-in-slabs-using-machine-learning-1906.08259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solver-recommendation-for-transport-problems-in-slabs-using-machine-learning-1906.08259"/></url>
<url><loc>https://scifaro.com/en/abs/swiftnet-using-graph-propagation-as-meta-knowledge-to-search-highly-representative-neural-architectures-1906.08305</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/swiftnet-using-graph-propagation-as-meta-knowledge-to-search-highly-representative-neural-architectures-1906.08305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/swiftnet-using-graph-propagation-as-meta-knowledge-to-search-highly-representative-neural-architectures-1906.08305"/></url>
<url><loc>https://scifaro.com/en/abs/calibrated-model-based-deep-reinforcement-learning-1906.08312</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrated-model-based-deep-reinforcement-learning-1906.08312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrated-model-based-deep-reinforcement-learning-1906.08312"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-and-differentially-private-distributed-aggregation-in-the-shuffled-model-1906.08320</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-and-differentially-private-distributed-aggregation-in-the-shuffled-model-1906.08320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-and-differentially-private-distributed-aggregation-in-the-shuffled-model-1906.08320"/></url>
<url><loc>https://scifaro.com/en/abs/the-functional-neural-process-1906.08324</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-functional-neural-process-1906.08324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-functional-neural-process-1906.08324"/></url>
<url><loc>https://scifaro.com/en/abs/gait-a-geometric-approach-to-information-theory-1906.08325</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gait-a-geometric-approach-to-information-theory-1906.08325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gait-a-geometric-approach-to-information-theory-1906.08325"/></url>
<url><loc>https://scifaro.com/en/abs/learning-patient-engagement-in-care-management-performance-vs-interpretability-1906.08339</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-patient-engagement-in-care-management-performance-vs-interpretability-1906.08339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-patient-engagement-in-care-management-performance-vs-interpretability-1906.08339"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-voltage-distribution-for-low-voltage-networks-using-deep-learning-1906.08374</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-voltage-distribution-for-low-voltage-networks-using-deep-learning-1906.08374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-voltage-distribution-for-low-voltage-networks-using-deep-learning-1906.08374"/></url>
<url><loc>https://scifaro.com/en/abs/inherent-tradeoffs-in-learning-fair-representations-1906.08386</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inherent-tradeoffs-in-learning-fair-representations-1906.08386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inherent-tradeoffs-in-learning-fair-representations-1906.08386"/></url>
<url><loc>https://scifaro.com/en/abs/experience-replay-optimization-1906.08387</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/experience-replay-optimization-1906.08387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/experience-replay-optimization-1906.08387"/></url>
<url><loc>https://scifaro.com/en/abs/data-interpolating-prediction-alternative-interpretation-of-mixup-1906.08412</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-interpolating-prediction-alternative-interpretation-of-mixup-1906.08412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-interpolating-prediction-alternative-interpretation-of-mixup-1906.08412"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-regularization-for-visual-question-answering-strengths-shortcomings-and-side-effects-1906.08430</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-regularization-for-visual-question-answering-strengths-shortcomings-and-side-effects-1906.08430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-regularization-for-visual-question-answering-strengths-shortcomings-and-side-effects-1906.08430"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-exploding-and-vanishing-gradients-analysing-rnn-training-using-attractors-and-smoothness-1906.08482</loc><lastmod>2020-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-exploding-and-vanishing-gradients-analysing-rnn-training-using-attractors-and-smoothness-1906.08482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-exploding-and-vanishing-gradients-analysing-rnn-training-using-attractors-and-smoothness-1906.08482"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-logic-neural-networks-for-reasoning-1906.08495</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-logic-neural-networks-for-reasoning-1906.08495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-logic-neural-networks-for-reasoning-1906.08495"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-mini-batch-sarah-by-step-size-rules-1906.08496</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-mini-batch-sarah-by-step-size-rules-1906.08496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-mini-batch-sarah-by-step-size-rules-1906.08496"/></url>
<url><loc>https://scifaro.com/en/abs/preprocessing-methods-and-pipelines-of-data-mining-an-overview-1906.08510</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preprocessing-methods-and-pipelines-of-data-mining-an-overview-1906.08510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preprocessing-methods-and-pipelines-of-data-mining-an-overview-1906.08510"/></url>
<url><loc>https://scifaro.com/en/abs/max-plus-matching-pursuit-for-deterministic-markov-decision-processes-1906.08524</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-plus-matching-pursuit-for-deterministic-markov-decision-processes-1906.08524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-plus-matching-pursuit-for-deterministic-markov-decision-processes-1906.08524"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-and-storing-network-intrusion-detection-data-using-bayesian-coresets-a-preliminary-study-in-offline-and-streaming-settings-1906.08528</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-and-storing-network-intrusion-detection-data-using-bayesian-coresets-a-preliminary-study-in-offline-and-streaming-settings-1906.08528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-and-storing-network-intrusion-detection-data-using-bayesian-coresets-a-preliminary-study-in-offline-and-streaming-settings-1906.08528"/></url>
<url><loc>https://scifaro.com/en/abs/regional-based-query-in-graph-active-learning-1906.08541</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regional-based-query-in-graph-active-learning-1906.08541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regional-based-query-in-graph-active-learning-1906.08541"/></url>
<url><loc>https://scifaro.com/en/abs/unleashing-the-unused-potential-of-i-vectors-enabled-by-gpu-acceleration-1906.08556</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unleashing-the-unused-potential-of-i-vectors-enabled-by-gpu-acceleration-1906.08556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unleashing-the-unused-potential-of-i-vectors-enabled-by-gpu-acceleration-1906.08556"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-modelling-in-practice-using-uncertainty-to-improve-trustworthiness-in-medical-applications-1906.08619</loc><lastmod>2024-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-modelling-in-practice-using-uncertainty-to-improve-trustworthiness-in-medical-applications-1906.08619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-modelling-in-practice-using-uncertainty-to-improve-trustworthiness-in-medical-applications-1906.08619"/></url>
<url><loc>https://scifaro.com/en/abs/energy-models-for-better-pseudo-labels-improving-semi-supervised-classification-with-the-1-laplacian-graph-energy-1906.08635</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-models-for-better-pseudo-labels-improving-semi-supervised-classification-with-the-1-laplacian-graph-energy-1906.08635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-models-for-better-pseudo-labels-improving-semi-supervised-classification-with-the-1-laplacian-graph-energy-1906.08635"/></url>
<url><loc>https://scifaro.com/en/abs/back-to-simplicity-how-to-train-accurate-bnns-from-scratch-1906.08637</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/back-to-simplicity-how-to-train-accurate-bnns-from-scratch-1906.08637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/back-to-simplicity-how-to-train-accurate-bnns-from-scratch-1906.08637"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-model-based-planning-with-policy-networks-1906.08649</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-model-based-planning-with-policy-networks-1906.08649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-model-based-planning-with-policy-networks-1906.08649"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-influence-using-disentangled-representations-to-audit-model-predictions-1906.08652</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-influence-using-disentangled-representations-to-audit-model-predictions-1906.08652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-influence-using-disentangled-representations-to-audit-model-predictions-1906.08652"/></url>
<url><loc>https://scifaro.com/en/abs/id3-learns-juntas-for-smoothed-product-distributions-1906.08654</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/id3-learns-juntas-for-smoothed-product-distributions-1906.08654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/id3-learns-juntas-for-smoothed-product-distributions-1906.08654"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-one-sided-full-information-bandit-1906.08656</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-one-sided-full-information-bandit-1906.08656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-one-sided-full-information-bandit-1906.08656"/></url>
<url><loc>https://scifaro.com/en/abs/the-limited-multi-label-projection-layer-1906.08707</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-limited-multi-label-projection-layer-1906.08707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-limited-multi-label-projection-layer-1906.08707"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-and-classification-networks-1906.08714</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-and-classification-networks-1906.08714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-and-classification-networks-1906.08714"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-for-control-of-dynamical-systems-1906.08720</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-for-control-of-dynamical-systems-1906.08720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-for-control-of-dynamical-systems-1906.08720"/></url>
<url><loc>https://scifaro.com/en/abs/we-need-no-pixels-video-manipulation-detection-using-stream-descriptors-1906.08743</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/we-need-no-pixels-video-manipulation-detection-using-stream-descriptors-1906.08743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/we-need-no-pixels-video-manipulation-detection-using-stream-descriptors-1906.08743"/></url>
<url><loc>https://scifaro.com/en/abs/progressive-gradient-pruning-for-classification-detection-and-domainadaptation-1906.08746</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progressive-gradient-pruning-for-classification-detection-and-domainadaptation-1906.08746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progressive-gradient-pruning-for-classification-detection-and-domainadaptation-1906.08746"/></url>
<url><loc>https://scifaro.com/en/abs/submodular-batch-selection-for-training-deep-neural-networks-1906.08771</loc><lastmod>2019-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/submodular-batch-selection-for-training-deep-neural-networks-1906.08771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/submodular-batch-selection-for-training-deep-neural-networks-1906.08771"/></url>
<url><loc>https://scifaro.com/en/abs/when-multiple-agents-learn-to-schedule-a-distributed-radio-resource-management-framework-1906.08792</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-multiple-agents-learn-to-schedule-a-distributed-radio-resource-management-framework-1906.08792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-multiple-agents-learn-to-schedule-a-distributed-radio-resource-management-framework-1906.08792"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-reinforcement-learning-approach-for-global-routing-1906.08809</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-reinforcement-learning-approach-for-global-routing-1906.08809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-reinforcement-learning-approach-for-global-routing-1906.08809"/></url>
<url><loc>https://scifaro.com/en/abs/cross-subject-statistical-shift-estimation-for-generalized-electroencephalography-based-mental-workload-assessment-1906.08823</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-subject-statistical-shift-estimation-for-generalized-electroencephalography-based-mental-workload-assessment-1906.08823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-subject-statistical-shift-estimation-for-generalized-electroencephalography-based-mental-workload-assessment-1906.08823"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-prediction-of-a-multi-scale-lorenz-96-chaotic-system-using-deep-learning-methods-reservoir-computing-ann-and-rnn-lstm-1906.08829</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-prediction-of-a-multi-scale-lorenz-96-chaotic-system-using-deep-learning-methods-reservoir-computing-ann-and-rnn-lstm-1906.08829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-prediction-of-a-multi-scale-lorenz-96-chaotic-system-using-deep-learning-methods-reservoir-computing-ann-and-rnn-lstm-1906.08829"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-in-the-automotive-industry-recent-advances-and-application-examples-1906.08834</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-in-the-automotive-industry-recent-advances-and-application-examples-1906.08834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-in-the-automotive-industry-recent-advances-and-application-examples-1906.08834"/></url>
<url><loc>https://scifaro.com/en/abs/one-vs-all-models-for-asynchronous-training-an-empirical-analysis-1906.08858</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-vs-all-models-for-asynchronous-training-an-empirical-analysis-1906.08858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-vs-all-models-for-asynchronous-training-an-empirical-analysis-1906.08858"/></url>
<url><loc>https://scifaro.com/en/abs/placeto-learning-generalizable-device-placement-algorithms-for-distributed-machine-learning-1906.08879</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/placeto-learning-generalizable-device-placement-algorithms-for-distributed-machine-learning-1906.08879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/placeto-learning-generalizable-device-placement-algorithms-for-distributed-machine-learning-1906.08879"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-spectrum-gaussian-process-for-bayesian-optimization-1906.08898</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-spectrum-gaussian-process-for-bayesian-optimization-1906.08898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-spectrum-gaussian-process-for-bayesian-optimization-1906.08898"/></url>
<url><loc>https://scifaro.com/en/abs/neural-topographic-factor-analysis-for-fmri-data-1906.08901</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-topographic-factor-analysis-for-fmri-data-1906.08901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-topographic-factor-analysis-for-fmri-data-1906.08901"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-inspired-support-vector-machine-1906.08902</loc><lastmod>2023-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-inspired-support-vector-machine-1906.08902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-inspired-support-vector-machine-1906.08902"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-weight-learning-approach-for-multi-view-clustering-1906.08905</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-weight-learning-approach-for-multi-view-clustering-1906.08905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-weight-learning-approach-for-multi-view-clustering-1906.08905"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-of-textual-representations-1906.08934</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-of-textual-representations-1906.08934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-of-textual-representations-1906.08934"/></url>
<url><loc>https://scifaro.com/en/abs/deep-leakage-from-gradients-1906.08935</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-leakage-from-gradients-1906.08935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-leakage-from-gradients-1906.08935"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-exploration-in-generalized-linear-bandits-1906.08947</loc><lastmod>2023-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-exploration-in-generalized-linear-bandits-1906.08947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-exploration-in-generalized-linear-bandits-1906.08947"/></url>
<url><loc>https://scifaro.com/en/abs/a-fourier-perspective-on-model-robustness-in-computer-vision-1906.08988</loc><lastmod>2020-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fourier-perspective-on-model-robustness-in-computer-vision-1906.08988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fourier-perspective-on-model-robustness-in-computer-vision-1906.08988"/></url>
<url><loc>https://scifaro.com/en/abs/connectivity-optimized-representation-learning-via-persistent-homology-1906.09003</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/connectivity-optimized-representation-learning-via-persistent-homology-1906.09003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/connectivity-optimized-representation-learning-via-persistent-homology-1906.09003"/></url>
<url><loc>https://scifaro.com/en/abs/learning-as-the-unsupervised-alignment-of-conceptual-systems-1906.09012</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-as-the-unsupervised-alignment-of-conceptual-systems-1906.09012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-as-the-unsupervised-alignment-of-conceptual-systems-1906.09012"/></url>
<url><loc>https://scifaro.com/en/abs/backpropagation-friendly-eigendecomposition-1906.09023</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backpropagation-friendly-eigendecomposition-1906.09023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backpropagation-friendly-eigendecomposition-1906.09023"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-adversarial-bit-prediction-1906.09059</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-adversarial-bit-prediction-1906.09059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-adversarial-bit-prediction-1906.09059"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-learning-rate-clipping-stabilizes-learning-1906.09060</loc><lastmod>2020-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-learning-rate-clipping-stabilizes-learning-1906.09060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-learning-rate-clipping-stabilizes-learning-1906.09060"/></url>
<url><loc>https://scifaro.com/en/abs/joint-detection-of-malicious-domains-and-infected-clients-1906.09084</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-detection-of-malicious-domains-and-infected-clients-1906.09084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-detection-of-malicious-domains-and-infected-clients-1906.09084"/></url>
<url><loc>https://scifaro.com/en/abs/meta-model-framework-for-surrogate-based-parameter-estimation-in-dynamical-systems-1906.09088</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-model-framework-for-surrogate-based-parameter-estimation-in-dynamical-systems-1906.09088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-model-framework-for-surrogate-based-parameter-estimation-in-dynamical-systems-1906.09088"/></url>
<url><loc>https://scifaro.com/en/abs/entropic-risk-measure-in-policy-search-1906.09090</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropic-risk-measure-in-policy-search-1906.09090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropic-risk-measure-in-policy-search-1906.09090"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-bayesian-solution-for-unknown-discrete-markov-decision-process-1906.09114</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-bayesian-solution-for-unknown-discrete-markov-decision-process-1906.09114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-bayesian-solution-for-unknown-discrete-markov-decision-process-1906.09114"/></url>
<url><loc>https://scifaro.com/en/abs/continual-reinforcement-learning-with-diversity-exploration-and-adversarial-self-correction-1906.09205</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-reinforcement-learning-with-diversity-exploration-and-adversarial-self-correction-1906.09205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-reinforcement-learning-with-diversity-exploration-and-adversarial-self-correction-1906.09205"/></url>
<url><loc>https://scifaro.com/en/abs/universal-approximation-of-input-output-maps-by-temporal-convolutional-nets-1906.09211</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-approximation-of-input-output-maps-by-temporal-convolutional-nets-1906.09211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-approximation-of-input-output-maps-by-temporal-convolutional-nets-1906.09211"/></url>
<url><loc>https://scifaro.com/en/abs/fliptest-fairness-testing-via-optimal-transport-1906.09218</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fliptest-fairness-testing-via-optimal-transport-1906.09218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fliptest-fairness-testing-via-optimal-transport-1906.09218"/></url>
<url><loc>https://scifaro.com/en/abs/disentangled-skill-embeddings-for-reinforcement-learning-1906.09223</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-skill-embeddings-for-reinforcement-learning-1906.09223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-skill-embeddings-for-reinforcement-learning-1906.09223"/></url>
<url><loc>https://scifaro.com/en/abs/guaranteed-validity-for-empirical-approaches-to-adaptive-data-analysis-1906.09231</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guaranteed-validity-for-empirical-approaches-to-adaptive-data-analysis-1906.09231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guaranteed-validity-for-empirical-approaches-to-adaptive-data-analysis-1906.09231"/></url>
<url><loc>https://scifaro.com/en/abs/theory-of-the-frequency-principle-for-general-deep-neural-networks-1906.09235</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-of-the-frequency-principle-for-general-deep-neural-networks-1906.09235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-of-the-frequency-principle-for-general-deep-neural-networks-1906.09235"/></url>
<url><loc>https://scifaro.com/en/abs/shaping-belief-states-with-generative-environment-models-for-rl-1906.09237</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shaping-belief-states-with-generative-environment-models-for-rl-1906.09237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shaping-belief-states-with-generative-environment-models-for-rl-1906.09237"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-weakly-dependent-data-under-dobrushin-s-condition-1906.09247</loc><lastmod>2019-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-weakly-dependent-data-under-dobrushin-s-condition-1906.09247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-weakly-dependent-data-under-dobrushin-s-condition-1906.09247"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-qoe-modeling-using-collaborative-learning-1906.09248</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-qoe-modeling-using-collaborative-learning-1906.09248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-qoe-modeling-using-collaborative-learning-1906.09248"/></url>
<url><loc>https://scifaro.com/en/abs/generating-counterfactual-and-contrastive-explanations-using-shap-1906.09293</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-counterfactual-and-contrastive-explanations-using-shap-1906.09293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-counterfactual-and-contrastive-explanations-using-shap-1906.09293"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-to-fool-iris-recognition-systems-1906.09300</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-to-fool-iris-recognition-systems-1906.09300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-to-fool-iris-recognition-systems-1906.09300"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-state-aliasing-in-structured-prediction-with-rnns-1906.09310</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-state-aliasing-in-structured-prediction-with-rnns-1906.09310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-state-aliasing-in-structured-prediction-with-rnns-1906.09310"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-convex-constraints-1906.09323</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-convex-constraints-1906.09323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-convex-constraints-1906.09323"/></url>
<url><loc>https://scifaro.com/en/abs/segma-semi-supervised-gaussian-mixture-auto-encoder-1906.09333</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/segma-semi-supervised-gaussian-mixture-auto-encoder-1906.09333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/segma-semi-supervised-gaussian-mixture-auto-encoder-1906.09333"/></url>
<url><loc>https://scifaro.com/en/abs/g-pate-scalable-differentially-private-data-generator-via-private-aggregation-of-teacher-discriminators-1906.09338</loc><lastmod>2022-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/g-pate-scalable-differentially-private-data-generator-via-private-aggregation-of-teacher-discriminators-1906.09338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/g-pate-scalable-differentially-private-data-generator-via-private-aggregation-of-teacher-discriminators-1906.09338"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-reinforcement-learning-techniques-for-effective-policy-adoption-and-validation-1906.09340</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-reinforcement-learning-techniques-for-effective-policy-adoption-and-validation-1906.09340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-reinforcement-learning-techniques-for-effective-policy-adoption-and-validation-1906.09340"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-ensemble-classification-with-sequential-and-networked-data-1906.09356</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-ensemble-classification-with-sequential-and-networked-data-1906.09356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-ensemble-classification-with-sequential-and-networked-data-1906.09356"/></url>
<url><loc>https://scifaro.com/en/abs/detection-of-myocardial-infarction-based-on-novel-deep-transfer-learning-methods-for-urban-healthcare-in-smart-cities-1906.09358</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-of-myocardial-infarction-based-on-novel-deep-transfer-learning-methods-for-urban-healthcare-in-smart-cities-1906.09358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-of-myocardial-infarction-based-on-novel-deep-transfer-learning-methods-for-urban-healthcare-in-smart-cities-1906.09358"/></url>
<url><loc>https://scifaro.com/en/abs/learning-set-equivariant-functions-with-swarm-mappings-1906.09400</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-set-equivariant-functions-with-swarm-mappings-1906.09400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-set-equivariant-functions-with-swarm-mappings-1906.09400"/></url>
<url><loc>https://scifaro.com/en/abs/alchemy-a-quantum-chemistry-dataset-for-benchmarking-ai-models-1906.09427</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alchemy-a-quantum-chemistry-dataset-for-benchmarking-ai-models-1906.09427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alchemy-a-quantum-chemistry-dataset-for-benchmarking-ai-models-1906.09427"/></url>
<url><loc>https://scifaro.com/en/abs/an-enhanced-knn-based-twin-support-vector-machine-with-stable-learning-rules-1906.09443</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-enhanced-knn-based-twin-support-vector-machine-with-stable-learning-rules-1906.09443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-enhanced-knn-based-twin-support-vector-machine-with-stable-learning-rules-1906.09443"/></url>
<url><loc>https://scifaro.com/en/abs/flattening-a-hierarchical-clustering-through-active-learning-1906.09458</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flattening-a-hierarchical-clustering-through-active-learning-1906.09458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flattening-a-hierarchical-clustering-through-active-learning-1906.09458"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-with-directionally-constrained-search-1906.09459</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-with-directionally-constrained-search-1906.09459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-with-directionally-constrained-search-1906.09459"/></url>
<url><loc>https://scifaro.com/en/abs/asymmetric-random-projections-1906.09489</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymmetric-random-projections-1906.09489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymmetric-random-projections-1906.09489"/></url>
<url><loc>https://scifaro.com/en/abs/learning-belief-representations-for-imitation-learning-in-pomdps-1906.09510</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-belief-representations-for-imitation-learning-in-pomdps-1906.09510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-belief-representations-for-imitation-learning-in-pomdps-1906.09510"/></url>
<url><loc>https://scifaro.com/en/abs/defending-against-adversarial-examples-with-k-nearest-neighbor-1906.09525</loc><lastmod>2020-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defending-against-adversarial-examples-with-k-nearest-neighbor-1906.09525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defending-against-adversarial-examples-with-k-nearest-neighbor-1906.09525"/></url>
<url><loc>https://scifaro.com/en/abs/learning-activation-functions-a-new-paradigm-for-understanding-neural-networks-1906.09529</loc><lastmod>2020-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-activation-functions-a-new-paradigm-for-understanding-neural-networks-1906.09529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-activation-functions-a-new-paradigm-for-understanding-neural-networks-1906.09529"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-latent-dimension-of-linear-dynamical-system-with-minimum-description-length-1906.09536</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-latent-dimension-of-linear-dynamical-system-with-minimum-description-length-1906.09536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-latent-dimension-of-linear-dynamical-system-with-minimum-description-length-1906.09536"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-calibration-for-convolutional-neural-networks-using-structured-dropout-1906.09551</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-calibration-for-convolutional-neural-networks-using-structured-dropout-1906.09551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-calibration-for-convolutional-neural-networks-using-structured-dropout-1906.09551"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-guided-neural-architecture-search-1906.09557</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-guided-neural-architecture-search-1906.09557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-guided-neural-architecture-search-1906.09557"/></url>
<url><loc>https://scifaro.com/en/abs/ego-cnn-distributed-egocentric-representations-of-graphs-for-detecting-critical-structures-1906.09602</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ego-cnn-distributed-egocentric-representations-of-graphs-for-detecting-critical-structures-1906.09602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ego-cnn-distributed-egocentric-representations-of-graphs-for-detecting-critical-structures-1906.09602"/></url>
<url><loc>https://scifaro.com/en/abs/the-cost-of-a-reductions-approach-to-private-fair-optimization-1906.09613</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-cost-of-a-reductions-approach-to-private-fair-optimization-1906.09613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-cost-of-a-reductions-approach-to-private-fair-optimization-1906.09613"/></url>
<url><loc>https://scifaro.com/en/abs/making-the-cut-a-bandit-based-approach-to-tiered-interviewing-1906.09621</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-the-cut-a-bandit-based-approach-to-tiered-interviewing-1906.09621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-the-cut-a-bandit-based-approach-to-tiered-interviewing-1906.09621"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-feasibility-of-learning-rather-than-assuming-human-biases-for-reward-inference-1906.09624</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-feasibility-of-learning-rather-than-assuming-human-biases-for-reward-inference-1906.09624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-feasibility-of-learning-rather-than-assuming-human-biases-for-reward-inference-1906.09624"/></url>
<url><loc>https://scifaro.com/en/abs/nested-cavity-classifier-performance-and-remedy-1906.09669</loc><lastmod>2019-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-cavity-classifier-performance-and-remedy-1906.09669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-cavity-classifier-performance-and-remedy-1906.09669"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-policy-gradient-1906.09674</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-policy-gradient-1906.09674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-policy-gradient-1906.09674"/></url>
<url><loc>https://scifaro.com/en/abs/quality-of-uncertainty-quantification-for-bayesian-neural-network-inference-1906.09686</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quality-of-uncertainty-quantification-for-bayesian-neural-network-inference-1906.09686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quality-of-uncertainty-quantification-for-bayesian-neural-network-inference-1906.09686"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-of-machine-learning-fairness-across-domains-1906.09688</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-of-machine-learning-fairness-across-domains-1906.09688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-of-machine-learning-fairness-across-domains-1906.09688"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-computation-of-optimal-transport-maps-1906.09691</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-computation-of-optimal-transport-maps-1906.09691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-computation-of-optimal-transport-maps-1906.09691"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-uncertainty-matching-for-unsupervised-domain-adaptation-1906.09693</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-uncertainty-matching-for-unsupervised-domain-adaptation-1906.09693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-uncertainty-matching-for-unsupervised-domain-adaptation-1906.09693"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-use-of-experience-in-first-person-shooter-environments-1906.09734</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-use-of-experience-in-first-person-shooter-environments-1906.09734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-use-of-experience-in-first-person-shooter-environments-1906.09734"/></url>
<url><loc>https://scifaro.com/en/abs/the-nn-stacking-feature-weighted-linear-stacking-through-neural-networks-1906.09735</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-nn-stacking-feature-weighted-linear-stacking-through-neural-networks-1906.09735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-nn-stacking-feature-weighted-linear-stacking-through-neural-networks-1906.09735"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-effectiveness-and-efficiency-of-stochastic-neighbour-embedding-with-isolation-kernel-1906.09744</loc><lastmod>2024-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-effectiveness-and-efficiency-of-stochastic-neighbour-embedding-with-isolation-kernel-1906.09744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-effectiveness-and-efficiency-of-stochastic-neighbour-embedding-with-isolation-kernel-1906.09744"/></url>
<url><loc>https://scifaro.com/en/abs/fault-matters-sensor-data-fusion-for-detection-of-faults-using-dempster-shafer-theory-of-evidence-in-iot-based-applications-1906.09769</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fault-matters-sensor-data-fusion-for-detection-of-faults-using-dempster-shafer-theory-of-evidence-in-iot-based-applications-1906.09769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fault-matters-sensor-data-fusion-for-detection-of-faults-using-dempster-shafer-theory-of-evidence-in-iot-based-applications-1906.09769"/></url>
<url><loc>https://scifaro.com/en/abs/in-hindsight-a-smooth-reward-for-steady-exploration-1906.09781</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-hindsight-a-smooth-reward-for-steady-exploration-1906.09781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-hindsight-a-smooth-reward-for-steady-exploration-1906.09781"/></url>
<url><loc>https://scifaro.com/en/abs/deep-conservative-policy-iteration-1906.09784</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-conservative-policy-iteration-1906.09784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-conservative-policy-iteration-1906.09784"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-distilled-evolutionary-reinforcement-learning-1906.09807</loc><lastmod>2020-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-distilled-evolutionary-reinforcement-learning-1906.09807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-distilled-evolutionary-reinforcement-learning-1906.09807"/></url>
<url><loc>https://scifaro.com/en/abs/binary-stochastic-representations-for-large-multi-class-classification-1906.09838</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-stochastic-representations-for-large-multi-class-classification-1906.09838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-stochastic-representations-for-large-multi-class-classification-1906.09838"/></url>
<url><loc>https://scifaro.com/en/abs/lifelong-learning-starting-from-zero-1906.09852</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifelong-learning-starting-from-zero-1906.09852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifelong-learning-starting-from-zero-1906.09852"/></url>
<url><loc>https://scifaro.com/en/abs/universal-bayes-consistency-in-metric-spaces-1906.09855</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-bayes-consistency-in-metric-spaces-1906.09855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-bayes-consistency-in-metric-spaces-1906.09855"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-metric-learning-with-memory-network-for-multi-relational-recommender-systems-1906.09882</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-metric-learning-with-memory-network-for-multi-relational-recommender-systems-1906.09882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-metric-learning-with-memory-network-for-multi-relational-recommender-systems-1906.09882"/></url>
<url><loc>https://scifaro.com/en/abs/embedded-deep-learning-for-sleep-staging-1906.09905</loc><lastmod>2020-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedded-deep-learning-for-sleep-staging-1906.09905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedded-deep-learning-for-sleep-staging-1906.09905"/></url>
<url><loc>https://scifaro.com/en/abs/c-salt-mining-class-specific-alterations-in-boolean-matrix-factorization-1906.09907</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/c-salt-mining-class-specific-alterations-in-boolean-matrix-factorization-1906.09907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/c-salt-mining-class-specific-alterations-in-boolean-matrix-factorization-1906.09907"/></url>
<url><loc>https://scifaro.com/en/abs/to-each-route-its-own-eta-a-generative-modeling-framework-for-eta-prediction-1906.09925</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-each-route-its-own-eta-a-generative-modeling-framework-for-eta-prediction-1906.09925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-each-route-its-own-eta-a-generative-modeling-framework-for-eta-prediction-1906.09925"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-adaptation-of-deep-forecasting-models-using-adaptive-recurrent-units-1906.09926</loc><lastmod>2019-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-adaptation-of-deep-forecasting-models-using-adaptive-recurrent-units-1906.09926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-adaptation-of-deep-forecasting-models-using-adaptive-recurrent-units-1906.09926"/></url>
<url><loc>https://scifaro.com/en/abs/modern-deep-reinforcement-learning-algorithms-1906.10025</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modern-deep-reinforcement-learning-algorithms-1906.10025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modern-deep-reinforcement-learning-algorithms-1906.10025"/></url>
<url><loc>https://scifaro.com/en/abs/variations-on-the-chebyshev-lagrange-activation-function-1906.10064</loc><lastmod>2019-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variations-on-the-chebyshev-lagrange-activation-function-1906.10064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variations-on-the-chebyshev-lagrange-activation-function-1906.10064"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-independent-pac-learning-of-halfspaces-with-massart-noise-1906.10075</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-independent-pac-learning-of-halfspaces-with-massart-noise-1906.10075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-independent-pac-learning-of-halfspaces-with-massart-noise-1906.10075"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-comparison-of-faiss-and-fenshses-for-nearest-neighbor-search-in-hamming-space-1906.10095</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-comparison-of-faiss-and-fenshses-for-nearest-neighbor-search-in-hamming-space-1906.10095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-comparison-of-faiss-and-fenshses-for-nearest-neighbor-search-in-hamming-space-1906.10095"/></url>
<url><loc>https://scifaro.com/en/abs/divide-and-couple-using-monte-carlo-variational-objectives-for-posterior-approximation-1906.10115</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/divide-and-couple-using-monte-carlo-variational-objectives-for-posterior-approximation-1906.10115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/divide-and-couple-using-monte-carlo-variational-objectives-for-posterior-approximation-1906.10115"/></url>
<url><loc>https://scifaro.com/en/abs/neural-transfer-learning-for-cry-based-diagnosis-of-perinatal-asphyxia-1906.10199</loc><lastmod>2020-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-transfer-learning-for-cry-based-diagnosis-of-perinatal-asphyxia-1906.10199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-transfer-learning-for-cry-based-diagnosis-of-perinatal-asphyxia-1906.10199"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretical-connection-between-statistical-physics-and-reinforcement-learning-1906.10228</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-connection-between-statistical-physics-and-reinforcement-learning-1906.10228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-connection-between-statistical-physics-and-reinforcement-learning-1906.10228"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-classification-with-optimal-thresholding-for-multi-composition-spectroscopic-analysis-1906.10242</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-classification-with-optimal-thresholding-for-multi-composition-spectroscopic-analysis-1906.10242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-classification-with-optimal-thresholding-for-multi-composition-spectroscopic-analysis-1906.10242"/></url>
<url><loc>https://scifaro.com/en/abs/generating-user-friendly-explanations-for-loan-denials-using-gans-1906.10244</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-user-friendly-explanations-for-loan-denials-using-gans-1906.10244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-user-friendly-explanations-for-loan-denials-using-gans-1906.10244"/></url>
<url><loc>https://scifaro.com/en/abs/dlime-a-deterministic-local-interpretable-model-agnostic-explanations-approach-for-computer-aided-diagnosis-systems-1906.10263</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dlime-a-deterministic-local-interpretable-model-agnostic-explanations-approach-for-computer-aided-diagnosis-systems-1906.10263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dlime-a-deterministic-local-interpretable-model-agnostic-explanations-approach-for-computer-aided-diagnosis-systems-1906.10263"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-neural-processes-1906.10264</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-neural-processes-1906.10264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-neural-processes-1906.10264"/></url>
<url><loc>https://scifaro.com/en/abs/neural-proximal-trust-region-policy-optimization-attains-globally-optimal-policy-1906.10306</loc><lastmod>2023-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-proximal-trust-region-policy-optimization-attains-globally-optimal-policy-1906.10306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-proximal-trust-region-policy-optimization-attains-globally-optimal-policy-1906.10306"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-severe-traffic-accidents-with-spatial-and-temporal-features-1906.10317</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-severe-traffic-accidents-with-spatial-and-temporal-features-1906.10317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-severe-traffic-accidents-with-spatial-and-temporal-features-1906.10317"/></url>
<url><loc>https://scifaro.com/en/abs/ts-chief-a-scalable-and-accurate-forest-algorithm-for-time-series-classification-1906.10329</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ts-chief-a-scalable-and-accurate-forest-algorithm-for-time-series-classification-1906.10329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ts-chief-a-scalable-and-accurate-forest-algorithm-for-time-series-classification-1906.10329"/></url>
<url><loc>https://scifaro.com/en/abs/perceptual-generative-autoencoders-1906.10335</loc><lastmod>2020-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perceptual-generative-autoencoders-1906.10335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perceptual-generative-autoencoders-1906.10335"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-self-supervised-regularization-for-supervised-and-semi-supervised-learning-1906.10343</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-self-supervised-regularization-for-supervised-and-semi-supervised-learning-1906.10343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-self-supervised-regularization-for-supervised-and-semi-supervised-learning-1906.10343"/></url>
<url><loc>https://scifaro.com/en/abs/traffic-flow-combination-forecasting-method-based-on-improved-lstm-and-arima-1906.10407</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/traffic-flow-combination-forecasting-method-based-on-improved-lstm-and-arima-1906.10407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/traffic-flow-combination-forecasting-method-based-on-improved-lstm-and-arima-1906.10407"/></url>
<url><loc>https://scifaro.com/en/abs/learning-causal-state-representations-of-partially-observable-environments-1906.10437</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-causal-state-representations-of-partially-observable-environments-1906.10437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-causal-state-representations-of-partially-observable-environments-1906.10437"/></url>
<url><loc>https://scifaro.com/en/abs/policy-optimization-with-stochastic-mirror-descent-1906.10462</loc><lastmod>2022-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-optimization-with-stochastic-mirror-descent-1906.10462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-optimization-with-stochastic-mirror-descent-1906.10462"/></url>
<url><loc>https://scifaro.com/en/abs/an-unsupervised-bayesian-neural-network-for-truth-discovery-in-social-networks-1906.10470</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-unsupervised-bayesian-neural-network-for-truth-discovery-in-social-networks-1906.10470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-unsupervised-bayesian-neural-network-for-truth-discovery-in-social-networks-1906.10470"/></url>
<url><loc>https://scifaro.com/en/abs/beneficial-perturbation-network-for-continual-learning-1906.10528</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beneficial-perturbation-network-for-continual-learning-1906.10528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beneficial-perturbation-network-for-continual-learning-1906.10528"/></url>
<url><loc>https://scifaro.com/en/abs/gauge-theory-and-twins-paradox-of-disentangled-representations-1906.10545</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gauge-theory-and-twins-paradox-of-disentangled-representations-1906.10545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gauge-theory-and-twins-paradox-of-disentangled-representations-1906.10545"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-amalgamation-from-heterogeneous-networks-by-common-feature-learning-1906.10546</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-amalgamation-from-heterogeneous-networks-by-common-feature-learning-1906.10546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-amalgamation-from-heterogeneous-networks-by-common-feature-learning-1906.10546"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-the-applicability-of-authorship-verification-methods-1906.10551</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-the-applicability-of-authorship-verification-methods-1906.10551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-the-applicability-of-authorship-verification-methods-1906.10551"/></url>
<url><loc>https://scifaro.com/en/abs/deceptive-reinforcement-learning-under-adversarial-manipulations-on-cost-signals-1906.10571</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deceptive-reinforcement-learning-under-adversarial-manipulations-on-cost-signals-1906.10571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deceptive-reinforcement-learning-under-adversarial-manipulations-on-cost-signals-1906.10571"/></url>
<url><loc>https://scifaro.com/en/abs/emotion-recognition-using-fusion-of-audio-and-video-features-1906.10623</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emotion-recognition-using-fusion-of-audio-and-video-features-1906.10623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emotion-recognition-using-fusion-of-audio-and-video-features-1906.10623"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-competitive-ensembles-of-information-constrained-primitives-1906.10667</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-competitive-ensembles-of-information-constrained-primitives-1906.10667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-competitive-ensembles-of-information-constrained-primitives-1906.10667"/></url>
<url><loc>https://scifaro.com/en/abs/improving-performance-of-deep-learning-models-with-axiomatic-attribution-priors-and-expected-gradients-1906.10670</loc><lastmod>2020-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-performance-of-deep-learning-models-with-axiomatic-attribution-priors-and-expected-gradients-1906.10670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-performance-of-deep-learning-models-with-axiomatic-attribution-priors-and-expected-gradients-1906.10670"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-deep-learning-models-with-constrained-adversarial-examples-1906.10671</loc><lastmod>2019-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-deep-learning-models-with-constrained-adversarial-examples-1906.10671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-deep-learning-models-with-constrained-adversarial-examples-1906.10671"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-aware-model-based-policy-optimization-1906.10717</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-aware-model-based-policy-optimization-1906.10717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-aware-model-based-policy-optimization-1906.10717"/></url>
<url><loc>https://scifaro.com/en/abs/reverse-engineering-recurrent-networks-for-sentiment-classification-reveals-line-attractor-dynamics-1906.10720</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reverse-engineering-recurrent-networks-for-sentiment-classification-reveals-line-attractor-dynamics-1906.10720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reverse-engineering-recurrent-networks-for-sentiment-classification-reveals-line-attractor-dynamics-1906.10720"/></url>
<url><loc>https://scifaro.com/en/abs/the-difficulty-of-training-sparse-neural-networks-1906.10732</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-difficulty-of-training-sparse-neural-networks-1906.10732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-difficulty-of-training-sparse-neural-networks-1906.10732"/></url>
<url><loc>https://scifaro.com/en/abs/event-driven-models-1906.10740</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/event-driven-models-1906.10740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/event-driven-models-1906.10740"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-testing-survey-landscapes-and-horizons-1906.10742</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-testing-survey-landscapes-and-horizons-1906.10742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-testing-survey-landscapes-and-horizons-1906.10742"/></url>
<url><loc>https://scifaro.com/en/abs/importance-estimation-for-neural-network-pruning-1906.10771</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-estimation-for-neural-network-pruning-1906.10771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-estimation-for-neural-network-pruning-1906.10771"/></url>
<url><loc>https://scifaro.com/en/abs/are-adversarial-perturbations-a-showstopper-for-ml-based-cad-a-case-study-on-cnn-based-lithographic-hotspot-detection-1906.10773</loc><lastmod>2020-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-adversarial-perturbations-a-showstopper-for-ml-based-cad-a-case-study-on-cnn-based-lithographic-hotspot-detection-1906.10773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-adversarial-perturbations-a-showstopper-for-ml-based-cad-a-case-study-on-cnn-based-lithographic-hotspot-detection-1906.10773"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-prediction-intervals-for-patient-specific-survival-curves-1906.10780</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-prediction-intervals-for-patient-specific-survival-curves-1906.10780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-prediction-intervals-for-patient-specific-survival-curves-1906.10780"/></url>
<url><loc>https://scifaro.com/en/abs/program-synthesis-and-semantic-parsing-with-learned-code-idioms-1906.10816</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/program-synthesis-and-semantic-parsing-with-learned-code-idioms-1906.10816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/program-synthesis-and-semantic-parsing-with-learned-code-idioms-1906.10816"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-noise-convolution-gnc-smoothing-loss-function-for-distributed-large-batch-sgd-1906.10822</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-noise-convolution-gnc-smoothing-loss-function-for-distributed-large-batch-sgd-1906.10822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-noise-convolution-gnc-smoothing-loss-function-for-distributed-large-batch-sgd-1906.10822"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-optimal-transport-for-document-representation-1906.10827</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-optimal-transport-for-document-representation-1906.10827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-optimal-transport-for-document-representation-1906.10827"/></url>
<url><loc>https://scifaro.com/en/abs/dual-adaptivity-a-universal-algorithm-for-minimizing-the-adaptive-regret-of-convex-functions-1906.10851</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-adaptivity-a-universal-algorithm-for-minimizing-the-adaptive-regret-of-convex-functions-1906.10851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-adaptivity-a-universal-algorithm-for-minimizing-the-adaptive-regret-of-convex-functions-1906.10851"/></url>
<url><loc>https://scifaro.com/en/abs/task-driven-common-representation-learning-via-bridge-neural-network-1906.10897</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-driven-common-representation-learning-via-bridge-neural-network-1906.10897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-driven-common-representation-learning-via-bridge-neural-network-1906.10897"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-poisoning-towards-defenses-against-dnn-model-stealing-attacks-1906.10908</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-poisoning-towards-defenses-against-dnn-model-stealing-attacks-1906.10908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-poisoning-towards-defenses-against-dnn-model-stealing-attacks-1906.10908"/></url>
<url><loc>https://scifaro.com/en/abs/creating-a-neural-pedagogical-agent-by-jointly-learning-to-review-and-assess-1906.10910</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/creating-a-neural-pedagogical-agent-by-jointly-learning-to-review-and-assess-1906.10910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/creating-a-neural-pedagogical-agent-by-jointly-learning-to-review-and-assess-1906.10910"/></url>
<url><loc>https://scifaro.com/en/abs/towards-empathic-deep-q-learning-1906.10918</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-empathic-deep-q-learning-1906.10918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-empathic-deep-q-learning-1906.10918"/></url>
<url><loc>https://scifaro.com/en/abs/latent-multi-criteria-ratings-for-recommendations-1906.10948</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-multi-criteria-ratings-for-recommendations-1906.10948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-multi-criteria-ratings-for-recommendations-1906.10948"/></url>
<url><loc>https://scifaro.com/en/abs/defending-adversarial-attacks-by-correcting-logits-1906.10973</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defending-adversarial-attacks-by-correcting-logits-1906.10973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defending-adversarial-attacks-by-correcting-logits-1906.10973"/></url>
<url><loc>https://scifaro.com/en/abs/learning-orthogonal-projections-in-linear-bandits-1906.10981</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-orthogonal-projections-in-linear-bandits-1906.10981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-orthogonal-projections-in-linear-bandits-1906.10981"/></url>
<url><loc>https://scifaro.com/en/abs/verifying-robustness-of-gradient-boosted-models-1906.10991</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/verifying-robustness-of-gradient-boosted-models-1906.10991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/verifying-robustness-of-gradient-boosted-models-1906.10991"/></url>
<url><loc>https://scifaro.com/en/abs/expected-sarsa-lambda-with-control-variate-for-variance-reduction-1906.11058</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expected-sarsa-lambda-with-control-variate-for-variance-reduction-1906.11058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expected-sarsa-lambda-with-control-variate-for-variance-reduction-1906.11058"/></url>
<url><loc>https://scifaro.com/en/abs/optimistic-proximal-policy-optimization-1906.11075</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimistic-proximal-policy-optimization-1906.11075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimistic-proximal-policy-optimization-1906.11075"/></url>
<url><loc>https://scifaro.com/en/abs/agan-towards-automated-design-of-generative-adversarial-networks-1906.11080</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agan-towards-automated-design-of-generative-adversarial-networks-1906.11080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agan-towards-automated-design-of-generative-adversarial-networks-1906.11080"/></url>
<url><loc>https://scifaro.com/en/abs/chaining-meets-chain-rule-multilevel-entropic-regularization-and-training-of-neural-nets-1906.11148</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chaining-meets-chain-rule-multilevel-entropic-regularization-and-training-of-neural-nets-1906.11148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chaining-meets-chain-rule-multilevel-entropic-regularization-and-training-of-neural-nets-1906.11148"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-transfer-in-hierarchical-reinforcement-learning-1906.11228</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-transfer-in-hierarchical-reinforcement-learning-1906.11228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-transfer-in-hierarchical-reinforcement-learning-1906.11228"/></url>
<url><loc>https://scifaro.com/en/abs/invariance-inducing-regularization-using-worst-case-transformations-suffices-to-boost-accuracy-and-spatial-robustness-1906.11235</loc><lastmod>2019-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariance-inducing-regularization-using-worst-case-transformations-suffices-to-boost-accuracy-and-spatial-robustness-1906.11235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariance-inducing-regularization-using-worst-case-transformations-suffices-to-boost-accuracy-and-spatial-robustness-1906.11235"/></url>
<url><loc>https://scifaro.com/en/abs/a-tractable-algorithm-for-finite-horizon-continuous-reinforcement-learning-1906.11245</loc><lastmod>2019-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tractable-algorithm-for-finite-horizon-continuous-reinforcement-learning-1906.11245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tractable-algorithm-for-finite-horizon-continuous-reinforcement-learning-1906.11245"/></url>
<url><loc>https://scifaro.com/en/abs/a-story-of-two-streams-reinforcement-learning-models-from-human-behavior-and-neuropsychiatry-1906.11286</loc><lastmod>2020-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-story-of-two-streams-reinforcement-learning-models-from-human-behavior-and-neuropsychiatry-1906.11286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-story-of-two-streams-reinforcement-learning-models-from-human-behavior-and-neuropsychiatry-1906.11286"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-stratified-sampling-1906.11289</loc><lastmod>2019-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-stratified-sampling-1906.11289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-stratified-sampling-1906.11289"/></url>
<url><loc>https://scifaro.com/en/abs/user-oriented-summaries-using-a-pso-based-scoring-optimization-method-1906.11290</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/user-oriented-summaries-using-a-pso-based-scoring-optimization-method-1906.11290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/user-oriented-summaries-using-a-pso-based-scoring-optimization-method-1906.11290"/></url>
<url><loc>https://scifaro.com/en/abs/one-size-does-not-fit-all-quantifying-and-exposing-the-accuracy-latency-trade-off-in-machine-learning-cloud-service-apis-via-tolerance-tiers-1906.11307</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-size-does-not-fit-all-quantifying-and-exposing-the-accuracy-latency-trade-off-in-machine-learning-cloud-service-apis-via-tolerance-tiers-1906.11307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-size-does-not-fit-all-quantifying-and-exposing-the-accuracy-latency-trade-off-in-machine-learning-cloud-service-apis-via-tolerance-tiers-1906.11307"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-fdi-attack-against-ac-state-estimation-with-ann-1906.11328</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-fdi-attack-against-ac-state-estimation-with-ann-1906.11328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-fdi-attack-against-ac-state-estimation-with-ann-1906.11328"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-student-stress-prediction-with-deep-multitask-network-1906.11356</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-student-stress-prediction-with-deep-multitask-network-1906.11356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-student-stress-prediction-with-deep-multitask-network-1906.11356"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-large-kernel-convolution-using-summed-area-tables-1906.11367</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-large-kernel-convolution-using-summed-area-tables-1906.11367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-large-kernel-convolution-using-summed-area-tables-1906.11367"/></url>
<url><loc>https://scifaro.com/en/abs/no-pressure-addressing-the-problem-of-local-minima-in-manifold-learning-algorithms-1906.11389</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-pressure-addressing-the-problem-of-local-minima-in-manifold-learning-algorithms-1906.11389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-pressure-addressing-the-problem-of-local-minima-in-manifold-learning-algorithms-1906.11389"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-by-the-way-of-atomic-fission-1906.11416</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-by-the-way-of-atomic-fission-1906.11416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-by-the-way-of-atomic-fission-1906.11416"/></url>
<url><loc>https://scifaro.com/en/abs/hyp-rl-hyperparameter-optimization-by-reinforcement-learning-1906.11527</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyp-rl-hyperparameter-optimization-by-reinforcement-learning-1906.11527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyp-rl-hyperparameter-optimization-by-reinforcement-learning-1906.11527"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-via-label-smoothing-1906.11567</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-via-label-smoothing-1906.11567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-via-label-smoothing-1906.11567"/></url>
<url><loc>https://scifaro.com/en/abs/curriculum-learning-for-deep-generative-models-with-clustering-1906.11594</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curriculum-learning-for-deep-generative-models-with-clustering-1906.11594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curriculum-learning-for-deep-generative-models-with-clustering-1906.11594"/></url>
<url><loc>https://scifaro.com/en/abs/mind2mind-transfer-learning-for-gans-1906.11613</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mind2mind-transfer-learning-for-gans-1906.11613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mind2mind-transfer-learning-for-gans-1906.11613"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-gans-for-anomaly-detection-1906.11632</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-gans-for-anomaly-detection-1906.11632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-gans-for-anomaly-detection-1906.11632"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-estimates-for-ordinal-embeddings-1906.11655</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-estimates-for-ordinal-embeddings-1906.11655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-estimates-for-ordinal-embeddings-1906.11655"/></url>
<url><loc>https://scifaro.com/en/abs/using-intuition-from-empirical-properties-to-simplify-adversarial-training-defense-1906.11729</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-intuition-from-empirical-properties-to-simplify-adversarial-training-defense-1906.11729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-intuition-from-empirical-properties-to-simplify-adversarial-training-defense-1906.11729"/></url>
<url><loc>https://scifaro.com/en/abs/singular-value-decomposition-and-neural-networks-1906.11755</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/singular-value-decomposition-and-neural-networks-1906.11755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/singular-value-decomposition-and-neural-networks-1906.11755"/></url>
<url><loc>https://scifaro.com/en/abs/extra-transfer-guided-exploration-1906.11785</loc><lastmod>2020-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extra-transfer-guided-exploration-1906.11785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extra-transfer-guided-exploration-1906.11785"/></url>
<url><loc>https://scifaro.com/en/abs/encoding-database-schemas-with-relation-aware-self-attention-for-text-to-sql-parsers-1906.11790</loc><lastmod>2019-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encoding-database-schemas-with-relation-aware-self-attention-for-text-to-sql-parsers-1906.11790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encoding-database-schemas-with-relation-aware-self-attention-for-text-to-sql-parsers-1906.11790"/></url>
<url><loc>https://scifaro.com/en/abs/demystifying-inter-class-disentanglement-1906.11796</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-inter-class-disentanglement-1906.11796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-inter-class-disentanglement-1906.11796"/></url>
<url><loc>https://scifaro.com/en/abs/stolen-memories-leveraging-model-memorization-for-calibrated-white-box-membership-inference-1906.11798</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stolen-memories-leveraging-model-memorization-for-calibrated-white-box-membership-inference-1906.11798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stolen-memories-leveraging-model-memorization-for-calibrated-white-box-membership-inference-1906.11798"/></url>
<url><loc>https://scifaro.com/en/abs/learning-fair-representations-for-kernel-models-1906.11813</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-fair-representations-for-kernel-models-1906.11813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-fair-representations-for-kernel-models-1906.11813"/></url>
<url><loc>https://scifaro.com/en/abs/selection-via-proxy-efficient-data-selection-for-deep-learning-1906.11829</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selection-via-proxy-efficient-data-selection-for-deep-learning-1906.11829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selection-via-proxy-efficient-data-selection-for-deep-learning-1906.11829"/></url>
<url><loc>https://scifaro.com/en/abs/from-data-quality-to-model-quality-an-exploratory-study-on-deep-learning-1906.11882</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-data-quality-to-model-quality-an-exploratory-study-on-deep-learning-1906.11882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-data-quality-to-model-quality-an-exploratory-study-on-deep-learning-1906.11882"/></url>
<url><loc>https://scifaro.com/en/abs/learning-policies-through-quantile-regression-1906.11941</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-policies-through-quantile-regression-1906.11941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-policies-through-quantile-regression-1906.11941"/></url>
<url><loc>https://scifaro.com/en/abs/supervise-thyself-examining-self-supervised-representations-in-interactive-environments-1906.11951</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervise-thyself-examining-self-supervised-representations-in-interactive-environments-1906.11951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervise-thyself-examining-self-supervised-representations-in-interactive-environments-1906.11951"/></url>
<url><loc>https://scifaro.com/en/abs/variational-shape-completion-for-virtual-planning-of-jaw-reconstructive-surgery-1906.11957</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-shape-completion-for-virtual-planning-of-jaw-reconstructive-surgery-1906.11957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-shape-completion-for-virtual-planning-of-jaw-reconstructive-surgery-1906.11957"/></url>
<url><loc>https://scifaro.com/en/abs/r-enyi-fair-inference-1906.12005</loc><lastmod>2023-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/r-enyi-fair-inference-1906.12005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/r-enyi-fair-inference-1906.12005"/></url>
<url><loc>https://scifaro.com/en/abs/faster-distributed-deep-net-training-computation-and-communication-decoupled-stochastic-gradient-descent-1906.12043</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-distributed-deep-net-training-computation-and-communication-decoupled-stochastic-gradient-descent-1906.12043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-distributed-deep-net-training-computation-and-communication-decoupled-stochastic-gradient-descent-1906.12043"/></url>
<url><loc>https://scifaro.com/en/abs/dp-lssgd-a-stochastic-optimization-method-to-lift-the-utility-in-privacy-preserving-erm-1906.12056</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dp-lssgd-a-stochastic-optimization-method-to-lift-the-utility-in-privacy-preserving-erm-1906.12056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dp-lssgd-a-stochastic-optimization-method-to-lift-the-utility-in-privacy-preserving-erm-1906.12056"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-cope-with-adversarial-attacks-1906.12061</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-cope-with-adversarial-attacks-1906.12061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-cope-with-adversarial-attacks-1906.12061"/></url>
<url><loc>https://scifaro.com/en/abs/safe-contextual-bayesian-optimization-for-sustainable-room-temperature-pid-control-tuning-1906.12086</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-contextual-bayesian-optimization-for-sustainable-room-temperature-pid-control-tuning-1906.12086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-contextual-bayesian-optimization-for-sustainable-room-temperature-pid-control-tuning-1906.12086"/></url>
<url><loc>https://scifaro.com/en/abs/armin-towards-a-more-efficient-and-light-weight-recurrent-memory-network-1906.12087</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/armin-towards-a-more-efficient-and-light-weight-recurrent-memory-network-1906.12087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/armin-towards-a-more-efficient-and-light-weight-recurrent-memory-network-1906.12087"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-neural-interaction-function-search-for-collaborative-filtering-1906.12091</loc><lastmod>2020-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-neural-interaction-function-search-for-collaborative-filtering-1906.12091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-neural-interaction-function-search-for-collaborative-filtering-1906.12091"/></url>
<url><loc>https://scifaro.com/en/abs/one-embedding-to-do-them-all-1906.12120</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-embedding-to-do-them-all-1906.12120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-embedding-to-do-them-all-1906.12120"/></url>
<url><loc>https://scifaro.com/en/abs/early-bird-catches-the-worm-predicting-returns-even-before-purchase-in-fashion-e-commerce-1906.12128</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-bird-catches-the-worm-predicting-returns-even-before-purchase-in-fashion-e-commerce-1906.12128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-bird-catches-the-worm-predicting-returns-even-before-purchase-in-fashion-e-commerce-1906.12128"/></url>
<url><loc>https://scifaro.com/en/abs/gnn-film-graph-neural-networks-with-feature-wise-linear-modulation-1906.12192</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gnn-film-graph-neural-networks-with-feature-wise-linear-modulation-1906.12192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gnn-film-graph-neural-networks-with-feature-wise-linear-modulation-1906.12192"/></url>
<url><loc>https://scifaro.com/en/abs/continual-rare-class-recognition-with-emerging-novel-subclasses-1906.12218</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-rare-class-recognition-with-emerging-novel-subclasses-1906.12218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-rare-class-recognition-with-emerging-novel-subclasses-1906.12218"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-airway-geometry-as-stock-market-data-using-bayesian-changepoint-detection-1906.12225</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-airway-geometry-as-stock-market-data-using-bayesian-changepoint-detection-1906.12225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-airway-geometry-as-stock-market-data-using-bayesian-changepoint-detection-1906.12225"/></url>
<url><loc>https://scifaro.com/en/abs/fiesta-fast-identification-of-state-of-the-art-models-using-adaptive-bandit-algorithms-1906.12230</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fiesta-fast-identification-of-state-of-the-art-models-using-adaptive-bandit-algorithms-1906.12230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fiesta-fast-identification-of-state-of-the-art-models-using-adaptive-bandit-algorithms-1906.12230"/></url>
<url><loc>https://scifaro.com/en/abs/l-based-learning-of-markov-decision-processes-extended-version-1906.12239</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l-based-learning-of-markov-decision-processes-extended-version-1906.12239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l-based-learning-of-markov-decision-processes-extended-version-1906.12239"/></url>
<url><loc>https://scifaro.com/en/abs/growing-action-spaces-1906.12266</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/growing-action-spaces-1906.12266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/growing-action-spaces-1906.12266"/></url>
<url><loc>https://scifaro.com/en/abs/certifiable-robustness-and-robust-training-for-graph-convolutional-networks-1906.12269</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certifiable-robustness-and-robust-training-for-graph-convolutional-networks-1906.12269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certifiable-robustness-and-robust-training-for-graph-convolutional-networks-1906.12269"/></url>
<url><loc>https://scifaro.com/en/abs/recursia-rrt-recursive-translatable-point-set-pattern-discovery-with-removal-of-redundant-translators-1906.12286</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursia-rrt-recursive-translatable-point-set-pattern-discovery-with-removal-of-redundant-translators-1906.12286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursia-rrt-recursive-translatable-point-set-pattern-discovery-with-removal-of-redundant-translators-1906.12286"/></url>
<url><loc>https://scifaro.com/en/abs/using-self-supervised-learning-can-improve-model-robustness-and-uncertainty-1906.12340</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-self-supervised-learning-can-improve-model-robustness-and-uncertainty-1906.12340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-self-supervised-learning-can-improve-model-robustness-and-uncertainty-1906.12340"/></url>
<url><loc>https://scifaro.com/en/abs/mlfriend-interactive-prediction-task-recommendation-for-event-driven-time-series-data-1906.12348</loc><lastmod>2019-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mlfriend-interactive-prediction-task-recommendation-for-event-driven-time-series-data-1906.12348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mlfriend-interactive-prediction-task-recommendation-for-event-driven-time-series-data-1906.12348"/></url>
<url><loc>https://scifaro.com/en/abs/split-q-learning-reinforcement-learning-with-two-stream-rewards-1906.12350</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/split-q-learning-reinforcement-learning-with-two-stream-rewards-1906.12350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/split-q-learning-reinforcement-learning-with-two-stream-rewards-1906.12350"/></url>
<url><loc>https://scifaro.com/en/abs/angular-separability-of-data-clusters-or-network-communities-in-geometrical-space-and-its-relevance-to-hyperbolic-embedding-1907.00025</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/angular-separability-of-data-clusters-or-network-communities-in-geometrical-space-and-its-relevance-to-hyperbolic-embedding-1907.00025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/angular-separability-of-data-clusters-or-network-communities-in-geometrical-space-and-its-relevance-to-hyperbolic-embedding-1907.00025"/></url>
<url><loc>https://scifaro.com/en/abs/the-thermodynamic-variational-objective-1907.00031</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-thermodynamic-variational-objective-1907.00031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-thermodynamic-variational-objective-1907.00031"/></url>
<url><loc>https://scifaro.com/en/abs/the-practical-challenges-of-active-learning-lessons-learned-from-live-experimentation-1907.00038</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-practical-challenges-of-active-learning-lessons-learned-from-live-experimentation-1907.00038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-practical-challenges-of-active-learning-lessons-learned-from-live-experimentation-1907.00038"/></url>
<url><loc>https://scifaro.com/en/abs/learning-effective-loss-functions-efficiently-1907.00103</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-effective-loss-functions-efficiently-1907.00103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-effective-loss-functions-efficiently-1907.00103"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-sequential-experiments-with-unknown-information-arrival-processes-1907.00107</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-sequential-experiments-with-unknown-information-arrival-processes-1907.00107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-sequential-experiments-with-unknown-information-arrival-processes-1907.00107"/></url>
<url><loc>https://scifaro.com/en/abs/setgan-improving-the-stability-and-diversity-of-generative-models-through-a-permutation-invariant-architecture-1907.00109</loc><lastmod>2022-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/setgan-improving-the-stability-and-diversity-of-generative-models-through-a-permutation-invariant-architecture-1907.00109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/setgan-improving-the-stability-and-diversity-of-generative-models-through-a-permutation-invariant-architecture-1907.00109"/></url>
<url><loc>https://scifaro.com/en/abs/fast-convolutive-nonnegative-matrix-factorization-through-coordinate-and-block-coordinate-updates-1907.00139</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-convolutive-nonnegative-matrix-factorization-through-coordinate-and-block-coordinate-updates-1907.00139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-convolutive-nonnegative-matrix-factorization-through-coordinate-and-block-coordinate-updates-1907.00139"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-inference-in-structured-instances-with-noisy-categorical-observations-1907.00141</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-inference-in-structured-instances-with-noisy-categorical-observations-1907.00141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-inference-in-structured-instances-with-noisy-categorical-observations-1907.00141"/></url>
<url><loc>https://scifaro.com/en/abs/progressive-fashion-attribute-extraction-1907.00157</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progressive-fashion-attribute-extraction-1907.00157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progressive-fashion-attribute-extraction-1907.00157"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-privacy-risks-of-model-explanations-1907.00164</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-privacy-risks-of-model-explanations-1907.00164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-privacy-risks-of-model-explanations-1907.00164"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-for-robotics-definition-framework-learning-strategies-opportunities-and-challenges-1907.00182</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-for-robotics-definition-framework-learning-strategies-opportunities-and-challenges-1907.00182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-for-robotics-definition-framework-learning-strategies-opportunities-and-challenges-1907.00182"/></url>
<url><loc>https://scifaro.com/en/abs/the-ramanujan-machine-automatically-generated-conjectures-on-fundamental-constants-1907.00205</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-ramanujan-machine-automatically-generated-conjectures-on-fundamental-constants-1907.00205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-ramanujan-machine-automatically-generated-conjectures-on-fundamental-constants-1907.00205"/></url>
<url><loc>https://scifaro.com/en/abs/deep-gamblers-learning-to-abstain-with-portfolio-theory-1907.00208</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-gamblers-learning-to-abstain-with-portfolio-theory-1907.00208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-gamblers-learning-to-abstain-with-portfolio-theory-1907.00208"/></url>
<url><loc>https://scifaro.com/en/abs/robust-linear-discriminant-analysis-using-ratio-minimization-of-l1-2-norms-1907.00211</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-linear-discriminant-analysis-using-ratio-minimization-of-l1-2-norms-1907.00211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-linear-discriminant-analysis-using-ratio-minimization-of-l1-2-norms-1907.00211"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-under-interference-and-network-uncertainty-1907.00221</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-under-interference-and-network-uncertainty-1907.00221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-under-interference-and-network-uncertainty-1907.00221"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-the-locality-and-breaking-the-memory-bottleneck-of-transformer-on-time-series-forecasting-1907.00235</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-the-locality-and-breaking-the-memory-bottleneck-of-transformer-on-time-series-forecasting-1907.00235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-the-locality-and-breaking-the-memory-bottleneck-of-transformer-on-time-series-forecasting-1907.00235"/></url>
<url><loc>https://scifaro.com/en/abs/dissecting-pruned-neural-networks-1907.00262</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dissecting-pruned-neural-networks-1907.00262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dissecting-pruned-neural-networks-1907.00262"/></url>
<url><loc>https://scifaro.com/en/abs/an-aggregate-learning-approach-for-interpretable-semi-supervised-population-prediction-and-disaggregation-using-ancillary-data-1907.00270</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-aggregate-learning-approach-for-interpretable-semi-supervised-population-prediction-and-disaggregation-using-ancillary-data-1907.00270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-aggregate-learning-approach-for-interpretable-semi-supervised-population-prediction-and-disaggregation-using-ancillary-data-1907.00270"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-regularized-piecewise-linear-regression-trees-1907.00275</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-regularized-piecewise-linear-regression-trees-1907.00275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-regularized-piecewise-linear-regression-trees-1907.00275"/></url>
<url><loc>https://scifaro.com/en/abs/mechanisms-of-artistic-creativity-in-deep-learning-neural-networks-1907.00321</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mechanisms-of-artistic-creativity-in-deep-learning-neural-networks-1907.00321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mechanisms-of-artistic-creativity-in-deep-learning-neural-networks-1907.00321"/></url>
<url><loc>https://scifaro.com/en/abs/random-forests-for-adaptive-nearest-neighbor-estimation-of-information-theoretic-quantities-1907.00325</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-forests-for-adaptive-nearest-neighbor-estimation-of-information-theoretic-quantities-1907.00325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-forests-for-adaptive-nearest-neighbor-estimation-of-information-theoretic-quantities-1907.00325"/></url>
<url><loc>https://scifaro.com/en/abs/nearest-neighbour-induced-isolation-similarity-and-its-impact-on-density-based-clustering-1907.00378</loc><lastmod>2024-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearest-neighbour-induced-isolation-similarity-and-its-impact-on-density-based-clustering-1907.00378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearest-neighbour-induced-isolation-similarity-and-its-impact-on-density-based-clustering-1907.00378"/></url>
<url><loc>https://scifaro.com/en/abs/variational-quantum-circuits-for-deep-reinforcement-learning-1907.00397</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-quantum-circuits-for-deep-reinforcement-learning-1907.00397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-quantum-circuits-for-deep-reinforcement-learning-1907.00397"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-product-categorization-using-multi-modal-fusion-models-1907.00420</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-product-categorization-using-multi-modal-fusion-models-1907.00420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-product-categorization-using-multi-modal-fusion-models-1907.00420"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-spiky-corruption-in-markov-decision-processes-1907.00452</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-spiky-corruption-in-markov-decision-processes-1907.00452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-spiky-corruption-in-markov-decision-processes-1907.00452"/></url>
<url><loc>https://scifaro.com/en/abs/multiplicative-models-for-recurrent-language-modeling-1907.00455</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiplicative-models-for-recurrent-language-modeling-1907.00455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiplicative-models-for-recurrent-language-modeling-1907.00455"/></url>
<url><loc>https://scifaro.com/en/abs/way-off-policy-batch-deep-reinforcement-learning-of-implicit-human-preferences-in-dialog-1907.00456</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/way-off-policy-batch-deep-reinforcement-learning-of-implicit-human-preferences-in-dialog-1907.00456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/way-off-policy-batch-deep-reinforcement-learning-of-implicit-human-preferences-in-dialog-1907.00456"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-clustering-with-graph-neural-networks-for-graph-pooling-1907.00481</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-clustering-with-graph-neural-networks-for-graph-pooling-1907.00481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-clustering-with-graph-neural-networks-for-graph-pooling-1907.00481"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-resource-efficient-identification-of-two-hidden-layer-neural-networks-1907.00485</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-resource-efficient-identification-of-two-hidden-layer-neural-networks-1907.00485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-resource-efficient-identification-of-two-hidden-layer-neural-networks-1907.00485"/></url>
<url><loc>https://scifaro.com/en/abs/improving-lstm-neural-networks-for-better-short-term-wind-power-predictions-1907.00489</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-lstm-neural-networks-for-better-short-term-wind-power-predictions-1907.00489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-lstm-neural-networks-for-better-short-term-wind-power-predictions-1907.00489"/></url>
<url><loc>https://scifaro.com/en/abs/deep-residual-neural-networks-for-audio-spoofing-detection-1907.00501</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-residual-neural-networks-for-audio-spoofing-detection-1907.00501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-residual-neural-networks-for-audio-spoofing-detection-1907.00501"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-tabular-data-using-conditional-gan-1907.00503</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-tabular-data-using-conditional-gan-1907.00503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-tabular-data-using-conditional-gan-1907.00503"/></url>
<url><loc>https://scifaro.com/en/abs/fidi-rl-incorporating-deep-reinforcement-learning-with-finite-difference-policy-search-for-efficient-learning-of-continuous-control-1907.00526</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fidi-rl-incorporating-deep-reinforcement-learning-with-finite-difference-policy-search-for-efficient-learning-of-continuous-control-1907.00526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fidi-rl-incorporating-deep-reinforcement-learning-with-finite-difference-policy-search-for-efficient-learning-of-continuous-control-1907.00526"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-link-1907.00533</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-link-1907.00533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-link-1907.00533"/></url>
<url><loc>https://scifaro.com/en/abs/cosine-similarity-based-adversarial-process-1907.00542</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cosine-similarity-based-adversarial-process-1907.00542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cosine-similarity-based-adversarial-process-1907.00542"/></url>
<url><loc>https://scifaro.com/en/abs/on-symmetry-and-initialization-for-neural-networks-1907.00560</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-symmetry-and-initialization-for-neural-networks-1907.00560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-symmetry-and-initialization-for-neural-networks-1907.00560"/></url>
<url><loc>https://scifaro.com/en/abs/weight-normalization-based-quantization-for-deep-neural-network-compression-1907.00593</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weight-normalization-based-quantization-for-deep-neural-network-compression-1907.00593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weight-normalization-based-quantization-for-deep-neural-network-compression-1907.00593"/></url>
<url><loc>https://scifaro.com/en/abs/using-deep-learning-to-predict-plant-growth-and-yield-in-greenhouse-environments-1907.00624</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-deep-learning-to-predict-plant-growth-and-yield-in-greenhouse-environments-1907.00624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-deep-learning-to-predict-plant-growth-and-yield-in-greenhouse-environments-1907.00624"/></url>
<url><loc>https://scifaro.com/en/abs/neural-dynamics-discovery-via-gaussian-process-recurrent-neural-networks-1907.00650</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-dynamics-discovery-via-gaussian-process-recurrent-neural-networks-1907.00650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-dynamics-discovery-via-gaussian-process-recurrent-neural-networks-1907.00650"/></url>
<url><loc>https://scifaro.com/en/abs/avoiding-implementation-pitfalls-of-matrix-capsules-with-em-routing-by-hinton-et-al-1907.00652</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avoiding-implementation-pitfalls-of-matrix-capsules-with-em-routing-by-hinton-et-al-1907.00652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avoiding-implementation-pitfalls-of-matrix-capsules-with-em-routing-by-hinton-et-al-1907.00652"/></url>
<url><loc>https://scifaro.com/en/abs/learning-world-graphs-to-accelerate-hierarchical-reinforcement-learning-1907.00664</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-world-graphs-to-accelerate-hierarchical-reinforcement-learning-1907.00664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-world-graphs-to-accelerate-hierarchical-reinforcement-learning-1907.00664"/></url>
<url><loc>https://scifaro.com/en/abs/two-stage-optimization-for-machine-learning-workflow-1907.00678</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-stage-optimization-for-machine-learning-workflow-1907.00678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-stage-optimization-for-machine-learning-workflow-1907.00678"/></url>
<url><loc>https://scifaro.com/en/abs/the-spectacl-of-nonconvex-clustering-a-spectral-approach-to-density-based-clustering-1907.00680</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-spectacl-of-nonconvex-clustering-a-spectral-approach-to-density-based-clustering-1907.00680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-spectacl-of-nonconvex-clustering-a-spectral-approach-to-density-based-clustering-1907.00680"/></url>
<url><loc>https://scifaro.com/en/abs/the-trustworthy-pal-controlling-the-false-discovery-rate-in-boolean-matrix-factorization-1907.00697</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-trustworthy-pal-controlling-the-false-discovery-rate-in-boolean-matrix-factorization-1907.00697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-trustworthy-pal-controlling-the-false-discovery-rate-in-boolean-matrix-factorization-1907.00697"/></url>
<url><loc>https://scifaro.com/en/abs/an-improvement-of-paa-on-trend-based-approximation-for-time-series-1907.00700</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improvement-of-paa-on-trend-based-approximation-for-time-series-1907.00700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improvement-of-paa-on-trend-based-approximation-for-time-series-1907.00700"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-subsequence-detection-with-dynamic-local-density-for-time-series-1907.00701</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-subsequence-detection-with-dynamic-local-density-for-time-series-1907.00701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-subsequence-detection-with-dynamic-local-density-for-time-series-1907.00701"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multi-task-learning-for-anomalous-driving-detection-using-can-bus-scalar-sensor-data-1907.00749</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multi-task-learning-for-anomalous-driving-detection-using-can-bus-scalar-sensor-data-1907.00749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multi-task-learning-for-anomalous-driving-detection-using-can-bus-scalar-sensor-data-1907.00749"/></url>
<url><loc>https://scifaro.com/en/abs/open-problem-the-oracle-complexity-of-convex-optimization-with-limited-memory-1907.00762</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-problem-the-oracle-complexity-of-convex-optimization-with-limited-memory-1907.00762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-problem-the-oracle-complexity-of-convex-optimization-with-limited-memory-1907.00762"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-relevance-for-online-decision-making-in-high-dimensions-1907.00783</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-relevance-for-online-decision-making-in-high-dimensions-1907.00783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-relevance-for-online-decision-making-in-high-dimensions-1907.00783"/></url>
<url><loc>https://scifaro.com/en/abs/location-anomalies-detection-for-connected-and-autonomous-vehicles-1907.00811</loc><lastmod>2022-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/location-anomalies-detection-for-connected-and-autonomous-vehicles-1907.00811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/location-anomalies-detection-for-connected-and-autonomous-vehicles-1907.00811"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-separations-in-local-differential-privacy-1907.00813</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-separations-in-local-differential-privacy-1907.00813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-separations-in-local-differential-privacy-1907.00813"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-memory-modules-on-learning-simple-algorithms-1907.00820</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-memory-modules-on-learning-simple-algorithms-1907.00820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-memory-modules-on-learning-simple-algorithms-1907.00820"/></url>
<url><loc>https://scifaro.com/en/abs/equation-discovery-for-nonlinear-system-identification-1907.00821</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equation-discovery-for-nonlinear-system-identification-1907.00821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equation-discovery-for-nonlinear-system-identification-1907.00821"/></url>
<url><loc>https://scifaro.com/en/abs/ipool-information-based-pooling-in-hierarchical-graph-neural-networks-1907.00832</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ipool-information-based-pooling-in-hierarchical-graph-neural-networks-1907.00832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ipool-information-based-pooling-in-hierarchical-graph-neural-networks-1907.00832"/></url>
<url><loc>https://scifaro.com/en/abs/mulex-disentangling-exploitation-from-exploration-in-deep-rl-1907.00868</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mulex-disentangling-exploitation-from-exploration-in-deep-rl-1907.00868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mulex-disentangling-exploitation-from-exploration-in-deep-rl-1907.00868"/></url>
<url><loc>https://scifaro.com/en/abs/neural-logic-rule-layers-1907.00878</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-logic-rule-layers-1907.00878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-logic-rule-layers-1907.00878"/></url>
<url><loc>https://scifaro.com/en/abs/on-mechanisms-for-transfer-using-landmark-value-functions-in-multi-task-lifelong-reinforcement-learning-1907.00884</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-mechanisms-for-transfer-using-landmark-value-functions-in-multi-task-lifelong-reinforcement-learning-1907.00884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-mechanisms-for-transfer-using-landmark-value-functions-in-multi-task-lifelong-reinforcement-learning-1907.00884"/></url>
<url><loc>https://scifaro.com/en/abs/comment-on-adv-bnn-improved-adversarial-defense-through-robust-bayesian-neural-network-1907.00895</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comment-on-adv-bnn-improved-adversarial-defense-through-robust-bayesian-neural-network-1907.00895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comment-on-adv-bnn-improved-adversarial-defense-through-robust-bayesian-neural-network-1907.00895"/></url>
<url><loc>https://scifaro.com/en/abs/an-open-source-automl-benchmark-1907.00909</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-open-source-automl-benchmark-1907.00909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-open-source-automl-benchmark-1907.00909"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-within-constrained-environments-through-imitation-of-an-expert-questioner-1907.00921</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-within-constrained-environments-through-imitation-of-an-expert-questioner-1907.00921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-within-constrained-environments-through-imitation-of-an-expert-questioner-1907.00921"/></url>
<url><loc>https://scifaro.com/en/abs/mise-en-abyme-with-artificial-intelligence-how-to-predict-the-accuracy-of-nn-applied-to-hyper-parameter-tuning-1907.00924</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mise-en-abyme-with-artificial-intelligence-how-to-predict-the-accuracy-of-nn-applied-to-hyper-parameter-tuning-1907.00924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mise-en-abyme-with-artificial-intelligence-how-to-predict-the-accuracy-of-nn-applied-to-hyper-parameter-tuning-1907.00924"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-identifying-group-behavior-of-wild-animals-1907.00932</loc><lastmod>2019-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-identifying-group-behavior-of-wild-animals-1907.00932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-identifying-group-behavior-of-wild-animals-1907.00932"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-latent-actor-critic-deep-reinforcement-learning-with-a-latent-variable-model-1907.00953</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-latent-actor-critic-deep-reinforcement-learning-with-a-latent-variable-model-1907.00953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-latent-actor-critic-deep-reinforcement-learning-with-a-latent-variable-model-1907.00953"/></url>
<url><loc>https://scifaro.com/en/abs/single-path-mobile-automl-efficient-convnet-design-and-nas-hyperparameter-optimization-1907.00959</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-path-mobile-automl-efficient-convnet-design-and-nas-hyperparameter-optimization-1907.00959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-path-mobile-automl-efficient-convnet-design-and-nas-hyperparameter-optimization-1907.00959"/></url>
<url><loc>https://scifaro.com/en/abs/universal-audio-synthesizer-control-with-normalizing-flows-1907.00971</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-audio-synthesizer-control-with-normalizing-flows-1907.00971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-audio-synthesizer-control-with-normalizing-flows-1907.00971"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-from-imperfect-time-series-data-via-tensor-rank-regularization-1907.01011</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-from-imperfect-time-series-data-via-tensor-rank-regularization-1907.01011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-from-imperfect-time-series-data-via-tensor-rank-regularization-1907.01011"/></url>
<url><loc>https://scifaro.com/en/abs/rare-disease-detection-by-sequence-modeling-with-generative-adversarial-networks-1907.01022</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rare-disease-detection-by-sequence-modeling-with-generative-adversarial-networks-1907.01022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rare-disease-detection-by-sequence-modeling-with-generative-adversarial-networks-1907.01022"/></url>
<url><loc>https://scifaro.com/en/abs/the-sensitivity-of-counterfactual-fairness-to-unmeasured-confounding-1907.01040</loc><lastmod>2019-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-sensitivity-of-counterfactual-fairness-to-unmeasured-confounding-1907.01040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-sensitivity-of-counterfactual-fairness-to-unmeasured-confounding-1907.01040"/></url>
<url><loc>https://scifaro.com/en/abs/ml-based-fault-injection-for-autonomous-vehicles-a-case-for-bayesian-fault-injection-1907.01051</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ml-based-fault-injection-for-autonomous-vehicles-a-case-for-bayesian-fault-injection-1907.01051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ml-based-fault-injection-for-autonomous-vehicles-a-case-for-bayesian-fault-injection-1907.01051"/></url>
<url><loc>https://scifaro.com/en/abs/a-semi-supervised-self-organizing-map-for-clustering-and-classification-1907.01070</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-semi-supervised-self-organizing-map-for-clustering-and-classification-1907.01070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-semi-supervised-self-organizing-map-for-clustering-and-classification-1907.01070"/></url>
<url><loc>https://scifaro.com/en/abs/a-semi-supervised-self-organizing-map-with-adaptive-local-thresholds-1907.01086</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-semi-supervised-self-organizing-map-with-adaptive-local-thresholds-1907.01086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-semi-supervised-self-organizing-map-with-adaptive-local-thresholds-1907.01086"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-treatment-initiation-from-clinical-time-series-data-via-graph-augmented-time-sensitive-model-1907.01099</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-treatment-initiation-from-clinical-time-series-data-via-graph-augmented-time-sensitive-model-1907.01099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-treatment-initiation-from-clinical-time-series-data-via-graph-augmented-time-sensitive-model-1907.01099"/></url>
<url><loc>https://scifaro.com/en/abs/isolation-kernel-the-x-factor-in-efficient-and-effective-large-scale-online-kernel-learning-1907.01104</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/isolation-kernel-the-x-factor-in-efficient-and-effective-large-scale-online-kernel-learning-1907.01104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/isolation-kernel-the-x-factor-in-efficient-and-effective-large-scale-online-kernel-learning-1907.01104"/></url>
<url><loc>https://scifaro.com/en/abs/robust-tensor-completion-using-transformed-tensor-svd-1907.01113</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-tensor-completion-using-transformed-tensor-svd-1907.01113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-tensor-completion-using-transformed-tensor-svd-1907.01113"/></url>
<url><loc>https://scifaro.com/en/abs/an-iteratively-re-weighted-method-for-problems-with-sparsity-inducing-norms-1907.01121</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-iteratively-re-weighted-method-for-problems-with-sparsity-inducing-norms-1907.01121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-iteratively-re-weighted-method-for-problems-with-sparsity-inducing-norms-1907.01121"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rates-of-smooth-message-passing-with-rounding-in-entropy-regularized-map-inference-1907.01127</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rates-of-smooth-message-passing-with-rounding-in-entropy-regularized-map-inference-1907.01127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rates-of-smooth-message-passing-with-rounding-in-entropy-regularized-map-inference-1907.01127"/></url>
<url><loc>https://scifaro.com/en/abs/astraea-self-balancing-federated-learning-for-improving-classification-accuracy-of-mobile-deep-learning-applications-1907.01132</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/astraea-self-balancing-federated-learning-for-improving-classification-accuracy-of-mobile-deep-learning-applications-1907.01132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/astraea-self-balancing-federated-learning-for-improving-classification-accuracy-of-mobile-deep-learning-applications-1907.01132"/></url>
<url><loc>https://scifaro.com/en/abs/sample-adaptive-multiple-kernel-learning-for-failure-prediction-of-railway-points-1907.01162</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-adaptive-multiple-kernel-learning-for-failure-prediction-of-railway-points-1907.01162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-adaptive-multiple-kernel-learning-for-failure-prediction-of-railway-points-1907.01162"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-traverse-latent-spaces-for-musical-score-inpainting-1907.01164</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-traverse-latent-spaces-for-musical-score-inpainting-1907.01164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-traverse-latent-spaces-for-musical-score-inpainting-1907.01164"/></url>
<url><loc>https://scifaro.com/en/abs/conservative-q-improvement-reinforcement-learning-for-an-interpretable-decision-tree-policy-1907.01180</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conservative-q-improvement-reinforcement-learning-for-an-interpretable-decision-tree-policy-1907.01180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conservative-q-improvement-reinforcement-learning-for-an-interpretable-decision-tree-policy-1907.01180"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-mixture-marginal-distributions-for-modelling-remaining-pipe-wall-thickness-of-critical-water-mains-in-non-destructive-evaluation-1907.01184</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-mixture-marginal-distributions-for-modelling-remaining-pipe-wall-thickness-of-critical-water-mains-in-non-destructive-evaluation-1907.01184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-mixture-marginal-distributions-for-modelling-remaining-pipe-wall-thickness-of-critical-water-mains-in-non-destructive-evaluation-1907.01184"/></url>
<url><loc>https://scifaro.com/en/abs/treant-training-evasion-aware-decision-trees-1907.01197</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/treant-training-evasion-aware-decision-trees-1907.01197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/treant-training-evasion-aware-decision-trees-1907.01197"/></url>
<url><loc>https://scifaro.com/en/abs/frodo-free-rejection-of-out-of-distribution-samples-application-to-chest-x-ray-analysis-1907.01253</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frodo-free-rejection-of-out-of-distribution-samples-application-to-chest-x-ray-analysis-1907.01253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frodo-free-rejection-of-out-of-distribution-samples-application-to-chest-x-ray-analysis-1907.01253"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-arrow-of-time-1907.01285</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-arrow-of-time-1907.01285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-arrow-of-time-1907.01285"/></url>
<url><loc>https://scifaro.com/en/abs/exploration-through-reward-biasing-reward-biased-maximum-likelihood-estimation-for-stochastic-multi-armed-bandits-1907.01287</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploration-through-reward-biasing-reward-biased-maximum-likelihood-estimation-for-stochastic-multi-armed-bandits-1907.01287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploration-through-reward-biasing-reward-biased-maximum-likelihood-estimation-for-stochastic-multi-armed-bandits-1907.01287"/></url>
<url><loc>https://scifaro.com/en/abs/modified-actor-critics-1907.01298</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modified-actor-critics-1907.01298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modified-actor-critics-1907.01298"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-variable-bayesian-optimization-1907.01329</loc><lastmod>2020-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-variable-bayesian-optimization-1907.01329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-variable-bayesian-optimization-1907.01329"/></url>
<url><loc>https://scifaro.com/en/abs/applying-transfer-learning-to-deep-learned-models-for-eeg-analysis-1907.01332</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-transfer-learning-to-deep-learned-models-for-eeg-analysis-1907.01332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-transfer-learning-to-deep-learned-models-for-eeg-analysis-1907.01332"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-subspace-override-for-unsupervised-domain-adaptation-1907.01343</loc><lastmod>2020-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-subspace-override-for-unsupervised-domain-adaptation-1907.01343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-subspace-override-for-unsupervised-domain-adaptation-1907.01343"/></url>
<url><loc>https://scifaro.com/en/abs/voting-based-multi-agent-reinforcement-learning-for-intelligent-iot-1907.01385</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/voting-based-multi-agent-reinforcement-learning-for-intelligent-iot-1907.01385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/voting-based-multi-agent-reinforcement-learning-for-intelligent-iot-1907.01385"/></url>
<url><loc>https://scifaro.com/en/abs/tight-sensitivity-bounds-for-smaller-coresets-1907.01433</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-sensitivity-bounds-for-smaller-coresets-1907.01433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-sensitivity-bounds-for-smaller-coresets-1907.01433"/></url>
<url><loc>https://scifaro.com/en/abs/operationalizing-individual-fairness-with-pairwise-fair-representations-1907.01439</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/operationalizing-individual-fairness-with-pairwise-fair-representations-1907.01439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/operationalizing-individual-fairness-with-pairwise-fair-representations-1907.01439"/></url>
<url><loc>https://scifaro.com/en/abs/reproducibility-in-machine-learning-for-health-1907.01463</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reproducibility-in-machine-learning-for-health-1907.01463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reproducibility-in-machine-learning-for-health-1907.01463"/></url>
<url><loc>https://scifaro.com/en/abs/augmenting-self-attention-with-persistent-memory-1907.01470</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmenting-self-attention-with-persistent-memory-1907.01470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmenting-self-attention-with-persistent-memory-1907.01470"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-from-a-few-environments-in-safety-critical-reinforcement-learning-1907.01475</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-from-a-few-environments-in-safety-critical-reinforcement-learning-1907.01475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-from-a-few-environments-in-safety-critical-reinforcement-learning-1907.01475"/></url>
<url><loc>https://scifaro.com/en/abs/an-innovative-adaptive-kriging-approach-for-efficient-binary-classification-of-mechanical-problems-1907.01490</loc><lastmod>2019-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-innovative-adaptive-kriging-approach-for-efficient-binary-classification-of-mechanical-problems-1907.01490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-innovative-adaptive-kriging-approach-for-efficient-binary-classification-of-mechanical-problems-1907.01490"/></url>
<url><loc>https://scifaro.com/en/abs/best-k-layer-neural-network-approximations-1907.01507</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-k-layer-neural-network-approximations-1907.01507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-k-layer-neural-network-approximations-1907.01507"/></url>
<url><loc>https://scifaro.com/en/abs/e-sports-talent-scouting-based-on-multimodal-twitch-stream-data-1907.01615</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/e-sports-talent-scouting-based-on-multimodal-twitch-stream-data-1907.01615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/e-sports-talent-scouting-based-on-multimodal-twitch-stream-data-1907.01615"/></url>
<url><loc>https://scifaro.com/en/abs/generative-models-for-automatic-chemical-design-1907.01632</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-models-for-automatic-chemical-design-1907.01632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-models-for-automatic-chemical-design-1907.01632"/></url>
<url><loc>https://scifaro.com/en/abs/mimosanet-an-unrobust-neural-network-preventing-model-stealing-1907.01650</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mimosanet-an-unrobust-neural-network-preventing-model-stealing-1907.01650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mimosanet-an-unrobust-neural-network-preventing-model-stealing-1907.01650"/></url>
<url><loc>https://scifaro.com/en/abs/adjustment-criteria-for-recovering-causal-effects-from-missing-data-1907.01654</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adjustment-criteria-for-recovering-causal-effects-from-missing-data-1907.01654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adjustment-criteria-for-recovering-causal-effects-from-missing-data-1907.01654"/></url>
<url><loc>https://scifaro.com/en/abs/dynamics-aware-unsupervised-discovery-of-skills-1907.01657</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamics-aware-unsupervised-discovery-of-skills-1907.01657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamics-aware-unsupervised-discovery-of-skills-1907.01657"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-network-for-interpreting-task-fmri-biomarkers-1907.01661</loc><lastmod>2019-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-network-for-interpreting-task-fmri-biomarkers-1907.01661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-network-for-interpreting-task-fmri-biomarkers-1907.01661"/></url>
<url><loc>https://scifaro.com/en/abs/from-node-embedding-to-community-embedding-a-hyperbolic-approach-1907.01662</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-node-embedding-to-community-embedding-a-hyperbolic-approach-1907.01662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-node-embedding-to-community-embedding-a-hyperbolic-approach-1907.01662"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-based-prediction-of-hierarchical-classification-of-transposable-elements-1907.01674</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-based-prediction-of-hierarchical-classification-of-transposable-elements-1907.01674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-based-prediction-of-hierarchical-classification-of-transposable-elements-1907.01674"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-memory-in-stochastic-optimization-1907.01678</loc><lastmod>2020-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-memory-in-stochastic-optimization-1907.01678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-memory-in-stochastic-optimization-1907.01678"/></url>
<url><loc>https://scifaro.com/en/abs/canonical-correlation-analysis-cca-based-multi-view-learning-an-overview-1907.01693</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/canonical-correlation-analysis-cca-based-multi-view-learning-an-overview-1907.01693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/canonical-correlation-analysis-cca-based-multi-view-learning-an-overview-1907.01693"/></url>
<url><loc>https://scifaro.com/en/abs/hypernomad-hyperparameter-optimization-of-deep-neural-networks-using-mesh-adaptive-direct-search-1907.01698</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypernomad-hyperparameter-optimization-of-deep-neural-networks-using-mesh-adaptive-direct-search-1907.01698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypernomad-hyperparameter-optimization-of-deep-neural-networks-using-mesh-adaptive-direct-search-1907.01698"/></url>
<url><loc>https://scifaro.com/en/abs/velc-a-new-variational-autoencoder-based-model-for-time-series-anomaly-detection-1907.01702</loc><lastmod>2020-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/velc-a-new-variational-autoencoder-based-model-for-time-series-anomaly-detection-1907.01702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/velc-a-new-variational-autoencoder-based-model-for-time-series-anomaly-detection-1907.01702"/></url>
<url><loc>https://scifaro.com/en/abs/don-t-take-it-lightly-phasing-optical-random-projections-with-unknown-operators-1907.01703</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/don-t-take-it-lightly-phasing-optical-random-projections-with-unknown-operators-1907.01703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/don-t-take-it-lightly-phasing-optical-random-projections-with-unknown-operators-1907.01703"/></url>
<url><loc>https://scifaro.com/en/abs/graph-embeddings-at-scale-1907.01705</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-embeddings-at-scale-1907.01705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-embeddings-at-scale-1907.01705"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-structure-learning-for-sequential-video-data-1907.01709</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-structure-learning-for-sequential-video-data-1907.01709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-structure-learning-for-sequential-video-data-1907.01709"/></url>
<url><loc>https://scifaro.com/en/abs/quickly-finding-the-best-linear-model-in-high-dimensions-1907.01728</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quickly-finding-the-best-linear-model-in-high-dimensions-1907.01728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quickly-finding-the-best-linear-model-in-high-dimensions-1907.01728"/></url>
<url><loc>https://scifaro.com/en/abs/ami-net-a-novel-multi-instance-neural-network-for-medical-diagnosis-from-incomplete-and-imbalanced-data-1907.01734</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ami-net-a-novel-multi-instance-neural-network-for-medical-diagnosis-from-incomplete-and-imbalanced-data-1907.01734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ami-net-a-novel-multi-instance-neural-network-for-medical-diagnosis-from-incomplete-and-imbalanced-data-1907.01734"/></url>
<url><loc>https://scifaro.com/en/abs/solving-partial-assignment-problems-using-random-clique-complexes-1907.01739</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-partial-assignment-problems-using-random-clique-complexes-1907.01739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-partial-assignment-problems-using-random-clique-complexes-1907.01739"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-generative-neural-networks-on-unmodified-deep-learning-processors-a-software-approach-1907.01773</loc><lastmod>2020-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-generative-neural-networks-on-unmodified-deep-learning-processors-a-software-approach-1907.01773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-generative-neural-networks-on-unmodified-deep-learning-processors-a-software-approach-1907.01773"/></url>
<url><loc>https://scifaro.com/en/abs/the-receptive-field-as-a-regularizer-in-deep-convolutional-neural-networks-for-acoustic-scene-classification-1907.01803</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-receptive-field-as-a-regularizer-in-deep-convolutional-neural-networks-for-acoustic-scene-classification-1907.01803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-receptive-field-as-a-regularizer-in-deep-convolutional-neural-networks-for-acoustic-scene-classification-1907.01803"/></url>
<url><loc>https://scifaro.com/en/abs/fairnas-rethinking-evaluation-fairness-of-weight-sharing-neural-architecture-search-1907.01845</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairnas-rethinking-evaluation-fairness-of-weight-sharing-neural-architecture-search-1907.01845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairnas-rethinking-evaluation-fairness-of-weight-sharing-neural-architecture-search-1907.01845"/></url>
<url><loc>https://scifaro.com/en/abs/encoding-high-cardinality-string-categorical-variables-1907.01860</loc><lastmod>2020-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encoding-high-cardinality-string-categorical-variables-1907.01860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encoding-high-cardinality-string-categorical-variables-1907.01860"/></url>
<url><loc>https://scifaro.com/en/abs/an-experimental-evaluation-of-large-scale-gbdt-systems-1907.01882</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-experimental-evaluation-of-large-scale-gbdt-systems-1907.01882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-experimental-evaluation-of-large-scale-gbdt-systems-1907.01882"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-hierarchical-model-for-criminal-investigations-1907.01894</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-hierarchical-model-for-criminal-investigations-1907.01894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-hierarchical-model-for-criminal-investigations-1907.01894"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-continual-learning-for-autonomous-agents-and-robots-1907.01929</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-continual-learning-for-autonomous-agents-and-robots-1907.01929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-continual-learning-for-autonomous-agents-and-robots-1907.01929"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-uncertainty-quantification-for-segmentation-with-multiple-annotations-1907.01949</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-uncertainty-quantification-for-segmentation-with-multiple-annotations-1907.01949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-uncertainty-quantification-for-segmentation-with-multiple-annotations-1907.01949"/></url>
<url><loc>https://scifaro.com/en/abs/an-enhanced-ad-event-prediction-method-based-on-feature-engineering-1907.01959</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-enhanced-ad-event-prediction-method-based-on-feature-engineering-1907.01959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-enhanced-ad-event-prediction-method-based-on-feature-engineering-1907.01959"/></url>
<url><loc>https://scifaro.com/en/abs/on-device-neural-net-inference-with-mobile-gpus-1907.01989</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-device-neural-net-inference-with-mobile-gpus-1907.01989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-device-neural-net-inference-with-mobile-gpus-1907.01989"/></url>
<url><loc>https://scifaro.com/en/abs/circuit-based-intrinsic-methods-to-detect-overfitting-1907.01991</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/circuit-based-intrinsic-methods-to-detect-overfitting-1907.01991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/circuit-based-intrinsic-methods-to-detect-overfitting-1907.01991"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-known-operators-reduces-maximum-training-error-bounds-1907.01992</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-known-operators-reduces-maximum-training-error-bounds-1907.01992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-known-operators-reduces-maximum-training-error-bounds-1907.01992"/></url>
<url><loc>https://scifaro.com/en/abs/libconform-v0-1-0-a-python-library-for-conformal-prediction-1907.02015</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/libconform-v0-1-0-a-python-library-for-conformal-prediction-1907.02015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/libconform-v0-1-0-a-python-library-for-conformal-prediction-1907.02015"/></url>
<url><loc>https://scifaro.com/en/abs/minimally-distorted-adversarial-examples-with-a-fast-adaptive-boundary-attack-1907.02044</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimally-distorted-adversarial-examples-with-a-fast-adaptive-boundary-attack-1907.02044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimally-distorted-adversarial-examples-with-a-fast-adaptive-boundary-attack-1907.02044"/></url>
<url><loc>https://scifaro.com/en/abs/spatially-coupled-neural-network-architectures-1907.02051</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatially-coupled-neural-network-architectures-1907.02051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatially-coupled-neural-network-architectures-1907.02051"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-model-based-reinforcement-learning-1907.02057</loc><lastmod>2019-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-model-based-reinforcement-learning-1907.02057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-model-based-reinforcement-learning-1907.02057"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-expected-hitting-cost-of-a-markov-decision-process-and-informativeness-of-rewards-1907.02114</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-expected-hitting-cost-of-a-markov-decision-process-and-informativeness-of-rewards-1907.02114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-expected-hitting-cost-of-a-markov-decision-process-and-informativeness-of-rewards-1907.02114"/></url>
<url><loc>https://scifaro.com/en/abs/non-structured-dnn-weight-pruning-is-it-beneficial-in-any-platform-1907.02124</loc><lastmod>2020-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-structured-dnn-weight-pruning-is-it-beneficial-in-any-platform-1907.02124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-structured-dnn-weight-pruning-is-it-beneficial-in-any-platform-1907.02124"/></url>
<url><loc>https://scifaro.com/en/abs/integration-of-imitation-learning-using-gail-and-reinforcement-learning-using-task-achievement-rewards-via-probabilistic-graphical-model-1907.02140</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integration-of-imitation-learning-using-gail-and-reinforcement-learning-using-task-achievement-rewards-via-probabilistic-graphical-model-1907.02140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integration-of-imitation-learning-using-gail-and-reinforcement-learning-using-task-achievement-rewards-via-probabilistic-graphical-model-1907.02140"/></url>
<url><loc>https://scifaro.com/en/abs/capacity-bounded-differential-privacy-1907.02159</loc><lastmod>2019-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capacity-bounded-differential-privacy-1907.02159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capacity-bounded-differential-privacy-1907.02159"/></url>
<url><loc>https://scifaro.com/en/abs/online-evaluation-of-audiences-for-targeted-advertising-via-bandit-experiments-1907.02178</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-evaluation-of-audiences-for-targeted-advertising-via-bandit-experiments-1907.02178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-evaluation-of-audiences-for-targeted-advertising-via-bandit-experiments-1907.02178"/></url>
<url><loc>https://scifaro.com/en/abs/classifying-multi-gas-spectrums-using-monte-carlo-knn-and-multi-resolution-cnn-1907.02188</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifying-multi-gas-spectrums-using-monte-carlo-knn-and-multi-resolution-cnn-1907.02188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifying-multi-gas-spectrums-using-monte-carlo-knn-and-multi-resolution-cnn-1907.02188"/></url>
<url><loc>https://scifaro.com/en/abs/improving-attention-mechanism-in-graph-neural-networks-via-cardinality-preservation-1907.02204</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-attention-mechanism-in-graph-neural-networks-via-cardinality-preservation-1907.02204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-attention-mechanism-in-graph-neural-networks-via-cardinality-preservation-1907.02204"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-decision-trees-for-the-algorithm-selection-problem-integer-programming-based-approaches-1907.02211</loc><lastmod>2020-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-decision-trees-for-the-algorithm-selection-problem-integer-programming-based-approaches-1907.02211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-decision-trees-for-the-algorithm-selection-problem-integer-programming-based-approaches-1907.02211"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-knowledge-distillation-by-multi-head-attention-network-1907.02226</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-knowledge-distillation-by-multi-head-attention-network-1907.02226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-knowledge-distillation-by-multi-head-attention-network-1907.02226"/></url>
<url><loc>https://scifaro.com/en/abs/dimensional-reweighting-graph-convolutional-networks-1907.02237</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensional-reweighting-graph-convolutional-networks-1907.02237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensional-reweighting-graph-convolutional-networks-1907.02237"/></url>
<url><loc>https://scifaro.com/en/abs/fair-kernel-regression-via-fair-feature-embedding-in-kernel-space-1907.02242</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-kernel-regression-via-fair-feature-embedding-in-kernel-space-1907.02242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-kernel-regression-via-fair-feature-embedding-in-kernel-space-1907.02242"/></url>
<url><loc>https://scifaro.com/en/abs/lumi-erenet-lecture-video-synthesis-from-audio-1907.02253</loc><lastmod>2019-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lumi-erenet-lecture-video-synthesis-from-audio-1907.02253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lumi-erenet-lecture-video-synthesis-from-audio-1907.02253"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-domain-invariant-embedding-for-unsupervised-domain-adaptation-using-class-conditioned-distribution-alignment-1907.02271</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-domain-invariant-embedding-for-unsupervised-domain-adaptation-using-class-conditioned-distribution-alignment-1907.02271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-domain-invariant-embedding-for-unsupervised-domain-adaptation-using-class-conditioned-distribution-alignment-1907.02271"/></url>
<url><loc>https://scifaro.com/en/abs/k-is-the-magic-number-inferring-the-number-of-clusters-through-nonparametric-concentration-inequalities-1907.02343</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-is-the-magic-number-inferring-the-number-of-clusters-through-nonparametric-concentration-inequalities-1907.02343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-is-the-magic-number-inferring-the-number-of-clusters-through-nonparametric-concentration-inequalities-1907.02343"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-cca-with-implicit-distributions-1907.02345</loc><lastmod>2019-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-cca-with-implicit-distributions-1907.02345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-cca-with-implicit-distributions-1907.02345"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-in-sound-event-classification-1907.02477</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-in-sound-event-classification-1907.02477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-in-sound-event-classification-1907.02477"/></url>
<url><loc>https://scifaro.com/en/abs/on-validating-repairing-and-refining-heuristic-ml-explanations-1907.02509</loc><lastmod>2019-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-validating-repairing-and-refining-heuristic-ml-explanations-1907.02509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-validating-repairing-and-refining-heuristic-ml-explanations-1907.02509"/></url>
<url><loc>https://scifaro.com/en/abs/deep-coupled-representation-learning-for-sparse-linear-inverse-problems-with-side-information-1907.02511</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-coupled-representation-learning-for-sparse-linear-inverse-problems-with-side-information-1907.02511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-coupled-representation-learning-for-sparse-linear-inverse-problems-with-side-information-1907.02511"/></url>
<url><loc>https://scifaro.com/en/abs/locally-private-k-means-clustering-1907.02513</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-private-k-means-clustering-1907.02513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-private-k-means-clustering-1907.02513"/></url>
<url><loc>https://scifaro.com/en/abs/least-action-principles-and-well-posed-learning-problems-1907.02517</loc><lastmod>2019-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/least-action-principles-and-well-posed-learning-problems-1907.02517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/least-action-principles-and-well-posed-learning-problems-1907.02517"/></url>
<url><loc>https://scifaro.com/en/abs/neuron-ranking-an-informed-way-to-condense-convolutional-neural-networks-architecture-1907.02519</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuron-ranking-an-informed-way-to-condense-convolutional-neural-networks-architecture-1907.02519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuron-ranking-an-informed-way-to-condense-convolutional-neural-networks-architecture-1907.02519"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-the-data-efficiency-of-deep-learning-methods-1907.02549</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-the-data-efficiency-of-deep-learning-methods-1907.02549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-the-data-efficiency-of-deep-learning-methods-1907.02549"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-predictions-from-tree-based-boosting-ensembles-1907.02582</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-predictions-from-tree-based-boosting-ensembles-1907.02582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-predictions-from-tree-based-boosting-ensembles-1907.02582"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-counterfactual-explanations-guided-by-prototypes-1907.02584</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-counterfactual-explanations-guided-by-prototypes-1907.02584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-counterfactual-explanations-guided-by-prototypes-1907.02584"/></url>
<url><loc>https://scifaro.com/en/abs/structure-fusion-based-on-graph-convolutional-networks-for-semi-supervised-classification-1907.02586</loc><lastmod>2020-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-fusion-based-on-graph-convolutional-networks-for-semi-supervised-classification-1907.02586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-fusion-based-on-graph-convolutional-networks-for-semi-supervised-classification-1907.02586"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-principal-component-analysis-1907.02647</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-principal-component-analysis-1907.02647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-principal-component-analysis-1907.02647"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-of-online-learning-algorithms-for-training-recurrent-neural-networks-1907.02649</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-of-online-learning-algorithms-for-training-recurrent-neural-networks-1907.02649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-of-online-learning-algorithms-for-training-recurrent-neural-networks-1907.02649"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-the-distribution-learning-capabilities-of-gans-1907.02662</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-the-distribution-learning-capabilities-of-gans-1907.02662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-the-distribution-learning-capabilities-of-gans-1907.02662"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-learning-for-audio-based-music-classification-and-tagging-1907.02670</loc><lastmod>2020-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-learning-for-audio-based-music-classification-and-tagging-1907.02670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-learning-for-audio-based-music-classification-and-tagging-1907.02670"/></url>
<url><loc>https://scifaro.com/en/abs/twin-auxiliary-classifiers-gan-1907.02690</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/twin-auxiliary-classifiers-gan-1907.02690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/twin-auxiliary-classifiers-gan-1907.02690"/></url>
<url><loc>https://scifaro.com/en/abs/sequence-to-sequence-with-attention-for-influenza-prevalence-prediction-using-google-trends-1907.02786</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequence-to-sequence-with-attention-for-influenza-prevalence-prediction-using-google-trends-1907.02786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequence-to-sequence-with-attention-for-influenza-prevalence-prediction-using-google-trends-1907.02786"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-concept-learning-via-online-generative-memory-recall-1907.02788</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-concept-learning-via-online-generative-memory-recall-1907.02788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-concept-learning-via-online-generative-memory-recall-1907.02788"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-anomaly-localization-using-variational-auto-encoders-1907.02796</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-anomaly-localization-using-variational-auto-encoders-1907.02796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-anomaly-localization-using-variational-auto-encoders-1907.02796"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-e-commerce-customer-conversion-from-minimal-temporal-patterns-on-symbolized-clickstream-trajectories-1907.02797</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-e-commerce-customer-conversion-from-minimal-temporal-patterns-on-symbolized-clickstream-trajectories-1907.02797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-e-commerce-customer-conversion-from-minimal-temporal-patterns-on-symbolized-clickstream-trajectories-1907.02797"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-modeling-chit-chat-dialog-with-discrete-attributes-1907.02848</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-modeling-chit-chat-dialog-with-discrete-attributes-1907.02848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-modeling-chit-chat-dialog-with-discrete-attributes-1907.02848"/></url>
<url><loc>https://scifaro.com/en/abs/attentive-multi-task-deep-reinforcement-learning-1907.02874</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attentive-multi-task-deep-reinforcement-learning-1907.02874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attentive-multi-task-deep-reinforcement-learning-1907.02874"/></url>
<url><loc>https://scifaro.com/en/abs/generating-large-labeled-data-sets-for-laparoscopic-image-processing-tasks-using-unpaired-image-to-image-translation-1907.02882</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-large-labeled-data-sets-for-laparoscopic-image-processing-tasks-using-unpaired-image-to-image-translation-1907.02882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-large-labeled-data-sets-for-laparoscopic-image-processing-tasks-using-unpaired-image-to-image-translation-1907.02882"/></url>
<url><loc>https://scifaro.com/en/abs/visus-an-interactive-system-for-automatic-machine-learning-model-building-and-curation-1907.02889</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visus-an-interactive-system-for-automatic-machine-learning-model-building-and-curation-1907.02889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visus-an-interactive-system-for-automatic-machine-learning-model-building-and-curation-1907.02889"/></url>
<url><loc>https://scifaro.com/en/abs/on-inductive-biases-in-deep-reinforcement-learning-1907.02908</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-inductive-biases-in-deep-reinforcement-learning-1907.02908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-inductive-biases-in-deep-reinforcement-learning-1907.02908"/></url>
<url><loc>https://scifaro.com/en/abs/weight-space-symmetry-in-deep-networks-gives-rise-to-permutation-saddles-connected-by-equal-loss-valleys-across-the-loss-landscape-1907.02911</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weight-space-symmetry-in-deep-networks-gives-rise-to-permutation-saddles-connected-by-equal-loss-valleys-across-the-loss-landscape-1907.02911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weight-space-symmetry-in-deep-networks-gives-rise-to-permutation-saddles-connected-by-equal-loss-valleys-across-the-loss-landscape-1907.02911"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-uncertainty-and-saliency-maps-of-deep-convolutional-neural-networks-for-medical-imaging-applications-1907.02940</loc><lastmod>2019-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-uncertainty-and-saliency-maps-of-deep-convolutional-neural-networks-for-medical-imaging-applications-1907.02940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-uncertainty-and-saliency-maps-of-deep-convolutional-neural-networks-for-medical-imaging-applications-1907.02940"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-and-diagnosing-adversarial-images-with-class-conditional-capsule-reconstructions-1907.02957</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-and-diagnosing-adversarial-images-with-class-conditional-capsule-reconstructions-1907.02957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-and-diagnosing-adversarial-images-with-class-conditional-capsule-reconstructions-1907.02957"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-learning-of-distance-functions-for-goal-conditioned-reinforcement-learning-1907.02998</loc><lastmod>2020-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-learning-of-distance-functions-for-goal-conditioned-reinforcement-learning-1907.02998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-learning-of-distance-functions-for-goal-conditioned-reinforcement-learning-1907.02998"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-processes-for-analyzing-positioned-trajectories-in-sports-1907.03043</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-processes-for-analyzing-positioned-trajectories-in-sports-1907.03043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-processes-for-analyzing-positioned-trajectories-in-sports-1907.03043"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-behavioral-repertoire-from-demonstrations-1907.03046</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-behavioral-repertoire-from-demonstrations-1907.03046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-behavioral-repertoire-from-demonstrations-1907.03046"/></url>
<url><loc>https://scifaro.com/en/abs/jointly-aligning-and-predicting-continuous-emotion-annotations-1907.03050</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jointly-aligning-and-predicting-continuous-emotion-annotations-1907.03050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jointly-aligning-and-predicting-continuous-emotion-annotations-1907.03050"/></url>
<url><loc>https://scifaro.com/en/abs/a-communication-efficient-multi-agent-actor-critic-algorithm-for-distributed-reinforcement-learning-1907.03053</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-communication-efficient-multi-agent-actor-critic-algorithm-for-distributed-reinforcement-learning-1907.03053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-communication-efficient-multi-agent-actor-critic-algorithm-for-distributed-reinforcement-learning-1907.03053"/></url>
<url><loc>https://scifaro.com/en/abs/generative-counterfactual-introspection-for-explainable-deep-learning-1907.03077</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-counterfactual-introspection-for-explainable-deep-learning-1907.03077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-counterfactual-introspection-for-explainable-deep-learning-1907.03077"/></url>
<url><loc>https://scifaro.com/en/abs/playing-flappy-bird-via-asynchronous-advantage-actor-critic-algorithm-1907.03098</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/playing-flappy-bird-via-asynchronous-advantage-actor-critic-algorithm-1907.03098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/playing-flappy-bird-via-asynchronous-advantage-actor-critic-algorithm-1907.03098"/></url>
<url><loc>https://scifaro.com/en/abs/regularizing-linear-inverse-problems-with-convolutional-neural-networks-1907.03100</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizing-linear-inverse-problems-with-convolutional-neural-networks-1907.03100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizing-linear-inverse-problems-with-convolutional-neural-networks-1907.03100"/></url>
<url><loc>https://scifaro.com/en/abs/towards-enhancing-fault-tolerance-in-neural-networks-1907.03103</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-enhancing-fault-tolerance-in-neural-networks-1907.03103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-enhancing-fault-tolerance-in-neural-networks-1907.03103"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-motivation-driven-intuitive-physics-learning-using-deep-reinforcement-learning-with-intrinsic-reward-normalization-1907.03116</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-motivation-driven-intuitive-physics-learning-using-deep-reinforcement-learning-with-intrinsic-reward-normalization-1907.03116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-motivation-driven-intuitive-physics-learning-using-deep-reinforcement-learning-with-intrinsic-reward-normalization-1907.03116"/></url>
<url><loc>https://scifaro.com/en/abs/autocompress-an-automatic-dnn-structured-pruning-framework-for-ultra-high-compression-rates-1907.03141</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autocompress-an-automatic-dnn-structured-pruning-framework-for-ultra-high-compression-rates-1907.03141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autocompress-an-automatic-dnn-structured-pruning-framework-for-ultra-high-compression-rates-1907.03141"/></url>
<url><loc>https://scifaro.com/en/abs/diachronic-embedding-for-temporal-knowledge-graph-completion-1907.03143</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diachronic-embedding-for-temporal-knowledge-graph-completion-1907.03143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diachronic-embedding-for-temporal-knowledge-graph-completion-1907.03143"/></url>
<url><loc>https://scifaro.com/en/abs/intelligent-systems-design-for-malware-classification-under-adversarial-conditions-1907.03149</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intelligent-systems-design-for-malware-classification-under-adversarial-conditions-1907.03149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intelligent-systems-design-for-malware-classification-under-adversarial-conditions-1907.03149"/></url>
<url><loc>https://scifaro.com/en/abs/towards-debugging-deep-neural-networks-by-generating-speech-utterances-1907.03164</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-debugging-deep-neural-networks-by-generating-speech-utterances-1907.03164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-debugging-deep-neural-networks-by-generating-speech-utterances-1907.03164"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-knowledge-graph-alignment-with-adversarial-learning-1907.03179</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-knowledge-graph-alignment-with-adversarial-learning-1907.03179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-knowledge-graph-alignment-with-adversarial-learning-1907.03179"/></url>
<url><loc>https://scifaro.com/en/abs/what-graph-neural-networks-cannot-learn-depth-vs-width-1907.03199</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-graph-neural-networks-cannot-learn-depth-vs-width-1907.03199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-graph-neural-networks-cannot-learn-depth-vs-width-1907.03199"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-locally-linear-deep-networks-1907.03207</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-locally-linear-deep-networks-1907.03207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-locally-linear-deep-networks-1907.03207"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-dictionary-learning-based-auto-encoders-for-natural-exponential-family-distributions-1907.03211</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-dictionary-learning-based-auto-encoders-for-natural-exponential-family-distributions-1907.03211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-dictionary-learning-based-auto-encoders-for-natural-exponential-family-distributions-1907.03211"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-and-langevin-processes-1907.03215</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-and-langevin-processes-1907.03215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-and-langevin-processes-1907.03215"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-inspired-canonical-correlation-analysis-for-exponentially-large-dimensional-data-1907.03236</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-inspired-canonical-correlation-analysis-for-exponentially-large-dimensional-data-1907.03236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-inspired-canonical-correlation-analysis-for-exponentially-large-dimensional-data-1907.03236"/></url>
<url><loc>https://scifaro.com/en/abs/resource-efficient-computing-in-wearable-systems-1907.03247</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resource-efficient-computing-in-wearable-systems-1907.03247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resource-efficient-computing-in-wearable-systems-1907.03247"/></url>
<url><loc>https://scifaro.com/en/abs/resource-efficient-wearable-computing-for-real-time-reconfigurable-machine-learning-a-cascading-binary-classification-1907.03250</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resource-efficient-wearable-computing-for-real-time-reconfigurable-machine-learning-a-cascading-binary-classification-1907.03250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resource-efficient-wearable-computing-for-real-time-reconfigurable-machine-learning-a-cascading-binary-classification-1907.03250"/></url>
<url><loc>https://scifaro.com/en/abs/a-human-grounded-evaluation-of-shap-for-alert-processing-1907.03324</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-human-grounded-evaluation-of-shap-for-alert-processing-1907.03324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-human-grounded-evaluation-of-shap-for-alert-processing-1907.03324"/></url>
<url><loc>https://scifaro.com/en/abs/fast-es-rnn-a-gpu-implementation-of-the-es-rnn-algorithm-1907.03329</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-es-rnn-a-gpu-implementation-of-the-es-rnn-algorithm-1907.03329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-es-rnn-a-gpu-implementation-of-the-es-rnn-algorithm-1907.03329"/></url>
<url><loc>https://scifaro.com/en/abs/case-based-reasoning-for-assisting-domain-experts-in-processing-fraud-alerts-of-black-box-machine-learning-models-1907.03334</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/case-based-reasoning-for-assisting-domain-experts-in-processing-fraud-alerts-of-black-box-machine-learning-models-1907.03334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/case-based-reasoning-for-assisting-domain-experts-in-processing-fraud-alerts-of-black-box-machine-learning-models-1907.03334"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-provable-admm-for-learning-with-generative-priors-1907.03343</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-provable-admm-for-learning-with-generative-priors-1907.03343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-provable-admm-for-learning-with-generative-priors-1907.03343"/></url>
<url><loc>https://scifaro.com/en/abs/individual-regret-in-cooperative-nonstochastic-multi-armed-bandits-1907.03346</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/individual-regret-in-cooperative-nonstochastic-multi-armed-bandits-1907.03346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/individual-regret-in-cooperative-nonstochastic-multi-armed-bandits-1907.03346"/></url>
<url><loc>https://scifaro.com/en/abs/improving-detection-of-credit-card-fraudulent-transactions-using-generative-adversarial-networks-1907.03355</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-detection-of-credit-card-fraudulent-transactions-using-generative-adversarial-networks-1907.03355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-detection-of-credit-card-fraudulent-transactions-using-generative-adversarial-networks-1907.03355"/></url>
<url><loc>https://scifaro.com/en/abs/copula-marginal-flows-disentangling-the-marginal-from-its-joint-1907.03361</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copula-marginal-flows-disentangling-the-marginal-from-its-joint-1907.03361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copula-marginal-flows-disentangling-the-marginal-from-its-joint-1907.03361"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-classification-with-secret-vector-machines-1907.03373</loc><lastmod>2020-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-classification-with-secret-vector-machines-1907.03373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-classification-with-secret-vector-machines-1907.03373"/></url>
<url><loc>https://scifaro.com/en/abs/etalumis-bringing-probabilistic-programming-to-scientific-simulators-at-scale-1907.03382</loc><lastmod>2020-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/etalumis-bringing-probabilistic-programming-to-scientific-simulators-at-scale-1907.03382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/etalumis-bringing-probabilistic-programming-to-scientific-simulators-at-scale-1907.03382"/></url>
<url><loc>https://scifaro.com/en/abs/blending-target-domain-adaptation-by-adversarial-meta-adaptation-networks-1907.03389</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blending-target-domain-adaptation-by-adversarial-meta-adaptation-networks-1907.03389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blending-target-domain-adaptation-by-adversarial-meta-adaptation-networks-1907.03389"/></url>
<url><loc>https://scifaro.com/en/abs/the-price-of-interpretability-1907.03419</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-price-of-interpretability-1907.03419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-price-of-interpretability-1907.03419"/></url>
<url><loc>https://scifaro.com/en/abs/on-policy-robot-imitation-learning-from-a-converging-supervisor-1907.03423</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-policy-robot-imitation-learning-from-a-converging-supervisor-1907.03423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-policy-robot-imitation-learning-from-a-converging-supervisor-1907.03423"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-information-adversarial-ensemble-for-scalable-joint-distribution-matching-1907.03426</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-information-adversarial-ensemble-for-scalable-joint-distribution-matching-1907.03426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-information-adversarial-ensemble-for-scalable-joint-distribution-matching-1907.03426"/></url>
<url><loc>https://scifaro.com/en/abs/general-control-functions-for-causal-effect-estimation-from-instrumental-variables-1907.03451</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-control-functions-for-causal-effect-estimation-from-instrumental-variables-1907.03451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-control-functions-for-causal-effect-estimation-from-instrumental-variables-1907.03451"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-transparency-of-machine-learning-systems-through-analysis-of-contributions-1907.03483</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-transparency-of-machine-learning-systems-through-analysis-of-contributions-1907.03483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-transparency-of-machine-learning-systems-through-analysis-of-contributions-1907.03483"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-extreme-learning-machine-pielm-a-rapid-method-for-the-numerical-solution-of-partial-differential-equations-1907.03507</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-extreme-learning-machine-pielm-a-rapid-method-for-the-numerical-solution-of-partial-differential-equations-1907.03507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-extreme-learning-machine-pielm-a-rapid-method-for-the-numerical-solution-of-partial-differential-equations-1907.03507"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-stage-clustering-framework-for-automotive-radar-data-1907.03511</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-stage-clustering-framework-for-automotive-radar-data-1907.03511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-stage-clustering-framework-for-automotive-radar-data-1907.03511"/></url>
<url><loc>https://scifaro.com/en/abs/shrinkml-end-to-end-asr-model-compression-using-reinforcement-learning-1907.03540</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shrinkml-end-to-end-asr-model-compression-using-reinforcement-learning-1907.03540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shrinkml-end-to-end-asr-model-compression-using-reinforcement-learning-1907.03540"/></url>
<url><loc>https://scifaro.com/en/abs/data-efficient-reinforcement-learning-for-legged-robots-1907.03613</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-efficient-reinforcement-learning-for-legged-robots-1907.03613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-efficient-reinforcement-learning-for-legged-robots-1907.03613"/></url>
<url><loc>https://scifaro.com/en/abs/general-non-linear-bellman-equations-1907.03687</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-non-linear-bellman-equations-1907.03687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-non-linear-bellman-equations-1907.03687"/></url>
<url><loc>https://scifaro.com/en/abs/tracknet-a-deep-learning-network-for-tracking-high-speed-and-tiny-objects-in-sports-applications-1907.03698</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tracknet-a-deep-learning-network-for-tracking-high-speed-and-tiny-objects-in-sports-applications-1907.03698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tracknet-a-deep-learning-network-for-tracking-high-speed-and-tiny-objects-in-sports-applications-1907.03698"/></url>
<url><loc>https://scifaro.com/en/abs/policy-gradient-algorithms-have-no-guarantees-of-convergence-in-linear-quadratic-games-1907.03712</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-gradient-algorithms-have-no-guarantees-of-convergence-in-linear-quadratic-games-1907.03712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-gradient-algorithms-have-no-guarantees-of-convergence-in-linear-quadratic-games-1907.03712"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-customer-call-intent-by-analyzing-phone-call-transcripts-based-on-cnn-for-multi-class-classification-1907.03715</loc><lastmod>2019-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-customer-call-intent-by-analyzing-phone-call-transcripts-based-on-cnn-for-multi-class-classification-1907.03715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-customer-call-intent-by-analyzing-phone-call-transcripts-based-on-cnn-for-multi-class-classification-1907.03715"/></url>
<url><loc>https://scifaro.com/en/abs/expressive-power-of-tensor-network-factorizations-for-probabilistic-modeling-with-applications-from-hidden-markov-models-to-quantum-machine-learning-1907.03741</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expressive-power-of-tensor-network-factorizations-for-probabilistic-modeling-with-applications-from-hidden-markov-models-to-quantum-machine-learning-1907.03741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expressive-power-of-tensor-network-factorizations-for-probabilistic-modeling-with-applications-from-hidden-markov-models-to-quantum-machine-learning-1907.03741"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-em-with-gd-in-mixture-models-of-two-components-1907.03783</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-em-with-gd-in-mixture-models-of-two-components-1907.03783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-em-with-gd-in-mixture-models-of-two-components-1907.03783"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-bayes-risk-for-gaussian-mixture-in-a-semi-supervised-setting-1907.03792</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-bayes-risk-for-gaussian-mixture-in-a-semi-supervised-setting-1907.03792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-bayes-risk-for-gaussian-mixture-in-a-semi-supervised-setting-1907.03792"/></url>
<url><loc>https://scifaro.com/en/abs/rehearsal-free-continual-learning-over-small-non-i-i-d-batches-1907.03799</loc><lastmod>2020-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rehearsal-free-continual-learning-over-small-non-i-i-d-batches-1907.03799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rehearsal-free-continual-learning-over-small-non-i-i-d-batches-1907.03799"/></url>
<url><loc>https://scifaro.com/en/abs/the-power-of-comparisons-for-actively-learning-linear-classifiers-1907.03816</loc><lastmod>2020-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-power-of-comparisons-for-actively-learning-linear-classifiers-1907.03816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-power-of-comparisons-for-actively-learning-linear-classifiers-1907.03816"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-on-symmetric-alpha-stable-bandits-1907.03821</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-on-symmetric-alpha-stable-bandits-1907.03821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-on-symmetric-alpha-stable-bandits-1907.03821"/></url>
<url><loc>https://scifaro.com/en/abs/profiling-players-with-engagement-predictions-1907.03870</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/profiling-players-with-engagement-predictions-1907.03870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/profiling-players-with-engagement-predictions-1907.03870"/></url>
<url><loc>https://scifaro.com/en/abs/multi-scale-vector-quantization-with-reconstruction-trees-1907.03875</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-scale-vector-quantization-with-reconstruction-trees-1907.03875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-scale-vector-quantization-with-reconstruction-trees-1907.03875"/></url>
<url><loc>https://scifaro.com/en/abs/deep-active-inference-as-variational-policy-gradients-1907.03876</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-active-inference-as-variational-policy-gradients-1907.03876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-active-inference-as-variational-policy-gradients-1907.03876"/></url>
<url><loc>https://scifaro.com/en/abs/latent-odes-for-irregularly-sampled-time-series-1907.03907</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-odes-for-irregularly-sampled-time-series-1907.03907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-odes-for-irregularly-sampled-time-series-1907.03907"/></url>
<url><loc>https://scifaro.com/en/abs/are-deep-resnets-provably-better-than-linear-predictors-1907.03922</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-deep-resnets-provably-better-than-linear-predictors-1907.03922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-deep-resnets-provably-better-than-linear-predictors-1907.03922"/></url>
<url><loc>https://scifaro.com/en/abs/non-technical-loss-detection-with-statistical-profile-images-based-on-semi-supervised-learning-1907.03925</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-technical-loss-detection-with-statistical-profile-images-based-on-semi-supervised-learning-1907.03925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-technical-loss-detection-with-statistical-profile-images-based-on-semi-supervised-learning-1907.03925"/></url>
<url><loc>https://scifaro.com/en/abs/better-than-demonstrator-imitation-learning-via-automatically-ranked-demonstrations-1907.03976</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-than-demonstrator-imitation-learning-via-automatically-ranked-demonstrations-1907.03976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-than-demonstrator-imitation-learning-via-automatically-ranked-demonstrations-1907.03976"/></url>
<url><loc>https://scifaro.com/en/abs/mean-spectral-normalization-of-deep-neural-networks-for-embedded-automation-1907.04003</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-spectral-normalization-of-deep-neural-networks-for-embedded-automation-1907.04003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-spectral-normalization-of-deep-neural-networks-for-embedded-automation-1907.04003"/></url>
<url><loc>https://scifaro.com/en/abs/data-independent-neural-pruning-via-coresets-1907.04018</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-independent-neural-pruning-via-coresets-1907.04018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-independent-neural-pruning-via-coresets-1907.04018"/></url>
<url><loc>https://scifaro.com/en/abs/svgd-a-virtual-gradients-descent-method-for-stochastic-optimization-1907.04021</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/svgd-a-virtual-gradients-descent-method-for-stochastic-optimization-1907.04021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/svgd-a-virtual-gradients-descent-method-for-stochastic-optimization-1907.04021"/></url>
<url><loc>https://scifaro.com/en/abs/pathrank-a-multi-task-learning-framework-to-rank-paths-in-spatial-networks-1907.04028</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pathrank-a-multi-task-learning-framework-to-rank-paths-in-spatial-networks-1907.04028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pathrank-a-multi-task-learning-framework-to-rank-paths-in-spatial-networks-1907.04028"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-p-shrinkage-nuclear-norm-for-low-rank-tensor-completion-1907.04092</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-p-shrinkage-nuclear-norm-for-low-rank-tensor-completion-1907.04092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-p-shrinkage-nuclear-norm-for-low-rank-tensor-completion-1907.04092"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-confounding-bias-in-neuroimaging-datasets-with-causal-inference-1907.04102</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-confounding-bias-in-neuroimaging-datasets-with-causal-inference-1907.04102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-confounding-bias-in-neuroimaging-datasets-with-causal-inference-1907.04102"/></url>
<url><loc>https://scifaro.com/en/abs/the-what-if-tool-interactive-probing-of-machine-learning-models-1907.04135</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-what-if-tool-interactive-probing-of-machine-learning-models-1907.04135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-what-if-tool-interactive-probing-of-machine-learning-models-1907.04135"/></url>
<url><loc>https://scifaro.com/en/abs/characterization-of-overlap-in-observational-studies-1907.04138</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterization-of-overlap-in-observational-studies-1907.04138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterization-of-overlap-in-observational-studies-1907.04138"/></url>
<url><loc>https://scifaro.com/en/abs/nonnegative-matrix-factorization-with-local-similarity-learning-1907.04150</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonnegative-matrix-factorization-with-local-similarity-learning-1907.04150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonnegative-matrix-factorization-with-local-similarity-learning-1907.04150"/></url>
<url><loc>https://scifaro.com/en/abs/which-algorithmic-choices-matter-at-which-batch-sizes-insights-from-a-noisy-quadratic-model-1907.04164</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-algorithmic-choices-matter-at-which-batch-sizes-insights-from-a-noisy-quadratic-model-1907.04164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-algorithmic-choices-matter-at-which-batch-sizes-insights-from-a-noisy-quadratic-model-1907.04164"/></url>
<url><loc>https://scifaro.com/en/abs/attending-to-emotional-narratives-1907.04197</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attending-to-emotional-narratives-1907.04197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attending-to-emotional-narratives-1907.04197"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-combinatorial-network-optimization-in-unknown-environments-1907.04201</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-combinatorial-network-optimization-in-unknown-environments-1907.04201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-combinatorial-network-optimization-in-unknown-environments-1907.04201"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-mpc-for-bayesian-model-based-reinforcement-learning-1907.04202</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-mpc-for-bayesian-model-based-reinforcement-learning-1907.04202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-mpc-for-bayesian-model-based-reinforcement-learning-1907.04202"/></url>
<url><loc>https://scifaro.com/en/abs/entropic-regularization-of-markov-decision-processes-1907.04214</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropic-regularization-of-markov-decision-processes-1907.04214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropic-regularization-of-markov-decision-processes-1907.04214"/></url>
<url><loc>https://scifaro.com/en/abs/unified-optimal-analysis-of-the-stochastic-gradient-method-1907.04232</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-optimal-analysis-of-the-stochastic-gradient-method-1907.04232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-optimal-analysis-of-the-stochastic-gradient-method-1907.04232"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-one-class-classification-in-data-streams-1907.04233</loc><lastmod>2019-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-one-class-classification-in-data-streams-1907.04233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-one-class-classification-in-data-streams-1907.04233"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-optimize-domain-specific-normalization-for-domain-generalization-1907.04275</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-optimize-domain-specific-normalization-for-domain-generalization-1907.04275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-optimize-domain-specific-normalization-for-domain-generalization-1907.04275"/></url>
<url><loc>https://scifaro.com/en/abs/global-optimality-guarantees-for-nonconvex-unsupervised-video-segmentation-1907.04409</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-optimality-guarantees-for-nonconvex-unsupervised-video-segmentation-1907.04409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-optimality-guarantees-for-nonconvex-unsupervised-video-segmentation-1907.04409"/></url>
<url><loc>https://scifaro.com/en/abs/gluoncv-and-gluonnlp-deep-learning-in-computer-vision-and-natural-language-processing-1907.04433</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gluoncv-and-gluonnlp-deep-learning-in-computer-vision-and-natural-language-processing-1907.04433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gluoncv-and-gluonnlp-deep-learning-in-computer-vision-and-natural-language-processing-1907.04433"/></url>
<url><loc>https://scifaro.com/en/abs/model-development-process-1907.04461</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-development-process-1907.04461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-development-process-1907.04461"/></url>
<url><loc>https://scifaro.com/en/abs/neural-input-search-for-large-scale-recommendation-models-1907.04471</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-input-search-for-large-scale-recommendation-models-1907.04471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-input-search-for-large-scale-recommendation-models-1907.04471"/></url>
<url><loc>https://scifaro.com/en/abs/copula-representations-and-error-surface-projections-for-the-exclusive-or-problem-1907.04483</loc><lastmod>2023-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copula-representations-and-error-surface-projections-for-the-exclusive-or-problem-1907.04483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copula-representations-and-error-surface-projections-for-the-exclusive-or-problem-1907.04483"/></url>
<url><loc>https://scifaro.com/en/abs/co-training-for-policy-learning-1907.04484</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-training-for-policy-learning-1907.04484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-training-for-policy-learning-1907.04484"/></url>
<url><loc>https://scifaro.com/en/abs/deep-lagrangian-networks-using-physics-as-model-prior-for-deep-learning-1907.04490</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-lagrangian-networks-using-physics-as-model-prior-for-deep-learning-1907.04490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-lagrangian-networks-using-physics-as-model-prior-for-deep-learning-1907.04490"/></url>
<url><loc>https://scifaro.com/en/abs/deepxde-a-deep-learning-library-for-solving-differential-equations-1907.04502</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepxde-a-deep-learning-library-for-solving-differential-equations-1907.04502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepxde-a-deep-learning-library-for-solving-differential-equations-1907.04502"/></url>
<url><loc>https://scifaro.com/en/abs/dual-dynamic-inference-enabling-more-efficient-adaptive-and-controllable-deep-inference-1907.04523</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-dynamic-inference-enabling-more-efficient-adaptive-and-controllable-deep-inference-1907.04523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-dynamic-inference-enabling-more-efficient-adaptive-and-controllable-deep-inference-1907.04523"/></url>
<url><loc>https://scifaro.com/en/abs/multi-layer-attention-mechanism-for-speech-keyword-recognition-1907.04536</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-layer-attention-mechanism-for-speech-keyword-recognition-1907.04536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-layer-attention-mechanism-for-speech-keyword-recognition-1907.04536"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimistic-perspective-on-offline-reinforcement-learning-1907.04543</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimistic-perspective-on-offline-reinforcement-learning-1907.04543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimistic-perspective-on-offline-reinforcement-learning-1907.04543"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-distribution-detection-using-neural-rendering-generative-models-1907.04572</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-distribution-detection-using-neural-rendering-generative-models-1907.04572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-distribution-detection-using-neural-rendering-generative-models-1907.04572"/></url>
<url><loc>https://scifaro.com/en/abs/towards-explaining-the-regularization-effect-of-initial-large-learning-rate-in-training-neural-networks-1907.04595</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-explaining-the-regularization-effect-of-initial-large-learning-rate-in-training-neural-networks-1907.04595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-explaining-the-regularization-effect-of-initial-large-learning-rate-in-training-neural-networks-1907.04595"/></url>
<url><loc>https://scifaro.com/en/abs/epnas-efficient-progressive-neural-architecture-search-1907.04648</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/epnas-efficient-progressive-neural-architecture-search-1907.04648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/epnas-efficient-progressive-neural-architecture-search-1907.04648"/></url>
<url><loc>https://scifaro.com/en/abs/hardware-software-co-exploration-of-neural-architectures-1907.04650</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hardware-software-co-exploration-of-neural-architectures-1907.04650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hardware-software-co-exploration-of-neural-architectures-1907.04650"/></url>
<url><loc>https://scifaro.com/en/abs/incrementally-learning-functions-of-the-return-1907.04651</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incrementally-learning-functions-of-the-return-1907.04651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incrementally-learning-functions-of-the-return-1907.04651"/></url>
<url><loc>https://scifaro.com/en/abs/graph-representation-learning-via-hard-and-channel-wise-attention-networks-1907.04652</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-representation-learning-via-hard-and-channel-wise-attention-networks-1907.04652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-representation-learning-via-hard-and-channel-wise-attention-networks-1907.04652"/></url>
<url><loc>https://scifaro.com/en/abs/an-intrinsically-motivated-approach-for-learning-highly-exploring-and-fast-mixing-policies-1907.04662</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-intrinsically-motivated-approach-for-learning-highly-exploring-and-fast-mixing-policies-1907.04662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-intrinsically-motivated-approach-for-learning-highly-exploring-and-fast-mixing-policies-1907.04662"/></url>
<url><loc>https://scifaro.com/en/abs/routine-modeling-with-time-series-metric-learning-1907.04666</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/routine-modeling-with-time-series-metric-learning-1907.04666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/routine-modeling-with-time-series-metric-learning-1907.04666"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-explanations-of-linear-models-1907.04669</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-explanations-of-linear-models-1907.04669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-explanations-of-linear-models-1907.04669"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-performance-of-the-lstm-and-hmm-model-via-hybridization-1907.04670</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-performance-of-the-lstm-and-hmm-model-via-hybridization-1907.04670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-performance-of-the-lstm-and-hmm-model-via-hybridization-1907.04670"/></url>
<url><loc>https://scifaro.com/en/abs/a-projectional-ansatz-to-reconstruction-1907.04675</loc><lastmod>2019-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-projectional-ansatz-to-reconstruction-1907.04675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-projectional-ansatz-to-reconstruction-1907.04675"/></url>
<url><loc>https://scifaro.com/en/abs/label-aware-graph-convolutional-networks-1907.04707</loc><lastmod>2020-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-aware-graph-convolutional-networks-1907.04707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-aware-graph-convolutional-networks-1907.04707"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-behavior-model-of-hybrid-systems-through-combining-model-based-testing-and-machine-learning-full-version-1907.04708</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-behavior-model-of-hybrid-systems-through-combining-model-based-testing-and-machine-learning-full-version-1907.04708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-behavior-model-of-hybrid-systems-through-combining-model-based-testing-and-machine-learning-full-version-1907.04708"/></url>
<url><loc>https://scifaro.com/en/abs/trust-region-variational-inference-with-gaussian-mixture-models-1907.04710</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trust-region-variational-inference-with-gaussian-mixture-models-1907.04710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trust-region-variational-inference-with-gaussian-mixture-models-1907.04710"/></url>
<url><loc>https://scifaro.com/en/abs/markov-decision-process-for-mooc-users-behavioral-inference-1907.04723</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-decision-process-for-mooc-users-behavioral-inference-1907.04723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-decision-process-for-mooc-users-behavioral-inference-1907.04723"/></url>
<url><loc>https://scifaro.com/en/abs/fast-haar-transforms-for-graph-neural-networks-1907.04786</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-haar-transforms-for-graph-neural-networks-1907.04786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-haar-transforms-for-graph-neural-networks-1907.04786"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-error-in-the-presence-of-confounders-for-causal-inference-1907.04805</loc><lastmod>2019-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-error-in-the-presence-of-confounders-for-causal-inference-1907.04805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-error-in-the-presence-of-confounders-for-causal-inference-1907.04805"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-networks-from-scratch-faster-training-without-losing-performance-1907.04840</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-networks-from-scratch-faster-training-without-losing-performance-1907.04840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-networks-from-scratch-faster-training-without-losing-performance-1907.04840"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-dynamics-models-for-data-efficient-reinforcement-learning-1907.04902</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-dynamics-models-for-data-efficient-reinforcement-learning-1907.04902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-dynamics-models-for-data-efficient-reinforcement-learning-1907.04902"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-an-increase-in-predicted-risk-for-clinical-alerts-1907.04911</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-an-increase-in-predicted-risk-for-clinical-alerts-1907.04911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-an-increase-in-predicted-risk-for-clinical-alerts-1907.04911"/></url>
<url><loc>https://scifaro.com/en/abs/graphsaint-graph-sampling-based-inductive-learning-method-1907.04931</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphsaint-graph-sampling-based-inductive-learning-method-1907.04931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphsaint-graph-sampling-based-inductive-learning-method-1907.04931"/></url>
<url><loc>https://scifaro.com/en/abs/a-model-based-approach-for-sample-efficient-multi-task-reinforcement-learning-1907.04964</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-model-based-approach-for-sample-efficient-multi-task-reinforcement-learning-1907.04964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-model-based-approach-for-sample-efficient-multi-task-reinforcement-learning-1907.04964"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-representation-power-of-graph-neural-networks-in-learning-graph-topology-1907.05008</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-representation-power-of-graph-neural-networks-in-learning-graph-topology-1907.05008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-representation-power-of-graph-neural-networks-in-learning-graph-topology-1907.05008"/></url>
<url><loc>https://scifaro.com/en/abs/making-ai-forget-you-data-deletion-in-machine-learning-1907.05012</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-ai-forget-you-data-deletion-in-machine-learning-1907.05012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-ai-forget-you-data-deletion-in-machine-learning-1907.05012"/></url>
<url><loc>https://scifaro.com/en/abs/profiling-based-out-of-core-hybrid-method-for-large-neural-networks-1907.05013</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/profiling-based-out-of-core-hybrid-method-for-large-neural-networks-1907.05013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/profiling-based-out-of-core-hybrid-method-for-large-neural-networks-1907.05013"/></url>
<url><loc>https://scifaro.com/en/abs/safe-policy-improvement-with-soft-baseline-bootstrapping-1907.05079</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-policy-improvement-with-soft-baseline-bootstrapping-1907.05079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-policy-improvement-with-soft-baseline-bootstrapping-1907.05079"/></url>
<url><loc>https://scifaro.com/en/abs/spatiotemporal-local-propagation-1907.05106</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatiotemporal-local-propagation-1907.05106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatiotemporal-local-propagation-1907.05106"/></url>
<url><loc>https://scifaro.com/en/abs/precall-a-visual-interface-for-threshold-optimization-in-ml-model-selection-1907.05131</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/precall-a-visual-interface-for-threshold-optimization-in-ml-model-selection-1907.05131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/precall-a-visual-interface-for-threshold-optimization-in-ml-model-selection-1907.05131"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-remaining-useful-life-interpretable-deep-learning-approach-via-variational-bayesian-inferences-1907.05146</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-remaining-useful-life-interpretable-deep-learning-approach-via-variational-bayesian-inferences-1907.05146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-remaining-useful-life-interpretable-deep-learning-approach-via-variational-bayesian-inferences-1907.05146"/></url>
<url><loc>https://scifaro.com/en/abs/amplifying-r-enyi-differential-privacy-via-shuffling-1907.05156</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amplifying-r-enyi-differential-privacy-via-shuffling-1907.05156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amplifying-r-enyi-differential-privacy-via-shuffling-1907.05156"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-without-regret-1907.05159</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-without-regret-1907.05159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-without-regret-1907.05159"/></url>
<url><loc>https://scifaro.com/en/abs/eigen-artificial-neural-networks-1907.05200</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigen-artificial-neural-networks-1907.05200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigen-artificial-neural-networks-1907.05200"/></url>
<url><loc>https://scifaro.com/en/abs/variance-based-risk-estimations-in-markov-processes-via-transformation-with-state-lumping-1907.05231</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-based-risk-estimations-in-markov-processes-via-transformation-with-state-lumping-1907.05231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-based-risk-estimations-in-markov-processes-via-transformation-with-state-lumping-1907.05231"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-linear-models-in-multi-resolution-population-data-using-minimum-description-length-principle-to-predict-household-income-1907.05234</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-linear-models-in-multi-resolution-population-data-using-minimum-description-length-principle-to-predict-household-income-1907.05234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-linear-models-in-multi-resolution-population-data-using-minimum-description-length-principle-to-predict-household-income-1907.05234"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-cluster-kernels-to-exploit-informative-missingness-and-incomplete-label-information-1907.05251</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-cluster-kernels-to-exploit-informative-missingness-and-incomplete-label-information-1907.05251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-cluster-kernels-to-exploit-informative-missingness-and-incomplete-label-information-1907.05251"/></url>
<url><loc>https://scifaro.com/en/abs/perturbation-theory-approach-to-study-the-latent-space-degeneracy-of-variational-autoencoders-1907.05267</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perturbation-theory-approach-to-study-the-latent-space-degeneracy-of-variational-autoencoders-1907.05267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perturbation-theory-approach-to-study-the-latent-space-degeneracy-of-variational-autoencoders-1907.05267"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-imitation-generative-and-variational-choreography-via-machine-learning-1907.05297</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-imitation-generative-and-variational-choreography-via-machine-learning-1907.05297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-imitation-generative-and-variational-choreography-via-machine-learning-1907.05297"/></url>
<url><loc>https://scifaro.com/en/abs/time2vec-learning-a-vector-representation-of-time-1907.05321</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time2vec-learning-a-vector-representation-of-time-1907.05321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time2vec-learning-a-vector-representation-of-time-1907.05321"/></url>
<url><loc>https://scifaro.com/en/abs/performance-boundary-identification-for-the-evaluation-of-automated-vehicles-using-gaussian-process-classification-1907.05364</loc><lastmod>2019-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-boundary-identification-for-the-evaluation-of-automated-vehicles-using-gaussian-process-classification-1907.05364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-boundary-identification-for-the-evaluation-of-automated-vehicles-using-gaussian-process-classification-1907.05364"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-reinforcement-learning-with-linear-function-approximation-1907.05388</loc><lastmod>2019-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-reinforcement-learning-with-linear-function-approximation-1907.05388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-reinforcement-learning-with-linear-function-approximation-1907.05388"/></url>
<url><loc>https://scifaro.com/en/abs/imitation-projected-programmatic-reinforcement-learning-1907.05431</loc><lastmod>2021-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitation-projected-programmatic-reinforcement-learning-1907.05431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitation-projected-programmatic-reinforcement-learning-1907.05431"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-optimality-of-trees-generated-by-id3-1907.05444</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-optimality-of-trees-generated-by-id3-1907.05444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-optimality-of-trees-generated-by-id3-1907.05444"/></url>
<url><loc>https://scifaro.com/en/abs/minimizers-of-the-empirical-risk-and-risk-monotonicity-1907.05476</loc><lastmod>2020-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimizers-of-the-empirical-risk-and-risk-monotonicity-1907.05476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimizers-of-the-empirical-risk-and-risk-monotonicity-1907.05476"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-to-estimate-warfarin-dose-with-contextual-linear-bandits-1907.05496</loc><lastmod>2019-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-to-estimate-warfarin-dose-with-contextual-linear-bandits-1907.05496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-to-estimate-warfarin-dose-with-contextual-linear-bandits-1907.05496"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-intelligence-as-a-services-ai-aas-on-software-defined-infrastructure-1907.05505</loc><lastmod>2019-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-intelligence-as-a-services-ai-aas-on-software-defined-infrastructure-1907.05505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-intelligence-as-a-services-ai-aas-on-software-defined-infrastructure-1907.05505"/></url>
<url><loc>https://scifaro.com/en/abs/faster-neural-network-training-with-data-echoing-1907.05550</loc><lastmod>2020-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-neural-network-training-with-data-echoing-1907.05550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-neural-network-training-with-data-echoing-1907.05550"/></url>
<url><loc>https://scifaro.com/en/abs/r-transformer-recurrent-neural-network-enhanced-transformer-1907.05572</loc><lastmod>2019-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/r-transformer-recurrent-neural-network-enhanced-transformer-1907.05572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/r-transformer-recurrent-neural-network-enhanced-transformer-1907.05572"/></url>
<url><loc>https://scifaro.com/en/abs/activity2vec-learning-adl-embeddings-from-sensor-data-with-a-sequence-to-sequence-model-1907.05597</loc><lastmod>2019-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/activity2vec-learning-adl-embeddings-from-sensor-data-with-a-sequence-to-sequence-model-1907.05597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/activity2vec-learning-adl-embeddings-from-sensor-data-with-a-sequence-to-sequence-model-1907.05597"/></url>
<url><loc>https://scifaro.com/en/abs/generative-modeling-by-estimating-gradients-of-the-data-distribution-1907.05600</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-modeling-by-estimating-gradients-of-the-data-distribution-1907.05600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-modeling-by-estimating-gradients-of-the-data-distribution-1907.05600"/></url>
<url><loc>https://scifaro.com/en/abs/towards-probabilistic-generative-models-harnessing-graph-neural-networks-for-disease-gene-prediction-1907.05628</loc><lastmod>2019-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-probabilistic-generative-models-harnessing-graph-neural-networks-for-disease-gene-prediction-1907.05628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-probabilistic-generative-models-harnessing-graph-neural-networks-for-disease-gene-prediction-1907.05628"/></url>
<url><loc>https://scifaro.com/en/abs/laplacian-regularized-graph-bandits-algorithms-and-theoretical-analysis-1907.05632</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/laplacian-regularized-graph-bandits-algorithms-and-theoretical-analysis-1907.05632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/laplacian-regularized-graph-bandits-algorithms-and-theoretical-analysis-1907.05632"/></url>
<url><loc>https://scifaro.com/en/abs/learning-self-correctable-policies-and-value-functions-from-demonstrations-with-negative-sampling-1907.05634</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-self-correctable-policies-and-value-functions-from-demonstrations-with-negative-sampling-1907.05634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-self-correctable-policies-and-value-functions-from-demonstrations-with-negative-sampling-1907.05634"/></url>
<url><loc>https://scifaro.com/en/abs/learning-functions-over-sets-via-permutation-adversarial-networks-1907.05638</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-functions-over-sets-via-permutation-adversarial-networks-1907.05638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-functions-over-sets-via-permutation-adversarial-networks-1907.05638"/></url>
<url><loc>https://scifaro.com/en/abs/saliency-maps-generation-for-automatic-text-summarization-1907.05664</loc><lastmod>2019-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/saliency-maps-generation-for-automatic-text-summarization-1907.05664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/saliency-maps-generation-for-automatic-text-summarization-1907.05664"/></url>
<url><loc>https://scifaro.com/en/abs/justifying-diagnosis-decisions-by-deep-neural-networks-1907.05671</loc><lastmod>2019-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/justifying-diagnosis-decisions-by-deep-neural-networks-1907.05671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/justifying-diagnosis-decisions-by-deep-neural-networks-1907.05671"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-lipschitz-regularization-1907.05681</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-lipschitz-regularization-1907.05681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-lipschitz-regularization-1907.05681"/></url>
<url><loc>https://scifaro.com/en/abs/shapley-q-value-a-local-reward-approach-to-solve-global-reward-games-1907.05707</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shapley-q-value-a-local-reward-approach-to-solve-global-reward-games-1907.05707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shapley-q-value-a-local-reward-approach-to-solve-global-reward-games-1907.05707"/></url>
<url><loc>https://scifaro.com/en/abs/order-and-chaos-ntk-views-on-dnn-normalization-checkerboard-and-boundary-artifacts-1907.05715</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/order-and-chaos-ntk-views-on-dnn-normalization-checkerboard-and-boundary-artifacts-1907.05715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/order-and-chaos-ntk-views-on-dnn-normalization-checkerboard-and-boundary-artifacts-1907.05715"/></url>
<url><loc>https://scifaro.com/en/abs/why-blocking-targeted-adversarial-perturbations-impairs-the-ability-to-learn-1907.05718</loc><lastmod>2019-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-blocking-targeted-adversarial-perturbations-impairs-the-ability-to-learn-1907.05718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-blocking-targeted-adversarial-perturbations-impairs-the-ability-to-learn-1907.05718"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-graph-embedding-for-multi-label-graph-node-classification-1907.05743</loc><lastmod>2019-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-graph-embedding-for-multi-label-graph-node-classification-1907.05743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-graph-embedding-for-multi-label-graph-node-classification-1907.05743"/></url>
<url><loc>https://scifaro.com/en/abs/exploration-by-optimisation-in-partial-monitoring-1907.05772</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploration-by-optimisation-in-partial-monitoring-1907.05772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploration-by-optimisation-in-partial-monitoring-1907.05772"/></url>
<url><loc>https://scifaro.com/en/abs/automated-real-time-anomaly-detection-in-human-trajectories-using-sequence-to-sequence-networks-1907.05813</loc><lastmod>2023-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-real-time-anomaly-detection-in-human-trajectories-using-sequence-to-sequence-networks-1907.05813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-real-time-anomaly-detection-in-human-trajectories-using-sequence-to-sequence-networks-1907.05813"/></url>
<url><loc>https://scifaro.com/en/abs/discorl-continual-reinforcement-learning-via-policy-distillation-1907.05855</loc><lastmod>2019-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discorl-continual-reinforcement-learning-via-policy-distillation-1907.05855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discorl-continual-reinforcement-learning-via-policy-distillation-1907.05855"/></url>
<url><loc>https://scifaro.com/en/abs/composing-neural-learning-and-symbolic-reasoning-with-an-application-to-visual-discrimination-1907.05878</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composing-neural-learning-and-symbolic-reasoning-with-an-application-to-visual-discrimination-1907.05878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composing-neural-learning-and-symbolic-reasoning-with-an-application-to-visual-discrimination-1907.05878"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-hesselm-and-inclined-entropy-measurement-for-congestive-heart-failure-prediction-1907.05888</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-hesselm-and-inclined-entropy-measurement-for-congestive-heart-failure-prediction-1907.05888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-hesselm-and-inclined-entropy-measurement-for-congestive-heart-failure-prediction-1907.05888"/></url>
<url><loc>https://scifaro.com/en/abs/vector-quantized-bayesian-neural-network-inference-for-data-streams-1907.05911</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vector-quantized-bayesian-neural-network-inference-for-data-streams-1907.05911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vector-quantized-bayesian-neural-network-inference-for-data-streams-1907.05911"/></url>
<url><loc>https://scifaro.com/en/abs/mipaal-mixed-integer-program-as-a-layer-1907.05912</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mipaal-mixed-integer-program-as-a-layer-1907.05912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mipaal-mixed-integer-program-as-a-layer-1907.05912"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-and-analysis-of-a-feature-subset-selection-technique-using-penguin-search-optimization-algorithm-fs-pesoa-1907.05943</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-and-analysis-of-a-feature-subset-selection-technique-using-penguin-search-optimization-algorithm-fs-pesoa-1907.05943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-and-analysis-of-a-feature-subset-selection-technique-using-penguin-search-optimization-algorithm-fs-pesoa-1907.05943"/></url>
<url><loc>https://scifaro.com/en/abs/the-futility-of-bias-free-learning-and-search-1907.06010</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-futility-of-bias-free-learning-and-search-1907.06010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-futility-of-bias-free-learning-and-search-1907.06010"/></url>
<url><loc>https://scifaro.com/en/abs/multiscale-principle-of-relevant-information-for-hyperspectral-image-classification-1907.06022</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiscale-principle-of-relevant-information-for-hyperspectral-image-classification-1907.06022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiscale-principle-of-relevant-information-for-hyperspectral-image-classification-1907.06022"/></url>
<url><loc>https://scifaro.com/en/abs/minimal-sample-subspace-learning-theory-and-algorithms-1907.06032</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimal-sample-subspace-learning-theory-and-algorithms-1907.06032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimal-sample-subspace-learning-theory-and-algorithms-1907.06032"/></url>
<url><loc>https://scifaro.com/en/abs/multi-element-long-distance-dependencies-using-spk-languages-to-explore-the-characteristics-of-long-distance-dependencies-1907.06048</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-element-long-distance-dependencies-using-spk-languages-to-explore-the-characteristics-of-long-distance-dependencies-1907.06048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-element-long-distance-dependencies-using-spk-languages-to-explore-the-characteristics-of-long-distance-dependencies-1907.06048"/></url>
<url><loc>https://scifaro.com/en/abs/aggregate-eliminate-predict-detecting-adverse-drug-events-from-heterogeneous-electronic-health-records-1907.06058</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregate-eliminate-predict-detecting-adverse-drug-events-from-heterogeneous-electronic-health-records-1907.06058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregate-eliminate-predict-detecting-adverse-drug-events-from-heterogeneous-electronic-health-records-1907.06058"/></url>
<url><loc>https://scifaro.com/en/abs/bringing-giant-neural-networks-down-to-earth-with-unlabeled-data-1907.06065</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bringing-giant-neural-networks-down-to-earth-with-unlabeled-data-1907.06065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bringing-giant-neural-networks-down-to-earth-with-unlabeled-data-1907.06065"/></url>
<url><loc>https://scifaro.com/en/abs/parameterized-exploration-1907.06090</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameterized-exploration-1907.06090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameterized-exploration-1907.06090"/></url>
<url><loc>https://scifaro.com/en/abs/preselection-bandits-1907.06123</loc><lastmod>2021-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preselection-bandits-1907.06123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preselection-bandits-1907.06123"/></url>
<url><loc>https://scifaro.com/en/abs/a-convergence-result-for-regularized-actor-critic-methods-1907.06138</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convergence-result-for-regularized-actor-critic-methods-1907.06138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convergence-result-for-regularized-actor-critic-methods-1907.06138"/></url>
<url><loc>https://scifaro.com/en/abs/neural-embedding-for-physical-manipulations-1907.06143</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-embedding-for-physical-manipulations-1907.06143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-embedding-for-physical-manipulations-1907.06143"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-the-uncertainty-in-electronic-health-records-a-bayesian-deep-learning-approach-1907.06162</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-the-uncertainty-in-electronic-health-records-a-bayesian-deep-learning-approach-1907.06162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-the-uncertainty-in-electronic-health-records-a-bayesian-deep-learning-approach-1907.06162"/></url>
<url><loc>https://scifaro.com/en/abs/compressed-subspace-learning-based-on-canonical-angle-preserving-property-1907.06166</loc><lastmod>2019-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressed-subspace-learning-based-on-canonical-angle-preserving-property-1907.06166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressed-subspace-learning-based-on-canonical-angle-preserving-property-1907.06166"/></url>
<url><loc>https://scifaro.com/en/abs/the-fast-algorithm-for-submodular-maximization-1907.06173</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-fast-algorithm-for-submodular-maximization-1907.06173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-fast-algorithm-for-submodular-maximization-1907.06173"/></url>
<url><loc>https://scifaro.com/en/abs/a-divide-and-conquer-approach-towards-understanding-deep-networks-1907.06194</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-divide-and-conquer-approach-towards-understanding-deep-networks-1907.06194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-divide-and-conquer-approach-towards-understanding-deep-networks-1907.06194"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-role-of-time-in-learning-1907.06198</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-role-of-time-in-learning-1907.06198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-role-of-time-in-learning-1907.06198"/></url>
<url><loc>https://scifaro.com/en/abs/task-selection-policies-for-multitask-learning-1907.06214</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-selection-policies-for-multitask-learning-1907.06214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-selection-policies-for-multitask-learning-1907.06214"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-global-convergence-of-actor-critic-a-case-for-linear-quadratic-regulator-with-ergodic-cost-1907.06246</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-global-convergence-of-actor-critic-a-case-for-linear-quadratic-regulator-with-ergodic-cost-1907.06246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-global-convergence-of-actor-critic-a-case-for-linear-quadratic-regulator-with-ergodic-cost-1907.06246"/></url>
<url><loc>https://scifaro.com/en/abs/more-supervision-less-computation-statistical-computational-tradeoffs-in-weakly-supervised-learning-1907.06257</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/more-supervision-less-computation-statistical-computational-tradeoffs-in-weakly-supervised-learning-1907.06257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/more-supervision-less-computation-statistical-computational-tradeoffs-in-weakly-supervised-learning-1907.06257"/></url>
<url><loc>https://scifaro.com/en/abs/improving-classification-performance-by-feature-space-transformations-and-model-selection-1907.06258</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-classification-performance-by-feature-space-transformations-and-model-selection-1907.06258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-classification-performance-by-feature-space-transformations-and-model-selection-1907.06258"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-reasoning-for-fair-clinical-risk-prediction-1907.06260</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-reasoning-for-fair-clinical-risk-prediction-1907.06260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-reasoning-for-fair-clinical-risk-prediction-1907.06260"/></url>
<url><loc>https://scifaro.com/en/abs/learning-neural-networks-with-adaptive-regularization-1907.06288</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-neural-networks-with-adaptive-regularization-1907.06288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-neural-networks-with-adaptive-regularization-1907.06288"/></url>
<url><loc>https://scifaro.com/en/abs/finite-time-performance-bounds-and-adaptive-learning-rate-selection-for-two-time-scale-reinforcement-learning-1907.06290</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-time-performance-bounds-and-adaptive-learning-rate-selection-for-two-time-scale-reinforcement-learning-1907.06290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-time-performance-bounds-and-adaptive-learning-rate-selection-for-two-time-scale-reinforcement-learning-1907.06290"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-the-transferability-of-adversarial-examples-1907.06291</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-the-transferability-of-adversarial-examples-1907.06291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-the-transferability-of-adversarial-examples-1907.06291"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-deep-anomaly-detection-methods-based-on-capsule-net-1907.06312</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-deep-anomaly-detection-methods-based-on-capsule-net-1907.06312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-deep-anomaly-detection-methods-based-on-capsule-net-1907.06312"/></url>
<url><loc>https://scifaro.com/en/abs/myers-briggs-personality-classification-and-personality-specific-language-generation-using-pre-trained-language-models-1907.06333</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/myers-briggs-personality-classification-and-personality-specific-language-generation-using-pre-trained-language-models-1907.06333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/myers-briggs-personality-classification-and-personality-specific-language-generation-using-pre-trained-language-models-1907.06333"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-active-learning-1907.06347</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-active-learning-1907.06347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-active-learning-1907.06347"/></url>
<url><loc>https://scifaro.com/en/abs/motorway-traffic-flow-prediction-using-advanced-deep-learning-1907.06356</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/motorway-traffic-flow-prediction-using-advanced-deep-learning-1907.06356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/motorway-traffic-flow-prediction-using-advanced-deep-learning-1907.06356"/></url>
<url><loc>https://scifaro.com/en/abs/what-does-it-mean-to-understand-a-neural-network-1907.06374</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-does-it-mean-to-understand-a-neural-network-1907.06374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-does-it-mean-to-understand-a-neural-network-1907.06374"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-online-prediction-in-the-presence-of-outliers-and-change-points-an-instant-temporal-structure-learning-approach-1907.06377</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-online-prediction-in-the-presence-of-outliers-and-change-points-an-instant-temporal-structure-learning-approach-1907.06377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-online-prediction-in-the-presence-of-outliers-and-change-points-an-instant-temporal-structure-learning-approach-1907.06377"/></url>
<url><loc>https://scifaro.com/en/abs/dynamical-systems-as-temporal-feature-spaces-1907.06382</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamical-systems-as-temporal-feature-spaces-1907.06382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamical-systems-as-temporal-feature-spaces-1907.06382"/></url>
<url><loc>https://scifaro.com/en/abs/a-dual-memory-structure-for-efficient-use-of-replay-memory-in-deep-reinforcement-learning-1907.06396</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dual-memory-structure-for-efficient-use-of-replay-memory-in-deep-reinforcement-learning-1907.06396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dual-memory-structure-for-efficient-use-of-replay-memory-in-deep-reinforcement-learning-1907.06396"/></url>
<url><loc>https://scifaro.com/en/abs/concept-centric-visual-turing-tests-for-method-validation-1907.06414</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-centric-visual-turing-tests-for-method-validation-1907.06414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-centric-visual-turing-tests-for-method-validation-1907.06414"/></url>
<url><loc>https://scifaro.com/en/abs/multi-hop-federated-private-data-augmentation-with-sample-compression-1907.06426</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-hop-federated-private-data-augmentation-with-sample-compression-1907.06426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-hop-federated-private-data-augmentation-with-sample-compression-1907.06426"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-policy-optimization-with-mixed-distributed-training-1907.06479</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-policy-optimization-with-mixed-distributed-training-1907.06479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-policy-optimization-with-mixed-distributed-training-1907.06479"/></url>
<url><loc>https://scifaro.com/en/abs/a-linear-systems-theory-of-normalizing-flows-1907.06496</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-linear-systems-theory-of-normalizing-flows-1907.06496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-linear-systems-theory-of-normalizing-flows-1907.06496"/></url>
<url><loc>https://scifaro.com/en/abs/federated-reinforcement-distillation-with-proxy-experience-memory-1907.06536</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-reinforcement-distillation-with-proxy-experience-memory-1907.06536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-reinforcement-distillation-with-proxy-experience-memory-1907.06536"/></url>
<url><loc>https://scifaro.com/en/abs/deep-network-as-memory-space-complexity-generalization-disentangled-representation-and-interpretability-1907.06572</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-network-as-memory-space-complexity-generalization-disentangled-representation-and-interpretability-1907.06572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-network-as-memory-space-complexity-generalization-disentangled-representation-and-interpretability-1907.06572"/></url>
<url><loc>https://scifaro.com/en/abs/amad-adversarial-multiscale-anomaly-detection-on-high-dimensional-and-time-evolving-categorical-data-1907.06582</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amad-adversarial-multiscale-anomaly-detection-on-high-dimensional-and-time-evolving-categorical-data-1907.06582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amad-adversarial-multiscale-anomaly-detection-on-high-dimensional-and-time-evolving-categorical-data-1907.06582"/></url>
<url><loc>https://scifaro.com/en/abs/environment-reconstruction-with-hidden-confounders-for-reinforcement-learning-based-recommendation-1907.06584</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/environment-reconstruction-with-hidden-confounders-for-reinforcement-learning-based-recommendation-1907.06584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/environment-reconstruction-with-hidden-confounders-for-reinforcement-learning-based-recommendation-1907.06584"/></url>
<url><loc>https://scifaro.com/en/abs/sparsely-activated-networks-1907.06592</loc><lastmod>2024-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsely-activated-networks-1907.06592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsely-activated-networks-1907.06592"/></url>
<url><loc>https://scifaro.com/en/abs/learning-one-hidden-layer-neural-networks-via-provable-gradient-descent-with-random-initialization-1907.06594</loc><lastmod>2019-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-one-hidden-layer-neural-networks-via-provable-gradient-descent-with-random-initialization-1907.06594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-one-hidden-layer-neural-networks-via-provable-gradient-descent-with-random-initialization-1907.06594"/></url>
<url><loc>https://scifaro.com/en/abs/medical-concept-representation-learning-from-claims-data-and-application-to-health-plan-payment-risk-adjustment-1907.06600</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/medical-concept-representation-learning-from-claims-data-and-application-to-health-plan-payment-risk-adjustment-1907.06600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/medical-concept-representation-learning-from-claims-data-and-application-to-health-plan-payment-risk-adjustment-1907.06600"/></url>
<url><loc>https://scifaro.com/en/abs/agglomerative-attention-1907.06607</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agglomerative-attention-1907.06607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agglomerative-attention-1907.06607"/></url>
<url><loc>https://scifaro.com/en/abs/revealing-posturographic-features-associated-with-the-risk-of-falling-in-patients-with-parkinsonian-syndromes-via-machine-learning-1907.06614</loc><lastmod>2019-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revealing-posturographic-features-associated-with-the-risk-of-falling-in-patients-with-parkinsonian-syndromes-via-machine-learning-1907.06614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revealing-posturographic-features-associated-with-the-risk-of-falling-in-patients-with-parkinsonian-syndromes-via-machine-learning-1907.06614"/></url>
<url><loc>https://scifaro.com/en/abs/batch-shaping-for-learning-conditional-channel-gated-networks-1907.06627</loc><lastmod>2020-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-shaping-for-learning-conditional-channel-gated-networks-1907.06627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-shaping-for-learning-conditional-channel-gated-networks-1907.06627"/></url>
<url><loc>https://scifaro.com/en/abs/metamorphic-testing-of-a-deep-learning-based-forecaster-1907.06632</loc><lastmod>2019-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metamorphic-testing-of-a-deep-learning-based-forecaster-1907.06632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metamorphic-testing-of-a-deep-learning-based-forecaster-1907.06632"/></url>
<url><loc>https://scifaro.com/en/abs/on-improving-learning-capability-of-elm-and-an-application-to-brain-computer-interface-1907.06633</loc><lastmod>2019-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-improving-learning-capability-of-elm-and-an-application-to-brain-computer-interface-1907.06633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-improving-learning-capability-of-elm-and-an-application-to-brain-computer-interface-1907.06633"/></url>
<url><loc>https://scifaro.com/en/abs/robust-variational-autoencoders-for-outlier-detection-and-repair-of-mixed-type-data-1907.06671</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-variational-autoencoders-for-outlier-detection-and-repair-of-mixed-type-data-1907.06671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-variational-autoencoders-for-outlier-detection-and-repair-of-mixed-type-data-1907.06671"/></url>
<url><loc>https://scifaro.com/en/abs/technical-report-partial-dependence-through-stratification-1907.06698</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/technical-report-partial-dependence-through-stratification-1907.06698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/technical-report-partial-dependence-through-stratification-1907.06698"/></url>
<url><loc>https://scifaro.com/en/abs/ppo-dash-improving-generalization-in-deep-reinforcement-learning-1907.06704</loc><lastmod>2019-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ppo-dash-improving-generalization-in-deep-reinforcement-learning-1907.06704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ppo-dash-improving-generalization-in-deep-reinforcement-learning-1907.06704"/></url>
<url><loc>https://scifaro.com/en/abs/pad-e-activation-units-end-to-end-learning-of-flexible-activation-functions-in-deep-networks-1907.06732</loc><lastmod>2020-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pad-e-activation-units-end-to-end-learning-of-flexible-activation-functions-in-deep-networks-1907.06732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pad-e-activation-units-end-to-end-learning-of-flexible-activation-functions-in-deep-networks-1907.06732"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-determination-through-local-intrinsic-dimensional-decomposition-theory-and-experimentation-1907.06771</loc><lastmod>2019-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-determination-through-local-intrinsic-dimensional-decomposition-theory-and-experimentation-1907.06771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-determination-through-local-intrinsic-dimensional-decomposition-theory-and-experimentation-1907.06771"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-autonomy-validation-in-simulation-with-adaptive-stress-testing-1907.06795</loc><lastmod>2019-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-autonomy-validation-in-simulation-with-adaptive-stress-testing-1907.06795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-autonomy-validation-in-simulation-with-adaptive-stress-testing-1907.06795"/></url>
<url><loc>https://scifaro.com/en/abs/graph-interpolating-activation-improves-both-natural-and-robust-accuracies-in-data-efficient-deep-learning-1907.06800</loc><lastmod>2019-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-interpolating-activation-improves-both-natural-and-robust-accuracies-in-data-efficient-deep-learning-1907.06800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-interpolating-activation-improves-both-natural-and-robust-accuracies-in-data-efficient-deep-learning-1907.06800"/></url>
<url><loc>https://scifaro.com/en/abs/a-quantum-inspired-algorithm-for-general-minimum-conical-hull-problems-1907.06814</loc><lastmod>2020-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-quantum-inspired-algorithm-for-general-minimum-conical-hull-problems-1907.06814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-quantum-inspired-algorithm-for-general-minimum-conical-hull-problems-1907.06814"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-explanation-without-ground-truth-in-interpretable-machine-learning-1907.06831</loc><lastmod>2019-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-explanation-without-ground-truth-in-interpretable-machine-learning-1907.06831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-explanation-without-ground-truth-in-interpretable-machine-learning-1907.06831"/></url>
<url><loc>https://scifaro.com/en/abs/an-inter-layer-weight-prediction-and-quantization-for-deep-neural-networks-based-on-a-smoothly-varying-weight-hypothesis-1907.06835</loc><lastmod>2020-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-inter-layer-weight-prediction-and-quantization-for-deep-neural-networks-based-on-a-smoothly-varying-weight-hypothesis-1907.06835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-inter-layer-weight-prediction-and-quantization-for-deep-neural-networks-based-on-a-smoothly-varying-weight-hypothesis-1907.06835"/></url>
<url><loc>https://scifaro.com/en/abs/a-self-attentive-model-for-knowledge-tracing-1907.06837</loc><lastmod>2019-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-self-attentive-model-for-knowledge-tracing-1907.06837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-self-attentive-model-for-knowledge-tracing-1907.06837"/></url>
<url><loc>https://scifaro.com/en/abs/improved-reinforcement-learning-through-imitation-learning-pretraining-towards-image-based-autonomous-driving-1907.06838</loc><lastmod>2019-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-reinforcement-learning-through-imitation-learning-pretraining-towards-image-based-autonomous-driving-1907.06838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-reinforcement-learning-through-imitation-learning-pretraining-towards-image-based-autonomous-driving-1907.06838"/></url>
<url><loc>https://scifaro.com/en/abs/the-quantum-version-of-classification-decision-tree-constructing-algorithm-c5-0-1907.06840</loc><lastmod>2024-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-quantum-version-of-classification-decision-tree-constructing-algorithm-c5-0-1907.06840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-quantum-version-of-classification-decision-tree-constructing-algorithm-c5-0-1907.06840"/></url>
<url><loc>https://scifaro.com/en/abs/light-multi-segment-activation-for-model-compression-1907.06870</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/light-multi-segment-activation-for-model-compression-1907.06870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/light-multi-segment-activation-for-model-compression-1907.06870"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-for-black-box-optimization-1907.06901</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-for-black-box-optimization-1907.06901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-for-black-box-optimization-1907.06901"/></url>
<url><loc>https://scifaro.com/en/abs/single-bit-per-weight-deep-convolutional-neural-networks-without-batch-normalization-layers-for-embedded-systems-1907.06916</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-bit-per-weight-deep-convolutional-neural-networks-without-batch-normalization-layers-for-embedded-systems-1907.06916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-bit-per-weight-deep-convolutional-neural-networks-without-batch-normalization-layers-for-embedded-systems-1907.06916"/></url>
<url><loc>https://scifaro.com/en/abs/the-bregman-tweedie-classification-model-1907.06923</loc><lastmod>2019-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-bregman-tweedie-classification-model-1907.06923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-bregman-tweedie-classification-model-1907.06923"/></url>
<url><loc>https://scifaro.com/en/abs/random-projections-and-sampling-algorithms-for-clustering-of-high-dimensional-polygonal-curves-1907.06969</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-projections-and-sampling-algorithms-for-clustering-of-high-dimensional-polygonal-curves-1907.06969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-projections-and-sampling-algorithms-for-clustering-of-high-dimensional-polygonal-curves-1907.06969"/></url>
<url><loc>https://scifaro.com/en/abs/latent-adversarial-defence-with-boundary-guided-generation-1907.07001</loc><lastmod>2019-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-adversarial-defence-with-boundary-guided-generation-1907.07001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-adversarial-defence-with-boundary-guided-generation-1907.07001"/></url>
<url><loc>https://scifaro.com/en/abs/structured-variational-inference-in-unstable-gaussian-process-state-space-models-1907.07035</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-variational-inference-in-unstable-gaussian-process-state-space-models-1907.07035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-variational-inference-in-unstable-gaussian-process-state-space-models-1907.07035"/></url>
<url><loc>https://scifaro.com/en/abs/sgd-momentum-optimizer-with-step-estimation-by-online-parabola-model-1907.07063</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgd-momentum-optimizer-with-step-estimation-by-online-parabola-model-1907.07063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgd-momentum-optimizer-with-step-estimation-by-online-parabola-model-1907.07063"/></url>
<url><loc>https://scifaro.com/en/abs/selection-heuristics-on-semantic-genetic-programming-for-classification-problems-1907.07066</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selection-heuristics-on-semantic-genetic-programming-for-classification-problems-1907.07066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selection-heuristics-on-semantic-genetic-programming-for-classification-problems-1907.07066"/></url>
<url><loc>https://scifaro.com/en/abs/topology-based-scalable-graph-kernels-1907.07129</loc><lastmod>2019-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topology-based-scalable-graph-kernels-1907.07129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topology-based-scalable-graph-kernels-1907.07129"/></url>
<url><loc>https://scifaro.com/en/abs/the-tradeoff-between-privacy-and-accuracy-in-anomaly-detection-using-federated-xgboost-1907.07157</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-tradeoff-between-privacy-and-accuracy-in-anomaly-detection-using-federated-xgboost-1907.07157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-tradeoff-between-privacy-and-accuracy-in-anomaly-detection-using-federated-xgboost-1907.07157"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-classifiers-with-causal-concept-effect-cace-1907.07165</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-classifiers-with-causal-concept-effect-cace-1907.07165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-classifiers-with-causal-concept-effect-cace-1907.07165"/></url>
<url><loc>https://scifaro.com/en/abs/natural-adversarial-examples-1907.07174</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-adversarial-examples-1907.07174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-adversarial-examples-1907.07174"/></url>
<url><loc>https://scifaro.com/en/abs/online-local-boosting-improving-performance-in-online-decision-trees-1907.07207</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-local-boosting-improving-performance-in-online-decision-trees-1907.07207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-local-boosting-improving-performance-in-online-decision-trees-1907.07207"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multimodal-fixed-point-weights-using-gradient-descent-1907.07220</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multimodal-fixed-point-weights-using-gradient-descent-1907.07220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multimodal-fixed-point-weights-using-gradient-descent-1907.07220"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-enhancing-interventions-in-stream-classification-1907.07223</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-enhancing-interventions-in-stream-classification-1907.07223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-enhancing-interventions-in-stream-classification-1907.07223"/></url>
<url><loc>https://scifaro.com/en/abs/deeptrax-embedding-graphs-of-financial-transactions-1907.07225</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeptrax-embedding-graphs-of-financial-transactions-1907.07225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeptrax-embedding-graphs-of-financial-transactions-1907.07225"/></url>
<url><loc>https://scifaro.com/en/abs/faht-an-adaptive-fairness-aware-decision-tree-classifier-1907.07237</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faht-an-adaptive-fairness-aware-decision-tree-classifier-1907.07237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faht-an-adaptive-fairness-aware-decision-tree-classifier-1907.07237"/></url>
<url><loc>https://scifaro.com/en/abs/an-inductive-synthesis-framework-for-verifiable-reinforcement-learning-1907.07273</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-inductive-synthesis-framework-for-verifiable-reinforcement-learning-1907.07273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-inductive-synthesis-framework-for-verifiable-reinforcement-learning-1907.07273"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-generalization-in-gradient-based-meta-learning-1907.07287</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-generalization-in-gradient-based-meta-learning-1907.07287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-generalization-in-gradient-based-meta-learning-1907.07287"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-security-attacks-and-perturbations-on-machine-learning-and-deep-learning-methods-1907.07291</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-security-attacks-and-perturbations-on-machine-learning-and-deep-learning-methods-1907.07291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-security-attacks-and-perturbations-on-machine-learning-and-deep-learning-methods-1907.07291"/></url>
<url><loc>https://scifaro.com/en/abs/an-embedding-framework-for-consistent-polyhedral-surrogates-1907.07330</loc><lastmod>2022-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-embedding-framework-for-consistent-polyhedral-surrogates-1907.07330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-embedding-framework-for-consistent-polyhedral-surrogates-1907.07330"/></url>
<url><loc>https://scifaro.com/en/abs/learnability-for-the-information-bottleneck-1907.07331</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learnability-for-the-information-bottleneck-1907.07331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learnability-for-the-information-bottleneck-1907.07331"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-explainable-artificial-intelligence-xai-towards-medical-xai-1907.07374</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-explainable-artificial-intelligence-xai-towards-medical-xai-1907.07374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-explainable-artificial-intelligence-xai-towards-medical-xai-1907.07374"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-via-mutual-information-new-theoretical-insights-1907.07384</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-via-mutual-information-new-theoretical-insights-1907.07384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-via-mutual-information-new-theoretical-insights-1907.07384"/></url>
<url><loc>https://scifaro.com/en/abs/block-based-singular-value-decomposition-approach-to-matrix-factorization-for-recommender-systems-1907.07410</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-based-singular-value-decomposition-approach-to-matrix-factorization-for-recommender-systems-1907.07410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-based-singular-value-decomposition-approach-to-matrix-factorization-for-recommender-systems-1907.07410"/></url>
<url><loc>https://scifaro.com/en/abs/t-k-means-a-robust-and-stable-k-means-variant-1907.07442</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/t-k-means-a-robust-and-stable-k-means-variant-1907.07442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/t-k-means-a-robust-and-stable-k-means-variant-1907.07442"/></url>
<url><loc>https://scifaro.com/en/abs/improving-outbreak-detection-with-stacking-of-statistical-surveillance-methods-1907.07464</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-outbreak-detection-with-stacking-of-statistical-surveillance-methods-1907.07464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-outbreak-detection-with-stacking-of-statistical-surveillance-methods-1907.07464"/></url>
<url><loc>https://scifaro.com/en/abs/remaining-useful-lifetime-prediction-via-deep-domain-adaptation-1907.07480</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/remaining-useful-lifetime-prediction-via-deep-domain-adaptation-1907.07480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/remaining-useful-lifetime-prediction-via-deep-domain-adaptation-1907.07480"/></url>
<url><loc>https://scifaro.com/en/abs/improving-heart-rate-variability-measurements-from-consumer-smartwatches-with-machine-learning-1907.07496</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-heart-rate-variability-measurements-from-consumer-smartwatches-with-machine-learning-1907.07496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-heart-rate-variability-measurements-from-consumer-smartwatches-with-machine-learning-1907.07496"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-inference-for-bayesian-deep-learning-1907.07504</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-inference-for-bayesian-deep-learning-1907.07504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-inference-for-bayesian-deep-learning-1907.07504"/></url>
<url><loc>https://scifaro.com/en/abs/low-shot-classification-a-comparison-of-classical-and-deep-transfer-machine-learning-approaches-1907.07543</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-shot-classification-a-comparison-of-classical-and-deep-transfer-machine-learning-approaches-1907.07543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-shot-classification-a-comparison-of-classical-and-deep-transfer-machine-learning-approaches-1907.07543"/></url>
<url><loc>https://scifaro.com/en/abs/self-attentive-hawkes-processes-1907.07561</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-attentive-hawkes-processes-1907.07561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-attentive-hawkes-processes-1907.07561"/></url>
<url><loc>https://scifaro.com/en/abs/aquasight-automatic-water-impurity-detection-utilizing-convolutional-neural-networks-1907.07573</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aquasight-automatic-water-impurity-detection-utilizing-convolutional-neural-networks-1907.07573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aquasight-automatic-water-impurity-detection-utilizing-convolutional-neural-networks-1907.07573"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-uncertainty-in-document-classification-1907.07590</loc><lastmod>2019-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-uncertainty-in-document-classification-1907.07590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-uncertainty-in-document-classification-1907.07590"/></url>
<url><loc>https://scifaro.com/en/abs/network-based-pricing-for-3d-printing-services-in-two-sided-manufacturing-as-a-service-marketplace-1907.07673</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-based-pricing-for-3d-printing-services-in-two-sided-manufacturing-as-a-service-marketplace-1907.07673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-based-pricing-for-3d-printing-services-in-two-sided-manufacturing-as-a-service-marketplace-1907.07673"/></url>
<url><loc>https://scifaro.com/en/abs/competing-against-equilibria-in-zero-sum-games-with-evolving-payoffs-1907.07723</loc><lastmod>2020-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/competing-against-equilibria-in-zero-sum-games-with-evolving-payoffs-1907.07723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/competing-against-equilibria-in-zero-sum-games-with-evolving-payoffs-1907.07723"/></url>
<url><loc>https://scifaro.com/en/abs/learning-privately-over-distributed-features-an-admm-sharing-approach-1907.07735</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-privately-over-distributed-features-an-admm-sharing-approach-1907.07735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-privately-over-distributed-features-an-admm-sharing-approach-1907.07735"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multi-view-learning-via-task-optimal-cca-1907.07739</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multi-view-learning-via-task-optimal-cca-1907.07739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multi-view-learning-via-task-optimal-cca-1907.07739"/></url>
<url><loc>https://scifaro.com/en/abs/deep-invertible-networks-for-eeg-based-brain-signal-decoding-1907.07746</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-invertible-networks-for-eeg-based-brain-signal-decoding-1907.07746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-invertible-networks-for-eeg-based-brain-signal-decoding-1907.07746"/></url>
<url><loc>https://scifaro.com/en/abs/meta-descent-for-online-continual-prediction-1907.07751</loc><lastmod>2019-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-descent-for-online-continual-prediction-1907.07751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-descent-for-online-continual-prediction-1907.07751"/></url>
<url><loc>https://scifaro.com/en/abs/product-aesthetic-design-a-machine-learning-augmentation-1907.07786</loc><lastmod>2022-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/product-aesthetic-design-a-machine-learning-augmentation-1907.07786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/product-aesthetic-design-a-machine-learning-augmentation-1907.07786"/></url>
<url><loc>https://scifaro.com/en/abs/multi-purposing-domain-adaptation-discriminators-for-pseudo-labeling-confidence-1907.07802</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-purposing-domain-adaptation-discriminators-for-pseudo-labeling-confidence-1907.07802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-purposing-domain-adaptation-discriminators-for-pseudo-labeling-confidence-1907.07802"/></url>
<url><loc>https://scifaro.com/en/abs/omninet-a-unified-architecture-for-multi-modal-multi-task-learning-1907.07804</loc><lastmod>2020-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/omninet-a-unified-architecture-for-multi-modal-multi-task-learning-1907.07804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/omninet-a-unified-architecture-for-multi-modal-multi-task-learning-1907.07804"/></url>
<url><loc>https://scifaro.com/en/abs/prioritized-guidance-for-efficient-multi-agent-reinforcement-learning-exploration-1907.07847</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prioritized-guidance-for-efficient-multi-agent-reinforcement-learning-exploration-1907.07847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prioritized-guidance-for-efficient-multi-agent-reinforcement-learning-exploration-1907.07847"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoder-based-incremental-class-learning-without-retraining-on-old-data-1907.07872</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoder-based-incremental-class-learning-without-retraining-on-old-data-1907.07872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoder-based-incremental-class-learning-without-retraining-on-old-data-1907.07872"/></url>
<url><loc>https://scifaro.com/en/abs/neural-shuffle-exchange-networks-sequence-processing-in-o-n-log-n-time-1907.07897</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-shuffle-exchange-networks-sequence-processing-in-o-n-log-n-time-1907.07897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-shuffle-exchange-networks-sequence-processing-in-o-n-log-n-time-1907.07897"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-relation-between-loss-functions-and-t-norms-1907.07904</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-relation-between-loss-functions-and-t-norms-1907.07904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-relation-between-loss-functions-and-t-norms-1907.07904"/></url>
<url><loc>https://scifaro.com/en/abs/mintnet-building-invertible-neural-networks-with-masked-convolutions-1907.07945</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mintnet-building-invertible-neural-networks-with-masked-convolutions-1907.07945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mintnet-building-invertible-neural-networks-with-masked-convolutions-1907.07945"/></url>
<url><loc>https://scifaro.com/en/abs/self-attentional-credit-assignment-for-transfer-in-reinforcement-learning-1907.08027</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-attentional-credit-assignment-for-transfer-in-reinforcement-learning-1907.08027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-attentional-credit-assignment-for-transfer-in-reinforcement-learning-1907.08027"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-reservoir-computing-for-world-models-1907.08040</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-reservoir-computing-for-world-models-1907.08040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-reservoir-computing-for-world-models-1907.08040"/></url>
<url><loc>https://scifaro.com/en/abs/federated-principal-component-analysis-1907.08059</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-principal-component-analysis-1907.08059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-principal-component-analysis-1907.08059"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-regressor-chains-with-monte-carlo-methods-1907.08087</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-regressor-chains-with-monte-carlo-methods-1907.08087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-regressor-chains-with-monte-carlo-methods-1907.08087"/></url>
<url><loc>https://scifaro.com/en/abs/automating-concept-drift-detection-by-self-evaluating-predictive-model-degradation-1907.08120</loc><lastmod>2019-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automating-concept-drift-detection-by-self-evaluating-predictive-model-degradation-1907.08120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automating-concept-drift-detection-by-self-evaluating-predictive-model-degradation-1907.08120"/></url>
<url><loc>https://scifaro.com/en/abs/dynamical-distance-learning-for-semi-supervised-and-unsupervised-skill-discovery-1907.08225</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamical-distance-learning-for-semi-supervised-and-unsupervised-skill-discovery-1907.08225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamical-distance-learning-for-semi-supervised-and-unsupervised-skill-discovery-1907.08225"/></url>
<url><loc>https://scifaro.com/en/abs/who-is-afraid-of-big-bad-minima-analysis-of-gradient-flow-in-a-spiked-matrix-tensor-model-1907.08226</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/who-is-afraid-of-big-bad-minima-analysis-of-gradient-flow-in-a-spiked-matrix-tensor-model-1907.08226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/who-is-afraid-of-big-bad-minima-analysis-of-gradient-flow-in-a-spiked-matrix-tensor-model-1907.08226"/></url>
<url><loc>https://scifaro.com/en/abs/writerforcing-generating-more-interesting-story-endings-1907.08259</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/writerforcing-generating-more-interesting-story-endings-1907.08259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/writerforcing-generating-more-interesting-story-endings-1907.08259"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-object-generation-with-reversible-inductive-construction-1907.08268</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-object-generation-with-reversible-inductive-construction-1907.08268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-object-generation-with-reversible-inductive-construction-1907.08268"/></url>
<url><loc>https://scifaro.com/en/abs/exact-recovery-of-tensor-robust-principal-component-analysis-under-linear-transforms-1907.08288</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-recovery-of-tensor-robust-principal-component-analysis-under-linear-transforms-1907.08288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-recovery-of-tensor-robust-principal-component-analysis-under-linear-transforms-1907.08288"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-deep-learning-1907.08292</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-deep-learning-1907.08292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-deep-learning-1907.08292"/></url>
<url><loc>https://scifaro.com/en/abs/xfernas-transfer-neural-architecture-search-1907.08307</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xfernas-transfer-neural-architecture-search-1907.08307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xfernas-transfer-neural-architecture-search-1907.08307"/></url>
<url><loc>https://scifaro.com/en/abs/sentimate-learning-to-play-chess-through-natural-language-processing-1907.08321</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sentimate-learning-to-play-chess-through-natural-language-processing-1907.08321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sentimate-learning-to-play-chess-through-natural-language-processing-1907.08321"/></url>
<url><loc>https://scifaro.com/en/abs/mimic-extract-a-data-extraction-preprocessing-and-representation-pipeline-for-mimic-iii-1907.08322</loc><lastmod>2020-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mimic-extract-a-data-extraction-preprocessing-and-representation-pipeline-for-mimic-iii-1907.08322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mimic-extract-a-data-extraction-preprocessing-and-representation-pipeline-for-mimic-iii-1907.08322"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-topological-data-analysis-and-visualization-for-evaluating-data-driven-models-in-scientific-applications-1907.08325</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-topological-data-analysis-and-visualization-for-evaluating-data-driven-models-in-scientific-applications-1907.08325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-topological-data-analysis-and-visualization-for-evaluating-data-driven-models-in-scientific-applications-1907.08325"/></url>
<url><loc>https://scifaro.com/en/abs/toxicity-prediction-by-multimodal-deep-learning-1907.08333</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toxicity-prediction-by-multimodal-deep-learning-1907.08333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toxicity-prediction-by-multimodal-deep-learning-1907.08333"/></url>
<url><loc>https://scifaro.com/en/abs/when-can-we-improve-on-sample-average-approximation-for-stochastic-optimization-1907.08334</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-can-we-improve-on-sample-average-approximation-for-stochastic-optimization-1907.08334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-can-we-improve-on-sample-average-approximation-for-stochastic-optimization-1907.08334"/></url>
<url><loc>https://scifaro.com/en/abs/open-set-domain-adaptation-theoretical-bound-and-algorithm-1907.08375</loc><lastmod>2020-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-set-domain-adaptation-theoretical-bound-and-algorithm-1907.08375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-set-domain-adaptation-theoretical-bound-and-algorithm-1907.08375"/></url>
<url><loc>https://scifaro.com/en/abs/daimon-a-decentralized-artificial-intelligence-model-network-1907.08377</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/daimon-a-decentralized-artificial-intelligence-model-network-1907.08377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/daimon-a-decentralized-artificial-intelligence-model-network-1907.08377"/></url>
<url><loc>https://scifaro.com/en/abs/automated-machine-learning-in-practice-state-of-the-art-and-recent-results-1907.08392</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-machine-learning-in-practice-state-of-the-art-and-recent-results-1907.08392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-machine-learning-in-practice-state-of-the-art-and-recent-results-1907.08392"/></url>
<url><loc>https://scifaro.com/en/abs/towards-learning-universal-regional-and-local-hydrological-behaviors-via-machine-learning-applied-to-large-sample-datasets-1907.08456</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-learning-universal-regional-and-local-hydrological-behaviors-via-machine-learning-applied-to-large-sample-datasets-1907.08456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-learning-universal-regional-and-local-hydrological-behaviors-via-machine-learning-applied-to-large-sample-datasets-1907.08456"/></url>
<url><loc>https://scifaro.com/en/abs/delegative-reinforcement-learning-learning-to-avoid-traps-with-a-little-help-1907.08461</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delegative-reinforcement-learning-learning-to-avoid-traps-with-a-little-help-1907.08461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delegative-reinforcement-learning-learning-to-avoid-traps-with-a-little-help-1907.08461"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-reinforcement-learning-through-gpu-atari-emulation-1907.08467</loc><lastmod>2020-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-reinforcement-learning-through-gpu-atari-emulation-1907.08467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-reinforcement-learning-through-gpu-atari-emulation-1907.08467"/></url>
<url><loc>https://scifaro.com/en/abs/representational-capacity-of-deep-neural-networks-a-computing-study-1907.08475</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representational-capacity-of-deep-neural-networks-a-computing-study-1907.08475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representational-capacity-of-deep-neural-networks-a-computing-study-1907.08475"/></url>
<url><loc>https://scifaro.com/en/abs/post-synaptic-potential-regularization-has-potential-1907.08544</loc><lastmod>2022-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-synaptic-potential-regularization-has-potential-1907.08544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-synaptic-potential-regularization-has-potential-1907.08544"/></url>
<url><loc>https://scifaro.com/en/abs/d-gan-deep-generative-adversarial-nets-for-spatio-temporal-prediction-1907.08556</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/d-gan-deep-generative-adversarial-nets-for-spatio-temporal-prediction-1907.08556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/d-gan-deep-generative-adversarial-nets-for-spatio-temporal-prediction-1907.08556"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-analysis-of-latent-representations-1907.08589</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-analysis-of-latent-representations-1907.08589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-analysis-of-latent-representations-1907.08589"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparsity-in-reservoir-computing-through-a-novel-bio-inspired-algorithm-1907.08600</loc><lastmod>2019-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparsity-in-reservoir-computing-through-a-novel-bio-inspired-algorithm-1907.08600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparsity-in-reservoir-computing-through-a-novel-bio-inspired-algorithm-1907.08600"/></url>
<url><loc>https://scifaro.com/en/abs/lookahead-optimizer-k-steps-forward-1-step-back-1907.08610</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lookahead-optimizer-k-steps-forward-1-step-back-1907.08610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lookahead-optimizer-k-steps-forward-1-step-back-1907.08610"/></url>
<url><loc>https://scifaro.com/en/abs/snomed2vec-random-walk-and-poincar-e-embeddings-of-a-clinical-knowledge-base-for-healthcare-analytics-1907.08650</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/snomed2vec-random-walk-and-poincar-e-embeddings-of-a-clinical-knowledge-base-for-healthcare-analytics-1907.08650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/snomed2vec-random-walk-and-poincar-e-embeddings-of-a-clinical-knowledge-base-for-healthcare-analytics-1907.08650"/></url>
<url><loc>https://scifaro.com/en/abs/hyperparameter-optimisation-with-early-termination-of-poor-performers-1907.08651</loc><lastmod>2019-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperparameter-optimisation-with-early-termination-of-poor-performers-1907.08651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperparameter-optimisation-with-early-termination-of-poor-performers-1907.08651"/></url>
<url><loc>https://scifaro.com/en/abs/improving-skip-gram-based-graph-embeddings-via-centrality-weighted-sampling-1907.08793</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-skip-gram-based-graph-embeddings-via-centrality-weighted-sampling-1907.08793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-skip-gram-based-graph-embeddings-via-centrality-weighted-sampling-1907.08793"/></url>
<url><loc>https://scifaro.com/en/abs/potential-based-advice-for-stochastic-policy-learning-1907.08823</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/potential-based-advice-for-stochastic-policy-learning-1907.08823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/potential-based-advice-for-stochastic-policy-learning-1907.08823"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-comparison-of-independence-structures-of-log-linear-models-1907.08892</loc><lastmod>2022-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-comparison-of-independence-structures-of-log-linear-models-1907.08892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-comparison-of-independence-structures-of-log-linear-models-1907.08892"/></url>
<url><loc>https://scifaro.com/en/abs/techniques-for-automated-machine-learning-1907.08908</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/techniques-for-automated-machine-learning-1907.08908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/techniques-for-automated-machine-learning-1907.08908"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-weight-decay-for-deep-neural-networks-1907.08931</loc><lastmod>2019-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-weight-decay-for-deep-neural-networks-1907.08931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-weight-decay-for-deep-neural-networks-1907.08931"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-via-supervised-dimension-reduction-1907.08953</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-via-supervised-dimension-reduction-1907.08953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-via-supervised-dimension-reduction-1907.08953"/></url>
<url><loc>https://scifaro.com/en/abs/tutorial-deriving-the-standard-variational-autoencoder-vae-loss-function-1907.08956</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tutorial-deriving-the-standard-variational-autoencoder-vae-loss-function-1907.08956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tutorial-deriving-the-standard-variational-autoencoder-vae-loss-function-1907.08956"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-physics-informed-neural-network-for-data-efficient-solution-to-partial-differential-equations-1907.08967</loc><lastmod>2024-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-physics-informed-neural-network-for-data-efficient-solution-to-partial-differential-equations-1907.08967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-physics-informed-neural-network-for-data-efficient-solution-to-partial-differential-equations-1907.08967"/></url>
<url><loc>https://scifaro.com/en/abs/infant-mortality-prediction-using-birth-certificate-data-1907.08968</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infant-mortality-prediction-using-birth-certificate-data-1907.08968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infant-mortality-prediction-using-birth-certificate-data-1907.08968"/></url>
<url><loc>https://scifaro.com/en/abs/are-you-convinced-choosing-the-more-convincing-evidence-with-a-siamese-network-1907.08971</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-you-convinced-choosing-the-more-convincing-evidence-with-a-siamese-network-1907.08971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-you-convinced-choosing-the-more-convincing-evidence-with-a-siamese-network-1907.08971"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-based-graph-convolutional-network-for-directed-graphs-1907.08990</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-based-graph-convolutional-network-for-directed-graphs-1907.08990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-based-graph-convolutional-network-for-directed-graphs-1907.08990"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-autonomous-internet-of-things-model-applications-and-challenges-1907.09059</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-autonomous-internet-of-things-model-applications-and-challenges-1907.09059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-autonomous-internet-of-things-model-applications-and-challenges-1907.09059"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-adversarial-robustness-through-loss-landscape-geometries-1907.09061</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-adversarial-robustness-through-loss-landscape-geometries-1907.09061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-adversarial-robustness-through-loss-landscape-geometries-1907.09061"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-novelty-driven-neural-architecture-search-1907.09109</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-novelty-driven-neural-architecture-search-1907.09109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-novelty-driven-neural-architecture-search-1907.09109"/></url>
<url><loc>https://scifaro.com/en/abs/learning-piecewise-lipschitz-functions-in-changing-environments-1907.09137</loc><lastmod>2020-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-piecewise-lipschitz-functions-in-changing-environments-1907.09137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-piecewise-lipschitz-functions-in-changing-environments-1907.09137"/></url>
<url><loc>https://scifaro.com/en/abs/fedhealth-a-federated-transfer-learning-framework-for-wearable-healthcare-1907.09173</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedhealth-a-federated-transfer-learning-framework-for-wearable-healthcare-1907.09173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedhealth-a-federated-transfer-learning-framework-for-wearable-healthcare-1907.09173"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-time-series-forecasting-the-electric-load-case-1907.09207</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-time-series-forecasting-the-electric-load-case-1907.09207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-time-series-forecasting-the-electric-load-case-1907.09207"/></url>
<url><loc>https://scifaro.com/en/abs/ensyth-a-pruning-approach-to-synthesis-of-deep-learning-ensembles-1907.09286</loc><lastmod>2020-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensyth-a-pruning-approach-to-synthesis-of-deep-learning-ensembles-1907.09286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensyth-a-pruning-approach-to-synthesis-of-deep-learning-ensembles-1907.09286"/></url>
<url><loc>https://scifaro.com/en/abs/the-dangers-of-post-hoc-interpretability-unjustified-counterfactual-explanations-1907.09294</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-dangers-of-post-hoc-interpretability-unjustified-counterfactual-explanations-1907.09294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-dangers-of-post-hoc-interpretability-unjustified-counterfactual-explanations-1907.09294"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-policy-learning-for-non-stationary-mdps-under-adversarial-manipulation-1907.09350</loc><lastmod>2019-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-policy-learning-for-non-stationary-mdps-under-adversarial-manipulation-1907.09350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-policy-learning-for-non-stationary-mdps-under-adversarial-manipulation-1907.09350"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-deep-learning-with-arbitrary-communication-compression-1907.09356</loc><lastmod>2020-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-deep-learning-with-arbitrary-communication-compression-1907.09356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-deep-learning-with-arbitrary-communication-compression-1907.09356"/></url>
<url><loc>https://scifaro.com/en/abs/a-systematic-mapping-study-on-testing-of-machine-learning-programs-1907.09427</loc><lastmod>2019-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-systematic-mapping-study-on-testing-of-machine-learning-programs-1907.09427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-systematic-mapping-study-on-testing-of-machine-learning-programs-1907.09427"/></url>
<url><loc>https://scifaro.com/en/abs/an-actor-critic-attention-mechanism-for-deep-reinforcement-learning-in-multi-view-environments-1907.09466</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-actor-critic-attention-mechanism-for-deep-reinforcement-learning-in-multi-view-environments-1907.09466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-actor-critic-attention-mechanism-for-deep-reinforcement-learning-in-multi-view-environments-1907.09466"/></url>
<url><loc>https://scifaro.com/en/abs/arena-a-toolkit-for-multi-agent-reinforcement-learning-1907.09467</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arena-a-toolkit-for-multi-agent-reinforcement-learning-1907.09467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arena-a-toolkit-for-multi-agent-reinforcement-learning-1907.09467"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-attacks-on-deep-reinforcement-learning-1907.09470</loc><lastmod>2022-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-attacks-on-deep-reinforcement-learning-1907.09470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-attacks-on-deep-reinforcement-learning-1907.09470"/></url>
<url><loc>https://scifaro.com/en/abs/model-adaptation-via-model-interpolation-and-boosting-for-web-search-ranking-1907.09471</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-adaptation-via-model-interpolation-and-boosting-for-web-search-ranking-1907.09471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-adaptation-via-model-interpolation-and-boosting-for-web-search-ranking-1907.09471"/></url>
<url><loc>https://scifaro.com/en/abs/design-of-one-year-mortality-forecast-at-hospital-admission-based-a-machine-learning-approach-1907.09474</loc><lastmod>2021-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/design-of-one-year-mortality-forecast-at-hospital-admission-based-a-machine-learning-approach-1907.09474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/design-of-one-year-mortality-forecast-at-hospital-admission-based-a-machine-learning-approach-1907.09474"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-clinical-decision-support-a-brief-survey-1907.09475</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-clinical-decision-support-a-brief-survey-1907.09475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-clinical-decision-support-a-brief-survey-1907.09475"/></url>
<url><loc>https://scifaro.com/en/abs/isonn-isomorphic-neural-network-for-graph-representation-learning-and-classification-1907.09495</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/isonn-isomorphic-neural-network-for-graph-representation-learning-and-classification-1907.09495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/isonn-isomorphic-neural-network-for-graph-representation-learning-and-classification-1907.09495"/></url>
<url><loc>https://scifaro.com/en/abs/reservoir-computing-models-for-patient-adaptable-ecg-monitoring-in-wearable-devices-1907.09504</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reservoir-computing-models-for-patient-adaptable-ecg-monitoring-in-wearable-devices-1907.09504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reservoir-computing-models-for-patient-adaptable-ecg-monitoring-in-wearable-devices-1907.09504"/></url>
<url><loc>https://scifaro.com/en/abs/behrt-transformer-for-electronic-health-records-1907.09538</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/behrt-transformer-for-electronic-health-records-1907.09538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/behrt-transformer-for-electronic-health-records-1907.09538"/></url>
<url><loc>https://scifaro.com/en/abs/channel-normalization-in-convolutional-neural-network-avoids-vanishing-gradients-1907.09539</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/channel-normalization-in-convolutional-neural-network-avoids-vanishing-gradients-1907.09539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/channel-normalization-in-convolutional-neural-network-avoids-vanishing-gradients-1907.09539"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-sensitivity-analysis-for-urban-land-use-prediction-with-physics-constrained-conditional-generative-adversarial-networks-1907.09543</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-sensitivity-analysis-for-urban-land-use-prediction-with-physics-constrained-conditional-generative-adversarial-networks-1907.09543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-sensitivity-analysis-for-urban-land-use-prediction-with-physics-constrained-conditional-generative-adversarial-networks-1907.09543"/></url>
<url><loc>https://scifaro.com/en/abs/relational-generalized-few-shot-learning-1907.09557</loc><lastmod>2020-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-generalized-few-shot-learning-1907.09557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-generalized-few-shot-learning-1907.09557"/></url>
<url><loc>https://scifaro.com/en/abs/practical-newton-type-distributed-learning-using-gradient-based-approximations-1907.09562</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-newton-type-distributed-learning-using-gradient-based-approximations-1907.09562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-newton-type-distributed-learning-using-gradient-based-approximations-1907.09562"/></url>
<url><loc>https://scifaro.com/en/abs/memnet-memory-efficiency-guided-neural-architecture-search-with-augment-trim-learning-1907.09569</loc><lastmod>2020-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memnet-memory-efficiency-guided-neural-architecture-search-with-augment-trim-learning-1907.09569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memnet-memory-efficiency-guided-neural-architecture-search-with-augment-trim-learning-1907.09569"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-embeddings-of-laboratory-test-codes-for-patients-at-a-cancer-center-1907.09600</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-embeddings-of-laboratory-test-codes-for-patients-at-a-cancer-center-1907.09600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-embeddings-of-laboratory-test-codes-for-patients-at-a-cancer-center-1907.09600"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-by-disentangling-and-self-ensembling-over-stochastic-latent-space-1907.09607</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-by-disentangling-and-self-ensembling-over-stochastic-latent-space-1907.09607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-by-disentangling-and-self-ensembling-over-stochastic-latent-space-1907.09607"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-and-decremental-fuzzy-bounded-twin-support-vector-machine-1907.09613</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-and-decremental-fuzzy-bounded-twin-support-vector-machine-1907.09613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-and-decremental-fuzzy-bounded-twin-support-vector-machine-1907.09613"/></url>
<url><loc>https://scifaro.com/en/abs/towards-realistic-individual-recourse-and-actionable-explanations-in-black-box-decision-making-systems-1907.09615</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-realistic-individual-recourse-and-actionable-explanations-in-black-box-decision-making-systems-1907.09615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-realistic-individual-recourse-and-actionable-explanations-in-black-box-decision-making-systems-1907.09615"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-robust-off-policy-evaluation-with-shrinkage-1907.09623</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-robust-off-policy-evaluation-with-shrinkage-1907.09623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-robust-off-policy-evaluation-with-shrinkage-1907.09623"/></url>
<url><loc>https://scifaro.com/en/abs/an-introduction-to-decentralized-stochastic-optimization-with-gradient-tracking-1907.09648</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-introduction-to-decentralized-stochastic-optimization-with-gradient-tracking-1907.09648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-introduction-to-decentralized-stochastic-optimization-with-gradient-tracking-1907.09648"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-federated-learning-systems-vision-hype-and-reality-for-data-privacy-and-protection-1907.09693</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-federated-learning-systems-vision-hype-and-reality-for-data-privacy-and-protection-1907.09693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-federated-learning-systems-vision-hype-and-reality-for-data-privacy-and-protection-1907.09693"/></url>
<url><loc>https://scifaro.com/en/abs/trainability-of-relu-networks-and-data-dependent-initialization-1907.09696</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trainability-of-relu-networks-and-data-dependent-initialization-1907.09696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trainability-of-relu-networks-and-data-dependent-initialization-1907.09696"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-attribution-methods-with-relative-feature-importance-1907.09701</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-attribution-methods-with-relative-feature-importance-1907.09701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-attribution-methods-with-relative-feature-importance-1907.09701"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-and-steerable-sequence-learning-via-prototypes-1907.09728</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-and-steerable-sequence-learning-via-prototypes-1907.09728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-and-steerable-sequence-learning-via-prototypes-1907.09728"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-regularization-via-residual-smoothing-in-deep-learning-optimization-1907.09750</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-regularization-via-residual-smoothing-in-deep-learning-optimization-1907.09750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-regularization-via-residual-smoothing-in-deep-learning-optimization-1907.09750"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduction-in-actor-critic-methods-acm-1907.09765</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduction-in-actor-critic-methods-acm-1907.09765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduction-in-actor-critic-methods-acm-1907.09765"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-system-for-predicting-size-and-fit-in-fashion-e-commerce-1907.09844</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-system-for-predicting-size-and-fit-in-fashion-e-commerce-1907.09844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-system-for-predicting-size-and-fit-in-fashion-e-commerce-1907.09844"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-dictionary-learning-in-hierarchical-networks-1907.09881</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-dictionary-learning-in-hierarchical-networks-1907.09881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-dictionary-learning-in-hierarchical-networks-1907.09881"/></url>
<url><loc>https://scifaro.com/en/abs/deepda-lstm-based-deep-data-association-network-for-multi-targets-tracking-in-clutter-1907.09915</loc><lastmod>2019-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepda-lstm-based-deep-data-association-network-for-multi-targets-tracking-in-clutter-1907.09915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepda-lstm-based-deep-data-association-network-for-multi-targets-tracking-in-clutter-1907.09915"/></url>
<url><loc>https://scifaro.com/en/abs/detection-of-real-world-driving-induced-affective-state-using-physiological-signals-and-multi-view-multi-task-machine-learning-1907.09929</loc><lastmod>2019-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-of-real-world-driving-induced-affective-state-using-physiological-signals-and-multi-view-multi-task-machine-learning-1907.09929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-of-real-world-driving-induced-affective-state-using-physiological-signals-and-multi-view-multi-task-machine-learning-1907.09929"/></url>
<url><loc>https://scifaro.com/en/abs/graphx-net-chest-x-ray-classification-under-extreme-minimal-supervision-1907.10085</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphx-net-chest-x-ray-classification-under-extreme-minimal-supervision-1907.10085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphx-net-chest-x-ray-classification-under-extreme-minimal-supervision-1907.10085"/></url>
<url><loc>https://scifaro.com/en/abs/bppsa-scaling-back-propagation-by-parallel-scan-algorithm-1907.10134</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bppsa-scaling-back-propagation-by-parallel-scan-algorithm-1907.10134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bppsa-scaling-back-propagation-by-parallel-scan-algorithm-1907.10134"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-network-based-on-device-learning-anomaly-detector-for-edge-devices-1907.10147</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-network-based-on-device-learning-anomaly-detector-for-edge-devices-1907.10147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-network-based-on-device-learning-anomaly-detector-for-edge-devices-1907.10147"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-transport-based-alignment-of-learned-character-representations-for-string-similarity-1907.10165</loc><lastmod>2019-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-transport-based-alignment-of-learned-character-representations-for-string-similarity-1907.10165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-transport-based-alignment-of-learned-character-representations-for-string-similarity-1907.10165"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-the-variety-loss-in-the-context-of-probabilistic-trajectory-prediction-1907.10178</loc><lastmod>2019-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-the-variety-loss-in-the-context-of-probabilistic-trajectory-prediction-1907.10178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-the-variety-loss-in-the-context-of-probabilistic-trajectory-prediction-1907.10178"/></url>
<url><loc>https://scifaro.com/en/abs/classification-from-triplet-comparison-data-1907.10225</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-from-triplet-comparison-data-1907.10225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-from-triplet-comparison-data-1907.10225"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-different-types-of-conversions-with-multi-task-learning-in-online-advertising-1907.10235</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-different-types-of-conversions-with-multi-task-learning-in-online-advertising-1907.10235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-different-types-of-conversions-with-multi-task-learning-in-online-advertising-1907.10235"/></url>
<url><loc>https://scifaro.com/en/abs/memory-based-trajectory-conditioned-policies-for-learning-from-sparse-rewards-1907.10247</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-based-trajectory-conditioned-policies-for-learning-from-sparse-rewards-1907.10247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-based-trajectory-conditioned-policies-for-learning-from-sparse-rewards-1907.10247"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-classification-of-time-series-data-using-efficient-enumerative-techniques-1907.10265</loc><lastmod>2019-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-classification-of-time-series-data-using-efficient-enumerative-techniques-1907.10265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-classification-of-time-series-data-using-efficient-enumerative-techniques-1907.10265"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-consistent-domain-generation-for-semi-supervised-learning-1907.10267</loc><lastmod>2019-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-consistent-domain-generation-for-semi-supervised-learning-1907.10267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-consistent-domain-generation-for-semi-supervised-learning-1907.10267"/></url>
<url><loc>https://scifaro.com/en/abs/backward-forward-algorithm-an-improvement-towards-extreme-learning-machine-1907.10282</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backward-forward-algorithm-an-improvement-towards-extreme-learning-machine-1907.10282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backward-forward-algorithm-an-improvement-towards-extreme-learning-machine-1907.10282"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-in-reinforcement-learning-1907.10323</loc><lastmod>2019-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-in-reinforcement-learning-1907.10323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-in-reinforcement-learning-1907.10323"/></url>
<url><loc>https://scifaro.com/en/abs/notes-on-latent-structure-models-and-spigot-1907.10348</loc><lastmod>2019-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/notes-on-latent-structure-models-and-spigot-1907.10348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/notes-on-latent-structure-models-and-spigot-1907.10348"/></url>
<url><loc>https://scifaro.com/en/abs/self-attention-based-bilstm-cnn-classifier-for-the-prediction-of-ischemic-and-non-ischemic-cardiomyopathy-1907.10370</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-attention-based-bilstm-cnn-classifier-for-the-prediction-of-ischemic-and-non-ischemic-cardiomyopathy-1907.10370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-attention-based-bilstm-cnn-classifier-for-the-prediction-of-ischemic-and-non-ischemic-cardiomyopathy-1907.10370"/></url>
<url><loc>https://scifaro.com/en/abs/classified-regression-for-bayesian-optimization-robot-learning-with-unknown-penalties-1907.10383</loc><lastmod>2020-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classified-regression-for-bayesian-optimization-robot-learning-with-unknown-penalties-1907.10383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classified-regression-for-bayesian-optimization-robot-learning-with-unknown-penalties-1907.10383"/></url>
<url><loc>https://scifaro.com/en/abs/higher-order-function-networks-for-learning-composable-3d-object-representations-1907.10388</loc><lastmod>2020-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higher-order-function-networks-for-learning-composable-3d-object-representations-1907.10388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higher-order-function-networks-for-learning-composable-3d-object-representations-1907.10388"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-clustering-general-pairwise-and-cardinality-constraints-1907.10410</loc><lastmod>2023-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-clustering-general-pairwise-and-cardinality-constraints-1907.10410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-clustering-general-pairwise-and-cardinality-constraints-1907.10410"/></url>
<url><loc>https://scifaro.com/en/abs/a-graphical-heuristic-for-reduction-and-partitioning-of-large-datasets-for-scalable-supervised-training-1907.10421</loc><lastmod>2019-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-graphical-heuristic-for-reduction-and-partitioning-of-large-datasets-for-scalable-supervised-training-1907.10421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-graphical-heuristic-for-reduction-and-partitioning-of-large-datasets-for-scalable-supervised-training-1907.10421"/></url>
<url><loc>https://scifaro.com/en/abs/emobed-strengthening-monomodal-emotion-recognition-via-training-with-crossmodal-emotion-embeddings-1907.10428</loc><lastmod>2019-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emobed-strengthening-monomodal-emotion-recognition-via-training-with-crossmodal-emotion-embeddings-1907.10428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emobed-strengthening-monomodal-emotion-recognition-via-training-with-crossmodal-emotion-embeddings-1907.10428"/></url>
<url><loc>https://scifaro.com/en/abs/noise-contrastive-variational-autoencoders-1907.10430</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-contrastive-variational-autoencoders-1907.10430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-contrastive-variational-autoencoders-1907.10430"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-fairness-in-the-stochastic-multi-armed-bandit-problem-1907.10516</loc><lastmod>2020-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-fairness-in-the-stochastic-multi-armed-bandit-problem-1907.10516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-fairness-in-the-stochastic-multi-armed-bandit-problem-1907.10516"/></url>
<url><loc>https://scifaro.com/en/abs/ir-vic-unsupervised-discovery-of-sub-goals-for-transfer-in-rl-1907.10580</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ir-vic-unsupervised-discovery-of-sub-goals-for-transfer-in-rl-1907.10580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ir-vic-unsupervised-discovery-of-sub-goals-for-transfer-in-rl-1907.10580"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-communication-efficient-collaborative-learning-1907.10595</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-communication-efficient-collaborative-learning-1907.10595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-communication-efficient-collaborative-learning-1907.10595"/></url>
<url><loc>https://scifaro.com/en/abs/a-fine-grained-spectral-perspective-on-neural-networks-1907.10599</loc><lastmod>2020-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fine-grained-spectral-perspective-on-neural-networks-1907.10599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fine-grained-spectral-perspective-on-neural-networks-1907.10599"/></url>
<url><loc>https://scifaro.com/en/abs/curriculum-based-dropout-discriminator-for-domain-adaptation-1907.10628</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curriculum-based-dropout-discriminator-for-domain-adaptation-1907.10628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curriculum-based-dropout-discriminator-for-domain-adaptation-1907.10628"/></url>
<url><loc>https://scifaro.com/en/abs/art-abstraction-refinement-guided-training-for-provably-correct-neural-networks-1907.10662</loc><lastmod>2020-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/art-abstraction-refinement-guided-training-for-provably-correct-neural-networks-1907.10662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/art-abstraction-refinement-guided-training-for-provably-correct-neural-networks-1907.10662"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-tpu-gpu-and-cpu-platforms-for-deep-learning-1907.10701</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-tpu-gpu-and-cpu-platforms-for-deep-learning-1907.10701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-tpu-gpu-and-cpu-platforms-for-deep-learning-1907.10701"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-crack-classification-by-exploiting-statistical-event-descriptors-for-deep-learning-1907.10709</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-crack-classification-by-exploiting-statistical-event-descriptors-for-deep-learning-1907.10709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-crack-classification-by-exploiting-statistical-event-descriptors-for-deep-learning-1907.10709"/></url>
<url><loc>https://scifaro.com/en/abs/hessian-based-analysis-of-sgd-for-deep-nets-dynamics-and-generalization-1907.10732</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hessian-based-analysis-of-sgd-for-deep-nets-dynamics-and-generalization-1907.10732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hessian-based-analysis-of-sgd-for-deep-nets-dynamics-and-generalization-1907.10732"/></url>
<url><loc>https://scifaro.com/en/abs/sampled-softmax-with-random-fourier-features-1907.10747</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampled-softmax-with-random-fourier-features-1907.10747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampled-softmax-with-random-fourier-features-1907.10747"/></url>
<url><loc>https://scifaro.com/en/abs/towards-automl-in-the-presence-of-drift-first-results-1907.10772</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-automl-in-the-presence-of-drift-first-results-1907.10772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-automl-in-the-presence-of-drift-first-results-1907.10772"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-approach-to-remove-ion-interference-effect-in-agricultural-nutrient-solutions-1907.10794</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-approach-to-remove-ion-interference-effect-in-agricultural-nutrient-solutions-1907.10794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-approach-to-remove-ion-interference-effect-in-agricultural-nutrient-solutions-1907.10794"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-adversarial-example-transferability-with-an-intermediate-level-attack-1907.10823</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-adversarial-example-transferability-with-an-intermediate-level-attack-1907.10823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-adversarial-example-transferability-with-an-intermediate-level-attack-1907.10823"/></url>
<url><loc>https://scifaro.com/en/abs/terminal-prediction-as-an-auxiliary-task-for-deep-reinforcement-learning-1907.10827</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/terminal-prediction-as-an-auxiliary-task-for-deep-reinforcement-learning-1907.10827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/terminal-prediction-as-an-auxiliary-task-for-deep-reinforcement-learning-1907.10827"/></url>
<url><loc>https://scifaro.com/en/abs/framelet-pooling-aided-deep-learning-network-the-method-to-process-high-dimensional-medical-data-1907.10834</loc><lastmod>2019-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/framelet-pooling-aided-deep-learning-network-the-method-to-process-high-dimensional-medical-data-1907.10834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/framelet-pooling-aided-deep-learning-network-the-method-to-process-high-dimensional-medical-data-1907.10834"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-multi-view-instance-detection-with-learned-geometric-soft-constraints-1907.10892</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-multi-view-instance-detection-with-learned-geometric-soft-constraints-1907.10892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-multi-view-instance-detection-with-learned-geometric-soft-constraints-1907.10892"/></url>
<url><loc>https://scifaro.com/en/abs/optuna-a-next-generation-hyperparameter-optimization-framework-1907.10902</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optuna-a-next-generation-hyperparameter-optimization-framework-1907.10902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optuna-a-next-generation-hyperparameter-optimization-framework-1907.10902"/></url>
<url><loc>https://scifaro.com/en/abs/dropedge-towards-deep-graph-convolutional-networks-on-node-classification-1907.10903</loc><lastmod>2020-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropedge-towards-deep-graph-convolutional-networks-on-node-classification-1907.10903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropedge-towards-deep-graph-convolutional-networks-on-node-classification-1907.10903"/></url>
<url><loc>https://scifaro.com/en/abs/theory-of-spectral-method-for-union-of-subspaces-based-random-geometry-graph-1907.10906</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-of-spectral-method-for-union-of-subspaces-based-random-geometry-graph-1907.10906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-of-spectral-method-for-union-of-subspaces-based-random-geometry-graph-1907.10906"/></url>
<url><loc>https://scifaro.com/en/abs/logical-reduction-of-metarules-1907.10952</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logical-reduction-of-metarules-1907.10952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logical-reduction-of-metarules-1907.10952"/></url>
<url><loc>https://scifaro.com/en/abs/learning-higher-order-logic-programs-1907.10953</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-higher-order-logic-programs-1907.10953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-higher-order-logic-programs-1907.10953"/></url>
<url><loc>https://scifaro.com/en/abs/overfitting-of-neural-nets-under-class-imbalance-analysis-and-improvements-for-segmentation-1907.10982</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overfitting-of-neural-nets-under-class-imbalance-analysis-and-improvements-for-segmentation-1907.10982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overfitting-of-neural-nets-under-class-imbalance-analysis-and-improvements-for-segmentation-1907.10982"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-input-for-deep-reinforcement-learning-in-autonomous-driving-1907.10994</loc><lastmod>2020-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-input-for-deep-reinforcement-learning-in-autonomous-driving-1907.10994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-input-for-deep-reinforcement-learning-in-autonomous-driving-1907.10994"/></url>
<url><loc>https://scifaro.com/en/abs/towards-generalizing-sensorimotor-control-across-weather-conditions-1907.11025</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-generalizing-sensorimotor-control-across-weather-conditions-1907.11025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-generalizing-sensorimotor-control-across-weather-conditions-1907.11025"/></url>
<url><loc>https://scifaro.com/en/abs/automated-discovery-and-classification-of-training-videos-for-career-progression-1907.11086</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-discovery-and-classification-of-training-videos-for-career-progression-1907.11086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-discovery-and-classification-of-training-videos-for-career-progression-1907.11086"/></url>
<url><loc>https://scifaro.com/en/abs/the-good-the-bad-and-the-ugly-augmenting-a-black-box-model-with-expert-knowledge-1907.11105</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-good-the-bad-and-the-ugly-augmenting-a-black-box-model-with-expert-knowledge-1907.11105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-good-the-bad-and-the-ugly-augmenting-a-black-box-model-with-expert-knowledge-1907.11105"/></url>
<url><loc>https://scifaro.com/en/abs/filter-bank-regularization-of-convolutional-neural-networks-1907.11110</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/filter-bank-regularization-of-convolutional-neural-networks-1907.11110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/filter-bank-regularization-of-convolutional-neural-networks-1907.11110"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-lasso-for-dynamic-network-regression-1907.11114</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-lasso-for-dynamic-network-regression-1907.11114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-lasso-for-dynamic-network-regression-1907.11114"/></url>
<url><loc>https://scifaro.com/en/abs/semisupervised-adversarial-neural-networks-for-cyber-security-transfer-learning-1907.11129</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semisupervised-adversarial-neural-networks-for-cyber-security-transfer-learning-1907.11129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semisupervised-adversarial-neural-networks-for-cyber-security-transfer-learning-1907.11129"/></url>
<url><loc>https://scifaro.com/en/abs/google-research-football-a-novel-reinforcement-learning-environment-1907.11180</loc><lastmod>2020-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/google-research-football-a-novel-reinforcement-learning-environment-1907.11180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/google-research-football-a-novel-reinforcement-learning-environment-1907.11180"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-domain-adaptation-via-calibrating-uncertainties-1907.11202</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-via-calibrating-uncertainties-1907.11202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-via-calibrating-uncertainties-1907.11202"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-highway-lane-changes-based-on-prototype-trajectories-1907.11208</loc><lastmod>2019-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-highway-lane-changes-based-on-prototype-trajectories-1907.11208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-highway-lane-changes-based-on-prototype-trajectories-1907.11208"/></url>
<url><loc>https://scifaro.com/en/abs/huge2-a-highly-untangled-generative-model-engine-for-edge-computing-1907.11210</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/huge2-a-highly-untangled-generative-model-engine-for-edge-computing-1907.11210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/huge2-a-highly-untangled-generative-model-engine-for-edge-computing-1907.11210"/></url>
<url><loc>https://scifaro.com/en/abs/a-frobenius-norm-regularization-method-for-convolutional-kernels-to-avoid-unstable-gradient-problem-1907.11235</loc><lastmod>2019-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-frobenius-norm-regularization-method-for-convolutional-kernels-to-avoid-unstable-gradient-problem-1907.11235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-frobenius-norm-regularization-method-for-convolutional-kernels-to-avoid-unstable-gradient-problem-1907.11235"/></url>
<url><loc>https://scifaro.com/en/abs/towards-meta-learning-for-multi-target-regression-problems-1907.11277</loc><lastmod>2019-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-meta-learning-for-multi-target-regression-problems-1907.11277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-meta-learning-for-multi-target-regression-problems-1907.11277"/></url>
<url><loc>https://scifaro.com/en/abs/heat-transfer-prediction-for-methane-in-regenerative-cooling-channels-with-neural-networks-1907.11281</loc><lastmod>2020-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heat-transfer-prediction-for-methane-in-regenerative-cooling-channels-with-neural-networks-1907.11281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heat-transfer-prediction-for-methane-in-regenerative-cooling-channels-with-neural-networks-1907.11281"/></url>
<url><loc>https://scifaro.com/en/abs/deam-adaptive-momentum-with-discriminative-weight-for-stochastic-optimization-1907.11307</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deam-adaptive-momentum-with-discriminative-weight-for-stochastic-optimization-1907.11307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deam-adaptive-momentum-with-discriminative-weight-for-stochastic-optimization-1907.11307"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-theoretic-on-line-learning-principle-for-specialization-in-hierarchical-decision-making-systems-1907.11452</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-theoretic-on-line-learning-principle-for-specialization-in-hierarchical-decision-making-systems-1907.11452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-theoretic-on-line-learning-principle-for-specialization-in-hierarchical-decision-making-systems-1907.11452"/></url>
<url><loc>https://scifaro.com/en/abs/two-hidden-layer-feedforward-neural-networks-are-universal-approximators-a-constructive-approach-1907.11457</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-hidden-layer-feedforward-neural-networks-are-universal-approximators-a-constructive-approach-1907.11457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-hidden-layer-feedforward-neural-networks-are-universal-approximators-a-constructive-approach-1907.11457"/></url>
<url><loc>https://scifaro.com/en/abs/compressing-deep-quaternion-neural-networks-with-targeted-regularization-1907.11546</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressing-deep-quaternion-neural-networks-with-targeted-regularization-1907.11546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressing-deep-quaternion-neural-networks-with-targeted-regularization-1907.11546"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-volumetric-autoregressive-generative-models-for-better-semisupervised-learning-1907.11559</loc><lastmod>2019-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-volumetric-autoregressive-generative-models-for-better-semisupervised-learning-1907.11559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-volumetric-autoregressive-generative-models-for-better-semisupervised-learning-1907.11559"/></url>
<url><loc>https://scifaro.com/en/abs/making-neural-networks-fair-1907.11569</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-neural-networks-fair-1907.11569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-neural-networks-fair-1907.11569"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-semi-supervised-svm-via-triply-stochastic-gradients-1907.11584</loc><lastmod>2019-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-semi-supervised-svm-via-triply-stochastic-gradients-1907.11584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-semi-supervised-svm-via-triply-stochastic-gradients-1907.11584"/></url>
<url><loc>https://scifaro.com/en/abs/lexicographic-multiarmed-bandit-1907.11605</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lexicographic-multiarmed-bandit-1907.11605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lexicographic-multiarmed-bandit-1907.11605"/></url>
<url><loc>https://scifaro.com/en/abs/taming-momentum-in-a-distributed-asynchronous-environment-1907.11612</loc><lastmod>2020-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taming-momentum-in-a-distributed-asynchronous-environment-1907.11612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taming-momentum-in-a-distributed-asynchronous-environment-1907.11612"/></url>
<url><loc>https://scifaro.com/en/abs/multi-stage-prediction-networks-for-data-harmonization-1907.11629</loc><lastmod>2019-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-stage-prediction-networks-for-data-harmonization-1907.11629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-stage-prediction-networks-for-data-harmonization-1907.11629"/></url>
<url><loc>https://scifaro.com/en/abs/training-products-of-expert-capsules-with-mixing-by-dynamic-routing-1907.11643</loc><lastmod>2019-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-products-of-expert-capsules-with-mixing-by-dynamic-routing-1907.11643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-products-of-expert-capsules-with-mixing-by-dynamic-routing-1907.11643"/></url>
<url><loc>https://scifaro.com/en/abs/action-guidance-with-mcts-for-deep-reinforcement-learning-1907.11703</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/action-guidance-with-mcts-for-deep-reinforcement-learning-1907.11703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/action-guidance-with-mcts-for-deep-reinforcement-learning-1907.11703"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-personalized-search-story-recommendation-1907.11754</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-personalized-search-story-recommendation-1907.11754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-personalized-search-story-recommendation-1907.11754"/></url>
<url><loc>https://scifaro.com/en/abs/an-encoder-decoder-based-approach-for-anomaly-detection-with-application-in-additive-manufacturing-1907.11778</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-encoder-decoder-based-approach-for-anomaly-detection-with-application-in-additive-manufacturing-1907.11778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-encoder-decoder-based-approach-for-anomaly-detection-with-application-in-additive-manufacturing-1907.11778"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-adversarial-robustness-the-trade-off-between-minimum-and-average-margin-1907.11780</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-adversarial-robustness-the-trade-off-between-minimum-and-average-margin-1907.11780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-adversarial-robustness-the-trade-off-between-minimum-and-average-margin-1907.11780"/></url>
<url><loc>https://scifaro.com/en/abs/on-hard-exploration-for-reinforcement-learning-a-case-study-in-pommerman-1907.11788</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-hard-exploration-for-reinforcement-learning-a-case-study-in-pommerman-1907.11788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-hard-exploration-for-reinforcement-learning-a-case-study-in-pommerman-1907.11788"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-causal-entropy-specification-inference-from-demonstrations-1907.11792</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-causal-entropy-specification-inference-from-demonstrations-1907.11792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-causal-entropy-specification-inference-from-demonstrations-1907.11792"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-interpreting-potentials-for-classical-hamiltonian-systems-1907.11806</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-interpreting-potentials-for-classical-hamiltonian-systems-1907.11806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-interpreting-potentials-for-classical-hamiltonian-systems-1907.11806"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-dictionary-classifiers-for-time-series-classification-1907.11815</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-dictionary-classifiers-for-time-series-classification-1907.11815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-dictionary-classifiers-for-time-series-classification-1907.11815"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-network-for-handwritten-text-1907.11845</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-network-for-handwritten-text-1907.11845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-network-for-handwritten-text-1907.11845"/></url>
<url><loc>https://scifaro.com/en/abs/many-could-be-better-than-all-a-novel-instance-oriented-algorithm-for-multi-modal-multi-label-problem-1907.11857</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/many-could-be-better-than-all-a-novel-instance-oriented-algorithm-for-multi-modal-multi-label-problem-1907.11857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/many-could-be-better-than-all-a-novel-instance-oriented-algorithm-for-multi-modal-multi-label-problem-1907.11857"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-in-model-agnostic-meta-learning-using-variational-inference-1907.11864</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-in-model-agnostic-meta-learning-using-variational-inference-1907.11864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-in-model-agnostic-meta-learning-using-variational-inference-1907.11864"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-self-supervised-learning-for-human-activity-detection-1907.11879</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-self-supervised-learning-for-human-activity-detection-1907.11879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-self-supervised-learning-for-human-activity-detection-1907.11879"/></url>
<url><loc>https://scifaro.com/en/abs/deepcabac-a-universal-compression-algorithm-for-deep-neural-networks-1907.11900</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepcabac-a-universal-compression-algorithm-for-deep-neural-networks-1907.11900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepcabac-a-universal-compression-algorithm-for-deep-neural-networks-1907.11900"/></url>
<url><loc>https://scifaro.com/en/abs/rep-predicting-the-time-course-of-drug-sensitivity-1907.11911</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rep-predicting-the-time-course-of-drug-sensitivity-1907.11911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rep-predicting-the-time-course-of-drug-sensitivity-1907.11911"/></url>
<url><loc>https://scifaro.com/en/abs/learnable-parameter-similarity-1907.11943</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learnable-parameter-similarity-1907.11943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learnable-parameter-similarity-1907.11943"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-winner-take-all-competition-in-sparse-binary-projections-1907.11959</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-winner-take-all-competition-in-sparse-binary-projections-1907.11959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-winner-take-all-competition-in-sparse-binary-projections-1907.11959"/></url>
<url><loc>https://scifaro.com/en/abs/blocking-bandits-1907.11975</loc><lastmod>2024-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blocking-bandits-1907.11975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blocking-bandits-1907.11975"/></url>
<url><loc>https://scifaro.com/en/abs/mindful-active-learning-1907.12003</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mindful-active-learning-1907.12003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mindful-active-learning-1907.12003"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-models-of-relational-implication-1907.12048</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-models-of-relational-implication-1907.12048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-models-of-relational-implication-1907.12048"/></url>
<url><loc>https://scifaro.com/en/abs/charting-the-right-manifold-manifold-mixup-for-few-shot-learning-1907.12087</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/charting-the-right-manifold-manifold-mixup-for-few-shot-learning-1907.12087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/charting-the-right-manifold-manifold-mixup-for-few-shot-learning-1907.12087"/></url>
<url><loc>https://scifaro.com/en/abs/aiads-automated-and-intelligent-advertising-system-for-sponsored-search-1907.12118</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aiads-automated-and-intelligent-advertising-system-for-sponsored-search-1907.12118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aiads-automated-and-intelligent-advertising-system-for-sponsored-search-1907.12118"/></url>
<url><loc>https://scifaro.com/en/abs/are-odds-really-odd-bypassing-statistical-detection-of-adversarial-examples-1907.12138</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-odds-really-odd-bypassing-statistical-detection-of-adversarial-examples-1907.12138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-odds-really-odd-bypassing-statistical-detection-of-adversarial-examples-1907.12138"/></url>
<url><loc>https://scifaro.com/en/abs/multi-modal-predictive-models-of-diabetes-progression-1907.12175</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-modal-predictive-models-of-diabetes-progression-1907.12175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-modal-predictive-models-of-diabetes-progression-1907.12175"/></url>
<url><loc>https://scifaro.com/en/abs/bandits-with-feedback-graphs-and-switching-costs-1907.12189</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandits-with-feedback-graphs-and-switching-costs-1907.12189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandits-with-feedback-graphs-and-switching-costs-1907.12189"/></url>
<url><loc>https://scifaro.com/en/abs/detox-a-redundancy-based-framework-for-faster-and-more-robust-gradient-aggregation-1907.12205</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detox-a-redundancy-based-framework-for-faster-and-more-robust-gradient-aggregation-1907.12205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detox-a-redundancy-based-framework-for-faster-and-more-robust-gradient-aggregation-1907.12205"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-based-attack-for-the-chaos-based-image-encryption-1907.12245</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-based-attack-for-the-chaos-based-image-encryption-1907.12245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-based-attack-for-the-chaos-based-image-encryption-1907.12245"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-association-with-copula-entropy-1907.12268</loc><lastmod>2020-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-association-with-copula-entropy-1907.12268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-association-with-copula-entropy-1907.12268"/></url>
<url><loc>https://scifaro.com/en/abs/hidden-covariate-shift-a-minimal-assumption-for-domain-adaptation-1907.12299</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hidden-covariate-shift-a-minimal-assumption-for-domain-adaptation-1907.12299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hidden-covariate-shift-a-minimal-assumption-for-domain-adaptation-1907.12299"/></url>
<url><loc>https://scifaro.com/en/abs/learning-invariant-representations-for-sentiment-analysis-the-missing-material-is-datasets-1907.12305</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-invariant-representations-for-sentiment-analysis-the-missing-material-is-datasets-1907.12305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-invariant-representations-for-sentiment-analysis-the-missing-material-is-datasets-1907.12305"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-convex-optimization-in-non-stationary-environments-1907.12340</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-convex-optimization-in-non-stationary-environments-1907.12340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-convex-optimization-in-non-stationary-environments-1907.12340"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-deep-learning-performances-with-other-machine-learning-algorithms-on-credit-scoring-unbalanced-data-1907.12363</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-deep-learning-performances-with-other-machine-learning-algorithms-on-credit-scoring-unbalanced-data-1907.12363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-deep-learning-performances-with-other-machine-learning-algorithms-on-credit-scoring-unbalanced-data-1907.12363"/></url>
<url><loc>https://scifaro.com/en/abs/latent-space-factorisation-and-manipulation-via-matrix-subspace-projection-1907.12385</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-space-factorisation-and-manipulation-via-matrix-subspace-projection-1907.12385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-space-factorisation-and-manipulation-via-matrix-subspace-projection-1907.12385"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-bellman-optimality-principle-combining-reward-maximization-and-empowerment-1907.12392</loc><lastmod>2020-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-bellman-optimality-principle-combining-reward-maximization-and-empowerment-1907.12392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-bellman-optimality-principle-combining-reward-maximization-and-empowerment-1907.12392"/></url>
<url><loc>https://scifaro.com/en/abs/computing-the-value-of-data-towards-applied-data-minimalism-1907.12404</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-the-value-of-data-towards-applied-data-minimalism-1907.12404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-the-value-of-data-towards-applied-data-minimalism-1907.12404"/></url>
<url><loc>https://scifaro.com/en/abs/cloudlstm-a-recurrent-neural-model-for-spatiotemporal-point-cloud-stream-forecasting-1907.12410</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cloudlstm-a-recurrent-neural-model-for-spatiotemporal-point-cloud-stream-forecasting-1907.12410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cloudlstm-a-recurrent-neural-model-for-spatiotemporal-point-cloud-stream-forecasting-1907.12410"/></url>
<url><loc>https://scifaro.com/en/abs/quadruply-stochastic-gradients-for-large-scale-nonlinear-semi-supervised-auc-optimization-1907.12416</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quadruply-stochastic-gradients-for-large-scale-nonlinear-semi-supervised-auc-optimization-1907.12416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quadruply-stochastic-gradients-for-large-scale-nonlinear-semi-supervised-auc-optimization-1907.12416"/></url>
<url><loc>https://scifaro.com/en/abs/hindsight-trust-region-policy-optimization-1907.12439</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hindsight-trust-region-policy-optimization-1907.12439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hindsight-trust-region-policy-optimization-1907.12439"/></url>
<url><loc>https://scifaro.com/en/abs/semantic-rl-with-action-grammars-data-efficient-learning-of-hierarchical-task-abstractions-1907.12477</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantic-rl-with-action-grammars-data-efficient-learning-of-hierarchical-task-abstractions-1907.12477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantic-rl-with-action-grammars-data-efficient-learning-of-hierarchical-task-abstractions-1907.12477"/></url>
<url><loc>https://scifaro.com/en/abs/fdive-learning-relevance-models-using-pattern-based-similarity-measures-1907.12489</loc><lastmod>2024-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fdive-learning-relevance-models-using-pattern-based-similarity-measures-1907.12489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fdive-learning-relevance-models-using-pattern-based-similarity-measures-1907.12489"/></url>
<url><loc>https://scifaro.com/en/abs/tackling-ordinal-regression-problem-for-heterogeneous-data-sparse-and-deep-multi-task-learning-approaches-1907.12508</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tackling-ordinal-regression-problem-for-heterogeneous-data-sparse-and-deep-multi-task-learning-approaches-1907.12508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tackling-ordinal-regression-problem-for-heterogeneous-data-sparse-and-deep-multi-task-learning-approaches-1907.12508"/></url>
<url><loc>https://scifaro.com/en/abs/rnnbow-visualizing-learning-via-backpropagation-gradients-in-recurrent-neural-networks-1907.12545</loc><lastmod>2019-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rnnbow-visualizing-learning-via-backpropagation-gradients-in-recurrent-neural-networks-1907.12545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rnnbow-visualizing-learning-via-backpropagation-gradients-in-recurrent-neural-networks-1907.12545"/></url>
<url><loc>https://scifaro.com/en/abs/a-factored-generalized-additive-model-for-clinical-decision-support-in-the-operating-room-1907.12596</loc><lastmod>2019-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-factored-generalized-additive-model-for-clinical-decision-support-in-the-operating-room-1907.12596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-factored-generalized-additive-model-for-clinical-decision-support-in-the-operating-room-1907.12596"/></url>
<url><loc>https://scifaro.com/en/abs/deep-gradient-boosting-layer-wise-input-normalization-of-neural-networks-1907.12608</loc><lastmod>2020-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-gradient-boosting-layer-wise-input-normalization-of-neural-networks-1907.12608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-gradient-boosting-layer-wise-input-normalization-of-neural-networks-1907.12608"/></url>
<url><loc>https://scifaro.com/en/abs/task-classification-model-for-visual-fixation-exploration-and-search-1907.12635</loc><lastmod>2019-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-classification-model-for-visual-fixation-exploration-and-search-1907.12635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-classification-model-for-visual-fixation-exploration-and-search-1907.12635"/></url>
<url><loc>https://scifaro.com/en/abs/airbnb-price-prediction-using-machine-learning-and-sentiment-analysis-1907.12665</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/airbnb-price-prediction-using-machine-learning-and-sentiment-analysis-1907.12665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/airbnb-price-prediction-using-machine-learning-and-sentiment-analysis-1907.12665"/></url>
<url><loc>https://scifaro.com/en/abs/the-challenge-of-imputation-in-explainable-artificial-intelligence-models-1907.12669</loc><lastmod>2019-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-challenge-of-imputation-in-explainable-artificial-intelligence-models-1907.12669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-challenge-of-imputation-in-explainable-artificial-intelligence-models-1907.12669"/></url>
<url><loc>https://scifaro.com/en/abs/control-of-nonlinear-complex-and-black-boxed-greenhouse-system-with-reinforcement-learning-1907.12690</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/control-of-nonlinear-complex-and-black-boxed-greenhouse-system-with-reinforcement-learning-1907.12690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/control-of-nonlinear-complex-and-black-boxed-greenhouse-system-with-reinforcement-learning-1907.12690"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-unsupervised-learning-for-optimization-problems-with-constraints-1907.12706</loc><lastmod>2019-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-unsupervised-learning-for-optimization-problems-with-constraints-1907.12706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-unsupervised-learning-for-optimization-problems-with-constraints-1907.12706"/></url>
<url><loc>https://scifaro.com/en/abs/confounder-aware-visualization-of-convnets-1907.12727</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confounder-aware-visualization-of-convnets-1907.12727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confounder-aware-visualization-of-convnets-1907.12727"/></url>
<url><loc>https://scifaro.com/en/abs/not-all-adversarial-examples-require-a-complex-defense-identifying-over-optimized-adversarial-examples-with-iqr-based-logit-thresholding-1907.12744</loc><lastmod>2019-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/not-all-adversarial-examples-require-a-complex-defense-identifying-over-optimized-adversarial-examples-with-iqr-based-logit-thresholding-1907.12744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/not-all-adversarial-examples-require-a-complex-defense-identifying-over-optimized-adversarial-examples-with-iqr-based-logit-thresholding-1907.12744"/></url>
<url><loc>https://scifaro.com/en/abs/an-anomaly-prediction-framework-for-financial-it-systems-using-hybrid-machine-learning-methods-1907.12778</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-anomaly-prediction-framework-for-financial-it-systems-using-hybrid-machine-learning-methods-1907.12778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-anomaly-prediction-framework-for-financial-it-systems-using-hybrid-machine-learning-methods-1907.12778"/></url>
<url><loc>https://scifaro.com/en/abs/multi-kernel-capsule-network-for-schizophrenia-identification-1907.12827</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-kernel-capsule-network-for-schizophrenia-identification-1907.12827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-kernel-capsule-network-for-schizophrenia-identification-1907.12827"/></url>
<url><loc>https://scifaro.com/en/abs/prudence-when-assuming-normality-an-advice-for-machine-learning-practitioners-1907.12852</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prudence-when-assuming-normality-an-advice-for-machine-learning-practitioners-1907.12852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prudence-when-assuming-normality-an-advice-for-machine-learning-practitioners-1907.12852"/></url>
<url><loc>https://scifaro.com/en/abs/a-real-time-iterative-machine-learning-approach-for-temperature-profile-prediction-in-additive-manufacturing-processes-1907.12953</loc><lastmod>2019-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-real-time-iterative-machine-learning-approach-for-temperature-profile-prediction-in-additive-manufacturing-processes-1907.12953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-real-time-iterative-machine-learning-approach-for-temperature-profile-prediction-in-additive-manufacturing-processes-1907.12953"/></url>
<url><loc>https://scifaro.com/en/abs/transferability-of-spectral-graph-convolutional-neural-networks-1907.12972</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferability-of-spectral-graph-convolutional-neural-networks-1907.12972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferability-of-spectral-graph-convolutional-neural-networks-1907.12972"/></url>
<url><loc>https://scifaro.com/en/abs/kernels-on-fuzzy-sets-an-overview-1907.12991</loc><lastmod>2019-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernels-on-fuzzy-sets-an-overview-1907.12991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernels-on-fuzzy-sets-an-overview-1907.12991"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-capabilities-of-neural-odes-and-invertible-residual-networks-1907.12998</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-capabilities-of-neural-odes-and-invertible-residual-networks-1907.12998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-capabilities-of-neural-odes-and-invertible-residual-networks-1907.12998"/></url>
<url><loc>https://scifaro.com/en/abs/genesis-generative-scene-inference-and-sampling-with-object-centric-latent-representations-1907.13052</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/genesis-generative-scene-inference-and-sampling-with-object-centric-latent-representations-1907.13052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/genesis-generative-scene-inference-and-sampling-with-object-centric-latent-representations-1907.13052"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-assisted-ventilation-in-amyotrophic-lateral-sclerosis-using-a-mixture-of-experts-and-conformal-predictors-1907.13070</loc><lastmod>2019-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-assisted-ventilation-in-amyotrophic-lateral-sclerosis-using-a-mixture-of-experts-and-conformal-predictors-1907.13070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-assisted-ventilation-in-amyotrophic-lateral-sclerosis-using-a-mixture-of-experts-and-conformal-predictors-1907.13070"/></url>
<url><loc>https://scifaro.com/en/abs/a-federated-learning-approach-for-mobile-packet-classification-1907.13113</loc><lastmod>2019-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-federated-learning-approach-for-mobile-packet-classification-1907.13113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-federated-learning-approach-for-mobile-packet-classification-1907.13113"/></url>
<url><loc>https://scifaro.com/en/abs/an-experiment-on-measurement-of-pavement-roughness-via-android-based-smartphones-1907.13120</loc><lastmod>2019-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-experiment-on-measurement-of-pavement-roughness-via-android-based-smartphones-1907.13120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-experiment-on-measurement-of-pavement-roughness-via-android-based-smartphones-1907.13120"/></url>
<url><loc>https://scifaro.com/en/abs/towards-more-accurate-automatic-sleep-staging-via-deep-transfer-learning-1907.13177</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-more-accurate-automatic-sleep-staging-via-deep-transfer-learning-1907.13177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-more-accurate-automatic-sleep-staging-via-deep-transfer-learning-1907.13177"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-robust-reinforcement-learning-1907.13196</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-robust-reinforcement-learning-1907.13196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-robust-reinforcement-learning-1907.13196"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-training-on-the-edge-with-low-precision-posits-1907.13216</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-training-on-the-edge-with-low-precision-posits-1907.13216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-training-on-the-edge-with-low-precision-posits-1907.13216"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-adversarial-inverse-reinforcement-learning-1907.13220</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-adversarial-inverse-reinforcement-learning-1907.13220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-adversarial-inverse-reinforcement-learning-1907.13220"/></url>
<url><loc>https://scifaro.com/en/abs/a-temporal-clustering-algorithm-for-achieving-the-trade-off-between-the-user-experience-and-the-equipment-economy-in-the-context-of-iot-1907.13246</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-temporal-clustering-algorithm-for-achieving-the-trade-off-between-the-user-experience-and-the-equipment-economy-in-the-context-of-iot-1907.13246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-temporal-clustering-algorithm-for-achieving-the-trade-off-between-the-user-experience-and-the-equipment-economy-in-the-context-of-iot-1907.13246"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-multi-gpu-parallelization-strategies-for-deep-learning-training-1907.13257</loc><lastmod>2022-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-multi-gpu-parallelization-strategies-for-deep-learning-training-1907.13257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-multi-gpu-parallelization-strategies-for-deep-learning-training-1907.13257"/></url>
<url><loc>https://scifaro.com/en/abs/are-outlier-detection-methods-resilient-to-sampling-1907.13276</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-outlier-detection-methods-resilient-to-sampling-1907.13276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-outlier-detection-methods-resilient-to-sampling-1907.13276"/></url>
<url><loc>https://scifaro.com/en/abs/sample-complexity-bounds-for-influence-maximization-1907.13301</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-complexity-bounds-for-influence-maximization-1907.13301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-complexity-bounds-for-influence-maximization-1907.13301"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-study-of-general-fuzzy-min-max-neural-networks-for-pattern-classification-problems-1907.13308</loc><lastmod>2020-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-study-of-general-fuzzy-min-max-neural-networks-for-pattern-classification-problems-1907.13308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-study-of-general-fuzzy-min-max-neural-networks-for-pattern-classification-problems-1907.13308"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-multiple-classifier-generation-and-combination-framework-based-on-fuzzy-clustering-and-individualized-ensemble-construction-1907.13353</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-multiple-classifier-generation-and-combination-framework-based-on-fuzzy-clustering-and-individualized-ensemble-construction-1907.13353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-multiple-classifier-generation-and-combination-framework-based-on-fuzzy-clustering-and-individualized-ensemble-construction-1907.13353"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-network-hyperparameter-optimization-with-orthogonal-array-tuning-1907.13359</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-hyperparameter-optimization-with-orthogonal-array-tuning-1907.13359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-hyperparameter-optimization-with-orthogonal-array-tuning-1907.13359"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-reinforcement-learning-with-multiple-ranked-experts-1907.13411</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-with-multiple-ranked-experts-1907.13411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-with-multiple-ranked-experts-1907.13411"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-based-explicit-mixture-models-and-expectation-maximization-based-learning-1907.13432</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-based-explicit-mixture-models-and-expectation-maximization-based-learning-1907.13432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-based-explicit-mixture-models-and-expectation-maximization-based-learning-1907.13432"/></url>
<url><loc>https://scifaro.com/en/abs/minerl-a-large-scale-dataset-of-minecraft-demonstrations-1907.13440</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minerl-a-large-scale-dataset-of-minecraft-demonstrations-1907.13440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minerl-a-large-scale-dataset-of-minecraft-demonstrations-1907.13440"/></url>
<url><loc>https://scifaro.com/en/abs/graph-space-embedding-1907.13443</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-space-embedding-1907.13443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-space-embedding-1907.13443"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-framework-of-the-fuzzy-c-means-distances-problem-based-weighted-distance-1907.13513</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-framework-of-the-fuzzy-c-means-distances-problem-based-weighted-distance-1907.13513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-framework-of-the-fuzzy-c-means-distances-problem-based-weighted-distance-1907.13513"/></url>
<url><loc>https://scifaro.com/en/abs/local-interpretation-methods-to-machine-learning-using-the-domain-of-the-feature-space-1907.13525</loc><lastmod>2019-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-interpretation-methods-to-machine-learning-using-the-domain-of-the-feature-space-1907.13525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-interpretation-methods-to-machine-learning-using-the-domain-of-the-feature-space-1907.13525"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-attacks-on-reinforcement-learning-policies-1907.13548</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-attacks-on-reinforcement-learning-policies-1907.13548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-attacks-on-reinforcement-learning-policies-1907.13548"/></url>
<url><loc>https://scifaro.com/en/abs/privately-answering-classification-queries-in-the-agnostic-pac-model-1907.13553</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privately-answering-classification-queries-in-the-agnostic-pac-model-1907.13553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privately-answering-classification-queries-in-the-agnostic-pac-model-1907.13553"/></url>
<url><loc>https://scifaro.com/en/abs/on-mutual-information-maximization-for-representation-learning-1907.13625</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-mutual-information-maximization-for-representation-learning-1907.13625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-mutual-information-maximization-for-representation-learning-1907.13625"/></url>
<url><loc>https://scifaro.com/en/abs/how-good-is-sgd-with-random-shuffling-1908.00045</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-good-is-sgd-with-random-shuffling-1908.00045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-good-is-sgd-with-random-shuffling-1908.00045"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-at-the-network-edge-a-survey-1908.00080</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-at-the-network-edge-a-survey-1908.00080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-at-the-network-edge-a-survey-1908.00080"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-curves-1908.00096</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-curves-1908.00096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-curves-1908.00096"/></url>
<url><loc>https://scifaro.com/en/abs/a-direct-approach-for-function-approximation-on-data-defined-manifolds-1908.00156</loc><lastmod>2020-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-direct-approach-for-function-approximation-on-data-defined-manifolds-1908.00156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-direct-approach-for-function-approximation-on-data-defined-manifolds-1908.00156"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-cnn-training-by-pruning-activation-gradients-1908.00173</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-cnn-training-by-pruning-activation-gradients-1908.00173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-cnn-training-by-pruning-activation-gradients-1908.00173"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-for-small-graph-and-giant-network-representation-learning-an-overview-1908.00187</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-for-small-graph-and-giant-network-representation-learning-an-overview-1908.00187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-for-small-graph-and-giant-network-representation-learning-an-overview-1908.00187"/></url>
<url><loc>https://scifaro.com/en/abs/learning-aided-physical-layer-attacks-against-multicarrier-communications-in-iot-1908.00195</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-aided-physical-layer-attacks-against-multicarrier-communications-in-iot-1908.00195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-aided-physical-layer-attacks-against-multicarrier-communications-in-iot-1908.00195"/></url>
<url><loc>https://scifaro.com/en/abs/chainer-a-deep-learning-framework-for-accelerating-the-research-cycle-1908.00213</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chainer-a-deep-learning-framework-for-accelerating-the-research-cycle-1908.00213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chainer-a-deep-learning-framework-for-accelerating-the-research-cycle-1908.00213"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-theory-of-policy-gradient-methods-optimality-approximation-and-distribution-shift-1908.00261</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-theory-of-policy-gradient-methods-optimality-approximation-and-distribution-shift-1908.00261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-theory-of-policy-gradient-methods-optimality-approximation-and-distribution-shift-1908.00261"/></url>
<url><loc>https://scifaro.com/en/abs/featuring-the-topology-with-the-unsupervised-machine-learning-1908.00281</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/featuring-the-topology-with-the-unsupervised-machine-learning-1908.00281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/featuring-the-topology-with-the-unsupervised-machine-learning-1908.00281"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-personalized-dialogue-management-1908.00286</loc><lastmod>2024-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-personalized-dialogue-management-1908.00286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-personalized-dialogue-management-1908.00286"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-via-online-leverage-score-sampling-1908.00355</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-via-online-leverage-score-sampling-1908.00355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-via-online-leverage-score-sampling-1908.00355"/></url>
<url><loc>https://scifaro.com/en/abs/tree-transformer-a-transformer-based-method-for-correction-of-tree-structured-data-1908.00449</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-transformer-a-transformer-based-method-for-correction-of-tree-structured-data-1908.00449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-transformer-a-transformer-based-method-for-correction-of-tree-structured-data-1908.00449"/></url>
<url><loc>https://scifaro.com/en/abs/learning-joint-acoustic-phonetic-word-embeddings-1908.00493</loc><lastmod>2019-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-joint-acoustic-phonetic-word-embeddings-1908.00493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-joint-acoustic-phonetic-word-embeddings-1908.00493"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-free-epistemic-uncertainty-estimation-using-approximated-variance-propagation-1908.00598</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-free-epistemic-uncertainty-estimation-using-approximated-variance-propagation-1908.00598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-free-epistemic-uncertainty-estimation-using-approximated-variance-propagation-1908.00598"/></url>
<url><loc>https://scifaro.com/en/abs/optimize-tsk-fuzzy-systems-for-classification-problems-mini-batch-gradient-descent-with-uniform-regularization-and-batch-normalization-1908.00636</loc><lastmod>2020-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimize-tsk-fuzzy-systems-for-classification-problems-mini-batch-gradient-descent-with-uniform-regularization-and-batch-normalization-1908.00636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimize-tsk-fuzzy-systems-for-classification-problems-mini-batch-gradient-descent-with-uniform-regularization-and-batch-normalization-1908.00636"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-finite-mixtures-of-poisson-distributions-for-context-dependent-neural-correlations-1908.00637</loc><lastmod>2025-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-finite-mixtures-of-poisson-distributions-for-context-dependent-neural-correlations-1908.00637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-finite-mixtures-of-poisson-distributions-for-context-dependent-neural-correlations-1908.00637"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-low-order-and-higher-order-graph-convolutional-networks-1908.00673</loc><lastmod>2019-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-low-order-and-higher-order-graph-convolutional-networks-1908.00673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-low-order-and-higher-order-graph-convolutional-networks-1908.00673"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-sparse-subspace-clustering-using-landmarks-1908.00683</loc><lastmod>2019-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-sparse-subspace-clustering-using-landmarks-1908.00683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-sparse-subspace-clustering-using-landmarks-1908.00683"/></url>
<url><loc>https://scifaro.com/en/abs/feature-robustness-in-non-stationary-health-records-caveats-to-deployable-model-performance-in-common-clinical-machine-learning-tasks-1908.00690</loc><lastmod>2019-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-robustness-in-non-stationary-health-records-caveats-to-deployable-model-performance-in-common-clinical-machine-learning-tasks-1908.00690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-robustness-in-non-stationary-health-records-caveats-to-deployable-model-performance-in-common-clinical-machine-learning-tasks-1908.00690"/></url>
<url><loc>https://scifaro.com/en/abs/soccer-team-vectors-1908.00698</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soccer-team-vectors-1908.00698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soccer-team-vectors-1908.00698"/></url>
<url><loc>https://scifaro.com/en/abs/calibrating-the-adaptive-learning-rate-to-improve-convergence-of-adam-1908.00700</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrating-the-adaptive-learning-rate-to-improve-convergence-of-adam-1908.00700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrating-the-adaptive-learning-rate-to-improve-convergence-of-adam-1908.00700"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-autoaugment-1908.00704</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-autoaugment-1908.00704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-autoaugment-1908.00704"/></url>
<url><loc>https://scifaro.com/en/abs/automl-a-survey-of-the-state-of-the-art-1908.00709</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automl-a-survey-of-the-state-of-the-art-1908.00709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automl-a-survey-of-the-state-of-the-art-1908.00709"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-combine-primitive-skills-a-step-towards-versatile-robotic-manipulation-1908.00722</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-combine-primitive-skills-a-step-towards-versatile-robotic-manipulation-1908.00722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-combine-primitive-skills-a-step-towards-versatile-robotic-manipulation-1908.00722"/></url>
<url><loc>https://scifaro.com/en/abs/learning-variations-in-human-motion-via-mix-and-match-perturbation-1908.00733</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-variations-in-human-motion-via-mix-and-match-perturbation-1908.00733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-variations-in-human-motion-via-mix-and-match-perturbation-1908.00733"/></url>
<url><loc>https://scifaro.com/en/abs/detection-of-accounting-anomalies-in-the-latent-space-using-adversarial-autoencoder-neural-networks-1908.00734</loc><lastmod>2019-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-of-accounting-anomalies-in-the-latent-space-using-adversarial-autoencoder-neural-networks-1908.00734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-of-accounting-anomalies-in-the-latent-space-using-adversarial-autoencoder-neural-networks-1908.00734"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-computation-of-counterfactual-explanations-of-lvq-models-1908.00735</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-computation-of-counterfactual-explanations-of-lvq-models-1908.00735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-computation-of-counterfactual-explanations-of-lvq-models-1908.00735"/></url>
<url><loc>https://scifaro.com/en/abs/a-visual-technique-to-analyze-flow-of-information-in-a-machine-learning-system-1908.00754</loc><lastmod>2019-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-visual-technique-to-analyze-flow-of-information-in-a-machine-learning-system-1908.00754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-visual-technique-to-analyze-flow-of-information-in-a-machine-learning-system-1908.00754"/></url>
<url><loc>https://scifaro.com/en/abs/network-with-sub-networks-1908.00763</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-with-sub-networks-1908.00763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-with-sub-networks-1908.00763"/></url>
<url><loc>https://scifaro.com/en/abs/a-hierarchical-bayesian-model-for-size-recommendation-in-fashion-1908.00825</loc><lastmod>2019-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hierarchical-bayesian-model-for-size-recommendation-in-fashion-1908.00825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hierarchical-bayesian-model-for-size-recommendation-in-fashion-1908.00825"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-as-ecology-1908.00868</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-as-ecology-1908.00868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-as-ecology-1908.00868"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-energy-disaggregation-and-on-off-detection-of-household-appliances-1908.00941</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-energy-disaggregation-and-on-off-detection-of-household-appliances-1908.00941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-energy-disaggregation-and-on-off-detection-of-household-appliances-1908.00941"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-integer-optimization-approach-to-learning-association-rules-for-unplanned-icu-transfer-1908.00966</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-integer-optimization-approach-to-learning-association-rules-for-unplanned-icu-transfer-1908.00966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-integer-optimization-approach-to-learning-association-rules-for-unplanned-icu-transfer-1908.00966"/></url>
<url><loc>https://scifaro.com/en/abs/infograph-unsupervised-and-semi-supervised-graph-level-representation-learning-via-mutual-information-maximization-1908.01000</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infograph-unsupervised-and-semi-supervised-graph-level-representation-learning-via-mutual-information-maximization-1908.01000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infograph-unsupervised-and-semi-supervised-graph-level-representation-learning-via-mutual-information-maximization-1908.01000"/></url>
<url><loc>https://scifaro.com/en/abs/improving-deep-reinforcement-learning-in-minecraft-with-action-advice-1908.01007</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-deep-reinforcement-learning-in-minecraft-with-action-advice-1908.01007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-deep-reinforcement-learning-in-minecraft-with-action-advice-1908.01007"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bayesian-non-linear-matrix-completion-1908.01009</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bayesian-non-linear-matrix-completion-1908.01009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bayesian-non-linear-matrix-completion-1908.01009"/></url>
<url><loc>https://scifaro.com/en/abs/health-informed-policy-gradients-for-multi-agent-reinforcement-learning-1908.01022</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/health-informed-policy-gradients-for-multi-agent-reinforcement-learning-1908.01022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/health-informed-policy-gradients-for-multi-agent-reinforcement-learning-1908.01022"/></url>
<url><loc>https://scifaro.com/en/abs/rulekit-a-comprehensive-suite-for-rule-based-learning-1908.01031</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rulekit-a-comprehensive-suite-for-rule-based-learning-1908.01031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rulekit-a-comprehensive-suite-for-rule-based-learning-1908.01031"/></url>
<url><loc>https://scifaro.com/en/abs/linear-dynamics-clustering-without-identification-1908.01039</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-dynamics-clustering-without-identification-1908.01039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-dynamics-clustering-without-identification-1908.01039"/></url>
<url><loc>https://scifaro.com/en/abs/falls-prediction-in-eldery-people-using-gated-recurrent-units-1908.01050</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/falls-prediction-in-eldery-people-using-gated-recurrent-units-1908.01050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/falls-prediction-in-eldery-people-using-gated-recurrent-units-1908.01050"/></url>
<url><loc>https://scifaro.com/en/abs/weight-friction-a-simple-method-to-overcome-catastrophic-forgetting-and-enable-continual-learning-1908.01052</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weight-friction-a-simple-method-to-overcome-catastrophic-forgetting-and-enable-continual-learning-1908.01052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weight-friction-a-simple-method-to-overcome-catastrophic-forgetting-and-enable-continual-learning-1908.01052"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-distributed-machine-learning-via-local-randomization-and-admm-perturbation-1908.01059</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-distributed-machine-learning-via-local-randomization-and-admm-perturbation-1908.01059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-distributed-machine-learning-via-local-randomization-and-admm-perturbation-1908.01059"/></url>
<url><loc>https://scifaro.com/en/abs/classi-fly-inferring-aircraft-categories-from-open-data-using-machine-learning-1908.01061</loc><lastmod>2020-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classi-fly-inferring-aircraft-categories-from-open-data-using-machine-learning-1908.01061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classi-fly-inferring-aircraft-categories-from-open-data-using-machine-learning-1908.01061"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-classification-for-fault-diagnosis-of-rotating-electrical-machines-1908.01078</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-classification-for-fault-diagnosis-of-rotating-electrical-machines-1908.01078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-classification-for-fault-diagnosis-of-rotating-electrical-machines-1908.01078"/></url>
<url><loc>https://scifaro.com/en/abs/path-length-bounds-for-gradient-descent-and-flow-1908.01089</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/path-length-bounds-for-gradient-descent-and-flow-1908.01089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/path-length-bounds-for-gradient-descent-and-flow-1908.01089"/></url>
<url><loc>https://scifaro.com/en/abs/toward-understanding-catastrophic-forgetting-in-continual-learning-1908.01091</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-understanding-catastrophic-forgetting-in-continual-learning-1908.01091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-understanding-catastrophic-forgetting-in-continual-learning-1908.01091"/></url>
<url><loc>https://scifaro.com/en/abs/the-use-of-binary-choice-forests-to-model-and-estimate-discrete-choices-1908.01109</loc><lastmod>2025-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-use-of-binary-choice-forests-to-model-and-estimate-discrete-choices-1908.01109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-use-of-binary-choice-forests-to-model-and-estimate-discrete-choices-1908.01109"/></url>
<url><loc>https://scifaro.com/en/abs/developing-an-unsupervised-real-time-anomaly-detection-scheme-for-time-series-with-multi-seasonality-1908.01146</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/developing-an-unsupervised-real-time-anomaly-detection-scheme-for-time-series-with-multi-seasonality-1908.01146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/developing-an-unsupervised-real-time-anomaly-detection-scheme-for-time-series-with-multi-seasonality-1908.01146"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-robustness-of-nmt-systems-to-nonsensical-inputs-1908.01165</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-robustness-of-nmt-systems-to-nonsensical-inputs-1908.01165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-robustness-of-nmt-systems-to-nonsensical-inputs-1908.01165"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-veracity-of-cyber-intrusion-alerts-synthesized-by-generative-adversarial-networks-1908.01219</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-veracity-of-cyber-intrusion-alerts-synthesized-by-generative-adversarial-networks-1908.01219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-veracity-of-cyber-intrusion-alerts-synthesized-by-generative-adversarial-networks-1908.01219"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-contextual-bandits-in-an-unknown-metric-space-1908.01228</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-contextual-bandits-in-an-unknown-metric-space-1908.01228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-contextual-bandits-in-an-unknown-metric-space-1908.01228"/></url>
<url><loc>https://scifaro.com/en/abs/robust-max-entrywise-error-bounds-for-tensor-estimation-from-sparse-observations-via-similarity-based-collaborative-filtering-1908.01241</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-max-entrywise-error-bounds-for-tensor-estimation-from-sparse-observations-via-similarity-based-collaborative-filtering-1908.01241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-max-entrywise-error-bounds-for-tensor-estimation-from-sparse-observations-via-similarity-based-collaborative-filtering-1908.01241"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-deep-learning-at-the-edge-for-scalable-reliability-modeling-of-si-mosfet-power-electronics-converters-1908.01244</loc><lastmod>2019-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-deep-learning-at-the-edge-for-scalable-reliability-modeling-of-si-mosfet-power-electronics-converters-1908.01244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-deep-learning-at-the-edge-for-scalable-reliability-modeling-of-si-mosfet-power-electronics-converters-1908.01244"/></url>
<url><loc>https://scifaro.com/en/abs/a-view-on-deep-reinforcement-learning-in-system-optimization-1908.01275</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-view-on-deep-reinforcement-learning-in-system-optimization-1908.01275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-view-on-deep-reinforcement-learning-in-system-optimization-1908.01275"/></url>
<url><loc>https://scifaro.com/en/abs/drug-drug-interaction-prediction-based-on-knowledge-graph-embeddings-and-convolutional-lstm-network-1908.01288</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drug-drug-interaction-prediction-based-on-knowledge-graph-embeddings-and-convolutional-lstm-network-1908.01288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drug-drug-interaction-prediction-based-on-knowledge-graph-embeddings-and-convolutional-lstm-network-1908.01288"/></url>
<url><loc>https://scifaro.com/en/abs/dueling-posterior-sampling-for-preference-based-reinforcement-learning-1908.01289</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dueling-posterior-sampling-for-preference-based-reinforcement-learning-1908.01289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dueling-posterior-sampling-for-preference-based-reinforcement-learning-1908.01289"/></url>
<url><loc>https://scifaro.com/en/abs/building-deep-equivariant-capsule-networks-1908.01300</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-deep-equivariant-capsule-networks-1908.01300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-deep-equivariant-capsule-networks-1908.01300"/></url>
<url><loc>https://scifaro.com/en/abs/moga-searching-beyond-mobilenetv3-1908.01314</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moga-searching-beyond-mobilenetv3-1908.01314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moga-searching-beyond-mobilenetv3-1908.01314"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-representation-learning-via-dual-autoencoders-for-domain-adaptation-1908.01342</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-representation-learning-via-dual-autoencoders-for-domain-adaptation-1908.01342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-representation-learning-via-dual-autoencoders-for-domain-adaptation-1908.01342"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-clustering-and-optimization-for-evolving-datasets-1908.01384</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-clustering-and-optimization-for-evolving-datasets-1908.01384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-clustering-and-optimization-for-evolving-datasets-1908.01384"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-transport-with-neural-networks-1908.01394</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-transport-with-neural-networks-1908.01394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-transport-with-neural-networks-1908.01394"/></url>
<url><loc>https://scifaro.com/en/abs/chembo-bayesian-optimization-of-small-organic-molecules-with-synthesizable-recommendations-1908.01425</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chembo-bayesian-optimization-of-small-organic-molecules-with-synthesizable-recommendations-1908.01425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chembo-bayesian-optimization-of-small-organic-molecules-with-synthesizable-recommendations-1908.01425"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-generalize-to-unseen-tasks-with-bilevel-optimization-1908.01457</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-generalize-to-unseen-tasks-with-bilevel-optimization-1908.01457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-generalize-to-unseen-tasks-with-bilevel-optimization-1908.01457"/></url>
<url><loc>https://scifaro.com/en/abs/gan-path-finder-preliminary-results-1908.01499</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gan-path-finder-preliminary-results-1908.01499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gan-path-finder-preliminary-results-1908.01499"/></url>
<url><loc>https://scifaro.com/en/abs/discriminating-spatial-and-temporal-relevance-in-deep-taylor-decompositions-for-explainable-activity-recognition-1908.01536</loc><lastmod>2019-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminating-spatial-and-temporal-relevance-in-deep-taylor-decompositions-for-explainable-activity-recognition-1908.01536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminating-spatial-and-temporal-relevance-in-deep-taylor-decompositions-for-explainable-activity-recognition-1908.01536"/></url>
<url><loc>https://scifaro.com/en/abs/the-hsic-bottleneck-deep-learning-without-back-propagation-1908.01580</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-hsic-bottleneck-deep-learning-without-back-propagation-1908.01580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-hsic-bottleneck-deep-learning-without-back-propagation-1908.01580"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-consistency-between-neural-networks-and-beyond-1908.01581</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-consistency-between-neural-networks-and-beyond-1908.01581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-consistency-between-neural-networks-and-beyond-1908.01581"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-deep-convolutional-neural-networks-for-the-internet-of-things-1908.01656</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-deep-convolutional-neural-networks-for-the-internet-of-things-1908.01656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-deep-convolutional-neural-networks-for-the-internet-of-things-1908.01656"/></url>
<url><loc>https://scifaro.com/en/abs/a-principled-approach-for-generating-adversarial-images-under-non-smooth-dissimilarity-metrics-1908.01667</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-principled-approach-for-generating-adversarial-images-under-non-smooth-dissimilarity-metrics-1908.01667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-principled-approach-for-generating-adversarial-images-under-non-smooth-dissimilarity-metrics-1908.01667"/></url>
<url><loc>https://scifaro.com/en/abs/imbalance-xgboost-leveraging-weighted-and-focal-losses-for-binary-label-imbalanced-classification-with-xgboost-1908.01672</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imbalance-xgboost-leveraging-weighted-and-focal-losses-for-binary-label-imbalanced-classification-with-xgboost-1908.01672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imbalance-xgboost-leveraging-weighted-and-focal-losses-for-binary-label-imbalanced-classification-with-xgboost-1908.01672"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-contribution-based-multi-scale-architecture-for-generative-flows-1908.01686</loc><lastmod>2022-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-contribution-based-multi-scale-architecture-for-generative-flows-1908.01686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-contribution-based-multi-scale-architecture-for-generative-flows-1908.01686"/></url>
<url><loc>https://scifaro.com/en/abs/discovery-of-bias-and-strategic-behavior-in-crowdsourced-performance-assessment-1908.01718</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovery-of-bias-and-strategic-behavior-in-crowdsourced-performance-assessment-1908.01718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovery-of-bias-and-strategic-behavior-in-crowdsourced-performance-assessment-1908.01718"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-existence-of-simpler-machine-learning-models-1908.01755</loc><lastmod>2022-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-existence-of-simpler-machine-learning-models-1908.01755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-existence-of-simpler-machine-learning-models-1908.01755"/></url>
<url><loc>https://scifaro.com/en/abs/the-myths-of-our-time-fake-news-1908.01760</loc><lastmod>2019-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-myths-of-our-time-fake-news-1908.01760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-myths-of-our-time-fake-news-1908.01760"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-regression-on-low-dimensional-manifolds-using-deep-relu-networks-function-approximation-and-statistical-recovery-1908.01842</loc><lastmod>2022-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-regression-on-low-dimensional-manifolds-using-deep-relu-networks-function-approximation-and-statistical-recovery-1908.01842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-regression-on-low-dimensional-manifolds-using-deep-relu-networks-function-approximation-and-statistical-recovery-1908.01842"/></url>
<url><loc>https://scifaro.com/en/abs/animal-wildlife-population-estimation-using-social-media-images-collections-1908.01875</loc><lastmod>2019-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/animal-wildlife-population-estimation-using-social-media-images-collections-1908.01875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/animal-wildlife-population-estimation-using-social-media-images-collections-1908.01875"/></url>
<url><loc>https://scifaro.com/en/abs/how-does-learning-rate-decay-help-modern-neural-networks-1908.01878</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-does-learning-rate-decay-help-modern-neural-networks-1908.01878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-does-learning-rate-decay-help-modern-neural-networks-1908.01878"/></url>
<url><loc>https://scifaro.com/en/abs/fully-automated-patient-level-malaria-assessment-on-field-prepared-thin-blood-film-microscopy-images-including-supplementary-information-1908.01901</loc><lastmod>2022-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-automated-patient-level-malaria-assessment-on-field-prepared-thin-blood-film-microscopy-images-including-supplementary-information-1908.01901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-automated-patient-level-malaria-assessment-on-field-prepared-thin-blood-film-microscopy-images-including-supplementary-information-1908.01901"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-hierarchical-representation-learning-on-molecular-graphs-1908.02065</loc><lastmod>2019-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-hierarchical-representation-learning-on-molecular-graphs-1908.02065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-hierarchical-representation-learning-on-molecular-graphs-1908.02065"/></url>
<url><loc>https://scifaro.com/en/abs/hermitian-matrices-for-clustering-directed-graphs-insights-and-applications-1908.02096</loc><lastmod>2019-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hermitian-matrices-for-clustering-directed-graphs-insights-and-applications-1908.02096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hermitian-matrices-for-clustering-directed-graphs-insights-and-applications-1908.02096"/></url>
<url><loc>https://scifaro.com/en/abs/model-inference-for-ordinary-differential-equations-by-parametric-polynomial-kernel-regression-1908.02105</loc><lastmod>2019-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-inference-for-ordinary-differential-equations-by-parametric-polynomial-kernel-regression-1908.02105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-inference-for-ordinary-differential-equations-by-parametric-polynomial-kernel-regression-1908.02105"/></url>
<url><loc>https://scifaro.com/en/abs/robby-is-not-a-robber-anymore-on-the-use-of-institutions-for-learning-normative-behavior-1908.02138</loc><lastmod>2019-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robby-is-not-a-robber-anymore-on-the-use-of-institutions-for-learning-normative-behavior-1908.02138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robby-is-not-a-robber-anymore-on-the-use-of-institutions-for-learning-normative-behavior-1908.02138"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-network-based-label-correlation-analysis-for-multi-label-classifier-chain-1908.02172</loc><lastmod>2019-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-network-based-label-correlation-analysis-for-multi-label-classifier-chain-1908.02172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-network-based-label-correlation-analysis-for-multi-label-classifier-chain-1908.02172"/></url>
<url><loc>https://scifaro.com/en/abs/model-agnostic-defence-against-backdoor-attacks-in-machine-learning-1908.02203</loc><lastmod>2022-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-agnostic-defence-against-backdoor-attacks-in-machine-learning-1908.02203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-agnostic-defence-against-backdoor-attacks-in-machine-learning-1908.02203"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-hand-movements-from-eeg-using-a-deep-attention-based-lstm-network-1908.02252</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-hand-movements-from-eeg-using-a-deep-attention-based-lstm-network-1908.02252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-hand-movements-from-eeg-using-a-deep-attention-based-lstm-network-1908.02252"/></url>
<url><loc>https://scifaro.com/en/abs/blurnet-defense-by-filtering-the-feature-maps-1908.02256</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blurnet-defense-by-filtering-the-feature-maps-1908.02256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blurnet-defense-by-filtering-the-feature-maps-1908.02256"/></url>
<url><loc>https://scifaro.com/en/abs/promoting-coordination-through-policy-regularization-in-multi-agent-deep-reinforcement-learning-1908.02269</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/promoting-coordination-through-policy-regularization-in-multi-agent-deep-reinforcement-learning-1908.02269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/promoting-coordination-through-policy-regularization-in-multi-agent-deep-reinforcement-learning-1908.02269"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-segmented-cardiotocography-time-series-signals-using-one-dimensional-convolutional-neural-networks-for-the-early-detection-of-abnormal-birth-outcomes-1908.02338</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-segmented-cardiotocography-time-series-signals-using-one-dimensional-convolutional-neural-networks-for-the-early-detection-of-abnormal-birth-outcomes-1908.02338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-segmented-cardiotocography-time-series-signals-using-one-dimensional-convolutional-neural-networks-for-the-early-detection-of-abnormal-birth-outcomes-1908.02338"/></url>
<url><loc>https://scifaro.com/en/abs/online-planning-for-decentralized-stochastic-control-with-partial-history-sharing-1908.02357</loc><lastmod>2019-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-planning-for-decentralized-stochastic-control-with-partial-history-sharing-1908.02357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-planning-for-decentralized-stochastic-control-with-partial-history-sharing-1908.02357"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-image-classifiers-using-statistical-fault-localization-1908.02374</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-image-classifiers-using-statistical-fault-localization-1908.02374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-image-classifiers-using-statistical-fault-localization-1908.02374"/></url>
<url><loc>https://scifaro.com/en/abs/cheetah-mixed-low-precision-hardware-software-co-design-framework-for-dnns-on-the-edge-1908.02386</loc><lastmod>2019-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cheetah-mixed-low-precision-hardware-software-co-design-framework-for-dnns-on-the-edge-1908.02386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cheetah-mixed-low-precision-hardware-software-co-design-framework-for-dnns-on-the-edge-1908.02386"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-bonus-based-exploration-methods-on-the-arcade-learning-environment-1908.02388</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-bonus-based-exploration-methods-on-the-arcade-learning-environment-1908.02388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-bonus-based-exploration-methods-on-the-arcade-learning-environment-1908.02388"/></url>
<url><loc>https://scifaro.com/en/abs/refining-the-structure-of-neural-networks-using-matrix-conditioning-1908.02400</loc><lastmod>2019-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/refining-the-structure-of-neural-networks-using-matrix-conditioning-1908.02400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/refining-the-structure-of-neural-networks-using-matrix-conditioning-1908.02400"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-graph-flow-1908.02436</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-graph-flow-1908.02436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-graph-flow-1908.02436"/></url>
<url><loc>https://scifaro.com/en/abs/symmetric-graph-convolutional-autoencoder-for-unsupervised-graph-representation-learning-1908.02441</loc><lastmod>2019-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetric-graph-convolutional-autoencoder-for-unsupervised-graph-representation-learning-1908.02441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetric-graph-convolutional-autoencoder-for-unsupervised-graph-representation-learning-1908.02441"/></url>
<url><loc>https://scifaro.com/en/abs/free-lunch-saliency-via-attention-in-atari-agents-1908.02511</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/free-lunch-saliency-via-attention-in-atari-agents-1908.02511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/free-lunch-saliency-via-attention-in-atari-agents-1908.02511"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-channel-similarity-for-accelerating-deep-convolutional-neural-networks-1908.02620</loc><lastmod>2019-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-channel-similarity-for-accelerating-deep-convolutional-neural-networks-1908.02620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-channel-similarity-for-accelerating-deep-convolutional-neural-networks-1908.02620"/></url>
<url><loc>https://scifaro.com/en/abs/structuring-autoencoders-1908.02626</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structuring-autoencoders-1908.02626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structuring-autoencoders-1908.02626"/></url>
<url><loc>https://scifaro.com/en/abs/paired-consistency-an-example-based-model-agnostic-approach-to-fairness-regularization-in-machine-learning-1908.02641</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/paired-consistency-an-example-based-model-agnostic-approach-to-fairness-regularization-in-machine-learning-1908.02641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/paired-consistency-an-example-based-model-agnostic-approach-to-fairness-regularization-in-machine-learning-1908.02641"/></url>
<url><loc>https://scifaro.com/en/abs/a-characterization-of-mean-squared-error-for-estimator-with-bagging-1908.02718</loc><lastmod>2019-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-characterization-of-mean-squared-error-for-estimator-with-bagging-1908.02718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-characterization-of-mean-squared-error-for-estimator-with-bagging-1908.02718"/></url>
<url><loc>https://scifaro.com/en/abs/advocacy-learning-learning-through-competition-and-class-conditional-representations-1908.02723</loc><lastmod>2019-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advocacy-learning-learning-through-competition-and-class-conditional-representations-1908.02723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advocacy-learning-learning-through-competition-and-class-conditional-representations-1908.02723"/></url>
<url><loc>https://scifaro.com/en/abs/flood-prediction-using-machine-learning-models-literature-review-1908.02781</loc><lastmod>2020-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flood-prediction-using-machine-learning-models-literature-review-1908.02781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flood-prediction-using-machine-learning-models-literature-review-1908.02781"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-decision-boundaries-of-trained-neural-networks-1908.02802</loc><lastmod>2019-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-decision-boundaries-of-trained-neural-networks-1908.02802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-decision-boundaries-of-trained-neural-networks-1908.02802"/></url>
<url><loc>https://scifaro.com/en/abs/debiasing-embeddings-for-reduced-gender-bias-in-text-classification-1908.02810</loc><lastmod>2019-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/debiasing-embeddings-for-reduced-gender-bias-in-text-classification-1908.02810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/debiasing-embeddings-for-reduced-gender-bias-in-text-classification-1908.02810"/></url>
<url><loc>https://scifaro.com/en/abs/self-organizing-maps-with-variable-input-length-for-motif-discovery-and-word-segmentation-1908.02830</loc><lastmod>2019-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-organizing-maps-with-variable-input-length-for-motif-discovery-and-word-segmentation-1908.02830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-organizing-maps-with-variable-input-length-for-motif-discovery-and-word-segmentation-1908.02830"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-the-phate-of-neural-networks-1908.02831</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-the-phate-of-neural-networks-1908.02831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-the-phate-of-neural-networks-1908.02831"/></url>
<url><loc>https://scifaro.com/en/abs/hyperstream-a-workflow-engine-for-streaming-data-1908.02858</loc><lastmod>2019-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperstream-a-workflow-engine-for-streaming-data-1908.02858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperstream-a-workflow-engine-for-streaming-data-1908.02858"/></url>
<url><loc>https://scifaro.com/en/abs/how-much-data-is-sufficient-to-learn-high-performing-algorithms-generalization-guarantees-for-data-driven-algorithm-design-1908.02894</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-much-data-is-sufficient-to-learn-high-performing-algorithms-generalization-guarantees-for-data-driven-algorithm-design-1908.02894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-much-data-is-sufficient-to-learn-high-performing-algorithms-generalization-guarantees-for-data-driven-algorithm-design-1908.02894"/></url>
<url><loc>https://scifaro.com/en/abs/graph-node-embeddings-using-domain-aware-biased-random-walks-1908.02947</loc><lastmod>2019-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-node-embeddings-using-domain-aware-biased-random-walks-1908.02947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-node-embeddings-using-domain-aware-biased-random-walks-1908.02947"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-reinforcement-learning-a-new-continuous-reinforcement-learning-frame-based-on-stochastic-differential-equation-methods-1908.02974</loc><lastmod>2019-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-reinforcement-learning-a-new-continuous-reinforcement-learning-frame-based-on-stochastic-differential-equation-methods-1908.02974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-reinforcement-learning-a-new-continuous-reinforcement-learning-frame-based-on-stochastic-differential-equation-methods-1908.02974"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-by-asymmetric-loss-approximation-with-single-side-overestimation-1908.02984</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-by-asymmetric-loss-approximation-with-single-side-overestimation-1908.02984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-by-asymmetric-loss-approximation-with-single-side-overestimation-1908.02984"/></url>
<url><loc>https://scifaro.com/en/abs/local-differential-privacy-for-deep-learning-1908.02997</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-differential-privacy-for-deep-learning-1908.02997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-differential-privacy-for-deep-learning-1908.02997"/></url>
<url><loc>https://scifaro.com/en/abs/augmenting-variational-autoencoders-with-sparse-labels-a-unified-framework-for-unsupervised-semi-un-supervised-and-supervised-learning-1908.03015</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmenting-variational-autoencoders-with-sparse-labels-a-unified-framework-for-unsupervised-semi-un-supervised-and-supervised-learning-1908.03015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmenting-variational-autoencoders-with-sparse-labels-a-unified-framework-for-unsupervised-semi-un-supervised-and-supervised-learning-1908.03015"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-trade-off-between-consistency-and-coverage-in-multi-label-rule-learning-heuristics-1908.03032</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-trade-off-between-consistency-and-coverage-in-multi-label-rule-learning-heuristics-1908.03032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-trade-off-between-consistency-and-coverage-in-multi-label-rule-learning-heuristics-1908.03032"/></url>
<url><loc>https://scifaro.com/en/abs/tensordimm-a-practical-near-memory-processing-architecture-for-embeddings-and-tensor-operations-in-deep-learning-1908.03072</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensordimm-a-practical-near-memory-processing-architecture-for-embeddings-and-tensor-operations-in-deep-learning-1908.03072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensordimm-a-practical-near-memory-processing-architecture-for-embeddings-and-tensor-operations-in-deep-learning-1908.03072"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayes-on-manifolds-1908.03097</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayes-on-manifolds-1908.03097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayes-on-manifolds-1908.03097"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-multiclass-overfitting-by-sequence-reconstruction-from-hamming-queries-1908.03156</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-multiclass-overfitting-by-sequence-reconstruction-from-hamming-queries-1908.03156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-multiclass-overfitting-by-sequence-reconstruction-from-hamming-queries-1908.03156"/></url>
<url><loc>https://scifaro.com/en/abs/universal-adversarial-audio-perturbations-1908.03173</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-adversarial-audio-perturbations-1908.03173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-adversarial-audio-perturbations-1908.03173"/></url>
<url><loc>https://scifaro.com/en/abs/neupde-neural-network-based-ordinary-and-partial-differential-equations-for-modeling-time-dependent-data-1908.03190</loc><lastmod>2019-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neupde-neural-network-based-ordinary-and-partial-differential-equations-for-modeling-time-dependent-data-1908.03190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neupde-neural-network-based-ordinary-and-partial-differential-equations-for-modeling-time-dependent-data-1908.03190"/></url>
<url><loc>https://scifaro.com/en/abs/random-sum-product-forests-with-residual-links-1908.03250</loc><lastmod>2019-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-sum-product-forests-with-residual-links-1908.03250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-sum-product-forests-with-residual-links-1908.03250"/></url>
<url><loc>https://scifaro.com/en/abs/trajectory-wise-control-variates-for-variance-reduction-in-policy-gradient-methods-1908.03263</loc><lastmod>2019-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trajectory-wise-control-variates-for-variance-reduction-in-policy-gradient-methods-1908.03263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trajectory-wise-control-variates-for-variance-reduction-in-policy-gradient-methods-1908.03263"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-variance-of-the-adaptive-learning-rate-and-beyond-1908.03265</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-variance-of-the-adaptive-learning-rate-and-beyond-1908.03265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-variance-of-the-adaptive-learning-rate-and-beyond-1908.03265"/></url>
<url><loc>https://scifaro.com/en/abs/uncheatable-machine-learning-inference-1908.03270</loc><lastmod>2019-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncheatable-machine-learning-inference-1908.03270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncheatable-machine-learning-inference-1908.03270"/></url>
<url><loc>https://scifaro.com/en/abs/fully-convolutional-search-heuristic-learning-for-rapid-path-planners-1908.03343</loc><lastmod>2019-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-convolutional-search-heuristic-learning-for-rapid-path-planners-1908.03343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-convolutional-search-heuristic-learning-for-rapid-path-planners-1908.03343"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-boosting-survival-tree-with-applications-in-credit-scoring-1908.03385</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-boosting-survival-tree-with-applications-in-credit-scoring-1908.03385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-boosting-survival-tree-with-applications-in-credit-scoring-1908.03385"/></url>
<url><loc>https://scifaro.com/en/abs/teaser-early-and-accurate-time-series-classification-1908.03405</loc><lastmod>2019-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/teaser-early-and-accurate-time-series-classification-1908.03405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/teaser-early-and-accurate-time-series-classification-1908.03405"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-models-with-deep-neural-networks-1908.03442</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-models-with-deep-neural-networks-1908.03442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-models-with-deep-neural-networks-1908.03442"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-for-large-scale-image-classification-1908.03491</loc><lastmod>2019-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-for-large-scale-image-classification-1908.03491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-for-large-scale-image-classification-1908.03491"/></url>
<url><loc>https://scifaro.com/en/abs/deep-kernel-learning-for-clustering-1908.03515</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-kernel-learning-for-clustering-1908.03515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-kernel-learning-for-clustering-1908.03515"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-adversarial-robustness-of-neural-networks-without-weight-transport-1908.03560</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-adversarial-robustness-of-neural-networks-without-weight-transport-1908.03560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-adversarial-robustness-of-neural-networks-without-weight-transport-1908.03560"/></url>
<url><loc>https://scifaro.com/en/abs/that-which-we-call-private-1908.03566</loc><lastmod>2020-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/that-which-we-call-private-1908.03566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/that-which-we-call-private-1908.03566"/></url>
<url><loc>https://scifaro.com/en/abs/behaviour-suite-for-reinforcement-learning-1908.03568</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/behaviour-suite-for-reinforcement-learning-1908.03568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/behaviour-suite-for-reinforcement-learning-1908.03568"/></url>
<url><loc>https://scifaro.com/en/abs/lstm-based-flow-prediction-1908.03571</loc><lastmod>2024-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lstm-based-flow-prediction-1908.03571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lstm-based-flow-prediction-1908.03571"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-ensemble-of-classifiers-with-regularization-for-imbalanced-data-classification-1908.03595</loc><lastmod>2020-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-ensemble-of-classifiers-with-regularization-for-imbalanced-data-classification-1908.03595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-ensemble-of-classifiers-with-regularization-for-imbalanced-data-classification-1908.03595"/></url>
<url><loc>https://scifaro.com/en/abs/recent-trends-in-deep-learning-based-personality-detection-1908.03628</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recent-trends-in-deep-learning-based-personality-detection-1908.03628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recent-trends-in-deep-learning-based-personality-detection-1908.03628"/></url>
<url><loc>https://scifaro.com/en/abs/transferring-knowledge-from-monitored-to-unmonitored-areas-for-forecasting-parking-spaces-1908.03629</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferring-knowledge-from-monitored-to-unmonitored-areas-for-forecasting-parking-spaces-1908.03629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferring-knowledge-from-monitored-to-unmonitored-areas-for-forecasting-parking-spaces-1908.03629"/></url>
<url><loc>https://scifaro.com/en/abs/natural-logarithm-rectified-activation-function-in-convolutional-neural-networks-1908.03682</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-logarithm-rectified-activation-function-in-convolutional-neural-networks-1908.03682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-logarithm-rectified-activation-function-in-convolutional-neural-networks-1908.03682"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-traffic-signal-control-using-a-novel-multi-agent-reinforcement-learning-1908.03761</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-traffic-signal-control-using-a-novel-multi-agent-reinforcement-learning-1908.03761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-traffic-signal-control-using-a-novel-multi-agent-reinforcement-learning-1908.03761"/></url>
<url><loc>https://scifaro.com/en/abs/a-critical-note-on-the-evaluation-of-clustering-algorithms-1908.03782</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-critical-note-on-the-evaluation-of-clustering-algorithms-1908.03782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-critical-note-on-the-evaluation-of-clustering-algorithms-1908.03782"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-negative-binomial-classifier-for-probabilistic-record-linkage-1908.03830</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-negative-binomial-classifier-for-probabilistic-record-linkage-1908.03830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-negative-binomial-classifier-for-probabilistic-record-linkage-1908.03830"/></url>
<url><loc>https://scifaro.com/en/abs/lormika-local-rule-based-model-interpretability-with-k-optimal-associations-1908.03840</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lormika-local-rule-based-model-interpretability-with-k-optimal-associations-1908.03840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lormika-local-rule-based-model-interpretability-with-k-optimal-associations-1908.03840"/></url>
<url><loc>https://scifaro.com/en/abs/deep-structured-cross-modal-anomaly-detection-1908.03848</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-structured-cross-modal-anomaly-detection-1908.03848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-structured-cross-modal-anomaly-detection-1908.03848"/></url>
<url><loc>https://scifaro.com/en/abs/specae-spectral-autoencoder-for-anomaly-detection-in-attributed-networks-1908.03849</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/specae-spectral-autoencoder-for-anomaly-detection-in-attributed-networks-1908.03849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/specae-spectral-autoencoder-for-anomaly-detection-in-attributed-networks-1908.03849"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-neural-quantization-for-compressed-domain-similarity-search-1908.03883</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-neural-quantization-for-compressed-domain-similarity-search-1908.03883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-neural-quantization-for-compressed-domain-similarity-search-1908.03883"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-randomized-learning-of-feedforward-neural-networks-1908.03891</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-randomized-learning-of-feedforward-neural-networks-1908.03891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-randomized-learning-of-feedforward-neural-networks-1908.03891"/></url>
<url><loc>https://scifaro.com/en/abs/dynanet-neural-kalman-dynamical-model-for-motion-estimation-and-prediction-1908.03918</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynanet-neural-kalman-dynamical-model-for-motion-estimation-and-prediction-1908.03918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynanet-neural-kalman-dynamical-model-for-motion-estimation-and-prediction-1908.03918"/></url>
<url><loc>https://scifaro.com/en/abs/learning-linear-non-gaussian-causal-models-in-the-presence-of-latent-variables-1908.03932</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-linear-non-gaussian-causal-models-in-the-presence-of-latent-variables-1908.03932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-linear-non-gaussian-causal-models-in-the-presence-of-latent-variables-1908.03932"/></url>
<url><loc>https://scifaro.com/en/abs/experience-reuse-with-probabilistic-movement-primitives-1908.03936</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/experience-reuse-with-probabilistic-movement-primitives-1908.03936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/experience-reuse-with-probabilistic-movement-primitives-1908.03936"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-cooperative-multi-agent-deep-reinforcement-learning-1908.03963</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-cooperative-multi-agent-deep-reinforcement-learning-1908.03963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-cooperative-multi-agent-deep-reinforcement-learning-1908.03963"/></url>
<url><loc>https://scifaro.com/en/abs/taper-time-aware-patient-ehr-representation-1908.03971</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taper-time-aware-patient-ehr-representation-1908.03971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taper-time-aware-patient-ehr-representation-1908.03971"/></url>
<url><loc>https://scifaro.com/en/abs/visual-and-semantic-prototypes-jointly-guided-cnn-for-generalized-zero-shot-learning-1908.03983</loc><lastmod>2019-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-and-semantic-prototypes-jointly-guided-cnn-for-generalized-zero-shot-learning-1908.03983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-and-semantic-prototypes-jointly-guided-cnn-for-generalized-zero-shot-learning-1908.03983"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-on-angular-based-embedding-learning-for-text-independent-speaker-verification-1908.03990</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-on-angular-based-embedding-learning-for-text-independent-speaker-verification-1908.03990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-on-angular-based-embedding-learning-for-text-independent-speaker-verification-1908.03990"/></url>
<url><loc>https://scifaro.com/en/abs/rwr-gae-random-walk-regularization-for-graph-auto-encoders-1908.04003</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rwr-gae-random-walk-regularization-for-graph-auto-encoders-1908.04003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rwr-gae-random-walk-regularization-for-graph-auto-encoders-1908.04003"/></url>
<url><loc>https://scifaro.com/en/abs/instance-enhancement-batch-normalization-an-adaptive-regulator-of-batch-noise-1908.04008</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-enhancement-batch-normalization-an-adaptive-regulator-of-batch-noise-1908.04008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-enhancement-batch-normalization-an-adaptive-regulator-of-batch-noise-1908.04008"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-based-multiple-imputation-model-for-clinical-data-with-a-temporal-dimension-1908.04209</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-based-multiple-imputation-model-for-clinical-data-with-a-temporal-dimension-1908.04209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-based-multiple-imputation-model-for-clinical-data-with-a-temporal-dimension-1908.04209"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-model-monitoring-for-data-streams-1908.04240</loc><lastmod>2019-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-model-monitoring-for-data-streams-1908.04240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-model-monitoring-for-data-streams-1908.04240"/></url>
<url><loc>https://scifaro.com/en/abs/neural-text-generation-with-unlikelihood-training-1908.04319</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-text-generation-with-unlikelihood-training-1908.04319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-text-generation-with-unlikelihood-training-1908.04319"/></url>
<url><loc>https://scifaro.com/en/abs/feature-partitioning-for-efficient-multi-task-architectures-1908.04339</loc><lastmod>2019-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-partitioning-for-efficient-multi-task-architectures-1908.04339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-partitioning-for-efficient-multi-task-architectures-1908.04339"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-neural-pruning-with-latent-vulnerability-suppression-1908.04355</loc><lastmod>2020-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-neural-pruning-with-latent-vulnerability-suppression-1908.04355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-neural-pruning-with-latent-vulnerability-suppression-1908.04355"/></url>
<url><loc>https://scifaro.com/en/abs/superstition-in-the-network-deep-reinforcement-learning-plays-deceptive-games-1908.04436</loc><lastmod>2019-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/superstition-in-the-network-deep-reinforcement-learning-plays-deceptive-games-1908.04436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/superstition-in-the-network-deep-reinforcement-learning-plays-deceptive-games-1908.04436"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-adabound-and-its-connection-to-sgd-1908.04457</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-adabound-and-its-connection-to-sgd-1908.04457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-adabound-and-its-connection-to-sgd-1908.04457"/></url>
<url><loc>https://scifaro.com/en/abs/einconv-exploring-unexplored-tensor-network-decompositions-for-convolutional-neural-networks-1908.04471</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/einconv-exploring-unexplored-tensor-network-decompositions-for-convolutional-neural-networks-1908.04471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/einconv-exploring-unexplored-tensor-network-decompositions-for-convolutional-neural-networks-1908.04471"/></url>
<url><loc>https://scifaro.com/en/abs/on-defending-against-label-flipping-attacks-on-malware-detection-systems-1908.04473</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-defending-against-label-flipping-attacks-on-malware-detection-systems-1908.04473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-defending-against-label-flipping-attacks-on-malware-detection-systems-1908.04473"/></url>
<url><loc>https://scifaro.com/en/abs/regional-tree-regularization-for-interpretability-in-black-box-models-1908.04494</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regional-tree-regularization-for-interpretability-in-black-box-models-1908.04494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regional-tree-regularization-for-interpretability-in-black-box-models-1908.04494"/></url>
<url><loc>https://scifaro.com/en/abs/icebreaker-element-wise-active-information-acquisition-with-bayesian-deep-latent-gaussian-model-1908.04537</loc><lastmod>2019-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/icebreaker-element-wise-active-information-acquisition-with-bayesian-deep-latent-gaussian-model-1908.04537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/icebreaker-element-wise-active-information-acquisition-with-bayesian-deep-latent-gaussian-model-1908.04537"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-the-impact-of-blood-pressure-on-cardiac-function-using-interpretable-biomarkers-and-variational-autoencoders-1908.04538</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-the-impact-of-blood-pressure-on-cardiac-function-using-interpretable-biomarkers-and-variational-autoencoders-1908.04538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-the-impact-of-blood-pressure-on-cardiac-function-using-interpretable-biomarkers-and-variational-autoencoders-1908.04538"/></url>
<url><loc>https://scifaro.com/en/abs/null-space-analysis-for-class-specific-discriminant-learning-1908.04562</loc><lastmod>2019-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/null-space-analysis-for-class-specific-discriminant-learning-1908.04562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/null-space-analysis-for-class-specific-discriminant-learning-1908.04562"/></url>
<url><loc>https://scifaro.com/en/abs/competitive-multi-agent-deep-reinforcement-learning-with-counterfactual-thinking-1908.04573</loc><lastmod>2019-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/competitive-multi-agent-deep-reinforcement-learning-with-counterfactual-thinking-1908.04573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/competitive-multi-agent-deep-reinforcement-learning-with-counterfactual-thinking-1908.04573"/></url>
<url><loc>https://scifaro.com/en/abs/l2p-learning-to-place-for-estimating-heavy-tailed-distributed-outcomes-1908.04628</loc><lastmod>2023-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l2p-learning-to-place-for-estimating-heavy-tailed-distributed-outcomes-1908.04628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l2p-learning-to-place-for-estimating-heavy-tailed-distributed-outcomes-1908.04628"/></url>
<url><loc>https://scifaro.com/en/abs/requirements-engineering-for-machine-learning-perspectives-from-data-scientists-1908.04674</loc><lastmod>2019-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/requirements-engineering-for-machine-learning-perspectives-from-data-scientists-1908.04674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/requirements-engineering-for-machine-learning-perspectives-from-data-scientists-1908.04674"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-parallelism-opportunities-with-deep-learning-frameworks-1908.04705</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-parallelism-opportunities-with-deep-learning-frameworks-1908.04705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-parallelism-opportunities-with-deep-learning-frameworks-1908.04705"/></url>
<url><loc>https://scifaro.com/en/abs/metric-learn-metric-learning-algorithms-in-python-1908.04710</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-learn-metric-learning-algorithms-in-python-1908.04710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-learn-metric-learning-algorithms-in-python-1908.04710"/></url>
<url><loc>https://scifaro.com/en/abs/online-continual-learning-with-maximally-interfered-retrieval-1908.04742</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-continual-learning-with-maximally-interfered-retrieval-1908.04742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-continual-learning-with-maximally-interfered-retrieval-1908.04742"/></url>
<url><loc>https://scifaro.com/en/abs/deepaise-an-end-to-end-development-and-deployment-of-a-recurrent-neural-survival-model-for-early-prediction-of-sepsis-1908.04759</loc><lastmod>2019-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepaise-an-end-to-end-development-and-deployment-of-a-recurrent-neural-survival-model-for-early-prediction-of-sepsis-1908.04759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepaise-an-end-to-end-development-and-deployment-of-a-recurrent-neural-survival-model-for-early-prediction-of-sepsis-1908.04759"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-clustering-with-the-cooperation-of-visible-and-hidden-views-1908.04766</loc><lastmod>2019-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-clustering-with-the-cooperation-of-visible-and-hidden-views-1908.04766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-clustering-with-the-cooperation-of-visible-and-hidden-views-1908.04766"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-fuzzy-clustering-with-the-alternative-learning-between-shared-hidden-space-and-partition-1908.04771</loc><lastmod>2019-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-fuzzy-clustering-with-the-alternative-learning-between-shared-hidden-space-and-partition-1908.04771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-fuzzy-clustering-with-the-alternative-learning-between-shared-hidden-space-and-partition-1908.04771"/></url>
<url><loc>https://scifaro.com/en/abs/local-score-dependent-model-explanation-for-time-dependent-covariates-1908.04839</loc><lastmod>2019-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-score-dependent-model-explanation-for-time-dependent-covariates-1908.04839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-score-dependent-model-explanation-for-time-dependent-covariates-1908.04839"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-multi-objective-optimization-for-automated-machine-learning-1908.04909</loc><lastmod>2019-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-multi-objective-optimization-for-automated-machine-learning-1908.04909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-multi-objective-optimization-for-automated-machine-learning-1908.04909"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-train-parameterization-for-ultra-dimensionality-reduction-1908.04924</loc><lastmod>2019-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-train-parameterization-for-ultra-dimensionality-reduction-1908.04924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-train-parameterization-for-ultra-dimensionality-reduction-1908.04924"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-with-approximate-inference-1908.04970</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-with-approximate-inference-1908.04970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-with-approximate-inference-1908.04970"/></url>
<url><loc>https://scifaro.com/en/abs/harmonized-multimodal-learning-with-gaussian-process-latent-variable-models-1908.04979</loc><lastmod>2019-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harmonized-multimodal-learning-with-gaussian-process-latent-variable-models-1908.04979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harmonized-multimodal-learning-with-gaussian-process-latent-variable-models-1908.04979"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-image-content-to-explain-novel-image-discovery-1908.05006</loc><lastmod>2022-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-image-content-to-explain-novel-image-discovery-1908.05006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-image-content-to-explain-novel-image-discovery-1908.05006"/></url>
<url><loc>https://scifaro.com/en/abs/adagcn-adaboosting-graph-convolutional-networks-into-deep-models-1908.05081</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adagcn-adaboosting-graph-convolutional-networks-into-deep-models-1908.05081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adagcn-adaboosting-graph-convolutional-networks-into-deep-models-1908.05081"/></url>
<url><loc>https://scifaro.com/en/abs/a-reproducible-comparison-of-rssi-fingerprinting-localization-methods-using-lorawan-1908.05085</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reproducible-comparison-of-rssi-fingerprinting-localization-methods-using-lorawan-1908.05085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reproducible-comparison-of-rssi-fingerprinting-localization-methods-using-lorawan-1908.05085"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-behavior-change-detection-in-multidimensional-data-streams-for-maritime-traffic-monitoring-1908.05103</loc><lastmod>2019-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-behavior-change-detection-in-multidimensional-data-streams-for-maritime-traffic-monitoring-1908.05103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-behavior-change-detection-in-multidimensional-data-streams-for-maritime-traffic-monitoring-1908.05103"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-attentive-sentence-pair-modeling-via-distilled-sentence-embedding-1908.05161</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-attentive-sentence-pair-modeling-via-distilled-sentence-embedding-1908.05161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-attentive-sentence-pair-modeling-via-distilled-sentence-embedding-1908.05161"/></url>
<url><loc>https://scifaro.com/en/abs/unconstrained-monotonic-neural-networks-1908.05164</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unconstrained-monotonic-neural-networks-1908.05164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unconstrained-monotonic-neural-networks-1908.05164"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-for-interpretability-in-deep-neural-networks-with-tree-regularization-1908.05254</loc><lastmod>2019-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-for-interpretability-in-deep-neural-networks-with-tree-regularization-1908.05254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-for-interpretability-in-deep-neural-networks-with-tree-regularization-1908.05254"/></url>
<url><loc>https://scifaro.com/en/abs/skill-transfer-in-deep-reinforcement-learning-under-morphological-heterogeneity-1908.05265</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skill-transfer-in-deep-reinforcement-learning-under-morphological-heterogeneity-1908.05265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skill-transfer-in-deep-reinforcement-learning-under-morphological-heterogeneity-1908.05265"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-eating-events-in-free-living-individuals-a-technical-report-1908.05304</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-eating-events-in-free-living-individuals-a-technical-report-1908.05304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-eating-events-in-free-living-individuals-a-technical-report-1908.05304"/></url>
<url><loc>https://scifaro.com/en/abs/from-crystallized-adaptivity-to-fluid-adaptivity-in-deep-reinforcement-learning-insights-from-biological-systems-on-adaptive-flexibility-1908.05348</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-crystallized-adaptivity-to-fluid-adaptivity-in-deep-reinforcement-learning-insights-from-biological-systems-on-adaptive-flexibility-1908.05348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-crystallized-adaptivity-to-fluid-adaptivity-in-deep-reinforcement-learning-insights-from-biological-systems-on-adaptive-flexibility-1908.05348"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-emotion-recognition-using-deep-canonical-correlation-analysis-1908.05349</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-emotion-recognition-using-deep-canonical-correlation-analysis-1908.05349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-emotion-recognition-using-deep-canonical-correlation-analysis-1908.05349"/></url>
<url><loc>https://scifaro.com/en/abs/resonant-machine-learning-based-on-complex-growth-transform-dynamical-systems-1908.05377</loc><lastmod>2020-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resonant-machine-learning-based-on-complex-growth-transform-dynamical-systems-1908.05377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resonant-machine-learning-based-on-complex-growth-transform-dynamical-systems-1908.05377"/></url>
<url><loc>https://scifaro.com/en/abs/honem-learning-embedding-for-higher-order-networks-1908.05387</loc><lastmod>2026-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/honem-learning-embedding-for-higher-order-networks-1908.05387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/honem-learning-embedding-for-higher-order-networks-1908.05387"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adversarial-network-alignment-1908.05429</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adversarial-network-alignment-1908.05429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adversarial-network-alignment-1908.05429"/></url>
<url><loc>https://scifaro.com/en/abs/sex-trafficking-detection-with-ordinal-regression-neural-networks-1908.05434</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sex-trafficking-detection-with-ordinal-regression-neural-networks-1908.05434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sex-trafficking-detection-with-ordinal-regression-neural-networks-1908.05434"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-collaborative-ranking-via-personalized-transformer-1908.05435</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-collaborative-ranking-via-personalized-transformer-1908.05435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-collaborative-ranking-via-personalized-transformer-1908.05435"/></url>
<url><loc>https://scifaro.com/en/abs/mapping-state-space-using-landmarks-for-universal-goal-reaching-1908.05451</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mapping-state-space-using-landmarks-for-universal-goal-reaching-1908.05451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mapping-state-space-using-landmarks-for-universal-goal-reaching-1908.05451"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-regularization-of-labels-1908.05474</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-regularization-of-labels-1908.05474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-regularization-of-labels-1908.05474"/></url>
<url><loc>https://scifaro.com/en/abs/improving-randomized-learning-of-feedforward-neural-networks-by-appropriate-generation-of-random-parameters-1908.05542</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-randomized-learning-of-feedforward-neural-networks-by-appropriate-generation-of-random-parameters-1908.05542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-randomized-learning-of-feedforward-neural-networks-by-appropriate-generation-of-random-parameters-1908.05542"/></url>
<url><loc>https://scifaro.com/en/abs/towards-automated-machine-learning-evaluation-and-comparison-of-automl-approaches-and-tools-1908.05557</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-automated-machine-learning-evaluation-and-comparison-of-automl-approaches-and-tools-1908.05557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-automated-machine-learning-evaluation-and-comparison-of-automl-approaches-and-tools-1908.05557"/></url>
<url><loc>https://scifaro.com/en/abs/entropic-out-of-distribution-detection-1908.05569</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropic-out-of-distribution-detection-1908.05569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropic-out-of-distribution-detection-1908.05569"/></url>
<url><loc>https://scifaro.com/en/abs/learning-credible-deep-neural-networks-with-rationale-regularization-1908.05601</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-credible-deep-neural-networks-with-rationale-regularization-1908.05601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-credible-deep-neural-networks-with-rationale-regularization-1908.05601"/></url>
<url><loc>https://scifaro.com/en/abs/phyre-a-new-benchmark-for-physical-reasoning-1908.05656</loc><lastmod>2019-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phyre-a-new-benchmark-for-physical-reasoning-1908.05656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phyre-a-new-benchmark-for-physical-reasoning-1908.05656"/></url>
<url><loc>https://scifaro.com/en/abs/effect-of-activation-functions-on-the-training-of-overparametrized-neural-nets-1908.05660</loc><lastmod>2020-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effect-of-activation-functions-on-the-training-of-overparametrized-neural-nets-1908.05660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effect-of-activation-functions-on-the-training-of-overparametrized-neural-nets-1908.05660"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-gradient-methods-on-bilinear-zero-sum-games-1908.05699</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-gradient-methods-on-bilinear-zero-sum-games-1908.05699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-gradient-methods-on-bilinear-zero-sum-games-1908.05699"/></url>
<url><loc>https://scifaro.com/en/abs/trustable-and-automated-machine-learning-running-with-blockchain-and-its-applications-1908.05725</loc><lastmod>2019-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trustable-and-automated-machine-learning-running-with-blockchain-and-its-applications-1908.05725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trustable-and-automated-machine-learning-running-with-blockchain-and-its-applications-1908.05725"/></url>
<url><loc>https://scifaro.com/en/abs/heuristic-dynamic-programming-for-adaptive-virtual-synchronous-generators-1908.05744</loc><lastmod>2019-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heuristic-dynamic-programming-for-adaptive-virtual-synchronous-generators-1908.05744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heuristic-dynamic-programming-for-adaptive-virtual-synchronous-generators-1908.05744"/></url>
<url><loc>https://scifaro.com/en/abs/examining-the-use-of-temporal-difference-incremental-delta-bar-delta-for-real-world-predictive-knowledge-architectures-1908.05751</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/examining-the-use-of-temporal-difference-incremental-delta-bar-delta-for-real-world-predictive-knowledge-architectures-1908.05751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/examining-the-use-of-temporal-difference-incremental-delta-bar-delta-for-real-world-predictive-knowledge-architectures-1908.05751"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-multimodal-information-in-large-pretrained-transformers-1908.05787</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-multimodal-information-in-large-pretrained-transformers-1908.05787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-multimodal-information-in-large-pretrained-transformers-1908.05787"/></url>
<url><loc>https://scifaro.com/en/abs/multitask-and-transfer-learning-for-autotuning-exascale-applications-1908.05792</loc><lastmod>2019-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multitask-and-transfer-learning-for-autotuning-exascale-applications-1908.05792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multitask-and-transfer-learning-for-autotuning-exascale-applications-1908.05792"/></url>
<url><loc>https://scifaro.com/en/abs/linear-stochastic-bandits-under-safety-constraints-1908.05814</loc><lastmod>2019-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-stochastic-bandits-under-safety-constraints-1908.05814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-stochastic-bandits-under-safety-constraints-1908.05814"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-based-surrogate-model-for-data-assimilation-in-dynamic-subsurface-flow-problems-1908.05823</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-based-surrogate-model-for-data-assimilation-in-dynamic-subsurface-flow-problems-1908.05823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-based-surrogate-model-for-data-assimilation-in-dynamic-subsurface-flow-problems-1908.05823"/></url>
<url><loc>https://scifaro.com/en/abs/generating-random-parameters-in-feedforward-neural-networks-with-random-hidden-nodes-drawbacks-of-the-standard-method-and-how-to-improve-it-1908.05864</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-random-parameters-in-feedforward-neural-networks-with-random-hidden-nodes-drawbacks-of-the-standard-method-and-how-to-improve-it-1908.05864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-random-parameters-in-feedforward-neural-networks-with-random-hidden-nodes-drawbacks-of-the-standard-method-and-how-to-improve-it-1908.05864"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-additional-mechanisms-on-clients-to-reduce-communication-costs-1908.05891</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-additional-mechanisms-on-clients-to-reduce-communication-costs-1908.05891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-additional-mechanisms-on-clients-to-reduce-communication-costs-1908.05891"/></url>
<url><loc>https://scifaro.com/en/abs/n2d-not-too-deep-clustering-via-clustering-the-local-manifold-of-an-autoencoded-embedding-1908.05968</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/n2d-not-too-deep-clustering-via-clustering-the-local-manifold-of-an-autoencoded-embedding-1908.05968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/n2d-not-too-deep-clustering-via-clustering-the-local-manifold-of-an-autoencoded-embedding-1908.05968"/></url>
<url><loc>https://scifaro.com/en/abs/ai-based-prediction-of-independent-construction-safety-outcomes-from-universal-attributes-1908.05972</loc><lastmod>2026-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ai-based-prediction-of-independent-construction-safety-outcomes-from-universal-attributes-1908.05972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ai-based-prediction-of-independent-construction-safety-outcomes-from-universal-attributes-1908.05972"/></url>
<url><loc>https://scifaro.com/en/abs/the-partial-response-network-a-neural-network-nomogram-1908.05978</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-partial-response-network-a-neural-network-nomogram-1908.05978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-partial-response-network-a-neural-network-nomogram-1908.05978"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-neural-networks-with-bounded-weights-1908.05982</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-neural-networks-with-bounded-weights-1908.05982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-neural-networks-with-bounded-weights-1908.05982"/></url>
<url><loc>https://scifaro.com/en/abs/variational-fusion-for-multimodal-sentiment-analysis-1908.06008</loc><lastmod>2019-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-fusion-for-multimodal-sentiment-analysis-1908.06008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-fusion-for-multimodal-sentiment-analysis-1908.06008"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-lookahead-reinforcement-learning-1908.06012</loc><lastmod>2019-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-lookahead-reinforcement-learning-1908.06012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-lookahead-reinforcement-learning-1908.06012"/></url>
<url><loc>https://scifaro.com/en/abs/double-coupling-learning-for-multi-task-data-stream-classification-1908.06021</loc><lastmod>2019-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-coupling-learning-for-multi-task-data-stream-classification-1908.06021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-coupling-learning-for-multi-task-data-stream-classification-1908.06021"/></url>
<url><loc>https://scifaro.com/en/abs/scarlet-nas-bridging-the-gap-between-stability-and-scalability-in-weight-sharing-neural-architecture-search-1908.06022</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scarlet-nas-bridging-the-gap-between-stability-and-scalability-in-weight-sharing-neural-architecture-search-1908.06022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scarlet-nas-bridging-the-gap-between-stability-and-scalability-in-weight-sharing-neural-architecture-search-1908.06022"/></url>
<url><loc>https://scifaro.com/en/abs/performing-deep-recurrent-double-q-learning-for-atari-games-1908.06040</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performing-deep-recurrent-double-q-learning-for-atari-games-1908.06040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performing-deep-recurrent-double-q-learning-for-atari-games-1908.06040"/></url>
<url><loc>https://scifaro.com/en/abs/on-convex-duality-in-linear-inverse-problems-1908.06065</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-convex-duality-in-linear-inverse-problems-1908.06065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-convex-duality-in-linear-inverse-problems-1908.06065"/></url>
<url><loc>https://scifaro.com/en/abs/nuqsgd-provably-communication-efficient-data-parallel-sgd-via-nonuniform-quantization-1908.06077</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nuqsgd-provably-communication-efficient-data-parallel-sgd-via-nonuniform-quantization-1908.06077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nuqsgd-provably-communication-efficient-data-parallel-sgd-via-nonuniform-quantization-1908.06077"/></url>
<url><loc>https://scifaro.com/en/abs/symmetric-cross-entropy-for-robust-learning-with-noisy-labels-1908.06112</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetric-cross-entropy-for-robust-learning-with-noisy-labels-1908.06112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetric-cross-entropy-for-robust-learning-with-noisy-labels-1908.06112"/></url>
<url><loc>https://scifaro.com/en/abs/online-feature-selection-for-activity-recognition-using-reinforcement-learning-with-multiple-feedback-1908.06134</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-feature-selection-for-activity-recognition-using-reinforcement-learning-with-multiple-feedback-1908.06134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-feature-selection-for-activity-recognition-using-reinforcement-learning-with-multiple-feedback-1908.06134"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-abnormalities-in-resting-state-dynamics-an-unsupervised-learning-approach-1908.06168</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-abnormalities-in-resting-state-dynamics-an-unsupervised-learning-approach-1908.06168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-abnormalities-in-resting-state-dynamics-an-unsupervised-learning-approach-1908.06168"/></url>
<url><loc>https://scifaro.com/en/abs/clutrr-a-diagnostic-benchmark-for-inductive-reasoning-from-text-1908.06177</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clutrr-a-diagnostic-benchmark-for-inductive-reasoning-from-text-1908.06177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clutrr-a-diagnostic-benchmark-for-inductive-reasoning-from-text-1908.06177"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-negative-sampling-for-knowledge-base-completion-1908.06178</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-negative-sampling-for-knowledge-base-completion-1908.06178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-negative-sampling-for-knowledge-base-completion-1908.06178"/></url>
<url><loc>https://scifaro.com/en/abs/computing-linear-restrictions-of-neural-networks-1908.06214</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-linear-restrictions-of-neural-networks-1908.06214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-linear-restrictions-of-neural-networks-1908.06214"/></url>
<url><loc>https://scifaro.com/en/abs/a-symbolic-neural-network-representation-and-its-application-to-understanding-verifying-and-patching-networks-1908.06223</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-symbolic-neural-network-representation-and-its-application-to-understanding-verifying-and-patching-networks-1908.06223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-symbolic-neural-network-representation-and-its-application-to-understanding-verifying-and-patching-networks-1908.06223"/></url>
<url><loc>https://scifaro.com/en/abs/a-batched-multi-armed-bandit-approach-to-news-headline-testing-1908.06256</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-batched-multi-armed-bandit-approach-to-news-headline-testing-1908.06256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-batched-multi-armed-bandit-approach-to-news-headline-testing-1908.06256"/></url>
<url><loc>https://scifaro.com/en/abs/integrated-multi-omics-analysis-using-variational-autoencoders-application-to-pan-cancer-classification-1908.06278</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrated-multi-omics-analysis-using-variational-autoencoders-application-to-pan-cancer-classification-1908.06278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrated-multi-omics-analysis-using-variational-autoencoders-application-to-pan-cancer-classification-1908.06278"/></url>
<url><loc>https://scifaro.com/en/abs/nesterov-accelerated-gradient-and-scale-invariance-for-adversarial-attacks-1908.06281</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nesterov-accelerated-gradient-and-scale-invariance-for-adversarial-attacks-1908.06281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nesterov-accelerated-gradient-and-scale-invariance-for-adversarial-attacks-1908.06281"/></url>
<url><loc>https://scifaro.com/en/abs/ed2-two-stage-active-learning-for-error-detection-technical-report-1908.06309</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ed2-two-stage-active-learning-for-error-detection-technical-report-1908.06309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ed2-two-stage-active-learning-for-error-detection-technical-report-1908.06309"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-deep-learning-1908.06315</loc><lastmod>2020-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-deep-learning-1908.06315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-deep-learning-1908.06315"/></url>
<url><loc>https://scifaro.com/en/abs/structural-health-monitoring-of-cantilever-beam-a-case-study-using-bayesian-neural-network-and-deep-learning-1908.06326</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-health-monitoring-of-cantilever-beam-a-case-study-using-bayesian-neural-network-and-deep-learning-1908.06326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-health-monitoring-of-cantilever-beam-a-case-study-using-bayesian-neural-network-and-deep-learning-1908.06326"/></url>
<url><loc>https://scifaro.com/en/abs/verification-of-neural-network-control-policy-under-persistent-adversarial-perturbation-1908.06353</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/verification-of-neural-network-control-policy-under-persistent-adversarial-perturbation-1908.06353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/verification-of-neural-network-control-policy-under-persistent-adversarial-perturbation-1908.06353"/></url>
<url><loc>https://scifaro.com/en/abs/robust-dcd-based-recursive-adaptive-algorithms-1908.06369</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-dcd-based-recursive-adaptive-algorithms-1908.06369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-dcd-based-recursive-adaptive-algorithms-1908.06369"/></url>
<url><loc>https://scifaro.com/en/abs/vusfa-variational-universal-successor-features-approximator-to-improve-transfer-drl-for-target-driven-visual-navigation-1908.06376</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vusfa-variational-universal-successor-features-approximator-to-improve-transfer-drl-for-target-driven-visual-navigation-1908.06376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vusfa-variational-universal-successor-features-approximator-to-improve-transfer-drl-for-target-driven-visual-navigation-1908.06376"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-convolutional-neural-networks-using-spatial-orderness-1908.06416</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-convolutional-neural-networks-using-spatial-orderness-1908.06416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-convolutional-neural-networks-using-spatial-orderness-1908.06416"/></url>
<url><loc>https://scifaro.com/en/abs/spocc-scalable-possibilistic-classifier-combination-toward-robust-aggregation-of-classifiers-1908.06475</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spocc-scalable-possibilistic-classifier-combination-toward-robust-aggregation-of-classifiers-1908.06475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spocc-scalable-possibilistic-classifier-combination-toward-robust-aggregation-of-classifiers-1908.06475"/></url>
<url><loc>https://scifaro.com/en/abs/demystifying-learning-rate-policies-for-high-accuracy-training-of-deep-neural-networks-1908.06477</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-learning-rate-policies-for-high-accuracy-training-of-deep-neural-networks-1908.06477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-learning-rate-policies-for-high-accuracy-training-of-deep-neural-networks-1908.06477"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-based-undersampling-techniques-1908.06487</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-based-undersampling-techniques-1908.06487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-based-undersampling-techniques-1908.06487"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-time-to-open-of-emails-with-a-latent-state-for-user-engagement-level-1908.06512</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-time-to-open-of-emails-with-a-latent-state-for-user-engagement-level-1908.06512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-time-to-open-of-emails-with-a-latent-state-for-user-engagement-level-1908.06512"/></url>
<url><loc>https://scifaro.com/en/abs/polygan-high-order-polynomial-generators-1908.06571</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polygan-high-order-polynomial-generators-1908.06571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polygan-high-order-polynomial-generators-1908.06571"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-multi-stage-cascading-failure-by-reinforcement-learning-1908.06599</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-multi-stage-cascading-failure-by-reinforcement-learning-1908.06599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-multi-stage-cascading-failure-by-reinforcement-learning-1908.06599"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-based-label-proportions-method-with-data-of-uncertainty-1908.06603</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-based-label-proportions-method-with-data-of-uncertainty-1908.06603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-based-label-proportions-method-with-data-of-uncertainty-1908.06603"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-network-or-dermatologist-1908.06612</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-or-dermatologist-1908.06612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-or-dermatologist-1908.06612"/></url>
<url><loc>https://scifaro.com/en/abs/deep-weisfeiler-lehman-assignment-kernels-via-multiple-kernel-learning-1908.06661</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-weisfeiler-lehman-assignment-kernels-via-multiple-kernel-learning-1908.06661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-weisfeiler-lehman-assignment-kernels-via-multiple-kernel-learning-1908.06661"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsically-motivated-discovery-of-diverse-patterns-in-self-organizing-systems-1908.06663</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsically-motivated-discovery-of-diverse-patterns-in-self-organizing-systems-1908.06663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsically-motivated-discovery-of-diverse-patterns-in-self-organizing-systems-1908.06663"/></url>
<url><loc>https://scifaro.com/en/abs/towards-assessing-the-impact-of-bayesian-optimization-s-own-hyperparameters-1908.06674</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-assessing-the-impact-of-bayesian-optimization-s-own-hyperparameters-1908.06674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-assessing-the-impact-of-bayesian-optimization-s-own-hyperparameters-1908.06674"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-efficient-fuzzy-c-means-clustering-constrained-on-flexible-sparsity-1908.06699</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-efficient-fuzzy-c-means-clustering-constrained-on-flexible-sparsity-1908.06699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-efficient-fuzzy-c-means-clustering-constrained-on-flexible-sparsity-1908.06699"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-compiler-based-fpga-accelerator-for-cnn-training-1908.06724</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-compiler-based-fpga-accelerator-for-cnn-training-1908.06724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-compiler-based-fpga-accelerator-for-cnn-training-1908.06724"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-deterministic-technique-for-symbolic-regression-1908.06754</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-deterministic-technique-for-symbolic-regression-1908.06754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-deterministic-technique-for-symbolic-regression-1908.06754"/></url>
<url><loc>https://scifaro.com/en/abs/boah-a-tool-suite-for-multi-fidelity-bayesian-optimization-analysis-of-hyperparameters-1908.06756</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boah-a-tool-suite-for-multi-fidelity-bayesian-optimization-analysis-of-hyperparameters-1908.06756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boah-a-tool-suite-for-multi-fidelity-bayesian-optimization-analysis-of-hyperparameters-1908.06756"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-update-and-unified-representation-for-multi-agent-reinforcement-learning-1908.06758</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-update-and-unified-representation-for-multi-agent-reinforcement-learning-1908.06758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-update-and-unified-representation-for-multi-agent-reinforcement-learning-1908.06758"/></url>
<url><loc>https://scifaro.com/en/abs/self-attention-based-molecule-representation-for-predicting-drug-target-interaction-1908.06760</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-attention-based-molecule-representation-for-predicting-drug-target-interaction-1908.06760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-attention-based-molecule-representation-for-predicting-drug-target-interaction-1908.06760"/></url>
<url><loc>https://scifaro.com/en/abs/the-efficacy-of-various-machine-learning-models-for-multi-class-classification-of-rna-seq-expression-data-1908.06817</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-efficacy-of-various-machine-learning-models-for-multi-class-classification-of-rna-seq-expression-data-1908.06817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-efficacy-of-various-machine-learning-models-for-multi-class-classification-of-rna-seq-expression-data-1908.06817"/></url>
<url><loc>https://scifaro.com/en/abs/unexpected-effects-of-online-no-substitution-k-means-clustering-1908.06818</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unexpected-effects-of-online-no-substitution-k-means-clustering-1908.06818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unexpected-effects-of-online-no-substitution-k-means-clustering-1908.06818"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-publicly-available-data-in-miccai-papers-from-2014-to-2018-1908.06830</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-publicly-available-data-in-miccai-papers-from-2014-to-2018-1908.06830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-publicly-available-data-in-miccai-papers-from-2014-to-2018-1908.06830"/></url>
<url><loc>https://scifaro.com/en/abs/xsp-across-stack-profiling-and-analysis-of-machine-learning-models-on-gpus-1908.06869</loc><lastmod>2020-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xsp-across-stack-profiling-and-analysis-of-machine-learning-models-on-gpus-1908.06869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xsp-across-stack-profiling-and-analysis-of-machine-learning-models-on-gpus-1908.06869"/></url>
<url><loc>https://scifaro.com/en/abs/towards-linearization-machine-learning-algorithms-1908.06871</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-linearization-machine-learning-algorithms-1908.06871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-linearization-machine-learning-algorithms-1908.06871"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-discovery-of-expressive-multi-label-rules-using-relaxed-pruning-1908.06874</loc><lastmod>2019-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-discovery-of-expressive-multi-label-rules-using-relaxed-pruning-1908.06874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-discovery-of-expressive-multi-label-rules-using-relaxed-pruning-1908.06874"/></url>
<url><loc>https://scifaro.com/en/abs/chainnet-learning-on-blockchain-graphs-with-topological-features-1908.06971</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chainnet-learning-on-blockchain-graphs-with-topological-features-1908.06971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chainnet-learning-on-blockchain-graphs-with-topological-features-1908.06971"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-applications-1908.06973</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-applications-1908.06973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-applications-1908.06973"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-intrinsic-motivation-in-reinforcement-learning-1908.06976</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-intrinsic-motivation-in-reinforcement-learning-1908.06976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-intrinsic-motivation-in-reinforcement-learning-1908.06976"/></url>
<url><loc>https://scifaro.com/en/abs/on-regularization-properties-of-artificial-datasets-for-deep-learning-1908.07005</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-regularization-properties-of-artificial-datasets-for-deep-learning-1908.07005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-regularization-properties-of-artificial-datasets-for-deep-learning-1908.07005"/></url>
<url><loc>https://scifaro.com/en/abs/towards-reducing-biases-in-combining-multiple-experts-online-1908.07009</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-reducing-biases-in-combining-multiple-experts-online-1908.07009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-reducing-biases-in-combining-multiple-experts-online-1908.07009"/></url>
<url><loc>https://scifaro.com/en/abs/topic-augmented-generator-for-abstractive-summarization-1908.07026</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topic-augmented-generator-for-abstractive-summarization-1908.07026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topic-augmented-generator-for-abstractive-summarization-1908.07026"/></url>
<url><loc>https://scifaro.com/en/abs/twitter-sentiment-on-affordable-care-act-using-score-embedding-1908.07061</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/twitter-sentiment-on-affordable-care-act-using-score-embedding-1908.07061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/twitter-sentiment-on-affordable-care-act-using-score-embedding-1908.07061"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-memory-capacity-for-deep-echo-state-networks-1908.07063</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-memory-capacity-for-deep-echo-state-networks-1908.07063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-memory-capacity-for-deep-echo-state-networks-1908.07063"/></url>
<url><loc>https://scifaro.com/en/abs/domain-independent-turn-level-dialogue-quality-evaluation-via-user-satisfaction-estimation-1908.07064</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-independent-turn-level-dialogue-quality-evaluation-via-user-satisfaction-estimation-1908.07064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-independent-turn-level-dialogue-quality-evaluation-via-user-satisfaction-estimation-1908.07064"/></url>
<url><loc>https://scifaro.com/en/abs/semi-implicit-graph-variational-auto-encoders-1908.07078</loc><lastmod>2020-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-implicit-graph-variational-auto-encoders-1908.07078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-implicit-graph-variational-auto-encoders-1908.07078"/></url>
<url><loc>https://scifaro.com/en/abs/feature-interaction-aware-graph-neural-networks-1908.07110</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-interaction-aware-graph-neural-networks-1908.07110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-interaction-aware-graph-neural-networks-1908.07110"/></url>
<url><loc>https://scifaro.com/en/abs/protecting-neural-networks-with-hierarchical-random-switching-towards-better-robustness-accuracy-trade-off-for-stochastic-defenses-1908.07116</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/protecting-neural-networks-with-hierarchical-random-switching-towards-better-robustness-accuracy-trade-off-for-stochastic-defenses-1908.07116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/protecting-neural-networks-with-hierarchical-random-switching-towards-better-robustness-accuracy-trade-off-for-stochastic-defenses-1908.07116"/></url>
<url><loc>https://scifaro.com/en/abs/compliance-change-tracking-in-business-process-services-1908.07190</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compliance-change-tracking-in-business-process-services-1908.07190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compliance-change-tracking-in-business-process-services-1908.07190"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-distribution-regression-for-structured-inference-1908.07193</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-distribution-regression-for-structured-inference-1908.07193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-distribution-regression-for-structured-inference-1908.07193"/></url>
<url><loc>https://scifaro.com/en/abs/density-estimation-in-representation-space-to-predict-model-uncertainty-1908.07235</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-estimation-in-representation-space-to-predict-model-uncertainty-1908.07235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-estimation-in-representation-space-to-predict-model-uncertainty-1908.07235"/></url>
<url><loc>https://scifaro.com/en/abs/investigation-of-wind-pressures-on-tall-building-under-interference-effects-using-machine-learning-techniques-1908.07307</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigation-of-wind-pressures-on-tall-building-under-interference-effects-using-machine-learning-techniques-1908.07307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigation-of-wind-pressures-on-tall-building-under-interference-effects-using-machine-learning-techniques-1908.07307"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-and-interpretable-evaluation-of-surgical-skills-from-kinematic-data-using-fully-convolutional-neural-networks-1908.07319</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-and-interpretable-evaluation-of-surgical-skills-from-kinematic-data-using-fully-convolutional-neural-networks-1908.07319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-and-interpretable-evaluation-of-surgical-skills-from-kinematic-data-using-fully-convolutional-neural-networks-1908.07319"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-distillation-for-semi-supervised-domain-adaptation-1908.07355</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-distillation-for-semi-supervised-domain-adaptation-1908.07355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-distillation-for-semi-supervised-domain-adaptation-1908.07355"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-bayesian-personalized-recommendation-a-case-study-and-beyond-1908.07371</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-bayesian-personalized-recommendation-a-case-study-and-beyond-1908.07371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-bayesian-personalized-recommendation-a-case-study-and-beyond-1908.07371"/></url>
<url><loc>https://scifaro.com/en/abs/expected-path-length-on-random-manifolds-1908.07377</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expected-path-length-on-random-manifolds-1908.07377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expected-path-length-on-random-manifolds-1908.07377"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayes-with-backprop-1908.07380</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayes-with-backprop-1908.07380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayes-with-backprop-1908.07380"/></url>
<url><loc>https://scifaro.com/en/abs/nlnl-negative-learning-for-noisy-labels-1908.07387</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nlnl-negative-learning-for-noisy-labels-1908.07387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nlnl-negative-learning-for-noisy-labels-1908.07387"/></url>
<url><loc>https://scifaro.com/en/abs/cross-modal-zero-shot-hashing-1908.07388</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-modal-zero-shot-hashing-1908.07388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-modal-zero-shot-hashing-1908.07388"/></url>
<url><loc>https://scifaro.com/en/abs/sarcasm-detection-using-hybrid-neural-network-1908.07414</loc><lastmod>2022-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sarcasm-detection-using-hybrid-neural-network-1908.07414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sarcasm-detection-using-hybrid-neural-network-1908.07414"/></url>
<url><loc>https://scifaro.com/en/abs/towards-effective-device-aware-federated-learning-1908.07420</loc><lastmod>2019-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-effective-device-aware-federated-learning-1908.07420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-effective-device-aware-federated-learning-1908.07420"/></url>
<url><loc>https://scifaro.com/en/abs/tabnet-attentive-interpretable-tabular-learning-1908.07442</loc><lastmod>2020-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tabnet-attentive-interpretable-tabular-learning-1908.07442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tabnet-attentive-interpretable-tabular-learning-1908.07442"/></url>
<url><loc>https://scifaro.com/en/abs/on-analog-gradient-descent-learning-over-multiple-access-fading-channels-1908.07463</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-analog-gradient-descent-learning-over-multiple-access-fading-channels-1908.07463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-analog-gradient-descent-learning-over-multiple-access-fading-channels-1908.07463"/></url>
<url><loc>https://scifaro.com/en/abs/sensor-based-estimation-of-dim-light-melatonin-onset-dlmo-using-features-of-two-time-scales-1908.07483</loc><lastmod>2022-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensor-based-estimation-of-dim-light-melatonin-onset-dlmo-using-features-of-two-time-scales-1908.07483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensor-based-estimation-of-dim-light-melatonin-onset-dlmo-using-features-of-two-time-scales-1908.07483"/></url>
<url><loc>https://scifaro.com/en/abs/hotel-recommendation-system-1908.07498</loc><lastmod>2019-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hotel-recommendation-system-1908.07498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hotel-recommendation-system-1908.07498"/></url>
<url><loc>https://scifaro.com/en/abs/transferring-robustness-for-graph-neural-network-against-poisoning-attacks-1908.07558</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferring-robustness-for-graph-neural-network-against-poisoning-attacks-1908.07558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferring-robustness-for-graph-neural-network-against-poisoning-attacks-1908.07558"/></url>
<url><loc>https://scifaro.com/en/abs/fast-rate-pac-bayes-generalization-bounds-via-shifted-rademacher-processes-1908.07585</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-rate-pac-bayes-generalization-bounds-via-shifted-rademacher-processes-1908.07585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-rate-pac-bayes-generalization-bounds-via-shifted-rademacher-processes-1908.07585"/></url>
<url><loc>https://scifaro.com/en/abs/developing-creative-ai-to-generate-sculptural-objects-1908.07587</loc><lastmod>2019-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/developing-creative-ai-to-generate-sculptural-objects-1908.07587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/developing-creative-ai-to-generate-sculptural-objects-1908.07587"/></url>
<url><loc>https://scifaro.com/en/abs/p2l-predicting-transfer-learning-for-images-and-semantic-relations-1908.07630</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/p2l-predicting-transfer-learning-for-images-and-semantic-relations-1908.07630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/p2l-predicting-transfer-learning-for-images-and-semantic-relations-1908.07630"/></url>
<url><loc>https://scifaro.com/en/abs/adaclip-adaptive-clipping-for-private-sgd-1908.07643</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaclip-adaptive-clipping-for-private-sgd-1908.07643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaclip-adaptive-clipping-for-private-sgd-1908.07643"/></url>
<url><loc>https://scifaro.com/en/abs/denoising-and-verification-cross-layer-ensemble-against-black-box-adversarial-attacks-1908.07667</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/denoising-and-verification-cross-layer-ensemble-against-black-box-adversarial-attacks-1908.07667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/denoising-and-verification-cross-layer-ensemble-against-black-box-adversarial-attacks-1908.07667"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-federated-learning-a-segmented-gossip-approach-1908.07782</loc><lastmod>2019-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-federated-learning-a-segmented-gossip-approach-1908.07782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-federated-learning-a-segmented-gossip-approach-1908.07782"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-offline-policy-evaluation-for-the-continuous-armed-bandit-problem-1908.07808</loc><lastmod>2019-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-offline-policy-evaluation-for-the-continuous-armed-bandit-problem-1908.07808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-offline-policy-evaluation-for-the-continuous-armed-bandit-problem-1908.07808"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-person-re-identification-at-the-edge-a-mixed-precision-approach-1908.07842</loc><lastmod>2019-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-person-re-identification-at-the-edge-a-mixed-precision-approach-1908.07842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-person-re-identification-at-the-edge-a-mixed-precision-approach-1908.07842"/></url>
<url><loc>https://scifaro.com/en/abs/cuda-optimized-neural-network-predicts-blood-glucose-control-from-quantified-joint-mobility-and-anthropometrics-1908.07847</loc><lastmod>2019-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cuda-optimized-neural-network-predicts-blood-glucose-control-from-quantified-joint-mobility-and-anthropometrics-1908.07847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cuda-optimized-neural-network-predicts-blood-glucose-control-from-quantified-joint-mobility-and-anthropometrics-1908.07847"/></url>
<url><loc>https://scifaro.com/en/abs/multi-hypothesis-classifier-1908.07857</loc><lastmod>2019-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-hypothesis-classifier-1908.07857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-hypothesis-classifier-1908.07857"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-challenges-methods-and-future-directions-1908.07873</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-challenges-methods-and-future-directions-1908.07873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-challenges-methods-and-future-directions-1908.07873"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-in-generative-adversarial-networks-a-novel-perspective-from-privacy-protection-1908.07882</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-in-generative-adversarial-networks-a-novel-perspective-from-privacy-protection-1908.07882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-in-generative-adversarial-networks-a-novel-perspective-from-privacy-protection-1908.07882"/></url>
<url><loc>https://scifaro.com/en/abs/representation-disentanglement-for-multi-task-learning-with-application-to-fetal-ultrasound-1908.07885</loc><lastmod>2019-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-disentanglement-for-multi-task-learning-with-application-to-fetal-ultrasound-1908.07885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-disentanglement-for-multi-task-learning-with-application-to-fetal-ultrasound-1908.07885"/></url>
<url><loc>https://scifaro.com/en/abs/enabling-hyperparameter-optimization-in-sequential-autoencoders-for-spiking-neural-data-1908.07896</loc><lastmod>2019-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enabling-hyperparameter-optimization-in-sequential-autoencoders-for-spiking-neural-data-1908.07896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enabling-hyperparameter-optimization-in-sequential-autoencoders-for-spiking-neural-data-1908.07896"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-perceptual-scales-using-ordinal-embedding-1908.07962</loc><lastmod>2019-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-perceptual-scales-using-ordinal-embedding-1908.07962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-perceptual-scales-using-ordinal-embedding-1908.07962"/></url>
<url><loc>https://scifaro.com/en/abs/quantile-convolutional-neural-networks-for-value-at-risk-forecasting-1908.07978</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantile-convolutional-neural-networks-for-value-at-risk-forecasting-1908.07978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantile-convolutional-neural-networks-for-value-at-risk-forecasting-1908.07978"/></url>
<url><loc>https://scifaro.com/en/abs/testing-robustness-against-unforeseen-adversaries-1908.08016</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-robustness-against-unforeseen-adversaries-1908.08016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-robustness-against-unforeseen-adversaries-1908.08016"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-foreign-exchange-trading-1908.08036</loc><lastmod>2020-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-foreign-exchange-trading-1908.08036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-foreign-exchange-trading-1908.08036"/></url>
<url><loc>https://scifaro.com/en/abs/hebbian-graph-embeddings-1908.08037</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hebbian-graph-embeddings-1908.08037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hebbian-graph-embeddings-1908.08037"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-scheduling-of-mpi-based-distributed-deep-learning-training-jobs-1908.08082</loc><lastmod>2019-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-scheduling-of-mpi-based-distributed-deep-learning-training-jobs-1908.08082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-scheduling-of-mpi-based-distributed-deep-learning-training-jobs-1908.08082"/></url>
<url><loc>https://scifaro.com/en/abs/transferability-and-hardness-of-supervised-classification-tasks-1908.08142</loc><lastmod>2019-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferability-and-hardness-of-supervised-classification-tasks-1908.08142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferability-and-hardness-of-supervised-classification-tasks-1908.08142"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-network-for-semi-supervised-learning-on-manifolds-1908.08145</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-network-for-semi-supervised-learning-on-manifolds-1908.08145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-network-for-semi-supervised-learning-on-manifolds-1908.08145"/></url>
<url><loc>https://scifaro.com/en/abs/seal-semi-supervised-adversarial-active-learning-on-attributed-graphs-1908.08169</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seal-semi-supervised-adversarial-active-learning-on-attributed-graphs-1908.08169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seal-semi-supervised-adversarial-active-learning-on-attributed-graphs-1908.08169"/></url>
<url><loc>https://scifaro.com/en/abs/ratq-a-universal-fixed-length-quantizer-for-stochastic-optimization-1908.08200</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ratq-a-universal-fixed-length-quantizer-for-stochastic-optimization-1908.08200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ratq-a-universal-fixed-length-quantizer-for-stochastic-optimization-1908.08200"/></url>
<url><loc>https://scifaro.com/en/abs/nl-linknet-toward-lighter-but-more-accurate-road-extraction-with-non-local-operations-1908.08223</loc><lastmod>2020-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nl-linknet-toward-lighter-but-more-accurate-road-extraction-with-non-local-operations-1908.08223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nl-linknet-toward-lighter-but-more-accurate-road-extraction-with-non-local-operations-1908.08223"/></url>
<url><loc>https://scifaro.com/en/abs/learning-stochastic-differential-equations-using-rnn-with-log-signature-features-1908.08286</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-stochastic-differential-equations-using-rnn-with-log-signature-features-1908.08286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-stochastic-differential-equations-using-rnn-with-log-signature-features-1908.08286"/></url>
<url><loc>https://scifaro.com/en/abs/the-learning-of-fuzzy-cognitive-maps-with-noisy-data-a-rapid-and-robust-learning-method-with-maximum-entropy-1908.08339</loc><lastmod>2019-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-learning-of-fuzzy-cognitive-maps-with-noisy-data-a-rapid-and-robust-learning-method-with-maximum-entropy-1908.08339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-learning-of-fuzzy-cognitive-maps-with-noisy-data-a-rapid-and-robust-learning-method-with-maximum-entropy-1908.08339"/></url>
<url><loc>https://scifaro.com/en/abs/an-end-to-end-encrypted-neural-network-for-gradient-updates-transmission-in-federated-learning-1908.08340</loc><lastmod>2019-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-end-to-end-encrypted-neural-network-for-gradient-updates-transmission-in-federated-learning-1908.08340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-end-to-end-encrypted-neural-network-for-gradient-updates-transmission-in-federated-learning-1908.08340"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-algorithm-for-multi-objective-reinforcement-learning-and-policy-adaptation-1908.08342</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-algorithm-for-multi-objective-reinforcement-learning-and-policy-adaptation-1908.08342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-algorithm-for-multi-objective-reinforcement-learning-and-policy-adaptation-1908.08342"/></url>
<url><loc>https://scifaro.com/en/abs/loras-an-oversampling-approach-for-imbalanced-datasets-1908.08346</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loras-an-oversampling-approach-for-imbalanced-datasets-1908.08346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loras-an-oversampling-approach-for-imbalanced-datasets-1908.08346"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-data-renewal-model-for-prediction-algorithms-in-industrial-data-analytics-1908.08368</loc><lastmod>2019-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-data-renewal-model-for-prediction-algorithms-in-industrial-data-analytics-1908.08368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-data-renewal-model-for-prediction-algorithms-in-industrial-data-analytics-1908.08368"/></url>
<url><loc>https://scifaro.com/en/abs/practical-risk-measures-in-reinforcement-learning-1908.08379</loc><lastmod>2019-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-risk-measures-in-reinforcement-learning-1908.08379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-risk-measures-in-reinforcement-learning-1908.08379"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-actor-critic-reinforcement-learning-framework-for-dynamic-multichannel-access-1908.08401</loc><lastmod>2019-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-actor-critic-reinforcement-learning-framework-for-dynamic-multichannel-access-1908.08401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-actor-critic-reinforcement-learning-framework-for-dynamic-multichannel-access-1908.08401"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-cross-validation-of-echo-state-networks-1908.08450</loc><lastmod>2020-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-cross-validation-of-echo-state-networks-1908.08450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-cross-validation-of-echo-state-networks-1908.08450"/></url>
<url><loc>https://scifaro.com/en/abs/data-context-adaptation-for-accurate-recommendation-with-additional-information-1908.08469</loc><lastmod>2019-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-context-adaptation-for-accurate-recommendation-with-additional-information-1908.08469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-context-adaptation-for-accurate-recommendation-with-additional-information-1908.08469"/></url>
<url><loc>https://scifaro.com/en/abs/dyngraph2seq-dynamic-graph-to-sequence-interpretable-learning-for-health-stage-prediction-in-online-health-forums-1908.08497</loc><lastmod>2019-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dyngraph2seq-dynamic-graph-to-sequence-interpretable-learning-for-health-stage-prediction-in-online-health-forums-1908.08497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dyngraph2seq-dynamic-graph-to-sequence-interpretable-learning-for-health-stage-prediction-in-online-health-forums-1908.08497"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-relation-extraction-via-relation-gated-adversarial-learning-1908.08507</loc><lastmod>2019-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-relation-extraction-via-relation-gated-adversarial-learning-1908.08507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-relation-extraction-via-relation-gated-adversarial-learning-1908.08507"/></url>
<url><loc>https://scifaro.com/en/abs/double-reinforcement-learning-for-efficient-off-policy-evaluation-in-markov-decision-processes-1908.08526</loc><lastmod>2020-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-reinforcement-learning-for-efficient-off-policy-evaluation-in-markov-decision-processes-1908.08526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-reinforcement-learning-for-efficient-off-policy-evaluation-in-markov-decision-processes-1908.08526"/></url>
<url><loc>https://scifaro.com/en/abs/applications-of-nature-inspired-algorithms-for-dimension-reduction-enabling-efficient-data-analytics-1908.08563</loc><lastmod>2019-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applications-of-nature-inspired-algorithms-for-dimension-reduction-enabling-efficient-data-analytics-1908.08563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applications-of-nature-inspired-algorithms-for-dimension-reduction-enabling-efficient-data-analytics-1908.08563"/></url>
<url><loc>https://scifaro.com/en/abs/rnns-evolving-on-an-equilibrium-manifold-a-panacea-for-vanishing-and-exploding-gradients-1908.08574</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rnns-evolving-on-an-equilibrium-manifold-a-panacea-for-vanishing-and-exploding-gradients-1908.08574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rnns-evolving-on-an-equilibrium-manifold-a-panacea-for-vanishing-and-exploding-gradients-1908.08574"/></url>
<url><loc>https://scifaro.com/en/abs/mobility-aware-content-preference-learning-in-decentralized-caching-networks-1908.08576</loc><lastmod>2019-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mobility-aware-content-preference-learning-in-decentralized-caching-networks-1908.08576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mobility-aware-content-preference-learning-in-decentralized-caching-networks-1908.08576"/></url>
<url><loc>https://scifaro.com/en/abs/on-convergence-rate-of-adaptive-multiscale-value-function-approximation-for-reinforcement-learning-1908.08578</loc><lastmod>2019-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-convergence-rate-of-adaptive-multiscale-value-function-approximation-for-reinforcement-learning-1908.08578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-convergence-rate-of-adaptive-multiscale-value-function-approximation-for-reinforcement-learning-1908.08578"/></url>
<url><loc>https://scifaro.com/en/abs/online-causal-inference-for-advertising-in-real-time-bidding-auctions-1908.08600</loc><lastmod>2024-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-causal-inference-for-advertising-in-real-time-bidding-auctions-1908.08600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-causal-inference-for-advertising-in-real-time-bidding-auctions-1908.08600"/></url>
<url><loc>https://scifaro.com/en/abs/viability-of-machine-learning-to-reduce-workload-in-systematic-review-screenings-in-the-health-sciences-a-working-paper-1908.08610</loc><lastmod>2019-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/viability-of-machine-learning-to-reduce-workload-in-systematic-review-screenings-in-the-health-sciences-a-working-paper-1908.08610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/viability-of-machine-learning-to-reduce-workload-in-systematic-review-screenings-in-the-health-sciences-a-working-paper-1908.08610"/></url>
<url><loc>https://scifaro.com/en/abs/tiered-graph-autoencoders-with-pytorch-geometric-for-molecular-graphs-1908.08612</loc><lastmod>2019-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tiered-graph-autoencoders-with-pytorch-geometric-for-molecular-graphs-1908.08612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tiered-graph-autoencoders-with-pytorch-geometric-for-molecular-graphs-1908.08612"/></url>
<url><loc>https://scifaro.com/en/abs/quadratic-surface-support-vector-machine-with-l1-norm-regularization-1908.08616</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quadratic-surface-support-vector-machine-with-l1-norm-regularization-1908.08616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quadratic-surface-support-vector-machine-with-l1-norm-regularization-1908.08616"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-task-specific-data-valuation-for-nearest-neighbor-algorithms-1908.08619</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-task-specific-data-valuation-for-nearest-neighbor-algorithms-1908.08619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-task-specific-data-valuation-for-nearest-neighbor-algorithms-1908.08619"/></url>
<url><loc>https://scifaro.com/en/abs/mtcnet-multi-task-learning-paradigm-for-crowd-count-estimation-1908.08652</loc><lastmod>2025-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mtcnet-multi-task-learning-paradigm-for-crowd-count-estimation-1908.08652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mtcnet-multi-task-learning-paradigm-for-crowd-count-estimation-1908.08652"/></url>
<url><loc>https://scifaro.com/en/abs/mish-a-self-regularized-non-monotonic-activation-function-1908.08681</loc><lastmod>2020-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mish-a-self-regularized-non-monotonic-activation-function-1908.08681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mish-a-self-regularized-non-monotonic-activation-function-1908.08681"/></url>
<url><loc>https://scifaro.com/en/abs/quick-means-acceleration-of-k-means-by-learning-a-fast-transform-1908.08713</loc><lastmod>2019-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quick-means-acceleration-of-k-means-by-learning-a-fast-transform-1908.08713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quick-means-acceleration-of-k-means-by-learning-a-fast-transform-1908.08713"/></url>
<url><loc>https://scifaro.com/en/abs/neural-cognitive-diagnosis-for-intelligent-education-systems-1908.08733</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-cognitive-diagnosis-for-intelligent-education-systems-1908.08733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-cognitive-diagnosis-for-intelligent-education-systems-1908.08733"/></url>
<url><loc>https://scifaro.com/en/abs/lukthung-classification-using-neural-networks-on-lyrics-and-audios-1908.08769</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lukthung-classification-using-neural-networks-on-lyrics-and-audios-1908.08769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lukthung-classification-using-neural-networks-on-lyrics-and-audios-1908.08769"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-receiver-operating-characteristic-metric-for-linear-classifiers-1908.08771</loc><lastmod>2019-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-receiver-operating-characteristic-metric-for-linear-classifiers-1908.08771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-receiver-operating-characteristic-metric-for-linear-classifiers-1908.08771"/></url>
<url><loc>https://scifaro.com/en/abs/opponent-aware-reinforcement-learning-1908.08773</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opponent-aware-reinforcement-learning-1908.08773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opponent-aware-reinforcement-learning-1908.08773"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-in-healthcare-a-survey-1908.08796</loc><lastmod>2020-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-in-healthcare-a-survey-1908.08796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-in-healthcare-a-survey-1908.08796"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-in-deep-learning-a-computational-perspective-1908.08843</loc><lastmod>2020-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-in-deep-learning-a-computational-perspective-1908.08843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-in-deep-learning-a-computational-perspective-1908.08843"/></url>
<url><loc>https://scifaro.com/en/abs/alpha-belief-propagation-as-fully-factorized-approximation-1908.08906</loc><lastmod>2019-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alpha-belief-propagation-as-fully-factorized-approximation-1908.08906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alpha-belief-propagation-as-fully-factorized-approximation-1908.08906"/></url>
<url><loc>https://scifaro.com/en/abs/pareto-optimal-data-compression-for-binary-classification-tasks-1908.08961</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pareto-optimal-data-compression-for-binary-classification-tasks-1908.08961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pareto-optimal-data-compression-for-binary-classification-tasks-1908.08961"/></url>
<url><loc>https://scifaro.com/en/abs/calibration-of-deep-probabilistic-models-with-decoupled-bayesian-neural-networks-1908.08972</loc><lastmod>2020-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibration-of-deep-probabilistic-models-with-decoupled-bayesian-neural-networks-1908.08972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibration-of-deep-probabilistic-models-with-decoupled-bayesian-neural-networks-1908.08972"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-for-confounders-in-multimodal-emotion-classification-via-adversarial-learning-1908.08979</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-for-confounders-in-multimodal-emotion-classification-via-adversarial-learning-1908.08979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-for-confounders-in-multimodal-emotion-classification-via-adversarial-learning-1908.08979"/></url>
<url><loc>https://scifaro.com/en/abs/griffon-reasoning-about-job-anomalies-with-unlabeled-data-in-cloud-based-platforms-1908.09048</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/griffon-reasoning-about-job-anomalies-with-unlabeled-data-in-cloud-based-platforms-1908.09048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/griffon-reasoning-about-job-anomalies-with-unlabeled-data-in-cloud-based-platforms-1908.09048"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-warnings-and-fair-maml-learning-fairly-with-minimal-data-1908.09092</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-warnings-and-fair-maml-learning-fairly-with-minimal-data-1908.09092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-warnings-and-fair-maml-learning-fairly-with-minimal-data-1908.09092"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-delta-correct-best-arm-selection-for-heavy-tailed-distributions-1908.09094</loc><lastmod>2023-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-delta-correct-best-arm-selection-for-heavy-tailed-distributions-1908.09094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-delta-correct-best-arm-selection-for-heavy-tailed-distributions-1908.09094"/></url>
<url><loc>https://scifaro.com/en/abs/dgsan-discrete-generative-self-adversarial-network-1908.09127</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dgsan-discrete-generative-self-adversarial-network-1908.09127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dgsan-discrete-generative-self-adversarial-network-1908.09127"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-with-autoencoders-for-electronic-health-records-a-comparative-study-1908.09174</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-with-autoencoders-for-electronic-health-records-a-comparative-study-1908.09174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-with-autoencoders-for-electronic-health-records-a-comparative-study-1908.09174"/></url>
<url><loc>https://scifaro.com/en/abs/deriving-a-quantitative-relationship-between-resolution-and-human-classification-error-1908.09183</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deriving-a-quantitative-relationship-between-resolution-and-human-classification-error-1908.09183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deriving-a-quantitative-relationship-between-resolution-and-human-classification-error-1908.09183"/></url>
<url><loc>https://scifaro.com/en/abs/demystifying-the-mlperf-benchmark-suite-1908.09207</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-the-mlperf-benchmark-suite-1908.09207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-the-mlperf-benchmark-suite-1908.09207"/></url>
<url><loc>https://scifaro.com/en/abs/epp-interpretable-score-of-model-predictive-power-1908.09213</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/epp-interpretable-score-of-model-predictive-power-1908.09213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/epp-interpretable-score-of-model-predictive-power-1908.09213"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-relational-kernel-learning-1908.09219</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-relational-kernel-learning-1908.09219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-relational-kernel-learning-1908.09219"/></url>
<url><loc>https://scifaro.com/en/abs/on-accurate-and-reliable-anomaly-detection-for-gas-turbine-combustors-a-deep-learning-approach-1908.09238</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-accurate-and-reliable-anomaly-detection-for-gas-turbine-combustors-a-deep-learning-approach-1908.09238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-accurate-and-reliable-anomaly-detection-for-gas-turbine-combustors-a-deep-learning-approach-1908.09238"/></url>
<url><loc>https://scifaro.com/en/abs/randnet-deep-learning-with-compressed-measurements-of-images-1908.09258</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randnet-deep-learning-with-compressed-measurements-of-images-1908.09258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randnet-deep-learning-with-compressed-measurements-of-images-1908.09258"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-psychological-similarity-spaces-to-unseen-stimuli-1908.09260</loc><lastmod>2020-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-psychological-similarity-spaces-to-unseen-stimuli-1908.09260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-psychological-similarity-spaces-to-unseen-stimuli-1908.09260"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-performance-of-deep-residual-networks-in-crazyhouse-chess-1908.09296</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-performance-of-deep-residual-networks-in-crazyhouse-chess-1908.09296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-performance-of-deep-residual-networks-in-crazyhouse-chess-1908.09296"/></url>
<url><loc>https://scifaro.com/en/abs/a-method-for-estimating-the-proximity-of-vector-representation-groups-in-multidimensional-space-on-the-example-of-the-paraphrase-task-1908.09341</loc><lastmod>2019-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-method-for-estimating-the-proximity-of-vector-representation-groups-in-multidimensional-space-on-the-example-of-the-paraphrase-task-1908.09341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-method-for-estimating-the-proximity-of-vector-representation-groups-in-multidimensional-space-on-the-example-of-the-paraphrase-task-1908.09341"/></url>
<url><loc>https://scifaro.com/en/abs/almost-tune-free-variance-reduction-1908.09345</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/almost-tune-free-variance-reduction-1908.09345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/almost-tune-free-variance-reduction-1908.09345"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-construction-of-knowledge-graphs-from-text-and-code-1908.09354</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-construction-of-knowledge-graphs-from-text-and-code-1908.09354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-construction-of-knowledge-graphs-from-text-and-code-1908.09354"/></url>
<url><loc>https://scifaro.com/en/abs/dynamics-aware-embeddings-1908.09357</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamics-aware-embeddings-1908.09357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamics-aware-embeddings-1908.09357"/></url>
<url><loc>https://scifaro.com/en/abs/lightmc-a-dynamic-and-efficient-multiclass-decomposition-algorithm-1908.09362</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lightmc-a-dynamic-and-efficient-multiclass-decomposition-algorithm-1908.09362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lightmc-a-dynamic-and-efficient-multiclass-decomposition-algorithm-1908.09362"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-edit-attacks-for-tree-data-1908.09364</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-edit-attacks-for-tree-data-1908.09364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-edit-attacks-for-tree-data-1908.09364"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-issues-in-deep-networks-approximation-optimization-and-generalization-1908.09375</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-issues-in-deep-networks-approximation-optimization-and-generalization-1908.09375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-issues-in-deep-networks-approximation-optimization-and-generalization-1908.09375"/></url>
<url><loc>https://scifaro.com/en/abs/tutorial-and-survey-on-probabilistic-graphical-model-and-variational-inference-in-deep-reinforcement-learning-1908.09381</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tutorial-and-survey-on-probabilistic-graphical-model-and-variational-inference-in-deep-reinforcement-learning-1908.09381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tutorial-and-survey-on-probabilistic-graphical-model-and-variational-inference-in-deep-reinforcement-learning-1908.09381"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-probabilistic-matrix-factorization-with-graph-based-priors-1908.09393</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-probabilistic-matrix-factorization-with-graph-based-priors-1908.09393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-probabilistic-matrix-factorization-with-graph-based-priors-1908.09393"/></url>
<url><loc>https://scifaro.com/en/abs/improving-neural-story-generation-by-targeted-common-sense-grounding-1908.09451</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-neural-story-generation-by-targeted-common-sense-grounding-1908.09451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-neural-story-generation-by-targeted-common-sense-grounding-1908.09451"/></url>
<url><loc>https://scifaro.com/en/abs/openspiel-a-framework-for-reinforcement-learning-in-games-1908.09453</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/openspiel-a-framework-for-reinforcement-learning-in-games-1908.09453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/openspiel-a-framework-for-reinforcement-learning-in-games-1908.09453"/></url>
<url><loc>https://scifaro.com/en/abs/supporting-stylists-by-recommending-fashion-style-1908.09493</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supporting-stylists-by-recommending-fashion-style-1908.09493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supporting-stylists-by-recommending-fashion-style-1908.09493"/></url>
<url><loc>https://scifaro.com/en/abs/improvability-through-semi-supervised-learning-a-survey-of-theoretical-results-1908.09574</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improvability-through-semi-supervised-learning-a-survey-of-theoretical-results-1908.09574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improvability-through-semi-supervised-learning-a-survey-of-theoretical-results-1908.09574"/></url>
<url><loc>https://scifaro.com/en/abs/open-set-recognition-through-deep-neural-network-uncertainty-does-out-of-distribution-detection-require-generative-classifiers-1908.09625</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-set-recognition-through-deep-neural-network-uncertainty-does-out-of-distribution-detection-require-generative-classifiers-1908.09625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-set-recognition-through-deep-neural-network-uncertainty-does-out-of-distribution-detection-require-generative-classifiers-1908.09625"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-bias-and-fairness-in-machine-learning-1908.09635</loc><lastmod>2022-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-bias-and-fairness-in-machine-learning-1908.09635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-bias-and-fairness-in-machine-learning-1908.09635"/></url>
<url><loc>https://scifaro.com/en/abs/parity-partition-coding-for-sharp-multi-label-classification-1908.09651</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parity-partition-coding-for-sharp-multi-label-classification-1908.09651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parity-partition-coding-for-sharp-multi-label-classification-1908.09651"/></url>
<url><loc>https://scifaro.com/en/abs/preventing-the-generation-of-inconsistent-sets-of-classification-rules-1908.09652</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preventing-the-generation-of-inconsistent-sets-of-classification-rules-1908.09652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preventing-the-generation-of-inconsistent-sets-of-classification-rules-1908.09652"/></url>
<url><loc>https://scifaro.com/en/abs/variational-graph-recurrent-neural-networks-1908.09710</loc><lastmod>2020-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-graph-recurrent-neural-networks-1908.09710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-graph-recurrent-neural-networks-1908.09710"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametrics-for-non-exhaustive-learning-1908.09736</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametrics-for-non-exhaustive-learning-1908.09736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametrics-for-non-exhaustive-learning-1908.09736"/></url>
<url><loc>https://scifaro.com/en/abs/variationally-inferred-sampling-through-a-refined-bound-for-probabilistic-programs-1908.09744</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variationally-inferred-sampling-through-a-refined-bound-for-probabilistic-programs-1908.09744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variationally-inferred-sampling-through-a-refined-bound-for-probabilistic-programs-1908.09744"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-product-quantization-for-end-to-end-embedding-compression-1908.09756</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-product-quantization-for-end-to-end-embedding-compression-1908.09756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-product-quantization-for-end-to-end-embedding-compression-1908.09756"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-representation-of-deep-learning-1908.09772</loc><lastmod>2019-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-representation-of-deep-learning-1908.09772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-representation-of-deep-learning-1908.09772"/></url>
<url><loc>https://scifaro.com/en/abs/an-introduction-to-advanced-machine-learning-meta-learning-algorithms-applications-and-promises-1908.09788</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-introduction-to-advanced-machine-learning-meta-learning-algorithms-applications-and-promises-1908.09788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-introduction-to-advanced-machine-learning-meta-learning-algorithms-applications-and-promises-1908.09788"/></url>
<url><loc>https://scifaro.com/en/abs/once-for-all-train-one-network-and-specialize-it-for-efficient-deployment-1908.09791</loc><lastmod>2020-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/once-for-all-train-one-network-and-specialize-it-for-efficient-deployment-1908.09791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/once-for-all-train-one-network-and-specialize-it-for-efficient-deployment-1908.09791"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-independent-bounds-for-general-shallow-networks-1908.09880</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-independent-bounds-for-general-shallow-networks-1908.09880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-independent-bounds-for-general-shallow-networks-1908.09880"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-tensor-factorization-for-collaborative-health-data-analysis-1908.09888</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-tensor-factorization-for-collaborative-health-data-analysis-1908.09888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-tensor-factorization-for-collaborative-health-data-analysis-1908.09888"/></url>
<url><loc>https://scifaro.com/en/abs/syngan-towards-generating-synthetic-network-attacks-using-gans-1908.09899</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/syngan-towards-generating-synthetic-network-attacks-using-gans-1908.09899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/syngan-towards-generating-synthetic-network-attacks-using-gans-1908.09899"/></url>
<url><loc>https://scifaro.com/en/abs/complementary-similarity-learning-using-quadruplet-network-1908.09928</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complementary-similarity-learning-using-quadruplet-network-1908.09928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complementary-similarity-learning-using-quadruplet-network-1908.09928"/></url>
<url><loc>https://scifaro.com/en/abs/multi-stage-deep-classifier-cascades-for-open-world-recognition-1908.09931</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-stage-deep-classifier-cascades-for-open-world-recognition-1908.09931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-stage-deep-classifier-cascades-for-open-world-recognition-1908.09931"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-external-knowledge-for-out-of-vocabulary-entity-labeling-1908.09936</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-external-knowledge-for-out-of-vocabulary-entity-labeling-1908.09936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-external-knowledge-for-out-of-vocabulary-entity-labeling-1908.09936"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-optimization-for-non-convex-inf-projection-problems-1908.09941</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-optimization-for-non-convex-inf-projection-problems-1908.09941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-optimization-for-non-convex-inf-projection-problems-1908.09941"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-bounds-of-function-approximations-1908.09942</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-bounds-of-function-approximations-1908.09942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-bounds-of-function-approximations-1908.09942"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-comparison-between-stochastic-and-deterministic-centroid-initialisation-for-k-means-variations-1908.09946</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-comparison-between-stochastic-and-deterministic-centroid-initialisation-for-k-means-variations-1908.09946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-comparison-between-stochastic-and-deterministic-centroid-initialisation-for-k-means-variations-1908.09946"/></url>
<url><loc>https://scifaro.com/en/abs/theory-and-evaluation-metrics-for-learning-disentangled-representations-1908.09961</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-and-evaluation-metrics-for-learning-disentangled-representations-1908.09961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-and-evaluation-metrics-for-learning-disentangled-representations-1908.09961"/></url>
<url><loc>https://scifaro.com/en/abs/private-stochastic-convex-optimization-with-optimal-rates-1908.09970</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-stochastic-convex-optimization-with-optimal-rates-1908.09970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-stochastic-convex-optimization-with-optimal-rates-1908.09970"/></url>
<url><loc>https://scifaro.com/en/abs/deephoyer-learning-sparser-neural-network-with-differentiable-scale-invariant-sparsity-measures-1908.09979</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deephoyer-learning-sparser-neural-network-with-differentiable-scale-invariant-sparsity-measures-1908.09979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deephoyer-learning-sparser-neural-network-with-differentiable-scale-invariant-sparsity-measures-1908.09979"/></url>
<url><loc>https://scifaro.com/en/abs/automated-fashion-size-normalization-1908.09980</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-fashion-size-normalization-1908.09980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-fashion-size-normalization-1908.09980"/></url>
<url><loc>https://scifaro.com/en/abs/real-world-conversational-ai-for-hotel-bookings-1908.10001</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-world-conversational-ai-for-hotel-bookings-1908.10001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-world-conversational-ai-for-hotel-bookings-1908.10001"/></url>
<url><loc>https://scifaro.com/en/abs/finite-size-corrections-for-neural-network-gaussian-processes-1908.10030</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-size-corrections-for-neural-network-gaussian-processes-1908.10030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-size-corrections-for-neural-network-gaussian-processes-1908.10030"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-detection-of-ecg-abnormalities-by-using-an-ensemble-of-deep-residual-networks-with-attention-1908.10088</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-detection-of-ecg-abnormalities-by-using-an-ensemble-of-deep-residual-networks-with-attention-1908.10088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-detection-of-ecg-abnormalities-by-using-an-ensemble-of-deep-residual-networks-with-attention-1908.10088"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-improvement-of-a-question-answering-system-by-re-ranking-answer-candidates-using-machine-learning-1908.10149</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-improvement-of-a-question-answering-system-by-re-ranking-answer-candidates-using-machine-learning-1908.10149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-improvement-of-a-question-answering-system-by-re-ranking-answer-candidates-using-machine-learning-1908.10149"/></url>
<url><loc>https://scifaro.com/en/abs/key-protected-classification-for-collaborative-learning-1908.10172</loc><lastmod>2020-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/key-protected-classification-for-collaborative-learning-1908.10172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/key-protected-classification-for-collaborative-learning-1908.10172"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-embedding-method-in-match-for-session-based-recommendation-1908.10180</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-embedding-method-in-match-for-session-based-recommendation-1908.10180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-embedding-method-in-match-for-session-based-recommendation-1908.10180"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-approach-for-smartphone-based-sensing-of-roads-and-driving-style-1908.10187</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-approach-for-smartphone-based-sensing-of-roads-and-driving-style-1908.10187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-approach-for-smartphone-based-sensing-of-roads-and-driving-style-1908.10187"/></url>
<url><loc>https://scifaro.com/en/abs/the-many-faces-of-deep-learning-1908.10206</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-many-faces-of-deep-learning-1908.10206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-many-faces-of-deep-learning-1908.10206"/></url>
<url><loc>https://scifaro.com/en/abs/blended-convolution-and-synthesis-for-efficient-discrimination-of-3d-shapes-1908.10209</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blended-convolution-and-synthesis-for-efficient-discrimination-of-3d-shapes-1908.10209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blended-convolution-and-synthesis-for-efficient-discrimination-of-3d-shapes-1908.10209"/></url>
<url><loc>https://scifaro.com/en/abs/urban-flows-prediction-from-spatial-temporal-data-using-machine-learning-a-survey-1908.10218</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/urban-flows-prediction-from-spatial-temporal-data-using-machine-learning-a-survey-1908.10218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/urban-flows-prediction-from-spatial-temporal-data-using-machine-learning-a-survey-1908.10218"/></url>
<url><loc>https://scifaro.com/en/abs/learning-continually-from-low-shot-data-stream-1908.10223</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-continually-from-low-shot-data-stream-1908.10223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-continually-from-low-shot-data-stream-1908.10223"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-gaussian-processes-and-dilated-convolutional-networks-for-reconstruction-of-reproductive-hormonal-dynamics-1908.10226</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-gaussian-processes-and-dilated-convolutional-networks-for-reconstruction-of-reproductive-hormonal-dynamics-1908.10226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-gaussian-processes-and-dilated-convolutional-networks-for-reconstruction-of-reproductive-hormonal-dynamics-1908.10226"/></url>
<url><loc>https://scifaro.com/en/abs/learning-algebraic-models-of-quantum-entanglement-1908.10247</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-algebraic-models-of-quantum-entanglement-1908.10247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-algebraic-models-of-quantum-entanglement-1908.10247"/></url>
<url><loc>https://scifaro.com/en/abs/early-classification-for-agricultural-monitoring-from-satellite-time-series-1908.10283</loc><lastmod>2019-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-classification-for-agricultural-monitoring-from-satellite-time-series-1908.10283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-classification-for-agricultural-monitoring-from-satellite-time-series-1908.10283"/></url>
<url><loc>https://scifaro.com/en/abs/feedback-system-neural-networks-for-inferring-causality-in-directed-cyclic-graphs-1908.10336</loc><lastmod>2020-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feedback-system-neural-networks-for-inferring-causality-in-directed-cyclic-graphs-1908.10336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feedback-system-neural-networks-for-inferring-causality-in-directed-cyclic-graphs-1908.10336"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-large-scale-inference-with-anisotropic-vector-quantization-1908.10396</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-large-scale-inference-with-anisotropic-vector-quantization-1908.10396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-large-scale-inference-with-anisotropic-vector-quantization-1908.10396"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-theory-of-gradient-based-model-agnostic-meta-learning-algorithms-1908.10400</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-theory-of-gradient-based-model-agnostic-meta-learning-algorithms-1908.10400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-theory-of-gradient-based-model-agnostic-meta-learning-algorithms-1908.10400"/></url>
<url><loc>https://scifaro.com/en/abs/a-near-optimal-change-detection-based-algorithm-for-piecewise-stationary-combinatorial-semi-bandits-1908.10402</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-near-optimal-change-detection-based-algorithm-for-piecewise-stationary-combinatorial-semi-bandits-1908.10402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-near-optimal-change-detection-based-algorithm-for-piecewise-stationary-combinatorial-semi-bandits-1908.10402"/></url>
<url><loc>https://scifaro.com/en/abs/multiresolution-transformer-networks-recurrence-is-not-essential-for-modeling-hierarchical-structure-1908.10408</loc><lastmod>2019-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiresolution-transformer-networks-recurrence-is-not-essential-for-modeling-hierarchical-structure-1908.10408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiresolution-transformer-networks-recurrence-is-not-essential-for-modeling-hierarchical-structure-1908.10408"/></url>
<url><loc>https://scifaro.com/en/abs/complex-deep-learning-models-for-denoising-of-human-heart-ecg-signals-1908.10417</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complex-deep-learning-models-for-denoising-of-human-heart-ecg-signals-1908.10417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complex-deep-learning-models-for-denoising-of-human-heart-ecg-signals-1908.10417"/></url>
<url><loc>https://scifaro.com/en/abs/exploration-enhanced-politex-1908.10479</loc><lastmod>2019-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploration-enhanced-politex-1908.10479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploration-enhanced-politex-1908.10479"/></url>
<url><loc>https://scifaro.com/en/abs/the-function-representation-of-artificial-neural-network-1908.10493</loc><lastmod>2026-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-function-representation-of-artificial-neural-network-1908.10493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-function-representation-of-artificial-neural-network-1908.10493"/></url>
<url><loc>https://scifaro.com/en/abs/detection-of-backdoors-in-trained-classifiers-without-access-to-the-training-set-1908.10498</loc><lastmod>2020-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-of-backdoors-in-trained-classifiers-without-access-to-the-training-set-1908.10498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-of-backdoors-in-trained-classifiers-without-access-to-the-training-set-1908.10498"/></url>
<url><loc>https://scifaro.com/en/abs/similarity-kernel-and-clustering-via-random-projection-forests-1908.10506</loc><lastmod>2019-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/similarity-kernel-and-clustering-via-random-projection-forests-1908.10506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/similarity-kernel-and-clustering-via-random-projection-forests-1908.10506"/></url>
<url><loc>https://scifaro.com/en/abs/o-medal-online-active-deep-learning-for-medical-image-analysis-1908.10508</loc><lastmod>2020-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/o-medal-online-active-deep-learning-for-medical-image-analysis-1908.10508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/o-medal-online-active-deep-learning-for-medical-image-analysis-1908.10508"/></url>
<url><loc>https://scifaro.com/en/abs/r-enyi-differential-privacy-of-the-sampled-gaussian-mechanism-1908.10530</loc><lastmod>2019-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/r-enyi-differential-privacy-of-the-sampled-gaussian-mechanism-1908.10530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/r-enyi-differential-privacy-of-the-sampled-gaussian-mechanism-1908.10530"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-domain-adaptation-via-soft-transfer-network-1908.10552</loc><lastmod>2019-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-domain-adaptation-via-soft-transfer-network-1908.10552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-domain-adaptation-via-soft-transfer-network-1908.10552"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-embedding-bem-refining-representation-by-integrating-knowledge-graphs-and-behavior-specific-networks-1908.10611</loc><lastmod>2019-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-embedding-bem-refining-representation-by-integrating-knowledge-graphs-and-behavior-specific-networks-1908.10611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-embedding-bem-refining-representation-by-integrating-knowledge-graphs-and-behavior-specific-networks-1908.10611"/></url>
<url><loc>https://scifaro.com/en/abs/emotion-recognition-in-low-resource-settings-an-evaluation-of-automatic-feature-selection-methods-1908.10623</loc><lastmod>2020-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emotion-recognition-in-low-resource-settings-an-evaluation-of-automatic-feature-selection-methods-1908.10623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emotion-recognition-in-low-resource-settings-an-evaluation-of-automatic-feature-selection-methods-1908.10623"/></url>
<url><loc>https://scifaro.com/en/abs/improving-a-state-of-the-art-heuristic-for-the-minimum-latency-problem-with-data-mining-1908.10705</loc><lastmod>2023-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-a-state-of-the-art-heuristic-for-the-minimum-latency-problem-with-data-mining-1908.10705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-a-state-of-the-art-heuristic-for-the-minimum-latency-problem-with-data-mining-1908.10705"/></url>
<url><loc>https://scifaro.com/en/abs/testing-neural-program-analyzers-1908.10711</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-neural-program-analyzers-1908.10711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-neural-program-analyzers-1908.10711"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-algorithm-for-disaggregating-low-sampling-rate-electricity-consumption-of-households-1908.10713</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-algorithm-for-disaggregating-low-sampling-rate-electricity-consumption-of-households-1908.10713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-algorithm-for-disaggregating-low-sampling-rate-electricity-consumption-of-households-1908.10713"/></url>
<url><loc>https://scifaro.com/en/abs/automated-architecture-design-for-deep-neural-networks-1908.10714</loc><lastmod>2019-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-architecture-design-for-deep-neural-networks-1908.10714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-architecture-design-for-deep-neural-networks-1908.10714"/></url>
<url><loc>https://scifaro.com/en/abs/networked-control-of-nonlinear-systems-under-partial-observation-using-continuous-deep-q-learning-1908.10722</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/networked-control-of-nonlinear-systems-under-partial-observation-using-continuous-deep-q-learning-1908.10722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/networked-control-of-nonlinear-systems-under-partial-observation-using-continuous-deep-q-learning-1908.10722"/></url>
<url><loc>https://scifaro.com/en/abs/deep-actor-critic-reinforcement-learning-for-anomaly-detection-1908.10755</loc><lastmod>2019-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-actor-critic-reinforcement-learning-for-anomaly-detection-1908.10755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-actor-critic-reinforcement-learning-for-anomaly-detection-1908.10755"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-auc-maximization-with-deep-neural-networks-1908.10831</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-auc-maximization-with-deep-neural-networks-1908.10831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-auc-maximization-with-deep-neural-networks-1908.10831"/></url>
<url><loc>https://scifaro.com/en/abs/data-ultrametricity-and-clusterability-1908.10833</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-ultrametricity-and-clusterability-1908.10833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-ultrametricity-and-clusterability-1908.10833"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-theory-review-an-optimal-control-and-dynamical-systems-perspective-1908.10920</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-theory-review-an-optimal-control-and-dynamical-systems-perspective-1908.10920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-theory-review-an-optimal-control-and-dynamical-systems-perspective-1908.10920"/></url>
<url><loc>https://scifaro.com/en/abs/solving-math-word-problems-with-double-decoder-transformer-1908.10924</loc><lastmod>2019-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-math-word-problems-with-double-decoder-transformer-1908.10924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-math-word-problems-with-double-decoder-transformer-1908.10924"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-transport-mapping-via-input-convex-neural-networks-1908.10962</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-transport-mapping-via-input-convex-neural-networks-1908.10962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-transport-mapping-via-input-convex-neural-networks-1908.10962"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-deep-learning-for-precipitation-nowcasting-1908.10964</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-deep-learning-for-precipitation-nowcasting-1908.10964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-deep-learning-for-precipitation-nowcasting-1908.10964"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-regularization-for-combating-mode-collapse-in-gans-1908.10999</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-regularization-for-combating-mode-collapse-in-gans-1908.10999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-regularization-for-combating-mode-collapse-in-gans-1908.10999"/></url>
<url><loc>https://scifaro.com/en/abs/an-auto-ml-framework-based-on-gbdt-for-lifelong-learning-1908.11033</loc><lastmod>2019-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-auto-ml-framework-based-on-gbdt-for-lifelong-learning-1908.11033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-auto-ml-framework-based-on-gbdt-for-lifelong-learning-1908.11033"/></url>
<url><loc>https://scifaro.com/en/abs/solving-discounted-stochastic-two-player-games-with-near-optimal-time-and-sample-complexity-1908.11071</loc><lastmod>2019-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-discounted-stochastic-two-player-games-with-near-optimal-time-and-sample-complexity-1908.11071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-discounted-stochastic-two-player-games-with-near-optimal-time-and-sample-complexity-1908.11071"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-network-ensembles-against-deception-ensemble-diversity-accuracy-and-robustness-1908.11091</loc><lastmod>2019-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-ensembles-against-deception-ensemble-diversity-accuracy-and-robustness-1908.11091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-ensembles-against-deception-ensemble-diversity-accuracy-and-robustness-1908.11091"/></url>
<url><loc>https://scifaro.com/en/abs/inferpy-probabilistic-modeling-with-deep-neural-networks-made-easy-1908.11161</loc><lastmod>2020-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferpy-probabilistic-modeling-with-deep-neural-networks-made-easy-1908.11161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferpy-probabilistic-modeling-with-deep-neural-networks-made-easy-1908.11161"/></url>
<url><loc>https://scifaro.com/en/abs/defeating-misclassification-attacks-against-transfer-learning-1908.11230</loc><lastmod>2022-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defeating-misclassification-attacks-against-transfer-learning-1908.11230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defeating-misclassification-attacks-against-transfer-learning-1908.11230"/></url>
<url><loc>https://scifaro.com/en/abs/smaller-models-better-generalization-1908.11250</loc><lastmod>2019-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smaller-models-better-generalization-1908.11250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smaller-models-better-generalization-1908.11250"/></url>
<url><loc>https://scifaro.com/en/abs/universal-transferable-and-targeted-adversarial-attacks-1908.11332</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-transferable-and-targeted-adversarial-attacks-1908.11332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-transferable-and-targeted-adversarial-attacks-1908.11332"/></url>
<url><loc>https://scifaro.com/en/abs/nearly-tight-bounds-for-robust-proper-learning-of-halfspaces-with-a-margin-1908.11335</loc><lastmod>2019-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearly-tight-bounds-for-robust-proper-learning-of-halfspaces-with-a-margin-1908.11335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearly-tight-bounds-for-robust-proper-learning-of-halfspaces-with-a-margin-1908.11335"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-domain-classification-in-a-commercial-spoken-personal-assistant-1908.11404</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-domain-classification-in-a-commercial-spoken-personal-assistant-1908.11404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-domain-classification-in-a-commercial-spoken-personal-assistant-1908.11404"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-transfer-learn-reinforcement-learning-based-selection-for-adaptive-transfer-learning-1908.11406</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-transfer-learn-reinforcement-learning-based-selection-for-adaptive-transfer-learning-1908.11406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-transfer-learn-reinforcement-learning-based-selection-for-adaptive-transfer-learning-1908.11406"/></url>
<url><loc>https://scifaro.com/en/abs/translating-math-formula-images-to-latex-sequences-using-deep-neural-networks-with-sequence-level-training-1908.11415</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/translating-math-formula-images-to-latex-sequences-using-deep-neural-networks-with-sequence-level-training-1908.11415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/translating-math-formula-images-to-latex-sequences-using-deep-neural-networks-with-sequence-level-training-1908.11415"/></url>
<url><loc>https://scifaro.com/en/abs/improving-adversarial-robustness-via-attention-and-adversarial-logit-pairing-1908.11435</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-adversarial-robustness-via-attention-and-adversarial-logit-pairing-1908.11435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-adversarial-robustness-via-attention-and-adversarial-logit-pairing-1908.11435"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-inference-on-mobile-socs-1908.11450</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-inference-on-mobile-socs-1908.11450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-inference-on-mobile-socs-1908.11450"/></url>
<url><loc>https://scifaro.com/en/abs/potential-flow-generator-with-l-2-optimal-transport-regularity-for-generative-models-1908.11462</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/potential-flow-generator-with-l-2-optimal-transport-regularity-for-generative-models-1908.11462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/potential-flow-generator-with-l-2-optimal-transport-regularity-for-generative-models-1908.11462"/></url>
<url><loc>https://scifaro.com/en/abs/a-queuing-approach-to-parking-modeling-verification-and-prediction-1908.11479</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-queuing-approach-to-parking-modeling-verification-and-prediction-1908.11479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-queuing-approach-to-parking-modeling-verification-and-prediction-1908.11479"/></url>
<url><loc>https://scifaro.com/en/abs/tgg-transferable-graph-generation-for-zero-shot-and-few-shot-learning-1908.11503</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tgg-transferable-graph-generation-for-zero-shot-and-few-shot-learning-1908.11503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tgg-transferable-graph-generation-for-zero-shot-and-few-shot-learning-1908.11503"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-methods-for-network-embedding-1908.11514</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-methods-for-network-embedding-1908.11514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-methods-for-network-embedding-1908.11514"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-deep-latent-variable-models-for-text-generation-1908.11527</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-deep-latent-variable-models-for-text-generation-1908.11527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-deep-latent-variable-models-for-text-generation-1908.11527"/></url>
<url><loc>https://scifaro.com/en/abs/handwritten-chinese-character-recognition-by-convolutional-neural-network-and-similarity-ranking-1908.11550</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/handwritten-chinese-character-recognition-by-convolutional-neural-network-and-similarity-ranking-1908.11550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/handwritten-chinese-character-recognition-by-convolutional-neural-network-and-similarity-ranking-1908.11550"/></url>
<url><loc>https://scifaro.com/en/abs/credit-card-fraud-detection-using-autoencoder-neural-network-1908.11553</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/credit-card-fraud-detection-using-autoencoder-neural-network-1908.11553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/credit-card-fraud-detection-using-autoencoder-neural-network-1908.11553"/></url>
<url><loc>https://scifaro.com/en/abs/graph-convolutional-networks-for-road-networks-1908.11567</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-convolutional-networks-for-road-networks-1908.11567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-convolutional-networks-for-road-networks-1908.11567"/></url>
<url><loc>https://scifaro.com/en/abs/rewarding-high-quality-data-via-influence-functions-1908.11598</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rewarding-high-quality-data-via-influence-functions-1908.11598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rewarding-high-quality-data-via-influence-functions-1908.11598"/></url>
<url><loc>https://scifaro.com/en/abs/autoregressive-text-generation-beyond-feedback-loops-1908.11658</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoregressive-text-generation-beyond-feedback-loops-1908.11658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoregressive-text-generation-beyond-feedback-loops-1908.11658"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-reliable-correlations-in-categorical-data-1908.11682</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-reliable-correlations-in-categorical-data-1908.11682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-reliable-correlations-in-categorical-data-1908.11682"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-body-mass-index-from-photographs-using-deep-convolutional-neural-networks-1908.11694</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-body-mass-index-from-photographs-using-deep-convolutional-neural-networks-1908.11694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-body-mass-index-from-photographs-using-deep-convolutional-neural-networks-1908.11694"/></url>
<url><loc>https://scifaro.com/en/abs/transformer-dissection-a-unified-understanding-of-transformer-s-attention-via-the-lens-of-kernel-1908.11775</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformer-dissection-a-unified-understanding-of-transformer-s-attention-via-the-lens-of-kernel-1908.11775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformer-dissection-a-unified-understanding-of-transformer-s-attention-via-the-lens-of-kernel-1908.11775"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-and-finite-sample-behavior-of-binary-class-probability-estimation-1908.11823</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-and-finite-sample-behavior-of-binary-class-probability-estimation-1908.11823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-and-finite-sample-behavior-of-binary-class-probability-estimation-1908.11823"/></url>
<url><loc>https://scifaro.com/en/abs/partitioned-integrators-for-thermodynamic-parameterization-of-neural-networks-1908.11843</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partitioned-integrators-for-thermodynamic-parameterization-of-neural-networks-1908.11843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partitioned-integrators-for-thermodynamic-parameterization-of-neural-networks-1908.11843"/></url>
<url><loc>https://scifaro.com/en/abs/boovae-boosting-approach-for-continual-learning-of-vae-1908.11853</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boovae-boosting-approach-for-continual-learning-of-vae-1908.11853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boovae-boosting-approach-for-continual-learning-of-vae-1908.11853"/></url>
<url><loc>https://scifaro.com/en/abs/systematic-analysis-of-image-generation-using-gans-1908.11863</loc><lastmod>2019-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/systematic-analysis-of-image-generation-using-gans-1908.11863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/systematic-analysis-of-image-generation-using-gans-1908.11863"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-stacked-and-bidirectional-recurrent-architectures-with-the-delayed-recurrent-neural-network-1909.00021</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-stacked-and-bidirectional-recurrent-architectures-with-the-delayed-recurrent-neural-network-1909.00021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-stacked-and-bidirectional-recurrent-architectures-with-the-delayed-recurrent-neural-network-1909.00021"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-with-warped-gradient-descent-1909.00025</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-with-warped-gradient-descent-1909.00025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-with-warped-gradient-descent-1909.00025"/></url>
<url><loc>https://scifaro.com/en/abs/gadmm-fast-and-communication-efficient-framework-for-distributed-machine-learning-1909.00047</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gadmm-fast-and-communication-efficient-framework-for-distributed-machine-learning-1909.00047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gadmm-fast-and-communication-efficient-framework-for-distributed-machine-learning-1909.00047"/></url>
<url><loc>https://scifaro.com/en/abs/learning-digital-circuits-a-journey-through-weight-invariant-self-pruning-neural-networks-1909.00052</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-digital-circuits-a-journey-through-weight-invariant-self-pruning-neural-networks-1909.00052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-digital-circuits-a-journey-through-weight-invariant-self-pruning-neural-networks-1909.00052"/></url>
<url><loc>https://scifaro.com/en/abs/hm-nas-efficient-neural-architecture-search-via-hierarchical-masking-1909.00122</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hm-nas-efficient-neural-architecture-search-via-hierarchical-masking-1909.00122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hm-nas-efficient-neural-architecture-search-via-hierarchical-masking-1909.00122"/></url>
<url><loc>https://scifaro.com/en/abs/extracting-information-from-free-text-through-unsupervised-graph-based-clustering-an-application-to-patient-incident-records-1909.00183</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extracting-information-from-free-text-through-unsupervised-graph-based-clustering-an-application-to-patient-incident-records-1909.00183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extracting-information-from-free-text-through-unsupervised-graph-based-clustering-an-application-to-patient-incident-records-1909.00183"/></url>
<url><loc>https://scifaro.com/en/abs/epistemic-uncertainty-sampling-1909.00218</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/epistemic-uncertainty-sampling-1909.00218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/epistemic-uncertainty-sampling-1909.00218"/></url>
<url><loc>https://scifaro.com/en/abs/gated-graph-recursive-neural-networks-for-molecular-property-prediction-1909.00259</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gated-graph-recursive-neural-networks-for-molecular-property-prediction-1909.00259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gated-graph-recursive-neural-networks-for-molecular-property-prediction-1909.00259"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-detection-of-bowel-disease-with-residual-networks-1909.00276</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-detection-of-bowel-disease-with-residual-networks-1909.00276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-detection-of-bowel-disease-with-residual-networks-1909.00276"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-reinforcement-learning-based-neural-architecture-search-for-cancer-deep-learning-research-1909.00311</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-reinforcement-learning-based-neural-architecture-search-for-cancer-deep-learning-research-1909.00311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-reinforcement-learning-based-neural-architecture-search-for-cancer-deep-learning-research-1909.00311"/></url>
<url><loc>https://scifaro.com/en/abs/deephealth-review-and-challenges-of-artificial-intelligence-in-health-informatics-1909.00384</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deephealth-review-and-challenges-of-artificial-intelligence-in-health-informatics-1909.00384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deephealth-review-and-challenges-of-artificial-intelligence-in-health-informatics-1909.00384"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-just-a-few-keywords-for-fine-grained-aspect-detection-through-weakly-supervised-co-training-1909.00415</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-just-a-few-keywords-for-fine-grained-aspect-detection-through-weakly-supervised-co-training-1909.00415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-just-a-few-keywords-for-fine-grained-aspect-detection-through-weakly-supervised-co-training-1909.00415"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-between-related-tasks-using-expected-label-proportions-1909.00430</loc><lastmod>2019-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-between-related-tasks-using-expected-label-proportions-1909.00430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-between-related-tasks-using-expected-label-proportions-1909.00430"/></url>
<url><loc>https://scifaro.com/en/abs/topics-to-avoid-demoting-latent-confounds-in-text-classification-1909.00453</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topics-to-avoid-demoting-latent-confounds-in-text-classification-1909.00453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topics-to-avoid-demoting-latent-confounds-in-text-classification-1909.00453"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-by-kernel-intrinsic-invariance-measure-1909.00513</loc><lastmod>2019-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-by-kernel-intrinsic-invariance-measure-1909.00513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-by-kernel-intrinsic-invariance-measure-1909.00513"/></url>
<url><loc>https://scifaro.com/en/abs/active-collaborative-sensing-for-energy-breakdown-1909.00525</loc><lastmod>2019-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-collaborative-sensing-for-energy-breakdown-1909.00525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-collaborative-sensing-for-energy-breakdown-1909.00525"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-networks-for-time-series-forecasting-current-status-and-future-directions-1909.00590</loc><lastmod>2020-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-networks-for-time-series-forecasting-current-status-and-future-directions-1909.00590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-networks-for-time-series-forecasting-current-status-and-future-directions-1909.00590"/></url>
<url><loc>https://scifaro.com/en/abs/guided-random-forest-and-its-application-to-data-approximation-1909.00659</loc><lastmod>2025-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guided-random-forest-and-its-application-to-data-approximation-1909.00659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guided-random-forest-and-its-application-to-data-approximation-1909.00659"/></url>
<url><loc>https://scifaro.com/en/abs/logic-and-the-2-simplicial-transformer-1909.00668</loc><lastmod>2019-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logic-and-the-2-simplicial-transformer-1909.00668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logic-and-the-2-simplicial-transformer-1909.00668"/></url>
<url><loc>https://scifaro.com/en/abs/an-adjusted-nearest-neighbor-algorithm-maximizing-the-f-measure-from-imbalanced-data-1909.00693</loc><lastmod>2020-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adjusted-nearest-neighbor-algorithm-maximizing-the-f-measure-from-imbalanced-data-1909.00693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adjusted-nearest-neighbor-algorithm-maximizing-the-f-measure-from-imbalanced-data-1909.00693"/></url>
<url><loc>https://scifaro.com/en/abs/simple-and-optimal-high-probability-bounds-for-strongly-convex-stochastic-gradient-descent-1909.00843</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-and-optimal-high-probability-bounds-for-strongly-convex-stochastic-gradient-descent-1909.00843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-and-optimal-high-probability-bounds-for-strongly-convex-stochastic-gradient-descent-1909.00843"/></url>
<url><loc>https://scifaro.com/en/abs/further-results-on-structured-regression-for-multi-scale-networks-1909.00853</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/further-results-on-structured-regression-for-multi-scale-networks-1909.00853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/further-results-on-structured-regression-for-multi-scale-networks-1909.00853"/></url>
<url><loc>https://scifaro.com/en/abs/a-surprisingly-effective-fix-for-deep-latent-variable-modeling-of-text-1909.00868</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-surprisingly-effective-fix-for-deep-latent-variable-modeling-of-text-1909.00868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-surprisingly-effective-fix-for-deep-latent-variable-modeling-of-text-1909.00868"/></url>
<url><loc>https://scifaro.com/en/abs/metric-learning-for-adversarial-robustness-1909.00900</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-learning-for-adversarial-robustness-1909.00900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-learning-for-adversarial-robustness-1909.00900"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-approach-to-encoding-and-decoding-3-d-crystal-structures-1909.00949</loc><lastmod>2019-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-approach-to-encoding-and-decoding-3-d-crystal-structures-1909.00949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-approach-to-encoding-and-decoding-3-d-crystal-structures-1909.00949"/></url>
<url><loc>https://scifaro.com/en/abs/graph-representation-learning-a-survey-1909.00958</loc><lastmod>2020-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-representation-learning-a-survey-1909.00958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-representation-learning-a-survey-1909.00958"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-deep-learning-for-mental-disorders-prediction-from-audio-speech-samples-1909.01067</loc><lastmod>2020-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-deep-learning-for-mental-disorders-prediction-from-audio-speech-samples-1909.01067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-deep-learning-for-mental-disorders-prediction-from-audio-speech-samples-1909.01067"/></url>
<url><loc>https://scifaro.com/en/abs/neural-policy-gradient-methods-global-optimality-and-rates-of-convergence-1909.01150</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-policy-gradient-methods-global-optimality-and-rates-of-convergence-1909.01150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-policy-gradient-methods-global-optimality-and-rates-of-convergence-1909.01150"/></url>
<url><loc>https://scifaro.com/en/abs/towards-automated-feature-engineering-for-credit-card-fraud-detection-using-multi-perspective-hmms-1909.01185</loc><lastmod>2019-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-automated-feature-engineering-for-credit-card-fraud-detection-using-multi-perspective-hmms-1909.01185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-automated-feature-engineering-for-credit-card-fraud-detection-using-multi-perspective-hmms-1909.01185"/></url>
<url><loc>https://scifaro.com/en/abs/personalizing-smartwatch-based-activity-recognition-using-transfer-learning-1909.01202</loc><lastmod>2019-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalizing-smartwatch-based-activity-recognition-using-transfer-learning-1909.01202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalizing-smartwatch-based-activity-recognition-using-transfer-learning-1909.01202"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-downstream-performance-of-compressed-word-embeddings-1909.01264</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-downstream-performance-of-compressed-word-embeddings-1909.01264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-downstream-performance-of-compressed-word-embeddings-1909.01264"/></url>
<url><loc>https://scifaro.com/en/abs/deep-graph-library-a-graph-centric-highly-performant-package-for-graph-neural-networks-1909.01315</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-graph-library-a-graph-centric-highly-performant-package-for-graph-neural-networks-1909.01315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-graph-library-a-graph-centric-highly-performant-package-for-graph-neural-networks-1909.01315"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-in-transfer-learning-1909.01331</loc><lastmod>2024-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-in-transfer-learning-1909.01331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-in-transfer-learning-1909.01331"/></url>
<url><loc>https://scifaro.com/en/abs/deep-equilibrium-models-1909.01377</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-equilibrium-models-1909.01377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-equilibrium-models-1909.01377"/></url>
<url><loc>https://scifaro.com/en/abs/making-efficient-use-of-demonstrations-to-solve-hard-exploration-problems-1909.01387</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-efficient-use-of-demonstrations-to-solve-hard-exploration-problems-1909.01387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-efficient-use-of-demonstrations-to-solve-hard-exploration-problems-1909.01387"/></url>
<url><loc>https://scifaro.com/en/abs/brain2char-a-deep-architecture-for-decoding-text-from-brain-recordings-1909.01401</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/brain2char-a-deep-architecture-for-decoding-text-from-brain-recordings-1909.01401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/brain2char-a-deep-architecture-for-decoding-text-from-brain-recordings-1909.01401"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-probabilistic-principal-geodesic-analysis-1909.01412</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-probabilistic-principal-geodesic-analysis-1909.01412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-probabilistic-principal-geodesic-analysis-1909.01412"/></url>
<url><loc>https://scifaro.com/en/abs/lca-loss-change-allocation-for-neural-network-training-1909.01440</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lca-loss-change-allocation-for-neural-network-training-1909.01440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lca-loss-change-allocation-for-neural-network-training-1909.01440"/></url>
<url><loc>https://scifaro.com/en/abs/minimizing-the-societal-cost-of-credit-card-fraud-with-limited-and-imbalanced-data-1909.01486</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimizing-the-societal-cost-of-credit-card-fraud-with-limited-and-imbalanced-data-1909.01486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimizing-the-societal-cost-of-credit-card-fraud-with-limited-and-imbalanced-data-1909.01486"/></url>
<url><loc>https://scifaro.com/en/abs/rlpyt-a-research-code-base-for-deep-reinforcement-learning-in-pytorch-1909.01500</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rlpyt-a-research-code-base-for-deep-reinforcement-learning-in-pytorch-1909.01500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rlpyt-a-research-code-base-for-deep-reinforcement-learning-in-pytorch-1909.01500"/></url>
<url><loc>https://scifaro.com/en/abs/censored-semi-bandits-a-framework-for-resource-allocation-with-censored-feedback-1909.01504</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/censored-semi-bandits-a-framework-for-resource-allocation-with-censored-feedback-1909.01504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/censored-semi-bandits-a-framework-for-resource-allocation-with-censored-feedback-1909.01504"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-consistency-curvature-representation-learning-for-locally-linear-control-1909.01506</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-consistency-curvature-representation-learning-for-locally-linear-control-1909.01506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-consistency-curvature-representation-learning-for-locally-linear-control-1909.01506"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-estimation-with-the-ordered-ell-2-regularization-via-an-alternating-direction-method-of-multipliers-1909.01519</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-estimation-with-the-ordered-ell-2-regularization-via-an-alternating-direction-method-of-multipliers-1909.01519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-estimation-with-the-ordered-ell-2-regularization-via-an-alternating-direction-method-of-multipliers-1909.01519"/></url>
<url><loc>https://scifaro.com/en/abs/lifelong-machine-learning-with-deep-streaming-linear-discriminant-analysis-1909.01520</loc><lastmod>2020-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifelong-machine-learning-with-deep-streaming-linear-discriminant-analysis-1909.01520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifelong-machine-learning-with-deep-streaming-linear-discriminant-analysis-1909.01520"/></url>
<url><loc>https://scifaro.com/en/abs/what-happens-on-the-edge-stays-on-the-edge-toward-compressive-deep-learning-1909.01539</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-happens-on-the-edge-stays-on-the-edge-toward-compressive-deep-learning-1909.01539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-happens-on-the-edge-stays-on-the-edge-toward-compressive-deep-learning-1909.01539"/></url>
<url><loc>https://scifaro.com/en/abs/graph-transfer-learning-via-adversarial-domain-adaptation-with-graph-convolution-1909.01541</loc><lastmod>2022-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-transfer-learning-via-adversarial-domain-adaptation-with-graph-convolution-1909.01541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-transfer-learning-via-adversarial-domain-adaptation-with-graph-convolution-1909.01541"/></url>
<url><loc>https://scifaro.com/en/abs/towards-automatic-detection-of-misinformation-in-online-medical-videos-1909.01543</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-automatic-detection-of-misinformation-in-online-medical-videos-1909.01543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-automatic-detection-of-misinformation-in-online-medical-videos-1909.01543"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-representations-in-reinforcement-learning-1909.01575</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-representations-in-reinforcement-learning-1909.01575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-representations-in-reinforcement-learning-1909.01575"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-hypothesis-space-reduction-1909.01576</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-hypothesis-space-reduction-1909.01576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-hypothesis-space-reduction-1909.01576"/></url>
<url><loc>https://scifaro.com/en/abs/model-asset-exchange-path-to-ubiquitous-deep-learning-deployment-1909.01606</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-asset-exchange-path-to-ubiquitous-deep-learning-deployment-1909.01606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-asset-exchange-path-to-ubiquitous-deep-learning-deployment-1909.01606"/></url>
<url><loc>https://scifaro.com/en/abs/ledeepchef-deep-reinforcement-learning-agent-for-families-of-text-based-games-1909.01646</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ledeepchef-deep-reinforcement-learning-agent-for-families-of-text-based-games-1909.01646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ledeepchef-deep-reinforcement-learning-agent-for-families-of-text-based-games-1909.01646"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-distillation-for-optimization-of-quantized-deep-neural-networks-1909.01688</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-distillation-for-optimization-of-quantized-deep-neural-networks-1909.01688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-distillation-for-optimization-of-quantized-deep-neural-networks-1909.01688"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-human-level-accuracy-computational-challenges-in-deep-learning-1909.01736</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-human-level-accuracy-computational-challenges-in-deep-learning-1909.01736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-human-level-accuracy-computational-challenges-in-deep-learning-1909.01736"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-memory-networks-for-streaming-based-active-one-shot-learning-1909.01757</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-memory-networks-for-streaming-based-active-one-shot-learning-1909.01757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-memory-networks-for-streaming-based-active-one-shot-learning-1909.01757"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-two-value-functions-instead-of-one-towards-characterizing-a-new-family-of-deep-reinforcement-learning-algorithms-1909.01779</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-two-value-functions-instead-of-one-towards-characterizing-a-new-family-of-deep-reinforcement-learning-algorithms-1909.01779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-two-value-functions-instead-of-one-towards-characterizing-a-new-family-of-deep-reinforcement-learning-algorithms-1909.01779"/></url>
<url><loc>https://scifaro.com/en/abs/oracle-efficient-private-non-convex-optimization-1909.01783</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oracle-efficient-private-non-convex-optimization-1909.01783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oracle-efficient-private-non-convex-optimization-1909.01783"/></url>
<url><loc>https://scifaro.com/en/abs/dual-student-breaking-the-limits-of-the-teacher-in-semi-supervised-learning-1909.01804</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-student-breaking-the-limits-of-the-teacher-in-semi-supervised-learning-1909.01804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-student-breaking-the-limits-of-the-teacher-in-semi-supervised-learning-1909.01804"/></url>
<url><loc>https://scifaro.com/en/abs/learning-distributions-generated-by-one-layer-relu-networks-1909.01812</loc><lastmod>2019-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-distributions-generated-by-one-layer-relu-networks-1909.01812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-distributions-generated-by-one-layer-relu-networks-1909.01812"/></url>
<url><loc>https://scifaro.com/en/abs/high-accuracy-and-high-fidelity-extraction-of-neural-networks-1909.01838</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-accuracy-and-high-fidelity-extraction-of-neural-networks-1909.01838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-accuracy-and-high-fidelity-extraction-of-neural-networks-1909.01838"/></url>
<url><loc>https://scifaro.com/en/abs/improving-disentangled-representation-learning-with-the-beta-bernoulli-process-1909.01839</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-disentangled-representation-learning-with-the-beta-bernoulli-process-1909.01839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-disentangled-representation-learning-with-the-beta-bernoulli-process-1909.01839"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-bias-in-machine-learning-1909.01866</loc><lastmod>2019-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-bias-in-machine-learning-1909.01866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-bias-in-machine-learning-1909.01866"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-integrated-gradients-a-practical-method-for-explaining-diverse-ensembles-1909.01869</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-integrated-gradients-a-practical-method-for-explaining-diverse-ensembles-1909.01869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-integrated-gradients-a-practical-method-for-explaining-diverse-ensembles-1909.01869"/></url>
<url><loc>https://scifaro.com/en/abs/efron-stein-pac-bayesian-inequalities-1909.01931</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efron-stein-pac-bayesian-inequalities-1909.01931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efron-stein-pac-bayesian-inequalities-1909.01931"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-analysis-with-n-mode-generalized-difference-subspace-1909.01954</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-analysis-with-n-mode-generalized-difference-subspace-1909.01954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-analysis-with-n-mode-generalized-difference-subspace-1909.01954"/></url>
<url><loc>https://scifaro.com/en/abs/a-constructive-approach-for-data-driven-randomized-learning-of-feedforward-neural-networks-1909.01961</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-constructive-approach-for-data-driven-randomized-learning-of-feedforward-neural-networks-1909.01961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-constructive-approach-for-data-driven-randomized-learning-of-feedforward-neural-networks-1909.01961"/></url>
<url><loc>https://scifaro.com/en/abs/quasi-newton-optimization-methods-for-deep-learning-applications-1909.01994</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quasi-newton-optimization-methods-for-deep-learning-applications-1909.01994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quasi-newton-optimization-methods-for-deep-learning-applications-1909.01994"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-with-relational-information-for-short-sequences-1909.02105</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-with-relational-information-for-short-sequences-1909.02105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-with-relational-information-for-short-sequences-1909.02105"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-embeddings-using-complementary-partitions-for-memory-efficient-recommendation-systems-1909.02107</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-embeddings-using-complementary-partitions-for-memory-efficient-recommendation-systems-1909.02107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-embeddings-using-complementary-partitions-for-memory-efficient-recommendation-systems-1909.02107"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-linear-optimization-with-adversarial-corruption-1909.02109</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-linear-optimization-with-adversarial-corruption-1909.02109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-linear-optimization-with-adversarial-corruption-1909.02109"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-neural-networks-and-adaptive-neuro-fuzzy-models-for-prediction-of-remaining-useful-life-1909.02115</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-neural-networks-and-adaptive-neuro-fuzzy-models-for-prediction-of-remaining-useful-life-1909.02115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-neural-networks-and-adaptive-neuro-fuzzy-models-for-prediction-of-remaining-useful-life-1909.02115"/></url>
<url><loc>https://scifaro.com/en/abs/atypical-facial-landmark-localisation-with-stacked-hourglass-networks-a-study-on-3d-facial-modelling-for-medical-diagnosis-1909.02157</loc><lastmod>2019-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/atypical-facial-landmark-localisation-with-stacked-hourglass-networks-a-study-on-3d-facial-modelling-for-medical-diagnosis-1909.02157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/atypical-facial-landmark-localisation-with-stacked-hourglass-networks-a-study-on-3d-facial-modelling-for-medical-diagnosis-1909.02157"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-label-proportions-with-generative-adversarial-networks-1909.02180</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-label-proportions-with-generative-adversarial-networks-1909.02180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-label-proportions-with-generative-adversarial-networks-1909.02180"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-and-efficient-algorithms-for-tracking-the-best-expert-1909.02187</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-and-efficient-algorithms-for-tracking-the-best-expert-1909.02187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-and-efficient-algorithms-for-tracking-the-best-expert-1909.02187"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-deep-neural-network-defects-with-data-flow-analysis-1909.02190</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-deep-neural-network-defects-with-data-flow-analysis-1909.02190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-deep-neural-network-defects-with-data-flow-analysis-1909.02190"/></url>
<url><loc>https://scifaro.com/en/abs/powerset-convolutional-neural-networks-1909.02253</loc><lastmod>2024-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/powerset-convolutional-neural-networks-1909.02253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/powerset-convolutional-neural-networks-1909.02253"/></url>
<url><loc>https://scifaro.com/en/abs/population-based-gradient-descent-weight-learning-for-graph-coloring-problems-1909.02261</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/population-based-gradient-descent-weight-learning-for-graph-coloring-problems-1909.02261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/population-based-gradient-descent-weight-learning-for-graph-coloring-problems-1909.02261"/></url>
<url><loc>https://scifaro.com/en/abs/learning-action-transferable-policy-with-action-embedding-1909.02291</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-action-transferable-policy-with-action-embedding-1909.02291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-action-transferable-policy-with-action-embedding-1909.02291"/></url>
<url><loc>https://scifaro.com/en/abs/mcdiarmid-type-inequalities-for-graph-dependent-variables-and-stability-bounds-1909.02330</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcdiarmid-type-inequalities-for-graph-dependent-variables-and-stability-bounds-1909.02330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcdiarmid-type-inequalities-for-graph-dependent-variables-and-stability-bounds-1909.02330"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-absolute-summability-is-only-sufficient-for-rkhs-stability-1909.02341</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-absolute-summability-is-only-sufficient-for-rkhs-stability-1909.02341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-absolute-summability-is-only-sufficient-for-rkhs-stability-1909.02341"/></url>
<url><loc>https://scifaro.com/en/abs/a-transfer-learning-approach-for-network-intrusion-detection-1909.02352</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-transfer-learning-approach-for-network-intrusion-detection-1909.02352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-transfer-learning-approach-for-network-intrusion-detection-1909.02352"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-federated-learning-across-heterogeneous-cellular-networks-1909.02362</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-federated-learning-across-heterogeneous-cellular-networks-1909.02362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-federated-learning-across-heterogeneous-cellular-networks-1909.02362"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-ml-driven-hpc-applications-and-infrastructure-1909.02363</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-ml-driven-hpc-applications-and-infrastructure-1909.02363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-ml-driven-hpc-applications-and-infrastructure-1909.02363"/></url>
<url><loc>https://scifaro.com/en/abs/training-high-performance-and-large-scale-deep-neural-networks-with-full-8-bit-integers-1909.02384</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-high-performance-and-large-scale-deep-neural-networks-with-full-8-bit-integers-1909.02384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-high-performance-and-large-scale-deep-neural-networks-with-full-8-bit-integers-1909.02384"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-simulation-for-general-purpose-multibody-dynamics-using-deep-neural-networks-1909.02391</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-simulation-for-general-purpose-multibody-dynamics-using-deep-neural-networks-1909.02391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-simulation-for-general-purpose-multibody-dynamics-using-deep-neural-networks-1909.02391"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-batch-normalization-for-spd-neural-networks-1909.02414</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-batch-normalization-for-spd-neural-networks-1909.02414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-batch-normalization-for-spd-neural-networks-1909.02414"/></url>
<url><loc>https://scifaro.com/en/abs/are-adversarial-robustness-and-common-perturbation-robustness-independent-attributes-1909.02436</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-adversarial-robustness-and-common-perturbation-robustness-independent-attributes-1909.02436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-adversarial-robustness-and-common-perturbation-robustness-independent-attributes-1909.02436"/></url>
<url><loc>https://scifaro.com/en/abs/alime-autoencoder-based-approach-for-local-interpretability-1909.02437</loc><lastmod>2019-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alime-autoencoder-based-approach-for-local-interpretability-1909.02437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alime-autoencoder-based-approach-for-local-interpretability-1909.02437"/></url>
<url><loc>https://scifaro.com/en/abs/best-practices-for-scientific-research-on-neural-architecture-search-1909.02453</loc><lastmod>2020-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-practices-for-scientific-research-on-neural-architecture-search-1909.02453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-practices-for-scientific-research-on-neural-architecture-search-1909.02453"/></url>
<url><loc>https://scifaro.com/en/abs/sqrt-n-regret-for-learning-in-markov-decision-processes-with-function-approximation-and-low-bellman-rank-1909.02506</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sqrt-n-regret-for-learning-in-markov-decision-processes-with-function-approximation-and-low-bellman-rank-1909.02506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sqrt-n-regret-for-learning-in-markov-decision-processes-with-function-approximation-and-low-bellman-rank-1909.02506"/></url>
<url><loc>https://scifaro.com/en/abs/tfcheck-a-tensorflow-library-for-detecting-training-issues-in-neural-network-programs-1909.02562</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tfcheck-a-tensorflow-library-for-detecting-training-issues-in-neural-network-programs-1909.02562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tfcheck-a-tensorflow-library-for-detecting-training-issues-in-neural-network-programs-1909.02562"/></url>
<url><loc>https://scifaro.com/en/abs/deepevolution-a-search-based-testing-approach-for-deep-neural-networks-1909.02563</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepevolution-a-search-based-testing-approach-for-deep-neural-networks-1909.02563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepevolution-a-search-based-testing-approach-for-deep-neural-networks-1909.02563"/></url>
<url><loc>https://scifaro.com/en/abs/classification-with-costly-features-as-a-sequential-decision-making-problem-1909.02564</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-with-costly-features-as-a-sequential-decision-making-problem-1909.02564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-with-costly-features-as-a-sequential-decision-making-problem-1909.02564"/></url>
<url><loc>https://scifaro.com/en/abs/spatiotemporally-constrained-action-space-attacks-on-deep-reinforcement-learning-agents-1909.02583</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatiotemporally-constrained-action-space-attacks-on-deep-reinforcement-learning-agents-1909.02583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatiotemporally-constrained-action-space-attacks-on-deep-reinforcement-learning-agents-1909.02583"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-acceleration-of-deep-learning-model-parallelism-with-staleness-1909.02625</loc><lastmod>2022-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-acceleration-of-deep-learning-model-parallelism-with-staleness-1909.02625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-acceleration-of-deep-learning-model-parallelism-with-staleness-1909.02625"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-communication-in-multi-agent-reinforcement-learning-via-variance-based-control-1909.02682</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-communication-in-multi-agent-reinforcement-learning-via-variance-based-control-1909.02682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-communication-in-multi-agent-reinforcement-learning-via-variance-based-control-1909.02682"/></url>
<url><loc>https://scifaro.com/en/abs/autogmm-automatic-gaussian-mixture-modeling-in-python-1909.02688</loc><lastmod>2025-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autogmm-automatic-gaussian-mixture-modeling-in-python-1909.02688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autogmm-automatic-gaussian-mixture-modeling-in-python-1909.02688"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-multivariate-bandit-algorithm-with-path-planning-1909.02705</loc><lastmod>2022-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-multivariate-bandit-algorithm-with-path-planning-1909.02705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-multivariate-bandit-algorithm-with-path-planning-1909.02705"/></url>
<url><loc>https://scifaro.com/en/abs/restricted-minimum-error-entropy-criterion-for-robust-classification-1909.02707</loc><lastmod>2025-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/restricted-minimum-error-entropy-criterion-for-robust-classification-1909.02707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/restricted-minimum-error-entropy-criterion-for-robust-classification-1909.02707"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-stochastic-gradient-tracking-for-non-convex-empirical-risk-minimization-1909.02712</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-stochastic-gradient-tracking-for-non-convex-empirical-risk-minimization-1909.02712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-stochastic-gradient-tracking-for-non-convex-empirical-risk-minimization-1909.02712"/></url>
<url><loc>https://scifaro.com/en/abs/a-baseline-for-few-shot-image-classification-1909.02729</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-baseline-for-few-shot-image-classification-1909.02729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-baseline-for-few-shot-image-classification-1909.02729"/></url>
<url><loc>https://scifaro.com/en/abs/near-neighborhood-edge-aggregator-for-graph-classification-1909.02746</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-neighborhood-edge-aggregator-for-graph-classification-1909.02746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-neighborhood-edge-aggregator-for-graph-classification-1909.02746"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-trust-region-policy-optimization-global-convergence-and-faster-rates-for-regularized-mdps-1909.02769</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-trust-region-policy-optimization-global-convergence-and-faster-rates-for-regularized-mdps-1909.02769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-trust-region-policy-optimization-global-convergence-and-faster-rates-for-regularized-mdps-1909.02769"/></url>
<url><loc>https://scifaro.com/en/abs/set-flow-a-permutation-invariant-normalizing-flow-1909.02775</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/set-flow-a-permutation-invariant-normalizing-flow-1909.02775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/set-flow-a-permutation-invariant-normalizing-flow-1909.02775"/></url>
<url><loc>https://scifaro.com/en/abs/personalization-of-deep-learning-1909.02803</loc><lastmod>2020-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalization-of-deep-learning-1909.02803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalization-of-deep-learning-1909.02803"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-factor-vae-hierarchical-bayesian-deep-auto-encoder-models-for-factor-disentanglement-1909.02820</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-factor-vae-hierarchical-bayesian-deep-auto-encoder-models-for-factor-disentanglement-1909.02820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-factor-vae-hierarchical-bayesian-deep-auto-encoder-models-for-factor-disentanglement-1909.02820"/></url>
<url><loc>https://scifaro.com/en/abs/master-your-metrics-with-calibration-1909.02827</loc><lastmod>2020-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/master-your-metrics-with-calibration-1909.02827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/master-your-metrics-with-calibration-1909.02827"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-q-sigma-lambda-a-unified-algorithm-with-function-approximation-for-reinforcement-learning-1909.02877</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-q-sigma-lambda-a-unified-algorithm-with-function-approximation-for-reinforcement-learning-1909.02877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-q-sigma-lambda-a-unified-algorithm-with-function-approximation-for-reinforcement-learning-1909.02877"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-spatial-temporal-representation-learning-for-traffic-flow-prediction-1909.02902</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-spatial-temporal-representation-learning-for-traffic-flow-prediction-1909.02902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-spatial-temporal-representation-learning-for-traffic-flow-prediction-1909.02902"/></url>
<url><loc>https://scifaro.com/en/abs/blackbox-attacks-on-reinforcement-learning-agents-using-approximated-temporal-information-1909.02918</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blackbox-attacks-on-reinforcement-learning-agents-using-approximated-temporal-information-1909.02918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blackbox-attacks-on-reinforcement-learning-agents-using-approximated-temporal-information-1909.02918"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-generalized-rate-metrics-through-game-equilibrium-1909.02939</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-generalized-rate-metrics-through-game-equilibrium-1909.02939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-generalized-rate-metrics-through-game-equilibrium-1909.02939"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-joint-optimization-of-multiple-rewards-1909.02940</loc><lastmod>2023-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-joint-optimization-of-multiple-rewards-1909.02940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-joint-optimization-of-multiple-rewards-1909.02940"/></url>
<url><loc>https://scifaro.com/en/abs/regression-under-human-assistance-1909.02963</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-under-human-assistance-1909.02963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-under-human-assistance-1909.02963"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-computation-of-graph-embeddings-1909.02977</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-computation-of-graph-embeddings-1909.02977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-computation-of-graph-embeddings-1909.02977"/></url>
<url><loc>https://scifaro.com/en/abs/drlviz-understanding-decisions-and-memory-in-deep-reinforcement-learning-1909.02982</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drlviz-understanding-decisions-and-memory-in-deep-reinforcement-learning-1909.02982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drlviz-understanding-decisions-and-memory-in-deep-reinforcement-learning-1909.02982"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-on-ranking-problems-in-statistical-learning-1909.02998</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-on-ranking-problems-in-statistical-learning-1909.02998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-on-ranking-problems-in-statistical-learning-1909.02998"/></url>
<url><loc>https://scifaro.com/en/abs/show-your-work-improved-reporting-of-experimental-results-1909.03004</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/show-your-work-improved-reporting-of-experimental-results-1909.03004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/show-your-work-improved-reporting-of-experimental-results-1909.03004"/></url>
<url><loc>https://scifaro.com/en/abs/dissecting-non-vacuous-generalization-bounds-based-on-the-mean-field-approximation-1909.03009</loc><lastmod>2020-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dissecting-non-vacuous-generalization-bounds-based-on-the-mean-field-approximation-1909.03009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dissecting-non-vacuous-generalization-bounds-based-on-the-mean-field-approximation-1909.03009"/></url>
<url><loc>https://scifaro.com/en/abs/approaching-machine-learning-fairness-through-adversarial-network-1909.03013</loc><lastmod>2019-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approaching-machine-learning-fairness-through-adversarial-network-1909.03013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approaching-machine-learning-fairness-through-adversarial-network-1909.03013"/></url>
<url><loc>https://scifaro.com/en/abs/improved-hierarchical-patient-classification-with-language-model-pretraining-over-clinical-notes-1909.03039</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-hierarchical-patient-classification-with-language-model-pretraining-over-clinical-notes-1909.03039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-hierarchical-patient-classification-with-language-model-pretraining-over-clinical-notes-1909.03039"/></url>
<url><loc>https://scifaro.com/en/abs/differential-equation-units-learning-functional-forms-of-activation-functions-from-data-1909.03069</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-equation-units-learning-functional-forms-of-activation-functions-from-data-1909.03069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-equation-units-learning-functional-forms-of-activation-functions-from-data-1909.03069"/></url>
<url><loc>https://scifaro.com/en/abs/trading-off-static-and-dynamic-regret-in-online-least-squares-and-beyond-1909.03118</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trading-off-static-and-dynamic-regret-in-online-least-squares-and-beyond-1909.03118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trading-off-static-and-dynamic-regret-in-online-least-squares-and-beyond-1909.03118"/></url>
<url><loc>https://scifaro.com/en/abs/equalizing-recourse-across-groups-1909.03166</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equalizing-recourse-across-groups-1909.03166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equalizing-recourse-across-groups-1909.03166"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-the-importance-of-noise-in-training-neural-networks-1909.03172</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-the-importance-of-noise-in-training-neural-networks-1909.03172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-the-importance-of-noise-in-training-neural-networks-1909.03172"/></url>
<url><loc>https://scifaro.com/en/abs/auto-gnn-neural-architecture-search-of-graph-neural-networks-1909.03184</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-gnn-neural-architecture-search-of-graph-neural-networks-1909.03184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-gnn-neural-architecture-search-of-graph-neural-networks-1909.03184"/></url>
<url><loc>https://scifaro.com/en/abs/on-sample-complexity-upper-and-lower-bounds-for-exact-ranking-from-noisy-comparisons-1909.03194</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-sample-complexity-upper-and-lower-bounds-for-exact-ranking-from-noisy-comparisons-1909.03194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-sample-complexity-upper-and-lower-bounds-for-exact-ranking-from-noisy-comparisons-1909.03194"/></url>
<url><loc>https://scifaro.com/en/abs/soft-policy-gradient-method-for-maximum-entropy-deep-reinforcement-learning-1909.03198</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-policy-gradient-method-for-maximum-entropy-deep-reinforcement-learning-1909.03198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-policy-gradient-method-for-maximum-entropy-deep-reinforcement-learning-1909.03198"/></url>
<url><loc>https://scifaro.com/en/abs/mature-gail-imitation-learning-for-low-level-and-high-dimensional-input-using-global-encoder-and-cost-transformation-1909.03200</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mature-gail-imitation-learning-for-low-level-and-high-dimensional-input-using-global-encoder-and-cost-transformation-1909.03200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mature-gail-imitation-learning-for-low-level-and-high-dimensional-input-using-global-encoder-and-cost-transformation-1909.03200"/></url>
<url><loc>https://scifaro.com/en/abs/multi-pseudo-q-learning-based-deterministic-policy-gradient-for-tracking-control-of-autonomous-underwater-vehicles-1909.03204</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-pseudo-q-learning-based-deterministic-policy-gradient-for-tracking-control-of-autonomous-underwater-vehicles-1909.03204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-pseudo-q-learning-based-deterministic-policy-gradient-for-tracking-control-of-autonomous-underwater-vehicles-1909.03204"/></url>
<url><loc>https://scifaro.com/en/abs/transferable-neural-processes-for-hyperparameter-optimization-1909.03209</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferable-neural-processes-for-hyperparameter-optimization-1909.03209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferable-neural-processes-for-hyperparameter-optimization-1909.03209"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-and-relieving-the-over-smoothing-problem-for-graph-neural-networks-from-the-topological-view-1909.03211</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-and-relieving-the-over-smoothing-problem-for-graph-neural-networks-from-the-topological-view-1909.03211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-and-relieving-the-over-smoothing-problem-for-graph-neural-networks-from-the-topological-view-1909.03211"/></url>
<url><loc>https://scifaro.com/en/abs/automl-for-contextual-bandits-1909.03212</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automl-for-contextual-bandits-1909.03212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automl-for-contextual-bandits-1909.03212"/></url>
<url><loc>https://scifaro.com/en/abs/hetespaceywalk-a-heterogeneous-spacey-random-walk-for-heterogeneous-information-network-embedding-1909.03228</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hetespaceywalk-a-heterogeneous-spacey-random-walk-for-heterogeneous-information-network-embedding-1909.03228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hetespaceywalk-a-heterogeneous-spacey-random-walk-for-heterogeneous-information-network-embedding-1909.03228"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-anderson-acceleration-for-off-policy-deep-reinforcement-learning-1909.03245</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-anderson-acceleration-for-off-policy-deep-reinforcement-learning-1909.03245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-anderson-acceleration-for-off-policy-deep-reinforcement-learning-1909.03245"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-to-optimise-time-expensive-algorithm-selection-1909.03261</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-to-optimise-time-expensive-algorithm-selection-1909.03261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-to-optimise-time-expensive-algorithm-selection-1909.03261"/></url>
<url><loc>https://scifaro.com/en/abs/a-tree-based-dictionary-learning-framework-1909.03267</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tree-based-dictionary-learning-framework-1909.03267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tree-based-dictionary-learning-framework-1909.03267"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-factorization-network-learning-adaptive-order-feature-interactions-1909.03276</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-factorization-network-learning-adaptive-order-feature-interactions-1909.03276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-factorization-network-learning-adaptive-order-feature-interactions-1909.03276"/></url>
<url><loc>https://scifaro.com/en/abs/a-non-negative-factorization-approach-to-node-pooling-in-graph-convolutional-neural-networks-1909.03287</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-non-negative-factorization-approach-to-node-pooling-in-graph-convolutional-neural-networks-1909.03287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-non-negative-factorization-approach-to-node-pooling-in-graph-convolutional-neural-networks-1909.03287"/></url>
<url><loc>https://scifaro.com/en/abs/a-scalable-constructive-algorithm-for-the-optimization-of-neural-network-architectures-1909.03306</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scalable-constructive-algorithm-for-the-optimization-of-neural-network-architectures-1909.03306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scalable-constructive-algorithm-for-the-optimization-of-neural-network-architectures-1909.03306"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-control-of-probabilistic-boolean-networks-1909.03331</loc><lastmod>2020-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-control-of-probabilistic-boolean-networks-1909.03331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-control-of-probabilistic-boolean-networks-1909.03331"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-clustering-of-correlated-random-variables-1909.03332</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-clustering-of-correlated-random-variables-1909.03332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-clustering-of-correlated-random-variables-1909.03332"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-need-for-topology-aware-generative-models-for-manifold-based-defenses-1909.03334</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-need-for-topology-aware-generative-models-for-manifold-based-defenses-1909.03334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-need-for-topology-aware-generative-models-for-manifold-based-defenses-1909.03334"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-training-of-embeddings-using-graph-analytics-1909.03359</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-training-of-embeddings-using-graph-analytics-1909.03359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-training-of-embeddings-using-graph-analytics-1909.03359"/></url>
<url><loc>https://scifaro.com/en/abs/l-dmi-an-information-theoretic-noise-robust-loss-function-1909.03388</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l-dmi-an-information-theoretic-noise-robust-loss-function-1909.03388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l-dmi-an-information-theoretic-noise-robust-loss-function-1909.03388"/></url>
<url><loc>https://scifaro.com/en/abs/torchgan-a-flexible-framework-for-gan-training-and-evaluation-1909.03410</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/torchgan-a-flexible-framework-for-gan-training-and-evaluation-1909.03410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/torchgan-a-flexible-framework-for-gan-training-and-evaluation-1909.03410"/></url>
<url><loc>https://scifaro.com/en/abs/when-explainability-meets-adversarial-learning-detecting-adversarial-examples-using-shap-signatures-1909.03418</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-explainability-meets-adversarial-learning-detecting-adversarial-examples-using-shap-signatures-1909.03418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-explainability-meets-adversarial-learning-detecting-adversarial-examples-using-shap-signatures-1909.03418"/></url>
<url><loc>https://scifaro.com/en/abs/order-free-learning-alleviating-exposure-bias-in-multi-label-classification-1909.03434</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/order-free-learning-alleviating-exposure-bias-in-multi-label-classification-1909.03434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/order-free-learning-alleviating-exposure-bias-in-multi-label-classification-1909.03434"/></url>
<url><loc>https://scifaro.com/en/abs/cuda-contradistinguisher-for-unsupervised-domain-adaptation-1909.03442</loc><lastmod>2020-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cuda-contradistinguisher-for-unsupervised-domain-adaptation-1909.03442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cuda-contradistinguisher-for-unsupervised-domain-adaptation-1909.03442"/></url>
<url><loc>https://scifaro.com/en/abs/self-driving-scale-car-trained-by-deep-reinforcement-learning-1909.03467</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-driving-scale-car-trained-by-deep-reinforcement-learning-1909.03467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-driving-scale-car-trained-by-deep-reinforcement-learning-1909.03467"/></url>
<url><loc>https://scifaro.com/en/abs/self-paced-ensemble-for-highly-imbalanced-massive-data-classification-1909.03500</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-paced-ensemble-for-highly-imbalanced-massive-data-classification-1909.03500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-paced-ensemble-for-highly-imbalanced-massive-data-classification-1909.03500"/></url>
<url><loc>https://scifaro.com/en/abs/transformer-to-cnn-label-scarce-distillation-for-efficient-text-classification-1909.03508</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformer-to-cnn-label-scarce-distillation-for-efficient-text-classification-1909.03508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformer-to-cnn-label-scarce-distillation-for-efficient-text-classification-1909.03508"/></url>
<url><loc>https://scifaro.com/en/abs/midi-sandwich2-rnn-based-hierarchical-multi-modal-fusion-generation-vae-networks-for-multi-track-symbolic-music-generation-1909.03522</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/midi-sandwich2-rnn-based-hierarchical-multi-modal-fusion-generation-vae-networks-for-multi-track-symbolic-music-generation-1909.03522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/midi-sandwich2-rnn-based-hierarchical-multi-modal-fusion-generation-vae-networks-for-multi-track-symbolic-music-generation-1909.03522"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-heartsteps-a-reinforcement-learning-algorithm-for-optimizing-physical-activity-1909.03539</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-heartsteps-a-reinforcement-learning-algorithm-for-optimizing-physical-activity-1909.03539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-heartsteps-a-reinforcement-learning-algorithm-for-optimizing-physical-activity-1909.03539"/></url>
<url><loc>https://scifaro.com/en/abs/lecture-notes-optimization-for-machine-learning-1909.03550</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lecture-notes-optimization-for-machine-learning-1909.03550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lecture-notes-optimization-for-machine-learning-1909.03550"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-analysis-of-differential-privacy-s-generalization-guarantees-1909.03577</loc><lastmod>2024-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-analysis-of-differential-privacy-s-generalization-guarantees-1909.03577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-analysis-of-differential-privacy-s-generalization-guarantees-1909.03577"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-sample-an-active-learning-framework-1909.03585</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-sample-an-active-learning-framework-1909.03585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-sample-an-active-learning-framework-1909.03585"/></url>
<url><loc>https://scifaro.com/en/abs/cost-aware-multi-objective-bayesian-optimisation-1909.03600</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-aware-multi-objective-bayesian-optimisation-1909.03600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-aware-multi-objective-bayesian-optimisation-1909.03600"/></url>
<url><loc>https://scifaro.com/en/abs/neural-architecture-search-in-embedding-space-1909.03615</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-architecture-search-in-embedding-space-1909.03615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-architecture-search-in-embedding-space-1909.03615"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-stochastic-nesterov-accelerated-quasi-newton-method-for-training-rnns-1909.03620</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-stochastic-nesterov-accelerated-quasi-newton-method-for-training-rnns-1909.03620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-stochastic-nesterov-accelerated-quasi-newton-method-for-training-rnns-1909.03620"/></url>
<url><loc>https://scifaro.com/en/abs/a-stochastic-quasi-newton-method-with-nesterov-s-accelerated-gradient-1909.03621</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stochastic-quasi-newton-method-with-nesterov-s-accelerated-gradient-1909.03621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stochastic-quasi-newton-method-with-nesterov-s-accelerated-gradient-1909.03621"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-reward-learning-for-policy-gradient-based-text-generation-1909.03622</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-reward-learning-for-policy-gradient-based-text-generation-1909.03622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-reward-learning-for-policy-gradient-based-text-generation-1909.03622"/></url>
<url><loc>https://scifaro.com/en/abs/krylov-subspace-method-for-nonlinear-dynamical-systems-with-random-noise-1909.03634</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/krylov-subspace-method-for-nonlinear-dynamical-systems-with-random-noise-1909.03634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/krylov-subspace-method-for-nonlinear-dynamical-systems-with-random-noise-1909.03634"/></url>
<url><loc>https://scifaro.com/en/abs/solving-continual-combinatorial-selection-via-deep-reinforcement-learning-1909.03638</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-continual-combinatorial-selection-via-deep-reinforcement-learning-1909.03638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-continual-combinatorial-selection-via-deep-reinforcement-learning-1909.03638"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-detection-in-high-dimensional-data-1909.03681</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-detection-in-high-dimensional-data-1909.03681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-detection-in-high-dimensional-data-1909.03681"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-granger-causality-with-unobserved-confounders-via-deep-latent-variable-recurrent-neural-network-1909.03704</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-granger-causality-with-unobserved-confounders-via-deep-latent-variable-recurrent-neural-network-1909.03704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-granger-causality-with-unobserved-confounders-via-deep-latent-variable-recurrent-neural-network-1909.03704"/></url>
<url><loc>https://scifaro.com/en/abs/latent-multi-view-semi-supervised-classification-1909.03712</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-multi-view-semi-supervised-classification-1909.03712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-multi-view-semi-supervised-classification-1909.03712"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-automatic-construction-of-pseudo-realistic-pediatric-abdominal-phantoms-1909.03723</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-automatic-construction-of-pseudo-realistic-pediatric-abdominal-phantoms-1909.03723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-automatic-construction-of-pseudo-realistic-pediatric-abdominal-phantoms-1909.03723"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-function-approximation-with-relu-neural-networks-1909.03731</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-function-approximation-with-relu-neural-networks-1909.03731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-function-approximation-with-relu-neural-networks-1909.03731"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-evaluation-in-partially-observable-environments-1909.03739</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-evaluation-in-partially-observable-environments-1909.03739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-evaluation-in-partially-observable-environments-1909.03739"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-continual-learning-in-neural-networks-with-embedding-regularization-1909.03742</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-continual-learning-in-neural-networks-with-embedding-regularization-1909.03742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-continual-learning-in-neural-networks-with-embedding-regularization-1909.03742"/></url>
<url><loc>https://scifaro.com/en/abs/learning-visual-dynamics-models-of-rigid-objects-using-relational-inductive-biases-1909.03749</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-visual-dynamics-models-of-rigid-objects-using-relational-inductive-biases-1909.03749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-visual-dynamics-models-of-rigid-objects-using-relational-inductive-biases-1909.03749"/></url>
<url><loc>https://scifaro.com/en/abs/balancing-reconstruction-quality-and-regularisation-in-elbo-for-vaes-1909.03765</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balancing-reconstruction-quality-and-regularisation-in-elbo-for-vaes-1909.03765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balancing-reconstruction-quality-and-regularisation-in-elbo-for-vaes-1909.03765"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-reproducibility-by-evaluating-deep-reinforcement-learning-algorithms-on-real-world-robots-1909.03772</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-reproducibility-by-evaluating-deep-reinforcement-learning-algorithms-on-real-world-robots-1909.03772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-reproducibility-by-evaluating-deep-reinforcement-learning-algorithms-on-real-world-robots-1909.03772"/></url>
<url><loc>https://scifaro.com/en/abs/imitation-learning-from-pixel-level-demonstrations-by-hashreward-1909.03773</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitation-learning-from-pixel-level-demonstrations-by-hashreward-1909.03773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitation-learning-from-pixel-level-demonstrations-by-hashreward-1909.03773"/></url>
<url><loc>https://scifaro.com/en/abs/graph-random-neural-features-for-distance-preserving-graph-representations-1909.03790</loc><lastmod>2020-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-random-neural-features-for-distance-preserving-graph-representations-1909.03790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-random-neural-features-for-distance-preserving-graph-representations-1909.03790"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-tuning-for-self-optimizing-software-at-scale-1909.03814</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-tuning-for-self-optimizing-software-at-scale-1909.03814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-tuning-for-self-optimizing-software-at-scale-1909.03814"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-automatic-meta-optimization-search-for-few-shot-learning-1909.03817</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-automatic-meta-optimization-search-for-few-shot-learning-1909.03817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-automatic-meta-optimization-search-for-few-shot-learning-1909.03817"/></url>
<url><loc>https://scifaro.com/en/abs/testing-deep-learning-models-for-image-analysis-using-object-relevant-metamorphic-relations-1909.03824</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-deep-learning-models-for-image-analysis-using-object-relevant-metamorphic-relations-1909.03824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-deep-learning-models-for-image-analysis-using-object-relevant-metamorphic-relations-1909.03824"/></url>
<url><loc>https://scifaro.com/en/abs/compact-autoregressive-network-1909.03830</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compact-autoregressive-network-1909.03830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compact-autoregressive-network-1909.03830"/></url>
<url><loc>https://scifaro.com/en/abs/training-deep-neural-networks-using-posit-number-system-1909.03831</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-deep-neural-networks-using-posit-number-system-1909.03831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-deep-neural-networks-using-posit-number-system-1909.03831"/></url>
<url><loc>https://scifaro.com/en/abs/linear-context-transform-block-1909.03834</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-context-transform-block-1909.03834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-context-transform-block-1909.03834"/></url>
<url><loc>https://scifaro.com/en/abs/data-sanity-check-for-deep-learning-systems-via-learnt-assertions-1909.03835</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-sanity-check-for-deep-learning-systems-via-learnt-assertions-1909.03835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-sanity-check-for-deep-learning-systems-via-learnt-assertions-1909.03835"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-creation-of-machine-learning-agents-for-blockchain-analysis-1909.03848</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-creation-of-machine-learning-agents-for-blockchain-analysis-1909.03848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-creation-of-machine-learning-agents-for-blockchain-analysis-1909.03848"/></url>
<url><loc>https://scifaro.com/en/abs/nearly-unsupervised-hashcode-representations-for-relation-extraction-1909.03881</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearly-unsupervised-hashcode-representations-for-relation-extraction-1909.03881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearly-unsupervised-hashcode-representations-for-relation-extraction-1909.03881"/></url>
<url><loc>https://scifaro.com/en/abs/recovery-of-future-data-via-convolution-nuclear-norm-minimization-1909.03889</loc><lastmod>2022-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovery-of-future-data-via-convolution-nuclear-norm-minimization-1909.03889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovery-of-future-data-via-convolution-nuclear-norm-minimization-1909.03889"/></url>
<url><loc>https://scifaro.com/en/abs/a-wide-and-deep-neural-network-for-survival-analysis-from-anatomical-shape-and-tabular-clinical-data-1909.03890</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-wide-and-deep-neural-network-for-survival-analysis-from-anatomical-shape-and-tabular-clinical-data-1909.03890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-wide-and-deep-neural-network-for-survival-analysis-from-anatomical-shape-and-tabular-clinical-data-1909.03890"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-trajectory-prediction-using-deep-conditional-generative-models-1909.03895</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-trajectory-prediction-using-deep-conditional-generative-models-1909.03895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-trajectory-prediction-using-deep-conditional-generative-models-1909.03895"/></url>
<url><loc>https://scifaro.com/en/abs/fixed-horizon-temporal-difference-methods-for-stable-reinforcement-learning-1909.03906</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixed-horizon-temporal-difference-methods-for-stable-reinforcement-learning-1909.03906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixed-horizon-temporal-difference-methods-for-stable-reinforcement-learning-1909.03906"/></url>
<url><loc>https://scifaro.com/en/abs/gan-leaks-a-taxonomy-of-membership-inference-attacks-against-generative-models-1909.03935</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gan-leaks-a-taxonomy-of-membership-inference-attacks-against-generative-models-1909.03935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gan-leaks-a-taxonomy-of-membership-inference-attacks-against-generative-models-1909.03935"/></url>
<url><loc>https://scifaro.com/en/abs/deterministic-value-policy-gradients-1909.03939</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deterministic-value-policy-gradients-1909.03939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deterministic-value-policy-gradients-1909.03939"/></url>
<url><loc>https://scifaro.com/en/abs/scheduling-optimization-of-parallel-linear-algebra-algorithms-using-supervised-learning-1909.03947</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scheduling-optimization-of-parallel-linear-algebra-algorithms-using-supervised-learning-1909.03947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scheduling-optimization-of-parallel-linear-algebra-algorithms-using-supervised-learning-1909.03947"/></url>
<url><loc>https://scifaro.com/en/abs/learning-fair-rule-lists-1909.03977</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-fair-rule-lists-1909.03977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-fair-rule-lists-1909.03977"/></url>
<url><loc>https://scifaro.com/en/abs/combining-learned-representations-for-combinatorial-optimization-1909.03978</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-learned-representations-for-combinatorial-optimization-1909.03978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-learned-representations-for-combinatorial-optimization-1909.03978"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-learning-of-environment-interactive-structures-from-trajectories-of-individuals-1909.03980</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-learning-of-environment-interactive-structures-from-trajectories-of-individuals-1909.03980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-learning-of-environment-interactive-structures-from-trajectories-of-individuals-1909.03980"/></url>
<url><loc>https://scifaro.com/en/abs/policy-space-identification-in-configurable-environments-1909.03984</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-space-identification-in-configurable-environments-1909.03984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-space-identification-in-configurable-environments-1909.03984"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-efficient-boolean-matrix-factorization-by-geometric-segmentation-1909.03991</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-efficient-boolean-matrix-factorization-by-geometric-segmentation-1909.03991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-efficient-boolean-matrix-factorization-by-geometric-segmentation-1909.03991"/></url>
<url><loc>https://scifaro.com/en/abs/deep-context-aware-recommender-system-utilizing-sequential-latent-context-1909.03999</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-context-aware-recommender-system-utilizing-sequential-latent-context-1909.03999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-context-aware-recommender-system-utilizing-sequential-latent-context-1909.03999"/></url>
<url><loc>https://scifaro.com/en/abs/static-force-field-representation-of-environments-based-on-agents-nonlinear-motions-1909.04010</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/static-force-field-representation-of-environments-based-on-agents-nonlinear-motions-1909.04010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/static-force-field-representation-of-environments-based-on-agents-nonlinear-motions-1909.04010"/></url>
<url><loc>https://scifaro.com/en/abs/training-deep-neural-networks-by-optimizing-over-nonlocal-paths-in-hyperparameter-space-1909.04013</loc><lastmod>2019-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-deep-neural-networks-by-optimizing-over-nonlocal-paths-in-hyperparameter-space-1909.04013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-deep-neural-networks-by-optimizing-over-nonlocal-paths-in-hyperparameter-space-1909.04013"/></url>
<url><loc>https://scifaro.com/en/abs/forecaster-a-graph-transformer-for-forecasting-spatial-and-time-dependent-data-1909.04019</loc><lastmod>2021-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecaster-a-graph-transformer-for-forecasting-spatial-and-time-dependent-data-1909.04019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecaster-a-graph-transformer-for-forecasting-spatial-and-time-dependent-data-1909.04019"/></url>
<url><loc>https://scifaro.com/en/abs/a-flexible-framework-for-anomaly-detection-via-dimensionality-reduction-1909.04060</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-flexible-framework-for-anomaly-detection-via-dimensionality-reduction-1909.04060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-flexible-framework-for-anomaly-detection-via-dimensionality-reduction-1909.04060"/></url>
<url><loc>https://scifaro.com/en/abs/exploratory-combinatorial-optimization-with-reinforcement-learning-1909.04063</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploratory-combinatorial-optimization-with-reinforcement-learning-1909.04063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploratory-combinatorial-optimization-with-reinforcement-learning-1909.04063"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-against-the-union-of-multiple-perturbation-models-1909.04068</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-against-the-union-of-multiple-perturbation-models-1909.04068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-against-the-union-of-multiple-perturbation-models-1909.04068"/></url>
<url><loc>https://scifaro.com/en/abs/a-classification-methodology-based-on-subspace-graphs-learning-1909.04078</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-classification-methodology-based-on-subspace-graphs-learning-1909.04078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-classification-methodology-based-on-subspace-graphs-learning-1909.04078"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-aware-model-based-policy-search-1909.04115</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-aware-model-based-policy-search-1909.04115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-aware-model-based-policy-search-1909.04115"/></url>
<url><loc>https://scifaro.com/en/abs/ac-teach-a-bayesian-actor-critic-method-for-policy-learning-with-an-ensemble-of-suboptimal-teachers-1909.04121</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ac-teach-a-bayesian-actor-critic-method-for-policy-learning-with-an-ensemble-of-suboptimal-teachers-1909.04121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ac-teach-a-bayesian-actor-critic-method-for-policy-learning-with-an-ensemble-of-suboptimal-teachers-1909.04121"/></url>
<url><loc>https://scifaro.com/en/abs/option-encoder-a-framework-for-discovering-a-policy-basis-in-reinforcement-learning-1909.04134</loc><lastmod>2020-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/option-encoder-a-framework-for-discovering-a-policy-basis-in-reinforcement-learning-1909.04134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/option-encoder-a-framework-for-discovering-a-policy-basis-in-reinforcement-learning-1909.04134"/></url>
<url><loc>https://scifaro.com/en/abs/normlime-a-new-feature-importance-metric-for-explaining-deep-neural-networks-1909.04200</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normlime-a-new-feature-importance-metric-for-explaining-deep-neural-networks-1909.04200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normlime-a-new-feature-importance-metric-for-explaining-deep-neural-networks-1909.04200"/></url>
<url><loc>https://scifaro.com/en/abs/augmenting-monte-carlo-dropout-classification-models-with-unsupervised-learning-tasks-for-detecting-and-diagnosing-out-of-distribution-faults-1909.04202</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmenting-monte-carlo-dropout-classification-models-with-unsupervised-learning-tasks-for-detecting-and-diagnosing-out-of-distribution-faults-1909.04202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmenting-monte-carlo-dropout-classification-models-with-unsupervised-learning-tasks-for-detecting-and-diagnosing-out-of-distribution-faults-1909.04202"/></url>
<url><loc>https://scifaro.com/en/abs/novel-diffusion-derived-distance-measures-for-graphs-1909.04203</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novel-diffusion-derived-distance-measures-for-graphs-1909.04203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novel-diffusion-derived-distance-measures-for-graphs-1909.04203"/></url>
<url><loc>https://scifaro.com/en/abs/swapped-face-detection-using-deep-learning-and-subjective-assessment-1909.04217</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/swapped-face-detection-using-deep-learning-and-subjective-assessment-1909.04217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/swapped-face-detection-using-deep-learning-and-subjective-assessment-1909.04217"/></url>
<url><loc>https://scifaro.com/en/abs/online-planning-with-lookahead-policies-1909.04236</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-planning-with-lookahead-policies-1909.04236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-planning-with-lookahead-policies-1909.04236"/></url>
<url><loc>https://scifaro.com/en/abs/neural-reparameterization-improves-structural-optimization-1909.04240</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-reparameterization-improves-structural-optimization-1909.04240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-reparameterization-improves-structural-optimization-1909.04240"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-network-embedding-with-micro-and-macro-dynamics-1909.04246</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-network-embedding-with-micro-and-macro-dynamics-1909.04246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-network-embedding-with-micro-and-macro-dynamics-1909.04246"/></url>
<url><loc>https://scifaro.com/en/abs/bosh-an-efficient-meta-algorithm-for-decision-based-attacks-1909.04288</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bosh-an-efficient-meta-algorithm-for-decision-based-attacks-1909.04288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bosh-an-efficient-meta-algorithm-for-decision-based-attacks-1909.04288"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-disentangle-robust-and-vulnerable-features-for-adversarial-detection-1909.04311</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-disentangle-robust-and-vulnerable-features-for-adversarial-detection-1909.04311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-disentangle-robust-and-vulnerable-features-for-adversarial-detection-1909.04311"/></url>
<url><loc>https://scifaro.com/en/abs/classifying-the-valence-of-autobiographical-memories-from-fmri-data-1909.04390</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifying-the-valence-of-autobiographical-memories-from-fmri-data-1909.04390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifying-the-valence-of-autobiographical-memories-from-fmri-data-1909.04390"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-generalization-in-image-captioning-1909.04402</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-generalization-in-image-captioning-1909.04402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-generalization-in-image-captioning-1909.04402"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-bandits-1909.04421</loc><lastmod>2020-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-bandits-1909.04421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-bandits-1909.04421"/></url>
<url><loc>https://scifaro.com/en/abs/the-prevalence-of-errors-in-machine-learning-experiments-1909.04436</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-prevalence-of-errors-in-machine-learning-experiments-1909.04436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-prevalence-of-errors-in-machine-learning-experiments-1909.04436"/></url>
<url><loc>https://scifaro.com/en/abs/learning-priors-for-adversarial-autoencoders-1909.04443</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-priors-for-adversarial-autoencoders-1909.04443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-priors-for-adversarial-autoencoders-1909.04443"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-orthogonal-regression-two-non-linear-regressions-for-causal-inference-1909.04454</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-orthogonal-regression-two-non-linear-regressions-for-causal-inference-1909.04454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-orthogonal-regression-two-non-linear-regressions-for-causal-inference-1909.04454"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-induced-noise-for-co-creative-gan-systems-1909.04474</loc><lastmod>2024-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-induced-noise-for-co-creative-gan-systems-1909.04474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-induced-noise-for-co-creative-gan-systems-1909.04474"/></url>
<url><loc>https://scifaro.com/en/abs/equity2vec-end-to-end-deep-learning-framework-for-cross-sectional-asset-pricing-1909.04497</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equity2vec-end-to-end-deep-learning-framework-for-cross-sectional-asset-pricing-1909.04497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equity2vec-end-to-end-deep-learning-framework-for-cross-sectional-asset-pricing-1909.04497"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-deep-learning-for-network-traffic-data-forecasting-1909.04501</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-deep-learning-for-network-traffic-data-forecasting-1909.04501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-deep-learning-for-network-traffic-data-forecasting-1909.04501"/></url>
<url><loc>https://scifaro.com/en/abs/skin-cancer-detection-based-on-deep-learning-and-entropy-to-detect-outlier-samples-1909.04525</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skin-cancer-detection-based-on-deep-learning-and-entropy-to-detect-outlier-samples-1909.04525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skin-cancer-detection-based-on-deep-learning-and-entropy-to-detect-outlier-samples-1909.04525"/></url>
<url><loc>https://scifaro.com/en/abs/byzantine-resilient-stochastic-gradient-descent-for-distributed-learning-a-lipschitz-inspired-coordinate-wise-median-approach-1909.04532</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/byzantine-resilient-stochastic-gradient-descent-for-distributed-learning-a-lipschitz-inspired-coordinate-wise-median-approach-1909.04532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/byzantine-resilient-stochastic-gradient-descent-for-distributed-learning-a-lipschitz-inspired-coordinate-wise-median-approach-1909.04532"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-mask-for-pruning-convolutional-and-recurrent-networks-1909.04567</loc><lastmod>2020-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-mask-for-pruning-convolutional-and-recurrent-networks-1909.04567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-mask-for-pruning-convolutional-and-recurrent-networks-1909.04567"/></url>
<url><loc>https://scifaro.com/en/abs/binoculars-for-efficient-nonmyopic-sequential-experimental-design-1909.04568</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binoculars-for-efficient-nonmyopic-sequential-experimental-design-1909.04568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binoculars-for-efficient-nonmyopic-sequential-experimental-design-1909.04568"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-overall-survival-of-brain-tumor-patients-1909.04596</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-overall-survival-of-brain-tumor-patients-1909.04596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-overall-survival-of-brain-tumor-patients-1909.04596"/></url>
<url><loc>https://scifaro.com/en/abs/patient-trajectory-prediction-in-the-mimic-iii-dataset-challenges-and-pitfalls-1909.04605</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/patient-trajectory-prediction-in-the-mimic-iii-dataset-challenges-and-pitfalls-1909.04605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/patient-trajectory-prediction-in-the-mimic-iii-dataset-challenges-and-pitfalls-1909.04605"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-with-implicit-gradients-1909.04630</loc><lastmod>2019-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-with-implicit-gradients-1909.04630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-with-implicit-gradients-1909.04630"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-the-importance-of-shortcut-connections-in-residual-networks-1909.04653</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-the-importance-of-shortcut-connections-in-residual-networks-1909.04653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-the-importance-of-shortcut-connections-in-residual-networks-1909.04653"/></url>
<url><loc>https://scifaro.com/en/abs/when-single-event-upset-meets-deep-neural-networks-observations-explorations-and-remedies-1909.04697</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-single-event-upset-meets-deep-neural-networks-observations-explorations-and-remedies-1909.04697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-single-event-upset-meets-deep-neural-networks-observations-explorations-and-remedies-1909.04697"/></url>
<url><loc>https://scifaro.com/en/abs/first-analysis-of-local-gd-on-heterogeneous-data-1909.04715</loc><lastmod>2020-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/first-analysis-of-local-gd-on-heterogeneous-data-1909.04715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/first-analysis-of-local-gd-on-heterogeneous-data-1909.04715"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-with-compressed-iterates-1909.04716</loc><lastmod>2020-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-with-compressed-iterates-1909.04716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-with-compressed-iterates-1909.04716"/></url>
<url><loc>https://scifaro.com/en/abs/neural-belief-reasoner-1909.04719</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-belief-reasoner-1909.04719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-belief-reasoner-1909.04719"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-for-relational-data-1909.04723</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-for-relational-data-1909.04723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-for-relational-data-1909.04723"/></url>
<url><loc>https://scifaro.com/en/abs/tighter-theory-for-local-sgd-on-identical-and-heterogeneous-data-1909.04746</loc><lastmod>2022-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tighter-theory-for-local-sgd-on-identical-and-heterogeneous-data-1909.04746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tighter-theory-for-local-sgd-on-identical-and-heterogeneous-data-1909.04746"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-and-video-games-1909.04751</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-and-video-games-1909.04751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-and-video-games-1909.04751"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-classifiers-with-noisy-inference-1909.04766</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-classifiers-with-noisy-inference-1909.04766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-classifiers-with-noisy-inference-1909.04766"/></url>
<url><loc>https://scifaro.com/en/abs/effectiveness-of-adversarial-examples-and-defenses-for-malware-classification-1909.04778</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effectiveness-of-adversarial-examples-and-defenses-for-malware-classification-1909.04778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effectiveness-of-adversarial-examples-and-defenses-for-malware-classification-1909.04778"/></url>
<url><loc>https://scifaro.com/en/abs/localized-adversarial-training-for-increased-accuracy-and-robustness-in-image-classification-1909.04779</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/localized-adversarial-training-for-increased-accuracy-and-robustness-in-image-classification-1909.04779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/localized-adversarial-training-for-increased-accuracy-and-robustness-in-image-classification-1909.04779"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-techniques-all-classifiers-can-learn-from-deep-networks-models-optimizations-and-regularization-1909.04791</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-techniques-all-classifiers-can-learn-from-deep-networks-models-optimizations-and-regularization-1909.04791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-techniques-all-classifiers-can-learn-from-deep-networks-models-optimizations-and-regularization-1909.04791"/></url>
<url><loc>https://scifaro.com/en/abs/an-implicit-form-of-krasulina-s-k-pca-update-without-the-orthonormality-constraint-1909.04803</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-implicit-form-of-krasulina-s-k-pca-update-without-the-orthonormality-constraint-1909.04803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-implicit-form-of-krasulina-s-k-pca-update-without-the-orthonormality-constraint-1909.04803"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-equivalent-substitution-training-for-large-scale-recommender-systems-1909.04823</loc><lastmod>2020-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-equivalent-substitution-training-for-large-scale-recommender-systems-1909.04823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-equivalent-substitution-training-for-large-scale-recommender-systems-1909.04823"/></url>
<url><loc>https://scifaro.com/en/abs/gen-highly-efficient-smiles-explorer-using-autodidactic-generative-examination-networks-1909.04825</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gen-highly-efficient-smiles-explorer-using-autodidactic-generative-examination-networks-1909.04825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gen-highly-efficient-smiles-explorer-using-autodidactic-generative-examination-networks-1909.04825"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-and-resisting-adversarial-videos-using-temporal-consistency-1909.04837</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-and-resisting-adversarial-videos-using-temporal-consistency-1909.04837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-and-resisting-adversarial-videos-using-temporal-consistency-1909.04837"/></url>
<url><loc>https://scifaro.com/en/abs/pda-progressive-data-augmentation-for-general-robustness-of-deep-neural-networks-1909.04839</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pda-progressive-data-augmentation-for-general-robustness-of-deep-neural-networks-1909.04839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pda-progressive-data-augmentation-for-general-robustness-of-deep-neural-networks-1909.04839"/></url>
<url><loc>https://scifaro.com/en/abs/recognizing-variables-from-their-data-via-deep-embeddings-of-distributions-1909.04844</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recognizing-variables-from-their-data-via-deep-embeddings-of-distributions-1909.04844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recognizing-variables-from-their-data-via-deep-embeddings-of-distributions-1909.04844"/></url>
<url><loc>https://scifaro.com/en/abs/recsim-a-configurable-simulation-platform-for-recommender-systems-1909.04847</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recsim-a-configurable-simulation-platform-for-recommender-systems-1909.04847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recsim-a-configurable-simulation-platform-for-recommender-systems-1909.04847"/></url>
<url><loc>https://scifaro.com/en/abs/deep-declarative-networks-a-new-hope-1909.04866</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-declarative-networks-a-new-hope-1909.04866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-declarative-networks-a-new-hope-1909.04866"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-vector-valued-learning-improved-bounds-and-algorithms-1909.04883</loc><lastmod>2023-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-vector-valued-learning-improved-bounds-and-algorithms-1909.04883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-vector-valued-learning-improved-bounds-and-algorithms-1909.04883"/></url>
<url><loc>https://scifaro.com/en/abs/addressing-algorithmic-bottlenecks-in-elastic-machine-learning-with-chicle-1909.04885</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addressing-algorithmic-bottlenecks-in-elastic-machine-learning-with-chicle-1909.04885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addressing-algorithmic-bottlenecks-in-elastic-machine-learning-with-chicle-1909.04885"/></url>
<url><loc>https://scifaro.com/en/abs/automated-spectral-kernel-learning-1909.04894</loc><lastmod>2023-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-spectral-kernel-learning-1909.04894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-spectral-kernel-learning-1909.04894"/></url>
<url><loc>https://scifaro.com/en/abs/factorized-multiclass-boosting-1909.04904</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factorized-multiclass-boosting-1909.04904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factorized-multiclass-boosting-1909.04904"/></url>
<url><loc>https://scifaro.com/en/abs/on-weighted-uncertainty-sampling-in-active-learning-1909.04928</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-weighted-uncertainty-sampling-in-active-learning-1909.04928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-weighted-uncertainty-sampling-in-active-learning-1909.04928"/></url>
<url><loc>https://scifaro.com/en/abs/multi-year-vector-dynamic-time-warping-based-crop-mapping-1909.04930</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-year-vector-dynamic-time-warping-based-crop-mapping-1909.04930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-year-vector-dynamic-time-warping-based-crop-mapping-1909.04930"/></url>
<url><loc>https://scifaro.com/en/abs/joint-learning-of-graph-representation-and-node-features-in-graph-convolutional-neural-networks-1909.04931</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-learning-of-graph-representation-and-node-features-in-graph-convolutional-neural-networks-1909.04931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-learning-of-graph-representation-and-node-features-in-graph-convolutional-neural-networks-1909.04931"/></url>
<url><loc>https://scifaro.com/en/abs/inceptiontime-finding-alexnet-for-time-series-classification-1909.04939</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inceptiontime-finding-alexnet-for-time-series-classification-1909.04939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inceptiontime-finding-alexnet-for-time-series-classification-1909.04939"/></url>
<url><loc>https://scifaro.com/en/abs/domain-agnostic-few-shot-classification-by-learning-disparate-modulators-1909.04999</loc><lastmod>2020-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-agnostic-few-shot-classification-by-learning-disparate-modulators-1909.04999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-agnostic-few-shot-classification-by-learning-disparate-modulators-1909.04999"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-optimal-value-functions-by-interpolating-reward-functions-in-scalarized-multi-objective-reinforcement-learning-1909.05004</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-optimal-value-functions-by-interpolating-reward-functions-in-scalarized-multi-objective-reinforcement-learning-1909.05004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-optimal-value-functions-by-interpolating-reward-functions-in-scalarized-multi-objective-reinforcement-learning-1909.05004"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-propagate-for-graph-meta-learning-1909.05024</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-propagate-for-graph-meta-learning-1909.05024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-propagate-for-graph-meta-learning-1909.05024"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-and-imperceivable-adversarial-attacks-1909.05040</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-and-imperceivable-adversarial-attacks-1909.05040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-and-imperceivable-adversarial-attacks-1909.05040"/></url>
<url><loc>https://scifaro.com/en/abs/lazybum-decision-tree-learning-using-lazy-propositionalization-1909.05044</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lazybum-decision-tree-learning-using-lazy-propositionalization-1909.05044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lazybum-decision-tree-learning-using-lazy-propositionalization-1909.05044"/></url>
<url><loc>https://scifaro.com/en/abs/logarithmic-regret-for-online-control-1909.05062</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logarithmic-regret-for-online-control-1909.05062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logarithmic-regret-for-online-control-1909.05062"/></url>
<url><loc>https://scifaro.com/en/abs/pconv-the-missing-but-desirable-sparsity-in-dnn-weight-pruning-for-real-time-execution-on-mobile-devices-1909.05073</loc><lastmod>2020-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pconv-the-missing-but-desirable-sparsity-in-dnn-weight-pruning-for-real-time-execution-on-mobile-devices-1909.05073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pconv-the-missing-but-desirable-sparsity-in-dnn-weight-pruning-for-real-time-execution-on-mobile-devices-1909.05073"/></url>
<url><loc>https://scifaro.com/en/abs/structural-robustness-for-deep-learning-architectures-1909.05095</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-robustness-for-deep-learning-architectures-1909.05095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-robustness-for-deep-learning-architectures-1909.05095"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-detect-novelty-in-textual-data-streams-a-comparative-study-of-existing-methods-1909.05099</loc><lastmod>2019-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-detect-novelty-in-textual-data-streams-a-comparative-study-of-existing-methods-1909.05099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-detect-novelty-in-textual-data-streams-a-comparative-study-of-existing-methods-1909.05099"/></url>
<url><loc>https://scifaro.com/en/abs/group-representation-theory-for-knowledge-graph-embedding-1909.05100</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-representation-theory-for-knowledge-graph-embedding-1909.05100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-representation-theory-for-knowledge-graph-embedding-1909.05100"/></url>
<url><loc>https://scifaro.com/en/abs/correlation-priors-for-reinforcement-learning-1909.05106</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlation-priors-for-reinforcement-learning-1909.05106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlation-priors-for-reinforcement-learning-1909.05106"/></url>
<url><loc>https://scifaro.com/en/abs/powernet-efficient-representations-of-polynomials-and-smooth-functions-by-deep-neural-networks-with-rectified-power-units-1909.05136</loc><lastmod>2020-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/powernet-efficient-representations-of-polynomials-and-smooth-functions-by-deep-neural-networks-with-rectified-power-units-1909.05136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/powernet-efficient-representations-of-polynomials-and-smooth-functions-by-deep-neural-networks-with-rectified-power-units-1909.05136"/></url>
<url><loc>https://scifaro.com/en/abs/fat-forensics-a-python-toolbox-for-algorithmic-fairness-accountability-and-transparency-1909.05167</loc><lastmod>2022-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fat-forensics-a-python-toolbox-for-algorithmic-fairness-accountability-and-transparency-1909.05167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fat-forensics-a-python-toolbox-for-algorithmic-fairness-accountability-and-transparency-1909.05167"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-machine-intelligence-at-the-edge-of-chaos-1909.05176</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-machine-intelligence-at-the-edge-of-chaos-1909.05176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-machine-intelligence-at-the-edge-of-chaos-1909.05176"/></url>
<url><loc>https://scifaro.com/en/abs/introduction-to-online-convex-optimization-1909.05207</loc><lastmod>2023-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introduction-to-online-convex-optimization-1909.05207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introduction-to-online-convex-optimization-1909.05207"/></url>
<url><loc>https://scifaro.com/en/abs/safe-policy-improvement-with-an-estimated-baseline-policy-1909.05236</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-policy-improvement-with-an-estimated-baseline-policy-1909.05236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-policy-improvement-with-an-estimated-baseline-policy-1909.05236"/></url>
<url><loc>https://scifaro.com/en/abs/contrastively-smoothed-class-alignment-for-unsupervised-domain-adaptation-1909.05288</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastively-smoothed-class-alignment-for-unsupervised-domain-adaptation-1909.05288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastively-smoothed-class-alignment-for-unsupervised-domain-adaptation-1909.05288"/></url>
<url><loc>https://scifaro.com/en/abs/deep-prediction-of-investor-interest-a-supervised-clustering-approach-1909.05289</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-prediction-of-investor-interest-a-supervised-clustering-approach-1909.05289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-prediction-of-investor-interest-a-supervised-clustering-approach-1909.05289"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-graph-convolutional-networks-1909.05310</loc><lastmod>2020-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-graph-convolutional-networks-1909.05310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-graph-convolutional-networks-1909.05310"/></url>
<url><loc>https://scifaro.com/en/abs/scienet-deep-learning-with-spike-assisted-contextual-information-extraction-1909.05314</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scienet-deep-learning-with-spike-assisted-contextual-information-extraction-1909.05314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scienet-deep-learning-with-spike-assisted-contextual-information-extraction-1909.05314"/></url>
<url><loc>https://scifaro.com/en/abs/the-error-feedback-framework-better-rates-for-sgd-with-delayed-gradients-and-compressed-communication-1909.05350</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-error-feedback-framework-better-rates-for-sgd-with-delayed-gradients-and-compressed-communication-1909.05350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-error-feedback-framework-better-rates-for-sgd-with-delayed-gradients-and-compressed-communication-1909.05350"/></url>
<url><loc>https://scifaro.com/en/abs/domain-aggregation-networks-for-multi-source-domain-adaptation-1909.05352</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-aggregation-networks-for-multi-source-domain-adaptation-1909.05352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-aggregation-networks-for-multi-source-domain-adaptation-1909.05352"/></url>
<url><loc>https://scifaro.com/en/abs/gmls-nets-a-framework-for-learning-from-unstructured-data-1909.05371</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gmls-nets-a-framework-for-learning-from-unstructured-data-1909.05371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gmls-nets-a-framework-for-learning-from-unstructured-data-1909.05371"/></url>
<url><loc>https://scifaro.com/en/abs/overton-a-data-system-for-monitoring-and-improving-machine-learned-products-1909.05372</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overton-a-data-system-for-monitoring-and-improving-machine-learned-products-1909.05372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overton-a-data-system-for-monitoring-and-improving-machine-learned-products-1909.05372"/></url>
<url><loc>https://scifaro.com/en/abs/an-online-reinforcement-learning-approach-to-quality-cost-aware-task-allocation-for-multi-attribute-social-sensing-1909.05388</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-online-reinforcement-learning-approach-to-quality-cost-aware-task-allocation-for-multi-attribute-social-sensing-1909.05388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-online-reinforcement-learning-approach-to-quality-cost-aware-task-allocation-for-multi-attribute-social-sensing-1909.05388"/></url>
<url><loc>https://scifaro.com/en/abs/time-weighted-attentional-session-aware-recommender-system-1909.05414</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-weighted-attentional-session-aware-recommender-system-1909.05414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-weighted-attentional-session-aware-recommender-system-1909.05414"/></url>
<url><loc>https://scifaro.com/en/abs/feedback-learning-for-improving-the-robustness-of-neural-networks-1909.05443</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feedback-learning-for-improving-the-robustness-of-neural-networks-1909.05443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feedback-learning-for-improving-the-robustness-of-neural-networks-1909.05443"/></url>
<url><loc>https://scifaro.com/en/abs/feature-engineering-and-forecasting-via-derivative-free-optimization-and-ensemble-of-sequence-to-sequence-networks-with-applications-in-renewable-energy-1909.05447</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-engineering-and-forecasting-via-derivative-free-optimization-and-ensemble-of-sequence-to-sequence-networks-with-applications-in-renewable-energy-1909.05447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-engineering-and-forecasting-via-derivative-free-optimization-and-ensemble-of-sequence-to-sequence-networks-with-applications-in-renewable-energy-1909.05447"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-likelihood-constraint-inference-for-inverse-reinforcement-learning-1909.05477</loc><lastmod>2020-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-likelihood-constraint-inference-for-inverse-reinforcement-learning-1909.05477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-likelihood-constraint-inference-for-inverse-reinforcement-learning-1909.05477"/></url>
<url><loc>https://scifaro.com/en/abs/generating-accurate-pseudo-labels-in-semi-supervised-learning-and-avoiding-overconfident-predictions-via-hermite-polynomial-activations-1909.05479</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-accurate-pseudo-labels-in-semi-supervised-learning-and-avoiding-overconfident-predictions-via-hermite-polynomial-activations-1909.05479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-accurate-pseudo-labels-in-semi-supervised-learning-and-avoiding-overconfident-predictions-via-hermite-polynomial-activations-1909.05479"/></url>
<url><loc>https://scifaro.com/en/abs/the-randomized-midpoint-method-for-log-concave-sampling-1909.05503</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-randomized-midpoint-method-for-log-concave-sampling-1909.05503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-randomized-midpoint-method-for-log-concave-sampling-1909.05503"/></url>
<url><loc>https://scifaro.com/en/abs/inspecting-adversarial-examples-using-the-fisher-information-1909.05527</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inspecting-adversarial-examples-using-the-fisher-information-1909.05527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inspecting-adversarial-examples-using-the-fisher-information-1909.05527"/></url>
<url><loc>https://scifaro.com/en/abs/modular-meta-learning-with-shrinkage-1909.05557</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modular-meta-learning-with-shrinkage-1909.05557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modular-meta-learning-with-shrinkage-1909.05557"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-investigation-of-randomized-defenses-against-adversarial-attacks-1909.05580</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-investigation-of-randomized-defenses-against-adversarial-attacks-1909.05580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-investigation-of-randomized-defenses-against-adversarial-attacks-1909.05580"/></url>
<url><loc>https://scifaro.com/en/abs/a-channel-pruned-and-weight-binarized-convolutional-neural-network-for-keyword-spotting-1909.05623</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-channel-pruned-and-weight-binarized-convolutional-neural-network-for-keyword-spotting-1909.05623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-channel-pruned-and-weight-binarized-convolutional-neural-network-for-keyword-spotting-1909.05623"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcing-medical-image-classifier-to-improve-generalization-on-small-datasets-1909.05630</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcing-medical-image-classifier-to-improve-generalization-on-small-datasets-1909.05630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcing-medical-image-classifier-to-improve-generalization-on-small-datasets-1909.05630"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-deep-learning-for-video-recognition-tasks-a-framework-recommendations-1909.05667</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-deep-learning-for-video-recognition-tasks-a-framework-recommendations-1909.05667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-deep-learning-for-video-recognition-tasks-a-framework-recommendations-1909.05667"/></url>
<url><loc>https://scifaro.com/en/abs/coarse-scale-pdes-from-fine-scale-observations-via-machine-learning-1909.05707</loc><lastmod>2021-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coarse-scale-pdes-from-fine-scale-observations-via-machine-learning-1909.05707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coarse-scale-pdes-from-fine-scale-observations-via-machine-learning-1909.05707"/></url>
<url><loc>https://scifaro.com/en/abs/gresnet-graph-residual-network-for-reviving-deep-gnns-from-suspended-animation-1909.05729</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gresnet-graph-residual-network-for-reviving-deep-gnns-from-suspended-animation-1909.05729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gresnet-graph-residual-network-for-reviving-deep-gnns-from-suspended-animation-1909.05729"/></url>
<url><loc>https://scifaro.com/en/abs/a-tale-of-two-toolkits-report-the-first-benchmarking-time-series-classification-algorithms-for-correctness-and-efficiency-1909.05738</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tale-of-two-toolkits-report-the-first-benchmarking-time-series-classification-algorithms-for-correctness-and-efficiency-1909.05738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tale-of-two-toolkits-report-the-first-benchmarking-time-series-classification-algorithms-for-correctness-and-efficiency-1909.05738"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-hardness-of-robust-classification-1909.05822</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-hardness-of-robust-classification-1909.05822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-hardness-of-robust-classification-1909.05822"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-foresight-self-supervised-learning-of-long-horizon-tasks-via-visual-subgoal-generation-1909.05829</loc><lastmod>2019-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-foresight-self-supervised-learning-of-long-horizon-tasks-via-visual-subgoal-generation-1909.05829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-foresight-self-supervised-learning-of-long-horizon-tasks-via-visual-subgoal-generation-1909.05829"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-meta-learning-1909.05830</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-meta-learning-1909.05830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-meta-learning-1909.05830"/></url>
<url><loc>https://scifaro.com/en/abs/learning-symbolic-physics-with-graph-networks-1909.05862</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-symbolic-physics-with-graph-networks-1909.05862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-symbolic-physics-with-graph-networks-1909.05862"/></url>
<url><loc>https://scifaro.com/en/abs/nearly-optimal-algorithms-for-piecewise-stationary-cascading-bandits-1909.05886</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearly-optimal-algorithms-for-piecewise-stationary-cascading-bandits-1909.05886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearly-optimal-algorithms-for-piecewise-stationary-cascading-bandits-1909.05886"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-posterior-probability-estimation-for-classifiers-1909.05894</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-posterior-probability-estimation-for-classifiers-1909.05894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-posterior-probability-estimation-for-classifiers-1909.05894"/></url>
<url><loc>https://scifaro.com/en/abs/adjusting-rate-of-spread-factors-through-derivative-free-optimization-a-new-methodology-to-improve-the-performance-of-forest-fire-simulators-1909.05949</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adjusting-rate-of-spread-factors-through-derivative-free-optimization-a-new-methodology-to-improve-the-performance-of-forest-fire-simulators-1909.05949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adjusting-rate-of-spread-factors-through-derivative-free-optimization-a-new-methodology-to-improve-the-performance-of-forest-fire-simulators-1909.05949"/></url>
<url><loc>https://scifaro.com/en/abs/mutual-information-regularization-in-markov-decision-processes-and-actor-critic-learning-1909.05950</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mutual-information-regularization-in-markov-decision-processes-and-actor-critic-learning-1909.05950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mutual-information-regularization-in-markov-decision-processes-and-actor-critic-learning-1909.05950"/></url>
<url><loc>https://scifaro.com/en/abs/finite-depth-and-width-corrections-to-the-neural-tangent-kernel-1909.05989</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-depth-and-width-corrections-to-the-neural-tangent-kernel-1909.05989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-depth-and-width-corrections-to-the-neural-tangent-kernel-1909.05989"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-partitions-aligned-clustering-1909.06008</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-partitions-aligned-clustering-1909.06008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-partitions-aligned-clustering-1909.06008"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-a-comparison-of-ucb-versus-alternative-adaptive-policies-1909.06019</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-a-comparison-of-ucb-versus-alternative-adaptive-policies-1909.06019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-a-comparison-of-ucb-versus-alternative-adaptive-policies-1909.06019"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-and-boosting-uncertainty-quantification-in-classification-1909.06030</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-and-boosting-uncertainty-quantification-in-classification-1909.06030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-and-boosting-uncertainty-quantification-in-classification-1909.06030"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learned-path-planning-via-randomized-reward-linked-goals-and-potential-space-applications-1909.06034</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learned-path-planning-via-randomized-reward-linked-goals-and-potential-space-applications-1909.06034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learned-path-planning-via-randomized-reward-linked-goals-and-potential-space-applications-1909.06034"/></url>
<url><loc>https://scifaro.com/en/abs/dl2-a-deep-learning-driven-scheduler-for-deep-learning-clusters-1909.06040</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dl2-a-deep-learning-driven-scheduler-for-deep-learning-clusters-1909.06040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dl2-a-deep-learning-driven-scheduler-for-deep-learning-clusters-1909.06040"/></url>
<url><loc>https://scifaro.com/en/abs/lstm-based-anomaly-detection-detection-rules-from-extreme-value-theory-1909.06041</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lstm-based-anomaly-detection-detection-rules-from-extreme-value-theory-1909.06041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lstm-based-anomaly-detection-detection-rules-from-extreme-value-theory-1909.06041"/></url>
<url><loc>https://scifaro.com/en/abs/deep-adversarial-belief-networks-1909.06134</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-adversarial-belief-networks-1909.06134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-adversarial-belief-networks-1909.06134"/></url>
<url><loc>https://scifaro.com/en/abs/defending-against-adversarial-attacks-by-suppressing-the-largest-eigenvalue-of-fisher-information-matrix-1909.06137</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defending-against-adversarial-attacks-by-suppressing-the-largest-eigenvalue-of-fisher-information-matrix-1909.06137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defending-against-adversarial-attacks-by-suppressing-the-largest-eigenvalue-of-fisher-information-matrix-1909.06137"/></url>
<url><loc>https://scifaro.com/en/abs/hjb-optimal-feedback-control-with-deep-differential-value-functions-and-action-constraints-1909.06153</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hjb-optimal-feedback-control-with-deep-differential-value-functions-and-action-constraints-1909.06153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hjb-optimal-feedback-control-with-deep-differential-value-functions-and-action-constraints-1909.06153"/></url>
<url><loc>https://scifaro.com/en/abs/rho-vae-autoregressive-parametrization-of-the-vae-encoder-1909.06236</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rho-vae-autoregressive-parametrization-of-the-vae-encoder-1909.06236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rho-vae-autoregressive-parametrization-of-the-vae-encoder-1909.06236"/></url>
<url><loc>https://scifaro.com/en/abs/white-box-adversarial-defense-via-self-supervised-data-estimation-1909.06271</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/white-box-adversarial-defense-via-self-supervised-data-estimation-1909.06271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/white-box-adversarial-defense-via-self-supervised-data-estimation-1909.06271"/></url>
<url><loc>https://scifaro.com/en/abs/isl-a-novel-approach-for-deep-exploration-1909.06293</loc><lastmod>2020-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/isl-a-novel-approach-for-deep-exploration-1909.06293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/isl-a-novel-approach-for-deep-exploration-1909.06293"/></url>
<url><loc>https://scifaro.com/en/abs/fast-low-rank-metric-learning-for-large-scale-and-high-dimensional-data-1909.06297</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-low-rank-metric-learning-for-large-scale-and-high-dimensional-data-1909.06297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-low-rank-metric-learning-for-large-scale-and-high-dimensional-data-1909.06297"/></url>
<url><loc>https://scifaro.com/en/abs/aituning-machine-learning-based-tuning-tool-for-run-time-communication-libraries-1909.06301</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aituning-machine-learning-based-tuning-tool-for-run-time-communication-libraries-1909.06301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aituning-machine-learning-based-tuning-tool-for-run-time-communication-libraries-1909.06301"/></url>
<url><loc>https://scifaro.com/en/abs/neural-oblivious-decision-ensembles-for-deep-learning-on-tabular-data-1909.06312</loc><lastmod>2019-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-oblivious-decision-ensembles-for-deep-learning-on-tabular-data-1909.06312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-oblivious-decision-ensembles-for-deep-learning-on-tabular-data-1909.06312"/></url>
<url><loc>https://scifaro.com/en/abs/flow-models-for-arbitrary-conditional-likelihoods-1909.06319</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flow-models-for-arbitrary-conditional-likelihoods-1909.06319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flow-models-for-arbitrary-conditional-likelihoods-1909.06319"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-the-effects-of-non-identical-data-distribution-for-federated-visual-classification-1909.06335</loc><lastmod>2019-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-the-effects-of-non-identical-data-distribution-for-federated-visual-classification-1909.06335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-the-effects-of-non-identical-data-distribution-for-federated-visual-classification-1909.06335"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-machine-learning-in-deployment-1909.06342</loc><lastmod>2020-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-machine-learning-in-deployment-1909.06342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-machine-learning-in-deployment-1909.06342"/></url>
<url><loc>https://scifaro.com/en/abs/slice-based-learning-a-programming-model-for-residual-learning-in-critical-data-slices-1909.06349</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slice-based-learning-a-programming-model-for-residual-learning-in-critical-data-slices-1909.06349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slice-based-learning-a-programming-model-for-residual-learning-in-critical-data-slices-1909.06349"/></url>
<url><loc>https://scifaro.com/en/abs/horizontal-flows-and-manifold-stochastics-in-geometric-deep-learning-1909.06397</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/horizontal-flows-and-manifold-stochastics-in-geometric-deep-learning-1909.06397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/horizontal-flows-and-manifold-stochastics-in-geometric-deep-learning-1909.06397"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-scheduling-for-multi-task-learning-1909.06434</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-scheduling-for-multi-task-learning-1909.06434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-scheduling-for-multi-task-learning-1909.06434"/></url>
<url><loc>https://scifaro.com/en/abs/flight-controller-synthesis-via-deep-reinforcement-learning-1909.06493</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flight-controller-synthesis-via-deep-reinforcement-learning-1909.06493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flight-controller-synthesis-via-deep-reinforcement-learning-1909.06493"/></url>
<url><loc>https://scifaro.com/en/abs/node-injection-attacks-on-graphs-via-reinforcement-learning-1909.06543</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-injection-attacks-on-graphs-via-reinforcement-learning-1909.06543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-injection-attacks-on-graphs-via-reinforcement-learning-1909.06543"/></url>
<url><loc>https://scifaro.com/en/abs/torchmeta-a-meta-learning-library-for-pytorch-1909.06576</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/torchmeta-a-meta-learning-library-for-pytorch-1909.06576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/torchmeta-a-meta-learning-library-for-pytorch-1909.06576"/></url>
<url><loc>https://scifaro.com/en/abs/branch-and-bound-for-piecewise-linear-neural-network-verification-1909.06588</loc><lastmod>2025-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/branch-and-bound-for-piecewise-linear-neural-network-verification-1909.06588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/branch-and-bound-for-piecewise-linear-neural-network-verification-1909.06588"/></url>
<url><loc>https://scifaro.com/en/abs/learning-interpretable-disease-self-representations-for-drug-repositioning-1909.06609</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-interpretable-disease-self-representations-for-drug-repositioning-1909.06609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-interpretable-disease-self-representations-for-drug-repositioning-1909.06609"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-film-capturing-long-range-sequence-dependencies-with-feature-wise-modulations-1909.06628</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-film-capturing-long-range-sequence-dependencies-with-feature-wise-modulations-1909.06628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-film-capturing-long-range-sequence-dependencies-with-feature-wise-modulations-1909.06628"/></url>
<url><loc>https://scifaro.com/en/abs/a-step-toward-quantifying-independently-reproducible-machine-learning-research-1909.06674</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-step-toward-quantifying-independently-reproducible-machine-learning-research-1909.06674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-step-toward-quantifying-independently-reproducible-machine-learning-research-1909.06674"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-multiplicity-in-classification-1909.06677</loc><lastmod>2020-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-multiplicity-in-classification-1909.06677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-multiplicity-in-classification-1909.06677"/></url>
<url><loc>https://scifaro.com/en/abs/neural-architecture-search-for-class-incremental-learning-1909.06686</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-architecture-search-for-class-incremental-learning-1909.06686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-architecture-search-for-class-incremental-learning-1909.06686"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-partial-multi-label-learning-1909.06717</loc><lastmod>2020-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-partial-multi-label-learning-1909.06717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-partial-multi-label-learning-1909.06717"/></url>
<url><loc>https://scifaro.com/en/abs/lrs-dag-low-resource-supervised-domain-adaptation-with-generalization-across-domains-1909.06718</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lrs-dag-low-resource-supervised-domain-adaptation-with-generalization-across-domains-1909.06718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lrs-dag-low-resource-supervised-domain-adaptation-with-generalization-across-domains-1909.06718"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-towards-characterizing-deep-learning-development-and-deployment-across-different-frameworks-and-platforms-1909.06727</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-towards-characterizing-deep-learning-development-and-deployment-across-different-frameworks-and-platforms-1909.06727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-towards-characterizing-deep-learning-development-and-deployment-across-different-frameworks-and-platforms-1909.06727"/></url>
<url><loc>https://scifaro.com/en/abs/vild-variational-imitation-learning-with-diverse-quality-demonstrations-1909.06769</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vild-variational-imitation-learning-with-diverse-quality-demonstrations-1909.06769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vild-variational-imitation-learning-with-diverse-quality-demonstrations-1909.06769"/></url>
<url><loc>https://scifaro.com/en/abs/target-focused-feature-selection-using-a-bayesian-approach-1909.06772</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/target-focused-feature-selection-using-a-bayesian-approach-1909.06772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/target-focused-feature-selection-using-a-bayesian-approach-1909.06772"/></url>
<url><loc>https://scifaro.com/en/abs/wield-systematic-reinforcement-learning-with-progressive-randomization-1909.06844</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wield-systematic-reinforcement-learning-with-progressive-randomization-1909.06844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wield-systematic-reinforcement-learning-with-progressive-randomization-1909.06844"/></url>
<url><loc>https://scifaro.com/en/abs/biased-estimates-of-advantages-over-path-ensembles-1909.06851</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biased-estimates-of-advantages-over-path-ensembles-1909.06851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biased-estimates-of-advantages-over-path-ensembles-1909.06851"/></url>
<url><loc>https://scifaro.com/en/abs/marlrank-multi-agent-reinforced-learning-to-rank-1909.06859</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marlrank-multi-agent-reinforced-learning-to-rank-1909.06859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marlrank-multi-agent-reinforced-learning-to-rank-1909.06859"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-diffusion-tikhonov-regularization-1909.06860</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-diffusion-tikhonov-regularization-1909.06860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-diffusion-tikhonov-regularization-1909.06860"/></url>
<url><loc>https://scifaro.com/en/abs/online-k-means-clustering-1909.06861</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-k-means-clustering-1909.06861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-k-means-clustering-1909.06861"/></url>
<url><loc>https://scifaro.com/en/abs/i-mad-interpretable-malware-detector-using-galaxy-transformer-1909.06865</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/i-mad-interpretable-malware-detector-using-galaxy-transformer-1909.06865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/i-mad-interpretable-malware-detector-using-galaxy-transformer-1909.06865"/></url>
<url><loc>https://scifaro.com/en/abs/choracle-a-unified-statistical-framework-for-churn-prediction-1909.06868</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/choracle-a-unified-statistical-framework-for-churn-prediction-1909.06868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/choracle-a-unified-statistical-framework-for-churn-prediction-1909.06868"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-adversarial-samples-using-influence-functions-and-nearest-neighbors-1909.06872</loc><lastmod>2020-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-adversarial-samples-using-influence-functions-and-nearest-neighbors-1909.06872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-adversarial-samples-using-influence-functions-and-nearest-neighbors-1909.06872"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-planning-with-energy-based-models-1909.06878</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-planning-with-energy-based-models-1909.06878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-planning-with-energy-based-models-1909.06878"/></url>
<url><loc>https://scifaro.com/en/abs/tim-dnn-ternary-in-memory-accelerator-for-deep-neural-networks-1909.06892</loc><lastmod>2020-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tim-dnn-ternary-in-memory-accelerator-for-deep-neural-networks-1909.06892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tim-dnn-ternary-in-memory-accelerator-for-deep-neural-networks-1909.06892"/></url>
<url><loc>https://scifaro.com/en/abs/sinkhorn-algorithm-as-a-special-case-of-stochastic-mirror-descent-1909.06918</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sinkhorn-algorithm-as-a-special-case-of-stochastic-mirror-descent-1909.06918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sinkhorn-algorithm-as-a-special-case-of-stochastic-mirror-descent-1909.06918"/></url>
<url><loc>https://scifaro.com/en/abs/no-free-lunch-but-a-cheaper-supper-a-general-framework-for-streaming-anomaly-detection-1909.06927</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-free-lunch-but-a-cheaper-supper-a-general-framework-for-streaming-anomaly-detection-1909.06927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-free-lunch-but-a-cheaper-supper-a-general-framework-for-streaming-anomaly-detection-1909.06927"/></url>
<url><loc>https://scifaro.com/en/abs/unaligned-sequence-similarity-search-using-deep-learning-1909.06929</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unaligned-sequence-similarity-search-using-deep-learning-1909.06929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unaligned-sequence-similarity-search-using-deep-learning-1909.06929"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-separability-of-classes-with-the-cross-entropy-loss-function-1909.06930</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-separability-of-classes-with-the-cross-entropy-loss-function-1909.06930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-separability-of-classes-with-the-cross-entropy-loss-function-1909.06930"/></url>
<url><loc>https://scifaro.com/en/abs/multi-graph-fusion-for-multi-view-spectral-clustering-1909.06940</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-graph-fusion-for-multi-view-spectral-clustering-1909.06940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-graph-fusion-for-multi-view-spectral-clustering-1909.06940"/></url>
<url><loc>https://scifaro.com/en/abs/a-stochastic-proximal-point-algorithm-for-saddle-point-problems-1909.06946</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stochastic-proximal-point-algorithm-for-saddle-point-problems-1909.06946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stochastic-proximal-point-algorithm-for-saddle-point-problems-1909.06946"/></url>
<url><loc>https://scifaro.com/en/abs/dasnet-dynamic-activation-sparsity-for-neural-network-efficiency-improvement-1909.06964</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dasnet-dynamic-activation-sparsity-for-neural-network-efficiency-improvement-1909.06964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dasnet-dynamic-activation-sparsity-for-neural-network-efficiency-improvement-1909.06964"/></url>
<url><loc>https://scifaro.com/en/abs/better-ai-through-logical-scaffolding-1909.06965</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-ai-through-logical-scaffolding-1909.06965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-ai-through-logical-scaffolding-1909.06965"/></url>
<url><loc>https://scifaro.com/en/abs/a-few-filters-are-enough-convolutional-neural-network-for-p300-detection-1909.06970</loc><lastmod>2020-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-few-filters-are-enough-convolutional-neural-network-for-p300-detection-1909.06970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-few-filters-are-enough-convolutional-neural-network-for-p300-detection-1909.06970"/></url>
<url><loc>https://scifaro.com/en/abs/inference-for-multiple-object-tracking-a-bayesian-nonparametric-approach-1909.06984</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-for-multiple-object-tracking-a-bayesian-nonparametric-approach-1909.06984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-for-multiple-object-tracking-a-bayesian-nonparametric-approach-1909.06984"/></url>
<url><loc>https://scifaro.com/en/abs/gumbel-softmax-optimization-a-simple-general-framework-for-combinatorial-optimization-problems-on-graphs-1909.07018</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gumbel-softmax-optimization-a-simple-general-framework-for-combinatorial-optimization-problems-on-graphs-1909.07018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gumbel-softmax-optimization-a-simple-general-framework-for-combinatorial-optimization-problems-on-graphs-1909.07018"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-under-heavy-tailed-payoffs-1909.07040</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-under-heavy-tailed-payoffs-1909.07040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-under-heavy-tailed-payoffs-1909.07040"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-remaining-useful-life-prediction-based-on-consensus-self-organizing-models-1909.07053</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-remaining-useful-life-prediction-based-on-consensus-self-organizing-models-1909.07053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-remaining-useful-life-prediction-based-on-consensus-self-organizing-models-1909.07053"/></url>
<url><loc>https://scifaro.com/en/abs/global-autoregressive-models-for-data-efficient-sequence-learning-1909.07063</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-autoregressive-models-for-data-efficient-sequence-learning-1909.07063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-autoregressive-models-for-data-efficient-sequence-learning-1909.07063"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-rigorous-evaluation-of-xai-methods-on-time-series-1909.07082</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-rigorous-evaluation-of-xai-methods-on-time-series-1909.07082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-rigorous-evaluation-of-xai-methods-on-time-series-1909.07082"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-neural-models-for-sequence-modelling-the-best-of-three-worlds-1909.07102</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-neural-models-for-sequence-modelling-the-best-of-three-worlds-1909.07102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-neural-models-for-sequence-modelling-the-best-of-three-worlds-1909.07102"/></url>
<url><loc>https://scifaro.com/en/abs/adaboost-assisted-extreme-learning-machine-for-efficient-online-sequential-classification-1909.07115</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaboost-assisted-extreme-learning-machine-for-efficient-online-sequential-classification-1909.07115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaboost-assisted-extreme-learning-machine-for-efficient-online-sequential-classification-1909.07115"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-sampling-for-combined-model-selection-and-hyperparameter-tuning-1909.07140</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-sampling-for-combined-model-selection-and-hyperparameter-tuning-1909.07140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-sampling-for-combined-model-selection-and-hyperparameter-tuning-1909.07140"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchic-neighbors-embedding-1909.07142</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchic-neighbors-embedding-1909.07142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchic-neighbors-embedding-1909.07142"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-for-few-shot-time-series-classification-1909.07155</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-for-few-shot-time-series-classification-1909.07155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-for-few-shot-time-series-classification-1909.07155"/></url>
<url><loc>https://scifaro.com/en/abs/new-perspective-of-interpretability-of-deep-neural-networks-1909.07156</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-perspective-of-interpretability-of-deep-neural-networks-1909.07156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-perspective-of-interpretability-of-deep-neural-networks-1909.07156"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-representation-of-patients-and-its-use-for-medical-cost-prediction-1909.07157</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-representation-of-patients-and-its-use-for-medical-cost-prediction-1909.07157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-representation-of-patients-and-its-use-for-medical-cost-prediction-1909.07157"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-survival-prediction-in-intensive-care-units-from-heterogeneous-time-series-without-the-need-for-variable-selection-or-pre-processing-1909.07214</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-survival-prediction-in-intensive-care-units-from-heterogeneous-time-series-without-the-need-for-variable-selection-or-pre-processing-1909.07214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-survival-prediction-in-intensive-care-units-from-heterogeneous-time-series-without-the-need-for-variable-selection-or-pre-processing-1909.07214"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-tune-xgboost-with-xgboost-1909.07218</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-tune-xgboost-with-xgboost-1909.07218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-tune-xgboost-with-xgboost-1909.07218"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-apprenticeship-learning-for-player-modelling-in-interactive-narratives-1909.07268</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-apprenticeship-learning-for-player-modelling-in-interactive-narratives-1909.07268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-apprenticeship-learning-for-player-modelling-in-interactive-narratives-1909.07268"/></url>
<url><loc>https://scifaro.com/en/abs/selective-network-discovery-via-deep-reinforcement-learning-on-embedded-spaces-1909.07294</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-network-discovery-via-deep-reinforcement-learning-on-embedded-spaces-1909.07294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-network-discovery-via-deep-reinforcement-learning-on-embedded-spaces-1909.07294"/></url>
<url><loc>https://scifaro.com/en/abs/a-tsetlin-machine-with-multigranular-clauses-1909.07310</loc><lastmod>2019-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tsetlin-machine-with-multigranular-clauses-1909.07310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tsetlin-machine-with-multigranular-clauses-1909.07310"/></url>
<url><loc>https://scifaro.com/en/abs/learning-invariants-through-soft-unification-1909.07328</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-invariants-through-soft-unification-1909.07328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-invariants-through-soft-unification-1909.07328"/></url>
<url><loc>https://scifaro.com/en/abs/spatiotemporal-attention-networks-for-wind-power-forecasting-1909.07369</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatiotemporal-attention-networks-for-wind-power-forecasting-1909.07369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatiotemporal-attention-networks-for-wind-power-forecasting-1909.07369"/></url>
<url><loc>https://scifaro.com/en/abs/policy-prediction-network-model-free-behavior-policy-with-model-based-learning-in-continuous-action-space-1909.07373</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-prediction-network-model-free-behavior-policy-with-model-based-learning-in-continuous-action-space-1909.07373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-prediction-network-model-free-behavior-policy-with-model-based-learning-in-continuous-action-space-1909.07373"/></url>
<url><loc>https://scifaro.com/en/abs/a-linearly-constrained-nonparametric-framework-for-imitation-learning-1909.07374</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-linearly-constrained-nonparametric-framework-for-imitation-learning-1909.07374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-linearly-constrained-nonparametric-framework-for-imitation-learning-1909.07374"/></url>
<url><loc>https://scifaro.com/en/abs/where-are-the-keys-learning-object-centric-navigation-policies-on-semantic-maps-with-graph-convolutional-networks-1909.07376</loc><lastmod>2021-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/where-are-the-keys-learning-object-centric-navigation-policies-on-semantic-maps-with-graph-convolutional-networks-1909.07376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/where-are-the-keys-learning-object-centric-navigation-policies-on-semantic-maps-with-graph-convolutional-networks-1909.07376"/></url>
<url><loc>https://scifaro.com/en/abs/searching-for-accurate-binary-neural-architectures-1909.07378</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/searching-for-accurate-binary-neural-architectures-1909.07378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/searching-for-accurate-binary-neural-architectures-1909.07378"/></url>
<url><loc>https://scifaro.com/en/abs/a-characteristic-function-approach-to-deep-implicit-generative-modeling-1909.07425</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-characteristic-function-approach-to-deep-implicit-generative-modeling-1909.07425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-characteristic-function-approach-to-deep-implicit-generative-modeling-1909.07425"/></url>
<url><loc>https://scifaro.com/en/abs/learning-index-selection-with-structured-action-spaces-1909.07440</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-index-selection-with-structured-action-spaces-1909.07440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-index-selection-with-structured-action-spaces-1909.07440"/></url>
<url><loc>https://scifaro.com/en/abs/baffle-blockchain-based-aggregator-free-federated-learning-1909.07452</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/baffle-blockchain-based-aggregator-free-federated-learning-1909.07452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/baffle-blockchain-based-aggregator-free-federated-learning-1909.07452"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-how-embeddings-generalize-1909.07464</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-how-embeddings-generalize-1909.07464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-how-embeddings-generalize-1909.07464"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-for-choice-analysis-architectural-design-with-alternative-specific-utility-functions-1909.07481</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-for-choice-analysis-architectural-design-with-alternative-specific-utility-functions-1909.07481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-for-choice-analysis-architectural-design-with-alternative-specific-utility-functions-1909.07481"/></url>
<url><loc>https://scifaro.com/en/abs/the-animal-ai-environment-training-and-testing-animal-like-artificial-cognition-1909.07483</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-animal-ai-environment-training-and-testing-animal-like-artificial-cognition-1909.07483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-animal-ai-environment-training-and-testing-animal-like-artificial-cognition-1909.07483"/></url>
<url><loc>https://scifaro.com/en/abs/they-might-not-be-giants-crafting-black-box-adversarial-examples-with-fewer-queries-using-particle-swarm-optimization-1909.07490</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/they-might-not-be-giants-crafting-black-box-adversarial-examples-with-fewer-queries-using-particle-swarm-optimization-1909.07490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/they-might-not-be-giants-crafting-black-box-adversarial-examples-with-fewer-queries-using-particle-swarm-optimization-1909.07490"/></url>
<url><loc>https://scifaro.com/en/abs/emergent-tool-use-from-multi-agent-autocurricula-1909.07528</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emergent-tool-use-from-multi-agent-autocurricula-1909.07528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emergent-tool-use-from-multi-agent-autocurricula-1909.07528"/></url>
<url><loc>https://scifaro.com/en/abs/attraction-repulsion-actor-critic-for-continuous-control-reinforcement-learning-1909.07543</loc><lastmod>2020-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attraction-repulsion-actor-critic-for-continuous-control-reinforcement-learning-1909.07543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attraction-repulsion-actor-critic-for-continuous-control-reinforcement-learning-1909.07543"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-reinforcement-learning-for-open-domain-dialog-1909.07547</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-for-open-domain-dialog-1909.07547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-for-open-domain-dialog-1909.07547"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-deep-learning-approach-for-diagnosis-of-the-erythemato-squamous-disease-1909.07587</loc><lastmod>2020-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-deep-learning-approach-for-diagnosis-of-the-erythemato-squamous-disease-1909.07587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-deep-learning-approach-for-diagnosis-of-the-erythemato-squamous-disease-1909.07587"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-distributed-learning-via-lazily-aggregated-quantized-gradients-1909.07588</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-distributed-learning-via-lazily-aggregated-quantized-gradients-1909.07588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-distributed-learning-via-lazily-aggregated-quantized-gradients-1909.07588"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-prediction-based-spectral-clustering-1909.07594</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-prediction-based-spectral-clustering-1909.07594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-prediction-based-spectral-clustering-1909.07594"/></url>
<url><loc>https://scifaro.com/en/abs/refined-alpha-divergence-variational-inference-via-rejection-sampling-1909.07627</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/refined-alpha-divergence-variational-inference-via-rejection-sampling-1909.07627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/refined-alpha-divergence-variational-inference-via-rejection-sampling-1909.07627"/></url>
<url><loc>https://scifaro.com/en/abs/metalgan-a-cluster-based-adaptive-training-for-few-shot-adversarial-colorization-1909.07654</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metalgan-a-cluster-based-adaptive-training-for-few-shot-adversarial-colorization-1909.07654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metalgan-a-cluster-based-adaptive-training-for-few-shot-adversarial-colorization-1909.07654"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-for-automotive-foggy-scene-understanding-via-domain-adaptation-to-an-illumination-invariant-representation-1909.07697</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-for-automotive-foggy-scene-understanding-via-domain-adaptation-to-an-illumination-invariant-representation-1909.07697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-for-automotive-foggy-scene-understanding-via-domain-adaptation-to-an-illumination-invariant-representation-1909.07697"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-tracking-prediction-and-decision-making-methods-for-autonomous-driving-1909.07707</loc><lastmod>2023-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-tracking-prediction-and-decision-making-methods-for-autonomous-driving-1909.07707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-tracking-prediction-and-decision-making-methods-for-autonomous-driving-1909.07707"/></url>
<url><loc>https://scifaro.com/en/abs/k-tanh-efficient-tanh-for-deep-learning-1909.07729</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-tanh-efficient-tanh-for-deep-learning-1909.07729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-tanh-efficient-tanh-for-deep-learning-1909.07729"/></url>
<url><loc>https://scifaro.com/en/abs/multi-sense-embeddings-from-topic-models-1909.07746</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-sense-embeddings-from-topic-models-1909.07746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-sense-embeddings-from-topic-models-1909.07746"/></url>
<url><loc>https://scifaro.com/en/abs/mdp-playground-an-analysis-and-debug-testbed-for-reinforcement-learning-1909.07750</loc><lastmod>2023-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mdp-playground-an-analysis-and-debug-testbed-for-reinforcement-learning-1909.07750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mdp-playground-an-analysis-and-debug-testbed-for-reinforcement-learning-1909.07750"/></url>
<url><loc>https://scifaro.com/en/abs/global-optimal-path-based-clustering-algorithm-1909.07774</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-optimal-path-based-clustering-algorithm-1909.07774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-optimal-path-based-clustering-algorithm-1909.07774"/></url>
<url><loc>https://scifaro.com/en/abs/interpolation-prediction-networks-for-irregularly-sampled-time-series-1909.07782</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpolation-prediction-networks-for-irregularly-sampled-time-series-1909.07782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpolation-prediction-networks-for-irregularly-sampled-time-series-1909.07782"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-risk-sensitive-inverse-reinforcement-learning-1909.07843</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-risk-sensitive-inverse-reinforcement-learning-1909.07843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-risk-sensitive-inverse-reinforcement-learning-1909.07843"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-movement-control-optimization-landscapes-1909.07869</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-movement-control-optimization-landscapes-1909.07869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-movement-control-optimization-landscapes-1909.07869"/></url>
<url><loc>https://scifaro.com/en/abs/sktime-a-unified-interface-for-machine-learning-with-time-series-1909.07872</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sktime-a-unified-interface-for-machine-learning-with-time-series-1909.07872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sktime-a-unified-interface-for-machine-learning-with-time-series-1909.07872"/></url>
<url><loc>https://scifaro.com/en/abs/generating-black-box-adversarial-examples-for-text-classifiers-using-a-deep-reinforced-model-1909.07873</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-black-box-adversarial-examples-for-text-classifiers-using-a-deep-reinforced-model-1909.07873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-black-box-adversarial-examples-for-text-classifiers-using-a-deep-reinforced-model-1909.07873"/></url>
<url><loc>https://scifaro.com/en/abs/algorithm-for-training-neural-networks-on-resistive-device-arrays-1909.07908</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithm-for-training-neural-networks-on-resistive-device-arrays-1909.07908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithm-for-training-neural-networks-on-resistive-device-arrays-1909.07908"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-function-minimization-in-apache-spark-1909.07922</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-function-minimization-in-apache-spark-1909.07922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-function-minimization-in-apache-spark-1909.07922"/></url>
<url><loc>https://scifaro.com/en/abs/ludwig-a-type-based-declarative-deep-learning-toolbox-1909.07930</loc><lastmod>2019-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ludwig-a-type-based-declarative-deep-learning-toolbox-1909.07930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ludwig-a-type-based-declarative-deep-learning-toolbox-1909.07930"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-and-defenses-in-images-graphs-and-text-a-review-1909.08072</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-and-defenses-in-images-graphs-and-text-a-review-1909.08072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-and-defenses-in-images-graphs-and-text-a-review-1909.08072"/></url>
<url><loc>https://scifaro.com/en/abs/a-distributed-fair-machine-learning-framework-with-private-demographic-data-protection-1909.08081</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributed-fair-machine-learning-framework-with-private-demographic-data-protection-1909.08081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributed-fair-machine-learning-framework-with-private-demographic-data-protection-1909.08081"/></url>
<url><loc>https://scifaro.com/en/abs/the-explanation-game-explaining-machine-learning-models-using-shapley-values-1909.08128</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-explanation-game-explaining-machine-learning-models-using-shapley-values-1909.08128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-explanation-game-explaining-machine-learning-models-using-shapley-values-1909.08128"/></url>
<url><loc>https://scifaro.com/en/abs/dynamics-of-deep-neural-networks-and-neural-tangent-hierarchy-1909.08156</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamics-of-deep-neural-networks-and-neural-tangent-hierarchy-1909.08156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamics-of-deep-neural-networks-and-neural-tangent-hierarchy-1909.08156"/></url>
<url><loc>https://scifaro.com/en/abs/decision-directed-data-decomposition-1909.08159</loc><lastmod>2020-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-directed-data-decomposition-1909.08159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-directed-data-decomposition-1909.08159"/></url>
<url><loc>https://scifaro.com/en/abs/weighed-domain-invariant-representation-learning-for-cross-domain-sentiment-analysis-1909.08167</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighed-domain-invariant-representation-learning-for-cross-domain-sentiment-analysis-1909.08167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighed-domain-invariant-representation-learning-for-cross-domain-sentiment-analysis-1909.08167"/></url>
<url><loc>https://scifaro.com/en/abs/renyi-differentially-private-admm-for-non-smooth-regularized-optimization-1909.08180</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/renyi-differentially-private-admm-for-non-smooth-regularized-optimization-1909.08180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/renyi-differentially-private-admm-for-non-smooth-regularized-optimization-1909.08180"/></url>
<url><loc>https://scifaro.com/en/abs/self-boosted-time-series-forecasting-with-multi-task-and-multi-view-learning-1909.08181</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-boosted-time-series-forecasting-with-multi-task-and-multi-view-learning-1909.08181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-boosted-time-series-forecasting-with-multi-task-and-multi-view-learning-1909.08181"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-electricity-consumption-using-deep-recurrent-neural-networks-1909.08182</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-electricity-consumption-using-deep-recurrent-neural-networks-1909.08182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-electricity-consumption-using-deep-recurrent-neural-networks-1909.08182"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-with-dynamic-adversarial-adaptation-network-1909.08184</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-with-dynamic-adversarial-adaptation-network-1909.08184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-with-dynamic-adversarial-adaptation-network-1909.08184"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-generate-questions-with-adaptive-copying-neural-networks-1909.08187</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-generate-questions-with-adaptive-copying-neural-networks-1909.08187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-generate-questions-with-adaptive-copying-neural-networks-1909.08187"/></url>
<url><loc>https://scifaro.com/en/abs/pixelhop-a-successive-subspace-learning-ssl-method-for-object-classification-1909.08190</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pixelhop-a-successive-subspace-learning-ssl-method-for-object-classification-1909.08190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pixelhop-a-successive-subspace-learning-ssl-method-for-object-classification-1909.08190"/></url>
<url><loc>https://scifaro.com/en/abs/dual-adversarial-co-learning-for-multi-domain-text-classification-1909.08203</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-adversarial-co-learning-for-multi-domain-text-classification-1909.08203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-adversarial-co-learning-for-multi-domain-text-classification-1909.08203"/></url>
<url><loc>https://scifaro.com/en/abs/reformulation-of-rbm-to-unify-linear-and-nonlinear-dimensionality-reduction-1909.08210</loc><lastmod>2026-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reformulation-of-rbm-to-unify-linear-and-nonlinear-dimensionality-reduction-1909.08210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reformulation-of-rbm-to-unify-linear-and-nonlinear-dimensionality-reduction-1909.08210"/></url>
<url><loc>https://scifaro.com/en/abs/memory-augmented-neural-networks-for-machine-translation-1909.08314</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-augmented-neural-networks-for-machine-translation-1909.08314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-augmented-neural-networks-for-machine-translation-1909.08314"/></url>
<url><loc>https://scifaro.com/en/abs/from-server-based-to-client-based-machine-learning-a-comprehensive-survey-1909.08329</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-server-based-to-client-based-machine-learning-a-comprehensive-survey-1909.08329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-server-based-to-client-based-machine-learning-a-comprehensive-survey-1909.08329"/></url>
<url><loc>https://scifaro.com/en/abs/a-hierarchical-two-tier-approach-to-hyper-parameter-optimization-in-reinforcement-learning-1909.08332</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hierarchical-two-tier-approach-to-hyper-parameter-optimization-in-reinforcement-learning-1909.08332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hierarchical-two-tier-approach-to-hyper-parameter-optimization-in-reinforcement-learning-1909.08332"/></url>
<url><loc>https://scifaro.com/en/abs/advancing-subgroup-fairness-via-sleeping-experts-1909.08375</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advancing-subgroup-fairness-via-sleeping-experts-1909.08375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advancing-subgroup-fairness-via-sleeping-experts-1909.08375"/></url>
<url><loc>https://scifaro.com/en/abs/laplacian-matrix-for-dimensionality-reduction-and-clustering-1909.08381</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/laplacian-matrix-for-dimensionality-reduction-and-clustering-1909.08381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/laplacian-matrix-for-dimensionality-reduction-and-clustering-1909.08381"/></url>
<url><loc>https://scifaro.com/en/abs/learnability-can-be-independent-of-zfc-axioms-explanations-and-implications-1909.08410</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learnability-can-be-independent-of-zfc-axioms-explanations-and-implications-1909.08410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learnability-can-be-independent-of-zfc-axioms-explanations-and-implications-1909.08410"/></url>
<url><loc>https://scifaro.com/en/abs/persistence-b-spline-grids-stable-vector-representation-of-persistence-diagrams-based-on-data-fitting-1909.08417</loc><lastmod>2022-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/persistence-b-spline-grids-stable-vector-representation-of-persistence-diagrams-based-on-data-fitting-1909.08417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/persistence-b-spline-grids-stable-vector-representation-of-persistence-diagrams-based-on-data-fitting-1909.08417"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-bit-slice-sparsity-in-deep-neural-networks-for-efficient-reram-based-deployment-1909.08496</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-bit-slice-sparsity-in-deep-neural-networks-for-efficient-reram-based-deployment-1909.08496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-bit-slice-sparsity-in-deep-neural-networks-for-efficient-reram-based-deployment-1909.08496"/></url>
<url><loc>https://scifaro.com/en/abs/bias-in-bias-out-evaluating-the-folk-wisdom-1909.08518</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-in-bias-out-evaluating-the-folk-wisdom-1909.08518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-in-bias-out-evaluating-the-folk-wisdom-1909.08518"/></url>
<url><loc>https://scifaro.com/en/abs/measure-contribution-of-participants-in-federated-learning-1909.08525</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measure-contribution-of-participants-in-federated-learning-1909.08525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measure-contribution-of-participants-in-federated-learning-1909.08525"/></url>
<url><loc>https://scifaro.com/en/abs/k-relevance-vectors-considering-relevancy-beside-nearness-1909.08528</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-relevance-vectors-considering-relevancy-beside-nearness-1909.08528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-relevance-vectors-considering-relevancy-beside-nearness-1909.08528"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-with-dynamic-distribution-adaptation-1909.08531</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-with-dynamic-distribution-adaptation-1909.08531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-with-dynamic-distribution-adaptation-1909.08531"/></url>
<url><loc>https://scifaro.com/en/abs/no-regret-learning-in-unknown-games-with-correlated-payoffs-1909.08540</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-regret-learning-in-unknown-games-with-correlated-payoffs-1909.08540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-regret-learning-in-unknown-games-with-correlated-payoffs-1909.08540"/></url>
<url><loc>https://scifaro.com/en/abs/distance-geometry-and-data-science-1909.08544</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-geometry-and-data-science-1909.08544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-geometry-and-data-science-1909.08544"/></url>
<url><loc>https://scifaro.com/en/abs/learning-discrepancy-models-from-experimental-data-1909.08574</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-discrepancy-models-from-experimental-data-1909.08574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-discrepancy-models-from-experimental-data-1909.08574"/></url>
<url><loc>https://scifaro.com/en/abs/deep-model-reference-adaptive-control-1909.08602</loc><lastmod>2019-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-model-reference-adaptive-control-1909.08602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-model-reference-adaptive-control-1909.08602"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-policy-gradient-methods-with-recursive-variance-reduction-1909.08610</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-policy-gradient-methods-with-recursive-variance-reduction-1909.08610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-policy-gradient-methods-with-recursive-variance-reduction-1909.08610"/></url>
<url><loc>https://scifaro.com/en/abs/automobile-theft-detection-by-clustering-owner-driver-data-1909.08929</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automobile-theft-detection-by-clustering-owner-driver-data-1909.08929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automobile-theft-detection-by-clustering-owner-driver-data-1909.08929"/></url>
<url><loc>https://scifaro.com/en/abs/using-latent-codes-for-class-imbalance-problem-in-unsupervised-domain-adaptation-1909.08962</loc><lastmod>2019-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-latent-codes-for-class-imbalance-problem-in-unsupervised-domain-adaptation-1909.08962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-latent-codes-for-class-imbalance-problem-in-unsupervised-domain-adaptation-1909.08962"/></url>
<url><loc>https://scifaro.com/en/abs/impact-of-novel-aggregation-methods-for-flexible-time-sensitive-ehr-prediction-without-variable-selection-or-cleaning-1909.08981</loc><lastmod>2019-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impact-of-novel-aggregation-methods-for-flexible-time-sensitive-ehr-prediction-without-variable-selection-or-cleaning-1909.08981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impact-of-novel-aggregation-methods-for-flexible-time-sensitive-ehr-prediction-without-variable-selection-or-cleaning-1909.08981"/></url>
<url><loc>https://scifaro.com/en/abs/adafair-cumulative-fairness-adaptive-boosting-1909.08982</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adafair-cumulative-fairness-adaptive-boosting-1909.08982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adafair-cumulative-fairness-adaptive-boosting-1909.08982"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-deep-unsupervised-clustering-with-concrete-gmvaes-1909.08994</loc><lastmod>2019-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-deep-unsupervised-clustering-with-concrete-gmvaes-1909.08994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-deep-unsupervised-clustering-with-concrete-gmvaes-1909.08994"/></url>
<url><loc>https://scifaro.com/en/abs/voting-with-random-classifiers-vorace-theoretical-and-experimental-analysis-1909.08996</loc><lastmod>2022-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/voting-with-random-classifiers-vorace-theoretical-and-experimental-analysis-1909.08996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/voting-with-random-classifiers-vorace-theoretical-and-experimental-analysis-1909.08996"/></url>
<url><loc>https://scifaro.com/en/abs/induction-of-non-monotonic-logic-programs-to-explain-statistical-learning-models-1909.09017</loc><lastmod>2019-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/induction-of-non-monotonic-logic-programs-to-explain-statistical-learning-models-1909.09017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/induction-of-non-monotonic-logic-programs-to-explain-statistical-learning-models-1909.09017"/></url>
<url><loc>https://scifaro.com/en/abs/corporate-it-support-help-desk-process-hybrid-automation-solution-with-machine-learning-approach-1909.09018</loc><lastmod>2019-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/corporate-it-support-help-desk-process-hybrid-automation-solution-with-machine-learning-approach-1909.09018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/corporate-it-support-help-desk-process-hybrid-automation-solution-with-machine-learning-approach-1909.09018"/></url>
<url><loc>https://scifaro.com/en/abs/training-robust-deep-neural-networks-via-adversarial-noise-propagation-1909.09034</loc><lastmod>2020-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-robust-deep-neural-networks-via-adversarial-noise-propagation-1909.09034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-robust-deep-neural-networks-via-adversarial-noise-propagation-1909.09034"/></url>
<url><loc>https://scifaro.com/en/abs/towards-explainable-neural-symbolic-visual-reasoning-1909.09065</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-explainable-neural-symbolic-visual-reasoning-1909.09065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-explainable-neural-symbolic-visual-reasoning-1909.09065"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-new-understanding-of-the-training-of-neural-networks-with-mislabeled-training-data-1909.09136</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-new-understanding-of-the-training-of-neural-networks-with-mislabeled-training-data-1909.09136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-new-understanding-of-the-training-of-neural-networks-with-mislabeled-training-data-1909.09136"/></url>
<url><loc>https://scifaro.com/en/abs/how-does-batch-normalization-help-binary-training-1909.09139</loc><lastmod>2020-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-does-batch-normalization-help-binary-training-1909.09139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-does-batch-normalization-help-binary-training-1909.09139"/></url>
<url><loc>https://scifaro.com/en/abs/meta-neighborhoods-1909.09140</loc><lastmod>2020-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-neighborhoods-1909.09140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-neighborhoods-1909.09140"/></url>
<url><loc>https://scifaro.com/en/abs/causal-modeling-for-fairness-in-dynamical-systems-1909.09141</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-modeling-for-fairness-in-dynamical-systems-1909.09141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-modeling-for-fairness-in-dynamical-systems-1909.09141"/></url>
<url><loc>https://scifaro.com/en/abs/using-quantifier-elimination-to-enhance-the-safety-assurance-of-deep-neural-networks-1909.09142</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-quantifier-elimination-to-enhance-the-safety-assurance-of-deep-neural-networks-1909.09142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-quantifier-elimination-to-enhance-the-safety-assurance-of-deep-neural-networks-1909.09142"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-user-engagement-signals-for-entity-labeling-in-a-virtual-assistant-1909.09143</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-user-engagement-signals-for-entity-labeling-in-a-virtual-assistant-1909.09143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-user-engagement-signals-for-entity-labeling-in-a-virtual-assistant-1909.09143"/></url>
<url><loc>https://scifaro.com/en/abs/using-recurrent-neural-networks-for-nonlinear-component-computation-in-advection-dominated-reduced-order-models-1909.09144</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-recurrent-neural-networks-for-nonlinear-component-computation-in-advection-dominated-reduced-order-models-1909.09144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-recurrent-neural-networks-for-nonlinear-component-computation-in-advection-dominated-reduced-order-models-1909.09144"/></url>
<url><loc>https://scifaro.com/en/abs/detailed-comparison-of-communication-efficiency-of-split-learning-and-federated-learning-1909.09145</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detailed-comparison-of-communication-efficiency-of-split-learning-and-federated-learning-1909.09145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detailed-comparison-of-communication-efficiency-of-split-learning-and-federated-learning-1909.09145"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-linear-bandits-for-non-stationary-environments-1909.09146</loc><lastmod>2020-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-linear-bandits-for-non-stationary-environments-1909.09146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-linear-bandits-for-non-stationary-environments-1909.09146"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-regression-and-classification-with-sparse-gaussian-processes-1909.09147</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-regression-and-classification-with-sparse-gaussian-processes-1909.09147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-regression-and-classification-with-sparse-gaussian-processes-1909.09147"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-revisited-rethinking-the-distribution-gap-between-clean-and-augmented-data-1909.09148</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-revisited-rethinking-the-distribution-gap-between-clean-and-augmented-data-1909.09148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-revisited-rethinking-the-distribution-gap-between-clean-and-augmented-data-1909.09148"/></url>
<url><loc>https://scifaro.com/en/abs/timage-a-robust-time-series-classification-pipeline-1909.09149</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/timage-a-robust-time-series-classification-pipeline-1909.09149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/timage-a-robust-time-series-classification-pipeline-1909.09149"/></url>
<url><loc>https://scifaro.com/en/abs/density-encoding-enables-resource-efficient-randomly-connected-neural-networks-1909.09153</loc><lastmod>2022-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-encoding-enables-resource-efficient-randomly-connected-neural-networks-1909.09153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-encoding-enables-resource-efficient-randomly-connected-neural-networks-1909.09153"/></url>
<url><loc>https://scifaro.com/en/abs/deepview-visualizing-classification-boundaries-of-deep-neural-networks-as-scatter-plots-using-discriminative-dimensionality-reduction-1909.09154</loc><lastmod>2020-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepview-visualizing-classification-boundaries-of-deep-neural-networks-as-scatter-plots-using-discriminative-dimensionality-reduction-1909.09154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepview-visualizing-classification-boundaries-of-deep-neural-networks-as-scatter-plots-using-discriminative-dimensionality-reduction-1909.09154"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-conceal-a-deep-learning-based-method-for-preserving-privacy-and-avoiding-prejudice-1909.09156</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-conceal-a-deep-learning-based-method-for-preserving-privacy-and-avoiding-prejudice-1909.09156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-conceal-a-deep-learning-based-method-for-preserving-privacy-and-avoiding-prejudice-1909.09156"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-learning-or-feature-reuse-towards-understanding-the-effectiveness-of-maml-1909.09157</loc><lastmod>2020-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-learning-or-feature-reuse-towards-understanding-the-effectiveness-of-maml-1909.09157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-learning-or-feature-reuse-towards-understanding-the-effectiveness-of-maml-1909.09157"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-multiview-analysis-identifiability-and-neural-network-assisted-implementation-1909.09177</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-multiview-analysis-identifiability-and-neural-network-assisted-implementation-1909.09177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-multiview-analysis-identifiability-and-neural-network-assisted-implementation-1909.09177"/></url>
<url><loc>https://scifaro.com/en/abs/revisit-policy-optimization-in-matrix-form-1909.09186</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisit-policy-optimization-in-matrix-form-1909.09186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisit-policy-optimization-in-matrix-form-1909.09186"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-mixture-of-experts-for-visual-question-answering-1909.09192</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-mixture-of-experts-for-visual-question-answering-1909.09192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-mixture-of-experts-for-visual-question-answering-1909.09192"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-discriminative-dimensionality-reduction-and-feature-selection-on-the-manifold-1909.09218</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-discriminative-dimensionality-reduction-and-feature-selection-on-the-manifold-1909.09218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-discriminative-dimensionality-reduction-and-feature-selection-on-the-manifold-1909.09218"/></url>
<url><loc>https://scifaro.com/en/abs/interpretml-a-unified-framework-for-machine-learning-interpretability-1909.09223</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretml-a-unified-framework-for-machine-learning-interpretability-1909.09223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretml-a-unified-framework-for-machine-learning-interpretability-1909.09223"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-clinical-predictive-analytics-1909.09246</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-clinical-predictive-analytics-1909.09246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-clinical-predictive-analytics-1909.09246"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-for-electronic-health-records-1909.09248</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-for-electronic-health-records-1909.09248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-for-electronic-health-records-1909.09248"/></url>
<url><loc>https://scifaro.com/en/abs/hyperlearn-a-distributed-approach-for-representation-learning-in-datasets-with-many-modalities-1909.09252</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperlearn-a-distributed-approach-for-representation-learning-in-datasets-with-many-modalities-1909.09252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperlearn-a-distributed-approach-for-representation-learning-in-datasets-with-many-modalities-1909.09252"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-sources-of-uncertainty-to-proxy-calibration-and-disambiguate-annotator-and-data-bias-1909.09285</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-sources-of-uncertainty-to-proxy-calibration-and-disambiguate-annotator-and-data-bias-1909.09285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-sources-of-uncertainty-to-proxy-calibration-and-disambiguate-annotator-and-data-bias-1909.09285"/></url>
<url><loc>https://scifaro.com/en/abs/meta-inverse-reinforcement-learning-with-probabilistic-context-variables-1909.09314</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-inverse-reinforcement-learning-with-probabilistic-context-variables-1909.09314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-inverse-reinforcement-learning-with-probabilistic-context-variables-1909.09314"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-yet-effective-baseline-for-robust-deep-learning-with-noisy-labels-1909.09338</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-yet-effective-baseline-for-robust-deep-learning-with-noisy-labels-1909.09338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-yet-effective-baseline-for-robust-deep-learning-with-noisy-labels-1909.09338"/></url>
<url><loc>https://scifaro.com/en/abs/face-feasible-and-actionable-counterfactual-explanations-1909.09369</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/face-feasible-and-actionable-counterfactual-explanations-1909.09369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/face-feasible-and-actionable-counterfactual-explanations-1909.09369"/></url>
<url><loc>https://scifaro.com/en/abs/deep-metric-learning-using-similarities-from-nonlinear-rank-approximations-1909.09427</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-metric-learning-using-similarities-from-nonlinear-rank-approximations-1909.09427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-metric-learning-using-similarities-from-nonlinear-rank-approximations-1909.09427"/></url>
<url><loc>https://scifaro.com/en/abs/genetic-neural-architecture-search-for-automatic-assessment-of-human-sperm-images-1909.09432</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/genetic-neural-architecture-search-for-automatic-assessment-of-human-sperm-images-1909.09432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/genetic-neural-architecture-search-for-automatic-assessment-of-human-sperm-images-1909.09432"/></url>
<url><loc>https://scifaro.com/en/abs/codesearchnet-challenge-evaluating-the-state-of-semantic-code-search-1909.09436</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/codesearchnet-challenge-evaluating-the-state-of-semantic-code-search-1909.09436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/codesearchnet-challenge-evaluating-the-state-of-semantic-code-search-1909.09436"/></url>
<url><loc>https://scifaro.com/en/abs/from-feature-selection-to-continuous-optimization-1909.09444</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-feature-selection-to-continuous-optimization-1909.09444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-feature-selection-to-continuous-optimization-1909.09444"/></url>
<url><loc>https://scifaro.com/en/abs/on-recovering-latent-factors-from-sampling-and-firing-graph-1909.09493</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-recovering-latent-factors-from-sampling-and-firing-graph-1909.09493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-recovering-latent-factors-from-sampling-and-firing-graph-1909.09493"/></url>
<url><loc>https://scifaro.com/en/abs/trivializations-for-gradient-based-optimization-on-manifolds-1909.09501</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trivializations-for-gradient-based-optimization-on-manifolds-1909.09501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trivializations-for-gradient-based-optimization-on-manifolds-1909.09501"/></url>
<url><loc>https://scifaro.com/en/abs/redirection-controller-using-reinforcement-learning-1909.09505</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/redirection-controller-using-reinforcement-learning-1909.09505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/redirection-controller-using-reinforcement-learning-1909.09505"/></url>
<url><loc>https://scifaro.com/en/abs/reconnaissance-and-planning-algorithm-for-constrained-mdp-1909.09540</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconnaissance-and-planning-algorithm-for-constrained-mdp-1909.09540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconnaissance-and-planning-algorithm-for-constrained-mdp-1909.09540"/></url>
<url><loc>https://scifaro.com/en/abs/defending-against-physically-realizable-attacks-on-image-classification-1909.09552</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defending-against-physically-realizable-attacks-on-image-classification-1909.09552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defending-against-physically-realizable-attacks-on-image-classification-1909.09552"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-boost-with-convolution-neural-network-for-stock-forecast-1909.09563</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-boost-with-convolution-neural-network-for-stock-forecast-1909.09563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-boost-with-convolution-neural-network-for-stock-forecast-1909.09563"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-architectures-learnt-by-cell-based-neural-architecture-search-1909.09569</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-architectures-learnt-by-cell-based-neural-architecture-search-1909.09569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-architectures-learnt-by-cell-based-neural-architecture-search-1909.09569"/></url>
<url><loc>https://scifaro.com/en/abs/nemo-a-toolkit-for-building-ai-applications-using-neural-modules-1909.09577</loc><lastmod>2019-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nemo-a-toolkit-for-building-ai-applications-using-neural-modules-1909.09577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nemo-a-toolkit-for-building-ai-applications-using-neural-modules-1909.09577"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-for-iterative-learning-1909.09593</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-for-iterative-learning-1909.09593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-for-iterative-learning-1909.09593"/></url>
<url><loc>https://scifaro.com/en/abs/accident-risk-prediction-based-on-heterogeneous-sparse-data-new-dataset-and-insights-1909.09638</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accident-risk-prediction-based-on-heterogeneous-sparse-data-new-dataset-and-insights-1909.09638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accident-risk-prediction-based-on-heterogeneous-sparse-data-new-dataset-and-insights-1909.09638"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-robustifying-differentiable-architecture-search-1909.09656</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-robustifying-differentiable-architecture-search-1909.09656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-robustifying-differentiable-architecture-search-1909.09656"/></url>
<url><loc>https://scifaro.com/en/abs/online-hierarchical-clustering-approximations-1909.09667</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-hierarchical-clustering-approximations-1909.09667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-hierarchical-clustering-approximations-1909.09667"/></url>
<url><loc>https://scifaro.com/en/abs/a-layered-architecture-for-active-perception-image-classification-using-deep-reinforcement-learning-1909.09705</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-layered-architecture-for-active-perception-image-classification-using-deep-reinforcement-learning-1909.09705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-layered-architecture-for-active-perception-image-classification-using-deep-reinforcement-learning-1909.09705"/></url>
<url><loc>https://scifaro.com/en/abs/do-compressed-representations-generalize-better-1909.09706</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-compressed-representations-generalize-better-1909.09706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-compressed-representations-generalize-better-1909.09706"/></url>
<url><loc>https://scifaro.com/en/abs/learning-an-adaptive-learning-rate-schedule-1909.09712</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-an-adaptive-learning-rate-schedule-1909.09712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-an-adaptive-learning-rate-schedule-1909.09712"/></url>
<url><loc>https://scifaro.com/en/abs/scale-mlperf-0-6-models-on-google-tpu-v3-pods-1909.09756</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scale-mlperf-0-6-models-on-google-tpu-v3-pods-1909.09756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scale-mlperf-0-6-models-on-google-tpu-v3-pods-1909.09756"/></url>
<url><loc>https://scifaro.com/en/abs/positive-unlabeled-compression-on-the-cloud-1909.09757</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/positive-unlabeled-compression-on-the-cloud-1909.09757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/positive-unlabeled-compression-on-the-cloud-1909.09757"/></url>
<url><loc>https://scifaro.com/en/abs/using-theoretical-roc-curves-for-analysing-machine-learning-binary-classifiers-1909.09816</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-theoretical-roc-curves-for-analysing-machine-learning-binary-classifiers-1909.09816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-theoretical-roc-curves-for-analysing-machine-learning-binary-classifiers-1909.09816"/></url>
<url><loc>https://scifaro.com/en/abs/an-investigation-of-quantum-deep-clustering-framework-with-quantum-deep-svm-convolutional-neural-network-feature-extractor-1909.09852</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-investigation-of-quantum-deep-clustering-framework-with-quantum-deep-svm-convolutional-neural-network-feature-extractor-1909.09852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-investigation-of-quantum-deep-clustering-framework-with-quantum-deep-svm-convolutional-neural-network-feature-extractor-1909.09852"/></url>
<url><loc>https://scifaro.com/en/abs/single-class-universum-svm-1909.09862</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-class-universum-svm-1909.09862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-class-universum-svm-1909.09862"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-importance-of-delexicalization-for-fact-verification-1909.09868</loc><lastmod>2020-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-importance-of-delexicalization-for-fact-verification-1909.09868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-importance-of-delexicalization-for-fact-verification-1909.09868"/></url>
<url><loc>https://scifaro.com/en/abs/deep-message-passing-on-sets-1909.09877</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-message-passing-on-sets-1909.09877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-message-passing-on-sets-1909.09877"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-with-statistical-guarantees-in-end-to-end-autonomous-driving-control-1909.09884</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-with-statistical-guarantees-in-end-to-end-autonomous-driving-control-1909.09884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-with-statistical-guarantees-in-end-to-end-autonomous-driving-control-1909.09884"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-with-modulated-hebbian-plus-q-network-architecture-1909.09902</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-modulated-hebbian-plus-q-network-architecture-1909.09902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-modulated-hebbian-plus-q-network-architecture-1909.09902"/></url>
<url><loc>https://scifaro.com/en/abs/maltese-large-scale-simulation-driven-machine-learning-for-transient-driving-cycles-1909.09929</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maltese-large-scale-simulation-driven-machine-learning-for-transient-driving-cycles-1909.09929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maltese-large-scale-simulation-driven-machine-learning-for-transient-driving-cycles-1909.09929"/></url>
<url><loc>https://scifaro.com/en/abs/hawkeye-adversarial-example-detector-for-deep-neural-networks-1909.09938</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hawkeye-adversarial-example-detector-for-deep-neural-networks-1909.09938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hawkeye-adversarial-example-detector-for-deep-neural-networks-1909.09938"/></url>
<url><loc>https://scifaro.com/en/abs/classification-in-asymmetric-spaces-via-sample-compression-1909.09969</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-in-asymmetric-spaces-via-sample-compression-1909.09969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-in-asymmetric-spaces-via-sample-compression-1909.09969"/></url>
<url><loc>https://scifaro.com/en/abs/loganv2-conditional-style-based-logo-generation-with-generative-adversarial-networks-1909.09974</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loganv2-conditional-style-based-logo-generation-with-generative-adversarial-networks-1909.09974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loganv2-conditional-style-based-logo-generation-with-generative-adversarial-networks-1909.09974"/></url>
<url><loc>https://scifaro.com/en/abs/minimal-learning-machine-theoretical-results-and-clustering-based-reference-point-selection-1909.09978</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimal-learning-machine-theoretical-results-and-clustering-based-reference-point-selection-1909.09978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimal-learning-machine-theoretical-results-and-clustering-based-reference-point-selection-1909.09978"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-and-catastrophic-forgetting-in-continual-reinforcement-learning-1909.10008</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-and-catastrophic-forgetting-in-continual-reinforcement-learning-1909.10008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-and-catastrophic-forgetting-in-continual-reinforcement-learning-1909.10008"/></url>
<url><loc>https://scifaro.com/en/abs/towards-interpreting-recurrent-neural-networks-through-probabilistic-abstraction-1909.10023</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-interpreting-recurrent-neural-networks-through-probabilistic-abstraction-1909.10023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-interpreting-recurrent-neural-networks-through-probabilistic-abstraction-1909.10023"/></url>
<url><loc>https://scifaro.com/en/abs/learning-universal-graph-neural-network-embeddings-with-aid-of-transfer-learning-1909.10086</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-universal-graph-neural-network-embeddings-with-aid-of-transfer-learning-1909.10086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-universal-graph-neural-network-embeddings-with-aid-of-transfer-learning-1909.10086"/></url>
<url><loc>https://scifaro.com/en/abs/verified-uncertainty-calibration-1909.10155</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/verified-uncertainty-calibration-1909.10155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/verified-uncertainty-calibration-1909.10155"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-temporal-graph-convolutional-networks-make-the-community-detection-much-better-1909.10248</loc><lastmod>2020-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-temporal-graph-convolutional-networks-make-the-community-detection-much-better-1909.10248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-temporal-graph-convolutional-networks-make-the-community-detection-much-better-1909.10248"/></url>
<url><loc>https://scifaro.com/en/abs/class-dependent-compression-of-deep-neural-networks-1909.10364</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-dependent-compression-of-deep-neural-networks-1909.10364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-dependent-compression-of-deep-neural-networks-1909.10364"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-kernel-learning-via-the-discriminant-information-1909.10432</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-kernel-learning-via-the-discriminant-information-1909.10432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-kernel-learning-via-the-discriminant-information-1909.10432"/></url>
<url><loc>https://scifaro.com/en/abs/on-model-stability-as-a-function-of-random-seed-1909.10447</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-model-stability-as-a-function-of-random-seed-1909.10447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-model-stability-as-a-function-of-random-seed-1909.10447"/></url>
<url><loc>https://scifaro.com/en/abs/pac-reinforcement-learning-without-real-world-feedback-1909.10449</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-reinforcement-learning-without-real-world-feedback-1909.10449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-reinforcement-learning-without-real-world-feedback-1909.10449"/></url>
<url><loc>https://scifaro.com/en/abs/model-agnostic-linear-competitors-when-interpretable-models-compete-and-collaborate-with-black-box-models-1909.10467</loc><lastmod>2019-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-agnostic-linear-competitors-when-interpretable-models-compete-and-collaborate-with-black-box-models-1909.10467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-agnostic-linear-competitors-when-interpretable-models-compete-and-collaborate-with-black-box-models-1909.10467"/></url>
<url><loc>https://scifaro.com/en/abs/improving-generative-visual-dialog-by-answering-diverse-questions-1909.10470</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-generative-visual-dialog-by-answering-diverse-questions-1909.10470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-generative-visual-dialog-by-answering-diverse-questions-1909.10470"/></url>
<url><loc>https://scifaro.com/en/abs/loaded-dice-trading-off-bias-and-variance-in-any-order-score-function-estimators-for-reinforcement-learning-1909.10549</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loaded-dice-trading-off-bias-and-variance-in-any-order-score-function-estimators-for-reinforcement-learning-1909.10549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loaded-dice-trading-off-bias-and-variance-in-any-order-score-function-estimators-for-reinforcement-learning-1909.10549"/></url>
<url><loc>https://scifaro.com/en/abs/ai-matrix-a-deep-learning-benchmark-for-alibaba-data-centers-1909.10562</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ai-matrix-a-deep-learning-benchmark-for-alibaba-data-centers-1909.10562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ai-matrix-a-deep-learning-benchmark-for-alibaba-data-centers-1909.10562"/></url>
<url><loc>https://scifaro.com/en/abs/compiler-level-matrix-multiplication-optimization-for-deep-learning-1909.10616</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compiler-level-matrix-multiplication-optimization-for-deep-learning-1909.10616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compiler-level-matrix-multiplication-optimization-for-deep-learning-1909.10616"/></url>
<url><loc>https://scifaro.com/en/abs/why-does-hierarchy-sometimes-work-so-well-in-reinforcement-learning-1909.10618</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-does-hierarchy-sometimes-work-so-well-in-reinforcement-learning-1909.10618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-does-hierarchy-sometimes-work-so-well-in-reinforcement-learning-1909.10618"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-independent-and-centralized-multi-agent-reinforcement-learning-for-traffic-signal-network-optimization-1909.10651</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-independent-and-centralized-multi-agent-reinforcement-learning-for-traffic-signal-network-optimization-1909.10651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-independent-and-centralized-multi-agent-reinforcement-learning-for-traffic-signal-network-optimization-1909.10651"/></url>
<url><loc>https://scifaro.com/en/abs/generating-geological-facies-models-with-fidelity-to-diversity-and-statistics-of-training-images-using-improved-generative-adversarial-networks-1909.10652</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-geological-facies-models-with-fidelity-to-diversity-and-statistics-of-training-images-using-improved-generative-adversarial-networks-1909.10652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-geological-facies-models-with-fidelity-to-diversity-and-statistics-of-training-images-using-improved-generative-adversarial-networks-1909.10652"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-graph-neural-networks-for-stock-market-predictions-with-rolling-window-analysis-1909.10660</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-graph-neural-networks-for-stock-market-predictions-with-rolling-window-analysis-1909.10660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-graph-neural-networks-for-stock-market-predictions-with-rolling-window-analysis-1909.10660"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-incorporate-monotonicity-in-deep-networks-while-preserving-flexibility-1909.10662</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-incorporate-monotonicity-in-deep-networks-while-preserving-flexibility-1909.10662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-incorporate-monotonicity-in-deep-networks-while-preserving-flexibility-1909.10662"/></url>
<url><loc>https://scifaro.com/en/abs/subsampling-generative-adversarial-networks-density-ratio-estimation-in-feature-space-with-softplus-loss-1909.10670</loc><lastmod>2020-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subsampling-generative-adversarial-networks-density-ratio-estimation-in-feature-space-with-softplus-loss-1909.10670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subsampling-generative-adversarial-networks-density-ratio-estimation-in-feature-space-with-softplus-loss-1909.10670"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-estimation-using-autoencoders-1909.10702</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-estimation-using-autoencoders-1909.10702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-estimation-using-autoencoders-1909.10702"/></url>
<url><loc>https://scifaro.com/en/abs/sign-opt-a-query-efficient-hard-label-adversarial-attack-1909.10773</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sign-opt-a-query-efficient-hard-label-adversarial-attack-1909.10773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sign-opt-a-query-efficient-hard-label-adversarial-attack-1909.10773"/></url>
<url><loc>https://scifaro.com/en/abs/jointly-learning-to-detect-emotions-and-predict-facebook-reactions-1909.10779</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jointly-learning-to-detect-emotions-and-predict-facebook-reactions-1909.10779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jointly-learning-to-detect-emotions-and-predict-facebook-reactions-1909.10779"/></url>
<url><loc>https://scifaro.com/en/abs/wattnet-learning-to-trade-fx-via-hierarchical-spatio-temporal-representation-of-highly-multivariate-time-series-1909.10801</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wattnet-learning-to-trade-fx-via-hierarchical-spatio-temporal-representation-of-highly-multivariate-time-series-1909.10801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wattnet-learning-to-trade-fx-via-hierarchical-spatio-temporal-representation-of-highly-multivariate-time-series-1909.10801"/></url>
<url><loc>https://scifaro.com/en/abs/gap-aware-mitigation-of-gradient-staleness-1909.10802</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gap-aware-mitigation-of-gradient-staleness-1909.10802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gap-aware-mitigation-of-gradient-staleness-1909.10802"/></url>
<url><loc>https://scifaro.com/en/abs/balanced-one-shot-neural-architecture-optimization-1909.10815</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balanced-one-shot-neural-architecture-optimization-1909.10815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balanced-one-shot-neural-architecture-optimization-1909.10815"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-deep-neural-network-architecture-search-for-iot-devices-accounting-hardware-calibration-1909.10818</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-deep-neural-network-architecture-search-for-iot-devices-accounting-hardware-calibration-1909.10818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-deep-neural-network-architecture-search-for-iot-devices-accounting-hardware-calibration-1909.10818"/></url>
<url><loc>https://scifaro.com/en/abs/ifr-net-iterative-feature-refinement-network-for-compressed-sensing-mri-1909.10856</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ifr-net-iterative-feature-refinement-network-for-compressed-sensing-mri-1909.10856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ifr-net-iterative-feature-refinement-network-for-compressed-sensing-mri-1909.10856"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-independent-mechanisms-1909.10893</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-independent-mechanisms-1909.10893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-independent-mechanisms-1909.10893"/></url>
<url><loc>https://scifaro.com/en/abs/dautomap-decomposing-automap-to-achieve-scalability-and-enhance-performance-1909.10995</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dautomap-decomposing-automap-to-achieve-scalability-and-enhance-performance-1909.10995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dautomap-decomposing-automap-to-achieve-scalability-and-enhance-performance-1909.10995"/></url>
<url><loc>https://scifaro.com/en/abs/diffgrad-an-optimization-method-for-convolutional-neural-networks-1909.11015</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffgrad-an-optimization-method-for-convolutional-neural-networks-1909.11015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffgrad-an-optimization-method-for-convolutional-neural-networks-1909.11015"/></url>
<url><loc>https://scifaro.com/en/abs/reservoir-topology-in-deep-echo-state-networks-1909.11022</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reservoir-topology-in-deep-echo-state-networks-1909.11022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reservoir-topology-in-deep-echo-state-networks-1909.11022"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-network-based-method-to-solve-boundary-value-problems-1909.11082</loc><lastmod>2019-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-network-based-method-to-solve-boundary-value-problems-1909.11082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-network-based-method-to-solve-boundary-value-problems-1909.11082"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-classification-on-graphs-using-explicit-diffusion-dynamics-1909.11117</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-classification-on-graphs-using-explicit-diffusion-dynamics-1909.11117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-classification-on-graphs-using-explicit-diffusion-dynamics-1909.11117"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-vector-quantized-variational-autoencoder-for-learning-interpretable-global-representations-1909.11124</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-vector-quantized-variational-autoencoder-for-learning-interpretable-global-representations-1909.11124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-vector-quantized-variational-autoencoder-for-learning-interpretable-global-representations-1909.11124"/></url>
<url><loc>https://scifaro.com/en/abs/exascale-deep-learning-for-scientific-inverse-problems-1909.11150</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exascale-deep-learning-for-scientific-inverse-problems-1909.11150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exascale-deep-learning-for-scientific-inverse-problems-1909.11150"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-translation-equivariant-networks-with-decomposed-convolutional-filters-1909.11193</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-translation-equivariant-networks-with-decomposed-convolutional-filters-1909.11193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-translation-equivariant-networks-with-decomposed-convolutional-filters-1909.11193"/></url>
<url><loc>https://scifaro.com/en/abs/graph-partitioning-based-diffusion-convolutional-recurrent-neural-network-for-large-scale-traffic-forecasting-1909.11197</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-partitioning-based-diffusion-convolutional-recurrent-neural-network-for-large-scale-traffic-forecasting-1909.11197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-partitioning-based-diffusion-convolutional-recurrent-neural-network-for-large-scale-traffic-forecasting-1909.11197"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-sketching-for-secure-collaborative-machine-learning-1909.11201</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-sketching-for-secure-collaborative-machine-learning-1909.11201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-sketching-for-secure-collaborative-machine-learning-1909.11201"/></url>
<url><loc>https://scifaro.com/en/abs/avoidance-learning-using-observational-reinforcement-learning-1909.11228</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avoidance-learning-using-observational-reinforcement-learning-1909.11228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avoidance-learning-using-observational-reinforcement-learning-1909.11228"/></url>
<url><loc>https://scifaro.com/en/abs/sign-language-recognition-analysis-using-multimodal-data-1909.11232</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sign-language-recognition-analysis-using-multimodal-data-1909.11232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sign-language-recognition-analysis-using-multimodal-data-1909.11232"/></url>
<url><loc>https://scifaro.com/en/abs/teacher-student-learning-paradigm-for-tri-training-an-efficient-method-for-unlabeled-data-exploitation-1909.11233</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/teacher-student-learning-paradigm-for-tri-training-an-efficient-method-for-unlabeled-data-exploitation-1909.11233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/teacher-student-learning-paradigm-for-tri-training-an-efficient-method-for-unlabeled-data-exploitation-1909.11233"/></url>
<url><loc>https://scifaro.com/en/abs/when-to-intervene-detecting-abnormal-mood-using-everyday-smartphone-conversations-1909.11248</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-to-intervene-detecting-abnormal-mood-using-everyday-smartphone-conversations-1909.11248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-to-intervene-detecting-abnormal-mood-using-everyday-smartphone-conversations-1909.11248"/></url>
<url><loc>https://scifaro.com/en/abs/online-semi-supervised-concept-drift-detection-with-density-estimation-1909.11251</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-semi-supervised-concept-drift-detection-with-density-estimation-1909.11251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-semi-supervised-concept-drift-detection-with-density-estimation-1909.11251"/></url>
<url><loc>https://scifaro.com/en/abs/compression-based-bound-for-non-compressed-network-unified-generalization-error-analysis-of-large-compressible-deep-neural-network-1909.11274</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compression-based-bound-for-non-compressed-network-unified-generalization-error-analysis-of-large-compressible-deep-neural-network-1909.11274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compression-based-bound-for-non-compressed-network-unified-generalization-error-analysis-of-large-compressible-deep-neural-network-1909.11274"/></url>
<url><loc>https://scifaro.com/en/abs/switched-linear-projections-for-neural-network-interpretability-1909.11275</loc><lastmod>2020-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/switched-linear-projections-for-neural-network-interpretability-1909.11275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/switched-linear-projections-for-neural-network-interpretability-1909.11275"/></url>
<url><loc>https://scifaro.com/en/abs/a-dictionary-approach-to-domain-invariant-learning-in-deep-networks-1909.11285</loc><lastmod>2020-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dictionary-approach-to-domain-invariant-learning-in-deep-networks-1909.11285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dictionary-approach-to-domain-invariant-learning-in-deep-networks-1909.11285"/></url>
<url><loc>https://scifaro.com/en/abs/mixout-effective-regularization-to-finetune-large-scale-pretrained-language-models-1909.11299</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixout-effective-regularization-to-finetune-large-scale-pretrained-language-models-1909.11299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixout-effective-regularization-to-finetune-large-scale-pretrained-language-models-1909.11299"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotics-of-wide-networks-from-feynman-diagrams-1909.11304</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotics-of-wide-networks-from-feynman-diagrams-1909.11304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotics-of-wide-networks-from-feynman-diagrams-1909.11304"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-batch-reinforcement-learning-with-metric-learning-1909.11373</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-batch-reinforcement-learning-with-metric-learning-1909.11373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-batch-reinforcement-learning-with-metric-learning-1909.11373"/></url>
<url><loc>https://scifaro.com/en/abs/mining-human-mobility-data-to-discover-locations-and-habits-1909.11406</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-human-mobility-data-to-discover-locations-and-habits-1909.11406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-human-mobility-data-to-discover-locations-and-habits-1909.11406"/></url>
<url><loc>https://scifaro.com/en/abs/online-non-monotone-dr-submodular-maximization-1909.11426</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-non-monotone-dr-submodular-maximization-1909.11426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-non-monotone-dr-submodular-maximization-1909.11426"/></url>
<url><loc>https://scifaro.com/en/abs/decoder-choice-network-for-meta-learning-1909.11446</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoder-choice-network-for-meta-learning-1909.11446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoder-choice-network-for-meta-learning-1909.11446"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-model-for-sparse-graphs-using-text-based-learning-with-augmentation-in-generative-examination-networks-1909.11472</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-model-for-sparse-graphs-using-text-based-learning-with-augmentation-in-generative-examination-networks-1909.11472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-model-for-sparse-graphs-using-text-based-learning-with-augmentation-in-generative-examination-networks-1909.11472"/></url>
<url><loc>https://scifaro.com/en/abs/input-complexity-and-out-of-distribution-detection-with-likelihood-based-generative-models-1909.11480</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/input-complexity-and-out-of-distribution-detection-with-likelihood-based-generative-models-1909.11480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/input-complexity-and-out-of-distribution-detection-with-likelihood-based-generative-models-1909.11480"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-the-machine-to-share-or-not-to-share-1909.11483</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-the-machine-to-share-or-not-to-share-1909.11483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-the-machine-to-share-or-not-to-share-1909.11483"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-to-cluster-gaussian-mixture-variational-ladder-autoencoders-1909.11501</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-to-cluster-gaussian-mixture-variational-ladder-autoencoders-1909.11501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-to-cluster-gaussian-mixture-variational-ladder-autoencoders-1909.11501"/></url>
<url><loc>https://scifaro.com/en/abs/regularising-deep-networks-with-deep-generative-models-1909.11507</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularising-deep-networks-with-deep-generative-models-1909.11507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularising-deep-networks-with-deep-generative-models-1909.11507"/></url>
<url><loc>https://scifaro.com/en/abs/synthetic-data-for-deep-learning-1909.11512</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthetic-data-for-deep-learning-1909.11512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthetic-data-for-deep-learning-1909.11512"/></url>
<url><loc>https://scifaro.com/en/abs/mixup-inference-better-exploiting-mixup-to-defend-adversarial-attacks-1909.11515</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixup-inference-better-exploiting-mixup-to-defend-adversarial-attacks-1909.11515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixup-inference-better-exploiting-mixup-to-defend-adversarial-attacks-1909.11515"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-are-a-priori-biased-towards-boolean-functions-with-low-entropy-1909.11522</loc><lastmod>2022-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-are-a-priori-biased-towards-boolean-functions-with-low-entropy-1909.11522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-are-a-priori-biased-towards-boolean-functions-with-low-entropy-1909.11522"/></url>
<url><loc>https://scifaro.com/en/abs/a-self-consistent-field-iteration-for-orthogonal-canonical-correlation-analysis-1909.11527</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-self-consistent-field-iteration-for-orthogonal-canonical-correlation-analysis-1909.11527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-self-consistent-field-iteration-for-orthogonal-canonical-correlation-analysis-1909.11527"/></url>
<url><loc>https://scifaro.com/en/abs/cln2inv-learning-loop-invariants-with-continuous-logic-networks-1909.11542</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cln2inv-learning-loop-invariants-with-continuous-logic-networks-1909.11542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cln2inv-learning-loop-invariants-with-continuous-logic-networks-1909.11542"/></url>
<url><loc>https://scifaro.com/en/abs/pydens-a-python-framework-for-solving-differential-equations-with-neural-networks-1909.11544</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pydens-a-python-framework-for-solving-differential-equations-with-neural-networks-1909.11544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pydens-a-python-framework-for-solving-differential-equations-with-neural-networks-1909.11544"/></url>
<url><loc>https://scifaro.com/en/abs/pcmc-net-feature-based-pairwise-choice-markov-chains-1909.11553</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pcmc-net-feature-based-pairwise-choice-markov-chains-1909.11553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pcmc-net-feature-based-pairwise-choice-markov-chains-1909.11553"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-transformer-depth-on-demand-with-structured-dropout-1909.11556</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-transformer-depth-on-demand-with-structured-dropout-1909.11556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-transformer-depth-on-demand-with-structured-dropout-1909.11556"/></url>
<url><loc>https://scifaro.com/en/abs/wider-networks-learn-better-features-1909.11572</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wider-networks-learn-better-features-1909.11572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wider-networks-learn-better-features-1909.11572"/></url>
<url><loc>https://scifaro.com/en/abs/haar-graph-pooling-1909.11580</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/haar-graph-pooling-1909.11580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/haar-graph-pooling-1909.11580"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-actor-critic-with-shared-experience-replay-1909.11583</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-actor-critic-with-shared-experience-replay-1909.11583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-actor-critic-with-shared-experience-replay-1909.11583"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-reasoning-may-fail-in-certifying-boolean-unsatisfiability-1909.11588</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-reasoning-may-fail-in-certifying-boolean-unsatisfiability-1909.11588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-reasoning-may-fail-in-certifying-boolean-unsatisfiability-1909.11588"/></url>
<url><loc>https://scifaro.com/en/abs/modular-deep-reinforcement-learning-with-temporal-logic-specifications-1909.11591</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modular-deep-reinforcement-learning-with-temporal-logic-specifications-1909.11591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modular-deep-reinforcement-learning-with-temporal-logic-specifications-1909.11591"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-knowledge-graph-relation-representation-from-word-embeddings-1909.11611</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-knowledge-graph-relation-representation-from-word-embeddings-1909.11611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-knowledge-graph-relation-representation-from-word-embeddings-1909.11611"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-tropical-cyclone-rapid-intensification-with-satellite-images-and-attention-based-deep-models-1909.11616</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-tropical-cyclone-rapid-intensification-with-satellite-images-and-attention-based-deep-models-1909.11616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-tropical-cyclone-rapid-intensification-with-satellite-images-and-attention-based-deep-models-1909.11616"/></url>
<url><loc>https://scifaro.com/en/abs/the-dynamical-gaussian-process-latent-variable-model-in-the-longitudinal-scenario-1909.11630</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-dynamical-gaussian-process-latent-variable-model-in-the-longitudinal-scenario-1909.11630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-dynamical-gaussian-process-latent-variable-model-in-the-longitudinal-scenario-1909.11630"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-artificial-intelligence-techniques-for-project-conceptual-cost-prediction-1909.11637</loc><lastmod>2019-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-artificial-intelligence-techniques-for-project-conceptual-cost-prediction-1909.11637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-artificial-intelligence-techniques-for-project-conceptual-cost-prediction-1909.11637"/></url>
<url><loc>https://scifaro.com/en/abs/matching-embeddings-for-domain-adaptation-1909.11651</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matching-embeddings-for-domain-adaptation-1909.11651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matching-embeddings-for-domain-adaptation-1909.11651"/></url>
<url><loc>https://scifaro.com/en/abs/data-valuation-using-reinforcement-learning-1909.11671</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-valuation-using-reinforcement-learning-1909.11671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-valuation-using-reinforcement-learning-1909.11671"/></url>
<url><loc>https://scifaro.com/en/abs/graphmix-improved-training-of-gnns-for-semi-supervised-learning-1909.11715</loc><lastmod>2020-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphmix-improved-training-of-gnns-for-semi-supervised-learning-1909.11715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphmix-improved-training-of-gnns-for-semi-supervised-learning-1909.11715"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretical-analysis-of-the-number-of-shots-in-few-shot-learning-1909.11722</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-analysis-of-the-number-of-shots-in-few-shot-learning-1909.11722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-analysis-of-the-number-of-shots-in-few-shot-learning-1909.11722"/></url>
<url><loc>https://scifaro.com/en/abs/a-phase-shift-deep-neural-network-for-high-frequency-approximation-and-wave-problems-1909.11759</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-phase-shift-deep-neural-network-for-high-frequency-approximation-and-wave-problems-1909.11759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-phase-shift-deep-neural-network-for-high-frequency-approximation-and-wave-problems-1909.11759"/></url>
<url><loc>https://scifaro.com/en/abs/alcnn-attention-based-model-for-fine-grained-demand-inference-of-dock-less-shared-bike-in-new-cities-1909.11760</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alcnn-attention-based-model-for-fine-grained-demand-inference-of-dock-less-shared-bike-in-new-cities-1909.11760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alcnn-attention-based-model-for-fine-grained-demand-inference-of-dock-less-shared-bike-in-new-cities-1909.11760"/></url>
<url><loc>https://scifaro.com/en/abs/improved-schemes-for-episodic-memory-based-lifelong-learning-1909.11763</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-schemes-for-episodic-memory-based-lifelong-learning-1909.11763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-schemes-for-episodic-memory-based-lifelong-learning-1909.11763"/></url>
<url><loc>https://scifaro.com/en/abs/monet-debiasing-graph-embeddings-via-the-metadata-orthogonal-training-unit-1909.11793</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monet-debiasing-graph-embeddings-via-the-metadata-orthogonal-training-unit-1909.11793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monet-debiasing-graph-embeddings-via-the-metadata-orthogonal-training-unit-1909.11793"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-oblique-random-forests-towards-closing-the-gap-on-convolutional-deep-networks-1909.11799</loc><lastmod>2022-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-oblique-random-forests-towards-closing-the-gap-on-convolutional-deep-networks-1909.11799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-oblique-random-forests-towards-closing-the-gap-on-convolutional-deep-networks-1909.11799"/></url>
<url><loc>https://scifaro.com/en/abs/function-preserving-projection-for-scalable-exploration-of-high-dimensional-data-1909.11804</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/function-preserving-projection-for-scalable-exploration-of-high-dimensional-data-1909.11804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/function-preserving-projection-for-scalable-exploration-of-high-dimensional-data-1909.11804"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-dimension-embeddings-with-application-to-memory-efficient-recommendation-systems-1909.11810</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-dimension-embeddings-with-application-to-memory-efficient-recommendation-systems-1909.11810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-dimension-embeddings-with-application-to-memory-efficient-recommendation-systems-1909.11810"/></url>
<url><loc>https://scifaro.com/en/abs/lavae-disentangling-location-and-appearance-1909.11813</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lavae-disentangling-location-and-appearance-1909.11813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lavae-disentangling-location-and-appearance-1909.11813"/></url>
<url><loc>https://scifaro.com/en/abs/a-mean-field-theory-for-kernel-alignment-with-random-features-in-generative-and-discriminative-models-1909.11820</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mean-field-theory-for-kernel-alignment-with-random-features-in-generative-and-discriminative-models-1909.11820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mean-field-theory-for-kernel-alignment-with-random-features-in-generative-and-discriminative-models-1909.11820"/></url>
<url><loc>https://scifaro.com/en/abs/model-imitation-for-model-based-reinforcement-learning-1909.11821</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-imitation-for-model-based-reinforcement-learning-1909.11821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-imitation-for-model-based-reinforcement-learning-1909.11821"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-domain-adaptation-through-self-supervision-1909.11825</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-through-self-supervision-1909.11825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-through-self-supervision-1909.11825"/></url>
<url><loc>https://scifaro.com/en/abs/can-q-learning-with-graph-networks-learn-a-generalizable-branching-heuristic-for-a-sat-solver-1909.11830</loc><lastmod>2020-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-q-learning-with-graph-networks-learn-a-generalizable-branching-heuristic-for-a-sat-solver-1909.11830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-q-learning-with-graph-networks-learn-a-generalizable-branching-heuristic-for-a-sat-solver-1909.11830"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-deep-embedded-clustering-on-a-better-trade-off-between-feature-randomness-and-feature-drift-1909.11832</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-deep-embedded-clustering-on-a-better-trade-off-between-feature-randomness-and-feature-drift-1909.11832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-deep-embedded-clustering-on-a-better-trade-off-between-feature-randomness-and-feature-drift-1909.11832"/></url>
<url><loc>https://scifaro.com/en/abs/gamin-an-adversarial-approach-to-black-box-model-inversion-1909.11835</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gamin-an-adversarial-approach-to-black-box-model-inversion-1909.11835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gamin-an-adversarial-approach-to-black-box-model-inversion-1909.11835"/></url>
<url><loc>https://scifaro.com/en/abs/mildly-overparametrized-neural-nets-can-memorize-training-data-efficiently-1909.11837</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mildly-overparametrized-neural-nets-can-memorize-training-data-efficiently-1909.11837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mildly-overparametrized-neural-nets-can-memorize-training-data-efficiently-1909.11837"/></url>
<url><loc>https://scifaro.com/en/abs/mathematical-reasoning-in-latent-space-1909.11851</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mathematical-reasoning-in-latent-space-1909.11851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mathematical-reasoning-in-latent-space-1909.11851"/></url>
<url><loc>https://scifaro.com/en/abs/universal-graph-transformer-self-attention-networks-1909.11855</loc><lastmod>2022-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-graph-transformer-self-attention-networks-1909.11855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-graph-transformer-self-attention-networks-1909.11855"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-with-ordered-relation-paths-for-knowledge-graph-completion-1909.11864</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-with-ordered-relation-paths-for-knowledge-graph-completion-1909.11864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-with-ordered-relation-paths-for-knowledge-graph-completion-1909.11864"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-forecasting-using-deep-generative-models-1909.11865</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-forecasting-using-deep-generative-models-1909.11865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-forecasting-using-deep-generative-models-1909.11865"/></url>
<url><loc>https://scifaro.com/en/abs/rade-resource-efficient-supervised-anomaly-detection-using-decision-tree-based-ensemble-methods-1909.11877</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rade-resource-efficient-supervised-anomaly-detection-using-decision-tree-based-ensemble-methods-1909.11877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rade-resource-efficient-supervised-anomaly-detection-using-decision-tree-based-ensemble-methods-1909.11877"/></url>
<url><loc>https://scifaro.com/en/abs/two-time-scale-off-policy-td-learning-non-asymptotic-analysis-over-markovian-samples-1909.11907</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-time-scale-off-policy-td-learning-non-asymptotic-analysis-over-markovian-samples-1909.11907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-time-scale-off-policy-td-learning-non-asymptotic-analysis-over-markovian-samples-1909.11907"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-neural-architecture-search-via-operator-clustering-1909.11926</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-neural-architecture-search-via-operator-clustering-1909.11926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-neural-architecture-search-via-operator-clustering-1909.11926"/></url>
<url><loc>https://scifaro.com/en/abs/merl-multi-head-reinforcement-learning-1909.11939</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/merl-multi-head-reinforcement-learning-1909.11939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/merl-multi-head-reinforcement-learning-1909.11939"/></url>
<url><loc>https://scifaro.com/en/abs/hyperspectral-image-classification-with-context-aware-dynamic-graph-convolutional-network-1909.11953</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperspectral-image-classification-with-context-aware-dynamic-graph-convolutional-network-1909.11953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperspectral-image-classification-with-context-aware-dynamic-graph-convolutional-network-1909.11953"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-deep-learning-for-augmentation-of-srna-expression-profiles-1909.11956</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-deep-learning-for-augmentation-of-srna-expression-profiles-1909.11956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-deep-learning-for-augmentation-of-srna-expression-profiles-1909.11956"/></url>
<url><loc>https://scifaro.com/en/abs/drawing-early-bird-tickets-towards-more-efficient-training-of-deep-networks-1909.11957</loc><lastmod>2025-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drawing-early-bird-tickets-towards-more-efficient-training-of-deep-networks-1909.11957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drawing-early-bird-tickets-towards-more-efficient-training-of-deep-networks-1909.11957"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-weight-matrix-based-regularization-methods-for-deep-neural-networks-1909.11977</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-weight-matrix-based-regularization-methods-for-deep-neural-networks-1909.11977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-weight-matrix-based-regularization-methods-for-deep-neural-networks-1909.11977"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-the-transferability-of-deep-representations-1909.12031</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-the-transferability-of-deep-representations-1909.12031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-the-transferability-of-deep-representations-1909.12031"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionwise-separable-2-d-graph-convolution-for-unsupervised-and-semi-supervised-learning-on-graphs-1909.12038</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionwise-separable-2-d-graph-convolution-for-unsupervised-and-semi-supervised-learning-on-graphs-1909.12038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionwise-separable-2-d-graph-convolution-for-unsupervised-and-semi-supervised-learning-on-graphs-1909.12038"/></url>
<url><loc>https://scifaro.com/en/abs/the-implicit-bias-of-depth-how-incremental-learning-drives-generalization-1909.12051</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-implicit-bias-of-depth-how-incremental-learning-drives-generalization-1909.12051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-implicit-bias-of-depth-how-incremental-learning-drives-generalization-1909.12051"/></url>
<url><loc>https://scifaro.com/en/abs/b-spline-cnns-on-lie-groups-1909.12057</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/b-spline-cnns-on-lie-groups-1909.12057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/b-spline-cnns-on-lie-groups-1909.12057"/></url>
<url><loc>https://scifaro.com/en/abs/set-functions-for-time-series-1909.12064</loc><lastmod>2020-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/set-functions-for-time-series-1909.12064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/set-functions-for-time-series-1909.12064"/></url>
<url><loc>https://scifaro.com/en/abs/symplectic-ode-net-learning-hamiltonian-dynamics-with-control-1909.12077</loc><lastmod>2024-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symplectic-ode-net-learning-hamiltonian-dynamics-with-control-1909.12077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symplectic-ode-net-learning-hamiltonian-dynamics-with-control-1909.12077"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-training-of-neural-networks-with-gradient-boosting-1909.12098</loc><lastmod>2023-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-training-of-neural-networks-with-gradient-boosting-1909.12098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-training-of-neural-networks-with-gradient-boosting-1909.12098"/></url>
<url><loc>https://scifaro.com/en/abs/gradvis-visualization-and-second-order-analysis-of-optimization-surfaces-during-the-training-of-deep-neural-networks-1909.12108</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradvis-visualization-and-second-order-analysis-of-optimization-surfaces-during-the-training-of-deep-neural-networks-1909.12108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradvis-visualization-and-second-order-analysis-of-optimization-surfaces-during-the-training-of-deep-neural-networks-1909.12108"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-and-interpreting-lstms-1909.12114</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-and-interpreting-lstms-1909.12114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-and-interpreting-lstms-1909.12114"/></url>
<url><loc>https://scifaro.com/en/abs/intensity-free-learning-of-temporal-point-processes-1909.12127</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intensity-free-learning-of-temporal-point-processes-1909.12127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intensity-free-learning-of-temporal-point-processes-1909.12127"/></url>
<url><loc>https://scifaro.com/en/abs/galaxy-image-simulation-using-progressive-gans-1909.12160</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/galaxy-image-simulation-using-progressive-gans-1909.12160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/galaxy-image-simulation-using-progressive-gans-1909.12160"/></url>
<url><loc>https://scifaro.com/en/abs/towards-neural-networks-that-provably-know-when-they-don-t-know-1909.12180</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-neural-networks-that-provably-know-when-they-don-t-know-1909.12180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-neural-networks-that-provably-know-when-they-don-t-know-1909.12180"/></url>
<url><loc>https://scifaro.com/en/abs/a-decision-based-dynamic-ensemble-selection-method-for-concept-drift-1909.12185</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-decision-based-dynamic-ensemble-selection-method-for-concept-drift-1909.12185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-decision-based-dynamic-ensemble-selection-method-for-concept-drift-1909.12185"/></url>
<url><loc>https://scifaro.com/en/abs/overlapping-community-detection-with-graph-neural-networks-1909.12201</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overlapping-community-detection-with-graph-neural-networks-1909.12201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overlapping-community-detection-with-graph-neural-networks-1909.12201"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-binary-ternary-quantization-1909.12205</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-binary-ternary-quantization-1909.12205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-binary-ternary-quantization-1909.12205"/></url>
<url><loc>https://scifaro.com/en/abs/pairnorm-tackling-oversmoothing-in-gnns-1909.12223</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pairnorm-tackling-oversmoothing-in-gnns-1909.12223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pairnorm-tackling-oversmoothing-in-gnns-1909.12223"/></url>
<url><loc>https://scifaro.com/en/abs/a-heuristic-for-efficient-reduction-in-hidden-layer-combinations-for-feedforward-neural-networks-1909.12226</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-heuristic-for-efficient-reduction-in-hidden-layer-combinations-for-feedforward-neural-networks-1909.12226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-heuristic-for-efficient-reduction-in-hidden-layer-combinations-for-feedforward-neural-networks-1909.12226"/></url>
<url><loc>https://scifaro.com/en/abs/stock-prices-prediction-using-deep-learning-models-1909.12227</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stock-prices-prediction-using-deep-learning-models-1909.12227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stock-prices-prediction-using-deep-learning-models-1909.12227"/></url>
<url><loc>https://scifaro.com/en/abs/locally-adaptive-activation-functions-with-slope-recovery-term-for-deep-and-physics-informed-neural-networks-1909.12228</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-adaptive-activation-functions-with-slope-recovery-term-for-deep-and-physics-informed-neural-networks-1909.12228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-adaptive-activation-functions-with-slope-recovery-term-for-deep-and-physics-informed-neural-networks-1909.12228"/></url>
<url><loc>https://scifaro.com/en/abs/d3m-a-deep-domain-decomposition-method-for-partial-differential-equations-1909.12236</loc><lastmod>2020-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/d3m-a-deep-domain-decomposition-method-for-partial-differential-equations-1909.12236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/d3m-a-deep-domain-decomposition-method-for-partial-differential-equations-1909.12236"/></url>
<url><loc>https://scifaro.com/en/abs/harnessing-structures-for-value-based-planning-and-reinforcement-learning-1909.12255</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harnessing-structures-for-value-based-planning-and-reinforcement-learning-1909.12255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harnessing-structures-for-value-based-planning-and-reinforcement-learning-1909.12255"/></url>
<url><loc>https://scifaro.com/en/abs/lower-bounds-on-adversarial-robustness-from-optimal-transport-1909.12272</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lower-bounds-on-adversarial-robustness-from-optimal-transport-1909.12272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lower-bounds-on-adversarial-robustness-from-optimal-transport-1909.12272"/></url>
<url><loc>https://scifaro.com/en/abs/attention-forcing-for-sequence-to-sequence-model-training-1909.12289</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-forcing-for-sequence-to-sequence-model-training-1909.12289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-forcing-for-sequence-to-sequence-model-training-1909.12289"/></url>
<url><loc>https://scifaro.com/en/abs/exascale-deep-learning-to-accelerate-cancer-research-1909.12291</loc><lastmod>2019-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exascale-deep-learning-to-accelerate-cancer-research-1909.12291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exascale-deep-learning-to-accelerate-cancer-research-1909.12291"/></url>
<url><loc>https://scifaro.com/en/abs/polylogarithmic-width-suffices-for-gradient-descent-to-achieve-arbitrarily-small-test-error-with-shallow-relu-networks-1909.12292</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polylogarithmic-width-suffices-for-gradient-descent-to-achieve-arbitrarily-small-test-error-with-shallow-relu-networks-1909.12292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polylogarithmic-width-suffices-for-gradient-descent-to-achieve-arbitrarily-small-test-error-with-shallow-relu-networks-1909.12292"/></url>
<url><loc>https://scifaro.com/en/abs/energy-based-models-for-deep-probabilistic-regression-1909.12297</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-based-models-for-deep-probabilistic-regression-1909.12297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-based-models-for-deep-probabilistic-regression-1909.12297"/></url>
<url><loc>https://scifaro.com/en/abs/expert2coder-capturing-divergent-brain-regions-using-mixture-of-regression-experts-1909.12299</loc><lastmod>2020-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expert2coder-capturing-divergent-brain-regions-using-mixture-of-regression-experts-1909.12299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expert2coder-capturing-divergent-brain-regions-using-mixture-of-regression-experts-1909.12299"/></url>
<url><loc>https://scifaro.com/en/abs/crowdsourcing-via-pairwise-co-occurrences-identifiability-and-algorithms-1909.12325</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crowdsourcing-via-pairwise-co-occurrences-identifiability-and-algorithms-1909.12325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crowdsourcing-via-pairwise-co-occurrences-identifiability-and-algorithms-1909.12325"/></url>
<url><loc>https://scifaro.com/en/abs/model-pruning-enables-efficient-federated-learning-on-edge-devices-1909.12326</loc><lastmod>2022-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-pruning-enables-efficient-federated-learning-on-edge-devices-1909.12326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-pruning-enables-efficient-federated-learning-on-edge-devices-1909.12326"/></url>
<url><loc>https://scifaro.com/en/abs/at-stability-s-edge-how-to-adjust-hyperparameters-to-preserve-minima-selection-in-asynchronous-training-of-neural-networks-1909.12340</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/at-stability-s-edge-how-to-adjust-hyperparameters-to-preserve-minima-selection-in-asynchronous-training-of-neural-networks-1909.12340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/at-stability-s-edge-how-to-adjust-hyperparameters-to-preserve-minima-selection-in-asynchronous-training-of-neural-networks-1909.12340"/></url>
<url><loc>https://scifaro.com/en/abs/overparameterized-neural-networks-implement-associative-memory-1909.12362</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overparameterized-neural-networks-implement-associative-memory-1909.12362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overparameterized-neural-networks-implement-associative-memory-1909.12362"/></url>
<url><loc>https://scifaro.com/en/abs/limis-locally-interpretable-modeling-using-instance-wise-subsampling-1909.12367</loc><lastmod>2022-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limis-locally-interpretable-modeling-using-instance-wise-subsampling-1909.12367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limis-locally-interpretable-modeling-using-instance-wise-subsampling-1909.12367"/></url>
<url><loc>https://scifaro.com/en/abs/graph-preserving-grid-layout-a-simple-graph-drawing-method-for-graph-classification-using-cnns-1909.12383</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-preserving-grid-layout-a-simple-graph-drawing-method-for-graph-classification-using-cnns-1909.12383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-preserving-grid-layout-a-simple-graph-drawing-method-for-graph-classification-using-cnns-1909.12383"/></url>
<url><loc>https://scifaro.com/en/abs/a-quest-for-structure-jointly-learning-the-graph-structure-and-semi-supervised-classification-1909.12385</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-quest-for-structure-jointly-learning-the-graph-structure-and-semi-supervised-classification-1909.12385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-quest-for-structure-jointly-learning-the-graph-structure-and-semi-supervised-classification-1909.12385"/></url>
<url><loc>https://scifaro.com/en/abs/caql-continuous-action-q-learning-1909.12397</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/caql-continuous-action-q-learning-1909.12397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/caql-continuous-action-q-learning-1909.12397"/></url>
<url><loc>https://scifaro.com/en/abs/a-matrix-factorization-model-for-hellinger-based-trust-management-in-social-internet-of-things-1909.12432</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-matrix-factorization-model-for-hellinger-based-trust-management-in-social-internet-of-things-1909.12432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-matrix-factorization-model-for-hellinger-based-trust-management-in-social-internet-of-things-1909.12432"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-batch-active-learning-with-deterministic-annealing-1909.12473</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-batch-active-learning-with-deterministic-annealing-1909.12473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-batch-active-learning-with-deterministic-annealing-1909.12473"/></url>
<url><loc>https://scifaro.com/en/abs/hidden-stratification-causes-clinically-meaningful-failures-in-machine-learning-for-medical-imaging-1909.12475</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hidden-stratification-causes-clinically-meaningful-failures-in-machine-learning-for-medical-imaging-1909.12475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hidden-stratification-causes-clinically-meaningful-failures-in-machine-learning-for-medical-imaging-1909.12475"/></url>
<url><loc>https://scifaro.com/en/abs/reweighted-proximal-pruning-for-large-scale-language-representation-1909.12486</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reweighted-proximal-pruning-for-large-scale-language-representation-1909.12486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reweighted-proximal-pruning-for-large-scale-language-representation-1909.12486"/></url>
<url><loc>https://scifaro.com/en/abs/improving-federated-learning-personalization-via-model-agnostic-meta-learning-1909.12488</loc><lastmod>2023-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-federated-learning-personalization-via-model-agnostic-meta-learning-1909.12488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-federated-learning-personalization-via-model-agnostic-meta-learning-1909.12488"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-uncertain-data-via-representative-possible-worlds-with-consistency-learning-1909.12514</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-uncertain-data-via-representative-possible-worlds-with-consistency-learning-1909.12514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-uncertain-data-via-representative-possible-worlds-with-consistency-learning-1909.12514"/></url>
<url><loc>https://scifaro.com/en/abs/margin-based-generalization-lower-bounds-for-boosted-classifiers-1909.12518</loc><lastmod>2020-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/margin-based-generalization-lower-bounds-for-boosted-classifiers-1909.12518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/margin-based-generalization-lower-bounds-for-boosted-classifiers-1909.12518"/></url>
<url><loc>https://scifaro.com/en/abs/federated-user-representation-learning-1909.12535</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-user-representation-learning-1909.12535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-user-representation-learning-1909.12535"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-through-flows-for-recovering-latent-representations-1909.12555</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-through-flows-for-recovering-latent-representations-1909.12555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-through-flows-for-recovering-latent-representations-1909.12555"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-actor-critic-with-hierarchical-graph-attention-network-1909.12557</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-actor-critic-with-hierarchical-graph-attention-network-1909.12557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-actor-critic-with-hierarchical-graph-attention-network-1909.12557"/></url>
<url><loc>https://scifaro.com/en/abs/distantly-supervised-question-parsing-1909.12566</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distantly-supervised-question-parsing-1909.12566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distantly-supervised-question-parsing-1909.12566"/></url>
<url><loc>https://scifaro.com/en/abs/fast-fixed-dimension-l2-subspace-embeddings-of-arbitrary-accuracy-with-application-to-l1-and-l2-tasks-1909.12580</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-fixed-dimension-l2-subspace-embeddings-of-arbitrary-accuracy-with-application-to-l1-and-l2-tasks-1909.12580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-fixed-dimension-l2-subspace-embeddings-of-arbitrary-accuracy-with-application-to-l1-and-l2-tasks-1909.12580"/></url>
<url><loc>https://scifaro.com/en/abs/best-of-many-samples-distribution-matching-1909.12598</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-of-many-samples-distribution-matching-1909.12598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-of-many-samples-distribution-matching-1909.12598"/></url>
<url><loc>https://scifaro.com/en/abs/mgp-atttcn-an-interpretable-machine-learning-model-for-the-prediction-of-sepsis-1909.12637</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mgp-atttcn-an-interpretable-machine-learning-model-for-the-prediction-of-sepsis-1909.12637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mgp-atttcn-an-interpretable-machine-learning-model-for-the-prediction-of-sepsis-1909.12637"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-anomalous-generalization-of-gans-1909.12638</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-anomalous-generalization-of-gans-1909.12638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-anomalous-generalization-of-gans-1909.12638"/></url>
<url><loc>https://scifaro.com/en/abs/active-federated-learning-1909.12641</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-federated-learning-1909.12641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-federated-learning-1909.12641"/></url>
<url><loc>https://scifaro.com/en/abs/on-a-convergence-property-of-a-geometrical-algorithm-for-statistical-manifolds-1909.12644</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-a-convergence-property-of-a-geometrical-algorithm-for-statistical-manifolds-1909.12644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-a-convergence-property-of-a-geometrical-algorithm-for-statistical-manifolds-1909.12644"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-task-and-metrics-of-instance-segmentation-on-3d-point-clouds-1909.12655</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-task-and-metrics-of-instance-segmentation-on-3d-point-clouds-1909.12655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-task-and-metrics-of-instance-segmentation-on-3d-point-clouds-1909.12655"/></url>
<url><loc>https://scifaro.com/en/abs/a-constructive-prediction-of-the-generalization-error-across-scales-1909.12673</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-constructive-prediction-of-the-generalization-error-across-scales-1909.12673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-constructive-prediction-of-the-generalization-error-across-scales-1909.12673"/></url>
<url><loc>https://scifaro.com/en/abs/improved-histogram-based-anomaly-detector-with-the-extended-principal-component-features-1909.12702</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-histogram-based-anomaly-detector-with-the-extended-principal-component-features-1909.12702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-histogram-based-anomaly-detector-with-the-extended-principal-component-features-1909.12702"/></url>
<url><loc>https://scifaro.com/en/abs/alleviating-privacy-attacks-via-causal-learning-1909.12732</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alleviating-privacy-attacks-via-causal-learning-1909.12732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alleviating-privacy-attacks-via-causal-learning-1909.12732"/></url>
<url><loc>https://scifaro.com/en/abs/maximal-adversarial-perturbations-for-obfuscation-hiding-certain-attributes-while-preserving-rest-1909.12734</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximal-adversarial-perturbations-for-obfuscation-hiding-certain-attributes-while-preserving-rest-1909.12734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximal-adversarial-perturbations-for-obfuscation-hiding-certain-attributes-while-preserving-rest-1909.12734"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-compute-inner-consensus-a-novel-approach-to-modeling-agreement-between-capsules-1909.12737</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-compute-inner-consensus-a-novel-approach-to-modeling-agreement-between-capsules-1909.12737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-compute-inner-consensus-a-novel-approach-to-modeling-agreement-between-capsules-1909.12737"/></url>
<url><loc>https://scifaro.com/en/abs/impact-of-low-bitwidth-quantization-on-the-adversarial-robustness-for-embedded-neural-networks-1909.12741</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impact-of-low-bitwidth-quantization-on-the-adversarial-robustness-for-embedded-neural-networks-1909.12741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impact-of-low-bitwidth-quantization-on-the-adversarial-robustness-for-embedded-neural-networks-1909.12741"/></url>
<url><loc>https://scifaro.com/en/abs/global-sparse-momentum-sgd-for-pruning-very-deep-neural-networks-1909.12778</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-sparse-momentum-sgd-for-pruning-very-deep-neural-networks-1909.12778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-sparse-momentum-sgd-for-pruning-very-deep-neural-networks-1909.12778"/></url>
<url><loc>https://scifaro.com/en/abs/stock-market-forecasting-based-on-text-mining-technology-a-support-vector-machine-method-1909.12789</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stock-market-forecasting-based-on-text-mining-technology-a-support-vector-machine-method-1909.12789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stock-market-forecasting-based-on-text-mining-technology-a-support-vector-machine-method-1909.12789"/></url>
<url><loc>https://scifaro.com/en/abs/hamiltonian-graph-networks-with-ode-integrators-1909.12790</loc><lastmod>2019-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamiltonian-graph-networks-with-ode-integrators-1909.12790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamiltonian-graph-networks-with-ode-integrators-1909.12790"/></url>
<url><loc>https://scifaro.com/en/abs/the-differentiable-cross-entropy-method-1909.12830</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-differentiable-cross-entropy-method-1909.12830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-differentiable-cross-entropy-method-1909.12830"/></url>
<url><loc>https://scifaro.com/en/abs/automated-curricula-through-setter-solver-interactions-1909.12892</loc><lastmod>2020-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-curricula-through-setter-solver-interactions-1909.12892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-curricula-through-setter-solver-interactions-1909.12892"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-sparse-low-dimensional-structures-in-markov-chains-a-nonnegative-matrix-factorization-approach-1909.12898</loc><lastmod>2020-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-sparse-low-dimensional-structures-in-markov-chains-a-nonnegative-matrix-factorization-approach-1909.12898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-sparse-low-dimensional-structures-in-markov-chains-a-nonnegative-matrix-factorization-approach-1909.12898"/></url>
<url><loc>https://scifaro.com/en/abs/pine-universal-deep-embedding-for-graph-nodes-via-partial-permutation-invariant-set-functions-1909.12903</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pine-universal-deep-embedding-for-graph-nodes-via-partial-permutation-invariant-set-functions-1909.12903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pine-universal-deep-embedding-for-graph-nodes-via-partial-permutation-invariant-set-functions-1909.12903"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-states-for-atari-agents-via-generative-deep-learning-1909.12969</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-states-for-atari-agents-via-generative-deep-learning-1909.12969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-states-for-atari-agents-via-generative-deep-learning-1909.12969"/></url>
<url><loc>https://scifaro.com/en/abs/robust-membership-encoding-inference-attacks-and-copyright-protection-for-deep-learning-1909.12982</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-membership-encoding-inference-attacks-and-copyright-protection-for-deep-learning-1909.12982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-membership-encoding-inference-attacks-and-copyright-protection-for-deep-learning-1909.12982"/></url>
<url><loc>https://scifaro.com/en/abs/surreal-system-fully-integrated-stack-for-distributed-deep-reinforcement-learning-1909.12989</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surreal-system-fully-integrated-stack-for-distributed-deep-reinforcement-learning-1909.12989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surreal-system-fully-integrated-stack-for-distributed-deep-reinforcement-learning-1909.12989"/></url>
<url><loc>https://scifaro.com/en/abs/dualsmc-tunneling-differentiable-filtering-and-planning-under-continuous-pomdps-1909.13003</loc><lastmod>2020-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dualsmc-tunneling-differentiable-filtering-and-planning-under-continuous-pomdps-1909.13003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dualsmc-tunneling-differentiable-filtering-and-planning-under-continuous-pomdps-1909.13003"/></url>
<url><loc>https://scifaro.com/en/abs/machine-truth-serum-1909.13004</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-truth-serum-1909.13004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-truth-serum-1909.13004"/></url>
<url><loc>https://scifaro.com/en/abs/fedpaq-a-communication-efficient-federated-learning-method-with-periodic-averaging-and-quantization-1909.13014</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedpaq-a-communication-efficient-federated-learning-method-with-periodic-averaging-and-quantization-1909.13014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedpaq-a-communication-efficient-federated-learning-method-with-periodic-averaging-and-quantization-1909.13014"/></url>
<url><loc>https://scifaro.com/en/abs/multi-scale-attributed-node-embedding-1909.13021</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-scale-attributed-node-embedding-1909.13021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-scale-attributed-node-embedding-1909.13021"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-explicit-and-implicit-deep-generative-models-via-neural-stein-estimators-1909.13035</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-explicit-and-implicit-deep-generative-models-via-neural-stein-estimators-1909.13035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-explicit-and-implicit-deep-generative-models-via-neural-stein-estimators-1909.13035"/></url>
<url><loc>https://scifaro.com/en/abs/feature-fusion-detector-for-semantic-cognition-of-remote-sensing-1909.13047</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-fusion-detector-for-semantic-cognition-of-remote-sensing-1909.13047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-fusion-detector-for-semantic-cognition-of-remote-sensing-1909.13047"/></url>
<url><loc>https://scifaro.com/en/abs/active-preference-learning-based-on-radial-basis-functions-1909.13049</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-preference-learning-based-on-radial-basis-functions-1909.13049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-preference-learning-based-on-radial-basis-functions-1909.13049"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-discriminator-in-variational-autoencoder-1909.13062</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-discriminator-in-variational-autoencoder-1909.13062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-discriminator-in-variational-autoencoder-1909.13062"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimal-algorithm-for-multiplayer-multi-armed-bandits-1909.13079</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimal-algorithm-for-multiplayer-multi-armed-bandits-1909.13079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimal-algorithm-for-multiplayer-multi-armed-bandits-1909.13079"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-2-generative-networks-1909.13082</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-2-generative-networks-1909.13082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-2-generative-networks-1909.13082"/></url>
<url><loc>https://scifaro.com/en/abs/multipolar-multi-source-policy-aggregation-for-transfer-reinforcement-learning-between-diverse-environmental-dynamics-1909.13111</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multipolar-multi-source-policy-aggregation-for-transfer-reinforcement-learning-between-diverse-environmental-dynamics-1909.13111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multipolar-multi-source-policy-aggregation-for-transfer-reinforcement-learning-between-diverse-environmental-dynamics-1909.13111"/></url>
<url><loc>https://scifaro.com/en/abs/learning-robust-data-representation-a-knowledge-flow-perspective-1909.13123</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-robust-data-representation-a-knowledge-flow-perspective-1909.13123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-robust-data-representation-a-knowledge-flow-perspective-1909.13123"/></url>
<url><loc>https://scifaro.com/en/abs/additive-powers-of-two-quantization-an-efficient-non-uniform-discretization-for-neural-networks-1909.13144</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/additive-powers-of-two-quantization-an-efficient-non-uniform-discretization-for-neural-networks-1909.13144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/additive-powers-of-two-quantization-an-efficient-non-uniform-discretization-for-neural-networks-1909.13144"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-the-computation-of-ucb-and-related-indices-for-reinforcement-learning-1909.13158</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-the-computation-of-ucb-and-related-indices-for-reinforcement-learning-1909.13158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-the-computation-of-ucb-and-related-indices-for-reinforcement-learning-1909.13158"/></url>
<url><loc>https://scifaro.com/en/abs/deep-k-svd-denoising-1909.13164</loc><lastmod>2020-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-k-svd-denoising-1909.13164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-k-svd-denoising-1909.13164"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-design-verification-using-machine-learning-doing-better-than-random-1909.13168</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-design-verification-using-machine-learning-doing-better-than-random-1909.13168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-design-verification-using-machine-learning-doing-better-than-random-1909.13168"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-stabilizing-gans-training-dynamics-with-control-theory-1909.13188</loc><lastmod>2020-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-stabilizing-gans-training-dynamics-with-control-theory-1909.13188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-stabilizing-gans-training-dynamics-with-control-theory-1909.13188"/></url>
<url><loc>https://scifaro.com/en/abs/gated-task-interaction-framework-for-multi-task-sequence-tagging-1909.13193</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gated-task-interaction-framework-for-multi-task-sequence-tagging-1909.13193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gated-task-interaction-framework-for-multi-task-sequence-tagging-1909.13193"/></url>
<url><loc>https://scifaro.com/en/abs/policy-message-passing-a-new-algorithm-for-probabilistic-graph-inference-1909.13196</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-message-passing-a-new-algorithm-for-probabilistic-graph-inference-1909.13196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-message-passing-a-new-algorithm-for-probabilistic-graph-inference-1909.13196"/></url>
<url><loc>https://scifaro.com/en/abs/learning-transport-cost-from-subset-correspondence-1909.13203</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-transport-cost-from-subset-correspondence-1909.13203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-transport-cost-from-subset-correspondence-1909.13203"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-delivery-with-budget-constraint-in-e-commerce-advertising-1909.13221</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-delivery-with-budget-constraint-in-e-commerce-advertising-1909.13221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-delivery-with-budget-constraint-in-e-commerce-advertising-1909.13221"/></url>
<url><loc>https://scifaro.com/en/abs/test-time-training-with-self-supervision-for-generalization-under-distribution-shifts-1909.13231</loc><lastmod>2020-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/test-time-training-with-self-supervision-for-generalization-under-distribution-shifts-1909.13231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/test-time-training-with-self-supervision-for-generalization-under-distribution-shifts-1909.13231"/></url>
<url><loc>https://scifaro.com/en/abs/context-agnostic-trajectory-prediction-based-on-lambda-architecture-1909.13241</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-agnostic-trajectory-prediction-based-on-lambda-architecture-1909.13241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-agnostic-trajectory-prediction-based-on-lambda-architecture-1909.13241"/></url>
<url><loc>https://scifaro.com/en/abs/adaptivfloat-a-floating-point-based-data-type-for-resilient-deep-learning-inference-1909.13271</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptivfloat-a-floating-point-based-data-type-for-resilient-deep-learning-inference-1909.13271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptivfloat-a-floating-point-based-data-type-for-resilient-deep-learning-inference-1909.13271"/></url>
<url><loc>https://scifaro.com/en/abs/capacity-preserving-mapping-for-high-dimensional-data-visualization-1909.13322</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capacity-preserving-mapping-for-high-dimensional-data-visualization-1909.13322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capacity-preserving-mapping-for-high-dimensional-data-visualization-1909.13322"/></url>
<url><loc>https://scifaro.com/en/abs/symplectic-recurrent-neural-networks-1909.13334</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symplectic-recurrent-neural-networks-1909.13334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symplectic-recurrent-neural-networks-1909.13334"/></url>
<url><loc>https://scifaro.com/en/abs/learning-everywhere-a-taxonomy-for-the-integration-of-machine-learning-and-simulations-1909.13340</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-everywhere-a-taxonomy-for-the-integration-of-machine-learning-and-simulations-1909.13340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-everywhere-a-taxonomy-for-the-integration-of-machine-learning-and-simulations-1909.13340"/></url>
<url><loc>https://scifaro.com/en/abs/isthmus-secure-scalable-real-time-and-robust-machine-learning-platform-for-healthcare-1909.13343</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/isthmus-secure-scalable-real-time-and-robust-machine-learning-platform-for-healthcare-1909.13343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/isthmus-secure-scalable-real-time-and-robust-machine-learning-platform-for-healthcare-1909.13343"/></url>
<url><loc>https://scifaro.com/en/abs/siamese-neural-networks-for-wireless-positioning-and-channel-charting-1909.13355</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/siamese-neural-networks-for-wireless-positioning-and-channel-charting-1909.13355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/siamese-neural-networks-for-wireless-positioning-and-channel-charting-1909.13355"/></url>
<url><loc>https://scifaro.com/en/abs/library-network-a-possible-path-to-explainable-neural-networks-1909.13360</loc><lastmod>2020-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/library-network-a-possible-path-to-explainable-neural-networks-1909.13360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/library-network-a-possible-path-to-explainable-neural-networks-1909.13360"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-the-ultimate-optimizer-1909.13371</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-the-ultimate-optimizer-1909.13371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-the-ultimate-optimizer-1909.13371"/></url>
<url><loc>https://scifaro.com/en/abs/deep-k-nn-defense-against-clean-label-data-poisoning-attacks-1909.13374</loc><lastmod>2020-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-k-nn-defense-against-clean-label-data-poisoning-attacks-1909.13374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-k-nn-defense-against-clean-label-data-poisoning-attacks-1909.13374"/></url>
<url><loc>https://scifaro.com/en/abs/lane-attention-predicting-vehicles-moving-trajectories-by-learning-their-attention-over-lanes-1909.13377</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lane-attention-predicting-vehicles-moving-trajectories-by-learning-their-attention-over-lanes-1909.13377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lane-attention-predicting-vehicles-moving-trajectories-by-learning-their-attention-over-lanes-1909.13377"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-observations-using-a-single-video-demonstration-and-human-feedback-1909.13392</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-observations-using-a-single-video-demonstration-and-human-feedback-1909.13392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-observations-using-a-single-video-demonstration-and-human-feedback-1909.13392"/></url>
<url><loc>https://scifaro.com/en/abs/using-gans-for-sharing-networked-time-series-data-challenges-initial-promise-and-open-questions-1909.13403</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-gans-for-sharing-networked-time-series-data-challenges-initial-promise-and-open-questions-1909.13403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-gans-for-sharing-networked-time-series-data-challenges-initial-promise-and-open-questions-1909.13403"/></url>
<url><loc>https://scifaro.com/en/abs/towards-modular-and-programmable-architecture-search-1909.13404</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-modular-and-programmable-architecture-search-1909.13404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-modular-and-programmable-architecture-search-1909.13404"/></url>
<url><loc>https://scifaro.com/en/abs/multi-classifier-prediction-of-knee-osteoarthritis-progression-from-incomplete-imbalanced-longitudinal-data-1909.13408</loc><lastmod>2020-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-classifier-prediction-of-knee-osteoarthritis-progression-from-incomplete-imbalanced-longitudinal-data-1909.13408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-classifier-prediction-of-knee-osteoarthritis-progression-from-incomplete-imbalanced-longitudinal-data-1909.13408"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-based-cooperative-control-for-large-scale-multi-intersection-traffic-signal-using-deep-reinforcement-learning-and-imitation-learning-1909.13428</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-based-cooperative-control-for-large-scale-multi-intersection-traffic-signal-using-deep-reinforcement-learning-and-imitation-learning-1909.13428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-based-cooperative-control-for-large-scale-multi-intersection-traffic-signal-using-deep-reinforcement-learning-and-imitation-learning-1909.13428"/></url>
<url><loc>https://scifaro.com/en/abs/deep-amortized-clustering-1909.13433</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-amortized-clustering-1909.13433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-amortized-clustering-1909.13433"/></url>
<url><loc>https://scifaro.com/en/abs/random-bias-initialization-improves-quantized-training-1909.13446</loc><lastmod>2020-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-bias-initialization-improves-quantized-training-1909.13446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-bias-initialization-improves-quantized-training-1909.13446"/></url>
<url><loc>https://scifaro.com/en/abs/improving-textual-network-learning-with-variational-homophilic-embeddings-1909.13456</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-textual-network-learning-with-variational-homophilic-embeddings-1909.13456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-textual-network-learning-with-variational-homophilic-embeddings-1909.13456"/></url>
<url><loc>https://scifaro.com/en/abs/student-specialization-in-deep-relu-networks-with-finite-width-and-input-dimension-1909.13458</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/student-specialization-in-deep-relu-networks-with-finite-width-and-input-dimension-1909.13458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/student-specialization-in-deep-relu-networks-with-finite-width-and-input-dimension-1909.13458"/></url>
<url><loc>https://scifaro.com/en/abs/oblique-decision-trees-from-derivatives-of-relu-networks-1909.13488</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oblique-decision-trees-from-derivatives-of-relu-networks-1909.13488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oblique-decision-trees-from-derivatives-of-relu-networks-1909.13488"/></url>
<url><loc>https://scifaro.com/en/abs/dsrgan-explicitly-learning-disentangled-representation-of-underlying-structure-and-rendering-for-image-generation-without-tuple-supervision-1909.13501</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dsrgan-explicitly-learning-disentangled-representation-of-underlying-structure-and-rendering-for-image-generation-without-tuple-supervision-1909.13501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dsrgan-explicitly-learning-disentangled-representation-of-underlying-structure-and-rendering-for-image-generation-without-tuple-supervision-1909.13501"/></url>
<url><loc>https://scifaro.com/en/abs/composite-q-learning-multi-scale-q-function-decomposition-and-separable-optimization-1909.13518</loc><lastmod>2020-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composite-q-learning-multi-scale-q-function-decomposition-and-separable-optimization-1909.13518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composite-q-learning-multi-scale-q-function-decomposition-and-separable-optimization-1909.13518"/></url>
<url><loc>https://scifaro.com/en/abs/graph-residual-flow-for-molecular-graph-generation-1909.13521</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-residual-flow-for-molecular-graph-generation-1909.13521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-residual-flow-for-molecular-graph-generation-1909.13521"/></url>
<url><loc>https://scifaro.com/en/abs/well-calibrated-model-uncertainty-with-temperature-scaling-for-dropout-variational-inference-1909.13550</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/well-calibrated-model-uncertainty-with-temperature-scaling-for-dropout-variational-inference-1909.13550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/well-calibrated-model-uncertainty-with-temperature-scaling-for-dropout-variational-inference-1909.13550"/></url>
<url><loc>https://scifaro.com/en/abs/imagine-that-leveraging-emergent-affordances-for-3d-tool-synthesis-1909.13561</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imagine-that-leveraging-emergent-affordances-for-3d-tool-synthesis-1909.13561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imagine-that-leveraging-emergent-affordances-for-3d-tool-synthesis-1909.13561"/></url>
<url><loc>https://scifaro.com/en/abs/a-gradient-free-neural-network-framework-based-on-universal-approximation-theorem-1909.13563</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gradient-free-neural-network-framework-based-on-universal-approximation-theorem-1909.13563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gradient-free-neural-network-framework-based-on-universal-approximation-theorem-1909.13563"/></url>
<url><loc>https://scifaro.com/en/abs/chameleon-learning-model-initializations-across-tasks-with-different-schemas-1909.13576</loc><lastmod>2020-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chameleon-learning-model-initializations-across-tasks-with-different-schemas-1909.13576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chameleon-learning-model-initializations-across-tasks-with-different-schemas-1909.13576"/></url>
<url><loc>https://scifaro.com/en/abs/spread-gram-a-spreading-activation-schema-of-network-structural-learning-1909.13581</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spread-gram-a-spreading-activation-schema-of-network-structural-learning-1909.13581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spread-gram-a-spreading-activation-schema-of-network-structural-learning-1909.13581"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-interaction-aware-scene-understanding-for-reinforcement-learning-in-autonomous-driving-1909.13582</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-interaction-aware-scene-understanding-for-reinforcement-learning-in-autonomous-driving-1909.13582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-interaction-aware-scene-understanding-for-reinforcement-learning-in-autonomous-driving-1909.13582"/></url>
<url><loc>https://scifaro.com/en/abs/interpretations-are-useful-penalizing-explanations-to-align-neural-networks-with-prior-knowledge-1909.13584</loc><lastmod>2020-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretations-are-useful-penalizing-explanations-to-align-neural-networks-with-prior-knowledge-1909.13584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretations-are-useful-penalizing-explanations-to-align-neural-networks-with-prior-knowledge-1909.13584"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-direct-perception-networks-for-automated-driving-1909.13600</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-direct-perception-networks-for-automated-driving-1909.13600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-direct-perception-networks-for-automated-driving-1909.13600"/></url>
<url><loc>https://scifaro.com/en/abs/mghrl-meta-goal-generation-for-hierarchical-reinforcement-learning-1909.13607</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mghrl-meta-goal-generation-for-hierarchical-reinforcement-learning-1909.13607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mghrl-meta-goal-generation-for-hierarchical-reinforcement-learning-1909.13607"/></url>
<url><loc>https://scifaro.com/en/abs/mononet-towards-interpretable-models-by-learning-monotonic-features-1909.13611</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mononet-towards-interpretable-models-by-learning-monotonic-features-1909.13611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mononet-towards-interpretable-models-by-learning-monotonic-features-1909.13611"/></url>
<url><loc>https://scifaro.com/en/abs/an-iterative-scientific-machine-learning-approach-for-discovery-of-theories-underlying-physical-phenomena-1909.13718</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-iterative-scientific-machine-learning-approach-for-discovery-of-theories-underlying-physical-phenomena-1909.13718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-iterative-scientific-machine-learning-approach-for-discovery-of-theories-underlying-physical-phenomena-1909.13718"/></url>
<url><loc>https://scifaro.com/en/abs/k-metamodes-frequency-and-ensemble-based-distributed-k-modes-clustering-for-security-analytics-1909.13721</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-metamodes-frequency-and-ensemble-based-distributed-k-modes-clustering-for-security-analytics-1909.13721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-metamodes-frequency-and-ensemble-based-distributed-k-modes-clustering-for-security-analytics-1909.13721"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-self-training-for-neural-sequence-generation-1909.13788</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-self-training-for-neural-sequence-generation-1909.13788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-self-training-for-neural-sequence-generation-1909.13788"/></url>
<url><loc>https://scifaro.com/en/abs/hamiltonian-generative-networks-1909.13789</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamiltonian-generative-networks-1909.13789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamiltonian-generative-networks-1909.13789"/></url>
<url><loc>https://scifaro.com/en/abs/min-max-optimization-without-gradients-convergence-and-applications-to-adversarial-ml-1909.13806</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/min-max-optimization-without-gradients-convergence-and-applications-to-adversarial-ml-1909.13806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/min-max-optimization-without-gradients-convergence-and-applications-to-adversarial-ml-1909.13806"/></url>
<url><loc>https://scifaro.com/en/abs/rlcache-automated-cache-management-using-reinforcement-learning-1909.13839</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rlcache-automated-cache-management-using-reinforcement-learning-1909.13839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rlcache-automated-cache-management-using-reinforcement-learning-1909.13839"/></url>
<url><loc>https://scifaro.com/en/abs/automated-design-of-error-resilient-and-hardware-efficient-deep-neural-networks-1909.13844</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-design-of-error-resilient-and-hardware-efficient-deep-neural-networks-1909.13844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-design-of-error-resilient-and-hardware-efficient-deep-neural-networks-1909.13844"/></url>
<url><loc>https://scifaro.com/en/abs/universal-approximation-with-certified-networks-1909.13846</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-approximation-with-certified-networks-1909.13846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-approximation-with-certified-networks-1909.13846"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-adversarial-attacks-with-bayesian-optimization-1909.13857</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-adversarial-attacks-with-bayesian-optimization-1909.13857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-adversarial-attacks-with-bayesian-optimization-1909.13857"/></url>
<url><loc>https://scifaro.com/en/abs/learning-compact-models-for-planning-with-exogenous-processes-1909.13870</loc><lastmod>2019-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-compact-models-for-planning-with-exogenous-processes-1909.13870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-compact-models-for-planning-with-exogenous-processes-1909.13870"/></url>
<url><loc>https://scifaro.com/en/abs/meta-graph-based-hin-spectral-embedding-methods-analyses-and-insights-1910.00004</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-graph-based-hin-spectral-embedding-methods-analyses-and-insights-1910.00004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-graph-based-hin-spectral-embedding-methods-analyses-and-insights-1910.00004"/></url>
<url><loc>https://scifaro.com/en/abs/neural-embedding-propagation-on-heterogeneous-networks-1910.00005</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-embedding-propagation-on-heterogeneous-networks-1910.00005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-embedding-propagation-on-heterogeneous-networks-1910.00005"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-attention-networks-for-fine-grained-opinion-mining-and-public-health-1910.00054</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-attention-networks-for-fine-grained-opinion-mining-and-public-health-1910.00054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-attention-networks-for-fine-grained-opinion-mining-and-public-health-1910.00054"/></url>
<url><loc>https://scifaro.com/en/abs/tutorial-on-implied-posterior-probability-for-svms-1910.00062</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tutorial-on-implied-posterior-probability-for-svms-1910.00062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tutorial-on-implied-posterior-probability-for-svms-1910.00062"/></url>
<url><loc>https://scifaro.com/en/abs/miopen-an-open-source-library-for-deep-learning-primitives-1910.00078</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/miopen-an-open-source-library-for-deep-learning-primitives-1910.00078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/miopen-an-open-source-library-for-deep-learning-primitives-1910.00078"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-graph-attention-for-answering-logical-queries-over-incomplete-knowledge-graphs-1910.00084</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-graph-attention-for-answering-logical-queries-over-incomplete-knowledge-graphs-1910.00084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-graph-attention-for-answering-logical-queries-over-incomplete-knowledge-graphs-1910.00084"/></url>
<url><loc>https://scifaro.com/en/abs/deep-coordination-graphs-1910.00091</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-coordination-graphs-1910.00091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-coordination-graphs-1910.00091"/></url>
<url><loc>https://scifaro.com/en/abs/cmts-conditional-multiple-trajectory-synthesizer-for-generating-safety-critical-driving-scenarios-1910.00099</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cmts-conditional-multiple-trajectory-synthesizer-for-generating-safety-critical-driving-scenarios-1910.00099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cmts-conditional-multiple-trajectory-synthesizer-for-generating-safety-critical-driving-scenarios-1910.00099"/></url>
<url><loc>https://scifaro.com/en/abs/deep-cooking-predicting-relative-food-ingredient-amounts-from-images-1910.00100</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-cooking-predicting-relative-food-ingredient-amounts-from-images-1910.00100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-cooking-predicting-relative-food-ingredient-amounts-from-images-1910.00100"/></url>
<url><loc>https://scifaro.com/en/abs/risk-aware-planning-by-confidence-estimation-using-deep-learning-based-perception-1910.00101</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-aware-planning-by-confidence-estimation-using-deep-learning-based-perception-1910.00101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-aware-planning-by-confidence-estimation-using-deep-learning-based-perception-1910.00101"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptive-imitation-learning-1910.00105</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptive-imitation-learning-1910.00105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptive-imitation-learning-1910.00105"/></url>
<url><loc>https://scifaro.com/en/abs/multiagent-rollout-algorithms-and-reinforcement-learning-1910.00120</loc><lastmod>2020-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiagent-rollout-algorithms-and-reinforcement-learning-1910.00120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiagent-rollout-algorithms-and-reinforcement-learning-1910.00120"/></url>
<url><loc>https://scifaro.com/en/abs/meta-q-learning-1910.00125</loc><lastmod>2020-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-q-learning-1910.00125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-q-learning-1910.00125"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-ablation-feature-importance-1910.00174</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-ablation-feature-importance-1910.00174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-ablation-feature-importance-1910.00174"/></url>
<url><loc>https://scifaro.com/en/abs/advantage-weighted-regression-simple-and-scalable-off-policy-reinforcement-learning-1910.00177</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advantage-weighted-regression-simple-and-scalable-off-policy-reinforcement-learning-1910.00177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advantage-weighted-regression-simple-and-scalable-off-policy-reinforcement-learning-1910.00177"/></url>
<url><loc>https://scifaro.com/en/abs/ngemm-optimizing-gemm-for-deep-learning-via-compiler-based-techniques-1910.00178</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ngemm-optimizing-gemm-for-deep-learning-via-compiler-based-techniques-1910.00178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ngemm-optimizing-gemm-for-deep-learning-via-compiler-based-techniques-1910.00178"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-alzheimer-s-disease-by-hierarchical-graph-convolution-from-positron-emission-tomography-imaging-1910.00185</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-alzheimer-s-disease-by-hierarchical-graph-convolution-from-positron-emission-tomography-imaging-1910.00185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-alzheimer-s-disease-by-hierarchical-graph-convolution-from-positron-emission-tomography-imaging-1910.00185"/></url>
<url><loc>https://scifaro.com/en/abs/the-non-iid-data-quagmire-of-decentralized-machine-learning-1910.00189</loc><lastmod>2020-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-non-iid-data-quagmire-of-decentralized-machine-learning-1910.00189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-non-iid-data-quagmire-of-decentralized-machine-learning-1910.00189"/></url>
<url><loc>https://scifaro.com/en/abs/how-noise-affects-the-hessian-spectrum-in-overparameterized-neural-networks-1910.00195</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-noise-affects-the-hessian-spectrum-in-overparameterized-neural-networks-1910.00195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-noise-affects-the-hessian-spectrum-in-overparameterized-neural-networks-1910.00195"/></url>
<url><loc>https://scifaro.com/en/abs/blending-diverse-physical-priors-with-neural-networks-1910.00201</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blending-diverse-physical-priors-with-neural-networks-1910.00201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blending-diverse-physical-priors-with-neural-networks-1910.00201"/></url>
<url><loc>https://scifaro.com/en/abs/trimap-large-scale-dimensionality-reduction-using-triplets-1910.00204</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trimap-large-scale-dimensionality-reduction-using-triplets-1910.00204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trimap-large-scale-dimensionality-reduction-using-triplets-1910.00204"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-fine-tuning-for-few-shot-learning-1910.00216</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-fine-tuning-for-few-shot-learning-1910.00216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-fine-tuning-for-few-shot-learning-1910.00216"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-unknown-decision-functions-to-build-classifier-copies-1910.00237</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-unknown-decision-functions-to-build-classifier-copies-1910.00237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-unknown-decision-functions-to-build-classifier-copies-1910.00237"/></url>
<url><loc>https://scifaro.com/en/abs/robust-learning-with-the-hilbert-schmidt-independence-criterion-1910.00270</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-learning-with-the-hilbert-schmidt-independence-criterion-1910.00270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-learning-with-the-hilbert-schmidt-independence-criterion-1910.00270"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-in-generation-a-closer-look-at-exposure-bias-1910.00292</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-in-generation-a-closer-look-at-exposure-bias-1910.00292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-in-generation-a-closer-look-at-exposure-bias-1910.00292"/></url>
<url><loc>https://scifaro.com/en/abs/bionlp-ost-2019-rdoc-tasks-multi-grain-neural-relevance-ranking-using-topics-and-attention-based-query-document-sentence-interactions-1910.00314</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bionlp-ost-2019-rdoc-tasks-multi-grain-neural-relevance-ranking-using-topics-and-attention-based-query-document-sentence-interactions-1910.00314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bionlp-ost-2019-rdoc-tasks-multi-grain-neural-relevance-ranking-using-topics-and-attention-based-query-document-sentence-interactions-1910.00314"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-modal-feature-embedding-approach-to-diagnose-alzheimer-disease-from-spoken-language-1910.00330</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-modal-feature-embedding-approach-to-diagnose-alzheimer-disease-from-spoken-language-1910.00330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-modal-feature-embedding-approach-to-diagnose-alzheimer-disease-from-spoken-language-1910.00330"/></url>
<url><loc>https://scifaro.com/en/abs/truth-or-backpropaganda-an-empirical-investigation-of-deep-learning-theory-1910.00359</loc><lastmod>2020-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truth-or-backpropaganda-an-empirical-investigation-of-deep-learning-theory-1910.00359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truth-or-backpropaganda-an-empirical-investigation-of-deep-learning-theory-1910.00359"/></url>
<url><loc>https://scifaro.com/en/abs/sub-architecture-ensemble-pruning-in-neural-architecture-search-1910.00370</loc><lastmod>2022-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sub-architecture-ensemble-pruning-in-neural-architecture-search-1910.00370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sub-architecture-ensemble-pruning-in-neural-architecture-search-1910.00370"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-model-interpretability-and-stability-to-increase-model-robustness-1910.00387</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-model-interpretability-and-stability-to-increase-model-robustness-1910.00387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-model-interpretability-and-stability-to-increase-model-robustness-1910.00387"/></url>
<url><loc>https://scifaro.com/en/abs/affordable-uplift-supervised-randomization-in-controlled-experiments-1910.00393</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/affordable-uplift-supervised-randomization-in-controlled-experiments-1910.00393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/affordable-uplift-supervised-randomization-in-controlled-experiments-1910.00393"/></url>
<url><loc>https://scifaro.com/en/abs/safe-reinforcement-learning-on-autonomous-vehicles-1910.00399</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-reinforcement-learning-on-autonomous-vehicles-1910.00399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-reinforcement-learning-on-autonomous-vehicles-1910.00399"/></url>
<url><loc>https://scifaro.com/en/abs/decision-explanation-and-feature-importance-for-invertible-networks-1910.00406</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-explanation-and-feature-importance-for-invertible-networks-1910.00406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-explanation-and-feature-importance-for-invertible-networks-1910.00406"/></url>
<url><loc>https://scifaro.com/en/abs/generating-fair-universal-representations-using-adversarial-models-1910.00411</loc><lastmod>2022-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-fair-universal-representations-using-adversarial-models-1910.00411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-fair-universal-representations-using-adversarial-models-1910.00411"/></url>
<url><loc>https://scifaro.com/en/abs/does-4-4-2-exist-an-analytics-approach-to-understand-and-classify-football-team-formations-in-single-match-situations-1910.00412</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-4-4-2-exist-an-analytics-approach-to-understand-and-classify-football-team-formations-in-single-match-situations-1910.00412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-4-4-2-exist-an-analytics-approach-to-understand-and-classify-football-team-formations-in-single-match-situations-1910.00412"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-k-means-probabilistic-poverty-1910.00413</loc><lastmod>2022-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-k-means-probabilistic-poverty-1910.00413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-k-means-probabilistic-poverty-1910.00413"/></url>
<url><loc>https://scifaro.com/en/abs/blessing-of-dimensionality-at-the-edge-1910.00445</loc><lastmod>2022-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blessing-of-dimensionality-at-the-edge-1910.00445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blessing-of-dimensionality-at-the-edge-1910.00445"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-equivalence-between-positional-node-embeddings-and-structural-graph-representations-1910.00452</loc><lastmod>2020-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-equivalence-between-positional-node-embeddings-and-structural-graph-representations-1910.00452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-equivalence-between-positional-node-embeddings-and-structural-graph-representations-1910.00452"/></url>
<url><loc>https://scifaro.com/en/abs/compensating-supervision-incompleteness-with-prior-knowledge-in-semantic-image-interpretation-1910.00462</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compensating-supervision-incompleteness-with-prior-knowledge-in-semantic-image-interpretation-1910.00462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compensating-supervision-incompleteness-with-prior-knowledge-in-semantic-image-interpretation-1910.00462"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-smooth-glm-in-non-interactive-local-differential-privacy-model-with-public-unlabeled-data-1910.00482</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-smooth-glm-in-non-interactive-local-differential-privacy-model-with-public-unlabeled-data-1910.00482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-smooth-glm-in-non-interactive-local-differential-privacy-model-with-public-unlabeled-data-1910.00482"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-and-margin-approaching-zero-confidence-adversarial-attack-1910.00511</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-and-margin-approaching-zero-confidence-adversarial-attack-1910.00511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-and-margin-approaching-zero-confidence-adversarial-attack-1910.00511"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multi-stage-sparsification-for-maximum-clique-enumeration-1910.00517</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multi-stage-sparsification-for-maximum-clique-enumeration-1910.00517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multi-stage-sparsification-for-maximum-clique-enumeration-1910.00517"/></url>
<url><loc>https://scifaro.com/en/abs/augmenting-learning-using-symmetry-in-a-biologically-inspired-domain-1910.00528</loc><lastmod>2019-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmenting-learning-using-symmetry-in-a-biologically-inspired-domain-1910.00528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmenting-learning-using-symmetry-in-a-biologically-inspired-domain-1910.00528"/></url>
<url><loc>https://scifaro.com/en/abs/training-generative-networks-with-general-optimal-transport-distances-1910.00535</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-generative-networks-with-general-optimal-transport-distances-1910.00535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-generative-networks-with-general-optimal-transport-distances-1910.00535"/></url>
<url><loc>https://scifaro.com/en/abs/deep-lifetime-clustering-1910.00547</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-lifetime-clustering-1910.00547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-lifetime-clustering-1910.00547"/></url>
<url><loc>https://scifaro.com/en/abs/structural-language-models-of-code-1910.00577</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-language-models-of-code-1910.00577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-language-models-of-code-1910.00577"/></url>
<url><loc>https://scifaro.com/en/abs/cwae-irl-formulating-a-supervised-approach-to-inverse-reinforcement-learning-problem-1910.00584</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cwae-irl-formulating-a-supervised-approach-to-inverse-reinforcement-learning-problem-1910.00584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cwae-irl-formulating-a-supervised-approach-to-inverse-reinforcement-learning-problem-1910.00584"/></url>
<url><loc>https://scifaro.com/en/abs/slowmo-improving-communication-efficient-distributed-sgd-with-slow-momentum-1910.00643</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slowmo-improving-communication-efficient-distributed-sgd-with-slow-momentum-1910.00643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slowmo-improving-communication-efficient-distributed-sgd-with-slow-momentum-1910.00643"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-chaotic-systems-with-very-low-connectivity-reservoir-computers-1910.00659</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-chaotic-systems-with-very-low-connectivity-reservoir-computers-1910.00659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-chaotic-systems-with-very-low-connectivity-reservoir-computers-1910.00659"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-neural-processes-1910.00668</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-neural-processes-1910.00668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-neural-processes-1910.00668"/></url>
<url><loc>https://scifaro.com/en/abs/re-balancing-variational-autoencoder-loss-for-molecule-sequence-generation-1910.00698</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/re-balancing-variational-autoencoder-loss-for-molecule-sequence-generation-1910.00698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/re-balancing-variational-autoencoder-loss-for-molecule-sequence-generation-1910.00698"/></url>
<url><loc>https://scifaro.com/en/abs/nesta-hamming-weight-compression-based-neural-proc-engine-1910.00700</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nesta-hamming-weight-compression-based-neural-proc-engine-1910.00700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nesta-hamming-weight-compression-based-neural-proc-engine-1910.00700"/></url>
<url><loc>https://scifaro.com/en/abs/distilling-effective-supervision-from-severe-label-noise-1910.00701</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilling-effective-supervision-from-severe-label-noise-1910.00701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilling-effective-supervision-from-severe-label-noise-1910.00701"/></url>
<url><loc>https://scifaro.com/en/abs/transgcn-coupling-transformation-assumptions-with-graph-convolutional-networks-for-link-prediction-1910.00702</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transgcn-coupling-transformation-assumptions-with-graph-convolutional-networks-for-link-prediction-1910.00702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transgcn-coupling-transformation-assumptions-with-graph-convolutional-networks-for-link-prediction-1910.00702"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-and-improving-neural-networks-by-generating-semantic-counterexamples-through-differentiable-rendering-1910.00727</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-and-improving-neural-networks-by-generating-semantic-counterexamples-through-differentiable-rendering-1910.00727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-and-improving-neural-networks-by-generating-semantic-counterexamples-through-differentiable-rendering-1910.00727"/></url>
<url><loc>https://scifaro.com/en/abs/reverse-engineering-deep-relu-networks-1910.00744</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reverse-engineering-deep-relu-networks-1910.00744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reverse-engineering-deep-relu-networks-1910.00744"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-factorization-of-style-and-structure-in-fonts-1910.00748</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-factorization-of-style-and-structure-in-fonts-1910.00748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-factorization-of-style-and-structure-in-fonts-1910.00748"/></url>
<url><loc>https://scifaro.com/en/abs/ward2icu-a-vital-signs-dataset-of-inpatients-from-the-general-ward-1910.00752</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ward2icu-a-vital-signs-dataset-of-inpatients-from-the-general-ward-1910.00752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ward2icu-a-vital-signs-dataset-of-inpatients-from-the-general-ward-1910.00752"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-graph-generation-with-graph-recurrent-attention-networks-1910.00760</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-graph-generation-with-graph-recurrent-attention-networks-1910.00760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-graph-generation-with-graph-recurrent-attention-networks-1910.00760"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-deep-learning-by-focusing-on-the-biggest-losers-1910.00762</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-deep-learning-by-focusing-on-the-biggest-losers-1910.00762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-deep-learning-by-focusing-on-the-biggest-losers-1910.00762"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-local-explanation-for-black-box-classifiers-1910.00768</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-local-explanation-for-black-box-classifiers-1910.00768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-local-explanation-for-black-box-classifiers-1910.00768"/></url>
<url><loc>https://scifaro.com/en/abs/variational-temporal-abstraction-1910.00775</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-temporal-abstraction-1910.00775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-temporal-abstraction-1910.00775"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-estimation-of-the-wasserstein-distance-in-generative-models-1910.00888</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-estimation-of-the-wasserstein-distance-in-generative-models-1910.00888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-estimation-of-the-wasserstein-distance-in-generative-models-1910.00888"/></url>
<url><loc>https://scifaro.com/en/abs/stabilizing-generative-adversarial-networks-a-survey-1910.00927</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilizing-generative-adversarial-networks-a-survey-1910.00927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilizing-generative-adversarial-networks-a-survey-1910.00927"/></url>
<url><loc>https://scifaro.com/en/abs/difftaichi-differentiable-programming-for-physical-simulation-1910.00935</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/difftaichi-differentiable-programming-for-physical-simulation-1910.00935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/difftaichi-differentiable-programming-for-physical-simulation-1910.00935"/></url>
<url><loc>https://scifaro.com/en/abs/keep-it-simple-graph-autoencoders-without-graph-convolutional-networks-1910.00942</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/keep-it-simple-graph-autoencoders-without-graph-convolutional-networks-1910.00942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/keep-it-simple-graph-autoencoders-without-graph-convolutional-networks-1910.00942"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-machine-learning-models-on-multi-centre-eicu-critical-care-dataset-1910.00964</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-machine-learning-models-on-multi-centre-eicu-critical-care-dataset-1910.00964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-machine-learning-models-on-multi-centre-eicu-critical-care-dataset-1910.00964"/></url>
<url><loc>https://scifaro.com/en/abs/learning-maximally-predictive-prototypes-in-multiple-instance-learning-1910.00965</loc><lastmod>2021-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-maximally-predictive-prototypes-in-multiple-instance-learning-1910.00965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-maximally-predictive-prototypes-in-multiple-instance-learning-1910.00965"/></url>
<url><loc>https://scifaro.com/en/abs/confusionflow-a-model-agnostic-visualization-for-temporal-analysis-of-classifier-confusion-1910.00969</loc><lastmod>2020-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confusionflow-a-model-agnostic-visualization-for-temporal-analysis-of-classifier-confusion-1910.00969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confusionflow-a-model-agnostic-visualization-for-temporal-analysis-of-classifier-confusion-1910.00969"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-robust-few-shot-learning-a-meta-learning-approach-1910.00982</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-robust-few-shot-learning-a-meta-learning-approach-1910.00982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-robust-few-shot-learning-a-meta-learning-approach-1910.00982"/></url>
<url><loc>https://scifaro.com/en/abs/quarl-quantization-for-fast-and-environmentally-sustainable-reinforcement-learning-1910.01055</loc><lastmod>2022-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quarl-quantization-for-fast-and-environmentally-sustainable-reinforcement-learning-1910.01055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quarl-quantization-for-fast-and-environmentally-sustainable-reinforcement-learning-1910.01055"/></url>
<url><loc>https://scifaro.com/en/abs/an-introduction-to-probabilistic-spiking-neural-networks-probabilistic-models-learning-rules-and-applications-1910.01059</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-introduction-to-probabilistic-spiking-neural-networks-probabilistic-models-learning-rules-and-applications-1910.01059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-introduction-to-probabilistic-spiking-neural-networks-probabilistic-models-learning-rules-and-applications-1910.01059"/></url>
<url><loc>https://scifaro.com/en/abs/never-worse-mostly-better-stable-policy-improvement-in-deep-reinforcement-learning-1910.01062</loc><lastmod>2022-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/never-worse-mostly-better-stable-policy-improvement-in-deep-reinforcement-learning-1910.01062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/never-worse-mostly-better-stable-policy-improvement-in-deep-reinforcement-learning-1910.01062"/></url>
<url><loc>https://scifaro.com/en/abs/concept-drift-detection-and-adaptation-with-weak-supervision-on-streaming-unlabeled-data-1910.01064</loc><lastmod>2019-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-drift-detection-and-adaptation-with-weak-supervision-on-streaming-unlabeled-data-1910.01064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-drift-detection-and-adaptation-with-weak-supervision-on-streaming-unlabeled-data-1910.01064"/></url>
<url><loc>https://scifaro.com/en/abs/formal-language-constraints-for-markov-decision-processes-1910.01074</loc><lastmod>2020-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/formal-language-constraints-for-markov-decision-processes-1910.01074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/formal-language-constraints-for-markov-decision-processes-1910.01074"/></url>
<url><loc>https://scifaro.com/en/abs/task-relevant-adversarial-imitation-learning-1910.01077</loc><lastmod>2020-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-relevant-adversarial-imitation-learning-1910.01077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-relevant-adversarial-imitation-learning-1910.01077"/></url>
<url><loc>https://scifaro.com/en/abs/elastic-infogan-unsupervised-disentangled-representation-learning-in-class-imbalanced-data-1910.01112</loc><lastmod>2020-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elastic-infogan-unsupervised-disentangled-representation-learning-in-class-imbalanced-data-1910.01112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elastic-infogan-unsupervised-disentangled-representation-learning-in-class-imbalanced-data-1910.01112"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-bandits-with-delayed-composite-anonymous-feedback-1910.01161</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-bandits-with-delayed-composite-anonymous-feedback-1910.01161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-bandits-with-delayed-composite-anonymous-feedback-1910.01161"/></url>
<url><loc>https://scifaro.com/en/abs/learning-calibratable-policies-using-programmatic-style-consistency-1910.01179</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-calibratable-policies-using-programmatic-style-consistency-1910.01179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-calibratable-policies-using-programmatic-style-consistency-1910.01179"/></url>
<url><loc>https://scifaro.com/en/abs/graph-hist-graph-classification-from-latent-feature-histograms-with-application-to-bot-detection-1910.01180</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-hist-graph-classification-from-latent-feature-histograms-with-application-to-bot-detection-1910.01180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-hist-graph-classification-from-latent-feature-histograms-with-application-to-bot-detection-1910.01180"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometric-approach-to-online-streaming-feature-selection-1910.01182</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometric-approach-to-online-streaming-feature-selection-1910.01182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometric-approach-to-online-streaming-feature-selection-1910.01182"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-data-loading-in-deep-neural-network-training-1910.01196</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-data-loading-in-deep-neural-network-training-1910.01196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-data-loading-in-deep-neural-network-training-1910.01196"/></url>
<url><loc>https://scifaro.com/en/abs/learning-optimal-solutions-for-extremely-fast-ac-optimal-power-flow-1910.01213</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-optimal-solutions-for-extremely-fast-ac-optimal-power-flow-1910.01213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-optimal-solutions-for-extremely-fast-ac-optimal-power-flow-1910.01213"/></url>
<url><loc>https://scifaro.com/en/abs/es-maml-simple-hessian-free-meta-learning-1910.01215</loc><lastmod>2020-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/es-maml-simple-hessian-free-meta-learning-1910.01215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/es-maml-simple-hessian-free-meta-learning-1910.01215"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-single-shot-diagnosis-and-adaptation-in-damaged-robots-1910.01240</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-single-shot-diagnosis-and-adaptation-in-damaged-robots-1910.01240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-single-shot-diagnosis-and-adaptation-in-damaged-robots-1910.01240"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-the-variance-of-policy-gradient-estimators-for-the-linear-quadratic-regulator-1910.01249</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-the-variance-of-policy-gradient-estimators-for-the-linear-quadratic-regulator-1910.01249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-the-variance-of-policy-gradient-estimators-for-the-linear-quadratic-regulator-1910.01249"/></url>
<url><loc>https://scifaro.com/en/abs/emotion-recognition-with-spatial-attention-and-temporal-softmax-pooling-1910.01254</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emotion-recognition-with-spatial-attention-and-temporal-softmax-pooling-1910.01254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emotion-recognition-with-spatial-attention-and-temporal-softmax-pooling-1910.01254"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-of-pretrained-representations-for-few-shot-classification-1910.01319</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-of-pretrained-representations-for-few-shot-classification-1910.01319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-of-pretrained-representations-for-few-shot-classification-1910.01319"/></url>
<url><loc>https://scifaro.com/en/abs/perturbations-are-not-enough-generating-adversarial-examples-with-spatial-distortions-1910.01329</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perturbations-are-not-enough-generating-adversarial-examples-with-spatial-distortions-1910.01329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perturbations-are-not-enough-generating-adversarial-examples-with-spatial-distortions-1910.01329"/></url>
<url><loc>https://scifaro.com/en/abs/pay-attention-leveraging-sequence-models-to-predict-the-useful-life-of-batteries-1910.01347</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pay-attention-leveraging-sequence-models-to-predict-the-useful-life-of-batteries-1910.01347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pay-attention-leveraging-sequence-models-to-predict-the-useful-life-of-batteries-1910.01347"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-efficacy-of-knowledge-distillation-1910.01348</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-efficacy-of-knowledge-distillation-1910.01348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-efficacy-of-knowledge-distillation-1910.01348"/></url>
<url><loc>https://scifaro.com/en/abs/silas-high-performance-explainable-and-verifiable-machine-learning-1910.01382</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/silas-high-performance-explainable-and-verifiable-machine-learning-1910.01382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/silas-high-performance-explainable-and-verifiable-machine-learning-1910.01382"/></url>
<url><loc>https://scifaro.com/en/abs/labelsens-enabling-real-time-sensor-data-labelling-at-the-point-of-collection-on-edge-computing-1910.01400</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/labelsens-enabling-real-time-sensor-data-labelling-at-the-point-of-collection-on-edge-computing-1910.01400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/labelsens-enabling-real-time-sensor-data-labelling-at-the-point-of-collection-on-edge-computing-1910.01400"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-upper-bound-for-unsupervised-domain-adaptation-1910.01409</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-upper-bound-for-unsupervised-domain-adaptation-1910.01409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-upper-bound-for-unsupervised-domain-adaptation-1910.01409"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-multi-cnn-features-in-cnn-rnn-based-dimensional-emotion-recognition-on-the-omg-in-the-wild-dataset-1910.01417</loc><lastmod>2020-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-multi-cnn-features-in-cnn-rnn-based-dimensional-emotion-recognition-on-the-omg-in-the-wild-dataset-1910.01417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-multi-cnn-features-in-cnn-rnn-based-dimensional-emotion-recognition-on-the-omg-in-the-wild-dataset-1910.01417"/></url>
<url><loc>https://scifaro.com/en/abs/the-bouncer-problem-challenges-to-remote-explainability-1910.01432</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-bouncer-problem-challenges-to-remote-explainability-1910.01432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-bouncer-problem-challenges-to-remote-explainability-1910.01432"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-overestimation-bias-in-multi-agent-domains-using-double-centralized-critics-1910.01465</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-overestimation-bias-in-multi-agent-domains-using-double-centralized-critics-1910.01465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-overestimation-bias-in-multi-agent-domains-using-double-centralized-critics-1910.01465"/></url>
<url><loc>https://scifaro.com/en/abs/regularizing-neural-networks-via-stochastic-branch-layers-1910.01467</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizing-neural-networks-via-stochastic-branch-layers-1910.01467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizing-neural-networks-via-stochastic-branch-layers-1910.01467"/></url>
<url><loc>https://scifaro.com/en/abs/blood-lactate-concentration-prediction-in-critical-care-patients-handling-missing-values-1910.01473</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blood-lactate-concentration-prediction-in-critical-care-patients-handling-missing-values-1910.01473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blood-lactate-concentration-prediction-in-critical-care-patients-handling-missing-values-1910.01473"/></url>
<url><loc>https://scifaro.com/en/abs/mlperf-training-benchmark-1910.01500</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mlperf-training-benchmark-1910.01500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mlperf-training-benchmark-1910.01500"/></url>
<url><loc>https://scifaro.com/en/abs/renas-relativistic-evaluation-of-neural-architecture-search-1910.01523</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/renas-relativistic-evaluation-of-neural-architecture-search-1910.01523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/renas-relativistic-evaluation-of-neural-architecture-search-1910.01523"/></url>
<url><loc>https://scifaro.com/en/abs/gated-linear-networks-1910.01526</loc><lastmod>2020-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gated-linear-networks-1910.01526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gated-linear-networks-1910.01526"/></url>
<url><loc>https://scifaro.com/en/abs/on-universal-approximation-by-neural-networks-with-uniform-guarantees-on-approximation-of-infinite-dimensional-maps-1910.01545</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-universal-approximation-by-neural-networks-with-uniform-guarantees-on-approximation-of-infinite-dimensional-maps-1910.01545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-universal-approximation-by-neural-networks-with-uniform-guarantees-on-approximation-of-infinite-dimensional-maps-1910.01545"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-gnss-phase-scintillations-a-machine-learning-approach-1910.01570</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-gnss-phase-scintillations-a-machine-learning-approach-1910.01570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-gnss-phase-scintillations-a-machine-learning-approach-1910.01570"/></url>
<url><loc>https://scifaro.com/en/abs/gdp-generalized-device-placement-for-dataflow-graphs-1910.01578</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gdp-generalized-device-placement-for-dataflow-graphs-1910.01578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gdp-generalized-device-placement-for-dataflow-graphs-1910.01578"/></url>
<url><loc>https://scifaro.com/en/abs/graph-analysis-and-graph-pooling-in-the-spatial-domain-1910.01589</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-analysis-and-graph-pooling-in-the-spatial-domain-1910.01589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-analysis-and-graph-pooling-in-the-spatial-domain-1910.01589"/></url>
<url><loc>https://scifaro.com/en/abs/dpsom-deep-probabilistic-clustering-with-self-organizing-maps-1910.01590</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dpsom-deep-probabilistic-clustering-with-self-organizing-maps-1910.01590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dpsom-deep-probabilistic-clustering-with-self-organizing-maps-1910.01590"/></url>
<url><loc>https://scifaro.com/en/abs/partial-differential-equation-regularization-for-supervised-machine-learning-1910.01612</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-differential-equation-regularization-for-supervised-machine-learning-1910.01612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-differential-equation-regularization-for-supervised-machine-learning-1910.01612"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-linearization-on-quadratic-and-higher-order-approximation-of-wide-neural-networks-1910.01619</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-linearization-on-quadratic-and-higher-order-approximation-of-wide-neural-networks-1910.01619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-linearization-on-quadratic-and-higher-order-approximation-of-wide-neural-networks-1910.01619"/></url>
<url><loc>https://scifaro.com/en/abs/a-function-space-view-of-bounded-norm-infinite-width-relu-nets-the-multivariate-case-1910.01635</loc><lastmod>2019-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-function-space-view-of-bounded-norm-infinite-width-relu-nets-the-multivariate-case-1910.01635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-function-space-view-of-bounded-norm-infinite-width-relu-nets-the-multivariate-case-1910.01635"/></url>
<url><loc>https://scifaro.com/en/abs/harnessing-the-power-of-infinitely-wide-deep-nets-on-small-data-tasks-1910.01663</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harnessing-the-power-of-infinitely-wide-deep-nets-on-small-data-tasks-1910.01663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harnessing-the-power-of-infinitely-wide-deep-nets-on-small-data-tasks-1910.01663"/></url>
<url><loc>https://scifaro.com/en/abs/pure-and-spurious-critical-points-a-geometric-study-of-linear-networks-1910.01671</loc><lastmod>2020-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pure-and-spurious-critical-points-a-geometric-study-of-linear-networks-1910.01671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pure-and-spurious-critical-points-a-geometric-study-of-linear-networks-1910.01671"/></url>
<url><loc>https://scifaro.com/en/abs/fluid-flow-mass-transport-for-generative-networks-1910.01694</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fluid-flow-mass-transport-for-generative-networks-1910.01694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fluid-flow-mass-transport-for-generative-networks-1910.01694"/></url>
<url><loc>https://scifaro.com/en/abs/is-fast-adaptation-all-you-need-1910.01705</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-fast-adaptation-all-you-need-1910.01705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-fast-adaptation-all-you-need-1910.01705"/></url>
<url><loc>https://scifaro.com/en/abs/bounds-for-approximate-regret-matching-algorithms-1910.01706</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounds-for-approximate-regret-matching-algorithms-1910.01706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounds-for-approximate-regret-matching-algorithms-1910.01706"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-batch-deep-reinforcement-learning-algorithms-1910.01708</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-batch-deep-reinforcement-learning-algorithms-1910.01708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-batch-deep-reinforcement-learning-algorithms-1910.01708"/></url>
<url><loc>https://scifaro.com/en/abs/reds-rule-extraction-for-discovering-scenarios-1910.01713</loc><lastmod>2022-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reds-rule-extraction-for-discovering-scenarios-1910.01713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reds-rule-extraction-for-discovering-scenarios-1910.01713"/></url>
<url><loc>https://scifaro.com/en/abs/false-data-injection-attacks-in-internet-of-things-and-deep-learning-enabled-predictive-analytics-1910.01716</loc><lastmod>2019-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/false-data-injection-attacks-in-internet-of-things-and-deep-learning-enabled-predictive-analytics-1910.01716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/false-data-injection-attacks-in-internet-of-things-and-deep-learning-enabled-predictive-analytics-1910.01716"/></url>
<url><loc>https://scifaro.com/en/abs/using-logical-specifications-of-objectives-in-multi-objective-reinforcement-learning-1910.01723</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-logical-specifications-of-objectives-in-multi-objective-reinforcement-learning-1910.01723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-logical-specifications-of-objectives-in-multi-objective-reinforcement-learning-1910.01723"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-inner-loop-meta-learning-1910.01727</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-inner-loop-meta-learning-1910.01727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-inner-loop-meta-learning-1910.01727"/></url>
<url><loc>https://scifaro.com/en/abs/context-aware-graph-attention-networks-1910.01736</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-aware-graph-attention-networks-1910.01736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-aware-graph-attention-networks-1910.01736"/></url>
<url><loc>https://scifaro.com/en/abs/state-representation-learning-from-demonstration-1910.01738</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-representation-learning-from-demonstration-1910.01738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-representation-learning-from-demonstration-1910.01738"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-global-optimization-via-local-bayesian-optimization-1910.01739</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-global-optimization-via-local-bayesian-optimization-1910.01739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-global-optimization-via-local-bayesian-optimization-1910.01739"/></url>
<url><loc>https://scifaro.com/en/abs/antman-sparse-low-rank-compression-to-accelerate-rnn-inference-1910.01740</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/antman-sparse-low-rank-compression-to-accelerate-rnn-inference-1910.01740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/antman-sparse-low-rank-compression-to-accelerate-rnn-inference-1910.01740"/></url>
<url><loc>https://scifaro.com/en/abs/improving-sample-efficiency-in-model-free-reinforcement-learning-from-images-1910.01741</loc><lastmod>2020-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-sample-efficiency-in-model-free-reinforcement-learning-from-images-1910.01741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-sample-efficiency-in-model-free-reinforcement-learning-from-images-1910.01741"/></url>
<url><loc>https://scifaro.com/en/abs/cross-layer-strategic-ensemble-defense-against-adversarial-examples-1910.01742</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-layer-strategic-ensemble-defense-against-adversarial-examples-1910.01742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-layer-strategic-ensemble-defense-against-adversarial-examples-1910.01742"/></url>
<url><loc>https://scifaro.com/en/abs/graph-generation-with-variational-recurrent-neural-network-1910.01743</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-generation-with-variational-recurrent-neural-network-1910.01743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-generation-with-variational-recurrent-neural-network-1910.01743"/></url>
<url><loc>https://scifaro.com/en/abs/causal-induction-from-visual-observations-for-goal-directed-tasks-1910.01751</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-induction-from-visual-observations-for-goal-directed-tasks-1910.01751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-induction-from-visual-observations-for-goal-directed-tasks-1910.01751"/></url>
<url><loc>https://scifaro.com/en/abs/learning-robust-representations-with-graph-denoising-policy-network-1910.01784</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-robust-representations-with-graph-denoising-policy-network-1910.01784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-robust-representations-with-graph-denoising-policy-network-1910.01784"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-out-of-sample-generation-for-unpaired-data-using-trvae-1910.01791</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-out-of-sample-generation-for-unpaired-data-using-trvae-1910.01791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-out-of-sample-generation-for-unpaired-data-using-trvae-1910.01791"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-representation-for-ehr-signals-and-codes-as-patient-status-vector-1910.01803</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-representation-for-ehr-signals-and-codes-as-patient-status-vector-1910.01803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-representation-for-ehr-signals-and-codes-as-patient-status-vector-1910.01803"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-duality-between-network-flows-and-network-lasso-1910.01805</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-duality-between-network-flows-and-network-lasso-1910.01805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-duality-between-network-flows-and-network-lasso-1910.01805"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-abstract-visual-reasoning-with-spectral-features-1910.01833</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-abstract-visual-reasoning-with-spectral-features-1910.01833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-abstract-visual-reasoning-with-spectral-features-1910.01833"/></url>
<url><loc>https://scifaro.com/en/abs/enriching-visual-with-verbal-explanations-for-relational-concepts-combining-lime-with-aleph-1910.01837</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enriching-visual-with-verbal-explanations-for-relational-concepts-combining-lime-with-aleph-1910.01837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enriching-visual-with-verbal-explanations-for-relational-concepts-combining-lime-with-aleph-1910.01837"/></url>
<url><loc>https://scifaro.com/en/abs/the-complexity-of-finding-stationary-points-with-stochastic-gradient-descent-1910.01845</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-complexity-of-finding-stationary-points-with-stochastic-gradient-descent-1910.01845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-complexity-of-finding-stationary-points-with-stochastic-gradient-descent-1910.01845"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-shortest-paths-with-net-flows-and-capacity-constraints-1910.01849</loc><lastmod>2021-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-shortest-paths-with-net-flows-and-capacity-constraints-1910.01849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-shortest-paths-with-net-flows-and-capacity-constraints-1910.01849"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-arithmetic-extrapolation-performance-1910.01888</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-arithmetic-extrapolation-performance-1910.01888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-arithmetic-extrapolation-performance-1910.01888"/></url>
<url><loc>https://scifaro.com/en/abs/attacking-vision-based-perception-in-end-to-end-autonomous-driving-models-1910.01907</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attacking-vision-based-perception-in-end-to-end-autonomous-driving-models-1910.01907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attacking-vision-based-perception-in-end-to-end-autonomous-driving-models-1910.01907"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-classical-bagging-with-modern-transfer-learning-for-on-the-fly-disaster-damage-detector-1910.01911</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-classical-bagging-with-modern-transfer-learning-for-on-the-fly-disaster-damage-detector-1910.01911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-classical-bagging-with-modern-transfer-learning-for-on-the-fly-disaster-damage-detector-1910.01911"/></url>
<url><loc>https://scifaro.com/en/abs/if-maxent-rl-is-the-answer-what-is-the-question-1910.01913</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/if-maxent-rl-is-the-answer-what-is-the-question-1910.01913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/if-maxent-rl-is-the-answer-what-is-the-question-1910.01913"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-joint-variational-graph-autoencoders-1910.01963</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-joint-variational-graph-autoencoders-1910.01963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-joint-variational-graph-autoencoders-1910.01963"/></url>
<url><loc>https://scifaro.com/en/abs/clustered-federated-learning-model-agnostic-distributed-multi-task-optimization-under-privacy-constraints-1910.01991</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustered-federated-learning-model-agnostic-distributed-multi-task-optimization-under-privacy-constraints-1910.01991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustered-federated-learning-model-agnostic-distributed-multi-task-optimization-under-privacy-constraints-1910.01991"/></url>
<url><loc>https://scifaro.com/en/abs/sndcnn-self-normalizing-deep-cnns-with-scaled-exponential-linear-units-for-speech-recognition-1910.01992</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sndcnn-self-normalizing-deep-cnns-with-scaled-exponential-linear-units-for-speech-recognition-1910.01992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sndcnn-self-normalizing-deep-cnns-with-scaled-exponential-linear-units-for-speech-recognition-1910.01992"/></url>
<url><loc>https://scifaro.com/en/abs/ppgan-privacy-preserving-generative-adversarial-network-1910.02007</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ppgan-privacy-preserving-generative-adversarial-network-1910.02007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ppgan-privacy-preserving-generative-adversarial-network-1910.02007"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-networks-for-failure-prediction-1910.02034</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-failure-prediction-1910.02034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-failure-prediction-1910.02034"/></url>
<url><loc>https://scifaro.com/en/abs/manufacturing-dispatching-using-reinforcement-and-transfer-learning-1910.02035</loc><lastmod>2019-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manufacturing-dispatching-using-reinforcement-and-transfer-learning-1910.02035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manufacturing-dispatching-using-reinforcement-and-transfer-learning-1910.02035"/></url>
<url><loc>https://scifaro.com/en/abs/zero-memory-optimizations-toward-training-trillion-parameter-models-1910.02054</loc><lastmod>2020-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-memory-optimizations-toward-training-trillion-parameter-models-1910.02054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-memory-optimizations-toward-training-trillion-parameter-models-1910.02054"/></url>
<url><loc>https://scifaro.com/en/abs/i-m-sorry-dave-i-m-afraid-i-can-t-do-that-deep-q-learning-from-forbidden-action-1910.02078</loc><lastmod>2020-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/i-m-sorry-dave-i-m-afraid-i-can-t-do-that-deep-q-learning-from-forbidden-action-1910.02078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/i-m-sorry-dave-i-m-afraid-i-can-t-do-that-deep-q-learning-from-forbidden-action-1910.02078"/></url>
<url><loc>https://scifaro.com/en/abs/fused-gromov-wasserstein-alignment-for-hawkes-processes-1910.02096</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fused-gromov-wasserstein-alignment-for-hawkes-processes-1910.02096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fused-gromov-wasserstein-alignment-for-hawkes-processes-1910.02096"/></url>
<url><loc>https://scifaro.com/en/abs/group-based-fair-learning-leads-to-counter-intuitive-predictions-1910.02097</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-based-fair-learning-leads-to-counter-intuitive-predictions-1910.02097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-based-fair-learning-leads-to-counter-intuitive-predictions-1910.02097"/></url>
<url><loc>https://scifaro.com/en/abs/social-learning-in-multi-agent-multi-armed-bandits-1910.02100</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/social-learning-in-multi-agent-multi-armed-bandits-1910.02100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/social-learning-in-multi-agent-multi-armed-bandits-1910.02100"/></url>
<url><loc>https://scifaro.com/en/abs/genn-predicting-correlated-drug-drug-interactions-with-graph-energy-neural-networks-1910.02107</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/genn-predicting-correlated-drug-drug-interactions-with-graph-energy-neural-networks-1910.02107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/genn-predicting-correlated-drug-drug-interactions-with-graph-energy-neural-networks-1910.02107"/></url>
<url><loc>https://scifaro.com/en/abs/confederated-machine-learning-on-horizontally-and-vertically-separated-medical-data-for-large-scale-health-system-intelligence-1910.02109</loc><lastmod>2020-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confederated-machine-learning-on-horizontally-and-vertically-separated-medical-data-for-large-scale-health-system-intelligence-1910.02109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confederated-machine-learning-on-horizontally-and-vertically-separated-medical-data-for-large-scale-health-system-intelligence-1910.02109"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-stochastic-channel-based-federated-learning-with-neural-network-pruning-1910.02115</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-stochastic-channel-based-federated-learning-with-neural-network-pruning-1910.02115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-stochastic-channel-based-federated-learning-with-neural-network-pruning-1910.02115"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-learning-of-deep-neural-networks-using-independent-subnet-training-1910.02120</loc><lastmod>2022-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-learning-of-deep-neural-networks-using-independent-subnet-training-1910.02120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-learning-of-deep-neural-networks-using-independent-subnet-training-1910.02120"/></url>
<url><loc>https://scifaro.com/en/abs/requirements-for-developing-robust-neural-networks-1910.02125</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/requirements-for-developing-robust-neural-networks-1910.02125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/requirements-for-developing-robust-neural-networks-1910.02125"/></url>
<url><loc>https://scifaro.com/en/abs/risks-of-using-non-verified-open-data-a-case-study-on-using-machine-learning-techniques-for-predicting-pregnancy-outcomes-in-india-1910.02136</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risks-of-using-non-verified-open-data-a-case-study-on-using-machine-learning-techniques-for-predicting-pregnancy-outcomes-in-india-1910.02136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risks-of-using-non-verified-open-data-a-case-study-on-using-machine-learning-techniques-for-predicting-pregnancy-outcomes-in-india-1910.02136"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitz-learning-for-signal-recovery-1910.02142</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitz-learning-for-signal-recovery-1910.02142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitz-learning-for-signal-recovery-1910.02142"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-based-algorithms-for-image-classification-1910.02150</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-based-algorithms-for-image-classification-1910.02150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-based-algorithms-for-image-classification-1910.02150"/></url>
<url><loc>https://scifaro.com/en/abs/the-sparse-reverse-of-principal-component-analysis-for-fast-low-rank-matrix-completion-1910.02155</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-sparse-reverse-of-principal-component-analysis-for-fast-low-rank-matrix-completion-1910.02155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-sparse-reverse-of-principal-component-analysis-for-fast-low-rank-matrix-completion-1910.02155"/></url>
<url><loc>https://scifaro.com/en/abs/straight-through-estimator-as-projected-wasserstein-gradient-flow-1910.02176</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/straight-through-estimator-as-projected-wasserstein-gradient-flow-1910.02176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/straight-through-estimator-as-projected-wasserstein-gradient-flow-1910.02176"/></url>
<url><loc>https://scifaro.com/en/abs/on-tractable-computation-of-expected-predictions-1910.02182</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-tractable-computation-of-expected-predictions-1910.02182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-tractable-computation-of-expected-predictions-1910.02182"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-embedding-on-textual-networks-via-a-gaussian-process-1910.02187</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-embedding-on-textual-networks-via-a-gaussian-process-1910.02187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-embedding-on-textual-networks-via-a-gaussian-process-1910.02187"/></url>
<url><loc>https://scifaro.com/en/abs/striving-for-simplicity-and-performance-in-off-policy-drl-output-normalization-and-non-uniform-sampling-1910.02208</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/striving-for-simplicity-and-performance-in-off-policy-drl-output-normalization-and-non-uniform-sampling-1910.02208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/striving-for-simplicity-and-performance-in-off-policy-drl-output-normalization-and-non-uniform-sampling-1910.02208"/></url>
<url><loc>https://scifaro.com/en/abs/juice-a-large-scale-distantly-supervised-dataset-for-open-domain-context-based-code-generation-1910.02216</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/juice-a-large-scale-distantly-supervised-dataset-for-open-domain-context-based-code-generation-1910.02216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/juice-a-large-scale-distantly-supervised-dataset-for-open-domain-context-based-code-generation-1910.02216"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-graphical-lasso-based-approach-towards-segmentation-analysis-in-energy-game-theoretic-frameworks-1910.02217</loc><lastmod>2022-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-graphical-lasso-based-approach-towards-segmentation-analysis-in-energy-game-theoretic-frameworks-1910.02217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-graphical-lasso-based-approach-towards-segmentation-analysis-in-energy-game-theoretic-frameworks-1910.02217"/></url>
<url><loc>https://scifaro.com/en/abs/transductive-episodic-wise-adaptive-metric-for-few-shot-learning-1910.02224</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transductive-episodic-wise-adaptive-metric-for-few-shot-learning-1910.02224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transductive-episodic-wise-adaptive-metric-for-few-shot-learning-1910.02224"/></url>
<url><loc>https://scifaro.com/en/abs/yet-another-but-more-efficient-black-box-adversarial-attack-tiling-and-evolution-strategies-1910.02244</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/yet-another-but-more-efficient-black-box-adversarial-attack-tiling-and-evolution-strategies-1910.02244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/yet-another-but-more-efficient-black-box-adversarial-attack-tiling-and-evolution-strategies-1910.02244"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-membership-privacy-in-stochastic-gradient-langevin-dynamics-1910.02249</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-membership-privacy-in-stochastic-gradient-langevin-dynamics-1910.02249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-membership-privacy-in-stochastic-gradient-langevin-dynamics-1910.02249"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-tweet-detection-in-emerging-disaster-events-1910.02290</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-tweet-detection-in-emerging-disaster-events-1910.02290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-tweet-detection-in-emerging-disaster-events-1910.02290"/></url>
<url><loc>https://scifaro.com/en/abs/change-detection-in-noisy-dynamic-networks-a-spectral-embedding-approach-1910.02301</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/change-detection-in-noisy-dynamic-networks-a-spectral-embedding-approach-1910.02301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/change-detection-in-noisy-dynamic-networks-a-spectral-embedding-approach-1910.02301"/></url>
<url><loc>https://scifaro.com/en/abs/multiplierless-and-sparse-machine-learning-based-on-margin-propagation-networks-1910.02304</loc><lastmod>2020-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiplierless-and-sparse-machine-learning-based-on-margin-propagation-networks-1910.02304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiplierless-and-sparse-machine-learning-based-on-margin-propagation-networks-1910.02304"/></url>
<url><loc>https://scifaro.com/en/abs/expertmatcher-automating-ml-model-selection-for-users-in-resource-constrained-countries-1910.02312</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expertmatcher-automating-ml-model-selection-for-users-in-resource-constrained-countries-1910.02312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expertmatcher-automating-ml-model-selection-for-users-in-resource-constrained-countries-1910.02312"/></url>
<url><loc>https://scifaro.com/en/abs/the-impact-of-data-preparation-on-the-fairness-of-software-systems-1910.02321</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-impact-of-data-preparation-on-the-fairness-of-software-systems-1910.02321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-impact-of-data-preparation-on-the-fairness-of-software-systems-1910.02321"/></url>
<url><loc>https://scifaro.com/en/abs/towards-deployment-of-robust-ai-agents-for-human-machine-partnerships-1910.02330</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-deployment-of-robust-ai-agents-for-human-machine-partnerships-1910.02330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-deployment-of-robust-ai-agents-for-human-machine-partnerships-1910.02330"/></url>
<url><loc>https://scifaro.com/en/abs/content-based-features-to-rank-influential-hidden-services-of-the-tor-darknet-1910.02332</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/content-based-features-to-rank-influential-hidden-services-of-the-tor-darknet-1910.02332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/content-based-features-to-rank-influential-hidden-services-of-the-tor-darknet-1910.02332"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-gaussian-graphical-models-1910.02342</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-gaussian-graphical-models-1910.02342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-gaussian-graphical-models-1910.02342"/></url>
<url><loc>https://scifaro.com/en/abs/neural-multisensory-scene-inference-1910.02344</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-multisensory-scene-inference-1910.02344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-multisensory-scene-inference-1910.02344"/></url>
<url><loc>https://scifaro.com/en/abs/operational-calibration-debugging-confidence-errors-for-dnns-in-the-field-1910.02352</loc><lastmod>2020-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/operational-calibration-debugging-confidence-errors-for-dnns-in-the-field-1910.02352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/operational-calibration-debugging-confidence-errors-for-dnns-in-the-field-1910.02352"/></url>
<url><loc>https://scifaro.com/en/abs/which-ads-to-show-advertisement-image-assessment-with-auxiliary-information-via-multi-step-modality-fusion-1910.02358</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-ads-to-show-advertisement-image-assessment-with-auxiliary-information-via-multi-step-modality-fusion-1910.02358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-ads-to-show-advertisement-image-assessment-with-auxiliary-information-via-multi-step-modality-fusion-1910.02358"/></url>
<url><loc>https://scifaro.com/en/abs/splitting-steepest-descent-for-growing-neural-architectures-1910.02366</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/splitting-steepest-descent-for-growing-neural-architectures-1910.02366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/splitting-steepest-descent-for-growing-neural-architectures-1910.02366"/></url>
<url><loc>https://scifaro.com/en/abs/graphzoom-a-multi-level-spectral-approach-for-accurate-and-scalable-graph-embedding-1910.02370</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphzoom-a-multi-level-spectral-approach-for-accurate-and-scalable-graph-embedding-1910.02370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphzoom-a-multi-level-spectral-approach-for-accurate-and-scalable-graph-embedding-1910.02370"/></url>
<url><loc>https://scifaro.com/en/abs/scalor-generative-world-models-with-scalable-object-representations-1910.02384</loc><lastmod>2020-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalor-generative-world-models-with-scalable-object-representations-1910.02384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalor-generative-world-models-with-scalable-object-representations-1910.02384"/></url>
<url><loc>https://scifaro.com/en/abs/migration-through-machine-learning-lens-predicting-sexual-and-reproductive-health-vulnerability-of-young-migrants-1910.02390</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/migration-through-machine-learning-lens-predicting-sexual-and-reproductive-health-vulnerability-of-young-migrants-1910.02390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/migration-through-machine-learning-lens-predicting-sexual-and-reproductive-health-vulnerability-of-young-migrants-1910.02390"/></url>
<url><loc>https://scifaro.com/en/abs/searching-for-an-un-stable-equilibrium-experiments-in-training-generative-models-without-data-1910.02409</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/searching-for-an-un-stable-equilibrium-experiments-in-training-generative-models-without-data-1910.02409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/searching-for-an-un-stable-equilibrium-experiments-in-training-generative-models-without-data-1910.02409"/></url>
<url><loc>https://scifaro.com/en/abs/transforming-the-output-of-gans-by-fine-tuning-them-with-features-from-different-datasets-1910.02411</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transforming-the-output-of-gans-by-fine-tuning-them-with-features-from-different-datasets-1910.02411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transforming-the-output-of-gans-by-fine-tuning-them-with-features-from-different-datasets-1910.02411"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-development-of-personalized-human-head-model-with-non-uniform-conductivity-for-brain-stimulation-1910.02420</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-development-of-personalized-human-head-model-with-non-uniform-conductivity-for-brain-stimulation-1910.02420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-development-of-personalized-human-head-model-with-non-uniform-conductivity-for-brain-stimulation-1910.02420"/></url>
<url><loc>https://scifaro.com/en/abs/on-universal-equivariant-set-networks-1910.02421</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-universal-equivariant-set-networks-1910.02421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-universal-equivariant-set-networks-1910.02421"/></url>
<url><loc>https://scifaro.com/en/abs/chaosnet-a-chaos-based-artificial-neural-network-architecture-for-classification-1910.02423</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chaosnet-a-chaos-based-artificial-neural-network-architecture-for-classification-1910.02423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chaosnet-a-chaos-based-artificial-neural-network-architecture-for-classification-1910.02423"/></url>
<url><loc>https://scifaro.com/en/abs/structured-object-aware-physics-prediction-for-video-modeling-and-planning-1910.02425</loc><lastmod>2020-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-object-aware-physics-prediction-for-video-modeling-and-planning-1910.02425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-object-aware-physics-prediction-for-video-modeling-and-planning-1910.02425"/></url>
<url><loc>https://scifaro.com/en/abs/biased-aggregation-rollout-and-enhanced-policy-improvement-for-reinforcement-learning-1910.02426</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biased-aggregation-rollout-and-enhanced-policy-improvement-for-reinforcement-learning-1910.02426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biased-aggregation-rollout-and-enhanced-policy-improvement-for-reinforcement-learning-1910.02426"/></url>
<url><loc>https://scifaro.com/en/abs/mobile-app-user-attribute-prediction-by-heterogeneous-information-network-modeling-1910.02450</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mobile-app-user-attribute-prediction-by-heterogeneous-information-network-modeling-1910.02450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mobile-app-user-attribute-prediction-by-heterogeneous-information-network-modeling-1910.02450"/></url>
<url><loc>https://scifaro.com/en/abs/auto-rotating-perceptrons-1910.02483</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-rotating-perceptrons-1910.02483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-rotating-perceptrons-1910.02483"/></url>
<url><loc>https://scifaro.com/en/abs/remind-your-neural-network-to-prevent-catastrophic-forgetting-1910.02509</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/remind-your-neural-network-to-prevent-catastrophic-forgetting-1910.02509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/remind-your-neural-network-to-prevent-catastrophic-forgetting-1910.02509"/></url>
<url><loc>https://scifaro.com/en/abs/fis-gan-gan-with-flow-based-importance-sampling-1910.02519</loc><lastmod>2022-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fis-gan-gan-with-flow-based-importance-sampling-1910.02519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fis-gan-gan-with-flow-based-importance-sampling-1910.02519"/></url>
<url><loc>https://scifaro.com/en/abs/using-deep-learning-and-machine-learning-to-detect-epileptic-seizure-with-electroencephalography-eeg-data-1910.02544</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-deep-learning-and-machine-learning-to-detect-epileptic-seizure-with-electroencephalography-eeg-data-1910.02544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-deep-learning-and-machine-learning-to-detect-epileptic-seizure-with-electroencephalography-eeg-data-1910.02544"/></url>
<url><loc>https://scifaro.com/en/abs/early-prediction-of-30-day-icu-re-admissions-using-natural-language-processing-and-machine-learning-1910.02545</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-prediction-of-30-day-icu-re-admissions-using-natural-language-processing-and-machine-learning-1910.02545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-prediction-of-30-day-icu-re-admissions-using-natural-language-processing-and-machine-learning-1910.02545"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-kernel-methods-for-node-representation-learning-on-graphs-1910.02548</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-kernel-methods-for-node-representation-learning-on-graphs-1910.02548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-kernel-methods-for-node-representation-learning-on-graphs-1910.02548"/></url>
<url><loc>https://scifaro.com/en/abs/soft-label-dataset-distillation-and-text-dataset-distillation-1910.02551</loc><lastmod>2022-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-label-dataset-distillation-and-text-dataset-distillation-1910.02551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-label-dataset-distillation-and-text-dataset-distillation-1910.02551"/></url>
<url><loc>https://scifaro.com/en/abs/pushing-the-limits-of-rnn-compression-1910.02558</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pushing-the-limits-of-rnn-compression-1910.02558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pushing-the-limits-of-rnn-compression-1910.02558"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-of-ehr-data-via-graph-based-medical-entity-embedding-1910.02574</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-of-ehr-data-via-graph-based-medical-entity-embedding-1910.02574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-of-ehr-data-via-graph-based-medical-entity-embedding-1910.02574"/></url>
<url><loc>https://scifaro.com/en/abs/pyodds-an-end-to-end-outlier-detection-system-1910.02575</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pyodds-an-end-to-end-outlier-detection-system-1910.02575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pyodds-an-end-to-end-outlier-detection-system-1910.02575"/></url>
<url><loc>https://scifaro.com/en/abs/differential-privacy-enabled-federated-learning-for-sensitive-health-data-1910.02578</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-privacy-enabled-federated-learning-for-sensitive-health-data-1910.02578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-privacy-enabled-federated-learning-for-sensitive-health-data-1910.02578"/></url>
<url><loc>https://scifaro.com/en/abs/deep-evidential-regression-1910.02600</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-evidential-regression-1910.02600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-evidential-regression-1910.02600"/></url>
<url><loc>https://scifaro.com/en/abs/softmax-is-not-an-artificial-trick-an-information-theoretic-view-of-softmax-in-neural-networks-1910.02629</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/softmax-is-not-an-artificial-trick-an-information-theoretic-view-of-softmax-in-neural-networks-1910.02629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/softmax-is-not-an-artificial-trick-an-information-theoretic-view-of-softmax-in-neural-networks-1910.02629"/></url>
<url><loc>https://scifaro.com/en/abs/deep-hyperedges-a-framework-for-transductive-and-inductive-learning-on-hypergraphs-1910.02633</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-hyperedges-a-framework-for-transductive-and-inductive-learning-on-hypergraphs-1910.02633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-hyperedges-a-framework-for-transductive-and-inductive-learning-on-hypergraphs-1910.02633"/></url>
<url><loc>https://scifaro.com/en/abs/a-decentralized-communication-policy-for-multi-agent-multi-armed-bandit-problems-1910.02635</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-decentralized-communication-policy-for-multi-agent-multi-armed-bandit-problems-1910.02635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-decentralized-communication-policy-for-multi-agent-multi-armed-bandit-problems-1910.02635"/></url>
<url><loc>https://scifaro.com/en/abs/checkmate-breaking-the-memory-wall-with-optimal-tensor-rematerialization-1910.02653</loc><lastmod>2020-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/checkmate-breaking-the-memory-wall-with-optimal-tensor-rematerialization-1910.02653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/checkmate-breaking-the-memory-wall-with-optimal-tensor-rematerialization-1910.02653"/></url>
<url><loc>https://scifaro.com/en/abs/deep-kernel-learning-via-random-fourier-features-1910.02660</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-kernel-learning-via-random-fourier-features-1910.02660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-kernel-learning-via-random-fourier-features-1910.02660"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-disentanglement-of-neural-networks-by-extracting-class-specific-subnetwork-1910.02673</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-disentanglement-of-neural-networks-by-extracting-class-specific-subnetwork-1910.02673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-disentanglement-of-neural-networks-by-extracting-class-specific-subnetwork-1910.02673"/></url>
<url><loc>https://scifaro.com/en/abs/effective-stabilized-self-training-on-few-labeled-graph-data-1910.02684</loc><lastmod>2023-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-stabilized-self-training-on-few-labeled-graph-data-1910.02684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-stabilized-self-training-on-few-labeled-graph-data-1910.02684"/></url>
<url><loc>https://scifaro.com/en/abs/irregular-convolutional-auto-encoder-on-point-clouds-1910.02686</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/irregular-convolutional-auto-encoder-on-point-clouds-1910.02686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/irregular-convolutional-auto-encoder-on-point-clouds-1910.02686"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-in-neural-networks-1910.02718</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-in-neural-networks-1910.02718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-in-neural-networks-1910.02718"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-integral-representations-with-the-relu-activation-function-1910.02743</loc><lastmod>2020-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-integral-representations-with-the-relu-activation-function-1910.02743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-integral-representations-with-the-relu-activation-function-1910.02743"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-probability-guided-supervised-machine-learning-on-non-differentiable-spaces-1910.02758</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-probability-guided-supervised-machine-learning-on-non-differentiable-spaces-1910.02758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-probability-guided-supervised-machine-learning-on-non-differentiable-spaces-1910.02758"/></url>
<url><loc>https://scifaro.com/en/abs/negative-sampling-in-variational-autoencoders-1910.02760</loc><lastmod>2022-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/negative-sampling-in-variational-autoencoders-1910.02760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/negative-sampling-in-variational-autoencoders-1910.02760"/></url>
<url><loc>https://scifaro.com/en/abs/buzz-buffer-zones-for-defending-adversarial-examples-in-image-classification-1910.02785</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/buzz-buffer-zones-for-defending-adversarial-examples-in-image-classification-1910.02785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/buzz-buffer-zones-for-defending-adversarial-examples-in-image-classification-1910.02785"/></url>
<url><loc>https://scifaro.com/en/abs/semantic-preserving-generative-adversarial-models-1910.02804</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantic-preserving-generative-adversarial-models-1910.02804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantic-preserving-generative-adversarial-models-1910.02804"/></url>
<url><loc>https://scifaro.com/en/abs/a-mathematical-theory-of-cooperative-communication-1910.02822</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mathematical-theory-of-cooperative-communication-1910.02822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mathematical-theory-of-cooperative-communication-1910.02822"/></url>
<url><loc>https://scifaro.com/en/abs/self-paced-contextual-reinforcement-learning-1910.02826</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-paced-contextual-reinforcement-learning-1910.02826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-paced-contextual-reinforcement-learning-1910.02826"/></url>
<url><loc>https://scifaro.com/en/abs/open-set-medical-diagnosis-1910.02830</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-set-medical-diagnosis-1910.02830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-set-medical-diagnosis-1910.02830"/></url>
<url><loc>https://scifaro.com/en/abs/a-learnable-safety-measure-1910.02835</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-learnable-safety-measure-1910.02835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-learnable-safety-measure-1910.02835"/></url>
<url><loc>https://scifaro.com/en/abs/farkas-layers-don-t-shift-the-data-fix-the-geometry-1910.02840</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/farkas-layers-don-t-shift-the-data-fix-the-geometry-1910.02840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/farkas-layers-don-t-shift-the-data-fix-the-geometry-1910.02840"/></url>
<url><loc>https://scifaro.com/en/abs/the-asymptotic-spectrum-of-the-hessian-of-dnn-throughout-training-1910.02875</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-asymptotic-spectrum-of-the-hessian-of-dnn-throughout-training-1910.02875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-asymptotic-spectrum-of-the-hessian-of-dnn-throughout-training-1910.02875"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-structured-hierarchical-grammar-representations-of-actions-1910.02876</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-structured-hierarchical-grammar-representations-of-actions-1910.02876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-structured-hierarchical-grammar-representations-of-actions-1910.02876"/></url>
<url><loc>https://scifaro.com/en/abs/multi-step-greedy-reinforcement-learning-algorithms-1910.02919</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-step-greedy-reinforcement-learning-algorithms-1910.02919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-step-greedy-reinforcement-learning-algorithms-1910.02919"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-active-learning-and-human-in-the-loop-deep-learning-for-medical-image-analysis-1910.02923</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-active-learning-and-human-in-the-loop-deep-learning-for-medical-image-analysis-1910.02923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-active-learning-and-human-in-the-loop-deep-learning-for-medical-image-analysis-1910.02923"/></url>
<url><loc>https://scifaro.com/en/abs/algorithm-dependent-generalization-bounds-for-overparameterized-deep-residual-networks-1910.02934</loc><lastmod>2019-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithm-dependent-generalization-bounds-for-overparameterized-deep-residual-networks-1910.02934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithm-dependent-generalization-bounds-for-overparameterized-deep-residual-networks-1910.02934"/></url>
<url><loc>https://scifaro.com/en/abs/automated-enriched-medical-concept-generation-for-chest-x-ray-images-1910.02935</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-enriched-medical-concept-generation-for-chest-x-ray-images-1910.02935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-enriched-medical-concept-generation-for-chest-x-ray-images-1910.02935"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-multivariate-forecasting-with-low-rank-gaussian-copula-processes-1910.03002</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-multivariate-forecasting-with-low-rank-gaussian-copula-processes-1910.03002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-multivariate-forecasting-with-low-rank-gaussian-copula-processes-1910.03002"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-optimal-control-as-approximate-input-inference-1910.03003</loc><lastmod>2020-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-optimal-control-as-approximate-input-inference-1910.03003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-optimal-control-as-approximate-input-inference-1910.03003"/></url>
<url><loc>https://scifaro.com/en/abs/is-a-good-representation-sufficient-for-sample-efficient-reinforcement-learning-1910.03016</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-a-good-representation-sufficient-for-sample-efficient-reinforcement-learning-1910.03016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-a-good-representation-sufficient-for-sample-efficient-reinforcement-learning-1910.03016"/></url>
<url><loc>https://scifaro.com/en/abs/graph-few-shot-learning-via-knowledge-transfer-1910.03053</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-few-shot-learning-via-knowledge-transfer-1910.03053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-few-shot-learning-via-knowledge-transfer-1910.03053"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-approach-to-handle-mixed-data-for-inferring-causal-graphs-1910.03055</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-approach-to-handle-mixed-data-for-inferring-causal-graphs-1910.03055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-approach-to-handle-mixed-data-for-inferring-causal-graphs-1910.03055"/></url>
<url><loc>https://scifaro.com/en/abs/sequence-embeddings-help-to-identify-fraudulent-cases-in-healthcare-insurance-1910.03072</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequence-embeddings-help-to-identify-fraudulent-cases-in-healthcare-insurance-1910.03072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequence-embeddings-help-to-identify-fraudulent-cases-in-healthcare-insurance-1910.03072"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-interpretability-and-evaluation-of-graph-representation-learning-1910.03081</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-interpretability-and-evaluation-of-graph-representation-learning-1910.03081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-interpretability-and-evaluation-of-graph-representation-learning-1910.03081"/></url>
<url><loc>https://scifaro.com/en/abs/combining-no-regret-and-q-learning-1910.03094</loc><lastmod>2022-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-no-regret-and-q-learning-1910.03094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-no-regret-and-q-learning-1910.03094"/></url>
<url><loc>https://scifaro.com/en/abs/energy-aware-neural-architecture-optimization-with-fast-splitting-steepest-descent-1910.03103</loc><lastmod>2020-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-aware-neural-architecture-optimization-with-fast-splitting-steepest-descent-1910.03103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-aware-neural-architecture-optimization-with-fast-splitting-steepest-descent-1910.03103"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-scalable-uncertainty-estimation-methods-for-dnn-based-molecular-property-prediction-1910.03127</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-scalable-uncertainty-estimation-methods-for-dnn-based-molecular-property-prediction-1910.03127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-scalable-uncertainty-estimation-methods-for-dnn-based-molecular-property-prediction-1910.03127"/></url>
<url><loc>https://scifaro.com/en/abs/generating-valid-euclidean-distance-matrices-1910.03131</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-valid-euclidean-distance-matrices-1910.03131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-valid-euclidean-distance-matrices-1910.03131"/></url>
<url><loc>https://scifaro.com/en/abs/sample-elicitation-1910.03155</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-elicitation-1910.03155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-elicitation-1910.03155"/></url>
<url><loc>https://scifaro.com/en/abs/mim-mutual-information-machine-1910.03175</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mim-mutual-information-machine-1910.03175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mim-mutual-information-machine-1910.03175"/></url>
<url><loc>https://scifaro.com/en/abs/read-highlight-and-summarize-a-hierarchical-neural-semantic-encoder-based-approach-1910.03177</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/read-highlight-and-summarize-a-hierarchical-neural-semantic-encoder-based-approach-1910.03177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/read-highlight-and-summarize-a-hierarchical-neural-semantic-encoder-based-approach-1910.03177"/></url>
<url><loc>https://scifaro.com/en/abs/deeponet-learning-nonlinear-operators-for-identifying-differential-equations-based-on-the-universal-approximation-theorem-of-operators-1910.03193</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeponet-learning-nonlinear-operators-for-identifying-differential-equations-based-on-the-universal-approximation-theorem-of-operators-1910.03193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeponet-learning-nonlinear-operators-for-identifying-differential-equations-based-on-the-universal-approximation-theorem-of-operators-1910.03193"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-federated-learning-via-momentum-gradient-descent-1910.03197</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-federated-learning-via-momentum-gradient-descent-1910.03197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-federated-learning-via-momentum-gradient-descent-1910.03197"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-sparsification-for-deep-neural-networks-1910.03201</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-sparsification-for-deep-neural-networks-1910.03201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-sparsification-for-deep-neural-networks-1910.03201"/></url>
<url><loc>https://scifaro.com/en/abs/random-forest-model-identifies-serve-strength-as-a-key-predictor-of-tennis-match-outcome-1910.03203</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-forest-model-identifies-serve-strength-as-a-key-predictor-of-tennis-match-outcome-1910.03203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-forest-model-identifies-serve-strength-as-a-key-predictor-of-tennis-match-outcome-1910.03203"/></url>
<url><loc>https://scifaro.com/en/abs/ngboost-natural-gradient-boosting-for-probabilistic-prediction-1910.03225</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ngboost-natural-gradient-boosting-for-probabilistic-prediction-1910.03225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ngboost-natural-gradient-boosting-for-probabilistic-prediction-1910.03225"/></url>
<url><loc>https://scifaro.com/en/abs/peer-loss-functions-learning-from-noisy-labels-without-knowing-noise-rates-1910.03231</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/peer-loss-functions-learning-from-noisy-labels-without-knowing-noise-rates-1910.03231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/peer-loss-functions-learning-from-noisy-labels-without-knowing-noise-rates-1910.03231"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-model-for-long-term-power-generation-forecasting-at-bidding-zone-level-1910.03276</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-model-for-long-term-power-generation-forecasting-at-bidding-zone-level-1910.03276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-model-for-long-term-power-generation-forecasting-at-bidding-zone-level-1910.03276"/></url>
<url><loc>https://scifaro.com/en/abs/deep-value-model-predictive-control-1910.03358</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-value-model-predictive-control-1910.03358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-value-model-predictive-control-1910.03358"/></url>
<url><loc>https://scifaro.com/en/abs/improved-regret-bounds-for-projection-free-bandit-convex-optimization-1910.03374</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-regret-bounds-for-projection-free-bandit-convex-optimization-1910.03374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-regret-bounds-for-projection-free-bandit-convex-optimization-1910.03374"/></url>
<url><loc>https://scifaro.com/en/abs/atl-autonomous-knowledge-transfer-from-many-streaming-processes-1910.03434</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/atl-autonomous-knowledge-transfer-from-many-streaming-processes-1910.03434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/atl-autonomous-knowledge-transfer-from-many-streaming-processes-1910.03434"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-construction-of-multi-layer-perceptron-network-from-streaming-examples-1910.03437</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-construction-of-multi-layer-perceptron-network-from-streaming-examples-1910.03437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-construction-of-multi-layer-perceptron-network-from-streaming-examples-1910.03437"/></url>
<url><loc>https://scifaro.com/en/abs/can-we-distinguish-machine-learning-from-human-learning-1910.03466</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-we-distinguish-machine-learning-from-human-learning-1910.03466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-we-distinguish-machine-learning-from-human-learning-1910.03466"/></url>
<url><loc>https://scifaro.com/en/abs/directional-adversarial-training-for-cost-sensitive-deep-learning-classification-applications-1910.03468</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directional-adversarial-training-for-cost-sensitive-deep-learning-classification-applications-1910.03468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directional-adversarial-training-for-cost-sensitive-deep-learning-classification-applications-1910.03468"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-nonlinear-dynamical-systems-with-multiple-time-scales-and-long-range-dependencies-1910.03471</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-nonlinear-dynamical-systems-with-multiple-time-scales-and-long-range-dependencies-1910.03471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-nonlinear-dynamical-systems-with-multiple-time-scales-and-long-range-dependencies-1910.03471"/></url>
<url><loc>https://scifaro.com/en/abs/learning-event-representations-for-temporal-segmentation-of-image-sequences-by-dynamic-graph-embedding-1910.03483</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-event-representations-for-temporal-segmentation-of-image-sequences-by-dynamic-graph-embedding-1910.03483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-event-representations-for-temporal-segmentation-of-image-sequences-by-dynamic-graph-embedding-1910.03483"/></url>
<url><loc>https://scifaro.com/en/abs/self-paced-multi-label-learning-with-diversity-1910.03497</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-paced-multi-label-learning-with-diversity-1910.03497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-paced-multi-label-learning-with-diversity-1910.03497"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-vector-spaces-compact-data-representation-as-differentiable-weighted-graphs-1910.03524</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-vector-spaces-compact-data-representation-as-differentiable-weighted-graphs-1910.03524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-vector-spaces-compact-data-representation-as-differentiable-weighted-graphs-1910.03524"/></url>
<url><loc>https://scifaro.com/en/abs/torchbeast-a-pytorch-platform-for-distributed-rl-1910.03552</loc><lastmod>2019-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/torchbeast-a-pytorch-platform-for-distributed-rl-1910.03552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/torchbeast-a-pytorch-platform-for-distributed-rl-1910.03552"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-anonymized-histograms-1910.03553</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-anonymized-histograms-1910.03553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-anonymized-histograms-1910.03553"/></url>
<url><loc>https://scifaro.com/en/abs/deep-network-classification-by-scattering-and-homotopy-dictionary-learning-1910.03561</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-network-classification-by-scattering-and-homotopy-dictionary-learning-1910.03561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-network-classification-by-scattering-and-homotopy-dictionary-learning-1910.03561"/></url>
<url><loc>https://scifaro.com/en/abs/fedmd-heterogenous-federated-learning-via-model-distillation-1910.03581</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedmd-heterogenous-federated-learning-via-model-distillation-1910.03581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedmd-heterogenous-federated-learning-via-model-distillation-1910.03581"/></url>
<url><loc>https://scifaro.com/en/abs/receding-horizon-curiosity-1910.03620</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/receding-horizon-curiosity-1910.03620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/receding-horizon-curiosity-1910.03620"/></url>
<url><loc>https://scifaro.com/en/abs/smoothfool-an-efficient-framework-for-computing-smooth-adversarial-perturbations-1910.03624</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothfool-an-efficient-framework-for-computing-smooth-adversarial-perturbations-1910.03624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothfool-an-efficient-framework-for-computing-smooth-adversarial-perturbations-1910.03624"/></url>
<url><loc>https://scifaro.com/en/abs/linking-emotions-to-behaviors-through-deep-transfer-learning-1910.03641</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linking-emotions-to-behaviors-through-deep-transfer-learning-1910.03641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linking-emotions-to-behaviors-through-deep-transfer-learning-1910.03641"/></url>
<url><loc>https://scifaro.com/en/abs/multi-head-attention-for-multi-modal-joint-vehicle-motion-forecasting-1910.03650</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-head-attention-for-multi-modal-joint-vehicle-motion-forecasting-1910.03650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-head-attention-for-multi-modal-joint-vehicle-motion-forecasting-1910.03650"/></url>
<url><loc>https://scifaro.com/en/abs/automl-using-metadata-language-embeddings-1910.03698</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automl-using-metadata-language-embeddings-1910.03698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automl-using-metadata-language-embeddings-1910.03698"/></url>
<url><loc>https://scifaro.com/en/abs/on-dimension-free-tail-inequalities-for-sums-of-random-matrices-and-applications-1910.03718</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-dimension-free-tail-inequalities-for-sums-of-random-matrices-and-applications-1910.03718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-dimension-free-tail-inequalities-for-sums-of-random-matrices-and-applications-1910.03718"/></url>
<url><loc>https://scifaro.com/en/abs/investigation-on-the-generalization-of-the-sampled-policy-gradient-algorithm-1910.03728</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigation-on-the-generalization-of-the-sampled-policy-gradient-algorithm-1910.03728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigation-on-the-generalization-of-the-sampled-policy-gradient-algorithm-1910.03728"/></url>
<url><loc>https://scifaro.com/en/abs/ctrl-z-recovering-from-instability-in-reinforcement-learning-1910.03732</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ctrl-z-recovering-from-instability-in-reinforcement-learning-1910.03732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ctrl-z-recovering-from-instability-in-reinforcement-learning-1910.03732"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-objective-reinforcement-learning-for-inverse-design-and-identification-1910.03741</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-objective-reinforcement-learning-for-inverse-design-and-identification-1910.03741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-objective-reinforcement-learning-for-inverse-design-and-identification-1910.03741"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-convex-ensemble-1910.03742</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-convex-ensemble-1910.03742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-convex-ensemble-1910.03742"/></url>
<url><loc>https://scifaro.com/en/abs/the-fastest-ell-1-infty-prox-in-the-west-1910.03749</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-fastest-ell-1-infty-prox-in-the-west-1910.03749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-fastest-ell-1-infty-prox-in-the-west-1910.03749"/></url>
<url><loc>https://scifaro.com/en/abs/an-mdl-based-classifier-for-transactional-datasets-with-application-in-malware-detection-1910.03751</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-mdl-based-classifier-for-transactional-datasets-with-application-in-malware-detection-1910.03751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-mdl-based-classifier-for-transactional-datasets-with-application-in-malware-detection-1910.03751"/></url>
<url><loc>https://scifaro.com/en/abs/electric-load-and-power-forecasting-using-ensemble-gaussian-process-regression-1910.03783</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/electric-load-and-power-forecasting-using-ensemble-gaussian-process-regression-1910.03783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/electric-load-and-power-forecasting-using-ensemble-gaussian-process-regression-1910.03783"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-feature-selection-with-orthogonal-regression-and-feature-weighting-1910.03787</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-feature-selection-with-orthogonal-regression-and-feature-weighting-1910.03787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-feature-selection-with-orthogonal-regression-and-feature-weighting-1910.03787"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-proof-of-the-universality-of-invariant-equivariant-graph-neural-networks-1910.03802</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-proof-of-the-universality-of-invariant-equivariant-graph-neural-networks-1910.03802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-proof-of-the-universality-of-invariant-equivariant-graph-neural-networks-1910.03802"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-learning-of-deepfakes-in-accounting-1910.03810</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-learning-of-deepfakes-in-accounting-1910.03810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-learning-of-deepfakes-in-accounting-1910.03810"/></url>
<url><loc>https://scifaro.com/en/abs/a-joint-model-for-it-operation-series-prediction-and-anomaly-detection-1910.03818</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-joint-model-for-it-operation-series-prediction-and-anomaly-detection-1910.03818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-joint-model-for-it-operation-series-prediction-and-anomaly-detection-1910.03818"/></url>
<url><loc>https://scifaro.com/en/abs/policy-optimization-through-approximate-importance-sampling-1910.03857</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-optimization-through-approximate-importance-sampling-1910.03857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-optimization-through-approximate-importance-sampling-1910.03857"/></url>
<url><loc>https://scifaro.com/en/abs/loss-patterns-of-neural-networks-1910.03867</loc><lastmod>2025-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-patterns-of-neural-networks-1910.03867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-patterns-of-neural-networks-1910.03867"/></url>
<url><loc>https://scifaro.com/en/abs/how-well-do-wgans-estimate-the-wasserstein-metric-1910.03875</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-well-do-wgans-estimate-the-wasserstein-metric-1910.03875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-well-do-wgans-estimate-the-wasserstein-metric-1910.03875"/></url>
<url><loc>https://scifaro.com/en/abs/dissecting-deep-neural-networks-1910.03879</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dissecting-deep-neural-networks-1910.03879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dissecting-deep-neural-networks-1910.03879"/></url>
<url><loc>https://scifaro.com/en/abs/compatible-features-for-monotonic-policy-improvement-1910.03880</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compatible-features-for-monotonic-policy-improvement-1910.03880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compatible-features-for-monotonic-policy-improvement-1910.03880"/></url>
<url><loc>https://scifaro.com/en/abs/deep-latent-defence-1910.03916</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-latent-defence-1910.03916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-latent-defence-1910.03916"/></url>
<url><loc>https://scifaro.com/en/abs/nearly-minimal-over-parametrization-of-shallow-neural-networks-1910.03948</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearly-minimal-over-parametrization-of-shallow-neural-networks-1910.03948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearly-minimal-over-parametrization-of-shallow-neural-networks-1910.03948"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-demand-forecasting-benchmark-for-the-distribution-grid-1910.03976</loc><lastmod>2020-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-demand-forecasting-benchmark-for-the-distribution-grid-1910.03976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-demand-forecasting-benchmark-for-the-distribution-grid-1910.03976"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-possibility-of-rewarding-structure-learning-agents-mutual-information-on-linguistic-random-sets-1910.04023</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-possibility-of-rewarding-structure-learning-agents-mutual-information-on-linguistic-random-sets-1910.04023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-possibility-of-rewarding-structure-learning-agents-mutual-information-on-linguistic-random-sets-1910.04023"/></url>
<url><loc>https://scifaro.com/en/abs/derivative-free-order-robust-optimisation-1910.04034</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/derivative-free-order-robust-optimisation-1910.04034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/derivative-free-order-robust-optimisation-1910.04034"/></url>
<url><loc>https://scifaro.com/en/abs/mvfst-rl-an-asynchronous-rl-framework-for-congestion-control-with-delayed-actions-1910.04054</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mvfst-rl-an-asynchronous-rl-framework-for-congestion-control-with-delayed-actions-1910.04054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mvfst-rl-an-asynchronous-rl-framework-for-congestion-control-with-delayed-actions-1910.04054"/></url>
<url><loc>https://scifaro.com/en/abs/text-to-image-synthesis-based-on-machine-generated-captions-1910.04056</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/text-to-image-synthesis-based-on-machine-generated-captions-1910.04056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/text-to-image-synthesis-based-on-machine-generated-captions-1910.04056"/></url>
<url><loc>https://scifaro.com/en/abs/devdan-deep-evolving-denoising-autoencoder-1910.04062</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/devdan-deep-evolving-denoising-autoencoder-1910.04062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/devdan-deep-evolving-denoising-autoencoder-1910.04062"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-reinforcement-learning-exploiting-state-action-equivalence-1910.04077</loc><lastmod>2019-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-exploiting-state-action-equivalence-1910.04077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-exploiting-state-action-equivalence-1910.04077"/></url>
<url><loc>https://scifaro.com/en/abs/improving-generalization-in-meta-reinforcement-learning-using-learned-objectives-1910.04098</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-generalization-in-meta-reinforcement-learning-using-learned-objectives-1910.04098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-generalization-in-meta-reinforcement-learning-using-learned-objectives-1910.04098"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-using-bayesian-neural-networks-1910.04112</loc><lastmod>2020-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-using-bayesian-neural-networks-1910.04112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-using-bayesian-neural-networks-1910.04112"/></url>
<url><loc>https://scifaro.com/en/abs/domain-relevant-embeddings-for-medical-question-similarity-1910.04192</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-relevant-embeddings-for-medical-question-similarity-1910.04192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-relevant-embeddings-for-medical-question-similarity-1910.04192"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-adequacy-of-untuned-warmup-for-adaptive-optimization-1910.04209</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-adequacy-of-untuned-warmup-for-adaptive-optimization-1910.04209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-adequacy-of-untuned-warmup-for-adaptive-optimization-1910.04209"/></url>
<url><loc>https://scifaro.com/en/abs/who-s-responsible-jointly-quantifying-the-contribution-of-the-learning-algorithm-and-training-data-1910.04214</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/who-s-responsible-jointly-quantifying-the-contribution-of-the-learning-algorithm-and-training-data-1910.04214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/who-s-responsible-jointly-quantifying-the-contribution-of-the-learning-algorithm-and-training-data-1910.04214"/></url>
<url><loc>https://scifaro.com/en/abs/straggler-agnostic-and-communication-efficient-distributed-primal-dual-algorithm-for-high-dimensional-data-mining-1910.04235</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/straggler-agnostic-and-communication-efficient-distributed-primal-dual-algorithm-for-high-dimensional-data-mining-1910.04235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/straggler-agnostic-and-communication-efficient-distributed-primal-dual-algorithm-for-high-dimensional-data-mining-1910.04235"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-distribution-detection-in-classifiers-via-generation-1910.04241</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-distribution-detection-in-classifiers-via-generation-1910.04241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-distribution-detection-in-classifiers-via-generation-1910.04241"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-image-classifiers-by-removing-input-features-using-generative-models-1910.04256</loc><lastmod>2020-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-image-classifiers-by-removing-input-features-using-generative-models-1910.04256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-image-classifiers-by-removing-input-features-using-generative-models-1910.04256"/></url>
<url><loc>https://scifaro.com/en/abs/membership-model-inversion-attacks-for-deep-networks-1910.04257</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/membership-model-inversion-attacks-for-deep-networks-1910.04257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/membership-model-inversion-attacks-for-deep-networks-1910.04257"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-embedding-adversarial-perturbations-into-the-parameter-space-of-a-neural-network-to-build-a-robust-system-1910.04279</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-embedding-adversarial-perturbations-into-the-parameter-space-of-a-neural-network-to-build-a-robust-system-1910.04279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-embedding-adversarial-perturbations-into-the-parameter-space-of-a-neural-network-to-build-a-robust-system-1910.04279"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-behavior-cloning-and-reinforcement-learning-for-improved-performance-in-dense-and-sparse-reward-environments-1910.04281</loc><lastmod>2020-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-behavior-cloning-and-reinforcement-learning-for-improved-performance-in-dense-and-sparse-reward-environments-1910.04281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-behavior-cloning-and-reinforcement-learning-for-improved-performance-in-dense-and-sparse-reward-environments-1910.04281"/></url>
<url><loc>https://scifaro.com/en/abs/improved-sample-complexities-for-deep-networks-and-robust-classification-via-an-all-layer-margin-1910.04284</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-sample-complexities-for-deep-networks-and-robust-classification-via-an-all-layer-margin-1910.04284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-sample-complexities-for-deep-networks-and-robust-classification-via-an-all-layer-margin-1910.04284"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-optimizer-with-implicit-natural-gradient-1910.04301</loc><lastmod>2020-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-optimizer-with-implicit-natural-gradient-1910.04301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-optimizer-with-implicit-natural-gradient-1910.04301"/></url>
<url><loc>https://scifaro.com/en/abs/rate-distortion-optimization-guided-autoencoder-for-isometric-embedding-in-euclidean-latent-space-1910.04329</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rate-distortion-optimization-guided-autoencoder-for-isometric-embedding-in-euclidean-latent-space-1910.04329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rate-distortion-optimization-guided-autoencoder-for-isometric-embedding-in-euclidean-latent-space-1910.04329"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-tree-search-optimality-guarantees-in-pomdps-with-continuous-observation-spaces-1910.04332</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-tree-search-optimality-guarantees-in-pomdps-with-continuous-observation-spaces-1910.04332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-tree-search-optimality-guarantees-in-pomdps-with-continuous-observation-spaces-1910.04332"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-classification-for-varying-length-series-1910.04341</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-classification-for-varying-length-series-1910.04341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-classification-for-varying-length-series-1910.04341"/></url>
<url><loc>https://scifaro.com/en/abs/visual-understanding-of-multiple-attributes-learning-model-of-x-ray-scattering-images-1910.04357</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-understanding-of-multiple-attributes-learning-model-of-x-ray-scattering-images-1910.04357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-understanding-of-multiple-attributes-learning-model-of-x-ray-scattering-images-1910.04357"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-with-importance-sampling-1910.04371</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-with-importance-sampling-1910.04371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-with-importance-sampling-1910.04371"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-transfer-entropy-via-copula-entropy-1910.04375</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-transfer-entropy-via-copula-entropy-1910.04375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-transfer-entropy-via-copula-entropy-1910.04375"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-using-only-peer-prediction-1910.04382</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-using-only-peer-prediction-1910.04382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-using-only-peer-prediction-1910.04382"/></url>
<url><loc>https://scifaro.com/en/abs/imitation-learning-from-observations-by-minimizing-inverse-dynamics-disagreement-1910.04417</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitation-learning-from-observations-by-minimizing-inverse-dynamics-disagreement-1910.04417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitation-learning-from-observations-by-minimizing-inverse-dynamics-disagreement-1910.04417"/></url>
<url><loc>https://scifaro.com/en/abs/learning-beyond-predefined-label-space-via-bayesian-nonparametric-topic-modelling-1910.04420</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-beyond-predefined-label-space-via-bayesian-nonparametric-topic-modelling-1910.04420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-beyond-predefined-label-space-via-bayesian-nonparametric-topic-modelling-1910.04420"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-prediction-of-spatiotemporal-dynamical-systems-with-recurrent-neural-networks-role-of-network-spectral-radius-1910.04426</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-prediction-of-spatiotemporal-dynamical-systems-with-recurrent-neural-networks-role-of-network-spectral-radius-1910.04426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-prediction-of-spatiotemporal-dynamical-systems-with-recurrent-neural-networks-role-of-network-spectral-radius-1910.04426"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-view-dimensionality-reduction-algorithm-based-on-smooth-representation-model-1910.04439</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-view-dimensionality-reduction-algorithm-based-on-smooth-representation-model-1910.04439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-view-dimensionality-reduction-algorithm-based-on-smooth-representation-model-1910.04439"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-reinforcement-learning-with-advantage-based-auxiliary-rewards-1910.04450</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-with-advantage-based-auxiliary-rewards-1910.04450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-with-advantage-based-auxiliary-rewards-1910.04450"/></url>
<url><loc>https://scifaro.com/en/abs/still-no-free-lunches-the-price-to-pay-for-tighter-pac-bayes-bounds-1910.04460</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/still-no-free-lunches-the-price-to-pay-for-tighter-pac-bayes-bounds-1910.04460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/still-no-free-lunches-the-price-to-pay-for-tighter-pac-bayes-bounds-1910.04460"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-contrastive-unsupervised-representation-learning-1910.04464</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-contrastive-unsupervised-representation-learning-1910.04464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-contrastive-unsupervised-representation-learning-1910.04464"/></url>
<url><loc>https://scifaro.com/en/abs/degnn-characterizing-and-improving-graph-neural-networks-with-graph-decomposition-1910.04499</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/degnn-characterizing-and-improving-graph-neural-networks-with-graph-decomposition-1910.04499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/degnn-characterizing-and-improving-graph-neural-networks-with-graph-decomposition-1910.04499"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonality-constrained-multi-head-attention-for-keyword-spotting-1910.04500</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonality-constrained-multi-head-attention-for-keyword-spotting-1910.04500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonality-constrained-multi-head-attention-for-keyword-spotting-1910.04500"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-rollouts-for-learning-curve-extrapolation-across-hyperparameter-settings-1910.04522</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-rollouts-for-learning-curve-extrapolation-across-hyperparameter-settings-1910.04522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-rollouts-for-learning-curve-extrapolation-across-hyperparameter-settings-1910.04522"/></url>
<url><loc>https://scifaro.com/en/abs/deep-structured-mixtures-of-gaussian-processes-1910.04536</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-structured-mixtures-of-gaussian-processes-1910.04536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-structured-mixtures-of-gaussian-processes-1910.04536"/></url>
<url><loc>https://scifaro.com/en/abs/qpytorch-a-low-precision-arithmetic-simulation-framework-1910.04540</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qpytorch-a-low-precision-arithmetic-simulation-framework-1910.04540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qpytorch-a-low-precision-arithmetic-simulation-framework-1910.04540"/></url>
<url><loc>https://scifaro.com/en/abs/recycled-admm-improving-the-privacy-and-accuracy-of-distributed-algorithms-1910.04581</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recycled-admm-improving-the-privacy-and-accuracy-of-distributed-algorithms-1910.04581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recycled-admm-improving-the-privacy-and-accuracy-of-distributed-algorithms-1910.04581"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-manifold-from-a-teacher-s-demonstrations-1910.04615</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-manifold-from-a-teacher-s-demonstrations-1910.04615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-manifold-from-a-teacher-s-demonstrations-1910.04615"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-generative-adversarial-networks-architectures-which-reduce-mode-collapse-1910.04636</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-generative-adversarial-networks-architectures-which-reduce-mode-collapse-1910.04636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-generative-adversarial-networks-architectures-which-reduce-mode-collapse-1910.04636"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-remember-from-a-multi-task-teacher-1910.04650</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-remember-from-a-multi-task-teacher-1910.04650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-remember-from-a-multi-task-teacher-1910.04650"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effects-of-pseudo-and-quantum-random-number-generators-in-soft-computing-1910.04701</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effects-of-pseudo-and-quantum-random-number-generators-in-soft-computing-1910.04701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effects-of-pseudo-and-quantum-random-number-generators-in-soft-computing-1910.04701"/></url>
<url><loc>https://scifaro.com/en/abs/neuro-dram-a-3d-recurrent-visual-attention-model-for-interpretable-neuroimaging-classification-1910.04721</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuro-dram-a-3d-recurrent-visual-attention-model-for-interpretable-neuroimaging-classification-1910.04721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuro-dram-a-3d-recurrent-visual-attention-model-for-interpretable-neuroimaging-classification-1910.04721"/></url>
<url><loc>https://scifaro.com/en/abs/using-neural-networks-for-programming-by-demonstration-1910.04724</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-neural-networks-for-programming-by-demonstration-1910.04724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-neural-networks-for-programming-by-demonstration-1910.04724"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-intrinsically-motivated-robotic-grasping-with-learning-adaptive-imagination-in-latent-space-1910.04729</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-intrinsically-motivated-robotic-grasping-with-learning-adaptive-imagination-in-latent-space-1910.04729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-intrinsically-motivated-robotic-grasping-with-learning-adaptive-imagination-in-latent-space-1910.04729"/></url>
<url><loc>https://scifaro.com/en/abs/transportation-mode-classification-from-smartphone-sensors-via-a-long-short-term-memory-network-1910.04739</loc><lastmod>2019-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transportation-mode-classification-from-smartphone-sensors-via-a-long-short-term-memory-network-1910.04739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transportation-mode-classification-from-smartphone-sensors-via-a-long-short-term-memory-network-1910.04739"/></url>
<url><loc>https://scifaro.com/en/abs/defending-neural-backdoors-via-generative-distribution-modeling-1910.04749</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defending-neural-backdoors-via-generative-distribution-modeling-1910.04749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defending-neural-backdoors-via-generative-distribution-modeling-1910.04749"/></url>
<url><loc>https://scifaro.com/en/abs/a-cost-effective-method-for-improving-and-re-purposing-large-pre-trained-gans-by-fine-tuning-their-class-embeddings-1910.04760</loc><lastmod>2020-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-cost-effective-method-for-improving-and-re-purposing-large-pre-trained-gans-by-fine-tuning-their-class-embeddings-1910.04760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-cost-effective-method-for-improving-and-re-purposing-large-pre-trained-gans-by-fine-tuning-their-class-embeddings-1910.04760"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-bounds-on-potential-outcomes-for-decision-making-1910.04817</loc><lastmod>2020-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-bounds-on-potential-outcomes-for-decision-making-1910.04817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-bounds-on-potential-outcomes-for-decision-making-1910.04817"/></url>
<url><loc>https://scifaro.com/en/abs/information-aware-max-norm-dirichlet-networks-for-predictive-uncertainty-estimation-1910.04819</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-aware-max-norm-dirichlet-networks-for-predictive-uncertainty-estimation-1910.04819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-aware-max-norm-dirichlet-networks-for-predictive-uncertainty-estimation-1910.04819"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-horizon-off-policy-policy-evaluation-with-multiple-behavior-policies-1910.04849</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-horizon-off-policy-policy-evaluation-with-multiple-behavior-policies-1910.04849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-horizon-off-policy-policy-evaluation-with-multiple-behavior-policies-1910.04849"/></url>
<url><loc>https://scifaro.com/en/abs/profet-construction-and-inference-of-dbns-based-on-mathematical-models-1910.04895</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/profet-construction-and-inference-of-dbns-based-on-mathematical-models-1910.04895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/profet-construction-and-inference-of-dbns-based-on-mathematical-models-1910.04895"/></url>
<url><loc>https://scifaro.com/en/abs/coloring-the-black-box-visualizing-neural-network-behavior-with-a-self-introspective-model-1910.04903</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coloring-the-black-box-visualizing-neural-network-behavior-with-a-self-introspective-model-1910.04903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coloring-the-black-box-visualizing-neural-network-behavior-with-a-self-introspective-model-1910.04903"/></url>
<url><loc>https://scifaro.com/en/abs/dealing-with-stochasticity-in-biological-ode-models-1910.04909</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dealing-with-stochasticity-in-biological-ode-models-1910.04909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dealing-with-stochasticity-in-biological-ode-models-1910.04909"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-multi-task-networks-by-learning-parameter-allocation-1910.04915</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-multi-task-networks-by-learning-parameter-allocation-1910.04915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-multi-task-networks-by-learning-parameter-allocation-1910.04915"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-furious-convergence-stochastic-second-order-methods-under-interpolation-1910.04920</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-furious-convergence-stochastic-second-order-methods-under-interpolation-1910.04920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-furious-convergence-stochastic-second-order-methods-under-interpolation-1910.04920"/></url>
<url><loc>https://scifaro.com/en/abs/old-dog-learns-new-tricks-randomized-ucb-for-bandit-problems-1910.04928</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/old-dog-learns-new-tricks-randomized-ucb-for-bandit-problems-1910.04928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/old-dog-learns-new-tricks-randomized-ucb-for-bandit-problems-1910.04928"/></url>
<url><loc>https://scifaro.com/en/abs/random-quadratic-forms-with-dependence-applications-to-restricted-isometry-and-beyond-1910.04930</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-quadratic-forms-with-dependence-applications-to-restricted-isometry-and-beyond-1910.04930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-quadratic-forms-with-dependence-applications-to-restricted-isometry-and-beyond-1910.04930"/></url>
<url><loc>https://scifaro.com/en/abs/rk-means-fast-clustering-for-relational-data-1910.04939</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rk-means-fast-clustering-for-relational-data-1910.04939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rk-means-fast-clustering-for-relational-data-1910.04939"/></url>
<url><loc>https://scifaro.com/en/abs/demon-improved-neural-network-training-with-momentum-decay-1910.04952</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demon-improved-neural-network-training-with-momentum-decay-1910.04952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demon-improved-neural-network-training-with-momentum-decay-1910.04952"/></url>
<url><loc>https://scifaro.com/en/abs/central-server-free-federated-learning-over-single-sided-trust-social-networks-1910.04956</loc><lastmod>2020-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/central-server-free-federated-learning-over-single-sided-trust-social-networks-1910.04956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/central-server-free-federated-learning-over-single-sided-trust-social-networks-1910.04956"/></url>
<url><loc>https://scifaro.com/en/abs/the-expressivity-and-training-of-deep-neural-networks-toward-the-edge-of-chaos-1910.04970</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-expressivity-and-training-of-deep-neural-networks-toward-the-edge-of-chaos-1910.04970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-expressivity-and-training-of-deep-neural-networks-toward-the-edge-of-chaos-1910.04970"/></url>
<url><loc>https://scifaro.com/en/abs/inundation-modeling-in-data-scarce-regions-1910.05006</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inundation-modeling-in-data-scarce-regions-1910.05006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inundation-modeling-in-data-scarce-regions-1910.05006"/></url>
<url><loc>https://scifaro.com/en/abs/verification-of-neural-networks-specifying-global-robustness-using-generative-models-1910.05018</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/verification-of-neural-networks-specifying-global-robustness-using-generative-models-1910.05018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/verification-of-neural-networks-specifying-global-robustness-using-generative-models-1910.05018"/></url>
<url><loc>https://scifaro.com/en/abs/customizing-sequence-generation-with-multi-task-dynamical-systems-1910.05026</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/customizing-sequence-generation-with-multi-task-dynamical-systems-1910.05026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/customizing-sequence-generation-with-multi-task-dynamical-systems-1910.05026"/></url>
<url><loc>https://scifaro.com/en/abs/finding-interpretable-concept-spaces-in-node-embeddings-using-knowledge-bases-1910.05030</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-interpretable-concept-spaces-in-node-embeddings-using-knowledge-bases-1910.05030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-interpretable-concept-spaces-in-node-embeddings-using-knowledge-bases-1910.05030"/></url>
<url><loc>https://scifaro.com/en/abs/green-deep-reinforcement-learning-for-radio-resource-management-architecture-algorithm-compression-and-challenge-1910.05054</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/green-deep-reinforcement-learning-for-radio-resource-management-architecture-algorithm-compression-and-challenge-1910.05054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/green-deep-reinforcement-learning-for-radio-resource-management-architecture-algorithm-compression-and-challenge-1910.05054"/></url>
<url><loc>https://scifaro.com/en/abs/noise-as-a-resource-for-learning-in-knowledge-distillation-1910.05057</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-as-a-resource-for-learning-in-knowledge-distillation-1910.05057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-as-a-resource-for-learning-in-knowledge-distillation-1910.05057"/></url>
<url><loc>https://scifaro.com/en/abs/a-nonparametric-bayesian-model-for-sparse-dynamic-multigraphs-1910.05098</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nonparametric-bayesian-model-for-sparse-dynamic-multigraphs-1910.05098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nonparametric-bayesian-model-for-sparse-dynamic-multigraphs-1910.05098"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-survival-function-estimation-1910.05108</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-survival-function-estimation-1910.05108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-survival-function-estimation-1910.05108"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-on-microcontrollers-saving-memory-at-inference-via-operator-reordering-1910.05110</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-on-microcontrollers-saving-memory-at-inference-via-operator-reordering-1910.05110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-on-microcontrollers-saving-memory-at-inference-via-operator-reordering-1910.05110"/></url>
<url><loc>https://scifaro.com/en/abs/organization-of-machine-learning-based-product-development-as-per-iso-26262-and-iso-pas-21448-1910.05112</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/organization-of-machine-learning-based-product-development-as-per-iso-26262-and-iso-pas-21448-1910.05112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/organization-of-machine-learning-based-product-development-as-per-iso-26262-and-iso-pas-21448-1910.05112"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-in-clustering-with-multiple-sensitive-attributes-1910.05113</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-in-clustering-with-multiple-sensitive-attributes-1910.05113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-in-clustering-with-multiple-sensitive-attributes-1910.05113"/></url>
<url><loc>https://scifaro.com/en/abs/developing-an-anfis-pso-model-to-estimate-mercury-emission-in-combustion-flue-gases-1910.05118</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/developing-an-anfis-pso-model-to-estimate-mercury-emission-in-combustion-flue-gases-1910.05118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/developing-an-anfis-pso-model-to-estimate-mercury-emission-in-combustion-flue-gases-1910.05118"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-graph-wavelet-transform-as-feature-extractor-for-machine-learning-in-neuroimaging-1910.05149</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-graph-wavelet-transform-as-feature-extractor-for-machine-learning-in-neuroimaging-1910.05149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-graph-wavelet-transform-as-feature-extractor-for-machine-learning-in-neuroimaging-1910.05149"/></url>
<url><loc>https://scifaro.com/en/abs/sum-suboptimal-unitary-multi-task-learning-framework-for-spatiotemporal-data-prediction-1910.05150</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sum-suboptimal-unitary-multi-task-learning-framework-for-spatiotemporal-data-prediction-1910.05150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sum-suboptimal-unitary-multi-task-learning-framework-for-spatiotemporal-data-prediction-1910.05150"/></url>
<url><loc>https://scifaro.com/en/abs/query-by-example-on-device-keyword-spotting-1910.05171</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/query-by-example-on-device-keyword-spotting-1910.05171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/query-by-example-on-device-keyword-spotting-1910.05171"/></url>
<url><loc>https://scifaro.com/en/abs/evolving-gaussian-process-kernels-from-elementary-mathematical-expressions-1910.05173</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolving-gaussian-process-kernels-from-elementary-mathematical-expressions-1910.05173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolving-gaussian-process-kernels-from-elementary-mathematical-expressions-1910.05173"/></url>
<url><loc>https://scifaro.com/en/abs/idbench-evaluating-semantic-representations-of-identifier-names-in-source-code-1910.05177</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/idbench-evaluating-semantic-representations-of-identifier-names-in-source-code-1910.05177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/idbench-evaluating-semantic-representations-of-identifier-names-in-source-code-1910.05177"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-meta-learning-for-the-few-shot-setting-via-deep-kernels-1910.05199</loc><lastmod>2020-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-meta-learning-for-the-few-shot-setting-via-deep-kernels-1910.05199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-meta-learning-for-the-few-shot-setting-via-deep-kernels-1910.05199"/></url>
<url><loc>https://scifaro.com/en/abs/r-sqair-relational-sequential-attend-infer-repeat-1910.05231</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/r-sqair-relational-sequential-attend-infer-repeat-1910.05231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/r-sqair-relational-sequential-attend-infer-repeat-1910.05231"/></url>
<url><loc>https://scifaro.com/en/abs/decoupling-hierarchical-recurrent-neural-networks-with-locally-computable-losses-1910.05245</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupling-hierarchical-recurrent-neural-networks-with-locally-computable-losses-1910.05245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupling-hierarchical-recurrent-neural-networks-with-locally-computable-losses-1910.05245"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-and-adaptive-kernelization-for-nonlinear-max-margin-multi-view-learning-1910.05250</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-and-adaptive-kernelization-for-nonlinear-max-margin-multi-view-learning-1910.05250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-and-adaptive-kernelization-for-nonlinear-max-margin-multi-view-learning-1910.05250"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-colorization-of-icons-based-on-structure-and-color-conditions-1910.05253</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-colorization-of-icons-based-on-structure-and-color-conditions-1910.05253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-colorization-of-icons-based-on-structure-and-color-conditions-1910.05253"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-multi-party-contextual-bandits-1910.05299</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-multi-party-contextual-bandits-1910.05299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-multi-party-contextual-bandits-1910.05299"/></url>
<url><loc>https://scifaro.com/en/abs/learning-cluster-structured-sparsity-by-reweighting-1910.05303</loc><lastmod>2019-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-cluster-structured-sparsity-by-reweighting-1910.05303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-cluster-structured-sparsity-by-reweighting-1910.05303"/></url>
<url><loc>https://scifaro.com/en/abs/aff-wild-database-and-affwildnet-1910.05318</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aff-wild-database-and-affwildnet-1910.05318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aff-wild-database-and-affwildnet-1910.05318"/></url>
<url><loc>https://scifaro.com/en/abs/learning-nearly-decomposable-value-functions-via-communication-minimization-1910.05366</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-nearly-decomposable-value-functions-via-communication-minimization-1910.05366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-nearly-decomposable-value-functions-via-communication-minimization-1910.05366"/></url>
<url><loc>https://scifaro.com/en/abs/affwild-net-and-aff-wild-database-1910.05376</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/affwild-net-and-aff-wild-database-1910.05376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/affwild-net-and-aff-wild-database-1910.05376"/></url>
<url><loc>https://scifaro.com/en/abs/orcca-optimal-randomized-canonical-correlation-analysis-1910.05384</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orcca-optimal-randomized-canonical-correlation-analysis-1910.05384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orcca-optimal-randomized-canonical-correlation-analysis-1910.05384"/></url>
<url><loc>https://scifaro.com/en/abs/network-randomization-a-simple-technique-for-generalization-in-deep-reinforcement-learning-1910.05396</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-randomization-a-simple-technique-for-generalization-in-deep-reinforcement-learning-1910.05396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-randomization-a-simple-technique-for-generalization-in-deep-reinforcement-learning-1910.05396"/></url>
<url><loc>https://scifaro.com/en/abs/robust-hierarchical-optimization-rls-against-sparse-outliers-1910.05399</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-hierarchical-optimization-rls-against-sparse-outliers-1910.05399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-hierarchical-optimization-rls-against-sparse-outliers-1910.05399"/></url>
<url><loc>https://scifaro.com/en/abs/zap-q-learning-with-nonlinear-function-approximation-1910.05405</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zap-q-learning-with-nonlinear-function-approximation-1910.05405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zap-q-learning-with-nonlinear-function-approximation-1910.05405"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-linear-models-in-virus-genomic-alignment-free-classification-application-to-hepatitis-c-viruses-1910.05421</loc><lastmod>2024-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-linear-models-in-virus-genomic-alignment-free-classification-application-to-hepatitis-c-viruses-1910.05421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-linear-models-in-virus-genomic-alignment-free-classification-application-to-hepatitis-c-viruses-1910.05421"/></url>
<url><loc>https://scifaro.com/en/abs/sipping-neural-networks-sensitivity-informed-provable-pruning-of-neural-networks-1910.05422</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sipping-neural-networks-sensitivity-informed-provable-pruning-of-neural-networks-1910.05422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sipping-neural-networks-sensitivity-informed-provable-pruning-of-neural-networks-1910.05422"/></url>
<url><loc>https://scifaro.com/en/abs/extraction-of-complex-dnn-models-real-threat-or-boogeyman-1910.05429</loc><lastmod>2020-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extraction-of-complex-dnn-models-real-threat-or-boogeyman-1910.05429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extraction-of-complex-dnn-models-real-threat-or-boogeyman-1910.05429"/></url>
<url><loc>https://scifaro.com/en/abs/on-empirical-comparisons-of-optimizers-for-deep-learning-1910.05446</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-empirical-comparisons-of-optimizers-for-deep-learning-1910.05446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-empirical-comparisons-of-optimizers-for-deep-learning-1910.05446"/></url>
<url><loc>https://scifaro.com/en/abs/multipath-multiple-probabilistic-anchor-trajectory-hypotheses-for-behavior-prediction-1910.05449</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multipath-multiple-probabilistic-anchor-trajectory-hypotheses-for-behavior-prediction-1910.05449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multipath-multiple-probabilistic-anchor-trajectory-hypotheses-for-behavior-prediction-1910.05449"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-and-exploration-for-reinforcement-learning-1910.05471</loc><lastmod>2022-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-and-exploration-for-reinforcement-learning-1910.05471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-and-exploration-for-reinforcement-learning-1910.05471"/></url>
<url><loc>https://scifaro.com/en/abs/a-preference-learning-framework-for-multiple-criteria-sorting-with-diverse-additive-value-models-and-valued-assignment-examples-1910.05485</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-preference-learning-framework-for-multiple-criteria-sorting-with-diverse-additive-value-models-and-valued-assignment-examples-1910.05485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-preference-learning-framework-for-multiple-criteria-sorting-with-diverse-additive-value-models-and-valued-assignment-examples-1910.05485"/></url>
<url><loc>https://scifaro.com/en/abs/deep-transfer-learning-for-source-code-modeling-1910.05493</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-transfer-learning-for-source-code-modeling-1910.05493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-transfer-learning-for-source-code-modeling-1910.05493"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-focused-topic-models-via-feature-selection-1910.05495</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-focused-topic-models-via-feature-selection-1910.05495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-focused-topic-models-via-feature-selection-1910.05495"/></url>
<url><loc>https://scifaro.com/en/abs/generative-neural-network-based-spectrum-sharing-using-linear-sum-assignment-problems-1910.05510</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-neural-network-based-spectrum-sharing-using-linear-sum-assignment-problems-1910.05510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-neural-network-based-spectrum-sharing-using-linear-sum-assignment-problems-1910.05510"/></url>
<url><loc>https://scifaro.com/en/abs/influence-based-multi-agent-exploration-1910.05512</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/influence-based-multi-agent-exploration-1910.05512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/influence-based-multi-agent-exploration-1910.05512"/></url>
<url><loc>https://scifaro.com/en/abs/on-robustness-of-neural-ordinary-differential-equations-1910.05513</loc><lastmod>2022-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-robustness-of-neural-ordinary-differential-equations-1910.05513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-robustness-of-neural-ordinary-differential-equations-1910.05513"/></url>
<url><loc>https://scifaro.com/en/abs/regularizing-model-based-planning-with-energy-based-models-1910.05527</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizing-model-based-planning-with-energy-based-models-1910.05527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizing-model-based-planning-with-energy-based-models-1910.05527"/></url>
<url><loc>https://scifaro.com/en/abs/preliminary-systematic-literature-review-of-machine-learning-system-development-process-1910.05528</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preliminary-systematic-literature-review-of-machine-learning-system-development-process-1910.05528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preliminary-systematic-literature-review-of-machine-learning-system-development-process-1910.05528"/></url>
<url><loc>https://scifaro.com/en/abs/autonomous-navigation-via-deep-reinforcement-learning-for-resource-constraint-edge-nodes-using-transfer-learning-1910.05547</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autonomous-navigation-via-deep-reinforcement-learning-for-resource-constraint-edge-nodes-using-transfer-learning-1910.05547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autonomous-navigation-via-deep-reinforcement-learning-for-resource-constraint-edge-nodes-using-transfer-learning-1910.05547"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-expected-behaviour-of-noise-regularised-deep-neural-networks-as-gaussian-processes-1910.05563</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-expected-behaviour-of-noise-regularised-deep-neural-networks-as-gaussian-processes-1910.05563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-expected-behaviour-of-noise-regularised-deep-neural-networks-as-gaussian-processes-1910.05563"/></url>
<url><loc>https://scifaro.com/en/abs/neighborhood-growth-determines-geometric-priors-for-relational-representation-learning-1910.05565</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neighborhood-growth-determines-geometric-priors-for-relational-representation-learning-1910.05565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neighborhood-growth-determines-geometric-priors-for-relational-representation-learning-1910.05565"/></url>
<url><loc>https://scifaro.com/en/abs/residual-encoder-decoder-network-for-deep-subspace-clustering-1910.05569</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-encoder-decoder-network-for-deep-subspace-clustering-1910.05569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-encoder-decoder-network-for-deep-subspace-clustering-1910.05569"/></url>
<url><loc>https://scifaro.com/en/abs/variational-auto-encoder-based-bayesian-poisson-tensor-factorization-for-sparse-and-imbalanced-count-data-1910.05570</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-auto-encoder-based-bayesian-poisson-tensor-factorization-for-sparse-and-imbalanced-count-data-1910.05570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-auto-encoder-based-bayesian-poisson-tensor-factorization-for-sparse-and-imbalanced-count-data-1910.05570"/></url>
<url><loc>https://scifaro.com/en/abs/geomancer-an-open-source-framework-for-geospatial-feature-engineering-1910.05571</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geomancer-an-open-source-framework-for-geospatial-feature-engineering-1910.05571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geomancer-an-open-source-framework-for-geospatial-feature-engineering-1910.05571"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-not-measure-disentanglement-1910.05587</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-not-measure-disentanglement-1910.05587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-not-measure-disentanglement-1910.05587"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-unfairness-through-game-theoretic-interpretability-1910.05591</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-unfairness-through-game-theoretic-interpretability-1910.05591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-unfairness-through-game-theoretic-interpretability-1910.05591"/></url>
<url><loc>https://scifaro.com/en/abs/open-plan-glare-evaluator-oge-a-demonstration-of-a-new-glare-prediction-approach-using-machine-learning-algorithms-1910.05594</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-plan-glare-evaluator-oge-a-demonstration-of-a-new-glare-prediction-approach-using-machine-learning-algorithms-1910.05594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-plan-glare-evaluator-oge-a-demonstration-of-a-new-glare-prediction-approach-using-machine-learning-algorithms-1910.05594"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-interpretable-generative-parameters-of-random-and-real-world-graphs-1910.05639</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-interpretable-generative-parameters-of-random-and-real-world-graphs-1910.05639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-interpretable-generative-parameters-of-random-and-real-world-graphs-1910.05639"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-predicting-dynamic-uncertain-opinions-in-network-data-1910.05640</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-predicting-dynamic-uncertain-opinions-in-network-data-1910.05640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-predicting-dynamic-uncertain-opinions-in-network-data-1910.05640"/></url>
<url><loc>https://scifaro.com/en/abs/interventional-experiment-design-for-causal-structure-learning-1910.05651</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interventional-experiment-design-for-causal-structure-learning-1910.05651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interventional-experiment-design-for-causal-structure-learning-1910.05651"/></url>
<url><loc>https://scifaro.com/en/abs/model-fusion-via-optimal-transport-1910.05653</loc><lastmod>2023-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-fusion-via-optimal-transport-1910.05653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-fusion-via-optimal-transport-1910.05653"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-in-non-episodic-restless-bandits-1910.05654</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-in-non-episodic-restless-bandits-1910.05654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-in-non-episodic-restless-bandits-1910.05654"/></url>
<url><loc>https://scifaro.com/en/abs/extracting-incentives-from-black-box-decisions-1910.05664</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extracting-incentives-from-black-box-decisions-1910.05664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extracting-incentives-from-black-box-decisions-1910.05664"/></url>
<url><loc>https://scifaro.com/en/abs/hardware-software-codesign-for-training-testing-multiple-neural-networks-on-multiple-fpgas-1910.05683</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hardware-software-codesign-for-training-testing-multiple-neural-networks-on-multiple-fpgas-1910.05683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hardware-software-codesign-for-training-testing-multiple-neural-networks-on-multiple-fpgas-1910.05683"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-user-activities-using-vector-space-model-in-online-social-networks-1910.05691</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-user-activities-using-vector-space-model-in-online-social-networks-1910.05691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-user-activities-using-vector-space-model-in-online-social-networks-1910.05691"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-neural-networks-via-approximate-description-length-1910.05697</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-neural-networks-via-approximate-description-length-1910.05697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-neural-networks-via-approximate-description-length-1910.05697"/></url>
<url><loc>https://scifaro.com/en/abs/powering-hidden-markov-model-by-neural-network-based-generative-models-1910.05744</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/powering-hidden-markov-model-by-neural-network-based-generative-models-1910.05744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/powering-hidden-markov-model-by-neural-network-based-generative-models-1910.05744"/></url>
<url><loc>https://scifaro.com/en/abs/image-generation-and-recognition-emotions-1910.05774</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/image-generation-and-recognition-emotions-1910.05774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/image-generation-and-recognition-emotions-1910.05774"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-deep-neural-networks-for-dimensional-and-categorical-emotion-recognition-in-the-wild-1910.05784</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-deep-neural-networks-for-dimensional-and-categorical-emotion-recognition-in-the-wild-1910.05784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-deep-neural-networks-for-dimensional-and-categorical-emotion-recognition-in-the-wild-1910.05784"/></url>
<url><loc>https://scifaro.com/en/abs/ernet-family-hardware-oriented-cnn-models-for-computational-imaging-using-block-based-inference-1910.05787</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ernet-family-hardware-oriented-cnn-models-for-computational-imaging-using-block-based-inference-1910.05787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ernet-family-hardware-oriented-cnn-models-for-computational-imaging-using-block-based-inference-1910.05787"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-utility-of-learning-about-humans-for-human-ai-coordination-1910.05789</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-utility-of-learning-about-humans-for-human-ai-coordination-1910.05789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-utility-of-learning-about-humans-for-human-ai-coordination-1910.05789"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-embedding-complexity-in-domain-invariant-representations-1910.05804</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-embedding-complexity-in-domain-invariant-representations-1910.05804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-embedding-complexity-in-domain-invariant-representations-1910.05804"/></url>
<url><loc>https://scifaro.com/en/abs/towards-efficient-discrete-integration-via-adaptive-quantile-queries-1910.05811</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-efficient-discrete-integration-via-adaptive-quantile-queries-1910.05811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-efficient-discrete-integration-via-adaptive-quantile-queries-1910.05811"/></url>
<url><loc>https://scifaro.com/en/abs/policy-poisoning-in-batch-reinforcement-learning-and-control-1910.05821</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-poisoning-in-batch-reinforcement-learning-and-control-1910.05821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-poisoning-in-batch-reinforcement-learning-and-control-1910.05821"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-competitive-regularization-in-gans-1910.05852</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-competitive-regularization-in-gans-1910.05852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-competitive-regularization-in-gans-1910.05852"/></url>
<url><loc>https://scifaro.com/en/abs/deep-kernels-with-probabilistic-embeddings-for-small-data-learning-1910.05858</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-kernels-with-probabilistic-embeddings-for-small-data-learning-1910.05858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-kernels-with-probabilistic-embeddings-for-small-data-learning-1910.05858"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-non-affine-alignment-of-embeddings-1910.05862</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-non-affine-alignment-of-embeddings-1910.05862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-non-affine-alignment-of-embeddings-1910.05862"/></url>
<url><loc>https://scifaro.com/en/abs/neural-program-synthesis-by-self-learning-1910.05865</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-program-synthesis-by-self-learning-1910.05865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-program-synthesis-by-self-learning-1910.05865"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-label-augmentation-via-input-transformations-1910.05872</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-label-augmentation-via-input-transformations-1910.05872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-label-augmentation-via-input-transformations-1910.05872"/></url>
<url><loc>https://scifaro.com/en/abs/effects-of-depth-width-and-initialization-a-convergence-analysis-of-layer-wise-training-for-deep-linear-neural-networks-1910.05874</loc><lastmod>2020-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effects-of-depth-width-and-initialization-a-convergence-analysis-of-layer-wise-training-for-deep-linear-neural-networks-1910.05874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effects-of-depth-width-and-initialization-a-convergence-analysis-of-layer-wise-training-for-deep-linear-neural-networks-1910.05874"/></url>
<url><loc>https://scifaro.com/en/abs/actor-critic-with-differentially-private-critic-1910.05876</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/actor-critic-with-differentially-private-critic-1910.05876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/actor-critic-with-differentially-private-critic-1910.05876"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-deep-neural-networks-for-facial-expression-and-dimensional-emotion-recognition-in-the-wild-1910.05877</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-deep-neural-networks-for-facial-expression-and-dimensional-emotion-recognition-in-the-wild-1910.05877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-deep-neural-networks-for-facial-expression-and-dimensional-emotion-recognition-in-the-wild-1910.05877"/></url>
<url><loc>https://scifaro.com/en/abs/parallelized-training-of-restricted-boltzmann-machines-using-markov-chain-monte-carlo-methods-1910.05885</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelized-training-of-restricted-boltzmann-machines-using-markov-chain-monte-carlo-methods-1910.05885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelized-training-of-restricted-boltzmann-machines-using-markov-chain-monte-carlo-methods-1910.05885"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-neural-network-compression-by-sparsity-quantization-joint-learning-a-constrained-optimization-based-approach-1910.05897</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-neural-network-compression-by-sparsity-quantization-joint-learning-a-constrained-optimization-based-approach-1910.05897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-neural-network-compression-by-sparsity-quantization-joint-learning-a-constrained-optimization-based-approach-1910.05897"/></url>
<url><loc>https://scifaro.com/en/abs/robust-ordinal-vae-employing-noisy-pairwise-comparisons-for-disentanglement-1910.05898</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-ordinal-vae-employing-noisy-pairwise-comparisons-for-disentanglement-1910.05898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-ordinal-vae-employing-noisy-pairwise-comparisons-for-disentanglement-1910.05898"/></url>
<url><loc>https://scifaro.com/en/abs/isplit-lbi-individualized-partial-ranking-with-ties-via-split-lbi-1910.05905</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/isplit-lbi-individualized-partial-ranking-with-ties-via-split-lbi-1910.05905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/isplit-lbi-individualized-partial-ranking-with-ties-via-split-lbi-1910.05905"/></url>
<url><loc>https://scifaro.com/en/abs/code-generation-as-a-dual-task-of-code-summarization-1910.05923</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/code-generation-as-a-dual-task-of-code-summarization-1910.05923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/code-generation-as-a-dual-task-of-code-summarization-1910.05923"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-expressivity-of-neural-networks-for-deep-reinforcement-learning-1910.05927</loc><lastmod>2020-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-expressivity-of-neural-networks-for-deep-reinforcement-learning-1910.05927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-expressivity-of-neural-networks-for-deep-reinforcement-learning-1910.05927"/></url>
<url><loc>https://scifaro.com/en/abs/emergent-properties-of-the-local-geometry-of-neural-loss-landscapes-1910.05929</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emergent-properties-of-the-local-geometry-of-neural-loss-landscapes-1910.05929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emergent-properties-of-the-local-geometry-of-neural-loss-landscapes-1910.05929"/></url>
<url><loc>https://scifaro.com/en/abs/discern-diversity-based-selection-of-centroids-for-k-estimation-and-rapid-non-stochastic-clustering-1910.05933</loc><lastmod>2020-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discern-diversity-based-selection-of-centroids-for-k-estimation-and-rapid-non-stochastic-clustering-1910.05933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discern-diversity-based-selection-of-centroids-for-k-estimation-and-rapid-non-stochastic-clustering-1910.05933"/></url>
<url><loc>https://scifaro.com/en/abs/cross-view-kernel-transfer-1910.05964</loc><lastmod>2022-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-view-kernel-transfer-1910.05964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-view-kernel-transfer-1910.05964"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-reduction-of-variance-and-overestimation-of-deep-q-learning-1910.05983</loc><lastmod>2024-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-reduction-of-variance-and-overestimation-of-deep-q-learning-1910.05983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-reduction-of-variance-and-overestimation-of-deep-q-learning-1910.05983"/></url>
<url><loc>https://scifaro.com/en/abs/second-order-convergence-of-asynchronous-parallel-stochastic-gradient-descent-when-is-the-linear-speedup-achieved-1910.06000</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/second-order-convergence-of-asynchronous-parallel-stochastic-gradient-descent-when-is-the-linear-speedup-achieved-1910.06000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/second-order-convergence-of-asynchronous-parallel-stochastic-gradient-descent-when-is-the-linear-speedup-achieved-1910.06000"/></url>
<url><loc>https://scifaro.com/en/abs/federated-transfer-reinforcement-learning-for-autonomous-driving-1910.06001</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-transfer-reinforcement-learning-for-autonomous-driving-1910.06001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-transfer-reinforcement-learning-for-autonomous-driving-1910.06001"/></url>
<url><loc>https://scifaro.com/en/abs/imitating-by-generating-deep-generative-models-for-imitation-of-interactive-tasks-1910.06031</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitating-by-generating-deep-generative-models-for-imitation-of-interactive-tasks-1910.06031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitating-by-generating-deep-generative-models-for-imitation-of-interactive-tasks-1910.06031"/></url>
<url><loc>https://scifaro.com/en/abs/eavesdrop-the-composition-proportion-of-training-labels-in-federated-learning-1910.06044</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eavesdrop-the-composition-proportion-of-training-labels-in-federated-learning-1910.06044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eavesdrop-the-composition-proportion-of-training-labels-in-federated-learning-1910.06044"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimal-algorithm-for-adversarial-bandits-with-arbitrary-delays-1910.06054</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimal-algorithm-for-adversarial-bandits-with-arbitrary-delays-1910.06054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimal-algorithm-for-adversarial-bandits-with-arbitrary-delays-1910.06054"/></url>
<url><loc>https://scifaro.com/en/abs/developmentally-motivated-emergence-of-compositional-communication-via-template-transfer-1910.06079</loc><lastmod>2019-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/developmentally-motivated-emergence-of-compositional-communication-via-template-transfer-1910.06079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/developmentally-motivated-emergence-of-compositional-communication-via-template-transfer-1910.06079"/></url>
<url><loc>https://scifaro.com/en/abs/sleeper-interpretable-sleep-staging-via-prototypes-from-expert-rules-1910.06100</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sleeper-interpretable-sleep-staging-via-prototypes-from-expert-rules-1910.06100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sleeper-interpretable-sleep-staging-via-prototypes-from-expert-rules-1910.06100"/></url>
<url><loc>https://scifaro.com/en/abs/more-powerful-selective-kernel-tests-for-feature-selection-1910.06134</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/more-powerful-selective-kernel-tests-for-feature-selection-1910.06134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/more-powerful-selective-kernel-tests-for-feature-selection-1910.06134"/></url>
<url><loc>https://scifaro.com/en/abs/component-mismatches-are-a-critical-bottleneck-to-fielding-ai-enabled-systems-in-the-public-sector-1910.06136</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/component-mismatches-are-a-critical-bottleneck-to-fielding-ai-enabled-systems-in-the-public-sector-1910.06136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/component-mismatches-are-a-critical-bottleneck-to-fielding-ai-enabled-systems-in-the-public-sector-1910.06136"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-limitations-of-variational-mutual-information-estimators-1910.06222</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-limitations-of-variational-mutual-information-estimators-1910.06222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-limitations-of-variational-mutual-information-estimators-1910.06222"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-calibrated-adversarial-training-generalizing-to-unseen-attacks-1910.06259</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-calibrated-adversarial-training-generalizing-to-unseen-attacks-1910.06259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-calibrated-adversarial-training-generalizing-to-unseen-attacks-1910.06259"/></url>
<url><loc>https://scifaro.com/en/abs/deepsearch-a-simple-and-effective-blackbox-attack-for-deep-neural-networks-1910.06296</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepsearch-a-simple-and-effective-blackbox-attack-for-deep-neural-networks-1910.06296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepsearch-a-simple-and-effective-blackbox-attack-for-deep-neural-networks-1910.06296"/></url>
<url><loc>https://scifaro.com/en/abs/robust-importance-weighting-for-covariate-shift-1910.06324</loc><lastmod>2020-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-importance-weighting-for-covariate-shift-1910.06324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-importance-weighting-for-covariate-shift-1910.06324"/></url>
<url><loc>https://scifaro.com/en/abs/thresholding-bandit-problem-with-both-duels-and-pulls-1910.06368</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thresholding-bandit-problem-with-both-duels-and-pulls-1910.06368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thresholding-bandit-problem-with-both-duels-and-pulls-1910.06368"/></url>
<url><loc>https://scifaro.com/en/abs/scaffold-stochastic-controlled-averaging-for-federated-learning-1910.06378</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaffold-stochastic-controlled-averaging-for-federated-learning-1910.06378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaffold-stochastic-controlled-averaging-for-federated-learning-1910.06378"/></url>
<url><loc>https://scifaro.com/en/abs/botorch-a-framework-for-efficient-monte-carlo-bayesian-optimization-1910.06403</loc><lastmod>2020-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/botorch-a-framework-for-efficient-monte-carlo-bayesian-optimization-1910.06403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/botorch-a-framework-for-efficient-monte-carlo-bayesian-optimization-1910.06403"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-view-of-likelihood-ratio-and-reparameterization-gradients-and-an-optimal-importance-sampling-scheme-1910.06419</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-view-of-likelihood-ratio-and-reparameterization-gradients-and-an-optimal-importance-sampling-scheme-1910.06419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-view-of-likelihood-ratio-and-reparameterization-gradients-and-an-optimal-importance-sampling-scheme-1910.06419"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-pooling-multi-view-attention-autoencoder-for-representation-learning-in-healthcare-1910.06456</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-pooling-multi-view-attention-autoencoder-for-representation-learning-in-healthcare-1910.06456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-pooling-multi-view-attention-autoencoder-for-representation-learning-in-healthcare-1910.06456"/></url>
<url><loc>https://scifaro.com/en/abs/low-bit-rate-speech-coding-with-vq-vae-and-a-wavenet-decoder-1910.06464</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-bit-rate-speech-coding-with-vq-vae-and-a-wavenet-decoder-1910.06464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-bit-rate-speech-coding-with-vq-vae-and-a-wavenet-decoder-1910.06464"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-a-network-of-spiking-agents-1910.06489</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-a-network-of-spiking-agents-1910.06489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-a-network-of-spiking-agents-1910.06489"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-curse-of-horizon-in-off-policy-evaluation-via-conditional-importance-sampling-1910.06508</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-curse-of-horizon-in-off-policy-evaluation-via-conditional-importance-sampling-1910.06508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-curse-of-horizon-in-off-policy-evaluation-via-conditional-importance-sampling-1910.06508"/></url>
<url><loc>https://scifaro.com/en/abs/shapley-homology-topological-analysis-of-sample-influence-for-neural-networks-1910.06509</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shapley-homology-topological-analysis-of-sample-influence-for-neural-networks-1910.06509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shapley-homology-topological-analysis-of-sample-influence-for-neural-networks-1910.06509"/></url>
<url><loc>https://scifaro.com/en/abs/zo-adamm-zeroth-order-adaptive-momentum-method-for-black-box-optimization-1910.06513</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zo-adamm-zeroth-order-adaptive-momentum-method-for-black-box-optimization-1910.06513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zo-adamm-zeroth-order-adaptive-momentum-method-for-black-box-optimization-1910.06513"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-generalizable-prediction-of-flood-susceptibility-1910.06521</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-generalizable-prediction-of-flood-susceptibility-1910.06521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-generalizable-prediction-of-flood-susceptibility-1910.06521"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-step-sizes-in-variance-reduction-via-regularization-1910.06532</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-step-sizes-in-variance-reduction-via-regularization-1910.06532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-step-sizes-in-variance-reduction-via-regularization-1910.06532"/></url>
<url><loc>https://scifaro.com/en/abs/learning-classifiers-on-positive-and-unlabeled-data-with-policy-gradient-1910.06535</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-classifiers-on-positive-and-unlabeled-data-with-policy-gradient-1910.06535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-classifiers-on-positive-and-unlabeled-data-with-policy-gradient-1910.06535"/></url>
<url><loc>https://scifaro.com/en/abs/training-cnns-faster-with-dynamic-input-and-kernel-downsampling-1910.06548</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-cnns-faster-with-dynamic-input-and-kernel-downsampling-1910.06548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-cnns-faster-with-dynamic-input-and-kernel-downsampling-1910.06548"/></url>
<url><loc>https://scifaro.com/en/abs/compacting-picking-and-growing-for-unforgetting-continual-learning-1910.06562</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compacting-picking-and-growing-for-unforgetting-continual-learning-1910.06562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compacting-picking-and-growing-for-unforgetting-continual-learning-1910.06562"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-time-of-arrival-localization-1910.06569</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-time-of-arrival-localization-1910.06569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-time-of-arrival-localization-1910.06569"/></url>
<url><loc>https://scifaro.com/en/abs/msd-kmeans-a-novel-algorithm-for-efficient-detection-of-global-and-local-outliers-1910.06588</loc><lastmod>2023-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/msd-kmeans-a-novel-algorithm-for-efficient-detection-of-global-and-local-outliers-1910.06588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/msd-kmeans-a-novel-algorithm-for-efficient-detection-of-global-and-local-outliers-1910.06588"/></url>
<url><loc>https://scifaro.com/en/abs/seed-rl-scalable-and-efficient-deep-rl-with-accelerated-central-inference-1910.06591</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seed-rl-scalable-and-efficient-deep-rl-with-accelerated-central-inference-1910.06591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seed-rl-scalable-and-efficient-deep-rl-with-accelerated-central-inference-1910.06591"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-the-transformer-with-explicit-relational-encoding-for-math-problem-solving-1910.06611</loc><lastmod>2020-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-the-transformer-with-explicit-relational-encoding-for-math-problem-solving-1910.06611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-the-transformer-with-explicit-relational-encoding-for-math-problem-solving-1910.06611"/></url>
<url><loc>https://scifaro.com/en/abs/safecritic-collision-aware-trajectory-prediction-1910.06673</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safecritic-collision-aware-trajectory-prediction-1910.06673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safecritic-collision-aware-trajectory-prediction-1910.06673"/></url>
<url><loc>https://scifaro.com/en/abs/neural-approximation-of-an-auto-regressive-process-through-confidence-guided-sampling-1910.06705</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-approximation-of-an-auto-regressive-process-through-confidence-guided-sampling-1910.06705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-approximation-of-an-auto-regressive-process-through-confidence-guided-sampling-1910.06705"/></url>
<url><loc>https://scifaro.com/en/abs/testing-and-verification-of-neural-network-based-safety-critical-control-software-a-systematic-literature-review-1910.06715</loc><lastmod>2020-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-and-verification-of-neural-network-based-safety-critical-control-software-a-systematic-literature-review-1910.06715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-and-verification-of-neural-network-based-safety-critical-control-software-a-systematic-literature-review-1910.06715"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-template-systems-data-driven-feature-selection-for-learning-with-persistence-diagrams-1910.06741</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-template-systems-data-driven-feature-selection-for-learning-with-persistence-diagrams-1910.06741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-template-systems-data-driven-feature-selection-for-learning-with-persistence-diagrams-1910.06741"/></url>
<url><loc>https://scifaro.com/en/abs/generic-bounds-on-the-maximum-deviations-in-sequential-prediction-an-information-theoretic-analysis-1910.06742</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generic-bounds-on-the-maximum-deviations-in-sequential-prediction-an-information-theoretic-analysis-1910.06742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generic-bounds-on-the-maximum-deviations-in-sequential-prediction-an-information-theoretic-analysis-1910.06742"/></url>
<url><loc>https://scifaro.com/en/abs/full-scale-continuous-synthetic-sonar-data-generation-with-markov-conditional-generative-adversarial-networks-1910.06750</loc><lastmod>2020-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/full-scale-continuous-synthetic-sonar-data-generation-with-markov-conditional-generative-adversarial-networks-1910.06750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/full-scale-continuous-synthetic-sonar-data-generation-with-markov-conditional-generative-adversarial-networks-1910.06750"/></url>
<url><loc>https://scifaro.com/en/abs/causal-mechanism-transfer-network-for-time-series-domain-adaptation-in-mechanical-systems-1910.06761</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-mechanism-transfer-network-for-time-series-domain-adaptation-in-mechanical-systems-1910.06761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-mechanism-transfer-network-for-time-series-domain-adaptation-in-mechanical-systems-1910.06761"/></url>
<url><loc>https://scifaro.com/en/abs/stabilizing-transformers-for-reinforcement-learning-1910.06764</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilizing-transformers-for-reinforcement-learning-1910.06764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilizing-transformers-for-reinforcement-learning-1910.06764"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-aerosol-forecasting-1910.06789</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-aerosol-forecasting-1910.06789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-aerosol-forecasting-1910.06789"/></url>
<url><loc>https://scifaro.com/en/abs/early-prediction-of-sepsis-from-clinical-datavia-heterogeneous-event-aggregation-1910.06792</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-prediction-of-sepsis-from-clinical-datavia-heterogeneous-event-aggregation-1910.06792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-prediction-of-sepsis-from-clinical-datavia-heterogeneous-event-aggregation-1910.06792"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-for-coalition-operations-1910.06799</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-for-coalition-operations-1910.06799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-for-coalition-operations-1910.06799"/></url>
<url><loc>https://scifaro.com/en/abs/ode-guided-neural-data-augmentation-techniques-for-time-series-data-and-its-benefits-on-robustness-1910.06813</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ode-guided-neural-data-augmentation-techniques-for-time-series-data-and-its-benefits-on-robustness-1910.06813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ode-guided-neural-data-augmentation-techniques-for-time-series-data-and-its-benefits-on-robustness-1910.06813"/></url>
<url><loc>https://scifaro.com/en/abs/reve-regularizing-deep-learning-with-variational-entropy-bound-1910.06816</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reve-regularizing-deep-learning-with-variational-entropy-bound-1910.06816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reve-regularizing-deep-learning-with-variational-entropy-bound-1910.06816"/></url>
<url><loc>https://scifaro.com/en/abs/elementos-da-teoria-de-aprendizagem-de-m-aquina-supervisionada-1910.06820</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elementos-da-teoria-de-aprendizagem-de-m-aquina-supervisionada-1910.06820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elementos-da-teoria-de-aprendizagem-de-m-aquina-supervisionada-1910.06820"/></url>
<url><loc>https://scifaro.com/en/abs/breadth-first-depth-next-training-of-random-forests-1910.06853</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breadth-first-depth-next-training-of-random-forests-1910.06853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breadth-first-depth-next-training-of-random-forests-1910.06853"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-inference-in-discrete-distributions-with-monte-carlo-tree-search-and-value-functions-1910.06862</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-inference-in-discrete-distributions-with-monte-carlo-tree-search-and-value-functions-1910.06862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-inference-in-discrete-distributions-with-monte-carlo-tree-search-and-value-functions-1910.06862"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-classification-uncertainty-using-regularized-evidential-neural-networks-1910.06864</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-classification-uncertainty-using-regularized-evidential-neural-networks-1910.06864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-classification-uncertainty-using-regularized-evidential-neural-networks-1910.06864"/></url>
<url><loc>https://scifaro.com/en/abs/on-higher-order-moments-in-adam-1910.06878</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-higher-order-moments-in-adam-1910.06878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-higher-order-moments-in-adam-1910.06878"/></url>
<url><loc>https://scifaro.com/en/abs/extracting-robust-and-accurate-features-via-a-robust-information-bottleneck-1910.06893</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extracting-robust-and-accurate-features-via-a-robust-information-bottleneck-1910.06893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extracting-robust-and-accurate-features-via-a-robust-information-bottleneck-1910.06893"/></url>
<url><loc>https://scifaro.com/en/abs/techniques-for-adversarial-examples-threatening-the-safety-of-artificial-intelligence-based-systems-1910.06907</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/techniques-for-adversarial-examples-threatening-the-safety-of-artificial-intelligence-based-systems-1910.06907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/techniques-for-adversarial-examples-threatening-the-safety-of-artificial-intelligence-based-systems-1910.06907"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-paper-grammage-prediction-based-on-sensor-measurements-in-paper-mills-1910.06908</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-paper-grammage-prediction-based-on-sensor-measurements-in-paper-mills-1910.06908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-paper-grammage-prediction-based-on-sensor-measurements-in-paper-mills-1910.06908"/></url>
<url><loc>https://scifaro.com/en/abs/overq-opportunistic-outlier-quantization-for-neural-network-accelerators-1910.06909</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overq-opportunistic-outlier-quantization-for-neural-network-accelerators-1910.06909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overq-opportunistic-outlier-quantization-for-neural-network-accelerators-1910.06909"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-penalty-from-a-maximum-margin-perspective-1910.06922</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-penalty-from-a-maximum-margin-perspective-1910.06922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-penalty-from-a-maximum-margin-perspective-1910.06922"/></url>
<url><loc>https://scifaro.com/en/abs/dp-mac-the-differentially-private-method-of-auxiliary-coordinates-for-deep-learning-1910.06924</loc><lastmod>2019-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dp-mac-the-differentially-private-method-of-auxiliary-coordinates-for-deep-learning-1910.06924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dp-mac-the-differentially-private-method-of-auxiliary-coordinates-for-deep-learning-1910.06924"/></url>
<url><loc>https://scifaro.com/en/abs/the-local-elasticity-of-neural-networks-1910.06943</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-local-elasticity-of-neural-networks-1910.06943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-local-elasticity-of-neural-networks-1910.06943"/></url>
<url><loc>https://scifaro.com/en/abs/neural-tangent-kernels-transportation-mappings-and-universal-approximation-1910.06956</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-tangent-kernels-transportation-mappings-and-universal-approximation-1910.06956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-tangent-kernels-transportation-mappings-and-universal-approximation-1910.06956"/></url>
<url><loc>https://scifaro.com/en/abs/how-a-minimal-learning-agent-can-infer-the-existence-of-unobserved-variables-in-a-complex-environment-1910.06985</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-a-minimal-learning-agent-can-infer-the-existence-of-unobserved-variables-in-a-complex-environment-1910.06985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-a-minimal-learning-agent-can-infer-the-existence-of-unobserved-variables-in-a-complex-environment-1910.06985"/></url>
<url><loc>https://scifaro.com/en/abs/reduced-order-modeling-of-deep-neural-networks-1910.06995</loc><lastmod>2020-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reduced-order-modeling-of-deep-neural-networks-1910.06995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reduced-order-modeling-of-deep-neural-networks-1910.06995"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-exploration-in-linear-contextual-bandit-1910.06996</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-exploration-in-linear-contextual-bandit-1910.06996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-exploration-in-linear-contextual-bandit-1910.06996"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-algorithm-recommendation-1910.07012</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-algorithm-recommendation-1910.07012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-algorithm-recommendation-1910.07012"/></url>
<url><loc>https://scifaro.com/en/abs/sgd-learns-one-layer-networks-in-wgans-1910.07030</loc><lastmod>2020-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgd-learns-one-layer-networks-in-wgans-1910.07030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgd-learns-one-layer-networks-in-wgans-1910.07030"/></url>
<url><loc>https://scifaro.com/en/abs/mute-data-similarity-driven-multi-hot-target-encoding-for-neural-network-design-1910.07042</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mute-data-similarity-driven-multi-hot-target-encoding-for-neural-network-design-1910.07042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mute-data-similarity-driven-multi-hot-target-encoding-for-neural-network-design-1910.07042"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-reinforcement-learning-in-infinite-horizon-average-reward-markov-decision-processes-1910.07072</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-reinforcement-learning-in-infinite-horizon-average-reward-markov-decision-processes-1910.07072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-reinforcement-learning-in-infinite-horizon-average-reward-markov-decision-processes-1910.07072"/></url>
<url><loc>https://scifaro.com/en/abs/entire-space-multi-task-modeling-via-post-click-behavior-decomposition-for-conversion-rate-prediction-1910.07099</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entire-space-multi-task-modeling-via-post-click-behavior-decomposition-for-conversion-rate-prediction-1910.07099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entire-space-multi-task-modeling-via-post-click-behavior-decomposition-for-conversion-rate-prediction-1910.07099"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-gradient-descent-for-continual-learning-1910.07104</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-gradient-descent-for-continual-learning-1910.07104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-gradient-descent-for-continual-learning-1910.07104"/></url>
<url><loc>https://scifaro.com/en/abs/solving-rubik-s-cube-with-a-robot-hand-1910.07113</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-rubik-s-cube-with-a-robot-hand-1910.07113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-rubik-s-cube-with-a-robot-hand-1910.07113"/></url>
<url><loc>https://scifaro.com/en/abs/higitclass-keyword-driven-hierarchical-classification-of-github-repositories-1910.07115</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higitclass-keyword-driven-hierarchical-classification-of-github-repositories-1910.07115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higitclass-keyword-driven-hierarchical-classification-of-github-repositories-1910.07115"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-based-semi-supervised-active-learning-towards-minimizing-labeling-cost-1910.07153</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-based-semi-supervised-active-learning-towards-minimizing-labeling-cost-1910.07153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-based-semi-supervised-active-learning-towards-minimizing-labeling-cost-1910.07153"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-learning-of-fair-representations-1910.07162</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-learning-of-fair-representations-1910.07162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-learning-of-fair-representations-1910.07162"/></url>
<url><loc>https://scifaro.com/en/abs/multiclass-spectral-feature-scaling-method-for-dimensionality-reduction-1910.07174</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiclass-spectral-feature-scaling-method-for-dimensionality-reduction-1910.07174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiclass-spectral-feature-scaling-method-for-dimensionality-reduction-1910.07174"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-robust-bias-reduction-in-infinite-horizon-off-policy-estimation-1910.07186</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-robust-bias-reduction-in-infinite-horizon-off-policy-estimation-1910.07186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-robust-bias-reduction-in-infinite-horizon-off-policy-estimation-1910.07186"/></url>
<url><loc>https://scifaro.com/en/abs/soft-actor-critic-for-discrete-action-settings-1910.07207</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-actor-critic-for-discrete-action-settings-1910.07207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-actor-critic-for-discrete-action-settings-1910.07207"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-paradigms-for-the-travelling-salesman-problem-1910.07210</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-paradigms-for-the-travelling-salesman-problem-1910.07210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-paradigms-for-the-travelling-salesman-problem-1910.07210"/></url>
<url><loc>https://scifaro.com/en/abs/teacher-algorithms-for-curriculum-learning-of-deep-rl-in-continuously-parameterized-environments-1910.07224</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/teacher-algorithms-for-curriculum-learning-of-deep-rl-in-continuously-parameterized-environments-1910.07224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/teacher-algorithms-for-curriculum-learning-of-deep-rl-in-continuously-parameterized-environments-1910.07224"/></url>
<url><loc>https://scifaro.com/en/abs/a-notion-of-harmonic-clustering-in-simplicial-complexes-1910.07247</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-notion-of-harmonic-clustering-in-simplicial-complexes-1910.07247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-notion-of-harmonic-clustering-in-simplicial-complexes-1910.07247"/></url>
<url><loc>https://scifaro.com/en/abs/audio-conditioned-u-net-for-position-estimation-in-full-sheet-images-1910.07254</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/audio-conditioned-u-net-for-position-estimation-in-full-sheet-images-1910.07254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/audio-conditioned-u-net-for-position-estimation-in-full-sheet-images-1910.07254"/></url>
<url><loc>https://scifaro.com/en/abs/optimising-individual-treatment-effect-using-bandits-1910.07265</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimising-individual-treatment-effect-using-bandits-1910.07265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimising-individual-treatment-effect-using-bandits-1910.07265"/></url>
<url><loc>https://scifaro.com/en/abs/fishdbc-flexible-incremental-scalable-hierarchical-density-based-clustering-for-arbitrary-data-and-distance-1910.07283</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fishdbc-flexible-incremental-scalable-hierarchical-density-based-clustering-for-arbitrary-data-and-distance-1910.07283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fishdbc-flexible-incremental-scalable-hierarchical-density-based-clustering-for-arbitrary-data-and-distance-1910.07283"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-robotic-manipulation-using-simulated-locomotion-demonstrations-1910.07294</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-robotic-manipulation-using-simulated-locomotion-demonstrations-1910.07294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-robotic-manipulation-using-simulated-locomotion-demonstrations-1910.07294"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-invertible-flow-for-point-cloud-generation-1910.07344</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-invertible-flow-for-point-cloud-generation-1910.07344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-invertible-flow-for-point-cloud-generation-1910.07344"/></url>
<url><loc>https://scifaro.com/en/abs/model-agnostic-meta-learning-using-runge-kutta-methods-1910.07368</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-agnostic-meta-learning-using-runge-kutta-methods-1910.07368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-agnostic-meta-learning-using-runge-kutta-methods-1910.07368"/></url>
<url><loc>https://scifaro.com/en/abs/do-explanations-reflect-decisions-a-machine-centric-strategy-to-quantify-the-performance-of-explainability-algorithms-1910.07387</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-explanations-reflect-decisions-a-machine-centric-strategy-to-quantify-the-performance-of-explainability-algorithms-1910.07387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-explanations-reflect-decisions-a-machine-centric-strategy-to-quantify-the-performance-of-explainability-algorithms-1910.07387"/></url>
<url><loc>https://scifaro.com/en/abs/rugby-bot-utilizing-multi-task-learning-fine-grained-features-for-rugby-league-analysis-1910.07410</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rugby-bot-utilizing-multi-task-learning-fine-grained-features-for-rugby-league-analysis-1910.07410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rugby-bot-utilizing-multi-task-learning-fine-grained-features-for-rugby-league-analysis-1910.07410"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-global-optima-of-kernelized-adversarial-representation-learning-1910.07423</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-global-optima-of-kernelized-adversarial-representation-learning-1910.07423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-global-optima-of-kernelized-adversarial-representation-learning-1910.07423"/></url>
<url><loc>https://scifaro.com/en/abs/an-exponential-learning-rate-schedule-for-deep-learning-1910.07454</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-exponential-learning-rate-schedule-for-deep-learning-1910.07454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-exponential-learning-rate-schedule-for-deep-learning-1910.07454"/></url>
<url><loc>https://scifaro.com/en/abs/creativity-in-robot-manipulation-with-deep-reinforcement-learning-1910.07459</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/creativity-in-robot-manipulation-with-deep-reinforcement-learning-1910.07459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/creativity-in-robot-manipulation-with-deep-reinforcement-learning-1910.07459"/></url>
<url><loc>https://scifaro.com/en/abs/root-mean-square-layer-normalization-1910.07467</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/root-mean-square-layer-normalization-1910.07467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/root-mean-square-layer-normalization-1910.07467"/></url>
<url><loc>https://scifaro.com/en/abs/universal-marginaliser-for-deep-amortised-inference-for-probabilistic-programs-1910.07474</loc><lastmod>2019-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-marginaliser-for-deep-amortised-inference-for-probabilistic-programs-1910.07474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-marginaliser-for-deep-amortised-inference-for-probabilistic-programs-1910.07474"/></url>
<url><loc>https://scifaro.com/en/abs/hidden-unit-specialization-in-layered-neural-networks-relu-vs-sigmoidal-activation-1910.07476</loc><lastmod>2020-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hidden-unit-specialization-in-layered-neural-networks-relu-vs-sigmoidal-activation-1910.07476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hidden-unit-specialization-in-layered-neural-networks-relu-vs-sigmoidal-activation-1910.07476"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-trade-offs-in-off-policy-learning-1910.07478</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-trade-offs-in-off-policy-learning-1910.07478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-trade-offs-in-off-policy-learning-1910.07478"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-importance-sampling-for-off-policy-learning-1910.07479</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-importance-sampling-for-off-policy-learning-1910.07479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-importance-sampling-for-off-policy-learning-1910.07479"/></url>
<url><loc>https://scifaro.com/en/abs/maven-multi-agent-variational-exploration-1910.07483</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maven-multi-agent-variational-exploration-1910.07483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maven-multi-agent-variational-exploration-1910.07483"/></url>
<url><loc>https://scifaro.com/en/abs/embodiment-dictates-learnability-in-neural-controllers-1910.07487</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embodiment-dictates-learnability-in-neural-controllers-1910.07487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embodiment-dictates-learnability-in-neural-controllers-1910.07487"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-learning-for-ecg-based-emotion-recognition-1910.07497</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-learning-for-ecg-based-emotion-recognition-1910.07497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-learning-for-ecg-based-emotion-recognition-1910.07497"/></url>
<url><loc>https://scifaro.com/en/abs/on-solving-minimax-optimization-locally-a-follow-the-ridge-approach-1910.07512</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-solving-minimax-optimization-locally-a-follow-the-ridge-approach-1910.07512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-solving-minimax-optimization-locally-a-follow-the-ridge-approach-1910.07512"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-for-models-of-code-1910.07517</loc><lastmod>2020-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-for-models-of-code-1910.07517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-for-models-of-code-1910.07517"/></url>
<url><loc>https://scifaro.com/en/abs/a-double-residual-compression-algorithm-for-efficient-distributed-learning-1910.07561</loc><lastmod>2020-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-double-residual-compression-algorithm-for-efficient-distributed-learning-1910.07561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-double-residual-compression-algorithm-for-efficient-distributed-learning-1910.07561"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-graph-neural-networks-via-node-feature-propagation-1910.07567</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-graph-neural-networks-via-node-feature-propagation-1910.07567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-graph-neural-networks-via-node-feature-propagation-1910.07567"/></url>
<url><loc>https://scifaro.com/en/abs/learning-chordal-extensions-1910.07600</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-chordal-extensions-1910.07600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-chordal-extensions-1910.07600"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-clustering-by-learning-to-optimize-expected-normalized-cuts-1910.07623</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-clustering-by-learning-to-optimize-expected-normalized-cuts-1910.07623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-clustering-by-learning-to-optimize-expected-normalized-cuts-1910.07623"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-defense-against-adversarial-images-turning-a-weakness-into-a-strength-1910.07629</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-defense-against-adversarial-images-turning-a-weakness-into-a-strength-1910.07629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-defense-against-adversarial-images-turning-a-weakness-into-a-strength-1910.07629"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-transfer-learning-of-multi-view-time-series-classification-1910.07632</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-transfer-learning-of-multi-view-time-series-classification-1910.07632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-transfer-learning-of-multi-view-time-series-classification-1910.07632"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-precipitation-bias-corrector-against-noise-and-maldistribution-1910.07633</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-precipitation-bias-corrector-against-noise-and-maldistribution-1910.07633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-precipitation-bias-corrector-against-noise-and-maldistribution-1910.07633"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-transport-based-generative-autoencoders-1910.07636</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-transport-based-generative-autoencoders-1910.07636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-transport-based-generative-autoencoders-1910.07636"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-graph-convolutional-networks-using-the-tensor-m-product-1910.07643</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-graph-convolutional-networks-using-the-tensor-m-product-1910.07643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-graph-convolutional-networks-using-the-tensor-m-product-1910.07643"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-deterministic-finite-automata-and-recurrent-networks-revisited-1910.07663</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-deterministic-finite-automata-and-recurrent-networks-revisited-1910.07663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-deterministic-finite-automata-and-recurrent-networks-revisited-1910.07663"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-asynchronous-stochastic-frank-wolfe-over-nuclear-norm-balls-1910.07703</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-asynchronous-stochastic-frank-wolfe-over-nuclear-norm-balls-1910.07703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-asynchronous-stochastic-frank-wolfe-over-nuclear-norm-balls-1910.07703"/></url>
<url><loc>https://scifaro.com/en/abs/single-episode-policy-transfer-in-reinforcement-learning-1910.07719</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-episode-policy-transfer-in-reinforcement-learning-1910.07719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-episode-policy-transfer-in-reinforcement-learning-1910.07719"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-filtering-with-label-consistent-restricted-boltzmann-machine-1910.07724</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-filtering-with-label-consistent-restricted-boltzmann-machine-1910.07724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-filtering-with-label-consistent-restricted-boltzmann-machine-1910.07724"/></url>
<url><loc>https://scifaro.com/en/abs/autoregressive-models-what-are-they-good-for-1910.07737</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoregressive-models-what-are-they-good-for-1910.07737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoregressive-models-what-are-they-good-for-1910.07737"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-deep-learning-techniques-for-autonomous-driving-1910.07738</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-deep-learning-techniques-for-autonomous-driving-1910.07738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-deep-learning-techniques-for-autonomous-driving-1910.07738"/></url>
<url><loc>https://scifaro.com/en/abs/mutual-information-driven-subject-invariant-and-class-relevant-deep-representation-learning-in-bci-1910.07747</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mutual-information-driven-subject-invariant-and-class-relevant-deep-representation-learning-in-bci-1910.07747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mutual-information-driven-subject-invariant-and-class-relevant-deep-representation-learning-in-bci-1910.07747"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-the-computational-complexity-of-pseudoinverse-for-the-incremental-broad-learning-system-on-added-inputs-1910.07755</loc><lastmod>2022-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-the-computational-complexity-of-pseudoinverse-for-the-incremental-broad-learning-system-on-added-inputs-1910.07755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-the-computational-complexity-of-pseudoinverse-for-the-incremental-broad-learning-system-on-added-inputs-1910.07755"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-of-experts-variational-autoencoder-for-clustering-and-generating-from-similarity-based-representations-on-single-cell-data-1910.07763</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-of-experts-variational-autoencoder-for-clustering-and-generating-from-similarity-based-representations-on-single-cell-data-1910.07763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-of-experts-variational-autoencoder-for-clustering-and-generating-from-similarity-based-representations-on-single-cell-data-1910.07763"/></url>
<url><loc>https://scifaro.com/en/abs/teaching-vehicles-to-anticipate-a-systematic-study-on-probabilistic-behavior-prediction-using-large-data-sets-1910.07772</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/teaching-vehicles-to-anticipate-a-systematic-study-on-probabilistic-behavior-prediction-using-large-data-sets-1910.07772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/teaching-vehicles-to-anticipate-a-systematic-study-on-probabilistic-behavior-prediction-using-large-data-sets-1910.07772"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-forgetting-in-federated-learning-on-non-iid-data-1910.07796</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-forgetting-in-federated-learning-on-non-iid-data-1910.07796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-forgetting-in-federated-learning-on-non-iid-data-1910.07796"/></url>
<url><loc>https://scifaro.com/en/abs/sharper-bounds-for-uniformly-stable-algorithms-1910.07833</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharper-bounds-for-uniformly-stable-algorithms-1910.07833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharper-bounds-for-uniformly-stable-algorithms-1910.07833"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-density-estimation-based-sampling-for-imbalanced-class-distribution-1910.07842</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-density-estimation-based-sampling-for-imbalanced-class-distribution-1910.07842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-density-estimation-based-sampling-for-imbalanced-class-distribution-1910.07842"/></url>
<url><loc>https://scifaro.com/en/abs/effect-of-superpixel-aggregation-on-explanations-in-lime-a-case-study-with-biological-data-1910.07856</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effect-of-superpixel-aggregation-on-explanations-in-lime-a-case-study-with-biological-data-1910.07856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effect-of-superpixel-aggregation-on-explanations-in-lime-a-case-study-with-biological-data-1910.07856"/></url>
<url><loc>https://scifaro.com/en/abs/wotboost-weighted-oversampling-technique-in-boosting-for-imbalanced-learning-1910.07892</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wotboost-weighted-oversampling-technique-in-boosting-for-imbalanced-learning-1910.07892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wotboost-weighted-oversampling-technique-in-boosting-for-imbalanced-learning-1910.07892"/></url>
<url><loc>https://scifaro.com/en/abs/design-benchmarking-and-explainability-analysis-of-a-game-theoretic-framework-towards-energy-efficiency-in-smart-infrastructure-1910.07899</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/design-benchmarking-and-explainability-analysis-of-a-game-theoretic-framework-towards-energy-efficiency-in-smart-infrastructure-1910.07899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/design-benchmarking-and-explainability-analysis-of-a-game-theoretic-framework-towards-energy-efficiency-in-smart-infrastructure-1910.07899"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-local-regret-for-non-convex-online-forecasting-1910.07927</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-local-regret-for-non-convex-online-forecasting-1910.07927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-local-regret-for-non-convex-online-forecasting-1910.07927"/></url>
<url><loc>https://scifaro.com/en/abs/a-stochastic-variance-reduced-nesterov-s-accelerated-quasi-newton-method-1910.07939</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stochastic-variance-reduced-nesterov-s-accelerated-quasi-newton-method-1910.07939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stochastic-variance-reduced-nesterov-s-accelerated-quasi-newton-method-1910.07939"/></url>
<url><loc>https://scifaro.com/en/abs/on-completeness-aware-concept-based-explanations-in-deep-neural-networks-1910.07969</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-completeness-aware-concept-based-explanations-in-deep-neural-networks-1910.07969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-completeness-aware-concept-based-explanations-in-deep-neural-networks-1910.07969"/></url>
<url><loc>https://scifaro.com/en/abs/combining-machine-learning-models-using-combo-library-1910.07988</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-machine-learning-models-using-combo-library-1910.07988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-machine-learning-models-using-combo-library-1910.07988"/></url>
<url><loc>https://scifaro.com/en/abs/deep-clustering-with-concrete-k-means-1910.08031</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-clustering-with-concrete-k-means-1910.08031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-clustering-with-concrete-k-means-1910.08031"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-retrosynthetic-pathways-using-a-combined-linguistic-model-and-hyper-graph-exploration-strategy-1910.08036</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-retrosynthetic-pathways-using-a-combined-linguistic-model-and-hyper-graph-exploration-strategy-1910.08036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-retrosynthetic-pathways-using-a-combined-linguistic-model-and-hyper-graph-exploration-strategy-1910.08036"/></url>
<url><loc>https://scifaro.com/en/abs/instance-adaptive-adversarial-training-improved-accuracy-tradeoffs-in-neural-nets-1910.08051</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-adaptive-adversarial-training-improved-accuracy-tradeoffs-in-neural-nets-1910.08051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-adaptive-adversarial-training-improved-accuracy-tradeoffs-in-neural-nets-1910.08051"/></url>
<url><loc>https://scifaro.com/en/abs/graph-embedding-vae-a-permutation-invariant-model-of-graph-structure-1910.08057</loc><lastmod>2019-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-embedding-vae-a-permutation-invariant-model-of-graph-structure-1910.08057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-embedding-vae-a-permutation-invariant-model-of-graph-structure-1910.08057"/></url>
<url><loc>https://scifaro.com/en/abs/mapper-based-classifier-1910.08103</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mapper-based-classifier-1910.08103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mapper-based-classifier-1910.08103"/></url>
<url><loc>https://scifaro.com/en/abs/enforcing-linearity-in-dnn-succours-robustness-and-adversarial-image-generation-1910.08108</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enforcing-linearity-in-dnn-succours-robustness-and-adversarial-image-generation-1910.08108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enforcing-linearity-in-dnn-succours-robustness-and-adversarial-image-generation-1910.08108"/></url>
<url><loc>https://scifaro.com/en/abs/anatomically-informed-data-augmentation-for-functional-mri-with-applications-to-deep-learning-1910.08112</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anatomically-informed-data-augmentation-for-functional-mri-with-applications-to-deep-learning-1910.08112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anatomically-informed-data-augmentation-for-functional-mri-with-applications-to-deep-learning-1910.08112"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-policy-learning-with-spatial-temporal-rewarddecomposition-on-contingency-aware-observation-1910.08143</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-policy-learning-with-spatial-temporal-rewarddecomposition-on-contingency-aware-observation-1910.08143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-policy-learning-with-spatial-temporal-rewarddecomposition-on-contingency-aware-observation-1910.08143"/></url>
<url><loc>https://scifaro.com/en/abs/proposing-a-model-for-predicting-passenger-origin-destination-in-online-taxi-hailing-systems-1910.08145</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proposing-a-model-for-predicting-passenger-origin-destination-in-online-taxi-hailing-systems-1910.08145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proposing-a-model-for-predicting-passenger-origin-destination-in-online-taxi-hailing-systems-1910.08145"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-restricted-boltzmann-machine-for-non-intrusive-load-monitoring-1910.08149</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-restricted-boltzmann-machine-for-non-intrusive-load-monitoring-1910.08149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-restricted-boltzmann-machine-for-non-intrusive-load-monitoring-1910.08149"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-discretization-for-episodic-reinforcement-learning-in-metric-spaces-1910.08151</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-discretization-for-episodic-reinforcement-learning-in-metric-spaces-1910.08151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-discretization-for-episodic-reinforcement-learning-in-metric-spaces-1910.08151"/></url>
<url><loc>https://scifaro.com/en/abs/deep-sub-ensembles-for-fast-uncertainty-estimation-in-image-classification-1910.08168</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-sub-ensembles-for-fast-uncertainty-estimation-in-image-classification-1910.08168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-sub-ensembles-for-fast-uncertainty-estimation-in-image-classification-1910.08168"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-combinatorial-losses-through-generalized-gradients-of-linear-programs-1910.08211</loc><lastmod>2020-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-combinatorial-losses-through-generalized-gradients-of-linear-programs-1910.08211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-combinatorial-losses-through-generalized-gradients-of-linear-programs-1910.08211"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-based-framework-for-the-detection-of-schools-of-herring-in-echograms-1910.08215</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-based-framework-for-the-detection-of-schools-of-herring-in-echograms-1910.08215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-based-framework-for-the-detection-of-schools-of-herring-in-echograms-1910.08215"/></url>
<url><loc>https://scifaro.com/en/abs/a-language-processing-algorithm-for-predicting-tactical-solutions-to-an-operational-planning-problem-under-uncertainty-1910.08216</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-language-processing-algorithm-for-predicting-tactical-solutions-to-an-operational-planning-problem-under-uncertainty-1910.08216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-language-processing-algorithm-for-predicting-tactical-solutions-to-an-operational-planning-problem-under-uncertainty-1910.08216"/></url>
<url><loc>https://scifaro.com/en/abs/jscn-joint-spectral-convolutional-network-for-cross-domain-recommendation-1910.08219</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jscn-joint-spectral-convolutional-network-for-cross-domain-recommendation-1910.08219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jscn-joint-spectral-convolutional-network-for-cross-domain-recommendation-1910.08219"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-convergence-of-sgd-through-adaptive-batch-sizes-1910.08222</loc><lastmod>2023-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-convergence-of-sgd-through-adaptive-batch-sizes-1910.08222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-convergence-of-sgd-through-adaptive-batch-sizes-1910.08222"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-unbiased-gradient-aggregation-and-controllable-meta-updating-1910.08234</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-unbiased-gradient-aggregation-and-controllable-meta-updating-1910.08234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-unbiased-gradient-aggregation-and-controllable-meta-updating-1910.08234"/></url>
<url><loc>https://scifaro.com/en/abs/mirror-descent-view-for-neural-network-quantization-1910.08237</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mirror-descent-view-for-neural-network-quantization-1910.08237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mirror-descent-view-for-neural-network-quantization-1910.08237"/></url>
<url><loc>https://scifaro.com/en/abs/learning-compositional-koopman-operators-for-model-based-control-1910.08264</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-compositional-koopman-operators-for-model-based-control-1910.08264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-compositional-koopman-operators-for-model-based-control-1910.08264"/></url>
<url><loc>https://scifaro.com/en/abs/b-bit-sketch-trie-scalable-similarity-search-on-integer-sketches-1910.08278</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/b-bit-sketch-trie-scalable-similarity-search-on-integer-sketches-1910.08278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/b-bit-sketch-trie-scalable-similarity-search-on-integer-sketches-1910.08278"/></url>
<url><loc>https://scifaro.com/en/abs/point-process-flows-1910.08281</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/point-process-flows-1910.08281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/point-process-flows-1910.08281"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-reinforcement-learning-1910.08285</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-reinforcement-learning-1910.08285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-reinforcement-learning-1910.08285"/></url>
<url><loc>https://scifaro.com/en/abs/a-multilabel-classification-framework-for-approximate-nearest-neighbor-search-1910.08322</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multilabel-classification-framework-for-approximate-nearest-neighbor-search-1910.08322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multilabel-classification-framework-for-approximate-nearest-neighbor-search-1910.08322"/></url>
<url><loc>https://scifaro.com/en/abs/a-topological-reading-lesson-classification-of-mnist-using-tda-1910.08345</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-topological-reading-lesson-classification-of-mnist-using-tda-1910.08345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-topological-reading-lesson-classification-of-mnist-using-tda-1910.08345"/></url>
<url><loc>https://scifaro.com/en/abs/varibad-a-very-good-method-for-bayes-adaptive-deep-rl-via-meta-learning-1910.08348</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/varibad-a-very-good-method-for-bayes-adaptive-deep-rl-via-meta-learning-1910.08348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/varibad-a-very-good-method-for-bayes-adaptive-deep-rl-via-meta-learning-1910.08348"/></url>
<url><loc>https://scifaro.com/en/abs/graph-convolutional-policy-for-solving-tree-decomposition-via-reinforcement-learning-heuristics-1910.08371</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-convolutional-policy-for-solving-tree-decomposition-via-reinforcement-learning-heuristics-1910.08371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-convolutional-policy-for-solving-tree-decomposition-via-reinforcement-learning-heuristics-1910.08371"/></url>
<url><loc>https://scifaro.com/en/abs/fully-parallel-hyperparameter-search-reshaped-space-filling-1910.08406</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-parallel-hyperparameter-search-reshaped-space-filling-1910.08406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-parallel-hyperparameter-search-reshaped-space-filling-1910.08406"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sample-complexity-of-actor-critic-method-for-reinforcement-learning-with-function-approximation-1910.08412</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-actor-critic-method-for-reinforcement-learning-with-function-approximation-1910.08412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-actor-critic-method-for-reinforcement-learning-with-function-approximation-1910.08412"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-context-aware-learning-and-discovery-for-streaming-data-analytics-1910.08438</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-context-aware-learning-and-discovery-for-streaming-data-analytics-1910.08438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-context-aware-learning-and-discovery-for-streaming-data-analytics-1910.08438"/></url>
<url><loc>https://scifaro.com/en/abs/autonomous-exploration-for-navigating-in-non-stationary-cmps-1910.08446</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autonomous-exploration-for-navigating-in-non-stationary-cmps-1910.08446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autonomous-exploration-for-navigating-in-non-stationary-cmps-1910.08446"/></url>
<url><loc>https://scifaro.com/en/abs/first-order-preconditioning-via-hypergradient-descent-1910.08461</loc><lastmod>2020-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/first-order-preconditioning-via-hypergradient-descent-1910.08461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/first-order-preconditioning-via-hypergradient-descent-1910.08461"/></url>
<url><loc>https://scifaro.com/en/abs/on-warm-starting-neural-network-training-1910.08475</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-warm-starting-neural-network-training-1910.08475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-warm-starting-neural-network-training-1910.08475"/></url>
<url><loc>https://scifaro.com/en/abs/on-connections-between-constrained-optimization-and-reinforcement-learning-1910.08476</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-connections-between-constrained-optimization-and-reinforcement-learning-1910.08476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-connections-between-constrained-optimization-and-reinforcement-learning-1910.08476"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-federated-bayesian-learning-of-a-generative-model-for-imbalanced-classification-of-clinical-data-1910.08489</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-federated-bayesian-learning-of-a-generative-model-for-imbalanced-classification-of-clinical-data-1910.08489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-federated-bayesian-learning-of-a-generative-model-for-imbalanced-classification-of-clinical-data-1910.08489"/></url>
<url><loc>https://scifaro.com/en/abs/texture-bias-of-cnns-limits-few-shot-classification-performance-1910.08519</loc><lastmod>2019-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/texture-bias-of-cnns-limits-few-shot-classification-performance-1910.08519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/texture-bias-of-cnns-limits-few-shot-classification-performance-1910.08519"/></url>
<url><loc>https://scifaro.com/en/abs/marthe-scheduling-the-learning-rate-via-online-hypergradients-1910.08525</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marthe-scheduling-the-learning-rate-via-online-hypergradients-1910.08525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marthe-scheduling-the-learning-rate-via-online-hypergradients-1910.08525"/></url>
<url><loc>https://scifaro.com/en/abs/masked-gradient-based-causal-structure-learning-1910.08527</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/masked-gradient-based-causal-structure-learning-1910.08527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/masked-gradient-based-causal-structure-learning-1910.08527"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-using-adversarial-training-with-good-and-bad-samples-1910.08540</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-using-adversarial-training-with-good-and-bad-samples-1910.08540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-using-adversarial-training-with-good-and-bad-samples-1910.08540"/></url>
<url><loc>https://scifaro.com/en/abs/towards-quantifying-intrinsic-generalization-of-deep-relu-networks-1910.08581</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-quantifying-intrinsic-generalization-of-deep-relu-networks-1910.08581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-quantifying-intrinsic-generalization-of-deep-relu-networks-1910.08581"/></url>
<url><loc>https://scifaro.com/en/abs/decoupling-feature-propagation-from-the-design-of-graph-auto-encoders-1910.08589</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupling-feature-propagation-from-the-design-of-graph-auto-encoders-1910.08589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupling-feature-propagation-from-the-design-of-graph-auto-encoders-1910.08589"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-the-most-explainable-classifier-1910.08595</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-the-most-explainable-classifier-1910.08595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-the-most-explainable-classifier-1910.08595"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-saddle-point-dynamical-system-approach-to-robust-deep-learning-1910.08623</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-saddle-point-dynamical-system-approach-to-robust-deep-learning-1910.08623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-saddle-point-dynamical-system-approach-to-robust-deep-learning-1910.08623"/></url>
<url><loc>https://scifaro.com/en/abs/tree-based-intelligent-intrusion-detection-system-in-internet-of-vehicles-1910.08635</loc><lastmod>2022-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-based-intelligent-intrusion-detection-system-in-internet-of-vehicles-1910.08635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-based-intelligent-intrusion-detection-system-in-internet-of-vehicles-1910.08635"/></url>
<url><loc>https://scifaro.com/en/abs/the-tcga-meta-dataset-clinical-benchmark-1910.08636</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-tcga-meta-dataset-clinical-benchmark-1910.08636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-tcga-meta-dataset-clinical-benchmark-1910.08636"/></url>
<url><loc>https://scifaro.com/en/abs/offworld-gym-open-access-physical-robotics-environment-for-real-world-reinforcement-learning-benchmark-and-research-1910.08639</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offworld-gym-open-access-physical-robotics-environment-for-real-world-reinforcement-learning-benchmark-and-research-1910.08639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offworld-gym-open-access-physical-robotics-environment-for-real-world-reinforcement-learning-benchmark-and-research-1910.08639"/></url>
<url><loc>https://scifaro.com/en/abs/are-perceptually-aligned-gradients-a-general-property-of-robust-classifiers-1910.08640</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-perceptually-aligned-gradients-a-general-property-of-robust-classifiers-1910.08640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-perceptually-aligned-gradients-a-general-property-of-robust-classifiers-1910.08640"/></url>
<url><loc>https://scifaro.com/en/abs/toward-metrics-for-differentiating-out-of-distribution-sets-1910.08650</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-metrics-for-differentiating-out-of-distribution-sets-1910.08650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-metrics-for-differentiating-out-of-distribution-sets-1910.08650"/></url>
<url><loc>https://scifaro.com/en/abs/pytorchpipe-a-framework-for-rapid-prototyping-of-pipelines-combining-language-and-vision-1910.08654</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pytorchpipe-a-framework-for-rapid-prototyping-of-pipelines-combining-language-and-vision-1910.08654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pytorchpipe-a-framework-for-rapid-prototyping-of-pipelines-combining-language-and-vision-1910.08654"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-systems-for-highly-distributed-and-rapidly-growing-data-1910.08663</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-systems-for-highly-distributed-and-rapidly-growing-data-1910.08663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-systems-for-highly-distributed-and-rapidly-growing-data-1910.08663"/></url>
<url><loc>https://scifaro.com/en/abs/nasib-neural-architecture-search-within-budget-1910.08665</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nasib-neural-architecture-search-within-budget-1910.08665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nasib-neural-architecture-search-within-budget-1910.08665"/></url>
<url><loc>https://scifaro.com/en/abs/context-driven-data-mining-through-bias-removal-and-data-incompleteness-mitigation-1910.08670</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-driven-data-mining-through-bias-removal-and-data-incompleteness-mitigation-1910.08670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-driven-data-mining-through-bias-removal-and-data-incompleteness-mitigation-1910.08670"/></url>
<url><loc>https://scifaro.com/en/abs/elsa-a-throughput-optimized-design-of-an-lstm-accelerator-for-energy-constrained-devices-1910.08683</loc><lastmod>2020-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elsa-a-throughput-optimized-design-of-an-lstm-accelerator-for-energy-constrained-devices-1910.08683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elsa-a-throughput-optimized-design-of-an-lstm-accelerator-for-energy-constrained-devices-1910.08683"/></url>
<url><loc>https://scifaro.com/en/abs/online-pricing-with-offline-data-phase-transition-and-inverse-square-law-1910.08693</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-pricing-with-offline-data-phase-transition-and-inverse-square-law-1910.08693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-pricing-with-offline-data-phase-transition-and-inverse-square-law-1910.08693"/></url>
<url><loc>https://scifaro.com/en/abs/introduction-to-coresets-accurate-coresets-1910.08707</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introduction-to-coresets-accurate-coresets-1910.08707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introduction-to-coresets-accurate-coresets-1910.08707"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-ai-deep-reinforcement-learning-agents-for-residential-demand-side-cost-savings-in-smart-grids-1910.08719</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-ai-deep-reinforcement-learning-agents-for-residential-demand-side-cost-savings-in-smart-grids-1910.08719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-ai-deep-reinforcement-learning-agents-for-residential-demand-side-cost-savings-in-smart-grids-1910.08719"/></url>
<url><loc>https://scifaro.com/en/abs/neural-spectrum-alignment-empirical-study-1910.08720</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-spectrum-alignment-empirical-study-1910.08720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-spectrum-alignment-empirical-study-1910.08720"/></url>
<url><loc>https://scifaro.com/en/abs/creditprint-credit-investigation-via-geographic-footprints-by-deep-learning-1910.08734</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/creditprint-credit-investigation-via-geographic-footprints-by-deep-learning-1910.08734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/creditprint-credit-investigation-via-geographic-footprints-by-deep-learning-1910.08734"/></url>
<url><loc>https://scifaro.com/en/abs/reverse-experience-replay-1910.08780</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reverse-experience-replay-1910.08780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reverse-experience-replay-1910.08780"/></url>
<url><loc>https://scifaro.com/en/abs/on-adaptivity-in-information-constrained-online-learning-1910.08805</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-adaptivity-in-information-constrained-online-learning-1910.08805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-adaptivity-in-information-constrained-online-learning-1910.08805"/></url>
<url><loc>https://scifaro.com/en/abs/a-structured-prediction-approach-for-generalization-in-cooperative-multi-agent-reinforcement-learning-1910.08809</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-structured-prediction-approach-for-generalization-in-cooperative-multi-agent-reinforcement-learning-1910.08809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-structured-prediction-approach-for-generalization-in-cooperative-multi-agent-reinforcement-learning-1910.08809"/></url>
<url><loc>https://scifaro.com/en/abs/dictionary-learning-with-almost-sure-error-constraints-1910.08828</loc><lastmod>2020-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dictionary-learning-with-almost-sure-error-constraints-1910.08828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dictionary-learning-with-almost-sure-error-constraints-1910.08828"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-ac-optimal-power-flow-1910.08842</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-ac-optimal-power-flow-1910.08842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-ac-optimal-power-flow-1910.08842"/></url>
<url><loc>https://scifaro.com/en/abs/lstm-assisted-evolutionary-self-expressive-subspace-clustering-1910.08862</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lstm-assisted-evolutionary-self-expressive-subspace-clustering-1910.08862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lstm-assisted-evolutionary-self-expressive-subspace-clustering-1910.08862"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-interaction-clusters-using-a-semi-supervised-hierarchical-clustering-method-1910.08864</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-interaction-clusters-using-a-semi-supervised-hierarchical-clustering-method-1910.08864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-interaction-clusters-using-a-semi-supervised-hierarchical-clustering-method-1910.08864"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-and-utility-preserving-textual-analysis-via-calibrated-multivariate-perturbations-1910.08902</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-and-utility-preserving-textual-analysis-via-calibrated-multivariate-perturbations-1910.08902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-and-utility-preserving-textual-analysis-via-calibrated-multivariate-perturbations-1910.08902"/></url>
<url><loc>https://scifaro.com/en/abs/self-adaptive-network-pruning-1910.08906</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-adaptive-network-pruning-1910.08906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-adaptive-network-pruning-1910.08906"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-dense-subspace-clustering-1910.08909</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-dense-subspace-clustering-1910.08909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-dense-subspace-clustering-1910.08909"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-hierarchical-representations-for-preserving-privacy-and-utility-in-text-1910.08917</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-hierarchical-representations-for-preserving-privacy-and-utility-in-text-1910.08917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-hierarchical-representations-for-preserving-privacy-and-utility-in-text-1910.08917"/></url>
<url><loc>https://scifaro.com/en/abs/neuro-serket-development-of-integrative-cognitive-system-through-the-composition-of-deep-probabilistic-generative-models-1910.08918</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuro-serket-development-of-integrative-cognitive-system-through-the-composition-of-deep-probabilistic-generative-models-1910.08918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuro-serket-development-of-integrative-cognitive-system-through-the-composition-of-deep-probabilistic-generative-models-1910.08918"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-ice-flow-using-machine-learning-1910.08922</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-ice-flow-using-machine-learning-1910.08922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-ice-flow-using-machine-learning-1910.08922"/></url>
<url><loc>https://scifaro.com/en/abs/policy-learning-for-malaria-control-1910.08926</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-learning-for-malaria-control-1910.08926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-learning-for-malaria-control-1910.08926"/></url>
<url><loc>https://scifaro.com/en/abs/online-bagging-for-anytime-transfer-learning-1910.08945</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-bagging-for-anytime-transfer-learning-1910.08945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-bagging-for-anytime-transfer-learning-1910.08945"/></url>
<url><loc>https://scifaro.com/en/abs/towards-further-understanding-of-sparse-filtering-via-information-bottleneck-1910.08964</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-further-understanding-of-sparse-filtering-via-information-bottleneck-1910.08964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-further-understanding-of-sparse-filtering-via-information-bottleneck-1910.08964"/></url>
<url><loc>https://scifaro.com/en/abs/learning-gans-and-ensembles-using-discrepancy-1910.08965</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-gans-and-ensembles-using-discrepancy-1910.08965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-gans-and-ensembles-using-discrepancy-1910.08965"/></url>
<url><loc>https://scifaro.com/en/abs/image-difficulty-curriculum-for-generative-adversarial-networks-cugan-1910.08967</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/image-difficulty-curriculum-for-generative-adversarial-networks-cugan-1910.08967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/image-difficulty-curriculum-for-generative-adversarial-networks-cugan-1910.08967"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-overfitting-in-supervised-classification-from-two-unlabeled-datasets-a-consistent-risk-correction-approach-1910.08974</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-overfitting-in-supervised-classification-from-two-unlabeled-datasets-a-consistent-risk-correction-approach-1910.08974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-overfitting-in-supervised-classification-from-two-unlabeled-datasets-a-consistent-risk-correction-approach-1910.08974"/></url>
<url><loc>https://scifaro.com/en/abs/diverse-behavior-is-what-game-ai-needs-generating-varied-human-like-playing-styles-using-evolutionary-multi-objective-deep-reinforcement-learning-1910.09022</loc><lastmod>2020-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diverse-behavior-is-what-game-ai-needs-generating-varied-human-like-playing-styles-using-evolutionary-multi-objective-deep-reinforcement-learning-1910.09022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diverse-behavior-is-what-game-ai-needs-generating-varied-human-like-playing-styles-using-evolutionary-multi-objective-deep-reinforcement-learning-1910.09022"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-network-weight-separability-via-feed-backward-reconstruction-1910.09024</loc><lastmod>2020-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-network-weight-separability-via-feed-backward-reconstruction-1910.09024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-network-weight-separability-via-feed-backward-reconstruction-1910.09024"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-deep-clustering-with-cluster-size-constraints-1910.09036</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-deep-clustering-with-cluster-size-constraints-1910.09036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-deep-clustering-with-cluster-size-constraints-1910.09036"/></url>
<url><loc>https://scifaro.com/en/abs/landing-probabilities-of-random-walks-for-seed-set-expansion-in-hypergraphs-1910.09040</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/landing-probabilities-of-random-walks-for-seed-set-expansion-in-hypergraphs-1910.09040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/landing-probabilities-of-random-walks-for-seed-set-expansion-in-hypergraphs-1910.09040"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-both-experts-and-data-1910.09043</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-both-experts-and-data-1910.09043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-both-experts-and-data-1910.09043"/></url>
<url><loc>https://scifaro.com/en/abs/image-recognition-from-raw-labels-collected-without-annotators-1910.09055</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/image-recognition-from-raw-labels-collected-without-annotators-1910.09055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/image-recognition-from-raw-labels-collected-without-annotators-1910.09055"/></url>
<url><loc>https://scifaro.com/en/abs/amortized-rejection-sampling-in-universal-probabilistic-programming-1910.09056</loc><lastmod>2022-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortized-rejection-sampling-in-universal-probabilistic-programming-1910.09056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortized-rejection-sampling-in-universal-probabilistic-programming-1910.09056"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-recognition-via-optimal-transport-1910.09057</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-recognition-via-optimal-transport-1910.09057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-recognition-via-optimal-transport-1910.09057"/></url>
<url><loc>https://scifaro.com/en/abs/from-importance-sampling-to-doubly-robust-policy-gradient-1910.09066</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-importance-sampling-to-doubly-robust-policy-gradient-1910.09066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-importance-sampling-to-doubly-robust-policy-gradient-1910.09066"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-prediction-difference-analysis-for-explaining-individual-image-classifications-1910.09086</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-prediction-difference-analysis-for-explaining-individual-image-classifications-1910.09086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-prediction-difference-analysis-for-explaining-individual-image-classifications-1910.09086"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-heterogeneous-multi-player-multi-armed-bandits-with-non-zero-rewards-on-collisions-1910.09089</loc><lastmod>2021-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-heterogeneous-multi-player-multi-armed-bandits-with-non-zero-rewards-on-collisions-1910.09089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-heterogeneous-multi-player-multi-armed-bandits-with-non-zero-rewards-on-collisions-1910.09089"/></url>
<url><loc>https://scifaro.com/en/abs/a-game-method-for-improving-the-interpretability-of-convolution-neural-network-1910.09090</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-game-method-for-improving-the-interpretability-of-convolution-neural-network-1910.09090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-game-method-for-improving-the-interpretability-of-convolution-neural-network-1910.09090"/></url>
<url><loc>https://scifaro.com/en/abs/fast-exact-matrix-completion-a-unified-optimization-framework-for-matrix-completion-1910.09092</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-exact-matrix-completion-a-unified-optimization-framework-for-matrix-completion-1910.09092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-exact-matrix-completion-a-unified-optimization-framework-for-matrix-completion-1910.09092"/></url>
<url><loc>https://scifaro.com/en/abs/all-action-policy-gradient-methods-a-numerical-integration-approach-1910.09093</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/all-action-policy-gradient-methods-a-numerical-integration-approach-1910.09093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/all-action-policy-gradient-methods-a-numerical-integration-approach-1910.09093"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-mapping-functionality-of-neural-networks-via-latent-feature-generation-based-on-reversible-learning-1910.09108</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-mapping-functionality-of-neural-networks-via-latent-feature-generation-based-on-reversible-learning-1910.09108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-mapping-functionality-of-neural-networks-via-latent-feature-generation-based-on-reversible-learning-1910.09108"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-the-compositional-structure-of-vector-representations-with-role-learning-networks-1910.09113</loc><lastmod>2023-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-the-compositional-structure-of-vector-representations-with-role-learning-networks-1910.09113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-the-compositional-structure-of-vector-representations-with-role-learning-networks-1910.09113"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-out-of-distribution-detection-with-batch-normalization-1910.09115</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-out-of-distribution-detection-with-batch-normalization-1910.09115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-out-of-distribution-detection-with-batch-normalization-1910.09115"/></url>
<url><loc>https://scifaro.com/en/abs/generative-hierarchical-models-for-parts-objects-and-scenes-1910.09119</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-hierarchical-models-for-parts-objects-and-scenes-1910.09119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-hierarchical-models-for-parts-objects-and-scenes-1910.09119"/></url>
<url><loc>https://scifaro.com/en/abs/perception-distortion-trade-off-with-restricted-boltzmann-machines-1910.09122</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perception-distortion-trade-off-with-restricted-boltzmann-machines-1910.09122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perception-distortion-trade-off-with-restricted-boltzmann-machines-1910.09122"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-framework-for-multi-agent-reinforcement-learning-centralized-training-and-exploration-with-decentralized-execution-via-policy-distillation-1910.09152</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-framework-for-multi-agent-reinforcement-learning-centralized-training-and-exploration-with-decentralized-execution-via-policy-distillation-1910.09152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-framework-for-multi-agent-reinforcement-learning-centralized-training-and-exploration-with-decentralized-execution-via-policy-distillation-1910.09152"/></url>
<url><loc>https://scifaro.com/en/abs/implementation-of-a-modified-nesterov-s-accelerated-quasi-newton-method-on-tensorflow-1910.09158</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementation-of-a-modified-nesterov-s-accelerated-quasi-newton-method-on-tensorflow-1910.09158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementation-of-a-modified-nesterov-s-accelerated-quasi-newton-method-on-tensorflow-1910.09158"/></url>
<url><loc>https://scifaro.com/en/abs/a-nu-support-vector-quantile-regression-model-with-automatic-accuracy-control-1910.09168</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nu-support-vector-quantile-regression-model-with-automatic-accuracy-control-1910.09168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nu-support-vector-quantile-regression-model-with-automatic-accuracy-control-1910.09168"/></url>
<url><loc>https://scifaro.com/en/abs/mining-gold-samples-for-conditional-gans-1910.09170</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-gold-samples-for-conditional-gans-1910.09170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-gold-samples-for-conditional-gans-1910.09170"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-matters-in-policy-optimization-1910.09191</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-matters-in-policy-optimization-1910.09191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-matters-in-policy-optimization-1910.09191"/></url>
<url><loc>https://scifaro.com/en/abs/aggregated-gradient-langevin-dynamics-1910.09223</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregated-gradient-langevin-dynamics-1910.09223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregated-gradient-langevin-dynamics-1910.09223"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-localized-adversarial-attacks-1910.09239</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-localized-adversarial-attacks-1910.09239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-localized-adversarial-attacks-1910.09239"/></url>
<url><loc>https://scifaro.com/en/abs/who-wants-accurate-models-arguing-for-a-different-metrics-to-take-classification-models-seriously-1910.09246</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/who-wants-accurate-models-arguing-for-a-different-metrics-to-take-classification-models-seriously-1910.09246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/who-wants-accurate-models-arguing-for-a-different-metrics-to-take-classification-models-seriously-1910.09246"/></url>
<url><loc>https://scifaro.com/en/abs/dealing-with-sparse-rewards-in-reinforcement-learning-1910.09281</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dealing-with-sparse-rewards-in-reinforcement-learning-1910.09281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dealing-with-sparse-rewards-in-reinforcement-learning-1910.09281"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-capabilities-of-neural-networks-on-unbounded-domains-1910.09293</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-capabilities-of-neural-networks-on-unbounded-domains-1910.09293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-capabilities-of-neural-networks-on-unbounded-domains-1910.09293"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hierarchical-feature-space-using-class-specific-subspace-multiple-kernel-metric-learning-for-classification-1910.09309</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hierarchical-feature-space-using-class-specific-subspace-multiple-kernel-metric-learning-for-classification-1910.09309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hierarchical-feature-space-using-class-specific-subspace-multiple-kernel-metric-learning-for-classification-1910.09309"/></url>
<url><loc>https://scifaro.com/en/abs/pricing-mechanism-for-resource-sustainability-in-competitive-online-learning-multi-agent-systems-1910.09314</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pricing-mechanism-for-resource-sustainability-in-competitive-online-learning-multi-agent-systems-1910.09314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pricing-mechanism-for-resource-sustainability-in-competitive-online-learning-multi-agent-systems-1910.09314"/></url>
<url><loc>https://scifaro.com/en/abs/momentum-in-reinforcement-learning-1910.09322</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/momentum-in-reinforcement-learning-1910.09322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/momentum-in-reinforcement-learning-1910.09322"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-attentive-neural-process-for-sequential-data-1910.09323</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-attentive-neural-process-for-sequential-data-1910.09323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-attentive-neural-process-for-sequential-data-1910.09323"/></url>
<url><loc>https://scifaro.com/en/abs/integrals-over-gaussians-under-linear-domain-constraints-1910.09328</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrals-over-gaussians-under-linear-domain-constraints-1910.09328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrals-over-gaussians-under-linear-domain-constraints-1910.09328"/></url>
<url><loc>https://scifaro.com/en/abs/an-alternative-surrogate-loss-for-pgd-based-adversarial-testing-1910.09338</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-alternative-surrogate-loss-for-pgd-based-adversarial-testing-1910.09338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-alternative-surrogate-loss-for-pgd-based-adversarial-testing-1910.09338"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-boosted-decision-tree-neural-network-1910.09340</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-boosted-decision-tree-neural-network-1910.09340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-boosted-decision-tree-neural-network-1910.09340"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-sampling-using-an-accelerated-metropolis-hastings-based-on-bayesian-optimization-and-gaussian-processes-1910.09347</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-sampling-using-an-accelerated-metropolis-hastings-based-on-bayesian-optimization-and-gaussian-processes-1910.09347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-sampling-using-an-accelerated-metropolis-hastings-based-on-bayesian-optimization-and-gaussian-processes-1910.09347"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-investigation-of-composite-neural-network-1910.09351</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-investigation-of-composite-neural-network-1910.09351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-investigation-of-composite-neural-network-1910.09351"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-machine-learning-based-ensemble-model-for-accurate-prediction-of-type-2-diabetes-1910.09356</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-machine-learning-based-ensemble-model-for-accurate-prediction-of-type-2-diabetes-1910.09356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-machine-learning-based-ensemble-model-for-accurate-prediction-of-type-2-diabetes-1910.09356"/></url>
<url><loc>https://scifaro.com/en/abs/task-based-learning-via-task-oriented-prediction-network-with-applications-in-finance-1910.09357</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-based-learning-via-task-oriented-prediction-network-with-applications-in-finance-1910.09357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-based-learning-via-task-oriented-prediction-network-with-applications-in-finance-1910.09357"/></url>
<url><loc>https://scifaro.com/en/abs/a-decision-theoretic-approach-for-model-interpretability-in-bayesian-framework-1910.09358</loc><lastmod>2020-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-decision-theoretic-approach-for-model-interpretability-in-bayesian-framework-1910.09358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-decision-theoretic-approach-for-model-interpretability-in-bayesian-framework-1910.09358"/></url>
<url><loc>https://scifaro.com/en/abs/building-efficient-cnns-using-depthwise-convolutional-eigen-filters-decef-1910.09359</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-efficient-cnns-using-depthwise-convolutional-eigen-filters-decef-1910.09359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-efficient-cnns-using-depthwise-convolutional-eigen-filters-decef-1910.09359"/></url>
<url><loc>https://scifaro.com/en/abs/movienet-a-movie-multilayer-network-model-using-visual-and-textual-semantic-cues-1910.09368</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/movienet-a-movie-multilayer-network-model-using-visual-and-textual-semantic-cues-1910.09368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/movienet-a-movie-multilayer-network-model-using-visual-and-textual-semantic-cues-1910.09368"/></url>
<url><loc>https://scifaro.com/en/abs/neighborhood-and-graph-constructions-using-non-negative-kernel-regression-1910.09383</loc><lastmod>2023-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neighborhood-and-graph-constructions-using-non-negative-kernel-regression-1910.09383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neighborhood-and-graph-constructions-using-non-negative-kernel-regression-1910.09383"/></url>
<url><loc>https://scifaro.com/en/abs/an-unbiased-risk-estimator-for-learning-with-augmented-classes-1910.09388</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-unbiased-risk-estimator-for-learning-with-augmented-classes-1910.09388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-unbiased-risk-estimator-for-learning-with-augmented-classes-1910.09388"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-projection-free-online-methods-with-stochastic-recursive-gradient-1910.09396</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-projection-free-online-methods-with-stochastic-recursive-gradient-1910.09396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-projection-free-online-methods-with-stochastic-recursive-gradient-1910.09396"/></url>
<url><loc>https://scifaro.com/en/abs/learning-model-agnostic-counterfactual-explanations-for-tabular-data-1910.09398</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-model-agnostic-counterfactual-explanations-for-tabular-data-1910.09398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-model-agnostic-counterfactual-explanations-for-tabular-data-1910.09398"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-basis-path-set-in-neural-networks-1910.09402</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-basis-path-set-in-neural-networks-1910.09402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-basis-path-set-in-neural-networks-1910.09402"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-probability-theorem-a-framework-for-probabilistic-learning-1910.09417</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-probability-theorem-a-framework-for-probabilistic-learning-1910.09417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-probability-theorem-a-framework-for-probabilistic-learning-1910.09417"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-learning-via-simultaneous-generating-and-learning-1910.09446</loc><lastmod>2019-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-learning-via-simultaneous-generating-and-learning-1910.09446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-learning-via-simultaneous-generating-and-learning-1910.09446"/></url>
<url><loc>https://scifaro.com/en/abs/higher-improving-instruction-following-with-hindsight-generation-for-experience-replay-1910.09451</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higher-improving-instruction-following-with-hindsight-generation-for-experience-replay-1910.09451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higher-improving-instruction-following-with-hindsight-generation-for-experience-replay-1910.09451"/></url>
<url><loc>https://scifaro.com/en/abs/aleatoric-and-epistemic-uncertainty-in-machine-learning-an-introduction-to-concepts-and-methods-1910.09457</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aleatoric-and-epistemic-uncertainty-in-machine-learning-an-introduction-to-concepts-and-methods-1910.09457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aleatoric-and-epistemic-uncertainty-in-machine-learning-an-introduction-to-concepts-and-methods-1910.09457"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-learn-by-zeroth-order-oracle-1910.09464</loc><lastmod>2020-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-learn-by-zeroth-order-oracle-1910.09464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-learn-by-zeroth-order-oracle-1910.09464"/></url>
<url><loc>https://scifaro.com/en/abs/sparsification-as-a-remedy-for-staleness-in-distributed-asynchronous-sgd-1910.09466</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsification-as-a-remedy-for-staleness-in-distributed-asynchronous-sgd-1910.09466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsification-as-a-remedy-for-staleness-in-distributed-asynchronous-sgd-1910.09466"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-underspecification-with-local-ensembles-1910.09573</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-underspecification-with-local-ensembles-1910.09573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-underspecification-with-local-ensembles-1910.09573"/></url>
<url><loc>https://scifaro.com/en/abs/on-predictive-information-in-rnns-1910.09578</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-predictive-information-in-rnns-1910.09578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-predictive-information-in-rnns-1910.09578"/></url>
<url><loc>https://scifaro.com/en/abs/collapsed-amortized-variational-inference-for-switching-nonlinear-dynamical-systems-1910.09588</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collapsed-amortized-variational-inference-for-switching-nonlinear-dynamical-systems-1910.09588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collapsed-amortized-variational-inference-for-switching-nonlinear-dynamical-systems-1910.09588"/></url>
<url><loc>https://scifaro.com/en/abs/graphsac-detecting-anomalies-in-large-scale-graphs-1910.09589</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphsac-detecting-anomalies-in-large-scale-graphs-1910.09589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphsac-detecting-anomalies-in-large-scale-graphs-1910.09589"/></url>
<url><loc>https://scifaro.com/en/abs/edge-dithering-for-robust-adaptive-graph-convolutional-networks-1910.09590</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edge-dithering-for-robust-adaptive-graph-convolutional-networks-1910.09590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edge-dithering-for-robust-adaptive-graph-convolutional-networks-1910.09590"/></url>
<url><loc>https://scifaro.com/en/abs/federated-neuromorphic-learning-of-spiking-neural-networks-for-low-power-edge-intelligence-1910.09594</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-neuromorphic-learning-of-spiking-neural-networks-for-low-power-edge-intelligence-1910.09594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-neuromorphic-learning-of-spiking-neural-networks-for-low-power-edge-intelligence-1910.09594"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-space-time-expressivity-of-resnets-1910.09599</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-space-time-expressivity-of-resnets-1910.09599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-space-time-expressivity-of-resnets-1910.09599"/></url>
<url><loc>https://scifaro.com/en/abs/ipo-interior-point-policy-optimization-under-constraints-1910.09615</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ipo-interior-point-policy-optimization-under-constraints-1910.09615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ipo-interior-point-policy-optimization-under-constraints-1910.09615"/></url>
<url><loc>https://scifaro.com/en/abs/you-may-not-need-order-in-time-series-forecasting-1910.09620</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/you-may-not-need-order-in-time-series-forecasting-1910.09620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/you-may-not-need-order-in-time-series-forecasting-1910.09620"/></url>
<url><loc>https://scifaro.com/en/abs/non-gaussianity-of-stochastic-gradient-noise-1910.09626</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-gaussianity-of-stochastic-gradient-noise-1910.09626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-gaussianity-of-stochastic-gradient-noise-1910.09626"/></url>
<url><loc>https://scifaro.com/en/abs/ganspection-1910.09638</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ganspection-1910.09638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ganspection-1910.09638"/></url>
<url><loc>https://scifaro.com/en/abs/causal-bootstrapping-1910.09648</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-bootstrapping-1910.09648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-bootstrapping-1910.09648"/></url>
<url><loc>https://scifaro.com/en/abs/stability-of-graph-neural-networks-to-relative-perturbations-1910.09655</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-of-graph-neural-networks-to-relative-perturbations-1910.09655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-of-graph-neural-networks-to-relative-perturbations-1910.09655"/></url>
<url><loc>https://scifaro.com/en/abs/multiphase-flow-prediction-with-deep-neural-networks-1910.09657</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiphase-flow-prediction-with-deep-neural-networks-1910.09657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiphase-flow-prediction-with-deep-neural-networks-1910.09657"/></url>
<url><loc>https://scifaro.com/en/abs/signal-combination-for-language-identification-1910.09687</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signal-combination-for-language-identification-1910.09687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signal-combination-for-language-identification-1910.09687"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-make-generalizable-and-diverse-predictions-for-retrosynthesis-1910.09688</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-make-generalizable-and-diverse-predictions-for-retrosynthesis-1910.09688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-make-generalizable-and-diverse-predictions-for-retrosynthesis-1910.09688"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-graph-walk-for-semi-supervised-multi-label-node-classification-1910.09706</loc><lastmod>2024-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-graph-walk-for-semi-supervised-multi-label-node-classification-1910.09706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-graph-walk-for-semi-supervised-multi-label-node-classification-1910.09706"/></url>
<url><loc>https://scifaro.com/en/abs/smoothness-adaptive-contextual-bandits-1910.09714</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothness-adaptive-contextual-bandits-1910.09714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothness-adaptive-contextual-bandits-1910.09714"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-active-learning-system-for-species-identification-and-counting-in-camera-trap-images-1910.09716</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-active-learning-system-for-species-identification-and-counting-in-camera-trap-images-1910.09716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-active-learning-system-for-species-identification-and-counting-in-camera-trap-images-1910.09716"/></url>
<url><loc>https://scifaro.com/en/abs/spatiotemporal-emotion-recognition-using-deep-cnn-based-on-eeg-during-music-listening-1910.09719</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatiotemporal-emotion-recognition-using-deep-cnn-based-on-eeg-during-music-listening-1910.09719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatiotemporal-emotion-recognition-using-deep-cnn-based-on-eeg-during-music-listening-1910.09719"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-prototype-learning-for-zero-shot-recognition-1910.09728</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-prototype-learning-for-zero-shot-recognition-1910.09728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-prototype-learning-for-zero-shot-recognition-1910.09728"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-sample-clustering-1910.09731</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-sample-clustering-1910.09731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-sample-clustering-1910.09731"/></url>
<url><loc>https://scifaro.com/en/abs/explicitly-bayesian-regularizations-in-deep-learning-1910.09732</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explicitly-bayesian-regularizations-in-deep-learning-1910.09732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explicitly-bayesian-regularizations-in-deep-learning-1910.09732"/></url>
<url><loc>https://scifaro.com/en/abs/single-and-union-non-parallel-support-vector-machine-frameworks-1910.09734</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-and-union-non-parallel-support-vector-machine-frameworks-1910.09734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-and-union-non-parallel-support-vector-machine-frameworks-1910.09734"/></url>
<url><loc>https://scifaro.com/en/abs/composite-neural-network-theory-and-application-to-pm2-5-prediction-1910.09739</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composite-neural-network-theory-and-application-to-pm2-5-prediction-1910.09739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composite-neural-network-theory-and-application-to-pm2-5-prediction-1910.09739"/></url>
<url><loc>https://scifaro.com/en/abs/vanishing-nodes-another-phenomenon-that-makes-training-deep-neural-networks-difficult-1910.09745</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vanishing-nodes-another-phenomenon-that-makes-training-deep-neural-networks-difficult-1910.09745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vanishing-nodes-another-phenomenon-that-makes-training-deep-neural-networks-difficult-1910.09745"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-boosting-based-autoencoder-ensembles-for-outlier-detection-1910.09754</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-boosting-based-autoencoder-ensembles-for-outlier-detection-1910.09754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-boosting-based-autoencoder-ensembles-for-outlier-detection-1910.09754"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-feedforward-neural-networks-universal-approximation-1910.09763</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-feedforward-neural-networks-universal-approximation-1910.09763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-feedforward-neural-networks-universal-approximation-1910.09763"/></url>
<url><loc>https://scifaro.com/en/abs/face-representation-by-deep-learning-a-linear-encoding-in-a-parameter-space-1910.09768</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/face-representation-by-deep-learning-a-linear-encoding-in-a-parameter-space-1910.09768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/face-representation-by-deep-learning-a-linear-encoding-in-a-parameter-space-1910.09768"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-disentanglement-with-guarantees-1910.09772</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-disentanglement-with-guarantees-1910.09772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-disentanglement-with-guarantees-1910.09772"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-pre-training-with-acoustic-configurations-for-replay-spoofing-detection-1910.09778</loc><lastmod>2020-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-pre-training-with-acoustic-configurations-for-replay-spoofing-detection-1910.09778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-pre-training-with-acoustic-configurations-for-replay-spoofing-detection-1910.09778"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-the-gap-between-f-gans-and-wasserstein-gans-1910.09779</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-the-gap-between-f-gans-and-wasserstein-gans-1910.09779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-the-gap-between-f-gans-and-wasserstein-gans-1910.09779"/></url>
<url><loc>https://scifaro.com/en/abs/robust-training-with-ensemble-consensus-1910.09792</loc><lastmod>2020-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-training-with-ensemble-consensus-1910.09792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-training-with-ensemble-consensus-1910.09792"/></url>
<url><loc>https://scifaro.com/en/abs/improving-siamese-networks-for-one-shot-learning-using-kernel-based-activation-functions-1910.09798</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-siamese-networks-for-one-shot-learning-using-kernel-based-activation-functions-1910.09798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-siamese-networks-for-one-shot-learning-using-kernel-based-activation-functions-1910.09798"/></url>
<url><loc>https://scifaro.com/en/abs/two-step-sound-source-separation-training-on-learned-latent-targets-1910.09804</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-step-sound-source-separation-training-on-learned-latent-targets-1910.09804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-step-sound-source-separation-training-on-learned-latent-targets-1910.09804"/></url>
<url><loc>https://scifaro.com/en/abs/a-scalable-predictive-maintenance-model-for-detecting-wind-turbine-component-failures-based-on-scada-data-1910.09808</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scalable-predictive-maintenance-model-for-detecting-wind-turbine-component-failures-based-on-scada-data-1910.09808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scalable-predictive-maintenance-model-for-detecting-wind-turbine-component-failures-based-on-scada-data-1910.09808"/></url>
<url><loc>https://scifaro.com/en/abs/towards-best-practice-in-explaining-neural-network-decisions-with-lrp-1910.09840</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-best-practice-in-explaining-neural-network-decisions-with-lrp-1910.09840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-best-practice-in-explaining-neural-network-decisions-with-lrp-1910.09840"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-variance-decomposition-based-feature-selection-1910.09851</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-variance-decomposition-based-feature-selection-1910.09851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-variance-decomposition-based-feature-selection-1910.09851"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-and-effective-second-order-training-algorithm-for-lstm-based-adaptive-learning-1910.09857</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-and-effective-second-order-training-algorithm-for-lstm-based-adaptive-learning-1910.09857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-and-effective-second-order-training-algorithm-for-lstm-based-adaptive-learning-1910.09857"/></url>
<url><loc>https://scifaro.com/en/abs/a-prototypical-triplet-loss-for-cover-detection-1910.09862</loc><lastmod>2020-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-prototypical-triplet-loss-for-cover-detection-1910.09862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-prototypical-triplet-loss-for-cover-detection-1910.09862"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-training-with-approximate-logarithmic-computations-1910.09876</loc><lastmod>2026-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-training-with-approximate-logarithmic-computations-1910.09876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-training-with-approximate-logarithmic-computations-1910.09876"/></url>
<url><loc>https://scifaro.com/en/abs/abnormal-client-behavior-detection-in-federated-learning-1910.09933</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abnormal-client-behavior-detection-in-federated-learning-1910.09933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abnormal-client-behavior-detection-in-federated-learning-1910.09933"/></url>
<url><loc>https://scifaro.com/en/abs/towards-automated-website-classification-by-deep-learning-1910.09991</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-automated-website-classification-by-deep-learning-1910.09991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-automated-website-classification-by-deep-learning-1910.09991"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-example-detection-by-classification-for-deep-speech-recognition-1910.10013</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-example-detection-by-classification-for-deep-speech-recognition-1910.10013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-example-detection-by-classification-for-deep-speech-recognition-1910.10013"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-regression-of-vlsi-plasma-etch-metrology-1910.10067</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-regression-of-vlsi-plasma-etch-metrology-1910.10067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-regression-of-vlsi-plasma-etch-metrology-1910.10067"/></url>
<url><loc>https://scifaro.com/en/abs/improving-singing-voice-separation-with-the-wave-u-net-using-minimum-hyperspherical-energy-1910.10071</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-singing-voice-separation-with-the-wave-u-net-using-minimum-hyperspherical-energy-1910.10071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-singing-voice-separation-with-the-wave-u-net-using-minimum-hyperspherical-energy-1910.10071"/></url>
<url><loc>https://scifaro.com/en/abs/mask-combination-of-multi-layer-graphs-for-global-structure-inference-1910.10114</loc><lastmod>2020-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mask-combination-of-multi-layer-graphs-for-global-structure-inference-1910.10114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mask-combination-of-multi-layer-graphs-for-global-structure-inference-1910.10114"/></url>
<url><loc>https://scifaro.com/en/abs/class-mean-vectors-self-monitoring-and-self-learning-for-neural-classifiers-1910.10122</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-mean-vectors-self-monitoring-and-self-learning-for-neural-classifiers-1910.10122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-mean-vectors-self-monitoring-and-self-learning-for-neural-classifiers-1910.10122"/></url>
<url><loc>https://scifaro.com/en/abs/establishing-an-evaluation-metric-to-quantify-climate-change-image-realism-1910.10143</loc><lastmod>2019-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/establishing-an-evaluation-metric-to-quantify-climate-change-image-realism-1910.10143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/establishing-an-evaluation-metric-to-quantify-climate-change-image-realism-1910.10143"/></url>
<url><loc>https://scifaro.com/en/abs/no-regret-non-convex-online-meta-learning-1910.10196</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-regret-non-convex-online-meta-learning-1910.10196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-regret-non-convex-online-meta-learning-1910.10196"/></url>
<url><loc>https://scifaro.com/en/abs/complex-transformer-a-framework-for-modeling-complex-valued-sequence-1910.10202</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complex-transformer-a-framework-for-modeling-complex-valued-sequence-1910.10202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complex-transformer-a-framework-for-modeling-complex-valued-sequence-1910.10202"/></url>
<url><loc>https://scifaro.com/en/abs/better-approximate-inference-for-partial-likelihood-models-with-a-latent-structure-1910.10211</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-approximate-inference-for-partial-likelihood-models-with-a-latent-structure-1910.10211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-approximate-inference-for-partial-likelihood-models-with-a-latent-structure-1910.10211"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-at-the-edge-1910.10231</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-at-the-edge-1910.10231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-at-the-edge-1910.10231"/></url>
<url><loc>https://scifaro.com/en/abs/bottom-up-meta-policy-search-1910.10232</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bottom-up-meta-policy-search-1910.10232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bottom-up-meta-policy-search-1910.10232"/></url>
<url><loc>https://scifaro.com/en/abs/federated-evaluation-of-on-device-personalization-1910.10252</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-evaluation-of-on-device-personalization-1910.10252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-evaluation-of-on-device-personalization-1910.10252"/></url>
<url><loc>https://scifaro.com/en/abs/learning-partial-differential-equations-from-data-using-neural-networks-1910.10262</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-partial-differential-equations-from-data-using-neural-networks-1910.10262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-partial-differential-equations-from-data-using-neural-networks-1910.10262"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-attention-walk-for-semi-supervised-classification-1910.10266</loc><lastmod>2024-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-attention-walk-for-semi-supervised-classification-1910.10266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-attention-walk-for-semi-supervised-classification-1910.10266"/></url>
<url><loc>https://scifaro.com/en/abs/the-restless-hidden-markov-bandit-with-linear-rewards-and-side-information-1910.10271</loc><lastmod>2021-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-restless-hidden-markov-bandit-with-linear-rewards-and-side-information-1910.10271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-restless-hidden-markov-bandit-with-linear-rewards-and-side-information-1910.10271"/></url>
<url><loc>https://scifaro.com/en/abs/state2vec-off-policy-successor-features-approximators-1910.10277</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state2vec-off-policy-successor-features-approximators-1910.10277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state2vec-off-policy-successor-features-approximators-1910.10277"/></url>
<url><loc>https://scifaro.com/en/abs/a-unifying-framework-of-bilinear-lstms-1910.10294</loc><lastmod>2023-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unifying-framework-of-bilinear-lstms-1910.10294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unifying-framework-of-bilinear-lstms-1910.10294"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-out-of-distribution-inputs-in-deep-neural-networks-using-an-early-layer-output-1910.10307</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-out-of-distribution-inputs-in-deep-neural-networks-using-an-early-layer-output-1910.10307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-out-of-distribution-inputs-in-deep-neural-networks-using-an-early-layer-output-1910.10307"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-distributed-differential-privacy-erm-convex-and-non-convex-1910.10308</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-distributed-differential-privacy-erm-convex-and-non-convex-1910.10308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-distributed-differential-privacy-erm-convex-and-non-convex-1910.10308"/></url>
<url><loc>https://scifaro.com/en/abs/class-imbalanced-domain-adaptation-an-empirical-odyssey-1910.10320</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-imbalanced-domain-adaptation-an-empirical-odyssey-1910.10320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-imbalanced-domain-adaptation-an-empirical-odyssey-1910.10320"/></url>
<url><loc>https://scifaro.com/en/abs/ustar-online-multimodal-embedding-for-modeling-user-guided-spatiotemporal-activity-1910.10335</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ustar-online-multimodal-embedding-for-modeling-user-guided-spatiotemporal-activity-1910.10335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ustar-online-multimodal-embedding-for-modeling-user-guided-spatiotemporal-activity-1910.10335"/></url>
<url><loc>https://scifaro.com/en/abs/edgeai-a-vision-for-deep-learning-in-iot-era-1910.10356</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edgeai-a-vision-for-deep-learning-in-iot-era-1910.10356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edgeai-a-vision-for-deep-learning-in-iot-era-1910.10356"/></url>
<url><loc>https://scifaro.com/en/abs/strategic-classification-is-causal-modeling-in-disguise-1910.10362</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strategic-classification-is-causal-modeling-in-disguise-1910.10362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strategic-classification-is-causal-modeling-in-disguise-1910.10362"/></url>
<url><loc>https://scifaro.com/en/abs/mlat-metric-learning-for-knn-in-streaming-time-series-1910.10368</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mlat-metric-learning-for-knn-in-streaming-time-series-1910.10368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mlat-metric-learning-for-knn-in-streaming-time-series-1910.10368"/></url>
<url><loc>https://scifaro.com/en/abs/stabilising-priors-for-robust-bayesian-deep-learning-1910.10386</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilising-priors-for-robust-bayesian-deep-learning-1910.10386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilising-priors-for-robust-bayesian-deep-learning-1910.10386"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-decoupled-neural-architecture-search-by-structure-and-operation-sampling-1910.10397</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-decoupled-neural-architecture-search-by-structure-and-operation-sampling-1910.10397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-decoupled-neural-architecture-search-by-structure-and-operation-sampling-1910.10397"/></url>
<url><loc>https://scifaro.com/en/abs/q-gadmm-quantized-group-admm-for-communication-efficient-decentralized-machine-learning-1910.10453</loc><lastmod>2025-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/q-gadmm-quantized-group-admm-for-communication-efficient-decentralized-machine-learning-1910.10453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/q-gadmm-quantized-group-admm-for-communication-efficient-decentralized-machine-learning-1910.10453"/></url>
<url><loc>https://scifaro.com/en/abs/injecting-hierarchy-with-u-net-transformers-1910.10488</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/injecting-hierarchy-with-u-net-transformers-1910.10488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/injecting-hierarchy-with-u-net-transformers-1910.10488"/></url>
<url><loc>https://scifaro.com/en/abs/self-attention-for-raw-optical-satellite-time-series-classification-1910.10536</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-attention-for-raw-optical-satellite-time-series-classification-1910.10536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-attention-for-raw-optical-satellite-time-series-classification-1910.10536"/></url>
<url><loc>https://scifaro.com/en/abs/robust-visual-domain-randomization-for-reinforcement-learning-1910.10537</loc><lastmod>2020-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-visual-domain-randomization-for-reinforcement-learning-1910.10537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-visual-domain-randomization-for-reinforcement-learning-1910.10537"/></url>
<url><loc>https://scifaro.com/en/abs/optimistic-distributionally-robust-optimization-for-nonparametric-likelihood-approximation-1910.10583</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimistic-distributionally-robust-optimization-for-nonparametric-likelihood-approximation-1910.10583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimistic-distributionally-robust-optimization-for-nonparametric-likelihood-approximation-1910.10583"/></url>
<url><loc>https://scifaro.com/en/abs/sample-complexity-of-reinforcement-learning-using-linearly-combined-model-ensembles-1910.10597</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-complexity-of-reinforcement-learning-using-linearly-combined-model-ensembles-1910.10597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-complexity-of-reinforcement-learning-using-linearly-combined-model-ensembles-1910.10597"/></url>
<url><loc>https://scifaro.com/en/abs/a-useful-taxonomy-for-adversarial-robustness-of-neural-networks-1910.10679</loc><lastmod>2019-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-useful-taxonomy-for-adversarial-robustness-of-neural-networks-1910.10679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-useful-taxonomy-for-adversarial-robustness-of-neural-networks-1910.10679"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-and-extraction-for-graph-neural-networks-1910.10682</loc><lastmod>2024-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-and-extraction-for-graph-neural-networks-1910.10682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-and-extraction-for-graph-neural-networks-1910.10682"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-limits-of-transfer-learning-with-a-unified-text-to-text-transformer-1910.10683</loc><lastmod>2023-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-limits-of-transfer-learning-with-a-unified-text-to-text-transformer-1910.10683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-limits-of-transfer-learning-with-a-unified-text-to-text-transformer-1910.10683"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-representation-distillation-1910.10699</loc><lastmod>2022-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-representation-distillation-1910.10699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-representation-distillation-1910.10699"/></url>
<url><loc>https://scifaro.com/en/abs/learning-q-network-for-active-information-acquisition-1910.10754</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-q-network-for-active-information-acquisition-1910.10754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-q-network-for-active-information-acquisition-1910.10754"/></url>
<url><loc>https://scifaro.com/en/abs/diversifying-database-activity-monitoring-with-bandits-1910.10777</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversifying-database-activity-monitoring-with-bandits-1910.10777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversifying-database-activity-monitoring-with-bandits-1910.10777"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-smoothing-certified-robustness-against-wasserstein-adversarial-attacks-1910.10783</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-smoothing-certified-robustness-against-wasserstein-adversarial-attacks-1910.10783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-smoothing-certified-robustness-against-wasserstein-adversarial-attacks-1910.10783"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-percentile-criterion-using-robust-mdps-1910.10786</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-percentile-criterion-using-robust-mdps-1910.10786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-percentile-criterion-using-robust-mdps-1910.10786"/></url>
<url><loc>https://scifaro.com/en/abs/low-shot-learning-with-untrained-neural-networks-for-imaging-inverse-problems-1910.10797</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-shot-learning-with-untrained-neural-networks-for-imaging-inverse-problems-1910.10797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-shot-learning-with-untrained-neural-networks-for-imaging-inverse-problems-1910.10797"/></url>
<url><loc>https://scifaro.com/en/abs/gensample-a-genetic-algorithm-for-oversampling-in-imbalanced-datasets-1910.10806</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gensample-a-genetic-algorithm-for-oversampling-in-imbalanced-datasets-1910.10806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gensample-a-genetic-algorithm-for-oversampling-in-imbalanced-datasets-1910.10806"/></url>
<url><loc>https://scifaro.com/en/abs/variational-predictive-information-bottleneck-1910.10831</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-predictive-information-bottleneck-1910.10831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-predictive-information-bottleneck-1910.10831"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-model-predictive-control-with-neural-networks-and-primal-active-sets-1910.10835</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-model-predictive-control-with-neural-networks-and-primal-active-sets-1910.10835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-model-predictive-control-with-neural-networks-and-primal-active-sets-1910.10835"/></url>
<url><loc>https://scifaro.com/en/abs/attention-based-curiosity-driven-exploration-in-deep-reinforcement-learning-1910.10840</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-based-curiosity-driven-exploration-in-deep-reinforcement-learning-1910.10840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-based-curiosity-driven-exploration-in-deep-reinforcement-learning-1910.10840"/></url>
<url><loc>https://scifaro.com/en/abs/dfnets-spectral-cnns-for-graphs-with-feedback-looped-filters-1910.10866</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dfnets-spectral-cnns-for-graphs-with-feedback-looped-filters-1910.10866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dfnets-spectral-cnns-for-graphs-with-feedback-looped-filters-1910.10866"/></url>
<url><loc>https://scifaro.com/en/abs/preventing-adversarial-use-of-datasets-through-fair-core-set-construction-1910.10871</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preventing-adversarial-use-of-datasets-through-fair-core-set-construction-1910.10871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preventing-adversarial-use-of-datasets-through-fair-core-set-construction-1910.10871"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-regret-of-switching-constrained-online-convex-optimization-no-phase-transition-1910.10873</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-regret-of-switching-constrained-online-convex-optimization-no-phase-transition-1910.10873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-regret-of-switching-constrained-online-convex-optimization-no-phase-transition-1910.10873"/></url>
<url><loc>https://scifaro.com/en/abs/superposition-as-data-augmentation-using-lstm-and-hmm-in-small-training-sets-1910.10881</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/superposition-as-data-augmentation-using-lstm-and-hmm-in-small-training-sets-1910.10881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/superposition-as-data-augmentation-using-lstm-and-hmm-in-small-training-sets-1910.10881"/></url>
<url><loc>https://scifaro.com/en/abs/meta-world-a-benchmark-and-evaluation-for-multi-task-and-meta-reinforcement-learning-1910.10897</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-world-a-benchmark-and-evaluation-for-multi-task-and-meta-reinforcement-learning-1910.10897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-world-a-benchmark-and-evaluation-for-multi-task-and-meta-reinforcement-learning-1910.10897"/></url>
<url><loc>https://scifaro.com/en/abs/a-recurrent-variational-autoencoder-for-speech-enhancement-1910.10942</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-recurrent-variational-autoencoder-for-speech-enhancement-1910.10942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-recurrent-variational-autoencoder-for-speech-enhancement-1910.10942"/></url>
<url><loc>https://scifaro.com/en/abs/preference-based-batch-and-sequential-teaching-towards-a-unified-view-of-models-1910.10944</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preference-based-batch-and-sequential-teaching-towards-a-unified-view-of-models-1910.10944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preference-based-batch-and-sequential-teaching-towards-a-unified-view-of-models-1910.10944"/></url>
<url><loc>https://scifaro.com/en/abs/fixed-confidence-guarantees-for-bayesian-best-arm-identification-1910.10945</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixed-confidence-guarantees-for-bayesian-best-arm-identification-1910.10945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixed-confidence-guarantees-for-bayesian-best-arm-identification-1910.10945"/></url>
<url><loc>https://scifaro.com/en/abs/deep-topic-modeling-by-multilayer-bootstrap-network-and-lasso-1910.10953</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-topic-modeling-by-multilayer-bootstrap-network-and-lasso-1910.10953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-topic-modeling-by-multilayer-bootstrap-network-and-lasso-1910.10953"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-feature-alignment-avoid-catastrophic-forgetting-in-incremental-task-lifelong-learning-1910.10986</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-feature-alignment-avoid-catastrophic-forgetting-in-incremental-task-lifelong-learning-1910.10986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-feature-alignment-avoid-catastrophic-forgetting-in-incremental-task-lifelong-learning-1910.10986"/></url>
<url><loc>https://scifaro.com/en/abs/convex-optimisation-for-inverse-kinematics-1910.11016</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-optimisation-for-inverse-kinematics-1910.11016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-optimisation-for-inverse-kinematics-1910.11016"/></url>
<url><loc>https://scifaro.com/en/abs/on-sample-complexity-of-neural-networks-1910.11080</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-sample-complexity-of-neural-networks-1910.11080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-sample-complexity-of-neural-networks-1910.11080"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-study-of-neural-network-compression-1910.11144</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-study-of-neural-network-compression-1910.11144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-study-of-neural-network-compression-1910.11144"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-channel-based-federated-learning-for-medical-data-privacy-preserving-1910.11160</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-channel-based-federated-learning-for-medical-data-privacy-preserving-1910.11160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-channel-based-federated-learning-for-medical-data-privacy-preserving-1910.11160"/></url>
<url><loc>https://scifaro.com/en/abs/u-time-a-fully-convolutional-network-for-time-series-segmentation-applied-to-sleep-staging-1910.11162</loc><lastmod>2019-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/u-time-a-fully-convolutional-network-for-time-series-segmentation-applied-to-sleep-staging-1910.11162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/u-time-a-fully-convolutional-network-for-time-series-segmentation-applied-to-sleep-staging-1910.11162"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-approach-to-recurrence-in-neural-networks-1910.11247</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-approach-to-recurrence-in-neural-networks-1910.11247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-approach-to-recurrence-in-neural-networks-1910.11247"/></url>
<url><loc>https://scifaro.com/en/abs/quick-survey-of-graph-based-fraud-detection-methods-1910.11299</loc><lastmod>2022-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quick-survey-of-graph-based-fraud-detection-methods-1910.11299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quick-survey-of-graph-based-fraud-detection-methods-1910.11299"/></url>
<url><loc>https://scifaro.com/en/abs/community-level-anomaly-detection-for-anti-money-laundering-1910.11313</loc><lastmod>2022-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/community-level-anomaly-detection-for-anti-money-laundering-1910.11313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/community-level-anomaly-detection-for-anti-money-laundering-1910.11313"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-layerwise-interpretable-competence-estimation-1910.11363</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-layerwise-interpretable-competence-estimation-1910.11363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-layerwise-interpretable-competence-estimation-1910.11363"/></url>
<url><loc>https://scifaro.com/en/abs/extending-event-detection-to-new-types-with-learning-from-keywords-1910.11368</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extending-event-detection-to-new-types-with-learning-from-keywords-1910.11368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extending-event-detection-to-new-types-with-learning-from-keywords-1910.11368"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-molecular-graphs-with-tiered-graph-autoencoders-and-graph-prediction-1910.11390</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-molecular-graphs-with-tiered-graph-autoencoders-and-graph-prediction-1910.11390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-molecular-graphs-with-tiered-graph-autoencoders-and-graph-prediction-1910.11390"/></url>
<url><loc>https://scifaro.com/en/abs/hrl4in-hierarchical-reinforcement-learning-for-interactive-navigation-with-mobile-manipulators-1910.11432</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hrl4in-hierarchical-reinforcement-learning-for-interactive-navigation-with-mobile-manipulators-1910.11432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hrl4in-hierarchical-reinforcement-learning-for-interactive-navigation-with-mobile-manipulators-1910.11432"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-representation-learning-in-graph-neural-networks-with-node-decimation-pooling-1910.11436</loc><lastmod>2024-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-representation-learning-in-graph-neural-networks-with-node-decimation-pooling-1910.11436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-representation-learning-in-graph-neural-networks-with-node-decimation-pooling-1910.11436"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-sample-complexity-and-the-case-for-human-intervention-1910.11452</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-sample-complexity-and-the-case-for-human-intervention-1910.11452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-sample-complexity-and-the-case-for-human-intervention-1910.11452"/></url>
<url><loc>https://scifaro.com/en/abs/human-action-recognition-using-deep-multilevel-multimodal-m2-fusion-of-depth-and-inertial-sensors-1910.11482</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-action-recognition-using-deep-multilevel-multimodal-m2-fusion-of-depth-and-inertial-sensors-1910.11482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-action-recognition-using-deep-multilevel-multimodal-m2-fusion-of-depth-and-inertial-sensors-1910.11482"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-for-climate-change-events-from-satellite-image-time-series-using-computer-vision-and-deep-learning-1910.11492</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-for-climate-change-events-from-satellite-image-time-series-using-computer-vision-and-deep-learning-1910.11492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-for-climate-change-events-from-satellite-image-time-series-using-computer-vision-and-deep-learning-1910.11492"/></url>
<url><loc>https://scifaro.com/en/abs/study-of-deep-generative-models-for-inorganic-chemical-compositions-1910.11499</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/study-of-deep-generative-models-for-inorganic-chemical-compositions-1910.11499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/study-of-deep-generative-models-for-inorganic-chemical-compositions-1910.11499"/></url>
<url><loc>https://scifaro.com/en/abs/over-parameterized-two-level-neural-networks-can-learn-near-optimal-feature-representations-1910.11508</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/over-parameterized-two-level-neural-networks-can-learn-near-optimal-feature-representations-1910.11508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/over-parameterized-two-level-neural-networks-can-learn-near-optimal-feature-representations-1910.11508"/></url>
<url><loc>https://scifaro.com/en/abs/deep-1d-convnet-for-accurate-parkinson-disease-detection-and-severity-prediction-from-gait-1910.11509</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-1d-convnet-for-accurate-parkinson-disease-detection-and-severity-prediction-from-gait-1910.11509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-1d-convnet-for-accurate-parkinson-disease-detection-and-severity-prediction-from-gait-1910.11509"/></url>
<url><loc>https://scifaro.com/en/abs/limits-of-private-learning-with-access-to-public-data-1910.11519</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limits-of-private-learning-with-access-to-public-data-1910.11519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limits-of-private-learning-with-access-to-public-data-1910.11519"/></url>
<url><loc>https://scifaro.com/en/abs/descriptive-dimensionality-and-its-characterization-of-mdl-based-learning-and-change-detection-1910.11540</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/descriptive-dimensionality-and-its-characterization-of-mdl-based-learning-and-change-detection-1910.11540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/descriptive-dimensionality-and-its-characterization-of-mdl-based-learning-and-change-detection-1910.11540"/></url>
<url><loc>https://scifaro.com/en/abs/strong-log-concavity-does-not-imply-log-submodularity-1910.11544</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strong-log-concavity-does-not-imply-log-submodularity-1910.11544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strong-log-concavity-does-not-imply-log-submodularity-1910.11544"/></url>
<url><loc>https://scifaro.com/en/abs/a-gegenbauer-neural-network-with-regularized-weights-direct-determination-for-classification-1910.11552</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gegenbauer-neural-network-with-regularized-weights-direct-determination-for-classification-1910.11552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gegenbauer-neural-network-with-regularized-weights-direct-determination-for-classification-1910.11552"/></url>
<url><loc>https://scifaro.com/en/abs/fast-structured-decoding-for-sequence-models-1910.11555</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-structured-decoding-for-sequence-models-1910.11555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-structured-decoding-for-sequence-models-1910.11555"/></url>
<url><loc>https://scifaro.com/en/abs/using-pairwise-occurrence-information-to-improve-knowledge-graph-completion-on-large-scale-datasets-1910.11583</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-pairwise-occurrence-information-to-improve-knowledge-graph-completion-on-large-scale-datasets-1910.11583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-pairwise-occurrence-information-to-improve-knowledge-graph-completion-on-large-scale-datasets-1910.11583"/></url>
<url><loc>https://scifaro.com/en/abs/label-smoothing-and-logit-squeezing-a-replacement-for-adversarial-training-1910.11585</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-smoothing-and-logit-squeezing-a-replacement-for-adversarial-training-1910.11585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-smoothing-and-logit-squeezing-a-replacement-for-adversarial-training-1910.11585"/></url>
<url><loc>https://scifaro.com/en/abs/mediaeval-2019-concealed-fgsm-perturbations-for-privacy-preservation-1910.11603</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mediaeval-2019-concealed-fgsm-perturbations-for-privacy-preservation-1910.11603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mediaeval-2019-concealed-fgsm-perturbations-for-privacy-preservation-1910.11603"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-dynamic-learning-rate-tuning-algorithm-for-automated-training-of-dnns-1910.11605</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-dynamic-learning-rate-tuning-algorithm-for-automated-training-of-dnns-1910.11605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-dynamic-learning-rate-tuning-algorithm-for-automated-training-of-dnns-1910.11605"/></url>
<url><loc>https://scifaro.com/en/abs/an-end-to-end-hw-sw-co-design-methodology-to-design-efficient-deep-neural-network-systems-using-virtual-models-1910.11632</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-end-to-end-hw-sw-co-design-methodology-to-design-efficient-deep-neural-network-systems-using-virtual-models-1910.11632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-end-to-end-hw-sw-co-design-methodology-to-design-efficient-deep-neural-network-systems-using-virtual-models-1910.11632"/></url>
<url><loc>https://scifaro.com/en/abs/rationally-inattentive-inverse-reinforcement-learning-explains-youtube-commenting-behavior-1910.11703</loc><lastmod>2020-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rationally-inattentive-inverse-reinforcement-learning-explains-youtube-commenting-behavior-1910.11703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rationally-inattentive-inverse-reinforcement-learning-explains-youtube-commenting-behavior-1910.11703"/></url>
<url><loc>https://scifaro.com/en/abs/multi-scale-deep-neural-networks-for-solving-high-dimensional-pdes-1910.11710</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-scale-deep-neural-networks-for-solving-high-dimensional-pdes-1910.11710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-scale-deep-neural-networks-for-solving-high-dimensional-pdes-1910.11710"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mixtures-of-plackett-luce-models-from-structured-partial-orders-1910.11721</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mixtures-of-plackett-luce-models-from-structured-partial-orders-1910.11721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mixtures-of-plackett-luce-models-from-structured-partial-orders-1910.11721"/></url>
<url><loc>https://scifaro.com/en/abs/optimizer-benchmarking-needs-to-account-for-hyperparameter-tuning-1910.11758</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizer-benchmarking-needs-to-account-for-hyperparameter-tuning-1910.11758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizer-benchmarking-needs-to-account-for-hyperparameter-tuning-1910.11758"/></url>
<url><loc>https://scifaro.com/en/abs/toward-a-better-trade-off-between-performance-and-fairness-with-kernel-based-distribution-matching-1910.11779</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-a-better-trade-off-between-performance-and-fairness-with-kernel-based-distribution-matching-1910.11779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-a-better-trade-off-between-performance-and-fairness-with-kernel-based-distribution-matching-1910.11779"/></url>
<url><loc>https://scifaro.com/en/abs/stabilizing-darts-with-amended-gradient-estimation-on-architectural-parameters-1910.11831</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilizing-darts-with-amended-gradient-estimation-on-architectural-parameters-1910.11831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilizing-darts-with-amended-gradient-estimation-on-architectural-parameters-1910.11831"/></url>
<url><loc>https://scifaro.com/en/abs/platoon-trajectories-generation-a-unidirectional-interconnected-lstm-based-car-following-model-1910.11843</loc><lastmod>2019-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/platoon-trajectories-generation-a-unidirectional-interconnected-lstm-based-car-following-model-1910.11843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/platoon-trajectories-generation-a-unidirectional-interconnected-lstm-based-car-following-model-1910.11843"/></url>
<url><loc>https://scifaro.com/en/abs/bananas-bayesian-optimization-with-neural-architectures-for-neural-architecture-search-1910.11858</loc><lastmod>2022-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bananas-bayesian-optimization-with-neural-architectures-for-neural-architecture-search-1910.11858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bananas-bayesian-optimization-with-neural-architectures-for-neural-architecture-search-1910.11858"/></url>
<url><loc>https://scifaro.com/en/abs/deep-q-learning-for-same-day-delivery-with-vehicles-and-drones-1910.11901</loc><lastmod>2021-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-q-learning-for-same-day-delivery-with-vehicles-and-drones-1910.11901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-q-learning-for-same-day-delivery-with-vehicles-and-drones-1910.11901"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-projective-simulation-based-reinforcement-learning-in-markov-decision-processes-1910.11914</loc><lastmod>2020-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-projective-simulation-based-reinforcement-learning-in-markov-decision-processes-1910.11914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-projective-simulation-based-reinforcement-learning-in-markov-decision-processes-1910.11914"/></url>
<url><loc>https://scifaro.com/en/abs/learning-boolean-circuits-with-neural-networks-1910.11923</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-boolean-circuits-with-neural-networks-1910.11923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-boolean-circuits-with-neural-networks-1910.11923"/></url>
<url><loc>https://scifaro.com/en/abs/improving-graph-attention-networks-with-large-margin-based-constraints-1910.11945</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-graph-attention-networks-with-large-margin-based-constraints-1910.11945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-graph-attention-networks-with-large-margin-based-constraints-1910.11945"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-surrogate-networks-for-simulators-with-unbounded-randomness-1910.11950</loc><lastmod>2023-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-surrogate-networks-for-simulators-with-unbounded-randomness-1910.11950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-surrogate-networks-for-simulators-with-unbounded-randomness-1910.11950"/></url>
<url><loc>https://scifaro.com/en/abs/relay-policy-learning-solving-long-horizon-tasks-via-imitation-and-reinforcement-learning-1910.11956</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relay-policy-learning-solving-long-horizon-tasks-via-imitation-and-reinforcement-learning-1910.11956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relay-policy-learning-solving-long-horizon-tasks-via-imitation-and-reinforcement-learning-1910.11956"/></url>
<url><loc>https://scifaro.com/en/abs/multi-reference-neural-tts-stylization-with-adversarial-cycle-consistency-1910.11958</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-reference-neural-tts-stylization-with-adversarial-cycle-consistency-1910.11958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-reference-neural-tts-stylization-with-adversarial-cycle-consistency-1910.11958"/></url>
<url><loc>https://scifaro.com/en/abs/attention-for-inference-compilation-1910.11961</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-for-inference-compilation-1910.11961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-for-inference-compilation-1910.11961"/></url>
<url><loc>https://scifaro.com/en/abs/cross-channel-intragroup-sparsity-neural-network-1910.11971</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-channel-intragroup-sparsity-neural-network-1910.11971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-channel-intragroup-sparsity-neural-network-1910.11971"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-posterior-variational-inference-for-deep-gaussian-processes-1910.11998</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-posterior-variational-inference-for-deep-gaussian-processes-1910.11998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-posterior-variational-inference-for-deep-gaussian-processes-1910.11998"/></url>
<url><loc>https://scifaro.com/en/abs/prema-principled-tensor-data-recovery-from-multiple-aggregated-views-1910.12001</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prema-principled-tensor-data-recovery-from-multiple-aggregated-views-1910.12001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prema-principled-tensor-data-recovery-from-multiple-aggregated-views-1910.12001"/></url>
<url><loc>https://scifaro.com/en/abs/fair-generative-modeling-via-weak-supervision-1910.12008</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-generative-modeling-via-weak-supervision-1910.12008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-generative-modeling-via-weak-supervision-1910.12008"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-q-rank-new-data-dependent-definition-of-tensor-rank-1910.12016</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-q-rank-new-data-dependent-definition-of-tensor-rank-1910.12016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-q-rank-new-data-dependent-definition-of-tensor-rank-1910.12016"/></url>
<url><loc>https://scifaro.com/en/abs/super-learning-a-supervised-unsupervised-framework-for-low-dose-ct-image-reconstruction-1910.12024</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/super-learning-a-supervised-unsupervised-framework-for-low-dose-ct-image-reconstruction-1910.12024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/super-learning-a-supervised-unsupervised-framework-for-low-dose-ct-image-reconstruction-1910.12024"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-regularization-for-generative-adversarial-networks-1910.12027</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-regularization-for-generative-adversarial-networks-1910.12027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-regularization-for-generative-adversarial-networks-1910.12027"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-and-control-algorithms-of-direct-perception-for-autonomous-driving-1910.12031</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-and-control-algorithms-of-direct-perception-for-autonomous-driving-1910.12031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-and-control-algorithms-of-direct-perception-for-autonomous-driving-1910.12031"/></url>
<url><loc>https://scifaro.com/en/abs/variational-student-learning-compact-and-sparser-networks-in-knowledge-distillation-framework-1910.12061</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-student-learning-compact-and-sparser-networks-in-knowledge-distillation-framework-1910.12061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-student-learning-compact-and-sparser-networks-in-knowledge-distillation-framework-1910.12061"/></url>
<url><loc>https://scifaro.com/en/abs/detection-of-adversarial-attacks-and-characterization-of-adversarial-subspace-1910.12084</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-of-adversarial-attacks-and-characterization-of-adversarial-subspace-1910.12084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-of-adversarial-attacks-and-characterization-of-adversarial-subspace-1910.12084"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-isomorphism-bias-in-graph-data-sets-1910.12091</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-isomorphism-bias-in-graph-data-sets-1910.12091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-isomorphism-bias-in-graph-data-sets-1910.12091"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-graph-convolutional-neural-networks-using-non-parametric-graph-learning-1910.12132</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-graph-convolutional-neural-networks-using-non-parametric-graph-learning-1910.12132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-graph-convolutional-neural-networks-using-non-parametric-graph-learning-1910.12132"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-observation-and-action-representations-for-deep-reinforcement-learning-in-mu-rts-1910.12134</loc><lastmod>2020-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-observation-and-action-representations-for-deep-reinforcement-learning-in-mu-rts-1910.12134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-observation-and-action-representations-for-deep-reinforcement-learning-in-mu-rts-1910.12134"/></url>
<url><loc>https://scifaro.com/en/abs/zpd-teaching-strategies-for-deep-reinforcement-learning-from-demonstrations-1910.12154</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zpd-teaching-strategies-for-deep-reinforcement-learning-from-demonstrations-1910.12154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zpd-teaching-strategies-for-deep-reinforcement-learning-from-demonstrations-1910.12154"/></url>
<url><loc>https://scifaro.com/en/abs/convergent-policy-optimization-for-safe-reinforcement-learning-1910.12156</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergent-policy-optimization-for-safe-reinforcement-learning-1910.12156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergent-policy-optimization-for-safe-reinforcement-learning-1910.12156"/></url>
<url><loc>https://scifaro.com/en/abs/improved-zeroth-order-variance-reduced-algorithms-and-analysis-for-nonconvex-optimization-1910.12166</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-zeroth-order-variance-reduced-algorithms-and-analysis-for-nonconvex-optimization-1910.12166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-zeroth-order-variance-reduced-algorithms-and-analysis-for-nonconvex-optimization-1910.12166"/></url>
<url><loc>https://scifaro.com/en/abs/bail-best-action-imitation-learning-for-batch-deep-reinforcement-learning-1910.12179</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bail-best-action-imitation-learning-for-batch-deep-reinforcement-learning-1910.12179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bail-best-action-imitation-learning-for-batch-deep-reinforcement-learning-1910.12179"/></url>
<url><loc>https://scifaro.com/en/abs/federated-uncertainty-aware-learning-for-distributed-hospital-ehr-data-1910.12191</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-uncertainty-aware-learning-for-distributed-hospital-ehr-data-1910.12191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-uncertainty-aware-learning-for-distributed-hospital-ehr-data-1910.12191"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometric-interpretation-of-stochastic-gradient-descent-using-diffusion-metrics-1910.12194</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometric-interpretation-of-stochastic-gradient-descent-using-diffusion-metrics-1910.12194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometric-interpretation-of-stochastic-gradient-descent-using-diffusion-metrics-1910.12194"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-algorithm-for-low-rank-multitask-regression-1910.12204</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-algorithm-for-low-rank-multitask-regression-1910.12204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-algorithm-for-low-rank-multitask-regression-1910.12204"/></url>
<url><loc>https://scifaro.com/en/abs/an-active-approach-for-model-interpretation-1910.12207</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-active-approach-for-model-interpretation-1910.12207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-active-approach-for-model-interpretation-1910.12207"/></url>
<url><loc>https://scifaro.com/en/abs/edgefool-an-adversarial-image-enhancement-filter-1910.12227</loc><lastmod>2020-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edgefool-an-adversarial-image-enhancement-filter-1910.12227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edgefool-an-adversarial-image-enhancement-filter-1910.12227"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-distiller-a-python-package-for-dnn-compression-research-1910.12232</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-distiller-a-python-package-for-dnn-compression-research-1910.12232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-distiller-a-python-package-for-dnn-compression-research-1910.12232"/></url>
<url><loc>https://scifaro.com/en/abs/prnet-self-supervised-learning-for-partial-to-partial-registration-1910.12240</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prnet-self-supervised-learning-for-partial-to-partial-registration-1910.12240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prnet-self-supervised-learning-for-partial-to-partial-registration-1910.12240"/></url>
<url><loc>https://scifaro.com/en/abs/pre-train-and-learn-preserve-global-information-for-graph-neural-networks-1910.12241</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pre-train-and-learn-preserve-global-information-for-graph-neural-networks-1910.12241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pre-train-and-learn-preserve-global-information-for-graph-neural-networks-1910.12241"/></url>
<url><loc>https://scifaro.com/en/abs/solving-optimization-problems-through-fully-convolutional-networks-an-application-to-the-travelling-salesman-problem-1910.12243</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-optimization-problems-through-fully-convolutional-networks-an-application-to-the-travelling-salesman-problem-1910.12243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-optimization-problems-through-fully-convolutional-networks-an-application-to-the-travelling-salesman-problem-1910.12243"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-and-momental-bound-method-for-stochastic-learning-1910.12249</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-and-momental-bound-method-for-stochastic-learning-1910.12249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-and-momental-bound-method-for-stochastic-learning-1910.12249"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-stein-tests-for-multiple-model-comparison-1910.12252</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-stein-tests-for-multiple-model-comparison-1910.12252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-stein-tests-for-multiple-model-comparison-1910.12252"/></url>
<url><loc>https://scifaro.com/en/abs/compressed-sensing-with-probability-based-prior-information-1910.12258</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressed-sensing-with-probability-based-prior-information-1910.12258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressed-sensing-with-probability-based-prior-information-1910.12258"/></url>
<url><loc>https://scifaro.com/en/abs/l-relu-piece-wise-linear-activation-functions-for-deep-fine-grained-visual-categorization-1910.12259</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l-relu-piece-wise-linear-activation-functions-for-deep-fine-grained-visual-categorization-1910.12259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l-relu-piece-wise-linear-activation-functions-for-deep-fine-grained-visual-categorization-1910.12259"/></url>
<url><loc>https://scifaro.com/en/abs/deep-convolutional-autoencoder-for-cryptocurrency-market-analysis-1910.12281</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-convolutional-autoencoder-for-cryptocurrency-market-analysis-1910.12281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-convolutional-autoencoder-for-cryptocurrency-market-analysis-1910.12281"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-heterogeneous-distributions-with-an-uncountable-mixture-of-asymmetric-laplacians-1910.12288</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-heterogeneous-distributions-with-an-uncountable-mixture-of-asymmetric-laplacians-1910.12288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-heterogeneous-distributions-with-an-uncountable-mixture-of-asymmetric-laplacians-1910.12288"/></url>
<url><loc>https://scifaro.com/en/abs/treecaps-tree-structured-capsule-networks-for-program-source-code-processing-1910.12306</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/treecaps-tree-structured-capsule-networks-for-program-source-code-processing-1910.12306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/treecaps-tree-structured-capsule-networks-for-program-source-code-processing-1910.12306"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-decentralized-sgd-with-quantized-and-local-updates-1910.12308</loc><lastmod>2022-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-decentralized-sgd-with-quantized-and-local-updates-1910.12308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-decentralized-sgd-with-quantized-and-local-updates-1910.12308"/></url>
<url><loc>https://scifaro.com/en/abs/inherent-weight-normalization-in-stochastic-neural-networks-1910.12316</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inherent-weight-normalization-in-stochastic-neural-networks-1910.12316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inherent-weight-normalization-in-stochastic-neural-networks-1910.12316"/></url>
<url><loc>https://scifaro.com/en/abs/cxplain-causal-explanations-for-model-interpretation-under-uncertainty-1910.12336</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cxplain-causal-explanations-for-model-interpretation-under-uncertainty-1910.12336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cxplain-causal-explanations-for-model-interpretation-under-uncertainty-1910.12336"/></url>
<url><loc>https://scifaro.com/en/abs/input-cell-attention-reduces-vanishing-saliency-of-recurrent-neural-networks-1910.12370</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/input-cell-attention-reduces-vanishing-saliency-of-recurrent-neural-networks-1910.12370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/input-cell-attention-reduces-vanishing-saliency-of-recurrent-neural-networks-1910.12370"/></url>
<url><loc>https://scifaro.com/en/abs/landmark-ordinal-embedding-1910.12379</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/landmark-ordinal-embedding-1910.12379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/landmark-ordinal-embedding-1910.12379"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-loss-scaling-for-mixed-precision-training-1910.12385</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-loss-scaling-for-mixed-precision-training-1910.12385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-loss-scaling-for-mixed-precision-training-1910.12385"/></url>
<url><loc>https://scifaro.com/en/abs/components-of-machine-learning-binding-bits-and-flops-1910.12387</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/components-of-machine-learning-binding-bits-and-flops-1910.12387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/components-of-machine-learning-binding-bits-and-flops-1910.12387"/></url>
<url><loc>https://scifaro.com/en/abs/a-memory-enhanced-lstm-for-modeling-complex-temporal-dependencies-1910.12388</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-memory-enhanced-lstm-for-modeling-complex-temporal-dependencies-1910.12388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-memory-enhanced-lstm-for-modeling-complex-temporal-dependencies-1910.12388"/></url>
<url><loc>https://scifaro.com/en/abs/variable-selection-with-copula-entropy-1910.12389</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-selection-with-copula-entropy-1910.12389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-selection-with-copula-entropy-1910.12389"/></url>
<url><loc>https://scifaro.com/en/abs/locality-sensitive-hashing-for-f-divergences-mutual-information-loss-and-beyond-1910.12414</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locality-sensitive-hashing-for-f-divergences-mutual-information-loss-and-beyond-1910.12414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locality-sensitive-hashing-for-f-divergences-mutual-information-loss-and-beyond-1910.12414"/></url>
<url><loc>https://scifaro.com/en/abs/deep-causal-representation-learning-for-unsupervised-domain-adaptation-1910.12417</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-causal-representation-learning-for-unsupervised-domain-adaptation-1910.12417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-causal-representation-learning-for-unsupervised-domain-adaptation-1910.12417"/></url>
<url><loc>https://scifaro.com/en/abs/online-continuous-submodular-maximization-from-full-information-to-bandit-feedback-1910.12424</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-continuous-submodular-maximization-from-full-information-to-bandit-feedback-1910.12424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-continuous-submodular-maximization-from-full-information-to-bandit-feedback-1910.12424"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-convex-optimization-layers-1910.12430</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-convex-optimization-layers-1910.12430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-convex-optimization-layers-1910.12430"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-methods-for-model-based-reinforcement-learning-1910.12453</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-methods-for-model-based-reinforcement-learning-1910.12453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-methods-for-model-based-reinforcement-learning-1910.12453"/></url>
<url><loc>https://scifaro.com/en/abs/pt-mmd-a-novel-statistical-framework-for-the-evaluation-of-generative-systems-1910.12454</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pt-mmd-a-novel-statistical-framework-for-the-evaluation-of-generative-systems-1910.12454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pt-mmd-a-novel-statistical-framework-for-the-evaluation-of-generative-systems-1910.12454"/></url>
<url><loc>https://scifaro.com/en/abs/learning-latent-process-from-high-dimensional-event-sequences-via-efficient-sampling-1910.12469</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-latent-process-from-high-dimensional-event-sequences-via-efficient-sampling-1910.12469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-latent-process-from-high-dimensional-event-sequences-via-efficient-sampling-1910.12469"/></url>
<url><loc>https://scifaro.com/en/abs/generative-well-intentioned-networks-1910.12481</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-well-intentioned-networks-1910.12481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-well-intentioned-networks-1910.12481"/></url>
<url><loc>https://scifaro.com/en/abs/same-cluster-querying-for-overlapping-clusters-1910.12490</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/same-cluster-querying-for-overlapping-clusters-1910.12490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/same-cluster-querying-for-overlapping-clusters-1910.12490"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-sampling-for-stochastic-risk-averse-learning-1910.12511</loc><lastmod>2020-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-sampling-for-stochastic-risk-averse-learning-1910.12511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-sampling-for-stochastic-risk-averse-learning-1910.12511"/></url>
<url><loc>https://scifaro.com/en/abs/perceptnet-a-human-visual-system-inspired-neural-network-for-estimating-perceptual-distance-1910.12548</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perceptnet-a-human-visual-system-inspired-neural-network-for-estimating-perceptual-distance-1910.12548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perceptnet-a-human-visual-system-inspired-neural-network-for-estimating-perceptual-distance-1910.12548"/></url>
<url><loc>https://scifaro.com/en/abs/pc-fairness-a-unified-framework-for-measuring-causality-based-fairness-1910.12586</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pc-fairness-a-unified-framework-for-measuring-causality-based-fairness-1910.12586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pc-fairness-a-unified-framework-for-measuring-causality-based-fairness-1910.12586"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-the-success-of-television-series-using-machine-learning-1910.12589</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-the-success-of-television-series-using-machine-learning-1910.12589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-the-success-of-television-series-using-machine-learning-1910.12589"/></url>
<url><loc>https://scifaro.com/en/abs/lutnet-learning-fpga-configurations-for-highly-efficient-neural-network-inference-1910.12625</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lutnet-learning-fpga-configurations-for-highly-efficient-neural-network-inference-1910.12625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lutnet-learning-fpga-configurations-for-highly-efficient-neural-network-inference-1910.12625"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-temperature-scaling-obtaining-well-calibrated-multiclass-probabilities-with-dirichlet-calibration-1910.12656</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-temperature-scaling-obtaining-well-calibrated-multiclass-probabilities-with-dirichlet-calibration-1910.12656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-temperature-scaling-obtaining-well-calibrated-multiclass-probabilities-with-dirichlet-calibration-1910.12656"/></url>
<url><loc>https://scifaro.com/en/abs/fd-net-with-auxiliary-time-steps-fast-prediction-of-pdes-using-hessian-free-trust-region-methods-1910.12680</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fd-net-with-auxiliary-time-steps-fast-prediction-of-pdes-using-hessian-free-trust-region-methods-1910.12680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fd-net-with-auxiliary-time-steps-fast-prediction-of-pdes-using-hessian-free-trust-region-methods-1910.12680"/></url>
<url><loc>https://scifaro.com/en/abs/growing-axons-greedy-learning-of-neural-networks-with-application-to-function-approximation-1910.12686</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/growing-axons-greedy-learning-of-neural-networks-with-application-to-function-approximation-1910.12686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/growing-axons-greedy-learning-of-neural-networks-with-application-to-function-approximation-1910.12686"/></url>
<url><loc>https://scifaro.com/en/abs/layer-pruning-for-accelerating-very-deep-neural-networks-1910.12727</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layer-pruning-for-accelerating-very-deep-neural-networks-1910.12727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layer-pruning-for-accelerating-very-deep-neural-networks-1910.12727"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-machine-learning-models-in-predicting-the-intention-of-adolescents-to-smoke-cigarettes-1910.12748</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-machine-learning-models-in-predicting-the-intention-of-adolescents-to-smoke-cigarettes-1910.12748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-machine-learning-models-in-predicting-the-intention-of-adolescents-to-smoke-cigarettes-1910.12748"/></url>
<url><loc>https://scifaro.com/en/abs/hidra-head-initialization-across-dynamic-targets-for-robust-architectures-1910.12749</loc><lastmod>2020-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hidra-head-initialization-across-dynamic-targets-for-robust-architectures-1910.12749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hidra-head-initialization-across-dynamic-targets-for-robust-architectures-1910.12749"/></url>
<url><loc>https://scifaro.com/en/abs/fast-classification-rates-without-standard-margin-assumptions-1910.12756</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-classification-rates-without-standard-margin-assumptions-1910.12756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-classification-rates-without-standard-margin-assumptions-1910.12756"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-networked-learning-with-correlated-data-1910.12783</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-networked-learning-with-correlated-data-1910.12783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-networked-learning-with-correlated-data-1910.12783"/></url>
<url><loc>https://scifaro.com/en/abs/learning-data-manipulation-for-augmentation-and-weighting-1910.12795</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-data-manipulation-for-augmentation-and-weighting-1910.12795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-data-manipulation-for-augmentation-and-weighting-1910.12795"/></url>
<url><loc>https://scifaro.com/en/abs/attenuating-random-noise-in-seismic-data-by-a-deep-learning-approach-1910.12800</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attenuating-random-noise-in-seismic-data-by-a-deep-learning-approach-1910.12800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attenuating-random-noise-in-seismic-data-by-a-deep-learning-approach-1910.12800"/></url>
<url><loc>https://scifaro.com/en/abs/an-ensemble-approach-toward-automated-variable-selection-for-network-anomaly-detection-1910.12806</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-ensemble-approach-toward-automated-variable-selection-for-network-anomaly-detection-1910.12806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-ensemble-approach-toward-automated-variable-selection-for-network-anomaly-detection-1910.12806"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-weight-and-q-function-learning-for-off-policy-evaluation-1910.12809</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-weight-and-q-function-learning-for-off-policy-evaluation-1910.12809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-weight-and-q-function-learning-for-off-policy-evaluation-1910.12809"/></url>
<url><loc>https://scifaro.com/en/abs/semi-implicit-stochastic-recurrent-neural-networks-1910.12819</loc><lastmod>2020-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-implicit-stochastic-recurrent-neural-networks-1910.12819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-implicit-stochastic-recurrent-neural-networks-1910.12819"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-differential-privacy-1910.12820</loc><lastmod>2023-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-differential-privacy-1910.12820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-differential-privacy-1910.12820"/></url>
<url><loc>https://scifaro.com/en/abs/neural-architecture-evolution-in-deep-reinforcement-learning-for-continuous-control-1910.12824</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-architecture-evolution-in-deep-reinforcement-learning-for-continuous-control-1910.12824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-architecture-evolution-in-deep-reinforcement-learning-for-continuous-control-1910.12824"/></url>
<url><loc>https://scifaro.com/en/abs/entity-abstraction-in-visual-model-based-reinforcement-learning-1910.12827</loc><lastmod>2020-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entity-abstraction-in-visual-model-based-reinforcement-learning-1910.12827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entity-abstraction-in-visual-model-based-reinforcement-learning-1910.12827"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-distributed-data-summarization-under-covariate-shift-1910.12832</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-distributed-data-summarization-under-covariate-shift-1910.12832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-distributed-data-summarization-under-covariate-shift-1910.12832"/></url>
<url><loc>https://scifaro.com/en/abs/a-game-theoretic-approach-to-class-wise-selective-rationalization-1910.12853</loc><lastmod>2019-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-game-theoretic-approach-to-class-wise-selective-rationalization-1910.12853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-game-theoretic-approach-to-class-wise-selective-rationalization-1910.12853"/></url>
<url><loc>https://scifaro.com/en/abs/hyperbolic-graph-neural-networks-1910.12892</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperbolic-graph-neural-networks-1910.12892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperbolic-graph-neural-networks-1910.12892"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-in-reinforcement-learning-with-selective-noise-injection-and-information-bottleneck-1910.12911</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-in-reinforcement-learning-with-selective-noise-injection-and-information-bottleneck-1910.12911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-in-reinforcement-learning-with-selective-noise-injection-and-information-bottleneck-1910.12911"/></url>
<url><loc>https://scifaro.com/en/abs/hyperbolic-graph-convolutional-neural-networks-1910.12933</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperbolic-graph-convolutional-neural-networks-1910.12933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperbolic-graph-convolutional-neural-networks-1910.12933"/></url>
<url><loc>https://scifaro.com/en/abs/moving-towards-open-set-incremental-learning-readily-discovering-new-authors-1910.12944</loc><lastmod>2022-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moving-towards-open-set-incremental-learning-readily-discovering-new-authors-1910.12944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moving-towards-open-set-incremental-learning-readily-discovering-new-authors-1910.12944"/></url>
<url><loc>https://scifaro.com/en/abs/on-generalization-bounds-of-a-family-of-recurrent-neural-networks-1910.12947</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-generalization-bounds-of-a-family-of-recurrent-neural-networks-1910.12947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-generalization-bounds-of-a-family-of-recurrent-neural-networks-1910.12947"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-similarity-of-interactive-driving-behaviors-using-matrix-profile-1910.12969</loc><lastmod>2020-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-similarity-of-interactive-driving-behaviors-using-matrix-profile-1910.12969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-similarity-of-interactive-driving-behaviors-using-matrix-profile-1910.12969"/></url>
<url><loc>https://scifaro.com/en/abs/learning-transferable-graph-exploration-1910.12980</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-transferable-graph-exploration-1910.12980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-transferable-graph-exploration-1910.12980"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-distribution-equivalence-and-structure-learning-for-cyclic-and-acyclic-directed-graphs-1910.12993</loc><lastmod>2020-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-distribution-equivalence-and-structure-learning-for-cyclic-and-acyclic-directed-graphs-1910.12993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-distribution-equivalence-and-structure-learning-for-cyclic-and-acyclic-directed-graphs-1910.12993"/></url>
<url><loc>https://scifaro.com/en/abs/neural-similarity-learning-1910.13003</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-similarity-learning-1910.13003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-similarity-learning-1910.13003"/></url>
<url><loc>https://scifaro.com/en/abs/blimey-surrogate-prediction-explanations-beyond-lime-1910.13016</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blimey-surrogate-prediction-explanations-beyond-lime-1910.13016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blimey-surrogate-prediction-explanations-beyond-lime-1910.13016"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-louisiana-public-high-school-dropout-through-imbalanced-learning-techniques-1910.13018</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-louisiana-public-high-school-dropout-through-imbalanced-learning-techniques-1910.13018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-louisiana-public-high-school-dropout-through-imbalanced-learning-techniques-1910.13018"/></url>
<url><loc>https://scifaro.com/en/abs/active-subspace-of-neural-networks-structural-analysis-and-universal-attacks-1910.13025</loc><lastmod>2020-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-subspace-of-neural-networks-structural-analysis-and-universal-attacks-1910.13025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-subspace-of-neural-networks-structural-analysis-and-universal-attacks-1910.13025"/></url>
<url><loc>https://scifaro.com/en/abs/rocket-exceptionally-fast-and-accurate-time-series-classification-using-random-convolutional-kernels-1910.13051</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rocket-exceptionally-fast-and-accurate-time-series-classification-using-random-convolutional-kernels-1910.13051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rocket-exceptionally-fast-and-accurate-time-series-classification-using-random-convolutional-kernels-1910.13051"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-inference-for-nonparametric-hawkes-process-using-p-o-lya-gamma-augmentation-1910.13052</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-inference-for-nonparametric-hawkes-process-using-p-o-lya-gamma-augmentation-1910.13052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-inference-for-nonparametric-hawkes-process-using-p-o-lya-gamma-augmentation-1910.13052"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-over-wireless-networks-convergence-analysis-and-resource-allocation-1910.13067</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-over-wireless-networks-convergence-analysis-and-resource-allocation-1910.13067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-over-wireless-networks-convergence-analysis-and-resource-allocation-1910.13067"/></url>
<url><loc>https://scifaro.com/en/abs/glimps-a-greedy-mixed-integer-approach-for-super-robust-matched-subspace-detection-1910.13089</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/glimps-a-greedy-mixed-integer-approach-for-super-robust-matched-subspace-detection-1910.13089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/glimps-a-greedy-mixed-integer-approach-for-super-robust-matched-subspace-detection-1910.13089"/></url>
<url><loc>https://scifaro.com/en/abs/hyperbolic-node-embedding-for-signed-networks-1910.13090</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperbolic-node-embedding-for-signed-networks-1910.13090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperbolic-node-embedding-for-signed-networks-1910.13090"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-fisher-vectors-for-unsupervised-representation-learning-1910.13101</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-fisher-vectors-for-unsupervised-representation-learning-1910.13101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-fisher-vectors-for-unsupervised-representation-learning-1910.13101"/></url>
<url><loc>https://scifaro.com/en/abs/discriminant-analysis-based-on-projection-onto-generalized-difference-subspace-1910.13113</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminant-analysis-based-on-projection-onto-generalized-difference-subspace-1910.13113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminant-analysis-based-on-projection-onto-generalized-difference-subspace-1910.13113"/></url>
<url><loc>https://scifaro.com/en/abs/multitask-learning-on-graph-neural-networks-applied-to-molecular-property-predictions-1910.13124</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multitask-learning-on-graph-neural-networks-applied-to-molecular-property-predictions-1910.13124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multitask-learning-on-graph-neural-networks-applied-to-molecular-property-predictions-1910.13124"/></url>
<url><loc>https://scifaro.com/en/abs/concept-saliency-maps-to-visualize-relevant-features-in-deep-generative-models-1910.13140</loc><lastmod>2023-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-saliency-maps-to-visualize-relevant-features-in-deep-generative-models-1910.13140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-saliency-maps-to-visualize-relevant-features-in-deep-generative-models-1910.13140"/></url>
<url><loc>https://scifaro.com/en/abs/decomposable-net-scalable-low-rank-compression-for-neural-networks-1910.13141</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decomposable-net-scalable-low-rank-compression-for-neural-networks-1910.13141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decomposable-net-scalable-low-rank-compression-for-neural-networks-1910.13141"/></url>
<url><loc>https://scifaro.com/en/abs/a-prior-of-a-googol-gaussians-a-tensor-ring-induced-prior-for-generative-models-1910.13148</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-prior-of-a-googol-gaussians-a-tensor-ring-induced-prior-for-generative-models-1910.13148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-prior-of-a-googol-gaussians-a-tensor-ring-induced-prior-for-generative-models-1910.13148"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-bayesian-linear-regression-1910.13153</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-bayesian-linear-regression-1910.13153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-bayesian-linear-regression-1910.13153"/></url>
<url><loc>https://scifaro.com/en/abs/leanconvnets-low-cost-yet-effective-convolutional-neural-networks-1910.13157</loc><lastmod>2020-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leanconvnets-low-cost-yet-effective-convolutional-neural-networks-1910.13157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leanconvnets-low-cost-yet-effective-convolutional-neural-networks-1910.13157"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-the-elbo-and-mmd-1910.13181</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-the-elbo-and-mmd-1910.13181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-the-elbo-and-mmd-1910.13181"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-label-proportions-with-consistency-regularization-1910.13188</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-label-proportions-with-consistency-regularization-1910.13188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-label-proportions-with-consistency-regularization-1910.13188"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-tracing-with-sequential-key-value-memory-networks-1910.13197</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-tracing-with-sequential-key-value-memory-networks-1910.13197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-tracing-with-sequential-key-value-memory-networks-1910.13197"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-enhanced-multimodal-neural-representations-for-emotion-recognition-1910.13212</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-enhanced-multimodal-neural-representations-for-emotion-recognition-1910.13212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-enhanced-multimodal-neural-representations-for-emotion-recognition-1910.13212"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-bidding-campaigns-optimization-using-attribute-selection-1910.13292</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-bidding-campaigns-optimization-using-attribute-selection-1910.13292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-bidding-campaigns-optimization-using-attribute-selection-1910.13292"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-autoencoder-with-skip-connections-and-exogenous-variables-for-traffic-forecasting-1910.13295</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-autoencoder-with-skip-connections-and-exogenous-variables-for-traffic-forecasting-1910.13295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-autoencoder-with-skip-connections-and-exogenous-variables-for-traffic-forecasting-1910.13295"/></url>
<url><loc>https://scifaro.com/en/abs/symbolic-graph-embedding-using-frequent-pattern-mining-1910.13314</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symbolic-graph-embedding-using-frequent-pattern-mining-1910.13314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symbolic-graph-embedding-using-frequent-pattern-mining-1910.13314"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-based-analysis-of-sperm-videos-and-participant-data-for-male-fertility-prediction-1910.13327</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-based-analysis-of-sperm-videos-and-participant-data-for-male-fertility-prediction-1910.13327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-based-analysis-of-sperm-videos-and-participant-data-for-male-fertility-prediction-1910.13327"/></url>
<url><loc>https://scifaro.com/en/abs/towards-deep-physical-reservoir-computing-through-automatic-task-decomposition-and-mapping-1910.13332</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-deep-physical-reservoir-computing-through-automatic-task-decomposition-and-mapping-1910.13332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-deep-physical-reservoir-computing-through-automatic-task-decomposition-and-mapping-1910.13332"/></url>
<url><loc>https://scifaro.com/en/abs/e2-train-training-state-of-the-art-cnns-with-over-80-energy-savings-1910.13349</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/e2-train-training-state-of-the-art-cnns-with-over-80-energy-savings-1910.13349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/e2-train-training-state-of-the-art-cnns-with-over-80-energy-savings-1910.13349"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-gait-events-from-tibial-acceleration-in-rearfoot-running-a-structured-machine-learning-approach-1910.13372</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-gait-events-from-tibial-acceleration-in-rearfoot-running-a-structured-machine-learning-approach-1910.13372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-gait-events-from-tibial-acceleration-in-rearfoot-running-a-structured-machine-learning-approach-1910.13372"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-reinforcement-learning-has-zero-duality-gap-1910.13393</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-reinforcement-learning-has-zero-duality-gap-1910.13393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-reinforcement-learning-has-zero-duality-gap-1910.13393"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-of-reinforcement-learners-with-working-and-episodic-memory-1910.13406</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-of-reinforcement-learners-with-working-and-episodic-memory-1910.13406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-of-reinforcement-learners-with-working-and-episodic-memory-1910.13406"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-deep-learning-emulation-of-numerical-models-with-a-case-study-in-satellite-remote-sensing-1910.13408</loc><lastmod>2022-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-deep-learning-emulation-of-numerical-models-with-a-case-study-in-satellite-remote-sensing-1910.13408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-deep-learning-emulation-of-numerical-models-with-a-case-study-in-satellite-remote-sensing-1910.13408"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-deep-learning-for-domain-invariant-sentiment-classification-1910.13425</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-deep-learning-for-domain-invariant-sentiment-classification-1910.13425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-deep-learning-for-domain-invariant-sentiment-classification-1910.13425"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-density-tails-and-outliers-in-machine-learning-metrics-and-applications-1910.13427</loc><lastmod>2019-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-density-tails-and-outliers-in-machine-learning-metrics-and-applications-1910.13427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-density-tails-and-outliers-in-machine-learning-metrics-and-applications-1910.13427"/></url>
<url><loc>https://scifaro.com/en/abs/g2sat-learning-to-generate-sat-formulas-1910.13445</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/g2sat-learning-to-generate-sat-formulas-1910.13445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/g2sat-learning-to-generate-sat-formulas-1910.13445"/></url>
<url><loc>https://scifaro.com/en/abs/ordered-memory-1910.13466</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ordered-memory-1910.13466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ordered-memory-1910.13466"/></url>
<url><loc>https://scifaro.com/en/abs/weight-of-evidence-as-a-basis-for-human-oriented-explanations-1910.13503</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weight-of-evidence-as-a-basis-for-human-oriented-explanations-1910.13503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weight-of-evidence-as-a-basis-for-human-oriented-explanations-1910.13503"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalization-of-principal-component-analysis-1910.13511</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalization-of-principal-component-analysis-1910.13511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalization-of-principal-component-analysis-1910.13511"/></url>
<url><loc>https://scifaro.com/en/abs/dying-experts-efficient-algorithms-with-optimal-regret-bounds-1910.13521</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dying-experts-efficient-algorithms-with-optimal-regret-bounds-1910.13521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dying-experts-efficient-algorithms-with-optimal-regret-bounds-1910.13521"/></url>
<url><loc>https://scifaro.com/en/abs/a-heuristically-modified-fp-tree-for-ontology-learning-with-applications-in-education-1910.13561</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-heuristically-modified-fp-tree-for-ontology-learning-with-applications-in-education-1910.13561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-heuristically-modified-fp-tree-for-ontology-learning-with-applications-in-education-1910.13561"/></url>
<url><loc>https://scifaro.com/en/abs/function-space-distributions-over-kernels-1910.13565</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/function-space-distributions-over-kernels-1910.13565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/function-space-distributions-over-kernels-1910.13565"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-natural-language-approach-for-fine-grained-classification-of-medical-reports-1910.13573</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-natural-language-approach-for-fine-grained-classification-of-medical-reports-1910.13573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-natural-language-approach-for-fine-grained-classification-of-medical-reports-1910.13573"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-in-multitask-deep-neural-classifiers-a-statistical-physics-approach-1910.13593</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-in-multitask-deep-neural-classifiers-a-statistical-physics-approach-1910.13593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-in-multitask-deep-neural-classifiers-a-statistical-physics-approach-1910.13593"/></url>
<url><loc>https://scifaro.com/en/abs/local-sgd-with-periodic-averaging-tighter-analysis-and-adaptive-synchronization-1910.13598</loc><lastmod>2020-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-sgd-with-periodic-averaging-tighter-analysis-and-adaptive-synchronization-1910.13598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-sgd-with-periodic-averaging-tighter-analysis-and-adaptive-synchronization-1910.13598"/></url>
<url><loc>https://scifaro.com/en/abs/deep-weakly-supervised-anomaly-detection-1910.13601</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-weakly-supervised-anomaly-detection-1910.13601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-weakly-supervised-anomaly-detection-1910.13601"/></url>
<url><loc>https://scifaro.com/en/abs/when-maml-can-adapt-fast-and-how-to-assist-when-it-cannot-1910.13603</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-maml-can-adapt-fast-and-how-to-assist-when-it-cannot-1910.13603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-maml-can-adapt-fast-and-how-to-assist-when-it-cannot-1910.13603"/></url>
<url><loc>https://scifaro.com/en/abs/bounding-regression-errors-in-data-driven-power-grid-steady-state-models-1910.13613</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounding-regression-errors-in-data-driven-power-grid-steady-state-models-1910.13613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounding-regression-errors-in-data-driven-power-grid-steady-state-models-1910.13613"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-control-with-contexts-provably-1910.13614</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-control-with-contexts-provably-1910.13614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-control-with-contexts-provably-1910.13614"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-model-agnostic-meta-learning-via-task-aware-modulation-1910.13616</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-model-agnostic-meta-learning-via-task-aware-modulation-1910.13616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-model-agnostic-meta-learning-via-task-aware-modulation-1910.13616"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-analysis-of-subset-selection-based-l-p-low-rank-approximation-1910.13618</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-analysis-of-subset-selection-based-l-p-low-rank-approximation-1910.13618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-analysis-of-subset-selection-based-l-p-low-rank-approximation-1910.13618"/></url>
<url><loc>https://scifaro.com/en/abs/when-does-diversity-help-generalization-in-classification-ensembles-1910.13631</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-does-diversity-help-generalization-in-classification-ensembles-1910.13631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-does-diversity-help-generalization-in-classification-ensembles-1910.13631"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-testing-with-reusable-adversarial-agents-1910.13645</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-testing-with-reusable-adversarial-agents-1910.13645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-testing-with-reusable-adversarial-agents-1910.13645"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-privacy-preserving-stochastic-nonconvex-optimization-1910.13659</loc><lastmod>2023-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-privacy-preserving-stochastic-nonconvex-optimization-1910.13659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-privacy-preserving-stochastic-nonconvex-optimization-1910.13659"/></url>
<url><loc>https://scifaro.com/en/abs/input-output-equivalence-of-unitary-and-contractive-rnns-1910.13672</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/input-output-equivalence-of-unitary-and-contractive-rnns-1910.13672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/input-output-equivalence-of-unitary-and-contractive-rnns-1910.13672"/></url>
<url><loc>https://scifaro.com/en/abs/safe-exploration-for-interactive-machine-learning-1910.13726</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-exploration-for-interactive-machine-learning-1910.13726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-exploration-for-interactive-machine-learning-1910.13726"/></url>
<url><loc>https://scifaro.com/en/abs/structure-of-deep-neural-networks-with-a-priori-information-in-wireless-tasks-1910.13728</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-of-deep-neural-networks-with-a-priori-information-in-wireless-tasks-1910.13728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-of-deep-neural-networks-with-a-priori-information-in-wireless-tasks-1910.13728"/></url>
<url><loc>https://scifaro.com/en/abs/rational-kernels-a-survey-1910.13800</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rational-kernels-a-survey-1910.13800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rational-kernels-a-survey-1910.13800"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-optical-experiments-modeled-by-long-short-term-memory-1910.13804</loc><lastmod>2022-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-optical-experiments-modeled-by-long-short-term-memory-1910.13804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-optical-experiments-modeled-by-long-short-term-memory-1910.13804"/></url>
<url><loc>https://scifaro.com/en/abs/a-numerical-investigation-of-the-minimum-width-of-a-neural-network-1910.13817</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-numerical-investigation-of-the-minimum-width-of-a-neural-network-1910.13817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-numerical-investigation-of-the-minimum-width-of-a-neural-network-1910.13817"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-rainfall-using-machine-learning-techniques-1910.13827</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-rainfall-using-machine-learning-techniques-1910.13827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-rainfall-using-machine-learning-techniques-1910.13827"/></url>
<url><loc>https://scifaro.com/en/abs/extreme-classification-in-log-memory-using-count-min-sketch-a-case-study-of-amazon-search-with-50m-products-1910.13830</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extreme-classification-in-log-memory-using-count-min-sketch-a-case-study-of-amazon-search-with-50m-products-1910.13830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extreme-classification-in-log-memory-using-count-min-sketch-a-case-study-of-amazon-search-with-50m-products-1910.13830"/></url>
<url><loc>https://scifaro.com/en/abs/training-dnn-iot-applications-for-deployment-on-analog-nvm-crossbars-1910.13850</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-dnn-iot-applications-for-deployment-on-analog-nvm-crossbars-1910.13850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-dnn-iot-applications-for-deployment-on-analog-nvm-crossbars-1910.13850"/></url>
<url><loc>https://scifaro.com/en/abs/risk-bounds-for-reservoir-computing-1910.13886</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-bounds-for-reservoir-computing-1910.13886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-bounds-for-reservoir-computing-1910.13886"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deterministic-weighted-automata-with-queries-and-counterexamples-1910.13895</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deterministic-weighted-automata-with-queries-and-counterexamples-1910.13895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deterministic-weighted-automata-with-queries-and-counterexamples-1910.13895"/></url>
<url><loc>https://scifaro.com/en/abs/hidden-markov-models-for-sepsis-detection-in-preterm-infants-1910.13904</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hidden-markov-models-for-sepsis-detection-in-preterm-infants-1910.13904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hidden-markov-models-for-sepsis-detection-in-preterm-infants-1910.13904"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-matrix-means-for-semi-supervised-learning-with-multilayer-graphs-1910.13951</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-matrix-means-for-semi-supervised-learning-with-multilayer-graphs-1910.13951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-matrix-means-for-semi-supervised-learning-with-multilayer-graphs-1910.13951"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-role-of-momentum-in-stochastic-gradient-methods-1910.13962</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-role-of-momentum-in-stochastic-gradient-methods-1910.13962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-role-of-momentum-in-stochastic-gradient-methods-1910.13962"/></url>
<url><loc>https://scifaro.com/en/abs/a-classifiers-voting-model-for-exit-prediction-of-privately-held-companies-1910.13969</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-classifiers-voting-model-for-exit-prediction-of-privately-held-companies-1910.13969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-classifiers-voting-model-for-exit-prediction-of-privately-held-companies-1910.13969"/></url>
<url><loc>https://scifaro.com/en/abs/dadi-dynamic-discovery-of-fair-information-with-adversarial-reinforcement-learning-1910.13983</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dadi-dynamic-discovery-of-fair-information-with-adversarial-reinforcement-learning-1910.13983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dadi-dynamic-discovery-of-fair-information-with-adversarial-reinforcement-learning-1910.13983"/></url>
<url><loc>https://scifaro.com/en/abs/learning-based-low-rank-approximations-1910.13984</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-based-low-rank-approximations-1910.13984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-based-low-rank-approximations-1910.13984"/></url>
<url><loc>https://scifaro.com/en/abs/is-supervised-learning-with-adversarial-features-provably-better-than-sole-supervision-1910.13993</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-supervised-learning-with-adversarial-features-provably-better-than-sole-supervision-1910.13993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-supervised-learning-with-adversarial-features-provably-better-than-sole-supervision-1910.13993"/></url>
<url><loc>https://scifaro.com/en/abs/a-distributed-model-free-algorithm-for-multi-hop-ride-sharing-using-deep-reinforcement-learning-1910.14002</loc><lastmod>2019-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributed-model-free-algorithm-for-multi-hop-ride-sharing-using-deep-reinforcement-learning-1910.14002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributed-model-free-algorithm-for-multi-hop-ride-sharing-using-deep-reinforcement-learning-1910.14002"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-trained-with-wifi-traces-to-predict-airport-passenger-behavior-1910.14026</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-trained-with-wifi-traces-to-predict-airport-passenger-behavior-1910.14026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-trained-with-wifi-traces-to-predict-airport-passenger-behavior-1910.14026"/></url>
<url><loc>https://scifaro.com/en/abs/plan-arithmetic-compositional-plan-vectors-for-multi-task-control-1910.14033</loc><lastmod>2020-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plan-arithmetic-compositional-plan-vectors-for-multi-task-control-1910.14033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plan-arithmetic-compositional-plan-vectors-for-multi-task-control-1910.14033"/></url>
<url><loc>https://scifaro.com/en/abs/policy-continuation-with-hindsight-inverse-dynamics-1910.14055</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-continuation-with-hindsight-inverse-dynamics-1910.14055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-continuation-with-hindsight-inverse-dynamics-1910.14055"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-star-galaxy-classification-with-cascade-variational-auto-encoder-1910.14056</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-star-galaxy-classification-with-cascade-variational-auto-encoder-1910.14056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-star-galaxy-classification-with-cascade-variational-auto-encoder-1910.14056"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-prediction-of-adverse-outcomes-using-clinical-notes-1910.14095</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-prediction-of-adverse-outcomes-using-clinical-notes-1910.14095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-prediction-of-adverse-outcomes-using-clinical-notes-1910.14095"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-computationally-efficient-anomaly-detection-using-powers-of-two-networks-1910.14096</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-computationally-efficient-anomaly-detection-using-powers-of-two-networks-1910.14096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-computationally-efficient-anomaly-detection-using-powers-of-two-networks-1910.14096"/></url>
<url><loc>https://scifaro.com/en/abs/sample-complexity-of-learning-mixtures-of-sparse-linear-regressions-1910.14106</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-complexity-of-learning-mixtures-of-sparse-linear-regressions-1910.14106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-complexity-of-learning-mixtures-of-sparse-linear-regressions-1910.14106"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-resistance-of-deep-learning-based-ids-against-adversaries-using-min-max-optimization-1910.14107</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-resistance-of-deep-learning-based-ids-against-adversaries-using-min-max-optimization-1910.14107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-resistance-of-deep-learning-based-ids-against-adversaries-using-min-max-optimization-1910.14107"/></url>
<url><loc>https://scifaro.com/en/abs/what-is-fair-exploring-pareto-efficiency-for-fairness-constrained-classifiers-1910.14120</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-is-fair-exploring-pareto-efficiency-for-fairness-constrained-classifiers-1910.14120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-is-fair-exploring-pareto-efficiency-for-fairness-constrained-classifiers-1910.14120"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-to-cluster-1910.14134</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-to-cluster-1910.14134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-to-cluster-1910.14134"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-data-poisoning-attack-to-graph-based-semi-supervised-learning-1910.14147</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-data-poisoning-attack-to-graph-based-semi-supervised-learning-1910.14147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-data-poisoning-attack-to-graph-based-semi-supervised-learning-1910.14147"/></url>
<url><loc>https://scifaro.com/en/abs/lsh-sampling-breaks-the-computation-chicken-and-egg-loop-in-adaptive-stochastic-gradient-estimation-1910.14162</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lsh-sampling-breaks-the-computation-chicken-and-egg-loop-in-adaptive-stochastic-gradient-estimation-1910.14162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lsh-sampling-breaks-the-computation-chicken-and-egg-loop-in-adaptive-stochastic-gradient-estimation-1910.14162"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-hessian-sketch-in-input-sparsity-time-1910.14166</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-hessian-sketch-in-input-sparsity-time-1910.14166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-hessian-sketch-in-input-sparsity-time-1910.14166"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-regularization-properties-of-structured-dropout-1910.14186</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-regularization-properties-of-structured-dropout-1910.14186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-regularization-properties-of-structured-dropout-1910.14186"/></url>
<url><loc>https://scifaro.com/en/abs/sobolev-independence-criterion-1910.14212</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sobolev-independence-criterion-1910.14212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sobolev-independence-criterion-1910.14212"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-uncertainty-in-deep-learning-1910.14215</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-uncertainty-in-deep-learning-1910.14215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-uncertainty-in-deep-learning-1910.14215"/></url>
<url><loc>https://scifaro.com/en/abs/learning-disentangled-representations-for-recommendation-1910.14238</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-disentangled-representations-for-recommendation-1910.14238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-disentangled-representations-for-recommendation-1910.14238"/></url>
<url><loc>https://scifaro.com/en/abs/energy-inspired-models-learning-with-sampler-induced-distributions-1910.14265</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-inspired-models-learning-with-sampler-induced-distributions-1910.14265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-inspired-models-learning-with-sampler-induced-distributions-1910.14265"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-sharing-decoder-pair-for-auto-composing-1910.14270</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-sharing-decoder-pair-for-auto-composing-1910.14270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-sharing-decoder-pair-for-auto-composing-1910.14270"/></url>
<url><loc>https://scifaro.com/en/abs/rlink-deep-reinforcement-learning-for-user-identity-linkage-1910.14273</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rlink-deep-reinforcement-learning-for-user-identity-linkage-1910.14273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rlink-deep-reinforcement-learning-for-user-identity-linkage-1910.14273"/></url>
<url><loc>https://scifaro.com/en/abs/bottlenet-an-end-to-end-approach-for-feature-compression-in-device-edge-co-inference-systems-1910.14315</loc><lastmod>2020-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bottlenet-an-end-to-end-approach-for-feature-compression-in-device-edge-co-inference-systems-1910.14315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bottlenet-an-end-to-end-approach-for-feature-compression-in-device-edge-co-inference-systems-1910.14315"/></url>
<url><loc>https://scifaro.com/en/abs/vase-variational-assorted-surprise-exploration-for-reinforcement-learning-1910.14351</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vase-variational-assorted-surprise-exploration-for-reinforcement-learning-1910.14351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vase-variational-assorted-surprise-exploration-for-reinforcement-learning-1910.14351"/></url>
<url><loc>https://scifaro.com/en/abs/certifiable-robustness-to-graph-perturbations-1910.14356</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certifiable-robustness-to-graph-perturbations-1910.14356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certifiable-robustness-to-graph-perturbations-1910.14356"/></url>
<url><loc>https://scifaro.com/en/abs/object-oriented-state-editing-for-hrl-1910.14361</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/object-oriented-state-editing-for-hrl-1910.14361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/object-oriented-state-editing-for-hrl-1910.14361"/></url>
<url><loc>https://scifaro.com/en/abs/image-conditioned-graph-generation-for-road-network-extraction-1910.14388</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/image-conditioned-graph-generation-for-road-network-extraction-1910.14388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/image-conditioned-graph-generation-for-road-network-extraction-1910.14388"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-local-descent-methods-in-federated-learning-1910.14425</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-local-descent-methods-in-federated-learning-1910.14425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-local-descent-methods-in-federated-learning-1910.14425"/></url>
<url><loc>https://scifaro.com/en/abs/learning-fairness-in-multi-agent-systems-1910.14472</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-fairness-in-multi-agent-systems-1910.14472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-fairness-in-multi-agent-systems-1910.14472"/></url>
<url><loc>https://scifaro.com/en/abs/in-place-zero-space-memory-protection-for-cnn-1910.14479</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-place-zero-space-memory-protection-for-cnn-1910.14479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-place-zero-space-memory-protection-for-cnn-1910.14479"/></url>
<url><loc>https://scifaro.com/en/abs/continual-unsupervised-representation-learning-1910.14481</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-unsupervised-representation-learning-1910.14481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-unsupervised-representation-learning-1910.14481"/></url>
<url><loc>https://scifaro.com/en/abs/nat-neural-architecture-transformer-for-accurate-and-compact-architectures-1910.14488</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nat-neural-architecture-transformer-for-accurate-and-compact-architectures-1910.14488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nat-neural-architecture-transformer-for-accurate-and-compact-architectures-1910.14488"/></url>
<url><loc>https://scifaro.com/en/abs/transport-model-for-feature-extraction-1910.14543</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transport-model-for-feature-extraction-1910.14543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transport-model-for-feature-extraction-1910.14543"/></url>
<url><loc>https://scifaro.com/en/abs/solving-nmf-with-smoothness-and-sparsity-constraints-using-palm-1910.14576</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-nmf-with-smoothness-and-sparsity-constraints-using-palm-1910.14576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-nmf-with-smoothness-and-sparsity-constraints-using-palm-1910.14576"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-2d-and-3d-rotatable-data-an-overview-of-methods-1910.14594</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-2d-and-3d-rotatable-data-an-overview-of-methods-1910.14594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-2d-and-3d-rotatable-data-an-overview-of-methods-1910.14594"/></url>
<url><loc>https://scifaro.com/en/abs/neural-assistant-joint-action-prediction-response-generation-and-latent-knowledge-reasoning-1910.14613</loc><lastmod>2019-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-assistant-joint-action-prediction-response-generation-and-latent-knowledge-reasoning-1910.14613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-assistant-joint-action-prediction-response-generation-and-latent-knowledge-reasoning-1910.14613"/></url>
<url><loc>https://scifaro.com/en/abs/denoising-and-regularization-via-exploiting-the-structural-bias-of-convolutional-generators-1910.14634</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/denoising-and-regularization-via-exploiting-the-structural-bias-of-convolutional-generators-1910.14634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/denoising-and-regularization-via-exploiting-the-structural-bias-of-convolutional-generators-1910.14634"/></url>
<url><loc>https://scifaro.com/en/abs/graph-structured-prediction-energy-networks-1910.14670</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-structured-prediction-energy-networks-1910.14670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-structured-prediction-energy-networks-1910.14670"/></url>
<url><loc>https://scifaro.com/en/abs/pic-permutation-invariant-critic-for-multi-agent-deep-reinforcement-learning-1911.00025</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pic-permutation-invariant-critic-for-multi-agent-deep-reinforcement-learning-1911.00025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pic-permutation-invariant-critic-for-multi-agent-deep-reinforcement-learning-1911.00025"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-feature-representations-for-affective-speech-using-generative-adversarial-networks-1911.00030</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-feature-representations-for-affective-speech-using-generative-adversarial-networks-1911.00030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-feature-representations-for-affective-speech-using-generative-adversarial-networks-1911.00030"/></url>
<url><loc>https://scifaro.com/en/abs/context-aware-local-differential-privacy-1911.00038</loc><lastmod>2020-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-aware-local-differential-privacy-1911.00038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-aware-local-differential-privacy-1911.00038"/></url>
<url><loc>https://scifaro.com/en/abs/drum-end-to-end-differentiable-rule-mining-on-knowledge-graphs-1911.00055</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drum-end-to-end-differentiable-rule-mining-on-knowledge-graphs-1911.00055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drum-end-to-end-differentiable-rule-mining-on-knowledge-graphs-1911.00055"/></url>
<url><loc>https://scifaro.com/en/abs/deepline-automl-tool-for-pipelines-generation-using-deep-reinforcement-learning-and-hierarchical-actions-filtering-1911.00061</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepline-automl-tool-for-pipelines-generation-using-deep-reinforcement-learning-and-hierarchical-actions-filtering-1911.00061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepline-automl-tool-for-pipelines-generation-using-deep-reinforcement-learning-and-hierarchical-actions-filtering-1911.00061"/></url>
<url><loc>https://scifaro.com/en/abs/text-to-image-synthesis-method-evaluation-based-on-visual-patterns-1911.00077</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/text-to-image-synthesis-method-evaluation-based-on-visual-patterns-1911.00077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/text-to-image-synthesis-method-evaluation-based-on-visual-patterns-1911.00077"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-of-subsurface-flow-via-theory-guided-neural-network-1911.00103</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-of-subsurface-flow-via-theory-guided-neural-network-1911.00103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-of-subsurface-flow-via-theory-guided-neural-network-1911.00103"/></url>
<url><loc>https://scifaro.com/en/abs/towards-calibrated-and-scalable-uncertainty-representations-for-neural-networks-1911.00104</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-calibrated-and-scalable-uncertainty-representations-for-neural-networks-1911.00104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-calibrated-and-scalable-uncertainty-representations-for-neural-networks-1911.00104"/></url>
<url><loc>https://scifaro.com/en/abs/on-neural-architecture-search-for-resource-constrained-hardware-platforms-1911.00105</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-neural-architecture-search-for-resource-constrained-hardware-platforms-1911.00105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-neural-architecture-search-for-resource-constrained-hardware-platforms-1911.00105"/></url>
<url><loc>https://scifaro.com/en/abs/rankml-a-meta-learning-based-approach-for-pre-ranking-machine-learning-pipelines-1911.00108</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rankml-a-meta-learning-based-approach-for-pre-ranking-machine-learning-pipelines-1911.00108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rankml-a-meta-learning-based-approach-for-pre-ranking-machine-learning-pipelines-1911.00108"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-politics-of-an-image-using-webly-supervised-data-1911.00147</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-politics-of-an-image-using-webly-supervised-data-1911.00147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-politics-of-an-image-using-webly-supervised-data-1911.00147"/></url>
<url><loc>https://scifaro.com/en/abs/podnet-a-neural-network-for-discovery-of-plannable-options-1911.00171</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/podnet-a-neural-network-for-discovery-of-plannable-options-1911.00171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/podnet-a-neural-network-for-discovery-of-plannable-options-1911.00171"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-non-negative-spectral-embedding-for-clustering-1911.00179</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-non-negative-spectral-embedding-for-clustering-1911.00179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-non-negative-spectral-embedding-for-clustering-1911.00179"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-hoca-efficient-high-order-cross-modal-attention-for-video-captioning-1911.00212</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-hoca-efficient-high-order-cross-modal-attention-for-video-captioning-1911.00212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-hoca-efficient-high-order-cross-modal-attention-for-video-captioning-1911.00212"/></url>
<url><loc>https://scifaro.com/en/abs/on-distributed-quantization-for-classification-1911.00216</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-distributed-quantization-for-classification-1911.00216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-distributed-quantization-for-classification-1911.00216"/></url>
<url><loc>https://scifaro.com/en/abs/interacte-improving-convolution-based-knowledge-graph-embeddings-by-increasing-feature-interactions-1911.00219</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interacte-improving-convolution-based-knowledge-graph-embeddings-by-increasing-feature-interactions-1911.00219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interacte-improving-convolution-based-knowledge-graph-embeddings-by-increasing-feature-interactions-1911.00219"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-differential-privacy-algorithms-and-performance-analysis-1911.00222</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-differential-privacy-algorithms-and-performance-analysis-1911.00222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-differential-privacy-algorithms-and-performance-analysis-1911.00222"/></url>
<url><loc>https://scifaro.com/en/abs/active-2-learning-actively-reducing-redundancies-in-active-learning-methods-for-sequence-tagging-and-machine-translation-1911.00234</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-2-learning-actively-reducing-redundancies-in-active-learning-methods-for-sequence-tagging-and-machine-translation-1911.00234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-2-learning-actively-reducing-redundancies-in-active-learning-methods-for-sequence-tagging-and-machine-translation-1911.00234"/></url>
<url><loc>https://scifaro.com/en/abs/situated-gail-multitask-imitation-using-task-conditioned-adversarial-inverse-reinforcement-learning-1911.00238</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/situated-gail-multitask-imitation-using-task-conditioned-adversarial-inverse-reinforcement-learning-1911.00238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/situated-gail-multitask-imitation-using-task-conditioned-adversarial-inverse-reinforcement-learning-1911.00238"/></url>
<url><loc>https://scifaro.com/en/abs/robust-federated-learning-with-noisy-communication-1911.00251</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-federated-learning-with-noisy-communication-1911.00251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-federated-learning-with-noisy-communication-1911.00251"/></url>
<url><loc>https://scifaro.com/en/abs/finding-the-most-similar-textual-documents-using-case-based-reasoning-1911.00262</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-the-most-similar-textual-documents-using-case-based-reasoning-1911.00262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-the-most-similar-textual-documents-using-case-based-reasoning-1911.00262"/></url>
<url><loc>https://scifaro.com/en/abs/robust-contrastive-learning-and-nonlinear-ica-in-the-presence-of-outliers-1911.00265</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-contrastive-learning-and-nonlinear-ica-in-the-presence-of-outliers-1911.00265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-contrastive-learning-and-nonlinear-ica-in-the-presence-of-outliers-1911.00265"/></url>
<url><loc>https://scifaro.com/en/abs/does-adam-optimizer-keep-close-to-the-optimal-point-1911.00289</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-adam-optimizer-keep-close-to-the-optimal-point-1911.00289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-adam-optimizer-keep-close-to-the-optimal-point-1911.00289"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hawkes-processes-from-a-handful-of-events-1911.00292</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hawkes-processes-from-a-handful-of-events-1911.00292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hawkes-processes-from-a-handful-of-events-1911.00292"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-evolutions-of-critical-points-1911.00298</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-evolutions-of-critical-points-1911.00298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-evolutions-of-critical-points-1911.00298"/></url>
<url><loc>https://scifaro.com/en/abs/deep-bidirectional-transformers-for-relation-extraction-without-supervision-1911.00313</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-bidirectional-transformers-for-relation-extraction-without-supervision-1911.00313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-bidirectional-transformers-for-relation-extraction-without-supervision-1911.00313"/></url>
<url><loc>https://scifaro.com/en/abs/picking-groups-instead-of-samples-a-close-look-at-static-pool-based-meta-active-learning-1911.00314</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/picking-groups-instead-of-samples-a-close-look-at-static-pool-based-meta-active-learning-1911.00314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/picking-groups-instead-of-samples-a-close-look-at-static-pool-based-meta-active-learning-1911.00314"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-via-conditional-kolmogorov-complexity-using-mdl-binning-1911.00332</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-via-conditional-kolmogorov-complexity-using-mdl-binning-1911.00332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-via-conditional-kolmogorov-complexity-using-mdl-binning-1911.00332"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-precision-training-quantify-back-propagation-in-neural-networks-with-fixed-point-numbers-1911.00361</loc><lastmod>2020-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-precision-training-quantify-back-propagation-in-neural-networks-with-fixed-point-numbers-1911.00361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-precision-training-quantify-back-propagation-in-neural-networks-with-fixed-point-numbers-1911.00361"/></url>
<url><loc>https://scifaro.com/en/abs/a-formal-proof-of-pac-learnability-for-decision-stumps-1911.00385</loc><lastmod>2021-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-formal-proof-of-pac-learnability-for-decision-stumps-1911.00385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-formal-proof-of-pac-learnability-for-decision-stumps-1911.00385"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-speedy-q-learning-1911.00397</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-speedy-q-learning-1911.00397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-speedy-q-learning-1911.00397"/></url>
<url><loc>https://scifaro.com/en/abs/sparsely-activated-networks-a-new-method-for-decomposing-and-compressing-data-1911.00400</loc><lastmod>2022-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsely-activated-networks-a-new-method-for-decomposing-and-compressing-data-1911.00400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsely-activated-networks-a-new-method-for-decomposing-and-compressing-data-1911.00400"/></url>
<url><loc>https://scifaro.com/en/abs/on-second-order-group-influence-functions-for-black-box-predictions-1911.00418</loc><lastmod>2020-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-second-order-group-influence-functions-for-black-box-predictions-1911.00418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-second-order-group-influence-functions-for-black-box-predictions-1911.00418"/></url>
<url><loc>https://scifaro.com/en/abs/positive-unlabeled-reward-learning-1911.00459</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/positive-unlabeled-reward-learning-1911.00459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/positive-unlabeled-reward-learning-1911.00459"/></url>
<url><loc>https://scifaro.com/en/abs/arsm-gradient-estimator-for-supervised-learning-to-rank-1911.00465</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arsm-gradient-estimator-for-supervised-learning-to-rank-1911.00465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arsm-gradient-estimator-for-supervised-learning-to-rank-1911.00465"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-black-box-decisions-by-shapley-cohort-refinement-1911.00467</loc><lastmod>2020-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-black-box-decisions-by-shapley-cohort-refinement-1911.00467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-black-box-decisions-by-shapley-cohort-refinement-1911.00467"/></url>
<url><loc>https://scifaro.com/en/abs/progressive-compressed-records-taking-a-byte-out-of-deep-learning-data-1911.00472</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progressive-compressed-records-taking-a-byte-out-of-deep-learning-data-1911.00472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progressive-compressed-records-taking-a-byte-out-of-deep-learning-data-1911.00472"/></url>
<url><loc>https://scifaro.com/en/abs/toward-a-better-monitoring-statistic-for-profile-monitoring-via-variational-autoencoders-1911.00482</loc><lastmod>2022-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-a-better-monitoring-statistic-for-profile-monitoring-via-variational-autoencoders-1911.00482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-a-better-monitoring-statistic-for-profile-monitoring-via-variational-autoencoders-1911.00482"/></url>
<url><loc>https://scifaro.com/en/abs/explanation-by-progressive-exaggeration-1911.00483</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explanation-by-progressive-exaggeration-1911.00483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explanation-by-progressive-exaggeration-1911.00483"/></url>
<url><loc>https://scifaro.com/en/abs/learning-without-loss-1911.00493</loc><lastmod>2019-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-without-loss-1911.00493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-without-loss-1911.00493"/></url>
<url><loc>https://scifaro.com/en/abs/review-ordinary-differential-equations-for-deep-learning-1911.00502</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/review-ordinary-differential-equations-for-deep-learning-1911.00502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/review-ordinary-differential-equations-for-deep-learning-1911.00502"/></url>
<url><loc>https://scifaro.com/en/abs/frequentist-regret-bounds-for-randomized-least-squares-value-iteration-1911.00567</loc><lastmod>2023-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frequentist-regret-bounds-for-randomized-least-squares-value-iteration-1911.00567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frequentist-regret-bounds-for-randomized-least-squares-value-iteration-1911.00567"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-the-effects-of-non-identifiability-on-inference-for-bayesian-neural-networks-with-latent-variables-1911.00569</loc><lastmod>2022-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-the-effects-of-non-identifiability-on-inference-for-bayesian-neural-networks-with-latent-variables-1911.00569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-the-effects-of-non-identifiability-on-inference-for-bayesian-neural-networks-with-latent-variables-1911.00569"/></url>
<url><loc>https://scifaro.com/en/abs/time-aware-gated-recurrent-unit-networks-for-road-surface-friction-prediction-using-historical-data-1911.00605</loc><lastmod>2020-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-aware-gated-recurrent-unit-networks-for-road-surface-friction-prediction-using-historical-data-1911.00605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-aware-gated-recurrent-unit-networks-for-road-surface-friction-prediction-using-historical-data-1911.00605"/></url>
<url><loc>https://scifaro.com/en/abs/novelty-detection-and-learning-from-extremely-weak-supervision-1911.00616</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novelty-detection-and-learning-from-extremely-weak-supervision-1911.00616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novelty-detection-and-learning-from-extremely-weak-supervision-1911.00616"/></url>
<url><loc>https://scifaro.com/en/abs/explicit-explore-exploit-algorithms-in-continuous-state-spaces-1911.00617</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explicit-explore-exploit-algorithms-in-continuous-state-spaces-1911.00617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explicit-explore-exploit-algorithms-in-continuous-state-spaces-1911.00617"/></url>
<url><loc>https://scifaro.com/en/abs/on-device-machine-learning-an-algorithms-and-learning-theory-perspective-1911.00623</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-device-machine-learning-an-algorithms-and-learning-theory-perspective-1911.00623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-device-machine-learning-an-algorithms-and-learning-theory-perspective-1911.00623"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-weather-uncertainty-with-deep-convnets-1911.00630</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-weather-uncertainty-with-deep-convnets-1911.00630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-weather-uncertainty-with-deep-convnets-1911.00630"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-contextual-bandit-problems-with-auxiliary-safety-constraints-1911.00638</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-contextual-bandit-problems-with-auxiliary-safety-constraints-1911.00638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-contextual-bandit-problems-with-auxiliary-safety-constraints-1911.00638"/></url>
<url><loc>https://scifaro.com/en/abs/global-convergence-of-gradient-descent-for-deep-linear-residual-networks-1911.00645</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convergence-of-gradient-descent-for-deep-linear-residual-networks-1911.00645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convergence-of-gradient-descent-for-deep-linear-residual-networks-1911.00645"/></url>
<url><loc>https://scifaro.com/en/abs/on-modelling-label-uncertainty-in-deep-neural-networks-automatic-estimation-of-intra-observer-variability-in-2d-echocardiography-quality-assessment-1911.00674</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-modelling-label-uncertainty-in-deep-neural-networks-automatic-estimation-of-intra-observer-variability-in-2d-echocardiography-quality-assessment-1911.00674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-modelling-label-uncertainty-in-deep-neural-networks-automatic-estimation-of-intra-observer-variability-in-2d-echocardiography-quality-assessment-1911.00674"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-violations-and-mitigation-under-covariate-shift-1911.00677</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-violations-and-mitigation-under-covariate-shift-1911.00677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-violations-and-mitigation-under-covariate-shift-1911.00677"/></url>
<url><loc>https://scifaro.com/en/abs/unmasking-deepfakes-with-simple-features-1911.00686</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unmasking-deepfakes-with-simple-features-1911.00686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unmasking-deepfakes-with-simple-features-1911.00686"/></url>
<url><loc>https://scifaro.com/en/abs/order-optimal-one-shot-distributed-learning-1911.00731</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/order-optimal-one-shot-distributed-learning-1911.00731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/order-optimal-one-shot-distributed-learning-1911.00731"/></url>
<url><loc>https://scifaro.com/en/abs/beta-dvbf-learning-state-space-models-for-control-from-high-dimensional-observations-1911.00756</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beta-dvbf-learning-state-space-models-for-control-from-high-dimensional-observations-1911.00756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beta-dvbf-learning-state-space-models-for-control-from-high-dimensional-observations-1911.00756"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-inference-of-hidden-stochastic-processes-with-unknown-parameters-1911.00757</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-inference-of-hidden-stochastic-processes-with-unknown-parameters-1911.00757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-inference-of-hidden-stochastic-processes-with-unknown-parameters-1911.00757"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-statistical-learning-with-bayesian-differential-privacy-1911.00765</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-statistical-learning-with-bayesian-differential-privacy-1911.00765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-statistical-learning-with-bayesian-differential-privacy-1911.00765"/></url>
<url><loc>https://scifaro.com/en/abs/ten-year-survival-prediction-for-breast-cancer-patients-1911.00776</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ten-year-survival-prediction-for-breast-cancer-patients-1911.00776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ten-year-survival-prediction-for-breast-cancer-patients-1911.00776"/></url>
<url><loc>https://scifaro.com/en/abs/laplacian-smoothing-stochastic-gradient-markov-chain-monte-carlo-1911.00782</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/laplacian-smoothing-stochastic-gradient-markov-chain-monte-carlo-1911.00782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/laplacian-smoothing-stochastic-gradient-markov-chain-monte-carlo-1911.00782"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithm-for-routing-capsules-in-all-domains-1911.00792</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithm-for-routing-capsules-in-all-domains-1911.00792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithm-for-routing-capsules-in-all-domains-1911.00792"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-to-unseen-domains-via-distribution-matching-1911.00804</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-to-unseen-domains-via-distribution-matching-1911.00804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-to-unseen-domains-via-distribution-matching-1911.00804"/></url>
<url><loc>https://scifaro.com/en/abs/enhanced-convolutional-neural-tangent-kernels-1911.00809</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhanced-convolutional-neural-tangent-kernels-1911.00809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhanced-convolutional-neural-tangent-kernels-1911.00809"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-entropy-diverse-exploration-disentangling-maximum-entropy-reinforcement-learning-1911.00828</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-entropy-diverse-exploration-disentangling-maximum-entropy-reinforcement-learning-1911.00828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-entropy-diverse-exploration-disentangling-maximum-entropy-reinforcement-learning-1911.00828"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-deep-learning-approach-in-streaming-environments-1911.00847</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-deep-learning-approach-in-streaming-environments-1911.00847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-deep-learning-approach-in-streaming-environments-1911.00847"/></url>
<url><loc>https://scifaro.com/en/abs/madnet-using-a-mad-optimization-for-defending-against-adversarial-attacks-1911.00870</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/madnet-using-a-mad-optimization-for-defending-against-adversarial-attacks-1911.00870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/madnet-using-a-mad-optimization-for-defending-against-adversarial-attacks-1911.00870"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-adversarial-sampling-and-deep-time-aware-attention-for-click-through-rate-prediction-1911.00886</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-adversarial-sampling-and-deep-time-aware-attention-for-click-through-rate-prediction-1911.00886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-adversarial-sampling-and-deep-time-aware-attention-for-click-through-rate-prediction-1911.00886"/></url>
<url><loc>https://scifaro.com/en/abs/online-robustness-training-for-deep-reinforcement-learning-1911.00887</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-robustness-training-for-deep-reinforcement-learning-1911.00887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-robustness-training-for-deep-reinforcement-learning-1911.00887"/></url>
<url><loc>https://scifaro.com/en/abs/multi-marginal-wasserstein-gan-1911.00888</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-marginal-wasserstein-gan-1911.00888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-marginal-wasserstein-gan-1911.00888"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-learning-with-rejection-for-classification-and-regression-problems-1911.00896</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-learning-with-rejection-for-classification-and-regression-problems-1911.00896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-learning-with-rejection-for-classification-and-regression-problems-1911.00896"/></url>
<url><loc>https://scifaro.com/en/abs/variable-grouping-based-bayesian-additive-regression-tree-1911.00922</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-grouping-based-bayesian-additive-regression-tree-1911.00922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-grouping-based-bayesian-additive-regression-tree-1911.00922"/></url>
<url><loc>https://scifaro.com/en/abs/finite-sample-analysis-of-decentralized-temporal-difference-learning-with-linear-function-approximation-1911.00934</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-sample-analysis-of-decentralized-temporal-difference-learning-with-linear-function-approximation-1911.00934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-sample-analysis-of-decentralized-temporal-difference-learning-with-linear-function-approximation-1911.00934"/></url>
<url><loc>https://scifaro.com/en/abs/preventing-gradient-attenuation-in-lipschitz-constrained-convolutional-networks-1911.00937</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preventing-gradient-attenuation-in-lipschitz-constrained-convolutional-networks-1911.00937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preventing-gradient-attenuation-in-lipschitz-constrained-convolutional-networks-1911.00937"/></url>
<url><loc>https://scifaro.com/en/abs/computationally-efficient-versions-of-conformal-predictive-distributions-1911.00941</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computationally-efficient-versions-of-conformal-predictive-distributions-1911.00941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computationally-efficient-versions-of-conformal-predictive-distributions-1911.00941"/></url>
<url><loc>https://scifaro.com/en/abs/attributed-sequence-embedding-1911.00949</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attributed-sequence-embedding-1911.00949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attributed-sequence-embedding-1911.00949"/></url>
<url><loc>https://scifaro.com/en/abs/problem-dependent-reinforcement-learning-bounds-which-can-identify-bandit-structure-in-mdps-1911.00954</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/problem-dependent-reinforcement-learning-bounds-which-can-identify-bandit-structure-in-mdps-1911.00954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/problem-dependent-reinforcement-learning-bounds-which-can-identify-bandit-structure-in-mdps-1911.00954"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-in-partially-labeled-stochastic-block-models-via-total-variation-minimization-1911.00958</loc><lastmod>2020-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-in-partially-labeled-stochastic-block-models-via-total-variation-minimization-1911.00958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-in-partially-labeled-stochastic-block-models-via-total-variation-minimization-1911.00958"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-for-free-communication-efficient-learning-with-differential-privacy-using-sketches-1911.00972</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-for-free-communication-efficient-learning-with-differential-privacy-using-sketches-1911.00972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-for-free-communication-efficient-learning-with-differential-privacy-using-sketches-1911.00972"/></url>
<url><loc>https://scifaro.com/en/abs/zeroth-order-non-convex-optimization-with-dueling-choice-bandits-1911.00980</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zeroth-order-non-convex-optimization-with-dueling-choice-bandits-1911.00980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zeroth-order-non-convex-optimization-with-dueling-choice-bandits-1911.00980"/></url>
<url><loc>https://scifaro.com/en/abs/novel-semi-metrics-for-multivariate-change-point-analysis-and-anomaly-detection-1911.00995</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novel-semi-metrics-for-multivariate-change-point-analysis-and-anomaly-detection-1911.00995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novel-semi-metrics-for-multivariate-change-point-analysis-and-anomaly-detection-1911.00995"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-futures-prediction-1911.00997</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-futures-prediction-1911.00997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-futures-prediction-1911.00997"/></url>
<url><loc>https://scifaro.com/en/abs/why-non-myopic-bayesian-optimization-is-promising-and-how-far-should-we-look-ahead-a-study-via-rollout-1911.01004</loc><lastmod>2022-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-non-myopic-bayesian-optimization-is-promising-and-how-far-should-we-look-ahead-a-study-via-rollout-1911.01004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-non-myopic-bayesian-optimization-is-promising-and-how-far-should-we-look-ahead-a-study-via-rollout-1911.01004"/></url>
<url><loc>https://scifaro.com/en/abs/xdeep-an-interpretation-tool-for-deep-neural-networks-1911.01005</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xdeep-an-interpretation-tool-for-deep-neural-networks-1911.01005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xdeep-an-interpretation-tool-for-deep-neural-networks-1911.01005"/></url>
<url><loc>https://scifaro.com/en/abs/visualization-of-multi-objective-switched-reluctance-machine-optimization-at-multiple-operating-conditions-with-t-sne-1911.01024</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualization-of-multi-objective-switched-reluctance-machine-optimization-at-multiple-operating-conditions-with-t-sne-1911.01024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualization-of-multi-objective-switched-reluctance-machine-optimization-at-multiple-operating-conditions-with-t-sne-1911.01024"/></url>
<url><loc>https://scifaro.com/en/abs/metric-learning-for-dynamic-text-classification-1911.01026</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-learning-for-dynamic-text-classification-1911.01026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-learning-for-dynamic-text-classification-1911.01026"/></url>
<url><loc>https://scifaro.com/en/abs/ternary-mobilenets-via-per-layer-hybrid-filter-banks-1911.01028</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ternary-mobilenets-via-per-layer-hybrid-filter-banks-1911.01028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ternary-mobilenets-via-per-layer-hybrid-filter-banks-1911.01028"/></url>
<url><loc>https://scifaro.com/en/abs/an-end-to-end-deep-rl-framework-for-task-arrangement-in-crowdsourcing-platforms-1911.01030</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-end-to-end-deep-rl-framework-for-task-arrangement-in-crowdsourcing-platforms-1911.01030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-end-to-end-deep-rl-framework-for-task-arrangement-in-crowdsourcing-platforms-1911.01030"/></url>
<url><loc>https://scifaro.com/en/abs/on-batch-bayesian-optimization-1911.01032</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-batch-bayesian-optimization-1911.01032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-batch-bayesian-optimization-1911.01032"/></url>
<url><loc>https://scifaro.com/en/abs/persistency-of-excitation-for-robustness-of-neural-networks-1911.01043</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/persistency-of-excitation-for-robustness-of-neural-networks-1911.01043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/persistency-of-excitation-for-robustness-of-neural-networks-1911.01043"/></url>
<url><loc>https://scifaro.com/en/abs/a-crowdsourcing-framework-for-on-device-federated-learning-1911.01046</loc><lastmod>2020-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-crowdsourcing-framework-for-on-device-federated-learning-1911.01046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-crowdsourcing-framework-for-on-device-federated-learning-1911.01046"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-the-predictions-of-any-image-classifier-via-decision-trees-1911.01058</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-the-predictions-of-any-image-classifier-via-decision-trees-1911.01058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-the-predictions-of-any-image-classifier-via-decision-trees-1911.01058"/></url>
<url><loc>https://scifaro.com/en/abs/blind-network-revenue-management-and-bandits-with-knapsacks-under-limited-switches-1911.01067</loc><lastmod>2025-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blind-network-revenue-management-and-bandits-with-knapsacks-under-limited-switches-1911.01067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blind-network-revenue-management-and-bandits-with-knapsacks-under-limited-switches-1911.01067"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-level-wise-pretraining-for-recurrent-neural-network-initialization-in-multi-class-classification-1911.01071</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-level-wise-pretraining-for-recurrent-neural-network-initialization-in-multi-class-classification-1911.01071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-level-wise-pretraining-for-recurrent-neural-network-initialization-in-multi-class-classification-1911.01071"/></url>
<url><loc>https://scifaro.com/en/abs/learning-based-methods-for-code-runtime-complexity-prediction-1911.01155</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-based-methods-for-code-runtime-complexity-prediction-1911.01155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-based-methods-for-code-runtime-complexity-prediction-1911.01155"/></url>
<url><loc>https://scifaro.com/en/abs/fast-uap-an-algorithm-for-speeding-up-universal-adversarial-perturbation-generation-with-orientation-of-perturbation-vectors-1911.01172</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-uap-an-algorithm-for-speeding-up-universal-adversarial-perturbation-generation-with-orientation-of-perturbation-vectors-1911.01172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-uap-an-algorithm-for-speeding-up-universal-adversarial-perturbation-generation-with-orientation-of-perturbation-vectors-1911.01172"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-fix-build-errors-with-graph2diff-neural-networks-1911.01205</loc><lastmod>2019-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-fix-build-errors-with-graph2diff-neural-networks-1911.01205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-fix-build-errors-with-graph2diff-neural-networks-1911.01205"/></url>
<url><loc>https://scifaro.com/en/abs/learning-based-estimation-of-dielectric-properties-and-tissue-density-in-head-models-for-personalized-radio-frequency-dosimetry-1911.01220</loc><lastmod>2020-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-based-estimation-of-dielectric-properties-and-tissue-density-in-head-models-for-personalized-radio-frequency-dosimetry-1911.01220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-based-estimation-of-dielectric-properties-and-tissue-density-in-head-models-for-personalized-radio-frequency-dosimetry-1911.01220"/></url>
<url><loc>https://scifaro.com/en/abs/sharp-an-adaptable-energy-efficient-accelerator-for-recurrent-neural-network-1911.01258</loc><lastmod>2023-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharp-an-adaptable-energy-efficient-accelerator-for-recurrent-neural-network-1911.01258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharp-an-adaptable-energy-efficient-accelerator-for-recurrent-neural-network-1911.01258"/></url>
<url><loc>https://scifaro.com/en/abs/ensembles-of-locally-independent-prediction-models-1911.01291</loc><lastmod>2020-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensembles-of-locally-independent-prediction-models-1911.01291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensembles-of-locally-independent-prediction-models-1911.01291"/></url>
<url><loc>https://scifaro.com/en/abs/sub-optimal-local-minima-exist-for-neural-networks-with-almost-all-non-linear-activations-1911.01413</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sub-optimal-local-minima-exist-for-neural-networks-with-almost-all-non-linear-activations-1911.01413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sub-optimal-local-minima-exist-for-neural-networks-with-almost-all-non-linear-activations-1911.01413"/></url>
<url><loc>https://scifaro.com/en/abs/time-accuracy-tradeoffs-for-learning-a-relu-with-respect-to-gaussian-marginals-1911.01462</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-accuracy-tradeoffs-for-learning-a-relu-with-respect-to-gaussian-marginals-1911.01462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-accuracy-tradeoffs-for-learning-a-relu-with-respect-to-gaussian-marginals-1911.01462"/></url>
<url><loc>https://scifaro.com/en/abs/auditing-and-achieving-intersectional-fairness-in-classification-problems-1911.01468</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auditing-and-achieving-intersectional-fairness-in-classification-problems-1911.01468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auditing-and-achieving-intersectional-fairness-in-classification-problems-1911.01468"/></url>
<url><loc>https://scifaro.com/en/abs/improving-supervised-phase-identification-through-the-theory-of-information-losses-1911.01484</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-supervised-phase-identification-through-the-theory-of-information-losses-1911.01484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-supervised-phase-identification-through-the-theory-of-information-losses-1911.01484"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-super-resolution-of-solar-magnetograms-generating-many-explanations-and-measuring-uncertainties-1911.01486</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-super-resolution-of-solar-magnetograms-generating-many-explanations-and-measuring-uncertainties-1911.01486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-super-resolution-of-solar-magnetograms-generating-many-explanations-and-measuring-uncertainties-1911.01486"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-racial-bias-in-health-using-the-medical-expenditure-panel-survey-data-1911.01509</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-racial-bias-in-health-using-the-medical-expenditure-panel-survey-data-1911.01509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-racial-bias-in-health-using-the-medical-expenditure-panel-survey-data-1911.01509"/></url>
<url><loc>https://scifaro.com/en/abs/closing-the-reality-gap-with-unsupervised-sim-to-real-image-translation-1911.01529</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/closing-the-reality-gap-with-unsupervised-sim-to-real-image-translation-1911.01529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/closing-the-reality-gap-with-unsupervised-sim-to-real-image-translation-1911.01529"/></url>
<url><loc>https://scifaro.com/en/abs/verification-and-parameter-synthesis-for-stochastic-systems-using-optimistic-optimization-1911.01537</loc><lastmod>2020-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/verification-and-parameter-synthesis-for-stochastic-systems-using-optimistic-optimization-1911.01537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/verification-and-parameter-synthesis-for-stochastic-systems-using-optimistic-optimization-1911.01537"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-generalization-with-tree-stack-memory-units-1911.01545</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-generalization-with-tree-stack-memory-units-1911.01545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-generalization-with-tree-stack-memory-units-1911.01545"/></url>
<url><loc>https://scifaro.com/en/abs/being-optimistic-to-be-conservative-quickly-learning-a-cvar-policy-1911.01546</loc><lastmod>2020-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/being-optimistic-to-be-conservative-quickly-learning-a-cvar-policy-1911.01546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/being-optimistic-to-be-conservative-quickly-learning-a-cvar-policy-1911.01546"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-graph-embedding-via-lstm-history-tracking-1911.01551</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-graph-embedding-via-lstm-history-tracking-1911.01551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-graph-embedding-via-lstm-history-tracking-1911.01551"/></url>
<url><loc>https://scifaro.com/en/abs/a-tale-of-evil-twins-adversarial-inputs-versus-poisoned-models-1911.01559</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tale-of-evil-twins-adversarial-inputs-versus-poisoned-models-1911.01559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tale-of-evil-twins-adversarial-inputs-versus-poisoned-models-1911.01559"/></url>
<url><loc>https://scifaro.com/en/abs/deepracer-educational-autonomous-racing-platform-for-experimentation-with-sim2real-reinforcement-learning-1911.01562</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepracer-educational-autonomous-racing-platform-for-experimentation-with-sim2real-reinforcement-learning-1911.01562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepracer-educational-autonomous-racing-platform-for-experimentation-with-sim2real-reinforcement-learning-1911.01562"/></url>
<url><loc>https://scifaro.com/en/abs/aren-assured-relu-nn-architecture-for-model-predictive-control-of-lti-systems-1911.01608</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aren-assured-relu-nn-architecture-for-model-predictive-control-of-lti-systems-1911.01608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aren-assured-relu-nn-architecture-for-model-predictive-control-of-lti-systems-1911.01608"/></url>
<url><loc>https://scifaro.com/en/abs/new-potential-based-bounds-for-prediction-with-expert-advice-1911.01641</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-potential-based-bounds-for-prediction-with-expert-advice-1911.01641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-potential-based-bounds-for-prediction-with-expert-advice-1911.01641"/></url>
<url><loc>https://scifaro.com/en/abs/study-of-constrained-network-structures-for-wgans-on-numeric-data-generation-1911.01649</loc><lastmod>2020-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/study-of-constrained-network-structures-for-wgans-on-numeric-data-generation-1911.01649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/study-of-constrained-network-structures-for-wgans-on-numeric-data-generation-1911.01649"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-point-outliers-using-prune-based-outlier-factor-plof-1911.01654</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-point-outliers-using-prune-based-outlier-factor-plof-1911.01654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-point-outliers-using-prune-based-outlier-factor-plof-1911.01654"/></url>
<url><loc>https://scifaro.com/en/abs/joint-ranking-svm-and-binary-relevance-with-robust-low-rank-learning-for-multi-label-classification-1911.01658</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-ranking-svm-and-binary-relevance-with-robust-low-rank-learning-for-multi-label-classification-1911.01658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-ranking-svm-and-binary-relevance-with-robust-low-rank-learning-for-multi-label-classification-1911.01658"/></url>
<url><loc>https://scifaro.com/en/abs/apprenticeship-learning-via-frank-wolfe-1911.01679</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/apprenticeship-learning-via-frank-wolfe-1911.01679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/apprenticeship-learning-via-frank-wolfe-1911.01679"/></url>
<url><loc>https://scifaro.com/en/abs/bounds-for-the-number-of-tests-in-non-adaptive-randomized-algorithms-for-group-testing-1911.01694</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounds-for-the-number-of-tests-in-non-adaptive-randomized-algorithms-for-group-testing-1911.01694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounds-for-the-number-of-tests-in-non-adaptive-randomized-algorithms-for-group-testing-1911.01694"/></url>
<url><loc>https://scifaro.com/en/abs/towards-optimal-and-efficient-best-arm-identification-in-linear-bandits-1911.01695</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-optimal-and-efficient-best-arm-identification-in-linear-bandits-1911.01695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-optimal-and-efficient-best-arm-identification-in-linear-bandits-1911.01695"/></url>
<url><loc>https://scifaro.com/en/abs/docparser-hierarchical-structure-parsing-of-document-renderings-1911.01702</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/docparser-hierarchical-structure-parsing-of-document-renderings-1911.01702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/docparser-hierarchical-structure-parsing-of-document-renderings-1911.01702"/></url>
<url><loc>https://scifaro.com/en/abs/a-gmm-based-algorithm-to-generate-point-cloud-and-its-application-to-neuroimaging-1911.01705</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gmm-based-algorithm-to-generate-point-cloud-and-its-application-to-neuroimaging-1911.01705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gmm-based-algorithm-to-generate-point-cloud-and-its-application-to-neuroimaging-1911.01705"/></url>
<url><loc>https://scifaro.com/en/abs/graphair-graph-representation-learning-with-neighborhood-aggregation-and-interaction-1911.01731</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphair-graph-representation-learning-with-neighborhood-aggregation-and-interaction-1911.01731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphair-graph-representation-learning-with-neighborhood-aggregation-and-interaction-1911.01731"/></url>
<url><loc>https://scifaro.com/en/abs/one-network-to-segment-them-all-a-general-lightweight-system-for-accurate-3d-medical-image-segmentation-1911.01764</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-network-to-segment-them-all-a-general-lightweight-system-for-accurate-3d-medical-image-segmentation-1911.01764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-network-to-segment-them-all-a-general-lightweight-system-for-accurate-3d-medical-image-segmentation-1911.01764"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-the-privacy-of-federated-learning-with-sketching-1911.01812</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-the-privacy-of-federated-learning-with-sketching-1911.01812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-the-privacy-of-federated-learning-with-sketching-1911.01812"/></url>
<url><loc>https://scifaro.com/en/abs/quinoa-a-q-function-you-infer-normalized-over-actions-1911.01831</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quinoa-a-q-function-you-infer-normalized-over-actions-1911.01831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quinoa-a-q-function-you-infer-normalized-over-actions-1911.01831"/></url>
<url><loc>https://scifaro.com/en/abs/biconditional-generative-adversarial-networks-for-multiview-learning-with-missing-views-1911.01861</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biconditional-generative-adversarial-networks-for-multiview-learning-with-missing-views-1911.01861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biconditional-generative-adversarial-networks-for-multiview-learning-with-missing-views-1911.01861"/></url>
<url><loc>https://scifaro.com/en/abs/a-model-for-spatial-outlier-detection-based-on-weighted-neighborhood-relationship-1911.01867</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-model-for-spatial-outlier-detection-based-on-weighted-neighborhood-relationship-1911.01867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-model-for-spatial-outlier-detection-based-on-weighted-neighborhood-relationship-1911.01867"/></url>
<url><loc>https://scifaro.com/en/abs/on-online-learning-in-kernelized-markov-decision-processes-1911.01871</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-online-learning-in-kernelized-markov-decision-processes-1911.01871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-online-learning-in-kernelized-markov-decision-processes-1911.01871"/></url>
<url><loc>https://scifaro.com/en/abs/a-rule-for-gradient-estimator-selection-with-an-application-to-variational-inference-1911.01894</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-rule-for-gradient-estimator-selection-with-an-application-to-variational-inference-1911.01894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-rule-for-gradient-estimator-selection-with-an-application-to-variational-inference-1911.01894"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-analysis-of-xgboost-1911.01914</loc><lastmod>2023-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-analysis-of-xgboost-1911.01914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-analysis-of-xgboost-1911.01914"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-variational-gaussian-processes-for-crowdsourcing-glitch-detection-in-ligo-1911.01915</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-variational-gaussian-processes-for-crowdsourcing-glitch-detection-in-ligo-1911.01915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-variational-gaussian-processes-for-crowdsourcing-glitch-detection-in-ligo-1911.01915"/></url>
<url><loc>https://scifaro.com/en/abs/practical-compositional-fairness-understanding-fairness-in-multi-component-recommender-systems-1911.01916</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-compositional-fairness-understanding-fairness-in-multi-component-recommender-systems-1911.01916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-compositional-fairness-understanding-fairness-in-multi-component-recommender-systems-1911.01916"/></url>
<url><loc>https://scifaro.com/en/abs/online-matrix-factorization-for-markovian-data-and-applications-to-network-dictionary-learning-1911.01931</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-matrix-factorization-for-markovian-data-and-applications-to-network-dictionary-learning-1911.01931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-matrix-factorization-for-markovian-data-and-applications-to-network-dictionary-learning-1911.01931"/></url>
<url><loc>https://scifaro.com/en/abs/training-neural-machine-translation-nmt-models-using-tensor-train-decomposition-on-tensorflow-t3f-1911.01933</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-neural-machine-translation-nmt-models-using-tensor-train-decomposition-on-tensorflow-t3f-1911.01933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-neural-machine-translation-nmt-models-using-tensor-train-decomposition-on-tensorflow-t3f-1911.01933"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-time-warp-convolutional-networks-1911.01944</loc><lastmod>2019-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-time-warp-convolutional-networks-1911.01944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-time-warp-convolutional-networks-1911.01944"/></url>
<url><loc>https://scifaro.com/en/abs/coverage-guided-testing-for-recurrent-neural-networks-1911.01952</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coverage-guided-testing-for-recurrent-neural-networks-1911.01952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coverage-guided-testing-for-recurrent-neural-networks-1911.01952"/></url>
<url><loc>https://scifaro.com/en/abs/grace-generating-concise-and-informative-contrastive-sample-to-explain-neural-network-model-s-prediction-1911.02042</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grace-generating-concise-and-informative-contrastive-sample-to-explain-neural-network-model-s-prediction-1911.02042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grace-generating-concise-and-informative-contrastive-sample-to-explain-neural-network-model-s-prediction-1911.02042"/></url>
<url><loc>https://scifaro.com/en/abs/guided-layer-wise-learning-for-deep-models-using-side-information-1911.02048</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guided-layer-wise-learning-for-deep-models-using-side-information-1911.02048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guided-layer-wise-learning-for-deep-models-using-side-information-1911.02048"/></url>
<url><loc>https://scifaro.com/en/abs/a-method-to-model-conditional-distributions-with-normalizing-flows-1911.02052</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-method-to-model-conditional-distributions-with-normalizing-flows-1911.02052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-method-to-model-conditional-distributions-with-normalizing-flows-1911.02052"/></url>
<url><loc>https://scifaro.com/en/abs/alleviating-label-switching-with-optimal-transport-1911.02053</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alleviating-label-switching-with-optimal-transport-1911.02053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alleviating-label-switching-with-optimal-transport-1911.02053"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-mixtures-of-generators-for-adversarial-learning-1911.02069</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-mixtures-of-generators-for-adversarial-learning-1911.02069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-mixtures-of-generators-for-adversarial-learning-1911.02069"/></url>
<url><loc>https://scifaro.com/en/abs/computational-separations-between-sampling-and-optimization-1911.02074</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-separations-between-sampling-and-optimization-1911.02074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-separations-between-sampling-and-optimization-1911.02074"/></url>
<url><loc>https://scifaro.com/en/abs/post-training-4-bit-quantization-on-embedding-tables-1911.02079</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-training-4-bit-quantization-on-embedding-tables-1911.02079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-training-4-bit-quantization-on-embedding-tables-1911.02079"/></url>
<url><loc>https://scifaro.com/en/abs/a-scalable-multilabel-classification-to-deploy-deep-learning-architectures-for-edge-devices-1911.02098</loc><lastmod>2021-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scalable-multilabel-classification-to-deploy-deep-learning-architectures-for-edge-devices-1911.02098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scalable-multilabel-classification-to-deploy-deep-learning-architectures-for-edge-devices-1911.02098"/></url>
<url><loc>https://scifaro.com/en/abs/deep-least-squares-methods-an-unsupervised-learning-based-numerical-method-for-solving-elliptic-pdes-1911.02109</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-least-squares-methods-an-unsupervised-learning-based-numerical-method-for-solving-elliptic-pdes-1911.02109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-least-squares-methods-an-unsupervised-learning-based-numerical-method-for-solving-elliptic-pdes-1911.02109"/></url>
<url><loc>https://scifaro.com/en/abs/fully-parameterized-quantile-function-for-distributional-reinforcement-learning-1911.02140</loc><lastmod>2020-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-parameterized-quantile-function-for-distributional-reinforcement-learning-1911.02140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-parameterized-quantile-function-for-distributional-reinforcement-learning-1911.02140"/></url>
<url><loc>https://scifaro.com/en/abs/spatially-regularized-active-diffusion-learning-for-high-dimensional-images-1911.02155</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatially-regularized-active-diffusion-learning-for-high-dimensional-images-1911.02155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatially-regularized-active-diffusion-learning-for-high-dimensional-images-1911.02155"/></url>
<url><loc>https://scifaro.com/en/abs/safe-linear-thompson-sampling-with-side-information-1911.02156</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-linear-thompson-sampling-with-side-information-1911.02156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-linear-thompson-sampling-with-side-information-1911.02156"/></url>
<url><loc>https://scifaro.com/en/abs/exact-partitioning-of-high-order-models-with-a-novel-convex-tensor-cone-relaxation-1911.02161</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-partitioning-of-high-order-models-with-a-novel-convex-tensor-cone-relaxation-1911.02161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-partitioning-of-high-order-models-with-a-novel-convex-tensor-cone-relaxation-1911.02161"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-reward-decomposition-for-reinforcement-learning-1911.02166</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-reward-decomposition-for-reinforcement-learning-1911.02166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-reward-decomposition-for-reinforcement-learning-1911.02166"/></url>
<url><loc>https://scifaro.com/en/abs/experience-sharing-between-cooperative-reinforcement-learning-agents-1911.02191</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/experience-sharing-between-cooperative-reinforcement-learning-agents-1911.02191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/experience-sharing-between-cooperative-reinforcement-learning-agents-1911.02191"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-using-the-variational-predictive-information-bottleneck-with-a-validation-set-1911.02210</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-using-the-variational-predictive-information-bottleneck-with-a-validation-set-1911.02210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-using-the-variational-predictive-information-bottleneck-with-a-validation-set-1911.02210"/></url>
<url><loc>https://scifaro.com/en/abs/the-gradient-complexity-of-linear-regression-1911.02212</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-gradient-complexity-of-linear-regression-1911.02212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-gradient-complexity-of-linear-regression-1911.02212"/></url>
<url><loc>https://scifaro.com/en/abs/secure-federated-submodel-learning-1911.02254</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secure-federated-submodel-learning-1911.02254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secure-federated-submodel-learning-1911.02254"/></url>
<url><loc>https://scifaro.com/en/abs/a-divergence-minimization-perspective-on-imitation-learning-methods-1911.02256</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-divergence-minimization-perspective-on-imitation-learning-methods-1911.02256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-divergence-minimization-perspective-on-imitation-learning-methods-1911.02256"/></url>
<url><loc>https://scifaro.com/en/abs/improving-reinforcement-learning-algorithms-towards-optimal-learning-rate-policies-1911.02319</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-reinforcement-learning-algorithms-towards-optimal-learning-rate-policies-1911.02319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-reinforcement-learning-algorithms-towards-optimal-learning-rate-policies-1911.02319"/></url>
<url><loc>https://scifaro.com/en/abs/searching-to-exploit-memorization-effect-in-learning-from-corrupted-labels-1911.02377</loc><lastmod>2020-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/searching-to-exploit-memorization-effect-in-learning-from-corrupted-labels-1911.02377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/searching-to-exploit-memorization-effect-in-learning-from-corrupted-labels-1911.02377"/></url>
<url><loc>https://scifaro.com/en/abs/unfairness-towards-subjective-opinions-in-machine-learning-1911.02455</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unfairness-towards-subjective-opinions-in-machine-learning-1911.02455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unfairness-towards-subjective-opinions-in-machine-learning-1911.02455"/></url>
<url><loc>https://scifaro.com/en/abs/don-t-blame-the-elbo-a-linear-vae-perspective-on-posterior-collapse-1911.02469</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/don-t-blame-the-elbo-a-linear-vae-perspective-on-posterior-collapse-1911.02469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/don-t-blame-the-elbo-a-linear-vae-perspective-on-posterior-collapse-1911.02469"/></url>
<url><loc>https://scifaro.com/en/abs/designing-evaluations-of-machine-learning-models-for-subjective-inference-the-case-of-sentence-toxicity-1911.02471</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-evaluations-of-machine-learning-models-for-subjective-inference-the-case-of-sentence-toxicity-1911.02471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-evaluations-of-machine-learning-models-for-subjective-inference-the-case-of-sentence-toxicity-1911.02471"/></url>
<url><loc>https://scifaro.com/en/abs/openml-python-an-extensible-python-api-for-openml-1911.02490</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/openml-python-an-extensible-python-api-for-openml-1911.02490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/openml-python-an-extensible-python-api-for-openml-1911.02490"/></url>
<url><loc>https://scifaro.com/en/abs/e-t-rnn-applying-deep-learning-to-credit-loan-applications-1911.02496</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/e-t-rnn-applying-deep-learning-to-credit-loan-applications-1911.02496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/e-t-rnn-applying-deep-learning-to-credit-loan-applications-1911.02496"/></url>
<url><loc>https://scifaro.com/en/abs/a-programmable-approach-to-neural-network-compression-1911.02497</loc><lastmod>2020-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-programmable-approach-to-neural-network-compression-1911.02497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-programmable-approach-to-neural-network-compression-1911.02497"/></url>
<url><loc>https://scifaro.com/en/abs/fooling-lime-and-shap-adversarial-attacks-on-post-hoc-explanation-methods-1911.02508</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fooling-lime-and-shap-adversarial-attacks-on-post-hoc-explanation-methods-1911.02508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fooling-lime-and-shap-adversarial-attacks-on-post-hoc-explanation-methods-1911.02508"/></url>
<url><loc>https://scifaro.com/en/abs/dc-s3gd-delay-compensated-stale-synchronous-sgd-for-large-scale-decentralized-neural-network-training-1911.02516</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dc-s3gd-delay-compensated-stale-synchronous-sgd-for-large-scale-decentralized-neural-network-training-1911.02516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dc-s3gd-delay-compensated-stale-synchronous-sgd-for-large-scale-decentralized-neural-network-training-1911.02516"/></url>
<url><loc>https://scifaro.com/en/abs/auptimizer-an-extensible-open-source-framework-for-hyperparameter-tuning-1911.02522</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auptimizer-an-extensible-open-source-framework-for-hyperparameter-tuning-1911.02522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auptimizer-an-extensible-open-source-framework-for-hyperparameter-tuning-1911.02522"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-hierarchy-matching-with-optimal-transport-over-hyperbolic-spaces-1911.02536</loc><lastmod>2020-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-hierarchy-matching-with-optimal-transport-over-hyperbolic-spaces-1911.02536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-hierarchy-matching-with-optimal-transport-over-hyperbolic-spaces-1911.02536"/></url>
<url><loc>https://scifaro.com/en/abs/mlperf-inference-benchmark-1911.02549</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mlperf-inference-benchmark-1911.02549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mlperf-inference-benchmark-1911.02549"/></url>
<url><loc>https://scifaro.com/en/abs/feedback-based-self-learning-in-large-scale-conversational-ai-agents-1911.02557</loc><lastmod>2019-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feedback-based-self-learning-in-large-scale-conversational-ai-agents-1911.02557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feedback-based-self-learning-in-large-scale-conversational-ai-agents-1911.02557"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-millions-of-hyperparameters-by-implicit-differentiation-1911.02590</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-millions-of-hyperparameters-by-implicit-differentiation-1911.02590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-millions-of-hyperparameters-by-implicit-differentiation-1911.02590"/></url>
<url><loc>https://scifaro.com/en/abs/hyper-sagnn-a-self-attention-based-graph-neural-network-for-hypergraphs-1911.02613</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyper-sagnn-a-self-attention-based-graph-neural-network-for-hypergraphs-1911.02613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyper-sagnn-a-self-attention-based-graph-neural-network-for-hypergraphs-1911.02613"/></url>
<url><loc>https://scifaro.com/en/abs/coverage-based-outlier-explanation-1911.02617</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coverage-based-outlier-explanation-1911.02617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coverage-based-outlier-explanation-1911.02617"/></url>
<url><loc>https://scifaro.com/en/abs/map-enhanced-route-travel-time-prediction-using-deep-neural-networks-1911.02623</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/map-enhanced-route-travel-time-prediction-using-deep-neural-networks-1911.02623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/map-enhanced-route-travel-time-prediction-using-deep-neural-networks-1911.02623"/></url>
<url><loc>https://scifaro.com/en/abs/data-generation-for-neural-programming-by-example-1911.02624</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-generation-for-neural-programming-by-example-1911.02624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-generation-for-neural-programming-by-example-1911.02624"/></url>
<url><loc>https://scifaro.com/en/abs/towards-the-use-of-neural-networks-for-influenza-prediction-at-multiple-spatial-resolutions-1911.02673</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-the-use-of-neural-networks-for-influenza-prediction-at-multiple-spatial-resolutions-1911.02673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-the-use-of-neural-networks-for-influenza-prediction-at-multiple-spatial-resolutions-1911.02673"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-transformation-based-gradient-1911.02681</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-transformation-based-gradient-1911.02681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-transformation-based-gradient-1911.02681"/></url>
<url><loc>https://scifaro.com/en/abs/physics-guided-architecture-pga-of-neural-networks-for-quantifying-uncertainty-in-lake-temperature-modeling-1911.02682</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-guided-architecture-pga-of-neural-networks-for-quantifying-uncertainty-in-lake-temperature-modeling-1911.02682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-guided-architecture-pga-of-neural-networks-for-quantifying-uncertainty-in-lake-temperature-modeling-1911.02682"/></url>
<url><loc>https://scifaro.com/en/abs/a-comprehensive-survey-on-transfer-learning-1911.02685</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comprehensive-survey-on-transfer-learning-1911.02685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comprehensive-survey-on-transfer-learning-1911.02685"/></url>
<url><loc>https://scifaro.com/en/abs/modularity-in-query-based-concept-learning-1911.02714</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modularity-in-query-based-concept-learning-1911.02714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modularity-in-query-based-concept-learning-1911.02714"/></url>
<url><loc>https://scifaro.com/en/abs/option-compatible-reward-inverse-reinforcement-learning-1911.02723</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/option-compatible-reward-inverse-reinforcement-learning-1911.02723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/option-compatible-reward-inverse-reinforcement-learning-1911.02723"/></url>
<url><loc>https://scifaro.com/en/abs/accounting-for-physics-uncertainty-in-ultrasonic-wave-propagation-using-deep-learning-1911.02743</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accounting-for-physics-uncertainty-in-ultrasonic-wave-propagation-using-deep-learning-1911.02743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accounting-for-physics-uncertainty-in-ultrasonic-wave-propagation-using-deep-learning-1911.02743"/></url>
<url><loc>https://scifaro.com/en/abs/sequence-aware-factorization-machines-for-temporal-predictive-analytics-1911.02752</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequence-aware-factorization-machines-for-temporal-predictive-analytics-1911.02752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequence-aware-factorization-machines-for-temporal-predictive-analytics-1911.02752"/></url>
<url><loc>https://scifaro.com/en/abs/active-multi-label-crowd-consensus-1911.02789</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-multi-label-crowd-consensus-1911.02789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-multi-label-crowd-consensus-1911.02789"/></url>
<url><loc>https://scifaro.com/en/abs/h-infty-model-free-reinforcement-learning-with-robust-stability-guarantee-1911.02875</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/h-infty-model-free-reinforcement-learning-with-robust-stability-guarantee-1911.02875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/h-infty-model-free-reinforcement-learning-with-robust-stability-guarantee-1911.02875"/></url>
<url><loc>https://scifaro.com/en/abs/graph-domain-adaptation-with-localized-graph-signal-representations-1911.02883</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-domain-adaptation-with-localized-graph-signal-representations-1911.02883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-domain-adaptation-with-localized-graph-signal-representations-1911.02883"/></url>
<url><loc>https://scifaro.com/en/abs/how-implicit-regularization-of-relu-neural-networks-characterizes-the-learned-function-part-i-the-1-d-case-of-two-layers-with-random-first-layer-1911.02903</loc><lastmod>2023-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-implicit-regularization-of-relu-neural-networks-characterizes-the-learned-function-part-i-the-1-d-case-of-two-layers-with-random-first-layer-1911.02903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-implicit-regularization-of-relu-neural-networks-characterizes-the-learned-function-part-i-the-1-d-case-of-two-layers-with-random-first-layer-1911.02903"/></url>
<url><loc>https://scifaro.com/en/abs/graph-convolutional-networks-meet-with-high-dimensionality-reduction-1911.02928</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-convolutional-networks-meet-with-high-dimensionality-reduction-1911.02928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-convolutional-networks-meet-with-high-dimensionality-reduction-1911.02928"/></url>
<url><loc>https://scifaro.com/en/abs/change-your-singer-a-transfer-learning-generative-adversarial-framework-for-song-to-song-conversion-1911.02933</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/change-your-singer-a-transfer-learning-generative-adversarial-framework-for-song-to-song-conversion-1911.02933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/change-your-singer-a-transfer-learning-generative-adversarial-framework-for-song-to-song-conversion-1911.02933"/></url>
<url><loc>https://scifaro.com/en/abs/improved-visual-localization-via-graph-smoothing-1911.02961</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-visual-localization-via-graph-smoothing-1911.02961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-visual-localization-via-graph-smoothing-1911.02961"/></url>
<url><loc>https://scifaro.com/en/abs/an-automated-approach-for-task-evaluation-using-eeg-signals-1911.02966</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-automated-approach-for-task-evaluation-using-eeg-signals-1911.02966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-automated-approach-for-task-evaluation-using-eeg-signals-1911.02966"/></url>
<url><loc>https://scifaro.com/en/abs/sense-semantically-enhanced-node-sequence-embedding-1911.02970</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sense-semantically-enhanced-node-sequence-embedding-1911.02970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sense-semantically-enhanced-node-sequence-embedding-1911.02970"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-adaptive-submodularity-adaptive-influence-maximization-with-intermediary-constraints-1911.02986</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-adaptive-submodularity-adaptive-influence-maximization-with-intermediary-constraints-1911.02986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-adaptive-submodularity-adaptive-influence-maximization-with-intermediary-constraints-1911.02986"/></url>
<url><loc>https://scifaro.com/en/abs/collapse-resistant-deep-convolutional-gan-for-multi-object-image-generation-1911.02996</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collapse-resistant-deep-convolutional-gan-for-multi-object-image-generation-1911.02996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collapse-resistant-deep-convolutional-gan-for-multi-object-image-generation-1911.02996"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-deep-networks-in-intelligent-transportation-systems-a-taxonomy-and-a-case-study-1911.03010</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-deep-networks-in-intelligent-transportation-systems-a-taxonomy-and-a-case-study-1911.03010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-deep-networks-in-intelligent-transportation-systems-a-taxonomy-and-a-case-study-1911.03010"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-kernel-value-caching-for-svm-training-1911.03011</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-kernel-value-caching-for-svm-training-1911.03011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-kernel-value-caching-for-svm-training-1911.03011"/></url>
<url><loc>https://scifaro.com/en/abs/certified-data-removal-from-machine-learning-models-1911.03030</loc><lastmod>2023-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certified-data-removal-from-machine-learning-models-1911.03030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certified-data-removal-from-machine-learning-models-1911.03030"/></url>
<url><loc>https://scifaro.com/en/abs/interaction-hard-thresholding-consistent-sparse-quadratic-regression-in-sub-quadratic-time-and-space-1911.03034</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interaction-hard-thresholding-consistent-sparse-quadratic-regression-in-sub-quadratic-time-and-space-1911.03034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interaction-hard-thresholding-consistent-sparse-quadratic-regression-in-sub-quadratic-time-and-space-1911.03034"/></url>
<url><loc>https://scifaro.com/en/abs/electric-analog-circuit-design-with-hypernetworks-and-a-differential-simulator-1911.03053</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/electric-analog-circuit-design-with-hypernetworks-and-a-differential-simulator-1911.03053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/electric-analog-circuit-design-with-hypernetworks-and-a-differential-simulator-1911.03053"/></url>
<url><loc>https://scifaro.com/en/abs/an-experimental-comparison-of-old-and-new-decision-tree-algorithms-1911.03054</loc><lastmod>2020-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-experimental-comparison-of-old-and-new-decision-tree-algorithms-1911.03054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-experimental-comparison-of-old-and-new-decision-tree-algorithms-1911.03054"/></url>
<url><loc>https://scifaro.com/en/abs/deep-geometric-knowledge-distillation-with-graphs-1911.03080</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-geometric-knowledge-distillation-with-graphs-1911.03080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-geometric-knowledge-distillation-with-graphs-1911.03080"/></url>
<url><loc>https://scifaro.com/en/abs/composition-based-multi-relational-graph-convolutional-networks-1911.03082</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composition-based-multi-relational-graph-convolutional-networks-1911.03082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composition-based-multi-relational-graph-convolutional-networks-1911.03082"/></url>
<url><loc>https://scifaro.com/en/abs/unified-sample-optimal-property-estimation-in-near-linear-time-1911.03105</loc><lastmod>2020-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-sample-optimal-property-estimation-in-near-linear-time-1911.03105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-sample-optimal-property-estimation-in-near-linear-time-1911.03105"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-generalized-linear-models-using-distributed-block-coordinate-descent-1911.03183</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-generalized-linear-models-using-distributed-block-coordinate-descent-1911.03183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-generalized-linear-models-using-distributed-block-coordinate-descent-1911.03183"/></url>
<url><loc>https://scifaro.com/en/abs/language-grounding-through-social-interactions-and-curiosity-driven-multi-goal-learning-1911.03219</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/language-grounding-through-social-interactions-and-curiosity-driven-multi-goal-learning-1911.03219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/language-grounding-through-social-interactions-and-curiosity-driven-multi-goal-learning-1911.03219"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-general-model-of-knowledge-for-facial-analysis-by-multi-source-transfer-learning-1911.03222</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-general-model-of-knowledge-for-facial-analysis-by-multi-source-transfer-learning-1911.03222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-general-model-of-knowledge-for-facial-analysis-by-multi-source-transfer-learning-1911.03222"/></url>
<url><loc>https://scifaro.com/en/abs/advances-in-machine-learning-for-the-behavioral-sciences-1911.03249</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advances-in-machine-learning-for-the-behavioral-sciences-1911.03249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advances-in-machine-learning-for-the-behavioral-sciences-1911.03249"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-invariances-in-healthcare-neural-networks-1911.03295</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-invariances-in-healthcare-neural-networks-1911.03295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-invariances-in-healthcare-neural-networks-1911.03295"/></url>
<url><loc>https://scifaro.com/en/abs/autoids-auto-encoder-based-method-for-intrusion-detection-system-1911.03306</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoids-auto-encoder-based-method-for-intrusion-detection-system-1911.03306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoids-auto-encoder-based-method-for-intrusion-detection-system-1911.03306"/></url>
<url><loc>https://scifaro.com/en/abs/fully-bayesian-recurrent-neural-networks-for-safe-reinforcement-learning-1911.03308</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-bayesian-recurrent-neural-networks-for-safe-reinforcement-learning-1911.03308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-bayesian-recurrent-neural-networks-for-safe-reinforcement-learning-1911.03308"/></url>
<url><loc>https://scifaro.com/en/abs/fann-on-mcu-an-open-source-toolkit-for-energy-efficient-neural-network-inference-at-the-edge-of-the-internet-of-things-1911.03314</loc><lastmod>2022-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fann-on-mcu-an-open-source-toolkit-for-energy-efficient-neural-network-inference-at-the-edge-of-the-internet-of-things-1911.03314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fann-on-mcu-an-open-source-toolkit-for-energy-efficient-neural-network-inference-at-the-edge-of-the-internet-of-things-1911.03314"/></url>
<url><loc>https://scifaro.com/en/abs/macro-f1-and-macro-f1-1911.03347</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/macro-f1-and-macro-f1-1911.03347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/macro-f1-and-macro-f1-1911.03347"/></url>
<url><loc>https://scifaro.com/en/abs/inference-with-deep-generative-priors-in-high-dimensions-1911.03409</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-with-deep-generative-priors-in-high-dimensions-1911.03409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-with-deep-generative-priors-in-high-dimensions-1911.03409"/></url>
<url><loc>https://scifaro.com/en/abs/penalty-method-for-inversion-free-deep-bilevel-optimization-1911.03432</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/penalty-method-for-inversion-free-deep-bilevel-optimization-1911.03432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/penalty-method-for-inversion-free-deep-bilevel-optimization-1911.03432"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-multi-step-demand-prediction-for-ride-hailing-services-using-convolutional-neural-network-1911.03441</loc><lastmod>2019-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-multi-step-demand-prediction-for-ride-hailing-services-using-convolutional-neural-network-1911.03441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-multi-step-demand-prediction-for-ride-hailing-services-using-convolutional-neural-network-1911.03441"/></url>
<url><loc>https://scifaro.com/en/abs/ruminating-word-representations-with-random-noised-masker-1911.03459</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ruminating-word-representations-with-random-noised-masker-1911.03459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ruminating-word-representations-with-random-noised-masker-1911.03459"/></url>
<url><loc>https://scifaro.com/en/abs/self-assignment-flows-for-unsupervised-data-labeling-on-graphs-1911.03472</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-assignment-flows-for-unsupervised-data-labeling-on-graphs-1911.03472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-assignment-flows-for-unsupervised-data-labeling-on-graphs-1911.03472"/></url>
<url><loc>https://scifaro.com/en/abs/incentive-aware-contextual-pricing-with-non-parametric-market-noise-1911.03508</loc><lastmod>2023-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incentive-aware-contextual-pricing-with-non-parametric-market-noise-1911.03508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incentive-aware-contextual-pricing-with-non-parametric-market-noise-1911.03508"/></url>
<url><loc>https://scifaro.com/en/abs/deep-sequential-models-for-suicidal-ideation-from-multiple-source-data-1911.03522</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-sequential-models-for-suicidal-ideation-from-multiple-source-data-1911.03522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-sequential-models-for-suicidal-ideation-from-multiple-source-data-1911.03522"/></url>
<url><loc>https://scifaro.com/en/abs/dzip-improved-general-purpose-lossless-compression-based-on-novel-neural-network-modeling-1911.03572</loc><lastmod>2020-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dzip-improved-general-purpose-lossless-compression-based-on-novel-neural-network-modeling-1911.03572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dzip-improved-general-purpose-lossless-compression-based-on-novel-neural-network-modeling-1911.03572"/></url>
<url><loc>https://scifaro.com/en/abs/community-preserving-graph-convolutions-for-structural-and-functional-joint-embedding-of-brain-networks-1911.03583</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/community-preserving-graph-convolutions-for-structural-and-functional-joint-embedding-of-brain-networks-1911.03583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/community-preserving-graph-convolutions-for-structural-and-functional-joint-embedding-of-brain-networks-1911.03583"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-relationship-between-self-attention-and-convolutional-layers-1911.03584</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-relationship-between-self-attention-and-convolutional-layers-1911.03584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-relationship-between-self-attention-and-convolutional-layers-1911.03584"/></url>
<url><loc>https://scifaro.com/en/abs/robo-planet-learning-to-poke-in-a-day-1911.03594</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robo-planet-learning-to-poke-in-a-day-1911.03594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robo-planet-learning-to-poke-in-a-day-1911.03594"/></url>
<url><loc>https://scifaro.com/en/abs/worst-cases-policy-gradients-1911.03618</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/worst-cases-policy-gradients-1911.03618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/worst-cases-policy-gradients-1911.03618"/></url>
<url><loc>https://scifaro.com/en/abs/adaptivity-in-adaptive-submodularity-1911.03620</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptivity-in-adaptive-submodularity-1911.03620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptivity-in-adaptive-submodularity-1911.03620"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-gender-bias-in-relation-extraction-1911.03642</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-gender-bias-in-relation-extraction-1911.03642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-gender-bias-in-relation-extraction-1911.03642"/></url>
<url><loc>https://scifaro.com/en/abs/pairwise-coupling-of-convolutional-neural-networks-for-better-explicability-of-classification-systems-1911.03645</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pairwise-coupling-of-convolutional-neural-networks-for-better-explicability-of-classification-systems-1911.03645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pairwise-coupling-of-convolutional-neural-networks-for-better-explicability-of-classification-systems-1911.03645"/></url>
<url><loc>https://scifaro.com/en/abs/l-fgadmm-layer-wise-federated-group-admm-for-communication-efficient-decentralized-deep-learning-1911.03654</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l-fgadmm-layer-wise-federated-group-admm-for-communication-efficient-decentralized-deep-learning-1911.03654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l-fgadmm-layer-wise-federated-group-admm-for-communication-efficient-decentralized-deep-learning-1911.03654"/></url>
<url><loc>https://scifaro.com/en/abs/datasist-a-python-based-library-for-easy-data-analysis-visualization-and-modeling-1911.03655</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/datasist-a-python-based-library-for-easy-data-analysis-visualization-and-modeling-1911.03655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/datasist-a-python-based-library-for-easy-data-analysis-visualization-and-modeling-1911.03655"/></url>
<url><loc>https://scifaro.com/en/abs/missing-features-reconstruction-and-its-impact-on-classification-accuracy-1911.03658</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/missing-features-reconstruction-and-its-impact-on-classification-accuracy-1911.03658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/missing-features-reconstruction-and-its-impact-on-classification-accuracy-1911.03658"/></url>
<url><loc>https://scifaro.com/en/abs/factored-latent-dynamic-conditional-random-fields-for-single-and-multi-label-sequence-modeling-1911.03667</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factored-latent-dynamic-conditional-random-fields-for-single-and-multi-label-sequence-modeling-1911.03667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factored-latent-dynamic-conditional-random-fields-for-single-and-multi-label-sequence-modeling-1911.03667"/></url>
<url><loc>https://scifaro.com/en/abs/preservation-of-anomalous-subgroups-on-machine-learning-transformed-data-1911.03674</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preservation-of-anomalous-subgroups-on-machine-learning-transformed-data-1911.03674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preservation-of-anomalous-subgroups-on-machine-learning-transformed-data-1911.03674"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-regression-using-low-rank-and-sparse-tucker-decompositions-1911.03725</loc><lastmod>2020-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-regression-using-low-rank-and-sparse-tucker-decompositions-1911.03725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-regression-using-low-rank-and-sparse-tucker-decompositions-1911.03725"/></url>
<url><loc>https://scifaro.com/en/abs/learning-internal-representations-phd-thesis-1911.03731</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-internal-representations-phd-thesis-1911.03731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-internal-representations-phd-thesis-1911.03731"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-versus-standard-descent-methods-and-robustness-against-adversarial-examples-1911.03784</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-versus-standard-descent-methods-and-robustness-against-adversarial-examples-1911.03784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-versus-standard-descent-methods-and-robustness-against-adversarial-examples-1911.03784"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-optimize-in-swarms-1911.03787</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-optimize-in-swarms-1911.03787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-optimize-in-swarms-1911.03787"/></url>
<url><loc>https://scifaro.com/en/abs/xceptiontime-a-novel-deep-architecture-based-on-depthwise-separable-convolutions-for-hand-gesture-classification-1911.03803</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xceptiontime-a-novel-deep-architecture-based-on-depthwise-separable-convolutions-for-hand-gesture-classification-1911.03803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xceptiontime-a-novel-deep-architecture-based-on-depthwise-separable-convolutions-for-hand-gesture-classification-1911.03803"/></url>
<url><loc>https://scifaro.com/en/abs/meta-label-correction-for-noisy-label-learning-1911.03809</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-label-correction-for-noisy-label-learning-1911.03809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-label-correction-for-noisy-label-learning-1911.03809"/></url>
<url><loc>https://scifaro.com/en/abs/online-optimization-with-predictions-and-non-convex-losses-1911.03827</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-optimization-with-predictions-and-non-convex-losses-1911.03827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-optimization-with-predictions-and-non-convex-losses-1911.03827"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-denoising-by-nonlinear-robust-principal-component-analysis-1911.03831</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-denoising-by-nonlinear-robust-principal-component-analysis-1911.03831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-denoising-by-nonlinear-robust-principal-component-analysis-1911.03831"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-reinforcement-learning-with-adversarial-training-for-online-recommendation-1911.03845</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-with-adversarial-training-for-online-recommendation-1911.03845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-with-adversarial-training-for-online-recommendation-1911.03845"/></url>
<url><loc>https://scifaro.com/en/abs/minimalistic-attacks-how-little-it-takes-to-fool-a-deep-reinforcement-learning-policy-1911.03849</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimalistic-attacks-how-little-it-takes-to-fool-a-deep-reinforcement-learning-policy-1911.03849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimalistic-attacks-how-little-it-takes-to-fool-a-deep-reinforcement-learning-policy-1911.03849"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-bahdanau-attention-using-election-methods-aided-by-q-learning-1911.03853</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-bahdanau-attention-using-election-methods-aided-by-q-learning-1911.03853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-bahdanau-attention-using-election-methods-aided-by-q-learning-1911.03853"/></url>
<url><loc>https://scifaro.com/en/abs/location-attention-for-extrapolation-to-longer-sequences-1911.03872</loc><lastmod>2020-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/location-attention-for-extrapolation-to-longer-sequences-1911.03872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/location-attention-for-extrapolation-to-longer-sequences-1911.03872"/></url>
<url><loc>https://scifaro.com/en/abs/highwaygraph-modelling-long-distance-node-relations-for-improving-general-graph-neural-network-1911.03904</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/highwaygraph-modelling-long-distance-node-relations-for-improving-general-graph-neural-network-1911.03904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/highwaygraph-modelling-long-distance-node-relations-for-improving-general-graph-neural-network-1911.03904"/></url>
<url><loc>https://scifaro.com/en/abs/a-dynamic-modelling-framework-for-human-hand-gesture-task-recognition-1911.03923</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dynamic-modelling-framework-for-human-hand-gesture-task-recognition-1911.03923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dynamic-modelling-framework-for-human-hand-gesture-task-recognition-1911.03923"/></url>
<url><loc>https://scifaro.com/en/abs/symmetrical-gaussian-error-linear-units-sgelus-1911.03925</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetrical-gaussian-error-linear-units-sgelus-1911.03925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetrical-gaussian-error-linear-units-sgelus-1911.03925"/></url>
<url><loc>https://scifaro.com/en/abs/using-lstms-for-climate-change-assessment-studies-on-droughts-and-floods-1911.03941</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-lstms-for-climate-change-assessment-studies-on-droughts-and-floods-1911.03941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-lstms-for-climate-change-assessment-studies-on-droughts-and-floods-1911.03941"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-multiple-kernel-prototype-learning-for-discriminative-representation-and-feature-selection-1911.03949</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-multiple-kernel-prototype-learning-for-discriminative-representation-and-feature-selection-1911.03949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-multiple-kernel-prototype-learning-for-discriminative-representation-and-feature-selection-1911.03949"/></url>
<url><loc>https://scifaro.com/en/abs/tsk-streams-learning-tsk-fuzzy-systems-on-data-streams-1911.03951</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tsk-streams-learning-tsk-fuzzy-systems-on-data-streams-1911.03951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tsk-streams-learning-tsk-fuzzy-systems-on-data-streams-1911.03951"/></url>
<url><loc>https://scifaro.com/en/abs/seismogen-seismic-waveform-synthesis-using-generative-adversarial-networks-1911.03966</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seismogen-seismic-waveform-synthesis-using-generative-adversarial-networks-1911.03966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seismogen-seismic-waveform-synthesis-using-generative-adversarial-networks-1911.03966"/></url>
<url><loc>https://scifaro.com/en/abs/on-posterior-collapse-and-encoder-feature-dispersion-in-sequence-vaes-1911.03976</loc><lastmod>2020-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-posterior-collapse-and-encoder-feature-dispersion-in-sequence-vaes-1911.03976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-posterior-collapse-and-encoder-feature-dispersion-in-sequence-vaes-1911.03976"/></url>
<url><loc>https://scifaro.com/en/abs/customized-video-filtering-on-youtube-1911.04013</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/customized-video-filtering-on-youtube-1911.04013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/customized-video-filtering-on-youtube-1911.04013"/></url>
<url><loc>https://scifaro.com/en/abs/interaction-is-necessary-for-distributed-learning-with-privacy-or-communication-constraints-1911.04014</loc><lastmod>2020-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interaction-is-necessary-for-distributed-learning-with-privacy-or-communication-constraints-1911.04014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interaction-is-necessary-for-distributed-learning-with-privacy-or-communication-constraints-1911.04014"/></url>
<url><loc>https://scifaro.com/en/abs/feedback-recurrent-autoencoder-1911.04018</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feedback-recurrent-autoencoder-1911.04018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feedback-recurrent-autoencoder-1911.04018"/></url>
<url><loc>https://scifaro.com/en/abs/mame-model-agnostic-meta-exploration-1911.04024</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mame-model-agnostic-meta-exploration-1911.04024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mame-model-agnostic-meta-exploration-1911.04024"/></url>
<url><loc>https://scifaro.com/en/abs/invariant-representations-through-adversarial-forgetting-1911.04060</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariant-representations-through-adversarial-forgetting-1911.04060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariant-representations-through-adversarial-forgetting-1911.04060"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-uncertainty-estimation-and-decomposition-in-ensemble-learning-1911.04061</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-uncertainty-estimation-and-decomposition-in-ensemble-learning-1911.04061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-uncertainty-estimation-and-decomposition-in-ensemble-learning-1911.04061"/></url>
<url><loc>https://scifaro.com/en/abs/generative-autoregressive-networks-for-3d-dancing-move-synthesis-from-music-1911.04069</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-autoregressive-networks-for-3d-dancing-move-synthesis-from-music-1911.04069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-autoregressive-networks-for-3d-dancing-move-synthesis-from-music-1911.04069"/></url>
<url><loc>https://scifaro.com/en/abs/context-aware-active-multi-step-reinforcement-learning-1911.04107</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-aware-active-multi-step-reinforcement-learning-1911.04107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-aware-active-multi-step-reinforcement-learning-1911.04107"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-of-the-relation-between-network-architecture-and-complexity-1911.04120</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-of-the-relation-between-network-architecture-and-complexity-1911.04120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-of-the-relation-between-network-architecture-and-complexity-1911.04120"/></url>
<url><loc>https://scifaro.com/en/abs/higher-order-weighted-graph-convolutional-networks-1911.04129</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higher-order-weighted-graph-convolutional-networks-1911.04129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higher-order-weighted-graph-convolutional-networks-1911.04129"/></url>
<url><loc>https://scifaro.com/en/abs/time2graph-revisiting-time-series-modeling-with-dynamic-shapelets-1911.04143</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time2graph-revisiting-time-series-modeling-with-dynamic-shapelets-1911.04143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time2graph-revisiting-time-series-modeling-with-dynamic-shapelets-1911.04143"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-connected-autonomous-driving-using-deep-reinforcement-learning-1911.04175</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-connected-autonomous-driving-using-deep-reinforcement-learning-1911.04175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-connected-autonomous-driving-using-deep-reinforcement-learning-1911.04175"/></url>
<url><loc>https://scifaro.com/en/abs/practical-federated-gradient-boosting-decision-trees-1911.04206</loc><lastmod>2019-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-federated-gradient-boosting-decision-trees-1911.04206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-federated-gradient-boosting-decision-trees-1911.04206"/></url>
<url><loc>https://scifaro.com/en/abs/multi-path-policy-optimization-1911.04207</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-path-policy-optimization-1911.04207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-path-policy-optimization-1911.04207"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-gradient-boosting-decision-trees-1911.04209</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-gradient-boosting-decision-trees-1911.04209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-gradient-boosting-decision-trees-1911.04209"/></url>
<url><loc>https://scifaro.com/en/abs/physics-guided-design-and-learning-of-neural-networks-for-predicting-drag-force-on-particle-suspensions-in-moving-fluids-1911.04240</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-guided-design-and-learning-of-neural-networks-for-predicting-drag-force-on-particle-suspensions-in-moving-fluids-1911.04240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-guided-design-and-learning-of-neural-networks-for-predicting-drag-force-on-particle-suspensions-in-moving-fluids-1911.04240"/></url>
<url><loc>https://scifaro.com/en/abs/self-training-with-noisy-student-improves-imagenet-classification-1911.04252</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-training-with-noisy-student-improves-imagenet-classification-1911.04252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-training-with-noisy-student-improves-imagenet-classification-1911.04252"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-generalisation-1911.04301</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-generalisation-1911.04301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-generalisation-1911.04301"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-best-expert-efficiently-1911.04307</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-best-expert-efficiently-1911.04307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-best-expert-efficiently-1911.04307"/></url>
<url><loc>https://scifaro.com/en/abs/systematic-comparison-of-the-influence-of-different-data-preprocessing-methods-on-the-performance-of-gait-classifications-using-machine-learning-1911.04335</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/systematic-comparison-of-the-influence-of-different-data-preprocessing-methods-on-the-performance-of-gait-classifications-using-machine-learning-1911.04335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/systematic-comparison-of-the-influence-of-different-data-preprocessing-methods-on-the-performance-of-gait-classifications-using-machine-learning-1911.04335"/></url>
<url><loc>https://scifaro.com/en/abs/fair-meta-learning-learning-how-to-learn-fairly-1911.04336</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-meta-learning-learning-how-to-learn-fairly-1911.04336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-meta-learning-learning-how-to-learn-fairly-1911.04336"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-black-box-adversarial-attacks-in-eeg-based-brain-computer-interfaces-1911.04338</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-black-box-adversarial-attacks-in-eeg-based-brain-computer-interfaces-1911.04338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-black-box-adversarial-attacks-in-eeg-based-brain-computer-interfaces-1911.04338"/></url>
<url><loc>https://scifaro.com/en/abs/to-populate-is-to-regulate-1911.04362</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-populate-is-to-regulate-1911.04362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-populate-is-to-regulate-1911.04362"/></url>
<url><loc>https://scifaro.com/en/abs/rad-on-line-anomaly-detection-for-highly-unreliable-data-1911.04383</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rad-on-line-anomaly-detection-for-highly-unreliable-data-1911.04383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rad-on-line-anomaly-detection-for-highly-unreliable-data-1911.04383"/></url>
<url><loc>https://scifaro.com/en/abs/provably-convergent-two-timescale-off-policy-actor-critic-with-function-approximation-1911.04384</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-convergent-two-timescale-off-policy-actor-critic-with-function-approximation-1911.04384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-convergent-two-timescale-off-policy-actor-critic-with-function-approximation-1911.04384"/></url>
<url><loc>https://scifaro.com/en/abs/a-biologically-plausible-benchmark-for-contextual-bandit-algorithms-in-precision-oncology-using-in-vitro-data-1911.04389</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-biologically-plausible-benchmark-for-contextual-bandit-algorithms-in-precision-oncology-using-in-vitro-data-1911.04389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-biologically-plausible-benchmark-for-contextual-bandit-algorithms-in-precision-oncology-using-in-vitro-data-1911.04389"/></url>
<url><loc>https://scifaro.com/en/abs/simplifying-random-forests-on-the-trade-off-between-interpretability-and-accuracy-1911.04393</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simplifying-random-forests-on-the-trade-off-between-interpretability-and-accuracy-1911.04393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simplifying-random-forests-on-the-trade-off-between-interpretability-and-accuracy-1911.04393"/></url>
<url><loc>https://scifaro.com/en/abs/graphdefense-towards-robust-graph-convolutional-networks-1911.04429</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphdefense-towards-robust-graph-convolutional-networks-1911.04429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphdefense-towards-robust-graph-convolutional-networks-1911.04429"/></url>
<url><loc>https://scifaro.com/en/abs/nonconvex-low-rank-tensor-completion-from-noisy-data-1911.04436</loc><lastmod>2022-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonconvex-low-rank-tensor-completion-from-noisy-data-1911.04436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonconvex-low-rank-tensor-completion-from-noisy-data-1911.04436"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-reinforcement-learning-1911.04448</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-reinforcement-learning-1911.04448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-reinforcement-learning-1911.04448"/></url>
<url><loc>https://scifaro.com/en/abs/structural-pruning-in-deep-neural-networks-a-small-world-approach-1911.04453</loc><lastmod>2019-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-pruning-in-deep-neural-networks-a-small-world-approach-1911.04453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-pruning-in-deep-neural-networks-a-small-world-approach-1911.04453"/></url>
<url><loc>https://scifaro.com/en/abs/neural-contextual-bandits-with-ucb-based-exploration-1911.04462</loc><lastmod>2020-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-contextual-bandits-with-ucb-based-exploration-1911.04462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-contextual-bandits-with-ucb-based-exploration-1911.04462"/></url>
<url><loc>https://scifaro.com/en/abs/midas-microcluster-based-detector-of-anomalies-in-edge-streams-1911.04464</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/midas-microcluster-based-detector-of-anomalies-in-edge-streams-1911.04464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/midas-microcluster-based-detector-of-anomalies-in-edge-streams-1911.04464"/></url>
<url><loc>https://scifaro.com/en/abs/hardware-aware-pruning-of-dnns-using-lfsr-generated-pseudo-random-indices-1911.04468</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hardware-aware-pruning-of-dnns-using-lfsr-generated-pseudo-random-indices-1911.04468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hardware-aware-pruning-of-dnns-using-lfsr-generated-pseudo-random-indices-1911.04468"/></url>
<url><loc>https://scifaro.com/en/abs/a-computing-kernel-for-network-binarization-on-pytorch-1911.04477</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-computing-kernel-for-network-binarization-on-pytorch-1911.04477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-computing-kernel-for-network-binarization-on-pytorch-1911.04477"/></url>
<url><loc>https://scifaro.com/en/abs/making-good-on-lstms-unfulfilled-promise-1911.04489</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-good-on-lstms-unfulfilled-promise-1911.04489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-good-on-lstms-unfulfilled-promise-1911.04489"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-is-what-we-care-about-experimental-investigation-of-federated-learning-on-edge-devices-1911.04559</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-is-what-we-care-about-experimental-investigation-of-federated-learning-on-edge-devices-1911.04559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-is-what-we-care-about-experimental-investigation-of-federated-learning-on-edge-devices-1911.04559"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-based-variational-quantum-circuits-optimization-for-combinatorial-problems-1911.04574</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-based-variational-quantum-circuits-optimization-for-combinatorial-problems-1911.04574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-based-variational-quantum-circuits-optimization-for-combinatorial-problems-1911.04574"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-differential-privacy-in-vertically-partitioned-multiparty-learning-1911.04587</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-differential-privacy-in-vertically-partitioned-multiparty-learning-1911.04587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-differential-privacy-in-vertically-partitioned-multiparty-learning-1911.04587"/></url>
<url><loc>https://scifaro.com/en/abs/rate-regularization-and-generalization-in-vaes-1911.04594</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rate-regularization-and-generalization-in-vaes-1911.04594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rate-regularization-and-generalization-in-vaes-1911.04594"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-probabilistic-vehicle-trajectory-prediction-through-physically-feasible-bayesian-recurrent-neural-network-1911.04597</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-probabilistic-vehicle-trajectory-prediction-through-physically-feasible-bayesian-recurrent-neural-network-1911.04597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-probabilistic-vehicle-trajectory-prediction-through-physically-feasible-bayesian-recurrent-neural-network-1911.04597"/></url>
<url><loc>https://scifaro.com/en/abs/xpipe-efficient-pipeline-model-parallelism-for-multi-gpu-dnn-training-1911.04610</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xpipe-efficient-pipeline-model-parallelism-for-multi-gpu-dnn-training-1911.04610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xpipe-efficient-pipeline-model-parallelism-for-multi-gpu-dnn-training-1911.04610"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-hidden-buyers-in-darknet-markets-via-dirichlet-hawkes-process-1911.04620</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-hidden-buyers-in-darknet-markets-via-dirichlet-hawkes-process-1911.04620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-hidden-buyers-in-darknet-markets-via-dirichlet-hawkes-process-1911.04620"/></url>
<url><loc>https://scifaro.com/en/abs/model-augmented-estimation-of-conditional-mutual-information-for-feature-selection-1911.04628</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-augmented-estimation-of-conditional-mutual-information-for-feature-selection-1911.04628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-augmented-estimation-of-conditional-mutual-information-for-feature-selection-1911.04628"/></url>
<url><loc>https://scifaro.com/en/abs/robust-design-of-deep-neural-networks-against-adversarial-attacks-based-on-lyapunov-theory-1911.04636</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-design-of-deep-neural-networks-against-adversarial-attacks-based-on-lyapunov-theory-1911.04636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-design-of-deep-neural-networks-against-adversarial-attacks-based-on-lyapunov-theory-1911.04636"/></url>
<url><loc>https://scifaro.com/en/abs/connecting-first-and-second-order-recurrent-networks-with-deterministic-finite-automata-1911.04644</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/connecting-first-and-second-order-recurrent-networks-with-deterministic-finite-automata-1911.04644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/connecting-first-and-second-order-recurrent-networks-with-deterministic-finite-automata-1911.04644"/></url>
<url><loc>https://scifaro.com/en/abs/hyper-sphere-quantization-communication-efficient-sgd-for-federated-learning-1911.04655</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyper-sphere-quantization-communication-efficient-sgd-for-federated-learning-1911.04655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyper-sphere-quantization-communication-efficient-sgd-for-federated-learning-1911.04655"/></url>
<url><loc>https://scifaro.com/en/abs/on-robustness-to-adversarial-examples-and-polynomial-optimization-1911.04681</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-robustness-to-adversarial-examples-and-polynomial-optimization-1911.04681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-robustness-to-adversarial-examples-and-polynomial-optimization-1911.04681"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-the-past-continual-meta-learning-via-bayesian-graph-modeling-1911.04695</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-the-past-continual-meta-learning-via-bayesian-graph-modeling-1911.04695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-the-past-continual-meta-learning-via-bayesian-graph-modeling-1911.04695"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-models-strike-back-improving-understanding-and-evaluation-in-light-of-unmet-expectations-for-ood-data-1911.04699</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-models-strike-back-improving-understanding-and-evaluation-in-light-of-unmet-expectations-for-ood-data-1911.04699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-models-strike-back-improving-understanding-and-evaluation-in-light-of-unmet-expectations-for-ood-data-1911.04699"/></url>
<url><loc>https://scifaro.com/en/abs/text-mining-using-nonnegative-matrix-factorization-and-latent-semantic-analysis-1911.04705</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/text-mining-using-nonnegative-matrix-factorization-and-latent-semantic-analysis-1911.04705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/text-mining-using-nonnegative-matrix-factorization-and-latent-semantic-analysis-1911.04705"/></url>
<url><loc>https://scifaro.com/en/abs/flaml-a-fast-and-lightweight-automl-library-1911.04706</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flaml-a-fast-and-lightweight-automl-library-1911.04706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flaml-a-fast-and-lightweight-automl-library-1911.04706"/></url>
<url><loc>https://scifaro.com/en/abs/smiles-transformer-pre-trained-molecular-fingerprint-for-low-data-drug-discovery-1911.04738</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smiles-transformer-pre-trained-molecular-fingerprint-for-low-data-drug-discovery-1911.04738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smiles-transformer-pre-trained-molecular-fingerprint-for-low-data-drug-discovery-1911.04738"/></url>
<url><loc>https://scifaro.com/en/abs/effects-of-data-ambiguity-and-cognitive-biases-on-the-interpretability-of-machine-learning-models-in-humanitarian-decision-making-1911.04787</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effects-of-data-ambiguity-and-cognitive-biases-on-the-interpretability-of-machine-learning-models-in-humanitarian-decision-making-1911.04787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effects-of-data-ambiguity-and-cognitive-biases-on-the-interpretability-of-machine-learning-models-in-humanitarian-decision-making-1911.04787"/></url>
<url><loc>https://scifaro.com/en/abs/on-policy-gradients-1911.04817</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-policy-gradients-1911.04817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-policy-gradients-1911.04817"/></url>
<url><loc>https://scifaro.com/en/abs/a-capsule-network-based-model-for-learning-node-embeddings-1911.04822</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-capsule-network-based-model-for-learning-node-embeddings-1911.04822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-capsule-network-based-model-for-learning-node-embeddings-1911.04822"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-wrapper-feature-selection-by-modeling-imperfect-labels-1911.04841</loc><lastmod>2020-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-wrapper-feature-selection-by-modeling-imperfect-labels-1911.04841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-wrapper-feature-selection-by-modeling-imperfect-labels-1911.04841"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-inverse-free-algorithms-for-extreme-learning-machine-based-on-the-recursive-matrix-inverse-and-the-inverse-ldl-factorization-1911.04856</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-inverse-free-algorithms-for-extreme-learning-machine-based-on-the-recursive-matrix-inverse-and-the-inverse-ldl-factorization-1911.04856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-inverse-free-algorithms-for-extreme-learning-machine-based-on-the-recursive-matrix-inverse-and-the-inverse-ldl-factorization-1911.04856"/></url>
<url><loc>https://scifaro.com/en/abs/two-ridge-solutions-for-the-incremental-broad-learning-system-on-added-nodes-1911.04872</loc><lastmod>2024-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-ridge-solutions-for-the-incremental-broad-learning-system-on-added-nodes-1911.04872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-ridge-solutions-for-the-incremental-broad-learning-system-on-added-nodes-1911.04872"/></url>
<url><loc>https://scifaro.com/en/abs/generating-an-explainable-ecg-beat-space-with-variational-auto-encoders-1911.04898</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-an-explainable-ecg-beat-space-with-variational-auto-encoders-1911.04898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-an-explainable-ecg-beat-space-with-variational-auto-encoders-1911.04898"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-aware-neural-r-eyni-minimization-for-continuous-features-1911.04929</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-aware-neural-r-eyni-minimization-for-continuous-features-1911.04929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-aware-neural-r-eyni-minimization-for-continuous-features-1911.04929"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-fair-principal-component-analysis-1911.04931</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-fair-principal-component-analysis-1911.04931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-fair-principal-component-analysis-1911.04931"/></url>
<url><loc>https://scifaro.com/en/abs/eternal-sunshine-of-the-spotless-net-selective-forgetting-in-deep-networks-1911.04933</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eternal-sunshine-of-the-spotless-net-selective-forgetting-in-deep-networks-1911.04933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eternal-sunshine-of-the-spotless-net-selective-forgetting-in-deep-networks-1911.04933"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-optimization-by-graph-pointer-networks-and-hierarchical-reinforcement-learning-1911.04936</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-optimization-by-graph-pointer-networks-and-hierarchical-reinforcement-learning-1911.04936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-optimization-by-graph-pointer-networks-and-hierarchical-reinforcement-learning-1911.04936"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-deep-learning-inference-on-embedded-systems-through-adaptive-model-selection-1911.04946</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-deep-learning-inference-on-embedded-systems-through-adaptive-model-selection-1911.04946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-deep-learning-inference-on-embedded-systems-through-adaptive-model-selection-1911.04946"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-training-in-pommerman-with-imitation-and-reinforcement-learning-1911.04947</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-training-in-pommerman-with-imitation-and-reinforcement-learning-1911.04947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-training-in-pommerman-with-imitation-and-reinforcement-learning-1911.04947"/></url>
<url><loc>https://scifaro.com/en/abs/iteratively-training-look-up-tables-for-network-quantization-1911.04951</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iteratively-training-look-up-tables-for-network-quantization-1911.04951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iteratively-training-look-up-tables-for-network-quantization-1911.04951"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-graph-convolutional-neural-networks-using-node-copying-1911.04965</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-graph-convolutional-neural-networks-using-node-copying-1911.04965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-graph-convolutional-neural-networks-using-node-copying-1911.04965"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-clinically-available-delineations-for-cnn-based-segmentation-in-radiotherapy-treatment-planning-1911.04967</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-clinically-available-delineations-for-cnn-based-segmentation-in-radiotherapy-treatment-planning-1911.04967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-clinically-available-delineations-for-cnn-based-segmentation-in-radiotherapy-treatment-planning-1911.04967"/></url>
<url><loc>https://scifaro.com/en/abs/deep-aligned-convolutional-neural-network-for-skeleton-based-action-recognition-and-segmentation-1911.04969</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-aligned-convolutional-neural-network-for-skeleton-based-action-recognition-and-segmentation-1911.04969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-aligned-convolutional-neural-network-for-skeleton-based-action-recognition-and-segmentation-1911.04969"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-fast-automatic-modulation-classification-with-cnn-under-multipath-fading-channels-1911.04970</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-fast-automatic-modulation-classification-with-cnn-under-multipath-fading-channels-1911.04970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-fast-automatic-modulation-classification-with-cnn-under-multipath-fading-channels-1911.04970"/></url>
<url><loc>https://scifaro.com/en/abs/deep-variational-semi-supervised-novelty-detection-1911.04971</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-variational-semi-supervised-novelty-detection-1911.04971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-variational-semi-supervised-novelty-detection-1911.04971"/></url>
<url><loc>https://scifaro.com/en/abs/multi-step-chord-sequence-prediction-based-on-aggregated-multi-scale-encoder-decoder-network-1911.04972</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-step-chord-sequence-prediction-based-on-aggregated-multi-scale-encoder-decoder-network-1911.04972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-step-chord-sequence-prediction-based-on-aggregated-multi-scale-encoder-decoder-network-1911.04972"/></url>
<url><loc>https://scifaro.com/en/abs/word2ket-space-efficient-word-embeddings-inspired-by-quantum-entanglement-1911.04975</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/word2ket-space-efficient-word-embeddings-inspired-by-quantum-entanglement-1911.04975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/word2ket-space-efficient-word-embeddings-inspired-by-quantum-entanglement-1911.04975"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-networks-gan-based-efficient-sampling-of-chemical-space-for-inverse-design-of-inorganic-materials-1911.05020</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-networks-gan-based-efficient-sampling-of-chemical-space-for-inverse-design-of-inorganic-materials-1911.05020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-networks-gan-based-efficient-sampling-of-chemical-space-for-inverse-design-of-inorganic-materials-1911.05020"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-gradient-controllable-recurrent-neural-networks-using-hamiltonian-dynamics-1911.05035</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-gradient-controllable-recurrent-neural-networks-using-hamiltonian-dynamics-1911.05035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-gradient-controllable-recurrent-neural-networks-using-hamiltonian-dynamics-1911.05035"/></url>
<url><loc>https://scifaro.com/en/abs/tight-sample-complexity-of-learning-one-hidden-layer-convolutional-neural-networks-1911.05059</loc><lastmod>2019-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-sample-complexity-of-learning-one-hidden-layer-convolutional-neural-networks-1911.05059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-sample-complexity-of-learning-one-hidden-layer-convolutional-neural-networks-1911.05059"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-brains-how-to-regularize-machines-1911.05072</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-brains-how-to-regularize-machines-1911.05072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-brains-how-to-regularize-machines-1911.05072"/></url>
<url><loc>https://scifaro.com/en/abs/constant-curvature-graph-convolutional-networks-1911.05076</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constant-curvature-graph-convolutional-networks-1911.05076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constant-curvature-graph-convolutional-networks-1911.05076"/></url>
<url><loc>https://scifaro.com/en/abs/time-aware-prospective-modeling-of-users-for-online-display-advertising-1911.05100</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-aware-prospective-modeling-of-users-for-online-display-advertising-1911.05100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-aware-prospective-modeling-of-users-for-online-display-advertising-1911.05100"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-patterns-of-physiological-response-to-hemodynamic-stress-via-unsupervised-deep-learning-1911.05121</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-patterns-of-physiological-response-to-hemodynamic-stress-via-unsupervised-deep-learning-1911.05121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-patterns-of-physiological-response-to-hemodynamic-stress-via-unsupervised-deep-learning-1911.05121"/></url>
<url><loc>https://scifaro.com/en/abs/incentivized-exploration-for-multi-armed-bandits-under-reward-drift-1911.05142</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incentivized-exploration-for-multi-armed-bandits-under-reward-drift-1911.05142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incentivized-exploration-for-multi-armed-bandits-under-reward-drift-1911.05142"/></url>
<url><loc>https://scifaro.com/en/abs/negative-sampling-in-semi-supervised-learning-1911.05166</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/negative-sampling-in-semi-supervised-learning-1911.05166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/negative-sampling-in-semi-supervised-learning-1911.05166"/></url>
<url><loc>https://scifaro.com/en/abs/92c-mflops-s-ultra-large-scale-neural-network-training-on-a-piii-cluster-1911.05181</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/92c-mflops-s-ultra-large-scale-neural-network-training-on-a-piii-cluster-1911.05181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/92c-mflops-s-ultra-large-scale-neural-network-training-on-a-piii-cluster-1911.05181"/></url>
<url><loc>https://scifaro.com/en/abs/cheetah-an-ultra-fast-approximation-free-and-privacy-preserved-neural-network-framework-based-on-joint-obscure-linear-and-nonlinear-computations-1911.05184</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cheetah-an-ultra-fast-approximation-free-and-privacy-preserved-neural-network-framework-based-on-joint-obscure-linear-and-nonlinear-computations-1911.05184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cheetah-an-ultra-fast-approximation-free-and-privacy-preserved-neural-network-framework-based-on-joint-obscure-linear-and-nonlinear-computations-1911.05184"/></url>
<url><loc>https://scifaro.com/en/abs/double-cycle-consistent-generative-adversarial-network-for-unsupervised-conditional-generation-1911.05210</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-cycle-consistent-generative-adversarial-network-for-unsupervised-conditional-generation-1911.05210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-cycle-consistent-generative-adversarial-network-for-unsupervised-conditional-generation-1911.05210"/></url>
<url><loc>https://scifaro.com/en/abs/what-do-compressed-deep-neural-networks-forget-1911.05248</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-do-compressed-deep-neural-networks-forget-1911.05248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-do-compressed-deep-neural-networks-forget-1911.05248"/></url>
<url><loc>https://scifaro.com/en/abs/a-hierarchy-of-graph-neural-networks-based-on-learnable-local-features-1911.05256</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hierarchy-of-graph-neural-networks-based-on-learnable-local-features-1911.05256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hierarchy-of-graph-neural-networks-based-on-learnable-local-features-1911.05256"/></url>
<url><loc>https://scifaro.com/en/abs/learning-non-parametric-invariances-from-data-with-permanent-random-connectomes-1911.05266</loc><lastmod>2020-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-non-parametric-invariances-from-data-with-permanent-random-connectomes-1911.05266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-non-parametric-invariances-from-data-with-permanent-random-connectomes-1911.05266"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-in-modern-machine-learning-a-review-1911.05268</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-in-modern-machine-learning-a-review-1911.05268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-in-modern-machine-learning-a-review-1911.05268"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-a-teacher-using-unlabeled-data-1911.05275</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-a-teacher-using-unlabeled-data-1911.05275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-a-teacher-using-unlabeled-data-1911.05275"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-distillation-for-top-n-recommendation-1911.05276</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-distillation-for-top-n-recommendation-1911.05276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-distillation-for-top-n-recommendation-1911.05276"/></url>
<url><loc>https://scifaro.com/en/abs/the-deep-learning-revolution-and-its-implications-for-computer-architecture-and-chip-design-1911.05289</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-deep-learning-revolution-and-its-implications-for-computer-architecture-and-chip-design-1911.05289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-deep-learning-revolution-and-its-implications-for-computer-architecture-and-chip-design-1911.05289"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-portfolio-by-solving-multi-armed-bandit-via-thompson-sampling-1911.05309</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-portfolio-by-solving-multi-armed-bandit-via-thompson-sampling-1911.05309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-portfolio-by-solving-multi-armed-bandit-via-thompson-sampling-1911.05309"/></url>
<url><loc>https://scifaro.com/en/abs/topological-stability-a-new-algorithm-for-selecting-the-nearest-neighbors-in-non-linear-dimensionality-reduction-techniques-1911.05312</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-stability-a-new-algorithm-for-selecting-the-nearest-neighbors-in-non-linear-dimensionality-reduction-techniques-1911.05312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-stability-a-new-algorithm-for-selecting-the-nearest-neighbors-in-non-linear-dimensionality-reduction-techniques-1911.05312"/></url>
<url><loc>https://scifaro.com/en/abs/finding-social-media-trolls-dynamic-keyword-selection-methods-for-rapidly-evolving-online-debates-1911.05332</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-social-media-trolls-dynamic-keyword-selection-methods-for-rapidly-evolving-online-debates-1911.05332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-social-media-trolls-dynamic-keyword-selection-methods-for-rapidly-evolving-online-debates-1911.05332"/></url>
<url><loc>https://scifaro.com/en/abs/zimm-a-deep-learning-model-for-long-term-and-blurry-relapses-with-non-clinical-claims-data-1911.05346</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zimm-a-deep-learning-model-for-long-term-and-blurry-relapses-with-non-clinical-claims-data-1911.05346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zimm-a-deep-learning-model-for-long-term-and-blurry-relapses-with-non-clinical-claims-data-1911.05346"/></url>
<url><loc>https://scifaro.com/en/abs/fair-adversarial-gradient-tree-boosting-1911.05369</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-adversarial-gradient-tree-boosting-1911.05369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-adversarial-gradient-tree-boosting-1911.05369"/></url>
<url><loc>https://scifaro.com/en/abs/savehr-self-attention-vector-representations-for-ehr-based-personalized-chronic-disease-onset-prediction-and-interpretability-1911.05370</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/savehr-self-attention-vector-representations-for-ehr-based-personalized-chronic-disease-onset-prediction-and-interpretability-1911.05370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/savehr-self-attention-vector-representations-for-ehr-based-personalized-chronic-disease-onset-prediction-and-interpretability-1911.05370"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-representation-learning-from-electroencephalography-signals-1911.05419</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-representation-learning-from-electroencephalography-signals-1911.05419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-representation-learning-from-electroencephalography-signals-1911.05419"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-communicate-in-multi-agent-reinforcement-learning-a-review-1911.05438</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-communicate-in-multi-agent-reinforcement-learning-a-review-1911.05438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-communicate-in-multi-agent-reinforcement-learning-a-review-1911.05438"/></url>
<url><loc>https://scifaro.com/en/abs/regression-via-arbitrary-quantile-modeling-1911.05441</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-via-arbitrary-quantile-modeling-1911.05441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-via-arbitrary-quantile-modeling-1911.05441"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-connected-neural-decision-classifier-and-regressor-with-dynamic-softing-pruning-1911.05443</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-connected-neural-decision-classifier-and-regressor-with-dynamic-softing-pruning-1911.05443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-connected-neural-decision-classifier-and-regressor-with-dynamic-softing-pruning-1911.05443"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-complexity-of-labeled-datasets-1911.05461</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-complexity-of-labeled-datasets-1911.05461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-complexity-of-labeled-datasets-1911.05461"/></url>
<url><loc>https://scifaro.com/en/abs/chebnet-efficient-and-stable-constructions-of-deep-neural-networks-with-rectified-power-units-via-chebyshev-approximations-1911.05467</loc><lastmod>2026-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chebnet-efficient-and-stable-constructions-of-deep-neural-networks-with-rectified-power-units-via-chebyshev-approximations-1911.05467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chebnet-efficient-and-stable-constructions-of-deep-neural-networks-with-rectified-power-units-via-chebyshev-approximations-1911.05467"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-distributed-learning-from-constraints-1911.05473</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-distributed-learning-from-constraints-1911.05473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-distributed-learning-from-constraints-1911.05473"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-on-asynchronous-time-event-prediction-1911.05503</loc><lastmod>2020-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-on-asynchronous-time-event-prediction-1911.05503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-on-asynchronous-time-event-prediction-1911.05503"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-transformers-for-long-range-sequence-modelling-1911.05507</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-transformers-for-long-range-sequence-modelling-1911.05507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-transformers-for-long-range-sequence-modelling-1911.05507"/></url>
<url><loc>https://scifaro.com/en/abs/learning-relationships-between-text-audio-and-video-via-deep-canonical-correlation-for-multimodal-language-analysis-1911.05544</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-relationships-between-text-audio-and-video-via-deep-canonical-correlation-for-multimodal-language-analysis-1911.05544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-relationships-between-text-audio-and-video-via-deep-canonical-correlation-for-multimodal-language-analysis-1911.05544"/></url>
<url><loc>https://scifaro.com/en/abs/avoiding-hashing-and-encouraging-visual-semantics-in-referential-emergent-language-games-1911.05546</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avoiding-hashing-and-encouraging-visual-semantics-in-referential-emergent-language-games-1911.05546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avoiding-hashing-and-encouraging-visual-semantics-in-referential-emergent-language-games-1911.05546"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-decomposition-with-relational-constraints-for-predicting-multiple-types-of-microrna-disease-associations-1911.05584</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-decomposition-with-relational-constraints-for-predicting-multiple-types-of-microrna-disease-associations-1911.05584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-decomposition-with-relational-constraints-for-predicting-multiple-types-of-microrna-disease-associations-1911.05584"/></url>
<url><loc>https://scifaro.com/en/abs/structured-sparsification-of-gated-recurrent-neural-networks-1911.05585</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-sparsification-of-gated-recurrent-neural-networks-1911.05585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-sparsification-of-gated-recurrent-neural-networks-1911.05585"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-importance-of-single-directions-via-representative-substitution-1911.05586</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-importance-of-single-directions-via-representative-substitution-1911.05586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-importance-of-single-directions-via-representative-substitution-1911.05586"/></url>
<url><loc>https://scifaro.com/en/abs/an-effective-hit-or-miss-layer-favoring-feature-interpretation-as-learned-prototypes-deformations-1911.05588</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-effective-hit-or-miss-layer-favoring-feature-interpretation-as-learned-prototypes-deformations-1911.05588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-effective-hit-or-miss-layer-favoring-feature-interpretation-as-learned-prototypes-deformations-1911.05588"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-processing-neural-networks-an-efficient-way-to-learn-higher-order-functions-1911.05640</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-processing-neural-networks-an-efficient-way-to-learn-higher-order-functions-1911.05640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-processing-neural-networks-an-efficient-way-to-learn-higher-order-functions-1911.05640"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-patterns-of-smartphone-usage-and-their-relationship-to-cognitive-health-1911.05683</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-patterns-of-smartphone-usage-and-their-relationship-to-cognitive-health-1911.05683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-patterns-of-smartphone-usage-and-their-relationship-to-cognitive-health-1911.05683"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-in-reinforcement-learning-an-information-bottleneck-approach-1911.05695</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-in-reinforcement-learning-an-information-bottleneck-approach-1911.05695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-in-reinforcement-learning-an-information-bottleneck-approach-1911.05695"/></url>
<url><loc>https://scifaro.com/en/abs/schedule-earth-observation-satellites-with-deep-reinforcement-learning-1911.05696</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/schedule-earth-observation-satellites-with-deep-reinforcement-learning-1911.05696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/schedule-earth-observation-satellites-with-deep-reinforcement-learning-1911.05696"/></url>
<url><loc>https://scifaro.com/en/abs/a-convergent-off-policy-temporal-difference-algorithm-1911.05697</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convergent-off-policy-temporal-difference-algorithm-1911.05697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convergent-off-policy-temporal-difference-algorithm-1911.05697"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-multi-level-patient-representations-from-electronic-health-records-1911.05698</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-multi-level-patient-representations-from-electronic-health-records-1911.05698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-multi-level-patient-representations-from-electronic-health-records-1911.05698"/></url>
<url><loc>https://scifaro.com/en/abs/building-effective-large-scale-traffic-state-prediction-system-traffic4cast-challenge-solution-1911.05699</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-effective-large-scale-traffic-state-prediction-system-traffic4cast-challenge-solution-1911.05699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-effective-large-scale-traffic-state-prediction-system-traffic4cast-challenge-solution-1911.05699"/></url>
<url><loc>https://scifaro.com/en/abs/graph-representation-learning-via-multi-task-knowledge-distillation-1911.05700</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-representation-learning-via-multi-task-knowledge-distillation-1911.05700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-representation-learning-via-multi-task-knowledge-distillation-1911.05700"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-value-iteration-networks-1911.05701</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-value-iteration-networks-1911.05701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-value-iteration-networks-1911.05701"/></url>
<url><loc>https://scifaro.com/en/abs/early-predictions-for-medical-crowdfunding-a-deep-learning-approach-using-diverse-inputs-1911.05702</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-predictions-for-medical-crowdfunding-a-deep-learning-approach-using-diverse-inputs-1911.05702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-predictions-for-medical-crowdfunding-a-deep-learning-approach-using-diverse-inputs-1911.05702"/></url>
<url><loc>https://scifaro.com/en/abs/rapdarts-resource-aware-progressive-differentiable-architecture-search-1911.05704</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapdarts-resource-aware-progressive-differentiable-architecture-search-1911.05704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapdarts-resource-aware-progressive-differentiable-architecture-search-1911.05704"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-bayesian-inference-for-crowdsourced-classification-1911.05712</loc><lastmod>2019-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-bayesian-inference-for-crowdsourced-classification-1911.05712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-bayesian-inference-for-crowdsourced-classification-1911.05712"/></url>
<url><loc>https://scifaro.com/en/abs/factor-group-sparse-regularization-for-efficient-low-rank-matrix-recovery-1911.05774</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factor-group-sparse-regularization-for-efficient-low-rank-matrix-recovery-1911.05774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factor-group-sparse-regularization-for-efficient-low-rank-matrix-recovery-1911.05774"/></url>
<url><loc>https://scifaro.com/en/abs/learning-internal-representations-colt-1995-1911.05781</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-internal-representations-colt-1995-1911.05781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-internal-representations-colt-1995-1911.05781"/></url>
<url><loc>https://scifaro.com/en/abs/coarse-refinement-dilemma-on-generalization-bounds-for-data-clustering-1911.05806</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coarse-refinement-dilemma-on-generalization-bounds-for-data-clustering-1911.05806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coarse-refinement-dilemma-on-generalization-bounds-for-data-clustering-1911.05806"/></url>
<url><loc>https://scifaro.com/en/abs/triply-robust-off-policy-evaluation-1911.05811</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/triply-robust-off-policy-evaluation-1911.05811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/triply-robust-off-policy-evaluation-1911.05811"/></url>
<url><loc>https://scifaro.com/en/abs/kinematic-state-abstraction-and-provably-efficient-rich-observation-reinforcement-learning-1911.05815</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kinematic-state-abstraction-and-provably-efficient-rich-observation-reinforcement-learning-1911.05815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kinematic-state-abstraction-and-provably-efficient-rich-observation-reinforcement-learning-1911.05815"/></url>
<url><loc>https://scifaro.com/en/abs/taste-temporal-and-static-tensor-factorization-for-phenotyping-electronic-health-records-1911.05843</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taste-temporal-and-static-tensor-factorization-for-phenotyping-electronic-health-records-1911.05843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taste-temporal-and-static-tensor-factorization-for-phenotyping-electronic-health-records-1911.05843"/></url>
<url><loc>https://scifaro.com/en/abs/federated-and-differentially-private-learning-for-electronic-health-records-1911.05861</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-and-differentially-private-learning-for-electronic-health-records-1911.05861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-and-differentially-private-learning-for-electronic-health-records-1911.05861"/></url>
<url><loc>https://scifaro.com/en/abs/a-reduction-from-reinforcement-learning-to-no-regret-online-learning-1911.05873</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reduction-from-reinforcement-learning-to-no-regret-online-learning-1911.05873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reduction-from-reinforcement-learning-to-no-regret-online-learning-1911.05873"/></url>
<url><loc>https://scifaro.com/en/abs/revenue-maximization-of-airbnb-marketplace-using-search-results-1911.05887</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revenue-maximization-of-airbnb-marketplace-using-search-results-1911.05887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revenue-maximization-of-airbnb-marketplace-using-search-results-1911.05887"/></url>
<url><loc>https://scifaro.com/en/abs/there-is-limited-correlation-between-coverage-and-robustness-for-deep-neural-networks-1911.05904</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/there-is-limited-correlation-between-coverage-and-robustness-for-deep-neural-networks-1911.05904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/there-is-limited-correlation-between-coverage-and-robustness-for-deep-neural-networks-1911.05904"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-ordinal-factorization-model-deciphering-the-effects-of-attributes-by-piece-wise-linear-approximation-1911.05909</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-ordinal-factorization-model-deciphering-the-effects-of-attributes-by-piece-wise-linear-approximation-1911.05909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-ordinal-factorization-model-deciphering-the-effects-of-attributes-by-piece-wise-linear-approximation-1911.05909"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-margin-maximization-networks-1911.05916</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-margin-maximization-networks-1911.05916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-margin-maximization-networks-1911.05916"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-disharmony-between-weight-normalization-family-and-weight-decay-epsilon-shifted-l-2-regularizer-1911.05920</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-disharmony-between-weight-normalization-family-and-weight-decay-epsilon-shifted-l-2-regularizer-1911.05920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-disharmony-between-weight-normalization-family-and-weight-decay-epsilon-shifted-l-2-regularizer-1911.05920"/></url>
<url><loc>https://scifaro.com/en/abs/gamifying-the-vehicle-routing-problem-with-stochastic-requests-1911.05922</loc><lastmod>2024-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gamifying-the-vehicle-routing-problem-with-stochastic-requests-1911.05922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gamifying-the-vehicle-routing-problem-with-stochastic-requests-1911.05922"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-hardware-oriented-dropout-algorithm-1911.05941</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-hardware-oriented-dropout-algorithm-1911.05941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-hardware-oriented-dropout-algorithm-1911.05941"/></url>
<url><loc>https://scifaro.com/en/abs/2l-3w-2-level-3-way-hardware-software-co-verification-for-the-mapping-of-deep-learning-architecture-dla-onto-fpga-boards-1911.05944</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/2l-3w-2-level-3-way-hardware-software-co-verification-for-the-mapping-of-deep-learning-architecture-dla-onto-fpga-boards-1911.05944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/2l-3w-2-level-3-way-hardware-software-co-verification-for-the-mapping-of-deep-learning-architecture-dla-onto-fpga-boards-1911.05944"/></url>
<url><loc>https://scifaro.com/en/abs/online-second-price-auction-with-semi-bandit-feedback-under-the-non-stationary-setting-1911.05949</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-second-price-auction-with-semi-bandit-feedback-under-the-non-stationary-setting-1911.05949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-second-price-auction-with-semi-bandit-feedback-under-the-non-stationary-setting-1911.05949"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-graph-pooling-with-structure-learning-1911.05954</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-graph-pooling-with-structure-learning-1911.05954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-graph-pooling-with-structure-learning-1911.05954"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-bandits-evolving-over-finite-time-1911.05956</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-bandits-evolving-over-finite-time-1911.05956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-bandits-evolving-over-finite-time-1911.05956"/></url>
<url><loc>https://scifaro.com/en/abs/attention-on-abstract-visual-reasoning-1911.05990</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-on-abstract-visual-reasoning-1911.05990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-on-abstract-visual-reasoning-1911.05990"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-and-utility-preserving-sensor-data-transformations-1911.05996</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-and-utility-preserving-sensor-data-transformations-1911.05996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-and-utility-preserving-sensor-data-transformations-1911.05996"/></url>
<url><loc>https://scifaro.com/en/abs/simplified-and-unified-analysis-of-various-learning-problems-by-reduction-to-multiple-instance-learning-1911.05999</loc><lastmod>2022-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simplified-and-unified-analysis-of-various-learning-problems-by-reduction-to-multiple-instance-learning-1911.05999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simplified-and-unified-analysis-of-various-learning-problems-by-reduction-to-multiple-instance-learning-1911.05999"/></url>
<url><loc>https://scifaro.com/en/abs/a-recurrent-probabilistic-neural-network-with-dimensionality-reduction-based-on-time-series-discriminant-component-analysis-1911.06009</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-recurrent-probabilistic-neural-network-with-dimensionality-reduction-based-on-time-series-discriminant-component-analysis-1911.06009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-recurrent-probabilistic-neural-network-with-dimensionality-reduction-based-on-time-series-discriminant-component-analysis-1911.06009"/></url>
<url><loc>https://scifaro.com/en/abs/robust-parameter-free-season-length-detection-in-time-series-1911.06015</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-parameter-free-season-length-detection-in-time-series-1911.06015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-parameter-free-season-length-detection-in-time-series-1911.06015"/></url>
<url><loc>https://scifaro.com/en/abs/a-discriminative-gaussian-mixture-model-with-sparsity-1911.06028</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-discriminative-gaussian-mixture-model-with-sparsity-1911.06028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-discriminative-gaussian-mixture-model-with-sparsity-1911.06028"/></url>
<url><loc>https://scifaro.com/en/abs/conjugate-gradients-for-kernel-machines-1911.06048</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conjugate-gradients-for-kernel-machines-1911.06048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conjugate-gradients-for-kernel-machines-1911.06048"/></url>
<url><loc>https://scifaro.com/en/abs/supplementary-material-for-uncorrected-least-squares-temporal-difference-with-lambda-return-1911.06057</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supplementary-material-for-uncorrected-least-squares-temporal-difference-with-lambda-return-1911.06057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supplementary-material-for-uncorrected-least-squares-temporal-difference-with-lambda-return-1911.06057"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-information-theoretic-model-of-bias-learning-1911.06129</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-information-theoretic-model-of-bias-learning-1911.06129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-information-theoretic-model-of-bias-learning-1911.06129"/></url>
<url><loc>https://scifaro.com/en/abs/learning-model-bias-1911.06164</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-model-bias-1911.06164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-model-bias-1911.06164"/></url>
<url><loc>https://scifaro.com/en/abs/on-network-embedding-for-machine-learning-on-road-networks-a-case-study-on-the-danish-road-network-1911.06217</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-network-embedding-for-machine-learning-on-road-networks-a-case-study-on-the-danish-road-network-1911.06217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-network-embedding-for-machine-learning-on-road-networks-a-case-study-on-the-danish-road-network-1911.06217"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-study-between-bayesian-and-frequentist-neural-networks-for-remaining-useful-life-estimation-in-condition-based-maintenance-1911.06256</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-study-between-bayesian-and-frequentist-neural-networks-for-remaining-useful-life-estimation-in-condition-based-maintenance-1911.06256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-study-between-bayesian-and-frequentist-neural-networks-for-remaining-useful-life-estimation-in-condition-based-maintenance-1911.06256"/></url>
<url><loc>https://scifaro.com/en/abs/viwi-a-deep-learning-dataset-framework-for-vision-aided-wireless-communications-1911.06257</loc><lastmod>2020-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/viwi-a-deep-learning-dataset-framework-for-vision-aided-wireless-communications-1911.06257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/viwi-a-deep-learning-dataset-framework-for-vision-aided-wireless-communications-1911.06257"/></url>
<url><loc>https://scifaro.com/en/abs/few-features-attack-to-fool-machine-learning-models-through-mask-based-gan-1911.06269</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-features-attack-to-fool-machine-learning-models-through-mask-based-gan-1911.06269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-features-attack-to-fool-machine-learning-models-through-mask-based-gan-1911.06269"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-for-healthcare-informatics-1911.06270</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-for-healthcare-informatics-1911.06270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-for-healthcare-informatics-1911.06270"/></url>
<url><loc>https://scifaro.com/en/abs/domaingan-generating-adversarial-examples-to-attack-domain-generation-algorithm-classifiers-1911.06285</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domaingan-generating-adversarial-examples-to-attack-domain-generation-algorithm-classifiers-1911.06285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domaingan-generating-adversarial-examples-to-attack-domain-generation-algorithm-classifiers-1911.06285"/></url>
<url><loc>https://scifaro.com/en/abs/gradientless-descent-high-dimensional-zeroth-order-optimization-1911.06317</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradientless-descent-high-dimensional-zeroth-order-optimization-1911.06317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradientless-descent-high-dimensional-zeroth-order-optimization-1911.06317"/></url>
<url><loc>https://scifaro.com/en/abs/the-canonical-distortion-measure-for-vector-quantization-and-function-approximation-1911.06319</loc><lastmod>2019-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-canonical-distortion-measure-for-vector-quantization-and-function-approximation-1911.06319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-canonical-distortion-measure-for-vector-quantization-and-function-approximation-1911.06319"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-textual-data-predicting-drug-drug-interactions-from-molecular-structure-images-using-siamese-neural-networks-1911.06356</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-textual-data-predicting-drug-drug-interactions-from-molecular-structure-images-using-siamese-neural-networks-1911.06356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-textual-data-predicting-drug-drug-interactions-from-molecular-structure-images-using-siamese-neural-networks-1911.06356"/></url>
<url><loc>https://scifaro.com/en/abs/seq-u-net-a-one-dimensional-causal-u-net-for-efficient-sequence-modelling-1911.06393</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seq-u-net-a-one-dimensional-causal-u-net-for-efficient-sequence-modelling-1911.06393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seq-u-net-a-one-dimensional-causal-u-net-for-efficient-sequence-modelling-1911.06393"/></url>
<url><loc>https://scifaro.com/en/abs/mining-news-events-from-comparable-news-corpora-a-multi-attribute-proximity-network-modeling-approach-1911.06407</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-news-events-from-comparable-news-corpora-a-multi-attribute-proximity-network-modeling-approach-1911.06407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-news-events-from-comparable-news-corpora-a-multi-attribute-proximity-network-modeling-approach-1911.06407"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-ehr-timeseries-by-restricting-feature-interaction-1911.06410</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-ehr-timeseries-by-restricting-feature-interaction-1911.06410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-ehr-timeseries-by-restricting-feature-interaction-1911.06410"/></url>
<url><loc>https://scifaro.com/en/abs/synthetic-event-time-series-health-data-generation-1911.06411</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthetic-event-time-series-health-data-generation-1911.06411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthetic-event-time-series-health-data-generation-1911.06411"/></url>
<url><loc>https://scifaro.com/en/abs/caster-predicting-drug-interactions-with-chemical-substructure-representation-1911.06446</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/caster-predicting-drug-interactions-with-chemical-substructure-representation-1911.06446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/caster-predicting-drug-interactions-with-chemical-substructure-representation-1911.06446"/></url>
<url><loc>https://scifaro.com/en/abs/graph-transformer-networks-1911.06455</loc><lastmod>2020-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-transformer-networks-1911.06455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-transformer-networks-1911.06455"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-mini-batch-size-selection-for-fast-gradient-descent-1911.06459</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-mini-batch-size-selection-for-fast-gradient-descent-1911.06459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-mini-batch-size-selection-for-fast-gradient-descent-1911.06459"/></url>
<url><loc>https://scifaro.com/en/abs/ell-infty-vector-contraction-for-rademacher-complexity-1911.06468</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ell-infty-vector-contraction-for-rademacher-complexity-1911.06468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ell-infty-vector-contraction-for-rademacher-complexity-1911.06468"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-adversarial-training-1911.06470</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-adversarial-training-1911.06470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-adversarial-training-1911.06470"/></url>
<url><loc>https://scifaro.com/en/abs/ascai-adaptive-sampling-for-acquiring-compact-ai-1911.06471</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ascai-adaptive-sampling-for-acquiring-compact-ai-1911.06471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ascai-adaptive-sampling-for-acquiring-compact-ai-1911.06471"/></url>
<url><loc>https://scifaro.com/en/abs/explicit-blurred-memory-network-for-analyzing-patient-electronic-health-records-1911.06472</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explicit-blurred-memory-network-for-analyzing-patient-electronic-health-records-1911.06472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explicit-blurred-memory-network-for-analyzing-patient-electronic-health-records-1911.06472"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-recommendation-with-relation-aware-kernelized-self-attention-1911.06478</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-recommendation-with-relation-aware-kernelized-self-attention-1911.06478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-recommendation-with-relation-aware-kernelized-self-attention-1911.06478"/></url>
<url><loc>https://scifaro.com/en/abs/on-model-robustness-against-adversarial-examples-1911.06479</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-model-robustness-against-adversarial-examples-1911.06479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-model-robustness-against-adversarial-examples-1911.06479"/></url>
<url><loc>https://scifaro.com/en/abs/libre-learning-interpretable-boolean-rule-ensembles-1911.06537</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/libre-learning-interpretable-boolean-rule-ensembles-1911.06537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/libre-learning-interpretable-boolean-rule-ensembles-1911.06537"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-learning-with-deep-forest-1911.06557</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-learning-with-deep-forest-1911.06557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-learning-with-deep-forest-1911.06557"/></url>
<url><loc>https://scifaro.com/en/abs/position-paper-towards-transparent-machine-learning-1911.06612</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/position-paper-towards-transparent-machine-learning-1911.06612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/position-paper-towards-transparent-machine-learning-1911.06612"/></url>
<url><loc>https://scifaro.com/en/abs/long-range-prediction-of-vital-signs-using-generative-boosting-via-lstm-networks-1911.06621</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-range-prediction-of-vital-signs-using-generative-boosting-via-lstm-networks-1911.06621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-range-prediction-of-vital-signs-using-generative-boosting-via-lstm-networks-1911.06621"/></url>
<url><loc>https://scifaro.com/en/abs/forgetting-to-learn-logic-programs-1911.06643</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forgetting-to-learn-logic-programs-1911.06643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forgetting-to-learn-logic-programs-1911.06643"/></url>
<url><loc>https://scifaro.com/en/abs/mmgan-generative-adversarial-networks-for-multi-modal-distributions-1911.06663</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mmgan-generative-adversarial-networks-for-multi-modal-distributions-1911.06663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mmgan-generative-adversarial-networks-for-multi-modal-distributions-1911.06663"/></url>
<url><loc>https://scifaro.com/en/abs/generative-models-for-effective-ml-on-private-decentralized-datasets-1911.06679</loc><lastmod>2020-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-models-for-effective-ml-on-private-decentralized-datasets-1911.06679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-models-for-effective-ml-on-private-decentralized-datasets-1911.06679"/></url>
<url><loc>https://scifaro.com/en/abs/penalized-k-means-algorithms-for-finding-the-correct-number-of-clusters-in-a-dataset-1911.06741</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/penalized-k-means-algorithms-for-finding-the-correct-number-of-clusters-in-a-dataset-1911.06741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/penalized-k-means-algorithms-for-finding-the-correct-number-of-clusters-in-a-dataset-1911.06741"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-attributed-multiplex-network-embedding-1911.06750</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-attributed-multiplex-network-embedding-1911.06750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-attributed-multiplex-network-embedding-1911.06750"/></url>
<url><loc>https://scifaro.com/en/abs/tinycnn-a-tiny-modular-cnn-accelerator-for-embedded-fpga-1911.06777</loc><lastmod>2019-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tinycnn-a-tiny-modular-cnn-accelerator-for-embedded-fpga-1911.06777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tinycnn-a-tiny-modular-cnn-accelerator-for-embedded-fpga-1911.06777"/></url>
<url><loc>https://scifaro.com/en/abs/data-efficient-stagewise-knowledge-distillation-1911.06786</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-efficient-stagewise-knowledge-distillation-1911.06786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-efficient-stagewise-knowledge-distillation-1911.06786"/></url>
<url><loc>https://scifaro.com/en/abs/non-monotone-submodular-maximization-with-multiple-knapsacks-in-static-and-dynamic-settings-1911.06791</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-monotone-submodular-maximization-with-multiple-knapsacks-in-static-and-dynamic-settings-1911.06791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-monotone-submodular-maximization-with-multiple-knapsacks-in-static-and-dynamic-settings-1911.06791"/></url>
<url><loc>https://scifaro.com/en/abs/data-efficient-co-adaptation-of-morphology-and-behaviour-with-deep-reinforcement-learning-1911.06832</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-efficient-co-adaptation-of-morphology-and-behaviour-with-deep-reinforcement-learning-1911.06832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-efficient-co-adaptation-of-morphology-and-behaviour-with-deep-reinforcement-learning-1911.06832"/></url>
<url><loc>https://scifaro.com/en/abs/improved-exploration-through-latent-trajectory-optimization-in-deep-deterministic-policy-gradient-1911.06833</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-exploration-through-latent-trajectory-optimization-in-deep-deterministic-policy-gradient-1911.06833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-exploration-through-latent-trajectory-optimization-in-deep-deterministic-policy-gradient-1911.06833"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-modeling-and-equilibria-in-fair-decision-making-1911.06837</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-modeling-and-equilibria-in-fair-decision-making-1911.06837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-modeling-and-equilibria-in-fair-decision-making-1911.06837"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-study-of-off-policy-policy-evaluation-for-reinforcement-learning-1911.06854</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-study-of-off-policy-policy-evaluation-for-reinforcement-learning-1911.06854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-study-of-off-policy-policy-evaluation-for-reinforcement-learning-1911.06854"/></url>
<url><loc>https://scifaro.com/en/abs/explanatory-masks-for-neural-network-interpretability-1911.06876</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explanatory-masks-for-neural-network-interpretability-1911.06876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explanatory-masks-for-neural-network-interpretability-1911.06876"/></url>
<url><loc>https://scifaro.com/en/abs/query-complexity-of-bayesian-private-learning-1911.06903</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/query-complexity-of-bayesian-private-learning-1911.06903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/query-complexity-of-bayesian-private-learning-1911.06903"/></url>
<url><loc>https://scifaro.com/en/abs/coupling-matrix-manifolds-and-their-applications-in-optimal-transport-1911.06905</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupling-matrix-manifolds-and-their-applications-in-optimal-transport-1911.06905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupling-matrix-manifolds-and-their-applications-in-optimal-transport-1911.06905"/></url>
<url><loc>https://scifaro.com/en/abs/benanza-automatic-mu-benchmark-generation-to-compute-lower-bound-latency-and-inform-optimizations-of-deep-learning-models-on-gpus-1911.06922</loc><lastmod>2020-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benanza-automatic-mu-benchmark-generation-to-compute-lower-bound-latency-and-inform-optimizations-of-deep-learning-models-on-gpus-1911.06922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benanza-automatic-mu-benchmark-generation-to-compute-lower-bound-latency-and-inform-optimizations-of-deep-learning-models-on-gpus-1911.06922"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-maximum-causal-entropy-for-inverse-reinforcement-learning-1911.06928</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-maximum-causal-entropy-for-inverse-reinforcement-learning-1911.06928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-maximum-causal-entropy-for-inverse-reinforcement-learning-1911.06928"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-reinforcement-learning-with-missing-data-1911.06930</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-with-missing-data-1911.06930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-with-missing-data-1911.06930"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-with-minimal-harm-a-pareto-optimal-approach-for-healthcare-1911.06935</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-with-minimal-harm-a-pareto-optimal-approach-for-healthcare-1911.06935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-with-minimal-harm-a-pareto-optimal-approach-for-healthcare-1911.06935"/></url>
<url><loc>https://scifaro.com/en/abs/dc-2-a-divide-and-conquer-algorithm-for-large-scale-kernel-learning-with-application-to-clustering-1911.06944</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dc-2-a-divide-and-conquer-algorithm-for-large-scale-kernel-learning-with-application-to-clustering-1911.06944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dc-2-a-divide-and-conquer-algorithm-for-large-scale-kernel-learning-with-application-to-clustering-1911.06944"/></url>
<url><loc>https://scifaro.com/en/abs/learning-behavioral-representations-from-wearable-sensors-1911.06959</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-behavioral-representations-from-wearable-sensors-1911.06959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-behavioral-representations-from-wearable-sensors-1911.06959"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-relation-prediction-by-subgraph-reasoning-1911.06962</loc><lastmod>2020-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-relation-prediction-by-subgraph-reasoning-1911.06962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-relation-prediction-by-subgraph-reasoning-1911.06962"/></url>
<url><loc>https://scifaro.com/en/abs/an-outside-the-box-solution-for-imbalanced-data-classification-1911.06965</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-outside-the-box-solution-for-imbalanced-data-classification-1911.06965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-outside-the-box-solution-for-imbalanced-data-classification-1911.06965"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-policy-gradient-algorithms-by-constraining-the-state-distribution-shift-1911.06970</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-policy-gradient-algorithms-by-constraining-the-state-distribution-shift-1911.06970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-policy-gradient-algorithms-by-constraining-the-state-distribution-shift-1911.06970"/></url>
<url><loc>https://scifaro.com/en/abs/vluc-an-empirical-benchmark-for-video-like-urban-computing-on-citywide-crowd-and-traffic-prediction-1911.06982</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vluc-an-empirical-benchmark-for-video-like-urban-computing-on-citywide-crowd-and-traffic-prediction-1911.06982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vluc-an-empirical-benchmark-for-video-like-urban-computing-on-citywide-crowd-and-traffic-prediction-1911.06982"/></url>
<url><loc>https://scifaro.com/en/abs/selective-sampling-for-accelerating-training-of-deep-neural-networks-1911.06996</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-sampling-for-accelerating-training-of-deep-neural-networks-1911.06996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-sampling-for-accelerating-training-of-deep-neural-networks-1911.06996"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-improving-layer-normalization-1911.07013</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-improving-layer-normalization-1911.07013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-improving-layer-normalization-1911.07013"/></url>
<url><loc>https://scifaro.com/en/abs/what-will-your-child-look-like-dna-net-age-and-gender-aware-kin-face-synthesizer-1911.07014</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-will-your-child-look-like-dna-net-age-and-gender-aware-kin-face-synthesizer-1911.07014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-will-your-child-look-like-dna-net-age-and-gender-aware-kin-face-synthesizer-1911.07014"/></url>
<url><loc>https://scifaro.com/en/abs/suspicion-free-adversarial-attacks-on-clustering-algorithms-1911.07015</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/suspicion-free-adversarial-attacks-on-clustering-algorithms-1911.07015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/suspicion-free-adversarial-attacks-on-clustering-algorithms-1911.07015"/></url>
<url><loc>https://scifaro.com/en/abs/on-value-discrepancy-of-imitation-learning-1911.07027</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-value-discrepancy-of-imitation-learning-1911.07027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-value-discrepancy-of-imitation-learning-1911.07027"/></url>
<url><loc>https://scifaro.com/en/abs/missingness-as-stability-understanding-the-structure-of-missingness-in-longitudinal-ehr-data-and-its-impact-on-reinforcement-learning-in-healthcare-1911.07084</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/missingness-as-stability-understanding-the-structure-of-missingness-in-longitudinal-ehr-data-and-its-impact-on-reinforcement-learning-in-healthcare-1911.07084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/missingness-as-stability-understanding-the-structure-of-missingness-in-longitudinal-ehr-data-and-its-impact-on-reinforcement-learning-in-healthcare-1911.07084"/></url>
<url><loc>https://scifaro.com/en/abs/glyph-fast-and-accurately-training-deep-neural-networks-on-encrypted-data-1911.07101</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/glyph-fast-and-accurately-training-deep-neural-networks-on-encrypted-data-1911.07101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/glyph-fast-and-accurately-training-deep-neural-networks-on-encrypted-data-1911.07101"/></url>
<url><loc>https://scifaro.com/en/abs/rsm-gan-a-convolutional-recurrent-gan-for-anomaly-detection-in-contaminated-seasonal-multivariate-time-series-1911.07104</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rsm-gan-a-convolutional-recurrent-gan-for-anomaly-detection-in-contaminated-seasonal-multivariate-time-series-1911.07104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rsm-gan-a-convolutional-recurrent-gan-for-anomaly-detection-in-contaminated-seasonal-multivariate-time-series-1911.07104"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-from-imperfect-demonstrations-under-soft-expert-guidance-1911.07109</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-from-imperfect-demonstrations-under-soft-expert-guidance-1911.07109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-from-imperfect-demonstrations-under-soft-expert-guidance-1911.07109"/></url>
<url><loc>https://scifaro.com/en/abs/robust-anomaly-detection-and-backdoor-attack-detection-via-differential-privacy-1911.07116</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-anomaly-detection-and-backdoor-attack-detection-via-differential-privacy-1911.07116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-anomaly-detection-and-backdoor-attack-detection-via-differential-privacy-1911.07116"/></url>
<url><loc>https://scifaro.com/en/abs/graph-revised-convolutional-network-1911.07123</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-revised-convolutional-network-1911.07123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-revised-convolutional-network-1911.07123"/></url>
<url><loc>https://scifaro.com/en/abs/scalability-vs-utility-do-we-have-to-sacrifice-one-for-the-other-in-data-importance-quantification-1911.07128</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalability-vs-utility-do-we-have-to-sacrifice-one-for-the-other-in-data-importance-quantification-1911.07128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalability-vs-utility-do-we-have-to-sacrifice-one-for-the-other-in-data-importance-quantification-1911.07128"/></url>
<url><loc>https://scifaro.com/en/abs/interstellar-searching-recurrent-architecture-for-knowledge-graph-embedding-1911.07132</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interstellar-searching-recurrent-architecture-for-knowledge-graph-embedding-1911.07132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interstellar-searching-recurrent-architecture-for-knowledge-graph-embedding-1911.07132"/></url>
<url><loc>https://scifaro.com/en/abs/the-secret-revealer-generative-model-inversion-attacks-against-deep-neural-networks-1911.07135</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-secret-revealer-generative-model-inversion-attacks-against-deep-neural-networks-1911.07135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-secret-revealer-generative-model-inversion-attacks-against-deep-neural-networks-1911.07135"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-adversarial-attack-with-transferable-model-based-embedding-1911.07140</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-adversarial-attack-with-transferable-model-based-embedding-1911.07140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-adversarial-attack-with-transferable-model-based-embedding-1911.07140"/></url>
<url><loc>https://scifaro.com/en/abs/working-memory-graphs-1911.07141</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/working-memory-graphs-1911.07141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/working-memory-graphs-1911.07141"/></url>
<url><loc>https://scifaro.com/en/abs/causality-based-feature-selection-methods-and-evaluations-1911.07147</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causality-based-feature-selection-methods-and-evaluations-1911.07147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causality-based-feature-selection-methods-and-evaluations-1911.07147"/></url>
<url><loc>https://scifaro.com/en/abs/loss-aware-post-training-quantization-1911.07190</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-aware-post-training-quantization-1911.07190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-aware-post-training-quantization-1911.07190"/></url>
<url><loc>https://scifaro.com/en/abs/smoothed-inference-for-adversarially-trained-models-1911.07198</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothed-inference-for-adversarially-trained-models-1911.07198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothed-inference-for-adversarially-trained-models-1911.07198"/></url>
<url><loc>https://scifaro.com/en/abs/prototypical-networks-for-multi-label-learning-1911.07203</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prototypical-networks-for-multi-label-learning-1911.07203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prototypical-networks-for-multi-label-learning-1911.07203"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-trajectories-via-subgoal-discovery-1911.07224</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-trajectories-via-subgoal-discovery-1911.07224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-trajectories-via-subgoal-discovery-1911.07224"/></url>
<url><loc>https://scifaro.com/en/abs/encouraging-an-appropriate-representation-simplifies-training-of-neural-networks-1911.07245</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encouraging-an-appropriate-representation-simplifies-training-of-neural-networks-1911.07245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encouraging-an-appropriate-representation-simplifies-training-of-neural-networks-1911.07245"/></url>
<url><loc>https://scifaro.com/en/abs/hebbian-synaptic-modifications-in-spiking-neurons-that-learn-1911.07247</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hebbian-synaptic-modifications-in-spiking-neurons-that-learn-1911.07247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hebbian-synaptic-modifications-in-spiking-neurons-that-learn-1911.07247"/></url>
<url><loc>https://scifaro.com/en/abs/the-proper-care-and-feeding-of-camels-how-limited-training-data-affects-streamflow-prediction-1911.07249</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-proper-care-and-feeding-of-camels-how-limited-training-data-affects-streamflow-prediction-1911.07249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-proper-care-and-feeding-of-camels-how-limited-training-data-affects-streamflow-prediction-1911.07249"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-geometric-matrix-completion-1911.07255</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-geometric-matrix-completion-1911.07255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-geometric-matrix-completion-1911.07255"/></url>
<url><loc>https://scifaro.com/en/abs/two-efficient-ridge-solutions-for-the-incremental-broad-learning-system-on-added-inputs-1911.07292</loc><lastmod>2023-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-efficient-ridge-solutions-for-the-incremental-broad-learning-system-on-added-inputs-1911.07292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-efficient-ridge-solutions-for-the-incremental-broad-learning-system-on-added-inputs-1911.07292"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-unsupervised-domain-adaptation-for-medical-image-diagnosis-1911.07293</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-unsupervised-domain-adaptation-for-medical-image-diagnosis-1911.07293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-unsupervised-domain-adaptation-for-medical-image-diagnosis-1911.07293"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotics-of-reinforcement-learning-with-neural-networks-1911.07304</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotics-of-reinforcement-learning-with-neural-networks-1911.07304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotics-of-reinforcement-learning-with-neural-networks-1911.07304"/></url>
<url><loc>https://scifaro.com/en/abs/coverage-testing-of-deep-learning-models-using-dataset-characterization-1911.07309</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coverage-testing-of-deep-learning-models-using-dataset-characterization-1911.07309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coverage-testing-of-deep-learning-models-using-dataset-characterization-1911.07309"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-ell-1-and-ell-2-center-classifiers-1911.07320</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-ell-1-and-ell-2-center-classifiers-1911.07320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-ell-1-and-ell-2-center-classifiers-1911.07320"/></url>
<url><loc>https://scifaro.com/en/abs/layer-dependent-importance-sampling-for-training-deep-and-large-graph-convolutional-networks-1911.07323</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layer-dependent-importance-sampling-for-training-deep-and-large-graph-convolutional-networks-1911.07323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layer-dependent-importance-sampling-for-training-deep-and-large-graph-convolutional-networks-1911.07323"/></url>
<url><loc>https://scifaro.com/en/abs/any-precision-deep-neural-networks-1911.07346</loc><lastmod>2021-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/any-precision-deep-neural-networks-1911.07346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/any-precision-deep-neural-networks-1911.07346"/></url>
<url><loc>https://scifaro.com/en/abs/rebalancing-learning-on-evolving-data-streams-1911.07361</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rebalancing-learning-on-evolving-data-streams-1911.07361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rebalancing-learning-on-evolving-data-streams-1911.07361"/></url>
<url><loc>https://scifaro.com/en/abs/justification-based-reliability-in-machine-learning-1911.07391</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/justification-based-reliability-in-machine-learning-1911.07391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/justification-based-reliability-in-machine-learning-1911.07391"/></url>
<url><loc>https://scifaro.com/en/abs/provable-filter-pruning-for-efficient-neural-networks-1911.07412</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-filter-pruning-for-efficient-neural-networks-1911.07412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-filter-pruning-for-efficient-neural-networks-1911.07412"/></url>
<url><loc>https://scifaro.com/en/abs/grassmannian-packings-in-neural-networks-learning-with-maximal-subspace-packings-for-diversity-and-anti-sparsity-1911.07418</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grassmannian-packings-in-neural-networks-learning-with-maximal-subspace-packings-for-diversity-and-anti-sparsity-1911.07418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grassmannian-packings-in-neural-networks-learning-with-maximal-subspace-packings-for-diversity-and-anti-sparsity-1911.07418"/></url>
<url><loc>https://scifaro.com/en/abs/a-graph-autoencoder-approach-to-causal-structure-learning-1911.07420</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-graph-autoencoder-approach-to-causal-structure-learning-1911.07420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-graph-autoencoder-approach-to-causal-structure-learning-1911.07420"/></url>
<url><loc>https://scifaro.com/en/abs/rotationout-as-a-regularization-method-for-neural-network-1911.07427</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rotationout-as-a-regularization-method-for-neural-network-1911.07427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rotationout-as-a-regularization-method-for-neural-network-1911.07427"/></url>
<url><loc>https://scifaro.com/en/abs/nais-neural-architecture-and-implementation-search-and-its-applications-in-autonomous-driving-1911.07446</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nais-neural-architecture-and-implementation-search-and-its-applications-in-autonomous-driving-1911.07446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nais-neural-architecture-and-implementation-search-and-its-applications-in-autonomous-driving-1911.07446"/></url>
<url><loc>https://scifaro.com/en/abs/vulnerability-analysis-for-data-driven-pricing-schemes-1911.07453</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vulnerability-analysis-for-data-driven-pricing-schemes-1911.07453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vulnerability-analysis-for-data-driven-pricing-schemes-1911.07453"/></url>
<url><loc>https://scifaro.com/en/abs/walking-the-tightrope-an-investigation-of-the-convolutional-autoencoder-bottleneck-1911.07460</loc><lastmod>2020-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/walking-the-tightrope-an-investigation-of-the-convolutional-autoencoder-bottleneck-1911.07460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/walking-the-tightrope-an-investigation-of-the-convolutional-autoencoder-bottleneck-1911.07460"/></url>
<url><loc>https://scifaro.com/en/abs/towards-making-deep-transfer-learning-never-hurt-1911.07489</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-making-deep-transfer-learning-never-hurt-1911.07489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-making-deep-transfer-learning-never-hurt-1911.07489"/></url>
<url><loc>https://scifaro.com/en/abs/online-adaptive-asymmetric-active-learning-with-limited-budgets-1911.07498</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-adaptive-asymmetric-active-learning-with-limited-budgets-1911.07498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-adaptive-asymmetric-active-learning-with-limited-budgets-1911.07498"/></url>
<url><loc>https://scifaro.com/en/abs/safe-squeezing-for-antisparse-coding-1911.07508</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-squeezing-for-antisparse-coding-1911.07508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-squeezing-for-antisparse-coding-1911.07508"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-ordinary-differential-equations-1911.07532</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-ordinary-differential-equations-1911.07532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-ordinary-differential-equations-1911.07532"/></url>
<url><loc>https://scifaro.com/en/abs/fast-machine-learning-with-byzantine-workers-and-servers-1911.07537</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-machine-learning-with-byzantine-workers-and-servers-1911.07537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-machine-learning-with-byzantine-workers-and-servers-1911.07537"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-recurrent-framework-for-missing-data-imputation-and-prediction-with-clinical-time-series-1911.07572</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-recurrent-framework-for-missing-data-imputation-and-prediction-with-clinical-time-series-1911.07572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-recurrent-framework-for-missing-data-imputation-and-prediction-with-clinical-time-series-1911.07572"/></url>
<url><loc>https://scifaro.com/en/abs/convex-formulation-of-overparameterized-deep-neural-networks-1911.07626</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-formulation-of-overparameterized-deep-neural-networks-1911.07626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-formulation-of-overparameterized-deep-neural-networks-1911.07626"/></url>
<url><loc>https://scifaro.com/en/abs/influence-aware-memory-architectures-for-deep-reinforcement-learning-1911.07643</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/influence-aware-memory-architectures-for-deep-reinforcement-learning-1911.07643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/influence-aware-memory-architectures-for-deep-reinforcement-learning-1911.07643"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-perspective-of-federated-learning-1911.07652</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-perspective-of-federated-learning-1911.07652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-perspective-of-federated-learning-1911.07652"/></url>
<url><loc>https://scifaro.com/en/abs/the-similarity-consensus-regularized-multi-view-learning-for-dimension-reduction-1911.07656</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-similarity-consensus-regularized-multi-view-learning-for-dimension-reduction-1911.07656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-similarity-consensus-regularized-multi-view-learning-for-dimension-reduction-1911.07656"/></url>
<url><loc>https://scifaro.com/en/abs/gralsp-graph-neural-networks-with-local-structural-patterns-1911.07675</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gralsp-graph-neural-networks-with-local-structural-patterns-1911.07675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gralsp-graph-neural-networks-with-local-structural-patterns-1911.07675"/></url>
<url><loc>https://scifaro.com/en/abs/towards-quantification-of-bias-in-machine-learning-for-healthcare-a-case-study-of-renal-failure-prediction-1911.07679</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-quantification-of-bias-in-machine-learning-for-healthcare-a-case-study-of-renal-failure-prediction-1911.07679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-quantification-of-bias-in-machine-learning-for-healthcare-a-case-study-of-renal-failure-prediction-1911.07679"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-ensemble-adversarial-attack-powered-by-long-term-gradient-memories-1911.07682</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-ensemble-adversarial-attack-powered-by-long-term-gradient-memories-1911.07682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-ensemble-adversarial-attack-powered-by-long-term-gradient-memories-1911.07682"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-task-gradient-descent-method-for-multi-label-learning-1911.07693</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-task-gradient-descent-method-for-multi-label-learning-1911.07693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-task-gradient-descent-method-for-multi-label-learning-1911.07693"/></url>
<url><loc>https://scifaro.com/en/abs/an-explanation-method-for-siamese-neural-networks-1911.07702</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-explanation-method-for-siamese-neural-networks-1911.07702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-explanation-method-for-siamese-neural-networks-1911.07702"/></url>
<url><loc>https://scifaro.com/en/abs/feedback-control-for-online-training-of-neural-networks-1911.07710</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feedback-control-for-online-training-of-neural-networks-1911.07710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feedback-control-for-online-training-of-neural-networks-1911.07710"/></url>
<url><loc>https://scifaro.com/en/abs/the-effectiveness-of-variational-autoencoders-for-active-learning-1911.07716</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effectiveness-of-variational-autoencoders-for-active-learning-1911.07716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effectiveness-of-variational-autoencoders-for-active-learning-1911.07716"/></url>
<url><loc>https://scifaro.com/en/abs/program-synthesis-performance-constrained-by-non-linear-spatial-relations-in-synthetic-visual-reasoning-test-1911.07721</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/program-synthesis-performance-constrained-by-non-linear-spatial-relations-in-synthetic-visual-reasoning-test-1911.07721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/program-synthesis-performance-constrained-by-non-linear-spatial-relations-in-synthetic-visual-reasoning-test-1911.07721"/></url>
<url><loc>https://scifaro.com/en/abs/syscd-a-system-aware-parallel-coordinate-descent-algorithm-1911.07722</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/syscd-a-system-aware-parallel-coordinate-descent-algorithm-1911.07722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/syscd-a-system-aware-parallel-coordinate-descent-algorithm-1911.07722"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-computation-of-counterfactual-explanations-a-survey-1911.07749</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-computation-of-counterfactual-explanations-a-survey-1911.07749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-computation-of-counterfactual-explanations-a-survey-1911.07749"/></url>
<url><loc>https://scifaro.com/en/abs/gamma-nets-generalizing-value-estimation-over-timescale-1911.07794</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gamma-nets-generalizing-value-estimation-over-timescale-1911.07794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gamma-nets-generalizing-value-estimation-over-timescale-1911.07794"/></url>
<url><loc>https://scifaro.com/en/abs/binary-sine-cosine-algorithms-for-feature-selection-from-medical-data-1911.07805</loc><lastmod>2019-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-sine-cosine-algorithms-for-feature-selection-from-medical-data-1911.07805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-sine-cosine-algorithms-for-feature-selection-from-medical-data-1911.07805"/></url>
<url><loc>https://scifaro.com/en/abs/periodic-spectral-ergodicity-a-complexity-measure-for-deep-neural-networks-and-neural-architecture-search-1911.07831</loc><lastmod>2020-05-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/periodic-spectral-ergodicity-a-complexity-measure-for-deep-neural-networks-and-neural-architecture-search-1911.07831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/periodic-spectral-ergodicity-a-complexity-measure-for-deep-neural-networks-and-neural-architecture-search-1911.07831"/></url>
<url><loc>https://scifaro.com/en/abs/neural-random-subspace-1911.07845</loc><lastmod>2020-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-random-subspace-1911.07845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-random-subspace-1911.07845"/></url>
<url><loc>https://scifaro.com/en/abs/rwne-a-scalable-random-walk-based-network-embedding-framework-with-personalized-higher-order-proximity-preserved-1911.07874</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rwne-a-scalable-random-walk-based-network-embedding-framework-with-personalized-higher-order-proximity-preserved-1911.07874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rwne-a-scalable-random-walk-based-network-embedding-framework-with-personalized-higher-order-proximity-preserved-1911.07874"/></url>
<url><loc>https://scifaro.com/en/abs/attribute-noise-robust-binary-classification-1911.07875</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attribute-noise-robust-binary-classification-1911.07875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attribute-noise-robust-binary-classification-1911.07875"/></url>
<url><loc>https://scifaro.com/en/abs/basic-principles-of-clustering-methods-1911.07891</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/basic-principles-of-clustering-methods-1911.07891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/basic-principles-of-clustering-methods-1911.07891"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-knowledge-graph-embedding-model-based-on-additive-time-series-decomposition-1911.07893</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-knowledge-graph-embedding-model-based-on-additive-time-series-decomposition-1911.07893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-knowledge-graph-embedding-model-based-on-additive-time-series-decomposition-1911.07893"/></url>
<url><loc>https://scifaro.com/en/abs/comments-on-the-du-kakade-wang-yang-lower-bounds-1911.07910</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comments-on-the-du-kakade-wang-yang-lower-bounds-1911.07910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comments-on-the-du-kakade-wang-yang-lower-bounds-1911.07910"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-leakage-avoidance-with-switching-ensembles-1911.07921</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-leakage-avoidance-with-switching-ensembles-1911.07921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-leakage-avoidance-with-switching-ensembles-1911.07921"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-regularization-and-convergence-for-weight-normalization-1911.07956</loc><lastmod>2022-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-regularization-and-convergence-for-weight-normalization-1911.07956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-regularization-and-convergence-for-weight-normalization-1911.07956"/></url>
<url><loc>https://scifaro.com/en/abs/can-you-really-backdoor-federated-learning-1911.07963</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-you-really-backdoor-federated-learning-1911.07963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-you-really-backdoor-federated-learning-1911.07963"/></url>
<url><loc>https://scifaro.com/en/abs/eigenvalue-normalized-recurrent-neural-networks-for-short-term-memory-1911.07964</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigenvalue-normalized-recurrent-neural-networks-for-short-term-memory-1911.07964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigenvalue-normalized-recurrent-neural-networks-for-short-term-memory-1911.07964"/></url>
<url><loc>https://scifaro.com/en/abs/dlbricks-composable-benchmark-generation-to-reduce-deep-learning-benchmarking-effort-on-cpus-extended-1911.07967</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dlbricks-composable-benchmark-generation-to-reduce-deep-learning-benchmarking-effort-on-cpus-extended-1911.07967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dlbricks-composable-benchmark-generation-to-reduce-deep-learning-benchmarking-effort-on-cpus-extended-1911.07967"/></url>
<url><loc>https://scifaro.com/en/abs/revealing-perceptible-backdoors-without-the-training-set-via-the-maximum-achievable-misclassification-fraction-statistic-1911.07970</loc><lastmod>2023-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revealing-perceptible-backdoors-without-the-training-set-via-the-maximum-achievable-misclassification-fraction-statistic-1911.07970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revealing-perceptible-backdoors-without-the-training-set-via-the-maximum-achievable-misclassification-fraction-statistic-1911.07970"/></url>
<url><loc>https://scifaro.com/en/abs/vqsgd-vector-quantized-stochastic-gradient-descent-1911.07971</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vqsgd-vector-quantized-stochastic-gradient-descent-1911.07971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vqsgd-vector-quantized-stochastic-gradient-descent-1911.07971"/></url>
<url><loc>https://scifaro.com/en/abs/asap-adaptive-structure-aware-pooling-for-learning-hierarchical-graph-representations-1911.07979</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asap-adaptive-structure-aware-pooling-for-learning-hierarchical-graph-representations-1911.07979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asap-adaptive-structure-aware-pooling-for-learning-hierarchical-graph-representations-1911.07979"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-domain-adaptation-via-structured-prediction-based-selective-pseudo-labeling-1911.07982</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-via-structured-prediction-based-selective-pseudo-labeling-1911.07982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-via-structured-prediction-based-selective-pseudo-labeling-1911.07982"/></url>
<url><loc>https://scifaro.com/en/abs/learning-permutation-invariant-representations-using-memory-networks-1911.07984</loc><lastmod>2020-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-permutation-invariant-representations-using-memory-networks-1911.07984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-permutation-invariant-representations-using-memory-networks-1911.07984"/></url>
<url><loc>https://scifaro.com/en/abs/witchcraft-efficient-pgd-attacks-with-random-step-size-1911.07989</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/witchcraft-efficient-pgd-attacks-with-random-step-size-1911.07989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/witchcraft-efficient-pgd-attacks-with-random-step-size-1911.07989"/></url>
<url><loc>https://scifaro.com/en/abs/attack-on-grid-event-cause-analysis-an-adversarial-machine-learning-approach-1911.08011</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attack-on-grid-event-cause-analysis-an-adversarial-machine-learning-approach-1911.08011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attack-on-grid-event-cause-analysis-an-adversarial-machine-learning-approach-1911.08011"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-generative-modeling-for-efficient-exploration-1911.08017</loc><lastmod>2020-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-generative-modeling-for-efficient-exploration-1911.08017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-generative-modeling-for-efficient-exploration-1911.08017"/></url>
<url><loc>https://scifaro.com/en/abs/online-learned-continual-compression-with-adaptive-quantization-modules-1911.08019</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learned-continual-compression-with-adaptive-quantization-modules-1911.08019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learned-continual-compression-with-adaptive-quantization-modules-1911.08019"/></url>
<url><loc>https://scifaro.com/en/abs/darb-a-density-aware-regular-block-pruning-for-deep-neural-networks-1911.08020</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/darb-a-density-aware-regular-block-pruning-for-deep-neural-networks-1911.08020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/darb-a-density-aware-regular-block-pruning-for-deep-neural-networks-1911.08020"/></url>
<url><loc>https://scifaro.com/en/abs/a-bias-trick-for-centered-robust-principal-component-analysis-1911.08024</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bias-trick-for-centered-robust-principal-component-analysis-1911.08024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bias-trick-for-centered-robust-principal-component-analysis-1911.08024"/></url>
<url><loc>https://scifaro.com/en/abs/driver-identification-based-on-vehicle-telematics-data-using-lstm-recurrent-neural-network-1911.08030</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/driver-identification-based-on-vehicle-telematics-data-using-lstm-recurrent-neural-network-1911.08030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/driver-identification-based-on-vehicle-telematics-data-using-lstm-recurrent-neural-network-1911.08030"/></url>
<url><loc>https://scifaro.com/en/abs/carpe-diem-seize-the-samples-uncertain-at-the-moment-for-adaptive-batch-selection-1911.08050</loc><lastmod>2020-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/carpe-diem-seize-the-samples-uncertain-at-the-moment-for-adaptive-batch-selection-1911.08050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/carpe-diem-seize-the-samples-uncertain-at-the-moment-for-adaptive-batch-selection-1911.08050"/></url>
<url><loc>https://scifaro.com/en/abs/policy-gradient-training-of-fair-and-unbiased-ranking-functions-1911.08054</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-gradient-training-of-fair-and-unbiased-ranking-functions-1911.08054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-gradient-training-of-fair-and-unbiased-ranking-functions-1911.08054"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-pressure-hessian-from-local-velocity-gradients-information-in-an-incompressible-turbulent-flow-field-using-deep-neural-networks-1911.08056</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-pressure-hessian-from-local-velocity-gradients-information-in-an-incompressible-turbulent-flow-field-using-deep-neural-networks-1911.08056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-pressure-hessian-from-local-velocity-gradients-information-in-an-incompressible-turbulent-flow-field-using-deep-neural-networks-1911.08056"/></url>
<url><loc>https://scifaro.com/en/abs/how-does-early-stopping-help-generalization-against-label-noise-1911.08059</loc><lastmod>2020-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-does-early-stopping-help-generalization-against-label-noise-1911.08059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-does-early-stopping-help-generalization-against-label-noise-1911.08059"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-activation-network-and-functional-regularization-for-efficient-and-flexible-deep-multi-task-learning-1911.08065</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-activation-network-and-functional-regularization-for-efficient-and-flexible-deep-multi-task-learning-1911.08065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-activation-network-and-functional-regularization-for-efficient-and-flexible-deep-multi-task-learning-1911.08065"/></url>
<url><loc>https://scifaro.com/en/abs/fuzzy-tiling-activations-a-simple-approach-to-learning-sparse-representations-online-1911.08068</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fuzzy-tiling-activations-a-simple-approach-to-learning-sparse-representations-online-1911.08068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fuzzy-tiling-activations-a-simple-approach-to-learning-sparse-representations-online-1911.08068"/></url>
<url><loc>https://scifaro.com/en/abs/thick-net-parallel-network-structure-for-sequential-modeling-1911.08074</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thick-net-parallel-network-structure-for-sequential-modeling-1911.08074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thick-net-parallel-network-structure-for-sequential-modeling-1911.08074"/></url>
<url><loc>https://scifaro.com/en/abs/partial-auc-optimization-based-deep-speaker-embeddings-with-class-center-learning-for-text-independent-speaker-verification-1911.08077</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-auc-optimization-based-deep-speaker-embeddings-with-class-center-learning-for-text-independent-speaker-verification-1911.08077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-auc-optimization-based-deep-speaker-embeddings-with-class-center-learning-for-text-independent-speaker-verification-1911.08077"/></url>
<url><loc>https://scifaro.com/en/abs/deep-detector-health-management-under-adversarial-campaigns-1911.08090</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-detector-health-management-under-adversarial-campaigns-1911.08090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-detector-health-management-under-adversarial-campaigns-1911.08090"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-routing-between-capsules-1911.08119</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-routing-between-capsules-1911.08119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-routing-between-capsules-1911.08119"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-generative-adversarial-net-1911.08128</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-generative-adversarial-net-1911.08128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-generative-adversarial-net-1911.08128"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-local-minima-characterization-and-regularization-1911.08192</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-local-minima-characterization-and-regularization-1911.08192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-local-minima-characterization-and-regularization-1911.08192"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-mode-estimation-with-oracle-queries-1911.08197</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-mode-estimation-with-oracle-queries-1911.08197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-mode-estimation-with-oracle-queries-1911.08197"/></url>
<url><loc>https://scifaro.com/en/abs/on-performance-estimation-in-automatic-algorithm-configuration-1911.08200</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-performance-estimation-in-automatic-algorithm-configuration-1911.08200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-performance-estimation-in-automatic-algorithm-configuration-1911.08200"/></url>
<url><loc>https://scifaro.com/en/abs/survival-and-neural-models-for-private-equity-exit-prediction-1911.08201</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survival-and-neural-models-for-private-equity-exit-prediction-1911.08201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survival-and-neural-models-for-private-equity-exit-prediction-1911.08201"/></url>
<url><loc>https://scifaro.com/en/abs/ic-network-efficient-structure-for-convolutional-neural-networks-1911.08252</loc><lastmod>2020-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ic-network-efficient-structure-for-convolutional-neural-networks-1911.08252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ic-network-efficient-structure-for-convolutional-neural-networks-1911.08252"/></url>
<url><loc>https://scifaro.com/en/abs/mastering-atari-go-chess-and-shogi-by-planning-with-a-learned-model-1911.08265</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mastering-atari-go-chess-and-shogi-by-planning-with-a-learned-model-1911.08265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mastering-atari-go-chess-and-shogi-by-planning-with-a-learned-model-1911.08265"/></url>
<url><loc>https://scifaro.com/en/abs/eliminating-artefacts-in-polarimetric-images-using-deep-learning-1911.08327</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eliminating-artefacts-in-polarimetric-images-using-deep-learning-1911.08327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eliminating-artefacts-in-polarimetric-images-using-deep-learning-1911.08327"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-graph-entity-alignment-with-graph-convolutional-networks-lessons-learned-1911.08342</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-graph-entity-alignment-with-graph-convolutional-networks-lessons-learned-1911.08342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-graph-entity-alignment-with-graph-convolutional-networks-lessons-learned-1911.08342"/></url>
<url><loc>https://scifaro.com/en/abs/live-face-de-identification-in-video-1911.08348</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/live-face-de-identification-in-video-1911.08348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/live-face-de-identification-in-video-1911.08348"/></url>
<url><loc>https://scifaro.com/en/abs/energy-usage-reports-environmental-awareness-as-part-of-algorithmic-accountability-1911.08354</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-usage-reports-environmental-awareness-as-part-of-algorithmic-accountability-1911.08354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-usage-reports-environmental-awareness-as-part-of-algorithmic-accountability-1911.08354"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-overweight-and-obesity-in-later-life-from-childhood-data-a-review-of-predictive-modeling-approaches-1911.08361</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-overweight-and-obesity-in-later-life-from-childhood-data-a-review-of-predictive-modeling-approaches-1911.08361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-overweight-and-obesity-in-later-life-from-childhood-data-a-review-of-predictive-modeling-approaches-1911.08361"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduced-advantage-estimation-with-delta-hindsight-credit-assignment-1911.08362</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduced-advantage-estimation-with-delta-hindsight-credit-assignment-1911.08362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduced-advantage-estimation-with-delta-hindsight-credit-assignment-1911.08362"/></url>
<url><loc>https://scifaro.com/en/abs/prince-provider-side-interpretability-with-counterfactual-explanations-in-recommender-systems-1911.08378</loc><lastmod>2019-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prince-provider-side-interpretability-with-counterfactual-explanations-in-recommender-systems-1911.08378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prince-provider-side-interpretability-with-counterfactual-explanations-in-recommender-systems-1911.08378"/></url>
<url><loc>https://scifaro.com/en/abs/a-model-for-predicting-price-polarity-of-real-estate-properties-using-information-of-real-estate-market-websites-1911.08382</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-model-for-predicting-price-polarity-of-real-estate-properties-using-information-of-real-estate-market-websites-1911.08382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-model-for-predicting-price-polarity-of-real-estate-properties-using-information-of-real-estate-market-websites-1911.08382"/></url>
<url><loc>https://scifaro.com/en/abs/towards-non-toxic-landscapes-automatic-toxic-comment-detection-using-dnn-1911.08395</loc><lastmod>2020-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-non-toxic-landscapes-automatic-toxic-comment-detection-using-dnn-1911.08395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-non-toxic-landscapes-automatic-toxic-comment-detection-using-dnn-1911.08395"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-curvature-variational-autoencoders-1911.08411</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-curvature-variational-autoencoders-1911.08411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-curvature-variational-autoencoders-1911.08411"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-on-various-state-of-the-art-of-the-art-face-recognition-system-using-deep-learning-techniques-1911.08426</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-on-various-state-of-the-art-of-the-art-face-recognition-system-using-deep-learning-techniques-1911.08426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-on-various-state-of-the-art-of-the-art-face-recognition-system-using-deep-learning-techniques-1911.08426"/></url>
<url><loc>https://scifaro.com/en/abs/towards-unstructured-mortality-prediction-with-free-text-clinical-notes-1911.08437</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-unstructured-mortality-prediction-with-free-text-clinical-notes-1911.08437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-unstructured-mortality-prediction-with-free-text-clinical-notes-1911.08437"/></url>
<url><loc>https://scifaro.com/en/abs/manga-method-agnostic-neural-policy-generalization-and-adaptation-1911.08444</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manga-method-agnostic-neural-policy-generalization-and-adaptation-1911.08444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manga-method-agnostic-neural-policy-generalization-and-adaptation-1911.08444"/></url>
<url><loc>https://scifaro.com/en/abs/planning-with-goal-conditioned-policies-1911.08453</loc><lastmod>2019-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/planning-with-goal-conditioned-policies-1911.08453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/planning-with-goal-conditioned-policies-1911.08453"/></url>
<url><loc>https://scifaro.com/en/abs/generalizable-resource-allocation-in-stream-processing-via-deep-reinforcement-learning-1911.08517</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizable-resource-allocation-in-stream-processing-via-deep-reinforcement-learning-1911.08517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizable-resource-allocation-in-stream-processing-via-deep-reinforcement-learning-1911.08517"/></url>
<url><loc>https://scifaro.com/en/abs/gromov-wasserstein-factorization-models-for-graph-clustering-1911.08530</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gromov-wasserstein-factorization-models-for-graph-clustering-1911.08530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gromov-wasserstein-factorization-models-for-graph-clustering-1911.08530"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-robust-learning-of-discrete-distributions-from-batches-1911.08532</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-robust-learning-of-discrete-distributions-from-batches-1911.08532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-robust-learning-of-discrete-distributions-from-batches-1911.08532"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-deep-graph-infomax-1911.08538</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-deep-graph-infomax-1911.08538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-deep-graph-infomax-1911.08538"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-control-latent-representations-for-few-shot-learning-of-named-entities-1911.08542</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-control-latent-representations-for-few-shot-learning-of-named-entities-1911.08542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-control-latent-representations-for-few-shot-learning-of-named-entities-1911.08542"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-focused-topic-models-for-electronic-health-records-1911.08551</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-focused-topic-models-for-electronic-health-records-1911.08551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-focused-topic-models-for-electronic-health-records-1911.08551"/></url>
<url><loc>https://scifaro.com/en/abs/towards-reducing-bias-in-gender-classification-1911.08556</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-reducing-bias-in-gender-classification-1911.08556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-reducing-bias-in-gender-classification-1911.08556"/></url>
<url><loc>https://scifaro.com/en/abs/multi-domain-conversation-quality-evaluation-via-user-satisfaction-estimation-1911.08567</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-domain-conversation-quality-evaluation-via-user-satisfaction-estimation-1911.08567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-domain-conversation-quality-evaluation-via-user-satisfaction-estimation-1911.08567"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-with-multisets-1911.08577</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-with-multisets-1911.08577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-with-multisets-1911.08577"/></url>
<url><loc>https://scifaro.com/en/abs/forbidden-knowledge-in-machine-learning-reflections-on-the-limits-of-research-and-publication-1911.08603</loc><lastmod>2020-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forbidden-knowledge-in-machine-learning-reflections-on-the-limits-of-research-and-publication-1911.08603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forbidden-knowledge-in-machine-learning-reflections-on-the-limits-of-research-and-publication-1911.08603"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-decorrelation-of-features-using-gramian-in-reinforcement-learning-1911.08610</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-decorrelation-of-features-using-gramian-in-reinforcement-learning-1911.08610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-decorrelation-of-features-using-gramian-in-reinforcement-learning-1911.08610"/></url>
<url><loc>https://scifaro.com/en/abs/deep-anomaly-detection-with-deviation-networks-1911.08623</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-anomaly-detection-with-deviation-networks-1911.08623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-anomaly-detection-with-deviation-networks-1911.08623"/></url>
<url><loc>https://scifaro.com/en/abs/robust-deep-neural-networks-inspired-by-fuzzy-logic-1911.08635</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-deep-neural-networks-inspired-by-fuzzy-logic-1911.08635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-deep-neural-networks-inspired-by-fuzzy-logic-1911.08635"/></url>
<url><loc>https://scifaro.com/en/abs/generate-non-software-bugs-to-fool-classifiers-1911.08644</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generate-non-software-bugs-to-fool-classifiers-1911.08644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generate-non-software-bugs-to-fool-classifiers-1911.08644"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-of-flow-based-generative-models-1911.08654</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-of-flow-based-generative-models-1911.08654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-of-flow-based-generative-models-1911.08654"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-task-agnostic-exploration-for-fixed-batch-learning-of-arbitrary-future-tasks-1911.08666</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-task-agnostic-exploration-for-fixed-batch-learning-of-arbitrary-future-tasks-1911.08666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-task-agnostic-exploration-for-fixed-batch-learning-of-arbitrary-future-tasks-1911.08666"/></url>
<url><loc>https://scifaro.com/en/abs/robust-triple-matrix-recovery-based-auto-weighted-label-propagation-for-classification-1911.08678</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-triple-matrix-recovery-based-auto-weighted-label-propagation-for-classification-1911.08678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-triple-matrix-recovery-based-auto-weighted-label-propagation-for-classification-1911.08678"/></url>
<url><loc>https://scifaro.com/en/abs/titan-a-spatiotemporal-feature-learning-framework-for-traffic-incident-duration-prediction-1911.08684</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/titan-a-spatiotemporal-feature-learning-framework-for-traffic-incident-duration-prediction-1911.08684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/titan-a-spatiotemporal-feature-learning-framework-for-traffic-incident-duration-prediction-1911.08684"/></url>
<url><loc>https://scifaro.com/en/abs/corruption-robust-exploration-in-episodic-reinforcement-learning-1911.08689</loc><lastmod>2023-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/corruption-robust-exploration-in-episodic-reinforcement-learning-1911.08689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/corruption-robust-exploration-in-episodic-reinforcement-learning-1911.08689"/></url>
<url><loc>https://scifaro.com/en/abs/where-is-the-bottleneck-of-adversarial-learning-with-unlabeled-data-1911.08696</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/where-is-the-bottleneck-of-adversarial-learning-with-unlabeled-data-1911.08696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/where-is-the-bottleneck-of-adversarial-learning-with-unlabeled-data-1911.08696"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-curiosity-for-efficient-exploration-in-reinforcement-learning-1911.08701</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-curiosity-for-efficient-exploration-in-reinforcement-learning-1911.08701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-curiosity-for-efficient-exploration-in-reinforcement-learning-1911.08701"/></url>
<url><loc>https://scifaro.com/en/abs/graph-driven-generative-models-for-heterogeneous-multi-task-learning-1911.08709</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-driven-generative-models-for-heterogeneous-multi-task-learning-1911.08709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-driven-generative-models-for-heterogeneous-multi-task-learning-1911.08709"/></url>
<url><loc>https://scifaro.com/en/abs/fine-tuning-by-curriculum-learning-for-non-autoregressive-neural-machine-translation-1911.08717</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fine-tuning-by-curriculum-learning-for-non-autoregressive-neural-machine-translation-1911.08717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fine-tuning-by-curriculum-learning-for-non-autoregressive-neural-machine-translation-1911.08717"/></url>
<url><loc>https://scifaro.com/en/abs/deep-minimax-probability-machine-1911.08723</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-minimax-probability-machine-1911.08723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-minimax-probability-machine-1911.08723"/></url>
<url><loc>https://scifaro.com/en/abs/layer-wise-adaptive-gradient-sparsification-for-distributed-deep-learning-with-convergence-guarantees-1911.08727</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layer-wise-adaptive-gradient-sparsification-for-distributed-deep-learning-with-convergence-guarantees-1911.08727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layer-wise-adaptive-gradient-sparsification-for-distributed-deep-learning-with-convergence-guarantees-1911.08727"/></url>
<url><loc>https://scifaro.com/en/abs/response-transformation-and-profit-decomposition-for-revenue-uplift-modeling-1911.08729</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/response-transformation-and-profit-decomposition-for-revenue-uplift-modeling-1911.08729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/response-transformation-and-profit-decomposition-for-revenue-uplift-modeling-1911.08729"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-neural-networks-for-group-shifts-on-the-importance-of-regularization-for-worst-case-generalization-1911.08731</loc><lastmod>2020-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-neural-networks-for-group-shifts-on-the-importance-of-regularization-for-worst-case-generalization-1911.08731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-neural-networks-for-group-shifts-on-the-importance-of-regularization-for-worst-case-generalization-1911.08731"/></url>
<url><loc>https://scifaro.com/en/abs/log-message-anomaly-detection-and-classification-using-auto-b-lstm-and-auto-gru-1911.08744</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/log-message-anomaly-detection-and-classification-using-auto-b-lstm-and-auto-gru-1911.08744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/log-message-anomaly-detection-and-classification-using-auto-b-lstm-and-auto-gru-1911.08744"/></url>
<url><loc>https://scifaro.com/en/abs/cat-crf-based-asr-toolkit-1911.08747</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cat-crf-based-asr-toolkit-1911.08747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cat-crf-based-asr-toolkit-1911.08747"/></url>
<url><loc>https://scifaro.com/en/abs/classification-with-costly-features-in-hierarchical-deep-sets-1911.08756</loc><lastmod>2024-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-with-costly-features-in-hierarchical-deep-sets-1911.08756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-with-costly-features-in-hierarchical-deep-sets-1911.08756"/></url>
<url><loc>https://scifaro.com/en/abs/inspect-transfer-learning-architecture-with-dilated-convolution-1911.08769</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inspect-transfer-learning-architecture-with-dilated-convolution-1911.08769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inspect-transfer-learning-architecture-with-dilated-convolution-1911.08769"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-top-k-sparsification-in-distributed-deep-learning-1911.08772</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-top-k-sparsification-in-distributed-deep-learning-1911.08772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-top-k-sparsification-in-distributed-deep-learning-1911.08772"/></url>
<url><loc>https://scifaro.com/en/abs/lionforests-local-interpretation-of-random-forests-1911.08780</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lionforests-local-interpretation-of-random-forests-1911.08780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lionforests-local-interpretation-of-random-forests-1911.08780"/></url>
<url><loc>https://scifaro.com/en/abs/deep-seismic-prior-based-reconstruction-of-seismic-data-using-convolutional-neural-networks-1911.08784</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-seismic-prior-based-reconstruction-of-seismic-data-using-convolutional-neural-networks-1911.08784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-seismic-prior-based-reconstruction-of-seismic-data-using-convolutional-neural-networks-1911.08784"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-end-to-end-deep-learning-based-anomaly-detection-in-transportation-networks-1911.08793</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-end-to-end-deep-learning-based-anomaly-detection-in-transportation-networks-1911.08793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-end-to-end-deep-learning-based-anomaly-detection-in-transportation-networks-1911.08793"/></url>
<url><loc>https://scifaro.com/en/abs/on-node-features-for-graph-neural-networks-1911.08795</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-node-features-for-graph-neural-networks-1911.08795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-node-features-for-graph-neural-networks-1911.08795"/></url>
<url><loc>https://scifaro.com/en/abs/object-based-multi-temporal-and-multi-source-land-cover-mapping-leveraging-hierarchical-class-relationships-1911.08815</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/object-based-multi-temporal-and-multi-source-land-cover-mapping-leveraging-hierarchical-class-relationships-1911.08815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/object-based-multi-temporal-and-multi-source-land-cover-mapping-leveraging-hierarchical-class-relationships-1911.08815"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-combinatorial-optimization-using-models-with-integer-valued-minima-1911.08817</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-combinatorial-optimization-using-models-with-integer-valued-minima-1911.08817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-combinatorial-optimization-using-models-with-integer-valued-minima-1911.08817"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-sampling-gradient-tree-boosting-framework-1911.08820</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-sampling-gradient-tree-boosting-framework-1911.08820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-sampling-gradient-tree-boosting-framework-1911.08820"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-average-reward-policy-gradient-algorithms-1911.08826</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-average-reward-policy-gradient-algorithms-1911.08826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-average-reward-policy-gradient-algorithms-1911.08826"/></url>
<url><loc>https://scifaro.com/en/abs/learning-generalized-quasi-geostrophic-models-using-deep-neural-numerical-models-1911.08856</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-generalized-quasi-geostrophic-models-using-deep-neural-numerical-models-1911.08856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-generalized-quasi-geostrophic-models-using-deep-neural-numerical-models-1911.08856"/></url>
<url><loc>https://scifaro.com/en/abs/cnak-cluster-number-assisted-k-means-1911.08871</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cnak-cluster-number-assisted-k-means-1911.08871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cnak-cluster-number-assisted-k-means-1911.08871"/></url>
<url><loc>https://scifaro.com/en/abs/avoiding-jammers-a-reinforcement-learning-approach-1911.08874</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avoiding-jammers-a-reinforcement-learning-approach-1911.08874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avoiding-jammers-a-reinforcement-learning-approach-1911.08874"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-deep-graph-neural-networks-1911.08941</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-deep-graph-neural-networks-1911.08941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-deep-graph-neural-networks-1911.08941"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-wind-driven-optimization-trained-artificial-neural-networks-1911.08942</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-wind-driven-optimization-trained-artificial-neural-networks-1911.08942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-wind-driven-optimization-trained-artificial-neural-networks-1911.08942"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-toolkit-primers-and-benchmarks-1911.08967</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-toolkit-primers-and-benchmarks-1911.08967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-toolkit-primers-and-benchmarks-1911.08967"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-family-graph-embeddings-1911.09007</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-family-graph-embeddings-1911.09007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-family-graph-embeddings-1911.09007"/></url>
<url><loc>https://scifaro.com/en/abs/learning-embeddings-from-cancer-mutation-sets-for-classification-tasks-1911.09008</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-embeddings-from-cancer-mutation-sets-for-classification-tasks-1911.09008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-embeddings-from-cancer-mutation-sets-for-classification-tasks-1911.09008"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-unified-evaluation-of-explanation-methods-without-ground-truth-1911.09017</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-unified-evaluation-of-explanation-methods-without-ground-truth-1911.09017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-unified-evaluation-of-explanation-methods-without-ground-truth-1911.09017"/></url>
<url><loc>https://scifaro.com/en/abs/local-adaalter-communication-efficient-stochastic-gradient-descent-with-adaptive-learning-rates-1911.09030</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-adaalter-communication-efficient-stochastic-gradient-descent-with-adaptive-learning-rates-1911.09030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-adaalter-communication-efficient-stochastic-gradient-descent-with-adaptive-learning-rates-1911.09030"/></url>
<url><loc>https://scifaro.com/en/abs/outside-the-box-abstraction-based-monitoring-of-neural-networks-1911.09032</loc><lastmod>2022-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outside-the-box-abstraction-based-monitoring-of-neural-networks-1911.09032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outside-the-box-abstraction-based-monitoring-of-neural-networks-1911.09032"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-spatial-invariance-for-scalable-unsupervised-object-tracking-1911.09033</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-spatial-invariance-for-scalable-unsupervised-object-tracking-1911.09033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-spatial-invariance-for-scalable-unsupervised-object-tracking-1911.09033"/></url>
<url><loc>https://scifaro.com/en/abs/a-cnn-rnn-framework-for-crop-yield-prediction-1911.09045</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-cnn-rnn-framework-for-crop-yield-prediction-1911.09045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-cnn-rnn-framework-for-crop-yield-prediction-1911.09045"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-graph-based-knowledge-transfer-for-generalized-zero-shot-learning-1911.09046</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-graph-based-knowledge-transfer-for-generalized-zero-shot-learning-1911.09046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-graph-based-knowledge-transfer-for-generalized-zero-shot-learning-1911.09046"/></url>
<url><loc>https://scifaro.com/en/abs/challenges-with-extreme-class-imbalance-and-temporal-coherence-a-study-on-solar-flare-data-1911.09061</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-with-extreme-class-imbalance-and-temporal-coherence-a-study-on-solar-flare-data-1911.09061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-with-extreme-class-imbalance-and-temporal-coherence-a-study-on-solar-flare-data-1911.09061"/></url>
<url><loc>https://scifaro.com/en/abs/shapelets-for-earthquake-detection-1911.09086</loc><lastmod>2019-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shapelets-for-earthquake-detection-1911.09086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shapelets-for-earthquake-detection-1911.09086"/></url>
<url><loc>https://scifaro.com/en/abs/on-universal-features-for-high-dimensional-learning-and-inference-1911.09105</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-universal-features-for-high-dimensional-learning-and-inference-1911.09105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-universal-features-for-high-dimensional-learning-and-inference-1911.09105"/></url>
<url><loc>https://scifaro.com/en/abs/dpm-a-deep-learning-pde-augmentation-method-with-application-to-large-eddy-simulation-1911.09145</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dpm-a-deep-learning-pde-augmentation-method-with-application-to-large-eddy-simulation-1911.09145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dpm-a-deep-learning-pde-augmentation-method-with-application-to-large-eddy-simulation-1911.09145"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-optimization-for-bayesian-preference-elicitation-1911.09153</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-optimization-for-bayesian-preference-elicitation-1911.09153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-optimization-for-bayesian-preference-elicitation-1911.09153"/></url>
<url><loc>https://scifaro.com/en/abs/a-tale-of-two-timescale-reinforcement-learning-with-the-tightest-finite-time-bound-1911.09157</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tale-of-two-timescale-reinforcement-learning-with-the-tightest-finite-time-bound-1911.09157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tale-of-two-timescale-reinforcement-learning-with-the-tightest-finite-time-bound-1911.09157"/></url>
<url><loc>https://scifaro.com/en/abs/random-fourier-features-via-fast-surrogate-leverage-weighted-sampling-1911.09158</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-fourier-features-via-fast-surrogate-leverage-weighted-sampling-1911.09158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-fourier-features-via-fast-surrogate-leverage-weighted-sampling-1911.09158"/></url>
<url><loc>https://scifaro.com/en/abs/deep-active-learning-unified-and-principled-method-for-query-and-training-1911.09162</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-active-learning-unified-and-principled-method-for-query-and-training-1911.09162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-active-learning-unified-and-principled-method-for-query-and-training-1911.09162"/></url>
<url><loc>https://scifaro.com/en/abs/information-in-infinite-ensembles-of-infinitely-wide-neural-networks-1911.09189</loc><lastmod>2022-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-in-infinite-ensembles-of-infinitely-wide-neural-networks-1911.09189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-in-infinite-ensembles-of-infinitely-wide-neural-networks-1911.09189"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-subdimensional-motifs-of-different-lengths-in-large-scale-multivariate-time-series-1911.09218</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-subdimensional-motifs-of-different-lengths-in-large-scale-multivariate-time-series-1911.09218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-subdimensional-motifs-of-different-lengths-in-large-scale-multivariate-time-series-1911.09218"/></url>
<url><loc>https://scifaro.com/en/abs/autoshrink-a-topology-aware-nas-for-discovering-efficient-neural-architecture-1911.09251</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoshrink-a-topology-aware-nas-for-discovering-efficient-neural-architecture-1911.09251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoshrink-a-topology-aware-nas-for-discovering-efficient-neural-architecture-1911.09251"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-certificates-for-sparse-adversarial-attacks-by-randomized-ablation-1911.09272</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-certificates-for-sparse-adversarial-attacks-by-randomized-ablation-1911.09272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-certificates-for-sparse-adversarial-attacks-by-randomized-ablation-1911.09272"/></url>
<url><loc>https://scifaro.com/en/abs/event-detection-in-noisy-streaming-data-with-combination-of-corroborative-and-probabilistic-sources-1911.09281</loc><lastmod>2019-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/event-detection-in-noisy-streaming-data-with-combination-of-corroborative-and-probabilistic-sources-1911.09281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/event-detection-in-noisy-streaming-data-with-combination-of-corroborative-and-probabilistic-sources-1911.09281"/></url>
<url><loc>https://scifaro.com/en/abs/band-limited-training-and-inference-for-convolutional-neural-networks-1911.09287</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/band-limited-training-and-inference-for-convolutional-neural-networks-1911.09287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/band-limited-training-and-inference-for-convolutional-neural-networks-1911.09287"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-multi-view-subspace-clustering-in-linear-time-1911.09290</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-multi-view-subspace-clustering-in-linear-time-1911.09290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-multi-view-subspace-clustering-in-linear-time-1911.09290"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-methods-for-computing-state-similarity-in-deterministic-markov-decision-processes-1911.09291</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-methods-for-computing-state-similarity-in-deterministic-markov-decision-processes-1911.09291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-methods-for-computing-state-similarity-in-deterministic-markov-decision-processes-1911.09291"/></url>
<url><loc>https://scifaro.com/en/abs/robust-conditional-gan-from-uncertainty-aware-pairwise-comparisons-1911.09298</loc><lastmod>2020-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-conditional-gan-from-uncertainty-aware-pairwise-comparisons-1911.09298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-conditional-gan-from-uncertainty-aware-pairwise-comparisons-1911.09298"/></url>
<url><loc>https://scifaro.com/en/abs/patch-level-neighborhood-interpolation-a-general-and-effective-graph-based-regularization-strategy-1911.09307</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/patch-level-neighborhood-interpolation-a-general-and-effective-graph-based-regularization-strategy-1911.09307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/patch-level-neighborhood-interpolation-a-general-and-effective-graph-based-regularization-strategy-1911.09307"/></url>
<url><loc>https://scifaro.com/en/abs/improving-unsupervised-domain-adaptation-with-variational-information-bottleneck-1911.09310</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-unsupervised-domain-adaptation-with-variational-information-bottleneck-1911.09310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-unsupervised-domain-adaptation-with-variational-information-bottleneck-1911.09310"/></url>
<url><loc>https://scifaro.com/en/abs/rule-extraction-in-unsupervised-anomaly-detection-for-model-explainability-application-to-oneclass-svm-1911.09315</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rule-extraction-in-unsupervised-anomaly-detection-for-model-explainability-application-to-oneclass-svm-1911.09315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rule-extraction-in-unsupervised-anomaly-detection-for-model-explainability-application-to-oneclass-svm-1911.09315"/></url>
<url><loc>https://scifaro.com/en/abs/data-proxy-generation-for-fast-and-efficient-neural-architecture-search-1911.09322</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-proxy-generation-for-fast-and-efficient-neural-architecture-search-1911.09322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-proxy-generation-for-fast-and-efficient-neural-architecture-search-1911.09322"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-the-gap-between-sample-based-and-one-shot-neural-architecture-search-with-bonas-1911.09336</loc><lastmod>2020-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-the-gap-between-sample-based-and-one-shot-neural-architecture-search-with-bonas-1911.09336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-the-gap-between-sample-based-and-one-shot-neural-architecture-search-with-bonas-1911.09336"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-mixture-density-recurrent-neural-network-for-predicting-user-location-with-wifi-fingerprints-1911.09344</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-mixture-density-recurrent-neural-network-for-predicting-user-location-with-wifi-fingerprints-1911.09344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-mixture-density-recurrent-neural-network-for-predicting-user-location-with-wifi-fingerprints-1911.09344"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-approach-for-discovering-daily-human-mobility-patterns-with-mobile-data-1911.09355</loc><lastmod>2020-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-approach-for-discovering-daily-human-mobility-patterns-with-mobile-data-1911.09355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-approach-for-discovering-daily-human-mobility-patterns-with-mobile-data-1911.09355"/></url>
<url><loc>https://scifaro.com/en/abs/multi-scale-rcnn-model-for-financial-time-series-classification-1911.09359</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-scale-rcnn-model-for-financial-time-series-classification-1911.09359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-scale-rcnn-model-for-financial-time-series-classification-1911.09359"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-reinforcement-learning-with-suboptimal-guidance-1911.09391</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-reinforcement-learning-with-suboptimal-guidance-1911.09391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-reinforcement-learning-with-suboptimal-guidance-1911.09391"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hierarchy-aware-knowledge-graph-embeddings-for-link-prediction-1911.09419</loc><lastmod>2022-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hierarchy-aware-knowledge-graph-embeddings-for-link-prediction-1911.09419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hierarchy-aware-knowledge-graph-embeddings-for-link-prediction-1911.09419"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-hydrologic-modeling-using-less-information-1911.09427</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-hydrologic-modeling-using-less-information-1911.09427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-hydrologic-modeling-using-less-information-1911.09427"/></url>
<url><loc>https://scifaro.com/en/abs/visual-tactile-fusion-object-clustering-1911.09430</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-tactile-fusion-object-clustering-1911.09430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-tactile-fusion-object-clustering-1911.09430"/></url>
<url><loc>https://scifaro.com/en/abs/system-identification-with-time-aware-neural-sequence-models-1911.09431</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/system-identification-with-time-aware-neural-sequence-models-1911.09431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/system-identification-with-time-aware-neural-sequence-models-1911.09431"/></url>
<url><loc>https://scifaro.com/en/abs/approximated-orthonormal-normalisation-in-training-neural-networks-1911.09445</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximated-orthonormal-normalisation-in-training-neural-networks-1911.09445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximated-orthonormal-normalisation-in-training-neural-networks-1911.09445"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-network-compression-via-cross-distillation-1911.09450</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-network-compression-via-cross-distillation-1911.09450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-network-compression-via-cross-distillation-1911.09450"/></url>
<url><loc>https://scifaro.com/en/abs/customized-graph-embedding-tailoring-embedding-vectors-to-different-applications-1911.09454</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/customized-graph-embedding-tailoring-embedding-vectors-to-different-applications-1911.09454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/customized-graph-embedding-tailoring-embedding-vectors-to-different-applications-1911.09454"/></url>
<url><loc>https://scifaro.com/en/abs/observe-before-play-multi-armed-bandit-with-pre-observations-1911.09458</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/observe-before-play-multi-armed-bandit-with-pre-observations-1911.09458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/observe-before-play-multi-armed-bandit-with-pre-observations-1911.09458"/></url>
<url><loc>https://scifaro.com/en/abs/janos-an-integrated-predictive-and-prescriptive-modeling-framework-1911.09461</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/janos-an-integrated-predictive-and-prescriptive-modeling-framework-1911.09461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/janos-an-integrated-predictive-and-prescriptive-modeling-framework-1911.09461"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-analysis-of-forecasting-financial-time-series-using-arima-lstm-and-bilstm-1911.09512</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-analysis-of-forecasting-financial-time-series-using-arima-lstm-and-bilstm-1911.09512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-analysis-of-forecasting-financial-time-series-using-arima-lstm-and-bilstm-1911.09512"/></url>
<url><loc>https://scifaro.com/en/abs/video-segment-copy-detection-using-memory-constrained-hierarchical-batch-normalized-lstm-autoencoder-1911.09518</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/video-segment-copy-detection-using-memory-constrained-hierarchical-batch-normalized-lstm-autoencoder-1911.09518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/video-segment-copy-detection-using-memory-constrained-hierarchical-batch-normalized-lstm-autoencoder-1911.09518"/></url>
<url><loc>https://scifaro.com/en/abs/towards-fair-protocols-and-workflows-the-openpredict-case-study-1911.09531</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-fair-protocols-and-workflows-the-openpredict-case-study-1911.09531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-fair-protocols-and-workflows-the-openpredict-case-study-1911.09531"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-memorization-dissection-1911.09537</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-memorization-dissection-1911.09537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-memorization-dissection-1911.09537"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-and-continuous-deep-residual-learning-over-graphs-1911.09554</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-and-continuous-deep-residual-learning-over-graphs-1911.09554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-and-continuous-deep-residual-learning-over-graphs-1911.09554"/></url>
<url><loc>https://scifaro.com/en/abs/memory-efficient-episodic-control-reinforcement-learning-with-dynamic-online-k-means-1911.09560</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-efficient-episodic-control-reinforcement-learning-with-dynamic-online-k-means-1911.09560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-efficient-episodic-control-reinforcement-learning-with-dynamic-online-k-means-1911.09560"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-free-locally-differentially-private-stochastic-subgradient-descent-1911.09564</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-free-locally-differentially-private-stochastic-subgradient-descent-1911.09564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-free-locally-differentially-private-stochastic-subgradient-descent-1911.09564"/></url>
<url><loc>https://scifaro.com/en/abs/volume-preserving-neural-networks-1911.09576</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/volume-preserving-neural-networks-1911.09576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/volume-preserving-neural-networks-1911.09576"/></url>
<url><loc>https://scifaro.com/en/abs/vouw-geometric-pattern-mining-using-the-mdl-principle-1911.09587</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vouw-geometric-pattern-mining-using-the-mdl-principle-1911.09587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vouw-geometric-pattern-mining-using-the-mdl-principle-1911.09587"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-with-maximum-entropy-mellowmax-episodic-control-1911.09615</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-with-maximum-entropy-mellowmax-episodic-control-1911.09615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-with-maximum-entropy-mellowmax-episodic-control-1911.09615"/></url>
<url><loc>https://scifaro.com/en/abs/regularizing-neural-networks-by-stochastically-training-layer-ensembles-1911.09669</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizing-neural-networks-by-stochastically-training-layer-ensembles-1911.09669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizing-neural-networks-by-stochastically-training-layer-ensembles-1911.09669"/></url>
<url><loc>https://scifaro.com/en/abs/third-person-visual-imitation-learning-via-decoupled-hierarchical-controller-1911.09676</loc><lastmod>2019-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/third-person-visual-imitation-learning-via-decoupled-hierarchical-controller-1911.09676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/third-person-visual-imitation-learning-via-decoupled-hierarchical-controller-1911.09676"/></url>
<url><loc>https://scifaro.com/en/abs/a-conceptual-framework-for-lifelong-learning-1911.09704</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-conceptual-framework-for-lifelong-learning-1911.09704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-conceptual-framework-for-lifelong-learning-1911.09704"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-and-byzantine-robust-distributed-learning-with-error-feedback-1911.09721</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-and-byzantine-robust-distributed-learning-with-error-feedback-1911.09721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-and-byzantine-robust-distributed-learning-with-error-feedback-1911.09721"/></url>
<url><loc>https://scifaro.com/en/abs/filter-response-normalization-layer-eliminating-batch-dependence-in-the-training-of-deep-neural-networks-1911.09737</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/filter-response-normalization-layer-eliminating-batch-dependence-in-the-training-of-deep-neural-networks-1911.09737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/filter-response-normalization-layer-eliminating-batch-dependence-in-the-training-of-deep-neural-networks-1911.09737"/></url>
<url><loc>https://scifaro.com/en/abs/poisson-minibatching-for-gibbs-sampling-with-convergence-rate-guarantees-1911.09771</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisson-minibatching-for-gibbs-sampling-with-convergence-rate-guarantees-1911.09771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisson-minibatching-for-gibbs-sampling-with-convergence-rate-guarantees-1911.09771"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-synthetic-noise-deep-learning-on-controlled-noisy-labels-1911.09781</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-synthetic-noise-deep-learning-on-controlled-noisy-labels-1911.09781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-synthetic-noise-deep-learning-on-controlled-noisy-labels-1911.09781"/></url>
<url><loc>https://scifaro.com/en/abs/wildmix-dataset-and-spectro-temporal-transformer-model-for-monoaural-audio-source-separation-1911.09783</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wildmix-dataset-and-spectro-temporal-transformer-model-for-monoaural-audio-source-separation-1911.09783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wildmix-dataset-and-spectro-temporal-transformer-model-for-monoaural-audio-source-separation-1911.09783"/></url>
<url><loc>https://scifaro.com/en/abs/remixmatch-semi-supervised-learning-with-distribution-alignment-and-augmentation-anchoring-1911.09785</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/remixmatch-semi-supervised-learning-with-distribution-alignment-and-augmentation-anchoring-1911.09785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/remixmatch-semi-supervised-learning-with-distribution-alignment-and-augmentation-anchoring-1911.09785"/></url>
<url><loc>https://scifaro.com/en/abs/an-alternative-cross-entropy-loss-for-learning-to-rank-1911.09798</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-alternative-cross-entropy-loss-for-learning-to-rank-1911.09798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-alternative-cross-entropy-loss-for-learning-to-rank-1911.09798"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-uncertainty-through-bayesian-learning-of-deep-neural-network-structure-1911.09804</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-uncertainty-through-bayesian-learning-of-deep-neural-network-structure-1911.09804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-uncertainty-through-bayesian-learning-of-deep-neural-network-structure-1911.09804"/></url>
<url><loc>https://scifaro.com/en/abs/when-does-non-orthogonal-tensor-decomposition-have-no-spurious-local-minima-1911.09815</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-does-non-orthogonal-tensor-decomposition-have-no-spurious-local-minima-1911.09815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-does-non-orthogonal-tensor-decomposition-have-no-spurious-local-minima-1911.09815"/></url>
<url><loc>https://scifaro.com/en/abs/order-matters-at-fanatics-recommending-sequentially-ordered-products-by-lstm-embedded-with-word2vec-1911.09818</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/order-matters-at-fanatics-recommending-sequentially-ordered-products-by-lstm-embedded-with-word2vec-1911.09818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/order-matters-at-fanatics-recommending-sequentially-ordered-products-by-lstm-embedded-with-word2vec-1911.09818"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-distributed-logistic-regression-for-vertical-federated-learning-without-third-party-coordinator-1911.09824</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-distributed-logistic-regression-for-vertical-federated-learning-without-third-party-coordinator-1911.09824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-distributed-logistic-regression-for-vertical-federated-learning-without-third-party-coordinator-1911.09824"/></url>
<url><loc>https://scifaro.com/en/abs/factorized-multimodal-transformer-for-multimodal-sequential-learning-1911.09826</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factorized-multimodal-transformer-for-multimodal-sequential-learning-1911.09826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factorized-multimodal-transformer-for-multimodal-sequential-learning-1911.09826"/></url>
<url><loc>https://scifaro.com/en/abs/graph-convolution-networks-for-probabilistic-modeling-of-driving-acceleration-1911.09837</loc><lastmod>2020-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-convolution-networks-for-probabilistic-modeling-of-driving-acceleration-1911.09837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-convolution-networks-for-probabilistic-modeling-of-driving-acceleration-1911.09837"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-algorithm-for-marginalising-changepoints-1911.09839</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-algorithm-for-marginalising-changepoints-1911.09839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-algorithm-for-marginalising-changepoints-1911.09839"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-bankruptcy-prediction-models-in-the-presence-of-extreme-class-imbalance-and-multiple-stages-of-economy-1911.09858</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-bankruptcy-prediction-models-in-the-presence-of-extreme-class-imbalance-and-multiple-stages-of-economy-1911.09858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-bankruptcy-prediction-models-in-the-presence-of-extreme-class-imbalance-and-multiple-stages-of-economy-1911.09858"/></url>
<url><loc>https://scifaro.com/en/abs/data-programming-using-continuous-and-quality-guided-labeling-functions-1911.09860</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-programming-using-continuous-and-quality-guided-labeling-functions-1911.09860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-programming-using-continuous-and-quality-guided-labeling-functions-1911.09860"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-learning-and-memorization-with-almost-no-over-parameterization-1911.09873</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-learning-and-memorization-with-almost-no-over-parameterization-1911.09873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-learning-and-memorization-with-almost-no-over-parameterization-1911.09873"/></url>
<url><loc>https://scifaro.com/en/abs/feature-noise-induces-loss-discrepancy-across-groups-1911.09876</loc><lastmod>2020-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-noise-induces-loss-discrepancy-across-groups-1911.09876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-noise-induces-loss-discrepancy-across-groups-1911.09876"/></url>
<url><loc>https://scifaro.com/en/abs/economy-statistical-recurrent-units-for-inferring-nonlinear-granger-causality-1911.09879</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/economy-statistical-recurrent-units-for-inferring-nonlinear-granger-causality-1911.09879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/economy-statistical-recurrent-units-for-inferring-nonlinear-granger-causality-1911.09879"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-and-semi-supervised-deep-probabilistic-models-for-indoor-positioning-problems-1911.09906</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-and-semi-supervised-deep-probabilistic-models-for-indoor-positioning-problems-1911.09906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-and-semi-supervised-deep-probabilistic-models-for-indoor-positioning-problems-1911.09906"/></url>
<url><loc>https://scifaro.com/en/abs/actively-learning-gaussian-process-dynamics-1911.09946</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/actively-learning-gaussian-process-dynamics-1911.09946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/actively-learning-gaussian-process-dynamics-1911.09946"/></url>
<url><loc>https://scifaro.com/en/abs/instance-cross-entropy-for-deep-metric-learning-1911.09976</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-cross-entropy-for-deep-metric-learning-1911.09976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-cross-entropy-for-deep-metric-learning-1911.09976"/></url>
<url><loc>https://scifaro.com/en/abs/treegen-a-tree-based-transformer-architecture-for-code-generation-1911.09983</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/treegen-a-tree-based-transformer-architecture-for-code-generation-1911.09983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/treegen-a-tree-based-transformer-architecture-for-code-generation-1911.09983"/></url>
<url><loc>https://scifaro.com/en/abs/attack-agnostic-statistical-method-for-adversarial-detection-1911.10008</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attack-agnostic-statistical-method-for-adversarial-detection-1911.10008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attack-agnostic-statistical-method-for-adversarial-detection-1911.10008"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-features-learning-for-sampled-vector-fields-1911.10023</loc><lastmod>2020-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-features-learning-for-sampled-vector-fields-1911.10023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-features-learning-for-sampled-vector-fields-1911.10023"/></url>
<url><loc>https://scifaro.com/en/abs/low-variance-black-box-gradient-estimates-for-the-plackett-luce-distribution-1911.10036</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-variance-black-box-gradient-estimates-for-the-plackett-luce-distribution-1911.10036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-variance-black-box-gradient-estimates-for-the-plackett-luce-distribution-1911.10036"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-bayesian-differential-privacy-1911.10071</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-bayesian-differential-privacy-1911.10071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-bayesian-differential-privacy-1911.10071"/></url>
<url><loc>https://scifaro.com/en/abs/responsible-scoring-mechanisms-through-function-sampling-1911.10073</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/responsible-scoring-mechanisms-through-function-sampling-1911.10073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/responsible-scoring-mechanisms-through-function-sampling-1911.10073"/></url>
<url><loc>https://scifaro.com/en/abs/ptype-probabilistic-type-inference-1911.10081</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ptype-probabilistic-type-inference-1911.10081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ptype-probabilistic-type-inference-1911.10081"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-data-usage-via-differentiable-rewards-1911.10088</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-data-usage-via-differentiable-rewards-1911.10088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-data-usage-via-differentiable-rewards-1911.10088"/></url>
<url><loc>https://scifaro.com/en/abs/smart-predict-and-optimize-for-hard-combinatorial-optimization-problems-1911.10092</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smart-predict-and-optimize-for-hard-combinatorial-optimization-problems-1911.10092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smart-predict-and-optimize-for-hard-combinatorial-optimization-problems-1911.10092"/></url>
<url><loc>https://scifaro.com/en/abs/hal-improved-text-image-matching-by-mitigating-visual-semantic-hubs-1911.10097</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hal-improved-text-image-matching-by-mitigating-visual-semantic-hubs-1911.10097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hal-improved-text-image-matching-by-mitigating-visual-semantic-hubs-1911.10097"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-thompson-sampling-for-bandit-applications-with-sparse-neighbourhood-structures-1911.10120</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-thompson-sampling-for-bandit-applications-with-sparse-neighbourhood-structures-1911.10120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-thompson-sampling-for-bandit-applications-with-sparse-neighbourhood-structures-1911.10120"/></url>
<url><loc>https://scifaro.com/en/abs/fleet-control-using-coregionalized-gaussian-process-policy-iteration-1911.10121</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fleet-control-using-coregionalized-gaussian-process-policy-iteration-1911.10121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fleet-control-using-coregionalized-gaussian-process-policy-iteration-1911.10121"/></url>
<url><loc>https://scifaro.com/en/abs/a-transfer-learning-method-for-goal-recognition-exploiting-cross-domain-spatial-features-1911.10134</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-transfer-learning-method-for-goal-recognition-exploiting-cross-domain-spatial-features-1911.10134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-transfer-learning-method-for-goal-recognition-exploiting-cross-domain-spatial-features-1911.10134"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-learning-of-privacy-preserving-and-task-oriented-representations-1911.10143</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-learning-of-privacy-preserving-and-task-oriented-representations-1911.10143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-learning-of-privacy-preserving-and-task-oriented-representations-1911.10143"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-exploration-through-intrinsic-motivation-learning-for-unsupervised-subgoal-discovery-in-model-free-hierarchical-reinforcement-learning-1911.10164</loc><lastmod>2019-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-exploration-through-intrinsic-motivation-learning-for-unsupervised-subgoal-discovery-in-model-free-hierarchical-reinforcement-learning-1911.10164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-exploration-through-intrinsic-motivation-learning-for-unsupervised-subgoal-discovery-in-model-free-hierarchical-reinforcement-learning-1911.10164"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-parametric-inference-a-case-for-robust-statistics-1911.10167</loc><lastmod>2023-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-parametric-inference-a-case-for-robust-statistics-1911.10167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-parametric-inference-a-case-for-robust-statistics-1911.10167"/></url>
<url><loc>https://scifaro.com/en/abs/sparsetrain-leveraging-dynamic-sparsity-in-training-dnns-on-general-purpose-simd-processors-1911.10175</loc><lastmod>2020-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsetrain-leveraging-dynamic-sparsity-in-training-dnns-on-general-purpose-simd-processors-1911.10175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsetrain-leveraging-dynamic-sparsity-in-training-dnns-on-general-purpose-simd-processors-1911.10175"/></url>
<url><loc>https://scifaro.com/en/abs/universal-adversarial-examples-in-speech-command-classification-1911.10182</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-adversarial-examples-in-speech-command-classification-1911.10182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-adversarial-examples-in-speech-command-classification-1911.10182"/></url>
<url><loc>https://scifaro.com/en/abs/deepsynth-automata-synthesis-for-automatic-task-segmentation-in-deep-reinforcement-learning-1911.10244</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepsynth-automata-synthesis-for-automatic-task-segmentation-in-deep-reinforcement-learning-1911.10244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepsynth-automata-synthesis-for-automatic-task-segmentation-in-deep-reinforcement-learning-1911.10244"/></url>
<url><loc>https://scifaro.com/en/abs/fantastic-four-differentiable-bounds-on-singular-values-of-convolution-layers-1911.10258</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fantastic-four-differentiable-bounds-on-singular-values-of-convolution-layers-1911.10258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fantastic-four-differentiable-bounds-on-singular-values-of-convolution-layers-1911.10258"/></url>
<url><loc>https://scifaro.com/en/abs/joint-modeling-of-local-and-global-temporal-dynamics-for-multivariate-time-series-forecasting-with-missing-values-1911.10273</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-modeling-of-local-and-global-temporal-dynamics-for-multivariate-time-series-forecasting-with-missing-values-1911.10273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-modeling-of-local-and-global-temporal-dynamics-for-multivariate-time-series-forecasting-with-missing-values-1911.10273"/></url>
<url><loc>https://scifaro.com/en/abs/training-modern-deep-neural-networks-for-memory-fault-robustness-1911.10287</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-modern-deep-neural-networks-for-memory-fault-robustness-1911.10287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-modern-deep-neural-networks-for-memory-fault-robustness-1911.10287"/></url>
<url><loc>https://scifaro.com/en/abs/invert-and-defend-model-based-approximate-inversion-of-generative-adversarial-networks-for-secure-inference-1911.10291</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invert-and-defend-model-based-approximate-inversion-of-generative-adversarial-networks-for-secure-inference-1911.10291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invert-and-defend-model-based-approximate-inversion-of-generative-adversarial-networks-for-secure-inference-1911.10291"/></url>
<url><loc>https://scifaro.com/en/abs/a-domain-adaptive-density-clustering-algorithm-for-data-with-varying-density-distribution-1911.10293</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-domain-adaptive-density-clustering-algorithm-for-data-with-varying-density-distribution-1911.10293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-domain-adaptive-density-clustering-algorithm-for-data-with-varying-density-distribution-1911.10293"/></url>
<url><loc>https://scifaro.com/en/abs/covernet-multimodal-behavior-prediction-using-trajectory-sets-1911.10298</loc><lastmod>2020-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covernet-multimodal-behavior-prediction-using-trajectory-sets-1911.10298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covernet-multimodal-behavior-prediction-using-trajectory-sets-1911.10298"/></url>
<url><loc>https://scifaro.com/en/abs/dynamical-system-inspired-adaptive-time-stepping-controller-for-residual-network-families-1911.10305</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamical-system-inspired-adaptive-time-stepping-controller-for-residual-network-families-1911.10305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamical-system-inspired-adaptive-time-stepping-controller-for-residual-network-families-1911.10305"/></url>
<url><loc>https://scifaro.com/en/abs/neural-integration-of-continuous-dynamics-1911.10309</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-integration-of-continuous-dynamics-1911.10309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-integration-of-continuous-dynamics-1911.10309"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-laplacian-and-its-theoretical-applications-1911.10311</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-laplacian-and-its-theoretical-applications-1911.10311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-laplacian-and-its-theoretical-applications-1911.10311"/></url>
<url><loc>https://scifaro.com/en/abs/compressing-representations-for-embedded-deep-learning-1911.10321</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressing-representations-for-embedded-deep-learning-1911.10321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressing-representations-for-embedded-deep-learning-1911.10321"/></url>
<url><loc>https://scifaro.com/en/abs/meta-adaptation-using-importance-weighted-demonstrations-1911.10322</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-adaptation-using-importance-weighted-demonstrations-1911.10322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-adaptation-using-importance-weighted-demonstrations-1911.10322"/></url>
<url><loc>https://scifaro.com/en/abs/kernelized-multiview-subspace-analysis-by-self-weighted-learning-1911.10357</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernelized-multiview-subspace-analysis-by-self-weighted-learning-1911.10357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernelized-multiview-subspace-analysis-by-self-weighted-learning-1911.10357"/></url>
<url><loc>https://scifaro.com/en/abs/graspel-graph-spectral-learning-at-scale-1911.10373</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graspel-graph-spectral-learning-at-scale-1911.10373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graspel-graph-spectral-learning-at-scale-1911.10373"/></url>
<url><loc>https://scifaro.com/en/abs/doctor2vec-dynamic-doctor-representation-learning-for-clinical-trial-recruitment-1911.10395</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doctor2vec-dynamic-doctor-representation-learning-for-clinical-trial-recruitment-1911.10395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doctor2vec-dynamic-doctor-representation-learning-for-clinical-trial-recruitment-1911.10395"/></url>
<url><loc>https://scifaro.com/en/abs/intermittent-demand-forecasting-with-deep-renewal-processes-1911.10416</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intermittent-demand-forecasting-with-deep-renewal-processes-1911.10416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intermittent-demand-forecasting-with-deep-renewal-processes-1911.10416"/></url>
<url><loc>https://scifaro.com/en/abs/dcso-dynamic-combination-of-detector-scores-for-outlier-ensembles-1911.10418</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dcso-dynamic-combination-of-detector-scores-for-outlier-ensembles-1911.10418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dcso-dynamic-combination-of-detector-scores-for-outlier-ensembles-1911.10418"/></url>
<url><loc>https://scifaro.com/en/abs/neural-storyboard-artist-visualizing-stories-with-coherent-image-sequences-1911.10460</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-storyboard-artist-visualizing-stories-with-coherent-image-sequences-1911.10460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-storyboard-artist-visualizing-stories-with-coherent-image-sequences-1911.10460"/></url>
<url><loc>https://scifaro.com/en/abs/causality-for-machine-learning-1911.10500</loc><lastmod>2022-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causality-for-machine-learning-1911.10500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causality-for-machine-learning-1911.10500"/></url>
<url><loc>https://scifaro.com/en/abs/stage-based-hyper-parameter-optimization-for-deep-learning-1911.10504</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stage-based-hyper-parameter-optimization-for-deep-learning-1911.10504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stage-based-hyper-parameter-optimization-for-deep-learning-1911.10504"/></url>
<url><loc>https://scifaro.com/en/abs/dpvaes-fixing-sample-generation-for-regularized-vaes-1911.10506</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dpvaes-fixing-sample-generation-for-regularized-vaes-1911.10506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dpvaes-fixing-sample-generation-for-regularized-vaes-1911.10506"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-hierarchical-recurrent-graph-neural-network-for-city-wide-parking-availability-prediction-1911.10516</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-hierarchical-recurrent-graph-neural-network-for-city-wide-parking-availability-prediction-1911.10516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-hierarchical-recurrent-graph-neural-network-for-city-wide-parking-availability-prediction-1911.10516"/></url>
<url><loc>https://scifaro.com/en/abs/which-channel-to-ask-my-question-personalized-customer-service-request-stream-routing-using-deep-reinforcement-learning-1911.10521</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-channel-to-ask-my-question-personalized-customer-service-request-stream-routing-using-deep-reinforcement-learning-1911.10521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-channel-to-ask-my-question-personalized-customer-service-request-stream-routing-using-deep-reinforcement-learning-1911.10521"/></url>
<url><loc>https://scifaro.com/en/abs/merging-deterministic-policy-gradient-estimations-with-varied-bias-variance-tradeoff-for-effective-deep-reinforcement-learning-1911.10527</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/merging-deterministic-policy-gradient-estimations-with-varied-bias-variance-tradeoff-for-effective-deep-reinforcement-learning-1911.10527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/merging-deterministic-policy-gradient-estimations-with-varied-bias-variance-tradeoff-for-effective-deep-reinforcement-learning-1911.10527"/></url>
<url><loc>https://scifaro.com/en/abs/pac-learning-with-stable-and-private-predictions-1911.10541</loc><lastmod>2020-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-learning-with-stable-and-private-predictions-1911.10541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-learning-with-stable-and-private-predictions-1911.10541"/></url>
<url><loc>https://scifaro.com/en/abs/fast-polynomial-kernel-classification-for-massive-data-1911.10558</loc><lastmod>2022-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-polynomial-kernel-classification-for-massive-data-1911.10558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-polynomial-kernel-classification-for-massive-data-1911.10558"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-hypothesis-on-visual-transformation-based-self-supervision-1911.10594</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-hypothesis-on-visual-transformation-based-self-supervision-1911.10594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-hypothesis-on-visual-transformation-based-self-supervision-1911.10594"/></url>
<url><loc>https://scifaro.com/en/abs/latent-space-conditioning-for-improved-classification-and-anomaly-detection-1911.10599</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-space-conditioning-for-improved-classification-and-anomaly-detection-1911.10599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-space-conditioning-for-improved-classification-and-anomaly-detection-1911.10599"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-active-inference-1911.10601</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-active-inference-1911.10601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-active-inference-1911.10601"/></url>
<url><loc>https://scifaro.com/en/abs/anonet-weakly-supervised-anomaly-detection-in-textured-surfaces-1911.10608</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anonet-weakly-supervised-anomaly-detection-in-textured-surfaces-1911.10608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anonet-weakly-supervised-anomaly-detection-in-textured-surfaces-1911.10608"/></url>
<url><loc>https://scifaro.com/en/abs/deepsmartfuzzer-reward-guided-test-generation-for-deep-learning-1911.10621</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepsmartfuzzer-reward-guided-test-generation-for-deep-learning-1911.10621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepsmartfuzzer-reward-guided-test-generation-for-deep-learning-1911.10621"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-reinforcement-learning-a-selective-overview-of-theories-and-algorithms-1911.10635</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-reinforcement-learning-a-selective-overview-of-theories-and-algorithms-1911.10635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-reinforcement-learning-a-selective-overview-of-theories-and-algorithms-1911.10635"/></url>
<url><loc>https://scifaro.com/en/abs/orl-reinforcement-learning-benchmarks-for-online-stochastic-optimization-problems-1911.10641</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orl-reinforcement-learning-benchmarks-for-online-stochastic-optimization-problems-1911.10641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orl-reinforcement-learning-benchmarks-for-online-stochastic-optimization-problems-1911.10641"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-deep-learning-approach-for-prediction-of-parkinson-s-disease-1911.10653</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-deep-learning-approach-for-prediction-of-parkinson-s-disease-1911.10653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-deep-learning-approach-for-prediction-of-parkinson-s-disease-1911.10653"/></url>
<url><loc>https://scifaro.com/en/abs/projective-quadratic-regression-for-online-learning-1911.10658</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projective-quadratic-regression-for-online-learning-1911.10658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projective-quadratic-regression-for-online-learning-1911.10658"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-nearest-neighbor-a-general-framework-for-distance-metric-learning-1911.10674</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-nearest-neighbor-a-general-framework-for-distance-metric-learning-1911.10674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-nearest-neighbor-a-general-framework-for-distance-metric-learning-1911.10674"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-reinforcement-learning-architecture-for-multi-stage-optimal-control-1911.10684</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-reinforcement-learning-architecture-for-multi-stage-optimal-control-1911.10684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-reinforcement-learning-architecture-for-multi-stage-optimal-control-1911.10684"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-softmax-with-cross-entropy-neural-network-classifier-as-mutual-information-estimator-1911.10688</loc><lastmod>2020-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-softmax-with-cross-entropy-neural-network-classifier-as-mutual-information-estimator-1911.10688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-softmax-with-cross-entropy-neural-network-classifier-as-mutual-information-estimator-1911.10688"/></url>
<url><loc>https://scifaro.com/en/abs/when-nas-meets-robustness-in-search-of-robust-architectures-against-adversarial-attacks-1911.10695</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-nas-meets-robustness-in-search-of-robust-architectures-against-adversarial-attacks-1911.10695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-nas-meets-robustness-in-search-of-robust-architectures-against-adversarial-attacks-1911.10695"/></url>
<url><loc>https://scifaro.com/en/abs/multi-component-graph-convolutional-collaborative-filtering-1911.10699</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-component-graph-convolutional-collaborative-filtering-1911.10699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-component-graph-convolutional-collaborative-filtering-1911.10699"/></url>
<url><loc>https://scifaro.com/en/abs/non-parametric-uni-modality-constraints-for-deep-ordinal-classification-1911.10720</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-parametric-uni-modality-constraints-for-deep-ordinal-classification-1911.10720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-parametric-uni-modality-constraints-for-deep-ordinal-classification-1911.10720"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-ensemble-learning-for-online-influence-maximization-1911.10728</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-ensemble-learning-for-online-influence-maximization-1911.10728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-ensemble-learning-for-online-influence-maximization-1911.10728"/></url>
<url><loc>https://scifaro.com/en/abs/camus-a-framework-to-build-formal-specifications-for-deep-perception-systems-using-simulators-1911.10735</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/camus-a-framework-to-build-formal-specifications-for-deep-perception-systems-using-simulators-1911.10735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/camus-a-framework-to-build-formal-specifications-for-deep-perception-systems-using-simulators-1911.10735"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-normal-pca-for-interpretable-dimension-reduction-and-graphical-noise-modeling-1911.10796</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-normal-pca-for-interpretable-dimension-reduction-and-graphical-noise-modeling-1911.10796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-normal-pca-for-interpretable-dimension-reduction-and-graphical-noise-modeling-1911.10796"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-training-of-conditional-random-fields-with-probably-submodular-constraints-1911.10819</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-training-of-conditional-random-fields-with-probably-submodular-constraints-1911.10819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-training-of-conditional-random-fields-with-probably-submodular-constraints-1911.10819"/></url>
<url><loc>https://scifaro.com/en/abs/neural-random-forest-imitation-1911.10829</loc><lastmod>2024-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-random-forest-imitation-1911.10829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-random-forest-imitation-1911.10829"/></url>
<url><loc>https://scifaro.com/en/abs/disentangled-cumulants-help-successor-representations-transfer-to-new-tasks-1911.10866</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-cumulants-help-successor-representations-transfer-to-new-tasks-1911.10866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-cumulants-help-successor-representations-transfer-to-new-tasks-1911.10866"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-model-free-reinforcement-learning-for-urban-driving-using-implicit-affordances-1911.10868</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-model-free-reinforcement-learning-for-urban-driving-using-implicit-affordances-1911.10868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-model-free-reinforcement-learning-for-urban-driving-using-implicit-affordances-1911.10868"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attack-with-pattern-replacement-1911.10875</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attack-with-pattern-replacement-1911.10875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attack-with-pattern-replacement-1911.10875"/></url>
<url><loc>https://scifaro.com/en/abs/improving-vae-generations-of-multimodal-data-through-data-dependent-conditional-priors-1911.10885</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-vae-generations-of-multimodal-data-through-data-dependent-conditional-priors-1911.10885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-vae-generations-of-multimodal-data-through-data-dependent-conditional-priors-1911.10885"/></url>
<url><loc>https://scifaro.com/en/abs/invert-to-learn-to-invert-1911.10914</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invert-to-learn-to-invert-1911.10914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invert-to-learn-to-invert-1911.10914"/></url>
<url><loc>https://scifaro.com/en/abs/towards-better-understanding-of-disentangled-representations-via-mutual-information-1911.10922</loc><lastmod>2020-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-better-understanding-of-disentangled-representations-via-mutual-information-1911.10922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-better-understanding-of-disentangled-representations-via-mutual-information-1911.10922"/></url>
<url><loc>https://scifaro.com/en/abs/state-alignment-based-imitation-learning-1911.10947</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-alignment-based-imitation-learning-1911.10947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-alignment-based-imitation-learning-1911.10947"/></url>
<url><loc>https://scifaro.com/en/abs/simple-yet-effective-way-for-improving-the-performance-of-gan-1911.10979</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-yet-effective-way-for-improving-the-performance-of-gan-1911.10979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-yet-effective-way-for-improving-the-performance-of-gan-1911.10979"/></url>
<url><loc>https://scifaro.com/en/abs/a-self-adaptive-synthetic-over-sampling-technique-for-imbalanced-classification-1911.11018</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-self-adaptive-synthetic-over-sampling-technique-for-imbalanced-classification-1911.11018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-self-adaptive-synthetic-over-sampling-technique-for-imbalanced-classification-1911.11018"/></url>
<url><loc>https://scifaro.com/en/abs/architectural-configurations-atlas-granularity-and-functional-connectivity-with-diagnostic-value-in-autism-spectrum-disorder-1911.11024</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/architectural-configurations-atlas-granularity-and-functional-connectivity-with-diagnostic-value-in-autism-spectrum-disorder-1911.11024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/architectural-configurations-atlas-granularity-and-functional-connectivity-with-diagnostic-value-in-autism-spectrum-disorder-1911.11024"/></url>
<url><loc>https://scifaro.com/en/abs/making-learners-more-monotone-1911.11030</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-learners-more-monotone-1911.11030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-learners-more-monotone-1911.11030"/></url>
<url><loc>https://scifaro.com/en/abs/failure-modes-in-machine-learning-systems-1911.11034</loc><lastmod>2019-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/failure-modes-in-machine-learning-systems-1911.11034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/failure-modes-in-machine-learning-systems-1911.11034"/></url>
<url><loc>https://scifaro.com/en/abs/roipca-an-online-memory-restricted-pca-algorithm-based-on-rank-one-updates-1911.11049</loc><lastmod>2023-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/roipca-an-online-memory-restricted-pca-algorithm-based-on-rank-one-updates-1911.11049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/roipca-an-online-memory-restricted-pca-algorithm-based-on-rank-one-updates-1911.11049"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-optimize-variational-quantum-circuits-to-solve-combinatorial-problems-1911.11071</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-optimize-variational-quantum-circuits-to-solve-combinatorial-problems-1911.11071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-optimize-variational-quantum-circuits-to-solve-combinatorial-problems-1911.11071"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-of-neural-architectures-for-few-shot-learning-1911.11090</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-of-neural-architectures-for-few-shot-learning-1911.11090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-of-neural-architectures-for-few-shot-learning-1911.11090"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-global-alignment-graph-kernel-using-random-features-from-node-embedding-to-graph-embedding-1911.11119</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-global-alignment-graph-kernel-using-random-features-from-node-embedding-to-graph-embedding-1911.11119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-global-alignment-graph-kernel-using-random-features-from-node-embedding-to-graph-embedding-1911.11119"/></url>
<url><loc>https://scifaro.com/en/abs/kergm-kernelized-graph-matching-1911.11120</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kergm-kernelized-graph-matching-1911.11120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kergm-kernelized-graph-matching-1911.11120"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-global-string-kernel-with-random-features-beyond-counting-substructures-1911.11121</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-global-string-kernel-with-random-features-beyond-counting-substructures-1911.11121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-global-string-kernel-with-random-features-beyond-counting-substructures-1911.11121"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-optimal-algorithms-for-adversarial-bandit-problem-with-multiple-plays-1911.11122</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-optimal-algorithms-for-adversarial-bandit-problem-with-multiple-plays-1911.11122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-optimal-algorithms-for-adversarial-bandit-problem-with-multiple-plays-1911.11122"/></url>
<url><loc>https://scifaro.com/en/abs/rigging-the-lottery-making-all-tickets-winners-1911.11134</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rigging-the-lottery-making-all-tickets-winners-1911.11134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rigging-the-lottery-making-all-tickets-winners-1911.11134"/></url>
<url><loc>https://scifaro.com/en/abs/structured-multi-hashing-for-model-compression-1911.11177</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-multi-hashing-for-model-compression-1911.11177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-multi-hashing-for-model-compression-1911.11177"/></url>
<url><loc>https://scifaro.com/en/abs/theory-based-causal-transfer-integrating-instance-level-induction-and-abstract-level-structure-learning-1911.11185</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-based-causal-transfer-integrating-instance-level-induction-and-abstract-level-structure-learning-1911.11185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-based-causal-transfer-integrating-instance-level-induction-and-abstract-level-structure-learning-1911.11185"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-unsupervised-post-processing-calibration-method-for-dnns-with-robustness-to-domain-shift-1911.11195</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-unsupervised-post-processing-calibration-method-for-dnns-with-robustness-to-domain-shift-1911.11195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-unsupervised-post-processing-calibration-method-for-dnns-with-robustness-to-domain-shift-1911.11195"/></url>
<url><loc>https://scifaro.com/en/abs/one-man-s-trash-is-another-man-s-treasure-resisting-adversarial-examples-by-adversarial-examples-1911.11219</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-man-s-trash-is-another-man-s-treasure-resisting-adversarial-examples-by-adversarial-examples-1911.11219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-man-s-trash-is-another-man-s-treasure-resisting-adversarial-examples-by-adversarial-examples-1911.11219"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-visual-fault-detection-and-classification-system-for-semiconductor-manufacturing-using-stacked-hybrid-convolutional-neural-networks-1911.11250</loc><lastmod>2024-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-visual-fault-detection-and-classification-system-for-semiconductor-manufacturing-using-stacked-hybrid-convolutional-neural-networks-1911.11250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-visual-fault-detection-and-classification-system-for-semiconductor-manufacturing-using-stacked-hybrid-convolutional-neural-networks-1911.11250"/></url>
<url><loc>https://scifaro.com/en/abs/hexagonal-image-processing-in-the-context-of-machine-learning-conception-of-a-biologically-inspired-hexagonal-deep-learning-framework-1911.11251</loc><lastmod>2024-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hexagonal-image-processing-in-the-context-of-machine-learning-conception-of-a-biologically-inspired-hexagonal-deep-learning-framework-1911.11251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hexagonal-image-processing-in-the-context-of-machine-learning-conception-of-a-biologically-inspired-hexagonal-deep-learning-framework-1911.11251"/></url>
<url><loc>https://scifaro.com/en/abs/playing-it-safe-adversarial-robustness-with-an-abstain-option-1911.11253</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/playing-it-safe-adversarial-robustness-with-an-abstain-option-1911.11253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/playing-it-safe-adversarial-robustness-with-an-abstain-option-1911.11253"/></url>
<url><loc>https://scifaro.com/en/abs/cumulative-sum-ranking-1911.11255</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cumulative-sum-ranking-1911.11255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cumulative-sum-ranking-1911.11255"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-multi-driver-vehicle-dispatching-and-repositioning-problem-1911.11260</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-multi-driver-vehicle-dispatching-and-repositioning-problem-1911.11260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-multi-driver-vehicle-dispatching-and-repositioning-problem-1911.11260"/></url>
<url><loc>https://scifaro.com/en/abs/host-based-anomaly-detection-using-eigentraces-feature-extraction-and-one-class-classification-on-system-call-trace-data-1911.11284</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/host-based-anomaly-detection-using-eigentraces-feature-extraction-and-one-class-classification-on-system-call-trace-data-1911.11284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/host-based-anomaly-detection-using-eigentraces-feature-extraction-and-one-class-classification-on-system-call-trace-data-1911.11284"/></url>
<url><loc>https://scifaro.com/en/abs/biologically-inspired-architectures-for-sample-efficient-deep-reinforcement-learning-1911.11285</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biologically-inspired-architectures-for-sample-efficient-deep-reinforcement-learning-1911.11285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biologically-inspired-architectures-for-sample-efficient-deep-reinforcement-learning-1911.11285"/></url>
<url><loc>https://scifaro.com/en/abs/neural-graph-matching-network-learning-lawler-s-quadratic-assignment-problem-with-extension-to-hypergraph-and-multiple-graph-matching-1911.11308</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-graph-matching-network-learning-lawler-s-quadratic-assignment-problem-with-extension-to-hypergraph-and-multiple-graph-matching-1911.11308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-graph-matching-network-learning-lawler-s-quadratic-assignment-problem-with-extension-to-hypergraph-and-multiple-graph-matching-1911.11308"/></url>
<url><loc>https://scifaro.com/en/abs/effective-decoding-in-graph-auto-encoder-using-triadic-closure-1911.11322</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-decoding-in-graph-auto-encoder-using-triadic-closure-1911.11322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-decoding-in-graph-auto-encoder-using-triadic-closure-1911.11322"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-combinatorial-conservative-bandits-1911.11337</loc><lastmod>2022-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-combinatorial-conservative-bandits-1911.11337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-combinatorial-conservative-bandits-1911.11337"/></url>
<url><loc>https://scifaro.com/en/abs/an-autonomous-spectrum-management-scheme-for-unmanned-aerial-vehicle-networks-in-disaster-relief-operations-1911.11343</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-autonomous-spectrum-management-scheme-for-unmanned-aerial-vehicle-networks-in-disaster-relief-operations-1911.11343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-autonomous-spectrum-management-scheme-for-unmanned-aerial-vehicle-networks-in-disaster-relief-operations-1911.11343"/></url>
<url><loc>https://scifaro.com/en/abs/semantic-bottleneck-scene-generation-1911.11357</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantic-bottleneck-scene-generation-1911.11357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantic-bottleneck-scene-generation-1911.11357"/></url>
<url><loc>https://scifaro.com/en/abs/behavior-regularized-offline-reinforcement-learning-1911.11361</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/behavior-regularized-offline-reinforcement-learning-1911.11361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/behavior-regularized-offline-reinforcement-learning-1911.11361"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-perturbation-is-underrated-for-differentially-private-convex-optimization-1911.11363</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-perturbation-is-underrated-for-differentially-private-convex-optimization-1911.11363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-perturbation-is-underrated-for-differentially-private-convex-optimization-1911.11363"/></url>
<url><loc>https://scifaro.com/en/abs/text2facegan-face-generation-from-fine-grained-textual-descriptions-1911.11378</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/text2facegan-face-generation-from-fine-grained-textual-descriptions-1911.11378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/text2facegan-face-generation-from-fine-grained-textual-descriptions-1911.11378"/></url>
<url><loc>https://scifaro.com/en/abs/using-physics-informed-super-resolution-generative-adversarial-networks-for-subgrid-modeling-in-turbulent-reactive-flows-1911.11380</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-physics-informed-super-resolution-generative-adversarial-networks-for-subgrid-modeling-in-turbulent-reactive-flows-1911.11380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-physics-informed-super-resolution-generative-adversarial-networks-for-subgrid-modeling-in-turbulent-reactive-flows-1911.11380"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-multiple-clusterings-using-deep-matrix-factorization-1911.11396</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-multiple-clusterings-using-deep-matrix-factorization-1911.11396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-multiple-clusterings-using-deep-matrix-factorization-1911.11396"/></url>
<url><loc>https://scifaro.com/en/abs/independence-promoted-graph-disentangled-networks-1911.11430</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/independence-promoted-graph-disentangled-networks-1911.11430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/independence-promoted-graph-disentangled-networks-1911.11430"/></url>
<url><loc>https://scifaro.com/en/abs/you-might-also-like-this-model-data-driven-approach-for-recommending-deep-learning-models-for-unknown-image-datasets-1911.11433</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/you-might-also-like-this-model-data-driven-approach-for-recommending-deep-learning-models-for-unknown-image-datasets-1911.11433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/you-might-also-like-this-model-data-driven-approach-for-recommending-deep-learning-models-for-unknown-image-datasets-1911.11433"/></url>
<url><loc>https://scifaro.com/en/abs/control-tutored-reinforcement-learning-an-application-to-the-herding-problem-1911.11444</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/control-tutored-reinforcement-learning-an-application-to-the-herding-problem-1911.11444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/control-tutored-reinforcement-learning-an-application-to-the-herding-problem-1911.11444"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-of-chance-constrained-submodular-functions-1911.11451</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-of-chance-constrained-submodular-functions-1911.11451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-of-chance-constrained-submodular-functions-1911.11451"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-architectures-using-meta-learning-1911.11481</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-architectures-using-meta-learning-1911.11481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-architectures-using-meta-learning-1911.11481"/></url>
<url><loc>https://scifaro.com/en/abs/generative-temporal-link-prediction-via-self-tokenized-sequence-modeling-1911.11486</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-temporal-link-prediction-via-self-tokenized-sequence-modeling-1911.11486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-temporal-link-prediction-via-self-tokenized-sequence-modeling-1911.11486"/></url>
<url><loc>https://scifaro.com/en/abs/fca2vec-embedding-techniques-for-formal-concept-analysis-1911.11496</loc><lastmod>2023-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fca2vec-embedding-techniques-for-formal-concept-analysis-1911.11496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fca2vec-embedding-techniques-for-formal-concept-analysis-1911.11496"/></url>
<url><loc>https://scifaro.com/en/abs/word-class-embeddings-for-multiclass-text-classification-1911.11506</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/word-class-embeddings-for-multiclass-text-classification-1911.11506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/word-class-embeddings-for-multiclass-text-classification-1911.11506"/></url>
<url><loc>https://scifaro.com/en/abs/electricity-load-forecasting-an-evaluation-of-simple-1d-cnn-network-structures-1911.11536</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/electricity-load-forecasting-an-evaluation-of-simple-1d-cnn-network-structures-1911.11536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/electricity-load-forecasting-an-evaluation-of-simple-1d-cnn-network-structures-1911.11536"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-prediction-of-graph-signals-with-incoming-nodes-1911.11542</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-prediction-of-graph-signals-with-incoming-nodes-1911.11542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-prediction-of-graph-signals-with-incoming-nodes-1911.11542"/></url>
<url><loc>https://scifaro.com/en/abs/on-functional-test-generation-for-deep-neural-network-ips-1911.11550</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-functional-test-generation-for-deep-neural-network-ips-1911.11550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-functional-test-generation-for-deep-neural-network-ips-1911.11550"/></url>
<url><loc>https://scifaro.com/en/abs/network-intrusion-detection-based-on-lstm-and-feature-embedding-1911.11552</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-intrusion-detection-based-on-lstm-and-feature-embedding-1911.11552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-intrusion-detection-based-on-lstm-and-feature-embedding-1911.11552"/></url>
<url><loc>https://scifaro.com/en/abs/multi-source-distilling-domain-adaptation-1911.11554</loc><lastmod>2020-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-source-distilling-domain-adaptation-1911.11554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-source-distilling-domain-adaptation-1911.11554"/></url>
<url><loc>https://scifaro.com/en/abs/fair-multi-party-machine-learning-a-game-theoretic-approach-1911.11555</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-multi-party-machine-learning-a-game-theoretic-approach-1911.11555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-multi-party-machine-learning-a-game-theoretic-approach-1911.11555"/></url>
<url><loc>https://scifaro.com/en/abs/fairyted-a-fair-rating-predictor-for-ted-talk-data-1911.11558</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairyted-a-fair-rating-predictor-for-ted-talk-data-1911.11558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairyted-a-fair-rating-predictor-for-ted-talk-data-1911.11558"/></url>
<url><loc>https://scifaro.com/en/abs/correlative-channel-aware-fusion-for-multi-view-time-series-classification-1911.11561</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlative-channel-aware-fusion-for-multi-view-time-series-classification-1911.11561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlative-channel-aware-fusion-for-multi-view-time-series-classification-1911.11561"/></url>
<url><loc>https://scifaro.com/en/abs/from-persistent-homology-to-reinforcement-learning-with-applications-for-retail-banking-1911.11573</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-persistent-homology-to-reinforcement-learning-with-applications-for-retail-banking-1911.11573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-persistent-homology-to-reinforcement-learning-with-applications-for-retail-banking-1911.11573"/></url>
<url><loc>https://scifaro.com/en/abs/distortion-and-faults-in-machine-learning-software-1911.11596</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distortion-and-faults-in-machine-learning-software-1911.11596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distortion-and-faults-in-machine-learning-software-1911.11596"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-with-gaussian-differential-privacy-1911.11607</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-with-gaussian-differential-privacy-1911.11607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-with-gaussian-differential-privacy-1911.11607"/></url>
<url><loc>https://scifaro.com/en/abs/a-discriminative-condition-aware-backend-for-speaker-verification-1911.11622</loc><lastmod>2020-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-discriminative-condition-aware-backend-for-speaker-verification-1911.11622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-discriminative-condition-aware-backend-for-speaker-verification-1911.11622"/></url>
<url><loc>https://scifaro.com/en/abs/biology-and-compositionality-empirical-considerations-for-emergent-communication-protocols-1911.11668</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biology-and-compositionality-empirical-considerations-for-emergent-communication-protocols-1911.11668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biology-and-compositionality-empirical-considerations-for-emergent-communication-protocols-1911.11668"/></url>
<url><loc>https://scifaro.com/en/abs/the-problem-with-ddpg-understanding-failures-in-deterministic-environments-with-sparse-rewards-1911.11679</loc><lastmod>2022-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-problem-with-ddpg-understanding-failures-in-deterministic-environments-with-sparse-rewards-1911.11679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-problem-with-ddpg-understanding-failures-in-deterministic-environments-with-sparse-rewards-1911.11679"/></url>
<url><loc>https://scifaro.com/en/abs/emergent-structures-and-lifetime-structure-evolution-in-artificial-neural-networks-1911.11691</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emergent-structures-and-lifetime-structure-evolution-in-artificial-neural-networks-1911.11691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emergent-structures-and-lifetime-structure-evolution-in-artificial-neural-networks-1911.11691"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-horizontal-data-partitioning-through-query-execution-cost-estimation-1911.11725</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-horizontal-data-partitioning-through-query-execution-cost-estimation-1911.11725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-horizontal-data-partitioning-through-query-execution-cost-estimation-1911.11725"/></url>
<url><loc>https://scifaro.com/en/abs/network-embedding-an-overview-1911.11726</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-embedding-an-overview-1911.11726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-embedding-an-overview-1911.11726"/></url>
<url><loc>https://scifaro.com/en/abs/on-scaling-data-driven-loop-invariant-inference-1911.11728</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-scaling-data-driven-loop-invariant-inference-1911.11728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-scaling-data-driven-loop-invariant-inference-1911.11728"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-composer-classification-1911.11737</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-composer-classification-1911.11737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-composer-classification-1911.11737"/></url>
<url><loc>https://scifaro.com/en/abs/device-free-user-authentication-activity-classification-and-tracking-using-passive-wi-fi-sensing-a-deep-learning-based-approach-1911.11743</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/device-free-user-authentication-activity-classification-and-tracking-using-passive-wi-fi-sensing-a-deep-learning-based-approach-1911.11743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/device-free-user-authentication-activity-classification-and-tracking-using-passive-wi-fi-sensing-a-deep-learning-based-approach-1911.11743"/></url>
<url><loc>https://scifaro.com/en/abs/a-measure-of-similarity-in-textual-data-using-spearman-s-rank-correlation-coefficient-1911.11750</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-measure-of-similarity-in-textual-data-using-spearman-s-rank-correlation-coefficient-1911.11750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-measure-of-similarity-in-textual-data-using-spearman-s-rank-correlation-coefficient-1911.11750"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-for-text-classification-by-layer-partitioning-1911.11756</loc><lastmod>2019-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-for-text-classification-by-layer-partitioning-1911.11756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-for-text-classification-by-layer-partitioning-1911.11756"/></url>
<url><loc>https://scifaro.com/en/abs/a-preliminary-study-of-disentanglement-with-insights-on-the-inadequacy-of-metrics-1911.11791</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-preliminary-study-of-disentanglement-with-insights-on-the-inadequacy-of-metrics-1911.11791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-preliminary-study-of-disentanglement-with-insights-on-the-inadequacy-of-metrics-1911.11791"/></url>
<url><loc>https://scifaro.com/en/abs/timecaps-capturing-time-series-data-with-capsule-networks-1911.11800</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/timecaps-capturing-time-series-data-with-capsule-networks-1911.11800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/timecaps-capturing-time-series-data-with-capsule-networks-1911.11800"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-for-ranking-browser-history-suggestions-1911.11807</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-for-ranking-browser-history-suggestions-1911.11807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-for-ranking-browser-history-suggestions-1911.11807"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-the-permanent-by-sampling-from-adaptive-partitions-1911.11856</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-the-permanent-by-sampling-from-adaptive-partitions-1911.11856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-the-permanent-by-sampling-from-adaptive-partitions-1911.11856"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-view-of-adversarial-robustness-from-test-time-smoothing-defense-1911.11881</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-view-of-adversarial-robustness-from-test-time-smoothing-defense-1911.11881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-view-of-adversarial-robustness-from-test-time-smoothing-defense-1911.11881"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-models-by-propagating-shapley-values-of-local-components-1911.11888</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-models-by-propagating-shapley-values-of-local-components-1911.11888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-models-by-propagating-shapley-values-of-local-components-1911.11888"/></url>
<url><loc>https://scifaro.com/en/abs/single-sample-feature-importance-an-interpretable-algorithm-for-low-level-feature-analysis-1911.11901</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-sample-feature-importance-an-interpretable-algorithm-for-low-level-feature-analysis-1911.11901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-sample-feature-importance-an-interpretable-algorithm-for-low-level-feature-analysis-1911.11901"/></url>
<url><loc>https://scifaro.com/en/abs/lifelong-spectral-clustering-1911.11908</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifelong-spectral-clustering-1911.11908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifelong-spectral-clustering-1911.11908"/></url>
<url><loc>https://scifaro.com/en/abs/improving-fictitious-play-reinforcement-learning-with-expanding-models-1911.11928</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-fictitious-play-reinforcement-learning-with-expanding-models-1911.11928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-fictitious-play-reinforcement-learning-with-expanding-models-1911.11928"/></url>
<url><loc>https://scifaro.com/en/abs/novelty-detection-via-blurring-1911.11943</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novelty-detection-via-blurring-1911.11943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novelty-detection-via-blurring-1911.11943"/></url>
<url><loc>https://scifaro.com/en/abs/label-dependent-deep-variational-paraphrase-generation-1911.11952</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-dependent-deep-variational-paraphrase-generation-1911.11952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-dependent-deep-variational-paraphrase-generation-1911.11952"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-machine-learning-based-elderly-fall-detection-algorithm-1911.11976</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-machine-learning-based-elderly-fall-detection-algorithm-1911.11976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-machine-learning-based-elderly-fall-detection-algorithm-1911.11976"/></url>
<url><loc>https://scifaro.com/en/abs/benefits-of-jointly-training-autoencoders-an-improved-neural-tangent-kernel-analysis-1911.11983</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benefits-of-jointly-training-autoencoders-an-improved-neural-tangent-kernel-analysis-1911.11983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benefits-of-jointly-training-autoencoders-an-improved-neural-tangent-kernel-analysis-1911.11983"/></url>
<url><loc>https://scifaro.com/en/abs/sag-vae-end-to-end-joint-inference-of-data-representations-and-feature-relations-1911.11984</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sag-vae-end-to-end-joint-inference-of-data-representations-and-feature-relations-1911.11984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sag-vae-end-to-end-joint-inference-of-data-representations-and-feature-relations-1911.11984"/></url>
<url><loc>https://scifaro.com/en/abs/grim-repr-prioritising-generating-important-features-for-pseudo-rehearsal-1911.11988</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grim-repr-prioritising-generating-important-features-for-pseudo-rehearsal-1911.11988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grim-repr-prioritising-generating-important-features-for-pseudo-rehearsal-1911.11988"/></url>
<url><loc>https://scifaro.com/en/abs/securegbm-secure-multi-party-gradient-boosting-1911.11997</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/securegbm-secure-multi-party-gradient-boosting-1911.11997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/securegbm-secure-multi-party-gradient-boosting-1911.11997"/></url>
<url><loc>https://scifaro.com/en/abs/a-tale-of-two-toolkits-report-the-second-bake-off-redux-chapter-1-dictionary-based-classifiers-1911.12008</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tale-of-two-toolkits-report-the-second-bake-off-redux-chapter-1-dictionary-based-classifiers-1911.12008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tale-of-two-toolkits-report-the-second-bake-off-redux-chapter-1-dictionary-based-classifiers-1911.12008"/></url>
<url><loc>https://scifaro.com/en/abs/multi-range-attentive-bicomponent-graph-convolutional-network-for-traffic-forecasting-1911.12093</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-range-attentive-bicomponent-graph-convolutional-network-for-traffic-forecasting-1911.12093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-range-attentive-bicomponent-graph-convolutional-network-for-traffic-forecasting-1911.12093"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-initialization-method-for-k-means-algorithm-1911.12104</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-initialization-method-for-k-means-algorithm-1911.12104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-initialization-method-for-k-means-algorithm-1911.12104"/></url>
<url><loc>https://scifaro.com/en/abs/towards-similarity-graphs-constructed-by-deep-reinforcement-learning-1911.12122</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-similarity-graphs-constructed-by-deep-reinforcement-learning-1911.12122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-similarity-graphs-constructed-by-deep-reinforcement-learning-1911.12122"/></url>
<url><loc>https://scifaro.com/en/abs/fair-darts-eliminating-unfair-advantages-in-differentiable-architecture-search-1911.12126</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-darts-eliminating-unfair-advantages-in-differentiable-architecture-search-1911.12126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-darts-eliminating-unfair-advantages-in-differentiable-architecture-search-1911.12126"/></url>
<url><loc>https://scifaro.com/en/abs/city2city-translating-place-representations-across-cities-1911.12143</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/city2city-translating-place-representations-across-cities-1911.12143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/city2city-translating-place-representations-across-cities-1911.12143"/></url>
<url><loc>https://scifaro.com/en/abs/high-and-low-level-image-component-decomposition-using-vaes-for-improved-reconstruction-and-anomaly-detection-1911.12161</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-and-low-level-image-component-decomposition-using-vaes-for-improved-reconstruction-and-anomaly-detection-1911.12161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-and-low-level-image-component-decomposition-using-vaes-for-improved-reconstruction-and-anomaly-detection-1911.12161"/></url>
<url><loc>https://scifaro.com/en/abs/the-nonstochastic-control-problem-1911.12178</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-nonstochastic-control-problem-1911.12178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-nonstochastic-control-problem-1911.12178"/></url>
<url><loc>https://scifaro.com/en/abs/focus-flexible-optimizable-counterfactual-explanations-for-tree-ensembles-1911.12199</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/focus-flexible-optimizable-counterfactual-explanations-for-tree-ensembles-1911.12199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/focus-flexible-optimizable-counterfactual-explanations-for-tree-ensembles-1911.12199"/></url>
<url><loc>https://scifaro.com/en/abs/adacare-explainable-clinical-health-status-representation-learning-via-scale-adaptive-feature-extraction-and-recalibration-1911.12205</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adacare-explainable-clinical-health-status-representation-learning-via-scale-adaptive-feature-extraction-and-recalibration-1911.12205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adacare-explainable-clinical-health-status-representation-learning-via-scale-adaptive-feature-extraction-and-recalibration-1911.12205"/></url>
<url><loc>https://scifaro.com/en/abs/concare-personalized-clinical-feature-embedding-via-capturing-the-healthcare-context-1911.12216</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concare-personalized-clinical-feature-embedding-via-capturing-the-healthcare-context-1911.12216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concare-personalized-clinical-feature-embedding-via-capturing-the-healthcare-context-1911.12216"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-classification-for-automatic-tag-prediction-in-the-context-of-programming-challenges-1911.12224</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-classification-for-automatic-tag-prediction-in-the-context-of-programming-challenges-1911.12224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-classification-for-automatic-tag-prediction-in-the-context-of-programming-challenges-1911.12224"/></url>
<url><loc>https://scifaro.com/en/abs/social-attention-for-autonomous-decision-making-in-dense-traffic-1911.12250</loc><lastmod>2019-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/social-attention-for-autonomous-decision-making-in-dense-traffic-1911.12250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/social-attention-for-autonomous-decision-making-in-dense-traffic-1911.12250"/></url>
<url><loc>https://scifaro.com/en/abs/stability-of-the-decoupled-extended-kalman-filter-learning-algorithm-in-lstm-based-online-learning-1911.12258</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-of-the-decoupled-extended-kalman-filter-learning-algorithm-in-lstm-based-online-learning-1911.12258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-of-the-decoupled-extended-kalman-filter-learning-algorithm-in-lstm-based-online-learning-1911.12258"/></url>
<url><loc>https://scifaro.com/en/abs/your-local-gan-designing-two-dimensional-local-attention-mechanisms-for-generative-models-1911.12287</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/your-local-gan-designing-two-dimensional-local-attention-mechanisms-for-generative-models-1911.12287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/your-local-gan-designing-two-dimensional-local-attention-mechanisms-for-generative-models-1911.12287"/></url>
<url><loc>https://scifaro.com/en/abs/crypto-oriented-neural-architecture-design-1911.12322</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crypto-oriented-neural-architecture-design-1911.12322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crypto-oriented-neural-architecture-design-1911.12322"/></url>
<url><loc>https://scifaro.com/en/abs/how-much-over-parameterization-is-sufficient-to-learn-deep-relu-networks-1911.12360</loc><lastmod>2022-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-much-over-parameterization-is-sufficient-to-learn-deep-relu-networks-1911.12360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-much-over-parameterization-is-sufficient-to-learn-deep-relu-networks-1911.12360"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-hierarchical-bayesian-tucker-decomposition-for-genetic-data-analysis-1911.12426</loc><lastmod>2025-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-hierarchical-bayesian-tucker-decomposition-for-genetic-data-analysis-1911.12426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-hierarchical-bayesian-tucker-decomposition-for-genetic-data-analysis-1911.12426"/></url>
<url><loc>https://scifaro.com/en/abs/ar-net-a-simple-auto-regressive-neural-network-for-time-series-1911.12436</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ar-net-a-simple-auto-regressive-neural-network-for-time-series-1911.12436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ar-net-a-simple-auto-regressive-neural-network-for-time-series-1911.12436"/></url>
<url><loc>https://scifaro.com/en/abs/improving-model-robustness-using-causal-knowledge-1911.12441</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-model-robustness-using-causal-knowledge-1911.12441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-model-robustness-using-causal-knowledge-1911.12441"/></url>
<url><loc>https://scifaro.com/en/abs/calibrationless-parallel-mri-using-model-based-deep-learning-c-modl-1911.12443</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrationless-parallel-mri-using-model-based-deep-learning-c-modl-1911.12443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrationless-parallel-mri-using-model-based-deep-learning-c-modl-1911.12443"/></url>
<url><loc>https://scifaro.com/en/abs/qubithd-a-stochastic-acceleration-method-for-hd-computing-based-machine-learning-1911.12446</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qubithd-a-stochastic-acceleration-method-for-hd-computing-based-machine-learning-1911.12446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qubithd-a-stochastic-acceleration-method-for-hd-computing-based-machine-learning-1911.12446"/></url>
<url><loc>https://scifaro.com/en/abs/information-geometric-set-embeddings-igse-from-sets-to-probability-distributions-1911.12463</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-geometric-set-embeddings-igse-from-sets-to-probability-distributions-1911.12463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-geometric-set-embeddings-igse-from-sets-to-probability-distributions-1911.12463"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-hydrological-and-suspended-sediment-events-from-mad-river-watershed-using-multivariate-time-series-clustering-1911.12466</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-hydrological-and-suspended-sediment-events-from-mad-river-watershed-using-multivariate-time-series-clustering-1911.12466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-hydrological-and-suspended-sediment-events-from-mad-river-watershed-using-multivariate-time-series-clustering-1911.12466"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-for-categorical-and-category-specific-continuous-inputs-1911.12473</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-for-categorical-and-category-specific-continuous-inputs-1911.12473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-for-categorical-and-category-specific-continuous-inputs-1911.12473"/></url>
<url><loc>https://scifaro.com/en/abs/product-knowledge-graph-embedding-for-e-commerce-1911.12481</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/product-knowledge-graph-embedding-for-e-commerce-1911.12481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/product-knowledge-graph-embedding-for-e-commerce-1911.12481"/></url>
<url><loc>https://scifaro.com/en/abs/dual-attention-graph-convolutional-network-1911.12486</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-attention-graph-convolutional-network-1911.12486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-attention-graph-convolutional-network-1911.12486"/></url>
<url><loc>https://scifaro.com/en/abs/augmentation-methods-on-monophonic-audio-for-instrument-classification-in-polyphonic-music-1911.12505</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmentation-methods-on-monophonic-audio-for-instrument-classification-in-polyphonic-music-1911.12505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmentation-methods-on-monophonic-audio-for-instrument-classification-in-polyphonic-music-1911.12505"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-evaluation-of-deep-metric-learning-algorithms-1911.12528</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-evaluation-of-deep-metric-learning-algorithms-1911.12528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-evaluation-of-deep-metric-learning-algorithms-1911.12528"/></url>
<url><loc>https://scifaro.com/en/abs/u-cnnpred-a-universal-cnn-based-predictor-for-stock-markets-1911.12540</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/u-cnnpred-a-universal-cnn-based-predictor-for-stock-markets-1911.12540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/u-cnnpred-a-universal-cnn-based-predictor-for-stock-markets-1911.12540"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-random-search-for-quadcopter-control-an-alternative-to-reinforcement-learning-1911.12553</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-random-search-for-quadcopter-control-an-alternative-to-reinforcement-learning-1911.12553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-random-search-for-quadcopter-control-an-alternative-to-reinforcement-learning-1911.12553"/></url>
<url><loc>https://scifaro.com/en/abs/free-riders-in-federated-learning-attacks-and-defenses-1911.12560</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/free-riders-in-federated-learning-attacks-and-defenses-1911.12560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/free-riders-in-federated-learning-attacks-and-defenses-1911.12560"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-estimation-of-change-in-a-population-of-parameters-1911.12568</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-estimation-of-change-in-a-population-of-parameters-1911.12568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-estimation-of-change-in-a-population-of-parameters-1911.12568"/></url>
<url><loc>https://scifaro.com/en/abs/deep-model-based-reinforcement-learning-via-estimated-uncertainty-and-conservative-policy-optimization-1911.12574</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-model-based-reinforcement-learning-via-estimated-uncertainty-and-conservative-policy-optimization-1911.12574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-model-based-reinforcement-learning-via-estimated-uncertainty-and-conservative-policy-optimization-1911.12574"/></url>
<url><loc>https://scifaro.com/en/abs/stable-learning-via-sample-reweighting-1911.12580</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-learning-via-sample-reweighting-1911.12580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-learning-via-sample-reweighting-1911.12580"/></url>
<url><loc>https://scifaro.com/en/abs/fairprep-promoting-data-to-a-first-class-citizen-in-studies-on-fairness-enhancing-interventions-1911.12587</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairprep-promoting-data-to-a-first-class-citizen-in-studies-on-fairness-enhancing-interventions-1911.12587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairprep-promoting-data-to-a-first-class-citizen-in-studies-on-fairness-enhancing-interventions-1911.12587"/></url>
<url><loc>https://scifaro.com/en/abs/understand-dynamic-regret-with-switching-cost-for-online-decision-making-1911.12595</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understand-dynamic-regret-with-switching-cost-for-online-decision-making-1911.12595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understand-dynamic-regret-with-switching-cost-for-online-decision-making-1911.12595"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalization-theory-based-on-independent-and-task-identically-distributed-assumption-1911.12603</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalization-theory-based-on-independent-and-task-identically-distributed-assumption-1911.12603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalization-theory-based-on-independent-and-task-identically-distributed-assumption-1911.12603"/></url>
<url><loc>https://scifaro.com/en/abs/the-weighted-tsetlin-machine-compressed-representations-with-weighted-clauses-1911.12607</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-weighted-tsetlin-machine-compressed-representations-with-weighted-clauses-1911.12607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-weighted-tsetlin-machine-compressed-representations-with-weighted-clauses-1911.12607"/></url>
<url><loc>https://scifaro.com/en/abs/d-spider-sfo-a-decentralized-optimization-algorithm-with-faster-convergence-rate-for-nonconvex-problems-1911.12665</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/d-spider-sfo-a-decentralized-optimization-algorithm-with-faster-convergence-rate-for-nonconvex-problems-1911.12665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/d-spider-sfo-a-decentralized-optimization-algorithm-with-faster-convergence-rate-for-nonconvex-problems-1911.12665"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-compression-of-convolutional-neural-networks-1911.12740</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-compression-of-convolutional-neural-networks-1911.12740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-compression-of-convolutional-neural-networks-1911.12740"/></url>
<url><loc>https://scifaro.com/en/abs/using-vaes-and-normalizing-flows-for-one-shot-text-to-speech-synthesis-of-expressive-speech-1911.12760</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-vaes-and-normalizing-flows-for-one-shot-text-to-speech-synthesis-of-expressive-speech-1911.12760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-vaes-and-normalizing-flows-for-one-shot-text-to-speech-synthesis-of-expressive-speech-1911.12760"/></url>
<url><loc>https://scifaro.com/en/abs/detection-and-mitigation-of-rare-subclasses-in-deep-neural-network-classifiers-1911.12780</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-and-mitigation-of-rare-subclasses-in-deep-neural-network-classifiers-1911.12780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-and-mitigation-of-rare-subclasses-in-deep-neural-network-classifiers-1911.12780"/></url>
<url><loc>https://scifaro.com/en/abs/greed-is-good-exploration-and-exploitation-trade-offs-in-bayesian-optimisation-1911.12809</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greed-is-good-exploration-and-exploitation-trade-offs-in-bayesian-optimisation-1911.12809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greed-is-good-exploration-and-exploitation-trade-offs-in-bayesian-optimisation-1911.12809"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-inspired-analog-to-digital-conversion-to-achieve-super-resolution-with-low-precision-rram-devices-1911.12815</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-inspired-analog-to-digital-conversion-to-achieve-super-resolution-with-low-precision-rram-devices-1911.12815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-inspired-analog-to-digital-conversion-to-achieve-super-resolution-with-low-precision-rram-devices-1911.12815"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-lower-bounds-for-simple-policy-iteration-1911.12842</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-lower-bounds-for-simple-policy-iteration-1911.12842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-lower-bounds-for-simple-policy-iteration-1911.12842"/></url>
<url><loc>https://scifaro.com/en/abs/self-attention-with-functional-time-representation-learning-1911.12864</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-attention-with-functional-time-representation-learning-1911.12864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-attention-with-functional-time-representation-learning-1911.12864"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-a-low-cost-air-pollution-network-1911.12868</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-a-low-cost-air-pollution-network-1911.12868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-a-low-cost-air-pollution-network-1911.12868"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-distributed-online-learning-with-kernels-1911.12899</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-distributed-online-learning-with-kernels-1911.12899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-distributed-online-learning-with-kernels-1911.12899"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-based-reinforcement-learning-for-real-world-autonomous-driving-1911.12905</loc><lastmod>2024-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-based-reinforcement-learning-for-real-world-autonomous-driving-1911.12905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-based-reinforcement-learning-for-real-world-autonomous-driving-1911.12905"/></url>
<url><loc>https://scifaro.com/en/abs/spatiotemporal-deep-learning-model-for-citywide-air-pollution-interpolation-and-prediction-1911.12919</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatiotemporal-deep-learning-model-for-citywide-air-pollution-interpolation-and-prediction-1911.12919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatiotemporal-deep-learning-model-for-citywide-air-pollution-interpolation-and-prediction-1911.12919"/></url>
<url><loc>https://scifaro.com/en/abs/tropical-polynomial-division-and-neural-networks-1911.12922</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tropical-polynomial-division-and-neural-networks-1911.12922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tropical-polynomial-division-and-neural-networks-1911.12922"/></url>
<url><loc>https://scifaro.com/en/abs/richer-priors-for-infinitely-wide-multi-layer-perceptrons-1911.12927</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/richer-priors-for-infinitely-wide-multi-layer-perceptrons-1911.12927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/richer-priors-for-infinitely-wide-multi-layer-perceptrons-1911.12927"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-and-low-rank-high-order-tensor-regression-via-parallel-proximal-method-1911.12965</loc><lastmod>2023-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-and-low-rank-high-order-tensor-regression-via-parallel-proximal-method-1911.12965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-and-low-rank-high-order-tensor-regression-via-parallel-proximal-method-1911.12965"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-planning-for-time-varying-mdps-using-maximum-likelihood-estimation-1911.12976</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-planning-for-time-varying-mdps-using-maximum-likelihood-estimation-1911.12976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-planning-for-time-varying-mdps-using-maximum-likelihood-estimation-1911.12976"/></url>
<url><loc>https://scifaro.com/en/abs/class-teaching-for-inverse-reinforcement-learners-1911.13009</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-teaching-for-inverse-reinforcement-learners-1911.13009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-teaching-for-inverse-reinforcement-learners-1911.13009"/></url>
<url><loc>https://scifaro.com/en/abs/towards-oracle-knowledge-distillation-with-neural-architecture-search-1911.13019</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-oracle-knowledge-distillation-with-neural-architecture-search-1911.13019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-oracle-knowledge-distillation-with-neural-architecture-search-1911.13019"/></url>
<url><loc>https://scifaro.com/en/abs/model-structures-and-fitting-criteria-for-system-identification-with-neural-networks-1911.13034</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-structures-and-fitting-criteria-for-system-identification-with-neural-networks-1911.13034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-structures-and-fitting-criteria-for-system-identification-with-neural-networks-1911.13034"/></url>
<url><loc>https://scifaro.com/en/abs/deep-networks-with-adaptive-nystr-om-approximation-1911.13036</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-networks-with-adaptive-nystr-om-approximation-1911.13036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-networks-with-adaptive-nystr-om-approximation-1911.13036"/></url>
<url><loc>https://scifaro.com/en/abs/on-model-selection-for-scalable-time-series-forecasting-in-transport-networks-1911.13042</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-model-selection-for-scalable-time-series-forecasting-in-transport-networks-1911.13042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-model-selection-for-scalable-time-series-forecasting-in-transport-networks-1911.13042"/></url>
<url><loc>https://scifaro.com/en/abs/learning-structured-representations-of-spatial-and-interactive-dynamics-for-trajectory-prediction-in-crowded-scenes-1911.13044</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-structured-representations-of-spatial-and-interactive-dynamics-for-trajectory-prediction-in-crowded-scenes-1911.13044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-structured-representations-of-spatial-and-interactive-dynamics-for-trajectory-prediction-in-crowded-scenes-1911.13044"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-wasserstein-gans-1911.13060</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-wasserstein-gans-1911.13060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-wasserstein-gans-1911.13060"/></url>
<url><loc>https://scifaro.com/en/abs/sparsely-grouped-input-variables-for-neural-networks-1911.13068</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsely-grouped-input-variables-for-neural-networks-1911.13068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsely-grouped-input-variables-for-neural-networks-1911.13068"/></url>
<url><loc>https://scifaro.com/en/abs/method-and-dataset-mining-in-scientific-papers-1911.13096</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/method-and-dataset-mining-in-scientific-papers-1911.13096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/method-and-dataset-mining-in-scientific-papers-1911.13096"/></url>
<url><loc>https://scifaro.com/en/abs/radon-sobolev-variational-auto-encoders-1911.13135</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/radon-sobolev-variational-auto-encoders-1911.13135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/radon-sobolev-variational-auto-encoders-1911.13135"/></url>
<url><loc>https://scifaro.com/en/abs/induction-of-subgoal-automata-for-reinforcement-learning-1911.13152</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/induction-of-subgoal-automata-for-reinforcement-learning-1911.13152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/induction-of-subgoal-automata-for-reinforcement-learning-1911.13152"/></url>
<url><loc>https://scifaro.com/en/abs/viable-fast-adaptation-via-backpropagating-learned-loss-1911.13159</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/viable-fast-adaptation-via-backpropagating-learned-loss-1911.13159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/viable-fast-adaptation-via-backpropagating-learned-loss-1911.13159"/></url>
<url><loc>https://scifaro.com/en/abs/deep-autofocus-with-cone-beam-ct-consistency-constraint-1911.13162</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-autofocus-with-cone-beam-ct-consistency-constraint-1911.13162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-autofocus-with-cone-beam-ct-consistency-constraint-1911.13162"/></url>
<url><loc>https://scifaro.com/en/abs/mean-shift-rejection-training-deep-neural-networks-without-minibatch-statistics-or-normalization-1911.13173</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-shift-rejection-training-deep-neural-networks-without-minibatch-statistics-or-normalization-1911.13173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-shift-rejection-training-deep-neural-networks-without-minibatch-statistics-or-normalization-1911.13173"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-prediction-of-parking-area-states-using-real-time-data-and-machine-learning-techniques-1911.13178</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-prediction-of-parking-area-states-using-real-time-data-and-machine-learning-techniques-1911.13178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-prediction-of-parking-area-states-using-real-time-data-and-machine-learning-techniques-1911.13178"/></url>
<url><loc>https://scifaro.com/en/abs/st-grat-a-novel-spatio-temporal-graph-attention-network-for-accurately-forecasting-dynamically-changing-road-speed-1911.13181</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/st-grat-a-novel-spatio-temporal-graph-attention-network-for-accurately-forecasting-dynamically-changing-road-speed-1911.13181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/st-grat-a-novel-spatio-temporal-graph-attention-network-for-accurately-forecasting-dynamically-changing-road-speed-1911.13181"/></url>
<url><loc>https://scifaro.com/en/abs/destress-deep-learning-for-unsupervised-identification-of-mental-stress-in-firefighters-from-heart-rate-variability-hrv-data-1911.13213</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/destress-deep-learning-for-unsupervised-identification-of-mental-stress-in-firefighters-from-heart-rate-variability-hrv-data-1911.13213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/destress-deep-learning-for-unsupervised-identification-of-mental-stress-in-firefighters-from-heart-rate-variability-hrv-data-1911.13213"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-checkpointing-for-heterogeneous-chains-how-to-train-deep-neural-networks-with-limited-memory-1911.13214</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-checkpointing-for-heterogeneous-chains-how-to-train-deep-neural-networks-with-limited-memory-1911.13214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-checkpointing-for-heterogeneous-chains-how-to-train-deep-neural-networks-with-limited-memory-1911.13214"/></url>
<url><loc>https://scifaro.com/en/abs/modelhub-ai-dissemination-platform-for-deep-learning-models-1911.13218</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelhub-ai-dissemination-platform-for-deep-learning-models-1911.13218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelhub-ai-dissemination-platform-for-deep-learning-models-1911.13218"/></url>
<url><loc>https://scifaro.com/en/abs/conan-complementary-pattern-augmentation-for-rare-disease-detection-1911.13232</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conan-complementary-pattern-augmentation-for-rare-disease-detection-1911.13232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conan-complementary-pattern-augmentation-for-rare-disease-detection-1911.13232"/></url>
<url><loc>https://scifaro.com/en/abs/domain-aware-dynamic-networks-1911.13237</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-aware-dynamic-networks-1911.13237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-aware-dynamic-networks-1911.13237"/></url>
<url><loc>https://scifaro.com/en/abs/authorgan-improving-gan-reproducibility-using-a-modular-gan-framework-1911.13250</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/authorgan-improving-gan-reproducibility-using-a-modular-gan-framework-1911.13250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/authorgan-improving-gan-reproducibility-using-a-modular-gan-framework-1911.13250"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimized-and-energy-efficient-parallel-implementation-of-non-iteratively-trained-recurrent-neural-networks-1911.13252</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimized-and-energy-efficient-parallel-implementation-of-non-iteratively-trained-recurrent-neural-networks-1911.13252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimized-and-energy-efficient-parallel-implementation-of-non-iteratively-trained-recurrent-neural-networks-1911.13252"/></url>
<url><loc>https://scifaro.com/en/abs/non-intrusive-electrical-appliances-monitoring-and-classification-using-k-nearest-neighbors-1911.13257</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-intrusive-electrical-appliances-monitoring-and-classification-using-k-nearest-neighbors-1911.13257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-intrusive-electrical-appliances-monitoring-and-classification-using-k-nearest-neighbors-1911.13257"/></url>
<url><loc>https://scifaro.com/en/abs/multi-pca-based-fault-detection-model-combined-with-prior-knowledge-of-hvac-1911.13263</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-pca-based-fault-detection-model-combined-with-prior-knowledge-of-hvac-1911.13263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-pca-based-fault-detection-model-combined-with-prior-knowledge-of-hvac-1911.13263"/></url>
<url><loc>https://scifaro.com/en/abs/transflow-learning-repurposing-flow-models-without-retraining-1911.13270</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transflow-learning-repurposing-flow-models-without-retraining-1911.13270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transflow-learning-repurposing-flow-models-without-retraining-1911.13270"/></url>
<url><loc>https://scifaro.com/en/abs/financial-time-series-forecasting-with-deep-learning-a-systematic-literature-review-2005-2019-1911.13288</loc><lastmod>2019-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/financial-time-series-forecasting-with-deep-learning-a-systematic-literature-review-2005-2019-1911.13288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/financial-time-series-forecasting-with-deep-learning-a-systematic-literature-review-2005-2019-1911.13288"/></url>
<url><loc>https://scifaro.com/en/abs/model-embedded-drl-for-intelligent-greenhouse-control-1912.00020</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-embedded-drl-for-intelligent-greenhouse-control-1912.00020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-embedded-drl-for-intelligent-greenhouse-control-1912.00020"/></url>
<url><loc>https://scifaro.com/en/abs/learning-likelihoods-with-conditional-normalizing-flows-1912.00042</loc><lastmod>2023-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-likelihoods-with-conditional-normalizing-flows-1912.00042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-likelihoods-with-conditional-normalizing-flows-1912.00042"/></url>
<url><loc>https://scifaro.com/en/abs/barcodes-as-summary-of-loss-function-topology-1912.00043</loc><lastmod>2025-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/barcodes-as-summary-of-loss-function-topology-1912.00043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/barcodes-as-summary-of-loss-function-topology-1912.00043"/></url>
<url><loc>https://scifaro.com/en/abs/square-attack-a-query-efficient-black-box-adversarial-attack-via-random-search-1912.00049</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/square-attack-a-query-efficient-black-box-adversarial-attack-via-random-search-1912.00049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/square-attack-a-query-efficient-black-box-adversarial-attack-via-random-search-1912.00049"/></url>
<url><loc>https://scifaro.com/en/abs/a-reparameterization-invariant-flatness-measure-for-deep-neural-networks-1912.00058</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reparameterization-invariant-flatness-measure-for-deep-neural-networks-1912.00058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reparameterization-invariant-flatness-measure-for-deep-neural-networks-1912.00058"/></url>
<url><loc>https://scifaro.com/en/abs/safety-guarantees-for-planning-based-on-iterative-gaussian-processes-1912.00071</loc><lastmod>2020-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safety-guarantees-for-planning-based-on-iterative-gaussian-processes-1912.00071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safety-guarantees-for-planning-based-on-iterative-gaussian-processes-1912.00071"/></url>
<url><loc>https://scifaro.com/en/abs/quadratic-q-network-for-learning-continuous-control-for-autonomous-vehicles-1912.00074</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quadratic-q-network-for-learning-continuous-control-for-autonomous-vehicles-1912.00074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quadratic-q-network-for-learning-continuous-control-for-autonomous-vehicles-1912.00074"/></url>
<url><loc>https://scifaro.com/en/abs/deepmimic-mentor-student-unlabeled-data-based-training-1912.00079</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepmimic-mentor-student-unlabeled-data-based-training-1912.00079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepmimic-mentor-student-unlabeled-data-based-training-1912.00079"/></url>
<url><loc>https://scifaro.com/en/abs/a-binary-activation-multi-level-weight-rnn-and-training-algorithm-for-adc-dac-free-and-noise-resilient-processing-in-memory-inference-with-envm-1912.00106</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-binary-activation-multi-level-weight-rnn-and-training-algorithm-for-adc-dac-free-and-noise-resilient-processing-in-memory-inference-with-envm-1912.00106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-binary-activation-multi-level-weight-rnn-and-training-algorithm-for-adc-dac-free-and-noise-resilient-processing-in-memory-inference-with-envm-1912.00106"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-pruning-of-recurrent-neural-networks-by-jacobian-spectrum-evaluation-1912.00120</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-pruning-of-recurrent-neural-networks-by-jacobian-spectrum-evaluation-1912.00120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-pruning-of-recurrent-neural-networks-by-jacobian-spectrum-evaluation-1912.00120"/></url>
<url><loc>https://scifaro.com/en/abs/stconvs2s-spatiotemporal-convolutional-sequence-to-sequence-network-for-weather-forecasting-1912.00134</loc><lastmod>2020-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stconvs2s-spatiotemporal-convolutional-sequence-to-sequence-network-for-weather-forecasting-1912.00134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stconvs2s-spatiotemporal-convolutional-sequence-to-sequence-network-for-weather-forecasting-1912.00134"/></url>
<url><loc>https://scifaro.com/en/abs/disentanglement-challenge-from-regularization-to-reconstruction-1912.00155</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentanglement-challenge-from-regularization-to-reconstruction-1912.00155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentanglement-challenge-from-regularization-to-reconstruction-1912.00155"/></url>
<url><loc>https://scifaro.com/en/abs/dis-entangling-mixture-of-interventions-on-a-causal-bayesian-network-using-aggregate-observations-1912.00163</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dis-entangling-mixture-of-interventions-on-a-causal-bayesian-network-using-aggregate-observations-1912.00163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dis-entangling-mixture-of-interventions-on-a-causal-bayesian-network-using-aggregate-observations-1912.00163"/></url>
<url><loc>https://scifaro.com/en/abs/impact-importance-weighted-asynchronous-architectures-with-clipped-target-networks-1912.00167</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impact-importance-weighted-asynchronous-architectures-with-clipped-target-networks-1912.00167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impact-importance-weighted-asynchronous-architectures-with-clipped-target-networks-1912.00167"/></url>
<url><loc>https://scifaro.com/en/abs/error-correcting-output-codes-with-ensemble-diversity-for-robust-learning-in-neural-networks-1912.00181</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-correcting-output-codes-with-ensemble-diversity-for-robust-learning-in-neural-networks-1912.00181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-correcting-output-codes-with-ensemble-diversity-for-robust-learning-in-neural-networks-1912.00181"/></url>
<url><loc>https://scifaro.com/en/abs/re-learning-to-learn-by-self-critique-1912.00183</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/re-learning-to-learn-by-self-critique-1912.00183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/re-learning-to-learn-by-self-critique-1912.00183"/></url>
<url><loc>https://scifaro.com/en/abs/sgas-sequential-greedy-architecture-search-1912.00195</loc><lastmod>2020-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgas-sequential-greedy-architecture-search-1912.00195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgas-sequential-greedy-architecture-search-1912.00195"/></url>
<url><loc>https://scifaro.com/en/abs/probing-the-state-of-the-art-a-critical-look-at-visual-representation-evaluation-1912.00215</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probing-the-state-of-the-art-a-critical-look-at-visual-representation-evaluation-1912.00215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probing-the-state-of-the-art-a-critical-look-at-visual-representation-evaluation-1912.00215"/></url>
<url><loc>https://scifaro.com/en/abs/training-distributed-deep-recurrent-neural-networks-with-mixed-precision-on-gpu-clusters-1912.00286</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-distributed-deep-recurrent-neural-networks-with-mixed-precision-on-gpu-clusters-1912.00286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-distributed-deep-recurrent-neural-networks-with-mixed-precision-on-gpu-clusters-1912.00286"/></url>
<url><loc>https://scifaro.com/en/abs/xgbod-improving-supervised-outlier-detection-with-unsupervised-representation-learning-1912.00290</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xgbod-improving-supervised-outlier-detection-with-unsupervised-representation-learning-1912.00290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xgbod-improving-supervised-outlier-detection-with-unsupervised-representation-learning-1912.00290"/></url>
<url><loc>https://scifaro.com/en/abs/ace-an-anomaly-contribution-explainer-for-cyber-security-applications-1912.00314</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ace-an-anomaly-contribution-explainer-for-cyber-security-applications-1912.00314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ace-an-anomaly-contribution-explainer-for-cyber-security-applications-1912.00314"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-joint-probability-maximum-mean-discrepancy-djp-mmd-for-domain-adaptation-1912.00320</loc><lastmod>2020-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-joint-probability-maximum-mean-discrepancy-djp-mmd-for-domain-adaptation-1912.00320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-joint-probability-maximum-mean-discrepancy-djp-mmd-for-domain-adaptation-1912.00320"/></url>
<url><loc>https://scifaro.com/en/abs/adversary-a3c-for-robust-reinforcement-learning-1912.00330</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversary-a3c-for-robust-reinforcement-learning-1912.00330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversary-a3c-for-robust-reinforcement-learning-1912.00330"/></url>
<url><loc>https://scifaro.com/en/abs/not-all-attention-is-needed-gated-attention-network-for-sequence-data-1912.00349</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/not-all-attention-is-needed-gated-attention-network-for-sequence-data-1912.00349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/not-all-attention-is-needed-gated-attention-network-for-sequence-data-1912.00349"/></url>
<url><loc>https://scifaro.com/en/abs/online-knowledge-distillation-with-diverse-peers-1912.00350</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-knowledge-distillation-with-diverse-peers-1912.00350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-knowledge-distillation-with-diverse-peers-1912.00350"/></url>
<url><loc>https://scifaro.com/en/abs/preserving-patient-privacy-while-training-a-predictive-model-of-in-hospital-mortality-1912.00354</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preserving-patient-privacy-while-training-a-predictive-model-of-in-hospital-mortality-1912.00354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preserving-patient-privacy-while-training-a-predictive-model-of-in-hospital-mortality-1912.00354"/></url>
<url><loc>https://scifaro.com/en/abs/fast-stochastic-ordinal-embedding-with-variance-reduction-and-adaptive-step-size-1912.00362</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-stochastic-ordinal-embedding-with-variance-reduction-and-adaptive-step-size-1912.00362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-stochastic-ordinal-embedding-with-variance-reduction-and-adaptive-step-size-1912.00362"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-applications-in-time-series-hierarchical-forecasting-1912.00370</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-applications-in-time-series-hierarchical-forecasting-1912.00370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-applications-in-time-series-hierarchical-forecasting-1912.00370"/></url>
<url><loc>https://scifaro.com/en/abs/active-search-for-nearest-neighbors-1912.00386</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-search-for-nearest-neighbors-1912.00386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-search-for-nearest-neighbors-1912.00386"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-approach-for-analog-circuit-synthesis-using-neural-network-1912.00402</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-approach-for-analog-circuit-synthesis-using-neural-network-1912.00402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-approach-for-analog-circuit-synthesis-using-neural-network-1912.00402"/></url>
<url><loc>https://scifaro.com/en/abs/automated-curriculum-generation-for-policy-gradients-from-demonstrations-1912.00444</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-curriculum-generation-for-policy-gradients-from-demonstrations-1912.00444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-curriculum-generation-for-policy-gradients-from-demonstrations-1912.00444"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-travel-time-estimation-using-matrix-factorization-1912.00455</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-travel-time-estimation-using-matrix-factorization-1912.00455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-travel-time-estimation-using-matrix-factorization-1912.00455"/></url>
<url><loc>https://scifaro.com/en/abs/a-method-for-computing-class-wise-universal-adversarial-perturbations-1912.00466</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-method-for-computing-class-wise-universal-adversarial-perturbations-1912.00466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-method-for-computing-class-wise-universal-adversarial-perturbations-1912.00466"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-for-reinforcement-learning-from-single-agent-to-cooperative-agents-1912.00498</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-for-reinforcement-learning-from-single-agent-to-cooperative-agents-1912.00498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-for-reinforcement-learning-from-single-agent-to-cooperative-agents-1912.00498"/></url>
<url><loc>https://scifaro.com/en/abs/cascading-hybrid-bandits-online-learning-to-rank-for-relevance-and-diversity-1912.00508</loc><lastmod>2020-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cascading-hybrid-bandits-online-learning-to-rank-for-relevance-and-diversity-1912.00508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cascading-hybrid-bandits-online-learning-to-rank-for-relevance-and-diversity-1912.00508"/></url>
<url><loc>https://scifaro.com/en/abs/a-quasi-newton-method-based-vertical-federated-learning-framework-for-logistic-regression-1912.00513</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-quasi-newton-method-based-vertical-federated-learning-framework-for-logistic-regression-1912.00513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-quasi-newton-method-based-vertical-federated-learning-framework-for-logistic-regression-1912.00513"/></url>
<url><loc>https://scifaro.com/en/abs/location-forensics-of-media-recordings-utilizing-cascaded-svm-and-pole-matching-classifiers-1912.00519</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/location-forensics-of-media-recordings-utilizing-cascaded-svm-and-pole-matching-classifiers-1912.00519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/location-forensics-of-media-recordings-utilizing-cascaded-svm-and-pole-matching-classifiers-1912.00519"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-divergence-for-rapid-adversarial-optimization-1912.00520</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-divergence-for-rapid-adversarial-optimization-1912.00520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-divergence-for-rapid-adversarial-optimization-1912.00520"/></url>
<url><loc>https://scifaro.com/en/abs/the-intriguing-role-of-module-criticality-in-the-generalization-of-deep-networks-1912.00528</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-intriguing-role-of-module-criticality-in-the-generalization-of-deep-networks-1912.00528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-intriguing-role-of-module-criticality-in-the-generalization-of-deep-networks-1912.00528"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-embedding-of-large-scale-attributed-graphs-1912.00536</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-embedding-of-large-scale-attributed-graphs-1912.00536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-embedding-of-large-scale-attributed-graphs-1912.00536"/></url>
<url><loc>https://scifaro.com/en/abs/risk-bounds-for-low-cost-bipartite-ranking-1912.00537</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-bounds-for-low-cost-bipartite-ranking-1912.00537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-bounds-for-low-cost-bipartite-ranking-1912.00537"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-graph-attention-networks-1912.00552</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-graph-attention-networks-1912.00552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-graph-attention-networks-1912.00552"/></url>
<url><loc>https://scifaro.com/en/abs/fastened-crown-tightened-neural-network-robustness-certificates-1912.00574</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fastened-crown-tightened-neural-network-robustness-certificates-1912.00574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fastened-crown-tightened-neural-network-robustness-certificates-1912.00574"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-in-particulate-matter-sensor-using-hypothesis-pruning-generative-adversarial-network-1912.00583</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-in-particulate-matter-sensor-using-hypothesis-pruning-generative-adversarial-network-1912.00583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-in-particulate-matter-sensor-using-hypothesis-pruning-generative-adversarial-network-1912.00583"/></url>
<url><loc>https://scifaro.com/en/abs/combining-mixmatch-and-active-learning-for-better-accuracy-with-fewer-labels-1912.00594</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-mixmatch-and-active-learning-for-better-accuracy-with-fewer-labels-1912.00594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-mixmatch-and-active-learning-for-better-accuracy-with-fewer-labels-1912.00594"/></url>
<url><loc>https://scifaro.com/en/abs/experiencethinking-constrained-hyperparameter-optimization-based-on-knowledge-and-pruning-1912.00602</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/experiencethinking-constrained-hyperparameter-optimization-based-on-knowledge-and-pruning-1912.00602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/experiencethinking-constrained-hyperparameter-optimization-based-on-knowledge-and-pruning-1912.00602"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-the-number-of-clusters-for-k-means-a-hypersphere-density-based-approach-1912.00643</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-the-number-of-clusters-for-k-means-a-hypersphere-density-based-approach-1912.00643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-the-number-of-clusters-for-k-means-a-hypersphere-density-based-approach-1912.00643"/></url>
<url><loc>https://scifaro.com/en/abs/discovery-and-separation-of-features-for-invariant-representation-learning-1912.00646</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovery-and-separation-of-features-for-invariant-representation-learning-1912.00646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovery-and-separation-of-features-for-invariant-representation-learning-1912.00646"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-variational-inference-via-upper-bound-1912.00650</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-variational-inference-via-upper-bound-1912.00650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-variational-inference-via-upper-bound-1912.00650"/></url>
<url><loc>https://scifaro.com/en/abs/an-attribute-oriented-induction-based-methodology-for-data-driven-predictive-maintenance-1912.00662</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-attribute-oriented-induction-based-methodology-for-data-driven-predictive-maintenance-1912.00662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-attribute-oriented-induction-based-methodology-for-data-driven-predictive-maintenance-1912.00662"/></url>
<url><loc>https://scifaro.com/en/abs/gross-group-size-series-decomposition-for-grouped-architecture-search-1912.00673</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gross-group-size-series-decomposition-for-grouped-architecture-search-1912.00673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gross-group-size-series-decomposition-for-grouped-architecture-search-1912.00673"/></url>
<url><loc>https://scifaro.com/en/abs/geotracknet-a-maritime-anomaly-detector-using-probabilistic-neural-network-representation-of-ais-tracks-and-a-contrario-detection-1912.00682</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geotracknet-a-maritime-anomaly-detector-using-probabilistic-neural-network-representation-of-ais-tracks-and-a-contrario-detection-1912.00682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geotracknet-a-maritime-anomaly-detector-using-probabilistic-neural-network-representation-of-ais-tracks-and-a-contrario-detection-1912.00682"/></url>
<url><loc>https://scifaro.com/en/abs/red-cane-a-systematic-methodology-for-resilience-analysis-and-design-of-capsule-networks-under-approximations-1912.00700</loc><lastmod>2020-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/red-cane-a-systematic-methodology-for-resilience-analysis-and-design-of-capsule-networks-under-approximations-1912.00700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/red-cane-a-systematic-methodology-for-resilience-analysis-and-design-of-capsule-networks-under-approximations-1912.00700"/></url>
<url><loc>https://scifaro.com/en/abs/scikit-hubness-hubness-reduction-and-approximate-neighbor-search-1912.00706</loc><lastmod>2021-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scikit-hubness-hubness-reduction-and-approximate-neighbor-search-1912.00706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scikit-hubness-hubness-reduction-and-approximate-neighbor-search-1912.00706"/></url>
<url><loc>https://scifaro.com/en/abs/using-laplacian-spectrum-as-graph-feature-representation-1912.00735</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-laplacian-spectrum-as-graph-feature-representation-1912.00735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-laplacian-spectrum-as-graph-feature-representation-1912.00735"/></url>
<url><loc>https://scifaro.com/en/abs/improving-non-intrusive-load-disaggregation-through-an-attention-based-deep-neural-network-1912.00759</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-non-intrusive-load-disaggregation-through-an-attention-based-deep-neural-network-1912.00759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-non-intrusive-load-disaggregation-through-an-attention-based-deep-neural-network-1912.00759"/></url>
<url><loc>https://scifaro.com/en/abs/e-stitchup-data-augmentation-for-pre-trained-embeddings-1912.00772</loc><lastmod>2020-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/e-stitchup-data-augmentation-for-pre-trained-embeddings-1912.00772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/e-stitchup-data-augmentation-for-pre-trained-embeddings-1912.00772"/></url>
<url><loc>https://scifaro.com/en/abs/time-guided-high-order-attention-model-of-longitudinal-heterogeneous-healthcare-data-1912.00773</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-guided-high-order-attention-model-of-longitudinal-heterogeneous-healthcare-data-1912.00773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-guided-high-order-attention-model-of-longitudinal-heterogeneous-healthcare-data-1912.00773"/></url>
<url><loc>https://scifaro.com/en/abs/is-discriminator-a-good-feature-extractor-1912.00789</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-discriminator-a-good-feature-extractor-1912.00789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-discriminator-a-good-feature-extractor-1912.00789"/></url>
<url><loc>https://scifaro.com/en/abs/differential-bayesian-neural-nets-1912.00796</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-bayesian-neural-nets-1912.00796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-bayesian-neural-nets-1912.00796"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-offline-and-online-testing-of-deep-neural-networks-an-autonomous-car-case-study-1912.00805</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-offline-and-online-testing-of-deep-neural-networks-an-autonomous-car-case-study-1912.00805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-offline-and-online-testing-of-deep-neural-networks-an-autonomous-car-case-study-1912.00805"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-personalization-layers-1912.00818</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-personalization-layers-1912.00818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-personalization-layers-1912.00818"/></url>
<url><loc>https://scifaro.com/en/abs/epistemic-uncertainty-quantification-in-deep-learning-classification-by-the-delta-method-1912.00832</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/epistemic-uncertainty-quantification-in-deep-learning-classification-by-the-delta-method-1912.00832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/epistemic-uncertainty-quantification-in-deep-learning-classification-by-the-delta-method-1912.00832"/></url>
<url><loc>https://scifaro.com/en/abs/deepfpc-deep-unfolding-of-a-fixed-point-continuation-algorithm-for-sparse-signal-recovery-from-quantized-measurements-1912.00838</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepfpc-deep-unfolding-of-a-fixed-point-continuation-algorithm-for-sparse-signal-recovery-from-quantized-measurements-1912.00838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepfpc-deep-unfolding-of-a-fixed-point-continuation-algorithm-for-sparse-signal-recovery-from-quantized-measurements-1912.00838"/></url>
<url><loc>https://scifaro.com/en/abs/attentive-modality-hopping-mechanism-for-speech-emotion-recognition-1912.00846</loc><lastmod>2020-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attentive-modality-hopping-mechanism-for-speech-emotion-recognition-1912.00846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attentive-modality-hopping-mechanism-for-speech-emotion-recognition-1912.00846"/></url>
<url><loc>https://scifaro.com/en/abs/neural-predictor-for-neural-architecture-search-1912.00848</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-predictor-for-neural-architecture-search-1912.00848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-predictor-for-neural-architecture-search-1912.00848"/></url>
<url><loc>https://scifaro.com/en/abs/cnns-lstms-and-attention-networks-for-pathology-detection-in-medical-data-1912.00852</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cnns-lstms-and-attention-networks-for-pathology-detection-in-medical-data-1912.00852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cnns-lstms-and-attention-networks-for-pathology-detection-in-medical-data-1912.00852"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-relaxed-gradient-support-pursuit-for-sparsity-constrained-non-convex-optimization-1912.00858</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-relaxed-gradient-support-pursuit-for-sparsity-constrained-non-convex-optimization-1912.00858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-relaxed-gradient-support-pursuit-for-sparsity-constrained-non-convex-optimization-1912.00858"/></url>
<url><loc>https://scifaro.com/en/abs/emap-explanation-by-minimal-adversarial-perturbation-1912.00872</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emap-explanation-by-minimal-adversarial-perturbation-1912.00872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emap-explanation-by-minimal-adversarial-perturbation-1912.00872"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-network-fingerprinting-by-conferrable-adversarial-examples-1912.00888</loc><lastmod>2021-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-fingerprinting-by-conferrable-adversarial-examples-1912.00888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-fingerprinting-by-conferrable-adversarial-examples-1912.00888"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-smell-for-wellness-1912.00895</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-smell-for-wellness-1912.00895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-smell-for-wellness-1912.00895"/></url>
<url><loc>https://scifaro.com/en/abs/ft-clipact-resilience-analysis-of-deep-neural-networks-and-improving-their-fault-tolerance-using-clipped-activation-1912.00941</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ft-clipact-resilience-analysis-of-deep-neural-networks-and-improving-their-fault-tolerance-using-clipped-activation-1912.00941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ft-clipact-resilience-analysis-of-deep-neural-networks-and-improving-their-fault-tolerance-using-clipped-activation-1912.00941"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-deep-reinforcement-learning-with-adaptive-policies-1912.00949</loc><lastmod>2019-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-deep-reinforcement-learning-with-adaptive-policies-1912.00949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-deep-reinforcement-learning-with-adaptive-policies-1912.00949"/></url>
<url><loc>https://scifaro.com/en/abs/logan-latent-optimisation-for-generative-adversarial-networks-1912.00953</loc><lastmod>2020-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logan-latent-optimisation-for-generative-adversarial-networks-1912.00953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logan-latent-optimisation-for-generative-adversarial-networks-1912.00953"/></url>
<url><loc>https://scifaro.com/en/abs/ap-perf-incorporating-generic-performance-metrics-in-differentiable-learning-1912.00965</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ap-perf-incorporating-generic-performance-metrics-in-differentiable-learning-1912.00965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ap-perf-incorporating-generic-performance-metrics-in-differentiable-learning-1912.00965"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-graph-neural-networks-1912.00967</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-graph-neural-networks-1912.00967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-graph-neural-networks-1912.00967"/></url>
<url><loc>https://scifaro.com/en/abs/kernelnet-a-data-dependent-kernel-parameterization-for-deep-generative-modeling-1912.00979</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernelnet-a-data-dependent-kernel-parameterization-for-deep-generative-modeling-1912.00979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernelnet-a-data-dependent-kernel-parameterization-for-deep-generative-modeling-1912.00979"/></url>
<url><loc>https://scifaro.com/en/abs/tx-ray-quantifying-and-explaining-model-knowledge-transfer-in-un-supervised-nlp-1912.00982</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tx-ray-quantifying-and-explaining-model-knowledge-transfer-in-un-supervised-nlp-1912.00982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tx-ray-quantifying-and-explaining-model-knowledge-transfer-in-un-supervised-nlp-1912.00982"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-normalization-for-multi-domain-image-segmentation-1912.00993</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-normalization-for-multi-domain-image-segmentation-1912.00993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-normalization-for-multi-domain-image-segmentation-1912.00993"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-from-biased-data-can-fairness-constraints-improve-accuracy-1912.01094</loc><lastmod>2024-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-from-biased-data-can-fairness-constraints-improve-accuracy-1912.01094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-from-biased-data-can-fairness-constraints-improve-accuracy-1912.01094"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-of-bearing-anomaly-detection-via-deep-variational-autoencoders-1912.01096</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-of-bearing-anomaly-detection-via-deep-variational-autoencoders-1912.01096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-of-bearing-anomaly-detection-via-deep-variational-autoencoders-1912.01096"/></url>
<url><loc>https://scifaro.com/en/abs/using-dimensionality-reduction-to-optimize-t-sne-1912.01098</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-dimensionality-reduction-to-optimize-t-sne-1912.01098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-dimensionality-reduction-to-optimize-t-sne-1912.01098"/></url>
<url><loc>https://scifaro.com/en/abs/latent-replay-for-real-time-continual-learning-1912.01100</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-replay-for-real-time-continual-learning-1912.01100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-replay-for-real-time-continual-learning-1912.01100"/></url>
<url><loc>https://scifaro.com/en/abs/automated-dependence-plots-1912.01108</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-dependence-plots-1912.01108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-dependence-plots-1912.01108"/></url>
<url><loc>https://scifaro.com/en/abs/automated-speech-based-screening-of-depression-using-deep-convolutional-neural-networks-1912.01115</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-speech-based-screening-of-depression-using-deep-convolutional-neural-networks-1912.01115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-speech-based-screening-of-depression-using-deep-convolutional-neural-networks-1912.01115"/></url>
<url><loc>https://scifaro.com/en/abs/long-distance-relationships-without-time-travel-boosting-the-performance-of-a-sparse-predictive-autoencoder-in-sequence-modeling-1912.01116</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-distance-relationships-without-time-travel-boosting-the-performance-of-a-sparse-predictive-autoencoder-in-sequence-modeling-1912.01116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-distance-relationships-without-time-travel-boosting-the-performance-of-a-sparse-predictive-autoencoder-in-sequence-modeling-1912.01116"/></url>
<url><loc>https://scifaro.com/en/abs/mixing-autoencoder-with-classifier-conceptual-data-visualization-1912.01137</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixing-autoencoder-with-classifier-conceptual-data-visualization-1912.01137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixing-autoencoder-with-classifier-conceptual-data-visualization-1912.01137"/></url>
<url><loc>https://scifaro.com/en/abs/event-ticket-price-prediction-with-deep-neural-network-on-spatial-temporal-sparse-data-1912.01139</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/event-ticket-price-prediction-with-deep-neural-network-on-spatial-temporal-sparse-data-1912.01139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/event-ticket-price-prediction-with-deep-neural-network-on-spatial-temporal-sparse-data-1912.01139"/></url>
<url><loc>https://scifaro.com/en/abs/drug-target-indication-prediction-by-integrating-end-to-end-learning-and-fingerprints-1912.01163</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drug-target-indication-prediction-by-integrating-end-to-end-learning-and-fingerprints-1912.01163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drug-target-indication-prediction-by-integrating-end-to-end-learning-and-fingerprints-1912.01163"/></url>
<url><loc>https://scifaro.com/en/abs/universal-adversarial-perturbations-for-cnn-classifiers-in-eeg-based-bcis-1912.01171</loc><lastmod>2022-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-adversarial-perturbations-for-cnn-classifiers-in-eeg-based-bcis-1912.01171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-adversarial-perturbations-for-cnn-classifiers-in-eeg-based-bcis-1912.01171"/></url>
<url><loc>https://scifaro.com/en/abs/value-laden-disciplinary-shifts-in-machine-learning-1912.01172</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/value-laden-disciplinary-shifts-in-machine-learning-1912.01172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/value-laden-disciplinary-shifts-in-machine-learning-1912.01172"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-online-planning-for-continual-lifelong-learning-1912.01188</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-online-planning-for-continual-lifelong-learning-1912.01188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-online-planning-for-continual-lifelong-learning-1912.01188"/></url>
<url><loc>https://scifaro.com/en/abs/learning-adversarial-mdps-with-bandit-feedback-and-unknown-transition-1912.01192</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-adversarial-mdps-with-bandit-feedback-and-unknown-transition-1912.01192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-adversarial-mdps-with-bandit-feedback-and-unknown-transition-1912.01192"/></url>
<url><loc>https://scifaro.com/en/abs/structure-learning-with-similarity-preserving-1912.01197</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-learning-with-similarity-preserving-1912.01197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-learning-with-similarity-preserving-1912.01197"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-the-spectral-bias-of-deep-learning-1912.01198</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-the-spectral-bias-of-deep-learning-1912.01198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-the-spectral-bias-of-deep-learning-1912.01198"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-subspace-clustering-via-partition-fusion-1912.01201</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-subspace-clustering-via-partition-fusion-1912.01201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-subspace-clustering-via-partition-fusion-1912.01201"/></url>
<url><loc>https://scifaro.com/en/abs/music-style-classification-with-compared-methods-in-xgb-and-bpnn-1912.01203</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/music-style-classification-with-compared-methods-in-xgb-and-bpnn-1912.01203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/music-style-classification-with-compared-methods-in-xgb-and-bpnn-1912.01203"/></url>
<url><loc>https://scifaro.com/en/abs/deep-probabilistic-models-to-detect-data-poisoning-attacks-1912.01206</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-probabilistic-models-to-detect-data-poisoning-attacks-1912.01206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-probabilistic-models-to-detect-data-poisoning-attacks-1912.01206"/></url>
<url><loc>https://scifaro.com/en/abs/rank-aggregation-via-heterogeneous-thurstone-preference-models-1912.01211</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-aggregation-via-heterogeneous-thurstone-preference-models-1912.01211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-aggregation-via-heterogeneous-thurstone-preference-models-1912.01211"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-by-generative-regularization-1912.01238</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-by-generative-regularization-1912.01238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-by-generative-regularization-1912.01238"/></url>
<url><loc>https://scifaro.com/en/abs/a-hidden-variables-approach-to-multilabel-logistic-regression-1912.01241</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hidden-variables-approach-to-multilabel-logistic-regression-1912.01241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hidden-variables-approach-to-multilabel-logistic-regression-1912.01241"/></url>
<url><loc>https://scifaro.com/en/abs/how-do-urban-incidents-affect-traffic-speed-a-deep-graph-convolutional-network-for-incident-driven-traffic-speed-prediction-1912.01242</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-do-urban-incidents-affect-traffic-speed-a-deep-graph-convolutional-network-for-incident-driven-traffic-speed-prediction-1912.01242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-do-urban-incidents-affect-traffic-speed-a-deep-graph-convolutional-network-for-incident-driven-traffic-speed-prediction-1912.01242"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-online-learning-and-new-insights-to-online-imitation-learning-1912.01261</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-online-learning-and-new-insights-to-online-imitation-learning-1912.01261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-online-learning-and-new-insights-to-online-imitation-learning-1912.01261"/></url>
<url><loc>https://scifaro.com/en/abs/the-knowledge-within-methods-for-data-free-model-compression-1912.01274</loc><lastmod>2020-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-knowledge-within-methods-for-data-free-model-compression-1912.01274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-knowledge-within-methods-for-data-free-model-compression-1912.01274"/></url>
<url><loc>https://scifaro.com/en/abs/make-thunderbolts-less-frightening-predicting-extreme-weather-using-deep-learning-1912.01277</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/make-thunderbolts-less-frightening-predicting-extreme-weather-using-deep-learning-1912.01277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/make-thunderbolts-less-frightening-predicting-extreme-weather-using-deep-learning-1912.01277"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-soil-ph-by-using-nearest-fields-1912.01303</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-soil-ph-by-using-nearest-fields-1912.01303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-soil-ph-by-using-nearest-fields-1912.01303"/></url>
<url><loc>https://scifaro.com/en/abs/less-is-better-unweighted-data-subsampling-via-influence-function-1912.01321</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/less-is-better-unweighted-data-subsampling-via-influence-function-1912.01321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/less-is-better-unweighted-data-subsampling-via-influence-function-1912.01321"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-branching-for-neural-network-verification-1912.01329</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-branching-for-neural-network-verification-1912.01329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-branching-for-neural-network-verification-1912.01329"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-laplacian-regularization-for-sparse-spectral-community-detection-1912.01419</loc><lastmod>2020-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-laplacian-regularization-for-sparse-spectral-community-detection-1912.01419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-laplacian-regularization-for-sparse-spectral-community-detection-1912.01419"/></url>
<url><loc>https://scifaro.com/en/abs/the-comparison-of-methods-for-individual-treatment-effect-detection-1912.01443</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-comparison-of-methods-for-individual-treatment-effect-detection-1912.01443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-comparison-of-methods-for-individual-treatment-effect-detection-1912.01443"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-model-based-policy-optimization-from-actions-to-action-sequences-and-back-1912.01448</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-model-based-policy-optimization-from-actions-to-action-sequences-and-back-1912.01448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-model-based-policy-optimization-from-actions-to-action-sequences-and-back-1912.01448"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-scalable-estimator-for-sparse-and-unit-rank-higher-order-regression-models-1912.01450</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-scalable-estimator-for-sparse-and-unit-rank-higher-order-regression-models-1912.01450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-scalable-estimator-for-sparse-and-unit-rank-higher-order-regression-models-1912.01450"/></url>
<url><loc>https://scifaro.com/en/abs/sanity-checks-for-saliency-metrics-1912.01451</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sanity-checks-for-saliency-metrics-1912.01451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sanity-checks-for-saliency-metrics-1912.01451"/></url>
<url><loc>https://scifaro.com/en/abs/multiscale-self-attentive-convolutions-for-vision-and-language-modeling-1912.01521</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiscale-self-attentive-convolutions-for-vision-and-language-modeling-1912.01521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiscale-self-attentive-convolutions-for-vision-and-language-modeling-1912.01521"/></url>
<url><loc>https://scifaro.com/en/abs/learning-spatially-structured-image-transformations-using-planar-neural-networks-1912.01553</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-spatially-structured-image-transformations-using-planar-neural-networks-1912.01553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-spatially-structured-image-transformations-using-planar-neural-networks-1912.01553"/></url>
<url><loc>https://scifaro.com/en/abs/policy-optimization-reinforcement-learning-with-entropy-regularization-1912.01557</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-optimization-reinforcement-learning-with-entropy-regularization-1912.01557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-optimization-reinforcement-learning-with-entropy-regularization-1912.01557"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-study-of-pretrained-language-models-on-thai-social-text-categorization-1912.01580</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-study-of-pretrained-language-models-on-thai-social-text-categorization-1912.01580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-study-of-pretrained-language-models-on-thai-social-text-categorization-1912.01580"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-procedural-generation-to-benchmark-reinforcement-learning-1912.01588</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-procedural-generation-to-benchmark-reinforcement-learning-1912.01588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-procedural-generation-to-benchmark-reinforcement-learning-1912.01588"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-newton-and-cubic-newton-methods-with-simple-local-linear-quadratic-rates-1912.01597</loc><lastmod>2019-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-newton-and-cubic-newton-methods-with-simple-local-linear-quadratic-rates-1912.01597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-newton-and-cubic-newton-methods-with-simple-local-linear-quadratic-rates-1912.01597"/></url>
<url><loc>https://scifaro.com/en/abs/dream-to-control-learning-behaviors-by-latent-imagination-1912.01603</loc><lastmod>2020-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dream-to-control-learning-behaviors-by-latent-imagination-1912.01603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dream-to-control-learning-behaviors-by-latent-imagination-1912.01603"/></url>
<url><loc>https://scifaro.com/en/abs/mo-states-mo-problems-emergency-stop-mechanisms-from-observation-1912.01649</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mo-states-mo-problems-emergency-stop-mechanisms-from-observation-1912.01649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mo-states-mo-problems-emergency-stop-mechanisms-from-observation-1912.01649"/></url>
<url><loc>https://scifaro.com/en/abs/insights-into-ordinal-embedding-algorithms-a-systematic-evaluation-1912.01666</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/insights-into-ordinal-embedding-algorithms-a-systematic-evaluation-1912.01666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/insights-into-ordinal-embedding-algorithms-a-systematic-evaluation-1912.01666"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-black-box-adversarial-attacks-on-computer-vision-models-1912.01667</loc><lastmod>2020-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-black-box-adversarial-attacks-on-computer-vision-models-1912.01667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-black-box-adversarial-attacks-on-computer-vision-models-1912.01667"/></url>
<url><loc>https://scifaro.com/en/abs/pytorch-an-imperative-style-high-performance-deep-learning-library-1912.01703</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pytorch-an-imperative-style-high-performance-deep-learning-library-1912.01703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pytorch-an-imperative-style-high-performance-deep-learning-library-1912.01703"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-self-learning-method-for-fully-unsupervised-cross-lingual-mappings-of-word-embeddings-making-the-method-robustly-reproducible-as-well-1912.01706</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-self-learning-method-for-fully-unsupervised-cross-lingual-mappings-of-word-embeddings-making-the-method-robustly-reproducible-as-well-1912.01706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-self-learning-method-for-fully-unsupervised-cross-lingual-mappings-of-word-embeddings-making-the-method-robustly-reproducible-as-well-1912.01706"/></url>
<url><loc>https://scifaro.com/en/abs/distance-based-learning-from-errors-for-confidence-calibration-1912.01730</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-based-learning-from-errors-for-confidence-calibration-1912.01730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-based-learning-from-errors-for-confidence-calibration-1912.01730"/></url>
<url><loc>https://scifaro.com/en/abs/deep-physiological-state-space-model-for-clinical-forecasting-1912.01762</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-physiological-state-space-model-for-clinical-forecasting-1912.01762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-physiological-state-space-model-for-clinical-forecasting-1912.01762"/></url>
<url><loc>https://scifaro.com/en/abs/robust-online-model-adaptation-by-extended-kalman-filter-with-exponential-moving-average-and-dynamic-multi-epoch-strategy-1912.01790</loc><lastmod>2020-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-online-model-adaptation-by-extended-kalman-filter-with-exponential-moving-average-and-dynamic-multi-epoch-strategy-1912.01790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-online-model-adaptation-by-extended-kalman-filter-with-exponential-moving-average-and-dynamic-multi-epoch-strategy-1912.01790"/></url>
<url><loc>https://scifaro.com/en/abs/learn-electronic-health-records-by-fully-decentralized-federated-learning-1912.01792</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-electronic-health-records-by-fully-decentralized-federated-learning-1912.01792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-electronic-health-records-by-fully-decentralized-federated-learning-1912.01792"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-multiplicative-perturbations-1912.01810</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-multiplicative-perturbations-1912.01810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-multiplicative-perturbations-1912.01810"/></url>
<url><loc>https://scifaro.com/en/abs/domain-independent-dominance-of-adaptive-methods-1912.01823</loc><lastmod>2020-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-independent-dominance-of-adaptive-methods-1912.01823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-independent-dominance-of-adaptive-methods-1912.01823"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-framework-for-solving-high-dimensional-mean-field-game-and-mean-field-control-problems-1912.01825</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-framework-for-solving-high-dimensional-mean-field-game-and-mean-field-control-problems-1912.01825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-framework-for-solving-high-dimensional-mean-field-game-and-mean-field-control-problems-1912.01825"/></url>
<url><loc>https://scifaro.com/en/abs/a-variational-perturbative-approach-to-planning-in-graph-based-markov-decision-processes-1912.01849</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variational-perturbative-approach-to-planning-in-graph-based-markov-decision-processes-1912.01849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variational-perturbative-approach-to-planning-in-graph-based-markov-decision-processes-1912.01849"/></url>
<url><loc>https://scifaro.com/en/abs/adepos-a-novel-approximate-computing-framework-for-anomaly-detection-systems-and-its-implementation-in-65nm-cmos-1912.01853</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adepos-a-novel-approximate-computing-framework-for-anomaly-detection-systems-and-its-implementation-in-65nm-cmos-1912.01853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adepos-a-novel-approximate-computing-framework-for-anomaly-detection-systems-and-its-implementation-in-65nm-cmos-1912.01853"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-induced-bidirectional-generative-adversarial-network-for-graph-representation-learning-1912.01899</loc><lastmod>2020-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-induced-bidirectional-generative-adversarial-network-for-graph-representation-learning-1912.01899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-induced-bidirectional-generative-adversarial-network-for-graph-representation-learning-1912.01899"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-of-svdd-hyperparameter-values-1912.01927</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-of-svdd-hyperparameter-values-1912.01927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-of-svdd-hyperparameter-values-1912.01927"/></url>
<url><loc>https://scifaro.com/en/abs/deep-distributional-sequence-embeddings-based-on-a-wasserstein-loss-1912.01933</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-distributional-sequence-embeddings-based-on-a-wasserstein-loss-1912.01933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-distributional-sequence-embeddings-based-on-a-wasserstein-loss-1912.01933"/></url>
<url><loc>https://scifaro.com/en/abs/a-probability-theoretic-approach-to-drifting-data-in-continuous-time-domains-1912.01969</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probability-theoretic-approach-to-drifting-data-in-continuous-time-domains-1912.01969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probability-theoretic-approach-to-drifting-data-in-continuous-time-domains-1912.01969"/></url>
<url><loc>https://scifaro.com/en/abs/fannet-formal-analysis-of-noise-tolerance-training-bias-and-input-sensitivity-in-neural-networks-1912.01978</loc><lastmod>2020-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fannet-formal-analysis-of-noise-tolerance-training-bias-and-input-sensitivity-in-neural-networks-1912.01978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fannet-formal-analysis-of-noise-tolerance-training-bias-and-input-sensitivity-in-neural-networks-1912.01978"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bayesian-preference-learning-for-crowds-1912.01987</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bayesian-preference-learning-for-crowds-1912.01987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bayesian-preference-learning-for-crowds-1912.01987"/></url>
<url><loc>https://scifaro.com/en/abs/rtn-reparameterized-ternary-network-1912.02057</loc><lastmod>2019-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rtn-reparameterized-ternary-network-1912.02057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rtn-reparameterized-ternary-network-1912.02057"/></url>
<url><loc>https://scifaro.com/en/abs/safety-and-robustness-in-decision-making-deep-bayesian-recurrent-neural-networks-for-somatic-variant-calling-in-cancer-1912.02065</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safety-and-robustness-in-decision-making-deep-bayesian-recurrent-neural-networks-for-somatic-variant-calling-in-cancer-1912.02065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safety-and-robustness-in-decision-making-deep-bayesian-recurrent-neural-networks-for-somatic-variant-calling-in-cancer-1912.02065"/></url>
<url><loc>https://scifaro.com/en/abs/algaedice-policy-gradient-from-arbitrary-experience-1912.02074</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algaedice-policy-gradient-from-arbitrary-experience-1912.02074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algaedice-policy-gradient-from-arbitrary-experience-1912.02074"/></url>
<url><loc>https://scifaro.com/en/abs/expressiveness-and-learning-of-hidden-quantum-markov-models-1912.02098</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expressiveness-and-learning-of-hidden-quantum-markov-models-1912.02098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expressiveness-and-learning-of-hidden-quantum-markov-models-1912.02098"/></url>
<url><loc>https://scifaro.com/en/abs/extreme-learning-machine-design-for-dealing-with-unrepresentative-features-1912.02154</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extreme-learning-machine-design-for-dealing-with-unrepresentative-features-1912.02154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extreme-learning-machine-design-for-dealing-with-unrepresentative-features-1912.02154"/></url>
<url><loc>https://scifaro.com/en/abs/informative-gans-via-structured-regularization-of-optimal-transport-1912.02160</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/informative-gans-via-structured-regularization-of-optimal-transport-1912.02160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/informative-gans-via-structured-regularization-of-optimal-transport-1912.02160"/></url>
<url><loc>https://scifaro.com/en/abs/regression-with-uncertainty-quantification-in-large-scale-complex-data-1912.02163</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-with-uncertainty-quantification-in-large-scale-complex-data-1912.02163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-with-uncertainty-quantification-in-large-scale-complex-data-1912.02163"/></url>
<url><loc>https://scifaro.com/en/abs/copula-based-anomaly-scoring-and-localization-for-large-scale-high-dimensional-continuous-data-1912.02166</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copula-based-anomaly-scoring-and-localization-for-large-scale-high-dimensional-continuous-data-1912.02166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copula-based-anomaly-scoring-and-localization-for-large-scale-high-dimensional-continuous-data-1912.02166"/></url>
<url><loc>https://scifaro.com/en/abs/differentiation-of-blackbox-combinatorial-solvers-1912.02175</loc><lastmod>2024-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiation-of-blackbox-combinatorial-solvers-1912.02175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiation-of-blackbox-combinatorial-solvers-1912.02175"/></url>
<url><loc>https://scifaro.com/en/abs/fantastic-generalization-measures-and-where-to-find-them-1912.02178</loc><lastmod>2019-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fantastic-generalization-measures-and-where-to-find-them-1912.02178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fantastic-generalization-measures-and-where-to-find-them-1912.02178"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-semi-supervised-learning-via-graph-structure-learning-over-high-dense-points-1912.02233</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-semi-supervised-learning-via-graph-structure-learning-over-high-dense-points-1912.02233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-semi-supervised-learning-via-graph-structure-learning-over-high-dense-points-1912.02233"/></url>
<url><loc>https://scifaro.com/en/abs/deep-model-compression-via-two-stage-deep-reinforcement-learning-1912.02254</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-model-compression-via-two-stage-deep-reinforcement-learning-1912.02254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-model-compression-via-two-stage-deep-reinforcement-learning-1912.02254"/></url>
<url><loc>https://scifaro.com/en/abs/the-effect-of-task-and-training-on-intermediate-representations-in-convolutional-neural-networks-revealed-with-modified-rv-similarity-analysis-1912.02260</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effect-of-task-and-training-on-intermediate-representations-in-convolutional-neural-networks-revealed-with-modified-rv-similarity-analysis-1912.02260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effect-of-task-and-training-on-intermediate-representations-in-convolutional-neural-networks-revealed-with-modified-rv-similarity-analysis-1912.02260"/></url>
<url><loc>https://scifaro.com/en/abs/correspondent-banking-networks-theory-and-experiment-1912.02262</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correspondent-banking-networks-theory-and-experiment-1912.02262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correspondent-banking-networks-theory-and-experiment-1912.02262"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-stratospheric-weather-analyses-and-forecasts-by-deploying-sensors-from-a-weather-balloon-1912.02276</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-stratospheric-weather-analyses-and-forecasts-by-deploying-sensors-from-a-weather-balloon-1912.02276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-stratospheric-weather-analyses-and-forecasts-by-deploying-sensors-from-a-weather-balloon-1912.02276"/></url>
<url><loc>https://scifaro.com/en/abs/angular-visual-hardness-1912.02279</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/angular-visual-hardness-1912.02279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/angular-visual-hardness-1912.02279"/></url>
<url><loc>https://scifaro.com/en/abs/natural-alpha-embeddings-1912.02280</loc><lastmod>2019-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-alpha-embeddings-1912.02280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-alpha-embeddings-1912.02280"/></url>
<url><loc>https://scifaro.com/en/abs/deep-double-descent-where-bigger-models-and-more-data-hurt-1912.02292</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-double-descent-where-bigger-models-and-more-data-hurt-1912.02292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-double-descent-where-bigger-models-and-more-data-hurt-1912.02292"/></url>
<url><loc>https://scifaro.com/en/abs/habnet-machine-learning-remote-sensing-based-detection-and-prediction-of-harmful-algal-blooms-1912.02305</loc><lastmod>2020-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/habnet-machine-learning-remote-sensing-based-detection-and-prediction-of-harmful-algal-blooms-1912.02305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/habnet-machine-learning-remote-sensing-based-detection-and-prediction-of-harmful-algal-blooms-1912.02305"/></url>
<url><loc>https://scifaro.com/en/abs/rongba-a-robustly-optimized-natural-gradient-boosting-training-approach-with-leaf-number-clipping-1912.02338</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rongba-a-robustly-optimized-natural-gradient-boosting-training-approach-with-leaf-number-clipping-1912.02338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rongba-a-robustly-optimized-natural-gradient-boosting-training-approach-with-leaf-number-clipping-1912.02338"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistically-autoencoded-horseshoe-disentangled-multidomain-item-response-theory-models-1912.02351</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistically-autoencoded-horseshoe-disentangled-multidomain-item-response-theory-models-1912.02351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistically-autoencoded-horseshoe-disentangled-multidomain-item-response-theory-models-1912.02351"/></url>
<url><loc>https://scifaro.com/en/abs/inter-level-cooperation-in-hierarchical-reinforcement-learning-1912.02368</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inter-level-cooperation-in-hierarchical-reinforcement-learning-1912.02368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inter-level-cooperation-in-hierarchical-reinforcement-learning-1912.02368"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-pretraining-for-visual-dialog-a-simple-state-of-the-art-baseline-1912.02379</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-pretraining-for-visual-dialog-a-simple-state-of-the-art-baseline-1912.02379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-pretraining-for-visual-dialog-a-simple-state-of-the-art-baseline-1912.02379"/></url>
<url><loc>https://scifaro.com/en/abs/the-search-for-sparse-robust-neural-networks-1912.02386</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-search-for-sparse-robust-neural-networks-1912.02386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-search-for-sparse-robust-neural-networks-1912.02386"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-relational-causal-discovery-1912.02390</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-relational-causal-discovery-1912.02390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-relational-causal-discovery-1912.02390"/></url>
<url><loc>https://scifaro.com/en/abs/covariance-matrix-adaptation-for-the-rapid-illumination-of-behavior-space-1912.02400</loc><lastmod>2020-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariance-matrix-adaptation-for-the-rapid-illumination-of-behavior-space-1912.02400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariance-matrix-adaptation-for-the-rapid-illumination-of-behavior-space-1912.02400"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-time-series-by-a-novel-slope-based-similarity-measure-considering-particle-swarm-optimization-1912.02405</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-time-series-by-a-novel-slope-based-similarity-measure-considering-particle-swarm-optimization-1912.02405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-time-series-by-a-novel-slope-based-similarity-measure-considering-particle-swarm-optimization-1912.02405"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-the-optimization-landscapes-for-overcomplete-representation-learning-1912.02427</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-the-optimization-landscapes-for-overcomplete-representation-learning-1912.02427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-the-optimization-landscapes-for-overcomplete-representation-learning-1912.02427"/></url>
<url><loc>https://scifaro.com/en/abs/metalgan-multi-domain-label-less-image-synthesis-using-cgans-and-meta-learning-1912.02494</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metalgan-multi-domain-label-less-image-synthesis-using-cgans-and-meta-learning-1912.02494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metalgan-multi-domain-label-less-image-synthesis-using-cgans-and-meta-learning-1912.02494"/></url>
<url><loc>https://scifaro.com/en/abs/hindsight-credit-assignment-1912.02503</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hindsight-credit-assignment-1912.02503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hindsight-credit-assignment-1912.02503"/></url>
<url><loc>https://scifaro.com/en/abs/towards-explainable-deep-neural-networks-xdnn-1912.02523</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-explainable-deep-neural-networks-xdnn-1912.02523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-explainable-deep-neural-networks-xdnn-1912.02523"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-policy-space-expansion-in-reinforcement-learning-1912.02532</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-policy-space-expansion-in-reinforcement-learning-1912.02532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-policy-space-expansion-in-reinforcement-learning-1912.02532"/></url>
<url><loc>https://scifaro.com/en/abs/screening-data-points-in-empirical-risk-minimization-via-ellipsoidal-regions-and-safe-loss-functions-1912.02566</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/screening-data-points-in-empirical-risk-minimization-via-ellipsoidal-regions-and-safe-loss-functions-1912.02566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/screening-data-points-in-empirical-risk-minimization-via-ellipsoidal-regions-and-safe-loss-functions-1912.02566"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-pricing-on-e-commerce-platform-with-deep-reinforcement-learning-a-field-experiment-1912.02572</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-pricing-on-e-commerce-platform-with-deep-reinforcement-learning-a-field-experiment-1912.02572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-pricing-on-e-commerce-platform-with-deep-reinforcement-learning-a-field-experiment-1912.02572"/></url>
<url><loc>https://scifaro.com/en/abs/collective-learning-1912.02580</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collective-learning-1912.02580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collective-learning-1912.02580"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-recovery-from-noisy-and-multi-level-quantized-measurements-1912.02588</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-recovery-from-noisy-and-multi-level-quantized-measurements-1912.02588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-recovery-from-noisy-and-multi-level-quantized-measurements-1912.02588"/></url>
<url><loc>https://scifaro.com/en/abs/region-wise-attack-on-efficient-generation-of-robust-physical-adversarial-examples-1912.02598</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/region-wise-attack-on-efficient-generation-of-robust-physical-adversarial-examples-1912.02598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/region-wise-attack-on-efficient-generation-of-robust-physical-adversarial-examples-1912.02598"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-residual-and-dilated-dense-neural-networks-via-convolutional-sparse-coding-1912.02605</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-residual-and-dilated-dense-neural-networks-via-convolutional-sparse-coding-1912.02605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-residual-and-dilated-dense-neural-networks-via-convolutional-sparse-coding-1912.02605"/></url>
<url><loc>https://scifaro.com/en/abs/learning-efficient-representation-for-intrinsic-motivation-1912.02624</loc><lastmod>2020-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-efficient-representation-for-intrinsic-motivation-1912.02624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-efficient-representation-for-intrinsic-motivation-1912.02624"/></url>
<url><loc>https://scifaro.com/en/abs/fundamental-limitations-in-sequential-prediction-and-recursive-algorithms-mathcal-l-p-bounds-via-an-entropic-analysis-1912.02628</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fundamental-limitations-in-sequential-prediction-and-recursive-algorithms-mathcal-l-p-bounds-via-an-entropic-analysis-1912.02628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fundamental-limitations-in-sequential-prediction-and-recursive-algorithms-mathcal-l-p-bounds-via-an-entropic-analysis-1912.02628"/></url>
<url><loc>https://scifaro.com/en/abs/a-comprehensive-survey-on-machine-learning-techniques-and-user-authentication-approaches-for-credit-card-fraud-detection-1912.02629</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comprehensive-survey-on-machine-learning-techniques-and-user-authentication-approaches-for-credit-card-fraud-detection-1912.02629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comprehensive-survey-on-machine-learning-techniques-and-user-authentication-approaches-for-credit-card-fraud-detection-1912.02629"/></url>
<url><loc>https://scifaro.com/en/abs/trident-efficient-4pc-framework-for-privacy-preserving-machine-learning-1912.02631</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trident-efficient-4pc-framework-for-privacy-preserving-machine-learning-1912.02631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trident-efficient-4pc-framework-for-privacy-preserving-machine-learning-1912.02631"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-variational-bayesian-kernel-selection-for-sparse-gaussian-process-regression-1912.02641</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-variational-bayesian-kernel-selection-for-sparse-gaussian-process-regression-1912.02641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-variational-bayesian-kernel-selection-for-sparse-gaussian-process-regression-1912.02641"/></url>
<url><loc>https://scifaro.com/en/abs/binarized-canonical-polyadic-decomposition-for-knowledge-graph-completion-1912.02686</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binarized-canonical-polyadic-decomposition-for-knowledge-graph-completion-1912.02686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binarized-canonical-polyadic-decomposition-for-knowledge-graph-completion-1912.02686"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-norm-bounded-weighted-ambiguity-sets-for-robust-mdps-1912.02696</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-norm-bounded-weighted-ambiguity-sets-for-robust-mdps-1912.02696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-norm-bounded-weighted-ambiguity-sets-for-robust-mdps-1912.02696"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-contextual-language-representation-of-radiology-reports-to-improve-the-identification-of-communication-urgency-1912.02703</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-contextual-language-representation-of-radiology-reports-to-improve-the-identification-of-communication-urgency-1912.02703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-contextual-language-representation-of-radiology-reports-to-improve-the-identification-of-communication-urgency-1912.02703"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-the-optimal-policy-using-markov-chain-monte-carlo-1912.02714</loc><lastmod>2019-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-the-optimal-policy-using-markov-chain-monte-carlo-1912.02714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-the-optimal-policy-using-markov-chain-monte-carlo-1912.02714"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sample-complexity-of-learning-sum-product-networks-1912.02765</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-learning-sum-product-networks-1912.02765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-learning-sum-product-networks-1912.02765"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-risk-via-optimal-transport-and-optimal-couplings-1912.02794</loc><lastmod>2020-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-risk-via-optimal-transport-and-optimal-couplings-1912.02794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-risk-via-optimal-transport-and-optimal-couplings-1912.02794"/></url>
<url><loc>https://scifaro.com/en/abs/combining-q-learning-and-search-with-amortized-value-estimates-1912.02807</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-q-learning-and-search-with-amortized-value-estimates-1912.02807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-q-learning-and-search-with-amortized-value-estimates-1912.02807"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-from-an-auxiliary-discriminative-task-for-unsupervised-anomaly-detection-1912.02864</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-from-an-auxiliary-discriminative-task-for-unsupervised-anomaly-detection-1912.02864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-from-an-auxiliary-discriminative-task-for-unsupervised-anomaly-detection-1912.02864"/></url>
<url><loc>https://scifaro.com/en/abs/training-agents-using-upside-down-reinforcement-learning-1912.02877</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-agents-using-upside-down-reinforcement-learning-1912.02877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-agents-using-upside-down-reinforcement-learning-1912.02877"/></url>
<url><loc>https://scifaro.com/en/abs/learning-undirected-models-via-query-training-1912.02893</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-undirected-models-via-query-training-1912.02893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-undirected-models-via-query-training-1912.02893"/></url>
<url><loc>https://scifaro.com/en/abs/a-clustering-approach-to-edge-controller-placement-in-software-defined-networks-with-cost-balancing-1912.02915</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-clustering-approach-to-edge-controller-placement-in-software-defined-networks-with-cost-balancing-1912.02915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-clustering-approach-to-edge-controller-placement-in-software-defined-networks-with-cost-balancing-1912.02915"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-on-the-intrinsic-privacy-of-sgd-1912.02919</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-on-the-intrinsic-privacy-of-sgd-1912.02919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-on-the-intrinsic-privacy-of-sgd-1912.02919"/></url>
<url><loc>https://scifaro.com/en/abs/a-pedestrian-path-planning-model-in-accordance-with-obstacle-s-danger-with-reinforcement-learning-1912.02945</loc><lastmod>2020-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pedestrian-path-planning-model-in-accordance-with-obstacle-s-danger-with-reinforcement-learning-1912.02945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pedestrian-path-planning-model-in-accordance-with-obstacle-s-danger-with-reinforcement-learning-1912.02945"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-neural-networks-for-multiphysics-data-assimilation-with-application-to-subsurface-transport-1912.02968</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-neural-networks-for-multiphysics-data-assimilation-with-application-to-subsurface-transport-1912.02968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-neural-networks-for-multiphysics-data-assimilation-with-application-to-subsurface-transport-1912.02968"/></url>
<url><loc>https://scifaro.com/en/abs/observational-overfitting-in-reinforcement-learning-1912.02975</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/observational-overfitting-in-reinforcement-learning-1912.02975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/observational-overfitting-in-reinforcement-learning-1912.02975"/></url>
<url><loc>https://scifaro.com/en/abs/how-does-an-approximate-model-help-in-reinforcement-learning-1912.02986</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-does-an-approximate-model-help-in-reinforcement-learning-1912.02986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-does-an-approximate-model-help-in-reinforcement-learning-1912.02986"/></url>
<url><loc>https://scifaro.com/en/abs/influenza-modeling-based-on-massive-feature-engineering-and-international-flow-deconvolution-1912.02989</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/influenza-modeling-based-on-massive-feature-engineering-and-international-flow-deconvolution-1912.02989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/influenza-modeling-based-on-massive-feature-engineering-and-international-flow-deconvolution-1912.02989"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-free-learning-of-bayesian-quantized-neural-networks-1912.02992</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-free-learning-of-bayesian-quantized-neural-networks-1912.02992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-free-learning-of-bayesian-quantized-neural-networks-1912.02992"/></url>
<url><loc>https://scifaro.com/en/abs/improved-analysis-of-spectral-algorithm-for-clustering-1912.02997</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-analysis-of-spectral-algorithm-for-clustering-1912.02997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-analysis-of-spectral-algorithm-for-clustering-1912.02997"/></url>
<url><loc>https://scifaro.com/en/abs/a-priori-generalization-error-for-two-layer-relu-neural-network-through-minimum-norm-solution-1912.03011</loc><lastmod>2020-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-priori-generalization-error-for-two-layer-relu-neural-network-through-minimum-norm-solution-1912.03011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-priori-generalization-error-for-two-layer-relu-neural-network-through-minimum-norm-solution-1912.03011"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-correspond-dynamical-systems-1912.03015</loc><lastmod>2020-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-correspond-dynamical-systems-1912.03015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-correspond-dynamical-systems-1912.03015"/></url>
<url><loc>https://scifaro.com/en/abs/performing-arithmetic-using-a-neural-network-trained-on-digit-permutation-pairs-1912.03035</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performing-arithmetic-using-a-neural-network-trained-on-digit-permutation-pairs-1912.03035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performing-arithmetic-using-a-neural-network-trained-on-digit-permutation-pairs-1912.03035"/></url>
<url><loc>https://scifaro.com/en/abs/improved-pac-bayesian-bounds-for-linear-regression-1912.03036</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-pac-bayesian-bounds-for-linear-regression-1912.03036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-pac-bayesian-bounds-for-linear-regression-1912.03036"/></url>
<url><loc>https://scifaro.com/en/abs/hyperbolic-graph-attention-network-1912.03046</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperbolic-graph-attention-network-1912.03046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperbolic-graph-attention-network-1912.03046"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-shortcomings-for-continual-learning-1912.03049</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-shortcomings-for-continual-learning-1912.03049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-shortcomings-for-continual-learning-1912.03049"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-extraction-from-the-learning-of-sequences-in-a-long-short-term-memory-lstm-architecture-1912.03126</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-extraction-from-the-learning-of-sequences-in-a-long-short-term-memory-lstm-architecture-1912.03126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-extraction-from-the-learning-of-sequences-in-a-long-short-term-memory-lstm-architecture-1912.03126"/></url>
<url><loc>https://scifaro.com/en/abs/new-potential-based-bounds-for-the-geometric-stopping-version-of-prediction-with-expert-advice-1912.03132</loc><lastmod>2020-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-potential-based-bounds-for-the-geometric-stopping-version-of-prediction-with-expert-advice-1912.03132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-potential-based-bounds-for-the-geometric-stopping-version-of-prediction-with-expert-advice-1912.03132"/></url>
<url><loc>https://scifaro.com/en/abs/why-should-we-combine-training-and-post-training-methods-for-out-of-distribution-detection-1912.03133</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-should-we-combine-training-and-post-training-methods-for-out-of-distribution-detection-1912.03133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-should-we-combine-training-and-post-training-methods-for-out-of-distribution-detection-1912.03133"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-robustness-in-the-wild-via-adversarial-mixing-with-disentangled-representations-1912.03192</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-robustness-in-the-wild-via-adversarial-mixing-with-disentangled-representations-1912.03192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-robustness-in-the-wild-via-adversarial-mixing-with-disentangled-representations-1912.03192"/></url>
<url><loc>https://scifaro.com/en/abs/risk-averse-trust-region-optimization-for-reward-volatility-reduction-1912.03193</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-averse-trust-region-optimization-for-reward-volatility-reduction-1912.03193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-averse-trust-region-optimization-for-reward-volatility-reduction-1912.03193"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-spiking-approach-compared-to-deep-feedforward-networks-on-stepwise-pixel-erasement-1912.03201</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-spiking-approach-compared-to-deep-feedforward-networks-on-stepwise-pixel-erasement-1912.03201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-spiking-approach-compared-to-deep-feedforward-networks-on-stepwise-pixel-erasement-1912.03201"/></url>
<url><loc>https://scifaro.com/en/abs/tree-bark-re-identification-using-a-deep-learning-feature-descriptor-1912.03221</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-bark-re-identification-using-a-deep-learning-feature-descriptor-1912.03221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-bark-re-identification-using-a-deep-learning-feature-descriptor-1912.03221"/></url>
<url><loc>https://scifaro.com/en/abs/what-do-you-mean-i-m-funny-personalizing-the-joke-skill-of-a-voice-controlled-virtual-assistant-1912.03234</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-do-you-mean-i-m-funny-personalizing-the-joke-skill-of-a-voice-controlled-virtual-assistant-1912.03234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-do-you-mean-i-m-funny-personalizing-the-joke-skill-of-a-voice-controlled-virtual-assistant-1912.03234"/></url>
<url><loc>https://scifaro.com/en/abs/valan-vision-and-language-agent-navigation-1912.03241</loc><lastmod>2019-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/valan-vision-and-language-agent-navigation-1912.03241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/valan-vision-and-language-agent-navigation-1912.03241"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-synthetic-mixed-type-data-generation-for-unsupervised-learning-1912.03250</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-synthetic-mixed-type-data-generation-for-unsupervised-learning-1912.03250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-synthetic-mixed-type-data-generation-for-unsupervised-learning-1912.03250"/></url>
<url><loc>https://scifaro.com/en/abs/your-classifier-is-secretly-an-energy-based-model-and-you-should-treat-it-like-one-1912.03263</loc><lastmod>2020-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/your-classifier-is-secretly-an-energy-based-model-and-you-should-treat-it-like-one-1912.03263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/your-classifier-is-secretly-an-energy-based-model-and-you-should-treat-it-like-one-1912.03263"/></url>
<url><loc>https://scifaro.com/en/abs/preserving-causal-constraints-in-counterfactual-explanations-for-machine-learning-classifiers-1912.03277</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preserving-causal-constraints-in-counterfactual-explanations-for-machine-learning-classifiers-1912.03277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preserving-causal-constraints-in-counterfactual-explanations-for-machine-learning-classifiers-1912.03277"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-capsule-autoencoders-for-3d-point-clouds-1912.03310</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-capsule-autoencoders-for-3d-point-clouds-1912.03310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-capsule-autoencoders-for-3d-point-clouds-1912.03310"/></url>
<url><loc>https://scifaro.com/en/abs/robust-deep-graph-based-learning-for-binary-classification-1912.03321</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-deep-graph-based-learning-for-binary-classification-1912.03321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-deep-graph-based-learning-for-binary-classification-1912.03321"/></url>
<url><loc>https://scifaro.com/en/abs/principal-component-properties-of-adversarial-samples-1912.03406</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principal-component-properties-of-adversarial-samples-1912.03406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principal-component-properties-of-adversarial-samples-1912.03406"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-on-the-relation-between-network-interpretability-and-adversarial-robustness-1912.03430</loc><lastmod>2020-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-on-the-relation-between-network-interpretability-and-adversarial-robustness-1912.03430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-on-the-relation-between-network-interpretability-and-adversarial-robustness-1912.03430"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generalization-of-structured-low-rank-algorithms-deep-slr-1912.03433</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generalization-of-structured-low-rank-algorithms-deep-slr-1912.03433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generalization-of-structured-low-rank-algorithms-deep-slr-1912.03433"/></url>
<url><loc>https://scifaro.com/en/abs/potential-passenger-flow-prediction-a-novel-study-for-urban-transportation-development-1912.03440</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/potential-passenger-flow-prediction-a-novel-study-for-urban-transportation-development-1912.03440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/potential-passenger-flow-prediction-a-novel-study-for-urban-transportation-development-1912.03440"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-guided-deep-learning-algorithm-to-design-low-cost-spp-films-1912.03452</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-guided-deep-learning-algorithm-to-design-low-cost-spp-films-1912.03452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-guided-deep-learning-algorithm-to-design-low-cost-spp-films-1912.03452"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-neuronal-attention-models-1912.03467</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-neuronal-attention-models-1912.03467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-neuronal-attention-models-1912.03467"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-inference-in-machine-learning-services-using-trusted-execution-environments-1912.03485</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-inference-in-machine-learning-services-using-trusted-execution-environments-1912.03485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-inference-in-machine-learning-services-using-trusted-execution-environments-1912.03485"/></url>
<url><loc>https://scifaro.com/en/abs/robust-deep-ordinal-regression-under-label-noise-1912.03488</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-deep-ordinal-regression-under-label-noise-1912.03488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-deep-ordinal-regression-under-label-noise-1912.03488"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-rank-based-metrics-with-blackbox-differentiation-1912.03500</loc><lastmod>2024-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-rank-based-metrics-with-blackbox-differentiation-1912.03500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-rank-based-metrics-with-blackbox-differentiation-1912.03500"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-cooperative-multi-agent-reinforcement-learning-with-skill-discovery-1912.03558</loc><lastmod>2020-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-cooperative-multi-agent-reinforcement-learning-with-skill-discovery-1912.03558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-cooperative-multi-agent-reinforcement-learning-with-skill-discovery-1912.03558"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-with-cheap-differential-operators-1912.03579</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-with-cheap-differential-operators-1912.03579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-with-cheap-differential-operators-1912.03579"/></url>
<url><loc>https://scifaro.com/en/abs/pidforest-anomaly-detection-via-partial-identification-1912.03582</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pidforest-anomaly-detection-via-partial-identification-1912.03582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pidforest-anomaly-detection-via-partial-identification-1912.03582"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-feature-aware-data-modeling-for-complex-physics-simulations-1912.03587</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-feature-aware-data-modeling-for-complex-physics-simulations-1912.03587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-feature-aware-data-modeling-for-complex-physics-simulations-1912.03587"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-cyberattacks-in-industrial-control-systems-using-online-learning-algorithms-1912.03589</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-cyberattacks-in-industrial-control-systems-using-online-learning-algorithms-1912.03589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-cyberattacks-in-industrial-control-systems-using-online-learning-algorithms-1912.03589"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-back-alleys-analysing-the-robustness-of-alternative-neural-network-architectures-against-adversarial-attacks-1912.03609</loc><lastmod>2020-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-back-alleys-analysing-the-robustness-of-alternative-neural-network-architectures-against-adversarial-attacks-1912.03609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-back-alleys-analysing-the-robustness-of-alternative-neural-network-architectures-against-adversarial-attacks-1912.03609"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-black-box-assessment-of-autonomous-vehicle-safety-1912.03618</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-black-box-assessment-of-autonomous-vehicle-safety-1912.03618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-black-box-assessment-of-autonomous-vehicle-safety-1912.03618"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-structure-adaptation-for-continual-learning-1912.03624</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-structure-adaptation-for-continual-learning-1912.03624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-structure-adaptation-for-continual-learning-1912.03624"/></url>
<url><loc>https://scifaro.com/en/abs/human-to-ai-coach-improving-human-inputs-to-ai-systems-1912.03652</loc><lastmod>2020-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-to-ai-coach-improving-human-inputs-to-ai-systems-1912.03652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-to-ai-coach-improving-human-inputs-to-ai-systems-1912.03652"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-load-forecasting-with-dense-average-network-1912.03668</loc><lastmod>2020-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-load-forecasting-with-dense-average-network-1912.03668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-load-forecasting-with-dense-average-network-1912.03668"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-class-confusion-for-versatile-domain-adaptation-1912.03699</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-class-confusion-for-versatile-domain-adaptation-1912.03699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-class-confusion-for-versatile-domain-adaptation-1912.03699"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-hybrid-graph-coloring-algorithm-for-register-allocation-1912.03700</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-hybrid-graph-coloring-algorithm-for-register-allocation-1912.03700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-hybrid-graph-coloring-algorithm-for-register-allocation-1912.03700"/></url>
<url><loc>https://scifaro.com/en/abs/graph-augmented-convolutional-networks-on-drug-drug-interactions-prediction-1912.03702</loc><lastmod>2025-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-augmented-convolutional-networks-on-drug-drug-interactions-prediction-1912.03702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-augmented-convolutional-networks-on-drug-drug-interactions-prediction-1912.03702"/></url>
<url><loc>https://scifaro.com/en/abs/mathtt-medgraph-structural-and-temporal-representation-learning-of-electronic-medical-records-1912.03703</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mathtt-medgraph-structural-and-temporal-representation-learning-of-electronic-medical-records-1912.03703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mathtt-medgraph-structural-and-temporal-representation-learning-of-electronic-medical-records-1912.03703"/></url>
<url><loc>https://scifaro.com/en/abs/attentive-representation-learning-with-adversarial-training-for-short-text-clustering-1912.03720</loc><lastmod>2021-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attentive-representation-learning-with-adversarial-training-for-short-text-clustering-1912.03720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attentive-representation-learning-with-adversarial-training-for-short-text-clustering-1912.03720"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-neural-networks-for-user-identificationbased-on-motion-sensors-represented-as-image-1912.03760</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-neural-networks-for-user-identificationbased-on-motion-sensors-represented-as-image-1912.03760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-neural-networks-for-user-identificationbased-on-motion-sensors-represented-as-image-1912.03760"/></url>
<url><loc>https://scifaro.com/en/abs/variationally-regularized-graph-based-representation-learning-for-electronic-health-records-1912.03761</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variationally-regularized-graph-based-representation-learning-for-electronic-health-records-1912.03761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variationally-regularized-graph-based-representation-learning-for-electronic-health-records-1912.03761"/></url>
<url><loc>https://scifaro.com/en/abs/cost-sensitive-training-for-autoregressive-models-1912.03771</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-sensitive-training-for-autoregressive-models-1912.03771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-sensitive-training-for-autoregressive-models-1912.03771"/></url>
<url><loc>https://scifaro.com/en/abs/getting-topology-and-point-cloud-generation-to-mesh-1912.03787</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/getting-topology-and-point-cloud-generation-to-mesh-1912.03787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/getting-topology-and-point-cloud-generation-to-mesh-1912.03787"/></url>
<url><loc>https://scifaro.com/en/abs/feature-engineering-combined-with-1-d-convolutional-neural-network-for-improved-mortality-prediction-1912.03789</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-engineering-combined-with-1-d-convolutional-neural-network-for-improved-mortality-prediction-1912.03789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-engineering-combined-with-1-d-convolutional-neural-network-for-improved-mortality-prediction-1912.03789"/></url>
<url><loc>https://scifaro.com/en/abs/decision-support-system-for-detection-and-classification-of-skin-cancer-using-cnn-1912.03798</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-support-system-for-detection-and-classification-of-skin-cancer-using-cnn-1912.03798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-support-system-for-detection-and-classification-of-skin-cancer-using-cnn-1912.03798"/></url>
<url><loc>https://scifaro.com/en/abs/group-fairness-in-bandit-arm-selection-1912.03802</loc><lastmod>2022-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-fairness-in-bandit-arm-selection-1912.03802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-fairness-in-bandit-arm-selection-1912.03802"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-without-memorization-1912.03820</loc><lastmod>2020-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-without-memorization-1912.03820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-without-memorization-1912.03820"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-multi-agent-reinforcement-learning-with-networked-agents-recent-advances-1912.03821</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-multi-agent-reinforcement-learning-with-networked-agents-recent-advances-1912.03821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-multi-agent-reinforcement-learning-with-networked-agents-recent-advances-1912.03821"/></url>
<url><loc>https://scifaro.com/en/abs/no-representation-without-transformation-1912.03845</loc><lastmod>2020-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-representation-without-transformation-1912.03845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-representation-without-transformation-1912.03845"/></url>
<url><loc>https://scifaro.com/en/abs/tropical-geometry-and-piecewise-linear-approximation-of-curves-and-surfaces-on-weighted-lattices-1912.03891</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tropical-geometry-and-piecewise-linear-approximation-of-curves-and-surfaces-on-weighted-lattices-1912.03891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tropical-geometry-and-piecewise-linear-approximation-of-curves-and-surfaces-on-weighted-lattices-1912.03891"/></url>
<url><loc>https://scifaro.com/en/abs/explicit-group-sparse-projection-with-applications-to-deep-learning-and-nmf-1912.03896</loc><lastmod>2025-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explicit-group-sparse-projection-with-applications-to-deep-learning-and-nmf-1912.03896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explicit-group-sparse-projection-with-applications-to-deep-learning-and-nmf-1912.03896"/></url>
<url><loc>https://scifaro.com/en/abs/chainerrl-a-deep-reinforcement-learning-library-1912.03905</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chainerrl-a-deep-reinforcement-learning-library-1912.03905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chainerrl-a-deep-reinforcement-learning-library-1912.03905"/></url>
<url><loc>https://scifaro.com/en/abs/transformer-based-reinforcement-learning-for-games-1912.03918</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformer-based-reinforcement-learning-for-games-1912.03918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformer-based-reinforcement-learning-for-games-1912.03918"/></url>
<url><loc>https://scifaro.com/en/abs/stealing-knowledge-from-protected-deep-neural-networks-using-composite-unlabeled-data-1912.03959</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stealing-knowledge-from-protected-deep-neural-networks-using-composite-unlabeled-data-1912.03959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stealing-knowledge-from-protected-deep-neural-networks-using-composite-unlabeled-data-1912.03959"/></url>
<url><loc>https://scifaro.com/en/abs/metaci-meta-learning-for-causal-inference-in-a-heterogeneous-population-1912.03960</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metaci-meta-learning-for-causal-inference-in-a-heterogeneous-population-1912.03960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metaci-meta-learning-for-causal-inference-in-a-heterogeneous-population-1912.03960"/></url>
<url><loc>https://scifaro.com/en/abs/infocnf-an-efficient-conditional-continuous-normalizing-flow-with-adaptive-solvers-1912.03978</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infocnf-an-efficient-conditional-continuous-normalizing-flow-with-adaptive-solvers-1912.03978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infocnf-an-efficient-conditional-continuous-normalizing-flow-with-adaptive-solvers-1912.03978"/></url>
<url><loc>https://scifaro.com/en/abs/expert-guided-regularization-via-distance-metric-learning-1912.03984</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expert-guided-regularization-via-distance-metric-learning-1912.03984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expert-guided-regularization-via-distance-metric-learning-1912.03984"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-representations-incrementally-in-deep-reinforcement-learning-1912.04002</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-representations-incrementally-in-deep-reinforcement-learning-1912.04002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-representations-incrementally-in-deep-reinforcement-learning-1912.04002"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-of-neural-networks-for-trend-detection-in-time-series-1912.04009</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-of-neural-networks-for-trend-detection-in-time-series-1912.04009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-of-neural-networks-for-trend-detection-in-time-series-1912.04009"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-total-variation-distance-estimation-with-neural-networks-for-merging-over-clusterings-1912.04022</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-total-variation-distance-estimation-with-neural-networks-for-merging-over-clusterings-1912.04022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-total-variation-distance-estimation-with-neural-networks-for-merging-over-clusterings-1912.04022"/></url>
<url><loc>https://scifaro.com/en/abs/element-level-differential-privacy-the-right-granularity-of-privacy-1912.04042</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/element-level-differential-privacy-the-right-granularity-of-privacy-1912.04042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/element-level-differential-privacy-the-right-granularity-of-privacy-1912.04042"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-factorization-of-3d-convolutional-kernels-1912.04075</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-factorization-of-3d-convolutional-kernels-1912.04075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-factorization-of-3d-convolutional-kernels-1912.04075"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-point-processes-for-dynamic-review-models-1912.04132</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-point-processes-for-dynamic-review-models-1912.04132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-point-processes-for-dynamic-review-models-1912.04132"/></url>
<url><loc>https://scifaro.com/en/abs/a-weak-supervision-approach-to-detecting-visual-anomalies-for-automated-testing-of-graphics-units-1912.04138</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-weak-supervision-approach-to-detecting-visual-anomalies-for-automated-testing-of-graphics-units-1912.04138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-weak-supervision-approach-to-detecting-visual-anomalies-for-automated-testing-of-graphics-units-1912.04138"/></url>
<url><loc>https://scifaro.com/en/abs/butterfly-net2-simplified-butterfly-net-and-fourier-transform-initialization-1912.04154</loc><lastmod>2020-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/butterfly-net2-simplified-butterfly-net-and-fourier-transform-initialization-1912.04154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/butterfly-net2-simplified-butterfly-net-and-fourier-transform-initialization-1912.04154"/></url>
<url><loc>https://scifaro.com/en/abs/deep-bayesian-recurrent-neural-networks-for-somatic-variant-calling-in-cancer-1912.04174</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-bayesian-recurrent-neural-networks-for-somatic-variant-calling-in-cancer-1912.04174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-bayesian-recurrent-neural-networks-for-somatic-variant-calling-in-cancer-1912.04174"/></url>
<url><loc>https://scifaro.com/en/abs/learning-latent-state-spaces-for-planning-through-reward-prediction-1912.04201</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-latent-state-spaces-for-planning-through-reward-prediction-1912.04201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-latent-state-spaces-for-planning-through-reward-prediction-1912.04201"/></url>
<url><loc>https://scifaro.com/en/abs/cgans-with-multi-hinge-loss-1912.04216</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cgans-with-multi-hinge-loss-1912.04216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cgans-with-multi-hinge-loss-1912.04216"/></url>
<url><loc>https://scifaro.com/en/abs/location-trace-privacy-under-conditional-priors-1912.04228</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/location-trace-privacy-under-conditional-priors-1912.04228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/location-trace-privacy-under-conditional-priors-1912.04228"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-recovery-of-agent-rewards-from-latent-spaces-of-the-limit-order-book-1912.04242</loc><lastmod>2019-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-recovery-of-agent-rewards-from-latent-spaces-of-the-limit-order-book-1912.04242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-recovery-of-agent-rewards-from-latent-spaces-of-the-limit-order-book-1912.04242"/></url>
<url><loc>https://scifaro.com/en/abs/in-defense-of-uniform-convergence-generalization-via-derandomization-with-an-application-to-interpolating-predictors-1912.04265</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-defense-of-uniform-convergence-generalization-via-derandomization-with-an-application-to-interpolating-predictors-1912.04265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-defense-of-uniform-convergence-generalization-via-derandomization-with-an-application-to-interpolating-predictors-1912.04265"/></url>
<url><loc>https://scifaro.com/en/abs/depth-width-trade-offs-for-relu-networks-via-sharkovsky-s-theorem-1912.04378</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depth-width-trade-offs-for-relu-networks-via-sharkovsky-s-theorem-1912.04378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depth-width-trade-offs-for-relu-networks-via-sharkovsky-s-theorem-1912.04378"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-approach-to-generate-neuroimaging-modalities-with-adversarial-training-1912.04391</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-approach-to-generate-neuroimaging-modalities-with-adversarial-training-1912.04391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-approach-to-generate-neuroimaging-modalities-with-adversarial-training-1912.04391"/></url>
<url><loc>https://scifaro.com/en/abs/winning-the-lottery-with-continuous-sparsification-1912.04427</loc><lastmod>2021-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/winning-the-lottery-with-continuous-sparsification-1912.04427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/winning-the-lottery-with-continuous-sparsification-1912.04427"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-learnability-of-classification-algorithms-using-simple-data-preprocessing-in-fmri-scans-of-alzheimer-s-disease-1912.04453</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-learnability-of-classification-algorithms-using-simple-data-preprocessing-in-fmri-scans-of-alzheimer-s-disease-1912.04453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-learnability-of-classification-algorithms-using-simple-data-preprocessing-in-fmri-scans-of-alzheimer-s-disease-1912.04453"/></url>
<url><loc>https://scifaro.com/en/abs/deep-bayesian-reward-learning-from-preferences-1912.04472</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-bayesian-reward-learning-from-preferences-1912.04472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-bayesian-reward-learning-from-preferences-1912.04472"/></url>
<url><loc>https://scifaro.com/en/abs/smaug-end-to-end-full-stack-simulation-infrastructure-for-deep-learning-workloads-1912.04481</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smaug-end-to-end-full-stack-simulation-infrastructure-for-deep-learning-workloads-1912.04481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smaug-end-to-end-full-stack-simulation-infrastructure-for-deep-learning-workloads-1912.04481"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-catastrophic-forgetting-in-modular-neural-networks-by-dynamic-information-balancing-1912.04508</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-catastrophic-forgetting-in-modular-neural-networks-by-dynamic-information-balancing-1912.04508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-catastrophic-forgetting-in-modular-neural-networks-by-dynamic-information-balancing-1912.04508"/></url>
<url><loc>https://scifaro.com/en/abs/a-finite-time-analysis-of-q-learning-with-neural-network-function-approximation-1912.04511</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-finite-time-analysis-of-q-learning-with-neural-network-function-approximation-1912.04511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-finite-time-analysis-of-q-learning-with-neural-network-function-approximation-1912.04511"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-based-outdoor-position-recovery-with-telco-data-1912.04521</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-based-outdoor-position-recovery-with-telco-data-1912.04521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-based-outdoor-position-recovery-with-telco-data-1912.04521"/></url>
<url><loc>https://scifaro.com/en/abs/learning-pose-estimation-for-uav-autonomous-navigation-andlanding-using-visual-inertial-sensor-data-1912.04527</loc><lastmod>2020-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-pose-estimation-for-uav-autonomous-navigation-andlanding-using-visual-inertial-sensor-data-1912.04527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-pose-estimation-for-uav-autonomous-navigation-andlanding-using-visual-inertial-sensor-data-1912.04527"/></url>
<url><loc>https://scifaro.com/en/abs/no-trick-treat-kernel-adaptive-filtering-using-deterministic-features-1912.04530</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-trick-treat-kernel-adaptive-filtering-using-deterministic-features-1912.04530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-trick-treat-kernel-adaptive-filtering-using-deterministic-features-1912.04530"/></url>
<url><loc>https://scifaro.com/en/abs/exact-expressions-for-double-descent-and-implicit-regularization-via-surrogate-random-design-1912.04533</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-expressions-for-double-descent-and-implicit-regularization-via-surrogate-random-design-1912.04533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-expressions-for-double-descent-and-implicit-regularization-via-surrogate-random-design-1912.04533"/></url>
<url><loc>https://scifaro.com/en/abs/expansion-of-cyber-attack-data-from-unbalanced-datasets-using-generative-techniques-1912.04549</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expansion-of-cyber-attack-data-from-unbalanced-datasets-using-generative-techniques-1912.04549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expansion-of-cyber-attack-data-from-unbalanced-datasets-using-generative-techniques-1912.04549"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-entrance-position-detection-based-on-wi-fi-and-gps-signals-using-machine-learning-1912.04556</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-entrance-position-detection-based-on-wi-fi-and-gps-signals-using-machine-learning-1912.04556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-entrance-position-detection-based-on-wi-fi-and-gps-signals-using-machine-learning-1912.04556"/></url>
<url><loc>https://scifaro.com/en/abs/backprop-diffusion-is-biologically-plausible-1912.04635</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backprop-diffusion-is-biologically-plausible-1912.04635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backprop-diffusion-is-biologically-plausible-1912.04635"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-based-explicit-mpc-for-chemical-reactor-control-1912.04684</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-based-explicit-mpc-for-chemical-reactor-control-1912.04684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-based-explicit-mpc-for-chemical-reactor-control-1912.04684"/></url>
<url><loc>https://scifaro.com/en/abs/reconstructing-multi-echo-magnetic-resonance-images-via-structured-deep-dictionary-learning-1912.04690</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconstructing-multi-echo-magnetic-resonance-images-via-structured-deep-dictionary-learning-1912.04690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconstructing-multi-echo-magnetic-resonance-images-via-structured-deep-dictionary-learning-1912.04690"/></url>
<url><loc>https://scifaro.com/en/abs/transparent-classification-with-multilayer-logical-perceptrons-and-random-binarization-1912.04695</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transparent-classification-with-multilayer-logical-perceptrons-and-random-binarization-1912.04695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transparent-classification-with-multilayer-logical-perceptrons-and-random-binarization-1912.04695"/></url>
<url><loc>https://scifaro.com/en/abs/transformed-subspace-clustering-1912.04734</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformed-subspace-clustering-1912.04734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformed-subspace-clustering-1912.04734"/></url>
<url><loc>https://scifaro.com/en/abs/oversampling-log-messages-using-a-sequence-generative-adversarial-network-for-anomaly-detection-and-classification-1912.04747</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oversampling-log-messages-using-a-sequence-generative-adversarial-network-for-anomaly-detection-and-classification-1912.04747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oversampling-log-messages-using-a-sequence-generative-adversarial-network-for-anomaly-detection-and-classification-1912.04747"/></url>
<url><loc>https://scifaro.com/en/abs/deep-latent-factor-model-for-collaborative-filtering-1912.04754</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-latent-factor-model-for-collaborative-filtering-1912.04754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-latent-factor-model-for-collaborative-filtering-1912.04754"/></url>
<url><loc>https://scifaro.com/en/abs/frivolous-units-wider-networks-are-not-really-that-wide-1912.04783</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frivolous-units-wider-networks-are-not-really-that-wide-1912.04783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frivolous-units-wider-networks-are-not-really-that-wide-1912.04783"/></url>
<url><loc>https://scifaro.com/en/abs/training-provably-robust-models-by-polyhedral-envelope-regularization-1912.04792</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-provably-robust-models-by-polyhedral-envelope-regularization-1912.04792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-provably-robust-models-by-polyhedral-envelope-regularization-1912.04792"/></url>
<url><loc>https://scifaro.com/en/abs/libmolgrid-gpu-accelerated-molecular-gridding-for-deep-learning-applications-1912.04822</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/libmolgrid-gpu-accelerated-molecular-gridding-for-deep-learning-applications-1912.04822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/libmolgrid-gpu-accelerated-molecular-gridding-for-deep-learning-applications-1912.04822"/></url>
<url><loc>https://scifaro.com/en/abs/integration-of-neural-network-based-symbolic-regression-in-deep-learning-for-scientific-discovery-1912.04825</loc><lastmod>2022-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integration-of-neural-network-based-symbolic-regression-in-deep-learning-for-scientific-discovery-1912.04825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integration-of-neural-network-based-symbolic-regression-in-deep-learning-for-scientific-discovery-1912.04825"/></url>
<url><loc>https://scifaro.com/en/abs/feature-relevance-determination-for-ordinal-regression-in-the-context-of-feature-redundancies-and-privileged-information-1912.04832</loc><lastmod>2020-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-relevance-determination-for-ordinal-regression-in-the-context-of-feature-redundancies-and-privileged-information-1912.04832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-relevance-determination-for-ordinal-regression-in-the-context-of-feature-redundancies-and-privileged-information-1912.04832"/></url>
<url><loc>https://scifaro.com/en/abs/magnitude-and-uncertainty-pruning-criterion-for-neural-networks-1912.04845</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/magnitude-and-uncertainty-pruning-criterion-for-neural-networks-1912.04845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/magnitude-and-uncertainty-pruning-criterion-for-neural-networks-1912.04845"/></url>
<url><loc>https://scifaro.com/en/abs/robust-training-and-initialization-of-deep-neural-networks-an-adaptive-basis-viewpoint-1912.04862</loc><lastmod>2019-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-training-and-initialization-of-deep-neural-networks-an-adaptive-basis-viewpoint-1912.04862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-training-and-initialization-of-deep-neural-networks-an-adaptive-basis-viewpoint-1912.04862"/></url>
<url><loc>https://scifaro.com/en/abs/deep-symbolic-regression-recovering-mathematical-expressions-from-data-via-risk-seeking-policy-gradients-1912.04871</loc><lastmod>2022-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-symbolic-regression-recovering-mathematical-expressions-from-data-via-risk-seeking-policy-gradients-1912.04871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-symbolic-regression-recovering-mathematical-expressions-from-data-via-risk-seeking-policy-gradients-1912.04871"/></url>
<url><loc>https://scifaro.com/en/abs/before-we-can-find-a-model-we-must-forget-about-perfection-1912.04964</loc><lastmod>2022-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/before-we-can-find-a-model-we-must-forget-about-perfection-1912.04964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/before-we-can-find-a-model-we-must-forget-about-perfection-1912.04964"/></url>
<url><loc>https://scifaro.com/en/abs/a-two-stage-approach-to-few-shot-learning-for-image-recognition-1912.04973</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-two-stage-approach-to-few-shot-learning-for-image-recognition-1912.04973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-two-stage-approach-to-few-shot-learning-for-image-recognition-1912.04973"/></url>
<url><loc>https://scifaro.com/en/abs/advances-and-open-problems-in-federated-learning-1912.04977</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advances-and-open-problems-in-federated-learning-1912.04977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advances-and-open-problems-in-federated-learning-1912.04977"/></url>
<url><loc>https://scifaro.com/en/abs/almost-uniform-sampling-from-neural-networks-1912.04994</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/almost-uniform-sampling-from-neural-networks-1912.04994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/almost-uniform-sampling-from-neural-networks-1912.04994"/></url>
<url><loc>https://scifaro.com/en/abs/imitation-learning-via-off-policy-distribution-matching-1912.05032</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitation-learning-via-off-policy-distribution-matching-1912.05032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitation-learning-via-off-policy-distribution-matching-1912.05032"/></url>
<url><loc>https://scifaro.com/en/abs/event-outcome-prediction-using-sentiment-analysis-and-crowd-wisdom-in-microblog-feeds-1912.05066</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/event-outcome-prediction-using-sentiment-analysis-and-crowd-wisdom-in-microblog-feeds-1912.05066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/event-outcome-prediction-using-sentiment-analysis-and-crowd-wisdom-in-microblog-feeds-1912.05066"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-generative-models-for-compositional-representation-learning-1912.05075</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-generative-models-for-compositional-representation-learning-1912.05075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-generative-models-for-compositional-representation-learning-1912.05075"/></url>
<url><loc>https://scifaro.com/en/abs/an-improving-framework-of-regularization-for-network-compression-1912.05078</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improving-framework-of-regularization-for-network-compression-1912.05078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improving-framework-of-regularization-for-network-compression-1912.05078"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-as-geometric-chaotic-maps-1912.05081</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-as-geometric-chaotic-maps-1912.05081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-as-geometric-chaotic-maps-1912.05081"/></url>
<url><loc>https://scifaro.com/en/abs/explainability-fact-sheets-a-framework-for-systematic-assessment-of-explainable-approaches-1912.05100</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainability-fact-sheets-a-framework-for-systematic-assessment-of-explainable-approaches-1912.05100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainability-fact-sheets-a-framework-for-systematic-assessment-of-explainable-approaches-1912.05100"/></url>
<url><loc>https://scifaro.com/en/abs/entropy-regularization-with-discounted-future-state-distribution-in-policy-gradient-methods-1912.05104</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropy-regularization-with-discounted-future-state-distribution-in-policy-gradient-methods-1912.05104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropy-regularization-with-discounted-future-state-distribution-in-policy-gradient-methods-1912.05104"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-robust-off-policy-actor-critic-algorithms-for-reinforcement-learning-1912.05109</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-robust-off-policy-actor-critic-algorithms-for-reinforcement-learning-1912.05109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-robust-off-policy-actor-critic-algorithms-for-reinforcement-learning-1912.05109"/></url>
<url><loc>https://scifaro.com/en/abs/towards-better-forecasting-by-fusing-near-and-distant-future-visions-1912.05122</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-better-forecasting-by-fusing-near-and-distant-future-visions-1912.05122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-better-forecasting-by-fusing-near-and-distant-future-visions-1912.05122"/></url>
<url><loc>https://scifaro.com/en/abs/marginalized-state-distribution-entropy-regularization-in-policy-optimization-1912.05128</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marginalized-state-distribution-entropy-regularization-in-policy-optimization-1912.05128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marginalized-state-distribution-entropy-regularization-in-policy-optimization-1912.05128"/></url>
<url><loc>https://scifaro.com/en/abs/is-feature-diversity-necessary-in-neural-network-initialization-1912.05137</loc><lastmod>2020-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-feature-diversity-necessary-in-neural-network-initialization-1912.05137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-feature-diversity-necessary-in-neural-network-initialization-1912.05137"/></url>
<url><loc>https://scifaro.com/en/abs/image-classification-with-deep-learning-in-the-presence-of-noisy-labels-a-survey-1912.05170</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/image-classification-with-deep-learning-in-the-presence-of-noisy-labels-a-survey-1912.05170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/image-classification-with-deep-learning-in-the-presence-of-noisy-labels-a-survey-1912.05170"/></url>
<url><loc>https://scifaro.com/en/abs/variational-learning-with-disentanglement-pytorch-1912.05184</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-learning-with-disentanglement-pytorch-1912.05184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-learning-with-disentanglement-pytorch-1912.05184"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-transform-learning-1912.05198</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-transform-learning-1912.05198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-transform-learning-1912.05198"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-mislabeled-instances-in-classification-datasets-1912.05283</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-mislabeled-instances-in-classification-datasets-1912.05283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-mislabeled-instances-in-classification-datasets-1912.05283"/></url>
<url><loc>https://scifaro.com/en/abs/traffic-map-prediction-using-unet-based-deep-convolutional-neural-network-1912.05288</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/traffic-map-prediction-using-unet-based-deep-convolutional-neural-network-1912.05288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/traffic-map-prediction-using-unet-based-deep-convolutional-neural-network-1912.05288"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-transfer-learning-via-bert-neuron-selection-1912.05308</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-transfer-learning-via-bert-neuron-selection-1912.05308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-transfer-learning-via-bert-neuron-selection-1912.05308"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-and-robust-reinforcement-learning-with-uncertainty-based-value-expansion-1912.05328</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-and-robust-reinforcement-learning-with-uncertainty-based-value-expansion-1912.05328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-and-robust-reinforcement-learning-with-uncertainty-based-value-expansion-1912.05328"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-and-correcting-adversarial-images-using-image-processing-operations-1912.05391</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-and-correcting-adversarial-images-using-image-processing-operations-1912.05391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-and-correcting-adversarial-images-using-image-processing-operations-1912.05391"/></url>
<url><loc>https://scifaro.com/en/abs/just-add-functions-a-neural-symbolic-language-model-1912.05421</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/just-add-functions-a-neural-symbolic-language-model-1912.05421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/just-add-functions-a-neural-symbolic-language-model-1912.05421"/></url>
<url><loc>https://scifaro.com/en/abs/solving-the-reaction-diffusion-equation-based-on-analytical-methods-and-deep-learning-algorithm-the-case-study-of-sulfate-attack-to-concrete-1912.05452</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-the-reaction-diffusion-equation-based-on-analytical-methods-and-deep-learning-algorithm-the-case-study-of-sulfate-attack-to-concrete-1912.05452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-the-reaction-diffusion-equation-based-on-analytical-methods-and-deep-learning-algorithm-the-case-study-of-sulfate-attack-to-concrete-1912.05452"/></url>
<url><loc>https://scifaro.com/en/abs/value-of-information-based-arbitration-between-model-based-and-model-free-control-1912.05453</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/value-of-information-based-arbitration-between-model-based-and-model-free-control-1912.05453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/value-of-information-based-arbitration-between-model-based-and-model-free-control-1912.05453"/></url>
<url><loc>https://scifaro.com/en/abs/graph-markov-network-for-traffic-forecasting-with-missing-data-1912.05457</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-markov-network-for-traffic-forecasting-with-missing-data-1912.05457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-markov-network-for-traffic-forecasting-with-missing-data-1912.05457"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-feature-selection-based-on-adaptive-similarity-learning-and-subspace-clustering-1912.05458</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-feature-selection-based-on-adaptive-similarity-learning-and-subspace-clustering-1912.05458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-feature-selection-based-on-adaptive-similarity-learning-and-subspace-clustering-1912.05458"/></url>
<url><loc>https://scifaro.com/en/abs/deep-relevance-regularization-interpretable-and-robust-tumor-typing-of-imaging-mass-spectrometry-data-1912.05459</loc><lastmod>2019-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-relevance-regularization-interpretable-and-robust-tumor-typing-of-imaging-mass-spectrometry-data-1912.05459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-relevance-regularization-interpretable-and-robust-tumor-typing-of-imaging-mass-spectrometry-data-1912.05459"/></url>
<url><loc>https://scifaro.com/en/abs/smirl-surprise-minimizing-reinforcement-learning-in-unstable-environments-1912.05510</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smirl-surprise-minimizing-reinforcement-learning-in-unstable-environments-1912.05510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smirl-surprise-minimizing-reinforcement-learning-in-unstable-environments-1912.05510"/></url>
<url><loc>https://scifaro.com/en/abs/deep-one-bit-compressive-autoencoding-1912.05539</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-one-bit-compressive-autoencoding-1912.05539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-one-bit-compressive-autoencoding-1912.05539"/></url>
<url><loc>https://scifaro.com/en/abs/representation-of-federated-learning-via-worst-case-robust-optimization-theory-1912.05571</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-of-federated-learning-via-worst-case-robust-optimization-theory-1912.05571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-of-federated-learning-via-worst-case-robust-optimization-theory-1912.05571"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-kernel-methods-and-applications-to-lifelong-robot-learning-1912.05629</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-kernel-methods-and-applications-to-lifelong-robot-learning-1912.05629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-kernel-methods-and-applications-to-lifelong-robot-learning-1912.05629"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-variational-autoencoders-for-unsupervised-out-of-distribution-detection-1912.05651</loc><lastmod>2020-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-variational-autoencoders-for-unsupervised-out-of-distribution-detection-1912.05651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-variational-autoencoders-for-unsupervised-out-of-distribution-detection-1912.05651"/></url>
<url><loc>https://scifaro.com/en/abs/managing-machine-learning-workflow-components-1912.05665</loc><lastmod>2025-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/managing-machine-learning-workflow-components-1912.05665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/managing-machine-learning-workflow-components-1912.05665"/></url>
<url><loc>https://scifaro.com/en/abs/linear-mode-connectivity-and-the-lottery-ticket-hypothesis-1912.05671</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-mode-connectivity-and-the-lottery-ticket-hypothesis-1912.05671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-mode-connectivity-and-the-lottery-ticket-hypothesis-1912.05671"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-hyperparameter-optimization-with-botorch-gpytorch-and-ax-1912.05686</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-hyperparameter-optimization-with-botorch-gpytorch-and-ax-1912.05686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-hyperparameter-optimization-with-botorch-gpytorch-and-ax-1912.05686"/></url>
<url><loc>https://scifaro.com/en/abs/refined-representation-of-features-as-images-with-neighborhood-dependencies-a-novel-feature-representation-for-convolutional-neural-networks-1912.05687</loc><lastmod>2020-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/refined-representation-of-features-as-images-with-neighborhood-dependencies-a-novel-feature-representation-for-convolutional-neural-networks-1912.05687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/refined-representation-of-features-as-images-with-neighborhood-dependencies-a-novel-feature-representation-for-convolutional-neural-networks-1912.05687"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-completion-for-weakly-dependent-data-on-graph-for-metro-passenger-flow-prediction-1912.05693</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-completion-for-weakly-dependent-data-on-graph-for-metro-passenger-flow-prediction-1912.05693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-completion-for-weakly-dependent-data-on-graph-for-metro-passenger-flow-prediction-1912.05693"/></url>
<url><loc>https://scifaro.com/en/abs/what-it-thinks-is-important-is-important-robustness-transfers-through-input-gradients-1912.05699</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-it-thinks-is-important-is-important-robustness-transfers-through-input-gradients-1912.05699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-it-thinks-is-important-is-important-robustness-transfers-through-input-gradients-1912.05699"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-relationship-between-multitask-neural-networks-and-multitask-gaussian-processes-1912.05723</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-relationship-between-multitask-neural-networks-and-multitask-gaussian-processes-1912.05723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-relationship-between-multitask-neural-networks-and-multitask-gaussian-processes-1912.05723"/></url>
<url><loc>https://scifaro.com/en/abs/exploratory-not-explanatory-counterfactual-analysis-of-saliency-maps-for-deep-reinforcement-learning-1912.05743</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploratory-not-explanatory-counterfactual-analysis-of-saliency-maps-for-deep-reinforcement-learning-1912.05743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploratory-not-explanatory-counterfactual-analysis-of-saliency-maps-for-deep-reinforcement-learning-1912.05743"/></url>
<url><loc>https://scifaro.com/en/abs/the-use-of-deep-learning-for-symbolic-integration-a-review-of-lample-and-charton-2019-1912.05752</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-use-of-deep-learning-for-symbolic-integration-a-review-of-lample-and-charton-2019-1912.05752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-use-of-deep-learning-for-symbolic-integration-a-review-of-lample-and-charton-2019-1912.05752"/></url>
<url><loc>https://scifaro.com/en/abs/towards-expressive-priors-for-bayesian-neural-networks-poisson-process-radial-basis-function-networks-1912.05779</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-expressive-priors-for-bayesian-neural-networks-poisson-process-radial-basis-function-networks-1912.05779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-expressive-priors-for-bayesian-neural-networks-poisson-process-radial-basis-function-networks-1912.05779"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-layout-generation-with-applications-in-machine-learning-engine-evaluation-1912.05796</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-layout-generation-with-applications-in-machine-learning-engine-evaluation-1912.05796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-layout-generation-with-applications-in-machine-learning-engine-evaluation-1912.05796"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-explorative-sampling-considering-the-generative-boundaries-of-deep-generative-neural-networks-1912.05827</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-explorative-sampling-considering-the-generative-boundaries-of-deep-generative-neural-networks-1912.05827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-explorative-sampling-considering-the-generative-boundaries-of-deep-generative-neural-networks-1912.05827"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-exploration-in-policy-optimization-1912.05830</loc><lastmod>2024-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-exploration-in-policy-optimization-1912.05830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-exploration-in-policy-optimization-1912.05830"/></url>
<url><loc>https://scifaro.com/en/abs/speech-driven-facial-animation-using-polynomial-fusion-of-features-1912.05833</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speech-driven-facial-animation-using-polynomial-fusion-of-features-1912.05833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speech-driven-facial-animation-using-polynomial-fusion-of-features-1912.05833"/></url>
<url><loc>https://scifaro.com/en/abs/enabling-machine-learning-across-heterogeneous-sensor-networks-with-graph-autoencoders-1912.05879</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enabling-machine-learning-across-heterogeneous-sensor-networks-with-graph-autoencoders-1912.05879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enabling-machine-learning-across-heterogeneous-sensor-networks-with-graph-autoencoders-1912.05879"/></url>
<url><loc>https://scifaro.com/en/abs/core-automatic-molecule-optimization-using-copy-refine-strategy-1912.05910</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/core-automatic-molecule-optimization-using-copy-refine-strategy-1912.05910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/core-automatic-molecule-optimization-using-copy-refine-strategy-1912.05910"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-networks-rnns-a-gentle-introduction-and-overview-1912.05911</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-networks-rnns-a-gentle-introduction-and-overview-1912.05911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-networks-rnns-a-gentle-introduction-and-overview-1912.05911"/></url>
<url><loc>https://scifaro.com/en/abs/performance-analysis-of-deep-autoencoder-and-nca-dimensionality-reduction-techniques-with-knn-enn-and-svm-classifiers-1912.05912</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-analysis-of-deep-autoencoder-and-nca-dimensionality-reduction-techniques-with-knn-enn-and-svm-classifiers-1912.05912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-analysis-of-deep-autoencoder-and-nca-dimensionality-reduction-techniques-with-knn-enn-and-svm-classifiers-1912.05912"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-classification-lessons-learned-in-the-literal-field-while-studying-chicken-behavior-1912.05913</loc><lastmod>2020-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-classification-lessons-learned-in-the-literal-field-while-studying-chicken-behavior-1912.05913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-classification-lessons-learned-in-the-literal-field-while-studying-chicken-behavior-1912.05913"/></url>
<url><loc>https://scifaro.com/en/abs/some-observations-concerning-off-training-set-ots-error-1912.05915</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-observations-concerning-off-training-set-ots-error-1912.05915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-observations-concerning-off-training-set-ots-error-1912.05915"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-estimation-of-band-gap-with-the-reading-periodic-table-method-and-periodic-convolution-layer-1912.05916</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-estimation-of-band-gap-with-the-reading-periodic-table-method-and-periodic-convolution-layer-1912.05916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-estimation-of-band-gap-with-the-reading-periodic-table-method-and-periodic-convolution-layer-1912.05916"/></url>
<url><loc>https://scifaro.com/en/abs/lion-algorithm-optimized-long-short-term-memory-network-for-groundwater-level-forecasting-in-udupi-district-india-1912.05934</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lion-algorithm-optimized-long-short-term-memory-network-for-groundwater-level-forecasting-in-udupi-district-india-1912.05934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lion-algorithm-optimized-long-short-term-memory-network-for-groundwater-level-forecasting-in-udupi-district-india-1912.05934"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-robust-classifier-an-mdl-based-method-for-generating-adversarial-examples-1912.05945</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-robust-classifier-an-mdl-based-method-for-generating-adversarial-examples-1912.05945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-robust-classifier-an-mdl-based-method-for-generating-adversarial-examples-1912.05945"/></url>
<url><loc>https://scifaro.com/en/abs/tracing-the-propagation-path-a-flow-perspective-of-representation-learning-on-graphs-1912.05977</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tracing-the-propagation-path-a-flow-perspective-of-representation-learning-on-graphs-1912.05977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tracing-the-propagation-path-a-flow-perspective-of-representation-learning-on-graphs-1912.05977"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-per-example-gradient-computations-in-convolutional-neural-networks-1912.06015</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-per-example-gradient-computations-in-convolutional-neural-networks-1912.06015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-per-example-gradient-computations-in-convolutional-neural-networks-1912.06015"/></url>
<url><loc>https://scifaro.com/en/abs/coloring-graph-neural-networks-for-node-disambiguation-1912.06058</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coloring-graph-neural-networks-for-node-disambiguation-1912.06058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coloring-graph-neural-networks-for-node-disambiguation-1912.06058"/></url>
<url><loc>https://scifaro.com/en/abs/grid-search-random-search-genetic-algorithm-a-big-comparison-for-nas-1912.06059</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grid-search-random-search-genetic-algorithm-a-big-comparison-for-nas-1912.06059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grid-search-random-search-genetic-algorithm-a-big-comparison-for-nas-1912.06059"/></url>
<url><loc>https://scifaro.com/en/abs/sublinear-time-numerical-linear-algebra-for-structured-matrices-1912.06060</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sublinear-time-numerical-linear-algebra-for-structured-matrices-1912.06060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sublinear-time-numerical-linear-algebra-for-structured-matrices-1912.06060"/></url>
<url><loc>https://scifaro.com/en/abs/game-design-for-eliciting-distinguishable-behavior-1912.06074</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/game-design-for-eliciting-distinguishable-behavior-1912.06074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/game-design-for-eliciting-distinguishable-behavior-1912.06074"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-reach-goals-via-iterated-supervised-learning-1912.06088</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-reach-goals-via-iterated-supervised-learning-1912.06088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-reach-goals-via-iterated-supervised-learning-1912.06088"/></url>
<url><loc>https://scifaro.com/en/abs/the-playstation-reinforcement-learning-environment-psxle-1912.06101</loc><lastmod>2019-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-playstation-reinforcement-learning-environment-psxle-1912.06101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-playstation-reinforcement-learning-environment-psxle-1912.06101"/></url>
<url><loc>https://scifaro.com/en/abs/sublinear-optimal-policy-value-estimation-in-contextual-bandits-1912.06111</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sublinear-optimal-policy-value-estimation-in-contextual-bandits-1912.06111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sublinear-optimal-policy-value-estimation-in-contextual-bandits-1912.06111"/></url>
<url><loc>https://scifaro.com/en/abs/calibrated-model-based-evidential-clustering-using-bootstrapping-1912.06137</loc><lastmod>2020-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrated-model-based-evidential-clustering-using-bootstrapping-1912.06137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrated-model-based-evidential-clustering-using-bootstrapping-1912.06137"/></url>
<url><loc>https://scifaro.com/en/abs/training-without-training-data-improving-the-generalizability-of-automated-medical-abbreviation-disambiguation-1912.06174</loc><lastmod>2019-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-without-training-data-improving-the-generalizability-of-automated-medical-abbreviation-disambiguation-1912.06174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-without-training-data-improving-the-generalizability-of-automated-medical-abbreviation-disambiguation-1912.06174"/></url>
<url><loc>https://scifaro.com/en/abs/double-descent-in-the-condition-number-1912.06190</loc><lastmod>2020-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-descent-in-the-condition-number-1912.06190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-descent-in-the-condition-number-1912.06190"/></url>
<url><loc>https://scifaro.com/en/abs/on-metrics-to-assess-the-transferability-of-machine-learning-models-in-non-intrusive-load-monitoring-1912.06200</loc><lastmod>2019-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-metrics-to-assess-the-transferability-of-machine-learning-models-in-non-intrusive-load-monitoring-1912.06200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-metrics-to-assess-the-transferability-of-machine-learning-models-in-non-intrusive-load-monitoring-1912.06200"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-financial-feature-construction-1912.06236</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-financial-feature-construction-1912.06236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-financial-feature-construction-1912.06236"/></url>
<url><loc>https://scifaro.com/en/abs/general-information-bottleneck-objectives-and-their-applications-to-machine-learning-1912.06248</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-information-bottleneck-objectives-and-their-applications-to-machine-learning-1912.06248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-information-bottleneck-objectives-and-their-applications-to-machine-learning-1912.06248"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-initializations-for-image-segmentation-1912.06290</loc><lastmod>2020-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-initializations-for-image-segmentation-1912.06290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-initializations-for-image-segmentation-1912.06290"/></url>
<url><loc>https://scifaro.com/en/abs/more-efficient-off-policy-evaluation-through-regularized-targeted-learning-1912.06292</loc><lastmod>2019-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/more-efficient-off-policy-evaluation-through-regularized-targeted-learning-1912.06292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/more-efficient-off-policy-evaluation-through-regularized-targeted-learning-1912.06292"/></url>
<url><loc>https://scifaro.com/en/abs/recruitment-imitation-mechanism-for-evolutionary-reinforcement-learning-1912.06310</loc><lastmod>2019-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recruitment-imitation-mechanism-for-evolutionary-reinforcement-learning-1912.06310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recruitment-imitation-mechanism-for-evolutionary-reinforcement-learning-1912.06310"/></url>
<url><loc>https://scifaro.com/en/abs/seizure-prediction-using-bidirectional-lstm-1912.06385</loc><lastmod>2019-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seizure-prediction-using-bidirectional-lstm-1912.06385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seizure-prediction-using-bidirectional-lstm-1912.06385"/></url>
<url><loc>https://scifaro.com/en/abs/potential-adversarial-samples-for-white-box-attacks-1912.06409</loc><lastmod>2019-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/potential-adversarial-samples-for-white-box-attacks-1912.06409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/potential-adversarial-samples-for-white-box-attacks-1912.06409"/></url>
<url><loc>https://scifaro.com/en/abs/deep-self-representative-concept-factorization-network-for-representation-learning-1912.06444</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-self-representative-concept-factorization-network-for-representation-learning-1912.06444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-self-representative-concept-factorization-network-for-representation-learning-1912.06444"/></url>
<url><loc>https://scifaro.com/en/abs/a-distributed-quasi-newton-algorithm-for-primal-and-dual-regularized-empirical-risk-minimization-1912.06508</loc><lastmod>2019-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributed-quasi-newton-algorithm-for-primal-and-dual-regularized-empirical-risk-minimization-1912.06508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributed-quasi-newton-algorithm-for-primal-and-dual-regularized-empirical-risk-minimization-1912.06508"/></url>
<url><loc>https://scifaro.com/en/abs/active-emulation-of-computer-codes-with-gaussian-processes-application-to-remote-sensing-1912.06552</loc><lastmod>2019-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-emulation-of-computer-codes-with-gaussian-processes-application-to-remote-sensing-1912.06552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-emulation-of-computer-codes-with-gaussian-processes-application-to-remote-sensing-1912.06552"/></url>
<url><loc>https://scifaro.com/en/abs/waldorf-wasteless-language-model-distillation-on-reading-comprehension-1912.06638</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/waldorf-wasteless-language-model-distillation-on-reading-comprehension-1912.06638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/waldorf-wasteless-language-model-distillation-on-reading-comprehension-1912.06638"/></url>
<url><loc>https://scifaro.com/en/abs/dota-2-with-large-scale-deep-reinforcement-learning-1912.06680</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dota-2-with-large-scale-deep-reinforcement-learning-1912.06680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dota-2-with-large-scale-deep-reinforcement-learning-1912.06680"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-and-generic-short-term-anticipation-of-human-body-motions-1912.06688</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-and-generic-short-term-anticipation-of-human-body-motions-1912.06688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-and-generic-short-term-anticipation-of-human-body-motions-1912.06688"/></url>
<url><loc>https://scifaro.com/en/abs/autoaiviz-opening-the-blackbox-of-automated-artificial-intelligence-with-conditional-parallel-coordinates-1912.06723</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoaiviz-opening-the-blackbox-of-automated-artificial-intelligence-with-conditional-parallel-coordinates-1912.06723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoaiviz-opening-the-blackbox-of-automated-artificial-intelligence-with-conditional-parallel-coordinates-1912.06723"/></url>
<url><loc>https://scifaro.com/en/abs/private-federated-learning-with-domain-adaptation-1912.06733</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-federated-learning-with-domain-adaptation-1912.06733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-federated-learning-with-domain-adaptation-1912.06733"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-linear-regression-on-deep-representations-1912.06760</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-linear-regression-on-deep-representations-1912.06760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-linear-regression-on-deep-representations-1912.06760"/></url>
<url><loc>https://scifaro.com/en/abs/targeted-transfer-learning-to-improve-performance-in-small-medical-physics-datasets-1912.06761</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/targeted-transfer-learning-to-improve-performance-in-small-medical-physics-datasets-1912.06761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/targeted-transfer-learning-to-improve-performance-in-small-medical-physics-datasets-1912.06761"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-early-fundraising-performance-of-innovations-via-graph-based-market-environment-model-1912.06767</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-early-fundraising-performance-of-innovations-via-graph-based-market-environment-model-1912.06767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-early-fundraising-performance-of-innovations-via-graph-based-market-environment-model-1912.06767"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-precompute-with-recurrent-neural-networks-1912.06779</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-precompute-with-recurrent-neural-networks-1912.06779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-precompute-with-recurrent-neural-networks-1912.06779"/></url>
<url><loc>https://scifaro.com/en/abs/cross-batch-memory-for-embedding-learning-1912.06798</loc><lastmod>2020-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-batch-memory-for-embedding-learning-1912.06798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-batch-memory-for-embedding-learning-1912.06798"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-pac-bayesian-posteriors-for-stochastic-classifiers-and-their-use-for-choice-of-svm-regularization-parameter-1912.06803</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-pac-bayesian-posteriors-for-stochastic-classifiers-and-their-use-for-choice-of-svm-regularization-parameter-1912.06803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-pac-bayesian-posteriors-for-stochastic-classifiers-and-their-use-for-choice-of-svm-regularization-parameter-1912.06803"/></url>
<url><loc>https://scifaro.com/en/abs/regularizing-deep-multi-task-networks-using-orthogonal-gradients-1912.06844</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizing-deep-multi-task-networks-using-orthogonal-gradients-1912.06844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizing-deep-multi-task-networks-using-orthogonal-gradients-1912.06844"/></url>
<url><loc>https://scifaro.com/en/abs/natural-actor-critic-converges-globally-for-hierarchical-linear-quadratic-regulator-1912.06875</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-actor-critic-converges-globally-for-hierarchical-linear-quadratic-regulator-1912.06875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-actor-critic-converges-globally-for-hierarchical-linear-quadratic-regulator-1912.06875"/></url>
<url><loc>https://scifaro.com/en/abs/attending-form-and-context-to-generate-specialized-out-of-vocabularywords-representations-1912.06876</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attending-form-and-context-to-generate-specialized-out-of-vocabularywords-representations-1912.06876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attending-form-and-context-to-generate-specialized-out-of-vocabularywords-representations-1912.06876"/></url>
<url><loc>https://scifaro.com/en/abs/sensor-fusion-using-backward-shortcut-connections-for-sleep-apnea-detection-in-multi-modal-data-1912.06879</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensor-fusion-using-backward-shortcut-connections-for-sleep-apnea-detection-in-multi-modal-data-1912.06879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensor-fusion-using-backward-shortcut-connections-for-sleep-apnea-detection-in-multi-modal-data-1912.06879"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-apparent-conflict-between-individual-and-group-fairness-1912.06883</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-apparent-conflict-between-individual-and-group-fairness-1912.06883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-apparent-conflict-between-individual-and-group-fairness-1912.06883"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-behaviour-for-learning-progress-1912.06910</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-behaviour-for-learning-progress-1912.06910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-behaviour-for-learning-progress-1912.06910"/></url>
<url><loc>https://scifaro.com/en/abs/breast-cancer-diagnosis-by-higher-order-probabilistic-perceptrons-1912.06969</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breast-cancer-diagnosis-by-higher-order-probabilistic-perceptrons-1912.06969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breast-cancer-diagnosis-by-higher-order-probabilistic-perceptrons-1912.06969"/></url>
<url><loc>https://scifaro.com/en/abs/polynomial-matrix-completion-for-missing-data-imputation-and-transductive-learning-1912.06989</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polynomial-matrix-completion-for-missing-data-imputation-and-transductive-learning-1912.06989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polynomial-matrix-completion-for-missing-data-imputation-and-transductive-learning-1912.06989"/></url>
<url><loc>https://scifaro.com/en/abs/disentanglement-based-active-learning-1912.07018</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentanglement-based-active-learning-1912.07018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentanglement-based-active-learning-1912.07018"/></url>
<url><loc>https://scifaro.com/en/abs/mixability-of-integral-losses-a-key-to-efficient-online-aggregation-of-functional-and-probabilistic-forecasts-1912.07048</loc><lastmod>2025-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixability-of-integral-losses-a-key-to-efficient-online-aggregation-of-functional-and-probabilistic-forecasts-1912.07048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixability-of-integral-losses-a-key-to-efficient-online-aggregation-of-functional-and-probabilistic-forecasts-1912.07048"/></url>
<url><loc>https://scifaro.com/en/abs/sepsis-world-model-a-mimic-based-openai-gym-world-model-simulator-for-sepsis-treatment-1912.07127</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sepsis-world-model-a-mimic-based-openai-gym-world-model-simulator-for-sepsis-treatment-1912.07127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sepsis-world-model-a-mimic-based-openai-gym-world-model-simulator-for-sepsis-treatment-1912.07127"/></url>
<url><loc>https://scifaro.com/en/abs/pyhessian-neural-networks-through-the-lens-of-the-hessian-1912.07145</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pyhessian-neural-networks-through-the-lens-of-the-hessian-1912.07145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pyhessian-neural-networks-through-the-lens-of-the-hessian-1912.07145"/></url>
<url><loc>https://scifaro.com/en/abs/damagenet-a-universal-adversarial-dataset-1912.07160</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/damagenet-a-universal-adversarial-dataset-1912.07160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/damagenet-a-universal-adversarial-dataset-1912.07160"/></url>
<url><loc>https://scifaro.com/en/abs/latent-complete-row-space-recovery-for-multi-view-subspace-clustering-1912.07248</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-complete-row-space-recovery-for-multi-view-subspace-clustering-1912.07248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-complete-row-space-recovery-for-multi-view-subspace-clustering-1912.07248"/></url>
<url><loc>https://scifaro.com/en/abs/vlsi-mask-optimization-from-shallow-to-deep-learning-1912.07254</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vlsi-mask-optimization-from-shallow-to-deep-learning-1912.07254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vlsi-mask-optimization-from-shallow-to-deep-learning-1912.07254"/></url>
<url><loc>https://scifaro.com/en/abs/multi-stream-data-analytics-for-enhanced-performance-prediction-in-fantasy-football-1912.07441</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-stream-data-analytics-for-enhanced-performance-prediction-in-fantasy-football-1912.07441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-stream-data-analytics-for-enhanced-performance-prediction-in-fantasy-football-1912.07441"/></url>
<url><loc>https://scifaro.com/en/abs/varnet-variational-neural-networks-for-the-solution-of-partial-differential-equations-1912.07443</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/varnet-variational-neural-networks-for-the-solution-of-partial-differential-equations-1912.07443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/varnet-variational-neural-networks-for-the-solution-of-partial-differential-equations-1912.07443"/></url>
<url><loc>https://scifaro.com/en/abs/on-manifold-adversarial-data-augmentation-improves-uncertainty-calibration-1912.07458</loc><lastmod>2021-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-manifold-adversarial-data-augmentation-improves-uncertainty-calibration-1912.07458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-manifold-adversarial-data-augmentation-improves-uncertainty-calibration-1912.07458"/></url>
<url><loc>https://scifaro.com/en/abs/realization-of-spatial-sparseness-by-deep-relu-nets-with-massive-data-1912.07464</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/realization-of-spatial-sparseness-by-deep-relu-nets-with-massive-data-1912.07464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/realization-of-spatial-sparseness-by-deep-relu-nets-with-massive-data-1912.07464"/></url>
<url><loc>https://scifaro.com/en/abs/planning-with-abstract-learned-models-while-learning-transferable-subtasks-1912.07544</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/planning-with-abstract-learned-models-while-learning-transferable-subtasks-1912.07544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/planning-with-abstract-learned-models-while-learning-transferable-subtasks-1912.07544"/></url>
<url><loc>https://scifaro.com/en/abs/self-play-learning-without-a-reward-metric-1912.07557</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-play-learning-without-a-reward-metric-1912.07557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-play-learning-without-a-reward-metric-1912.07557"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-neural-network-s-loss-surface-contains-every-low-dimensional-pattern-1912.07559</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-neural-network-s-loss-surface-contains-every-low-dimensional-pattern-1912.07559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-neural-network-s-loss-surface-contains-every-low-dimensional-pattern-1912.07559"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-a-provably-adversarially-robust-classifier-from-a-high-accuracy-one-1912.07561</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-a-provably-adversarially-robust-classifier-from-a-high-accuracy-one-1912.07561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-a-provably-adversarially-robust-classifier-from-a-high-accuracy-one-1912.07561"/></url>
<url><loc>https://scifaro.com/en/abs/network-of-evolvable-neural-units-evolving-to-learn-at-a-synaptic-level-1912.07589</loc><lastmod>2019-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-of-evolvable-neural-units-evolving-to-learn-at-a-synaptic-level-1912.07589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-of-evolvable-neural-units-evolving-to-learn-at-a-synaptic-level-1912.07589"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-cardiologist-level-myocardial-infarction-detection-in-electrocardiograms-1912.07618</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-cardiologist-level-myocardial-infarction-detection-in-electrocardiograms-1912.07618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-cardiologist-level-myocardial-infarction-detection-in-electrocardiograms-1912.07618"/></url>
<url><loc>https://scifaro.com/en/abs/unas-differentiable-architecture-search-meets-reinforcement-learning-1912.07651</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unas-differentiable-architecture-search-meets-reinforcement-learning-1912.07651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unas-differentiable-architecture-search-meets-reinforcement-learning-1912.07651"/></url>
<url><loc>https://scifaro.com/en/abs/it-s-easy-to-fool-yourself-case-studies-on-identifying-bias-and-confounding-in-bio-medical-datasets-1912.07661</loc><lastmod>2020-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/it-s-easy-to-fool-yourself-case-studies-on-identifying-bias-and-confounding-in-bio-medical-datasets-1912.07661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/it-s-easy-to-fool-yourself-case-studies-on-identifying-bias-and-confounding-in-bio-medical-datasets-1912.07661"/></url>
<url><loc>https://scifaro.com/en/abs/graph-input-representations-for-machine-learning-applications-in-urban-network-analysis-1912.07662</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-input-representations-for-machine-learning-applications-in-urban-network-analysis-1912.07662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-input-representations-for-machine-learning-applications-in-urban-network-analysis-1912.07662"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-temporal-self-attention-network-for-flow-prediction-1912.07663</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-temporal-self-attention-network-for-flow-prediction-1912.07663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-temporal-self-attention-network-for-flow-prediction-1912.07663"/></url>
<url><loc>https://scifaro.com/en/abs/pairwise-feedback-for-data-programming-1912.07685</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pairwise-feedback-for-data-programming-1912.07685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pairwise-feedback-for-data-programming-1912.07685"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-model-extraction-on-graph-neural-networks-1912.07721</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-model-extraction-on-graph-neural-networks-1912.07721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-model-extraction-on-graph-neural-networks-1912.07721"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-unlabeled-data-into-distributionally-robust-learning-1912.07729</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-unlabeled-data-into-distributionally-robust-learning-1912.07729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-unlabeled-data-into-distributionally-robust-learning-1912.07729"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-speech-recognition-using-eeg-and-video-1912.07730</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-speech-recognition-using-eeg-and-video-1912.07730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-speech-recognition-using-eeg-and-video-1912.07730"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-explanation-of-machine-learning-predictions-in-clinical-gait-analysis-1912.07737</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-explanation-of-machine-learning-predictions-in-clinical-gait-analysis-1912.07737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-explanation-of-machine-learning-predictions-in-clinical-gait-analysis-1912.07737"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-approaches-for-improving-animal-audio-classification-1912.07756</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-approaches-for-improving-animal-audio-classification-1912.07756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-approaches-for-improving-animal-audio-classification-1912.07756"/></url>
<url><loc>https://scifaro.com/en/abs/generative-teaching-networks-accelerating-neural-architecture-search-by-learning-to-generate-synthetic-training-data-1912.07768</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-teaching-networks-accelerating-neural-architecture-search-by-learning-to-generate-synthetic-training-data-1912.07768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-teaching-networks-accelerating-neural-architecture-search-by-learning-to-generate-synthetic-training-data-1912.07768"/></url>
<url><loc>https://scifaro.com/en/abs/sgvae-sequential-graph-variational-autoencoder-1912.07800</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgvae-sequential-graph-variational-autoencoder-1912.07800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgvae-sequential-graph-variational-autoencoder-1912.07800"/></url>
<url><loc>https://scifaro.com/en/abs/capsule-attention-for-multimodal-eeg-eog-representation-learning-with-application-to-driver-vigilance-estimation-1912.07812</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capsule-attention-for-multimodal-eeg-eog-representation-learning-with-application-to-driver-vigilance-estimation-1912.07812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capsule-attention-for-multimodal-eeg-eog-representation-learning-with-application-to-driver-vigilance-estimation-1912.07812"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-speech-separation-1912.07814</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-speech-separation-1912.07814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-speech-separation-1912.07814"/></url>
<url><loc>https://scifaro.com/en/abs/deep-iterative-and-adaptive-learning-for-graph-neural-networks-1912.07832</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-iterative-and-adaptive-learning-for-graph-neural-networks-1912.07832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-iterative-and-adaptive-learning-for-graph-neural-networks-1912.07832"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-federated-learning-with-differential-privacy-for-edge-intelligence-1912.07902</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-federated-learning-with-differential-privacy-for-edge-intelligence-1912.07902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-federated-learning-with-differential-privacy-for-edge-intelligence-1912.07902"/></url>
<url><loc>https://scifaro.com/en/abs/a-heterogeneous-graphical-model-to-understand-user-level-sentiments-in-social-media-1912.07911</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-heterogeneous-graphical-model-to-understand-user-level-sentiments-in-social-media-1912.07911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-heterogeneous-graphical-model-to-understand-user-level-sentiments-in-social-media-1912.07911"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-information-leakage-of-updates-to-natural-language-models-1912.07942</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-information-leakage-of-updates-to-natural-language-models-1912.07942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-information-leakage-of-updates-to-natural-language-models-1912.07942"/></url>
<url><loc>https://scifaro.com/en/abs/in-nomine-function-naming-functions-in-stripped-binaries-with-neural-networks-1912.07946</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-nomine-function-naming-functions-in-stripped-binaries-with-neural-networks-1912.07946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-nomine-function-naming-functions-in-stripped-binaries-with-neural-networks-1912.07946"/></url>
<url><loc>https://scifaro.com/en/abs/jointly-trained-image-and-video-generation-using-residual-vectors-1912.07991</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jointly-trained-image-and-video-generation-using-residual-vectors-1912.07991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jointly-trained-image-and-video-generation-using-residual-vectors-1912.07991"/></url>
<url><loc>https://scifaro.com/en/abs/embedded-constrained-feature-construction-for-high-energy-physics-data-classification-1912.07999</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedded-constrained-feature-construction-for-high-energy-physics-data-classification-1912.07999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedded-constrained-feature-construction-for-high-energy-physics-data-classification-1912.07999"/></url>
<url><loc>https://scifaro.com/en/abs/sim-to-real-domain-adaptation-for-high-energy-physics-1912.08001</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sim-to-real-domain-adaptation-for-high-energy-physics-1912.08001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sim-to-real-domain-adaptation-for-high-energy-physics-1912.08001"/></url>
<url><loc>https://scifaro.com/en/abs/the-accuracy-vs-coverage-trade-off-in-patient-facing-diagnosis-models-1912.08041</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-accuracy-vs-coverage-trade-off-in-patient-facing-diagnosis-models-1912.08041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-accuracy-vs-coverage-trade-off-in-patient-facing-diagnosis-models-1912.08041"/></url>
<url><loc>https://scifaro.com/en/abs/fair-contextual-multi-armed-bandits-theory-and-experiments-1912.08055</loc><lastmod>2019-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-contextual-multi-armed-bandits-theory-and-experiments-1912.08055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-contextual-multi-armed-bandits-theory-and-experiments-1912.08055"/></url>
<url><loc>https://scifaro.com/en/abs/hcnaf-hyper-conditioned-neural-autoregressive-flow-and-its-application-for-probabilistic-occupancy-map-forecasting-1912.08111</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hcnaf-hyper-conditioned-neural-autoregressive-flow-and-its-application-for-probabilistic-occupancy-map-forecasting-1912.08111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hcnaf-hyper-conditioned-neural-autoregressive-flow-and-its-application-for-probabilistic-occupancy-map-forecasting-1912.08111"/></url>
<url><loc>https://scifaro.com/en/abs/improved-surrogates-in-inertial-confinement-fusion-with-manifold-and-cycle-consistencies-1912.08113</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-surrogates-in-inertial-confinement-fusion-with-manifold-and-cycle-consistencies-1912.08113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-surrogates-in-inertial-confinement-fusion-with-manifold-and-cycle-consistencies-1912.08113"/></url>
<url><loc>https://scifaro.com/en/abs/direction-concentration-learning-enhancing-congruency-in-machine-learning-1912.08136</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direction-concentration-learning-enhancing-congruency-in-machine-learning-1912.08136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direction-concentration-learning-enhancing-congruency-in-machine-learning-1912.08136"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-fly-global-embeddings-using-random-projections-for-extreme-multi-label-classification-1912.08140</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-fly-global-embeddings-using-random-projections-for-extreme-multi-label-classification-1912.08140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-fly-global-embeddings-using-random-projections-for-extreme-multi-label-classification-1912.08140"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-discriminatory-training-data-1912.08189</loc><lastmod>2026-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-discriminatory-training-data-1912.08189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-discriminatory-training-data-1912.08189"/></url>
<url><loc>https://scifaro.com/en/abs/srlearn-a-python-library-for-gradient-boosted-statistical-relational-models-1912.08198</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/srlearn-a-python-library-for-gradient-boosted-statistical-relational-models-1912.08198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/srlearn-a-python-library-for-gradient-boosted-statistical-relational-models-1912.08198"/></url>
<url><loc>https://scifaro.com/en/abs/cost-sensitive-feature-value-acquisition-using-feature-relevance-1912.08281</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-sensitive-feature-value-acquisition-using-feature-relevance-1912.08281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-sensitive-feature-value-acquisition-using-feature-relevance-1912.08281"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-bias-variance-tradeoff-textbooks-need-an-update-1912.08286</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-bias-variance-tradeoff-textbooks-need-an-update-1912.08286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-bias-variance-tradeoff-textbooks-need-an-update-1912.08286"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-ensemble-learning-in-python-1912.08311</loc><lastmod>2020-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-ensemble-learning-in-python-1912.08311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-ensemble-learning-in-python-1912.08311"/></url>
<url><loc>https://scifaro.com/en/abs/analysing-deep-reinforcement-learning-agents-trained-with-domain-randomisation-1912.08324</loc><lastmod>2022-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysing-deep-reinforcement-learning-agents-trained-with-domain-randomisation-1912.08324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysing-deep-reinforcement-learning-agents-trained-with-domain-randomisation-1912.08324"/></url>
<url><loc>https://scifaro.com/en/abs/learning-under-model-misspecification-applications-to-variational-and-ensemble-methods-1912.08335</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-under-model-misspecification-applications-to-variational-and-ensemble-methods-1912.08335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-under-model-misspecification-applications-to-variational-and-ensemble-methods-1912.08335"/></url>
<url><loc>https://scifaro.com/en/abs/feature-engineering-workflow-for-activity-recognition-from-synchronized-inertial-measurement-units-1912.08394</loc><lastmod>2020-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-engineering-workflow-for-activity-recognition-from-synchronized-inertial-measurement-units-1912.08394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-engineering-workflow-for-activity-recognition-from-synchronized-inertial-measurement-units-1912.08394"/></url>
<url><loc>https://scifaro.com/en/abs/coulgat-an-experiment-on-interpretability-of-graph-attention-networks-1912.08409</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coulgat-an-experiment-on-interpretability-of-graph-attention-networks-1912.08409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coulgat-an-experiment-on-interpretability-of-graph-attention-networks-1912.08409"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-prevent-leakage-privacy-preserving-inference-in-the-mobile-cloud-1912.08421</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-prevent-leakage-privacy-preserving-inference-in-the-mobile-cloud-1912.08421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-prevent-leakage-privacy-preserving-inference-in-the-mobile-cloud-1912.08421"/></url>
<url><loc>https://scifaro.com/en/abs/relational-mimic-for-visual-adversarial-imitation-learning-1912.08444</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-mimic-for-visual-adversarial-imitation-learning-1912.08444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-mimic-for-visual-adversarial-imitation-learning-1912.08444"/></url>
<url><loc>https://scifaro.com/en/abs/provable-non-convex-optimization-and-algorithm-validation-via-submodularity-1912.08495</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-non-convex-optimization-and-algorithm-validation-via-submodularity-1912.08495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-non-convex-optimization-and-algorithm-validation-via-submodularity-1912.08495"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-reinforcement-learning-for-energy-based-sequential-models-1912.08517</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-reinforcement-learning-for-energy-based-sequential-models-1912.08517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-reinforcement-learning-for-energy-based-sequential-models-1912.08517"/></url>
<url><loc>https://scifaro.com/en/abs/contextually-plausible-and-diverse-3d-human-motion-prediction-1912.08521</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextually-plausible-and-diverse-3d-human-motion-prediction-1912.08521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextually-plausible-and-diverse-3d-human-motion-prediction-1912.08521"/></url>
<url><loc>https://scifaro.com/en/abs/taming-an-autonomous-surface-vehicle-for-path-following-and-collision-avoidance-using-deep-reinforcement-learning-1912.08578</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taming-an-autonomous-surface-vehicle-for-path-following-and-collision-avoidance-using-deep-reinforcement-learning-1912.08578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taming-an-autonomous-surface-vehicle-for-path-following-and-collision-avoidance-using-deep-reinforcement-learning-1912.08578"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-classification-methods-for-very-high-dimensional-data-in-sparse-random-projection-representation-1912.08616</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-classification-methods-for-very-high-dimensional-data-in-sparse-random-projection-representation-1912.08616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-classification-methods-for-very-high-dimensional-data-in-sparse-random-projection-representation-1912.08616"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-elmvis-for-unsupervised-learning-1912.08638</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-elmvis-for-unsupervised-learning-1912.08638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-elmvis-for-unsupervised-learning-1912.08638"/></url>
<url><loc>https://scifaro.com/en/abs/interleaved-composite-quantization-for-high-dimensional-similarity-search-1912.08756</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interleaved-composite-quantization-for-high-dimensional-similarity-search-1912.08756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interleaved-composite-quantization-for-high-dimensional-similarity-search-1912.08756"/></url>
<url><loc>https://scifaro.com/en/abs/realmix-towards-realistic-semi-supervised-deep-learning-algorithms-1912.08766</loc><lastmod>2019-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/realmix-towards-realistic-semi-supervised-deep-learning-algorithms-1912.08766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/realmix-towards-realistic-semi-supervised-deep-learning-algorithms-1912.08766"/></url>
<url><loc>https://scifaro.com/en/abs/frequency-aware-reconstruction-of-fluid-simulations-with-generative-networks-1912.08776</loc><lastmod>2020-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frequency-aware-reconstruction-of-fluid-simulations-with-generative-networks-1912.08776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frequency-aware-reconstruction-of-fluid-simulations-with-generative-networks-1912.08776"/></url>
<url><loc>https://scifaro.com/en/abs/toco-a-framework-for-compressing-neural-network-models-based-on-tolerance-analysis-1912.08792</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toco-a-framework-for-compressing-neural-network-models-based-on-tolerance-analysis-1912.08792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toco-a-framework-for-compressing-neural-network-models-based-on-tolerance-analysis-1912.08792"/></url>
<url><loc>https://scifaro.com/en/abs/dreaming-to-distill-data-free-knowledge-transfer-via-deepinversion-1912.08795</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dreaming-to-distill-data-free-knowledge-transfer-via-deepinversion-1912.08795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dreaming-to-distill-data-free-knowledge-transfer-via-deepinversion-1912.08795"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-vc-dimension-and-sample-complexity-of-neural-networks-1912.08865</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-vc-dimension-and-sample-complexity-of-neural-networks-1912.08865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-vc-dimension-and-sample-complexity-of-neural-networks-1912.08865"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-meta-learning-without-tasks-1912.08866</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-meta-learning-without-tasks-1912.08866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-meta-learning-without-tasks-1912.08866"/></url>
<url><loc>https://scifaro.com/en/abs/topic-subject-creation-using-unsupervised-learning-for-topic-modeling-1912.08868</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topic-subject-creation-using-unsupervised-learning-for-topic-modeling-1912.08868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topic-subject-creation-using-unsupervised-learning-for-topic-modeling-1912.08868"/></url>
<url><loc>https://scifaro.com/en/abs/pruning-by-explaining-a-novel-criterion-for-deep-neural-network-pruning-1912.08881</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pruning-by-explaining-a-novel-criterion-for-deep-neural-network-pruning-1912.08881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pruning-by-explaining-a-novel-criterion-for-deep-neural-network-pruning-1912.08881"/></url>
<url><loc>https://scifaro.com/en/abs/enabling-smartphone-based-estimation-of-heart-rate-1912.08910</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enabling-smartphone-based-estimation-of-heart-rate-1912.08910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enabling-smartphone-based-estimation-of-heart-rate-1912.08910"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-metrics-and-adaptation-methods-for-domain-divergences-of-semg-based-gesture-recognition-1912.08914</loc><lastmod>2019-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-metrics-and-adaptation-methods-for-domain-divergences-of-semg-based-gesture-recognition-1912.08914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-metrics-and-adaptation-methods-for-domain-divergences-of-semg-based-gesture-recognition-1912.08914"/></url>
<url><loc>https://scifaro.com/en/abs/logarithmic-regret-in-multisecretary-and-online-linear-programs-with-continuous-valuations-1912.08917</loc><lastmod>2023-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logarithmic-regret-in-multisecretary-and-online-linear-programs-with-continuous-valuations-1912.08917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logarithmic-regret-in-multisecretary-and-online-linear-programs-with-continuous-valuations-1912.08917"/></url>
<url><loc>https://scifaro.com/en/abs/classification-des-s-e-ries-temporelles-incertaines-par-transformation-shapelet-1912.08919</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-des-s-e-ries-temporelles-incertaines-par-transformation-shapelet-1912.08919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-des-s-e-ries-temporelles-incertaines-par-transformation-shapelet-1912.08919"/></url>
<url><loc>https://scifaro.com/en/abs/callisto-entropy-based-test-generation-and-data-quality-assessment-for-machine-learning-systems-1912.08920</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/callisto-entropy-based-test-generation-and-data-quality-assessment-for-machine-learning-systems-1912.08920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/callisto-entropy-based-test-generation-and-data-quality-assessment-for-machine-learning-systems-1912.08920"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-streamflow-forecast-and-extracting-insights-using-long-short-term-memory-networks-with-data-integration-at-continental-scales-1912.08949</loc><lastmod>2020-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-streamflow-forecast-and-extracting-insights-using-long-short-term-memory-networks-with-data-integration-at-continental-scales-1912.08949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-streamflow-forecast-and-extracting-insights-using-long-short-term-memory-networks-with-data-integration-at-continental-scales-1912.08949"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-for-deep-learning-theory-and-algorithms-1912.08957</loc><lastmod>2019-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-for-deep-learning-theory-and-algorithms-1912.08957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-for-deep-learning-theory-and-algorithms-1912.08957"/></url>
<url><loc>https://scifaro.com/en/abs/multilevel-initialization-for-layer-parallel-deep-neural-network-training-1912.08974</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-initialization-for-layer-parallel-deep-neural-network-training-1912.08974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-initialization-for-layer-parallel-deep-neural-network-training-1912.08974"/></url>
<url><loc>https://scifaro.com/en/abs/deep-connectomics-networks-neural-network-architectures-inspired-by-neuronal-networks-1912.08986</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-connectomics-networks-neural-network-architectures-inspired-by-neuronal-networks-1912.08986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-connectomics-networks-neural-network-architectures-inspired-by-neuronal-networks-1912.08986"/></url>
<url><loc>https://scifaro.com/en/abs/model-weight-theft-with-just-noise-inputs-the-curious-case-of-the-petulant-attacker-1912.08987</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-weight-theft-with-just-noise-inputs-the-curious-case-of-the-petulant-attacker-1912.08987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-weight-theft-with-just-noise-inputs-the-curious-case-of-the-petulant-attacker-1912.08987"/></url>
<url><loc>https://scifaro.com/en/abs/interestingness-elements-for-explainable-reinforcement-learning-understanding-agents-capabilities-and-limitations-1912.09007</loc><lastmod>2020-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interestingness-elements-for-explainable-reinforcement-learning-understanding-agents-capabilities-and-limitations-1912.09007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interestingness-elements-for-explainable-reinforcement-learning-understanding-agents-capabilities-and-limitations-1912.09007"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-granularity-in-tensors-a-quest-for-interpretable-structure-1912.09009</loc><lastmod>2022-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-granularity-in-tensors-a-quest-for-interpretable-structure-1912.09009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-granularity-in-tensors-a-quest-for-interpretable-structure-1912.09009"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-designed-shinnar-le-roux-rf-pulse-using-root-flipping-deeprf-slr-1912.09015</loc><lastmod>2020-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-designed-shinnar-le-roux-rf-pulse-using-root-flipping-deeprf-slr-1912.09015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-designed-shinnar-le-roux-rf-pulse-using-root-flipping-deeprf-slr-1912.09015"/></url>
<url><loc>https://scifaro.com/en/abs/bounded-manifold-completion-1912.09026</loc><lastmod>2019-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounded-manifold-completion-1912.09026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounded-manifold-completion-1912.09026"/></url>
<url><loc>https://scifaro.com/en/abs/transmatch-a-transfer-learning-scheme-for-semi-supervised-few-shot-learning-1912.09033</loc><lastmod>2020-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transmatch-a-transfer-learning-scheme-for-semi-supervised-few-shot-learning-1912.09033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transmatch-a-transfer-learning-scheme-for-semi-supervised-few-shot-learning-1912.09033"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-selection-bias-in-counterfactual-reasoning-for-individual-treatment-effects-estimation-1912.09040</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-selection-bias-in-counterfactual-reasoning-for-individual-treatment-effects-estimation-1912.09040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-selection-bias-in-counterfactual-reasoning-for-individual-treatment-effects-estimation-1912.09040"/></url>
<url><loc>https://scifaro.com/en/abs/spiking-networks-for-improved-cognitive-abilities-of-edge-computing-devices-1912.09083</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spiking-networks-for-improved-cognitive-abilities-of-edge-computing-devices-1912.09083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spiking-networks-for-improved-cognitive-abilities-of-edge-computing-devices-1912.09083"/></url>
<url><loc>https://scifaro.com/en/abs/extreme-learning-tree-1912.09087</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extreme-learning-tree-1912.09087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extreme-learning-tree-1912.09087"/></url>
<url><loc>https://scifaro.com/en/abs/per-sample-prediction-intervals-for-extreme-learning-machines-1912.09090</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/per-sample-prediction-intervals-for-extreme-learning-machines-1912.09090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/per-sample-prediction-intervals-for-extreme-learning-machines-1912.09090"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-long-term-catastrophic-forgetting-through-adversarial-neural-pruning-and-synaptic-consolidation-1912.09091</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-long-term-catastrophic-forgetting-through-adversarial-neural-pruning-and-synaptic-consolidation-1912.09091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-long-term-catastrophic-forgetting-through-adversarial-neural-pruning-and-synaptic-consolidation-1912.09091"/></url>
<url><loc>https://scifaro.com/en/abs/mislabel-detection-of-finnish-publication-ranks-1912.09094</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mislabel-detection-of-finnish-publication-ranks-1912.09094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mislabel-detection-of-finnish-publication-ranks-1912.09094"/></url>
<url><loc>https://scifaro.com/en/abs/mean-field-theory-for-deep-dropout-networks-digging-up-gradient-backpropagation-deeply-1912.09132</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-field-theory-for-deep-dropout-networks-digging-up-gradient-backpropagation-deeply-1912.09132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-field-theory-for-deep-dropout-networks-digging-up-gradient-backpropagation-deeply-1912.09132"/></url>
<url><loc>https://scifaro.com/en/abs/meta-decision-trees-for-explainable-recommendation-systems-1912.09140</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-decision-trees-for-explainable-recommendation-systems-1912.09140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-decision-trees-for-explainable-recommendation-systems-1912.09140"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-deep-learning-using-improved-unsupervised-discriminant-projection-1912.09147</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-deep-learning-using-improved-unsupervised-discriminant-projection-1912.09147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-deep-learning-using-improved-unsupervised-discriminant-projection-1912.09147"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-weights-quantization-target-none-retraining-ternary-tnt-1912.09236</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-weights-quantization-target-none-retraining-ternary-tnt-1912.09236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-weights-quantization-target-none-retraining-ternary-tnt-1912.09236"/></url>
<url><loc>https://scifaro.com/en/abs/cnn-lstm-models-for-multi-speaker-source-separation-using-bayesian-hyper-parameter-optimization-1912.09254</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cnn-lstm-models-for-multi-speaker-source-separation-using-bayesian-hyper-parameter-optimization-1912.09254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cnn-lstm-models-for-multi-speaker-source-separation-using-bayesian-hyper-parameter-optimization-1912.09254"/></url>
<url><loc>https://scifaro.com/en/abs/practical-applicability-of-deep-neural-networks-for-overlapping-speaker-separation-1912.09261</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-applicability-of-deep-neural-networks-for-overlapping-speaker-separation-1912.09261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-applicability-of-deep-neural-networks-for-overlapping-speaker-separation-1912.09261"/></url>
<url><loc>https://scifaro.com/en/abs/tangent-space-separability-in-feedforward-neural-networks-1912.09306</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tangent-space-separability-in-feedforward-neural-networks-1912.09306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tangent-space-separability-in-feedforward-neural-networks-1912.09306"/></url>
<url><loc>https://scifaro.com/en/abs/pyss3-a-python-package-implementing-a-novel-text-classifier-with-visualization-tools-for-explainable-ai-1912.09322</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pyss3-a-python-package-implementing-a-novel-text-classifier-with-visualization-tools-for-explainable-ai-1912.09322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pyss3-a-python-package-implementing-a-novel-text-classifier-with-visualization-tools-for-explainable-ai-1912.09322"/></url>
<url><loc>https://scifaro.com/en/abs/nfad-fixing-anomaly-detection-using-normalizing-flows-1912.09323</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nfad-fixing-anomaly-detection-using-normalizing-flows-1912.09323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nfad-fixing-anomaly-detection-using-normalizing-flows-1912.09323"/></url>
<url><loc>https://scifaro.com/en/abs/vizwiz-dataset-browser-a-tool-for-visualizing-machine-learning-datasets-1912.09336</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vizwiz-dataset-browser-a-tool-for-visualizing-machine-learning-datasets-1912.09336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vizwiz-dataset-browser-a-tool-for-visualizing-machine-learning-datasets-1912.09336"/></url>
<url><loc>https://scifaro.com/en/abs/fq-conv-fully-quantized-convolution-for-efficient-and-accurate-inference-1912.09356</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fq-conv-fully-quantized-convolution-for-efficient-and-accurate-inference-1912.09356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fq-conv-fully-quantized-convolution-for-efficient-and-accurate-inference-1912.09356"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-training-of-gaussian-mixture-models-for-high-dimensional-streaming-data-1912.09379</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-training-of-gaussian-mixture-models-for-high-dimensional-streaming-data-1912.09379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-training-of-gaussian-mixture-models-for-high-dimensional-streaming-data-1912.09379"/></url>
<url><loc>https://scifaro.com/en/abs/a-transferable-adaptive-domain-adversarial-neural-network-for-virtual-reality-augmented-emg-based-gesture-recognition-1912.09380</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-transferable-adaptive-domain-adversarial-neural-network-for-virtual-reality-augmented-emg-based-gesture-recognition-1912.09380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-transferable-adaptive-domain-adversarial-neural-network-for-virtual-reality-augmented-emg-based-gesture-recognition-1912.09380"/></url>
<url><loc>https://scifaro.com/en/abs/robust-multi-output-learning-with-highly-incomplete-data-via-restricted-boltzmann-machines-1912.09382</loc><lastmod>2019-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-multi-output-learning-with-highly-incomplete-data-via-restricted-boltzmann-machines-1912.09382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-multi-output-learning-with-highly-incomplete-data-via-restricted-boltzmann-machines-1912.09382"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-the-effect-of-representations-on-task-complexity-1912.09399</loc><lastmod>2019-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-the-effect-of-representations-on-task-complexity-1912.09399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-the-effect-of-representations-on-task-complexity-1912.09399"/></url>
<url><loc>https://scifaro.com/en/abs/pseudo-encoded-stochastic-variational-inference-1912.09423</loc><lastmod>2019-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pseudo-encoded-stochastic-variational-inference-1912.09423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pseudo-encoded-stochastic-variational-inference-1912.09423"/></url>
<url><loc>https://scifaro.com/en/abs/fibs-a-generic-framework-for-classifying-interval-based-temporal-sequences-1912.09445</loc><lastmod>2020-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fibs-a-generic-framework-for-classifying-interval-based-temporal-sequences-1912.09445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fibs-a-generic-framework-for-classifying-interval-based-temporal-sequences-1912.09445"/></url>
<url><loc>https://scifaro.com/en/abs/event-outlier-detection-in-continuous-time-1912.09522</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/event-outlier-detection-in-continuous-time-1912.09522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/event-outlier-detection-in-continuous-time-1912.09522"/></url>
<url><loc>https://scifaro.com/en/abs/towards-verifying-robustness-of-neural-networks-against-semantic-perturbations-1912.09533</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-verifying-robustness-of-neural-networks-against-semantic-perturbations-1912.09533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-verifying-robustness-of-neural-networks-against-semantic-perturbations-1912.09533"/></url>
<url><loc>https://scifaro.com/en/abs/data-science-through-the-looking-glass-and-what-we-found-there-1912.09536</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-science-through-the-looking-glass-and-what-we-found-there-1912.09536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-science-through-the-looking-glass-and-what-we-found-there-1912.09536"/></url>
<url><loc>https://scifaro.com/en/abs/expanding-label-sets-for-graph-convolutional-networks-1912.09575</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expanding-label-sets-for-graph-convolutional-networks-1912.09575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expanding-label-sets-for-graph-convolutional-networks-1912.09575"/></url>
<url><loc>https://scifaro.com/en/abs/graph-convolutional-networks-analysis-improvements-and-results-1912.09592</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-convolutional-networks-analysis-improvements-and-results-1912.09592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-convolutional-networks-analysis-improvements-and-results-1912.09592"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-latent-variable-model-factorization-for-context-aware-recommender-systems-1912.09593</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-latent-variable-model-factorization-for-context-aware-recommender-systems-1912.09593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-latent-variable-model-factorization-for-context-aware-recommender-systems-1912.09593"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-the-potential-of-deep-reinforcement-learning-for-classification-tasks-in-high-dimensional-and-unstructured-data-1912.09595</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-the-potential-of-deep-reinforcement-learning-for-classification-tasks-in-high-dimensional-and-unstructured-data-1912.09595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-the-potential-of-deep-reinforcement-learning-for-classification-tasks-in-high-dimensional-and-unstructured-data-1912.09595"/></url>
<url><loc>https://scifaro.com/en/abs/group-connected-multilayer-perceptron-networks-1912.09600</loc><lastmod>2020-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-connected-multilayer-perceptron-networks-1912.09600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-connected-multilayer-perceptron-networks-1912.09600"/></url>
<url><loc>https://scifaro.com/en/abs/features-or-shape-tackling-the-false-dichotomy-of-time-series-classification-1912.09614</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/features-or-shape-tackling-the-false-dichotomy-of-time-series-classification-1912.09614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/features-or-shape-tackling-the-false-dichotomy-of-time-series-classification-1912.09614"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-deep-neural-network-predictions-for-medical-imaging-applications-1912.09621</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-deep-neural-network-predictions-for-medical-imaging-applications-1912.09621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-deep-neural-network-predictions-for-medical-imaging-applications-1912.09621"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-entropy-for-uniform-hypergraphs-1912.09624</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-entropy-for-uniform-hypergraphs-1912.09624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-entropy-for-uniform-hypergraphs-1912.09624"/></url>
<url><loc>https://scifaro.com/en/abs/practical-solutions-for-machine-learning-safety-in-autonomous-vehicles-1912.09630</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-solutions-for-machine-learning-safety-in-autonomous-vehicles-1912.09630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-solutions-for-machine-learning-safety-in-autonomous-vehicles-1912.09630"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-online-optimization-with-long-term-constraints-1912.09705</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-online-optimization-with-long-term-constraints-1912.09705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-online-optimization-with-long-term-constraints-1912.09705"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-compositional-generalization-a-comprehensive-method-on-realistic-data-1912.09713</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-compositional-generalization-a-comprehensive-method-on-realistic-data-1912.09713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-compositional-generalization-a-comprehensive-method-on-realistic-data-1912.09713"/></url>
<url><loc>https://scifaro.com/en/abs/robust-data-preprocessing-for-machine-learning-based-disk-failure-prediction-in-cloud-production-environments-1912.09722</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-data-preprocessing-for-machine-learning-based-disk-failure-prediction-in-cloud-production-environments-1912.09722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-data-preprocessing-for-machine-learning-based-disk-failure-prediction-in-cloud-production-environments-1912.09722"/></url>
<url><loc>https://scifaro.com/en/abs/triple-generative-adversarial-networks-1912.09784</loc><lastmod>2020-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/triple-generative-adversarial-networks-1912.09784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/triple-generative-adversarial-networks-1912.09784"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-distributed-machine-learning-1912.09789</loc><lastmod>2022-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-distributed-machine-learning-1912.09789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-distributed-machine-learning-1912.09789"/></url>
<url><loc>https://scifaro.com/en/abs/taxonomy-and-evaluation-of-structured-compression-of-convolutional-neural-networks-1912.09802</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taxonomy-and-evaluation-of-structured-compression-of-convolutional-neural-networks-1912.09802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taxonomy-and-evaluation-of-structured-compression-of-convolutional-neural-networks-1912.09802"/></url>
<url><loc>https://scifaro.com/en/abs/scr-apriori-for-mining-sets-of-contrasting-rules-1912.09817</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scr-apriori-for-mining-sets-of-contrasting-rules-1912.09817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scr-apriori-for-mining-sets-of-contrasting-rules-1912.09817"/></url>
<url><loc>https://scifaro.com/en/abs/when-explanations-lie-why-many-modified-bp-attributions-fail-1912.09818</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-explanations-lie-why-many-modified-bp-attributions-fail-1912.09818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-explanations-lie-why-many-modified-bp-attributions-fail-1912.09818"/></url>
<url><loc>https://scifaro.com/en/abs/background-hardly-matters-understanding-personality-attribution-in-deep-residual-networks-1912.09831</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/background-hardly-matters-understanding-personality-attribution-in-deep-residual-networks-1912.09831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/background-hardly-matters-understanding-personality-attribution-in-deep-residual-networks-1912.09831"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-physical-load-level-by-machine-learning-analysis-of-heart-activity-after-exercises-1912.09848</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-physical-load-level-by-machine-learning-analysis-of-heart-activity-after-exercises-1912.09848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-physical-load-level-by-machine-learning-analysis-of-heart-activity-after-exercises-1912.09848"/></url>
<url><loc>https://scifaro.com/en/abs/explainability-and-adversarial-robustness-for-rnns-1912.09855</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainability-and-adversarial-robustness-for-rnns-1912.09855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainability-and-adversarial-robustness-for-rnns-1912.09855"/></url>
<url><loc>https://scifaro.com/en/abs/lightweight-and-unobtrusive-data-obfuscation-at-iot-edge-for-remote-inference-1912.09859</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lightweight-and-unobtrusive-data-obfuscation-at-iot-edge-for-remote-inference-1912.09859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lightweight-and-unobtrusive-data-obfuscation-at-iot-edge-for-remote-inference-1912.09859"/></url>
<url><loc>https://scifaro.com/en/abs/meta-graph-few-shot-link-prediction-via-meta-learning-1912.09867</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-graph-few-shot-link-prediction-via-meta-learning-1912.09867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-graph-few-shot-link-prediction-via-meta-learning-1912.09867"/></url>
<url><loc>https://scifaro.com/en/abs/a-fair-comparison-of-graph-neural-networks-for-graph-classification-1912.09893</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fair-comparison-of-graph-neural-networks-for-graph-classification-1912.09893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fair-comparison-of-graph-neural-networks-for-graph-classification-1912.09893"/></url>
<url><loc>https://scifaro.com/en/abs/certified-robustness-for-top-k-predictions-against-adversarial-perturbations-via-randomized-smoothing-1912.09899</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certified-robustness-for-top-k-predictions-against-adversarial-perturbations-via-randomized-smoothing-1912.09899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certified-robustness-for-top-k-predictions-against-adversarial-perturbations-via-randomized-smoothing-1912.09899"/></url>
<url><loc>https://scifaro.com/en/abs/dependable-neural-networks-for-safety-critical-tasks-1912.09902</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dependable-neural-networks-for-safety-critical-tasks-1912.09902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dependable-neural-networks-for-safety-critical-tasks-1912.09902"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-fixed-point-methods-with-compressed-iterates-1912.09925</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-fixed-point-methods-with-compressed-iterates-1912.09925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-fixed-point-methods-with-compressed-iterates-1912.09925"/></url>
<url><loc>https://scifaro.com/en/abs/second-order-information-in-first-order-optimization-methods-1912.09926</loc><lastmod>2019-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/second-order-information-in-first-order-optimization-methods-1912.09926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/second-order-information-in-first-order-optimization-methods-1912.09926"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-sensitive-learning-and-planning-with-ensembles-1912.09996</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-sensitive-learning-and-planning-with-ensembles-1912.09996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-sensitive-learning-and-planning-with-ensembles-1912.09996"/></url>
<url><loc>https://scifaro.com/en/abs/secml-a-python-library-for-secure-and-explainable-machine-learning-1912.10013</loc><lastmod>2022-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secml-a-python-library-for-secure-and-explainable-machine-learning-1912.10013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secml-a-python-library-for-secure-and-explainable-machine-learning-1912.10013"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-attribution-priors-based-on-prior-knowledge-1912.10065</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-attribution-priors-based-on-prior-knowledge-1912.10065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-attribution-priors-based-on-prior-knowledge-1912.10065"/></url>
<url><loc>https://scifaro.com/en/abs/recommendations-and-user-agency-the-reachability-of-collaboratively-filtered-information-1912.10068</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recommendations-and-user-agency-the-reachability-of-collaboratively-filtered-information-1912.10068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recommendations-and-user-agency-the-reachability-of-collaboratively-filtered-information-1912.10068"/></url>
<url><loc>https://scifaro.com/en/abs/are-transformers-universal-approximators-of-sequence-to-sequence-functions-1912.10077</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-transformers-universal-approximators-of-sequence-to-sequence-functions-1912.10077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-transformers-universal-approximators-of-sequence-to-sequence-functions-1912.10077"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-prediction-of-icu-mortality-risk-using-domain-adaptation-1912.10080</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-prediction-of-icu-mortality-risk-using-domain-adaptation-1912.10080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-prediction-of-icu-mortality-risk-using-domain-adaptation-1912.10080"/></url>
<url><loc>https://scifaro.com/en/abs/east-encoding-aware-sparse-training-for-deep-memory-compression-of-convnets-1912.10087</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/east-encoding-aware-sparse-training-for-deep-memory-compression-of-convnets-1912.10087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/east-encoding-aware-sparse-training-for-deep-memory-compression-of-convnets-1912.10087"/></url>
<url><loc>https://scifaro.com/en/abs/chart-auto-encoders-for-manifold-structured-data-1912.10094</loc><lastmod>2020-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chart-auto-encoders-for-manifold-structured-data-1912.10094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chart-auto-encoders-for-manifold-structured-data-1912.10094"/></url>
<url><loc>https://scifaro.com/en/abs/landscape-connectivity-and-dropout-stability-of-sgd-solutions-for-over-parameterized-neural-networks-1912.10095</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/landscape-connectivity-and-dropout-stability-of-sgd-solutions-for-over-parameterized-neural-networks-1912.10095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/landscape-connectivity-and-dropout-stability-of-sgd-solutions-for-over-parameterized-neural-networks-1912.10095"/></url>
<url><loc>https://scifaro.com/en/abs/tentaclenet-a-pseudo-ensemble-template-for-accurate-binary-convolutional-neural-networks-1912.10103</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tentaclenet-a-pseudo-ensemble-template-for-accurate-binary-convolutional-neural-networks-1912.10103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tentaclenet-a-pseudo-ensemble-template-for-accurate-binary-convolutional-neural-networks-1912.10103"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-collision-avoidance-in-dense-airspace-using-deep-reinforcement-learning-1912.10146</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-collision-avoidance-in-dense-airspace-using-deep-reinforcement-learning-1912.10146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-collision-avoidance-in-dense-airspace-using-deep-reinforcement-learning-1912.10146"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-recursive-translations-for-molecular-optimization-1912.10156</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-recursive-translations-for-molecular-optimization-1912.10156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-recursive-translations-for-molecular-optimization-1912.10156"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-operating-envelope-with-interpretability-and-implementability-constraints-1912.10158</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-operating-envelope-with-interpretability-and-implementability-constraints-1912.10158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-operating-envelope-with-interpretability-and-implementability-constraints-1912.10158"/></url>
<url><loc>https://scifaro.com/en/abs/quantile-propagation-for-wasserstein-approximate-gaussian-processes-1912.10200</loc><lastmod>2020-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantile-propagation-for-wasserstein-approximate-gaussian-processes-1912.10200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantile-propagation-for-wasserstein-approximate-gaussian-processes-1912.10200"/></url>
<url><loc>https://scifaro.com/en/abs/graph-message-passing-with-cross-location-attentions-for-long-term-ili-prediction-1912.10202</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-message-passing-with-cross-location-attentions-for-long-term-ili-prediction-1912.10202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-message-passing-with-cross-location-attentions-for-long-term-ili-prediction-1912.10202"/></url>
<url><loc>https://scifaro.com/en/abs/how-robust-are-graph-neural-networks-to-structural-noise-1912.10206</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-robust-are-graph-neural-networks-to-structural-noise-1912.10206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-robust-are-graph-neural-networks-to-structural-noise-1912.10206"/></url>
<url><loc>https://scifaro.com/en/abs/latent-variables-on-spheres-for-autoencoders-in-high-dimensions-1912.10233</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-variables-on-spheres-for-autoencoders-in-high-dimensions-1912.10233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-variables-on-spheres-for-autoencoders-in-high-dimensions-1912.10233"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-the-effectiveness-of-margin-parameter-when-learning-knowledge-embedding-representation-for-domain-specific-multi-relational-categorized-data-1912.10264</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-the-effectiveness-of-margin-parameter-when-learning-knowledge-embedding-representation-for-domain-specific-multi-relational-categorized-data-1912.10264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-the-effectiveness-of-margin-parameter-when-learning-knowledge-embedding-representation-for-domain-specific-multi-relational-categorized-data-1912.10264"/></url>
<url><loc>https://scifaro.com/en/abs/there-and-back-again-unraveling-the-variational-auto-encoder-1912.10309</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/there-and-back-again-unraveling-the-variational-auto-encoder-1912.10309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/there-and-back-again-unraveling-the-variational-auto-encoder-1912.10309"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-td-error-as-a-heuristic-for-sigma-selection-in-q-sigma-lambda-1912.10316</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-td-error-as-a-heuristic-for-sigma-selection-in-q-sigma-lambda-1912.10316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-td-error-as-a-heuristic-for-sigma-selection-in-q-sigma-lambda-1912.10316"/></url>
<url><loc>https://scifaro.com/en/abs/deep-automodulators-1912.10321</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-automodulators-1912.10321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-automodulators-1912.10321"/></url>
<url><loc>https://scifaro.com/en/abs/online-reinforcement-learning-of-optimal-threshold-policies-for-markov-decision-processes-1912.10325</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-reinforcement-learning-of-optimal-threshold-policies-for-markov-decision-processes-1912.10325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-reinforcement-learning-of-optimal-threshold-policies-for-markov-decision-processes-1912.10325"/></url>
<url><loc>https://scifaro.com/en/abs/can-agents-learn-by-analogy-an-inferable-model-for-pac-reinforcement-learning-1912.10329</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-agents-learn-by-analogy-an-inferable-model-for-pac-reinforcement-learning-1912.10329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-agents-learn-by-analogy-an-inferable-model-for-pac-reinforcement-learning-1912.10329"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-multiclass-linear-classification-for-the-group-linear-separable-case-1912.10340</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-multiclass-linear-classification-for-the-group-linear-separable-case-1912.10340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-multiclass-linear-classification-for-the-group-linear-separable-case-1912.10340"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-impute-a-general-framework-for-semi-supervised-learning-1912.10364</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-impute-a-general-framework-for-semi-supervised-learning-1912.10364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-impute-a-general-framework-for-semi-supervised-learning-1912.10364"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-via-dynamical-systems-an-approximation-perspective-1912.10382</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-via-dynamical-systems-an-approximation-perspective-1912.10382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-via-dynamical-systems-an-approximation-perspective-1912.10382"/></url>
<url><loc>https://scifaro.com/en/abs/lessons-from-archives-strategies-for-collecting-sociocultural-data-in-machine-learning-1912.10389</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lessons-from-archives-strategies-for-collecting-sociocultural-data-in-machine-learning-1912.10389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lessons-from-archives-strategies-for-collecting-sociocultural-data-in-machine-learning-1912.10389"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-spectral-risk-measures-1912.10398</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-spectral-risk-measures-1912.10398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-spectral-risk-measures-1912.10398"/></url>
<url><loc>https://scifaro.com/en/abs/contracting-implicit-recurrent-neural-networks-stable-models-with-improved-trainability-1912.10402</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contracting-implicit-recurrent-neural-networks-stable-models-with-improved-trainability-1912.10402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contracting-implicit-recurrent-neural-networks-stable-models-with-improved-trainability-1912.10402"/></url>
<url><loc>https://scifaro.com/en/abs/a-regression-framework-for-predicting-user-s-next-location-using-call-detail-records-1912.10438</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-regression-framework-for-predicting-user-s-next-location-using-call-detail-records-1912.10438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-regression-framework-for-predicting-user-s-next-location-using-call-detail-records-1912.10438"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-initialization-of-long-short-term-memory-networks-1912.10454</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-initialization-of-long-short-term-memory-networks-1912.10454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-initialization-of-long-short-term-memory-networks-1912.10454"/></url>
<url><loc>https://scifaro.com/en/abs/learning-improved-representations-by-transferring-incomplete-evidence-across-heterogeneous-tasks-1912.10490</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-improved-representations-by-transferring-incomplete-evidence-across-heterogeneous-tasks-1912.10490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-improved-representations-by-transferring-incomplete-evidence-across-heterogeneous-tasks-1912.10490"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-evaluation-of-treatment-assignment-functions-with-networked-observational-data-1912.10536</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-evaluation-of-treatment-assignment-functions-with-networked-observational-data-1912.10536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-evaluation-of-treatment-assignment-functions-with-networked-observational-data-1912.10536"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-target-attentive-diagnosis-prediction-in-heterogeneous-information-networks-1912.10552</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-target-attentive-diagnosis-prediction-in-heterogeneous-information-networks-1912.10552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-target-attentive-diagnosis-prediction-in-heterogeneous-information-networks-1912.10552"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-interpretability-for-predictive-process-analytics-1912.10558</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-interpretability-for-predictive-process-analytics-1912.10558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-interpretability-for-predictive-process-analytics-1912.10558"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-parameter-sampling-for-neural-network-construction-1912.10559</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-parameter-sampling-for-neural-network-construction-1912.10559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-parameter-sampling-for-neural-network-construction-1912.10559"/></url>
<url><loc>https://scifaro.com/en/abs/parameterized-indexed-value-function-for-efficient-exploration-in-reinforcement-learning-1912.10577</loc><lastmod>2020-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameterized-indexed-value-function-for-efficient-exploration-in-reinforcement-learning-1912.10577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameterized-indexed-value-function-for-efficient-exploration-in-reinforcement-learning-1912.10577"/></url>
<url><loc>https://scifaro.com/en/abs/finite-time-analysis-and-restarting-scheme-for-linear-two-time-scale-stochastic-approximation-1912.10583</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-time-analysis-and-restarting-scheme-for-linear-two-time-scale-stochastic-approximation-1912.10583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-time-analysis-and-restarting-scheme-for-linear-two-time-scale-stochastic-approximation-1912.10583"/></url>
<url><loc>https://scifaro.com/en/abs/the-labeling-distribution-matrix-ldm-a-tool-for-estimating-machine-learning-algorithm-capacity-1912.10597</loc><lastmod>2020-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-labeling-distribution-matrix-ldm-a-tool-for-estimating-machine-learning-algorithm-capacity-1912.10597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-labeling-distribution-matrix-ldm-a-tool-for-estimating-machine-learning-algorithm-capacity-1912.10597"/></url>
<url><loc>https://scifaro.com/en/abs/business-process-variant-analysis-based-on-mutual-fingerprints-of-event-logs-1912.10598</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/business-process-variant-analysis-based-on-mutual-fingerprints-of-event-logs-1912.10598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/business-process-variant-analysis-based-on-mutual-fingerprints-of-event-logs-1912.10598"/></url>
<url><loc>https://scifaro.com/en/abs/direct-and-indirect-reinforcement-learning-1912.10600</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direct-and-indirect-reinforcement-learning-1912.10600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direct-and-indirect-reinforcement-learning-1912.10600"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-tree-search-for-policy-optimization-1912.10648</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-tree-search-for-policy-optimization-1912.10648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-tree-search-for-policy-optimization-1912.10648"/></url>
<url><loc>https://scifaro.com/en/abs/the-usual-suspects-reassessing-blame-for-vae-posterior-collapse-1912.10702</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-usual-suspects-reassessing-blame-for-vae-posterior-collapse-1912.10702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-usual-suspects-reassessing-blame-for-vae-posterior-collapse-1912.10702"/></url>
<url><loc>https://scifaro.com/en/abs/variational-recurrent-models-for-solving-partially-observable-control-tasks-1912.10703</loc><lastmod>2019-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-recurrent-models-for-solving-partially-observable-control-tasks-1912.10703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-recurrent-models-for-solving-partially-observable-control-tasks-1912.10703"/></url>
<url><loc>https://scifaro.com/en/abs/textnas-a-neural-architecture-search-space-tailored-for-text-representation-1912.10729</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/textnas-a-neural-architecture-search-space-tailored-for-text-representation-1912.10729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/textnas-a-neural-architecture-search-space-tailored-for-text-representation-1912.10729"/></url>
<url><loc>https://scifaro.com/en/abs/an-optical-diffractive-deep-neural-network-with-multiple-frequency-channels-1912.10730</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optical-diffractive-deep-neural-network-with-multiple-frequency-channels-1912.10730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optical-diffractive-deep-neural-network-with-multiple-frequency-channels-1912.10730"/></url>
<url><loc>https://scifaro.com/en/abs/automl-exploration-v-s-exploitation-1912.10746</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automl-exploration-v-s-exploitation-1912.10746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automl-exploration-v-s-exploitation-1912.10746"/></url>
<url><loc>https://scifaro.com/en/abs/learn-able-parameter-guided-activation-functions-1912.10752</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-able-parameter-guided-activation-functions-1912.10752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-able-parameter-guided-activation-functions-1912.10752"/></url>
<url><loc>https://scifaro.com/en/abs/layerwise-noise-maximisation-to-train-low-energy-deep-neural-networks-1912.10764</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layerwise-noise-maximisation-to-train-low-energy-deep-neural-networks-1912.10764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layerwise-noise-maximisation-to-train-low-energy-deep-neural-networks-1912.10764"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-deep-learning-applications-to-autonomous-vehicle-control-1912.10773</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-deep-learning-applications-to-autonomous-vehicle-control-1912.10773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-deep-learning-applications-to-autonomous-vehicle-control-1912.10773"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-predictions-of-sand-dune-migration-1912.10798</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-predictions-of-sand-dune-migration-1912.10798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-predictions-of-sand-dune-migration-1912.10798"/></url>
<url><loc>https://scifaro.com/en/abs/dete-c-c-ao-de-estruturas-permanentes-a-partir-de-dados-de-s-eries-temporais-sentinel-1-e-2-1912.10799</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dete-c-c-ao-de-estruturas-permanentes-a-partir-de-dados-de-s-eries-temporais-sentinel-1-e-2-1912.10799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dete-c-c-ao-de-estruturas-permanentes-a-partir-de-dados-de-s-eries-temporais-sentinel-1-e-2-1912.10799"/></url>
<url><loc>https://scifaro.com/en/abs/majorization-minimization-technique-for-optimally-solving-deep-dictionary-learning-1912.10801</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/majorization-minimization-technique-for-optimally-solving-deep-dictionary-learning-1912.10801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/majorization-minimization-technique-for-optimally-solving-deep-dictionary-learning-1912.10801"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-outcome-of-judicial-decisions-made-by-the-european-court-of-human-rights-1912.10819</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-outcome-of-judicial-decisions-made-by-the-european-court-of-human-rights-1912.10819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-outcome-of-judicial-decisions-made-by-the-european-court-of-human-rights-1912.10819"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-reasoning-on-large-knowledge-bases-and-natural-language-1912.10824</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-reasoning-on-large-knowledge-bases-and-natural-language-1912.10824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-reasoning-on-large-knowledge-bases-and-natural-language-1912.10824"/></url>
<url><loc>https://scifaro.com/en/abs/optimize-cash-collection-use-machine-learning-to-predicting-invoice-payment-1912.10828</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimize-cash-collection-use-machine-learning-to-predicting-invoice-payment-1912.10828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimize-cash-collection-use-machine-learning-to-predicting-invoice-payment-1912.10828"/></url>
<url><loc>https://scifaro.com/en/abs/variable-lag-granger-causality-for-time-series-analysis-1912.10829</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-lag-granger-causality-for-time-series-analysis-1912.10829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-lag-granger-causality-for-time-series-analysis-1912.10829"/></url>
<url><loc>https://scifaro.com/en/abs/an-attention-based-graph-neural-network-for-heterogeneous-structural-learning-1912.10832</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-attention-based-graph-neural-network-for-heterogeneous-structural-learning-1912.10832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-attention-based-graph-neural-network-for-heterogeneous-structural-learning-1912.10832"/></url>
<url><loc>https://scifaro.com/en/abs/does-symbolic-knowledge-prevent-adversarial-fooling-1912.10834</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-symbolic-knowledge-prevent-adversarial-fooling-1912.10834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-symbolic-knowledge-prevent-adversarial-fooling-1912.10834"/></url>
<url><loc>https://scifaro.com/en/abs/learned-svd-solving-inverse-problems-via-hybrid-autoencoding-1912.10840</loc><lastmod>2020-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learned-svd-solving-inverse-problems-via-hybrid-autoencoding-1912.10840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learned-svd-solving-inverse-problems-via-hybrid-autoencoding-1912.10840"/></url>
<url><loc>https://scifaro.com/en/abs/the-state-of-knowledge-distillation-for-classification-1912.10850</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-state-of-knowledge-distillation-for-classification-1912.10850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-state-of-knowledge-distillation-for-classification-1912.10850"/></url>
<url><loc>https://scifaro.com/en/abs/et-usb-transformer-based-sequential-behavior-modeling-for-inbound-customer-service-1912.10852</loc><lastmod>2020-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/et-usb-transformer-based-sequential-behavior-modeling-for-inbound-customer-service-1912.10852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/et-usb-transformer-based-sequential-behavior-modeling-for-inbound-customer-service-1912.10852"/></url>
<url><loc>https://scifaro.com/en/abs/soft-q-network-1912.10891</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-q-network-1912.10891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-q-network-1912.10891"/></url>
<url><loc>https://scifaro.com/en/abs/on-simulation-and-trajectory-prediction-with-gaussian-process-dynamics-1912.10900</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-simulation-and-trajectory-prediction-with-gaussian-process-dynamics-1912.10900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-simulation-and-trajectory-prediction-with-gaussian-process-dynamics-1912.10900"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-embedding-of-regularized-block-models-1912.10903</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-embedding-of-regularized-block-models-1912.10903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-embedding-of-regularized-block-models-1912.10903"/></url>
<url><loc>https://scifaro.com/en/abs/large-random-forests-optimisation-for-rapid-evaluation-1912.10934</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-random-forests-optimisation-for-rapid-evaluation-1912.10934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-random-forests-optimisation-for-rapid-evaluation-1912.10934"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-attacks-on-network-embeddings-1912.10979</loc><lastmod>2019-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-attacks-on-network-embeddings-1912.10979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-attacks-on-network-embeddings-1912.10979"/></url>
<url><loc>https://scifaro.com/en/abs/backpack-packing-more-into-backprop-1912.10985</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backpack-packing-more-into-backprop-1912.10985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backpack-packing-more-into-backprop-1912.10985"/></url>
<url><loc>https://scifaro.com/en/abs/data-free-adversarial-distillation-1912.11006</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-free-adversarial-distillation-1912.11006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-free-adversarial-distillation-1912.11006"/></url>
<url><loc>https://scifaro.com/en/abs/learning-an-interpretable-traffic-signal-control-policy-1912.11023</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-an-interpretable-traffic-signal-control-policy-1912.11023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-an-interpretable-traffic-signal-control-policy-1912.11023"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-and-continuous-action-representation-for-practical-rl-in-video-games-1912.11077</loc><lastmod>2019-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-and-continuous-action-representation-for-practical-rl-in-video-games-1912.11077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-and-continuous-action-representation-for-practical-rl-in-video-games-1912.11077"/></url>
<url><loc>https://scifaro.com/en/abs/ensemfdet-an-ensemble-approach-to-fraud-detection-based-on-bipartite-graph-1912.11113</loc><lastmod>2020-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemfdet-an-ensemble-approach-to-fraud-detection-based-on-bipartite-graph-1912.11113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemfdet-an-ensemble-approach-to-fraud-detection-based-on-bipartite-graph-1912.11113"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-discovery-of-emergent-behaviors-in-collective-dynamics-1912.11123</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-discovery-of-emergent-behaviors-in-collective-dynamics-1912.11123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-discovery-of-emergent-behaviors-in-collective-dynamics-1912.11123"/></url>
<url><loc>https://scifaro.com/en/abs/a-distributed-neural-network-architecture-for-robust-non-linear-spatio-temporal-prediction-1912.11141</loc><lastmod>2019-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributed-neural-network-architecture-for-robust-non-linear-spatio-temporal-prediction-1912.11141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributed-neural-network-architecture-for-robust-non-linear-spatio-temporal-prediction-1912.11141"/></url>
<url><loc>https://scifaro.com/en/abs/high-utility-interval-based-sequences-1912.11165</loc><lastmod>2020-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-utility-interval-based-sequences-1912.11165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-utility-interval-based-sequences-1912.11165"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-graph-hierarchical-abstractions-with-differentiable-coarsening-and-optimal-transport-1912.11176</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-graph-hierarchical-abstractions-with-differentiable-coarsening-and-optimal-transport-1912.11176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-graph-hierarchical-abstractions-with-differentiable-coarsening-and-optimal-transport-1912.11176"/></url>
<url><loc>https://scifaro.com/en/abs/a-communication-efficient-collaborative-learning-framework-for-distributed-features-1912.11187</loc><lastmod>2020-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-communication-efficient-collaborative-learning-framework-for-distributed-features-1912.11187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-communication-efficient-collaborative-learning-framework-for-distributed-features-1912.11187"/></url>
<url><loc>https://scifaro.com/en/abs/quadruply-stochastic-gradient-method-for-large-scale-nonlinear-semi-supervised-ordinal-regression-auc-optimization-1912.11193</loc><lastmod>2019-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quadruply-stochastic-gradient-method-for-large-scale-nonlinear-semi-supervised-ordinal-regression-auc-optimization-1912.11193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quadruply-stochastic-gradient-method-for-large-scale-nonlinear-semi-supervised-ordinal-regression-auc-optimization-1912.11193"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-and-effective-framework-for-pairwise-deep-metric-learning-1912.11194</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-and-effective-framework-for-pairwise-deep-metric-learning-1912.11194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-and-effective-framework-for-pairwise-deep-metric-learning-1912.11194"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-combat-compounding-error-in-model-based-reinforcement-learning-1912.11206</loc><lastmod>2019-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-combat-compounding-error-in-model-based-reinforcement-learning-1912.11206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-combat-compounding-error-in-model-based-reinforcement-learning-1912.11206"/></url>
<url><loc>https://scifaro.com/en/abs/variable-feature-weighted-fuzzy-k-means-algorithm-for-high-dimensional-data-1912.11209</loc><lastmod>2025-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-feature-weighted-fuzzy-k-means-algorithm-for-high-dimensional-data-1912.11209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-feature-weighted-fuzzy-k-means-algorithm-for-high-dimensional-data-1912.11209"/></url>
<url><loc>https://scifaro.com/en/abs/on-sharing-models-instead-of-data-using-mimic-learning-for-smart-health-applications-1912.11210</loc><lastmod>2019-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-sharing-models-instead-of-data-using-mimic-learning-for-smart-health-applications-1912.11210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-sharing-models-instead-of-data-using-mimic-learning-for-smart-health-applications-1912.11210"/></url>
<url><loc>https://scifaro.com/en/abs/safe-sample-screening-for-robust-support-vector-machine-1912.11217</loc><lastmod>2019-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-sample-screening-for-robust-support-vector-machine-1912.11217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-sample-screening-for-robust-support-vector-machine-1912.11217"/></url>
<url><loc>https://scifaro.com/en/abs/intelligent-condition-based-monitoring-techniques-for-bearing-fault-diagnosis-1912.11235</loc><lastmod>2020-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intelligent-condition-based-monitoring-techniques-for-bearing-fault-diagnosis-1912.11235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intelligent-condition-based-monitoring-techniques-for-bearing-fault-diagnosis-1912.11235"/></url>
<url><loc>https://scifaro.com/en/abs/attention-aware-answers-of-the-crowd-1912.11238</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-aware-answers-of-the-crowd-1912.11238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-aware-answers-of-the-crowd-1912.11238"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-pac-bayes-priors-in-model-averaging-1912.11252</loc><lastmod>2023-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-pac-bayes-priors-in-model-averaging-1912.11252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-pac-bayes-priors-in-model-averaging-1912.11252"/></url>
<url><loc>https://scifaro.com/en/abs/mining-user-behaviour-from-smartphone-data-a-literature-review-1912.11259</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-user-behaviour-from-smartphone-data-a-literature-review-1912.11259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-user-behaviour-from-smartphone-data-a-literature-review-1912.11259"/></url>
<url><loc>https://scifaro.com/en/abs/add-lib-decision-diagrams-in-practice-1912.11308</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/add-lib-decision-diagrams-in-practice-1912.11308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/add-lib-decision-diagrams-in-practice-1912.11308"/></url>
<url><loc>https://scifaro.com/en/abs/tradi-tracking-deep-neural-network-weight-distributions-for-uncertainty-estimation-1912.11316</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tradi-tracking-deep-neural-network-weight-distributions-for-uncertainty-estimation-1912.11316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tradi-tracking-deep-neural-network-weight-distributions-for-uncertainty-estimation-1912.11316"/></url>
<url><loc>https://scifaro.com/en/abs/customers-churn-prediction-in-financial-institution-using-artificial-neural-network-1912.11346</loc><lastmod>2019-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/customers-churn-prediction-in-financial-institution-using-artificial-neural-network-1912.11346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/customers-churn-prediction-in-financial-institution-using-artificial-neural-network-1912.11346"/></url>
<url><loc>https://scifaro.com/en/abs/online-algorithms-for-multiclass-classification-using-partial-labels-1912.11367</loc><lastmod>2019-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-algorithms-for-multiclass-classification-using-partial-labels-1912.11367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-algorithms-for-multiclass-classification-using-partial-labels-1912.11367"/></url>
<url><loc>https://scifaro.com/en/abs/broad-learning-system-based-on-maximum-correntropy-criterion-1912.11368</loc><lastmod>2023-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/broad-learning-system-based-on-maximum-correntropy-criterion-1912.11368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/broad-learning-system-based-on-maximum-correntropy-criterion-1912.11368"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-the-decision-boundary-of-deep-neural-networks-1912.11460</loc><lastmod>2020-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-the-decision-boundary-of-deep-neural-networks-1912.11460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-the-decision-boundary-of-deep-neural-networks-1912.11460"/></url>
<url><loc>https://scifaro.com/en/abs/attack-resistant-federated-learning-with-residual-based-reweighting-1912.11464</loc><lastmod>2021-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attack-resistant-federated-learning-with-residual-based-reweighting-1912.11464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attack-resistant-federated-learning-with-residual-based-reweighting-1912.11464"/></url>
<url><loc>https://scifaro.com/en/abs/one-class-classification-by-ensembles-of-regression-models-a-detailed-study-1912.11475</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-class-classification-by-ensembles-of-regression-models-a-detailed-study-1912.11475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-class-classification-by-ensembles-of-regression-models-a-detailed-study-1912.11475"/></url>
<url><loc>https://scifaro.com/en/abs/self-adaption-grey-dbscan-clustering-1912.11477</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-adaption-grey-dbscan-clustering-1912.11477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-adaption-grey-dbscan-clustering-1912.11477"/></url>
<url><loc>https://scifaro.com/en/abs/cprop-adaptive-learning-rate-scaling-from-past-gradient-conformity-1912.11493</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cprop-adaptive-learning-rate-scaling-from-past-gradient-conformity-1912.11493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cprop-adaptive-learning-rate-scaling-from-past-gradient-conformity-1912.11493"/></url>
<url><loc>https://scifaro.com/en/abs/an-analysis-of-the-expressiveness-of-deep-neural-network-architectures-based-on-their-lipschitz-constants-1912.11511</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analysis-of-the-expressiveness-of-deep-neural-network-architectures-based-on-their-lipschitz-constants-1912.11511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analysis-of-the-expressiveness-of-deep-neural-network-architectures-based-on-their-lipschitz-constants-1912.11511"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-the-learnability-of-relational-properties-model-counting-meets-machine-learning-mcml-1912.11580</loc><lastmod>2020-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-the-learnability-of-relational-properties-model-counting-meets-machine-learning-mcml-1912.11580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-the-learnability-of-relational-properties-model-counting-meets-machine-learning-mcml-1912.11580"/></url>
<url><loc>https://scifaro.com/en/abs/neural-subgraph-isomorphism-counting-1912.11589</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-subgraph-isomorphism-counting-1912.11589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-subgraph-isomorphism-counting-1912.11589"/></url>
<url><loc>https://scifaro.com/en/abs/deep-graph-similarity-learning-a-survey-1912.11615</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-graph-similarity-learning-a-survey-1912.11615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-graph-similarity-learning-a-survey-1912.11615"/></url>
<url><loc>https://scifaro.com/en/abs/learning-controllable-disentangled-representations-with-decorrelation-regularization-1912.11675</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-controllable-disentangled-representations-with-decorrelation-regularization-1912.11675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-controllable-disentangled-representations-with-decorrelation-regularization-1912.11675"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-gaussian-process-regression-for-kernels-with-a-non-stationary-phase-1912.11713</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-gaussian-process-regression-for-kernels-with-a-non-stationary-phase-1912.11713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-gaussian-process-regression-for-kernels-with-a-non-stationary-phase-1912.11713"/></url>
<url><loc>https://scifaro.com/en/abs/feature-attention-graph-convolutional-networks-for-noise-resilient-learning-1912.11755</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-attention-graph-convolutional-networks-for-noise-resilient-learning-1912.11755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-attention-graph-convolutional-networks-for-noise-resilient-learning-1912.11755"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-graph-convolutional-network-representation-learning-1912.11757</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-graph-convolutional-network-representation-learning-1912.11757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-graph-convolutional-network-representation-learning-1912.11757"/></url>
<url><loc>https://scifaro.com/en/abs/a-time-attention-based-fraud-transaction-detection-framework-1912.11760</loc><lastmod>2020-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-time-attention-based-fraud-transaction-detection-framework-1912.11760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-time-attention-based-fraud-transaction-detection-framework-1912.11760"/></url>
<url><loc>https://scifaro.com/en/abs/the-application-of-machine-learning-techniques-for-predicting-results-in-team-sport-a-review-1912.11762</loc><lastmod>2022-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-application-of-machine-learning-techniques-for-predicting-results-in-team-sport-a-review-1912.11762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-application-of-machine-learning-techniques-for-predicting-results-in-team-sport-a-review-1912.11762"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hybrid-representation-by-robust-dictionary-learning-in-factorized-compressed-space-1912.11785</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hybrid-representation-by-robust-dictionary-learning-in-factorized-compressed-space-1912.11785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hybrid-representation-by-robust-dictionary-learning-in-factorized-compressed-space-1912.11785"/></url>
<url><loc>https://scifaro.com/en/abs/variational-metric-scaling-for-metric-based-meta-learning-1912.11809</loc><lastmod>2020-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-metric-scaling-for-metric-based-meta-learning-1912.11809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-metric-scaling-for-metric-based-meta-learning-1912.11809"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-study-on-machine-learning-algorithms-for-the-control-of-a-wall-following-robot-1912.11856</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-study-on-machine-learning-algorithms-for-the-control-of-a-wall-following-robot-1912.11856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-study-on-machine-learning-algorithms-for-the-control-of-a-wall-following-robot-1912.11856"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-training-of-deep-classifiers-for-wireless-source-identification-using-test-snr-estimates-1912.11896</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-training-of-deep-classifiers-for-wireless-source-identification-using-test-snr-estimates-1912.11896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-training-of-deep-classifiers-for-wireless-source-identification-using-test-snr-estimates-1912.11896"/></url>
<url><loc>https://scifaro.com/en/abs/quasi-newton-trust-region-policy-optimization-1912.11912</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quasi-newton-trust-region-policy-optimization-1912.11912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quasi-newton-trust-region-policy-optimization-1912.11912"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-principle-of-least-symmetry-breaking-in-shallow-relu-models-1912.11939</loc><lastmod>2023-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-principle-of-least-symmetry-breaking-in-shallow-relu-models-1912.11939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-principle-of-least-symmetry-breaking-in-shallow-relu-models-1912.11939"/></url>
<url><loc>https://scifaro.com/en/abs/is-attention-all-what-you-need-an-empirical-investigation-on-convolution-based-active-memory-and-self-attention-1912.11959</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-attention-all-what-you-need-an-empirical-investigation-on-convolution-based-active-memory-and-self-attention-1912.11959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-attention-all-what-you-need-an-empirical-investigation-on-convolution-based-active-memory-and-self-attention-1912.11959"/></url>
<url><loc>https://scifaro.com/en/abs/degan-data-enriching-gan-for-retrieving-representative-samples-from-a-trained-classifier-1912.11960</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/degan-data-enriching-gan-for-retrieving-representative-samples-from-a-trained-classifier-1912.11960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/degan-data-enriching-gan-for-retrieving-representative-samples-from-a-trained-classifier-1912.11960"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-adversarial-training-with-transferable-adversarial-examples-1912.11969</loc><lastmod>2020-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-adversarial-training-with-transferable-adversarial-examples-1912.11969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-adversarial-training-with-transferable-adversarial-examples-1912.11969"/></url>
<url><loc>https://scifaro.com/en/abs/evolutionary-clustering-via-message-passing-1912.11970</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolutionary-clustering-via-message-passing-1912.11970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolutionary-clustering-via-message-passing-1912.11970"/></url>
<url><loc>https://scifaro.com/en/abs/use-short-isometric-shapelets-to-accelerate-binary-time-series-classification-1912.11982</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/use-short-isometric-shapelets-to-accelerate-binary-time-series-classification-1912.11982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/use-short-isometric-shapelets-to-accelerate-binary-time-series-classification-1912.11982"/></url>
<url><loc>https://scifaro.com/en/abs/fast-generalized-matrix-regression-with-applications-in-machine-learning-1912.12008</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-generalized-matrix-regression-with-applications-in-machine-learning-1912.12008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-generalized-matrix-regression-with-applications-in-machine-learning-1912.12008"/></url>
<url><loc>https://scifaro.com/en/abs/graduate-employment-prediction-with-bias-1912.12012</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graduate-employment-prediction-with-bias-1912.12012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graduate-employment-prediction-with-bias-1912.12012"/></url>
<url><loc>https://scifaro.com/en/abs/crowdfunding-dynamics-tracking-a-reinforcement-learning-approach-1912.12016</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crowdfunding-dynamics-tracking-a-reinforcement-learning-approach-1912.12016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crowdfunding-dynamics-tracking-a-reinforcement-learning-approach-1912.12016"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-data-analytics-on-augmented-similarity-triplets-1912.12064</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-data-analytics-on-augmented-similarity-triplets-1912.12064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-data-analytics-on-augmented-similarity-triplets-1912.12064"/></url>
<url><loc>https://scifaro.com/en/abs/quaternion-equivariant-capsule-networks-for-3d-point-clouds-1912.12098</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quaternion-equivariant-capsule-networks-for-3d-point-clouds-1912.12098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quaternion-equivariant-capsule-networks-for-3d-point-clouds-1912.12098"/></url>
<url><loc>https://scifaro.com/en/abs/split-learning-for-collaborative-deep-learning-in-healthcare-1912.12115</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/split-learning-for-collaborative-deep-learning-in-healthcare-1912.12115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/split-learning-for-collaborative-deep-learning-in-healthcare-1912.12115"/></url>
<url><loc>https://scifaro.com/en/abs/comparative-analysis-of-predictive-methods-for-early-assessment-of-compliance-with-continuous-positive-airway-pressure-therapy-1912.12116</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparative-analysis-of-predictive-methods-for-early-assessment-of-compliance-with-continuous-positive-airway-pressure-therapy-1912.12116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparative-analysis-of-predictive-methods-for-early-assessment-of-compliance-with-continuous-positive-airway-pressure-therapy-1912.12116"/></url>
<url><loc>https://scifaro.com/en/abs/learning-neural-activations-1912.12187</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-neural-activations-1912.12187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-neural-activations-1912.12187"/></url>
<url><loc>https://scifaro.com/en/abs/importance-filtered-cross-domain-adaptation-1912.12209</loc><lastmod>2020-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-filtered-cross-domain-adaptation-1912.12209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-filtered-cross-domain-adaptation-1912.12209"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-markov-clustering-by-minimum-curvilinear-sparse-similarity-1912.12211</loc><lastmod>2019-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-markov-clustering-by-minimum-curvilinear-sparse-similarity-1912.12211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-markov-clustering-by-minimum-curvilinear-sparse-similarity-1912.12211"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-attributes-of-nodes-using-network-structure-1912.12264</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-attributes-of-nodes-using-network-structure-1912.12264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-attributes-of-nodes-using-network-structure-1912.12264"/></url>
<url><loc>https://scifaro.com/en/abs/synthetic-datasets-for-neural-program-synthesis-1912.12345</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthetic-datasets-for-neural-program-synthesis-1912.12345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthetic-datasets-for-neural-program-synthesis-1912.12345"/></url>
<url><loc>https://scifaro.com/en/abs/softadapt-techniques-for-adaptive-loss-weighting-of-neural-networks-with-multi-part-loss-functions-1912.12355</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/softadapt-techniques-for-adaptive-loss-weighting-of-neural-networks-with-multi-part-loss-functions-1912.12355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/softadapt-techniques-for-adaptive-loss-weighting-of-neural-networks-with-multi-part-loss-functions-1912.12355"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-group-separability-in-geometrical-space-for-evaluation-of-pattern-recognition-and-embedding-algorithms-1912.12418</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-group-separability-in-geometrical-space-for-evaluation-of-pattern-recognition-and-embedding-algorithms-1912.12418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-group-separability-in-geometrical-space-for-evaluation-of-pattern-recognition-and-embedding-algorithms-1912.12418"/></url>
<url><loc>https://scifaro.com/en/abs/arachne-search-based-repair-of-deep-neural-networks-1912.12463</loc><lastmod>2022-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arachne-search-based-repair-of-deep-neural-networks-1912.12463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arachne-search-based-repair-of-deep-neural-networks-1912.12463"/></url>
<url><loc>https://scifaro.com/en/abs/slm-lab-a-comprehensive-benchmark-and-modular-software-framework-for-reproducible-deep-reinforcement-learning-1912.12482</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slm-lab-a-comprehensive-benchmark-and-modular-software-framework-for-reproducible-deep-reinforcement-learning-1912.12482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slm-lab-a-comprehensive-benchmark-and-modular-software-framework-for-reproducible-deep-reinforcement-learning-1912.12482"/></url>
<url><loc>https://scifaro.com/en/abs/alleviation-of-gradient-exploding-in-gans-fake-can-be-real-1912.12485</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alleviation-of-gradient-exploding-in-gans-fake-can-be-real-1912.12485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alleviation-of-gradient-exploding-in-gans-fake-can-be-real-1912.12485"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-supervision-for-fault-detection-and-segmentation-of-emerging-fault-types-with-deep-variational-autoencoders-1912.12502</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-supervision-for-fault-detection-and-segmentation-of-emerging-fault-types-with-deep-variational-autoencoders-1912.12502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-supervision-for-fault-detection-and-segmentation-of-emerging-fault-types-with-deep-variational-autoencoders-1912.12502"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-out-of-distribution-examples-with-in-distribution-examples-and-gram-matrices-1912.12510</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-out-of-distribution-examples-with-in-distribution-examples-and-gram-matrices-1912.12510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-out-of-distribution-examples-with-in-distribution-examples-and-gram-matrices-1912.12510"/></url>
<url><loc>https://scifaro.com/en/abs/nas-evaluation-is-frustratingly-hard-1912.12522</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nas-evaluation-is-frustratingly-hard-1912.12522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nas-evaluation-is-frustratingly-hard-1912.12522"/></url>
<url><loc>https://scifaro.com/en/abs/value-of-structural-health-information-in-partially-observable-stochastic-environments-1912.12534</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/value-of-structural-health-information-in-partially-observable-stochastic-environments-1912.12534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/value-of-structural-health-information-in-partially-observable-stochastic-environments-1912.12534"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-in-video-tracking-1912.12557</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-in-video-tracking-1912.12557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-in-video-tracking-1912.12557"/></url>
<url><loc>https://scifaro.com/en/abs/towards-unified-int8-training-for-convolutional-neural-network-1912.12607</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-unified-int8-training-for-convolutional-neural-network-1912.12607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-unified-int8-training-for-convolutional-neural-network-1912.12607"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-variational-imitation-learning-of-control-programs-1912.12612</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-variational-imitation-learning-of-control-programs-1912.12612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-variational-imitation-learning-of-control-programs-1912.12612"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-surrogate-models-for-spatial-and-visual-connectivity-1912.12616</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-surrogate-models-for-spatial-and-visual-connectivity-1912.12616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-surrogate-models-for-spatial-and-visual-connectivity-1912.12616"/></url>
<url><loc>https://scifaro.com/en/abs/speeding-up-reinforcement-learning-by-combining-attention-and-agency-features-1912.12623</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speeding-up-reinforcement-learning-by-combining-attention-and-agency-features-1912.12623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speeding-up-reinforcement-learning-by-combining-attention-and-agency-features-1912.12623"/></url>
<url><loc>https://scifaro.com/en/abs/dirichlet-uncertainty-wrappers-for-actionable-algorithm-accuracy-accountability-and-auditability-1912.12628</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dirichlet-uncertainty-wrappers-for-actionable-algorithm-accuracy-accountability-and-auditability-1912.12628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dirichlet-uncertainty-wrappers-for-actionable-algorithm-accuracy-accountability-and-auditability-1912.12628"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-policy-distillation-in-deep-reinforcement-learning-1912.12630</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-policy-distillation-in-deep-reinforcement-learning-1912.12630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-policy-distillation-in-deep-reinforcement-learning-1912.12630"/></url>
<url><loc>https://scifaro.com/en/abs/a-gentle-introduction-to-deep-learning-for-graphs-1912.12693</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gentle-introduction-to-deep-learning-for-graphs-1912.12693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gentle-introduction-to-deep-learning-for-graphs-1912.12693"/></url>
<url><loc>https://scifaro.com/en/abs/federated-variance-reduced-stochastic-gradient-descent-with-robustness-to-byzantine-attacks-1912.12716</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-variance-reduced-stochastic-gradient-descent-with-robustness-to-byzantine-attacks-1912.12716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-variance-reduced-stochastic-gradient-descent-with-robustness-to-byzantine-attacks-1912.12716"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-replay-memory-in-reinforcement-learning-with-continuous-control-1912.12719</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-replay-memory-in-reinforcement-learning-with-continuous-control-1912.12719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-replay-memory-in-reinforcement-learning-with-continuous-control-1912.12719"/></url>
<url><loc>https://scifaro.com/en/abs/multiview-representation-learning-for-a-union-of-subspaces-1912.12766</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiview-representation-learning-for-a-union-of-subspaces-1912.12766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiview-representation-learning-for-a-union-of-subspaces-1912.12766"/></url>
<url><loc>https://scifaro.com/en/abs/learning-predictive-models-from-observation-and-interaction-1912.12773</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-predictive-models-from-observation-and-interaction-1912.12773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-predictive-models-from-observation-and-interaction-1912.12773"/></url>
<url><loc>https://scifaro.com/en/abs/disentangled-representation-learning-with-wasserstein-total-correlation-1912.12818</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-representation-learning-with-wasserstein-total-correlation-1912.12818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-representation-learning-with-wasserstein-total-correlation-1912.12818"/></url>
<url><loc>https://scifaro.com/en/abs/randomly-projected-additive-gaussian-processes-for-regression-1912.12834</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomly-projected-additive-gaussian-processes-for-regression-1912.12834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomly-projected-additive-gaussian-processes-for-regression-1912.12834"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduced-local-sgd-with-lower-communication-complexity-1912.12844</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduced-local-sgd-with-lower-communication-complexity-1912.12844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduced-local-sgd-with-lower-communication-complexity-1912.12844"/></url>
<url><loc>https://scifaro.com/en/abs/pareto-multi-task-learning-1912.12854</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pareto-multi-task-learning-1912.12854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pareto-multi-task-learning-1912.12854"/></url>
<url><loc>https://scifaro.com/en/abs/searching-for-stage-wise-neural-graphs-in-the-limit-1912.12860</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/searching-for-stage-wise-neural-graphs-in-the-limit-1912.12860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/searching-for-stage-wise-neural-graphs-in-the-limit-1912.12860"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-multiple-complementary-labels-1912.12927</loc><lastmod>2022-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-multiple-complementary-labels-1912.12927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-multiple-complementary-labels-1912.12927"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-anomaly-detection-framework-for-fleet-based-condition-monitoring-of-machines-1912.12941</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-anomaly-detection-framework-for-fleet-based-condition-monitoring-of-machines-1912.12941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-anomaly-detection-framework-for-fleet-based-condition-monitoring-of-machines-1912.12941"/></url>
<url><loc>https://scifaro.com/en/abs/pontryagin-differentiable-programming-an-end-to-end-learning-and-control-framework-1912.12970</loc><lastmod>2021-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pontryagin-differentiable-programming-an-end-to-end-learning-and-control-framework-1912.12970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pontryagin-differentiable-programming-an-end-to-end-learning-and-control-framework-1912.12970"/></url>
<url><loc>https://scifaro.com/en/abs/autodiscern-rating-the-quality-of-online-health-information-with-hierarchical-encoder-attention-based-neural-networks-1912.12999</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autodiscern-rating-the-quality-of-online-health-information-with-hierarchical-encoder-attention-based-neural-networks-1912.12999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autodiscern-rating-the-quality-of-online-health-information-with-hierarchical-encoder-attention-based-neural-networks-1912.12999"/></url>
<url><loc>https://scifaro.com/en/abs/world-programs-for-model-based-learning-and-planning-in-compositional-state-and-action-spaces-1912.13007</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/world-programs-for-model-based-learning-and-planning-in-compositional-state-and-action-spaces-1912.13007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/world-programs-for-model-based-learning-and-planning-in-compositional-state-and-action-spaces-1912.13007"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-with-normalizing-flows-1912.13025</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-with-normalizing-flows-1912.13025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-with-normalizing-flows-1912.13025"/></url>
<url><loc>https://scifaro.com/en/abs/using-massive-health-insurance-claims-data-to-predict-very-high-cost-claimants-a-machine-learning-approach-1912.13032</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-massive-health-insurance-claims-data-to-predict-very-high-cost-claimants-a-machine-learning-approach-1912.13032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-massive-health-insurance-claims-data-to-predict-very-high-cost-claimants-a-machine-learning-approach-1912.13032"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-framework-for-query-efficient-active-imitation-learning-1912.13037</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-framework-for-query-efficient-active-imitation-learning-1912.13037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-framework-for-query-efficient-active-imitation-learning-1912.13037"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-trainability-and-generalization-in-deep-neural-networks-1912.13053</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-trainability-and-generalization-in-deep-neural-networks-1912.13053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-trainability-and-generalization-in-deep-neural-networks-1912.13053"/></url>
<url><loc>https://scifaro.com/en/abs/robust-federated-learning-through-representation-matching-and-adaptive-hyper-parameters-1912.13075</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-federated-learning-through-representation-matching-and-adaptive-hyper-parameters-1912.13075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-federated-learning-through-representation-matching-and-adaptive-hyper-parameters-1912.13075"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-estimation-of-long-term-average-outcomes-with-applications-to-mobile-health-1912.13088</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-estimation-of-long-term-average-outcomes-with-applications-to-mobile-health-1912.13088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-estimation-of-long-term-average-outcomes-with-applications-to-mobile-health-1912.13088"/></url>
<url><loc>https://scifaro.com/en/abs/basis-pursuit-and-orthogonal-matching-pursuit-for-subspace-preserving-recovery-theoretical-analysis-1912.13091</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/basis-pursuit-and-orthogonal-matching-pursuit-for-subspace-preserving-recovery-theoretical-analysis-1912.13091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/basis-pursuit-and-orthogonal-matching-pursuit-for-subspace-preserving-recovery-theoretical-analysis-1912.13091"/></url>
<url><loc>https://scifaro.com/en/abs/improved-structural-discovery-and-representation-learning-of-multi-agent-data-1912.13107</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-structural-discovery-and-representation-learning-of-multi-agent-data-1912.13107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-structural-discovery-and-representation-learning-of-multi-agent-data-1912.13107"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-decremental-learning-algorithms-for-broad-learning-system-1912.13169</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-decremental-learning-algorithms-for-broad-learning-system-1912.13169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-decremental-learning-algorithms-for-broad-learning-system-1912.13169"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-comparison-of-the-kddcup99-and-nsl-kdd-iot-network-intrusion-detection-datasets-through-various-machine-learning-algorithms-1912.13204</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-comparison-of-the-kddcup99-and-nsl-kdd-iot-network-intrusion-detection-datasets-through-various-machine-learning-algorithms-1912.13204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-comparison-of-the-kddcup99-and-nsl-kdd-iot-network-intrusion-detection-datasets-through-various-machine-learning-algorithms-1912.13204"/></url>
<url><loc>https://scifaro.com/en/abs/a-modern-introduction-to-online-learning-1912.13213</loc><lastmod>2026-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-modern-introduction-to-online-learning-1912.13213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-modern-introduction-to-online-learning-1912.13213"/></url>
<url><loc>https://scifaro.com/en/abs/homogeneous-online-transfer-learning-with-online-distribution-discrepancy-minimization-1912.13226</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/homogeneous-online-transfer-learning-with-online-distribution-discrepancy-minimization-1912.13226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/homogeneous-online-transfer-learning-with-online-distribution-discrepancy-minimization-1912.13226"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-semi-supervised-learning-for-fairness-using-neural-networks-1912.13230</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-semi-supervised-learning-for-fairness-using-neural-networks-1912.13230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-semi-supervised-learning-for-fairness-using-neural-networks-1912.13230"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-nas-with-factorizable-architectural-parameters-1912.13256</loc><lastmod>2020-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-nas-with-factorizable-architectural-parameters-1912.13256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-nas-with-factorizable-architectural-parameters-1912.13256"/></url>
<url><loc>https://scifaro.com/en/abs/automated-testing-for-deep-learning-systems-with-differential-behavior-criteria-1912.13258</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-testing-for-deep-learning-systems-with-differential-behavior-criteria-1912.13258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-testing-for-deep-learning-systems-with-differential-behavior-criteria-1912.13258"/></url>
<url><loc>https://scifaro.com/en/abs/a-dynamic-sampling-adaptive-sgd-method-for-machine-learning-1912.13357</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dynamic-sampling-adaptive-sgd-method-for-machine-learning-1912.13357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dynamic-sampling-adaptive-sgd-method-for-machine-learning-1912.13357"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-by-maximizing-mutual-information-in-variational-autoencoders-1912.13361</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-by-maximizing-mutual-information-in-variational-autoencoders-1912.13361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-by-maximizing-mutual-information-in-variational-autoencoders-1912.13361"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-accurate-transferability-measurement-for-heterogeneous-multivariate-data-1912.13366</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-accurate-transferability-measurement-for-heterogeneous-multivariate-data-1912.13366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-accurate-transferability-measurement-for-heterogeneous-multivariate-data-1912.13366"/></url>
<url><loc>https://scifaro.com/en/abs/learning-functionals-via-lstm-neural-networks-for-predicting-vessel-dynamics-in-extreme-sea-states-1912.13382</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-functionals-via-lstm-neural-networks-for-predicting-vessel-dynamics-in-extreme-sea-states-1912.13382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-functionals-via-lstm-neural-networks-for-predicting-vessel-dynamics-in-extreme-sea-states-1912.13382"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-by-autoencoders-for-unsupervised-anomaly-detection-1912.13384</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-by-autoencoders-for-unsupervised-anomaly-detection-1912.13384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-by-autoencoders-for-unsupervised-anomaly-detection-1912.13384"/></url>
<url><loc>https://scifaro.com/en/abs/aegr-a-simple-approach-to-gradient-reversal-in-autoencoders-for-network-anomaly-detection-1912.13387</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aegr-a-simple-approach-to-gradient-reversal-in-autoencoders-for-network-anomaly-detection-1912.13387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aegr-a-simple-approach-to-gradient-reversal-in-autoencoders-for-network-anomaly-detection-1912.13387"/></url>
<url><loc>https://scifaro.com/en/abs/classifier-chains-a-review-and-perspectives-1912.13405</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifier-chains-a-review-and-perspectives-1912.13405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifier-chains-a-review-and-perspectives-1912.13405"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-role-of-weight-sharing-during-deep-option-learning-1912.13408</loc><lastmod>2020-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-role-of-weight-sharing-during-deep-option-learning-1912.13408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-role-of-weight-sharing-during-deep-option-learning-1912.13408"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-coding-for-boosting-deep-reinforcement-learning-with-sparse-rewards-1912.13414</loc><lastmod>2020-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-coding-for-boosting-deep-reinforcement-learning-with-sparse-rewards-1912.13414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-coding-for-boosting-deep-reinforcement-learning-with-sparse-rewards-1912.13414"/></url>
<url><loc>https://scifaro.com/en/abs/model-inversion-networks-for-model-based-optimization-1912.13464</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-inversion-networks-for-model-based-optimization-1912.13464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-inversion-networks-for-model-based-optimization-1912.13464"/></url>
<url><loc>https://scifaro.com/en/abs/reward-conditioned-policies-1912.13465</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reward-conditioned-policies-1912.13465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reward-conditioned-policies-1912.13465"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-landscape-analysis-in-deep-neural-networks-eliminating-decreasing-paths-to-infinity-1912.13472</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-landscape-analysis-in-deep-neural-networks-eliminating-decreasing-paths-to-infinity-1912.13472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-landscape-analysis-in-deep-neural-networks-eliminating-decreasing-paths-to-infinity-1912.13472"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-difference-between-the-information-bottleneck-and-the-deep-information-bottleneck-1912.13480</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-difference-between-the-information-bottleneck-and-the-deep-information-bottleneck-1912.13480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-difference-between-the-information-bottleneck-and-the-deep-information-bottleneck-1912.13480"/></url>
<url><loc>https://scifaro.com/en/abs/water-supply-prediction-based-on-initialized-attention-residual-network-1912.13497</loc><lastmod>2020-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/water-supply-prediction-based-on-initialized-attention-residual-network-1912.13497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/water-supply-prediction-based-on-initialized-attention-residual-network-1912.13497"/></url>
<url><loc>https://scifaro.com/en/abs/side-tuning-a-baseline-for-network-adaptation-via-additive-side-networks-1912.13503</loc><lastmod>2020-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/side-tuning-a-baseline-for-network-adaptation-via-additive-side-networks-1912.13503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/side-tuning-a-baseline-for-network-adaptation-via-additive-side-networks-1912.13503"/></url>
<url><loc>https://scifaro.com/en/abs/computational-model-discovery-with-reinforcement-learning-2001.00008</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-model-discovery-with-reinforcement-learning-2001.00008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-model-discovery-with-reinforcement-learning-2001.00008"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-m-band-wavelet-based-mechanisms-in-machine-learning-environments-2001.00012</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-m-band-wavelet-based-mechanisms-in-machine-learning-environments-2001.00012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-m-band-wavelet-based-mechanisms-in-machine-learning-environments-2001.00012"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-resilience-of-deep-learning-for-reduced-voltage-fpgas-2001.00053</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-resilience-of-deep-learning-for-reduced-voltage-fpgas-2001.00053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-resilience-of-deep-learning-for-reduced-voltage-fpgas-2001.00053"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-training-with-simulated-approximate-multipliers-2001.00060</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-training-with-simulated-approximate-multipliers-2001.00060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-training-with-simulated-approximate-multipliers-2001.00060"/></url>
<url><loc>https://scifaro.com/en/abs/visual-evaluation-of-generative-adversarial-networks-for-time-series-data-2001.00062</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-evaluation-of-generative-adversarial-networks-for-time-series-data-2001.00062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-evaluation-of-generative-adversarial-networks-for-time-series-data-2001.00062"/></url>
<url><loc>https://scifaro.com/en/abs/privgan-protecting-gans-from-membership-inference-attacks-at-low-cost-2001.00071</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privgan-protecting-gans-from-membership-inference-attacks-at-low-cost-2001.00071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privgan-protecting-gans-from-membership-inference-attacks-at-low-cost-2001.00071"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-hierarchical-clustering-with-tree-grafting-2001.00076</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-hierarchical-clustering-with-tree-grafting-2001.00076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-hierarchical-clustering-with-tree-grafting-2001.00076"/></url>
<url><loc>https://scifaro.com/en/abs/avoiding-spurious-local-minima-in-deep-quadratic-networks-2001.00098</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avoiding-spurious-local-minima-in-deep-quadratic-networks-2001.00098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avoiding-spurious-local-minima-in-deep-quadratic-networks-2001.00098"/></url>
<url><loc>https://scifaro.com/en/abs/pac-confidence-sets-for-deep-neural-networks-via-calibrated-prediction-2001.00106</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-confidence-sets-for-deep-neural-networks-via-calibrated-prediction-2001.00106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-confidence-sets-for-deep-neural-networks-via-calibrated-prediction-2001.00106"/></url>
<url><loc>https://scifaro.com/en/abs/long-term-visitation-value-for-deep-exploration-in-sparse-reward-reinforcement-learning-2001.00119</loc><lastmod>2022-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-term-visitation-value-for-deep-exploration-in-sparse-reward-reinforcement-learning-2001.00119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-term-visitation-value-for-deep-exploration-in-sparse-reward-reinforcement-learning-2001.00119"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-goal-distance-gradient-2001.00127</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-goal-distance-gradient-2001.00127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-goal-distance-gradient-2001.00127"/></url>
<url><loc>https://scifaro.com/en/abs/patdnn-achieving-real-time-dnn-execution-on-mobile-devices-with-pattern-based-weight-pruning-2001.00138</loc><lastmod>2020-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/patdnn-achieving-real-time-dnn-execution-on-mobile-devices-with-pattern-based-weight-pruning-2001.00138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/patdnn-achieving-real-time-dnn-execution-on-mobile-devices-with-pattern-based-weight-pruning-2001.00138"/></url>
<url><loc>https://scifaro.com/en/abs/dual-adversarial-domain-adaptation-2001.00153</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-adversarial-domain-adaptation-2001.00153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-adversarial-domain-adaptation-2001.00153"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-emotion-recognizing-with-multiple-modal-physiological-signals-2001.00191</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-emotion-recognizing-with-multiple-modal-physiological-signals-2001.00191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-emotion-recognizing-with-multiple-modal-physiological-signals-2001.00191"/></url>
<url><loc>https://scifaro.com/en/abs/histogram-layers-for-texture-analysis-2001.00215</loc><lastmod>2021-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/histogram-layers-for-texture-analysis-2001.00215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/histogram-layers-for-texture-analysis-2001.00215"/></url>
<url><loc>https://scifaro.com/en/abs/lossless-compression-of-deep-neural-networks-2001.00218</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lossless-compression-of-deep-neural-networks-2001.00218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lossless-compression-of-deep-neural-networks-2001.00218"/></url>
<url><loc>https://scifaro.com/en/abs/meta-reinforcement-learning-with-autonomous-inference-of-subtask-dependencies-2001.00248</loc><lastmod>2020-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-reinforcement-learning-with-autonomous-inference-of-subtask-dependencies-2001.00248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-reinforcement-learning-with-autonomous-inference-of-subtask-dependencies-2001.00248"/></url>
<url><loc>https://scifaro.com/en/abs/a-comprehensive-and-modularized-statistical-framework-for-gradient-norm-equality-in-deep-neural-networks-2001.00254</loc><lastmod>2020-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comprehensive-and-modularized-statistical-framework-for-gradient-norm-equality-in-deep-neural-networks-2001.00254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comprehensive-and-modularized-statistical-framework-for-gradient-norm-equality-in-deep-neural-networks-2001.00254"/></url>
<url><loc>https://scifaro.com/en/abs/fast-estimation-of-information-theoretic-learning-descriptors-using-explicit-inner-product-spaces-2001.00265</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-estimation-of-information-theoretic-learning-descriptors-using-explicit-inner-product-spaces-2001.00265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-estimation-of-information-theoretic-learning-descriptors-using-explicit-inner-product-spaces-2001.00265"/></url>
<url><loc>https://scifaro.com/en/abs/options-of-interest-temporal-abstraction-with-interest-functions-2001.00271</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/options-of-interest-temporal-abstraction-with-interest-functions-2001.00271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/options-of-interest-temporal-abstraction-with-interest-functions-2001.00271"/></url>
<url><loc>https://scifaro.com/en/abs/motivic-clustering-schemes-for-directed-graphs-2001.00278</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/motivic-clustering-schemes-for-directed-graphs-2001.00278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/motivic-clustering-schemes-for-directed-graphs-2001.00278"/></url>
<url><loc>https://scifaro.com/en/abs/online-similarity-learning-with-feedback-for-invoice-line-item-matching-2001.00288</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-similarity-learning-with-feedback-for-invoice-line-item-matching-2001.00288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-similarity-learning-with-feedback-for-invoice-line-item-matching-2001.00288"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-learning-graph-representations-2001.00293</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-learning-graph-representations-2001.00293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-learning-graph-representations-2001.00293"/></url>
<url><loc>https://scifaro.com/en/abs/athena-a-framework-based-on-diverse-weak-defenses-for-building-adversarial-defense-2001.00308</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/athena-a-framework-based-on-diverse-weak-defenses-for-building-adversarial-defense-2001.00308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/athena-a-framework-based-on-diverse-weak-defenses-for-building-adversarial-defense-2001.00308"/></url>
<url><loc>https://scifaro.com/en/abs/visual-machine-learning-insight-through-eigenvectors-chladni-patterns-and-community-detection-in-2d-particulate-structures-2001.00345</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-machine-learning-insight-through-eigenvectors-chladni-patterns-and-community-detection-in-2d-particulate-structures-2001.00345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-machine-learning-insight-through-eigenvectors-chladni-patterns-and-community-detection-in-2d-particulate-structures-2001.00345"/></url>
<url><loc>https://scifaro.com/en/abs/kernelized-support-tensor-train-machines-2001.00360</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernelized-support-tensor-train-machines-2001.00360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernelized-support-tensor-train-machines-2001.00360"/></url>
<url><loc>https://scifaro.com/en/abs/inter-and-intra-domain-knowledge-transfer-for-related-tasks-in-deep-character-recognition-2001.00448</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inter-and-intra-domain-knowledge-transfer-for-related-tasks-in-deep-character-recognition-2001.00448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inter-and-intra-domain-knowledge-transfer-for-related-tasks-in-deep-character-recognition-2001.00448"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-discrete-reinforcement-learning-for-hybrid-control-in-robotics-2001.00449</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-discrete-reinforcement-learning-for-hybrid-control-in-robotics-2001.00449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-discrete-reinforcement-learning-for-hybrid-control-in-robotics-2001.00449"/></url>
<url><loc>https://scifaro.com/en/abs/reasoning-on-knowledge-graphs-with-debate-dynamics-2001.00461</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reasoning-on-knowledge-graphs-with-debate-dynamics-2001.00461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reasoning-on-knowledge-graphs-with-debate-dynamics-2001.00461"/></url>
<url><loc>https://scifaro.com/en/abs/thresholds-of-descending-algorithms-in-inference-problems-2001.00479</loc><lastmod>2020-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thresholds-of-descending-algorithms-in-inference-problems-2001.00479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thresholds-of-descending-algorithms-in-inference-problems-2001.00479"/></url>
<url><loc>https://scifaro.com/en/abs/reject-illegal-inputs-with-generative-classifier-derived-from-any-discriminative-classifier-2001.00483</loc><lastmod>2020-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reject-illegal-inputs-with-generative-classifier-derived-from-any-discriminative-classifier-2001.00483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reject-illegal-inputs-with-generative-classifier-derived-from-any-discriminative-classifier-2001.00483"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-based-out-of-distribution-classification-in-deep-reinforcement-learning-2001.00496</loc><lastmod>2020-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-based-out-of-distribution-classification-in-deep-reinforcement-learning-2001.00496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-based-out-of-distribution-classification-in-deep-reinforcement-learning-2001.00496"/></url>
<url><loc>https://scifaro.com/en/abs/joint-goal-and-strategy-inference-across-heterogeneous-demonstrators-via-reward-network-distillation-2001.00503</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-goal-and-strategy-inference-across-heterogeneous-demonstrators-via-reward-network-distillation-2001.00503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-goal-and-strategy-inference-across-heterogeneous-demonstrators-via-reward-network-distillation-2001.00503"/></url>
<url><loc>https://scifaro.com/en/abs/non-parametric-learning-of-gaifman-models-2001.00528</loc><lastmod>2020-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-parametric-learning-of-gaifman-models-2001.00528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-parametric-learning-of-gaifman-models-2001.00528"/></url>
<url><loc>https://scifaro.com/en/abs/toward-optimal-adversarial-policies-in-the-multiplicative-learning-system-with-a-malicious-expert-2001.00543</loc><lastmod>2020-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-optimal-adversarial-policies-in-the-multiplicative-learning-system-with-a-malicious-expert-2001.00543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-optimal-adversarial-policies-in-the-multiplicative-learning-system-with-a-malicious-expert-2001.00543"/></url>
<url><loc>https://scifaro.com/en/abs/robust-marine-buoy-placement-for-ship-detection-using-dropout-k-means-2001.00564</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-marine-buoy-placement-for-ship-detection-using-dropout-k-means-2001.00564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-marine-buoy-placement-for-ship-detection-using-dropout-k-means-2001.00564"/></url>
<url><loc>https://scifaro.com/en/abs/the-real-world-weight-cross-entropy-loss-function-modeling-the-costs-of-mislabeling-2001.00570</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-real-world-weight-cross-entropy-loss-function-modeling-the-costs-of-mislabeling-2001.00570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-real-world-weight-cross-entropy-loss-function-modeling-the-costs-of-mislabeling-2001.00570"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-framework-for-topic-structure-using-laughter-occurrences-2001.00573</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-framework-for-topic-structure-using-laughter-occurrences-2001.00573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-framework-for-topic-structure-using-laughter-occurrences-2001.00573"/></url>
<url><loc>https://scifaro.com/en/abs/dawson-a-domain-adaptive-few-shot-generation-framework-2001.00576</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dawson-a-domain-adaptive-few-shot-generation-framework-2001.00576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dawson-a-domain-adaptive-few-shot-generation-framework-2001.00576"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-learning-of-generative-spin-glasses-with-normalizing-flows-2001.00585</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-learning-of-generative-spin-glasses-with-normalizing-flows-2001.00585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-learning-of-generative-spin-glasses-with-normalizing-flows-2001.00585"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-gender-age-prediction-of-tumblr-users-2001.00594</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-gender-age-prediction-of-tumblr-users-2001.00594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-gender-age-prediction-of-tumblr-users-2001.00594"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-smooth-games-by-manipulating-spectral-shapes-2001.00602</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-smooth-games-by-manipulating-spectral-shapes-2001.00602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-smooth-games-by-manipulating-spectral-shapes-2001.00602"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-reinforcement-learning-with-deep-attention-convolutional-neural-networks-2001.00605</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-reinforcement-learning-with-deep-attention-convolutional-neural-networks-2001.00605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-reinforcement-learning-with-deep-attention-convolutional-neural-networks-2001.00605"/></url>
<url><loc>https://scifaro.com/en/abs/behavdt-a-behavioral-decision-tree-learning-to-build-user-centric-context-aware-predictive-model-2001.00621</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/behavdt-a-behavioral-decision-tree-learning-to-build-user-centric-context-aware-predictive-model-2001.00621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/behavdt-a-behavioral-decision-tree-learning-to-build-user-centric-context-aware-predictive-model-2001.00621"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-online-feature-selection-for-cost-sensitive-medical-diagnosis-2001.00626</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-online-feature-selection-for-cost-sensitive-medical-diagnosis-2001.00626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-online-feature-selection-for-cost-sensitive-medical-diagnosis-2001.00626"/></url>
<url><loc>https://scifaro.com/en/abs/a-loss-function-for-causal-machine-learning-2001.00629</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-loss-function-for-causal-machine-learning-2001.00629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-loss-function-for-causal-machine-learning-2001.00629"/></url>
<url><loc>https://scifaro.com/en/abs/on-large-scale-dynamic-topic-modeling-with-nonnegative-cp-tensor-decomposition-2001.00631</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-large-scale-dynamic-topic-modeling-with-nonnegative-cp-tensor-decomposition-2001.00631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-large-scale-dynamic-topic-modeling-with-nonnegative-cp-tensor-decomposition-2001.00631"/></url>
<url><loc>https://scifaro.com/en/abs/academic-performance-estimation-with-attention-based-graph-convolutional-networks-2001.00632</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/academic-performance-estimation-with-attention-based-graph-convolutional-networks-2001.00632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/academic-performance-estimation-with-attention-based-graph-convolutional-networks-2001.00632"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-neural-network-based-topology-optimization-cnn-to-by-estimating-sensitivity-of-compliance-from-material-distribution-2001.00635</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-neural-network-based-topology-optimization-cnn-to-by-estimating-sensitivity-of-compliance-from-material-distribution-2001.00635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-neural-network-based-topology-optimization-cnn-to-by-estimating-sensitivity-of-compliance-from-material-distribution-2001.00635"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-task-embedding-for-few-shot-bayesian-optimization-2001.00637</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-task-embedding-for-few-shot-bayesian-optimization-2001.00637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-task-embedding-for-few-shot-bayesian-optimization-2001.00637"/></url>
<url><loc>https://scifaro.com/en/abs/auditing-and-debugging-deep-learning-models-via-decision-boundaries-individual-level-and-group-level-analysis-2001.00682</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auditing-and-debugging-deep-learning-models-via-decision-boundaries-individual-level-and-group-level-analysis-2001.00682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auditing-and-debugging-deep-learning-models-via-decision-boundaries-individual-level-and-group-level-analysis-2001.00682"/></url>
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<url><loc>https://scifaro.com/en/abs/fractional-skipping-towards-finer-grained-dynamic-cnn-inference-2001.00705</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fractional-skipping-towards-finer-grained-dynamic-cnn-inference-2001.00705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fractional-skipping-towards-finer-grained-dynamic-cnn-inference-2001.00705"/></url>
<url><loc>https://scifaro.com/en/abs/signatory-differentiable-computations-of-the-signature-and-logsignature-transforms-on-both-cpu-and-gpu-2001.00706</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signatory-differentiable-computations-of-the-signature-and-logsignature-transforms-on-both-cpu-and-gpu-2001.00706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signatory-differentiable-computations-of-the-signature-and-logsignature-transforms-on-both-cpu-and-gpu-2001.00706"/></url>
<url><loc>https://scifaro.com/en/abs/automated-relational-meta-learning-2001.00745</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-relational-meta-learning-2001.00745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-relational-meta-learning-2001.00745"/></url>
<url><loc>https://scifaro.com/en/abs/stability-and-memory-loss-go-hand-in-hand-three-results-in-dynamics-computation-2001.00766</loc><lastmod>2020-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-and-memory-loss-go-hand-in-hand-three-results-in-dynamics-computation-2001.00766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-and-memory-loss-go-hand-in-hand-three-results-in-dynamics-computation-2001.00766"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-wireless-systems-using-unsupervised-and-reinforced-unsupervised-deep-learning-2001.00784</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-wireless-systems-using-unsupervised-and-reinforced-unsupervised-deep-learning-2001.00784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-wireless-systems-using-unsupervised-and-reinforced-unsupervised-deep-learning-2001.00784"/></url>
<url><loc>https://scifaro.com/en/abs/intelligent-roundabout-insertion-using-deep-reinforcement-learning-2001.00786</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intelligent-roundabout-insertion-using-deep-reinforcement-learning-2001.00786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intelligent-roundabout-insertion-using-deep-reinforcement-learning-2001.00786"/></url>
<url><loc>https://scifaro.com/en/abs/making-sense-of-reinforcement-learning-and-probabilistic-inference-2001.00805</loc><lastmod>2020-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-sense-of-reinforcement-learning-and-probabilistic-inference-2001.00805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-sense-of-reinforcement-learning-and-probabilistic-inference-2001.00805"/></url>
<url><loc>https://scifaro.com/en/abs/computing-l1-straight-line-fits-to-data-part-1-2001.00813</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-l1-straight-line-fits-to-data-part-1-2001.00813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-l1-straight-line-fits-to-data-part-1-2001.00813"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-democratizing-ai-2001.00818</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-democratizing-ai-2001.00818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-democratizing-ai-2001.00818"/></url>
<url><loc>https://scifaro.com/en/abs/aleatoric-and-epistemic-uncertainty-with-random-forests-2001.00893</loc><lastmod>2020-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aleatoric-and-epistemic-uncertainty-with-random-forests-2001.00893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aleatoric-and-epistemic-uncertainty-with-random-forests-2001.00893"/></url>
<url><loc>https://scifaro.com/en/abs/learning-accurate-integer-transformer-machine-translation-models-2001.00926</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-accurate-integer-transformer-machine-translation-models-2001.00926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-accurate-integer-transformer-machine-translation-models-2001.00926"/></url>
<url><loc>https://scifaro.com/en/abs/relative-flatness-and-generalization-2001.00939</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-flatness-and-generalization-2001.00939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-flatness-and-generalization-2001.00939"/></url>
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<url><loc>https://scifaro.com/en/abs/empirical-studies-on-the-properties-of-linear-regions-in-deep-neural-networks-2001.01072</loc><lastmod>2020-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-studies-on-the-properties-of-linear-regions-in-deep-neural-networks-2001.01072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-studies-on-the-properties-of-linear-regions-in-deep-neural-networks-2001.01072"/></url>
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<url><loc>https://scifaro.com/en/abs/mushroomrl-simplifying-reinforcement-learning-research-2001.01102</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mushroomrl-simplifying-reinforcement-learning-research-2001.01102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mushroomrl-simplifying-reinforcement-learning-research-2001.01102"/></url>
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<url><loc>https://scifaro.com/en/abs/a-system-for-real-time-interactive-analysis-of-deep-learning-training-2001.01215</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-system-for-real-time-interactive-analysis-of-deep-learning-training-2001.01215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-system-for-real-time-interactive-analysis-of-deep-learning-training-2001.01215"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-log-file-parsing-using-hidden-markov-models-2001.01216</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-log-file-parsing-using-hidden-markov-models-2001.01216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-log-file-parsing-using-hidden-markov-models-2001.01216"/></url>
<url><loc>https://scifaro.com/en/abs/from-learning-to-meta-learning-reduced-training-overhead-and-complexity-for-communication-systems-2001.01227</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-learning-to-meta-learning-reduced-training-overhead-and-complexity-for-communication-systems-2001.01227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-learning-to-meta-learning-reduced-training-overhead-and-complexity-for-communication-systems-2001.01227"/></url>
<url><loc>https://scifaro.com/en/abs/design-of-capacity-approaching-low-density-parity-check-codes-using-recurrent-neural-networks-2001.01249</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/design-of-capacity-approaching-low-density-parity-check-codes-using-recurrent-neural-networks-2001.01249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/design-of-capacity-approaching-low-density-parity-check-codes-using-recurrent-neural-networks-2001.01249"/></url>
<url><loc>https://scifaro.com/en/abs/the-troublesome-kernel-on-hallucinations-no-free-lunches-and-the-accuracy-stability-trade-off-in-inverse-problems-2001.01258</loc><lastmod>2024-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-troublesome-kernel-on-hallucinations-no-free-lunches-and-the-accuracy-stability-trade-off-in-inverse-problems-2001.01258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-troublesome-kernel-on-hallucinations-no-free-lunches-and-the-accuracy-stability-trade-off-in-inverse-problems-2001.01258"/></url>
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<url><loc>https://scifaro.com/en/abs/elastic-bulk-synchronous-parallel-model-for-distributed-deep-learning-2001.01347</loc><lastmod>2020-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elastic-bulk-synchronous-parallel-model-for-distributed-deep-learning-2001.01347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elastic-bulk-synchronous-parallel-model-for-distributed-deep-learning-2001.01347"/></url>
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<url><loc>https://scifaro.com/en/abs/a-boolean-task-algebra-for-reinforcement-learning-2001.01394</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-boolean-task-algebra-for-reinforcement-learning-2001.01394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-boolean-task-algebra-for-reinforcement-learning-2001.01394"/></url>
<url><loc>https://scifaro.com/en/abs/mel-spectrogram-augmentation-for-sequence-to-sequence-voice-conversion-2001.01401</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mel-spectrogram-augmentation-for-sequence-to-sequence-voice-conversion-2001.01401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mel-spectrogram-augmentation-for-sequence-to-sequence-voice-conversion-2001.01401"/></url>
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<url><loc>https://scifaro.com/en/abs/scalable-hybrid-hmm-with-gaussian-process-emission-for-sequential-time-series-data-clustering-2001.01917</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-hybrid-hmm-with-gaussian-process-emission-for-sequential-time-series-data-clustering-2001.01917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-hybrid-hmm-with-gaussian-process-emission-for-sequential-time-series-data-clustering-2001.01917"/></url>
<url><loc>https://scifaro.com/en/abs/feddane-a-federated-newton-type-method-2001.01920</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feddane-a-federated-newton-type-method-2001.01920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feddane-a-federated-newton-type-method-2001.01920"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-weight-activation-training-2001.01969</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-weight-activation-training-2001.01969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-weight-activation-training-2001.01969"/></url>
<url><loc>https://scifaro.com/en/abs/softmax-based-classification-is-k-means-clustering-formal-proof-consequences-for-adversarial-attacks-and-improvement-through-centroid-based-tailoring-2001.01987</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/softmax-based-classification-is-k-means-clustering-formal-proof-consequences-for-adversarial-attacks-and-improvement-through-centroid-based-tailoring-2001.01987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/softmax-based-classification-is-k-means-clustering-formal-proof-consequences-for-adversarial-attacks-and-improvement-through-centroid-based-tailoring-2001.01987"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-drug-synergy-by-ensemble-learning-2001.01997</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-drug-synergy-by-ensemble-learning-2001.01997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-drug-synergy-by-ensemble-learning-2001.01997"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-mri-hardware-failures-based-on-image-features-using-time-series-classification-2001.02127</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-mri-hardware-failures-based-on-image-features-using-time-series-classification-2001.02127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-mri-hardware-failures-based-on-image-features-using-time-series-classification-2001.02127"/></url>
<url><loc>https://scifaro.com/en/abs/parot-a-practical-framework-for-robust-deep-neural-network-training-2001.02152</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parot-a-practical-framework-for-robust-deep-neural-network-training-2001.02152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parot-a-practical-framework-for-robust-deep-neural-network-training-2001.02152"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-model-predictive-q-learning-2001.02153</loc><lastmod>2020-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-model-predictive-q-learning-2001.02153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-model-predictive-q-learning-2001.02153"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-mean-shift-with-triangular-kernel-profile-2001.02165</loc><lastmod>2020-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-mean-shift-with-triangular-kernel-profile-2001.02165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-mean-shift-with-triangular-kernel-profile-2001.02165"/></url>
<url><loc>https://scifaro.com/en/abs/generating-semantic-adversarial-examples-via-feature-manipulation-2001.02297</loc><lastmod>2022-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-semantic-adversarial-examples-via-feature-manipulation-2001.02297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-semantic-adversarial-examples-via-feature-manipulation-2001.02297"/></url>
<url><loc>https://scifaro.com/en/abs/visual-semantic-graph-attention-networks-for-human-object-interaction-detection-2001.02302</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-semantic-graph-attention-networks-for-human-object-interaction-detection-2001.02302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-semantic-graph-attention-networks-for-human-object-interaction-detection-2001.02302"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-weight-averaging-in-parallel-large-batch-training-that-generalizes-well-2001.02312</loc><lastmod>2020-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-weight-averaging-in-parallel-large-batch-training-that-generalizes-well-2001.02312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-weight-averaging-in-parallel-large-batch-training-that-generalizes-well-2001.02312"/></url>
<url><loc>https://scifaro.com/en/abs/on-thompson-sampling-for-smoother-than-lipschitz-bandits-2001.02323</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-thompson-sampling-for-smoother-than-lipschitz-bandits-2001.02323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-thompson-sampling-for-smoother-than-lipschitz-bandits-2001.02323"/></url>
<url><loc>https://scifaro.com/en/abs/the-past-and-present-of-imitation-learning-a-citation-chain-study-2001.02328</loc><lastmod>2020-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-past-and-present-of-imitation-learning-a-citation-chain-study-2001.02328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-past-and-present-of-imitation-learning-a-citation-chain-study-2001.02328"/></url>
<url><loc>https://scifaro.com/en/abs/macer-attack-free-and-scalable-robust-training-via-maximizing-certified-radius-2001.02378</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/macer-attack-free-and-scalable-robust-training-via-maximizing-certified-radius-2001.02378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/macer-attack-free-and-scalable-robust-training-via-maximizing-certified-radius-2001.02378"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-online-learning-algorithm-for-general-fuzzy-min-max-neural-network-2001.02391</loc><lastmod>2020-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-online-learning-algorithm-for-general-fuzzy-min-max-neural-network-2001.02391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-online-learning-algorithm-for-general-fuzzy-min-max-neural-network-2001.02391"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-networks-with-dense-connectivity-2001.02394</loc><lastmod>2020-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-networks-with-dense-connectivity-2001.02394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-networks-with-dense-connectivity-2001.02394"/></url>
<url><loc>https://scifaro.com/en/abs/eeg-based-drowsiness-estimation-for-driving-safety-using-deep-q-learning-2001.02399</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eeg-based-drowsiness-estimation-for-driving-safety-using-deep-q-learning-2001.02399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eeg-based-drowsiness-estimation-for-driving-safety-using-deep-q-learning-2001.02399"/></url>
<url><loc>https://scifaro.com/en/abs/space-unsupervised-object-oriented-scene-representation-via-spatial-attention-and-decomposition-2001.02407</loc><lastmod>2020-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/space-unsupervised-object-oriented-scene-representation-via-spatial-attention-and-decomposition-2001.02407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/space-unsupervised-object-oriented-scene-representation-via-spatial-attention-and-decomposition-2001.02407"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-boosting-on-decision-trees-for-mortality-prediction-in-transcatheter-aortic-valve-implantation-2001.02431</loc><lastmod>2020-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-boosting-on-decision-trees-for-mortality-prediction-in-transcatheter-aortic-valve-implantation-2001.02431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-boosting-on-decision-trees-for-mortality-prediction-in-transcatheter-aortic-valve-implantation-2001.02431"/></url>
<url><loc>https://scifaro.com/en/abs/a-nonparametric-off-policy-policy-gradient-2001.02435</loc><lastmod>2020-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nonparametric-off-policy-policy-gradient-2001.02435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nonparametric-off-policy-policy-gradient-2001.02435"/></url>
<url><loc>https://scifaro.com/en/abs/to-transfer-or-not-to-transfer-misclassification-attacks-against-transfer-learned-text-classifiers-2001.02438</loc><lastmod>2020-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-transfer-or-not-to-transfer-misclassification-attacks-against-transfer-learned-text-classifiers-2001.02438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-transfer-or-not-to-transfer-misclassification-attacks-against-transfer-learned-text-classifiers-2001.02438"/></url>
<url><loc>https://scifaro.com/en/abs/on-interpretability-of-artificial-neural-networks-a-survey-2001.02522</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-interpretability-of-artificial-neural-networks-a-survey-2001.02522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-interpretability-of-artificial-neural-networks-a-survey-2001.02522"/></url>
<url><loc>https://scifaro.com/en/abs/a-group-norm-regularized-factorization-model-for-subspace-segmentation-2001.02568</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-group-norm-regularized-factorization-model-for-subspace-segmentation-2001.02568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-group-norm-regularized-factorization-model-for-subspace-segmentation-2001.02568"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dynamic-and-personalized-comorbidity-networks-from-event-data-using-deep-diffusion-processes-2001.02585</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dynamic-and-personalized-comorbidity-networks-from-event-data-using-deep-diffusion-processes-2001.02585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dynamic-and-personalized-comorbidity-networks-from-event-data-using-deep-diffusion-processes-2001.02585"/></url>
<url><loc>https://scifaro.com/en/abs/idlg-improved-deep-leakage-from-gradients-2001.02610</loc><lastmod>2020-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/idlg-improved-deep-leakage-from-gradients-2001.02610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/idlg-improved-deep-leakage-from-gradients-2001.02610"/></url>
<url><loc>https://scifaro.com/en/abs/sample-based-distributional-policy-gradient-2001.02652</loc><lastmod>2020-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-based-distributional-policy-gradient-2001.02652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-based-distributional-policy-gradient-2001.02652"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-generative-models-using-denoising-density-estimators-2001.02728</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-generative-models-using-denoising-density-estimators-2001.02728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-generative-models-using-denoising-density-estimators-2001.02728"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-deep-convolutional-candlestick-learner-2001.02767</loc><lastmod>2020-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-deep-convolutional-candlestick-learner-2001.02767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-deep-convolutional-candlestick-learner-2001.02767"/></url>
<url><loc>https://scifaro.com/en/abs/lifted-hybrid-variational-inference-2001.02773</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifted-hybrid-variational-inference-2001.02773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifted-hybrid-variational-inference-2001.02773"/></url>
<url><loc>https://scifaro.com/en/abs/least-squares-binary-quantization-of-neural-networks-2001.02786</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/least-squares-binary-quantization-of-neural-networks-2001.02786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/least-squares-binary-quantization-of-neural-networks-2001.02786"/></url>
<url><loc>https://scifaro.com/en/abs/on-computation-and-generalization-of-generative-adversarial-imitation-learning-2001.02792</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-computation-and-generalization-of-generative-adversarial-imitation-learning-2001.02792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-computation-and-generalization-of-generative-adversarial-imitation-learning-2001.02792"/></url>
<url><loc>https://scifaro.com/en/abs/self-guided-approximate-linear-programs-2001.02798</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-guided-approximate-linear-programs-2001.02798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-guided-approximate-linear-programs-2001.02798"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-study-on-crime-in-denver-city-based-on-machine-learning-and-data-mining-2001.02802</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-study-on-crime-in-denver-city-based-on-machine-learning-and-data-mining-2001.02802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-study-on-crime-in-denver-city-based-on-machine-learning-and-data-mining-2001.02802"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-coupled-tensor-completion-2001.02810</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-coupled-tensor-completion-2001.02810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-coupled-tensor-completion-2001.02810"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-soft-actor-critic-off-policy-reinforcement-learning-for-addressing-value-estimation-errors-2001.02811</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-soft-actor-critic-off-policy-reinforcement-learning-for-addressing-value-estimation-errors-2001.02811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-soft-actor-critic-off-policy-reinforcement-learning-for-addressing-value-estimation-errors-2001.02811"/></url>
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<url><loc>https://scifaro.com/en/abs/population-guided-parallel-policy-search-for-reinforcement-learning-2001.02907</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/population-guided-parallel-policy-search-for-reinforcement-learning-2001.02907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/population-guided-parallel-policy-search-for-reinforcement-learning-2001.02907"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-deep-learning-computation-for-geo-distributed-medical-big-data-platforms-2001.02932</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-deep-learning-computation-for-geo-distributed-medical-big-data-platforms-2001.02932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-deep-learning-computation-for-geo-distributed-medical-big-data-platforms-2001.02932"/></url>
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<url><loc>https://scifaro.com/en/abs/performance-oriented-neural-architecture-search-2001.02976</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-oriented-neural-architecture-search-2001.02976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-oriented-neural-architecture-search-2001.02976"/></url>
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<url><loc>https://scifaro.com/en/abs/guidelines-for-enhancing-data-locality-in-selected-machine-learning-algorithms-2001.03000</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guidelines-for-enhancing-data-locality-in-selected-machine-learning-algorithms-2001.03000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guidelines-for-enhancing-data-locality-in-selected-machine-learning-algorithms-2001.03000"/></url>
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<url><loc>https://scifaro.com/en/abs/deep-time-stream-framework-for-click-through-rate-prediction-by-tracking-interest-evolution-2001.03025</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-time-stream-framework-for-click-through-rate-prediction-by-tracking-interest-evolution-2001.03025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-time-stream-framework-for-click-through-rate-prediction-by-tracking-interest-evolution-2001.03025"/></url>
<url><loc>https://scifaro.com/en/abs/deep-network-approximation-for-smooth-functions-2001.03040</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-network-approximation-for-smooth-functions-2001.03040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-network-approximation-for-smooth-functions-2001.03040"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-prediction-matching-examples-in-neural-networks-a-probabilistic-programming-approach-2001.03076</loc><lastmod>2020-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-prediction-matching-examples-in-neural-networks-a-probabilistic-programming-approach-2001.03076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-prediction-matching-examples-in-neural-networks-a-probabilistic-programming-approach-2001.03076"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-discriminative-sparse-pca-with-adaptive-neighbors-for-dimensionality-reduction-2001.03103</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-discriminative-sparse-pca-with-adaptive-neighbors-for-dimensionality-reduction-2001.03103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-discriminative-sparse-pca-with-adaptive-neighbors-for-dimensionality-reduction-2001.03103"/></url>
<url><loc>https://scifaro.com/en/abs/the-counterfactual-chi-gan-2001.03115</loc><lastmod>2020-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-counterfactual-chi-gan-2001.03115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-counterfactual-chi-gan-2001.03115"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-edge-intelligence-in-the-making-a-collaborative-learning-framework-via-federated-meta-learning-2001.03229</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-edge-intelligence-in-the-making-a-collaborative-learning-framework-via-federated-meta-learning-2001.03229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-edge-intelligence-in-the-making-a-collaborative-learning-framework-via-federated-meta-learning-2001.03229"/></url>
<url><loc>https://scifaro.com/en/abs/campfire-compressible-regularization-free-structured-sparse-training-for-hardware-accelerators-2001.03253</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/campfire-compressible-regularization-free-structured-sparse-training-for-hardware-accelerators-2001.03253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/campfire-compressible-regularization-free-structured-sparse-training-for-hardware-accelerators-2001.03253"/></url>
<url><loc>https://scifaro.com/en/abs/internal-representation-dynamics-and-geometry-in-recurrent-neural-networks-2001.03255</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/internal-representation-dynamics-and-geometry-in-recurrent-neural-networks-2001.03255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/internal-representation-dynamics-and-geometry-in-recurrent-neural-networks-2001.03255"/></url>
<url><loc>https://scifaro.com/en/abs/backdoor-attacks-against-transfer-learning-with-pre-trained-deep-learning-models-2001.03274</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backdoor-attacks-against-transfer-learning-with-pre-trained-deep-learning-models-2001.03274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backdoor-attacks-against-transfer-learning-with-pre-trained-deep-learning-models-2001.03274"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-k-means-clustering-via-nonlinear-programming-2001.03286</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-k-means-clustering-via-nonlinear-programming-2001.03286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-k-means-clustering-via-nonlinear-programming-2001.03286"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-memory-management-for-deep-neural-net-inference-2001.03288</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-memory-management-for-deep-neural-net-inference-2001.03288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-memory-management-for-deep-neural-net-inference-2001.03288"/></url>
<url><loc>https://scifaro.com/en/abs/guess-first-to-enable-better-compression-and-adversarial-robustness-2001.03311</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guess-first-to-enable-better-compression-and-adversarial-robustness-2001.03311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guess-first-to-enable-better-compression-and-adversarial-robustness-2001.03311"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-anomaly-detection-for-iot-data-in-hierarchical-edge-computing-2001.03314</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-anomaly-detection-for-iot-data-in-hierarchical-edge-computing-2001.03314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-anomaly-detection-for-iot-data-in-hierarchical-edge-computing-2001.03314"/></url>
<url><loc>https://scifaro.com/en/abs/temporally-folded-convolutional-neural-networks-for-sequence-forecasting-2001.03340</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporally-folded-convolutional-neural-networks-for-sequence-forecasting-2001.03340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporally-folded-convolutional-neural-networks-for-sequence-forecasting-2001.03340"/></url>
<url><loc>https://scifaro.com/en/abs/learning-credit-assignment-2001.03354</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-credit-assignment-2001.03354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-credit-assignment-2001.03354"/></url>
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<url><loc>https://scifaro.com/en/abs/microbatchgan-stimulating-diversity-with-multi-adversarial-discrimination-2001.03376</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/microbatchgan-stimulating-diversity-with-multi-adversarial-discrimination-2001.03376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/microbatchgan-stimulating-diversity-with-multi-adversarial-discrimination-2001.03376"/></url>
<url><loc>https://scifaro.com/en/abs/supaid-a-rule-mining-based-method-for-automatic-rollout-decision-aid-for-supervisors-in-fleet-management-systems-2001.03386</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supaid-a-rule-mining-based-method-for-automatic-rollout-decision-aid-for-supervisors-in-fleet-management-systems-2001.03386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supaid-a-rule-mining-based-method-for-automatic-rollout-decision-aid-for-supervisors-in-fleet-management-systems-2001.03386"/></url>
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<url><loc>https://scifaro.com/en/abs/explaining-the-explainer-a-first-theoretical-analysis-of-lime-2001.03447</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-the-explainer-a-first-theoretical-analysis-of-lime-2001.03447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-the-explainer-a-first-theoretical-analysis-of-lime-2001.03447"/></url>
<url><loc>https://scifaro.com/en/abs/what-is-the-value-of-data-on-mathematical-methods-for-data-quality-estimation-2001.03464</loc><lastmod>2020-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-is-the-value-of-data-on-mathematical-methods-for-data-quality-estimation-2001.03464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-is-the-value-of-data-on-mathematical-methods-for-data-quality-estimation-2001.03464"/></url>
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<url><loc>https://scifaro.com/en/abs/autoencoding-undirected-molecular-graphs-with-neural-networks-2001.03517</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoding-undirected-molecular-graphs-with-neural-networks-2001.03517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoding-undirected-molecular-graphs-with-neural-networks-2001.03517"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-approach-towards-prediction-of-faults-in-wind-turbines-2001.03612</loc><lastmod>2020-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-approach-towards-prediction-of-faults-in-wind-turbines-2001.03612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-approach-towards-prediction-of-faults-in-wind-turbines-2001.03612"/></url>
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<url><loc>https://scifaro.com/en/abs/exploiting-unlabeled-data-in-smart-cities-using-federated-learning-2001.04030</loc><lastmod>2020-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-unlabeled-data-in-smart-cities-using-federated-learning-2001.04030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-unlabeled-data-in-smart-cities-using-federated-learning-2001.04030"/></url>
<url><loc>https://scifaro.com/en/abs/relational-state-space-model-for-stochastic-multi-object-systems-2001.04050</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-state-space-model-for-stochastic-multi-object-systems-2001.04050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-state-space-model-for-stochastic-multi-object-systems-2001.04050"/></url>
<url><loc>https://scifaro.com/en/abs/an-adversarial-approach-for-the-robust-classification-of-pneumonia-from-chest-radiographs-2001.04051</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adversarial-approach-for-the-robust-classification-of-pneumonia-from-chest-radiographs-2001.04051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adversarial-approach-for-the-robust-classification-of-pneumonia-from-chest-radiographs-2001.04051"/></url>
<url><loc>https://scifaro.com/en/abs/numerical-sequence-prediction-using-bayesian-concept-learning-2001.04072</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/numerical-sequence-prediction-using-bayesian-concept-learning-2001.04072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/numerical-sequence-prediction-using-bayesian-concept-learning-2001.04072"/></url>
<url><loc>https://scifaro.com/en/abs/residual-attention-net-for-superior-cross-domain-time-sequence-modeling-2001.04077</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-attention-net-for-superior-cross-domain-time-sequence-modeling-2001.04077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-attention-net-for-superior-cross-domain-time-sequence-modeling-2001.04077"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-method-based-on-predefined-evenly-distributed-class-centroids-2001.04092</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-method-based-on-predefined-evenly-distributed-class-centroids-2001.04092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-method-based-on-predefined-evenly-distributed-class-centroids-2001.04092"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-unsupervised-domain-adversarial-training-of-neural-networks-2001.04129</loc><lastmod>2022-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-unsupervised-domain-adversarial-training-of-neural-networks-2001.04129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-unsupervised-domain-adversarial-training-of-neural-networks-2001.04129"/></url>
<url><loc>https://scifaro.com/en/abs/wica-nonlinear-weighted-ica-2001.04147</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wica-nonlinear-weighted-ica-2001.04147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wica-nonlinear-weighted-ica-2001.04147"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-of-linear-non-gaussian-acyclic-models-in-the-presence-of-latent-confounders-2001.04197</loc><lastmod>2020-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-of-linear-non-gaussian-acyclic-models-in-the-presence-of-latent-confounders-2001.04197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-of-linear-non-gaussian-acyclic-models-in-the-presence-of-latent-confounders-2001.04197"/></url>
<url><loc>https://scifaro.com/en/abs/towards-high-performance-java-based-deep-learning-frameworks-2001.04206</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-high-performance-java-based-deep-learning-frameworks-2001.04206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-high-performance-java-based-deep-learning-frameworks-2001.04206"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-interference-for-counting-clusters-2001.04251</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-interference-for-counting-clusters-2001.04251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-interference-for-counting-clusters-2001.04251"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-to-discover-and-predict-dynamics-on-an-inertial-manifold-2001.04263</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-to-discover-and-predict-dynamics-on-an-inertial-manifold-2001.04263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-to-discover-and-predict-dynamics-on-an-inertial-manifold-2001.04263"/></url>
<url><loc>https://scifaro.com/en/abs/on-implicit-regularization-morse-functions-and-applications-to-matrix-factorization-2001.04264</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-implicit-regularization-morse-functions-and-applications-to-matrix-factorization-2001.04264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-implicit-regularization-morse-functions-and-applications-to-matrix-factorization-2001.04264"/></url>
<url><loc>https://scifaro.com/en/abs/deep-image-translation-with-an-affinity-based-change-prior-for-unsupervised-multimodal-change-detection-2001.04271</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-image-translation-with-an-affinity-based-change-prior-for-unsupervised-multimodal-change-detection-2001.04271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-image-translation-with-an-affinity-based-change-prior-for-unsupervised-multimodal-change-detection-2001.04271"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-flow-characteristics-in-the-bubble-column-reactor-by-the-artificial-pheromone-based-communication-of-biological-ants-2001.04276</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-flow-characteristics-in-the-bubble-column-reactor-by-the-artificial-pheromone-based-communication-of-biological-ants-2001.04276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-flow-characteristics-in-the-bubble-column-reactor-by-the-artificial-pheromone-based-communication-of-biological-ants-2001.04276"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-deep-learning-for-computational-mechanics-part-i-anisotropic-hyperelasticity-2001.04292</loc><lastmod>2020-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-deep-learning-for-computational-mechanics-part-i-anisotropic-hyperelasticity-2001.04292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-deep-learning-for-computational-mechanics-part-i-anisotropic-hyperelasticity-2001.04292"/></url>
<url><loc>https://scifaro.com/en/abs/granular-learning-with-deep-generative-models-using-highly-contaminated-data-2001.04297</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/granular-learning-with-deep-generative-models-using-highly-contaminated-data-2001.04297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/granular-learning-with-deep-generative-models-using-highly-contaminated-data-2001.04297"/></url>
<url><loc>https://scifaro.com/en/abs/using-deep-learning-to-explore-local-physical-similarity-for-global-scale-bridging-in-thermal-hydraulic-simulation-2001.04298</loc><lastmod>2020-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-deep-learning-to-explore-local-physical-similarity-for-global-scale-bridging-in-thermal-hydraulic-simulation-2001.04298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-deep-learning-to-explore-local-physical-similarity-for-global-scale-bridging-in-thermal-hydraulic-simulation-2001.04298"/></url>
<url><loc>https://scifaro.com/en/abs/universal-differential-equations-for-scientific-machine-learning-2001.04385</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-differential-equations-for-scientific-machine-learning-2001.04385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-differential-equations-for-scientific-machine-learning-2001.04385"/></url>
<url><loc>https://scifaro.com/en/abs/backward-feature-correction-how-deep-learning-performs-deep-hierarchical-learning-2001.04413</loc><lastmod>2023-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backward-feature-correction-how-deep-learning-performs-deep-hierarchical-learning-2001.04413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backward-feature-correction-how-deep-learning-performs-deep-hierarchical-learning-2001.04413"/></url>
<url><loc>https://scifaro.com/en/abs/lp-sparsemap-differentiable-relaxed-optimization-for-sparse-structured-prediction-2001.04437</loc><lastmod>2020-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lp-sparsemap-differentiable-relaxed-optimization-for-sparse-structured-prediction-2001.04437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lp-sparsemap-differentiable-relaxed-optimization-for-sparse-structured-prediction-2001.04437"/></url>
<url><loc>https://scifaro.com/en/abs/reformer-the-efficient-transformer-2001.04451</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reformer-the-efficient-transformer-2001.04451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reformer-the-efficient-transformer-2001.04451"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-mitigating-gradient-pathologies-in-physics-informed-neural-networks-2001.04536</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-mitigating-gradient-pathologies-in-physics-informed-neural-networks-2001.04536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-mitigating-gradient-pathologies-in-physics-informed-neural-networks-2001.04536"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-machine-learning-based-performance-improvement-of-wireless-networks-phy-mac-and-network-layer-2001.04561</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-machine-learning-based-performance-improvement-of-wireless-networks-phy-mac-and-network-layer-2001.04561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-machine-learning-based-performance-improvement-of-wireless-networks-phy-mac-and-network-layer-2001.04561"/></url>
<url><loc>https://scifaro.com/en/abs/faster-transformer-decoding-n-gram-masked-self-attention-2001.04589</loc><lastmod>2024-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-transformer-decoding-n-gram-masked-self-attention-2001.04589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-transformer-decoding-n-gram-masked-self-attention-2001.04589"/></url>
<url><loc>https://scifaro.com/en/abs/robust-gaussian-process-regression-with-a-bias-model-2001.04639</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-gaussian-process-regression-with-a-bias-model-2001.04639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-gaussian-process-regression-with-a-bias-model-2001.04639"/></url>
<url><loc>https://scifaro.com/en/abs/ddsp-differentiable-digital-signal-processing-2001.04643</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ddsp-differentiable-digital-signal-processing-2001.04643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ddsp-differentiable-digital-signal-processing-2001.04643"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-markets-a-basic-mechanism-for-organizing-gradient-based-learners-2001.04678</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-markets-a-basic-mechanism-for-organizing-gradient-based-learners-2001.04678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-markets-a-basic-mechanism-for-organizing-gradient-based-learners-2001.04678"/></url>
<url><loc>https://scifaro.com/en/abs/block-wise-dynamic-sparseness-2001.04686</loc><lastmod>2022-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-wise-dynamic-sparseness-2001.04686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-wise-dynamic-sparseness-2001.04686"/></url>
<url><loc>https://scifaro.com/en/abs/hydra-preserving-ensemble-diversity-for-model-distillation-2001.04694</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hydra-preserving-ensemble-diversity-for-model-distillation-2001.04694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hydra-preserving-ensemble-diversity-for-model-distillation-2001.04694"/></url>
<url><loc>https://scifaro.com/en/abs/humbug-zooniverse-a-crowd-sourced-acoustic-mosquito-dataset-2001.04733</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/humbug-zooniverse-a-crowd-sourced-acoustic-mosquito-dataset-2001.04733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/humbug-zooniverse-a-crowd-sourced-acoustic-mosquito-dataset-2001.04733"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-gradient-sparsification-for-efficient-federated-learning-an-online-learning-approach-2001.04756</loc><lastmod>2020-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-gradient-sparsification-for-efficient-federated-learning-an-online-learning-approach-2001.04756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-gradient-sparsification-for-efficient-federated-learning-an-online-learning-approach-2001.04756"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-disentanglement-with-grouped-observations-2001.04761</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-disentanglement-with-grouped-observations-2001.04761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-disentanglement-with-grouped-observations-2001.04761"/></url>
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<url><loc>https://scifaro.com/en/abs/distributed-learning-in-the-non-convex-world-from-batch-to-streaming-data-and-beyond-2001.04786</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-learning-in-the-non-convex-world-from-batch-to-streaming-data-and-beyond-2001.04786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-learning-in-the-non-convex-world-from-batch-to-streaming-data-and-beyond-2001.04786"/></url>
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<url><loc>https://scifaro.com/en/abs/analysis-of-bayesian-inference-algorithms-by-the-dynamical-functional-approach-2001.04918</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-bayesian-inference-algorithms-by-the-dynamical-functional-approach-2001.04918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-bayesian-inference-algorithms-by-the-dynamical-functional-approach-2001.04918"/></url>
<url><loc>https://scifaro.com/en/abs/private-machine-learning-via-randomised-response-2001.04942</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-machine-learning-via-randomised-response-2001.04942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-machine-learning-via-randomised-response-2001.04942"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-brain-in-a-high-dimensional-world-blessing-of-dimensionality-2001.04959</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-brain-in-a-high-dimensional-world-blessing-of-dimensionality-2001.04959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-brain-in-a-high-dimensional-world-blessing-of-dimensionality-2001.04959"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-machines-understanding-noisy-neural-networks-and-enhancing-robustness-to-analog-hardware-errors-using-distillation-2001.04974</loc><lastmod>2020-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-machines-understanding-noisy-neural-networks-and-enhancing-robustness-to-analog-hardware-errors-using-distillation-2001.04974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-machines-understanding-noisy-neural-networks-and-enhancing-robustness-to-analog-hardware-errors-using-distillation-2001.04974"/></url>
<url><loc>https://scifaro.com/en/abs/pops-policy-pruning-and-shrinking-for-deep-reinforcement-learning-2001.05012</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pops-policy-pruning-and-shrinking-for-deep-reinforcement-learning-2001.05012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pops-policy-pruning-and-shrinking-for-deep-reinforcement-learning-2001.05012"/></url>
<url><loc>https://scifaro.com/en/abs/assurance-monitoring-of-cyber-physical-systems-with-machine-learning-components-2001.05014</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assurance-monitoring-of-cyber-physical-systems-with-machine-learning-components-2001.05014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assurance-monitoring-of-cyber-physical-systems-with-machine-learning-components-2001.05014"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-the-set-of-local-maxima-2001.05026</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-the-set-of-local-maxima-2001.05026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-the-set-of-local-maxima-2001.05026"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-pool-based-active-learning-for-linear-regression-2001.05028</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-pool-based-active-learning-for-linear-regression-2001.05028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-pool-based-active-learning-for-linear-regression-2001.05028"/></url>
<url><loc>https://scifaro.com/en/abs/on-iterative-neural-network-pruning-reinitialization-and-the-similarity-of-masks-2001.05050</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-iterative-neural-network-pruning-reinitialization-and-the-similarity-of-masks-2001.05050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-iterative-neural-network-pruning-reinitialization-and-the-similarity-of-masks-2001.05050"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-generalization-in-deep-learning-via-tensor-methods-2001.05070</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-generalization-in-deep-learning-via-tensor-methods-2001.05070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-generalization-in-deep-learning-via-tensor-methods-2001.05070"/></url>
<url><loc>https://scifaro.com/en/abs/graph-bert-only-attention-is-needed-for-learning-graph-representations-2001.05140</loc><lastmod>2020-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-bert-only-attention-is-needed-for-learning-graph-representations-2001.05140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-bert-only-attention-is-needed-for-learning-graph-representations-2001.05140"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-interpretation-of-learned-step-size-in-deep-unfolded-gradient-descent-2001.05142</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-interpretation-of-learned-step-size-in-deep-unfolded-gradient-descent-2001.05142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-interpretation-of-learned-step-size-in-deep-unfolded-gradient-descent-2001.05142"/></url>
<url><loc>https://scifaro.com/en/abs/shapevis-high-dimensional-data-visualization-at-scale-2001.05166</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shapevis-high-dimensional-data-visualization-at-scale-2001.05166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shapevis-high-dimensional-data-visualization-at-scale-2001.05166"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-single-neuron-with-gradient-methods-2001.05205</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-single-neuron-with-gradient-methods-2001.05205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-single-neuron-with-gradient-methods-2001.05205"/></url>
<url><loc>https://scifaro.com/en/abs/a-formal-approach-to-explainability-2001.05207</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-formal-approach-to-explainability-2001.05207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-formal-approach-to-explainability-2001.05207"/></url>
<url><loc>https://scifaro.com/en/abs/seerl-sample-efficient-ensemble-reinforcement-learning-2001.05209</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seerl-sample-efficient-ensemble-reinforcement-learning-2001.05209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seerl-sample-efficient-ensemble-reinforcement-learning-2001.05209"/></url>
<url><loc>https://scifaro.com/en/abs/extreme-regression-for-dynamic-search-advertising-2001.05228</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extreme-regression-for-dynamic-search-advertising-2001.05228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extreme-regression-for-dynamic-search-advertising-2001.05228"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoders-as-weight-initialization-of-deep-classification-networks-for-cancer-versus-cancer-studies-2001.05253</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoders-as-weight-initialization-of-deep-classification-networks-for-cancer-versus-cancer-studies-2001.05253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoders-as-weight-initialization-of-deep-classification-networks-for-cancer-versus-cancer-studies-2001.05253"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-action-reinforcement-learning-for-playing-racing-games-comparing-spg-to-ppo-2001.05270</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-action-reinforcement-learning-for-playing-racing-games-comparing-spg-to-ppo-2001.05270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-action-reinforcement-learning-for-playing-racing-games-comparing-spg-to-ppo-2001.05270"/></url>
<url><loc>https://scifaro.com/en/abs/learning-similarity-measures-from-data-2001.05312</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-similarity-measures-from-data-2001.05312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-similarity-measures-from-data-2001.05312"/></url>
<url><loc>https://scifaro.com/en/abs/cyclecluster-modernising-clustering-regularisation-for-deep-semi-supervised-classification-2001.05317</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cyclecluster-modernising-clustering-regularisation-for-deep-semi-supervised-classification-2001.05317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cyclecluster-modernising-clustering-regularisation-for-deep-semi-supervised-classification-2001.05317"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-from-incomplete-data-a-deep-learning-approach-2001.05343</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-from-incomplete-data-a-deep-learning-approach-2001.05343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-from-incomplete-data-a-deep-learning-approach-2001.05343"/></url>
<url><loc>https://scifaro.com/en/abs/making-deep-neural-networks-right-for-the-right-scientific-reasons-by-interacting-with-their-explanations-2001.05371</loc><lastmod>2024-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-deep-neural-networks-right-for-the-right-scientific-reasons-by-interacting-with-their-explanations-2001.05371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-deep-neural-networks-right-for-the-right-scientific-reasons-by-interacting-with-their-explanations-2001.05371"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitz-lifelong-reinforcement-learning-2001.05411</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitz-lifelong-reinforcement-learning-2001.05411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitz-lifelong-reinforcement-learning-2001.05411"/></url>
<url><loc>https://scifaro.com/en/abs/deep-residual-flow-for-out-of-distribution-detection-2001.05419</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-residual-flow-for-out-of-distribution-detection-2001.05419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-residual-flow-for-out-of-distribution-detection-2001.05419"/></url>
<url><loc>https://scifaro.com/en/abs/robotic-grasp-manipulation-using-evolutionary-computing-and-deep-reinforcement-learning-2001.05443</loc><lastmod>2020-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robotic-grasp-manipulation-using-evolutionary-computing-and-deep-reinforcement-learning-2001.05443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robotic-grasp-manipulation-using-evolutionary-computing-and-deep-reinforcement-learning-2001.05443"/></url>
<url><loc>https://scifaro.com/en/abs/the-gossiping-insert-eliminate-algorithm-for-multi-agent-bandits-2001.05452</loc><lastmod>2024-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-gossiping-insert-eliminate-algorithm-for-multi-agent-bandits-2001.05452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-gossiping-insert-eliminate-algorithm-for-multi-agent-bandits-2001.05452"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-detection-ensemble-with-embedded-feature-selection-2001.05492</loc><lastmod>2020-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-detection-ensemble-with-embedded-feature-selection-2001.05492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-detection-ensemble-with-embedded-feature-selection-2001.05492"/></url>
<url><loc>https://scifaro.com/en/abs/noise-tolerant-reliable-active-classification-with-comparison-queries-2001.05497</loc><lastmod>2020-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-tolerant-reliable-active-classification-with-comparison-queries-2001.05497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-tolerant-reliable-active-classification-with-comparison-queries-2001.05497"/></url>
<url><loc>https://scifaro.com/en/abs/improving-gans-for-speech-enhancement-2001.05532</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-gans-for-speech-enhancement-2001.05532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-gans-for-speech-enhancement-2001.05532"/></url>
<url><loc>https://scifaro.com/en/abs/insertion-deletion-transformer-2001.05540</loc><lastmod>2020-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/insertion-deletion-transformer-2001.05540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/insertion-deletion-transformer-2001.05540"/></url>
<url><loc>https://scifaro.com/en/abs/mode-assisted-unsupervised-learning-of-restricted-boltzmann-machines-2001.05559</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mode-assisted-unsupervised-learning-of-restricted-boltzmann-machines-2001.05559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mode-assisted-unsupervised-learning-of-restricted-boltzmann-machines-2001.05559"/></url>
<url><loc>https://scifaro.com/en/abs/newtonian-monte-carlo-single-site-mcmc-meets-second-order-gradient-methods-2001.05567</loc><lastmod>2020-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/newtonian-monte-carlo-single-site-mcmc-meets-second-order-gradient-methods-2001.05567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/newtonian-monte-carlo-single-site-mcmc-meets-second-order-gradient-methods-2001.05567"/></url>
<url><loc>https://scifaro.com/en/abs/on-model-evaluation-under-non-constant-class-imbalance-2001.05571</loc><lastmod>2020-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-model-evaluation-under-non-constant-class-imbalance-2001.05571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-model-evaluation-under-non-constant-class-imbalance-2001.05571"/></url>
<url><loc>https://scifaro.com/en/abs/a-c-code-generator-for-fast-inference-and-simple-deployment-of-convolutional-neural-networks-on-resource-constrained-systems-2001.05572</loc><lastmod>2020-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-c-code-generator-for-fast-inference-and-simple-deployment-of-convolutional-neural-networks-on-resource-constrained-systems-2001.05572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-c-code-generator-for-fast-inference-and-simple-deployment-of-convolutional-neural-networks-on-resource-constrained-systems-2001.05572"/></url>
<url><loc>https://scifaro.com/en/abs/consumer-driven-explanations-for-machine-learning-decisions-an-empirical-study-of-robustness-2001.05573</loc><lastmod>2020-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consumer-driven-explanations-for-machine-learning-decisions-an-empirical-study-of-robustness-2001.05573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consumer-driven-explanations-for-machine-learning-decisions-an-empirical-study-of-robustness-2001.05573"/></url>
<url><loc>https://scifaro.com/en/abs/advbox-a-toolbox-to-generate-adversarial-examples-that-fool-neural-networks-2001.05574</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advbox-a-toolbox-to-generate-adversarial-examples-that-fool-neural-networks-2001.05574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advbox-a-toolbox-to-generate-adversarial-examples-that-fool-neural-networks-2001.05574"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-aggregate-properties-in-relational-networks-with-unobserved-data-2001.05617</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-aggregate-properties-in-relational-networks-with-unobserved-data-2001.05617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-aggregate-properties-in-relational-networks-with-unobserved-data-2001.05617"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-based-zero-shot-learning-for-multivariate-data-2001.05624</loc><lastmod>2020-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-based-zero-shot-learning-for-multivariate-data-2001.05624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-based-zero-shot-learning-for-multivariate-data-2001.05624"/></url>
<url><loc>https://scifaro.com/en/abs/mime-mutual-information-minimisation-exploration-2001.05636</loc><lastmod>2020-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mime-mutual-information-minimisation-exploration-2001.05636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mime-mutual-information-minimisation-exploration-2001.05636"/></url>
<url><loc>https://scifaro.com/en/abs/multi-site-fmri-analysis-using-privacy-preserving-federated-learning-and-domain-adaptation-abide-results-2001.05647</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-site-fmri-analysis-using-privacy-preserving-federated-learning-and-domain-adaptation-abide-results-2001.05647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-site-fmri-analysis-using-privacy-preserving-federated-learning-and-domain-adaptation-abide-results-2001.05647"/></url>
<url><loc>https://scifaro.com/en/abs/human-like-time-series-summaries-via-trend-utility-estimation-2001.05665</loc><lastmod>2020-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-like-time-series-summaries-via-trend-utility-estimation-2001.05665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-like-time-series-summaries-via-trend-utility-estimation-2001.05665"/></url>
<url><loc>https://scifaro.com/en/abs/shifted-and-squeezed-8-bit-floating-point-format-for-low-precision-training-of-deep-neural-networks-2001.05674</loc><lastmod>2020-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shifted-and-squeezed-8-bit-floating-point-format-for-low-precision-training-of-deep-neural-networks-2001.05674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shifted-and-squeezed-8-bit-floating-point-format-for-low-precision-training-of-deep-neural-networks-2001.05674"/></url>
<url><loc>https://scifaro.com/en/abs/stream-flow-forecasting-of-small-rivers-based-on-lstm-2001.05681</loc><lastmod>2020-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stream-flow-forecasting-of-small-rivers-based-on-lstm-2001.05681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stream-flow-forecasting-of-small-rivers-based-on-lstm-2001.05681"/></url>
<url><loc>https://scifaro.com/en/abs/combining-offline-causal-inference-and-online-bandit-learning-for-data-driven-decision-2001.05699</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-offline-causal-inference-and-online-bandit-learning-for-data-driven-decision-2001.05699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-offline-causal-inference-and-online-bandit-learning-for-data-driven-decision-2001.05699"/></url>
<url><loc>https://scifaro.com/en/abs/graph-attentional-autoencoder-for-anticancer-hyperfood-prediction-2001.05724</loc><lastmod>2020-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-attentional-autoencoder-for-anticancer-hyperfood-prediction-2001.05724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-attentional-autoencoder-for-anticancer-hyperfood-prediction-2001.05724"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-hyperparameter-optimization-with-lazy-gaussian-processes-2001.05726</loc><lastmod>2020-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-hyperparameter-optimization-with-lazy-gaussian-processes-2001.05726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-hyperparameter-optimization-with-lazy-gaussian-processes-2001.05726"/></url>
<url><loc>https://scifaro.com/en/abs/smart-data-driven-decision-trees-ensemble-methodology-for-imbalanced-big-data-2001.05759</loc><lastmod>2021-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smart-data-driven-decision-trees-ensemble-methodology-for-imbalanced-big-data-2001.05759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smart-data-driven-decision-trees-ensemble-methodology-for-imbalanced-big-data-2001.05759"/></url>
<url><loc>https://scifaro.com/en/abs/a-little-fog-for-a-large-turn-2001.05873</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-little-fog-for-a-large-turn-2001.05873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-little-fog-for-a-large-turn-2001.05873"/></url>
<url><loc>https://scifaro.com/en/abs/mixpath-a-unified-approach-for-one-shot-neural-architecture-search-2001.05887</loc><lastmod>2023-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixpath-a-unified-approach-for-one-shot-neural-architecture-search-2001.05887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixpath-a-unified-approach-for-one-shot-neural-architecture-search-2001.05887"/></url>
<url><loc>https://scifaro.com/en/abs/masking-schemes-for-universal-marginalisers-2001.05895</loc><lastmod>2020-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/masking-schemes-for-universal-marginalisers-2001.05895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/masking-schemes-for-universal-marginalisers-2001.05895"/></url>
<url><loc>https://scifaro.com/en/abs/elastic-consistency-a-general-consistency-model-for-distributed-stochastic-gradient-descent-2001.05918</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elastic-consistency-a-general-consistency-model-for-distributed-stochastic-gradient-descent-2001.05918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elastic-consistency-a-general-consistency-model-for-distributed-stochastic-gradient-descent-2001.05918"/></url>
<url><loc>https://scifaro.com/en/abs/meliusnet-can-binary-neural-networks-achieve-mobilenet-level-accuracy-2001.05936</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meliusnet-can-binary-neural-networks-achieve-mobilenet-level-accuracy-2001.05936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meliusnet-can-binary-neural-networks-achieve-mobilenet-level-accuracy-2001.05936"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-e-prediction-2001.05989</loc><lastmod>2025-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-e-prediction-2001.05989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-e-prediction-2001.05989"/></url>
<url><loc>https://scifaro.com/en/abs/provable-benefit-of-orthogonal-initialization-in-optimizing-deep-linear-networks-2001.05992</loc><lastmod>2020-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-benefit-of-orthogonal-initialization-in-optimizing-deep-linear-networks-2001.05992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-benefit-of-orthogonal-initialization-in-optimizing-deep-linear-networks-2001.05992"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-individual-level-causal-models-from-graph-based-relational-time-series-2001.05993</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-individual-level-causal-models-from-graph-based-relational-time-series-2001.05993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-individual-level-causal-models-from-graph-based-relational-time-series-2001.05993"/></url>
<url><loc>https://scifaro.com/en/abs/curriculum-labeling-revisiting-pseudo-labeling-for-semi-supervised-learning-2001.06001</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curriculum-labeling-revisiting-pseudo-labeling-for-semi-supervised-learning-2001.06001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curriculum-labeling-revisiting-pseudo-labeling-for-semi-supervised-learning-2001.06001"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-power-of-persistence-pairing-via-permutation-test-2001.06058</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-power-of-persistence-pairing-via-permutation-test-2001.06058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-power-of-persistence-pairing-via-permutation-test-2001.06058"/></url>
<url><loc>https://scifaro.com/en/abs/fourier-transform-approach-to-machine-learning-iii-fourier-classification-2001.06081</loc><lastmod>2022-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fourier-transform-approach-to-machine-learning-iii-fourier-classification-2001.06081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fourier-transform-approach-to-machine-learning-iii-fourier-classification-2001.06081"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-measures-for-regression-via-probabilistic-classification-2001.06089</loc><lastmod>2020-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-measures-for-regression-via-probabilistic-classification-2001.06089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-measures-for-regression-via-probabilistic-classification-2001.06089"/></url>
<url><loc>https://scifaro.com/en/abs/code-bridged-classifier-cbc-a-low-or-negative-overhead-defense-for-making-a-cnn-classifier-robust-against-adversarial-attacks-2001.06099</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/code-bridged-classifier-cbc-a-low-or-negative-overhead-defense-for-making-a-cnn-classifier-robust-against-adversarial-attacks-2001.06099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/code-bridged-classifier-cbc-a-low-or-negative-overhead-defense-for-making-a-cnn-classifier-robust-against-adversarial-attacks-2001.06099"/></url>
<url><loc>https://scifaro.com/en/abs/an-adversarial-learning-framework-for-preserving-users-anonymity-in-face-based-emotion-recognition-2001.06103</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adversarial-learning-framework-for-preserving-users-anonymity-in-face-based-emotion-recognition-2001.06103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adversarial-learning-framework-for-preserving-users-anonymity-in-face-based-emotion-recognition-2001.06103"/></url>
<url><loc>https://scifaro.com/en/abs/better-boosting-with-bandits-for-online-learning-2001.06105</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-boosting-with-bandits-for-online-learning-2001.06105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-boosting-with-bandits-for-online-learning-2001.06105"/></url>
<url><loc>https://scifaro.com/en/abs/learning-stable-deep-dynamics-models-2001.06116</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-stable-deep-dynamics-models-2001.06116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-stable-deep-dynamics-models-2001.06116"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-trend-corrected-variant-of-adaptive-stochastic-optimization-methods-2001.06130</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-trend-corrected-variant-of-adaptive-stochastic-optimization-methods-2001.06130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-trend-corrected-variant-of-adaptive-stochastic-optimization-methods-2001.06130"/></url>
<url><loc>https://scifaro.com/en/abs/graph-inference-learning-for-semi-supervised-classification-2001.06137</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-inference-learning-for-semi-supervised-classification-2001.06137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-inference-learning-for-semi-supervised-classification-2001.06137"/></url>
<url><loc>https://scifaro.com/en/abs/a-derivative-free-method-for-solving-elliptic-partial-differential-equations-with-deep-neural-networks-2001.06145</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-derivative-free-method-for-solving-elliptic-partial-differential-equations-with-deep-neural-networks-2001.06145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-derivative-free-method-for-solving-elliptic-partial-differential-equations-with-deep-neural-networks-2001.06145"/></url>
<url><loc>https://scifaro.com/en/abs/dnns-as-layers-of-cooperating-classifiers-2001.06178</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dnns-as-layers-of-cooperating-classifiers-2001.06178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dnns-as-layers-of-cooperating-classifiers-2001.06178"/></url>
<url><loc>https://scifaro.com/en/abs/fedvision-an-online-visual-object-detection-platform-powered-by-federated-learning-2001.06202</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedvision-an-online-visual-object-detection-platform-powered-by-federated-learning-2001.06202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedvision-an-online-visual-object-detection-platform-powered-by-federated-learning-2001.06202"/></url>
<url><loc>https://scifaro.com/en/abs/graphlime-local-interpretable-model-explanations-for-graph-neural-networks-2001.06216</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphlime-local-interpretable-model-explanations-for-graph-neural-networks-2001.06216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphlime-local-interpretable-model-explanations-for-graph-neural-networks-2001.06216"/></url>
<url><loc>https://scifaro.com/en/abs/sideways-depth-parallel-training-of-video-models-2001.06232</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sideways-depth-parallel-training-of-video-models-2001.06232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sideways-depth-parallel-training-of-video-models-2001.06232"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-permanent-magnet-temperature-estimation-in-synchronous-motors-with-supervised-machine-learning-2001.06246</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-permanent-magnet-temperature-estimation-in-synchronous-motors-with-supervised-machine-learning-2001.06246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-permanent-magnet-temperature-estimation-in-synchronous-motors-with-supervised-machine-learning-2001.06246"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-with-trainable-activations-and-controlled-lipschitz-constant-2001.06263</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-with-trainable-activations-and-controlled-lipschitz-constant-2001.06263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-with-trainable-activations-and-controlled-lipschitz-constant-2001.06263"/></url>
<url><loc>https://scifaro.com/en/abs/cyber-attack-detection-thanks-to-machine-learning-algorithms-2001.06309</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cyber-attack-detection-thanks-to-machine-learning-algorithms-2001.06309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cyber-attack-detection-thanks-to-machine-learning-algorithms-2001.06309"/></url>
<url><loc>https://scifaro.com/en/abs/universal-adversarial-attack-on-attention-and-the-resulting-dataset-damagenet-2001.06325</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-adversarial-attack-on-attention-and-the-resulting-dataset-damagenet-2001.06325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-adversarial-attack-on-attention-and-the-resulting-dataset-damagenet-2001.06325"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-activation-functions-2001.06370</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-activation-functions-2001.06370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-activation-functions-2001.06370"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-of-change-point-detection-in-time-series-data-based-on-direct-density-ratio-estimation-2001.06386</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-of-change-point-detection-in-time-series-data-based-on-direct-density-ratio-estimation-2001.06386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-of-change-point-detection-in-time-series-data-based-on-direct-density-ratio-estimation-2001.06386"/></url>
<url><loc>https://scifaro.com/en/abs/training-normalizing-flows-with-the-information-bottleneck-for-competitive-generative-classification-2001.06448</loc><lastmod>2021-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-normalizing-flows-with-the-information-bottleneck-for-competitive-generative-classification-2001.06448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-normalizing-flows-with-the-information-bottleneck-for-competitive-generative-classification-2001.06448"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-with-momentum-to-accelerate-or-to-super-accelerate-2001.06472</loc><lastmod>2020-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-with-momentum-to-accelerate-or-to-super-accelerate-2001.06472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-with-momentum-to-accelerate-or-to-super-accelerate-2001.06472"/></url>
<url><loc>https://scifaro.com/en/abs/k-nn-active-learning-under-local-smoothness-assumption-2001.06485</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-nn-active-learning-under-local-smoothness-assumption-2001.06485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-nn-active-learning-under-local-smoothness-assumption-2001.06485"/></url>
<url><loc>https://scifaro.com/en/abs/trust-in-automl-exploring-information-needs-for-establishing-trust-in-automated-machine-learning-systems-2001.06509</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trust-in-automl-exploring-information-needs-for-establishing-trust-in-automated-machine-learning-systems-2001.06509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trust-in-automl-exploring-information-needs-for-establishing-trust-in-automated-machine-learning-systems-2001.06509"/></url>
<url><loc>https://scifaro.com/en/abs/neighborhood-structure-assisted-non-negative-matrix-factorization-and-its-application-in-unsupervised-point-wise-anomaly-detection-2001.06541</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neighborhood-structure-assisted-non-negative-matrix-factorization-and-its-application-in-unsupervised-point-wise-anomaly-detection-2001.06541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neighborhood-structure-assisted-non-negative-matrix-factorization-and-its-application-in-unsupervised-point-wise-anomaly-detection-2001.06541"/></url>
<url><loc>https://scifaro.com/en/abs/inference-for-network-structure-and-dynamics-from-time-series-data-via-graph-neural-network-2001.06576</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-for-network-structure-and-dynamics-from-time-series-data-via-graph-neural-network-2001.06576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-for-network-structure-and-dynamics-from-time-series-data-via-graph-neural-network-2001.06576"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bid-landscape-forecasting-in-real-time-bidding-2001.06587</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bid-landscape-forecasting-in-real-time-bidding-2001.06587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bid-landscape-forecasting-in-real-time-bidding-2001.06587"/></url>
<url><loc>https://scifaro.com/en/abs/flexibo-a-decoupled-cost-aware-multi-objective-optimization-approach-for-deep-neural-networks-2001.06588</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexibo-a-decoupled-cost-aware-multi-objective-optimization-approach-for-deep-neural-networks-2001.06588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexibo-a-decoupled-cost-aware-multi-objective-optimization-approach-for-deep-neural-networks-2001.06588"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-cycle-consistent-generative-adversarial-network-for-anomaly-detection-2001.06591</loc><lastmod>2020-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-cycle-consistent-generative-adversarial-network-for-anomaly-detection-2001.06591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-cycle-consistent-generative-adversarial-network-for-anomaly-detection-2001.06591"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-motion-planning-for-dense-and-dynamic-environments-via-deep-reinforcement-learning-2001.06627</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-motion-planning-for-dense-and-dynamic-environments-via-deep-reinforcement-learning-2001.06627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-motion-planning-for-dense-and-dynamic-environments-via-deep-reinforcement-learning-2001.06627"/></url>
<url><loc>https://scifaro.com/en/abs/oiad-one-for-all-image-anomaly-detection-with-disentanglement-learning-2001.06640</loc><lastmod>2020-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oiad-one-for-all-image-anomaly-detection-with-disentanglement-learning-2001.06640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oiad-one-for-all-image-anomaly-detection-with-disentanglement-learning-2001.06640"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-see-analogies-a-connectionist-exploration-2001.06668</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-see-analogies-a-connectionist-exploration-2001.06668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-see-analogies-a-connectionist-exploration-2001.06668"/></url>
<url><loc>https://scifaro.com/en/abs/a-classification-based-approach-to-semi-supervised-clustering-with-pairwise-constraints-2001.06720</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-classification-based-approach-to-semi-supervised-clustering-with-pairwise-constraints-2001.06720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-classification-based-approach-to-semi-supervised-clustering-with-pairwise-constraints-2001.06720"/></url>
<url><loc>https://scifaro.com/en/abs/effects-of-sparse-rewards-of-different-magnitudes-in-the-speed-of-learning-of-model-based-actor-critic-methods-2001.06725</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effects-of-sparse-rewards-of-different-magnitudes-in-the-speed-of-learning-of-model-based-actor-critic-methods-2001.06725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effects-of-sparse-rewards-of-different-magnitudes-in-the-speed-of-learning-of-model-based-actor-critic-methods-2001.06725"/></url>
<url><loc>https://scifaro.com/en/abs/algebraic-and-analytic-approaches-for-parameter-learning-in-mixture-models-2001.06776</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algebraic-and-analytic-approaches-for-parameter-learning-in-mixture-models-2001.06776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algebraic-and-analytic-approaches-for-parameter-learning-in-mixture-models-2001.06776"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-surgery-for-multi-task-learning-2001.06782</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-surgery-for-multi-task-learning-2001.06782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-surgery-for-multi-task-learning-2001.06782"/></url>
<url><loc>https://scifaro.com/en/abs/learning-options-from-demonstration-using-skill-segmentation-2001.06793</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-options-from-demonstration-using-skill-segmentation-2001.06793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-options-from-demonstration-using-skill-segmentation-2001.06793"/></url>
<url><loc>https://scifaro.com/en/abs/discriminator-soft-actor-critic-without-extrinsic-rewards-2001.06808</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminator-soft-actor-critic-without-extrinsic-rewards-2001.06808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminator-soft-actor-critic-without-extrinsic-rewards-2001.06808"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-bayesian-quadrature-optimization-2001.06814</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-bayesian-quadrature-optimization-2001.06814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-bayesian-quadrature-optimization-2001.06814"/></url>
<url><loc>https://scifaro.com/en/abs/infrequent-adverse-event-prediction-in-low-carbon-energy-production-using-machine-learning-2001.06916</loc><lastmod>2021-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infrequent-adverse-event-prediction-in-low-carbon-energy-production-using-machine-learning-2001.06916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infrequent-adverse-event-prediction-in-low-carbon-energy-production-using-machine-learning-2001.06916"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-on-generative-adversarial-networks-algorithms-theory-and-applications-2001.06937</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-on-generative-adversarial-networks-algorithms-theory-and-applications-2001.06937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-on-generative-adversarial-networks-algorithms-theory-and-applications-2001.06937"/></url>
<url><loc>https://scifaro.com/en/abs/memory-capacity-of-neural-networks-with-threshold-and-relu-activations-2001.06938</loc><lastmod>2020-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-capacity-of-neural-networks-with-threshold-and-relu-activations-2001.06938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-capacity-of-neural-networks-with-threshold-and-relu-activations-2001.06938"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-probabilistically-complete-exploration-2001.06940</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-probabilistically-complete-exploration-2001.06940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-probabilistically-complete-exploration-2001.06940"/></url>
<url><loc>https://scifaro.com/en/abs/finding-the-sparsest-vectors-in-a-subspace-theory-algorithms-and-applications-2001.06970</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-the-sparsest-vectors-in-a-subspace-theory-algorithms-and-applications-2001.06970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-the-sparsest-vectors-in-a-subspace-theory-algorithms-and-applications-2001.06970"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-generates-custom-made-logistic-regression-models-for-explaining-how-breast-cancer-subtypes-are-classified-2001.06988</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-generates-custom-made-logistic-regression-models-for-explaining-how-breast-cancer-subtypes-are-classified-2001.06988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-generates-custom-made-logistic-regression-models-for-explaining-how-breast-cancer-subtypes-are-classified-2001.06988"/></url>
<url><loc>https://scifaro.com/en/abs/projection-based-active-gaussian-process-regression-for-pareto-front-modeling-2001.07072</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projection-based-active-gaussian-process-regression-for-pareto-front-modeling-2001.07072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projection-based-active-gaussian-process-regression-for-pareto-front-modeling-2001.07072"/></url>
<url><loc>https://scifaro.com/en/abs/an-interpretable-neural-network-model-through-piecewise-linear-approximation-2001.07119</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-interpretable-neural-network-model-through-piecewise-linear-approximation-2001.07119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-interpretable-neural-network-model-through-piecewise-linear-approximation-2001.07119"/></url>
<url><loc>https://scifaro.com/en/abs/model-reuse-with-reduced-kernel-mean-embedding-specification-2001.07135</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-reuse-with-reduced-kernel-mean-embedding-specification-2001.07135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-reuse-with-reduced-kernel-mean-embedding-specification-2001.07135"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-transfer-learning-in-ensemble-clustering-2001.07155</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-transfer-learning-in-ensemble-clustering-2001.07155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-transfer-learning-in-ensemble-clustering-2001.07155"/></url>
<url><loc>https://scifaro.com/en/abs/sglb-stochastic-gradient-langevin-boosting-2001.07248</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sglb-stochastic-gradient-langevin-boosting-2001.07248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sglb-stochastic-gradient-langevin-boosting-2001.07248"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-integer-programming-formulation-of-unsupervised-learning-2001.07278</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-integer-programming-formulation-of-unsupervised-learning-2001.07278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-integer-programming-formulation-of-unsupervised-learning-2001.07278"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-infinite-width-limit-of-neural-networks-with-a-standard-parameterization-2001.07301</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-infinite-width-limit-of-neural-networks-with-a-standard-parameterization-2001.07301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-infinite-width-limit-of-neural-networks-with-a-standard-parameterization-2001.07301"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-using-neural-ordinary-differential-equations-2001.07342</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-using-neural-ordinary-differential-equations-2001.07342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-using-neural-ordinary-differential-equations-2001.07342"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-why-neural-networks-generalize-well-through-gsnr-of-parameters-2001.07384</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-why-neural-networks-generalize-well-through-gsnr-of-parameters-2001.07384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-why-neural-networks-generalize-well-through-gsnr-of-parameters-2001.07384"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-data-driven-decisions-made-by-ai-systems-the-counterfactual-approach-2001.07417</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-data-driven-decisions-made-by-ai-systems-the-counterfactual-approach-2001.07417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-data-driven-decisions-made-by-ai-systems-the-counterfactual-approach-2001.07417"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-and-representation-learning-for-estimation-of-potential-outcomes-and-causal-effects-2001.07426</loc><lastmod>2023-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-and-representation-learning-for-estimation-of-potential-outcomes-and-causal-effects-2001.07426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-and-representation-learning-for-estimation-of-potential-outcomes-and-causal-effects-2001.07426"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-control-pdes-with-differentiable-physics-2001.07457</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-control-pdes-with-differentiable-physics-2001.07457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-control-pdes-with-differentiable-physics-2001.07457"/></url>
<url><loc>https://scifaro.com/en/abs/fast-sequence-based-embedding-with-diffusion-graphs-2001.07463</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-sequence-based-embedding-with-diffusion-graphs-2001.07463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-sequence-based-embedding-with-diffusion-graphs-2001.07463"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervisedly-learned-representations-should-the-quest-be-over-2001.07495</loc><lastmod>2025-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervisedly-learned-representations-should-the-quest-be-over-2001.07495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervisedly-learned-representations-should-the-quest-be-over-2001.07495"/></url>
<url><loc>https://scifaro.com/en/abs/engineering-ai-systems-a-research-agenda-2001.07522</loc><lastmod>2020-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/engineering-ai-systems-a-research-agenda-2001.07522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/engineering-ai-systems-a-research-agenda-2001.07522"/></url>
<url><loc>https://scifaro.com/en/abs/the-gap-between-theory-and-practice-in-function-approximation-with-deep-neural-networks-2001.07523</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-gap-between-theory-and-practice-in-function-approximation-with-deep-neural-networks-2001.07523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-gap-between-theory-and-practice-in-function-approximation-with-deep-neural-networks-2001.07523"/></url>
<url><loc>https://scifaro.com/en/abs/node-masking-making-graph-neural-networks-generalize-and-scale-better-2001.07524</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-masking-making-graph-neural-networks-generalize-and-scale-better-2001.07524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-masking-making-graph-neural-networks-generalize-and-scale-better-2001.07524"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-multi-agent-reinforcement-learning-with-cooperative-prioritized-sweeping-2001.07527</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-multi-agent-reinforcement-learning-with-cooperative-prioritized-sweeping-2001.07527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-multi-agent-reinforcement-learning-with-cooperative-prioritized-sweeping-2001.07527"/></url>
<url><loc>https://scifaro.com/en/abs/classifying-wikipedia-in-a-fine-grained-hierarchy-what-graphs-can-contribute-2001.07558</loc><lastmod>2020-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifying-wikipedia-in-a-fine-grained-hierarchy-what-graphs-can-contribute-2001.07558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifying-wikipedia-in-a-fine-grained-hierarchy-what-graphs-can-contribute-2001.07558"/></url>
<url><loc>https://scifaro.com/en/abs/r2de-a-nlp-approach-to-estimating-irt-parameters-of-newly-generated-questions-2001.07569</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/r2de-a-nlp-approach-to-estimating-irt-parameters-of-newly-generated-questions-2001.07569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/r2de-a-nlp-approach-to-estimating-irt-parameters-of-newly-generated-questions-2001.07569"/></url>
<url><loc>https://scifaro.com/en/abs/motif-difference-field-a-simple-and-effective-image-representation-of-time-series-for-classification-2001.07582</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/motif-difference-field-a-simple-and-effective-image-representation-of-time-series-for-classification-2001.07582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/motif-difference-field-a-simple-and-effective-image-representation-of-time-series-for-classification-2001.07582"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-limitations-of-network-online-learning-2001.07607</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-limitations-of-network-online-learning-2001.07607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-limitations-of-network-online-learning-2001.07607"/></url>
<url><loc>https://scifaro.com/en/abs/analytic-properties-of-trackable-weak-models-2001.07608</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analytic-properties-of-trackable-weak-models-2001.07608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analytic-properties-of-trackable-weak-models-2001.07608"/></url>
<url><loc>https://scifaro.com/en/abs/cut-based-graph-learning-networks-to-discover-compositional-structure-of-sequential-video-data-2001.07613</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cut-based-graph-learning-networks-to-discover-compositional-structure-of-sequential-video-data-2001.07613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cut-based-graph-learning-networks-to-discover-compositional-structure-of-sequential-video-data-2001.07613"/></url>
<url><loc>https://scifaro.com/en/abs/simple-and-effective-graph-autoencoders-with-one-hop-linear-models-2001.07614</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-and-effective-graph-autoencoders-with-one-hop-linear-models-2001.07614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-and-effective-graph-autoencoders-with-one-hop-linear-models-2001.07614"/></url>
<url><loc>https://scifaro.com/en/abs/edgenets-edge-varying-graph-neural-networks-2001.07620</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edgenets-edge-varying-graph-neural-networks-2001.07620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edgenets-edge-varying-graph-neural-networks-2001.07620"/></url>
<url><loc>https://scifaro.com/en/abs/batchboost-regularization-for-stabilizing-training-with-resistance-to-underfitting-overfitting-2001.07627</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batchboost-regularization-for-stabilizing-training-with-resistance-to-underfitting-overfitting-2001.07627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batchboost-regularization-for-stabilizing-training-with-resistance-to-underfitting-overfitting-2001.07627"/></url>
<url><loc>https://scifaro.com/en/abs/hrfa-high-resolution-feature-based-attack-2001.07631</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hrfa-high-resolution-feature-based-attack-2001.07631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hrfa-high-resolution-feature-based-attack-2001.07631"/></url>
<url><loc>https://scifaro.com/en/abs/mobility-inference-on-long-tailed-sparse-trajectory-2001.07636</loc><lastmod>2020-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mobility-inference-on-long-tailed-sparse-trajectory-2001.07636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mobility-inference-on-long-tailed-sparse-trajectory-2001.07636"/></url>
<url><loc>https://scifaro.com/en/abs/deceptive-ai-explanations-creation-and-detection-2001.07641</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deceptive-ai-explanations-creation-and-detection-2001.07641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deceptive-ai-explanations-creation-and-detection-2001.07641"/></url>
<url><loc>https://scifaro.com/en/abs/fixmatch-simplifying-semi-supervised-learning-with-consistency-and-confidence-2001.07685</loc><lastmod>2020-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixmatch-simplifying-semi-supervised-learning-with-consistency-and-confidence-2001.07685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixmatch-simplifying-semi-supervised-learning-with-consistency-and-confidence-2001.07685"/></url>
<url><loc>https://scifaro.com/en/abs/improving-label-ranking-ensembles-using-boosting-techniques-2001.07744</loc><lastmod>2020-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-label-ranking-ensembles-using-boosting-techniques-2001.07744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-label-ranking-ensembles-using-boosting-techniques-2001.07744"/></url>
<url><loc>https://scifaro.com/en/abs/massif-interactive-interpretation-of-adversarial-attacks-on-deep-learning-2001.07769</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/massif-interactive-interpretation-of-adversarial-attacks-on-deep-learning-2001.07769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/massif-interactive-interpretation-of-adversarial-attacks-on-deep-learning-2001.07769"/></url>
<url><loc>https://scifaro.com/en/abs/augmenting-gail-with-bc-for-sample-efficient-imitation-learning-2001.07798</loc><lastmod>2020-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmenting-gail-with-bc-for-sample-efficient-imitation-learning-2001.07798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmenting-gail-with-bc-for-sample-efficient-imitation-learning-2001.07798"/></url>
<url><loc>https://scifaro.com/en/abs/coarse-grain-cluster-analysis-of-tensors-with-application-to-climate-biome-identification-2001.07827</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coarse-grain-cluster-analysis-of-tensors-with-application-to-climate-biome-identification-2001.07827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coarse-grain-cluster-analysis-of-tensors-with-application-to-climate-biome-identification-2001.07827"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-time-optimization-for-federated-learning-over-wireless-networks-2001.07845</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-time-optimization-for-federated-learning-over-wireless-networks-2001.07845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-time-optimization-for-federated-learning-over-wireless-networks-2001.07845"/></url>
<url><loc>https://scifaro.com/en/abs/incentivising-exploration-and-recommendations-for-contextual-bandits-with-payments-2001.07853</loc><lastmod>2020-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incentivising-exploration-and-recommendations-for-contextual-bandits-with-payments-2001.07853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incentivising-exploration-and-recommendations-for-contextual-bandits-with-payments-2001.07853"/></url>
<url><loc>https://scifaro.com/en/abs/from-abstract-items-to-latent-spaces-to-observed-data-and-back-compositional-variational-auto-encoder-2001.07910</loc><lastmod>2020-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-abstract-items-to-latent-spaces-to-observed-data-and-back-compositional-variational-auto-encoder-2001.07910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-abstract-items-to-latent-spaces-to-observed-data-and-back-compositional-variational-auto-encoder-2001.07910"/></url>
<url><loc>https://scifaro.com/en/abs/get-rid-of-suspended-animation-problem-deep-diffusive-neural-network-on-graph-semi-supervised-classification-2001.07922</loc><lastmod>2020-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/get-rid-of-suspended-animation-problem-deep-diffusive-neural-network-on-graph-semi-supervised-classification-2001.07922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/get-rid-of-suspended-animation-problem-deep-diffusive-neural-network-on-graph-semi-supervised-classification-2001.07922"/></url>
<url><loc>https://scifaro.com/en/abs/codereef-an-open-platform-for-portable-mlops-reusable-automation-actions-and-reproducible-benchmarking-2001.07935</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/codereef-an-open-platform-for-portable-mlops-reusable-automation-actions-and-reproducible-benchmarking-2001.07935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/codereef-an-open-platform-for-portable-mlops-reusable-automation-actions-and-reproducible-benchmarking-2001.07935"/></url>
<url><loc>https://scifaro.com/en/abs/on-solving-cooperative-marl-problems-with-a-few-good-experiences-2001.07993</loc><lastmod>2020-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-solving-cooperative-marl-problems-with-a-few-good-experiences-2001.07993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-solving-cooperative-marl-problems-with-a-few-good-experiences-2001.07993"/></url>
<url><loc>https://scifaro.com/en/abs/safety-concerns-and-mitigation-approaches-regarding-the-use-of-deep-learning-in-safety-critical-perception-tasks-2001.08001</loc><lastmod>2020-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safety-concerns-and-mitigation-approaches-regarding-the-use-of-deep-learning-in-safety-critical-perception-tasks-2001.08001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safety-concerns-and-mitigation-approaches-regarding-the-use-of-deep-learning-in-safety-critical-perception-tasks-2001.08001"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-binning-mathematical-programming-formulation-2001.08025</loc><lastmod>2022-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-binning-mathematical-programming-formulation-2001.08025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-binning-mathematical-programming-formulation-2001.08025"/></url>
<url><loc>https://scifaro.com/en/abs/local-policy-optimization-for-trajectory-centric-reinforcement-learning-2001.08092</loc><lastmod>2020-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-policy-optimization-for-trajectory-centric-reinforcement-learning-2001.08092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-policy-optimization-for-trajectory-centric-reinforcement-learning-2001.08092"/></url>
<url><loc>https://scifaro.com/en/abs/secure-and-robust-machine-learning-for-healthcare-a-survey-2001.08103</loc><lastmod>2020-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secure-and-robust-machine-learning-for-healthcare-a-survey-2001.08103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secure-and-robust-machine-learning-for-healthcare-a-survey-2001.08103"/></url>
<url><loc>https://scifaro.com/en/abs/q-learning-in-enormous-action-spaces-via-amortized-approximate-maximization-2001.08116</loc><lastmod>2020-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/q-learning-in-enormous-action-spaces-via-amortized-approximate-maximization-2001.08116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/q-learning-in-enormous-action-spaces-via-amortized-approximate-maximization-2001.08116"/></url>
<url><loc>https://scifaro.com/en/abs/pruning-cnn-s-with-linear-filter-ensembles-2001.08142</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pruning-cnn-s-with-linear-filter-ensembles-2001.08142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pruning-cnn-s-with-linear-filter-ensembles-2001.08142"/></url>
<url><loc>https://scifaro.com/en/abs/graphgen-a-scalable-approach-to-domain-agnostic-labeled-graph-generation-2001.08184</loc><lastmod>2020-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphgen-a-scalable-approach-to-domain-agnostic-labeled-graph-generation-2001.08184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphgen-a-scalable-approach-to-domain-agnostic-labeled-graph-generation-2001.08184"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-for-medical-data-2001.08269</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-for-medical-data-2001.08269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-for-medical-data-2001.08269"/></url>
<url><loc>https://scifaro.com/en/abs/intermittent-pulling-with-local-compensation-for-communication-efficient-federated-learning-2001.08277</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intermittent-pulling-with-local-compensation-for-communication-efficient-federated-learning-2001.08277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intermittent-pulling-with-local-compensation-for-communication-efficient-federated-learning-2001.08277"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-noisy-and-irrelevant-data-in-federated-learning-2001.08300</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-noisy-and-irrelevant-data-in-federated-learning-2001.08300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-noisy-and-irrelevant-data-in-federated-learning-2001.08300"/></url>
<url><loc>https://scifaro.com/en/abs/deep-transformer-models-for-time-series-forecasting-the-influenza-prevalence-case-2001.08317</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-transformer-models-for-time-series-forecasting-the-influenza-prevalence-case-2001.08317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-transformer-models-for-time-series-forecasting-the-influenza-prevalence-case-2001.08317"/></url>
<url><loc>https://scifaro.com/en/abs/fsnet-feature-selection-network-on-high-dimensional-biological-data-2001.08322</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fsnet-feature-selection-network-on-high-dimensional-biological-data-2001.08322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fsnet-feature-selection-network-on-high-dimensional-biological-data-2001.08322"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-approach-to-behavior-based-learner-modeling-2001.08328</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-behavior-based-learner-modeling-2001.08328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-behavior-based-learner-modeling-2001.08328"/></url>
<url><loc>https://scifaro.com/en/abs/applying-recent-innovations-from-nlp-to-mooc-student-course-trajectory-modeling-2001.08333</loc><lastmod>2020-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-recent-innovations-from-nlp-to-mooc-student-course-trajectory-modeling-2001.08333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-recent-innovations-from-nlp-to-mooc-student-course-trajectory-modeling-2001.08333"/></url>
<url><loc>https://scifaro.com/en/abs/blk-rew-a-unified-block-based-dnn-pruning-framework-using-reweighted-regularization-method-2001.08357</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blk-rew-a-unified-block-based-dnn-pruning-framework-using-reweighted-regularization-method-2001.08357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blk-rew-a-unified-block-based-dnn-pruning-framework-using-reweighted-regularization-method-2001.08357"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-laws-for-neural-language-models-2001.08361</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-laws-for-neural-language-models-2001.08361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-laws-for-neural-language-models-2001.08361"/></url>
<url><loc>https://scifaro.com/en/abs/random-matrix-theory-proves-that-deep-learning-representations-of-gan-data-behave-as-gaussian-mixtures-2001.08370</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-matrix-theory-proves-that-deep-learning-representations-of-gan-data-behave-as-gaussian-mixtures-2001.08370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-matrix-theory-proves-that-deep-learning-representations-of-gan-data-behave-as-gaussian-mixtures-2001.08370"/></url>
<url><loc>https://scifaro.com/en/abs/wrapper-feature-selection-algorithm-for-the-optimization-of-an-indicator-system-of-patent-value-assessment-2001.08371</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wrapper-feature-selection-algorithm-for-the-optimization-of-an-indicator-system-of-patent-value-assessment-2001.08371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wrapper-feature-selection-algorithm-for-the-optimization-of-an-indicator-system-of-patent-value-assessment-2001.08371"/></url>
<url><loc>https://scifaro.com/en/abs/visual-summary-of-value-level-feature-attribution-in-prediction-classes-with-recurrent-neural-networks-2001.08379</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-summary-of-value-level-feature-attribution-in-prediction-classes-with-recurrent-neural-networks-2001.08379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-summary-of-value-level-feature-attribution-in-prediction-classes-with-recurrent-neural-networks-2001.08379"/></url>
<url><loc>https://scifaro.com/en/abs/team-an-taylor-expansion-based-method-for-generating-adversarial-examples-2001.08389</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/team-an-taylor-expansion-based-method-for-generating-adversarial-examples-2001.08389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/team-an-taylor-expansion-based-method-for-generating-adversarial-examples-2001.08389"/></url>
<url><loc>https://scifaro.com/en/abs/stacked-boosters-network-architecture-for-short-term-load-forecasting-in-buildings-2001.08406</loc><lastmod>2020-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stacked-boosters-network-architecture-for-short-term-load-forecasting-in-buildings-2001.08406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stacked-boosters-network-architecture-for-short-term-load-forecasting-in-buildings-2001.08406"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-neural-architecture-search-via-non-stationary-policy-gradient-2001.08437</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-neural-architecture-search-via-non-stationary-policy-gradient-2001.08437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-neural-architecture-search-via-non-stationary-policy-gradient-2001.08437"/></url>
<url><loc>https://scifaro.com/en/abs/low-complexity-lstm-training-and-inference-with-floatsd8-weight-representation-2001.08450</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-complexity-lstm-training-and-inference-with-floatsd8-weight-representation-2001.08450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-complexity-lstm-training-and-inference-with-floatsd8-weight-representation-2001.08450"/></url>
<url><loc>https://scifaro.com/en/abs/ada-lista-learned-solvers-adaptive-to-varying-models-2001.08456</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ada-lista-learned-solvers-adaptive-to-varying-models-2001.08456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ada-lista-learned-solvers-adaptive-to-varying-models-2001.08456"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-grasp-detection-by-representation-learning-in-a-vector-quantized-latent-space-2001.08477</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-grasp-detection-by-representation-learning-in-a-vector-quantized-latent-space-2001.08477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-grasp-detection-by-representation-learning-in-a-vector-quantized-latent-space-2001.08477"/></url>
<url><loc>https://scifaro.com/en/abs/pelican-a-deep-residual-network-for-network-intrusion-detection-2001.08523</loc><lastmod>2020-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pelican-a-deep-residual-network-for-network-intrusion-detection-2001.08523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pelican-a-deep-residual-network-for-network-intrusion-detection-2001.08523"/></url>
<url><loc>https://scifaro.com/en/abs/information-compensation-for-deep-conditional-generative-networks-2001.08559</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-compensation-for-deep-conditional-generative-networks-2001.08559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-compensation-for-deep-conditional-generative-networks-2001.08559"/></url>
<url><loc>https://scifaro.com/en/abs/toward-a-controllable-disentanglement-network-2001.08572</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-a-controllable-disentanglement-network-2001.08572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-a-controllable-disentanglement-network-2001.08572"/></url>
<url><loc>https://scifaro.com/en/abs/rpn-a-residual-pooling-network-for-efficient-federated-learning-2001.08600</loc><lastmod>2020-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rpn-a-residual-pooling-network-for-efficient-federated-learning-2001.08600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rpn-a-residual-pooling-network-for-efficient-federated-learning-2001.08600"/></url>
<url><loc>https://scifaro.com/en/abs/deep-technology-tracing-for-high-tech-companies-2001.08606</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-technology-tracing-for-high-tech-companies-2001.08606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-technology-tracing-for-high-tech-companies-2001.08606"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-properties-of-emergent-languages-in-deep-learning-2001.08618</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-properties-of-emergent-languages-in-deep-learning-2001.08618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-properties-of-emergent-languages-in-deep-learning-2001.08618"/></url>
<url><loc>https://scifaro.com/en/abs/smart-chest-x-ray-worklist-prioritization-using-artificial-intelligence-a-clinical-workflow-simulation-2001.08625</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smart-chest-x-ray-worklist-prioritization-using-artificial-intelligence-a-clinical-workflow-simulation-2001.08625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smart-chest-x-ray-worklist-prioritization-using-artificial-intelligence-a-clinical-workflow-simulation-2001.08625"/></url>
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<url><loc>https://scifaro.com/en/abs/best-arm-identification-for-cascading-bandits-in-the-fixed-confidence-setting-2001.08655</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-arm-identification-for-cascading-bandits-in-the-fixed-confidence-setting-2001.08655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-arm-identification-for-cascading-bandits-in-the-fixed-confidence-setting-2001.08655"/></url>
<url><loc>https://scifaro.com/en/abs/towards-automatic-clustering-analysis-using-traces-of-information-gain-the-infoguide-method-2001.08677</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-automatic-clustering-analysis-using-traces-of-information-gain-the-infoguide-method-2001.08677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-automatic-clustering-analysis-using-traces-of-information-gain-the-infoguide-method-2001.08677"/></url>
<url><loc>https://scifaro.com/en/abs/expected-information-maximization-using-the-i-projection-for-mixture-density-estimation-2001.08682</loc><lastmod>2020-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expected-information-maximization-using-the-i-projection-for-mixture-density-estimation-2001.08682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expected-information-maximization-using-the-i-projection-for-mixture-density-estimation-2001.08682"/></url>
<url><loc>https://scifaro.com/en/abs/chameleon-adaptive-code-optimization-for-expedited-deep-neural-network-compilation-2001.08743</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chameleon-adaptive-code-optimization-for-expedited-deep-neural-network-compilation-2001.08743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chameleon-adaptive-code-optimization-for-expedited-deep-neural-network-compilation-2001.08743"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-the-representation-error-of-gan-image-priors-using-the-deep-decoder-2001.08747</loc><lastmod>2025-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-the-representation-error-of-gan-image-priors-using-the-deep-decoder-2001.08747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-the-representation-error-of-gan-image-priors-using-the-deep-decoder-2001.08747"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-and-energy-efficient-mlc-stt-ram-buffer-for-cnn-accelerators-2001.08806</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-and-energy-efficient-mlc-stt-ram-buffer-for-cnn-accelerators-2001.08806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-and-energy-efficient-mlc-stt-ram-buffer-for-cnn-accelerators-2001.08806"/></url>
<url><loc>https://scifaro.com/en/abs/universal-data-anomaly-detection-via-inverse-generative-adversary-network-2001.08809</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-data-anomaly-detection-via-inverse-generative-adversary-network-2001.08809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-data-anomaly-detection-via-inverse-generative-adversary-network-2001.08809"/></url>
<url><loc>https://scifaro.com/en/abs/localization-of-critical-findings-in-chest-x-ray-without-local-annotations-using-multi-instance-learning-2001.08817</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/localization-of-critical-findings-in-chest-x-ray-without-local-annotations-using-multi-instance-learning-2001.08817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/localization-of-critical-findings-in-chest-x-ray-without-local-annotations-using-multi-instance-learning-2001.08817"/></url>
<url><loc>https://scifaro.com/en/abs/graph-constrained-reinforcement-learning-for-natural-language-action-spaces-2001.08837</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-constrained-reinforcement-learning-for-natural-language-action-spaces-2001.08837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-constrained-reinforcement-learning-for-natural-language-action-spaces-2001.08837"/></url>
<url><loc>https://scifaro.com/en/abs/ss-auto-a-single-shot-automatic-structured-weight-pruning-framework-of-dnns-with-ultra-high-efficiency-2001.08839</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ss-auto-a-single-shot-automatic-structured-weight-pruning-framework-of-dnns-with-ultra-high-efficiency-2001.08839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ss-auto-a-single-shot-automatic-structured-weight-pruning-framework-of-dnns-with-ultra-high-efficiency-2001.08839"/></url>
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<url><loc>https://scifaro.com/en/abs/simple-and-effective-prevention-of-mode-collapse-in-deep-one-class-classification-2001.08873</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-and-effective-prevention-of-mode-collapse-in-deep-one-class-classification-2001.08873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-and-effective-prevention-of-mode-collapse-in-deep-one-class-classification-2001.08873"/></url>
<url><loc>https://scifaro.com/en/abs/pairnets-novel-fast-shallow-artificial-neural-networks-on-partitioned-subspaces-2001.08886</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pairnets-novel-fast-shallow-artificial-neural-networks-on-partitioned-subspaces-2001.08886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pairnets-novel-fast-shallow-artificial-neural-networks-on-partitioned-subspaces-2001.08886"/></url>
<url><loc>https://scifaro.com/en/abs/compressing-language-models-using-doped-kronecker-products-2001.08896</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressing-language-models-using-doped-kronecker-products-2001.08896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressing-language-models-using-doped-kronecker-products-2001.08896"/></url>
<url><loc>https://scifaro.com/en/abs/repad-real-time-proactive-anomaly-detection-for-time-series-2001.08922</loc><lastmod>2023-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/repad-real-time-proactive-anomaly-detection-for-time-series-2001.08922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/repad-real-time-proactive-anomaly-detection-for-time-series-2001.08922"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-entity-alignment-2001.08943</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-entity-alignment-2001.08943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-entity-alignment-2001.08943"/></url>
<url><loc>https://scifaro.com/en/abs/power-bert-accelerating-bert-inference-via-progressive-word-vector-elimination-2001.08950</loc><lastmod>2020-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-bert-accelerating-bert-inference-via-progressive-word-vector-elimination-2001.08950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-bert-accelerating-bert-inference-via-progressive-word-vector-elimination-2001.08950"/></url>
<url><loc>https://scifaro.com/en/abs/magnet-discovering-multi-agent-interaction-dynamics-using-neural-network-2001.09001</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/magnet-discovering-multi-agent-interaction-dynamics-using-neural-network-2001.09001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/magnet-discovering-multi-agent-interaction-dynamics-using-neural-network-2001.09001"/></url>
<url><loc>https://scifaro.com/en/abs/theoretically-expressive-and-edge-aware-graph-learning-2001.09005</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretically-expressive-and-edge-aware-graph-learning-2001.09005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretically-expressive-and-edge-aware-graph-learning-2001.09005"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-learning-meets-ride-sharing-user-experience-enhancement-2001.09027</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-learning-meets-ride-sharing-user-experience-enhancement-2001.09027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-learning-meets-ride-sharing-user-experience-enhancement-2001.09027"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-for-compositional-data-using-measurements-from-nonlinear-systems-using-artificial-neural-networks-2001.09040</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-for-compositional-data-using-measurements-from-nonlinear-systems-using-artificial-neural-networks-2001.09040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-for-compositional-data-using-measurements-from-nonlinear-systems-using-artificial-neural-networks-2001.09040"/></url>
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<url><loc>https://scifaro.com/en/abs/kernel-of-cyclegan-as-a-principle-homogeneous-space-2001.09061</loc><lastmod>2020-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-of-cyclegan-as-a-principle-homogeneous-space-2001.09061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-of-cyclegan-as-a-principle-homogeneous-space-2001.09061"/></url>
<url><loc>https://scifaro.com/en/abs/towards-graph-representation-learning-in-emergent-communication-2001.09063</loc><lastmod>2020-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-graph-representation-learning-in-emergent-communication-2001.09063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-graph-representation-learning-in-emergent-communication-2001.09063"/></url>
<url><loc>https://scifaro.com/en/abs/reasoning-about-generalization-via-conditional-mutual-information-2001.09122</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reasoning-about-generalization-via-conditional-mutual-information-2001.09122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reasoning-about-generalization-via-conditional-mutual-information-2001.09122"/></url>
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<url><loc>https://scifaro.com/en/abs/tifl-a-tier-based-federated-learning-system-2001.09249</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tifl-a-tier-based-federated-learning-system-2001.09249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tifl-a-tier-based-federated-learning-system-2001.09249"/></url>
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<url><loc>https://scifaro.com/en/abs/inference-in-multi-layer-networks-with-matrix-valued-unknowns-2001.09396</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-in-multi-layer-networks-with-matrix-valued-unknowns-2001.09396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-in-multi-layer-networks-with-matrix-valued-unknowns-2001.09396"/></url>
<url><loc>https://scifaro.com/en/abs/litemort-a-memory-efficient-gradient-boosting-tree-system-on-adaptive-compact-distributions-2001.09419</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/litemort-a-memory-efficient-gradient-boosting-tree-system-on-adaptive-compact-distributions-2001.09419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/litemort-a-memory-efficient-gradient-boosting-tree-system-on-adaptive-compact-distributions-2001.09419"/></url>
<url><loc>https://scifaro.com/en/abs/tractable-reinforcement-learning-of-signal-temporal-logic-objectives-2001.09467</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tractable-reinforcement-learning-of-signal-temporal-logic-objectives-2001.09467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tractable-reinforcement-learning-of-signal-temporal-logic-objectives-2001.09467"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-data-fusion-based-on-the-global-workspace-theory-2001.09485</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-data-fusion-based-on-the-global-workspace-theory-2001.09485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-data-fusion-based-on-the-global-workspace-theory-2001.09485"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-noise-simulation-to-handle-uncertainty-about-gradient-based-adversarial-attacks-2001.09486</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-noise-simulation-to-handle-uncertainty-about-gradient-based-adversarial-attacks-2001.09486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-noise-simulation-to-handle-uncertainty-about-gradient-based-adversarial-attacks-2001.09486"/></url>
<url><loc>https://scifaro.com/en/abs/an-interpretable-semi-supervised-classifier-using-two-different-strategies-for-amended-self-labeling-2001.09502</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-interpretable-semi-supervised-classifier-using-two-different-strategies-for-amended-self-labeling-2001.09502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-interpretable-semi-supervised-classifier-using-two-different-strategies-for-amended-self-labeling-2001.09502"/></url>
<url><loc>https://scifaro.com/en/abs/imperfect-imaganation-implications-of-gans-exacerbating-biases-on-facial-data-augmentation-and-snapchat-selfie-lenses-2001.09528</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imperfect-imaganation-implications-of-gans-exacerbating-biases-on-facial-data-augmentation-and-snapchat-selfie-lenses-2001.09528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imperfect-imaganation-implications-of-gans-exacerbating-biases-on-facial-data-augmentation-and-snapchat-selfie-lenses-2001.09528"/></url>
<url><loc>https://scifaro.com/en/abs/a-clustering-approach-to-time-series-forecasting-using-neural-networks-a-comparative-study-on-distance-based-vs-feature-based-clustering-methods-2001.09547</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-clustering-approach-to-time-series-forecasting-using-neural-networks-a-comparative-study-on-distance-based-vs-feature-based-clustering-methods-2001.09547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-clustering-approach-to-time-series-forecasting-using-neural-networks-a-comparative-study-on-distance-based-vs-feature-based-clustering-methods-2001.09547"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-learning-from-demonstration-2001.09569</loc><lastmod>2020-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-learning-from-demonstration-2001.09569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-learning-from-demonstration-2001.09569"/></url>
<url><loc>https://scifaro.com/en/abs/naive-exploration-is-optimal-for-online-lqr-2001.09576</loc><lastmod>2023-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/naive-exploration-is-optimal-for-online-lqr-2001.09576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/naive-exploration-is-optimal-for-online-lqr-2001.09576"/></url>
<url><loc>https://scifaro.com/en/abs/developing-multi-task-recommendations-with-long-term-rewards-via-policy-distilled-reinforcement-learning-2001.09595</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/developing-multi-task-recommendations-with-long-term-rewards-via-policy-distilled-reinforcement-learning-2001.09595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/developing-multi-task-recommendations-with-long-term-rewards-via-policy-distilled-reinforcement-learning-2001.09595"/></url>
<url><loc>https://scifaro.com/en/abs/some-insights-into-lifelong-reinforcement-learning-systems-2001.09608</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-insights-into-lifelong-reinforcement-learning-systems-2001.09608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-insights-into-lifelong-reinforcement-learning-systems-2001.09608"/></url>
<url><loc>https://scifaro.com/en/abs/deep-graph-matching-consensus-2001.09621</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-graph-matching-consensus-2001.09621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-graph-matching-consensus-2001.09621"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduction-with-sparse-gradients-2001.09623</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduction-with-sparse-gradients-2001.09623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduction-with-sparse-gradients-2001.09623"/></url>
<url><loc>https://scifaro.com/en/abs/performance-analysis-and-comparison-of-machine-and-deep-learning-algorithms-for-iot-data-classification-2001.09636</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-analysis-and-comparison-of-machine-and-deep-learning-algorithms-for-iot-data-classification-2001.09636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-analysis-and-comparison-of-machine-and-deep-learning-algorithms-for-iot-data-classification-2001.09636"/></url>
<url><loc>https://scifaro.com/en/abs/structural-information-learning-machinery-learning-from-observing-associating-optimizing-decoding-and-abstracting-2001.09637</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-information-learning-machinery-learning-from-observing-associating-optimizing-decoding-and-abstracting-2001.09637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-information-learning-machinery-learning-from-observing-associating-optimizing-decoding-and-abstracting-2001.09637"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-in-machine-learning-r-enyi-min-entropy-vs-shannon-entropy-2001.09654</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-in-machine-learning-r-enyi-min-entropy-vs-shannon-entropy-2001.09654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-in-machine-learning-r-enyi-min-entropy-vs-shannon-entropy-2001.09654"/></url>
<url><loc>https://scifaro.com/en/abs/challenges-and-countermeasures-for-adversarial-attacks-on-deep-reinforcement-learning-2001.09684</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-and-countermeasures-for-adversarial-attacks-on-deep-reinforcement-learning-2001.09684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-and-countermeasures-for-adversarial-attacks-on-deep-reinforcement-learning-2001.09684"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-high-frequency-nutrient-concentrations-from-water-quality-surrogates-using-machine-learning-methods-2001.09695</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-high-frequency-nutrient-concentrations-from-water-quality-surrogates-using-machine-learning-methods-2001.09695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-high-frequency-nutrient-concentrations-from-water-quality-surrogates-using-machine-learning-methods-2001.09695"/></url>
<url><loc>https://scifaro.com/en/abs/dp-cgan-differentially-private-synthetic-data-and-label-generation-2001.09700</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dp-cgan-differentially-private-synthetic-data-and-label-generation-2001.09700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dp-cgan-differentially-private-synthetic-data-and-label-generation-2001.09700"/></url>
<url><loc>https://scifaro.com/en/abs/one-explanation-does-not-fit-all-the-promise-of-interactive-explanations-for-machine-learning-transparency-2001.09734</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-explanation-does-not-fit-all-the-promise-of-interactive-explanations-for-machine-learning-transparency-2001.09734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-explanation-does-not-fit-all-the-promise-of-interactive-explanations-for-machine-learning-transparency-2001.09734"/></url>
<url><loc>https://scifaro.com/en/abs/moment-matching-conditions-for-exponential-families-with-conditioning-or-hidden-data-2001.09771</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moment-matching-conditions-for-exponential-families-with-conditioning-or-hidden-data-2001.09771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moment-matching-conditions-for-exponential-families-with-conditioning-or-hidden-data-2001.09771"/></url>
<url><loc>https://scifaro.com/en/abs/dalc-distributed-automatic-lstm-customization-for-fine-grained-traffic-speed-prediction-2001.09821</loc><lastmod>2020-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dalc-distributed-automatic-lstm-customization-for-fine-grained-traffic-speed-prediction-2001.09821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dalc-distributed-automatic-lstm-customization-for-fine-grained-traffic-speed-prediction-2001.09821"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-based-modulation-for-lifelong-learning-2001.09822</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-based-modulation-for-lifelong-learning-2001.09822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-based-modulation-for-lifelong-learning-2001.09822"/></url>
<url><loc>https://scifaro.com/en/abs/polygames-improved-zero-learning-2001.09832</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polygames-improved-zero-learning-2001.09832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polygames-improved-zero-learning-2001.09832"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-interpolation-of-feature-vectors-for-accurate-few-shot-classification-2001.09849</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-interpolation-of-feature-vectors-for-accurate-few-shot-classification-2001.09849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-interpolation-of-feature-vectors-for-accurate-few-shot-classification-2001.09849"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-shared-multi-sequence-time-series-segmentation-2001.09886</loc><lastmod>2020-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-shared-multi-sequence-time-series-segmentation-2001.09886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-shared-multi-sequence-time-series-segmentation-2001.09886"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-yield-performance-of-parents-in-plant-breeding-a-neural-collaborative-filtering-approach-2001.09902</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-yield-performance-of-parents-in-plant-breeding-a-neural-collaborative-filtering-approach-2001.09902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-yield-performance-of-parents-in-plant-breeding-a-neural-collaborative-filtering-approach-2001.09902"/></url>
<url><loc>https://scifaro.com/en/abs/rotation-translation-and-cropping-for-zero-shot-generalization-2001.09908</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rotation-translation-and-cropping-for-zero-shot-generalization-2001.09908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rotation-translation-and-cropping-for-zero-shot-generalization-2001.09908"/></url>
<url><loc>https://scifaro.com/en/abs/generating-natural-adversarial-hyperspectral-examples-with-a-modified-wasserstein-gan-2001.09993</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-natural-adversarial-hyperspectral-examples-with-a-modified-wasserstein-gan-2001.09993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-natural-adversarial-hyperspectral-examples-with-a-modified-wasserstein-gan-2001.09993"/></url>
<url><loc>https://scifaro.com/en/abs/a-primer-on-domain-adaptation-2001.09994</loc><lastmod>2020-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-primer-on-domain-adaptation-2001.09994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-primer-on-domain-adaptation-2001.09994"/></url>
<url><loc>https://scifaro.com/en/abs/variational-optimization-on-lie-groups-with-examples-of-leading-generalized-eigenvalue-problems-2001.10006</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-optimization-on-lie-groups-with-examples-of-leading-generalized-eigenvalue-problems-2001.10006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-optimization-on-lie-groups-with-examples-of-leading-generalized-eigenvalue-problems-2001.10006"/></url>
<url><loc>https://scifaro.com/en/abs/stagenet-stage-aware-neural-networks-for-health-risk-prediction-2001.10054</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stagenet-stage-aware-neural-networks-for-health-risk-prediction-2001.10054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stagenet-stage-aware-neural-networks-for-health-risk-prediction-2001.10054"/></url>
<url><loc>https://scifaro.com/en/abs/ballooning-multi-armed-bandits-2001.10055</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ballooning-multi-armed-bandits-2001.10055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ballooning-multi-armed-bandits-2001.10055"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-machine-learning-control-robust-control-and-stability-analysis-2001.10056</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-machine-learning-control-robust-control-and-stability-analysis-2001.10056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-machine-learning-control-robust-control-and-stability-analysis-2001.10056"/></url>
<url><loc>https://scifaro.com/en/abs/medi-care-ai-predicting-medications-from-billing-codes-via-robust-recurrent-neural-networks-2001.10065</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/medi-care-ai-predicting-medications-from-billing-codes-via-robust-recurrent-neural-networks-2001.10065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/medi-care-ai-predicting-medications-from-billing-codes-via-robust-recurrent-neural-networks-2001.10065"/></url>
<url><loc>https://scifaro.com/en/abs/non-parametric-learning-of-lifted-restricted-boltzmann-machines-2001.10070</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-parametric-learning-of-lifted-restricted-boltzmann-machines-2001.10070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-parametric-learning-of-lifted-restricted-boltzmann-machines-2001.10070"/></url>
<url><loc>https://scifaro.com/en/abs/libtwinsvm-a-library-for-twin-support-vector-machines-2001.10073</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/libtwinsvm-a-library-for-twin-support-vector-machines-2001.10073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/libtwinsvm-a-library-for-twin-support-vector-machines-2001.10073"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-prediction-in-time-series-data-using-deep-neural-networks-2001.10098</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-prediction-in-time-series-data-using-deep-neural-networks-2001.10098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-prediction-in-time-series-data-using-deep-neural-networks-2001.10098"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-learning-for-non-sequential-data-a-canonical-polyadic-decomposition-approach-2001.10109</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-learning-for-non-sequential-data-a-canonical-polyadic-decomposition-approach-2001.10109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-learning-for-non-sequential-data-a-canonical-polyadic-decomposition-approach-2001.10109"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-program-synthesis-for-images-by-sampling-without-replacement-2001.10119</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-program-synthesis-for-images-by-sampling-without-replacement-2001.10119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-program-synthesis-for-images-by-sampling-without-replacement-2001.10119"/></url>
<url><loc>https://scifaro.com/en/abs/regret-bounds-for-decentralized-learning-in-cooperative-multi-agent-dynamical-systems-2001.10122</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-bounds-for-decentralized-learning-in-cooperative-multi-agent-dynamical-systems-2001.10122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-bounds-for-decentralized-learning-in-cooperative-multi-agent-dynamical-systems-2001.10122"/></url>
<url><loc>https://scifaro.com/en/abs/coke-communication-censored-decentralized-kernel-learning-2001.10133</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coke-communication-censored-decentralized-kernel-learning-2001.10133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coke-communication-censored-decentralized-kernel-learning-2001.10133"/></url>
<url><loc>https://scifaro.com/en/abs/faster-activity-and-data-detection-in-massive-random-access-a-multi-armed-bandit-approach-2001.10237</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-activity-and-data-detection-in-massive-random-access-a-multi-armed-bandit-approach-2001.10237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-activity-and-data-detection-in-massive-random-access-a-multi-armed-bandit-approach-2001.10237"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-generative-models-with-continuous-factors-of-variations-2001.10238</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-generative-models-with-continuous-factors-of-variations-2001.10238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-generative-models-with-continuous-factors-of-variations-2001.10238"/></url>
<url><loc>https://scifaro.com/en/abs/margin-maximization-as-lossless-maximal-compression-2001.10318</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/margin-maximization-as-lossless-maximal-compression-2001.10318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/margin-maximization-as-lossless-maximal-compression-2001.10318"/></url>
<url><loc>https://scifaro.com/en/abs/multi-source-deep-domain-adaptation-for-quality-control-in-retail-food-packaging-2001.10335</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-source-deep-domain-adaptation-for-quality-control-in-retail-food-packaging-2001.10335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-source-deep-domain-adaptation-for-quality-control-in-retail-food-packaging-2001.10335"/></url>
<url><loc>https://scifaro.com/en/abs/eigen-stratified-models-2001.10389</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigen-stratified-models-2001.10389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigen-stratified-models-2001.10389"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neighborhood-attentive-pooling-2001.10394</loc><lastmod>2020-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neighborhood-attentive-pooling-2001.10394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neighborhood-attentive-pooling-2001.10394"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-optimisation-of-functions-in-the-mat-ern-kernel-rkhs-2001.10396</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-optimisation-of-functions-in-the-mat-ern-kernel-rkhs-2001.10396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-optimisation-of-functions-in-the-mat-ern-kernel-rkhs-2001.10396"/></url>
<url><loc>https://scifaro.com/en/abs/qactor-on-line-active-learning-for-noisy-labeled-stream-data-2001.10399</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qactor-on-line-active-learning-for-noisy-labeled-stream-data-2001.10399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qactor-on-line-active-learning-for-noisy-labeled-stream-data-2001.10399"/></url>
<url><loc>https://scifaro.com/en/abs/opfython-a-python-inspired-optimum-path-forest-classifier-2001.10420</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opfython-a-python-inspired-optimum-path-forest-classifier-2001.10420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opfython-a-python-inspired-optimum-path-forest-classifier-2001.10420"/></url>
<url><loc>https://scifaro.com/en/abs/nas-bench-1shot1-benchmarking-and-dissecting-one-shot-neural-architecture-search-2001.10422</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nas-bench-1shot1-benchmarking-and-dissecting-one-shot-neural-architecture-search-2001.10422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nas-bench-1shot1-benchmarking-and-dissecting-one-shot-neural-architecture-search-2001.10422"/></url>
<url><loc>https://scifaro.com/en/abs/on-random-kernels-of-residual-architectures-2001.10460</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-random-kernels-of-residual-architectures-2001.10460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-random-kernels-of-residual-architectures-2001.10460"/></url>
<url><loc>https://scifaro.com/en/abs/coagent-networks-revisited-2001.10474</loc><lastmod>2023-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coagent-networks-revisited-2001.10474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coagent-networks-revisited-2001.10474"/></url>
<url><loc>https://scifaro.com/en/abs/graph-metric-learning-via-gershgorin-disc-alignment-2001.10485</loc><lastmod>2020-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-metric-learning-via-gershgorin-disc-alignment-2001.10485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-metric-learning-via-gershgorin-disc-alignment-2001.10485"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-out-of-distribution-detection-in-learning-enabled-cyber-physical-systems-2001.10494</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-out-of-distribution-detection-in-learning-enabled-cyber-physical-systems-2001.10494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-out-of-distribution-detection-in-learning-enabled-cyber-physical-systems-2001.10494"/></url>
<url><loc>https://scifaro.com/en/abs/rich-item-recommendations-for-rich-users-exploiting-dynamic-and-static-side-information-2001.10495</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rich-item-recommendations-for-rich-users-exploiting-dynamic-and-static-side-information-2001.10495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rich-item-recommendations-for-rich-users-exploiting-dynamic-and-static-side-information-2001.10495"/></url>
<url><loc>https://scifaro.com/en/abs/mse-optimal-neural-network-initialization-via-layer-fusion-2001.10509</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mse-optimal-neural-network-initialization-via-layer-fusion-2001.10509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mse-optimal-neural-network-initialization-via-layer-fusion-2001.10509"/></url>
<url><loc>https://scifaro.com/en/abs/tri-graph-information-propagation-for-polypharmacy-side-effect-prediction-2001.10516</loc><lastmod>2020-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tri-graph-information-propagation-for-polypharmacy-side-effect-prediction-2001.10516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tri-graph-information-propagation-for-polypharmacy-side-effect-prediction-2001.10516"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-mislabeled-data-using-the-area-under-the-margin-ranking-2001.10528</loc><lastmod>2020-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-mislabeled-data-using-the-area-under-the-margin-ranking-2001.10528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-mislabeled-data-using-the-area-under-the-margin-ranking-2001.10528"/></url>
<url><loc>https://scifaro.com/en/abs/the-keen-universe-an-ecosystem-for-knowledge-graph-embeddings-with-a-focus-on-reproducibility-and-transferability-2001.10560</loc><lastmod>2020-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-keen-universe-an-ecosystem-for-knowledge-graph-embeddings-with-a-focus-on-reproducibility-and-transferability-2001.10560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-keen-universe-an-ecosystem-for-knowledge-graph-embeddings-with-a-focus-on-reproducibility-and-transferability-2001.10560"/></url>
<url><loc>https://scifaro.com/en/abs/landmark2vec-an-unsupervised-neural-network-based-landmark-positioning-method-2001.10568</loc><lastmod>2020-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/landmark2vec-an-unsupervised-neural-network-based-landmark-positioning-method-2001.10568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/landmark2vec-an-unsupervised-neural-network-based-landmark-positioning-method-2001.10568"/></url>
<url><loc>https://scifaro.com/en/abs/fast-rates-for-online-prediction-with-abstention-2001.10623</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-rates-for-online-prediction-with-abstention-2001.10623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-rates-for-online-prediction-with-abstention-2001.10623"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-and-quantifying-membership-information-leakage-in-machine-learning-2001.10648</loc><lastmod>2020-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-and-quantifying-membership-information-leakage-in-machine-learning-2001.10648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-and-quantifying-membership-information-leakage-in-machine-learning-2001.10648"/></url>
<url><loc>https://scifaro.com/en/abs/treatment-effect-estimation-with-disentangled-latent-factors-2001.10652</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/treatment-effect-estimation-with-disentangled-latent-factors-2001.10652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/treatment-effect-estimation-with-disentangled-latent-factors-2001.10652"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-helps-with-mitigating-poisoning-attacks-distributionally-robust-machine-learning-using-the-wasserstein-distance-2001.10655</loc><lastmod>2020-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-helps-with-mitigating-poisoning-attacks-distributionally-robust-machine-learning-using-the-wasserstein-distance-2001.10655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-helps-with-mitigating-poisoning-attacks-distributionally-robust-machine-learning-using-the-wasserstein-distance-2001.10655"/></url>
<url><loc>https://scifaro.com/en/abs/the-indian-chefs-process-2001.10657</loc><lastmod>2020-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-indian-chefs-process-2001.10657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-indian-chefs-process-2001.10657"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-neural-architecture-search-using-a-training-free-performance-metric-2001.10726</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-neural-architecture-search-using-a-training-free-performance-metric-2001.10726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-neural-architecture-search-using-a-training-free-performance-metric-2001.10726"/></url>
<url><loc>https://scifaro.com/en/abs/extreme-algorithm-selection-with-dyadic-feature-representation-2001.10741</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extreme-algorithm-selection-with-dyadic-feature-representation-2001.10741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extreme-algorithm-selection-with-dyadic-feature-representation-2001.10741"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotically-efficient-off-policy-evaluation-for-tabular-reinforcement-learning-2001.10742</loc><lastmod>2020-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotically-efficient-off-policy-evaluation-for-tabular-reinforcement-learning-2001.10742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotically-efficient-off-policy-evaluation-for-tabular-reinforcement-learning-2001.10742"/></url>
<url><loc>https://scifaro.com/en/abs/reproducibility-challenge-neurips-2019-report-on-competitive-gradient-descent-2001.10820</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reproducibility-challenge-neurips-2019-report-on-competitive-gradient-descent-2001.10820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reproducibility-challenge-neurips-2019-report-on-competitive-gradient-descent-2001.10820"/></url>
<url><loc>https://scifaro.com/en/abs/variational-autoencoders-for-opponent-modeling-in-multi-agent-systems-2001.10829</loc><lastmod>2020-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-autoencoders-for-opponent-modeling-in-multi-agent-systems-2001.10829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-autoencoders-for-opponent-modeling-in-multi-agent-systems-2001.10829"/></url>
<url><loc>https://scifaro.com/en/abs/memo-a-deep-network-for-flexible-combination-of-episodic-memories-2001.10913</loc><lastmod>2020-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memo-a-deep-network-for-flexible-combination-of-episodic-memories-2001.10913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memo-a-deep-network-for-flexible-combination-of-episodic-memories-2001.10913"/></url>
<url><loc>https://scifaro.com/en/abs/examining-the-benefits-of-capsule-neural-networks-2001.10964</loc><lastmod>2020-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/examining-the-benefits-of-capsule-neural-networks-2001.10964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/examining-the-benefits-of-capsule-neural-networks-2001.10964"/></url>
<url><loc>https://scifaro.com/en/abs/the-case-for-bayesian-deep-learning-2001.10995</loc><lastmod>2020-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-case-for-bayesian-deep-learning-2001.10995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-case-for-bayesian-deep-learning-2001.10995"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-reasoning-with-trained-neural-networks-2001.11031</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-reasoning-with-trained-neural-networks-2001.11031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-reasoning-with-trained-neural-networks-2001.11031"/></url>
<url><loc>https://scifaro.com/en/abs/safe-predictors-for-enforcing-input-output-specifications-2001.11062</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-predictors-for-enforcing-input-output-specifications-2001.11062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-predictors-for-enforcing-input-output-specifications-2001.11062"/></url>
<url><loc>https://scifaro.com/en/abs/stream-learn-open-source-python-library-for-difficult-data-stream-batch-analysis-2001.11077</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stream-learn-open-source-python-library-for-difficult-data-stream-batch-analysis-2001.11077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stream-learn-open-source-python-library-for-difficult-data-stream-batch-analysis-2001.11077"/></url>
<url><loc>https://scifaro.com/en/abs/physics-guided-machine-learning-for-scientific-discovery-an-application-in-simulating-lake-temperature-profiles-2001.11086</loc><lastmod>2020-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-guided-machine-learning-for-scientific-discovery-an-application-in-simulating-lake-temperature-profiles-2001.11086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-guided-machine-learning-for-scientific-discovery-an-application-in-simulating-lake-temperature-profiles-2001.11086"/></url>
<url><loc>https://scifaro.com/en/abs/urban2vec-incorporating-street-view-imagery-and-pois-for-multi-modal-urban-neighborhood-embedding-2001.11101</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/urban2vec-incorporating-street-view-imagery-and-pois-for-multi-modal-urban-neighborhood-embedding-2001.11101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/urban2vec-incorporating-street-view-imagery-and-pois-for-multi-modal-urban-neighborhood-embedding-2001.11101"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-grammar-induction-for-detecting-anomalies-in-time-series-2001.11102</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-grammar-induction-for-detecting-anomalies-in-time-series-2001.11102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-grammar-induction-for-detecting-anomalies-in-time-series-2001.11102"/></url>
<url><loc>https://scifaro.com/en/abs/gradientdice-rethinking-generalized-offline-estimation-of-stationary-values-2001.11113</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradientdice-rethinking-generalized-offline-estimation-of-stationary-values-2001.11113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradientdice-rethinking-generalized-offline-estimation-of-stationary-values-2001.11113"/></url>
<url><loc>https://scifaro.com/en/abs/a-family-of-pairwise-multi-marginal-optimal-transports-that-define-a-generalized-metric-2001.11114</loc><lastmod>2022-12-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-family-of-pairwise-multi-marginal-optimal-transports-that-define-a-generalized-metric-2001.11114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-family-of-pairwise-multi-marginal-optimal-transports-that-define-a-generalized-metric-2001.11114"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-on-convolutional-neural-networks-in-facial-recognition-domain-2001.11137</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-on-convolutional-neural-networks-in-facial-recognition-domain-2001.11137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-on-convolutional-neural-networks-in-facial-recognition-domain-2001.11137"/></url>
<url><loc>https://scifaro.com/en/abs/a-graph-based-approach-for-active-learning-in-regression-2001.11143</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-graph-based-approach-for-active-learning-in-regression-2001.11143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-graph-based-approach-for-active-learning-in-regression-2001.11143"/></url>
<url><loc>https://scifaro.com/en/abs/multi-participant-multi-class-vertical-federated-learning-2001.11154</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-participant-multi-class-vertical-federated-learning-2001.11154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-participant-multi-class-vertical-federated-learning-2001.11154"/></url>
<url><loc>https://scifaro.com/en/abs/avatar-machine-learning-pipeline-evaluation-using-surrogate-model-2001.11158</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avatar-machine-learning-pipeline-evaluation-using-surrogate-model-2001.11158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avatar-machine-learning-pipeline-evaluation-using-surrogate-model-2001.11158"/></url>
<url><loc>https://scifaro.com/en/abs/how-does-bn-increase-collapsed-neural-network-filters-2001.11216</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-does-bn-increase-collapsed-neural-network-filters-2001.11216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-does-bn-increase-collapsed-neural-network-filters-2001.11216"/></url>
<url><loc>https://scifaro.com/en/abs/survey-of-deep-reinforcement-learning-for-motion-planning-of-autonomous-vehicles-2001.11231</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survey-of-deep-reinforcement-learning-for-motion-planning-of-autonomous-vehicles-2001.11231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survey-of-deep-reinforcement-learning-for-motion-planning-of-autonomous-vehicles-2001.11231"/></url>
<url><loc>https://scifaro.com/en/abs/learning-discrete-distributions-by-dequantization-2001.11235</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-discrete-distributions-by-dequantization-2001.11235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-discrete-distributions-by-dequantization-2001.11235"/></url>
<url><loc>https://scifaro.com/en/abs/better-multi-class-probability-estimates-for-small-data-sets-2001.11242</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-multi-class-probability-estimates-for-small-data-sets-2001.11242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-multi-class-probability-estimates-for-small-data-sets-2001.11242"/></url>
<url><loc>https://scifaro.com/en/abs/hamlet-a-learning-curve-enabled-multi-armed-bandit-for-algorithm-selection-2001.11261</loc><lastmod>2020-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamlet-a-learning-curve-enabled-multi-armed-bandit-for-algorithm-selection-2001.11261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamlet-a-learning-curve-enabled-multi-armed-bandit-for-algorithm-selection-2001.11261"/></url>
<url><loc>https://scifaro.com/en/abs/person-re-identification-implicitly-defining-the-receptive-fields-of-deep-learning-classification-frameworks-2001.11267</loc><lastmod>2020-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/person-re-identification-implicitly-defining-the-receptive-fields-of-deep-learning-classification-frameworks-2001.11267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/person-re-identification-implicitly-defining-the-receptive-fields-of-deep-learning-classification-frameworks-2001.11267"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-psychological-momentum-forecasting-in-esports-2001.11274</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-psychological-momentum-forecasting-in-esports-2001.11274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-psychological-momentum-forecasting-in-esports-2001.11274"/></url>
<url><loc>https://scifaro.com/en/abs/goal-directed-graph-construction-using-reinforcement-learning-2001.11279</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/goal-directed-graph-construction-using-reinforcement-learning-2001.11279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/goal-directed-graph-construction-using-reinforcement-learning-2001.11279"/></url>
<url><loc>https://scifaro.com/en/abs/which-way-direction-aware-attributed-graph-embedding-2001.11297</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-way-direction-aware-attributed-graph-embedding-2001.11297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-way-direction-aware-attributed-graph-embedding-2001.11297"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-for-aspect-based-sentiment-analysis-with-bert-2001.11316</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-for-aspect-based-sentiment-analysis-with-bert-2001.11316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-for-aspect-based-sentiment-analysis-with-bert-2001.11316"/></url>
<url><loc>https://scifaro.com/en/abs/on-constraint-definability-in-tractable-probabilistic-models-2001.11349</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-constraint-definability-in-tractable-probabilistic-models-2001.11349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-constraint-definability-in-tractable-probabilistic-models-2001.11349"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-deep-neural-networks-with-a-priori-knowledge-of-wireless-tasks-2001.11355</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-deep-neural-networks-with-a-priori-knowledge-of-wireless-tasks-2001.11355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-deep-neural-networks-with-a-priori-knowledge-of-wireless-tasks-2001.11355"/></url>
<url><loc>https://scifaro.com/en/abs/focus-dealing-with-label-quality-disparity-in-federated-learning-2001.11359</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/focus-dealing-with-label-quality-disparity-in-federated-learning-2001.11359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/focus-dealing-with-label-quality-disparity-in-federated-learning-2001.11359"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-saliency-map-generation-using-bayesian-optimisation-2001.11366</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-saliency-map-generation-using-bayesian-optimisation-2001.11366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-saliency-map-generation-using-bayesian-optimisation-2001.11366"/></url>
<url><loc>https://scifaro.com/en/abs/non-determinism-in-tensorflow-resnets-2001.11396</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-determinism-in-tensorflow-resnets-2001.11396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-determinism-in-tensorflow-resnets-2001.11396"/></url>
<url><loc>https://scifaro.com/en/abs/analysing-affective-behavior-in-the-first-abaw-2020-competition-2001.11409</loc><lastmod>2020-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysing-affective-behavior-in-the-first-abaw-2020-competition-2001.11409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysing-affective-behavior-in-the-first-abaw-2020-competition-2001.11409"/></url>
<url><loc>https://scifaro.com/en/abs/a-rigorous-framework-for-the-mean-field-limit-of-multilayer-neural-networks-2001.11443</loc><lastmod>2023-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-rigorous-framework-for-the-mean-field-limit-of-multilayer-neural-networks-2001.11443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-rigorous-framework-for-the-mean-field-limit-of-multilayer-neural-networks-2001.11443"/></url>
<url><loc>https://scifaro.com/en/abs/fase-al-adaptation-of-fast-adaptive-stacking-of-ensembles-for-supporting-active-learning-2001.11466</loc><lastmod>2020-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fase-al-adaptation-of-fast-adaptive-stacking-of-ensembles-for-supporting-active-learning-2001.11466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fase-al-adaptation-of-fast-adaptive-stacking-of-ensembles-for-supporting-active-learning-2001.11466"/></url>
<url><loc>https://scifaro.com/en/abs/mnist-net10-a-heterogeneous-deep-networks-fusion-based-on-the-degree-of-certainty-to-reach-0-1-error-rate-ensembles-overview-and-proposal-2001.11486</loc><lastmod>2020-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mnist-net10-a-heterogeneous-deep-networks-fusion-based-on-the-degree-of-certainty-to-reach-0-1-error-rate-ensembles-overview-and-proposal-2001.11486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mnist-net10-a-heterogeneous-deep-networks-fusion-based-on-the-degree-of-certainty-to-reach-0-1-error-rate-ensembles-overview-and-proposal-2001.11486"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-kernel-based-uncertainty-decomposition-framework-for-data-and-models-2001.11495</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-kernel-based-uncertainty-decomposition-framework-for-data-and-models-2001.11495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-kernel-based-uncertainty-decomposition-framework-for-data-and-models-2001.11495"/></url>
<url><loc>https://scifaro.com/en/abs/faster-projection-free-online-learning-2001.11568</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-projection-free-online-learning-2001.11568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-projection-free-online-learning-2001.11568"/></url>
<url><loc>https://scifaro.com/en/abs/concentration-inequalities-for-multinoulli-random-variables-2001.11595</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concentration-inequalities-for-multinoulli-random-variables-2001.11595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concentration-inequalities-for-multinoulli-random-variables-2001.11595"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adversarial-and-conditional-state-space-model-for-imitation-learning-2001.11628</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adversarial-and-conditional-state-space-model-for-imitation-learning-2001.11628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adversarial-and-conditional-state-space-model-for-imitation-learning-2001.11628"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-stochastic-gradient-descent-with-low-rank-projections-for-convex-low-rank-matrix-problems-2001.11668</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-stochastic-gradient-descent-with-low-rank-projections-for-convex-low-rank-matrix-problems-2001.11668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-stochastic-gradient-descent-with-low-rank-projections-for-convex-low-rank-matrix-problems-2001.11668"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-simple-learners-2001.11704</loc><lastmod>2024-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-simple-learners-2001.11704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-simple-learners-2001.11704"/></url>
<url><loc>https://scifaro.com/en/abs/stable-prediction-with-model-misspecification-and-agnostic-distribution-shift-2001.11713</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-prediction-with-model-misspecification-and-agnostic-distribution-shift-2001.11713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-prediction-with-model-misspecification-and-agnostic-distribution-shift-2001.11713"/></url>
<url><loc>https://scifaro.com/en/abs/locally-private-distributed-reinforcement-learning-2001.11718</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-private-distributed-reinforcement-learning-2001.11718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-private-distributed-reinforcement-learning-2001.11718"/></url>
<url><loc>https://scifaro.com/en/abs/local-intrinsic-dimensionality-estimators-based-on-concentration-of-measure-2001.11739</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-intrinsic-dimensionality-estimators-based-on-concentration-of-measure-2001.11739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-intrinsic-dimensionality-estimators-based-on-concentration-of-measure-2001.11739"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-stability-indices-for-lime-obtaining-reliable-explanations-for-machine-learning-models-2001.11757</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-stability-indices-for-lime-obtaining-reliable-explanations-for-machine-learning-models-2001.11757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-stability-indices-for-lime-obtaining-reliable-explanations-for-machine-learning-models-2001.11757"/></url>
<url><loc>https://scifaro.com/en/abs/encoding-based-memory-modules-for-recurrent-neural-networks-2001.11771</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encoding-based-memory-modules-for-recurrent-neural-networks-2001.11771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encoding-based-memory-modules-for-recurrent-neural-networks-2001.11771"/></url>
<url><loc>https://scifaro.com/en/abs/learning-perception-and-planning-with-deep-active-inference-2001.11841</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-perception-and-planning-with-deep-active-inference-2001.11841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-perception-and-planning-with-deep-active-inference-2001.11841"/></url>
<url><loc>https://scifaro.com/en/abs/semantic-discord-finding-unusual-local-patterns-for-time-series-2001.11842</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantic-discord-finding-unusual-local-patterns-for-time-series-2001.11842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantic-discord-finding-unusual-local-patterns-for-time-series-2001.11842"/></url>
<url><loc>https://scifaro.com/en/abs/quaternion-valued-recurrent-projection-neural-networks-on-unit-quaternions-2001.11846</loc><lastmod>2020-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quaternion-valued-recurrent-projection-neural-networks-on-unit-quaternions-2001.11846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quaternion-valued-recurrent-projection-neural-networks-on-unit-quaternions-2001.11846"/></url>
<url><loc>https://scifaro.com/en/abs/the-g-ateaux-hopfield-neural-network-method-2001.11853</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-g-ateaux-hopfield-neural-network-method-2001.11853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-g-ateaux-hopfield-neural-network-method-2001.11853"/></url>
<url><loc>https://scifaro.com/en/abs/verifying-tree-ensembles-by-reasoning-about-potential-instances-2001.11905</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/verifying-tree-ensembles-by-reasoning-about-potential-instances-2001.11905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/verifying-tree-ensembles-by-reasoning-about-potential-instances-2001.11905"/></url>
<url><loc>https://scifaro.com/en/abs/an-autonomous-intrusion-detection-system-using-an-ensemble-of-advanced-learners-2001.11936</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-autonomous-intrusion-detection-system-using-an-ensemble-of-advanced-learners-2001.11936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-autonomous-intrusion-detection-system-using-an-ensemble-of-advanced-learners-2001.11936"/></url>
<url><loc>https://scifaro.com/en/abs/consensus-based-optimization-on-the-sphere-convergence-to-global-minimizers-and-machine-learning-2001.11988</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consensus-based-optimization-on-the-sphere-convergence-to-global-minimizers-and-machine-learning-2001.11988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consensus-based-optimization-on-the-sphere-convergence-to-global-minimizers-and-machine-learning-2001.11988"/></url>
<url><loc>https://scifaro.com/en/abs/deontological-ethics-by-monotonicity-shape-constraints-2001.11990</loc><lastmod>2020-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deontological-ethics-by-monotonicity-shape-constraints-2001.11990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deontological-ethics-by-monotonicity-shape-constraints-2001.11990"/></url>
<url><loc>https://scifaro.com/en/abs/neural-mmo-v1-3-a-massively-multiagent-game-environment-for-training-and-evaluating-neural-networks-2001.12004</loc><lastmod>2020-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-mmo-v1-3-a-massively-multiagent-game-environment-for-training-and-evaluating-neural-networks-2001.12004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-mmo-v1-3-a-massively-multiagent-game-environment-for-training-and-evaluating-neural-networks-2001.12004"/></url>
<url><loc>https://scifaro.com/en/abs/theory-inspired-deep-network-for-instantaneous-frequency-extraction-and-signal-components-recovery-from-discrete-blind-source-data-2001.12006</loc><lastmod>2020-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-inspired-deep-network-for-instantaneous-frequency-extraction-and-signal-components-recovery-from-discrete-blind-source-data-2001.12006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-inspired-deep-network-for-instantaneous-frequency-extraction-and-signal-components-recovery-from-discrete-blind-source-data-2001.12006"/></url>
<url><loc>https://scifaro.com/en/abs/gating-creates-slow-modes-and-controls-phase-space-complexity-in-grus-and-lstms-2002.00025</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gating-creates-slow-modes-and-controls-phase-space-complexity-in-grus-and-lstms-2002.00025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gating-creates-slow-modes-and-controls-phase-space-complexity-in-grus-and-lstms-2002.00025"/></url>
<url><loc>https://scifaro.com/en/abs/hypercomplex-valued-recurrent-correlation-neural-networks-2002.00027</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypercomplex-valued-recurrent-correlation-neural-networks-2002.00027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypercomplex-valued-recurrent-correlation-neural-networks-2002.00027"/></url>
<url><loc>https://scifaro.com/en/abs/on-implicit-regularization-in-beta-vaes-2002.00041</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-implicit-regularization-in-beta-vaes-2002.00041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-implicit-regularization-in-beta-vaes-2002.00041"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-detection-of-burnt-areas-in-remote-sensing-using-hyper-features-evolved-by-m3gp-2002.00053</loc><lastmod>2020-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-detection-of-burnt-areas-in-remote-sensing-using-hyper-features-evolved-by-m3gp-2002.00053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-detection-of-burnt-areas-in-remote-sensing-using-hyper-features-evolved-by-m3gp-2002.00053"/></url>
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<url><loc>https://scifaro.com/en/abs/discretization-and-machine-learning-approximation-of-bsdes-with-a-constraint-on-the-gains-process-2002.02675</loc><lastmod>2020-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discretization-and-machine-learning-approximation-of-bsdes-with-a-constraint-on-the-gains-process-2002.02675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discretization-and-machine-learning-approximation-of-bsdes-with-a-constraint-on-the-gains-process-2002.02675"/></url>
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<url><loc>https://scifaro.com/en/abs/context-aware-image-annotation-in-active-learning-2002.02775</loc><lastmod>2020-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-aware-image-annotation-in-active-learning-2002.02775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-aware-image-annotation-in-active-learning-2002.02775"/></url>
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<url><loc>https://scifaro.com/en/abs/semantic-robustness-of-models-of-source-code-2002.03043</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantic-robustness-of-models-of-source-code-2002.03043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantic-robustness-of-models-of-source-code-2002.03043"/></url>
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<url><loc>https://scifaro.com/en/abs/manifold-for-machine-learning-assurance-2002.03147</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-for-machine-learning-assurance-2002.03147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-for-machine-learning-assurance-2002.03147"/></url>
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<url><loc>https://scifaro.com/en/abs/on-a-scalable-entropic-breaching-of-the-overfitting-barrier-in-machine-learning-2002.03176</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-a-scalable-entropic-breaching-of-the-overfitting-barrier-in-machine-learning-2002.03176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-a-scalable-entropic-breaching-of-the-overfitting-barrier-in-machine-learning-2002.03176"/></url>
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<url><loc>https://scifaro.com/en/abs/time-aware-large-kernel-convolutions-2002.03184</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-aware-large-kernel-convolutions-2002.03184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-aware-large-kernel-convolutions-2002.03184"/></url>
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<url><loc>https://scifaro.com/en/abs/inference-for-batched-bandits-2002.03217</loc><lastmod>2021-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-for-batched-bandits-2002.03217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-for-batched-bandits-2002.03217"/></url>
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<url><loc>https://scifaro.com/en/abs/robust-binary-classification-with-the-01-loss-2002.03444</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-binary-classification-with-the-01-loss-2002.03444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-binary-classification-with-the-01-loss-2002.03444"/></url>
<url><loc>https://scifaro.com/en/abs/relation-embedding-for-personalised-poi-recommendation-2002.03461</loc><lastmod>2020-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relation-embedding-for-personalised-poi-recommendation-2002.03461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relation-embedding-for-personalised-poi-recommendation-2002.03461"/></url>
<url><loc>https://scifaro.com/en/abs/projected-stein-variational-gradient-descent-2002.03469</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projected-stein-variational-gradient-descent-2002.03469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projected-stein-variational-gradient-descent-2002.03469"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-off-policy-evaluation-in-reinforcement-learning-by-highlighting-influential-transitions-2002.03478</loc><lastmod>2020-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-off-policy-evaluation-in-reinforcement-learning-by-highlighting-influential-transitions-2002.03478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-off-policy-evaluation-in-reinforcement-learning-by-highlighting-influential-transitions-2002.03478"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-class-discovery-2002.03480</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-class-discovery-2002.03480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-class-discovery-2002.03480"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-sequence-to-sequence-learning-models-for-if-then-program-synthesis-2002.03485</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-sequence-to-sequence-learning-models-for-if-then-program-synthesis-2002.03485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-sequence-to-sequence-learning-models-for-if-then-program-synthesis-2002.03485"/></url>
<url><loc>https://scifaro.com/en/abs/a-diffusion-theory-for-deep-learning-dynamics-stochastic-gradient-descent-exponentially-favors-flat-minima-2002.03495</loc><lastmod>2021-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-diffusion-theory-for-deep-learning-dynamics-stochastic-gradient-descent-exponentially-favors-flat-minima-2002.03495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-diffusion-theory-for-deep-learning-dynamics-stochastic-gradient-descent-exponentially-favors-flat-minima-2002.03495"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-domain-adaptation-by-causal-mechanism-transfer-2002.03497</loc><lastmod>2020-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-domain-adaptation-by-causal-mechanism-transfer-2002.03497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-domain-adaptation-by-causal-mechanism-transfer-2002.03497"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-submodular-maximization-at-scale-2002.03503</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-submodular-maximization-at-scale-2002.03503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-submodular-maximization-at-scale-2002.03503"/></url>
<url><loc>https://scifaro.com/en/abs/learning-stochastic-behaviour-from-aggregate-data-2002.03513</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-stochastic-behaviour-from-aggregate-data-2002.03513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-stochastic-behaviour-from-aggregate-data-2002.03513"/></url>
<url><loc>https://scifaro.com/en/abs/random-smoothing-might-be-unable-to-certify-ell-infty-robustness-for-high-dimensional-images-2002.03517</loc><lastmod>2020-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-smoothing-might-be-unable-to-certify-ell-infty-robustness-for-high-dimensional-images-2002.03517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-smoothing-might-be-unable-to-certify-ell-infty-robustness-for-high-dimensional-images-2002.03517"/></url>
<url><loc>https://scifaro.com/en/abs/self-attentive-associative-memory-2002.03519</loc><lastmod>2020-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-attentive-associative-memory-2002.03519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-attentive-associative-memory-2002.03519"/></url>
<url><loc>https://scifaro.com/en/abs/ugrwo-sampling-for-covid-19-dataset-a-modified-random-walk-under-sampling-approach-based-on-graphs-to-imbalanced-data-classification-2002.03521</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ugrwo-sampling-for-covid-19-dataset-a-modified-random-walk-under-sampling-approach-based-on-graphs-to-imbalanced-data-classification-2002.03521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ugrwo-sampling-for-covid-19-dataset-a-modified-random-walk-under-sampling-approach-based-on-graphs-to-imbalanced-data-classification-2002.03521"/></url>
<url><loc>https://scifaro.com/en/abs/submodular-maximization-through-barrier-functions-2002.03523</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/submodular-maximization-through-barrier-functions-2002.03523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/submodular-maximization-through-barrier-functions-2002.03523"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-improving-knowledge-distillation-2002.03532</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-improving-knowledge-distillation-2002.03532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-improving-knowledge-distillation-2002.03532"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-tcav-robust-and-effective-interpretation-of-intermediate-layers-in-neural-networks-2002.03549</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-tcav-robust-and-effective-interpretation-of-intermediate-layers-in-neural-networks-2002.03549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-tcav-robust-and-effective-interpretation-of-intermediate-layers-in-neural-networks-2002.03549"/></url>
<url><loc>https://scifaro.com/en/abs/a-spike-in-performance-training-hybrid-spiking-neural-networks-with-quantized-activation-functions-2002.03553</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spike-in-performance-training-hybrid-spiking-neural-networks-with-quantized-activation-functions-2002.03553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spike-in-performance-training-hybrid-spiking-neural-networks-with-quantized-activation-functions-2002.03553"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-learning-no-loss-no-cry-2002.03555</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-learning-no-loss-no-cry-2002.03555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-learning-no-loss-no-cry-2002.03555"/></url>
<url><loc>https://scifaro.com/en/abs/bilinear-graph-neural-network-with-neighbor-interactions-2002.03575</loc><lastmod>2020-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bilinear-graph-neural-network-with-neighbor-interactions-2002.03575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bilinear-graph-neural-network-with-neighbor-interactions-2002.03575"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-rnn-transducer-inference-via-one-step-constrained-beam-search-2002.03577</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-rnn-transducer-inference-via-one-step-constrained-beam-search-2002.03577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-rnn-transducer-inference-via-one-step-constrained-beam-search-2002.03577"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-semi-bandit-in-the-non-stationary-environment-2002.03580</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-semi-bandit-in-the-non-stationary-environment-2002.03580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-semi-bandit-in-the-non-stationary-environment-2002.03580"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-the-monte-carlo-exploring-starts-algorithm-for-reinforcement-learning-2002.03585</loc><lastmod>2022-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-the-monte-carlo-exploring-starts-algorithm-for-reinforcement-learning-2002.03585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-the-monte-carlo-exploring-starts-algorithm-for-reinforcement-learning-2002.03585"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-feedforward-computation-via-parallel-nonlinear-equation-solving-2002.03629</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-feedforward-computation-via-parallel-nonlinear-equation-solving-2002.03629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-feedforward-computation-via-parallel-nonlinear-equation-solving-2002.03629"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-online-optimization-using-kalman-recursion-2002.03636</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-online-optimization-using-kalman-recursion-2002.03636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-online-optimization-using-kalman-recursion-2002.03636"/></url>
<url><loc>https://scifaro.com/en/abs/explore-discover-and-learn-unsupervised-discovery-of-state-covering-skills-2002.03647</loc><lastmod>2020-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explore-discover-and-learn-unsupervised-discovery-of-state-covering-skills-2002.03647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explore-discover-and-learn-unsupervised-discovery-of-state-covering-skills-2002.03647"/></url>
<url><loc>https://scifaro.com/en/abs/anomalydae-dual-autoencoder-for-anomaly-detection-on-attributed-networks-2002.03665</loc><lastmod>2020-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomalydae-dual-autoencoder-for-anomaly-detection-on-attributed-networks-2002.03665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomalydae-dual-autoencoder-for-anomaly-detection-on-attributed-networks-2002.03665"/></url>
<url><loc>https://scifaro.com/en/abs/learning-interpretable-models-in-the-property-specification-language-2002.03668</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-interpretable-models-in-the-property-specification-language-2002.03668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-interpretable-models-in-the-property-specification-language-2002.03668"/></url>
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<url><loc>https://scifaro.com/en/abs/a-measure-theoretic-approach-to-kernel-conditional-mean-embeddings-2002.03689</loc><lastmod>2021-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-measure-theoretic-approach-to-kernel-conditional-mean-embeddings-2002.03689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-measure-theoretic-approach-to-kernel-conditional-mean-embeddings-2002.03689"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-bayesian-matrix-decomposition-for-big-data-mining-and-clustering-2002.03703</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-bayesian-matrix-decomposition-for-big-data-mining-and-clustering-2002.03703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-bayesian-matrix-decomposition-for-big-data-mining-and-clustering-2002.03703"/></url>
<url><loc>https://scifaro.com/en/abs/liberty-or-depth-deep-bayesian-neural-nets-do-not-need-complex-weight-posterior-approximations-2002.03704</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/liberty-or-depth-deep-bayesian-neural-nets-do-not-need-complex-weight-posterior-approximations-2002.03704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/liberty-or-depth-deep-bayesian-neural-nets-do-not-need-complex-weight-posterior-approximations-2002.03704"/></url>
<url><loc>https://scifaro.com/en/abs/classification-algorithm-of-speech-data-of-parkinsons-disease-based-on-convolution-sparse-kernel-transfer-learning-with-optimal-kernel-and-parallel-sample-feature-selection-2002.03716</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-algorithm-of-speech-data-of-parkinsons-disease-based-on-convolution-sparse-kernel-transfer-learning-with-optimal-kernel-and-parallel-sample-feature-selection-2002.03716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-algorithm-of-speech-data-of-parkinsons-disease-based-on-convolution-sparse-kernel-transfer-learning-with-optimal-kernel-and-parallel-sample-feature-selection-2002.03716"/></url>
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<url><loc>https://scifaro.com/en/abs/compositional-adam-an-adaptive-compositional-solver-2002.03755</loc><lastmod>2020-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-adam-an-adaptive-compositional-solver-2002.03755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-adam-an-adaptive-compositional-solver-2002.03755"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-learning-with-dependent-samples-2002.03757</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-learning-with-dependent-samples-2002.03757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-learning-with-dependent-samples-2002.03757"/></url>
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<url><loc>https://scifaro.com/en/abs/using-fractal-neural-networks-to-play-simcity-1-and-conway-s-game-of-life-at-variable-scales-2002.03896</loc><lastmod>2020-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-fractal-neural-networks-to-play-simcity-1-and-conway-s-game-of-life-at-variable-scales-2002.03896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-fractal-neural-networks-to-play-simcity-1-and-conway-s-game-of-life-at-variable-scales-2002.03896"/></url>
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<url><loc>https://scifaro.com/en/abs/assessment-modeling-fundamental-pre-training-tasks-for-interactive-educational-systems-2002.05505</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessment-modeling-fundamental-pre-training-tasks-for-interactive-educational-systems-2002.05505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessment-modeling-fundamental-pre-training-tasks-for-interactive-educational-systems-2002.05505"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-approximation-of-graph-fourier-transforms-for-sparse-sampling-of-networked-flow-dynamics-2002.05508</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-approximation-of-graph-fourier-transforms-for-sparse-sampling-of-networked-flow-dynamics-2002.05508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-approximation-of-graph-fourier-transforms-for-sparse-sampling-of-networked-flow-dynamics-2002.05508"/></url>
<url><loc>https://scifaro.com/en/abs/real-or-not-real-that-is-the-question-2002.05512</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-or-not-real-that-is-the-question-2002.05512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-or-not-real-that-is-the-question-2002.05512"/></url>
<url><loc>https://scifaro.com/en/abs/combining-machine-learning-with-knowledge-based-modeling-for-scalable-forecasting-and-subgrid-scale-closure-of-large-complex-spatiotemporal-systems-2002.05514</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-machine-learning-with-knowledge-based-modeling-for-scalable-forecasting-and-subgrid-scale-closure-of-large-complex-spatiotemporal-systems-2002.05514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-machine-learning-with-knowledge-based-modeling-for-scalable-forecasting-and-subgrid-scale-closure-of-large-complex-spatiotemporal-systems-2002.05514"/></url>
<url><loc>https://scifaro.com/en/abs/improving-deep-learning-for-airbnb-search-2002.05515</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-deep-learning-for-airbnb-search-2002.05515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-deep-learning-for-airbnb-search-2002.05515"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-of-a-mixture-of-global-and-local-models-2002.05516</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-of-a-mixture-of-global-and-local-models-2002.05516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-of-a-mixture-of-global-and-local-models-2002.05516"/></url>
<url><loc>https://scifaro.com/en/abs/learning-state-abstractions-for-transfer-in-continuous-control-2002.05518</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-state-abstractions-for-transfer-in-continuous-control-2002.05518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-state-abstractions-for-transfer-in-continuous-control-2002.05518"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-approximate-gradient-descent-via-the-langevin-algorithm-2002.05519</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-approximate-gradient-descent-via-the-langevin-algorithm-2002.05519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-approximate-gradient-descent-via-the-langevin-algorithm-2002.05519"/></url>
<url><loc>https://scifaro.com/en/abs/comprehensive-and-efficient-data-labeling-via-adaptive-model-scheduling-2002.05520</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comprehensive-and-efficient-data-labeling-via-adaptive-model-scheduling-2002.05520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comprehensive-and-efficient-data-labeling-via-adaptive-model-scheduling-2002.05520"/></url>
<url><loc>https://scifaro.com/en/abs/segmenta-c-c-ao-de-imagens-utilizando-competi-c-c-ao-e-coopera-c-c-ao-entre-part-iculas-2002.05521</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/segmenta-c-c-ao-de-imagens-utilizando-competi-c-c-ao-e-coopera-c-c-ao-entre-part-iculas-2002.05521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/segmenta-c-c-ao-de-imagens-utilizando-competi-c-c-ao-e-coopera-c-c-ao-entre-part-iculas-2002.05521"/></url>
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<url><loc>https://scifaro.com/en/abs/near-optimal-hardware-design-for-convolutional-neural-networks-2002.05526</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-hardware-design-for-convolutional-neural-networks-2002.05526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-hardware-design-for-convolutional-neural-networks-2002.05526"/></url>
<url><loc>https://scifaro.com/en/abs/abnormal-respiratory-patterns-classifier-may-contribute-to-large-scale-screening-of-people-infected-with-covid-19-in-an-accurate-and-unobtrusive-manner-2002.05534</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abnormal-respiratory-patterns-classifier-may-contribute-to-large-scale-screening-of-people-infected-with-covid-19-in-an-accurate-and-unobtrusive-manner-2002.05534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abnormal-respiratory-patterns-classifier-may-contribute-to-large-scale-screening-of-people-infected-with-covid-19-in-an-accurate-and-unobtrusive-manner-2002.05534"/></url>
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<url><loc>https://scifaro.com/en/abs/superpixel-image-classification-with-graph-attention-networks-2002.05544</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/superpixel-image-classification-with-graph-attention-networks-2002.05544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/superpixel-image-classification-with-graph-attention-networks-2002.05544"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-to-predict-error-for-mri-reconstruction-2002.05582</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-predict-error-for-mri-reconstruction-2002.05582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-predict-error-for-mri-reconstruction-2002.05582"/></url>
<url><loc>https://scifaro.com/en/abs/xcs-classifier-system-with-experience-replay-2002.05628</loc><lastmod>2020-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xcs-classifier-system-with-experience-replay-2002.05628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xcs-classifier-system-with-experience-replay-2002.05628"/></url>
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<url><loc>https://scifaro.com/en/abs/cross-iteration-batch-normalization-2002.05712</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-iteration-batch-normalization-2002.05712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-iteration-batch-normalization-2002.05712"/></url>
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<url><loc>https://scifaro.com/en/abs/multiple-metric-learning-for-structured-data-2002.05747</loc><lastmod>2020-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-metric-learning-for-structured-data-2002.05747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-metric-learning-for-structured-data-2002.05747"/></url>
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<url><loc>https://scifaro.com/en/abs/binaryduo-reducing-gradient-mismatch-in-binary-activation-network-by-coupling-binary-activations-2002.06517</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binaryduo-reducing-gradient-mismatch-in-binary-activation-network-by-coupling-binary-activations-2002.06517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binaryduo-reducing-gradient-mismatch-in-binary-activation-network-by-coupling-binary-activations-2002.06517"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-robust-representations-via-multi-view-information-bottleneck-2002.07017</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-robust-representations-via-multi-view-information-bottleneck-2002.07017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-robust-representations-via-multi-view-information-bottleneck-2002.07017"/></url>
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<url><loc>https://scifaro.com/en/abs/low-rank-bottleneck-in-multi-head-attention-models-2002.07028</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-bottleneck-in-multi-head-attention-models-2002.07028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-bottleneck-in-multi-head-attention-models-2002.07028"/></url>
<url><loc>https://scifaro.com/en/abs/regularizing-semi-supervised-graph-convolutional-networks-with-a-manifold-smoothness-loss-2002.07031</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizing-semi-supervised-graph-convolutional-networks-with-a-manifold-smoothness-loss-2002.07031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizing-semi-supervised-graph-convolutional-networks-with-a-manifold-smoothness-loss-2002.07031"/></url>
<url><loc>https://scifaro.com/en/abs/fully-convolutional-networks-for-structural-health-monitoring-through-multivariate-time-series-classification-2002.07032</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-convolutional-networks-for-structural-health-monitoring-through-multivariate-time-series-classification-2002.07032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-convolutional-networks-for-structural-health-monitoring-through-multivariate-time-series-classification-2002.07032"/></url>
<url><loc>https://scifaro.com/en/abs/towards-an-appropriate-query-key-and-value-computation-for-knowledge-tracing-2002.07033</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-an-appropriate-query-key-and-value-computation-for-knowledge-tracing-2002.07033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-an-appropriate-query-key-and-value-computation-for-knowledge-tracing-2002.07033"/></url>
<url><loc>https://scifaro.com/en/abs/back-and-forth-prediction-for-deep-tensor-compression-2002.07036</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/back-and-forth-prediction-for-deep-tensor-compression-2002.07036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/back-and-forth-prediction-for-deep-tensor-compression-2002.07036"/></url>
<url><loc>https://scifaro.com/en/abs/object-based-metamorphic-testing-through-image-structuring-2002.07046</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/object-based-metamorphic-testing-through-image-structuring-2002.07046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/object-based-metamorphic-testing-through-image-structuring-2002.07046"/></url>
<url><loc>https://scifaro.com/en/abs/bit-allocation-for-multi-task-collaborative-intelligence-2002.07048</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bit-allocation-for-multi-task-collaborative-intelligence-2002.07048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bit-allocation-for-multi-task-collaborative-intelligence-2002.07048"/></url>
<url><loc>https://scifaro.com/en/abs/retrain-or-not-retrain-efficient-pruning-methods-of-deep-cnn-networks-2002.07051</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/retrain-or-not-retrain-efficient-pruning-methods-of-deep-cnn-networks-2002.07051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/retrain-or-not-retrain-efficient-pruning-methods-of-deep-cnn-networks-2002.07051"/></url>
<url><loc>https://scifaro.com/en/abs/learning-zero-sum-simultaneous-move-markov-games-using-function-approximation-and-correlated-equilibrium-2002.07066</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-zero-sum-simultaneous-move-markov-games-using-function-approximation-and-correlated-equilibrium-2002.07066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-zero-sum-simultaneous-move-markov-games-using-function-approximation-and-correlated-equilibrium-2002.07066"/></url>
<url><loc>https://scifaro.com/en/abs/the-big-three-a-methodology-to-increase-data-science-roi-by-answering-the-questions-companies-care-about-2002.07069</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-big-three-a-methodology-to-increase-data-science-roi-by-answering-the-questions-companies-care-about-2002.07069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-big-three-a-methodology-to-increase-data-science-roi-by-answering-the-questions-companies-care-about-2002.07069"/></url>
<url><loc>https://scifaro.com/en/abs/graph-deconvolutional-generation-2002.07087</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-deconvolutional-generation-2002.07087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-deconvolutional-generation-2002.07087"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-normalizing-flows-bridging-the-gap-between-generative-flows-and-latent-variable-models-2002.07101</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-normalizing-flows-bridging-the-gap-between-generative-flows-and-latent-variable-models-2002.07101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-normalizing-flows-bridging-the-gap-between-generative-flows-and-latent-variable-models-2002.07101"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-computation-versus-quality-for-neural-sequence-models-2002.07106</loc><lastmod>2020-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-computation-versus-quality-for-neural-sequence-models-2002.07106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-computation-versus-quality-for-neural-sequence-models-2002.07106"/></url>
<url><loc>https://scifaro.com/en/abs/targeted-forgetting-and-false-memory-formation-in-continual-learners-through-adversarial-backdoor-attacks-2002.07111</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/targeted-forgetting-and-false-memory-formation-in-continual-learners-through-adversarial-backdoor-attacks-2002.07111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/targeted-forgetting-and-false-memory-formation-in-continual-learners-through-adversarial-backdoor-attacks-2002.07111"/></url>
<url><loc>https://scifaro.com/en/abs/handling-missing-annotations-in-supervised-learning-data-2002.07113</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/handling-missing-annotations-in-supervised-learning-data-2002.07113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/handling-missing-annotations-in-supervised-learning-data-2002.07113"/></url>
<url><loc>https://scifaro.com/en/abs/agnostic-q-learning-with-function-approximation-in-deterministic-systems-tight-bounds-on-approximation-error-and-sample-complexity-2002.07125</loc><lastmod>2020-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agnostic-q-learning-with-function-approximation-in-deterministic-systems-tight-bounds-on-approximation-error-and-sample-complexity-2002.07125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agnostic-q-learning-with-function-approximation-in-deterministic-systems-tight-bounds-on-approximation-error-and-sample-complexity-2002.07125"/></url>
<url><loc>https://scifaro.com/en/abs/subset-sampling-for-progressive-neural-network-learning-2002.07141</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subset-sampling-for-progressive-neural-network-learning-2002.07141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subset-sampling-for-progressive-neural-network-learning-2002.07141"/></url>
<url><loc>https://scifaro.com/en/abs/kalman-meets-bellman-improving-policy-evaluation-through-value-tracking-2002.07171</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kalman-meets-bellman-improving-policy-evaluation-through-value-tracking-2002.07171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kalman-meets-bellman-improving-policy-evaluation-through-value-tracking-2002.07171"/></url>
<url><loc>https://scifaro.com/en/abs/ripple-walk-training-a-subgraph-based-training-framework-for-large-and-deep-graph-neural-network-2002.07206</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ripple-walk-training-a-subgraph-based-training-framework-for-large-and-deep-graph-neural-network-2002.07206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ripple-walk-training-a-subgraph-based-training-framework-for-large-and-deep-graph-neural-network-2002.07206"/></url>
<url><loc>https://scifaro.com/en/abs/robust-stochastic-bandit-algorithms-under-probabilistic-unbounded-adversarial-attack-2002.07214</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-stochastic-bandit-algorithms-under-probabilistic-unbounded-adversarial-attack-2002.07214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-stochastic-bandit-algorithms-under-probabilistic-unbounded-adversarial-attack-2002.07214"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-support-vector-machine-2002.07221</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-support-vector-machine-2002.07221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-support-vector-machine-2002.07221"/></url>
<url><loc>https://scifaro.com/en/abs/evolutionary-optimization-of-deep-learning-activation-functions-2002.07224</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolutionary-optimization-of-deep-learning-activation-functions-2002.07224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolutionary-optimization-of-deep-learning-activation-functions-2002.07224"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-discrepancy-between-density-estimation-and-sequence-generation-2002.07233</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-discrepancy-between-density-estimation-and-sequence-generation-2002.07233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-discrepancy-between-density-estimation-and-sequence-generation-2002.07233"/></url>
<url><loc>https://scifaro.com/en/abs/gacem-generalized-autoregressive-cross-entropy-method-for-multi-modal-black-box-constraint-satisfaction-2002.07236</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gacem-generalized-autoregressive-cross-entropy-method-for-multi-modal-black-box-constraint-satisfaction-2002.07236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gacem-generalized-autoregressive-cross-entropy-method-for-multi-modal-black-box-constraint-satisfaction-2002.07236"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-extensions-to-random-walk-based-graph-embedding-2002.07252</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-extensions-to-random-walk-based-graph-embedding-2002.07252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-extensions-to-random-walk-based-graph-embedding-2002.07252"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-critical-neurons-in-ann-architectures-using-mixed-integer-programming-2002.07259</loc><lastmod>2023-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-critical-neurons-in-ann-architectures-using-mixed-integer-programming-2002.07259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-critical-neurons-in-ann-architectures-using-mixed-integer-programming-2002.07259"/></url>
<url><loc>https://scifaro.com/en/abs/langevin-dqn-2002.07282</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/langevin-dqn-2002.07282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/langevin-dqn-2002.07282"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-matrix-free-generation-of-adversarial-perturbations-for-black-box-attacks-2002.07317</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-matrix-free-generation-of-adversarial-perturbations-for-black-box-attacks-2002.07317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-matrix-free-generation-of-adversarial-perturbations-for-black-box-attacks-2002.07317"/></url>
<url><loc>https://scifaro.com/en/abs/federated-extra-trees-with-privacy-preserving-2002.07323</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-extra-trees-with-privacy-preserving-2002.07323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-extra-trees-with-privacy-preserving-2002.07323"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-region-based-active-learning-2002.07348</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-region-based-active-learning-2002.07348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-region-based-active-learning-2002.07348"/></url>
<url><loc>https://scifaro.com/en/abs/correlation-aware-deep-generative-model-for-unsupervised-anomaly-detection-2002.07349</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlation-aware-deep-generative-model-for-unsupervised-anomaly-detection-2002.07349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlation-aware-deep-generative-model-for-unsupervised-anomaly-detection-2002.07349"/></url>
<url><loc>https://scifaro.com/en/abs/symbolic-network-generalized-neural-policies-for-relational-mdps-2002.07375</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symbolic-network-generalized-neural-policies-for-relational-mdps-2002.07375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symbolic-network-generalized-neural-policies-for-relational-mdps-2002.07375"/></url>
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<url><loc>https://scifaro.com/en/abs/resilinet-failure-resilient-inference-in-distributed-neural-networks-2002.07386</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resilinet-failure-resilient-inference-in-distributed-neural-networks-2002.07386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resilinet-failure-resilient-inference-in-distributed-neural-networks-2002.07386"/></url>
<url><loc>https://scifaro.com/en/abs/learning-parities-with-neural-networks-2002.07400</loc><lastmod>2020-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-parities-with-neural-networks-2002.07400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-parities-with-neural-networks-2002.07400"/></url>
<url><loc>https://scifaro.com/en/abs/deflecting-adversarial-attacks-2002.07405</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deflecting-adversarial-attacks-2002.07405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deflecting-adversarial-attacks-2002.07405"/></url>
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<url><loc>https://scifaro.com/en/abs/a-modified-perturbed-sampling-method-for-local-interpretable-model-agnostic-explanation-2002.07434</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-modified-perturbed-sampling-method-for-local-interpretable-model-agnostic-explanation-2002.07434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-modified-perturbed-sampling-method-for-local-interpretable-model-agnostic-explanation-2002.07434"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-optimization-over-block-cyclic-data-2002.07454</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-optimization-over-block-cyclic-data-2002.07454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-optimization-over-block-cyclic-data-2002.07454"/></url>
<url><loc>https://scifaro.com/en/abs/maplur-exploring-a-new-paradigm-for-estimating-air-pollution-using-deep-learning-on-map-images-2002.07493</loc><lastmod>2020-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maplur-exploring-a-new-paradigm-for-estimating-air-pollution-using-deep-learning-on-map-images-2002.07493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maplur-exploring-a-new-paradigm-for-estimating-air-pollution-using-deep-learning-on-map-images-2002.07493"/></url>
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<url><loc>https://scifaro.com/en/abs/gradient-ell-1-regularization-for-quantization-robustness-2002.07520</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-ell-1-regularization-for-quantization-robustness-2002.07520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-ell-1-regularization-for-quantization-robustness-2002.07520"/></url>
<url><loc>https://scifaro.com/en/abs/a-computationally-efficient-neural-network-invariant-to-the-action-of-symmetry-subgroups-2002.07528</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-computationally-efficient-neural-network-invariant-to-the-action-of-symmetry-subgroups-2002.07528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-computationally-efficient-neural-network-invariant-to-the-action-of-symmetry-subgroups-2002.07528"/></url>
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<url><loc>https://scifaro.com/en/abs/a-possibility-in-algorithmic-fairness-can-calibration-and-equal-error-rates-be-reconciled-2002.07676</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-possibility-in-algorithmic-fairness-can-calibration-and-equal-error-rates-be-reconciled-2002.07676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-possibility-in-algorithmic-fairness-can-calibration-and-equal-error-rates-be-reconciled-2002.07676"/></url>
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<url><loc>https://scifaro.com/en/abs/robust-quantization-one-model-to-rule-them-all-2002.07686</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-quantization-one-model-to-rule-them-all-2002.07686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-quantization-one-model-to-rule-them-all-2002.07686"/></url>
<url><loc>https://scifaro.com/en/abs/neural-attentive-multiview-machines-2002.07696</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-attentive-multiview-machines-2002.07696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-attentive-multiview-machines-2002.07696"/></url>
<url><loc>https://scifaro.com/en/abs/local-propagation-in-constraint-based-neural-network-2002.07720</loc><lastmod>2020-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-propagation-in-constraint-based-neural-network-2002.07720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-propagation-in-constraint-based-neural-network-2002.07720"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-bijective-feature-maps-for-linear-ica-2002.07766</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-bijective-feature-maps-for-linear-ica-2002.07766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-bijective-feature-maps-for-linear-ica-2002.07766"/></url>
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<url><loc>https://scifaro.com/en/abs/a-flexible-outlier-detector-based-on-a-topology-given-by-graph-communities-2002.07791</loc><lastmod>2020-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-flexible-outlier-detector-based-on-a-topology-given-by-graph-communities-2002.07791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-flexible-outlier-detector-based-on-a-topology-given-by-graph-communities-2002.07791"/></url>
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<url><loc>https://scifaro.com/en/abs/global-convergence-of-deep-networks-with-one-wide-layer-followed-by-pyramidal-topology-2002.07867</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convergence-of-deep-networks-with-one-wide-layer-followed-by-pyramidal-topology-2002.07867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convergence-of-deep-networks-with-one-wide-layer-followed-by-pyramidal-topology-2002.07867"/></url>
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<url><loc>https://scifaro.com/en/abs/logarithmic-regret-for-learning-linear-quadratic-regulators-efficiently-2002.08095</loc><lastmod>2020-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logarithmic-regret-for-learning-linear-quadratic-regulators-efficiently-2002.08095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logarithmic-regret-for-learning-linear-quadratic-regulators-efficiently-2002.08095"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-neural-networks-based-on-random-graphs-2002.08104</loc><lastmod>2020-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-neural-networks-based-on-random-graphs-2002.08104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-neural-networks-based-on-random-graphs-2002.08104"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-quantized-autoencoders-2002.08111</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-quantized-autoencoders-2002.08111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-quantized-autoencoders-2002.08111"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-smoothing-of-all-shapes-and-sizes-2002.08118</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-smoothing-of-all-shapes-and-sizes-2002.08118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-smoothing-of-all-shapes-and-sizes-2002.08118"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-adjusted-neuron-activation-profiles-for-comprehensive-introspection-of-convolutional-speech-recognition-models-2002.08125</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-adjusted-neuron-activation-profiles-for-comprehensive-introspection-of-convolutional-speech-recognition-models-2002.08125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-adjusted-neuron-activation-profiles-for-comprehensive-introspection-of-convolutional-speech-recognition-models-2002.08125"/></url>
<url><loc>https://scifaro.com/en/abs/using-hindsight-to-anchor-past-knowledge-in-continual-learning-2002.08165</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-hindsight-to-anchor-past-knowledge-in-continual-learning-2002.08165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-hindsight-to-anchor-past-knowledge-in-continual-learning-2002.08165"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-in-the-sky-joint-power-allocation-and-scheduling-with-uav-swarms-2002.08196</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-in-the-sky-joint-power-allocation-and-scheduling-with-uav-swarms-2002.08196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-in-the-sky-joint-power-allocation-and-scheduling-with-uav-swarms-2002.08196"/></url>
<url><loc>https://scifaro.com/en/abs/symog-learning-symmetric-mixture-of-gaussian-modes-for-improved-fixed-point-quantization-2002.08204</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symog-learning-symmetric-mixture-of-gaussian-modes-for-improved-fixed-point-quantization-2002.08204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symog-learning-symmetric-mixture-of-gaussian-modes-for-improved-fixed-point-quantization-2002.08204"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-predictive-maintenance-for-industry-4-0-2002.08224</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-predictive-maintenance-for-industry-4-0-2002.08224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-predictive-maintenance-for-industry-4-0-2002.08224"/></url>
<url><loc>https://scifaro.com/en/abs/coles-contrastive-learning-for-event-sequences-with-self-supervision-2002.08232</loc><lastmod>2022-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coles-contrastive-learning-for-event-sequences-with-self-supervision-2002.08232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coles-contrastive-learning-for-event-sequences-with-self-supervision-2002.08232"/></url>
<url><loc>https://scifaro.com/en/abs/optimistic-policy-optimization-with-bandit-feedback-2002.08243</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimistic-policy-optimization-with-bandit-feedback-2002.08243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimistic-policy-optimization-with-bandit-feedback-2002.08243"/></url>
<url><loc>https://scifaro.com/en/abs/learning-global-transparent-models-consistent-with-local-contrastive-explanations-2002.08247</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-global-transparent-models-consistent-with-local-contrastive-explanations-2002.08247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-global-transparent-models-consistent-with-local-contrastive-explanations-2002.08247"/></url>
<url><loc>https://scifaro.com/en/abs/knapsack-pruning-with-inner-distillation-2002.08258</loc><lastmod>2020-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knapsack-pruning-with-inner-distillation-2002.08258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knapsack-pruning-with-inner-distillation-2002.08258"/></url>
<url><loc>https://scifaro.com/en/abs/molecule-attention-transformer-2002.08264</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molecule-attention-transformer-2002.08264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molecule-attention-transformer-2002.08264"/></url>
<url><loc>https://scifaro.com/en/abs/residual-correlation-in-graph-neural-network-regression-2002.08274</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-correlation-in-graph-neural-network-regression-2002.08274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-correlation-in-graph-neural-network-regression-2002.08274"/></url>
<url><loc>https://scifaro.com/en/abs/variational-encoder-based-reliable-classification-2002.08289</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-encoder-based-reliable-classification-2002.08289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-encoder-based-reliable-classification-2002.08289"/></url>
<url><loc>https://scifaro.com/en/abs/value-driven-hindsight-modelling-2002.08329</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/value-driven-hindsight-modelling-2002.08329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/value-driven-hindsight-modelling-2002.08329"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-imputation-with-denoising-autoencoder-using-metamorphic-truth-and-imputation-feedback-2002.08338</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-imputation-with-denoising-autoencoder-using-metamorphic-truth-and-imputation-feedback-2002.08338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-imputation-with-denoising-autoencoder-using-metamorphic-truth-and-imputation-feedback-2002.08338"/></url>
<url><loc>https://scifaro.com/en/abs/neurofabric-identifying-ideal-topologies-for-training-a-priori-sparse-networks-2002.08339</loc><lastmod>2020-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neurofabric-identifying-ideal-topologies-for-training-a-priori-sparse-networks-2002.08339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neurofabric-identifying-ideal-topologies-for-training-a-priori-sparse-networks-2002.08339"/></url>
<url><loc>https://scifaro.com/en/abs/schoenberg-rao-distances-entropy-based-and-geometry-aware-statistical-hilbert-distances-2002.08345</loc><lastmod>2020-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/schoenberg-rao-distances-entropy-based-and-geometry-aware-statistical-hilbert-distances-2002.08345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/schoenberg-rao-distances-entropy-based-and-geometry-aware-statistical-hilbert-distances-2002.08345"/></url>
<url><loc>https://scifaro.com/en/abs/on-adaptive-attacks-to-adversarial-example-defenses-2002.08347</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-adaptive-attacks-to-adversarial-example-defenses-2002.08347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-adaptive-attacks-to-adversarial-example-defenses-2002.08347"/></url>
<url><loc>https://scifaro.com/en/abs/keep-doing-what-worked-behavioral-modelling-priors-for-offline-reinforcement-learning-2002.08396</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/keep-doing-what-worked-behavioral-modelling-priors-for-offline-reinforcement-learning-2002.08396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/keep-doing-what-worked-behavioral-modelling-priors-for-offline-reinforcement-learning-2002.08396"/></url>
<url><loc>https://scifaro.com/en/abs/bandits-with-mean-bounds-2002.08405</loc><lastmod>2024-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandits-with-mean-bounds-2002.08405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandits-with-mean-bounds-2002.08405"/></url>
<url><loc>https://scifaro.com/en/abs/privacyfl-a-simulator-for-privacy-preserving-and-secure-federated-learning-2002.08423</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacyfl-a-simulator-for-privacy-preserving-and-secure-federated-learning-2002.08423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacyfl-a-simulator-for-privacy-preserving-and-secure-federated-learning-2002.08423"/></url>
<url><loc>https://scifaro.com/en/abs/advms-a-multi-source-multi-cost-defense-against-adversarial-attacks-2002.08439</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advms-a-multi-source-multi-cost-defense-against-adversarial-attacks-2002.08439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advms-a-multi-source-multi-cost-defense-against-adversarial-attacks-2002.08439"/></url>
<url><loc>https://scifaro.com/en/abs/strength-from-weakness-fast-learning-using-weak-supervision-2002.08483</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strength-from-weakness-fast-learning-using-weak-supervision-2002.08483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strength-from-weakness-fast-learning-using-weak-supervision-2002.08483"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-training-data-influence-by-tracing-gradient-descent-2002.08484</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-training-data-influence-by-tracing-gradient-descent-2002.08484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-training-data-influence-by-tracing-gradient-descent-2002.08484"/></url>
<url><loc>https://scifaro.com/en/abs/avoiding-kernel-fixed-points-computing-with-elu-and-gelu-infinite-networks-2002.08517</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avoiding-kernel-fixed-points-computing-with-elu-and-gelu-infinite-networks-2002.08517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avoiding-kernel-fixed-points-computing-with-elu-and-gelu-infinite-networks-2002.08517"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-constrained-bayesian-optimization-2002.08526</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-constrained-bayesian-optimization-2002.08526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-constrained-bayesian-optimization-2002.08526"/></url>
<url><loc>https://scifaro.com/en/abs/nattack-adversarial-attacks-to-bypass-a-gan-based-classifier-trained-to-detect-network-intrusion-2002.08527</loc><lastmod>2020-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nattack-adversarial-attacks-to-bypass-a-gan-based-classifier-trained-to-detect-network-intrusion-2002.08527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nattack-adversarial-attacks-to-bypass-a-gan-based-classifier-trained-to-detect-network-intrusion-2002.08527"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-sampling-distributed-stochastic-variance-reduced-gradient-for-heterogeneous-distributed-datasets-2002.08528</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-sampling-distributed-stochastic-variance-reduced-gradient-for-heterogeneous-distributed-datasets-2002.08528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-sampling-distributed-stochastic-variance-reduced-gradient-for-heterogeneous-distributed-datasets-2002.08528"/></url>
<url><loc>https://scifaro.com/en/abs/debiased-off-policy-evaluation-for-recommendation-systems-2002.08536</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/debiased-off-policy-evaluation-for-recommendation-systems-2002.08536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/debiased-off-policy-evaluation-for-recommendation-systems-2002.08536"/></url>
<url><loc>https://scifaro.com/en/abs/non-asymptotic-and-accurate-learning-of-nonlinear-dynamical-systems-2002.08538</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-asymptotic-and-accurate-learning-of-nonlinear-dynamical-systems-2002.08538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-asymptotic-and-accurate-learning-of-nonlinear-dynamical-systems-2002.08538"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-meta-reinforcement-learning-for-self-powered-and-sustainable-edge-computing-systems-2002.08567</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-meta-reinforcement-learning-for-self-powered-and-sustainable-edge-computing-systems-2002.08567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-meta-reinforcement-learning-for-self-powered-and-sustainable-edge-computing-systems-2002.08567"/></url>
<url><loc>https://scifaro.com/en/abs/byzantine-resilient-decentralized-stochastic-gradient-descent-2002.08569</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/byzantine-resilient-decentralized-stochastic-gradient-descent-2002.08569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/byzantine-resilient-decentralized-stochastic-gradient-descent-2002.08569"/></url>
<url><loc>https://scifaro.com/en/abs/input-perturbation-a-new-paradigm-between-central-and-local-differential-privacy-2002.08570</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/input-perturbation-a-new-paradigm-between-central-and-local-differential-privacy-2002.08570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/input-perturbation-a-new-paradigm-between-central-and-local-differential-privacy-2002.08570"/></url>
<url><loc>https://scifaro.com/en/abs/data-heterogeneity-differential-privacy-from-theory-to-algorithm-2002.08578</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-heterogeneity-differential-privacy-from-theory-to-algorithm-2002.08578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-heterogeneity-differential-privacy-from-theory-to-algorithm-2002.08578"/></url>
<url><loc>https://scifaro.com/en/abs/regret-minimization-in-stochastic-contextual-dueling-bandits-2002.08583</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-minimization-in-stochastic-contextual-dueling-bandits-2002.08583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-minimization-in-stochastic-contextual-dueling-bandits-2002.08583"/></url>
<url><loc>https://scifaro.com/en/abs/interpretability-of-machine-learning-based-prediction-models-in-healthcare-2002.08596</loc><lastmod>2020-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretability-of-machine-learning-based-prediction-models-in-healthcare-2002.08596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretability-of-machine-learning-based-prediction-models-in-healthcare-2002.08596"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-sets-of-symmetric-elements-2002.08599</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-sets-of-symmetric-elements-2002.08599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-sets-of-symmetric-elements-2002.08599"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-black-box-metrics-with-adaptive-surrogates-2002.08605</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-black-box-metrics-with-adaptive-surrogates-2002.08605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-black-box-metrics-with-adaptive-surrogates-2002.08605"/></url>
<url><loc>https://scifaro.com/en/abs/diversity-sampling-is-an-implicit-regularization-for-kernel-methods-2002.08616</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversity-sampling-is-an-implicit-regularization-for-kernel-methods-2002.08616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversity-sampling-is-an-implicit-regularization-for-kernel-methods-2002.08616"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-adversarial-training-with-hypersphere-embedding-2002.08619</loc><lastmod>2020-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-adversarial-training-with-hypersphere-embedding-2002.08619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-adversarial-training-with-hypersphere-embedding-2002.08619"/></url>
<url><loc>https://scifaro.com/en/abs/the-benefits-of-pairwise-discriminators-for-adversarial-training-2002.08621</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-benefits-of-pairwise-discriminators-for-adversarial-training-2002.08621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-benefits-of-pairwise-discriminators-for-adversarial-training-2002.08621"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-framework-for-selection-of-gans-for-an-application-2002.08641</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-framework-for-selection-of-gans-for-an-application-2002.08641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-framework-for-selection-of-gans-for-an-application-2002.08641"/></url>
<url><loc>https://scifaro.com/en/abs/embedding-graph-auto-encoder-for-graph-clustering-2002.08643</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedding-graph-auto-encoder-for-graph-clustering-2002.08643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedding-graph-auto-encoder-for-graph-clustering-2002.08643"/></url>
<url><loc>https://scifaro.com/en/abs/uncovering-coresets-for-classification-with-multi-objective-evolutionary-algorithms-2002.08645</loc><lastmod>2020-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncovering-coresets-for-classification-with-multi-objective-evolutionary-algorithms-2002.08645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncovering-coresets-for-classification-with-multi-objective-evolutionary-algorithms-2002.08645"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-with-differentiable-perturbed-optimizers-2002.08676</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-differentiable-perturbed-optimizers-2002.08676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-differentiable-perturbed-optimizers-2002.08676"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-multi-class-domain-adaptation-theory-algorithms-and-practice-2002.08681</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-multi-class-domain-adaptation-theory-algorithms-and-practice-2002.08681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-multi-class-domain-adaptation-theory-algorithms-and-practice-2002.08681"/></url>
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<url><loc>https://scifaro.com/en/abs/guiding-graph-embeddings-using-path-ranking-methods-for-error-detection-innoisy-knowledge-graphs-2002.08762</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guiding-graph-embeddings-using-path-ranking-methods-for-error-detection-innoisy-knowledge-graphs-2002.08762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guiding-graph-embeddings-using-path-ranking-methods-for-error-detection-innoisy-knowledge-graphs-2002.08762"/></url>
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<url><loc>https://scifaro.com/en/abs/improved-guarantees-and-a-multiple-descent-curve-for-column-subset-selection-and-the-nystr-om-method-2002.09073</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-guarantees-and-a-multiple-descent-curve-for-column-subset-selection-and-the-nystr-om-method-2002.09073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-guarantees-and-a-multiple-descent-curve-for-column-subset-selection-and-the-nystr-om-method-2002.09073"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-reinforcement-learning-with-a-directional-gaussian-smoothing-evolution-strategy-2002.09077</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-reinforcement-learning-with-a-directional-gaussian-smoothing-evolution-strategy-2002.09077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-reinforcement-learning-with-a-directional-gaussian-smoothing-evolution-strategy-2002.09077"/></url>
<url><loc>https://scifaro.com/en/abs/safe-imitation-learning-via-fast-bayesian-reward-inference-from-preferences-2002.09089</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-imitation-learning-via-fast-bayesian-reward-inference-from-preferences-2002.09089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-imitation-learning-via-fast-bayesian-reward-inference-from-preferences-2002.09089"/></url>
<url><loc>https://scifaro.com/en/abs/gans-may-have-no-nash-equilibria-2002.09124</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gans-may-have-no-nash-equilibria-2002.09124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gans-may-have-no-nash-equilibria-2002.09124"/></url>
<url><loc>https://scifaro.com/en/abs/dsnas-direct-neural-architecture-search-without-parameter-retraining-2002.09128</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dsnas-direct-neural-architecture-search-without-parameter-retraining-2002.09128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dsnas-direct-neural-architecture-search-without-parameter-retraining-2002.09128"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-tensor-train-lstm-for-spatio-temporal-learning-2002.09131</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-tensor-train-lstm-for-spatio-temporal-learning-2002.09131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-tensor-train-lstm-for-spatio-temporal-learning-2002.09131"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-controllable-object-through-video-prediction-improves-visual-reinforcement-learning-2002.09136</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-controllable-object-through-video-prediction-improves-visual-reinforcement-learning-2002.09136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-controllable-object-through-video-prediction-improves-visual-reinforcement-learning-2002.09136"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-acoustic-event-detection-via-meta-learning-2002.09143</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-acoustic-event-detection-via-meta-learning-2002.09143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-acoustic-event-detection-via-meta-learning-2002.09143"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-cross-feedback-of-user-and-item-embeddings-with-attention-for-variational-autoencoder-based-collaborative-filtering-2002.09145</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-cross-feedback-of-user-and-item-embeddings-with-attention-for-variational-autoencoder-based-collaborative-filtering-2002.09145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-cross-feedback-of-user-and-item-embeddings-with-attention-for-variational-autoencoder-based-collaborative-filtering-2002.09145"/></url>
<url><loc>https://scifaro.com/en/abs/bidirectional-generative-modeling-using-adversarial-gradient-estimation-2002.09161</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bidirectional-generative-modeling-using-adversarial-gradient-estimation-2002.09161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bidirectional-generative-modeling-using-adversarial-gradient-estimation-2002.09161"/></url>
<url><loc>https://scifaro.com/en/abs/residual-knowledge-distillation-2002.09168</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-knowledge-distillation-2002.09168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-knowledge-distillation-2002.09168"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-certification-with-randomized-smoothing-a-functional-optimization-based-framework-2002.09169</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-certification-with-randomized-smoothing-a-functional-optimization-based-framework-2002.09169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-certification-with-randomized-smoothing-a-functional-optimization-based-framework-2002.09169"/></url>
<url><loc>https://scifaro.com/en/abs/double-explore-then-commit-asymptotic-optimality-and-beyond-2002.09174</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-explore-then-commit-asymptotic-optimality-and-beyond-2002.09174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-explore-then-commit-asymptotic-optimality-and-beyond-2002.09174"/></url>
<url><loc>https://scifaro.com/en/abs/an-investigation-of-interpretability-techniques-for-deep-learning-in-predictive-process-analytics-2002.09192</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-investigation-of-interpretability-techniques-for-deep-learning-in-predictive-process-analytics-2002.09192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-investigation-of-interpretability-techniques-for-deep-learning-in-predictive-process-analytics-2002.09192"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-the-full-capacity-of-deep-neural-networks-while-avoiding-overfitting-by-targeted-sparsity-regularization-2002.09237</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-the-full-capacity-of-deep-neural-networks-while-avoiding-overfitting-by-targeted-sparsity-regularization-2002.09237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-the-full-capacity-of-deep-neural-networks-while-avoiding-overfitting-by-targeted-sparsity-regularization-2002.09237"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-of-model-weights-via-changing-features-during-training-2002.09249</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-of-model-weights-via-changing-features-during-training-2002.09249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-of-model-weights-via-changing-features-during-training-2002.09249"/></url>
<url><loc>https://scifaro.com/en/abs/new-bounds-for-distributed-mean-estimation-and-variance-reduction-2002.09268</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-bounds-for-distributed-mean-estimation-and-variance-reduction-2002.09268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-bounds-for-distributed-mean-estimation-and-variance-reduction-2002.09268"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-and-rich-regimes-in-overparametrized-models-2002.09277</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-and-rich-regimes-in-overparametrized-models-2002.09277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-and-rich-regimes-in-overparametrized-models-2002.09277"/></url>
<url><loc>https://scifaro.com/en/abs/transformer-hawkes-process-2002.09291</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformer-hawkes-process-2002.09291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformer-hawkes-process-2002.09291"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-runge-kutta-methods-and-adaptive-sgd-g2-stochastic-gradient-descent-2002.09304</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-runge-kutta-methods-and-adaptive-sgd-g2-stochastic-gradient-descent-2002.09304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-runge-kutta-methods-and-adaptive-sgd-g2-stochastic-gradient-descent-2002.09304"/></url>
<url><loc>https://scifaro.com/en/abs/robust-optimization-for-fairness-with-noisy-protected-groups-2002.09343</loc><lastmod>2020-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-optimization-for-fairness-with-noisy-protected-groups-2002.09343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-optimization-for-fairness-with-noisy-protected-groups-2002.09343"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-detection-and-correction-by-matching-prediction-distributions-2002.09364</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-detection-and-correction-by-matching-prediction-distributions-2002.09364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-detection-and-correction-by-matching-prediction-distributions-2002.09364"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-algorithm-based-robust-big-data-clustering-for-solving-unhealthy-initialization-dynamic-centroid-selection-and-empty-clustering-problems-with-analysis-2002.09380</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-algorithm-based-robust-big-data-clustering-for-solving-unhealthy-initialization-dynamic-centroid-selection-and-empty-clustering-problems-with-analysis-2002.09380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-algorithm-based-robust-big-data-clustering-for-solving-unhealthy-initialization-dynamic-centroid-selection-and-empty-clustering-problems-with-analysis-2002.09380"/></url>
<url><loc>https://scifaro.com/en/abs/it-s-not-what-machines-can-learn-it-s-what-we-cannot-teach-2002.09398</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/it-s-not-what-machines-can-learn-it-s-what-we-cannot-teach-2002.09398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/it-s-not-what-machines-can-learn-it-s-what-we-cannot-teach-2002.09398"/></url>
<url><loc>https://scifaro.com/en/abs/addressing-some-limitations-of-transformers-with-feedback-memory-2002.09402</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addressing-some-limitations-of-transformers-with-feedback-memory-2002.09402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addressing-some-limitations-of-transformers-with-feedback-memory-2002.09402"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-simulate-complex-physics-with-graph-networks-2002.09405</loc><lastmod>2020-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-simulate-complex-physics-with-graph-networks-2002.09405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-simulate-complex-physics-with-graph-networks-2002.09405"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-from-simple-classifiers-2002.09422</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-from-simple-classifiers-2002.09422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-from-simple-classifiers-2002.09422"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-learning-via-learning-the-representation-provably-2002.09434</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-learning-via-learning-the-representation-provably-2002.09434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-learning-via-learning-the-representation-provably-2002.09434"/></url>
<url><loc>https://scifaro.com/en/abs/calibrating-deep-neural-networks-using-focal-loss-2002.09437</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrating-deep-neural-networks-using-focal-loss-2002.09437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrating-deep-neural-networks-using-focal-loss-2002.09437"/></url>
<url><loc>https://scifaro.com/en/abs/an-end-to-end-approach-for-the-verification-problem-learning-the-right-distance-2002.09469</loc><lastmod>2020-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-end-to-end-approach-for-the-verification-problem-learning-the-right-distance-2002.09469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-end-to-end-approach-for-the-verification-problem-learning-the-right-distance-2002.09469"/></url>
<url><loc>https://scifaro.com/en/abs/learning-fairness-aware-relational-structures-2002.09471</loc><lastmod>2020-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-fairness-aware-relational-structures-2002.09471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-fairness-aware-relational-structures-2002.09471"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-search-for-feedback-in-reinforcement-learning-2002.09478</loc><lastmod>2022-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-search-for-feedback-in-reinforcement-learning-2002.09478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-search-for-feedback-in-reinforcement-learning-2002.09478"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-q-s-s-with-deep-deterministic-dynamics-gradients-2002.09505</loc><lastmod>2020-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-q-s-s-with-deep-deterministic-dynamics-gradients-2002.09505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-q-s-s-with-deep-deterministic-dynamics-gradients-2002.09505"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-optimal-off-policy-evaluation-with-linear-function-approximation-2002.09516</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-optimal-off-policy-evaluation-with-linear-function-approximation-2002.09516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-optimal-off-policy-evaluation-with-linear-function-approximation-2002.09516"/></url>
<url><loc>https://scifaro.com/en/abs/memory-based-graph-networks-2002.09518</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-based-graph-networks-2002.09518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-based-graph-networks-2002.09518"/></url>
<url><loc>https://scifaro.com/en/abs/struct-mmsb-mixed-membership-stochastic-blockmodels-with-interpretable-structured-priors-2002.09523</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/struct-mmsb-mixed-membership-stochastic-blockmodels-with-interpretable-structured-priors-2002.09523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/struct-mmsb-mixed-membership-stochastic-blockmodels-with-interpretable-structured-priors-2002.09523"/></url>
<url><loc>https://scifaro.com/en/abs/robustperiod-time-frequency-mining-for-robust-multiple-periodicity-detection-2002.09535</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustperiod-time-frequency-mining-for-robust-multiple-periodicity-detection-2002.09535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustperiod-time-frequency-mining-for-robust-multiple-periodicity-detection-2002.09535"/></url>
<url><loc>https://scifaro.com/en/abs/overlap-local-sgd-an-algorithmic-approach-to-hide-communication-delays-in-distributed-sgd-2002.09539</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overlap-local-sgd-an-algorithmic-approach-to-hide-communication-delays-in-distributed-sgd-2002.09539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overlap-local-sgd-an-algorithmic-approach-to-hide-communication-delays-in-distributed-sgd-2002.09539"/></url>
<url><loc>https://scifaro.com/en/abs/robusttad-robust-time-series-anomaly-detection-via-decomposition-and-convolutional-neural-networks-2002.09545</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robusttad-robust-time-series-anomaly-detection-via-decomposition-and-convolutional-neural-networks-2002.09545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robusttad-robust-time-series-anomaly-detection-via-decomposition-and-convolutional-neural-networks-2002.09545"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-and-reproducible-active-learning-using-neural-networks-2002.09564</loc><lastmod>2022-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-and-reproducible-active-learning-using-neural-networks-2002.09564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-and-reproducible-active-learning-using-neural-networks-2002.09564"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-on-machine-learning-systems-for-high-frequency-trading-2002.09565</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-on-machine-learning-systems-for-high-frequency-trading-2002.09565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-on-machine-learning-systems-for-high-frequency-trading-2002.09565"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-continually-learn-2002.09571</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-continually-learn-2002.09571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-continually-learn-2002.09571"/></url>
<url><loc>https://scifaro.com/en/abs/the-break-even-point-on-optimization-trajectories-of-deep-neural-networks-2002.09572</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-break-even-point-on-optimization-trajectories-of-deep-neural-networks-2002.09572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-break-even-point-on-optimization-trajectories-of-deep-neural-networks-2002.09572"/></url>
<url><loc>https://scifaro.com/en/abs/coded-federated-learning-2002.09574</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coded-federated-learning-2002.09574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coded-federated-learning-2002.09574"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-channel-neural-graphical-event-model-with-negative-evidence-2002.09575</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-channel-neural-graphical-event-model-with-negative-evidence-2002.09575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-channel-neural-graphical-event-model-with-negative-evidence-2002.09575"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-to-programmable-string-transformations-via-augmented-abstract-training-2002.09579</loc><lastmod>2020-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-to-programmable-string-transformations-via-augmented-abstract-training-2002.09579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-to-programmable-string-transformations-via-augmented-abstract-training-2002.09579"/></url>
<url><loc>https://scifaro.com/en/abs/the-sample-complexity-of-meta-sparse-regression-2002.09587</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-sample-complexity-of-meta-sparse-regression-2002.09587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-sample-complexity-of-meta-sparse-regression-2002.09587"/></url>
<url><loc>https://scifaro.com/en/abs/one-class-graph-neural-networks-for-anomaly-detection-in-attributed-networks-2002.09594</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-class-graph-neural-networks-for-anomaly-detection-in-attributed-networks-2002.09594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-class-graph-neural-networks-for-anomaly-detection-in-attributed-networks-2002.09594"/></url>
<url><loc>https://scifaro.com/en/abs/private-stochastic-convex-optimization-efficient-algorithms-for-non-smooth-objectives-2002.09609</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-stochastic-convex-optimization-efficient-algorithms-for-non-smooth-objectives-2002.09609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-stochastic-convex-optimization-efficient-algorithms-for-non-smooth-objectives-2002.09609"/></url>
<url><loc>https://scifaro.com/en/abs/using-single-step-adversarial-training-to-defend-iterative-adversarial-examples-2002.09632</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-single-step-adversarial-training-to-defend-iterative-adversarial-examples-2002.09632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-single-step-adversarial-training-to-defend-iterative-adversarial-examples-2002.09632"/></url>
<url><loc>https://scifaro.com/en/abs/learning-cost-functions-for-optimal-transport-2002.09650</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-cost-functions-for-optimal-transport-2002.09650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-cost-functions-for-optimal-transport-2002.09650"/></url>
<url><loc>https://scifaro.com/en/abs/nonmyopic-gaussian-process-optimization-with-macro-actions-2002.09670</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonmyopic-gaussian-process-optimization-with-macro-actions-2002.09670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonmyopic-gaussian-process-optimization-with-macro-actions-2002.09670"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-decentralized-learning-with-sparsification-and-adaptive-peer-selection-2002.09692</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-decentralized-learning-with-sparsification-and-adaptive-peer-selection-2002.09692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-decentralized-learning-with-sparsification-and-adaptive-peer-selection-2002.09692"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-crowd-flow-prediction-with-spatial-temporal-self-attention-2002.09693</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-crowd-flow-prediction-with-spatial-temporal-self-attention-2002.09693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-crowd-flow-prediction-with-spatial-temporal-self-attention-2002.09693"/></url>
<url><loc>https://scifaro.com/en/abs/fmore-an-incentive-scheme-of-multi-dimensional-auction-for-federated-learning-in-mec-2002.09699</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fmore-an-incentive-scheme-of-multi-dimensional-auction-for-federated-learning-in-mec-2002.09699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fmore-an-incentive-scheme-of-multi-dimensional-auction-for-federated-learning-in-mec-2002.09699"/></url>
<url><loc>https://scifaro.com/en/abs/safe-screening-for-the-generalized-conditional-gradient-method-2002.09718</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-screening-for-the-generalized-conditional-gradient-method-2002.09718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-screening-for-the-generalized-conditional-gradient-method-2002.09718"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-fast-approximate-eigenspaces-with-application-to-the-fast-graph-fourier-transforms-2002.09723</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-fast-approximate-eigenspaces-with-application-to-the-fast-graph-fourier-transforms-2002.09723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-fast-approximate-eigenspaces-with-application-to-the-fast-graph-fourier-transforms-2002.09723"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-for-deep-learning-model-diagnosis-technical-report-2002.09754</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-for-deep-learning-model-diagnosis-technical-report-2002.09754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-for-deep-learning-model-diagnosis-technical-report-2002.09754"/></url>
<url><loc>https://scifaro.com/en/abs/longitudinal-support-vector-machines-for-high-dimensional-time-series-2002.09763</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/longitudinal-support-vector-machines-for-high-dimensional-time-series-2002.09763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/longitudinal-support-vector-machines-for-high-dimensional-time-series-2002.09763"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-tightness-of-convex-relaxation-bounds-for-training-certifiably-robust-classifiers-2002.09766</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-tightness-of-convex-relaxation-bounds-for-training-certifiably-robust-classifiers-2002.09766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-tightness-of-convex-relaxation-bounds-for-training-certifiably-robust-classifiers-2002.09766"/></url>
<url><loc>https://scifaro.com/en/abs/non-intrusive-detection-of-adversarial-deep-learning-attacks-via-observer-networks-2002.09772</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-intrusive-detection-of-adversarial-deep-learning-attacks-via-observer-networks-2002.09772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-intrusive-detection-of-adversarial-deep-learning-attacks-via-observer-networks-2002.09772"/></url>
<url><loc>https://scifaro.com/en/abs/revealing-the-structure-of-deep-neural-networks-via-convex-duality-2002.09773</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revealing-the-structure-of-deep-neural-networks-via-convex-duality-2002.09773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revealing-the-structure-of-deep-neural-networks-via-convex-duality-2002.09773"/></url>
<url><loc>https://scifaro.com/en/abs/stochasticity-in-neural-odes-an-empirical-study-2002.09779</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochasticity-in-neural-odes-an-empirical-study-2002.09779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochasticity-in-neural-odes-an-empirical-study-2002.09779"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimization-and-generalization-analysis-for-max-pooling-networks-2002.09781</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimization-and-generalization-analysis-for-max-pooling-networks-2002.09781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimization-and-generalization-analysis-for-max-pooling-networks-2002.09781"/></url>
<url><loc>https://scifaro.com/en/abs/hardnn-feature-map-vulnerability-evaluation-in-cnns-2002.09786</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hardnn-feature-map-vulnerability-evaluation-in-cnns-2002.09786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hardnn-feature-map-vulnerability-evaluation-in-cnns-2002.09786"/></url>
<url><loc>https://scifaro.com/en/abs/poet-bin-power-efficient-tiny-binary-neurons-2002.09794</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poet-bin-power-efficient-tiny-binary-neurons-2002.09794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poet-bin-power-efficient-tiny-binary-neurons-2002.09794"/></url>
<url><loc>https://scifaro.com/en/abs/periodic-q-learning-2002.09795</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/periodic-q-learning-2002.09795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/periodic-q-learning-2002.09795"/></url>
<url><loc>https://scifaro.com/en/abs/survey-bandits-with-regret-guarantees-2002.09814</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survey-bandits-with-regret-guarantees-2002.09814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survey-bandits-with-regret-guarantees-2002.09814"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-with-linear-quadratic-regulator-regions-2002.09820</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-linear-quadratic-regulator-regions-2002.09820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-linear-quadratic-regulator-regions-2002.09820"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-role-of-dataset-quality-and-heterogeneity-in-model-confidence-2002.09831</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-role-of-dataset-quality-and-heterogeneity-in-model-confidence-2002.09831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-role-of-dataset-quality-and-heterogeneity-in-model-confidence-2002.09831"/></url>
<url><loc>https://scifaro.com/en/abs/an-accuracy-lossless-perturbation-method-for-defending-privacy-attacks-in-federated-learning-2002.09843</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-accuracy-lossless-perturbation-method-for-defending-privacy-attacks-in-federated-learning-2002.09843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-accuracy-lossless-perturbation-method-for-defending-privacy-attacks-in-federated-learning-2002.09843"/></url>
<url><loc>https://scifaro.com/en/abs/tree-truncated-tree-based-graph-kernels-2002.09846</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-truncated-tree-based-graph-kernels-2002.09846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-truncated-tree-based-graph-kernels-2002.09846"/></url>
<url><loc>https://scifaro.com/en/abs/variance-loss-in-variational-autoencoders-2002.09860</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-loss-in-variational-autoencoders-2002.09860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-loss-in-variational-autoencoders-2002.09860"/></url>
<url><loc>https://scifaro.com/en/abs/stealing-black-box-functionality-using-the-deep-neural-tree-architecture-2002.09864</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stealing-black-box-functionality-using-the-deep-neural-tree-architecture-2002.09864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stealing-black-box-functionality-using-the-deep-neural-tree-architecture-2002.09864"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-generalization-of-bayesian-deep-nets-for-multi-class-classification-2002.09866</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-generalization-of-bayesian-deep-nets-for-multi-class-classification-2002.09866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-generalization-of-bayesian-deep-nets-for-multi-class-classification-2002.09866"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-regret-bounds-for-stochastic-shortest-path-2002.09869</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-regret-bounds-for-stochastic-shortest-path-2002.09869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-regret-bounds-for-stochastic-shortest-path-2002.09869"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-particle-filter-reinforcement-learning-for-complex-partial-observations-2002.09884</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-particle-filter-reinforcement-learning-for-complex-partial-observations-2002.09884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-particle-filter-reinforcement-learning-for-complex-partial-observations-2002.09884"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-graph-based-deep-semi-supervised-learning-2002.09891</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-graph-based-deep-semi-supervised-learning-2002.09891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-graph-based-deep-semi-supervised-learning-2002.09891"/></url>
<url><loc>https://scifaro.com/en/abs/improve-sgd-training-via-aligning-mini-batches-2002.09917</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improve-sgd-training-via-aligning-mini-batches-2002.09917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improve-sgd-training-via-aligning-mini-batches-2002.09917"/></url>
<url><loc>https://scifaro.com/en/abs/weighting-is-worth-the-wait-bayesian-optimization-with-importance-sampling-2002.09927</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighting-is-worth-the-wait-bayesian-optimization-with-importance-sampling-2002.09927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighting-is-worth-the-wait-bayesian-optimization-with-importance-sampling-2002.09927"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-sampling-with-forecasting-autoregressive-models-2002.09928</loc><lastmod>2020-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-sampling-with-forecasting-autoregressive-models-2002.09928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-sampling-with-forecasting-autoregressive-models-2002.09928"/></url>
<url><loc>https://scifaro.com/en/abs/network-clustering-via-kernel-arma-modeling-and-the-grassmannian-the-brain-network-case-2002.09943</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-clustering-via-kernel-arma-modeling-and-the-grassmannian-the-brain-network-case-2002.09943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-clustering-via-kernel-arma-modeling-and-the-grassmannian-the-brain-network-case-2002.09943"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-estimation-of-complex-circuits-functional-failure-rate-by-machine-learning-techniques-2002.09945</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-estimation-of-complex-circuits-functional-failure-rate-by-machine-learning-techniques-2002.09945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-estimation-of-complex-circuits-functional-failure-rate-by-machine-learning-techniques-2002.09945"/></url>
<url><loc>https://scifaro.com/en/abs/de-randomized-pac-bayes-margin-bounds-applications-to-non-convex-and-non-smooth-predictors-2002.09956</loc><lastmod>2020-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/de-randomized-pac-bayes-margin-bounds-applications-to-non-convex-and-non-smooth-predictors-2002.09956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/de-randomized-pac-bayes-margin-bounds-applications-to-non-convex-and-non-smooth-predictors-2002.09956"/></url>
<url><loc>https://scifaro.com/en/abs/gradual-channel-pruning-while-training-using-feature-relevance-scores-for-convolutional-neural-networks-2002.09958</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradual-channel-pruning-while-training-using-feature-relevance-scores-for-convolutional-neural-networks-2002.09958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradual-channel-pruning-while-training-using-feature-relevance-scores-for-convolutional-neural-networks-2002.09958"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-class-boundary-label-uncertainty-to-reduce-both-model-bias-and-variance-2002.09963</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-class-boundary-label-uncertainty-to-reduce-both-model-bias-and-variance-2002.09963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-class-boundary-label-uncertainty-to-reduce-both-model-bias-and-variance-2002.09963"/></url>
<url><loc>https://scifaro.com/en/abs/rapidly-personalizing-mobile-health-treatment-policies-with-limited-data-2002.09971</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapidly-personalizing-mobile-health-treatment-policies-with-limited-data-2002.09971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapidly-personalizing-mobile-health-treatment-policies-with-limited-data-2002.09971"/></url>
<url><loc>https://scifaro.com/en/abs/on-thompson-sampling-with-langevin-algorithms-2002.10002</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-thompson-sampling-with-langevin-algorithms-2002.10002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-thompson-sampling-with-langevin-algorithms-2002.10002"/></url>
<url><loc>https://scifaro.com/en/abs/neurips-2019-disentanglement-challenge-improved-disentanglement-through-aggregated-convolutional-feature-maps-2002.10003</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neurips-2019-disentanglement-challenge-improved-disentanglement-through-aggregated-convolutional-feature-maps-2002.10003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neurips-2019-disentanglement-challenge-improved-disentanglement-through-aggregated-convolutional-feature-maps-2002.10003"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-modularity-of-hypernetworks-2002.10006</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-modularity-of-hypernetworks-2002.10006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-modularity-of-hypernetworks-2002.10006"/></url>
<url><loc>https://scifaro.com/en/abs/a-critical-view-of-the-structural-causal-model-2002.10007</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-critical-view-of-the-structural-causal-model-2002.10007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-critical-view-of-the-structural-causal-model-2002.10007"/></url>
<url><loc>https://scifaro.com/en/abs/how-transferable-are-the-representations-learned-by-deep-q-agents-2002.10021</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-transferable-are-the-representations-learned-by-deep-q-agents-2002.10021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-transferable-are-the-representations-learned-by-deep-q-agents-2002.10021"/></url>
<url><loc>https://scifaro.com/en/abs/complete-dictionary-learning-via-ell-p-norm-maximization-2002.10043</loc><lastmod>2020-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complete-dictionary-learning-via-ell-p-norm-maximization-2002.10043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complete-dictionary-learning-via-ell-p-norm-maximization-2002.10043"/></url>
<url><loc>https://scifaro.com/en/abs/omni-scale-cnns-a-simple-and-effective-kernel-size-configuration-for-time-series-classification-2002.10061</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/omni-scale-cnns-a-simple-and-effective-kernel-size-configuration-for-time-series-classification-2002.10061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/omni-scale-cnns-a-simple-and-effective-kernel-size-configuration-for-time-series-classification-2002.10061"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-connection-between-binary-and-spiking-neural-networks-2002.10064</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-connection-between-binary-and-spiking-neural-networks-2002.10064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-connection-between-binary-and-spiking-neural-networks-2002.10064"/></url>
<url><loc>https://scifaro.com/en/abs/causal-strategic-linear-regression-2002.10066</loc><lastmod>2022-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-strategic-linear-regression-2002.10066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-strategic-linear-regression-2002.10066"/></url>
<url><loc>https://scifaro.com/en/abs/robust-learning-based-control-via-bootstrapped-multiplicative-noise-2002.10069</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-learning-based-control-via-bootstrapped-multiplicative-noise-2002.10069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-learning-based-control-via-bootstrapped-multiplicative-noise-2002.10069"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-data-deletion-from-machine-learning-models-2002.10077</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-data-deletion-from-machine-learning-models-2002.10077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-data-deletion-from-machine-learning-models-2002.10077"/></url>
<url><loc>https://scifaro.com/en/abs/on-hiding-neural-networks-inside-neural-networks-2002.10078</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-hiding-neural-networks-inside-neural-networks-2002.10078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-hiding-neural-networks-inside-neural-networks-2002.10078"/></url>
<url><loc>https://scifaro.com/en/abs/towards-rapid-and-robust-adversarial-training-with-one-step-attacks-2002.10097</loc><lastmod>2020-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-rapid-and-robust-adversarial-training-with-one-step-attacks-2002.10097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-rapid-and-robust-adversarial-training-with-one-step-attacks-2002.10097"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-geometric-regularization-for-learning-shapes-2002.10099</loc><lastmod>2020-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-geometric-regularization-for-learning-shapes-2002.10099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-geometric-regularization-for-learning-shapes-2002.10099"/></url>
<url><loc>https://scifaro.com/en/abs/alternating-the-population-and-control-neural-networks-to-solve-high-dimensional-stochastic-mean-field-games-2002.10113</loc><lastmod>2023-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternating-the-population-and-control-neural-networks-to-solve-high-dimensional-stochastic-mean-field-games-2002.10113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternating-the-population-and-control-neural-networks-to-solve-high-dimensional-stochastic-mean-field-games-2002.10113"/></url>
<url><loc>https://scifaro.com/en/abs/the-unreasonable-effectiveness-of-greedy-algorithms-in-multi-armed-bandit-with-many-arms-2002.10121</loc><lastmod>2024-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-unreasonable-effectiveness-of-greedy-algorithms-in-multi-armed-bandit-with-many-arms-2002.10121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-unreasonable-effectiveness-of-greedy-algorithms-in-multi-armed-bandit-with-many-arms-2002.10121"/></url>
<url><loc>https://scifaro.com/en/abs/fondue-a-framework-for-node-disambiguation-using-network-embeddings-2002.10127</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fondue-a-framework-for-node-disambiguation-using-network-embeddings-2002.10127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fondue-a-framework-for-node-disambiguation-using-network-embeddings-2002.10127"/></url>
<url><loc>https://scifaro.com/en/abs/embedded-physics-machine-learning-for-coarse-graining-and-collective-variable-discovery-without-data-2002.10148</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedded-physics-machine-learning-for-coarse-graining-and-collective-variable-discovery-without-data-2002.10148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedded-physics-machine-learning-for-coarse-graining-and-collective-variable-discovery-without-data-2002.10148"/></url>
<url><loc>https://scifaro.com/en/abs/better-classifier-calibration-for-small-data-sets-2002.10199</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-classifier-calibration-for-small-data-sets-2002.10199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-classifier-calibration-for-small-data-sets-2002.10199"/></url>
<url><loc>https://scifaro.com/en/abs/injective-domain-knowledge-in-neural-networks-for-transprecision-computing-2002.10214</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/injective-domain-knowledge-in-neural-networks-for-transprecision-computing-2002.10214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/injective-domain-knowledge-in-neural-networks-for-transprecision-computing-2002.10214"/></url>
<url><loc>https://scifaro.com/en/abs/the-archimedean-trap-why-traditional-reinforcement-learning-will-probably-not-yield-agi-2002.10221</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-archimedean-trap-why-traditional-reinforcement-learning-will-probably-not-yield-agi-2002.10221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-archimedean-trap-why-traditional-reinforcement-learning-will-probably-not-yield-agi-2002.10221"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-systems-simulation-and-control-using-consecutive-recurrent-neural-networks-2002.10228</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-systems-simulation-and-control-using-consecutive-recurrent-neural-networks-2002.10228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-systems-simulation-and-control-using-consecutive-recurrent-neural-networks-2002.10228"/></url>
<url><loc>https://scifaro.com/en/abs/fr-train-a-mutual-information-based-approach-to-fair-and-robust-training-2002.10234</loc><lastmod>2020-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fr-train-a-mutual-information-based-approach-to-fair-and-robust-training-2002.10234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fr-train-a-mutual-information-based-approach-to-fair-and-robust-training-2002.10234"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-dirichlet-belief-networks-for-interpretable-dynamic-relational-data-modelling-2002.10235</loc><lastmod>2020-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-dirichlet-belief-networks-for-interpretable-dynamic-relational-data-modelling-2002.10235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-dirichlet-belief-networks-for-interpretable-dynamic-relational-data-modelling-2002.10235"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-trex-a-bayesian-sampling-approach-to-model-transparency-by-example-2002.10248</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-trex-a-bayesian-sampling-approach-to-model-transparency-by-example-2002.10248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-trex-a-bayesian-sampling-approach-to-model-transparency-by-example-2002.10248"/></url>
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<url><loc>https://scifaro.com/en/abs/empirical-study-on-airline-delay-analysis-and-prediction-2002.10254</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-study-on-airline-delay-analysis-and-prediction-2002.10254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-study-on-airline-delay-analysis-and-prediction-2002.10254"/></url>
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<url><loc>https://scifaro.com/en/abs/prediction-with-corrupted-expert-advice-2002.10286</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-with-corrupted-expert-advice-2002.10286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-with-corrupted-expert-advice-2002.10286"/></url>
<url><loc>https://scifaro.com/en/abs/suprb-a-supervised-rule-based-learning-system-for-continuous-problems-2002.10295</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/suprb-a-supervised-rule-based-learning-system-for-continuous-problems-2002.10295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/suprb-a-supervised-rule-based-learning-system-for-continuous-problems-2002.10295"/></url>
<url><loc>https://scifaro.com/en/abs/q-learning-with-uniformly-bounded-variance-large-discounting-is-not-a-barrier-to-fast-learning-2002.10301</loc><lastmod>2020-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/q-learning-with-uniformly-bounded-variance-large-discounting-is-not-a-barrier-to-fast-learning-2002.10301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/q-learning-with-uniformly-bounded-variance-large-discounting-is-not-a-barrier-to-fast-learning-2002.10301"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-propagation-graph-convolutional-network-2002.10306</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-propagation-graph-convolutional-network-2002.10306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-propagation-graph-convolutional-network-2002.10306"/></url>
<url><loc>https://scifaro.com/en/abs/learning-certified-individually-fair-representations-2002.10312</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-certified-individually-fair-representations-2002.10312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-certified-individually-fair-representations-2002.10312"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-learning-with-delayed-impact-of-actions-2002.10316</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-learning-with-delayed-impact-of-actions-2002.10316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-learning-with-delayed-impact-of-actions-2002.10316"/></url>
<url><loc>https://scifaro.com/en/abs/self-adaptive-training-beyond-empirical-risk-minimization-2002.10319</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-adaptive-training-beyond-empirical-risk-minimization-2002.10319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-adaptive-training-beyond-empirical-risk-minimization-2002.10319"/></url>
<url><loc>https://scifaro.com/en/abs/fsinr-an-exhaustive-package-for-feature-selection-2002.10330</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fsinr-an-exhaustive-package-for-feature-selection-2002.10330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fsinr-an-exhaustive-package-for-feature-selection-2002.10330"/></url>
<url><loc>https://scifaro.com/en/abs/a-model-based-derivative-free-approach-to-black-box-adversarial-examples-bobyqa-2002.10349</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-model-based-derivative-free-approach-to-black-box-adversarial-examples-bobyqa-2002.10349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-model-based-derivative-free-approach-to-black-box-adversarial-examples-bobyqa-2002.10349"/></url>
<url><loc>https://scifaro.com/en/abs/the-early-phase-of-neural-network-training-2002.10365</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-early-phase-of-neural-network-training-2002.10365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-early-phase-of-neural-network-training-2002.10365"/></url>
<url><loc>https://scifaro.com/en/abs/the-two-regimes-of-deep-network-training-2002.10376</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-two-regimes-of-deep-network-training-2002.10376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-two-regimes-of-deep-network-training-2002.10376"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-similarity-matching-for-supervised-learning-2002.10378</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-similarity-matching-for-supervised-learning-2002.10378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-similarity-matching-for-supervised-learning-2002.10378"/></url>
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<url><loc>https://scifaro.com/en/abs/semi-supervised-neural-architecture-search-2002.10389</loc><lastmod>2020-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-neural-architecture-search-2002.10389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-neural-architecture-search-2002.10389"/></url>
<url><loc>https://scifaro.com/en/abs/deepplume-very-high-resolution-real-time-air-quality-mapping-2002.10394</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepplume-very-high-resolution-real-time-air-quality-mapping-2002.10394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepplume-very-high-resolution-real-time-air-quality-mapping-2002.10394"/></url>
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<url><loc>https://scifaro.com/en/abs/lagrangian-decomposition-for-neural-network-verification-2002.10410</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lagrangian-decomposition-for-neural-network-verification-2002.10410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lagrangian-decomposition-for-neural-network-verification-2002.10410"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-and-classification-with-non-existence-attributes-a-sentenced-discrepancy-measure-based-technique-2002.10411</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-and-classification-with-non-existence-attributes-a-sentenced-discrepancy-measure-based-technique-2002.10411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-and-classification-with-non-existence-attributes-a-sentenced-discrepancy-measure-based-technique-2002.10411"/></url>
<url><loc>https://scifaro.com/en/abs/neural-message-passing-on-high-order-paths-2002.10413</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-message-passing-on-high-order-paths-2002.10413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-message-passing-on-high-order-paths-2002.10413"/></url>
<url><loc>https://scifaro.com/en/abs/learning-structured-distributions-from-untrusted-batches-faster-and-simpler-2002.10435</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-structured-distributions-from-untrusted-batches-faster-and-simpler-2002.10435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-structured-distributions-from-untrusted-batches-faster-and-simpler-2002.10435"/></url>
<url><loc>https://scifaro.com/en/abs/xai-gan-enhancing-generative-adversarial-networks-via-explainable-ai-systems-2002.10438</loc><lastmod>2022-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xai-gan-enhancing-generative-adversarial-networks-via-explainable-ai-systems-2002.10438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xai-gan-enhancing-generative-adversarial-networks-via-explainable-ai-systems-2002.10438"/></url>
<url><loc>https://scifaro.com/en/abs/batch-normalization-biases-residual-blocks-towards-the-identity-function-in-deep-networks-2002.10444</loc><lastmod>2020-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-normalization-biases-residual-blocks-towards-the-identity-function-in-deep-networks-2002.10444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-normalization-biases-residual-blocks-towards-the-identity-function-in-deep-networks-2002.10444"/></url>
<url><loc>https://scifaro.com/en/abs/deep-nearest-neighbor-anomaly-detection-2002.10445</loc><lastmod>2020-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-nearest-neighbor-anomaly-detection-2002.10445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-nearest-neighbor-anomaly-detection-2002.10445"/></url>
<url><loc>https://scifaro.com/en/abs/precise-tradeoffs-in-adversarial-training-for-linear-regression-2002.10477</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/precise-tradeoffs-in-adversarial-training-for-linear-regression-2002.10477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/precise-tradeoffs-in-adversarial-training-for-linear-regression-2002.10477"/></url>
<url><loc>https://scifaro.com/en/abs/reparameterizing-mirror-descent-as-gradient-descent-2002.10487</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reparameterizing-mirror-descent-as-gradient-descent-2002.10487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reparameterizing-mirror-descent-as-gradient-descent-2002.10487"/></url>
<url><loc>https://scifaro.com/en/abs/variational-hyper-rnn-for-sequence-modeling-2002.10501</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-hyper-rnn-for-sequence-modeling-2002.10501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-hyper-rnn-for-sequence-modeling-2002.10501"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-continuous-stochastic-processes-with-dynamic-normalizing-flows-2002.10516</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-continuous-stochastic-processes-with-dynamic-normalizing-flows-2002.10516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-continuous-stochastic-processes-with-dynamic-normalizing-flows-2002.10516"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-rollout-strategies-for-bayesian-optimization-2002.10539</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-rollout-strategies-for-bayesian-optimization-2002.10539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-rollout-strategies-for-bayesian-optimization-2002.10539"/></url>
<url><loc>https://scifaro.com/en/abs/variational-wasserstein-barycenters-for-geometric-clustering-2002.10543</loc><lastmod>2023-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-wasserstein-barycenters-for-geometric-clustering-2002.10543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-wasserstein-barycenters-for-geometric-clustering-2002.10543"/></url>
<url><loc>https://scifaro.com/en/abs/provable-representation-learning-for-imitation-learning-via-bi-level-optimization-2002.10544</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-representation-learning-for-imitation-learning-via-bi-level-optimization-2002.10544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-representation-learning-for-imitation-learning-via-bi-level-optimization-2002.10544"/></url>
<url><loc>https://scifaro.com/en/abs/progressive-learning-and-disentanglement-of-hierarchical-representations-2002.10549</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progressive-learning-and-disentanglement-of-hierarchical-representations-2002.10549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progressive-learning-and-disentanglement-of-hierarchical-representations-2002.10549"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-are-convex-regularizers-exact-polynomial-time-convex-optimization-formulations-for-two-layer-networks-2002.10553</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-are-convex-regularizers-exact-polynomial-time-convex-optimization-formulations-for-two-layer-networks-2002.10553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-are-convex-regularizers-exact-polynomial-time-convex-optimization-formulations-for-two-layer-networks-2002.10553"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-mapping-mathbf-x-mapsto-sum-i-1-d-x-i-2-the-cost-of-finding-the-needle-in-a-haystack-2002.10561</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-mapping-mathbf-x-mapsto-sum-i-1-d-x-i-2-the-cost-of-finding-the-needle-in-a-haystack-2002.10561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-mapping-mathbf-x-mapsto-sum-i-1-d-x-i-2-the-cost-of-finding-the-needle-in-a-haystack-2002.10561"/></url>
<url><loc>https://scifaro.com/en/abs/scheduled-restart-momentum-for-accelerated-stochastic-gradient-descent-2002.10583</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scheduled-restart-momentum-for-accelerated-stochastic-gradient-descent-2002.10583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scheduled-restart-momentum-for-accelerated-stochastic-gradient-descent-2002.10583"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-for-resource-constrained-iot-devices-panoramas-and-state-of-the-art-2002.10610</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-for-resource-constrained-iot-devices-panoramas-and-state-of-the-art-2002.10610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-for-resource-constrained-iot-devices-panoramas-and-state-of-the-art-2002.10610"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-fitting-meets-regression-the-effects-of-supervision-and-orthonormality-constraints-on-double-descent-of-generalization-errors-2002.10614</loc><lastmod>2020-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-fitting-meets-regression-the-effects-of-supervision-and-orthonormality-constraints-on-double-descent-of-generalization-errors-2002.10614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-fitting-meets-regression-the-effects-of-supervision-and-orthonormality-constraints-on-double-descent-of-generalization-errors-2002.10614"/></url>
<url><loc>https://scifaro.com/en/abs/three-approaches-for-personalization-with-applications-to-federated-learning-2002.10619</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/three-approaches-for-personalization-with-applications-to-federated-learning-2002.10619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/three-approaches-for-personalization-with-applications-to-federated-learning-2002.10619"/></url>
<url><loc>https://scifaro.com/en/abs/on-reinforcement-learning-for-turn-based-zero-sum-markov-games-2002.10620</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-reinforcement-learning-for-turn-based-zero-sum-markov-games-2002.10620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-reinforcement-learning-for-turn-based-zero-sum-markov-games-2002.10620"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-reinforcement-learning-for-physical-systems-without-velocity-and-acceleration-measurements-2002.10621</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-for-physical-systems-without-velocity-and-acceleration-measurements-2002.10621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-for-physical-systems-without-velocity-and-acceleration-measurements-2002.10621"/></url>
<url><loc>https://scifaro.com/en/abs/batch-norm-with-entropic-regularization-turns-deterministic-autoencoders-into-generative-models-2002.10631</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-norm-with-entropic-regularization-turns-deterministic-autoencoders-into-generative-models-2002.10631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-norm-with-entropic-regularization-turns-deterministic-autoencoders-into-generative-models-2002.10631"/></url>
<url><loc>https://scifaro.com/en/abs/i-am-going-mad-maximum-discrepancy-competition-for-comparing-classifiers-adaptively-2002.10648</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/i-am-going-mad-maximum-discrepancy-competition-for-comparing-classifiers-adaptively-2002.10648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/i-am-going-mad-maximum-discrepancy-competition-for-comparing-classifiers-adaptively-2002.10648"/></url>
<url><loc>https://scifaro.com/en/abs/coherent-gradients-an-approach-to-understanding-generalization-in-gradient-descent-based-optimization-2002.10657</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coherent-gradients-an-approach-to-understanding-generalization-in-gradient-descent-based-optimization-2002.10657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coherent-gradients-an-approach-to-understanding-generalization-in-gradient-descent-based-optimization-2002.10657"/></url>
<url><loc>https://scifaro.com/en/abs/novel-change-of-measure-inequalities-with-applications-to-pac-bayesian-bounds-and-monte-carlo-estimation-2002.10678</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novel-change-of-measure-inequalities-with-applications-to-pac-bayesian-bounds-and-monte-carlo-estimation-2002.10678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novel-change-of-measure-inequalities-with-applications-to-pac-bayesian-bounds-and-monte-carlo-estimation-2002.10678"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-of-usable-information-under-computational-constraints-2002.10689</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-of-usable-information-under-computational-constraints-2002.10689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-of-usable-information-under-computational-constraints-2002.10689"/></url>
<url><loc>https://scifaro.com/en/abs/g-odel-s-sentence-is-an-adversarial-example-but-unsolvable-2002.10703</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/g-odel-s-sentence-is-an-adversarial-example-but-unsolvable-2002.10703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/g-odel-s-sentence-is-an-adversarial-example-but-unsolvable-2002.10703"/></url>
<url><loc>https://scifaro.com/en/abs/searching-for-winograd-aware-quantized-networks-2002.10711</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/searching-for-winograd-aware-quantized-networks-2002.10711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/searching-for-winograd-aware-quantized-networks-2002.10711"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-mitigating-the-tradeoff-between-robustness-and-accuracy-2002.10716</loc><lastmod>2020-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-mitigating-the-tradeoff-between-robustness-and-accuracy-2002.10716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-mitigating-the-tradeoff-between-robustness-and-accuracy-2002.10716"/></url>
<url><loc>https://scifaro.com/en/abs/de-randomized-smoothing-for-certifiable-defense-against-patch-attacks-2002.10733</loc><lastmod>2021-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/de-randomized-smoothing-for-certifiable-defense-against-patch-attacks-2002.10733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/de-randomized-smoothing-for-certifiable-defense-against-patch-attacks-2002.10733"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-deep-reinforcement-learning-with-analogous-disentangled-exploration-2002.10738</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-deep-reinforcement-learning-with-analogous-disentangled-exploration-2002.10738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-deep-reinforcement-learning-with-analogous-disentangled-exploration-2002.10738"/></url>
<url><loc>https://scifaro.com/en/abs/teaching-the-old-dog-new-tricks-supervised-learning-with-constraints-2002.10766</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/teaching-the-old-dog-new-tricks-supervised-learning-with-constraints-2002.10766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/teaching-the-old-dog-new-tricks-supervised-learning-with-constraints-2002.10766"/></url>
<url><loc>https://scifaro.com/en/abs/sequence-to-sequence-imputation-of-missing-sensor-data-2002.10767</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequence-to-sequence-imputation-of-missing-sensor-data-2002.10767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequence-to-sequence-imputation-of-missing-sensor-data-2002.10767"/></url>
<url><loc>https://scifaro.com/en/abs/training-binary-neural-networks-using-the-bayesian-learning-rule-2002.10778</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-binary-neural-networks-using-the-bayesian-learning-rule-2002.10778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-binary-neural-networks-using-the-bayesian-learning-rule-2002.10778"/></url>
<url><loc>https://scifaro.com/en/abs/robust-adaptive-control-of-linear-systems-beyond-quadratic-costs-2002.10816</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-adaptive-control-of-linear-systems-beyond-quadratic-costs-2002.10816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-adaptive-control-of-linear-systems-beyond-quadratic-costs-2002.10816"/></url>
<url><loc>https://scifaro.com/en/abs/reward-shaping-for-human-learning-via-inverse-reinforcement-learning-2002.10904</loc><lastmod>2022-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reward-shaping-for-human-learning-via-inverse-reinforcement-learning-2002.10904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reward-shaping-for-human-learning-via-inverse-reinforcement-learning-2002.10904"/></url>
<url><loc>https://scifaro.com/en/abs/general-framework-for-binary-classification-on-top-samples-2002.10923</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-framework-for-binary-classification-on-top-samples-2002.10923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-framework-for-binary-classification-on-top-samples-2002.10923"/></url>
<url><loc>https://scifaro.com/en/abs/diversity-based-generalization-for-unsupervised-text-classification-under-domain-shift-2002.10937</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversity-based-generalization-for-unsupervised-text-classification-under-domain-shift-2002.10937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversity-based-generalization-for-unsupervised-text-classification-under-domain-shift-2002.10937"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-sign-sgd-for-federated-learning-with-theoretical-guarantees-2002.10940</loc><lastmod>2024-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-sign-sgd-for-federated-learning-with-theoretical-guarantees-2002.10940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-sign-sgd-for-federated-learning-with-theoretical-guarantees-2002.10940"/></url>
<url><loc>https://scifaro.com/en/abs/towards-an-efficient-and-general-framework-of-robust-training-for-graph-neural-networks-2002.10947</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-an-efficient-and-general-framework-of-robust-training-for-graph-neural-networks-2002.10947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-an-efficient-and-general-framework-of-robust-training-for-graph-neural-networks-2002.10947"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-distributed-stochastic-gradient-descent-for-minimizing-delay-in-the-presence-of-stragglers-2002.11005</loc><lastmod>2023-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-distributed-stochastic-gradient-descent-for-minimizing-delay-in-the-presence-of-stragglers-2002.11005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-distributed-stochastic-gradient-descent-for-minimizing-delay-in-the-presence-of-stragglers-2002.11005"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-batch-normalization-for-better-explainability-of-deep-neural-networks-through-layer-wise-relevance-propagation-2002.11018</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-batch-normalization-for-better-explainability-of-deep-neural-networks-through-layer-wise-relevance-propagation-2002.11018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-batch-normalization-for-better-explainability-of-deep-neural-networks-through-layer-wise-relevance-propagation-2002.11018"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-dropout-feature-map-distortion-to-regularize-deep-neural-networks-2002.11022</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-dropout-feature-map-distortion-to-regularize-deep-neural-networks-2002.11022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-dropout-feature-map-distortion-to-regularize-deep-neural-networks-2002.11022"/></url>
<url><loc>https://scifaro.com/en/abs/relevant-features-based-auxiliary-cells-for-energy-efficient-detection-of-natural-errors-2002.11052</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relevant-features-based-auxiliary-cells-for-energy-efficient-detection-of-natural-errors-2002.11052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relevant-features-based-auxiliary-cells-for-energy-efficient-detection-of-natural-errors-2002.11052"/></url>
<url><loc>https://scifaro.com/en/abs/the-curious-case-of-adversarially-robust-models-more-data-can-help-double-descend-or-hurt-generalization-2002.11080</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-curious-case-of-adversarially-robust-models-more-data-can-help-double-descend-or-hurt-generalization-2002.11080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-curious-case-of-adversarially-robust-models-more-data-can-help-double-descend-or-hurt-generalization-2002.11080"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-gradient-quantization-condition-for-communication-efficient-distributed-training-2002.11082</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-gradient-quantization-condition-for-communication-efficient-distributed-training-2002.11082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-gradient-quantization-condition-for-communication-efficient-distributed-training-2002.11082"/></url>
<url><loc>https://scifaro.com/en/abs/rewriting-history-with-inverse-rl-hindsight-inference-for-policy-improvement-2002.11089</loc><lastmod>2020-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rewriting-history-with-inverse-rl-hindsight-inference-for-policy-improvement-2002.11089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rewriting-history-with-inverse-rl-hindsight-inference-for-policy-improvement-2002.11089"/></url>
<url><loc>https://scifaro.com/en/abs/on-feature-normalization-and-data-augmentation-2002.11102</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-feature-normalization-and-data-augmentation-2002.11102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-feature-normalization-and-data-augmentation-2002.11102"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-incentive-aware-learning-robust-pricing-in-contextual-auctions-2002.11137</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-incentive-aware-learning-robust-pricing-in-contextual-auctions-2002.11137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-incentive-aware-learning-robust-pricing-in-contextual-auctions-2002.11137"/></url>
<url><loc>https://scifaro.com/en/abs/txsim-modeling-training-of-deep-neural-networks-on-resistive-crossbar-systems-2002.11151</loc><lastmod>2021-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/txsim-modeling-training-of-deep-neural-networks-on-resistive-crossbar-systems-2002.11151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/txsim-modeling-training-of-deep-neural-networks-on-resistive-crossbar-systems-2002.11151"/></url>
<url><loc>https://scifaro.com/en/abs/a-sample-complexity-separation-between-non-convex-and-convex-meta-learning-2002.11172</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sample-complexity-separation-between-non-convex-and-convex-meta-learning-2002.11172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sample-complexity-separation-between-non-convex-and-convex-meta-learning-2002.11172"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-discriminator-in-rkhs-function-space-for-kullback-leibler-divergence-estimation-2002.11187</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-discriminator-in-rkhs-function-space-for-kullback-leibler-divergence-estimation-2002.11187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-discriminator-in-rkhs-function-space-for-kullback-leibler-divergence-estimation-2002.11187"/></url>
<url><loc>https://scifaro.com/en/abs/embpred30-assessing-30-days-readmission-for-diabetic-patients-using-categorical-embeddings-2002.11215</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embpred30-assessing-30-days-readmission-for-diabetic-patients-using-categorical-embeddings-2002.11215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embpred30-assessing-30-days-readmission-for-diabetic-patients-using-categorical-embeddings-2002.11215"/></url>
<url><loc>https://scifaro.com/en/abs/convex-geometry-and-duality-of-over-parameterized-neural-networks-2002.11219</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-geometry-and-duality-of-over-parameterized-neural-networks-2002.11219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-geometry-and-duality-of-over-parameterized-neural-networks-2002.11219"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-and-statistical-models-for-time-critical-pedestrian-behaviour-prediction-2002.11226</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-and-statistical-models-for-time-critical-pedestrian-behaviour-prediction-2002.11226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-and-statistical-models-for-time-critical-pedestrian-behaviour-prediction-2002.11226"/></url>
<url><loc>https://scifaro.com/en/abs/attacks-which-do-not-kill-training-make-adversarial-learning-stronger-2002.11242</loc><lastmod>2020-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attacks-which-do-not-kill-training-make-adversarial-learning-stronger-2002.11242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attacks-which-do-not-kill-training-make-adversarial-learning-stronger-2002.11242"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-categorical-metric-learning-with-schatten-p-norms-2002.11246</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-categorical-metric-learning-with-schatten-p-norms-2002.11246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-categorical-metric-learning-with-schatten-p-norms-2002.11246"/></url>
<url><loc>https://scifaro.com/en/abs/dlspec-a-deep-learning-task-exchange-specification-2002.11262</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dlspec-a-deep-learning-task-exchange-specification-2002.11262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dlspec-a-deep-learning-task-exchange-specification-2002.11262"/></url>
<url><loc>https://scifaro.com/en/abs/dnn-chip-predictor-an-analytical-performance-predictor-for-dnn-accelerators-with-various-dataflows-and-hardware-architectures-2002.11270</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dnn-chip-predictor-an-analytical-performance-predictor-for-dnn-accelerators-with-various-dataflows-and-hardware-architectures-2002.11270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dnn-chip-predictor-an-analytical-performance-predictor-for-dnn-accelerators-with-various-dataflows-and-hardware-architectures-2002.11270"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-sinkhorn-attention-2002.11296</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-sinkhorn-attention-2002.11296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-sinkhorn-attention-2002.11296"/></url>
<url><loc>https://scifaro.com/en/abs/padgan-a-generative-adversarial-network-for-performance-augmented-diverse-designs-2002.11304</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/padgan-a-generative-adversarial-network-for-performance-augmented-diverse-designs-2002.11304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/padgan-a-generative-adversarial-network-for-performance-augmented-diverse-designs-2002.11304"/></url>
<url><loc>https://scifaro.com/en/abs/can-we-have-it-all-on-the-trade-off-between-spatial-and-adversarial-robustness-of-neural-networks-2002.11318</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-we-have-it-all-on-the-trade-off-between-spatial-and-adversarial-robustness-of-neural-networks-2002.11318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-we-have-it-all-on-the-trade-off-between-spatial-and-adversarial-robustness-of-neural-networks-2002.11318"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-to-second-order-stationarity-for-non-negative-matrix-factorization-provably-and-concurrently-2002.11323</loc><lastmod>2020-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-to-second-order-stationarity-for-non-negative-matrix-factorization-provably-and-concurrently-2002.11323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-to-second-order-stationarity-for-non-negative-matrix-factorization-provably-and-concurrently-2002.11323"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-bias-variance-trade-off-for-generalization-of-neural-networks-2002.11328</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-bias-variance-trade-off-for-generalization-of-neural-networks-2002.11328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-bias-variance-trade-off-for-generalization-of-neural-networks-2002.11328"/></url>
<url><loc>https://scifaro.com/en/abs/structured-linear-contextual-bandits-a-sharp-and-geometric-smoothed-analysis-2002.11332</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-linear-contextual-bandits-a-sharp-and-geometric-smoothed-analysis-2002.11332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-linear-contextual-bandits-a-sharp-and-geometric-smoothed-analysis-2002.11332"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-self-training-for-gradual-domain-adaptation-2002.11361</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-self-training-for-gradual-domain-adaptation-2002.11361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-self-training-for-gradual-domain-adaptation-2002.11361"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitz-standardization-for-multivariate-learning-2002.11369</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitz-standardization-for-multivariate-learning-2002.11369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitz-standardization-for-multivariate-learning-2002.11369"/></url>
<url><loc>https://scifaro.com/en/abs/when-do-drivers-concentrate-attention-based-driver-behavior-modeling-with-deep-reinforcement-learning-2002.11385</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-do-drivers-concentrate-attention-based-driver-behavior-modeling-with-deep-reinforcement-learning-2002.11385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-do-drivers-concentrate-attention-based-driver-behavior-modeling-with-deep-reinforcement-learning-2002.11385"/></url>
<url><loc>https://scifaro.com/en/abs/neuralsens-sensitivity-analysis-of-neural-networks-2002.11423</loc><lastmod>2023-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuralsens-sensitivity-analysis-of-neural-networks-2002.11423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuralsens-sensitivity-analysis-of-neural-networks-2002.11423"/></url>
<url><loc>https://scifaro.com/en/abs/phs-a-toolbox-for-parallel-hyperparameter-search-2002.11429</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phs-a-toolbox-for-parallel-hyperparameter-search-2002.11429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phs-a-toolbox-for-parallel-hyperparameter-search-2002.11429"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-classifiers-for-ranking-problems-based-on-kernelized-svm-2002.11436</loc><lastmod>2023-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-classifiers-for-ranking-problems-based-on-kernelized-svm-2002.11436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-classifiers-for-ranking-problems-based-on-kernelized-svm-2002.11436"/></url>
<url><loc>https://scifaro.com/en/abs/non-asymptotic-bounds-for-stochastic-optimization-with-biased-noisy-gradient-oracles-2002.11440</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-asymptotic-bounds-for-stochastic-optimization-with-biased-noisy-gradient-oracles-2002.11440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-asymptotic-bounds-for-stochastic-optimization-with-biased-noisy-gradient-oracles-2002.11440"/></url>
<url><loc>https://scifaro.com/en/abs/debayes-a-bayesian-method-for-debiasing-network-embeddings-2002.11442</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/debayes-a-bayesian-method-for-debiasing-network-embeddings-2002.11442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/debayes-a-bayesian-method-for-debiasing-network-embeddings-2002.11442"/></url>
<url><loc>https://scifaro.com/en/abs/dual-graph-representation-learning-2002.11501</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-graph-representation-learning-2002.11501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-graph-representation-learning-2002.11501"/></url>
<url><loc>https://scifaro.com/en/abs/decidability-of-sample-complexity-of-pac-learning-in-finite-setting-2002.11519</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decidability-of-sample-complexity-of-pac-learning-in-finite-setting-2002.11519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decidability-of-sample-complexity-of-pac-learning-in-finite-setting-2002.11519"/></url>
<url><loc>https://scifaro.com/en/abs/towards-utilizing-unlabeled-data-in-federated-learning-a-survey-and-prospective-2002.11545</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-utilizing-unlabeled-data-in-federated-learning-a-survey-and-prospective-2002.11545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-utilizing-unlabeled-data-in-federated-learning-a-survey-and-prospective-2002.11545"/></url>
<url><loc>https://scifaro.com/en/abs/randomization-matters-how-to-defend-against-strong-adversarial-attacks-2002.11565</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomization-matters-how-to-defend-against-strong-adversarial-attacks-2002.11565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomization-matters-how-to-defend-against-strong-adversarial-attacks-2002.11565"/></url>
<url><loc>https://scifaro.com/en/abs/overfitting-in-adversarially-robust-deep-learning-2002.11569</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overfitting-in-adversarially-robust-deep-learning-2002.11569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overfitting-in-adversarially-robust-deep-learning-2002.11569"/></url>
<url><loc>https://scifaro.com/en/abs/nestedvae-isolating-common-factors-via-weak-supervision-2002.11576</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nestedvae-isolating-common-factors-via-weak-supervision-2002.11576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nestedvae-isolating-common-factors-via-weak-supervision-2002.11576"/></url>
<url><loc>https://scifaro.com/en/abs/recommendation-on-a-budget-column-space-recovery-from-partially-observed-entries-with-random-or-active-sampling-2002.11589</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recommendation-on-a-budget-column-space-recovery-from-partially-observed-entries-with-random-or-active-sampling-2002.11589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recommendation-on-a-budget-column-space-recovery-from-partially-observed-entries-with-random-or-active-sampling-2002.11589"/></url>
<url><loc>https://scifaro.com/en/abs/dp-merf-differentially-private-mean-embeddings-with-random-features-for-practical-privacy-preserving-data-generation-2002.11603</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dp-merf-differentially-private-mean-embeddings-with-random-features-for-practical-privacy-preserving-data-generation-2002.11603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dp-merf-differentially-private-mean-embeddings-with-random-features-for-practical-privacy-preserving-data-generation-2002.11603"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-in-contextual-bandits-using-gated-linear-networks-2002.11611</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-in-contextual-bandits-using-gated-linear-networks-2002.11611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-in-contextual-bandits-using-gated-linear-networks-2002.11611"/></url>
<url><loc>https://scifaro.com/en/abs/the-differentially-private-lottery-ticket-mechanism-2002.11613</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-differentially-private-lottery-ticket-mechanism-2002.11613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-differentially-private-lottery-ticket-mechanism-2002.11613"/></url>
<url><loc>https://scifaro.com/en/abs/deep-attentive-study-session-dropout-prediction-in-mobile-learning-environment-2002.11624</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-attentive-study-session-dropout-prediction-in-mobile-learning-environment-2002.11624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-attentive-study-session-dropout-prediction-in-mobile-learning-environment-2002.11624"/></url>
<url><loc>https://scifaro.com/en/abs/learning-navigation-costs-from-demonstration-in-partially-observable-environments-2002.11637</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-navigation-costs-from-demonstration-in-partially-observable-environments-2002.11637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-navigation-costs-from-demonstration-in-partially-observable-environments-2002.11637"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-search-in-the-presence-of-adversarial-corruptions-2002.11650</loc><lastmod>2022-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-search-in-the-presence-of-adversarial-corruptions-2002.11650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-search-in-the-presence-of-adversarial-corruptions-2002.11650"/></url>
<url><loc>https://scifaro.com/en/abs/fair-learning-with-private-demographic-data-2002.11651</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-learning-with-private-demographic-data-2002.11651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-learning-with-private-demographic-data-2002.11651"/></url>
<url><loc>https://scifaro.com/en/abs/provable-meta-learning-of-linear-representations-2002.11684</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-meta-learning-of-linear-representations-2002.11684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-meta-learning-of-linear-representations-2002.11684"/></url>
<url><loc>https://scifaro.com/en/abs/clara-clinical-report-auto-completion-2002.11701</loc><lastmod>2020-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clara-clinical-report-auto-completion-2002.11701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clara-clinical-report-auto-completion-2002.11701"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-hindsight-for-reinforcement-learning-2002.11708</loc><lastmod>2020-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-hindsight-for-reinforcement-learning-2002.11708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-hindsight-for-reinforcement-learning-2002.11708"/></url>
<url><loc>https://scifaro.com/en/abs/moniqua-modulo-quantized-communication-in-decentralized-sgd-2002.11787</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moniqua-modulo-quantized-communication-in-decentralized-sgd-2002.11787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moniqua-modulo-quantized-communication-in-decentralized-sgd-2002.11787"/></url>
<url><loc>https://scifaro.com/en/abs/priu-a-provenance-based-approach-for-incrementally-updating-regression-models-2002.11791</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/priu-a-provenance-based-approach-for-incrementally-updating-regression-models-2002.11791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/priu-a-provenance-based-approach-for-incrementally-updating-regression-models-2002.11791"/></url>
<url><loc>https://scifaro.com/en/abs/learning-adversarially-robust-representations-via-worst-case-mutual-information-maximization-2002.11798</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-adversarially-robust-representations-via-worst-case-mutual-information-maximization-2002.11798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-adversarially-robust-representations-via-worst-case-mutual-information-maximization-2002.11798"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-adaptive-gradient-methods-from-learning-rates-2002.11803</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-adaptive-gradient-methods-from-learning-rates-2002.11803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-adaptive-gradient-methods-from-learning-rates-2002.11803"/></url>
<url><loc>https://scifaro.com/en/abs/memory-constrained-no-regret-learning-in-adversarial-bandits-2002.11804</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-constrained-no-regret-learning-in-adversarial-bandits-2002.11804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-constrained-no-regret-learning-in-adversarial-bandits-2002.11804"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-active-deep-forest-for-evolving-data-stream-classification-2002.11816</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-active-deep-forest-for-evolving-data-stream-classification-2002.11816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-active-deep-forest-for-evolving-data-stream-classification-2002.11816"/></url>
<url><loc>https://scifaro.com/en/abs/improving-robustness-of-deep-learning-based-image-reconstruction-2002.11821</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-robustness-of-deep-learning-based-image-reconstruction-2002.11821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-robustness-of-deep-learning-based-image-reconstruction-2002.11821"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-through-latent-canonicalizations-2002.11829</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-through-latent-canonicalizations-2002.11829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-through-latent-canonicalizations-2002.11829"/></url>
<url><loc>https://scifaro.com/en/abs/policy-evaluation-networks-2002.11833</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-evaluation-networks-2002.11833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-evaluation-networks-2002.11833"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-decompositions-in-deep-learning-2002.11835</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-decompositions-in-deep-learning-2002.11835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-decompositions-in-deep-learning-2002.11835"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-the-gap-between-spatial-and-spectral-domains-a-survey-on-graph-neural-networks-2002.11867</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-the-gap-between-spatial-and-spectral-domains-a-survey-on-graph-neural-networks-2002.11867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-the-gap-between-spatial-and-spectral-domains-a-survey-on-graph-neural-networks-2002.11867"/></url>
<url><loc>https://scifaro.com/en/abs/controllable-level-blending-between-games-using-variational-autoencoders-2002.11869</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controllable-level-blending-between-games-using-variational-autoencoders-2002.11869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controllable-level-blending-between-games-using-variational-autoencoders-2002.11869"/></url>
<url><loc>https://scifaro.com/en/abs/optimality-and-stability-in-non-convex-smooth-games-2002.11875</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimality-and-stability-in-non-convex-smooth-games-2002.11875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimality-and-stability-in-non-convex-smooth-games-2002.11875"/></url>
<url><loc>https://scifaro.com/en/abs/a-visual-communication-map-for-multi-agent-deep-reinforcement-learning-2002.11882</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-visual-communication-map-for-multi-agent-deep-reinforcement-learning-2002.11882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-visual-communication-map-for-multi-agent-deep-reinforcement-learning-2002.11882"/></url>
<url><loc>https://scifaro.com/en/abs/review-analysis-and-design-of-a-comprehensive-deep-reinforcement-learning-framework-2002.11883</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/review-analysis-and-design-of-a-comprehensive-deep-reinforcement-learning-framework-2002.11883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/review-analysis-and-design-of-a-comprehensive-deep-reinforcement-learning-framework-2002.11883"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-bi-linear-modeling-for-reconstructing-data-on-manifolds-the-dynamic-mri-case-2002.11885</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-bi-linear-modeling-for-reconstructing-data-on-manifolds-the-dynamic-mri-case-2002.11885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-bi-linear-modeling-for-reconstructing-data-on-manifolds-the-dynamic-mri-case-2002.11885"/></url>
<url><loc>https://scifaro.com/en/abs/using-a-thousand-optimization-tasks-to-learn-hyperparameter-search-strategies-2002.11887</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-a-thousand-optimization-tasks-to-learn-hyperparameter-search-strategies-2002.11887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-a-thousand-optimization-tasks-to-learn-hyperparameter-search-strategies-2002.11887"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-boosted-normalizing-flows-2002.11896</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-boosted-normalizing-flows-2002.11896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-boosted-normalizing-flows-2002.11896"/></url>
<url><loc>https://scifaro.com/en/abs/acceleration-of-actor-critic-deep-reinforcement-learning-for-visual-grasping-in-clutter-by-state-representation-learning-based-on-disentanglement-of-a-raw-input-image-2002.11903</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/acceleration-of-actor-critic-deep-reinforcement-learning-for-visual-grasping-in-clutter-by-state-representation-learning-based-on-disentanglement-of-a-raw-input-image-2002.11903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/acceleration-of-actor-critic-deep-reinforcement-learning-for-visual-grasping-in-clutter-by-state-representation-learning-based-on-disentanglement-of-a-raw-input-image-2002.11903"/></url>
<url><loc>https://scifaro.com/en/abs/network-cooperation-with-progressive-disambiguation-for-partial-label-learning-2002.11919</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-cooperation-with-progressive-disambiguation-for-partial-label-learning-2002.11919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-cooperation-with-progressive-disambiguation-for-partial-label-learning-2002.11919"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-dimensionality-reduction-and-visualization-using-centroid-encoder-2002.11934</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-dimensionality-reduction-and-visualization-using-centroid-encoder-2002.11934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-dimensionality-reduction-and-visualization-using-centroid-encoder-2002.11934"/></url>
<url><loc>https://scifaro.com/en/abs/how-much-can-a-retailer-sell-sales-forecasting-on-tmall-2002.11940</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-much-can-a-retailer-sell-sales-forecasting-on-tmall-2002.11940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-much-can-a-retailer-sell-sales-forecasting-on-tmall-2002.11940"/></url>
<url><loc>https://scifaro.com/en/abs/plannable-approximations-to-mdp-homomorphisms-equivariance-under-actions-2002.11963</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plannable-approximations-to-mdp-homomorphisms-equivariance-under-actions-2002.11963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plannable-approximations-to-mdp-homomorphisms-equivariance-under-actions-2002.11963"/></url>
<url><loc>https://scifaro.com/en/abs/adapted-tree-boosting-for-transfer-learning-2002.11982</loc><lastmod>2020-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapted-tree-boosting-for-transfer-learning-2002.11982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapted-tree-boosting-for-transfer-learning-2002.11982"/></url>
<url><loc>https://scifaro.com/en/abs/compressing-large-scale-transformer-based-models-a-case-study-on-bert-2002.11985</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressing-large-scale-transformer-based-models-a-case-study-on-bert-2002.11985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressing-large-scale-transformer-based-models-a-case-study-on-bert-2002.11985"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-for-active-cache-synchronization-2002.12014</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-for-active-cache-synchronization-2002.12014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-for-active-cache-synchronization-2002.12014"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learned-confidence-for-few-shot-learning-2002.12017</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learned-confidence-for-few-shot-learning-2002.12017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learned-confidence-for-few-shot-learning-2002.12017"/></url>
<url><loc>https://scifaro.com/en/abs/complexity-measures-and-features-for-times-series-classification-2002.12036</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complexity-measures-and-features-for-times-series-classification-2002.12036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complexity-measures-and-features-for-times-series-classification-2002.12036"/></url>
<url><loc>https://scifaro.com/en/abs/fmix-enhancing-mixed-sample-data-augmentation-2002.12047</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fmix-enhancing-mixed-sample-data-augmentation-2002.12047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fmix-enhancing-mixed-sample-data-augmentation-2002.12047"/></url>
<url><loc>https://scifaro.com/en/abs/topology-distance-a-topology-based-approach-for-evaluating-generative-adversarial-networks-2002.12054</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topology-distance-a-topology-based-approach-for-evaluating-generative-adversarial-networks-2002.12054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topology-distance-a-topology-based-approach-for-evaluating-generative-adversarial-networks-2002.12054"/></url>
<url><loc>https://scifaro.com/en/abs/training-adversarial-agents-to-exploit-weaknesses-in-deep-control-policies-2002.12078</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-adversarial-agents-to-exploit-weaknesses-in-deep-control-policies-2002.12078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-adversarial-agents-to-exploit-weaknesses-in-deep-control-policies-2002.12078"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-feature-selection-for-genomic-datasets-2002.12104</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-feature-selection-for-genomic-datasets-2002.12104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-feature-selection-for-genomic-datasets-2002.12104"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneously-evolving-deep-reinforcement-learning-models-using-multifactorial-optimization-2002.12133</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneously-evolving-deep-reinforcement-learning-models-using-multifactorial-optimization-2002.12133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneously-evolving-deep-reinforcement-learning-models-using-multifactorial-optimization-2002.12133"/></url>
<url><loc>https://scifaro.com/en/abs/block-hankel-tensor-arima-for-multiple-short-time-series-forecasting-2002.12135</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-hankel-tensor-arima-for-multiple-short-time-series-forecasting-2002.12135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-hankel-tensor-arima-for-multiple-short-time-series-forecasting-2002.12135"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-aware-learning-with-prejudice-free-representations-2002.12143</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-aware-learning-with-prejudice-free-representations-2002.12143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-aware-learning-with-prejudice-free-representations-2002.12143"/></url>
<url><loc>https://scifaro.com/en/abs/fair-adversarial-networks-2002.12144</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-adversarial-networks-2002.12144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-adversarial-networks-2002.12144"/></url>
<url><loc>https://scifaro.com/en/abs/cautious-reinforcement-learning-with-logical-constraints-2002.12156</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cautious-reinforcement-learning-with-logical-constraints-2002.12156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cautious-reinforcement-learning-with-logical-constraints-2002.12156"/></url>
<url><loc>https://scifaro.com/en/abs/a-comprehensive-approach-to-unsupervised-embedding-learning-based-on-and-algorithm-2002.12158</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comprehensive-approach-to-unsupervised-embedding-learning-based-on-and-algorithm-2002.12158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comprehensive-approach-to-unsupervised-embedding-learning-based-on-and-algorithm-2002.12158"/></url>
<url><loc>https://scifaro.com/en/abs/performance-analysis-of-semi-supervised-learning-in-the-small-data-regime-using-vaes-2002.12164</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-analysis-of-semi-supervised-learning-in-the-small-data-regime-using-vaes-2002.12164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-analysis-of-semi-supervised-learning-in-the-small-data-regime-using-vaes-2002.12164"/></url>
<url><loc>https://scifaro.com/en/abs/infinitely-wide-graph-convolutional-networks-semi-supervised-learning-via-gaussian-processes-2002.12168</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinitely-wide-graph-convolutional-networks-semi-supervised-learning-via-gaussian-processes-2002.12168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinitely-wide-graph-convolutional-networks-semi-supervised-learning-via-gaussian-processes-2002.12168"/></url>
<url><loc>https://scifaro.com/en/abs/multi-source-domain-adaptation-in-the-deep-learning-era-a-systematic-survey-2002.12169</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-source-domain-adaptation-in-the-deep-learning-era-a-systematic-survey-2002.12169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-source-domain-adaptation-in-the-deep-learning-era-a-systematic-survey-2002.12169"/></url>
<url><loc>https://scifaro.com/en/abs/kalman-recursions-aggregated-online-2002.12173</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kalman-recursions-aggregated-online-2002.12173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kalman-recursions-aggregated-online-2002.12173"/></url>
<url><loc>https://scifaro.com/en/abs/optimistic-exploration-even-with-a-pessimistic-initialisation-2002.12174</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimistic-exploration-even-with-a-pessimistic-initialisation-2002.12174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimistic-exploration-even-with-a-pessimistic-initialisation-2002.12174"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-adverse-events-in-afghanistan-regression-analysis-of-time-series-data-grouped-not-by-geographic-dependencies-2002.12211</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-adverse-events-in-afghanistan-regression-analysis-of-time-series-data-grouped-not-by-geographic-dependencies-2002.12211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-adverse-events-in-afghanistan-regression-analysis-of-time-series-data-grouped-not-by-geographic-dependencies-2002.12211"/></url>
<url><loc>https://scifaro.com/en/abs/on-isometry-robustness-of-deep-3d-point-cloud-models-under-adversarial-attacks-2002.12222</loc><lastmod>2020-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-isometry-robustness-of-deep-3d-point-cloud-models-under-adversarial-attacks-2002.12222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-isometry-robustness-of-deep-3d-point-cloud-models-under-adversarial-attacks-2002.12222"/></url>
<url><loc>https://scifaro.com/en/abs/woodbury-transformations-for-deep-generative-flows-2002.12229</loc><lastmod>2021-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/woodbury-transformations-for-deep-generative-flows-2002.12229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/woodbury-transformations-for-deep-generative-flows-2002.12229"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitz-and-comparator-norm-adaptivity-in-online-learning-2002.12242</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitz-and-comparator-norm-adaptivity-in-online-learning-2002.12242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitz-and-comparator-norm-adaptivity-in-online-learning-2002.12242"/></url>
<url><loc>https://scifaro.com/en/abs/cata-a-collaborative-dual-attentive-autoencoder-method-for-recommending-scientific-articles-2002.12277</loc><lastmod>2020-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cata-a-collaborative-dual-attentive-autoencoder-method-for-recommending-scientific-articles-2002.12277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cata-a-collaborative-dual-attentive-autoencoder-method-for-recommending-scientific-articles-2002.12277"/></url>
<url><loc>https://scifaro.com/en/abs/testing-monotonicity-of-machine-learning-models-2002.12278</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-monotonicity-of-machine-learning-models-2002.12278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-monotonicity-of-machine-learning-models-2002.12278"/></url>
<url><loc>https://scifaro.com/en/abs/deep-randomized-neural-networks-2002.12287</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-randomized-neural-networks-2002.12287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-randomized-neural-networks-2002.12287"/></url>
<url><loc>https://scifaro.com/en/abs/ride-rewarding-impact-driven-exploration-for-procedurally-generated-environments-2002.12292</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ride-rewarding-impact-driven-exploration-for-procedurally-generated-environments-2002.12292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ride-rewarding-impact-driven-exploration-for-procedurally-generated-environments-2002.12292"/></url>
<url><loc>https://scifaro.com/en/abs/an-on-device-federated-learning-approach-for-cooperative-model-update-between-edge-devices-2002.12301</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-on-device-federated-learning-approach-for-cooperative-model-update-between-edge-devices-2002.12301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-on-device-federated-learning-approach-for-cooperative-model-update-between-edge-devices-2002.12301"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-graph-neural-networks-for-malicious-account-detection-2002.12307</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-graph-neural-networks-for-malicious-account-detection-2002.12307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-graph-neural-networks-for-malicious-account-detection-2002.12307"/></url>
<url><loc>https://scifaro.com/en/abs/advances-in-collaborative-filtering-and-ranking-2002.12312</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advances-in-collaborative-filtering-and-ranking-2002.12312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advances-in-collaborative-filtering-and-ranking-2002.12312"/></url>
<url><loc>https://scifaro.com/en/abs/the-spectral-underpinning-of-word2vec-2002.12317</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-spectral-underpinning-of-word2vec-2002.12317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-spectral-underpinning-of-word2vec-2002.12317"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-effects-of-continuous-valued-interventions-using-generative-adversarial-networks-2002.12326</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-effects-of-continuous-valued-interventions-using-generative-adversarial-networks-2002.12326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-effects-of-continuous-valued-interventions-using-generative-adversarial-networks-2002.12326"/></url>
<url><loc>https://scifaro.com/en/abs/a-distributional-framework-for-data-valuation-2002.12334</loc><lastmod>2020-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributional-framework-for-data-valuation-2002.12334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributional-framework-for-data-valuation-2002.12334"/></url>
<url><loc>https://scifaro.com/en/abs/neurips-2019-disentanglement-challenge-improved-disentanglement-through-learned-aggregation-of-convolutional-feature-maps-2002.12356</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neurips-2019-disentanglement-challenge-improved-disentanglement-through-learned-aggregation-of-convolutional-feature-maps-2002.12356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neurips-2019-disentanglement-challenge-improved-disentanglement-through-learned-aggregation-of-convolutional-feature-maps-2002.12356"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-models-of-learning-to-learn-2002.12364</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-models-of-learning-to-learn-2002.12364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-models-of-learning-to-learn-2002.12364"/></url>
<url><loc>https://scifaro.com/en/abs/tss-transformation-specific-smoothing-for-robustness-certification-2002.12398</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tss-transformation-specific-smoothing-for-robustness-certification-2002.12398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tss-transformation-specific-smoothing-for-robustness-certification-2002.12398"/></url>
<url><loc>https://scifaro.com/en/abs/conqur-mitigating-delusional-bias-in-deep-q-learning-2002.12399</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conqur-mitigating-delusional-bias-in-deep-q-learning-2002.12399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conqur-mitigating-delusional-bias-in-deep-q-learning-2002.12399"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-enhanced-soft-subspace-clustering-sessc-for-tsk-fuzzy-classifiers-2002.12404</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-enhanced-soft-subspace-clustering-sessc-for-tsk-fuzzy-classifiers-2002.12404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-enhanced-soft-subspace-clustering-sessc-for-tsk-fuzzy-classifiers-2002.12404"/></url>
<url><loc>https://scifaro.com/en/abs/a-free-energy-principle-for-representation-learning-2002.12406</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-free-energy-principle-for-representation-learning-2002.12406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-free-energy-principle-for-representation-learning-2002.12406"/></url>
<url><loc>https://scifaro.com/en/abs/on-biased-compression-for-distributed-learning-2002.12410</loc><lastmod>2024-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-biased-compression-for-distributed-learning-2002.12410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-biased-compression-for-distributed-learning-2002.12410"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-nesterov-s-accelerated-gradient-method-in-stochastic-settings-2002.12414</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-nesterov-s-accelerated-gradient-method-in-stochastic-settings-2002.12414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-nesterov-s-accelerated-gradient-method-in-stochastic-settings-2002.12414"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-markov-decision-processes-under-constraints-2002.12435</loc><lastmod>2023-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-markov-decision-processes-under-constraints-2002.12435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-markov-decision-processes-under-constraints-2002.12435"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-third-person-imitation-from-offline-observation-2002.12446</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-third-person-imitation-from-offline-observation-2002.12446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-third-person-imitation-from-offline-observation-2002.12446"/></url>
<url><loc>https://scifaro.com/en/abs/is-the-meta-learning-idea-able-to-improve-the-generalization-of-deep-neural-networks-on-the-standard-supervised-learning-2002.12455</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-the-meta-learning-idea-able-to-improve-the-generalization-of-deep-neural-networks-on-the-standard-supervised-learning-2002.12455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-the-meta-learning-idea-able-to-improve-the-generalization-of-deep-neural-networks-on-the-standard-supervised-learning-2002.12455"/></url>
<url><loc>https://scifaro.com/en/abs/correlated-feature-selection-with-extended-exclusive-group-lasso-2002.12460</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlated-feature-selection-with-extended-exclusive-group-lasso-2002.12460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlated-feature-selection-with-extended-exclusive-group-lasso-2002.12460"/></url>
<url><loc>https://scifaro.com/en/abs/leep-a-new-measure-to-evaluate-transferability-of-learned-representations-2002.12462</loc><lastmod>2020-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leep-a-new-measure-to-evaluate-transferability-of-learned-representations-2002.12462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leep-a-new-measure-to-evaluate-transferability-of-learned-representations-2002.12462"/></url>
<url><loc>https://scifaro.com/en/abs/certified-defense-to-image-transformations-via-randomized-smoothing-2002.12463</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certified-defense-to-image-transformations-via-randomized-smoothing-2002.12463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certified-defense-to-image-transformations-via-randomized-smoothing-2002.12463"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-data-augmentation-for-deep-learning-a-survey-2002.12478</loc><lastmod>2022-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-data-augmentation-for-deep-learning-a-survey-2002.12478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-data-augmentation-for-deep-learning-a-survey-2002.12478"/></url>
<url><loc>https://scifaro.com/en/abs/on-catastrophic-interference-in-atari-2600-games-2002.12499</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-catastrophic-interference-in-atari-2600-games-2002.12499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-catastrophic-interference-in-atari-2600-games-2002.12499"/></url>
<url><loc>https://scifaro.com/en/abs/efficiently-guiding-imitation-learning-agents-with-human-gaze-2002.12500</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiently-guiding-imitation-learning-agents-with-human-gaze-2002.12500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiently-guiding-imitation-learning-agents-with-human-gaze-2002.12500"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multivariate-hawkes-processes-at-scale-2002.12501</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multivariate-hawkes-processes-at-scale-2002.12501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multivariate-hawkes-processes-at-scale-2002.12501"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-k-means-and-k-medians-clustering-2002.12538</loc><lastmod>2020-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-k-means-and-k-medians-clustering-2002.12538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-k-means-and-k-medians-clustering-2002.12538"/></url>
<url><loc>https://scifaro.com/en/abs/global-convergence-and-geometric-characterization-of-slow-to-fast-weight-evolution-in-neural-network-training-for-classifying-linearly-non-separable-data-2002.12563</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convergence-and-geometric-characterization-of-slow-to-fast-weight-evolution-in-neural-network-training-for-classifying-linearly-non-separable-data-2002.12563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convergence-and-geometric-characterization-of-slow-to-fast-weight-evolution-in-neural-network-training-for-classifying-linearly-non-separable-data-2002.12563"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-method-of-training-small-models-for-regression-problems-with-knowledge-distillation-2002.12597</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-method-of-training-small-models-for-regression-problems-with-knowledge-distillation-2002.12597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-method-of-training-small-models-for-regression-problems-with-knowledge-distillation-2002.12597"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-strategies-for-robust-optimization-of-unknown-objectives-2002.12613</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-strategies-for-robust-optimization-of-unknown-objectives-2002.12613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-strategies-for-robust-optimization-of-unknown-objectives-2002.12613"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-through-active-inference-2002.12636</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-through-active-inference-2002.12636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-through-active-inference-2002.12636"/></url>
<url><loc>https://scifaro.com/en/abs/adargcn-adaptive-aggregation-gcn-for-few-shot-learning-2002.12641</loc><lastmod>2020-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adargcn-adaptive-aggregation-gcn-for-few-shot-learning-2002.12641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adargcn-adaptive-aggregation-gcn-for-few-shot-learning-2002.12641"/></url>
<url><loc>https://scifaro.com/en/abs/do-optimization-methods-in-deep-learning-applications-matter-2002.12642</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-optimization-methods-in-deep-learning-applications-matter-2002.12642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-optimization-methods-in-deep-learning-applications-matter-2002.12642"/></url>
<url><loc>https://scifaro.com/en/abs/hotcake-higher-order-tucker-articulated-kernels-for-deeper-cnn-compression-2002.12663</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hotcake-higher-order-tucker-articulated-kernels-for-deeper-cnn-compression-2002.12663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hotcake-higher-order-tucker-articulated-kernels-for-deeper-cnn-compression-2002.12663"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-gradient-methods-does-topology-matter-2002.12688</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-gradient-methods-does-topology-matter-2002.12688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-gradient-methods-does-topology-matter-2002.12688"/></url>
<url><loc>https://scifaro.com/en/abs/drocc-deep-robust-one-class-classification-2002.12718</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drocc-deep-robust-one-class-classification-2002.12718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drocc-deep-robust-one-class-classification-2002.12718"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-spectral-kernel-learning-2002.12744</loc><lastmod>2020-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-spectral-kernel-learning-2002.12744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-spectral-kernel-learning-2002.12744"/></url>
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<url><loc>https://scifaro.com/en/abs/ego-based-entropy-measures-for-structural-representations-2003.00553</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ego-based-entropy-measures-for-structural-representations-2003.00553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ego-based-entropy-measures-for-structural-representations-2003.00553"/></url>
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<url><loc>https://scifaro.com/en/abs/stein-variational-inference-for-discrete-distributions-2003.00605</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stein-variational-inference-for-discrete-distributions-2003.00605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stein-variational-inference-for-discrete-distributions-2003.00605"/></url>
<url><loc>https://scifaro.com/en/abs/mbgd-rda-training-and-rule-pruning-for-concise-tsk-fuzzy-regression-models-2003.00608</loc><lastmod>2020-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mbgd-rda-training-and-rule-pruning-for-concise-tsk-fuzzy-regression-models-2003.00608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mbgd-rda-training-and-rule-pruning-for-concise-tsk-fuzzy-regression-models-2003.00608"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-force-control-for-contact-rich-manipulation-tasks-with-rigid-position-controlled-robots-2003.00628</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-force-control-for-contact-rich-manipulation-tasks-with-rigid-position-controlled-robots-2003.00628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-force-control-for-contact-rich-manipulation-tasks-with-rigid-position-controlled-robots-2003.00628"/></url>
<url><loc>https://scifaro.com/en/abs/sparsity-meets-robustness-channel-pruning-for-the-feynman-kac-formalism-principled-robust-deep-neural-nets-2003.00631</loc><lastmod>2020-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsity-meets-robustness-channel-pruning-for-the-feynman-kac-formalism-principled-robust-deep-neural-nets-2003.00631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsity-meets-robustness-channel-pruning-for-the-feynman-kac-formalism-principled-robust-deep-neural-nets-2003.00631"/></url>
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<url><loc>https://scifaro.com/en/abs/tensor-networks-for-probabilistic-sequence-modeling-2003.01039</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-networks-for-probabilistic-sequence-modeling-2003.01039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-networks-for-probabilistic-sequence-modeling-2003.01039"/></url>
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<url><loc>https://scifaro.com/en/abs/hyper-parameter-optimization-a-review-of-algorithms-and-applications-2003.05689</loc><lastmod>2020-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyper-parameter-optimization-a-review-of-algorithms-and-applications-2003.05689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyper-parameter-optimization-a-review-of-algorithms-and-applications-2003.05689"/></url>
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<url><loc>https://scifaro.com/en/abs/suod-accelerating-large-scale-unsupervised-heterogeneous-outlier-detection-2003.05731</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/suod-accelerating-large-scale-unsupervised-heterogeneous-outlier-detection-2003.05731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/suod-accelerating-large-scale-unsupervised-heterogeneous-outlier-detection-2003.05731"/></url>
<url><loc>https://scifaro.com/en/abs/towards-practical-lottery-ticket-hypothesis-for-adversarial-training-2003.05733</loc><lastmod>2020-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-practical-lottery-ticket-hypothesis-for-adversarial-training-2003.05733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-practical-lottery-ticket-hypothesis-for-adversarial-training-2003.05733"/></url>
<url><loc>https://scifaro.com/en/abs/ig-rl-inductive-graph-reinforcement-learning-for-massive-scale-traffic-signal-control-2003.05738</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ig-rl-inductive-graph-reinforcement-learning-for-massive-scale-traffic-signal-control-2003.05738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ig-rl-inductive-graph-reinforcement-learning-for-massive-scale-traffic-signal-control-2003.05738"/></url>
<url><loc>https://scifaro.com/en/abs/technical-report-training-mixture-density-networks-with-full-covariance-matrices-2003.05739</loc><lastmod>2020-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/technical-report-training-mixture-density-networks-with-full-covariance-matrices-2003.05739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/technical-report-training-mixture-density-networks-with-full-covariance-matrices-2003.05739"/></url>
<url><loc>https://scifaro.com/en/abs/learning-algebraic-multigrid-using-graph-neural-networks-2003.05744</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-algebraic-multigrid-using-graph-neural-networks-2003.05744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-algebraic-multigrid-using-graph-neural-networks-2003.05744"/></url>
<url><loc>https://scifaro.com/en/abs/fast-local-linear-regression-with-anchor-regularization-2003.05747</loc><lastmod>2020-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-local-linear-regression-with-anchor-regularization-2003.05747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-local-linear-regression-with-anchor-regularization-2003.05747"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-away-attacks-against-neural-networks-2003.05748</loc><lastmod>2020-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-away-attacks-against-neural-networks-2003.05748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-away-attacks-against-neural-networks-2003.05748"/></url>
<url><loc>https://scifaro.com/en/abs/topological-effects-on-attacks-against-vertex-classification-2003.05822</loc><lastmod>2020-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-effects-on-attacks-against-vertex-classification-2003.05822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-effects-on-attacks-against-vertex-classification-2003.05822"/></url>
<url><loc>https://scifaro.com/en/abs/option-discovery-in-the-absence-of-rewards-with-manifold-analysis-2003.05878</loc><lastmod>2020-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/option-discovery-in-the-absence-of-rewards-with-manifold-analysis-2003.05878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/option-discovery-in-the-absence-of-rewards-with-manifold-analysis-2003.05878"/></url>
<url><loc>https://scifaro.com/en/abs/truncated-inference-for-latent-variable-optimization-problems-application-to-robust-estimation-and-learning-2003.05886</loc><lastmod>2020-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truncated-inference-for-latent-variable-optimization-problems-application-to-robust-estimation-and-learning-2003.05886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truncated-inference-for-latent-variable-optimization-problems-application-to-robust-estimation-and-learning-2003.05886"/></url>
<url><loc>https://scifaro.com/en/abs/learning-distributed-representations-of-graphs-with-geo2dr-2003.05926</loc><lastmod>2020-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-distributed-representations-of-graphs-with-geo2dr-2003.05926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-distributed-representations-of-graphs-with-geo2dr-2003.05926"/></url>
<url><loc>https://scifaro.com/en/abs/post-estimation-smoothing-a-simple-baseline-for-learning-with-side-information-2003.05955</loc><lastmod>2020-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-estimation-smoothing-a-simple-baseline-for-learning-with-side-information-2003.05955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-estimation-smoothing-a-simple-baseline-for-learning-with-side-information-2003.05955"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-hyper-parameters-for-small-games-iterations-or-epochs-in-self-play-2003.05988</loc><lastmod>2020-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-hyper-parameters-for-small-games-iterations-or-epochs-in-self-play-2003.05988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-hyper-parameters-for-small-games-iterations-or-epochs-in-self-play-2003.05988"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-criteria-approach-for-fast-and-outlier-aware-representative-selection-from-manifolds-2003.05989</loc><lastmod>2020-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-criteria-approach-for-fast-and-outlier-aware-representative-selection-from-manifolds-2003.05989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-criteria-approach-for-fast-and-outlier-aware-representative-selection-from-manifolds-2003.05989"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoders-2003.05991</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoders-2003.05991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoders-2003.05991"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-gnn-initializations-for-low-resource-molecular-property-prediction-2003.05996</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-gnn-initializations-for-low-resource-molecular-property-prediction-2003.05996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-gnn-initializations-for-low-resource-molecular-property-prediction-2003.05996"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-content-based-sparse-attention-with-routing-transformers-2003.05997</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-content-based-sparse-attention-with-routing-transformers-2003.05997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-content-based-sparse-attention-with-routing-transformers-2003.05997"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-control-and-regret-minimization-in-linear-quadratic-gaussian-lqg-setting-2003.05999</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-control-and-regret-minimization-in-linear-quadratic-gaussian-lqg-setting-2003.05999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-control-and-regret-minimization-in-linear-quadratic-gaussian-lqg-setting-2003.05999"/></url>
<url><loc>https://scifaro.com/en/abs/model-agnostic-multilevel-explanations-2003.06005</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-agnostic-multilevel-explanations-2003.06005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-agnostic-multilevel-explanations-2003.06005"/></url>
<url><loc>https://scifaro.com/en/abs/invariant-causal-prediction-for-block-mdps-2003.06016</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariant-causal-prediction-for-block-mdps-2003.06016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariant-causal-prediction-for-block-mdps-2003.06016"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-based-graph-alignment-2003.06048</loc><lastmod>2020-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-based-graph-alignment-2003.06048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-based-graph-alignment-2003.06048"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-relational-reasoning-in-knowledge-graphs-with-reinforcement-learning-2003.06050</loc><lastmod>2020-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-relational-reasoning-in-knowledge-graphs-with-reinforcement-learning-2003.06050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-relational-reasoning-in-knowledge-graphs-with-reinforcement-learning-2003.06050"/></url>
<url><loc>https://scifaro.com/en/abs/your-gan-is-secretly-an-energy-based-model-and-you-should-use-discriminator-driven-latent-sampling-2003.06060</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/your-gan-is-secretly-an-energy-based-model-and-you-should-use-discriminator-driven-latent-sampling-2003.06060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/your-gan-is-secretly-an-energy-based-model-and-you-should-use-discriminator-driven-latent-sampling-2003.06060"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-through-learning-from-demonstrations-in-minecraft-2003.06066</loc><lastmod>2020-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-through-learning-from-demonstrations-in-minecraft-2003.06066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-through-learning-from-demonstrations-in-minecraft-2003.06066"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-for-learning-mean-field-games-2003.06069</loc><lastmod>2023-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-for-learning-mean-field-games-2003.06069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-for-learning-mean-field-games-2003.06069"/></url>
<url><loc>https://scifaro.com/en/abs/coronary-artery-segmentation-from-intravascular-optical-coherence-tomography-using-deep-capsules-2003.06080</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coronary-artery-segmentation-from-intravascular-optical-coherence-tomography-using-deep-capsules-2003.06080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coronary-artery-segmentation-from-intravascular-optical-coherence-tomography-using-deep-capsules-2003.06080"/></url>
<url><loc>https://scifaro.com/en/abs/learning-by-sampling-and-compressing-efficient-graph-representation-learning-with-extremely-limited-annotations-2003.06100</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-by-sampling-and-compressing-efficient-graph-representation-learning-with-extremely-limited-annotations-2003.06100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-by-sampling-and-compressing-efficient-graph-representation-learning-with-extremely-limited-annotations-2003.06100"/></url>
<url><loc>https://scifaro.com/en/abs/a-graph-convolutional-topic-model-for-short-and-noisy-text-streams-2003.06112</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-graph-convolutional-topic-model-for-short-and-noisy-text-streams-2003.06112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-graph-convolutional-topic-model-for-short-and-noisy-text-streams-2003.06112"/></url>
<url><loc>https://scifaro.com/en/abs/ultra-efficient-transfer-learning-with-meta-update-for-cross-subject-eeg-classification-2003.06113</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ultra-efficient-transfer-learning-with-meta-update-for-cross-subject-eeg-classification-2003.06113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ultra-efficient-transfer-learning-with-meta-update-for-cross-subject-eeg-classification-2003.06113"/></url>
<url><loc>https://scifaro.com/en/abs/when-are-non-parametric-methods-robust-2003.06121</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-are-non-parametric-methods-robust-2003.06121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-are-non-parametric-methods-robust-2003.06121"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-transformation-of-prior-knowledge-into-bayesian-models-for-data-streams-2003.06123</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-transformation-of-prior-knowledge-into-bayesian-models-for-data-streams-2003.06123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-transformation-of-prior-knowledge-into-bayesian-models-for-data-streams-2003.06123"/></url>
<url><loc>https://scifaro.com/en/abs/can-implicit-bias-explain-generalization-stochastic-convex-optimization-as-a-case-study-2003.06152</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-implicit-bias-explain-generalization-stochastic-convex-optimization-as-a-case-study-2003.06152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-implicit-bias-explain-generalization-stochastic-convex-optimization-as-a-case-study-2003.06152"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effectiveness-of-convolutional-autoencoders-on-image-based-personalized-recommender-systems-2003.06205</loc><lastmod>2020-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effectiveness-of-convolutional-autoencoders-on-image-based-personalized-recommender-systems-2003.06205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effectiveness-of-convolutional-autoencoders-on-image-based-personalized-recommender-systems-2003.06205"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-fairness-in-energy-harvesting-a-maximin-multi-armed-bandits-approach-2003.06213</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-fairness-in-energy-harvesting-a-maximin-multi-armed-bandits-approach-2003.06213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-fairness-in-energy-harvesting-a-maximin-multi-armed-bandits-approach-2003.06213"/></url>
<url><loc>https://scifaro.com/en/abs/what-information-does-a-resnet-compress-2003.06254</loc><lastmod>2020-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-information-does-a-resnet-compress-2003.06254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-information-does-a-resnet-compress-2003.06254"/></url>
<url><loc>https://scifaro.com/en/abs/taylor-expansion-policy-optimization-2003.06259</loc><lastmod>2020-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taylor-expansion-policy-optimization-2003.06259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taylor-expansion-policy-optimization-2003.06259"/></url>
<url><loc>https://scifaro.com/en/abs/compressing-deep-neural-networks-on-fpgas-to-binary-and-ternary-precision-with-hls4ml-2003.06308</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressing-deep-neural-networks-on-fpgas-to-binary-and-ternary-precision-with-hls4ml-2003.06308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressing-deep-neural-networks-on-fpgas-to-binary-and-ternary-precision-with-hls4ml-2003.06308"/></url>
<url><loc>https://scifaro.com/en/abs/micro-supervised-disturbance-learning-a-perspective-of-representation-probability-distribution-2003.06321</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/micro-supervised-disturbance-learning-a-perspective-of-representation-probability-distribution-2003.06321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/micro-supervised-disturbance-learning-a-perspective-of-representation-probability-distribution-2003.06321"/></url>
<url><loc>https://scifaro.com/en/abs/on-alignment-in-deep-linear-neural-networks-2003.06340</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-alignment-in-deep-linear-neural-networks-2003.06340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-alignment-in-deep-linear-neural-networks-2003.06340"/></url>
<url><loc>https://scifaro.com/en/abs/interference-and-generalization-in-temporal-difference-learning-2003.06350</loc><lastmod>2020-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interference-and-generalization-in-temporal-difference-learning-2003.06350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interference-and-generalization-in-temporal-difference-learning-2003.06350"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-graphical-memory-for-robust-planning-2003.06417</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-graphical-memory-for-robust-planning-2003.06417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-graphical-memory-for-robust-planning-2003.06417"/></url>
<url><loc>https://scifaro.com/en/abs/neural-generators-of-sparse-local-linear-models-for-achieving-both-accuracy-and-interpretability-2003.06441</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-generators-of-sparse-local-linear-models-for-achieving-both-accuracy-and-interpretability-2003.06441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-generators-of-sparse-local-linear-models-for-achieving-both-accuracy-and-interpretability-2003.06441"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-medical-treatment-for-sepsis-in-intensive-care-from-reinforcement-learning-to-pre-trial-evaluation-2003.06474</loc><lastmod>2020-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-medical-treatment-for-sepsis-in-intensive-care-from-reinforcement-learning-to-pre-trial-evaluation-2003.06474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-medical-treatment-for-sepsis-in-intensive-care-from-reinforcement-learning-to-pre-trial-evaluation-2003.06474"/></url>
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<url><loc>https://scifaro.com/en/abs/a-unifying-mutual-information-view-of-metric-learning-cross-entropy-vs-pairwise-losses-2003.08983</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unifying-mutual-information-view-of-metric-learning-cross-entropy-vs-pairwise-losses-2003.08983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unifying-mutual-information-view-of-metric-learning-cross-entropy-vs-pairwise-losses-2003.08983"/></url>
<url><loc>https://scifaro.com/en/abs/disentanglement-with-hyperspherical-latent-spaces-using-diffusion-variational-autoencoders-2003.08996</loc><lastmod>2020-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentanglement-with-hyperspherical-latent-spaces-using-diffusion-variational-autoencoders-2003.08996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentanglement-with-hyperspherical-latent-spaces-using-diffusion-variational-autoencoders-2003.08996"/></url>
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<url><loc>https://scifaro.com/en/abs/probabilistic-dual-network-architecture-search-on-graphs-2003.09676</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-dual-network-architecture-search-on-graphs-2003.09676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-dual-network-architecture-search-on-graphs-2003.09676"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-deep-reinforcement-learning-with-the-aid-of-partial-model-energy-efficient-predictive-video-streaming-2003.09708</loc><lastmod>2020-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-deep-reinforcement-learning-with-the-aid-of-partial-model-energy-efficient-predictive-video-streaming-2003.09708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-deep-reinforcement-learning-with-the-aid-of-partial-model-energy-efficient-predictive-video-streaming-2003.09708"/></url>
<url><loc>https://scifaro.com/en/abs/robust-out-of-distribution-detection-for-neural-networks-2003.09711</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-out-of-distribution-detection-for-neural-networks-2003.09711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-out-of-distribution-detection-for-neural-networks-2003.09711"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-power-and-limitations-of-teaching-with-imperfect-knowledge-2003.09712</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-power-and-limitations-of-teaching-with-imperfect-knowledge-2003.09712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-power-and-limitations-of-teaching-with-imperfect-knowledge-2003.09712"/></url>
<url><loc>https://scifaro.com/en/abs/boosttree-and-boostforest-for-ensemble-learning-2003.09737</loc><lastmod>2022-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosttree-and-boostforest-for-ensemble-learning-2003.09737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosttree-and-boostforest-for-ensemble-learning-2003.09737"/></url>
<url><loc>https://scifaro.com/en/abs/arda-automatic-relational-data-augmentation-for-machine-learning-2003.09758</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arda-automatic-relational-data-augmentation-for-machine-learning-2003.09758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arda-automatic-relational-data-augmentation-for-machine-learning-2003.09758"/></url>
<url><loc>https://scifaro.com/en/abs/invariant-rationalization-2003.09772</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariant-rationalization-2003.09772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariant-rationalization-2003.09772"/></url>
<url><loc>https://scifaro.com/en/abs/deep-markov-spatio-temporal-factorization-2003.09779</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-markov-spatio-temporal-factorization-2003.09779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-markov-spatio-temporal-factorization-2003.09779"/></url>
<url><loc>https://scifaro.com/en/abs/deep-synthetic-minority-over-sampling-technique-2003.09788</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-synthetic-minority-over-sampling-technique-2003.09788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-synthetic-minority-over-sampling-technique-2003.09788"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-no-regret-learning-in-repeated-first-price-auctions-2003.09795</loc><lastmod>2024-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-no-regret-learning-in-repeated-first-price-auctions-2003.09795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-no-regret-learning-in-repeated-first-price-auctions-2003.09795"/></url>
<url><loc>https://scifaro.com/en/abs/bs-nas-broadening-and-shrinking-one-shot-nas-with-searchable-numbers-of-channels-2003.09821</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bs-nas-broadening-and-shrinking-one-shot-nas-with-searchable-numbers-of-channels-2003.09821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bs-nas-broadening-and-shrinking-one-shot-nas-with-searchable-numbers-of-channels-2003.09821"/></url>
<url><loc>https://scifaro.com/en/abs/tune-smarter-not-harder-a-principled-approach-to-tuning-learning-rates-for-shallow-nets-2003.09844</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tune-smarter-not-harder-a-principled-approach-to-tuning-learning-rates-for-shallow-nets-2003.09844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tune-smarter-not-harder-a-principled-approach-to-tuning-learning-rates-for-shallow-nets-2003.09844"/></url>
<url><loc>https://scifaro.com/en/abs/tanhexp-a-smooth-activation-function-with-high-convergence-speed-for-lightweight-neural-networks-2003.09855</loc><lastmod>2020-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tanhexp-a-smooth-activation-function-with-high-convergence-speed-for-lightweight-neural-networks-2003.09855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tanhexp-a-smooth-activation-function-with-high-convergence-speed-for-lightweight-neural-networks-2003.09855"/></url>
<url><loc>https://scifaro.com/en/abs/multi-target-regression-via-output-space-quantization-2003.09896</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-target-regression-via-output-space-quantization-2003.09896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-target-regression-via-output-space-quantization-2003.09896"/></url>
<url><loc>https://scifaro.com/en/abs/k-core-based-temporal-graph-convolutional-network-for-dynamic-graphs-2003.09902</loc><lastmod>2020-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-core-based-temporal-graph-convolutional-network-for-dynamic-graphs-2003.09902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-core-based-temporal-graph-convolutional-network-for-dynamic-graphs-2003.09902"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-in-graph-neural-networks-with-experience-replay-2003.09908</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-in-graph-neural-networks-with-experience-replay-2003.09908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-in-graph-neural-networks-with-experience-replay-2003.09908"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multi-attributed-graph-translation-with-node-edge-co-evolution-2003.09945</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multi-attributed-graph-translation-with-node-edge-co-evolution-2003.09945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multi-attributed-graph-translation-with-node-edge-co-evolution-2003.09945"/></url>
<url><loc>https://scifaro.com/en/abs/on-calibration-of-mixup-training-for-deep-neural-networks-2003.09946</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-calibration-of-mixup-training-for-deep-neural-networks-2003.09946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-calibration-of-mixup-training-for-deep-neural-networks-2003.09946"/></url>
<url><loc>https://scifaro.com/en/abs/software-system-for-road-condition-forecast-correction-2003.09957</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/software-system-for-road-condition-forecast-correction-2003.09957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/software-system-for-road-condition-forecast-correction-2003.09957"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-robustness-of-deep-neural-network-classifiers-for-breast-cancer-screening-2003.10041</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-robustness-of-deep-neural-network-classifiers-for-breast-cancer-screening-2003.10041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-robustness-of-deep-neural-network-classifiers-for-breast-cancer-screening-2003.10041"/></url>
<url><loc>https://scifaro.com/en/abs/absolute-shapley-value-2003.10076</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/absolute-shapley-value-2003.10076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/absolute-shapley-value-2003.10076"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-for-non-stationary-generalized-linear-bandits-2003.10113</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-non-stationary-generalized-linear-bandits-2003.10113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-non-stationary-generalized-linear-bandits-2003.10113"/></url>
<url><loc>https://scifaro.com/en/abs/incomplete-graph-representation-and-learning-via-partial-graph-neural-networks-2003.10130</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incomplete-graph-representation-and-learning-via-partial-graph-neural-networks-2003.10130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incomplete-graph-representation-and-learning-via-partial-graph-neural-networks-2003.10130"/></url>
<url><loc>https://scifaro.com/en/abs/julia-language-in-machine-learning-algorithms-applications-and-open-issues-2003.10146</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/julia-language-in-machine-learning-algorithms-applications-and-open-issues-2003.10146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/julia-language-in-machine-learning-algorithms-applications-and-open-issues-2003.10146"/></url>
<url><loc>https://scifaro.com/en/abs/learned-weight-sharing-for-deep-multi-task-learning-by-natural-evolution-strategy-and-stochastic-gradient-descent-2003.10159</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learned-weight-sharing-for-deep-multi-task-learning-by-natural-evolution-strategy-and-stochastic-gradient-descent-2003.10159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learned-weight-sharing-for-deep-multi-task-learning-by-natural-evolution-strategy-and-stochastic-gradient-descent-2003.10159"/></url>
<url><loc>https://scifaro.com/en/abs/depth-enables-long-term-memory-for-recurrent-neural-networks-2003.10163</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depth-enables-long-term-memory-for-recurrent-neural-networks-2003.10163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depth-enables-long-term-memory-for-recurrent-neural-networks-2003.10163"/></url>
<url><loc>https://scifaro.com/en/abs/deep-bayesian-gaussian-processes-for-uncertainty-estimation-in-electronic-health-records-2003.10170</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-bayesian-gaussian-processes-for-uncertainty-estimation-in-electronic-health-records-2003.10170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-bayesian-gaussian-processes-for-uncertainty-estimation-in-electronic-health-records-2003.10170"/></url>
<url><loc>https://scifaro.com/en/abs/importance-of-using-appropriate-baselines-for-evaluation-of-data-efficiency-in-deep-reinforcement-learning-for-atari-2003.10181</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-of-using-appropriate-baselines-for-evaluation-of-data-efficiency-in-deep-reinforcement-learning-for-atari-2003.10181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-of-using-appropriate-baselines-for-evaluation-of-data-efficiency-in-deep-reinforcement-learning-for-atari-2003.10181"/></url>
<url><loc>https://scifaro.com/en/abs/eigen-component-analysis-a-quantum-theory-incorporated-machine-learning-technique-to-find-linearly-maximum-separable-components-2003.10199</loc><lastmod>2020-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigen-component-analysis-a-quantum-theory-incorporated-machine-learning-technique-to-find-linearly-maximum-separable-components-2003.10199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigen-component-analysis-a-quantum-theory-incorporated-machine-learning-technique-to-find-linearly-maximum-separable-components-2003.10199"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-sampling-generation-from-explicit-densities-via-normalizing-flows-2003.10200</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-sampling-generation-from-explicit-densities-via-normalizing-flows-2003.10200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-sampling-generation-from-explicit-densities-via-normalizing-flows-2003.10200"/></url>
<url><loc>https://scifaro.com/en/abs/wise-sliding-window-segmentation-a-classification-aided-approach-for-trajectory-segmentation-2003.10248</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wise-sliding-window-segmentation-a-classification-aided-approach-for-trajectory-segmentation-2003.10248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wise-sliding-window-segmentation-a-classification-aided-approach-for-trajectory-segmentation-2003.10248"/></url>
<url><loc>https://scifaro.com/en/abs/using-deep-reinforcement-learning-methods-for-autonomous-vessels-in-2d-environments-2003.10249</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-deep-reinforcement-learning-methods-for-autonomous-vessels-in-2d-environments-2003.10249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-deep-reinforcement-learning-methods-for-autonomous-vessels-in-2d-environments-2003.10249"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-for-decentralized-controllers-2003.10280</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-for-decentralized-controllers-2003.10280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-for-decentralized-controllers-2003.10280"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-based-deep-active-learning-2003.10339</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-based-deep-active-learning-2003.10339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-based-deep-active-learning-2003.10339"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-relational-background-knowledge-into-reinforcement-learning-via-differentiable-inductive-logic-programming-2003.10386</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-relational-background-knowledge-into-reinforcement-learning-via-differentiable-inductive-logic-programming-2003.10386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-relational-background-knowledge-into-reinforcement-learning-via-differentiable-inductive-logic-programming-2003.10386"/></url>
<url><loc>https://scifaro.com/en/abs/steepest-descent-neural-architecture-optimization-escaping-local-optimum-with-signed-neural-splitting-2003.10392</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/steepest-descent-neural-architecture-optimization-escaping-local-optimum-with-signed-neural-splitting-2003.10392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/steepest-descent-neural-architecture-optimization-escaping-local-optimum-with-signed-neural-splitting-2003.10392"/></url>
<url><loc>https://scifaro.com/en/abs/critical-point-finding-methods-reveal-gradient-flat-regions-of-deep-network-losses-2003.10397</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/critical-point-finding-methods-reveal-gradient-flat-regions-of-deep-network-losses-2003.10397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/critical-point-finding-methods-reveal-gradient-flat-regions-of-deep-network-losses-2003.10397"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-theory-of-decentralized-sgd-with-changing-topology-and-local-updates-2003.10422</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-theory-of-decentralized-sgd-with-changing-topology-and-local-updates-2003.10422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-theory-of-decentralized-sgd-with-changing-topology-and-local-updates-2003.10422"/></url>
<url><loc>https://scifaro.com/en/abs/evolutionary-population-curriculum-for-scaling-multi-agent-reinforcement-learning-2003.10423</loc><lastmod>2020-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolutionary-population-curriculum-for-scaling-multi-agent-reinforcement-learning-2003.10423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolutionary-population-curriculum-for-scaling-multi-agent-reinforcement-learning-2003.10423"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-tensor-kernel-methods-for-sparse-regression-2003.10482</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-tensor-kernel-methods-for-sparse-regression-2003.10482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-tensor-kernel-methods-for-sparse-regression-2003.10482"/></url>
<url><loc>https://scifaro.com/en/abs/creating-synthetic-datasets-via-evolution-for-neural-program-synthesis-2003.10485</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/creating-synthetic-datasets-via-evolution-for-neural-program-synthesis-2003.10485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/creating-synthetic-datasets-via-evolution-for-neural-program-synthesis-2003.10485"/></url>
<url><loc>https://scifaro.com/en/abs/programl-graph-based-deep-learning-for-program-optimization-and-analysis-2003.10536</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/programl-graph-based-deep-learning-for-program-optimization-and-analysis-2003.10536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/programl-graph-based-deep-learning-for-program-optimization-and-analysis-2003.10536"/></url>
<url><loc>https://scifaro.com/en/abs/the-internet-of-things-as-a-deep-neural-network-2003.10538</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-internet-of-things-as-a-deep-neural-network-2003.10538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-internet-of-things-as-a-deep-neural-network-2003.10538"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-models-and-computational-tools-for-neurolinguistics-a-language-technology-perspective-2003.10540</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-models-and-computational-tools-for-neurolinguistics-a-language-technology-perspective-2003.10540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-models-and-computational-tools-for-neurolinguistics-a-language-technology-perspective-2003.10540"/></url>
<url><loc>https://scifaro.com/en/abs/regret-and-belief-complexity-trade-off-in-gaussian-process-bandits-via-information-thresholding-2003.10550</loc><lastmod>2022-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-and-belief-complexity-trade-off-in-gaussian-process-bandits-via-information-thresholding-2003.10550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-and-belief-complexity-trade-off-in-gaussian-process-bandits-via-information-thresholding-2003.10550"/></url>
<url><loc>https://scifaro.com/en/abs/g-net-a-deep-learning-approach-to-g-computation-for-counterfactual-outcome-prediction-under-dynamic-treatment-regimes-2003.10551</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/g-net-a-deep-learning-approach-to-g-computation-for-counterfactual-outcome-prediction-under-dynamic-treatment-regimes-2003.10551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/g-net-a-deep-learning-approach-to-g-computation-for-counterfactual-outcome-prediction-under-dynamic-treatment-regimes-2003.10551"/></url>
<url><loc>https://scifaro.com/en/abs/symmetry-critical-points-for-a-model-shallow-neural-network-2003.10576</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetry-critical-points-for-a-model-shallow-neural-network-2003.10576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetry-critical-points-for-a-model-shallow-neural-network-2003.10576"/></url>
<url><loc>https://scifaro.com/en/abs/learning-end-to-end-codes-for-the-bpsk-constrained-gaussian-wiretap-channel-2003.10577</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-end-to-end-codes-for-the-bpsk-constrained-gaussian-wiretap-channel-2003.10577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-end-to-end-codes-for-the-bpsk-constrained-gaussian-wiretap-channel-2003.10577"/></url>
<url><loc>https://scifaro.com/en/abs/meta-pseudo-labels-2003.10580</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-pseudo-labels-2003.10580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-pseudo-labels-2003.10580"/></url>
<url><loc>https://scifaro.com/en/abs/defense-through-diverse-directions-2003.10602</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defense-through-diverse-directions-2003.10602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defense-through-diverse-directions-2003.10602"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-graph-convolution-for-resting-state-fmri-analysis-2003.10613</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-graph-convolution-for-resting-state-fmri-analysis-2003.10613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-graph-convolution-for-resting-state-fmri-analysis-2003.10613"/></url>
<url><loc>https://scifaro.com/en/abs/a-pitfall-of-learning-from-user-generated-data-in-depth-analysis-of-subjective-class-problem-2003.10621</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pitfall-of-learning-from-user-generated-data-in-depth-analysis-of-subjective-class-problem-2003.10621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pitfall-of-learning-from-user-generated-data-in-depth-analysis-of-subjective-class-problem-2003.10621"/></url>
<url><loc>https://scifaro.com/en/abs/fedsel-federated-sgd-under-local-differential-privacy-with-top-k-dimension-selection-2003.10637</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedsel-federated-sgd-under-local-differential-privacy-with-top-k-dimension-selection-2003.10637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedsel-federated-sgd-under-local-differential-privacy-with-top-k-dimension-selection-2003.10637"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-on-the-fly-dataset-denoising-for-image-classification-2003.10647</loc><lastmod>2020-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-on-the-fly-dataset-denoising-for-image-classification-2003.10647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-on-the-fly-dataset-denoising-for-image-classification-2003.10647"/></url>
<url><loc>https://scifaro.com/en/abs/towards-safer-self-driving-through-great-pain-physically-adversarial-intelligent-networks-2003.10662</loc><lastmod>2023-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-safer-self-driving-through-great-pain-physically-adversarial-intelligent-networks-2003.10662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-safer-self-driving-through-great-pain-physically-adversarial-intelligent-networks-2003.10662"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-anomaly-detection-with-adversarial-mirrored-autoencoders-2003.10713</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-anomaly-detection-with-adversarial-mirrored-autoencoders-2003.10713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-anomaly-detection-with-adversarial-mirrored-autoencoders-2003.10713"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-adversarial-examples-in-learning-enabled-cyber-physical-systems-using-variational-autoencoder-for-regression-2003.10804</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-adversarial-examples-in-learning-enabled-cyber-physical-systems-using-variational-autoencoder-for-regression-2003.10804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-adversarial-examples-in-learning-enabled-cyber-physical-systems-using-variational-autoencoder-for-regression-2003.10804"/></url>
<url><loc>https://scifaro.com/en/abs/capturing-and-explaining-trajectory-singularities-using-composite-signal-neural-networks-2003.10810</loc><lastmod>2020-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capturing-and-explaining-trajectory-singularities-using-composite-signal-neural-networks-2003.10810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capturing-and-explaining-trajectory-singularities-using-composite-signal-neural-networks-2003.10810"/></url>
<url><loc>https://scifaro.com/en/abs/tree-index-a-new-cluster-evaluation-technique-2003.10841</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-index-a-new-cluster-evaluation-technique-2003.10841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-index-a-new-cluster-evaluation-technique-2003.10841"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-asynchronous-hyperparameter-and-neural-architecture-search-2003.10865</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-asynchronous-hyperparameter-and-neural-architecture-search-2003.10865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-asynchronous-hyperparameter-and-neural-architecture-search-2003.10865"/></url>
<url><loc>https://scifaro.com/en/abs/cost-aware-bayesian-optimization-2003.10870</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-aware-bayesian-optimization-2003.10870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-aware-bayesian-optimization-2003.10870"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-narrowing-of-vae-bottlenecks-using-geco-and-l0-regularization-2003.10901</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-narrowing-of-vae-bottlenecks-using-geco-and-l0-regularization-2003.10901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-narrowing-of-vae-bottlenecks-using-geco-and-l0-regularization-2003.10901"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-reinforcement-learning-with-ensembles-2003.10903</loc><lastmod>2020-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-reinforcement-learning-with-ensembles-2003.10903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-reinforcement-learning-with-ensembles-2003.10903"/></url>
<url><loc>https://scifaro.com/en/abs/learn-to-forget-machine-unlearning-via-neuron-masking-2003.10933</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-to-forget-machine-unlearning-via-neuron-masking-2003.10933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-to-forget-machine-unlearning-via-neuron-masking-2003.10933"/></url>
<url><loc>https://scifaro.com/en/abs/a-model-free-sampling-method-for-estimating-basins-of-attraction-using-hybrid-active-learning-hal-2003.10976</loc><lastmod>2022-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-model-free-sampling-method-for-estimating-basins-of-attraction-using-hybrid-active-learning-hal-2003.10976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-model-free-sampling-method-for-estimating-basins-of-attraction-using-hybrid-active-learning-hal-2003.10976"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-classification-and-reasoning-for-image-based-constraint-solving-2003.11001</loc><lastmod>2020-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-classification-and-reasoning-for-image-based-constraint-solving-2003.11001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-classification-and-reasoning-for-image-based-constraint-solving-2003.11001"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-physiological-time-series-and-clinical-notes-with-deep-learning-for-improved-icu-mortality-prediction-2003.11059</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-physiological-time-series-and-clinical-notes-with-deep-learning-for-improved-icu-mortality-prediction-2003.11059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-physiological-time-series-and-clinical-notes-with-deep-learning-for-improved-icu-mortality-prediction-2003.11059"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-user-s-preference-into-attributed-graph-clustering-2003.11079</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-user-s-preference-into-attributed-graph-clustering-2003.11079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-user-s-preference-into-attributed-graph-clustering-2003.11079"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-play-soccer-by-reinforcement-and-applying-sim-to-real-to-compete-in-the-real-world-2003.11102</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-play-soccer-by-reinforcement-and-applying-sim-to-real-to-compete-in-the-real-world-2003.11102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-play-soccer-by-reinforcement-and-applying-sim-to-real-to-compete-in-the-real-world-2003.11102"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-off-policy-estimation-for-infinite-horizon-reinforcement-learning-2003.11126</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-off-policy-estimation-for-infinite-horizon-reinforcement-learning-2003.11126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-off-policy-estimation-for-infinite-horizon-reinforcement-learning-2003.11126"/></url>
<url><loc>https://scifaro.com/en/abs/born-again-tree-ensembles-2003.11132</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/born-again-tree-ensembles-2003.11132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/born-again-tree-ensembles-2003.11132"/></url>
<url><loc>https://scifaro.com/en/abs/fiber-a-platform-for-efficient-development-and-distributed-training-for-reinforcement-learning-and-population-based-methods-2003.11164</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fiber-a-platform-for-efficient-development-and-distributed-training-for-reinforcement-learning-and-population-based-methods-2003.11164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fiber-a-platform-for-efficient-development-and-distributed-training-for-reinforcement-learning-and-population-based-methods-2003.11164"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-multiclass-and-multilabel-support-vector-machines-2003.11197</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-multiclass-and-multilabel-support-vector-machines-2003.11197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-multiclass-and-multilabel-support-vector-machines-2003.11197"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-canonical-correlation-analysis-a-subspace-intersection-approach-2003.11205</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-canonical-correlation-analysis-a-subspace-intersection-approach-2003.11205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-canonical-correlation-analysis-a-subspace-intersection-approach-2003.11205"/></url>
<url><loc>https://scifaro.com/en/abs/logarithmic-regret-bound-in-partially-observable-linear-dynamical-systems-2003.11227</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logarithmic-regret-bound-in-partially-observable-linear-dynamical-systems-2003.11227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logarithmic-regret-bound-in-partially-observable-linear-dynamical-systems-2003.11227"/></url>
<url><loc>https://scifaro.com/en/abs/autofis-automatic-feature-interaction-selection-in-factorization-models-for-click-through-rate-prediction-2003.11235</loc><lastmod>2020-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autofis-automatic-feature-interaction-selection-in-factorization-models-for-click-through-rate-prediction-2003.11235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autofis-automatic-feature-interaction-selection-in-factorization-models-for-click-through-rate-prediction-2003.11235"/></url>
<url><loc>https://scifaro.com/en/abs/safety-aware-hardening-of-3d-object-detection-neural-network-systems-2003.11242</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safety-aware-hardening-of-3d-object-detection-neural-network-systems-2003.11242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safety-aware-hardening-of-3d-object-detection-neural-network-systems-2003.11242"/></url>
<url><loc>https://scifaro.com/en/abs/volumization-as-a-natural-generalization-of-weight-decay-2003.11243</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/volumization-as-a-natural-generalization-of-weight-decay-2003.11243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/volumization-as-a-natural-generalization-of-weight-decay-2003.11243"/></url>
<url><loc>https://scifaro.com/en/abs/fastdtw-is-approximate-and-generally-slower-than-the-algorithm-it-approximates-2003.11246</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fastdtw-is-approximate-and-generally-slower-than-the-algorithm-it-approximates-2003.11246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fastdtw-is-approximate-and-generally-slower-than-the-algorithm-it-approximates-2003.11246"/></url>
<url><loc>https://scifaro.com/en/abs/vab-al-incorporating-class-imbalance-and-difficulty-with-variational-bayes-for-active-learning-2003.11249</loc><lastmod>2020-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vab-al-incorporating-class-imbalance-and-difficulty-with-variational-bayes-for-active-learning-2003.11249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vab-al-incorporating-class-imbalance-and-difficulty-with-variational-bayes-for-active-learning-2003.11249"/></url>
<url><loc>https://scifaro.com/en/abs/essop-efficient-and-scalable-stochastic-outer-product-architecture-for-deep-learning-2003.11256</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/essop-efficient-and-scalable-stochastic-outer-product-architecture-for-deep-learning-2003.11256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/essop-efficient-and-scalable-stochastic-outer-product-architecture-for-deep-learning-2003.11256"/></url>
<url><loc>https://scifaro.com/en/abs/auto-ensemble-an-adaptive-learning-rate-scheduling-based-deep-learning-model-ensembling-2003.11266</loc><lastmod>2020-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-ensemble-an-adaptive-learning-rate-scheduling-based-deep-learning-model-ensembling-2003.11266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-ensemble-an-adaptive-learning-rate-scheduling-based-deep-learning-model-ensembling-2003.11266"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-business-process-monitoring-via-generative-adversarial-nets-the-case-of-next-event-prediction-2003.11268</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-business-process-monitoring-via-generative-adversarial-nets-the-case-of-next-event-prediction-2003.11268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-business-process-monitoring-via-generative-adversarial-nets-the-case-of-next-event-prediction-2003.11268"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-ridge-regression-for-high-dimensional-data-classification-2003.11283</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-ridge-regression-for-high-dimensional-data-classification-2003.11283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-ridge-regression-for-high-dimensional-data-classification-2003.11283"/></url>
<url><loc>https://scifaro.com/en/abs/mim-based-gan-information-metric-to-amplify-small-probability-events-importance-in-generative-adversarial-networks-2003.11285</loc><lastmod>2021-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mim-based-gan-information-metric-to-amplify-small-probability-events-importance-in-generative-adversarial-networks-2003.11285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mim-based-gan-information-metric-to-amplify-small-probability-events-importance-in-generative-adversarial-networks-2003.11285"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-effects-of-data-parallelism-and-sparsity-on-neural-network-training-2003.11316</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-effects-of-data-parallelism-and-sparsity-on-neural-network-training-2003.11316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-effects-of-data-parallelism-and-sparsity-on-neural-network-training-2003.11316"/></url>
<url><loc>https://scifaro.com/en/abs/plausible-counterfactuals-auditing-deep-learning-classifiers-with-realistic-adversarial-examples-2003.11323</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plausible-counterfactuals-auditing-deep-learning-classifiers-with-realistic-adversarial-examples-2003.11323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plausible-counterfactuals-auditing-deep-learning-classifiers-with-realistic-adversarial-examples-2003.11323"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-learning-algorithms-of-general-fuzzy-min-max-neural-network-using-a-novel-hyperbox-selection-rule-2003.11333</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-learning-algorithms-of-general-fuzzy-min-max-neural-network-using-a-novel-hyperbox-selection-rule-2003.11333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-learning-algorithms-of-general-fuzzy-min-max-neural-network-using-a-novel-hyperbox-selection-rule-2003.11333"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-viewer-identification-using-generative-models-of-eye-gaze-2003.11399</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-viewer-identification-using-generative-models-of-eye-gaze-2003.11399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-viewer-identification-using-generative-models-of-eye-gaze-2003.11399"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-recursive-stochastic-algorithms-using-wasserstein-divergence-2003.11403</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-recursive-stochastic-algorithms-using-wasserstein-divergence-2003.11403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-recursive-stochastic-algorithms-using-wasserstein-divergence-2003.11403"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-sparsification-methods-for-deep-complex-valued-networks-2003.11413</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-sparsification-methods-for-deep-complex-valued-networks-2003.11413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-sparsification-methods-for-deep-complex-valued-networks-2003.11413"/></url>
<url><loc>https://scifaro.com/en/abs/preferential-batch-bayesian-optimization-2003.11435</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preferential-batch-bayesian-optimization-2003.11435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preferential-batch-bayesian-optimization-2003.11435"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-variational-gaussian-process-regression-networks-2003.11489</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-variational-gaussian-process-regression-networks-2003.11489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-variational-gaussian-process-regression-networks-2003.11489"/></url>
<url><loc>https://scifaro.com/en/abs/a-multivariate-water-quality-parameter-prediction-model-using-recurrent-neural-network-2003.11492</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multivariate-water-quality-parameter-prediction-model-using-recurrent-neural-network-2003.11492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multivariate-water-quality-parameter-prediction-model-using-recurrent-neural-network-2003.11492"/></url>
<url><loc>https://scifaro.com/en/abs/similarity-of-neural-networks-with-gradients-2003.11498</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/similarity-of-neural-networks-with-gradients-2003.11498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/similarity-of-neural-networks-with-gradients-2003.11498"/></url>
<url><loc>https://scifaro.com/en/abs/not-all-domains-are-equally-complex-adaptive-multi-domain-learning-2003.11504</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/not-all-domains-are-equally-complex-adaptive-multi-domain-learning-2003.11504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/not-all-domains-are-equally-complex-adaptive-multi-domain-learning-2003.11504"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-analysis-of-the-data-selective-volterra-nlms-algorithm-2003.11514</loc><lastmod>2020-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-analysis-of-the-data-selective-volterra-nlms-algorithm-2003.11514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-analysis-of-the-data-selective-volterra-nlms-algorithm-2003.11514"/></url>
<url><loc>https://scifaro.com/en/abs/interval-neural-networks-uncertainty-scores-2003.11566</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interval-neural-networks-uncertainty-scores-2003.11566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interval-neural-networks-uncertainty-scores-2003.11566"/></url>
<url><loc>https://scifaro.com/en/abs/solving-raven-s-progressive-matrices-with-multi-layer-relation-networks-2003.11608</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-raven-s-progressive-matrices-with-multi-layer-relation-networks-2003.11608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-raven-s-progressive-matrices-with-multi-layer-relation-networks-2003.11608"/></url>
<url><loc>https://scifaro.com/en/abs/deep-networks-as-logical-circuits-generalization-and-interpretation-2003.11619</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-networks-as-logical-circuits-generalization-and-interpretation-2003.11619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-networks-as-logical-circuits-generalization-and-interpretation-2003.11619"/></url>
<url><loc>https://scifaro.com/en/abs/relatif-identifying-explanatory-training-examples-via-relative-influence-2003.11630</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relatif-identifying-explanatory-training-examples-via-relative-influence-2003.11630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relatif-identifying-explanatory-training-examples-via-relative-influence-2003.11630"/></url>
<url><loc>https://scifaro.com/en/abs/itaml-an-incremental-task-agnostic-meta-learning-approach-2003.11652</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/itaml-an-incremental-task-agnostic-meta-learning-approach-2003.11652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/itaml-an-incremental-task-agnostic-meta-learning-approach-2003.11652"/></url>
<url><loc>https://scifaro.com/en/abs/deep-graph-matching-via-blackbox-differentiation-of-combinatorial-solvers-2003.11657</loc><lastmod>2024-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-graph-matching-via-blackbox-differentiation-of-combinatorial-solvers-2003.11657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-graph-matching-via-blackbox-differentiation-of-combinatorial-solvers-2003.11657"/></url>
<url><loc>https://scifaro.com/en/abs/r-force-robust-learning-for-random-recurrent-neural-networks-2003.11660</loc><lastmod>2025-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/r-force-robust-learning-for-random-recurrent-neural-networks-2003.11660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/r-force-robust-learning-for-random-recurrent-neural-networks-2003.11660"/></url>
<url><loc>https://scifaro.com/en/abs/pipelined-backpropagation-at-scale-training-large-models-without-batches-2003.11666</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pipelined-backpropagation-at-scale-training-large-models-without-batches-2003.11666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pipelined-backpropagation-at-scale-training-large-models-without-batches-2003.11666"/></url>
<url><loc>https://scifaro.com/en/abs/cazsl-zero-shot-regression-for-pushing-models-by-generalizing-through-context-2003.11696</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cazsl-zero-shot-regression-for-pushing-models-by-generalizing-through-context-2003.11696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cazsl-zero-shot-regression-for-pushing-models-by-generalizing-through-context-2003.11696"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-the-gap-between-spectral-and-spatial-domains-in-graph-neural-networks-2003.11702</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-the-gap-between-spectral-and-spatial-domains-in-graph-neural-networks-2003.11702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-the-gap-between-spectral-and-spatial-domains-in-graph-neural-networks-2003.11702"/></url>
<url><loc>https://scifaro.com/en/abs/learning-transferable-and-discriminative-features-for-unsupervised-domain-adaptation-2003.11723</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-transferable-and-discriminative-features-for-unsupervised-domain-adaptation-2003.11723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-transferable-and-discriminative-features-for-unsupervised-domain-adaptation-2003.11723"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-deep-learning-for-scientific-discovery-2003.11755</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-deep-learning-for-scientific-discovery-2003.11755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-deep-learning-for-scientific-discovery-2003.11755"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-fly-adaptation-of-source-code-models-using-meta-learning-2003.11768</loc><lastmod>2023-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-fly-adaptation-of-source-code-models-using-meta-learning-2003.11768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-fly-adaptation-of-source-code-models-using-meta-learning-2003.11768"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-informativeness-representativeness-and-diversity-in-pool-based-sequential-active-learning-for-regression-2003.11786</loc><lastmod>2022-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-informativeness-representativeness-and-diversity-in-pool-based-sequential-active-learning-for-regression-2003.11786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-informativeness-representativeness-and-diversity-in-pool-based-sequential-active-learning-for-regression-2003.11786"/></url>
<url><loc>https://scifaro.com/en/abs/fashion-landmark-detection-and-category-classification-for-robotics-2003.11827</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fashion-landmark-detection-and-category-classification-for-robotics-2003.11827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fashion-landmark-detection-and-category-classification-for-robotics-2003.11827"/></url>
<url><loc>https://scifaro.com/en/abs/a-lower-bound-for-the-elbo-of-the-bernoulli-variational-autoencoder-2003.11830</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-lower-bound-for-the-elbo-of-the-bernoulli-variational-autoencoder-2003.11830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-lower-bound-for-the-elbo-of-the-bernoulli-variational-autoencoder-2003.11830"/></url>
<url><loc>https://scifaro.com/en/abs/robust-classification-of-high-dimensional-spectroscopy-data-using-deep-learning-and-data-synthesis-2003.11842</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-classification-of-high-dimensional-spectroscopy-data-using-deep-learning-and-data-synthesis-2003.11842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-classification-of-high-dimensional-spectroscopy-data-using-deep-learning-and-data-synthesis-2003.11842"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-investigation-of-the-challenges-of-real-world-reinforcement-learning-2003.11881</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-investigation-of-the-challenges-of-real-world-reinforcement-learning-2003.11881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-investigation-of-the-challenges-of-real-world-reinforcement-learning-2003.11881"/></url>
<url><loc>https://scifaro.com/en/abs/robrose-a-robust-approach-for-dealing-with-imbalanced-data-in-fraud-detection-2003.11915</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robrose-a-robust-approach-for-dealing-with-imbalanced-data-in-fraud-detection-2003.11915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robrose-a-robust-approach-for-dealing-with-imbalanced-data-in-fraud-detection-2003.11915"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-and-the-deeper-riddle-of-induction-the-need-for-a-theory-of-artifacts-in-deep-learning-2003.11917</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-and-the-deeper-riddle-of-induction-the-need-for-a-theory-of-artifacts-in-deep-learning-2003.11917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-and-the-deeper-riddle-of-induction-the-need-for-a-theory-of-artifacts-in-deep-learning-2003.11917"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-policy-evaluation-for-decision-making-in-autonomous-driving-2003.11919</loc><lastmod>2020-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-policy-evaluation-for-decision-making-in-autonomous-driving-2003.11919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-policy-evaluation-for-decision-making-in-autonomous-driving-2003.11919"/></url>
<url><loc>https://scifaro.com/en/abs/triad-state-space-construction-for-chaotic-signal-classification-with-deep-learning-2003.11931</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/triad-state-space-construction-for-chaotic-signal-classification-with-deep-learning-2003.11931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/triad-state-space-construction-for-chaotic-signal-classification-with-deep-learning-2003.11931"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-for-causal-classification-2003.11940</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-for-causal-classification-2003.11940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-for-causal-classification-2003.11940"/></url>
<url><loc>https://scifaro.com/en/abs/aliexpress-learning-to-rank-maximizing-online-model-performance-without-going-online-2003.11941</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aliexpress-learning-to-rank-maximizing-online-model-performance-without-going-online-2003.11941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aliexpress-learning-to-rank-maximizing-online-model-performance-without-going-online-2003.11941"/></url>
<url><loc>https://scifaro.com/en/abs/bag-of-biterms-modeling-for-short-texts-2003.11948</loc><lastmod>2020-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bag-of-biterms-modeling-for-short-texts-2003.11948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bag-of-biterms-modeling-for-short-texts-2003.11948"/></url>
<url><loc>https://scifaro.com/en/abs/strokecoder-path-based-image-generation-from-single-examples-using-transformers-2003.11958</loc><lastmod>2020-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strokecoder-path-based-image-generation-from-single-examples-using-transformers-2003.11958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strokecoder-path-based-image-generation-from-single-examples-using-transformers-2003.11958"/></url>
<url><loc>https://scifaro.com/en/abs/a-separation-result-between-data-oblivious-and-data-aware-poisoning-attacks-2003.12020</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-separation-result-between-data-oblivious-and-data-aware-poisoning-attacks-2003.12020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-separation-result-between-data-oblivious-and-data-aware-poisoning-attacks-2003.12020"/></url>
<url><loc>https://scifaro.com/en/abs/metnet-a-neural-weather-model-for-precipitation-forecasting-2003.12140</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metnet-a-neural-weather-model-for-precipitation-forecasting-2003.12140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metnet-a-neural-weather-model-for-precipitation-forecasting-2003.12140"/></url>
<url><loc>https://scifaro.com/en/abs/not-all-features-are-equal-discovering-essential-features-for-preserving-prediction-privacy-2003.12154</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/not-all-features-are-equal-discovering-essential-features-for-preserving-prediction-privacy-2003.12154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/not-all-features-are-equal-discovering-essential-features-for-preserving-prediction-privacy-2003.12154"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-solve-differential-equations-across-initial-conditions-2003.12159</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-solve-differential-equations-across-initial-conditions-2003.12159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-solve-differential-equations-across-initial-conditions-2003.12159"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-and-few-shot-time-series-forecasting-with-ordinal-regression-recurrent-neural-networks-2003.12162</loc><lastmod>2020-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-and-few-shot-time-series-forecasting-with-ordinal-regression-recurrent-neural-networks-2003.12162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-and-few-shot-time-series-forecasting-with-ordinal-regression-recurrent-neural-networks-2003.12162"/></url>
<url><loc>https://scifaro.com/en/abs/a-collective-learning-framework-to-boost-gnn-expressiveness-2003.12169</loc><lastmod>2020-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-collective-learning-framework-to-boost-gnn-expressiveness-2003.12169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-collective-learning-framework-to-boost-gnn-expressiveness-2003.12169"/></url>
<url><loc>https://scifaro.com/en/abs/log-likelihood-ratio-minimizing-flows-towards-robust-and-quantifiable-neural-distribution-alignment-2003.12170</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/log-likelihood-ratio-minimizing-flows-towards-robust-and-quantifiable-neural-distribution-alignment-2003.12170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/log-likelihood-ratio-minimizing-flows-towards-robust-and-quantifiable-neural-distribution-alignment-2003.12170"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-learning-algorithm-for-sound-event-detection-2003.12175</loc><lastmod>2020-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-learning-algorithm-for-sound-event-detection-2003.12175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-learning-algorithm-for-sound-event-detection-2003.12175"/></url>
<url><loc>https://scifaro.com/en/abs/on-infinite-width-hypernetworks-2003.12193</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-infinite-width-hypernetworks-2003.12193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-infinite-width-hypernetworks-2003.12193"/></url>
<url><loc>https://scifaro.com/en/abs/spatiotemporal-adaptive-neural-network-for-long-term-forecasting-of-financial-time-series-2003.12194</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatiotemporal-adaptive-neural-network-for-long-term-forecasting-of-financial-time-series-2003.12194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatiotemporal-adaptive-neural-network-for-long-term-forecasting-of-financial-time-series-2003.12194"/></url>
<url><loc>https://scifaro.com/en/abs/airrl-a-reinforcement-learning-approach-to-urban-air-quality-inference-2003.12205</loc><lastmod>2020-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/airrl-a-reinforcement-learning-approach-to-urban-air-quality-inference-2003.12205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/airrl-a-reinforcement-learning-approach-to-urban-air-quality-inference-2003.12205"/></url>
<url><loc>https://scifaro.com/en/abs/improving-reproducibility-in-machine-learning-research-a-report-from-the-neurips-2019-reproducibility-program-2003.12206</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-reproducibility-in-machine-learning-research-a-report-from-the-neurips-2019-reproducibility-program-2003.12206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-reproducibility-in-machine-learning-research-a-report-from-the-neurips-2019-reproducibility-program-2003.12206"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-kernel-ridge-regression-with-communications-2003.12210</loc><lastmod>2020-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-kernel-ridge-regression-with-communications-2003.12210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-kernel-ridge-regression-with-communications-2003.12210"/></url>
<url><loc>https://scifaro.com/en/abs/piecewise-linear-activations-substantially-shape-the-loss-surfaces-of-neural-networks-2003.12236</loc><lastmod>2020-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/piecewise-linear-activations-substantially-shape-the-loss-surfaces-of-neural-networks-2003.12236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/piecewise-linear-activations-substantially-shape-the-loss-surfaces-of-neural-networks-2003.12236"/></url>
<url><loc>https://scifaro.com/en/abs/milenas-efficient-neural-architecture-search-via-mixed-level-reformulation-2003.12238</loc><lastmod>2020-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/milenas-efficient-neural-architecture-search-via-mixed-level-reformulation-2003.12238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/milenas-efficient-neural-architecture-search-via-mixed-level-reformulation-2003.12238"/></url>
<url><loc>https://scifaro.com/en/abs/a-distributional-analysis-of-sampling-based-reinforcement-learning-algorithms-2003.12239</loc><lastmod>2020-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributional-analysis-of-sampling-based-reinforcement-learning-algorithms-2003.12239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributional-analysis-of-sampling-based-reinforcement-learning-algorithms-2003.12239"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-expert-prior-in-bayesian-optimisation-via-space-warping-2003.12250</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-expert-prior-in-bayesian-optimisation-via-space-warping-2003.12250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-expert-prior-in-bayesian-optimisation-via-space-warping-2003.12250"/></url>
<url><loc>https://scifaro.com/en/abs/a-light-neural-network-for-modulation-detection-under-impairments-2003.12260</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-light-neural-network-for-modulation-detection-under-impairments-2003.12260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-light-neural-network-for-modulation-detection-under-impairments-2003.12260"/></url>
<url><loc>https://scifaro.com/en/abs/progressive-graph-convolutional-networks-for-semi-supervised-node-classification-2003.12277</loc><lastmod>2021-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progressive-graph-convolutional-networks-for-semi-supervised-node-classification-2003.12277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progressive-graph-convolutional-networks-for-semi-supervised-node-classification-2003.12277"/></url>
<url><loc>https://scifaro.com/en/abs/limp-learning-latent-shape-representations-with-metric-preservation-priors-2003.12283</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limp-learning-latent-shape-representations-with-metric-preservation-priors-2003.12283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limp-learning-latent-shape-representations-with-metric-preservation-priors-2003.12283"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-of-genomic-classifiers-for-clinical-deployment-evaluation-of-bayesian-optimization-to-select-predictive-models-of-acute-infection-and-in-hospital-mortality-2003.12310</loc><lastmod>2020-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-of-genomic-classifiers-for-clinical-deployment-evaluation-of-bayesian-optimization-to-select-predictive-models-of-acute-infection-and-in-hospital-mortality-2003.12310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-of-genomic-classifiers-for-clinical-deployment-evaluation-of-bayesian-optimization-to-select-predictive-models-of-acute-infection-and-in-hospital-mortality-2003.12310"/></url>
<url><loc>https://scifaro.com/en/abs/a-copula-based-visualization-technique-for-a-neural-network-2003.12317</loc><lastmod>2020-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-copula-based-visualization-technique-for-a-neural-network-2003.12317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-copula-based-visualization-technique-for-a-neural-network-2003.12317"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-gene-selection-algorithm-using-fuzzy-rough-set-theory-for-tumor-classification-2003.12386</loc><lastmod>2020-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-gene-selection-algorithm-using-fuzzy-rough-set-theory-for-tumor-classification-2003.12386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-gene-selection-algorithm-using-fuzzy-rough-set-theory-for-tumor-classification-2003.12386"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-in-bayesian-confidence-propagation-neural-networks-2003.12415</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-in-bayesian-confidence-propagation-neural-networks-2003.12415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-in-bayesian-confidence-propagation-neural-networks-2003.12415"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-order-distributed-sgd-method-for-non-convex-optimization-to-balance-communication-overhead-computational-complexity-and-convergence-rate-2003.12423</loc><lastmod>2020-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-order-distributed-sgd-method-for-non-convex-optimization-to-balance-communication-overhead-computational-complexity-and-convergence-rate-2003.12423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-order-distributed-sgd-method-for-non-convex-optimization-to-balance-communication-overhead-computational-complexity-and-convergence-rate-2003.12423"/></url>
<url><loc>https://scifaro.com/en/abs/on-a-minimum-enclosing-ball-of-a-collection-of-linear-subspaces-2003.12455</loc><lastmod>2020-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-a-minimum-enclosing-ball-of-a-collection-of-linear-subspaces-2003.12455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-a-minimum-enclosing-ball-of-a-collection-of-linear-subspaces-2003.12455"/></url>
<url><loc>https://scifaro.com/en/abs/abba-adaptive-brownian-bridge-based-symbolic-aggregation-of-time-series-2003.12469</loc><lastmod>2020-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abba-adaptive-brownian-bridge-based-symbolic-aggregation-of-time-series-2003.12469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abba-adaptive-brownian-bridge-based-symbolic-aggregation-of-time-series-2003.12469"/></url>
<url><loc>https://scifaro.com/en/abs/generation-of-consistent-sets-of-multi-label-classification-rules-with-a-multi-objective-evolutionary-algorithm-2003.12526</loc><lastmod>2020-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generation-of-consistent-sets-of-multi-label-classification-rules-with-a-multi-objective-evolutionary-algorithm-2003.12526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generation-of-consistent-sets-of-multi-label-classification-rules-with-a-multi-objective-evolutionary-algorithm-2003.12526"/></url>
<url><loc>https://scifaro.com/en/abs/unpacking-information-bottlenecks-unifying-information-theoretic-objectives-in-deep-learning-2003.12537</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unpacking-information-bottlenecks-unifying-information-theoretic-objectives-in-deep-learning-2003.12537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unpacking-information-bottlenecks-unifying-information-theoretic-objectives-in-deep-learning-2003.12537"/></url>
<url><loc>https://scifaro.com/en/abs/word2vec-node2vec-graph2vec-x2vec-towards-a-theory-of-vector-embeddings-of-structured-data-2003.12590</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/word2vec-node2vec-graph2vec-x2vec-towards-a-theory-of-vector-embeddings-of-structured-data-2003.12590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/word2vec-node2vec-graph2vec-x2vec-towards-a-theory-of-vector-embeddings-of-structured-data-2003.12590"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-reward-poisoning-attacks-against-reinforcement-learning-2003.12613</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-reward-poisoning-attacks-against-reinforcement-learning-2003.12613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-reward-poisoning-attacks-against-reinforcement-learning-2003.12613"/></url>
<url><loc>https://scifaro.com/en/abs/mcflow-monte-carlo-flow-models-for-data-imputation-2003.12628</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcflow-monte-carlo-flow-models-for-data-imputation-2003.12628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcflow-monte-carlo-flow-models-for-data-imputation-2003.12628"/></url>
<url><loc>https://scifaro.com/en/abs/the-impossibility-of-low-rank-representations-for-triangle-rich-complex-networks-2003.12635</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-impossibility-of-low-rank-representations-for-triangle-rich-complex-networks-2003.12635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-impossibility-of-low-rank-representations-for-triangle-rich-complex-networks-2003.12635"/></url>
<url><loc>https://scifaro.com/en/abs/bypassing-the-monster-a-faster-and-simpler-optimal-algorithm-for-contextual-bandits-under-realizability-2003.12699</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bypassing-the-monster-a-faster-and-simpler-optimal-algorithm-for-contextual-bandits-under-realizability-2003.12699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bypassing-the-monster-a-faster-and-simpler-optimal-algorithm-for-contextual-bandits-under-realizability-2003.12699"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-federated-learning-for-resource-constrained-internet-of-things-2003.12705</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-federated-learning-for-resource-constrained-internet-of-things-2003.12705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-federated-learning-for-resource-constrained-internet-of-things-2003.12705"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-popularity-of-micro-videos-with-multimodal-variational-encoder-decoder-framework-2003.12724</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-popularity-of-micro-videos-with-multimodal-variational-encoder-decoder-framework-2003.12724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-popularity-of-micro-videos-with-multimodal-variational-encoder-decoder-framework-2003.12724"/></url>
<url><loc>https://scifaro.com/en/abs/a-graph-to-graphs-framework-for-retrosynthesis-prediction-2003.12725</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-graph-to-graphs-framework-for-retrosynthesis-prediction-2003.12725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-graph-to-graphs-framework-for-retrosynthesis-prediction-2003.12725"/></url>
<url><loc>https://scifaro.com/en/abs/semi-federated-learning-2003.12795</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-federated-learning-2003.12795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-federated-learning-2003.12795"/></url>
<url><loc>https://scifaro.com/en/abs/correlated-daily-time-series-and-forecasting-in-the-m4-competition-2003.12796</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlated-daily-time-series-and-forecasting-in-the-m4-competition-2003.12796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlated-daily-time-series-and-forecasting-in-the-m4-competition-2003.12796"/></url>
<url><loc>https://scifaro.com/en/abs/towards-automating-the-ai-operations-lifecycle-2003.12808</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-automating-the-ai-operations-lifecycle-2003.12808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-automating-the-ai-operations-lifecycle-2003.12808"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-domain-generalization-via-common-specific-low-rank-decomposition-2003.12815</loc><lastmod>2020-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-domain-generalization-via-common-specific-low-rank-decomposition-2003.12815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-domain-generalization-via-common-specific-low-rank-decomposition-2003.12815"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-data-augmentation-for-semi-supervised-learning-2003.12824</loc><lastmod>2020-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-data-augmentation-for-semi-supervised-learning-2003.12824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-data-augmentation-for-semi-supervised-learning-2003.12824"/></url>
<url><loc>https://scifaro.com/en/abs/a-close-look-at-deep-learning-with-small-data-2003.12843</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-close-look-at-deep-learning-with-small-data-2003.12843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-close-look-at-deep-learning-with-small-data-2003.12843"/></url>
<url><loc>https://scifaro.com/en/abs/npenas-neural-predictor-guided-evolution-for-neural-architecture-search-2003.12857</loc><lastmod>2020-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/npenas-neural-predictor-guided-evolution-for-neural-architecture-search-2003.12857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/npenas-neural-predictor-guided-evolution-for-neural-architecture-search-2003.12857"/></url>
<url><loc>https://scifaro.com/en/abs/federated-residual-learning-2003.12880</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-residual-learning-2003.12880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-residual-learning-2003.12880"/></url>
<url><loc>https://scifaro.com/en/abs/memorizing-gaussians-with-no-over-parameterizaion-via-gradient-decent-on-neural-networks-2003.12895</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memorizing-gaussians-with-no-over-parameterizaion-via-gradient-decent-on-neural-networks-2003.12895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memorizing-gaussians-with-no-over-parameterizaion-via-gradient-decent-on-neural-networks-2003.12895"/></url>
<url><loc>https://scifaro.com/en/abs/coping-with-simulators-that-don-t-always-return-2003.12908</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coping-with-simulators-that-don-t-always-return-2003.12908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coping-with-simulators-that-don-t-always-return-2003.12908"/></url>
<url><loc>https://scifaro.com/en/abs/policy-teaching-via-environment-poisoning-training-time-adversarial-attacks-against-reinforcement-learning-2003.12909</loc><lastmod>2020-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-teaching-via-environment-poisoning-training-time-adversarial-attacks-against-reinforcement-learning-2003.12909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-teaching-via-environment-poisoning-training-time-adversarial-attacks-against-reinforcement-learning-2003.12909"/></url>
<url><loc>https://scifaro.com/en/abs/mutual-learning-network-for-multi-source-domain-adaptation-2003.12944</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mutual-learning-network-for-multi-source-domain-adaptation-2003.12944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mutual-learning-network-for-multi-source-domain-adaptation-2003.12944"/></url>
<url><loc>https://scifaro.com/en/abs/when-autonomous-systems-meet-accuracy-and-transferability-through-ai-a-survey-2003.12948</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-autonomous-systems-meet-accuracy-and-transferability-through-ai-a-survey-2003.12948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-autonomous-systems-meet-accuracy-and-transferability-through-ai-a-survey-2003.12948"/></url>
<url><loc>https://scifaro.com/en/abs/a-decentralized-policy-with-logarithmic-regret-for-a-class-of-multi-agent-multi-armed-bandit-problems-with-option-unavailability-constraints-and-stochastic-communication-protocols-2003.12968</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-decentralized-policy-with-logarithmic-regret-for-a-class-of-multi-agent-multi-armed-bandit-problems-with-option-unavailability-constraints-and-stochastic-communication-protocols-2003.12968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-decentralized-policy-with-logarithmic-regret-for-a-class-of-multi-agent-multi-armed-bandit-problems-with-option-unavailability-constraints-and-stochastic-communication-protocols-2003.12968"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-testing-variable-partitions-2003.12990</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-testing-variable-partitions-2003.12990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-testing-variable-partitions-2003.12990"/></url>
<url><loc>https://scifaro.com/en/abs/supernet-an-efficient-method-of-neural-networks-ensembling-2003.13021</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supernet-an-efficient-method-of-neural-networks-ensembling-2003.13021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supernet-an-efficient-method-of-neural-networks-ensembling-2003.13021"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-neural-feature-design-for-layer-wise-reduction-of-training-cost-2003.13058</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-neural-feature-design-for-layer-wise-reduction-of-training-cost-2003.13058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-neural-feature-design-for-layer-wise-reduction-of-training-cost-2003.13058"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-transfer-machine-learning-in-networks-measuring-the-impact-of-data-and-neural-net-similarity-on-transferability-2003.13070</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-transfer-machine-learning-in-networks-measuring-the-impact-of-data-and-neural-net-similarity-on-transferability-2003.13070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-transfer-machine-learning-in-networks-measuring-the-impact-of-data-and-neural-net-similarity-on-transferability-2003.13070"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-method-of-extracting-topological-features-from-word-embeddings-2003.13074</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-method-of-extracting-topological-features-from-word-embeddings-2003.13074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-method-of-extracting-topological-features-from-word-embeddings-2003.13074"/></url>
<url><loc>https://scifaro.com/en/abs/are-direct-links-necessary-in-rvfl-nns-for-regression-2003.13090</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-direct-links-necessary-in-rvfl-nns-for-regression-2003.13090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-direct-links-necessary-in-rvfl-nns-for-regression-2003.13090"/></url>
<url><loc>https://scifaro.com/en/abs/proximity-based-active-learning-on-streaming-data-a-personalized-eating-moment-recognition-2003.13098</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximity-based-active-learning-on-streaming-data-a-personalized-eating-moment-recognition-2003.13098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximity-based-active-learning-on-streaming-data-a-personalized-eating-moment-recognition-2003.13098"/></url>
<url><loc>https://scifaro.com/en/abs/learning-latent-causal-structures-with-a-redundant-input-neural-network-2003.13135</loc><lastmod>2020-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-latent-causal-structures-with-a-redundant-input-neural-network-2003.13135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-latent-causal-structures-with-a-redundant-input-neural-network-2003.13135"/></url>
<url><loc>https://scifaro.com/en/abs/topological-data-analysis-in-text-classification-extracting-features-with-additive-information-2003.13138</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-data-analysis-in-text-classification-extracting-features-with-additive-information-2003.13138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-data-analysis-in-text-classification-extracting-features-with-additive-information-2003.13138"/></url>
<url><loc>https://scifaro.com/en/abs/can-ai-help-in-screening-viral-and-covid-19-pneumonia-2003.13145</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-ai-help-in-screening-viral-and-covid-19-pneumonia-2003.13145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-ai-help-in-screening-viral-and-covid-19-pneumonia-2003.13145"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-network-representation-learning-via-historical-neighborhoods-aggregation-2003.13212</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-network-representation-learning-via-historical-neighborhoods-aggregation-2003.13212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-network-representation-learning-via-historical-neighborhoods-aggregation-2003.13212"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-incremental-clustering-technique-with-concept-drift-detection-2003.13225</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-incremental-clustering-technique-with-concept-drift-detection-2003.13225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-incremental-clustering-technique-with-concept-drift-detection-2003.13225"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-analysis-of-massive-data-2003.13226</loc><lastmod>2020-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-analysis-of-massive-data-2003.13226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-analysis-of-massive-data-2003.13226"/></url>
<url><loc>https://scifaro.com/en/abs/towards-stable-and-comprehensive-domain-alignment-max-margin-domain-adversarial-training-2003.13249</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-stable-and-comprehensive-domain-alignment-max-margin-domain-adversarial-training-2003.13249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-stable-and-comprehensive-domain-alignment-max-margin-domain-adversarial-training-2003.13249"/></url>
<url><loc>https://scifaro.com/en/abs/the-hessian-estimation-evolution-strategy-2003.13256</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-hessian-estimation-evolution-strategy-2003.13256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-hessian-estimation-evolution-strategy-2003.13256"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-random-search-for-cnn-hyperparameter-optimization-2003.13300</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-random-search-for-cnn-hyperparameter-optimization-2003.13300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-random-search-for-cnn-hyperparameter-optimization-2003.13300"/></url>
<url><loc>https://scifaro.com/en/abs/half-empty-or-half-full-a-hybrid-approach-to-predict-recycling-behavior-of-consumers-to-increase-reverse-vending-machine-uptime-2003.13304</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/half-empty-or-half-full-a-hybrid-approach-to-predict-recycling-behavior-of-consumers-to-increase-reverse-vending-machine-uptime-2003.13304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/half-empty-or-half-full-a-hybrid-approach-to-predict-recycling-behavior-of-consumers-to-increase-reverse-vending-machine-uptime-2003.13304"/></url>
<url><loc>https://scifaro.com/en/abs/ultrasound-guided-robotic-navigation-with-deep-reinforcement-learning-2003.13321</loc><lastmod>2020-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ultrasound-guided-robotic-navigation-with-deep-reinforcement-learning-2003.13321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ultrasound-guided-robotic-navigation-with-deep-reinforcement-learning-2003.13321"/></url>
<url><loc>https://scifaro.com/en/abs/pointgmm-a-neural-gmm-network-for-point-clouds-2003.13326</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pointgmm-a-neural-gmm-network-for-point-clouds-2003.13326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pointgmm-a-neural-gmm-network-for-point-clouds-2003.13326"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-proximal-gradient-algorithm-with-minibatches-application-to-large-scale-learning-models-2003.13332</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-proximal-gradient-algorithm-with-minibatches-application-to-large-scale-learning-models-2003.13332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-proximal-gradient-algorithm-with-minibatches-application-to-large-scale-learning-models-2003.13332"/></url>
<url><loc>https://scifaro.com/en/abs/agent57-outperforming-the-atari-human-benchmark-2003.13350</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agent57-outperforming-the-atari-human-benchmark-2003.13350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agent57-outperforming-the-atari-human-benchmark-2003.13350"/></url>
<url><loc>https://scifaro.com/en/abs/neural-communication-systems-with-bandwidth-limited-channel-2003.13367</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-communication-systems-with-bandwidth-limited-channel-2003.13367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-communication-systems-with-bandwidth-limited-channel-2003.13367"/></url>
<url><loc>https://scifaro.com/en/abs/secure-metric-learning-via-differential-pairwise-privacy-2003.13413</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secure-metric-learning-via-differential-pairwise-privacy-2003.13413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secure-metric-learning-via-differential-pairwise-privacy-2003.13413"/></url>
<url><loc>https://scifaro.com/en/abs/graph-hawkes-neural-network-for-forecasting-on-temporal-knowledge-graphs-2003.13432</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-hawkes-neural-network-for-forecasting-on-temporal-knowledge-graphs-2003.13432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-hawkes-neural-network-for-forecasting-on-temporal-knowledge-graphs-2003.13432"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-knowledge-transfer-in-kernel-regime-2003.13438</loc><lastmod>2023-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-knowledge-transfer-in-kernel-regime-2003.13438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-knowledge-transfer-in-kernel-regime-2003.13438"/></url>
<url><loc>https://scifaro.com/en/abs/introduction-to-rare-event-predictive-modeling-for-inferential-statisticians-a-hands-on-application-in-the-prediction-of-breakthrough-patents-2003.13441</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introduction-to-rare-event-predictive-modeling-for-inferential-statisticians-a-hands-on-application-in-the-prediction-of-breakthrough-patents-2003.13441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introduction-to-rare-event-predictive-modeling-for-inferential-statisticians-a-hands-on-application-in-the-prediction-of-breakthrough-patents-2003.13441"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-personalized-federated-learning-2003.13461</loc><lastmod>2020-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-personalized-federated-learning-2003.13461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-personalized-federated-learning-2003.13461"/></url>
<url><loc>https://scifaro.com/en/abs/ocmst-one-class-novelty-detection-using-convolutional-neural-network-and-minimum-spanning-trees-2003.13524</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ocmst-one-class-novelty-detection-using-convolutional-neural-network-and-minimum-spanning-trees-2003.13524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ocmst-one-class-novelty-detection-using-convolutional-neural-network-and-minimum-spanning-trees-2003.13524"/></url>
<url><loc>https://scifaro.com/en/abs/a-privacy-preserving-distributed-architecture-for-deep-learning-as-a-service-2003.13541</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-privacy-preserving-distributed-architecture-for-deep-learning-as-a-service-2003.13541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-privacy-preserving-distributed-architecture-for-deep-learning-as-a-service-2003.13541"/></url>
<url><loc>https://scifaro.com/en/abs/on-biased-random-walks-corrupted-intervals-and-learning-under-adversarial-design-2003.13561</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-biased-random-walks-corrupted-intervals-and-learning-under-adversarial-design-2003.13561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-biased-random-walks-corrupted-intervals-and-learning-under-adversarial-design-2003.13561"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-flows-and-geometric-optimization-on-the-orthogonal-group-2003.13563</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-flows-and-geometric-optimization-on-the-orthogonal-group-2003.13563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-flows-and-geometric-optimization-on-the-orthogonal-group-2003.13563"/></url>
<url><loc>https://scifaro.com/en/abs/how-not-to-give-a-flop-combining-regularization-and-pruning-for-efficient-inference-2003.13593</loc><lastmod>2020-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-not-to-give-a-flop-combining-regularization-and-pruning-for-efficient-inference-2003.13593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-not-to-give-a-flop-combining-regularization-and-pruning-for-efficient-inference-2003.13593"/></url>
<url><loc>https://scifaro.com/en/abs/l-2-gcn-layer-wise-and-learned-efficient-training-of-graph-convolutional-networks-2003.13606</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l-2-gcn-layer-wise-and-learned-efficient-training-of-graph-convolutional-networks-2003.13606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l-2-gcn-layer-wise-and-learned-efficient-training-of-graph-convolutional-networks-2003.13606"/></url>
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<url><loc>https://scifaro.com/en/abs/repository-for-reusing-artifacts-of-artificial-neural-networks-2003.13619</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/repository-for-reusing-artifacts-of-artificial-neural-networks-2003.13619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/repository-for-reusing-artifacts-of-artificial-neural-networks-2003.13619"/></url>
<url><loc>https://scifaro.com/en/abs/latent-graph-learning-for-disease-prediction-2003.13620</loc><lastmod>2022-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-graph-learning-for-disease-prediction-2003.13620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-graph-learning-for-disease-prediction-2003.13620"/></url>
<url><loc>https://scifaro.com/en/abs/a-game-theoretic-approach-for-generative-adversarial-networks-2003.13637</loc><lastmod>2025-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-game-theoretic-approach-for-generative-adversarial-networks-2003.13637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-game-theoretic-approach-for-generative-adversarial-networks-2003.13637"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-reinforcement-learning-with-soft-modularization-2003.13661</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-reinforcement-learning-with-soft-modularization-2003.13661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-reinforcement-learning-with-soft-modularization-2003.13661"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-over-smoothing-in-deep-gcns-2003.13663</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-over-smoothing-in-deep-gcns-2003.13663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-over-smoothing-in-deep-gcns-2003.13663"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-large-scale-epidemic-control-2003.13676</loc><lastmod>2020-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-large-scale-epidemic-control-2003.13676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-large-scale-epidemic-control-2003.13676"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-with-node-importance-based-adaptive-group-sparse-regularization-2003.13726</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-with-node-importance-based-adaptive-group-sparse-regularization-2003.13726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-with-node-importance-based-adaptive-group-sparse-regularization-2003.13726"/></url>
<url><loc>https://scifaro.com/en/abs/parallelization-of-monte-carlo-tree-search-in-continuous-domains-2003.13741</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelization-of-monte-carlo-tree-search-in-continuous-domains-2003.13741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelization-of-monte-carlo-tree-search-in-continuous-domains-2003.13741"/></url>
<url><loc>https://scifaro.com/en/abs/concentrated-differentially-private-and-utility-preserving-federated-learning-2003.13761</loc><lastmod>2020-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concentrated-differentially-private-and-utility-preserving-federated-learning-2003.13761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concentrated-differentially-private-and-utility-preserving-federated-learning-2003.13761"/></url>
<url><loc>https://scifaro.com/en/abs/from-patterson-maps-to-atomic-coordinates-training-a-deep-neural-network-to-solve-the-phase-problem-for-a-simplified-case-2003.13767</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-patterson-maps-to-atomic-coordinates-training-a-deep-neural-network-to-solve-the-phase-problem-for-a-simplified-case-2003.13767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-patterson-maps-to-atomic-coordinates-training-a-deep-neural-network-to-solve-the-phase-problem-for-a-simplified-case-2003.13767"/></url>
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<url><loc>https://scifaro.com/en/abs/a-hierarchical-transformer-for-unsupervised-parsing-2003.13841</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hierarchical-transformer-for-unsupervised-parsing-2003.13841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hierarchical-transformer-for-unsupervised-parsing-2003.13841"/></url>
<url><loc>https://scifaro.com/en/abs/covid-ct-dataset-a-ct-scan-dataset-about-covid-19-2003.13865</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covid-ct-dataset-a-ct-scan-dataset-about-covid-19-2003.13865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covid-ct-dataset-a-ct-scan-dataset-about-covid-19-2003.13865"/></url>
<url><loc>https://scifaro.com/en/abs/dataless-model-selection-with-the-deep-frame-potential-2003.13866</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dataless-model-selection-with-the-deep-frame-potential-2003.13866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dataless-model-selection-with-the-deep-frame-potential-2003.13866"/></url>
<url><loc>https://scifaro.com/en/abs/a-low-cost-fault-corrector-for-deep-neural-networks-through-range-restriction-2003.13874</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-low-cost-fault-corrector-for-deep-neural-networks-through-range-restriction-2003.13874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-low-cost-fault-corrector-for-deep-neural-networks-through-range-restriction-2003.13874"/></url>
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<url><loc>https://scifaro.com/en/abs/deepgs-deep-representation-learning-of-graphs-and-sequences-for-drug-target-binding-affinity-prediction-2003.13902</loc><lastmod>2020-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepgs-deep-representation-learning-of-graphs-and-sequences-for-drug-target-binding-affinity-prediction-2003.13902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepgs-deep-representation-learning-of-graphs-and-sequences-for-drug-target-binding-affinity-prediction-2003.13902"/></url>
<url><loc>https://scifaro.com/en/abs/inference-with-aggregate-data-an-optimal-transport-approach-2003.13933</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-with-aggregate-data-an-optimal-transport-approach-2003.13933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-with-aggregate-data-an-optimal-transport-approach-2003.13933"/></url>
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<url><loc>https://scifaro.com/en/abs/a-spatio-temporal-spot-forecasting-framework-for-urban-traffic-prediction-2003.13977</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spatio-temporal-spot-forecasting-framework-for-urban-traffic-prediction-2003.13977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spatio-temporal-spot-forecasting-framework-for-urban-traffic-prediction-2003.13977"/></url>
<url><loc>https://scifaro.com/en/abs/deep-semantic-gaze-embedding-and-scanpath-comparison-for-expertise-classification-during-opt-viewing-2003.13987</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-semantic-gaze-embedding-and-scanpath-comparison-for-expertise-classification-during-opt-viewing-2003.13987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-semantic-gaze-embedding-and-scanpath-comparison-for-expertise-classification-during-opt-viewing-2003.13987"/></url>
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<url><loc>https://scifaro.com/en/abs/mtl-nas-task-agnostic-neural-architecture-search-towards-general-purpose-multi-task-learning-2003.14058</loc><lastmod>2020-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mtl-nas-task-agnostic-neural-architecture-search-towards-general-purpose-multi-task-learning-2003.14058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mtl-nas-task-agnostic-neural-architecture-search-towards-general-purpose-multi-task-learning-2003.14058"/></url>
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<url><loc>https://scifaro.com/en/abs/sample-efficient-ensemble-learning-with-catalyst-rl-2003.14210</loc><lastmod>2020-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-ensemble-learning-with-catalyst-rl-2003.14210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-ensemble-learning-with-catalyst-rl-2003.14210"/></url>
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<url><loc>https://scifaro.com/en/abs/information-leakage-in-embedding-models-2004.00053</loc><lastmod>2020-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-leakage-in-embedding-models-2004.00053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-leakage-in-embedding-models-2004.00053"/></url>
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<url><loc>https://scifaro.com/en/abs/ontology-based-interpretable-machine-learning-for-textual-data-2004.00204</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ontology-based-interpretable-machine-learning-for-textual-data-2004.00204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ontology-based-interpretable-machine-learning-for-textual-data-2004.00204"/></url>
<url><loc>https://scifaro.com/en/abs/metapoison-practical-general-purpose-clean-label-data-poisoning-2004.00225</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metapoison-practical-general-purpose-clean-label-data-poisoning-2004.00225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metapoison-practical-general-purpose-clean-label-data-poisoning-2004.00225"/></url>
<url><loc>https://scifaro.com/en/abs/depth-selection-for-deep-relu-nets-in-feature-extraction-and-generalization-2004.00245</loc><lastmod>2020-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depth-selection-for-deep-relu-nets-in-feature-extraction-and-generalization-2004.00245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depth-selection-for-deep-relu-nets-in-feature-extraction-and-generalization-2004.00245"/></url>
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<url><loc>https://scifaro.com/en/abs/ivy-instrumental-variable-synthesis-for-causal-inference-2004.05316</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ivy-instrumental-variable-synthesis-for-causal-inference-2004.05316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ivy-instrumental-variable-synthesis-for-causal-inference-2004.05316"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-via-adaptation-to-similar-tasks-for-mortality-prediction-of-diverse-rare-diseases-2004.05318</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-via-adaptation-to-similar-tasks-for-mortality-prediction-of-diverse-rare-diseases-2004.05318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-via-adaptation-to-similar-tasks-for-mortality-prediction-of-diverse-rare-diseases-2004.05318"/></url>
<url><loc>https://scifaro.com/en/abs/bit-parallel-vector-composability-for-neural-acceleration-2004.05333</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bit-parallel-vector-composability-for-neural-acceleration-2004.05333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bit-parallel-vector-composability-for-neural-acceleration-2004.05333"/></url>
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<url><loc>https://scifaro.com/en/abs/training-data-set-assessment-for-decision-making-in-a-multiagent-landmine-detection-platform-2004.05380</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-data-set-assessment-for-decision-making-in-a-multiagent-landmine-detection-platform-2004.05380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-data-set-assessment-for-decision-making-in-a-multiagent-landmine-detection-platform-2004.05380"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-surprise-in-indoor-environments-2004.05381</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-surprise-in-indoor-environments-2004.05381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-surprise-in-indoor-environments-2004.05381"/></url>
<url><loc>https://scifaro.com/en/abs/trajectory-annotation-using-sequences-of-spatial-perception-2004.05383</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trajectory-annotation-using-sequences-of-spatial-perception-2004.05383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trajectory-annotation-using-sequences-of-spatial-perception-2004.05383"/></url>
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<url><loc>https://scifaro.com/en/abs/meta-learning-in-neural-networks-a-survey-2004.05439</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-in-neural-networks-a-survey-2004.05439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-in-neural-networks-a-survey-2004.05439"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-learning-via-adaptive-questioning-2004.05442</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-learning-via-adaptive-questioning-2004.05442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-learning-via-adaptive-questioning-2004.05442"/></url>
<url><loc>https://scifaro.com/en/abs/depthwise-discrete-representation-learning-2004.05462</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depthwise-discrete-representation-learning-2004.05462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depthwise-discrete-representation-learning-2004.05462"/></url>
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<url><loc>https://scifaro.com/en/abs/autoencoding-generative-adversarial-networks-2004.05472</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoding-generative-adversarial-networks-2004.05472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoding-generative-adversarial-networks-2004.05472"/></url>
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<url><loc>https://scifaro.com/en/abs/reinforcement-learning-via-reasoning-from-demonstration-2004.05512</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-via-reasoning-from-demonstration-2004.05512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-via-reasoning-from-demonstration-2004.05512"/></url>
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<url><loc>https://scifaro.com/en/abs/exposing-hardware-building-blocks-to-machine-learning-frameworks-2004.05898</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exposing-hardware-building-blocks-to-machine-learning-frameworks-2004.05898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exposing-hardware-building-blocks-to-machine-learning-frameworks-2004.05898"/></url>
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<url><loc>https://scifaro.com/en/abs/a-survey-on-impact-of-transient-faults-on-bnn-inference-accelerators-2004.05915</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-impact-of-transient-faults-on-bnn-inference-accelerators-2004.05915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-impact-of-transient-faults-on-bnn-inference-accelerators-2004.05915"/></url>
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<url><loc>https://scifaro.com/en/abs/improving-expressivity-of-graph-neural-networks-2004.05994</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-expressivity-of-graph-neural-networks-2004.05994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-expressivity-of-graph-neural-networks-2004.05994"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-rules-generalizing-labeled-exemplars-2004.06025</loc><lastmod>2020-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-rules-generalizing-labeled-exemplars-2004.06025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-rules-generalizing-labeled-exemplars-2004.06025"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-properties-of-steel-alloys-2004.06037</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-properties-of-steel-alloys-2004.06037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-properties-of-steel-alloys-2004.06037"/></url>
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<url><loc>https://scifaro.com/en/abs/topology-of-deep-neural-networks-2004.06093</loc><lastmod>2020-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topology-of-deep-neural-networks-2004.06093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topology-of-deep-neural-networks-2004.06093"/></url>
<url><loc>https://scifaro.com/en/abs/local-model-feature-transformations-2004.06149</loc><lastmod>2020-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-model-feature-transformations-2004.06149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-model-feature-transformations-2004.06149"/></url>
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<url><loc>https://scifaro.com/en/abs/multilevel-minimization-for-deep-residual-networks-2004.06196</loc><lastmod>2020-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilevel-minimization-for-deep-residual-networks-2004.06196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilevel-minimization-for-deep-residual-networks-2004.06196"/></url>
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<url><loc>https://scifaro.com/en/abs/destination-prediction-based-on-partial-trajectory-data-2004.07473</loc><lastmod>2020-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/destination-prediction-based-on-partial-trajectory-data-2004.07473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/destination-prediction-based-on-partial-trajectory-data-2004.07473"/></url>
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<url><loc>https://scifaro.com/en/abs/invariant-integration-in-deep-convolutional-feature-space-2004.09166</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariant-integration-in-deep-convolutional-feature-space-2004.09166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariant-integration-in-deep-convolutional-feature-space-2004.09166"/></url>
<url><loc>https://scifaro.com/en/abs/gran-an-efficient-gradient-norm-based-detector-for-adversarial-and-misclassified-examples-2004.09179</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gran-an-efficient-gradient-norm-based-detector-for-adversarial-and-misclassified-examples-2004.09179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gran-an-efficient-gradient-norm-based-detector-for-adversarial-and-misclassified-examples-2004.09179"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-normalization-in-neural-odes-2004.09222</loc><lastmod>2020-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-normalization-in-neural-odes-2004.09222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-normalization-in-neural-odes-2004.09222"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-linearly-constrained-bandits-2004.09258</loc><lastmod>2020-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-linearly-constrained-bandits-2004.09258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-linearly-constrained-bandits-2004.09258"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-theory-of-machine-learning-2004.09280</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-theory-of-machine-learning-2004.09280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-theory-of-machine-learning-2004.09280"/></url>
<url><loc>https://scifaro.com/en/abs/tractable-approximate-gaussian-inference-for-bayesian-neural-networks-2004.09281</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tractable-approximate-gaussian-inference-for-bayesian-neural-networks-2004.09281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tractable-approximate-gaussian-inference-for-bayesian-neural-networks-2004.09281"/></url>
<url><loc>https://scifaro.com/en/abs/non-blocking-simultaneous-multithreading-embracing-the-resiliency-of-deep-neural-networks-2004.09309</loc><lastmod>2020-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-blocking-simultaneous-multithreading-embracing-the-resiliency-of-deep-neural-networks-2004.09309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-blocking-simultaneous-multithreading-embracing-the-resiliency-of-deep-neural-networks-2004.09309"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-curation-of-unstructured-clinical-notes-from-a-massive-ehr-system-reveals-specific-phenotypic-signature-of-impending-covid-19-diagnosis-2004.09338</loc><lastmod>2020-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-curation-of-unstructured-clinical-notes-from-a-massive-ehr-system-reveals-specific-phenotypic-signature-of-impending-covid-19-diagnosis-2004.09338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-curation-of-unstructured-clinical-notes-from-a-massive-ehr-system-reveals-specific-phenotypic-signature-of-impending-covid-19-diagnosis-2004.09338"/></url>
<url><loc>https://scifaro.com/en/abs/clovacall-korean-goal-oriented-dialog-speech-corpus-for-automatic-speech-recognition-of-contact-centers-2004.09367</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clovacall-korean-goal-oriented-dialog-speech-corpus-for-automatic-speech-recognition-of-contact-centers-2004.09367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clovacall-korean-goal-oriented-dialog-speech-corpus-for-automatic-speech-recognition-of-contact-centers-2004.09367"/></url>
<url><loc>https://scifaro.com/en/abs/mixpul-consistency-based-augmentation-for-positive-and-unlabeled-learning-2004.09388</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixpul-consistency-based-augmentation-for-positive-and-unlabeled-learning-2004.09388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixpul-consistency-based-augmentation-for-positive-and-unlabeled-learning-2004.09388"/></url>
<url><loc>https://scifaro.com/en/abs/energy-based-imitation-learning-2004.09395</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-based-imitation-learning-2004.09395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-based-imitation-learning-2004.09395"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-stream-classification-with-self-organizing-maps-2004.09397</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-stream-classification-with-self-organizing-maps-2004.09397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-stream-classification-with-self-organizing-maps-2004.09397"/></url>
<url><loc>https://scifaro.com/en/abs/vowel-a-local-online-learning-rule-for-recurrent-networks-of-probabilistic-spiking-winner-take-all-circuits-2004.09416</loc><lastmod>2020-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vowel-a-local-online-learning-rule-for-recurrent-networks-of-probabilistic-spiking-winner-take-all-circuits-2004.09416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vowel-a-local-online-learning-rule-for-recurrent-networks-of-probabilistic-spiking-winner-take-all-circuits-2004.09416"/></url>
<url><loc>https://scifaro.com/en/abs/causality-aware-counterfactual-confounding-adjustment-for-feature-representations-learned-by-deep-models-2004.09466</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causality-aware-counterfactual-confounding-adjustment-for-feature-representations-learned-by-deep-models-2004.09466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causality-aware-counterfactual-confounding-adjustment-for-feature-representations-learned-by-deep-models-2004.09466"/></url>
<url><loc>https://scifaro.com/en/abs/real-world-games-look-like-spinning-tops-2004.09468</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-world-games-look-like-spinning-tops-2004.09468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-world-games-look-like-spinning-tops-2004.09468"/></url>
<url><loc>https://scifaro.com/en/abs/attention-routing-track-assignment-detailed-routing-using-attention-based-reinforcement-learning-2004.09473</loc><lastmod>2020-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-routing-track-assignment-detailed-routing-using-attention-based-reinforcement-learning-2004.09473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-routing-track-assignment-detailed-routing-using-attention-based-reinforcement-learning-2004.09473"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-initialization-of-neural-networks-2004.09506</loc><lastmod>2020-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-initialization-of-neural-networks-2004.09506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-initialization-of-neural-networks-2004.09506"/></url>
<url><loc>https://scifaro.com/en/abs/a-benchmark-study-on-time-series-clustering-2004.09546</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-benchmark-study-on-time-series-clustering-2004.09546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-benchmark-study-on-time-series-clustering-2004.09546"/></url>
<url><loc>https://scifaro.com/en/abs/soqal-selective-oracle-questioning-for-consistency-based-active-learning-of-cardiac-signals-2004.09557</loc><lastmod>2022-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soqal-selective-oracle-questioning-for-consistency-based-active-learning-of-cardiac-signals-2004.09557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soqal-selective-oracle-questioning-for-consistency-based-active-learning-of-cardiac-signals-2004.09557"/></url>
<url><loc>https://scifaro.com/en/abs/learning-entangled-single-sample-distributions-via-iterative-trimming-2004.09563</loc><lastmod>2020-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-entangled-single-sample-distributions-via-iterative-trimming-2004.09563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-entangled-single-sample-distributions-via-iterative-trimming-2004.09563"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-compression-via-learnable-wavelet-transforms-2004.09569</loc><lastmod>2020-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-compression-via-learnable-wavelet-transforms-2004.09569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-compression-via-learnable-wavelet-transforms-2004.09569"/></url>
<url><loc>https://scifaro.com/en/abs/clops-continual-learning-of-physiological-signals-2004.09578</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clops-continual-learning-of-physiological-signals-2004.09578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clops-continual-learning-of-physiological-signals-2004.09578"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-cheeger-and-buser-inequalities-with-applications-to-clustering-and-cutting-probability-densities-2004.09589</loc><lastmod>2020-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-cheeger-and-buser-inequalities-with-applications-to-clustering-and-cutting-probability-densities-2004.09589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-cheeger-and-buser-inequalities-with-applications-to-clustering-and-cutting-probability-densities-2004.09589"/></url>
<url><loc>https://scifaro.com/en/abs/integer-quantization-for-deep-learning-inference-principles-and-empirical-evaluation-2004.09602</loc><lastmod>2020-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integer-quantization-for-deep-learning-inference-principles-and-empirical-evaluation-2004.09602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integer-quantization-for-deep-learning-inference-principles-and-empirical-evaluation-2004.09602"/></url>
<url><loc>https://scifaro.com/en/abs/flow-based-algorithms-for-improving-clusters-a-unifying-framework-software-and-performance-2004.09608</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flow-based-algorithms-for-improving-clusters-a-unifying-framework-software-and-performance-2004.09608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flow-based-algorithms-for-improving-clusters-a-unifying-framework-software-and-performance-2004.09608"/></url>
<url><loc>https://scifaro.com/en/abs/a-critical-overview-of-privacy-preserving-approaches-for-collaborative-forecasting-2004.09612</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-critical-overview-of-privacy-preserving-approaches-for-collaborative-forecasting-2004.09612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-critical-overview-of-privacy-preserving-approaches-for-collaborative-forecasting-2004.09612"/></url>
<url><loc>https://scifaro.com/en/abs/two-level-lattice-neural-network-architectures-for-control-of-nonlinear-systems-2004.09628</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-level-lattice-neural-network-architectures-for-control-of-nonlinear-systems-2004.09628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-level-lattice-neural-network-architectures-for-control-of-nonlinear-systems-2004.09628"/></url>
<url><loc>https://scifaro.com/en/abs/tightening-exploration-in-upper-confidence-reinforcement-learning-2004.09656</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tightening-exploration-in-upper-confidence-reinforcement-learning-2004.09656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tightening-exploration-in-upper-confidence-reinforcement-learning-2004.09656"/></url>
<url><loc>https://scifaro.com/en/abs/local-clustering-with-mean-teacher-for-semi-supervised-learning-2004.09665</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-clustering-with-mean-teacher-for-semi-supervised-learning-2004.09665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-clustering-with-mean-teacher-for-semi-supervised-learning-2004.09665"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-exploitability-learning-a-best-response-in-large-games-2004.09677</loc><lastmod>2022-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-exploitability-learning-a-best-response-in-large-games-2004.09677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-exploitability-learning-a-best-response-in-large-games-2004.09677"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-and-compute-efficient-design-for-limited-resources-deep-learning-2004.09691</loc><lastmod>2020-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-and-compute-efficient-design-for-limited-resources-deep-learning-2004.09691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-and-compute-efficient-design-for-limited-resources-deep-learning-2004.09691"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-causal-learning-for-effectiveness-optimization-in-user-marketing-2004.09702</loc><lastmod>2020-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-causal-learning-for-effectiveness-optimization-in-user-marketing-2004.09702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-causal-learning-for-effectiveness-optimization-in-user-marketing-2004.09702"/></url>
<url><loc>https://scifaro.com/en/abs/learning-continuous-treatment-policy-and-bipartite-embeddings-for-matching-with-heterogeneous-causal-effects-2004.09703</loc><lastmod>2020-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-continuous-treatment-policy-and-bipartite-embeddings-for-matching-with-heterogeneous-causal-effects-2004.09703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-continuous-treatment-policy-and-bipartite-embeddings-for-matching-with-heterogeneous-causal-effects-2004.09703"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-tag-recommendation-for-painting-artworks-using-diachronic-descriptions-2004.09710</loc><lastmod>2020-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-tag-recommendation-for-painting-artworks-using-diachronic-descriptions-2004.09710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-tag-recommendation-for-painting-artworks-using-diachronic-descriptions-2004.09710"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-compressive-power-of-boolean-threshold-autoencoders-2004.09735</loc><lastmod>2023-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-compressive-power-of-boolean-threshold-autoencoders-2004.09735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-compressive-power-of-boolean-threshold-autoencoders-2004.09735"/></url>
<url><loc>https://scifaro.com/en/abs/adax-adaptive-gradient-descent-with-exponential-long-term-memory-2004.09740</loc><lastmod>2020-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adax-adaptive-gradient-descent-with-exponential-long-term-memory-2004.09740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adax-adaptive-gradient-descent-with-exponential-long-term-memory-2004.09740"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-variational-attention-models-for-language-generation-2004.09764</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-variational-attention-models-for-language-generation-2004.09764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-variational-attention-models-for-language-generation-2004.09764"/></url>
<url><loc>https://scifaro.com/en/abs/perturb-more-trap-more-understanding-behaviors-of-graph-neural-networks-2004.09808</loc><lastmod>2020-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perturb-more-trap-more-understanding-behaviors-of-graph-neural-networks-2004.09808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perturb-more-trap-more-understanding-behaviors-of-graph-neural-networks-2004.09808"/></url>
<url><loc>https://scifaro.com/en/abs/improving-positive-unlabeled-learning-practical-aul-estimation-and-new-training-method-for-extremely-imbalanced-data-sets-2004.09820</loc><lastmod>2020-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-positive-unlabeled-learning-practical-aul-estimation-and-new-training-method-for-extremely-imbalanced-data-sets-2004.09820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-positive-unlabeled-learning-practical-aul-estimation-and-new-training-method-for-extremely-imbalanced-data-sets-2004.09820"/></url>
<url><loc>https://scifaro.com/en/abs/lrtd-long-range-temporal-dependency-based-active-learning-for-surgical-workflow-recognition-2004.09845</loc><lastmod>2020-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lrtd-long-range-temporal-dependency-based-active-learning-for-surgical-workflow-recognition-2004.09845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lrtd-long-range-temporal-dependency-based-active-learning-for-surgical-workflow-recognition-2004.09845"/></url>
<url><loc>https://scifaro.com/en/abs/sibre-self-improvement-based-rewards-for-adaptive-feedback-in-reinforcement-learning-2004.09846</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sibre-self-improvement-based-rewards-for-adaptive-feedback-in-reinforcement-learning-2004.09846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sibre-self-improvement-based-rewards-for-adaptive-feedback-in-reinforcement-learning-2004.09846"/></url>
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<url><loc>https://scifaro.com/en/abs/federated-learning-with-only-positive-labels-2004.10342</loc><lastmod>2020-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-only-positive-labels-2004.10342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-only-positive-labels-2004.10342"/></url>
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<url><loc>https://scifaro.com/en/abs/hierarchically-fair-federated-learning-2004.10386</loc><lastmod>2020-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchically-fair-federated-learning-2004.10386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchically-fair-federated-learning-2004.10386"/></url>
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<url><loc>https://scifaro.com/en/abs/how-to-compare-adversarial-robustness-of-classifiers-from-a-global-perspective-2004.10882</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-compare-adversarial-robustness-of-classifiers-from-a-global-perspective-2004.10882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-compare-adversarial-robustness-of-classifiers-from-a-global-perspective-2004.10882"/></url>
<url><loc>https://scifaro.com/en/abs/mean-variance-policy-iteration-for-risk-averse-reinforcement-learning-2004.10888</loc><lastmod>2022-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-variance-policy-iteration-for-risk-averse-reinforcement-learning-2004.10888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-variance-policy-iteration-for-risk-averse-reinforcement-learning-2004.10888"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-stochastic-mining-for-heterogeneous-retrieval-2004.10915</loc><lastmod>2020-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-stochastic-mining-for-heterogeneous-retrieval-2004.10915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-stochastic-mining-for-heterogeneous-retrieval-2004.10915"/></url>
<url><loc>https://scifaro.com/en/abs/tcnn-triple-convolutional-neural-network-models-for-retrieval-based-question-answering-system-in-e-commerce-2004.10919</loc><lastmod>2025-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tcnn-triple-convolutional-neural-network-models-for-retrieval-based-question-answering-system-in-e-commerce-2004.10919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tcnn-triple-convolutional-neural-network-models-for-retrieval-based-question-answering-system-in-e-commerce-2004.10919"/></url>
<url><loc>https://scifaro.com/en/abs/private-query-release-assisted-by-public-data-2004.10941</loc><lastmod>2020-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-query-release-assisted-by-public-data-2004.10941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-query-release-assisted-by-public-data-2004.10941"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-geographic-and-long-term-temporal-graph-for-traffic-forecasting-2004.10958</loc><lastmod>2020-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-geographic-and-long-term-temporal-graph-for-traffic-forecasting-2004.10958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-geographic-and-long-term-temporal-graph-for-traffic-forecasting-2004.10958"/></url>
<url><loc>https://scifaro.com/en/abs/metric-learning-assisted-domain-adaptation-2004.10963</loc><lastmod>2020-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-learning-assisted-domain-adaptation-2004.10963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-learning-assisted-domain-adaptation-2004.10963"/></url>
<url><loc>https://scifaro.com/en/abs/archnet-data-hiding-model-in-distributed-machine-learning-system-2004.10968</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/archnet-data-hiding-model-in-distributed-machine-learning-system-2004.10968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/archnet-data-hiding-model-in-distributed-machine-learning-system-2004.10968"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-of-chaos-classification-2004.10980</loc><lastmod>2020-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-of-chaos-classification-2004.10980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-of-chaos-classification-2004.10980"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-generalized-canonical-correlation-analysis-distributed-alternating-iteration-based-approach-2004.10981</loc><lastmod>2020-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-generalized-canonical-correlation-analysis-distributed-alternating-iteration-based-approach-2004.10981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-generalized-canonical-correlation-analysis-distributed-alternating-iteration-based-approach-2004.10981"/></url>
<url><loc>https://scifaro.com/en/abs/a-complete-characterization-of-projectivity-for-statistical-relational-models-2004.10984</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-complete-characterization-of-projectivity-for-statistical-relational-models-2004.10984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-complete-characterization-of-projectivity-for-statistical-relational-models-2004.10984"/></url>
<url><loc>https://scifaro.com/en/abs/long-short-term-spatiotemporal-tensor-prediction-for-passenger-flow-profile-2004.11022</loc><lastmod>2020-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-short-term-spatiotemporal-tensor-prediction-for-passenger-flow-profile-2004.11022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-short-term-spatiotemporal-tensor-prediction-for-passenger-flow-profile-2004.11022"/></url>
<url><loc>https://scifaro.com/en/abs/on-bayesian-search-for-the-feasible-space-under-computationally-expensive-constraints-2004.11055</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-bayesian-search-for-the-feasible-space-under-computationally-expensive-constraints-2004.11055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-bayesian-search-for-the-feasible-space-under-computationally-expensive-constraints-2004.11055"/></url>
<url><loc>https://scifaro.com/en/abs/quantaized-winograd-toom-cook-convolution-for-dnns-beyond-canonical-polynomials-base-2004.11077</loc><lastmod>2020-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantaized-winograd-toom-cook-convolution-for-dnns-beyond-canonical-polynomials-base-2004.11077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantaized-winograd-toom-cook-convolution-for-dnns-beyond-canonical-polynomials-base-2004.11077"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-interpretability-of-fmri-decoding-using-deep-neural-networks-and-adversarial-robustness-2004.11114</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-interpretability-of-fmri-decoding-using-deep-neural-networks-and-adversarial-robustness-2004.11114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-interpretability-of-fmri-decoding-using-deep-neural-networks-and-adversarial-robustness-2004.11114"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-classification-with-noisy-labels-2004.11116</loc><lastmod>2024-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-classification-with-noisy-labels-2004.11116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-classification-with-noisy-labels-2004.11116"/></url>
<url><loc>https://scifaro.com/en/abs/software-level-accuracy-using-stochastic-computing-with-charge-trap-flash-based-weight-matrix-2004.11120</loc><lastmod>2020-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/software-level-accuracy-using-stochastic-computing-with-charge-trap-flash-based-weight-matrix-2004.11120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/software-level-accuracy-using-stochastic-computing-with-charge-trap-flash-based-weight-matrix-2004.11120"/></url>
<url><loc>https://scifaro.com/en/abs/imputation-of-missing-sub-hourly-precipitation-data-in-a-large-sensor-network-a-machine-learning-approach-2004.11123</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imputation-of-missing-sub-hourly-precipitation-data-in-a-large-sensor-network-a-machine-learning-approach-2004.11123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imputation-of-missing-sub-hourly-precipitation-data-in-a-large-sensor-network-a-machine-learning-approach-2004.11123"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-operations-on-the-gpu-with-autodiff-without-memory-overflows-2004.11127</loc><lastmod>2021-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-operations-on-the-gpu-with-autodiff-without-memory-overflows-2004.11127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-operations-on-the-gpu-with-autodiff-without-memory-overflows-2004.11127"/></url>
<url><loc>https://scifaro.com/en/abs/conditioned-variational-autoencoder-for-top-n-item-recommendation-2004.11141</loc><lastmod>2020-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditioned-variational-autoencoder-for-top-n-item-recommendation-2004.11141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditioned-variational-autoencoder-for-top-n-item-recommendation-2004.11141"/></url>
<url><loc>https://scifaro.com/en/abs/f2a2-flexible-fully-decentralized-approximate-actor-critic-for-cooperative-multi-agent-reinforcement-learning-2004.11145</loc><lastmod>2023-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/f2a2-flexible-fully-decentralized-approximate-actor-critic-for-cooperative-multi-agent-reinforcement-learning-2004.11145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/f2a2-flexible-fully-decentralized-approximate-actor-critic-for-cooperative-multi-agent-reinforcement-learning-2004.11145"/></url>
<url><loc>https://scifaro.com/en/abs/binarized-graph-neural-network-2004.11147</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binarized-graph-neural-network-2004.11147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binarized-graph-neural-network-2004.11147"/></url>
<url><loc>https://scifaro.com/en/abs/a-comprehensive-overview-and-survey-of-recent-advances-in-meta-learning-2004.11149</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comprehensive-overview-and-survey-of-recent-advances-in-meta-learning-2004.11149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comprehensive-overview-and-survey-of-recent-advances-in-meta-learning-2004.11149"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-formula-of-interpretability-to-learn-interpretable-formulas-2004.11170</loc><lastmod>2020-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-formula-of-interpretability-to-learn-interpretable-formulas-2004.11170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-formula-of-interpretability-to-learn-interpretable-formulas-2004.11170"/></url>
<url><loc>https://scifaro.com/en/abs/sign-scalable-inception-graph-neural-networks-2004.11198</loc><lastmod>2020-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sign-scalable-inception-graph-neural-networks-2004.11198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sign-scalable-inception-graph-neural-networks-2004.11198"/></url>
<url><loc>https://scifaro.com/en/abs/classification-using-hyperdimensional-computing-a-review-2004.11204</loc><lastmod>2020-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-using-hyperdimensional-computing-a-review-2004.11204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-using-hyperdimensional-computing-a-review-2004.11204"/></url>
<url><loc>https://scifaro.com/en/abs/multi-level-binarized-lstm-in-eeg-classification-for-wearable-devices-2004.11206</loc><lastmod>2020-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-level-binarized-lstm-in-eeg-classification-for-wearable-devices-2004.11206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-level-binarized-lstm-in-eeg-classification-for-wearable-devices-2004.11206"/></url>
<url><loc>https://scifaro.com/en/abs/quanos-adversarial-noise-sensitivity-driven-hybrid-quantization-of-neural-networks-2004.11233</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quanos-adversarial-noise-sensitivity-driven-hybrid-quantization-of-neural-networks-2004.11233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quanos-adversarial-noise-sensitivity-driven-hybrid-quantization-of-neural-networks-2004.11233"/></url>
<url><loc>https://scifaro.com/en/abs/learning-constrained-dynamics-with-gauss-principle-adhering-gaussian-processes-2004.11238</loc><lastmod>2020-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-constrained-dynamics-with-gauss-principle-adhering-gaussian-processes-2004.11238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-constrained-dynamics-with-gauss-principle-adhering-gaussian-processes-2004.11238"/></url>
<url><loc>https://scifaro.com/en/abs/applications-of-shapelet-transform-to-time-series-classification-of-earthquake-wind-and-wave-data-2004.11243</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applications-of-shapelet-transform-to-time-series-classification-of-earthquake-wind-and-wave-data-2004.11243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applications-of-shapelet-transform-to-time-series-classification-of-earthquake-wind-and-wave-data-2004.11243"/></url>
<url><loc>https://scifaro.com/en/abs/towards-real-time-dnn-inference-on-mobile-platforms-with-model-pruning-and-compiler-optimization-2004.11250</loc><lastmod>2020-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-real-time-dnn-inference-on-mobile-platforms-with-model-pruning-and-compiler-optimization-2004.11250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-real-time-dnn-inference-on-mobile-platforms-with-model-pruning-and-compiler-optimization-2004.11250"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-domain-adaptation-a-graph-embedding-perspective-and-a-rectified-experimental-protocol-2004.11262</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-domain-adaptation-a-graph-embedding-perspective-and-a-rectified-experimental-protocol-2004.11262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-domain-adaptation-a-graph-embedding-perspective-and-a-rectified-experimental-protocol-2004.11262"/></url>
<url><loc>https://scifaro.com/en/abs/intermittent-inference-with-nonuniformly-compressed-multi-exit-neural-network-for-energy-harvesting-powered-devices-2004.11293</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intermittent-inference-with-nonuniformly-compressed-multi-exit-neural-network-for-energy-harvesting-powered-devices-2004.11293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intermittent-inference-with-nonuniformly-compressed-multi-exit-neural-network-for-energy-harvesting-powered-devices-2004.11293"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-automatic-sleep-staging-with-single-night-data-a-pilot-study-with-kl-divergence-regularization-2004.11349</loc><lastmod>2020-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-automatic-sleep-staging-with-single-night-data-a-pilot-study-with-kl-divergence-regularization-2004.11349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-automatic-sleep-staging-with-single-night-data-a-pilot-study-with-kl-divergence-regularization-2004.11349"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-contrastive-learning-2004.11362</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-contrastive-learning-2004.11362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-contrastive-learning-2004.11362"/></url>
<url><loc>https://scifaro.com/en/abs/divide-and-conquer-monte-carlo-tree-search-for-goal-directed-planning-2004.11410</loc><lastmod>2020-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/divide-and-conquer-monte-carlo-tree-search-for-goal-directed-planning-2004.11410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/divide-and-conquer-monte-carlo-tree-search-for-goal-directed-planning-2004.11410"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-neural-architecture-for-text-to-image-synthesis-2004.11437</loc><lastmod>2020-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-neural-architecture-for-text-to-image-synthesis-2004.11437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-neural-architecture-for-text-to-image-synthesis-2004.11437"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-find-a-unicorn-a-novel-model-free-unsupervised-anomaly-detection-method-for-time-series-2004.11468</loc><lastmod>2022-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-find-a-unicorn-a-novel-model-free-unsupervised-anomaly-detection-method-for-time-series-2004.11468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-find-a-unicorn-a-novel-model-free-unsupervised-anomaly-detection-method-for-time-series-2004.11468"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-and-defenses-an-interpretation-perspective-2004.11488</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-and-defenses-an-interpretation-perspective-2004.11488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-and-defenses-an-interpretation-perspective-2004.11488"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-data-samples-aligning-differential-networks-estimation-with-scientific-knowledge-2004.11494</loc><lastmod>2022-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-data-samples-aligning-differential-networks-estimation-with-scientific-knowledge-2004.11494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-data-samples-aligning-differential-networks-estimation-with-scientific-knowledge-2004.11494"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-low-bit-hybrid-quantization-of-neural-networks-through-meta-learning-2004.11506</loc><lastmod>2020-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-low-bit-hybrid-quantization-of-neural-networks-through-meta-learning-2004.11506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-low-bit-hybrid-quantization-of-neural-networks-through-meta-learning-2004.11506"/></url>
<url><loc>https://scifaro.com/en/abs/non-exhaustive-overlapping-co-clustering-an-extended-analysis-2004.11530</loc><lastmod>2020-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-exhaustive-overlapping-co-clustering-an-extended-analysis-2004.11530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-exhaustive-overlapping-co-clustering-an-extended-analysis-2004.11530"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-as-an-implicit-gating-mechanism-for-continual-learning-2004.11545</loc><lastmod>2020-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-as-an-implicit-gating-mechanism-for-continual-learning-2004.11545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-as-an-implicit-gating-mechanism-for-continual-learning-2004.11545"/></url>
<url><loc>https://scifaro.com/en/abs/concept-drift-detection-via-equal-intensity-k-means-space-partitioning-2004.11587</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-drift-detection-via-equal-intensity-k-means-space-partitioning-2004.11587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-drift-detection-via-equal-intensity-k-means-space-partitioning-2004.11587"/></url>
<url><loc>https://scifaro.com/en/abs/convolution-weight-distribution-assumption-rethinking-the-criteria-of-channel-pruning-2004.11627</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolution-weight-distribution-assumption-rethinking-the-criteria-of-channel-pruning-2004.11627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolution-weight-distribution-assumption-rethinking-the-criteria-of-channel-pruning-2004.11627"/></url>
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<url><loc>https://scifaro.com/en/abs/self-organized-operational-neural-networks-with-generative-neurons-2004.11778</loc><lastmod>2020-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-organized-operational-neural-networks-with-generative-neurons-2004.11778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-organized-operational-neural-networks-with-generative-neurons-2004.11778"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-hierarchical-clustering-of-local-updates-to-improve-training-on-non-iid-data-2004.11791</loc><lastmod>2020-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-hierarchical-clustering-of-local-updates-to-improve-training-on-non-iid-data-2004.11791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-hierarchical-clustering-of-local-updates-to-improve-training-on-non-iid-data-2004.11791"/></url>
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<url><loc>https://scifaro.com/en/abs/self-paced-deep-reinforcement-learning-2004.11812</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-paced-deep-reinforcement-learning-2004.11812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-paced-deep-reinforcement-learning-2004.11812"/></url>
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<url><loc>https://scifaro.com/en/abs/towards-differentiable-resampling-2004.11938</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-differentiable-resampling-2004.11938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-differentiable-resampling-2004.11938"/></url>
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<url><loc>https://scifaro.com/en/abs/online-learning-with-cumulative-oversampling-application-to-budgeted-influence-maximization-2004.11963</loc><lastmod>2020-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-cumulative-oversampling-application-to-budgeted-influence-maximization-2004.11963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-cumulative-oversampling-application-to-budgeted-influence-maximization-2004.11963"/></url>
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<url><loc>https://scifaro.com/en/abs/towards-accurate-predictions-and-causal-what-if-analyses-for-planning-and-policy-making-a-case-study-in-emergency-medical-services-demand-2004.12092</loc><lastmod>2020-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-accurate-predictions-and-causal-what-if-analyses-for-planning-and-policy-making-a-case-study-in-emergency-medical-services-demand-2004.12092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-accurate-predictions-and-causal-what-if-analyses-for-planning-and-policy-making-a-case-study-in-emergency-medical-services-demand-2004.12092"/></url>
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<url><loc>https://scifaro.com/en/abs/visual-grounding-of-learned-physical-models-2004.13664</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-grounding-of-learned-physical-models-2004.13664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-grounding-of-learned-physical-models-2004.13664"/></url>
<url><loc>https://scifaro.com/en/abs/variational-integrator-graph-networks-for-learning-energy-conserving-dynamical-systems-2004.13688</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-integrator-graph-networks-for-learning-energy-conserving-dynamical-systems-2004.13688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-integrator-graph-networks-for-learning-energy-conserving-dynamical-systems-2004.13688"/></url>
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<url><loc>https://scifaro.com/en/abs/neural-additive-models-interpretable-machine-learning-with-neural-nets-2004.13912</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-additive-models-interpretable-machine-learning-with-neural-nets-2004.13912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-additive-models-interpretable-machine-learning-with-neural-nets-2004.13912"/></url>
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<url><loc>https://scifaro.com/en/abs/ds-facto-doubly-separable-factorization-machines-2004.13940</loc><lastmod>2020-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ds-facto-doubly-separable-factorization-machines-2004.13940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ds-facto-doubly-separable-factorization-machines-2004.13940"/></url>
<url><loc>https://scifaro.com/en/abs/rethink-the-connections-among-generalization-memorization-and-the-spectral-bias-of-dnns-2004.13954</loc><lastmod>2022-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethink-the-connections-among-generalization-memorization-and-the-spectral-bias-of-dnns-2004.13954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethink-the-connections-among-generalization-memorization-and-the-spectral-bias-of-dnns-2004.13954"/></url>
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<url><loc>https://scifaro.com/en/abs/valid-explanations-for-learning-to-rank-models-2004.13972</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/valid-explanations-for-learning-to-rank-models-2004.13972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/valid-explanations-for-learning-to-rank-models-2004.13972"/></url>
<url><loc>https://scifaro.com/en/abs/extended-coopetitive-soft-gating-ensemble-2004.14026</loc><lastmod>2020-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extended-coopetitive-soft-gating-ensemble-2004.14026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extended-coopetitive-soft-gating-ensemble-2004.14026"/></url>
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<url><loc>https://scifaro.com/en/abs/batch-normalization-in-quantized-networks-2004.14214</loc><lastmod>2020-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-normalization-in-quantized-networks-2004.14214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-normalization-in-quantized-networks-2004.14214"/></url>
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<url><loc>https://scifaro.com/en/abs/multi-view-spectral-clustering-tailored-tensor-low-rank-representation-2004.14705</loc><lastmod>2020-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-spectral-clustering-tailored-tensor-low-rank-representation-2004.14705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-spectral-clustering-tailored-tensor-low-rank-representation-2004.14705"/></url>
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<url><loc>https://scifaro.com/en/abs/joint-multi-dimensional-model-for-global-and-time-series-annotations-2005.03117</loc><lastmod>2020-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-multi-dimensional-model-for-global-and-time-series-annotations-2005.03117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-multi-dimensional-model-for-global-and-time-series-annotations-2005.03117"/></url>
<url><loc>https://scifaro.com/en/abs/towards-frequency-based-explanation-for-robust-cnn-2005.03141</loc><lastmod>2020-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-frequency-based-explanation-for-robust-cnn-2005.03141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-frequency-based-explanation-for-robust-cnn-2005.03141"/></url>
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<url><loc>https://scifaro.com/en/abs/interpreting-deep-models-through-the-lens-of-data-2005.03442</loc><lastmod>2020-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-deep-models-through-the-lens-of-data-2005.03442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-deep-models-through-the-lens-of-data-2005.03442"/></url>
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<url><loc>https://scifaro.com/en/abs/pretraining-federated-text-models-for-next-word-prediction-2005.04828</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pretraining-federated-text-models-for-next-word-prediction-2005.04828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pretraining-federated-text-models-for-next-word-prediction-2005.04828"/></url>
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<url><loc>https://scifaro.com/en/abs/spanning-attack-reinforce-black-box-attacks-with-unlabeled-data-2005.04871</loc><lastmod>2020-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spanning-attack-reinforce-black-box-attacks-with-unlabeled-data-2005.04871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spanning-attack-reinforce-black-box-attacks-with-unlabeled-data-2005.04871"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-attention-transformer-architecture-for-syntactic-spell-correction-2005.04876</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-attention-transformer-architecture-for-syntactic-spell-correction-2005.04876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-attention-transformer-architecture-for-syntactic-spell-correction-2005.04876"/></url>
<url><loc>https://scifaro.com/en/abs/performance-optimization-of-a-fuzzy-entropy-based-feature-selection-and-classification-framework-2005.04888</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-optimization-of-a-fuzzy-entropy-based-feature-selection-and-classification-framework-2005.04888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-optimization-of-a-fuzzy-entropy-based-feature-selection-and-classification-framework-2005.04888"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-hash-with-semantic-similarity-metrics-and-empirical-kl-divergence-2005.04917</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-hash-with-semantic-similarity-metrics-and-empirical-kl-divergence-2005.04917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-hash-with-semantic-similarity-metrics-and-empirical-kl-divergence-2005.04917"/></url>
<url><loc>https://scifaro.com/en/abs/simplemkkm-simple-multiple-kernel-k-means-2005.04975</loc><lastmod>2020-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simplemkkm-simple-multiple-kernel-k-means-2005.04975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simplemkkm-simple-multiple-kernel-k-means-2005.04975"/></url>
<url><loc>https://scifaro.com/en/abs/symplectic-neural-networks-in-taylor-series-form-for-hamiltonian-systems-2005.04986</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symplectic-neural-networks-in-taylor-series-form-for-hamiltonian-systems-2005.04986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symplectic-neural-networks-in-taylor-series-form-for-hamiltonian-systems-2005.04986"/></url>
<url><loc>https://scifaro.com/en/abs/prior-choice-affects-ability-of-bayesian-neural-networks-to-identify-unknowns-2005.04987</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prior-choice-affects-ability-of-bayesian-neural-networks-to-identify-unknowns-2005.04987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prior-choice-affects-ability-of-bayesian-neural-networks-to-identify-unknowns-2005.04987"/></url>
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<url><loc>https://scifaro.com/en/abs/predictive-analysis-of-covid-19-time-series-data-from-johns-hopkins-university-2005.05060</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-analysis-of-covid-19-time-series-data-from-johns-hopkins-university-2005.05060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-analysis-of-covid-19-time-series-data-from-johns-hopkins-university-2005.05060"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-and-online-learning-for-traffic-forecasting-under-different-data-availability-conditions-alternatives-and-pitfalls-2005.05069</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-and-online-learning-for-traffic-forecasting-under-different-data-availability-conditions-alternatives-and-pitfalls-2005.05069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-and-online-learning-for-traffic-forecasting-under-different-data-availability-conditions-alternatives-and-pitfalls-2005.05069"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-using-multi-view-task-conditional-neural-networks-2005.05080</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-using-multi-view-task-conditional-neural-networks-2005.05080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-using-multi-view-task-conditional-neural-networks-2005.05080"/></url>
<url><loc>https://scifaro.com/en/abs/a-federated-learning-framework-for-healthcare-iot-devices-2005.05083</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-federated-learning-framework-for-healthcare-iot-devices-2005.05083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-federated-learning-framework-for-healthcare-iot-devices-2005.05083"/></url>
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<url><loc>https://scifaro.com/en/abs/nearest-neighbor-classifiers-over-incomplete-information-from-certain-answers-to-certain-predictions-2005.05117</loc><lastmod>2020-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearest-neighbor-classifiers-over-incomplete-information-from-certain-answers-to-certain-predictions-2005.05117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearest-neighbor-classifiers-over-incomplete-information-from-certain-answers-to-certain-predictions-2005.05117"/></url>
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<url><loc>https://scifaro.com/en/abs/iunets-fully-invertible-u-nets-with-learnable-up-and-downsampling-2005.05220</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iunets-fully-invertible-u-nets-with-learnable-up-and-downsampling-2005.05220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iunets-fully-invertible-u-nets-with-learnable-up-and-downsampling-2005.05220"/></url>
<url><loc>https://scifaro.com/en/abs/ecg-delnet-delineation-of-ambulatory-electrocardiograms-with-mixed-quality-labeling-using-neural-networks-2005.05236</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ecg-delnet-delineation-of-ambulatory-electrocardiograms-with-mixed-quality-labeling-using-neural-networks-2005.05236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ecg-delnet-delineation-of-ambulatory-electrocardiograms-with-mixed-quality-labeling-using-neural-networks-2005.05236"/></url>
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<url><loc>https://scifaro.com/en/abs/ring-reservoir-neural-networks-for-graphs-2005.05294</loc><lastmod>2020-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ring-reservoir-neural-networks-for-graphs-2005.05294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ring-reservoir-neural-networks-for-graphs-2005.05294"/></url>
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<url><loc>https://scifaro.com/en/abs/a-flexible-extensible-software-framework-for-model-compression-based-on-the-lc-algorithm-2005.07786</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-flexible-extensible-software-framework-for-model-compression-based-on-the-lc-algorithm-2005.07786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-flexible-extensible-software-framework-for-model-compression-based-on-the-lc-algorithm-2005.07786"/></url>
<url><loc>https://scifaro.com/en/abs/joint-progressive-knowledge-distillation-and-unsupervised-domain-adaptation-2005.07839</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-progressive-knowledge-distillation-and-unsupervised-domain-adaptation-2005.07839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-progressive-knowledge-distillation-and-unsupervised-domain-adaptation-2005.07839"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-with-composite-kernels-2005.07869</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-with-composite-kernels-2005.07869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-with-composite-kernels-2005.07869"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-admm-for-convex-distributed-learning-improved-accuracy-via-multi-step-approximation-2005.07890</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-admm-for-convex-distributed-learning-improved-accuracy-via-multi-step-approximation-2005.07890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-admm-for-convex-distributed-learning-improved-accuracy-via-multi-step-approximation-2005.07890"/></url>
<url><loc>https://scifaro.com/en/abs/characteristic-functions-on-graphs-birds-of-a-feather-from-statistical-descriptors-to-parametric-models-2005.07959</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characteristic-functions-on-graphs-birds-of-a-feather-from-statistical-descriptors-to-parametric-models-2005.07959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characteristic-functions-on-graphs-birds-of-a-feather-from-statistical-descriptors-to-parametric-models-2005.07959"/></url>
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<url><loc>https://scifaro.com/en/abs/conformal-prediction-a-unified-review-of-theory-and-new-challenges-2005.07972</loc><lastmod>2024-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-prediction-a-unified-review-of-theory-and-new-challenges-2005.07972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-prediction-a-unified-review-of-theory-and-new-challenges-2005.07972"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-agglomerative-clustering-2005.07995</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-agglomerative-clustering-2005.07995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-agglomerative-clustering-2005.07995"/></url>
<url><loc>https://scifaro.com/en/abs/encryption-inspired-adversarial-defense-for-visual-classification-2005.07998</loc><lastmod>2020-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encryption-inspired-adversarial-defense-for-visual-classification-2005.07998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encryption-inspired-adversarial-defense-for-visual-classification-2005.07998"/></url>
<url><loc>https://scifaro.com/en/abs/graph-partitioning-and-graph-neural-network-based-hierarchical-graph-matching-for-graph-similarity-computation-2005.08008</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-partitioning-and-graph-neural-network-based-hierarchical-graph-matching-for-graph-similarity-computation-2005.08008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-partitioning-and-graph-neural-network-based-hierarchical-graph-matching-for-graph-similarity-computation-2005.08008"/></url>
<url><loc>https://scifaro.com/en/abs/an-effective-and-efficient-initialization-scheme-for-training-multi-layer-feedforward-neural-networks-2005.08027</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-effective-and-efficient-initialization-scheme-for-training-multi-layer-feedforward-neural-networks-2005.08027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-effective-and-efficient-initialization-scheme-for-training-multi-layer-feedforward-neural-networks-2005.08027"/></url>
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<url><loc>https://scifaro.com/en/abs/generalization-bounds-via-information-density-and-conditional-information-density-2005.08044</loc><lastmod>2023-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-via-information-density-and-conditional-information-density-2005.08044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-via-information-density-and-conditional-information-density-2005.08044"/></url>
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<url><loc>https://scifaro.com/en/abs/forecasting-with-sktime-designing-sktime-s-new-forecasting-api-and-applying-it-to-replicate-and-extend-the-m4-study-2005.08067</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-with-sktime-designing-sktime-s-new-forecasting-api-and-applying-it-to-replicate-and-extend-the-m4-study-2005.08067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-with-sktime-designing-sktime-s-new-forecasting-api-and-applying-it-to-replicate-and-extend-the-m4-study-2005.08067"/></url>
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<url><loc>https://scifaro.com/en/abs/a-robust-experimental-evaluation-of-automated-multi-label-classification-methods-2005.08083</loc><lastmod>2020-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-experimental-evaluation-of-automated-multi-label-classification-methods-2005.08083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-experimental-evaluation-of-automated-multi-label-classification-methods-2005.08083"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-optimization-with-seasonal-patterns-2005.08088</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-optimization-with-seasonal-patterns-2005.08088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-optimization-with-seasonal-patterns-2005.08088"/></url>
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<url><loc>https://scifaro.com/en/abs/information-theoretic-analysis-for-transfer-learning-2005.08697</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-analysis-for-transfer-learning-2005.08697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-analysis-for-transfer-learning-2005.08697"/></url>
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<url><loc>https://scifaro.com/en/abs/entropy-augmented-entropy-regularized-reinforcement-learning-and-a-continuous-path-from-policy-gradient-to-q-learning-2005.08844</loc><lastmod>2020-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropy-augmented-entropy-regularized-reinforcement-learning-and-a-continuous-path-from-policy-gradient-to-q-learning-2005.08844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropy-augmented-entropy-regularized-reinforcement-learning-and-a-continuous-path-from-policy-gradient-to-q-learning-2005.08844"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-distributed-processing-of-data-streams-for-machine-learning-2005.08854</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-distributed-processing-of-data-streams-for-machine-learning-2005.08854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-distributed-processing-of-data-streams-for-machine-learning-2005.08854"/></url>
<url><loc>https://scifaro.com/en/abs/pde-constraints-on-smooth-hierarchical-functions-computed-by-neural-networks-2005.08859</loc><lastmod>2021-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pde-constraints-on-smooth-hierarchical-functions-computed-by-neural-networks-2005.08859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pde-constraints-on-smooth-hierarchical-functions-computed-by-neural-networks-2005.08859"/></url>
<url><loc>https://scifaro.com/en/abs/local-and-global-explanations-of-agent-behavior-integrating-strategy-summaries-with-saliency-maps-2005.08874</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-and-global-explanations-of-agent-behavior-integrating-strategy-summaries-with-saliency-maps-2005.08874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-and-global-explanations-of-agent-behavior-integrating-strategy-summaries-with-saliency-maps-2005.08874"/></url>
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<url><loc>https://scifaro.com/en/abs/neural-controlled-differential-equations-for-irregular-time-series-2005.08926</loc><lastmod>2020-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-controlled-differential-equations-for-irregular-time-series-2005.08926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-controlled-differential-equations-for-irregular-time-series-2005.08926"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-online-regression-performance-of-lstms-with-simple-rnns-2005.08948</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-online-regression-performance-of-lstms-with-simple-rnns-2005.08948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-online-regression-performance-of-lstms-with-simple-rnns-2005.08948"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-empirical-validation-of-bayesian-network-structure-learning-algorithms-with-noisy-data-2005.09020</loc><lastmod>2020-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-empirical-validation-of-bayesian-network-structure-learning-algorithms-with-noisy-data-2005.09020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-empirical-validation-of-bayesian-network-structure-learning-algorithms-with-noisy-data-2005.09020"/></url>
<url><loc>https://scifaro.com/en/abs/the-trimmed-lasso-sparse-recovery-guarantees-and-practical-optimization-by-the-generalized-soft-min-penalty-2005.09021</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-trimmed-lasso-sparse-recovery-guarantees-and-practical-optimization-by-the-generalized-soft-min-penalty-2005.09021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-trimmed-lasso-sparse-recovery-guarantees-and-practical-optimization-by-the-generalized-soft-min-penalty-2005.09021"/></url>
<url><loc>https://scifaro.com/en/abs/effective-learning-of-a-gmrf-mixture-model-2005.09030</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-learning-of-a-gmrf-mixture-model-2005.09030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-learning-of-a-gmrf-mixture-model-2005.09030"/></url>
<url><loc>https://scifaro.com/en/abs/underestimation-bias-and-underfitting-in-machine-learning-2005.09052</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/underestimation-bias-and-underfitting-in-machine-learning-2005.09052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/underestimation-bias-and-underfitting-in-machine-learning-2005.09052"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-core-gpu-gradient-boosting-2005.09148</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-core-gpu-gradient-boosting-2005.09148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-core-gpu-gradient-boosting-2005.09148"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-validity-index-for-fuzzy-possibilistic-c-means-clustering-2005.09162</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-validity-index-for-fuzzy-possibilistic-c-means-clustering-2005.09162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-validity-index-for-fuzzy-possibilistic-c-means-clustering-2005.09162"/></url>
<url><loc>https://scifaro.com/en/abs/on-intrinsic-dataset-properties-for-adversarial-machine-learning-2005.09170</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-intrinsic-dataset-properties-for-adversarial-machine-learning-2005.09170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-intrinsic-dataset-properties-for-adversarial-machine-learning-2005.09170"/></url>
<url><loc>https://scifaro.com/en/abs/a-riemannian-primal-dual-algorithm-based-on-proximal-operator-and-its-application-in-metric-learning-2005.09194</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-riemannian-primal-dual-algorithm-based-on-proximal-operator-and-its-application-in-metric-learning-2005.09194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-riemannian-primal-dual-algorithm-based-on-proximal-operator-and-its-application-in-metric-learning-2005.09194"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-proximal-policy-optimization-2005.09195</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-proximal-policy-optimization-2005.09195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-proximal-policy-optimization-2005.09195"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-the-uncertainty-of-precision-estimates-for-rule-based-text-classifiers-2005.09198</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-the-uncertainty-of-precision-estimates-for-rule-based-text-classifiers-2005.09198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-the-uncertainty-of-precision-estimates-for-rule-based-text-classifiers-2005.09198"/></url>
<url><loc>https://scifaro.com/en/abs/fair-inputs-and-fair-outputs-the-incompatibility-of-fairness-in-privacy-and-accuracy-2005.09209</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-inputs-and-fair-outputs-the-incompatibility-of-fairness-in-privacy-and-accuracy-2005.09209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-inputs-and-fair-outputs-the-incompatibility-of-fairness-in-privacy-and-accuracy-2005.09209"/></url>
<url><loc>https://scifaro.com/en/abs/large-margin-mechanism-and-pseudo-query-set-on-cross-domain-few-shot-learning-2005.09218</loc><lastmod>2024-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-margin-mechanism-and-pseudo-query-set-on-cross-domain-few-shot-learning-2005.09218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-margin-mechanism-and-pseudo-query-set-on-cross-domain-few-shot-learning-2005.09218"/></url>
<url><loc>https://scifaro.com/en/abs/privileged-information-dropout-in-reinforcement-learning-2005.09220</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privileged-information-dropout-in-reinforcement-learning-2005.09220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privileged-information-dropout-in-reinforcement-learning-2005.09220"/></url>
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<url><loc>https://scifaro.com/en/abs/distilling-knowledge-from-ensembles-of-acoustic-models-for-joint-ctc-attention-end-to-end-speech-recognition-2005.09310</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilling-knowledge-from-ensembles-of-acoustic-models-for-joint-ctc-attention-end-to-end-speech-recognition-2005.09310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilling-knowledge-from-ensembles-of-acoustic-models-for-joint-ctc-attention-end-to-end-speech-recognition-2005.09310"/></url>
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<url><loc>https://scifaro.com/en/abs/quantum-classical-machine-learning-by-hybrid-tensor-networks-2005.09428</loc><lastmod>2024-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-classical-machine-learning-by-hybrid-tensor-networks-2005.09428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-classical-machine-learning-by-hybrid-tensor-networks-2005.09428"/></url>
<url><loc>https://scifaro.com/en/abs/a-cognitive-based-intrusion-detection-system-2005.09436</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-cognitive-based-intrusion-detection-system-2005.09436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-cognitive-based-intrusion-detection-system-2005.09436"/></url>
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<url><loc>https://scifaro.com/en/abs/k-sums-another-side-of-k-means-2005.09485</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-sums-another-side-of-k-means-2005.09485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-sums-another-side-of-k-means-2005.09485"/></url>
<url><loc>https://scifaro.com/en/abs/applying-genetic-programming-to-improve-interpretability-in-machine-learning-models-2005.09512</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-genetic-programming-to-improve-interpretability-in-machine-learning-models-2005.09512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-genetic-programming-to-improve-interpretability-in-machine-learning-models-2005.09512"/></url>
<url><loc>https://scifaro.com/en/abs/normalized-attention-without-probability-cage-2005.09561</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalized-attention-without-probability-cage-2005.09561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalized-attention-without-probability-cage-2005.09561"/></url>
<url><loc>https://scifaro.com/en/abs/batch-augmented-multi-agent-reinforcement-learning-for-efficient-traffic-signal-optimization-2005.09624</loc><lastmod>2020-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-augmented-multi-agent-reinforcement-learning-for-efficient-traffic-signal-optimization-2005.09624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-augmented-multi-agent-reinforcement-learning-for-efficient-traffic-signal-optimization-2005.09624"/></url>
<url><loc>https://scifaro.com/en/abs/one-size-fits-all-can-we-train-one-denoiser-for-all-noise-levels-2005.09627</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-size-fits-all-can-we-train-one-denoiser-for-all-noise-levels-2005.09627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-size-fits-all-can-we-train-one-denoiser-for-all-noise-levels-2005.09627"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-using-spectral-biased-random-walks-on-graphs-2005.09752</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-using-spectral-biased-random-walks-on-graphs-2005.09752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-using-spectral-biased-random-walks-on-graphs-2005.09752"/></url>
<url><loc>https://scifaro.com/en/abs/self-updating-models-with-error-remediation-2005.09787</loc><lastmod>2020-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-updating-models-with-error-remediation-2005.09787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-updating-models-with-error-remediation-2005.09787"/></url>
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<url><loc>https://scifaro.com/en/abs/p-norm-flow-diffusion-for-local-graph-clustering-2005.09810</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/p-norm-flow-diffusion-for-local-graph-clustering-2005.09810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/p-norm-flow-diffusion-for-local-graph-clustering-2005.09810"/></url>
<url><loc>https://scifaro.com/en/abs/mirror-descent-policy-optimization-2005.09814</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mirror-descent-policy-optimization-2005.09814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mirror-descent-policy-optimization-2005.09814"/></url>
<url><loc>https://scifaro.com/en/abs/best-arm-identification-in-spectral-bandits-2005.09841</loc><lastmod>2020-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-arm-identification-in-spectral-bandits-2005.09841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-arm-identification-in-spectral-bandits-2005.09841"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-meta-learning-framework-for-feature-selection-using-data-synthesis-and-fuzzy-similarity-2005.09856</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-meta-learning-framework-for-feature-selection-using-data-synthesis-and-fuzzy-similarity-2005.09856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-meta-learning-framework-for-feature-selection-using-data-synthesis-and-fuzzy-similarity-2005.09856"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-negative-sampling-in-graph-representation-learning-2005.09863</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-negative-sampling-in-graph-representation-learning-2005.09863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-negative-sampling-in-graph-representation-learning-2005.09863"/></url>
<url><loc>https://scifaro.com/en/abs/a-reinforcement-learning-based-decision-support-system-in-textile-manufacturing-process-2005.09867</loc><lastmod>2020-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reinforcement-learning-based-decision-support-system-in-textile-manufacturing-process-2005.09867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reinforcement-learning-based-decision-support-system-in-textile-manufacturing-process-2005.09867"/></url>
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<url><loc>https://scifaro.com/en/abs/fair-outlier-detection-2005.09900</loc><lastmod>2020-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-outlier-detection-2005.09900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-outlier-detection-2005.09900"/></url>
<url><loc>https://scifaro.com/en/abs/an-lstm-approach-to-forecast-migration-using-google-trends-2005.09902</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-lstm-approach-to-forecast-migration-using-google-trends-2005.09902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-lstm-approach-to-forecast-migration-using-google-trends-2005.09902"/></url>
<url><loc>https://scifaro.com/en/abs/biqgemm-matrix-multiplication-with-lookup-table-for-binary-coding-based-quantized-dnns-2005.09904</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biqgemm-matrix-multiplication-with-lookup-table-for-binary-coding-based-quantized-dnns-2005.09904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biqgemm-matrix-multiplication-with-lookup-table-for-binary-coding-based-quantized-dnns-2005.09904"/></url>
<url><loc>https://scifaro.com/en/abs/accounting-for-input-noise-in-gaussian-process-parameter-retrieval-2005.09907</loc><lastmod>2020-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accounting-for-input-noise-in-gaussian-process-parameter-retrieval-2005.09907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accounting-for-input-noise-in-gaussian-process-parameter-retrieval-2005.09907"/></url>
<url><loc>https://scifaro.com/en/abs/multitask-learning-with-single-gradient-step-update-for-task-balancing-2005.09910</loc><lastmod>2020-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multitask-learning-with-single-gradient-step-update-for-task-balancing-2005.09910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multitask-learning-with-single-gradient-step-update-for-task-balancing-2005.09910"/></url>
<url><loc>https://scifaro.com/en/abs/early-classification-of-time-series-cost-based-optimization-criterion-and-algorithms-2005.09945</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-classification-of-time-series-cost-based-optimization-criterion-and-algorithms-2005.09945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-classification-of-time-series-cost-based-optimization-criterion-and-algorithms-2005.09945"/></url>
<url><loc>https://scifaro.com/en/abs/hidden-markov-models-and-their-application-for-predicting-failure-events-2005.09971</loc><lastmod>2020-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hidden-markov-models-and-their-application-for-predicting-failure-events-2005.09971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hidden-markov-models-and-their-application-for-predicting-failure-events-2005.09971"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-the-storage-capacity-data-driven-satisfiability-transition-2005.09992</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-the-storage-capacity-data-driven-satisfiability-transition-2005.09992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-the-storage-capacity-data-driven-satisfiability-transition-2005.09992"/></url>
<url><loc>https://scifaro.com/en/abs/batch-decorrelation-for-active-metric-learning-2005.10008</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-decorrelation-for-active-metric-learning-2005.10008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-decorrelation-for-active-metric-learning-2005.10008"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-variable-selection-in-a-branch-and-bound-algorithm-2005.10026</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-variable-selection-in-a-branch-and-bound-algorithm-2005.10026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-variable-selection-in-a-branch-and-bound-algorithm-2005.10026"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-using-neural-networks-for-molecular-property-prediction-2005.10036</loc><lastmod>2020-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-using-neural-networks-for-molecular-property-prediction-2005.10036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-using-neural-networks-for-molecular-property-prediction-2005.10036"/></url>
<url><loc>https://scifaro.com/en/abs/the-effects-of-randomness-on-the-stability-of-node-embeddings-2005.10039</loc><lastmod>2025-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effects-of-randomness-on-the-stability-of-node-embeddings-2005.10039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effects-of-randomness-on-the-stability-of-node-embeddings-2005.10039"/></url>
<url><loc>https://scifaro.com/en/abs/risk-of-training-diagnostic-algorithms-on-data-with-demographic-bias-2005.10050</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-of-training-diagnostic-algorithms-on-data-with-demographic-bias-2005.10050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-of-training-diagnostic-algorithms-on-data-with-demographic-bias-2005.10050"/></url>
<url><loc>https://scifaro.com/en/abs/discover-accurate-efficient-discovery-of-declarative-process-models-2005.10085</loc><lastmod>2020-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discover-accurate-efficient-discovery-of-declarative-process-models-2005.10085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discover-accurate-efficient-discovery-of-declarative-process-models-2005.10085"/></url>
<url><loc>https://scifaro.com/en/abs/the-effectiveness-of-discretization-in-forecasting-an-empirical-study-on-neural-time-series-models-2005.10111</loc><lastmod>2020-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effectiveness-of-discretization-in-forecasting-an-empirical-study-on-neural-time-series-models-2005.10111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effectiveness-of-discretization-in-forecasting-an-empirical-study-on-neural-time-series-models-2005.10111"/></url>
<url><loc>https://scifaro.com/en/abs/network-on-network-for-tabular-data-classification-in-real-world-applications-2005.10114</loc><lastmod>2020-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-on-network-for-tabular-data-classification-in-real-world-applications-2005.10114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-on-network-for-tabular-data-classification-in-real-world-applications-2005.10114"/></url>
<url><loc>https://scifaro.com/en/abs/finite-sample-analysis-of-greedy-gq-with-linear-function-approximation-under-markovian-noise-2005.10175</loc><lastmod>2020-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-sample-analysis-of-greedy-gq-with-linear-function-approximation-under-markovian-noise-2005.10175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-sample-analysis-of-greedy-gq-with-linear-function-approximation-under-markovian-noise-2005.10175"/></url>
<url><loc>https://scifaro.com/en/abs/feature-purification-how-adversarial-training-performs-robust-deep-learning-2005.10190</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-purification-how-adversarial-training-performs-robust-deep-learning-2005.10190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-purification-how-adversarial-training-performs-robust-deep-learning-2005.10190"/></url>
<url><loc>https://scifaro.com/en/abs/graph-structure-learning-for-robust-graph-neural-networks-2005.10203</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-structure-learning-for-robust-graph-neural-networks-2005.10203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-structure-learning-for-robust-graph-neural-networks-2005.10203"/></url>
<url><loc>https://scifaro.com/en/abs/a-metric-learning-approach-to-anomaly-detection-in-video-games-2005.10211</loc><lastmod>2020-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-metric-learning-approach-to-anomaly-detection-in-video-games-2005.10211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-metric-learning-approach-to-anomaly-detection-in-video-games-2005.10211"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-contrastive-representation-learning-through-alignment-and-uniformity-on-the-hypersphere-2005.10242</loc><lastmod>2022-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-contrastive-representation-learning-through-alignment-and-uniformity-on-the-hypersphere-2005.10242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-contrastive-representation-learning-through-alignment-and-uniformity-on-the-hypersphere-2005.10242"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-robust-deep-learning-generalizing-to-natural-out-of-distribution-data-2005.10247</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-robust-deep-learning-generalizing-to-natural-out-of-distribution-data-2005.10247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-robust-deep-learning-generalizing-to-natural-out-of-distribution-data-2005.10247"/></url>
<url><loc>https://scifaro.com/en/abs/an-adversarial-approach-for-explaining-the-predictions-of-deep-neural-networks-2005.10284</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adversarial-approach-for-explaining-the-predictions-of-deep-neural-networks-2005.10284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adversarial-approach-for-explaining-the-predictions-of-deep-neural-networks-2005.10284"/></url>
<url><loc>https://scifaro.com/en/abs/consensus-driven-learning-2005.10300</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consensus-driven-learning-2005.10300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consensus-driven-learning-2005.10300"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-learning-with-artificial-hydrocarbon-networks-an-open-source-implementation-and-its-applications-2005.10348</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-learning-with-artificial-hydrocarbon-networks-an-open-source-implementation-and-its-applications-2005.10348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-learning-with-artificial-hydrocarbon-networks-an-open-source-implementation-and-its-applications-2005.10348"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-canonical-correlation-analysis-2005.10349</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-canonical-correlation-analysis-2005.10349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-canonical-correlation-analysis-2005.10349"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-high-level-character-control-2005.10391</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-high-level-character-control-2005.10391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-high-level-character-control-2005.10391"/></url>
<url><loc>https://scifaro.com/en/abs/studying-product-competition-using-representation-learning-2005.10402</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/studying-product-competition-using-representation-learning-2005.10402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/studying-product-competition-using-representation-learning-2005.10402"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-transfer-dynamic-models-of-underactuated-soft-robotic-hands-2005.10418</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-transfer-dynamic-models-of-underactuated-soft-robotic-hands-2005.10418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-transfer-dynamic-models-of-underactuated-soft-robotic-hands-2005.10418"/></url>
<url><loc>https://scifaro.com/en/abs/why-distillation-helps-a-statistical-perspective-2005.10419</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-distillation-helps-a-statistical-perspective-2005.10419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-distillation-helps-a-statistical-perspective-2005.10419"/></url>
<url><loc>https://scifaro.com/en/abs/cpot-channel-pruning-via-optimal-transport-2005.10451</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cpot-channel-pruning-via-optimal-transport-2005.10451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cpot-channel-pruning-via-optimal-transport-2005.10451"/></url>
<url><loc>https://scifaro.com/en/abs/pairwise-supervised-hashing-with-bernoulli-variational-auto-encoder-and-self-control-gradient-estimator-2005.10477</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pairwise-supervised-hashing-with-bernoulli-variational-auto-encoder-and-self-control-gradient-estimator-2005.10477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pairwise-supervised-hashing-with-bernoulli-variational-auto-encoder-and-self-control-gradient-estimator-2005.10477"/></url>
<url><loc>https://scifaro.com/en/abs/an-analysis-on-the-use-of-autoencoders-for-representation-learning-fundamentals-learning-task-case-studies-explainability-and-challenges-2005.10516</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analysis-on-the-use-of-autoencoders-for-representation-learning-fundamentals-learning-task-case-studies-explainability-and-challenges-2005.10516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analysis-on-the-use-of-autoencoders-for-representation-learning-fundamentals-learning-task-case-studies-explainability-and-challenges-2005.10516"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-learning-in-the-presence-of-concept-drift-a-modelling-framework-2005.10531</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-learning-in-the-presence-of-concept-drift-a-modelling-framework-2005.10531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-learning-in-the-presence-of-concept-drift-a-modelling-framework-2005.10531"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-learning-for-remote-electrical-tilt-optimization-2005.10577</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-learning-for-remote-electrical-tilt-optimization-2005.10577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-learning-for-remote-electrical-tilt-optimization-2005.10577"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-based-multi-fidelity-physics-informed-deep-neural-network-2005.10614</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-based-multi-fidelity-physics-informed-deep-neural-network-2005.10614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-based-multi-fidelity-physics-informed-deep-neural-network-2005.10614"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-convergence-for-counterfactual-learning-to-rank-2005.10615</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-convergence-for-counterfactual-learning-to-rank-2005.10615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-convergence-for-counterfactual-learning-to-rank-2005.10615"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-reinforcement-learning-algorithms-for-dynamically-varying-environments-2005.10619</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-reinforcement-learning-algorithms-for-dynamically-varying-environments-2005.10619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-reinforcement-learning-algorithms-for-dynamically-varying-environments-2005.10619"/></url>
<url><loc>https://scifaro.com/en/abs/triple-gail-a-multi-modal-imitation-learning-framework-with-generative-adversarial-nets-2005.10622</loc><lastmod>2020-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/triple-gail-a-multi-modal-imitation-learning-framework-with-generative-adversarial-nets-2005.10622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/triple-gail-a-multi-modal-imitation-learning-framework-with-generative-adversarial-nets-2005.10622"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-algorithm-almost-dominates-in-smoothed-contextual-bandits-2005.10624</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-algorithm-almost-dominates-in-smoothed-contextual-bandits-2005.10624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-algorithm-almost-dominates-in-smoothed-contextual-bandits-2005.10624"/></url>
<url><loc>https://scifaro.com/en/abs/extreme-theory-of-functional-connections-a-physics-informed-neural-network-method-for-solving-parametric-differential-equations-2005.10632</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extreme-theory-of-functional-connections-a-physics-informed-neural-network-method-for-solving-parametric-differential-equations-2005.10632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extreme-theory-of-functional-connections-a-physics-informed-neural-network-method-for-solving-parametric-differential-equations-2005.10632"/></url>
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<url><loc>https://scifaro.com/en/abs/nonlinear-regression-analysis-using-multi-verse-optimizer-2005.10642</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-regression-analysis-using-multi-verse-optimizer-2005.10642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-regression-analysis-using-multi-verse-optimizer-2005.10642"/></url>
<url><loc>https://scifaro.com/en/abs/an-analysis-of-regularized-approaches-for-constrained-machine-learning-2005.10674</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analysis-of-regularized-approaches-for-constrained-machine-learning-2005.10674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analysis-of-regularized-approaches-for-constrained-machine-learning-2005.10674"/></url>
<url><loc>https://scifaro.com/en/abs/improving-deep-learning-models-via-constraint-based-domain-knowledge-a-brief-survey-2005.10691</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-deep-learning-models-via-constraint-based-domain-knowledge-a-brief-survey-2005.10691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-deep-learning-models-via-constraint-based-domain-knowledge-a-brief-survey-2005.10691"/></url>
<url><loc>https://scifaro.com/en/abs/neural-odes-for-informative-missingness-in-multivariate-time-series-2005.10693</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-odes-for-informative-missingness-in-multivariate-time-series-2005.10693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-odes-for-informative-missingness-in-multivariate-time-series-2005.10693"/></url>
<url><loc>https://scifaro.com/en/abs/novel-policy-seeking-with-constrained-optimization-2005.10696</loc><lastmod>2022-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novel-policy-seeking-with-constrained-optimization-2005.10696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novel-policy-seeking-with-constrained-optimization-2005.10696"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-learn-from-others-transfer-machine-learning-with-additive-regression-models-to-improve-sales-forecasting-2005.10698</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-learn-from-others-transfer-machine-learning-with-additive-regression-models-to-improve-sales-forecasting-2005.10698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-learn-from-others-transfer-machine-learning-with-additive-regression-models-to-improve-sales-forecasting-2005.10698"/></url>
<url><loc>https://scifaro.com/en/abs/distance-based-positive-and-unlabeled-learning-for-ranking-2005.10700</loc><lastmod>2022-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-based-positive-and-unlabeled-learning-for-ranking-2005.10700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-based-positive-and-unlabeled-learning-for-ranking-2005.10700"/></url>
<url><loc>https://scifaro.com/en/abs/taso-time-and-space-optimization-for-memory-constrained-dnn-inference-2005.10709</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taso-time-and-space-optimization-for-memory-constrained-dnn-inference-2005.10709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taso-time-and-space-optimization-for-memory-constrained-dnn-inference-2005.10709"/></url>
<url><loc>https://scifaro.com/en/abs/rtop-k-a-statistical-estimation-approach-to-distributed-sgd-2005.10761</loc><lastmod>2020-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rtop-k-a-statistical-estimation-approach-to-distributed-sgd-2005.10761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rtop-k-a-statistical-estimation-approach-to-distributed-sgd-2005.10761"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-locality-of-the-natural-gradient-for-deep-learning-2005.10791</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-locality-of-the-natural-gradient-for-deep-learning-2005.10791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-locality-of-the-natural-gradient-for-deep-learning-2005.10791"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-general-value-function-approximation-provably-efficient-approach-via-bounded-eluder-dimension-2005.10804</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-general-value-function-approximation-provably-efficient-approach-via-bounded-eluder-dimension-2005.10804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-general-value-function-approximation-provably-efficient-approach-via-bounded-eluder-dimension-2005.10804"/></url>
<url><loc>https://scifaro.com/en/abs/can-shallow-neural-networks-beat-the-curse-of-dimensionality-a-mean-field-training-perspective-2005.10815</loc><lastmod>2020-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-shallow-neural-networks-beat-the-curse-of-dimensionality-a-mean-field-training-perspective-2005.10815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-shallow-neural-networks-beat-the-curse-of-dimensionality-a-mean-field-training-perspective-2005.10815"/></url>
<url><loc>https://scifaro.com/en/abs/global-multiclass-classification-and-dataset-construction-via-heterogeneous-local-experts-2005.10848</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-multiclass-classification-and-dataset-construction-via-heterogeneous-local-experts-2005.10848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-multiclass-classification-and-dataset-construction-via-heterogeneous-local-experts-2005.10848"/></url>
<url><loc>https://scifaro.com/en/abs/conditionally-deep-hybrid-neural-networks-across-edge-and-cloud-2005.10851</loc><lastmod>2020-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditionally-deep-hybrid-neural-networks-across-edge-and-cloud-2005.10851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditionally-deep-hybrid-neural-networks-across-edge-and-cloud-2005.10851"/></url>
<url><loc>https://scifaro.com/en/abs/cheer-rich-model-helps-poor-model-via-knowledge-infusion-2005.10918</loc><lastmod>2020-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cheer-rich-model-helps-poor-model-via-knowledge-infusion-2005.10918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cheer-rich-model-helps-poor-model-via-knowledge-infusion-2005.10918"/></url>
<url><loc>https://scifaro.com/en/abs/a-concise-review-of-recent-few-shot-meta-learning-methods-2005.10953</loc><lastmod>2020-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-concise-review-of-recent-few-shot-meta-learning-methods-2005.10953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-concise-review-of-recent-few-shot-meta-learning-methods-2005.10953"/></url>
<url><loc>https://scifaro.com/en/abs/a-complex-kbqa-system-using-multiple-reasoning-paths-2005.10970</loc><lastmod>2020-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-complex-kbqa-system-using-multiple-reasoning-paths-2005.10970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-complex-kbqa-system-using-multiple-reasoning-paths-2005.10970"/></url>
<url><loc>https://scifaro.com/en/abs/multi-source-deep-domain-adaptation-with-weak-supervision-for-time-series-sensor-data-2005.10996</loc><lastmod>2020-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-source-deep-domain-adaptation-with-weak-supervision-for-time-series-sensor-data-2005.10996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-source-deep-domain-adaptation-with-weak-supervision-for-time-series-sensor-data-2005.10996"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-the-case-when-unlabeled-data-is-equally-useful-2005.11018</loc><lastmod>2023-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-the-case-when-unlabeled-data-is-equally-useful-2005.11018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-the-case-when-unlabeled-data-is-equally-useful-2005.11018"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-frequent-gradual-itemsets-with-imprecise-data-2005.11045</loc><lastmod>2020-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-frequent-gradual-itemsets-with-imprecise-data-2005.11045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-frequent-gradual-itemsets-with-imprecise-data-2005.11045"/></url>
<url><loc>https://scifaro.com/en/abs/online-non-convex-learning-for-river-pollution-source-identification-2005.11065</loc><lastmod>2022-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-non-convex-learning-for-river-pollution-source-identification-2005.11065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-non-convex-learning-for-river-pollution-source-identification-2005.11065"/></url>
<url><loc>https://scifaro.com/en/abs/an-introduction-to-neural-architecture-search-for-convolutional-networks-2005.11074</loc><lastmod>2020-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-introduction-to-neural-architecture-search-for-convolutional-networks-2005.11074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-introduction-to-neural-architecture-search-for-convolutional-networks-2005.11074"/></url>
<url><loc>https://scifaro.com/en/abs/graph-random-neural-network-for-semi-supervised-learning-on-graphs-2005.11079</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-random-neural-network-for-semi-supervised-learning-on-graphs-2005.11079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-random-neural-network-for-semi-supervised-learning-on-graphs-2005.11079"/></url>
<url><loc>https://scifaro.com/en/abs/learning-combinatorial-optimization-on-graphs-a-survey-with-applications-to-networking-2005.11081</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-combinatorial-optimization-on-graphs-a-survey-with-applications-to-networking-2005.11081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-combinatorial-optimization-on-graphs-a-survey-with-applications-to-networking-2005.11081"/></url>
<url><loc>https://scifaro.com/en/abs/parsimonious-neural-networks-learn-interpretable-physical-laws-2005.11144</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parsimonious-neural-networks-learn-interpretable-physical-laws-2005.11144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parsimonious-neural-networks-learn-interpretable-physical-laws-2005.11144"/></url>
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<url><loc>https://scifaro.com/en/abs/accelerating-antimicrobial-discovery-with-controllable-deep-generative-models-and-molecular-dynamics-2005.11248</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-antimicrobial-discovery-with-controllable-deep-generative-models-and-molecular-dynamics-2005.11248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-antimicrobial-discovery-with-controllable-deep-generative-models-and-molecular-dynamics-2005.11248"/></url>
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<url><loc>https://scifaro.com/en/abs/prunenet-channel-pruning-via-global-importance-2005.11282</loc><lastmod>2020-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prunenet-channel-pruning-via-global-importance-2005.11282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prunenet-channel-pruning-via-global-importance-2005.11282"/></url>
<url><loc>https://scifaro.com/en/abs/neural-bipartite-matching-2005.11304</loc><lastmod>2024-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-bipartite-matching-2005.11304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-bipartite-matching-2005.11304"/></url>
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<url><loc>https://scifaro.com/en/abs/a-tree-architecture-of-lstm-networks-for-sequential-regression-with-missing-data-2005.11353</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tree-architecture-of-lstm-networks-for-sequential-regression-with-missing-data-2005.11353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tree-architecture-of-lstm-networks-for-sequential-regression-with-missing-data-2005.11353"/></url>
<url><loc>https://scifaro.com/en/abs/mango-a-python-library-for-parallel-hyperparameter-tuning-2005.11394</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mango-a-python-library-for-parallel-hyperparameter-tuning-2005.11394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mango-a-python-library-for-parallel-hyperparameter-tuning-2005.11394"/></url>
<url><loc>https://scifaro.com/en/abs/instability-computational-efficiency-and-statistical-accuracy-2005.11411</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instability-computational-efficiency-and-statistical-accuracy-2005.11411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instability-computational-efficiency-and-statistical-accuracy-2005.11411"/></url>
<url><loc>https://scifaro.com/en/abs/fedpd-a-federated-learning-framework-with-optimal-rates-and-adaptivity-to-non-iid-data-2005.11418</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedpd-a-federated-learning-framework-with-optimal-rates-and-adaptivity-to-non-iid-data-2005.11418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedpd-a-federated-learning-framework-with-optimal-rates-and-adaptivity-to-non-iid-data-2005.11418"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-skewed-data-sets-2005.11442</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-skewed-data-sets-2005.11442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-skewed-data-sets-2005.11442"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-load-forecasting-based-on-hybrid-strategy-using-warm-start-gradient-tree-boosting-2005.11478</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-load-forecasting-based-on-hybrid-strategy-using-warm-start-gradient-tree-boosting-2005.11478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-load-forecasting-based-on-hybrid-strategy-using-warm-start-gradient-tree-boosting-2005.11478"/></url>
<url><loc>https://scifaro.com/en/abs/tiprdc-task-independent-privacy-respecting-data-crowdsourcing-framework-for-deep-learning-with-anonymized-intermediate-representations-2005.11480</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tiprdc-task-independent-privacy-respecting-data-crowdsourcing-framework-for-deep-learning-with-anonymized-intermediate-representations-2005.11480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tiprdc-task-independent-privacy-respecting-data-crowdsourcing-framework-for-deep-learning-with-anonymized-intermediate-representations-2005.11480"/></url>
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<url><loc>https://scifaro.com/en/abs/a-novel-confidence-based-algorithm-for-structured-bandits-2005.11593</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-confidence-based-algorithm-for-structured-bandits-2005.11593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-confidence-based-algorithm-for-structured-bandits-2005.11593"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-neural-networks-at-scale-a-performance-analysis-and-pruning-study-2005.11619</loc><lastmod>2020-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-neural-networks-at-scale-a-performance-analysis-and-pruning-study-2005.11619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-neural-networks-at-scale-a-performance-analysis-and-pruning-study-2005.11619"/></url>
<url><loc>https://scifaro.com/en/abs/stacked-bidirectional-and-unidirectional-lstm-recurrent-neural-network-for-forecasting-network-wide-traffic-state-with-missing-values-2005.11627</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stacked-bidirectional-and-unidirectional-lstm-recurrent-neural-network-for-forecasting-network-wide-traffic-state-with-missing-values-2005.11627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stacked-bidirectional-and-unidirectional-lstm-recurrent-neural-network-for-forecasting-network-wide-traffic-state-with-missing-values-2005.11627"/></url>
<url><loc>https://scifaro.com/en/abs/joint-learning-of-interpretation-and-distillation-2005.11638</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-learning-of-interpretation-and-distillation-2005.11638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-learning-of-interpretation-and-distillation-2005.11638"/></url>
<url><loc>https://scifaro.com/en/abs/connecting-the-dots-multivariate-time-series-forecasting-with-graph-neural-networks-2005.11650</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/connecting-the-dots-multivariate-time-series-forecasting-with-graph-neural-networks-2005.11650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/connecting-the-dots-multivariate-time-series-forecasting-with-graph-neural-networks-2005.11650"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-active-learning-for-domain-adaptation-2005.11653</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-active-learning-for-domain-adaptation-2005.11653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-active-learning-for-domain-adaptation-2005.11653"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-alignment-and-generation-in-cca-via-consistent-latent-encoding-2005.11716</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-alignment-and-generation-in-cca-via-consistent-latent-encoding-2005.11716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-alignment-and-generation-in-cca-via-consistent-latent-encoding-2005.11716"/></url>
<url><loc>https://scifaro.com/en/abs/projection-to-fairness-in-statistical-learning-2005.11720</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projection-to-fairness-in-statistical-learning-2005.11720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projection-to-fairness-in-statistical-learning-2005.11720"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-discovery-of-interpretable-planning-strategies-2005.11730</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-discovery-of-interpretable-planning-strategies-2005.11730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-discovery-of-interpretable-planning-strategies-2005.11730"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-intervention-design-for-causal-discovery-with-latents-2005.11736</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-intervention-design-for-causal-discovery-with-latents-2005.11736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-intervention-design-for-causal-discovery-with-latents-2005.11736"/></url>
<url><loc>https://scifaro.com/en/abs/reliability-and-performance-assessment-of-federated-learning-on-clinical-benchmark-data-2005.11756</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliability-and-performance-assessment-of-federated-learning-on-clinical-benchmark-data-2005.11756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliability-and-performance-assessment-of-federated-learning-on-clinical-benchmark-data-2005.11756"/></url>
<url><loc>https://scifaro.com/en/abs/functional-space-variational-inference-for-uncertainty-estimation-in-computer-aided-diagnosis-2005.11797</loc><lastmod>2020-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-space-variational-inference-for-uncertainty-estimation-in-computer-aided-diagnosis-2005.11797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-space-variational-inference-for-uncertainty-estimation-in-computer-aided-diagnosis-2005.11797"/></url>
<url><loc>https://scifaro.com/en/abs/proper-learning-helly-number-and-an-optimal-svm-bound-2005.11818</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proper-learning-helly-number-and-an-optimal-svm-bound-2005.11818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proper-learning-helly-number-and-an-optimal-svm-bound-2005.11818"/></url>
<url><loc>https://scifaro.com/en/abs/fractional-moment-preserving-initialization-schemes-for-training-deep-neural-networks-2005.11878</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fractional-moment-preserving-initialization-schemes-for-training-deep-neural-networks-2005.11878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fractional-moment-preserving-initialization-schemes-for-training-deep-neural-networks-2005.11878"/></url>
<url><loc>https://scifaro.com/en/abs/vertically-federated-graph-neural-network-for-privacy-preserving-node-classification-2005.11903</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vertically-federated-graph-neural-network-for-privacy-preserving-node-classification-2005.11903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vertically-federated-graph-neural-network-for-privacy-preserving-node-classification-2005.11903"/></url>
<url><loc>https://scifaro.com/en/abs/deep-tensor-cca-for-multi-view-learning-2005.11914</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-tensor-cca-for-multi-view-learning-2005.11914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-tensor-cca-for-multi-view-learning-2005.11914"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-inspired-deep-learning-based-semi-supervised-domain-adaptation-technique-for-land-cover-mapping-2005.11930</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-inspired-deep-learning-based-semi-supervised-domain-adaptation-technique-for-land-cover-mapping-2005.11930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-inspired-deep-learning-based-semi-supervised-domain-adaptation-technique-for-land-cover-mapping-2005.11930"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-in-shift-invariant-spaces-with-deep-relu-neural-networks-2005.11949</loc><lastmod>2023-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-in-shift-invariant-spaces-with-deep-relu-neural-networks-2005.11949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-in-shift-invariant-spaces-with-deep-relu-neural-networks-2005.11949"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-first-order-methods-by-shifting-objective-new-schemes-with-faster-worst-case-rates-2005.12061</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-first-order-methods-by-shifting-objective-new-schemes-with-faster-worst-case-rates-2005.12061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-first-order-methods-by-shifting-objective-new-schemes-with-faster-worst-case-rates-2005.12061"/></url>
<url><loc>https://scifaro.com/en/abs/policy-entropy-for-out-of-distribution-classification-2005.12069</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-entropy-for-out-of-distribution-classification-2005.12069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-entropy-for-out-of-distribution-classification-2005.12069"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-monitored-reinforcement-learning-2005.12108</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-monitored-reinforcement-learning-2005.12108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-monitored-reinforcement-learning-2005.12108"/></url>
<url><loc>https://scifaro.com/en/abs/nenet-an-edge-learnable-network-for-link-prediction-in-scene-text-2005.12147</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nenet-an-edge-learnable-network-for-link-prediction-in-scene-text-2005.12147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nenet-an-edge-learnable-network-for-link-prediction-in-scene-text-2005.12147"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-feature-selection-against-evasion-attacks-2005.12154</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-feature-selection-against-evasion-attacks-2005.12154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-feature-selection-against-evasion-attacks-2005.12154"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-real-time-personalization-in-human-activity-recognition-using-domain-adaptive-batch-normalization-2005.12178</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-real-time-personalization-in-human-activity-recognition-using-domain-adaptive-batch-normalization-2005.12178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-real-time-personalization-in-human-activity-recognition-using-domain-adaptive-batch-normalization-2005.12178"/></url>
<url><loc>https://scifaro.com/en/abs/thermodynamics-based-artificial-neural-networks-for-constitutive-modeling-2005.12183</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thermodynamics-based-artificial-neural-networks-for-constitutive-modeling-2005.12183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thermodynamics-based-artificial-neural-networks-for-constitutive-modeling-2005.12183"/></url>
<url><loc>https://scifaro.com/en/abs/learnability-of-timescale-graphical-event-models-2005.12186</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learnability-of-timescale-graphical-event-models-2005.12186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learnability-of-timescale-graphical-event-models-2005.12186"/></url>
<url><loc>https://scifaro.com/en/abs/feature-statistics-guided-efficient-filter-pruning-2005.12193</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-statistics-guided-efficient-filter-pruning-2005.12193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-statistics-guided-efficient-filter-pruning-2005.12193"/></url>
<url><loc>https://scifaro.com/en/abs/generator-and-critic-a-deep-reinforcement-learning-approach-for-slate-re-ranking-in-e-commerce-2005.12206</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generator-and-critic-a-deep-reinforcement-learning-approach-for-slate-re-ranking-in-e-commerce-2005.12206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generator-and-critic-a-deep-reinforcement-learning-approach-for-slate-re-ranking-in-e-commerce-2005.12206"/></url>
<url><loc>https://scifaro.com/en/abs/attention-based-neural-bag-of-features-learning-for-sequence-data-2005.12250</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-based-neural-bag-of-features-learning-for-sequence-data-2005.12250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-based-neural-bag-of-features-learning-for-sequence-data-2005.12250"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-value-estimation-for-single-task-multi-scene-reinforcement-learning-2005.12254</loc><lastmod>2020-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-value-estimation-for-single-task-multi-scene-reinforcement-learning-2005.12254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-value-estimation-for-single-task-multi-scene-reinforcement-learning-2005.12254"/></url>
<url><loc>https://scifaro.com/en/abs/principal-component-analysis-based-on-t-ell-1-norm-maximization-2005.12263</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principal-component-analysis-based-on-t-ell-1-norm-maximization-2005.12263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principal-component-analysis-based-on-t-ell-1-norm-maximization-2005.12263"/></url>
<url><loc>https://scifaro.com/en/abs/towards-efficient-scheduling-of-federated-mobile-devices-under-computational-and-statistical-heterogeneity-2005.12326</loc><lastmod>2020-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-efficient-scheduling-of-federated-mobile-devices-under-computational-and-statistical-heterogeneity-2005.12326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-efficient-scheduling-of-federated-mobile-devices-under-computational-and-statistical-heterogeneity-2005.12326"/></url>
<url><loc>https://scifaro.com/en/abs/incidental-supervision-moving-beyond-supervised-learning-2005.12339</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incidental-supervision-moving-beyond-supervised-learning-2005.12339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incidental-supervision-moving-beyond-supervised-learning-2005.12339"/></url>
<url><loc>https://scifaro.com/en/abs/path-imputation-strategies-for-signature-models-of-irregular-time-series-2005.12359</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/path-imputation-strategies-for-signature-models-of-irregular-time-series-2005.12359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/path-imputation-strategies-for-signature-models-of-irregular-time-series-2005.12359"/></url>
<url><loc>https://scifaro.com/en/abs/do-the-machine-learning-models-on-a-crowd-sourced-platform-exhibit-bias-an-empirical-study-on-model-fairness-2005.12379</loc><lastmod>2020-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-the-machine-learning-models-on-a-crowd-sourced-platform-exhibit-bias-an-empirical-study-on-model-fairness-2005.12379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-the-machine-learning-models-on-a-crowd-sourced-platform-exhibit-bias-an-empirical-study-on-model-fairness-2005.12379"/></url>
<url><loc>https://scifaro.com/en/abs/customized-graph-neural-networks-2005.12386</loc><lastmod>2021-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/customized-graph-neural-networks-2005.12386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/customized-graph-neural-networks-2005.12386"/></url>
<url><loc>https://scifaro.com/en/abs/meta-reinforcement-learning-for-trajectory-design-in-wireless-uav-networks-2005.12394</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-reinforcement-learning-for-trajectory-design-in-wireless-uav-networks-2005.12394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-reinforcement-learning-for-trajectory-design-in-wireless-uav-networks-2005.12394"/></url>
<url><loc>https://scifaro.com/en/abs/wind-speed-prediction-and-visualization-using-long-short-term-memory-networks-lstm-2005.12401</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wind-speed-prediction-and-visualization-using-long-short-term-memory-networks-lstm-2005.12401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wind-speed-prediction-and-visualization-using-long-short-term-memory-networks-lstm-2005.12401"/></url>
<url><loc>https://scifaro.com/en/abs/network-comparison-with-interpretable-contrastive-network-representation-learning-2005.12419</loc><lastmod>2022-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-comparison-with-interpretable-contrastive-network-representation-learning-2005.12419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-comparison-with-interpretable-contrastive-network-representation-learning-2005.12419"/></url>
<url><loc>https://scifaro.com/en/abs/qdkt-question-centric-deep-knowledge-tracing-2005.12442</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qdkt-question-centric-deep-knowledge-tracing-2005.12442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qdkt-question-centric-deep-knowledge-tracing-2005.12442"/></url>
<url><loc>https://scifaro.com/en/abs/the-best-way-to-select-features-2005.12483</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-best-way-to-select-features-2005.12483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-best-way-to-select-features-2005.12483"/></url>
<url><loc>https://scifaro.com/en/abs/is-deeper-better-it-depends-on-locality-of-relevant-features-2005.12488</loc><lastmod>2021-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-deeper-better-it-depends-on-locality-of-relevant-features-2005.12488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-deeper-better-it-depends-on-locality-of-relevant-features-2005.12488"/></url>
<url><loc>https://scifaro.com/en/abs/crude-calibrating-regression-uncertainty-distributions-empirically-2005.12496</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crude-calibrating-regression-uncertainty-distributions-empirically-2005.12496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crude-calibrating-regression-uncertainty-distributions-empirically-2005.12496"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-accuracy-of-deep-learning-algorithms-by-training-with-low-discrepancy-sequences-2005.12564</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-accuracy-of-deep-learning-algorithms-by-training-with-low-discrepancy-sequences-2005.12564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-accuracy-of-deep-learning-algorithms-by-training-with-low-discrepancy-sequences-2005.12564"/></url>
<url><loc>https://scifaro.com/en/abs/memory-efficient-sampling-for-minimax-distance-measures-2005.12627</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-efficient-sampling-for-minimax-distance-measures-2005.12627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-efficient-sampling-for-minimax-distance-measures-2005.12627"/></url>
<url><loc>https://scifaro.com/en/abs/continual-local-training-for-better-initialization-of-federated-models-2005.12657</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-local-training-for-better-initialization-of-federated-models-2005.12657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-local-training-for-better-initialization-of-federated-models-2005.12657"/></url>
<url><loc>https://scifaro.com/en/abs/implementation-matters-in-deep-policy-gradients-a-case-study-on-ppo-and-trpo-2005.12729</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementation-matters-in-deep-policy-gradients-a-case-study-on-ppo-and-trpo-2005.12729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementation-matters-in-deep-policy-gradients-a-case-study-on-ppo-and-trpo-2005.12729"/></url>
<url><loc>https://scifaro.com/en/abs/inherent-noise-in-gradient-based-methods-2005.12743</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inherent-noise-in-gradient-based-methods-2005.12743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inherent-noise-in-gradient-based-methods-2005.12743"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-grow-a-product-tree-personalized-category-suggestions-for-ecommerce-type-ahead-2005.12781</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-grow-a-product-tree-personalized-category-suggestions-for-ecommerce-type-ahead-2005.12781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-grow-a-product-tree-personalized-category-suggestions-for-ecommerce-type-ahead-2005.12781"/></url>
<url><loc>https://scifaro.com/en/abs/a-protection-against-the-extraction-of-neural-network-models-2005.12782</loc><lastmod>2020-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-protection-against-the-extraction-of-neural-network-models-2005.12782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-protection-against-the-extraction-of-neural-network-models-2005.12782"/></url>
<url><loc>https://scifaro.com/en/abs/towards-analogy-based-explanations-in-machine-learning-2005.12800</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-analogy-based-explanations-in-machine-learning-2005.12800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-analogy-based-explanations-in-machine-learning-2005.12800"/></url>
<url><loc>https://scifaro.com/en/abs/active-imitation-learning-with-noisy-guidance-2005.12801</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-imitation-learning-with-noisy-guidance-2005.12801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-imitation-learning-with-noisy-guidance-2005.12801"/></url>
<url><loc>https://scifaro.com/en/abs/local-motion-planner-for-autonomous-navigation-in-vineyards-with-a-rgb-d-camera-based-algorithm-and-deep-learning-synergy-2005.12815</loc><lastmod>2020-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-motion-planner-for-autonomous-navigation-in-vineyards-with-a-rgb-d-camera-based-algorithm-and-deep-learning-synergy-2005.12815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-motion-planner-for-autonomous-navigation-in-vineyards-with-a-rgb-d-camera-based-algorithm-and-deep-learning-synergy-2005.12815"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-schemes-for-relu-regression-2005.12844</loc><lastmod>2020-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-schemes-for-relu-regression-2005.12844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-schemes-for-relu-regression-2005.12844"/></url>
<url><loc>https://scifaro.com/en/abs/time-variant-variational-transfer-for-value-functions-2005.12864</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-variant-variational-transfer-for-value-functions-2005.12864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-variant-variational-transfer-for-value-functions-2005.12864"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-the-sample-size-barrier-in-model-based-reinforcement-learning-with-a-generative-model-2005.12900</loc><lastmod>2025-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-the-sample-size-barrier-in-model-based-reinforcement-learning-with-a-generative-model-2005.12900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-the-sample-size-barrier-in-model-based-reinforcement-learning-with-a-generative-model-2005.12900"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-behavioral-biometric-authentication-using-deep-metric-learning-on-mobile-devices-2005.12901</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-behavioral-biometric-authentication-using-deep-metric-learning-on-mobile-devices-2005.12901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-behavioral-biometric-authentication-using-deep-metric-learning-on-mobile-devices-2005.12901"/></url>
<url><loc>https://scifaro.com/en/abs/towards-intervention-centric-causal-reasoning-in-learning-agents-2005.12968</loc><lastmod>2020-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-intervention-centric-causal-reasoning-in-learning-agents-2005.12968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-intervention-centric-causal-reasoning-in-learning-agents-2005.12968"/></url>
<url><loc>https://scifaro.com/en/abs/skew-gaussian-processes-for-classification-2005.12987</loc><lastmod>2020-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skew-gaussian-processes-for-classification-2005.12987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skew-gaussian-processes-for-classification-2005.12987"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-self-attention-in-deep-multiple-instance-learning-2005.12991</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-self-attention-in-deep-multiple-instance-learning-2005.12991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-self-attention-in-deep-multiple-instance-learning-2005.12991"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-solution-of-chaotic-dynamical-system-inverse-problems-using-bayesian-artificial-neural-networks-2005.13028</loc><lastmod>2020-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-solution-of-chaotic-dynamical-system-inverse-problems-using-bayesian-artificial-neural-networks-2005.13028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-solution-of-chaotic-dynamical-system-inverse-problems-using-bayesian-artificial-neural-networks-2005.13028"/></url>
<url><loc>https://scifaro.com/en/abs/instance-explainable-temporal-network-for-multivariate-timeseries-2005.13037</loc><lastmod>2020-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-explainable-temporal-network-for-multivariate-timeseries-2005.13037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-explainable-temporal-network-for-multivariate-timeseries-2005.13037"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-recurrent-neural-network-architectures-for-wildfire-spread-modelling-2005.13040</loc><lastmod>2020-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-recurrent-neural-network-architectures-for-wildfire-spread-modelling-2005.13040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-recurrent-neural-network-architectures-for-wildfire-spread-modelling-2005.13040"/></url>
<url><loc>https://scifaro.com/en/abs/synthetic-petri-dish-a-novel-surrogate-model-for-rapid-architecture-search-2005.13092</loc><lastmod>2020-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthetic-petri-dish-a-novel-surrogate-model-for-rapid-architecture-search-2005.13092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthetic-petri-dish-a-novel-surrogate-model-for-rapid-architecture-search-2005.13092"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-differentially-private-residual-networks-for-medical-imagery-2005.13099</loc><lastmod>2020-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-differentially-private-residual-networks-for-medical-imagery-2005.13099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-differentially-private-residual-networks-for-medical-imagery-2005.13099"/></url>
<url><loc>https://scifaro.com/en/abs/fourier-neural-networks-as-function-approximators-and-differential-equation-solvers-2005.13100</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fourier-neural-networks-as-function-approximators-and-differential-equation-solvers-2005.13100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fourier-neural-networks-as-function-approximators-and-differential-equation-solvers-2005.13100"/></url>
<url><loc>https://scifaro.com/en/abs/rationalizing-text-matching-learning-sparse-alignments-via-optimal-transport-2005.13111</loc><lastmod>2020-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rationalizing-text-matching-learning-sparse-alignments-via-optimal-transport-2005.13111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rationalizing-text-matching-learning-sparse-alignments-via-optimal-transport-2005.13111"/></url>
<url><loc>https://scifaro.com/en/abs/data-separability-for-neural-network-classifiers-and-the-development-of-a-separability-index-2005.13120</loc><lastmod>2020-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-separability-for-neural-network-classifiers-and-the-development-of-a-separability-index-2005.13120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-separability-for-neural-network-classifiers-and-the-development-of-a-separability-index-2005.13120"/></url>
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<url><loc>https://scifaro.com/en/abs/safeml-safety-monitoring-of-machine-learning-classifiers-through-statistical-difference-measure-2005.13166</loc><lastmod>2020-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safeml-safety-monitoring-of-machine-learning-classifiers-through-statistical-difference-measure-2005.13166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safeml-safety-monitoring-of-machine-learning-classifiers-through-statistical-difference-measure-2005.13166"/></url>
<url><loc>https://scifaro.com/en/abs/precisely-predicting-acute-kidney-injury-with-convolutional-neural-network-based-on-electronic-health-record-data-2005.13171</loc><lastmod>2020-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/precisely-predicting-acute-kidney-injury-with-convolutional-neural-network-based-on-electronic-health-record-data-2005.13171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/precisely-predicting-acute-kidney-injury-with-convolutional-neural-network-based-on-electronic-health-record-data-2005.13171"/></url>
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<url><loc>https://scifaro.com/en/abs/tsml-time-series-machine-learnng-2005.13191</loc><lastmod>2020-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tsml-time-series-machine-learnng-2005.13191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tsml-time-series-machine-learnng-2005.13191"/></url>
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<url><loc>https://scifaro.com/en/abs/general-purpose-user-embeddings-based-on-mobile-app-usage-2005.13303</loc><lastmod>2020-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-purpose-user-embeddings-based-on-mobile-app-usage-2005.13303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-purpose-user-embeddings-based-on-mobile-app-usage-2005.13303"/></url>
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<url><loc>https://scifaro.com/en/abs/demystifying-orthogonal-monte-carlo-and-beyond-2005.13590</loc><lastmod>2020-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-orthogonal-monte-carlo-and-beyond-2005.13590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-orthogonal-monte-carlo-and-beyond-2005.13590"/></url>
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<url><loc>https://scifaro.com/en/abs/graphon-neural-networks-and-the-transferability-of-graph-neural-networks-2006.03548</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphon-neural-networks-and-the-transferability-of-graph-neural-networks-2006.03548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphon-neural-networks-and-the-transferability-of-graph-neural-networks-2006.03548"/></url>
<url><loc>https://scifaro.com/en/abs/logical-team-q-learning-an-approach-towards-factored-policies-in-cooperative-marl-2006.03553</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logical-team-q-learning-an-approach-towards-factored-policies-in-cooperative-marl-2006.03553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logical-team-q-learning-an-approach-towards-factored-policies-in-cooperative-marl-2006.03553"/></url>
<url><loc>https://scifaro.com/en/abs/masked-language-modeling-for-proteins-via-linearly-scalable-long-context-transformers-2006.03555</loc><lastmod>2020-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/masked-language-modeling-for-proteins-via-linearly-scalable-long-context-transformers-2006.03555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/masked-language-modeling-for-proteins-via-linearly-scalable-long-context-transformers-2006.03555"/></url>
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<url><loc>https://scifaro.com/en/abs/high-level-modeling-of-manufacturing-faults-in-deep-neural-network-accelerators-2006.03616</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-level-modeling-of-manufacturing-faults-in-deep-neural-network-accelerators-2006.03616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-level-modeling-of-manufacturing-faults-in-deep-neural-network-accelerators-2006.03616"/></url>
<url><loc>https://scifaro.com/en/abs/equivariant-maps-for-hierarchical-structures-2006.03627</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivariant-maps-for-hierarchical-structures-2006.03627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivariant-maps-for-hierarchical-structures-2006.03627"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-class-based-curriculum-loss-2006.03629</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-class-based-curriculum-loss-2006.03629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-class-based-curriculum-loss-2006.03629"/></url>
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<url><loc>https://scifaro.com/en/abs/rate-adaptive-model-selection-over-a-collection-of-black-box-contextual-bandit-algorithms-2006.03632</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rate-adaptive-model-selection-over-a-collection-of-black-box-contextual-bandit-algorithms-2006.03632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rate-adaptive-model-selection-over-a-collection-of-black-box-contextual-bandit-algorithms-2006.03632"/></url>
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<url><loc>https://scifaro.com/en/abs/generating-artificial-outliers-in-the-absence-of-genuine-ones-a-survey-2006.03646</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-artificial-outliers-in-the-absence-of-genuine-ones-a-survey-2006.03646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-artificial-outliers-in-the-absence-of-genuine-ones-a-survey-2006.03646"/></url>
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<url><loc>https://scifaro.com/en/abs/a-provably-stable-neural-network-turing-machine-2006.03651</loc><lastmod>2022-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-provably-stable-neural-network-turing-machine-2006.03651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-provably-stable-neural-network-turing-machine-2006.03651"/></url>
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<url><loc>https://scifaro.com/en/abs/rapid-task-solving-in-novel-environments-2006.03662</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-task-solving-in-novel-environments-2006.03662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-task-solving-in-novel-environments-2006.03662"/></url>
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<url><loc>https://scifaro.com/en/abs/sparse-gaussian-processes-via-parametric-families-of-compactly-supported-kernels-2006.03673</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-gaussian-processes-via-parametric-families-of-compactly-supported-kernels-2006.03673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-gaussian-processes-via-parametric-families-of-compactly-supported-kernels-2006.03673"/></url>
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<url><loc>https://scifaro.com/en/abs/identifying-causal-structure-in-dynamical-systems-2006.03906</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-causal-structure-in-dynamical-systems-2006.03906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-causal-structure-in-dynamical-systems-2006.03906"/></url>
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<url><loc>https://scifaro.com/en/abs/unconstrained-online-optimization-dynamic-regret-analysis-of-strongly-convex-and-smooth-problems-2006.03912</loc><lastmod>2020-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unconstrained-online-optimization-dynamic-regret-analysis-of-strongly-convex-and-smooth-problems-2006.03912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unconstrained-online-optimization-dynamic-regret-analysis-of-strongly-convex-and-smooth-problems-2006.03912"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-model-opponent-learning-2006.03923</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-model-opponent-learning-2006.03923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-model-opponent-learning-2006.03923"/></url>
<url><loc>https://scifaro.com/en/abs/memory-efficient-learning-of-stable-linear-dynamical-systems-for-prediction-and-control-2006.03937</loc><lastmod>2020-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-efficient-learning-of-stable-linear-dynamical-systems-for-prediction-and-control-2006.03937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-efficient-learning-of-stable-linear-dynamical-systems-for-prediction-and-control-2006.03937"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-optimization-of-blackbox-combinatorial-solvers-in-neural-networks-2006.03941</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-optimization-of-blackbox-combinatorial-solvers-in-neural-networks-2006.03941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-optimization-of-blackbox-combinatorial-solvers-in-neural-networks-2006.03941"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-bandits-with-side-observations-2006.03951</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-bandits-with-side-observations-2006.03951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-bandits-with-side-observations-2006.03951"/></url>
<url><loc>https://scifaro.com/en/abs/frank-wolfe-optimization-for-deep-networks-2006.03960</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frank-wolfe-optimization-for-deep-networks-2006.03960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frank-wolfe-optimization-for-deep-networks-2006.03960"/></url>
<url><loc>https://scifaro.com/en/abs/tuning-a-variational-autoencoder-for-data-accountability-problem-in-the-mars-science-laboratory-ground-data-system-2006.03962</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tuning-a-variational-autoencoder-for-data-accountability-problem-in-the-mars-science-laboratory-ground-data-system-2006.03962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tuning-a-variational-autoencoder-for-data-accountability-problem-in-the-mars-science-laboratory-ground-data-system-2006.03962"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-black-box-optimization-with-expert-advice-2006.03963</loc><lastmod>2020-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-black-box-optimization-with-expert-advice-2006.03963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-black-box-optimization-with-expert-advice-2006.03963"/></url>
<url><loc>https://scifaro.com/en/abs/generative-design-of-hardware-aware-dnns-2006.03968</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-design-of-hardware-aware-dnns-2006.03968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-design-of-hardware-aware-dnns-2006.03968"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-neural-architecture-search-2006.03969</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-neural-architecture-search-2006.03969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-neural-architecture-search-2006.03969"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-gradient-temporal-difference-learning-stable-reinforcement-learning-with-polynomial-sample-complexity-2006.03976</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-gradient-temporal-difference-learning-stable-reinforcement-learning-with-polynomial-sample-complexity-2006.03976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-gradient-temporal-difference-learning-stable-reinforcement-learning-with-polynomial-sample-complexity-2006.03976"/></url>
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<url><loc>https://scifaro.com/en/abs/an-efficient-algorithm-for-generalized-linear-bandit-online-stochastic-gradient-descent-and-thompson-sampling-2006.04012</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-algorithm-for-generalized-linear-bandit-online-stochastic-gradient-descent-and-thompson-sampling-2006.04012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-algorithm-for-generalized-linear-bandit-online-stochastic-gradient-descent-and-thompson-sampling-2006.04012"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-architecture-search-for-continual-learning-2006.04027</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-architecture-search-for-continual-learning-2006.04027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-architecture-search-for-continual-learning-2006.04027"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-multi-product-multi-node-inventory-management-in-supply-chains-2006.04037</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-multi-product-multi-node-inventory-management-in-supply-chains-2006.04037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-multi-product-multi-node-inventory-management-in-supply-chains-2006.04037"/></url>
<url><loc>https://scifaro.com/en/abs/a-generic-first-order-algorithmic-framework-for-bi-level-programming-beyond-lower-level-singleton-2006.04045</loc><lastmod>2020-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generic-first-order-algorithmic-framework-for-bi-level-programming-beyond-lower-level-singleton-2006.04045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generic-first-order-algorithmic-framework-for-bi-level-programming-beyond-lower-level-singleton-2006.04045"/></url>
<url><loc>https://scifaro.com/en/abs/soft-gradient-boosting-machine-2006.04059</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-gradient-boosting-machine-2006.04059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-gradient-boosting-machine-2006.04059"/></url>
<url><loc>https://scifaro.com/en/abs/dual-policy-distillation-2006.04061</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-policy-distillation-2006.04061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-policy-distillation-2006.04061"/></url>
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<url><loc>https://scifaro.com/en/abs/fusion-recurrent-neural-network-2006.04069</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fusion-recurrent-neural-network-2006.04069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fusion-recurrent-neural-network-2006.04069"/></url>
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<url><loc>https://scifaro.com/en/abs/sharp-thresholds-of-the-information-cascade-fragility-under-a-mismatched-model-2006.04117</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharp-thresholds-of-the-information-cascade-fragility-under-a-mismatched-model-2006.04117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharp-thresholds-of-the-information-cascade-fragility-under-a-mismatched-model-2006.04117"/></url>
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<url><loc>https://scifaro.com/en/abs/deep-graph-contrastive-representation-learning-2006.04131</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-graph-contrastive-representation-learning-2006.04131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-graph-contrastive-representation-learning-2006.04131"/></url>
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<url><loc>https://scifaro.com/en/abs/primal-wasserstein-imitation-learning-2006.04678</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/primal-wasserstein-imitation-learning-2006.04678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/primal-wasserstein-imitation-learning-2006.04678"/></url>
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<url><loc>https://scifaro.com/en/abs/supervised-whole-dag-causal-discovery-2006.04697</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-whole-dag-causal-discovery-2006.04697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-whole-dag-causal-discovery-2006.04697"/></url>
<url><loc>https://scifaro.com/en/abs/picket-guarding-against-corrupted-data-in-tabular-data-during-learning-and-inference-2006.04730</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/picket-guarding-against-corrupted-data-in-tabular-data-during-learning-and-inference-2006.04730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/picket-guarding-against-corrupted-data-in-tabular-data-during-learning-and-inference-2006.04730"/></url>
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<url><loc>https://scifaro.com/en/abs/the-golden-ratio-of-learning-and-momentum-2006.04751</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-golden-ratio-of-learning-and-momentum-2006.04751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-golden-ratio-of-learning-and-momentum-2006.04751"/></url>
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<url><loc>https://scifaro.com/en/abs/the-penalty-imposed-by-ablated-data-augmentation-2006.04769</loc><lastmod>2020-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-penalty-imposed-by-ablated-data-augmentation-2006.04769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-penalty-imposed-by-ablated-data-augmentation-2006.04769"/></url>
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<url><loc>https://scifaro.com/en/abs/foreseeing-the-benefits-of-incidental-supervision-2006.05500</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/foreseeing-the-benefits-of-incidental-supervision-2006.05500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/foreseeing-the-benefits-of-incidental-supervision-2006.05500"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-early-warning-system-multicenter-validation-in-brazilian-hospitals-2006.05514</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-early-warning-system-multicenter-validation-in-brazilian-hospitals-2006.05514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-early-warning-system-multicenter-validation-in-brazilian-hospitals-2006.05514"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-distillation-a-survey-2006.05525</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-distillation-a-survey-2006.05525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-distillation-a-survey-2006.05525"/></url>
<url><loc>https://scifaro.com/en/abs/novelty-detection-via-robust-variational-autoencoding-2006.05534</loc><lastmod>2023-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novelty-detection-via-robust-variational-autoencoding-2006.05534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novelty-detection-via-robust-variational-autoencoding-2006.05534"/></url>
<url><loc>https://scifaro.com/en/abs/locally-private-graph-neural-networks-2006.05535</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-private-graph-neural-networks-2006.05535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-private-graph-neural-networks-2006.05535"/></url>
<url><loc>https://scifaro.com/en/abs/neural-methods-for-point-wise-dependency-estimation-2006.05553</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-methods-for-point-wise-dependency-estimation-2006.05553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-methods-for-point-wise-dependency-estimation-2006.05553"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-from-incomplete-data-using-an-encoder-and-reinforcement-learning-2006.05554</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-from-incomplete-data-using-an-encoder-and-reinforcement-learning-2006.05554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-from-incomplete-data-using-an-encoder-and-reinforcement-learning-2006.05554"/></url>
<url><loc>https://scifaro.com/en/abs/learning-functions-to-study-the-benefit-of-multitask-learning-2006.05561</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-functions-to-study-the-benefit-of-multitask-learning-2006.05561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-functions-to-study-the-benefit-of-multitask-learning-2006.05561"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-learning-from-a-multi-view-perspective-2006.05576</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-learning-from-a-multi-view-perspective-2006.05576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-learning-from-a-multi-view-perspective-2006.05576"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-multi-view-representation-learning-on-graphs-2006.05582</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-multi-view-representation-learning-on-graphs-2006.05582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-multi-view-representation-learning-on-graphs-2006.05582"/></url>
<url><loc>https://scifaro.com/en/abs/variational-optimization-for-the-submodular-maximum-coverage-problem-2006.05583</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-optimization-for-the-submodular-maximum-coverage-problem-2006.05583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-optimization-for-the-submodular-maximum-coverage-problem-2006.05583"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-density-ratio-estimation-for-simultaneous-optimization-of-speed-and-accuracy-2006.05587</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-density-ratio-estimation-for-simultaneous-optimization-of-speed-and-accuracy-2006.05587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-density-ratio-estimation-for-simultaneous-optimization-of-speed-and-accuracy-2006.05587"/></url>
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<url><loc>https://scifaro.com/en/abs/adversarial-attacks-on-brain-inspired-hyperdimensional-computing-based-classifiers-2006.05594</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-on-brain-inspired-hyperdimensional-computing-based-classifiers-2006.05594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-on-brain-inspired-hyperdimensional-computing-based-classifiers-2006.05594"/></url>
<url><loc>https://scifaro.com/en/abs/fitted-q-learning-for-relational-domains-2006.05595</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitted-q-learning-for-relational-domains-2006.05595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitted-q-learning-for-relational-domains-2006.05595"/></url>
<url><loc>https://scifaro.com/en/abs/using-an-expert-deviation-carrying-the-knowledge-of-climate-data-in-usual-clustering-algorithms-2006.05603</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-an-expert-deviation-carrying-the-knowledge-of-climate-data-in-usual-clustering-algorithms-2006.05603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-an-expert-deviation-carrying-the-knowledge-of-climate-data-in-usual-clustering-algorithms-2006.05603"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-and-control-theory-2006.05604</loc><lastmod>2020-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-and-control-theory-2006.05604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-and-control-theory-2006.05604"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneously-learning-stochastic-and-adversarial-episodic-mdps-with-known-transition-2006.05606</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneously-learning-stochastic-and-adversarial-episodic-mdps-with-known-transition-2006.05606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneously-learning-stochastic-and-adversarial-episodic-mdps-with-known-transition-2006.05606"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-vulnerability-of-deep-neural-networks-a-study-of-parameter-corruption-2006.05620</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-vulnerability-of-deep-neural-networks-a-study-of-parameter-corruption-2006.05620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-vulnerability-of-deep-neural-networks-a-study-of-parameter-corruption-2006.05620"/></url>
<url><loc>https://scifaro.com/en/abs/p-admmirnn-training-rnn-with-stable-convergence-via-an-efficient-and-paralleled-admm-approach-2006.05622</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/p-admmirnn-training-rnn-with-stable-convergence-via-an-efficient-and-paralleled-admm-approach-2006.05622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/p-admmirnn-training-rnn-with-stable-convergence-via-an-efficient-and-paralleled-admm-approach-2006.05622"/></url>
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<url><loc>https://scifaro.com/en/abs/adjoined-networks-a-training-paradigm-with-applications-to-network-compression-2006.05624</loc><lastmod>2022-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adjoined-networks-a-training-paradigm-with-applications-to-network-compression-2006.05624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adjoined-networks-a-training-paradigm-with-applications-to-network-compression-2006.05624"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-batch-contextual-bandits-2006.05630</loc><lastmod>2023-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-batch-contextual-bandits-2006.05630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-batch-contextual-bandits-2006.05630"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-individually-inferred-communication-for-multi-agent-cooperation-2006.06455</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-individually-inferred-communication-for-multi-agent-cooperation-2006.06455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-individually-inferred-communication-for-multi-agent-cooperation-2006.06455"/></url>
<url><loc>https://scifaro.com/en/abs/learning-advanced-mathematical-computations-from-examples-2006.06462</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-advanced-mathematical-computations-from-examples-2006.06462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-advanced-mathematical-computations-from-examples-2006.06462"/></url>
<url><loc>https://scifaro.com/en/abs/dnf-net-a-neural-architecture-for-tabular-data-2006.06465</loc><lastmod>2020-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dnf-net-a-neural-architecture-for-tabular-data-2006.06465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dnf-net-a-neural-architecture-for-tabular-data-2006.06465"/></url>
<url><loc>https://scifaro.com/en/abs/how-interpretable-and-trustworthy-are-gams-2006.06466</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-interpretable-and-trustworthy-are-gams-2006.06466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-interpretable-and-trustworthy-are-gams-2006.06466"/></url>
<url><loc>https://scifaro.com/en/abs/learning-halfspaces-with-tsybakov-noise-2006.06467</loc><lastmod>2020-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-halfspaces-with-tsybakov-noise-2006.06467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-halfspaces-with-tsybakov-noise-2006.06467"/></url>
<url><loc>https://scifaro.com/en/abs/adaptation-strategies-for-automated-machine-learning-on-evolving-data-2006.06480</loc><lastmod>2022-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptation-strategies-for-automated-machine-learning-on-evolving-data-2006.06480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptation-strategies-for-automated-machine-learning-on-evolving-data-2006.06480"/></url>
<url><loc>https://scifaro.com/en/abs/anti-transfer-learning-for-task-invariance-in-convolutional-neural-networks-for-speech-processing-2006.06494</loc><lastmod>2021-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anti-transfer-learning-for-task-invariance-in-convolutional-neural-networks-for-speech-processing-2006.06494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anti-transfer-learning-for-task-invariance-in-convolutional-neural-networks-for-speech-processing-2006.06494"/></url>
<url><loc>https://scifaro.com/en/abs/embed-me-if-you-can-a-geometric-perceptron-2006.06507</loc><lastmod>2022-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embed-me-if-you-can-a-geometric-perceptron-2006.06507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embed-me-if-you-can-a-geometric-perceptron-2006.06507"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-robustness-in-classification-using-optimal-transport-with-hinge-regularization-2006.06520</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-robustness-in-classification-using-optimal-transport-with-hinge-regularization-2006.06520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-robustness-in-classification-using-optimal-transport-with-hinge-regularization-2006.06520"/></url>
<url><loc>https://scifaro.com/en/abs/mma-regularization-decorrelating-weights-of-neural-networks-by-maximizing-the-minimal-angles-2006.06527</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mma-regularization-decorrelating-weights-of-neural-networks-by-maximizing-the-minimal-angles-2006.06527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mma-regularization-decorrelating-weights-of-neural-networks-by-maximizing-the-minimal-angles-2006.06527"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-adversarial-network-representation-learning-for-mobile-data-privacy-2006.06535</loc><lastmod>2020-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-adversarial-network-representation-learning-for-mobile-data-privacy-2006.06535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-adversarial-network-representation-learning-for-mobile-data-privacy-2006.06535"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-reinforcement-learning-in-stochastic-networked-systems-2006.06555</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-reinforcement-learning-in-stochastic-networked-systems-2006.06555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-reinforcement-learning-in-stochastic-networked-systems-2006.06555"/></url>
<url><loc>https://scifaro.com/en/abs/scoregan-a-fraud-review-detector-based-on-multi-task-learning-of-regulated-gan-with-data-augmentation-2006.06561</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scoregan-a-fraud-review-detector-based-on-multi-task-learning-of-regulated-gan-with-data-augmentation-2006.06561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scoregan-a-fraud-review-detector-based-on-multi-task-learning-of-regulated-gan-with-data-augmentation-2006.06561"/></url>
<url><loc>https://scifaro.com/en/abs/dynamically-stable-infinite-width-limits-of-neural-classifiers-2006.06574</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamically-stable-infinite-width-limits-of-neural-classifiers-2006.06574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamically-stable-infinite-width-limits-of-neural-classifiers-2006.06574"/></url>
<url><loc>https://scifaro.com/en/abs/adas-adaptive-scheduling-of-stochastic-gradients-2006.06587</loc><lastmod>2020-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adas-adaptive-scheduling-of-stochastic-gradients-2006.06587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adas-adaptive-scheduling-of-stochastic-gradients-2006.06587"/></url>
<url><loc>https://scifaro.com/en/abs/the-backbone-method-for-ultra-high-dimensional-sparse-machine-learning-2006.06592</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-backbone-method-for-ultra-high-dimensional-sparse-machine-learning-2006.06592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-backbone-method-for-ultra-high-dimensional-sparse-machine-learning-2006.06592"/></url>
<url><loc>https://scifaro.com/en/abs/robust-model-training-and-generalisation-with-studentising-flows-2006.06599</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-model-training-and-generalisation-with-studentising-flows-2006.06599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-model-training-and-generalisation-with-studentising-flows-2006.06599"/></url>
<url><loc>https://scifaro.com/en/abs/zeroth-order-supervised-policy-improvement-2006.06600</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zeroth-order-supervised-policy-improvement-2006.06600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zeroth-order-supervised-policy-improvement-2006.06600"/></url>
<url><loc>https://scifaro.com/en/abs/cumulant-gan-2006.06625</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cumulant-gan-2006.06625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cumulant-gan-2006.06625"/></url>
<url><loc>https://scifaro.com/en/abs/diagnosis-and-analysis-of-celiac-disease-and-environmental-enteropathy-on-biopsy-images-using-deep-learning-approaches-2006.06627</loc><lastmod>2020-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diagnosis-and-analysis-of-celiac-disease-and-environmental-enteropathy-on-biopsy-images-using-deep-learning-approaches-2006.06627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diagnosis-and-analysis-of-celiac-disease-and-environmental-enteropathy-on-biopsy-images-using-deep-learning-approaches-2006.06627"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-video-inference-on-edge-devices-via-adaptive-model-streaming-2006.06628</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-video-inference-on-edge-devices-via-adaptive-model-streaming-2006.06628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-video-inference-on-edge-devices-via-adaptive-model-streaming-2006.06628"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-visualizations-with-differentiating-embedding-networks-2006.06640</loc><lastmod>2020-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-visualizations-with-differentiating-embedding-networks-2006.06640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-visualizations-with-differentiating-embedding-networks-2006.06640"/></url>
<url><loc>https://scifaro.com/en/abs/smoothed-geometry-for-robust-attribution-2006.06643</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothed-geometry-for-robust-attribution-2006.06643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothed-geometry-for-robust-attribution-2006.06643"/></url>
<url><loc>https://scifaro.com/en/abs/nads-neural-architecture-distribution-search-for-uncertainty-awareness-2006.06646</loc><lastmod>2020-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nads-neural-architecture-distribution-search-for-uncertainty-awareness-2006.06646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nads-neural-architecture-distribution-search-for-uncertainty-awareness-2006.06646"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-extrapolate-knowledge-transductive-few-shot-out-of-graph-link-prediction-2006.06648</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-extrapolate-knowledge-transductive-few-shot-out-of-graph-link-prediction-2006.06648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-extrapolate-knowledge-transductive-few-shot-out-of-graph-link-prediction-2006.06648"/></url>
<url><loc>https://scifaro.com/en/abs/directional-convergence-and-alignment-in-deep-learning-2006.06657</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directional-convergence-and-alignment-in-deep-learning-2006.06657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directional-convergence-and-alignment-in-deep-learning-2006.06657"/></url>
<url><loc>https://scifaro.com/en/abs/towards-early-diagnosis-of-epilepsy-from-eeg-data-2006.06675</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-early-diagnosis-of-epilepsy-from-eeg-data-2006.06675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-early-diagnosis-of-epilepsy-from-eeg-data-2006.06675"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-asymptotics-of-wide-networks-with-polynomial-activations-2006.06687</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-asymptotics-of-wide-networks-with-polynomial-activations-2006.06687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-asymptotics-of-wide-networks-with-polynomial-activations-2006.06687"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-sinkhorn-autoencoder-with-noise-generator-2006.06704</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-sinkhorn-autoencoder-with-noise-generator-2006.06704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-sinkhorn-autoencoder-with-noise-generator-2006.06704"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-generalization-on-the-train-set-a-novel-gradient-based-framework-to-train-parameters-and-hyperparameters-simultaneously-2006.06705</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-generalization-on-the-train-set-a-novel-gradient-based-framework-to-train-parameters-and-hyperparameters-simultaneously-2006.06705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-generalization-on-the-train-set-a-novel-gradient-based-framework-to-train-parameters-and-hyperparameters-simultaneously-2006.06705"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-learn-kernels-with-variational-random-features-2006.06707</loc><lastmod>2020-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-learn-kernels-with-variational-random-features-2006.06707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-learn-kernels-with-variational-random-features-2006.06707"/></url>
<url><loc>https://scifaro.com/en/abs/backdoor-smoothing-demystifying-backdoor-attacks-on-deep-neural-networks-2006.06721</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backdoor-smoothing-demystifying-backdoor-attacks-on-deep-neural-networks-2006.06721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backdoor-smoothing-demystifying-backdoor-attacks-on-deep-neural-networks-2006.06721"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-electric-transmission-voltage-control-2006.06728</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-electric-transmission-voltage-control-2006.06728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-electric-transmission-voltage-control-2006.06728"/></url>
<url><loc>https://scifaro.com/en/abs/is-deep-learning-necessary-for-simple-classification-tasks-2006.06730</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-deep-learning-necessary-for-simple-classification-tasks-2006.06730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-deep-learning-necessary-for-simple-classification-tasks-2006.06730"/></url>
<url><loc>https://scifaro.com/en/abs/bandits-with-partially-observable-confounded-data-2006.06731</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandits-with-partially-observable-confounded-data-2006.06731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandits-with-partially-observable-confounded-data-2006.06731"/></url>
<url><loc>https://scifaro.com/en/abs/non-convex-sgd-learns-halfspaces-with-adversarial-label-noise-2006.06742</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-convex-sgd-learns-halfspaces-with-adversarial-label-noise-2006.06742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-convex-sgd-learns-halfspaces-with-adversarial-label-noise-2006.06742"/></url>
<url><loc>https://scifaro.com/en/abs/faster-dbscan-via-subsampled-similarity-queries-2006.06743</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-dbscan-via-subsampled-similarity-queries-2006.06743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-dbscan-via-subsampled-similarity-queries-2006.06743"/></url>
<url><loc>https://scifaro.com/en/abs/ansor-generating-high-performance-tensor-programs-for-deep-learning-2006.06762</loc><lastmod>2023-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ansor-generating-high-performance-tensor-programs-for-deep-learning-2006.06762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ansor-generating-high-performance-tensor-programs-for-deep-learning-2006.06762"/></url>
<url><loc>https://scifaro.com/en/abs/tangent-space-sensitivity-and-distribution-of-linear-regions-in-relu-networks-2006.06780</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tangent-space-sensitivity-and-distribution-of-linear-regions-in-relu-networks-2006.06780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tangent-space-sensitivity-and-distribution-of-linear-regions-in-relu-networks-2006.06780"/></url>
<url><loc>https://scifaro.com/en/abs/on-frequentist-regret-of-linear-thompson-sampling-2006.06790</loc><lastmod>2023-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-frequentist-regret-of-linear-thompson-sampling-2006.06790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-frequentist-regret-of-linear-thompson-sampling-2006.06790"/></url>
<url><loc>https://scifaro.com/en/abs/deep-transfer-learning-with-ridge-regression-2006.06791</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-transfer-learning-with-ridge-regression-2006.06791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-transfer-learning-with-ridge-regression-2006.06791"/></url>
<url><loc>https://scifaro.com/en/abs/multigrid-in-channels-architectures-for-wide-convolutional-neural-networks-2006.06799</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multigrid-in-channels-architectures-for-wide-convolutional-neural-networks-2006.06799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multigrid-in-channels-architectures-for-wide-convolutional-neural-networks-2006.06799"/></url>
<url><loc>https://scifaro.com/en/abs/symbolic-regression-using-mixed-integer-nonlinear-optimization-2006.06813</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symbolic-regression-using-mixed-integer-nonlinear-optimization-2006.06813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symbolic-regression-using-mixed-integer-nonlinear-optimization-2006.06813"/></url>
<url><loc>https://scifaro.com/en/abs/calendar-graph-neural-networks-for-modeling-time-structures-in-spatiotemporal-user-behaviors-2006.06820</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calendar-graph-neural-networks-for-modeling-time-structures-in-spatiotemporal-user-behaviors-2006.06820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calendar-graph-neural-networks-for-modeling-time-structures-in-spatiotemporal-user-behaviors-2006.06820"/></url>
<url><loc>https://scifaro.com/en/abs/to-each-optimizer-a-norm-to-each-norm-its-generalization-2006.06821</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-each-optimizer-a-norm-to-each-norm-its-generalization-2006.06821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-each-optimizer-a-norm-to-each-norm-its-generalization-2006.06821"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-for-graph-neural-networks-2006.06830</loc><lastmod>2020-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-for-graph-neural-networks-2006.06830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-for-graph-neural-networks-2006.06830"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-recourse-under-imperfect-causal-knowledge-a-probabilistic-approach-2006.06831</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-recourse-under-imperfect-causal-knowledge-a-probabilistic-approach-2006.06831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-recourse-under-imperfect-causal-knowledge-a-probabilistic-approach-2006.06831"/></url>
<url><loc>https://scifaro.com/en/abs/attention-improves-concentration-when-learning-node-embeddings-2006.06834</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-improves-concentration-when-learning-node-embeddings-2006.06834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-improves-concentration-when-learning-node-embeddings-2006.06834"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-gradient-methods-converge-faster-with-over-parameterization-but-you-should-do-a-line-search-2006.06835</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-gradient-methods-converge-faster-with-over-parameterization-but-you-should-do-a-line-search-2006.06835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-gradient-methods-converge-faster-with-over-parameterization-but-you-should-do-a-line-search-2006.06835"/></url>
<url><loc>https://scifaro.com/en/abs/backdoors-in-neural-models-of-source-code-2006.06841</loc><lastmod>2022-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backdoors-in-neural-models-of-source-code-2006.06841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backdoors-in-neural-models-of-source-code-2006.06841"/></url>
<url><loc>https://scifaro.com/en/abs/list-learning-with-attribute-noise-2006.06850</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/list-learning-with-attribute-noise-2006.06850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/list-learning-with-attribute-noise-2006.06850"/></url>
<url><loc>https://scifaro.com/en/abs/group-fair-online-allocation-in-continuous-time-2006.06852</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-fair-online-allocation-in-continuous-time-2006.06852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-fair-online-allocation-in-continuous-time-2006.06852"/></url>
<url><loc>https://scifaro.com/en/abs/maximal-objectives-in-the-multi-armed-bandit-with-applications-2006.06853</loc><lastmod>2024-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximal-objectives-in-the-multi-armed-bandit-with-applications-2006.06853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximal-objectives-in-the-multi-armed-bandit-with-applications-2006.06853"/></url>
<url><loc>https://scifaro.com/en/abs/banditpam-almost-linear-time-k-medoids-clustering-via-multi-armed-bandits-2006.06856</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/banditpam-almost-linear-time-k-medoids-clustering-via-multi-armed-bandits-2006.06856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/banditpam-almost-linear-time-k-medoids-clustering-via-multi-armed-bandits-2006.06856"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-to-adversarial-attacks-in-learning-enabled-controllers-2006.06861</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-to-adversarial-attacks-in-learning-enabled-controllers-2006.06861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-to-adversarial-attacks-in-learning-enabled-controllers-2006.06861"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-stress-determinator-for-mouse-psychiatric-analysis-using-hippocampus-activity-2006.06862</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-stress-determinator-for-mouse-psychiatric-analysis-using-hippocampus-activity-2006.06862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-stress-determinator-for-mouse-psychiatric-analysis-using-hippocampus-activity-2006.06862"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-neural-architecture-search-2006.06863</loc><lastmod>2024-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-neural-architecture-search-2006.06863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-neural-architecture-search-2006.06863"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-theory-for-relu-neural-networks-trained-with-normalization-layers-2006.06878</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-theory-for-relu-neural-networks-trained-with-normalization-layers-2006.06878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-theory-for-relu-neural-networks-trained-with-normalization-layers-2006.06878"/></url>
<url><loc>https://scifaro.com/en/abs/uncovering-the-folding-landscape-of-rna-secondary-structure-with-deep-graph-embeddings-2006.06885</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncovering-the-folding-landscape-of-rna-secondary-structure-with-deep-graph-embeddings-2006.06885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncovering-the-folding-landscape-of-rna-secondary-structure-with-deep-graph-embeddings-2006.06885"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-optimization-for-performative-prediction-2006.06887</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-optimization-for-performative-prediction-2006.06887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-optimization-for-performative-prediction-2006.06887"/></url>
<url><loc>https://scifaro.com/en/abs/fast-objective-duality-gap-convergence-for-non-convex-strongly-concave-min-max-problems-with-pl-condition-2006.06889</loc><lastmod>2023-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-objective-duality-gap-convergence-for-non-convex-strongly-concave-min-max-problems-with-pl-condition-2006.06889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-objective-duality-gap-convergence-for-non-convex-strongly-concave-min-max-problems-with-pl-condition-2006.06889"/></url>
<url><loc>https://scifaro.com/en/abs/online-sequential-extreme-learning-machines-features-combined-from-hundreds-of-midlayers-2006.06893</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-sequential-extreme-learning-machines-features-combined-from-hundreds-of-midlayers-2006.06893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-sequential-extreme-learning-machines-features-combined-from-hundreds-of-midlayers-2006.06893"/></url>
<url><loc>https://scifaro.com/en/abs/improving-gan-training-with-probability-ratio-clipping-and-sample-reweighting-2006.06900</loc><lastmod>2020-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-gan-training-with-probability-ratio-clipping-and-sample-reweighting-2006.06900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-gan-training-with-probability-ratio-clipping-and-sample-reweighting-2006.06900"/></url>
<url><loc>https://scifaro.com/en/abs/on-correctness-of-automatic-differentiation-for-non-differentiable-functions-2006.06903</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-correctness-of-automatic-differentiation-for-non-differentiable-functions-2006.06903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-correctness-of-automatic-differentiation-for-non-differentiable-functions-2006.06903"/></url>
<url><loc>https://scifaro.com/en/abs/weisfeiler-lehman-embedding-for-molecular-graph-neural-networks-2006.06909</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weisfeiler-lehman-embedding-for-molecular-graph-neural-networks-2006.06909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weisfeiler-lehman-embedding-for-molecular-graph-neural-networks-2006.06909"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-attentional-memory-network-for-computational-drug-repositioning-2006.06910</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-attentional-memory-network-for-computational-drug-repositioning-2006.06910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-attentional-memory-network-for-computational-drug-repositioning-2006.06910"/></url>
<url><loc>https://scifaro.com/en/abs/stability-of-stochastic-gradient-descent-on-nonsmooth-convex-losses-2006.06914</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-of-stochastic-gradient-descent-on-nonsmooth-convex-losses-2006.06914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-of-stochastic-gradient-descent-on-nonsmooth-convex-losses-2006.06914"/></url>
<url><loc>https://scifaro.com/en/abs/how-many-samples-is-a-good-initial-point-worth-in-low-rank-matrix-recovery-2006.06915</loc><lastmod>2020-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-many-samples-is-a-good-initial-point-worth-in-low-rank-matrix-recovery-2006.06915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-many-samples-is-a-good-initial-point-worth-in-low-rank-matrix-recovery-2006.06915"/></url>
<url><loc>https://scifaro.com/en/abs/momentumrnn-integrating-momentum-into-recurrent-neural-networks-2006.06919</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/momentumrnn-integrating-momentum-into-recurrent-neural-networks-2006.06919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/momentumrnn-integrating-momentum-into-recurrent-neural-networks-2006.06919"/></url>
<url><loc>https://scifaro.com/en/abs/potential-field-guided-actor-critic-reinforcement-learning-2006.06923</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/potential-field-guided-actor-critic-reinforcement-learning-2006.06923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/potential-field-guided-actor-critic-reinforcement-learning-2006.06923"/></url>
<url><loc>https://scifaro.com/en/abs/decomposed-quadratization-efficient-qubo-formulation-for-learning-bayesian-network-2006.06926</loc><lastmod>2025-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decomposed-quadratization-efficient-qubo-formulation-for-learning-bayesian-network-2006.06926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decomposed-quadratization-efficient-qubo-formulation-for-learning-bayesian-network-2006.06926"/></url>
<url><loc>https://scifaro.com/en/abs/longitudinal-self-supervised-learning-2006.06930</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/longitudinal-self-supervised-learning-2006.06930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/longitudinal-self-supervised-learning-2006.06930"/></url>
<url><loc>https://scifaro.com/en/abs/smartphone-transportation-mode-recognition-using-a-hierarchical-machine-learning-classifier-and-pooled-features-from-time-and-frequency-domains-2006.06945</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smartphone-transportation-mode-recognition-using-a-hierarchical-machine-learning-classifier-and-pooled-features-from-time-and-frequency-domains-2006.06945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smartphone-transportation-mode-recognition-using-a-hierarchical-machine-learning-classifier-and-pooled-features-from-time-and-frequency-domains-2006.06945"/></url>
<url><loc>https://scifaro.com/en/abs/towards-flexible-device-participation-in-federated-learning-2006.06954</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-flexible-device-participation-in-federated-learning-2006.06954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-flexible-device-participation-in-federated-learning-2006.06954"/></url>
<url><loc>https://scifaro.com/en/abs/decorrelated-double-q-learning-2006.06956</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decorrelated-double-q-learning-2006.06956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decorrelated-double-q-learning-2006.06956"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-role-of-training-regimes-in-continual-learning-2006.06958</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-role-of-training-regimes-in-continual-learning-2006.06958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-role-of-training-regimes-in-continual-learning-2006.06958"/></url>
<url><loc>https://scifaro.com/en/abs/needle-in-a-haystack-label-efficient-evaluation-under-extreme-class-imbalance-2006.06963</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/needle-in-a-haystack-label-efficient-evaluation-under-extreme-class-imbalance-2006.06963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/needle-in-a-haystack-label-efficient-evaluation-under-extreme-class-imbalance-2006.06963"/></url>
<url><loc>https://scifaro.com/en/abs/towards-deeper-graph-neural-networks-with-differentiable-group-normalization-2006.06972</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-deeper-graph-neural-networks-with-differentiable-group-normalization-2006.06972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-deeper-graph-neural-networks-with-differentiable-group-normalization-2006.06972"/></url>
<url><loc>https://scifaro.com/en/abs/non-negative-bregman-divergence-minimization-for-deep-direct-density-ratio-estimation-2006.06979</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-negative-bregman-divergence-minimization-for-deep-direct-density-ratio-estimation-2006.06979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-negative-bregman-divergence-minimization-for-deep-direct-density-ratio-estimation-2006.06979"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-impacts-of-heterogeneity-in-federated-learning-upon-large-scale-smartphone-data-2006.06983</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-impacts-of-heterogeneity-in-federated-learning-upon-large-scale-smartphone-data-2006.06983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-impacts-of-heterogeneity-in-federated-learning-upon-large-scale-smartphone-data-2006.06983"/></url>
<url><loc>https://scifaro.com/en/abs/complex-dynamics-in-simple-neural-networks-understanding-gradient-flow-in-phase-retrieval-2006.06997</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complex-dynamics-in-simple-neural-networks-understanding-gradient-flow-in-phase-retrieval-2006.06997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complex-dynamics-in-simple-neural-networks-understanding-gradient-flow-in-phase-retrieval-2006.06997"/></url>
<url><loc>https://scifaro.com/en/abs/markov-random-geometric-graph-mrgg-a-growth-model-for-temporal-dynamic-networks-2006.07001</loc><lastmod>2022-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-random-geometric-graph-mrgg-a-growth-model-for-temporal-dynamic-networks-2006.07001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-random-geometric-graph-mrgg-a-growth-model-for-temporal-dynamic-networks-2006.07001"/></url>
<url><loc>https://scifaro.com/en/abs/double-double-descent-on-generalization-errors-in-transfer-learning-between-linear-regression-tasks-2006.07002</loc><lastmod>2022-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-double-descent-on-generalization-errors-in-transfer-learning-between-linear-regression-tasks-2006.07002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-double-descent-on-generalization-errors-in-transfer-learning-between-linear-regression-tasks-2006.07002"/></url>
<url><loc>https://scifaro.com/en/abs/how-many-winning-tickets-are-there-in-one-dnn-2006.07014</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-many-winning-tickets-are-there-in-one-dnn-2006.07014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-many-winning-tickets-are-there-in-one-dnn-2006.07014"/></url>
<url><loc>https://scifaro.com/en/abs/a-benchmark-study-on-reliable-molecular-supervised-learning-via-bayesian-learning-2006.07021</loc><lastmod>2020-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-benchmark-study-on-reliable-molecular-supervised-learning-via-bayesian-learning-2006.07021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-benchmark-study-on-reliable-molecular-supervised-learning-via-bayesian-learning-2006.07021"/></url>
<url><loc>https://scifaro.com/en/abs/provably-robust-metric-learning-2006.07024</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-robust-metric-learning-2006.07024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-robust-metric-learning-2006.07024"/></url>
<url><loc>https://scifaro.com/en/abs/backdoor-attacks-on-federated-meta-learning-2006.07026</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backdoor-attacks-on-federated-meta-learning-2006.07026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backdoor-attacks-on-federated-meta-learning-2006.07026"/></url>
<url><loc>https://scifaro.com/en/abs/seq2tens-an-efficient-representation-of-sequences-by-low-rank-tensor-projections-2006.07027</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seq2tens-an-efficient-representation-of-sequences-by-low-rank-tensor-projections-2006.07027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seq2tens-an-efficient-representation-of-sequences-by-low-rank-tensor-projections-2006.07027"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graph-models-for-retrosynthesis-prediction-2006.07038</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graph-models-for-retrosynthesis-prediction-2006.07038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graph-models-for-retrosynthesis-prediction-2006.07038"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-networks-for-stochastic-control-in-real-time-bidding-2006.07042</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-networks-for-stochastic-control-in-real-time-bidding-2006.07042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-networks-for-stochastic-control-in-real-time-bidding-2006.07042"/></url>
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<url><loc>https://scifaro.com/en/abs/disentangled-representation-learning-and-generation-with-manifold-optimization-2006.07046</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-representation-learning-and-generation-with-manifold-optimization-2006.07046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-representation-learning-and-generation-with-manifold-optimization-2006.07046"/></url>
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<url><loc>https://scifaro.com/en/abs/online-metric-learning-for-multi-label-classification-2006.07092</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-metric-learning-for-multi-label-classification-2006.07092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-metric-learning-for-multi-label-classification-2006.07092"/></url>
<url><loc>https://scifaro.com/en/abs/reinforced-data-sampling-for-model-diversification-2006.07100</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforced-data-sampling-for-model-diversification-2006.07100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforced-data-sampling-for-model-diversification-2006.07100"/></url>
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<url><loc>https://scifaro.com/en/abs/nas-bench-nlp-neural-architecture-search-benchmark-for-natural-language-processing-2006.07116</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nas-bench-nlp-neural-architecture-search-benchmark-for-natural-language-processing-2006.07116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nas-bench-nlp-neural-architecture-search-benchmark-for-natural-language-processing-2006.07116"/></url>
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<url><loc>https://scifaro.com/en/abs/kernelized-information-bottleneck-leads-to-biologically-plausible-3-factor-hebbian-learning-in-deep-networks-2006.07123</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernelized-information-bottleneck-leads-to-biologically-plausible-3-factor-hebbian-learning-in-deep-networks-2006.07123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernelized-information-bottleneck-leads-to-biologically-plausible-3-factor-hebbian-learning-in-deep-networks-2006.07123"/></url>
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<url><loc>https://scifaro.com/en/abs/algebranets-2006.07360</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algebranets-2006.07360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algebranets-2006.07360"/></url>
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<url><loc>https://scifaro.com/en/abs/stochastic-gradient-langevin-with-delayed-gradients-2006.07362</loc><lastmod>2020-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-langevin-with-delayed-gradients-2006.07362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-langevin-with-delayed-gradients-2006.07362"/></url>
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<url><loc>https://scifaro.com/en/abs/domain-generalization-using-causal-matching-2006.07500</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-generalization-using-causal-matching-2006.07500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-generalization-using-causal-matching-2006.07500"/></url>
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<url><loc>https://scifaro.com/en/abs/mixmood-a-systematic-approach-to-class-distribution-mismatch-in-semi-supervised-learning-using-deep-dataset-dissimilarity-measures-2006.07767</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixmood-a-systematic-approach-to-class-distribution-mismatch-in-semi-supervised-learning-using-deep-dataset-dissimilarity-measures-2006.07767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixmood-a-systematic-approach-to-class-distribution-mismatch-in-semi-supervised-learning-using-deep-dataset-dissimilarity-measures-2006.07767"/></url>
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<url><loc>https://scifaro.com/en/abs/non-local-policy-optimization-via-diversity-regularized-collaborative-exploration-2006.07781</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-local-policy-optimization-via-diversity-regularized-collaborative-exploration-2006.07781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-local-policy-optimization-via-diversity-regularized-collaborative-exploration-2006.07781"/></url>
<url><loc>https://scifaro.com/en/abs/patchup-a-feature-space-block-level-regularization-technique-for-convolutional-neural-networks-2006.07794</loc><lastmod>2023-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/patchup-a-feature-space-block-level-regularization-technique-for-convolutional-neural-networks-2006.07794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/patchup-a-feature-space-block-level-regularization-technique-for-convolutional-neural-networks-2006.07794"/></url>
<url><loc>https://scifaro.com/en/abs/structure-by-architecture-structured-representations-without-regularization-2006.07796</loc><lastmod>2024-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-by-architecture-structured-representations-without-regularization-2006.07796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-by-architecture-structured-representations-without-regularization-2006.07796"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-transferability-of-adversarial-examples-between-convex-and-01-loss-models-2006.07800</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-transferability-of-adversarial-examples-between-convex-and-01-loss-models-2006.07800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-transferability-of-adversarial-examples-between-convex-and-01-loss-models-2006.07800"/></url>
<url><loc>https://scifaro.com/en/abs/dual-t-reducing-estimation-error-for-transition-matrix-in-label-noise-learning-2006.07805</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-t-reducing-estimation-error-for-transition-matrix-in-label-noise-learning-2006.07805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-t-reducing-estimation-error-for-transition-matrix-in-label-noise-learning-2006.07805"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-supervision-from-noisy-demonstrations-2006.07808</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-supervision-from-noisy-demonstrations-2006.07808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-supervision-from-noisy-demonstrations-2006.07808"/></url>
<url><loc>https://scifaro.com/en/abs/optimistic-distributionally-robust-policy-optimization-2006.07815</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimistic-distributionally-robust-policy-optimization-2006.07815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimistic-distributionally-robust-policy-optimization-2006.07815"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-mapping-for-deep-regularization-2006.07822</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-mapping-for-deep-regularization-2006.07822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-mapping-for-deep-regularization-2006.07822"/></url>
<url><loc>https://scifaro.com/en/abs/class2simi-a-noise-reduction-perspective-on-learning-with-noisy-labels-2006.07831</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class2simi-a-noise-reduction-perspective-on-learning-with-noisy-labels-2006.07831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class2simi-a-noise-reduction-perspective-on-learning-with-noisy-labels-2006.07831"/></url>
<url><loc>https://scifaro.com/en/abs/part-dependent-label-noise-towards-instance-dependent-label-noise-2006.07836</loc><lastmod>2020-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/part-dependent-label-noise-towards-instance-dependent-label-noise-2006.07836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/part-dependent-label-noise-towards-instance-dependent-label-noise-2006.07836"/></url>
<url><loc>https://scifaro.com/en/abs/on-leveraging-unlabeled-data-for-concurrent-positive-unlabeled-classification-and-robust-generation-2006.07841</loc><lastmod>2025-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-leveraging-unlabeled-data-for-concurrent-positive-unlabeled-classification-and-robust-generation-2006.07841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-leveraging-unlabeled-data-for-concurrent-positive-unlabeled-classification-and-robust-generation-2006.07841"/></url>
<url><loc>https://scifaro.com/en/abs/global-attention-improves-graph-networks-generalization-2006.07846</loc><lastmod>2020-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-attention-improves-graph-networks-generalization-2006.07846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-attention-improves-graph-networks-generalization-2006.07846"/></url>
<url><loc>https://scifaro.com/en/abs/the-oarf-benchmark-suite-characterization-and-implications-for-federated-learning-systems-2006.07856</loc><lastmod>2022-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-oarf-benchmark-suite-characterization-and-implications-for-federated-learning-systems-2006.07856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-oarf-benchmark-suite-characterization-and-implications-for-federated-learning-systems-2006.07856"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-higher-order-smoothness-in-derivative-free-optimization-and-continuous-bandits-2006.07862</loc><lastmod>2022-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-higher-order-smoothness-in-derivative-free-optimization-and-continuous-bandits-2006.07862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-higher-order-smoothness-in-derivative-free-optimization-and-continuous-bandits-2006.07862"/></url>
<url><loc>https://scifaro.com/en/abs/almost-sure-convergence-rates-for-stochastic-gradient-descent-and-stochastic-heavy-ball-2006.07867</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/almost-sure-convergence-rates-for-stochastic-gradient-descent-and-stochastic-heavy-ball-2006.07867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/almost-sure-convergence-rates-for-stochastic-gradient-descent-and-stochastic-heavy-ball-2006.07867"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-multi-agent-deep-reinforcement-learning-algorithms-in-cooperative-tasks-2006.07869</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-multi-agent-deep-reinforcement-learning-algorithms-in-cooperative-tasks-2006.07869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-multi-agent-deep-reinforcement-learning-algorithms-in-cooperative-tasks-2006.07869"/></url>
<url><loc>https://scifaro.com/en/abs/gp3-a-sampling-based-analysis-framework-for-gaussian-processes-2006.07871</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gp3-a-sampling-based-analysis-framework-for-gaussian-processes-2006.07871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gp3-a-sampling-based-analysis-framework-for-gaussian-processes-2006.07871"/></url>
<url><loc>https://scifaro.com/en/abs/on-disentangled-representations-learned-from-correlated-data-2006.07886</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-disentangled-representations-learned-from-correlated-data-2006.07886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-disentangled-representations-learned-from-correlated-data-2006.07886"/></url>
<url><loc>https://scifaro.com/en/abs/graph-meta-learning-via-local-subgraphs-2006.07889</loc><lastmod>2021-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-meta-learning-via-local-subgraphs-2006.07889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-meta-learning-via-local-subgraphs-2006.07889"/></url>
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<url><loc>https://scifaro.com/en/abs/combinatorial-pure-exploration-with-full-bandit-or-partial-linear-feedback-2006.07905</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-pure-exploration-with-full-bandit-or-partial-linear-feedback-2006.07905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-pure-exploration-with-full-bandit-or-partial-linear-feedback-2006.07905"/></url>
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<url><loc>https://scifaro.com/en/abs/fake-reviews-detection-through-ensemble-learning-2006.07912</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fake-reviews-detection-through-ensemble-learning-2006.07912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fake-reviews-detection-through-ensemble-learning-2006.07912"/></url>
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<url><loc>https://scifaro.com/en/abs/generalized-adversarially-learned-inference-2006.08089</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-adversarially-learned-inference-2006.08089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-adversarially-learned-inference-2006.08089"/></url>
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<url><loc>https://scifaro.com/en/abs/exponential-tilting-of-generative-models-improving-sample-quality-by-training-and-sampling-from-latent-energy-2006.08100</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-tilting-of-generative-models-improving-sample-quality-by-training-and-sampling-from-latent-energy-2006.08100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-tilting-of-generative-models-improving-sample-quality-by-training-and-sampling-from-latent-energy-2006.08100"/></url>
<url><loc>https://scifaro.com/en/abs/classification-and-recognition-of-encrypted-eeg-data-neural-network-2006.08122</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-and-recognition-of-encrypted-eeg-data-neural-network-2006.08122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-and-recognition-of-encrypted-eeg-data-neural-network-2006.08122"/></url>
<url><loc>https://scifaro.com/en/abs/gnnguard-defending-graph-neural-networks-against-adversarial-attacks-2006.08149</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gnnguard-defending-graph-neural-networks-against-adversarial-attacks-2006.08149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gnnguard-defending-graph-neural-networks-against-adversarial-attacks-2006.08149"/></url>
<url><loc>https://scifaro.com/en/abs/fine-grained-analysis-of-stability-and-generalization-for-stochastic-gradient-descent-2006.08157</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fine-grained-analysis-of-stability-and-generalization-for-stochastic-gradient-descent-2006.08157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fine-grained-analysis-of-stability-and-generalization-for-stochastic-gradient-descent-2006.08157"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-transport-for-conditional-domain-matching-and-label-shift-2006.08161</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-transport-for-conditional-domain-matching-and-label-shift-2006.08161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-transport-for-conditional-domain-matching-and-label-shift-2006.08161"/></url>
<url><loc>https://scifaro.com/en/abs/dissimilarity-mixture-autoencoder-for-deep-clustering-2006.08177</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dissimilarity-mixture-autoencoder-for-deep-clustering-2006.08177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dissimilarity-mixture-autoencoder-for-deep-clustering-2006.08177"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-fail-to-learn-periodic-functions-and-how-to-fix-it-2006.08195</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-fail-to-learn-periodic-functions-and-how-to-fix-it-2006.08195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-fail-to-learn-periodic-functions-and-how-to-fix-it-2006.08195"/></url>
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<url><loc>https://scifaro.com/en/abs/hyperbolic-neural-networks-2006.08210</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperbolic-neural-networks-2006.08210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperbolic-neural-networks-2006.08210"/></url>
<url><loc>https://scifaro.com/en/abs/tight-nonparametric-convergence-rates-for-stochastic-gradient-descent-under-the-noiseless-linear-model-2006.08212</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-nonparametric-convergence-rates-for-stochastic-gradient-descent-under-the-noiseless-linear-model-2006.08212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-nonparametric-convergence-rates-for-stochastic-gradient-descent-under-the-noiseless-linear-model-2006.08212"/></url>
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<url><loc>https://scifaro.com/en/abs/self-supervised-learning-generative-or-contrastive-2006.08218</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-learning-generative-or-contrastive-2006.08218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-learning-generative-or-contrastive-2006.08218"/></url>
<url><loc>https://scifaro.com/en/abs/finding-trainable-sparse-networks-through-neural-tangent-transfer-2006.08228</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-trainable-sparse-networks-through-neural-tangent-transfer-2006.08228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-trainable-sparse-networks-through-neural-tangent-transfer-2006.08228"/></url>
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<url><loc>https://scifaro.com/en/abs/non-stationary-off-policy-optimization-2006.08236</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-stationary-off-policy-optimization-2006.08236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-stationary-off-policy-optimization-2006.08236"/></url>
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<url><loc>https://scifaro.com/en/abs/markov-lipschitz-deep-learning-2006.08256</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-lipschitz-deep-learning-2006.08256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-lipschitz-deep-learning-2006.08256"/></url>
<url><loc>https://scifaro.com/en/abs/robust-federated-recommendation-system-2006.08259</loc><lastmod>2020-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-federated-recommendation-system-2006.08259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-federated-recommendation-system-2006.08259"/></url>
<url><loc>https://scifaro.com/en/abs/gs-wgan-a-gradient-sanitized-approach-for-learning-differentially-private-generators-2006.08265</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gs-wgan-a-gradient-sanitized-approach-for-learning-differentially-private-generators-2006.08265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gs-wgan-a-gradient-sanitized-approach-for-learning-differentially-private-generators-2006.08265"/></url>
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<url><loc>https://scifaro.com/en/abs/intra-processing-methods-for-debiasing-neural-networks-2006.08564</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intra-processing-methods-for-debiasing-neural-networks-2006.08564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intra-processing-methods-for-debiasing-neural-networks-2006.08564"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-dataset-distillation-learn-labels-instead-of-images-2006.08572</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-dataset-distillation-learn-labels-instead-of-images-2006.08572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-dataset-distillation-learn-labels-instead-of-images-2006.08572"/></url>
<url><loc>https://scifaro.com/en/abs/neural-ensemble-search-for-uncertainty-estimation-and-dataset-shift-2006.08573</loc><lastmod>2022-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-ensemble-search-for-uncertainty-estimation-and-dataset-shift-2006.08573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-ensemble-search-for-uncertainty-estimation-and-dataset-shift-2006.08573"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-optimization-geometry-in-single-neuron-learning-2006.08575</loc><lastmod>2022-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-optimization-geometry-in-single-neuron-learning-2006.08575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-optimization-geometry-in-single-neuron-learning-2006.08575"/></url>
<url><loc>https://scifaro.com/en/abs/monotone-operator-equilibrium-networks-2006.08591</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monotone-operator-equilibrium-networks-2006.08591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monotone-operator-equilibrium-networks-2006.08591"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-local-global-and-higher-order-interactions-in-deep-learning-2006.08601</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-local-global-and-higher-order-interactions-in-deep-learning-2006.08601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-local-global-and-higher-order-interactions-in-deep-learning-2006.08601"/></url>
<url><loc>https://scifaro.com/en/abs/multiscale-deep-equilibrium-models-2006.08656</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiscale-deep-equilibrium-models-2006.08656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiscale-deep-equilibrium-models-2006.08656"/></url>
<url><loc>https://scifaro.com/en/abs/feature-space-saturation-during-training-2006.08679</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-space-saturation-during-training-2006.08679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-space-saturation-during-training-2006.08679"/></url>
<url><loc>https://scifaro.com/en/abs/shape-matters-understanding-the-implicit-bias-of-the-noise-covariance-2006.08680</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shape-matters-understanding-the-implicit-bias-of-the-noise-covariance-2006.08680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shape-matters-understanding-the-implicit-bias-of-the-noise-covariance-2006.08680"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-model-based-reinforcement-learning-through-optimistic-policy-search-and-planning-2006.08684</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-model-based-reinforcement-learning-through-optimistic-policy-search-and-planning-2006.08684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-model-based-reinforcement-learning-through-optimistic-policy-search-and-planning-2006.08684"/></url>
<url><loc>https://scifaro.com/en/abs/causal-intersectionality-for-fair-ranking-2006.08688</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-intersectionality-for-fair-ranking-2006.08688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-intersectionality-for-fair-ranking-2006.08688"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-and-scalable-optimal-sparse-decision-trees-2006.08690</loc><lastmod>2022-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-and-scalable-optimal-sparse-decision-trees-2006.08690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-and-scalable-optimal-sparse-decision-trees-2006.08690"/></url>
<url><loc>https://scifaro.com/en/abs/extrapolatable-relational-reasoning-with-comparators-in-low-dimensional-manifolds-2006.08698</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extrapolatable-relational-reasoning-with-comparators-in-low-dimensional-manifolds-2006.08698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extrapolatable-relational-reasoning-with-comparators-in-low-dimensional-manifolds-2006.08698"/></url>
<url><loc>https://scifaro.com/en/abs/explicit-gradient-learning-2006.08711</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explicit-gradient-learning-2006.08711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explicit-gradient-learning-2006.08711"/></url>
<url><loc>https://scifaro.com/en/abs/latent-bandits-revisited-2006.08714</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-bandits-revisited-2006.08714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-bandits-revisited-2006.08714"/></url>
<url><loc>https://scifaro.com/en/abs/analytic-manifold-learning-unifying-and-evaluating-representations-for-continuous-control-2006.08718</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analytic-manifold-learning-unifying-and-evaluating-representations-for-continuous-control-2006.08718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analytic-manifold-learning-unifying-and-evaluating-representations-for-continuous-control-2006.08718"/></url>
<url><loc>https://scifaro.com/en/abs/cryptonas-private-inference-on-a-relu-budget-2006.08733</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cryptonas-private-inference-on-a-relu-budget-2006.08733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cryptonas-private-inference-on-a-relu-budget-2006.08733"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-newton-can-communicate-less-and-resist-byzantine-workers-2006.08737</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-newton-can-communicate-less-and-resist-byzantine-workers-2006.08737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-newton-can-communicate-less-and-resist-byzantine-workers-2006.08737"/></url>
<url><loc>https://scifaro.com/en/abs/crush-optimism-with-pessimism-structured-bandits-beyond-asymptotic-optimality-2006.08754</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crush-optimism-with-pessimism-structured-bandits-beyond-asymptotic-optimality-2006.08754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crush-optimism-with-pessimism-structured-bandits-beyond-asymptotic-optimality-2006.08754"/></url>
<url><loc>https://scifaro.com/en/abs/learning-incompressible-fluid-dynamics-from-scratch-towards-fast-differentiable-fluid-models-that-generalize-2006.08762</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-incompressible-fluid-dynamics-from-scratch-towards-fast-differentiable-fluid-models-that-generalize-2006.08762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-incompressible-fluid-dynamics-from-scratch-towards-fast-differentiable-fluid-models-that-generalize-2006.08762"/></url>
<url><loc>https://scifaro.com/en/abs/compose-cross-modal-pseudo-siamese-network-for-patient-trial-matching-2006.08765</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compose-cross-modal-pseudo-siamese-network-for-patient-trial-matching-2006.08765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compose-cross-modal-pseudo-siamese-network-for-patient-trial-matching-2006.08765"/></url>
<url><loc>https://scifaro.com/en/abs/systematic-generalisation-through-task-temporal-logic-and-deep-reinforcement-learning-2006.08767</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/systematic-generalisation-through-task-temporal-logic-and-deep-reinforcement-learning-2006.08767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/systematic-generalisation-through-task-temporal-logic-and-deep-reinforcement-learning-2006.08767"/></url>
<url><loc>https://scifaro.com/en/abs/similarity-based-transfer-learning-of-decision-policies-2006.08768</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/similarity-based-transfer-learning-of-decision-policies-2006.08768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/similarity-based-transfer-learning-of-decision-policies-2006.08768"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-variational-representations-of-divergences-and-accelerating-their-statistical-estimation-2006.08781</loc><lastmod>2022-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-variational-representations-of-divergences-and-accelerating-their-statistical-estimation-2006.08781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-variational-representations-of-divergences-and-accelerating-their-statistical-estimation-2006.08781"/></url>
<url><loc>https://scifaro.com/en/abs/on-effective-parallelization-of-monte-carlo-tree-search-2006.08785</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-effective-parallelization-of-monte-carlo-tree-search-2006.08785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-effective-parallelization-of-monte-carlo-tree-search-2006.08785"/></url>
<url><loc>https://scifaro.com/en/abs/learning-smooth-and-fair-representations-2006.08788</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-smooth-and-fair-representations-2006.08788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-smooth-and-fair-representations-2006.08788"/></url>
<url><loc>https://scifaro.com/en/abs/fanok-knockoffs-in-linear-time-2006.08790</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fanok-knockoffs-in-linear-time-2006.08790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fanok-knockoffs-in-linear-time-2006.08790"/></url>
<url><loc>https://scifaro.com/en/abs/learnability-with-indirect-supervision-signals-2006.08791</loc><lastmod>2020-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learnability-with-indirect-supervision-signals-2006.08791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learnability-with-indirect-supervision-signals-2006.08791"/></url>
<url><loc>https://scifaro.com/en/abs/balance-is-key-private-median-splits-yield-high-utility-random-trees-2006.08795</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balance-is-key-private-median-splits-yield-high-utility-random-trees-2006.08795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balance-is-key-private-median-splits-yield-high-utility-random-trees-2006.08795"/></url>
<url><loc>https://scifaro.com/en/abs/fast-graph-attention-networks-using-effective-resistance-based-graph-sparsification-2006.08796</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-graph-attention-networks-using-effective-resistance-based-graph-sparsification-2006.08796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-graph-attention-networks-using-effective-resistance-based-graph-sparsification-2006.08796"/></url>
<url><loc>https://scifaro.com/en/abs/equilibrium-propagation-for-complete-directed-neural-networks-2006.08798</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equilibrium-propagation-for-complete-directed-neural-networks-2006.08798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equilibrium-propagation-for-complete-directed-neural-networks-2006.08798"/></url>
<url><loc>https://scifaro.com/en/abs/deep-autoencoding-topic-model-with-scalable-hybrid-bayesian-inference-2006.08804</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-autoencoding-topic-model-with-scalable-hybrid-bayesian-inference-2006.08804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-autoencoding-topic-model-with-scalable-hybrid-bayesian-inference-2006.08804"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-sliced-wasserstein-distances-2006.08812</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-sliced-wasserstein-distances-2006.08812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-sliced-wasserstein-distances-2006.08812"/></url>
<url><loc>https://scifaro.com/en/abs/signed-graph-metric-learning-via-gershgorin-disc-perfect-alignment-2006.08816</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signed-graph-metric-learning-via-gershgorin-disc-perfect-alignment-2006.08816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signed-graph-metric-learning-via-gershgorin-disc-perfect-alignment-2006.08816"/></url>
<url><loc>https://scifaro.com/en/abs/physics-aware-spatiotemporal-modules-with-auxiliary-tasks-for-meta-learning-2006.08831</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-aware-spatiotemporal-modules-with-auxiliary-tasks-for-meta-learning-2006.08831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-aware-spatiotemporal-modules-with-auxiliary-tasks-for-meta-learning-2006.08831"/></url>
<url><loc>https://scifaro.com/en/abs/mining-personalized-climate-preferences-for-assistant-driving-2006.08846</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-personalized-climate-preferences-for-assistant-driving-2006.08846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-personalized-climate-preferences-for-assistant-driving-2006.08846"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-federated-learning-with-moreau-envelopes-2006.08848</loc><lastmod>2022-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-federated-learning-with-moreau-envelopes-2006.08848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-federated-learning-with-moreau-envelopes-2006.08848"/></url>
<url><loc>https://scifaro.com/en/abs/counterexample-guided-learning-of-monotonic-neural-networks-2006.08852</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterexample-guided-learning-of-monotonic-neural-networks-2006.08852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterexample-guided-learning-of-monotonic-neural-networks-2006.08852"/></url>
<url><loc>https://scifaro.com/en/abs/robust-recovery-via-implicit-bias-of-discrepant-learning-rates-for-double-over-parameterization-2006.08857</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-recovery-via-implicit-bias-of-discrepant-learning-rates-for-double-over-parameterization-2006.08857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-recovery-via-implicit-bias-of-discrepant-learning-rates-for-double-over-parameterization-2006.08857"/></url>
<url><loc>https://scifaro.com/en/abs/generative-semantic-hashing-enhanced-via-boltzmann-machines-2006.08858</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-semantic-hashing-enhanced-via-boltzmann-machines-2006.08858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-semantic-hashing-enhanced-via-boltzmann-machines-2006.08858"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-width-for-universal-approximation-2006.08859</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-width-for-universal-approximation-2006.08859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-width-for-universal-approximation-2006.08859"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-adversarial-meta-reinforcement-learning-2006.08875</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-adversarial-meta-reinforcement-learning-2006.08875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-adversarial-meta-reinforcement-learning-2006.08875"/></url>
<url><loc>https://scifaro.com/en/abs/practical-quasi-newton-methods-for-training-deep-neural-networks-2006.08877</loc><lastmod>2021-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-quasi-newton-methods-for-training-deep-neural-networks-2006.08877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-quasi-newton-methods-for-training-deep-neural-networks-2006.08877"/></url>
<url><loc>https://scifaro.com/en/abs/deepcapture-image-spam-detection-using-deep-learning-and-data-augmentation-2006.08885</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepcapture-image-spam-detection-using-deep-learning-and-data-augmentation-2006.08885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepcapture-image-spam-detection-using-deep-learning-and-data-augmentation-2006.08885"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-generalization-bounds-for-multilayer-perceptrons-2006.08888</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-generalization-bounds-for-multilayer-perceptrons-2006.08888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-generalization-bounds-for-multilayer-perceptrons-2006.08888"/></url>
<url><loc>https://scifaro.com/en/abs/defensevgae-defending-against-adversarial-attacks-on-graph-data-via-a-variational-graph-autoencoder-2006.08900</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defensevgae-defending-against-adversarial-attacks-on-graph-data-via-a-variational-graph-autoencoder-2006.08900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defensevgae-defending-against-adversarial-attacks-on-graph-data-via-a-variational-graph-autoencoder-2006.08900"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-eligibility-traces-for-more-sample-efficient-temporal-difference-learning-2006.08906</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-eligibility-traces-for-more-sample-efficient-temporal-difference-learning-2006.08906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-eligibility-traces-for-more-sample-efficient-temporal-difference-learning-2006.08906"/></url>
<url><loc>https://scifaro.com/en/abs/robust-federated-learning-the-case-of-affine-distribution-shifts-2006.08907</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-federated-learning-the-case-of-affine-distribution-shifts-2006.08907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-federated-learning-the-case-of-affine-distribution-shifts-2006.08907"/></url>
<url><loc>https://scifaro.com/en/abs/preference-based-reinforcement-learning-with-finite-time-guarantees-2006.08910</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preference-based-reinforcement-learning-with-finite-time-guarantees-2006.08910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preference-based-reinforcement-learning-with-finite-time-guarantees-2006.08910"/></url>
<url><loc>https://scifaro.com/en/abs/calibrating-deep-neural-network-classifiers-on-out-of-distribution-datasets-2006.08914</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrating-deep-neural-network-classifiers-on-out-of-distribution-datasets-2006.08914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrating-deep-neural-network-classifiers-on-out-of-distribution-datasets-2006.08914"/></url>
<url><loc>https://scifaro.com/en/abs/least-squares-regression-with-markovian-data-fundamental-limits-and-algorithms-2006.08916</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/least-squares-regression-with-markovian-data-fundamental-limits-and-algorithms-2006.08916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/least-squares-regression-with-markovian-data-fundamental-limits-and-algorithms-2006.08916"/></url>
<url><loc>https://scifaro.com/en/abs/learning-linear-programs-from-optimal-decisions-2006.08923</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-linear-programs-from-optimal-decisions-2006.08923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-linear-programs-from-optimal-decisions-2006.08923"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dynamics-models-with-stable-invariant-sets-2006.08935</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dynamics-models-with-stable-invariant-sets-2006.08935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dynamics-models-with-stable-invariant-sets-2006.08935"/></url>
<url><loc>https://scifaro.com/en/abs/channel-relationship-prediction-with-forget-update-module-for-few-shot-classification-2006.08937</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/channel-relationship-prediction-with-forget-update-module-for-few-shot-classification-2006.08937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/channel-relationship-prediction-with-forget-update-module-for-few-shot-classification-2006.08937"/></url>
<url><loc>https://scifaro.com/en/abs/splash-learnable-activation-functions-for-improving-accuracy-and-adversarial-robustness-2006.08947</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/splash-learnable-activation-functions-for-improving-accuracy-and-adversarial-robustness-2006.08947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/splash-learnable-activation-functions-for-improving-accuracy-and-adversarial-robustness-2006.08947"/></url>
<url><loc>https://scifaro.com/en/abs/federated-accelerated-stochastic-gradient-descent-2006.08950</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-accelerated-stochastic-gradient-descent-2006.08950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-accelerated-stochastic-gradient-descent-2006.08950"/></url>
<url><loc>https://scifaro.com/en/abs/learning-continuous-time-pdes-from-sparse-data-with-graph-neural-networks-2006.08956</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-continuous-time-pdes-from-sparse-data-with-graph-neural-networks-2006.08956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-continuous-time-pdes-from-sparse-data-with-graph-neural-networks-2006.08956"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-model-complexity-of-neural-networks-with-curve-activation-functions-2006.08962</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-model-complexity-of-neural-networks-with-curve-activation-functions-2006.08962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-model-complexity-of-neural-networks-with-curve-activation-functions-2006.08962"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-model-explanations-an-axiomatic-approach-2006.08969</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-model-explanations-an-axiomatic-approach-2006.08969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-model-explanations-an-axiomatic-approach-2006.08969"/></url>
<url><loc>https://scifaro.com/en/abs/a-deterministic-approximation-to-neural-sdes-2006.08973</loc><lastmod>2022-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deterministic-approximation-to-neural-sdes-2006.08973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deterministic-approximation-to-neural-sdes-2006.08973"/></url>
<url><loc>https://scifaro.com/en/abs/federated-survival-analysis-with-discrete-time-cox-models-2006.08997</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-survival-analysis-with-discrete-time-cox-models-2006.08997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-survival-analysis-with-discrete-time-cox-models-2006.08997"/></url>
<url><loc>https://scifaro.com/en/abs/how-much-can-i-trust-you-quantifying-uncertainties-in-explaining-neural-networks-2006.09000</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-much-can-i-trust-you-quantifying-uncertainties-in-explaining-neural-networks-2006.09000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-much-can-i-trust-you-quantifying-uncertainties-in-explaining-neural-networks-2006.09000"/></url>
<url><loc>https://scifaro.com/en/abs/provable-training-set-debugging-for-linear-regression-2006.09009</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-training-set-debugging-for-linear-regression-2006.09009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-training-set-debugging-for-linear-regression-2006.09009"/></url>
<url><loc>https://scifaro.com/en/abs/improved-techniques-for-training-score-based-generative-models-2006.09011</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-techniques-for-training-score-based-generative-models-2006.09011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-techniques-for-training-score-based-generative-models-2006.09011"/></url>
<url><loc>https://scifaro.com/en/abs/estimates-on-learning-rates-for-multi-penalty-distribution-regression-2006.09017</loc><lastmod>2023-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimates-on-learning-rates-for-multi-penalty-distribution-regression-2006.09017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimates-on-learning-rates-for-multi-penalty-distribution-regression-2006.09017"/></url>
<url><loc>https://scifaro.com/en/abs/model-agnostic-combination-for-ensemble-learning-2006.09025</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-agnostic-combination-for-ensemble-learning-2006.09025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-agnostic-combination-for-ensemble-learning-2006.09025"/></url>
<url><loc>https://scifaro.com/en/abs/relational-fusion-networks-graph-convolutional-networks-for-road-networks-2006.09030</loc><lastmod>2020-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-fusion-networks-graph-convolutional-networks-for-road-networks-2006.09030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-fusion-networks-graph-convolutional-networks-for-road-networks-2006.09030"/></url>
<url><loc>https://scifaro.com/en/abs/debona-decoupled-boundary-network-analysis-for-tighter-bounds-and-faster-adversarial-robustness-proofs-2006.09040</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/debona-decoupled-boundary-network-analysis-for-tighter-bounds-and-faster-adversarial-robustness-proofs-2006.09040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/debona-decoupled-boundary-network-analysis-for-tighter-bounds-and-faster-adversarial-robustness-proofs-2006.09040"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-decoupling-of-labels-in-classification-2006.09046</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-decoupling-of-labels-in-classification-2006.09046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-decoupling-of-labels-in-classification-2006.09046"/></url>
<url><loc>https://scifaro.com/en/abs/reusing-trained-layers-of-convolutional-neural-networks-to-shorten-hyperparameters-tuning-time-2006.09083</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reusing-trained-layers-of-convolutional-neural-networks-to-shorten-hyperparameters-tuning-time-2006.09083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reusing-trained-layers-of-convolutional-neural-networks-to-shorten-hyperparameters-tuning-time-2006.09083"/></url>
<url><loc>https://scifaro.com/en/abs/mcrapper-monte-carlo-rademacher-averages-for-poset-families-and-approximate-pattern-mining-2006.09085</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcrapper-monte-carlo-rademacher-averages-for-poset-families-and-approximate-pattern-mining-2006.09085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcrapper-monte-carlo-rademacher-averages-for-poset-families-and-approximate-pattern-mining-2006.09085"/></url>
<url><loc>https://scifaro.com/en/abs/the-bures-metric-for-generative-adversarial-networks-2006.09096</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-bures-metric-for-generative-adversarial-networks-2006.09096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-bures-metric-for-generative-adversarial-networks-2006.09096"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-solve-vehicle-routing-problems-with-time-windows-through-joint-attention-2006.09100</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-solve-vehicle-routing-problems-with-time-windows-through-joint-attention-2006.09100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-solve-vehicle-routing-problems-with-time-windows-through-joint-attention-2006.09100"/></url>
<url><loc>https://scifaro.com/en/abs/new-interpretations-of-normalization-methods-in-deep-learning-2006.09104</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-interpretations-of-normalization-methods-in-deep-learning-2006.09104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-interpretations-of-normalization-methods-in-deep-learning-2006.09104"/></url>
<url><loc>https://scifaro.com/en/abs/unified-svm-algorithm-based-on-ls-dc-loss-2006.09111</loc><lastmod>2022-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-svm-algorithm-based-on-ls-dc-loss-2006.09111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-svm-algorithm-based-on-ls-dc-loss-2006.09111"/></url>
<url><loc>https://scifaro.com/en/abs/q-learning-with-logarithmic-regret-2006.09118</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/q-learning-with-logarithmic-regret-2006.09118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/q-learning-with-logarithmic-regret-2006.09118"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-the-role-of-gradient-based-attribution-methods-for-model-interpretability-2006.09128</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-the-role-of-gradient-based-attribution-methods-for-model-interpretability-2006.09128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-the-role-of-gradient-based-attribution-methods-for-model-interpretability-2006.09128"/></url>
<url><loc>https://scifaro.com/en/abs/model-explanations-with-differential-privacy-2006.09129</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-explanations-with-differential-privacy-2006.09129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-explanations-with-differential-privacy-2006.09129"/></url>
<url><loc>https://scifaro.com/en/abs/when-does-self-supervision-help-graph-convolutional-networks-2006.09136</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-does-self-supervision-help-graph-convolutional-networks-2006.09136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-does-self-supervision-help-graph-convolutional-networks-2006.09136"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-outstanding-subgroup-lists-for-numeric-targets-using-mdl-2006.09186</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-outstanding-subgroup-lists-for-numeric-targets-using-mdl-2006.09186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-outstanding-subgroup-lists-for-numeric-targets-using-mdl-2006.09186"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-optimization-in-the-latent-space-of-deep-generative-models-via-weighted-retraining-2006.09191</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-optimization-in-the-latent-space-of-deep-generative-models-via-weighted-retraining-2006.09191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-optimization-in-the-latent-space-of-deep-generative-models-via-weighted-retraining-2006.09191"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-global-loss-landscape-of-one-hidden-layer-relu-networks-part-2-experiments-and-analysis-2006.09192</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-global-loss-landscape-of-one-hidden-layer-relu-networks-part-2-experiments-and-analysis-2006.09192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-global-loss-landscape-of-one-hidden-layer-relu-networks-part-2-experiments-and-analysis-2006.09192"/></url>
<url><loc>https://scifaro.com/en/abs/plumenet-large-scale-air-quality-forecasting-using-a-convolutional-lstm-network-2006.09204</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plumenet-large-scale-air-quality-forecasting-using-a-convolutional-lstm-network-2006.09204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plumenet-large-scale-air-quality-forecasting-using-a-convolutional-lstm-network-2006.09204"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-based-value-functions-2006.09226</loc><lastmod>2021-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-based-value-functions-2006.09226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-based-value-functions-2006.09226"/></url>
<url><loc>https://scifaro.com/en/abs/focus-of-attention-improves-information-transfer-in-visual-features-2006.09229</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/focus-of-attention-improves-information-transfer-in-visual-features-2006.09229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/focus-of-attention-improves-information-transfer-in-visual-features-2006.09229"/></url>
<url><loc>https://scifaro.com/en/abs/hessian-free-high-resolution-nesterov-acceleration-for-sampling-2006.09230</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hessian-free-high-resolution-nesterov-acceleration-for-sampling-2006.09230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hessian-free-high-resolution-nesterov-acceleration-for-sampling-2006.09230"/></url>
<url><loc>https://scifaro.com/en/abs/model-embedding-model-based-reinforcement-learning-2006.09234</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-embedding-model-based-reinforcement-learning-2006.09234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-embedding-model-based-reinforcement-learning-2006.09234"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-network-uncertainty-estimation-without-ood-samples-via-density-based-pseudo-counts-2006.09239</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-network-uncertainty-estimation-without-ood-samples-via-density-based-pseudo-counts-2006.09239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-network-uncertainty-estimation-without-ood-samples-via-density-based-pseudo-counts-2006.09239"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-on-using-cnns-for-fast-radio-signal-prediction-2006.09245</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-on-using-cnns-for-fast-radio-signal-prediction-2006.09245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-on-using-cnns-for-fast-radio-signal-prediction-2006.09245"/></url>
<url><loc>https://scifaro.com/en/abs/prior-knowledge-distillation-based-on-financial-time-series-2006.09247</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prior-knowledge-distillation-based-on-financial-time-series-2006.09247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prior-knowledge-distillation-based-on-financial-time-series-2006.09247"/></url>
<url><loc>https://scifaro.com/en/abs/improving-graph-neural-network-expressivity-via-subgraph-isomorphism-counting-2006.09252</loc><lastmod>2023-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-graph-neural-network-expressivity-via-subgraph-isomorphism-counting-2006.09252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-graph-neural-network-expressivity-via-subgraph-isomorphism-counting-2006.09252"/></url>
<url><loc>https://scifaro.com/en/abs/corralling-stochastic-bandit-algorithms-2006.09255</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/corralling-stochastic-bandit-algorithms-2006.09255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/corralling-stochastic-bandit-algorithms-2006.09255"/></url>
<url><loc>https://scifaro.com/en/abs/structured-and-localized-image-restoration-2006.09261</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-and-localized-image-restoration-2006.09261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-and-localized-image-restoration-2006.09261"/></url>
<url><loc>https://scifaro.com/en/abs/bonsai-net-one-shot-neural-architecture-search-via-differentiable-pruners-2006.09264</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bonsai-net-one-shot-neural-architecture-search-via-differentiable-pruners-2006.09264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bonsai-net-one-shot-neural-architecture-search-via-differentiable-pruners-2006.09264"/></url>
<url><loc>https://scifaro.com/en/abs/metrizing-weak-convergence-with-maximum-mean-discrepancies-2006.09268</loc><lastmod>2021-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metrizing-weak-convergence-with-maximum-mean-discrepancies-2006.09268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metrizing-weak-convergence-with-maximum-mean-discrepancies-2006.09268"/></url>
<url><loc>https://scifaro.com/en/abs/density-of-states-estimation-for-out-of-distribution-detection-2006.09273</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-of-states-estimation-for-out-of-distribution-detection-2006.09273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-of-states-estimation-for-out-of-distribution-detection-2006.09273"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-computational-power-of-transformers-and-its-implications-in-sequence-modeling-2006.09286</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-computational-power-of-transformers-and-its-implications-in-sequence-modeling-2006.09286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-computational-power-of-transformers-and-its-implications-in-sequence-modeling-2006.09286"/></url>
<url><loc>https://scifaro.com/en/abs/isometric-autoencoders-2006.09289</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/isometric-autoencoders-2006.09289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/isometric-autoencoders-2006.09289"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-constrained-gaussian-process-regression-approaches-and-implementation-challenges-2006.09319</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-constrained-gaussian-process-regression-approaches-and-implementation-challenges-2006.09319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-constrained-gaussian-process-regression-approaches-and-implementation-challenges-2006.09319"/></url>
<url><loc>https://scifaro.com/en/abs/the-sample-complexity-of-teaching-by-reinforcement-on-q-learning-2006.09324</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-sample-complexity-of-teaching-by-reinforcement-on-q-learning-2006.09324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-sample-complexity-of-teaching-by-reinforcement-on-q-learning-2006.09324"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-mitigating-exploding-inverses-in-invertible-neural-networks-2006.09347</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-mitigating-exploding-inverses-in-invertible-neural-networks-2006.09347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-mitigating-exploding-inverses-in-invertible-neural-networks-2006.09347"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-the-global-convergence-of-multilayer-neural-networks-in-the-mean-field-regime-2006.09355</loc><lastmod>2020-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-the-global-convergence-of-multilayer-neural-networks-in-the-mean-field-regime-2006.09355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-the-global-convergence-of-multilayer-neural-networks-in-the-mean-field-regime-2006.09355"/></url>
<url><loc>https://scifaro.com/en/abs/directional-pruning-of-deep-neural-networks-2006.09358</loc><lastmod>2020-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directional-pruning-of-deep-neural-networks-2006.09358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directional-pruning-of-deep-neural-networks-2006.09358"/></url>
<url><loc>https://scifaro.com/en/abs/awac-accelerating-online-reinforcement-learning-with-offline-datasets-2006.09359</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/awac-accelerating-online-reinforcement-learning-with-offline-datasets-2006.09359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/awac-accelerating-online-reinforcement-learning-with-offline-datasets-2006.09359"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-free-minimax-optimization-variance-reduction-and-faster-convergence-2006.09361</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-free-minimax-optimization-variance-reduction-and-faster-convergence-2006.09361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-free-minimax-optimization-variance-reduction-and-faster-convergence-2006.09361"/></url>
<url><loc>https://scifaro.com/en/abs/building-one-shot-semi-supervised-boss-learning-up-to-fully-supervised-performance-2006.09363</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-one-shot-semi-supervised-boss-learning-up-to-fully-supervised-performance-2006.09363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-one-shot-semi-supervised-boss-learning-up-to-fully-supervised-performance-2006.09363"/></url>
<url><loc>https://scifaro.com/en/abs/byzantine-robust-learning-on-heterogeneous-datasets-via-bucketing-2006.09365</loc><lastmod>2023-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/byzantine-robust-learning-on-heterogeneous-datasets-via-bucketing-2006.09365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/byzantine-robust-learning-on-heterogeneous-datasets-via-bucketing-2006.09365"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-embedding-for-graph-learning-2006.09430</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-embedding-for-graph-learning-2006.09430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-embedding-for-graph-learning-2006.09430"/></url>
<url><loc>https://scifaro.com/en/abs/samba-safe-model-based-active-reinforcement-learning-2006.09436</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/samba-safe-model-based-active-reinforcement-learning-2006.09436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/samba-safe-model-based-active-reinforcement-learning-2006.09436"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-compositional-generalization-in-neural-models-2006.09437</loc><lastmod>2020-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-compositional-generalization-in-neural-models-2006.09437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-compositional-generalization-in-neural-models-2006.09437"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-bandits-with-deficient-support-2006.09438</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-bandits-with-deficient-support-2006.09438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-bandits-with-deficient-support-2006.09438"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-regression-with-dividing-local-gaussian-processes-2006.09446</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-regression-with-dividing-local-gaussian-processes-2006.09446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-regression-with-dividing-local-gaussian-processes-2006.09446"/></url>
<url><loc>https://scifaro.com/en/abs/agent-modelling-under-partial-observability-for-deep-reinforcement-learning-2006.09447</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agent-modelling-under-partial-observability-for-deep-reinforcement-learning-2006.09447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agent-modelling-under-partial-observability-for-deep-reinforcement-learning-2006.09447"/></url>
<url><loc>https://scifaro.com/en/abs/network-diffusions-via-neural-mean-field-dynamics-2006.09449</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-diffusions-via-neural-mean-field-dynamics-2006.09449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-diffusions-via-neural-mean-field-dynamics-2006.09449"/></url>
<url><loc>https://scifaro.com/en/abs/tell-me-something-i-don-t-know-randomization-strategies-for-iterative-data-mining-2006.09467</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tell-me-something-i-don-t-know-randomization-strategies-for-iterative-data-mining-2006.09467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tell-me-something-i-don-t-know-randomization-strategies-for-iterative-data-mining-2006.09467"/></url>
<url><loc>https://scifaro.com/en/abs/untangling-tradeoffs-between-recurrence-and-self-attention-in-neural-networks-2006.09471</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/untangling-tradeoffs-between-recurrence-and-self-attention-in-neural-networks-2006.09471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/untangling-tradeoffs-between-recurrence-and-self-attention-in-neural-networks-2006.09471"/></url>
<url><loc>https://scifaro.com/en/abs/partial-policy-iteration-for-l1-robust-markov-decision-processes-2006.09484</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-policy-iteration-for-l1-robust-markov-decision-processes-2006.09484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-policy-iteration-for-l1-robust-markov-decision-processes-2006.09484"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-meta-learning-with-task-specific-adaptation-over-partial-parameters-2006.09486</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-meta-learning-with-task-specific-adaptation-over-partial-parameters-2006.09486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-meta-learning-with-task-specific-adaptation-over-partial-parameters-2006.09486"/></url>
<url><loc>https://scifaro.com/en/abs/task-agnostic-exploration-in-reinforcement-learning-2006.09497</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-agnostic-exploration-in-reinforcement-learning-2006.09497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-agnostic-exploration-in-reinforcement-learning-2006.09497"/></url>
<url><loc>https://scifaro.com/en/abs/walk-message-passing-neural-networks-and-second-order-graph-neural-networks-2006.09499</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/walk-message-passing-neural-networks-and-second-order-graph-neural-networks-2006.09499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/walk-message-passing-neural-networks-and-second-order-graph-neural-networks-2006.09499"/></url>
<url><loc>https://scifaro.com/en/abs/logic-of-machine-learning-2006.09500</loc><lastmod>2022-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logic-of-machine-learning-2006.09500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logic-of-machine-learning-2006.09500"/></url>
<url><loc>https://scifaro.com/en/abs/memory-efficient-pipeline-parallel-dnn-training-2006.09503</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-efficient-pipeline-parallel-dnn-training-2006.09503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-efficient-pipeline-parallel-dnn-training-2006.09503"/></url>
<url><loc>https://scifaro.com/en/abs/solving-the-order-batching-and-sequencing-problem-using-deep-reinforcement-learning-2006.09507</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-the-order-batching-and-sequencing-problem-using-deep-reinforcement-learning-2006.09507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-the-order-batching-and-sequencing-problem-using-deep-reinforcement-learning-2006.09507"/></url>
<url><loc>https://scifaro.com/en/abs/linear-last-iterate-convergence-in-constrained-saddle-point-optimization-2006.09517</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-last-iterate-convergence-in-constrained-saddle-point-optimization-2006.09517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-last-iterate-convergence-in-constrained-saddle-point-optimization-2006.09517"/></url>
<url><loc>https://scifaro.com/en/abs/decomposable-families-of-itemsets-2006.09533</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decomposable-families-of-itemsets-2006.09533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decomposable-families-of-itemsets-2006.09533"/></url>
<url><loc>https://scifaro.com/en/abs/multipole-graph-neural-operator-for-parametric-partial-differential-equations-2006.09535</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multipole-graph-neural-operator-for-parametric-partial-differential-equations-2006.09535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multipole-graph-neural-operator-for-parametric-partial-differential-equations-2006.09535"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-and-rewarding-teamwork-using-cooperative-game-abstractions-2006.09538</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-and-rewarding-teamwork-using-cooperative-game-abstractions-2006.09538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-and-rewarding-teamwork-using-cooperative-game-abstractions-2006.09538"/></url>
<url><loc>https://scifaro.com/en/abs/advmind-inferring-adversary-intent-of-black-box-attacks-2006.09539</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advmind-inferring-adversary-intent-of-black-box-attacks-2006.09539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advmind-inferring-adversary-intent-of-black-box-attacks-2006.09539"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-control-with-learned-dynamics-model-based-versus-model-free-approach-2006.09543</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-control-with-learned-dynamics-model-based-versus-model-free-approach-2006.09543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-control-with-learned-dynamics-model-based-versus-model-free-approach-2006.09543"/></url>
<url><loc>https://scifaro.com/en/abs/go-with-the-flow-adaptive-control-for-neural-odes-2006.09545</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/go-with-the-flow-adaptive-control-for-neural-odes-2006.09545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/go-with-the-flow-adaptive-control-for-neural-odes-2006.09545"/></url>
<url><loc>https://scifaro.com/en/abs/isometric-graph-neural-networks-2006.09554</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/isometric-graph-neural-networks-2006.09554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/isometric-graph-neural-networks-2006.09554"/></url>
<url><loc>https://scifaro.com/en/abs/fine-grained-stochastic-architecture-search-2006.09581</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fine-grained-stochastic-architecture-search-2006.09581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fine-grained-stochastic-architecture-search-2006.09581"/></url>
<url><loc>https://scifaro.com/en/abs/learning-what-to-defer-for-maximum-independent-sets-2006.09607</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-what-to-defer-for-maximum-independent-sets-2006.09607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-what-to-defer-for-maximum-independent-sets-2006.09607"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-tensor-rematerialization-2006.09616</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-tensor-rematerialization-2006.09616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-tensor-rematerialization-2006.09616"/></url>
<url><loc>https://scifaro.com/en/abs/solving-constrained-cash-problems-with-admm-2006.09635</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-constrained-cash-problems-with-admm-2006.09635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-constrained-cash-problems-with-admm-2006.09635"/></url>
<url><loc>https://scifaro.com/en/abs/fedcd-improving-performance-in-non-iid-federated-learning-2006.09637</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedcd-improving-performance-in-non-iid-federated-learning-2006.09637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedcd-improving-performance-in-non-iid-federated-learning-2006.09637"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-curriculum-learning-through-value-disagreement-2006.09641</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-curriculum-learning-through-value-disagreement-2006.09641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-curriculum-learning-through-value-disagreement-2006.09641"/></url>
<url><loc>https://scifaro.com/en/abs/parameterized-mdps-and-reinforcement-learning-problems-a-maximum-entropy-principle-based-framework-2006.09646</loc><lastmod>2022-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameterized-mdps-and-reinforcement-learning-problems-a-maximum-entropy-principle-based-framework-2006.09646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameterized-mdps-and-reinforcement-learning-problems-a-maximum-entropy-principle-based-framework-2006.09646"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-regret-minimization-for-multi-criterion-multi-armed-bandits-2006.09649</loc><lastmod>2023-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-regret-minimization-for-multi-criterion-multi-armed-bandits-2006.09649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-regret-minimization-for-multi-criterion-multi-armed-bandits-2006.09649"/></url>
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<url><loc>https://scifaro.com/en/abs/optimizing-grouped-convolutions-on-edge-devices-2006.09791</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-grouped-convolutions-on-edge-devices-2006.09791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-grouped-convolutions-on-edge-devices-2006.09791"/></url>
<url><loc>https://scifaro.com/en/abs/mix2fld-downlink-federated-learning-after-uplink-federated-distillation-with-two-way-mixup-2006.09801</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mix2fld-downlink-federated-learning-after-uplink-federated-distillation-with-two-way-mixup-2006.09801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mix2fld-downlink-federated-learning-after-uplink-federated-distillation-with-two-way-mixup-2006.09801"/></url>
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<url><loc>https://scifaro.com/en/abs/green-simulation-assisted-reinforcement-learning-with-model-risk-for-biomanufacturing-learning-and-control-2006.09919</loc><lastmod>2020-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/green-simulation-assisted-reinforcement-learning-with-model-risk-for-biomanufacturing-learning-and-control-2006.09919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/green-simulation-assisted-reinforcement-learning-with-model-risk-for-biomanufacturing-learning-and-control-2006.09919"/></url>
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<url><loc>https://scifaro.com/en/abs/socially-fair-k-means-clustering-2006.10085</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/socially-fair-k-means-clustering-2006.10085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/socially-fair-k-means-clustering-2006.10085"/></url>
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<url><loc>https://scifaro.com/en/abs/stochastic-bandits-with-linear-constraints-2006.10185</loc><lastmod>2020-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-bandits-with-linear-constraints-2006.10185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-bandits-with-linear-constraints-2006.10185"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-minimum-description-length-complexity-in-overparameterized-models-2006.10189</loc><lastmod>2023-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-minimum-description-length-complexity-in-overparameterized-models-2006.10189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-minimum-description-length-complexity-in-overparameterized-models-2006.10189"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-track-dynamic-targets-in-partially-known-environments-2006.10190</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-track-dynamic-targets-in-partially-known-environments-2006.10190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-track-dynamic-targets-in-partially-known-environments-2006.10190"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-role-of-sparsity-and-dag-constraints-for-learning-linear-dags-2006.10201</loc><lastmod>2021-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-role-of-sparsity-and-dag-constraints-for-learning-linear-dags-2006.10201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-role-of-sparsity-and-dag-constraints-for-learning-linear-dags-2006.10201"/></url>
<url><loc>https://scifaro.com/en/abs/record-fusion-a-learning-approach-2006.10208</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/record-fusion-a-learning-approach-2006.10208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/record-fusion-a-learning-approach-2006.10208"/></url>
<url><loc>https://scifaro.com/en/abs/i-bert-inductive-generalization-of-transformer-to-arbitrary-context-lengths-2006.10220</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/i-bert-inductive-generalization-of-transformer-to-arbitrary-context-lengths-2006.10220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/i-bert-inductive-generalization-of-transformer-to-arbitrary-context-lengths-2006.10220"/></url>
<url><loc>https://scifaro.com/en/abs/class-attentive-diffusion-network-for-semi-supervised-classification-2006.10222</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-attentive-diffusion-network-for-semi-supervised-classification-2006.10222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-attentive-diffusion-network-for-semi-supervised-classification-2006.10222"/></url>
<url><loc>https://scifaro.com/en/abs/on-sparsity-in-overparametrised-shallow-relu-networks-2006.10225</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-sparsity-in-overparametrised-shallow-relu-networks-2006.10225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-sparsity-in-overparametrised-shallow-relu-networks-2006.10225"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-meta-learning-through-latent-space-interpolation-in-generative-models-2006.10236</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-meta-learning-through-latent-space-interpolation-in-generative-models-2006.10236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-meta-learning-through-latent-space-interpolation-in-generative-models-2006.10236"/></url>
<url><loc>https://scifaro.com/en/abs/robust-unsupervised-learning-of-temporal-dynamic-interactions-2006.10241</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-unsupervised-learning-of-temporal-dynamic-interactions-2006.10241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-unsupervised-learning-of-temporal-dynamic-interactions-2006.10241"/></url>
<url><loc>https://scifaro.com/en/abs/the-recurrent-neural-tangent-kernel-2006.10246</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-recurrent-neural-tangent-kernel-2006.10246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-recurrent-neural-tangent-kernel-2006.10246"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-challenges-in-the-application-of-graph-representation-learning-2006.10252</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-challenges-in-the-application-of-graph-representation-learning-2006.10252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-challenges-in-the-application-of-graph-representation-learning-2006.10252"/></url>
<url><loc>https://scifaro.com/en/abs/calibrated-reliable-regression-using-maximum-mean-discrepancy-2006.10255</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrated-reliable-regression-using-maximum-mean-discrepancy-2006.10255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrated-reliable-regression-using-maximum-mean-discrepancy-2006.10255"/></url>
<url><loc>https://scifaro.com/en/abs/a-tutorial-on-vaes-from-bayes-rule-to-lossless-compression-2006.10273</loc><lastmod>2020-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-vaes-from-bayes-rule-to-lossless-compression-2006.10273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-vaes-from-bayes-rule-to-lossless-compression-2006.10273"/></url>
<url><loc>https://scifaro.com/en/abs/gat-gmm-generative-adversarial-training-for-gaussian-mixture-models-2006.10293</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gat-gmm-generative-adversarial-training-for-gaussian-mixture-models-2006.10293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gat-gmm-generative-adversarial-training-for-gaussian-mixture-models-2006.10293"/></url>
<url><loc>https://scifaro.com/en/abs/neural-architecture-optimization-with-graph-vae-2006.10310</loc><lastmod>2020-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-architecture-optimization-with-graph-vae-2006.10310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-architecture-optimization-with-graph-vae-2006.10310"/></url>
<url><loc>https://scifaro.com/en/abs/mmcgan-generative-adversarial-network-with-explicit-manifold-prior-2006.10331</loc><lastmod>2020-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mmcgan-generative-adversarial-network-with-explicit-manifold-prior-2006.10331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mmcgan-generative-adversarial-network-with-explicit-manifold-prior-2006.10331"/></url>
<url><loc>https://scifaro.com/en/abs/category-specific-cnn-for-visual-aware-ctr-prediction-at-jd-com-2006.10337</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/category-specific-cnn-for-visual-aware-ctr-prediction-at-jd-com-2006.10337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/category-specific-cnn-for-visual-aware-ctr-prediction-at-jd-com-2006.10337"/></url>
<url><loc>https://scifaro.com/en/abs/advances-in-black-box-vi-normalizing-flows-importance-weighting-and-optimization-2006.10343</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advances-in-black-box-vi-normalizing-flows-importance-weighting-and-optimization-2006.10343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advances-in-black-box-vi-normalizing-flows-importance-weighting-and-optimization-2006.10343"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-methods-through-the-roof-handling-billions-of-points-efficiently-2006.10350</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-methods-through-the-roof-handling-billions-of-points-efficiently-2006.10350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-methods-through-the-roof-handling-billions-of-points-efficiently-2006.10350"/></url>
<url><loc>https://scifaro.com/en/abs/drnas-dirichlet-neural-architecture-search-2006.10355</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drnas-dirichlet-neural-architecture-search-2006.10355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drnas-dirichlet-neural-architecture-search-2006.10355"/></url>
<url><loc>https://scifaro.com/en/abs/learning-by-repetition-stochastic-multi-armed-bandits-under-priming-effect-2006.10356</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-by-repetition-stochastic-multi-armed-bandits-under-priming-effect-2006.10356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-by-repetition-stochastic-multi-armed-bandits-under-priming-effect-2006.10356"/></url>
<url><loc>https://scifaro.com/en/abs/omba-user-guided-product-representations-for-online-market-basket-analysis-2006.10396</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/omba-user-guided-product-representations-for-online-market-basket-analysis-2006.10396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/omba-user-guided-product-representations-for-online-market-basket-analysis-2006.10396"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-model-inherent-variable-importance-for-stable-online-feature-selection-2006.10398</loc><lastmod>2020-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-model-inherent-variable-importance-for-stable-online-feature-selection-2006.10398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-model-inherent-variable-importance-for-stable-online-feature-selection-2006.10398"/></url>
<url><loc>https://scifaro.com/en/abs/dream-deep-regret-minimization-with-advantage-baselines-and-model-free-learning-2006.10410</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dream-deep-regret-minimization-with-advantage-baselines-and-model-free-learning-2006.10410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dream-deep-regret-minimization-with-advantage-baselines-and-model-free-learning-2006.10410"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-bottleneck-neural-networks-for-exploratory-non-linear-visualization-of-patch-seq-data-2006.10411</loc><lastmod>2022-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-bottleneck-neural-networks-for-exploratory-non-linear-visualization-of-patch-seq-data-2006.10411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-bottleneck-neural-networks-for-exploratory-non-linear-visualization-of-patch-seq-data-2006.10411"/></url>
<url><loc>https://scifaro.com/en/abs/towards-open-ad-hoc-teamwork-using-graph-based-policy-learning-2006.10412</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-open-ad-hoc-teamwork-using-graph-based-policy-learning-2006.10412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-open-ad-hoc-teamwork-using-graph-based-policy-learning-2006.10412"/></url>
<url><loc>https://scifaro.com/en/abs/an-investigation-of-the-weight-space-to-monitor-the-training-progress-of-neural-networks-2006.10424</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-investigation-of-the-weight-space-to-monitor-the-training-progress-of-neural-networks-2006.10424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-investigation-of-the-weight-space-to-monitor-the-training-progress-of-neural-networks-2006.10424"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-value-function-approximation-for-collaborative-multi-agent-reinforcement-learning-2006.10443</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-value-function-approximation-for-collaborative-multi-agent-reinforcement-learning-2006.10443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-value-function-approximation-for-collaborative-multi-agent-reinforcement-learning-2006.10443"/></url>
<url><loc>https://scifaro.com/en/abs/confident-off-policy-evaluation-and-selection-through-self-normalized-importance-weighting-2006.10460</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confident-off-policy-evaluation-and-selection-through-self-normalized-importance-weighting-2006.10460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confident-off-policy-evaluation-and-selection-through-self-normalized-importance-weighting-2006.10460"/></url>
<url><loc>https://scifaro.com/en/abs/auxiliary-task-learning-for-geographic-data-with-autoregressive-embeddings-2006.10461</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auxiliary-task-learning-for-geographic-data-with-autoregressive-embeddings-2006.10461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auxiliary-task-learning-for-geographic-data-with-autoregressive-embeddings-2006.10461"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-decision-making-with-conditional-fairness-2006.10483</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-decision-making-with-conditional-fairness-2006.10483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-decision-making-with-conditional-fairness-2006.10483"/></url>
<url><loc>https://scifaro.com/en/abs/se-3-transformers-3d-roto-translation-equivariant-attention-networks-2006.10503</loc><lastmod>2020-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/se-3-transformers-3d-roto-translation-equivariant-attention-networks-2006.10503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/se-3-transformers-3d-roto-translation-equivariant-attention-networks-2006.10503"/></url>
<url><loc>https://scifaro.com/en/abs/self-attention-enhanced-patient-journey-understanding-in-healthcare-system-2006.10516</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-attention-enhanced-patient-journey-understanding-in-healthcare-system-2006.10516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-attention-enhanced-patient-journey-understanding-in-healthcare-system-2006.10516"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-technology-to-help-millions-of-people-federated-prediction-model-for-stroke-prevention-2006.10517</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-technology-to-help-millions-of-people-federated-prediction-model-for-stroke-prevention-2006.10517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-technology-to-help-millions-of-people-federated-prediction-model-for-stroke-prevention-2006.10517"/></url>
<url><loc>https://scifaro.com/en/abs/improving-post-training-neural-quantization-layer-wise-calibration-and-integer-programming-2006.10518</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-post-training-neural-quantization-layer-wise-calibration-and-integer-programming-2006.10518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-post-training-neural-quantization-layer-wise-calibration-and-integer-programming-2006.10518"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-low-rank-preserving-embedding-a-novel-method-for-multi-view-representation-2006.10520</loc><lastmod>2020-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-low-rank-preserving-embedding-a-novel-method-for-multi-view-representation-2006.10520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-low-rank-preserving-embedding-a-novel-method-for-multi-view-representation-2006.10520"/></url>
<url><loc>https://scifaro.com/en/abs/lstm-trajgan-a-deep-learning-approach-to-trajectory-privacy-protection-2006.10521</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lstm-trajgan-a-deep-learning-approach-to-trajectory-privacy-protection-2006.10521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lstm-trajgan-a-deep-learning-approach-to-trajectory-privacy-protection-2006.10521"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-as-iterative-and-amortised-inference-2006.10524</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-as-iterative-and-amortised-inference-2006.10524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-as-iterative-and-amortised-inference-2006.10524"/></url>
<url><loc>https://scifaro.com/en/abs/starcraft-ii-build-order-optimization-using-deep-reinforcement-learning-and-monte-carlo-tree-search-2006.10525</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/starcraft-ii-build-order-optimization-using-deep-reinforcement-learning-and-monte-carlo-tree-search-2006.10525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/starcraft-ii-build-order-optimization-using-deep-reinforcement-learning-and-monte-carlo-tree-search-2006.10525"/></url>
<url><loc>https://scifaro.com/en/abs/neural-path-features-and-neural-path-kernel-understanding-the-role-of-gates-in-deep-learning-2006.10529</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-path-features-and-neural-path-kernel-understanding-the-role-of-gates-in-deep-learning-2006.10529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-path-features-and-neural-path-kernel-understanding-the-role-of-gates-in-deep-learning-2006.10529"/></url>
<url><loc>https://scifaro.com/en/abs/limeout-an-ensemble-approach-to-improve-process-fairness-2006.10531</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limeout-an-ensemble-approach-to-improve-process-fairness-2006.10531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limeout-an-ensemble-approach-to-improve-process-fairness-2006.10531"/></url>
<url><loc>https://scifaro.com/en/abs/subgraph-neural-networks-2006.10538</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subgraph-neural-networks-2006.10538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subgraph-neural-networks-2006.10538"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-federated-neural-architecture-search-2006.10559</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-federated-neural-architecture-search-2006.10559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-federated-neural-architecture-search-2006.10559"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-amplification-an-efficient-way-to-train-deep-neural-networks-2006.10560</loc><lastmod>2020-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-amplification-an-efficient-way-to-train-deep-neural-networks-2006.10560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-amplification-an-efficient-way-to-train-deep-neural-networks-2006.10560"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-in-gradient-boosting-via-ensembles-2006.10562</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-in-gradient-boosting-via-ensembles-2006.10562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-in-gradient-boosting-via-ensembles-2006.10562"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-free-inference-with-deep-gaussian-processes-2006.10571</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-free-inference-with-deep-gaussian-processes-2006.10571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-free-inference-with-deep-gaussian-processes-2006.10571"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-lower-bounds-for-transfer-learning-with-linear-and-one-hidden-layer-neural-networks-2006.10581</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-lower-bounds-for-transfer-learning-with-linear-and-one-hidden-layer-neural-networks-2006.10581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-lower-bounds-for-transfer-learning-with-linear-and-one-hidden-layer-neural-networks-2006.10581"/></url>
<url><loc>https://scifaro.com/en/abs/neural-parameter-allocation-search-2006.10598</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-parameter-allocation-search-2006.10598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-parameter-allocation-search-2006.10598"/></url>
<url><loc>https://scifaro.com/en/abs/constraining-variational-inference-with-geometric-jensen-shannon-divergence-2006.10599</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constraining-variational-inference-with-geometric-jensen-shannon-divergence-2006.10599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constraining-variational-inference-with-geometric-jensen-shannon-divergence-2006.10599"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-hyperparameter-optimization-under-multi-source-covariate-shift-2006.10600</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-hyperparameter-optimization-under-multi-source-covariate-shift-2006.10600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-hyperparameter-optimization-under-multi-source-covariate-shift-2006.10600"/></url>
<url><loc>https://scifaro.com/en/abs/the-clever-hans-effect-in-anomaly-detection-2006.10609</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-clever-hans-effect-in-anomaly-detection-2006.10609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-clever-hans-effect-in-anomaly-detection-2006.10609"/></url>
<url><loc>https://scifaro.com/en/abs/competitive-policy-optimization-2006.10611</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/competitive-policy-optimization-2006.10611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/competitive-policy-optimization-2006.10611"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-decompositions-in-recursive-neural-networks-for-tree-structured-data-2006.10619</loc><lastmod>2020-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-decompositions-in-recursive-neural-networks-for-tree-structured-data-2006.10619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-decompositions-in-recursive-neural-networks-for-tree-structured-data-2006.10619"/></url>
<url><loc>https://scifaro.com/en/abs/local-competition-and-uncertainty-for-adversarial-robustness-in-deep-learning-2006.10620</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-competition-and-uncertainty-for-adversarial-robustness-in-deep-learning-2006.10620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-competition-and-uncertainty-for-adversarial-robustness-in-deep-learning-2006.10620"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-predictability-of-pruning-across-scales-2006.10621</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-predictability-of-pruning-across-scales-2006.10621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-predictability-of-pruning-across-scales-2006.10621"/></url>
<url><loc>https://scifaro.com/en/abs/offline-detection-of-change-points-in-the-mean-for-stationary-graph-signals-2006.10628</loc><lastmod>2024-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-detection-of-change-points-in-the-mean-for-stationary-graph-signals-2006.10628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-detection-of-change-points-in-the-mean-for-stationary-graph-signals-2006.10628"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-graph-networks-for-deep-learning-on-dynamic-graphs-2006.10637</loc><lastmod>2020-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-graph-networks-for-deep-learning-on-dynamic-graphs-2006.10637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-graph-networks-for-deep-learning-on-dynamic-graphs-2006.10637"/></url>
<url><loc>https://scifaro.com/en/abs/erdos-goes-neural-an-unsupervised-learning-framework-for-combinatorial-optimization-on-graphs-2006.10643</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/erdos-goes-neural-an-unsupervised-learning-framework-for-combinatorial-optimization-on-graphs-2006.10643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/erdos-goes-neural-an-unsupervised-learning-framework-for-combinatorial-optimization-on-graphs-2006.10643"/></url>
<url><loc>https://scifaro.com/en/abs/precise-expressions-for-random-projections-low-rank-approximation-and-randomized-newton-2006.10653</loc><lastmod>2022-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/precise-expressions-for-random-projections-low-rank-approximation-and-randomized-newton-2006.10653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/precise-expressions-for-random-projections-low-rank-approximation-and-randomized-newton-2006.10653"/></url>
<url><loc>https://scifaro.com/en/abs/robust-group-subspace-recovery-a-new-approach-for-multi-modality-data-fusion-2006.10657</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-group-subspace-recovery-a-new-approach-for-multi-modality-data-fusion-2006.10657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-group-subspace-recovery-a-new-approach-for-multi-modality-data-fusion-2006.10657"/></url>
<url><loc>https://scifaro.com/en/abs/towards-threshold-invariant-fair-classification-2006.10667</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-threshold-invariant-fair-classification-2006.10667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-threshold-invariant-fair-classification-2006.10667"/></url>
<url><loc>https://scifaro.com/en/abs/disarm-an-antithetic-gradient-estimator-for-binary-latent-variables-2006.10680</loc><lastmod>2020-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disarm-an-antithetic-gradient-estimator-for-binary-latent-variables-2006.10680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disarm-an-antithetic-gradient-estimator-for-binary-latent-variables-2006.10680"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-amidst-lifelong-non-stationarity-2006.10701</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-amidst-lifelong-non-stationarity-2006.10701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-amidst-lifelong-non-stationarity-2006.10701"/></url>
<url><loc>https://scifaro.com/en/abs/set-distribution-networks-a-generative-model-for-sets-of-images-2006.10705</loc><lastmod>2020-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/set-distribution-networks-a-generative-model-for-sets-of-images-2006.10705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/set-distribution-networks-a-generative-model-for-sets-of-images-2006.10705"/></url>
<url><loc>https://scifaro.com/en/abs/steer-simple-temporal-regularization-for-neural-odes-2006.10711</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/steer-simple-temporal-regularization-for-neural-odes-2006.10711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/steer-simple-temporal-regularization-for-neural-odes-2006.10711"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-learning-with-common-sense-knowledge-graphs-2006.10713</loc><lastmod>2022-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-learning-with-common-sense-knowledge-graphs-2006.10713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-learning-with-common-sense-knowledge-graphs-2006.10713"/></url>
<url><loc>https://scifaro.com/en/abs/list-decodable-mean-estimation-via-iterative-multi-filtering-2006.10715</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/list-decodable-mean-estimation-via-iterative-multi-filtering-2006.10715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/list-decodable-mean-estimation-via-iterative-multi-filtering-2006.10715"/></url>
<url><loc>https://scifaro.com/en/abs/ireen-reverse-engineering-of-black-box-functions-via-iterative-neural-program-synthesis-2006.10720</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ireen-reverse-engineering-of-black-box-functions-via-iterative-neural-program-synthesis-2006.10720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ireen-reverse-engineering-of-black-box-functions-via-iterative-neural-program-synthesis-2006.10720"/></url>
<url><loc>https://scifaro.com/en/abs/tent-fully-test-time-adaptation-by-entropy-minimization-2006.10726</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tent-fully-test-time-adaptation-by-entropy-minimization-2006.10726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tent-fully-test-time-adaptation-by-entropy-minimization-2006.10726"/></url>
<url><loc>https://scifaro.com/en/abs/forward-prediction-for-physical-reasoning-2006.10734</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forward-prediction-for-physical-reasoning-2006.10734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forward-prediction-for-physical-reasoning-2006.10734"/></url>
<url><loc>https://scifaro.com/en/abs/learning-invariant-representations-for-reinforcement-learning-without-reconstruction-2006.10742</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-invariant-representations-for-reinforcement-learning-without-reconstruction-2006.10742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-invariant-representations-for-reinforcement-learning-without-reconstruction-2006.10742"/></url>
<url><loc>https://scifaro.com/en/abs/ai-feynman-2-0-pareto-optimal-symbolic-regression-exploiting-graph-modularity-2006.10782</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ai-feynman-2-0-pareto-optimal-symbolic-regression-exploiting-graph-modularity-2006.10782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ai-feynman-2-0-pareto-optimal-symbolic-regression-exploiting-graph-modularity-2006.10782"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-qmix-expanding-monotonic-value-function-factorisation-for-deep-multi-agent-reinforcement-learning-2006.10800</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-qmix-expanding-monotonic-value-function-factorisation-for-deep-multi-agent-reinforcement-learning-2006.10800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-qmix-expanding-monotonic-value-function-factorisation-for-deep-multi-agent-reinforcement-learning-2006.10800"/></url>
<url><loc>https://scifaro.com/en/abs/supervision-accelerates-pre-training-in-contrastive-semi-supervised-learning-of-visual-representations-2006.10803</loc><lastmod>2020-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervision-accelerates-pre-training-in-contrastive-semi-supervised-learning-of-visual-representations-2006.10803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervision-accelerates-pre-training-in-contrastive-semi-supervised-learning-of-visual-representations-2006.10803"/></url>
<url><loc>https://scifaro.com/en/abs/reparameterized-variational-divergence-minimization-for-stable-imitation-2006.10810</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reparameterized-variational-divergence-minimization-for-stable-imitation-2006.10810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reparameterized-variational-divergence-minimization-for-stable-imitation-2006.10810"/></url>
<url><loc>https://scifaro.com/en/abs/flambe-structural-complexity-and-representation-learning-of-low-rank-mdps-2006.10814</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flambe-structural-complexity-and-representation-learning-of-low-rank-mdps-2006.10814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flambe-structural-complexity-and-representation-learning-of-low-rank-mdps-2006.10814"/></url>
<url><loc>https://scifaro.com/en/abs/automatically-learning-compact-quality-aware-surrogates-for-optimization-problems-2006.10815</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatically-learning-compact-quality-aware-surrogates-for-optimization-problems-2006.10815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatically-learning-compact-quality-aware-surrogates-for-optimization-problems-2006.10815"/></url>
<url><loc>https://scifaro.com/en/abs/cooperative-multi-agent-reinforcement-learning-with-partial-observations-2006.10822</loc><lastmod>2023-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cooperative-multi-agent-reinforcement-learning-with-partial-observations-2006.10822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cooperative-multi-agent-reinforcement-learning-with-partial-observations-2006.10822"/></url>
<url><loc>https://scifaro.com/en/abs/stability-of-internal-states-in-recurrent-neural-networks-trained-on-regular-languages-2006.10828</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-of-internal-states-in-recurrent-neural-networks-trained-on-regular-languages-2006.10828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-of-internal-states-in-recurrent-neural-networks-trained-on-regular-languages-2006.10828"/></url>
<url><loc>https://scifaro.com/en/abs/amortized-causal-discovery-learning-to-infer-causal-graphs-from-time-series-data-2006.10833</loc><lastmod>2022-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortized-causal-discovery-learning-to-infer-causal-graphs-from-time-series-data-2006.10833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortized-causal-discovery-learning-to-infer-causal-graphs-from-time-series-data-2006.10833"/></url>
<url><loc>https://scifaro.com/en/abs/an-integer-linear-programming-framework-for-mining-constraints-from-data-2006.10836</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-integer-linear-programming-framework-for-mining-constraints-from-data-2006.10836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-integer-linear-programming-framework-for-mining-constraints-from-data-2006.10836"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-anomaly-detection-with-deep-invertible-networks-through-hierarchies-of-distributions-and-features-2006.10848</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-anomaly-detection-with-deep-invertible-networks-through-hierarchies-of-distributions-and-features-2006.10848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-anomaly-detection-with-deep-invertible-networks-through-hierarchies-of-distributions-and-features-2006.10848"/></url>
<url><loc>https://scifaro.com/en/abs/mars-masked-automatic-ranks-selection-in-tensor-decompositions-2006.10859</loc><lastmod>2023-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mars-masked-automatic-ranks-selection-in-tensor-decompositions-2006.10859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mars-masked-automatic-ranks-selection-in-tensor-decompositions-2006.10859"/></url>
<url><loc>https://scifaro.com/en/abs/peregrinn-penalized-relaxation-greedy-neural-network-verifier-2006.10864</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/peregrinn-penalized-relaxation-greedy-neural-network-verifier-2006.10864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/peregrinn-penalized-relaxation-greedy-neural-network-verifier-2006.10864"/></url>
<url><loc>https://scifaro.com/en/abs/provably-adaptive-reinforcement-learning-in-metric-spaces-2006.10875</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-adaptive-reinforcement-learning-in-metric-spaces-2006.10875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-adaptive-reinforcement-learning-in-metric-spaces-2006.10875"/></url>
<url><loc>https://scifaro.com/en/abs/beware-the-black-box-on-the-robustness-of-recent-defenses-to-adversarial-examples-2006.10876</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beware-the-black-box-on-the-robustness-of-recent-defenses-to-adversarial-examples-2006.10876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beware-the-black-box-on-the-robustness-of-recent-defenses-to-adversarial-examples-2006.10876"/></url>
<url><loc>https://scifaro.com/en/abs/the-dilemma-between-data-transformations-and-adversarial-robustness-for-time-series-application-systems-2006.10885</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-dilemma-between-data-transformations-and-adversarial-robustness-for-time-series-application-systems-2006.10885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-dilemma-between-data-transformations-and-adversarial-robustness-for-time-series-application-systems-2006.10885"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-ridesharing-dispatch-using-multi-agent-reinforcement-learning-2006.10897</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-ridesharing-dispatch-using-multi-agent-reinforcement-learning-2006.10897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-ridesharing-dispatch-using-multi-agent-reinforcement-learning-2006.10897"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-gpu-kernels-for-deep-learning-2006.10901</loc><lastmod>2020-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-gpu-kernels-for-deep-learning-2006.10901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-gpu-kernels-for-deep-learning-2006.10901"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-weight-importance-and-hessian-bias-in-model-pruning-2006.10903</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-weight-importance-and-hessian-bias-in-model-pruning-2006.10903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-weight-importance-and-hessian-bias-in-model-pruning-2006.10903"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-fair-clustering-2006.10916</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-fair-clustering-2006.10916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-fair-clustering-2006.10916"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effect-of-normalization-layers-on-differentially-private-training-of-deep-neural-networks-2006.10919</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effect-of-normalization-layers-on-differentially-private-training-of-deep-neural-networks-2006.10919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effect-of-normalization-layers-on-differentially-private-training-of-deep-neural-networks-2006.10919"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-in-rkhs-with-importance-labeling-2006.10925</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-in-rkhs-with-importance-labeling-2006.10925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-in-rkhs-with-importance-labeling-2006.10925"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-role-of-data-in-pac-bayes-bounds-2006.10929</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-role-of-data-in-pac-bayes-bounds-2006.10929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-role-of-data-in-pac-bayes-bounds-2006.10929"/></url>
<url><loc>https://scifaro.com/en/abs/pervasive-lying-posture-tracking-2006.10931</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pervasive-lying-posture-tracking-2006.10931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pervasive-lying-posture-tracking-2006.10931"/></url>
<url><loc>https://scifaro.com/en/abs/fedfmc-sequential-efficient-federated-learning-on-non-iid-data-2006.10937</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedfmc-sequential-efficient-federated-learning-on-non-iid-data-2006.10937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedfmc-sequential-efficient-federated-learning-on-non-iid-data-2006.10937"/></url>
<url><loc>https://scifaro.com/en/abs/open-problem-model-selection-for-contextual-bandits-2006.10940</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-problem-model-selection-for-contextual-bandits-2006.10940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-problem-model-selection-for-contextual-bandits-2006.10940"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-with-missing-inputs-2006.10948</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-with-missing-inputs-2006.10948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-with-missing-inputs-2006.10948"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-prediction-time-batch-normalization-for-robustness-under-covariate-shift-2006.10963</loc><lastmod>2021-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-prediction-time-batch-normalization-for-robustness-under-covariate-shift-2006.10963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-prediction-time-batch-normalization-for-robustness-under-covariate-shift-2006.10963"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-and-generalization-of-regularization-based-continual-learning-a-loss-approximation-viewpoint-2006.10974</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-and-generalization-of-regularization-based-continual-learning-a-loss-approximation-viewpoint-2006.10974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-and-generalization-of-regularization-based-continual-learning-a-loss-approximation-viewpoint-2006.10974"/></url>
<url><loc>https://scifaro.com/en/abs/nrowan-dqn-a-stable-noisy-network-with-noise-reduction-and-online-weight-adjustment-for-exploration-2006.10980</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nrowan-dqn-a-stable-noisy-network-with-noise-reduction-and-online-weight-adjustment-for-exploration-2006.10980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nrowan-dqn-a-stable-noisy-network-with-noise-reduction-and-online-weight-adjustment-for-exploration-2006.10980"/></url>
<url><loc>https://scifaro.com/en/abs/monash-university-uea-ucr-time-series-extrinsic-regression-archive-2006.10996</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monash-university-uea-ucr-time-series-extrinsic-regression-archive-2006.10996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monash-university-uea-ucr-time-series-extrinsic-regression-archive-2006.10996"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-for-multi-view-deep-models-2006.11004</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-for-multi-view-deep-models-2006.11004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-for-multi-view-deep-models-2006.11004"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-and-algorithmic-insights-for-semi-supervised-learning-with-self-training-2006.11006</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-and-algorithmic-insights-for-semi-supervised-learning-with-self-training-2006.11006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-and-algorithmic-insights-for-semi-supervised-learning-with-self-training-2006.11006"/></url>
<url><loc>https://scifaro.com/en/abs/towards-an-adversarially-robust-normalization-approach-2006.11007</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-an-adversarially-robust-normalization-approach-2006.11007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-an-adversarially-robust-normalization-approach-2006.11007"/></url>
<url><loc>https://scifaro.com/en/abs/fair-clustering-via-equitable-group-representations-2006.11009</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-clustering-via-equitable-group-representations-2006.11009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-clustering-via-equitable-group-representations-2006.11009"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-boosting-machine-with-partially-randomized-decision-trees-2006.11014</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-boosting-machine-with-partially-randomized-decision-trees-2006.11014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-boosting-machine-with-partially-randomized-decision-trees-2006.11014"/></url>
<url><loc>https://scifaro.com/en/abs/a-better-alternative-to-error-feedback-for-communication-efficient-distributed-learning-2006.11077</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-better-alternative-to-error-feedback-for-communication-efficient-distributed-learning-2006.11077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-better-alternative-to-error-feedback-for-communication-efficient-distributed-learning-2006.11077"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-language-model-adversarial-attacks-on-categorical-sequence-classifiers-2006.11078</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-language-model-adversarial-attacks-on-categorical-sequence-classifiers-2006.11078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-language-model-adversarial-attacks-on-categorical-sequence-classifiers-2006.11078"/></url>
<url><loc>https://scifaro.com/en/abs/a-reinforcement-learning-approach-for-transient-control-of-liquid-rocket-engines-2006.11108</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reinforcement-learning-approach-for-transient-control-of-liquid-rocket-engines-2006.11108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reinforcement-learning-approach-for-transient-control-of-liquid-rocket-engines-2006.11108"/></url>
<url><loc>https://scifaro.com/en/abs/graph-pooling-with-node-proximity-for-hierarchical-representation-learning-2006.11118</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-pooling-with-node-proximity-for-hierarchical-representation-learning-2006.11118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-pooling-with-node-proximity-for-hierarchical-representation-learning-2006.11118"/></url>
<url><loc>https://scifaro.com/en/abs/from-discrete-to-continuous-convolution-layers-2006.11120</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-discrete-to-continuous-convolution-layers-2006.11120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-discrete-to-continuous-convolution-layers-2006.11120"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-for-defining-and-optimizing-robustness-2006.11122</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-for-defining-and-optimizing-robustness-2006.11122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-for-defining-and-optimizing-robustness-2006.11122"/></url>
<url><loc>https://scifaro.com/en/abs/poisson-learning-graph-based-semi-supervised-learning-at-very-low-label-rates-2006.11184</loc><lastmod>2020-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisson-learning-graph-based-semi-supervised-learning-at-very-low-label-rates-2006.11184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisson-learning-graph-based-semi-supervised-learning-at-very-low-label-rates-2006.11184"/></url>
<url><loc>https://scifaro.com/en/abs/does-explainable-artificial-intelligence-improve-human-decision-making-2006.11194</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-explainable-artificial-intelligence-improve-human-decision-making-2006.11194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-explainable-artificial-intelligence-improve-human-decision-making-2006.11194"/></url>
<url><loc>https://scifaro.com/en/abs/abstract-diagrammatic-reasoning-with-multiplex-graph-networks-2006.11197</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abstract-diagrammatic-reasoning-with-multiplex-graph-networks-2006.11197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abstract-diagrammatic-reasoning-with-multiplex-graph-networks-2006.11197"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-variational-autoencoders-with-term-wise-gradient-aggregation-2006.11204</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-variational-autoencoders-with-term-wise-gradient-aggregation-2006.11204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-variational-autoencoders-with-term-wise-gradient-aggregation-2006.11204"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-follows-the-regularization-path-for-general-losses-2006.11226</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-follows-the-regularization-path-for-general-losses-2006.11226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-follows-the-regularization-path-for-general-losses-2006.11226"/></url>
<url><loc>https://scifaro.com/en/abs/denoising-diffusion-probabilistic-models-2006.11239</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/denoising-diffusion-probabilistic-models-2006.11239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/denoising-diffusion-probabilistic-models-2006.11239"/></url>
<url><loc>https://scifaro.com/en/abs/an-operator-view-of-policy-gradient-methods-2006.11266</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-operator-view-of-policy-gradient-methods-2006.11266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-operator-view-of-policy-gradient-methods-2006.11266"/></url>
<url><loc>https://scifaro.com/en/abs/fast-matrix-square-roots-with-applications-to-gaussian-processes-and-bayesian-optimization-2006.11267</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-matrix-square-roots-with-applications-to-gaussian-processes-and-bayesian-optimization-2006.11267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-matrix-square-roots-with-applications-to-gaussian-processes-and-bayesian-optimization-2006.11267"/></url>
<url><loc>https://scifaro.com/en/abs/on-reward-free-reinforcement-learning-with-linear-function-approximation-2006.11274</loc><lastmod>2020-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-reward-free-reinforcement-learning-with-linear-function-approximation-2006.11274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-reward-free-reinforcement-learning-with-linear-function-approximation-2006.11274"/></url>
<url><loc>https://scifaro.com/en/abs/self-pu-self-boosted-and-calibrated-positive-unlabeled-training-2006.11280</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-pu-self-boosted-and-calibrated-positive-unlabeled-training-2006.11280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-pu-self-boosted-and-calibrated-positive-unlabeled-training-2006.11280"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-implementations-of-echo-state-network-cross-validation-2006.11282</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-implementations-of-echo-state-network-cross-validation-2006.11282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-implementations-of-echo-state-network-cross-validation-2006.11282"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-symbolic-models-from-deep-learning-with-inductive-biases-2006.11287</loc><lastmod>2020-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-symbolic-models-from-deep-learning-with-inductive-biases-2006.11287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-symbolic-models-from-deep-learning-with-inductive-biases-2006.11287"/></url>
<url><loc>https://scifaro.com/en/abs/autood-automated-outlier-detection-via-curiosity-guided-search-and-self-imitation-learning-2006.11321</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autood-automated-outlier-detection-via-curiosity-guided-search-and-self-imitation-learning-2006.11321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autood-automated-outlier-detection-via-curiosity-guided-search-and-self-imitation-learning-2006.11321"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-prototypical-transfer-learning-for-few-shot-classification-2006.11325</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-prototypical-transfer-learning-for-few-shot-classification-2006.11325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-prototypical-transfer-learning-for-few-shot-classification-2006.11325"/></url>
<url><loc>https://scifaro.com/en/abs/class-normalization-for-continual-generalized-zero-shot-learning-2006.11328</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-normalization-for-continual-generalized-zero-shot-learning-2006.11328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-normalization-for-continual-generalized-zero-shot-learning-2006.11328"/></url>
<url><loc>https://scifaro.com/en/abs/certifying-clusters-from-sum-of-norms-clustering-2006.11355</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certifying-clusters-from-sum-of-norms-clustering-2006.11355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certifying-clusters-from-sum-of-norms-clustering-2006.11355"/></url>
<url><loc>https://scifaro.com/en/abs/supporting-optimal-phase-space-reconstructions-using-neural-network-architecture-for-time-series-modeling-2006.11381</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supporting-optimal-phase-space-reconstructions-using-neural-network-architecture-for-time-series-modeling-2006.11381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supporting-optimal-phase-space-reconstructions-using-neural-network-architecture-for-time-series-modeling-2006.11381"/></url>
<url><loc>https://scifaro.com/en/abs/new-insights-into-learning-with-correntropy-based-regression-2006.11390</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-insights-into-learning-with-correntropy-based-regression-2006.11390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-insights-into-learning-with-correntropy-based-regression-2006.11390"/></url>
<url><loc>https://scifaro.com/en/abs/fisar-forward-invariant-safe-reinforcement-learning-with-a-deep-neural-network-based-optimize-2006.11419</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fisar-forward-invariant-safe-reinforcement-learning-with-a-deep-neural-network-based-optimize-2006.11419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fisar-forward-invariant-safe-reinforcement-learning-with-a-deep-neural-network-based-optimize-2006.11419"/></url>
<url><loc>https://scifaro.com/en/abs/an-ode-to-an-ode-2006.11421</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-ode-to-an-ode-2006.11421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-ode-to-an-ode-2006.11421"/></url>
<url><loc>https://scifaro.com/en/abs/band-limited-soft-actor-critic-model-2006.11431</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/band-limited-soft-actor-critic-model-2006.11431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/band-limited-soft-actor-critic-model-2006.11431"/></url>
<url><loc>https://scifaro.com/en/abs/online-kernel-based-generative-adversarial-networks-2006.11432</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-kernel-based-generative-adversarial-networks-2006.11432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-kernel-based-generative-adversarial-networks-2006.11432"/></url>
<url><loc>https://scifaro.com/en/abs/deep-implicit-coordination-graphs-for-multi-agent-reinforcement-learning-2006.11438</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-implicit-coordination-graphs-for-multi-agent-reinforcement-learning-2006.11438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-implicit-coordination-graphs-for-multi-agent-reinforcement-learning-2006.11438"/></url>
<url><loc>https://scifaro.com/en/abs/task-agnostic-online-reinforcement-learning-with-an-infinite-mixture-of-gaussian-processes-2006.11441</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-agnostic-online-reinforcement-learning-with-an-infinite-mixture-of-gaussian-processes-2006.11441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-agnostic-online-reinforcement-learning-with-an-infinite-mixture-of-gaussian-processes-2006.11441"/></url>
<url><loc>https://scifaro.com/en/abs/model-family-selection-for-classification-using-neural-decision-trees-2006.11458</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-family-selection-for-classification-using-neural-decision-trees-2006.11458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-family-selection-for-classification-using-neural-decision-trees-2006.11458"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-homophily-in-graph-neural-networks-current-limitations-and-effective-designs-2006.11468</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-homophily-in-graph-neural-networks-current-limitations-and-effective-designs-2006.11468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-homophily-in-graph-neural-networks-current-limitations-and-effective-designs-2006.11468"/></url>
<url><loc>https://scifaro.com/en/abs/coupling-based-invertible-neural-networks-are-universal-diffeomorphism-approximators-2006.11469</loc><lastmod>2020-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupling-based-invertible-neural-networks-are-universal-diffeomorphism-approximators-2006.11469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupling-based-invertible-neural-networks-are-universal-diffeomorphism-approximators-2006.11469"/></url>
<url><loc>https://scifaro.com/en/abs/representation-via-representations-domain-generalization-via-adversarially-learned-invariant-representations-2006.11478</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-via-representations-domain-generalization-via-adversarially-learned-invariant-representations-2006.11478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-via-representations-domain-generalization-via-adversarially-learned-invariant-representations-2006.11478"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-temporal-sets-with-deep-neural-networks-2006.11483</loc><lastmod>2020-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-temporal-sets-with-deep-neural-networks-2006.11483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-temporal-sets-with-deep-neural-networks-2006.11483"/></url>
<url><loc>https://scifaro.com/en/abs/generating-adjacency-constrained-subgoals-in-hierarchical-reinforcement-learning-2006.11485</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-adjacency-constrained-subgoals-in-hierarchical-reinforcement-learning-2006.11485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-adjacency-constrained-subgoals-in-hierarchical-reinforcement-learning-2006.11485"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-accurate-labeling-information-from-partially-valid-data-for-effective-multi-label-learning-2006.11488</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-accurate-labeling-information-from-partially-valid-data-for-effective-multi-label-learning-2006.11488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-accurate-labeling-information-from-partially-valid-data-for-effective-multi-label-learning-2006.11488"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-meets-multi-objective-optimization-2006.11489</loc><lastmod>2023-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-meets-multi-objective-optimization-2006.11489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-meets-multi-objective-optimization-2006.11489"/></url>
<url><loc>https://scifaro.com/en/abs/blind-descent-a-prequel-to-gradient-descent-2006.11505</loc><lastmod>2020-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blind-descent-a-prequel-to-gradient-descent-2006.11505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blind-descent-a-prequel-to-gradient-descent-2006.11505"/></url>
<url><loc>https://scifaro.com/en/abs/neuro-symbolic-visual-reasoning-disentangling-visual-from-reasoning-2006.11524</loc><lastmod>2020-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuro-symbolic-visual-reasoning-disentangling-visual-from-reasoning-2006.11524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuro-symbolic-visual-reasoning-disentangling-visual-from-reasoning-2006.11524"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-convolutional-neural-network-model-for-rapid-prediction-of-fluvial-flood-inundation-2006.11555</loc><lastmod>2020-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-convolutional-neural-network-model-for-rapid-prediction-of-fluvial-flood-inundation-2006.11555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-convolutional-neural-network-model-for-rapid-prediction-of-fluvial-flood-inundation-2006.11555"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-shortest-path-with-adversarially-changing-costs-2006.11561</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-shortest-path-with-adversarially-changing-costs-2006.11561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-shortest-path-with-adversarially-changing-costs-2006.11561"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-correlated-synapses-promote-dimension-reduction-in-deep-neural-networks-2006.11569</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-correlated-synapses-promote-dimension-reduction-in-deep-neural-networks-2006.11569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-correlated-synapses-promote-dimension-reduction-in-deep-neural-networks-2006.11569"/></url>
<url><loc>https://scifaro.com/en/abs/unified-analysis-of-stochastic-gradient-methods-for-composite-convex-and-smooth-optimization-2006.11573</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-analysis-of-stochastic-gradient-methods-for-composite-convex-and-smooth-optimization-2006.11573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-analysis-of-stochastic-gradient-methods-for-composite-convex-and-smooth-optimization-2006.11573"/></url>
<url><loc>https://scifaro.com/en/abs/a3t-gcn-attention-temporal-graph-convolutional-network-for-traffic-forecasting-2006.11583</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a3t-gcn-attention-temporal-graph-convolutional-network-for-traffic-forecasting-2006.11583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a3t-gcn-attention-temporal-graph-convolutional-network-for-traffic-forecasting-2006.11583"/></url>
<url><loc>https://scifaro.com/en/abs/calibration-of-model-uncertainty-for-dropout-variational-inference-2006.11584</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibration-of-model-uncertainty-for-dropout-variational-inference-2006.11584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibration-of-model-uncertainty-for-dropout-variational-inference-2006.11584"/></url>
<url><loc>https://scifaro.com/en/abs/regression-prior-networks-2006.11590</loc><lastmod>2020-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-prior-networks-2006.11590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-prior-networks-2006.11590"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-privacy-preserving-deep-learning-how-to-evaluate-and-thwart-privacy-attacks-2006.11601</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-privacy-preserving-deep-learning-how-to-evaluate-and-thwart-privacy-attacks-2006.11601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-privacy-preserving-deep-learning-how-to-evaluate-and-thwart-privacy-attacks-2006.11601"/></url>
<url><loc>https://scifaro.com/en/abs/robust-reinforcement-learning-using-least-squares-policy-iteration-with-provable-performance-guarantees-2006.11608</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-reinforcement-learning-using-least-squares-policy-iteration-with-provable-performance-guarantees-2006.11608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-reinforcement-learning-using-least-squares-policy-iteration-with-provable-performance-guarantees-2006.11608"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-identification-of-partially-observed-systems-with-certainty-equivalent-em-2006.11615</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-identification-of-partially-observed-systems-with-certainty-equivalent-em-2006.11615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-identification-of-partially-observed-systems-with-certainty-equivalent-em-2006.11615"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-model-uncertainty-of-neural-networks-in-sparse-information-form-2006.11631</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-model-uncertainty-of-neural-networks-in-sparse-information-form-2006.11631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-model-uncertainty-of-neural-networks-in-sparse-information-form-2006.11631"/></url>
<url><loc>https://scifaro.com/en/abs/from-predictions-to-decisions-using-lookahead-regularization-2006.11638</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-predictions-to-decisions-using-lookahead-regularization-2006.11638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-predictions-to-decisions-using-lookahead-regularization-2006.11638"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-safe-reinforcement-learning-with-constraint-mismatched-policies-2006.11645</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-safe-reinforcement-learning-with-constraint-mismatched-policies-2006.11645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-safe-reinforcement-learning-with-constraint-mismatched-policies-2006.11645"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimal-elimination-algorithm-for-learning-a-best-arm-2006.11647</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimal-elimination-algorithm-for-learning-a-best-arm-2006.11647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimal-elimination-algorithm-for-learning-a-best-arm-2006.11647"/></url>
<url><loc>https://scifaro.com/en/abs/training-overparametrized-neural-networks-in-near-linear-time-2006.11648</loc><lastmod>2020-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-overparametrized-neural-networks-in-near-linear-time-2006.11648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-overparametrized-neural-networks-in-near-linear-time-2006.11648"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-theory-of-transfer-learning-the-importance-of-task-diversity-2006.11650</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-theory-of-transfer-learning-the-importance-of-task-diversity-2006.11650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-theory-of-transfer-learning-the-importance-of-task-diversity-2006.11650"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-label-smoothing-2006.11653</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-label-smoothing-2006.11653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-label-smoothing-2006.11653"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactually-guided-off-policy-transfer-in-clinical-settings-2006.11654</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactually-guided-off-policy-transfer-in-clinical-settings-2006.11654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactually-guided-off-policy-transfer-in-clinical-settings-2006.11654"/></url>
<url><loc>https://scifaro.com/en/abs/exact-partitioning-of-high-order-planted-models-with-a-tensor-nuclear-norm-constraint-2006.11666</loc><lastmod>2022-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-partitioning-of-high-order-planted-models-with-a-tensor-nuclear-norm-constraint-2006.11666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-partitioning-of-high-order-planted-models-with-a-tensor-nuclear-norm-constraint-2006.11666"/></url>
<url><loc>https://scifaro.com/en/abs/collective-learning-by-ensembles-of-altruistic-diversifying-neural-networks-2006.11671</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collective-learning-by-ensembles-of-altruistic-diversifying-neural-networks-2006.11671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collective-learning-by-ensembles-of-altruistic-diversifying-neural-networks-2006.11671"/></url>
<url><loc>https://scifaro.com/en/abs/langevin-dynamics-for-adaptive-inverse-reinforcement-learning-of-stochastic-gradient-algorithms-2006.11674</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/langevin-dynamics-for-adaptive-inverse-reinforcement-learning-of-stochastic-gradient-algorithms-2006.11674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/langevin-dynamics-for-adaptive-inverse-reinforcement-learning-of-stochastic-gradient-algorithms-2006.11674"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotically-optimal-exact-minibatch-metropolis-hastings-2006.11677</loc><lastmod>2022-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotically-optimal-exact-minibatch-metropolis-hastings-2006.11677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotically-optimal-exact-minibatch-metropolis-hastings-2006.11677"/></url>
<url><loc>https://scifaro.com/en/abs/entropic-risk-constrained-soft-robust-policy-optimization-2006.11679</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropic-risk-constrained-soft-robust-policy-optimization-2006.11679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropic-risk-constrained-soft-robust-policy-optimization-2006.11679"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-process-approach-to-the-union-bound-practical-algorithms-for-combinatorial-and-linear-bandits-2006.11685</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-process-approach-to-the-union-bound-practical-algorithms-for-combinatorial-and-linear-bandits-2006.11685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-process-approach-to-the-union-bound-practical-algorithms-for-combinatorial-and-linear-bandits-2006.11685"/></url>
<url><loc>https://scifaro.com/en/abs/the-gaussian-transform-2006.11698</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-gaussian-transform-2006.11698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-gaussian-transform-2006.11698"/></url>
<url><loc>https://scifaro.com/en/abs/a-universal-representation-transformer-layer-for-few-shot-image-classification-2006.11702</loc><lastmod>2020-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-universal-representation-transformer-layer-for-few-shot-image-classification-2006.11702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-universal-representation-transformer-layer-for-few-shot-image-classification-2006.11702"/></url>
<url><loc>https://scifaro.com/en/abs/verifying-individual-fairness-in-machine-learning-models-2006.11737</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/verifying-individual-fairness-in-machine-learning-models-2006.11737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/verifying-individual-fairness-in-machine-learning-models-2006.11737"/></url>
<url><loc>https://scifaro.com/en/abs/sample-factory-egocentric-3d-control-from-pixels-at-100000-fps-with-asynchronous-reinforcement-learning-2006.11751</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-factory-egocentric-3d-control-from-pixels-at-100000-fps-with-asynchronous-reinforcement-learning-2006.11751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-factory-egocentric-3d-control-from-pixels-at-100000-fps-with-asynchronous-reinforcement-learning-2006.11751"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-em-bayesian-meta-learning-2006.11764</loc><lastmod>2020-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-em-bayesian-meta-learning-2006.11764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-em-bayesian-meta-learning-2006.11764"/></url>
<url><loc>https://scifaro.com/en/abs/applications-of-koopman-mode-analysis-to-neural-networks-2006.11765</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applications-of-koopman-mode-analysis-to-neural-networks-2006.11765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applications-of-koopman-mode-analysis-to-neural-networks-2006.11765"/></url>
<url><loc>https://scifaro.com/en/abs/network-moments-extensions-and-sparse-smooth-attacks-2006.11776</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-moments-extensions-and-sparse-smooth-attacks-2006.11776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-moments-extensions-and-sparse-smooth-attacks-2006.11776"/></url>
<url><loc>https://scifaro.com/en/abs/missing-features-reconstruction-using-a-wasserstein-generative-adversarial-imputation-network-2006.11783</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/missing-features-reconstruction-using-a-wasserstein-generative-adversarial-imputation-network-2006.11783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/missing-features-reconstruction-using-a-wasserstein-generative-adversarial-imputation-network-2006.11783"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-theoretical-equivalence-of-several-trade-off-curves-assessing-statistical-proximity-2006.11809</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-theoretical-equivalence-of-several-trade-off-curves-assessing-statistical-proximity-2006.11809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-theoretical-equivalence-of-several-trade-off-curves-assessing-statistical-proximity-2006.11809"/></url>
<url><loc>https://scifaro.com/en/abs/an-opportunistic-bandit-approach-for-user-interface-experimentation-2006.11873</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-opportunistic-bandit-approach-for-user-interface-experimentation-2006.11873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-opportunistic-bandit-approach-for-user-interface-experimentation-2006.11873"/></url>
<url><loc>https://scifaro.com/en/abs/graph-backdoor-2006.11890</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-backdoor-2006.11890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-backdoor-2006.11890"/></url>
<url><loc>https://scifaro.com/en/abs/free-rider-attacks-on-model-aggregation-in-federated-learning-2006.11901</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/free-rider-attacks-on-model-aggregation-in-federated-learning-2006.11901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/free-rider-attacks-on-model-aggregation-in-federated-learning-2006.11901"/></url>
<url><loc>https://scifaro.com/en/abs/towards-tractable-optimism-in-model-based-reinforcement-learning-2006.11911</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-tractable-optimism-in-model-based-reinforcement-learning-2006.11911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-tractable-optimism-in-model-based-reinforcement-learning-2006.11911"/></url>
<url><loc>https://scifaro.com/en/abs/on-aggregation-in-ensembles-of-multilabel-classifiers-2006.11916</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-aggregation-in-ensembles-of-multilabel-classifiers-2006.11916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-aggregation-in-ensembles-of-multilabel-classifiers-2006.11916"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-the-curse-of-many-agents-provable-mean-embedding-q-iteration-for-mean-field-reinforcement-learning-2006.11917</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-the-curse-of-many-agents-provable-mean-embedding-q-iteration-for-mean-field-reinforcement-learning-2006.11917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-the-curse-of-many-agents-provable-mean-embedding-q-iteration-for-mean-field-reinforcement-learning-2006.11917"/></url>
<url><loc>https://scifaro.com/en/abs/maxva-fast-adaptation-of-step-sizes-by-maximizing-observed-variance-of-gradients-2006.11918</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maxva-fast-adaptation-of-step-sizes-by-maximizing-observed-variance-of-gradients-2006.11918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maxva-fast-adaptation-of-step-sizes-by-maximizing-observed-variance-of-gradients-2006.11918"/></url>
<url><loc>https://scifaro.com/en/abs/learning-of-discrete-graphical-models-with-neural-networks-2006.11937</loc><lastmod>2020-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-of-discrete-graphical-models-with-neural-networks-2006.11937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-of-discrete-graphical-models-with-neural-networks-2006.11937"/></url>
<url><loc>https://scifaro.com/en/abs/vaem-a-deep-generative-model-for-heterogeneous-mixed-type-data-2006.11941</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vaem-a-deep-generative-model-for-heterogeneous-mixed-type-data-2006.11941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vaem-a-deep-generative-model-for-heterogeneous-mixed-type-data-2006.11941"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-tensor-sketching-via-adaptive-sampling-2006.11943</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-tensor-sketching-via-adaptive-sampling-2006.11943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-tensor-sketching-via-adaptive-sampling-2006.11943"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-weight-redundancy-in-cnns-beyond-pruning-and-quantization-2006.11967</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-weight-redundancy-in-cnns-beyond-pruning-and-quantization-2006.11967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-weight-redundancy-in-cnns-beyond-pruning-and-quantization-2006.11967"/></url>
<url><loc>https://scifaro.com/en/abs/a-sparse-code-increases-the-speed-and-efficiency-of-neuro-dynamic-programming-for-optimal-control-tasks-with-correlated-inputs-2006.11968</loc><lastmod>2021-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sparse-code-increases-the-speed-and-efficiency-of-neuro-dynamic-programming-for-optimal-control-tasks-with-correlated-inputs-2006.11968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sparse-code-increases-the-speed-and-efficiency-of-neuro-dynamic-programming-for-optimal-control-tasks-with-correlated-inputs-2006.11968"/></url>
<url><loc>https://scifaro.com/en/abs/hippo-taming-hyper-parameter-optimization-of-deep-learning-with-stage-trees-2006.11972</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hippo-taming-hyper-parameter-optimization-of-deep-learning-with-stage-trees-2006.11972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hippo-taming-hyper-parameter-optimization-of-deep-learning-with-stage-trees-2006.11972"/></url>
<url><loc>https://scifaro.com/en/abs/elf-an-early-exiting-framework-for-long-tailed-classification-2006.11979</loc><lastmod>2020-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elf-an-early-exiting-framework-for-long-tailed-classification-2006.11979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elf-an-early-exiting-framework-for-long-tailed-classification-2006.11979"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-combinatorial-optimization-with-reinforcement-learning-2006.11984</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-combinatorial-optimization-with-reinforcement-learning-2006.11984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-combinatorial-optimization-with-reinforcement-learning-2006.11984"/></url>
<url><loc>https://scifaro.com/en/abs/novas-non-convex-optimization-via-adaptive-stochastic-search-for-end-to-end-learning-and-control-2006.11992</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novas-non-convex-optimization-via-adaptive-stochastic-search-for-end-to-end-learning-and-control-2006.11992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novas-non-convex-optimization-via-adaptive-stochastic-search-for-end-to-end-learning-and-control-2006.11992"/></url>
<url><loc>https://scifaro.com/en/abs/self-knowledge-distillation-with-progressive-refinement-of-targets-2006.12000</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-knowledge-distillation-with-progressive-refinement-of-targets-2006.12000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-knowledge-distillation-with-progressive-refinement-of-targets-2006.12000"/></url>
<url><loc>https://scifaro.com/en/abs/multiimport-inferring-node-importance-in-a-knowledge-graph-from-multiple-input-signals-2006.12001</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiimport-inferring-node-importance-in-a-knowledge-graph-from-multiple-input-signals-2006.12001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiimport-inferring-node-importance-in-a-knowledge-graph-from-multiple-input-signals-2006.12001"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-reinforcement-learning-with-self-play-2006.12007</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-reinforcement-learning-with-self-play-2006.12007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-reinforcement-learning-with-self-play-2006.12007"/></url>
<url><loc>https://scifaro.com/en/abs/qtran-improved-value-transformation-for-cooperative-multi-agent-reinforcement-learning-2006.12010</loc><lastmod>2020-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qtran-improved-value-transformation-for-cooperative-multi-agent-reinforcement-learning-2006.12010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qtran-improved-value-transformation-for-cooperative-multi-agent-reinforcement-learning-2006.12010"/></url>
<url><loc>https://scifaro.com/en/abs/superpolynomial-lower-bounds-for-learning-one-layer-neural-networks-using-gradient-descent-2006.12011</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/superpolynomial-lower-bounds-for-learning-one-layer-neural-networks-using-gradient-descent-2006.12011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/superpolynomial-lower-bounds-for-learning-one-layer-neural-networks-using-gradient-descent-2006.12011"/></url>
<url><loc>https://scifaro.com/en/abs/club-a-contrastive-log-ratio-upper-bound-of-mutual-information-2006.12013</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/club-a-contrastive-log-ratio-upper-bound-of-mutual-information-2006.12013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/club-a-contrastive-log-ratio-upper-bound-of-mutual-information-2006.12013"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-algorithms-letting-go-of-logarithmic-regret-for-statistical-robustness-2006.12038</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-algorithms-letting-go-of-logarithmic-regret-for-statistical-robustness-2006.12038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-algorithms-letting-go-of-logarithmic-regret-for-statistical-robustness-2006.12038"/></url>
<url><loc>https://scifaro.com/en/abs/deep-residual-mixture-models-2006.12063</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-residual-mixture-models-2006.12063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-residual-mixture-models-2006.12063"/></url>
<url><loc>https://scifaro.com/en/abs/a-trainable-optimal-transport-embedding-for-feature-aggregation-and-its-relationship-to-attention-2006.12065</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-trainable-optimal-transport-embedding-for-feature-aggregation-and-its-relationship-to-attention-2006.12065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-trainable-optimal-transport-embedding-for-feature-aggregation-and-its-relationship-to-attention-2006.12065"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitz-recurrent-neural-networks-2006.12070</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitz-recurrent-neural-networks-2006.12070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitz-recurrent-neural-networks-2006.12070"/></url>
<url><loc>https://scifaro.com/en/abs/mumbo-multi-task-max-value-bayesian-optimization-2006.12093</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mumbo-multi-task-max-value-bayesian-optimization-2006.12093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mumbo-multi-task-max-value-bayesian-optimization-2006.12093"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-discrimination-of-parkinson-s-disease-stages-from-walker-mounted-sensors-data-2006.12094</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-discrimination-of-parkinson-s-disease-stages-from-walker-mounted-sensors-data-2006.12094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-discrimination-of-parkinson-s-disease-stages-from-walker-mounted-sensors-data-2006.12094"/></url>
<url><loc>https://scifaro.com/en/abs/federated-semi-supervised-learning-with-inter-client-consistency-disjoint-learning-2006.12097</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-semi-supervised-learning-with-inter-client-consistency-disjoint-learning-2006.12097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-semi-supervised-learning-with-inter-client-consistency-disjoint-learning-2006.12097"/></url>
<url><loc>https://scifaro.com/en/abs/a-self-attention-network-based-node-embedding-model-2006.12100</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-self-attention-network-based-node-embedding-model-2006.12100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-self-attention-network-based-node-embedding-model-2006.12100"/></url>
<url><loc>https://scifaro.com/en/abs/p3gm-private-high-dimensional-data-release-via-privacy-preserving-phased-generative-model-2006.12101</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/p3gm-private-high-dimensional-data-release-via-privacy-preserving-phased-generative-model-2006.12101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/p3gm-private-high-dimensional-data-release-via-privacy-preserving-phased-generative-model-2006.12101"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-in-recurrent-neural-networks-2006.12109</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-in-recurrent-neural-networks-2006.12109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-in-recurrent-neural-networks-2006.12109"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-pipelines-provenance-reproducibility-and-fair-data-principles-2006.12117</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-pipelines-provenance-reproducibility-and-fair-data-principles-2006.12117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-pipelines-provenance-reproducibility-and-fair-data-principles-2006.12117"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-amigo-adversarially-motivated-intrinsic-goals-2006.12122</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-amigo-adversarially-motivated-intrinsic-goals-2006.12122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-amigo-adversarially-motivated-intrinsic-goals-2006.12122"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-generate-noise-for-multi-attack-robustness-2006.12135</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-generate-noise-for-multi-attack-robustness-2006.12135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-generate-noise-for-multi-attack-robustness-2006.12135"/></url>
<url><loc>https://scifaro.com/en/abs/safe-reinforcement-learning-via-curriculum-induction-2006.12136</loc><lastmod>2021-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-reinforcement-learning-via-curriculum-induction-2006.12136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-reinforcement-learning-via-curriculum-induction-2006.12136"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-in-tensorflow-and-keras-with-spektral-2006.12138</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-in-tensorflow-and-keras-with-spektral-2006.12138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-in-tensorflow-and-keras-with-spektral-2006.12138"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-structural-pruning-of-neural-networks-with-set-based-task-adaptive-meta-pruning-2006.12139</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-structural-pruning-of-neural-networks-with-set-based-task-adaptive-meta-pruning-2006.12139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-structural-pruning-of-neural-networks-with-set-based-task-adaptive-meta-pruning-2006.12139"/></url>
<url><loc>https://scifaro.com/en/abs/logarithmic-pruning-is-all-you-need-2006.12156</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logarithmic-pruning-is-all-you-need-2006.12156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logarithmic-pruning-is-all-you-need-2006.12156"/></url>
<url><loc>https://scifaro.com/en/abs/bidirectionally-self-normalizing-neural-networks-2006.12169</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bidirectionally-self-normalizing-neural-networks-2006.12169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bidirectionally-self-normalizing-neural-networks-2006.12169"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-inter-message-passing-for-learning-on-molecular-graphs-2006.12179</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-inter-message-passing-for-learning-on-molecular-graphs-2006.12179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-inter-message-passing-for-learning-on-molecular-graphs-2006.12179"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-adapting-to-datasets-learning-network-size-and-topology-2006.12195</loc><lastmod>2020-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-adapting-to-datasets-learning-network-size-and-topology-2006.12195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-adapting-to-datasets-learning-network-size-and-topology-2006.12195"/></url>
<url><loc>https://scifaro.com/en/abs/approaches-for-multi-view-redescription-mining-2006.12227</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approaches-for-multi-view-redescription-mining-2006.12227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approaches-for-multi-view-redescription-mining-2006.12227"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-pac-bayes-objectives-with-partially-aggregated-neural-networks-2006.12228</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-pac-bayes-objectives-with-partially-aggregated-neural-networks-2006.12228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-pac-bayes-objectives-with-partially-aggregated-neural-networks-2006.12228"/></url>
<url><loc>https://scifaro.com/en/abs/deep-network-with-approximation-error-being-reciprocal-of-width-to-power-of-square-root-of-depth-2006.12231</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-network-with-approximation-error-being-reciprocal-of-width-to-power-of-square-root-of-depth-2006.12231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-network-with-approximation-error-being-reciprocal-of-width-to-power-of-square-root-of-depth-2006.12231"/></url>
<url><loc>https://scifaro.com/en/abs/advantages-of-biologically-inspired-adaptive-neural-activation-in-rnns-during-learning-2006.12253</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advantages-of-biologically-inspired-adaptive-neural-activation-in-rnns-during-learning-2006.12253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advantages-of-biologically-inspired-adaptive-neural-activation-in-rnns-during-learning-2006.12253"/></url>
<url><loc>https://scifaro.com/en/abs/hnhn-hypergraph-networks-with-hyperedge-neurons-2006.12278</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hnhn-hypergraph-networks-with-hyperedge-neurons-2006.12278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hnhn-hypergraph-networks-with-hyperedge-neurons-2006.12278"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-loss-modelling-for-unstructured-pruning-2006.12279</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-loss-modelling-for-unstructured-pruning-2006.12279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-loss-modelling-for-unstructured-pruning-2006.12279"/></url>
<url><loc>https://scifaro.com/en/abs/deeptoppush-simple-and-scalable-method-for-accuracy-at-the-top-2006.12293</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeptoppush-simple-and-scalable-method-for-accuracy-at-the-top-2006.12293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeptoppush-simple-and-scalable-method-for-accuracy-at-the-top-2006.12293"/></url>
<url><loc>https://scifaro.com/en/abs/connecting-graph-convolutional-networks-and-graph-regularized-pca-2006.12294</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/connecting-graph-convolutional-networks-and-graph-regularized-pca-2006.12294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/connecting-graph-convolutional-networks-and-graph-regularized-pca-2006.12294"/></url>
<url><loc>https://scifaro.com/en/abs/improving-lime-robustness-with-smarter-locality-sampling-2006.12302</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-lime-robustness-with-smarter-locality-sampling-2006.12302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-lime-robustness-with-smarter-locality-sampling-2006.12302"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-causal-reinforcement-learning-with-confounded-observational-data-2006.12311</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-causal-reinforcement-learning-with-confounded-observational-data-2006.12311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-causal-reinforcement-learning-with-confounded-observational-data-2006.12311"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-recall-machines-internal-replay-continual-learning-and-the-brain-2006.12323</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-recall-machines-internal-replay-continual-learning-and-the-brain-2006.12323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-recall-machines-internal-replay-continual-learning-and-the-brain-2006.12323"/></url>
<url><loc>https://scifaro.com/en/abs/siamese-meta-learning-and-algorithm-selection-with-algorithm-performance-personas-proposal-2006.12328</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/siamese-meta-learning-and-algorithm-selection-with-algorithm-performance-personas-proposal-2006.12328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/siamese-meta-learning-and-algorithm-selection-with-algorithm-performance-personas-proposal-2006.12328"/></url>
<url><loc>https://scifaro.com/en/abs/graph-learning-for-inverse-landscape-genetics-2006.12334</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-learning-for-inverse-landscape-genetics-2006.12334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-learning-for-inverse-landscape-genetics-2006.12334"/></url>
<url><loc>https://scifaro.com/en/abs/don-t-wait-just-weight-improving-unsupervised-representations-by-learning-goal-driven-instance-weights-2006.12360</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/don-t-wait-just-weight-improving-unsupervised-representations-by-learning-goal-driven-instance-weights-2006.12360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/don-t-wait-just-weight-improving-unsupervised-representations-by-learning-goal-driven-instance-weights-2006.12360"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-discretization-against-an-adversary-lipschitz-bandits-dynamic-pricing-and-auction-tuning-2006.12367</loc><lastmod>2025-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-discretization-against-an-adversary-lipschitz-bandits-dynamic-pricing-and-auction-tuning-2006.12367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-discretization-against-an-adversary-lipschitz-bandits-dynamic-pricing-and-auction-tuning-2006.12367"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-for-sparsity-in-sparse-factor-analysis-models-adaptive-latent-feature-sharing-for-piecewise-linear-dimensionality-reduction-2006.12369</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-for-sparsity-in-sparse-factor-analysis-models-adaptive-latent-feature-sharing-for-piecewise-linear-dimensionality-reduction-2006.12369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-for-sparsity-in-sparse-factor-analysis-models-adaptive-latent-feature-sharing-for-piecewise-linear-dimensionality-reduction-2006.12369"/></url>
<url><loc>https://scifaro.com/en/abs/a-convergent-and-dimension-independent-min-max-optimization-algorithm-2006.12376</loc><lastmod>2022-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convergent-and-dimension-independent-min-max-optimization-algorithm-2006.12376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convergent-and-dimension-independent-min-max-optimization-algorithm-2006.12376"/></url>
<url><loc>https://scifaro.com/en/abs/randomly-weighted-untrained-neural-tensor-networks-achieve-greater-relational-expressiveness-2006.12392</loc><lastmod>2020-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomly-weighted-untrained-neural-tensor-networks-achieve-greater-relational-expressiveness-2006.12392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomly-weighted-untrained-neural-tensor-networks-achieve-greater-relational-expressiveness-2006.12392"/></url>
<url><loc>https://scifaro.com/en/abs/how-fair-can-we-go-in-machine-learning-assessing-the-boundaries-of-fairness-in-decision-trees-2006.12399</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-fair-can-we-go-in-machine-learning-assessing-the-boundaries-of-fairness-in-decision-trees-2006.12399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-fair-can-we-go-in-machine-learning-assessing-the-boundaries-of-fairness-in-decision-trees-2006.12399"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-network-for-determination-of-latent-dimensionality-in-nonnegative-matrix-factorization-2006.12402</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-network-for-determination-of-latent-dimensionality-in-nonnegative-matrix-factorization-2006.12402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-network-for-determination-of-latent-dimensionality-in-nonnegative-matrix-factorization-2006.12402"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-alpha-loss-landscape-in-the-logistic-model-2006.12406</loc><lastmod>2022-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-alpha-loss-landscape-in-the-logistic-model-2006.12406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-alpha-loss-landscape-in-the-logistic-model-2006.12406"/></url>
<url><loc>https://scifaro.com/en/abs/what-shapes-feature-representations-exploring-datasets-architectures-and-training-2006.12433</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-shapes-feature-representations-exploring-datasets-architectures-and-training-2006.12433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-shapes-feature-representations-exploring-datasets-architectures-and-training-2006.12433"/></url>
<url><loc>https://scifaro.com/en/abs/effective-version-space-reduction-for-convolutional-neural-networks-2006.12456</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-version-space-reduction-for-convolutional-neural-networks-2006.12456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-version-space-reduction-for-convolutional-neural-networks-2006.12456"/></url>
<url><loc>https://scifaro.com/en/abs/idf-analyzing-and-improving-integer-discrete-flows-for-lossless-compression-2006.12459</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/idf-analyzing-and-improving-integer-discrete-flows-for-lossless-compression-2006.12459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/idf-analyzing-and-improving-integer-discrete-flows-for-lossless-compression-2006.12459"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-regret-bounds-for-online-nonlinear-control-2006.12466</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-regret-bounds-for-online-nonlinear-control-2006.12466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-regret-bounds-for-online-nonlinear-control-2006.12466"/></url>
<url><loc>https://scifaro.com/en/abs/the-depth-to-width-interplay-in-self-attention-2006.12467</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-depth-to-width-interplay-in-self-attention-2006.12467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-depth-to-width-interplay-in-self-attention-2006.12467"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-and-sq-lower-bounds-for-pac-learning-one-hidden-layer-relu-networks-2006.12476</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-and-sq-lower-bounds-for-pac-learning-one-hidden-layer-relu-networks-2006.12476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-and-sq-lower-bounds-for-pac-learning-one-hidden-layer-relu-networks-2006.12476"/></url>
<url><loc>https://scifaro.com/en/abs/ecological-reinforcement-learning-2006.12478</loc><lastmod>2020-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ecological-reinforcement-learning-2006.12478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ecological-reinforcement-learning-2006.12478"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-of-undercomplete-pomdps-2006.12484</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-of-undercomplete-pomdps-2006.12484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-of-undercomplete-pomdps-2006.12484"/></url>
<url><loc>https://scifaro.com/en/abs/locally-masked-convolution-for-autoregressive-models-2006.12486</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-masked-convolution-for-autoregressive-models-2006.12486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-masked-convolution-for-autoregressive-models-2006.12486"/></url>
<url><loc>https://scifaro.com/en/abs/a-multiscale-graph-convolutional-network-using-hierarchical-clustering-2006.12542</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multiscale-graph-convolutional-network-using-hierarchical-clustering-2006.12542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multiscale-graph-convolutional-network-using-hierarchical-clustering-2006.12542"/></url>
<url><loc>https://scifaro.com/en/abs/just-how-toxic-is-data-poisoning-a-unified-benchmark-for-backdoor-and-data-poisoning-attacks-2006.12557</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/just-how-toxic-is-data-poisoning-a-unified-benchmark-for-backdoor-and-data-poisoning-attacks-2006.12557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/just-how-toxic-is-data-poisoning-a-unified-benchmark-for-backdoor-and-data-poisoning-attacks-2006.12557"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-and-reinforcement-learning-for-behavior-generation-in-semantic-environments-2006.12576</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-and-reinforcement-learning-for-behavior-generation-in-semantic-environments-2006.12576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-and-reinforcement-learning-for-behavior-generation-in-semantic-environments-2006.12576"/></url>
<url><loc>https://scifaro.com/en/abs/exact-support-recovery-in-federated-regression-with-one-shot-communication-2006.12583</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-support-recovery-in-federated-regression-with-one-shot-communication-2006.12583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-support-recovery-in-federated-regression-with-one-shot-communication-2006.12583"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-individual-fairness-in-clustering-2006.12589</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-individual-fairness-in-clustering-2006.12589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-individual-fairness-in-clustering-2006.12589"/></url>
<url><loc>https://scifaro.com/en/abs/c-sure-shrinkage-estimator-and-prototype-classifier-for-complex-valued-deep-learning-2006.12590</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/c-sure-shrinkage-estimator-and-prototype-classifier-for-complex-valued-deep-learning-2006.12590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/c-sure-shrinkage-estimator-and-prototype-classifier-for-complex-valued-deep-learning-2006.12590"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-smoothing-proximal-gradient-algorithm-for-convex-clustering-2006.12592</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-smoothing-proximal-gradient-algorithm-for-convex-clustering-2006.12592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-smoothing-proximal-gradient-algorithm-for-convex-clustering-2006.12592"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-for-support-recovery-in-high-dimensional-precision-matrix-estimation-2006.12598</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-for-support-recovery-in-high-dimensional-precision-matrix-estimation-2006.12598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-for-support-recovery-in-high-dimensional-precision-matrix-estimation-2006.12598"/></url>
<url><loc>https://scifaro.com/en/abs/a-maximum-entropy-approach-to-off-policy-evaluation-in-average-reward-mdps-2006.12620</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-maximum-entropy-approach-to-off-policy-evaluation-in-average-reward-mdps-2006.12620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-maximum-entropy-approach-to-off-policy-evaluation-in-average-reward-mdps-2006.12620"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-through-robustness-investigating-robustness-disparity-in-deep-learning-2006.12621</loc><lastmod>2021-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-through-robustness-investigating-robustness-disparity-in-deep-learning-2006.12621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-through-robustness-investigating-robustness-disparity-in-deep-learning-2006.12621"/></url>
<url><loc>https://scifaro.com/en/abs/wd3-taming-the-estimation-bias-in-deep-reinforcement-learning-2006.12622</loc><lastmod>2023-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wd3-taming-the-estimation-bias-in-deep-reinforcement-learning-2006.12622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wd3-taming-the-estimation-bias-in-deep-reinforcement-learning-2006.12622"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-flexible-temporal-point-processes-with-triangular-maps-2006.12631</loc><lastmod>2020-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-flexible-temporal-point-processes-with-triangular-maps-2006.12631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-flexible-temporal-point-processes-with-triangular-maps-2006.12631"/></url>
<url><loc>https://scifaro.com/en/abs/aligning-time-series-on-incomparable-spaces-2006.12648</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aligning-time-series-on-incomparable-spaces-2006.12648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aligning-time-series-on-incomparable-spaces-2006.12648"/></url>
<url><loc>https://scifaro.com/en/abs/perceptual-adversarial-robustness-defense-against-unseen-threat-models-2006.12655</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perceptual-adversarial-robustness-defense-against-unseen-threat-models-2006.12655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perceptual-adversarial-robustness-defense-against-unseen-threat-models-2006.12655"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-evolution-with-approximated-eigenvalue-trajectories-for-link-prediction-2006.12657</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-evolution-with-approximated-eigenvalue-trajectories-for-link-prediction-2006.12657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-evolution-with-approximated-eigenvalue-trajectories-for-link-prediction-2006.12657"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-extrinsic-regression-2006.12672</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-extrinsic-regression-2006.12672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-extrinsic-regression-2006.12672"/></url>
<url><loc>https://scifaro.com/en/abs/neural-dynamical-systems-balancing-structure-and-flexibility-in-physical-prediction-2006.12682</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-dynamical-systems-balancing-structure-and-flexibility-in-physical-prediction-2006.12682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-dynamical-systems-balancing-structure-and-flexibility-in-physical-prediction-2006.12682"/></url>
<url><loc>https://scifaro.com/en/abs/risk-sensitive-reinforcement-learning-a-martingale-approach-to-reward-uncertainty-2006.12686</loc><lastmod>2020-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-sensitive-reinforcement-learning-a-martingale-approach-to-reward-uncertainty-2006.12686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-sensitive-reinforcement-learning-a-martingale-approach-to-reward-uncertainty-2006.12686"/></url>
<url><loc>https://scifaro.com/en/abs/a-dynamical-systems-approach-for-convergence-of-the-bayesian-em-algorithm-2006.12690</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dynamical-systems-approach-for-convergence-of-the-bayesian-em-algorithm-2006.12690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dynamical-systems-approach-for-convergence-of-the-bayesian-em-algorithm-2006.12690"/></url>
<url><loc>https://scifaro.com/en/abs/on-compression-principle-and-bayesian-optimization-for-neural-networks-2006.12714</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-compression-principle-and-bayesian-optimization-for-neural-networks-2006.12714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-compression-principle-and-bayesian-optimization-for-neural-networks-2006.12714"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-spatio-temporal-graph-convolutional-network-improving-traffic-prediction-with-navigation-data-2006.12715</loc><lastmod>2023-07-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-spatio-temporal-graph-convolutional-network-improving-traffic-prediction-with-navigation-data-2006.12715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-spatio-temporal-graph-convolutional-network-improving-traffic-prediction-with-navigation-data-2006.12715"/></url>
<url><loc>https://scifaro.com/en/abs/graph-prototypical-networks-for-few-shot-learning-on-attributed-networks-2006.12739</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-prototypical-networks-for-few-shot-learning-on-attributed-networks-2006.12739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-prototypical-networks-for-few-shot-learning-on-attributed-networks-2006.12739"/></url>
<url><loc>https://scifaro.com/en/abs/correct-normalization-matters-understanding-the-effect-of-normalization-on-deep-neural-network-models-for-click-through-rate-prediction-2006.12753</loc><lastmod>2020-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correct-normalization-matters-understanding-the-effect-of-normalization-on-deep-neural-network-models-for-click-through-rate-prediction-2006.12753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correct-normalization-matters-understanding-the-effect-of-normalization-on-deep-neural-network-models-for-click-through-rate-prediction-2006.12753"/></url>
<url><loc>https://scifaro.com/en/abs/long-term-prediction-of-lane-change-maneuver-through-a-multilayer-perceptron-2006.12769</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-term-prediction-of-lane-change-maneuver-through-a-multilayer-perceptron-2006.12769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-term-prediction-of-lane-change-maneuver-through-a-multilayer-perceptron-2006.12769"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-pure-exploration-of-dueling-bandit-2006.12772</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-pure-exploration-of-dueling-bandit-2006.12772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-pure-exploration-of-dueling-bandit-2006.12772"/></url>
<url><loc>https://scifaro.com/en/abs/clinical-risk-prediction-with-temporal-probabilistic-asymmetric-multi-task-learning-2006.12777</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clinical-risk-prediction-with-temporal-probabilistic-asymmetric-multi-task-learning-2006.12777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clinical-risk-prediction-with-temporal-probabilistic-asymmetric-multi-task-learning-2006.12777"/></url>
<url><loc>https://scifaro.com/en/abs/density-embedding-layers-a-general-framework-for-adaptive-receptive-fields-2006.12779</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-embedding-layers-a-general-framework-for-adaptive-receptive-fields-2006.12779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-embedding-layers-a-general-framework-for-adaptive-receptive-fields-2006.12779"/></url>
<url><loc>https://scifaro.com/en/abs/rays-a-ray-searching-method-for-hard-label-adversarial-attack-2006.12792</loc><lastmod>2020-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rays-a-ray-searching-method-for-hard-label-adversarial-attack-2006.12792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rays-a-ray-searching-method-for-hard-label-adversarial-attack-2006.12792"/></url>
<url><loc>https://scifaro.com/en/abs/calibration-of-neural-networks-using-splines-2006.12800</loc><lastmod>2021-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibration-of-neural-networks-using-splines-2006.12800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibration-of-neural-networks-using-splines-2006.12800"/></url>
<url><loc>https://scifaro.com/en/abs/post-hoc-calibration-of-neural-networks-by-g-layers-2006.12807</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-hoc-calibration-of-neural-networks-by-g-layers-2006.12807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-hoc-calibration-of-neural-networks-by-g-layers-2006.12807"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-explanations-of-concept-drift-2006.12822</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-explanations-of-concept-drift-2006.12822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-explanations-of-concept-drift-2006.12822"/></url>
<url><loc>https://scifaro.com/en/abs/extension-of-direct-feedback-alignment-to-convolutional-and-recurrent-neural-network-for-bio-plausible-deep-learning-2006.12830</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extension-of-direct-feedback-alignment-to-convolutional-and-recurrent-neural-network-for-bio-plausible-deep-learning-2006.12830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extension-of-direct-feedback-alignment-to-convolutional-and-recurrent-neural-network-for-bio-plausible-deep-learning-2006.12830"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-rs-a-versatile-framework-for-query-efficient-sparse-black-box-adversarial-attacks-2006.12834</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-rs-a-versatile-framework-for-query-efficient-sparse-black-box-adversarial-attacks-2006.12834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-rs-a-versatile-framework-for-query-efficient-sparse-black-box-adversarial-attacks-2006.12834"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-data-augmentation-for-generalization-in-deep-reinforcement-learning-2006.12862</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-data-augmentation-for-generalization-in-deep-reinforcement-learning-2006.12862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-data-augmentation-for-generalization-in-deep-reinforcement-learning-2006.12862"/></url>
<url><loc>https://scifaro.com/en/abs/betula-numerically-stable-cf-trees-for-birch-clustering-2006.12881</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/betula-numerically-stable-cf-trees-for-birch-clustering-2006.12881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/betula-numerically-stable-cf-trees-for-birch-clustering-2006.12881"/></url>
<url><loc>https://scifaro.com/en/abs/projective-latent-interventions-for-understanding-and-fine-tuning-classifiers-2006.12902</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projective-latent-interventions-for-understanding-and-fine-tuning-classifiers-2006.12902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projective-latent-interventions-for-understanding-and-fine-tuning-classifiers-2006.12902"/></url>
<url><loc>https://scifaro.com/en/abs/show-me-the-way-intrinsic-motivation-from-demonstrations-2006.12917</loc><lastmod>2021-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/show-me-the-way-intrinsic-motivation-from-demonstrations-2006.12917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/show-me-the-way-intrinsic-motivation-from-demonstrations-2006.12917"/></url>
<url><loc>https://scifaro.com/en/abs/distance-correlation-sure-independence-screening-for-accelerated-feature-selection-in-parkinson-s-disease-vocal-data-2006.12919</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-correlation-sure-independence-screening-for-accelerated-feature-selection-in-parkinson-s-disease-vocal-data-2006.12919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-correlation-sure-independence-screening-for-accelerated-feature-selection-in-parkinson-s-disease-vocal-data-2006.12919"/></url>
<url><loc>https://scifaro.com/en/abs/multi-source-domain-adaptation-via-weighted-joint-distributions-optimal-transport-2006.12938</loc><lastmod>2022-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-source-domain-adaptation-via-weighted-joint-distributions-optimal-transport-2006.12938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-source-domain-adaptation-via-weighted-joint-distributions-optimal-transport-2006.12938"/></url>
<url><loc>https://scifaro.com/en/abs/gaining-insight-into-sars-cov-2-infection-and-covid-19-severity-using-self-supervised-edge-features-and-graph-neural-networks-2006.12971</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaining-insight-into-sars-cov-2-infection-and-covid-19-severity-using-self-supervised-edge-features-and-graph-neural-networks-2006.12971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaining-insight-into-sars-cov-2-infection-and-covid-19-severity-using-self-supervised-edge-features-and-graph-neural-networks-2006.12971"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-symplectically-integrated-neural-networks-2006.12972</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-symplectically-integrated-neural-networks-2006.12972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-symplectically-integrated-neural-networks-2006.12972"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-deep-graph-learning-for-graph-neural-networks-better-and-robust-node-embeddings-2006.13009</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-deep-graph-learning-for-graph-neural-networks-better-and-robust-node-embeddings-2006.13009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-deep-graph-learning-for-graph-neural-networks-better-and-robust-node-embeddings-2006.13009"/></url>
<url><loc>https://scifaro.com/en/abs/rotation-equivariant-neural-networks-for-privacy-protection-2006.13016</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rotation-equivariant-neural-networks-for-privacy-protection-2006.13016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rotation-equivariant-neural-networks-for-privacy-protection-2006.13016"/></url>
<url><loc>https://scifaro.com/en/abs/the-classification-for-high-dimension-low-sample-size-data-2006.13018</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-classification-for-high-dimension-low-sample-size-data-2006.13018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-classification-for-high-dimension-low-sample-size-data-2006.13018"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-the-theoretical-bound-and-deep-algorithms-for-open-set-domain-adaptation-2006.13022</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-the-theoretical-bound-and-deep-algorithms-for-open-set-domain-adaptation-2006.13022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-the-theoretical-bound-and-deep-algorithms-for-open-set-domain-adaptation-2006.13022"/></url>
<url><loc>https://scifaro.com/en/abs/fair-active-learning-2006.13025</loc><lastmod>2020-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-active-learning-2006.13025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-active-learning-2006.13025"/></url>
<url><loc>https://scifaro.com/en/abs/deep-polynomial-neural-networks-2006.13026</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-polynomial-neural-networks-2006.13026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-polynomial-neural-networks-2006.13026"/></url>
<url><loc>https://scifaro.com/en/abs/scheduling-policy-and-power-allocation-for-federated-learning-in-noma-based-mec-2006.13044</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scheduling-policy-and-power-allocation-for-federated-learning-in-noma-based-mec-2006.13044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scheduling-policy-and-power-allocation-for-federated-learning-in-noma-based-mec-2006.13044"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-session-based-news-recommendation-using-recurrent-neural-networks-2006.13063</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-session-based-news-recommendation-using-recurrent-neural-networks-2006.13063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-session-based-news-recommendation-using-recurrent-neural-networks-2006.13063"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-view-on-graph-convolutional-network-and-the-proposal-of-monte-carlo-graph-learning-2006.13090</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-view-on-graph-convolutional-network-and-the-proposal-of-monte-carlo-graph-learning-2006.13090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-view-on-graph-convolutional-network-and-the-proposal-of-monte-carlo-graph-learning-2006.13090"/></url>
<url><loc>https://scifaro.com/en/abs/multi-class-uncertainty-calibration-via-mutual-information-maximization-based-binning-2006.13092</loc><lastmod>2022-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-class-uncertainty-calibration-via-mutual-information-maximization-based-binning-2006.13092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-class-uncertainty-calibration-via-mutual-information-maximization-based-binning-2006.13092"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-segmentation-of-sequences-2006.13105</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-segmentation-of-sequences-2006.13105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-segmentation-of-sequences-2006.13105"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-without-demographics-through-adversarially-reweighted-learning-2006.13114</loc><lastmod>2020-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-without-demographics-through-adversarially-reweighted-learning-2006.13114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-without-demographics-through-adversarially-reweighted-learning-2006.13114"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-few-shot-learning-for-pan-privacy-2006.13120</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-few-shot-learning-for-pan-privacy-2006.13120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-few-shot-learning-for-pan-privacy-2006.13120"/></url>
<url><loc>https://scifaro.com/en/abs/on-counterfactual-explanations-under-predictive-multiplicity-2006.13132</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-counterfactual-explanations-under-predictive-multiplicity-2006.13132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-counterfactual-explanations-under-predictive-multiplicity-2006.13132"/></url>
<url><loc>https://scifaro.com/en/abs/environment-shaping-in-reinforcement-learning-using-state-abstraction-2006.13160</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/environment-shaping-in-reinforcement-learning-using-state-abstraction-2006.13160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/environment-shaping-in-reinforcement-learning-using-state-abstraction-2006.13160"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-reinforcement-learning-for-discounted-mdps-with-feature-mapping-2006.13165</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-reinforcement-learning-for-discounted-mdps-with-feature-mapping-2006.13165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-reinforcement-learning-for-discounted-mdps-with-feature-mapping-2006.13165"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-global-optimality-of-model-agnostic-meta-learning-2006.13182</loc><lastmod>2020-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-global-optimality-of-model-agnostic-meta-learning-2006.13182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-global-optimality-of-model-agnostic-meta-learning-2006.13182"/></url>
<url><loc>https://scifaro.com/en/abs/expert-supervised-reinforcement-learning-for-offline-policy-learning-and-evaluation-2006.13189</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expert-supervised-reinforcement-learning-for-offline-policy-learning-and-evaluation-2006.13189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expert-supervised-reinforcement-learning-for-offline-policy-learning-and-evaluation-2006.13189"/></url>
<url><loc>https://scifaro.com/en/abs/simple-and-effective-vae-training-with-calibrated-decoders-2006.13202</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-and-effective-vae-training-with-calibrated-decoders-2006.13202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-and-effective-vae-training-with-calibrated-decoders-2006.13202"/></url>
<url><loc>https://scifaro.com/en/abs/long-horizon-visual-planning-with-goal-conditioned-hierarchical-predictors-2006.13205</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-horizon-visual-planning-with-goal-conditioned-hierarchical-predictors-2006.13205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-horizon-visual-planning-with-goal-conditioned-hierarchical-predictors-2006.13205"/></url>
<url><loc>https://scifaro.com/en/abs/attentional-graph-convolutional-networks-for-knowledge-concept-recommendation-in-moocs-in-a-heterogeneous-view-2006.13257</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attentional-graph-convolutional-networks-for-knowledge-concept-recommendation-in-moocs-in-a-heterogeneous-view-2006.13257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attentional-graph-convolutional-networks-for-knowledge-concept-recommendation-in-moocs-in-a-heterogeneous-view-2006.13257"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-soft-advantage-fitting-imitation-learning-without-policy-optimization-2006.13258</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-soft-advantage-fitting-imitation-learning-without-policy-optimization-2006.13258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-soft-advantage-fitting-imitation-learning-without-policy-optimization-2006.13258"/></url>
<url><loc>https://scifaro.com/en/abs/learning-potentials-of-quantum-systems-using-deep-neural-networks-2006.13297</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-potentials-of-quantum-systems-using-deep-neural-networks-2006.13297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-potentials-of-quantum-systems-using-deep-neural-networks-2006.13297"/></url>
<url><loc>https://scifaro.com/en/abs/non-convex-structured-phase-retrieval-2006.13298</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-convex-structured-phase-retrieval-2006.13298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-convex-structured-phase-retrieval-2006.13298"/></url>
<url><loc>https://scifaro.com/en/abs/lalr-theoretical-and-experimental-validation-of-lipschitz-adaptive-learning-rate-in-regression-and-neural-networks-2006.13307</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lalr-theoretical-and-experimental-validation-of-lipschitz-adaptive-learning-rate-in-regression-and-neural-networks-2006.13307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lalr-theoretical-and-experimental-validation-of-lipschitz-adaptive-learning-rate-in-regression-and-neural-networks-2006.13307"/></url>
<url><loc>https://scifaro.com/en/abs/fast-deep-mixtures-of-gaussian-process-experts-2006.13309</loc><lastmod>2024-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-deep-mixtures-of-gaussian-process-experts-2006.13309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-deep-mixtures-of-gaussian-process-experts-2006.13309"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-over-smoothing-for-graph-neural-networks-2006.13318</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-over-smoothing-for-graph-neural-networks-2006.13318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-over-smoothing-for-graph-neural-networks-2006.13318"/></url>
<url><loc>https://scifaro.com/en/abs/classification-performance-metric-for-imbalance-data-based-on-recall-and-selectivity-normalized-in-class-labels-2006.13319</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-performance-metric-for-imbalance-data-based-on-recall-and-selectivity-normalized-in-class-labels-2006.13319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-performance-metric-for-imbalance-data-based-on-recall-and-selectivity-normalized-in-class-labels-2006.13319"/></url>
<url><loc>https://scifaro.com/en/abs/safe-learning-under-uncertain-objectives-and-constraints-2006.13326</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-learning-under-uncertain-objectives-and-constraints-2006.13326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-learning-under-uncertain-objectives-and-constraints-2006.13326"/></url>
<url><loc>https://scifaro.com/en/abs/thalamocortical-motor-circuit-insights-for-more-robust-hierarchical-control-of-complex-sequences-2006.13332</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thalamocortical-motor-circuit-insights-for-more-robust-hierarchical-control-of-complex-sequences-2006.13332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thalamocortical-motor-circuit-insights-for-more-robust-hierarchical-control-of-complex-sequences-2006.13332"/></url>
<url><loc>https://scifaro.com/en/abs/learning-gradient-boosted-multi-label-classification-rules-2006.13346</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-gradient-boosted-multi-label-classification-rules-2006.13346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-gradient-boosted-multi-label-classification-rules-2006.13346"/></url>
<url><loc>https://scifaro.com/en/abs/principal-component-networks-parameter-reduction-early-in-training-2006.13347</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principal-component-networks-parameter-reduction-early-in-training-2006.13347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principal-component-networks-parameter-reduction-early-in-training-2006.13347"/></url>
<url><loc>https://scifaro.com/en/abs/bringing-light-into-the-dark-a-large-scale-evaluation-of-knowledge-graph-embedding-models-under-a-unified-framework-2006.13365</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bringing-light-into-the-dark-a-large-scale-evaluation-of-knowledge-graph-embedding-models-under-a-unified-framework-2006.13365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bringing-light-into-the-dark-a-large-scale-evaluation-of-knowledge-graph-embedding-models-under-a-unified-framework-2006.13365"/></url>
<url><loc>https://scifaro.com/en/abs/spherical-perspective-on-learning-with-normalization-layers-2006.13382</loc><lastmod>2022-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spherical-perspective-on-learning-with-normalization-layers-2006.13382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spherical-perspective-on-learning-with-normalization-layers-2006.13382"/></url>
<url><loc>https://scifaro.com/en/abs/learning-disentangled-representations-of-video-with-missing-data-2006.13391</loc><lastmod>2020-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-disentangled-representations-of-video-with-missing-data-2006.13391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-disentangled-representations-of-video-with-missing-data-2006.13391"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-deep-architectures-with-reasoning-layer-2006.13401</loc><lastmod>2020-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-deep-architectures-with-reasoning-layer-2006.13401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-deep-architectures-with-reasoning-layer-2006.13401"/></url>
<url><loc>https://scifaro.com/en/abs/towards-minimax-optimal-reinforcement-learning-in-factored-markov-decision-processes-2006.13405</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-minimax-optimal-reinforcement-learning-in-factored-markov-decision-processes-2006.13405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-minimax-optimal-reinforcement-learning-in-factored-markov-decision-processes-2006.13405"/></url>
<url><loc>https://scifaro.com/en/abs/control-aware-representations-for-model-based-reinforcement-learning-2006.13408</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/control-aware-representations-for-model-based-reinforcement-learning-2006.13408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/control-aware-representations-for-model-based-reinforcement-learning-2006.13408"/></url>
<url><loc>https://scifaro.com/en/abs/online-competitive-influence-maximization-2006.13411</loc><lastmod>2022-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-competitive-influence-maximization-2006.13411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-competitive-influence-maximization-2006.13411"/></url>
<url><loc>https://scifaro.com/en/abs/bygars-byzantine-sgd-with-arbitrary-number-of-attackers-2006.13421</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bygars-byzantine-sgd-with-arbitrary-number-of-attackers-2006.13421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bygars-byzantine-sgd-with-arbitrary-number-of-attackers-2006.13421"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-hierarchical-learning-benefits-of-neural-representations-2006.13436</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-hierarchical-learning-benefits-of-neural-representations-2006.13436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-hierarchical-learning-benefits-of-neural-representations-2006.13436"/></url>
<url><loc>https://scifaro.com/en/abs/on-multivariate-singular-spectrum-analysis-and-its-variants-2006.13448</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-multivariate-singular-spectrum-analysis-and-its-variants-2006.13448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-multivariate-singular-spectrum-analysis-and-its-variants-2006.13448"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-free-gaussian-process-for-regression-2006.13456</loc><lastmod>2025-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-free-gaussian-process-for-regression-2006.13456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-free-gaussian-process-for-regression-2006.13456"/></url>
<url><loc>https://scifaro.com/en/abs/local-stochastic-approximation-a-unified-view-of-federated-learning-and-distributed-multi-task-reinforcement-learning-algorithms-2006.13460</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-stochastic-approximation-a-unified-view-of-federated-learning-and-distributed-multi-task-reinforcement-learning-algorithms-2006.13460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-stochastic-approximation-a-unified-view-of-federated-learning-and-distributed-multi-task-reinforcement-learning-algorithms-2006.13460"/></url>
<url><loc>https://scifaro.com/en/abs/graph-policy-network-for-transferable-active-learning-on-graphs-2006.13463</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-policy-network-for-transferable-active-learning-on-graphs-2006.13463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-policy-network-for-transferable-active-learning-on-graphs-2006.13463"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-submodular-function-maximization-2006.13474</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-submodular-function-maximization-2006.13474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-submodular-function-maximization-2006.13474"/></url>
<url><loc>https://scifaro.com/en/abs/second-order-information-in-non-convex-stochastic-optimization-power-and-limitations-2006.13476</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/second-order-information-in-non-convex-stochastic-optimization-power-and-limitations-2006.13476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/second-order-information-in-non-convex-stochastic-optimization-power-and-limitations-2006.13476"/></url>
<url><loc>https://scifaro.com/en/abs/road-network-metric-learning-for-estimated-time-of-arrival-2006.13477</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/road-network-metric-learning-for-estimated-time-of-arrival-2006.13477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/road-network-metric-learning-for-estimated-time-of-arrival-2006.13477"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-large-batch-optimization-of-bert-pretraining-in-54-minutes-2006.13484</loc><lastmod>2020-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-large-batch-optimization-of-bert-pretraining-in-54-minutes-2006.13484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-large-batch-optimization-of-bert-pretraining-in-54-minutes-2006.13484"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-with-overlapping-groups-2006.13485</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-with-overlapping-groups-2006.13485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-with-overlapping-groups-2006.13485"/></url>
<url><loc>https://scifaro.com/en/abs/ramanujan-bipartite-graph-products-for-efficient-block-sparse-neural-networks-2006.13486</loc><lastmod>2020-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ramanujan-bipartite-graph-products-for-efficient-block-sparse-neural-networks-2006.13486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ramanujan-bipartite-graph-products-for-efficient-block-sparse-neural-networks-2006.13486"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-machine-learning-using-locally-differentially-private-data-2006.13488</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-machine-learning-using-locally-differentially-private-data-2006.13488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-machine-learning-using-locally-differentially-private-data-2006.13488"/></url>
<url><loc>https://scifaro.com/en/abs/private-stochastic-non-convex-optimization-adaptive-algorithms-and-tighter-generalization-bounds-2006.13501</loc><lastmod>2020-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-stochastic-non-convex-optimization-adaptive-algorithms-and-tighter-generalization-bounds-2006.13501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-stochastic-non-convex-optimization-adaptive-algorithms-and-tighter-generalization-bounds-2006.13501"/></url>
<url><loc>https://scifaro.com/en/abs/when-will-generative-adversarial-imitation-learning-algorithms-attain-global-convergence-2006.13506</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-will-generative-adversarial-imitation-learning-algorithms-attain-global-convergence-2006.13506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-will-generative-adversarial-imitation-learning-algorithms-attain-global-convergence-2006.13506"/></url>
<url><loc>https://scifaro.com/en/abs/a-limitation-of-the-pac-bayes-framework-2006.13508</loc><lastmod>2021-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-limitation-of-the-pac-bayes-framework-2006.13508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-limitation-of-the-pac-bayes-framework-2006.13508"/></url>
<url><loc>https://scifaro.com/en/abs/provably-convergent-working-set-algorithm-for-non-convex-regularized-regression-2006.13533</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-convergent-working-set-algorithm-for-non-convex-regularized-regression-2006.13533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-convergent-working-set-algorithm-for-non-convex-regularized-regression-2006.13533"/></url>
<url><loc>https://scifaro.com/en/abs/normalized-loss-functions-for-deep-learning-with-noisy-labels-2006.13554</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalized-loss-functions-for-deep-learning-with-noisy-labels-2006.13554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalized-loss-functions-for-deep-learning-with-noisy-labels-2006.13554"/></url>
<url><loc>https://scifaro.com/en/abs/defending-against-adversarial-attacks-on-medical-imaging-ai-system-classification-or-detection-2006.13555</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defending-against-adversarial-attacks-on-medical-imaging-ai-system-classification-or-detection-2006.13555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defending-against-adversarial-attacks-on-medical-imaging-ai-system-classification-or-detection-2006.13555"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-window-for-dynamic-local-attention-2006.13561</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-window-for-dynamic-local-attention-2006.13561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-window-for-dynamic-local-attention-2006.13561"/></url>
<url><loc>https://scifaro.com/en/abs/off-the-grid-fast-and-effective-hyperparameter-search-for-kernel-clustering-2006.13567</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-the-grid-fast-and-effective-hyperparameter-search-for-kernel-clustering-2006.13567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-the-grid-fast-and-effective-hyperparameter-search-for-kernel-clustering-2006.13567"/></url>
<url><loc>https://scifaro.com/en/abs/hyperparameter-ensembles-for-robustness-and-uncertainty-quantification-2006.13570</loc><lastmod>2021-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperparameter-ensembles-for-robustness-and-uncertainty-quantification-2006.13570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperparameter-ensembles-for-robustness-and-uncertainty-quantification-2006.13570"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-block-diagonal-preconditioning-for-parallel-learning-2006.13591</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-block-diagonal-preconditioning-for-parallel-learning-2006.13591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-block-diagonal-preconditioning-for-parallel-learning-2006.13591"/></url>
<url><loc>https://scifaro.com/en/abs/robust-domain-adaptation-representations-weights-and-inductive-bias-2006.13629</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-domain-adaptation-representations-weights-and-inductive-bias-2006.13629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-domain-adaptation-representations-weights-and-inductive-bias-2006.13629"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-a-target-distribution-using-weight-queries-2006.13636</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-a-target-distribution-using-weight-queries-2006.13636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-a-target-distribution-using-weight-queries-2006.13636"/></url>
<url><loc>https://scifaro.com/en/abs/online-dense-subgraph-discovery-via-blurred-graph-feedback-2006.13642</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-dense-subgraph-discovery-via-blurred-graph-feedback-2006.13642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-dense-subgraph-discovery-via-blurred-graph-feedback-2006.13642"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-empirical-neural-tangent-kernel-of-standard-finite-width-convolutional-neural-network-architectures-2006.13645</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-empirical-neural-tangent-kernel-of-standard-finite-width-convolutional-neural-network-architectures-2006.13645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-empirical-neural-tangent-kernel-of-standard-finite-width-convolutional-neural-network-architectures-2006.13645"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-in-neural-relational-inference-trajectory-reconstruction-2006.13666</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-in-neural-relational-inference-trajectory-reconstruction-2006.13666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-in-neural-relational-inference-trajectory-reconstruction-2006.13666"/></url>
<url><loc>https://scifaro.com/en/abs/deep-categorization-with-semi-supervised-self-organizing-maps-2006.13682</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-categorization-with-semi-supervised-self-organizing-maps-2006.13682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-categorization-with-semi-supervised-self-organizing-maps-2006.13682"/></url>
<url><loc>https://scifaro.com/en/abs/equivalence-in-deep-neural-networks-via-conjugate-matrix-ensembles-2006.13687</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivalence-in-deep-neural-networks-via-conjugate-matrix-ensembles-2006.13687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivalence-in-deep-neural-networks-via-conjugate-matrix-ensembles-2006.13687"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-kernel-methods-implicit-regularization-and-determinantal-point-processes-2006.13701</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-kernel-methods-implicit-regularization-and-determinantal-point-processes-2006.13701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-kernel-methods-implicit-regularization-and-determinantal-point-processes-2006.13701"/></url>
<url><loc>https://scifaro.com/en/abs/frequentist-uncertainty-in-recurrent-neural-networks-via-blockwise-influence-functions-2006.13707</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frequentist-uncertainty-in-recurrent-neural-networks-via-blockwise-influence-functions-2006.13707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frequentist-uncertainty-in-recurrent-neural-networks-via-blockwise-influence-functions-2006.13707"/></url>
<url><loc>https://scifaro.com/en/abs/embedding-differentiable-sparsity-into-deep-neural-network-2006.13716</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedding-differentiable-sparsity-into-deep-neural-network-2006.13716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedding-differentiable-sparsity-into-deep-neural-network-2006.13716"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-of-stochastic-gradient-descent-with-state-dependent-noise-2006.13719</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-of-stochastic-gradient-descent-with-state-dependent-noise-2006.13719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-of-stochastic-gradient-descent-with-state-dependent-noise-2006.13719"/></url>
<url><loc>https://scifaro.com/en/abs/the-nethack-learning-environment-2006.13760</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-nethack-learning-environment-2006.13760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-nethack-learning-environment-2006.13760"/></url>
<url><loc>https://scifaro.com/en/abs/ova-inn-continual-learning-with-invertible-neural-networks-2006.13772</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ova-inn-continual-learning-with-invertible-neural-networks-2006.13772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ova-inn-continual-learning-with-invertible-neural-networks-2006.13772"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-sampling-bias-correction-training-with-the-right-loss-function-2006.13798</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-sampling-bias-correction-training-with-the-right-loss-function-2006.13798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-sampling-bias-correction-training-with-the-right-loss-function-2006.13798"/></url>
<url><loc>https://scifaro.com/en/abs/auto-pytorch-tabular-multi-fidelity-metalearning-for-efficient-and-robust-autodl-2006.13799</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-pytorch-tabular-multi-fidelity-metalearning-for-efficient-and-robust-autodl-2006.13799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-pytorch-tabular-multi-fidelity-metalearning-for-efficient-and-robust-autodl-2006.13799"/></url>
<url><loc>https://scifaro.com/en/abs/preventing-value-function-collapse-in-ensemble-q-learning-by-maximizing-representation-diversity-2006.13823</loc><lastmod>2022-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preventing-value-function-collapse-in-ensemble-q-learning-by-maximizing-representation-diversity-2006.13823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preventing-value-function-collapse-in-ensemble-q-learning-by-maximizing-representation-diversity-2006.13823"/></url>
<url><loc>https://scifaro.com/en/abs/risk-sensitive-reinforcement-learning-near-optimal-risk-sample-tradeoff-in-regret-2006.13827</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-sensitive-reinforcement-learning-near-optimal-risk-sample-tradeoff-in-regret-2006.13827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-sensitive-reinforcement-learning-near-optimal-risk-sample-tradeoff-in-regret-2006.13827"/></url>
<url><loc>https://scifaro.com/en/abs/lattice-representation-learning-2006.13833</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lattice-representation-learning-2006.13833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lattice-representation-learning-2006.13833"/></url>
<url><loc>https://scifaro.com/en/abs/advances-in-asynchronous-parallel-and-distributed-optimization-2006.13838</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advances-in-asynchronous-parallel-and-distributed-optimization-2006.13838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advances-in-asynchronous-parallel-and-distributed-optimization-2006.13838"/></url>
<url><loc>https://scifaro.com/en/abs/crop-yield-prediction-integrating-genotype-and-weather-variables-using-deep-learning-2006.13847</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crop-yield-prediction-integrating-genotype-and-weather-variables-using-deep-learning-2006.13847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crop-yield-prediction-integrating-genotype-and-weather-variables-using-deep-learning-2006.13847"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-analysis-and-forecasting-of-covid-19-cases-using-lstm-and-arima-models-2006.13852</loc><lastmod>2020-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-analysis-and-forecasting-of-covid-19-cases-using-lstm-and-arima-models-2006.13852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-analysis-and-forecasting-of-covid-19-cases-using-lstm-and-arima-models-2006.13852"/></url>
<url><loc>https://scifaro.com/en/abs/arelu-attention-based-rectified-linear-unit-2006.13858</loc><lastmod>2020-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arelu-attention-based-rectified-linear-unit-2006.13858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arelu-attention-based-rectified-linear-unit-2006.13858"/></url>
<url><loc>https://scifaro.com/en/abs/minimal-variance-sampling-with-provable-guarantees-for-fast-training-of-graph-neural-networks-2006.13866</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimal-variance-sampling-with-provable-guarantees-for-fast-training-of-graph-neural-networks-2006.13866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimal-variance-sampling-with-provable-guarantees-for-fast-training-of-graph-neural-networks-2006.13866"/></url>
<url><loc>https://scifaro.com/en/abs/rl-unplugged-a-suite-of-benchmarks-for-offline-reinforcement-learning-2006.13888</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rl-unplugged-a-suite-of-benchmarks-for-offline-reinforcement-learning-2006.13888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rl-unplugged-a-suite-of-benchmarks-for-offline-reinforcement-learning-2006.13888"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-differences-in-reward-functions-2006.13900</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-differences-in-reward-functions-2006.13900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-differences-in-reward-functions-2006.13900"/></url>
<url><loc>https://scifaro.com/en/abs/generative-causal-explanations-of-black-box-classifiers-2006.13913</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-causal-explanations-of-black-box-classifiers-2006.13913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-causal-explanations-of-black-box-classifiers-2006.13913"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchically-compositional-tasks-and-deep-convolutional-networks-2006.13915</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchically-compositional-tasks-and-deep-convolutional-networks-2006.13915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchically-compositional-tasks-and-deep-convolutional-networks-2006.13915"/></url>
<url><loc>https://scifaro.com/en/abs/off-dynamics-reinforcement-learning-training-for-transfer-with-domain-classifiers-2006.13916</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-dynamics-reinforcement-learning-training-for-transfer-with-domain-classifiers-2006.13916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-dynamics-reinforcement-learning-training-for-transfer-with-domain-classifiers-2006.13916"/></url>
<url><loc>https://scifaro.com/en/abs/extracting-the-main-trend-in-a-dataset-the-sequencer-algorithm-2006.13948</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extracting-the-main-trend-in-a-dataset-the-sequencer-algorithm-2006.13948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extracting-the-main-trend-in-a-dataset-the-sequencer-algorithm-2006.13948"/></url>
<url><loc>https://scifaro.com/en/abs/bit-error-robustness-for-energy-efficient-dnn-accelerators-2006.13977</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bit-error-robustness-for-energy-efficient-dnn-accelerators-2006.13977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bit-error-robustness-for-energy-efficient-dnn-accelerators-2006.13977"/></url>
<url><loc>https://scifaro.com/en/abs/mcal-minimum-cost-human-machine-active-labeling-2006.13999</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcal-minimum-cost-human-machine-active-labeling-2006.13999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcal-minimum-cost-human-machine-active-labeling-2006.13999"/></url>
<url><loc>https://scifaro.com/en/abs/subpopulation-data-poisoning-attacks-2006.14026</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subpopulation-data-poisoning-attacks-2006.14026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subpopulation-data-poisoning-attacks-2006.14026"/></url>
<url><loc>https://scifaro.com/en/abs/class-similarity-based-label-smoothing-for-confidence-calibration-2006.14028</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-similarity-based-label-smoothing-for-confidence-calibration-2006.14028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-similarity-based-label-smoothing-for-confidence-calibration-2006.14028"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-explanations-of-neurons-2006.14032</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-explanations-of-neurons-2006.14032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-explanations-of-neurons-2006.14032"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-grids-multi-objective-bayesian-optimization-with-adaptive-discretization-2006.14061</loc><lastmod>2025-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-grids-multi-objective-bayesian-optimization-with-adaptive-discretization-2006.14061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-grids-multi-objective-bayesian-optimization-with-adaptive-discretization-2006.14061"/></url>
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<url><loc>https://scifaro.com/en/abs/ensuring-learning-guarantees-on-concept-drift-detection-with-statistical-learning-theory-2006.14079</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensuring-learning-guarantees-on-concept-drift-detection-with-statistical-learning-theory-2006.14079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensuring-learning-guarantees-on-concept-drift-detection-with-statistical-learning-theory-2006.14079"/></url>
<url><loc>https://scifaro.com/en/abs/multilabel-classification-by-hierarchical-partitioning-and-data-dependent-grouping-2006.14084</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilabel-classification-by-hierarchical-partitioning-and-data-dependent-grouping-2006.14084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilabel-classification-by-hierarchical-partitioning-and-data-dependent-grouping-2006.14084"/></url>
<url><loc>https://scifaro.com/en/abs/topological-insights-into-sparse-neural-networks-2006.14085</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-insights-into-sparse-neural-networks-2006.14085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-insights-into-sparse-neural-networks-2006.14085"/></url>
<url><loc>https://scifaro.com/en/abs/autocp-automated-pipelines-for-accurate-prediction-intervals-2006.14099</loc><lastmod>2020-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autocp-automated-pipelines-for-accurate-prediction-intervals-2006.14099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autocp-automated-pipelines-for-accurate-prediction-intervals-2006.14099"/></url>
<url><loc>https://scifaro.com/en/abs/fast-learning-of-graph-neural-networks-with-guaranteed-generalizability-one-hidden-layer-case-2006.14117</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-learning-of-graph-neural-networks-with-guaranteed-generalizability-one-hidden-layer-case-2006.14117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-learning-of-graph-neural-networks-with-guaranteed-generalizability-one-hidden-layer-case-2006.14117"/></url>
<url><loc>https://scifaro.com/en/abs/the-max-cut-decision-tree-improving-on-the-accuracy-and-running-time-of-decision-trees-2006.14118</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-max-cut-decision-tree-improving-on-the-accuracy-and-running-time-of-decision-trees-2006.14118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-max-cut-decision-tree-improving-on-the-accuracy-and-running-time-of-decision-trees-2006.14118"/></url>
<url><loc>https://scifaro.com/en/abs/on-lyapunov-exponents-for-rnns-understanding-information-propagation-using-dynamical-systems-tools-2006.14123</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-lyapunov-exponents-for-rnns-understanding-information-propagation-using-dynamical-systems-tools-2006.14123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-lyapunov-exponents-for-rnns-understanding-information-propagation-using-dynamical-systems-tools-2006.14123"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-prediction-moving-beyond-scalars-2006.14163</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-prediction-moving-beyond-scalars-2006.14163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-prediction-moving-beyond-scalars-2006.14163"/></url>
<url><loc>https://scifaro.com/en/abs/some-approaches-used-to-overcome-overestimation-in-deep-reinforcement-learning-algorithms-2006.14167</loc><lastmod>2022-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-approaches-used-to-overcome-overestimation-in-deep-reinforcement-learning-algorithms-2006.14167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-approaches-used-to-overcome-overestimation-in-deep-reinforcement-learning-algorithms-2006.14167"/></url>
<url><loc>https://scifaro.com/en/abs/sensei-sensitive-set-invariance-for-enforcing-individual-fairness-2006.14168</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensei-sensitive-set-invariance-for-enforcing-individual-fairness-2006.14168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensei-sensitive-set-invariance-for-enforcing-individual-fairness-2006.14168"/></url>
<url><loc>https://scifaro.com/en/abs/towards-differentially-private-text-representations-2006.14170</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-differentially-private-text-representations-2006.14170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-differentially-private-text-representations-2006.14170"/></url>
<url><loc>https://scifaro.com/en/abs/a-closer-look-at-invalid-action-masking-in-policy-gradient-algorithms-2006.14171</loc><lastmod>2022-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-closer-look-at-invalid-action-masking-in-policy-gradient-algorithms-2006.14171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-closer-look-at-invalid-action-masking-in-policy-gradient-algorithms-2006.14171"/></url>
<url><loc>https://scifaro.com/en/abs/globally-convergent-iteratively-reweighted-least-squares-for-robust-regression-problems-2006.14211</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/globally-convergent-iteratively-reweighted-least-squares-for-robust-regression-problems-2006.14211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/globally-convergent-iteratively-reweighted-least-squares-for-robust-regression-problems-2006.14211"/></url>
<url><loc>https://scifaro.com/en/abs/set-based-stochastic-subsampling-2006.14222</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/set-based-stochastic-subsampling-2006.14222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/set-based-stochastic-subsampling-2006.14222"/></url>
<url><loc>https://scifaro.com/en/abs/green-machine-learning-via-augmented-gaussian-processes-and-multi-information-source-optimization-2006.14233</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/green-machine-learning-via-augmented-gaussian-processes-and-multi-information-source-optimization-2006.14233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/green-machine-learning-via-augmented-gaussian-processes-and-multi-information-source-optimization-2006.14233"/></url>
<url><loc>https://scifaro.com/en/abs/background-knowledge-injection-for-interpretable-sequence-classification-2006.14248</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/background-knowledge-injection-for-interpretable-sequence-classification-2006.14248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/background-knowledge-injection-for-interpretable-sequence-classification-2006.14248"/></url>
<url><loc>https://scifaro.com/en/abs/target-consistency-for-domain-adaptation-when-robustness-meets-transferability-2006.14263</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/target-consistency-for-domain-adaptation-when-robustness-meets-transferability-2006.14263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/target-consistency-for-domain-adaptation-when-robustness-meets-transferability-2006.14263"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-analysis-of-overfitting-and-mode-drop-in-gan-training-2006.14265</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-analysis-of-overfitting-and-mode-drop-in-gan-training-2006.14265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-analysis-of-overfitting-and-mode-drop-in-gan-training-2006.14265"/></url>
<url><loc>https://scifaro.com/en/abs/combining-ensemble-kalman-filter-and-reservoir-computing-to-predict-spatio-temporal-chaotic-systems-from-imperfect-observations-and-models-2006.14276</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-ensemble-kalman-filter-and-reservoir-computing-to-predict-spatio-temporal-chaotic-systems-from-imperfect-observations-and-models-2006.14276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-ensemble-kalman-filter-and-reservoir-computing-to-predict-spatio-temporal-chaotic-systems-from-imperfect-observations-and-models-2006.14276"/></url>
<url><loc>https://scifaro.com/en/abs/graph-structural-topic-neural-network-2006.14278</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-structural-topic-neural-network-2006.14278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-structural-topic-neural-network-2006.14278"/></url>
<url><loc>https://scifaro.com/en/abs/fast-accurate-and-simple-models-for-tabular-data-via-augmented-distillation-2006.14284</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-accurate-and-simple-models-for-tabular-data-via-augmented-distillation-2006.14284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-accurate-and-simple-models-for-tabular-data-via-augmented-distillation-2006.14284"/></url>
<url><loc>https://scifaro.com/en/abs/implicitly-maximizing-margins-with-the-hinge-loss-2006.14286</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicitly-maximizing-margins-with-the-hinge-loss-2006.14286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicitly-maximizing-margins-with-the-hinge-loss-2006.14286"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-quadratic-discriminant-analysis-under-spiked-covariance-model-2006.14325</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-quadratic-discriminant-analysis-under-spiked-covariance-model-2006.14325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-quadratic-discriminant-analysis-under-spiked-covariance-model-2006.14325"/></url>
<url><loc>https://scifaro.com/en/abs/time-varying-graph-representation-learning-via-higher-order-skip-gram-with-negative-sampling-2006.14330</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-varying-graph-representation-learning-via-higher-order-skip-gram-with-negative-sampling-2006.14330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-varying-graph-representation-learning-via-higher-order-skip-gram-with-negative-sampling-2006.14330"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretical-framework-for-target-propagation-2006.14331</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-framework-for-target-propagation-2006.14331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-framework-for-target-propagation-2006.14331"/></url>
<url><loc>https://scifaro.com/en/abs/epoch-evolving-gaussian-process-guided-learning-2006.14347</loc><lastmod>2024-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/epoch-evolving-gaussian-process-guided-learning-2006.14347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/epoch-evolving-gaussian-process-guided-learning-2006.14347"/></url>
<url><loc>https://scifaro.com/en/abs/data-dependent-pruning-to-find-the-winning-lottery-ticket-2006.14350</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-dependent-pruning-to-find-the-winning-lottery-ticket-2006.14350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-dependent-pruning-to-find-the-winning-lottery-ticket-2006.14350"/></url>
<url><loc>https://scifaro.com/en/abs/stability-enhanced-privacy-and-applications-in-private-stochastic-gradient-descent-2006.14360</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-enhanced-privacy-and-applications-in-private-stochastic-gradient-descent-2006.14360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-enhanced-privacy-and-applications-in-private-stochastic-gradient-descent-2006.14360"/></url>
<url><loc>https://scifaro.com/en/abs/finite-sample-analysis-of-proximal-gradient-td-algorithms-2006.14364</loc><lastmod>2020-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-sample-analysis-of-proximal-gradient-td-algorithms-2006.14364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-sample-analysis-of-proximal-gradient-td-algorithms-2006.14364"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-training-in-artificial-neural-networks-with-dynamic-mode-decomposition-2006.14371</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-training-in-artificial-neural-networks-with-dynamic-mode-decomposition-2006.14371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-training-in-artificial-neural-networks-with-dynamic-mode-decomposition-2006.14371"/></url>
<url><loc>https://scifaro.com/en/abs/solving-differential-equations-using-neural-network-solution-bundles-2006.14372</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-differential-equations-using-neural-network-solution-bundles-2006.14372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-differential-equations-using-neural-network-solution-bundles-2006.14372"/></url>
<url><loc>https://scifaro.com/en/abs/a-canonical-transform-for-strengthening-the-local-l-p-type-universal-approximation-property-2006.14378</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-canonical-transform-for-strengthening-the-local-l-p-type-universal-approximation-property-2006.14378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-canonical-transform-for-strengthening-the-local-l-p-type-universal-approximation-property-2006.14378"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-non-stationary-markov-decision-processes-the-blessing-of-more-optimism-2006.14389</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-non-stationary-markov-decision-processes-the-blessing-of-more-optimism-2006.14389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-non-stationary-markov-decision-processes-the-blessing-of-more-optimism-2006.14389"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-modal-autoencoder-for-functionally-independent-feature-extraction-2006.14390</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-modal-autoencoder-for-functionally-independent-feature-extraction-2006.14390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-modal-autoencoder-for-functionally-independent-feature-extraction-2006.14390"/></url>
<url><loc>https://scifaro.com/en/abs/lifelong-learning-of-graph-neural-networks-for-open-world-node-classification-2006.14422</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifelong-learning-of-graph-neural-networks-for-open-world-node-classification-2006.14422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifelong-learning-of-graph-neural-networks-for-open-world-node-classification-2006.14422"/></url>
<url><loc>https://scifaro.com/en/abs/sequence-to-sequence-models-for-workload-interference-2006.14429</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequence-to-sequence-models-for-workload-interference-2006.14429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequence-to-sequence-models-for-workload-interference-2006.14429"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-with-tangles-algorithmic-framework-and-theoretical-guarantees-2006.14444</loc><lastmod>2025-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-with-tangles-algorithmic-framework-and-theoretical-guarantees-2006.14444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-with-tangles-algorithmic-framework-and-theoretical-guarantees-2006.14444"/></url>
<url><loc>https://scifaro.com/en/abs/the-quenching-activation-behavior-of-the-gradient-descent-dynamics-for-two-layer-neural-network-models-2006.14450</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-quenching-activation-behavior-of-the-gradient-descent-dynamics-for-two-layer-neural-network-models-2006.14450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-quenching-activation-behavior-of-the-gradient-descent-dynamics-for-two-layer-neural-network-models-2006.14450"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-spectral-clustering-with-nystrom-approximation-practical-and-theoretical-aspects-2006.14470</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-spectral-clustering-with-nystrom-approximation-practical-and-theoretical-aspects-2006.14470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-spectral-clustering-with-nystrom-approximation-practical-and-theoretical-aspects-2006.14470"/></url>
<url><loc>https://scifaro.com/en/abs/active-online-learning-with-hidden-shifting-domains-2006.14481</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-online-learning-with-hidden-shifting-domains-2006.14481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-online-learning-with-hidden-shifting-domains-2006.14481"/></url>
<url><loc>https://scifaro.com/en/abs/uncovering-the-connections-between-adversarial-transferability-and-knowledge-transferability-2006.14512</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncovering-the-connections-between-adversarial-transferability-and-knowledge-transferability-2006.14512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncovering-the-connections-between-adversarial-transferability-and-knowledge-transferability-2006.14512"/></url>
<url><loc>https://scifaro.com/en/abs/taming-neural-networks-with-tusla-non-convex-learning-via-adaptive-stochastic-gradient-langevin-algorithms-2006.14514</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taming-neural-networks-with-tusla-non-convex-learning-via-adaptive-stochastic-gradient-langevin-algorithms-2006.14514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taming-neural-networks-with-tusla-non-convex-learning-via-adaptive-stochastic-gradient-langevin-algorithms-2006.14514"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-adversarial-training-2006.14536</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-adversarial-training-2006.14536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-adversarial-training-2006.14536"/></url>
<url><loc>https://scifaro.com/en/abs/between-domain-instance-transition-via-the-process-of-gibbs-sampling-in-rbm-2006.14538</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/between-domain-instance-transition-via-the-process-of-gibbs-sampling-in-rbm-2006.14538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/between-domain-instance-transition-via-the-process-of-gibbs-sampling-in-rbm-2006.14538"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-using-deep-reconstruction-and-forecasting-for-autonomous-systems-2006.14556</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-using-deep-reconstruction-and-forecasting-for-autonomous-systems-2006.14556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-using-deep-reconstruction-and-forecasting-for-autonomous-systems-2006.14556"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-convex-optimization-via-adaptively-regularized-hard-thresholding-2006.14571</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-convex-optimization-via-adaptively-regularized-hard-thresholding-2006.14571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-convex-optimization-via-adaptively-regularized-hard-thresholding-2006.14571"/></url>
<url><loc>https://scifaro.com/en/abs/replication-robust-payoff-allocation-for-machine-learning-data-markets-2006.14583</loc><lastmod>2022-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/replication-robust-payoff-allocation-for-machine-learning-data-markets-2006.14583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/replication-robust-payoff-allocation-for-machine-learning-data-markets-2006.14583"/></url>
<url><loc>https://scifaro.com/en/abs/the-effect-of-optimization-methods-on-the-robustness-of-out-of-distribution-detection-approaches-2006.14584</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effect-of-optimization-methods-on-the-robustness-of-out-of-distribution-detection-approaches-2006.14584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effect-of-optimization-methods-on-the-robustness-of-out-of-distribution-detection-approaches-2006.14584"/></url>
<url><loc>https://scifaro.com/en/abs/bidirectional-compression-in-heterogeneous-settings-for-distributed-or-federated-learning-with-partial-participation-tight-convergence-guarantees-2006.14591</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bidirectional-compression-in-heterogeneous-settings-for-distributed-or-federated-learning-with-partial-participation-tight-convergence-guarantees-2006.14591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bidirectional-compression-in-heterogeneous-settings-for-distributed-or-federated-learning-with-partial-participation-tight-convergence-guarantees-2006.14591"/></url>
<url><loc>https://scifaro.com/en/abs/newton-type-methods-for-minimax-optimization-2006.14592</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/newton-type-methods-for-minimax-optimization-2006.14592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/newton-type-methods-for-minimax-optimization-2006.14592"/></url>
<url><loc>https://scifaro.com/en/abs/the-surprising-simplicity-of-the-early-time-learning-dynamics-of-neural-networks-2006.14599</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-surprising-simplicity-of-the-early-time-learning-dynamics-of-neural-networks-2006.14599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-surprising-simplicity-of-the-early-time-learning-dynamics-of-neural-networks-2006.14599"/></url>
<url><loc>https://scifaro.com/en/abs/ensembles-of-generative-adversarial-networks-for-disconnected-data-2006.14600</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensembles-of-generative-adversarial-networks-for-disconnected-data-2006.14600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensembles-of-generative-adversarial-networks-for-disconnected-data-2006.14600"/></url>
<url><loc>https://scifaro.com/en/abs/global-convergence-and-generalization-bound-of-gradient-based-meta-learning-with-deep-neural-nets-2006.14606</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convergence-and-generalization-bound-of-gradient-based-meta-learning-with-deep-neural-nets-2006.14606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convergence-and-generalization-bound-of-gradient-based-meta-learning-with-deep-neural-nets-2006.14606"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-with-a-prior-for-the-optimum-2006.14608</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-with-a-prior-for-the-optimum-2006.14608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-with-a-prior-for-the-optimum-2006.14608"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-multiscale-entropy-and-neural-network-regularization-2006.14614</loc><lastmod>2020-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-multiscale-entropy-and-neural-network-regularization-2006.14614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-multiscale-entropy-and-neural-network-regularization-2006.14614"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-quantum-neural-networks-2006.14619</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-quantum-neural-networks-2006.14619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-quantum-neural-networks-2006.14619"/></url>
<url><loc>https://scifaro.com/en/abs/influence-functions-in-deep-learning-are-fragile-2006.14651</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/influence-functions-in-deep-learning-are-fragile-2006.14651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/influence-functions-in-deep-learning-are-fragile-2006.14651"/></url>
<url><loc>https://scifaro.com/en/abs/can-3d-adversarial-logos-cloak-humans-2006.14655</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-3d-adversarial-logos-cloak-humans-2006.14655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-3d-adversarial-logos-cloak-humans-2006.14655"/></url>
<url><loc>https://scifaro.com/en/abs/average-case-complexity-of-teaching-convex-polytopes-via-halfspace-queries-2006.14677</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/average-case-complexity-of-teaching-convex-polytopes-via-halfspace-queries-2006.14677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/average-case-complexity-of-teaching-convex-polytopes-via-halfspace-queries-2006.14677"/></url>
<url><loc>https://scifaro.com/en/abs/mtadam-automatic-balancing-of-multiple-training-loss-terms-2006.14683</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mtadam-automatic-balancing-of-multiple-training-loss-terms-2006.14683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mtadam-automatic-balancing-of-multiple-training-loss-terms-2006.14683"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-driven-drug-repurposing-for-covid-19-2006.14707</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-driven-drug-repurposing-for-covid-19-2006.14707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-driven-drug-repurposing-for-covid-19-2006.14707"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-multi-agent-active-search-2006.14718</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-multi-agent-active-search-2006.14718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-multi-agent-active-search-2006.14718"/></url>
<url><loc>https://scifaro.com/en/abs/proper-network-interpretability-helps-adversarial-robustness-in-classification-2006.14748</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proper-network-interpretability-helps-adversarial-robustness-in-classification-2006.14748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proper-network-interpretability-helps-adversarial-robustness-in-classification-2006.14748"/></url>
<url><loc>https://scifaro.com/en/abs/deltagrad-rapid-retraining-of-machine-learning-models-2006.14755</loc><lastmod>2020-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deltagrad-rapid-retraining-of-machine-learning-models-2006.14755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deltagrad-rapid-retraining-of-machine-learning-models-2006.14755"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-bound-for-the-conditional-value-at-risk-2006.14763</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-bound-for-the-conditional-value-at-risk-2006.14763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-bound-for-the-conditional-value-at-risk-2006.14763"/></url>
<url><loc>https://scifaro.com/en/abs/deep-partition-aggregation-provable-defense-against-general-poisoning-attacks-2006.14768</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-partition-aggregation-provable-defense-against-general-poisoning-attacks-2006.14768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-partition-aggregation-provable-defense-against-general-poisoning-attacks-2006.14768"/></url>
<url><loc>https://scifaro.com/en/abs/supermasks-in-superposition-2006.14769</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supermasks-in-superposition-2006.14769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supermasks-in-superposition-2006.14769"/></url>
<url><loc>https://scifaro.com/en/abs/q-learning-with-differential-entropy-of-q-tables-2006.14795</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/q-learning-with-differential-entropy-of-q-tables-2006.14795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/q-learning-with-differential-entropy-of-q-tables-2006.14795"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-convex-regularizers-of-cnn-architectures-convex-optimization-of-two-and-three-layer-networks-in-polynomial-time-2006.14798</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-convex-regularizers-of-cnn-architectures-convex-optimization-of-two-and-three-layer-networks-in-polynomial-time-2006.14798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-convex-regularizers-of-cnn-architectures-convex-optimization-of-two-and-three-layer-networks-in-polynomial-time-2006.14798"/></url>
<url><loc>https://scifaro.com/en/abs/not-all-failure-modes-are-created-equal-training-deep-neural-networks-for-explicable-mis-classification-2006.14841</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/not-all-failure-modes-are-created-equal-training-deep-neural-networks-for-explicable-mis-classification-2006.14841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/not-all-failure-modes-are-created-equal-training-deep-neural-networks-for-explicable-mis-classification-2006.14841"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-deep-models-as-defense-against-black-box-attacks-2006.14856</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-deep-models-as-defense-against-black-box-attacks-2006.14856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-deep-models-as-defense-against-black-box-attacks-2006.14856"/></url>
<url><loc>https://scifaro.com/en/abs/can-we-mitigate-backdoor-attack-using-adversarial-detection-methods-2006.14871</loc><lastmod>2022-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-we-mitigate-backdoor-attack-using-adversarial-detection-methods-2006.14871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-we-mitigate-backdoor-attack-using-adversarial-detection-methods-2006.14871"/></url>
<url><loc>https://scifaro.com/en/abs/can-autonomous-vehicles-identify-recover-from-and-adapt-to-distribution-shifts-2006.14911</loc><lastmod>2020-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-autonomous-vehicles-identify-recover-from-and-adapt-to-distribution-shifts-2006.14911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-autonomous-vehicles-identify-recover-from-and-adapt-to-distribution-shifts-2006.14911"/></url>
<url><loc>https://scifaro.com/en/abs/does-the-ell-1-norm-learn-a-sparse-graph-under-laplacian-constrained-graphical-models-2006.14925</loc><lastmod>2023-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-the-ell-1-norm-learn-a-sparse-graph-under-laplacian-constrained-graphical-models-2006.14925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-the-ell-1-norm-learn-a-sparse-graph-under-laplacian-constrained-graphical-models-2006.14925"/></url>
<url><loc>https://scifaro.com/en/abs/joints-in-random-forests-2006.14937</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joints-in-random-forests-2006.14937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joints-in-random-forests-2006.14937"/></url>
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<url><loc>https://scifaro.com/en/abs/relative-deviation-margin-bounds-2006.14950</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-deviation-margin-bounds-2006.14950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-deviation-margin-bounds-2006.14950"/></url>
<url><loc>https://scifaro.com/en/abs/online-3d-bin-packing-with-constrained-deep-reinforcement-learning-2006.14978</loc><lastmod>2022-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-3d-bin-packing-with-constrained-deep-reinforcement-learning-2006.14978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-3d-bin-packing-with-constrained-deep-reinforcement-learning-2006.14978"/></url>
<url><loc>https://scifaro.com/en/abs/a-unifying-framework-for-reinforcement-learning-and-planning-2006.15009</loc><lastmod>2022-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unifying-framework-for-reinforcement-learning-and-planning-2006.15009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unifying-framework-for-reinforcement-learning-and-planning-2006.15009"/></url>
<url><loc>https://scifaro.com/en/abs/nearest-neighbour-based-estimates-of-gradients-sharp-nonasymptotic-bounds-and-applications-2006.15043</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearest-neighbour-based-estimates-of-gradients-sharp-nonasymptotic-bounds-and-applications-2006.15043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearest-neighbour-based-estimates-of-gradients-sharp-nonasymptotic-bounds-and-applications-2006.15043"/></url>
<url><loc>https://scifaro.com/en/abs/object-centric-learning-with-slot-attention-2006.15055</loc><lastmod>2020-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/object-centric-learning-with-slot-attention-2006.15055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/object-centric-learning-with-slot-attention-2006.15055"/></url>
<url><loc>https://scifaro.com/en/abs/a-loss-function-for-generative-neural-networks-based-on-watson-s-perceptual-model-2006.15057</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-loss-function-for-generative-neural-networks-based-on-watson-s-perceptual-model-2006.15057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-loss-function-for-generative-neural-networks-based-on-watson-s-perceptual-model-2006.15057"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-reward-driven-imitation-learning-via-generative-model-2006.15061</loc><lastmod>2020-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-reward-driven-imitation-learning-via-generative-model-2006.15061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-reward-driven-imitation-learning-via-generative-model-2006.15061"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-from-the-perspective-of-compression-2006.15078</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-from-the-perspective-of-compression-2006.15078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-from-the-perspective-of-compression-2006.15078"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-generalization-benefit-of-noise-in-stochastic-gradient-descent-2006.15081</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-generalization-benefit-of-noise-in-stochastic-gradient-descent-2006.15081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-generalization-benefit-of-noise-in-stochastic-gradient-descent-2006.15081"/></url>
<url><loc>https://scifaro.com/en/abs/what-can-i-do-here-a-theory-of-affordances-in-reinforcement-learning-2006.15085</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-can-i-do-here-a-theory-of-affordances-in-reinforcement-learning-2006.15085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-can-i-do-here-a-theory-of-affordances-in-reinforcement-learning-2006.15085"/></url>
<url><loc>https://scifaro.com/en/abs/policy-gnn-aggregation-optimization-for-graph-neural-networks-2006.15097</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-gnn-aggregation-optimization-for-graph-neural-networks-2006.15097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-gnn-aggregation-optimization-for-graph-neural-networks-2006.15097"/></url>
<url><loc>https://scifaro.com/en/abs/the-ramifications-of-making-deep-neural-networks-compact-2006.15098</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-ramifications-of-making-deep-neural-networks-compact-2006.15098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-ramifications-of-making-deep-neural-networks-compact-2006.15098"/></url>
<url><loc>https://scifaro.com/en/abs/e2gc-energy-efficient-group-convolution-in-deep-neural-networks-2006.15100</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/e2gc-energy-efficient-group-convolution-in-deep-neural-networks-2006.15100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/e2gc-energy-efficient-group-convolution-in-deep-neural-networks-2006.15100"/></url>
<url><loc>https://scifaro.com/en/abs/building-powerful-and-equivariant-graph-neural-networks-with-structural-message-passing-2006.15107</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-powerful-and-equivariant-graph-neural-networks-with-structural-message-passing-2006.15107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-powerful-and-equivariant-graph-neural-networks-with-structural-message-passing-2006.15107"/></url>
<url><loc>https://scifaro.com/en/abs/learning-predictive-representations-in-autonomous-driving-to-improve-deep-reinforcement-learning-2006.15110</loc><lastmod>2020-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-predictive-representations-in-autonomous-driving-to-improve-deep-reinforcement-learning-2006.15110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-predictive-representations-in-autonomous-driving-to-improve-deep-reinforcement-learning-2006.15110"/></url>
<url><loc>https://scifaro.com/en/abs/mmf-a-loss-extension-for-feature-learning-in-open-set-recognition-2006.15117</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mmf-a-loss-extension-for-feature-learning-in-open-set-recognition-2006.15117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mmf-a-loss-extension-for-feature-learning-in-open-set-recognition-2006.15117"/></url>
<url><loc>https://scifaro.com/en/abs/critic-regularized-regression-2006.15134</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/critic-regularized-regression-2006.15134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/critic-regularized-regression-2006.15134"/></url>
<url><loc>https://scifaro.com/en/abs/dominate-or-delete-decentralized-competing-bandits-in-serial-dictatorship-2006.15166</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dominate-or-delete-decentralized-competing-bandits-in-serial-dictatorship-2006.15166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dominate-or-delete-decentralized-competing-bandits-in-serial-dictatorship-2006.15166"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-uncertainty-estimation-approaches-in-deep-learning-components-for-autonomous-vehicle-applications-2006.15172</loc><lastmod>2020-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-uncertainty-estimation-approaches-in-deep-learning-components-for-autonomous-vehicle-applications-2006.15172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-uncertainty-estimation-approaches-in-deep-learning-components-for-autonomous-vehicle-applications-2006.15172"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-factorization-for-neural-network-ecg-models-2006.15189</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-factorization-for-neural-network-ecg-models-2006.15189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-factorization-for-neural-network-ecg-models-2006.15189"/></url>
<url><loc>https://scifaro.com/en/abs/is-sgd-a-bayesian-sampler-well-almost-2006.15191</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-sgd-a-bayesian-sampler-well-almost-2006.15191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-sgd-a-bayesian-sampler-well-almost-2006.15191"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-corrupted-context-corrupted-contextual-bandits-2006.15194</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-corrupted-context-corrupted-contextual-bandits-2006.15194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-corrupted-context-corrupted-contextual-bandits-2006.15194"/></url>
<url><loc>https://scifaro.com/en/abs/ddpg-striving-for-simplicity-in-continuous-control-off-policy-reinforcement-learning-2006.15199</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ddpg-striving-for-simplicity-in-continuous-control-off-policy-reinforcement-learning-2006.15199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ddpg-striving-for-simplicity-in-continuous-control-off-policy-reinforcement-learning-2006.15199"/></url>
<url><loc>https://scifaro.com/en/abs/atom-robustifying-out-of-distribution-detection-using-outlier-mining-2006.15207</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/atom-robustifying-out-of-distribution-detection-using-outlier-mining-2006.15207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/atom-robustifying-out-of-distribution-detection-using-outlier-mining-2006.15207"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-models-for-learning-to-branch-2006.15212</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-models-for-learning-to-branch-2006.15212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-models-for-learning-to-branch-2006.15212"/></url>
<url><loc>https://scifaro.com/en/abs/traditional-and-accelerated-gradient-descent-for-neural-architecture-search-2006.15218</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/traditional-and-accelerated-gradient-descent-for-neural-architecture-search-2006.15218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/traditional-and-accelerated-gradient-descent-for-neural-architecture-search-2006.15218"/></url>
<url><loc>https://scifaro.com/en/abs/chexpert-approximating-the-chexpert-labeler-for-speed-differentiability-and-probabilistic-output-2006.15229</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chexpert-approximating-the-chexpert-labeler-for-speed-differentiability-and-probabilistic-output-2006.15229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chexpert-approximating-the-chexpert-labeler-for-speed-differentiability-and-probabilistic-output-2006.15229"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-batch-augmentation-with-an-effective-distilled-dynamic-soft-label-regularizer-2006.15284</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-batch-augmentation-with-an-effective-distilled-dynamic-soft-label-regularizer-2006.15284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-batch-augmentation-with-an-effective-distilled-dynamic-soft-label-regularizer-2006.15284"/></url>
<url><loc>https://scifaro.com/en/abs/simulation-and-optimisation-of-air-conditioning-systems-using-machine-learning-2006.15296</loc><lastmod>2022-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulation-and-optimisation-of-air-conditioning-systems-using-machine-learning-2006.15296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulation-and-optimisation-of-air-conditioning-systems-using-machine-learning-2006.15296"/></url>
<url><loc>https://scifaro.com/en/abs/seasonal-averaged-one-dependence-estimators-a-novel-algorithm-to-address-seasonal-concept-drift-in-high-dimensional-stream-classification-2006.15311</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seasonal-averaged-one-dependence-estimators-a-novel-algorithm-to-address-seasonal-concept-drift-in-high-dimensional-stream-classification-2006.15311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seasonal-averaged-one-dependence-estimators-a-novel-algorithm-to-address-seasonal-concept-drift-in-high-dimensional-stream-classification-2006.15311"/></url>
<url><loc>https://scifaro.com/en/abs/evolving-metric-learning-for-incremental-and-decremental-features-2006.15334</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolving-metric-learning-for-incremental-and-decremental-features-2006.15334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolving-metric-learning-for-incremental-and-decremental-features-2006.15334"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-machine-teaching-without-teachers-2006.15339</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-machine-teaching-without-teachers-2006.15339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-machine-teaching-without-teachers-2006.15339"/></url>
<url><loc>https://scifaro.com/en/abs/offline-contextual-bandits-with-overparameterized-models-2006.15368</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-contextual-bandits-with-overparameterized-models-2006.15368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-contextual-bandits-with-overparameterized-models-2006.15368"/></url>
<url><loc>https://scifaro.com/en/abs/lessons-learned-from-accident-of-autonomous-vehicle-testing-an-edge-learning-aided-offloading-framework-2006.15382</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lessons-learned-from-accident-of-autonomous-vehicle-testing-an-edge-learning-aided-offloading-framework-2006.15382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lessons-learned-from-accident-of-autonomous-vehicle-testing-an-edge-learning-aided-offloading-framework-2006.15382"/></url>
<url><loc>https://scifaro.com/en/abs/submodular-combinatorial-information-measures-with-applications-in-machine-learning-2006.15412</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/submodular-combinatorial-information-measures-with-applications-in-machine-learning-2006.15412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/submodular-combinatorial-information-measures-with-applications-in-machine-learning-2006.15412"/></url>
<url><loc>https://scifaro.com/en/abs/molecule-edit-graph-attention-network-modeling-chemical-reactions-as-sequences-of-graph-edits-2006.15426</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molecule-edit-graph-attention-network-modeling-chemical-reactions-as-sequences-of-graph-edits-2006.15426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molecule-edit-graph-attention-network-modeling-chemical-reactions-as-sequences-of-graph-edits-2006.15426"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-gradient-clipping-in-private-sgd-a-geometric-perspective-2006.15429</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-gradient-clipping-in-private-sgd-a-geometric-perspective-2006.15429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-gradient-clipping-in-private-sgd-a-geometric-perspective-2006.15429"/></url>
<url><loc>https://scifaro.com/en/abs/gpt-gnn-generative-pre-training-of-graph-neural-networks-2006.15437</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gpt-gnn-generative-pre-training-of-graph-neural-networks-2006.15437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gpt-gnn-generative-pre-training-of-graph-neural-networks-2006.15437"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-and-generalization-of-shallow-neural-networks-with-quadratic-activation-functions-2006.15459</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-and-generalization-of-shallow-neural-networks-with-quadratic-activation-functions-2006.15459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-and-generalization-of-shallow-neural-networks-with-quadratic-activation-functions-2006.15459"/></url>
<url><loc>https://scifaro.com/en/abs/many-class-few-shot-learning-on-multi-granularity-class-hierarchy-2006.15479</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/many-class-few-shot-learning-on-multi-granularity-class-hierarchy-2006.15479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/many-class-few-shot-learning-on-multi-granularity-class-hierarchy-2006.15479"/></url>
<url><loc>https://scifaro.com/en/abs/laplacian-regularized-few-shot-learning-2006.15486</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/laplacian-regularized-few-shot-learning-2006.15486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/laplacian-regularized-few-shot-learning-2006.15486"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-deep-generative-modeling-for-sparse-graphs-2006.15502</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-deep-generative-modeling-for-sparse-graphs-2006.15502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-deep-generative-modeling-for-sparse-graphs-2006.15502"/></url>
<url><loc>https://scifaro.com/en/abs/graph-convolutional-network-for-recommendation-with-low-pass-collaborative-filters-2006.15516</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-convolutional-network-for-recommendation-with-low-pass-collaborative-filters-2006.15516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-convolutional-network-for-recommendation-with-low-pass-collaborative-filters-2006.15516"/></url>
<url><loc>https://scifaro.com/en/abs/a-confidence-calibrated-moba-game-winner-predictor-2006.15521</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-confidence-calibrated-moba-game-winner-predictor-2006.15521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-confidence-calibrated-moba-game-winner-predictor-2006.15521"/></url>
<url><loc>https://scifaro.com/en/abs/when-and-how-can-deep-generative-models-be-inverted-2006.15555</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-and-how-can-deep-generative-models-be-inverted-2006.15555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-and-how-can-deep-generative-models-be-inverted-2006.15555"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-categorical-variational-inference-with-mixture-of-discrete-normalizing-flows-2006.15568</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-categorical-variational-inference-with-mixture-of-discrete-normalizing-flows-2006.15568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-categorical-variational-inference-with-mixture-of-discrete-normalizing-flows-2006.15568"/></url>
<url><loc>https://scifaro.com/en/abs/vpnet-variable-projection-networks-2006.15590</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vpnet-variable-projection-networks-2006.15590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vpnet-variable-projection-networks-2006.15590"/></url>
<url><loc>https://scifaro.com/en/abs/a-multilevel-approach-to-training-2006.15602</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multilevel-approach-to-training-2006.15602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multilevel-approach-to-training-2006.15602"/></url>
<url><loc>https://scifaro.com/en/abs/layer-sparsity-in-neural-networks-2006.15604</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layer-sparsity-in-neural-networks-2006.15604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layer-sparsity-in-neural-networks-2006.15604"/></url>
<url><loc>https://scifaro.com/en/abs/fda3-federated-defense-against-adversarial-attacks-for-cloud-based-iiot-applications-2006.15632</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fda3-federated-defense-against-adversarial-attacks-for-cloud-based-iiot-applications-2006.15632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fda3-federated-defense-against-adversarial-attacks-for-cloud-based-iiot-applications-2006.15632"/></url>
<url><loc>https://scifaro.com/en/abs/deep-bayesian-quadrature-policy-optimization-2006.15637</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-bayesian-quadrature-policy-optimization-2006.15637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-bayesian-quadrature-policy-optimization-2006.15637"/></url>
<url><loc>https://scifaro.com/en/abs/variational-autoencoding-of-pde-inverse-problems-2006.15641</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-autoencoding-of-pde-inverse-problems-2006.15641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-autoencoding-of-pde-inverse-problems-2006.15641"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-and-mitigating-degree-related-biases-in-graph-convolutional-networks-2006.15643</loc><lastmod>2020-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-and-mitigating-degree-related-biases-in-graph-convolutional-networks-2006.15643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-and-mitigating-degree-related-biases-in-graph-convolutional-networks-2006.15643"/></url>
<url><loc>https://scifaro.com/en/abs/expressive-power-of-invariant-and-equivariant-graph-neural-networks-2006.15646</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expressive-power-of-invariant-and-equivariant-graph-neural-networks-2006.15646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expressive-power-of-invariant-and-equivariant-graph-neural-networks-2006.15646"/></url>
<url><loc>https://scifaro.com/en/abs/breathing-k-means-superior-k-means-solutions-through-dynamic-k-values-2006.15666</loc><lastmod>2024-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breathing-k-means-superior-k-means-solutions-through-dynamic-k-values-2006.15666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breathing-k-means-superior-k-means-solutions-through-dynamic-k-values-2006.15666"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-generalization-in-machine-learning-a-methodological-and-computational-study-2006.15680</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-generalization-in-machine-learning-a-methodological-and-computational-study-2006.15680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-generalization-in-machine-learning-a-methodological-and-computational-study-2006.15680"/></url>
<url><loc>https://scifaro.com/en/abs/lookahead-bounded-q-learning-2006.15690</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lookahead-bounded-q-learning-2006.15690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lookahead-bounded-q-learning-2006.15690"/></url>
<url><loc>https://scifaro.com/en/abs/active-finite-reward-automaton-inference-and-reinforcement-learning-using-queries-and-counterexamples-2006.15714</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-finite-reward-automaton-inference-and-reinforcement-learning-using-queries-and-counterexamples-2006.15714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-finite-reward-automaton-inference-and-reinforcement-learning-using-queries-and-counterexamples-2006.15714"/></url>
<url><loc>https://scifaro.com/en/abs/deep-probabilistic-accelerated-evaluation-a-robust-certifiable-rare-event-simulation-methodology-for-black-box-safety-critical-systems-2006.15722</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-probabilistic-accelerated-evaluation-a-robust-certifiable-rare-event-simulation-methodology-for-black-box-safety-critical-systems-2006.15722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-probabilistic-accelerated-evaluation-a-robust-certifiable-rare-event-simulation-methodology-for-black-box-safety-critical-systems-2006.15722"/></url>
<url><loc>https://scifaro.com/en/abs/causal-explanations-of-image-misclassifications-2006.15739</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-explanations-of-image-misclassifications-2006.15739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-explanations-of-image-misclassifications-2006.15739"/></url>
<url><loc>https://scifaro.com/en/abs/espn-extremely-sparse-pruned-networks-2006.15741</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/espn-extremely-sparse-pruned-networks-2006.15741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/espn-extremely-sparse-pruned-networks-2006.15741"/></url>
<url><loc>https://scifaro.com/en/abs/neural-time-warping-for-multiple-sequence-alignment-2006.15753</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-time-warping-for-multiple-sequence-alignment-2006.15753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-time-warping-for-multiple-sequence-alignment-2006.15753"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-optimal-control-with-observations-at-a-cost-2006.15757</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-optimal-control-with-observations-at-a-cost-2006.15757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-optimal-control-with-observations-at-a-cost-2006.15757"/></url>
<url><loc>https://scifaro.com/en/abs/structural-landmarking-and-interaction-modelling-on-resolution-dilemmas-in-graph-classification-2006.15763</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-landmarking-and-interaction-modelling-on-resolution-dilemmas-in-graph-classification-2006.15763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-landmarking-and-interaction-modelling-on-resolution-dilemmas-in-graph-classification-2006.15763"/></url>
<url><loc>https://scifaro.com/en/abs/heteroskedastic-and-imbalanced-deep-learning-with-adaptive-regularization-2006.15766</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heteroskedastic-and-imbalanced-deep-learning-with-adaptive-regularization-2006.15766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heteroskedastic-and-imbalanced-deep-learning-with-adaptive-regularization-2006.15766"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-nonmyopic-bayesian-optimization-via-one-shot-multi-step-trees-2006.15779</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-nonmyopic-bayesian-optimization-via-one-shot-multi-step-trees-2006.15779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-nonmyopic-bayesian-optimization-via-one-shot-multi-step-trees-2006.15779"/></url>
<url><loc>https://scifaro.com/en/abs/a-no-free-lunch-theorem-for-multitask-learning-2006.15785</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-no-free-lunch-theorem-for-multitask-learning-2006.15785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-no-free-lunch-theorem-for-multitask-learning-2006.15785"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-classification-vector-machine-for-multi-class-classification-2006.15791</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-classification-vector-machine-for-multi-class-classification-2006.15791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-classification-vector-machine-for-multi-class-classification-2006.15791"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-classification-a-solution-for-computational-energy-reduction-2006.15799</loc><lastmod>2021-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-classification-a-solution-for-computational-energy-reduction-2006.15799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-classification-a-solution-for-computational-energy-reduction-2006.15799"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-query-lower-bounds-via-functional-gradients-2006.15812</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-query-lower-bounds-via-functional-gradients-2006.15812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-query-lower-bounds-via-functional-gradients-2006.15812"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-inertia-disentangling-the-effects-of-adaptive-learning-rate-and-momentum-2006.15815</loc><lastmod>2022-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-inertia-disentangling-the-effects-of-adaptive-learning-rate-and-momentum-2006.15815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-inertia-disentangling-the-effects-of-adaptive-learning-rate-and-momentum-2006.15815"/></url>
<url><loc>https://scifaro.com/en/abs/retro-learning-retrosynthetic-planning-with-neural-guided-a-search-2006.15820</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/retro-learning-retrosynthetic-planning-with-neural-guided-a-search-2006.15820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/retro-learning-retrosynthetic-planning-with-neural-guided-a-search-2006.15820"/></url>
<url><loc>https://scifaro.com/en/abs/deep-ordinal-regression-with-label-diversity-2006.15864</loc><lastmod>2022-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-ordinal-regression-with-label-diversity-2006.15864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-ordinal-regression-with-label-diversity-2006.15864"/></url>
<url><loc>https://scifaro.com/en/abs/decorrelated-clustering-with-data-selection-bias-2006.15874</loc><lastmod>2020-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decorrelated-clustering-with-data-selection-bias-2006.15874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decorrelated-clustering-with-data-selection-bias-2006.15874"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-risk-of-model-inversion-using-privacy-guided-training-2006.15877</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-risk-of-model-inversion-using-privacy-guided-training-2006.15877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-risk-of-model-inversion-using-privacy-guided-training-2006.15877"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-shuffle-exchange-networks-for-hard-2d-tasks-2006.15892</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-shuffle-exchange-networks-for-hard-2d-tasks-2006.15892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-shuffle-exchange-networks-for-hard-2d-tasks-2006.15892"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-and-disentangling-feature-components-of-various-complexity-from-dnns-2006.15920</loc><lastmod>2023-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-and-disentangling-feature-components-of-various-complexity-from-dnns-2006.15920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-and-disentangling-feature-components-of-various-complexity-from-dnns-2006.15920"/></url>
<url><loc>https://scifaro.com/en/abs/multi-fidelity-modeling-with-different-input-domain-definitions-using-deep-gaussian-processes-2006.15924</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-fidelity-modeling-with-different-input-domain-definitions-using-deep-gaussian-processes-2006.15924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-fidelity-modeling-with-different-input-domain-definitions-using-deep-gaussian-processes-2006.15924"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-as-a-competitive-feature-free-approach-for-automated-algorithm-selection-on-the-traveling-salesperson-problem-2006.15968</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-as-a-competitive-feature-free-approach-for-automated-algorithm-selection-on-the-traveling-salesperson-problem-2006.15968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-as-a-competitive-feature-free-approach-for-automated-algorithm-selection-on-the-traveling-salesperson-problem-2006.15968"/></url>
<url><loc>https://scifaro.com/en/abs/robustifying-sequential-neural-processes-2006.15987</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustifying-sequential-neural-processes-2006.15987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustifying-sequential-neural-processes-2006.15987"/></url>
<url><loc>https://scifaro.com/en/abs/kendall-transformation-a-robust-representation-of-continuous-data-for-information-theory-2006.15991</loc><lastmod>2023-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kendall-transformation-a-robust-representation-of-continuous-data-for-information-theory-2006.15991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kendall-transformation-a-robust-representation-of-continuous-data-for-information-theory-2006.15991"/></url>
<url><loc>https://scifaro.com/en/abs/local-neighbor-propagation-embedding-2006.16009</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-neighbor-propagation-embedding-2006.16009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-neighbor-propagation-embedding-2006.16009"/></url>
<url><loc>https://scifaro.com/en/abs/concept-and-the-implementation-of-a-tool-to-convert-industry-4-0-environments-modeled-as-fsm-to-an-openai-gym-wrapper-2006.16035</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-and-the-implementation-of-a-tool-to-convert-industry-4-0-environments-modeled-as-fsm-to-an-openai-gym-wrapper-2006.16035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-and-the-implementation-of-a-tool-to-convert-industry-4-0-environments-modeled-as-fsm-to-an-openai-gym-wrapper-2006.16035"/></url>
<url><loc>https://scifaro.com/en/abs/softsort-a-continuous-relaxation-for-the-argsort-operator-2006.16038</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/softsort-a-continuous-relaxation-for-the-argsort-operator-2006.16038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/softsort-a-continuous-relaxation-for-the-argsort-operator-2006.16038"/></url>
<url><loc>https://scifaro.com/en/abs/harnessing-adversarial-distances-to-discover-high-confidence-errors-2006.16055</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harnessing-adversarial-distances-to-discover-high-confidence-errors-2006.16055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harnessing-adversarial-distances-to-discover-high-confidence-errors-2006.16055"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-length-of-stay-in-the-intensive-care-unit-with-temporal-pointwise-convolutional-networks-2006.16109</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-length-of-stay-in-the-intensive-care-unit-with-temporal-pointwise-convolutional-networks-2006.16109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-length-of-stay-in-the-intensive-care-unit-with-temporal-pointwise-convolutional-networks-2006.16109"/></url>
<url><loc>https://scifaro.com/en/abs/extracting-latent-state-representations-with-linear-dynamics-from-rich-observations-2006.16128</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extracting-latent-state-representations-with-linear-dynamics-from-rich-observations-2006.16128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extracting-latent-state-representations-with-linear-dynamics-from-rich-observations-2006.16128"/></url>
<url><loc>https://scifaro.com/en/abs/binary-random-projections-with-controllable-sparsity-patterns-2006.16180</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-random-projections-with-controllable-sparsity-patterns-2006.16180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-random-projections-with-controllable-sparsity-patterns-2006.16180"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-sq-lower-bounds-for-agnostically-learning-halfspaces-and-relus-under-gaussian-marginals-2006.16200</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-sq-lower-bounds-for-agnostically-learning-halfspaces-and-relus-under-gaussian-marginals-2006.16200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-sq-lower-bounds-for-agnostically-learning-halfspaces-and-relus-under-gaussian-marginals-2006.16200"/></url>
<url><loc>https://scifaro.com/en/abs/partitioned-least-squares-2006.16202</loc><lastmod>2024-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partitioned-least-squares-2006.16202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partitioned-least-squares-2006.16202"/></url>
<url><loc>https://scifaro.com/en/abs/composed-fine-tuning-freezing-pre-trained-denoising-autoencoders-for-improved-generalization-2006.16205</loc><lastmod>2023-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composed-fine-tuning-freezing-pre-trained-denoising-autoencoders-for-improved-generalization-2006.16205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composed-fine-tuning-freezing-pre-trained-denoising-autoencoders-for-improved-generalization-2006.16205"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-reinforcement-learning-for-semi-markov-decision-processes-with-neural-odes-2006.16210</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-for-semi-markov-decision-processes-with-neural-odes-2006.16210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-for-semi-markov-decision-processes-with-neural-odes-2006.16210"/></url>
<url><loc>https://scifaro.com/en/abs/object-files-and-schemata-factorizing-declarative-and-procedural-knowledge-in-dynamical-systems-2006.16225</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/object-files-and-schemata-factorizing-declarative-and-procedural-knowledge-in-dynamical-systems-2006.16225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/object-files-and-schemata-factorizing-declarative-and-procedural-knowledge-in-dynamical-systems-2006.16225"/></url>
<url><loc>https://scifaro.com/en/abs/learning-robot-skills-with-temporal-variational-inference-2006.16232</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-robot-skills-with-temporal-variational-inference-2006.16232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-robot-skills-with-temporal-variational-inference-2006.16232"/></url>
<url><loc>https://scifaro.com/en/abs/true-to-the-model-or-true-to-the-data-2006.16234</loc><lastmod>2020-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/true-to-the-model-or-true-to-the-data-2006.16234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/true-to-the-model-or-true-to-the-data-2006.16234"/></url>
<url><loc>https://scifaro.com/en/abs/transformers-are-rnns-fast-autoregressive-transformers-with-linear-attention-2006.16236</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformers-are-rnns-fast-autoregressive-transformers-with-linear-attention-2006.16236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformers-are-rnns-fast-autoregressive-transformers-with-linear-attention-2006.16236"/></url>
<url><loc>https://scifaro.com/en/abs/an-imitation-learning-approach-for-cache-replacement-2006.16239</loc><lastmod>2020-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-imitation-learning-approach-for-cache-replacement-2006.16239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-imitation-learning-approach-for-cache-replacement-2006.16239"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-landscape-of-tucker-decomposition-2006.16297</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-landscape-of-tucker-decomposition-2006.16297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-landscape-of-tucker-decomposition-2006.16297"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-learning-for-debiasing-knowledge-graph-embeddings-2006.16309</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-learning-for-debiasing-knowledge-graph-embeddings-2006.16309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-learning-for-debiasing-knowledge-graph-embeddings-2006.16309"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-knapsack-optimization-towards-efficient-multi-channel-sequential-advertising-2006.16312</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-knapsack-optimization-towards-efficient-multi-channel-sequential-advertising-2006.16312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-knapsack-optimization-towards-efficient-multi-channel-sequential-advertising-2006.16312"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-planning-in-average-reward-markov-decision-processes-2006.16318</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-planning-in-average-reward-markov-decision-processes-2006.16318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-planning-in-average-reward-markov-decision-processes-2006.16318"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-symbolic-methods-using-gradients-for-neural-model-explanation-2006.16322</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-symbolic-methods-using-gradients-for-neural-model-explanation-2006.16322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-symbolic-methods-using-gradients-for-neural-model-explanation-2006.16322"/></url>
<url><loc>https://scifaro.com/en/abs/handling-missing-data-in-decision-trees-a-probabilistic-approach-2006.16341</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/handling-missing-data-in-decision-trees-a-probabilistic-approach-2006.16341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/handling-missing-data-in-decision-trees-a-probabilistic-approach-2006.16341"/></url>
<url><loc>https://scifaro.com/en/abs/multi-head-attention-collaborate-instead-of-concatenate-2006.16362</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-head-attention-collaborate-instead-of-concatenate-2006.16362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-head-attention-collaborate-instead-of-concatenate-2006.16362"/></url>
<url><loc>https://scifaro.com/en/abs/multi-partition-embedding-interaction-with-block-term-format-for-knowledge-graph-completion-2006.16365</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-partition-embedding-interaction-with-block-term-format-for-knowledge-graph-completion-2006.16365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-partition-embedding-interaction-with-block-term-format-for-knowledge-graph-completion-2006.16365"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-cancer-pathology-reports-a-large-scale-comparative-study-2006.16370</loc><lastmod>2021-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-cancer-pathology-reports-a-large-scale-comparative-study-2006.16370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-cancer-pathology-reports-a-large-scale-comparative-study-2006.16370"/></url>
<url><loc>https://scifaro.com/en/abs/improving-calibration-through-the-relationship-with-adversarial-robustness-2006.16375</loc><lastmod>2021-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-calibration-through-the-relationship-with-adversarial-robustness-2006.16375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-calibration-through-the-relationship-with-adversarial-robustness-2006.16375"/></url>
<url><loc>https://scifaro.com/en/abs/hypergraph-random-walks-laplacians-and-clustering-2006.16377</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypergraph-random-walks-laplacians-and-clustering-2006.16377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypergraph-random-walks-laplacians-and-clustering-2006.16377"/></url>
<url><loc>https://scifaro.com/en/abs/an-em-approach-to-non-autoregressive-conditional-sequence-generation-2006.16378</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-em-approach-to-non-autoregressive-conditional-sequence-generation-2006.16378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-em-approach-to-non-autoregressive-conditional-sequence-generation-2006.16378"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-calibration-under-covariate-shift-2006.16405</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-calibration-under-covariate-shift-2006.16405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-calibration-under-covariate-shift-2006.16405"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-algorithms-for-device-placement-of-dnn-graph-operators-2006.16423</loc><lastmod>2020-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-algorithms-for-device-placement-of-dnn-graph-operators-2006.16423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-algorithms-for-device-placement-of-dnn-graph-operators-2006.16423"/></url>
<url><loc>https://scifaro.com/en/abs/biologically-inspired-mechanisms-for-adversarial-robustness-2006.16427</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biologically-inspired-mechanisms-for-adversarial-robustness-2006.16427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biologically-inspired-mechanisms-for-adversarial-robustness-2006.16427"/></url>
<url><loc>https://scifaro.com/en/abs/fast-oscar-and-owl-regression-via-safe-screening-rules-2006.16433</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-oscar-and-owl-regression-via-safe-screening-rules-2006.16433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-oscar-and-owl-regression-via-safe-screening-rules-2006.16433"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-continuous-pareto-exploration-in-multi-task-learning-2006.16434</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-continuous-pareto-exploration-in-multi-task-learning-2006.16434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-continuous-pareto-exploration-in-multi-task-learning-2006.16434"/></url>
<url><loc>https://scifaro.com/en/abs/provable-online-cp-parafac-decomposition-of-a-structured-tensor-via-dictionary-learning-2006.16442</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-online-cp-parafac-decomposition-of-a-structured-tensor-via-dictionary-learning-2006.16442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-online-cp-parafac-decomposition-of-a-structured-tensor-via-dictionary-learning-2006.16442"/></url>
<url><loc>https://scifaro.com/en/abs/model-targeted-poisoning-attacks-with-provable-convergence-2006.16469</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-targeted-poisoning-attacks-with-provable-convergence-2006.16469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-targeted-poisoning-attacks-with-provable-convergence-2006.16469"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-read-through-machine-teaching-2006.16470</loc><lastmod>2020-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-read-through-machine-teaching-2006.16470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-read-through-machine-teaching-2006.16470"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-gan-for-timeseries-generation-2006.16477</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-gan-for-timeseries-generation-2006.16477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-gan-for-timeseries-generation-2006.16477"/></url>
<url><loc>https://scifaro.com/en/abs/online-dynamic-network-embedding-2006.16478</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-dynamic-network-embedding-2006.16478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-dynamic-network-embedding-2006.16478"/></url>
<url><loc>https://scifaro.com/en/abs/sce-scalable-network-embedding-from-sparsest-cut-2006.16499</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sce-scalable-network-embedding-from-sparsest-cut-2006.16499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sce-scalable-network-embedding-from-sparsest-cut-2006.16499"/></url>
<url><loc>https://scifaro.com/en/abs/policy-gradient-optimization-of-thompson-sampling-policies-2006.16507</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-gradient-optimization-of-thompson-sampling-policies-2006.16507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-gradient-optimization-of-thompson-sampling-policies-2006.16507"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-priors-for-data-efficient-transfer-2006.16524</loc><lastmod>2020-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-priors-for-data-efficient-transfer-2006.16524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-priors-for-data-efficient-transfer-2006.16524"/></url>
<url><loc>https://scifaro.com/en/abs/sliced-kernelized-stein-discrepancy-2006.16531</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sliced-kernelized-stein-discrepancy-2006.16531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sliced-kernelized-stein-discrepancy-2006.16531"/></url>
<url><loc>https://scifaro.com/en/abs/theory-inspired-path-regularized-differential-network-architecture-search-2006.16537</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-inspired-path-regularized-differential-network-architecture-search-2006.16537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-inspired-path-regularized-differential-network-architecture-search-2006.16537"/></url>
<url><loc>https://scifaro.com/en/abs/associative-memory-in-iterated-overparameterized-sigmoid-autoencoders-2006.16540</loc><lastmod>2020-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/associative-memory-in-iterated-overparameterized-sigmoid-autoencoders-2006.16540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/associative-memory-in-iterated-overparameterized-sigmoid-autoencoders-2006.16540"/></url>
<url><loc>https://scifaro.com/en/abs/adasgd-bridging-the-gap-between-sgd-and-adam-2006.16541</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adasgd-bridging-the-gap-between-sgd-and-adam-2006.16541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adasgd-bridging-the-gap-between-sgd-and-adam-2006.16541"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-for-leveraging-industrial-equipment-structure-an-application-to-remaining-useful-life-estimation-2006.16556</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-for-leveraging-industrial-equipment-structure-an-application-to-remaining-useful-life-estimation-2006.16556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-for-leveraging-industrial-equipment-structure-an-application-to-remaining-useful-life-estimation-2006.16556"/></url>
<url><loc>https://scifaro.com/en/abs/enabling-continual-learning-with-differentiable-hebbian-plasticity-2006.16558</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enabling-continual-learning-with-differentiable-hebbian-plasticity-2006.16558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enabling-continual-learning-with-differentiable-hebbian-plasticity-2006.16558"/></url>
<url><loc>https://scifaro.com/en/abs/forced-exploration-free-strategies-for-unimodal-bandits-2006.16569</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forced-exploration-free-strategies-for-unimodal-bandits-2006.16569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forced-exploration-free-strategies-for-unimodal-bandits-2006.16569"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-mechanical-analysis-of-neural-network-pruning-2006.16617</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-mechanical-analysis-of-neural-network-pruning-2006.16617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-mechanical-analysis-of-neural-network-pruning-2006.16617"/></url>
<url><loc>https://scifaro.com/en/abs/training-highly-effective-connectivities-within-neural-networks-with-randomly-initialized-fixed-weights-2006.16627</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-highly-effective-connectivities-within-neural-networks-with-randomly-initialized-fixed-weights-2006.16627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-highly-effective-connectivities-within-neural-networks-with-randomly-initialized-fixed-weights-2006.16627"/></url>
<url><loc>https://scifaro.com/en/abs/involutive-mcmc-a-unifying-framework-2006.16653</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/involutive-mcmc-a-unifying-framework-2006.16653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/involutive-mcmc-a-unifying-framework-2006.16653"/></url>
<url><loc>https://scifaro.com/en/abs/constructive-universal-high-dimensional-distribution-generation-through-deep-relu-networks-2006.16664</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructive-universal-high-dimensional-distribution-generation-through-deep-relu-networks-2006.16664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructive-universal-high-dimensional-distribution-generation-through-deep-relu-networks-2006.16664"/></url>
<url><loc>https://scifaro.com/en/abs/r2-b2-recursive-reasoning-based-bayesian-optimization-for-no-regret-learning-in-games-2006.16679</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/r2-b2-recursive-reasoning-based-bayesian-optimization-for-no-regret-learning-in-games-2006.16679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/r2-b2-recursive-reasoning-based-bayesian-optimization-for-no-regret-learning-in-games-2006.16679"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-qualitative-clustering-clustering-mixed-datasets-with-critical-qualitative-information-2006.16701</loc><lastmod>2020-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-qualitative-clustering-clustering-mixed-datasets-with-critical-qualitative-information-2006.16701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-qualitative-clustering-clustering-mixed-datasets-with-critical-qualitative-information-2006.16701"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-reinforcement-learning-a-survey-2006.16712</loc><lastmod>2022-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-a-survey-2006.16712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-a-survey-2006.16712"/></url>
<url><loc>https://scifaro.com/en/abs/neural-datalog-through-time-informed-temporal-modeling-via-logical-specification-2006.16723</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-datalog-through-time-informed-temporal-modeling-via-logical-specification-2006.16723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-datalog-through-time-informed-temporal-modeling-via-logical-specification-2006.16723"/></url>
<url><loc>https://scifaro.com/en/abs/overview-of-gaussian-process-based-multi-fidelity-techniques-with-variable-relationship-between-fidelities-2006.16728</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overview-of-gaussian-process-based-multi-fidelity-techniques-with-variable-relationship-between-fidelities-2006.16728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overview-of-gaussian-process-based-multi-fidelity-techniques-with-variable-relationship-between-fidelities-2006.16728"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-rates-of-distributed-regression-with-imperfect-kernels-2006.16744</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-rates-of-distributed-regression-with-imperfect-kernels-2006.16744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-rates-of-distributed-regression-with-imperfect-kernels-2006.16744"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-fairness-notions-bridging-the-gap-with-real-world-applications-2006.16745</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-fairness-notions-bridging-the-gap-with-real-world-applications-2006.16745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-fairness-notions-bridging-the-gap-with-real-world-applications-2006.16745"/></url>
<url><loc>https://scifaro.com/en/abs/federated-mutual-learning-2006.16765</loc><lastmod>2020-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-mutual-learning-2006.16765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-mutual-learning-2006.16765"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitzness-is-all-you-need-to-tame-off-policy-generative-adversarial-imitation-learning-2006.16785</loc><lastmod>2023-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitzness-is-all-you-need-to-tame-off-policy-generative-adversarial-imitation-learning-2006.16785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitzness-is-all-you-need-to-tame-off-policy-generative-adversarial-imitation-learning-2006.16785"/></url>
<url><loc>https://scifaro.com/en/abs/causality-learning-a-new-perspective-for-interpretable-machine-learning-2006.16789</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causality-learning-a-new-perspective-for-interpretable-machine-learning-2006.16789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causality-learning-a-new-perspective-for-interpretable-machine-learning-2006.16789"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-explanation-of-machine-learning-survival-models-2006.16793</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-explanation-of-machine-learning-survival-models-2006.16793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-explanation-of-machine-learning-survival-models-2006.16793"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-training-of-a-recurrent-neural-network-exploiting-a-multi-scale-dynamic-memory-2006.16800</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-training-of-a-recurrent-neural-network-exploiting-a-multi-scale-dynamic-memory-2006.16800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-training-of-a-recurrent-neural-network-exploiting-a-multi-scale-dynamic-memory-2006.16800"/></url>
<url><loc>https://scifaro.com/en/abs/random-partitioning-forest-for-point-wise-and-collective-anomaly-detection-application-to-intrusion-detection-2006.16801</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-partitioning-forest-for-point-wise-and-collective-anomaly-detection-application-to-intrusion-detection-2006.16801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-partitioning-forest-for-point-wise-and-collective-anomaly-detection-application-to-intrusion-detection-2006.16801"/></url>
<url><loc>https://scifaro.com/en/abs/path-integral-based-convolution-and-pooling-for-graph-neural-networks-2006.16811</loc><lastmod>2022-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/path-integral-based-convolution-and-pooling-for-graph-neural-networks-2006.16811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/path-integral-based-convolution-and-pooling-for-graph-neural-networks-2006.16811"/></url>
<url><loc>https://scifaro.com/en/abs/guided-learning-of-nonconvex-models-through-successive-functional-gradient-optimization-2006.16840</loc><lastmod>2020-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guided-learning-of-nonconvex-models-through-successive-functional-gradient-optimization-2006.16840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guided-learning-of-nonconvex-models-through-successive-functional-gradient-optimization-2006.16840"/></url>
<url><loc>https://scifaro.com/en/abs/a-chain-graph-interpretation-of-real-world-neural-networks-2006.16856</loc><lastmod>2020-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-chain-graph-interpretation-of-real-world-neural-networks-2006.16856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-chain-graph-interpretation-of-real-world-neural-networks-2006.16856"/></url>
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<url><loc>https://scifaro.com/en/abs/meta-learning-requires-meta-augmentation-2007.05549</loc><lastmod>2020-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-requires-meta-augmentation-2007.05549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-requires-meta-augmentation-2007.05549"/></url>
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<url><loc>https://scifaro.com/en/abs/the-computational-limits-of-deep-learning-2007.05558</loc><lastmod>2022-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-computational-limits-of-deep-learning-2007.05558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-computational-limits-of-deep-learning-2007.05558"/></url>
<url><loc>https://scifaro.com/en/abs/reverse-annealing-for-nonnegative-binary-matrix-factorization-2007.05565</loc><lastmod>2021-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reverse-annealing-for-nonnegative-binary-matrix-factorization-2007.05565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reverse-annealing-for-nonnegative-binary-matrix-factorization-2007.05565"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-training-for-improved-out-of-distribution-detection-2007.05566</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-training-for-improved-out-of-distribution-detection-2007.05566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-training-for-improved-out-of-distribution-detection-2007.05566"/></url>
<url><loc>https://scifaro.com/en/abs/variable-skipping-for-autoregressive-range-density-estimation-2007.05572</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-skipping-for-autoregressive-range-density-estimation-2007.05572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-skipping-for-autoregressive-range-density-estimation-2007.05572"/></url>
<url><loc>https://scifaro.com/en/abs/vizarel-a-system-to-help-better-understand-rl-agents-2007.05577</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vizarel-a-system-to-help-better-understand-rl-agents-2007.05577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vizarel-a-system-to-help-better-understand-rl-agents-2007.05577"/></url>
<url><loc>https://scifaro.com/en/abs/deep-contextual-clinical-prediction-with-reverse-distillation-2007.05611</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-contextual-clinical-prediction-with-reverse-distillation-2007.05611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-contextual-clinical-prediction-with-reverse-distillation-2007.05611"/></url>
<url><loc>https://scifaro.com/en/abs/transformations-between-deep-neural-networks-2007.05646</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformations-between-deep-neural-networks-2007.05646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformations-between-deep-neural-networks-2007.05646"/></url>
<url><loc>https://scifaro.com/en/abs/a-computational-separation-between-private-learning-and-online-learning-2007.05665</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-computational-separation-between-private-learning-and-online-learning-2007.05665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-computational-separation-between-private-learning-and-online-learning-2007.05665"/></url>
<url><loc>https://scifaro.com/en/abs/batch-level-experience-replay-with-review-for-continual-learning-2007.05683</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-level-experience-replay-with-review-for-continual-learning-2007.05683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-level-experience-replay-with-review-for-continual-learning-2007.05683"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-linear-speedup-analysis-of-federated-averaging-and-nesterov-fedavg-2007.05690</loc><lastmod>2024-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-linear-speedup-analysis-of-federated-averaging-and-nesterov-fedavg-2007.05690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-linear-speedup-analysis-of-federated-averaging-and-nesterov-fedavg-2007.05690"/></url>
<url><loc>https://scifaro.com/en/abs/long-term-planning-with-deep-reinforcement-learning-on-autonomous-drones-2007.05694</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-term-planning-with-deep-reinforcement-learning-on-autonomous-drones-2007.05694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-term-planning-with-deep-reinforcement-learning-on-autonomous-drones-2007.05694"/></url>
<url><loc>https://scifaro.com/en/abs/m-evolve-structural-mapping-based-data-augmentation-for-graph-classification-2007.05700</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/m-evolve-structural-mapping-based-data-augmentation-for-graph-classification-2007.05700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/m-evolve-structural-mapping-based-data-augmentation-for-graph-classification-2007.05700"/></url>
<url><loc>https://scifaro.com/en/abs/online-parameter-free-learning-of-multiple-low-variance-tasks-2007.05732</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-parameter-free-learning-of-multiple-low-variance-tasks-2007.05732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-parameter-free-learning-of-multiple-low-variance-tasks-2007.05732"/></url>
<url><loc>https://scifaro.com/en/abs/relation-guided-representation-learning-2007.05742</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relation-guided-representation-learning-2007.05742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relation-guided-representation-learning-2007.05742"/></url>
<url><loc>https://scifaro.com/en/abs/feature-interactions-in-xgboost-2007.05758</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-interactions-in-xgboost-2007.05758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-interactions-in-xgboost-2007.05758"/></url>
<url><loc>https://scifaro.com/en/abs/simulating-multi-exit-evacuation-using-deep-reinforcement-learning-2007.05783</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulating-multi-exit-evacuation-using-deep-reinforcement-learning-2007.05783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulating-multi-exit-evacuation-using-deep-reinforcement-learning-2007.05783"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bound-of-globally-optimal-non-convex-neural-network-training-transportation-map-estimation-by-infinite-dimensional-langevin-dynamics-2007.05824</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bound-of-globally-optimal-non-convex-neural-network-training-transportation-map-estimation-by-infinite-dimensional-langevin-dynamics-2007.05824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bound-of-globally-optimal-non-convex-neural-network-training-transportation-map-estimation-by-infinite-dimensional-langevin-dynamics-2007.05824"/></url>
<url><loc>https://scifaro.com/en/abs/autoembedder-a-semi-supervised-dnn-embedding-system-for-clustering-2007.05830</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoembedder-a-semi-supervised-dnn-embedding-system-for-clustering-2007.05830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoembedder-a-semi-supervised-dnn-embedding-system-for-clustering-2007.05830"/></url>
<url><loc>https://scifaro.com/en/abs/control-as-hybrid-inference-2007.05838</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/control-as-hybrid-inference-2007.05838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/control-as-hybrid-inference-2007.05838"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-via-adversarially-contrastive-optimal-transport-2007.05840</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-via-adversarially-contrastive-optimal-transport-2007.05840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-via-adversarially-contrastive-optimal-transport-2007.05840"/></url>
<url><loc>https://scifaro.com/en/abs/submodular-meta-learning-2007.05852</loc><lastmod>2021-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/submodular-meta-learning-2007.05852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/submodular-meta-learning-2007.05852"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-trained-deep-nets-transfer-better-illustration-on-image-classification-2007.05869</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-trained-deep-nets-transfer-better-illustration-on-image-classification-2007.05869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-trained-deep-nets-transfer-better-illustration-on-image-classification-2007.05869"/></url>
<url><loc>https://scifaro.com/en/abs/on-improving-hotspot-detection-through-synthetic-pattern-based-database-enhancement-2007.05879</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-improving-hotspot-detection-through-synthetic-pattern-based-database-enhancement-2007.05879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-improving-hotspot-detection-through-synthetic-pattern-based-database-enhancement-2007.05879"/></url>
<url><loc>https://scifaro.com/en/abs/applying-recent-advances-in-visual-question-answering-to-record-linkage-2007.05881</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-recent-advances-in-visual-question-answering-to-record-linkage-2007.05881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-recent-advances-in-visual-question-answering-to-record-linkage-2007.05881"/></url>
<url><loc>https://scifaro.com/en/abs/learning-abstract-models-for-strategic-exploration-and-fast-reward-transfer-2007.05896</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-abstract-models-for-strategic-exploration-and-fast-reward-transfer-2007.05896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-abstract-models-for-strategic-exploration-and-fast-reward-transfer-2007.05896"/></url>
<url><loc>https://scifaro.com/en/abs/data-efficient-reinforcement-learning-with-self-predictive-representations-2007.05929</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-efficient-reinforcement-learning-with-self-predictive-representations-2007.05929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-efficient-reinforcement-learning-with-self-predictive-representations-2007.05929"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-generalization-of-tanimoto-type-kernels-to-real-valued-functions-2007.05943</loc><lastmod>2025-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-generalization-of-tanimoto-type-kernels-to-real-valued-functions-2007.05943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-generalization-of-tanimoto-type-kernels-to-real-valued-functions-2007.05943"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-graph-identification-can-we-identify-node-labels-given-graph-labels-2007.05970</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-graph-identification-can-we-identify-node-labels-given-graph-labels-2007.05970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-graph-identification-can-we-identify-node-labels-given-graph-labels-2007.05970"/></url>
<url><loc>https://scifaro.com/en/abs/universal-approximation-power-of-deep-residual-neural-networks-via-nonlinear-control-theory-2007.06007</loc><lastmod>2024-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-approximation-power-of-deep-residual-neural-networks-via-nonlinear-control-theory-2007.06007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-approximation-power-of-deep-residual-neural-networks-via-nonlinear-control-theory-2007.06007"/></url>
<url><loc>https://scifaro.com/en/abs/the-impossibility-theorem-of-machine-fairness-a-causal-perspective-2007.06024</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-impossibility-theorem-of-machine-fairness-a-causal-perspective-2007.06024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-impossibility-theorem-of-machine-fairness-a-causal-perspective-2007.06024"/></url>
<url><loc>https://scifaro.com/en/abs/ensuring-fairness-beyond-the-training-data-2007.06029</loc><lastmod>2020-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensuring-fairness-beyond-the-training-data-2007.06029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensuring-fairness-beyond-the-training-data-2007.06029"/></url>
<url><loc>https://scifaro.com/en/abs/an-equivalence-between-loss-functions-and-non-uniform-sampling-in-experience-replay-2007.06049</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-equivalence-between-loss-functions-and-non-uniform-sampling-in-experience-replay-2007.06049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-equivalence-between-loss-functions-and-non-uniform-sampling-in-experience-replay-2007.06049"/></url>
<url><loc>https://scifaro.com/en/abs/it-is-likely-that-your-loss-should-be-a-likelihood-2007.06059</loc><lastmod>2020-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/it-is-likely-that-your-loss-should-be-a-likelihood-2007.06059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/it-is-likely-that-your-loss-should-be-a-likelihood-2007.06059"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-activity-recognition-in-mobile-health-2007.06062</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-activity-recognition-in-mobile-health-2007.06062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-activity-recognition-in-mobile-health-2007.06062"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-uncertainties-from-ensemble-learners-to-improve-decision-making-in-healthcare-ai-2007.06063</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-uncertainties-from-ensemble-learners-to-improve-decision-making-in-healthcare-ai-2007.06063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-uncertainties-from-ensemble-learners-to-improve-decision-making-in-healthcare-ai-2007.06063"/></url>
<url><loc>https://scifaro.com/en/abs/vafl-a-method-of-vertical-asynchronous-federated-learning-2007.06081</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vafl-a-method-of-vertical-asynchronous-federated-learning-2007.06081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vafl-a-method-of-vertical-asynchronous-federated-learning-2007.06081"/></url>
<url><loc>https://scifaro.com/en/abs/interval-universal-approximation-for-neural-networks-2007.06093</loc><lastmod>2022-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interval-universal-approximation-for-neural-networks-2007.06093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interval-universal-approximation-for-neural-networks-2007.06093"/></url>
<url><loc>https://scifaro.com/en/abs/vinnas-variational-inference-based-neural-network-architecture-search-2007.06103</loc><lastmod>2021-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vinnas-variational-inference-based-neural-network-architecture-search-2007.06103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vinnas-variational-inference-based-neural-network-architecture-search-2007.06103"/></url>
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<url><loc>https://scifaro.com/en/abs/disentangled-variational-autoencoder-based-multi-label-classification-with-covariance-aware-multivariate-probit-model-2007.06126</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-variational-autoencoder-based-multi-label-classification-with-covariance-aware-multivariate-probit-model-2007.06126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-variational-autoencoder-based-multi-label-classification-with-covariance-aware-multivariate-probit-model-2007.06126"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-recommendation-via-interpretable-feature-mapping-and-evaluation-of-explainability-2007.06133</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-recommendation-via-interpretable-feature-mapping-and-evaluation-of-explainability-2007.06133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-recommendation-via-interpretable-feature-mapping-and-evaluation-of-explainability-2007.06133"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-periodic-averaging-a-practical-approach-to-reducing-communication-in-distributed-learning-2007.06134</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-periodic-averaging-a-practical-approach-to-reducing-communication-in-distributed-learning-2007.06134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-periodic-averaging-a-practical-approach-to-reducing-communication-in-distributed-learning-2007.06134"/></url>
<url><loc>https://scifaro.com/en/abs/projected-latent-markov-chain-monte-carlo-conditional-sampling-of-normalizing-flows-2007.06140</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projected-latent-markov-chain-monte-carlo-conditional-sampling-of-normalizing-flows-2007.06140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projected-latent-markov-chain-monte-carlo-conditional-sampling-of-normalizing-flows-2007.06140"/></url>
<url><loc>https://scifaro.com/en/abs/implementing-the-ice-estimator-in-multilayer-perceptron-classifiers-2007.06157</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementing-the-ice-estimator-in-multilayer-perceptron-classifiers-2007.06157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementing-the-ice-estimator-in-multilayer-perceptron-classifiers-2007.06157"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-distributional-reinforcement-learning-2007.06159</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-distributional-reinforcement-learning-2007.06159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-distributional-reinforcement-learning-2007.06159"/></url>
<url><loc>https://scifaro.com/en/abs/model-fusion-with-kullback-leibler-divergence-2007.06168</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-fusion-with-kullback-leibler-divergence-2007.06168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-fusion-with-kullback-leibler-divergence-2007.06168"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-maximum-likelihood-and-adversarial-learning-via-alpha-divergence-2007.06178</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-maximum-likelihood-and-adversarial-learning-via-alpha-divergence-2007.06178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-maximum-likelihood-and-adversarial-learning-via-alpha-divergence-2007.06178"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-planning-in-large-mdps-with-weak-linear-function-approximation-2007.06184</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-planning-in-large-mdps-with-weak-linear-function-approximation-2007.06184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-planning-in-large-mdps-with-weak-linear-function-approximation-2007.06184"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-bounds-on-neuron-death-in-deep-rectifier-networks-2007.06192</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-bounds-on-neuron-death-in-deep-rectifier-networks-2007.06192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-bounds-on-neuron-death-in-deep-rectifier-networks-2007.06192"/></url>
<url><loc>https://scifaro.com/en/abs/dinerdash-gym-a-benchmark-for-policy-learning-in-high-dimensional-action-space-2007.06207</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dinerdash-gym-a-benchmark-for-policy-learning-in-high-dimensional-action-space-2007.06207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dinerdash-gym-a-benchmark-for-policy-learning-in-high-dimensional-action-space-2007.06207"/></url>
<url><loc>https://scifaro.com/en/abs/prottrans-towards-cracking-the-language-of-life-s-code-through-self-supervised-deep-learning-and-high-performance-computing-2007.06225</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prottrans-towards-cracking-the-language-of-life-s-code-through-self-supervised-deep-learning-and-high-performance-computing-2007.06225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prottrans-towards-cracking-the-language-of-life-s-code-through-self-supervised-deep-learning-and-high-performance-computing-2007.06225"/></url>
<url><loc>https://scifaro.com/en/abs/amite-a-novel-polynomial-expansion-for-analyzing-neural-network-nonlinearities-2007.06226</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amite-a-novel-polynomial-expansion-for-analyzing-neural-network-nonlinearities-2007.06226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amite-a-novel-polynomial-expansion-for-analyzing-neural-network-nonlinearities-2007.06226"/></url>
<url><loc>https://scifaro.com/en/abs/deep-claim-payer-response-prediction-from-claims-data-with-deep-learning-2007.06229</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-claim-payer-response-prediction-from-claims-data-with-deep-learning-2007.06229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-claim-payer-response-prediction-from-claims-data-with-deep-learning-2007.06229"/></url>
<url><loc>https://scifaro.com/en/abs/using-lstm-for-the-prediction-of-disruption-in-aditya-tokamak-2007.06230</loc><lastmod>2022-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-lstm-for-the-prediction-of-disruption-in-aditya-tokamak-2007.06230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-lstm-for-the-prediction-of-disruption-in-aditya-tokamak-2007.06230"/></url>
<url><loc>https://scifaro.com/en/abs/quality-inference-in-federated-learning-with-secure-aggregation-2007.06236</loc><lastmod>2023-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quality-inference-in-federated-learning-with-secure-aggregation-2007.06236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quality-inference-in-federated-learning-with-secure-aggregation-2007.06236"/></url>
<url><loc>https://scifaro.com/en/abs/reconstruction-bottlenecks-in-object-centric-generative-models-2007.06245</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconstruction-bottlenecks-in-object-centric-generative-models-2007.06245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconstruction-bottlenecks-in-object-centric-generative-models-2007.06245"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-extrinsic-convolution-and-pooling-for-learning-on-3d-protein-structures-2007.06252</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-extrinsic-convolution-and-pooling-for-learning-on-3d-protein-structures-2007.06252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-extrinsic-convolution-and-pooling-for-learning-on-3d-protein-structures-2007.06252"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-training-of-graph-convolutional-networks-2007.06281</loc><lastmod>2022-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-training-of-graph-convolutional-networks-2007.06281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-training-of-graph-convolutional-networks-2007.06281"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-graph-neural-networks-with-lifted-relational-neural-networks-2007.06286</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-graph-neural-networks-with-lifted-relational-neural-networks-2007.06286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-graph-neural-networks-with-lifted-relational-neural-networks-2007.06286"/></url>
<url><loc>https://scifaro.com/en/abs/trustnet-learning-from-trusted-data-against-a-symmetric-label-noise-2007.06324</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trustnet-learning-from-trusted-data-against-a-symmetric-label-noise-2007.06324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trustnet-learning-from-trusted-data-against-a-symmetric-label-noise-2007.06324"/></url>
<url><loc>https://scifaro.com/en/abs/whitening-for-self-supervised-representation-learning-2007.06346</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/whitening-for-self-supervised-representation-learning-2007.06346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/whitening-for-self-supervised-representation-learning-2007.06346"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-bandit-with-missing-rewards-2007.06368</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-bandit-with-missing-rewards-2007.06368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-bandit-with-missing-rewards-2007.06368"/></url>
<url><loc>https://scifaro.com/en/abs/rule-covering-for-interpretation-and-boosting-2007.06379</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rule-covering-for-interpretation-and-boosting-2007.06379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rule-covering-for-interpretation-and-boosting-2007.06379"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-defense-against-adversarial-attacks-on-heatmap-explanations-2007.06381</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-defense-against-adversarial-attacks-on-heatmap-explanations-2007.06381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-defense-against-adversarial-attacks-on-heatmap-explanations-2007.06381"/></url>
<url><loc>https://scifaro.com/en/abs/lessons-learned-from-the-training-of-gans-on-artificial-datasets-2007.06418</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lessons-learned-from-the-training-of-gans-on-artificial-datasets-2007.06418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lessons-learned-from-the-training-of-gans-on-artificial-datasets-2007.06418"/></url>
<url><loc>https://scifaro.com/en/abs/a-provably-efficient-sample-collection-strategy-for-reinforcement-learning-2007.06437</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-provably-efficient-sample-collection-strategy-for-reinforcement-learning-2007.06437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-provably-efficient-sample-collection-strategy-for-reinforcement-learning-2007.06437"/></url>
<url><loc>https://scifaro.com/en/abs/pri-vae-principle-of-relevant-information-variational-autoencoders-2007.06503</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pri-vae-principle-of-relevant-information-variational-autoencoders-2007.06503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pri-vae-principle-of-relevant-information-variational-autoencoders-2007.06503"/></url>
<url><loc>https://scifaro.com/en/abs/s2rms-spatially-structured-recurrent-modules-2007.06533</loc><lastmod>2020-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/s2rms-spatially-structured-recurrent-modules-2007.06533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/s2rms-spatially-structured-recurrent-modules-2007.06533"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-via-robust-low-rank-representations-2007.06555</loc><lastmod>2020-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-via-robust-low-rank-representations-2007.06555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-via-robust-low-rank-representations-2007.06555"/></url>
<url><loc>https://scifaro.com/en/abs/graph-structure-of-neural-networks-2007.06559</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-structure-of-neural-networks-2007.06559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-structure-of-neural-networks-2007.06559"/></url>
<url><loc>https://scifaro.com/en/abs/lossless-compression-of-structured-convolutional-models-via-lifting-2007.06567</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lossless-compression-of-structured-convolutional-models-via-lifting-2007.06567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lossless-compression-of-structured-convolutional-models-via-lifting-2007.06567"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-amplification-via-random-check-ins-2007.06605</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-amplification-via-random-check-ins-2007.06605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-amplification-via-random-check-ins-2007.06605"/></url>
<url><loc>https://scifaro.com/en/abs/t-basis-a-compact-representation-for-neural-networks-2007.06631</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/t-basis-a-compact-representation-for-neural-networks-2007.06631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/t-basis-a-compact-representation-for-neural-networks-2007.06631"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-control-for-linear-dynamical-systems-2007.06650</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-control-for-linear-dynamical-systems-2007.06650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-control-for-linear-dynamical-systems-2007.06650"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-kernel-machines-2007.06655</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-kernel-machines-2007.06655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-kernel-machines-2007.06655"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-to-spurious-correlations-via-human-annotations-2007.06661</loc><lastmod>2020-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-to-spurious-correlations-via-human-annotations-2007.06661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-to-spurious-correlations-via-human-annotations-2007.06661"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-sequences-of-traversed-nodes-in-graphs-using-network-models-with-multiple-higher-orders-2007.06662</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-sequences-of-traversed-nodes-in-graphs-using-network-models-with-multiple-higher-orders-2007.06662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-sequences-of-traversed-nodes-in-graphs-using-network-models-with-multiple-higher-orders-2007.06662"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-approach-to-assess-student-group-collaboration-using-individual-level-behavioral-cues-2007.06667</loc><lastmod>2020-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-approach-to-assess-student-group-collaboration-using-individual-level-behavioral-cues-2007.06667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-approach-to-assess-student-group-collaboration-using-individual-level-behavioral-cues-2007.06667"/></url>
<url><loc>https://scifaro.com/en/abs/momentum-based-policy-gradient-methods-2007.06680</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/momentum-based-policy-gradient-methods-2007.06680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/momentum-based-policy-gradient-methods-2007.06680"/></url>
<url><loc>https://scifaro.com/en/abs/geostat-representations-of-time-series-for-fast-classification-2007.06682</loc><lastmod>2021-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geostat-representations-of-time-series-for-fast-classification-2007.06682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geostat-representations-of-time-series-for-fast-classification-2007.06682"/></url>
<url><loc>https://scifaro.com/en/abs/a-systematic-survey-on-deep-generative-models-for-graph-generation-2007.06686</loc><lastmod>2022-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-systematic-survey-on-deep-generative-models-for-graph-generation-2007.06686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-systematic-survey-on-deep-generative-models-for-graph-generation-2007.06686"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-fundamentals-of-experience-replay-2007.06700</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-fundamentals-of-experience-replay-2007.06700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-fundamentals-of-experience-replay-2007.06700"/></url>
<url><loc>https://scifaro.com/en/abs/learning-generalized-relational-heuristic-networks-for-model-agnostic-planning-2007.06702</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-generalized-relational-heuristic-networks-for-model-agnostic-planning-2007.06702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-generalized-relational-heuristic-networks-for-model-agnostic-planning-2007.06702"/></url>
<url><loc>https://scifaro.com/en/abs/learning-retrospective-knowledge-with-reverse-reinforcement-learning-2007.06703</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-retrospective-knowledge-with-reverse-reinforcement-learning-2007.06703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-retrospective-knowledge-with-reverse-reinforcement-learning-2007.06703"/></url>
<url><loc>https://scifaro.com/en/abs/node-copying-for-protection-against-graph-neural-network-topology-attacks-2007.06704</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-copying-for-protection-against-graph-neural-network-topology-attacks-2007.06704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-copying-for-protection-against-graph-neural-network-topology-attacks-2007.06704"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-linear-autoencoders-recover-the-principal-components-eventually-2007.06731</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-linear-autoencoders-recover-the-principal-components-eventually-2007.06731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-linear-autoencoders-recover-the-principal-components-eventually-2007.06731"/></url>
<url><loc>https://scifaro.com/en/abs/representation-transfer-by-optimal-transport-2007.06737</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-transfer-by-optimal-transport-2007.06737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-transfer-by-optimal-transport-2007.06737"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-bias-in-deep-linear-classification-initialization-scale-vs-training-accuracy-2007.06738</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-bias-in-deep-linear-classification-initialization-scale-vs-training-accuracy-2007.06738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-bias-in-deep-linear-classification-initialization-scale-vs-training-accuracy-2007.06738"/></url>
<url><loc>https://scifaro.com/en/abs/single-partition-adaptive-q-learning-2007.06741</loc><lastmod>2020-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-partition-adaptive-q-learning-2007.06741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-partition-adaptive-q-learning-2007.06741"/></url>
<url><loc>https://scifaro.com/en/abs/wor-and-p-s-sketches-for-ell-p-sampling-without-replacement-2007.06744</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wor-and-p-s-sketches-for-ell-p-sampling-without-replacement-2007.06744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wor-and-p-s-sketches-for-ell-p-sampling-without-replacement-2007.06744"/></url>
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<url><loc>https://scifaro.com/en/abs/detecting-out-of-distribution-samples-via-variational-auto-encoder-with-reliable-uncertainty-estimation-2007.08128</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-out-of-distribution-samples-via-variational-auto-encoder-with-reliable-uncertainty-estimation-2007.08128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-out-of-distribution-samples-via-variational-auto-encoder-with-reliable-uncertainty-estimation-2007.08128"/></url>
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<url><loc>https://scifaro.com/en/abs/amended-cross-entropy-cost-framework-for-explicit-diversity-encouragement-2007.08140</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amended-cross-entropy-cost-framework-for-explicit-diversity-encouragement-2007.08140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amended-cross-entropy-cost-framework-for-explicit-diversity-encouragement-2007.08140"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-rule-based-multi-label-classification-2007.08145</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-rule-based-multi-label-classification-2007.08145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-rule-based-multi-label-classification-2007.08145"/></url>
<url><loc>https://scifaro.com/en/abs/neuromodulated-neural-architectures-with-local-error-signals-for-memory-constrained-online-continual-learning-2007.08159</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuromodulated-neural-architectures-with-local-error-signals-for-memory-constrained-online-continual-learning-2007.08159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuromodulated-neural-architectures-with-local-error-signals-for-memory-constrained-online-continual-learning-2007.08159"/></url>
<url><loc>https://scifaro.com/en/abs/csi-novelty-detection-via-contrastive-learning-on-distributionally-shifted-instances-2007.08176</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/csi-novelty-detection-via-contrastive-learning-on-distributionally-shifted-instances-2007.08176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/csi-novelty-detection-via-contrastive-learning-on-distributionally-shifted-instances-2007.08176"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-noisy-labels-with-deep-neural-networks-a-survey-2007.08199</loc><lastmod>2022-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-noisy-labels-with-deep-neural-networks-a-survey-2007.08199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-noisy-labels-with-deep-neural-networks-a-survey-2007.08199"/></url>
<url><loc>https://scifaro.com/en/abs/provably-good-batch-reinforcement-learning-without-great-exploration-2007.08202</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-good-batch-reinforcement-learning-without-great-exploration-2007.08202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-good-batch-reinforcement-learning-without-great-exploration-2007.08202"/></url>
<url><loc>https://scifaro.com/en/abs/graph-topology-inference-benchmarks-for-machine-learning-2007.08216</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-topology-inference-benchmarks-for-machine-learning-2007.08216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-topology-inference-benchmarks-for-machine-learning-2007.08216"/></url>
<url><loc>https://scifaro.com/en/abs/drift-deep-reinforcement-learning-for-functional-software-testing-2007.08220</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drift-deep-reinforcement-learning-for-functional-software-testing-2007.08220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drift-deep-reinforcement-learning-for-functional-software-testing-2007.08220"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-of-step-returns-in-bootstrapped-dqn-2007.08229</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-of-step-returns-in-bootstrapped-dqn-2007.08229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-of-step-returns-in-bootstrapped-dqn-2007.08229"/></url>
<url><loc>https://scifaro.com/en/abs/radial-basis-function-kernel-optimization-for-support-vector-machine-classifiers-2007.08233</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/radial-basis-function-kernel-optimization-for-support-vector-machine-classifiers-2007.08233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/radial-basis-function-kernel-optimization-for-support-vector-machine-classifiers-2007.08233"/></url>
<url><loc>https://scifaro.com/en/abs/lottery-tickets-in-linear-models-an-analysis-of-iterative-magnitude-pruning-2007.08243</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lottery-tickets-in-linear-models-an-analysis-of-iterative-magnitude-pruning-2007.08243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lottery-tickets-in-linear-models-an-analysis-of-iterative-magnitude-pruning-2007.08243"/></url>
<url><loc>https://scifaro.com/en/abs/transferable-calibration-with-lower-bias-and-variance-in-domain-adaptation-2007.08259</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferable-calibration-with-lower-bias-and-variance-in-domain-adaptation-2007.08259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferable-calibration-with-lower-bias-and-variance-in-domain-adaptation-2007.08259"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-auxiliary-learning-with-meta-paths-for-heterogeneous-graphs-2007.08294</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-auxiliary-learning-with-meta-paths-for-heterogeneous-graphs-2007.08294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-auxiliary-learning-with-meta-paths-for-heterogeneous-graphs-2007.08294"/></url>
<url><loc>https://scifaro.com/en/abs/natural-graph-networks-2007.08349</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-graph-networks-2007.08349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-graph-networks-2007.08349"/></url>
<url><loc>https://scifaro.com/en/abs/random-forest-for-dissimilarity-based-multi-view-learning-2007.08377</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-forest-for-dissimilarity-based-multi-view-learning-2007.08377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-forest-for-dissimilarity-based-multi-view-learning-2007.08377"/></url>
<url><loc>https://scifaro.com/en/abs/on-adversarial-robustness-a-neural-architecture-search-perspective-2007.08428</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-adversarial-robustness-a-neural-architecture-search-perspective-2007.08428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-adversarial-robustness-a-neural-architecture-search-perspective-2007.08428"/></url>
<url><loc>https://scifaro.com/en/abs/data-poisoning-attacks-against-federated-learning-systems-2007.08432</loc><lastmod>2020-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-poisoning-attacks-against-federated-learning-systems-2007.08432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-poisoning-attacks-against-federated-learning-systems-2007.08432"/></url>
<url><loc>https://scifaro.com/en/abs/meta-gradient-reinforcement-learning-with-an-objective-discovered-online-2007.08433</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-gradient-reinforcement-learning-with-an-objective-discovered-online-2007.08433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-gradient-reinforcement-learning-with-an-objective-discovered-online-2007.08433"/></url>
<url><loc>https://scifaro.com/en/abs/comparator-adaptive-convex-bandits-2007.08448</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparator-adaptive-convex-bandits-2007.08448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparator-adaptive-convex-bandits-2007.08448"/></url>
<url><loc>https://scifaro.com/en/abs/learning-perturbation-sets-for-robust-machine-learning-2007.08450</loc><lastmod>2020-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-perturbation-sets-for-robust-machine-learning-2007.08450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-perturbation-sets-for-robust-machine-learning-2007.08450"/></url>
<url><loc>https://scifaro.com/en/abs/pc-pg-policy-cover-directed-exploration-for-provable-policy-gradient-learning-2007.08459</loc><lastmod>2020-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pc-pg-policy-cover-directed-exploration-for-provable-policy-gradient-learning-2007.08459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pc-pg-policy-cover-directed-exploration-for-provable-policy-gradient-learning-2007.08459"/></url>
<url><loc>https://scifaro.com/en/abs/certifiably-adversarially-robust-detection-of-out-of-distribution-data-2007.08473</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certifiably-adversarially-robust-detection-of-out-of-distribution-data-2007.08473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certifiably-adversarially-robust-detection-of-out-of-distribution-data-2007.08473"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-under-label-shift-2007.08479</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-under-label-shift-2007.08479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-under-label-shift-2007.08479"/></url>
<url><loc>https://scifaro.com/en/abs/on-power-laws-in-deep-ensembles-2007.08483</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-power-laws-in-deep-ensembles-2007.08483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-power-laws-in-deep-ensembles-2007.08483"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-the-onset-of-cardiovascular-diseases-from-electronic-health-records-using-multi-task-gated-recurrent-units-2007.08491</loc><lastmod>2020-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-the-onset-of-cardiovascular-diseases-from-electronic-health-records-using-multi-task-gated-recurrent-units-2007.08491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-the-onset-of-cardiovascular-diseases-from-electronic-health-records-using-multi-task-gated-recurrent-units-2007.08491"/></url>
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<url><loc>https://scifaro.com/en/abs/accelerating-robustness-verification-of-deep-neural-networks-guided-by-target-labels-2007.08520</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-robustness-verification-of-deep-neural-networks-guided-by-target-labels-2007.08520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-robustness-verification-of-deep-neural-networks-guided-by-target-labels-2007.08520"/></url>
<url><loc>https://scifaro.com/en/abs/fadacs-a-few-shot-adversarial-domain-adaptation-architecture-for-context-aware-parking-availability-sensing-2007.08551</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fadacs-a-few-shot-adversarial-domain-adaptation-architecture-for-context-aware-parking-availability-sensing-2007.08551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fadacs-a-few-shot-adversarial-domain-adaptation-architecture-for-context-aware-parking-availability-sensing-2007.08551"/></url>
<url><loc>https://scifaro.com/en/abs/a-smoothed-analysis-of-online-lasso-for-the-sparse-linear-contextual-bandit-problem-2007.08561</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-smoothed-analysis-of-online-lasso-for-the-sparse-linear-contextual-bandit-problem-2007.08561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-smoothed-analysis-of-online-lasso-for-the-sparse-linear-contextual-bandit-problem-2007.08561"/></url>
<url><loc>https://scifaro.com/en/abs/cones-convex-natural-evolutionary-strategies-2007.08601</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cones-convex-natural-evolutionary-strategies-2007.08601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cones-convex-natural-evolutionary-strategies-2007.08601"/></url>
<url><loc>https://scifaro.com/en/abs/collision-avoidance-robotics-via-meta-learning-carml-2007.08616</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collision-avoidance-robotics-via-meta-learning-carml-2007.08616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collision-avoidance-robotics-via-meta-learning-carml-2007.08616"/></url>
<url><loc>https://scifaro.com/en/abs/the-monte-carlo-transformer-a-stochastic-self-attention-model-for-sequence-prediction-2007.08620</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-monte-carlo-transformer-a-stochastic-self-attention-model-for-sequence-prediction-2007.08620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-monte-carlo-transformer-a-stochastic-self-attention-model-for-sequence-prediction-2007.08620"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-deep-learning-for-uncovering-actionable-scientific-insights-for-materials-discovery-and-design-2007.08631</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-deep-learning-for-uncovering-actionable-scientific-insights-for-materials-discovery-and-design-2007.08631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-deep-learning-for-uncovering-actionable-scientific-insights-for-materials-discovery-and-design-2007.08631"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-for-node-level-predictions-2007.08649</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-for-node-level-predictions-2007.08649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-for-node-level-predictions-2007.08649"/></url>
<url><loc>https://scifaro.com/en/abs/training-with-reduced-precision-of-a-support-vector-machine-model-for-text-classification-2007.08657</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-with-reduced-precision-of-a-support-vector-machine-model-for-text-classification-2007.08657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-with-reduced-precision-of-a-support-vector-machine-model-for-text-classification-2007.08657"/></url>
<url><loc>https://scifaro.com/en/abs/tudataset-a-collection-of-benchmark-datasets-for-learning-with-graphs-2007.08663</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tudataset-a-collection-of-benchmark-datasets-for-learning-with-graphs-2007.08663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tudataset-a-collection-of-benchmark-datasets-for-learning-with-graphs-2007.08663"/></url>
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<url><loc>https://scifaro.com/en/abs/leveraging-the-self-transition-probability-of-ordinal-pattern-transition-graph-for-transportation-mode-classification-2007.08687</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-the-self-transition-probability-of-ordinal-pattern-transition-graph-for-transportation-mode-classification-2007.08687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-the-self-transition-probability-of-ordinal-pattern-transition-graph-for-transportation-mode-classification-2007.08687"/></url>
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<url><loc>https://scifaro.com/en/abs/discovering-reinforcement-learning-algorithms-2007.08794</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-reinforcement-learning-algorithms-2007.08794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-reinforcement-learning-algorithms-2007.08794"/></url>
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<url><loc>https://scifaro.com/en/abs/privacy-preserving-distributed-learning-in-the-analog-domain-2007.08803</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-distributed-learning-in-the-analog-domain-2007.08803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-distributed-learning-in-the-analog-domain-2007.08803"/></url>
<url><loc>https://scifaro.com/en/abs/a-h-olderian-backtracking-method-for-min-max-and-min-min-problems-2007.08810</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-h-olderian-backtracking-method-for-min-max-and-min-min-problems-2007.08810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-h-olderian-backtracking-method-for-min-max-and-min-min-problems-2007.08810"/></url>
<url><loc>https://scifaro.com/en/abs/latent-instrumental-variables-as-priors-in-causal-inference-based-on-independence-of-cause-and-mechanism-2007.08812</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-instrumental-variables-as-priors-in-causal-inference-based-on-independence-of-cause-and-mechanism-2007.08812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-instrumental-variables-as-priors-in-causal-inference-based-on-independence-of-cause-and-mechanism-2007.08812"/></url>
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<url><loc>https://scifaro.com/en/abs/distribution-aligning-refinery-of-pseudo-label-for-imbalanced-semi-supervised-learning-2007.08844</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-aligning-refinery-of-pseudo-label-for-imbalanced-semi-supervised-learning-2007.08844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-aligning-refinery-of-pseudo-label-for-imbalanced-semi-supervised-learning-2007.08844"/></url>
<url><loc>https://scifaro.com/en/abs/covidcare-transferring-knowledge-from-existing-emr-to-emerging-epidemic-for-interpretable-prognosis-2007.08848</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covidcare-transferring-knowledge-from-existing-emr-to-emerging-epidemic-for-interpretable-prognosis-2007.08848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covidcare-transferring-knowledge-from-existing-emr-to-emerging-epidemic-for-interpretable-prognosis-2007.08848"/></url>
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<url><loc>https://scifaro.com/en/abs/prioritized-multi-criteria-federated-learning-2007.08893</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prioritized-multi-criteria-federated-learning-2007.08893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prioritized-multi-criteria-federated-learning-2007.08893"/></url>
<url><loc>https://scifaro.com/en/abs/attraction-repulsion-spectrum-in-neighbor-embeddings-2007.08902</loc><lastmod>2024-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attraction-repulsion-spectrum-in-neighbor-embeddings-2007.08902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attraction-repulsion-spectrum-in-neighbor-embeddings-2007.08902"/></url>
<url><loc>https://scifaro.com/en/abs/technologies-for-trustworthy-machine-learning-a-survey-in-a-socio-technical-context-2007.08911</loc><lastmod>2022-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/technologies-for-trustworthy-machine-learning-a-survey-in-a-socio-technical-context-2007.08911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/technologies-for-trustworthy-machine-learning-a-survey-in-a-socio-technical-context-2007.08911"/></url>
<url><loc>https://scifaro.com/en/abs/provably-consistent-partial-label-learning-2007.08929</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-consistent-partial-label-learning-2007.08929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-consistent-partial-label-learning-2007.08929"/></url>
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<url><loc>https://scifaro.com/en/abs/hyperparameter-selection-for-offline-reinforcement-learning-2007.09055</loc><lastmod>2020-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperparameter-selection-for-offline-reinforcement-learning-2007.09055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperparameter-selection-for-offline-reinforcement-learning-2007.09055"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-discriminative-generative-training-via-contrastive-learning-2007.09070</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-discriminative-generative-training-via-contrastive-learning-2007.09070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-discriminative-generative-training-via-contrastive-learning-2007.09070"/></url>
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<url><loc>https://scifaro.com/en/abs/sbi-a-toolkit-for-simulation-based-inference-2007.09114</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sbi-a-toolkit-for-simulation-based-inference-2007.09114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sbi-a-toolkit-for-simulation-based-inference-2007.09114"/></url>
<url><loc>https://scifaro.com/en/abs/can-we-estimate-truck-accident-risk-from-telemetric-data-using-machine-learning-2007.09167</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-we-estimate-truck-accident-risk-from-telemetric-data-using-machine-learning-2007.09167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-we-estimate-truck-accident-risk-from-telemetric-data-using-machine-learning-2007.09167"/></url>
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<url><loc>https://scifaro.com/en/abs/a-distributionally-robust-approach-to-fair-classification-2007.09530</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributionally-robust-approach-to-fair-classification-2007.09530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributionally-robust-approach-to-fair-classification-2007.09530"/></url>
<url><loc>https://scifaro.com/en/abs/same-day-delivery-with-fairness-2007.09541</loc><lastmod>2021-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/same-day-delivery-with-fairness-2007.09541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/same-day-delivery-with-fairness-2007.09541"/></url>
<url><loc>https://scifaro.com/en/abs/hypersolvers-toward-fast-continuous-depth-models-2007.09601</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypersolvers-toward-fast-continuous-depth-models-2007.09601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypersolvers-toward-fast-continuous-depth-models-2007.09601"/></url>
<url><loc>https://scifaro.com/en/abs/a-flexible-optimization-framework-for-regularized-matrix-tensor-factorizations-with-linear-couplings-2007.09605</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-flexible-optimization-framework-for-regularized-matrix-tensor-factorizations-with-linear-couplings-2007.09605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-flexible-optimization-framework-for-regularized-matrix-tensor-factorizations-with-linear-couplings-2007.09605"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-immunization-for-certifiable-robustness-on-graphs-2007.09647</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-immunization-for-certifiable-robustness-on-graphs-2007.09647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-immunization-for-certifiable-robustness-on-graphs-2007.09647"/></url>
<url><loc>https://scifaro.com/en/abs/generative-flows-with-matrix-exponential-2007.09651</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-flows-with-matrix-exponential-2007.09651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-flows-with-matrix-exponential-2007.09651"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-long-range-performance-of-gated-graph-neural-networks-2007.09668</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-long-range-performance-of-gated-graph-neural-networks-2007.09668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-long-range-performance-of-gated-graph-neural-networks-2007.09668"/></url>
<url><loc>https://scifaro.com/en/abs/an-unsupervised-learning-approach-to-solving-heat-equations-on-chip-based-on-auto-encoder-and-image-gradient-2007.09684</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-unsupervised-learning-approach-to-solving-heat-equations-on-chip-based-on-auto-encoder-and-image-gradient-2007.09684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-unsupervised-learning-approach-to-solving-heat-equations-on-chip-based-on-auto-encoder-and-image-gradient-2007.09684"/></url>
<url><loc>https://scifaro.com/en/abs/deep-anomaly-detection-for-time-series-data-in-industrial-iot-a-communication-efficient-on-device-federated-learning-approach-2007.09712</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-anomaly-detection-for-time-series-data-in-industrial-iot-a-communication-efficient-on-device-federated-learning-approach-2007.09712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-anomaly-detection-for-time-series-data-in-industrial-iot-a-communication-efficient-on-device-federated-learning-approach-2007.09712"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-of-multiple-source-adaptation-with-limited-target-labeled-data-2007.09762</loc><lastmod>2020-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-of-multiple-source-adaptation-with-limited-target-labeled-data-2007.09762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-of-multiple-source-adaptation-with-limited-target-labeled-data-2007.09762"/></url>
<url><loc>https://scifaro.com/en/abs/rt3d-achieving-real-time-execution-of-3d-convolutional-neural-networks-on-mobile-devices-2007.09835</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rt3d-achieving-real-time-execution-of-3d-convolutional-neural-networks-on-mobile-devices-2007.09835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rt3d-achieving-real-time-execution-of-3d-convolutional-neural-networks-on-mobile-devices-2007.09835"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-contrastive-predictive-coding-2007.09852</loc><lastmod>2020-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-contrastive-predictive-coding-2007.09852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-contrastive-predictive-coding-2007.09852"/></url>
<url><loc>https://scifaro.com/en/abs/wide-boosting-2007.09855</loc><lastmod>2022-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wide-boosting-2007.09855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wide-boosting-2007.09855"/></url>
<url><loc>https://scifaro.com/en/abs/attention-sequence-to-sequence-model-for-machine-remaining-useful-life-prediction-2007.09868</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-sequence-to-sequence-model-for-machine-remaining-useful-life-prediction-2007.09868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-sequence-to-sequence-model-for-machine-remaining-useful-life-prediction-2007.09868"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-representation-learning-with-coupled-autoencoders-2007.09880</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-representation-learning-with-coupled-autoencoders-2007.09880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-representation-learning-with-coupled-autoencoders-2007.09880"/></url>
<url><loc>https://scifaro.com/en/abs/deepco-offline-combinatorial-optimization-framework-utilizing-deep-learning-2007.09881</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepco-offline-combinatorial-optimization-framework-utilizing-deep-learning-2007.09881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepco-offline-combinatorial-optimization-framework-utilizing-deep-learning-2007.09881"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-positions-in-countsketch-2007.09890</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-positions-in-countsketch-2007.09890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-positions-in-countsketch-2007.09890"/></url>
<url><loc>https://scifaro.com/en/abs/hmq-hardware-friendly-mixed-precision-quantization-block-for-cnns-2007.09952</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hmq-hardware-friendly-mixed-precision-quantization-block-for-cnns-2007.09952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hmq-hardware-friendly-mixed-precision-quantization-block-for-cnns-2007.09952"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-control-by-reinforcement-learning-2007.09964</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-control-by-reinforcement-learning-2007.09964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-control-by-reinforcement-learning-2007.09964"/></url>
<url><loc>https://scifaro.com/en/abs/filtered-poisson-process-bandit-on-a-continuum-2007.09966</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/filtered-poisson-process-bandit-on-a-continuum-2007.09966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/filtered-poisson-process-bandit-on-a-continuum-2007.09966"/></url>
<url><loc>https://scifaro.com/en/abs/fairwashing-explanations-with-off-manifold-detergent-2007.09969</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairwashing-explanations-with-off-manifold-detergent-2007.09969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairwashing-explanations-with-off-manifold-detergent-2007.09969"/></url>
<url><loc>https://scifaro.com/en/abs/mklpy-a-python-based-framework-for-multiple-kernel-learning-2007.09982</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mklpy-a-python-based-framework-for-multiple-kernel-learning-2007.09982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mklpy-a-python-based-framework-for-multiple-kernel-learning-2007.09982"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-for-automatic-design-of-face-stimuli-2007.09989</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-for-automatic-design-of-face-stimuli-2007.09989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-for-automatic-design-of-face-stimuli-2007.09989"/></url>
<url><loc>https://scifaro.com/en/abs/lagrangian-duality-in-reinforcement-learning-2007.09998</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lagrangian-duality-in-reinforcement-learning-2007.09998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lagrangian-duality-in-reinforcement-learning-2007.09998"/></url>
<url><loc>https://scifaro.com/en/abs/electre-tree-a-machine-learning-approach-to-infer-electre-tri-b-parameters-2007.10047</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/electre-tree-a-machine-learning-approach-to-infer-electre-tri-b-parameters-2007.10047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/electre-tree-a-machine-learning-approach-to-infer-electre-tri-b-parameters-2007.10047"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-anomaly-detection-for-discrete-sequence-healthcare-data-2007.10098</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-anomaly-detection-for-discrete-sequence-healthcare-data-2007.10098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-anomaly-detection-for-discrete-sequence-healthcare-data-2007.10098"/></url>
<url><loc>https://scifaro.com/en/abs/early-stopping-in-deep-networks-double-descent-and-how-to-eliminate-it-2007.10099</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-stopping-in-deep-networks-double-descent-and-how-to-eliminate-it-2007.10099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-stopping-in-deep-networks-double-descent-and-how-to-eliminate-it-2007.10099"/></url>
<url><loc>https://scifaro.com/en/abs/thriftynets-convolutional-neural-networks-with-tiny-parameter-budget-2007.10106</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thriftynets-convolutional-neural-networks-with-tiny-parameter-budget-2007.10106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thriftynets-convolutional-neural-networks-with-tiny-parameter-budget-2007.10106"/></url>
<url><loc>https://scifaro.com/en/abs/diffrnn-differential-verification-of-recurrent-neural-networks-2007.10135</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffrnn-differential-verification-of-recurrent-neural-networks-2007.10135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffrnn-differential-verification-of-recurrent-neural-networks-2007.10135"/></url>
<url><loc>https://scifaro.com/en/abs/contextualizing-enhances-gradient-based-meta-learning-2007.10143</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextualizing-enhances-gradient-based-meta-learning-2007.10143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextualizing-enhances-gradient-based-meta-learning-2007.10143"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-source-separation-with-slow-flows-2007.10182</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-source-separation-with-slow-flows-2007.10182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-source-separation-with-slow-flows-2007.10182"/></url>
<url><loc>https://scifaro.com/en/abs/a-comprehensive-evaluation-of-multi-task-learning-and-multi-task-pre-training-on-ehr-time-series-data-2007.10185</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comprehensive-evaluation-of-multi-task-learning-and-multi-task-pre-training-on-ehr-time-series-data-2007.10185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comprehensive-evaluation-of-multi-task-learning-and-multi-task-pre-training-on-ehr-time-series-data-2007.10185"/></url>
<url><loc>https://scifaro.com/en/abs/solving-the-functional-eigen-problem-using-neural-networks-2007.10205</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-the-functional-eigen-problem-using-neural-networks-2007.10205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-the-functional-eigen-problem-using-neural-networks-2007.10205"/></url>
<url><loc>https://scifaro.com/en/abs/regret-analysis-of-a-markov-policy-gradient-algorithm-for-multi-arm-bandits-2007.10229</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-analysis-of-a-markov-policy-gradient-algorithm-for-multi-arm-bandits-2007.10229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-analysis-of-a-markov-policy-gradient-algorithm-for-multi-arm-bandits-2007.10229"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-data-to-speed-up-sorted-table-search-procedures-methodology-and-practical-guidelines-2007.10237</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-data-to-speed-up-sorted-table-search-procedures-methodology-and-practical-guidelines-2007.10237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-data-to-speed-up-sorted-table-search-procedures-methodology-and-practical-guidelines-2007.10237"/></url>
<url><loc>https://scifaro.com/en/abs/xmixup-efficient-transfer-learning-with-auxiliary-samples-by-cross-domain-mixup-2007.10252</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xmixup-efficient-transfer-learning-with-auxiliary-samples-by-cross-domain-mixup-2007.10252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xmixup-efficient-transfer-learning-with-auxiliary-samples-by-cross-domain-mixup-2007.10252"/></url>
<url><loc>https://scifaro.com/en/abs/vae-lime-deep-generative-model-based-approach-for-local-data-driven-model-interpretability-applied-to-the-ironmaking-industry-2007.10256</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vae-lime-deep-generative-model-based-approach-for-local-data-driven-model-interpretability-applied-to-the-ironmaking-industry-2007.10256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vae-lime-deep-generative-model-based-approach-for-local-data-driven-model-interpretability-applied-to-the-ironmaking-industry-2007.10256"/></url>
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<url><loc>https://scifaro.com/en/abs/complex-skill-acquisition-through-simple-skill-imitation-learning-2007.10281</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complex-skill-acquisition-through-simple-skill-imitation-learning-2007.10281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complex-skill-acquisition-through-simple-skill-imitation-learning-2007.10281"/></url>
<url><loc>https://scifaro.com/en/abs/a-short-note-on-soft-max-and-policy-gradients-in-bandits-problems-2007.10297</loc><lastmod>2020-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-short-note-on-soft-max-and-policy-gradients-in-bandits-problems-2007.10297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-short-note-on-soft-max-and-policy-gradients-in-bandits-problems-2007.10297"/></url>
<url><loc>https://scifaro.com/en/abs/shearer-highly-efficient-hyperdimensional-computing-by-software-hardware-enabled-multifold-approximation-2007.10330</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shearer-highly-efficient-hyperdimensional-computing-by-software-hardware-enabled-multifold-approximation-2007.10330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shearer-highly-efficient-hyperdimensional-computing-by-software-hardware-enabled-multifold-approximation-2007.10330"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-deep-graph-generative-models-for-drug-discovery-2007.10333</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-deep-graph-generative-models-for-drug-discovery-2007.10333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-deep-graph-generative-models-for-drug-discovery-2007.10333"/></url>
<url><loc>https://scifaro.com/en/abs/translation-between-waves-wave2wave-2007.10394</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/translation-between-waves-wave2wave-2007.10394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/translation-between-waves-wave2wave-2007.10394"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-automatic-differentiation-2007.10412</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-automatic-differentiation-2007.10412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-automatic-differentiation-2007.10412"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-few-shot-classification-with-one-vs-each-p-olya-gamma-augmented-gaussian-processes-2007.10417</loc><lastmod>2021-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-few-shot-classification-with-one-vs-each-p-olya-gamma-augmented-gaussian-processes-2007.10417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-few-shot-classification-with-one-vs-each-p-olya-gamma-augmented-gaussian-processes-2007.10417"/></url>
<url><loc>https://scifaro.com/en/abs/panrep-graph-neural-networks-for-extracting-universal-node-embeddings-in-heterogeneous-graphs-2007.10445</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/panrep-graph-neural-networks-for-extracting-universal-node-embeddings-in-heterogeneous-graphs-2007.10445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/panrep-graph-neural-networks-for-extracting-universal-node-embeddings-in-heterogeneous-graphs-2007.10445"/></url>
<url><loc>https://scifaro.com/en/abs/sinkhorn-barycenter-via-functional-gradient-descent-2007.10449</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sinkhorn-barycenter-via-functional-gradient-descent-2007.10449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sinkhorn-barycenter-via-functional-gradient-descent-2007.10449"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-joint-pruning-and-quantization-for-hardware-efficiency-2007.10463</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-joint-pruning-and-quantization-for-hardware-efficiency-2007.10463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-joint-pruning-and-quantization-for-hardware-efficiency-2007.10463"/></url>
<url><loc>https://scifaro.com/en/abs/second-order-pooling-for-graph-neural-networks-2007.10467</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/second-order-pooling-for-graph-neural-networks-2007.10467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/second-order-pooling-for-graph-neural-networks-2007.10467"/></url>
<url><loc>https://scifaro.com/en/abs/the-effects-of-approximate-multiplication-on-convolutional-neural-networks-2007.10500</loc><lastmod>2021-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effects-of-approximate-multiplication-on-convolutional-neural-networks-2007.10500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effects-of-approximate-multiplication-on-convolutional-neural-networks-2007.10500"/></url>
<url><loc>https://scifaro.com/en/abs/deepnnk-explaining-deep-models-and-their-generalization-using-polytope-interpolation-2007.10505</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepnnk-explaining-deep-models-and-their-generalization-using-polytope-interpolation-2007.10505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepnnk-explaining-deep-models-and-their-generalization-using-polytope-interpolation-2007.10505"/></url>
<url><loc>https://scifaro.com/en/abs/navigating-the-trade-off-between-multi-task-learning-and-learning-to-multitask-in-deep-neural-networks-2007.10527</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/navigating-the-trade-off-between-multi-task-learning-and-learning-to-multitask-in-deep-neural-networks-2007.10527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/navigating-the-trade-off-between-multi-task-learning-and-learning-to-multitask-in-deep-neural-networks-2007.10527"/></url>
<url><loc>https://scifaro.com/en/abs/towards-ground-truth-explainability-on-tabular-data-2007.10532</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-ground-truth-explainability-on-tabular-data-2007.10532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-ground-truth-explainability-on-tabular-data-2007.10532"/></url>
<url><loc>https://scifaro.com/en/abs/how-does-data-augmentation-affect-privacy-in-machine-learning-2007.10567</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-does-data-augmentation-affect-privacy-in-machine-learning-2007.10567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-does-data-augmentation-affect-privacy-in-machine-learning-2007.10567"/></url>
<url><loc>https://scifaro.com/en/abs/towards-visual-distortion-in-black-box-attacks-2007.10593</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-visual-distortion-in-black-box-attacks-2007.10593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-visual-distortion-in-black-box-attacks-2007.10593"/></url>
<url><loc>https://scifaro.com/en/abs/incentives-for-federated-learning-a-hypothesis-elicitation-approach-2007.10596</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incentives-for-federated-learning-a-hypothesis-elicitation-approach-2007.10596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incentives-for-federated-learning-a-hypothesis-elicitation-approach-2007.10596"/></url>
<url><loc>https://scifaro.com/en/abs/word-representation-for-rhythms-2007.10610</loc><lastmod>2020-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/word-representation-for-rhythms-2007.10610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/word-representation-for-rhythms-2007.10610"/></url>
<url><loc>https://scifaro.com/en/abs/learning-structured-latent-factors-from-dependent-data-a-generative-model-framework-from-information-theoretic-perspective-2007.10623</loc><lastmod>2020-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-structured-latent-factors-from-dependent-data-a-generative-model-framework-from-information-theoretic-perspective-2007.10623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-structured-latent-factors-from-dependent-data-a-generative-model-framework-from-information-theoretic-perspective-2007.10623"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-associative-memory-network-with-memory-refreshing-loss-2007.10637</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-associative-memory-network-with-memory-refreshing-loss-2007.10637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-associative-memory-network-with-memory-refreshing-loss-2007.10637"/></url>
<url><loc>https://scifaro.com/en/abs/pattern-guided-integrated-gradients-2007.10685</loc><lastmod>2020-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pattern-guided-integrated-gradients-2007.10685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pattern-guided-integrated-gradients-2007.10685"/></url>
<url><loc>https://scifaro.com/en/abs/towards-multimodal-mir-predicting-individual-differences-from-music-induced-movement-2007.10695</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-multimodal-mir-predicting-individual-differences-from-music-induced-movement-2007.10695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-multimodal-mir-predicting-individual-differences-from-music-induced-movement-2007.10695"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-heterogeneous-coupling-learning-for-categorical-representation-2007.10720</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-heterogeneous-coupling-learning-for-categorical-representation-2007.10720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-heterogeneous-coupling-learning-for-categorical-representation-2007.10720"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-read-and-follow-music-in-complete-score-sheet-images-2007.10736</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-read-and-follow-music-in-complete-score-sheet-images-2007.10736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-read-and-follow-music-in-complete-score-sheet-images-2007.10736"/></url>
<url><loc>https://scifaro.com/en/abs/balanced-meta-softmax-for-long-tailed-visual-recognition-2007.10740</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balanced-meta-softmax-for-long-tailed-visual-recognition-2007.10740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balanced-meta-softmax-for-long-tailed-visual-recognition-2007.10740"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-consumer-preferences-for-movie-trailers-from-eeg-using-machine-learning-2007.10756</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-consumer-preferences-for-movie-trailers-from-eeg-using-machine-learning-2007.10756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-consumer-preferences-for-movie-trailers-from-eeg-using-machine-learning-2007.10756"/></url>
<url><loc>https://scifaro.com/en/abs/inverting-the-feature-visualization-process-for-feedforward-neural-networks-2007.10757</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverting-the-feature-visualization-process-for-feedforward-neural-networks-2007.10757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverting-the-feature-visualization-process-for-feedforward-neural-networks-2007.10757"/></url>
<url><loc>https://scifaro.com/en/abs/data-stream-clustering-a-review-2007.10781</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-stream-clustering-a-review-2007.10781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-stream-clustering-a-review-2007.10781"/></url>
<url><loc>https://scifaro.com/en/abs/occamnet-a-fast-neural-model-for-symbolic-regression-at-scale-2007.10784</loc><lastmod>2023-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/occamnet-a-fast-neural-model-for-symbolic-regression-at-scale-2007.10784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/occamnet-a-fast-neural-model-for-symbolic-regression-at-scale-2007.10784"/></url>
<url><loc>https://scifaro.com/en/abs/automated-detection-and-forecasting-of-covid-19-using-deep-learning-techniques-a-review-2007.10785</loc><lastmod>2024-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-detection-and-forecasting-of-covid-19-using-deep-learning-techniques-a-review-2007.10785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-detection-and-forecasting-of-covid-19-using-deep-learning-techniques-a-review-2007.10785"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-different-methods-for-time-sequence-prediction-in-autonomous-vehicles-2007.10786</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-different-methods-for-time-sequence-prediction-in-autonomous-vehicles-2007.10786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-different-methods-for-time-sequence-prediction-in-autonomous-vehicles-2007.10786"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-match-distributions-for-domain-adaptation-2007.10791</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-match-distributions-for-domain-adaptation-2007.10791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-match-distributions-for-domain-adaptation-2007.10791"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-online-cp-decomposition-2007.10798</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-online-cp-decomposition-2007.10798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-online-cp-decomposition-2007.10798"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-neighbourhood-component-analysis-sample-efficient-uncertainty-estimation-in-deep-learning-2007.10800</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-neighbourhood-component-analysis-sample-efficient-uncertainty-estimation-in-deep-learning-2007.10800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-neighbourhood-component-analysis-sample-efficient-uncertainty-estimation-in-deep-learning-2007.10800"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-meta-level-learning-in-the-context-of-multi-component-multi-level-evolving-prediction-systems-2007.10818</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-meta-level-learning-in-the-context-of-multi-component-multi-level-evolving-prediction-systems-2007.10818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-meta-level-learning-in-the-context-of-multi-component-multi-level-evolving-prediction-systems-2007.10818"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-polyhedral-neural-network-verification-on-gpus-2007.10868</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-polyhedral-neural-network-verification-on-gpus-2007.10868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-polyhedral-neural-network-verification-on-gpus-2007.10868"/></url>
<url><loc>https://scifaro.com/en/abs/deepnetqoe-self-adaptive-qoe-optimization-framework-of-deep-networks-2007.10878</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepnetqoe-self-adaptive-qoe-optimization-framework-of-deep-networks-2007.10878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepnetqoe-self-adaptive-qoe-optimization-framework-of-deep-networks-2007.10878"/></url>
<url><loc>https://scifaro.com/en/abs/robust-hierarchical-graph-classification-with-subgraph-attention-2007.10908</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-hierarchical-graph-classification-with-subgraph-attention-2007.10908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-hierarchical-graph-classification-with-subgraph-attention-2007.10908"/></url>
<url><loc>https://scifaro.com/en/abs/improving-compute-efficacy-frontiers-with-sliceout-2007.10909</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-compute-efficacy-frontiers-with-sliceout-2007.10909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-compute-efficacy-frontiers-with-sliceout-2007.10909"/></url>
<url><loc>https://scifaro.com/en/abs/what-is-important-about-the-no-free-lunch-theorems-2007.10928</loc><lastmod>2020-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-is-important-about-the-no-free-lunch-theorems-2007.10928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-is-important-about-the-no-free-lunch-theorems-2007.10928"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-traffic-control-with-deep-reinforcement-learning-towards-state-of-the-art-and-beyond-2007.10960</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-traffic-control-with-deep-reinforcement-learning-towards-state-of-the-art-and-beyond-2007.10960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-traffic-control-with-deep-reinforcement-learning-towards-state-of-the-art-and-beyond-2007.10960"/></url>
<url><loc>https://scifaro.com/en/abs/ibm-federated-learning-an-enterprise-framework-white-paper-v0-1-2007.10987</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ibm-federated-learning-an-enterprise-framework-white-paper-v0-1-2007.10987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ibm-federated-learning-an-enterprise-framework-white-paper-v0-1-2007.10987"/></url>
<url><loc>https://scifaro.com/en/abs/a-gradient-based-bilevel-optimization-approach-for-tuning-hyperparameters-in-machine-learning-2007.11022</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gradient-based-bilevel-optimization-approach-for-tuning-hyperparameters-in-machine-learning-2007.11022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gradient-based-bilevel-optimization-approach-for-tuning-hyperparameters-in-machine-learning-2007.11022"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-rademacher-complexity-of-linear-hypothesis-sets-2007.11045</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-rademacher-complexity-of-linear-hypothesis-sets-2007.11045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-rademacher-complexity-of-linear-hypothesis-sets-2007.11045"/></url>
<url><loc>https://scifaro.com/en/abs/emaq-expected-max-q-learning-operator-for-simple-yet-effective-offline-and-online-rl-2007.11091</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emaq-expected-max-q-learning-operator-for-simple-yet-effective-offline-and-online-rl-2007.11091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emaq-expected-max-q-learning-operator-for-simple-yet-effective-offline-and-online-rl-2007.11091"/></url>
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<url><loc>https://scifaro.com/en/abs/on-linear-convergence-of-policy-gradient-methods-for-finite-mdps-2007.11120</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-linear-convergence-of-policy-gradient-methods-for-finite-mdps-2007.11120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-linear-convergence-of-policy-gradient-methods-for-finite-mdps-2007.11120"/></url>
<url><loc>https://scifaro.com/en/abs/packit-a-virtual-environment-for-geometric-planning-2007.11121</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/packit-a-virtual-environment-for-geometric-planning-2007.11121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/packit-a-virtual-environment-for-geometric-planning-2007.11121"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-solutions-to-differential-equations-with-generative-adversarial-networks-2007.11133</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-solutions-to-differential-equations-with-generative-adversarial-networks-2007.11133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-solutions-to-differential-equations-with-generative-adversarial-networks-2007.11133"/></url>
<url><loc>https://scifaro.com/en/abs/time-aware-graph-embedding-a-temporal-smoothness-and-task-oriented-approach-2007.11164</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-aware-graph-embedding-a-temporal-smoothness-and-task-oriented-approach-2007.11164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-aware-graph-embedding-a-temporal-smoothness-and-task-oriented-approach-2007.11164"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-learning-of-contextual-embeddings-for-link-prediction-in-heterogeneous-networks-2007.11192</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-learning-of-contextual-embeddings-for-link-prediction-in-heterogeneous-networks-2007.11192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-learning-of-contextual-embeddings-for-link-prediction-in-heterogeneous-networks-2007.11192"/></url>
<url><loc>https://scifaro.com/en/abs/mathnet-haar-like-wavelet-multiresolution-analysis-for-graph-representation-and-learning-2007.11202</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mathnet-haar-like-wavelet-multiresolution-analysis-for-graph-representation-and-learning-2007.11202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mathnet-haar-like-wavelet-multiresolution-analysis-for-graph-representation-and-learning-2007.11202"/></url>
<url><loc>https://scifaro.com/en/abs/socrates-towards-a-unified-platform-for-neural-network-analysis-2007.11206</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/socrates-towards-a-unified-platform-for-neural-network-analysis-2007.11206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/socrates-towards-a-unified-platform-for-neural-network-analysis-2007.11206"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-reduces-information-and-improves-transferability-2007.11259</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-reduces-information-and-improves-transferability-2007.11259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-reduces-information-and-improves-transferability-2007.11259"/></url>
<url><loc>https://scifaro.com/en/abs/storage-fit-learning-with-feature-evolvable-streams-2007.11280</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/storage-fit-learning-with-feature-evolvable-streams-2007.11280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/storage-fit-learning-with-feature-evolvable-streams-2007.11280"/></url>
<url><loc>https://scifaro.com/en/abs/deal-deep-evidential-active-learning-for-image-classification-2007.11344</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deal-deep-evidential-active-learning-for-image-classification-2007.11344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deal-deep-evidential-active-learning-for-image-classification-2007.11344"/></url>
<url><loc>https://scifaro.com/en/abs/instanceflow-visualizing-the-evolution-of-classifier-confusion-on-the-instance-level-2007.11353</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instanceflow-visualizing-the-evolution-of-classifier-confusion-on-the-instance-level-2007.11353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instanceflow-visualizing-the-evolution-of-classifier-confusion-on-the-instance-level-2007.11353"/></url>
<url><loc>https://scifaro.com/en/abs/time-reversal-symmetric-ode-network-2007.11362</loc><lastmod>2021-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-reversal-symmetric-ode-network-2007.11362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-reversal-symmetric-ode-network-2007.11362"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-clustering-using-eigenspectrum-shape-based-nystrom-sampling-2007.11416</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-clustering-using-eigenspectrum-shape-based-nystrom-sampling-2007.11416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-clustering-using-eigenspectrum-shape-based-nystrom-sampling-2007.11416"/></url>
<url><loc>https://scifaro.com/en/abs/simplex-structured-matrix-factorization-sparsity-based-identifiability-and-provably-correct-algorithms-2007.11446</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simplex-structured-matrix-factorization-sparsity-based-identifiability-and-provably-correct-algorithms-2007.11446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simplex-structured-matrix-factorization-sparsity-based-identifiability-and-provably-correct-algorithms-2007.11446"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-learning-on-heterogeneous-attributed-entities-interacting-over-time-2007.11455</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-learning-on-heterogeneous-attributed-entities-interacting-over-time-2007.11455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-learning-on-heterogeneous-attributed-entities-interacting-over-time-2007.11455"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-routed-capsule-networks-2007.11465</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-routed-capsule-networks-2007.11465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-routed-capsule-networks-2007.11465"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-compression-of-invariant-manifolds-in-neural-nets-2007.11471</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-compression-of-invariant-manifolds-in-neural-nets-2007.11471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-compression-of-invariant-manifolds-in-neural-nets-2007.11471"/></url>
<url><loc>https://scifaro.com/en/abs/debiasing-concept-based-explanations-with-causal-analysis-2007.11500</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/debiasing-concept-based-explanations-with-causal-analysis-2007.11500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/debiasing-concept-based-explanations-with-causal-analysis-2007.11500"/></url>
<url><loc>https://scifaro.com/en/abs/improving-deep-learning-with-differential-privacy-using-gradient-encoding-and-denoising-2007.11524</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-deep-learning-with-differential-privacy-using-gradient-encoding-and-denoising-2007.11524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-deep-learning-with-differential-privacy-using-gradient-encoding-and-denoising-2007.11524"/></url>
<url><loc>https://scifaro.com/en/abs/complex-sequential-data-analysis-a-systematic-literature-review-of-existing-algorithms-2007.11572</loc><lastmod>2020-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complex-sequential-data-analysis-a-systematic-literature-review-of-existing-algorithms-2007.11572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complex-sequential-data-analysis-a-systematic-literature-review-of-existing-algorithms-2007.11572"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-temporal-evolution-of-covid-19-research-through-machine-learning-and-natural-language-processing-2007.11604</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-temporal-evolution-of-covid-19-research-through-machine-learning-and-natural-language-processing-2007.11604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-temporal-evolution-of-covid-19-research-through-machine-learning-and-natural-language-processing-2007.11604"/></url>
<url><loc>https://scifaro.com/en/abs/evolving-multi-label-classification-rules-by-exploiting-high-order-label-correlation-2007.11609</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolving-multi-label-classification-rules-by-exploiting-high-order-label-correlation-2007.11609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolving-multi-label-classification-rules-by-exploiting-high-order-label-correlation-2007.11609"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-optimization-of-dominant-set-clustering-with-frank-wolfe-algorithms-2007.11652</loc><lastmod>2022-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-optimization-of-dominant-set-clustering-with-frank-wolfe-algorithms-2007.11652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-optimization-of-dominant-set-clustering-with-frank-wolfe-algorithms-2007.11652"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-benefits-of-policy-gradient-methods-with-aggregated-states-2007.11684</loc><lastmod>2022-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-benefits-of-policy-gradient-methods-with-aggregated-states-2007.11684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-benefits-of-policy-gradient-methods-with-aggregated-states-2007.11684"/></url>
<url><loc>https://scifaro.com/en/abs/robust-machine-learning-via-privacy-rate-distortion-theory-2007.11693</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-machine-learning-via-privacy-rate-distortion-theory-2007.11693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-machine-learning-via-privacy-rate-distortion-theory-2007.11693"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-the-communication-privacy-accuracy-trilemma-2007.11707</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-the-communication-privacy-accuracy-trilemma-2007.11707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-the-communication-privacy-accuracy-trilemma-2007.11707"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-traveling-companions-using-autoencoders-2007.11735</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-traveling-companions-using-autoencoders-2007.11735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-traveling-companions-using-autoencoders-2007.11735"/></url>
<url><loc>https://scifaro.com/en/abs/joslim-joint-widths-and-weights-optimization-for-slimmable-neural-networks-2007.11752</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joslim-joint-widths-and-weights-optimization-for-slimmable-neural-networks-2007.11752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joslim-joint-widths-and-weights-optimization-for-slimmable-neural-networks-2007.11752"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-verification-for-adversarial-robustness-2007.11826</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-verification-for-adversarial-robustness-2007.11826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-verification-for-adversarial-robustness-2007.11826"/></url>
<url><loc>https://scifaro.com/en/abs/dbs-dynamic-batch-size-for-distributed-deep-neural-network-training-2007.11831</loc><lastmod>2022-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dbs-dynamic-batch-size-for-distributed-deep-neural-network-training-2007.11831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dbs-dynamic-batch-size-for-distributed-deep-neural-network-training-2007.11831"/></url>
<url><loc>https://scifaro.com/en/abs/pclean-bayesian-data-cleaning-at-scale-with-domain-specific-probabilistic-programming-2007.11838</loc><lastmod>2022-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pclean-bayesian-data-cleaning-at-scale-with-domain-specific-probabilistic-programming-2007.11838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pclean-bayesian-data-cleaning-at-scale-with-domain-specific-probabilistic-programming-2007.11838"/></url>
<url><loc>https://scifaro.com/en/abs/meteor-learning-memory-and-time-efficient-representations-from-multi-modal-data-streams-2007.11847</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meteor-learning-memory-and-time-efficient-representations-from-multi-modal-data-streams-2007.11847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meteor-learning-memory-and-time-efficient-representations-from-multi-modal-data-streams-2007.11847"/></url>
<url><loc>https://scifaro.com/en/abs/learning-infinite-horizon-average-reward-mdps-with-linear-function-approximation-2007.11849</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-infinite-horizon-average-reward-mdps-with-linear-function-approximation-2007.11849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-infinite-horizon-average-reward-mdps-with-linear-function-approximation-2007.11849"/></url>
<url><loc>https://scifaro.com/en/abs/multi-sample-online-learning-for-probabilistic-spiking-neural-networks-2007.11894</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-sample-online-learning-for-probabilistic-spiking-neural-networks-2007.11894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-sample-online-learning-for-probabilistic-spiking-neural-networks-2007.11894"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-evaluation-of-the-partition-function-of-rbms-with-annealed-importance-sampling-2007.11926</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-evaluation-of-the-partition-function-of-rbms-with-annealed-importance-sampling-2007.11926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-evaluation-of-the-partition-function-of-rbms-with-annealed-importance-sampling-2007.11926"/></url>
<url><loc>https://scifaro.com/en/abs/private-post-gan-boosting-2007.11934</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-post-gan-boosting-2007.11934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-post-gan-boosting-2007.11934"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-initialization-methods-for-large-scale-clustering-2007.11937</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-initialization-methods-for-large-scale-clustering-2007.11937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-initialization-methods-for-large-scale-clustering-2007.11937"/></url>
<url><loc>https://scifaro.com/en/abs/a-semismooth-newton-s-method-based-linearization-and-approximation-approach-for-kernel-support-vector-machines-2007.11954</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-semismooth-newton-s-method-based-linearization-and-approximation-approach-for-kernel-support-vector-machines-2007.11954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-semismooth-newton-s-method-based-linearization-and-approximation-approach-for-kernel-support-vector-machines-2007.11954"/></url>
<url><loc>https://scifaro.com/en/abs/online-boosting-with-bandit-feedback-2007.11975</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-boosting-with-bandit-feedback-2007.11975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-boosting-with-bandit-feedback-2007.11975"/></url>
<url><loc>https://scifaro.com/en/abs/shape-cd-change-point-detection-in-time-series-data-with-shapes-and-neurons-2007.11985</loc><lastmod>2020-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shape-cd-change-point-detection-in-time-series-data-with-shapes-and-neurons-2007.11985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shape-cd-change-point-detection-in-time-series-data-with-shapes-and-neurons-2007.11985"/></url>
<url><loc>https://scifaro.com/en/abs/ader-adaptively-distilled-exemplar-replay-towards-continual-learning-for-session-based-recommendation-2007.12000</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ader-adaptively-distilled-exemplar-replay-towards-continual-learning-for-session-based-recommendation-2007.12000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ader-adaptively-distilled-exemplar-replay-towards-continual-learning-for-session-based-recommendation-2007.12000"/></url>
<url><loc>https://scifaro.com/en/abs/grale-designing-networks-for-graph-learning-2007.12002</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grale-designing-networks-for-graph-learning-2007.12002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grale-designing-networks-for-graph-learning-2007.12002"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-visual-reasoning-with-meta-analogical-contrastive-learning-2007.12020</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-visual-reasoning-with-meta-analogical-contrastive-learning-2007.12020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-visual-reasoning-with-meta-analogical-contrastive-learning-2007.12020"/></url>
<url><loc>https://scifaro.com/en/abs/the-expressive-power-of-kth-order-invariant-graph-networks-2007.12035</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-expressive-power-of-kth-order-invariant-graph-networks-2007.12035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-expressive-power-of-kth-order-invariant-graph-networks-2007.12035"/></url>
<url><loc>https://scifaro.com/en/abs/hide-and-seek-privacy-challenge-2007.12087</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hide-and-seek-privacy-challenge-2007.12087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hide-and-seek-privacy-challenge-2007.12087"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-transport-using-gans-for-lineage-tracing-2007.12098</loc><lastmod>2022-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-transport-using-gans-for-lineage-tracing-2007.12098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-transport-using-gans-for-lineage-tracing-2007.12098"/></url>
<url><loc>https://scifaro.com/en/abs/deep-active-learning-by-model-interpretability-2007.12100</loc><lastmod>2020-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-active-learning-by-model-interpretability-2007.12100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-active-learning-by-model-interpretability-2007.12100"/></url>
<url><loc>https://scifaro.com/en/abs/learning-differentiable-programs-with-admissible-neural-heuristics-2007.12101</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-differentiable-programs-with-admissible-neural-heuristics-2007.12101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-differentiable-programs-with-admissible-neural-heuristics-2007.12101"/></url>
<url><loc>https://scifaro.com/en/abs/provably-robust-adversarial-examples-2007.12133</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-robust-adversarial-examples-2007.12133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-robust-adversarial-examples-2007.12133"/></url>
<url><loc>https://scifaro.com/en/abs/signal-enhancement-for-magnetic-navigation-challenge-problem-2007.12158</loc><lastmod>2023-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signal-enhancement-for-magnetic-navigation-challenge-problem-2007.12158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signal-enhancement-for-magnetic-navigation-challenge-problem-2007.12158"/></url>
<url><loc>https://scifaro.com/en/abs/clinical-recommender-system-predicting-medical-specialty-diagnostic-choices-with-neural-network-ensembles-2007.12161</loc><lastmod>2020-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clinical-recommender-system-predicting-medical-specialty-diagnostic-choices-with-neural-network-ensembles-2007.12161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clinical-recommender-system-predicting-medical-specialty-diagnostic-choices-with-neural-network-ensembles-2007.12161"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-the-imitation-gap-by-adaptive-insubordination-2007.12173</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-the-imitation-gap-by-adaptive-insubordination-2007.12173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-the-imitation-gap-by-adaptive-insubordination-2007.12173"/></url>
<url><loc>https://scifaro.com/en/abs/the-representation-theory-of-neural-networks-2007.12213</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-representation-theory-of-neural-networks-2007.12213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-representation-theory-of-neural-networks-2007.12213"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-residue-number-system-based-winograd-convolution-2007.12216</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-residue-number-system-based-winograd-convolution-2007.12216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-residue-number-system-based-winograd-convolution-2007.12216"/></url>
<url><loc>https://scifaro.com/en/abs/the-lottery-ticket-hypothesis-for-pre-trained-bert-networks-2007.12223</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-lottery-ticket-hypothesis-for-pre-trained-bert-networks-2007.12223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-lottery-ticket-hypothesis-for-pre-trained-bert-networks-2007.12223"/></url>
<url><loc>https://scifaro.com/en/abs/are-visual-explanations-useful-a-case-study-in-model-in-the-loop-prediction-2007.12248</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-visual-explanations-useful-a-case-study-in-model-in-the-loop-prediction-2007.12248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-visual-explanations-useful-a-case-study-in-model-in-the-loop-prediction-2007.12248"/></url>
<url><loc>https://scifaro.com/en/abs/mlj-a-julia-package-for-composable-machine-learning-2007.12285</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mlj-a-julia-package-for-composable-machine-learning-2007.12285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mlj-a-julia-package-for-composable-machine-learning-2007.12285"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-fast-stabilization-in-linear-dynamical-systems-2007.12291</loc><lastmod>2022-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-fast-stabilization-in-linear-dynamical-systems-2007.12291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-fast-stabilization-in-linear-dynamical-systems-2007.12291"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-metrics-for-behaviour-modeling-2007.12298</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-metrics-for-behaviour-modeling-2007.12298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-metrics-for-behaviour-modeling-2007.12298"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-robust-optimization-for-imitation-learning-2007.12315</loc><lastmod>2024-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-robust-optimization-for-imitation-learning-2007.12315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-robust-optimization-for-imitation-learning-2007.12315"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-multi-agent-decomposed-policy-gradients-2007.12322</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-multi-agent-decomposed-policy-gradients-2007.12322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-multi-agent-decomposed-policy-gradients-2007.12322"/></url>
<url><loc>https://scifaro.com/en/abs/context-aware-attentive-knowledge-tracing-2007.12324</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-aware-attentive-knowledge-tracing-2007.12324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-aware-attentive-knowledge-tracing-2007.12324"/></url>
<url><loc>https://scifaro.com/en/abs/cycles-in-causal-learning-2007.12335</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cycles-in-causal-learning-2007.12335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cycles-in-causal-learning-2007.12335"/></url>
<url><loc>https://scifaro.com/en/abs/t-bfa-targeted-bit-flip-adversarial-weight-attack-2007.12336</loc><lastmod>2021-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/t-bfa-targeted-bit-flip-adversarial-weight-attack-2007.12336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/t-bfa-targeted-bit-flip-adversarial-weight-attack-2007.12336"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-mixture-of-experts-with-category-hierarchy-soft-constraint-2007.12349</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-mixture-of-experts-with-category-hierarchy-soft-constraint-2007.12349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-mixture-of-experts-with-category-hierarchy-soft-constraint-2007.12349"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-reinforcement-learning-via-moment-matching-2007.12354</loc><lastmod>2020-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-reinforcement-learning-via-moment-matching-2007.12354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-reinforcement-learning-via-moment-matching-2007.12354"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-knowledge-distillation-for-black-box-hypothesis-transfer-learning-2007.12355</loc><lastmod>2020-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-knowledge-distillation-for-black-box-hypothesis-transfer-learning-2007.12355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-knowledge-distillation-for-black-box-hypothesis-transfer-learning-2007.12355"/></url>
<url><loc>https://scifaro.com/en/abs/dopant-network-processing-units-towards-efficient-neural-network-emulators-with-high-capacity-nanoelectronic-nodes-2007.12371</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dopant-network-processing-units-towards-efficient-neural-network-emulators-with-high-capacity-nanoelectronic-nodes-2007.12371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dopant-network-processing-units-towards-efficient-neural-network-emulators-with-high-capacity-nanoelectronic-nodes-2007.12371"/></url>
<url><loc>https://scifaro.com/en/abs/impact-of-medical-data-imprecision-on-learning-results-2007.12375</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impact-of-medical-data-imprecision-on-learning-results-2007.12375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impact-of-medical-data-imprecision-on-learning-results-2007.12375"/></url>
<url><loc>https://scifaro.com/en/abs/anticipating-the-long-term-effect-of-online-learning-in-control-2007.12377</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anticipating-the-long-term-effect-of-online-learning-in-control-2007.12377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anticipating-the-long-term-effect-of-online-learning-in-control-2007.12377"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-information-accelerates-learning-in-rl-2007.12401</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-information-accelerates-learning-in-rl-2007.12401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-information-accelerates-learning-in-rl-2007.12401"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-spatially-infinite-generative-models-2007.12411</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-spatially-infinite-generative-models-2007.12411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-spatially-infinite-generative-models-2007.12411"/></url>
<url><loc>https://scifaro.com/en/abs/what-and-where-learn-to-plug-adapters-via-nas-for-multi-domain-learning-2007.12415</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-and-where-learn-to-plug-adapters-via-nas-for-multi-domain-learning-2007.12415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-and-where-learn-to-plug-adapters-via-nas-for-multi-domain-learning-2007.12415"/></url>
<url><loc>https://scifaro.com/en/abs/transferred-discrepancy-quantifying-the-difference-between-representations-2007.12446</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferred-discrepancy-quantifying-the-difference-between-representations-2007.12446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferred-discrepancy-quantifying-the-difference-between-representations-2007.12446"/></url>
<url><loc>https://scifaro.com/en/abs/approximately-optimal-binning-for-the-piecewise-constant-approximation-of-the-normalized-unexplained-variance-nuv-dissimilarity-measure-2007.12463</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximately-optimal-binning-for-the-piecewise-constant-approximation-of-the-normalized-unexplained-variance-nuv-dissimilarity-measure-2007.12463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximately-optimal-binning-for-the-piecewise-constant-approximation-of-the-normalized-unexplained-variance-nuv-dissimilarity-measure-2007.12463"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-and-mapping-of-soil-organic-carbon-using-machine-learning-algorithms-in-northern-iran-2007.12475</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-and-mapping-of-soil-organic-carbon-using-machine-learning-algorithms-in-northern-iran-2007.12475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-and-mapping-of-soil-organic-carbon-using-machine-learning-algorithms-in-northern-iran-2007.12475"/></url>
<url><loc>https://scifaro.com/en/abs/adma-a-flexible-loss-function-for-neural-networks-2007.12499</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adma-a-flexible-loss-function-for-neural-networks-2007.12499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adma-a-flexible-loss-function-for-neural-networks-2007.12499"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-tree-search-as-regularized-policy-optimization-2007.12509</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-tree-search-as-regularized-policy-optimization-2007.12509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-tree-search-as-regularized-policy-optimization-2007.12509"/></url>
<url><loc>https://scifaro.com/en/abs/improved-slice-wise-tumour-detection-in-brain-mris-by-computing-dissimilarities-between-latent-representations-2007.12528</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-slice-wise-tumour-detection-in-brain-mris-by-computing-dissimilarities-between-latent-representations-2007.12528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-slice-wise-tumour-detection-in-brain-mris-by-computing-dissimilarities-between-latent-representations-2007.12528"/></url>
<url><loc>https://scifaro.com/en/abs/wind-speed-prediction-using-multidimensional-convolutional-neural-networks-2007.12567</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wind-speed-prediction-using-multidimensional-convolutional-neural-networks-2007.12567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wind-speed-prediction-using-multidimensional-convolutional-neural-networks-2007.12567"/></url>
<url><loc>https://scifaro.com/en/abs/the-foundations-of-cost-sensitive-causal-classification-2007.12582</loc><lastmod>2025-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-foundations-of-cost-sensitive-causal-classification-2007.12582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-foundations-of-cost-sensitive-causal-classification-2007.12582"/></url>
<url><loc>https://scifaro.com/en/abs/attention-mechanism-for-multivariate-time-series-recurrent-model-interpretability-applied-to-the-ironmaking-industry-2007.12617</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-mechanism-for-multivariate-time-series-recurrent-model-interpretability-applied-to-the-ironmaking-industry-2007.12617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-mechanism-for-multivariate-time-series-recurrent-model-interpretability-applied-to-the-ironmaking-industry-2007.12617"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-the-surrogate-gap-in-online-multiclass-classification-2007.12618</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-the-surrogate-gap-in-online-multiclass-classification-2007.12618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-the-surrogate-gap-in-online-multiclass-classification-2007.12618"/></url>
<url><loc>https://scifaro.com/en/abs/murtree-optimal-classification-trees-via-dynamic-programming-and-search-2007.12652</loc><lastmod>2022-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/murtree-optimal-classification-trees-via-dynamic-programming-and-search-2007.12652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/murtree-optimal-classification-trees-via-dynamic-programming-and-search-2007.12652"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-graph-clustering-with-distributed-sketches-2007.12669</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-graph-clustering-with-distributed-sketches-2007.12669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-graph-clustering-with-distributed-sketches-2007.12669"/></url>
<url><loc>https://scifaro.com/en/abs/clinician-in-the-loop-decision-making-reinforcement-learning-with-near-optimal-set-valued-policies-2007.12678</loc><lastmod>2020-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clinician-in-the-loop-decision-making-reinforcement-learning-with-near-optimal-set-valued-policies-2007.12678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clinician-in-the-loop-decision-making-reinforcement-learning-with-near-optimal-set-valued-policies-2007.12678"/></url>
<url><loc>https://scifaro.com/en/abs/online-spatio-temporal-learning-in-deep-neural-networks-2007.12723</loc><lastmod>2020-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-spatio-temporal-learning-in-deep-neural-networks-2007.12723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-spatio-temporal-learning-in-deep-neural-networks-2007.12723"/></url>
<url><loc>https://scifaro.com/en/abs/a-canonical-architecture-for-predictive-analytics-on-longitudinal-patient-records-2007.12780</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-canonical-architecture-for-predictive-analytics-on-longitudinal-patient-records-2007.12780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-canonical-architecture-for-predictive-analytics-on-longitudinal-patient-records-2007.12780"/></url>
<url><loc>https://scifaro.com/en/abs/linear-discriminant-initialization-for-feed-forward-neural-networks-2007.12782</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-discriminant-initialization-for-feed-forward-neural-networks-2007.12782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-discriminant-initialization-for-feed-forward-neural-networks-2007.12782"/></url>
<url><loc>https://scifaro.com/en/abs/genome-sequence-classification-for-animal-diagnostics-with-graph-representations-and-deep-neural-networks-2007.12791</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/genome-sequence-classification-for-animal-diagnostics-with-graph-representations-and-deep-neural-networks-2007.12791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/genome-sequence-classification-for-animal-diagnostics-with-graph-representations-and-deep-neural-networks-2007.12791"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-models-that-solve-pdes-distributed-computing-for-training-large-data-free-models-2007.12792</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-models-that-solve-pdes-distributed-computing-for-training-large-data-free-models-2007.12792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-models-that-solve-pdes-distributed-computing-for-training-large-data-free-models-2007.12792"/></url>
<url><loc>https://scifaro.com/en/abs/developing-personalized-models-of-blood-pressure-estimation-from-wearable-sensors-data-using-minimally-trained-domain-adversarial-neural-networks-2007.12802</loc><lastmod>2020-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/developing-personalized-models-of-blood-pressure-estimation-from-wearable-sensors-data-using-minimally-trained-domain-adversarial-neural-networks-2007.12802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/developing-personalized-models-of-blood-pressure-estimation-from-wearable-sensors-data-using-minimally-trained-domain-adversarial-neural-networks-2007.12802"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-protein-function-prediction-with-tail-gnns-2007.12804</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-protein-function-prediction-with-tail-gnns-2007.12804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-protein-function-prediction-with-tail-gnns-2007.12804"/></url>
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<url><loc>https://scifaro.com/en/abs/multi-armed-bandits-for-minesweeper-profiting-from-exploration-exploitation-synergy-2007.12824</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-armed-bandits-for-minesweeper-profiting-from-exploration-exploitation-synergy-2007.12824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-armed-bandits-for-minesweeper-profiting-from-exploration-exploitation-synergy-2007.12824"/></url>
<url><loc>https://scifaro.com/en/abs/joint-featurewise-weighting-and-lobal-structure-learning-for-multi-view-subspace-clustering-2007.12829</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-featurewise-weighting-and-lobal-structure-learning-for-multi-view-subspace-clustering-2007.12829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-featurewise-weighting-and-lobal-structure-learning-for-multi-view-subspace-clustering-2007.12829"/></url>
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<url><loc>https://scifaro.com/en/abs/modal-uncertainty-estimation-via-discrete-latent-representation-2007.12858</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modal-uncertainty-estimation-via-discrete-latent-representation-2007.12858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modal-uncertainty-estimation-via-discrete-latent-representation-2007.12858"/></url>
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<url><loc>https://scifaro.com/en/abs/a-partially-observable-mdp-approach-for-sequential-testing-for-infectious-diseases-such-as-covid-19-2007.13023</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-partially-observable-mdp-approach-for-sequential-testing-for-infectious-diseases-such-as-covid-19-2007.13023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-partially-observable-mdp-approach-for-sequential-testing-for-infectious-diseases-such-as-covid-19-2007.13023"/></url>
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<url><loc>https://scifaro.com/en/abs/self-supervised-encoder-for-fault-prediction-in-electrochemical-cells-2007.13492</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-encoder-for-fault-prediction-in-electrochemical-cells-2007.13492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-encoder-for-fault-prediction-in-electrochemical-cells-2007.13492"/></url>
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<url><loc>https://scifaro.com/en/abs/add-a-sidenet-to-your-mainnet-2007.13512</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/add-a-sidenet-to-your-mainnet-2007.13512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/add-a-sidenet-to-your-mainnet-2007.13512"/></url>
<url><loc>https://scifaro.com/en/abs/fedml-a-research-library-and-benchmark-for-federated-machine-learning-2007.13518</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedml-a-research-library-and-benchmark-for-federated-machine-learning-2007.13518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedml-a-research-library-and-benchmark-for-federated-machine-learning-2007.13518"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-relational-inference-in-multi-agent-trajectories-2007.13524</loc><lastmod>2020-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-relational-inference-in-multi-agent-trajectories-2007.13524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-relational-inference-in-multi-agent-trajectories-2007.13524"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-transaction-based-tax-evasion-activities-on-social-media-platforms-using-multi-modal-deep-neural-networks-2007.13525</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-transaction-based-tax-evasion-activities-on-social-media-platforms-using-multi-modal-deep-neural-networks-2007.13525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-transaction-based-tax-evasion-activities-on-social-media-platforms-using-multi-modal-deep-neural-networks-2007.13525"/></url>
<url><loc>https://scifaro.com/en/abs/learning-what-if-explanations-for-sequential-decision-making-2007.13531</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-what-if-explanations-for-sequential-decision-making-2007.13531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-what-if-explanations-for-sequential-decision-making-2007.13531"/></url>
<url><loc>https://scifaro.com/en/abs/second-order-pac-bayesian-bounds-for-the-weighted-majority-vote-2007.13532</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/second-order-pac-bayesian-bounds-for-the-weighted-majority-vote-2007.13532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/second-order-pac-bayesian-bounds-for-the-weighted-majority-vote-2007.13532"/></url>
<url><loc>https://scifaro.com/en/abs/coupling-learning-of-complex-interactions-2007.13534</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupling-learning-of-complex-interactions-2007.13534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupling-learning-of-complex-interactions-2007.13534"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-bootstrapping-for-uncertainty-estimation-in-off-policy-evaluation-2007.13609</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-bootstrapping-for-uncertainty-estimation-in-off-policy-evaluation-2007.13609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-bootstrapping-for-uncertainty-estimation-in-off-policy-evaluation-2007.13609"/></url>
<url><loc>https://scifaro.com/en/abs/oblique-predictive-clustering-trees-2007.13617</loc><lastmod>2020-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oblique-predictive-clustering-trees-2007.13617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oblique-predictive-clustering-trees-2007.13617"/></url>
<url><loc>https://scifaro.com/en/abs/towards-learning-convolutions-from-scratch-2007.13657</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-learning-convolutions-from-scratch-2007.13657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-learning-convolutions-from-scratch-2007.13657"/></url>
<url><loc>https://scifaro.com/en/abs/learning-discrete-distributions-user-vs-item-level-privacy-2007.13660</loc><lastmod>2021-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-discrete-distributions-user-vs-item-level-privacy-2007.13660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-discrete-distributions-user-vs-item-level-privacy-2007.13660"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-nonlinear-seismic-response-of-structural-braces-using-machine-learning-2007.13662</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-nonlinear-seismic-response-of-structural-braces-using-machine-learning-2007.13662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-nonlinear-seismic-response-of-structural-braces-using-machine-learning-2007.13662"/></url>
<url><loc>https://scifaro.com/en/abs/universality-of-gradient-descent-neural-network-training-2007.13664</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universality-of-gradient-descent-neural-network-training-2007.13664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universality-of-gradient-descent-neural-network-training-2007.13664"/></url>
<url><loc>https://scifaro.com/en/abs/semi-automatic-data-annotation-guided-by-feature-space-projection-2007.13689</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-automatic-data-annotation-guided-by-feature-space-projection-2007.13689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-automatic-data-annotation-guided-by-feature-space-projection-2007.13689"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-mutation-reinforcement-learning-for-scalable-control-2007.13690</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-mutation-reinforcement-learning-for-scalable-control-2007.13690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-mutation-reinforcement-learning-for-scalable-control-2007.13690"/></url>
<url><loc>https://scifaro.com/en/abs/maxdropout-deep-neural-network-regularization-based-on-maximum-output-values-2007.13723</loc><lastmod>2020-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maxdropout-deep-neural-network-regularization-based-on-maximum-output-values-2007.13723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maxdropout-deep-neural-network-regularization-based-on-maximum-output-values-2007.13723"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-gauss-manin-connections-2007.13786</loc><lastmod>2022-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-gauss-manin-connections-2007.13786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-gauss-manin-connections-2007.13786"/></url>
<url><loc>https://scifaro.com/en/abs/neural-temporal-point-processes-for-modelling-electronic-health-records-2007.13794</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-temporal-point-processes-for-modelling-electronic-health-records-2007.13794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-temporal-point-processes-for-modelling-electronic-health-records-2007.13794"/></url>
<url><loc>https://scifaro.com/en/abs/multi-level-local-sgd-for-heterogeneous-hierarchical-networks-2007.13819</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-level-local-sgd-for-heterogeneous-hierarchical-networks-2007.13819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-level-local-sgd-for-heterogeneous-hierarchical-networks-2007.13819"/></url>
<url><loc>https://scifaro.com/en/abs/cpas-the-uk-s-national-machine-learning-based-hospital-capacity-planning-system-for-covid-19-2007.13825</loc><lastmod>2020-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cpas-the-uk-s-national-machine-learning-based-hospital-capacity-planning-system-for-covid-19-2007.13825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cpas-the-uk-s-national-machine-learning-based-hospital-capacity-planning-system-for-covid-19-2007.13825"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-for-multi-dimensional-regression-application-to-luminescence-sensing-2007.13875</loc><lastmod>2020-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-for-multi-dimensional-regression-application-to-luminescence-sensing-2007.13875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-for-multi-dimensional-regression-application-to-luminescence-sensing-2007.13875"/></url>
<url><loc>https://scifaro.com/en/abs/closed-form-expressions-for-global-and-local-interpretation-of-tsetlin-machines-with-applications-to-explaining-high-dimensional-data-2007.13885</loc><lastmod>2020-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/closed-form-expressions-for-global-and-local-interpretation-of-tsetlin-machines-with-applications-to-explaining-high-dimensional-data-2007.13885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/closed-form-expressions-for-global-and-local-interpretation-of-tsetlin-machines-with-applications-to-explaining-high-dimensional-data-2007.13885"/></url>
<url><loc>https://scifaro.com/en/abs/openxdata-a-tool-for-multi-target-data-generation-and-missing-label-completion-2007.13889</loc><lastmod>2020-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/openxdata-a-tool-for-multi-target-data-generation-and-missing-label-completion-2007.13889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/openxdata-a-tool-for-multi-target-data-generation-and-missing-label-completion-2007.13889"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-evaluation-in-infinite-horizon-reinforcement-learning-with-latent-confounders-2007.13893</loc><lastmod>2020-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-evaluation-in-infinite-horizon-reinforcement-learning-with-latent-confounders-2007.13893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-evaluation-in-infinite-horizon-reinforcement-learning-with-latent-confounders-2007.13893"/></url>
<url><loc>https://scifaro.com/en/abs/la-maml-look-ahead-meta-learning-for-continual-learning-2007.13904</loc><lastmod>2020-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/la-maml-look-ahead-meta-learning-for-continual-learning-2007.13904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/la-maml-look-ahead-meta-learning-for-continual-learning-2007.13904"/></url>
<url><loc>https://scifaro.com/en/abs/online-neural-connectivity-estimation-with-ensemble-stimulation-2007.13911</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-neural-connectivity-estimation-with-ensemble-stimulation-2007.13911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-neural-connectivity-estimation-with-ensemble-stimulation-2007.13911"/></url>
<url><loc>https://scifaro.com/en/abs/on-deep-unsupervised-active-learning-2007.13959</loc><lastmod>2020-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-deep-unsupervised-active-learning-2007.13959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-deep-unsupervised-active-learning-2007.13959"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-losses-for-latent-covariate-mixtures-2007.13982</loc><lastmod>2022-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-losses-for-latent-covariate-mixtures-2007.13982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-losses-for-latent-covariate-mixtures-2007.13982"/></url>
<url><loc>https://scifaro.com/en/abs/derivation-of-information-theoretically-optimal-adversarial-attacks-with-applications-to-robust-machine-learning-2007.14042</loc><lastmod>2020-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/derivation-of-information-theoretically-optimal-adversarial-attacks-with-applications-to-robust-machine-learning-2007.14042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/derivation-of-information-theoretically-optimal-adversarial-attacks-with-applications-to-robust-machine-learning-2007.14042"/></url>
<url><loc>https://scifaro.com/en/abs/big-bird-transformers-for-longer-sequences-2007.14062</loc><lastmod>2021-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/big-bird-transformers-for-longer-sequences-2007.14062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/big-bird-transformers-for-longer-sequences-2007.14062"/></url>
<url><loc>https://scifaro.com/en/abs/unipoint-universally-approximating-point-processes-intensities-2007.14082</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unipoint-universally-approximating-point-processes-intensities-2007.14082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unipoint-universally-approximating-point-processes-intensities-2007.14082"/></url>
<url><loc>https://scifaro.com/en/abs/reachable-sets-of-classifiers-and-regression-models-non-robustness-analysis-and-robust-training-2007.14120</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reachable-sets-of-classifiers-and-regression-models-non-robustness-analysis-and-robust-training-2007.14120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reachable-sets-of-classifiers-and-regression-models-non-robustness-analysis-and-robust-training-2007.14120"/></url>
<url><loc>https://scifaro.com/en/abs/toward-reliable-models-for-authenticating-multimedia-content-detecting-resampling-artifacts-with-bayesian-neural-networks-2007.14132</loc><lastmod>2020-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-reliable-models-for-authenticating-multimedia-content-detecting-resampling-artifacts-with-bayesian-neural-networks-2007.14132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-reliable-models-for-authenticating-multimedia-content-detecting-resampling-artifacts-with-bayesian-neural-networks-2007.14132"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-optimization-algorithms-for-deep-learning-2007.14166</loc><lastmod>2020-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-optimization-algorithms-for-deep-learning-2007.14166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-optimization-algorithms-for-deep-learning-2007.14166"/></url>
<url><loc>https://scifaro.com/en/abs/pykeen-1-0-a-python-library-for-training-and-evaluating-knowledge-graph-embeddings-2007.14175</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pykeen-1-0-a-python-library-for-training-and-evaluating-knowledge-graph-embeddings-2007.14175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pykeen-1-0-a-python-library-for-training-and-evaluating-knowledge-graph-embeddings-2007.14175"/></url>
<url><loc>https://scifaro.com/en/abs/a-commentary-on-the-unsupervised-learning-of-disentangled-representations-2007.14184</loc><lastmod>2020-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-commentary-on-the-unsupervised-learning-of-disentangled-representations-2007.14184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-commentary-on-the-unsupervised-learning-of-disentangled-representations-2007.14184"/></url>
<url><loc>https://scifaro.com/en/abs/trajgail-generating-urban-vehicle-trajectories-using-generative-adversarial-imitation-learning-2007.14189</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trajgail-generating-urban-vehicle-trajectories-using-generative-adversarial-imitation-learning-2007.14189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trajgail-generating-urban-vehicle-trajectories-using-generative-adversarial-imitation-learning-2007.14189"/></url>
<url><loc>https://scifaro.com/en/abs/lifelong-incremental-reinforcement-learning-with-online-bayesian-inference-2007.14196</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifelong-incremental-reinforcement-learning-with-online-bayesian-inference-2007.14196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifelong-incremental-reinforcement-learning-with-online-bayesian-inference-2007.14196"/></url>
<url><loc>https://scifaro.com/en/abs/improving-robustness-on-seasonality-heavy-multivariate-time-series-anomaly-detection-2007.14254</loc><lastmod>2020-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-robustness-on-seasonality-heavy-multivariate-time-series-anomaly-detection-2007.14254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-robustness-on-seasonality-heavy-multivariate-time-series-anomaly-detection-2007.14254"/></url>
<url><loc>https://scifaro.com/en/abs/symmetric-positive-semi-definite-riemannian-geometry-with-application-to-domain-adaptation-2007.14272</loc><lastmod>2020-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetric-positive-semi-definite-riemannian-geometry-with-application-to-domain-adaptation-2007.14272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetric-positive-semi-definite-riemannian-geometry-with-application-to-domain-adaptation-2007.14272"/></url>
<url><loc>https://scifaro.com/en/abs/theory-of-deep-convolutional-neural-networks-ii-spherical-analysis-2007.14285</loc><lastmod>2020-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-of-deep-convolutional-neural-networks-ii-spherical-analysis-2007.14285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-of-deep-convolutional-neural-networks-ii-spherical-analysis-2007.14285"/></url>
<url><loc>https://scifaro.com/en/abs/deep-frequency-principle-towards-understanding-why-deeper-learning-is-faster-2007.14313</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-frequency-principle-towards-understanding-why-deeper-learning-is-faster-2007.14313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-frequency-principle-towards-understanding-why-deeper-learning-is-faster-2007.14313"/></url>
<url><loc>https://scifaro.com/en/abs/diagnosing-concept-drift-with-visual-analytics-2007.14372</loc><lastmod>2023-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diagnosing-concept-drift-with-visual-analytics-2007.14372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diagnosing-concept-drift-with-visual-analytics-2007.14372"/></url>
<url><loc>https://scifaro.com/en/abs/flower-a-friendly-federated-learning-research-framework-2007.14390</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flower-a-friendly-federated-learning-research-framework-2007.14390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flower-a-friendly-federated-learning-research-framework-2007.14390"/></url>
<url><loc>https://scifaro.com/en/abs/munchausen-reinforcement-learning-2007.14430</loc><lastmod>2020-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/munchausen-reinforcement-learning-2007.14430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/munchausen-reinforcement-learning-2007.14430"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-awareness-2007.14462</loc><lastmod>2023-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-awareness-2007.14462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-awareness-2007.14462"/></url>
<url><loc>https://scifaro.com/en/abs/group-knowledge-transfer-federated-learning-of-large-cnns-at-the-edge-2007.14513</loc><lastmod>2020-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-knowledge-transfer-federated-learning-of-large-cnns-at-the-edge-2007.14513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-knowledge-transfer-federated-learning-of-large-cnns-at-the-edge-2007.14513"/></url>
<url><loc>https://scifaro.com/en/abs/improving-recurrent-neural-network-responsiveness-to-acute-clinical-events-2007.14520</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-recurrent-neural-network-responsiveness-to-acute-clinical-events-2007.14520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-recurrent-neural-network-responsiveness-to-acute-clinical-events-2007.14520"/></url>
<url><loc>https://scifaro.com/en/abs/when-and-why-pinns-fail-to-train-a-neural-tangent-kernel-perspective-2007.14527</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-and-why-pinns-fail-to-train-a-neural-tangent-kernel-perspective-2007.14527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-and-why-pinns-fail-to-train-a-neural-tangent-kernel-perspective-2007.14527"/></url>
<url><loc>https://scifaro.com/en/abs/dreaming-model-based-reinforcement-learning-by-latent-imagination-without-reconstruction-2007.14535</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dreaming-model-based-reinforcement-learning-by-latent-imagination-without-reconstruction-2007.14535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dreaming-model-based-reinforcement-learning-by-latent-imagination-without-reconstruction-2007.14535"/></url>
<url><loc>https://scifaro.com/en/abs/truncated-linear-regression-in-high-dimensions-2007.14539</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truncated-linear-regression-in-high-dimensions-2007.14539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truncated-linear-regression-in-high-dimensions-2007.14539"/></url>
<url><loc>https://scifaro.com/en/abs/mlr-snet-transferable-lr-schedules-for-heterogeneous-tasks-2007.14546</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mlr-snet-transferable-lr-schedules-for-heterogeneous-tasks-2007.14546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mlr-snet-transferable-lr-schedules-for-heterogeneous-tasks-2007.14546"/></url>
<url><loc>https://scifaro.com/en/abs/fives-feature-interaction-via-edge-search-for-large-scale-tabular-data-2007.14573</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fives-feature-interaction-via-edge-search-for-large-scale-tabular-data-2007.14573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fives-feature-interaction-via-edge-search-for-large-scale-tabular-data-2007.14573"/></url>
<url><loc>https://scifaro.com/en/abs/a-regularized-deep-matrix-factorized-model-of-matrix-completion-for-image-restoration-2007.14581</loc><lastmod>2022-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-regularized-deep-matrix-factorized-model-of-matrix-completion-for-image-restoration-2007.14581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-regularized-deep-matrix-factorized-model-of-matrix-completion-for-image-restoration-2007.14581"/></url>
<url><loc>https://scifaro.com/en/abs/quantity-vs-quality-on-hyperparameter-optimization-for-deep-reinforcement-learning-2007.14604</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantity-vs-quality-on-hyperparameter-optimization-for-deep-reinforcement-learning-2007.14604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantity-vs-quality-on-hyperparameter-optimization-for-deep-reinforcement-learning-2007.14604"/></url>
<url><loc>https://scifaro.com/en/abs/clarinet-a-one-step-approach-towards-budget-friendly-unsupervised-domain-adaptation-2007.14612</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clarinet-a-one-step-approach-towards-budget-friendly-unsupervised-domain-adaptation-2007.14612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clarinet-a-one-step-approach-towards-budget-friendly-unsupervised-domain-adaptation-2007.14612"/></url>
<url><loc>https://scifaro.com/en/abs/approaches-to-fraud-detection-on-credit-card-transactions-using-artificial-intelligence-methods-2007.14622</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approaches-to-fraud-detection-on-credit-card-transactions-using-artificial-intelligence-methods-2007.14622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approaches-to-fraud-detection-on-credit-card-transactions-using-artificial-intelligence-methods-2007.14622"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-based-variance-reduction-for-reparameterization-gradients-2007.14634</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-based-variance-reduction-for-reparameterization-gradients-2007.14634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-based-variance-reduction-for-reparameterization-gradients-2007.14634"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-use-of-interpretable-machine-learning-for-the-management-of-data-quality-2007.14677</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-use-of-interpretable-machine-learning-for-the-management-of-data-quality-2007.14677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-use-of-interpretable-machine-learning-for-the-management-of-data-quality-2007.14677"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-methods-and-their-derivatives-concept-and-perspectives-for-the-earth-system-sciences-2007.14706</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-methods-and-their-derivatives-concept-and-perspectives-for-the-earth-system-sciences-2007.14706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-methods-and-their-derivatives-concept-and-perspectives-for-the-earth-system-sciences-2007.14706"/></url>
<url><loc>https://scifaro.com/en/abs/almost-exact-recovery-in-noisy-semi-supervised-learning-2007.14717</loc><lastmod>2025-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/almost-exact-recovery-in-noisy-semi-supervised-learning-2007.14717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/almost-exact-recovery-in-noisy-semi-supervised-learning-2007.14717"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-for-axis-aligned-decision-forests-through-input-perturbation-2007.14761</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-for-axis-aligned-decision-forests-through-input-perturbation-2007.14761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-for-axis-aligned-decision-forests-through-input-perturbation-2007.14761"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-optimizing-covid-19-testing-policy-using-a-multi-armed-bandit-approach-2007.14805</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-optimizing-covid-19-testing-policy-using-a-multi-armed-bandit-approach-2007.14805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-optimizing-covid-19-testing-policy-using-a-multi-armed-bandit-approach-2007.14805"/></url>
<url><loc>https://scifaro.com/en/abs/decoding-machine-learning-benchmarks-2007.14870</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoding-machine-learning-benchmarks-2007.14870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoding-machine-learning-benchmarks-2007.14870"/></url>
<url><loc>https://scifaro.com/en/abs/compressing-deep-neural-networks-via-layer-fusion-2007.14917</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressing-deep-neural-networks-via-layer-fusion-2007.14917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressing-deep-neural-networks-via-layer-fusion-2007.14917"/></url>
<url><loc>https://scifaro.com/en/abs/force-myography-benchmark-data-for-hand-gesture-recognition-and-transfer-learning-2007.14918</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/force-myography-benchmark-data-for-hand-gesture-recognition-and-transfer-learning-2007.14918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/force-myography-benchmark-data-for-hand-gesture-recognition-and-transfer-learning-2007.14918"/></url>
<url><loc>https://scifaro.com/en/abs/fibonacci-and-k-subsecting-recursive-feature-elimination-2007.14920</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fibonacci-and-k-subsecting-recursive-feature-elimination-2007.14920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fibonacci-and-k-subsecting-recursive-feature-elimination-2007.14920"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-for-machine-learning-cyber-defenses-using-log-data-2007.14983</loc><lastmod>2020-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-for-machine-learning-cyber-defenses-using-log-data-2007.14983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-for-machine-learning-cyber-defenses-using-log-data-2007.14983"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-defense-against-byzantine-poisoning-attacks-in-federated-learning-2007.15030</loc><lastmod>2022-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-defense-against-byzantine-poisoning-attacks-in-federated-learning-2007.15030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-defense-against-byzantine-poisoning-attacks-in-federated-learning-2007.15030"/></url>
<url><loc>https://scifaro.com/en/abs/dmelodies-a-music-dataset-for-disentanglement-learning-2007.15067</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dmelodies-a-music-dataset-for-disentanglement-learning-2007.15067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dmelodies-a-music-dataset-for-disentanglement-learning-2007.15067"/></url>
<url><loc>https://scifaro.com/en/abs/deriving-differential-target-propagation-from-iterating-approximate-inverses-2007.15139</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deriving-differential-target-propagation-from-iterating-approximate-inverses-2007.15139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deriving-differential-target-propagation-from-iterating-approximate-inverses-2007.15139"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-for-detecting-anomalous-inputs-to-dnn-classifiers-2007.15147</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-for-detecting-anomalous-inputs-to-dnn-classifiers-2007.15147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-for-detecting-anomalous-inputs-to-dnn-classifiers-2007.15147"/></url>
<url><loc>https://scifaro.com/en/abs/fast-structured-clinical-documentation-via-contextual-autocomplete-2007.15153</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-structured-clinical-documentation-via-contextual-autocomplete-2007.15153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-structured-clinical-documentation-via-contextual-autocomplete-2007.15153"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-hierarchical-time-series-using-structured-regularization-and-its-application-to-artificial-neural-networks-2007.15159</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-hierarchical-time-series-using-structured-regularization-and-its-application-to-artificial-neural-networks-2007.15159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-hierarchical-time-series-using-structured-regularization-and-its-application-to-artificial-neural-networks-2007.15159"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multi-view-spatiotemporal-virtual-graph-neural-network-for-significant-citywide-ride-hailing-demand-prediction-2007.15189</loc><lastmod>2020-09-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multi-view-spatiotemporal-virtual-graph-neural-network-for-significant-citywide-ride-hailing-demand-prediction-2007.15189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multi-view-spatiotemporal-virtual-graph-neural-network-for-significant-citywide-ride-hailing-demand-prediction-2007.15189"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-federated-learning-via-optimal-client-sampling-2007.15197</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-federated-learning-via-optimal-client-sampling-2007.15197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-federated-learning-via-optimal-client-sampling-2007.15197"/></url>
<url><loc>https://scifaro.com/en/abs/the-complexity-of-adversarially-robust-proper-learning-of-halfspaces-with-agnostic-noise-2007.15220</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-complexity-of-adversarially-robust-proper-learning-of-halfspaces-with-agnostic-noise-2007.15220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-complexity-of-adversarially-robust-proper-learning-of-halfspaces-with-agnostic-noise-2007.15220"/></url>
<url><loc>https://scifaro.com/en/abs/synergiclearning-neural-network-based-feature-extraction-for-highly-accurate-hyperdimensional-learning-2007.15222</loc><lastmod>2020-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synergiclearning-neural-network-based-feature-extraction-for-highly-accurate-hyperdimensional-learning-2007.15222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synergiclearning-neural-network-based-feature-extraction-for-highly-accurate-hyperdimensional-learning-2007.15222"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-distribution-generalization-via-partial-feature-decorrelation-2007.15241</loc><lastmod>2022-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-distribution-generalization-via-partial-feature-decorrelation-2007.15241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-distribution-generalization-via-partial-feature-decorrelation-2007.15241"/></url>
<url><loc>https://scifaro.com/en/abs/deeppeep-exploiting-design-ramifications-to-decipher-the-architecture-of-compact-dnns-2007.15248</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeppeep-exploiting-design-ramifications-to-decipher-the-architecture-of-compact-dnns-2007.15248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeppeep-exploiting-design-ramifications-to-decipher-the-architecture-of-compact-dnns-2007.15248"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-adversarial-sample-generation-based-on-differential-evolution-2007.15310</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-adversarial-sample-generation-based-on-differential-evolution-2007.15310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-adversarial-sample-generation-based-on-differential-evolution-2007.15310"/></url>
<url><loc>https://scifaro.com/en/abs/growing-efficient-deep-networks-by-structured-continuous-sparsification-2007.15353</loc><lastmod>2023-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/growing-efficient-deep-networks-by-structured-continuous-sparsification-2007.15353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/growing-efficient-deep-networks-by-structured-continuous-sparsification-2007.15353"/></url>
<url><loc>https://scifaro.com/en/abs/trade-offs-in-top-k-classification-accuracies-on-losses-for-deep-learning-2007.15359</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trade-offs-in-top-k-classification-accuracies-on-losses-for-deep-learning-2007.15359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trade-offs-in-top-k-classification-accuracies-on-losses-for-deep-learning-2007.15359"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-comparison-of-deep-neural-networks-via-output-sensitivity-2007.15378</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-comparison-of-deep-neural-networks-via-output-sensitivity-2007.15378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-comparison-of-deep-neural-networks-via-output-sensitivity-2007.15378"/></url>
<url><loc>https://scifaro.com/en/abs/resnet-after-all-neural-odes-and-their-numerical-solution-2007.15386</loc><lastmod>2023-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resnet-after-all-neural-odes-and-their-numerical-solution-2007.15386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resnet-after-all-neural-odes-and-their-numerical-solution-2007.15386"/></url>
<url><loc>https://scifaro.com/en/abs/improving-sample-efficiency-with-normalized-rbf-kernels-2007.15397</loc><lastmod>2020-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-sample-efficiency-with-normalized-rbf-kernels-2007.15397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-sample-efficiency-with-normalized-rbf-kernels-2007.15397"/></url>
<url><loc>https://scifaro.com/en/abs/regional-rainfall-prediction-using-support-vector-machine-classification-of-large-scale-precipitation-maps-2007.15404</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regional-rainfall-prediction-using-support-vector-machine-classification-of-large-scale-precipitation-maps-2007.15404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regional-rainfall-prediction-using-support-vector-machine-classification-of-large-scale-precipitation-maps-2007.15404"/></url>
<url><loc>https://scifaro.com/en/abs/evolving-context-aware-recommender-systems-with-users-in-mind-2007.15409</loc><lastmod>2022-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolving-context-aware-recommender-systems-with-users-in-mind-2007.15409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolving-context-aware-recommender-systems-with-users-in-mind-2007.15409"/></url>
<url><loc>https://scifaro.com/en/abs/momentum-q-learning-with-finite-sample-convergence-guarantee-2007.15418</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/momentum-q-learning-with-finite-sample-convergence-guarantee-2007.15418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/momentum-q-learning-with-finite-sample-convergence-guarantee-2007.15418"/></url>
<url><loc>https://scifaro.com/en/abs/membership-leakage-in-label-only-exposures-2007.15528</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/membership-leakage-in-label-only-exposures-2007.15528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/membership-leakage-in-label-only-exposures-2007.15528"/></url>
<url><loc>https://scifaro.com/en/abs/fc-gaga-fully-connected-gated-graph-architecture-for-spatio-temporal-traffic-forecasting-2007.15531</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fc-gaga-fully-connected-gated-graph-architecture-for-spatio-temporal-traffic-forecasting-2007.15531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fc-gaga-fully-connected-gated-graph-architecture-for-spatio-temporal-traffic-forecasting-2007.15531"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-at-scale-the-case-for-deep-distributional-time-series-models-2007.15541</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-at-scale-the-case-for-deep-distributional-time-series-models-2007.15541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-at-scale-the-case-for-deep-distributional-time-series-models-2007.15541"/></url>
<url><loc>https://scifaro.com/en/abs/pixl2r-guiding-reinforcement-learning-using-natural-language-by-mapping-pixels-to-rewards-2007.15543</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pixl2r-guiding-reinforcement-learning-using-natural-language-by-mapping-pixels-to-rewards-2007.15543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pixl2r-guiding-reinforcement-learning-using-natural-language-by-mapping-pixels-to-rewards-2007.15543"/></url>
<url><loc>https://scifaro.com/en/abs/bilevel-continual-learning-2007.15553</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bilevel-continual-learning-2007.15553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bilevel-continual-learning-2007.15553"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-mathcal-h-divergence-domain-adaptation-theory-with-jensen-shannon-divergence-2007.15567</loc><lastmod>2020-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-mathcal-h-divergence-domain-adaptation-theory-with-jensen-shannon-divergence-2007.15567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-mathcal-h-divergence-domain-adaptation-theory-with-jensen-shannon-divergence-2007.15567"/></url>
<url><loc>https://scifaro.com/en/abs/stopping-criterion-design-for-recursive-bayesian-classification-analysis-and-decision-geometry-2007.15568</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stopping-criterion-design-for-recursive-bayesian-classification-analysis-and-decision-geometry-2007.15568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stopping-criterion-design-for-recursive-bayesian-classification-analysis-and-decision-geometry-2007.15568"/></url>
<url><loc>https://scifaro.com/en/abs/data-efficient-hindsight-off-policy-option-learning-2007.15588</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-efficient-hindsight-off-policy-option-learning-2007.15588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-efficient-hindsight-off-policy-option-learning-2007.15588"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-enhancing-machine-learning-via-removal-of-unwanted-dependencies-2007.15710</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-enhancing-machine-learning-via-removal-of-unwanted-dependencies-2007.15710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-enhancing-machine-learning-via-removal-of-unwanted-dependencies-2007.15710"/></url>
<url><loc>https://scifaro.com/en/abs/on-hyperparameter-optimization-of-machine-learning-algorithms-theory-and-practice-2007.15745</loc><lastmod>2022-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-hyperparameter-optimization-of-machine-learning-algorithms-theory-and-practice-2007.15745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-hyperparameter-optimization-of-machine-learning-algorithms-theory-and-practice-2007.15745"/></url>
<url><loc>https://scifaro.com/en/abs/from-calibration-to-parameter-learning-harnessing-the-scaling-effects-of-big-data-in-geoscientific-modeling-2007.15751</loc><lastmod>2022-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-calibration-to-parameter-learning-harnessing-the-scaling-effects-of-big-data-in-geoscientific-modeling-2007.15751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-calibration-to-parameter-learning-harnessing-the-scaling-effects-of-big-data-in-geoscientific-modeling-2007.15751"/></url>
<url><loc>https://scifaro.com/en/abs/finite-versus-infinite-neural-networks-an-empirical-study-2007.15801</loc><lastmod>2020-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-versus-infinite-neural-networks-an-empirical-study-2007.15801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-versus-infinite-neural-networks-an-empirical-study-2007.15801"/></url>
<url><loc>https://scifaro.com/en/abs/practical-detection-of-trojan-neural-networks-data-limited-and-data-free-cases-2007.15802</loc><lastmod>2020-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-detection-of-trojan-neural-networks-data-limited-and-data-free-cases-2007.15802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-detection-of-trojan-neural-networks-data-limited-and-data-free-cases-2007.15802"/></url>
<url><loc>https://scifaro.com/en/abs/language-modelling-for-source-code-with-transformer-xl-2007.15813</loc><lastmod>2020-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/language-modelling-for-source-code-with-transformer-xl-2007.15813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/language-modelling-for-source-code-with-transformer-xl-2007.15813"/></url>
<url><loc>https://scifaro.com/en/abs/denoising-individual-bias-for-a-fairer-binary-submatrix-detection-2007.15816</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/denoising-individual-bias-for-a-fairer-binary-submatrix-detection-2007.15816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/denoising-individual-bias-for-a-fairer-binary-submatrix-detection-2007.15816"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-all-way-boolean-tensor-decomposition-2007.15821</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-all-way-boolean-tensor-decomposition-2007.15821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-all-way-boolean-tensor-decomposition-2007.15821"/></url>
<url><loc>https://scifaro.com/en/abs/team-we-need-more-powerful-adversarial-examples-for-dnns-2007.15836</loc><lastmod>2020-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/team-we-need-more-powerful-adversarial-examples-for-dnns-2007.15836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/team-we-need-more-powerful-adversarial-examples-for-dnns-2007.15836"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-concept-factorization-from-shallow-to-deep-representation-learning-2007.15840</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-concept-factorization-from-shallow-to-deep-representation-learning-2007.15840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-concept-factorization-from-shallow-to-deep-representation-learning-2007.15840"/></url>
<url><loc>https://scifaro.com/en/abs/a-functional-model-for-structure-learning-and-parameter-estimation-in-continuous-time-bayesian-network-an-application-in-identifying-patterns-of-multiple-chronic-conditions-2007.15847</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-functional-model-for-structure-learning-and-parameter-estimation-in-continuous-time-bayesian-network-an-application-in-identifying-patterns-of-multiple-chronic-conditions-2007.15847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-functional-model-for-structure-learning-and-parameter-estimation-in-continuous-time-bayesian-network-an-application-in-identifying-patterns-of-multiple-chronic-conditions-2007.15847"/></url>
<url><loc>https://scifaro.com/en/abs/learning-forward-reuse-distance-2007.15859</loc><lastmod>2020-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-forward-reuse-distance-2007.15859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-forward-reuse-distance-2007.15859"/></url>
<url><loc>https://scifaro.com/en/abs/the-kolmogorov-arnold-representation-theorem-revisited-2007.15884</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-kolmogorov-arnold-representation-theorem-revisited-2007.15884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-kolmogorov-arnold-representation-theorem-revisited-2007.15884"/></url>
<url><loc>https://scifaro.com/en/abs/towards-deep-robot-learning-with-optimizer-applicable-to-non-stationary-problems-2007.15890</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-deep-robot-learning-with-optimizer-applicable-to-non-stationary-problems-2007.15890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-deep-robot-learning-with-optimizer-applicable-to-non-stationary-problems-2007.15890"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-survey-of-data-augmentation-for-time-series-classification-with-neural-networks-2007.15951</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-survey-of-data-augmentation-for-time-series-classification-with-neural-networks-2007.15951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-survey-of-data-augmentation-for-time-series-classification-with-neural-networks-2007.15951"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-bigraph-neural-network-as-recommendation-systems-2007.16000</loc><lastmod>2020-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-bigraph-neural-network-as-recommendation-systems-2007.16000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-bigraph-neural-network-as-recommendation-systems-2007.16000"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-bandits-with-sampled-context-2007.16001</loc><lastmod>2020-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-bandits-with-sampled-context-2007.16001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-bandits-with-sampled-context-2007.16001"/></url>
<url><loc>https://scifaro.com/en/abs/graph-convolutional-networks-using-heat-kernel-for-semi-supervised-learning-2007.16002</loc><lastmod>2020-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-convolutional-networks-using-heat-kernel-for-semi-supervised-learning-2007.16002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-convolutional-networks-using-heat-kernel-for-semi-supervised-learning-2007.16002"/></url>
<url><loc>https://scifaro.com/en/abs/encoder-decoder-generative-adversarial-nets-for-suffix-generation-and-remaining-time-prediction-of-business-process-models-2007.16030</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encoder-decoder-generative-adversarial-nets-for-suffix-generation-and-remaining-time-prediction-of-business-process-models-2007.16030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encoder-decoder-generative-adversarial-nets-for-suffix-generation-and-remaining-time-prediction-of-business-process-models-2007.16030"/></url>
<url><loc>https://scifaro.com/en/abs/whole-milc-generalizing-learned-dynamics-across-tasks-datasets-and-populations-2007.16041</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/whole-milc-generalizing-learned-dynamics-across-tasks-datasets-and-populations-2007.16041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/whole-milc-generalizing-learned-dynamics-across-tasks-datasets-and-populations-2007.16041"/></url>
<url><loc>https://scifaro.com/en/abs/low-dimensional-state-representation-learning-with-reward-shaped-priors-2007.16044</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-dimensional-state-representation-learning-with-reward-shaped-priors-2007.16044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-dimensional-state-representation-learning-with-reward-shaped-priors-2007.16044"/></url>
<url><loc>https://scifaro.com/en/abs/moody-learners-explaining-competitive-behaviour-of-reinforcement-learning-agents-2007.16045</loc><lastmod>2020-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moody-learners-explaining-competitive-behaviour-of-reinforcement-learning-agents-2007.16045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moody-learners-explaining-competitive-behaviour-of-reinforcement-learning-agents-2007.16045"/></url>
<url><loc>https://scifaro.com/en/abs/node2coords-graph-representation-learning-with-wasserstein-barycenters-2007.16056</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node2coords-graph-representation-learning-with-wasserstein-barycenters-2007.16056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node2coords-graph-representation-learning-with-wasserstein-barycenters-2007.16056"/></url>
<url><loc>https://scifaro.com/en/abs/graph-signal-processing-for-machine-learning-a-review-and-new-perspectives-2007.16061</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-signal-processing-for-machine-learning-a-review-and-new-perspectives-2007.16061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-signal-processing-for-machine-learning-a-review-and-new-perspectives-2007.16061"/></url>
<url><loc>https://scifaro.com/en/abs/learning-based-computer-aided-prescription-model-for-parkinson-s-disease-a-data-driven-perspective-2007.16103</loc><lastmod>2020-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-based-computer-aided-prescription-model-for-parkinson-s-disease-a-data-driven-perspective-2007.16103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-based-computer-aided-prescription-model-for-parkinson-s-disease-a-data-driven-perspective-2007.16103"/></url>
<url><loc>https://scifaro.com/en/abs/hmcnas-neural-architecture-search-using-hidden-markov-chains-and-bayesian-optimization-2007.16149</loc><lastmod>2020-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hmcnas-neural-architecture-search-using-hidden-markov-chains-and-bayesian-optimization-2007.16149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hmcnas-neural-architecture-search-using-hidden-markov-chains-and-bayesian-optimization-2007.16149"/></url>
<url><loc>https://scifaro.com/en/abs/diet-deep-generative-audio-models-with-structured-lottery-2007.16170</loc><lastmod>2020-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diet-deep-generative-audio-models-with-structured-lottery-2007.16170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diet-deep-generative-audio-models-with-structured-lottery-2007.16170"/></url>
<url><loc>https://scifaro.com/en/abs/ultra-light-deep-mir-by-trimming-lottery-tickets-2007.16187</loc><lastmod>2020-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ultra-light-deep-mir-by-trimming-lottery-tickets-2007.16187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ultra-light-deep-mir-by-trimming-lottery-tickets-2007.16187"/></url>
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<url><loc>https://scifaro.com/en/abs/towards-class-oriented-poisoning-attacks-against-neural-networks-2008.00047</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-class-oriented-poisoning-attacks-against-neural-networks-2008.00047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-class-oriented-poisoning-attacks-against-neural-networks-2008.00047"/></url>
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<url><loc>https://scifaro.com/en/abs/optimizing-long-term-social-welfare-in-recommender-systems-a-constrained-matching-approach-2008.00104</loc><lastmod>2020-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-long-term-social-welfare-in-recommender-systems-a-constrained-matching-approach-2008.00104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-long-term-social-welfare-in-recommender-systems-a-constrained-matching-approach-2008.00104"/></url>
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<url><loc>https://scifaro.com/en/abs/multi-node-bert-pretraining-cost-efficient-approach-2008.00177</loc><lastmod>2020-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-node-bert-pretraining-cost-efficient-approach-2008.00177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-node-bert-pretraining-cost-efficient-approach-2008.00177"/></url>
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<url><loc>https://scifaro.com/en/abs/interpretable-rule-discovery-through-bilevel-optimization-of-split-rules-of-nonlinear-decision-trees-for-classification-problems-2008.00410</loc><lastmod>2020-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-rule-discovery-through-bilevel-optimization-of-split-rules-of-nonlinear-decision-trees-for-classification-problems-2008.00410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-rule-discovery-through-bilevel-optimization-of-split-rules-of-nonlinear-decision-trees-for-classification-problems-2008.00410"/></url>
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<url><loc>https://scifaro.com/en/abs/accuracy-and-fairness-trade-offs-in-machine-learning-a-stochastic-multi-objective-approach-2008.01132</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accuracy-and-fairness-trade-offs-in-machine-learning-a-stochastic-multi-objective-approach-2008.01132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accuracy-and-fairness-trade-offs-in-machine-learning-a-stochastic-multi-objective-approach-2008.01132"/></url>
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<url><loc>https://scifaro.com/en/abs/deep-learning-models-for-early-detection-and-prediction-of-the-spread-of-novel-coronavirus-covid-19-2008.01170</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-models-for-early-detection-and-prediction-of-the-spread-of-novel-coronavirus-covid-19-2008.01170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-models-for-early-detection-and-prediction-of-the-spread-of-novel-coronavirus-covid-19-2008.01170"/></url>
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<url><loc>https://scifaro.com/en/abs/incorrect-by-construction-fine-tuning-neural-networks-for-guaranteed-performance-on-finite-sets-of-examples-2008.01204</loc><lastmod>2020-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorrect-by-construction-fine-tuning-neural-networks-for-guaranteed-performance-on-finite-sets-of-examples-2008.01204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorrect-by-construction-fine-tuning-neural-networks-for-guaranteed-performance-on-finite-sets-of-examples-2008.01204"/></url>
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<url><loc>https://scifaro.com/en/abs/multiple-code-hashing-for-efficient-image-retrieval-2008.01503</loc><lastmod>2024-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-code-hashing-for-efficient-image-retrieval-2008.01503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-code-hashing-for-efficient-image-retrieval-2008.01503"/></url>
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<url><loc>https://scifaro.com/en/abs/trend-transferability-based-robust-ensemble-design-2008.01524</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trend-transferability-based-robust-ensemble-design-2008.01524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trend-transferability-based-robust-ensemble-design-2008.01524"/></url>
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<url><loc>https://scifaro.com/en/abs/annealing-genetic-gan-for-minority-oversampling-2008.01967</loc><lastmod>2020-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/annealing-genetic-gan-for-minority-oversampling-2008.01967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/annealing-genetic-gan-for-minority-oversampling-2008.01967"/></url>
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<url><loc>https://scifaro.com/en/abs/differentially-private-accelerated-optimization-algorithms-2008.01989</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-accelerated-optimization-algorithms-2008.01989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-accelerated-optimization-algorithms-2008.01989"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-ad-pruning-of-sponsored-search-with-reinforcement-learning-2008.02014</loc><lastmod>2020-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-ad-pruning-of-sponsored-search-with-reinforcement-learning-2008.02014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-ad-pruning-of-sponsored-search-with-reinforcement-learning-2008.02014"/></url>
<url><loc>https://scifaro.com/en/abs/learning-boost-by-exploiting-the-auxiliary-task-in-multi-task-domain-2008.02043</loc><lastmod>2020-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-boost-by-exploiting-the-auxiliary-task-in-multi-task-domain-2008.02043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-boost-by-exploiting-the-auxiliary-task-in-multi-task-domain-2008.02043"/></url>
<url><loc>https://scifaro.com/en/abs/follow-the-object-curriculum-learning-for-manipulation-tasks-with-imagined-goals-2008.02066</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/follow-the-object-curriculum-learning-for-manipulation-tasks-with-imagined-goals-2008.02066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/follow-the-object-curriculum-learning-for-manipulation-tasks-with-imagined-goals-2008.02066"/></url>
<url><loc>https://scifaro.com/en/abs/data-cleansing-with-contrastive-learning-for-vocal-note-event-annotations-2008.02069</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-cleansing-with-contrastive-learning-for-vocal-note-event-annotations-2008.02069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-cleansing-with-contrastive-learning-for-vocal-note-event-annotations-2008.02069"/></url>
<url><loc>https://scifaro.com/en/abs/attacking-and-defending-machine-learning-applications-of-public-cloud-2008.02076</loc><lastmod>2020-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attacking-and-defending-machine-learning-applications-of-public-cloud-2008.02076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attacking-and-defending-machine-learning-applications-of-public-cloud-2008.02076"/></url>
<url><loc>https://scifaro.com/en/abs/tpg-dnn-a-method-for-user-intent-prediction-based-on-total-probability-formula-and-gru-loss-with-multi-task-learning-2008.02122</loc><lastmod>2020-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tpg-dnn-a-method-for-user-intent-prediction-based-on-total-probability-formula-and-gru-loss-with-multi-task-learning-2008.02122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tpg-dnn-a-method-for-user-intent-prediction-based-on-total-probability-formula-and-gru-loss-with-multi-task-learning-2008.02122"/></url>
<url><loc>https://scifaro.com/en/abs/frmdn-flow-based-recurrent-mixture-density-network-2008.02144</loc><lastmod>2023-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frmdn-flow-based-recurrent-mixture-density-network-2008.02144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frmdn-flow-based-recurrent-mixture-density-network-2008.02144"/></url>
<url><loc>https://scifaro.com/en/abs/a-causal-based-framework-for-multimodal-multivariate-time-series-validation-enhanced-by-unsupervised-deep-learning-as-an-enabler-for-industry-4-0-2008.02171</loc><lastmod>2020-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-causal-based-framework-for-multimodal-multivariate-time-series-validation-enhanced-by-unsupervised-deep-learning-as-an-enabler-for-industry-4-0-2008.02171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-causal-based-framework-for-multimodal-multivariate-time-series-validation-enhanced-by-unsupervised-deep-learning-as-an-enabler-for-industry-4-0-2008.02171"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-in-nano-scale-biomedical-engineering-2008.02195</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-in-nano-scale-biomedical-engineering-2008.02195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-in-nano-scale-biomedical-engineering-2008.02195"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-based-projections-with-applications-to-inverse-problems-2008.02200</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-based-projections-with-applications-to-inverse-problems-2008.02200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-based-projections-with-applications-to-inverse-problems-2008.02200"/></url>
<url><loc>https://scifaro.com/en/abs/fuzzy-jaccard-index-a-robust-comparison-of-ordered-lists-2008.02216</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fuzzy-jaccard-index-a-robust-comparison-of-ordered-lists-2008.02216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fuzzy-jaccard-index-a-robust-comparison-of-ordered-lists-2008.02216"/></url>
<url><loc>https://scifaro.com/en/abs/meta-continual-learning-via-dynamic-programming-2008.02219</loc><lastmod>2020-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-continual-learning-via-dynamic-programming-2008.02219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-continual-learning-via-dynamic-programming-2008.02219"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-with-machine-learning-algorithms-towards-anomaly-detection-2008.02327</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-with-machine-learning-algorithms-towards-anomaly-detection-2008.02327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-with-machine-learning-algorithms-towards-anomaly-detection-2008.02327"/></url>
<url><loc>https://scifaro.com/en/abs/adiabatic-quantum-linear-regression-2008.02355</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adiabatic-quantum-linear-regression-2008.02355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adiabatic-quantum-linear-regression-2008.02355"/></url>
<url><loc>https://scifaro.com/en/abs/a-robot-that-counts-like-a-child-a-developmental-model-of-counting-and-pointing-2008.02366</loc><lastmod>2020-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robot-that-counts-like-a-child-a-developmental-model-of-counting-and-pointing-2008.02366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robot-that-counts-like-a-child-a-developmental-model-of-counting-and-pointing-2008.02366"/></url>
<url><loc>https://scifaro.com/en/abs/qubo-formulations-for-training-machine-learning-models-2008.02369</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qubo-formulations-for-training-machine-learning-models-2008.02369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qubo-formulations-for-training-machine-learning-models-2008.02369"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-in-depth-neural-networks-2008.02389</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-in-depth-neural-networks-2008.02389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-in-depth-neural-networks-2008.02389"/></url>
<url><loc>https://scifaro.com/en/abs/dana-dimension-adaptive-neural-architecture-for-multivariate-sensor-data-2008.02397</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dana-dimension-adaptive-neural-architecture-for-multivariate-sensor-data-2008.02397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dana-dimension-adaptive-neural-architecture-for-multivariate-sensor-data-2008.02397"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-variational-reinforcement-learning-for-complex-observations-2008.02430</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-variational-reinforcement-learning-for-complex-observations-2008.02430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-variational-reinforcement-learning-for-complex-observations-2008.02430"/></url>
<url><loc>https://scifaro.com/en/abs/functional-regularization-for-representation-learning-a-unified-theoretical-perspective-2008.02447</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-regularization-for-representation-learning-a-unified-theoretical-perspective-2008.02447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-regularization-for-representation-learning-a-unified-theoretical-perspective-2008.02447"/></url>
<url><loc>https://scifaro.com/en/abs/training-dnn-model-with-secret-key-for-model-protection-2008.02450</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-dnn-model-with-secret-key-for-model-protection-2008.02450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-dnn-model-with-secret-key-for-model-protection-2008.02450"/></url>
<url><loc>https://scifaro.com/en/abs/federated-transfer-learning-with-dynamic-gradient-aggregation-2008.02452</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-transfer-learning-with-dynamic-gradient-aggregation-2008.02452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-transfer-learning-with-dynamic-gradient-aggregation-2008.02452"/></url>
<url><loc>https://scifaro.com/en/abs/unravelling-the-architecture-of-membrane-proteins-with-conditional-random-fields-2008.02467</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unravelling-the-architecture-of-membrane-proteins-with-conditional-random-fields-2008.02467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unravelling-the-architecture-of-membrane-proteins-with-conditional-random-fields-2008.02467"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sampling-in-financial-statement-audits-using-vector-quantised-autoencoder-neural-networks-2008.02528</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sampling-in-financial-statement-audits-using-vector-quantised-autoencoder-neural-networks-2008.02528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sampling-in-financial-statement-audits-using-vector-quantised-autoencoder-neural-networks-2008.02528"/></url>
<url><loc>https://scifaro.com/en/abs/offline-meta-learning-of-exploration-2008.02598</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-meta-learning-of-exploration-2008.02598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-meta-learning-of-exploration-2008.02598"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-and-distributed-learning-over-wireless-networks-principles-and-applications-2008.02608</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-and-distributed-learning-over-wireless-networks-principles-and-applications-2008.02608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-and-distributed-learning-over-wireless-networks-principles-and-applications-2008.02608"/></url>
<url><loc>https://scifaro.com/en/abs/a-gentle-lecture-note-on-filtrations-in-reinforcement-learning-2008.02622</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gentle-lecture-note-on-filtrations-in-reinforcement-learning-2008.02622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gentle-lecture-note-on-filtrations-in-reinforcement-learning-2008.02622"/></url>
<url><loc>https://scifaro.com/en/abs/notes-on-the-behavior-of-mc-dropout-2008.02627</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/notes-on-the-behavior-of-mc-dropout-2008.02627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/notes-on-the-behavior-of-mc-dropout-2008.02627"/></url>
<url><loc>https://scifaro.com/en/abs/bloom-origami-assays-practical-group-testing-2008.02641</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bloom-origami-assays-practical-group-testing-2008.02641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bloom-origami-assays-practical-group-testing-2008.02641"/></url>
<url><loc>https://scifaro.com/en/abs/graph-wasserstein-correlation-analysis-for-movie-retrieval-2008.02648</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-wasserstein-correlation-analysis-for-movie-retrieval-2008.02648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-wasserstein-correlation-analysis-for-movie-retrieval-2008.02648"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-accuracy-of-global-forecasting-models-using-time-series-data-augmentation-2008.02663</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-accuracy-of-global-forecasting-models-using-time-series-data-augmentation-2008.02663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-accuracy-of-global-forecasting-models-using-time-series-data-augmentation-2008.02663"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-health-personalized-models-for-forecasting-of-alzheimer-disease-progression-2008.02667</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-health-personalized-models-for-forecasting-of-alzheimer-disease-progression-2008.02667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-health-personalized-models-for-forecasting-of-alzheimer-disease-progression-2008.02667"/></url>
<url><loc>https://scifaro.com/en/abs/mfnets-data-efficient-all-at-once-learning-of-multifidelity-surrogates-as-directed-networks-of-information-sources-2008.02672</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mfnets-data-efficient-all-at-once-learning-of-multifidelity-surrogates-as-directed-networks-of-information-sources-2008.02672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mfnets-data-efficient-all-at-once-learning-of-multifidelity-surrogates-as-directed-networks-of-information-sources-2008.02672"/></url>
<url><loc>https://scifaro.com/en/abs/exchangeable-neural-ode-for-set-modeling-2008.02676</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exchangeable-neural-ode-for-set-modeling-2008.02676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exchangeable-neural-ode-for-set-modeling-2008.02676"/></url>
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<url><loc>https://scifaro.com/en/abs/analysing-risk-of-coronary-heart-disease-through-discriminative-neural-networks-2008.02731</loc><lastmod>2020-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysing-risk-of-coronary-heart-disease-through-discriminative-neural-networks-2008.02731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysing-risk-of-coronary-heart-disease-through-discriminative-neural-networks-2008.02731"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-photovoltaic-power-production-using-a-deep-learning-sequence-to-sequence-model-with-attention-2008.02775</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-photovoltaic-power-production-using-a-deep-learning-sequence-to-sequence-model-with-attention-2008.02775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-photovoltaic-power-production-using-a-deep-learning-sequence-to-sequence-model-with-attention-2008.02775"/></url>
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<url><loc>https://scifaro.com/en/abs/learned-convex-regularizers-for-inverse-problems-2008.02839</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learned-convex-regularizers-for-inverse-problems-2008.02839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learned-convex-regularizers-for-inverse-problems-2008.02839"/></url>
<url><loc>https://scifaro.com/en/abs/assisted-perception-optimizing-observations-to-communicate-state-2008.02840</loc><lastmod>2020-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assisted-perception-optimizing-observations-to-communicate-state-2008.02840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assisted-perception-optimizing-observations-to-communicate-state-2008.02840"/></url>
<url><loc>https://scifaro.com/en/abs/fatigue-assessment-using-ecg-and-actigraphy-sensors-2008.02871</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fatigue-assessment-using-ecg-and-actigraphy-sensors-2008.02871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fatigue-assessment-using-ecg-and-actigraphy-sensors-2008.02871"/></url>
<url><loc>https://scifaro.com/en/abs/stronger-and-faster-wasserstein-adversarial-attacks-2008.02883</loc><lastmod>2020-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stronger-and-faster-wasserstein-adversarial-attacks-2008.02883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stronger-and-faster-wasserstein-adversarial-attacks-2008.02883"/></url>
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<url><loc>https://scifaro.com/en/abs/lie-pca-density-estimation-for-symmetric-manifolds-2008.04278</loc><lastmod>2020-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lie-pca-density-estimation-for-symmetric-manifolds-2008.04278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lie-pca-density-estimation-for-symmetric-manifolds-2008.04278"/></url>
<url><loc>https://scifaro.com/en/abs/grimgep-learning-progress-for-robust-goal-sampling-in-visual-deep-reinforcement-learning-2008.04388</loc><lastmod>2022-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grimgep-learning-progress-for-robust-goal-sampling-in-visual-deep-reinforcement-learning-2008.04388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grimgep-learning-progress-for-robust-goal-sampling-in-visual-deep-reinforcement-learning-2008.04388"/></url>
<url><loc>https://scifaro.com/en/abs/deepdrummer-generating-drum-loops-using-deep-learning-and-a-human-in-the-loop-2008.04391</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepdrummer-generating-drum-loops-using-deep-learning-and-a-human-in-the-loop-2008.04391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepdrummer-generating-drum-loops-using-deep-learning-and-a-human-in-the-loop-2008.04391"/></url>
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<url><loc>https://scifaro.com/en/abs/federated-learning-via-synthetic-data-2008.04489</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-via-synthetic-data-2008.04489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-via-synthetic-data-2008.04489"/></url>
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<url><loc>https://scifaro.com/en/abs/fednnnn-norm-normalized-neural-network-aggregation-for-fast-and-accurate-federated-learning-2008.04538</loc><lastmod>2020-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fednnnn-norm-normalized-neural-network-aggregation-for-fast-and-accurate-federated-learning-2008.04538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fednnnn-norm-normalized-neural-network-aggregation-for-fast-and-accurate-federated-learning-2008.04538"/></url>
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<url><loc>https://scifaro.com/en/abs/an-empirical-analysis-of-backward-compatibility-in-machine-learning-systems-2008.04572</loc><lastmod>2020-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-analysis-of-backward-compatibility-in-machine-learning-systems-2008.04572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-analysis-of-backward-compatibility-in-machine-learning-systems-2008.04572"/></url>
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<url><loc>https://scifaro.com/en/abs/byzantine-fault-tolerant-distributed-machine-learning-using-stochastic-gradient-descent-sgd-and-norm-based-comparative-gradient-elimination-cge-2008.04699</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/byzantine-fault-tolerant-distributed-machine-learning-using-stochastic-gradient-descent-sgd-and-norm-based-comparative-gradient-elimination-cge-2008.04699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/byzantine-fault-tolerant-distributed-machine-learning-using-stochastic-gradient-descent-sgd-and-norm-based-comparative-gradient-elimination-cge-2008.04699"/></url>
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<url><loc>https://scifaro.com/en/abs/content-based-music-similarity-with-triplet-networks-2008.04938</loc><lastmod>2022-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/content-based-music-similarity-with-triplet-networks-2008.04938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/content-based-music-similarity-with-triplet-networks-2008.04938"/></url>
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<url><loc>https://scifaro.com/en/abs/batch-value-function-approximation-with-only-realizability-2008.04990</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-value-function-approximation-with-only-realizability-2008.04990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-value-function-approximation-with-only-realizability-2008.04990"/></url>
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<url><loc>https://scifaro.com/en/abs/machine-learning-for-robust-identification-of-complex-nonlinear-dynamical-systems-applications-to-earth-systems-modeling-2008.05590</loc><lastmod>2020-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-robust-identification-of-complex-nonlinear-dynamical-systems-applications-to-earth-systems-modeling-2008.05590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-robust-identification-of-complex-nonlinear-dynamical-systems-applications-to-earth-systems-modeling-2008.05590"/></url>
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<url><loc>https://scifaro.com/en/abs/modeling-the-field-value-variations-and-field-interactions-simultaneously-for-fraud-detection-2008.05600</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-the-field-value-variations-and-field-interactions-simultaneously-for-fraud-detection-2008.05600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-the-field-value-variations-and-field-interactions-simultaneously-for-fraud-detection-2008.05600"/></url>
<url><loc>https://scifaro.com/en/abs/the-slow-deterioration-of-the-generalization-error-of-the-random-feature-model-2008.05621</loc><lastmod>2020-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-slow-deterioration-of-the-generalization-error-of-the-random-feature-model-2008.05621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-slow-deterioration-of-the-generalization-error-of-the-random-feature-model-2008.05621"/></url>
<url><loc>https://scifaro.com/en/abs/imitating-unknown-policies-via-exploration-2008.05660</loc><lastmod>2020-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitating-unknown-policies-via-exploration-2008.05660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitating-unknown-policies-via-exploration-2008.05660"/></url>
<url><loc>https://scifaro.com/en/abs/waffle-weight-anonymized-factorization-for-federated-learning-2008.05687</loc><lastmod>2020-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/waffle-weight-anonymized-factorization-for-federated-learning-2008.05687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/waffle-weight-anonymized-factorization-for-federated-learning-2008.05687"/></url>
<url><loc>https://scifaro.com/en/abs/weight-equalizing-shift-scaler-coupled-post-training-quantization-2008.05767</loc><lastmod>2020-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weight-equalizing-shift-scaler-coupled-post-training-quantization-2008.05767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weight-equalizing-shift-scaler-coupled-post-training-quantization-2008.05767"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-evaluation-of-anomaly-detectors-for-sequences-2008.05788</loc><lastmod>2020-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-evaluation-of-anomaly-detectors-for-sequences-2008.05788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-evaluation-of-anomaly-detectors-for-sequences-2008.05788"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-naive-bayes-and-other-linear-classifiers-with-polynomial-time-and-delay-2008.05803</loc><lastmod>2020-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-naive-bayes-and-other-linear-classifiers-with-polynomial-time-and-delay-2008.05803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-naive-bayes-and-other-linear-classifiers-with-polynomial-time-and-delay-2008.05803"/></url>
<url><loc>https://scifaro.com/en/abs/small-towers-make-big-differences-2008.05808</loc><lastmod>2020-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-towers-make-big-differences-2008.05808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-towers-make-big-differences-2008.05808"/></url>
<url><loc>https://scifaro.com/en/abs/step-ahead-error-feedback-for-distributed-training-with-compressed-gradient-2008.05823</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/step-ahead-error-feedback-for-distributed-training-with-compressed-gradient-2008.05823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/step-ahead-error-feedback-for-distributed-training-with-compressed-gradient-2008.05823"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-supervised-learning-and-vaes-coverage-systematics-and-goodness-of-fit-in-normalizing-flow-based-neural-network-models-for-astro-particle-reconstructions-2008.05825</loc><lastmod>2024-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-supervised-learning-and-vaes-coverage-systematics-and-goodness-of-fit-in-normalizing-flow-based-neural-network-models-for-astro-particle-reconstructions-2008.05825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-supervised-learning-and-vaes-coverage-systematics-and-goodness-of-fit-in-normalizing-flow-based-neural-network-models-for-astro-particle-reconstructions-2008.05825"/></url>
<url><loc>https://scifaro.com/en/abs/single-photon-image-classification-2008.05859</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-photon-image-classification-2008.05859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-photon-image-classification-2008.05859"/></url>
<url><loc>https://scifaro.com/en/abs/lifelong-property-price-prediction-a-case-study-for-the-toronto-real-estate-market-2008.05880</loc><lastmod>2020-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifelong-property-price-prediction-a-case-study-for-the-toronto-real-estate-market-2008.05880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifelong-property-price-prediction-a-case-study-for-the-toronto-real-estate-market-2008.05880"/></url>
<url><loc>https://scifaro.com/en/abs/so-you-need-datasets-for-your-covid-19-detection-research-using-machine-learning-2008.05906</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/so-you-need-datasets-for-your-covid-19-detection-research-using-machine-learning-2008.05906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/so-you-need-datasets-for-your-covid-19-detection-research-using-machine-learning-2008.05906"/></url>
<url><loc>https://scifaro.com/en/abs/kullback-leibler-divergence-between-quantum-distributions-and-its-upper-bound-2008.05932</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kullback-leibler-divergence-between-quantum-distributions-and-its-upper-bound-2008.05932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kullback-leibler-divergence-between-quantum-distributions-and-its-upper-bound-2008.05932"/></url>
<url><loc>https://scifaro.com/en/abs/learning-stability-certificates-from-data-2008.05952</loc><lastmod>2020-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-stability-certificates-from-data-2008.05952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-stability-certificates-from-data-2008.05952"/></url>
<url><loc>https://scifaro.com/en/abs/deep-lock-secure-authorization-for-deep-neural-networks-2008.05966</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-lock-secure-authorization-for-deep-neural-networks-2008.05966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-lock-secure-authorization-for-deep-neural-networks-2008.05966"/></url>
<url><loc>https://scifaro.com/en/abs/variance-regularization-for-accelerating-stochastic-optimization-2008.05969</loc><lastmod>2020-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-regularization-for-accelerating-stochastic-optimization-2008.05969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-regularization-for-accelerating-stochastic-optimization-2008.05969"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-knowledge-integration-techniques-with-artificial-neural-networks-for-seq-2-seq-time-series-models-2008.05972</loc><lastmod>2020-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-knowledge-integration-techniques-with-artificial-neural-networks-for-seq-2-seq-time-series-models-2008.05972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-knowledge-integration-techniques-with-artificial-neural-networks-for-seq-2-seq-time-series-models-2008.05972"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-trajectory-feedback-2008.06036</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-trajectory-feedback-2008.06036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-trajectory-feedback-2008.06036"/></url>
<url><loc>https://scifaro.com/en/abs/offline-meta-reinforcement-learning-with-advantage-weighting-2008.06043</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-meta-reinforcement-learning-with-advantage-weighting-2008.06043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-meta-reinforcement-learning-with-advantage-weighting-2008.06043"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-and-provable-robustness-a-tale-of-two-objectives-2008.06081</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-and-provable-robustness-a-tale-of-two-objectives-2008.06081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-and-provable-robustness-a-tale-of-two-objectives-2008.06081"/></url>
<url><loc>https://scifaro.com/en/abs/push-saga-a-decentralized-stochastic-algorithm-with-variance-reduction-over-directed-graphs-2008.06082</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/push-saga-a-decentralized-stochastic-algorithm-with-variance-reduction-over-directed-graphs-2008.06082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/push-saga-a-decentralized-stochastic-algorithm-with-variance-reduction-over-directed-graphs-2008.06082"/></url>
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<url><loc>https://scifaro.com/en/abs/adversary-agnostic-robust-deep-reinforcement-learning-2008.06199</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversary-agnostic-robust-deep-reinforcement-learning-2008.06199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversary-agnostic-robust-deep-reinforcement-learning-2008.06199"/></url>
<url><loc>https://scifaro.com/en/abs/addressing-class-imbalance-in-federated-learning-2008.06217</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addressing-class-imbalance-in-federated-learning-2008.06217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addressing-class-imbalance-in-federated-learning-2008.06217"/></url>
<url><loc>https://scifaro.com/en/abs/which-strategies-matter-for-noisy-label-classification-insight-into-loss-and-uncertainty-2008.06218</loc><lastmod>2020-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-strategies-matter-for-noisy-label-classification-insight-into-loss-and-uncertainty-2008.06218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-strategies-matter-for-noisy-label-classification-insight-into-loss-and-uncertainty-2008.06218"/></url>
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<url><loc>https://scifaro.com/en/abs/privacy-preserving-asynchronous-federated-learning-algorithms-for-multi-party-vertically-collaborative-learning-2008.06233</loc><lastmod>2020-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-asynchronous-federated-learning-algorithms-for-multi-party-vertically-collaborative-learning-2008.06233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-asynchronous-federated-learning-algorithms-for-multi-party-vertically-collaborative-learning-2008.06233"/></url>
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<url><loc>https://scifaro.com/en/abs/supervised-topological-maps-2008.06395</loc><lastmod>2020-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-topological-maps-2008.06395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-topological-maps-2008.06395"/></url>
<url><loc>https://scifaro.com/en/abs/spinn-synergistic-progressive-inference-of-neural-networks-over-device-and-cloud-2008.06402</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spinn-synergistic-progressive-inference-of-neural-networks-over-device-and-cloud-2008.06402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spinn-synergistic-progressive-inference-of-neural-networks-over-device-and-cloud-2008.06402"/></url>
<url><loc>https://scifaro.com/en/abs/mastering-rate-based-curriculum-learning-2008.06456</loc><lastmod>2020-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mastering-rate-based-curriculum-learning-2008.06456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mastering-rate-based-curriculum-learning-2008.06456"/></url>
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<url><loc>https://scifaro.com/en/abs/orthogonalized-sgd-and-nested-architectures-for-anytime-neural-networks-2008.06635</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonalized-sgd-and-nested-architectures-for-anytime-neural-networks-2008.06635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonalized-sgd-and-nested-architectures-for-anytime-neural-networks-2008.06635"/></url>
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<url><loc>https://scifaro.com/en/abs/compositional-generalization-via-neural-symbolic-stack-machines-2008.06662</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-generalization-via-neural-symbolic-stack-machines-2008.06662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-generalization-via-neural-symbolic-stack-machines-2008.06662"/></url>
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<url><loc>https://scifaro.com/en/abs/natural-reweighted-wake-sleep-2008.06687</loc><lastmod>2022-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-reweighted-wake-sleep-2008.06687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-reweighted-wake-sleep-2008.06687"/></url>
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<url><loc>https://scifaro.com/en/abs/binarised-regression-with-instance-varying-costs-evaluation-using-impact-curves-2008.07349</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binarised-regression-with-instance-varying-costs-evaluation-using-impact-curves-2008.07349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binarised-regression-with-instance-varying-costs-evaluation-using-impact-curves-2008.07349"/></url>
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<url><loc>https://scifaro.com/en/abs/predicting-account-receivables-with-machine-learning-2008.07363</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-account-receivables-with-machine-learning-2008.07363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-account-receivables-with-machine-learning-2008.07363"/></url>
<url><loc>https://scifaro.com/en/abs/using-subjective-logic-to-estimate-uncertainty-in-multi-armed-bandit-problems-2008.07386</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-subjective-logic-to-estimate-uncertainty-in-multi-armed-bandit-problems-2008.07386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-subjective-logic-to-estimate-uncertainty-in-multi-armed-bandit-problems-2008.07386"/></url>
<url><loc>https://scifaro.com/en/abs/deep-networks-with-fast-retraining-2008.07387</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-networks-with-fast-retraining-2008.07387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-networks-with-fast-retraining-2008.07387"/></url>
<url><loc>https://scifaro.com/en/abs/lift-a-scalable-framework-for-measuring-fairness-in-ml-applications-2008.07433</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lift-a-scalable-framework-for-measuring-fairness-in-ml-applications-2008.07433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lift-a-scalable-framework-for-measuring-fairness-in-ml-applications-2008.07433"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-deep-reinforcement-learning-networks-with-health-system-simulations-2008.07434</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-deep-reinforcement-learning-networks-with-health-system-simulations-2008.07434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-deep-reinforcement-learning-networks-with-health-system-simulations-2008.07434"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-the-use-of-ai-and-ml-for-fighting-the-covid-19-pandemic-2008.07449</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-the-use-of-ai-and-ml-for-fighting-the-covid-19-pandemic-2008.07449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-the-use-of-ai-and-ml-for-fighting-the-covid-19-pandemic-2008.07449"/></url>
<url><loc>https://scifaro.com/en/abs/intelligence-plays-dice-stochasticity-is-essential-for-machine-learning-2008.07496</loc><lastmod>2020-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intelligence-plays-dice-stochasticity-is-essential-for-machine-learning-2008.07496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intelligence-plays-dice-stochasticity-is-essential-for-machine-learning-2008.07496"/></url>
<url><loc>https://scifaro.com/en/abs/notes-on-worst-case-inefficiency-of-gradient-descent-even-in-r-2-2008.07513</loc><lastmod>2022-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/notes-on-worst-case-inefficiency-of-gradient-descent-even-in-r-2-2008.07513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/notes-on-worst-case-inefficiency-of-gradient-descent-even-in-r-2-2008.07513"/></url>
<url><loc>https://scifaro.com/en/abs/whitening-and-second-order-optimization-both-make-information-in-the-dataset-unusable-during-training-and-can-reduce-or-prevent-generalization-2008.07545</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/whitening-and-second-order-optimization-both-make-information-in-the-dataset-unusable-during-training-and-can-reduce-or-prevent-generalization-2008.07545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/whitening-and-second-order-optimization-both-make-information-in-the-dataset-unusable-during-training-and-can-reduce-or-prevent-generalization-2008.07545"/></url>
<url><loc>https://scifaro.com/en/abs/joint-variational-autoencoders-for-recommendation-with-implicit-feedback-2008.07577</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-variational-autoencoders-for-recommendation-with-implicit-feedback-2008.07577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-variational-autoencoders-for-recommendation-with-implicit-feedback-2008.07577"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-bayesian-neural-networks-2008.07587</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-bayesian-neural-networks-2008.07587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-bayesian-neural-networks-2008.07587"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-irregularly-sampled-time-series-a-missing-data-perspective-2008.07599</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-irregularly-sampled-time-series-a-missing-data-perspective-2008.07599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-irregularly-sampled-time-series-a-missing-data-perspective-2008.07599"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-best-arm-identification-methods-for-tail-risk-measures-2008.07606</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-best-arm-identification-methods-for-tail-risk-measures-2008.07606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-best-arm-identification-methods-for-tail-risk-measures-2008.07606"/></url>
<url><loc>https://scifaro.com/en/abs/surveillance-of-covid-19-pandemic-using-hidden-markov-model-2008.07609</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surveillance-of-covid-19-pandemic-using-hidden-markov-model-2008.07609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surveillance-of-covid-19-pandemic-using-hidden-markov-model-2008.07609"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-learning-of-two-layer-relu-residual-units-2008.07648</loc><lastmod>2022-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-learning-of-two-layer-relu-residual-units-2008.07648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-learning-of-two-layer-relu-residual-units-2008.07648"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-the-application-of-feature-selection-methods-to-speech-imagery-bci-datasets-2008.07660</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-the-application-of-feature-selection-methods-to-speech-imagery-bci-datasets-2008.07660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-the-application-of-feature-selection-methods-to-speech-imagery-bci-datasets-2008.07660"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-distance-aggregation-for-federated-learning-with-non-iid-data-2008.07665</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-distance-aggregation-for-federated-learning-with-non-iid-data-2008.07665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-distance-aggregation-for-federated-learning-with-non-iid-data-2008.07665"/></url>
<url><loc>https://scifaro.com/en/abs/hippo-recurrent-memory-with-optimal-polynomial-projections-2008.07669</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hippo-recurrent-memory-with-optimal-polynomial-projections-2008.07669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hippo-recurrent-memory-with-optimal-polynomial-projections-2008.07669"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-node-embeddings-using-tensor-decomposition-a-case-study-on-deepwalk-2008.07672</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-node-embeddings-using-tensor-decomposition-a-case-study-on-deepwalk-2008.07672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-node-embeddings-using-tensor-decomposition-a-case-study-on-deepwalk-2008.07672"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-clarification-questions-via-natural-language-inference-2008.07688</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-clarification-questions-via-natural-language-inference-2008.07688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-clarification-questions-via-natural-language-inference-2008.07688"/></url>
<url><loc>https://scifaro.com/en/abs/rtfn-robust-temporal-feature-network-2008.07707</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rtfn-robust-temporal-feature-network-2008.07707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rtfn-robust-temporal-feature-network-2008.07707"/></url>
<url><loc>https://scifaro.com/en/abs/selecting-data-adaptive-learner-from-multiple-deep-learners-using-bayesian-networks-2008.07709</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selecting-data-adaptive-learner-from-multiple-deep-learners-using-bayesian-networks-2008.07709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selecting-data-adaptive-learner-from-multiple-deep-learners-using-bayesian-networks-2008.07709"/></url>
<url><loc>https://scifaro.com/en/abs/ordinal-pattern-kernel-for-brain-connectivity-network-classification-2008.07719</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ordinal-pattern-kernel-for-brain-connectivity-network-classification-2008.07719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ordinal-pattern-kernel-for-brain-connectivity-network-classification-2008.07719"/></url>
<url><loc>https://scifaro.com/en/abs/word2vec-skip-gram-dimensionality-selection-via-sequential-normalized-maximum-likelihood-2008.07720</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/word2vec-skip-gram-dimensionality-selection-via-sequential-normalized-maximum-likelihood-2008.07720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/word2vec-skip-gram-dimensionality-selection-via-sequential-normalized-maximum-likelihood-2008.07720"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-extraction-of-long-term-trends-and-short-term-fluctuation-framework-for-multivariate-time-series-forecasting-2008.07730</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-extraction-of-long-term-trends-and-short-term-fluctuation-framework-for-multivariate-time-series-forecasting-2008.07730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-extraction-of-long-term-trends-and-short-term-fluctuation-framework-for-multivariate-time-series-forecasting-2008.07730"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-reward-agnostic-navigation-with-linear-value-iteration-2008.07737</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-reward-agnostic-navigation-with-linear-value-iteration-2008.07737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-reward-agnostic-navigation-with-linear-value-iteration-2008.07737"/></url>
<url><loc>https://scifaro.com/en/abs/positive-semidefinite-support-vector-regression-metric-learning-2008.07739</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/positive-semidefinite-support-vector-regression-metric-learning-2008.07739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/positive-semidefinite-support-vector-regression-metric-learning-2008.07739"/></url>
<url><loc>https://scifaro.com/en/abs/robust-low-rank-matrix-completion-via-an-alternating-manifold-proximal-gradient-continuation-method-2008.07740</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-low-rank-matrix-completion-via-an-alternating-manifold-proximal-gradient-continuation-method-2008.07740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-low-rank-matrix-completion-via-an-alternating-manifold-proximal-gradient-continuation-method-2008.07740"/></url>
<url><loc>https://scifaro.com/en/abs/shared-mf-a-privacy-preserving-recommendation-system-2008.07759</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shared-mf-a-privacy-preserving-recommendation-system-2008.07759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shared-mf-a-privacy-preserving-recommendation-system-2008.07759"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-future-sales-of-retail-products-using-machine-learning-2008.07779</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-future-sales-of-retail-products-using-machine-learning-2008.07779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-future-sales-of-retail-products-using-machine-learning-2008.07779"/></url>
<url><loc>https://scifaro.com/en/abs/a-hierarchical-user-intention-habit-extract-network-for-credit-loan-overdue-risk-detection-2008.07796</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hierarchical-user-intention-habit-extract-network-for-credit-loan-overdue-risk-detection-2008.07796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hierarchical-user-intention-habit-extract-network-for-credit-loan-overdue-risk-detection-2008.07796"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-transfer-learning-for-anomaly-detection-application-to-complementary-operating-condition-transfer-2008.07815</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-transfer-learning-for-anomaly-detection-application-to-complementary-operating-condition-transfer-2008.07815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-transfer-learning-for-anomaly-detection-application-to-complementary-operating-condition-transfer-2008.07815"/></url>
<url><loc>https://scifaro.com/en/abs/improving-adversarial-robustness-of-deep-neural-networks-by-using-semantic-information-2008.07838</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-adversarial-robustness-of-deep-neural-networks-by-using-semantic-information-2008.07838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-adversarial-robustness-of-deep-neural-networks-by-using-semantic-information-2008.07838"/></url>
<url><loc>https://scifaro.com/en/abs/a-formally-robust-time-series-distance-metric-2008.07865</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-formally-robust-time-series-distance-metric-2008.07865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-formally-robust-time-series-distance-metric-2008.07865"/></url>
<url><loc>https://scifaro.com/en/abs/multi-modal-trajectory-prediction-of-nba-players-2008.07870</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-modal-trajectory-prediction-of-nba-players-2008.07870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-modal-trajectory-prediction-of-nba-players-2008.07870"/></url>
<url><loc>https://scifaro.com/en/abs/towards-closing-the-sim-to-real-gap-in-collaborative-multi-robot-deep-reinforcement-learning-2008.07875</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-closing-the-sim-to-real-gap-in-collaborative-multi-robot-deep-reinforcement-learning-2008.07875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-closing-the-sim-to-real-gap-in-collaborative-multi-robot-deep-reinforcement-learning-2008.07875"/></url>
<url><loc>https://scifaro.com/en/abs/linear-disentangled-representations-and-unsupervised-action-estimation-2008.07922</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-disentangled-representations-and-unsupervised-action-estimation-2008.07922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-disentangled-representations-and-unsupervised-action-estimation-2008.07922"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-distillation-for-decentralized-learning-from-heterogeneous-clients-2008.07948</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-distillation-for-decentralized-learning-from-heterogeneous-clients-2008.07948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-distillation-for-decentralized-learning-from-heterogeneous-clients-2008.07948"/></url>
<url><loc>https://scifaro.com/en/abs/training-deep-neural-networks-without-batch-normalization-2008.07970</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-deep-neural-networks-without-batch-normalization-2008.07970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-deep-neural-networks-without-batch-normalization-2008.07970"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-adaptive-line-search-for-differentially-private-optimization-2008.07978</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-adaptive-line-search-for-differentially-private-optimization-2008.07978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-adaptive-line-search-for-differentially-private-optimization-2008.07978"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-clustering-tight-approximation-ratios-2008.08007</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-clustering-tight-approximation-ratios-2008.08007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-clustering-tight-approximation-ratios-2008.08007"/></url>
<url><loc>https://scifaro.com/en/abs/moment-multicalibration-for-uncertainty-estimation-2008.08037</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moment-multicalibration-for-uncertainty-estimation-2008.08037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moment-multicalibration-for-uncertainty-estimation-2008.08037"/></url>
<url><loc>https://scifaro.com/en/abs/when-hardness-of-approximation-meets-hardness-of-learning-2008.08059</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-hardness-of-approximation-meets-hardness-of-learning-2008.08059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-hardness-of-approximation-meets-hardness-of-learning-2008.08059"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-deep-learning-for-ventricular-arrhythmias-detection-on-medical-iot-systems-2008.08060</loc><lastmod>2020-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-deep-learning-for-ventricular-arrhythmias-detection-on-medical-iot-systems-2008.08060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-deep-learning-for-ventricular-arrhythmias-detection-on-medical-iot-systems-2008.08060"/></url>
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<url><loc>https://scifaro.com/en/abs/beta-variational-classifiers-under-attack-2008.09010</loc><lastmod>2020-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beta-variational-classifiers-under-attack-2008.09010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beta-variational-classifiers-under-attack-2008.09010"/></url>
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<url><loc>https://scifaro.com/en/abs/training-sensitivity-in-graph-isomorphism-network-2008.09020</loc><lastmod>2020-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-sensitivity-in-graph-isomorphism-network-2008.09020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-sensitivity-in-graph-isomorphism-network-2008.09020"/></url>
<url><loc>https://scifaro.com/en/abs/towards-adversarial-robustness-with-01-loss-neural-networks-2008.09148</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-adversarial-robustness-with-01-loss-neural-networks-2008.09148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-adversarial-robustness-with-01-loss-neural-networks-2008.09148"/></url>
<url><loc>https://scifaro.com/en/abs/nopeek-information-leakage-reduction-to-share-activations-in-distributed-deep-learning-2008.09161</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nopeek-information-leakage-reduction-to-share-activations-in-distributed-deep-learning-2008.09161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nopeek-information-leakage-reduction-to-share-activations-in-distributed-deep-learning-2008.09161"/></url>
<url><loc>https://scifaro.com/en/abs/imitation-learning-with-sinkhorn-distances-2008.09167</loc><lastmod>2022-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitation-learning-with-sinkhorn-distances-2008.09167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitation-learning-with-sinkhorn-distances-2008.09167"/></url>
<url><loc>https://scifaro.com/en/abs/a-systematic-assessment-of-deep-learning-models-for-molecule-generation-2008.09168</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-systematic-assessment-of-deep-learning-models-for-molecule-generation-2008.09168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-systematic-assessment-of-deep-learning-models-for-molecule-generation-2008.09168"/></url>
<url><loc>https://scifaro.com/en/abs/the-canonical-interval-forest-cif-classifier-for-time-series-classification-2008.09172</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-canonical-interval-forest-cif-classifier-for-time-series-classification-2008.09172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-canonical-interval-forest-cif-classifier-for-time-series-classification-2008.09172"/></url>
<url><loc>https://scifaro.com/en/abs/on-attribution-of-deepfakes-2008.09194</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-attribution-of-deepfakes-2008.09194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-attribution-of-deepfakes-2008.09194"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-wasserstein-gan-based-oversampling-of-tabular-data-for-imbalanced-learning-2008.09202</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-wasserstein-gan-based-oversampling-of-tabular-data-for-imbalanced-learning-2008.09202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-wasserstein-gan-based-oversampling-of-tabular-data-for-imbalanced-learning-2008.09202"/></url>
<url><loc>https://scifaro.com/en/abs/a-dp-2-sgd-asynchronous-decentralized-parallel-stochastic-gradient-descent-with-differential-privacy-2008.09246</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dp-2-sgd-asynchronous-decentralized-parallel-stochastic-gradient-descent-with-differential-privacy-2008.09246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dp-2-sgd-asynchronous-decentralized-parallel-stochastic-gradient-descent-with-differential-privacy-2008.09246"/></url>
<url><loc>https://scifaro.com/en/abs/refined-analysis-of-fpl-for-adversarial-markov-decision-processes-2008.09251</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/refined-analysis-of-fpl-for-adversarial-markov-decision-processes-2008.09251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/refined-analysis-of-fpl-for-adversarial-markov-decision-processes-2008.09251"/></url>
<url><loc>https://scifaro.com/en/abs/defending-regression-learners-against-poisoning-attacks-2008.09279</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defending-regression-learners-against-poisoning-attacks-2008.09279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defending-regression-learners-against-poisoning-attacks-2008.09279"/></url>
<url><loc>https://scifaro.com/en/abs/defending-distributed-classifiers-against-data-poisoning-attacks-2008.09284</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defending-distributed-classifiers-against-data-poisoning-attacks-2008.09284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defending-distributed-classifiers-against-data-poisoning-attacks-2008.09284"/></url>
<url><loc>https://scifaro.com/en/abs/a-composable-specification-language-for-reinforcement-learning-tasks-2008.09293</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-composable-specification-language-for-reinforcement-learning-tasks-2008.09293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-composable-specification-language-for-reinforcement-learning-tasks-2008.09293"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-adversarial-attacks-on-stochastic-bandits-and-defenses-with-smoothed-responses-2008.09312</loc><lastmod>2024-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-adversarial-attacks-on-stochastic-bandits-and-defenses-with-smoothed-responses-2008.09312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-adversarial-attacks-on-stochastic-bandits-and-defenses-with-smoothed-responses-2008.09312"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-recommender-systems-via-resolving-learning-representations-2008.09316</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-recommender-systems-via-resolving-learning-representations-2008.09316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-recommender-systems-via-resolving-learning-representations-2008.09316"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-communication-delay-in-edge-networks-2008.09323</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-communication-delay-in-edge-networks-2008.09323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-communication-delay-in-edge-networks-2008.09323"/></url>
<url><loc>https://scifaro.com/en/abs/self-attentive-classification-based-anomaly-detection-in-unstructured-logs-2008.09340</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-attentive-classification-based-anomaly-detection-in-unstructured-logs-2008.09340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-attentive-classification-based-anomaly-detection-in-unstructured-logs-2008.09340"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-user-browsing-bandits-for-large-scale-online-mobile-recommendation-2008.09368</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-user-browsing-bandits-for-large-scale-online-mobile-recommendation-2008.09368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-user-browsing-bandits-for-large-scale-online-mobile-recommendation-2008.09368"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-collaborate-in-multi-module-recommendation-via-multi-agent-reinforcement-learning-without-communication-2008.09369</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-collaborate-in-multi-module-recommendation-via-multi-agent-reinforcement-learning-without-communication-2008.09369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-collaborate-in-multi-module-recommendation-via-multi-agent-reinforcement-learning-without-communication-2008.09369"/></url>
<url><loc>https://scifaro.com/en/abs/curriculum-learning-with-hindsight-experience-replay-for-sequential-object-manipulation-tasks-2008.09377</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curriculum-learning-with-hindsight-experience-replay-for-sequential-object-manipulation-tasks-2008.09377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curriculum-learning-with-hindsight-experience-replay-for-sequential-object-manipulation-tasks-2008.09377"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-assessing-the-generalization-envelope-of-deep-neural-networks-predictive-uncertainty-out-of-distribution-and-adversarial-samples-2008.09381</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-assessing-the-generalization-envelope-of-deep-neural-networks-predictive-uncertainty-out-of-distribution-and-adversarial-samples-2008.09381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-assessing-the-generalization-envelope-of-deep-neural-networks-predictive-uncertainty-out-of-distribution-and-adversarial-samples-2008.09381"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-machine-learning-models-for-the-fast-identification-of-contingency-cases-2008.09384</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-machine-learning-models-for-the-fast-identification-of-contingency-cases-2008.09384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-machine-learning-models-for-the-fast-identification-of-contingency-cases-2008.09384"/></url>
<url><loc>https://scifaro.com/en/abs/a-constrained-recursion-algorithm-for-batch-normalization-of-tree-sturctured-lstm-2008.09409</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-constrained-recursion-algorithm-for-batch-normalization-of-tree-sturctured-lstm-2008.09409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-constrained-recursion-algorithm-for-batch-normalization-of-tree-sturctured-lstm-2008.09409"/></url>
<url><loc>https://scifaro.com/en/abs/rectified-decision-trees-exploring-the-landscape-of-interpretable-and-effective-machine-learning-2008.09413</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rectified-decision-trees-exploring-the-landscape-of-interpretable-and-effective-machine-learning-2008.09413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rectified-decision-trees-exploring-the-landscape-of-interpretable-and-effective-machine-learning-2008.09413"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-imitation-learning-via-random-search-2008.09450</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-imitation-learning-via-random-search-2008.09450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-imitation-learning-via-random-search-2008.09450"/></url>
<url><loc>https://scifaro.com/en/abs/respvad-voice-activity-detection-via-video-extracted-respiration-patterns-2008.09466</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/respvad-voice-activity-detection-via-video-extracted-respiration-patterns-2008.09466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/respvad-voice-activity-detection-via-video-extracted-respiration-patterns-2008.09466"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-stochastic-variational-inference-for-neural-processes-with-hierarchical-latent-variables-2008.09469</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-stochastic-variational-inference-for-neural-processes-with-hierarchical-latent-variables-2008.09469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-stochastic-variational-inference-for-neural-processes-with-hierarchical-latent-variables-2008.09469"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-based-minority-oversampling-for-imbalanced-classification-2008.09488</loc><lastmod>2020-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-based-minority-oversampling-for-imbalanced-classification-2008.09488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-based-minority-oversampling-for-imbalanced-classification-2008.09488"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-individual-and-group-fairness-2008.09490</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-individual-and-group-fairness-2008.09490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-individual-and-group-fairness-2008.09490"/></url>
<url><loc>https://scifaro.com/en/abs/neural-logic-reasoning-2008.09514</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-logic-reasoning-2008.09514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-logic-reasoning-2008.09514"/></url>
<url><loc>https://scifaro.com/en/abs/change-point-detection-in-time-series-data-using-autoencoders-with-a-time-invariant-representation-2008.09524</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/change-point-detection-in-time-series-data-using-autoencoders-with-a-time-invariant-representation-2008.09524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/change-point-detection-in-time-series-data-using-autoencoders-with-a-time-invariant-representation-2008.09524"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-tan-structure-learning-for-bayesian-network-classifiers-2008.09566</loc><lastmod>2020-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-tan-structure-learning-for-bayesian-network-classifiers-2008.09566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-tan-structure-learning-for-bayesian-network-classifiers-2008.09566"/></url>
<url><loc>https://scifaro.com/en/abs/conivat-cluster-tendency-assessment-and-clustering-with-partial-background-knowledge-2008.09570</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conivat-cluster-tendency-assessment-and-clustering-with-partial-background-knowledge-2008.09570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conivat-cluster-tendency-assessment-and-clustering-with-partial-background-knowledge-2008.09570"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-of-graph-neural-networks-with-natural-gradient-descent-2008.09624</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-of-graph-neural-networks-with-natural-gradient-descent-2008.09624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-of-graph-neural-networks-with-natural-gradient-descent-2008.09624"/></url>
<url><loc>https://scifaro.com/en/abs/mpcc-matching-priors-and-conditionals-for-clustering-2008.09641</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mpcc-matching-priors-and-conditionals-for-clustering-2008.09641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mpcc-matching-priors-and-conditionals-for-clustering-2008.09641"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-recalibration-under-domain-shift-2008.09643</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-recalibration-under-domain-shift-2008.09643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-recalibration-under-domain-shift-2008.09643"/></url>
<url><loc>https://scifaro.com/en/abs/biased-mixtures-of-experts-enabling-computer-vision-inference-under-data-transfer-limitations-2008.09662</loc><lastmod>2020-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biased-mixtures-of-experts-enabling-computer-vision-inference-under-data-transfer-limitations-2008.09662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biased-mixtures-of-experts-enabling-computer-vision-inference-under-data-transfer-limitations-2008.09662"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-episodic-control-with-state-aggregation-2008.09685</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-episodic-control-with-state-aggregation-2008.09685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-episodic-control-with-state-aggregation-2008.09685"/></url>
<url><loc>https://scifaro.com/en/abs/seasonal-adjustment-based-feature-selection-method-for-large-scale-search-engine-logs-2008.09727</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seasonal-adjustment-based-feature-selection-method-for-large-scale-search-engine-logs-2008.09727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seasonal-adjustment-based-feature-selection-method-for-large-scale-search-engine-logs-2008.09727"/></url>
<url><loc>https://scifaro.com/en/abs/fatigue-aware-bandits-for-dependent-click-models-2008.09733</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fatigue-aware-bandits-for-dependent-click-models-2008.09733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fatigue-aware-bandits-for-dependent-click-models-2008.09733"/></url>
<url><loc>https://scifaro.com/en/abs/variational-autoencoder-for-anti-cancer-drug-response-prediction-2008.09763</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-autoencoder-for-anti-cancer-drug-response-prediction-2008.09763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-autoencoder-for-anti-cancer-drug-response-prediction-2008.09763"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-deep-learning-of-multiscale-differential-equation-time-steppers-2008.09768</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-deep-learning-of-multiscale-differential-equation-time-steppers-2008.09768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-deep-learning-of-multiscale-differential-equation-time-steppers-2008.09768"/></url>
<url><loc>https://scifaro.com/en/abs/dnn2lr-interpretation-inspired-feature-crossing-for-real-world-tabular-data-2008.09775</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dnn2lr-interpretation-inspired-feature-crossing-for-real-world-tabular-data-2008.09775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dnn2lr-interpretation-inspired-feature-crossing-for-real-world-tabular-data-2008.09775"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-nas-benchmarks-going-beyond-the-limited-search-spaces-of-tabular-nas-benchmarks-2008.09777</loc><lastmod>2022-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-nas-benchmarks-going-beyond-the-limited-search-spaces-of-tabular-nas-benchmarks-2008.09777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-nas-benchmarks-going-beyond-the-limited-search-spaces-of-tabular-nas-benchmarks-2008.09777"/></url>
<url><loc>https://scifaro.com/en/abs/self-competitive-neural-networks-2008.09824</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-competitive-neural-networks-2008.09824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-competitive-neural-networks-2008.09824"/></url>
<url><loc>https://scifaro.com/en/abs/fast-approximate-multi-output-gaussian-processes-2008.09848</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-approximate-multi-output-gaussian-processes-2008.09848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-approximate-multi-output-gaussian-processes-2008.09848"/></url>
<url><loc>https://scifaro.com/en/abs/tackling-over-smoothing-for-general-graph-convolutional-networks-2008.09864</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tackling-over-smoothing-for-general-graph-convolutional-networks-2008.09864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tackling-over-smoothing-for-general-graph-convolutional-networks-2008.09864"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-classification-with-split-learning-2008.09874</loc><lastmod>2020-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-classification-with-split-learning-2008.09874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-classification-with-split-learning-2008.09874"/></url>
<url><loc>https://scifaro.com/en/abs/prevention-is-better-than-cure-handling-basis-collapse-and-transparency-in-dense-networks-2008.09878</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prevention-is-better-than-cure-handling-basis-collapse-and-transparency-in-dense-networks-2008.09878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prevention-is-better-than-cure-handling-basis-collapse-and-transparency-in-dense-networks-2008.09878"/></url>
<url><loc>https://scifaro.com/en/abs/wela-vae-learning-alternative-disentangled-representations-using-weak-labels-2008.09879</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wela-vae-learning-alternative-disentangled-representations-using-weak-labels-2008.09879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wela-vae-learning-alternative-disentangled-representations-using-weak-labels-2008.09879"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-data-programming-with-subset-selection-2008.09887</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-data-programming-with-subset-selection-2008.09887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-data-programming-with-subset-selection-2008.09887"/></url>
<url><loc>https://scifaro.com/en/abs/icvi-artmap-accelerating-and-improving-clustering-using-adaptive-resonance-theory-predictive-mapping-and-incremental-cluster-validity-indices-2008.09903</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/icvi-artmap-accelerating-and-improving-clustering-using-adaptive-resonance-theory-predictive-mapping-and-incremental-cluster-validity-indices-2008.09903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/icvi-artmap-accelerating-and-improving-clustering-using-adaptive-resonance-theory-predictive-mapping-and-incremental-cluster-validity-indices-2008.09903"/></url>
<url><loc>https://scifaro.com/en/abs/informative-neural-ensemble-kalman-learning-2008.09915</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/informative-neural-ensemble-kalman-learning-2008.09915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/informative-neural-ensemble-kalman-learning-2008.09915"/></url>
<url><loc>https://scifaro.com/en/abs/one-weight-bitwidth-to-rule-them-all-2008.09916</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-weight-bitwidth-to-rule-them-all-2008.09916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-weight-bitwidth-to-rule-them-all-2008.09916"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-approaches-to-real-estate-market-prediction-problem-a-case-study-2008.09922</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-approaches-to-real-estate-market-prediction-problem-a-case-study-2008.09922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-approaches-to-real-estate-market-prediction-problem-a-case-study-2008.09922"/></url>
<url><loc>https://scifaro.com/en/abs/dsp-a-differential-spatial-prediction-scheme-for-comprehensive-real-industrial-datasets-2008.09951</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dsp-a-differential-spatial-prediction-scheme-for-comprehensive-real-industrial-datasets-2008.09951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dsp-a-differential-spatial-prediction-scheme-for-comprehensive-real-industrial-datasets-2008.09951"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-organizational-resources-to-adapt-models-to-new-data-modalities-2008.09983</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-organizational-resources-to-adapt-models-to-new-data-modalities-2008.09983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-organizational-resources-to-adapt-models-to-new-data-modalities-2008.09983"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-multi-view-clustering-by-squeezing-hybrid-knowledge-from-cross-view-and-each-view-2008.09990</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-multi-view-clustering-by-squeezing-hybrid-knowledge-from-cross-view-and-each-view-2008.09990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-multi-view-clustering-by-squeezing-hybrid-knowledge-from-cross-view-and-each-view-2008.09990"/></url>
<url><loc>https://scifaro.com/en/abs/multi-kernel-passive-stochastic-gradient-algorithms-and-transfer-learning-2008.10020</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-kernel-passive-stochastic-gradient-algorithms-and-transfer-learning-2008.10020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-kernel-passive-stochastic-gradient-algorithms-and-transfer-learning-2008.10020"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-domain-adaptation-via-discriminative-manifold-propagation-2008.10030</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-via-discriminative-manifold-propagation-2008.10030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-via-discriminative-manifold-propagation-2008.10030"/></url>
<url><loc>https://scifaro.com/en/abs/learning-off-policy-with-online-planning-2008.10066</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-off-policy-with-online-planning-2008.10066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-off-policy-with-online-planning-2008.10066"/></url>
<url><loc>https://scifaro.com/en/abs/learn-to-talk-via-proactive-knowledge-transfer-2008.10077</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-to-talk-via-proactive-knowledge-transfer-2008.10077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-to-talk-via-proactive-knowledge-transfer-2008.10077"/></url>
<url><loc>https://scifaro.com/en/abs/multiverse-a-multiplex-and-multiplex-heterogeneous-network-embedding-approach-2008.10085</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiverse-a-multiplex-and-multiplex-heterogeneous-network-embedding-approach-2008.10085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiverse-a-multiplex-and-multiplex-heterogeneous-network-embedding-approach-2008.10085"/></url>
<url><loc>https://scifaro.com/en/abs/single-timescale-stochastic-nonconvex-concave-optimization-for-smooth-nonlinear-td-learning-2008.10103</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-timescale-stochastic-nonconvex-concave-optimization-for-smooth-nonlinear-td-learning-2008.10103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-timescale-stochastic-nonconvex-concave-optimization-for-smooth-nonlinear-td-learning-2008.10103"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-filtering-under-model-uncertainty-2008.10117</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-filtering-under-model-uncertainty-2008.10117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-filtering-under-model-uncertainty-2008.10117"/></url>
<url><loc>https://scifaro.com/en/abs/ballroom-dance-movement-recognition-using-a-smart-watch-2008.10122</loc><lastmod>2020-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ballroom-dance-movement-recognition-using-a-smart-watch-2008.10122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ballroom-dance-movement-recognition-using-a-smart-watch-2008.10122"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-learning-multi-view-redundancy-and-linear-models-2008.10150</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-learning-multi-view-redundancy-and-linear-models-2008.10150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-learning-multi-view-redundancy-and-linear-models-2008.10150"/></url>
<url><loc>https://scifaro.com/en/abs/a-lagrangian-dual-based-theory-guided-deep-neural-network-2008.10159</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-lagrangian-dual-based-theory-guided-deep-neural-network-2008.10159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-lagrangian-dual-based-theory-guided-deep-neural-network-2008.10159"/></url>
<url><loc>https://scifaro.com/en/abs/halo-learning-to-prune-neural-networks-with-shrinkage-2008.10183</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/halo-learning-to-prune-neural-networks-with-shrinkage-2008.10183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/halo-learning-to-prune-neural-networks-with-shrinkage-2008.10183"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-graph-learning-by-joint-modeling-of-consistency-and-inconsistency-2008.10208</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-graph-learning-by-joint-modeling-of-consistency-and-inconsistency-2008.10208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-graph-learning-by-joint-modeling-of-consistency-and-inconsistency-2008.10208"/></url>
<url><loc>https://scifaro.com/en/abs/sample-rank-weak-multi-objective-recommendations-using-rejection-sampling-2008.10277</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-rank-weak-multi-objective-recommendations-using-rejection-sampling-2008.10277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-rank-weak-multi-objective-recommendations-using-rejection-sampling-2008.10277"/></url>
<url><loc>https://scifaro.com/en/abs/bosch-deep-learning-hardware-benchmark-2008.10293</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bosch-deep-learning-hardware-benchmark-2008.10293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bosch-deep-learning-hardware-benchmark-2008.10293"/></url>
<url><loc>https://scifaro.com/en/abs/atm-cash-demand-forecasting-in-an-indian-bank-with-chaos-and-deep-learning-2008.10365</loc><lastmod>2022-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/atm-cash-demand-forecasting-in-an-indian-bank-with-chaos-and-deep-learning-2008.10365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/atm-cash-demand-forecasting-in-an-indian-bank-with-chaos-and-deep-learning-2008.10365"/></url>
<url><loc>https://scifaro.com/en/abs/two-stages-approach-for-tweet-engagement-prediction-2008.10419</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-stages-approach-for-tweet-engagement-prediction-2008.10419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-stages-approach-for-tweet-engagement-prediction-2008.10419"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-design-of-neural-networks-with-random-weights-2008.10425</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-design-of-neural-networks-with-random-weights-2008.10425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-design-of-neural-networks-with-random-weights-2008.10425"/></url>
<url><loc>https://scifaro.com/en/abs/improved-memories-learning-2008.10433</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-memories-learning-2008.10433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-memories-learning-2008.10433"/></url>
<url><loc>https://scifaro.com/en/abs/periodic-stochastic-gradient-descent-with-momentum-for-decentralized-training-2008.10435</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/periodic-stochastic-gradient-descent-with-momentum-for-decentralized-training-2008.10435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/periodic-stochastic-gradient-descent-with-momentum-for-decentralized-training-2008.10435"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-covid-19-cases-in-india-through-machine-learning-a-study-of-intervention-2008.10450</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-covid-19-cases-in-india-through-machine-learning-a-study-of-intervention-2008.10450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-covid-19-cases-in-india-through-machine-learning-a-study-of-intervention-2008.10450"/></url>
<url><loc>https://scifaro.com/en/abs/sde-net-equipping-deep-neural-networks-with-uncertainty-estimates-2008.10546</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sde-net-equipping-deep-neural-networks-with-uncertainty-estimates-2008.10546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sde-net-equipping-deep-neural-networks-with-uncertainty-estimates-2008.10546"/></url>
<url><loc>https://scifaro.com/en/abs/on-sampling-from-data-with-duplicate-records-2008.10549</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-sampling-from-data-with-duplicate-records-2008.10549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-sampling-from-data-with-duplicate-records-2008.10549"/></url>
<url><loc>https://scifaro.com/en/abs/neural-bridge-sampling-for-evaluating-safety-critical-autonomous-systems-2008.10581</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-bridge-sampling-for-evaluating-safety-critical-autonomous-systems-2008.10581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-bridge-sampling-for-evaluating-safety-critical-autonomous-systems-2008.10581"/></url>
<url><loc>https://scifaro.com/en/abs/what-if-motion-prediction-for-autonomous-driving-2008.10587</loc><lastmod>2020-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-if-motion-prediction-for-autonomous-driving-2008.10587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-if-motion-prediction-for-autonomous-driving-2008.10587"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-dispatching-for-large-scale-heterogeneous-fleet-via-multi-agent-deep-reinforcement-learning-2008.10713</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-dispatching-for-large-scale-heterogeneous-fleet-via-multi-agent-deep-reinforcement-learning-2008.10713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-dispatching-for-large-scale-heterogeneous-fleet-via-multi-agent-deep-reinforcement-learning-2008.10713"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-multi-modal-representation-learning-for-affective-computing-with-multi-corpus-wearable-data-2008.10726</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-multi-modal-representation-learning-for-affective-computing-with-multi-corpus-wearable-data-2008.10726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-multi-modal-representation-learning-for-affective-computing-with-multi-corpus-wearable-data-2008.10726"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-aerospace-engineering-reframing-the-industry-with-machine-learning-2008.10740</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-aerospace-engineering-reframing-the-industry-with-machine-learning-2008.10740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-aerospace-engineering-reframing-the-industry-with-machine-learning-2008.10740"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-investigation-of-different-classifiers-encoding-and-ensemble-schemes-for-next-event-prediction-using-business-process-event-logs-2008.10748</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-investigation-of-different-classifiers-encoding-and-ensemble-schemes-for-next-event-prediction-using-business-process-event-logs-2008.10748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-investigation-of-different-classifiers-encoding-and-ensemble-schemes-for-next-event-prediction-using-business-process-event-logs-2008.10748"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-nonlinear-decision-trees-for-binary-classification-tasks-with-other-existing-methods-2008.10753</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-nonlinear-decision-trees-for-binary-classification-tasks-with-other-existing-methods-2008.10753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-nonlinear-decision-trees-for-binary-classification-tasks-with-other-existing-methods-2008.10753"/></url>
<url><loc>https://scifaro.com/en/abs/residual-network-based-direct-synthesis-of-em-structures-a-study-on-one-to-one-transformers-2008.10755</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-network-based-direct-synthesis-of-em-structures-a-study-on-one-to-one-transformers-2008.10755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-network-based-direct-synthesis-of-em-structures-a-study-on-one-to-one-transformers-2008.10755"/></url>
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<url><loc>https://scifaro.com/en/abs/counterfactual-explanations-for-machine-learning-on-multivariate-time-series-data-2008.10781</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-explanations-for-machine-learning-on-multivariate-time-series-data-2008.10781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-explanations-for-machine-learning-on-multivariate-time-series-data-2008.10781"/></url>
<url><loc>https://scifaro.com/en/abs/smart-weather-forecasting-using-machine-learning-a-case-study-in-tennessee-2008.10789</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smart-weather-forecasting-using-machine-learning-a-case-study-in-tennessee-2008.10789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smart-weather-forecasting-using-machine-learning-a-case-study-in-tennessee-2008.10789"/></url>
<url><loc>https://scifaro.com/en/abs/the-fairness-accuracy-pareto-front-2008.10797</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-fairness-accuracy-pareto-front-2008.10797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-fairness-accuracy-pareto-front-2008.10797"/></url>
<url><loc>https://scifaro.com/en/abs/ensuring-monotonic-policy-improvement-in-entropy-regularized-value-based-reinforcement-learning-2008.10806</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensuring-monotonic-policy-improvement-in-entropy-regularized-value-based-reinforcement-learning-2008.10806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensuring-monotonic-policy-improvement-in-entropy-regularized-value-based-reinforcement-learning-2008.10806"/></url>
<url><loc>https://scifaro.com/en/abs/fedcvt-semi-supervised-vertical-federated-learning-with-cross-view-training-2008.10838</loc><lastmod>2024-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedcvt-semi-supervised-vertical-federated-learning-with-cross-view-training-2008.10838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedcvt-semi-supervised-vertical-federated-learning-with-cross-view-training-2008.10838"/></url>
<url><loc>https://scifaro.com/en/abs/cngan-generative-adversarial-networks-for-cross-network-user-preference-generation-for-non-overlapped-users-2008.10845</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cngan-generative-adversarial-networks-for-cross-network-user-preference-generation-for-non-overlapped-users-2008.10845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cngan-generative-adversarial-networks-for-cross-network-user-preference-generation-for-non-overlapped-users-2008.10845"/></url>
<url><loc>https://scifaro.com/en/abs/lstm-networks-for-online-cross-network-recommendations-2008.10849</loc><lastmod>2020-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lstm-networks-for-online-cross-network-recommendations-2008.10849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lstm-networks-for-online-cross-network-recommendations-2008.10849"/></url>
<url><loc>https://scifaro.com/en/abs/the-advantage-of-conditional-meta-learning-for-biased-regularization-and-fine-tuning-2008.10857</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-advantage-of-conditional-meta-learning-for-biased-regularization-and-fine-tuning-2008.10857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-advantage-of-conditional-meta-learning-for-biased-regularization-and-fine-tuning-2008.10857"/></url>
<url><loc>https://scifaro.com/en/abs/lowfer-low-rank-bilinear-pooling-for-link-prediction-2008.10858</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lowfer-low-rank-bilinear-pooling-for-link-prediction-2008.10858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lowfer-low-rank-bilinear-pooling-for-link-prediction-2008.10858"/></url>
<url><loc>https://scifaro.com/en/abs/t-soft-update-of-target-network-for-deep-reinforcement-learning-2008.10861</loc><lastmod>2021-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/t-soft-update-of-target-network-for-deep-reinforcement-learning-2008.10861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/t-soft-update-of-target-network-for-deep-reinforcement-learning-2008.10861"/></url>
<url><loc>https://scifaro.com/en/abs/sensitive-information-detection-recursive-neural-networks-for-encoding-context-2008.10863</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensitive-information-detection-recursive-neural-networks-for-encoding-context-2008.10863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensitive-information-detection-recursive-neural-networks-for-encoding-context-2008.10863"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-use-of-time-dependent-cross-network-information-for-personalized-recommendations-2008.10866</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-use-of-time-dependent-cross-network-information-for-personalized-recommendations-2008.10866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-use-of-time-dependent-cross-network-information-for-personalized-recommendations-2008.10866"/></url>
<url><loc>https://scifaro.com/en/abs/deep-q-learning-theoretical-insights-from-an-asymptotic-analysis-2008.10870</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-q-learning-theoretical-insights-from-an-asymptotic-analysis-2008.10870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-q-learning-theoretical-insights-from-an-asymptotic-analysis-2008.10870"/></url>
<url><loc>https://scifaro.com/en/abs/improving-fair-predictions-using-variational-inference-in-causal-models-2008.10880</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-fair-predictions-using-variational-inference-in-causal-models-2008.10880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-fair-predictions-using-variational-inference-in-causal-models-2008.10880"/></url>
<url><loc>https://scifaro.com/en/abs/page-a-simple-and-optimal-probabilistic-gradient-estimator-for-nonconvex-optimization-2008.10898</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/page-a-simple-and-optimal-probabilistic-gradient-estimator-for-nonconvex-optimization-2008.10898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/page-a-simple-and-optimal-probabilistic-gradient-estimator-for-nonconvex-optimization-2008.10898"/></url>
<url><loc>https://scifaro.com/en/abs/congested-urban-networks-tend-to-be-insensitive-to-signal-settings-implications-for-learning-based-control-2008.10989</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/congested-urban-networks-tend-to-be-insensitive-to-signal-settings-implications-for-learning-based-control-2008.10989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/congested-urban-networks-tend-to-be-insensitive-to-signal-settings-implications-for-learning-based-control-2008.10989"/></url>
<url><loc>https://scifaro.com/en/abs/a-discriminative-technique-for-multiple-source-adaptation-2008.11036</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-discriminative-technique-for-multiple-source-adaptation-2008.11036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-discriminative-technique-for-multiple-source-adaptation-2008.11036"/></url>
<url><loc>https://scifaro.com/en/abs/balanced-activation-for-long-tailed-visual-recognition-2008.11037</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balanced-activation-for-long-tailed-visual-recognition-2008.11037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balanced-activation-for-long-tailed-visual-recognition-2008.11037"/></url>
<url><loc>https://scifaro.com/en/abs/gan-slimming-all-in-one-gan-compression-by-a-unified-optimization-framework-2008.11062</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gan-slimming-all-in-one-gan-compression-by-a-unified-optimization-framework-2008.11062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gan-slimming-all-in-one-gan-compression-by-a-unified-optimization-framework-2008.11062"/></url>
<url><loc>https://scifaro.com/en/abs/auxiliary-task-based-deep-reinforcement-learning-for-participant-selection-problem-in-mobile-crowdsourcing-2008.11087</loc><lastmod>2020-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auxiliary-task-based-deep-reinforcement-learning-for-participant-selection-problem-in-mobile-crowdsourcing-2008.11087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auxiliary-task-based-deep-reinforcement-learning-for-participant-selection-problem-in-mobile-crowdsourcing-2008.11087"/></url>
<url><loc>https://scifaro.com/en/abs/two-sides-of-the-same-coin-white-box-and-black-box-attacks-for-transfer-learning-2008.11089</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-sides-of-the-same-coin-white-box-and-black-box-attacks-for-transfer-learning-2008.11089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-sides-of-the-same-coin-white-box-and-black-box-attacks-for-transfer-learning-2008.11089"/></url>
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<url><loc>https://scifaro.com/en/abs/many-to-one-recurrent-neural-network-for-session-based-recommendation-2008.11136</loc><lastmod>2020-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/many-to-one-recurrent-neural-network-for-session-based-recommendation-2008.11136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/many-to-one-recurrent-neural-network-for-session-based-recommendation-2008.11136"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-applied-in-the-multi-scale-3d-stress-modelling-2008.11244</loc><lastmod>2020-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-applied-in-the-multi-scale-3d-stress-modelling-2008.11244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-applied-in-the-multi-scale-3d-stress-modelling-2008.11244"/></url>
<url><loc>https://scifaro.com/en/abs/an-adversarial-attack-defending-system-for-securing-in-vehicle-networks-2008.11278</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adversarial-attack-defending-system-for-securing-in-vehicle-networks-2008.11278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adversarial-attack-defending-system-for-securing-in-vehicle-networks-2008.11278"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-federated-learning-in-heterogeneous-data-and-computational-environments-2008.11281</loc><lastmod>2020-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-federated-learning-in-heterogeneous-data-and-computational-environments-2008.11281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-federated-learning-in-heterogeneous-data-and-computational-environments-2008.11281"/></url>
<url><loc>https://scifaro.com/en/abs/transductive-information-maximization-for-few-shot-learning-2008.11297</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transductive-information-maximization-for-few-shot-learning-2008.11297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transductive-information-maximization-for-few-shot-learning-2008.11297"/></url>
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<url><loc>https://scifaro.com/en/abs/featgraph-a-flexible-and-efficient-backend-for-graph-neural-network-systems-2008.11359</loc><lastmod>2020-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/featgraph-a-flexible-and-efficient-backend-for-graph-neural-network-systems-2008.11359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/featgraph-a-flexible-and-efficient-backend-for-graph-neural-network-systems-2008.11359"/></url>
<url><loc>https://scifaro.com/en/abs/improving-semi-supervised-federated-learning-by-reducing-the-gradient-diversity-of-models-2008.11364</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-semi-supervised-federated-learning-by-reducing-the-gradient-diversity-of-models-2008.11364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-semi-supervised-federated-learning-by-reducing-the-gradient-diversity-of-models-2008.11364"/></url>
<url><loc>https://scifaro.com/en/abs/gravilon-applications-of-a-new-gradient-descent-method-to-machine-learning-2008.11370</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gravilon-applications-of-a-new-gradient-descent-method-to-machine-learning-2008.11370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gravilon-applications-of-a-new-gradient-descent-method-to-machine-learning-2008.11370"/></url>
<url><loc>https://scifaro.com/en/abs/causal-adversarial-network-for-learning-conditional-and-interventional-distributions-2008.11376</loc><lastmod>2020-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-adversarial-network-for-learning-conditional-and-interventional-distributions-2008.11376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-adversarial-network-for-learning-conditional-and-interventional-distributions-2008.11376"/></url>
<url><loc>https://scifaro.com/en/abs/making-neural-networks-interpretable-with-attribution-application-to-implicit-signals-prediction-2008.11406</loc><lastmod>2020-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-neural-networks-interpretable-with-attribution-application-to-implicit-signals-prediction-2008.11406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-neural-networks-interpretable-with-attribution-application-to-implicit-signals-prediction-2008.11406"/></url>
<url><loc>https://scifaro.com/en/abs/learning-node-representations-against-perturbations-2008.11416</loc><lastmod>2023-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-node-representations-against-perturbations-2008.11416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-node-representations-against-perturbations-2008.11416"/></url>
<url><loc>https://scifaro.com/en/abs/disentangled-adversarial-autoencoder-for-subject-invariant-physiological-feature-extraction-2008.11426</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-adversarial-autoencoder-for-subject-invariant-physiological-feature-extraction-2008.11426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-adversarial-autoencoder-for-subject-invariant-physiological-feature-extraction-2008.11426"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-model-for-field-optimization-using-beta-vae-based-regression-2008.11433</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-model-for-field-optimization-using-beta-vae-based-regression-2008.11433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-model-for-field-optimization-using-beta-vae-based-regression-2008.11433"/></url>
<url><loc>https://scifaro.com/en/abs/training-multimodal-systems-for-classification-with-multiple-objectives-2008.11450</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-multimodal-systems-for-classification-with-multiple-objectives-2008.11450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-multimodal-systems-for-classification-with-multiple-objectives-2008.11450"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-sentiment-analysis-on-100-languages-with-dynamic-weighting-for-label-imbalance-2008.11573</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-sentiment-analysis-on-100-languages-with-dynamic-weighting-for-label-imbalance-2008.11573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-sentiment-analysis-on-100-languages-with-dynamic-weighting-for-label-imbalance-2008.11573"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-deep-machine-learning-algorithms-in-covid-19-disease-diagnosis-2008.11639</loc><lastmod>2020-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-deep-machine-learning-algorithms-in-covid-19-disease-diagnosis-2008.11639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-deep-machine-learning-algorithms-in-covid-19-disease-diagnosis-2008.11639"/></url>
<url><loc>https://scifaro.com/en/abs/hydalearn-highly-dynamic-task-weighting-for-multi-task-learning-with-auxiliary-tasks-2008.11643</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hydalearn-highly-dynamic-task-weighting-for-multi-task-learning-with-auxiliary-tasks-2008.11643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hydalearn-highly-dynamic-task-weighting-for-multi-task-learning-with-auxiliary-tasks-2008.11643"/></url>
<url><loc>https://scifaro.com/en/abs/simplifying-architecture-search-for-graph-neural-network-2008.11652</loc><lastmod>2020-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simplifying-architecture-search-for-graph-neural-network-2008.11652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simplifying-architecture-search-for-graph-neural-network-2008.11652"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-tune-the-rbf-svm-hyperparameters-an-empirical-evaluation-of-18-search-algorithms-2008.11655</loc><lastmod>2020-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-tune-the-rbf-svm-hyperparameters-an-empirical-evaluation-of-18-search-algorithms-2008.11655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-tune-the-rbf-svm-hyperparameters-an-empirical-evaluation-of-18-search-algorithms-2008.11655"/></url>
<url><loc>https://scifaro.com/en/abs/what-is-being-transferred-in-transfer-learning-2008.11687</loc><lastmod>2021-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-is-being-transferred-in-transfer-learning-2008.11687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-is-being-transferred-in-transfer-learning-2008.11687"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-data-driven-optimization-2008.11707</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-data-driven-optimization-2008.11707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-data-driven-optimization-2008.11707"/></url>
<url><loc>https://scifaro.com/en/abs/appropriateness-of-performance-indices-for-imbalanced-data-classification-an-analysis-2008.11752</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/appropriateness-of-performance-indices-for-imbalanced-data-classification-an-analysis-2008.11752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/appropriateness-of-performance-indices-for-imbalanced-data-classification-an-analysis-2008.11752"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-markov-decision-processes-via-backward-value-functions-2008.11811</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-markov-decision-processes-via-backward-value-functions-2008.11811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-markov-decision-processes-via-backward-value-functions-2008.11811"/></url>
<url><loc>https://scifaro.com/en/abs/auxiliary-network-scalable-and-agile-online-learning-for-dynamic-system-with-inconsistently-available-inputs-2008.11828</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auxiliary-network-scalable-and-agile-online-learning-for-dynamic-system-with-inconsistently-available-inputs-2008.11828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auxiliary-network-scalable-and-agile-online-learning-for-dynamic-system-with-inconsistently-available-inputs-2008.11828"/></url>
<url><loc>https://scifaro.com/en/abs/designing-neural-networks-for-real-time-systems-2008.11830</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-neural-networks-for-real-time-systems-2008.11830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-neural-networks-for-real-time-systems-2008.11830"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-neural-network-based-approximation-to-accelerate-eulerian-fluid-simulation-2008.11832</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-neural-network-based-approximation-to-accelerate-eulerian-fluid-simulation-2008.11832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-neural-network-based-approximation-to-accelerate-eulerian-fluid-simulation-2008.11832"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-assisted-methods-for-the-parameterisation-of-agent-based-models-2008.11835</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-assisted-methods-for-the-parameterisation-of-agent-based-models-2008.11835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-assisted-methods-for-the-parameterisation-of-agent-based-models-2008.11835"/></url>
<url><loc>https://scifaro.com/en/abs/nasirt-automl-based-learning-with-instance-level-complexity-information-2008.11846</loc><lastmod>2020-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nasirt-automl-based-learning-with-instance-level-complexity-information-2008.11846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nasirt-automl-based-learning-with-instance-level-complexity-information-2008.11846"/></url>
<url><loc>https://scifaro.com/en/abs/sparsert-accelerating-unstructured-sparsity-on-gpus-for-deep-learning-inference-2008.11849</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsert-accelerating-unstructured-sparsity-on-gpus-for-deep-learning-inference-2008.11849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsert-accelerating-unstructured-sparsity-on-gpus-for-deep-learning-inference-2008.11849"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-deep-neural-networks-to-infer-state-models-of-black-box-systems-2008.11856</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-deep-neural-networks-to-infer-state-models-of-black-box-systems-2008.11856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-deep-neural-networks-to-infer-state-models-of-black-box-systems-2008.11856"/></url>
<url><loc>https://scifaro.com/en/abs/traces-of-class-cross-class-structure-pervade-deep-learning-spectra-2008.11865</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/traces-of-class-cross-class-structure-pervade-deep-learning-spectra-2008.11865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/traces-of-class-cross-class-structure-pervade-deep-learning-spectra-2008.11865"/></url>
<url><loc>https://scifaro.com/en/abs/a-benchmark-of-data-stream-classification-for-human-activity-recognition-on-connected-objects-2008.11880</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-benchmark-of-data-stream-classification-for-human-activity-recognition-on-connected-objects-2008.11880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-benchmark-of-data-stream-classification-for-human-activity-recognition-on-connected-objects-2008.11880"/></url>
<url><loc>https://scifaro.com/en/abs/a-consistent-diffusion-based-algorithm-for-semi-supervised-classification-on-graphs-2008.11944</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-consistent-diffusion-based-algorithm-for-semi-supervised-classification-on-graphs-2008.11944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-consistent-diffusion-based-algorithm-for-semi-supervised-classification-on-graphs-2008.11944"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-learning-for-cardiovascular-risk-prediction-using-ehr-data-2008.11979</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-learning-for-cardiovascular-risk-prediction-using-ehr-data-2008.11979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-learning-for-cardiovascular-risk-prediction-using-ehr-data-2008.11979"/></url>
<url><loc>https://scifaro.com/en/abs/neural-learning-of-one-of-many-solutions-for-combinatorial-problems-in-structured-output-spaces-2008.11990</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-learning-of-one-of-many-solutions-for-combinatorial-problems-in-structured-output-spaces-2008.11990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-learning-of-one-of-many-solutions-for-combinatorial-problems-in-structured-output-spaces-2008.11990"/></url>
<url><loc>https://scifaro.com/en/abs/autofs-automated-feature-selection-via-diversity-aware-interactive-reinforcement-learning-2008.12001</loc><lastmod>2020-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autofs-automated-feature-selection-via-diversity-aware-interactive-reinforcement-learning-2008.12001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autofs-automated-feature-selection-via-diversity-aware-interactive-reinforcement-learning-2008.12001"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-conversions-in-display-advertising-based-on-url-embeddings-2008.12003</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-conversions-in-display-advertising-based-on-url-embeddings-2008.12003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-conversions-in-display-advertising-based-on-url-embeddings-2008.12003"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-from-high-dimensional-data-with-very-low-sample-size-a-cautionary-tale-2008.12025</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-from-high-dimensional-data-with-very-low-sample-size-a-cautionary-tale-2008.12025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-from-high-dimensional-data-with-very-low-sample-size-a-cautionary-tale-2008.12025"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-with-shared-amortized-variational-inference-2008.12037</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-with-shared-amortized-variational-inference-2008.12037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-with-shared-amortized-variational-inference-2008.12037"/></url>
<url><loc>https://scifaro.com/en/abs/propensity-to-pay-machine-learning-for-estimating-prediction-uncertainty-2008.12065</loc><lastmod>2025-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/propensity-to-pay-machine-learning-for-estimating-prediction-uncertainty-2008.12065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/propensity-to-pay-machine-learning-for-estimating-prediction-uncertainty-2008.12065"/></url>
<url><loc>https://scifaro.com/en/abs/deepfolio-convolutional-neural-networks-for-portfolios-with-limit-order-book-data-2008.12152</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepfolio-convolutional-neural-networks-for-portfolios-with-limit-order-book-data-2008.12152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepfolio-convolutional-neural-networks-for-portfolios-with-limit-order-book-data-2008.12152"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-fairness-in-federated-learning-2008.12161</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-fairness-in-federated-learning-2008.12161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-fairness-in-federated-learning-2008.12161"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-network-architecture-search-for-molecular-property-prediction-2008.12187</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-network-architecture-search-for-molecular-property-prediction-2008.12187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-network-architecture-search-for-molecular-property-prediction-2008.12187"/></url>
<url><loc>https://scifaro.com/en/abs/local-error-quantification-for-neural-network-differential-equation-solvers-2008.12190</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-error-quantification-for-neural-network-differential-equation-solvers-2008.12190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-error-quantification-for-neural-network-differential-equation-solvers-2008.12190"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-detecting-convergence-for-stochastic-gradient-descent-with-momentum-2008.12224</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-detecting-convergence-for-stochastic-gradient-descent-with-momentum-2008.12224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-detecting-convergence-for-stochastic-gradient-descent-with-momentum-2008.12224"/></url>
<url><loc>https://scifaro.com/en/abs/bracketing-brackets-with-bras-and-kets-2008.12247</loc><lastmod>2020-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bracketing-brackets-with-bras-and-kets-2008.12247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bracketing-brackets-with-bras-and-kets-2008.12247"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-reinforcement-learning-for-combinatorial-optimization-2008.12248</loc><lastmod>2023-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-reinforcement-learning-for-combinatorial-optimization-2008.12248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-reinforcement-learning-for-combinatorial-optimization-2008.12248"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-profile-user-meta-profile-network-for-few-shot-learning-2008.12258</loc><lastmod>2020-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-profile-user-meta-profile-network-for-few-shot-learning-2008.12258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-profile-user-meta-profile-network-for-few-shot-learning-2008.12258"/></url>
<url><loc>https://scifaro.com/en/abs/every-query-counts-analyzing-the-privacy-loss-of-exploratory-data-analyses-2008.12282</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/every-query-counts-analyzing-the-privacy-loss-of-exploratory-data-analyses-2008.12282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/every-query-counts-analyzing-the-privacy-loss-of-exploratory-data-analyses-2008.12282"/></url>
<url><loc>https://scifaro.com/en/abs/learn2learn-a-library-for-meta-learning-research-2008.12284</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn2learn-a-library-for-meta-learning-research-2008.12284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn2learn-a-library-for-meta-learning-research-2008.12284"/></url>
<url><loc>https://scifaro.com/en/abs/certainty-equivalent-perception-based-control-2008.12332</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certainty-equivalent-perception-based-control-2008.12332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certainty-equivalent-perception-based-control-2008.12332"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-level-of-unconsciousness-by-titrating-propofol-with-deep-reinforcement-learning-2008.12333</loc><lastmod>2020-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-level-of-unconsciousness-by-titrating-propofol-with-deep-reinforcement-learning-2008.12333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-level-of-unconsciousness-by-titrating-propofol-with-deep-reinforcement-learning-2008.12333"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-and-robust-bert-based-dialogue-state-tracker-for-schema-guided-dialogue-dataset-2008.12335</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-and-robust-bert-based-dialogue-state-tracker-for-schema-guided-dialogue-dataset-2008.12335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-and-robust-bert-based-dialogue-state-tracker-for-schema-guided-dialogue-dataset-2008.12335"/></url>
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<url><loc>https://scifaro.com/en/abs/forecasting-with-multiple-seasonality-2008.12340</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-with-multiple-seasonality-2008.12340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-with-multiple-seasonality-2008.12340"/></url>
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<url><loc>https://scifaro.com/en/abs/an-intelligent-cnn-vae-text-representation-technology-based-on-text-semantics-for-comprehensive-big-data-2008.12522</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-intelligent-cnn-vae-text-representation-technology-based-on-text-semantics-for-comprehensive-big-data-2008.12522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-intelligent-cnn-vae-text-representation-technology-based-on-text-semantics-for-comprehensive-big-data-2008.12522"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-regularized-wasserstein-barycenters-2008.12534</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-regularized-wasserstein-barycenters-2008.12534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-regularized-wasserstein-barycenters-2008.12534"/></url>
<url><loc>https://scifaro.com/en/abs/the-uu-test-for-statistical-modeling-of-unimodal-data-2008.12537</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-uu-test-for-statistical-modeling-of-unimodal-data-2008.12537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-uu-test-for-statistical-modeling-of-unimodal-data-2008.12537"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-random-indexing-for-continuous-event-detection-2008.12552</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-random-indexing-for-continuous-event-detection-2008.12552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-random-indexing-for-continuous-event-detection-2008.12552"/></url>
<url><loc>https://scifaro.com/en/abs/fast-partial-fourier-transform-2008.12559</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-partial-fourier-transform-2008.12559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-partial-fourier-transform-2008.12559"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-deep-learning-ensemble-to-automate-the-classification-of-breast-cancer-pathology-reports-by-icd-o-topography-2008.12571</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-deep-learning-ensemble-to-automate-the-classification-of-breast-cancer-pathology-reports-by-icd-o-topography-2008.12571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-deep-learning-ensemble-to-automate-the-classification-of-breast-cancer-pathology-reports-by-icd-o-topography-2008.12571"/></url>
<url><loc>https://scifaro.com/en/abs/graph-convolutional-neural-networks-with-node-transition-probability-based-message-passing-and-dropnode-regularization-2008.12578</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-convolutional-neural-networks-with-node-transition-probability-based-message-passing-and-dropnode-regularization-2008.12578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-convolutional-neural-networks-with-node-transition-probability-based-message-passing-and-dropnode-regularization-2008.12578"/></url>
<url><loc>https://scifaro.com/en/abs/dynamical-variational-autoencoders-a-comprehensive-review-2008.12595</loc><lastmod>2022-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamical-variational-autoencoders-a-comprehensive-review-2008.12595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamical-variational-autoencoders-a-comprehensive-review-2008.12595"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-the-gap-machine-learning-to-resolve-improperly-modeled-dynamics-2008.12642</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-the-gap-machine-learning-to-resolve-improperly-modeled-dynamics-2008.12642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-the-gap-machine-learning-to-resolve-improperly-modeled-dynamics-2008.12642"/></url>
<url><loc>https://scifaro.com/en/abs/graph-learning-for-combinatorial-optimization-a-survey-of-state-of-the-art-2008.12646</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-learning-for-combinatorial-optimization-a-survey-of-state-of-the-art-2008.12646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-learning-for-combinatorial-optimization-a-survey-of-state-of-the-art-2008.12646"/></url>
<url><loc>https://scifaro.com/en/abs/adail-adaptive-adversarial-imitation-learning-2008.12647</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adail-adaptive-adversarial-imitation-learning-2008.12647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adail-adaptive-adversarial-imitation-learning-2008.12647"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-of-deep-surrogates-for-pdes-application-to-metasurface-design-2008.12649</loc><lastmod>2020-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-of-deep-surrogates-for-pdes-application-to-metasurface-design-2008.12649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-of-deep-surrogates-for-pdes-application-to-metasurface-design-2008.12649"/></url>
<url><loc>https://scifaro.com/en/abs/are-deep-neural-networks-robust-2008.12650</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-deep-neural-networks-robust-2008.12650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-deep-neural-networks-robust-2008.12650"/></url>
<url><loc>https://scifaro.com/en/abs/self-organizing-map-assisted-deep-autoencoding-gaussian-mixture-model-for-intrusion-detection-2008.12686</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-organizing-map-assisted-deep-autoencoding-gaussian-mixture-model-for-intrusion-detection-2008.12686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-organizing-map-assisted-deep-autoencoding-gaussian-mixture-model-for-intrusion-detection-2008.12686"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficiency-in-sparse-reinforcement-learning-or-your-money-back-2008.12693</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficiency-in-sparse-reinforcement-learning-or-your-money-back-2008.12693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficiency-in-sparse-reinforcement-learning-or-your-money-back-2008.12693"/></url>
<url><loc>https://scifaro.com/en/abs/rkt-relation-aware-self-attention-for-knowledge-tracing-2008.12736</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rkt-relation-aware-self-attention-for-knowledge-tracing-2008.12736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rkt-relation-aware-self-attention-for-knowledge-tracing-2008.12736"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-graph-neural-network-for-traffic-forecasting-in-wide-area-networks-2008.12767</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-graph-neural-network-for-traffic-forecasting-in-wide-area-networks-2008.12767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-graph-neural-network-for-traffic-forecasting-in-wide-area-networks-2008.12767"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-model-based-stochastic-value-gradient-for-continuous-reinforcement-learning-2008.12775</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-model-based-stochastic-value-gradient-for-continuous-reinforcement-learning-2008.12775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-model-based-stochastic-value-gradient-for-continuous-reinforcement-learning-2008.12775"/></url>
<url><loc>https://scifaro.com/en/abs/efficiently-solving-mdps-with-stochastic-mirror-descent-2008.12776</loc><lastmod>2020-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiently-solving-mdps-with-stochastic-mirror-descent-2008.12776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiently-solving-mdps-with-stochastic-mirror-descent-2008.12776"/></url>
<url><loc>https://scifaro.com/en/abs/coral-code-representation-learning-with-weakly-supervised-transformers-for-analyzing-data-analysis-2008.12828</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coral-code-representation-learning-with-weakly-supervised-transformers-for-analyzing-data-analysis-2008.12828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coral-code-representation-learning-with-weakly-supervised-transformers-for-analyzing-data-analysis-2008.12828"/></url>
<url><loc>https://scifaro.com/en/abs/a-rigorous-machine-learning-analysis-pipeline-for-biomedical-binary-classification-application-in-pancreatic-cancer-nested-case-control-studies-with-implications-for-bias-assessments-2008.12829</loc><lastmod>2020-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-rigorous-machine-learning-analysis-pipeline-for-biomedical-binary-classification-application-in-pancreatic-cancer-nested-case-control-studies-with-implications-for-bias-assessments-2008.12829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-rigorous-machine-learning-analysis-pipeline-for-biomedical-binary-classification-application-in-pancreatic-cancer-nested-case-control-studies-with-implications-for-bias-assessments-2008.12829"/></url>
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<url><loc>https://scifaro.com/en/abs/new-feature-for-complex-network-based-on-ant-colony-optimization-for-high-level-classification-2008.12884</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-feature-for-complex-network-based-on-ant-colony-optimization-for-high-level-classification-2008.12884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-feature-for-complex-network-based-on-ant-colony-optimization-for-high-level-classification-2008.12884"/></url>
<url><loc>https://scifaro.com/en/abs/graffl-gradient-free-federated-learning-of-a-bayesian-generative-model-2008.12925</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graffl-gradient-free-federated-learning-of-a-bayesian-generative-model-2008.12925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graffl-gradient-free-federated-learning-of-a-bayesian-generative-model-2008.12925"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-robustness-certificates-for-discrete-data-sparsity-aware-randomized-smoothing-for-graphs-images-and-more-2008.12952</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-robustness-certificates-for-discrete-data-sparsity-aware-randomized-smoothing-for-graphs-images-and-more-2008.12952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-robustness-certificates-for-discrete-data-sparsity-aware-randomized-smoothing-for-graphs-images-and-more-2008.12952"/></url>
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<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-feedback-modulated-td-stdp-2008.13044</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-feedback-modulated-td-stdp-2008.13044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-feedback-modulated-td-stdp-2008.13044"/></url>
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<url><loc>https://scifaro.com/en/abs/adversarial-privacy-preserving-graph-embedding-against-inference-attack-2008.13072</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-privacy-preserving-graph-embedding-against-inference-attack-2008.13072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-privacy-preserving-graph-embedding-against-inference-attack-2008.13072"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-multiple-ensemble-learning-models-based-on-different-datasets-for-software-defect-prediction-2008.13114</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-multiple-ensemble-learning-models-based-on-different-datasets-for-software-defect-prediction-2008.13114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-multiple-ensemble-learning-models-based-on-different-datasets-for-software-defect-prediction-2008.13114"/></url>
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<url><loc>https://scifaro.com/en/abs/optimal-quantization-for-batch-normalization-in-neural-network-deployments-and-beyond-2008.13128</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-quantization-for-batch-normalization-in-neural-network-deployments-and-beyond-2008.13128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-quantization-for-batch-normalization-in-neural-network-deployments-and-beyond-2008.13128"/></url>
<url><loc>https://scifaro.com/en/abs/mementoml-performance-of-selected-machine-learning-algorithm-configurations-on-openml100-datasets-2008.13162</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mementoml-performance-of-selected-machine-learning-algorithm-configurations-on-openml100-datasets-2008.13162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mementoml-performance-of-selected-machine-learning-algorithm-configurations-on-openml100-datasets-2008.13162"/></url>
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<url><loc>https://scifaro.com/en/abs/an-objective-for-hierarchical-clustering-in-euclidean-space-and-its-connection-to-bisecting-k-means-2008.13235</loc><lastmod>2020-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-objective-for-hierarchical-clustering-in-euclidean-space-and-its-connection-to-bisecting-k-means-2008.13235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-objective-for-hierarchical-clustering-in-euclidean-space-and-its-connection-to-bisecting-k-means-2008.13235"/></url>
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<url><loc>https://scifaro.com/en/abs/sharp-finite-sample-concentration-of-independent-variables-2008.13293</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharp-finite-sample-concentration-of-independent-variables-2008.13293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharp-finite-sample-concentration-of-independent-variables-2008.13293"/></url>
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<url><loc>https://scifaro.com/en/abs/leveraging-multi-level-dependency-of-relational-sequences-for-social-spammer-detection-2009.06231</loc><lastmod>2020-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-multi-level-dependency-of-relational-sequences-for-social-spammer-detection-2009.06231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-multi-level-dependency-of-relational-sequences-for-social-spammer-detection-2009.06231"/></url>
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<url><loc>https://scifaro.com/en/abs/learned-low-precision-graph-neural-networks-2009.09232</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learned-low-precision-graph-neural-networks-2009.09232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learned-low-precision-graph-neural-networks-2009.09232"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-experts-an-efficient-optimal-mixture-of-learning-systems-in-dynamic-environments-2009.09249</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-experts-an-efficient-optimal-mixture-of-learning-systems-in-dynamic-environments-2009.09249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-experts-an-efficient-optimal-mixture-of-learning-systems-in-dynamic-environments-2009.09249"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-communication-for-training-deep-networks-2009.09271</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-communication-for-training-deep-networks-2009.09271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-communication-for-training-deep-networks-2009.09271"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-certification-of-spatial-robustness-2009.09318</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-certification-of-spatial-robustness-2009.09318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-certification-of-spatial-robustness-2009.09318"/></url>
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<url><loc>https://scifaro.com/en/abs/multiplayer-support-for-the-arcade-learning-environment-2009.09341</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiplayer-support-for-the-arcade-learning-environment-2009.09341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiplayer-support-for-the-arcade-learning-environment-2009.09341"/></url>
<url><loc>https://scifaro.com/en/abs/torchdyn-a-neural-differential-equations-library-2009.09346</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/torchdyn-a-neural-differential-equations-library-2009.09346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/torchdyn-a-neural-differential-equations-library-2009.09346"/></url>
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<url><loc>https://scifaro.com/en/abs/interactive-steering-of-hierarchical-clustering-2009.09618</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interactive-steering-of-hierarchical-clustering-2009.09618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interactive-steering-of-hierarchical-clustering-2009.09618"/></url>
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<url><loc>https://scifaro.com/en/abs/curie-a-cellular-automaton-for-concept-drift-detection-2009.09677</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curie-a-cellular-automaton-for-concept-drift-detection-2009.09677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curie-a-cellular-automaton-for-concept-drift-detection-2009.09677"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-clustering-2009.09687</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-clustering-2009.09687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-clustering-2009.09687"/></url>
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<url><loc>https://scifaro.com/en/abs/a-survey-on-machine-learning-applied-to-dynamic-physical-systems-2009.09719</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-machine-learning-applied-to-dynamic-physical-systems-2009.09719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-machine-learning-applied-to-dynamic-physical-systems-2009.09719"/></url>
<url><loc>https://scifaro.com/en/abs/machine-guides-human-supervises-interactive-learning-with-global-explanations-2009.09723</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-guides-human-supervises-interactive-learning-with-global-explanations-2009.09723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-guides-human-supervises-interactive-learning-with-global-explanations-2009.09723"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-hybrid-model-for-recommendation-systems-2009.09748</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-hybrid-model-for-recommendation-systems-2009.09748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-hybrid-model-for-recommendation-systems-2009.09748"/></url>
<url><loc>https://scifaro.com/en/abs/demand-prediction-using-machine-learning-methods-and-stacked-generalization-2009.09756</loc><lastmod>2022-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demand-prediction-using-machine-learning-methods-and-stacked-generalization-2009.09756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demand-prediction-using-machine-learning-methods-and-stacked-generalization-2009.09756"/></url>
<url><loc>https://scifaro.com/en/abs/target-conditioning-for-one-to-many-generation-2009.09758</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/target-conditioning-for-one-to-many-generation-2009.09758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/target-conditioning-for-one-to-many-generation-2009.09758"/></url>
<url><loc>https://scifaro.com/en/abs/ranky-an-approach-to-solve-distributed-svd-on-large-sparse-matrices-2009.09767</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranky-an-approach-to-solve-distributed-svd-on-large-sparse-matrices-2009.09767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranky-an-approach-to-solve-distributed-svd-on-large-sparse-matrices-2009.09767"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-with-deep-neural-networks-a-survey-2009.09796</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-with-deep-neural-networks-a-survey-2009.09796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-with-deep-neural-networks-a-survey-2009.09796"/></url>
<url><loc>https://scifaro.com/en/abs/defending-against-substitute-model-black-box-adversarial-attacks-with-the-01-loss-2009.09803</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defending-against-substitute-model-black-box-adversarial-attacks-with-the-01-loss-2009.09803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defending-against-substitute-model-black-box-adversarial-attacks-with-the-01-loss-2009.09803"/></url>
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<url><loc>https://scifaro.com/en/abs/latent-state-inference-in-a-spatiotemporal-generative-model-2009.09823</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-state-inference-in-a-spatiotemporal-generative-model-2009.09823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-state-inference-in-a-spatiotemporal-generative-model-2009.09823"/></url>
<url><loc>https://scifaro.com/en/abs/radiologist-level-performance-by-using-deep-learning-for-segmentation-of-breast-cancers-on-mri-scans-2009.09827</loc><lastmod>2022-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/radiologist-level-performance-by-using-deep-learning-for-segmentation-of-breast-cancers-on-mri-scans-2009.09827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/radiologist-level-performance-by-using-deep-learning-for-segmentation-of-breast-cancers-on-mri-scans-2009.09827"/></url>
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<url><loc>https://scifaro.com/en/abs/hybrid-stochastic-deterministic-minibatch-proximal-gradient-less-than-single-pass-optimization-with-nearly-optimal-generalization-2009.09835</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-stochastic-deterministic-minibatch-proximal-gradient-less-than-single-pass-optimization-with-nearly-optimal-generalization-2009.09835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-stochastic-deterministic-minibatch-proximal-gradient-less-than-single-pass-optimization-with-nearly-optimal-generalization-2009.09835"/></url>
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<url><loc>https://scifaro.com/en/abs/energy-based-surprise-minimization-for-multi-agent-value-factorization-2009.09842</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-based-surprise-minimization-for-multi-agent-value-factorization-2009.09842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-based-surprise-minimization-for-multi-agent-value-factorization-2009.09842"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-hybrid-graph-convolutional-network-for-traffic-forecasting-in-telecommunication-networks-2009.09849</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-hybrid-graph-convolutional-network-for-traffic-forecasting-in-telecommunication-networks-2009.09849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-hybrid-graph-convolutional-network-for-traffic-forecasting-in-telecommunication-networks-2009.09849"/></url>
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<url><loc>https://scifaro.com/en/abs/feature-distillation-with-guided-adversarial-contrastive-learning-2009.09922</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-distillation-with-guided-adversarial-contrastive-learning-2009.09922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-distillation-with-guided-adversarial-contrastive-learning-2009.09922"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-multi-layer-k-means-g-mlkm-for-sensory-pattern-analysis-in-constrained-spaces-2009.09925</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-multi-layer-k-means-g-mlkm-for-sensory-pattern-analysis-in-constrained-spaces-2009.09925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-multi-layer-k-means-g-mlkm-for-sensory-pattern-analysis-in-constrained-spaces-2009.09925"/></url>
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<url><loc>https://scifaro.com/en/abs/kernel-based-smoothness-analysis-of-residual-networks-2009.10008</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-smoothness-analysis-of-residual-networks-2009.10008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-smoothness-analysis-of-residual-networks-2009.10008"/></url>
<url><loc>https://scifaro.com/en/abs/from-static-to-dynamic-node-embeddings-2009.10017</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-static-to-dynamic-node-embeddings-2009.10017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-static-to-dynamic-node-embeddings-2009.10017"/></url>
<url><loc>https://scifaro.com/en/abs/training-production-language-models-without-memorizing-user-data-2009.10031</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-production-language-models-without-memorizing-user-data-2009.10031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-production-language-models-without-memorizing-user-data-2009.10031"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-based-forecasting-of-significant-daily-returns-in-foreign-exchange-markets-2009.10065</loc><lastmod>2020-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-based-forecasting-of-significant-daily-returns-in-foreign-exchange-markets-2009.10065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-based-forecasting-of-significant-daily-returns-in-foreign-exchange-markets-2009.10065"/></url>
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<url><loc>https://scifaro.com/en/abs/deepvir-graphical-deep-matrix-factorization-for-in-silico-antiviral-repositioning-application-to-covid-19-2009.10333</loc><lastmod>2020-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepvir-graphical-deep-matrix-factorization-for-in-silico-antiviral-repositioning-application-to-covid-19-2009.10333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepvir-graphical-deep-matrix-factorization-for-in-silico-antiviral-repositioning-application-to-covid-19-2009.10333"/></url>
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<url><loc>https://scifaro.com/en/abs/gamma-distribution-based-sampling-for-imbalanced-data-2009.10343</loc><lastmod>2020-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gamma-distribution-based-sampling-for-imbalanced-data-2009.10343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gamma-distribution-based-sampling-for-imbalanced-data-2009.10343"/></url>
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<url><loc>https://scifaro.com/en/abs/ps8-net-a-deep-convolutional-neural-network-to-predict-the-eight-state-protein-secondary-structure-2009.10380</loc><lastmod>2020-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ps8-net-a-deep-convolutional-neural-network-to-predict-the-eight-state-protein-secondary-structure-2009.10380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ps8-net-a-deep-convolutional-neural-network-to-predict-the-eight-state-protein-secondary-structure-2009.10380"/></url>
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<url><loc>https://scifaro.com/en/abs/towards-a-mathematical-understanding-of-neural-network-based-machine-learning-what-we-know-and-what-we-don-t-2009.10713</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-mathematical-understanding-of-neural-network-based-machine-learning-what-we-know-and-what-we-don-t-2009.10713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-mathematical-understanding-of-neural-network-based-machine-learning-what-we-know-and-what-we-don-t-2009.10713"/></url>
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<url><loc>https://scifaro.com/en/abs/tasks-stability-architecture-and-compute-training-more-effective-learned-optimizers-and-using-them-to-train-themselves-2009.11243</loc><lastmod>2020-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tasks-stability-architecture-and-compute-training-more-effective-learned-optimizers-and-using-them-to-train-themselves-2009.11243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tasks-stability-architecture-and-compute-training-more-effective-learned-optimizers-and-using-them-to-train-themselves-2009.11243"/></url>
<url><loc>https://scifaro.com/en/abs/fuzzy-simplicial-networks-a-topology-inspired-model-to-improve-task-generalization-in-few-shot-learning-2009.11253</loc><lastmod>2020-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fuzzy-simplicial-networks-a-topology-inspired-model-to-improve-task-generalization-in-few-shot-learning-2009.11253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fuzzy-simplicial-networks-a-topology-inspired-model-to-improve-task-generalization-in-few-shot-learning-2009.11253"/></url>
<url><loc>https://scifaro.com/en/abs/cache-replacement-as-a-mab-with-delayed-feedback-and-decaying-costs-2009.11330</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cache-replacement-as-a-mab-with-delayed-feedback-and-decaying-costs-2009.11330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cache-replacement-as-a-mab-with-delayed-feedback-and-decaying-costs-2009.11330"/></url>
<url><loc>https://scifaro.com/en/abs/dataset-optimization-strategies-for-malwaretraffic-detection-2009.11347</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dataset-optimization-strategies-for-malwaretraffic-detection-2009.11347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dataset-optimization-strategies-for-malwaretraffic-detection-2009.11347"/></url>
<url><loc>https://scifaro.com/en/abs/a-sample-efficient-algorithm-for-episodic-finite-horizon-mdp-with-constraints-2009.11348</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sample-efficient-algorithm-for-episodic-finite-horizon-mdp-with-constraints-2009.11348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sample-efficient-algorithm-for-episodic-finite-horizon-mdp-with-constraints-2009.11348"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-via-stochastic-regularization-of-neural-activation-sensitivity-2009.11349</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-via-stochastic-regularization-of-neural-activation-sensitivity-2009.11349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-via-stochastic-regularization-of-neural-activation-sensitivity-2009.11349"/></url>
<url><loc>https://scifaro.com/en/abs/higher-order-spectral-clustering-for-geometric-graphs-2009.11353</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higher-order-spectral-clustering-for-geometric-graphs-2009.11353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higher-order-spectral-clustering-for-geometric-graphs-2009.11353"/></url>
<url><loc>https://scifaro.com/en/abs/structure-aware-negative-sampling-in-knowledge-graphs-2009.11355</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-aware-negative-sampling-in-knowledge-graphs-2009.11355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-aware-negative-sampling-in-knowledge-graphs-2009.11355"/></url>
<url><loc>https://scifaro.com/en/abs/epem-efficient-parameter-estimation-for-multiple-class-monotone-missing-data-2009.11360</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/epem-efficient-parameter-estimation-for-multiple-class-monotone-missing-data-2009.11360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/epem-efficient-parameter-estimation-for-multiple-class-monotone-missing-data-2009.11360"/></url>
<url><loc>https://scifaro.com/en/abs/detection-of-iterative-adversarial-attacks-via-counter-attack-2009.11397</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-of-iterative-adversarial-attacks-via-counter-attack-2009.11397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-of-iterative-adversarial-attacks-via-counter-attack-2009.11397"/></url>
<url><loc>https://scifaro.com/en/abs/rank-based-multi-task-learning-for-fair-regression-2009.11405</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-based-multi-task-learning-for-fair-regression-2009.11405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-based-multi-task-learning-for-fair-regression-2009.11405"/></url>
<url><loc>https://scifaro.com/en/abs/unfairness-discovery-and-prevention-for-few-shot-regression-2009.11406</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unfairness-discovery-and-prevention-for-few-shot-regression-2009.11406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unfairness-discovery-and-prevention-for-few-shot-regression-2009.11406"/></url>
<url><loc>https://scifaro.com/en/abs/steering-a-historical-disease-forecasting-model-under-a-pandemic-case-of-flu-and-covid-19-2009.11407</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/steering-a-historical-disease-forecasting-model-under-a-pandemic-case-of-flu-and-covid-19-2009.11407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/steering-a-historical-disease-forecasting-model-under-a-pandemic-case-of-flu-and-covid-19-2009.11407"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-mixup-based-semi-supervised-learning-with-explicit-lipschitz-regularization-2009.11416</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-mixup-based-semi-supervised-learning-with-explicit-lipschitz-regularization-2009.11416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-mixup-based-semi-supervised-learning-with-explicit-lipschitz-regularization-2009.11416"/></url>
<url><loc>https://scifaro.com/en/abs/neurocoder-learning-general-purpose-computation-using-stored-neural-programs-2009.11443</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neurocoder-learning-general-purpose-computation-using-stored-neural-programs-2009.11443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neurocoder-learning-general-purpose-computation-using-stored-neural-programs-2009.11443"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-graph-convolutional-network-on-semi-supervised-node-classification-from-an-optimization-perspective-2009.11469</loc><lastmod>2020-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-graph-convolutional-network-on-semi-supervised-node-classification-from-an-optimization-perspective-2009.11469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-graph-convolutional-network-on-semi-supervised-node-classification-from-an-optimization-perspective-2009.11469"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-analysis-of-the-advantage-of-deepening-neural-networks-2009.11479</loc><lastmod>2024-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-analysis-of-the-advantage-of-deepening-neural-networks-2009.11479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-analysis-of-the-advantage-of-deepening-neural-networks-2009.11479"/></url>
<url><loc>https://scifaro.com/en/abs/improving-query-efficiency-of-black-box-adversarial-attack-2009.11508</loc><lastmod>2020-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-query-efficiency-of-black-box-adversarial-attack-2009.11508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-query-efficiency-of-black-box-adversarial-attack-2009.11508"/></url>
<url><loc>https://scifaro.com/en/abs/epne-evolutionary-pattern-preserving-network-embedding-2009.11510</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/epne-evolutionary-pattern-preserving-network-embedding-2009.11510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/epne-evolutionary-pattern-preserving-network-embedding-2009.11510"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-algorithms-for-delivery-time-prediction-in-transportation-logistics-2009.11598</loc><lastmod>2022-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-algorithms-for-delivery-time-prediction-in-transportation-logistics-2009.11598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-algorithms-for-delivery-time-prediction-in-transportation-logistics-2009.11598"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-based-on-graph-of-density-topology-2009.11612</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-based-on-graph-of-density-topology-2009.11612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-based-on-graph-of-density-topology-2009.11612"/></url>
<url><loc>https://scifaro.com/en/abs/legally-grounded-fairness-objectives-2009.11677</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/legally-grounded-fairness-objectives-2009.11677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/legally-grounded-fairness-objectives-2009.11677"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-transfer-learning-via-secure-maximum-mean-discrepancy-2009.11680</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-transfer-learning-via-secure-maximum-mean-discrepancy-2009.11680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-transfer-learning-via-secure-maximum-mean-discrepancy-2009.11680"/></url>
<url><loc>https://scifaro.com/en/abs/a-variational-auto-encoder-for-reservoir-monitoring-2009.11693</loc><lastmod>2020-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variational-auto-encoder-for-reservoir-monitoring-2009.11693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variational-auto-encoder-for-reservoir-monitoring-2009.11693"/></url>
<url><loc>https://scifaro.com/en/abs/compressed-imitation-learning-2009.11697</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressed-imitation-learning-2009.11697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressed-imitation-learning-2009.11697"/></url>
<url><loc>https://scifaro.com/en/abs/principles-and-practice-of-explainable-machine-learning-2009.11698</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principles-and-practice-of-explainable-machine-learning-2009.11698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principles-and-practice-of-explainable-machine-learning-2009.11698"/></url>
<url><loc>https://scifaro.com/en/abs/gated-res2net-for-multivariate-time-series-analysis-2009.11705</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gated-res2net-for-multivariate-time-series-analysis-2009.11705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gated-res2net-for-multivariate-time-series-analysis-2009.11705"/></url>
<url><loc>https://scifaro.com/en/abs/a-rigorous-link-between-self-organizing-maps-and-gaussian-mixture-models-2009.11710</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-rigorous-link-between-self-organizing-maps-and-gaussian-mixture-models-2009.11710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-rigorous-link-between-self-organizing-maps-and-gaussian-mixture-models-2009.11710"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-with-short-circuits-for-improved-gradient-learning-2009.11719</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-with-short-circuits-for-improved-gradient-learning-2009.11719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-with-short-circuits-for-improved-gradient-learning-2009.11719"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-and-boosting-dropout-from-a-game-theoretic-view-2009.11729</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-and-boosting-dropout-from-a-game-theoretic-view-2009.11729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-and-boosting-dropout-from-a-game-theoretic-view-2009.11729"/></url>
<url><loc>https://scifaro.com/en/abs/a-unifying-review-of-deep-and-shallow-anomaly-detection-2009.11732</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unifying-review-of-deep-and-shallow-anomaly-detection-2009.11732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unifying-review-of-deep-and-shallow-anomaly-detection-2009.11732"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graph-normalization-for-graph-neural-networks-2009.11746</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graph-normalization-for-graph-neural-networks-2009.11746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graph-normalization-for-graph-neural-networks-2009.11746"/></url>
<url><loc>https://scifaro.com/en/abs/secure-data-sharing-with-flow-model-2009.11762</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secure-data-sharing-with-flow-model-2009.11762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secure-data-sharing-with-flow-model-2009.11762"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-transfer-learning-for-spatiotemporal-predictive-networks-2009.11763</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-transfer-learning-for-spatiotemporal-predictive-networks-2009.11763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-transfer-learning-for-spatiotemporal-predictive-networks-2009.11763"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-noisy-labels-with-a-transductive-semi-supervised-leave-one-out-filter-2009.11811</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-noisy-labels-with-a-transductive-semi-supervised-leave-one-out-filter-2009.11811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-noisy-labels-with-a-transductive-semi-supervised-leave-one-out-filter-2009.11811"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-sequence-classification-through-change-point-detection-2009.11829</loc><lastmod>2020-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-sequence-classification-through-change-point-detection-2009.11829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-sequence-classification-through-change-point-detection-2009.11829"/></url>
<url><loc>https://scifaro.com/en/abs/a-gradient-flow-framework-for-analyzing-network-pruning-2009.11839</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gradient-flow-framework-for-analyzing-network-pruning-2009.11839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gradient-flow-framework-for-analyzing-network-pruning-2009.11839"/></url>
<url><loc>https://scifaro.com/en/abs/how-neural-networks-extrapolate-from-feedforward-to-graph-neural-networks-2009.11848</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-neural-networks-extrapolate-from-feedforward-to-graph-neural-networks-2009.11848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-neural-networks-extrapolate-from-feedforward-to-graph-neural-networks-2009.11848"/></url>
<url><loc>https://scifaro.com/en/abs/how-many-factors-influence-minima-in-sgd-2009.11858</loc><lastmod>2020-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-many-factors-influence-minima-in-sgd-2009.11858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-many-factors-influence-minima-in-sgd-2009.11858"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrapped-q-learning-with-context-relevant-observation-pruning-to-generalize-in-text-based-games-2009.11896</loc><lastmod>2020-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrapped-q-learning-with-context-relevant-observation-pruning-to-generalize-in-text-based-games-2009.11896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrapped-q-learning-with-context-relevant-observation-pruning-to-generalize-in-text-based-games-2009.11896"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-in-deep-learning-for-multivariate-time-series-regression-2009.11911</loc><lastmod>2020-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-in-deep-learning-for-multivariate-time-series-regression-2009.11911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-in-deep-learning-for-multivariate-time-series-regression-2009.11911"/></url>
<url><loc>https://scifaro.com/en/abs/gans-with-variational-entropy-regularizers-applications-in-mitigating-the-mode-collapse-issue-2009.11921</loc><lastmod>2020-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gans-with-variational-entropy-regularizers-applications-in-mitigating-the-mode-collapse-issue-2009.11921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gans-with-variational-entropy-regularizers-applications-in-mitigating-the-mode-collapse-issue-2009.11921"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-adaptive-rebalancing-in-nonstationary-environments-2009.11942</loc><lastmod>2020-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-adaptive-rebalancing-in-nonstationary-environments-2009.11942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-adaptive-rebalancing-in-nonstationary-environments-2009.11942"/></url>
<url><loc>https://scifaro.com/en/abs/n-beats-neural-network-for-mid-term-electricity-load-forecasting-2009.11961</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/n-beats-neural-network-for-mid-term-electricity-load-forecasting-2009.11961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/n-beats-neural-network-for-mid-term-electricity-load-forecasting-2009.11961"/></url>
<url><loc>https://scifaro.com/en/abs/continual-model-based-reinforcement-learning-with-hypernetworks-2009.11997</loc><lastmod>2026-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-model-based-reinforcement-learning-with-hypernetworks-2009.11997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-model-based-reinforcement-learning-with-hypernetworks-2009.11997"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-parkinson-s-disease-with-multimodal-irregularly-collected-longitudinal-smartphone-data-2009.11999</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-parkinson-s-disease-with-multimodal-irregularly-collected-longitudinal-smartphone-data-2009.11999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-parkinson-s-disease-with-multimodal-irregularly-collected-longitudinal-smartphone-data-2009.11999"/></url>
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<url><loc>https://scifaro.com/en/abs/smart-irrigation-iot-solution-using-transfer-learning-for-neural-networks-2009.12747</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smart-irrigation-iot-solution-using-transfer-learning-for-neural-networks-2009.12747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smart-irrigation-iot-solution-using-transfer-learning-for-neural-networks-2009.12747"/></url>
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<url><loc>https://scifaro.com/en/abs/over-the-air-federated-learning-from-heterogeneous-data-2009.12787</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/over-the-air-federated-learning-from-heterogeneous-data-2009.12787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/over-the-air-federated-learning-from-heterogeneous-data-2009.12787"/></url>
<url><loc>https://scifaro.com/en/abs/learning-optimal-representations-with-the-decodable-information-bottleneck-2009.12789</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-optimal-representations-with-the-decodable-information-bottleneck-2009.12789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-optimal-representations-with-the-decodable-information-bottleneck-2009.12789"/></url>
<url><loc>https://scifaro.com/en/abs/nn-evclus-neural-network-based-evidential-clustering-2009.12795</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nn-evclus-neural-network-based-evidential-clustering-2009.12795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nn-evclus-neural-network-based-evidential-clustering-2009.12795"/></url>
<url><loc>https://scifaro.com/en/abs/experimental-design-for-overparameterized-learning-with-application-to-single-shot-deep-active-learning-2009.12820</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/experimental-design-for-overparameterized-learning-with-application-to-single-shot-deep-active-learning-2009.12820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/experimental-design-for-overparameterized-learning-with-application-to-single-shot-deep-active-learning-2009.12820"/></url>
<url><loc>https://scifaro.com/en/abs/normalization-techniques-in-training-dnns-methodology-analysis-and-application-2009.12836</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalization-techniques-in-training-dnns-methodology-analysis-and-application-2009.12836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalization-techniques-in-training-dnns-methodology-analysis-and-application-2009.12836"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-sim-to-real-transfer-with-probabilistic-dynamics-models-2009.12864</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-sim-to-real-transfer-with-probabilistic-dynamics-models-2009.12864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-sim-to-real-transfer-with-probabilistic-dynamics-models-2009.12864"/></url>
<url><loc>https://scifaro.com/en/abs/learning-self-expression-metrics-for-scalable-and-inductive-subspace-clustering-2009.12875</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-self-expression-metrics-for-scalable-and-inductive-subspace-clustering-2009.12875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-self-expression-metrics-for-scalable-and-inductive-subspace-clustering-2009.12875"/></url>
<url><loc>https://scifaro.com/en/abs/interaction-based-trajectory-prediction-over-a-hybrid-traffic-graph-2009.12916</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interaction-based-trajectory-prediction-over-a-hybrid-traffic-graph-2009.12916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interaction-based-trajectory-prediction-over-a-hybrid-traffic-graph-2009.12916"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-deep-inverse-models-over-time-and-the-neural-adjoint-method-2009.12919</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-deep-inverse-models-over-time-and-the-neural-adjoint-method-2009.12919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-deep-inverse-models-over-time-and-the-neural-adjoint-method-2009.12919"/></url>
<url><loc>https://scifaro.com/en/abs/analysing-the-impact-of-global-demographic-characteristics-over-the-covid-19-spread-using-class-rule-mining-and-pattern-matching-2009.12923</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysing-the-impact-of-global-demographic-characteristics-over-the-covid-19-spread-using-class-rule-mining-and-pattern-matching-2009.12923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysing-the-impact-of-global-demographic-characteristics-over-the-covid-19-spread-using-class-rule-mining-and-pattern-matching-2009.12923"/></url>
<url><loc>https://scifaro.com/en/abs/a-weighted-quiver-kernel-using-functor-homology-2009.12928</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-weighted-quiver-kernel-using-functor-homology-2009.12928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-weighted-quiver-kernel-using-functor-homology-2009.12928"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-label-noise-in-graph-based-semi-supervised-learning-2009.12966</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-label-noise-in-graph-based-semi-supervised-learning-2009.12966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-label-noise-in-graph-based-semi-supervised-learning-2009.12966"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-relevance-and-diversity-a-new-recommendation-inference-approach-2009.12969</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-relevance-and-diversity-a-new-recommendation-inference-approach-2009.12969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-relevance-and-diversity-a-new-recommendation-inference-approach-2009.12969"/></url>
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<url><loc>https://scifaro.com/en/abs/loosely-coupled-federated-learning-over-generative-models-2009.12999</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loosely-coupled-federated-learning-over-generative-models-2009.12999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loosely-coupled-federated-learning-over-generative-models-2009.12999"/></url>
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<url><loc>https://scifaro.com/en/abs/where-does-the-robustness-come-from-a-study-of-the-transformation-based-ensemble-defence-2009.13033</loc><lastmod>2020-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/where-does-the-robustness-come-from-a-study-of-the-transformation-based-ensemble-defence-2009.13033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/where-does-the-robustness-come-from-a-study-of-the-transformation-based-ensemble-defence-2009.13033"/></url>
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<url><loc>https://scifaro.com/en/abs/agent-environment-cycle-games-2009.13051</loc><lastmod>2022-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agent-environment-cycle-games-2009.13051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agent-environment-cycle-games-2009.13051"/></url>
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<url><loc>https://scifaro.com/en/abs/f-divergence-variational-inference-2009.13093</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/f-divergence-variational-inference-2009.13093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/f-divergence-variational-inference-2009.13093"/></url>
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<url><loc>https://scifaro.com/en/abs/quantal-synaptic-dilution-enhances-sparse-encoding-and-dropout-regularisation-in-deep-networks-2009.13165</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantal-synaptic-dilution-enhances-sparse-encoding-and-dropout-regularisation-in-deep-networks-2009.13165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantal-synaptic-dilution-enhances-sparse-encoding-and-dropout-regularisation-in-deep-networks-2009.13165"/></url>
<url><loc>https://scifaro.com/en/abs/castle-regularization-via-auxiliary-causal-graph-discovery-2009.13180</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/castle-regularization-via-auxiliary-causal-graph-discovery-2009.13180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/castle-regularization-via-auxiliary-causal-graph-discovery-2009.13180"/></url>
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<url><loc>https://scifaro.com/en/abs/sense-and-learn-self-supervision-for-omnipresent-sensors-2009.13233</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sense-and-learn-self-supervision-for-omnipresent-sensors-2009.13233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sense-and-learn-self-supervision-for-omnipresent-sensors-2009.13233"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-transfer-learning-with-expert-models-2009.13239</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-transfer-learning-with-expert-models-2009.13239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-transfer-learning-with-expert-models-2009.13239"/></url>
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<url><loc>https://scifaro.com/en/abs/advancing-the-research-and-development-of-assured-artificial-intelligence-and-machine-learning-capabilities-2009.13250</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advancing-the-research-and-development-of-assured-artificial-intelligence-and-machine-learning-capabilities-2009.13250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advancing-the-research-and-development-of-assured-artificial-intelligence-and-machine-learning-capabilities-2009.13250"/></url>
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<url><loc>https://scifaro.com/en/abs/sim-to-real-transfer-in-deep-reinforcement-learning-for-robotics-a-survey-2009.13303</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sim-to-real-transfer-in-deep-reinforcement-learning-for-robotics-a-survey-2009.13303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sim-to-real-transfer-in-deep-reinforcement-learning-for-robotics-a-survey-2009.13303"/></url>
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<url><loc>https://scifaro.com/en/abs/boml-a-modularized-bilevel-optimization-library-in-python-for-meta-learning-2009.13357</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boml-a-modularized-bilevel-optimization-library-in-python-for-meta-learning-2009.13357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boml-a-modularized-bilevel-optimization-library-in-python-for-meta-learning-2009.13357"/></url>
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<url><loc>https://scifaro.com/en/abs/a-human-in-the-loop-approach-based-on-explainability-to-improve-ntl-detection-2009.13437</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-human-in-the-loop-approach-based-on-explainability-to-improve-ntl-detection-2009.13437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-human-in-the-loop-approach-based-on-explainability-to-improve-ntl-detection-2009.13437"/></url>
<url><loc>https://scifaro.com/en/abs/why-resampling-outperforms-reweighting-for-correcting-sampling-bias-with-stochastic-gradients-2009.13447</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-resampling-outperforms-reweighting-for-correcting-sampling-bias-with-stochastic-gradients-2009.13447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-resampling-outperforms-reweighting-for-correcting-sampling-bias-with-stochastic-gradients-2009.13447"/></url>
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<url><loc>https://scifaro.com/en/abs/eis-a-family-of-activation-functions-combining-exponential-isru-and-softplus-2009.13501</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eis-a-family-of-activation-functions-combining-exponential-isru-and-softplus-2009.13501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eis-a-family-of-activation-functions-combining-exponential-isru-and-softplus-2009.13501"/></url>
<url><loc>https://scifaro.com/en/abs/is-reinforcement-learning-more-difficult-than-bandits-a-near-optimal-algorithm-escaping-the-curse-of-horizon-2009.13503</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-reinforcement-learning-more-difficult-than-bandits-a-near-optimal-algorithm-escaping-the-curse-of-horizon-2009.13503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-reinforcement-learning-more-difficult-than-bandits-a-near-optimal-algorithm-escaping-the-curse-of-horizon-2009.13503"/></url>
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<url><loc>https://scifaro.com/en/abs/fair-meta-learning-for-few-shot-classification-2009.13516</loc><lastmod>2020-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-meta-learning-for-few-shot-classification-2009.13516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-meta-learning-for-few-shot-classification-2009.13516"/></url>
<url><loc>https://scifaro.com/en/abs/strata-simple-gradient-free-attacks-for-models-of-code-2009.13562</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strata-simple-gradient-free-attacks-for-models-of-code-2009.13562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strata-simple-gradient-free-attacks-for-models-of-code-2009.13562"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-with-heterophily-2009.13566</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-with-heterophily-2009.13566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-with-heterophily-2009.13566"/></url>
<url><loc>https://scifaro.com/en/abs/novelty-search-in-representational-space-for-sample-efficient-exploration-2009.13579</loc><lastmod>2022-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novelty-search-in-representational-space-for-sample-efficient-exploration-2009.13579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novelty-search-in-representational-space-for-sample-efficient-exploration-2009.13579"/></url>
<url><loc>https://scifaro.com/en/abs/apollo-an-adaptive-parameter-wise-diagonal-quasi-newton-method-for-nonconvex-stochastic-optimization-2009.13586</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/apollo-an-adaptive-parameter-wise-diagonal-quasi-newton-method-for-nonconvex-stochastic-optimization-2009.13586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/apollo-an-adaptive-parameter-wise-diagonal-quasi-newton-method-for-nonconvex-stochastic-optimization-2009.13586"/></url>
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<url><loc>https://scifaro.com/en/abs/hotel-recommendation-system-based-on-user-profiles-and-collaborative-filtering-2009.14045</loc><lastmod>2020-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hotel-recommendation-system-based-on-user-profiles-and-collaborative-filtering-2009.14045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hotel-recommendation-system-based-on-user-profiles-and-collaborative-filtering-2009.14045"/></url>
<url><loc>https://scifaro.com/en/abs/graphite-estimating-individual-effects-of-graph-structured-treatments-2009.14061</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphite-estimating-individual-effects-of-graph-structured-treatments-2009.14061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphite-estimating-individual-effects-of-graph-structured-treatments-2009.14061"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-switched-markov-polynomial-narx-models-2009.14073</loc><lastmod>2020-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-switched-markov-polynomial-narx-models-2009.14073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-switched-markov-polynomial-narx-models-2009.14073"/></url>
<url><loc>https://scifaro.com/en/abs/backpropagating-through-fr-echet-inception-distance-2009.14075</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backpropagating-through-fr-echet-inception-distance-2009.14075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backpropagating-through-fr-echet-inception-distance-2009.14075"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-based-oversampling-for-high-imbalance-and-high-dimensionality-data-classification-2009.14096</loc><lastmod>2022-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-based-oversampling-for-high-imbalance-and-high-dimensionality-data-classification-2009.14096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-based-oversampling-for-high-imbalance-and-high-dimensionality-data-classification-2009.14096"/></url>
<url><loc>https://scifaro.com/en/abs/align-rudder-learning-from-few-demonstrations-by-reward-redistribution-2009.14108</loc><lastmod>2022-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/align-rudder-learning-from-few-demonstrations-by-reward-redistribution-2009.14108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/align-rudder-learning-from-few-demonstrations-by-reward-redistribution-2009.14108"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-classification-with-limited-budget-and-maximum-number-of-perturbed-samples-2009.14111</loc><lastmod>2020-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-classification-with-limited-budget-and-maximum-number-of-perturbed-samples-2009.14111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-classification-with-limited-budget-and-maximum-number-of-perturbed-samples-2009.14111"/></url>
<url><loc>https://scifaro.com/en/abs/eeg-to-fmri-synthesis-is-deep-learning-a-candidate-2009.14133</loc><lastmod>2020-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eeg-to-fmri-synthesis-is-deep-learning-a-candidate-2009.14133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eeg-to-fmri-synthesis-is-deep-learning-a-candidate-2009.14133"/></url>
<url><loc>https://scifaro.com/en/abs/selective-cascade-of-residual-extratrees-2009.14138</loc><lastmod>2020-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-cascade-of-residual-extratrees-2009.14138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-cascade-of-residual-extratrees-2009.14138"/></url>
<url><loc>https://scifaro.com/en/abs/unbalanced-sobolev-descent-2009.14148</loc><lastmod>2020-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbalanced-sobolev-descent-2009.14148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbalanced-sobolev-descent-2009.14148"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-few-shot-learning-on-point-clouds-2009.14168</loc><lastmod>2020-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-few-shot-learning-on-point-clouds-2009.14168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-few-shot-learning-on-point-clouds-2009.14168"/></url>
<url><loc>https://scifaro.com/en/abs/acceleration-of-large-margin-metric-learning-for-nearest-neighbor-classification-using-triplet-mining-and-stratified-sampling-2009.14244</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/acceleration-of-large-margin-metric-learning-for-nearest-neighbor-classification-using-triplet-mining-and-stratified-sampling-2009.14244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/acceleration-of-large-margin-metric-learning-for-nearest-neighbor-classification-using-triplet-mining-and-stratified-sampling-2009.14244"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-multi-source-domain-adaptation-with-pseudolabels-2009.14248</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-multi-source-domain-adaptation-with-pseudolabels-2009.14248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-multi-source-domain-adaptation-with-pseudolabels-2009.14248"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-of-learning-through-empirical-gain-maximization-2009.14250</loc><lastmod>2021-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-of-learning-through-empirical-gain-maximization-2009.14250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-of-learning-through-empirical-gain-maximization-2009.14250"/></url>
<url><loc>https://scifaro.com/en/abs/finite-time-analysis-for-double-q-learning-2009.14257</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-time-analysis-for-double-q-learning-2009.14257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-time-analysis-for-double-q-learning-2009.14257"/></url>
<url><loc>https://scifaro.com/en/abs/trustworthy-convolutional-neural-networks-a-gradient-penalized-based-approach-2009.14260</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trustworthy-convolutional-neural-networks-a-gradient-penalized-based-approach-2009.14260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trustworthy-convolutional-neural-networks-a-gradient-penalized-based-approach-2009.14260"/></url>
<url><loc>https://scifaro.com/en/abs/attention-that-does-not-explain-away-2009.14308</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-that-does-not-explain-away-2009.14308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-that-does-not-explain-away-2009.14308"/></url>
<url><loc>https://scifaro.com/en/abs/multi-hop-attention-graph-neural-network-2009.14332</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-hop-attention-graph-neural-network-2009.14332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-hop-attention-graph-neural-network-2009.14332"/></url>
<url><loc>https://scifaro.com/en/abs/stratlearner-learning-a-strategy-for-misinformation-prevention-in-social-networks-2009.14337</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stratlearner-learning-a-strategy-for-misinformation-prevention-in-social-networks-2009.14337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stratlearner-learning-a-strategy-for-misinformation-prevention-in-social-networks-2009.14337"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-matrix-completion-a-functional-view-2009.14343</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-matrix-completion-a-functional-view-2009.14343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-matrix-completion-a-functional-view-2009.14343"/></url>
<url><loc>https://scifaro.com/en/abs/facilitate-the-parametric-dimension-reduction-by-gradient-clipping-2009.14373</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/facilitate-the-parametric-dimension-reduction-by-gradient-clipping-2009.14373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/facilitate-the-parametric-dimension-reduction-by-gradient-clipping-2009.14373"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-adaptive-multiple-kernel-k-means-for-clustering-2009.14389</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-adaptive-multiple-kernel-k-means-for-clustering-2009.14389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-adaptive-multiple-kernel-k-means-for-clustering-2009.14389"/></url>
<url><loc>https://scifaro.com/en/abs/improved-knowledge-distillation-via-full-kernel-matrix-transfer-2009.14416</loc><lastmod>2022-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-knowledge-distillation-via-full-kernel-matrix-transfer-2009.14416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-knowledge-distillation-via-full-kernel-matrix-transfer-2009.14416"/></url>
<url><loc>https://scifaro.com/en/abs/online-convex-optimization-in-changing-environments-and-its-application-to-resource-allocation-2009.14436</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-convex-optimization-in-changing-environments-and-its-application-to-resource-allocation-2009.14436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-convex-optimization-in-changing-environments-and-its-application-to-resource-allocation-2009.14436"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-embedding-of-graph-networks-2009.14441</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-embedding-of-graph-networks-2009.14441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-embedding-of-graph-networks-2009.14441"/></url>
<url><loc>https://scifaro.com/en/abs/a-law-of-robustness-for-two-layers-neural-networks-2009.14444</loc><lastmod>2020-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-law-of-robustness-for-two-layers-neural-networks-2009.14444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-law-of-robustness-for-two-layers-neural-networks-2009.14444"/></url>
<url><loc>https://scifaro.com/en/abs/pettingzoo-gym-for-multi-agent-reinforcement-learning-2009.14471</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pettingzoo-gym-for-multi-agent-reinforcement-learning-2009.14471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pettingzoo-gym-for-multi-agent-reinforcement-learning-2009.14471"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-autism-spectrum-disorder-using-machine-learning-2009.14499</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-autism-spectrum-disorder-using-machine-learning-2009.14499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-autism-spectrum-disorder-using-machine-learning-2009.14499"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-precision-ensemble-self-knowledge-distillation-for-quantized-deep-neural-networks-2009.14502</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-precision-ensemble-self-knowledge-distillation-for-quantized-deep-neural-networks-2009.14502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-precision-ensemble-self-knowledge-distillation-for-quantized-deep-neural-networks-2009.14502"/></url>
<url><loc>https://scifaro.com/en/abs/one-reflection-suffice-2009.14554</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-reflection-suffice-2009.14554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-reflection-suffice-2009.14554"/></url>
<url><loc>https://scifaro.com/en/abs/uncovering-feature-interdependencies-in-high-noise-environments-with-stepwise-lookahead-decision-forests-2009.14572</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncovering-feature-interdependencies-in-high-noise-environments-with-stepwise-lookahead-decision-forests-2009.14572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncovering-feature-interdependencies-in-high-noise-environments-with-stepwise-lookahead-decision-forests-2009.14572"/></url>
<url><loc>https://scifaro.com/en/abs/rain-code-fusion-code-to-code-convlstm-forecasting-spatiotemporal-precipitation-2009.14573</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rain-code-fusion-code-to-code-convlstm-forecasting-spatiotemporal-precipitation-2009.14573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rain-code-fusion-code-to-code-convlstm-forecasting-spatiotemporal-precipitation-2009.14573"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-isomorphism-classes-in-multi-relational-datasets-2009.14593</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-isomorphism-classes-in-multi-relational-datasets-2009.14593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-isomorphism-classes-in-multi-relational-datasets-2009.14593"/></url>
<url><loc>https://scifaro.com/en/abs/improving-generalization-of-deep-fault-detection-models-in-the-presence-of-mislabeled-data-2009.14606</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-generalization-of-deep-fault-detection-models-in-the-presence-of-mislabeled-data-2009.14606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-generalization-of-deep-fault-detection-models-in-the-presence-of-mislabeled-data-2009.14606"/></url>
<url><loc>https://scifaro.com/en/abs/a-traffic-light-dynamic-control-algorithm-with-deep-reinforcement-learning-based-on-gnn-prediction-2009.14627</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-traffic-light-dynamic-control-algorithm-with-deep-reinforcement-learning-based-on-gnn-prediction-2009.14627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-traffic-light-dynamic-control-algorithm-with-deep-reinforcement-learning-based-on-gnn-prediction-2009.14627"/></url>
<url><loc>https://scifaro.com/en/abs/an-online-learning-algorithm-for-a-neuro-fuzzy-classifier-with-mixed-attribute-data-2009.14670</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-online-learning-algorithm-for-a-neuro-fuzzy-classifier-with-mixed-attribute-data-2009.14670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-online-learning-algorithm-for-a-neuro-fuzzy-classifier-with-mixed-attribute-data-2009.14670"/></url>
<url><loc>https://scifaro.com/en/abs/global-convergence-of-negative-correlation-extreme-learning-machine-2009.14695</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convergence-of-negative-correlation-extreme-learning-machine-2009.14695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convergence-of-negative-correlation-extreme-learning-machine-2009.14695"/></url>
<url><loc>https://scifaro.com/en/abs/where-does-trust-break-down-a-quantitative-trust-analysis-of-deep-neural-networks-via-trust-matrix-and-conditional-trust-densities-2009.14701</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/where-does-trust-break-down-a-quantitative-trust-analysis-of-deep-neural-networks-via-trust-matrix-and-conditional-trust-densities-2009.14701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/where-does-trust-break-down-a-quantitative-trust-analysis-of-deep-neural-networks-via-trust-matrix-and-conditional-trust-densities-2009.14701"/></url>
<url><loc>https://scifaro.com/en/abs/some-remarks-on-replicated-simulated-annealing-2009.14702</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-remarks-on-replicated-simulated-annealing-2009.14702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-remarks-on-replicated-simulated-annealing-2009.14702"/></url>
<url><loc>https://scifaro.com/en/abs/dverge-diversifying-vulnerabilities-for-enhanced-robust-generation-of-ensembles-2009.14720</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dverge-diversifying-vulnerabilities-for-enhanced-robust-generation-of-ensembles-2009.14720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dverge-diversifying-vulnerabilities-for-enhanced-robust-generation-of-ensembles-2009.14720"/></url>
<url><loc>https://scifaro.com/en/abs/improving-auto-augment-via-augmentation-wise-weight-sharing-2009.14737</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-auto-augment-via-augmentation-wise-weight-sharing-2009.14737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-auto-augment-via-augmentation-wise-weight-sharing-2009.14737"/></url>
<url><loc>https://scifaro.com/en/abs/resgcn-attention-based-deep-residual-modeling-for-anomaly-detection-on-attributed-networks-2009.14738</loc><lastmod>2020-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resgcn-attention-based-deep-residual-modeling-for-anomaly-detection-on-attributed-networks-2009.14738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resgcn-attention-based-deep-residual-modeling-for-anomaly-detection-on-attributed-networks-2009.14738"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-regression-when-oblivious-outliers-overwhelm-2009.14774</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-regression-when-oblivious-outliers-overwhelm-2009.14774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-regression-when-oblivious-outliers-overwhelm-2009.14774"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-systematic-generalization-in-neural-proof-generation-with-transformers-2009.14786</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-systematic-generalization-in-neural-proof-generation-with-transformers-2009.14786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-systematic-generalization-in-neural-proof-generation-with-transformers-2009.14786"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-attention-with-performers-2009.14794</loc><lastmod>2022-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-attention-with-performers-2009.14794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-attention-with-performers-2009.14794"/></url>
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<url><loc>https://scifaro.com/en/abs/a-modular-analysis-of-provable-acceleration-via-polyak-s-momentum-training-a-wide-relu-network-and-a-deep-linear-network-2010.01618</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-modular-analysis-of-provable-acceleration-via-polyak-s-momentum-training-a-wide-relu-network-and-a-deep-linear-network-2010.01618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-modular-analysis-of-provable-acceleration-via-polyak-s-momentum-training-a-wide-relu-network-and-a-deep-linear-network-2010.01618"/></url>
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<url><loc>https://scifaro.com/en/abs/a-physics-informed-machine-learning-approach-for-solving-heat-transfer-equation-in-advanced-manufacturing-and-engineering-applications-2010.02011</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-physics-informed-machine-learning-approach-for-solving-heat-transfer-equation-in-advanced-manufacturing-and-engineering-applications-2010.02011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-physics-informed-machine-learning-approach-for-solving-heat-transfer-equation-in-advanced-manufacturing-and-engineering-applications-2010.02011"/></url>
<url><loc>https://scifaro.com/en/abs/deep-incomplete-multi-view-multiple-clusterings-2010.02024</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-incomplete-multi-view-multiple-clusterings-2010.02024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-incomplete-multi-view-multiple-clusterings-2010.02024"/></url>
<url><loc>https://scifaro.com/en/abs/mcmc-interactive-variational-inference-2010.02029</loc><lastmod>2022-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcmc-interactive-variational-inference-2010.02029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcmc-interactive-variational-inference-2010.02029"/></url>
<url><loc>https://scifaro.com/en/abs/sample-weighting-as-an-explanation-for-mode-collapse-in-generative-adversarial-networks-2010.02035</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-weighting-as-an-explanation-for-mode-collapse-in-generative-adversarial-networks-2010.02035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-weighting-as-an-explanation-for-mode-collapse-in-generative-adversarial-networks-2010.02035"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-negative-sampling-for-contrastive-learning-of-visual-representations-2010.02037</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-negative-sampling-for-contrastive-learning-of-visual-representations-2010.02037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-negative-sampling-for-contrastive-learning-of-visual-representations-2010.02037"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-framework-for-uncertainty-in-contrastive-learning-2010.02038</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-framework-for-uncertainty-in-contrastive-learning-2010.02038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-framework-for-uncertainty-in-contrastive-learning-2010.02038"/></url>
<url><loc>https://scifaro.com/en/abs/improving-generative-imagination-in-object-centric-world-models-2010.02054</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-generative-imagination-in-object-centric-world-models-2010.02054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-generative-imagination-in-object-centric-world-models-2010.02054"/></url>
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<url><loc>https://scifaro.com/en/abs/detecting-misclassification-errors-in-neural-networks-with-a-gaussian-process-model-2010.02065</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-misclassification-errors-in-neural-networks-with-a-gaussian-process-model-2010.02065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-misclassification-errors-in-neural-networks-with-a-gaussian-process-model-2010.02065"/></url>
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<url><loc>https://scifaro.com/en/abs/learned-hardware-software-co-design-of-neural-accelerators-2010.02075</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learned-hardware-software-co-design-of-neural-accelerators-2010.02075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learned-hardware-software-co-design-of-neural-accelerators-2010.02075"/></url>
<url><loc>https://scifaro.com/en/abs/copulagnn-towards-integrating-representational-and-correlational-roles-of-graphs-in-graph-neural-networks-2010.02089</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copulagnn-towards-integrating-representational-and-correlational-roles-of-graphs-in-graph-neural-networks-2010.02089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copulagnn-towards-integrating-representational-and-correlational-roles-of-graphs-in-graph-neural-networks-2010.02089"/></url>
<url><loc>https://scifaro.com/en/abs/invertible-densenets-2010.02125</loc><lastmod>2021-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invertible-densenets-2010.02125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invertible-densenets-2010.02125"/></url>
<url><loc>https://scifaro.com/en/abs/adalead-a-simple-and-robust-adaptive-greedy-search-algorithm-for-sequence-design-2010.02141</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adalead-a-simple-and-robust-adaptive-greedy-search-algorithm-for-sequence-design-2010.02141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adalead-a-simple-and-robust-adaptive-greedy-search-algorithm-for-sequence-design-2010.02141"/></url>
<url><loc>https://scifaro.com/en/abs/latent-neural-source-recovery-via-transcoding-of-simultaneous-eeg-fmri-2010.02167</loc><lastmod>2020-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-neural-source-recovery-via-transcoding-of-simultaneous-eeg-fmri-2010.02167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-neural-source-recovery-via-transcoding-of-simultaneous-eeg-fmri-2010.02167"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-conditional-density-of-missing-values-using-deep-gaussian-mixture-model-2010.02183</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-conditional-density-of-missing-values-using-deep-gaussian-mixture-model-2010.02183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-conditional-density-of-missing-values-using-deep-gaussian-mixture-model-2010.02183"/></url>
<url><loc>https://scifaro.com/en/abs/mastering-atari-with-discrete-world-models-2010.02193</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mastering-atari-with-discrete-world-models-2010.02193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mastering-atari-with-discrete-world-models-2010.02193"/></url>
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<url><loc>https://scifaro.com/en/abs/short-term-prediction-of-photovoltaic-power-generation-using-gaussian-process-regression-2010.02275</loc><lastmod>2020-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-prediction-of-photovoltaic-power-generation-using-gaussian-process-regression-2010.02275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-prediction-of-photovoltaic-power-generation-using-gaussian-process-regression-2010.02275"/></url>
<url><loc>https://scifaro.com/en/abs/latent-world-models-for-intrinsically-motivated-exploration-2010.02302</loc><lastmod>2020-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-world-models-for-intrinsically-motivated-exploration-2010.02302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-world-models-for-intrinsically-motivated-exploration-2010.02302"/></url>
<url><loc>https://scifaro.com/en/abs/deep-anomaly-detection-by-residual-adaptation-2010.02310</loc><lastmod>2020-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-anomaly-detection-by-residual-adaptation-2010.02310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-anomaly-detection-by-residual-adaptation-2010.02310"/></url>
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<url><loc>https://scifaro.com/en/abs/characterising-bias-in-compressed-models-2010.03058</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterising-bias-in-compressed-models-2010.03058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterising-bias-in-compressed-models-2010.03058"/></url>
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<url><loc>https://scifaro.com/en/abs/online-linear-optimization-with-many-hints-2010.03082</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-linear-optimization-with-many-hints-2010.03082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-linear-optimization-with-many-hints-2010.03082"/></url>
<url><loc>https://scifaro.com/en/abs/correlated-differential-privacy-feature-selection-in-machine-learning-2010.03094</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlated-differential-privacy-feature-selection-in-machine-learning-2010.03094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlated-differential-privacy-feature-selection-in-machine-learning-2010.03094"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-causal-structure-learning-with-normalizing-flow-2010.03095</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-causal-structure-learning-with-normalizing-flow-2010.03095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-causal-structure-learning-with-normalizing-flow-2010.03095"/></url>
<url><loc>https://scifaro.com/en/abs/instance-dependent-complexity-of-contextual-bandits-and-reinforcement-learning-a-disagreement-based-perspective-2010.03104</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-dependent-complexity-of-contextual-bandits-and-reinforcement-learning-a-disagreement-based-perspective-2010.03104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-dependent-complexity-of-contextual-bandits-and-reinforcement-learning-a-disagreement-based-perspective-2010.03104"/></url>
<url><loc>https://scifaro.com/en/abs/causal-curiosity-rl-agents-discovering-self-supervised-experiments-for-causal-representation-learning-2010.03110</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-curiosity-rl-agents-discovering-self-supervised-experiments-for-causal-representation-learning-2010.03110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-curiosity-rl-agents-discovering-self-supervised-experiments-for-causal-representation-learning-2010.03110"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-generative-modeling-via-learning-the-latent-space-2010.03132</loc><lastmod>2020-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-generative-modeling-via-learning-the-latent-space-2010.03132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-generative-modeling-via-learning-the-latent-space-2010.03132"/></url>
<url><loc>https://scifaro.com/en/abs/provable-hierarchical-imitation-learning-via-em-2010.03133</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-hierarchical-imitation-learning-via-em-2010.03133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-hierarchical-imitation-learning-via-em-2010.03133"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-for-sequence-data-with-deep-autoencoding-predictive-components-2010.03135</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-for-sequence-data-with-deep-autoencoding-predictive-components-2010.03135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-for-sequence-data-with-deep-autoencoding-predictive-components-2010.03135"/></url>
<url><loc>https://scifaro.com/en/abs/pymt5-multi-mode-translation-of-natural-language-and-python-code-with-transformers-2010.03150</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pymt5-multi-mode-translation-of-natural-language-and-python-code-with-transformers-2010.03150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pymt5-multi-mode-translation-of-natural-language-and-python-code-with-transformers-2010.03150"/></url>
<url><loc>https://scifaro.com/en/abs/projection-based-constrained-policy-optimization-2010.03152</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projection-based-constrained-policy-optimization-2010.03152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projection-based-constrained-policy-optimization-2010.03152"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-non-stationary-rl-near-optimal-regret-and-applications-in-multi-agent-rl-and-inventory-control-2010.03161</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-non-stationary-rl-near-optimal-regret-and-applications-in-multi-agent-rl-and-inventory-control-2010.03161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-non-stationary-rl-near-optimal-regret-and-applications-in-multi-agent-rl-and-inventory-control-2010.03161"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-efficient-and-scalable-training-of-graph-neural-networks-2010.03166</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-efficient-and-scalable-training-of-graph-neural-networks-2010.03166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-efficient-and-scalable-training-of-graph-neural-networks-2010.03166"/></url>
<url><loc>https://scifaro.com/en/abs/improving-sequential-latent-variable-models-with-autoregressive-flows-2010.03172</loc><lastmod>2022-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-sequential-latent-variable-models-with-autoregressive-flows-2010.03172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-sequential-latent-variable-models-with-autoregressive-flows-2010.03172"/></url>
<url><loc>https://scifaro.com/en/abs/not-all-datasets-are-born-equal-on-heterogeneous-data-and-adversarial-examples-2010.03180</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/not-all-datasets-are-born-equal-on-heterogeneous-data-and-adversarial-examples-2010.03180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/not-all-datasets-are-born-equal-on-heterogeneous-data-and-adversarial-examples-2010.03180"/></url>
<url><loc>https://scifaro.com/en/abs/cardiac-arrhythmia-detection-from-ecg-with-convolutional-recurrent-neural-networks-2010.03204</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cardiac-arrhythmia-detection-from-ecg-with-convolutional-recurrent-neural-networks-2010.03204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cardiac-arrhythmia-detection-from-ecg-with-convolutional-recurrent-neural-networks-2010.03204"/></url>
<url><loc>https://scifaro.com/en/abs/physical-system-for-non-time-sequence-data-2010.03206</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physical-system-for-non-time-sequence-data-2010.03206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physical-system-for-non-time-sequence-data-2010.03206"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-models-for-predictive-maintenance-a-survey-comparison-challenges-and-prospect-2010.03207</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-models-for-predictive-maintenance-a-survey-comparison-challenges-and-prospect-2010.03207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-models-for-predictive-maintenance-a-survey-comparison-challenges-and-prospect-2010.03207"/></url>
<url><loc>https://scifaro.com/en/abs/learning-half-spaces-and-other-concept-classes-in-the-limit-with-iterative-learners-2010.03227</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-half-spaces-and-other-concept-classes-in-the-limit-with-iterative-learners-2010.03227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-half-spaces-and-other-concept-classes-in-the-limit-with-iterative-learners-2010.03227"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-normalizing-flows-for-permutation-invariant-densities-2010.03242</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-normalizing-flows-for-permutation-invariant-densities-2010.03242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-normalizing-flows-for-permutation-invariant-densities-2010.03242"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-gradient-compression-for-distributed-and-federated-learning-2010.03246</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-gradient-compression-for-distributed-and-federated-learning-2010.03246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-gradient-compression-for-distributed-and-federated-learning-2010.03246"/></url>
<url><loc>https://scifaro.com/en/abs/diffmg-differentiable-meta-graph-search-for-heterogeneous-graph-neural-networks-2010.03250</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffmg-differentiable-meta-graph-search-for-heterogeneous-graph-neural-networks-2010.03250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffmg-differentiable-meta-graph-search-for-heterogeneous-graph-neural-networks-2010.03250"/></url>
<url><loc>https://scifaro.com/en/abs/global-optimization-of-objective-functions-represented-by-relu-networks-2010.03258</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-optimization-of-objective-functions-represented-by-relu-networks-2010.03258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-optimization-of-objective-functions-represented-by-relu-networks-2010.03258"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-robust-online-distance-similarity-learning-based-on-the-rescaled-hinge-loss-2010.03268</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-robust-online-distance-similarity-learning-based-on-the-rescaled-hinge-loss-2010.03268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-robust-online-distance-similarity-learning-based-on-the-rescaled-hinge-loss-2010.03268"/></url>
<url><loc>https://scifaro.com/en/abs/variational-intrinsic-control-revisited-2010.03281</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-intrinsic-control-revisited-2010.03281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-intrinsic-control-revisited-2010.03281"/></url>
<url><loc>https://scifaro.com/en/abs/double-targeted-universal-adversarial-perturbations-2010.03288</loc><lastmod>2020-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-targeted-universal-adversarial-perturbations-2010.03288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-targeted-universal-adversarial-perturbations-2010.03288"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-policy-optimization-with-relative-pearson-divergence-2010.03290</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-policy-optimization-with-relative-pearson-divergence-2010.03290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-policy-optimization-with-relative-pearson-divergence-2010.03290"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-and-efficient-tensor-calculus-for-machine-learning-2010.03313</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-and-efficient-tensor-calculus-for-machine-learning-2010.03313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-and-efficient-tensor-calculus-for-machine-learning-2010.03313"/></url>
<url><loc>https://scifaro.com/en/abs/batch-normalization-increases-adversarial-vulnerability-and-decreases-adversarial-transferability-a-non-robust-feature-perspective-2010.03316</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-normalization-increases-adversarial-vulnerability-and-decreases-adversarial-transferability-a-non-robust-feature-perspective-2010.03316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-normalization-increases-adversarial-vulnerability-and-decreases-adversarial-transferability-a-non-robust-feature-perspective-2010.03316"/></url>
<url><loc>https://scifaro.com/en/abs/automated-human-activity-recognition-by-colliding-bodies-optimization-based-optimal-feature-selection-with-recurrent-neural-network-2010.03324</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-human-activity-recognition-by-colliding-bodies-optimization-based-optimal-feature-selection-with-recurrent-neural-network-2010.03324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-human-activity-recognition-by-colliding-bodies-optimization-based-optimal-feature-selection-with-recurrent-neural-network-2010.03324"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mesh-based-simulation-with-graph-networks-2010.03409</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mesh-based-simulation-with-graph-networks-2010.03409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mesh-based-simulation-with-graph-networks-2010.03409"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-non-i-i-d-data-towards-more-robust-machine-learning-algorithms-2010.03429</loc><lastmod>2020-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-non-i-i-d-data-towards-more-robust-machine-learning-algorithms-2010.03429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-non-i-i-d-data-towards-more-robust-machine-learning-algorithms-2010.03429"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-deep-meta-learning-2010.03522</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-deep-meta-learning-2010.03522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-deep-meta-learning-2010.03522"/></url>
<url><loc>https://scifaro.com/en/abs/temp-temporal-message-passing-for-temporal-knowledge-graph-completion-2010.03526</loc><lastmod>2020-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temp-temporal-message-passing-for-temporal-knowledge-graph-completion-2010.03526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temp-temporal-message-passing-for-temporal-knowledge-graph-completion-2010.03526"/></url>
<url><loc>https://scifaro.com/en/abs/episodic-reinforcement-learning-in-finite-mdps-minimax-lower-bounds-revisited-2010.03531</loc><lastmod>2020-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/episodic-reinforcement-learning-in-finite-mdps-minimax-lower-bounds-revisited-2010.03531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/episodic-reinforcement-learning-in-finite-mdps-minimax-lower-bounds-revisited-2010.03531"/></url>
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<url><loc>https://scifaro.com/en/abs/theoretical-analysis-of-self-training-with-deep-networks-on-unlabeled-data-2010.03622</loc><lastmod>2022-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-analysis-of-self-training-with-deep-networks-on-unlabeled-data-2010.03622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-analysis-of-self-training-with-deep-networks-on-unlabeled-data-2010.03622"/></url>
<url><loc>https://scifaro.com/en/abs/online-safety-assurance-for-deep-reinforcement-learning-2010.03625</loc><lastmod>2020-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-safety-assurance-for-deep-reinforcement-learning-2010.03625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-safety-assurance-for-deep-reinforcement-learning-2010.03625"/></url>
<url><loc>https://scifaro.com/en/abs/simplicial-neural-networks-2010.03633</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simplicial-neural-networks-2010.03633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simplicial-neural-networks-2010.03633"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-relational-inference-2010.03635</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-relational-inference-2010.03635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-relational-inference-2010.03635"/></url>
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<url><loc>https://scifaro.com/en/abs/how-out-of-distribution-data-hurts-semi-supervised-learning-2010.03658</loc><lastmod>2023-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-out-of-distribution-data-hurts-semi-supervised-learning-2010.03658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-out-of-distribution-data-hurts-semi-supervised-learning-2010.03658"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-temporal-autoencoder-for-predictive-reconstruction-of-deep-sequences-2010.03661</loc><lastmod>2020-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-temporal-autoencoder-for-predictive-reconstruction-of-deep-sequences-2010.03661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-temporal-autoencoder-for-predictive-reconstruction-of-deep-sequences-2010.03661"/></url>
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<url><loc>https://scifaro.com/en/abs/adversarial-attacks-to-machine-learning-based-smart-healthcare-systems-2010.03671</loc><lastmod>2020-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-to-machine-learning-based-smart-healthcare-systems-2010.03671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-to-machine-learning-based-smart-healthcare-systems-2010.03671"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-inverse-reinforcement-learning-2010.03691</loc><lastmod>2020-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-inverse-reinforcement-learning-2010.03691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-inverse-reinforcement-learning-2010.03691"/></url>
<url><loc>https://scifaro.com/en/abs/an-audio-video-deep-and-transfer-learning-framework-for-multimodal-emotion-recognition-in-the-wild-2010.03692</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-audio-video-deep-and-transfer-learning-framework-for-multimodal-emotion-recognition-in-the-wild-2010.03692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-audio-video-deep-and-transfer-learning-framework-for-multimodal-emotion-recognition-in-the-wild-2010.03692"/></url>
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<url><loc>https://scifaro.com/en/abs/a-critique-of-self-expressive-deep-subspace-clustering-2010.03697</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-critique-of-self-expressive-deep-subspace-clustering-2010.03697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-critique-of-self-expressive-deep-subspace-clustering-2010.03697"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-deep-learning-with-direct-feedback-alignment-2010.03701</loc><lastmod>2020-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-deep-learning-with-direct-feedback-alignment-2010.03701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-deep-learning-with-direct-feedback-alignment-2010.03701"/></url>
<url><loc>https://scifaro.com/en/abs/simplifying-the-explanation-of-deep-neural-networks-with-sufficient-and-necessary-feature-sets-case-of-text-classification-2010.03724</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simplifying-the-explanation-of-deep-neural-networks-with-sufficient-and-necessary-feature-sets-case-of-text-classification-2010.03724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simplifying-the-explanation-of-deep-neural-networks-with-sufficient-and-necessary-feature-sets-case-of-text-classification-2010.03724"/></url>
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<url><loc>https://scifaro.com/en/abs/uncertainty-in-neural-processes-2010.03753</loc><lastmod>2020-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-in-neural-processes-2010.03753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-in-neural-processes-2010.03753"/></url>
<url><loc>https://scifaro.com/en/abs/aicov-an-integrative-deep-learning-framework-for-covid-19-forecasting-with-population-covariates-2010.03757</loc><lastmod>2020-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aicov-an-integrative-deep-learning-framework-for-covid-19-forecasting-with-population-covariates-2010.03757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aicov-an-integrative-deep-learning-framework-for-covid-19-forecasting-with-population-covariates-2010.03757"/></url>
<url><loc>https://scifaro.com/en/abs/energy-based-out-of-distribution-detection-2010.03759</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-based-out-of-distribution-detection-2010.03759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-based-out-of-distribution-detection-2010.03759"/></url>
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<url><loc>https://scifaro.com/en/abs/prioritized-level-replay-2010.03934</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prioritized-level-replay-2010.03934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prioritized-level-replay-2010.03934"/></url>
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<url><loc>https://scifaro.com/en/abs/transformers-for-modeling-physical-systems-2010.03957</loc><lastmod>2021-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformers-for-modeling-physical-systems-2010.03957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformers-for-modeling-physical-systems-2010.03957"/></url>
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<url><loc>https://scifaro.com/en/abs/maximin-optimization-for-binary-regression-2010.05077</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximin-optimization-for-binary-regression-2010.05077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximin-optimization-for-binary-regression-2010.05077"/></url>
<url><loc>https://scifaro.com/en/abs/noise-in-classification-2010.05080</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-in-classification-2010.05080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-in-classification-2010.05080"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-representation-learning-a-framework-and-review-2010.05113</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-representation-learning-a-framework-and-review-2010.05113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-representation-learning-a-framework-and-review-2010.05113"/></url>
<url><loc>https://scifaro.com/en/abs/learning-task-aware-robust-deep-learning-systems-2010.05125</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-task-aware-robust-deep-learning-systems-2010.05125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-task-aware-robust-deep-learning-systems-2010.05125"/></url>
<url><loc>https://scifaro.com/en/abs/an-open-review-of-openreview-a-critical-analysis-of-the-machine-learning-conference-review-process-2010.05137</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-open-review-of-openreview-a-critical-analysis-of-the-machine-learning-conference-review-process-2010.05137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-open-review-of-openreview-a-critical-analysis-of-the-machine-learning-conference-review-process-2010.05137"/></url>
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<url><loc>https://scifaro.com/en/abs/lambda-learner-fast-incremental-learning-on-data-streams-2010.05154</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lambda-learner-fast-incremental-learning-on-data-streams-2010.05154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lambda-learner-fast-incremental-learning-on-data-streams-2010.05154"/></url>
<url><loc>https://scifaro.com/en/abs/a-method-for-handling-multi-class-imbalanced-data-by-geometry-based-information-sampling-and-class-prioritized-synthetic-data-generation-gicaps-2010.05155</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-method-for-handling-multi-class-imbalanced-data-by-geometry-based-information-sampling-and-class-prioritized-synthetic-data-generation-gicaps-2010.05155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-method-for-handling-multi-class-imbalanced-data-by-geometry-based-information-sampling-and-class-prioritized-synthetic-data-generation-gicaps-2010.05155"/></url>
<url><loc>https://scifaro.com/en/abs/robust-fairness-under-covariate-shift-2010.05166</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-fairness-under-covariate-shift-2010.05166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-fairness-under-covariate-shift-2010.05166"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-binarized-neural-networks-for-text-classification-2010.05223</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-binarized-neural-networks-for-text-classification-2010.05223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-binarized-neural-networks-for-text-classification-2010.05223"/></url>
<url><loc>https://scifaro.com/en/abs/a-practical-tutorial-on-graph-neural-networks-2010.05234</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-practical-tutorial-on-graph-neural-networks-2010.05234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-practical-tutorial-on-graph-neural-networks-2010.05234"/></url>
<url><loc>https://scifaro.com/en/abs/advanced-dropout-a-model-free-methodology-for-bayesian-dropout-optimization-2010.05244</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advanced-dropout-a-model-free-methodology-for-bayesian-dropout-optimization-2010.05244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advanced-dropout-a-model-free-methodology-for-bayesian-dropout-optimization-2010.05244"/></url>
<url><loc>https://scifaro.com/en/abs/fast-convergence-of-langevin-dynamics-on-manifold-geodesics-meet-log-sobolev-2010.05263</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-convergence-of-langevin-dynamics-on-manifold-geodesics-meet-log-sobolev-2010.05263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-convergence-of-langevin-dynamics-on-manifold-geodesics-meet-log-sobolev-2010.05263"/></url>
<url><loc>https://scifaro.com/en/abs/a-case-study-on-the-impact-of-dynamic-time-warping-in-time-series-regression-2010.05270</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-case-study-on-the-impact-of-dynamic-time-warping-in-time-series-regression-2010.05270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-case-study-on-the-impact-of-dynamic-time-warping-in-time-series-regression-2010.05270"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-via-posterior-averaging-a-new-perspective-and-practical-algorithms-2010.05273</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-via-posterior-averaging-a-new-perspective-and-practical-algorithms-2010.05273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-via-posterior-averaging-a-new-perspective-and-practical-algorithms-2010.05273"/></url>
<url><loc>https://scifaro.com/en/abs/learning-linear-non-gaussian-graphical-models-with-multidirected-edges-2010.05306</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-linear-non-gaussian-graphical-models-with-multidirected-edges-2010.05306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-linear-non-gaussian-graphical-models-with-multidirected-edges-2010.05306"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-graph-dynamics-with-reinforcement-learning-and-graph-neural-networks-2010.05313</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-graph-dynamics-with-reinforcement-learning-and-graph-neural-networks-2010.05313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-graph-dynamics-with-reinforcement-learning-and-graph-neural-networks-2010.05313"/></url>
<url><loc>https://scifaro.com/en/abs/smyrf-efficient-attention-using-asymmetric-clustering-2010.05315</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smyrf-efficient-attention-using-asymmetric-clustering-2010.05315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smyrf-efficient-attention-using-asymmetric-clustering-2010.05315"/></url>
<url><loc>https://scifaro.com/en/abs/distdgl-distributed-graph-neural-network-training-for-billion-scale-graphs-2010.05337</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distdgl-distributed-graph-neural-network-training-for-billion-scale-graphs-2010.05337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distdgl-distributed-graph-neural-network-training-for-billion-scale-graphs-2010.05337"/></url>
<url><loc>https://scifaro.com/en/abs/local-connectivity-in-centroid-clustering-2010.05353</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-connectivity-in-centroid-clustering-2010.05353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-connectivity-in-centroid-clustering-2010.05353"/></url>
<url><loc>https://scifaro.com/en/abs/early-abandoning-pruneddtw-and-its-application-to-similarity-search-2010.05371</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-abandoning-pruneddtw-and-its-application-to-similarity-search-2010.05371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-abandoning-pruneddtw-and-its-application-to-similarity-search-2010.05371"/></url>
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<url><loc>https://scifaro.com/en/abs/rnn-training-along-locally-optimal-trajectories-via-frank-wolfe-algorithm-2010.05397</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rnn-training-along-locally-optimal-trajectories-via-frank-wolfe-algorithm-2010.05397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rnn-training-along-locally-optimal-trajectories-via-frank-wolfe-algorithm-2010.05397"/></url>
<url><loc>https://scifaro.com/en/abs/locality-preserving-dense-graph-convolutional-networks-with-graph-context-aware-node-representations-2010.05404</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locality-preserving-dense-graph-convolutional-networks-with-graph-context-aware-node-representations-2010.05404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locality-preserving-dense-graph-convolutional-networks-with-graph-context-aware-node-representations-2010.05404"/></url>
<url><loc>https://scifaro.com/en/abs/factorizable-graph-convolutional-networks-2010.05421</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factorizable-graph-convolutional-networks-2010.05421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factorizable-graph-convolutional-networks-2010.05421"/></url>
<url><loc>https://scifaro.com/en/abs/towards-expressive-graph-representation-2010.05427</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-expressive-graph-representation-2010.05427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-expressive-graph-representation-2010.05427"/></url>
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<url><loc>https://scifaro.com/en/abs/deep-echo-state-q-network-deqn-and-its-application-in-dynamic-spectrum-sharing-for-5g-and-beyond-2010.05449</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-echo-state-q-network-deqn-and-its-application-in-dynamic-spectrum-sharing-for-5g-and-beyond-2010.05449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-echo-state-q-network-deqn-and-its-application-in-dynamic-spectrum-sharing-for-5g-and-beyond-2010.05449"/></url>
<url><loc>https://scifaro.com/en/abs/spacetime-autoencoders-using-local-causal-states-2010.05451</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spacetime-autoencoders-using-local-causal-states-2010.05451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spacetime-autoencoders-using-local-causal-states-2010.05451"/></url>
<url><loc>https://scifaro.com/en/abs/joint-adaptive-graph-and-structured-sparsity-regularization-for-unsupervised-feature-selection-2010.05454</loc><lastmod>2022-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-adaptive-graph-and-structured-sparsity-regularization-for-unsupervised-feature-selection-2010.05454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-adaptive-graph-and-structured-sparsity-regularization-for-unsupervised-feature-selection-2010.05454"/></url>
<url><loc>https://scifaro.com/en/abs/the-impact-of-isolation-kernel-on-agglomerative-hierarchical-clustering-algorithms-2010.05473</loc><lastmod>2024-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-impact-of-isolation-kernel-on-agglomerative-hierarchical-clustering-algorithms-2010.05473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-impact-of-isolation-kernel-on-agglomerative-hierarchical-clustering-algorithms-2010.05473"/></url>
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<url><loc>https://scifaro.com/en/abs/explaining-neural-matrix-factorization-with-gradient-rollback-2010.05516</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-neural-matrix-factorization-with-gradient-rollback-2010.05516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-neural-matrix-factorization-with-gradient-rollback-2010.05516"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-with-conditional-variational-autoencoders-2010.05531</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-with-conditional-variational-autoencoders-2010.05531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-with-conditional-variational-autoencoders-2010.05531"/></url>
<url><loc>https://scifaro.com/en/abs/local-search-for-policy-iteration-in-continuous-control-2010.05545</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-search-for-policy-iteration-in-continuous-control-2010.05545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-search-for-policy-iteration-in-continuous-control-2010.05545"/></url>
<url><loc>https://scifaro.com/en/abs/graph-information-bottleneck-for-subgraph-recognition-2010.05563</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-information-bottleneck-for-subgraph-recognition-2010.05563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-information-bottleneck-for-subgraph-recognition-2010.05563"/></url>
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<url><loc>https://scifaro.com/en/abs/cardiac-cohort-classification-based-on-morphologic-and-hemodynamic-parameters-extracted-from-4d-pc-mri-data-2010.05612</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cardiac-cohort-classification-based-on-morphologic-and-hemodynamic-parameters-extracted-from-4d-pc-mri-data-2010.05612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cardiac-cohort-classification-based-on-morphologic-and-hemodynamic-parameters-extracted-from-4d-pc-mri-data-2010.05612"/></url>
<url><loc>https://scifaro.com/en/abs/ell-0-based-sparse-canonical-correlation-analysis-2010.05620</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ell-0-based-sparse-canonical-correlation-analysis-2010.05620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ell-0-based-sparse-canonical-correlation-analysis-2010.05620"/></url>
<url><loc>https://scifaro.com/en/abs/post-training-batchnorm-recalibration-2010.05625</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-training-batchnorm-recalibration-2010.05625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-training-batchnorm-recalibration-2010.05625"/></url>
<url><loc>https://scifaro.com/en/abs/towards-theoretically-understanding-why-sgd-generalizes-better-than-adam-in-deep-learning-2010.05627</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-theoretically-understanding-why-sgd-generalizes-better-than-adam-in-deep-learning-2010.05627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-theoretically-understanding-why-sgd-generalizes-better-than-adam-in-deep-learning-2010.05627"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-generic-query-focused-privacy-preserving-and-update-summarization-using-submodular-information-measures-2010.05631</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-generic-query-focused-privacy-preserving-and-update-summarization-using-submodular-information-measures-2010.05631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-generic-query-focused-privacy-preserving-and-update-summarization-using-submodular-information-measures-2010.05631"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-causal-direction-from-observational-data-a-complexity-approach-2010.05635</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-causal-direction-from-observational-data-a-complexity-approach-2010.05635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-causal-direction-from-observational-data-a-complexity-approach-2010.05635"/></url>
<url><loc>https://scifaro.com/en/abs/k-simplex2vec-a-simplicial-extension-of-node2vec-2010.05636</loc><lastmod>2021-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-simplex2vec-a-simplicial-extension-of-node2vec-2010.05636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-simplex2vec-a-simplicial-extension-of-node2vec-2010.05636"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-time-series-classification-with-hierarchical-variational-graph-pooling-2010.05649</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-time-series-classification-with-hierarchical-variational-graph-pooling-2010.05649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-time-series-classification-with-hierarchical-variational-graph-pooling-2010.05649"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-deep-learning-for-reliable-cardiac-activity-monitoring-using-seismocardiograms-2010.05662</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-deep-learning-for-reliable-cardiac-activity-monitoring-using-seismocardiograms-2010.05662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-deep-learning-for-reliable-cardiac-activity-monitoring-using-seismocardiograms-2010.05662"/></url>
<url><loc>https://scifaro.com/en/abs/is-plug-in-solver-sample-efficient-for-feature-based-reinforcement-learning-2010.05673</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-plug-in-solver-sample-efficient-for-feature-based-reinforcement-learning-2010.05673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-plug-in-solver-sample-efficient-for-feature-based-reinforcement-learning-2010.05673"/></url>
<url><loc>https://scifaro.com/en/abs/from-time-series-to-euclidean-spaces-on-spatial-transformations-for-temporal-clustering-2010.05681</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-time-series-to-euclidean-spaces-on-spatial-transformations-for-temporal-clustering-2010.05681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-time-series-to-euclidean-spaces-on-spatial-transformations-for-temporal-clustering-2010.05681"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-safety-verification-of-neural-networks-2010.05689</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-safety-verification-of-neural-networks-2010.05689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-safety-verification-of-neural-networks-2010.05689"/></url>
<url><loc>https://scifaro.com/en/abs/deep-adversarial-domain-adaptation-based-on-multi-layer-joint-kernelized-distance-2010.05696</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-adversarial-domain-adaptation-based-on-multi-layer-joint-kernelized-distance-2010.05696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-adversarial-domain-adaptation-based-on-multi-layer-joint-kernelized-distance-2010.05696"/></url>
<url><loc>https://scifaro.com/en/abs/deep-autoencoder-based-energy-method-for-the-bending-vibration-and-buckling-analysis-of-kirchhoff-plates-2010.05698</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-autoencoder-based-energy-method-for-the-bending-vibration-and-buckling-analysis-of-kirchhoff-plates-2010.05698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-autoencoder-based-energy-method-for-the-bending-vibration-and-buckling-analysis-of-kirchhoff-plates-2010.05698"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-neural-architecture-search-2010.05719</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-neural-architecture-search-2010.05719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-neural-architecture-search-2010.05719"/></url>
<url><loc>https://scifaro.com/en/abs/descnet-developing-efficient-scratchpad-memories-for-capsule-network-hardware-2010.05754</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/descnet-developing-efficient-scratchpad-memories-for-capsule-network-hardware-2010.05754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/descnet-developing-efficient-scratchpad-memories-for-capsule-network-hardware-2010.05754"/></url>
<url><loc>https://scifaro.com/en/abs/the-risks-of-invariant-risk-minimization-2010.05761</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-risks-of-invariant-risk-minimization-2010.05761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-risks-of-invariant-risk-minimization-2010.05761"/></url>
<url><loc>https://scifaro.com/en/abs/smaller-world-models-for-reinforcement-learning-2010.05767</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smaller-world-models-for-reinforcement-learning-2010.05767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smaller-world-models-for-reinforcement-learning-2010.05767"/></url>
<url><loc>https://scifaro.com/en/abs/parameterized-reinforcement-learning-for-optical-system-optimization-2010.05769</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameterized-reinforcement-learning-for-optical-system-optimization-2010.05769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameterized-reinforcement-learning-for-optical-system-optimization-2010.05769"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-electrical-motor-dynamics-using-encoder-decoder-with-recurrent-skip-connection-2010.05771</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-electrical-motor-dynamics-using-encoder-decoder-with-recurrent-skip-connection-2010.05771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-electrical-motor-dynamics-using-encoder-decoder-with-recurrent-skip-connection-2010.05771"/></url>
<url><loc>https://scifaro.com/en/abs/attendlight-universal-attention-based-reinforcement-learning-model-for-traffic-signal-control-2010.05772</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attendlight-universal-attention-based-reinforcement-learning-model-for-traffic-signal-control-2010.05772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attendlight-universal-attention-based-reinforcement-learning-model-for-traffic-signal-control-2010.05772"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-information-systems-research-2010.05774</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-information-systems-research-2010.05774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-information-systems-research-2010.05774"/></url>
<url><loc>https://scifaro.com/en/abs/capturing-dynamics-of-time-varying-data-via-topology-2010.05780</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capturing-dynamics-of-time-varying-data-via-topology-2010.05780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capturing-dynamics-of-time-varying-data-via-topology-2010.05780"/></url>
<url><loc>https://scifaro.com/en/abs/structural-forecasting-for-tropical-cyclone-intensity-prediction-providing-insight-with-deep-learning-2010.05783</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-forecasting-for-tropical-cyclone-intensity-prediction-providing-insight-with-deep-learning-2010.05783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-forecasting-for-tropical-cyclone-intensity-prediction-providing-insight-with-deep-learning-2010.05783"/></url>
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<url><loc>https://scifaro.com/en/abs/pgm-explainer-probabilistic-graphical-model-explanations-for-graph-neural-networks-2010.05788</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pgm-explainer-probabilistic-graphical-model-explanations-for-graph-neural-networks-2010.05788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pgm-explainer-probabilistic-graphical-model-explanations-for-graph-neural-networks-2010.05788"/></url>
<url><loc>https://scifaro.com/en/abs/permutation-invariant-networks-to-learn-wasserstein-metrics-2010.05820</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/permutation-invariant-networks-to-learn-wasserstein-metrics-2010.05820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/permutation-invariant-networks-to-learn-wasserstein-metrics-2010.05820"/></url>
<url><loc>https://scifaro.com/en/abs/embedded-methods-for-feature-selection-in-neural-networks-2010.05834</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedded-methods-for-feature-selection-in-neural-networks-2010.05834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedded-methods-for-feature-selection-in-neural-networks-2010.05834"/></url>
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<url><loc>https://scifaro.com/en/abs/continual-learning-using-hash-routed-convolutional-neural-networks-2010.05880</loc><lastmod>2020-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-using-hash-routed-convolutional-neural-networks-2010.05880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-using-hash-routed-convolutional-neural-networks-2010.05880"/></url>
<url><loc>https://scifaro.com/en/abs/garfield-system-support-for-byzantine-machine-learning-2010.05888</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/garfield-system-support-for-byzantine-machine-learning-2010.05888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/garfield-system-support-for-byzantine-machine-learning-2010.05888"/></url>
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<url><loc>https://scifaro.com/en/abs/nearly-minimax-optimal-reward-free-reinforcement-learning-2010.05901</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearly-minimax-optimal-reward-free-reinforcement-learning-2010.05901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearly-minimax-optimal-reward-free-reinforcement-learning-2010.05901"/></url>
<url><loc>https://scifaro.com/en/abs/signal-classification-using-weighted-orthogonal-regression-method-2010.05979</loc><lastmod>2020-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signal-classification-using-weighted-orthogonal-regression-method-2010.05979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signal-classification-using-weighted-orthogonal-regression-method-2010.05979"/></url>
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<url><loc>https://scifaro.com/en/abs/an-information-theoretic-perspective-on-overfitting-and-underfitting-2010.06076</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-theoretic-perspective-on-overfitting-and-underfitting-2010.06076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-theoretic-perspective-on-overfitting-and-underfitting-2010.06076"/></url>
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<url><loc>https://scifaro.com/en/abs/fair-n-fair-and-robust-neural-networks-for-structured-data-2010.06113</loc><lastmod>2020-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-n-fair-and-robust-neural-networks-for-structured-data-2010.06113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-n-fair-and-robust-neural-networks-for-structured-data-2010.06113"/></url>
<url><loc>https://scifaro.com/en/abs/to-be-robust-or-to-be-fair-towards-fairness-in-adversarial-training-2010.06121</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-be-robust-or-to-be-fair-towards-fairness-in-adversarial-training-2010.06121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-be-robust-or-to-be-fair-towards-fairness-in-adversarial-training-2010.06121"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-multiobjective-optimization-through-online-learning-2010.06140</loc><lastmod>2022-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-multiobjective-optimization-through-online-learning-2010.06140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-multiobjective-optimization-through-online-learning-2010.06140"/></url>
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<url><loc>https://scifaro.com/en/abs/an-analysis-of-robustness-of-non-lipschitz-networks-2010.06154</loc><lastmod>2023-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analysis-of-robustness-of-non-lipschitz-networks-2010.06154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analysis-of-robustness-of-non-lipschitz-networks-2010.06154"/></url>
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<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-and-transportation-research-a-comprehensive-review-2010.06187</loc><lastmod>2020-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-and-transportation-research-a-comprehensive-review-2010.06187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-and-transportation-research-a-comprehensive-review-2010.06187"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-bfloat16-training-2010.06192</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-bfloat16-training-2010.06192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-bfloat16-training-2010.06192"/></url>
<url><loc>https://scifaro.com/en/abs/s3ml-a-secure-serving-system-for-machine-learning-inference-2010.06212</loc><lastmod>2020-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/s3ml-a-secure-serving-system-for-machine-learning-inference-2010.06212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/s3ml-a-secure-serving-system-for-machine-learning-inference-2010.06212"/></url>
<url><loc>https://scifaro.com/en/abs/direct-federated-neural-architecture-search-2010.06223</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direct-federated-neural-architecture-search-2010.06223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direct-federated-neural-architecture-search-2010.06223"/></url>
<url><loc>https://scifaro.com/en/abs/regret-minimization-in-stochastic-non-convex-learning-via-a-proximal-gradient-approach-2010.06250</loc><lastmod>2020-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-minimization-in-stochastic-non-convex-learning-via-a-proximal-gradient-approach-2010.06250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-minimization-in-stochastic-non-convex-learning-via-a-proximal-gradient-approach-2010.06250"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-reinforcement-learning-for-type-1diabetes-blood-glucose-control-2010.06266</loc><lastmod>2020-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-for-type-1diabetes-blood-glucose-control-2010.06266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-for-type-1diabetes-blood-glucose-control-2010.06266"/></url>
<url><loc>https://scifaro.com/en/abs/controllable-pareto-multi-task-learning-2010.06313</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controllable-pareto-multi-task-learning-2010.06313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controllable-pareto-multi-task-learning-2010.06313"/></url>
<url><loc>https://scifaro.com/en/abs/balancing-constraints-and-rewards-with-meta-gradient-d4pg-2010.06324</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balancing-constraints-and-rewards-with-meta-gradient-d4pg-2010.06324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balancing-constraints-and-rewards-with-meta-gradient-d4pg-2010.06324"/></url>
<url><loc>https://scifaro.com/en/abs/which-model-to-transfer-finding-the-needle-in-the-growing-haystack-2010.06402</loc><lastmod>2022-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-model-to-transfer-finding-the-needle-in-the-growing-haystack-2010.06402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-model-to-transfer-finding-the-needle-in-the-growing-haystack-2010.06402"/></url>
<url><loc>https://scifaro.com/en/abs/credit-card-fraud-detection-using-machine-learning-a-survey-2010.06479</loc><lastmod>2020-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/credit-card-fraud-detection-using-machine-learning-a-survey-2010.06479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/credit-card-fraud-detection-using-machine-learning-a-survey-2010.06479"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneously-forecasting-global-geomagnetic-activity-using-recurrent-networks-2010.06487</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneously-forecasting-global-geomagnetic-activity-using-recurrent-networks-2010.06487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneously-forecasting-global-geomagnetic-activity-using-recurrent-networks-2010.06487"/></url>
<url><loc>https://scifaro.com/en/abs/cross-domain-few-shot-learning-by-representation-fusion-2010.06498</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-domain-few-shot-learning-by-representation-fusion-2010.06498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-domain-few-shot-learning-by-representation-fusion-2010.06498"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-forecaster-with-exogenous-variables-for-day-ahead-locational-marginal-price-2010.06525</loc><lastmod>2020-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-forecaster-with-exogenous-variables-for-day-ahead-locational-marginal-price-2010.06525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-forecaster-with-exogenous-variables-for-day-ahead-locational-marginal-price-2010.06525"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-fairness-of-causal-algorithmic-recourse-2010.06529</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-fairness-of-causal-algorithmic-recourse-2010.06529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-fairness-of-causal-algorithmic-recourse-2010.06529"/></url>
<url><loc>https://scifaro.com/en/abs/impact-of-representation-learning-in-linear-bandits-2010.06531</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impact-of-representation-learning-in-linear-bandits-2010.06531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impact-of-representation-learning-in-linear-bandits-2010.06531"/></url>
<url><loc>https://scifaro.com/en/abs/can-federated-learning-save-the-planet-2010.06537</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-federated-learning-save-the-planet-2010.06537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-federated-learning-save-the-planet-2010.06537"/></url>
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<url><loc>https://scifaro.com/en/abs/training-independent-subnetworks-for-robust-prediction-2010.06610</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-independent-subnetworks-for-robust-prediction-2010.06610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-independent-subnetworks-for-robust-prediction-2010.06610"/></url>
<url><loc>https://scifaro.com/en/abs/succinct-explanations-with-cascading-decision-trees-2010.06631</loc><lastmod>2022-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/succinct-explanations-with-cascading-decision-trees-2010.06631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/succinct-explanations-with-cascading-decision-trees-2010.06631"/></url>
<url><loc>https://scifaro.com/en/abs/higher-order-certification-for-randomized-smoothing-2010.06651</loc><lastmod>2020-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higher-order-certification-for-randomized-smoothing-2010.06651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higher-order-certification-for-randomized-smoothing-2010.06651"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-data-deep-gaussian-mixture-model-a-clustering-model-for-mixed-datasets-2010.06661</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-data-deep-gaussian-mixture-model-a-clustering-model-for-mixed-datasets-2010.06661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-data-deep-gaussian-mixture-model-a-clustering-model-for-mixed-datasets-2010.06661"/></url>
<url><loc>https://scifaro.com/en/abs/chasing-your-long-tails-differentially-private-prediction-in-health-care-settings-2010.06667</loc><lastmod>2020-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chasing-your-long-tails-differentially-private-prediction-in-health-care-settings-2010.06667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chasing-your-long-tails-differentially-private-prediction-in-health-care-settings-2010.06667"/></url>
<url><loc>https://scifaro.com/en/abs/lidam-semi-supervised-learning-with-localized-domain-adaptation-and-iterative-matching-2010.06668</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lidam-semi-supervised-learning-with-localized-domain-adaptation-and-iterative-matching-2010.06668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lidam-semi-supervised-learning-with-localized-domain-adaptation-and-iterative-matching-2010.06668"/></url>
<url><loc>https://scifaro.com/en/abs/motif-learning-in-knowledge-graphs-using-trajectories-of-differential-equations-2010.06684</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/motif-learning-in-knowledge-graphs-using-trajectories-of-differential-equations-2010.06684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/motif-learning-in-knowledge-graphs-using-trajectories-of-differential-equations-2010.06684"/></url>
<url><loc>https://scifaro.com/en/abs/local-differential-privacy-for-bayesian-optimization-2010.06709</loc><lastmod>2020-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-differential-privacy-for-bayesian-optimization-2010.06709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-differential-privacy-for-bayesian-optimization-2010.06709"/></url>
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<url><loc>https://scifaro.com/en/abs/trine-network-representation-learning-for-tripartite-heterogeneous-networks-2010.06816</loc><lastmod>2020-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trine-network-representation-learning-for-tripartite-heterogeneous-networks-2010.06816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trine-network-representation-learning-for-tripartite-heterogeneous-networks-2010.06816"/></url>
<url><loc>https://scifaro.com/en/abs/equitable-allocation-of-healthcare-resources-with-fair-cox-models-2010.06820</loc><lastmod>2020-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equitable-allocation-of-healthcare-resources-with-fair-cox-models-2010.06820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equitable-allocation-of-healthcare-resources-with-fair-cox-models-2010.06820"/></url>
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<url><loc>https://scifaro.com/en/abs/instantembedding-efficient-local-node-representations-2010.06992</loc><lastmod>2020-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instantembedding-efficient-local-node-representations-2010.06992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instantembedding-efficient-local-node-representations-2010.06992"/></url>
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<url><loc>https://scifaro.com/en/abs/measuring-the-originality-of-intellectual-property-assets-based-on-machine-learning-outputs-2010.06997</loc><lastmod>2024-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-the-originality-of-intellectual-property-assets-based-on-machine-learning-outputs-2010.06997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-the-originality-of-intellectual-property-assets-based-on-machine-learning-outputs-2010.06997"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-robust-models-using-the-principle-of-independent-causal-mechanisms-2010.07167</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-robust-models-using-the-principle-of-independent-causal-mechanisms-2010.07167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-robust-models-using-the-principle-of-independent-causal-mechanisms-2010.07167"/></url>
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<url><loc>https://scifaro.com/en/abs/deep-neural-network-training-with-frank-wolfe-2010.07243</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-training-with-frank-wolfe-2010.07243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-training-with-frank-wolfe-2010.07243"/></url>
<url><loc>https://scifaro.com/en/abs/environment-inference-for-invariant-learning-2010.07249</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/environment-inference-for-invariant-learning-2010.07249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/environment-inference-for-invariant-learning-2010.07249"/></url>
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<url><loc>https://scifaro.com/en/abs/masked-contrastive-representation-learning-for-reinforcement-learning-2010.07470</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/masked-contrastive-representation-learning-for-reinforcement-learning-2010.07470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/masked-contrastive-representation-learning-for-reinforcement-learning-2010.07470"/></url>
<url><loc>https://scifaro.com/en/abs/auto-stgcn-autonomous-spatial-temporal-graph-convolutional-network-search-based-on-reinforcement-learning-and-existing-research-results-2010.07474</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-stgcn-autonomous-spatial-temporal-graph-convolutional-network-search-based-on-reinforcement-learning-and-existing-research-results-2010.07474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-stgcn-autonomous-spatial-temporal-graph-convolutional-network-search-based-on-reinforcement-learning-and-existing-research-results-2010.07474"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-the-teacher-student-gap-via-spherical-knowledge-disitllation-2010.07485</loc><lastmod>2021-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-the-teacher-student-gap-via-spherical-knowledge-disitllation-2010.07485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-the-teacher-student-gap-via-spherical-knowledge-disitllation-2010.07485"/></url>
<url><loc>https://scifaro.com/en/abs/retinervenet-using-recursive-deep-learning-to-estimate-pointwise-24-2-visual-field-data-based-on-retinal-structure-2010.07488</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/retinervenet-using-recursive-deep-learning-to-estimate-pointwise-24-2-visual-field-data-based-on-retinal-structure-2010.07488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/retinervenet-using-recursive-deep-learning-to-estimate-pointwise-24-2-visual-field-data-based-on-retinal-structure-2010.07488"/></url>
<url><loc>https://scifaro.com/en/abs/reverse-engineering-imperceptible-backdoor-attacks-on-deep-neural-networks-for-detection-and-training-set-cleansing-2010.07489</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reverse-engineering-imperceptible-backdoor-attacks-on-deep-neural-networks-for-detection-and-training-set-cleansing-2010.07489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reverse-engineering-imperceptible-backdoor-attacks-on-deep-neural-networks-for-detection-and-training-set-cleansing-2010.07489"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-transfer-in-multi-task-deep-reinforcement-learning-for-continuous-control-2010.07494</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-transfer-in-multi-task-deep-reinforcement-learning-for-continuous-control-2010.07494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-transfer-in-multi-task-deep-reinforcement-learning-for-continuous-control-2010.07494"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-spatio-temporal-graph-convolutional-network-for-traffic-forecasting-2010.07498</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-spatio-temporal-graph-convolutional-network-for-traffic-forecasting-2010.07498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-spatio-temporal-graph-convolutional-network-for-traffic-forecasting-2010.07498"/></url>
<url><loc>https://scifaro.com/en/abs/certifying-neural-network-robustness-to-random-input-noise-from-samples-2010.07532</loc><lastmod>2023-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certifying-neural-network-robustness-to-random-input-noise-from-samples-2010.07532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certifying-neural-network-robustness-to-random-input-noise-from-samples-2010.07532"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-of-koopman-representation-for-control-2010.07546</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-of-koopman-representation-for-control-2010.07546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-of-koopman-representation-for-control-2010.07546"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-deep-unfolded-network-for-sparse-signal-recovery-from-noisy-binary-measurements-2010.07564</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-deep-unfolded-network-for-sparse-signal-recovery-from-noisy-binary-measurements-2010.07564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-deep-unfolded-network-for-sparse-signal-recovery-from-noisy-binary-measurements-2010.07564"/></url>
<url><loc>https://scifaro.com/en/abs/bi-gcn-binary-graph-convolutional-network-2010.07565</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bi-gcn-binary-graph-convolutional-network-2010.07565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bi-gcn-binary-graph-convolutional-network-2010.07565"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-projection-free-online-learning-the-strongly-convex-case-2010.07572</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-projection-free-online-learning-the-strongly-convex-case-2010.07572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-projection-free-online-learning-the-strongly-convex-case-2010.07572"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-hierarchical-clustering-2010.07573</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-hierarchical-clustering-2010.07573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-hierarchical-clustering-2010.07573"/></url>
<url><loc>https://scifaro.com/en/abs/depth-width-trade-offs-for-neural-networks-via-topological-entropy-2010.07587</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depth-width-trade-offs-for-neural-networks-via-topological-entropy-2010.07587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depth-width-trade-offs-for-neural-networks-via-topological-entropy-2010.07587"/></url>
<url><loc>https://scifaro.com/en/abs/respecting-domain-relations-hypothesis-invariance-for-domain-generalization-2010.07591</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/respecting-domain-relations-hypothesis-invariance-for-domain-generalization-2010.07591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/respecting-domain-relations-hypothesis-invariance-for-domain-generalization-2010.07591"/></url>
<url><loc>https://scifaro.com/en/abs/layer-adaptive-sparsity-for-the-magnitude-based-pruning-2010.07611</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layer-adaptive-sparsity-for-the-magnitude-based-pruning-2010.07611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layer-adaptive-sparsity-for-the-magnitude-based-pruning-2010.07611"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-epsilon-greedy-bayesian-optimisation-2010.07615</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-epsilon-greedy-bayesian-optimisation-2010.07615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-epsilon-greedy-bayesian-optimisation-2010.07615"/></url>
<url><loc>https://scifaro.com/en/abs/altruist-argumentative-explanations-through-local-interpretations-of-predictive-models-2010.07650</loc><lastmod>2022-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/altruist-argumentative-explanations-through-local-interpretations-of-predictive-models-2010.07650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/altruist-argumentative-explanations-through-local-interpretations-of-predictive-models-2010.07650"/></url>
<url><loc>https://scifaro.com/en/abs/instrumental-variable-regression-via-kernel-maximum-moment-loss-2010.07684</loc><lastmod>2023-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instrumental-variable-regression-via-kernel-maximum-moment-loss-2010.07684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instrumental-variable-regression-via-kernel-maximum-moment-loss-2010.07684"/></url>
<url><loc>https://scifaro.com/en/abs/linking-average-and-worst-case-perturbation-robustness-via-class-selectivity-and-dimensionality-2010.07693</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linking-average-and-worst-case-perturbation-robustness-via-class-selectivity-and-dimensionality-2010.07693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linking-average-and-worst-case-perturbation-robustness-via-class-selectivity-and-dimensionality-2010.07693"/></url>
<url><loc>https://scifaro.com/en/abs/r-gap-recursive-gradient-attack-on-privacy-2010.07733</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/r-gap-recursive-gradient-attack-on-privacy-2010.07733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/r-gap-recursive-gradient-attack-on-privacy-2010.07733"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-level-generation-and-game-blending-2010.07735</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-level-generation-and-game-blending-2010.07735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-level-generation-and-game-blending-2010.07735"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-convolutional-neural-network-for-the-surrogate-modeling-of-subsurface-flow-simulation-2010.07747</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-convolutional-neural-network-for-the-surrogate-modeling-of-subsurface-flow-simulation-2010.07747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-convolutional-neural-network-for-the-surrogate-modeling-of-subsurface-flow-simulation-2010.07747"/></url>
<url><loc>https://scifaro.com/en/abs/on-convergence-of-nearest-neighbor-classifiers-over-feature-transformations-2010.07765</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-convergence-of-nearest-neighbor-classifiers-over-feature-transformations-2010.07765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-convergence-of-nearest-neighbor-classifiers-over-feature-transformations-2010.07765"/></url>
<url><loc>https://scifaro.com/en/abs/a-game-theoretic-analysis-of-networked-system-control-for-common-pool-resource-management-using-multi-agent-reinforcement-learning-2010.07777</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-game-theoretic-analysis-of-networked-system-control-for-common-pool-resource-management-using-multi-agent-reinforcement-learning-2010.07777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-game-theoretic-analysis-of-networked-system-control-for-common-pool-resource-management-using-multi-agent-reinforcement-learning-2010.07777"/></url>
<url><loc>https://scifaro.com/en/abs/local-differential-privacy-for-regret-minimization-in-reinforcement-learning-2010.07778</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-differential-privacy-for-regret-minimization-in-reinforcement-learning-2010.07778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-differential-privacy-for-regret-minimization-in-reinforcement-learning-2010.07778"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-and-universal-algorithms-for-variational-inequalities-with-optimal-convergence-2010.07799</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-and-universal-algorithms-for-variational-inequalities-with-optimal-convergence-2010.07799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-and-universal-algorithms-for-variational-inequalities-with-optimal-convergence-2010.07799"/></url>
<url><loc>https://scifaro.com/en/abs/spiking-neural-networks-with-single-spike-temporal-coded-neurons-for-network-intrusion-detection-2010.07803</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spiking-neural-networks-with-single-spike-temporal-coded-neurons-for-network-intrusion-detection-2010.07803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spiking-neural-networks-with-single-spike-temporal-coded-neurons-for-network-intrusion-detection-2010.07803"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-deep-learning-model-using-rule-based-method-2010.07824</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-deep-learning-model-using-rule-based-method-2010.07824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-deep-learning-model-using-rule-based-method-2010.07824"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-on-real-geophysical-data-a-case-study-for-distributed-acoustic-sensing-research-2010.07842</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-on-real-geophysical-data-a-case-study-for-distributed-acoustic-sensing-research-2010.07842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-on-real-geophysical-data-a-case-study-for-distributed-acoustic-sensing-research-2010.07842"/></url>
<url><loc>https://scifaro.com/en/abs/selective-classification-via-one-sided-prediction-2010.07853</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-classification-via-one-sided-prediction-2010.07853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-classification-via-one-sided-prediction-2010.07853"/></url>
<url><loc>https://scifaro.com/en/abs/bi-level-score-matching-for-learning-energy-based-latent-variable-models-2010.07856</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bi-level-score-matching-for-learning-energy-based-latent-variable-models-2010.07856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bi-level-score-matching-for-learning-energy-based-latent-variable-models-2010.07856"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-flip-flop-memories-and-beyond-training-recurrent-neural-networks-with-key-insights-2010.07858</loc><lastmod>2023-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-flip-flop-memories-and-beyond-training-recurrent-neural-networks-with-key-insights-2010.07858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-flip-flop-memories-and-beyond-training-recurrent-neural-networks-with-key-insights-2010.07858"/></url>
<url><loc>https://scifaro.com/en/abs/deep-conditional-transformation-models-2010.07860</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-conditional-transformation-models-2010.07860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-conditional-transformation-models-2010.07860"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-modeling-in-network-science-with-applications-to-public-policy-research-2010.07870</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-modeling-in-network-science-with-applications-to-public-policy-research-2010.07870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-modeling-in-network-science-with-applications-to-public-policy-research-2010.07870"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-multilayer-perceptrons-as-piecewise-low-order-polynomial-approximators-a-signal-processing-approach-2010.07871</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-multilayer-perceptrons-as-piecewise-low-order-polynomial-approximators-a-signal-processing-approach-2010.07871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-multilayer-perceptrons-as-piecewise-low-order-polynomial-approximators-a-signal-processing-approach-2010.07871"/></url>
<url><loc>https://scifaro.com/en/abs/neograd-near-ideal-gradient-descent-2010.07873</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neograd-near-ideal-gradient-descent-2010.07873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neograd-near-ideal-gradient-descent-2010.07873"/></url>
<url><loc>https://scifaro.com/en/abs/avoiding-side-effects-by-considering-future-tasks-2010.07877</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avoiding-side-effects-by-considering-future-tasks-2010.07877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avoiding-side-effects-by-considering-future-tasks-2010.07877"/></url>
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<url><loc>https://scifaro.com/en/abs/rainfall-runoff-prediction-at-multiple-timescales-with-a-single-long-short-term-memory-network-2010.07921</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rainfall-runoff-prediction-at-multiple-timescales-with-a-single-long-short-term-memory-network-2010.07921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rainfall-runoff-prediction-at-multiple-timescales-with-a-single-long-short-term-memory-network-2010.07921"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-via-invariant-causal-mechanisms-2010.07922</loc><lastmod>2020-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-via-invariant-causal-mechanisms-2010.07922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-via-invariant-causal-mechanisms-2010.07922"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-nmf-models-for-topic-modeling-in-learning-tasks-2010.07956</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-nmf-models-for-topic-modeling-in-learning-tasks-2010.07956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-nmf-models-for-topic-modeling-in-learning-tasks-2010.07956"/></url>
<url><loc>https://scifaro.com/en/abs/bilevel-optimization-convergence-analysis-and-enhanced-design-2010.07962</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bilevel-optimization-convergence-analysis-and-enhanced-design-2010.07962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bilevel-optimization-convergence-analysis-and-enhanced-design-2010.07962"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-study-of-transformers-for-source-code-2010.07987</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-study-of-transformers-for-source-code-2010.07987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-study-of-transformers-for-source-code-2010.07987"/></url>
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<url><loc>https://scifaro.com/en/abs/alpaca-vs-gp-based-prior-learning-a-comparison-between-two-bayesian-meta-learning-algorithms-2010.07994</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alpaca-vs-gp-based-prior-learning-a-comparison-between-two-bayesian-meta-learning-algorithms-2010.07994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alpaca-vs-gp-based-prior-learning-a-comparison-between-two-bayesian-meta-learning-algorithms-2010.07994"/></url>
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<url><loc>https://scifaro.com/en/abs/data-valuation-for-medical-imaging-using-shapley-value-application-on-a-large-scale-chest-x-ray-dataset-2010.08006</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-valuation-for-medical-imaging-using-shapley-value-application-on-a-large-scale-chest-x-ray-dataset-2010.08006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-valuation-for-medical-imaging-using-shapley-value-application-on-a-large-scale-chest-x-ray-dataset-2010.08006"/></url>
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<url><loc>https://scifaro.com/en/abs/consistent-feature-selection-for-analytic-deep-neural-networks-2010.08097</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-feature-selection-for-analytic-deep-neural-networks-2010.08097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-feature-selection-for-analytic-deep-neural-networks-2010.08097"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-representations-of-entities-in-open-world-knowledge-graphs-2010.08114</loc><lastmod>2024-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-representations-of-entities-in-open-world-knowledge-graphs-2010.08114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-representations-of-entities-in-open-world-knowledge-graphs-2010.08114"/></url>
<url><loc>https://scifaro.com/en/abs/the-deep-bootstrap-framework-good-online-learners-are-good-offline-generalizers-2010.08127</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-deep-bootstrap-framework-good-online-learners-are-good-offline-generalizers-2010.08127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-deep-bootstrap-framework-good-online-learners-are-good-offline-generalizers-2010.08127"/></url>
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<url><loc>https://scifaro.com/en/abs/online-and-customizable-fairness-aware-learning-2010.08146</loc><lastmod>2025-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-and-customizable-fairness-aware-learning-2010.08146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-and-customizable-fairness-aware-learning-2010.08146"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-exact-computation-of-linear-frequency-principle-dynamics-and-its-generalization-2010.08153</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-exact-computation-of-linear-frequency-principle-dynamics-and-its-generalization-2010.08153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-exact-computation-of-linear-frequency-principle-dynamics-and-its-generalization-2010.08153"/></url>
<url><loc>https://scifaro.com/en/abs/an-accurate-and-fully-automated-ensemble-model-for-weekly-time-series-forecasting-2010.08158</loc><lastmod>2023-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-accurate-and-fully-automated-ensemble-model-for-weekly-time-series-forecasting-2010.08158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-accurate-and-fully-automated-ensemble-model-for-weekly-time-series-forecasting-2010.08158"/></url>
<url><loc>https://scifaro.com/en/abs/aldataset-a-benchmark-for-pool-based-active-learning-2010.08161</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aldataset-a-benchmark-for-pool-based-active-learning-2010.08161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aldataset-a-benchmark-for-pool-based-active-learning-2010.08161"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalizable-and-accessible-approach-to-machine-learning-with-global-satellite-imagery-2010.08168</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalizable-and-accessible-approach-to-machine-learning-with-global-satellite-imagery-2010.08168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalizable-and-accessible-approach-to-machine-learning-with-global-satellite-imagery-2010.08168"/></url>
<url><loc>https://scifaro.com/en/abs/projection-free-online-learning-over-strongly-convex-sets-2010.08177</loc><lastmod>2024-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projection-free-online-learning-over-strongly-convex-sets-2010.08177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projection-free-online-learning-over-strongly-convex-sets-2010.08177"/></url>
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<url><loc>https://scifaro.com/en/abs/how-does-supernet-help-in-neural-architecture-search-2010.08219</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-does-supernet-help-in-neural-architecture-search-2010.08219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-does-supernet-help-in-neural-architecture-search-2010.08219"/></url>
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<url><loc>https://scifaro.com/en/abs/auxiliary-task-reweighting-for-minimum-data-learning-2010.08244</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auxiliary-task-reweighting-for-minimum-data-learning-2010.08244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auxiliary-task-reweighting-for-minimum-data-learning-2010.08244"/></url>
<url><loc>https://scifaro.com/en/abs/filtered-batch-normalization-2010.08251</loc><lastmod>2020-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/filtered-batch-normalization-2010.08251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/filtered-batch-normalization-2010.08251"/></url>
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<url><loc>https://scifaro.com/en/abs/eric-extracting-relations-inferred-from-convolutions-2010.09452</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eric-extracting-relations-inferred-from-convolutions-2010.09452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eric-extracting-relations-inferred-from-convolutions-2010.09452"/></url>
<url><loc>https://scifaro.com/en/abs/review-and-comparison-of-commonly-used-activation-functions-for-deep-neural-networks-2010.09458</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/review-and-comparison-of-commonly-used-activation-functions-for-deep-neural-networks-2010.09458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/review-and-comparison-of-commonly-used-activation-functions-for-deep-neural-networks-2010.09458"/></url>
<url><loc>https://scifaro.com/en/abs/maps-for-learning-indexable-classes-2010.09460</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maps-for-learning-indexable-classes-2010.09460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maps-for-learning-indexable-classes-2010.09460"/></url>
<url><loc>https://scifaro.com/en/abs/normal-forms-for-semantically-witness-based-learners-in-inductive-inference-2010.09461</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normal-forms-for-semantically-witness-based-learners-in-inductive-inference-2010.09461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normal-forms-for-semantically-witness-based-learners-in-inductive-inference-2010.09461"/></url>
<url><loc>https://scifaro.com/en/abs/mapping-monotonic-restrictions-in-inductive-inference-2010.09464</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mapping-monotonic-restrictions-in-inductive-inference-2010.09464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mapping-monotonic-restrictions-in-inductive-inference-2010.09464"/></url>
<url><loc>https://scifaro.com/en/abs/a-nesterov-s-accelerated-quasi-newton-method-for-global-routing-using-deep-reinforcement-learning-2010.09465</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nesterov-s-accelerated-quasi-newton-method-for-global-routing-using-deep-reinforcement-learning-2010.09465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nesterov-s-accelerated-quasi-newton-method-for-global-routing-using-deep-reinforcement-learning-2010.09465"/></url>
<url><loc>https://scifaro.com/en/abs/arena-a-data-driven-radio-access-networks-analysis-of-football-events-2010.09467</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arena-a-data-driven-radio-access-networks-analysis-of-football-events-2010.09467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arena-a-data-driven-radio-access-networks-analysis-of-football-events-2010.09467"/></url>
<url><loc>https://scifaro.com/en/abs/chance-constrained-control-with-lexicographic-deep-reinforcement-learning-2010.09468</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chance-constrained-control-with-lexicographic-deep-reinforcement-learning-2010.09468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chance-constrained-control-with-lexicographic-deep-reinforcement-learning-2010.09468"/></url>
<url><loc>https://scifaro.com/en/abs/a-point-cloud-deep-learning-framework-for-prediction-of-fluid-flow-fields-on-irregular-geometries-2010.09469</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-point-cloud-deep-learning-framework-for-prediction-of-fluid-flow-fields-on-irregular-geometries-2010.09469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-point-cloud-deep-learning-framework-for-prediction-of-fluid-flow-fields-on-irregular-geometries-2010.09469"/></url>
<url><loc>https://scifaro.com/en/abs/spect-imaging-reconstruction-method-based-on-deep-convolutional-neural-network-2010.09472</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spect-imaging-reconstruction-method-based-on-deep-convolutional-neural-network-2010.09472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spect-imaging-reconstruction-method-based-on-deep-convolutional-neural-network-2010.09472"/></url>
<url><loc>https://scifaro.com/en/abs/double-linear-thompson-sampling-for-context-attentive-bandits-2010.09473</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-linear-thompson-sampling-for-context-attentive-bandits-2010.09473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-linear-thompson-sampling-for-context-attentive-bandits-2010.09473"/></url>
<url><loc>https://scifaro.com/en/abs/aerodynamic-data-predictions-based-on-multi-task-learning-2010.09475</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aerodynamic-data-predictions-based-on-multi-task-learning-2010.09475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aerodynamic-data-predictions-based-on-multi-task-learning-2010.09475"/></url>
<url><loc>https://scifaro.com/en/abs/multi-armed-bandits-with-dependent-arms-2010.09478</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-armed-bandits-with-dependent-arms-2010.09478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-armed-bandits-with-dependent-arms-2010.09478"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-bounds-on-transfer-generalization-gap-based-on-jensen-shannon-divergence-2010.09484</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-bounds-on-transfer-generalization-gap-based-on-jensen-shannon-divergence-2010.09484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-bounds-on-transfer-generalization-gap-based-on-jensen-shannon-divergence-2010.09484"/></url>
<url><loc>https://scifaro.com/en/abs/stationary-activations-for-uncertainty-calibration-in-deep-learning-2010.09494</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stationary-activations-for-uncertainty-calibration-in-deep-learning-2010.09494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stationary-activations-for-uncertainty-calibration-in-deep-learning-2010.09494"/></url>
<url><loc>https://scifaro.com/en/abs/blending-search-and-discovery-tag-based-query-refinement-with-contextual-reinforcement-learning-2010.09495</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blending-search-and-discovery-tag-based-query-refinement-with-contextual-reinforcement-learning-2010.09495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blending-search-and-discovery-tag-based-query-refinement-with-contextual-reinforcement-learning-2010.09495"/></url>
<url><loc>https://scifaro.com/en/abs/improving-transformation-invariance-in-contrastive-representation-learning-2010.09515</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-transformation-invariance-in-contrastive-representation-learning-2010.09515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-transformation-invariance-in-contrastive-representation-learning-2010.09515"/></url>
<url><loc>https://scifaro.com/en/abs/what-about-inputing-policy-in-value-function-policy-representation-and-policy-extended-value-function-approximator-2010.09536</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-about-inputing-policy-in-value-function-policy-representation-and-policy-extended-value-function-approximator-2010.09536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-about-inputing-policy-in-value-function-policy-representation-and-policy-extended-value-function-approximator-2010.09536"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-policy-optimization-with-unsupervised-model-adaptation-2010.09546</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-policy-optimization-with-unsupervised-model-adaptation-2010.09546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-policy-optimization-with-unsupervised-model-adaptation-2010.09546"/></url>
<url><loc>https://scifaro.com/en/abs/survey-on-causal-based-machine-learning-fairness-notions-2010.09553</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survey-on-causal-based-machine-learning-fairness-notions-2010.09553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survey-on-causal-based-machine-learning-fairness-notions-2010.09553"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-neural-networks-with-soft-evidence-2010.09570</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-neural-networks-with-soft-evidence-2010.09570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-neural-networks-with-soft-evidence-2010.09570"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-evaluation-of-the-echo-chamber-effect-in-medical-forums-2010.09574</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-evaluation-of-the-echo-chamber-effect-in-medical-forums-2010.09574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-evaluation-of-the-echo-chamber-effect-in-medical-forums-2010.09574"/></url>
<url><loc>https://scifaro.com/en/abs/gans-for-learning-from-very-high-class-conditional-noisy-labels-2010.09577</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gans-for-learning-from-very-high-class-conditional-noisy-labels-2010.09577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gans-for-learning-from-very-high-class-conditional-noisy-labels-2010.09577"/></url>
<url><loc>https://scifaro.com/en/abs/faster-convergence-of-stochastic-gradient-langevin-dynamics-for-non-log-concave-sampling-2010.09597</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-convergence-of-stochastic-gradient-langevin-dynamics-for-non-log-concave-sampling-2010.09597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-convergence-of-stochastic-gradient-langevin-dynamics-for-non-log-concave-sampling-2010.09597"/></url>
<url><loc>https://scifaro.com/en/abs/increasing-depth-leads-to-u-shaped-test-risk-in-over-parameterized-convolutional-networks-2010.09610</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/increasing-depth-leads-to-u-shaped-test-risk-in-over-parameterized-convolutional-networks-2010.09610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/increasing-depth-leads-to-u-shaped-test-risk-in-over-parameterized-convolutional-networks-2010.09610"/></url>
<url><loc>https://scifaro.com/en/abs/importance-reweighting-for-biquality-learning-2010.09621</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-reweighting-for-biquality-learning-2010.09621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-reweighting-for-biquality-learning-2010.09621"/></url>
<url><loc>https://scifaro.com/en/abs/optimism-in-the-face-of-adversity-understanding-and-improving-deep-learning-through-adversarial-robustness-2010.09624</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimism-in-the-face-of-adversity-understanding-and-improving-deep-learning-through-adversarial-robustness-2010.09624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimism-in-the-face-of-adversity-understanding-and-improving-deep-learning-through-adversarial-robustness-2010.09624"/></url>
<url><loc>https://scifaro.com/en/abs/pac-m-bayes-narrowing-the-empirical-risk-gap-in-the-misspecified-bayesian-regime-2010.09629</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-m-bayes-narrowing-the-empirical-risk-gap-in-the-misspecified-bayesian-regime-2010.09629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-m-bayes-narrowing-the-empirical-risk-gap-in-the-misspecified-bayesian-regime-2010.09629"/></url>
<url><loc>https://scifaro.com/en/abs/verifying-the-causes-of-adversarial-examples-2010.09633</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/verifying-the-causes-of-adversarial-examples-2010.09633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/verifying-the-causes-of-adversarial-examples-2010.09633"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-batch-active-learning-via-bilevel-optimization-2010.09654</loc><lastmod>2020-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-batch-active-learning-via-bilevel-optimization-2010.09654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-batch-active-learning-via-bilevel-optimization-2010.09654"/></url>
<url><loc>https://scifaro.com/en/abs/robustbench-a-standardized-adversarial-robustness-benchmark-2010.09670</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustbench-a-standardized-adversarial-robustness-benchmark-2010.09670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustbench-a-standardized-adversarial-robustness-benchmark-2010.09670"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-linear-solvers-for-machine-learning-2010.09691</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-linear-solvers-for-machine-learning-2010.09691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-linear-solvers-for-machine-learning-2010.09691"/></url>
<url><loc>https://scifaro.com/en/abs/data-assimilation-networks-2010.09694</loc><lastmod>2023-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-assimilation-networks-2010.09694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-assimilation-networks-2010.09694"/></url>
<url><loc>https://scifaro.com/en/abs/effects-of-parameter-norm-growth-during-transformer-training-inductive-bias-from-gradient-descent-2010.09697</loc><lastmod>2023-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effects-of-parameter-norm-growth-during-transformer-training-inductive-bias-from-gradient-descent-2010.09697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effects-of-parameter-norm-growth-during-transformer-training-inductive-bias-from-gradient-descent-2010.09697"/></url>
<url><loc>https://scifaro.com/en/abs/learning-by-competition-of-self-interested-reinforcement-learning-agents-2010.09770</loc><lastmod>2021-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-by-competition-of-self-interested-reinforcement-learning-agents-2010.09770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-by-competition-of-self-interested-reinforcement-learning-agents-2010.09770"/></url>
<url><loc>https://scifaro.com/en/abs/imitation-with-neural-density-models-2010.09808</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitation-with-neural-density-models-2010.09808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitation-with-neural-density-models-2010.09808"/></url>
<url><loc>https://scifaro.com/en/abs/connections-between-relational-event-model-and-inverse-reinforcement-learning-for-characterizing-group-interaction-sequences-2010.09810</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/connections-between-relational-event-model-and-inverse-reinforcement-learning-for-characterizing-group-interaction-sequences-2010.09810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/connections-between-relational-event-model-and-inverse-reinforcement-learning-for-characterizing-group-interaction-sequences-2010.09810"/></url>
<url><loc>https://scifaro.com/en/abs/online-active-model-selection-for-pre-trained-classifiers-2010.09818</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-active-model-selection-for-pre-trained-classifiers-2010.09818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-active-model-selection-for-pre-trained-classifiers-2010.09818"/></url>
<url><loc>https://scifaro.com/en/abs/dream-and-search-to-control-latent-space-planning-for-continuous-control-2010.09832</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dream-and-search-to-control-latent-space-planning-for-continuous-control-2010.09832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dream-and-search-to-control-latent-space-planning-for-continuous-control-2010.09832"/></url>
<url><loc>https://scifaro.com/en/abs/topology-aware-graph-pooling-networks-2010.09834</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topology-aware-graph-pooling-networks-2010.09834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topology-aware-graph-pooling-networks-2010.09834"/></url>
<url><loc>https://scifaro.com/en/abs/new-properties-of-the-data-distillation-method-when-working-with-tabular-data-2010.09839</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-properties-of-the-data-distillation-method-when-working-with-tabular-data-2010.09839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-properties-of-the-data-distillation-method-when-working-with-tabular-data-2010.09839"/></url>
<url><loc>https://scifaro.com/en/abs/idle-vehicle-relocation-strategy-through-deep-learning-for-shared-autonomous-electric-vehicle-system-optimization-2010.09847</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/idle-vehicle-relocation-strategy-through-deep-learning-for-shared-autonomous-electric-vehicle-system-optimization-2010.09847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/idle-vehicle-relocation-strategy-through-deep-learning-for-shared-autonomous-electric-vehicle-system-optimization-2010.09847"/></url>
<url><loc>https://scifaro.com/en/abs/failure-prediction-by-confidence-estimation-of-uncertainty-aware-dirichlet-networks-2010.09865</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/failure-prediction-by-confidence-estimation-of-uncertainty-aware-dirichlet-networks-2010.09865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/failure-prediction-by-confidence-estimation-of-uncertainty-aware-dirichlet-networks-2010.09865"/></url>
<url><loc>https://scifaro.com/en/abs/combining-ensembles-and-data-augmentation-can-harm-your-calibration-2010.09875</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-ensembles-and-data-augmentation-can-harm-your-calibration-2010.09875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-ensembles-and-data-augmentation-can-harm-your-calibration-2010.09875"/></url>
<url><loc>https://scifaro.com/en/abs/chemberta-large-scale-self-supervised-pretraining-for-molecular-property-prediction-2010.09885</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chemberta-large-scale-self-supervised-pretraining-for-molecular-property-prediction-2010.09885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chemberta-large-scale-self-supervised-pretraining-for-molecular-property-prediction-2010.09885"/></url>
<url><loc>https://scifaro.com/en/abs/non-parametric-binary-regression-in-metric-spaces-with-kl-loss-2010.09886</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-parametric-binary-regression-in-metric-spaces-with-kl-loss-2010.09886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-parametric-binary-regression-in-metric-spaces-with-kl-loss-2010.09886"/></url>
<url><loc>https://scifaro.com/en/abs/how-much-progress-have-we-made-in-neural-network-training-a-new-evaluation-protocol-for-benchmarking-optimizers-2010.09889</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-much-progress-have-we-made-in-neural-network-training-a-new-evaluation-protocol-for-benchmarking-optimizers-2010.09889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-much-progress-have-we-made-in-neural-network-training-a-new-evaluation-protocol-for-benchmarking-optimizers-2010.09889"/></url>
<url><loc>https://scifaro.com/en/abs/robust-optimization-as-data-augmentation-for-large-scale-graphs-2010.09891</loc><lastmod>2022-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-optimization-as-data-augmentation-for-large-scale-graphs-2010.09891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-optimization-as-data-augmentation-for-large-scale-graphs-2010.09891"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-youtube-communities-via-subscription-based-channel-embeddings-2010.09892</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-youtube-communities-via-subscription-based-channel-embeddings-2010.09892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-youtube-communities-via-subscription-based-channel-embeddings-2010.09892"/></url>
<url><loc>https://scifaro.com/en/abs/product-manifold-learning-2010.09908</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/product-manifold-learning-2010.09908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/product-manifold-learning-2010.09908"/></url>
<url><loc>https://scifaro.com/en/abs/sufficient-dimension-reduction-for-classification-using-principal-optimal-transport-direction-2010.09921</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sufficient-dimension-reduction-for-classification-using-principal-optimal-transport-direction-2010.09921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sufficient-dimension-reduction-for-classification-using-principal-optimal-transport-direction-2010.09921"/></url>
<url><loc>https://scifaro.com/en/abs/anti-distillation-improving-reproducibility-of-deep-networks-2010.09923</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anti-distillation-improving-reproducibility-of-deep-networks-2010.09923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anti-distillation-improving-reproducibility-of-deep-networks-2010.09923"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-activations-and-reproducibility-in-deep-networks-2010.09931</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-activations-and-reproducibility-in-deep-networks-2010.09931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-activations-and-reproducibility-in-deep-networks-2010.09931"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-policy-gradient-ppo-with-policy-gradient-2010.09933</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-policy-gradient-ppo-with-policy-gradient-2010.09933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-policy-gradient-ppo-with-policy-gradient-2010.09933"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-selective-manifold-regularized-matrix-factorization-2010.09936</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-selective-manifold-regularized-matrix-factorization-2010.09936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-selective-manifold-regularized-matrix-factorization-2010.09936"/></url>
<url><loc>https://scifaro.com/en/abs/early-detection-of-sepsis-using-ensemblers-2010.09938</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-detection-of-sepsis-using-ensemblers-2010.09938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-detection-of-sepsis-using-ensemblers-2010.09938"/></url>
<url><loc>https://scifaro.com/en/abs/pond-pessimistic-optimistic-online-dispatching-2010.09995</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pond-pessimistic-optimistic-online-dispatching-2010.09995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pond-pessimistic-optimistic-online-dispatching-2010.09995"/></url>
<url><loc>https://scifaro.com/en/abs/preference-based-batch-and-sequential-teaching-2010.10012</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preference-based-batch-and-sequential-teaching-2010.10012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preference-based-batch-and-sequential-teaching-2010.10012"/></url>
<url><loc>https://scifaro.com/en/abs/training-generative-adversarial-networks-via-stochastic-nash-games-2010.10013</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-generative-adversarial-networks-via-stochastic-nash-games-2010.10013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-generative-adversarial-networks-via-stochastic-nash-games-2010.10013"/></url>
<url><loc>https://scifaro.com/en/abs/action-sequence-augmentation-for-early-graph-based-anomaly-detection-2010.10016</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/action-sequence-augmentation-for-early-graph-based-anomaly-detection-2010.10016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/action-sequence-augmentation-for-early-graph-based-anomaly-detection-2010.10016"/></url>
<url><loc>https://scifaro.com/en/abs/connecting-weighted-automata-tensor-networks-and-recurrent-neural-networks-through-spectral-learning-2010.10029</loc><lastmod>2022-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/connecting-weighted-automata-tensor-networks-and-recurrent-neural-networks-through-spectral-learning-2010.10029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/connecting-weighted-automata-tensor-networks-and-recurrent-neural-networks-through-spectral-learning-2010.10029"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-adversarial-robustness-of-lasso-based-feature-selection-2010.10045</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-adversarial-robustness-of-lasso-based-feature-selection-2010.10045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-adversarial-robustness-of-lasso-based-feature-selection-2010.10045"/></url>
<url><loc>https://scifaro.com/en/abs/line-graph-neural-networks-for-link-prediction-2010.10046</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/line-graph-neural-networks-for-link-prediction-2010.10046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/line-graph-neural-networks-for-link-prediction-2010.10046"/></url>
<url><loc>https://scifaro.com/en/abs/deep-low-shot-learning-for-biological-image-classification-and-visualization-from-limited-training-samples-2010.10050</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-low-shot-learning-for-biological-image-classification-and-visualization-from-limited-training-samples-2010.10050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-low-shot-learning-for-biological-image-classification-and-visualization-from-limited-training-samples-2010.10050"/></url>
<url><loc>https://scifaro.com/en/abs/teacher-student-consistency-for-multi-source-domain-adaptation-2010.10054</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/teacher-student-consistency-for-multi-source-domain-adaptation-2010.10054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/teacher-student-consistency-for-multi-source-domain-adaptation-2010.10054"/></url>
<url><loc>https://scifaro.com/en/abs/very-fast-streaming-submodular-function-maximization-2010.10059</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/very-fast-streaming-submodular-function-maximization-2010.10059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/very-fast-streaming-submodular-function-maximization-2010.10059"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-optimisation-for-online-learning-in-auctions-2010.10070</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-optimisation-for-online-learning-in-auctions-2010.10070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-optimisation-for-online-learning-in-auctions-2010.10070"/></url>
<url><loc>https://scifaro.com/en/abs/rdis-random-drop-imputation-with-self-training-for-incomplete-time-series-data-2010.10075</loc><lastmod>2024-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rdis-random-drop-imputation-with-self-training-for-incomplete-time-series-data-2010.10075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rdis-random-drop-imputation-with-self-training-for-incomplete-time-series-data-2010.10075"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-distillation-in-wide-neural-networks-risk-bound-data-efficiency-and-imperfect-teacher-2010.10090</loc><lastmod>2024-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-distillation-in-wide-neural-networks-risk-bound-data-efficiency-and-imperfect-teacher-2010.10090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-distillation-in-wide-neural-networks-risk-bound-data-efficiency-and-imperfect-teacher-2010.10090"/></url>
<url><loc>https://scifaro.com/en/abs/towards-an-automatic-analysis-of-cho-k1-suspension-growth-in-microfluidic-single-cell-cultivation-2010.10124</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-an-automatic-analysis-of-cho-k1-suspension-growth-in-microfluidic-single-cell-cultivation-2010.10124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-an-automatic-analysis-of-cho-k1-suspension-growth-in-microfluidic-single-cell-cultivation-2010.10124"/></url>
<url><loc>https://scifaro.com/en/abs/language-inference-with-multi-head-automata-through-reinforcement-learning-2010.10141</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/language-inference-with-multi-head-automata-through-reinforcement-learning-2010.10141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/language-inference-with-multi-head-automata-through-reinforcement-learning-2010.10141"/></url>
<url><loc>https://scifaro.com/en/abs/coherent-hierarchical-multi-label-classification-networks-2010.10151</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coherent-hierarchical-multi-label-classification-networks-2010.10151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coherent-hierarchical-multi-label-classification-networks-2010.10151"/></url>
<url><loc>https://scifaro.com/en/abs/feature-inference-attack-on-model-predictions-in-vertical-federated-learning-2010.10152</loc><lastmod>2022-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-inference-attack-on-model-predictions-in-vertical-federated-learning-2010.10152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-inference-attack-on-model-predictions-in-vertical-federated-learning-2010.10152"/></url>
<url><loc>https://scifaro.com/en/abs/federated-bayesian-optimization-via-thompson-sampling-2010.10154</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-bayesian-optimization-via-thompson-sampling-2010.10154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-bayesian-optimization-via-thompson-sampling-2010.10154"/></url>
<url><loc>https://scifaro.com/en/abs/soccermap-a-deep-learning-architecture-for-visually-interpretable-analysis-in-soccer-2010.10202</loc><lastmod>2021-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soccermap-a-deep-learning-architecture-for-visually-interpretable-analysis-in-soccer-2010.10202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soccermap-a-deep-learning-architecture-for-visually-interpretable-analysis-in-soccer-2010.10202"/></url>
<url><loc>https://scifaro.com/en/abs/replacing-human-audio-with-synthetic-audio-for-on-device-unspoken-punctuation-prediction-2010.10203</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/replacing-human-audio-with-synthetic-audio-for-on-device-unspoken-punctuation-prediction-2010.10203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/replacing-human-audio-with-synthetic-audio-for-on-device-unspoken-punctuation-prediction-2010.10203"/></url>
<url><loc>https://scifaro.com/en/abs/model-specific-data-subsampling-with-influence-functions-2010.10218</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-specific-data-subsampling-with-influence-functions-2010.10218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-specific-data-subsampling-with-influence-functions-2010.10218"/></url>
<url><loc>https://scifaro.com/en/abs/graph-fairing-convolutional-networks-for-anomaly-detection-2010.10274</loc><lastmod>2023-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-fairing-convolutional-networks-for-anomaly-detection-2010.10274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-fairing-convolutional-networks-for-anomaly-detection-2010.10274"/></url>
<url><loc>https://scifaro.com/en/abs/anisotropic-graph-convolutional-network-for-semi-supervised-learning-2010.10284</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anisotropic-graph-convolutional-network-for-semi-supervised-learning-2010.10284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anisotropic-graph-convolutional-network-for-semi-supervised-learning-2010.10284"/></url>
<url><loc>https://scifaro.com/en/abs/extracting-seasonal-gradual-patterns-from-temporal-sequence-data-using-periodic-patterns-mining-2010.10289</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extracting-seasonal-gradual-patterns-from-temporal-sequence-data-using-periodic-patterns-mining-2010.10289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extracting-seasonal-gradual-patterns-from-temporal-sequence-data-using-periodic-patterns-mining-2010.10289"/></url>
<url><loc>https://scifaro.com/en/abs/a-federated-learning-approach-to-anomaly-detection-in-smart-buildings-2010.10293</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-federated-learning-approach-to-anomaly-detection-in-smart-buildings-2010.10293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-federated-learning-approach-to-anomaly-detection-in-smart-buildings-2010.10293"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-deep-learning-for-automatic-diagnosis-of-12-lead-electrocardiogram-2010.10328</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-deep-learning-for-automatic-diagnosis-of-12-lead-electrocardiogram-2010.10328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-deep-learning-for-automatic-diagnosis-of-12-lead-electrocardiogram-2010.10328"/></url>
<url><loc>https://scifaro.com/en/abs/edge-bias-in-federated-learning-and-its-solution-by-buffered-knowledge-distillation-2010.10338</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edge-bias-in-federated-learning-and-its-solution-by-buffered-knowledge-distillation-2010.10338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edge-bias-in-federated-learning-and-its-solution-by-buffered-knowledge-distillation-2010.10338"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-learn-variational-semantic-memory-2010.10341</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-learn-variational-semantic-memory-2010.10341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-learn-variational-semantic-memory-2010.10341"/></url>
<url><loc>https://scifaro.com/en/abs/provenance-graph-kernel-2010.10343</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provenance-graph-kernel-2010.10343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provenance-graph-kernel-2010.10343"/></url>
<url><loc>https://scifaro.com/en/abs/negotiating-team-formation-using-deep-reinforcement-learning-2010.10380</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/negotiating-team-formation-using-deep-reinforcement-learning-2010.10380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/negotiating-team-formation-using-deep-reinforcement-learning-2010.10380"/></url>
<url><loc>https://scifaro.com/en/abs/variational-dynamic-mixtures-2010.10403</loc><lastmod>2020-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-dynamic-mixtures-2010.10403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-dynamic-mixtures-2010.10403"/></url>
<url><loc>https://scifaro.com/en/abs/a-lane-merge-coordination-model-for-a-v2x-scenario-2010.10426</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-lane-merge-coordination-model-for-a-v2x-scenario-2010.10426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-lane-merge-coordination-model-for-a-v2x-scenario-2010.10426"/></url>
<url><loc>https://scifaro.com/en/abs/bert2dnn-bert-distillation-with-massive-unlabeled-data-for-online-e-commerce-search-2010.10442</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bert2dnn-bert-distillation-with-massive-unlabeled-data-for-online-e-commerce-search-2010.10442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bert2dnn-bert-distillation-with-massive-unlabeled-data-for-online-e-commerce-search-2010.10442"/></url>
<url><loc>https://scifaro.com/en/abs/regret-optimal-control-in-dynamic-environments-2010.10473</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-optimal-control-in-dynamic-environments-2010.10473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-optimal-control-in-dynamic-environments-2010.10473"/></url>
<url><loc>https://scifaro.com/en/abs/towards-maximizing-the-representation-gap-between-in-domain-out-of-distribution-examples-2010.10474</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-maximizing-the-representation-gap-between-in-domain-out-of-distribution-examples-2010.10474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-maximizing-the-representation-gap-between-in-domain-out-of-distribution-examples-2010.10474"/></url>
<url><loc>https://scifaro.com/en/abs/dual-averaging-is-surprisingly-effective-for-deep-learning-optimization-2010.10502</loc><lastmod>2020-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-averaging-is-surprisingly-effective-for-deep-learning-optimization-2010.10502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-averaging-is-surprisingly-effective-for-deep-learning-optimization-2010.10502"/></url>
<url><loc>https://scifaro.com/en/abs/tight-second-order-certificates-for-randomized-smoothing-2010.10549</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-second-order-certificates-for-randomized-smoothing-2010.10549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-second-order-certificates-for-randomized-smoothing-2010.10549"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-optimization-of-covid-19-mitigation-policies-2010.10560</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-optimization-of-covid-19-mitigation-policies-2010.10560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-optimization-of-covid-19-mitigation-policies-2010.10560"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-recurrent-networks-a-novel-approach-to-stationary-input-processing-with-recurrent-neural-networks-in-deep-learning-2010.10564</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-recurrent-networks-a-novel-approach-to-stationary-input-processing-with-recurrent-neural-networks-in-deep-learning-2010.10564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-recurrent-networks-a-novel-approach-to-stationary-input-processing-with-recurrent-neural-networks-in-deep-learning-2010.10564"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-in-lane-merge-coordination-for-connected-vehicles-2010.10567</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-in-lane-merge-coordination-for-connected-vehicles-2010.10567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-in-lane-merge-coordination-for-connected-vehicles-2010.10567"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-explanations-and-algorithmic-recourses-for-machine-learning-a-review-2010.10596</loc><lastmod>2022-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-explanations-and-algorithmic-recourses-for-machine-learning-a-review-2010.10596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-explanations-and-algorithmic-recourses-for-machine-learning-a-review-2010.10596"/></url>
<url><loc>https://scifaro.com/en/abs/runtime-safety-assurance-using-reinforcement-learning-2010.10618</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/runtime-safety-assurance-using-reinforcement-learning-2010.10618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/runtime-safety-assurance-using-reinforcement-learning-2010.10618"/></url>
<url><loc>https://scifaro.com/en/abs/optimising-the-performance-of-convolutional-neural-networks-across-computing-systems-using-transfer-learning-2010.10621</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimising-the-performance-of-convolutional-neural-networks-across-computing-systems-using-transfer-learning-2010.10621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimising-the-performance-of-convolutional-neural-networks-across-computing-systems-using-transfer-learning-2010.10621"/></url>
<url><loc>https://scifaro.com/en/abs/promoting-high-diversity-ensemble-learning-with-ensemblebench-2010.10623</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/promoting-high-diversity-ensemble-learning-with-ensemblebench-2010.10623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/promoting-high-diversity-ensemble-learning-with-ensemblebench-2010.10623"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-identification-of-2d-partial-differential-equations-using-extracted-physical-features-2010.10626</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-identification-of-2d-partial-differential-equations-using-extracted-physical-features-2010.10626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-identification-of-2d-partial-differential-equations-using-extracted-physical-features-2010.10626"/></url>
<url><loc>https://scifaro.com/en/abs/robust-constrained-reinforcement-learning-for-continuous-control-with-model-misspecification-2010.10644</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-constrained-reinforcement-learning-for-continuous-control-with-model-misspecification-2010.10644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-constrained-reinforcement-learning-for-continuous-control-with-model-misspecification-2010.10644"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-the-dynamics-of-the-first-order-adversaries-2010.10650</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-the-dynamics-of-the-first-order-adversaries-2010.10650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-the-dynamics-of-the-first-order-adversaries-2010.10650"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-tensor-networks-stochastic-processes-and-weighted-automata-2010.10653</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-tensor-networks-stochastic-processes-and-weighted-automata-2010.10653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-tensor-networks-stochastic-processes-and-weighted-automata-2010.10653"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-amortized-policy-optimization-2010.10670</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-amortized-policy-optimization-2010.10670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-amortized-policy-optimization-2010.10670"/></url>
<url><loc>https://scifaro.com/en/abs/is-batch-norm-unique-an-empirical-investigation-and-prescription-to-emulate-the-best-properties-of-common-normalizers-without-batch-dependence-2010.10687</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-batch-norm-unique-an-empirical-investigation-and-prescription-to-emulate-the-best-properties-of-common-normalizers-without-batch-dependence-2010.10687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-batch-norm-unique-an-empirical-investigation-and-prescription-to-emulate-the-best-properties-of-common-normalizers-without-batch-dependence-2010.10687"/></url>
<url><loc>https://scifaro.com/en/abs/batch-sequential-adaptive-designs-for-global-optimization-2010.10698</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-sequential-adaptive-designs-for-global-optimization-2010.10698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-sequential-adaptive-designs-for-global-optimization-2010.10698"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-global-self-attention-mechanism-for-graph-convolutional-networks-2010.10711</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-global-self-attention-mechanism-for-graph-convolutional-networks-2010.10711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-global-self-attention-mechanism-for-graph-convolutional-networks-2010.10711"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-gradient-for-white-box-adversarial-attacks-2010.10712</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-gradient-for-white-box-adversarial-attacks-2010.10712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-gradient-for-white-box-adversarial-attacks-2010.10712"/></url>
<url><loc>https://scifaro.com/en/abs/directed-graph-representation-through-vector-cross-product-2010.10737</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directed-graph-representation-through-vector-cross-product-2010.10737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directed-graph-representation-through-vector-cross-product-2010.10737"/></url>
<url><loc>https://scifaro.com/en/abs/safety-verification-of-model-based-reinforcement-learning-controllers-2010.10740</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safety-verification-of-model-based-reinforcement-learning-controllers-2010.10740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safety-verification-of-model-based-reinforcement-learning-controllers-2010.10740"/></url>
<url><loc>https://scifaro.com/en/abs/model-selection-in-reconciling-hierarchical-time-series-2010.10742</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-selection-in-reconciling-hierarchical-time-series-2010.10742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-selection-in-reconciling-hierarchical-time-series-2010.10742"/></url>
<url><loc>https://scifaro.com/en/abs/ascii-assisted-classification-with-ignorance-interchange-2010.10747</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ascii-assisted-classification-with-ignorance-interchange-2010.10747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ascii-assisted-classification-with-ignorance-interchange-2010.10747"/></url>
<url><loc>https://scifaro.com/en/abs/automl-to-date-and-beyond-challenges-and-opportunities-2010.10777</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automl-to-date-and-beyond-challenges-and-opportunities-2010.10777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automl-to-date-and-beyond-challenges-and-opportunities-2010.10777"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-embed-categorical-features-without-embedding-tables-for-recommendation-2010.10784</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-embed-categorical-features-without-embedding-tables-for-recommendation-2010.10784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-embed-categorical-features-without-embedding-tables-for-recommendation-2010.10784"/></url>
<url><loc>https://scifaro.com/en/abs/improving-generalization-in-reinforcement-learning-with-mixture-regularization-2010.10814</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-generalization-in-reinforcement-learning-with-mixture-regularization-2010.10814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-generalization-in-reinforcement-learning-with-mixture-regularization-2010.10814"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-numeric-convolutional-neural-networks-2010.10876</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-numeric-convolutional-neural-networks-2010.10876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-numeric-convolutional-neural-networks-2010.10876"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-mutual-information-based-generalization-bound-for-meta-learning-2010.10886</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-mutual-information-based-generalization-bound-for-meta-learning-2010.10886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-mutual-information-based-generalization-bound-for-meta-learning-2010.10886"/></url>
<url><loc>https://scifaro.com/en/abs/on-information-asymmetry-in-competitive-multi-agent-reinforcement-learning-convergence-and-optimality-2010.10901</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-information-asymmetry-in-competitive-multi-agent-reinforcement-learning-convergence-and-optimality-2010.10901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-information-asymmetry-in-competitive-multi-agent-reinforcement-learning-convergence-and-optimality-2010.10901"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-via-nested-riemannian-manifolds-2010.10904</loc><lastmod>2020-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-via-nested-riemannian-manifolds-2010.10904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-via-nested-riemannian-manifolds-2010.10904"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-similarity-preserving-unsupervised-learning-using-modular-sparse-distributed-codes-and-novelty-contingent-noise-2010.10926</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-similarity-preserving-unsupervised-learning-using-modular-sparse-distributed-codes-and-novelty-contingent-noise-2010.10926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-similarity-preserving-unsupervised-learning-using-modular-sparse-distributed-codes-and-novelty-contingent-noise-2010.10926"/></url>
<url><loc>https://scifaro.com/en/abs/an-eager-splitting-strategy-for-online-decision-trees-2010.10935</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-eager-splitting-strategy-for-online-decision-trees-2010.10935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-eager-splitting-strategy-for-online-decision-trees-2010.10935"/></url>
<url><loc>https://scifaro.com/en/abs/a-wigner-eckart-theorem-for-group-equivariant-convolution-kernels-2010.10952</loc><lastmod>2021-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-wigner-eckart-theorem-for-group-equivariant-convolution-kernels-2010.10952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-wigner-eckart-theorem-for-group-equivariant-convolution-kernels-2010.10952"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-interpretable-output-constraints-in-bayesian-neural-networks-2010.10969</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-interpretable-output-constraints-in-bayesian-neural-networks-2010.10969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-interpretable-output-constraints-in-bayesian-neural-networks-2010.10969"/></url>
<url><loc>https://scifaro.com/en/abs/amnesiac-machine-learning-2010.10981</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amnesiac-machine-learning-2010.10981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amnesiac-machine-learning-2010.10981"/></url>
<url><loc>https://scifaro.com/en/abs/certified-distributional-robustness-on-smoothed-classifiers-2010.10987</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certified-distributional-robustness-on-smoothed-classifiers-2010.10987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certified-distributional-robustness-on-smoothed-classifiers-2010.10987"/></url>
<url><loc>https://scifaro.com/en/abs/gfl-a-decentralized-federated-learning-framework-based-on-blockchain-2010.10996</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gfl-a-decentralized-federated-learning-framework-based-on-blockchain-2010.10996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gfl-a-decentralized-federated-learning-framework-based-on-blockchain-2010.10996"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-off-policy-evaluation-from-multiple-logging-policies-2010.11002</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-off-policy-evaluation-from-multiple-logging-policies-2010.11002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-off-policy-evaluation-from-multiple-logging-policies-2010.11002"/></url>
<url><loc>https://scifaro.com/en/abs/complex-data-labeling-with-deep-learning-methods-lessons-from-fisheries-acoustics-2010.11010</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complex-data-labeling-with-deep-learning-methods-lessons-from-fisheries-acoustics-2010.11010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complex-data-labeling-with-deep-learning-methods-lessons-from-fisheries-acoustics-2010.11010"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-are-congestion-games-from-loss-landscape-to-wardrop-equilibrium-and-beyond-2010.11024</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-are-congestion-games-from-loss-landscape-to-wardrop-equilibrium-and-beyond-2010.11024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-are-congestion-games-from-loss-landscape-to-wardrop-equilibrium-and-beyond-2010.11024"/></url>
<url><loc>https://scifaro.com/en/abs/learning-curves-for-analysis-of-deep-networks-2010.11029</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-curves-for-analysis-of-deep-networks-2010.11029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-curves-for-analysis-of-deep-networks-2010.11029"/></url>
<url><loc>https://scifaro.com/en/abs/on-explaining-decision-trees-2010.11034</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-explaining-decision-trees-2010.11034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-explaining-decision-trees-2010.11034"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-gradient-method-with-resilience-and-momentum-2010.11041</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-gradient-method-with-resilience-and-momentum-2010.11041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-gradient-method-with-resilience-and-momentum-2010.11041"/></url>
<url><loc>https://scifaro.com/en/abs/deep-q-network-based-adaptive-alert-threshold-selection-policy-for-payment-fraud-systems-in-retail-banking-2010.11062</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-q-network-based-adaptive-alert-threshold-selection-policy-for-payment-fraud-systems-in-retail-banking-2010.11062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-q-network-based-adaptive-alert-threshold-selection-policy-for-payment-fraud-systems-in-retail-banking-2010.11062"/></url>
<url><loc>https://scifaro.com/en/abs/on-differentially-private-stochastic-convex-optimization-with-heavy-tailed-data-2010.11082</loc><lastmod>2020-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-differentially-private-stochastic-convex-optimization-with-heavy-tailed-data-2010.11082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-differentially-private-stochastic-convex-optimization-with-heavy-tailed-data-2010.11082"/></url>
<url><loc>https://scifaro.com/en/abs/logistic-q-learning-2010.11151</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logistic-q-learning-2010.11151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logistic-q-learning-2010.11151"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-deep-learning-using-momentum-accelerated-consensus-2010.11166</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-deep-learning-using-momentum-accelerated-consensus-2010.11166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-deep-learning-using-momentum-accelerated-consensus-2010.11166"/></url>
<url><loc>https://scifaro.com/en/abs/how-data-augmentation-affects-optimization-for-linear-regression-2010.11171</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-data-augmentation-affects-optimization-for-linear-regression-2010.11171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-data-augmentation-affects-optimization-for-linear-regression-2010.11171"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-contrastive-learning-for-efficient-user-satisfaction-prediction-in-conversational-agents-2010.11230</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-contrastive-learning-for-efficient-user-satisfaction-prediction-in-conversational-agents-2010.11230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-contrastive-learning-for-efficient-user-satisfaction-prediction-in-conversational-agents-2010.11230"/></url>
<url><loc>https://scifaro.com/en/abs/sobolev-training-of-thermodynamic-informed-neural-networks-for-smoothed-elasto-plasticity-models-with-level-set-hardening-2010.11265</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sobolev-training-of-thermodynamic-informed-neural-networks-for-smoothed-elasto-plasticity-models-with-level-set-hardening-2010.11265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sobolev-training-of-thermodynamic-informed-neural-networks-for-smoothed-elasto-plasticity-models-with-level-set-hardening-2010.11265"/></url>
<url><loc>https://scifaro.com/en/abs/convex-polytope-trees-2010.11266</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-polytope-trees-2010.11266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-polytope-trees-2010.11266"/></url>
<url><loc>https://scifaro.com/en/abs/micronets-neural-network-architectures-for-deploying-tinyml-applications-on-commodity-microcontrollers-2010.11267</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/micronets-neural-network-architectures-for-deploying-tinyml-applications-on-commodity-microcontrollers-2010.11267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/micronets-neural-network-architectures-for-deploying-tinyml-applications-on-commodity-microcontrollers-2010.11267"/></url>
<url><loc>https://scifaro.com/en/abs/learning-second-order-coupled-differential-equations-that-are-subject-to-non-conservative-forces-2010.11270</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-second-order-coupled-differential-equations-that-are-subject-to-non-conservative-forces-2010.11270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-second-order-coupled-differential-equations-that-are-subject-to-non-conservative-forces-2010.11270"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-aware-2-bit-quantization-with-real-time-performance-for-neural-network-2010.11271</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-aware-2-bit-quantization-with-real-time-performance-for-neural-network-2010.11271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-aware-2-bit-quantization-with-real-time-performance-for-neural-network-2010.11271"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-chemical-properties-using-self-attention-multi-task-learning-based-on-smiles-representation-2010.11272</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-chemical-properties-using-self-attention-multi-task-learning-based-on-smiles-representation-2010.11272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-chemical-properties-using-self-attention-multi-task-learning-based-on-smiles-representation-2010.11272"/></url>
<url><loc>https://scifaro.com/en/abs/the-need-for-standardized-explainability-2010.11273</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-need-for-standardized-explainability-2010.11273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-need-for-standardized-explainability-2010.11273"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-method-of-fuzzy-time-series-forecasting-based-on-interval-index-number-and-membership-value-using-support-vector-machine-2010.11274</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-method-of-fuzzy-time-series-forecasting-based-on-interval-index-number-and-membership-value-using-support-vector-machine-2010.11274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-method-of-fuzzy-time-series-forecasting-based-on-interval-index-number-and-membership-value-using-support-vector-machine-2010.11274"/></url>
<url><loc>https://scifaro.com/en/abs/deep-surrogate-q-learning-for-autonomous-driving-2010.11278</loc><lastmod>2022-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-surrogate-q-learning-for-autonomous-driving-2010.11278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-surrogate-q-learning-for-autonomous-driving-2010.11278"/></url>
<url><loc>https://scifaro.com/en/abs/how-do-fair-decisions-fare-in-long-term-qualification-2010.11300</loc><lastmod>2020-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-do-fair-decisions-fare-in-long-term-qualification-2010.11300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-do-fair-decisions-fare-in-long-term-qualification-2010.11300"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-precision-embedding-using-a-cache-2010.11305</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-precision-embedding-using-a-cache-2010.11305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-precision-embedding-using-a-cache-2010.11305"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-aware-deep-ensembles-for-reliable-and-explainable-predictions-of-clinical-time-series-2010.11310</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-aware-deep-ensembles-for-reliable-and-explainable-predictions-of-clinical-time-series-2010.11310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-aware-deep-ensembles-for-reliable-and-explainable-predictions-of-clinical-time-series-2010.11310"/></url>
<url><loc>https://scifaro.com/en/abs/density-of-states-graph-kernels-2010.11341</loc><lastmod>2021-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-of-states-graph-kernels-2010.11341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-of-states-graph-kernels-2010.11341"/></url>
<url><loc>https://scifaro.com/en/abs/trajectory-prediction-using-equivariant-continuous-convolution-2010.11344</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trajectory-prediction-using-equivariant-continuous-convolution-2010.11344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trajectory-prediction-using-equivariant-continuous-convolution-2010.11344"/></url>
<url><loc>https://scifaro.com/en/abs/phew-constructing-sparse-networks-that-learn-fast-and-generalize-well-without-training-data-2010.11354</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phew-constructing-sparse-networks-that-learn-fast-and-generalize-well-without-training-data-2010.11354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phew-constructing-sparse-networks-that-learn-fast-and-generalize-well-without-training-data-2010.11354"/></url>
<url><loc>https://scifaro.com/en/abs/n-ode-transformer-a-depth-adaptive-variant-of-the-transformer-using-neural-ordinary-differential-equations-2010.11358</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/n-ode-transformer-a-depth-adaptive-variant-of-the-transformer-using-neural-ordinary-differential-equations-2010.11358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/n-ode-transformer-a-depth-adaptive-variant-of-the-transformer-using-neural-ordinary-differential-equations-2010.11358"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-with-reinforce-2010.11364</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-with-reinforce-2010.11364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-with-reinforce-2010.11364"/></url>
<url><loc>https://scifaro.com/en/abs/on-a-guided-nonnegative-matrix-factorization-2010.11365</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-a-guided-nonnegative-matrix-factorization-2010.11365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-a-guided-nonnegative-matrix-factorization-2010.11365"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-on-deep-algorithmic-trading-policies-2010.11388</loc><lastmod>2020-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-on-deep-algorithmic-trading-policies-2010.11388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-on-deep-algorithmic-trading-policies-2010.11388"/></url>
<url><loc>https://scifaro.com/en/abs/unite-uncertainty-based-health-risk-prediction-leveraging-multi-sourced-data-2010.11389</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unite-uncertainty-based-health-risk-prediction-leveraging-multi-sourced-data-2010.11389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unite-uncertainty-based-health-risk-prediction-leveraging-multi-sourced-data-2010.11389"/></url>
<url><loc>https://scifaro.com/en/abs/dpd-infogan-differentially-private-distributed-infogan-2010.11398</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dpd-infogan-differentially-private-distributed-infogan-2010.11398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dpd-infogan-differentially-private-distributed-infogan-2010.11398"/></url>
<url><loc>https://scifaro.com/en/abs/learning-transferrable-parameters-for-long-tailed-sequential-user-behavior-modeling-2010.11401</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-transferrable-parameters-for-long-tailed-sequential-user-behavior-modeling-2010.11401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-transferrable-parameters-for-long-tailed-sequential-user-behavior-modeling-2010.11401"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-human-decision-making-in-psychological-tasks-with-recurrent-neural-networks-2010.11413</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-human-decision-making-in-psychological-tasks-with-recurrent-neural-networks-2010.11413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-human-decision-making-in-psychological-tasks-with-recurrent-neural-networks-2010.11413"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-mean-discrepancy-test-is-aware-of-adversarial-attacks-2010.11415</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-mean-discrepancy-test-is-aware-of-adversarial-attacks-2010.11415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-mean-discrepancy-test-is-aware-of-adversarial-attacks-2010.11415"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-pooling-in-graph-neural-networks-2010.11418</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-pooling-in-graph-neural-networks-2010.11418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-pooling-in-graph-neural-networks-2010.11418"/></url>
<url><loc>https://scifaro.com/en/abs/pool-based-sequential-active-learning-with-multi-kernels-2010.11421</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pool-based-sequential-active-learning-with-multi-kernels-2010.11421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pool-based-sequential-active-learning-with-multi-kernels-2010.11421"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-federated-linear-bandits-2010.11425</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-federated-linear-bandits-2010.11425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-federated-linear-bandits-2010.11425"/></url>
<url><loc>https://scifaro.com/en/abs/self-training-and-pre-training-are-complementary-for-speech-recognition-2010.11430</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-training-and-pre-training-are-complementary-for-speech-recognition-2010.11430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-training-and-pre-training-are-complementary-for-speech-recognition-2010.11430"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-robustness-consistency-trade-offs-for-learning-augmented-online-algorithms-2010.11443</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-robustness-consistency-trade-offs-for-learning-augmented-online-algorithms-2010.11443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-robustness-consistency-trade-offs-for-learning-augmented-online-algorithms-2010.11443"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-circuits-for-variational-inference-in-discrete-graphical-models-2010.11446</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-circuits-for-variational-inference-in-discrete-graphical-models-2010.11446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-circuits-for-variational-inference-in-discrete-graphical-models-2010.11446"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-approximation-smoothness-tradeoffs-for-soft-max-functions-2010.11450</loc><lastmod>2026-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-approximation-smoothness-tradeoffs-for-soft-max-functions-2010.11450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-approximation-smoothness-tradeoffs-for-soft-max-functions-2010.11450"/></url>
<url><loc>https://scifaro.com/en/abs/mixcon-adjusting-the-separability-of-data-representations-for-harder-data-recovery-2010.11463</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixcon-adjusting-the-separability-of-data-representations-for-harder-data-recovery-2010.11463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixcon-adjusting-the-separability-of-data-representations-for-harder-data-recovery-2010.11463"/></url>
<url><loc>https://scifaro.com/en/abs/defense-guided-transferable-adversarial-attacks-2010.11535</loc><lastmod>2020-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defense-guided-transferable-adversarial-attacks-2010.11535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defense-guided-transferable-adversarial-attacks-2010.11535"/></url>
<url><loc>https://scifaro.com/en/abs/stability-of-algebraic-neural-networks-to-small-perturbations-2010.11544</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-of-algebraic-neural-networks-to-small-perturbations-2010.11544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-of-algebraic-neural-networks-to-small-perturbations-2010.11544"/></url>
<url><loc>https://scifaro.com/en/abs/online-structured-meta-learning-2010.11545</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-structured-meta-learning-2010.11545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-structured-meta-learning-2010.11545"/></url>
<url><loc>https://scifaro.com/en/abs/fast-rate-loss-bounds-via-conditional-information-measures-with-applications-to-neural-networks-2010.11552</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-rate-loss-bounds-via-conditional-information-measures-with-applications-to-neural-networks-2010.11552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-rate-loss-bounds-via-conditional-information-measures-with-applications-to-neural-networks-2010.11552"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graph-laplacian-with-mcp-2010.11559</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graph-laplacian-with-mcp-2010.11559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graph-laplacian-with-mcp-2010.11559"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-is-singular-and-that-s-good-2010.11560</loc><lastmod>2023-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-is-singular-and-that-s-good-2010.11560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-is-singular-and-that-s-good-2010.11560"/></url>
<url><loc>https://scifaro.com/en/abs/quantile-bandits-for-best-arms-identification-2010.11568</loc><lastmod>2023-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantile-bandits-for-best-arms-identification-2010.11568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantile-bandits-for-best-arms-identification-2010.11568"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-adversarial-attack-for-tree-ensembles-2010.11598</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-adversarial-attack-for-tree-ensembles-2010.11598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-adversarial-attack-for-tree-ensembles-2010.11598"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-power-of-deep-but-naive-partial-label-learning-2010.11600</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-power-of-deep-but-naive-partial-label-learning-2010.11600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-power-of-deep-but-naive-partial-label-learning-2010.11600"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-federated-learning-through-lan-wan-orchestration-2010.11612</loc><lastmod>2020-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-federated-learning-through-lan-wan-orchestration-2010.11612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-federated-learning-through-lan-wan-orchestration-2010.11612"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-distributed-algorithm-for-generalized-eigenvalue-problem-2010.11625</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-distributed-algorithm-for-generalized-eigenvalue-problem-2010.11625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-distributed-algorithm-for-generalized-eigenvalue-problem-2010.11625"/></url>
<url><loc>https://scifaro.com/en/abs/learning-augmented-energy-minimization-via-speed-scaling-2010.11629</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-augmented-energy-minimization-via-speed-scaling-2010.11629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-augmented-energy-minimization-via-speed-scaling-2010.11629"/></url>
<url><loc>https://scifaro.com/en/abs/the-primal-dual-method-for-learning-augmented-algorithms-2010.11632</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-primal-dual-method-for-learning-augmented-algorithms-2010.11632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-primal-dual-method-for-learning-augmented-algorithms-2010.11632"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-in-low-rank-orthogonal-subspaces-2010.11635</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-in-low-rank-orthogonal-subspaces-2010.11635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-in-low-rank-orthogonal-subspaces-2010.11635"/></url>
<url><loc>https://scifaro.com/en/abs/theory-based-residual-neural-networks-a-synergy-of-discrete-choice-models-and-deep-neural-networks-2010.11644</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-based-residual-neural-networks-a-synergy-of-discrete-choice-models-and-deep-neural-networks-2010.11644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-based-residual-neural-networks-a-synergy-of-discrete-choice-models-and-deep-neural-networks-2010.11644"/></url>
<url><loc>https://scifaro.com/en/abs/enabling-certification-of-verification-agnostic-networks-via-memory-efficient-semidefinite-programming-2010.11645</loc><lastmod>2020-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enabling-certification-of-verification-agnostic-networks-via-memory-efficient-semidefinite-programming-2010.11645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enabling-certification-of-verification-agnostic-networks-via-memory-efficient-semidefinite-programming-2010.11645"/></url>
<url><loc>https://scifaro.com/en/abs/a-quaternion-valued-variational-autoencoder-2010.11647</loc><lastmod>2022-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-quaternion-valued-variational-autoencoder-2010.11647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-quaternion-valued-variational-autoencoder-2010.11647"/></url>
<url><loc>https://scifaro.com/en/abs/coindice-off-policy-confidence-interval-estimation-2010.11652</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coindice-off-policy-confidence-interval-estimation-2010.11652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coindice-off-policy-confidence-interval-estimation-2010.11652"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-network-for-large-scale-network-localization-2010.11653</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-network-for-large-scale-network-localization-2010.11653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-network-for-large-scale-network-localization-2010.11653"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-with-stacked-hierarchical-attention-for-text-based-games-2010.11655</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-stacked-hierarchical-attention-for-text-based-games-2010.11655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-stacked-hierarchical-attention-for-text-based-games-2010.11655"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-rewards-deterioration-in-episodic-reinforcement-learning-2010.11660</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-rewards-deterioration-in-episodic-reinforcement-learning-2010.11660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-rewards-deterioration-in-episodic-reinforcement-learning-2010.11660"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-action-sequences-discovering-correlated-samples-2010.11684</loc><lastmod>2020-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-action-sequences-discovering-correlated-samples-2010.11684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-action-sequences-discovering-correlated-samples-2010.11684"/></url>
<url><loc>https://scifaro.com/en/abs/a-very-compact-embedded-cnn-processor-design-based-on-logarithmic-computing-2010.11686</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-very-compact-embedded-cnn-processor-design-based-on-logarithmic-computing-2010.11686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-very-compact-embedded-cnn-processor-design-based-on-logarithmic-computing-2010.11686"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-graph-contrastive-representation-learning-for-drug-drug-interaction-prediction-2010.11711</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-graph-contrastive-representation-learning-for-drug-drug-interaction-prediction-2010.11711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-graph-contrastive-representation-learning-for-drug-drug-interaction-prediction-2010.11711"/></url>
<url><loc>https://scifaro.com/en/abs/optimising-stochastic-routing-for-taxi-fleets-with-model-enhanced-reinforcement-learning-2010.11738</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimising-stochastic-routing-for-taxi-fleets-with-model-enhanced-reinforcement-learning-2010.11738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimising-stochastic-routing-for-taxi-fleets-with-model-enhanced-reinforcement-learning-2010.11738"/></url>
<url><loc>https://scifaro.com/en/abs/robust-low-tubal-rank-tensor-completion-based-on-tensor-factorization-and-maximum-correntopy-criterion-2010.11740</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-low-tubal-rank-tensor-completion-based-on-tensor-factorization-and-maximum-correntopy-criterion-2010.11740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-low-tubal-rank-tensor-completion-based-on-tensor-factorization-and-maximum-correntopy-criterion-2010.11740"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-machine-learning-for-trajectory-prediction-in-cooperative-driving-2010.11743</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-machine-learning-for-trajectory-prediction-in-cooperative-driving-2010.11743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-machine-learning-for-trajectory-prediction-in-cooperative-driving-2010.11743"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-evaluation-in-asr-are-our-models-robust-enough-2010.11745</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-evaluation-in-asr-are-our-models-robust-enough-2010.11745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-evaluation-in-asr-are-our-models-robust-enough-2010.11745"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-prediction-of-patient-response-time-course-from-early-data-via-neural-pharmacokinetic-pharmacodynamic-modeling-2010.11769</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-prediction-of-patient-response-time-course-from-early-data-via-neural-pharmacokinetic-pharmacodynamic-modeling-2010.11769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-prediction-of-patient-response-time-course-from-early-data-via-neural-pharmacokinetic-pharmacodynamic-modeling-2010.11769"/></url>
<url><loc>https://scifaro.com/en/abs/on-resource-efficient-bayesian-network-classifiers-and-deep-neural-networks-2010.11773</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-resource-efficient-bayesian-network-classifiers-and-deep-neural-networks-2010.11773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-resource-efficient-bayesian-network-classifiers-and-deep-neural-networks-2010.11773"/></url>
<url><loc>https://scifaro.com/en/abs/label-aware-neural-tangent-kernel-toward-better-generalization-and-local-elasticity-2010.11775</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-aware-neural-tangent-kernel-toward-better-generalization-and-local-elasticity-2010.11775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-aware-neural-tangent-kernel-toward-better-generalization-and-local-elasticity-2010.11775"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-on-binary-image-recognition-systems-2010.11782</loc><lastmod>2020-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-on-binary-image-recognition-systems-2010.11782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-on-binary-image-recognition-systems-2010.11782"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-rainfall-in-rajasthan-india-using-deep-and-wide-neural-network-2010.11787</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-rainfall-in-rajasthan-india-using-deep-and-wide-neural-network-2010.11787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-rainfall-in-rajasthan-india-using-deep-and-wide-neural-network-2010.11787"/></url>
<url><loc>https://scifaro.com/en/abs/metapath-and-entity-aware-graph-neural-network-for-recommendation-2010.11793</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metapath-and-entity-aware-graph-neural-network-for-recommendation-2010.11793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metapath-and-entity-aware-graph-neural-network-for-recommendation-2010.11793"/></url>
<url><loc>https://scifaro.com/en/abs/should-graph-convolution-trust-neighbors-a-simple-causal-inference-method-2010.11797</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/should-graph-convolution-trust-neighbors-a-simple-causal-inference-method-2010.11797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/should-graph-convolution-trust-neighbors-a-simple-causal-inference-method-2010.11797"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-re-calibration-for-imbalanced-datasets-2010.11820</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-re-calibration-for-imbalanced-datasets-2010.11820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-re-calibration-for-imbalanced-datasets-2010.11820"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-hierarchical-agglomerative-clustering-2010.11821</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-hierarchical-agglomerative-clustering-2010.11821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-hierarchical-agglomerative-clustering-2010.11821"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-robust-optimal-transport-with-application-to-multi-label-classification-2010.11852</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-robust-optimal-transport-with-application-to-multi-label-classification-2010.11852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-robust-optimal-transport-with-application-to-multi-label-classification-2010.11852"/></url>
<url><loc>https://scifaro.com/en/abs/global-optimality-of-softmax-policy-gradient-with-single-hidden-layer-neural-networks-in-the-mean-field-regime-2010.11858</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-optimality-of-softmax-policy-gradient-with-single-hidden-layer-neural-networks-in-the-mean-field-regime-2010.11858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-optimality-of-softmax-policy-gradient-with-single-hidden-layer-neural-networks-in-the-mean-field-regime-2010.11858"/></url>
<url><loc>https://scifaro.com/en/abs/error-bounds-of-imitating-policies-and-environments-2010.11876</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-bounds-of-imitating-policies-and-environments-2010.11876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-bounds-of-imitating-policies-and-environments-2010.11876"/></url>
<url><loc>https://scifaro.com/en/abs/learning-invariances-in-neural-networks-2010.11882</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-invariances-in-neural-networks-2010.11882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-invariances-in-neural-networks-2010.11882"/></url>
<url><loc>https://scifaro.com/en/abs/what-are-the-statistical-limits-of-offline-rl-with-linear-function-approximation-2010.11895</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-are-the-statistical-limits-of-offline-rl-with-linear-function-approximation-2010.11895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-are-the-statistical-limits-of-offline-rl-with-linear-function-approximation-2010.11895"/></url>
<url><loc>https://scifaro.com/en/abs/adapterdrop-on-the-efficiency-of-adapters-in-transformers-2010.11918</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapterdrop-on-the-efficiency-of-adapters-in-transformers-2010.11918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapterdrop-on-the-efficiency-of-adapters-in-transformers-2010.11918"/></url>
<url><loc>https://scifaro.com/en/abs/in-search-of-robust-measures-of-generalization-2010.11924</loc><lastmod>2021-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-search-of-robust-measures-of-generalization-2010.11924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-search-of-robust-measures-of-generalization-2010.11924"/></url>
<url><loc>https://scifaro.com/en/abs/limitations-of-autoregressive-models-and-their-alternatives-2010.11939</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limitations-of-autoregressive-models-and-their-alternatives-2010.11939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limitations-of-autoregressive-models-and-their-alternatives-2010.11939"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-reinforcement-learning-with-learned-skill-priors-2010.11944</loc><lastmod>2020-10-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-reinforcement-learning-with-learned-skill-priors-2010.11944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-reinforcement-learning-with-learned-skill-priors-2010.11944"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-temperature-and-rainfall-in-bangladesh-using-long-short-term-memory-recurrent-neural-networks-2010.11946</loc><lastmod>2020-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-temperature-and-rainfall-in-bangladesh-using-long-short-term-memory-recurrent-neural-networks-2010.11946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-temperature-and-rainfall-in-bangladesh-using-long-short-term-memory-recurrent-neural-networks-2010.11946"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-combinatorial-actions-an-application-to-vehicle-routing-2010.12001</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-combinatorial-actions-an-application-to-vehicle-routing-2010.12001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-combinatorial-actions-an-application-to-vehicle-routing-2010.12001"/></url>
<url><loc>https://scifaro.com/en/abs/prank-motion-prediction-based-on-ranking-2010.12007</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prank-motion-prediction-based-on-ranking-2010.12007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prank-motion-prediction-based-on-ranking-2010.12007"/></url>
<url><loc>https://scifaro.com/en/abs/regret-bounds-without-lipschitz-continuity-online-learning-with-relative-lipschitz-losses-2010.12033</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-bounds-without-lipschitz-continuity-online-learning-with-relative-lipschitz-losses-2010.12033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-bounds-without-lipschitz-continuity-online-learning-with-relative-lipschitz-losses-2010.12033"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-adversarially-robust-learning-to-non-robust-pac-learning-2010.12039</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-adversarially-robust-learning-to-non-robust-pac-learning-2010.12039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-adversarially-robust-learning-to-non-robust-pac-learning-2010.12039"/></url>
<url><loc>https://scifaro.com/en/abs/using-deep-image-priors-to-generate-counterfactual-explanations-2010.12046</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-deep-image-priors-to-generate-counterfactual-explanations-2010.12046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-deep-image-priors-to-generate-counterfactual-explanations-2010.12046"/></url>
<url><loc>https://scifaro.com/en/abs/factor-graph-grammars-2010.12048</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factor-graph-grammars-2010.12048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factor-graph-grammars-2010.12048"/></url>
<url><loc>https://scifaro.com/en/abs/a-discrete-variational-recurrent-topic-model-without-the-reparametrization-trick-2010.12055</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-discrete-variational-recurrent-topic-model-without-the-reparametrization-trick-2010.12055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-discrete-variational-recurrent-topic-model-without-the-reparametrization-trick-2010.12055"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-three-dimensional-potential-problems-in-non-homogeneous-media-with-physics-informed-deep-collocation-method-using-material-transfer-learning-and-sensitivity-analysis-2010.12060</loc><lastmod>2022-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-three-dimensional-potential-problems-in-non-homogeneous-media-with-physics-informed-deep-collocation-method-using-material-transfer-learning-and-sensitivity-analysis-2010.12060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-three-dimensional-potential-problems-in-non-homogeneous-media-with-physics-informed-deep-collocation-method-using-material-transfer-learning-and-sensitivity-analysis-2010.12060"/></url>
<url><loc>https://scifaro.com/en/abs/simple-neighborhood-representative-pre-processing-boosts-outlier-detectors-2010.12061</loc><lastmod>2022-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-neighborhood-representative-pre-processing-boosts-outlier-detectors-2010.12061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-neighborhood-representative-pre-processing-boosts-outlier-detectors-2010.12061"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-neural-network-predictions-for-functional-data-using-principal-component-analysis-and-feature-importance-2010.12063</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-neural-network-predictions-for-functional-data-using-principal-component-analysis-and-feature-importance-2010.12063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-neural-network-predictions-for-functional-data-using-principal-component-analysis-and-feature-importance-2010.12063"/></url>
<url><loc>https://scifaro.com/en/abs/learning-patterns-in-imaginary-vowels-for-an-intelligent-brain-computer-interface-bci-design-2010.12066</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-patterns-in-imaginary-vowels-for-an-intelligent-brain-computer-interface-bci-design-2010.12066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-patterns-in-imaginary-vowels-for-an-intelligent-brain-computer-interface-bci-design-2010.12066"/></url>
<url><loc>https://scifaro.com/en/abs/getting-passive-aggressive-about-false-positives-patching-deployed-malware-detectors-2010.12080</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/getting-passive-aggressive-about-false-positives-patching-deployed-malware-detectors-2010.12080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/getting-passive-aggressive-about-false-positives-patching-deployed-malware-detectors-2010.12080"/></url>
<url><loc>https://scifaro.com/en/abs/a-multilinear-sampling-algorithm-to-estimate-shapley-values-2010.12082</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multilinear-sampling-algorithm-to-estimate-shapley-values-2010.12082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multilinear-sampling-algorithm-to-estimate-shapley-values-2010.12082"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-of-supervised-sparse-coding-2010.12088</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-of-supervised-sparse-coding-2010.12088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-of-supervised-sparse-coding-2010.12088"/></url>
<url><loc>https://scifaro.com/en/abs/the-pursuit-of-algorithmic-fairness-on-correcting-algorithmic-unfairness-in-a-child-welfare-reunification-success-classifier-2010.12089</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-pursuit-of-algorithmic-fairness-on-correcting-algorithmic-unfairness-in-a-child-welfare-reunification-success-classifier-2010.12089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-pursuit-of-algorithmic-fairness-on-correcting-algorithmic-unfairness-in-a-child-welfare-reunification-success-classifier-2010.12089"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-user-side-fairness-in-contextual-bandits-2010.12102</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-user-side-fairness-in-contextual-bandits-2010.12102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-user-side-fairness-in-contextual-bandits-2010.12102"/></url>
<url><loc>https://scifaro.com/en/abs/sharper-convergence-bounds-of-monte-carlo-rademacher-averages-through-self-bounding-functions-2010.12103</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharper-convergence-bounds-of-monte-carlo-rademacher-averages-through-self-bounding-functions-2010.12103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharper-convergence-bounds-of-monte-carlo-rademacher-averages-through-self-bounding-functions-2010.12103"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-reordering-for-cnn-compression-2010.12110</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-reordering-for-cnn-compression-2010.12110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-reordering-for-cnn-compression-2010.12110"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-number-of-linear-functions-composing-deep-neural-network-towards-a-refined-definition-of-neural-networks-complexity-2010.12125</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-number-of-linear-functions-composing-deep-neural-network-towards-a-refined-definition-of-neural-networks-complexity-2010.12125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-number-of-linear-functions-composing-deep-neural-network-towards-a-refined-definition-of-neural-networks-complexity-2010.12125"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-metropolis-hastings-with-lightweight-inference-compilation-2010.12128</loc><lastmod>2022-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-metropolis-hastings-with-lightweight-inference-compilation-2010.12128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-metropolis-hastings-with-lightweight-inference-compilation-2010.12128"/></url>
<url><loc>https://scifaro.com/en/abs/graph-geometry-interaction-learning-2010.12135</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-geometry-interaction-learning-2010.12135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-geometry-interaction-learning-2010.12135"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-imagination-and-reality-for-model-based-deep-reinforcement-learning-2010.12142</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-imagination-and-reality-for-model-based-deep-reinforcement-learning-2010.12142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-imagination-and-reality-for-model-based-deep-reinforcement-learning-2010.12142"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-learning-for-temporal-knowledge-graphs-2010.12144</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-learning-for-temporal-knowledge-graphs-2010.12144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-learning-for-temporal-knowledge-graphs-2010.12144"/></url>
<url><loc>https://scifaro.com/en/abs/generative-neurosymbolic-machines-2010.12152</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-neurosymbolic-machines-2010.12152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-neurosymbolic-machines-2010.12152"/></url>
<url><loc>https://scifaro.com/en/abs/bite-gcn-a-new-gcn-architecture-via-bidirectionalconvolution-of-topology-and-features-on-text-rich-networks-2010.12157</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bite-gcn-a-new-gcn-architecture-via-bidirectionalconvolution-of-topology-and-features-on-text-rich-networks-2010.12157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bite-gcn-a-new-gcn-architecture-via-bidirectionalconvolution-of-topology-and-features-on-text-rich-networks-2010.12157"/></url>
<url><loc>https://scifaro.com/en/abs/improved-worst-case-regret-bounds-for-randomized-least-squares-value-iteration-2010.12163</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-worst-case-regret-bounds-for-randomized-least-squares-value-iteration-2010.12163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-worst-case-regret-bounds-for-randomized-least-squares-value-iteration-2010.12163"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-theory-based-methods-for-rkhs-bandits-2010.12167</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-theory-based-methods-for-rkhs-bandits-2010.12167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-theory-based-methods-for-rkhs-bandits-2010.12167"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-crowdsourcing-through-robust-rank-one-matrix-completion-2010.12181</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-crowdsourcing-through-robust-rank-one-matrix-completion-2010.12181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-crowdsourcing-through-robust-rank-one-matrix-completion-2010.12181"/></url>
<url><loc>https://scifaro.com/en/abs/on-evaluating-neural-network-backdoor-defenses-2010.12186</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-evaluating-neural-network-backdoor-defenses-2010.12186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-evaluating-neural-network-backdoor-defenses-2010.12186"/></url>
<url><loc>https://scifaro.com/en/abs/generating-long-financial-report-using-conditional-variational-autoencoders-with-knowledge-distillation-2010.12188</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-long-financial-report-using-conditional-variational-autoencoders-with-knowledge-distillation-2010.12188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-long-financial-report-using-conditional-variational-autoencoders-with-knowledge-distillation-2010.12188"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-optimise-general-tsp-instances-2010.12214</loc><lastmod>2020-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-optimise-general-tsp-instances-2010.12214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-optimise-general-tsp-instances-2010.12214"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-missing-data-with-the-latent-block-model-2010.12222</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-missing-data-with-the-latent-block-model-2010.12222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-missing-data-with-the-latent-block-model-2010.12222"/></url>
<url><loc>https://scifaro.com/en/abs/throughput-optimal-topology-design-for-cross-silo-federated-learning-2010.12229</loc><lastmod>2020-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/throughput-optimal-topology-design-for-cross-silo-federated-learning-2010.12229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/throughput-optimal-topology-design-for-cross-silo-federated-learning-2010.12229"/></url>
<url><loc>https://scifaro.com/en/abs/coping-with-label-shift-via-distributionally-robust-optimisation-2010.12230</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coping-with-label-shift-via-distributionally-robust-optimisation-2010.12230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coping-with-label-shift-via-distributionally-robust-optimisation-2010.12230"/></url>
<url><loc>https://scifaro.com/en/abs/an-asymptotically-optimal-primal-dual-incremental-algorithm-for-contextual-linear-bandits-2010.12247</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-asymptotically-optimal-primal-dual-incremental-algorithm-for-contextual-linear-bandits-2010.12247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-asymptotically-optimal-primal-dual-incremental-algorithm-for-contextual-linear-bandits-2010.12247"/></url>
<url><loc>https://scifaro.com/en/abs/population-gradients-improve-performance-across-data-sets-and-architectures-in-object-classification-2010.12260</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/population-gradients-improve-performance-across-data-sets-and-architectures-in-object-classification-2010.12260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/population-gradients-improve-performance-across-data-sets-and-architectures-in-object-classification-2010.12260"/></url>
<url><loc>https://scifaro.com/en/abs/a-combinatorial-perspective-on-transfer-learning-2010.12268</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-combinatorial-perspective-on-transfer-learning-2010.12268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-combinatorial-perspective-on-transfer-learning-2010.12268"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-estimation-equation-under-f-separable-bregman-distortion-measures-2010.12286</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-estimation-equation-under-f-separable-bregman-distortion-measures-2010.12286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-estimation-equation-under-f-separable-bregman-distortion-measures-2010.12286"/></url>
<url><loc>https://scifaro.com/en/abs/graph-homomorphic-perturbations-for-private-decentralized-learning-2010.12288</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-homomorphic-perturbations-for-private-decentralized-learning-2010.12288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-homomorphic-perturbations-for-private-decentralized-learning-2010.12288"/></url>
<url><loc>https://scifaro.com/en/abs/topic-space-trajectories-a-case-study-on-machine-learning-literature-2010.12294</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topic-space-trajectories-a-case-study-on-machine-learning-literature-2010.12294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topic-space-trajectories-a-case-study-on-machine-learning-literature-2010.12294"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multi-layer-graphs-and-a-common-representation-for-clustering-2010.12301</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multi-layer-graphs-and-a-common-representation-for-clustering-2010.12301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multi-layer-graphs-and-a-common-representation-for-clustering-2010.12301"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-analysis-of-heterogeneous-porous-material-with-modified-neural-architecture-search-nas-based-physics-informed-neural-networks-using-transfer-learning-2010.12344</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-analysis-of-heterogeneous-porous-material-with-modified-neural-architecture-search-nas-based-physics-informed-neural-networks-using-transfer-learning-2010.12344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-analysis-of-heterogeneous-porous-material-with-modified-neural-architecture-search-nas-based-physics-informed-neural-networks-using-transfer-learning-2010.12344"/></url>
<url><loc>https://scifaro.com/en/abs/online-algorithm-for-unsupervised-sequential-selection-with-contextual-information-2010.12353</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-algorithm-for-unsupervised-sequential-selection-with-contextual-information-2010.12353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-algorithm-for-unsupervised-sequential-selection-with-contextual-information-2010.12353"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-dispatch-for-job-shop-scheduling-via-deep-reinforcement-learning-2010.12367</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-dispatch-for-job-shop-scheduling-via-deep-reinforcement-learning-2010.12367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-dispatch-for-job-shop-scheduling-via-deep-reinforcement-learning-2010.12367"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-equivalence-of-decoupled-graph-convolution-network-and-label-propagation-2010.12408</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-equivalence-of-decoupled-graph-convolution-network-and-label-propagation-2010.12408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-equivalence-of-decoupled-graph-convolution-network-and-label-propagation-2010.12408"/></url>
<url><loc>https://scifaro.com/en/abs/graphspeech-syntax-aware-graph-attention-network-for-neural-speech-synthesis-2010.12423</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphspeech-syntax-aware-graph-attention-network-for-neural-speech-synthesis-2010.12423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphspeech-syntax-aware-graph-attention-network-for-neural-speech-synthesis-2010.12423"/></url>
<url><loc>https://scifaro.com/en/abs/transferable-graph-optimizers-for-ml-compilers-2010.12438</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferable-graph-optimizers-for-ml-compilers-2010.12438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferable-graph-optimizers-for-ml-compilers-2010.12438"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-gradient-quantization-for-data-parallel-sgd-2010.12460</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-gradient-quantization-for-data-parallel-sgd-2010.12460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-gradient-quantization-for-data-parallel-sgd-2010.12460"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-for-high-dimensional-data-collection-under-local-differential-privacy-2010.12464</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-for-high-dimensional-data-collection-under-local-differential-privacy-2010.12464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-for-high-dimensional-data-collection-under-local-differential-privacy-2010.12464"/></url>
<url><loc>https://scifaro.com/en/abs/a-practical-guide-of-off-policy-evaluation-for-bandit-problems-2010.12470</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-practical-guide-of-off-policy-evaluation-for-bandit-problems-2010.12470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-practical-guide-of-off-policy-evaluation-for-bandit-problems-2010.12470"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-deep-learning-methods-for-irregularly-sampled-medical-time-series-data-2010.12493</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-deep-learning-methods-for-irregularly-sampled-medical-time-series-data-2010.12493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-deep-learning-methods-for-irregularly-sampled-medical-time-series-data-2010.12493"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-decoding-of-brain-activation-maps-2010.12500</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-decoding-of-brain-activation-maps-2010.12500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-decoding-of-brain-activation-maps-2010.12500"/></url>
<url><loc>https://scifaro.com/en/abs/graph-and-graphon-neural-network-stability-2010.12529</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-and-graphon-neural-network-stability-2010.12529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-and-graphon-neural-network-stability-2010.12529"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-infectiousness-for-proactive-contact-tracing-2010.12536</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-infectiousness-for-proactive-contact-tracing-2010.12536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-infectiousness-for-proactive-contact-tracing-2010.12536"/></url>
<url><loc>https://scifaro.com/en/abs/quantizing-multiple-sources-to-a-common-cluster-center-an-asymptotic-analysis-2010.12546</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantizing-multiple-sources-to-a-common-cluster-center-an-asymptotic-analysis-2010.12546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantizing-multiple-sources-to-a-common-cluster-center-an-asymptotic-analysis-2010.12546"/></url>
<url><loc>https://scifaro.com/en/abs/train-simultaneously-generalize-better-stability-of-gradient-based-minimax-learners-2010.12561</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/train-simultaneously-generalize-better-stability-of-gradient-based-minimax-learners-2010.12561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/train-simultaneously-generalize-better-stability-of-gradient-based-minimax-learners-2010.12561"/></url>
<url><loc>https://scifaro.com/en/abs/online-semi-supervised-learning-with-bandit-feedback-2010.12574</loc><lastmod>2020-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-semi-supervised-learning-with-bandit-feedback-2010.12574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-semi-supervised-learning-with-bandit-feedback-2010.12574"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-graph-self-distillation-2010.12609</loc><lastmod>2023-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-graph-self-distillation-2010.12609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-graph-self-distillation-2010.12609"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-execute-programs-with-instruction-pointer-attention-graph-neural-networks-2010.12621</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-execute-programs-with-instruction-pointer-attention-graph-neural-networks-2010.12621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-execute-programs-with-instruction-pointer-attention-graph-neural-networks-2010.12621"/></url>
<url><loc>https://scifaro.com/en/abs/s2cgan-semi-supervised-training-of-conditional-gans-with-fewer-labels-2010.12622</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/s2cgan-semi-supervised-training-of-conditional-gans-with-fewer-labels-2010.12622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/s2cgan-semi-supervised-training-of-conditional-gans-with-fewer-labels-2010.12622"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-on-graphs-plus-temporally-smooth-sparse-decomposition-for-anomaly-detection-in-spatiotemporal-data-2010.12633</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-on-graphs-plus-temporally-smooth-sparse-decomposition-for-anomaly-detection-in-spatiotemporal-data-2010.12633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-on-graphs-plus-temporally-smooth-sparse-decomposition-for-anomaly-detection-in-spatiotemporal-data-2010.12633"/></url>
<url><loc>https://scifaro.com/en/abs/not-half-bad-exploring-half-precision-in-graph-convolutional-neural-networks-2010.12635</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/not-half-bad-exploring-half-precision-in-graph-convolutional-neural-networks-2010.12635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/not-half-bad-exploring-half-precision-in-graph-convolutional-neural-networks-2010.12635"/></url>
<url><loc>https://scifaro.com/en/abs/nonseparable-symplectic-neural-networks-2010.12636</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonseparable-symplectic-neural-networks-2010.12636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonseparable-symplectic-neural-networks-2010.12636"/></url>
<url><loc>https://scifaro.com/en/abs/avoiding-occupancy-detection-from-smart-meter-using-adversarial-machine-learning-2010.12640</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avoiding-occupancy-detection-from-smart-meter-using-adversarial-machine-learning-2010.12640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avoiding-occupancy-detection-from-smart-meter-using-adversarial-machine-learning-2010.12640"/></url>
<url><loc>https://scifaro.com/en/abs/instance-wise-minimax-optimal-algorithms-for-logistic-bandits-2010.12642</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-wise-minimax-optimal-algorithms-for-logistic-bandits-2010.12642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-wise-minimax-optimal-algorithms-for-logistic-bandits-2010.12642"/></url>
<url><loc>https://scifaro.com/en/abs/towards-safe-policy-improvement-for-non-stationary-mdps-2010.12645</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-safe-policy-improvement-for-non-stationary-mdps-2010.12645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-safe-policy-improvement-for-non-stationary-mdps-2010.12645"/></url>
<url><loc>https://scifaro.com/en/abs/an-investigation-of-how-label-smoothing-affects-generalization-2010.12648</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-investigation-of-how-label-smoothing-affects-generalization-2010.12648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-investigation-of-how-label-smoothing-affects-generalization-2010.12648"/></url>
<url><loc>https://scifaro.com/en/abs/loss-analysis-via-attention-scale-for-physiologic-time-series-2010.12690</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-analysis-via-attention-scale-for-physiologic-time-series-2010.12690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-analysis-via-attention-scale-for-physiologic-time-series-2010.12690"/></url>
<url><loc>https://scifaro.com/en/abs/stabilizing-transformer-based-action-sequence-generation-for-q-learning-2010.12698</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilizing-transformer-based-action-sequence-generation-for-q-learning-2010.12698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilizing-transformer-based-action-sequence-generation-for-q-learning-2010.12698"/></url>
<url><loc>https://scifaro.com/en/abs/on-convergence-and-generalization-of-dropout-training-2010.12711</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-convergence-and-generalization-of-dropout-training-2010.12711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-convergence-and-generalization-of-dropout-training-2010.12711"/></url>
<url><loc>https://scifaro.com/en/abs/learning-guidance-rewards-with-trajectory-space-smoothing-2010.12718</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-guidance-rewards-with-trajectory-space-smoothing-2010.12718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-guidance-rewards-with-trajectory-space-smoothing-2010.12718"/></url>
<url><loc>https://scifaro.com/en/abs/pep-parameter-ensembling-by-perturbation-2010.12721</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pep-parameter-ensembling-by-perturbation-2010.12721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pep-parameter-ensembling-by-perturbation-2010.12721"/></url>
<url><loc>https://scifaro.com/en/abs/model-extraction-attacks-on-graph-neural-networks-taxonomy-and-realization-2010.12751</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-extraction-attacks-on-graph-neural-networks-taxonomy-and-realization-2010.12751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-extraction-attacks-on-graph-neural-networks-taxonomy-and-realization-2010.12751"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoder-watchdog-outlier-detection-for-classifiers-2010.12754</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoder-watchdog-outlier-detection-for-classifiers-2010.12754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoder-watchdog-outlier-detection-for-classifiers-2010.12754"/></url>
<url><loc>https://scifaro.com/en/abs/dataset-dynamics-via-gradient-flows-in-probability-space-2010.12760</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dataset-dynamics-via-gradient-flows-in-probability-space-2010.12760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dataset-dynamics-via-gradient-flows-in-probability-space-2010.12760"/></url>
<url><loc>https://scifaro.com/en/abs/federated-bandit-a-gossiping-approach-2010.12763</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-bandit-a-gossiping-approach-2010.12763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-bandit-a-gossiping-approach-2010.12763"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-aware-semi-supervised-learning-on-graph-data-2010.12783</loc><lastmod>2020-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-aware-semi-supervised-learning-on-graph-data-2010.12783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-aware-semi-supervised-learning-on-graph-data-2010.12783"/></url>
<url><loc>https://scifaro.com/en/abs/shiftaddnet-a-hardware-inspired-deep-network-2010.12785</loc><lastmod>2025-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shiftaddnet-a-hardware-inspired-deep-network-2010.12785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shiftaddnet-a-hardware-inspired-deep-network-2010.12785"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-machine-learning-with-incentive-aware-model-rewards-2010.12797</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-machine-learning-with-incentive-aware-model-rewards-2010.12797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-machine-learning-with-incentive-aware-model-rewards-2010.12797"/></url>
<url><loc>https://scifaro.com/en/abs/private-outsourced-bayesian-optimization-2010.12799</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-outsourced-bayesian-optimization-2010.12799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-outsourced-bayesian-optimization-2010.12799"/></url>
<url><loc>https://scifaro.com/en/abs/autoregressive-score-matching-2010.12810</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoregressive-score-matching-2010.12810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoregressive-score-matching-2010.12810"/></url>
<url><loc>https://scifaro.com/en/abs/graph-information-bottleneck-2010.12811</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-information-bottleneck-2010.12811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-information-bottleneck-2010.12811"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-online-submodular-maximization-2010.12816</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-online-submodular-maximization-2010.12816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-online-submodular-maximization-2010.12816"/></url>
<url><loc>https://scifaro.com/en/abs/an-adiabatic-theorem-for-policy-tracking-with-td-learning-2010.12848</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adiabatic-theorem-for-policy-tracking-with-td-learning-2010.12848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adiabatic-theorem-for-policy-tracking-with-td-learning-2010.12848"/></url>
<url><loc>https://scifaro.com/en/abs/stable-resnet-2010.12859</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-resnet-2010.12859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-resnet-2010.12859"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-algorithms-for-stochastic-multi-armed-bandits-with-heavy-tailed-rewards-2010.12866</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-algorithms-for-stochastic-multi-armed-bandits-with-heavy-tailed-rewards-2010.12866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-algorithms-for-stochastic-multi-armed-bandits-with-heavy-tailed-rewards-2010.12866"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-in-non-stationary-linear-markov-decision-processes-2010.12870</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-in-non-stationary-linear-markov-decision-processes-2010.12870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-in-non-stationary-linear-markov-decision-processes-2010.12870"/></url>
<url><loc>https://scifaro.com/en/abs/pathfinder-discovery-networks-for-neural-message-passing-2010.12878</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pathfinder-discovery-networks-for-neural-message-passing-2010.12878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pathfinder-discovery-networks-for-neural-message-passing-2010.12878"/></url>
<url><loc>https://scifaro.com/en/abs/variational-bayesian-unlearning-2010.12883</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-bayesian-unlearning-2010.12883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-bayesian-unlearning-2010.12883"/></url>
<url><loc>https://scifaro.com/en/abs/atro-adversarial-training-with-a-rejection-option-2010.12905</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/atro-adversarial-training-with-a-rejection-option-2010.12905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/atro-adversarial-training-with-a-rejection-option-2010.12905"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-bias-of-gradient-descent-for-weight-normalized-smooth-homogeneous-neural-nets-2010.12909</loc><lastmod>2023-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-bias-of-gradient-descent-for-weight-normalized-smooth-homogeneous-neural-nets-2010.12909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-bias-of-gradient-descent-for-weight-normalized-smooth-homogeneous-neural-nets-2010.12909"/></url>
<url><loc>https://scifaro.com/en/abs/planning-with-exploration-addressing-dynamics-bottleneck-in-model-based-reinforcement-learning-2010.12914</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/planning-with-exploration-addressing-dynamics-bottleneck-in-model-based-reinforcement-learning-2010.12914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/planning-with-exploration-addressing-dynamics-bottleneck-in-model-based-reinforcement-learning-2010.12914"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-and-optimization-trade-off-in-meta-learning-2010.12916</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-and-optimization-trade-off-in-meta-learning-2010.12916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-and-optimization-trade-off-in-meta-learning-2010.12916"/></url>
<url><loc>https://scifaro.com/en/abs/lagnetvip-a-lagrangian-neural-network-for-video-prediction-2010.12932</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lagnetvip-a-lagrangian-neural-network-for-video-prediction-2010.12932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lagnetvip-a-lagrangian-neural-network-for-video-prediction-2010.12932"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-based-electricity-load-forecasting-of-g-20-members-2010.12934</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-based-electricity-load-forecasting-of-g-20-members-2010.12934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-based-electricity-load-forecasting-of-g-20-members-2010.12934"/></url>
<url><loc>https://scifaro.com/en/abs/deepatrophy-teaching-a-neural-network-to-differentiate-progressive-changes-from-noise-on-longitudinal-mri-in-alzheimer-s-disease-2010.12948</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepatrophy-teaching-a-neural-network-to-differentiate-progressive-changes-from-noise-on-longitudinal-mri-in-alzheimer-s-disease-2010.12948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepatrophy-teaching-a-neural-network-to-differentiate-progressive-changes-from-noise-on-longitudinal-mri-in-alzheimer-s-disease-2010.12948"/></url>
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<url><loc>https://scifaro.com/en/abs/improving-the-exploration-of-deep-reinforcement-learning-in-continuous-domains-using-planning-for-policy-search-2010.12974</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-exploration-of-deep-reinforcement-learning-in-continuous-domains-using-planning-for-policy-search-2010.12974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-exploration-of-deep-reinforcement-learning-in-continuous-domains-using-planning-for-policy-search-2010.12974"/></url>
<url><loc>https://scifaro.com/en/abs/adam-with-bandit-sampling-for-deep-learning-2010.12986</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adam-with-bandit-sampling-for-deep-learning-2010.12986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adam-with-bandit-sampling-for-deep-learning-2010.12986"/></url>
<url><loc>https://scifaro.com/en/abs/are-adversarial-examples-created-equal-a-learnable-weighted-minimax-risk-for-robustness-under-non-uniform-attacks-2010.12989</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-adversarial-examples-created-equal-a-learnable-weighted-minimax-risk-for-robustness-under-non-uniform-attacks-2010.12989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-adversarial-examples-created-equal-a-learnable-weighted-minimax-risk-for-robustness-under-non-uniform-attacks-2010.12989"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-supervised-learning-via-cross-learning-2010.12993</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-supervised-learning-via-cross-learning-2010.12993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-supervised-learning-via-cross-learning-2010.12993"/></url>
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<url><loc>https://scifaro.com/en/abs/demystifying-why-local-aggregation-helps-convergence-analysis-of-hierarchical-sgd-2010.12998</loc><lastmod>2024-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-why-local-aggregation-helps-convergence-analysis-of-hierarchical-sgd-2010.12998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-why-local-aggregation-helps-convergence-analysis-of-hierarchical-sgd-2010.12998"/></url>
<url><loc>https://scifaro.com/en/abs/inter-series-attention-model-for-covid-19-forecasting-2010.13006</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inter-series-attention-model-for-covid-19-forecasting-2010.13006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inter-series-attention-model-for-covid-19-forecasting-2010.13006"/></url>
<url><loc>https://scifaro.com/en/abs/tractable-contextual-bandits-beyond-realizability-2010.13013</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tractable-contextual-bandits-beyond-realizability-2010.13013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tractable-contextual-bandits-beyond-realizability-2010.13013"/></url>
<url><loc>https://scifaro.com/en/abs/towards-interaction-detection-using-topological-analysis-on-neural-networks-2010.13015</loc><lastmod>2020-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-interaction-detection-using-topological-analysis-on-neural-networks-2010.13015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-interaction-detection-using-topological-analysis-on-neural-networks-2010.13015"/></url>
<url><loc>https://scifaro.com/en/abs/byzantine-resilient-distributed-multi-task-learning-2010.13032</loc><lastmod>2021-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/byzantine-resilient-distributed-multi-task-learning-2010.13032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/byzantine-resilient-distributed-multi-task-learning-2010.13032"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-weighted-sampling-2010.13048</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-weighted-sampling-2010.13048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-weighted-sampling-2010.13048"/></url>
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<url><loc>https://scifaro.com/en/abs/adaptive-federated-learning-and-digital-twin-for-industrial-internet-of-things-2010.13058</loc><lastmod>2020-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-federated-learning-and-digital-twin-for-industrial-internet-of-things-2010.13058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-federated-learning-and-digital-twin-for-industrial-internet-of-things-2010.13058"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-heterogeneous-graph-neural-networks-with-latent-worker-task-correlation-information-for-label-aggregation-in-crowdsourcing-2010.13080</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-heterogeneous-graph-neural-networks-with-latent-worker-task-correlation-information-for-label-aggregation-in-crowdsourcing-2010.13080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-heterogeneous-graph-neural-networks-with-latent-worker-task-correlation-information-for-label-aggregation-in-crowdsourcing-2010.13080"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-make-deep-rl-work-in-practice-2010.13083</loc><lastmod>2020-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-make-deep-rl-work-in-practice-2010.13083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-make-deep-rl-work-in-practice-2010.13083"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-saddle-point-problems-lower-bounds-near-optimal-and-robust-algorithms-2010.13112</loc><lastmod>2025-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-saddle-point-problems-lower-bounds-near-optimal-and-robust-algorithms-2010.13112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-saddle-point-problems-lower-bounds-near-optimal-and-robust-algorithms-2010.13112"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-of-domain-agnostic-semi-supervised-learning-via-energy-based-models-joint-training-and-pre-training-2010.13116</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-of-domain-agnostic-semi-supervised-learning-via-energy-based-models-joint-training-and-pre-training-2010.13116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-of-domain-agnostic-semi-supervised-learning-via-energy-based-models-joint-training-and-pre-training-2010.13116"/></url>
<url><loc>https://scifaro.com/en/abs/hyperparameter-transfer-across-developer-adjustments-2010.13117</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperparameter-transfer-across-developer-adjustments-2010.13117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperparameter-transfer-across-developer-adjustments-2010.13117"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-churn-analysis-2010.13119</loc><lastmod>2020-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-churn-analysis-2010.13119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-churn-analysis-2010.13119"/></url>
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<url><loc>https://scifaro.com/en/abs/a-dynamical-view-on-optimization-algorithms-of-overparameterized-neural-networks-2010.13165</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dynamical-view-on-optimization-algorithms-of-overparameterized-neural-networks-2010.13165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dynamical-view-on-optimization-algorithms-of-overparameterized-neural-networks-2010.13165"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-curriculum-learning-2010.13166</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-curriculum-learning-2010.13166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-curriculum-learning-2010.13166"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-exploration-for-online-control-2010.13178</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-exploration-for-online-control-2010.13178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-exploration-for-online-control-2010.13178"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-based-network-coverage-guidance-system-2010.13190</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-based-network-coverage-guidance-system-2010.13190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-based-network-coverage-guidance-system-2010.13190"/></url>
<url><loc>https://scifaro.com/en/abs/multi-graph-tensor-networks-2010.13209</loc><lastmod>2021-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-graph-tensor-networks-2010.13209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-graph-tensor-networks-2010.13209"/></url>
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<url><loc>https://scifaro.com/en/abs/co-embedding-of-nodes-and-edges-with-graph-neural-networks-2010.13242</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-embedding-of-nodes-and-edges-with-graph-neural-networks-2010.13242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-embedding-of-nodes-and-edges-with-graph-neural-networks-2010.13242"/></url>
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<url><loc>https://scifaro.com/en/abs/a-joint-convolutional-and-spatial-quad-directional-lstm-network-for-phase-unwrapping-2010.13268</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-joint-convolutional-and-spatial-quad-directional-lstm-network-for-phase-unwrapping-2010.13268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-joint-convolutional-and-spatial-quad-directional-lstm-network-for-phase-unwrapping-2010.13268"/></url>
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<url><loc>https://scifaro.com/en/abs/provable-memorization-via-deep-neural-networks-using-sub-linear-parameters-2010.13363</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-memorization-via-deep-neural-networks-using-sub-linear-parameters-2010.13363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-memorization-via-deep-neural-networks-using-sub-linear-parameters-2010.13363"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-matrix-recovery-with-scaled-subgradient-methods-fast-and-robust-convergence-without-the-condition-number-2010.13364</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-matrix-recovery-with-scaled-subgradient-methods-fast-and-robust-convergence-without-the-condition-number-2010.13364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-matrix-recovery-with-scaled-subgradient-methods-fast-and-robust-convergence-without-the-condition-number-2010.13364"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-may-be-at-odds-with-fairness-an-empirical-study-on-class-wise-accuracy-2010.13365</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-may-be-at-odds-with-fairness-an-empirical-study-on-class-wise-accuracy-2010.13365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-may-be-at-odds-with-fairness-an-empirical-study-on-class-wise-accuracy-2010.13365"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-training-of-transformer-based-language-models-with-progressive-layer-dropping-2010.13369</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-training-of-transformer-based-language-models-with-progressive-layer-dropping-2010.13369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-training-of-transformer-based-language-models-with-progressive-layer-dropping-2010.13369"/></url>
<url><loc>https://scifaro.com/en/abs/the-training-accuracy-of-two-layer-neural-networks-its-estimation-and-understanding-using-random-datasets-2010.13380</loc><lastmod>2023-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-training-accuracy-of-two-layer-neural-networks-its-estimation-and-understanding-using-random-datasets-2010.13380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-training-accuracy-of-two-layer-neural-networks-its-estimation-and-understanding-using-random-datasets-2010.13380"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-classification-approach-for-credit-scoring-based-on-gaussian-mixture-models-2010.13388</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-classification-approach-for-credit-scoring-based-on-gaussian-mixture-models-2010.13388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-classification-approach-for-credit-scoring-based-on-gaussian-mixture-models-2010.13388"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-the-computational-cost-of-deep-generative-models-with-binary-neural-networks-2010.13476</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-the-computational-cost-of-deep-generative-models-with-binary-neural-networks-2010.13476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-the-computational-cost-of-deep-generative-models-with-binary-neural-networks-2010.13476"/></url>
<url><loc>https://scifaro.com/en/abs/learning-fast-approximations-of-sparse-nonlinear-regression-2010.13490</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-fast-approximations-of-sparse-nonlinear-regression-2010.13490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-fast-approximations-of-sparse-nonlinear-regression-2010.13490"/></url>
<url><loc>https://scifaro.com/en/abs/one-vs-one-mitigation-of-intersectional-bias-a-general-method-to-extend-fairness-aware-binary-classification-2010.13494</loc><lastmod>2025-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-vs-one-mitigation-of-intersectional-bias-a-general-method-to-extend-fairness-aware-binary-classification-2010.13494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-vs-one-mitigation-of-intersectional-bias-a-general-method-to-extend-fairness-aware-binary-classification-2010.13494"/></url>
<url><loc>https://scifaro.com/en/abs/delta-stn-efficient-bilevel-optimization-for-neural-networks-using-structured-response-jacobians-2010.13514</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delta-stn-efficient-bilevel-optimization-for-neural-networks-using-structured-response-jacobians-2010.13514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delta-stn-efficient-bilevel-optimization-for-neural-networks-using-structured-response-jacobians-2010.13514"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-gradient-expectation-maximization-algorithm-with-statistical-guarantees-2010.13520</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-gradient-expectation-maximization-algorithm-with-statistical-guarantees-2010.13520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-gradient-expectation-maximization-algorithm-with-statistical-guarantees-2010.13520"/></url>
<url><loc>https://scifaro.com/en/abs/robust-disentanglement-of-a-few-factors-at-a-time-2010.13527</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-disentanglement-of-a-few-factors-at-a-time-2010.13527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-disentanglement-of-a-few-factors-at-a-time-2010.13527"/></url>
<url><loc>https://scifaro.com/en/abs/lyapunov-based-reinforcement-learning-state-estimator-2010.13529</loc><lastmod>2021-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lyapunov-based-reinforcement-learning-state-estimator-2010.13529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lyapunov-based-reinforcement-learning-state-estimator-2010.13529"/></url>
<url><loc>https://scifaro.com/en/abs/towards-scale-invariant-graph-related-problem-solving-by-iterative-homogeneous-graph-neural-networks-2010.13547</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-scale-invariant-graph-related-problem-solving-by-iterative-homogeneous-graph-neural-networks-2010.13547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-scale-invariant-graph-related-problem-solving-by-iterative-homogeneous-graph-neural-networks-2010.13547"/></url>
<url><loc>https://scifaro.com/en/abs/restrained-generative-adversarial-network-against-overfitting-in-numeric-data-augmentation-2010.13549</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/restrained-generative-adversarial-network-against-overfitting-in-numeric-data-augmentation-2010.13549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/restrained-generative-adversarial-network-against-overfitting-in-numeric-data-augmentation-2010.13549"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-evaluation-of-bandit-algorithm-from-dependent-samples-under-batch-update-policy-2010.13554</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-evaluation-of-bandit-algorithm-from-dependent-samples-under-batch-update-policy-2010.13554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-evaluation-of-bandit-algorithm-from-dependent-samples-under-batch-update-policy-2010.13554"/></url>
<url><loc>https://scifaro.com/en/abs/towards-accountability-for-machine-learning-datasets-practices-from-software-engineering-and-infrastructure-2010.13561</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-accountability-for-machine-learning-datasets-practices-from-software-engineering-and-infrastructure-2010.13561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-accountability-for-machine-learning-datasets-practices-from-software-engineering-and-infrastructure-2010.13561"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-intrinsic-robustness-to-noise-of-some-leading-classifiers-and-symmetric-loss-function-an-empirical-evaluation-2010.13570</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-intrinsic-robustness-to-noise-of-some-leading-classifiers-and-symmetric-loss-function-an-empirical-evaluation-2010.13570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-intrinsic-robustness-to-noise-of-some-leading-classifiers-and-symmetric-loss-function-an-empirical-evaluation-2010.13570"/></url>
<url><loc>https://scifaro.com/en/abs/a-relu-dense-layer-to-improve-the-performance-of-neural-networks-2010.13572</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-relu-dense-layer-to-improve-the-performance-of-neural-networks-2010.13572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-relu-dense-layer-to-improve-the-performance-of-neural-networks-2010.13572"/></url>
<url><loc>https://scifaro.com/en/abs/simplifying-hamiltonian-and-lagrangian-neural-networks-via-explicit-constraints-2010.13581</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simplifying-hamiltonian-and-lagrangian-neural-networks-via-explicit-constraints-2010.13581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simplifying-hamiltonian-and-lagrangian-neural-networks-via-explicit-constraints-2010.13581"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-importance-sampling-for-federated-learning-2010.13600</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-importance-sampling-for-federated-learning-2010.13600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-importance-sampling-for-federated-learning-2010.13600"/></url>
<url><loc>https://scifaro.com/en/abs/opal-offline-primitive-discovery-for-accelerating-offline-reinforcement-learning-2010.13611</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opal-offline-primitive-discovery-for-accelerating-offline-reinforcement-learning-2010.13611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opal-offline-primitive-discovery-for-accelerating-offline-reinforcement-learning-2010.13611"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-using-batch-wise-attenuation-and-feature-mask-normalization-2010.13631</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-using-batch-wise-attenuation-and-feature-mask-normalization-2010.13631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-using-batch-wise-attenuation-and-feature-mask-normalization-2010.13631"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-optimization-with-laggard-data-pipelines-2010.13639</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-optimization-with-laggard-data-pipelines-2010.13639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-optimization-with-laggard-data-pipelines-2010.13639"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-graph-neural-network-explanation-2010.13663</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-graph-neural-network-explanation-2010.13663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-graph-neural-network-explanation-2010.13663"/></url>
<url><loc>https://scifaro.com/en/abs/an-approach-to-evaluating-learning-algorithms-for-decision-trees-2010.13665</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-approach-to-evaluating-learning-algorithms-for-decision-trees-2010.13665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-approach-to-evaluating-learning-algorithms-for-decision-trees-2010.13665"/></url>
<url><loc>https://scifaro.com/en/abs/graphmdn-leveraging-graph-structure-and-deep-learning-to-solve-inverse-problems-2010.13668</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphmdn-leveraging-graph-structure-and-deep-learning-to-solve-inverse-problems-2010.13668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphmdn-leveraging-graph-structure-and-deep-learning-to-solve-inverse-problems-2010.13668"/></url>
<url><loc>https://scifaro.com/en/abs/data-segmentation-via-t-sne-dbscan-and-random-forest-2010.13682</loc><lastmod>2021-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-segmentation-via-t-sne-dbscan-and-random-forest-2010.13682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-segmentation-via-t-sne-dbscan-and-random-forest-2010.13682"/></url>
<url><loc>https://scifaro.com/en/abs/forethought-and-hindsight-in-credit-assignment-2010.13685</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forethought-and-hindsight-in-credit-assignment-2010.13685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forethought-and-hindsight-in-credit-assignment-2010.13685"/></url>
<url><loc>https://scifaro.com/en/abs/track-assignment-detailed-routing-using-attention-based-policy-model-with-supervision-2010.13702</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/track-assignment-detailed-routing-using-attention-based-policy-model-with-supervision-2010.13702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/track-assignment-detailed-routing-using-attention-based-policy-model-with-supervision-2010.13702"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-client-sampling-for-federated-learning-2010.13723</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-client-sampling-for-federated-learning-2010.13723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-client-sampling-for-federated-learning-2010.13723"/></url>
<url><loc>https://scifaro.com/en/abs/tight-last-iterate-convergence-rates-for-no-regret-learning-in-multi-player-games-2010.13724</loc><lastmod>2020-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-last-iterate-convergence-rates-for-no-regret-learning-in-multi-player-games-2010.13724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-last-iterate-convergence-rates-for-no-regret-learning-in-multi-player-games-2010.13724"/></url>
<url><loc>https://scifaro.com/en/abs/personalised-meta-path-generation-for-heterogeneous-gnns-2010.13735</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalised-meta-path-generation-for-heterogeneous-gnns-2010.13735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalised-meta-path-generation-for-heterogeneous-gnns-2010.13735"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-edge-classification-optimal-offloading-under-token-bucket-constraints-2010.13737</loc><lastmod>2020-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-edge-classification-optimal-offloading-under-token-bucket-constraints-2010.13737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-edge-classification-optimal-offloading-under-token-bucket-constraints-2010.13737"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-stability-of-graph-convolutional-neural-networks-under-edge-rewiring-2010.13747</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-stability-of-graph-convolutional-neural-networks-under-edge-rewiring-2010.13747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-stability-of-graph-convolutional-neural-networks-under-edge-rewiring-2010.13747"/></url>
<url><loc>https://scifaro.com/en/abs/enforcing-interpretability-and-its-statistical-impacts-trade-offs-between-accuracy-and-interpretability-2010.13764</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enforcing-interpretability-and-its-statistical-impacts-trade-offs-between-accuracy-and-interpretability-2010.13764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enforcing-interpretability-and-its-statistical-impacts-trade-offs-between-accuracy-and-interpretability-2010.13764"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-assessment-of-fairness-during-model-evaluation-2010.13782</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-assessment-of-fairness-during-model-evaluation-2010.13782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-assessment-of-fairness-during-model-evaluation-2010.13782"/></url>
<url><loc>https://scifaro.com/en/abs/bear-sketching-bfgs-algorithm-for-ultra-high-dimensional-feature-selection-in-sublinear-memory-2010.13829</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bear-sketching-bfgs-algorithm-for-ultra-high-dimensional-feature-selection-in-sublinear-memory-2010.13829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bear-sketching-bfgs-algorithm-for-ultra-high-dimensional-feature-selection-in-sublinear-memory-2010.13829"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-learning-and-intervention-in-games-2010.13834</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-learning-and-intervention-in-games-2010.13834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-learning-and-intervention-in-games-2010.13834"/></url>
<url><loc>https://scifaro.com/en/abs/visualhints-a-visual-lingual-environment-for-multimodal-reinforcement-learning-2010.13839</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualhints-a-visual-lingual-environment-for-multimodal-reinforcement-learning-2010.13839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualhints-a-visual-lingual-environment-for-multimodal-reinforcement-learning-2010.13839"/></url>
<url><loc>https://scifaro.com/en/abs/lead-min-max-optimization-from-a-physical-perspective-2010.13846</loc><lastmod>2023-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lead-min-max-optimization-from-a-physical-perspective-2010.13846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lead-min-max-optimization-from-a-physical-perspective-2010.13846"/></url>
<url><loc>https://scifaro.com/en/abs/examining-the-causal-structures-of-deep-neural-networks-using-information-theory-2010.13871</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/examining-the-causal-structures-of-deep-neural-networks-using-information-theory-2010.13871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/examining-the-causal-structures-of-deep-neural-networks-using-information-theory-2010.13871"/></url>
<url><loc>https://scifaro.com/en/abs/versatile-verification-of-tree-ensembles-2010.13880</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/versatile-verification-of-tree-ensembles-2010.13880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/versatile-verification-of-tree-ensembles-2010.13880"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-symbolic-domain-knowledge-into-graph-neural-networks-2010.13900</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-symbolic-domain-knowledge-into-graph-neural-networks-2010.13900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-symbolic-domain-knowledge-into-graph-neural-networks-2010.13900"/></url>
<url><loc>https://scifaro.com/en/abs/graph-contrastive-learning-with-augmentations-2010.13902</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-contrastive-learning-with-augmentations-2010.13902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-contrastive-learning-with-augmentations-2010.13902"/></url>
<url><loc>https://scifaro.com/en/abs/t-2-net-a-semi-supervised-deep-model-for-turbulence-forecasting-2010.13903</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/t-2-net-a-semi-supervised-deep-model-for-turbulence-forecasting-2010.13903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/t-2-net-a-semi-supervised-deep-model-for-turbulence-forecasting-2010.13903"/></url>
<url><loc>https://scifaro.com/en/abs/controlled-molecule-generator-for-optimizing-multiple-chemical-properties-2010.13908</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlled-molecule-generator-for-optimizing-multiple-chemical-properties-2010.13908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlled-molecule-generator-for-optimizing-multiple-chemical-properties-2010.13908"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-deep-learning-interpretability-in-time-series-predictions-2010.13924</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-deep-learning-interpretability-in-time-series-predictions-2010.13924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-deep-learning-interpretability-in-time-series-predictions-2010.13924"/></url>
<url><loc>https://scifaro.com/en/abs/harpervalleybank-a-domain-specific-spoken-dialog-corpus-2010.13929</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harpervalleybank-a-domain-specific-spoken-dialog-corpus-2010.13929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harpervalleybank-a-domain-specific-spoken-dialog-corpus-2010.13929"/></url>
<url><loc>https://scifaro.com/en/abs/kfc-a-scalable-approximation-algorithm-for-k-center-fair-clustering-2010.13949</loc><lastmod>2020-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kfc-a-scalable-approximation-algorithm-for-k-center-fair-clustering-2010.13949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kfc-a-scalable-approximation-algorithm-for-k-center-fair-clustering-2010.13949"/></url>
<url><loc>https://scifaro.com/en/abs/an-adversarial-domain-separation-framework-for-septic-shock-early-prediction-across-ehr-systems-2010.13952</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adversarial-domain-separation-framework-for-septic-shock-early-prediction-across-ehr-systems-2010.13952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adversarial-domain-separation-framework-for-septic-shock-early-prediction-across-ehr-systems-2010.13952"/></url>
<url><loc>https://scifaro.com/en/abs/meld-meta-reinforcement-learning-from-images-via-latent-state-models-2010.13957</loc><lastmod>2021-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meld-meta-reinforcement-learning-from-images-via-latent-state-models-2010.13957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meld-meta-reinforcement-learning-from-images-via-latent-state-models-2010.13957"/></url>
<url><loc>https://scifaro.com/en/abs/task-aware-neural-architecture-search-2010.13962</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-aware-neural-architecture-search-2010.13962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-aware-neural-architecture-search-2010.13962"/></url>
<url><loc>https://scifaro.com/en/abs/gputreeshap-massively-parallel-exact-calculation-of-shap-scores-for-tree-ensembles-2010.13972</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gputreeshap-massively-parallel-exact-calculation-of-shap-scores-for-tree-ensembles-2010.13972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gputreeshap-massively-parallel-exact-calculation-of-shap-scores-for-tree-ensembles-2010.13972"/></url>
<url><loc>https://scifaro.com/en/abs/toward-better-generalization-bounds-with-locally-elastic-stability-2010.13988</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-better-generalization-bounds-with-locally-elastic-stability-2010.13988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-better-generalization-bounds-with-locally-elastic-stability-2010.13988"/></url>
<url><loc>https://scifaro.com/en/abs/combining-label-propagation-and-simple-models-out-performs-graph-neural-networks-2010.13993</loc><lastmod>2020-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-label-propagation-and-simple-models-out-performs-graph-neural-networks-2010.13993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-label-propagation-and-simple-models-out-performs-graph-neural-networks-2010.13993"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-reinforcement-learning-for-active-learning-in-real-time-an-application-in-modeling-river-networks-2010.14000</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-reinforcement-learning-for-active-learning-in-real-time-an-application-in-modeling-river-networks-2010.14000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-reinforcement-learning-for-active-learning-in-real-time-an-application-in-modeling-river-networks-2010.14000"/></url>
<url><loc>https://scifaro.com/en/abs/know-where-to-drop-your-weights-towards-faster-uncertainty-estimation-2010.14019</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/know-where-to-drop-your-weights-towards-faster-uncertainty-estimation-2010.14019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/know-where-to-drop-your-weights-towards-faster-uncertainty-estimation-2010.14019"/></url>
<url><loc>https://scifaro.com/en/abs/faceleaks-inference-attacks-against-transfer-learning-models-via-black-box-queries-2010.14023</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faceleaks-inference-attacks-against-transfer-learning-models-via-black-box-queries-2010.14023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faceleaks-inference-attacks-against-transfer-learning-models-via-black-box-queries-2010.14023"/></url>
<url><loc>https://scifaro.com/en/abs/the-teaching-dimension-of-kernel-perceptron-2010.14043</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-teaching-dimension-of-kernel-perceptron-2010.14043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-teaching-dimension-of-kernel-perceptron-2010.14043"/></url>
<url><loc>https://scifaro.com/en/abs/enhanced-classification-accuracy-for-cardiotocogram-data-with-ensemble-feature-selection-and-classifier-ensemble-2010.14051</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhanced-classification-accuracy-for-cardiotocogram-data-with-ensemble-feature-selection-and-classifier-ensemble-2010.14051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhanced-classification-accuracy-for-cardiotocogram-data-with-ensemble-feature-selection-and-classifier-ensemble-2010.14051"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-representation-of-deep-learning-for-improving-the-information-theoretic-interpretability-2010.14054</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-representation-of-deep-learning-for-improving-the-information-theoretic-interpretability-2010.14054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-representation-of-deep-learning-for-improving-the-information-theoretic-interpretability-2010.14054"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-monte-carlo-method-for-imbalanced-data-learning-2010.14060</loc><lastmod>2022-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-monte-carlo-method-for-imbalanced-data-learning-2010.14060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-monte-carlo-method-for-imbalanced-data-learning-2010.14060"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-approximation-three-hidden-layers-are-enough-2010.14075</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-approximation-three-hidden-layers-are-enough-2010.14075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-approximation-three-hidden-layers-are-enough-2010.14075"/></url>
<url><loc>https://scifaro.com/en/abs/hamilton-jacobi-deep-q-learning-for-deterministic-continuous-time-systems-with-lipschitz-continuous-controls-2010.14087</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamilton-jacobi-deep-q-learning-for-deterministic-continuous-time-systems-with-lipschitz-continuous-controls-2010.14087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamilton-jacobi-deep-q-learning-for-deterministic-continuous-time-systems-with-lipschitz-continuous-controls-2010.14087"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-core-training-for-extremely-large-scale-neural-networks-with-adaptive-window-based-scheduling-2010.14109</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-core-training-for-extremely-large-scale-neural-networks-with-adaptive-window-based-scheduling-2010.14109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-core-training-for-extremely-large-scale-neural-networks-with-adaptive-window-based-scheduling-2010.14109"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-low-data-solution-dimension-prediction-of-semiconductor-nanorods-2010.14111</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-low-data-solution-dimension-prediction-of-semiconductor-nanorods-2010.14111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-low-data-solution-dimension-prediction-of-semiconductor-nanorods-2010.14111"/></url>
<url><loc>https://scifaro.com/en/abs/deperturbation-of-online-social-networks-via-bayesian-label-transition-2010.14121</loc><lastmod>2022-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deperturbation-of-online-social-networks-via-bayesian-label-transition-2010.14121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deperturbation-of-online-social-networks-via-bayesian-label-transition-2010.14121"/></url>
<url><loc>https://scifaro.com/en/abs/selective-classification-can-magnify-disparities-across-groups-2010.14134</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-classification-can-magnify-disparities-across-groups-2010.14134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-classification-can-magnify-disparities-across-groups-2010.14134"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-noisy-data-streams-using-weak-and-strong-labelers-2010.14149</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-noisy-data-streams-using-weak-and-strong-labelers-2010.14149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-noisy-data-streams-using-weak-and-strong-labelers-2010.14149"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-from-big-data-over-networks-2010.14159</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-from-big-data-over-networks-2010.14159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-from-big-data-over-networks-2010.14159"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-simple-and-automated-negative-sampling-for-knowledge-graph-embedding-2010.14227</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-simple-and-automated-negative-sampling-for-knowledge-graph-embedding-2010.14227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-simple-and-automated-negative-sampling-for-knowledge-graph-embedding-2010.14227"/></url>
<url><loc>https://scifaro.com/en/abs/scientific-intuition-inspired-by-machine-learning-generated-hypotheses-2010.14236</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scientific-intuition-inspired-by-machine-learning-generated-hypotheses-2010.14236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scientific-intuition-inspired-by-machine-learning-generated-hypotheses-2010.14236"/></url>
<url><loc>https://scifaro.com/en/abs/mu-nas-constrained-neural-architecture-search-for-microcontrollers-2010.14246</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mu-nas-constrained-neural-architecture-search-for-microcontrollers-2010.14246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mu-nas-constrained-neural-architecture-search-for-microcontrollers-2010.14246"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-human-in-the-loop-customs-inspection-2010.14282</loc><lastmod>2022-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-human-in-the-loop-customs-inspection-2010.14282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-human-in-the-loop-customs-inspection-2010.14282"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-framework-for-low-bitwidth-training-of-deep-neural-networks-2010.14298</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-framework-for-low-bitwidth-training-of-deep-neural-networks-2010.14298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-framework-for-low-bitwidth-training-of-deep-neural-networks-2010.14298"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-machine-learning-for-public-policy-use-cases-gaps-and-research-directions-2010.14374</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-machine-learning-for-public-policy-use-cases-gaps-and-research-directions-2010.14374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-machine-learning-for-public-policy-use-cases-gaps-and-research-directions-2010.14374"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-transfer-of-disentangled-representations-in-realistic-settings-2010.14407</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-transfer-of-disentangled-representations-in-realistic-settings-2010.14407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-transfer-of-disentangled-representations-in-realistic-settings-2010.14407"/></url>
<url><loc>https://scifaro.com/en/abs/can-reinforcement-learning-for-continuous-control-generalize-across-physics-engines-2010.14444</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-reinforcement-learning-for-continuous-control-generalize-across-physics-engines-2010.14444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-reinforcement-learning-for-continuous-control-generalize-across-physics-engines-2010.14444"/></url>
<url><loc>https://scifaro.com/en/abs/deep-probabilistic-imaging-uncertainty-quantification-and-multi-modal-solution-characterization-for-computational-imaging-2010.14462</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-probabilistic-imaging-uncertainty-quantification-and-multi-modal-solution-characterization-for-computational-imaging-2010.14462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-probabilistic-imaging-uncertainty-quantification-and-multi-modal-solution-characterization-for-computational-imaging-2010.14462"/></url>
<url><loc>https://scifaro.com/en/abs/one-solution-is-not-all-you-need-few-shot-extrapolation-via-structured-maxent-rl-2010.14484</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-solution-is-not-all-you-need-few-shot-extrapolation-via-structured-maxent-rl-2010.14484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-solution-is-not-all-you-need-few-shot-extrapolation-via-structured-maxent-rl-2010.14484"/></url>
<url><loc>https://scifaro.com/en/abs/improved-guarantees-for-k-means-and-k-means-parallel-2010.14487</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-guarantees-for-k-means-and-k-means-parallel-2010.14487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-guarantees-for-k-means-and-k-means-parallel-2010.14487"/></url>
<url><loc>https://scifaro.com/en/abs/examining-deep-learning-models-with-multiple-data-sources-for-covid-19-forecasting-2010.14491</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/examining-deep-learning-models-with-multiple-data-sources-for-covid-19-forecasting-2010.14491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/examining-deep-learning-models-with-multiple-data-sources-for-covid-19-forecasting-2010.14491"/></url>
<url><loc>https://scifaro.com/en/abs/are-wider-nets-better-given-the-same-number-of-parameters-2010.14495</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-wider-nets-better-given-the-same-number-of-parameters-2010.14495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-wider-nets-better-given-the-same-number-of-parameters-2010.14495"/></url>
<url><loc>https://scifaro.com/en/abs/generative-temporal-difference-learning-for-infinite-horizon-prediction-2010.14496</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-temporal-difference-learning-for-infinite-horizon-prediction-2010.14496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-temporal-difference-learning-for-infinite-horizon-prediction-2010.14496"/></url>
<url><loc>https://scifaro.com/en/abs/conservative-safety-critics-for-exploration-2010.14497</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conservative-safety-critics-for-exploration-2010.14497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conservative-safety-critics-for-exploration-2010.14497"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-under-parameterization-inhibits-data-efficient-deep-reinforcement-learning-2010.14498</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-under-parameterization-inhibits-data-efficient-deep-reinforcement-learning-2010.14498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-under-parameterization-inhibits-data-efficient-deep-reinforcement-learning-2010.14498"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-perspective-on-training-speed-and-model-selection-2010.14499</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-perspective-on-training-speed-and-model-selection-2010.14499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-perspective-on-training-speed-and-model-selection-2010.14499"/></url>
<url><loc>https://scifaro.com/en/abs/cog-connecting-new-skills-to-past-experience-with-offline-reinforcement-learning-2010.14500</loc><lastmod>2020-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cog-connecting-new-skills-to-past-experience-with-offline-reinforcement-learning-2010.14500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cog-connecting-new-skills-to-past-experience-with-offline-reinforcement-learning-2010.14500"/></url>
<url><loc>https://scifaro.com/en/abs/memory-optimization-for-deep-networks-2010.14501</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-optimization-for-deep-networks-2010.14501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-optimization-for-deep-networks-2010.14501"/></url>
<url><loc>https://scifaro.com/en/abs/neural-architecture-search-of-spd-manifold-networks-2010.14535</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-architecture-search-of-spd-manifold-networks-2010.14535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-architecture-search-of-spd-manifold-networks-2010.14535"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-domain-adaptation-for-visual-navigation-2010.14543</loc><lastmod>2020-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-for-visual-navigation-2010.14543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-for-visual-navigation-2010.14543"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-dueling-bandits-2010.14563</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-dueling-bandits-2010.14563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-dueling-bandits-2010.14563"/></url>
<url><loc>https://scifaro.com/en/abs/shapley-flow-a-graph-based-approach-to-interpreting-model-predictions-2010.14592</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shapley-flow-a-graph-based-approach-to-interpreting-model-predictions-2010.14592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shapley-flow-a-graph-based-approach-to-interpreting-model-predictions-2010.14592"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-be-safe-deep-rl-with-a-safety-critic-2010.14603</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-be-safe-deep-rl-with-a-safety-critic-2010.14603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-be-safe-deep-rl-with-a-safety-critic-2010.14603"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-plan-optimistically-uncertainty-guided-deep-exploration-via-latent-model-ensembles-2010.14641</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-plan-optimistically-uncertainty-guided-deep-exploration-via-latent-model-ensembles-2010.14641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-plan-optimistically-uncertainty-guided-deep-exploration-via-latent-model-ensembles-2010.14641"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-difference-learning-as-gradient-splitting-2010.14657</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-difference-learning-as-gradient-splitting-2010.14657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-difference-learning-as-gradient-splitting-2010.14657"/></url>
<url><loc>https://scifaro.com/en/abs/faster-differentially-private-samplers-via-r-enyi-divergence-analysis-of-discretized-langevin-mcmc-2010.14658</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-differentially-private-samplers-via-r-enyi-divergence-analysis-of-discretized-langevin-mcmc-2010.14658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-differentially-private-samplers-via-r-enyi-divergence-analysis-of-discretized-langevin-mcmc-2010.14658"/></url>
<url><loc>https://scifaro.com/en/abs/system-identification-via-meta-learning-in-linear-time-varying-environments-2010.14664</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/system-identification-via-meta-learning-in-linear-time-varying-environments-2010.14664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/system-identification-via-meta-learning-in-linear-time-varying-environments-2010.14664"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-primary-and-secondary-losses-2010.14670</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-primary-and-secondary-losses-2010.14670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-primary-and-secondary-losses-2010.14670"/></url>
<url><loc>https://scifaro.com/en/abs/how-does-the-task-landscape-affect-maml-performance-2010.14672</loc><lastmod>2022-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-does-the-task-landscape-affect-maml-performance-2010.14672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-does-the-task-landscape-affect-maml-performance-2010.14672"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-represent-action-values-as-a-hypergraph-on-the-action-vertices-2010.14680</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-represent-action-values-as-a-hypergraph-on-the-action-vertices-2010.14680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-represent-action-values-as-a-hypergraph-on-the-action-vertices-2010.14680"/></url>
<url><loc>https://scifaro.com/en/abs/milr-mathematically-induced-layer-recovery-for-plaintext-space-error-correction-of-cnns-2010.14687</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/milr-mathematically-induced-layer-recovery-for-plaintext-space-error-correction-of-cnns-2010.14687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/milr-mathematically-induced-layer-recovery-for-plaintext-space-error-correction-of-cnns-2010.14687"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-deep-learning-via-subnetwork-inference-2010.14689</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-deep-learning-via-subnetwork-inference-2010.14689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-deep-learning-via-subnetwork-inference-2010.14689"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-symmetric-tensor-regression-for-functional-connectivity-analysis-2010.14700</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-symmetric-tensor-regression-for-functional-connectivity-analysis-2010.14700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-symmetric-tensor-regression-for-functional-connectivity-analysis-2010.14700"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-laws-for-autoregressive-generative-modeling-2010.14701</loc><lastmod>2020-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-laws-for-autoregressive-generative-modeling-2010.14701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-laws-for-autoregressive-generative-modeling-2010.14701"/></url>
<url><loc>https://scifaro.com/en/abs/a-short-note-on-the-decision-tree-based-neural-turing-machine-2010.14753</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-short-note-on-the-decision-tree-based-neural-turing-machine-2010.14753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-short-note-on-the-decision-tree-based-neural-turing-machine-2010.14753"/></url>
<url><loc>https://scifaro.com/en/abs/wide-flat-minima-and-optimal-generalization-in-classifying-high-dimensional-gaussian-mixtures-2010.14761</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wide-flat-minima-and-optimal-generalization-in-classifying-high-dimensional-gaussian-mixtures-2010.14761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wide-flat-minima-and-optimal-generalization-in-classifying-high-dimensional-gaussian-mixtures-2010.14761"/></url>
<url><loc>https://scifaro.com/en/abs/hogwild-over-distributed-local-data-sets-with-linearly-increasing-mini-batch-sizes-2010.14763</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hogwild-over-distributed-local-data-sets-with-linearly-increasing-mini-batch-sizes-2010.14763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hogwild-over-distributed-local-data-sets-with-linearly-increasing-mini-batch-sizes-2010.14763"/></url>
<url><loc>https://scifaro.com/en/abs/deep-networks-from-the-principle-of-rate-reduction-2010.14765</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-networks-from-the-principle-of-rate-reduction-2010.14765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-networks-from-the-principle-of-rate-reduction-2010.14765"/></url>
<url><loc>https://scifaro.com/en/abs/a-sober-look-at-the-unsupervised-learning-of-disentangled-representations-and-their-evaluation-2010.14766</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sober-look-at-the-unsupervised-learning-of-disentangled-representations-and-their-evaluation-2010.14766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sober-look-at-the-unsupervised-learning-of-disentangled-representations-and-their-evaluation-2010.14766"/></url>
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<url><loc>https://scifaro.com/en/abs/graph-embedding-using-multi-layer-adjacent-point-merging-model-2010.14773</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-embedding-using-multi-layer-adjacent-point-merging-model-2010.14773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-embedding-using-multi-layer-adjacent-point-merging-model-2010.14773"/></url>
<url><loc>https://scifaro.com/en/abs/structural-causal-model-with-expert-augmented-knowledge-to-estimate-the-effect-of-oxygen-therapy-on-mortality-in-the-icu-2010.14774</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-causal-model-with-expert-augmented-knowledge-to-estimate-the-effect-of-oxygen-therapy-on-mortality-in-the-icu-2010.14774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-causal-model-with-expert-augmented-knowledge-to-estimate-the-effect-of-oxygen-therapy-on-mortality-in-the-icu-2010.14774"/></url>
<url><loc>https://scifaro.com/en/abs/dna-differentiable-network-accelerator-co-search-2010.14778</loc><lastmod>2025-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dna-differentiable-network-accelerator-co-search-2010.14778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dna-differentiable-network-accelerator-co-search-2010.14778"/></url>
<url><loc>https://scifaro.com/en/abs/designing-interpretable-approximations-to-deep-reinforcement-learning-2010.14785</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-interpretable-approximations-to-deep-reinforcement-learning-2010.14785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-interpretable-approximations-to-deep-reinforcement-learning-2010.14785"/></url>
<url><loc>https://scifaro.com/en/abs/higher-order-linear-transformer-2010.14816</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higher-order-linear-transformer-2010.14816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higher-order-linear-transformer-2010.14816"/></url>
<url><loc>https://scifaro.com/en/abs/deep-manifold-transformation-for-nonlinear-dimensionality-reduction-2010.14831</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-manifold-transformation-for-nonlinear-dimensionality-reduction-2010.14831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-manifold-transformation-for-nonlinear-dimensionality-reduction-2010.14831"/></url>
<url><loc>https://scifaro.com/en/abs/sample-optimal-and-efficient-learning-of-tree-ising-models-2010.14864</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-optimal-and-efficient-learning-of-tree-ising-models-2010.14864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-optimal-and-efficient-learning-of-tree-ising-models-2010.14864"/></url>
<url><loc>https://scifaro.com/en/abs/fighting-copycat-agents-in-behavioral-cloning-from-observation-histories-2010.14876</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fighting-copycat-agents-in-behavioral-cloning-from-observation-histories-2010.14876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fighting-copycat-agents-in-behavioral-cloning-from-observation-histories-2010.14876"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimal-control-approach-to-learning-in-sidarthe-epidemic-model-2010.14878</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimal-control-approach-to-learning-in-sidarthe-epidemic-model-2010.14878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimal-control-approach-to-learning-in-sidarthe-epidemic-model-2010.14878"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-bayesian-approach-for-decision-making-in-ego-things-2010.14900</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-bayesian-approach-for-decision-making-in-ego-things-2010.14900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-bayesian-approach-for-decision-making-in-ego-things-2010.14900"/></url>
<url><loc>https://scifaro.com/en/abs/online-feature-selection-for-rapid-low-overhead-learning-in-networked-systems-2010.14907</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-feature-selection-for-rapid-low-overhead-learning-in-networked-systems-2010.14907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-feature-selection-for-rapid-low-overhead-learning-in-networked-systems-2010.14907"/></url>
<url><loc>https://scifaro.com/en/abs/collective-awareness-for-abnormality-detection-in-connected-autonomous-vehicles-2010.14908</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collective-awareness-for-abnormality-detection-in-connected-autonomous-vehicles-2010.14908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collective-awareness-for-abnormality-detection-in-connected-autonomous-vehicles-2010.14908"/></url>
<url><loc>https://scifaro.com/en/abs/most-relu-networks-suffer-from-ell-2-adversarial-perturbations-2010.14927</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/most-relu-networks-suffer-from-ell-2-adversarial-perturbations-2010.14927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/most-relu-networks-suffer-from-ell-2-adversarial-perturbations-2010.14927"/></url>
<url><loc>https://scifaro.com/en/abs/graph-contrastive-learning-with-adaptive-augmentation-2010.14945</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-contrastive-learning-with-adaptive-augmentation-2010.14945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-contrastive-learning-with-adaptive-augmentation-2010.14945"/></url>
<url><loc>https://scifaro.com/en/abs/smart-anomaly-detection-in-sensor-systems-a-multi-perspective-review-2010.14946</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smart-anomaly-detection-in-sensor-systems-a-multi-perspective-review-2010.14946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smart-anomaly-detection-in-sensor-systems-a-multi-perspective-review-2010.14946"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-reduction-and-anomaly-detection-for-cpps-data-using-autoencoder-2010.14957</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-reduction-and-anomaly-detection-for-cpps-data-using-autoencoder-2010.14957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-reduction-and-anomaly-detection-for-cpps-data-using-autoencoder-2010.14957"/></url>
<url><loc>https://scifaro.com/en/abs/technical-note-game-theoretic-interactions-of-different-orders-2010.14978</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/technical-note-game-theoretic-interactions-of-different-orders-2010.14978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/technical-note-game-theoretic-interactions-of-different-orders-2010.14978"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-robustness-of-predictive-uncertainty-estimation-are-dirichlet-based-models-reliable-2010.14986</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-robustness-of-predictive-uncertainty-estimation-are-dirichlet-based-models-reliable-2010.14986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-robustness-of-predictive-uncertainty-estimation-are-dirichlet-based-models-reliable-2010.14986"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-multiplicative-relations-in-neural-networks-2010.15003</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-multiplicative-relations-in-neural-networks-2010.15003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-multiplicative-relations-in-neural-networks-2010.15003"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-scattering-attention-networks-2010.15010</loc><lastmod>2022-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-scattering-attention-networks-2010.15010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-scattering-attention-networks-2010.15010"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-classification-accuracy-when-adding-new-unobserved-classes-2010.15011</loc><lastmod>2024-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-classification-accuracy-when-adding-new-unobserved-classes-2010.15011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-classification-accuracy-when-adding-new-unobserved-classes-2010.15011"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-in-unknown-markov-games-2010.15020</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-in-unknown-markov-games-2010.15020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-in-unknown-markov-games-2010.15020"/></url>
<url><loc>https://scifaro.com/en/abs/deeprite-deep-recurrent-inverse-treatment-weighting-for-adjusting-time-varying-confounding-in-modern-longitudinal-observational-data-2010.15028</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeprite-deep-recurrent-inverse-treatment-weighting-for-adjusting-time-varying-confounding-in-modern-longitudinal-observational-data-2010.15028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeprite-deep-recurrent-inverse-treatment-weighting-for-adjusting-time-varying-confounding-in-modern-longitudinal-observational-data-2010.15028"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-continuous-pairwise-markov-random-fields-2010.15031</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-continuous-pairwise-markov-random-fields-2010.15031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-continuous-pairwise-markov-random-fields-2010.15031"/></url>
<url><loc>https://scifaro.com/en/abs/attribution-preservation-in-network-compression-for-reliable-network-interpretation-2010.15054</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attribution-preservation-in-network-compression-for-reliable-network-interpretation-2010.15054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attribution-preservation-in-network-compression-for-reliable-network-interpretation-2010.15054"/></url>
<url><loc>https://scifaro.com/en/abs/self-awareness-in-intelligent-vehicles-experience-based-abnormality-detection-2010.15056</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-awareness-in-intelligent-vehicles-experience-based-abnormality-detection-2010.15056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-awareness-in-intelligent-vehicles-experience-based-abnormality-detection-2010.15056"/></url>
<url><loc>https://scifaro.com/en/abs/finite-time-convergence-rates-of-decentralized-stochastic-approximation-with-applications-in-multi-agent-and-multi-task-learning-2010.15088</loc><lastmod>2022-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-time-convergence-rates-of-decentralized-stochastic-approximation-with-applications-in-multi-agent-and-multi-task-learning-2010.15088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-time-convergence-rates-of-decentralized-stochastic-approximation-with-applications-in-multi-agent-and-multi-task-learning-2010.15088"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-model-robustness-and-stability-to-dataset-shift-2010.15100</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-model-robustness-and-stability-to-dataset-shift-2010.15100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-model-robustness-and-stability-to-dataset-shift-2010.15100"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-versus-kernel-learning-an-empirical-study-of-loss-landscape-geometry-and-the-time-evolution-of-the-neural-tangent-kernel-2010.15110</loc><lastmod>2020-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-versus-kernel-learning-an-empirical-study-of-loss-landscape-geometry-and-the-time-evolution-of-the-neural-tangent-kernel-2010.15110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-versus-kernel-learning-an-empirical-study-of-loss-landscape-geometry-and-the-time-evolution-of-the-neural-tangent-kernel-2010.15110"/></url>
<url><loc>https://scifaro.com/en/abs/the-geometry-of-integration-in-text-classification-rnns-2010.15114</loc><lastmod>2022-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-geometry-of-integration-in-text-classification-rnns-2010.15114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-geometry-of-integration-in-text-classification-rnns-2010.15114"/></url>
<url><loc>https://scifaro.com/en/abs/on-graph-neural-networks-versus-graph-augmented-mlps-2010.15116</loc><lastmod>2020-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-graph-neural-networks-versus-graph-augmented-mlps-2010.15116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-graph-neural-networks-versus-graph-augmented-mlps-2010.15116"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-on-efficiency-in-continual-learning-inspired-by-human-learning-2010.15187</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-on-efficiency-in-continual-learning-inspired-by-human-learning-2010.15187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-on-efficiency-in-continual-learning-inspired-by-human-learning-2010.15187"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-sparse-reward-object-interaction-tasks-in-a-first-person-simulated-3d-environment-2010.15195</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-sparse-reward-object-interaction-tasks-in-a-first-person-simulated-3d-environment-2010.15195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-sparse-reward-object-interaction-tasks-in-a-first-person-simulated-3d-environment-2010.15195"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-hamiltonian-dynamics-without-canonical-coordinates-2010.15201</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-hamiltonian-dynamics-without-canonical-coordinates-2010.15201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-hamiltonian-dynamics-without-canonical-coordinates-2010.15201"/></url>
<url><loc>https://scifaro.com/en/abs/linear-regression-games-convergence-guarantees-to-approximate-out-of-distribution-solutions-2010.15234</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-regression-games-convergence-guarantees-to-approximate-out-of-distribution-solutions-2010.15234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-regression-games-convergence-guarantees-to-approximate-out-of-distribution-solutions-2010.15234"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-policies-for-reliable-cellular-network-handovers-in-extreme-mobility-2010.15237</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-policies-for-reliable-cellular-network-handovers-in-extreme-mobility-2010.15237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-policies-for-reliable-cellular-network-handovers-in-extreme-mobility-2010.15237"/></url>
<url><loc>https://scifaro.com/en/abs/test-set-optimization-by-machine-learning-algorithms-2010.15240</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/test-set-optimization-by-machine-learning-algorithms-2010.15240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/test-set-optimization-by-machine-learning-algorithms-2010.15240"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-pathologies-of-approximate-policy-evaluation-when-combined-with-greedification-in-reinforcement-learning-2010.15268</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-pathologies-of-approximate-policy-evaluation-when-combined-with-greedification-in-reinforcement-learning-2010.15268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-pathologies-of-approximate-policy-evaluation-when-combined-with-greedification-in-reinforcement-learning-2010.15268"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-for-improved-interpretability-and-classification-accuracy-of-clinical-factors-from-eeg-2010.15274</loc><lastmod>2020-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-for-improved-interpretability-and-classification-accuracy-of-clinical-factors-from-eeg-2010.15274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-for-improved-interpretability-and-classification-accuracy-of-clinical-factors-from-eeg-2010.15274"/></url>
<url><loc>https://scifaro.com/en/abs/class-incremental-learning-survey-and-performance-evaluation-on-image-classification-2010.15277</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-incremental-learning-survey-and-performance-evaluation-on-image-classification-2010.15277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-incremental-learning-survey-and-performance-evaluation-on-image-classification-2010.15277"/></url>
<url><loc>https://scifaro.com/en/abs/gens-generative-encoding-networks-2010.15283</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gens-generative-encoding-networks-2010.15283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gens-generative-encoding-networks-2010.15283"/></url>
<url><loc>https://scifaro.com/en/abs/speech-image-semantic-alignment-does-not-depend-on-any-prior-classification-tasks-2010.15288</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speech-image-semantic-alignment-does-not-depend-on-any-prior-classification-tasks-2010.15288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speech-image-semantic-alignment-does-not-depend-on-any-prior-classification-tasks-2010.15288"/></url>
<url><loc>https://scifaro.com/en/abs/do-wide-and-deep-networks-learn-the-same-things-uncovering-how-neural-network-representations-vary-with-width-and-depth-2010.15327</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-wide-and-deep-networks-learn-the-same-things-uncovering-how-neural-network-representations-vary-with-width-and-depth-2010.15327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-wide-and-deep-networks-learn-the-same-things-uncovering-how-neural-network-representations-vary-with-width-and-depth-2010.15327"/></url>
<url><loc>https://scifaro.com/en/abs/financial-ticket-intelligent-recognition-system-based-on-deep-learning-2010.15356</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/financial-ticket-intelligent-recognition-system-based-on-deep-learning-2010.15356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/financial-ticket-intelligent-recognition-system-based-on-deep-learning-2010.15356"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-sequential-pattern-mining-of-event-sequences-in-sport-to-identify-important-patterns-of-play-an-application-to-rugby-union-2010.15377</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-sequential-pattern-mining-of-event-sequences-in-sport-to-identify-important-patterns-of-play-an-application-to-rugby-union-2010.15377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-sequential-pattern-mining-of-event-sequences-in-sport-to-identify-important-patterns-of-play-an-application-to-rugby-union-2010.15377"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-actively-learn-a-robust-approach-2010.15382</loc><lastmod>2025-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-actively-learn-a-robust-approach-2010.15382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-actively-learn-a-robust-approach-2010.15382"/></url>
<url><loc>https://scifaro.com/en/abs/multitask-bandit-learning-through-heterogeneous-feedback-aggregation-2010.15390</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multitask-bandit-learning-through-heterogeneous-feedback-aggregation-2010.15390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multitask-bandit-learning-through-heterogeneous-feedback-aggregation-2010.15390"/></url>
<url><loc>https://scifaro.com/en/abs/robustifying-binary-classification-to-adversarial-perturbation-2010.15391</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustifying-binary-classification-to-adversarial-perturbation-2010.15391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustifying-binary-classification-to-adversarial-perturbation-2010.15391"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-interval-estimation-with-lipschitz-value-iteration-2010.15392</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-interval-estimation-with-lipschitz-value-iteration-2010.15392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-interval-estimation-with-lipschitz-value-iteration-2010.15392"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-and-harnessing-transference-in-multi-task-learning-2010.15413</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-and-harnessing-transference-in-multi-task-learning-2010.15413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-and-harnessing-transference-in-multi-task-learning-2010.15413"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-anomaly-detection-algorithm-for-hybrid-production-systems-based-on-deep-learning-and-timed-automata-2010.15415</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-anomaly-detection-algorithm-for-hybrid-production-systems-based-on-deep-learning-and-timed-automata-2010.15415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-anomaly-detection-algorithm-for-hybrid-production-systems-based-on-deep-learning-and-timed-automata-2010.15415"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-graph-neural-networks-via-bidirectional-propagation-2010.15421</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-graph-neural-networks-via-bidirectional-propagation-2010.15421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-graph-neural-networks-via-bidirectional-propagation-2010.15421"/></url>
<url><loc>https://scifaro.com/en/abs/self-paced-data-augmentation-for-training-neural-networks-2010.15434</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-paced-data-augmentation-for-training-neural-networks-2010.15434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-paced-data-augmentation-for-training-neural-networks-2010.15434"/></url>
<url><loc>https://scifaro.com/en/abs/self-awareness-in-intelligent-vehicles-feature-based-dynamic-bayesian-models-for-abnormality-detection-2010.15441</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-awareness-in-intelligent-vehicles-feature-based-dynamic-bayesian-models-for-abnormality-detection-2010.15441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-awareness-in-intelligent-vehicles-feature-based-dynamic-bayesian-models-for-abnormality-detection-2010.15441"/></url>
<url><loc>https://scifaro.com/en/abs/multilayer-clustered-graph-learning-2010.15456</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilayer-clustered-graph-learning-2010.15456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilayer-clustered-graph-learning-2010.15456"/></url>
<url><loc>https://scifaro.com/en/abs/figlearn-filter-and-graph-learning-using-optimal-transport-2010.15457</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/figlearn-filter-and-graph-learning-using-optimal-transport-2010.15457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/figlearn-filter-and-graph-learning-using-optimal-transport-2010.15457"/></url>
<url><loc>https://scifaro.com/en/abs/emergence-of-spatial-coordinates-via-exploration-2010.15469</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emergence-of-spatial-coordinates-via-exploration-2010.15469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emergence-of-spatial-coordinates-via-exploration-2010.15469"/></url>
<url><loc>https://scifaro.com/en/abs/how-do-offline-measures-for-exploration-in-reinforcement-learning-behave-2010.15533</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-do-offline-measures-for-exploration-in-reinforcement-learning-behave-2010.15533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-do-offline-measures-for-exploration-in-reinforcement-learning-behave-2010.15533"/></url>
<url><loc>https://scifaro.com/en/abs/multi-constitutive-neural-network-for-large-deformation-poromechanics-problem-2010.15549</loc><lastmod>2024-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-constitutive-neural-network-for-large-deformation-poromechanics-problem-2010.15549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-constitutive-neural-network-for-large-deformation-poromechanics-problem-2010.15549"/></url>
<url><loc>https://scifaro.com/en/abs/adabook-multibook-adaptive-boosting-with-chance-correction-2010.15550</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adabook-multibook-adaptive-boosting-with-chance-correction-2010.15550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adabook-multibook-adaptive-boosting-with-chance-correction-2010.15550"/></url>
<url><loc>https://scifaro.com/en/abs/successive-halving-top-k-operator-2010.15552</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/successive-halving-top-k-operator-2010.15552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/successive-halving-top-k-operator-2010.15552"/></url>
<url><loc>https://scifaro.com/en/abs/modulation-pattern-detection-using-complex-convolutions-in-deep-learning-2010.15556</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modulation-pattern-detection-using-complex-convolutions-in-deep-learning-2010.15556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modulation-pattern-detection-using-complex-convolutions-in-deep-learning-2010.15556"/></url>
<url><loc>https://scifaro.com/en/abs/federated-transfer-learning-concept-and-applications-2010.15561</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-transfer-learning-concept-and-applications-2010.15561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-transfer-learning-concept-and-applications-2010.15561"/></url>
<url><loc>https://scifaro.com/en/abs/a-semi-supervised-autoencoder-framework-for-joint-generation-and-classification-of-breathing-2010.15579</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-semi-supervised-autoencoder-framework-for-joint-generation-and-classification-of-breathing-2010.15579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-semi-supervised-autoencoder-framework-for-joint-generation-and-classification-of-breathing-2010.15579"/></url>
<url><loc>https://scifaro.com/en/abs/improving-accuracy-of-federated-learning-in-non-iid-settings-2010.15582</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-accuracy-of-federated-learning-in-non-iid-settings-2010.15582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-accuracy-of-federated-learning-in-non-iid-settings-2010.15582"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-transformers-2010.15583</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-transformers-2010.15583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-transformers-2010.15583"/></url>
<url><loc>https://scifaro.com/en/abs/shared-space-transfer-learning-for-analyzing-multi-site-fmri-data-2010.15594</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shared-space-transfer-learning-for-analyzing-multi-site-fmri-data-2010.15594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shared-space-transfer-learning-for-analyzing-multi-site-fmri-data-2010.15594"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-reinforcement-learning-by-a-finite-reward-response-filter-with-a-case-study-in-intelligent-structural-control-2010.15597</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-reinforcement-learning-by-a-finite-reward-response-filter-with-a-case-study-in-intelligent-structural-control-2010.15597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-reinforcement-learning-by-a-finite-reward-response-filter-with-a-case-study-in-intelligent-structural-control-2010.15597"/></url>
<url><loc>https://scifaro.com/en/abs/expert-selection-in-high-dimensional-markov-decision-processes-2010.15599</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expert-selection-in-high-dimensional-markov-decision-processes-2010.15599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expert-selection-in-high-dimensional-markov-decision-processes-2010.15599"/></url>
<url><loc>https://scifaro.com/en/abs/autoregressive-asymmetric-linear-gaussian-hidden-markov-models-2010.15604</loc><lastmod>2023-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoregressive-asymmetric-linear-gaussian-hidden-markov-models-2010.15604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoregressive-asymmetric-linear-gaussian-hidden-markov-models-2010.15604"/></url>
<url><loc>https://scifaro.com/en/abs/abstract-value-iteration-for-hierarchical-reinforcement-learning-2010.15638</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abstract-value-iteration-for-hierarchical-reinforcement-learning-2010.15638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abstract-value-iteration-for-hierarchical-reinforcement-learning-2010.15638"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-graph-neural-networks-via-robust-aggregation-2010.15651</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-graph-neural-networks-via-robust-aggregation-2010.15651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-graph-neural-networks-via-robust-aggregation-2010.15651"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-speech-recognition-via-graph-based-temporal-classification-2010.15653</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-speech-recognition-via-graph-based-temporal-classification-2010.15653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-speech-recognition-via-graph-based-temporal-classification-2010.15653"/></url>
<url><loc>https://scifaro.com/en/abs/lstm-for-model-based-anomaly-detection-in-cyber-physical-systems-2010.15680</loc><lastmod>2020-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lstm-for-model-based-anomaly-detection-in-cyber-physical-systems-2010.15680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lstm-for-model-based-anomaly-detection-in-cyber-physical-systems-2010.15680"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-the-tree-layer-structure-of-deep-forests-2010.15690</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-the-tree-layer-structure-of-deep-forests-2010.15690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-the-tree-layer-structure-of-deep-forests-2010.15690"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-of-causal-variables-using-mediation-analysis-2010.15745</loc><lastmod>2022-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-of-causal-variables-using-mediation-analysis-2010.15745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-of-causal-variables-using-mediation-analysis-2010.15745"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-bandit-optimization-of-the-thermodynamic-variational-objective-2010.15750</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-bandit-optimization-of-the-thermodynamic-variational-objective-2010.15750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-bandit-optimization-of-the-thermodynamic-variational-objective-2010.15750"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-failure-modes-of-out-of-distribution-generalization-2010.15775</loc><lastmod>2024-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-failure-modes-of-out-of-distribution-generalization-2010.15775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-failure-modes-of-out-of-distribution-generalization-2010.15775"/></url>
<url><loc>https://scifaro.com/en/abs/targeting-for-long-term-outcomes-2010.15835</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/targeting-for-long-term-outcomes-2010.15835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/targeting-for-long-term-outcomes-2010.15835"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-trajectory-prediction-with-fuzzy-query-attention-2010.15891</loc><lastmod>2020-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-trajectory-prediction-with-fuzzy-query-attention-2010.15891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-trajectory-prediction-with-fuzzy-query-attention-2010.15891"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-network-for-metal-organic-framework-potential-energy-approximation-2010.15908</loc><lastmod>2020-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-network-for-metal-organic-framework-potential-energy-approximation-2010.15908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-network-for-metal-organic-framework-potential-energy-approximation-2010.15908"/></url>
<url><loc>https://scifaro.com/en/abs/gripnet-graph-information-propagation-on-supergraph-for-heterogeneous-graphs-2010.15914</loc><lastmod>2025-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gripnet-graph-information-propagation-on-supergraph-for-heterogeneous-graphs-2010.15914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gripnet-graph-information-propagation-on-supergraph-for-heterogeneous-graphs-2010.15914"/></url>
<url><loc>https://scifaro.com/en/abs/recovery-rl-safe-reinforcement-learning-with-learned-recovery-zones-2010.15920</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovery-rl-safe-reinforcement-learning-with-learned-recovery-zones-2010.15920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovery-rl-safe-reinforcement-learning-with-learned-recovery-zones-2010.15920"/></url>
<url><loc>https://scifaro.com/en/abs/a-spatio-temporal-track-association-algorithm-based-on-marine-vessel-automatic-identification-system-data-2010.15921</loc><lastmod>2022-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spatio-temporal-track-association-algorithm-based-on-marine-vessel-automatic-identification-system-data-2010.15921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spatio-temporal-track-association-algorithm-based-on-marine-vessel-automatic-identification-system-data-2010.15921"/></url>
<url><loc>https://scifaro.com/en/abs/machine-versus-human-attention-in-deep-reinforcement-learning-tasks-2010.15942</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-versus-human-attention-in-deep-reinforcement-learning-tasks-2010.15942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-versus-human-attention-in-deep-reinforcement-learning-tasks-2010.15942"/></url>
<url><loc>https://scifaro.com/en/abs/graph-regularized-autoencoder-and-its-application-in-unsupervised-anomaly-detection-2010.15949</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-regularized-autoencoder-and-its-application-in-unsupervised-anomaly-detection-2010.15949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-regularized-autoencoder-and-its-application-in-unsupervised-anomaly-detection-2010.15949"/></url>
<url><loc>https://scifaro.com/en/abs/compensating-data-shortages-in-manufacturing-with-monotonicity-knowledge-2010.15955</loc><lastmod>2023-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compensating-data-shortages-in-manufacturing-with-monotonicity-knowledge-2010.15955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compensating-data-shortages-in-manufacturing-with-monotonicity-knowledge-2010.15955"/></url>
<url><loc>https://scifaro.com/en/abs/training-speech-recognition-models-with-federated-learning-a-quality-cost-framework-2010.15965</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-speech-recognition-models-with-federated-learning-a-quality-cost-framework-2010.15965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-speech-recognition-models-with-federated-learning-a-quality-cost-framework-2010.15965"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-optimization-provably-wins-the-lottery-logarithmic-number-of-winning-tickets-is-enough-2010.15969</loc><lastmod>2020-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-optimization-provably-wins-the-lottery-logarithmic-number-of-winning-tickets-is-enough-2010.15969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-optimization-provably-wins-the-lottery-logarithmic-number-of-winning-tickets-is-enough-2010.15969"/></url>
<url><loc>https://scifaro.com/en/abs/a-greedy-algorithm-for-quantizing-neural-networks-2010.15979</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-greedy-algorithm-for-quantizing-neural-networks-2010.15979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-greedy-algorithm-for-quantizing-neural-networks-2010.15979"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-one-shot-learning-of-both-specific-instances-and-generalised-classes-with-a-hippocampal-architecture-2010.15999</loc><lastmod>2020-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-one-shot-learning-of-both-specific-instances-and-generalised-classes-with-a-hippocampal-architecture-2010.15999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-one-shot-learning-of-both-specific-instances-and-generalised-classes-with-a-hippocampal-architecture-2010.15999"/></url>
<url><loc>https://scifaro.com/en/abs/pomo-policy-optimization-with-multiple-optima-for-reinforcement-learning-2010.16011</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pomo-policy-optimization-with-multiple-optima-for-reinforcement-learning-2010.16011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pomo-policy-optimization-with-multiple-optima-for-reinforcement-learning-2010.16011"/></url>
<url><loc>https://scifaro.com/en/abs/semantic-labeling-using-a-deep-contextualized-language-model-2010.16037</loc><lastmod>2020-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantic-labeling-using-a-deep-contextualized-language-model-2010.16037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantic-labeling-using-a-deep-contextualized-language-model-2010.16037"/></url>
<url><loc>https://scifaro.com/en/abs/deep-hurdle-networks-for-zero-inflated-multi-target-regression-application-to-multiple-species-abundance-estimation-2010.16040</loc><lastmod>2020-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-hurdle-networks-for-zero-inflated-multi-target-regression-application-to-multiple-species-abundance-estimation-2010.16040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-hurdle-networks-for-zero-inflated-multi-target-regression-application-to-multiple-species-abundance-estimation-2010.16040"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-machine-learning-models-for-predicting-and-explaining-vehicle-fuel-consumption-anomalies-2010.16051</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-machine-learning-models-for-predicting-and-explaining-vehicle-fuel-consumption-anomalies-2010.16051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-machine-learning-models-for-predicting-and-explaining-vehicle-fuel-consumption-anomalies-2010.16051"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-embedding-of-hierarchical-structure-in-euclidean-space-2010.16055</loc><lastmod>2020-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-embedding-of-hierarchical-structure-in-euclidean-space-2010.16055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-embedding-of-hierarchical-structure-in-euclidean-space-2010.16055"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-from-precision-recall-and-f-measure-to-roc-informedness-markedness-and-correlation-2010.16061</loc><lastmod>2020-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-from-precision-recall-and-f-measure-to-roc-informedness-markedness-and-correlation-2010.16061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-from-precision-recall-and-f-measure-to-roc-informedness-markedness-and-correlation-2010.16061"/></url>
<url><loc>https://scifaro.com/en/abs/health-improvement-framework-for-planning-actionable-treatment-process-using-surrogate-bayesian-model-2010.16087</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/health-improvement-framework-for-planning-actionable-treatment-process-using-surrogate-bayesian-model-2010.16087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/health-improvement-framework-for-planning-actionable-treatment-process-using-surrogate-bayesian-model-2010.16087"/></url>
<url><loc>https://scifaro.com/en/abs/when-contrastive-learning-meets-active-learning-a-novel-graph-active-learning-paradigm-with-self-supervision-2010.16091</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-contrastive-learning-meets-active-learning-a-novel-graph-active-learning-paradigm-with-self-supervision-2010.16091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-contrastive-learning-meets-active-learning-a-novel-graph-active-learning-paradigm-with-self-supervision-2010.16091"/></url>
<url><loc>https://scifaro.com/en/abs/centralized-active-tracking-of-a-markov-chain-with-unknown-dynamics-2010.16095</loc><lastmod>2020-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/centralized-active-tracking-of-a-markov-chain-with-unknown-dynamics-2010.16095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/centralized-active-tracking-of-a-markov-chain-with-unknown-dynamics-2010.16095"/></url>
<url><loc>https://scifaro.com/en/abs/labeling-trick-a-theory-of-using-graph-neural-networks-for-multi-node-representation-learning-2010.16103</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/labeling-trick-a-theory-of-using-graph-neural-networks-for-multi-node-representation-learning-2010.16103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/labeling-trick-a-theory-of-using-graph-neural-networks-for-multi-node-representation-learning-2010.16103"/></url>
<url><loc>https://scifaro.com/en/abs/multiview-variational-graph-autoencoders-for-canonical-correlation-analysis-2010.16132</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiview-variational-graph-autoencoders-for-canonical-correlation-analysis-2010.16132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiview-variational-graph-autoencoders-for-canonical-correlation-analysis-2010.16132"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-lda-2010.16138</loc><lastmod>2020-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-lda-2010.16138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-lda-2010.16138"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-feature-selection-via-tensor-decomposition-and-submodularity-2010.16181</loc><lastmod>2022-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-feature-selection-via-tensor-decomposition-and-submodularity-2010.16181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-feature-selection-via-tensor-decomposition-and-submodularity-2010.16181"/></url>
<url><loc>https://scifaro.com/en/abs/multiplicative-updates-for-nmf-with-beta-divergences-under-disjoint-equality-constraints-2010.16223</loc><lastmod>2022-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiplicative-updates-for-nmf-with-beta-divergences-under-disjoint-equality-constraints-2010.16223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiplicative-updates-for-nmf-with-beta-divergences-under-disjoint-equality-constraints-2010.16223"/></url>
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<url><loc>https://scifaro.com/en/abs/diffusion-models-for-handwriting-generation-2011.06704</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-models-for-handwriting-generation-2011.06704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-models-for-handwriting-generation-2011.06704"/></url>
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<url><loc>https://scifaro.com/en/abs/power-system-event-identification-based-on-deep-neural-network-with-information-loading-2011.06718</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-system-event-identification-based-on-deep-neural-network-with-information-loading-2011.06718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-system-event-identification-based-on-deep-neural-network-with-information-loading-2011.06718"/></url>
<url><loc>https://scifaro.com/en/abs/a-gan-based-approach-for-mitigating-inference-attacks-in-smart-home-environment-2011.06725</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gan-based-approach-for-mitigating-inference-attacks-in-smart-home-environment-2011.06725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gan-based-approach-for-mitigating-inference-attacks-in-smart-home-environment-2011.06725"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-learning-in-deep-neural-networks-using-layer-wise-weight-change-2011.06735</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-learning-in-deep-neural-networks-using-layer-wise-weight-change-2011.06735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-learning-in-deep-neural-networks-using-layer-wise-weight-change-2011.06735"/></url>
<url><loc>https://scifaro.com/en/abs/metric-free-individual-fairness-with-cooperative-contextual-bandits-2011.06738</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-free-individual-fairness-with-cooperative-contextual-bandits-2011.06738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-free-individual-fairness-with-cooperative-contextual-bandits-2011.06738"/></url>
<url><loc>https://scifaro.com/en/abs/rebounding-bandits-for-modeling-satiation-effects-2011.06741</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rebounding-bandits-for-modeling-satiation-effects-2011.06741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rebounding-bandits-for-modeling-satiation-effects-2011.06741"/></url>
<url><loc>https://scifaro.com/en/abs/encoded-value-at-risk-a-predictive-machine-for-financial-risk-management-2011.06742</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encoded-value-at-risk-a-predictive-machine-for-financial-risk-management-2011.06742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encoded-value-at-risk-a-predictive-machine-for-financial-risk-management-2011.06742"/></url>
<url><loc>https://scifaro.com/en/abs/critic-pi2-master-continuous-planning-via-policy-improvement-with-path-integrals-and-deep-actor-critic-reinforcement-learning-2011.06752</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/critic-pi2-master-continuous-planning-via-policy-improvement-with-path-integrals-and-deep-actor-critic-reinforcement-learning-2011.06752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/critic-pi2-master-continuous-planning-via-policy-improvement-with-path-integrals-and-deep-actor-critic-reinforcement-learning-2011.06752"/></url>
<url><loc>https://scifaro.com/en/abs/toward-the-fully-physics-informed-echo-state-network-an-ode-approximator-based-on-recurrent-artificial-neurons-2011.06769</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-the-fully-physics-informed-echo-state-network-an-ode-approximator-based-on-recurrent-artificial-neurons-2011.06769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-the-fully-physics-informed-echo-state-network-an-ode-approximator-based-on-recurrent-artificial-neurons-2011.06769"/></url>
<url><loc>https://scifaro.com/en/abs/roll-visual-self-supervised-reinforcement-learning-with-object-reasoning-2011.06777</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/roll-visual-self-supervised-reinforcement-learning-with-object-reasoning-2011.06777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/roll-visual-self-supervised-reinforcement-learning-with-object-reasoning-2011.06777"/></url>
<url><loc>https://scifaro.com/en/abs/a-nested-bi-level-optimization-framework-for-robust-few-shot-learning-2011.06782</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nested-bi-level-optimization-framework-for-robust-few-shot-learning-2011.06782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nested-bi-level-optimization-framework-for-robust-few-shot-learning-2011.06782"/></url>
<url><loc>https://scifaro.com/en/abs/wisdom-of-the-ensemble-improving-consistency-of-deep-learning-models-2011.06796</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wisdom-of-the-ensemble-improving-consistency-of-deep-learning-models-2011.06796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wisdom-of-the-ensemble-improving-consistency-of-deep-learning-models-2011.06796"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-system-without-model-sharing-through-integration-of-dimensional-reduced-data-representations-2011.06803</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-system-without-model-sharing-through-integration-of-dimensional-reduced-data-representations-2011.06803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-system-without-model-sharing-through-integration-of-dimensional-reduced-data-representations-2011.06803"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-learning-from-noisy-crowd-to-supervised-machine-learning-models-2011.06833</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-learning-from-noisy-crowd-to-supervised-machine-learning-models-2011.06833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-learning-from-noisy-crowd-to-supervised-machine-learning-models-2011.06833"/></url>
<url><loc>https://scifaro.com/en/abs/a-homotopy-coordinate-descent-optimization-method-for-l-0-norm-regularized-least-square-problem-2011.06841</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-homotopy-coordinate-descent-optimization-method-for-l-0-norm-regularized-least-square-problem-2011.06841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-homotopy-coordinate-descent-optimization-method-for-l-0-norm-regularized-least-square-problem-2011.06841"/></url>
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<url><loc>https://scifaro.com/en/abs/population-synthesis-for-urban-resident-modeling-using-deep-generative-models-2011.06851</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/population-synthesis-for-urban-resident-modeling-using-deep-generative-models-2011.06851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/population-synthesis-for-urban-resident-modeling-using-deep-generative-models-2011.06851"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-federated-and-centralized-learning-2011.06892</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-federated-and-centralized-learning-2011.06892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-federated-and-centralized-learning-2011.06892"/></url>
<url><loc>https://scifaro.com/en/abs/lean-graph-based-pruning-for-convolutional-neural-networks-by-extracting-longest-chains-2011.06923</loc><lastmod>2022-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lean-graph-based-pruning-for-convolutional-neural-networks-by-extracting-longest-chains-2011.06923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lean-graph-based-pruning-for-convolutional-neural-networks-by-extracting-longest-chains-2011.06923"/></url>
<url><loc>https://scifaro.com/en/abs/non-stationary-online-regression-2011.06957</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-stationary-online-regression-2011.06957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-stationary-online-regression-2011.06957"/></url>
<url><loc>https://scifaro.com/en/abs/salad-self-assessment-learning-for-action-detection-2011.06958</loc><lastmod>2020-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/salad-self-assessment-learning-for-action-detection-2011.06958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/salad-self-assessment-learning-for-action-detection-2011.06958"/></url>
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<url><loc>https://scifaro.com/en/abs/determinantal-point-processes-implicitly-regularize-semi-parametric-regression-problems-2011.06964</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/determinantal-point-processes-implicitly-regularize-semi-parametric-regression-problems-2011.06964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/determinantal-point-processes-implicitly-regularize-semi-parametric-regression-problems-2011.06964"/></url>
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<url><loc>https://scifaro.com/en/abs/synthetic-data-anonymisation-groundhog-day-2011.07018</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthetic-data-anonymisation-groundhog-day-2011.07018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthetic-data-anonymisation-groundhog-day-2011.07018"/></url>
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<url><loc>https://scifaro.com/en/abs/query-based-targeted-action-space-adversarial-policies-on-deep-reinforcement-learning-agents-2011.07114</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/query-based-targeted-action-space-adversarial-policies-on-deep-reinforcement-learning-agents-2011.07114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/query-based-targeted-action-space-adversarial-policies-on-deep-reinforcement-learning-agents-2011.07114"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-transferability-of-vae-embeddings-using-relational-knowledge-with-semi-supervision-2011.07137</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-transferability-of-vae-embeddings-using-relational-knowledge-with-semi-supervision-2011.07137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-transferability-of-vae-embeddings-using-relational-knowledge-with-semi-supervision-2011.07137"/></url>
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<url><loc>https://scifaro.com/en/abs/data-efficient-learning-for-complex-and-real-time-physical-problem-solving-using-augmented-simulation-2011.07193</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-efficient-learning-for-complex-and-real-time-physical-problem-solving-using-augmented-simulation-2011.07193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-efficient-learning-for-complex-and-real-time-physical-problem-solving-using-augmented-simulation-2011.07193"/></url>
<url><loc>https://scifaro.com/en/abs/deep-spatial-learning-with-molecular-vibration-2011.07200</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-spatial-learning-with-molecular-vibration-2011.07200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-spatial-learning-with-molecular-vibration-2011.07200"/></url>
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<url><loc>https://scifaro.com/en/abs/catfedavg-optimising-communication-efficiency-and-classification-accuracy-in-federated-learning-2011.07229</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/catfedavg-optimising-communication-efficiency-and-classification-accuracy-in-federated-learning-2011.07229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/catfedavg-optimising-communication-efficiency-and-classification-accuracy-in-federated-learning-2011.07229"/></url>
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<url><loc>https://scifaro.com/en/abs/shortcomings-of-counterfactual-fairness-and-a-proposed-modification-2011.07312</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shortcomings-of-counterfactual-fairness-and-a-proposed-modification-2011.07312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shortcomings-of-counterfactual-fairness-and-a-proposed-modification-2011.07312"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometric-perspective-on-self-supervised-policy-adaptation-2011.07318</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometric-perspective-on-self-supervised-policy-adaptation-2011.07318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometric-perspective-on-self-supervised-policy-adaptation-2011.07318"/></url>
<url><loc>https://scifaro.com/en/abs/classification-based-on-invisible-features-and-thereby-finding-the-effect-of-tuberculosis-vaccine-on-covid-19-2011.07332</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-based-on-invisible-features-and-thereby-finding-the-effect-of-tuberculosis-vaccine-on-covid-19-2011.07332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-based-on-invisible-features-and-thereby-finding-the-effect-of-tuberculosis-vaccine-on-covid-19-2011.07332"/></url>
<url><loc>https://scifaro.com/en/abs/representing-deep-neural-networks-latent-space-geometries-with-graphs-2011.07343</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representing-deep-neural-networks-latent-space-geometries-with-graphs-2011.07343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representing-deep-neural-networks-latent-space-geometries-with-graphs-2011.07343"/></url>
<url><loc>https://scifaro.com/en/abs/towards-transformation-resilient-provenance-detection-of-digital-media-2011.07355</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-transformation-resilient-provenance-detection-of-digital-media-2011.07355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-transformation-resilient-provenance-detection-of-digital-media-2011.07355"/></url>
<url><loc>https://scifaro.com/en/abs/mobility-map-inference-from-thermal-modeling-of-a-building-2011.07372</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mobility-map-inference-from-thermal-modeling-of-a-building-2011.07372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mobility-map-inference-from-thermal-modeling-of-a-building-2011.07372"/></url>
<url><loc>https://scifaro.com/en/abs/discovery-of-the-hidden-state-in-ionic-models-using-a-domain-specific-recurrent-neural-network-2011.07388</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovery-of-the-hidden-state-in-ionic-models-using-a-domain-specific-recurrent-neural-network-2011.07388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovery-of-the-hidden-state-in-ionic-models-using-a-domain-specific-recurrent-neural-network-2011.07388"/></url>
<url><loc>https://scifaro.com/en/abs/cost-sensitive-machine-learning-classification-for-mass-tuberculosis-verbal-screening-2011.07396</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-sensitive-machine-learning-classification-for-mass-tuberculosis-verbal-screening-2011.07396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-sensitive-machine-learning-classification-for-mass-tuberculosis-verbal-screening-2011.07396"/></url>
<url><loc>https://scifaro.com/en/abs/using-convolutional-variational-autoencoders-to-predict-post-trauma-health-outcomes-from-actigraphy-data-2011.07406</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-convolutional-variational-autoencoders-to-predict-post-trauma-health-outcomes-from-actigraphy-data-2011.07406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-convolutional-variational-autoencoders-to-predict-post-trauma-health-outcomes-from-actigraphy-data-2011.07406"/></url>
<url><loc>https://scifaro.com/en/abs/genni-visualising-the-geometry-of-equivalences-for-neural-network-identifiability-2011.07407</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/genni-visualising-the-geometry-of-equivalences-for-neural-network-identifiability-2011.07407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/genni-visualising-the-geometry-of-equivalences-for-neural-network-identifiability-2011.07407"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-backdoor-attacks-against-federated-learning-2011.07429</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-backdoor-attacks-against-federated-learning-2011.07429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-backdoor-attacks-against-federated-learning-2011.07429"/></url>
<url><loc>https://scifaro.com/en/abs/functorial-manifold-learning-2011.07435</loc><lastmod>2022-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functorial-manifold-learning-2011.07435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functorial-manifold-learning-2011.07435"/></url>
<url><loc>https://scifaro.com/en/abs/coresets-for-robust-training-of-neural-networks-against-noisy-labels-2011.07451</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coresets-for-robust-training-of-neural-networks-against-noisy-labels-2011.07451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coresets-for-robust-training-of-neural-networks-against-noisy-labels-2011.07451"/></url>
<url><loc>https://scifaro.com/en/abs/debiasing-convolutional-neural-networks-via-meta-orthogonalization-2011.07453</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/debiasing-convolutional-neural-networks-via-meta-orthogonalization-2011.07453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/debiasing-convolutional-neural-networks-via-meta-orthogonalization-2011.07453"/></url>
<url><loc>https://scifaro.com/en/abs/molecular-mechanics-driven-graph-neural-network-with-multiplex-graph-for-molecular-structures-2011.07457</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molecular-mechanics-driven-graph-neural-network-with-multiplex-graph-for-molecular-structures-2011.07457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molecular-mechanics-driven-graph-neural-network-with-multiplex-graph-for-molecular-structures-2011.07457"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-label-free-analyte-detection-algorithm-for-time-resolved-spectroscopy-2011.07470</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-label-free-analyte-detection-algorithm-for-time-resolved-spectroscopy-2011.07470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-label-free-analyte-detection-algorithm-for-time-resolved-spectroscopy-2011.07470"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-the-regularization-of-adversarial-robustness-on-neural-networks-2011.07478</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-the-regularization-of-adversarial-robustness-on-neural-networks-2011.07478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-the-regularization-of-adversarial-robustness-on-neural-networks-2011.07478"/></url>
<url><loc>https://scifaro.com/en/abs/fair-fair-adversarial-instance-re-weighting-2011.07495</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-fair-adversarial-instance-re-weighting-2011.07495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-fair-adversarial-instance-re-weighting-2011.07495"/></url>
<url><loc>https://scifaro.com/en/abs/2cp-decentralized-protocols-to-transparently-evaluate-contributivity-in-blockchain-federated-learning-environments-2011.07516</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/2cp-decentralized-protocols-to-transparently-evaluate-contributivity-in-blockchain-federated-learning-environments-2011.07516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/2cp-decentralized-protocols-to-transparently-evaluate-contributivity-in-blockchain-federated-learning-environments-2011.07516"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-the-number-of-clusters-on-d-dimensional-sphere-2011.07530</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-the-number-of-clusters-on-d-dimensional-sphere-2011.07530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-the-number-of-clusters-on-d-dimensional-sphere-2011.07530"/></url>
<url><loc>https://scifaro.com/en/abs/tonic-a-deep-reinforcement-learning-library-for-fast-prototyping-and-benchmarking-2011.07537</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tonic-a-deep-reinforcement-learning-library-for-fast-prototyping-and-benchmarking-2011.07537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tonic-a-deep-reinforcement-learning-library-for-fast-prototyping-and-benchmarking-2011.07537"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-long-term-dependencies-in-noisy-time-series-data-using-deep-learning-2011.07551</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-long-term-dependencies-in-noisy-time-series-data-using-deep-learning-2011.07551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-long-term-dependencies-in-noisy-time-series-data-using-deep-learning-2011.07551"/></url>
<url><loc>https://scifaro.com/en/abs/cdt-cascading-decision-trees-for-explainable-reinforcement-learning-2011.07553</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cdt-cascading-decision-trees-for-explainable-reinforcement-learning-2011.07553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cdt-cascading-decision-trees-for-explainable-reinforcement-learning-2011.07553"/></url>
<url><loc>https://scifaro.com/en/abs/advances-in-the-training-pruning-and-enforcement-of-shape-constraints-of-morphological-neural-networks-using-tropical-algebra-2011.07643</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advances-in-the-training-pruning-and-enforcement-of-shape-constraints-of-morphological-neural-networks-using-tropical-algebra-2011.07643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advances-in-the-training-pruning-and-enforcement-of-shape-constraints-of-morphological-neural-networks-using-tropical-algebra-2011.07643"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-human-strategies-in-simulated-search-and-rescue-task-2011.07656</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-human-strategies-in-simulated-search-and-rescue-task-2011.07656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-human-strategies-in-simulated-search-and-rescue-task-2011.07656"/></url>
<url><loc>https://scifaro.com/en/abs/analog-circuit-design-with-dyna-style-reinforcement-learning-2011.07665</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analog-circuit-design-with-dyna-style-reinforcement-learning-2011.07665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analog-circuit-design-with-dyna-style-reinforcement-learning-2011.07665"/></url>
<url><loc>https://scifaro.com/en/abs/a-large-scale-database-for-graph-representation-learning-2011.07682</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-large-scale-database-for-graph-representation-learning-2011.07682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-large-scale-database-for-graph-representation-learning-2011.07682"/></url>
<url><loc>https://scifaro.com/en/abs/hypergraph-partitioning-using-tensor-eigenvalue-decomposition-2011.07683</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypergraph-partitioning-using-tensor-eigenvalue-decomposition-2011.07683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypergraph-partitioning-using-tensor-eigenvalue-decomposition-2011.07683"/></url>
<url><loc>https://scifaro.com/en/abs/dart-adaptive-accept-reject-for-non-linear-top-k-subset-identification-2011.07687</loc><lastmod>2026-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dart-adaptive-accept-reject-for-non-linear-top-k-subset-identification-2011.07687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dart-adaptive-accept-reject-for-non-linear-top-k-subset-identification-2011.07687"/></url>
<url><loc>https://scifaro.com/en/abs/mode-penalty-generative-adversarial-network-with-adapted-auto-encoder-2011.07706</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mode-penalty-generative-adversarial-network-with-adapted-auto-encoder-2011.07706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mode-penalty-generative-adversarial-network-with-adapted-auto-encoder-2011.07706"/></url>
<url><loc>https://scifaro.com/en/abs/blind-decision-making-reinforcement-learning-with-delayed-observations-2011.07715</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blind-decision-making-reinforcement-learning-with-delayed-observations-2011.07715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blind-decision-making-reinforcement-learning-with-delayed-observations-2011.07715"/></url>
<url><loc>https://scifaro.com/en/abs/tlab-traffic-map-movie-forecasting-based-on-hr-net-2011.07728</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tlab-traffic-map-movie-forecasting-based-on-hr-net-2011.07728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tlab-traffic-map-movie-forecasting-based-on-hr-net-2011.07728"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-insights-into-multiclass-classification-a-high-dimensional-asymptotic-view-2011.07729</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-insights-into-multiclass-classification-a-high-dimensional-asymptotic-view-2011.07729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-insights-into-multiclass-classification-a-high-dimensional-asymptotic-view-2011.07729"/></url>
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<url><loc>https://scifaro.com/en/abs/pc-gain-pseudo-label-conditional-generative-adversarial-imputation-networks-for-incomplete-data-2011.07770</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pc-gain-pseudo-label-conditional-generative-adversarial-imputation-networks-for-incomplete-data-2011.07770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pc-gain-pseudo-label-conditional-generative-adversarial-imputation-networks-for-incomplete-data-2011.07770"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-matching-of-kernel-means-2011.07798</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-matching-of-kernel-means-2011.07798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-matching-of-kernel-means-2011.07798"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-episodic-memory-with-a-soft-constraint-for-continual-learning-2011.07801</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-episodic-memory-with-a-soft-constraint-for-continual-learning-2011.07801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-episodic-memory-with-a-soft-constraint-for-continual-learning-2011.07801"/></url>
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<url><loc>https://scifaro.com/en/abs/combating-the-instability-of-mutual-information-based-losses-via-regularization-2011.07932</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combating-the-instability-of-mutual-information-based-losses-via-regularization-2011.07932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combating-the-instability-of-mutual-information-based-losses-via-regularization-2011.07932"/></url>
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<url><loc>https://scifaro.com/en/abs/the-unreasonable-effectiveness-of-batch-norm-statistics-in-addressing-catastrophic-forgetting-across-medical-institutions-2011.08096</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-unreasonable-effectiveness-of-batch-norm-statistics-in-addressing-catastrophic-forgetting-across-medical-institutions-2011.08096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-unreasonable-effectiveness-of-batch-norm-statistics-in-addressing-catastrophic-forgetting-across-medical-institutions-2011.08096"/></url>
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<url><loc>https://scifaro.com/en/abs/on-the-marginal-benefit-of-active-learning-does-self-supervision-eat-its-cake-2011.08121</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-marginal-benefit-of-active-learning-does-self-supervision-eat-its-cake-2011.08121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-marginal-benefit-of-active-learning-does-self-supervision-eat-its-cake-2011.08121"/></url>
<url><loc>https://scifaro.com/en/abs/the-influence-of-domain-based-preprocessing-on-subject-specific-clustering-2011.08127</loc><lastmod>2020-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-influence-of-domain-based-preprocessing-on-subject-specific-clustering-2011.08127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-influence-of-domain-based-preprocessing-on-subject-specific-clustering-2011.08127"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-selection-of-clustering-algorithms-using-supervised-graph-embedding-2011.08225</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-selection-of-clustering-algorithms-using-supervised-graph-embedding-2011.08225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-selection-of-clustering-algorithms-using-supervised-graph-embedding-2011.08225"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-cardiovascular-disease-risk-mitigation-via-longitudinal-inverse-classification-2011.08254</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-cardiovascular-disease-risk-mitigation-via-longitudinal-inverse-classification-2011.08254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-cardiovascular-disease-risk-mitigation-via-longitudinal-inverse-classification-2011.08254"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-kernelized-granger-causality-to-infer-topology-of-directed-graphs-with-applications-to-brain-networks-2011.08261</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-kernelized-granger-causality-to-infer-topology-of-directed-graphs-with-applications-to-brain-networks-2011.08261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-kernelized-granger-causality-to-infer-topology-of-directed-graphs-with-applications-to-brain-networks-2011.08261"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-and-soil-humidity-sensing-signal-strength-approach-2011.08273</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-and-soil-humidity-sensing-signal-strength-approach-2011.08273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-and-soil-humidity-sensing-signal-strength-approach-2011.08273"/></url>
<url><loc>https://scifaro.com/en/abs/avoiding-communication-in-logistic-regression-2011.08281</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avoiding-communication-in-logistic-regression-2011.08281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avoiding-communication-in-logistic-regression-2011.08281"/></url>
<url><loc>https://scifaro.com/en/abs/foundations-of-bayesian-learning-from-synthetic-data-2011.08299</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/foundations-of-bayesian-learning-from-synthetic-data-2011.08299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/foundations-of-bayesian-learning-from-synthetic-data-2011.08299"/></url>
<url><loc>https://scifaro.com/en/abs/anonymizing-sensor-data-on-the-edge-a-representation-learning-and-transformation-approach-2011.08315</loc><lastmod>2022-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anonymizing-sensor-data-on-the-edge-a-representation-learning-and-transformation-approach-2011.08315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anonymizing-sensor-data-on-the-edge-a-representation-learning-and-transformation-approach-2011.08315"/></url>
<url><loc>https://scifaro.com/en/abs/robust-deep-learning-with-active-noise-cancellation-for-spatial-computing-2011.08341</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-deep-learning-with-active-noise-cancellation-for-spatial-computing-2011.08341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-deep-learning-with-active-noise-cancellation-for-spatial-computing-2011.08341"/></url>
<url><loc>https://scifaro.com/en/abs/distilling-a-hierarchical-policy-for-planning-and-control-via-representation-and-reinforcement-learning-2011.08345</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilling-a-hierarchical-policy-for-planning-and-control-via-representation-and-reinforcement-learning-2011.08345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilling-a-hierarchical-policy-for-planning-and-control-via-representation-and-reinforcement-learning-2011.08345"/></url>
<url><loc>https://scifaro.com/en/abs/phenotyping-clusters-of-patient-trajectories-suffering-from-chronic-complex-disease-2011.08356</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phenotyping-clusters-of-patient-trajectories-suffering-from-chronic-complex-disease-2011.08356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phenotyping-clusters-of-patient-trajectories-suffering-from-chronic-complex-disease-2011.08356"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-fairness-an-interpretable-model-augmenting-decision-makers-fairness-2011.08398</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-fairness-an-interpretable-model-augmenting-decision-makers-fairness-2011.08398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-fairness-an-interpretable-model-augmenting-decision-makers-fairness-2011.08398"/></url>
<url><loc>https://scifaro.com/en/abs/sub-clusters-of-normal-data-for-anomaly-detection-2011.08408</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sub-clusters-of-normal-data-for-anomaly-detection-2011.08408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sub-clusters-of-normal-data-for-anomaly-detection-2011.08408"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-stochastic-computation-offloading-in-digital-twin-networks-2011.08430</loc><lastmod>2020-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-stochastic-computation-offloading-in-digital-twin-networks-2011.08430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-stochastic-computation-offloading-in-digital-twin-networks-2011.08430"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-the-sample-complexity-of-sparse-spectrum-approximation-of-gaussian-processes-2011.08432</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-the-sample-complexity-of-sparse-spectrum-approximation-of-gaussian-processes-2011.08432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-the-sample-complexity-of-sparse-spectrum-approximation-of-gaussian-processes-2011.08432"/></url>
<url><loc>https://scifaro.com/en/abs/adco-adversarial-contrast-for-efficient-learning-of-unsupervised-representations-from-self-trained-negative-adversaries-2011.08435</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adco-adversarial-contrast-for-efficient-learning-of-unsupervised-representations-from-self-trained-negative-adversaries-2011.08435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adco-adversarial-contrast-for-efficient-learning-of-unsupervised-representations-from-self-trained-negative-adversaries-2011.08435"/></url>
<url><loc>https://scifaro.com/en/abs/edge-intelligence-for-energy-efficient-computation-offloading-and-resource-allocation-in-5g-beyond-2011.08442</loc><lastmod>2020-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edge-intelligence-for-energy-efficient-computation-offloading-and-resource-allocation-in-5g-beyond-2011.08442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edge-intelligence-for-energy-efficient-computation-offloading-and-resource-allocation-in-5g-beyond-2011.08442"/></url>
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<url><loc>https://scifaro.com/en/abs/meta-automatic-curriculum-learning-2011.08463</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-automatic-curriculum-learning-2011.08463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-automatic-curriculum-learning-2011.08463"/></url>
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<url><loc>https://scifaro.com/en/abs/federated-composite-optimization-2011.08474</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-composite-optimization-2011.08474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-composite-optimization-2011.08474"/></url>
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<url><loc>https://scifaro.com/en/abs/a-time-frequency-based-suspicious-activity-detection-for-anti-money-laundering-2011.08492</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-time-frequency-based-suspicious-activity-detection-for-anti-money-laundering-2011.08492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-time-frequency-based-suspicious-activity-detection-for-anti-money-laundering-2011.08492"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-exploration-of-reward-functions-in-inverse-reinforcement-learning-via-bayesian-optimization-2011.08541</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-exploration-of-reward-functions-in-inverse-reinforcement-learning-via-bayesian-optimization-2011.08541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-exploration-of-reward-functions-in-inverse-reinforcement-learning-via-bayesian-optimization-2011.08541"/></url>
<url><loc>https://scifaro.com/en/abs/structural-and-functional-decomposition-for-personality-image-captioning-in-a-communication-game-2011.08543</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-and-functional-decomposition-for-personality-image-captioning-in-a-communication-game-2011.08543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-and-functional-decomposition-for-personality-image-captioning-in-a-communication-game-2011.08543"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-inference-for-variational-autoencoders-2011.08544</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-inference-for-variational-autoencoders-2011.08544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-inference-for-variational-autoencoders-2011.08544"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-hard-pruning-of-neural-networks-at-the-edge-of-the-internet-2011.08545</loc><lastmod>2022-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-hard-pruning-of-neural-networks-at-the-edge-of-the-internet-2011.08545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-hard-pruning-of-neural-networks-at-the-edge-of-the-internet-2011.08545"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-transferability-of-adversarial-attacksagainst-neural-text-classifier-2011.08558</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-transferability-of-adversarial-attacksagainst-neural-text-classifier-2011.08558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-transferability-of-adversarial-attacksagainst-neural-text-classifier-2011.08558"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-neural-network-for-ssvep-based-brain-computer-interfaces-2011.08562</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-neural-network-for-ssvep-based-brain-computer-interfaces-2011.08562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-neural-network-for-ssvep-based-brain-computer-interfaces-2011.08562"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-state-functions-by-physically-guided-neural-networks-with-physically-meaningful-internal-layers-2011.08567</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-state-functions-by-physically-guided-neural-networks-with-physically-meaningful-internal-layers-2011.08567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-state-functions-by-physically-guided-neural-networks-with-physically-meaningful-internal-layers-2011.08567"/></url>
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<url><loc>https://scifaro.com/en/abs/ds-ui-dual-supervised-mixture-of-gaussian-mixture-models-for-uncertainty-inference-2011.08595</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ds-ui-dual-supervised-mixture-of-gaussian-mixture-models-for-uncertainty-inference-2011.08595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ds-ui-dual-supervised-mixture-of-gaussian-mixture-models-for-uncertainty-inference-2011.08595"/></url>
<url><loc>https://scifaro.com/en/abs/learning-outside-the-black-box-the-pursuit-of-interpretable-models-2011.08596</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-outside-the-black-box-the-pursuit-of-interpretable-models-2011.08596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-outside-the-black-box-the-pursuit-of-interpretable-models-2011.08596"/></url>
<url><loc>https://scifaro.com/en/abs/theory-guided-auto-encoder-for-surrogate-construction-and-inverse-modeling-2011.08618</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-guided-auto-encoder-for-surrogate-construction-and-inverse-modeling-2011.08618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-guided-auto-encoder-for-surrogate-construction-and-inverse-modeling-2011.08618"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-the-variance-of-return-sequences-for-exploration-policy-2011.08649</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-the-variance-of-return-sequences-for-exploration-policy-2011.08649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-the-variance-of-return-sequences-for-exploration-policy-2011.08649"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-the-variance-of-variational-estimates-of-mutual-information-by-limiting-the-critic-s-hypothesis-space-to-rkhs-2011.08651</loc><lastmod>2020-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-the-variance-of-variational-estimates-of-mutual-information-by-limiting-the-critic-s-hypothesis-space-to-rkhs-2011.08651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-the-variance-of-variational-estimates-of-mutual-information-by-limiting-the-critic-s-hypothesis-space-to-rkhs-2011.08651"/></url>
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<url><loc>https://scifaro.com/en/abs/beyond-pinball-loss-quantile-methods-for-calibrated-uncertainty-quantification-2011.09588</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-pinball-loss-quantile-methods-for-calibrated-uncertainty-quantification-2011.09588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-pinball-loss-quantile-methods-for-calibrated-uncertainty-quantification-2011.09588"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-to-missing-features-using-hierarchical-clustering-with-split-neural-networks-2011.09596</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-to-missing-features-using-hierarchical-clustering-with-split-neural-networks-2011.09596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-to-missing-features-using-hierarchical-clustering-with-split-neural-networks-2011.09596"/></url>
<url><loc>https://scifaro.com/en/abs/node-similarity-preserving-graph-convolutional-networks-2011.09643</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-similarity-preserving-graph-convolutional-networks-2011.09643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-similarity-preserving-graph-convolutional-networks-2011.09643"/></url>
<url><loc>https://scifaro.com/en/abs/finding-the-homology-of-decision-boundaries-with-active-learning-2011.09645</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-the-homology-of-decision-boundaries-with-active-learning-2011.09645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-the-homology-of-decision-boundaries-with-active-learning-2011.09645"/></url>
<url><loc>https://scifaro.com/en/abs/fedeval-a-holistic-evaluation-framework-for-federated-learning-2011.09655</loc><lastmod>2022-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedeval-a-holistic-evaluation-framework-for-federated-learning-2011.09655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedeval-a-holistic-evaluation-framework-for-federated-learning-2011.09655"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-graph-neural-networks-for-heterogeneous-graphs-2011.09679</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-graph-neural-networks-for-heterogeneous-graphs-2011.09679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-graph-neural-networks-for-heterogeneous-graphs-2011.09679"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-learning-of-determinantal-point-processes-2011.09712</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-learning-of-determinantal-point-processes-2011.09712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-learning-of-determinantal-point-processes-2011.09712"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-for-k-nearest-neighbor-classifiers-based-on-higher-order-voronoi-diagrams-2011.09719</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-for-k-nearest-neighbor-classifiers-based-on-higher-order-voronoi-diagrams-2011.09719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-for-k-nearest-neighbor-classifiers-based-on-higher-order-voronoi-diagrams-2011.09719"/></url>
<url><loc>https://scifaro.com/en/abs/socaire-forecasting-and-monitoring-urban-air-quality-in-madrid-2011.09741</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/socaire-forecasting-and-monitoring-urban-air-quality-in-madrid-2011.09741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/socaire-forecasting-and-monitoring-urban-air-quality-in-madrid-2011.09741"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-dilated-variational-autoencoder-with-bottleneck-discriminative-loss-for-sound-morphing-a-preliminary-study-2011.09744</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-dilated-variational-autoencoder-with-bottleneck-discriminative-loss-for-sound-morphing-a-preliminary-study-2011.09744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-dilated-variational-autoencoder-with-bottleneck-discriminative-loss-for-sound-morphing-a-preliminary-study-2011.09744"/></url>
<url><loc>https://scifaro.com/en/abs/energy-aware-deep-reinforcement-learning-scheduling-for-sensors-correlated-in-time-and-space-2011.09747</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-aware-deep-reinforcement-learning-scheduling-for-sensors-correlated-in-time-and-space-2011.09747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-aware-deep-reinforcement-learning-scheduling-for-sensors-correlated-in-time-and-space-2011.09747"/></url>
<url><loc>https://scifaro.com/en/abs/online-model-selection-for-reinforcement-learning-with-function-approximation-2011.09750</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-model-selection-for-reinforcement-learning-with-function-approximation-2011.09750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-model-selection-for-reinforcement-learning-with-function-approximation-2011.09750"/></url>
<url><loc>https://scifaro.com/en/abs/kd3a-unsupervised-multi-source-decentralized-domain-adaptation-via-knowledge-distillation-2011.09757</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kd3a-unsupervised-multi-source-decentralized-domain-adaptation-via-knowledge-distillation-2011.09757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kd3a-unsupervised-multi-source-decentralized-domain-adaptation-via-knowledge-distillation-2011.09757"/></url>
<url><loc>https://scifaro.com/en/abs/a-temporal-convolution-network-approach-to-state-of-charge-estimation-in-li-ion-batteries-2011.09775</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-temporal-convolution-network-approach-to-state-of-charge-estimation-in-li-ion-batteries-2011.09775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-temporal-convolution-network-approach-to-state-of-charge-estimation-in-li-ion-batteries-2011.09775"/></url>
<url><loc>https://scifaro.com/en/abs/an-experimental-study-of-semantic-continuity-for-deep-learning-models-2011.09789</loc><lastmod>2024-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-experimental-study-of-semantic-continuity-for-deep-learning-models-2011.09789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-experimental-study-of-semantic-continuity-for-deep-learning-models-2011.09789"/></url>
<url><loc>https://scifaro.com/en/abs/effective-efficient-and-robust-neural-architecture-search-2011.09820</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-efficient-and-robust-neural-architecture-search-2011.09820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-efficient-and-robust-neural-architecture-search-2011.09820"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-adversarial-attack-2011.09824</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-adversarial-attack-2011.09824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-adversarial-attack-2011.09824"/></url>
<url><loc>https://scifaro.com/en/abs/modular-multi-target-tracking-using-lstm-networks-2011.09839</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modular-multi-target-tracking-using-lstm-networks-2011.09839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modular-multi-target-tracking-using-lstm-networks-2011.09839"/></url>
<url><loc>https://scifaro.com/en/abs/budgeted-online-selection-of-candidate-iot-clients-to-participate-in-federated-learning-2011.09849</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/budgeted-online-selection-of-candidate-iot-clients-to-participate-in-federated-learning-2011.09849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/budgeted-online-selection-of-candidate-iot-clients-to-participate-in-federated-learning-2011.09849"/></url>
<url><loc>https://scifaro.com/en/abs/irregularly-tabulated-mlp-for-fast-point-feature-embedding-2011.09852</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/irregularly-tabulated-mlp-for-fast-point-feature-embedding-2011.09852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/irregularly-tabulated-mlp-for-fast-point-feature-embedding-2011.09852"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-approach-to-predict-hamburg-rutting-curve-2011.09853</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-predict-hamburg-rutting-curve-2011.09853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-predict-hamburg-rutting-curve-2011.09853"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-inverse-planning-learning-lifted-non-markovian-utility-for-generalizable-task-representation-2011.09854</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-inverse-planning-learning-lifted-non-markovian-utility-for-generalizable-task-representation-2011.09854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-inverse-planning-learning-lifted-non-markovian-utility-for-generalizable-task-representation-2011.09854"/></url>
<url><loc>https://scifaro.com/en/abs/on-tuning-deep-learning-models-a-data-mining-perspective-2011.09857</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-tuning-deep-learning-models-a-data-mining-perspective-2011.09857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-tuning-deep-learning-models-a-data-mining-perspective-2011.09857"/></url>
<url><loc>https://scifaro.com/en/abs/deeprepair-style-guided-repairing-for-dnns-in-the-real-world-operational-environment-2011.09884</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeprepair-style-guided-repairing-for-dnns-in-the-real-world-operational-environment-2011.09884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeprepair-style-guided-repairing-for-dnns-in-the-real-world-operational-environment-2011.09884"/></url>
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<url><loc>https://scifaro.com/en/abs/data-representing-ground-truth-explanations-to-evaluate-xai-methods-2011.09892</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-representing-ground-truth-explanations-to-evaluate-xai-methods-2011.09892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-representing-ground-truth-explanations-to-evaluate-xai-methods-2011.09892"/></url>
<url><loc>https://scifaro.com/en/abs/mixmix-all-you-need-for-data-free-compression-are-feature-and-data-mixing-2011.09899</loc><lastmod>2022-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixmix-all-you-need-for-data-free-compression-are-feature-and-data-mixing-2011.09899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixmix-all-you-need-for-data-free-compression-are-feature-and-data-mixing-2011.09899"/></url>
<url><loc>https://scifaro.com/en/abs/mg-gcn-fast-and-effective-learning-with-mix-grained-aggregators-for-training-large-graph-convolutional-networks-2011.09900</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mg-gcn-fast-and-effective-learning-with-mix-grained-aggregators-for-training-large-graph-convolutional-networks-2011.09900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mg-gcn-fast-and-effective-learning-with-mix-grained-aggregators-for-training-large-graph-convolutional-networks-2011.09900"/></url>
<url><loc>https://scifaro.com/en/abs/low-latency-federated-learning-and-blockchain-for-edge-association-in-digital-twin-empowered-6g-networks-2011.09902</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-latency-federated-learning-and-blockchain-for-edge-association-in-digital-twin-empowered-6g-networks-2011.09902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-latency-federated-learning-and-blockchain-for-edge-association-in-digital-twin-empowered-6g-networks-2011.09902"/></url>
<url><loc>https://scifaro.com/en/abs/impact-of-accuracy-on-model-interpretations-2011.09903</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impact-of-accuracy-on-model-interpretations-2011.09903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impact-of-accuracy-on-model-interpretations-2011.09903"/></url>
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<url><loc>https://scifaro.com/en/abs/towards-learning-controllable-representations-of-physical-systems-2011.09906</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-learning-controllable-representations-of-physical-systems-2011.09906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-learning-controllable-representations-of-physical-systems-2011.09906"/></url>
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<url><loc>https://scifaro.com/en/abs/challenges-in-deploying-machine-learning-a-survey-of-case-studies-2011.09926</loc><lastmod>2022-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-in-deploying-machine-learning-a-survey-of-case-studies-2011.09926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-in-deploying-machine-learning-a-survey-of-case-studies-2011.09926"/></url>
<url><loc>https://scifaro.com/en/abs/using-text-to-teach-image-retrieval-2011.09928</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-text-to-teach-image-retrieval-2011.09928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-text-to-teach-image-retrieval-2011.09928"/></url>
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<url><loc>https://scifaro.com/en/abs/improved-rates-for-prediction-and-identification-of-partially-observed-linear-dynamical-systems-2011.10006</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-rates-for-prediction-and-identification-of-partially-observed-linear-dynamical-systems-2011.10006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-rates-for-prediction-and-identification-of-partially-observed-linear-dynamical-systems-2011.10006"/></url>
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<url><loc>https://scifaro.com/en/abs/parrot-data-driven-behavioral-priors-for-reinforcement-learning-2011.10024</loc><lastmod>2020-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parrot-data-driven-behavioral-priors-for-reinforcement-learning-2011.10024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parrot-data-driven-behavioral-priors-for-reinforcement-learning-2011.10024"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-dynamics-of-training-attention-models-2011.10036</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-dynamics-of-training-attention-models-2011.10036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-dynamics-of-training-attention-models-2011.10036"/></url>
<url><loc>https://scifaro.com/en/abs/the-fundamental-principles-of-reproducibility-2011.10098</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-fundamental-principles-of-reproducibility-2011.10098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-fundamental-principles-of-reproducibility-2011.10098"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-consensus-model-based-on-proximal-gradient-method-applied-to-convolutional-sparse-problems-2011.10100</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-consensus-model-based-on-proximal-gradient-method-applied-to-convolutional-sparse-problems-2011.10100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-consensus-model-based-on-proximal-gradient-method-applied-to-convolutional-sparse-problems-2011.10100"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-using-a-single-neuron-folded-in-time-architecture-using-feedback-modulated-delay-loops-2011.10115</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-using-a-single-neuron-folded-in-time-architecture-using-feedback-modulated-delay-loops-2011.10115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-using-a-single-neuron-folded-in-time-architecture-using-feedback-modulated-delay-loops-2011.10115"/></url>
<url><loc>https://scifaro.com/en/abs/provable-multi-objective-reinforcement-learning-with-generative-models-2011.10134</loc><lastmod>2021-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-multi-objective-reinforcement-learning-with-generative-models-2011.10134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-multi-objective-reinforcement-learning-with-generative-models-2011.10134"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-and-transferable-models-to-understand-the-impact-of-lockdown-measures-on-local-air-quality-2011.10144</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-and-transferable-models-to-understand-the-impact-of-lockdown-measures-on-local-air-quality-2011.10144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-and-transferable-models-to-understand-the-impact-of-lockdown-measures-on-local-air-quality-2011.10144"/></url>
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<url><loc>https://scifaro.com/en/abs/certified-monotonic-neural-networks-2011.10219</loc><lastmod>2022-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certified-monotonic-neural-networks-2011.10219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certified-monotonic-neural-networks-2011.10219"/></url>
<url><loc>https://scifaro.com/en/abs/complexity-controlled-generative-adversarial-networks-2011.10223</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complexity-controlled-generative-adversarial-networks-2011.10223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complexity-controlled-generative-adversarial-networks-2011.10223"/></url>
<url><loc>https://scifaro.com/en/abs/a-global-universality-of-two-layer-neural-networks-with-relu-activations-2011.10225</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-global-universality-of-two-layer-neural-networks-with-relu-activations-2011.10225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-global-universality-of-two-layer-neural-networks-with-relu-activations-2011.10225"/></url>
<url><loc>https://scifaro.com/en/abs/stressnet-deep-learning-to-predict-stress-with-fracture-propagation-in-brittle-materials-2011.10227</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stressnet-deep-learning-to-predict-stress-with-fracture-propagation-in-brittle-materials-2011.10227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stressnet-deep-learning-to-predict-stress-with-fracture-propagation-in-brittle-materials-2011.10227"/></url>
<url><loc>https://scifaro.com/en/abs/gan-based-ball-screw-drive-picture-database-enlargement-for-failure-classification-2011.10235</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gan-based-ball-screw-drive-picture-database-enlargement-for-failure-classification-2011.10235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gan-based-ball-screw-drive-picture-database-enlargement-for-failure-classification-2011.10235"/></url>
<url><loc>https://scifaro.com/en/abs/unbalanced-incomplete-multi-view-clustering-via-the-scheme-of-view-evolution-weak-views-are-meat-strong-views-do-eat-2011.10254</loc><lastmod>2026-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbalanced-incomplete-multi-view-clustering-via-the-scheme-of-view-evolution-weak-views-are-meat-strong-views-do-eat-2011.10254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbalanced-incomplete-multi-view-clustering-via-the-scheme-of-view-evolution-weak-views-are-meat-strong-views-do-eat-2011.10254"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-analysis-of-homotopy-sgd-for-non-convex-optimization-2011.10298</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-analysis-of-homotopy-sgd-for-non-convex-optimization-2011.10298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-analysis-of-homotopy-sgd-for-non-convex-optimization-2011.10298"/></url>
<url><loc>https://scifaro.com/en/abs/policy-gradient-methods-for-the-noisy-linear-quadratic-regulator-over-a-finite-horizon-2011.10300</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-gradient-methods-for-the-noisy-linear-quadratic-regulator-over-a-finite-horizon-2011.10300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-gradient-methods-for-the-noisy-linear-quadratic-regulator-over-a-finite-horizon-2011.10300"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-data-dependent-learnability-2011.10334</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-data-dependent-learnability-2011.10334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-data-dependent-learnability-2011.10334"/></url>
<url><loc>https://scifaro.com/en/abs/finding-prerequisite-relations-between-concepts-using-textbook-2011.10337</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-prerequisite-relations-between-concepts-using-textbook-2011.10337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-prerequisite-relations-between-concepts-using-textbook-2011.10337"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-feedback-control-in-a-collective-flashing-ratchet-2011.10357</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-feedback-control-in-a-collective-flashing-ratchet-2011.10357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-feedback-control-in-a-collective-flashing-ratchet-2011.10357"/></url>
<url><loc>https://scifaro.com/en/abs/psd2-explainable-ai-model-for-credit-scoring-2011.10367</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/psd2-explainable-ai-model-for-credit-scoring-2011.10367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/psd2-explainable-ai-model-for-credit-scoring-2011.10367"/></url>
<url><loc>https://scifaro.com/en/abs/double-self-weighted-multi-view-clustering-via-adaptive-view-fusion-2011.10396</loc><lastmod>2026-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-self-weighted-multi-view-clustering-via-adaptive-view-fusion-2011.10396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-self-weighted-multi-view-clustering-via-adaptive-view-fusion-2011.10396"/></url>
<url><loc>https://scifaro.com/en/abs/cost-effective-variational-active-entity-resolution-2011.10406</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-effective-variational-active-entity-resolution-2011.10406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-effective-variational-active-entity-resolution-2011.10406"/></url>
<url><loc>https://scifaro.com/en/abs/low-dimensional-manifolds-support-multiplexed-integrations-in-recurrent-neural-networks-2011.10435</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-dimensional-manifolds-support-multiplexed-integrations-in-recurrent-neural-networks-2011.10435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-dimensional-manifolds-support-multiplexed-integrations-in-recurrent-neural-networks-2011.10435"/></url>
<url><loc>https://scifaro.com/en/abs/a-reputation-mechanism-is-all-you-need-collaborative-fairness-and-adversarial-robustness-in-federated-learning-2011.10464</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reputation-mechanism-is-all-you-need-collaborative-fairness-and-adversarial-robustness-in-federated-learning-2011.10464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reputation-mechanism-is-all-you-need-collaborative-fairness-and-adversarial-robustness-in-federated-learning-2011.10464"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-evaluation-of-deep-learning-model-compression-techniques-on-the-wavenet-vocoder-2011.10469</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-evaluation-of-deep-learning-model-compression-techniques-on-the-wavenet-vocoder-2011.10469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-evaluation-of-deep-learning-model-compression-techniques-on-the-wavenet-vocoder-2011.10469"/></url>
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<url><loc>https://scifaro.com/en/abs/graph-signal-recovery-using-restricted-boltzmann-machines-2011.10549</loc><lastmod>2020-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-signal-recovery-using-restricted-boltzmann-machines-2011.10549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-signal-recovery-using-restricted-boltzmann-machines-2011.10549"/></url>
<url><loc>https://scifaro.com/en/abs/learn-to-bind-and-grow-neural-structures-2011.10568</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-to-bind-and-grow-neural-structures-2011.10568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-to-bind-and-grow-neural-structures-2011.10568"/></url>
<url><loc>https://scifaro.com/en/abs/nested-mixture-of-experts-cooperative-and-competitive-learning-of-hybrid-dynamical-system-2011.10605</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-mixture-of-experts-cooperative-and-competitive-learning-of-hybrid-dynamical-system-2011.10605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-mixture-of-experts-cooperative-and-competitive-learning-of-hybrid-dynamical-system-2011.10605"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-for-em-classification-networks-2011.10615</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-for-em-classification-networks-2011.10615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-for-em-classification-networks-2011.10615"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-physics-based-and-data-driven-modeling-for-learning-dynamical-systems-2011.10616</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-physics-based-and-data-driven-modeling-for-learning-dynamical-systems-2011.10616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-physics-based-and-data-driven-modeling-for-learning-dynamical-systems-2011.10616"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-benefits-of-multiple-gossip-steps-in-communication-constrained-decentralized-optimization-2011.10643</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-benefits-of-multiple-gossip-steps-in-communication-constrained-decentralized-optimization-2011.10643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-benefits-of-multiple-gossip-steps-in-communication-constrained-decentralized-optimization-2011.10643"/></url>
<url><loc>https://scifaro.com/en/abs/very-deep-vaes-generalize-autoregressive-models-and-can-outperform-them-on-images-2011.10650</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/very-deep-vaes-generalize-autoregressive-models-and-can-outperform-them-on-images-2011.10650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/very-deep-vaes-generalize-autoregressive-models-and-can-outperform-them-on-images-2011.10650"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-poaching-predictions-for-under-resourced-wildlife-conservation-parks-using-remote-sensing-imagery-2011.10666</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-poaching-predictions-for-under-resourced-wildlife-conservation-parks-using-remote-sensing-imagery-2011.10666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-poaching-predictions-for-under-resourced-wildlife-conservation-parks-using-remote-sensing-imagery-2011.10666"/></url>
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<url><loc>https://scifaro.com/en/abs/adaptive-risk-mitigation-in-demand-learning-2011.10690</loc><lastmod>2025-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-risk-mitigation-in-demand-learning-2011.10690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-risk-mitigation-in-demand-learning-2011.10690"/></url>
<url><loc>https://scifaro.com/en/abs/neural-group-testing-to-accelerate-deep-learning-2011.10704</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-group-testing-to-accelerate-deep-learning-2011.10704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-group-testing-to-accelerate-deep-learning-2011.10704"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-data-source-selection-for-bayesian-learning-2011.10712</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-data-source-selection-for-bayesian-learning-2011.10712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-data-source-selection-for-bayesian-learning-2011.10712"/></url>
<url><loc>https://scifaro.com/en/abs/double-meta-learning-for-data-efficient-policy-optimization-in-non-stationary-environments-2011.10714</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-meta-learning-for-data-efficient-policy-optimization-in-non-stationary-environments-2011.10714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-meta-learning-for-data-efficient-policy-optimization-in-non-stationary-environments-2011.10714"/></url>
<url><loc>https://scifaro.com/en/abs/a-worrying-analysis-of-probabilistic-time-series-models-for-sales-forecasting-2011.10715</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-worrying-analysis-of-probabilistic-time-series-models-for-sales-forecasting-2011.10715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-worrying-analysis-of-probabilistic-time-series-models-for-sales-forecasting-2011.10715"/></url>
<url><loc>https://scifaro.com/en/abs/neural-ilqr-a-learning-aided-shooting-method-for-trajectory-optimization-2011.10737</loc><lastmod>2022-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-ilqr-a-learning-aided-shooting-method-for-trajectory-optimization-2011.10737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-ilqr-a-learning-aided-shooting-method-for-trajectory-optimization-2011.10737"/></url>
<url><loc>https://scifaro.com/en/abs/a-trace-restricted-kronecker-factored-approximation-to-natural-gradient-2011.10741</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-trace-restricted-kronecker-factored-approximation-to-natural-gradient-2011.10741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-trace-restricted-kronecker-factored-approximation-to-natural-gradient-2011.10741"/></url>
<url><loc>https://scifaro.com/en/abs/computation-harvesting-in-road-traffic-dynamics-2011.10744</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computation-harvesting-in-road-traffic-dynamics-2011.10744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computation-harvesting-in-road-traffic-dynamics-2011.10744"/></url>
<url><loc>https://scifaro.com/en/abs/emergent-road-rules-in-multi-agent-driving-environments-2011.10753</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emergent-road-rules-in-multi-agent-driving-environments-2011.10753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emergent-road-rules-in-multi-agent-driving-environments-2011.10753"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-classification-necessary-conditions-and-geometric-flows-2011.10797</loc><lastmod>2022-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-classification-necessary-conditions-and-geometric-flows-2011.10797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-classification-necessary-conditions-and-geometric-flows-2011.10797"/></url>
<url><loc>https://scifaro.com/en/abs/deep-smartphone-sensors-wifi-fusion-for-indoor-positioning-and-tracking-2011.10799</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-smartphone-sensors-wifi-fusion-for-indoor-positioning-and-tracking-2011.10799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-smartphone-sensors-wifi-fusion-for-indoor-positioning-and-tracking-2011.10799"/></url>
<url><loc>https://scifaro.com/en/abs/policy-teaching-in-reinforcement-learning-via-environment-poisoning-attacks-2011.10824</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-teaching-in-reinforcement-learning-via-environment-poisoning-attacks-2011.10824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-teaching-in-reinforcement-learning-via-environment-poisoning-attacks-2011.10824"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-reinforcement-learning-in-nonlinear-continuous-state-space-problems-2011.10829</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-reinforcement-learning-in-nonlinear-continuous-state-space-problems-2011.10829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-reinforcement-learning-in-nonlinear-continuous-state-space-problems-2011.10829"/></url>
<url><loc>https://scifaro.com/en/abs/a-neuro-inspired-autoencoding-defense-against-adversarial-perturbations-2011.10867</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neuro-inspired-autoencoding-defense-against-adversarial-perturbations-2011.10867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neuro-inspired-autoencoding-defense-against-adversarial-perturbations-2011.10867"/></url>
<url><loc>https://scifaro.com/en/abs/use-of-student-s-t-distribution-for-the-latent-layer-in-a-coupled-variational-autoencoder-2011.10879</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/use-of-student-s-t-distribution-for-the-latent-layer-in-a-coupled-variational-autoencoder-2011.10879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/use-of-student-s-t-distribution-for-the-latent-layer-in-a-coupled-variational-autoencoder-2011.10879"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-reinforcement-learning-for-markov-routing-games-a-new-modeling-paradigm-for-dynamic-traffic-assignment-2011.10915</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-reinforcement-learning-for-markov-routing-games-a-new-modeling-paradigm-for-dynamic-traffic-assignment-2011.10915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-reinforcement-learning-for-markov-routing-games-a-new-modeling-paradigm-for-dynamic-traffic-assignment-2011.10915"/></url>
<url><loc>https://scifaro.com/en/abs/run-away-from-your-teacher-understanding-byol-by-a-novel-self-supervised-approach-2011.10944</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/run-away-from-your-teacher-understanding-byol-by-a-novel-self-supervised-approach-2011.10944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/run-away-from-your-teacher-understanding-byol-by-a-novel-self-supervised-approach-2011.10944"/></url>
<url><loc>https://scifaro.com/en/abs/learning-class-unique-features-in-fine-grained-visual-classification-2011.10951</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-class-unique-features-in-fine-grained-visual-classification-2011.10951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-class-unique-features-in-fine-grained-visual-classification-2011.10951"/></url>
<url><loc>https://scifaro.com/en/abs/a-decentralized-aggregation-mechanism-for-training-deep-learning-models-using-smart-contract-system-for-bank-loan-prediction-2011.10981</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-decentralized-aggregation-mechanism-for-training-deep-learning-models-using-smart-contract-system-for-bank-loan-prediction-2011.10981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-decentralized-aggregation-mechanism-for-training-deep-learning-models-using-smart-contract-system-for-bank-loan-prediction-2011.10981"/></url>
<url><loc>https://scifaro.com/en/abs/stacked-graph-filter-2011.10988</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stacked-graph-filter-2011.10988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stacked-graph-filter-2011.10988"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-maintenance-on-event-logs-application-on-an-atm-fleet-2011.10996</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-maintenance-on-event-logs-application-on-an-atm-fleet-2011.10996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-maintenance-on-event-logs-application-on-an-atm-fleet-2011.10996"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-guided-smt-based-rectification-of-decision-trees-and-random-forests-2011.11001</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-guided-smt-based-rectification-of-decision-trees-and-random-forests-2011.11001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-guided-smt-based-rectification-of-decision-trees-and-random-forests-2011.11001"/></url>
<url><loc>https://scifaro.com/en/abs/ast-gcn-attribute-augmented-spatiotemporal-graph-convolutional-network-for-traffic-forecasting-2011.11004</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ast-gcn-attribute-augmented-spatiotemporal-graph-convolutional-network-for-traffic-forecasting-2011.11004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ast-gcn-attribute-augmented-spatiotemporal-graph-convolutional-network-for-traffic-forecasting-2011.11004"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-deep-reinforcement-learning-an-overview-2011.11012</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-deep-reinforcement-learning-an-overview-2011.11012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-deep-reinforcement-learning-an-overview-2011.11012"/></url>
<url><loc>https://scifaro.com/en/abs/angular-embedding-a-new-angular-robust-principal-component-analysis-2011.11013</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/angular-embedding-a-new-angular-robust-principal-component-analysis-2011.11013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/angular-embedding-a-new-angular-robust-principal-component-analysis-2011.11013"/></url>
<url><loc>https://scifaro.com/en/abs/robust-gaussian-process-regression-based-on-iterative-trimming-2011.11057</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-gaussian-process-regression-based-on-iterative-trimming-2011.11057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-gaussian-process-regression-based-on-iterative-trimming-2011.11057"/></url>
<url><loc>https://scifaro.com/en/abs/a-population-based-hybrid-approach-to-hyperparameter-optimization-for-neural-networks-2011.11062</loc><lastmod>2023-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-population-based-hybrid-approach-to-hyperparameter-optimization-for-neural-networks-2011.11062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-population-based-hybrid-approach-to-hyperparameter-optimization-for-neural-networks-2011.11062"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-deep-generative-model-like-a-program-the-free-category-prior-2011.11063</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-deep-generative-model-like-a-program-the-free-category-prior-2011.11063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-deep-generative-model-like-a-program-the-free-category-prior-2011.11063"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-wise-ell-0-constrained-sparse-nonnegative-least-squares-2011.11066</loc><lastmod>2023-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-wise-ell-0-constrained-sparse-nonnegative-least-squares-2011.11066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-wise-ell-0-constrained-sparse-nonnegative-least-squares-2011.11066"/></url>
<url><loc>https://scifaro.com/en/abs/uncorrelated-semi-paired-subspace-learning-2011.11124</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncorrelated-semi-paired-subspace-learning-2011.11124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncorrelated-semi-paired-subspace-learning-2011.11124"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-process-mining-by-network-of-classifiers-and-clusterers-the-pedf-model-2011.11136</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-process-mining-by-network-of-classifiers-and-clusterers-the-pedf-model-2011.11136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-process-mining-by-network-of-classifiers-and-clusterers-the-pedf-model-2011.11136"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-continuous-constrained-optimization-for-structure-learning-2011.11150</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-continuous-constrained-optimization-for-structure-learning-2011.11150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-continuous-constrained-optimization-for-structure-learning-2011.11150"/></url>
<url><loc>https://scifaro.com/en/abs/lahar-latent-human-activity-recognition-using-lda-2011.11151</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lahar-latent-human-activity-recognition-using-lda-2011.11151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lahar-latent-human-activity-recognition-using-lda-2011.11151"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-overlooked-pitfalls-of-weight-decay-and-how-to-mitigate-them-a-gradient-norm-perspective-2011.11152</loc><lastmod>2024-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-overlooked-pitfalls-of-weight-decay-and-how-to-mitigate-them-a-gradient-norm-perspective-2011.11152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-overlooked-pitfalls-of-weight-decay-and-how-to-mitigate-them-a-gradient-norm-perspective-2011.11152"/></url>
<url><loc>https://scifaro.com/en/abs/lindt-tackling-negative-federated-learning-with-local-adaptation-2011.11160</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lindt-tackling-negative-federated-learning-with-local-adaptation-2011.11160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lindt-tackling-negative-federated-learning-with-local-adaptation-2011.11160"/></url>
<url><loc>https://scifaro.com/en/abs/on-instahide-phase-retrieval-and-sparse-matrix-factorization-2011.11181</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-instahide-phase-retrieval-and-sparse-matrix-factorization-2011.11181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-instahide-phase-retrieval-and-sparse-matrix-factorization-2011.11181"/></url>
<url><loc>https://scifaro.com/en/abs/comatch-semi-supervised-learning-with-contrastive-graph-regularization-2011.11183</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comatch-semi-supervised-learning-with-contrastive-graph-regularization-2011.11183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comatch-semi-supervised-learning-with-contrastive-graph-regularization-2011.11183"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-deep-learning-in-domain-sciences-at-exascale-2011.11188</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-deep-learning-in-domain-sciences-at-exascale-2011.11188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-deep-learning-in-domain-sciences-at-exascale-2011.11188"/></url>
<url><loc>https://scifaro.com/en/abs/v3h-view-variation-and-view-heredity-for-incomplete-multi-view-clustering-2011.11194</loc><lastmod>2026-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/v3h-view-variation-and-view-heredity-for-incomplete-multi-view-clustering-2011.11194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/v3h-view-variation-and-view-heredity-for-incomplete-multi-view-clustering-2011.11194"/></url>
<url><loc>https://scifaro.com/en/abs/the-emerging-trends-of-multi-label-learning-2011.11197</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-emerging-trends-of-multi-label-learning-2011.11197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-emerging-trends-of-multi-label-learning-2011.11197"/></url>
<url><loc>https://scifaro.com/en/abs/balance-regularized-neural-network-models-for-causal-effect-estimation-2011.11199</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balance-regularized-neural-network-models-for-causal-effect-estimation-2011.11199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balance-regularized-neural-network-models-for-causal-effect-estimation-2011.11199"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-neural-checkpoints-2011.11200</loc><lastmod>2022-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-neural-checkpoints-2011.11200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-neural-checkpoints-2011.11200"/></url>
<url><loc>https://scifaro.com/en/abs/effectiveness-of-mpc-friendly-softmax-replacement-2011.11202</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effectiveness-of-mpc-friendly-softmax-replacement-2011.11202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effectiveness-of-mpc-friendly-softmax-replacement-2011.11202"/></url>
<url><loc>https://scifaro.com/en/abs/geometry-aware-universal-mirror-prox-2011.11203</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometry-aware-universal-mirror-prox-2011.11203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometry-aware-universal-mirror-prox-2011.11203"/></url>
<url><loc>https://scifaro.com/en/abs/detection-and-classification-of-mental-illnesses-on-social-media-using-roberta-2011.11226</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-and-classification-of-mental-illnesses-on-social-media-using-roberta-2011.11226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-and-classification-of-mental-illnesses-on-social-media-using-roberta-2011.11226"/></url>
<url><loc>https://scifaro.com/en/abs/rome-robustifying-memory-efficient-nas-via-topology-disentanglement-and-gradient-accumulation-2011.11233</loc><lastmod>2023-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rome-robustifying-memory-efficient-nas-via-topology-disentanglement-and-gradient-accumulation-2011.11233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rome-robustifying-memory-efficient-nas-via-topology-disentanglement-and-gradient-accumulation-2011.11233"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-of-representation-learning-for-reinforcement-learning-in-healthcare-2011.11235</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-of-representation-learning-for-reinforcement-learning-in-healthcare-2011.11235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-of-representation-learning-for-reinforcement-learning-in-healthcare-2011.11235"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hidden-markov-models-from-aggregate-observations-2011.11236</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hidden-markov-models-from-aggregate-observations-2011.11236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hidden-markov-models-from-aggregate-observations-2011.11236"/></url>
<url><loc>https://scifaro.com/en/abs/learning-quantized-neural-nets-by-coarse-gradient-method-for-non-linear-classification-2011.11256</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-quantized-neural-nets-by-coarse-gradient-method-for-non-linear-classification-2011.11256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-quantized-neural-nets-by-coarse-gradient-method-for-non-linear-classification-2011.11256"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-class-imbalance-reduction-2011.11266</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-class-imbalance-reduction-2011.11266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-class-imbalance-reduction-2011.11266"/></url>
<url><loc>https://scifaro.com/en/abs/ic-neuron-an-efficient-unit-to-construct-neural-networks-2011.11271</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ic-neuron-an-efficient-unit-to-construct-neural-networks-2011.11271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ic-neuron-an-efficient-unit-to-construct-neural-networks-2011.11271"/></url>
<url><loc>https://scifaro.com/en/abs/autograph-automated-graph-neural-network-2011.11288</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autograph-automated-graph-neural-network-2011.11288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autograph-automated-graph-neural-network-2011.11288"/></url>
<url><loc>https://scifaro.com/en/abs/evolutionary-planning-in-latent-space-2011.11293</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolutionary-planning-in-latent-space-2011.11293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolutionary-planning-in-latent-space-2011.11293"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-data-imputation-a-survey-on-deep-learning-approaches-2011.11347</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-data-imputation-a-survey-on-deep-learning-approaches-2011.11347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-data-imputation-a-survey-on-deep-learning-approaches-2011.11347"/></url>
<url><loc>https://scifaro.com/en/abs/improving-federated-relational-data-modeling-via-basis-alignment-and-weight-penalty-2011.11369</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-federated-relational-data-modeling-via-basis-alignment-and-weight-penalty-2011.11369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-federated-relational-data-modeling-via-basis-alignment-and-weight-penalty-2011.11369"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-application-of-physically-guided-neural-networks-with-internal-variables-to-continuum-problems-2011.11376</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-application-of-physically-guided-neural-networks-with-internal-variables-to-continuum-problems-2011.11376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-application-of-physically-guided-neural-networks-with-internal-variables-to-continuum-problems-2011.11376"/></url>
<url><loc>https://scifaro.com/en/abs/deep-directed-information-based-learning-for-privacy-preserving-smart-meter-data-release-2011.11421</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-directed-information-based-learning-for-privacy-preserving-smart-meter-data-release-2011.11421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-directed-information-based-learning-for-privacy-preserving-smart-meter-data-release-2011.11421"/></url>
<url><loc>https://scifaro.com/en/abs/pareto-efficient-acquisition-functions-for-cost-aware-bayesian-optimization-2011.11456</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pareto-efficient-acquisition-functions-for-cost-aware-bayesian-optimization-2011.11456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pareto-efficient-acquisition-functions-for-cost-aware-bayesian-optimization-2011.11456"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-difficulty-estimation-with-action-scores-2011.11461</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-difficulty-estimation-with-action-scores-2011.11461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-difficulty-estimation-with-action-scores-2011.11461"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-simulator-2011.11472</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-simulator-2011.11472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-simulator-2011.11472"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-recidivism-through-a-causal-lens-2011.11483</loc><lastmod>2024-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-recidivism-through-a-causal-lens-2011.11483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-recidivism-through-a-causal-lens-2011.11483"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-on-ai-uncertainty-based-on-rademacher-complexity-and-shannon-entropy-2011.11484</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-on-ai-uncertainty-based-on-rademacher-complexity-and-shannon-entropy-2011.11484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-on-ai-uncertainty-based-on-rademacher-complexity-and-shannon-entropy-2011.11484"/></url>
<url><loc>https://scifaro.com/en/abs/latent-adversarial-debiasing-mitigating-collider-bias-in-deep-neural-networks-2011.11486</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-adversarial-debiasing-mitigating-collider-bias-in-deep-neural-networks-2011.11486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-adversarial-debiasing-mitigating-collider-bias-in-deep-neural-networks-2011.11486"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-and-computational-thresholds-for-the-planted-k-densest-sub-hypergraph-problem-2011.11500</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-and-computational-thresholds-for-the-planted-k-densest-sub-hypergraph-problem-2011.11500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-and-computational-thresholds-for-the-planted-k-densest-sub-hypergraph-problem-2011.11500"/></url>
<url><loc>https://scifaro.com/en/abs/condlstm-q-a-novel-deep-learning-model-for-predicting-covid-19-mortality-in-fine-geographical-scale-2011.11507</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/condlstm-q-a-novel-deep-learning-model-for-predicting-covid-19-mortality-in-fine-geographical-scale-2011.11507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/condlstm-q-a-novel-deep-learning-model-for-predicting-covid-19-mortality-in-fine-geographical-scale-2011.11507"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-partition-discriminant-analysis-2011.11521</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-partition-discriminant-analysis-2011.11521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-partition-discriminant-analysis-2011.11521"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-alternatives-to-softmax-function-2011.11538</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-alternatives-to-softmax-function-2011.11538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-alternatives-to-softmax-function-2011.11538"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-contrastive-learning-in-human-activity-recognition-for-healthcare-2011.11542</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-contrastive-learning-in-human-activity-recognition-for-healthcare-2011.11542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-contrastive-learning-in-human-activity-recognition-for-healthcare-2011.11542"/></url>
<url><loc>https://scifaro.com/en/abs/ml4h-abstract-track-2020-2011.11554</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ml4h-abstract-track-2020-2011.11554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ml4h-abstract-track-2020-2011.11554"/></url>
<url><loc>https://scifaro.com/en/abs/logarithmic-regret-for-reinforcement-learning-with-linear-function-approximation-2011.11566</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logarithmic-regret-for-reinforcement-learning-with-linear-function-approximation-2011.11566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logarithmic-regret-for-reinforcement-learning-with-linear-function-approximation-2011.11566"/></url>
<url><loc>https://scifaro.com/en/abs/conjecturing-based-discovery-of-patterns-in-data-2011.11576</loc><lastmod>2023-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conjecturing-based-discovery-of-patterns-in-data-2011.11576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conjecturing-based-discovery-of-patterns-in-data-2011.11576"/></url>
<url><loc>https://scifaro.com/en/abs/neural-collapse-with-unconstrained-features-2011.11619</loc><lastmod>2020-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-collapse-with-unconstrained-features-2011.11619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-collapse-with-unconstrained-features-2011.11619"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-multivariate-time-series-classification-a-deep-neural-network-which-learns-to-attend-to-important-variables-as-well-as-informative-time-intervals-2011.11631</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-multivariate-time-series-classification-a-deep-neural-network-which-learns-to-attend-to-important-variables-as-well-as-informative-time-intervals-2011.11631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-multivariate-time-series-classification-a-deep-neural-network-which-learns-to-attend-to-important-variables-as-well-as-informative-time-intervals-2011.11631"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-learning-needs-better-features-or-much-more-data-2011.11660</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-learning-needs-better-features-or-much-more-data-2011.11660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-learning-needs-better-features-or-much-more-data-2011.11660"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-and-distance-based-feature-ranking-for-unsupervised-learning-2011.11679</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-and-distance-based-feature-ranking-for-unsupervised-learning-2011.11679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-and-distance-based-feature-ranking-for-unsupervised-learning-2011.11679"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-construction-of-nonlinear-models-over-normalized-data-2011.11682</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-construction-of-nonlinear-models-over-normalized-data-2011.11682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-construction-of-nonlinear-models-over-normalized-data-2011.11682"/></url>
<url><loc>https://scifaro.com/en/abs/a-use-of-even-activation-functions-in-neural-networks-2011.11713</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-use-of-even-activation-functions-in-neural-networks-2011.11713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-use-of-even-activation-functions-in-neural-networks-2011.11713"/></url>
<url><loc>https://scifaro.com/en/abs/remaining-useful-life-estimation-under-uncertainty-with-causal-graphnets-2011.11740</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/remaining-useful-life-estimation-under-uncertainty-with-causal-graphnets-2011.11740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/remaining-useful-life-estimation-under-uncertainty-with-causal-graphnets-2011.11740"/></url>
<url><loc>https://scifaro.com/en/abs/learnable-and-instance-robust-predictions-for-online-matching-flows-and-load-balancing-2011.11743</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learnable-and-instance-robust-predictions-for-online-matching-flows-and-load-balancing-2011.11743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learnable-and-instance-robust-predictions-for-online-matching-flows-and-load-balancing-2011.11743"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-solution-of-a-statistical-inverse-problem-in-multiscale-computational-mechanics-using-an-artificial-neural-network-2011.11761</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-solution-of-a-statistical-inverse-problem-in-multiscale-computational-mechanics-using-an-artificial-neural-network-2011.11761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-solution-of-a-statistical-inverse-problem-in-multiscale-computational-mechanics-using-an-artificial-neural-network-2011.11761"/></url>
<url><loc>https://scifaro.com/en/abs/alphamatch-improving-consistency-for-semi-supervised-learning-with-alpha-divergence-2011.11779</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alphamatch-improving-consistency-for-semi-supervised-learning-with-alpha-divergence-2011.11779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alphamatch-improving-consistency-for-semi-supervised-learning-with-alpha-divergence-2011.11779"/></url>
<url><loc>https://scifaro.com/en/abs/who-killed-lilly-kane-a-case-study-in-applying-knowledge-graphs-to-crime-fiction-2011.11804</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/who-killed-lilly-kane-a-case-study-in-applying-knowledge-graphs-to-crime-fiction-2011.11804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/who-killed-lilly-kane-a-case-study-in-applying-knowledge-graphs-to-crime-fiction-2011.11804"/></url>
<url><loc>https://scifaro.com/en/abs/the-interpretable-dictionary-in-sparse-coding-2011.11805</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-interpretable-dictionary-in-sparse-coding-2011.11805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-interpretable-dictionary-in-sparse-coding-2011.11805"/></url>
<url><loc>https://scifaro.com/en/abs/when-machine-learning-meets-privacy-a-survey-and-outlook-2011.11819</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-machine-learning-meets-privacy-a-survey-and-outlook-2011.11819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-machine-learning-meets-privacy-a-survey-and-outlook-2011.11819"/></url>
<url><loc>https://scifaro.com/en/abs/delayed-feedback-modeling-for-the-entire-space-conversion-rate-prediction-2011.11826</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delayed-feedback-modeling-for-the-entire-space-conversion-rate-prediction-2011.11826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delayed-feedback-modeling-for-the-entire-space-conversion-rate-prediction-2011.11826"/></url>
<url><loc>https://scifaro.com/en/abs/repaint-knowledge-transfer-in-deep-reinforcement-learning-2011.11827</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/repaint-knowledge-transfer-in-deep-reinforcement-learning-2011.11827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/repaint-knowledge-transfer-in-deep-reinforcement-learning-2011.11827"/></url>
<url><loc>https://scifaro.com/en/abs/rtfn-a-robust-temporal-feature-network-for-time-series-classification-2011.11829</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rtfn-a-robust-temporal-feature-network-for-time-series-classification-2011.11829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rtfn-a-robust-temporal-feature-network-for-time-series-classification-2011.11829"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-inference-performance-of-deep-learning-models-on-analog-devices-2011.11840</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-inference-performance-of-deep-learning-models-on-analog-devices-2011.11840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-inference-performance-of-deep-learning-models-on-analog-devices-2011.11840"/></url>
<url><loc>https://scifaro.com/en/abs/autoweka4mcps-avatar-accelerating-automated-machine-learning-pipeline-composition-and-optimisation-2011.11846</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoweka4mcps-avatar-accelerating-automated-machine-learning-pipeline-composition-and-optimisation-2011.11846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoweka4mcps-avatar-accelerating-automated-machine-learning-pipeline-composition-and-optimisation-2011.11846"/></url>
<url><loc>https://scifaro.com/en/abs/solving-the-lunar-lander-problem-under-uncertainty-using-reinforcement-learning-2011.11850</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-the-lunar-lander-problem-under-uncertainty-using-reinforcement-learning-2011.11850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-the-lunar-lander-problem-under-uncertainty-using-reinforcement-learning-2011.11850"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-lagrangian-adversarial-attacks-2011.11857</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-lagrangian-adversarial-attacks-2011.11857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-lagrangian-adversarial-attacks-2011.11857"/></url>
<url><loc>https://scifaro.com/en/abs/cyclic-label-propagation-for-graph-semi-supervised-learning-2011.11860</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cyclic-label-propagation-for-graph-semi-supervised-learning-2011.11860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cyclic-label-propagation-for-graph-semi-supervised-learning-2011.11860"/></url>
<url><loc>https://scifaro.com/en/abs/instahide-s-sample-complexity-when-mixing-two-private-images-2011.11877</loc><lastmod>2024-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instahide-s-sample-complexity-when-mixing-two-private-images-2011.11877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instahide-s-sample-complexity-when-mixing-two-private-images-2011.11877"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-fairness-with-disentangled-causal-effect-variational-autoencoder-2011.11878</loc><lastmod>2020-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-fairness-with-disentangled-causal-effect-variational-autoencoder-2011.11878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-fairness-with-disentangled-causal-effect-variational-autoencoder-2011.11878"/></url>
<url><loc>https://scifaro.com/en/abs/learning-principle-of-least-action-with-reinforcement-learning-2011.11891</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-principle-of-least-action-with-reinforcement-learning-2011.11891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-principle-of-least-action-with-reinforcement-learning-2011.11891"/></url>
<url><loc>https://scifaro.com/en/abs/latent-group-structured-multi-task-learning-2011.11904</loc><lastmod>2020-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-group-structured-multi-task-learning-2011.11904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-group-structured-multi-task-learning-2011.11904"/></url>
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<url><loc>https://scifaro.com/en/abs/interactive-machine-learning-of-musical-gesture-2011.13487</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interactive-machine-learning-of-musical-gesture-2011.13487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interactive-machine-learning-of-musical-gesture-2011.13487"/></url>
<url><loc>https://scifaro.com/en/abs/fast-ir-drop-estimation-with-machine-learning-2011.13491</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-ir-drop-estimation-with-machine-learning-2011.13491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-ir-drop-estimation-with-machine-learning-2011.13491"/></url>
<url><loc>https://scifaro.com/en/abs/dissipative-deep-neural-dynamical-systems-2011.13492</loc><lastmod>2022-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dissipative-deep-neural-dynamical-systems-2011.13492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dissipative-deep-neural-dynamical-systems-2011.13492"/></url>
<url><loc>https://scifaro.com/en/abs/fist-a-feature-importance-sampling-and-tree-based-method-for-automatic-design-flow-parameter-tuning-2011.13493</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fist-a-feature-importance-sampling-and-tree-based-method-for-automatic-design-flow-parameter-tuning-2011.13493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fist-a-feature-importance-sampling-and-tree-based-method-for-automatic-design-flow-parameter-tuning-2011.13493"/></url>
<url><loc>https://scifaro.com/en/abs/powernet-transferable-dynamic-ir-drop-estimation-via-maximum-convolutional-neural-network-2011.13494</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/powernet-transferable-dynamic-ir-drop-estimation-via-maximum-convolutional-neural-network-2011.13494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/powernet-transferable-dynamic-ir-drop-estimation-via-maximum-convolutional-neural-network-2011.13494"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-neural-network-for-modelling-the-thermochemical-curing-process-of-composite-tool-systems-during-manufacture-2011.13511</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-neural-network-for-modelling-the-thermochemical-curing-process-of-composite-tool-systems-during-manufacture-2011.13511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-neural-network-for-modelling-the-thermochemical-curing-process-of-composite-tool-systems-during-manufacture-2011.13511"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-information-diffusion-in-time-varying-graphs-through-deep-reinforcement-learning-2011.13518</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-information-diffusion-in-time-varying-graphs-through-deep-reinforcement-learning-2011.13518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-information-diffusion-in-time-varying-graphs-through-deep-reinforcement-learning-2011.13518"/></url>
<url><loc>https://scifaro.com/en/abs/net2-a-graph-attention-network-method-customized-for-pre-placement-net-length-estimation-2011.13522</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/net2-a-graph-attention-network-method-customized-for-pre-placement-net-length-estimation-2011.13522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/net2-a-graph-attention-network-method-customized-for-pre-placement-net-length-estimation-2011.13522"/></url>
<url><loc>https://scifaro.com/en/abs/they-are-not-completely-useless-towards-recycling-transferable-unlabeled-data-for-class-mismatched-semi-supervised-learning-2011.13529</loc><lastmod>2022-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/they-are-not-completely-useless-towards-recycling-transferable-unlabeled-data-for-class-mismatched-semi-supervised-learning-2011.13529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/they-are-not-completely-useless-towards-recycling-transferable-unlabeled-data-for-class-mismatched-semi-supervised-learning-2011.13529"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-uncertainty-in-deep-learning-whether-and-how-it-improves-robustness-2011.13538</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-uncertainty-in-deep-learning-whether-and-how-it-improves-robustness-2011.13538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-uncertainty-in-deep-learning-whether-and-how-it-improves-robustness-2011.13538"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-time-series-representation-learning-by-inter-intra-relational-reasoning-2011.13548</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-time-series-representation-learning-by-inter-intra-relational-reasoning-2011.13548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-time-series-representation-learning-by-inter-intra-relational-reasoning-2011.13548"/></url>
<url><loc>https://scifaro.com/en/abs/tight-hardness-results-for-training-depth-2-relu-networks-2011.13550</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-hardness-results-for-training-depth-2-relu-networks-2011.13550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-hardness-results-for-training-depth-2-relu-networks-2011.13550"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-benchmarking-frameworks-for-reinforcement-learning-2011.13577</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-benchmarking-frameworks-for-reinforcement-learning-2011.13577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-benchmarking-frameworks-for-reinforcement-learning-2011.13577"/></url>
<url><loc>https://scifaro.com/en/abs/improving-layer-wise-adaptive-rate-methods-using-trust-ratio-clipping-2011.13584</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-layer-wise-adaptive-rate-methods-using-trust-ratio-clipping-2011.13584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-layer-wise-adaptive-rate-methods-using-trust-ratio-clipping-2011.13584"/></url>
<url><loc>https://scifaro.com/en/abs/eigenvalue-corrected-natural-gradient-based-on-a-new-approximation-2011.13609</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigenvalue-corrected-natural-gradient-based-on-a-new-approximation-2011.13609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigenvalue-corrected-natural-gradient-based-on-a-new-approximation-2011.13609"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-transfer-model-randomized-transferable-machine-2011.13629</loc><lastmod>2022-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-transfer-model-randomized-transferable-machine-2011.13629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-transfer-model-randomized-transferable-machine-2011.13629"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-resource-constrained-multiclass-scheduling-in-wireless-networks-2011.13634</loc><lastmod>2022-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-resource-constrained-multiclass-scheduling-in-wireless-networks-2011.13634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-resource-constrained-multiclass-scheduling-in-wireless-networks-2011.13634"/></url>
<url><loc>https://scifaro.com/en/abs/detection-of-malaria-vector-breeding-habitats-using-topographic-models-2011.13714</loc><lastmod>2024-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-of-malaria-vector-breeding-habitats-using-topographic-models-2011.13714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-of-malaria-vector-breeding-habitats-using-topographic-models-2011.13714"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-on-the-uncertainty-of-convolutional-layers-in-deep-neural-networks-2011.13719</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-on-the-uncertainty-of-convolutional-layers-in-deep-neural-networks-2011.13719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-on-the-uncertainty-of-convolutional-layers-in-deep-neural-networks-2011.13719"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-traits-that-affect-learnability-in-gans-2011.13728</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-traits-that-affect-learnability-in-gans-2011.13728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-traits-that-affect-learnability-in-gans-2011.13728"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-generalization-in-american-sign-language-prediction-for-edge-devices-with-extremely-low-memory-footprint-2011.13741</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-generalization-in-american-sign-language-prediction-for-edge-devices-with-extremely-low-memory-footprint-2011.13741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-generalization-in-american-sign-language-prediction-for-edge-devices-with-extremely-low-memory-footprint-2011.13741"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-based-joint-path-and-energy-optimization-of-cellular-connected-unmanned-aerial-vehicles-2011.13744</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-based-joint-path-and-energy-optimization-of-cellular-connected-unmanned-aerial-vehicles-2011.13744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-based-joint-path-and-energy-optimization-of-cellular-connected-unmanned-aerial-vehicles-2011.13744"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-for-deep-matrix-factorization-dynamics-and-implicit-bias-towards-low-rank-2011.13772</loc><lastmod>2023-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-for-deep-matrix-factorization-dynamics-and-implicit-bias-towards-low-rank-2011.13772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-for-deep-matrix-factorization-dynamics-and-implicit-bias-towards-low-rank-2011.13772"/></url>
<url><loc>https://scifaro.com/en/abs/navigating-the-gan-parameter-space-for-semantic-image-editing-2011.13786</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/navigating-the-gan-parameter-space-for-semantic-image-editing-2011.13786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/navigating-the-gan-parameter-space-for-semantic-image-editing-2011.13786"/></url>
<url><loc>https://scifaro.com/en/abs/castelo-clustered-atom-subtypes-aided-lead-optimization-a-combined-machine-learning-and-molecular-modeling-method-2011.13788</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/castelo-clustered-atom-subtypes-aided-lead-optimization-a-combined-machine-learning-and-molecular-modeling-method-2011.13788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/castelo-clustered-atom-subtypes-aided-lead-optimization-a-combined-machine-learning-and-molecular-modeling-method-2011.13788"/></url>
<url><loc>https://scifaro.com/en/abs/offline-learning-from-demonstrations-and-unlabeled-experience-2011.13885</loc><lastmod>2020-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-learning-from-demonstrations-and-unlabeled-experience-2011.13885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-learning-from-demonstrations-and-unlabeled-experience-2011.13885"/></url>
<url><loc>https://scifaro.com/en/abs/latent-skill-planning-for-exploration-and-transfer-2011.13897</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-skill-planning-for-exploration-and-transfer-2011.13897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-skill-planning-for-exploration-and-transfer-2011.13897"/></url>
<url><loc>https://scifaro.com/en/abs/deep-representation-for-connected-health-semi-supervised-learning-for-analysing-the-risk-of-urinary-tract-infections-in-people-with-dementia-2011.13916</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-representation-for-connected-health-semi-supervised-learning-for-analysing-the-risk-of-urinary-tract-infections-in-people-with-dementia-2011.13916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-representation-for-connected-health-semi-supervised-learning-for-analysing-the-risk-of-urinary-tract-infections-in-people-with-dementia-2011.13916"/></url>
<url><loc>https://scifaro.com/en/abs/reflective-net-learning-from-explanations-2011.13986</loc><lastmod>2025-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reflective-net-learning-from-explanations-2011.13986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reflective-net-learning-from-explanations-2011.13986"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-discrimination-in-learning-algorithms-for-social-good-in-sociotechnical-systems-2011.13988</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-discrimination-in-learning-algorithms-for-social-good-in-sociotechnical-systems-2011.13988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-discrimination-in-learning-algorithms-for-social-good-in-sociotechnical-systems-2011.13988"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-in-cnns-via-expected-improvement-maximization-2011.14015</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-in-cnns-via-expected-improvement-maximization-2011.14015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-in-cnns-via-expected-improvement-maximization-2011.14015"/></url>
<url><loc>https://scifaro.com/en/abs/voting-based-ensemble-improves-robustness-of-defensive-models-2011.14031</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/voting-based-ensemble-improves-robustness-of-defensive-models-2011.14031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/voting-based-ensemble-improves-robustness-of-defensive-models-2011.14031"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-cardiovascular-risk-from-national-administrative-databases-using-a-combined-survival-analysis-and-deep-learning-approach-2011.14032</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-cardiovascular-risk-from-national-administrative-databases-using-a-combined-survival-analysis-and-deep-learning-approach-2011.14032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-cardiovascular-risk-from-national-administrative-databases-using-a-combined-survival-analysis-and-deep-learning-approach-2011.14032"/></url>
<url><loc>https://scifaro.com/en/abs/a-tractable-online-learning-algorithm-for-the-multinomial-logit-contextual-bandit-2011.14033</loc><lastmod>2024-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tractable-online-learning-algorithm-for-the-multinomial-logit-contextual-bandit-2011.14033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tractable-online-learning-algorithm-for-the-multinomial-logit-contextual-bandit-2011.14033"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-hidden-layer-representation-into-adversarial-attacks-and-defences-2011.14045</loc><lastmod>2022-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-hidden-layer-representation-into-adversarial-attacks-and-defences-2011.14045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-hidden-layer-representation-into-adversarial-attacks-and-defences-2011.14045"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-incomplete-features-by-simultaneous-training-of-neural-networks-and-sparse-coding-2011.14047</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-incomplete-features-by-simultaneous-training-of-neural-networks-and-sparse-coding-2011.14047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-incomplete-features-by-simultaneous-training-of-neural-networks-and-sparse-coding-2011.14047"/></url>
<url><loc>https://scifaro.com/en/abs/is-support-set-diversity-necessary-for-meta-learning-2011.14048</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-support-set-diversity-necessary-for-meta-learning-2011.14048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-support-set-diversity-necessary-for-meta-learning-2011.14048"/></url>
<url><loc>https://scifaro.com/en/abs/deterministic-certification-to-adversarial-attacks-via-bernstein-polynomial-approximation-2011.14085</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deterministic-certification-to-adversarial-attacks-via-bernstein-polynomial-approximation-2011.14085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deterministic-certification-to-adversarial-attacks-via-bernstein-polynomial-approximation-2011.14085"/></url>
<url><loc>https://scifaro.com/en/abs/freezenet-full-performance-by-reduced-storage-costs-2011.14087</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/freezenet-full-performance-by-reduced-storage-costs-2011.14087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/freezenet-full-performance-by-reduced-storage-costs-2011.14087"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-change-point-detection-with-self-supervised-contrastive-predictive-coding-2011.14097</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-change-point-detection-with-self-supervised-contrastive-predictive-coding-2011.14097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-change-point-detection-with-self-supervised-contrastive-predictive-coding-2011.14097"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-uncertainty-aware-directional-message-passing-for-non-equilibrium-molecules-2011.14115</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-uncertainty-aware-directional-message-passing-for-non-equilibrium-molecules-2011.14115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-uncertainty-aware-directional-message-passing-for-non-equilibrium-molecules-2011.14115"/></url>
<url><loc>https://scifaro.com/en/abs/risk-monotonicity-in-statistical-learning-2011.14126</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-monotonicity-in-statistical-learning-2011.14126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-monotonicity-in-statistical-learning-2011.14126"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-load-forecasting-using-bi-directional-sequential-models-and-feature-engineering-for-small-datasets-2011.14137</loc><lastmod>2023-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-load-forecasting-using-bi-directional-sequential-models-and-feature-engineering-for-small-datasets-2011.14137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-load-forecasting-using-bi-directional-sequential-models-and-feature-engineering-for-small-datasets-2011.14137"/></url>
<url><loc>https://scifaro.com/en/abs/a-backward-sde-method-for-uncertainty-quantification-in-deep-learning-2011.14145</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-backward-sde-method-for-uncertainty-quantification-in-deep-learning-2011.14145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-backward-sde-method-for-uncertainty-quantification-in-deep-learning-2011.14145"/></url>
<url><loc>https://scifaro.com/en/abs/curvature-regularization-to-prevent-distortion-in-graph-embedding-2011.14211</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curvature-regularization-to-prevent-distortion-in-graph-embedding-2011.14211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curvature-regularization-to-prevent-distortion-in-graph-embedding-2011.14211"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-tree-search-for-a-single-target-search-game-on-a-2-d-lattice-2011.14246</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-tree-search-for-a-single-target-search-game-on-a-2-d-lattice-2011.14246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-tree-search-for-a-single-target-search-game-on-a-2-d-lattice-2011.14246"/></url>
<url><loc>https://scifaro.com/en/abs/importance-weight-estimation-and-generalization-in-domain-adaptation-under-label-shift-2011.14251</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-weight-estimation-and-generalization-in-domain-adaptation-under-label-shift-2011.14251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-weight-estimation-and-generalization-in-domain-adaptation-under-label-shift-2011.14251"/></url>
<url><loc>https://scifaro.com/en/abs/distilled-thompson-sampling-practical-and-efficient-thompson-sampling-via-imitation-learning-2011.14266</loc><lastmod>2024-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilled-thompson-sampling-practical-and-efficient-thompson-sampling-via-imitation-learning-2011.14266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilled-thompson-sampling-practical-and-efficient-thompson-sampling-via-imitation-learning-2011.14266"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-sample-complexity-for-turn-based-stochastic-game-2011.14267</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-sample-complexity-for-turn-based-stochastic-game-2011.14267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-sample-complexity-for-turn-based-stochastic-game-2011.14267"/></url>
<url><loc>https://scifaro.com/en/abs/active-output-selection-strategies-for-multiple-learning-regression-models-2011.14307</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-output-selection-strategies-for-multiple-learning-regression-models-2011.14307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-output-selection-strategies-for-multiple-learning-regression-models-2011.14307"/></url>
<url><loc>https://scifaro.com/en/abs/frocc-fast-random-projection-based-one-class-classification-2011.14317</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frocc-fast-random-projection-based-one-class-classification-2011.14317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frocc-fast-random-projection-based-one-class-classification-2011.14317"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-mixture-weights-for-off-policy-evaluation-with-multiple-behavior-policies-2011.14359</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-mixture-weights-for-off-policy-evaluation-with-multiple-behavior-policies-2011.14359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-mixture-weights-for-off-policy-evaluation-with-multiple-behavior-policies-2011.14359"/></url>
<url><loc>https://scifaro.com/en/abs/a-targeted-universal-attack-on-graph-convolutional-network-2011.14365</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-targeted-universal-attack-on-graph-convolutional-network-2011.14365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-targeted-universal-attack-on-graph-convolutional-network-2011.14365"/></url>
<url><loc>https://scifaro.com/en/abs/a-smartphone-based-multi-input-workflow-for-non-invasive-estimation-of-haemoglobin-levels-using-machine-learning-techniques-2011.14370</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-smartphone-based-multi-input-workflow-for-non-invasive-estimation-of-haemoglobin-levels-using-machine-learning-techniques-2011.14370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-smartphone-based-multi-input-workflow-for-non-invasive-estimation-of-haemoglobin-levels-using-machine-learning-techniques-2011.14370"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-regional-locust-swarm-distribution-with-recurrent-neural-networks-2011.14371</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-regional-locust-swarm-distribution-with-recurrent-neural-networks-2011.14371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-regional-locust-swarm-distribution-with-recurrent-neural-networks-2011.14371"/></url>
<url><loc>https://scifaro.com/en/abs/offline-reinforcement-learning-hands-on-2011.14379</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-reinforcement-learning-hands-on-2011.14379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-reinforcement-learning-hands-on-2011.14379"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-visual-reinforcement-learning-with-object-centric-representations-2011.14381</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-visual-reinforcement-learning-with-object-centric-representations-2011.14381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-visual-reinforcement-learning-with-object-centric-representations-2011.14381"/></url>
<url><loc>https://scifaro.com/en/abs/improving-neural-network-with-uniform-sparse-connectivity-2011.14420</loc><lastmod>2020-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-neural-network-with-uniform-sparse-connectivity-2011.14420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-neural-network-with-uniform-sparse-connectivity-2011.14420"/></url>
<url><loc>https://scifaro.com/en/abs/architectural-adversarial-robustness-the-case-for-deep-pursuit-2011.14427</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/architectural-adversarial-robustness-the-case-for-deep-pursuit-2011.14427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/architectural-adversarial-robustness-the-case-for-deep-pursuit-2011.14427"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-down-deep-learning-with-mnist-1d-2011.14439</loc><lastmod>2024-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-down-deep-learning-with-mnist-1d-2011.14439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-down-deep-learning-with-mnist-1d-2011.14439"/></url>
<url><loc>https://scifaro.com/en/abs/kinetics-informed-neural-networks-2011.14473</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kinetics-informed-neural-networks-2011.14473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kinetics-informed-neural-networks-2011.14473"/></url>
<url><loc>https://scifaro.com/en/abs/value-function-based-performance-optimization-of-deep-learning-workloads-2011.14486</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/value-function-based-performance-optimization-of-deep-learning-workloads-2011.14486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/value-function-based-performance-optimization-of-deep-learning-workloads-2011.14486"/></url>
<url><loc>https://scifaro.com/en/abs/soft-robust-algorithms-for-batch-reinforcement-learning-2011.14495</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-robust-algorithms-for-batch-reinforcement-learning-2011.14495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-robust-algorithms-for-batch-reinforcement-learning-2011.14495"/></url>
<url><loc>https://scifaro.com/en/abs/feature-learning-in-infinite-width-neural-networks-2011.14522</loc><lastmod>2022-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-learning-in-infinite-width-neural-networks-2011.14522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-learning-in-infinite-width-neural-networks-2011.14522"/></url>
<url><loc>https://scifaro.com/en/abs/a-selective-survey-on-versatile-knowledge-distillation-paradigm-for-neural-network-models-2011.14554</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-selective-survey-on-versatile-knowledge-distillation-paradigm-for-neural-network-models-2011.14554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-selective-survey-on-versatile-knowledge-distillation-paradigm-for-neural-network-models-2011.14554"/></url>
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<url><loc>https://scifaro.com/en/abs/where-should-we-begin-a-low-level-exploration-of-weight-initialization-impact-on-quantized-behaviour-of-deep-neural-networks-2011.14578</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/where-should-we-begin-a-low-level-exploration-of-weight-initialization-impact-on-quantized-behaviour-of-deep-neural-networks-2011.14578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/where-should-we-begin-a-low-level-exploration-of-weight-initialization-impact-on-quantized-behaviour-of-deep-neural-networks-2011.14578"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-private-learning-of-halfspaces-2011.14580</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-private-learning-of-halfspaces-2011.14580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-private-learning-of-halfspaces-2011.14580"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-learning-via-rate-reduction-2011.14593</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-learning-via-rate-reduction-2011.14593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-learning-via-rate-reduction-2011.14593"/></url>
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<url><loc>https://scifaro.com/en/abs/optimizing-the-neural-architecture-of-reinforcement-learning-agents-2011.14632</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-the-neural-architecture-of-reinforcement-learning-agents-2011.14632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-the-neural-architecture-of-reinforcement-learning-agents-2011.14632"/></url>
<url><loc>https://scifaro.com/en/abs/tssrgcn-temporal-spectral-spatial-retrieval-graph-convolutional-network-for-traffic-flow-forecasting-2011.14638</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tssrgcn-temporal-spectral-spatial-retrieval-graph-convolutional-network-for-traffic-flow-forecasting-2011.14638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tssrgcn-temporal-spectral-spatial-retrieval-graph-convolutional-network-for-traffic-flow-forecasting-2011.14638"/></url>
<url><loc>https://scifaro.com/en/abs/robust-ultra-wideband-range-error-mitigation-with-deep-learning-at-the-edge-2011.14684</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-ultra-wideband-range-error-mitigation-with-deep-learning-at-the-edge-2011.14684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-ultra-wideband-range-error-mitigation-with-deep-learning-at-the-edge-2011.14684"/></url>
<url><loc>https://scifaro.com/en/abs/can-neural-networks-learn-persistent-homology-features-2011.14688</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-neural-networks-learn-persistent-homology-features-2011.14688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-neural-networks-learn-persistent-homology-features-2011.14688"/></url>
<url><loc>https://scifaro.com/en/abs/kd-lib-a-pytorch-library-for-knowledge-distillation-pruning-and-quantization-2011.14691</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kd-lib-a-pytorch-library-for-knowledge-distillation-pruning-and-quantization-2011.14691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kd-lib-a-pytorch-library-for-knowledge-distillation-pruning-and-quantization-2011.14691"/></url>
<url><loc>https://scifaro.com/en/abs/on-initial-pools-for-deep-active-learning-2011.14696</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-initial-pools-for-deep-active-learning-2011.14696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-initial-pools-for-deep-active-learning-2011.14696"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-load-forecasting-based-on-adaptive-online-learning-2011.14721</loc><lastmod>2024-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-load-forecasting-based-on-adaptive-online-learning-2011.14721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-load-forecasting-based-on-adaptive-online-learning-2011.14721"/></url>
<url><loc>https://scifaro.com/en/abs/binary-classification-counterbalancing-class-imbalance-by-applying-regression-models-in-combination-with-one-sided-label-shifts-2011.14764</loc><lastmod>2020-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-classification-counterbalancing-class-imbalance-by-applying-regression-models-in-combination-with-one-sided-label-shifts-2011.14764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-classification-counterbalancing-class-imbalance-by-applying-regression-models-in-combination-with-one-sided-label-shifts-2011.14764"/></url>
<url><loc>https://scifaro.com/en/abs/data-free-model-extraction-2011.14779</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-free-model-extraction-2011.14779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-free-model-extraction-2011.14779"/></url>
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<url><loc>https://scifaro.com/en/abs/revisiting-rainbow-promoting-more-insightful-and-inclusive-deep-reinforcement-learning-research-2011.14826</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-rainbow-promoting-more-insightful-and-inclusive-deep-reinforcement-learning-research-2011.14826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-rainbow-promoting-more-insightful-and-inclusive-deep-reinforcement-learning-research-2011.14826"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-stochastic-subspace-clustering-2011.14859</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-stochastic-subspace-clustering-2011.14859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-stochastic-subspace-clustering-2011.14859"/></url>
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<url><loc>https://scifaro.com/en/abs/latent-programmer-discrete-latent-codes-for-program-synthesis-2012.00377</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-programmer-discrete-latent-codes-for-program-synthesis-2012.00377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-programmer-discrete-latent-codes-for-program-synthesis-2012.00377"/></url>
<url><loc>https://scifaro.com/en/abs/non-stationary-latent-bandits-2012.00386</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-stationary-latent-bandits-2012.00386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-stationary-latent-bandits-2012.00386"/></url>
<url><loc>https://scifaro.com/en/abs/use-of-remote-sensing-data-to-identify-air-pollution-signatures-in-india-2012.00402</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/use-of-remote-sensing-data-to-identify-air-pollution-signatures-in-india-2012.00402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/use-of-remote-sensing-data-to-identify-air-pollution-signatures-in-india-2012.00402"/></url>
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<url><loc>https://scifaro.com/en/abs/machine-learning-systems-in-the-iot-trustworthiness-trade-offs-for-edge-intelligence-2012.00419</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-systems-in-the-iot-trustworthiness-trade-offs-for-edge-intelligence-2012.00419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-systems-in-the-iot-trustworthiness-trade-offs-for-edge-intelligence-2012.00419"/></url>
<url><loc>https://scifaro.com/en/abs/does-fair-ranking-improve-minority-outcomes-understanding-the-interplay-of-human-and-algorithmic-biases-in-online-hiring-2012.00423</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-fair-ranking-improve-minority-outcomes-understanding-the-interplay-of-human-and-algorithmic-biases-in-online-hiring-2012.00423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-fair-ranking-improve-minority-outcomes-understanding-the-interplay-of-human-and-algorithmic-biases-in-online-hiring-2012.00423"/></url>
<url><loc>https://scifaro.com/en/abs/edge-assisted-democratized-learning-towards-federated-analytics-2012.00425</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edge-assisted-democratized-learning-towards-federated-analytics-2012.00425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edge-assisted-democratized-learning-towards-federated-analytics-2012.00425"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-grammars-for-equation-discovery-2012.00428</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-grammars-for-equation-discovery-2012.00428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-grammars-for-equation-discovery-2012.00428"/></url>
<url><loc>https://scifaro.com/en/abs/a-generative-model-to-synthesize-eeg-data-for-epileptic-seizure-prediction-2012.00430</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generative-model-to-synthesize-eeg-data-for-epileptic-seizure-prediction-2012.00430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generative-model-to-synthesize-eeg-data-for-epileptic-seizure-prediction-2012.00430"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-anomaly-detection-from-semantic-similarity-scores-2012.00461</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-anomaly-detection-from-semantic-similarity-scores-2012.00461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-anomaly-detection-from-semantic-similarity-scores-2012.00461"/></url>
<url><loc>https://scifaro.com/en/abs/k-l-medians-clustering-of-trajectories-using-continuous-dynamic-time-warping-2012.00464</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-l-medians-clustering-of-trajectories-using-continuous-dynamic-time-warping-2012.00464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-l-medians-clustering-of-trajectories-using-continuous-dynamic-time-warping-2012.00464"/></url>
<url><loc>https://scifaro.com/en/abs/improving-cluster-recovery-with-feature-rescaling-factors-2012.00477</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-cluster-recovery-with-feature-rescaling-factors-2012.00477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-cluster-recovery-with-feature-rescaling-factors-2012.00477"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-representation-learning-for-high-dimensional-data-analysis-2012.00481</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-representation-learning-for-high-dimensional-data-analysis-2012.00481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-representation-learning-for-high-dimensional-data-analysis-2012.00481"/></url>
<url><loc>https://scifaro.com/en/abs/deep-gravity-enhancing-mobility-flows-generation-with-deep-neural-networks-and-geographic-information-2012.00489</loc><lastmod>2022-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-gravity-enhancing-mobility-flows-generation-with-deep-neural-networks-and-geographic-information-2012.00489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-gravity-enhancing-mobility-flows-generation-with-deep-neural-networks-and-geographic-information-2012.00489"/></url>
<url><loc>https://scifaro.com/en/abs/problems-of-representation-of-electrocardiograms-in-convolutional-neural-networks-2012.00493</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/problems-of-representation-of-electrocardiograms-in-convolutional-neural-networks-2012.00493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/problems-of-representation-of-electrocardiograms-in-convolutional-neural-networks-2012.00493"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-drifting-features-2012.00499</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-drifting-features-2012.00499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-drifting-features-2012.00499"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-vae-as-a-predictive-brain-model-for-out-of-distribution-generalization-2012.00557</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-vae-as-a-predictive-brain-model-for-out-of-distribution-generalization-2012.00557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-vae-as-a-predictive-brain-model-for-out-of-distribution-generalization-2012.00557"/></url>
<url><loc>https://scifaro.com/en/abs/quick-and-robust-feature-selection-the-strength-of-energy-efficient-sparse-training-for-autoencoders-2012.00560</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quick-and-robust-feature-selection-the-strength-of-energy-efficient-sparse-training-for-autoencoders-2012.00560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quick-and-robust-feature-selection-the-strength-of-energy-efficient-sparse-training-for-autoencoders-2012.00560"/></url>
<url><loc>https://scifaro.com/en/abs/train-tracks-with-gaps-applying-the-probabilistic-method-to-trains-2012.00589</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/train-tracks-with-gaps-applying-the-probabilistic-method-to-trains-2012.00589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/train-tracks-with-gaps-applying-the-probabilistic-method-to-trains-2012.00589"/></url>
<url><loc>https://scifaro.com/en/abs/npas-a-compiler-aware-framework-of-unified-network-pruning-and-architecture-search-for-beyond-real-time-mobile-acceleration-2012.00596</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/npas-a-compiler-aware-framework-of-unified-network-pruning-and-architecture-search-for-beyond-real-time-mobile-acceleration-2012.00596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/npas-a-compiler-aware-framework-of-unified-network-pruning-and-architecture-search-for-beyond-real-time-mobile-acceleration-2012.00596"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-federated-distillation-2012.00632</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-federated-distillation-2012.00632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-federated-distillation-2012.00632"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-disentangled-latent-factors-from-paired-data-in-cross-modal-retrieval-an-implicit-identifiable-vae-approach-2012.00682</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-disentangled-latent-factors-from-paired-data-in-cross-modal-retrieval-an-implicit-identifiable-vae-approach-2012.00682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-disentangled-latent-factors-from-paired-data-in-cross-modal-retrieval-an-implicit-identifiable-vae-approach-2012.00682"/></url>
<url><loc>https://scifaro.com/en/abs/simulating-surface-wave-dynamics-with-convolutional-networks-2012.00718</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulating-surface-wave-dynamics-with-convolutional-networks-2012.00718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulating-surface-wave-dynamics-with-convolutional-networks-2012.00718"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-and-accelerating-coverage-in-deep-reinforcement-learning-2012.00724</loc><lastmod>2020-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-and-accelerating-coverage-in-deep-reinforcement-learning-2012.00724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-and-accelerating-coverage-in-deep-reinforcement-learning-2012.00724"/></url>
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<url><loc>https://scifaro.com/en/abs/stochastic-approximation-with-markov-noise-analysis-and-applications-in-reinforcement-learning-2012.00805</loc><lastmod>2020-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-approximation-with-markov-noise-analysis-and-applications-in-reinforcement-learning-2012.00805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-approximation-with-markov-noise-analysis-and-applications-in-reinforcement-learning-2012.00805"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-maximum-entropy-inverse-reinforcement-learning-new-perspectives-and-algorithms-2012.00889</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-maximum-entropy-inverse-reinforcement-learning-new-perspectives-and-algorithms-2012.00889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-maximum-entropy-inverse-reinforcement-learning-new-perspectives-and-algorithms-2012.00889"/></url>
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<url><loc>https://scifaro.com/en/abs/seminll-a-framework-of-noisy-label-learning-by-semi-supervised-learning-2012.00925</loc><lastmod>2020-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seminll-a-framework-of-noisy-label-learning-by-semi-supervised-learning-2012.00925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seminll-a-framework-of-noisy-label-learning-by-semi-supervised-learning-2012.00925"/></url>
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<url><loc>https://scifaro.com/en/abs/self-correcting-q-learning-2012.01100</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-correcting-q-learning-2012.01100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-correcting-q-learning-2012.01100"/></url>
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<url><loc>https://scifaro.com/en/abs/algebraically-informed-deep-networks-aidn-a-deep-learning-approach-to-represent-algebraic-structures-2012.01141</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algebraically-informed-deep-networks-aidn-a-deep-learning-approach-to-represent-algebraic-structures-2012.01141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algebraically-informed-deep-networks-aidn-a-deep-learning-approach-to-represent-algebraic-structures-2012.01141"/></url>
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<url><loc>https://scifaro.com/en/abs/visevol-visual-analytics-to-support-hyperparameter-search-through-evolutionary-optimization-2012.01205</loc><lastmod>2024-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visevol-visual-analytics-to-support-hyperparameter-search-through-evolutionary-optimization-2012.01205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visevol-visual-analytics-to-support-hyperparameter-search-through-evolutionary-optimization-2012.01205"/></url>
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<url><loc>https://scifaro.com/en/abs/from-one-to-all-learning-to-match-heterogeneous-and-partially-overlapped-graphs-2012.01252</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-one-to-all-learning-to-match-heterogeneous-and-partially-overlapped-graphs-2012.01252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-one-to-all-learning-to-match-heterogeneous-and-partially-overlapped-graphs-2012.01252"/></url>
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<url><loc>https://scifaro.com/en/abs/pareto-deterministic-policy-gradients-and-its-application-in-5g-massive-mimo-networks-2012.01279</loc><lastmod>2020-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pareto-deterministic-policy-gradients-and-its-application-in-5g-massive-mimo-networks-2012.01279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pareto-deterministic-policy-gradients-and-its-application-in-5g-massive-mimo-networks-2012.01279"/></url>
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<url><loc>https://scifaro.com/en/abs/the-self-simplifying-machine-exploiting-the-structure-of-piecewise-linear-neural-networks-to-create-interpretable-models-2012.01293</loc><lastmod>2020-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-self-simplifying-machine-exploiting-the-structure-of-piecewise-linear-neural-networks-to-create-interpretable-models-2012.01293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-self-simplifying-machine-exploiting-the-structure-of-piecewise-linear-neural-networks-to-create-interpretable-models-2012.01293"/></url>
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<url><loc>https://scifaro.com/en/abs/improved-contrastive-divergence-training-of-energy-based-models-2012.01316</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-contrastive-divergence-training-of-energy-based-models-2012.01316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-contrastive-divergence-training-of-energy-based-models-2012.01316"/></url>
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<url><loc>https://scifaro.com/en/abs/distributed-machine-learning-for-wireless-communication-networks-techniques-architectures-and-applications-2012.01489</loc><lastmod>2020-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-machine-learning-for-wireless-communication-networks-techniques-architectures-and-applications-2012.01489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-machine-learning-for-wireless-communication-networks-techniques-architectures-and-applications-2012.01489"/></url>
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<url><loc>https://scifaro.com/en/abs/interpretability-and-explainability-a-machine-learning-zoo-mini-tour-2012.01805</loc><lastmod>2023-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretability-and-explainability-a-machine-learning-zoo-mini-tour-2012.01805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretability-and-explainability-a-machine-learning-zoo-mini-tour-2012.01805"/></url>
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<url><loc>https://scifaro.com/en/abs/towards-repairing-neural-networks-correctly-2012.01872</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-repairing-neural-networks-correctly-2012.01872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-repairing-neural-networks-correctly-2012.01872"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-interpretable-concept-based-models-with-human-feedback-2012.02898</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-interpretable-concept-based-models-with-human-feedback-2012.02898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-interpretable-concept-based-models-with-human-feedback-2012.02898"/></url>
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<url><loc>https://scifaro.com/en/abs/empirical-observation-of-negligible-fairness-accuracy-trade-offs-in-machine-learning-for-public-policy-2012.02972</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-observation-of-negligible-fairness-accuracy-trade-offs-in-machine-learning-for-public-policy-2012.02972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-observation-of-negligible-fairness-accuracy-trade-offs-in-machine-learning-for-public-policy-2012.02972"/></url>
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<url><loc>https://scifaro.com/en/abs/mfes-hb-efficient-hyperband-with-multi-fidelity-quality-measurements-2012.03011</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mfes-hb-efficient-hyperband-with-multi-fidelity-quality-measurements-2012.03011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mfes-hb-efficient-hyperband-with-multi-fidelity-quality-measurements-2012.03011"/></url>
<url><loc>https://scifaro.com/en/abs/a-three-layer-neural-network-can-represent-any-multivariate-function-2012.03016</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-three-layer-neural-network-can-represent-any-multivariate-function-2012.03016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-three-layer-neural-network-can-represent-any-multivariate-function-2012.03016"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-deep-learning-with-noisy-labels-how-to-train-your-model-when-you-cannot-trust-on-the-annotations-2012.03061</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-deep-learning-with-noisy-labels-how-to-train-your-model-when-you-cannot-trust-on-the-annotations-2012.03061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-deep-learning-with-noisy-labels-how-to-train-your-model-when-you-cannot-trust-on-the-annotations-2012.03061"/></url>
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<url><loc>https://scifaro.com/en/abs/fairod-fairness-aware-outlier-detection-2012.03063</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairod-fairness-aware-outlier-detection-2012.03063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairod-fairness-aware-outlier-detection-2012.03063"/></url>
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<url><loc>https://scifaro.com/en/abs/the-hidden-uncertainty-in-a-neural-networks-activations-2012.03082</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-hidden-uncertainty-in-a-neural-networks-activations-2012.03082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-hidden-uncertainty-in-a-neural-networks-activations-2012.03082"/></url>
<url><loc>https://scifaro.com/en/abs/graph-mixture-density-networks-2012.03085</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-mixture-density-networks-2012.03085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-mixture-density-networks-2012.03085"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-interpretability-by-generalized-distillation-in-supervised-classification-2012.03089</loc><lastmod>2024-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-interpretability-by-generalized-distillation-in-supervised-classification-2012.03089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-interpretability-by-generalized-distillation-in-supervised-classification-2012.03089"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-blockwise-knowledge-distillation-for-deep-neural-network-compression-2012.03096</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-blockwise-knowledge-distillation-for-deep-neural-network-compression-2012.03096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-blockwise-knowledge-distillation-for-deep-neural-network-compression-2012.03096"/></url>
<url><loc>https://scifaro.com/en/abs/when-do-curricula-work-2012.03107</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-do-curricula-work-2012.03107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-do-curricula-work-2012.03107"/></url>
<url><loc>https://scifaro.com/en/abs/recent-developments-in-boolean-matrix-factorization-2012.03127</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recent-developments-in-boolean-matrix-factorization-2012.03127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recent-developments-in-boolean-matrix-factorization-2012.03127"/></url>
<url><loc>https://scifaro.com/en/abs/learning-poisson-systems-and-trajectories-of-autonomous-systems-via-poisson-neural-networks-2012.03133</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-poisson-systems-and-trajectories-of-autonomous-systems-via-poisson-neural-networks-2012.03133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-poisson-systems-and-trajectories-of-autonomous-systems-via-poisson-neural-networks-2012.03133"/></url>
<url><loc>https://scifaro.com/en/abs/deep-archimedean-copulas-2012.03137</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-archimedean-copulas-2012.03137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-archimedean-copulas-2012.03137"/></url>
<url><loc>https://scifaro.com/en/abs/biclustering-and-boolean-matrix-factorization-in-data-streams-2012.03138</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biclustering-and-boolean-matrix-factorization-in-data-streams-2012.03138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biclustering-and-boolean-matrix-factorization-in-data-streams-2012.03138"/></url>
<url><loc>https://scifaro.com/en/abs/selective-eye-gaze-augmentation-to-enhance-imitation-learning-in-atari-games-2012.03145</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-eye-gaze-augmentation-to-enhance-imitation-learning-in-atari-games-2012.03145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-eye-gaze-augmentation-to-enhance-imitation-learning-in-atari-games-2012.03145"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-weighted-discriminator-for-training-generative-adversarial-networks-2012.03149</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-weighted-discriminator-for-training-generative-adversarial-networks-2012.03149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-weighted-discriminator-for-training-generative-adversarial-networks-2012.03149"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-multi-agent-meta-learning-for-trajectory-design-in-wireless-drone-networks-2012.03158</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-multi-agent-meta-learning-for-trajectory-design-in-wireless-drone-networks-2012.03158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-multi-agent-meta-learning-for-trajectory-design-in-wireless-drone-networks-2012.03158"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-robust-deep-auc-maximization-a-new-surrogate-loss-and-empirical-studies-on-medical-image-classification-2012.03173</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-robust-deep-auc-maximization-a-new-surrogate-loss-and-empirical-studies-on-medical-image-classification-2012.03173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-robust-deep-auc-maximization-a-new-surrogate-loss-and-empirical-studies-on-medical-image-classification-2012.03173"/></url>
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<url><loc>https://scifaro.com/en/abs/probabilistic-federated-learning-of-neural-networks-incorporated-with-global-posterior-information-2012.03178</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-federated-learning-of-neural-networks-incorporated-with-global-posterior-information-2012.03178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-federated-learning-of-neural-networks-incorporated-with-global-posterior-information-2012.03178"/></url>
<url><loc>https://scifaro.com/en/abs/representaciones-del-aprendizaje-reutilizando-los-gradientes-de-la-retropropagacion-2012.03188</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representaciones-del-aprendizaje-reutilizando-los-gradientes-de-la-retropropagacion-2012.03188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representaciones-del-aprendizaje-reutilizando-los-gradientes-de-la-retropropagacion-2012.03188"/></url>
<url><loc>https://scifaro.com/en/abs/tornadoaggregate-accurate-and-scalable-federated-learning-via-the-ring-based-architecture-2012.03214</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tornadoaggregate-accurate-and-scalable-federated-learning-via-the-ring-based-architecture-2012.03214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tornadoaggregate-accurate-and-scalable-federated-learning-via-the-ring-based-architecture-2012.03214"/></url>
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<url><loc>https://scifaro.com/en/abs/deep-transfer-learning-for-industrial-automation-a-review-and-discussion-of-new-techniques-for-data-driven-machine-learning-2012.03301</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-transfer-learning-for-industrial-automation-a-review-and-discussion-of-new-techniques-for-data-driven-machine-learning-2012.03301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-transfer-learning-for-industrial-automation-a-review-and-discussion-of-new-techniques-for-data-driven-machine-learning-2012.03301"/></url>
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<url><loc>https://scifaro.com/en/abs/the-neural-coding-framework-for-learning-generative-models-2012.03405</loc><lastmod>2022-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-neural-coding-framework-for-learning-generative-models-2012.03405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-neural-coding-framework-for-learning-generative-models-2012.03405"/></url>
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<url><loc>https://scifaro.com/en/abs/euclidean-norm-induced-schatten-p-quasi-norm-regularization-for-low-rank-tensor-completion-and-tensor-robust-principal-component-analysis-2012.03436</loc><lastmod>2023-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/euclidean-norm-induced-schatten-p-quasi-norm-regularization-for-low-rank-tensor-completion-and-tensor-robust-principal-component-analysis-2012.03436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/euclidean-norm-induced-schatten-p-quasi-norm-regularization-for-low-rank-tensor-completion-and-tensor-robust-principal-component-analysis-2012.03436"/></url>
<url><loc>https://scifaro.com/en/abs/mfst-a-python-openfst-wrapper-with-support-for-custom-semirings-and-jupyter-notebooks-2012.03437</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mfst-a-python-openfst-wrapper-with-support-for-custom-semirings-and-jupyter-notebooks-2012.03437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mfst-a-python-openfst-wrapper-with-support-for-custom-semirings-and-jupyter-notebooks-2012.03437"/></url>
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<url><loc>https://scifaro.com/en/abs/stronger-calibration-lower-bounds-via-sidestepping-2012.03454</loc><lastmod>2023-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stronger-calibration-lower-bounds-via-sidestepping-2012.03454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stronger-calibration-lower-bounds-via-sidestepping-2012.03454"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-network-training-without-multiplications-2012.03458</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-training-without-multiplications-2012.03458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-training-without-multiplications-2012.03458"/></url>
<url><loc>https://scifaro.com/en/abs/reprogramming-language-models-for-molecular-representation-learning-2012.03460</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reprogramming-language-models-for-molecular-representation-learning-2012.03460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reprogramming-language-models-for-molecular-representation-learning-2012.03460"/></url>
<url><loc>https://scifaro.com/en/abs/ncgnn-node-level-capsule-graph-neural-network-for-semisupervised-classification-2012.03476</loc><lastmod>2022-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ncgnn-node-level-capsule-graph-neural-network-for-semisupervised-classification-2012.03476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ncgnn-node-level-capsule-graph-neural-network-for-semisupervised-classification-2012.03476"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-separate-clusters-of-adversarial-representations-for-robust-adversarial-detection-2012.03483</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-separate-clusters-of-adversarial-representations-for-robust-adversarial-detection-2012.03483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-separate-clusters-of-adversarial-representations-for-robust-adversarial-detection-2012.03483"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-policy-optimization-with-approximatively-synchronous-advantage-estimation-2012.03488</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-policy-optimization-with-approximatively-synchronous-advantage-estimation-2012.03488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-policy-optimization-with-approximatively-synchronous-advantage-estimation-2012.03488"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-local-bayesian-optimization-over-multiple-discrete-variables-2012.03501</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-local-bayesian-optimization-over-multiple-discrete-variables-2012.03501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-local-bayesian-optimization-over-multiple-discrete-variables-2012.03501"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-structure-learning-through-graph-neural-network-for-forecasting-soil-moisture-in-precision-agriculture-2012.03506</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-structure-learning-through-graph-neural-network-for-forecasting-soil-moisture-in-precision-agriculture-2012.03506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-structure-learning-through-graph-neural-network-for-forecasting-soil-moisture-in-precision-agriculture-2012.03506"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-deep-learning-for-entity-resolution-by-risk-analysis-2012.03513</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-deep-learning-for-entity-resolution-by-risk-analysis-2012.03513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-deep-learning-for-entity-resolution-by-risk-analysis-2012.03513"/></url>
<url><loc>https://scifaro.com/en/abs/backpropagating-linearly-improves-transferability-of-adversarial-examples-2012.03528</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backpropagating-linearly-improves-transferability-of-adversarial-examples-2012.03528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backpropagating-linearly-improves-transferability-of-adversarial-examples-2012.03528"/></url>
<url><loc>https://scifaro.com/en/abs/why-unsupervised-deep-networks-generalize-2012.03531</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-unsupervised-deep-networks-generalize-2012.03531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-unsupervised-deep-networks-generalize-2012.03531"/></url>
<url><loc>https://scifaro.com/en/abs/deep-policy-networks-for-npc-behaviors-that-adapt-to-changing-design-parameters-in-roguelike-games-2012.03532</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-policy-networks-for-npc-behaviors-that-adapt-to-changing-design-parameters-in-roguelike-games-2012.03532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-policy-networks-for-npc-behaviors-that-adapt-to-changing-design-parameters-in-roguelike-games-2012.03532"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-and-scalable-structure-learning-for-bayesian-networks-algorithms-and-applications-2012.03540</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-and-scalable-structure-learning-for-bayesian-networks-algorithms-and-applications-2012.03540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-and-scalable-structure-learning-for-bayesian-networks-algorithms-and-applications-2012.03540"/></url>
<url><loc>https://scifaro.com/en/abs/space-filling-subset-selection-for-an-electric-battery-model-2012.03541</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/space-filling-subset-selection-for-an-electric-battery-model-2012.03541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/space-filling-subset-selection-for-an-electric-battery-model-2012.03541"/></url>
<url><loc>https://scifaro.com/en/abs/reset-free-lifelong-learning-with-skill-space-planning-2012.03548</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reset-free-lifelong-learning-with-skill-space-planning-2012.03548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reset-free-lifelong-learning-with-skill-space-planning-2012.03548"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-automated-machine-learning-for-text-classification-evaluation-of-automl-tools-and-comparison-with-human-performance-2012.03575</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-automated-machine-learning-for-text-classification-evaluation-of-automl-tools-and-comparison-with-human-performance-2012.03575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-automated-machine-learning-for-text-classification-evaluation-of-automl-tools-and-comparison-with-human-performance-2012.03575"/></url>
<url><loc>https://scifaro.com/en/abs/lcs-graph-kernel-based-on-wasserstein-distance-in-longest-common-subsequence-metric-space-2012.03612</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lcs-graph-kernel-based-on-wasserstein-distance-in-longest-common-subsequence-metric-space-2012.03612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lcs-graph-kernel-based-on-wasserstein-distance-in-longest-common-subsequence-metric-space-2012.03612"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-kernels-for-large-scale-earth-observation-applications-2012.03630</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-kernels-for-large-scale-earth-observation-applications-2012.03630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-kernels-for-large-scale-earth-observation-applications-2012.03630"/></url>
<url><loc>https://scifaro.com/en/abs/exploitation-of-channel-learning-for-enhancing-5g-blind-beam-index-detection-2012.03631</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploitation-of-channel-learning-for-enhancing-5g-blind-beam-index-detection-2012.03631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploitation-of-channel-learning-for-enhancing-5g-blind-beam-index-detection-2012.03631"/></url>
<url><loc>https://scifaro.com/en/abs/generalised-perceptron-learning-2012.03642</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalised-perceptron-learning-2012.03642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalised-perceptron-learning-2012.03642"/></url>
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<url><loc>https://scifaro.com/en/abs/trace-early-detection-of-chronic-kidney-disease-onset-with-transformer-enhanced-feature-embedding-2012.03729</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trace-early-detection-of-chronic-kidney-disease-onset-with-transformer-enhanced-feature-embedding-2012.03729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trace-early-detection-of-chronic-kidney-disease-onset-with-transformer-enhanced-feature-embedding-2012.03729"/></url>
<url><loc>https://scifaro.com/en/abs/computing-flood-probabilities-using-twitter-application-to-the-houston-urban-area-during-harvey-2012.03731</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-flood-probabilities-using-twitter-application-to-the-houston-urban-area-during-harvey-2012.03731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-flood-probabilities-using-twitter-application-to-the-houston-urban-area-during-harvey-2012.03731"/></url>
<url><loc>https://scifaro.com/en/abs/accumulated-decoupled-learning-mitigating-gradient-staleness-in-inter-layer-model-parallelization-2012.03747</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accumulated-decoupled-learning-mitigating-gradient-staleness-in-inter-layer-model-parallelization-2012.03747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accumulated-decoupled-learning-mitigating-gradient-staleness-in-inter-layer-model-parallelization-2012.03747"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-to-extrapolate-using-continued-fractions-predicting-the-critical-temperature-of-superconductor-materials-2012.03774</loc><lastmod>2023-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-extrapolate-using-continued-fractions-predicting-the-critical-temperature-of-superconductor-materials-2012.03774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-extrapolate-using-continued-fractions-predicting-the-critical-temperature-of-superconductor-materials-2012.03774"/></url>
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<url><loc>https://scifaro.com/en/abs/a-predictive-model-for-kidney-transplant-graft-survival-using-machine-learning-2012.03787</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-predictive-model-for-kidney-transplant-graft-survival-using-machine-learning-2012.03787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-predictive-model-for-kidney-transplant-graft-survival-using-machine-learning-2012.03787"/></url>
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<url><loc>https://scifaro.com/en/abs/perfect-density-models-cannot-guarantee-anomaly-detection-2012.03808</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perfect-density-models-cannot-guarantee-anomaly-detection-2012.03808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perfect-density-models-cannot-guarantee-anomaly-detection-2012.03808"/></url>
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<url><loc>https://scifaro.com/en/abs/efficient-reservoir-management-through-deep-reinforcement-learning-2012.03822</loc><lastmod>2020-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-reservoir-management-through-deep-reinforcement-learning-2012.03822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-reservoir-management-through-deep-reinforcement-learning-2012.03822"/></url>
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<url><loc>https://scifaro.com/en/abs/an-autoencoder-wavelet-based-deep-neural-network-with-attention-mechanism-for-multistep-prediction-of-plant-growth-2012.04041</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-autoencoder-wavelet-based-deep-neural-network-with-attention-mechanism-for-multistep-prediction-of-plant-growth-2012.04041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-autoencoder-wavelet-based-deep-neural-network-with-attention-mechanism-for-multistep-prediction-of-plant-growth-2012.04041"/></url>
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<url><loc>https://scifaro.com/en/abs/removing-spurious-features-can-hurt-accuracy-and-affect-groups-disproportionately-2012.04104</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/removing-spurious-features-can-hurt-accuracy-and-affect-groups-disproportionately-2012.04104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/removing-spurious-features-can-hurt-accuracy-and-affect-groups-disproportionately-2012.04104"/></url>
<url><loc>https://scifaro.com/en/abs/the-tribes-of-machine-learning-and-the-realm-of-computer-architecture-2012.04105</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-tribes-of-machine-learning-and-the-realm-of-computer-architecture-2012.04105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-tribes-of-machine-learning-and-the-realm-of-computer-architecture-2012.04105"/></url>
<url><loc>https://scifaro.com/en/abs/deep-energy-based-narx-models-2012.04136</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-energy-based-narx-models-2012.04136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-energy-based-narx-models-2012.04136"/></url>
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<url><loc>https://scifaro.com/en/abs/sparse-encoding-for-more-interpretable-feature-selecting-representations-in-probabilistic-matrix-factorization-2012.04171</loc><lastmod>2024-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-encoding-for-more-interpretable-feature-selecting-representations-in-probabilistic-matrix-factorization-2012.04171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-encoding-for-more-interpretable-feature-selecting-representations-in-probabilistic-matrix-factorization-2012.04171"/></url>
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<url><loc>https://scifaro.com/en/abs/robustness-of-accuracy-metric-and-its-inspirations-in-learning-with-noisy-labels-2012.04193</loc><lastmod>2020-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-of-accuracy-metric-and-its-inspirations-in-learning-with-noisy-labels-2012.04193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-of-accuracy-metric-and-its-inspirations-in-learning-with-noisy-labels-2012.04193"/></url>
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<url><loc>https://scifaro.com/en/abs/active-learning-problem-settings-and-recent-developments-2012.04225</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-problem-settings-and-recent-developments-2012.04225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-problem-settings-and-recent-developments-2012.04225"/></url>
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<url><loc>https://scifaro.com/en/abs/methodology-for-mining-discovering-and-analyzing-semantic-human-mobility-behaviors-2012.04767</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/methodology-for-mining-discovering-and-analyzing-semantic-human-mobility-behaviors-2012.04767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/methodology-for-mining-discovering-and-analyzing-semantic-human-mobility-behaviors-2012.04767"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-driven-analytical-framework-of-estimating-multimodal-travel-demand-patterns-using-mobile-device-location-data-2012.04776</loc><lastmod>2020-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-driven-analytical-framework-of-estimating-multimodal-travel-demand-patterns-using-mobile-device-location-data-2012.04776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-driven-analytical-framework-of-estimating-multimodal-travel-demand-patterns-using-mobile-device-location-data-2012.04776"/></url>
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<url><loc>https://scifaro.com/en/abs/metainfonet-learning-task-guided-information-for-sample-reweighting-2012.05273</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metainfonet-learning-task-guided-information-for-sample-reweighting-2012.05273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metainfonet-learning-task-guided-information-for-sample-reweighting-2012.05273"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-oracle-inequalities-for-solving-projected-fixed-point-equations-2012.05299</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-oracle-inequalities-for-solving-projected-fixed-point-equations-2012.05299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-oracle-inequalities-for-solving-projected-fixed-point-equations-2012.05299"/></url>
<url><loc>https://scifaro.com/en/abs/securing-deep-spiking-neural-networks-against-adversarial-attacks-through-inherent-structural-parameters-2012.05321</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/securing-deep-spiking-neural-networks-against-adversarial-attacks-through-inherent-structural-parameters-2012.05321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/securing-deep-spiking-neural-networks-against-adversarial-attacks-through-inherent-structural-parameters-2012.05321"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-disease-progression-trajectories-from-longitudinal-observational-data-2012.05324</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-disease-progression-trajectories-from-longitudinal-observational-data-2012.05324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-disease-progression-trajectories-from-longitudinal-observational-data-2012.05324"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-amplification-by-decentralization-2012.05326</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-amplification-by-decentralization-2012.05326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-amplification-by-decentralization-2012.05326"/></url>
<url><loc>https://scifaro.com/en/abs/know-your-limits-uncertainty-estimation-with-relu-classifiers-fails-at-reliable-ood-detection-2012.05329</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/know-your-limits-uncertainty-estimation-with-relu-classifiers-fails-at-reliable-ood-detection-2012.05329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/know-your-limits-uncertainty-estimation-with-relu-classifiers-fails-at-reliable-ood-detection-2012.05329"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-predictive-coding-for-human-activity-recognition-2012.05333</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-predictive-coding-for-human-activity-recognition-2012.05333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-predictive-coding-for-human-activity-recognition-2012.05333"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-efficient-iterative-safety-validation-2012.05336</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-efficient-iterative-safety-validation-2012.05336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-efficient-iterative-safety-validation-2012.05336"/></url>
<url><loc>https://scifaro.com/en/abs/neural-rate-control-for-video-encoding-using-imitation-learning-2012.05339</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-rate-control-for-video-encoding-using-imitation-learning-2012.05339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-rate-control-for-video-encoding-using-imitation-learning-2012.05339"/></url>
<url><loc>https://scifaro.com/en/abs/data-and-its-dis-contents-a-survey-of-dataset-development-and-use-in-machine-learning-research-2012.05345</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-and-its-dis-contents-a-survey-of-dataset-development-and-use-in-machine-learning-research-2012.05345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-and-its-dis-contents-a-survey-of-dataset-development-and-use-in-machine-learning-research-2012.05345"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmically-consistent-deep-learning-frameworks-for-structural-topology-optimization-2012.05359</loc><lastmod>2022-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmically-consistent-deep-learning-frameworks-for-structural-topology-optimization-2012.05359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmically-consistent-deep-learning-frameworks-for-structural-topology-optimization-2012.05359"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-squared-a-meta-automl-system-2012.05390</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-squared-a-meta-automl-system-2012.05390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-squared-a-meta-automl-system-2012.05390"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-intersection-management-solutions-for-mixed-traffic-of-human-driven-and-connected-and-automated-vehicles-2012.05402</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-intersection-management-solutions-for-mixed-traffic-of-human-driven-and-connected-and-automated-vehicles-2012.05402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-intersection-management-solutions-for-mixed-traffic-of-human-driven-and-connected-and-automated-vehicles-2012.05402"/></url>
<url><loc>https://scifaro.com/en/abs/research-challenges-in-designing-differentially-private-text-generation-mechanisms-2012.05403</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/research-challenges-in-designing-differentially-private-text-generation-mechanisms-2012.05403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/research-challenges-in-designing-differentially-private-text-generation-mechanisms-2012.05403"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-asynchronous-method-for-integrating-evolutionary-and-gradient-based-policy-search-2012.05417</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-asynchronous-method-for-integrating-evolutionary-and-gradient-based-policy-search-2012.05417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-asynchronous-method-for-integrating-evolutionary-and-gradient-based-policy-search-2012.05417"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-emergence-of-simplex-symmetry-in-the-final-and-penultimate-layers-of-neural-network-classifiers-2012.05420</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-emergence-of-simplex-symmetry-in-the-final-and-penultimate-layers-of-neural-network-classifiers-2012.05420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-emergence-of-simplex-symmetry-in-the-final-and-penultimate-layers-of-neural-network-classifiers-2012.05420"/></url>
<url><loc>https://scifaro.com/en/abs/communication-computation-efficient-secure-aggregation-for-federated-learning-2012.05433</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-computation-efficient-secure-aggregation-for-federated-learning-2012.05433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-computation-efficient-secure-aggregation-for-federated-learning-2012.05433"/></url>
<url><loc>https://scifaro.com/en/abs/the-representation-power-of-neural-networks-breaking-the-curse-of-dimensionality-2012.05451</loc><lastmod>2021-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-representation-power-of-neural-networks-breaking-the-curse-of-dimensionality-2012.05451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-representation-power-of-neural-networks-breaking-the-curse-of-dimensionality-2012.05451"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-class-conditional-assumption-a-primary-attempt-to-combat-instance-dependent-label-noise-2012.05458</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-class-conditional-assumption-a-primary-attempt-to-combat-instance-dependent-label-noise-2012.05458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-class-conditional-assumption-a-primary-attempt-to-combat-instance-dependent-label-noise-2012.05458"/></url>
<url><loc>https://scifaro.com/en/abs/se-ecgnet-a-multi-scale-deep-residual-network-with-squeeze-and-excitation-module-for-ecg-signal-classification-2012.05510</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/se-ecgnet-a-multi-scale-deep-residual-network-with-squeeze-and-excitation-module-for-ecg-signal-classification-2012.05510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/se-ecgnet-a-multi-scale-deep-residual-network-with-squeeze-and-excitation-module-for-ecg-signal-classification-2012.05510"/></url>
<url><loc>https://scifaro.com/en/abs/recurrence-of-optimum-for-training-weight-and-activation-quantized-networks-2012.05529</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrence-of-optimum-for-training-weight-and-activation-quantized-networks-2012.05529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrence-of-optimum-for-training-weight-and-activation-quantized-networks-2012.05529"/></url>
<url><loc>https://scifaro.com/en/abs/categorical-perception-a-groundwork-for-deep-learning-2012.05549</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/categorical-perception-a-groundwork-for-deep-learning-2012.05549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/categorical-perception-a-groundwork-for-deep-learning-2012.05549"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-generative-data-free-distillation-2012.05578</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-generative-data-free-distillation-2012.05578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-generative-data-free-distillation-2012.05578"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-and-optimal-edge-assignment-for-hierarchical-federated-learning-on-non-iid-data-2012.05622</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-and-optimal-edge-assignment-for-hierarchical-federated-learning-on-non-iid-data-2012.05622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-and-optimal-edge-assignment-for-hierarchical-federated-learning-on-non-iid-data-2012.05622"/></url>
<url><loc>https://scifaro.com/en/abs/done-distributed-approximate-newton-type-method-for-federated-edge-learning-2012.05625</loc><lastmod>2022-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/done-distributed-approximate-newton-type-method-for-federated-edge-learning-2012.05625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/done-distributed-approximate-newton-type-method-for-federated-edge-learning-2012.05625"/></url>
<url><loc>https://scifaro.com/en/abs/denoising-based-turbo-message-passing-for-compressed-video-background-subtraction-2012.05626</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/denoising-based-turbo-message-passing-for-compressed-video-background-subtraction-2012.05626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/denoising-based-turbo-message-passing-for-compressed-video-background-subtraction-2012.05626"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-arrhythmia-detection-based-on-deep-convolutional-neural-network-2012.05641</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-arrhythmia-detection-based-on-deep-convolutional-neural-network-2012.05641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-arrhythmia-detection-based-on-deep-convolutional-neural-network-2012.05641"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graphons-via-structured-gromov-wasserstein-barycenters-2012.05644</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graphons-via-structured-gromov-wasserstein-barycenters-2012.05644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graphons-via-structured-gromov-wasserstein-barycenters-2012.05644"/></url>
<url><loc>https://scifaro.com/en/abs/hpgan-sequence-search-with-generative-adversarial-networks-2012.05645</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hpgan-sequence-search-with-generative-adversarial-networks-2012.05645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hpgan-sequence-search-with-generative-adversarial-networks-2012.05645"/></url>
<url><loc>https://scifaro.com/en/abs/slimmable-generative-adversarial-networks-2012.05660</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slimmable-generative-adversarial-networks-2012.05660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slimmable-generative-adversarial-networks-2012.05660"/></url>
<url><loc>https://scifaro.com/en/abs/factor-graph-molecule-network-for-structure-elucidation-2012.05665</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factor-graph-molecule-network-for-structure-elucidation-2012.05665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factor-graph-molecule-network-for-structure-elucidation-2012.05665"/></url>
<url><loc>https://scifaro.com/en/abs/imitating-interactive-intelligence-2012.05672</loc><lastmod>2021-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitating-interactive-intelligence-2012.05672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitating-interactive-intelligence-2012.05672"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-point-review-models-2012.05684</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-point-review-models-2012.05684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-point-review-models-2012.05684"/></url>
<url><loc>https://scifaro.com/en/abs/generative-deep-learning-techniques-for-password-generation-2012.05685</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-deep-learning-techniques-for-password-generation-2012.05685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-deep-learning-techniques-for-password-generation-2012.05685"/></url>
<url><loc>https://scifaro.com/en/abs/gda-hin-a-generalized-domain-adaptive-model-across-heterogeneous-information-networks-2012.05688</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gda-hin-a-generalized-domain-adaptive-model-across-heterogeneous-information-networks-2012.05688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gda-hin-a-generalized-domain-adaptive-model-across-heterogeneous-information-networks-2012.05688"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-micro-sleep-detection-under-car-driving-simulation-environment-using-night-sleep-eeg-2012.05705</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-micro-sleep-detection-under-car-driving-simulation-environment-using-night-sleep-eeg-2012.05705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-micro-sleep-detection-under-car-driving-simulation-environment-using-night-sleep-eeg-2012.05705"/></url>
<url><loc>https://scifaro.com/en/abs/using-differentiable-programming-for-flexible-statistical-modeling-2012.05722</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-differentiable-programming-for-flexible-statistical-modeling-2012.05722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-differentiable-programming-for-flexible-statistical-modeling-2012.05722"/></url>
<url><loc>https://scifaro.com/en/abs/improving-healthcare-access-management-by-predicting-patient-no-show-behaviour-2012.05724</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-healthcare-access-management-by-predicting-patient-no-show-behaviour-2012.05724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-healthcare-access-management-by-predicting-patient-no-show-behaviour-2012.05724"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-and-interpretable-rule-based-link-prediction-for-large-heterogeneous-knowledge-graphs-2012.05750</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-and-interpretable-rule-based-link-prediction-for-large-heterogeneous-knowledge-graphs-2012.05750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-and-interpretable-rule-based-link-prediction-for-large-heterogeneous-knowledge-graphs-2012.05750"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-thompson-sampling-strategies-for-support-aware-cvar-bandits-2012.05754</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-thompson-sampling-strategies-for-support-aware-cvar-bandits-2012.05754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-thompson-sampling-strategies-for-support-aware-cvar-bandits-2012.05754"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-linear-contextual-bandits-with-graph-structured-side-observations-2012.05756</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-linear-contextual-bandits-with-graph-structured-side-observations-2012.05756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-linear-contextual-bandits-with-graph-structured-side-observations-2012.05756"/></url>
<url><loc>https://scifaro.com/en/abs/notes-on-deep-learning-theory-2012.05760</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/notes-on-deep-learning-theory-2012.05760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/notes-on-deep-learning-theory-2012.05760"/></url>
<url><loc>https://scifaro.com/en/abs/deep-cr-mtlr-a-multi-modal-approach-for-cancer-survival-prediction-with-competing-risks-2012.05765</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-cr-mtlr-a-multi-modal-approach-for-cancer-survival-prediction-with-competing-risks-2012.05765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-cr-mtlr-a-multi-modal-approach-for-cancer-survival-prediction-with-competing-risks-2012.05765"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-condition-numbers-for-first-order-optimization-2012.05782</loc><lastmod>2024-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-condition-numbers-for-first-order-optimization-2012.05782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-condition-numbers-for-first-order-optimization-2012.05782"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-damped-l-bfgs-with-controlled-norm-of-the-hessian-approximation-2012.05783</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-damped-l-bfgs-with-controlled-norm-of-the-hessian-approximation-2012.05783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-damped-l-bfgs-with-controlled-norm-of-the-hessian-approximation-2012.05783"/></url>
<url><loc>https://scifaro.com/en/abs/appliance-level-monitoring-with-micro-moment-smart-plugs-2012.05787</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/appliance-level-monitoring-with-micro-moment-smart-plugs-2012.05787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/appliance-level-monitoring-with-micro-moment-smart-plugs-2012.05787"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-novelty-detection-using-ensembles-with-regularized-disagreement-2012.05825</loc><lastmod>2022-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-novelty-detection-using-ensembles-with-regularized-disagreement-2012.05825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-novelty-detection-using-ensembles-with-regularized-disagreement-2012.05825"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-learned-reward-functions-2012.05862</loc><lastmod>2020-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-learned-reward-functions-2012.05862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-learned-reward-functions-2012.05862"/></url>
<url><loc>https://scifaro.com/en/abs/probing-few-shot-generalization-with-attributes-2012.05895</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probing-few-shot-generalization-with-attributes-2012.05895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probing-few-shot-generalization-with-attributes-2012.05895"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-method-for-estimating-aircraft-mass-from-quick-access-recorder-using-aircraft-dynamics-and-multilayer-perceptron-neural-network-2012.05907</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-method-for-estimating-aircraft-mass-from-quick-access-recorder-using-aircraft-dynamics-and-multilayer-perceptron-neural-network-2012.05907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-method-for-estimating-aircraft-mass-from-quick-access-recorder-using-aircraft-dynamics-and-multilayer-perceptron-neural-network-2012.05907"/></url>
<url><loc>https://scifaro.com/en/abs/blending-mpc-value-function-approximation-for-efficient-reinforcement-learning-2012.05909</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blending-mpc-value-function-approximation-for-efficient-reinforcement-learning-2012.05909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blending-mpc-value-function-approximation-for-efficient-reinforcement-learning-2012.05909"/></url>
<url><loc>https://scifaro.com/en/abs/a-simplistic-machine-learning-approach-to-contact-tracing-2012.05940</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simplistic-machine-learning-approach-to-contact-tracing-2012.05940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simplistic-machine-learning-approach-to-contact-tracing-2012.05940"/></url>
<url><loc>https://scifaro.com/en/abs/convex-potential-flows-universal-probability-distributions-with-optimal-transport-and-convex-optimization-2012.05942</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-potential-flows-universal-probability-distributions-with-optimal-transport-and-convex-optimization-2012.05942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-potential-flows-universal-probability-distributions-with-optimal-transport-and-convex-optimization-2012.05942"/></url>
<url><loc>https://scifaro.com/en/abs/commpool-an-interpretable-graph-pooling-framework-for-hierarchical-graph-representation-learning-2012.05980</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/commpool-an-interpretable-graph-pooling-framework-for-hierarchical-graph-representation-learning-2012.05980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/commpool-an-interpretable-graph-pooling-framework-for-hierarchical-graph-representation-learning-2012.05980"/></url>
<url><loc>https://scifaro.com/en/abs/certifying-incremental-quadratic-constraints-for-neural-networks-via-convex-optimization-2012.05981</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certifying-incremental-quadratic-constraints-for-neural-networks-via-convex-optimization-2012.05981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certifying-incremental-quadratic-constraints-for-neural-networks-via-convex-optimization-2012.05981"/></url>
<url><loc>https://scifaro.com/en/abs/an-iot-framework-for-heart-disease-prediction-based-on-mdcnn-classifier-2012.05999</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-iot-framework-for-heart-disease-prediction-based-on-mdcnn-classifier-2012.05999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-iot-framework-for-heart-disease-prediction-based-on-mdcnn-classifier-2012.05999"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-in-graph-neural-networks-2012.06002</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-in-graph-neural-networks-2012.06002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-in-graph-neural-networks-2012.06002"/></url>
<url><loc>https://scifaro.com/en/abs/performance-weighed-policy-sampling-for-meta-reinforcement-learning-2012.06016</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-weighed-policy-sampling-for-meta-reinforcement-learning-2012.06016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-weighed-policy-sampling-for-meta-reinforcement-learning-2012.06016"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-and-transferability-of-universal-attacks-on-compressed-models-2012.06024</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-and-transferability-of-universal-attacks-on-compressed-models-2012.06024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-and-transferability-of-universal-attacks-on-compressed-models-2012.06024"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-agents-for-ubisoft-s-roller-champions-2012.06031</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-agents-for-ubisoft-s-roller-champions-2012.06031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-agents-for-ubisoft-s-roller-champions-2012.06031"/></url>
<url><loc>https://scifaro.com/en/abs/data-based-discovery-of-governing-equations-2012.06036</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-based-discovery-of-governing-equations-2012.06036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-based-discovery-of-governing-equations-2012.06036"/></url>
<url><loc>https://scifaro.com/en/abs/provable-defense-against-privacy-leakage-in-federated-learning-from-representation-perspective-2012.06043</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-defense-against-privacy-leakage-in-federated-learning-from-representation-perspective-2012.06043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-defense-against-privacy-leakage-in-federated-learning-from-representation-perspective-2012.06043"/></url>
<url><loc>https://scifaro.com/en/abs/interactive-weak-supervision-learning-useful-heuristics-for-data-labeling-2012.06046</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interactive-weak-supervision-learning-useful-heuristics-for-data-labeling-2012.06046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interactive-weak-supervision-learning-useful-heuristics-for-data-labeling-2012.06046"/></url>
<url><loc>https://scifaro.com/en/abs/knn-classification-with-one-step-computation-2012.06047</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knn-classification-with-one-step-computation-2012.06047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knn-classification-with-one-step-computation-2012.06047"/></url>
<url><loc>https://scifaro.com/en/abs/interactive-search-based-on-deep-reinforcement-learning-2012.06052</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interactive-search-based-on-deep-reinforcement-learning-2012.06052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interactive-search-based-on-deep-reinforcement-learning-2012.06052"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-approach-for-matrix-completion-using-manifold-learning-2012.06063</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-approach-for-matrix-completion-using-manifold-learning-2012.06063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-approach-for-matrix-completion-using-manifold-learning-2012.06063"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-submodular-meta-learning-2012.06070</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-submodular-meta-learning-2012.06070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-submodular-meta-learning-2012.06070"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-bandit-optimization-generalization-to-h-older-space-2012.06076</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-bandit-optimization-generalization-to-h-older-space-2012.06076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-bandit-optimization-generalization-to-h-older-space-2012.06076"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-are-effective-at-learning-high-dimensional-hilbert-valued-functions-from-limited-data-2012.06081</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-are-effective-at-learning-high-dimensional-hilbert-valued-functions-from-limited-data-2012.06081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-are-effective-at-learning-high-dimensional-hilbert-valued-functions-from-limited-data-2012.06081"/></url>
<url><loc>https://scifaro.com/en/abs/generative-learning-with-euler-particle-transport-2012.06094</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-learning-with-euler-particle-transport-2012.06094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-learning-with-euler-particle-transport-2012.06094"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-hidden-markov-models-and-recurrent-neural-networks-for-event-detection-and-localization-in-biomedical-signals-2012.06104</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-hidden-markov-models-and-recurrent-neural-networks-for-event-detection-and-localization-in-biomedical-signals-2012.06104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-hidden-markov-models-and-recurrent-neural-networks-for-event-detection-and-localization-in-biomedical-signals-2012.06104"/></url>
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<url><loc>https://scifaro.com/en/abs/dsrna-differentiable-search-of-robust-neural-architectures-2012.06122</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dsrna-differentiable-search-of-robust-neural-architectures-2012.06122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dsrna-differentiable-search-of-robust-neural-architectures-2012.06122"/></url>
<url><loc>https://scifaro.com/en/abs/advantagenas-efficient-neural-architecture-search-with-credit-assignment-2012.06138</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advantagenas-efficient-neural-architecture-search-with-credit-assignment-2012.06138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advantagenas-efficient-neural-architecture-search-with-credit-assignment-2012.06138"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-behavioral-consistence-for-universal-user-representation-2012.06146</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-behavioral-consistence-for-universal-user-representation-2012.06146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-behavioral-consistence-for-universal-user-representation-2012.06146"/></url>
<url><loc>https://scifaro.com/en/abs/theory-guided-hard-constraint-projection-hcp-a-knowledge-based-data-driven-scientific-machine-learning-method-2012.06148</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-guided-hard-constraint-projection-hcp-a-knowledge-based-data-driven-scientific-machine-learning-method-2012.06148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-guided-hard-constraint-projection-hcp-a-knowledge-based-data-driven-scientific-machine-learning-method-2012.06148"/></url>
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<url><loc>https://scifaro.com/en/abs/pi-road-a-learn-as-you-go-framework-for-on-demand-emergency-slices-in-v2x-scenarios-2012.06208</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pi-road-a-learn-as-you-go-framework-for-on-demand-emergency-slices-in-v2x-scenarios-2012.06208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pi-road-a-learn-as-you-go-framework-for-on-demand-emergency-slices-in-v2x-scenarios-2012.06208"/></url>
<url><loc>https://scifaro.com/en/abs/query-understanding-for-natural-language-enterprise-search-2012.06238</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/query-understanding-for-natural-language-enterprise-search-2012.06238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/query-understanding-for-natural-language-enterprise-search-2012.06238"/></url>
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<url><loc>https://scifaro.com/en/abs/add-augmented-disentanglement-distillation-framework-for-improving-stock-trend-forecasting-2012.06289</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/add-augmented-disentanglement-distillation-framework-for-improving-stock-trend-forecasting-2012.06289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/add-augmented-disentanglement-distillation-framework-for-improving-stock-trend-forecasting-2012.06289"/></url>
<url><loc>https://scifaro.com/en/abs/learning-order-parameters-from-videos-of-dynamical-phases-for-skyrmions-with-neural-networks-2012.06308</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-order-parameters-from-videos-of-dynamical-phases-for-skyrmions-with-neural-networks-2012.06308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-order-parameters-from-videos-of-dynamical-phases-for-skyrmions-with-neural-networks-2012.06308"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-intelligence-for-covid-19-detection-a-state-of-the-art-review-2012.06310</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-intelligence-for-covid-19-detection-a-state-of-the-art-review-2012.06310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-intelligence-for-covid-19-detection-a-state-of-the-art-review-2012.06310"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-histogram-with-hard-binning-2012.06311</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-histogram-with-hard-binning-2012.06311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-histogram-with-hard-binning-2012.06311"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-long-term-hydropower-production-scheduling-2012.06312</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-long-term-hydropower-production-scheduling-2012.06312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-long-term-hydropower-production-scheduling-2012.06312"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-stock-portfolio-optimization-2012.06325</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-stock-portfolio-optimization-2012.06325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-stock-portfolio-optimization-2012.06325"/></url>
<url><loc>https://scifaro.com/en/abs/explornn-understanding-recurrent-neural-networks-through-visual-exploration-2012.06326</loc><lastmod>2022-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explornn-understanding-recurrent-neural-networks-through-visual-exploration-2012.06326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explornn-understanding-recurrent-neural-networks-through-visual-exploration-2012.06326"/></url>
<url><loc>https://scifaro.com/en/abs/sheaf-neural-networks-2012.06333</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sheaf-neural-networks-2012.06333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sheaf-neural-networks-2012.06333"/></url>
<url><loc>https://scifaro.com/en/abs/the-why-what-and-how-of-artificial-general-intelligence-chip-development-2012.06338</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-why-what-and-how-of-artificial-general-intelligence-chip-development-2012.06338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-why-what-and-how-of-artificial-general-intelligence-chip-development-2012.06338"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-occam-s-razor-in-system-identification-double-descent-when-modeling-dynamics-2012.06341</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-occam-s-razor-in-system-identification-double-descent-when-modeling-dynamics-2012.06341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-occam-s-razor-in-system-identification-double-descent-when-modeling-dynamics-2012.06341"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-based-on-sparse-neural-network-layer-with-normalizing-constraints-2012.06365</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-based-on-sparse-neural-network-layer-with-normalizing-constraints-2012.06365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-based-on-sparse-neural-network-layer-with-normalizing-constraints-2012.06365"/></url>
<url><loc>https://scifaro.com/en/abs/hardware-beyond-backpropagation-a-photonic-co-processor-for-direct-feedback-alignment-2012.06373</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hardware-beyond-backpropagation-a-photonic-co-processor-for-direct-feedback-alignment-2012.06373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hardware-beyond-backpropagation-a-photonic-co-processor-for-direct-feedback-alignment-2012.06373"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-distribution-regression-for-remote-sensing-applications-2012.06377</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-distribution-regression-for-remote-sensing-applications-2012.06377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-distribution-regression-for-remote-sensing-applications-2012.06377"/></url>
<url><loc>https://scifaro.com/en/abs/parallelized-rate-distortion-optimized-quantization-using-deep-learning-2012.06380</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelized-rate-distortion-optimized-quantization-using-deep-learning-2012.06380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelized-rate-distortion-optimized-quantization-using-deep-learning-2012.06380"/></url>
<url><loc>https://scifaro.com/en/abs/an-ai-assisted-design-method-for-topology-optimization-without-pre-optimized-training-data-2012.06384</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-ai-assisted-design-method-for-topology-optimization-without-pre-optimized-training-data-2012.06384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-ai-assisted-design-method-for-topology-optimization-without-pre-optimized-training-data-2012.06384"/></url>
<url><loc>https://scifaro.com/en/abs/tara-training-and-representation-alteration-for-ai-fairness-and-domain-generalization-2012.06387</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tara-training-and-representation-alteration-for-ai-fairness-and-domain-generalization-2012.06387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tara-training-and-representation-alteration-for-ai-fairness-and-domain-generalization-2012.06387"/></url>
<url><loc>https://scifaro.com/en/abs/closeness-and-uncertainty-aware-adversarial-examples-detection-in-adversarial-machine-learning-2012.06390</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/closeness-and-uncertainty-aware-adversarial-examples-detection-in-adversarial-machine-learning-2012.06390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/closeness-and-uncertainty-aware-adversarial-examples-detection-in-adversarial-machine-learning-2012.06390"/></url>
<url><loc>https://scifaro.com/en/abs/learning-physically-consistent-mathematical-models-from-data-using-group-sparsity-2012.06391</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-physically-consistent-mathematical-models-from-data-using-group-sparsity-2012.06391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-physically-consistent-mathematical-models-from-data-using-group-sparsity-2012.06391"/></url>
<url><loc>https://scifaro.com/en/abs/when-is-memorization-of-irrelevant-training-data-necessary-for-high-accuracy-learning-2012.06421</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-is-memorization-of-irrelevant-training-data-necessary-for-high-accuracy-learning-2012.06421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-is-memorization-of-irrelevant-training-data-necessary-for-high-accuracy-learning-2012.06421"/></url>
<url><loc>https://scifaro.com/en/abs/data-appraisal-without-data-sharing-2012.06430</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-appraisal-without-data-sharing-2012.06430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-appraisal-without-data-sharing-2012.06430"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-neural-network-architecture-invariant-to-the-action-of-symmetry-subgroups-2012.06452</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-neural-network-architecture-invariant-to-the-action-of-symmetry-subgroups-2012.06452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-neural-network-architecture-invariant-to-the-action-of-symmetry-subgroups-2012.06452"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-hemolysis-tendency-of-peptides-using-a-reliable-evaluation-method-2012.06470</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-hemolysis-tendency-of-peptides-using-a-reliable-evaluation-method-2012.06470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-hemolysis-tendency-of-peptides-using-a-reliable-evaluation-method-2012.06470"/></url>
<url><loc>https://scifaro.com/en/abs/opac-opportunistic-actor-critic-2012.06555</loc><lastmod>2020-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opac-opportunistic-actor-critic-2012.06555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opac-opportunistic-actor-critic-2012.06555"/></url>
<url><loc>https://scifaro.com/en/abs/learning-energy-based-models-with-adversarial-training-2012.06568</loc><lastmod>2022-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-energy-based-models-with-adversarial-training-2012.06568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-energy-based-models-with-adversarial-training-2012.06568"/></url>
<url><loc>https://scifaro.com/en/abs/avoiding-the-double-descent-phenomenon-of-random-feature-models-using-hybrid-regularization-2012.06667</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avoiding-the-double-descent-phenomenon-of-random-feature-models-using-hybrid-regularization-2012.06667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avoiding-the-double-descent-phenomenon-of-random-feature-models-using-hybrid-regularization-2012.06667"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-histogram-based-gradient-boosted-trees-for-federated-learning-2012.06670</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-histogram-based-gradient-boosted-trees-for-federated-learning-2012.06670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-histogram-based-gradient-boosted-trees-for-federated-learning-2012.06670"/></url>
<url><loc>https://scifaro.com/en/abs/tabtransformer-tabular-data-modeling-using-contextual-embeddings-2012.06678</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tabtransformer-tabular-data-modeling-using-contextual-embeddings-2012.06678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tabtransformer-tabular-data-modeling-using-contextual-embeddings-2012.06678"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-lstm-neural-networks-for-modeling-wildland-fire-dynamics-2012.06679</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-lstm-neural-networks-for-modeling-wildland-fire-dynamics-2012.06679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-lstm-neural-networks-for-modeling-wildland-fire-dynamics-2012.06679"/></url>
<url><loc>https://scifaro.com/en/abs/faster-policy-learning-with-continuous-time-gradients-2012.06684</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-policy-learning-with-continuous-time-gradients-2012.06684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-policy-learning-with-continuous-time-gradients-2012.06684"/></url>
<url><loc>https://scifaro.com/en/abs/consequences-of-slow-neural-dynamics-for-incremental-learning-2012.06694</loc><lastmod>2023-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consequences-of-slow-neural-dynamics-for-incremental-learning-2012.06694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consequences-of-slow-neural-dynamics-for-incremental-learning-2012.06694"/></url>
<url><loc>https://scifaro.com/en/abs/generating-adversarial-disturbances-for-controller-verification-2012.06695</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-adversarial-disturbances-for-controller-verification-2012.06695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-adversarial-disturbances-for-controller-verification-2012.06695"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-federated-learning-with-compensated-overlap-fedavg-2012.06706</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-federated-learning-with-compensated-overlap-fedavg-2012.06706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-federated-learning-with-compensated-overlap-fedavg-2012.06706"/></url>
<url><loc>https://scifaro.com/en/abs/learning-consistent-deep-generative-models-from-sparse-data-via-prediction-constraints-2012.06718</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-consistent-deep-generative-models-from-sparse-data-via-prediction-constraints-2012.06718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-consistent-deep-generative-models-from-sparse-data-via-prediction-constraints-2012.06718"/></url>
<url><loc>https://scifaro.com/en/abs/on-duality-gap-as-a-measure-for-monitoring-gan-training-2012.06723</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-duality-gap-as-a-measure-for-monitoring-gan-training-2012.06723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-duality-gap-as-a-measure-for-monitoring-gan-training-2012.06723"/></url>
<url><loc>https://scifaro.com/en/abs/pirank-scalable-learning-to-rank-via-differentiable-sorting-2012.06731</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pirank-scalable-learning-to-rank-via-differentiable-sorting-2012.06731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pirank-scalable-learning-to-rank-via-differentiable-sorting-2012.06731"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-incorporation-of-multiple-latency-targets-in-the-once-for-all-network-2012.06748</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-incorporation-of-multiple-latency-targets-in-the-once-for-all-network-2012.06748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-incorporation-of-multiple-latency-targets-in-the-once-for-all-network-2012.06748"/></url>
<url><loc>https://scifaro.com/en/abs/a-meta-learning-approach-for-graph-representation-learning-in-multi-task-settings-2012.06755</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-meta-learning-approach-for-graph-representation-learning-in-multi-task-settings-2012.06755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-meta-learning-approach-for-graph-representation-learning-in-multi-task-settings-2012.06755"/></url>
<url><loc>https://scifaro.com/en/abs/blindfolded-attackers-still-threatening-strict-black-box-adversarial-attacks-on-graphs-2012.06757</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blindfolded-attackers-still-threatening-strict-black-box-adversarial-attacks-on-graphs-2012.06757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blindfolded-attackers-still-threatening-strict-black-box-adversarial-attacks-on-graphs-2012.06757"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-capture-and-replay-for-continual-learning-2012.06789</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-capture-and-replay-for-continual-learning-2012.06789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-capture-and-replay-for-continual-learning-2012.06789"/></url>
<url><loc>https://scifaro.com/en/abs/delay-differential-neural-networks-2012.06800</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delay-differential-neural-networks-2012.06800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delay-differential-neural-networks-2012.06800"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-machine-learning-simulator-for-wildfire-propagation-2012.06825</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-machine-learning-simulator-for-wildfire-propagation-2012.06825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-machine-learning-simulator-for-wildfire-propagation-2012.06825"/></url>
<url><loc>https://scifaro.com/en/abs/source-code-classification-for-energy-efficiency-in-parallel-ultra-low-power-microcontrollers-2012.06836</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/source-code-classification-for-energy-efficiency-in-parallel-ultra-low-power-microcontrollers-2012.06836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/source-code-classification-for-energy-efficiency-in-parallel-ultra-low-power-microcontrollers-2012.06836"/></url>
<url><loc>https://scifaro.com/en/abs/normalized-label-distribution-towards-learning-calibrated-adaptable-and-efficient-activation-maps-2012.06876</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalized-label-distribution-towards-learning-calibrated-adaptable-and-efficient-activation-maps-2012.06876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalized-label-distribution-towards-learning-calibrated-adaptable-and-efficient-activation-maps-2012.06876"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-qualitatively-characterizing-neural-network-optimization-problems-2012.06898</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-qualitatively-characterizing-neural-network-optimization-problems-2012.06898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-qualitatively-characterizing-neural-network-optimization-problems-2012.06898"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-reward-learning-for-offline-reinforcement-learning-2012.06899</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-reward-learning-for-offline-reinforcement-learning-2012.06899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-reward-learning-for-offline-reinforcement-learning-2012.06899"/></url>
<url><loc>https://scifaro.com/en/abs/the-lottery-tickets-hypothesis-for-supervised-and-self-supervised-pre-training-in-computer-vision-models-2012.06908</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-lottery-tickets-hypothesis-for-supervised-and-self-supervised-pre-training-in-computer-vision-models-2012.06908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-lottery-tickets-hypothesis-for-supervised-and-self-supervised-pre-training-in-computer-vision-models-2012.06908"/></url>
<url><loc>https://scifaro.com/en/abs/np-ode-neural-process-aided-ordinary-differential-equations-for-uncertainty-quantification-of-finite-element-analysis-2012.06914</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/np-ode-neural-process-aided-ordinary-differential-equations-for-uncertainty-quantification-of-finite-element-analysis-2012.06914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/np-ode-neural-process-aided-ordinary-differential-equations-for-uncertainty-quantification-of-finite-element-analysis-2012.06914"/></url>
<url><loc>https://scifaro.com/en/abs/offline-policy-selection-under-uncertainty-2012.06919</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-policy-selection-under-uncertainty-2012.06919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-policy-selection-under-uncertainty-2012.06919"/></url>
<url><loc>https://scifaro.com/en/abs/learning-symbolic-expressions-via-gumbel-max-equation-learner-networks-2012.06921</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-symbolic-expressions-via-gumbel-max-equation-learner-networks-2012.06921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-symbolic-expressions-via-gumbel-max-equation-learner-networks-2012.06921"/></url>
<url><loc>https://scifaro.com/en/abs/decimated-framelet-system-on-graphs-and-fast-g-framelet-transforms-2012.06922</loc><lastmod>2021-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decimated-framelet-system-on-graphs-and-fast-g-framelet-transforms-2012.06922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decimated-framelet-system-on-graphs-and-fast-g-framelet-transforms-2012.06922"/></url>
<url><loc>https://scifaro.com/en/abs/warm-starting-cma-es-for-hyperparameter-optimization-2012.06932</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/warm-starting-cma-es-for-hyperparameter-optimization-2012.06932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/warm-starting-cma-es-for-hyperparameter-optimization-2012.06932"/></url>
<url><loc>https://scifaro.com/en/abs/attentional-biased-stochastic-gradient-descent-2012.06951</loc><lastmod>2023-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attentional-biased-stochastic-gradient-descent-2012.06951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attentional-biased-stochastic-gradient-descent-2012.06951"/></url>
<url><loc>https://scifaro.com/en/abs/meme-generating-rnn-model-explanations-via-model-extraction-2012.06954</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meme-generating-rnn-model-explanations-via-model-extraction-2012.06954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meme-generating-rnn-model-explanations-via-model-extraction-2012.06954"/></url>
<url><loc>https://scifaro.com/en/abs/learn-prune-share-for-lifelong-learning-2012.06956</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-prune-share-for-lifelong-learning-2012.06956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-prune-share-for-lifelong-learning-2012.06956"/></url>
<url><loc>https://scifaro.com/en/abs/open-world-class-discovery-with-kernel-networks-2012.06957</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-world-class-discovery-with-kernel-networks-2012.06957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-world-class-discovery-with-kernel-networks-2012.06957"/></url>
<url><loc>https://scifaro.com/en/abs/online-stochastic-optimization-with-wasserstein-based-non-stationarity-2012.06961</loc><lastmod>2022-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-stochastic-optimization-with-wasserstein-based-non-stationarity-2012.06961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-stochastic-optimization-with-wasserstein-based-non-stationarity-2012.06961"/></url>
<url><loc>https://scifaro.com/en/abs/active-feature-selection-for-the-mutual-information-criterion-2012.06979</loc><lastmod>2021-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-feature-selection-for-the-mutual-information-criterion-2012.06979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-feature-selection-for-the-mutual-information-criterion-2012.06979"/></url>
<url><loc>https://scifaro.com/en/abs/fault-injectors-for-tensorflow-evaluation-of-the-impact-of-random-hardware-faults-on-deep-cnns-2012.07037</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fault-injectors-for-tensorflow-evaluation-of-the-impact-of-random-hardware-faults-on-deep-cnns-2012.07037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fault-injectors-for-tensorflow-evaluation-of-the-impact-of-random-hardware-faults-on-deep-cnns-2012.07037"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-algorithms-for-multi-armed-bandit-with-composite-and-anonymous-feedback-2012.07048</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-algorithms-for-multi-armed-bandit-with-composite-and-anonymous-feedback-2012.07048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-algorithms-for-multi-armed-bandit-with-composite-and-anonymous-feedback-2012.07048"/></url>
<url><loc>https://scifaro.com/en/abs/budgeted-and-non-budgeted-causal-bandits-2012.07058</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/budgeted-and-non-budgeted-causal-bandits-2012.07058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/budgeted-and-non-budgeted-causal-bandits-2012.07058"/></url>
<url><loc>https://scifaro.com/en/abs/lscale-latent-space-clustering-based-active-learning-for-node-classification-2012.07065</loc><lastmod>2022-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lscale-latent-space-clustering-based-active-learning-for-node-classification-2012.07065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lscale-latent-space-clustering-based-active-learning-for-node-classification-2012.07065"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-subspaces-using-free-energy-paradigm-2012.07091</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-subspaces-using-free-energy-paradigm-2012.07091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-subspaces-using-free-energy-paradigm-2012.07091"/></url>
<url><loc>https://scifaro.com/en/abs/leaking-sensitive-financial-accounting-data-in-plain-sight-using-deep-autoencoder-neural-networks-2012.07110</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leaking-sensitive-financial-accounting-data-in-plain-sight-using-deep-autoencoder-neural-networks-2012.07110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leaking-sensitive-financial-accounting-data-in-plain-sight-using-deep-autoencoder-neural-networks-2012.07110"/></url>
<url><loc>https://scifaro.com/en/abs/demystifying-deep-neural-networks-through-interpretation-a-survey-2012.07119</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-deep-neural-networks-through-interpretation-a-survey-2012.07119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-deep-neural-networks-through-interpretation-a-survey-2012.07119"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-the-costs-of-abstraction-for-dl-frameworks-2012.07163</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-the-costs-of-abstraction-for-dl-frameworks-2012.07163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-the-costs-of-abstraction-for-dl-frameworks-2012.07163"/></url>
<url><loc>https://scifaro.com/en/abs/extended-few-shot-learning-exploiting-existing-resources-for-novel-tasks-2012.07176</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extended-few-shot-learning-exploiting-existing-resources-for-novel-tasks-2012.07176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extended-few-shot-learning-exploiting-existing-resources-for-novel-tasks-2012.07176"/></url>
<url><loc>https://scifaro.com/en/abs/explanation-from-specification-2012.07179</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explanation-from-specification-2012.07179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explanation-from-specification-2012.07179"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-decentralized-aggregation-for-federated-learning-2012.07183</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-decentralized-aggregation-for-federated-learning-2012.07183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-decentralized-aggregation-for-federated-learning-2012.07183"/></url>
<url><loc>https://scifaro.com/en/abs/bayes-distnet-a-robust-neural-network-for-algorithm-runtime-distribution-predictions-2012.07197</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayes-distnet-a-robust-neural-network-for-algorithm-runtime-distribution-predictions-2012.07197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayes-distnet-a-robust-neural-network-for-algorithm-runtime-distribution-predictions-2012.07197"/></url>
<url><loc>https://scifaro.com/en/abs/on-convergence-of-gradient-expected-sarsa-lambda-2012.07199</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-convergence-of-gradient-expected-sarsa-lambda-2012.07199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-convergence-of-gradient-expected-sarsa-lambda-2012.07199"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-the-expressive-bottlenecks-of-graph-neural-networks-2012.07219</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-the-expressive-bottlenecks-of-graph-neural-networks-2012.07219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-the-expressive-bottlenecks-of-graph-neural-networks-2012.07219"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-adversarial-robustness-requires-an-active-teacher-2012.07233</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-adversarial-robustness-requires-an-active-teacher-2012.07233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-adversarial-robustness-requires-an-active-teacher-2012.07233"/></url>
<url><loc>https://scifaro.com/en/abs/multi-domain-multi-task-rehearsal-for-lifelong-learning-2012.07236</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-domain-multi-task-rehearsal-for-lifelong-learning-2012.07236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-domain-multi-task-rehearsal-for-lifelong-learning-2012.07236"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-neural-ordinary-differential-equations-2012.07244</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-neural-ordinary-differential-equations-2012.07244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-neural-ordinary-differential-equations-2012.07244"/></url>
<url><loc>https://scifaro.com/en/abs/towards-accurate-spatiotemporal-covid-19-risk-scores-using-high-resolution-real-world-mobility-data-2012.07283</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-accurate-spatiotemporal-covid-19-risk-scores-using-high-resolution-real-world-mobility-data-2012.07283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-accurate-spatiotemporal-covid-19-risk-scores-using-high-resolution-real-world-mobility-data-2012.07283"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-discrete-spaces-via-expensive-evaluations-a-learning-to-search-framework-2012.07320</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-discrete-spaces-via-expensive-evaluations-a-learning-to-search-framework-2012.07320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-discrete-spaces-via-expensive-evaluations-a-learning-to-search-framework-2012.07320"/></url>
<url><loc>https://scifaro.com/en/abs/a-one-size-fits-all-solution-to-conservative-bandit-problems-2012.07341</loc><lastmod>2023-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-one-size-fits-all-solution-to-conservative-bandit-problems-2012.07341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-one-size-fits-all-solution-to-conservative-bandit-problems-2012.07341"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-learning-in-decentralized-matching-markets-2012.07348</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-learning-in-decentralized-matching-markets-2012.07348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-learning-in-decentralized-matching-markets-2012.07348"/></url>
<url><loc>https://scifaro.com/en/abs/learning-for-mpc-with-stability-safety-guarantees-2012.07369</loc><lastmod>2022-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-for-mpc-with-stability-safety-guarantees-2012.07369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-for-mpc-with-stability-safety-guarantees-2012.07369"/></url>
<url><loc>https://scifaro.com/en/abs/disentangled-information-bottleneck-2012.07372</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-information-bottleneck-2012.07372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-information-bottleneck-2012.07372"/></url>
<url><loc>https://scifaro.com/en/abs/influence-driven-data-poisoning-in-graph-based-semi-supervised-classifiers-2012.07381</loc><lastmod>2022-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/influence-driven-data-poisoning-in-graph-based-semi-supervised-classifiers-2012.07381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/influence-driven-data-poisoning-in-graph-based-semi-supervised-classifiers-2012.07381"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-under-importance-sampling-2012.07383</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-under-importance-sampling-2012.07383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-under-importance-sampling-2012.07383"/></url>
<url><loc>https://scifaro.com/en/abs/phase-retrieval-with-holography-and-untrained-priors-tackling-the-challenges-of-low-photon-nanoscale-imaging-2012.07386</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phase-retrieval-with-holography-and-untrained-priors-tackling-the-challenges-of-low-photon-nanoscale-imaging-2012.07386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phase-retrieval-with-holography-and-untrained-priors-tackling-the-challenges-of-low-photon-nanoscale-imaging-2012.07386"/></url>
<url><loc>https://scifaro.com/en/abs/robust-unsupervised-learning-via-l-statistic-minimization-2012.07399</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-unsupervised-learning-via-l-statistic-minimization-2012.07399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-unsupervised-learning-via-l-statistic-minimization-2012.07399"/></url>
<url><loc>https://scifaro.com/en/abs/fork-or-fail-cycle-consistent-training-with-many-to-one-mappings-2012.07412</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fork-or-fail-cycle-consistent-training-with-many-to-one-mappings-2012.07412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fork-or-fail-cycle-consistent-training-with-many-to-one-mappings-2012.07412"/></url>
<url><loc>https://scifaro.com/en/abs/wilds-a-benchmark-of-in-the-wild-distribution-shifts-2012.07421</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wilds-a-benchmark-of-in-the-wild-distribution-shifts-2012.07421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wilds-a-benchmark-of-in-the-wild-distribution-shifts-2012.07421"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-memory-multi-batch-l-bfgs-algorithm-for-neural-network-training-2012.07434</loc><lastmod>2023-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-memory-multi-batch-l-bfgs-algorithm-for-neural-network-training-2012.07434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-memory-multi-batch-l-bfgs-algorithm-for-neural-network-training-2012.07434"/></url>
<url><loc>https://scifaro.com/en/abs/informer-beyond-efficient-transformer-for-long-sequence-time-series-forecasting-2012.07436</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/informer-beyond-efficient-transformer-for-long-sequence-time-series-forecasting-2012.07436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/informer-beyond-efficient-transformer-for-long-sequence-time-series-forecasting-2012.07436"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-the-promotion-brought-by-contrastive-learning-to-semi-supervised-node-classification-2012.07437</loc><lastmod>2022-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-the-promotion-brought-by-contrastive-learning-to-semi-supervised-node-classification-2012.07437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-the-promotion-brought-by-contrastive-learning-to-semi-supervised-node-classification-2012.07437"/></url>
<url><loc>https://scifaro.com/en/abs/graphs-for-deep-learning-representations-2012.07439</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphs-for-deep-learning-representations-2012.07439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphs-for-deep-learning-representations-2012.07439"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-demand-forecasting-to-encourage-consumer-acceptance-of-smart-energy-meters-2012.07449</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-demand-forecasting-to-encourage-consumer-acceptance-of-smart-energy-meters-2012.07449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-demand-forecasting-to-encourage-consumer-acceptance-of-smart-energy-meters-2012.07449"/></url>
<url><loc>https://scifaro.com/en/abs/sim-to-real-reinforcement-learning-applied-to-end-to-end-vehicle-control-2012.07461</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sim-to-real-reinforcement-learning-applied-to-end-to-end-vehicle-control-2012.07461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sim-to-real-reinforcement-learning-applied-to-end-to-end-vehicle-control-2012.07461"/></url>
<url><loc>https://scifaro.com/en/abs/has-nets-a-heal-and-select-mechanism-to-defend-dnns-against-backdoor-attacks-for-data-collection-scenarios-2012.07474</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/has-nets-a-heal-and-select-mechanism-to-defend-dnns-against-backdoor-attacks-for-data-collection-scenarios-2012.07474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/has-nets-a-heal-and-select-mechanism-to-defend-dnns-against-backdoor-attacks-for-data-collection-scenarios-2012.07474"/></url>
<url><loc>https://scifaro.com/en/abs/an-overview-of-11-proposals-for-building-safe-advanced-ai-2012.07532</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-overview-of-11-proposals-for-building-safe-advanced-ai-2012.07532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-overview-of-11-proposals-for-building-safe-advanced-ai-2012.07532"/></url>
<url><loc>https://scifaro.com/en/abs/recovery-of-linear-components-reduced-complexity-autoencoder-designs-2012.07543</loc><lastmod>2023-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovery-of-linear-components-reduced-complexity-autoencoder-designs-2012.07543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovery-of-linear-components-reduced-complexity-autoencoder-designs-2012.07543"/></url>
<url><loc>https://scifaro.com/en/abs/alrelu-a-different-approach-on-leaky-relu-activation-function-to-improve-neural-networks-performance-2012.07564</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alrelu-a-different-approach-on-leaky-relu-activation-function-to-improve-neural-networks-performance-2012.07564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alrelu-a-different-approach-on-leaky-relu-activation-function-to-improve-neural-networks-performance-2012.07564"/></url>
<url><loc>https://scifaro.com/en/abs/an-expectation-based-network-scan-statistic-for-a-covid-19-early-warning-system-2012.07574</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-expectation-based-network-scan-statistic-for-a-covid-19-early-warning-system-2012.07574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-expectation-based-network-scan-statistic-for-a-covid-19-early-warning-system-2012.07574"/></url>
<url><loc>https://scifaro.com/en/abs/building-deep-learning-models-to-predict-mortality-in-icu-patients-2012.07585</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-deep-learning-models-to-predict-mortality-in-icu-patients-2012.07585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-deep-learning-models-to-predict-mortality-in-icu-patients-2012.07585"/></url>
<url><loc>https://scifaro.com/en/abs/biomechanical-modelling-of-brain-atrophy-through-deep-learning-2012.07596</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biomechanical-modelling-of-brain-atrophy-through-deep-learning-2012.07596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biomechanical-modelling-of-brain-atrophy-through-deep-learning-2012.07596"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-analysis-of-the-ensemble-methods-for-drug-design-2012.07640</loc><lastmod>2024-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-analysis-of-the-ensemble-methods-for-drug-design-2012.07640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-analysis-of-the-ensemble-methods-for-drug-design-2012.07640"/></url>
<url><loc>https://scifaro.com/en/abs/best-arm-identification-in-graphical-bilinear-bandits-2012.07641</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-arm-identification-in-graphical-bilinear-bandits-2012.07641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-arm-identification-in-graphical-bilinear-bandits-2012.07641"/></url>
<url><loc>https://scifaro.com/en/abs/constraints-on-hebbian-and-stdp-learned-weights-of-a-spiking-neuron-2012.07664</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constraints-on-hebbian-and-stdp-learned-weights-of-a-spiking-neuron-2012.07664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constraints-on-hebbian-and-stdp-learned-weights-of-a-spiking-neuron-2012.07664"/></url>
<url><loc>https://scifaro.com/en/abs/e2e-fs-an-end-to-end-feature-selection-method-for-neural-networks-2012.07671</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/e2e-fs-an-end-to-end-feature-selection-method-for-neural-networks-2012.07671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/e2e-fs-an-end-to-end-feature-selection-method-for-neural-networks-2012.07671"/></url>
<url><loc>https://scifaro.com/en/abs/improving-adversarial-robustness-via-probabilistically-compact-loss-with-logit-constraints-2012.07688</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-adversarial-robustness-via-probabilistically-compact-loss-with-logit-constraints-2012.07688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-adversarial-robustness-via-probabilistically-compact-loss-with-logit-constraints-2012.07688"/></url>
<url><loc>https://scifaro.com/en/abs/a-pac-bayesian-approach-to-generalization-bounds-for-graph-neural-networks-2012.07690</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pac-bayesian-approach-to-generalization-bounds-for-graph-neural-networks-2012.07690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pac-bayesian-approach-to-generalization-bounds-for-graph-neural-networks-2012.07690"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-state-space-identification-using-deep-encoder-networks-2012.07697</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-state-space-identification-using-deep-encoder-networks-2012.07697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-state-space-identification-using-deep-encoder-networks-2012.07697"/></url>
<url><loc>https://scifaro.com/en/abs/evolutionary-learning-of-interpretable-decision-trees-2012.07723</loc><lastmod>2023-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolutionary-learning-of-interpretable-decision-trees-2012.07723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolutionary-learning-of-interpretable-decision-trees-2012.07723"/></url>
<url><loc>https://scifaro.com/en/abs/mercer-features-for-efficient-combinatorial-bayesian-optimization-2012.07762</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mercer-features-for-efficient-combinatorial-bayesian-optimization-2012.07762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mercer-features-for-efficient-combinatorial-bayesian-optimization-2012.07762"/></url>
<url><loc>https://scifaro.com/en/abs/policy-gradient-rl-algorithms-as-directed-acyclic-graphs-2012.07763</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-gradient-rl-algorithms-as-directed-acyclic-graphs-2012.07763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-gradient-rl-algorithms-as-directed-acyclic-graphs-2012.07763"/></url>
<url><loc>https://scifaro.com/en/abs/variable-shot-adaptation-for-online-meta-learning-2012.07769</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-shot-adaptation-for-online-meta-learning-2012.07769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-shot-adaptation-for-online-meta-learning-2012.07769"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-quantum-classical-neural-network-with-deep-residual-learning-2012.07772</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-quantum-classical-neural-network-with-deep-residual-learning-2012.07772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-quantum-classical-neural-network-with-deep-residual-learning-2012.07772"/></url>
<url><loc>https://scifaro.com/en/abs/small-covers-for-near-zero-sets-of-polynomials-and-learning-latent-variable-models-2012.07774</loc><lastmod>2020-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-covers-for-near-zero-sets-of-polynomials-and-learning-latent-variable-models-2012.07774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-covers-for-near-zero-sets-of-polynomials-and-learning-latent-variable-models-2012.07774"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-linear-convergence-of-stochastic-gradient-descent-for-cv-r-statistical-learning-under-polyak-l-ojasiewicz-conditions-2012.07785</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-linear-convergence-of-stochastic-gradient-descent-for-cv-r-statistical-learning-under-polyak-l-ojasiewicz-conditions-2012.07785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-linear-convergence-of-stochastic-gradient-descent-for-cv-r-statistical-learning-under-polyak-l-ojasiewicz-conditions-2012.07785"/></url>
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<url><loc>https://scifaro.com/en/abs/annealed-importance-sampling-with-q-paths-2012.07823</loc><lastmod>2024-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/annealed-importance-sampling-with-q-paths-2012.07823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/annealed-importance-sampling-with-q-paths-2012.07823"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-threats-of-differential-privacy-2012.07828</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-threats-of-differential-privacy-2012.07828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-threats-of-differential-privacy-2012.07828"/></url>
<url><loc>https://scifaro.com/en/abs/perceptron-theory-can-predict-the-accuracy-of-neural-networks-2012.07881</loc><lastmod>2023-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perceptron-theory-can-predict-the-accuracy-of-neural-networks-2012.07881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perceptron-theory-can-predict-the-accuracy-of-neural-networks-2012.07881"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-multi-armed-bandit-problem-2012.07885</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-multi-armed-bandit-problem-2012.07885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-multi-armed-bandit-problem-2012.07885"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-verifiable-training-using-pairwise-class-similarity-2012.07887</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-verifiable-training-using-pairwise-class-similarity-2012.07887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-verifiable-training-using-pairwise-class-similarity-2012.07887"/></url>
<url><loc>https://scifaro.com/en/abs/quantizing-data-for-distributed-learning-2012.07913</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantizing-data-for-distributed-learning-2012.07913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantizing-data-for-distributed-learning-2012.07913"/></url>
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<url><loc>https://scifaro.com/en/abs/sat-marl-specification-aware-training-in-multi-agent-reinforcement-learning-2012.07949</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sat-marl-specification-aware-training-in-multi-agent-reinforcement-learning-2012.07949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sat-marl-specification-aware-training-in-multi-agent-reinforcement-learning-2012.07949"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-label-cleaning-for-transductive-and-semi-supervised-few-shot-learning-2012.07962</loc><lastmod>2023-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-label-cleaning-for-transductive-and-semi-supervised-few-shot-learning-2012.07962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-label-cleaning-for-transductive-and-semi-supervised-few-shot-learning-2012.07962"/></url>
<url><loc>https://scifaro.com/en/abs/odd-one-out-representation-learning-2012.07966</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/odd-one-out-representation-learning-2012.07966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/odd-one-out-representation-learning-2012.07966"/></url>
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<url><loc>https://scifaro.com/en/abs/feature-selection-for-learning-to-predict-outcomes-of-compute-cluster-jobs-with-application-to-decision-support-2012.07982</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-for-learning-to-predict-outcomes-of-compute-cluster-jobs-with-application-to-decision-support-2012.07982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-for-learning-to-predict-outcomes-of-compute-cluster-jobs-with-application-to-decision-support-2012.07982"/></url>
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<url><loc>https://scifaro.com/en/abs/proofs-and-additional-experiments-on-second-order-techniques-for-learning-time-series-with-structural-breaks-2012.08037</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proofs-and-additional-experiments-on-second-order-techniques-for-learning-time-series-with-structural-breaks-2012.08037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proofs-and-additional-experiments-on-second-order-techniques-for-learning-time-series-with-structural-breaks-2012.08037"/></url>
<url><loc>https://scifaro.com/en/abs/deep-bayesian-active-learning-a-brief-survey-on-recent-advances-2012.08044</loc><lastmod>2022-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-bayesian-active-learning-a-brief-survey-on-recent-advances-2012.08044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-bayesian-active-learning-a-brief-survey-on-recent-advances-2012.08044"/></url>
<url><loc>https://scifaro.com/en/abs/hypothesis-disparity-regularized-mutual-information-maximization-2012.08072</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypothesis-disparity-regularized-mutual-information-maximization-2012.08072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypothesis-disparity-regularized-mutual-information-maximization-2012.08072"/></url>
<url><loc>https://scifaro.com/en/abs/an-exact-solution-in-markov-decision-process-with-multiplicative-rewards-as-a-general-framework-2012.08074</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-exact-solution-in-markov-decision-process-with-multiplicative-rewards-as-a-general-framework-2012.08074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-exact-solution-in-markov-decision-process-with-multiplicative-rewards-as-a-general-framework-2012.08074"/></url>
<url><loc>https://scifaro.com/en/abs/coupled-layer-wise-graph-convolution-for-transportation-demand-prediction-2012.08080</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupled-layer-wise-graph-convolution-for-transportation-demand-prediction-2012.08080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupled-layer-wise-graph-convolution-for-transportation-demand-prediction-2012.08080"/></url>
<url><loc>https://scifaro.com/en/abs/product-graph-learning-from-multi-domain-data-with-sparsity-and-rank-constraints-2012.08090</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/product-graph-learning-from-multi-domain-data-with-sparsity-and-rank-constraints-2012.08090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/product-graph-learning-from-multi-domain-data-with-sparsity-and-rank-constraints-2012.08090"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-speech-verification-spoofing-detection-2012.08095</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-speech-verification-spoofing-detection-2012.08095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-speech-verification-spoofing-detection-2012.08095"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-and-localization-based-on-double-kernelized-scoring-and-matrix-kernels-2012.08100</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-and-localization-based-on-double-kernelized-scoring-and-matrix-kernels-2012.08100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-and-localization-based-on-double-kernelized-scoring-and-matrix-kernels-2012.08100"/></url>
<url><loc>https://scifaro.com/en/abs/amata-an-annealing-mechanism-for-adversarial-training-acceleration-2012.08112</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amata-an-annealing-mechanism-for-adversarial-training-acceleration-2012.08112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amata-an-annealing-mechanism-for-adversarial-training-acceleration-2012.08112"/></url>
<url><loc>https://scifaro.com/en/abs/learning-energy-based-models-by-diffusion-recovery-likelihood-2012.08125</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-energy-based-models-by-diffusion-recovery-likelihood-2012.08125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-energy-based-models-by-diffusion-recovery-likelihood-2012.08125"/></url>
<url><loc>https://scifaro.com/en/abs/generation-of-complex-database-queries-and-api-calls-from-natural-language-utterances-2012.08146</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generation-of-complex-database-queries-and-api-calls-from-natural-language-utterances-2012.08146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generation-of-complex-database-queries-and-api-calls-from-natural-language-utterances-2012.08146"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-heterogeneous-statistical-patterns-in-high-dimensional-data-by-adversarial-distributions-an-unsupervised-generative-framework-2012.08153</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-heterogeneous-statistical-patterns-in-high-dimensional-data-by-adversarial-distributions-an-unsupervised-generative-framework-2012.08153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-heterogeneous-statistical-patterns-in-high-dimensional-data-by-adversarial-distributions-an-unsupervised-generative-framework-2012.08153"/></url>
<url><loc>https://scifaro.com/en/abs/confidential-machine-learning-on-untrusted-platforms-a-survey-2012.08156</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidential-machine-learning-on-untrusted-platforms-a-survey-2012.08156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidential-machine-learning-on-untrusted-platforms-a-survey-2012.08156"/></url>
<url><loc>https://scifaro.com/en/abs/squirrel-a-switching-hyperparameter-optimizer-2012.08180</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/squirrel-a-switching-hyperparameter-optimizer-2012.08180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/squirrel-a-switching-hyperparameter-optimizer-2012.08180"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-neural-network-with-pretrained-protein-embedding-enhances-prediction-accuracy-of-drug-protein-interaction-2012.08194</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-neural-network-with-pretrained-protein-embedding-enhances-prediction-accuracy-of-drug-protein-interaction-2012.08194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-neural-network-with-pretrained-protein-embedding-enhances-prediction-accuracy-of-drug-protein-interaction-2012.08194"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-recommendation-systems-by-generalized-additive-models-with-manifest-and-latent-interactions-2012.08196</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-recommendation-systems-by-generalized-additive-models-with-manifest-and-latent-interactions-2012.08196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-recommendation-systems-by-generalized-additive-models-with-manifest-and-latent-interactions-2012.08196"/></url>
<url><loc>https://scifaro.com/en/abs/policy-optimization-as-online-learning-with-mediator-feedback-2012.08225</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-optimization-as-online-learning-with-mediator-feedback-2012.08225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-optimization-as-online-learning-with-mediator-feedback-2012.08225"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-global-factors-in-deep-generative-models-2012.08234</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-global-factors-in-deep-generative-models-2012.08234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-global-factors-in-deep-generative-models-2012.08234"/></url>
<url><loc>https://scifaro.com/en/abs/are-we-forgetting-about-compositional-optimisers-in-bayesian-optimisation-2012.08240</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-we-forgetting-about-compositional-optimisers-in-bayesian-optimisation-2012.08240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-we-forgetting-about-compositional-optimisers-in-bayesian-optimisation-2012.08240"/></url>
<url><loc>https://scifaro.com/en/abs/cossgd-communication-efficient-federated-learning-with-a-simple-cosine-based-quantization-2012.08241</loc><lastmod>2022-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cossgd-communication-efficient-federated-learning-with-a-simple-cosine-based-quantization-2012.08241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cossgd-communication-efficient-federated-learning-with-a-simple-cosine-based-quantization-2012.08241"/></url>
<url><loc>https://scifaro.com/en/abs/cfq-analyzing-the-scalability-of-machine-learning-on-a-compositional-task-2012.08266</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cfq-analyzing-the-scalability-of-machine-learning-on-a-compositional-task-2012.08266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cfq-analyzing-the-scalability-of-machine-learning-on-a-compositional-task-2012.08266"/></url>
<url><loc>https://scifaro.com/en/abs/high-throughput-screening-with-machine-learning-2012.08275</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-throughput-screening-with-machine-learning-2012.08275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-throughput-screening-with-machine-learning-2012.08275"/></url>
<url><loc>https://scifaro.com/en/abs/bisnn-training-spiking-neural-networks-with-binary-weights-via-bayesian-learning-2012.08300</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bisnn-training-spiking-neural-networks-with-binary-weights-via-bayesian-learning-2012.08300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bisnn-training-spiking-neural-networks-with-binary-weights-via-bayesian-learning-2012.08300"/></url>
<url><loc>https://scifaro.com/en/abs/quarc-quaternion-multi-modal-fusion-architecture-for-hate-speech-classification-2012.08312</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quarc-quaternion-multi-modal-fusion-architecture-for-hate-speech-classification-2012.08312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quarc-quaternion-multi-modal-fusion-architecture-for-hate-speech-classification-2012.08312"/></url>
<url><loc>https://scifaro.com/en/abs/masksembles-for-uncertainty-estimation-2012.08334</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/masksembles-for-uncertainty-estimation-2012.08334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/masksembles-for-uncertainty-estimation-2012.08334"/></url>
<url><loc>https://scifaro.com/en/abs/cost-effective-federated-learning-design-2012.08336</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-effective-federated-learning-design-2012.08336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-effective-federated-learning-design-2012.08336"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-vicinal-risk-minimization-for-lightweight-out-of-distribution-detection-2012.08398</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-vicinal-risk-minimization-for-lightweight-out-of-distribution-detection-2012.08398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-vicinal-risk-minimization-for-lightweight-out-of-distribution-detection-2012.08398"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-neural-networks-for-sensor-data-classification-on-small-embedded-systems-2012.08403</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-neural-networks-for-sensor-data-classification-on-small-embedded-systems-2012.08403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-neural-networks-for-sensor-data-classification-on-small-embedded-systems-2012.08403"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-classification-of-unsegmented-phonocardiogram-spectrograms-leveraging-transfer-learning-2012.08406</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-classification-of-unsegmented-phonocardiogram-spectrograms-leveraging-transfer-learning-2012.08406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-classification-of-unsegmented-phonocardiogram-spectrograms-leveraging-transfer-learning-2012.08406"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-neural-networks-quantization-via-layer-wise-quantization-analysis-2012.08420</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-neural-networks-quantization-via-layer-wise-quantization-analysis-2012.08420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-neural-networks-quantization-via-layer-wise-quantization-analysis-2012.08420"/></url>
<url><loc>https://scifaro.com/en/abs/detection-of-anomalies-in-a-time-series-data-using-influxdb-and-python-2012.08439</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-of-anomalies-in-a-time-series-data-using-influxdb-and-python-2012.08439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-of-anomalies-in-a-time-series-data-using-influxdb-and-python-2012.08439"/></url>
<url><loc>https://scifaro.com/en/abs/strong-overall-error-analysis-for-the-training-of-artificial-neural-networks-via-random-initializations-2012.08443</loc><lastmod>2023-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strong-overall-error-analysis-for-the-training-of-artificial-neural-networks-via-random-initializations-2012.08443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strong-overall-error-analysis-for-the-training-of-artificial-neural-networks-via-random-initializations-2012.08443"/></url>
<url><loc>https://scifaro.com/en/abs/molecular-machine-learning-with-conformer-ensembles-2012.08452</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molecular-machine-learning-with-conformer-ensembles-2012.08452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molecular-machine-learning-with-conformer-ensembles-2012.08452"/></url>
<url><loc>https://scifaro.com/en/abs/rule-extraction-from-binary-neural-networks-with-convolutional-rules-for-model-validation-2012.08459</loc><lastmod>2020-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rule-extraction-from-binary-neural-networks-with-convolutional-rules-for-model-validation-2012.08459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rule-extraction-from-binary-neural-networks-with-convolutional-rules-for-model-validation-2012.08459"/></url>
<url><loc>https://scifaro.com/en/abs/neural-collapse-with-cross-entropy-loss-2012.08465</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-collapse-with-cross-entropy-loss-2012.08465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-collapse-with-cross-entropy-loss-2012.08465"/></url>
<url><loc>https://scifaro.com/en/abs/objective-based-hierarchical-clustering-of-deep-embedding-vectors-2012.08466</loc><lastmod>2022-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/objective-based-hierarchical-clustering-of-deep-embedding-vectors-2012.08466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/objective-based-hierarchical-clustering-of-deep-embedding-vectors-2012.08466"/></url>
<url><loc>https://scifaro.com/en/abs/learning-aggregation-functions-2012.08482</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-aggregation-functions-2012.08482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-aggregation-functions-2012.08482"/></url>
<url><loc>https://scifaro.com/en/abs/amazon-sagemaker-autopilot-a-white-box-automl-solution-at-scale-2012.08483</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amazon-sagemaker-autopilot-a-white-box-automl-solution-at-scale-2012.08483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amazon-sagemaker-autopilot-a-white-box-automl-solution-at-scale-2012.08483"/></url>
<url><loc>https://scifaro.com/en/abs/amazon-sagemaker-automatic-model-tuning-scalable-gradient-free-optimization-2012.08489</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amazon-sagemaker-automatic-model-tuning-scalable-gradient-free-optimization-2012.08489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amazon-sagemaker-automatic-model-tuning-scalable-gradient-free-optimization-2012.08489"/></url>
<url><loc>https://scifaro.com/en/abs/nearly-minimax-optimal-reinforcement-learning-for-linear-mixture-markov-decision-processes-2012.08507</loc><lastmod>2021-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearly-minimax-optimal-reinforcement-learning-for-linear-mixture-markov-decision-processes-2012.08507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearly-minimax-optimal-reinforcement-learning-for-linear-mixture-markov-decision-processes-2012.08507"/></url>
<url><loc>https://scifaro.com/en/abs/robust-optimal-classification-trees-under-noisy-labels-2012.08560</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-optimal-classification-trees-under-noisy-labels-2012.08560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-optimal-classification-trees-under-noisy-labels-2012.08560"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-federated-learning-with-first-order-model-optimization-2012.08565</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-federated-learning-with-first-order-model-optimization-2012.08565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-federated-learning-with-first-order-model-optimization-2012.08565"/></url>
<url><loc>https://scifaro.com/en/abs/multi-modal-asyndgan-learn-from-distributed-medical-image-data-without-sharing-private-information-2012.08604</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-modal-asyndgan-learn-from-distributed-medical-image-data-without-sharing-private-information-2012.08604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-modal-asyndgan-learn-from-distributed-medical-image-data-without-sharing-private-information-2012.08604"/></url>
<url><loc>https://scifaro.com/en/abs/bebold-exploration-beyond-the-boundary-of-explored-regions-2012.08621</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bebold-exploration-beyond-the-boundary-of-explored-regions-2012.08621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bebold-exploration-beyond-the-boundary-of-explored-regions-2012.08621"/></url>
<url><loc>https://scifaro.com/en/abs/learning-prediction-intervals-for-model-performance-2012.08625</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-prediction-intervals-for-model-performance-2012.08625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-prediction-intervals-for-model-performance-2012.08625"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-distributed-online-meta-learning-via-multi-agent-collaboration-under-limited-communication-2012.08660</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-distributed-online-meta-learning-via-multi-agent-collaboration-under-limited-communication-2012.08660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-distributed-online-meta-learning-via-multi-agent-collaboration-under-limited-communication-2012.08660"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-bias-in-calibration-error-estimation-2012.08668</loc><lastmod>2022-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-bias-in-calibration-error-estimation-2012.08668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-bias-in-calibration-error-estimation-2012.08668"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-contrastive-representation-distillation-2012.08674</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-contrastive-representation-distillation-2012.08674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-contrastive-representation-distillation-2012.08674"/></url>
<url><loc>https://scifaro.com/en/abs/policy-manifold-search-for-improving-diversity-based-neuroevolution-2012.08676</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-manifold-search-for-improving-diversity-based-neuroevolution-2012.08676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-manifold-search-for-improving-diversity-based-neuroevolution-2012.08676"/></url>
<url><loc>https://scifaro.com/en/abs/inexact-admm-based-federated-meta-learning-for-fast-and-continual-edge-learning-2012.08677</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inexact-admm-based-federated-meta-learning-for-fast-and-continual-edge-learning-2012.08677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inexact-admm-based-federated-meta-learning-for-fast-and-continual-edge-learning-2012.08677"/></url>
<url><loc>https://scifaro.com/en/abs/edge-entropy-as-an-indicator-of-the-effectiveness-of-gnns-over-cnns-for-node-classification-2012.08698</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edge-entropy-as-an-indicator-of-the-effectiveness-of-gnns-over-cnns-for-node-classification-2012.08698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edge-entropy-as-an-indicator-of-the-effectiveness-of-gnns-over-cnns-for-node-classification-2012.08698"/></url>
<url><loc>https://scifaro.com/en/abs/aist-an-interpretable-attention-based-deep-learning-model-for-crime-prediction-2012.08713</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aist-an-interpretable-attention-based-deep-learning-model-for-crime-prediction-2012.08713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aist-an-interpretable-attention-based-deep-learning-model-for-crime-prediction-2012.08713"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-graph-neural-networks-architecture-design-from-global-pyramid-like-shrinkage-skeleton-to-local-topology-link-rewiring-2012.08717</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-graph-neural-networks-architecture-design-from-global-pyramid-like-shrinkage-skeleton-to-local-topology-link-rewiring-2012.08717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-graph-neural-networks-architecture-design-from-global-pyramid-like-shrinkage-skeleton-to-local-topology-link-rewiring-2012.08717"/></url>
<url><loc>https://scifaro.com/en/abs/exacerbating-algorithmic-bias-through-fairness-attacks-2012.08723</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exacerbating-algorithmic-bias-through-fairness-attacks-2012.08723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exacerbating-algorithmic-bias-through-fairness-attacks-2012.08723"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-graph-capsule-network-2012.08734</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-graph-capsule-network-2012.08734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-graph-capsule-network-2012.08734"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-clustering-on-dynamic-graphs-with-recurrent-graph-neural-networks-2012.08740</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-clustering-on-dynamic-graphs-with-recurrent-graph-neural-networks-2012.08740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-clustering-on-dynamic-graphs-with-recurrent-graph-neural-networks-2012.08740"/></url>
<url><loc>https://scifaro.com/en/abs/provable-benefits-of-overparameterization-in-model-compression-from-double-descent-to-pruning-neural-networks-2012.08749</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-benefits-of-overparameterization-in-model-compression-from-double-descent-to-pruning-neural-networks-2012.08749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-benefits-of-overparameterization-in-model-compression-from-double-descent-to-pruning-neural-networks-2012.08749"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-taxonomy-advances-and-trends-2012.08752</loc><lastmod>2022-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-taxonomy-advances-and-trends-2012.08752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-taxonomy-advances-and-trends-2012.08752"/></url>
<url><loc>https://scifaro.com/en/abs/minirocket-a-very-fast-almost-deterministic-transform-for-time-series-classification-2012.08791</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minirocket-a-very-fast-almost-deterministic-transform-for-time-series-classification-2012.08791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minirocket-a-very-fast-almost-deterministic-transform-for-time-series-classification-2012.08791"/></url>
<url><loc>https://scifaro.com/en/abs/study-on-the-large-batch-size-training-of-neural-networks-based-on-the-second-order-gradient-2012.08795</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/study-on-the-large-batch-size-training-of-neural-networks-based-on-the-second-order-gradient-2012.08795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/study-on-the-large-batch-size-training-of-neural-networks-based-on-the-second-order-gradient-2012.08795"/></url>
<url><loc>https://scifaro.com/en/abs/more-industry-friendly-federated-learning-with-high-efficient-design-2012.08809</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/more-industry-friendly-federated-learning-with-high-efficient-design-2012.08809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/more-industry-friendly-federated-learning-with-high-efficient-design-2012.08809"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-gesture-recognition-from-semg-sensor-data-with-recurrent-neural-networks-and-adversarial-domain-adaptation-2012.08816</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-gesture-recognition-from-semg-sensor-data-with-recurrent-neural-networks-and-adversarial-domain-adaptation-2012.08816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-gesture-recognition-from-semg-sensor-data-with-recurrent-neural-networks-and-adversarial-domain-adaptation-2012.08816"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-run-with-potential-based-reward-shaping-and-demonstrations-from-video-data-2012.08824</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-run-with-potential-based-reward-shaping-and-demonstrations-from-video-data-2012.08824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-run-with-potential-based-reward-shaping-and-demonstrations-from-video-data-2012.08824"/></url>
<url><loc>https://scifaro.com/en/abs/using-noise-resilience-for-ranking-generalization-of-deep-neural-networks-2012.08854</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-noise-resilience-for-ranking-generalization-of-deep-neural-networks-2012.08854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-noise-resilience-for-ranking-generalization-of-deep-neural-networks-2012.08854"/></url>
<url><loc>https://scifaro.com/en/abs/time-aware-tensor-decomposition-for-missing-entry-prediction-2012.08855</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-aware-tensor-decomposition-for-missing-entry-prediction-2012.08855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-aware-tensor-decomposition-for-missing-entry-prediction-2012.08855"/></url>
<url><loc>https://scifaro.com/en/abs/distilling-optimal-neural-networks-rapid-search-in-diverse-spaces-2012.08859</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilling-optimal-neural-networks-rapid-search-in-diverse-spaces-2012.08859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilling-optimal-neural-networks-rapid-search-in-diverse-spaces-2012.08859"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-verification-of-neural-odes-with-stochastic-guarantees-2012.08863</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-verification-of-neural-odes-with-stochastic-guarantees-2012.08863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-verification-of-neural-odes-with-stochastic-guarantees-2012.08863"/></url>
<url><loc>https://scifaro.com/en/abs/using-spatio-temporal-deep-learning-for-forecasting-demand-and-supply-demand-gap-in-ride-hailing-system-with-anonymised-spatial-adjacency-information-2012.08868</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-spatio-temporal-deep-learning-for-forecasting-demand-and-supply-demand-gap-in-ride-hailing-system-with-anonymised-spatial-adjacency-information-2012.08868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-spatio-temporal-deep-learning-for-forecasting-demand-and-supply-demand-gap-in-ride-hailing-system-with-anonymised-spatial-adjacency-information-2012.08868"/></url>
<url><loc>https://scifaro.com/en/abs/reintel-a-multimodal-data-challenge-for-responsible-information-identification-on-social-network-sites-2012.08895</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reintel-a-multimodal-data-challenge-for-responsible-information-identification-on-social-network-sites-2012.08895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reintel-a-multimodal-data-challenge-for-responsible-information-identification-on-social-network-sites-2012.08895"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-multi-task-diffractive-deep-neural-networks-via-hardware-software-co-design-2012.08906</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-multi-task-diffractive-deep-neural-networks-via-hardware-software-co-design-2012.08906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-multi-task-diffractive-deep-neural-networks-via-hardware-software-co-design-2012.08906"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-ensemble-meets-low-rank-tensor-approximation-2012.08916</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-ensemble-meets-low-rank-tensor-approximation-2012.08916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-ensemble-meets-low-rank-tensor-approximation-2012.08916"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-step-counting-using-wearable-sensors-a-domain-adapted-lstm-network-approach-2012.08975</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-step-counting-using-wearable-sensors-a-domain-adapted-lstm-network-approach-2012.08975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-step-counting-using-wearable-sensors-a-domain-adapted-lstm-network-approach-2012.08975"/></url>
<url><loc>https://scifaro.com/en/abs/batch-constrained-distributional-reinforcement-learning-for-session-based-recommendation-2012.08984</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-constrained-distributional-reinforcement-learning-for-session-based-recommendation-2012.08984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-constrained-distributional-reinforcement-learning-for-session-based-recommendation-2012.08984"/></url>
<url><loc>https://scifaro.com/en/abs/copula-based-synthetic-data-augmentation-for-machine-learning-emulators-2012.09037</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copula-based-synthetic-data-augmentation-for-machine-learning-emulators-2012.09037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copula-based-synthetic-data-augmentation-for-machine-learning-emulators-2012.09037"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-adr-mechanisms-with-knowledge-graph-mining-and-explainable-ai-2012.09077</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-adr-mechanisms-with-knowledge-graph-mining-and-explainable-ai-2012.09077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-adr-mechanisms-with-knowledge-graph-mining-and-explainable-ai-2012.09077"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-via-counterfactual-based-data-augmentation-2012.09092</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-via-counterfactual-based-data-augmentation-2012.09092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-via-counterfactual-based-data-augmentation-2012.09092"/></url>
<url><loc>https://scifaro.com/en/abs/fedadc-accelerated-federated-learning-with-drift-control-2012.09102</loc><lastmod>2022-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedadc-accelerated-federated-learning-with-drift-control-2012.09102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedadc-accelerated-federated-learning-with-drift-control-2012.09102"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-generalization-in-deep-learning-via-metric-learning-pgdl-shared-task-2012.09117</loc><lastmod>2020-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-generalization-in-deep-learning-via-metric-learning-pgdl-shared-task-2012.09117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-generalization-in-deep-learning-via-metric-learning-pgdl-shared-task-2012.09117"/></url>
<url><loc>https://scifaro.com/en/abs/learning-accurate-long-term-dynamics-for-model-based-reinforcement-learning-2012.09156</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-accurate-long-term-dynamics-for-model-based-reinforcement-learning-2012.09156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-accurate-long-term-dynamics-for-model-based-reinforcement-learning-2012.09156"/></url>
<url><loc>https://scifaro.com/en/abs/relational-boosted-bandits-2012.09220</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-boosted-bandits-2012.09220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-boosted-bandits-2012.09220"/></url>
<url><loc>https://scifaro.com/en/abs/data-optimization-for-large-batch-distributed-training-of-deep-neural-networks-2012.09272</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-optimization-for-large-batch-distributed-training-of-deep-neural-networks-2012.09272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-optimization-for-large-batch-distributed-training-of-deep-neural-networks-2012.09272"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-disentanglement-a-review-of-metrics-2012.09276</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-disentanglement-a-review-of-metrics-2012.09276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-disentanglement-a-review-of-metrics-2012.09276"/></url>
<url><loc>https://scifaro.com/en/abs/latent-cf-a-simple-baseline-for-reverse-counterfactual-explanations-2012.09301</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-cf-a-simple-baseline-for-reverse-counterfactual-explanations-2012.09301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-cf-a-simple-baseline-for-reverse-counterfactual-explanations-2012.09301"/></url>
<url><loc>https://scifaro.com/en/abs/trojanzoo-towards-unified-holistic-and-practical-evaluation-of-neural-backdoors-2012.09302</loc><lastmod>2022-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trojanzoo-towards-unified-holistic-and-practical-evaluation-of-neural-backdoors-2012.09302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trojanzoo-towards-unified-holistic-and-practical-evaluation-of-neural-backdoors-2012.09302"/></url>
<url><loc>https://scifaro.com/en/abs/generate-and-verify-semantically-meaningful-formal-analysis-of-neural-network-perception-systems-2012.09313</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generate-and-verify-semantically-meaningful-formal-analysis-of-neural-network-perception-systems-2012.09313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generate-and-verify-semantically-meaningful-formal-analysis-of-neural-network-perception-systems-2012.09313"/></url>
<url><loc>https://scifaro.com/en/abs/series-saliency-temporal-interpretation-for-multivariate-time-series-forecasting-2012.09324</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/series-saliency-temporal-interpretation-for-multivariate-time-series-forecasting-2012.09324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/series-saliency-temporal-interpretation-for-multivariate-time-series-forecasting-2012.09324"/></url>
<url><loc>https://scifaro.com/en/abs/towards-scalable-and-privacy-preserving-deep-neural-network-via-algorithmic-cryptographic-co-design-2012.09364</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-scalable-and-privacy-preserving-deep-neural-network-via-algorithmic-cryptographic-co-design-2012.09364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-scalable-and-privacy-preserving-deep-neural-network-via-algorithmic-cryptographic-co-design-2012.09364"/></url>
<url><loc>https://scifaro.com/en/abs/decaug-out-of-distribution-generalization-via-decomposed-feature-representation-and-semantic-augmentation-2012.09382</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decaug-out-of-distribution-generalization-via-decomposed-feature-representation-and-semantic-augmentation-2012.09382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decaug-out-of-distribution-generalization-via-decomposed-feature-representation-and-semantic-augmentation-2012.09382"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-limitations-of-denoising-strategies-as-adversarial-defenses-2012.09384</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-limitations-of-denoising-strategies-as-adversarial-defenses-2012.09384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-limitations-of-denoising-strategies-as-adversarial-defenses-2012.09384"/></url>
<url><loc>https://scifaro.com/en/abs/a-contrast-synthesized-thalamic-nuclei-segmentation-scheme-using-convolutional-neural-networks-2012.09386</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-contrast-synthesized-thalamic-nuclei-segmentation-scheme-using-convolutional-neural-networks-2012.09386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-contrast-synthesized-thalamic-nuclei-segmentation-scheme-using-convolutional-neural-networks-2012.09386"/></url>
<url><loc>https://scifaro.com/en/abs/masker-masked-keyword-regularization-for-reliable-text-classification-2012.09392</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/masker-masked-keyword-regularization-for-reliable-text-classification-2012.09392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/masker-masked-keyword-regularization-for-reliable-text-classification-2012.09392"/></url>
<url><loc>https://scifaro.com/en/abs/metrical-task-systems-with-online-machine-learned-advice-2012.09394</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metrical-task-systems-with-online-machine-learned-advice-2012.09394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metrical-task-systems-with-online-machine-learned-advice-2012.09394"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-compositional-gradient-descent-under-compositional-constraints-2012.09400</loc><lastmod>2022-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-compositional-gradient-descent-under-compositional-constraints-2012.09400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-compositional-gradient-descent-under-compositional-constraints-2012.09400"/></url>
<url><loc>https://scifaro.com/en/abs/joint-search-of-data-augmentation-policies-and-network-architectures-2012.09407</loc><lastmod>2021-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-search-of-data-augmentation-policies-and-network-architectures-2012.09407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-search-of-data-augmentation-policies-and-network-architectures-2012.09407"/></url>
<url><loc>https://scifaro.com/en/abs/learning-fair-policies-in-decentralized-cooperative-multi-agent-reinforcement-learning-2012.09421</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-fair-policies-in-decentralized-cooperative-multi-agent-reinforcement-learning-2012.09421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-fair-policies-in-decentralized-cooperative-multi-agent-reinforcement-learning-2012.09421"/></url>
<url><loc>https://scifaro.com/en/abs/the-variational-method-of-moments-2012.09422</loc><lastmod>2023-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-variational-method-of-moments-2012.09422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-variational-method-of-moments-2012.09422"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-the-evasion-attackability-of-multi-label-classifiers-2012.09427</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-the-evasion-attackability-of-multi-label-classifiers-2012.09427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-the-evasion-attackability-of-multi-label-classifiers-2012.09427"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-algorithm-for-heart-disease-prediction-using-bayesian-network-model-2012.09429</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-algorithm-for-heart-disease-prediction-using-bayesian-network-model-2012.09429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-algorithm-for-heart-disease-prediction-using-bayesian-network-model-2012.09429"/></url>
<url><loc>https://scifaro.com/en/abs/stabilizing-q-learning-via-soft-mellowmax-operator-2012.09456</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilizing-q-learning-via-soft-mellowmax-operator-2012.09456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilizing-q-learning-via-soft-mellowmax-operator-2012.09456"/></url>
<url><loc>https://scifaro.com/en/abs/experts-with-lower-bounded-loss-feedback-a-unifying-framework-2012.09537</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/experts-with-lower-bounded-loss-feedback-a-unifying-framework-2012.09537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/experts-with-lower-bounded-loss-feedback-a-unifying-framework-2012.09537"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-sequence-learning-with-transformers-2012.09543</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-sequence-learning-with-transformers-2012.09543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-sequence-learning-with-transformers-2012.09543"/></url>
<url><loc>https://scifaro.com/en/abs/task-uncertainty-loss-reduce-negative-transfer-in-asymmetric-multi-task-feature-learning-2012.09575</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-uncertainty-loss-reduce-negative-transfer-in-asymmetric-multi-task-feature-learning-2012.09575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-uncertainty-loss-reduce-negative-transfer-in-asymmetric-multi-task-feature-learning-2012.09575"/></url>
<url><loc>https://scifaro.com/en/abs/sensitive-data-detection-with-high-throughput-neural-network-models-for-financial-institutions-2012.09597</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensitive-data-detection-with-high-throughput-neural-network-models-for-financial-institutions-2012.09597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensitive-data-detection-with-high-throughput-neural-network-models-for-financial-institutions-2012.09597"/></url>
<url><loc>https://scifaro.com/en/abs/deep-fusion-clustering-network-2012.09600</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-fusion-clustering-network-2012.09600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-fusion-clustering-network-2012.09600"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-the-neural-network-dependability-kit-in-real-world-environments-2012.09602</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-the-neural-network-dependability-kit-in-real-world-environments-2012.09602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-the-neural-network-dependability-kit-in-real-world-environments-2012.09602"/></url>
<url><loc>https://scifaro.com/en/abs/sparsifying-networks-by-traversing-geodesics-2012.09605</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsifying-networks-by-traversing-geodesics-2012.09605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsifying-networks-by-traversing-geodesics-2012.09605"/></url>
<url><loc>https://scifaro.com/en/abs/kernelized-classification-in-deep-networks-2012.09607</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernelized-classification-in-deep-networks-2012.09607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernelized-classification-in-deep-networks-2012.09607"/></url>
<url><loc>https://scifaro.com/en/abs/cost-sensitive-hierarchical-clustering-for-dynamic-classifier-selection-2012.09608</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-sensitive-hierarchical-clustering-for-dynamic-classifier-selection-2012.09608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-sensitive-hierarchical-clustering-for-dynamic-classifier-selection-2012.09608"/></url>
<url><loc>https://scifaro.com/en/abs/draw-your-neural-networks-2012.09609</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/draw-your-neural-networks-2012.09609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/draw-your-neural-networks-2012.09609"/></url>
<url><loc>https://scifaro.com/en/abs/validate-and-enable-machine-learning-in-industrial-ai-2012.09610</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/validate-and-enable-machine-learning-in-industrial-ai-2012.09610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/validate-and-enable-machine-learning-in-industrial-ai-2012.09610"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-reinforcement-learning-for-continuous-control-with-posterior-sampling-2012.09613</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-for-continuous-control-with-posterior-sampling-2012.09613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-for-continuous-control-with-posterior-sampling-2012.09613"/></url>
<url><loc>https://scifaro.com/en/abs/who-is-more-ready-to-get-back-in-shape-2012.09617</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/who-is-more-ready-to-get-back-in-shape-2012.09617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/who-is-more-ready-to-get-back-in-shape-2012.09617"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-solve-ac-optimal-power-flow-by-differentiating-through-holomorphic-embeddings-2012.09622</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-solve-ac-optimal-power-flow-by-differentiating-through-holomorphic-embeddings-2012.09622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-solve-ac-optimal-power-flow-by-differentiating-through-holomorphic-embeddings-2012.09622"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-k-means-with-local-models-2012.09630</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-k-means-with-local-models-2012.09630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-k-means-with-local-models-2012.09630"/></url>
<url><loc>https://scifaro.com/en/abs/learning-active-learning-at-the-crossroads-evaluation-and-discussion-2012.09631</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-active-learning-at-the-crossroads-evaluation-and-discussion-2012.09631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-active-learning-at-the-crossroads-evaluation-and-discussion-2012.09631"/></url>
<url><loc>https://scifaro.com/en/abs/from-weakly-supervised-learning-to-biquality-learning-an-introduction-2012.09632</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-weakly-supervised-learning-to-biquality-learning-an-introduction-2012.09632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-weakly-supervised-learning-to-biquality-learning-an-introduction-2012.09632"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-temporal-fusion-graph-neural-networks-for-traffic-flow-forecasting-2012.09641</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-temporal-fusion-graph-neural-networks-for-traffic-flow-forecasting-2012.09641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-temporal-fusion-graph-neural-networks-for-traffic-flow-forecasting-2012.09641"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-importance-of-diversity-in-re-sampling-for-imbalanced-data-and-rare-events-in-mortality-risk-models-2012.09645</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-importance-of-diversity-in-re-sampling-for-imbalanced-data-and-rare-events-in-mortality-risk-models-2012.09645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-importance-of-diversity-in-re-sampling-for-imbalanced-data-and-rare-events-in-mortality-risk-models-2012.09645"/></url>
<url><loc>https://scifaro.com/en/abs/rainbench-towards-global-precipitation-forecasting-from-satellite-imagery-2012.09670</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rainbench-towards-global-precipitation-forecasting-from-satellite-imagery-2012.09670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rainbench-towards-global-precipitation-forecasting-from-satellite-imagery-2012.09670"/></url>
<url><loc>https://scifaro.com/en/abs/combating-mode-collapse-in-gan-training-an-empirical-analysis-using-hessian-eigenvalues-2012.09673</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combating-mode-collapse-in-gan-training-an-empirical-analysis-using-hessian-eigenvalues-2012.09673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combating-mode-collapse-in-gan-training-an-empirical-analysis-using-hessian-eigenvalues-2012.09673"/></url>
<url><loc>https://scifaro.com/en/abs/polynomial-time-algorithms-for-counting-and-sampling-markov-equivalent-dags-2012.09679</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polynomial-time-algorithms-for-counting-and-sampling-markov-equivalent-dags-2012.09679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polynomial-time-algorithms-for-counting-and-sampling-markov-equivalent-dags-2012.09679"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalization-of-transformer-networks-to-graphs-2012.09699</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalization-of-transformer-networks-to-graphs-2012.09699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalization-of-transformer-networks-to-graphs-2012.09699"/></url>
<url><loc>https://scifaro.com/en/abs/deep-molecular-dreaming-inverse-machine-learning-for-de-novo-molecular-design-and-interpretability-with-surjective-representations-2012.09712</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-molecular-dreaming-inverse-machine-learning-for-de-novo-molecular-design-and-interpretability-with-surjective-representations-2012.09712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-molecular-dreaming-inverse-machine-learning-for-de-novo-molecular-design-and-interpretability-with-surjective-representations-2012.09712"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-statistical-query-hardness-of-learning-halfspaces-with-massart-noise-2012.09720</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-statistical-query-hardness-of-learning-halfspaces-with-massart-noise-2012.09720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-statistical-query-hardness-of-learning-halfspaces-with-massart-noise-2012.09720"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-optimizing-the-ratio-of-monotone-supermodular-functions-2012.09725</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-optimizing-the-ratio-of-monotone-supermodular-functions-2012.09725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-optimizing-the-ratio-of-monotone-supermodular-functions-2012.09725"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-and-bayesian-ensembling-model-based-deep-reinforcement-learning-for-particle-accelerator-control-demonstrated-on-the-fermi-fel-2012.09737</loc><lastmod>2022-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-and-bayesian-ensembling-model-based-deep-reinforcement-learning-for-particle-accelerator-control-demonstrated-on-the-fermi-fel-2012.09737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-and-bayesian-ensembling-model-based-deep-reinforcement-learning-for-particle-accelerator-control-demonstrated-on-the-fermi-fel-2012.09737"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-behaviour-of-contrastive-loss-2012.09740</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-behaviour-of-contrastive-loss-2012.09740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-behaviour-of-contrastive-loss-2012.09740"/></url>
<url><loc>https://scifaro.com/en/abs/magnet-multi-agent-graph-network-for-deep-multi-agent-reinforcement-learning-2012.09762</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/magnet-multi-agent-graph-network-for-deep-multi-agent-reinforcement-learning-2012.09762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/magnet-multi-agent-graph-network-for-deep-multi-agent-reinforcement-learning-2012.09762"/></url>
<url><loc>https://scifaro.com/en/abs/densehmm-learning-hidden-markov-models-by-learning-dense-representations-2012.09783</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/densehmm-learning-hidden-markov-models-by-learning-dense-representations-2012.09783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/densehmm-learning-hidden-markov-models-by-learning-dense-representations-2012.09783"/></url>
<url><loc>https://scifaro.com/en/abs/use-of-bayesian-nonparametric-methods-for-estimating-the-measurements-in-high-clutter-2012.09785</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/use-of-bayesian-nonparametric-methods-for-estimating-the-measurements-in-high-clutter-2012.09785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/use-of-bayesian-nonparametric-methods-for-estimating-the-measurements-in-high-clutter-2012.09785"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-ensemble-knowledge-distillation-and-self-distillation-in-deep-learning-2012.09816</loc><lastmod>2023-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-ensemble-knowledge-distillation-and-self-distillation-in-deep-learning-2012.09816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-ensemble-knowledge-distillation-and-self-distillation-in-deep-learning-2012.09816"/></url>
<url><loc>https://scifaro.com/en/abs/autotelic-agents-with-intrinsically-motivated-goal-conditioned-reinforcement-learning-a-short-survey-2012.09830</loc><lastmod>2026-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autotelic-agents-with-intrinsically-motivated-goal-conditioned-reinforcement-learning-a-short-survey-2012.09830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autotelic-agents-with-intrinsically-motivated-goal-conditioned-reinforcement-learning-a-short-survey-2012.09830"/></url>
<url><loc>https://scifaro.com/en/abs/on-episodes-prototypical-networks-and-few-shot-learning-2012.09831</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-episodes-prototypical-networks-and-few-shot-learning-2012.09831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-episodes-prototypical-networks-and-few-shot-learning-2012.09831"/></url>
<url><loc>https://scifaro.com/en/abs/towards-resolving-the-implicit-bias-of-gradient-descent-for-matrix-factorization-greedy-low-rank-learning-2012.09839</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-resolving-the-implicit-bias-of-gradient-descent-for-matrix-factorization-greedy-low-rank-learning-2012.09839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-resolving-the-implicit-bias-of-gradient-descent-for-matrix-factorization-greedy-low-rank-learning-2012.09839"/></url>
<url><loc>https://scifaro.com/en/abs/high-throughput-synchronous-deep-rl-2012.09849</loc><lastmod>2020-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-throughput-synchronous-deep-rl-2012.09849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-throughput-synchronous-deep-rl-2012.09849"/></url>
<url><loc>https://scifaro.com/en/abs/treatment-targeting-by-auuc-maximization-with-generalization-guarantees-2012.09897</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/treatment-targeting-by-auuc-maximization-with-generalization-guarantees-2012.09897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/treatment-targeting-by-auuc-maximization-with-generalization-guarantees-2012.09897"/></url>
<url><loc>https://scifaro.com/en/abs/reduced-order-modeling-using-shallow-relu-networks-with-grassmann-layers-2012.09940</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reduced-order-modeling-using-shallow-relu-networks-with-grassmann-layers-2012.09940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reduced-order-modeling-using-shallow-relu-networks-with-grassmann-layers-2012.09940"/></url>
<url><loc>https://scifaro.com/en/abs/fairkit-fairkit-on-the-wall-who-s-the-fairest-of-them-all-supporting-data-scientists-in-training-fair-models-2012.09951</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairkit-fairkit-on-the-wall-who-s-the-fairest-of-them-all-supporting-data-scientists-in-training-fair-models-2012.09951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairkit-fairkit-on-the-wall-who-s-the-fairest-of-them-all-supporting-data-scientists-in-training-fair-models-2012.09951"/></url>
<url><loc>https://scifaro.com/en/abs/addressing-feature-suppression-in-unsupervised-visual-representations-2012.09962</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addressing-feature-suppression-in-unsupervised-visual-representations-2012.09962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addressing-feature-suppression-in-unsupervised-visual-representations-2012.09962"/></url>
<url><loc>https://scifaro.com/en/abs/handling-uncertainty-using-features-from-pathology-opportunities-in-primary-care-data-for-developing-high-risk-cancer-survival-methods-2012.09976</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/handling-uncertainty-using-features-from-pathology-opportunities-in-primary-care-data-for-developing-high-risk-cancer-survival-methods-2012.09976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/handling-uncertainty-using-features-from-pathology-opportunities-in-primary-care-data-for-developing-high-risk-cancer-survival-methods-2012.09976"/></url>
<url><loc>https://scifaro.com/en/abs/deep-embedded-clustering-of-coral-reef-bioacoustics-2012.09982</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-embedded-clustering-of-coral-reef-bioacoustics-2012.09982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-embedded-clustering-of-coral-reef-bioacoustics-2012.09982"/></url>
<url><loc>https://scifaro.com/en/abs/ergan-generative-adversarial-networks-for-entity-resolution-2012.10004</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ergan-generative-adversarial-networks-for-entity-resolution-2012.10004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ergan-generative-adversarial-networks-for-entity-resolution-2012.10004"/></url>
<url><loc>https://scifaro.com/en/abs/eva-generating-longitudinal-electronic-health-records-using-conditional-variational-autoencoders-2012.10020</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eva-generating-longitudinal-electronic-health-records-using-conditional-variational-autoencoders-2012.10020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eva-generating-longitudinal-electronic-health-records-using-conditional-variational-autoencoders-2012.10020"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-meta-path-contexts-for-classification-in-heterogeneous-information-networks-2012.10024</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-meta-path-contexts-for-classification-in-heterogeneous-information-networks-2012.10024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-meta-path-contexts-for-classification-in-heterogeneous-information-networks-2012.10024"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-to-spurious-correlations-in-text-classification-via-automatically-generated-counterfactuals-2012.10040</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-to-spurious-correlations-in-text-classification-via-automatically-generated-counterfactuals-2012.10040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-to-spurious-correlations-in-text-classification-via-automatically-generated-counterfactuals-2012.10040"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-eigenvector-bias-of-fourier-feature-networks-from-regression-to-solving-multi-scale-pdes-with-physics-informed-neural-networks-2012.10047</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-eigenvector-bias-of-fourier-feature-networks-from-regression-to-solving-multi-scale-pdes-with-physics-informed-neural-networks-2012.10047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-eigenvector-bias-of-fourier-feature-networks-from-regression-to-solving-multi-scale-pdes-with-physics-informed-neural-networks-2012.10047"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-based-automatic-model-creation-tool-for-resource-constraint-devices-2012.10056</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-based-automatic-model-creation-tool-for-resource-constraint-devices-2012.10056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-based-automatic-model-creation-tool-for-resource-constraint-devices-2012.10056"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-and-accuracy-in-federated-learning-2012.10069</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-and-accuracy-in-federated-learning-2012.10069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-and-accuracy-in-federated-learning-2012.10069"/></url>
<url><loc>https://scifaro.com/en/abs/enabling-retrain-free-deep-neural-network-pruning-using-surrogate-lagrangian-relaxation-2012.10079</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enabling-retrain-free-deep-neural-network-pruning-using-surrogate-lagrangian-relaxation-2012.10079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enabling-retrain-free-deep-neural-network-pruning-using-surrogate-lagrangian-relaxation-2012.10079"/></url>
<url><loc>https://scifaro.com/en/abs/voronoi-progressive-widening-efficient-online-solvers-for-continuous-state-action-and-observation-pomdps-2012.10140</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/voronoi-progressive-widening-efficient-online-solvers-for-continuous-state-action-and-observation-pomdps-2012.10140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/voronoi-progressive-widening-efficient-online-solvers-for-continuous-state-action-and-observation-pomdps-2012.10140"/></url>
<url><loc>https://scifaro.com/en/abs/exact-reduction-of-huge-action-spaces-in-general-reinforcement-learning-2012.10200</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-reduction-of-huge-action-spaces-in-general-reinforcement-learning-2012.10200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-reduction-of-huge-action-spaces-in-general-reinforcement-learning-2012.10200"/></url>
<url><loc>https://scifaro.com/en/abs/classification-with-strategically-withheld-data-2012.10203</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-with-strategically-withheld-data-2012.10203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-with-strategically-withheld-data-2012.10203"/></url>
<url><loc>https://scifaro.com/en/abs/fair-for-all-best-effort-fairness-guarantees-for-classification-2012.10216</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-for-all-best-effort-fairness-guarantees-for-classification-2012.10216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-for-all-best-effort-fairness-guarantees-for-classification-2012.10216"/></url>
<url><loc>https://scifaro.com/en/abs/an-experimental-study-of-the-transferability-of-spectral-graph-networks-2012.10258</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-experimental-study-of-the-transferability-of-spectral-graph-networks-2012.10258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-experimental-study-of-the-transferability-of-spectral-graph-networks-2012.10258"/></url>
<url><loc>https://scifaro.com/en/abs/spacecraft-collision-risk-assessment-with-probabilistic-programming-2012.10260</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spacecraft-collision-risk-assessment-with-probabilistic-programming-2012.10260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spacecraft-collision-risk-assessment-with-probabilistic-programming-2012.10260"/></url>
<url><loc>https://scifaro.com/en/abs/roby-evaluating-the-robustness-of-a-deep-model-by-its-decision-boundaries-2012.10282</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/roby-evaluating-the-robustness-of-a-deep-model-by-its-decision-boundaries-2012.10282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/roby-evaluating-the-robustness-of-a-deep-model-by-its-decision-boundaries-2012.10282"/></url>
<url><loc>https://scifaro.com/en/abs/the-danger-of-reverse-engineering-of-automated-judicial-decision-making-systems-2012.10301</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-danger-of-reverse-engineering-of-automated-judicial-decision-making-systems-2012.10301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-danger-of-reverse-engineering-of-automated-judicial-decision-making-systems-2012.10301"/></url>
<url><loc>https://scifaro.com/en/abs/multi-characteristic-subject-selection-from-biased-datasets-2012.10311</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-characteristic-subject-selection-from-biased-datasets-2012.10311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-characteristic-subject-selection-from-biased-datasets-2012.10311"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-history-for-byzantine-robust-optimization-2012.10333</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-history-for-byzantine-robust-optimization-2012.10333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-history-for-byzantine-robust-optimization-2012.10333"/></url>
<url><loc>https://scifaro.com/en/abs/solving-black-box-optimization-challenge-via-learning-search-space-partition-for-local-bayesian-optimization-2012.10335</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-black-box-optimization-challenge-via-learning-search-space-partition-for-local-bayesian-optimization-2012.10335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-black-box-optimization-challenge-via-learning-search-space-partition-for-local-bayesian-optimization-2012.10335"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-computer-simulation-results-and-machine-learning-in-analysis-of-microwave-radiothermometry-data-2012.10343</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-computer-simulation-results-and-machine-learning-in-analysis-of-microwave-radiothermometry-data-2012.10343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-computer-simulation-results-and-machine-learning-in-analysis-of-microwave-radiothermometry-data-2012.10343"/></url>
<url><loc>https://scifaro.com/en/abs/small-business-classification-by-name-addressing-gender-and-geographic-origin-biases-2012.10348</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-business-classification-by-name-addressing-gender-and-geographic-origin-biases-2012.10348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-business-classification-by-name-addressing-gender-and-geographic-origin-biases-2012.10348"/></url>
<url><loc>https://scifaro.com/en/abs/universal-approximation-in-dropout-neural-networks-2012.10351</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-approximation-in-dropout-neural-networks-2012.10351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-approximation-in-dropout-neural-networks-2012.10351"/></url>
<url><loc>https://scifaro.com/en/abs/upper-and-lower-bounds-on-the-performance-of-kernel-pca-2012.10369</loc><lastmod>2023-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/upper-and-lower-bounds-on-the-performance-of-kernel-pca-2012.10369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/upper-and-lower-bounds-on-the-performance-of-kernel-pca-2012.10369"/></url>
<url><loc>https://scifaro.com/en/abs/separation-and-concentration-in-deep-networks-2012.10424</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/separation-and-concentration-in-deep-networks-2012.10424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/separation-and-concentration-in-deep-networks-2012.10424"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-explanations-for-deep-neural-networks-2012.10425</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-explanations-for-deep-neural-networks-2012.10425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-explanations-for-deep-neural-networks-2012.10425"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-training-of-robust-decision-trees-against-adversarial-examples-2012.10438</loc><lastmod>2020-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-training-of-robust-decision-trees-against-adversarial-examples-2012.10438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-training-of-robust-decision-trees-against-adversarial-examples-2012.10438"/></url>
<url><loc>https://scifaro.com/en/abs/rails-a-robust-adversarial-immune-inspired-learning-system-2012.10485</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rails-a-robust-adversarial-immune-inspired-learning-system-2012.10485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rails-a-robust-adversarial-immune-inspired-learning-system-2012.10485"/></url>
<url><loc>https://scifaro.com/en/abs/citylearn-standardizing-research-in-multi-agent-reinforcement-learning-for-demand-response-and-urban-energy-management-2012.10504</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/citylearn-standardizing-research-in-multi-agent-reinforcement-learning-for-demand-response-and-urban-energy-management-2012.10504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/citylearn-standardizing-research-in-multi-agent-reinforcement-learning-for-demand-response-and-urban-energy-management-2012.10504"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-applications-using-diffusion-tensor-imaging-of-human-brain-a-pubmed-literature-review-2012.10517</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-applications-using-diffusion-tensor-imaging-of-human-brain-a-pubmed-literature-review-2012.10517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-applications-using-diffusion-tensor-imaging-of-human-brain-a-pubmed-literature-review-2012.10517"/></url>
<url><loc>https://scifaro.com/en/abs/a-graph-attention-based-approach-for-trajectory-prediction-in-multi-agent-sports-games-2012.10531</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-graph-attention-based-approach-for-trajectory-prediction-in-multi-agent-sports-games-2012.10531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-graph-attention-based-approach-for-trajectory-prediction-in-multi-agent-sports-games-2012.10531"/></url>
<url><loc>https://scifaro.com/en/abs/biomedical-knowledge-graph-refinement-and-completion-using-graph-representation-learning-and-top-k-similarity-measure-2012.10540</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biomedical-knowledge-graph-refinement-and-completion-using-graph-representation-learning-and-top-k-similarity-measure-2012.10540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biomedical-knowledge-graph-refinement-and-completion-using-graph-representation-learning-and-top-k-similarity-measure-2012.10540"/></url>
<url><loc>https://scifaro.com/en/abs/dataset-security-for-machine-learning-data-poisoning-backdoor-attacks-and-defenses-2012.10544</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dataset-security-for-machine-learning-data-poisoning-backdoor-attacks-and-defenses-2012.10544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dataset-security-for-machine-learning-data-poisoning-backdoor-attacks-and-defenses-2012.10544"/></url>
<url><loc>https://scifaro.com/en/abs/nn-emd-efficiently-training-neural-networks-using-encrypted-multi-sourced-datasets-2012.10547</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nn-emd-efficiently-training-neural-networks-using-encrypted-multi-sourced-datasets-2012.10547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nn-emd-efficiently-training-neural-networks-using-encrypted-multi-sourced-datasets-2012.10547"/></url>
<url><loc>https://scifaro.com/en/abs/communication-aware-collaborative-learning-2012.10569</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-aware-collaborative-learning-2012.10569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-aware-collaborative-learning-2012.10569"/></url>
<url><loc>https://scifaro.com/en/abs/t-gap-learning-to-walk-across-time-for-temporal-knowledge-graph-completion-2012.10595</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/t-gap-learning-to-walk-across-time-for-temporal-knowledge-graph-completion-2012.10595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/t-gap-learning-to-walk-across-time-for-temporal-knowledge-graph-completion-2012.10595"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-and-provably-accurate-algorithms-for-differentially-private-distributed-decision-tree-learning-2012.10602</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-and-provably-accurate-algorithms-for-differentially-private-distributed-decision-tree-learning-2012.10602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-and-provably-accurate-algorithms-for-differentially-private-distributed-decision-tree-learning-2012.10602"/></url>
<url><loc>https://scifaro.com/en/abs/a-pipeline-for-fair-comparison-of-graph-neural-networks-in-node-classification-tasks-2012.10619</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pipeline-for-fair-comparison-of-graph-neural-networks-in-node-classification-tasks-2012.10619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pipeline-for-fair-comparison-of-graph-neural-networks-in-node-classification-tasks-2012.10619"/></url>
<url><loc>https://scifaro.com/en/abs/glister-generalization-based-data-subset-selection-for-efficient-and-robust-learning-2012.10630</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/glister-generalization-based-data-subset-selection-for-efficient-and-robust-learning-2012.10630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/glister-generalization-based-data-subset-selection-for-efficient-and-robust-learning-2012.10630"/></url>
<url><loc>https://scifaro.com/en/abs/multi-decoder-attention-model-with-embedding-glimpse-for-solving-vehicle-routing-problems-2012.10638</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-decoder-attention-model-with-embedding-glimpse-for-solving-vehicle-routing-problems-2012.10638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-decoder-attention-model-with-embedding-glimpse-for-solving-vehicle-routing-problems-2012.10638"/></url>
<url><loc>https://scifaro.com/en/abs/towards-coarse-and-fine-grained-multi-graph-multi-label-learning-2012.10650</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-coarse-and-fine-grained-multi-graph-multi-label-learning-2012.10650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-coarse-and-fine-grained-multi-graph-multi-label-learning-2012.10650"/></url>
<url><loc>https://scifaro.com/en/abs/generalize-a-small-pre-trained-model-to-arbitrarily-large-tsp-instances-2012.10658</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalize-a-small-pre-trained-model-to-arbitrarily-large-tsp-instances-2012.10658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalize-a-small-pre-trained-model-to-arbitrarily-large-tsp-instances-2012.10658"/></url>
<url><loc>https://scifaro.com/en/abs/top-k-ranking-bayesian-optimization-2012.10688</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/top-k-ranking-bayesian-optimization-2012.10688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/top-k-ranking-bayesian-optimization-2012.10688"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-theoretic-framework-for-unifying-active-learning-problems-2012.10695</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-theoretic-framework-for-unifying-active-learning-problems-2012.10695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-theoretic-framework-for-unifying-active-learning-problems-2012.10695"/></url>
<url><loc>https://scifaro.com/en/abs/fundamental-limits-and-tradeoffs-in-invariant-representation-learning-2012.10713</loc><lastmod>2022-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fundamental-limits-and-tradeoffs-in-invariant-representation-learning-2012.10713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fundamental-limits-and-tradeoffs-in-invariant-representation-learning-2012.10713"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-actor-critic-with-chance-constraint-for-stochastic-system-2012.10716</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-actor-critic-with-chance-constraint-for-stochastic-system-2012.10716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-actor-critic-with-chance-constraint-for-stochastic-system-2012.10716"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-narxnn-for-state-of-charge-estimation-for-li-ion-batteries-on-various-drive-cycles-2012.10725</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-narxnn-for-state-of-charge-estimation-for-li-ion-batteries-on-various-drive-cycles-2012.10725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-narxnn-for-state-of-charge-estimation-for-li-ion-batteries-on-various-drive-cycles-2012.10725"/></url>
<url><loc>https://scifaro.com/en/abs/optimising-placement-of-pollution-sensors-in-windy-environments-2012.10770</loc><lastmod>2022-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimising-placement-of-pollution-sensors-in-windy-environments-2012.10770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimising-placement-of-pollution-sensors-in-windy-environments-2012.10770"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-aware-policy-optimization-a-robust-adaptive-trust-region-approach-2012.10791</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-aware-policy-optimization-a-robust-adaptive-trust-region-approach-2012.10791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-aware-policy-optimization-a-robust-adaptive-trust-region-approach-2012.10791"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-power-of-localized-perceptron-for-label-optimal-learning-of-halfspaces-with-adversarial-noise-2012.10793</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-power-of-localized-perceptron-for-label-optimal-learning-of-halfspaces-with-adversarial-noise-2012.10793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-power-of-localized-perceptron-for-label-optimal-learning-of-halfspaces-with-adversarial-noise-2012.10793"/></url>
<url><loc>https://scifaro.com/en/abs/sample-complexity-of-adversarially-robust-linear-classification-on-separated-data-2012.10794</loc><lastmod>2023-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-complexity-of-adversarially-robust-linear-classification-on-separated-data-2012.10794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-complexity-of-adversarially-robust-linear-classification-on-separated-data-2012.10794"/></url>
<url><loc>https://scifaro.com/en/abs/suspicious-massive-registration-detection-via-dynamic-heterogeneous-graph-neural-networks-2012.10831</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/suspicious-massive-registration-detection-via-dynamic-heterogeneous-graph-neural-networks-2012.10831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/suspicious-massive-registration-detection-via-dynamic-heterogeneous-graph-neural-networks-2012.10831"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-the-performance-of-graph-neural-networks-with-pipe-parallelism-2012.10840</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-the-performance-of-graph-neural-networks-with-pipe-parallelism-2012.10840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-the-performance-of-graph-neural-networks-with-pipe-parallelism-2012.10840"/></url>
<url><loc>https://scifaro.com/en/abs/etree-learning-tree-structured-embeddings-2012.10853</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/etree-learning-tree-structured-embeddings-2012.10853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/etree-learning-tree-structured-embeddings-2012.10853"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-based-product-delivery-frequency-control-2012.10858</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-based-product-delivery-frequency-control-2012.10858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-based-product-delivery-frequency-control-2012.10858"/></url>
<url><loc>https://scifaro.com/en/abs/lietransformer-equivariant-self-attention-for-lie-groups-2012.10885</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lietransformer-equivariant-self-attention-for-lie-groups-2012.10885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lietransformer-equivariant-self-attention-for-lie-groups-2012.10885"/></url>
<url><loc>https://scifaro.com/en/abs/towards-trustworthy-predictions-from-deep-neural-networks-with-fast-adversarial-calibration-2012.10923</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-trustworthy-predictions-from-deep-neural-networks-with-fast-adversarial-calibration-2012.10923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-trustworthy-predictions-from-deep-neural-networks-with-fast-adversarial-calibration-2012.10923"/></url>
<url><loc>https://scifaro.com/en/abs/automated-clustering-of-high-dimensional-data-with-a-feature-weighted-mean-shift-algorithm-2012.10929</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-clustering-of-high-dimensional-data-with-a-feature-weighted-mean-shift-algorithm-2012.10929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-clustering-of-high-dimensional-data-with-a-feature-weighted-mean-shift-algorithm-2012.10929"/></url>
<url><loc>https://scifaro.com/en/abs/recent-advances-in-deep-learning-theory-2012.10931</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recent-advances-in-deep-learning-theory-2012.10931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recent-advances-in-deep-learning-theory-2012.10931"/></url>
<url><loc>https://scifaro.com/en/abs/toward-understanding-the-influence-of-individual-clients-in-federated-learning-2012.10936</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-understanding-the-influence-of-individual-clients-in-federated-learning-2012.10936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-understanding-the-influence-of-individual-clients-in-federated-learning-2012.10936"/></url>
<url><loc>https://scifaro.com/en/abs/study-of-energy-efficient-distributed-rls-based-learning-with-coarsely-quantized-signals-2012.10939</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/study-of-energy-efficient-distributed-rls-based-learning-with-coarsely-quantized-signals-2012.10939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/study-of-energy-efficient-distributed-rls-based-learning-with-coarsely-quantized-signals-2012.10939"/></url>
<url><loc>https://scifaro.com/en/abs/learning-halfspaces-with-membership-queries-2012.10985</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-halfspaces-with-membership-queries-2012.10985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-halfspaces-with-membership-queries-2012.10985"/></url>
<url><loc>https://scifaro.com/en/abs/biased-models-have-biased-explanations-2012.10986</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biased-models-have-biased-explanations-2012.10986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biased-models-have-biased-explanations-2012.10986"/></url>
<url><loc>https://scifaro.com/en/abs/post-hoc-uncertainty-calibration-for-domain-drift-scenarios-2012.10988</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-hoc-uncertainty-calibration-for-domain-drift-scenarios-2012.10988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-hoc-uncertainty-calibration-for-domain-drift-scenarios-2012.10988"/></url>
<url><loc>https://scifaro.com/en/abs/voting-of-predictive-models-for-clinical-outcomes-consensus-of-algorithms-for-the-early-prediction-of-sepsis-from-clinical-data-and-an-analysis-of-the-physionet-computing-in-cardiology-challenge-2019-2012.11013</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/voting-of-predictive-models-for-clinical-outcomes-consensus-of-algorithms-for-the-early-prediction-of-sepsis-from-clinical-data-and-an-analysis-of-the-physionet-computing-in-cardiology-challenge-2019-2012.11013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/voting-of-predictive-models-for-clinical-outcomes-consensus-of-algorithms-for-the-early-prediction-of-sepsis-from-clinical-data-and-an-analysis-of-the-physionet-computing-in-cardiology-challenge-2019-2012.11013"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-crowdsourcing-with-constraints-2012.11048</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-crowdsourcing-with-constraints-2012.11048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-crowdsourcing-with-constraints-2012.11048"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-methodology-for-localising-acoustic-emission-sources-in-complex-structures-2012.11058</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-methodology-for-localising-acoustic-emission-sources-in-complex-structures-2012.11058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-methodology-for-localising-acoustic-emission-sources-in-complex-structures-2012.11058"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-welfare-and-equity-in-personalized-pricing-2012.11066</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-welfare-and-equity-in-personalized-pricing-2012.11066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-welfare-and-equity-in-personalized-pricing-2012.11066"/></url>
<url><loc>https://scifaro.com/en/abs/on-relating-why-and-why-not-explanations-2012.11067</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-relating-why-and-why-not-explanations-2012.11067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-relating-why-and-why-not-explanations-2012.11067"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-in-network-optimization-via-trimmed-stochastic-gradient-descent-with-noisy-label-2012.11073</loc><lastmod>2022-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-in-network-optimization-via-trimmed-stochastic-gradient-descent-with-noisy-label-2012.11073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-in-network-optimization-via-trimmed-stochastic-gradient-descent-with-noisy-label-2012.11073"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-graph-based-nearest-neighbor-search-2012.11083</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-graph-based-nearest-neighbor-search-2012.11083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-graph-based-nearest-neighbor-search-2012.11083"/></url>
<url><loc>https://scifaro.com/en/abs/lqf-linear-quadratic-fine-tuning-2012.11140</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lqf-linear-quadratic-fine-tuning-2012.11140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lqf-linear-quadratic-fine-tuning-2012.11140"/></url>
<url><loc>https://scifaro.com/en/abs/hop-hop-relation-aware-graph-neural-networks-2012.11147</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hop-hop-relation-aware-graph-neural-networks-2012.11147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hop-hop-relation-aware-graph-neural-networks-2012.11147"/></url>
<url><loc>https://scifaro.com/en/abs/learn-molecular-representations-from-large-scale-unlabeled-molecules-for-drug-discovery-2012.11175</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-molecular-representations-from-large-scale-unlabeled-molecules-for-drug-discovery-2012.11175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-molecular-representations-from-large-scale-unlabeled-molecules-for-drug-discovery-2012.11175"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-fall-detection-monitoring-system-based-on-learning-from-the-user-movements-2012.11195</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-fall-detection-monitoring-system-based-on-learning-from-the-user-movements-2012.11195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-fall-detection-monitoring-system-based-on-learning-from-the-user-movements-2012.11195"/></url>
<url><loc>https://scifaro.com/en/abs/on-success-and-simplicity-a-second-look-at-transferable-targeted-attacks-2012.11207</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-success-and-simplicity-a-second-look-at-transferable-targeted-attacks-2012.11207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-success-and-simplicity-a-second-look-at-transferable-targeted-attacks-2012.11207"/></url>
<url><loc>https://scifaro.com/en/abs/deep-feature-space-trojan-attack-of-neural-networks-by-controlled-detoxification-2012.11212</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-feature-space-trojan-attack-of-neural-networks-by-controlled-detoxification-2012.11212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-feature-space-trojan-attack-of-neural-networks-by-controlled-detoxification-2012.11212"/></url>
<url><loc>https://scifaro.com/en/abs/alternating-linear-scheme-in-a-bayesian-framework-for-low-rank-tensor-approximation-2012.11228</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternating-linear-scheme-in-a-bayesian-framework-for-low-rank-tensor-approximation-2012.11228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternating-linear-scheme-in-a-bayesian-framework-for-low-rank-tensor-approximation-2012.11228"/></url>
<url><loc>https://scifaro.com/en/abs/curiosity-in-exploring-chemical-space-intrinsic-rewards-for-deep-molecular-reinforcement-learning-2012.11293</loc><lastmod>2022-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curiosity-in-exploring-chemical-space-intrinsic-rewards-for-deep-molecular-reinforcement-learning-2012.11293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curiosity-in-exploring-chemical-space-intrinsic-rewards-for-deep-molecular-reinforcement-learning-2012.11293"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-prediction-of-key-performance-indicators-for-electrical-machine-2012.11299</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-prediction-of-key-performance-indicators-for-electrical-machine-2012.11299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-prediction-of-key-performance-indicators-for-electrical-machine-2012.11299"/></url>
<url><loc>https://scifaro.com/en/abs/single-level-optimization-for-differential-architecture-search-2012.11337</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-level-optimization-for-differential-architecture-search-2012.11337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-level-optimization-for-differential-architecture-search-2012.11337"/></url>
<url><loc>https://scifaro.com/en/abs/learning-compositional-sparse-gaussian-processes-with-a-shrinkage-prior-2012.11339</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-compositional-sparse-gaussian-processes-with-a-shrinkage-prior-2012.11339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-compositional-sparse-gaussian-processes-with-a-shrinkage-prior-2012.11339"/></url>
<url><loc>https://scifaro.com/en/abs/sub-linear-memory-how-to-make-performers-slim-2012.11346</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sub-linear-memory-how-to-make-performers-slim-2012.11346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sub-linear-memory-how-to-make-performers-slim-2012.11346"/></url>
<url><loc>https://scifaro.com/en/abs/genetic-adversarial-training-of-decision-trees-2012.11352</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/genetic-adversarial-training-of-decision-trees-2012.11352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/genetic-adversarial-training-of-decision-trees-2012.11352"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-anomaly-detectors-to-detect-intrusions-in-the-current-threat-landscape-2012.11354</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-anomaly-detectors-to-detect-intrusions-in-the-current-threat-landscape-2012.11354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-anomaly-detectors-to-detect-intrusions-in-the-current-threat-landscape-2012.11354"/></url>
<url><loc>https://scifaro.com/en/abs/rebuilding-trust-in-active-learning-with-actionable-metrics-2012.11365</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rebuilding-trust-in-active-learning-with-actionable-metrics-2012.11365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rebuilding-trust-in-active-learning-with-actionable-metrics-2012.11365"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-non-parametric-modeling-using-regularized-neural-networks-2012.11369</loc><lastmod>2022-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-non-parametric-modeling-using-regularized-neural-networks-2012.11369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-non-parametric-modeling-using-regularized-neural-networks-2012.11369"/></url>
<url><loc>https://scifaro.com/en/abs/the-covid-19-pandemic-socioeconomic-and-health-disparities-2012.11399</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-covid-19-pandemic-socioeconomic-and-health-disparities-2012.11399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-covid-19-pandemic-socioeconomic-and-health-disparities-2012.11399"/></url>
<url><loc>https://scifaro.com/en/abs/camta-causal-attention-model-for-multi-touch-attribution-2012.11403</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/camta-causal-attention-model-for-multi-touch-attribution-2012.11403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/camta-causal-attention-model-for-multi-touch-attribution-2012.11403"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-as-invariance-history-and-perspectives-of-knowledge-augmented-machine-learning-2012.11406</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-as-invariance-history-and-perspectives-of-knowledge-augmented-machine-learning-2012.11406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-as-invariance-history-and-perspectives-of-knowledge-augmented-machine-learning-2012.11406"/></url>
<url><loc>https://scifaro.com/en/abs/the-importance-of-modeling-data-missingness-in-algorithmic-fairness-a-causal-perspective-2012.11448</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-importance-of-modeling-data-missingness-in-algorithmic-fairness-a-causal-perspective-2012.11448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-importance-of-modeling-data-missingness-in-algorithmic-fairness-a-causal-perspective-2012.11448"/></url>
<url><loc>https://scifaro.com/en/abs/multi-faceted-representation-learning-with-hybrid-architecture-for-time-series-classification-2012.11472</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-faceted-representation-learning-with-hybrid-architecture-for-time-series-classification-2012.11472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-faceted-representation-learning-with-hybrid-architecture-for-time-series-classification-2012.11472"/></url>
<url><loc>https://scifaro.com/en/abs/design-rule-checking-with-a-cnn-based-feature-extractor-2012.11510</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/design-rule-checking-with-a-cnn-based-feature-extractor-2012.11510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/design-rule-checking-with-a-cnn-based-feature-extractor-2012.11510"/></url>
<url><loc>https://scifaro.com/en/abs/barking-up-the-right-tree-an-approach-to-search-over-molecule-synthesis-dags-2012.11522</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/barking-up-the-right-tree-an-approach-to-search-over-molecule-synthesis-dags-2012.11522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/barking-up-the-right-tree-an-approach-to-search-over-molecule-synthesis-dags-2012.11522"/></url>
<url><loc>https://scifaro.com/en/abs/a-meta-learning-approach-to-the-optimal-power-flow-problem-under-topology-reconfigurations-2012.11524</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-meta-learning-approach-to-the-optimal-power-flow-problem-under-topology-reconfigurations-2012.11524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-meta-learning-approach-to-the-optimal-power-flow-problem-under-topology-reconfigurations-2012.11524"/></url>
<url><loc>https://scifaro.com/en/abs/dual-cycon-net-a-cycle-consistent-dual-domain-convolutional-neural-network-framework-for-detection-of-partial-discharge-2012.11532</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-cycon-net-a-cycle-consistent-dual-domain-convolutional-neural-network-framework-for-detection-of-partial-discharge-2012.11532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-cycon-net-a-cycle-consistent-dual-domain-convolutional-neural-network-framework-for-detection-of-partial-discharge-2012.11532"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-agents-without-rewards-2012.11538</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-agents-without-rewards-2012.11538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-agents-without-rewards-2012.11538"/></url>
<url><loc>https://scifaro.com/en/abs/offline-reinforcement-learning-from-images-with-latent-space-models-2012.11547</loc><lastmod>2020-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-reinforcement-learning-from-images-with-latent-space-models-2012.11547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-reinforcement-learning-from-images-with-latent-space-models-2012.11547"/></url>
<url><loc>https://scifaro.com/en/abs/variational-transport-a-convergent-particle-basedalgorithm-for-distributional-optimization-2012.11554</loc><lastmod>2024-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-transport-a-convergent-particle-basedalgorithm-for-distributional-optimization-2012.11554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-transport-a-convergent-particle-basedalgorithm-for-distributional-optimization-2012.11554"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-online-optimization-with-delays-asynchronicity-adaptivity-and-optimism-2012.11579</loc><lastmod>2022-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-online-optimization-with-delays-asynchronicity-adaptivity-and-optimism-2012.11579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-online-optimization-with-delays-asynchronicity-adaptivity-and-optimism-2012.11579"/></url>
<url><loc>https://scifaro.com/en/abs/making-transport-more-robust-and-interpretable-by-moving-data-through-a-small-number-of-anchor-points-2012.11589</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-transport-more-robust-and-interpretable-by-moving-data-through-a-small-number-of-anchor-points-2012.11589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-transport-more-robust-and-interpretable-by-moving-data-through-a-small-number-of-anchor-points-2012.11589"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-in-distribution-anomaly-detection-of-new-physics-through-conditional-density-estimation-2012.11638</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-in-distribution-anomaly-detection-of-new-physics-through-conditional-density-estimation-2012.11638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-in-distribution-anomaly-detection-of-new-physics-through-conditional-density-estimation-2012.11638"/></url>
<url><loc>https://scifaro.com/en/abs/fast-physical-activity-suggestions-efficient-hyperparameter-learning-in-mobile-health-2012.11646</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-physical-activity-suggestions-efficient-hyperparameter-learning-in-mobile-health-2012.11646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-physical-activity-suggestions-efficient-hyperparameter-learning-in-mobile-health-2012.11646"/></url>
<url><loc>https://scifaro.com/en/abs/explicitly-encouraging-low-fractional-dimensional-trajectories-via-reinforcement-learning-2012.11662</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explicitly-encouraging-low-fractional-dimensional-trajectories-via-reinforcement-learning-2012.11662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explicitly-encouraging-low-fractional-dimensional-trajectories-via-reinforcement-learning-2012.11662"/></url>
<url><loc>https://scifaro.com/en/abs/social-nce-contrastive-learning-of-socially-aware-motion-representations-2012.11717</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/social-nce-contrastive-learning-of-socially-aware-motion-representations-2012.11717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/social-nce-contrastive-learning-of-socially-aware-motion-representations-2012.11717"/></url>
<url><loc>https://scifaro.com/en/abs/cross-domain-latent-modulation-for-variational-transfer-learning-2012.11727</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-domain-latent-modulation-for-variational-transfer-learning-2012.11727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-domain-latent-modulation-for-variational-transfer-learning-2012.11727"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-critical-number-of-layers-for-hierarchical-support-vector-regression-2012.11734</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-critical-number-of-layers-for-hierarchical-support-vector-regression-2012.11734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-critical-number-of-layers-for-hierarchical-support-vector-regression-2012.11734"/></url>
<url><loc>https://scifaro.com/en/abs/cost-sensitive-semi-supervised-classification-for-fraud-applications-2012.11743</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-sensitive-semi-supervised-classification-for-fraud-applications-2012.11743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-sensitive-semi-supervised-classification-for-fraud-applications-2012.11743"/></url>
<url><loc>https://scifaro.com/en/abs/realformer-transformer-likes-residual-attention-2012.11747</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/realformer-transformer-likes-residual-attention-2012.11747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/realformer-transformer-likes-residual-attention-2012.11747"/></url>
<url><loc>https://scifaro.com/en/abs/bounding-the-complexity-of-formally-verifying-neural-networks-a-geometric-approach-2012.11761</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounding-the-complexity-of-formally-verifying-neural-networks-a-geometric-approach-2012.11761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounding-the-complexity-of-formally-verifying-neural-networks-a-geometric-approach-2012.11761"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multi-attribute-graph-representation-learning-on-protein-structures-2012.11762</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multi-attribute-graph-representation-learning-on-protein-structures-2012.11762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multi-attribute-graph-representation-learning-on-protein-structures-2012.11762"/></url>
<url><loc>https://scifaro.com/en/abs/self-progressing-robust-training-2012.11769</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-progressing-robust-training-2012.11769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-progressing-robust-training-2012.11769"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-synthetic-medical-data-generation-using-convolutional-gans-2012.11774</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-synthetic-medical-data-generation-using-convolutional-gans-2012.11774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-synthetic-medical-data-generation-using-convolutional-gans-2012.11774"/></url>
<url><loc>https://scifaro.com/en/abs/mailleak-obfuscation-robust-character-extraction-using-transfer-learning-2012.11775</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mailleak-obfuscation-robust-character-extraction-using-transfer-learning-2012.11775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mailleak-obfuscation-robust-character-extraction-using-transfer-learning-2012.11775"/></url>
<url><loc>https://scifaro.com/en/abs/towards-an-automatic-system-for-extracting-planar-orientations-from-software-generated-point-clouds-2012.11780</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-an-automatic-system-for-extracting-planar-orientations-from-software-generated-point-clouds-2012.11780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-an-automatic-system-for-extracting-planar-orientations-from-software-generated-point-clouds-2012.11780"/></url>
<url><loc>https://scifaro.com/en/abs/ordered-counterfactual-explanation-by-mixed-integer-linear-optimization-2012.11782</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ordered-counterfactual-explanation-by-mixed-integer-linear-optimization-2012.11782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ordered-counterfactual-explanation-by-mixed-integer-linear-optimization-2012.11782"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-recourse-in-the-wild-understanding-the-impact-of-data-and-model-shifts-2012.11788</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-recourse-in-the-wild-understanding-the-impact-of-data-and-model-shifts-2012.11788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-recourse-in-the-wild-understanding-the-impact-of-data-and-model-shifts-2012.11788"/></url>
<url><loc>https://scifaro.com/en/abs/a-dynamic-penalty-function-approach-for-constraints-handling-in-reinforcement-learning-2012.11790</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dynamic-penalty-function-approach-for-constraints-handling-in-reinforcement-learning-2012.11790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dynamic-penalty-function-approach-for-constraints-handling-in-reinforcement-learning-2012.11790"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-perspective-clustering-of-passive-wi-fi-sensing-trajectory-data-2012.11796</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-perspective-clustering-of-passive-wi-fi-sensing-trajectory-data-2012.11796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-perspective-clustering-of-passive-wi-fi-sensing-trajectory-data-2012.11796"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-domain-adaptation-via-sparse-associative-structure-alignment-2012.11797</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-domain-adaptation-via-sparse-associative-structure-alignment-2012.11797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-domain-adaptation-via-sparse-associative-structure-alignment-2012.11797"/></url>
<url><loc>https://scifaro.com/en/abs/to-talk-or-to-work-flexible-communication-compression-for-energy-efficient-federated-learning-over-heterogeneous-mobile-edge-devices-2012.11804</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-talk-or-to-work-flexible-communication-compression-for-energy-efficient-federated-learning-over-heterogeneous-mobile-edge-devices-2012.11804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-talk-or-to-work-flexible-communication-compression-for-energy-efficient-federated-learning-over-heterogeneous-mobile-edge-devices-2012.11804"/></url>
<url><loc>https://scifaro.com/en/abs/molecular-ct-unifying-geometry-and-representation-learning-for-molecules-at-different-scales-2012.11816</loc><lastmod>2023-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molecular-ct-unifying-geometry-and-representation-learning-for-molecules-at-different-scales-2012.11816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molecular-ct-unifying-geometry-and-representation-learning-for-molecules-at-different-scales-2012.11816"/></url>
<url><loc>https://scifaro.com/en/abs/netreact-interactive-learning-for-network-summarization-2012.11821</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/netreact-interactive-learning-for-network-summarization-2012.11821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/netreact-interactive-learning-for-network-summarization-2012.11821"/></url>
<url><loc>https://scifaro.com/en/abs/dual-encoder-bidirectional-generative-adversarial-networks-for-anomaly-detection-2012.11834</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-encoder-bidirectional-generative-adversarial-networks-for-anomaly-detection-2012.11834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-encoder-bidirectional-generative-adversarial-networks-for-anomaly-detection-2012.11834"/></url>
<url><loc>https://scifaro.com/en/abs/residual-matrix-product-state-for-machine-learning-2012.11841</loc><lastmod>2023-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-matrix-product-state-for-machine-learning-2012.11841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-matrix-product-state-for-machine-learning-2012.11841"/></url>
<url><loc>https://scifaro.com/en/abs/a-second-order-approach-to-learning-with-instance-dependent-label-noise-2012.11854</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-second-order-approach-to-learning-with-instance-dependent-label-noise-2012.11854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-second-order-approach-to-learning-with-instance-dependent-label-noise-2012.11854"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-regression-constrained-by-boundary-value-problems-2012.11857</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-regression-constrained-by-boundary-value-problems-2012.11857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-regression-constrained-by-boundary-value-problems-2012.11857"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-methods-for-managing-the-classification-and-solution-of-data-imbalance-problem-2012.11870</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-methods-for-managing-the-classification-and-solution-of-data-imbalance-problem-2012.11870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-methods-for-managing-the-classification-and-solution-of-data-imbalance-problem-2012.11870"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-accurate-k-means-via-rejection-sampling-2012.11891</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-accurate-k-means-via-rejection-sampling-2012.11891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-accurate-k-means-via-rejection-sampling-2012.11891"/></url>
<url><loc>https://scifaro.com/en/abs/graph-autoencoders-with-deconvolutional-networks-2012.11898</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-autoencoders-with-deconvolutional-networks-2012.11898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-autoencoders-with-deconvolutional-networks-2012.11898"/></url>
<url><loc>https://scifaro.com/en/abs/ganterfactual-counterfactual-explanations-for-medical-non-experts-using-generative-adversarial-learning-2012.11905</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ganterfactual-counterfactual-explanations-for-medical-non-experts-using-generative-adversarial-learning-2012.11905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ganterfactual-counterfactual-explanations-for-medical-non-experts-using-generative-adversarial-learning-2012.11905"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-deep-learning-models-for-epileptic-seizure-detection-on-eeg-signals-2012.11933</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-deep-learning-models-for-epileptic-seizure-detection-on-eeg-signals-2012.11933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-deep-learning-models-for-epileptic-seizure-detection-on-eeg-signals-2012.11933"/></url>
<url><loc>https://scifaro.com/en/abs/self-imitation-advantage-learning-2012.11989</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-imitation-advantage-learning-2012.11989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-imitation-advantage-learning-2012.11989"/></url>
<url><loc>https://scifaro.com/en/abs/data-assimilation-in-the-latent-space-of-a-neural-network-2012.12056</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-assimilation-in-the-latent-space-of-a-neural-network-2012.12056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-assimilation-in-the-latent-space-of-a-neural-network-2012.12056"/></url>
<url><loc>https://scifaro.com/en/abs/qvmix-and-qvmix-max-extending-the-deep-quality-value-family-of-algorithms-to-cooperative-multi-agent-reinforcement-learning-2012.12062</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qvmix-and-qvmix-max-extending-the-deep-quality-value-family-of-algorithms-to-cooperative-multi-agent-reinforcement-learning-2012.12062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qvmix-and-qvmix-max-extending-the-deep-quality-value-family-of-algorithms-to-cooperative-multi-agent-reinforcement-learning-2012.12062"/></url>
<url><loc>https://scifaro.com/en/abs/metaaugment-sample-aware-data-augmentation-policy-learning-2012.12076</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metaaugment-sample-aware-data-augmentation-policy-learning-2012.12076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metaaugment-sample-aware-data-augmentation-policy-learning-2012.12076"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-machine-learning-methods-for-city-vitality-index-2012.12082</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-machine-learning-methods-for-city-vitality-index-2012.12082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-machine-learning-methods-for-city-vitality-index-2012.12082"/></url>
<url><loc>https://scifaro.com/en/abs/projected-stochastic-gradient-langevin-algorithms-for-constrained-sampling-and-non-convex-learning-2012.12137</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projected-stochastic-gradient-langevin-algorithms-for-constrained-sampling-and-non-convex-learning-2012.12137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projected-stochastic-gradient-langevin-algorithms-for-constrained-sampling-and-non-convex-learning-2012.12137"/></url>
<url><loc>https://scifaro.com/en/abs/projection-free-bandit-optimization-with-privacy-guarantees-2012.12138</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projection-free-bandit-optimization-with-privacy-guarantees-2012.12138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projection-free-bandit-optimization-with-privacy-guarantees-2012.12138"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-initialize-gradient-descent-using-gradient-descent-2012.12141</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-initialize-gradient-descent-using-gradient-descent-2012.12141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-initialize-gradient-descent-using-gradient-descent-2012.12141"/></url>
<url><loc>https://scifaro.com/en/abs/c-watcher-a-framework-for-early-detection-of-high-risk-neighborhoods-ahead-of-covid-19-outbreak-2012.12169</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/c-watcher-a-framework-for-early-detection-of-high-risk-neighborhoods-ahead-of-covid-19-outbreak-2012.12169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/c-watcher-a-framework-for-early-detection-of-high-risk-neighborhoods-ahead-of-covid-19-outbreak-2012.12169"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-convolutional-neural-networks-for-high-energy-physics-data-analysis-2012.12177</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-convolutional-neural-networks-for-high-energy-physics-data-analysis-2012.12177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-convolutional-neural-networks-for-high-energy-physics-data-analysis-2012.12177"/></url>
<url><loc>https://scifaro.com/en/abs/autonomous-spomdp-environment-modeling-with-partial-model-exploitation-2012.12203</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autonomous-spomdp-environment-modeling-with-partial-model-exploitation-2012.12203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autonomous-spomdp-environment-modeling-with-partial-model-exploitation-2012.12203"/></url>
<url><loc>https://scifaro.com/en/abs/fracbnn-accurate-and-fpga-efficient-binary-neural-networks-with-fractional-activations-2012.12206</loc><lastmod>2020-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fracbnn-accurate-and-fpga-efficient-binary-neural-networks-with-fractional-activations-2012.12206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fracbnn-accurate-and-fpga-efficient-binary-neural-networks-with-fractional-activations-2012.12206"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-model-framework-for-traumatic-brain-injury-prognosis-using-heterogeneous-clinical-and-outcome-data-2012.12310</loc><lastmod>2022-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-model-framework-for-traumatic-brain-injury-prognosis-using-heterogeneous-clinical-and-outcome-data-2012.12310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-model-framework-for-traumatic-brain-injury-prognosis-using-heterogeneous-clinical-and-outcome-data-2012.12310"/></url>
<url><loc>https://scifaro.com/en/abs/unboxing-engagement-in-youtube-influencer-videos-an-attention-based-approach-2012.12311</loc><lastmod>2025-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unboxing-engagement-in-youtube-influencer-videos-an-attention-based-approach-2012.12311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unboxing-engagement-in-youtube-influencer-videos-an-attention-based-approach-2012.12311"/></url>
<url><loc>https://scifaro.com/en/abs/drug-target-interaction-prediction-via-an-ensemble-of-weighted-nearest-neighbors-with-interaction-recovery-2012.12325</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drug-target-interaction-prediction-via-an-ensemble-of-weighted-nearest-neighbors-with-interaction-recovery-2012.12325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drug-target-interaction-prediction-via-an-ensemble-of-weighted-nearest-neighbors-with-interaction-recovery-2012.12325"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-increasing-efficiency-of-frank-wolfe-adversarial-training-2012.12368</loc><lastmod>2022-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-increasing-efficiency-of-frank-wolfe-adversarial-training-2012.12368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-increasing-efficiency-of-frank-wolfe-adversarial-training-2012.12368"/></url>
<url><loc>https://scifaro.com/en/abs/out-distribution-aware-self-training-in-an-open-world-setting-2012.12372</loc><lastmod>2020-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-distribution-aware-self-training-in-an-open-world-setting-2012.12372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-distribution-aware-self-training-in-an-open-world-setting-2012.12372"/></url>
<url><loc>https://scifaro.com/en/abs/the-life-and-death-of-ssds-and-hdds-similarities-differences-and-prediction-models-2012.12373</loc><lastmod>2020-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-life-and-death-of-ssds-and-hdds-similarities-differences-and-prediction-models-2012.12373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-life-and-death-of-ssds-and-hdds-similarities-differences-and-prediction-models-2012.12373"/></url>
<url><loc>https://scifaro.com/en/abs/fractal-dimension-generalization-measure-2012.12384</loc><lastmod>2020-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fractal-dimension-generalization-measure-2012.12384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fractal-dimension-generalization-measure-2012.12384"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-outlier-detection-and-generation-2012.12394</loc><lastmod>2020-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-outlier-detection-and-generation-2012.12394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-outlier-detection-and-generation-2012.12394"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-variance-reduction-by-solving-a-filtering-problem-2012.12418</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-variance-reduction-by-solving-a-filtering-problem-2012.12418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-variance-reduction-by-solving-a-filtering-problem-2012.12418"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-federated-learning-algorithms-and-implementation-2012.12420</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-federated-learning-algorithms-and-implementation-2012.12420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-federated-learning-algorithms-and-implementation-2012.12420"/></url>
<url><loc>https://scifaro.com/en/abs/towards-automated-satellite-conjunction-management-with-bayesian-deep-learning-2012.12450</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-automated-satellite-conjunction-management-with-bayesian-deep-learning-2012.12450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-automated-satellite-conjunction-management-with-bayesian-deep-learning-2012.12450"/></url>
<url><loc>https://scifaro.com/en/abs/augmenting-policy-learning-with-routines-discovered-from-a-single-demonstration-2012.12469</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmenting-policy-learning-with-routines-discovered-from-a-single-demonstration-2012.12469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmenting-policy-learning-with-routines-discovered-from-a-single-demonstration-2012.12469"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-classification-algorithms-towards-subject-specific-and-subject-independent-bci-2012.12473</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-classification-algorithms-towards-subject-specific-and-subject-independent-bci-2012.12473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-classification-algorithms-towards-subject-specific-and-subject-independent-bci-2012.12473"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-self-supervision-by-combining-deep-learning-and-probabilistic-logic-2012.12474</loc><lastmod>2020-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-self-supervision-by-combining-deep-learning-and-probabilistic-logic-2012.12474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-self-supervision-by-combining-deep-learning-and-probabilistic-logic-2012.12474"/></url>
<url><loc>https://scifaro.com/en/abs/global-models-for-time-series-forecasting-a-simulation-study-2012.12485</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-models-for-time-series-forecasting-a-simulation-study-2012.12485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-models-for-time-series-forecasting-a-simulation-study-2012.12485"/></url>
<url><loc>https://scifaro.com/en/abs/small-group-learning-with-application-to-neural-architecture-search-2012.12502</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-group-learning-with-application-to-neural-architecture-search-2012.12502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-group-learning-with-application-to-neural-architecture-search-2012.12502"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-representations-inside-convolutional-neural-networks-2012.12516</loc><lastmod>2020-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-representations-inside-convolutional-neural-networks-2012.12516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-representations-inside-convolutional-neural-networks-2012.12516"/></url>
<url><loc>https://scifaro.com/en/abs/motif-driven-contrastive-learning-of-graph-representations-2012.12533</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/motif-driven-contrastive-learning-of-graph-representations-2012.12533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/motif-driven-contrastive-learning-of-graph-representations-2012.12533"/></url>
<url><loc>https://scifaro.com/en/abs/benn-bias-estimation-using-deep-neural-network-2012.12537</loc><lastmod>2020-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benn-bias-estimation-using-deep-neural-network-2012.12537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benn-bias-estimation-using-deep-neural-network-2012.12537"/></url>
<url><loc>https://scifaro.com/en/abs/ifgan-missing-value-imputation-using-feature-specific-generative-adversarial-networks-2012.12581</loc><lastmod>2020-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ifgan-missing-value-imputation-using-feature-specific-generative-adversarial-networks-2012.12581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ifgan-missing-value-imputation-using-feature-specific-generative-adversarial-networks-2012.12581"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-privacy-preserving-distributed-deep-learning-methods-in-healthcare-2012.12591</loc><lastmod>2020-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-privacy-preserving-distributed-deep-learning-methods-in-healthcare-2012.12591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-privacy-preserving-distributed-deep-learning-methods-in-healthcare-2012.12591"/></url>
<url><loc>https://scifaro.com/en/abs/autonoml-towards-an-integrated-framework-for-autonomous-machine-learning-2012.12600</loc><lastmod>2022-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autonoml-towards-an-integrated-framework-for-autonomous-machine-learning-2012.12600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autonoml-towards-an-integrated-framework-for-autonomous-machine-learning-2012.12600"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-continual-learning-with-modular-networks-and-task-driven-priors-2012.12631</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-continual-learning-with-modular-networks-and-task-driven-priors-2012.12631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-continual-learning-with-modular-networks-and-task-driven-priors-2012.12631"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-free-adversarial-attacks-for-bayesian-neural-networks-2012.12640</loc><lastmod>2020-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-free-adversarial-attacks-for-bayesian-neural-networks-2012.12640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-free-adversarial-attacks-for-bayesian-neural-networks-2012.12640"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-dropout-2012.12687</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-dropout-2012.12687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-dropout-2012.12687"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-precision-training-for-resource-constrained-devices-2012.12775</loc><lastmod>2020-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-precision-training-for-resource-constrained-devices-2012.12775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-precision-training-for-resource-constrained-devices-2012.12775"/></url>
<url><loc>https://scifaro.com/en/abs/hiding-among-the-clones-a-simple-and-nearly-optimal-analysis-of-privacy-amplification-by-shuffling-2012.12803</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hiding-among-the-clones-a-simple-and-nearly-optimal-analysis-of-privacy-amplification-by-shuffling-2012.12803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hiding-among-the-clones-a-simple-and-nearly-optimal-analysis-of-privacy-amplification-by-shuffling-2012.12803"/></url>
<url><loc>https://scifaro.com/en/abs/eq-net-a-unified-deep-learning-framework-for-log-likelihood-ratio-estimation-and-quantization-2012.12843</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eq-net-a-unified-deep-learning-framework-for-log-likelihood-ratio-estimation-and-quantization-2012.12843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eq-net-a-unified-deep-learning-framework-for-log-likelihood-ratio-estimation-and-quantization-2012.12843"/></url>
<url><loc>https://scifaro.com/en/abs/how-does-a-neural-network-s-architecture-impact-its-robustness-to-noisy-labels-2012.12896</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-does-a-neural-network-s-architecture-impact-its-robustness-to-noisy-labels-2012.12896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-does-a-neural-network-s-architecture-impact-its-robustness-to-noisy-labels-2012.12896"/></url>
<url><loc>https://scifaro.com/en/abs/learning-by-self-explanation-with-application-to-neural-architecture-search-2012.12899</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-by-self-explanation-with-application-to-neural-architecture-search-2012.12899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-by-self-explanation-with-application-to-neural-architecture-search-2012.12899"/></url>
<url><loc>https://scifaro.com/en/abs/on-using-classification-datasets-to-evaluate-graph-level-outlier-detection-peculiar-observations-and-new-insights-2012.12931</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-using-classification-datasets-to-evaluate-graph-level-outlier-detection-peculiar-observations-and-new-insights-2012.12931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-using-classification-datasets-to-evaluate-graph-level-outlier-detection-peculiar-observations-and-new-insights-2012.12931"/></url>
<url><loc>https://scifaro.com/en/abs/active-deep-learning-on-entity-resolution-by-risk-sampling-2012.12960</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-deep-learning-on-entity-resolution-by-risk-sampling-2012.12960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-deep-learning-on-entity-resolution-by-risk-sampling-2012.12960"/></url>
<url><loc>https://scifaro.com/en/abs/using-vis-nirs-and-machine-learning-methods-to-diagnose-sugarcane-soil-chemical-properties-2012.12995</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-vis-nirs-and-machine-learning-methods-to-diagnose-sugarcane-soil-chemical-properties-2012.12995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-vis-nirs-and-machine-learning-methods-to-diagnose-sugarcane-soil-chemical-properties-2012.12995"/></url>
<url><loc>https://scifaro.com/en/abs/k-means-kernel-classifier-2012.13021</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-means-kernel-classifier-2012.13021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-means-kernel-classifier-2012.13021"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-hyperboloid-representations-from-logical-queries-over-knowledge-graphs-2012.13023</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-hyperboloid-representations-from-logical-queries-over-knowledge-graphs-2012.13023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-hyperboloid-representations-from-logical-queries-over-knowledge-graphs-2012.13023"/></url>
<url><loc>https://scifaro.com/en/abs/general-domain-adaptation-through-proportional-progressive-pseudo-labeling-2012.13028</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/general-domain-adaptation-through-proportional-progressive-pseudo-labeling-2012.13028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/general-domain-adaptation-through-proportional-progressive-pseudo-labeling-2012.13028"/></url>
<url><loc>https://scifaro.com/en/abs/assured-rl-reinforcement-learning-with-almost-sure-constraints-2012.13036</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assured-rl-reinforcement-learning-with-almost-sure-constraints-2012.13036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assured-rl-reinforcement-learning-with-almost-sure-constraints-2012.13036"/></url>
<url><loc>https://scifaro.com/en/abs/regret-bound-balancing-and-elimination-for-model-selection-in-bandits-and-rl-2012.13045</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-bound-balancing-and-elimination-for-model-selection-in-bandits-and-rl-2012.13045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-bound-balancing-and-elimination-for-model-selection-in-bandits-and-rl-2012.13045"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-crowds-by-modeling-common-confusions-2012.13052</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-crowds-by-modeling-common-confusions-2012.13052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-crowds-by-modeling-common-confusions-2012.13052"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-federated-learning-via-mutual-knowledge-transfer-2012.13063</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-federated-learning-via-mutual-knowledge-transfer-2012.13063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-federated-learning-via-mutual-knowledge-transfer-2012.13063"/></url>
<url><loc>https://scifaro.com/en/abs/asymptoticng-a-regularized-natural-gradient-optimization-algorithm-with-look-ahead-strategy-2012.13077</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptoticng-a-regularized-natural-gradient-optimization-algorithm-with-look-ahead-strategy-2012.13077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptoticng-a-regularized-natural-gradient-optimization-algorithm-with-look-ahead-strategy-2012.13077"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-node-classification-on-graphs-markov-random-fields-vs-graph-neural-networks-2012.13085</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-node-classification-on-graphs-markov-random-fields-vs-graph-neural-networks-2012.13085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-node-classification-on-graphs-markov-random-fields-vs-graph-neural-networks-2012.13085"/></url>
<url><loc>https://scifaro.com/en/abs/auto-agent-distiller-towards-efficient-deep-reinforcement-learning-agents-via-neural-architecture-search-2012.13091</loc><lastmod>2025-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-agent-distiller-towards-efficient-deep-reinforcement-learning-agents-via-neural-architecture-search-2012.13091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-agent-distiller-towards-efficient-deep-reinforcement-learning-agents-via-neural-architecture-search-2012.13091"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-retrospection-2012.13098</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-retrospection-2012.13098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-retrospection-2012.13098"/></url>
<url><loc>https://scifaro.com/en/abs/cooperative-policy-learning-with-pre-trained-heterogeneous-observation-representations-2012.13099</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cooperative-policy-learning-with-pre-trained-heterogeneous-observation-representations-2012.13099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cooperative-policy-learning-with-pre-trained-heterogeneous-observation-representations-2012.13099"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-certified-robustness-of-neural-networks-via-consistency-regularization-2012.13103</loc><lastmod>2021-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-certified-robustness-of-neural-networks-via-consistency-regularization-2012.13103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-certified-robustness-of-neural-networks-via-consistency-regularization-2012.13103"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-adversarial-examples-via-invertible-neural-networks-2012.13111</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-adversarial-examples-via-invertible-neural-networks-2012.13111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-adversarial-examples-via-invertible-neural-networks-2012.13111"/></url>
<url><loc>https://scifaro.com/en/abs/upper-confidence-bounds-for-combining-stochastic-bandits-2012.13115</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/upper-confidence-bounds-for-combining-stochastic-bandits-2012.13115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/upper-confidence-bounds-for-combining-stochastic-bandits-2012.13115"/></url>
<url><loc>https://scifaro.com/en/abs/memory-gated-recurrent-networks-2012.13121</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-gated-recurrent-networks-2012.13121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-gated-recurrent-networks-2012.13121"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-neural-adaptation-model-based-on-optimal-transport-for-spoken-language-identification-2012.13152</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-neural-adaptation-model-based-on-optimal-transport-for-spoken-language-identification-2012.13152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-neural-adaptation-model-based-on-optimal-transport-for-spoken-language-identification-2012.13152"/></url>
<url><loc>https://scifaro.com/en/abs/scc-an-efficient-deep-reinforcement-learning-agent-mastering-the-game-of-starcraft-ii-2012.13169</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scc-an-efficient-deep-reinforcement-learning-agent-mastering-the-game-of-starcraft-ii-2012.13169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scc-an-efficient-deep-reinforcement-learning-agent-mastering-the-game-of-starcraft-ii-2012.13169"/></url>
<url><loc>https://scifaro.com/en/abs/rbm-flow-and-d-flow-invertible-flows-with-discrete-energy-base-spaces-2012.13196</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rbm-flow-and-d-flow-invertible-flows-with-discrete-energy-base-spaces-2012.13196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rbm-flow-and-d-flow-invertible-flows-with-discrete-energy-base-spaces-2012.13196"/></url>
<url><loc>https://scifaro.com/en/abs/on-batch-normalisation-for-approximate-bayesian-inference-2012.13220</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-batch-normalisation-for-approximate-bayesian-inference-2012.13220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-batch-normalisation-for-approximate-bayesian-inference-2012.13220"/></url>
<url><loc>https://scifaro.com/en/abs/pain-assessment-based-on-fnirs-using-bidirectional-lstms-2012.13231</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pain-assessment-based-on-fnirs-using-bidirectional-lstms-2012.13231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pain-assessment-based-on-fnirs-using-bidirectional-lstms-2012.13231"/></url>
<url><loc>https://scifaro.com/en/abs/deep-semi-supervised-embedded-clustering-dsec-for-stratification-of-heart-failure-patients-2012.13233</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-semi-supervised-embedded-clustering-dsec-for-stratification-of-heart-failure-patients-2012.13233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-semi-supervised-embedded-clustering-dsec-for-stratification-of-heart-failure-patients-2012.13233"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-hateful-memes-using-a-multimodal-deep-ensemble-2012.13235</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-hateful-memes-using-a-multimodal-deep-ensemble-2012.13235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-hateful-memes-using-a-multimodal-deep-ensemble-2012.13235"/></url>
<url><loc>https://scifaro.com/en/abs/soft-introvae-analyzing-and-improving-the-introspective-variational-autoencoder-2012.13253</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-introvae-analyzing-and-improving-the-introspective-variational-autoencoder-2012.13253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-introvae-analyzing-and-improving-the-introspective-variational-autoencoder-2012.13253"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-dimensionality-explains-the-effectiveness-of-language-model-fine-tuning-2012.13255</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-dimensionality-explains-the-effectiveness-of-language-model-fine-tuning-2012.13255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-dimensionality-explains-the-effectiveness-of-language-model-fine-tuning-2012.13255"/></url>
<url><loc>https://scifaro.com/en/abs/learning-vehicle-routing-problems-using-policy-optimisation-2012.13269</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-vehicle-routing-problems-using-policy-optimisation-2012.13269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-vehicle-routing-problems-using-policy-optimisation-2012.13269"/></url>
<url><loc>https://scifaro.com/en/abs/multi-fidelity-bayesian-neural-networks-algorithms-and-applications-2012.13294</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-fidelity-bayesian-neural-networks-algorithms-and-applications-2012.13294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-fidelity-bayesian-neural-networks-algorithms-and-applications-2012.13294"/></url>
<url><loc>https://scifaro.com/en/abs/leave-zero-out-towards-a-no-cross-validation-approach-for-model-selection-2012.13309</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leave-zero-out-towards-a-no-cross-validation-approach-for-model-selection-2012.13309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leave-zero-out-towards-a-no-cross-validation-approach-for-model-selection-2012.13309"/></url>
<url><loc>https://scifaro.com/en/abs/variational-determinant-estimation-with-spherical-normalizing-flows-2012.13311</loc><lastmod>2021-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-determinant-estimation-with-spherical-normalizing-flows-2012.13311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-determinant-estimation-with-spherical-normalizing-flows-2012.13311"/></url>
<url><loc>https://scifaro.com/en/abs/an-active-learning-method-for-diabetic-retinopathy-classification-with-uncertainty-quantification-2012.13325</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-active-learning-method-for-diabetic-retinopathy-classification-with-uncertainty-quantification-2012.13325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-active-learning-method-for-diabetic-retinopathy-classification-with-uncertainty-quantification-2012.13325"/></url>
<url><loc>https://scifaro.com/en/abs/a-tight-lower-bound-for-uniformly-stable-algorithms-2012.13326</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tight-lower-bound-for-uniformly-stable-algorithms-2012.13326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tight-lower-bound-for-uniformly-stable-algorithms-2012.13326"/></url>
<url><loc>https://scifaro.com/en/abs/vector-output-relu-neural-network-problems-are-copositive-programs-convex-analysis-of-two-layer-networks-and-polynomial-time-algorithms-2012.13329</loc><lastmod>2021-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vector-output-relu-neural-network-problems-are-copositive-programs-convex-analysis-of-two-layer-networks-and-polynomial-time-algorithms-2012.13329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vector-output-relu-neural-network-problems-are-copositive-programs-convex-analysis-of-two-layer-networks-and-polynomial-time-algorithms-2012.13329"/></url>
<url><loc>https://scifaro.com/en/abs/physics-guided-machine-learning-using-simplified-theories-2012.13343</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-guided-machine-learning-using-simplified-theories-2012.13343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-guided-machine-learning-using-simplified-theories-2012.13343"/></url>
<url><loc>https://scifaro.com/en/abs/generating-long-term-continuous-multi-type-generation-profiles-2012.13344</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-long-term-continuous-multi-type-generation-profiles-2012.13344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-long-term-continuous-multi-type-generation-profiles-2012.13344"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-beam-x-ray-ct-datasets-of-apples-with-internal-defects-and-label-balancing-for-machine-learning-2012.13346</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-beam-x-ray-ct-datasets-of-apples-with-internal-defects-and-label-balancing-for-machine-learning-2012.13346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-beam-x-ray-ct-datasets-of-apples-with-internal-defects-and-label-balancing-for-machine-learning-2012.13346"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-with-incomplete-datasets-using-multi-objective-optimization-models-2012.13352</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-with-incomplete-datasets-using-multi-objective-optimization-models-2012.13352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-with-incomplete-datasets-using-multi-objective-optimization-models-2012.13352"/></url>
<url><loc>https://scifaro.com/en/abs/a-physics-informed-deep-learning-paradigm-for-car-following-models-2012.13376</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-physics-informed-deep-learning-paradigm-for-car-following-models-2012.13376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-physics-informed-deep-learning-paradigm-for-car-following-models-2012.13376"/></url>
<url><loc>https://scifaro.com/en/abs/a-regret-bound-for-non-stationary-multi-armed-bandits-with-fairness-constraints-2012.13380</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-regret-bound-for-non-stationary-multi-armed-bandits-with-fairness-constraints-2012.13380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-regret-bound-for-non-stationary-multi-armed-bandits-with-fairness-constraints-2012.13380"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-spatial-and-spatiotemporal-prediction-methods-2012.13384</loc><lastmod>2020-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-spatial-and-spatiotemporal-prediction-methods-2012.13384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-spatial-and-spatiotemporal-prediction-methods-2012.13384"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-privacy-forgetting-in-deep-networks-2012.13431</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-privacy-forgetting-in-deep-networks-2012.13431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-privacy-forgetting-in-deep-networks-2012.13431"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-training-stop-point-with-noisy-labeled-data-2012.13435</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-training-stop-point-with-noisy-labeled-data-2012.13435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-training-stop-point-with-noisy-labeled-data-2012.13435"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-disease-progression-in-mild-cognitive-impairment-and-alzheimer-s-disease-with-digital-twins-2012.13455</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-disease-progression-in-mild-cognitive-impairment-and-alzheimer-s-disease-with-digital-twins-2012.13455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-disease-progression-in-mild-cognitive-impairment-and-alzheimer-s-disease-with-digital-twins-2012.13455"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-by-anticipation-an-action-conditional-prediction-method-based-on-interaction-learning-2012.13478</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-by-anticipation-an-action-conditional-prediction-method-based-on-interaction-learning-2012.13478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-by-anticipation-an-action-conditional-prediction-method-based-on-interaction-learning-2012.13478"/></url>
<url><loc>https://scifaro.com/en/abs/a-graph-convolutional-network-with-signal-phasing-information-for-arterial-traffic-prediction-2012.13479</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-graph-convolutional-network-with-signal-phasing-information-for-arterial-traffic-prediction-2012.13479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-graph-convolutional-network-with-signal-phasing-information-for-arterial-traffic-prediction-2012.13479"/></url>
<url><loc>https://scifaro.com/en/abs/whom-to-test-active-sampling-strategies-for-managing-covid-19-2012.13483</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/whom-to-test-active-sampling-strategies-for-managing-covid-19-2012.13483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/whom-to-test-active-sampling-strategies-for-managing-covid-19-2012.13483"/></url>
<url><loc>https://scifaro.com/en/abs/learning-robust-representation-for-clustering-through-locality-preserving-variational-discriminative-network-2012.13489</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-robust-representation-for-clustering-through-locality-preserving-variational-discriminative-network-2012.13489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-robust-representation-for-clustering-through-locality-preserving-variational-discriminative-network-2012.13489"/></url>
<url><loc>https://scifaro.com/en/abs/towards-continual-reinforcement-learning-a-review-and-perspectives-2012.13490</loc><lastmod>2022-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-continual-reinforcement-learning-a-review-and-perspectives-2012.13490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-continual-reinforcement-learning-a-review-and-perspectives-2012.13490"/></url>
<url><loc>https://scifaro.com/en/abs/towards-real-world-bci-ccspnet-a-compact-subject-independent-motor-imagery-framework-2012.13567</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-real-world-bci-ccspnet-a-compact-subject-independent-motor-imagery-framework-2012.13567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-real-world-bci-ccspnet-a-compact-subject-independent-motor-imagery-framework-2012.13567"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-privacy-and-generalization-of-adversarial-training-2012.13573</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-privacy-and-generalization-of-adversarial-training-2012.13573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-privacy-and-generalization-of-adversarial-training-2012.13573"/></url>
<url><loc>https://scifaro.com/en/abs/dns-typo-squatting-domain-detection-a-data-analytics-machine-learning-based-approach-2012.13604</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dns-typo-squatting-domain-detection-a-data-analytics-machine-learning-based-approach-2012.13604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dns-typo-squatting-domain-detection-a-data-analytics-machine-learning-based-approach-2012.13604"/></url>
<url><loc>https://scifaro.com/en/abs/on-self-supervised-multi-modal-representation-learning-an-application-to-alzheimer-s-disease-2012.13619</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-self-supervised-multi-modal-representation-learning-an-application-to-alzheimer-s-disease-2012.13619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-self-supervised-multi-modal-representation-learning-an-application-to-alzheimer-s-disease-2012.13619"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-multimodal-domino-in-search-of-biomarkers-for-alzheimer-s-disease-2012.13623</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-multimodal-domino-in-search-of-biomarkers-for-alzheimer-s-disease-2012.13623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-multimodal-domino-in-search-of-biomarkers-for-alzheimer-s-disease-2012.13623"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-the-patient-s-need-for-help-with-machine-learning-2012.13626</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-the-patient-s-need-for-help-with-machine-learning-2012.13626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-the-patient-s-need-for-help-with-machine-learning-2012.13626"/></url>
<url><loc>https://scifaro.com/en/abs/adaptively-solving-the-local-minimum-problem-for-deep-neural-networks-2012.13632</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptively-solving-the-local-minimum-problem-for-deep-neural-networks-2012.13632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptively-solving-the-local-minimum-problem-for-deep-neural-networks-2012.13632"/></url>
<url><loc>https://scifaro.com/en/abs/graph-convolutional-networks-for-traffic-anomaly-2012.13637</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-convolutional-networks-for-traffic-anomaly-2012.13637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-convolutional-networks-for-traffic-anomaly-2012.13637"/></url>
<url><loc>https://scifaro.com/en/abs/locally-persistent-exploration-in-continuous-control-tasks-with-sparse-rewards-2012.13658</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-persistent-exploration-in-continuous-control-tasks-with-sparse-rewards-2012.13658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-persistent-exploration-in-continuous-control-tasks-with-sparse-rewards-2012.13658"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-framework-applied-for-predicting-anomaly-of-respiratory-sounds-2012.13668</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-framework-applied-for-predicting-anomaly-of-respiratory-sounds-2012.13668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-framework-applied-for-predicting-anomaly-of-respiratory-sounds-2012.13668"/></url>
<url><loc>https://scifaro.com/en/abs/robust-collaborative-learning-with-noisy-labels-2012.13670</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-collaborative-learning-with-noisy-labels-2012.13670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-collaborative-learning-with-noisy-labels-2012.13670"/></url>
<url><loc>https://scifaro.com/en/abs/multidimensional-uncertainty-aware-evidential-neural-networks-2012.13676</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multidimensional-uncertainty-aware-evidential-neural-networks-2012.13676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multidimensional-uncertainty-aware-evidential-neural-networks-2012.13676"/></url>
<url><loc>https://scifaro.com/en/abs/popo-pessimistic-offline-policy-optimization-2012.13682</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/popo-pessimistic-offline-policy-optimization-2012.13682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/popo-pessimistic-offline-policy-optimization-2012.13682"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-and-rejecting-of-pre-trained-deep-neural-networks-in-transfer-learning-based-on-separation-index-2012.13717</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-and-rejecting-of-pre-trained-deep-neural-networks-in-transfer-learning-based-on-separation-index-2012.13717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-and-rejecting-of-pre-trained-deep-neural-networks-in-transfer-learning-based-on-separation-index-2012.13717"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-multi-class-classification-of-medical-data-2012.13796</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-multi-class-classification-of-medical-data-2012.13796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-multi-class-classification-of-medical-data-2012.13796"/></url>
<url><loc>https://scifaro.com/en/abs/weighting-based-treatment-effect-estimation-via-distribution-learning-2012.13805</loc><lastmod>2023-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighting-based-treatment-effect-estimation-via-distribution-learning-2012.13805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighting-based-treatment-effect-estimation-via-distribution-learning-2012.13805"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-decoupled-and-early-weight-decay-2012.13841</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-decoupled-and-early-weight-decay-2012.13841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-decoupled-and-early-weight-decay-2012.13841"/></url>
<url><loc>https://scifaro.com/en/abs/neural-closure-models-for-dynamical-systems-2012.13869</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-closure-models-for-dynamical-systems-2012.13869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-closure-models-for-dynamical-systems-2012.13869"/></url>
<url><loc>https://scifaro.com/en/abs/federated-unlearning-2012.13891</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-unlearning-2012.13891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-unlearning-2012.13891"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-graph-based-generalized-regression-model-for-unsupervised-feature-selection-2012.13892</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-graph-based-generalized-regression-model-for-unsupervised-feature-selection-2012.13892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-graph-based-generalized-regression-model-for-unsupervised-feature-selection-2012.13892"/></url>
<url><loc>https://scifaro.com/en/abs/a-tutorial-on-sparse-gaussian-processes-and-variational-inference-2012.13962</loc><lastmod>2022-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tutorial-on-sparse-gaussian-processes-and-variational-inference-2012.13962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tutorial-on-sparse-gaussian-processes-and-variational-inference-2012.13962"/></url>
<url><loc>https://scifaro.com/en/abs/time-window-group-correlation-support-vs-individual-features-a-detection-of-abnormal-users-2012.13971</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-window-group-correlation-support-vs-individual-features-a-detection-of-abnormal-users-2012.13971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-window-group-correlation-support-vs-individual-features-a-detection-of-abnormal-users-2012.13971"/></url>
<url><loc>https://scifaro.com/en/abs/recomposition-vs-prediction-a-novel-anomaly-detection-for-discrete-events-based-on-autoencoder-2012.13972</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recomposition-vs-prediction-a-novel-anomaly-detection-for-discrete-events-based-on-autoencoder-2012.13972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recomposition-vs-prediction-a-novel-anomaly-detection-for-discrete-events-based-on-autoencoder-2012.13972"/></url>
<url><loc>https://scifaro.com/en/abs/domain-generalisation-with-domain-augmented-supervised-contrastive-learning-student-abstract-2012.13973</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-generalisation-with-domain-augmented-supervised-contrastive-learning-student-abstract-2012.13973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-generalisation-with-domain-augmented-supervised-contrastive-learning-student-abstract-2012.13973"/></url>
<url><loc>https://scifaro.com/en/abs/mathematical-models-of-overparameterized-neural-networks-2012.13982</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mathematical-models-of-overparameterized-neural-networks-2012.13982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mathematical-models-of-overparameterized-neural-networks-2012.13982"/></url>
<url><loc>https://scifaro.com/en/abs/blackwell-online-learning-for-markov-decision-processes-2012.14043</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blackwell-online-learning-for-markov-decision-processes-2012.14043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blackwell-online-learning-for-markov-decision-processes-2012.14043"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-neural-networks-in-multi-class-classification-of-medical-data-2012.14059</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-neural-networks-in-multi-class-classification-of-medical-data-2012.14059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-neural-networks-in-multi-class-classification-of-medical-data-2012.14059"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-with-heterogeneous-graph-embeddings-for-mortality-prediction-from-electronic-health-records-2012.14065</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-with-heterogeneous-graph-embeddings-for-mortality-prediction-from-electronic-health-records-2012.14065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-with-heterogeneous-graph-embeddings-for-mortality-prediction-from-electronic-health-records-2012.14065"/></url>
<url><loc>https://scifaro.com/en/abs/risk-sensitive-deep-rl-variance-constrained-actor-critic-provably-finds-globally-optimal-policy-2012.14098</loc><lastmod>2023-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-sensitive-deep-rl-variance-constrained-actor-critic-provably-finds-globally-optimal-policy-2012.14098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-sensitive-deep-rl-variance-constrained-actor-critic-provably-finds-globally-optimal-policy-2012.14098"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-learning-with-arbitrary-norms-2012.14172</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-learning-with-arbitrary-norms-2012.14172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-learning-with-arbitrary-norms-2012.14172"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-and-image-understanding-2012.14185</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-and-image-understanding-2012.14185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-and-image-understanding-2012.14185"/></url>
<url><loc>https://scifaro.com/en/abs/signed-graph-diffusion-network-2012.14191</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signed-graph-diffusion-network-2012.14191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signed-graph-diffusion-network-2012.14191"/></url>
<url><loc>https://scifaro.com/en/abs/catastrophic-fisher-explosion-early-phase-fisher-matrix-impacts-generalization-2012.14193</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/catastrophic-fisher-explosion-early-phase-fisher-matrix-impacts-generalization-2012.14193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/catastrophic-fisher-explosion-early-phase-fisher-matrix-impacts-generalization-2012.14193"/></url>
<url><loc>https://scifaro.com/en/abs/causal-world-models-by-unsupervised-deconfounding-of-physical-dynamics-2012.14228</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-world-models-by-unsupervised-deconfounding-of-physical-dynamics-2012.14228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-world-models-by-unsupervised-deconfounding-of-physical-dynamics-2012.14228"/></url>
<url><loc>https://scifaro.com/en/abs/testing-for-concept-shift-online-2012.14246</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-for-concept-shift-online-2012.14246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-for-concept-shift-online-2012.14246"/></url>
<url><loc>https://scifaro.com/en/abs/lattice-free-mmi-adaptation-of-self-supervised-pretrained-acoustic-models-2012.14252</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lattice-free-mmi-adaptation-of-self-supervised-pretrained-acoustic-models-2012.14252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lattice-free-mmi-adaptation-of-self-supervised-pretrained-acoustic-models-2012.14252"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-neural-network-interpretability-2012.14261</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-neural-network-interpretability-2012.14261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-neural-network-interpretability-2012.14261"/></url>
<url><loc>https://scifaro.com/en/abs/lifelong-learning-in-multi-armed-bandits-2012.14264</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifelong-learning-in-multi-armed-bandits-2012.14264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifelong-learning-in-multi-armed-bandits-2012.14264"/></url>
<url><loc>https://scifaro.com/en/abs/learning-by-ignoring-with-application-to-domain-adaptation-2012.14288</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-by-ignoring-with-application-to-domain-adaptation-2012.14288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-by-ignoring-with-application-to-domain-adaptation-2012.14288"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-in-geosciences-with-kernel-sensitivity-maps-2012.14303</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-in-geosciences-with-kernel-sensitivity-maps-2012.14303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-in-geosciences-with-kernel-sensitivity-maps-2012.14303"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-train-your-differentiable-filter-2012.14313</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-train-your-differentiable-filter-2012.14313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-train-your-differentiable-filter-2012.14313"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-quantile-loss-for-deep-neural-networks-2012.14348</loc><lastmod>2020-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-quantile-loss-for-deep-neural-networks-2012.14348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-quantile-loss-for-deep-neural-networks-2012.14348"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-dominant-classes-in-universal-adversarial-perturbations-2012.14352</loc><lastmod>2021-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-dominant-classes-in-universal-adversarial-perturbations-2012.14352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-dominant-classes-in-universal-adversarial-perturbations-2012.14352"/></url>
<url><loc>https://scifaro.com/en/abs/byzantine-resilient-non-convex-stochastic-gradient-descent-2012.14368</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/byzantine-resilient-non-convex-stochastic-gradient-descent-2012.14368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/byzantine-resilient-non-convex-stochastic-gradient-descent-2012.14368"/></url>
<url><loc>https://scifaro.com/en/abs/dalex-responsible-machine-learning-with-interactive-explainability-and-fairness-in-python-2012.14406</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dalex-responsible-machine-learning-with-interactive-explainability-and-fairness-in-python-2012.14406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dalex-responsible-machine-learning-with-interactive-explainability-and-fairness-in-python-2012.14406"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-approximation-for-online-tensorial-independent-component-analysis-2012.14415</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-approximation-for-online-tensorial-independent-component-analysis-2012.14415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-approximation-for-online-tensorial-independent-component-analysis-2012.14415"/></url>
<url><loc>https://scifaro.com/en/abs/straggler-resilient-federated-learning-leveraging-the-interplay-between-statistical-accuracy-and-system-heterogeneity-2012.14453</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/straggler-resilient-federated-learning-leveraging-the-interplay-between-statistical-accuracy-and-system-heterogeneity-2012.14453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/straggler-resilient-federated-learning-leveraging-the-interplay-between-statistical-accuracy-and-system-heterogeneity-2012.14453"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-pathological-and-normal-gait-a-survey-2012.14465</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-pathological-and-normal-gait-a-survey-2012.14465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-pathological-and-normal-gait-a-survey-2012.14465"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-anomalous-invoice-line-items-in-the-legal-case-lifecycle-2012.14511</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-anomalous-invoice-line-items-in-the-legal-case-lifecycle-2012.14511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-anomalous-invoice-line-items-in-the-legal-case-lifecycle-2012.14511"/></url>
<url><loc>https://scifaro.com/en/abs/tensorx-extensible-api-for-neural-network-model-design-and-deployment-2012.14539</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensorx-extensible-api-for-neural-network-model-design-and-deployment-2012.14539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensorx-extensible-api-for-neural-network-model-design-and-deployment-2012.14539"/></url>
<url><loc>https://scifaro.com/en/abs/source-identification-for-mixtures-of-product-distributions-2012.14540</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/source-identification-for-mixtures-of-product-distributions-2012.14540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/source-identification-for-mixtures-of-product-distributions-2012.14540"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-averaging-and-primal-dual-averaging-for-strongly-convex-optimization-2012.14558</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-averaging-and-primal-dual-averaging-for-strongly-convex-optimization-2012.14558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-averaging-and-primal-dual-averaging-for-strongly-convex-optimization-2012.14558"/></url>
<url><loc>https://scifaro.com/en/abs/a-differentially-private-multi-output-deep-generative-networks-approach-for-activity-diary-synthesis-2012.14574</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-differentially-private-multi-output-deep-generative-networks-approach-for-activity-diary-synthesis-2012.14574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-differentially-private-multi-output-deep-generative-networks-approach-for-activity-diary-synthesis-2012.14574"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-pca-via-l-2-p-norm-regularization-for-unsupervised-feature-selection-2012.14595</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-pca-via-l-2-p-norm-regularization-for-unsupervised-feature-selection-2012.14595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-pca-via-l-2-p-norm-regularization-for-unsupervised-feature-selection-2012.14595"/></url>
<url><loc>https://scifaro.com/en/abs/ailearn-an-adaptive-incremental-learning-model-for-spoof-fingerprint-detection-2012.14639</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ailearn-an-adaptive-incremental-learning-model-for-spoof-fingerprint-detection-2012.14639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ailearn-an-adaptive-incremental-learning-model-for-spoof-fingerprint-detection-2012.14639"/></url>
<url><loc>https://scifaro.com/en/abs/parzen-window-approximation-on-riemannian-manifold-2012.14661</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parzen-window-approximation-on-riemannian-manifold-2012.14661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parzen-window-approximation-on-riemannian-manifold-2012.14661"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-control-of-valves-2012.14668</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-control-of-valves-2012.14668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-control-of-valves-2012.14668"/></url>
<url><loc>https://scifaro.com/en/abs/fast-incremental-expectation-maximization-for-finite-sum-optimization-nonasymptotic-convergence-2012.14670</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-incremental-expectation-maximization-for-finite-sum-optimization-nonasymptotic-convergence-2012.14670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-incremental-expectation-maximization-for-finite-sum-optimization-nonasymptotic-convergence-2012.14670"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-micro-macro-level-convolution-for-heterogeneous-graph-learning-2012.14722</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-micro-macro-level-convolution-for-heterogeneous-graph-learning-2012.14722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-micro-macro-level-convolution-for-heterogeneous-graph-learning-2012.14722"/></url>
<url><loc>https://scifaro.com/en/abs/attre2vec-unsupervised-attributed-edge-representation-learning-2012.14727</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attre2vec-unsupervised-attributed-edge-representation-learning-2012.14727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attre2vec-unsupervised-attributed-edge-representation-learning-2012.14727"/></url>
<url><loc>https://scifaro.com/en/abs/with-false-friends-like-these-who-can-notice-mistakes-2012.14738</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/with-false-friends-like-these-who-can-notice-mistakes-2012.14738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/with-false-friends-like-these-who-can-notice-mistakes-2012.14738"/></url>
<url><loc>https://scifaro.com/en/abs/improved-sample-complexity-for-incremental-autonomous-exploration-in-mdps-2012.14755</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-sample-complexity-for-incremental-autonomous-exploration-in-mdps-2012.14755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-sample-complexity-for-incremental-autonomous-exploration-in-mdps-2012.14755"/></url>
<url><loc>https://scifaro.com/en/abs/drift-aware-multi-memory-model-for-imbalanced-data-streams-2012.14791</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drift-aware-multi-memory-model-for-imbalanced-data-streams-2012.14791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drift-aware-multi-memory-model-for-imbalanced-data-streams-2012.14791"/></url>
<url><loc>https://scifaro.com/en/abs/a-sparse-model-inspired-deep-thresholding-network-for-exponential-signal-reconstruction-application-in-fast-biological-spectroscopy-2012.14830</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sparse-model-inspired-deep-thresholding-network-for-exponential-signal-reconstruction-application-in-fast-biological-spectroscopy-2012.14830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sparse-model-inspired-deep-thresholding-network-for-exponential-signal-reconstruction-application-in-fast-biological-spectroscopy-2012.14830"/></url>
<url><loc>https://scifaro.com/en/abs/learning-adversarial-markov-decision-processes-with-delayed-feedback-2012.14843</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-adversarial-markov-decision-processes-with-delayed-feedback-2012.14843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-adversarial-markov-decision-processes-with-delayed-feedback-2012.14843"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-excess-risk-in-bayesian-learning-2012.14868</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-excess-risk-in-bayesian-learning-2012.14868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-excess-risk-in-bayesian-learning-2012.14868"/></url>
<url><loc>https://scifaro.com/en/abs/twin-neural-network-regression-2012.14873</loc><lastmod>2022-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/twin-neural-network-regression-2012.14873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/twin-neural-network-regression-2012.14873"/></url>
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<url><loc>https://scifaro.com/en/abs/meta-learning-backpropagation-and-improving-it-2012.14905</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-backpropagation-and-improving-it-2012.14905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-backpropagation-and-improving-it-2012.14905"/></url>
<url><loc>https://scifaro.com/en/abs/synthesizing-decentralized-controllers-with-graph-neural-networks-and-imitation-learning-2012.14906</loc><lastmod>2022-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthesizing-decentralized-controllers-with-graph-neural-networks-and-imitation-learning-2012.14906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthesizing-decentralized-controllers-with-graph-neural-networks-and-imitation-learning-2012.14906"/></url>
<url><loc>https://scifaro.com/en/abs/lispr-an-options-framework-for-policy-reuse-with-reinforcement-learning-2012.14942</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lispr-an-options-framework-for-policy-reuse-with-reinforcement-learning-2012.14942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lispr-an-options-framework-for-policy-reuse-with-reinforcement-learning-2012.14942"/></url>
<url><loc>https://scifaro.com/en/abs/towards-fair-deep-anomaly-detection-2012.14961</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-fair-deep-anomaly-detection-2012.14961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-fair-deep-anomaly-detection-2012.14961"/></url>
<url><loc>https://scifaro.com/en/abs/improving-adversarial-robustness-in-weight-quantized-neural-networks-2012.14965</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-adversarial-robustness-in-weight-quantized-neural-networks-2012.14965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-adversarial-robustness-in-weight-quantized-neural-networks-2012.14965"/></url>
<url><loc>https://scifaro.com/en/abs/kaleidoscope-an-efficient-learnable-representation-for-all-structured-linear-maps-2012.14966</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kaleidoscope-an-efficient-learnable-representation-for-all-structured-linear-maps-2012.14966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kaleidoscope-an-efficient-learnable-representation-for-all-structured-linear-maps-2012.14966"/></url>
<url><loc>https://scifaro.com/en/abs/elastic-net-based-feature-ranking-and-selection-2012.14982</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elastic-net-based-feature-ranking-and-selection-2012.14982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elastic-net-based-feature-ranking-and-selection-2012.14982"/></url>
<url><loc>https://scifaro.com/en/abs/deepsphere-a-graph-based-spherical-cnn-2012.15000</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepsphere-a-graph-based-spherical-cnn-2012.15000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepsphere-a-graph-based-spherical-cnn-2012.15000"/></url>
<url><loc>https://scifaro.com/en/abs/infer-avae-an-attribute-inference-model-based-on-adversarial-variational-autoencoder-2012.15005</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infer-avae-an-attribute-inference-model-based-on-adversarial-variational-autoencoder-2012.15005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infer-avae-an-attribute-inference-model-based-on-adversarial-variational-autoencoder-2012.15005"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-graph-based-anomaly-detection-in-the-electrical-grid-2012.15006</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-graph-based-anomaly-detection-in-the-electrical-grid-2012.15006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-graph-based-anomaly-detection-in-the-electrical-grid-2012.15006"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-constrained-policies-via-mutual-information-regularized-policy-gradients-2012.15019</loc><lastmod>2024-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-constrained-policies-via-mutual-information-regularized-policy-gradients-2012.15019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-constrained-policies-via-mutual-information-regularized-policy-gradients-2012.15019"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-graph-diffusion-networks-2012.15024</loc><lastmod>2022-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-graph-diffusion-networks-2012.15024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-graph-diffusion-networks-2012.15024"/></url>
<url><loc>https://scifaro.com/en/abs/equipment-failure-analysis-for-oil-and-gas-industry-with-an-ensemble-predictive-model-2012.15030</loc><lastmod>2023-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equipment-failure-analysis-for-oil-and-gas-industry-with-an-ensemble-predictive-model-2012.15030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equipment-failure-analysis-for-oil-and-gas-industry-with-an-ensemble-predictive-model-2012.15030"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-real-time-prediction-of-faults-using-the-support-vector-machine-2012.15032</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-real-time-prediction-of-faults-using-the-support-vector-machine-2012.15032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-real-time-prediction-of-faults-using-the-support-vector-machine-2012.15032"/></url>
<url><loc>https://scifaro.com/en/abs/sgd-distributional-dynamics-of-three-layer-neural-networks-2012.15036</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgd-distributional-dynamics-of-three-layer-neural-networks-2012.15036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgd-distributional-dynamics-of-three-layer-neural-networks-2012.15036"/></url>
<url><loc>https://scifaro.com/en/abs/joint-air-quality-and-weather-prediction-based-on-multi-adversarial-spatiotemporal-networks-2012.15037</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-air-quality-and-weather-prediction-based-on-multi-adversarial-spatiotemporal-networks-2012.15037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-air-quality-and-weather-prediction-based-on-multi-adversarial-spatiotemporal-networks-2012.15037"/></url>
<url><loc>https://scifaro.com/en/abs/ensembles-of-localised-models-for-time-series-forecasting-2012.15059</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensembles-of-localised-models-for-time-series-forecasting-2012.15059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensembles-of-localised-models-for-time-series-forecasting-2012.15059"/></url>
<url><loc>https://scifaro.com/en/abs/is-pessimism-provably-efficient-for-offline-rl-2012.15085</loc><lastmod>2022-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-pessimism-provably-efficient-for-offline-rl-2012.15085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-pessimism-provably-efficient-for-offline-rl-2012.15085"/></url>
<url><loc>https://scifaro.com/en/abs/explanations-of-machine-learning-predictions-a-mandatory-step-for-its-application-to-operational-processes-2012.15103</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explanations-of-machine-learning-predictions-a-mandatory-step-for-its-application-to-operational-processes-2012.15103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explanations-of-machine-learning-predictions-a-mandatory-step-for-its-application-to-operational-processes-2012.15103"/></url>
<url><loc>https://scifaro.com/en/abs/perspective-a-phase-diagram-for-deep-learning-unifying-jamming-feature-learning-and-lazy-training-2012.15110</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perspective-a-phase-diagram-for-deep-learning-unifying-jamming-feature-learning-and-lazy-training-2012.15110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perspective-a-phase-diagram-for-deep-learning-unifying-jamming-feature-learning-and-lazy-training-2012.15110"/></url>
<url><loc>https://scifaro.com/en/abs/crossover-sgd-a-gossip-based-communication-in-distributed-deep-learning-for-alleviating-large-mini-batch-problem-and-enhancing-scalability-2012.15198</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crossover-sgd-a-gossip-based-communication-in-distributed-deep-learning-for-alleviating-large-mini-batch-problem-and-enhancing-scalability-2012.15198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crossover-sgd-a-gossip-based-communication-in-distributed-deep-learning-for-alleviating-large-mini-batch-problem-and-enhancing-scalability-2012.15198"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-resampling-technique-for-imbalanced-dataset-optimization-2012.15231</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-resampling-technique-for-imbalanced-dataset-optimization-2012.15231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-resampling-technique-for-imbalanced-dataset-optimization-2012.15231"/></url>
<url><loc>https://scifaro.com/en/abs/a-maximal-correlation-approach-to-imposing-fairness-in-machine-learning-2012.15259</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-maximal-correlation-approach-to-imposing-fairness-in-machine-learning-2012.15259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-maximal-correlation-approach-to-imposing-fairness-in-machine-learning-2012.15259"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-visual-planning-with-self-supervised-functional-distances-2012.15373</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-visual-planning-with-self-supervised-functional-distances-2012.15373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-visual-planning-with-self-supervised-functional-distances-2012.15373"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-operating-procedure-for-deep-learning-an-unconstrained-optimal-design-perspective-2012.15391</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-operating-procedure-for-deep-learning-an-unconstrained-optimal-design-perspective-2012.15391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-operating-procedure-for-deep-learning-an-unconstrained-optimal-design-perspective-2012.15391"/></url>
<url><loc>https://scifaro.com/en/abs/gated-ensemble-of-spatio-temporal-mixture-of-experts-for-multi-task-learning-in-ride-hailing-system-2012.15408</loc><lastmod>2024-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gated-ensemble-of-spatio-temporal-mixture-of-experts-for-multi-task-learning-in-ride-hailing-system-2012.15408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gated-ensemble-of-spatio-temporal-mixture-of-experts-for-multi-task-learning-in-ride-hailing-system-2012.15408"/></url>
<url><loc>https://scifaro.com/en/abs/algorithms-for-learning-graphs-in-financial-markets-2012.15410</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithms-for-learning-graphs-in-financial-markets-2012.15410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithms-for-learning-graphs-in-financial-markets-2012.15410"/></url>
<url><loc>https://scifaro.com/en/abs/deeptake-prediction-of-driver-takeover-behavior-using-multimodal-data-2012.15441</loc><lastmod>2021-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeptake-prediction-of-driver-takeover-behavior-using-multimodal-data-2012.15441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeptake-prediction-of-driver-takeover-behavior-using-multimodal-data-2012.15441"/></url>
<url><loc>https://scifaro.com/en/abs/explainability-in-graph-neural-networks-a-taxonomic-survey-2012.15445</loc><lastmod>2022-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainability-in-graph-neural-networks-a-taxonomic-survey-2012.15445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainability-in-graph-neural-networks-a-taxonomic-survey-2012.15445"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-ode-based-neural-networks-on-low-cost-fpgas-2012.15465</loc><lastmod>2023-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-ode-based-neural-networks-on-low-cost-fpgas-2012.15465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-ode-based-neural-networks-on-low-cost-fpgas-2012.15465"/></url>
<url><loc>https://scifaro.com/en/abs/cada-communication-adaptive-distributed-adam-2012.15469</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cada-communication-adaptive-distributed-adam-2012.15469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cada-communication-adaptive-distributed-adam-2012.15469"/></url>
<url><loc>https://scifaro.com/en/abs/good-practices-for-bayesian-optimization-of-high-dimensional-structured-spaces-2012.15471</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/good-practices-for-bayesian-optimization-of-high-dimensional-structured-spaces-2012.15471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/good-practices-for-bayesian-optimization-of-high-dimensional-structured-spaces-2012.15471"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-ratio-exponential-families-2012.15480</loc><lastmod>2021-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-ratio-exponential-families-2012.15480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-ratio-exponential-families-2012.15480"/></url>
<url><loc>https://scifaro.com/en/abs/why-do-classifier-accuracies-show-linear-trends-under-distribution-shift-2012.15483</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-do-classifier-accuracies-show-linear-trends-under-distribution-shift-2012.15483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-do-classifier-accuracies-show-linear-trends-under-distribution-shift-2012.15483"/></url>
<url><loc>https://scifaro.com/en/abs/super-k-a-piecewise-linear-classifier-based-on-voronoi-tessellations-2012.15492</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/super-k-a-piecewise-linear-classifier-based-on-voronoi-tessellations-2012.15492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/super-k-a-piecewise-linear-classifier-based-on-voronoi-tessellations-2012.15492"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-likelihood-quantum-state-tomography-by-soft-bayes-2012.15498</loc><lastmod>2022-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-likelihood-quantum-state-tomography-by-soft-bayes-2012.15498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-likelihood-quantum-state-tomography-by-soft-bayes-2012.15498"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-model-composition-in-machine-learning-and-its-implementation-in-mlj-2012.15505</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-model-composition-in-machine-learning-and-its-implementation-in-mlj-2012.15505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-model-composition-in-machine-learning-and-its-implementation-in-mlj-2012.15505"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-asynchronous-advantage-actor-critic-convergence-and-linear-speedup-2012.15511</loc><lastmod>2023-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-asynchronous-advantage-actor-critic-convergence-and-linear-speedup-2012.15511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-asynchronous-advantage-actor-critic-convergence-and-linear-speedup-2012.15511"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-historical-feature-generation-through-tree-based-method-in-ads-prediction-2012.15522</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-historical-feature-generation-through-tree-based-method-in-ads-prediction-2012.15522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-historical-feature-generation-through-tree-based-method-in-ads-prediction-2012.15522"/></url>
<url><loc>https://scifaro.com/en/abs/xerte-explainable-reasoning-on-temporal-knowledge-graphs-for-forecasting-future-links-2012.15537</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xerte-explainable-reasoning-on-temporal-knowledge-graphs-for-forecasting-future-links-2012.15537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xerte-explainable-reasoning-on-temporal-knowledge-graphs-for-forecasting-future-links-2012.15537"/></url>
<url><loc>https://scifaro.com/en/abs/deep-graph-generators-a-survey-2012.15544</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-graph-generators-a-survey-2012.15544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-graph-generators-a-survey-2012.15544"/></url>
<url><loc>https://scifaro.com/en/abs/searching-a-raw-video-database-using-natural-language-queries-2012.15565</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/searching-a-raw-video-database-using-natural-language-queries-2012.15565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/searching-a-raw-video-database-using-natural-language-queries-2012.15565"/></url>
<url><loc>https://scifaro.com/en/abs/robust-asymmetric-learning-in-pomdps-2012.15566</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-asymmetric-learning-in-pomdps-2012.15566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-asymmetric-learning-in-pomdps-2012.15566"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-pure-exploration-with-full-bandit-feedback-and-beyond-solving-combinatorial-optimization-under-uncertainty-with-limited-observation-2012.15584</loc><lastmod>2023-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-pure-exploration-with-full-bandit-feedback-and-beyond-solving-combinatorial-optimization-under-uncertainty-with-limited-observation-2012.15584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-pure-exploration-with-full-bandit-feedback-and-beyond-solving-combinatorial-optimization-under-uncertainty-with-limited-observation-2012.15584"/></url>
<url><loc>https://scifaro.com/en/abs/pfl-moe-personalized-federated-learning-based-on-mixture-of-experts-2012.15589</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pfl-moe-personalized-federated-learning-based-on-mixture-of-experts-2012.15589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pfl-moe-personalized-federated-learning-based-on-mixture-of-experts-2012.15589"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-transitivity-for-top-k-selection-with-score-based-dueling-bandits-2012.15637</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-transitivity-for-top-k-selection-with-score-based-dueling-bandits-2012.15637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-transitivity-for-top-k-selection-with-score-based-dueling-bandits-2012.15637"/></url>
<url><loc>https://scifaro.com/en/abs/i-o-lower-bounds-for-auto-tuning-of-convolutions-in-cnns-2012.15667</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/i-o-lower-bounds-for-auto-tuning-of-convolutions-in-cnns-2012.15667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/i-o-lower-bounds-for-auto-tuning-of-convolutions-in-cnns-2012.15667"/></url>
<url><loc>https://scifaro.com/en/abs/robust-data-driven-error-compensation-for-a-battery-model-2012.15686</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-data-driven-error-compensation-for-a-battery-model-2012.15686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-data-driven-error-compensation-for-a-battery-model-2012.15686"/></url>
<url><loc>https://scifaro.com/en/abs/coded-machine-unlearning-2012.15721</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coded-machine-unlearning-2012.15721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coded-machine-unlearning-2012.15721"/></url>
<url><loc>https://scifaro.com/en/abs/improving-unsupervised-domain-adaptation-by-reducing-bi-level-feature-redundancy-2012.15732</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-unsupervised-domain-adaptation-by-reducing-bi-level-feature-redundancy-2012.15732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-unsupervised-domain-adaptation-by-reducing-bi-level-feature-redundancy-2012.15732"/></url>
<url><loc>https://scifaro.com/en/abs/lookhops-light-multi-order-convolution-and-pooling-for-graph-classification-2012.15741</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lookhops-light-multi-order-convolution-and-pooling-for-graph-classification-2012.15741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lookhops-light-multi-order-convolution-and-pooling-for-graph-classification-2012.15741"/></url>
<url><loc>https://scifaro.com/en/abs/am-i-rare-an-intelligent-summarization-approach-for-identifying-hidden-anomalies-2012.15755</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/am-i-rare-an-intelligent-summarization-approach-for-identifying-hidden-anomalies-2012.15755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/am-i-rare-an-intelligent-summarization-approach-for-identifying-hidden-anomalies-2012.15755"/></url>
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<url><loc>https://scifaro.com/en/abs/fastif-scalable-influence-functions-for-efficient-model-interpretation-and-debugging-2012.15781</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fastif-scalable-influence-functions-for-efficient-model-interpretation-and-debugging-2012.15781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fastif-scalable-influence-functions-for-efficient-model-interpretation-and-debugging-2012.15781"/></url>
<url><loc>https://scifaro.com/en/abs/the-sample-complexity-of-robust-covariance-testing-2012.15802</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-sample-complexity-of-robust-covariance-testing-2012.15802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-sample-complexity-of-robust-covariance-testing-2012.15802"/></url>
<url><loc>https://scifaro.com/en/abs/language-mediated-object-centric-representation-learning-2012.15814</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/language-mediated-object-centric-representation-learning-2012.15814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/language-mediated-object-centric-representation-learning-2012.15814"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-in-machine-learning-2012.15816</loc><lastmod>2021-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-in-machine-learning-2012.15816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-in-machine-learning-2012.15816"/></url>
<url><loc>https://scifaro.com/en/abs/binary-graph-neural-networks-2012.15823</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-graph-neural-networks-2012.15823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-graph-neural-networks-2012.15823"/></url>
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<url><loc>https://scifaro.com/en/abs/random-embeddings-with-optimal-accuracy-2101.00029</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-embeddings-with-optimal-accuracy-2101.00029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-embeddings-with-optimal-accuracy-2101.00029"/></url>
<url><loc>https://scifaro.com/en/abs/modified-gaussian-process-regression-models-for-cyclic-capacity-prediction-of-lithium-ion-batteries-2101.00035</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modified-gaussian-process-regression-models-for-cyclic-capacity-prediction-of-lithium-ion-batteries-2101.00035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modified-gaussian-process-regression-models-for-cyclic-capacity-prediction-of-lithium-ion-batteries-2101.00035"/></url>
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<url><loc>https://scifaro.com/en/abs/explicit-regularization-and-implicit-bias-in-deep-network-classifiers-trained-with-the-square-loss-2101.00072</loc><lastmod>2021-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explicit-regularization-and-implicit-bias-in-deep-network-classifiers-trained-with-the-square-loss-2101.00072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explicit-regularization-and-implicit-bias-in-deep-network-classifiers-trained-with-the-square-loss-2101.00072"/></url>
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<url><loc>https://scifaro.com/en/abs/data-driven-copy-paste-imputation-for-energy-time-series-2101.01423</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-copy-paste-imputation-for-energy-time-series-2101.01423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-copy-paste-imputation-for-energy-time-series-2101.01423"/></url>
<url><loc>https://scifaro.com/en/abs/het-node2vec-second-order-random-walk-sampling-for-heterogeneous-multigraphs-embedding-2101.01425</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/het-node2vec-second-order-random-walk-sampling-for-heterogeneous-multigraphs-embedding-2101.01425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/het-node2vec-second-order-random-walk-sampling-for-heterogeneous-multigraphs-embedding-2101.01425"/></url>
<url><loc>https://scifaro.com/en/abs/generating-informative-cve-description-from-exploitdb-posts-by-extractive-summarization-2101.01431</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-informative-cve-description-from-exploitdb-posts-by-extractive-summarization-2101.01431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-informative-cve-description-from-exploitdb-posts-by-extractive-summarization-2101.01431"/></url>
<url><loc>https://scifaro.com/en/abs/data-quality-measures-and-efficient-evaluation-algorithms-for-large-scale-high-dimensional-data-2101.01441</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-quality-measures-and-efficient-evaluation-algorithms-for-large-scale-high-dimensional-data-2101.01441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-quality-measures-and-efficient-evaluation-algorithms-for-large-scale-high-dimensional-data-2101.01441"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sign-constrained-support-vector-machines-2101.01473</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sign-constrained-support-vector-machines-2101.01473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sign-constrained-support-vector-machines-2101.01473"/></url>
<url><loc>https://scifaro.com/en/abs/control-data-separation-and-logical-condition-propagation-for-efficient-inference-on-probabilistic-programs-2101.01502</loc><lastmod>2023-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/control-data-separation-and-logical-condition-propagation-for-efficient-inference-on-probabilistic-programs-2101.01502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/control-data-separation-and-logical-condition-propagation-for-efficient-inference-on-probabilistic-programs-2101.01502"/></url>
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<url><loc>https://scifaro.com/en/abs/auto-encoding-molecular-conformations-2101.01618</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-encoding-molecular-conformations-2101.01618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-encoding-molecular-conformations-2101.01618"/></url>
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<url><loc>https://scifaro.com/en/abs/label-augmentation-via-time-based-knowledge-distillation-for-financial-anomaly-detection-2101.01689</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-augmentation-via-time-based-knowledge-distillation-for-financial-anomaly-detection-2101.01689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-augmentation-via-time-based-knowledge-distillation-for-financial-anomaly-detection-2101.01689"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-movies-to-predict-their-commercial-viability-for-producers-2101.01697</loc><lastmod>2021-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-movies-to-predict-their-commercial-viability-for-producers-2101.01697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-movies-to-predict-their-commercial-viability-for-producers-2101.01697"/></url>
<url><loc>https://scifaro.com/en/abs/online-multivalid-learning-means-moments-and-prediction-intervals-2101.01739</loc><lastmod>2023-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-multivalid-learning-means-moments-and-prediction-intervals-2101.01739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-multivalid-learning-means-moments-and-prediction-intervals-2101.01739"/></url>
<url><loc>https://scifaro.com/en/abs/autodropout-learning-dropout-patterns-to-regularize-deep-networks-2101.01761</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autodropout-learning-dropout-patterns-to-regularize-deep-networks-2101.01761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autodropout-learning-dropout-patterns-to-regularize-deep-networks-2101.01761"/></url>
<url><loc>https://scifaro.com/en/abs/a-unifying-approach-on-bias-and-variance-analysis-for-classification-2101.01765</loc><lastmod>2021-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unifying-approach-on-bias-and-variance-analysis-for-classification-2101.01765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unifying-approach-on-bias-and-variance-analysis-for-classification-2101.01765"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-extended-granger-causality-for-classification-of-marijuana-users-from-functional-mri-2101.01832</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-extended-granger-causality-for-classification-of-marijuana-users-from-functional-mri-2101.01832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-extended-granger-causality-for-classification-of-marijuana-users-from-functional-mri-2101.01832"/></url>
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<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-latent-flow-2101.01857</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-latent-flow-2101.01857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-latent-flow-2101.01857"/></url>
<url><loc>https://scifaro.com/en/abs/dame-flame-a-python-library-providing-fast-interpretable-matching-for-causal-inference-2101.01867</loc><lastmod>2023-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dame-flame-a-python-library-providing-fast-interpretable-matching-for-causal-inference-2101.01867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dame-flame-a-python-library-providing-fast-interpretable-matching-for-causal-inference-2101.01867"/></url>
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<url><loc>https://scifaro.com/en/abs/3d-convolutional-selective-autoencoder-for-instability-detection-in-combustion-systems-2101.01877</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/3d-convolutional-selective-autoencoder-for-instability-detection-in-combustion-systems-2101.01877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/3d-convolutional-selective-autoencoder-for-instability-detection-in-combustion-systems-2101.01877"/></url>
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<url><loc>https://scifaro.com/en/abs/phase-transitions-in-transfer-learning-for-high-dimensional-perceptrons-2101.01918</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phase-transitions-in-transfer-learning-for-high-dimensional-perceptrons-2101.01918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phase-transitions-in-transfer-learning-for-high-dimensional-perceptrons-2101.01918"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-with-quantum-inspired-experience-replay-2101.02034</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-quantum-inspired-experience-replay-2101.02034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-quantum-inspired-experience-replay-2101.02034"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-entropic-exploration-2101.02055</loc><lastmod>2021-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-entropic-exploration-2101.02055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-entropic-exploration-2101.02055"/></url>
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<url><loc>https://scifaro.com/en/abs/fairness-with-continuous-optimal-transport-2101.02084</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-with-continuous-optimal-transport-2101.02084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-with-continuous-optimal-transport-2101.02084"/></url>
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<url><loc>https://scifaro.com/en/abs/attention-based-convolutional-autoencoders-for-3d-variational-data-assimilation-2101.02121</loc><lastmod>2021-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-based-convolutional-autoencoders-for-3d-variational-data-assimilation-2101.02121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-based-convolutional-autoencoders-for-3d-variational-data-assimilation-2101.02121"/></url>
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<url><loc>https://scifaro.com/en/abs/evaluating-soccer-player-from-live-camera-to-deep-reinforcement-learning-2101.05388</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-soccer-player-from-live-camera-to-deep-reinforcement-learning-2101.05388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-soccer-player-from-live-camera-to-deep-reinforcement-learning-2101.05388"/></url>
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<url><loc>https://scifaro.com/en/abs/should-ensemble-members-be-calibrated-2101.05397</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/should-ensemble-members-be-calibrated-2101.05397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/should-ensemble-members-be-calibrated-2101.05397"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-opportunities-and-challenges-2101.05428</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-opportunities-and-challenges-2101.05428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-opportunities-and-challenges-2101.05428"/></url>
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<url><loc>https://scifaro.com/en/abs/towards-practical-adam-non-convexity-convergence-theory-and-mini-batch-acceleration-2101.05471</loc><lastmod>2022-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-practical-adam-non-convexity-convergence-theory-and-mini-batch-acceleration-2101.05471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-practical-adam-non-convexity-convergence-theory-and-mini-batch-acceleration-2101.05471"/></url>
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<url><loc>https://scifaro.com/en/abs/neural-networks-behave-as-hash-encoders-an-empirical-study-2101.05490</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-behave-as-hash-encoders-an-empirical-study-2101.05490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-behave-as-hash-encoders-an-empirical-study-2101.05490"/></url>
<url><loc>https://scifaro.com/en/abs/joint-dimensionality-reduction-for-separable-embedding-estimation-2101.05500</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-dimensionality-reduction-for-separable-embedding-estimation-2101.05500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-dimensionality-reduction-for-separable-embedding-estimation-2101.05500"/></url>
<url><loc>https://scifaro.com/en/abs/reliability-check-via-weight-similarity-in-privacy-preserving-multi-party-machine-learning-2101.05504</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliability-check-via-weight-similarity-in-privacy-preserving-multi-party-machine-learning-2101.05504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliability-check-via-weight-similarity-in-privacy-preserving-multi-party-machine-learning-2101.05504"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-the-robustness-of-collaborative-agents-2101.05507</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-the-robustness-of-collaborative-agents-2101.05507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-the-robustness-of-collaborative-agents-2101.05507"/></url>
<url><loc>https://scifaro.com/en/abs/entangled-kernels-beyond-separability-2101.05514</loc><lastmod>2021-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entangled-kernels-beyond-separability-2101.05514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entangled-kernels-beyond-separability-2101.05514"/></url>
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<url><loc>https://scifaro.com/en/abs/scaling-equilibrium-propagation-to-deep-convnets-by-drastically-reducing-its-gradient-estimator-bias-2101.05536</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-equilibrium-propagation-to-deep-convnets-by-drastically-reducing-its-gradient-estimator-bias-2101.05536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-equilibrium-propagation-to-deep-convnets-by-drastically-reducing-its-gradient-estimator-bias-2101.05536"/></url>
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<url><loc>https://scifaro.com/en/abs/a-physics-informed-machine-learning-model-for-porosity-analysis-in-laser-powder-bed-fusion-additive-manufacturing-2101.05605</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-physics-informed-machine-learning-model-for-porosity-analysis-in-laser-powder-bed-fusion-additive-manufacturing-2101.05605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-physics-informed-machine-learning-model-for-porosity-analysis-in-laser-powder-bed-fusion-additive-manufacturing-2101.05605"/></url>
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<url><loc>https://scifaro.com/en/abs/fbgemm-enabling-high-performance-low-precision-deep-learning-inference-2101.05615</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fbgemm-enabling-high-performance-low-precision-deep-learning-inference-2101.05615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fbgemm-enabling-high-performance-low-precision-deep-learning-inference-2101.05615"/></url>
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<url><loc>https://scifaro.com/en/abs/design-of-borehole-resistivity-measurement-acquisition-systems-using-deep-learning-2101.05623</loc><lastmod>2021-01-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/design-of-borehole-resistivity-measurement-acquisition-systems-using-deep-learning-2101.05623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/design-of-borehole-resistivity-measurement-acquisition-systems-using-deep-learning-2101.05623"/></url>
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<url><loc>https://scifaro.com/en/abs/topological-deep-learning-2101.05778</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-deep-learning-2101.05778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-deep-learning-2101.05778"/></url>
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<url><loc>https://scifaro.com/en/abs/a-multilevel-clustering-technique-for-community-detection-2101.06551</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multilevel-clustering-technique-for-community-detection-2101.06551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multilevel-clustering-technique-for-community-detection-2101.06551"/></url>
<url><loc>https://scifaro.com/en/abs/diverse-complexity-measures-for-dataset-curation-in-self-driving-2101.06554</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diverse-complexity-measures-for-dataset-curation-in-self-driving-2101.06554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diverse-complexity-measures-for-dataset-curation-in-self-driving-2101.06554"/></url>
<url><loc>https://scifaro.com/en/abs/deep-mobility-a-deep-learning-approach-for-an-efficient-and-reliable-5g-handover-2101.06558</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-mobility-a-deep-learning-approach-for-an-efficient-and-reliable-5g-handover-2101.06558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-mobility-a-deep-learning-approach-for-an-efficient-and-reliable-5g-handover-2101.06558"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-on-multi-agent-communication-2101.06560</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-on-multi-agent-communication-2101.06560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-on-multi-agent-communication-2101.06560"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-learning-of-human-activity-predictors-in-smart-environments-2101.06564</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-learning-of-human-activity-predictors-in-smart-environments-2101.06564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-learning-of-human-activity-predictors-in-smart-environments-2101.06564"/></url>
<url><loc>https://scifaro.com/en/abs/membership-inference-attack-on-graph-neural-networks-2101.06570</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/membership-inference-attack-on-graph-neural-networks-2101.06570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/membership-inference-attack-on-graph-neural-networks-2101.06570"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-deep-learning-for-traffic-state-estimation-2101.06580</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-deep-learning-for-traffic-state-estimation-2101.06580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-deep-learning-for-traffic-state-estimation-2101.06580"/></url>
<url><loc>https://scifaro.com/en/abs/cost-efficient-online-hyperparameter-optimization-2101.06590</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-efficient-online-hyperparameter-optimization-2101.06590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-efficient-online-hyperparameter-optimization-2101.06590"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-observed-causal-effects-from-latent-confounders-using-method-of-moments-2101.06614</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-observed-causal-effects-from-latent-confounders-using-method-of-moments-2101.06614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-observed-causal-effects-from-latent-confounders-using-method-of-moments-2101.06614"/></url>
<url><loc>https://scifaro.com/en/abs/removing-undesirable-feature-contributions-using-out-of-distribution-data-2101.06639</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/removing-undesirable-feature-contributions-using-out-of-distribution-data-2101.06639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/removing-undesirable-feature-contributions-using-out-of-distribution-data-2101.06639"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-informativeness-of-samples-with-smooth-unique-information-2101.06640</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-informativeness-of-samples-with-smooth-unique-information-2101.06640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-informativeness-of-samples-with-smooth-unique-information-2101.06640"/></url>
<url><loc>https://scifaro.com/en/abs/energy-based-dropout-in-restricted-boltzmann-machines-why-not-go-random-2101.06741</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-based-dropout-in-restricted-boltzmann-machines-why-not-go-random-2101.06741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-based-dropout-in-restricted-boltzmann-machines-why-not-go-random-2101.06741"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-network-decomposition-for-fast-and-scalable-ac-opf-learning-2101.06768</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-network-decomposition-for-fast-and-scalable-ac-opf-learning-2101.06768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-network-decomposition-for-fast-and-scalable-ac-opf-learning-2101.06768"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-pandemics-using-extraordinary-events-can-improve-disease-now-casting-models-2101.06774</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-pandemics-using-extraordinary-events-can-improve-disease-now-casting-models-2101.06774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-pandemics-using-extraordinary-events-can-improve-disease-now-casting-models-2101.06774"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-similarity-graph-neural-network-on-electronic-health-records-2101.06800</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-similarity-graph-neural-network-on-electronic-health-records-2101.06800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-similarity-graph-neural-network-on-electronic-health-records-2101.06800"/></url>
<url><loc>https://scifaro.com/en/abs/measure-conditional-discriminator-with-stationary-optimum-for-gans-and-statistical-distance-surrogates-2101.06802</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measure-conditional-discriminator-with-stationary-optimum-for-gans-and-statistical-distance-surrogates-2101.06802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measure-conditional-discriminator-with-stationary-optimum-for-gans-and-statistical-distance-surrogates-2101.06802"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-accurate-learned-multiresolution-dynamical-downscaling-for-precipitation-2101.06813</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-accurate-learned-multiresolution-dynamical-downscaling-for-precipitation-2101.06813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-accurate-learned-multiresolution-dynamical-downscaling-for-precipitation-2101.06813"/></url>
<url><loc>https://scifaro.com/en/abs/hyperntf-a-hypergraph-regularized-nonnegative-tensor-factorization-for-dimensionality-reduction-2101.06827</loc><lastmod>2022-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperntf-a-hypergraph-regularized-nonnegative-tensor-factorization-for-dimensionality-reduction-2101.06827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperntf-a-hypergraph-regularized-nonnegative-tensor-factorization-for-dimensionality-reduction-2101.06827"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-differentially-private-nature-of-perturbed-gradient-descent-2101.06847</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-differentially-private-nature-of-perturbed-gradient-descent-2101.06847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-differentially-private-nature-of-perturbed-gradient-descent-2101.06847"/></url>
<url><loc>https://scifaro.com/en/abs/stacked-lstm-based-deep-recurrent-neural-network-with-kalman-smoothing-for-blood-glucose-prediction-2101.06850</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stacked-lstm-based-deep-recurrent-neural-network-with-kalman-smoothing-for-blood-glucose-prediction-2101.06850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stacked-lstm-based-deep-recurrent-neural-network-with-kalman-smoothing-for-blood-glucose-prediction-2101.06850"/></url>
<url><loc>https://scifaro.com/en/abs/graphattacker-a-general-multi-task-graphattack-framework-2101.06855</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphattacker-a-general-multi-task-graphattack-framework-2101.06855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphattacker-a-general-multi-task-graphattack-framework-2101.06855"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-graph-structure-learning-for-forecasting-multiple-time-series-2101.06861</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-graph-structure-learning-for-forecasting-multiple-time-series-2101.06861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-graph-structure-learning-for-forecasting-multiple-time-series-2101.06861"/></url>
<url><loc>https://scifaro.com/en/abs/transferring-model-structure-in-bayesian-transfer-learning-for-gaussian-process-regression-2101.06884</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferring-model-structure-in-bayesian-transfer-learning-for-gaussian-process-regression-2101.06884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferring-model-structure-in-bayesian-transfer-learning-for-gaussian-process-regression-2101.06884"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-moving-blockage-prediction-using-real-millimeter-wave-measurements-2101.06886</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-moving-blockage-prediction-using-real-millimeter-wave-measurements-2101.06886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-moving-blockage-prediction-using-real-millimeter-wave-measurements-2101.06886"/></url>
<url><loc>https://scifaro.com/en/abs/cooperative-and-competitive-biases-for-multi-agent-reinforcement-learning-2101.06890</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cooperative-and-competitive-biases-for-multi-agent-reinforcement-learning-2101.06890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cooperative-and-competitive-biases-for-multi-agent-reinforcement-learning-2101.06890"/></url>
<url><loc>https://scifaro.com/en/abs/multi-source-data-fusion-for-cyberattack-detection-in-power-systems-2101.06897</loc><lastmod>2022-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-source-data-fusion-for-cyberattack-detection-in-power-systems-2101.06897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-source-data-fusion-for-cyberattack-detection-in-power-systems-2101.06897"/></url>
<url><loc>https://scifaro.com/en/abs/blockchain-assisted-decentralized-federated-learning-blade-fl-performance-analysis-and-resource-allocation-2101.06905</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blockchain-assisted-decentralized-federated-learning-blade-fl-performance-analysis-and-resource-allocation-2101.06905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blockchain-assisted-decentralized-federated-learning-blade-fl-performance-analysis-and-resource-allocation-2101.06905"/></url>
<url><loc>https://scifaro.com/en/abs/stable-deep-reinforcement-learning-method-by-predicting-uncertainty-in-rewards-as-a-subtask-2101.06906</loc><lastmod>2023-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-deep-reinforcement-learning-method-by-predicting-uncertainty-in-rewards-as-a-subtask-2101.06906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-deep-reinforcement-learning-method-by-predicting-uncertainty-in-rewards-as-a-subtask-2101.06906"/></url>
<url><loc>https://scifaro.com/en/abs/detection-of-insider-attacks-in-distributed-projected-subgradient-algorithms-2101.06917</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-of-insider-attacks-in-distributed-projected-subgradient-algorithms-2101.06917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-of-insider-attacks-in-distributed-projected-subgradient-algorithms-2101.06917"/></url>
<url><loc>https://scifaro.com/en/abs/generative-counterfactuals-for-neural-networks-via-attribute-informed-perturbation-2101.06930</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-counterfactuals-for-neural-networks-via-attribute-informed-perturbation-2101.06930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-counterfactuals-for-neural-networks-via-attribute-informed-perturbation-2101.06930"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dnn-networks-using-un-rectifying-relu-with-compressed-sensing-application-2101.06940</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dnn-networks-using-un-rectifying-relu-with-compressed-sensing-application-2101.06940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dnn-networks-using-un-rectifying-relu-with-compressed-sensing-application-2101.06940"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-heterogeneous-relations-across-multiple-modes-for-potential-crowd-flow-prediction-2101.06954</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-heterogeneous-relations-across-multiple-modes-for-potential-crowd-flow-prediction-2101.06954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-heterogeneous-relations-across-multiple-modes-for-potential-crowd-flow-prediction-2101.06954"/></url>
<url><loc>https://scifaro.com/en/abs/screening-for-sparse-online-learning-2101.06982</loc><lastmod>2022-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/screening-for-sparse-online-learning-2101.06982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/screening-for-sparse-online-learning-2101.06982"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-deep-contrastive-learning-batch-size-under-memory-limited-setup-2101.06983</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-deep-contrastive-learning-batch-size-under-memory-limited-setup-2101.06983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-deep-contrastive-learning-batch-size-under-memory-limited-setup-2101.06983"/></url>
<url><loc>https://scifaro.com/en/abs/deep-compression-of-neural-networks-for-fault-detection-on-tennessee-eastman-chemical-processes-2101.06993</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-compression-of-neural-networks-for-fault-detection-on-tennessee-eastman-chemical-processes-2101.06993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-compression-of-neural-networks-for-fault-detection-on-tennessee-eastman-chemical-processes-2101.06993"/></url>
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<url><loc>https://scifaro.com/en/abs/analysis-of-key-flavors-of-event-driven-predictive-maintenance-using-logs-of-phenomena-described-by-weibull-distributions-2101.07033</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-key-flavors-of-event-driven-predictive-maintenance-using-logs-of-phenomena-described-by-weibull-distributions-2101.07033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-key-flavors-of-event-driven-predictive-maintenance-using-logs-of-phenomena-described-by-weibull-distributions-2101.07033"/></url>
<url><loc>https://scifaro.com/en/abs/mind-the-gap-when-conditioning-amortised-inference-in-sequential-latent-variable-models-2101.07046</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mind-the-gap-when-conditioning-amortised-inference-in-sequential-latent-variable-models-2101.07046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mind-the-gap-when-conditioning-amortised-inference-in-sequential-latent-variable-models-2101.07046"/></url>
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<url><loc>https://scifaro.com/en/abs/emotional-eeg-classification-using-connectivity-features-and-convolutional-neural-networks-2101.07069</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emotional-eeg-classification-using-connectivity-features-and-convolutional-neural-networks-2101.07069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emotional-eeg-classification-using-connectivity-features-and-convolutional-neural-networks-2101.07069"/></url>
<url><loc>https://scifaro.com/en/abs/yet-another-representation-of-binary-decision-trees-a-mathematical-demonstration-2101.07077</loc><lastmod>2024-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/yet-another-representation-of-binary-decision-trees-a-mathematical-demonstration-2101.07077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/yet-another-representation-of-binary-decision-trees-a-mathematical-demonstration-2101.07077"/></url>
<url><loc>https://scifaro.com/en/abs/online-detection-of-failures-generated-by-storage-simulator-2101.07100</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-detection-of-failures-generated-by-storage-simulator-2101.07100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-detection-of-failures-generated-by-storage-simulator-2101.07100"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-successor-states-and-goal-dependent-values-a-mathematical-viewpoint-2101.07123</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-successor-states-and-goal-dependent-values-a-mathematical-viewpoint-2101.07123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-successor-states-and-goal-dependent-values-a-mathematical-viewpoint-2101.07123"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-geometric-proof-for-the-benefit-of-depth-in-relu-networks-2101.07126</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-geometric-proof-for-the-benefit-of-depth-in-relu-networks-2101.07126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-geometric-proof-for-the-benefit-of-depth-in-relu-networks-2101.07126"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-fnirs-data-under-uncertainty-a-bayesian-neural-network-approach-2101.07128</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-fnirs-data-under-uncertainty-a-bayesian-neural-network-approach-2101.07128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-fnirs-data-under-uncertainty-a-bayesian-neural-network-approach-2101.07128"/></url>
<url><loc>https://scifaro.com/en/abs/natural-language-specification-of-reinforcement-learning-policies-through-differentiable-decision-trees-2101.07140</loc><lastmod>2023-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-language-specification-of-reinforcement-learning-policies-through-differentiable-decision-trees-2101.07140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-language-specification-of-reinforcement-learning-policies-through-differentiable-decision-trees-2101.07140"/></url>
<url><loc>https://scifaro.com/en/abs/stable-recovery-of-entangled-weights-towards-robust-identification-of-deep-neural-networks-from-minimal-samples-2101.07150</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-recovery-of-entangled-weights-towards-robust-identification-of-deep-neural-networks-from-minimal-samples-2101.07150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-recovery-of-entangled-weights-towards-robust-identification-of-deep-neural-networks-from-minimal-samples-2101.07150"/></url>
<url><loc>https://scifaro.com/en/abs/challenges-in-the-application-of-a-mortality-prediction-model-for-covid-19-patients-on-an-indian-cohort-2101.07215</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-in-the-application-of-a-mortality-prediction-model-for-covid-19-patients-on-an-indian-cohort-2101.07215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-in-the-application-of-a-mortality-prediction-model-for-covid-19-patients-on-an-indian-cohort-2101.07215"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-variational-autoencoders-for-semi-supervised-learning-in-defense-of-product-of-experts-2101.07240</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-variational-autoencoders-for-semi-supervised-learning-in-defense-of-product-of-experts-2101.07240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-variational-autoencoders-for-semi-supervised-learning-in-defense-of-product-of-experts-2101.07240"/></url>
<url><loc>https://scifaro.com/en/abs/alignment-and-stability-of-embeddings-measurement-and-inference-improvement-2101.07251</loc><lastmod>2021-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alignment-and-stability-of-embeddings-measurement-and-inference-improvement-2101.07251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alignment-and-stability-of-embeddings-measurement-and-inference-improvement-2101.07251"/></url>
<url><loc>https://scifaro.com/en/abs/guided-parallelized-stochastic-gradient-descent-for-delay-compensation-2101.07259</loc><lastmod>2024-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guided-parallelized-stochastic-gradient-descent-for-delay-compensation-2101.07259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guided-parallelized-stochastic-gradient-descent-for-delay-compensation-2101.07259"/></url>
<url><loc>https://scifaro.com/en/abs/the-surprising-positive-knowledge-transfer-in-continual-3d-object-shape-reconstruction-2101.07295</loc><lastmod>2022-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-surprising-positive-knowledge-transfer-in-continual-3d-object-shape-reconstruction-2101.07295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-surprising-positive-knowledge-transfer-in-continual-3d-object-shape-reconstruction-2101.07295"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-perturbation-based-saliency-maps-for-explaining-atari-agents-2101.07312</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-perturbation-based-saliency-maps-for-explaining-atari-agents-2101.07312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-perturbation-based-saliency-maps-for-explaining-atari-agents-2101.07312"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-deep-learning-inference-via-learned-caches-2101.07344</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-deep-learning-inference-via-learned-caches-2101.07344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-deep-learning-inference-via-learned-caches-2101.07344"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-imputation-of-non-ignorably-missing-data-using-importance-weighted-autoencoders-2101.07357</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-imputation-of-non-ignorably-missing-data-using-importance-weighted-autoencoders-2101.07357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-imputation-of-non-ignorably-missing-data-using-importance-weighted-autoencoders-2101.07357"/></url>
<url><loc>https://scifaro.com/en/abs/through-the-data-management-lens-experimental-analysis-and-evaluation-of-fair-classification-2101.07361</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/through-the-data-management-lens-experimental-analysis-and-evaluation-of-fair-classification-2101.07361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/through-the-data-management-lens-experimental-analysis-and-evaluation-of-fair-classification-2101.07361"/></url>
<url><loc>https://scifaro.com/en/abs/training-learned-optimizers-with-randomly-initialized-learned-optimizers-2101.07367</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-learned-optimizers-with-randomly-initialized-learned-optimizers-2101.07367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-learned-optimizers-with-randomly-initialized-learned-optimizers-2101.07367"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-optimizes-graphene-nanopores-for-efficient-desalination-2101.07399</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-optimizes-graphene-nanopores-for-efficient-desalination-2101.07399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-optimizes-graphene-nanopores-for-efficient-desalination-2101.07399"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-privacy-budget-allocation-improves-data-efficiency-of-differentially-private-gradient-descent-2101.07413</loc><lastmod>2022-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-privacy-budget-allocation-improves-data-efficiency-of-differentially-private-gradient-descent-2101.07413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-privacy-budget-allocation-improves-data-efficiency-of-differentially-private-gradient-descent-2101.07413"/></url>
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<url><loc>https://scifaro.com/en/abs/dynamic-planning-of-bicycle-stations-in-dockless-public-bicycle-sharing-system-using-gated-graph-neural-network-2101.07425</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-planning-of-bicycle-stations-in-dockless-public-bicycle-sharing-system-using-gated-graph-neural-network-2101.07425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-planning-of-bicycle-stations-in-dockless-public-bicycle-sharing-system-using-gated-graph-neural-network-2101.07425"/></url>
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<url><loc>https://scifaro.com/en/abs/disentangled-recurrent-wasserstein-autoencoder-2101.07496</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-recurrent-wasserstein-autoencoder-2101.07496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-recurrent-wasserstein-autoencoder-2101.07496"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-federated-learning-for-healthcare-multi-modal-covid-19-diagnosis-at-the-edge-2101.07511</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-federated-learning-for-healthcare-multi-modal-covid-19-diagnosis-at-the-edge-2101.07511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-federated-learning-for-healthcare-multi-modal-covid-19-diagnosis-at-the-edge-2101.07511"/></url>
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<url><loc>https://scifaro.com/en/abs/momentum-2-teacher-momentum-teacher-with-momentum-statistics-for-self-supervised-learning-2101.07525</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/momentum-2-teacher-momentum-teacher-with-momentum-statistics-for-self-supervised-learning-2101.07525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/momentum-2-teacher-momentum-teacher-with-momentum-statistics-for-self-supervised-learning-2101.07525"/></url>
<url><loc>https://scifaro.com/en/abs/learnable-embedding-sizes-for-recommender-systems-2101.07577</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learnable-embedding-sizes-for-recommender-systems-2101.07577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learnable-embedding-sizes-for-recommender-systems-2101.07577"/></url>
<url><loc>https://scifaro.com/en/abs/continual-deterioration-prediction-for-hospitalized-covid-19-patients-2101.07581</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-deterioration-prediction-for-hospitalized-covid-19-patients-2101.07581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-deterioration-prediction-for-hospitalized-covid-19-patients-2101.07581"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-models-for-granger-causality-using-self-explaining-neural-networks-2101.07600</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-models-for-granger-causality-using-self-explaining-neural-networks-2101.07600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-models-for-granger-causality-using-self-explaining-neural-networks-2101.07600"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-bayesian-optimization-with-deep-kernel-surrogates-2101.07667</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-bayesian-optimization-with-deep-kernel-surrogates-2101.07667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-bayesian-optimization-with-deep-kernel-surrogates-2101.07667"/></url>
<url><loc>https://scifaro.com/en/abs/edge-featured-graph-attention-network-2101.07671</loc><lastmod>2021-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edge-featured-graph-attention-network-2101.07671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edge-featured-graph-attention-network-2101.07671"/></url>
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<url><loc>https://scifaro.com/en/abs/machine-learning-applications-for-covid-19-a-state-of-the-art-review-2101.07824</loc><lastmod>2021-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-applications-for-covid-19-a-state-of-the-art-review-2101.07824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-applications-for-covid-19-a-state-of-the-art-review-2101.07824"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-bias-of-linear-rnns-2101.07833</loc><lastmod>2021-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-bias-of-linear-rnns-2101.07833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-bias-of-linear-rnns-2101.07833"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-optimization-for-wind-farm-control-using-coordination-graphs-2101.07844</loc><lastmod>2021-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-optimization-for-wind-farm-control-using-coordination-graphs-2101.07844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-optimization-for-wind-farm-control-using-coordination-graphs-2101.07844"/></url>
<url><loc>https://scifaro.com/en/abs/learning-abstract-task-representations-2101.07852</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-abstract-task-representations-2101.07852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-abstract-task-representations-2101.07852"/></url>
<url><loc>https://scifaro.com/en/abs/semulator-emulating-the-dynamics-of-crossbar-array-based-analog-neural-system-with-regression-neural-networks-2101.07864</loc><lastmod>2021-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semulator-emulating-the-dynamics-of-crossbar-array-based-analog-neural-system-with-regression-neural-networks-2101.07864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semulator-emulating-the-dynamics-of-crossbar-array-based-analog-neural-system-with-regression-neural-networks-2101.07864"/></url>
<url><loc>https://scifaro.com/en/abs/illuminating-the-space-of-beatable-lode-runner-levels-produced-by-various-generative-adversarial-networks-2101.07868</loc><lastmod>2021-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/illuminating-the-space-of-beatable-lode-runner-levels-produced-by-various-generative-adversarial-networks-2101.07868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/illuminating-the-space-of-beatable-lode-runner-levels-produced-by-various-generative-adversarial-networks-2101.07868"/></url>
<url><loc>https://scifaro.com/en/abs/intelligent-icing-detection-model-of-wind-turbine-blades-based-on-scada-data-2101.07914</loc><lastmod>2025-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intelligent-icing-detection-model-of-wind-turbine-blades-based-on-scada-data-2101.07914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intelligent-icing-detection-model-of-wind-turbine-blades-based-on-scada-data-2101.07914"/></url>
<url><loc>https://scifaro.com/en/abs/noise-learning-based-denoising-autoencoder-2101.07937</loc><lastmod>2022-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-learning-based-denoising-autoencoder-2101.07937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-learning-based-denoising-autoencoder-2101.07937"/></url>
<url><loc>https://scifaro.com/en/abs/sparsednn-fast-sparse-deep-learning-inference-on-cpus-2101.07948</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsednn-fast-sparse-deep-learning-inference-on-cpus-2101.07948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsednn-fast-sparse-deep-learning-inference-on-cpus-2101.07948"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-conditional-neural-processes-for-local-climate-downscaling-2101.07950</loc><lastmod>2021-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-conditional-neural-processes-for-local-climate-downscaling-2101.07950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-conditional-neural-processes-for-local-climate-downscaling-2101.07950"/></url>
<url><loc>https://scifaro.com/en/abs/pytorch-direct-enabling-gpu-centric-data-access-for-very-large-graph-neural-network-training-with-irregular-accesses-2101.07956</loc><lastmod>2021-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pytorch-direct-enabling-gpu-centric-data-access-for-very-large-graph-neural-network-training-with-irregular-accesses-2101.07956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pytorch-direct-enabling-gpu-centric-data-access-for-very-large-graph-neural-network-training-with-irregular-accesses-2101.07956"/></url>
<url><loc>https://scifaro.com/en/abs/directed-acyclic-graph-neural-networks-2101.07965</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directed-acyclic-graph-neural-networks-2101.07965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directed-acyclic-graph-neural-networks-2101.07965"/></url>
<url><loc>https://scifaro.com/en/abs/representation-evaluation-block-based-teacher-student-network-for-the-industrial-quality-relevant-performance-modeling-and-monitoring-2101.07976</loc><lastmod>2021-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-evaluation-block-based-teacher-student-network-for-the-industrial-quality-relevant-performance-modeling-and-monitoring-2101.07976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-evaluation-block-based-teacher-student-network-for-the-industrial-quality-relevant-performance-modeling-and-monitoring-2101.07976"/></url>
<url><loc>https://scifaro.com/en/abs/updet-universal-multi-agent-reinforcement-learning-via-policy-decoupling-with-transformers-2101.08001</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/updet-universal-multi-agent-reinforcement-learning-via-policy-decoupling-with-transformers-2101.08001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/updet-universal-multi-agent-reinforcement-learning-via-policy-decoupling-with-transformers-2101.08001"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-intelligent-demand-response-and-smart-grids-a-comprehensive-survey-2101.08013</loc><lastmod>2021-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-intelligent-demand-response-and-smart-grids-a-comprehensive-survey-2101.08013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-intelligent-demand-response-and-smart-grids-a-comprehensive-survey-2101.08013"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-manifold-optimization-for-discriminant-subspace-learning-2101.08032</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-manifold-optimization-for-discriminant-subspace-learning-2101.08032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-manifold-optimization-for-discriminant-subspace-learning-2101.08032"/></url>
<url><loc>https://scifaro.com/en/abs/a-similarity-measure-of-gaussian-process-predictive-distributions-2101.08061</loc><lastmod>2021-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-similarity-measure-of-gaussian-process-predictive-distributions-2101.08061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-similarity-measure-of-gaussian-process-predictive-distributions-2101.08061"/></url>
<url><loc>https://scifaro.com/en/abs/component-tree-loss-function-definition-and-optimization-2101.08063</loc><lastmod>2021-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/component-tree-loss-function-definition-and-optimization-2101.08063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/component-tree-loss-function-definition-and-optimization-2101.08063"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-weisfeiler-lehman-graph-kernel-2101.08104</loc><lastmod>2021-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-weisfeiler-lehman-graph-kernel-2101.08104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-weisfeiler-lehman-graph-kernel-2101.08104"/></url>
<url><loc>https://scifaro.com/en/abs/zero-cost-proxies-for-lightweight-nas-2101.08134</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-cost-proxies-for-lightweight-nas-2101.08134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-cost-proxies-for-lightweight-nas-2101.08134"/></url>
<url><loc>https://scifaro.com/en/abs/rank-the-episodes-a-simple-approach-for-exploration-in-procedurally-generated-environments-2101.08152</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-the-episodes-a-simple-approach-for-exploration-in-procedurally-generated-environments-2101.08152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-the-episodes-a-simple-approach-for-exploration-in-procedurally-generated-environments-2101.08152"/></url>
<url><loc>https://scifaro.com/en/abs/sugar-subgraph-neural-network-with-reinforcement-pooling-and-self-supervised-mutual-information-mechanism-2101.08170</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sugar-subgraph-neural-network-with-reinforcement-pooling-and-self-supervised-mutual-information-mechanism-2101.08170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sugar-subgraph-neural-network-with-reinforcement-pooling-and-self-supervised-mutual-information-mechanism-2101.08170"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-solar-power-forecasting-long-short-term-memory-network-vs-simpler-approaches-2101.08236</loc><lastmod>2021-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-solar-power-forecasting-long-short-term-memory-network-vs-simpler-approaches-2101.08236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-solar-power-forecasting-long-short-term-memory-network-vs-simpler-approaches-2101.08236"/></url>
<url><loc>https://scifaro.com/en/abs/can-stable-and-accurate-neural-networks-be-computed-on-the-barriers-of-deep-learning-and-smale-s-18th-problem-2101.08286</loc><lastmod>2022-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-stable-and-accurate-neural-networks-be-computed-on-the-barriers-of-deep-learning-and-smale-s-18th-problem-2101.08286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-stable-and-accurate-neural-networks-be-computed-on-the-barriers-of-deep-learning-and-smale-s-18th-problem-2101.08286"/></url>
<url><loc>https://scifaro.com/en/abs/from-local-pseudorandom-generators-to-hardness-of-learning-2101.08303</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-local-pseudorandom-generators-to-hardness-of-learning-2101.08303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-local-pseudorandom-generators-to-hardness-of-learning-2101.08303"/></url>
<url><loc>https://scifaro.com/en/abs/non-convex-compressed-sensing-with-training-data-2101.08310</loc><lastmod>2021-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-convex-compressed-sensing-with-training-data-2101.08310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-convex-compressed-sensing-with-training-data-2101.08310"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-manifold-based-regularized-multi-modal-graph-convolutional-network-for-cognitive-ability-prediction-2101.08316</loc><lastmod>2024-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-manifold-based-regularized-multi-modal-graph-convolutional-network-for-cognitive-ability-prediction-2101.08316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-manifold-based-regularized-multi-modal-graph-convolutional-network-for-cognitive-ability-prediction-2101.08316"/></url>
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<url><loc>https://scifaro.com/en/abs/marius-learning-massive-graph-embeddings-on-a-single-machine-2101.08358</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marius-learning-massive-graph-embeddings-on-a-single-machine-2101.08358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marius-learning-massive-graph-embeddings-on-a-single-machine-2101.08358"/></url>
<url><loc>https://scifaro.com/en/abs/quadratic-residual-networks-a-new-class-of-neural-networks-for-solving-forward-and-inverse-problems-in-physics-involving-pdes-2101.08366</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quadratic-residual-networks-a-new-class-of-neural-networks-for-solving-forward-and-inverse-problems-in-physics-involving-pdes-2101.08366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quadratic-residual-networks-a-new-class-of-neural-networks-for-solving-forward-and-inverse-problems-in-physics-involving-pdes-2101.08366"/></url>
<url><loc>https://scifaro.com/en/abs/better-short-than-greedy-interpretable-models-through-optimal-rule-boosting-2101.08380</loc><lastmod>2021-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-short-than-greedy-interpretable-models-through-optimal-rule-boosting-2101.08380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-short-than-greedy-interpretable-models-through-optimal-rule-boosting-2101.08380"/></url>
<url><loc>https://scifaro.com/en/abs/invariance-encodings-and-generalization-learning-identity-effects-with-neural-networks-2101.08386</loc><lastmod>2022-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariance-encodings-and-generalization-learning-identity-effects-with-neural-networks-2101.08386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariance-encodings-and-generalization-learning-identity-effects-with-neural-networks-2101.08386"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-ensemble-learning-under-the-era-of-deep-learning-2101.08387</loc><lastmod>2022-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-ensemble-learning-under-the-era-of-deep-learning-2101.08387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-ensemble-learning-under-the-era-of-deep-learning-2101.08387"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-theoretic-analysis-of-the-impact-of-task-similarity-on-meta-learning-2101.08390</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-theoretic-analysis-of-the-impact-of-task-similarity-on-meta-learning-2101.08390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-theoretic-analysis-of-the-impact-of-task-similarity-on-meta-learning-2101.08390"/></url>
<url><loc>https://scifaro.com/en/abs/distilling-interpretable-models-into-human-readable-code-2101.08393</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilling-interpretable-models-into-human-readable-code-2101.08393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilling-interpretable-models-into-human-readable-code-2101.08393"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-information-flow-through-u-nets-2101.08427</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-information-flow-through-u-nets-2101.08427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-information-flow-through-u-nets-2101.08427"/></url>
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<url><loc>https://scifaro.com/en/abs/unifying-cardiovascular-modelling-with-deep-reinforcement-learning-for-uncertainty-aware-control-of-sepsis-treatment-2101.08477</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-cardiovascular-modelling-with-deep-reinforcement-learning-for-uncertainty-aware-control-of-sepsis-treatment-2101.08477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-cardiovascular-modelling-with-deep-reinforcement-learning-for-uncertainty-aware-control-of-sepsis-treatment-2101.08477"/></url>
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<url><loc>https://scifaro.com/en/abs/differential-euler-designing-a-neural-network-approximator-to-solve-the-chaotic-three-body-problem-2101.08486</loc><lastmod>2021-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-euler-designing-a-neural-network-approximator-to-solve-the-chaotic-three-body-problem-2101.08486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-euler-designing-a-neural-network-approximator-to-solve-the-chaotic-three-body-problem-2101.08486"/></url>
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<url><loc>https://scifaro.com/en/abs/characterizing-signal-propagation-to-close-the-performance-gap-in-unnormalized-resnets-2101.08692</loc><lastmod>2021-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-signal-propagation-to-close-the-performance-gap-in-unnormalized-resnets-2101.08692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-signal-propagation-to-close-the-performance-gap-in-unnormalized-resnets-2101.08692"/></url>
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<url><loc>https://scifaro.com/en/abs/soft-genetic-programming-binary-classifiers-2101.08742</loc><lastmod>2021-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-genetic-programming-binary-classifiers-2101.08742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-genetic-programming-binary-classifiers-2101.08742"/></url>
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<url><loc>https://scifaro.com/en/abs/time-correlated-sparsification-for-communication-efficient-federated-learning-2101.08837</loc><lastmod>2021-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-correlated-sparsification-for-communication-efficient-federated-learning-2101.08837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-correlated-sparsification-for-communication-efficient-federated-learning-2101.08837"/></url>
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<url><loc>https://scifaro.com/en/abs/a-systematic-literature-review-on-state-of-the-art-deep-learning-methods-for-process-prediction-2101.09320</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-systematic-literature-review-on-state-of-the-art-deep-learning-methods-for-process-prediction-2101.09320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-systematic-literature-review-on-state-of-the-art-deep-learning-methods-for-process-prediction-2101.09320"/></url>
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<url><loc>https://scifaro.com/en/abs/a-comprehensive-survey-on-hardware-aware-neural-architecture-search-2101.09336</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comprehensive-survey-on-hardware-aware-neural-architecture-search-2101.09336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comprehensive-survey-on-hardware-aware-neural-architecture-search-2101.09336"/></url>
<url><loc>https://scifaro.com/en/abs/online-adversarial-purification-based-on-self-supervision-2101.09387</loc><lastmod>2022-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-adversarial-purification-based-on-self-supervision-2101.09387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-adversarial-purification-based-on-self-supervision-2101.09387"/></url>
<url><loc>https://scifaro.com/en/abs/vertical-federated-learning-based-on-dfp-and-bfgs-2101.09428</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vertical-federated-learning-based-on-dfp-and-bfgs-2101.09428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vertical-federated-learning-based-on-dfp-and-bfgs-2101.09428"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-variational-auto-encoding-for-unsupervised-domain-generalization-2101.09436</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-variational-auto-encoding-for-unsupervised-domain-generalization-2101.09436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-variational-auto-encoding-for-unsupervised-domain-generalization-2101.09436"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimal-reduction-of-tv-denoising-to-adaptive-online-learning-2101.09438</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimal-reduction-of-tv-denoising-to-adaptive-online-learning-2101.09438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimal-reduction-of-tv-denoising-to-adaptive-online-learning-2101.09438"/></url>
<url><loc>https://scifaro.com/en/abs/unlabeled-principal-component-analysis-and-matrix-completion-2101.09446</loc><lastmod>2023-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unlabeled-principal-component-analysis-and-matrix-completion-2101.09446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unlabeled-principal-component-analysis-and-matrix-completion-2101.09446"/></url>
<url><loc>https://scifaro.com/en/abs/improved-training-of-sparse-coding-variational-autoencoder-via-weight-normalization-2101.09453</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-training-of-sparse-coding-variational-autoencoder-via-weight-normalization-2101.09453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-training-of-sparse-coding-variational-autoencoder-via-weight-normalization-2101.09453"/></url>
<url><loc>https://scifaro.com/en/abs/decoupled-exploration-and-exploitation-policies-for-sample-efficient-reinforcement-learning-2101.09458</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupled-exploration-and-exploitation-policies-for-sample-efficient-reinforcement-learning-2101.09458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupled-exploration-and-exploitation-policies-for-sample-efficient-reinforcement-learning-2101.09458"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-using-reinforcement-learning-2101.09460</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-using-reinforcement-learning-2101.09460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-using-reinforcement-learning-2101.09460"/></url>
<url><loc>https://scifaro.com/en/abs/neural-relational-inference-with-efficient-message-passing-mechanisms-2101.09486</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-relational-inference-with-efficient-message-passing-mechanisms-2101.09486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-relational-inference-with-efficient-message-passing-mechanisms-2101.09486"/></url>
<url><loc>https://scifaro.com/en/abs/minconvnets-a-new-class-of-multiplication-less-neural-networks-2101.09492</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minconvnets-a-new-class-of-multiplication-less-neural-networks-2101.09492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minconvnets-a-new-class-of-multiplication-less-neural-networks-2101.09492"/></url>
<url><loc>https://scifaro.com/en/abs/show-or-suppress-managing-input-uncertainty-in-machine-learning-model-explanations-2101.09498</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/show-or-suppress-managing-input-uncertainty-in-machine-learning-model-explanations-2101.09498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/show-or-suppress-managing-input-uncertainty-in-machine-learning-model-explanations-2101.09498"/></url>
<url><loc>https://scifaro.com/en/abs/safe-learning-and-optimization-techniques-towards-a-survey-of-the-state-of-the-art-2101.09505</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-learning-and-optimization-techniques-towards-a-survey-of-the-state-of-the-art-2101.09505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-learning-and-optimization-techniques-towards-a-survey-of-the-state-of-the-art-2101.09505"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-daily-precipitation-forecasting-with-seasonally-integrated-autoencoder-2101.09509</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-daily-precipitation-forecasting-with-seasonally-integrated-autoencoder-2101.09509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-daily-precipitation-forecasting-with-seasonally-integrated-autoencoder-2101.09509"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-clustering-of-series-using-dynamic-programming-2101.09512</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-clustering-of-series-using-dynamic-programming-2101.09512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-clustering-of-series-using-dynamic-programming-2101.09512"/></url>
<url><loc>https://scifaro.com/en/abs/reliefe-feature-ranking-in-high-dimensional-spaces-via-manifold-embeddings-2101.09577</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliefe-feature-ranking-in-high-dimensional-spaces-via-manifold-embeddings-2101.09577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliefe-feature-ranking-in-high-dimensional-spaces-via-manifold-embeddings-2101.09577"/></url>
<url><loc>https://scifaro.com/en/abs/generating-a-doppelganger-graph-resembling-but-distinct-2101.09593</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-a-doppelganger-graph-resembling-but-distinct-2101.09593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-a-doppelganger-graph-resembling-but-distinct-2101.09593"/></url>
<url><loc>https://scifaro.com/en/abs/optimistic-and-adaptive-lagrangian-hedging-2101.09603</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimistic-and-adaptive-lagrangian-hedging-2101.09603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimistic-and-adaptive-lagrangian-hedging-2101.09603"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-proof-of-global-convergence-of-gradient-descent-for-deep-relu-networks-with-linear-widths-2101.09612</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-proof-of-global-convergence-of-gradient-descent-for-deep-relu-networks-with-linear-widths-2101.09612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-proof-of-global-convergence-of-gradient-descent-for-deep-relu-networks-with-linear-widths-2101.09612"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-time-series-forecasting-with-shared-attention-2101.09645</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-time-series-forecasting-with-shared-attention-2101.09645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-time-series-forecasting-with-shared-attention-2101.09645"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-expert-consistency-to-improve-algorithmic-decision-support-2101.09648</loc><lastmod>2024-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-expert-consistency-to-improve-algorithmic-decision-support-2101.09648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-expert-consistency-to-improve-algorithmic-decision-support-2101.09648"/></url>
<url><loc>https://scifaro.com/en/abs/gst-group-sparse-training-for-accelerating-deep-reinforcement-learning-2101.09650</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gst-group-sparse-training-for-accelerating-deep-reinforcement-learning-2101.09650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gst-group-sparse-training-for-accelerating-deep-reinforcement-learning-2101.09650"/></url>
<url><loc>https://scifaro.com/en/abs/learning-synthetic-environments-for-reinforcement-learning-with-evolution-strategies-2101.09721</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-synthetic-environments-for-reinforcement-learning-with-evolution-strategies-2101.09721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-synthetic-environments-for-reinforcement-learning-with-evolution-strategies-2101.09721"/></url>
<url><loc>https://scifaro.com/en/abs/analysing-the-noise-model-error-for-realistic-noisy-label-data-2101.09763</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysing-the-noise-model-error-for-realistic-noisy-label-data-2101.09763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysing-the-noise-model-error-for-realistic-noisy-label-data-2101.09763"/></url>
<url><loc>https://scifaro.com/en/abs/analytical-characterization-and-design-space-exploration-for-optimization-of-cnns-2101.09808</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analytical-characterization-and-design-space-exploration-for-optimization-of-cnns-2101.09808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analytical-characterization-and-design-space-exploration-for-optimization-of-cnns-2101.09808"/></url>
<url><loc>https://scifaro.com/en/abs/annealed-stein-variational-gradient-descent-2101.09815</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/annealed-stein-variational-gradient-descent-2101.09815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/annealed-stein-variational-gradient-descent-2101.09815"/></url>
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<url><loc>https://scifaro.com/en/abs/meta-regularization-by-enforcing-mutual-exclusiveness-2101.09819</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-regularization-by-enforcing-mutual-exclusiveness-2101.09819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-regularization-by-enforcing-mutual-exclusiveness-2101.09819"/></url>
<url><loc>https://scifaro.com/en/abs/improving-few-shot-learning-with-auxiliary-self-supervised-pretext-tasks-2101.09825</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-few-shot-learning-with-auxiliary-self-supervised-pretext-tasks-2101.09825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-few-shot-learning-with-auxiliary-self-supervised-pretext-tasks-2101.09825"/></url>
<url><loc>https://scifaro.com/en/abs/high-confidence-off-policy-or-counterfactual-variance-estimation-2101.09847</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-confidence-off-policy-or-counterfactual-variance-estimation-2101.09847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-confidence-off-policy-or-counterfactual-variance-estimation-2101.09847"/></url>
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<url><loc>https://scifaro.com/en/abs/cpt-efficient-deep-neural-network-training-via-cyclic-precision-2101.09868</loc><lastmod>2025-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cpt-efficient-deep-neural-network-training-via-cyclic-precision-2101.09868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cpt-efficient-deep-neural-network-training-via-cyclic-precision-2101.09868"/></url>
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<url><loc>https://scifaro.com/en/abs/generalizing-adversarial-examples-by-adabelief-optimizer-2101.09930</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-adversarial-examples-by-adabelief-optimizer-2101.09930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-adversarial-examples-by-adabelief-optimizer-2101.09930"/></url>
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<url><loc>https://scifaro.com/en/abs/approximating-probability-distributions-by-relu-networks-2101.09973</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-probability-distributions-by-relu-networks-2101.09973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-probability-distributions-by-relu-networks-2101.09973"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-joint-maximum-mean-discrepancy-for-domain-adaptation-2101.09979</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-joint-maximum-mean-discrepancy-for-domain-adaptation-2101.09979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-joint-maximum-mean-discrepancy-for-domain-adaptation-2101.09979"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-integration-learning-for-irregularly-sampled-clinical-time-series-2101.09986</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-integration-learning-for-irregularly-sampled-clinical-time-series-2101.09986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-integration-learning-for-irregularly-sampled-clinical-time-series-2101.09986"/></url>
<url><loc>https://scifaro.com/en/abs/diverse-adversaries-for-mitigating-bias-in-training-2101.10001</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diverse-adversaries-for-mitigating-bias-in-training-2101.10001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diverse-adversaries-for-mitigating-bias-in-training-2101.10001"/></url>
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<url><loc>https://scifaro.com/en/abs/addernet-and-its-minimalist-hardware-design-for-energy-efficient-artificial-intelligence-2101.10015</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addernet-and-its-minimalist-hardware-design-for-energy-efficient-artificial-intelligence-2101.10015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addernet-and-its-minimalist-hardware-design-for-energy-efficient-artificial-intelligence-2101.10015"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-graph-neural-networks-and-their-applications-in-power-systems-2101.10025</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-graph-neural-networks-and-their-applications-in-power-systems-2101.10025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-graph-neural-networks-and-their-applications-in-power-systems-2101.10025"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-achieving-efficient-robustness-with-adversarial-supervised-contrastive-learning-2101.10027</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-achieving-efficient-robustness-with-adversarial-supervised-contrastive-learning-2101.10027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-achieving-efficient-robustness-with-adversarial-supervised-contrastive-learning-2101.10027"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-convergence-for-iterative-learning-of-arima-for-stationary-time-series-2101.10037</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-convergence-for-iterative-learning-of-arima-for-stationary-time-series-2101.10037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-convergence-for-iterative-learning-of-arima-for-stationary-time-series-2101.10037"/></url>
<url><loc>https://scifaro.com/en/abs/deep-graph-convolutional-networks-for-wind-speed-prediction-2101.10041</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-graph-convolutional-networks-for-wind-speed-prediction-2101.10041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-graph-convolutional-networks-for-wind-speed-prediction-2101.10041"/></url>
<url><loc>https://scifaro.com/en/abs/learning-parametrised-graph-shift-operators-2101.10050</loc><lastmod>2022-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-parametrised-graph-shift-operators-2101.10050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-parametrised-graph-shift-operators-2101.10050"/></url>
<url><loc>https://scifaro.com/en/abs/towards-practical-robustness-analysis-for-dnns-based-on-pac-model-learning-2101.10102</loc><lastmod>2022-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-practical-robustness-analysis-for-dnns-based-on-pac-model-learning-2101.10102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-practical-robustness-analysis-for-dnns-based-on-pac-model-learning-2101.10102"/></url>
<url><loc>https://scifaro.com/en/abs/a-fusion-method-for-multi-valued-data-2101.10115</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fusion-method-for-multi-valued-data-2101.10115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fusion-method-for-multi-valued-data-2101.10115"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-generative-models-for-counterfactual-explanations-2101.10123</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-generative-models-for-counterfactual-explanations-2101.10123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-generative-models-for-counterfactual-explanations-2101.10123"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-learning-of-poisson-factorisation-model-for-gauging-brand-sentiment-in-user-reviews-2101.10150</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-learning-of-poisson-factorisation-model-for-gauging-brand-sentiment-in-user-reviews-2101.10150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-learning-of-poisson-factorisation-model-for-gauging-brand-sentiment-in-user-reviews-2101.10150"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-dependence-with-matrix-based-entropy-functional-2101.10160</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-dependence-with-matrix-based-entropy-functional-2101.10160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-dependence-with-matrix-based-entropy-functional-2101.10160"/></url>
<url><loc>https://scifaro.com/en/abs/universal-approximation-properties-for-an-odenet-and-a-resnet-mathematical-analysis-and-numerical-experiments-2101.10229</loc><lastmod>2023-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-approximation-properties-for-an-odenet-and-a-resnet-mathematical-analysis-and-numerical-experiments-2101.10229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-approximation-properties-for-an-odenet-and-a-resnet-mathematical-analysis-and-numerical-experiments-2101.10229"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-expert-guidance-in-epidemic-forecasting-2101.10247</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-expert-guidance-in-epidemic-forecasting-2101.10247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-expert-guidance-in-epidemic-forecasting-2101.10247"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-the-impact-does-an-improvement-to-a-revenue-management-system-lead-to-an-improved-revenue-2101.10249</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-the-impact-does-an-improvement-to-a-revenue-management-system-lead-to-an-improved-revenue-2101.10249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-the-impact-does-an-improvement-to-a-revenue-management-system-lead-to-an-improved-revenue-2101.10249"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-approach-for-automatic-modulation-and-wireless-signal-classification-2101.10254</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-approach-for-automatic-modulation-and-wireless-signal-classification-2101.10254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-approach-for-automatic-modulation-and-wireless-signal-classification-2101.10254"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-choice-analysis-with-machine-learning-capabilities-2101.10261</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-choice-analysis-with-machine-learning-capabilities-2101.10261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-choice-analysis-with-machine-learning-capabilities-2101.10261"/></url>
<url><loc>https://scifaro.com/en/abs/generative-autoencoder-kernels-on-deep-learning-for-brain-activity-analysis-2101.10263</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-autoencoder-kernels-on-deep-learning-for-brain-activity-analysis-2101.10263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-autoencoder-kernels-on-deep-learning-for-brain-activity-analysis-2101.10263"/></url>
<url><loc>https://scifaro.com/en/abs/superiorities-of-deep-extreme-learning-machines-against-convolutional-neural-networks-2101.10265</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/superiorities-of-deep-extreme-learning-machines-against-convolutional-neural-networks-2101.10265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/superiorities-of-deep-extreme-learning-machines-against-convolutional-neural-networks-2101.10265"/></url>
<url><loc>https://scifaro.com/en/abs/covid-19-outbreak-prediction-and-analysis-using-self-reported-symptoms-2101.10266</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covid-19-outbreak-prediction-and-analysis-using-self-reported-symptoms-2101.10266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covid-19-outbreak-prediction-and-analysis-using-self-reported-symptoms-2101.10266"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-interval-based-aggregation-approach-based-on-bagging-and-interval-agreement-approach-iaa-in-ensemble-learning-2101.10267</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-interval-based-aggregation-approach-based-on-bagging-and-interval-agreement-approach-iaa-in-ensemble-learning-2101.10267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-interval-based-aggregation-approach-based-on-bagging-and-interval-agreement-approach-iaa-in-ensemble-learning-2101.10267"/></url>
<url><loc>https://scifaro.com/en/abs/a-scalable-approach-for-developing-clinical-risk-prediction-applications-in-different-hospitals-2101.10268</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scalable-approach-for-developing-clinical-risk-prediction-applications-in-different-hospitals-2101.10268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scalable-approach-for-developing-clinical-risk-prediction-applications-in-different-hospitals-2101.10268"/></url>
<url><loc>https://scifaro.com/en/abs/emergent-communication-under-competition-2101.10276</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emergent-communication-under-competition-2101.10276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emergent-communication-under-competition-2101.10276"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-linformer-with-a-modified-self-attention-with-linear-complexity-2101.10277</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-linformer-with-a-modified-self-attention-with-linear-complexity-2101.10277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-linformer-with-a-modified-self-attention-with-linear-complexity-2101.10277"/></url>
<url><loc>https://scifaro.com/en/abs/deep-epidemiological-modeling-by-black-box-knowledge-distillation-an-accurate-deep-learning-model-for-covid-19-2101.10280</loc><lastmod>2021-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-epidemiological-modeling-by-black-box-knowledge-distillation-an-accurate-deep-learning-model-for-covid-19-2101.10280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-epidemiological-modeling-by-black-box-knowledge-distillation-an-accurate-deep-learning-model-for-covid-19-2101.10280"/></url>
<url><loc>https://scifaro.com/en/abs/multi-time-attention-networks-for-irregularly-sampled-time-series-2101.10318</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-time-attention-networks-for-irregularly-sampled-time-series-2101.10318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-time-attention-networks-for-irregularly-sampled-time-series-2101.10318"/></url>
<url><loc>https://scifaro.com/en/abs/identity-aware-graph-neural-networks-2101.10320</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identity-aware-graph-neural-networks-2101.10320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identity-aware-graph-neural-networks-2101.10320"/></url>
<url><loc>https://scifaro.com/en/abs/curriculum-learning-a-survey-2101.10382</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curriculum-learning-a-survey-2101.10382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curriculum-learning-a-survey-2101.10382"/></url>
<url><loc>https://scifaro.com/en/abs/online-and-scalable-model-selection-with-multi-armed-bandits-2101.10385</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-and-scalable-model-selection-with-multi-armed-bandits-2101.10385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-and-scalable-model-selection-with-multi-armed-bandits-2101.10385"/></url>
<url><loc>https://scifaro.com/en/abs/introducing-a-central-african-primate-vocalisation-dataset-for-automated-species-classification-2101.10390</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introducing-a-central-african-primate-vocalisation-dataset-for-automated-species-classification-2101.10390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introducing-a-central-african-primate-vocalisation-dataset-for-automated-species-classification-2101.10390"/></url>
<url><loc>https://scifaro.com/en/abs/spectrum-attention-mechanism-for-time-series-classification-2101.10420</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectrum-attention-mechanism-for-time-series-classification-2101.10420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectrum-attention-mechanism-for-time-series-classification-2101.10420"/></url>
<url><loc>https://scifaro.com/en/abs/online-continual-learning-in-image-classification-an-empirical-survey-2101.10423</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-continual-learning-in-image-classification-an-empirical-survey-2101.10423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-continual-learning-in-image-classification-an-empirical-survey-2101.10423"/></url>
<url><loc>https://scifaro.com/en/abs/finding-hidden-feature-depending-laws-inside-a-data-set-and-classifying-it-using-neural-network-2101.10427</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-hidden-feature-depending-laws-inside-a-data-set-and-classifying-it-using-neural-network-2101.10427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-hidden-feature-depending-laws-inside-a-data-set-and-classifying-it-using-neural-network-2101.10427"/></url>
<url><loc>https://scifaro.com/en/abs/high-fidelity-prediction-of-megapixel-longitudinal-phase-space-images-of-electron-beams-using-encoder-decoder-neural-networks-2101.10437</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-fidelity-prediction-of-megapixel-longitudinal-phase-space-images-of-electron-beams-using-encoder-decoder-neural-networks-2101.10437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-fidelity-prediction-of-megapixel-longitudinal-phase-space-images-of-electron-beams-using-encoder-decoder-neural-networks-2101.10437"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-latent-auto-encoder-a-method-for-probabilistic-multivariate-time-series-forecasting-2101.10460</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-latent-auto-encoder-a-method-for-probabilistic-multivariate-time-series-forecasting-2101.10460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-latent-auto-encoder-a-method-for-probabilistic-multivariate-time-series-forecasting-2101.10460"/></url>
<url><loc>https://scifaro.com/en/abs/appliance-operation-modes-identification-using-cycles-clustering-2101.10472</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/appliance-operation-modes-identification-using-cycles-clustering-2101.10472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/appliance-operation-modes-identification-using-cycles-clustering-2101.10472"/></url>
<url><loc>https://scifaro.com/en/abs/model-agnostic-interpretation-by-visualization-of-feature-perturbations-2101.10502</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-agnostic-interpretation-by-visualization-of-feature-perturbations-2101.10502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-agnostic-interpretation-by-visualization-of-feature-perturbations-2101.10502"/></url>
<url><loc>https://scifaro.com/en/abs/finite-sample-analysis-of-two-time-scale-natural-actor-critic-algorithm-2101.10506</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-sample-analysis-of-two-time-scale-natural-actor-critic-algorithm-2101.10506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-sample-analysis-of-two-time-scale-natural-actor-critic-algorithm-2101.10506"/></url>
<url><loc>https://scifaro.com/en/abs/modern-machine-and-deep-learning-systems-as-a-way-to-achieve-man-computer-symbiosis-2101.10534</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modern-machine-and-deep-learning-systems-as-a-way-to-achieve-man-computer-symbiosis-2101.10534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modern-machine-and-deep-learning-systems-as-a-way-to-achieve-man-computer-symbiosis-2101.10534"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-paths-perspective-for-pruning-at-initialization-2101.10552</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-paths-perspective-for-pruning-at-initialization-2101.10552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-paths-perspective-for-pruning-at-initialization-2101.10552"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-combining-generative-adversarial-networks-and-mixture-density-networks-for-inverse-modeling-in-microstructural-materials-design-2101.10553</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-combining-generative-adversarial-networks-and-mixture-density-networks-for-inverse-modeling-in-microstructural-materials-design-2101.10553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-combining-generative-adversarial-networks-and-mixture-density-networks-for-inverse-modeling-in-microstructural-materials-design-2101.10553"/></url>
<url><loc>https://scifaro.com/en/abs/transparent-contribution-evaluation-for-secure-federated-learning-on-blockchain-2101.10572</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transparent-contribution-evaluation-for-secure-federated-learning-on-blockchain-2101.10572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transparent-contribution-evaluation-for-secure-federated-learning-on-blockchain-2101.10572"/></url>
<url><loc>https://scifaro.com/en/abs/hyper-optimization-with-gaussian-process-and-differential-evolution-algorithm-2101.10625</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyper-optimization-with-gaussian-process-and-differential-evolution-algorithm-2101.10625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyper-optimization-with-gaussian-process-and-differential-evolution-algorithm-2101.10625"/></url>
<url><loc>https://scifaro.com/en/abs/variational-information-bottleneck-model-for-accurate-indoor-position-recognition-2101.10655</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-information-bottleneck-model-for-accurate-indoor-position-recognition-2101.10655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-information-bottleneck-model-for-accurate-indoor-position-recognition-2101.10655"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-algorithm-for-complex-discord-searches-in-time-series-hot-sax-time-2101.10698</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-algorithm-for-complex-discord-searches-in-time-series-hot-sax-time-2101.10698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-algorithm-for-complex-discord-searches-in-time-series-hot-sax-time-2101.10698"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-statistical-based-gradient-compression-technique-for-distributed-training-systems-2101.10761</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-statistical-based-gradient-compression-technique-for-distributed-training-systems-2101.10761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-statistical-based-gradient-compression-technique-for-distributed-training-systems-2101.10761"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-invertible-architectures-on-inverse-problems-2101.10763</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-invertible-architectures-on-inverse-problems-2101.10763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-invertible-architectures-on-inverse-problems-2101.10763"/></url>
<url><loc>https://scifaro.com/en/abs/the-consequences-of-the-framing-of-machine-learning-risk-prediction-models-evaluation-of-sepsis-in-general-wards-2101.10790</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-consequences-of-the-framing-of-machine-learning-risk-prediction-models-evaluation-of-sepsis-in-general-wards-2101.10790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-consequences-of-the-framing-of-machine-learning-risk-prediction-models-evaluation-of-sepsis-in-general-wards-2101.10790"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-vulnerability-of-active-transfer-learning-2101.10792</loc><lastmod>2021-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-vulnerability-of-active-transfer-learning-2101.10792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-vulnerability-of-active-transfer-learning-2101.10792"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-search-space-construction-for-machine-learning-pipeline-synthesis-2101.10951</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-search-space-construction-for-machine-learning-pipeline-synthesis-2101.10951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-search-space-construction-for-machine-learning-pipeline-synthesis-2101.10951"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-input-perturbation-methods-for-interpreting-cnns-and-saliency-map-comparison-2101.10977</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-input-perturbation-methods-for-interpreting-cnns-and-saliency-map-comparison-2101.10977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-input-perturbation-methods-for-interpreting-cnns-and-saliency-map-comparison-2101.10977"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-clustering-of-series-using-dynamic-programming-and-neural-processes-2101.10983</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-clustering-of-series-using-dynamic-programming-and-neural-processes-2101.10983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-clustering-of-series-using-dynamic-programming-and-neural-processes-2101.10983"/></url>
<url><loc>https://scifaro.com/en/abs/sdf-bayes-cautious-optimism-in-safe-dose-finding-clinical-trials-with-drug-combinations-and-heterogeneous-patient-groups-2101.10998</loc><lastmod>2021-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sdf-bayes-cautious-optimism-in-safe-dose-finding-clinical-trials-with-drug-combinations-and-heterogeneous-patient-groups-2101.10998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sdf-bayes-cautious-optimism-in-safe-dose-finding-clinical-trials-with-drug-combinations-and-heterogeneous-patient-groups-2101.10998"/></url>
<url><loc>https://scifaro.com/en/abs/average-localised-proximity-a-new-data-descriptor-with-good-default-one-class-classification-performance-2101.11037</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/average-localised-proximity-a-new-data-descriptor-with-good-default-one-class-classification-performance-2101.11037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/average-localised-proximity-a-new-data-descriptor-with-good-default-one-class-classification-performance-2101.11037"/></url>
<url><loc>https://scifaro.com/en/abs/the-minerl-2020-competition-on-sample-efficient-reinforcement-learning-using-human-priors-2101.11071</loc><lastmod>2021-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-minerl-2020-competition-on-sample-efficient-reinforcement-learning-using-human-priors-2101.11071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-minerl-2020-competition-on-sample-efficient-reinforcement-learning-using-human-priors-2101.11071"/></url>
<url><loc>https://scifaro.com/en/abs/property-inference-from-poisoning-2101.11073</loc><lastmod>2021-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/property-inference-from-poisoning-2101.11073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/property-inference-from-poisoning-2101.11073"/></url>
<url><loc>https://scifaro.com/en/abs/adaptivity-without-compromise-a-momentumized-adaptive-dual-averaged-gradient-method-for-stochastic-optimization-2101.11075</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptivity-without-compromise-a-momentumized-adaptive-dual-averaged-gradient-method-for-stochastic-optimization-2101.11075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptivity-without-compromise-a-momentumized-adaptive-dual-averaged-gradient-method-for-stochastic-optimization-2101.11075"/></url>
<url><loc>https://scifaro.com/en/abs/pitfalls-of-assessing-extracted-hierarchies-for-multi-class-classification-2101.11095</loc><lastmod>2021-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pitfalls-of-assessing-extracted-hierarchies-for-multi-class-classification-2101.11095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pitfalls-of-assessing-extracted-hierarchies-for-multi-class-classification-2101.11095"/></url>
<url><loc>https://scifaro.com/en/abs/accuracy-and-privacy-evaluations-of-collaborative-data-analysis-2101.11144</loc><lastmod>2021-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accuracy-and-privacy-evaluations-of-collaborative-data-analysis-2101.11144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accuracy-and-privacy-evaluations-of-collaborative-data-analysis-2101.11144"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-network-for-traffic-forecasting-a-survey-2101.11174</loc><lastmod>2022-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-network-for-traffic-forecasting-a-survey-2101.11174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-network-for-traffic-forecasting-a-survey-2101.11174"/></url>
<url><loc>https://scifaro.com/en/abs/evolutionary-generative-adversarial-networks-with-crossover-based-knowledge-distillation-2101.11186</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolutionary-generative-adversarial-networks-with-crossover-based-knowledge-distillation-2101.11186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolutionary-generative-adversarial-networks-with-crossover-based-knowledge-distillation-2101.11186"/></url>
<url><loc>https://scifaro.com/en/abs/safe-multi-agent-reinforcement-learning-via-shielding-2101.11196</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-multi-agent-reinforcement-learning-via-shielding-2101.11196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-multi-agent-reinforcement-learning-via-shielding-2101.11196"/></url>
<url><loc>https://scifaro.com/en/abs/similarity-of-classification-tasks-2101.11201</loc><lastmod>2021-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/similarity-of-classification-tasks-2101.11201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/similarity-of-classification-tasks-2101.11201"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-linear-speedup-with-partial-worker-participation-in-non-iid-federated-learning-2101.11203</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-linear-speedup-with-partial-worker-participation-in-non-iid-federated-learning-2101.11203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-linear-speedup-with-partial-worker-participation-in-non-iid-federated-learning-2101.11203"/></url>
<url><loc>https://scifaro.com/en/abs/partition-of-unity-networks-deep-hp-approximation-2101.11256</loc><lastmod>2021-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partition-of-unity-networks-deep-hp-approximation-2101.11256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partition-of-unity-networks-deep-hp-approximation-2101.11256"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-the-representation-power-of-ghhs-2101.11286</loc><lastmod>2021-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-the-representation-power-of-ghhs-2101.11286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-the-representation-power-of-ghhs-2101.11286"/></url>
<url><loc>https://scifaro.com/en/abs/fedh2l-federated-learning-with-model-and-statistical-heterogeneity-2101.11296</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedh2l-federated-learning-with-model-and-statistical-heterogeneity-2101.11296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedh2l-federated-learning-with-model-and-statistical-heterogeneity-2101.11296"/></url>
<url><loc>https://scifaro.com/en/abs/learning-non-linear-wavelet-transformation-via-normalizing-flow-2101.11306</loc><lastmod>2022-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-non-linear-wavelet-transformation-via-normalizing-flow-2101.11306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-non-linear-wavelet-transformation-via-normalizing-flow-2101.11306"/></url>
<url><loc>https://scifaro.com/en/abs/offcon-3-what-is-state-of-the-art-anyway-2101.11331</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offcon-3-what-is-state-of-the-art-anyway-2101.11331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offcon-3-what-is-state-of-the-art-anyway-2101.11331"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-interpretability-of-deep-learning-based-models-for-knowledge-tracing-2101.11335</loc><lastmod>2021-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-interpretability-of-deep-learning-based-models-for-knowledge-tracing-2101.11335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-interpretability-of-deep-learning-based-models-for-knowledge-tracing-2101.11335"/></url>
<url><loc>https://scifaro.com/en/abs/decision-machines-congruent-decision-trees-2101.11347</loc><lastmod>2024-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-machines-congruent-decision-trees-2101.11347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-machines-congruent-decision-trees-2101.11347"/></url>
<url><loc>https://scifaro.com/en/abs/variational-nested-dropout-2101.11353</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-nested-dropout-2101.11353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-nested-dropout-2101.11353"/></url>
<url><loc>https://scifaro.com/en/abs/combat-data-shift-in-few-shot-learning-with-knowledge-graph-2101.11354</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combat-data-shift-in-few-shot-learning-with-knowledge-graph-2101.11354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combat-data-shift-in-few-shot-learning-with-knowledge-graph-2101.11354"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-discriminatory-risk-through-data-annotation-based-on-bayesian-inferences-2101.11358</loc><lastmod>2021-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-discriminatory-risk-through-data-annotation-based-on-bayesian-inferences-2101.11358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-discriminatory-risk-through-data-annotation-based-on-bayesian-inferences-2101.11358"/></url>
<url><loc>https://scifaro.com/en/abs/an-explainable-transformer-based-deep-learning-model-for-the-prediction-of-incident-heart-failure-2101.11359</loc><lastmod>2021-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-explainable-transformer-based-deep-learning-model-for-the-prediction-of-incident-heart-failure-2101.11359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-explainable-transformer-based-deep-learning-model-for-the-prediction-of-incident-heart-failure-2101.11359"/></url>
<url><loc>https://scifaro.com/en/abs/learning-abstract-representations-through-lossy-compression-of-multi-modal-signals-2101.11376</loc><lastmod>2021-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-abstract-representations-through-lossy-compression-of-multi-modal-signals-2101.11376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-abstract-representations-through-lossy-compression-of-multi-modal-signals-2101.11376"/></url>
<url><loc>https://scifaro.com/en/abs/adversaries-in-online-learning-revisited-with-applications-in-robust-optimization-and-adversarial-training-2101.11443</loc><lastmod>2021-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversaries-in-online-learning-revisited-with-applications-in-robust-optimization-and-adversarial-training-2101.11443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversaries-in-online-learning-revisited-with-applications-in-robust-optimization-and-adversarial-training-2101.11443"/></url>
<url><loc>https://scifaro.com/en/abs/meta-adversarial-training-against-universal-patches-2101.11453</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-adversarial-training-against-universal-patches-2101.11453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-adversarial-training-against-universal-patches-2101.11453"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-bi-level-optimization-for-learning-and-vision-from-a-unified-perspective-a-survey-and-beyond-2101.11517</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-bi-level-optimization-for-learning-and-vision-from-a-unified-perspective-a-survey-and-beyond-2101.11517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-bi-level-optimization-for-learning-and-vision-from-a-unified-perspective-a-survey-and-beyond-2101.11517"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-tree-wasserstein-distance-2101.11520</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-tree-wasserstein-distance-2101.11520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-tree-wasserstein-distance-2101.11520"/></url>
<url><loc>https://scifaro.com/en/abs/calibrating-and-improving-graph-contrastive-learning-2101.11525</loc><lastmod>2023-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrating-and-improving-graph-contrastive-learning-2101.11525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrating-and-improving-graph-contrastive-learning-2101.11525"/></url>
<url><loc>https://scifaro.com/en/abs/tropical-support-vector-machines-evaluations-and-extension-to-function-spaces-2101.11531</loc><lastmod>2022-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tropical-support-vector-machines-evaluations-and-extension-to-function-spaces-2101.11531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tropical-support-vector-machines-evaluations-and-extension-to-function-spaces-2101.11531"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoder-based-condition-monitoring-and-anomaly-detection-method-for-rotating-machines-2101.11539</loc><lastmod>2021-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoder-based-condition-monitoring-and-anomaly-detection-method-for-rotating-machines-2101.11539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoder-based-condition-monitoring-and-anomaly-detection-method-for-rotating-machines-2101.11539"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-graph-deep-learning-in-tensorflow-with-tf-geometric-2101.11552</loc><lastmod>2021-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-graph-deep-learning-in-tensorflow-with-tf-geometric-2101.11552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-graph-deep-learning-in-tensorflow-with-tf-geometric-2101.11552"/></url>
<url><loc>https://scifaro.com/en/abs/wisdom-of-the-contexts-active-ensemble-learning-for-contextual-anomaly-detection-2101.11560</loc><lastmod>2022-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wisdom-of-the-contexts-active-ensemble-learning-for-contextual-anomaly-detection-2101.11560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wisdom-of-the-contexts-active-ensemble-learning-for-contextual-anomaly-detection-2101.11560"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-sampling-of-molecular-geometries-with-uncertainty-based-adversarial-attacks-2101.11588</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-sampling-of-molecular-geometries-with-uncertainty-based-adversarial-attacks-2101.11588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-sampling-of-molecular-geometries-with-uncertainty-based-adversarial-attacks-2101.11588"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-2-stage-neural-optimization-for-pareto-front-extraction-2101.11684</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-2-stage-neural-optimization-for-pareto-front-extraction-2101.11684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-2-stage-neural-optimization-for-pareto-front-extraction-2101.11684"/></url>
<url><loc>https://scifaro.com/en/abs/hadamard-extensions-and-the-identification-of-mixtures-of-product-distributions-2101.11688</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hadamard-extensions-and-the-identification-of-mixtures-of-product-distributions-2101.11688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hadamard-extensions-and-the-identification-of-mixtures-of-product-distributions-2101.11688"/></url>
<url><loc>https://scifaro.com/en/abs/dopamine-differentially-private-federated-learning-on-medical-data-2101.11693</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dopamine-differentially-private-federated-learning-on-medical-data-2101.11693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dopamine-differentially-private-federated-learning-on-medical-data-2101.11693"/></url>
<url><loc>https://scifaro.com/en/abs/better-sampling-in-explanation-methods-can-prevent-dieselgate-like-deception-2101.11702</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-sampling-in-explanation-methods-can-prevent-dieselgate-like-deception-2101.11702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-sampling-in-explanation-methods-can-prevent-dieselgate-like-deception-2101.11702"/></url>
<url><loc>https://scifaro.com/en/abs/unified-framework-for-feature-extraction-based-on-contrastive-learning-2101.11703</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-framework-for-feature-extraction-based-on-contrastive-learning-2101.11703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-framework-for-feature-extraction-based-on-contrastive-learning-2101.11703"/></url>
<url><loc>https://scifaro.com/en/abs/a-case-study-of-deep-learning-based-multi-modal-methods-for-predicting-the-age-suitability-rating-of-movie-trailers-2101.11704</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-case-study-of-deep-learning-based-multi-modal-methods-for-predicting-the-age-suitability-rating-of-movie-trailers-2101.11704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-case-study-of-deep-learning-based-multi-modal-methods-for-predicting-the-age-suitability-rating-of-movie-trailers-2101.11704"/></url>
<url><loc>https://scifaro.com/en/abs/damage-detection-in-operational-wind-turbine-blades-using-a-new-approach-based-on-machine-learning-2101.11711</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/damage-detection-in-operational-wind-turbine-blades-using-a-new-approach-based-on-machine-learning-2101.11711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/damage-detection-in-operational-wind-turbine-blades-using-a-new-approach-based-on-machine-learning-2101.11711"/></url>
<url><loc>https://scifaro.com/en/abs/tt-rec-tensor-train-compression-for-deep-learning-recommendation-models-2101.11714</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tt-rec-tensor-train-compression-for-deep-learning-recommendation-models-2101.11714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tt-rec-tensor-train-compression-for-deep-learning-recommendation-models-2101.11714"/></url>
<url><loc>https://scifaro.com/en/abs/failure-prediction-in-production-line-based-on-federated-learning-an-empirical-study-2101.11715</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/failure-prediction-in-production-line-based-on-federated-learning-an-empirical-study-2101.11715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/failure-prediction-in-production-line-based-on-federated-learning-an-empirical-study-2101.11715"/></url>
<url><loc>https://scifaro.com/en/abs/disambiguating-symbolic-expressions-in-informal-documents-2101.11716</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disambiguating-symbolic-expressions-in-informal-documents-2101.11716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disambiguating-symbolic-expressions-in-informal-documents-2101.11716"/></url>
<url><loc>https://scifaro.com/en/abs/overestimation-learning-with-guarantees-2101.11717</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overestimation-learning-with-guarantees-2101.11717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overestimation-learning-with-guarantees-2101.11717"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-mapping-between-hopfield-networks-and-restricted-boltzmann-machines-2101.11744</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-mapping-between-hopfield-networks-and-restricted-boltzmann-machines-2101.11744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-mapping-between-hopfield-networks-and-restricted-boltzmann-machines-2101.11744"/></url>
<url><loc>https://scifaro.com/en/abs/faster-kernel-interpolation-for-gaussian-processes-2101.11751</loc><lastmod>2021-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-kernel-interpolation-for-gaussian-processes-2101.11751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-kernel-interpolation-for-gaussian-processes-2101.11751"/></url>
<url><loc>https://scifaro.com/en/abs/improving-neural-network-robustness-through-neighborhood-preserving-layers-2101.11766</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-neural-network-robustness-through-neighborhood-preserving-layers-2101.11766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-neural-network-robustness-through-neighborhood-preserving-layers-2101.11766"/></url>
<url><loc>https://scifaro.com/en/abs/covert-model-poisoning-against-federated-learning-algorithm-design-and-optimization-2101.11799</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covert-model-poisoning-against-federated-learning-algorithm-design-and-optimization-2101.11799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covert-model-poisoning-against-federated-learning-algorithm-design-and-optimization-2101.11799"/></url>
<url><loc>https://scifaro.com/en/abs/adaspring-context-adaptive-and-runtime-evolutionary-deep-model-compression-for-mobile-applications-2101.11800</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaspring-context-adaptive-and-runtime-evolutionary-deep-model-compression-for-mobile-applications-2101.11800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaspring-context-adaptive-and-runtime-evolutionary-deep-model-compression-for-mobile-applications-2101.11800"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-decision-forest-an-incremental-machine-learning-framework-2101.11828</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-decision-forest-an-incremental-machine-learning-framework-2101.11828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-decision-forest-an-incremental-machine-learning-framework-2101.11828"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-and-unifying-graph-neural-networks-with-an-optimization-framework-2101.11859</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-and-unifying-graph-neural-networks-with-an-optimization-framework-2101.11859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-and-unifying-graph-neural-networks-with-an-optimization-framework-2101.11859"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-the-hidden-tasks-of-gans-making-implicit-subproblems-explicit-2101.11863</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-the-hidden-tasks-of-gans-making-implicit-subproblems-explicit-2101.11863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-the-hidden-tasks-of-gans-making-implicit-subproblems-explicit-2101.11863"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-via-lstm-models-for-covid-19-infection-forecasting-in-india-2101.11881</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-via-lstm-models-for-covid-19-infection-forecasting-in-india-2101.11881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-via-lstm-models-for-covid-19-infection-forecasting-in-india-2101.11881"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-design-of-novel-potential-3cl-text-pro-and-pl-text-pro-inhibitors-2101.11890</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-design-of-novel-potential-3cl-text-pro-and-pl-text-pro-inhibitors-2101.11890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-design-of-novel-potential-3cl-text-pro-and-pl-text-pro-inhibitors-2101.11890"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-cross-silo-federated-neural-architecture-search-2101.11896</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-cross-silo-federated-neural-architecture-search-2101.11896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-cross-silo-federated-neural-architecture-search-2101.11896"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-challenge-for-prognostic-modelling-in-head-and-neck-cancer-using-multi-modal-data-2101.11935</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-challenge-for-prognostic-modelling-in-head-and-neck-cancer-using-multi-modal-data-2101.11935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-challenge-for-prognostic-modelling-in-head-and-neck-cancer-using-multi-modal-data-2101.11935"/></url>
<url><loc>https://scifaro.com/en/abs/pspan-mining-frequent-subnets-of-petri-nets-2101.11972</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pspan-mining-frequent-subnets-of-petri-nets-2101.11972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pspan-mining-frequent-subnets-of-petri-nets-2101.11972"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-cloud-resources-management-an-overview-2101.11984</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-cloud-resources-management-an-overview-2101.11984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-cloud-resources-management-an-overview-2101.11984"/></url>
<url><loc>https://scifaro.com/en/abs/acting-in-delayed-environments-with-non-stationary-markov-policies-2101.11992</loc><lastmod>2023-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/acting-in-delayed-environments-with-non-stationary-markov-policies-2101.11992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/acting-in-delayed-environments-with-non-stationary-markov-policies-2101.11992"/></url>
<url><loc>https://scifaro.com/en/abs/copula-based-conformal-prediction-for-multi-target-regression-2101.12002</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copula-based-conformal-prediction-for-multi-target-regression-2101.12002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copula-based-conformal-prediction-for-multi-target-regression-2101.12002"/></url>
<url><loc>https://scifaro.com/en/abs/a-fully-rigorous-proof-of-the-derivation-of-xavier-and-he-s-initialization-for-deep-relu-networks-2101.12017</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fully-rigorous-proof-of-the-derivation-of-xavier-and-he-s-initialization-for-deep-relu-networks-2101.12017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fully-rigorous-proof-of-the-derivation-of-xavier-and-he-s-initialization-for-deep-relu-networks-2101.12017"/></url>
<url><loc>https://scifaro.com/en/abs/bendr-using-transformers-and-a-contrastive-self-supervised-learning-task-to-learn-from-massive-amounts-of-eeg-data-2101.12037</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bendr-using-transformers-and-a-contrastive-self-supervised-learning-task-to-learn-from-massive-amounts-of-eeg-data-2101.12037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bendr-using-transformers-and-a-contrastive-self-supervised-learning-task-to-learn-from-massive-amounts-of-eeg-data-2101.12037"/></url>
<url><loc>https://scifaro.com/en/abs/autoregressive-denoising-diffusion-models-for-multivariate-probabilistic-time-series-forecasting-2101.12072</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoregressive-denoising-diffusion-models-for-multivariate-probabilistic-time-series-forecasting-2101.12072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoregressive-denoising-diffusion-models-for-multivariate-probabilistic-time-series-forecasting-2101.12072"/></url>
<url><loc>https://scifaro.com/en/abs/generalising-via-meta-examples-for-continual-learning-in-the-wild-2101.12081</loc><lastmod>2022-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalising-via-meta-examples-for-continual-learning-in-the-wild-2101.12081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalising-via-meta-examples-for-continual-learning-in-the-wild-2101.12081"/></url>
<url><loc>https://scifaro.com/en/abs/learning-structural-edits-via-incremental-tree-transformations-2101.12087</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-structural-edits-via-incremental-tree-transformations-2101.12087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-structural-edits-via-incremental-tree-transformations-2101.12087"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-machine-learning-attacks-on-condition-based-maintenance-capabilities-2101.12097</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-machine-learning-attacks-on-condition-based-maintenance-capabilities-2101.12097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-machine-learning-attacks-on-condition-based-maintenance-capabilities-2101.12097"/></url>
<url><loc>https://scifaro.com/en/abs/an-analysis-of-protected-health-information-leakage-in-deep-learning-based-de-identification-algorithms-2101.12099</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analysis-of-protected-health-information-leakage-in-deep-learning-based-de-identification-algorithms-2101.12099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analysis-of-protected-health-information-leakage-in-deep-learning-based-de-identification-algorithms-2101.12099"/></url>
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<url><loc>https://scifaro.com/en/abs/low-complexity-approximate-bayesian-logistic-regression-for-sparse-online-learning-2101.12113</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-complexity-approximate-bayesian-logistic-regression-for-sparse-online-learning-2101.12113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-complexity-approximate-bayesian-logistic-regression-for-sparse-online-learning-2101.12113"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-policy-search-using-monte-carlo-gradient-estimation-with-real-systems-application-2101.12115</loc><lastmod>2022-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-policy-search-using-monte-carlo-gradient-estimation-with-real-systems-application-2101.12115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-policy-search-using-monte-carlo-gradient-estimation-with-real-systems-application-2101.12115"/></url>
<url><loc>https://scifaro.com/en/abs/tf-data-a-machine-learning-data-processing-framework-2101.12127</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tf-data-a-machine-learning-data-processing-framework-2101.12127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tf-data-a-machine-learning-data-processing-framework-2101.12127"/></url>
<url><loc>https://scifaro.com/en/abs/self-attention-meta-learner-for-continual-learning-2101.12136</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-attention-meta-learner-for-continual-learning-2101.12136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-attention-meta-learner-for-continual-learning-2101.12136"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-origin-of-implicit-regularization-in-stochastic-gradient-descent-2101.12176</loc><lastmod>2021-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-origin-of-implicit-regularization-in-stochastic-gradient-descent-2101.12176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-origin-of-implicit-regularization-in-stochastic-gradient-descent-2101.12176"/></url>
<url><loc>https://scifaro.com/en/abs/federated-multi-armed-bandits-2101.12204</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-multi-armed-bandits-2101.12204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-multi-armed-bandits-2101.12204"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-on-spectral-images-of-electroencephalogram-of-schizophenics-2101.12208</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-on-spectral-images-of-electroencephalogram-of-schizophenics-2101.12208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-on-spectral-images-of-electroencephalogram-of-schizophenics-2101.12208"/></url>
<url><loc>https://scifaro.com/en/abs/differential-privacy-meets-federated-learning-under-communication-constraints-2101.12240</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-privacy-meets-federated-learning-under-communication-constraints-2101.12240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-privacy-meets-federated-learning-under-communication-constraints-2101.12240"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-non-specific-syndromic-surveillance-2101.12246</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-non-specific-syndromic-surveillance-2101.12246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-non-specific-syndromic-surveillance-2101.12246"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-capacity-of-deep-generative-networks-for-approximating-distributions-2101.12353</loc><lastmod>2023-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-capacity-of-deep-generative-networks-for-approximating-distributions-2101.12353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-capacity-of-deep-generative-networks-for-approximating-distributions-2101.12353"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-learning-with-cost-sensitive-classes-2101.12372</loc><lastmod>2022-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-learning-with-cost-sensitive-classes-2101.12372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-learning-with-cost-sensitive-classes-2101.12372"/></url>
<url><loc>https://scifaro.com/en/abs/fair-resource-allocation-for-demands-with-sharp-lower-tail-inequalities-2101.12403</loc><lastmod>2023-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-resource-allocation-for-demands-with-sharp-lower-tail-inequalities-2101.12403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-resource-allocation-for-demands-with-sharp-lower-tail-inequalities-2101.12403"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-artificial-neural-network-based-generative-design-method-for-layout-designs-2101.12410</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-artificial-neural-network-based-generative-design-method-for-layout-designs-2101.12410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-artificial-neural-network-based-generative-design-method-for-layout-designs-2101.12410"/></url>
<url><loc>https://scifaro.com/en/abs/subgraph-nomination-query-by-example-subgraph-retrieval-in-networks-2101.12430</loc><lastmod>2022-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subgraph-nomination-query-by-example-subgraph-retrieval-in-networks-2101.12430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subgraph-nomination-query-by-example-subgraph-retrieval-in-networks-2101.12430"/></url>
<url><loc>https://scifaro.com/en/abs/learning-twofold-heterogeneous-multi-task-by-sharing-similar-convolution-kernel-pairs-2101.12431</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-twofold-heterogeneous-multi-task-by-sharing-similar-convolution-kernel-pairs-2101.12431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-twofold-heterogeneous-multi-task-by-sharing-similar-convolution-kernel-pairs-2101.12431"/></url>
<url><loc>https://scifaro.com/en/abs/agstn-learning-attention-adjusted-graph-spatio-temporal-networks-for-short-term-urban-sensor-value-forecasting-2101.12465</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agstn-learning-attention-adjusted-graph-spatio-temporal-networks-for-short-term-urban-sensor-value-forecasting-2101.12465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agstn-learning-attention-adjusted-graph-spatio-temporal-networks-for-short-term-urban-sensor-value-forecasting-2101.12465"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-traditional-assumptions-in-fair-machine-learning-2101.12476</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-traditional-assumptions-in-fair-machine-learning-2101.12476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-traditional-assumptions-in-fair-machine-learning-2101.12476"/></url>
<url><loc>https://scifaro.com/en/abs/learning-user-preferences-in-non-stationary-environments-2101.12506</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-user-preferences-in-non-stationary-environments-2101.12506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-user-preferences-in-non-stationary-environments-2101.12506"/></url>
<url><loc>https://scifaro.com/en/abs/challenges-for-using-impact-regularizers-to-avoid-negative-side-effects-2101.12509</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-for-using-impact-regularizers-to-avoid-negative-side-effects-2101.12509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-for-using-impact-regularizers-to-avoid-negative-side-effects-2101.12509"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-strategies-for-reject-option-classifiers-2101.12523</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-strategies-for-reject-option-classifiers-2101.12523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-strategies-for-reject-option-classifiers-2101.12523"/></url>
<url><loc>https://scifaro.com/en/abs/bridgedpi-a-novel-graph-neural-network-for-predicting-drug-protein-interactions-2101.12547</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridgedpi-a-novel-graph-neural-network-for-predicting-drug-protein-interactions-2101.12547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridgedpi-a-novel-graph-neural-network-for-predicting-drug-protein-interactions-2101.12547"/></url>
<url><loc>https://scifaro.com/en/abs/adjusting-for-autocorrelated-errors-in-neural-networks-for-time-series-2101.12578</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adjusting-for-autocorrelated-errors-in-neural-networks-for-time-series-2101.12578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adjusting-for-autocorrelated-errors-in-neural-networks-for-time-series-2101.12578"/></url>
<url><loc>https://scifaro.com/en/abs/no-regret-caching-via-online-mirror-descent-2101.12588</loc><lastmod>2023-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-regret-caching-via-online-mirror-descent-2101.12588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-regret-caching-via-online-mirror-descent-2101.12588"/></url>
<url><loc>https://scifaro.com/en/abs/digitalexposome-quantifying-the-urban-environment-influence-on-wellbeing-based-on-real-time-multi-sensor-fusion-and-deep-belief-network-2101.12615</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/digitalexposome-quantifying-the-urban-environment-influence-on-wellbeing-based-on-real-time-multi-sensor-fusion-and-deep-belief-network-2101.12615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/digitalexposome-quantifying-the-urban-environment-influence-on-wellbeing-based-on-real-time-multi-sensor-fusion-and-deep-belief-network-2101.12615"/></url>
<url><loc>https://scifaro.com/en/abs/the-deep-radial-basis-function-data-descriptor-d-rbfdd-network-a-one-class-neural-network-for-anomaly-detection-2101.12632</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-deep-radial-basis-function-data-descriptor-d-rbfdd-network-a-one-class-neural-network-for-anomaly-detection-2101.12632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-deep-radial-basis-function-data-descriptor-d-rbfdd-network-a-one-class-neural-network-for-anomaly-detection-2101.12632"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-deep-neural-networks-via-layer-peeled-model-minority-collapse-in-imbalanced-training-2101.12699</loc><lastmod>2022-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-deep-neural-networks-via-layer-peeled-model-minority-collapse-in-imbalanced-training-2101.12699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-deep-neural-networks-via-layer-peeled-model-minority-collapse-in-imbalanced-training-2101.12699"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-nanorobot-shapes-via-generative-models-2101.12719</loc><lastmod>2021-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-nanorobot-shapes-via-generative-models-2101.12719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-nanorobot-shapes-via-generative-models-2101.12719"/></url>
<url><loc>https://scifaro.com/en/abs/improved-variance-aware-confidence-sets-for-linear-bandits-and-linear-mixture-mdp-2101.12745</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-variance-aware-confidence-sets-for-linear-bandits-and-linear-mixture-mdp-2101.12745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-variance-aware-confidence-sets-for-linear-bandits-and-linear-mixture-mdp-2101.12745"/></url>
<url><loc>https://scifaro.com/en/abs/you-only-query-once-effective-black-box-adversarial-attacks-with-minimal-repeated-queries-2102.00029</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/you-only-query-once-effective-black-box-adversarial-attacks-with-minimal-repeated-queries-2102.00029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/you-only-query-once-effective-black-box-adversarial-attacks-with-minimal-repeated-queries-2102.00029"/></url>
<url><loc>https://scifaro.com/en/abs/optimistic-policy-iteration-for-mdps-with-acyclic-transient-state-structure-2102.00030</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimistic-policy-iteration-for-mdps-with-acyclic-transient-state-structure-2102.00030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimistic-policy-iteration-for-mdps-with-acyclic-transient-state-structure-2102.00030"/></url>
<url><loc>https://scifaro.com/en/abs/model-adaptation-for-image-reconstruction-using-generalized-stein-s-unbiased-risk-estimator-2102.00047</loc><lastmod>2022-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-adaptation-for-image-reconstruction-using-generalized-stein-s-unbiased-risk-estimator-2102.00047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-adaptation-for-image-reconstruction-using-generalized-stein-s-unbiased-risk-estimator-2102.00047"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-prediction-under-log-loss-and-misspecification-2102.00050</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-prediction-under-log-loss-and-misspecification-2102.00050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-prediction-under-log-loss-and-misspecification-2102.00050"/></url>
<url><loc>https://scifaro.com/en/abs/stimuli-sensitive-hawkes-processes-for-personalized-student-procrastination-modeling-2102.00089</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stimuli-sensitive-hawkes-processes-for-personalized-student-procrastination-modeling-2102.00089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stimuli-sensitive-hawkes-processes-for-personalized-student-procrastination-modeling-2102.00089"/></url>
<url><loc>https://scifaro.com/en/abs/relaxed-clustered-hawkes-process-for-procrastination-modeling-in-moocs-2102.00093</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relaxed-clustered-hawkes-process-for-procrastination-modeling-in-moocs-2102.00093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relaxed-clustered-hawkes-process-for-procrastination-modeling-in-moocs-2102.00093"/></url>
<url><loc>https://scifaro.com/en/abs/on-data-efficiency-of-meta-learning-2102.00127</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-data-efficiency-of-meta-learning-2102.00127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-data-efficiency-of-meta-learning-2102.00127"/></url>
<url><loc>https://scifaro.com/en/abs/policy-mirror-descent-for-reinforcement-learning-linear-convergence-new-sampling-complexity-and-generalized-problem-classes-2102.00135</loc><lastmod>2022-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-mirror-descent-for-reinforcement-learning-linear-convergence-new-sampling-complexity-and-generalized-problem-classes-2102.00135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-mirror-descent-for-reinforcement-learning-linear-convergence-new-sampling-complexity-and-generalized-problem-classes-2102.00135"/></url>
<url><loc>https://scifaro.com/en/abs/coupling-innovation-method-and-feasibility-analysis-of-garbage-classification-2102.00193</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupling-innovation-method-and-feasibility-analysis-of-garbage-classification-2102.00193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupling-innovation-method-and-feasibility-analysis-of-garbage-classification-2102.00193"/></url>
<url><loc>https://scifaro.com/en/abs/linear-frequency-principle-model-to-understand-the-absence-of-overfitting-in-neural-networks-2102.00200</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-frequency-principle-model-to-understand-the-absence-of-overfitting-in-neural-networks-2102.00200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-frequency-principle-model-to-understand-the-absence-of-overfitting-in-neural-networks-2102.00200"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-re-sampling-using-generative-adversarial-networks-2102.00208</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-re-sampling-using-generative-adversarial-networks-2102.00208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-re-sampling-using-generative-adversarial-networks-2102.00208"/></url>
<url><loc>https://scifaro.com/en/abs/nl-cnn-a-resources-constrained-deep-learning-model-based-on-nonlinear-convolution-2102.00227</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nl-cnn-a-resources-constrained-deep-learning-model-based-on-nonlinear-convolution-2102.00227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nl-cnn-a-resources-constrained-deep-learning-model-based-on-nonlinear-convolution-2102.00227"/></url>
<url><loc>https://scifaro.com/en/abs/icodenet-a-hierarchical-neural-network-approach-for-source-code-author-identification-2102.00230</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/icodenet-a-hierarchical-neural-network-approach-for-source-code-author-identification-2102.00230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/icodenet-a-hierarchical-neural-network-approach-for-source-code-author-identification-2102.00230"/></url>
<url><loc>https://scifaro.com/en/abs/atlas-generative-models-and-geodesic-interpolation-2102.00264</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/atlas-generative-models-and-geodesic-interpolation-2102.00264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/atlas-generative-models-and-geodesic-interpolation-2102.00264"/></url>
<url><loc>https://scifaro.com/en/abs/inertial-proximal-deep-learning-alternating-minimization-for-efficient-neutral-network-training-2102.00267</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inertial-proximal-deep-learning-alternating-minimization-for-efficient-neutral-network-training-2102.00267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inertial-proximal-deep-learning-alternating-minimization-for-efficient-neutral-network-training-2102.00267"/></url>
<url><loc>https://scifaro.com/en/abs/empathbert-a-bert-based-framework-for-demographic-aware-empathy-prediction-2102.00272</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empathbert-a-bert-based-framework-for-demographic-aware-empathy-prediction-2102.00272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empathbert-a-bert-based-framework-for-demographic-aware-empathy-prediction-2102.00272"/></url>
<url><loc>https://scifaro.com/en/abs/size-and-depth-separation-in-approximating-benign-functions-with-neural-networks-2102.00314</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/size-and-depth-separation-in-approximating-benign-functions-with-neural-networks-2102.00314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/size-and-depth-separation-in-approximating-benign-functions-with-neural-networks-2102.00314"/></url>
<url><loc>https://scifaro.com/en/abs/metalearning-sparse-variable-structure-automata-2102.00315</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metalearning-sparse-variable-structure-automata-2102.00315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metalearning-sparse-variable-structure-automata-2102.00315"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-submodular-welfare-and-matroid-blocking-bandits-2102.00321</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-submodular-welfare-and-matroid-blocking-bandits-2102.00321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-submodular-welfare-and-matroid-blocking-bandits-2102.00321"/></url>
<url><loc>https://scifaro.com/en/abs/learning-interaction-kernels-for-agent-systems-on-riemannian-manifolds-2102.00327</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-interaction-kernels-for-agent-systems-on-riemannian-manifolds-2102.00327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-interaction-kernels-for-agent-systems-on-riemannian-manifolds-2102.00327"/></url>
<url><loc>https://scifaro.com/en/abs/classification-models-for-partially-ordered-sequences-2102.00380</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-models-for-partially-ordered-sequences-2102.00380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-models-for-partially-ordered-sequences-2102.00380"/></url>
<url><loc>https://scifaro.com/en/abs/the-distance-between-the-weights-of-the-neural-network-is-meaningful-2102.00396</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-distance-between-the-weights-of-the-neural-network-is-meaningful-2102.00396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-distance-between-the-weights-of-the-neural-network-is-meaningful-2102.00396"/></url>
<url><loc>https://scifaro.com/en/abs/learning-interpretable-deep-state-space-model-for-probabilistic-time-series-forecasting-2102.00397</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-interpretable-deep-state-space-model-for-probabilistic-time-series-forecasting-2102.00397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-interpretable-deep-state-space-model-for-probabilistic-time-series-forecasting-2102.00397"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-to-predict-customer-satisfaction-following-interactions-with-a-corporate-call-center-2102.00420</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-to-predict-customer-satisfaction-following-interactions-with-a-corporate-call-center-2102.00420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-to-predict-customer-satisfaction-following-interactions-with-a-corporate-call-center-2102.00420"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-yet-brisk-and-efficient-active-learning-platform-for-text-classification-2102.00426</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-yet-brisk-and-efficient-active-learning-platform-for-text-classification-2102.00426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-yet-brisk-and-efficient-active-learning-platform-for-text-classification-2102.00426"/></url>
<url><loc>https://scifaro.com/en/abs/pytorch-hebbian-facilitating-local-learning-in-a-deep-learning-framework-2102.00428</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pytorch-hebbian-facilitating-local-learning-in-a-deep-learning-framework-2102.00428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pytorch-hebbian-facilitating-local-learning-in-a-deep-learning-framework-2102.00428"/></url>
<url><loc>https://scifaro.com/en/abs/synergetic-learning-of-heterogeneous-temporal-sequences-for-multi-horizon-probabilistic-forecasting-2102.00431</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synergetic-learning-of-heterogeneous-temporal-sequences-for-multi-horizon-probabilistic-forecasting-2102.00431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synergetic-learning-of-heterogeneous-temporal-sequences-for-multi-horizon-probabilistic-forecasting-2102.00431"/></url>
<url><loc>https://scifaro.com/en/abs/the-connection-between-approximation-depth-separation-and-learnability-in-neural-networks-2102.00434</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-connection-between-approximation-depth-separation-and-learnability-in-neural-networks-2102.00434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-connection-between-approximation-depth-separation-and-learnability-in-neural-networks-2102.00434"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-savings-in-agnostic-active-learning-through-abstention-2102.00451</loc><lastmod>2022-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-savings-in-agnostic-active-learning-through-abstention-2102.00451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-savings-in-agnostic-active-learning-through-abstention-2102.00451"/></url>
<url><loc>https://scifaro.com/en/abs/multirocket-multiple-pooling-operators-and-transformations-for-fast-and-effective-time-series-classification-2102.00457</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multirocket-multiple-pooling-operators-and-transformations-for-fast-and-effective-time-series-classification-2102.00457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multirocket-multiple-pooling-operators-and-transformations-for-fast-and-effective-time-series-classification-2102.00457"/></url>
<url><loc>https://scifaro.com/en/abs/fast-rates-for-the-regret-of-offline-reinforcement-learning-2102.00479</loc><lastmod>2023-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-rates-for-the-regret-of-offline-reinforcement-learning-2102.00479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-rates-for-the-regret-of-offline-reinforcement-learning-2102.00479"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-geometry-and-topology-of-neural-network-loss-landscapes-2102.00485</loc><lastmod>2022-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-geometry-and-topology-of-neural-network-loss-landscapes-2102.00485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-geometry-and-topology-of-neural-network-loss-landscapes-2102.00485"/></url>
<url><loc>https://scifaro.com/en/abs/online-markov-decision-processes-with-aggregate-bandit-feedback-2102.00490</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-markov-decision-processes-with-aggregate-bandit-feedback-2102.00490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-markov-decision-processes-with-aggregate-bandit-feedback-2102.00490"/></url>
<url><loc>https://scifaro.com/en/abs/a-multiscale-environment-for-learning-by-diffusion-2102.00500</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multiscale-environment-for-learning-by-diffusion-2102.00500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multiscale-environment-for-learning-by-diffusion-2102.00500"/></url>
<url><loc>https://scifaro.com/en/abs/exact-recovery-of-clusters-in-finite-metric-spaces-using-oracle-queries-2102.00504</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-recovery-of-clusters-in-finite-metric-spaces-using-oracle-queries-2102.00504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-recovery-of-clusters-in-finite-metric-spaces-using-oracle-queries-2102.00504"/></url>
<url><loc>https://scifaro.com/en/abs/co-seg-an-image-segmentation-framework-against-label-corruption-2102.00523</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-seg-an-image-segmentation-framework-against-label-corruption-2102.00523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-seg-an-image-segmentation-framework-against-label-corruption-2102.00523"/></url>
<url><loc>https://scifaro.com/en/abs/a-runtime-based-computational-performance-predictor-for-deep-neural-network-training-2102.00527</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-runtime-based-computational-performance-predictor-for-deep-neural-network-training-2102.00527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-runtime-based-computational-performance-predictor-for-deep-neural-network-training-2102.00527"/></url>
<url><loc>https://scifaro.com/en/abs/deep-deterministic-information-bottleneck-with-matrix-based-entropy-functional-2102.00533</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-deterministic-information-bottleneck-with-matrix-based-entropy-functional-2102.00533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-deterministic-information-bottleneck-with-matrix-based-entropy-functional-2102.00533"/></url>
<url><loc>https://scifaro.com/en/abs/generative-and-discriminative-deep-belief-network-classifiers-comparisons-under-an-approximate-computing-framework-2102.00534</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-and-discriminative-deep-belief-network-classifiers-comparisons-under-an-approximate-computing-framework-2102.00534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-and-discriminative-deep-belief-network-classifiers-comparisons-under-an-approximate-computing-framework-2102.00534"/></url>
<url><loc>https://scifaro.com/en/abs/code-ae-a-coherent-de-confounding-autoencoder-for-predicting-patient-specific-drug-response-from-cell-line-transcriptomics-2102.00538</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/code-ae-a-coherent-de-confounding-autoencoder-for-predicting-patient-specific-drug-response-from-cell-line-transcriptomics-2102.00538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/code-ae-a-coherent-de-confounding-autoencoder-for-predicting-patient-specific-drug-response-from-cell-line-transcriptomics-2102.00538"/></url>
<url><loc>https://scifaro.com/en/abs/graphebm-molecular-graph-generation-with-energy-based-models-2102.00546</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphebm-molecular-graph-generation-with-energy-based-models-2102.00546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphebm-molecular-graph-generation-with-energy-based-models-2102.00546"/></url>
<url><loc>https://scifaro.com/en/abs/sparsity-in-deep-learning-pruning-and-growth-for-efficient-inference-and-training-in-neural-networks-2102.00554</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsity-in-deep-learning-pruning-and-growth-for-efficient-inference-and-training-in-neural-networks-2102.00554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsity-in-deep-learning-pruning-and-growth-for-efficient-inference-and-training-in-neural-networks-2102.00554"/></url>
<url><loc>https://scifaro.com/en/abs/spatiotemporal-ground-reaction-force-analysis-using-convolutional-neural-networks-to-analyze-parkinsonian-gait-2102.00628</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatiotemporal-ground-reaction-force-analysis-using-convolutional-neural-networks-to-analyze-parkinsonian-gait-2102.00628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatiotemporal-ground-reaction-force-analysis-using-convolutional-neural-networks-to-analyze-parkinsonian-gait-2102.00628"/></url>
<url><loc>https://scifaro.com/en/abs/computing-the-hazard-ratios-associated-with-explanatory-variables-using-machine-learning-models-of-survival-data-2102.00637</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-the-hazard-ratios-associated-with-explanatory-variables-using-machine-learning-models-of-survival-data-2102.00637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-the-hazard-ratios-associated-with-explanatory-variables-using-machine-learning-models-of-survival-data-2102.00637"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-soft-labels-for-knowledge-distillation-a-bias-variance-tradeoff-perspective-2102.00650</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-soft-labels-for-knowledge-distillation-a-bias-variance-tradeoff-perspective-2102.00650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-soft-labels-for-knowledge-distillation-a-bias-variance-tradeoff-perspective-2102.00650"/></url>
<url><loc>https://scifaro.com/en/abs/curse-or-redemption-how-data-heterogeneity-affects-the-robustness-of-federated-learning-2102.00655</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curse-or-redemption-how-data-heterogeneity-affects-the-robustness-of-federated-learning-2102.00655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curse-or-redemption-how-data-heterogeneity-affects-the-robustness-of-federated-learning-2102.00655"/></url>
<url><loc>https://scifaro.com/en/abs/towards-speeding-up-adversarial-training-in-latent-spaces-2102.00662</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-speeding-up-adversarial-training-in-latent-spaces-2102.00662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-speeding-up-adversarial-training-in-latent-spaces-2102.00662"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-learning-vector-quantization-on-manifold-of-symmetric-positive-definite-matrices-2102.00667</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-learning-vector-quantization-on-manifold-of-symmetric-positive-definite-matrices-2102.00667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-learning-vector-quantization-on-manifold-of-symmetric-positive-definite-matrices-2102.00667"/></url>
<url><loc>https://scifaro.com/en/abs/binary-classification-from-multiple-unlabeled-datasets-via-surrogate-set-classification-2102.00678</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-classification-from-multiple-unlabeled-datasets-via-surrogate-set-classification-2102.00678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-classification-from-multiple-unlabeled-datasets-via-surrogate-set-classification-2102.00678"/></url>
<url><loc>https://scifaro.com/en/abs/numerical-weather-forecasting-using-convolutional-lstm-with-attention-and-context-matcher-mechanisms-2102.00696</loc><lastmod>2023-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/numerical-weather-forecasting-using-convolutional-lstm-with-attention-and-context-matcher-mechanisms-2102.00696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/numerical-weather-forecasting-using-convolutional-lstm-with-attention-and-context-matcher-mechanisms-2102.00696"/></url>
<url><loc>https://scifaro.com/en/abs/a-reproducibility-study-of-augmenting-genetic-algorithms-with-deep-neural-networks-for-exploring-the-chemical-space-2102.00700</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reproducibility-study-of-augmenting-genetic-algorithms-with-deep-neural-networks-for-exploring-the-chemical-space-2102.00700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reproducibility-study-of-augmenting-genetic-algorithms-with-deep-neural-networks-for-exploring-the-chemical-space-2102.00700"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-and-comparing-external-measures-for-the-assessment-of-cluster-analysis-and-community-detection-2102.00708</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-and-comparing-external-measures-for-the-assessment-of-cluster-analysis-and-community-detection-2102.00708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-and-comparing-external-measures-for-the-assessment-of-cluster-analysis-and-community-detection-2102.00708"/></url>
<url><loc>https://scifaro.com/en/abs/neorl-a-near-real-world-benchmark-for-offline-reinforcement-learning-2102.00714</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neorl-a-near-real-world-benchmark-for-offline-reinforcement-learning-2102.00714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neorl-a-near-real-world-benchmark-for-offline-reinforcement-learning-2102.00714"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-online-convex-optimization-application-to-probabilistic-time-series-forecasting-2102.00729</loc><lastmod>2023-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-online-convex-optimization-application-to-probabilistic-time-series-forecasting-2102.00729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-online-convex-optimization-application-to-probabilistic-time-series-forecasting-2102.00729"/></url>
<url><loc>https://scifaro.com/en/abs/classifications-based-on-response-times-for-detecting-early-stage-alzheimer-s-disease-2102.00738</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifications-based-on-response-times-for-detecting-early-stage-alzheimer-s-disease-2102.00738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifications-based-on-response-times-for-detecting-early-stage-alzheimer-s-disease-2102.00738"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-combat-noisy-labels-via-classification-margins-2102.00751</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-combat-noisy-labels-via-classification-margins-2102.00751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-combat-noisy-labels-via-classification-margins-2102.00751"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-fair-machine-learning-2102.00753</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-fair-machine-learning-2102.00753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-fair-machine-learning-2102.00753"/></url>
<url><loc>https://scifaro.com/en/abs/an-end-to-end-trainable-iterative-network-architecture-for-accelerated-radial-multi-coil-2d-cine-mr-image-reconstruction-2102.00783</loc><lastmod>2022-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-end-to-end-trainable-iterative-network-architecture-for-accelerated-radial-multi-coil-2d-cine-mr-image-reconstruction-2102.00783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-end-to-end-trainable-iterative-network-architecture-for-accelerated-radial-multi-coil-2d-cine-mr-image-reconstruction-2102.00783"/></url>
<url><loc>https://scifaro.com/en/abs/bellman-eluder-dimension-new-rich-classes-of-rl-problems-and-sample-efficient-algorithms-2102.00815</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bellman-eluder-dimension-new-rich-classes-of-rl-problems-and-sample-efficient-algorithms-2102.00815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bellman-eluder-dimension-new-rich-classes-of-rl-problems-and-sample-efficient-algorithms-2102.00815"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-pipeline-for-battery-state-of-health-estimation-2102.00837</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-pipeline-for-battery-state-of-health-estimation-2102.00837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-pipeline-for-battery-state-of-health-estimation-2102.00837"/></url>
<url><loc>https://scifaro.com/en/abs/coordiq-coordinated-q-learning-for-electric-vehicle-charging-recommendation-2102.00847</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coordiq-coordinated-q-learning-for-electric-vehicle-charging-recommendation-2102.00847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coordiq-coordinated-q-learning-for-electric-vehicle-charging-recommendation-2102.00847"/></url>
<url><loc>https://scifaro.com/en/abs/painless-step-size-adaptation-for-sgd-2102.00853</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/painless-step-size-adaptation-for-sgd-2102.00853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/painless-step-size-adaptation-for-sgd-2102.00853"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-variational-autoencoder-for-visual-counterfactuals-2102.00854</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-variational-autoencoder-for-visual-counterfactuals-2102.00854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-variational-autoencoder-for-visual-counterfactuals-2102.00854"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-federated-learning-for-fine-tuning-of-large-language-models-2102.00875</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-federated-learning-for-fine-tuning-of-large-language-models-2102.00875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-federated-learning-for-fine-tuning-of-large-language-models-2102.00875"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-taylor-expansion-with-gaussian-processes-2102.00877</loc><lastmod>2023-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-taylor-expansion-with-gaussian-processes-2102.00877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-taylor-expansion-with-gaussian-processes-2102.00877"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-federated-learning-preserves-model-and-data-privacy-2102.00880</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-federated-learning-preserves-model-and-data-privacy-2102.00880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-federated-learning-preserves-model-and-data-privacy-2102.00880"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-disentanglement-of-class-related-and-class-independent-factors-in-vae-2102.00892</loc><lastmod>2021-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-disentanglement-of-class-related-and-class-independent-factors-in-vae-2102.00892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-disentanglement-of-class-related-and-class-independent-factors-in-vae-2102.00892"/></url>
<url><loc>https://scifaro.com/en/abs/forensicability-of-deep-neural-network-inference-pipelines-2102.00921</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forensicability-of-deep-neural-network-inference-pipelines-2102.00921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forensicability-of-deep-neural-network-inference-pipelines-2102.00921"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-generalization-bounds-for-stochastic-gradient-descent-2102.00931</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-generalization-bounds-for-stochastic-gradient-descent-2102.00931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-generalization-bounds-for-stochastic-gradient-descent-2102.00931"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-with-negative-learning-rates-2102.00940</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-with-negative-learning-rates-2102.00940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-with-negative-learning-rates-2102.00940"/></url>
<url><loc>https://scifaro.com/en/abs/risk-aware-and-multi-objective-decision-making-with-distributional-monte-carlo-tree-search-2102.00966</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-aware-and-multi-objective-decision-making-with-distributional-monte-carlo-tree-search-2102.00966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-aware-and-multi-objective-decision-making-with-distributional-monte-carlo-tree-search-2102.00966"/></url>
<url><loc>https://scifaro.com/en/abs/impossible-tuning-made-possible-a-new-expert-algorithm-and-its-applications-2102.01046</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impossible-tuning-made-possible-a-new-expert-algorithm-and-its-applications-2102.01046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impossible-tuning-made-possible-a-new-expert-algorithm-and-its-applications-2102.01046"/></url>
<url><loc>https://scifaro.com/en/abs/sgd-generalizes-better-than-gd-and-regularization-doesn-t-help-2102.01117</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgd-generalizes-better-than-gd-and-regularization-doesn-t-help-2102.01117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgd-generalizes-better-than-gd-and-regularization-doesn-t-help-2102.01117"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-hundreds-of-machine-learning-classifiers-and-discrete-choice-models-in-predicting-travel-behavior-an-empirical-benchmark-2102.01130</loc><lastmod>2025-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-hundreds-of-machine-learning-classifiers-and-discrete-choice-models-in-predicting-travel-behavior-an-empirical-benchmark-2102.01130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-hundreds-of-machine-learning-classifiers-and-discrete-choice-models-in-predicting-travel-behavior-an-empirical-benchmark-2102.01130"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-prediction-for-mechanical-ventilation-in-covid-19-patients-using-a-multi-task-gaussian-process-multi-objective-self-attention-network-2102.01147</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-prediction-for-mechanical-ventilation-in-covid-19-patients-using-a-multi-task-gaussian-process-multi-objective-self-attention-network-2102.01147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-prediction-for-mechanical-ventilation-in-covid-19-patients-using-a-multi-task-gaussian-process-multi-objective-self-attention-network-2102.01147"/></url>
<url><loc>https://scifaro.com/en/abs/system-reliability-based-multi-ensemble-of-gan-and-one-class-joint-gaussian-distributions-for-unsupervised-real-time-structural-health-monitoring-2102.01158</loc><lastmod>2022-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/system-reliability-based-multi-ensemble-of-gan-and-one-class-joint-gaussian-distributions-for-unsupervised-real-time-structural-health-monitoring-2102.01158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/system-reliability-based-multi-ensemble-of-gan-and-one-class-joint-gaussian-distributions-for-unsupervised-real-time-structural-health-monitoring-2102.01158"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-selective-key-applications-in-power-systems-recent-advances-and-future-challenges-2102.01168</loc><lastmod>2022-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-selective-key-applications-in-power-systems-recent-advances-and-future-challenges-2102.01168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-selective-key-applications-in-power-systems-recent-advances-and-future-challenges-2102.01168"/></url>
<url><loc>https://scifaro.com/en/abs/multi-modal-ensemble-models-for-predicting-video-memorability-2102.01173</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-modal-ensemble-models-for-predicting-video-memorability-2102.01173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-modal-ensemble-models-for-predicting-video-memorability-2102.01173"/></url>
<url><loc>https://scifaro.com/en/abs/graphdf-a-discrete-flow-model-for-molecular-graph-generation-2102.01189</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphdf-a-discrete-flow-model-for-molecular-graph-generation-2102.01189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphdf-a-discrete-flow-model-for-molecular-graph-generation-2102.01189"/></url>
<url><loc>https://scifaro.com/en/abs/fast-training-of-provably-robust-neural-networks-by-singleprop-2102.01208</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-training-of-provably-robust-neural-networks-by-singleprop-2102.01208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-training-of-provably-robust-neural-networks-by-singleprop-2102.01208"/></url>
<url><loc>https://scifaro.com/en/abs/tinyml-for-ubiquitous-edge-ai-2102.01255</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tinyml-for-ubiquitous-edge-ai-2102.01255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tinyml-for-ubiquitous-edge-ai-2102.01255"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-the-interpretability-of-generative-models-by-interactive-reconstruction-2102.01264</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-the-interpretability-of-generative-models-by-interactive-reconstruction-2102.01264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-the-interpretability-of-generative-models-by-interactive-reconstruction-2102.01264"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-student-performance-using-data-from-an-auto-grading-system-2102.01270</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-student-performance-using-data-from-an-auto-grading-system-2102.01270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-student-performance-using-data-from-an-auto-grading-system-2102.01270"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-laws-for-transfer-2102.01293</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-laws-for-transfer-2102.01293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-laws-for-transfer-2102.01293"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-probabilistic-boolean-network-models-of-smart-grid-devices-2102.01297</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-probabilistic-boolean-network-models-of-smart-grid-devices-2102.01297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-probabilistic-boolean-network-models-of-smart-grid-devices-2102.01297"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-of-time-series-with-smoothness-inducing-sequential-variational-auto-encoder-2102.01331</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-of-time-series-with-smoothness-inducing-sequential-variational-auto-encoder-2102.01331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-of-time-series-with-smoothness-inducing-sequential-variational-auto-encoder-2102.01331"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-trust-intervals-for-out-of-distribution-detection-2102.01336</loc><lastmod>2024-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-trust-intervals-for-out-of-distribution-detection-2102.01336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-trust-intervals-for-out-of-distribution-detection-2102.01336"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-quantized-neural-networks-on-fpgas-with-finn-2102.01341</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-quantized-neural-networks-on-fpgas-with-finn-2102.01341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-quantized-neural-networks-on-fpgas-with-finn-2102.01341"/></url>
<url><loc>https://scifaro.com/en/abs/bit-error-tolerance-metrics-for-binarized-neural-networks-2102.01344</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bit-error-tolerance-metrics-for-binarized-neural-networks-2102.01344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bit-error-tolerance-metrics-for-binarized-neural-networks-2102.01344"/></url>
<url><loc>https://scifaro.com/en/abs/fast-exploration-of-weight-sharing-opportunities-for-cnn-compression-2102.01345</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-exploration-of-weight-sharing-opportunities-for-cnn-compression-2102.01345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-exploration-of-weight-sharing-opportunities-for-cnn-compression-2102.01345"/></url>
<url><loc>https://scifaro.com/en/abs/graph-coarsening-with-neural-networks-2102.01350</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-coarsening-with-neural-networks-2102.01350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-coarsening-with-neural-networks-2102.01350"/></url>
<url><loc>https://scifaro.com/en/abs/mining-feature-relationships-in-data-2102.01355</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-feature-relationships-in-data-2102.01355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-feature-relationships-in-data-2102.01355"/></url>
<url><loc>https://scifaro.com/en/abs/recent-advances-in-adversarial-training-for-adversarial-robustness-2102.01356</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recent-advances-in-adversarial-training-for-adversarial-robustness-2102.01356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recent-advances-in-adversarial-training-for-adversarial-robustness-2102.01356"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-iot-and-weather-conditions-to-estimate-the-riders-waiting-for-the-bus-transit-on-campus-2102.01364</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-iot-and-weather-conditions-to-estimate-the-riders-waiting-for-the-bus-transit-on-campus-2102.01364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-iot-and-weather-conditions-to-estimate-the-riders-waiting-for-the-bus-transit-on-campus-2102.01364"/></url>
<url><loc>https://scifaro.com/en/abs/applications-of-federated-learning-in-smart-cities-recent-advances-taxonomy-and-open-challenges-2102.01375</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applications-of-federated-learning-in-smart-cities-recent-advances-taxonomy-and-open-challenges-2102.01375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applications-of-federated-learning-in-smart-cities-recent-advances-taxonomy-and-open-challenges-2102.01375"/></url>
<url><loc>https://scifaro.com/en/abs/stability-constrained-markov-decision-processes-using-mpc-2102.01383</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-constrained-markov-decision-processes-using-mpc-2102.01383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-constrained-markov-decision-processes-using-mpc-2102.01383"/></url>
<url><loc>https://scifaro.com/en/abs/autofreeze-automatically-freezing-model-blocks-to-accelerate-fine-tuning-2102.01386</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autofreeze-automatically-freezing-model-blocks-to-accelerate-fine-tuning-2102.01386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autofreeze-automatically-freezing-model-blocks-to-accelerate-fine-tuning-2102.01386"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-neural-networks-for-virtual-flow-metering-an-empirical-study-2102.01391</loc><lastmod>2022-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-neural-networks-for-virtual-flow-metering-an-empirical-study-2102.01391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-neural-networks-for-virtual-flow-metering-an-empirical-study-2102.01391"/></url>
<url><loc>https://scifaro.com/en/abs/it-s-always-personal-using-early-exits-for-efficient-on-device-cnn-personalisation-2102.01393</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/it-s-always-personal-using-early-exits-for-efficient-on-device-cnn-personalisation-2102.01393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/it-s-always-personal-using-early-exits-for-efficient-on-device-cnn-personalisation-2102.01393"/></url>
<url><loc>https://scifaro.com/en/abs/unassisted-noise-reduction-of-chemical-reaction-data-sets-2102.01399</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unassisted-noise-reduction-of-chemical-reaction-data-sets-2102.01399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unassisted-noise-reduction-of-chemical-reaction-data-sets-2102.01399"/></url>
<url><loc>https://scifaro.com/en/abs/aursad-universal-robot-screwdriving-anomaly-detection-dataset-2102.01409</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aursad-universal-robot-screwdriving-anomaly-detection-dataset-2102.01409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aursad-universal-robot-screwdriving-anomaly-detection-dataset-2102.01409"/></url>
<url><loc>https://scifaro.com/en/abs/graph-classification-based-on-skeleton-and-component-features-2102.01428</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-classification-based-on-skeleton-and-component-features-2102.01428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-classification-based-on-skeleton-and-component-features-2102.01428"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-time-until-a-vehicle-changes-the-lane-using-lstm-based-recurrent-neural-networks-2102.01431</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-time-until-a-vehicle-changes-the-lane-using-lstm-based-recurrent-neural-networks-2102.01431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-time-until-a-vehicle-changes-the-lane-using-lstm-based-recurrent-neural-networks-2102.01431"/></url>
<url><loc>https://scifaro.com/en/abs/drift-estimation-with-graphical-models-2102.01458</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drift-estimation-with-graphical-models-2102.01458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drift-estimation-with-graphical-models-2102.01458"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-experts-selection-using-graphical-models-2102.01496</loc><lastmod>2022-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-experts-selection-using-graphical-models-2102.01496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-experts-selection-using-graphical-models-2102.01496"/></url>
<url><loc>https://scifaro.com/en/abs/metrics-and-continuity-in-reinforcement-learning-2102.01514</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metrics-and-continuity-in-reinforcement-learning-2102.01514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metrics-and-continuity-in-reinforcement-learning-2102.01514"/></url>
<url><loc>https://scifaro.com/en/abs/guidance-on-the-assurance-of-machine-learning-in-autonomous-systems-amlas-2102.01564</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guidance-on-the-assurance-of-machine-learning-in-autonomous-systems-amlas-2102.01564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guidance-on-the-assurance-of-machine-learning-in-autonomous-systems-amlas-2102.01564"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-detection-of-uncalibrated-sensors-using-neural-networks-2102.01565</loc><lastmod>2022-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-detection-of-uncalibrated-sensors-using-neural-networks-2102.01565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-detection-of-uncalibrated-sensors-using-neural-networks-2102.01565"/></url>
<url><loc>https://scifaro.com/en/abs/a-lyapunov-theory-for-finite-sample-guarantees-of-asynchronous-q-learning-and-td-learning-variants-2102.01567</loc><lastmod>2023-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-lyapunov-theory-for-finite-sample-guarantees-of-asynchronous-q-learning-and-td-learning-variants-2102.01567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-lyapunov-theory-for-finite-sample-guarantees-of-asynchronous-q-learning-and-td-learning-variants-2102.01567"/></url>
<url><loc>https://scifaro.com/en/abs/symmetric-sparse-boolean-matrix-factorization-and-applications-2102.01570</loc><lastmod>2022-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetric-sparse-boolean-matrix-factorization-and-applications-2102.01570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetric-sparse-boolean-matrix-factorization-and-applications-2102.01570"/></url>
<url><loc>https://scifaro.com/en/abs/super-klust-another-way-of-piecewise-linear-classification-2102.01571</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/super-klust-another-way-of-piecewise-linear-classification-2102.01571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/super-klust-another-way-of-piecewise-linear-classification-2102.01571"/></url>
<url><loc>https://scifaro.com/en/abs/size-matters-2102.01582</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/size-matters-2102.01582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/size-matters-2102.01582"/></url>
<url><loc>https://scifaro.com/en/abs/the-min-max-complexity-of-distributed-stochastic-convex-optimization-with-intermittent-communication-2102.01583</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-min-max-complexity-of-distributed-stochastic-convex-optimization-with-intermittent-communication-2102.01583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-min-max-complexity-of-distributed-stochastic-convex-optimization-with-intermittent-communication-2102.01583"/></url>
<url><loc>https://scifaro.com/en/abs/fedzip-a-compression-framework-for-communication-efficient-federated-learning-2102.01593</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedzip-a-compression-framework-for-communication-efficient-federated-learning-2102.01593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedzip-a-compression-framework-for-communication-efficient-federated-learning-2102.01593"/></url>
<url><loc>https://scifaro.com/en/abs/structure-preserving-gaussian-process-dynamics-2102.01606</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-preserving-gaussian-process-dynamics-2102.01606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-preserving-gaussian-process-dynamics-2102.01606"/></url>
<url><loc>https://scifaro.com/en/abs/towards-multi-agent-reinforcement-learning-for-wireless-network-protocol-synthesis-2102.01611</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-multi-agent-reinforcement-learning-for-wireless-network-protocol-synthesis-2102.01611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-multi-agent-reinforcement-learning-for-wireless-network-protocol-synthesis-2102.01611"/></url>
<url><loc>https://scifaro.com/en/abs/depth-separation-beyond-radial-functions-2102.01621</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depth-separation-beyond-radial-functions-2102.01621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depth-separation-beyond-radial-functions-2102.01621"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-tracking-control-via-strongly-adaptive-online-learning-with-memory-2102.01623</loc><lastmod>2022-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-tracking-control-via-strongly-adaptive-online-learning-with-memory-2102.01623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-tracking-control-via-strongly-adaptive-online-learning-with-memory-2102.01623"/></url>
<url><loc>https://scifaro.com/en/abs/opam-online-purchasing-behavior-analysis-using-machine-learning-2102.01625</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opam-online-purchasing-behavior-analysis-using-machine-learning-2102.01625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opam-online-purchasing-behavior-analysis-using-machine-learning-2102.01625"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-simple-predictors-and-a-combinatorial-characterization-of-minimax-in-0-1-games-2102.01646</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-simple-predictors-and-a-combinatorial-characterization-of-minimax-in-0-1-games-2102.01646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-simple-predictors-and-a-combinatorial-characterization-of-minimax-in-0-1-games-2102.01646"/></url>
<url><loc>https://scifaro.com/en/abs/keep-the-gradients-flowing-using-gradient-flow-to-study-sparse-network-optimization-2102.01670</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/keep-the-gradients-flowing-using-gradient-flow-to-study-sparse-network-optimization-2102.01670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/keep-the-gradients-flowing-using-gradient-flow-to-study-sparse-network-optimization-2102.01670"/></url>
<url><loc>https://scifaro.com/en/abs/report-of-the-workshop-on-program-synthesis-for-scientific-computing-2102.01687</loc><lastmod>2021-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/report-of-the-workshop-on-program-synthesis-for-scientific-computing-2102.01687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/report-of-the-workshop-on-program-synthesis-for-scientific-computing-2102.01687"/></url>
<url><loc>https://scifaro.com/en/abs/apollo-transferable-architecture-exploration-2102.01723</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/apollo-transferable-architecture-exploration-2102.01723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/apollo-transferable-architecture-exploration-2102.01723"/></url>
<url><loc>https://scifaro.com/en/abs/truly-sparse-neural-networks-at-scale-2102.01732</loc><lastmod>2022-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truly-sparse-neural-networks-at-scale-2102.01732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truly-sparse-neural-networks-at-scale-2102.01732"/></url>
<url><loc>https://scifaro.com/en/abs/fedprof-selective-federated-learning-with-representation-profiling-2102.01733</loc><lastmod>2022-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedprof-selective-federated-learning-with-representation-profiling-2102.01733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedprof-selective-federated-learning-with-representation-profiling-2102.01733"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-offline-reinforcement-learning-via-double-variance-reduction-2102.01748</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-offline-reinforcement-learning-via-double-variance-reduction-2102.01748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-offline-reinforcement-learning-via-double-variance-reduction-2102.01748"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-wasserstein-2-barycenter-estimation-without-minimax-optimization-2102.01752</loc><lastmod>2022-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-wasserstein-2-barycenter-estimation-without-minimax-optimization-2102.01752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-wasserstein-2-barycenter-estimation-without-minimax-optimization-2102.01752"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-network-for-moonboard-climbing-route-classification-and-generation-2102.01788</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-network-for-moonboard-climbing-route-classification-and-generation-2102.01788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-network-for-moonboard-climbing-route-classification-and-generation-2102.01788"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-understanding-visualizations-and-explanation-of-deep-neural-networks-2102.01792</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-understanding-visualizations-and-explanation-of-deep-neural-networks-2102.01792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-understanding-visualizations-and-explanation-of-deep-neural-networks-2102.01792"/></url>
<url><loc>https://scifaro.com/en/abs/organization-of-a-latent-space-structure-in-vae-gan-trained-by-navigation-data-2102.01852</loc><lastmod>2022-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/organization-of-a-latent-space-structure-in-vae-gan-trained-by-navigation-data-2102.01852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/organization-of-a-latent-space-structure-in-vae-gan-trained-by-navigation-data-2102.01852"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-neural-networks-via-close-loop-control-2102.01862</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-neural-networks-via-close-loop-control-2102.01862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-neural-networks-via-close-loop-control-2102.01862"/></url>
<url><loc>https://scifaro.com/en/abs/impact-of-data-processing-on-fairness-in-supervised-learning-2102.01867</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impact-of-data-processing-on-fairness-in-supervised-learning-2102.01867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impact-of-data-processing-on-fairness-in-supervised-learning-2102.01867"/></url>
<url><loc>https://scifaro.com/en/abs/ahar-adaptive-cnn-for-energy-efficient-human-activity-recognition-in-low-power-edge-devices-2102.01875</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ahar-adaptive-cnn-for-energy-efficient-human-activity-recognition-in-low-power-edge-devices-2102.01875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ahar-adaptive-cnn-for-energy-efficient-human-activity-recognition-in-low-power-edge-devices-2102.01875"/></url>
<url><loc>https://scifaro.com/en/abs/learning-diverse-structured-networks-for-adversarial-robustness-2102.01886</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-diverse-structured-networks-for-adversarial-robustness-2102.01886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-diverse-structured-networks-for-adversarial-robustness-2102.01886"/></url>
<url><loc>https://scifaro.com/en/abs/multi-instance-learning-by-utilizing-structural-relationship-among-instances-2102.01889</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-instance-learning-by-utilizing-structural-relationship-among-instances-2102.01889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-instance-learning-by-utilizing-structural-relationship-among-instances-2102.01889"/></url>
<url><loc>https://scifaro.com/en/abs/do-not-forget-to-attend-to-uncertainty-while-mitigating-catastrophic-forgetting-2102.01906</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-not-forget-to-attend-to-uncertainty-while-mitigating-catastrophic-forgetting-2102.01906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-not-forget-to-attend-to-uncertainty-while-mitigating-catastrophic-forgetting-2102.01906"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-federated-learning-framework-with-online-laplace-approximation-2102.01936</loc><lastmod>2023-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-federated-learning-framework-with-online-laplace-approximation-2102.01936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-federated-learning-framework-with-online-laplace-approximation-2102.01936"/></url>
<url><loc>https://scifaro.com/en/abs/local-critic-training-for-model-parallel-learning-of-deep-neural-networks-2102.01963</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-critic-training-for-model-parallel-learning-of-deep-neural-networks-2102.01963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-critic-training-for-model-parallel-learning-of-deep-neural-networks-2102.01963"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-neural-network-based-on-dropout-regulation-2102.01968</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-neural-network-based-on-dropout-regulation-2102.01968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-neural-network-based-on-dropout-regulation-2102.01968"/></url>
<url><loc>https://scifaro.com/en/abs/key-technology-considerations-in-developing-and-deploying-machine-learning-models-in-clinical-radiology-practice-2102.01979</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/key-technology-considerations-in-developing-and-deploying-machine-learning-models-in-clinical-radiology-practice-2102.01979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/key-technology-considerations-in-developing-and-deploying-machine-learning-models-in-clinical-radiology-practice-2102.01979"/></url>
<url><loc>https://scifaro.com/en/abs/variance-penalized-on-policy-and-off-policy-actor-critic-2102.01985</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-penalized-on-policy-and-off-policy-actor-critic-2102.01985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-penalized-on-policy-and-off-policy-actor-critic-2102.01985"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graph-representations-2102.02026</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graph-representations-2102.02026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graph-representations-2102.02026"/></url>
<url><loc>https://scifaro.com/en/abs/on-query-efficient-planning-in-mdps-under-linear-realizability-of-the-optimal-state-value-function-2102.02049</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-query-efficient-planning-in-mdps-under-linear-realizability-of-the-optimal-state-value-function-2102.02049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-query-efficient-planning-in-mdps-under-linear-realizability-of-the-optimal-state-value-function-2102.02049"/></url>
<url><loc>https://scifaro.com/en/abs/trusted-multi-view-classification-2102.02051</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trusted-multi-view-classification-2102.02051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trusted-multi-view-classification-2102.02051"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-on-non-iid-data-silos-an-experimental-study-2102.02079</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-on-non-iid-data-silos-an-experimental-study-2102.02079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-on-non-iid-data-silos-an-experimental-study-2102.02079"/></url>
<url><loc>https://scifaro.com/en/abs/parafac2-ao-admm-constraints-in-all-modes-2102.02087</loc><lastmod>2023-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parafac2-ao-admm-constraints-in-all-modes-2102.02087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parafac2-ao-admm-constraints-in-all-modes-2102.02087"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-critical-risk-factors-in-liver-cancer-prediction-2102.02088</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-critical-risk-factors-in-liver-cancer-prediction-2102.02088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-critical-risk-factors-in-liver-cancer-prediction-2102.02088"/></url>
<url><loc>https://scifaro.com/en/abs/uncertain-time-series-classification-with-shapelet-transform-2102.02090</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertain-time-series-classification-with-shapelet-transform-2102.02090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertain-time-series-classification-with-shapelet-transform-2102.02090"/></url>
<url><loc>https://scifaro.com/en/abs/iwa-integrated-gradient-based-white-box-attacks-for-fooling-deep-neural-networks-2102.02128</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iwa-integrated-gradient-based-white-box-attacks-for-fooling-deep-neural-networks-2102.02128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iwa-integrated-gradient-based-white-box-attacks-for-fooling-deep-neural-networks-2102.02128"/></url>
<url><loc>https://scifaro.com/en/abs/befair-addressing-fairness-in-the-banking-sector-2102.02137</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/befair-addressing-fairness-in-the-banking-sector-2102.02137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/befair-addressing-fairness-in-the-banking-sector-2102.02137"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-robust-learning-with-unknown-perturbation-sets-2102.02145</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-robust-learning-with-unknown-perturbation-sets-2102.02145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-robust-learning-with-unknown-perturbation-sets-2102.02145"/></url>
<url><loc>https://scifaro.com/en/abs/fast-concept-mapping-the-emergence-of-human-abilities-in-artificial-neural-networks-when-learning-embodied-and-self-supervised-2102.02153</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-concept-mapping-the-emergence-of-human-abilities-in-artificial-neural-networks-when-learning-embodied-and-self-supervised-2102.02153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-concept-mapping-the-emergence-of-human-abilities-in-artificial-neural-networks-when-learning-embodied-and-self-supervised-2102.02153"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-instabilities-of-accelerated-gradient-descent-2102.02167</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-instabilities-of-accelerated-gradient-descent-2102.02167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-instabilities-of-accelerated-gradient-descent-2102.02167"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-robust-learning-of-ising-models-under-dobrushin-s-condition-2102.02171</loc><lastmod>2021-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-robust-learning-of-ising-models-under-dobrushin-s-condition-2102.02171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-robust-learning-of-ising-models-under-dobrushin-s-condition-2102.02171"/></url>
<url><loc>https://scifaro.com/en/abs/embodied-intelligence-via-learning-and-evolution-2102.02202</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embodied-intelligence-via-learning-and-evolution-2102.02202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embodied-intelligence-via-learning-and-evolution-2102.02202"/></url>
<url><loc>https://scifaro.com/en/abs/neural-recursive-belief-states-in-multi-agent-reinforcement-learning-2102.02274</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-recursive-belief-states-in-multi-agent-reinforcement-learning-2102.02274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-recursive-belief-states-in-multi-agent-reinforcement-learning-2102.02274"/></url>
<url><loc>https://scifaro.com/en/abs/nearest-neighbor-based-importance-weighting-2102.02291</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearest-neighbor-based-importance-weighting-2102.02291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearest-neighbor-based-importance-weighting-2102.02291"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-probability-distribution-of-bus-travel-time-to-move-towards-reliable-planning-of-public-transport-services-2102.02292</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-probability-distribution-of-bus-travel-time-to-move-towards-reliable-planning-of-public-transport-services-2102.02292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-probability-distribution-of-bus-travel-time-to-move-towards-reliable-planning-of-public-transport-services-2102.02292"/></url>
<url><loc>https://scifaro.com/en/abs/cleora-a-simple-strong-and-scalable-graph-embedding-scheme-2102.02302</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cleora-a-simple-strong-and-scalable-graph-embedding-scheme-2102.02302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cleora-a-simple-strong-and-scalable-graph-embedding-scheme-2102.02302"/></url>
<url><loc>https://scifaro.com/en/abs/query-complexity-of-least-absolute-deviation-regression-via-robust-uniform-convergence-2102.02322</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/query-complexity-of-least-absolute-deviation-regression-via-robust-uniform-convergence-2102.02322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/query-complexity-of-least-absolute-deviation-regression-via-robust-uniform-convergence-2102.02322"/></url>
<url><loc>https://scifaro.com/en/abs/effects-of-number-of-filters-of-convolutional-layers-on-speech-recognition-model-accuracy-2102.02326</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effects-of-number-of-filters-of-convolutional-layers-on-speech-recognition-model-accuracy-2102.02326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effects-of-number-of-filters-of-convolutional-layers-on-speech-recognition-model-accuracy-2102.02326"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-financial-products-and-their-supply-chains-2102.02329</loc><lastmod>2022-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-financial-products-and-their-supply-chains-2102.02329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-financial-products-and-their-supply-chains-2102.02329"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-approximation-power-of-two-layer-networks-of-random-relus-2102.02336</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-approximation-power-of-two-layer-networks-of-random-relus-2102.02336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-approximation-power-of-two-layer-networks-of-random-relus-2102.02336"/></url>
<url><loc>https://scifaro.com/en/abs/mufasa-multimodal-fusion-architecture-search-for-electronic-health-records-2102.02340</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mufasa-multimodal-fusion-architecture-search-for-electronic-health-records-2102.02340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mufasa-multimodal-fusion-architecture-search-for-electronic-health-records-2102.02340"/></url>
<url><loc>https://scifaro.com/en/abs/horizontally-fused-training-array-an-effective-hardware-utilization-squeezer-for-training-novel-deep-learning-models-2102.02344</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/horizontally-fused-training-array-an-effective-hardware-utilization-squeezer-for-training-novel-deep-learning-models-2102.02344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/horizontally-fused-training-array-an-effective-hardware-utilization-squeezer-for-training-novel-deep-learning-models-2102.02344"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-in-combinatorial-spaces-with-survae-flow-augmented-mcmc-2102.02374</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-in-combinatorial-spaces-with-survae-flow-augmented-mcmc-2102.02374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-in-combinatorial-spaces-with-survae-flow-augmented-mcmc-2102.02374"/></url>
<url><loc>https://scifaro.com/en/abs/provably-end-to-end-label-noise-learning-without-anchor-points-2102.02400</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-end-to-end-label-noise-learning-without-anchor-points-2102.02400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-end-to-end-label-noise-learning-without-anchor-points-2102.02400"/></url>
<url><loc>https://scifaro.com/en/abs/a-local-convergence-theory-for-mildly-over-parameterized-two-layer-neural-network-2102.02410</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-local-convergence-theory-for-mildly-over-parameterized-two-layer-neural-network-2102.02410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-local-convergence-theory-for-mildly-over-parameterized-two-layer-neural-network-2102.02410"/></url>
<url><loc>https://scifaro.com/en/abs/graph-coding-for-model-selection-and-anomaly-detection-in-gaussian-graphical-models-2102.02431</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-coding-for-model-selection-and-anomaly-detection-in-gaussian-graphical-models-2102.02431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-coding-for-model-selection-and-anomaly-detection-in-gaussian-graphical-models-2102.02431"/></url>
<url><loc>https://scifaro.com/en/abs/the-analysis-from-nonlinear-distance-metric-to-kernel-based-drug-prescription-prediction-system-2102.02446</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-analysis-from-nonlinear-distance-metric-to-kernel-based-drug-prescription-prediction-system-2102.02446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-analysis-from-nonlinear-distance-metric-to-kernel-based-drug-prescription-prediction-system-2102.02446"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-beyond-demonstrator-via-meta-learning-based-reward-extrapolation-2102.02454</loc><lastmod>2022-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-beyond-demonstrator-via-meta-learning-based-reward-extrapolation-2102.02454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-beyond-demonstrator-via-meta-learning-based-reward-extrapolation-2102.02454"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-based-generalized-model-for-finite-element-analysis-of-roll-deflection-during-the-austenitic-stainless-steel-316l-strip-rolling-2102.02470</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-based-generalized-model-for-finite-element-analysis-of-roll-deflection-during-the-austenitic-stainless-steel-316l-strip-rolling-2102.02470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-based-generalized-model-for-finite-element-analysis-of-roll-deflection-during-the-austenitic-stainless-steel-316l-strip-rolling-2102.02470"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-in-bandits-with-latent-continuity-2102.02472</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-in-bandits-with-latent-continuity-2102.02472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-in-bandits-with-latent-continuity-2102.02472"/></url>
<url><loc>https://scifaro.com/en/abs/fedaux-leveraging-unlabeled-auxiliary-data-in-federated-learning-2102.02514</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedaux-leveraging-unlabeled-auxiliary-data-in-federated-learning-2102.02514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedaux-leveraging-unlabeled-auxiliary-data-in-federated-learning-2102.02514"/></url>
<url><loc>https://scifaro.com/en/abs/hydra-hypergradient-data-relevance-analysis-for-interpreting-deep-neural-networks-2102.02515</loc><lastmod>2025-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hydra-hypergradient-data-relevance-analysis-for-interpreting-deep-neural-networks-2102.02515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hydra-hypergradient-data-relevance-analysis-for-interpreting-deep-neural-networks-2102.02515"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-model-identification-system-exploits-the-modular-structure-of-a-bio-inspired-posture-control-model-for-humans-and-humanoids-2102.02536</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-model-identification-system-exploits-the-modular-structure-of-a-bio-inspired-posture-control-model-for-humans-and-humanoids-2102.02536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-model-identification-system-exploits-the-modular-structure-of-a-bio-inspired-posture-control-model-for-humans-and-humanoids-2102.02536"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-cascade-and-structural-modelling-of-ehrs-for-granular-readmission-prediction-2102.02586</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-cascade-and-structural-modelling-of-ehrs-for-granular-readmission-prediction-2102.02586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-cascade-and-structural-modelling-of-ehrs-for-granular-readmission-prediction-2102.02586"/></url>
<url><loc>https://scifaro.com/en/abs/lookup-subnet-based-spatial-graph-convolutional-neural-network-2102.02588</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lookup-subnet-based-spatial-graph-convolutional-neural-network-2102.02588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lookup-subnet-based-spatial-graph-convolutional-neural-network-2102.02588"/></url>
<url><loc>https://scifaro.com/en/abs/ckconv-continuous-kernel-convolution-for-sequential-data-2102.02611</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ckconv-continuous-kernel-convolution-for-sequential-data-2102.02611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ckconv-continuous-kernel-convolution-for-sequential-data-2102.02611"/></url>
<url><loc>https://scifaro.com/en/abs/optimised-one-class-classification-performance-2102.02618</loc><lastmod>2022-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimised-one-class-classification-performance-2102.02618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimised-one-class-classification-performance-2102.02618"/></url>
<url><loc>https://scifaro.com/en/abs/universal-approximation-theorems-of-fully-connected-binarized-neural-networks-2102.02631</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-approximation-theorems-of-fully-connected-binarized-neural-networks-2102.02631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-approximation-theorems-of-fully-connected-binarized-neural-networks-2102.02631"/></url>
<url><loc>https://scifaro.com/en/abs/big-data-analytics-applying-the-fusion-approach-of-multicriteria-decision-making-with-deep-learning-algorithms-2102.02637</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/big-data-analytics-applying-the-fusion-approach-of-multicriteria-decision-making-with-deep-learning-algorithms-2102.02637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/big-data-analytics-applying-the-fusion-approach-of-multicriteria-decision-making-with-deep-learning-algorithms-2102.02637"/></url>
<url><loc>https://scifaro.com/en/abs/autodidactic-neurosurgeon-collaborative-deep-inference-for-mobile-edge-intelligence-via-online-learning-2102.02638</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autodidactic-neurosurgeon-collaborative-deep-inference-for-mobile-edge-intelligence-via-online-learning-2102.02638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autodidactic-neurosurgeon-collaborative-deep-inference-for-mobile-edge-intelligence-via-online-learning-2102.02638"/></url>
<url><loc>https://scifaro.com/en/abs/improving-reinforcement-learning-with-human-assistance-an-argument-for-human-subject-studies-with-hippo-gym-2102.02639</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-reinforcement-learning-with-human-assistance-an-argument-for-human-subject-studies-with-hippo-gym-2102.02639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-reinforcement-learning-with-human-assistance-an-argument-for-human-subject-studies-with-hippo-gym-2102.02639"/></url>
<url><loc>https://scifaro.com/en/abs/pick-the-right-edge-device-towards-power-and-performance-estimation-of-cuda-based-cnns-on-gpgpus-2102.02645</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pick-the-right-edge-device-towards-power-and-performance-estimation-of-cuda-based-cnns-on-gpgpus-2102.02645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pick-the-right-edge-device-towards-power-and-performance-estimation-of-cuda-based-cnns-on-gpgpus-2102.02645"/></url>
<url><loc>https://scifaro.com/en/abs/digital-twins-based-on-bidirectional-lstm-and-gan-for-modelling-the-covid-19-pandemic-2102.02664</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/digital-twins-based-on-bidirectional-lstm-and-gan-for-modelling-the-covid-19-pandemic-2102.02664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/digital-twins-based-on-bidirectional-lstm-and-gan-for-modelling-the-covid-19-pandemic-2102.02664"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-consistency-and-plausibility-verification-of-product-data-according-to-fic-2102.02665</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-consistency-and-plausibility-verification-of-product-data-according-to-fic-2102.02665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-consistency-and-plausibility-verification-of-product-data-according-to-fic-2102.02665"/></url>
<url><loc>https://scifaro.com/en/abs/disease-prediction-with-a-maximum-entropy-method-2102.02668</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disease-prediction-with-a-maximum-entropy-method-2102.02668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disease-prediction-with-a-maximum-entropy-method-2102.02668"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-aware-weakly-supervised-metric-learning-with-self-weighting-triplet-loss-2102.02670</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-aware-weakly-supervised-metric-learning-with-self-weighting-triplet-loss-2102.02670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-aware-weakly-supervised-metric-learning-with-self-weighting-triplet-loss-2102.02670"/></url>
<url><loc>https://scifaro.com/en/abs/directive-explanations-for-actionable-explainability-in-machine-learning-applications-2102.02671</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directive-explanations-for-actionable-explainability-in-machine-learning-applications-2102.02671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directive-explanations-for-actionable-explainability-in-machine-learning-applications-2102.02671"/></url>
<url><loc>https://scifaro.com/en/abs/efloat-entropy-coded-floating-point-format-for-compressing-vector-embedding-models-2102.02705</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efloat-entropy-coded-floating-point-format-for-compressing-vector-embedding-models-2102.02705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efloat-entropy-coded-floating-point-format-for-compressing-vector-embedding-models-2102.02705"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-and-defenses-in-physiological-computing-a-systematic-review-2102.02729</loc><lastmod>2024-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-and-defenses-in-physiological-computing-a-systematic-review-2102.02729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-and-defenses-in-physiological-computing-a-systematic-review-2102.02729"/></url>
<url><loc>https://scifaro.com/en/abs/hawkes-processes-on-graphons-2102.02741</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hawkes-processes-on-graphons-2102.02741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hawkes-processes-on-graphons-2102.02741"/></url>
<url><loc>https://scifaro.com/en/abs/instance-based-learning-using-the-half-space-proximal-graph-2102.02755</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-based-learning-using-the-half-space-proximal-graph-2102.02755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-based-learning-using-the-half-space-proximal-graph-2102.02755"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-computational-and-statistical-complexity-of-over-parameterized-matrix-sensing-2102.02756</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-computational-and-statistical-complexity-of-over-parameterized-matrix-sensing-2102.02756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-computational-and-statistical-complexity-of-over-parameterized-matrix-sensing-2102.02756"/></url>
<url><loc>https://scifaro.com/en/abs/disambiguation-of-weak-supervision-with-exponential-convergence-rates-2102.02789</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disambiguation-of-weak-supervision-with-exponential-convergence-rates-2102.02789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disambiguation-of-weak-supervision-with-exponential-convergence-rates-2102.02789"/></url>
<url><loc>https://scifaro.com/en/abs/recol-reconstruction-error-columns-for-outlier-detection-2102.02791</loc><lastmod>2021-02-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recol-reconstruction-error-columns-for-outlier-detection-2102.02791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recol-reconstruction-error-columns-for-outlier-detection-2102.02791"/></url>
<url><loc>https://scifaro.com/en/abs/how-do-quadratic-regularizers-prevent-catastrophic-forgetting-the-role-of-interpolation-2102.02805</loc><lastmod>2022-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-do-quadratic-regularizers-prevent-catastrophic-forgetting-the-role-of-interpolation-2102.02805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-do-quadratic-regularizers-prevent-catastrophic-forgetting-the-role-of-interpolation-2102.02805"/></url>
<url><loc>https://scifaro.com/en/abs/escaping-saddle-points-for-nonsmooth-weakly-convex-functions-via-perturbed-proximal-algorithms-2102.02837</loc><lastmod>2025-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/escaping-saddle-points-for-nonsmooth-weakly-convex-functions-via-perturbed-proximal-algorithms-2102.02837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/escaping-saddle-points-for-nonsmooth-weakly-convex-functions-via-perturbed-proximal-algorithms-2102.02837"/></url>
<url><loc>https://scifaro.com/en/abs/the-epibench-platform-to-propel-ai-ml-based-epidemic-forecasting-a-prototype-demonstration-reaching-human-expert-level-performance-2102.02842</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-epibench-platform-to-propel-ai-ml-based-epidemic-forecasting-a-prototype-demonstration-reaching-human-expert-level-performance-2102.02842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-epibench-platform-to-propel-ai-ml-based-epidemic-forecasting-a-prototype-demonstration-reaching-human-expert-level-performance-2102.02842"/></url>
<url><loc>https://scifaro.com/en/abs/semi-synchronous-federated-learning-for-energy-efficient-training-and-accelerated-convergence-in-cross-silo-settings-2102.02849</loc><lastmod>2022-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-synchronous-federated-learning-for-energy-efficient-training-and-accelerated-convergence-in-cross-silo-settings-2102.02849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-synchronous-federated-learning-for-energy-efficient-training-and-accelerated-convergence-in-cross-silo-settings-2102.02849"/></url>
<url><loc>https://scifaro.com/en/abs/undecidability-of-underfitting-in-learning-algorithms-2102.02850</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/undecidability-of-underfitting-in-learning-algorithms-2102.02850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/undecidability-of-underfitting-in-learning-algorithms-2102.02850"/></url>
<url><loc>https://scifaro.com/en/abs/feedback-in-imitation-learning-the-three-regimes-of-covariate-shift-2102.02872</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feedback-in-imitation-learning-the-three-regimes-of-covariate-shift-2102.02872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feedback-in-imitation-learning-the-three-regimes-of-covariate-shift-2102.02872"/></url>
<url><loc>https://scifaro.com/en/abs/ivy-templated-deep-learning-for-inter-framework-portability-2102.02886</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ivy-templated-deep-learning-for-inter-framework-portability-2102.02886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ivy-templated-deep-learning-for-inter-framework-portability-2102.02886"/></url>
<url><loc>https://scifaro.com/en/abs/do-we-actually-need-dense-over-parameterization-in-time-over-parameterization-in-sparse-training-2102.02887</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-we-actually-need-dense-over-parameterization-in-time-over-parameterization-in-sparse-training-2102.02887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-we-actually-need-dense-over-parameterization-in-time-over-parameterization-in-sparse-training-2102.02887"/></url>
<url><loc>https://scifaro.com/en/abs/1-bit-adam-communication-efficient-large-scale-training-with-adam-s-convergence-speed-2102.02888</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/1-bit-adam-communication-efficient-large-scale-training-with-adam-s-convergence-speed-2102.02888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/1-bit-adam-communication-efficient-large-scale-training-with-adam-s-convergence-speed-2102.02888"/></url>
<url><loc>https://scifaro.com/en/abs/using-long-short-term-memory-lstm-and-internet-of-things-iot-for-localized-surface-temperature-forecasting-in-an-urban-environment-2102.02892</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-long-short-term-memory-lstm-and-internet-of-things-iot-for-localized-surface-temperature-forecasting-in-an-urban-environment-2102.02892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-long-short-term-memory-lstm-and-internet-of-things-iot-for-localized-surface-temperature-forecasting-in-an-urban-environment-2102.02892"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-kinematic-wave-theory-into-a-deep-learning-method-for-high-resolution-traffic-speed-estimation-2102.02906</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-kinematic-wave-theory-into-a-deep-learning-method-for-high-resolution-traffic-speed-estimation-2102.02906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-kinematic-wave-theory-into-a-deep-learning-method-for-high-resolution-traffic-speed-estimation-2102.02906"/></url>
<url><loc>https://scifaro.com/en/abs/progressive-neural-image-compression-with-nested-quantization-and-latent-ordering-2102.02913</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progressive-neural-image-compression-with-nested-quantization-and-latent-ordering-2102.02913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progressive-neural-image-compression-with-nested-quantization-and-latent-ordering-2102.02913"/></url>
<url><loc>https://scifaro.com/en/abs/alchemy-a-benchmark-and-analysis-toolkit-for-meta-reinforcement-learning-agents-2102.02926</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alchemy-a-benchmark-and-analysis-toolkit-for-meta-reinforcement-learning-agents-2102.02926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alchemy-a-benchmark-and-analysis-toolkit-for-meta-reinforcement-learning-agents-2102.02926"/></url>
<url><loc>https://scifaro.com/en/abs/robust-adaptive-filtering-based-on-exponential-functional-link-network-2102.02952</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-adaptive-filtering-based-on-exponential-functional-link-network-2102.02952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-adaptive-filtering-based-on-exponential-functional-link-network-2102.02952"/></url>
<url><loc>https://scifaro.com/en/abs/sign-rip-a-robust-restricted-isometry-property-for-low-rank-matrix-recovery-2102.02969</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sign-rip-a-robust-restricted-isometry-property-for-low-rank-matrix-recovery-2102.02969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sign-rip-a-robust-restricted-isometry-property-for-low-rank-matrix-recovery-2102.02969"/></url>
<url><loc>https://scifaro.com/en/abs/show-attend-and-distill-knowledge-distillation-via-attention-based-feature-matching-2102.02973</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/show-attend-and-distill-knowledge-distillation-via-attention-based-feature-matching-2102.02973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/show-attend-and-distill-knowledge-distillation-via-attention-based-feature-matching-2102.02973"/></url>
<url><loc>https://scifaro.com/en/abs/finite-sample-analysis-of-minimax-offline-reinforcement-learning-completeness-fast-rates-and-first-order-efficiency-2102.02981</loc><lastmod>2022-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-sample-analysis-of-minimax-offline-reinforcement-learning-completeness-fast-rates-and-first-order-efficiency-2102.02981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-sample-analysis-of-minimax-offline-reinforcement-learning-completeness-fast-rates-and-first-order-efficiency-2102.02981"/></url>
<url><loc>https://scifaro.com/en/abs/learning-high-dimensional-wasserstein-geodesics-2102.02992</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-high-dimensional-wasserstein-geodesics-2102.02992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-high-dimensional-wasserstein-geodesics-2102.02992"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-memory-efficient-differentially-private-sgd-via-jl-projections-2102.03013</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-memory-efficient-differentially-private-sgd-via-jl-projections-2102.03013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-memory-efficient-differentially-private-sgd-via-jl-projections-2102.03013"/></url>
<url><loc>https://scifaro.com/en/abs/a-variational-information-bottleneck-approach-to-multi-omics-data-integration-2102.03014</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variational-information-bottleneck-approach-to-multi-omics-data-integration-2102.03014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variational-information-bottleneck-approach-to-multi-omics-data-integration-2102.03014"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-deep-learning-in-systemml-using-layer-wise-adaptive-rate-scaling-lars-optimizer-2102.03018</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-deep-learning-in-systemml-using-layer-wise-adaptive-rate-scaling-lars-optimizer-2102.03018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-deep-learning-in-systemml-using-layer-wise-adaptive-rate-scaling-lars-optimizer-2102.03018"/></url>
<url><loc>https://scifaro.com/en/abs/deceptive-reinforcement-learning-for-privacy-preserving-planning-2102.03022</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deceptive-reinforcement-learning-for-privacy-preserving-planning-2102.03022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deceptive-reinforcement-learning-for-privacy-preserving-planning-2102.03022"/></url>
<url><loc>https://scifaro.com/en/abs/hyperparameter-optimization-is-deceiving-us-and-how-to-stop-it-2102.03034</loc><lastmod>2022-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperparameter-optimization-is-deceiving-us-and-how-to-stop-it-2102.03034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperparameter-optimization-is-deceiving-us-and-how-to-stop-it-2102.03034"/></url>
<url><loc>https://scifaro.com/en/abs/deal-decremental-energy-aware-learning-in-a-federated-system-2102.03051</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deal-decremental-energy-aware-learning-in-a-federated-system-2102.03051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deal-decremental-energy-aware-learning-in-a-federated-system-2102.03051"/></url>
<url><loc>https://scifaro.com/en/abs/removing-biased-data-to-improve-fairness-and-accuracy-2102.03054</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/removing-biased-data-to-improve-fairness-and-accuracy-2102.03054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/removing-biased-data-to-improve-fairness-and-accuracy-2102.03054"/></url>
<url><loc>https://scifaro.com/en/abs/co-mixup-saliency-guided-joint-mixup-with-supermodular-diversity-2102.03065</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-mixup-saliency-guided-joint-mixup-with-supermodular-diversity-2102.03065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-mixup-saliency-guided-joint-mixup-with-supermodular-diversity-2102.03065"/></url>
<url><loc>https://scifaro.com/en/abs/boost-ai-power-data-augmentation-strategies-with-unlabelled-data-and-conformal-prediction-a-case-in-alternative-herbal-medicine-discrimination-with-electronic-nose-2102.03088</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boost-ai-power-data-augmentation-strategies-with-unlabelled-data-and-conformal-prediction-a-case-in-alternative-herbal-medicine-discrimination-with-electronic-nose-2102.03088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boost-ai-power-data-augmentation-strategies-with-unlabelled-data-and-conformal-prediction-a-case-in-alternative-herbal-medicine-discrimination-with-electronic-nose-2102.03088"/></url>
<url><loc>https://scifaro.com/en/abs/deepreduce-a-sparse-tensor-communication-framework-for-distributed-deep-learning-2102.03112</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepreduce-a-sparse-tensor-communication-framework-for-distributed-deep-learning-2102.03112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepreduce-a-sparse-tensor-communication-framework-for-distributed-deep-learning-2102.03112"/></url>
<url><loc>https://scifaro.com/en/abs/integer-programming-for-causal-structure-learning-in-the-presence-of-latent-variables-2102.03129</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integer-programming-for-causal-structure-learning-in-the-presence-of-latent-variables-2102.03129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integer-programming-for-causal-structure-learning-in-the-presence-of-latent-variables-2102.03129"/></url>
<url><loc>https://scifaro.com/en/abs/learning-conjoint-attentions-for-graph-neural-nets-2102.03147</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-conjoint-attentions-for-graph-neural-nets-2102.03147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-conjoint-attentions-for-graph-neural-nets-2102.03147"/></url>
<url><loc>https://scifaro.com/en/abs/equivariant-message-passing-for-the-prediction-of-tensorial-properties-and-molecular-spectra-2102.03150</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivariant-message-passing-for-the-prediction-of-tensorial-properties-and-molecular-spectra-2102.03150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivariant-message-passing-for-the-prediction-of-tensorial-properties-and-molecular-spectra-2102.03150"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-the-amortization-gap-in-variational-autoencoders-a-bayesian-random-function-approach-2102.03151</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-the-amortization-gap-in-variational-autoencoders-a-bayesian-random-function-approach-2102.03151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-the-amortization-gap-in-variational-autoencoders-a-bayesian-random-function-approach-2102.03151"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-transport-as-a-defense-against-adversarial-attacks-2102.03156</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-transport-as-a-defense-against-adversarial-attacks-2102.03156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-transport-as-a-defense-against-adversarial-attacks-2102.03156"/></url>
<url><loc>https://scifaro.com/en/abs/active-slices-for-sliced-stein-discrepancy-2102.03159</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-slices-for-sliced-stein-discrepancy-2102.03159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-slices-for-sliced-stein-discrepancy-2102.03159"/></url>
<url><loc>https://scifaro.com/en/abs/pipetransformer-automated-elastic-pipelining-for-distributed-training-of-transformers-2102.03161</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pipetransformer-automated-elastic-pipelining-for-distributed-training-of-transformers-2102.03161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pipetransformer-automated-elastic-pipelining-for-distributed-training-of-transformers-2102.03161"/></url>
<url><loc>https://scifaro.com/en/abs/last-iterate-convergence-of-sgd-for-least-squares-in-the-interpolation-regime-2102.03183</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/last-iterate-convergence-of-sgd-for-least-squares-in-the-interpolation-regime-2102.03183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/last-iterate-convergence-of-sgd-for-least-squares-in-the-interpolation-regime-2102.03183"/></url>
<url><loc>https://scifaro.com/en/abs/a-simpler-spectral-approach-for-clustering-in-directed-networks-2102.03188</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simpler-spectral-approach-for-clustering-in-directed-networks-2102.03188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simpler-spectral-approach-for-clustering-in-directed-networks-2102.03188"/></url>
<url><loc>https://scifaro.com/en/abs/invertible-neural-networks-versus-mcmc-for-posterior-reconstruction-in-grazing-incidence-x-ray-fluorescence-2102.03189</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invertible-neural-networks-versus-mcmc-for-posterior-reconstruction-in-grazing-incidence-x-ray-fluorescence-2102.03189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invertible-neural-networks-versus-mcmc-for-posterior-reconstruction-in-grazing-incidence-x-ray-fluorescence-2102.03189"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-algorithms-for-multi-objective-competitive-rl-2102.03192</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-algorithms-for-multi-objective-competitive-rl-2102.03192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-algorithms-for-multi-objective-competitive-rl-2102.03192"/></url>
<url><loc>https://scifaro.com/en/abs/bias-variance-reduced-local-sgd-for-less-heterogeneous-federated-learning-2102.03198</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-variance-reduced-local-sgd-for-less-heterogeneous-federated-learning-2102.03198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-variance-reduced-local-sgd-for-less-heterogeneous-federated-learning-2102.03198"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-neural-networks-based-classifiers-for-categorical-inputs-2102.03202</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-neural-networks-based-classifiers-for-categorical-inputs-2102.03202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-neural-networks-based-classifiers-for-categorical-inputs-2102.03202"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-mathematical-aspects-of-machine-learning-in-geophysics-the-cases-of-weather-forecast-wind-energy-wave-energy-oil-and-gas-exploration-2102.03206</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-mathematical-aspects-of-machine-learning-in-geophysics-the-cases-of-weather-forecast-wind-energy-wave-energy-oil-and-gas-exploration-2102.03206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-mathematical-aspects-of-machine-learning-in-geophysics-the-cases-of-weather-forecast-wind-energy-wave-energy-oil-and-gas-exploration-2102.03206"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-decomposition-on-graphs-a-functional-view-2102.03233</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-decomposition-on-graphs-a-functional-view-2102.03233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-decomposition-on-graphs-a-functional-view-2102.03233"/></url>
<url><loc>https://scifaro.com/en/abs/exact-optimization-of-conformal-predictors-via-incremental-and-decremental-learning-2102.03236</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-optimization-of-conformal-predictors-via-incremental-and-decremental-learning-2102.03236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-optimization-of-conformal-predictors-via-incremental-and-decremental-learning-2102.03236"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-prioritized-experience-replay-a-value-perspective-2102.03261</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-prioritized-experience-replay-a-value-perspective-2102.03261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-prioritized-experience-replay-a-value-perspective-2102.03261"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-2-sinkhorn-divergence-between-gaussian-processes-from-finite-dimensional-marginals-2102.03267</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-2-sinkhorn-divergence-between-gaussian-processes-from-finite-dimensional-marginals-2102.03267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-2-sinkhorn-divergence-between-gaussian-processes-from-finite-dimensional-marginals-2102.03267"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sample-complexity-of-causal-discovery-and-the-value-of-domain-expertise-2102.03274</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-causal-discovery-and-the-value-of-domain-expertise-2102.03274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-causal-discovery-and-the-value-of-domain-expertise-2102.03274"/></url>
<url><loc>https://scifaro.com/en/abs/in-loop-meta-learning-with-gradient-alignment-reward-2102.03275</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-loop-meta-learning-with-gradient-alignment-reward-2102.03275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-loop-meta-learning-with-gradient-alignment-reward-2102.03275"/></url>
<url><loc>https://scifaro.com/en/abs/multi-sample-online-learning-for-spiking-neural-networks-based-on-generalized-expectation-maximization-2102.03280</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-sample-online-learning-for-spiking-neural-networks-based-on-generalized-expectation-maximization-2102.03280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-sample-online-learning-for-spiking-neural-networks-based-on-generalized-expectation-maximization-2102.03280"/></url>
<url><loc>https://scifaro.com/en/abs/categorical-data-as-a-stone-guest-in-a-data-science-project-for-predicting-defective-water-meters-2102.03284</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/categorical-data-as-a-stone-guest-in-a-data-science-project-for-predicting-defective-water-meters-2102.03284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/categorical-data-as-a-stone-guest-in-a-data-science-project-for-predicting-defective-water-meters-2102.03284"/></url>
<url><loc>https://scifaro.com/en/abs/baller2vec-a-multi-entity-transformer-for-multi-agent-spatiotemporal-modeling-2102.03291</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/baller2vec-a-multi-entity-transformer-for-multi-agent-spatiotemporal-modeling-2102.03291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/baller2vec-a-multi-entity-transformer-for-multi-agent-spatiotemporal-modeling-2102.03291"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-neural-networks-with-benford-s-law-2102.03313</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-neural-networks-with-benford-s-law-2102.03313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-neural-networks-with-benford-s-law-2102.03313"/></url>
<url><loc>https://scifaro.com/en/abs/cf-gnnexplainer-counterfactual-explanations-for-graph-neural-networks-2102.03322</loc><lastmod>2022-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cf-gnnexplainer-counterfactual-explanations-for-graph-neural-networks-2102.03322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cf-gnnexplainer-counterfactual-explanations-for-graph-neural-networks-2102.03322"/></url>
<url><loc>https://scifaro.com/en/abs/gibbon-general-purpose-information-based-bayesian-optimisation-2102.03324</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gibbon-general-purpose-information-based-bayesian-optimisation-2102.03324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gibbon-general-purpose-information-based-bayesian-optimisation-2102.03324"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-applications-on-neuroimaging-for-diagnosis-and-prognosis-of-epilepsy-a-review-2102.03336</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-applications-on-neuroimaging-for-diagnosis-and-prognosis-of-epilepsy-a-review-2102.03336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-applications-on-neuroimaging-for-diagnosis-and-prognosis-of-epilepsy-a-review-2102.03336"/></url>
<url><loc>https://scifaro.com/en/abs/nrtsi-non-recurrent-time-series-imputation-2102.03340</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nrtsi-non-recurrent-time-series-imputation-2102.03340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nrtsi-non-recurrent-time-series-imputation-2102.03340"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-reproducibility-of-neural-network-predictions-2102.03349</loc><lastmod>2021-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-reproducibility-of-neural-network-predictions-2102.03349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-reproducibility-of-neural-network-predictions-2102.03349"/></url>
<url><loc>https://scifaro.com/en/abs/robust-single-step-adversarial-training-with-regularizer-2102.03381</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-single-step-adversarial-training-with-regularizer-2102.03381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-single-step-adversarial-training-with-regularizer-2102.03381"/></url>
<url><loc>https://scifaro.com/en/abs/projection-robust-wasserstein-barycenters-2102.03390</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projection-robust-wasserstein-barycenters-2102.03390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projection-robust-wasserstein-barycenters-2102.03390"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-budget-matching-for-sequential-budgeted-learning-2102.03400</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-budget-matching-for-sequential-budgeted-learning-2102.03400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-budget-matching-for-sequential-budgeted-learning-2102.03400"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-in-precision-medicine-to-preserve-privacy-via-encryption-2102.03412</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-in-precision-medicine-to-preserve-privacy-via-encryption-2102.03412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-in-precision-medicine-to-preserve-privacy-via-encryption-2102.03412"/></url>
<url><loc>https://scifaro.com/en/abs/federated-reconstruction-partially-local-federated-learning-2102.03448</loc><lastmod>2022-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-reconstruction-partially-local-federated-learning-2102.03448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-reconstruction-partially-local-federated-learning-2102.03448"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-graph-neural-networks-for-graphs-with-missing-attributes-2102.03450</loc><lastmod>2022-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-graph-neural-networks-for-graphs-with-missing-attributes-2102.03450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-graph-neural-networks-for-graphs-with-missing-attributes-2102.03450"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-the-implementation-tricks-and-monotonicity-constraint-in-cooperative-multi-agent-reinforcement-learning-2102.03479</loc><lastmod>2023-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-the-implementation-tricks-and-monotonicity-constraint-in-cooperative-multi-agent-reinforcement-learning-2102.03479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-the-implementation-tricks-and-monotonicity-constraint-in-cooperative-multi-agent-reinforcement-learning-2102.03479"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-interaction-of-adversarial-training-with-noisy-labels-2102.03482</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-interaction-of-adversarial-training-with-noisy-labels-2102.03482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-interaction-of-adversarial-training-with-noisy-labels-2102.03482"/></url>
<url><loc>https://scifaro.com/en/abs/weight-rescaling-effective-and-robust-regularization-for-deep-neural-networks-with-batch-normalization-2102.03497</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weight-rescaling-effective-and-robust-regularization-for-deep-neural-networks-with-batch-normalization-2102.03497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weight-rescaling-effective-and-robust-regularization-for-deep-neural-networks-with-batch-normalization-2102.03497"/></url>
<url><loc>https://scifaro.com/en/abs/robust-normalizing-flows-using-bernstein-type-polynomials-2102.03509</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-normalizing-flows-using-bernstein-type-polynomials-2102.03509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-normalizing-flows-using-bernstein-type-polynomials-2102.03509"/></url>
<url><loc>https://scifaro.com/en/abs/open-world-semi-supervised-learning-2102.03526</loc><lastmod>2022-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-world-semi-supervised-learning-2102.03526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-world-semi-supervised-learning-2102.03526"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-inference-of-sparsely-changing-markov-random-fields-with-strong-statistical-guarantees-2102.03585</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-inference-of-sparsely-changing-markov-random-fields-with-strong-statistical-guarantees-2102.03585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-inference-of-sparsely-changing-markov-random-fields-with-strong-statistical-guarantees-2102.03585"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-higher-order-structures-in-evolving-graphs-a-simplicial-complex-based-kernel-estimation-approach-2102.03609</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-higher-order-structures-in-evolving-graphs-a-simplicial-complex-based-kernel-estimation-approach-2102.03609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-higher-order-structures-in-evolving-graphs-a-simplicial-complex-based-kernel-estimation-approach-2102.03609"/></url>
<url><loc>https://scifaro.com/en/abs/multi-tier-federated-learning-for-vertically-partitioned-data-2102.03620</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-tier-federated-learning-for-vertically-partitioned-data-2102.03620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-tier-federated-learning-for-vertically-partitioned-data-2102.03620"/></url>
<url><loc>https://scifaro.com/en/abs/deep-semi-supervised-learning-for-time-series-classification-2102.03622</loc><lastmod>2022-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-semi-supervised-learning-for-time-series-classification-2102.03622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-semi-supervised-learning-for-time-series-classification-2102.03622"/></url>
<url><loc>https://scifaro.com/en/abs/extremal-learning-extremizing-the-output-of-a-neural-network-in-regression-problems-2102.03626</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extremal-learning-extremizing-the-output-of-a-neural-network-in-regression-problems-2102.03626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extremal-learning-extremizing-the-output-of-a-neural-network-in-regression-problems-2102.03626"/></url>
<url><loc>https://scifaro.com/en/abs/neural-sdes-as-infinite-dimensional-gans-2102.03657</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-sdes-as-infinite-dimensional-gans-2102.03657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-sdes-as-infinite-dimensional-gans-2102.03657"/></url>
<url><loc>https://scifaro.com/en/abs/emergency-department-optimization-and-load-prediction-in-hospitals-2102.03672</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emergency-department-optimization-and-load-prediction-in-hospitals-2102.03672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emergency-department-optimization-and-load-prediction-in-hospitals-2102.03672"/></url>
<url><loc>https://scifaro.com/en/abs/what-s-in-a-name-gender-classification-of-names-with-character-based-machine-learning-models-2102.03692</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-s-in-a-name-gender-classification-of-names-with-character-based-machine-learning-models-2102.03692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-s-in-a-name-gender-classification-of-names-with-character-based-machine-learning-models-2102.03692"/></url>
<url><loc>https://scifaro.com/en/abs/classification-based-on-topological-data-analysis-2102.03709</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-based-on-topological-data-analysis-2102.03709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-based-on-topological-data-analysis-2102.03709"/></url>
<url><loc>https://scifaro.com/en/abs/spade-a-spectral-method-for-black-box-adversarial-robustness-evaluation-2102.03716</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spade-a-spectral-method-for-black-box-adversarial-robustness-evaluation-2102.03716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spade-a-spectral-method-for-black-box-adversarial-robustness-evaluation-2102.03716"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-fairness-in-classification-parity-of-machine-learning-models-in-healthcare-2102.03717</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-fairness-in-classification-parity-of-machine-learning-models-in-healthcare-2102.03717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-fairness-in-classification-parity-of-machine-learning-models-in-healthcare-2102.03717"/></url>
<url><loc>https://scifaro.com/en/abs/an-analysis-of-frame-skipping-in-reinforcement-learning-2102.03718</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analysis-of-frame-skipping-in-reinforcement-learning-2102.03718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analysis-of-frame-skipping-in-reinforcement-learning-2102.03718"/></url>
<url><loc>https://scifaro.com/en/abs/state-aware-variational-thompson-sampling-for-deep-q-networks-2102.03719</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-aware-variational-thompson-sampling-for-deep-q-networks-2102.03719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-aware-variational-thompson-sampling-for-deep-q-networks-2102.03719"/></url>
<url><loc>https://scifaro.com/en/abs/regret-minimization-in-heavy-tailed-bandits-2102.03734</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-minimization-in-heavy-tailed-bandits-2102.03734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-minimization-in-heavy-tailed-bandits-2102.03734"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayes-bounds-for-meta-learning-with-data-dependent-prior-2102.03748</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayes-bounds-for-meta-learning-with-data-dependent-prior-2102.03748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayes-bounds-for-meta-learning-with-data-dependent-prior-2102.03748"/></url>
<url><loc>https://scifaro.com/en/abs/non-stationary-online-learning-with-memory-and-non-stochastic-control-2102.03758</loc><lastmod>2023-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-stationary-online-learning-with-memory-and-non-stochastic-control-2102.03758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-stationary-online-learning-with-memory-and-non-stochastic-control-2102.03758"/></url>
<url><loc>https://scifaro.com/en/abs/tactical-optimism-and-pessimism-for-deep-reinforcement-learning-2102.03765</loc><lastmod>2022-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tactical-optimism-and-pessimism-for-deep-reinforcement-learning-2102.03765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tactical-optimism-and-pessimism-for-deep-reinforcement-learning-2102.03765"/></url>
<url><loc>https://scifaro.com/en/abs/serene-sensitivity-based-regularization-of-neurons-for-structured-sparsity-in-neural-networks-2102.03773</loc><lastmod>2022-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/serene-sensitivity-based-regularization-of-neurons-for-structured-sparsity-in-neural-networks-2102.03773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/serene-sensitivity-based-regularization-of-neurons-for-structured-sparsity-in-neural-networks-2102.03773"/></url>
<url><loc>https://scifaro.com/en/abs/hyperparameter-optimization-with-differentiable-metafeatures-2102.03776</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperparameter-optimization-with-differentiable-metafeatures-2102.03776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperparameter-optimization-with-differentiable-metafeatures-2102.03776"/></url>
<url><loc>https://scifaro.com/en/abs/using-gaussian-processes-to-design-dynamic-experiments-for-black-box-model-discrimination-under-uncertainty-2102.03782</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-gaussian-processes-to-design-dynamic-experiments-for-black-box-model-discrimination-under-uncertainty-2102.03782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-gaussian-processes-to-design-dynamic-experiments-for-black-box-model-discrimination-under-uncertainty-2102.03782"/></url>
<url><loc>https://scifaro.com/en/abs/robust-explanations-for-private-support-vector-machines-2102.03785</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-explanations-for-private-support-vector-machines-2102.03785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-explanations-for-private-support-vector-machines-2102.03785"/></url>
<url><loc>https://scifaro.com/en/abs/tilting-the-playing-field-dynamical-loss-functions-for-machine-learning-2102.03793</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tilting-the-playing-field-dynamical-loss-functions-for-machine-learning-2102.03793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tilting-the-playing-field-dynamical-loss-functions-for-machine-learning-2102.03793"/></url>
<url><loc>https://scifaro.com/en/abs/a-self-adaptive-and-robust-fission-clustering-algorithm-via-heat-diffusion-and-maximal-turning-angle-2102.03794</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-self-adaptive-and-robust-fission-clustering-algorithm-via-heat-diffusion-and-maximal-turning-angle-2102.03794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-self-adaptive-and-robust-fission-clustering-algorithm-via-heat-diffusion-and-maximal-turning-angle-2102.03794"/></url>
<url><loc>https://scifaro.com/en/abs/online-limited-memory-neural-linear-bandits-with-likelihood-matching-2102.03799</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-limited-memory-neural-linear-bandits-with-likelihood-matching-2102.03799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-limited-memory-neural-linear-bandits-with-likelihood-matching-2102.03799"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-free-generalization-bounds-for-non-linear-metric-learning-2102.03802</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-free-generalization-bounds-for-non-linear-metric-learning-2102.03802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-free-generalization-bounds-for-non-linear-metric-learning-2102.03802"/></url>
<url><loc>https://scifaro.com/en/abs/lazy-oco-online-convex-optimization-on-a-switching-budget-2102.03803</loc><lastmod>2023-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lazy-oco-online-convex-optimization-on-a-switching-budget-2102.03803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lazy-oco-online-convex-optimization-on-a-switching-budget-2102.03803"/></url>
<url><loc>https://scifaro.com/en/abs/bandits-for-learning-to-explain-from-explanations-2102.03815</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandits-for-learning-to-explain-from-explanations-2102.03815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandits-for-learning-to-explain-from-explanations-2102.03815"/></url>
<url><loc>https://scifaro.com/en/abs/neural-termination-analysis-2102.03824</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-termination-analysis-2102.03824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-termination-analysis-2102.03824"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-of-model-agnostic-meta-learning-algorithms-recurring-and-unseen-tasks-2102.03832</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-of-model-agnostic-meta-learning-algorithms-recurring-and-unseen-tasks-2102.03832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-of-model-agnostic-meta-learning-algorithms-recurring-and-unseen-tasks-2102.03832"/></url>
<url><loc>https://scifaro.com/en/abs/model-augmented-q-learning-2102.03866</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-augmented-q-learning-2102.03866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-augmented-q-learning-2102.03866"/></url>
<url><loc>https://scifaro.com/en/abs/structured-sparsity-inducing-adaptive-optimizers-for-deep-learning-2102.03869</loc><lastmod>2023-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-sparsity-inducing-adaptive-optimizers-for-deep-learning-2102.03869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-sparsity-inducing-adaptive-optimizers-for-deep-learning-2102.03869"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-time-series-segmentation-using-prototype-defined-infinite-hidden-markov-models-2102.03885</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-time-series-segmentation-using-prototype-defined-infinite-hidden-markov-models-2102.03885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-time-series-segmentation-using-prototype-defined-infinite-hidden-markov-models-2102.03885"/></url>
<url><loc>https://scifaro.com/en/abs/opt-gan-a-broad-spectrum-global-optimizer-for-black-box-problems-by-learning-distribution-2102.03888</loc><lastmod>2023-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opt-gan-a-broad-spectrum-global-optimizer-for-black-box-problems-by-learning-distribution-2102.03888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opt-gan-a-broad-spectrum-global-optimizer-for-black-box-problems-by-learning-distribution-2102.03888"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-with-neural-tangent-kernels-2102.03909</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-with-neural-tangent-kernels-2102.03909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-with-neural-tangent-kernels-2102.03909"/></url>
<url><loc>https://scifaro.com/en/abs/sparsely-ensembled-convolutional-neural-network-classifiers-via-reinforcement-learning-2102.03921</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsely-ensembled-convolutional-neural-network-classifiers-via-reinforcement-learning-2102.03921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsely-ensembled-convolutional-neural-network-classifiers-via-reinforcement-learning-2102.03921"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adversarial-neural-networks-for-domain-generalization-when-it-works-and-how-to-improve-2102.03924</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adversarial-neural-networks-for-domain-generalization-when-it-works-and-how-to-improve-2102.03924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adversarial-neural-networks-for-domain-generalization-when-it-works-and-how-to-improve-2102.03924"/></url>
<url><loc>https://scifaro.com/en/abs/lower-bounds-and-accelerated-algorithms-for-bilevel-optimization-2102.03926</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lower-bounds-and-accelerated-algorithms-for-bilevel-optimization-2102.03926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lower-bounds-and-accelerated-algorithms-for-bilevel-optimization-2102.03926"/></url>
<url><loc>https://scifaro.com/en/abs/additive-feature-hashing-2102.03943</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/additive-feature-hashing-2102.03943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/additive-feature-hashing-2102.03943"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-residual-neural-decoder-towards-low-complexity-high-performance-channel-decoding-2102.03959</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-residual-neural-decoder-towards-low-complexity-high-performance-channel-decoding-2102.03959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-residual-neural-decoder-towards-low-complexity-high-performance-channel-decoding-2102.03959"/></url>
<url><loc>https://scifaro.com/en/abs/coordinating-momenta-for-cross-silo-federated-learning-2102.03970</loc><lastmod>2022-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coordinating-momenta-for-cross-silo-federated-learning-2102.03970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coordinating-momenta-for-cross-silo-federated-learning-2102.03970"/></url>
<url><loc>https://scifaro.com/en/abs/reconstruction-of-sparse-signals-under-gaussian-noise-and-saturation-2102.03975</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconstruction-of-sparse-signals-under-gaussian-noise-and-saturation-2102.03975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconstruction-of-sparse-signals-under-gaussian-noise-and-saturation-2102.03975"/></url>
<url><loc>https://scifaro.com/en/abs/grab-the-reins-of-crowds-estimating-the-effects-of-crowd-movement-guidance-using-causal-inference-2102.03980</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grab-the-reins-of-crowds-estimating-the-effects-of-crowd-movement-guidance-using-causal-inference-2102.03980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grab-the-reins-of-crowds-estimating-the-effects-of-crowd-movement-guidance-using-causal-inference-2102.03980"/></url>
<url><loc>https://scifaro.com/en/abs/deft-distilling-entangled-factors-by-preventing-information-diffusion-2102.03986</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deft-distilling-entangled-factors-by-preventing-information-diffusion-2102.03986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deft-distilling-entangled-factors-by-preventing-information-diffusion-2102.03986"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-walking-tasks-classification-in-older-adults-using-fnirs-2102.03987</loc><lastmod>2023-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-walking-tasks-classification-in-older-adults-using-fnirs-2102.03987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-walking-tasks-classification-in-older-adults-using-fnirs-2102.03987"/></url>
<url><loc>https://scifaro.com/en/abs/ising-model-selection-using-ell-1-regularized-linear-regression-a-statistical-mechanics-analysis-2102.03988</loc><lastmod>2022-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ising-model-selection-using-ell-1-regularized-linear-regression-a-statistical-mechanics-analysis-2102.03988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ising-model-selection-using-ell-1-regularized-linear-regression-a-statistical-mechanics-analysis-2102.03988"/></url>
<url><loc>https://scifaro.com/en/abs/deepca-decentralized-exact-pca-with-linear-convergence-rate-2102.03990</loc><lastmod>2021-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepca-decentralized-exact-pca-with-linear-convergence-rate-2102.03990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepca-decentralized-exact-pca-with-linear-convergence-rate-2102.03990"/></url>
<url><loc>https://scifaro.com/en/abs/meta-discovery-learning-to-discover-novel-classes-given-very-limited-data-2102.04002</loc><lastmod>2022-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-discovery-learning-to-discover-novel-classes-given-very-limited-data-2102.04002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-discovery-learning-to-discover-novel-classes-given-very-limited-data-2102.04002"/></url>
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<url><loc>https://scifaro.com/en/abs/a-ranking-approach-to-fair-classification-2102.04565</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-ranking-approach-to-fair-classification-2102.04565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-ranking-approach-to-fair-classification-2102.04565"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-generative-adversarial-network-2102.04593</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-generative-adversarial-network-2102.04593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-generative-adversarial-network-2102.04593"/></url>
<url><loc>https://scifaro.com/en/abs/rationally-inattentive-utility-maximization-for-interpretable-deep-image-classification-2102.04594</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rationally-inattentive-utility-maximization-for-interpretable-deep-image-classification-2102.04594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rationally-inattentive-utility-maximization-for-interpretable-deep-image-classification-2102.04594"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-framework-for-variance-reduced-hamiltonian-monte-carlo-2102.04613</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-framework-for-variance-reduced-hamiltonian-monte-carlo-2102.04613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-framework-for-variance-reduced-hamiltonian-monte-carlo-2102.04613"/></url>
<url><loc>https://scifaro.com/en/abs/wheacha-a-method-for-explaining-the-predictions-of-models-of-code-2102.04625</loc><lastmod>2022-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wheacha-a-method-for-explaining-the-predictions-of-models-of-code-2102.04625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wheacha-a-method-for-explaining-the-predictions-of-models-of-code-2102.04625"/></url>
<url><loc>https://scifaro.com/en/abs/federated-deep-auc-maximization-for-heterogeneous-data-with-a-constant-communication-complexity-2102.04635</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-deep-auc-maximization-for-heterogeneous-data-with-a-constant-communication-complexity-2102.04635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-deep-auc-maximization-for-heterogeneous-data-with-a-constant-communication-complexity-2102.04635"/></url>
<url><loc>https://scifaro.com/en/abs/training-federated-gans-with-theoretical-guarantees-a-universal-aggregation-approach-2102.04655</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-federated-gans-with-theoretical-guarantees-a-universal-aggregation-approach-2102.04655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-federated-gans-with-theoretical-guarantees-a-universal-aggregation-approach-2102.04655"/></url>
<url><loc>https://scifaro.com/en/abs/mali-a-memory-efficient-and-reverse-accurate-integrator-for-neural-odes-2102.04668</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mali-a-memory-efficient-and-reverse-accurate-integrator-for-neural-odes-2102.04668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mali-a-memory-efficient-and-reverse-accurate-integrator-for-neural-odes-2102.04668"/></url>
<url><loc>https://scifaro.com/en/abs/graph-aided-online-multi-kernel-learning-2102.04690</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-aided-online-multi-kernel-learning-2102.04690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-aided-online-multi-kernel-learning-2102.04690"/></url>
<url><loc>https://scifaro.com/en/abs/fine-grained-gap-dependent-bounds-for-tabular-mdps-via-adaptive-multi-step-bootstrap-2102.04692</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fine-grained-gap-dependent-bounds-for-tabular-mdps-via-adaptive-multi-step-bootstrap-2102.04692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fine-grained-gap-dependent-bounds-for-tabular-mdps-via-adaptive-multi-step-bootstrap-2102.04692"/></url>
<url><loc>https://scifaro.com/en/abs/attdmm-an-attentive-deep-markov-model-for-risk-scoring-in-intensive-care-units-2102.04702</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attdmm-an-attentive-deep-markov-model-for-risk-scoring-in-intensive-care-units-2102.04702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attdmm-an-attentive-deep-markov-model-for-risk-scoring-in-intensive-care-units-2102.04702"/></url>
<url><loc>https://scifaro.com/en/abs/inapproximability-of-a-pair-of-forms-defining-a-partial-boolean-function-2102.04703</loc><lastmod>2022-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inapproximability-of-a-pair-of-forms-defining-a-partial-boolean-function-2102.04703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inapproximability-of-a-pair-of-forms-defining-a-partial-boolean-function-2102.04703"/></url>
<url><loc>https://scifaro.com/en/abs/output-perturbation-for-differentially-private-convex-optimization-faster-and-more-general-2102.04704</loc><lastmod>2024-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/output-perturbation-for-differentially-private-convex-optimization-faster-and-more-general-2102.04704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/output-perturbation-for-differentially-private-convex-optimization-faster-and-more-general-2102.04704"/></url>
<url><loc>https://scifaro.com/en/abs/better-safe-than-sorry-preventing-delusive-adversaries-with-adversarial-training-2102.04716</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-safe-than-sorry-preventing-delusive-adversaries-with-adversarial-training-2102.04716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-safe-than-sorry-preventing-delusive-adversaries-with-adversarial-training-2102.04716"/></url>
<url><loc>https://scifaro.com/en/abs/reverb-a-framework-for-experience-replay-2102.04736</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reverb-a-framework-for-experience-replay-2102.04736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reverb-a-framework-for-experience-replay-2102.04736"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-local-differential-privacy-trade-offs-between-privacy-utility-and-communication-2102.04737</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-local-differential-privacy-trade-offs-between-privacy-utility-and-communication-2102.04737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-local-differential-privacy-trade-offs-between-privacy-utility-and-communication-2102.04737"/></url>
<url><loc>https://scifaro.com/en/abs/quasi-global-momentum-accelerating-decentralized-deep-learning-on-heterogeneous-data-2102.04761</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quasi-global-momentum-accelerating-decentralized-deep-learning-on-heterogeneous-data-2102.04761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quasi-global-momentum-accelerating-decentralized-deep-learning-on-heterogeneous-data-2102.04761"/></url>
<url><loc>https://scifaro.com/en/abs/k-anonymity-in-practice-how-generalisation-and-suppression-affect-machine-learning-classifiers-2102.04763</loc><lastmod>2022-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-anonymity-in-practice-how-generalisation-and-suppression-affect-machine-learning-classifiers-2102.04763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-anonymity-in-practice-how-generalisation-and-suppression-affect-machine-learning-classifiers-2102.04763"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-time-model-based-reinforcement-learning-2102.04764</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-time-model-based-reinforcement-learning-2102.04764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-time-model-based-reinforcement-learning-2102.04764"/></url>
<url><loc>https://scifaro.com/en/abs/cologne-coordinated-local-graph-neighborhood-sampling-2102.04770</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cologne-coordinated-local-graph-neighborhood-sampling-2102.04770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cologne-coordinated-local-graph-neighborhood-sampling-2102.04770"/></url>
<url><loc>https://scifaro.com/en/abs/structured-diversification-emergence-via-reinforced-organization-control-and-hierarchical-consensus-learning-2102.04775</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-diversification-emergence-via-reinforced-organization-control-and-hierarchical-consensus-learning-2102.04775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-diversification-emergence-via-reinforced-organization-control-and-hierarchical-consensus-learning-2102.04775"/></url>
<url><loc>https://scifaro.com/en/abs/generative-models-as-distributions-of-functions-2102.04776</loc><lastmod>2022-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-models-as-distributions-of-functions-2102.04776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-models-as-distributions-of-functions-2102.04776"/></url>
<url><loc>https://scifaro.com/en/abs/fast-discovery-of-multidimensional-subsequences-for-robust-trajectory-classification-2102.04781</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-discovery-of-multidimensional-subsequences-for-robust-trajectory-classification-2102.04781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-discovery-of-multidimensional-subsequences-for-robust-trajectory-classification-2102.04781"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-arm-bandit-approach-to-subset-selection-under-constraints-2102.04824</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-arm-bandit-approach-to-subset-selection-under-constraints-2102.04824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-arm-bandit-approach-to-subset-selection-under-constraints-2102.04824"/></url>
<url><loc>https://scifaro.com/en/abs/consensus-control-for-decentralized-deep-learning-2102.04828</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consensus-control-for-decentralized-deep-learning-2102.04828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consensus-control-for-decentralized-deep-learning-2102.04828"/></url>
<url><loc>https://scifaro.com/en/abs/target-training-does-adversarial-training-without-adversarial-samples-2102.04836</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/target-training-does-adversarial-training-without-adversarial-samples-2102.04836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/target-training-does-adversarial-training-without-adversarial-samples-2102.04836"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-powerful-svm-using-piece-wise-linear-loss-functions-2102.04849</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-powerful-svm-using-piece-wise-linear-loss-functions-2102.04849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-powerful-svm-using-piece-wise-linear-loss-functions-2102.04849"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-progress-in-deep-reinforcement-learning-sample-efficiency-2102.04881</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-progress-in-deep-reinforcement-learning-sample-efficiency-2102.04881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-progress-in-deep-reinforcement-learning-sample-efficiency-2102.04881"/></url>
<url><loc>https://scifaro.com/en/abs/on-theory-training-neural-networks-to-infer-the-solution-of-highly-coupled-differential-equations-2102.04890</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-theory-training-neural-networks-to-infer-the-solution-of-highly-coupled-differential-equations-2102.04890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-theory-training-neural-networks-to-infer-the-solution-of-highly-coupled-differential-equations-2102.04890"/></url>
<url><loc>https://scifaro.com/en/abs/learning-state-representations-from-random-deep-action-conditional-predictions-2102.04897</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-state-representations-from-random-deep-action-conditional-predictions-2102.04897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-state-representations-from-random-deep-action-conditional-predictions-2102.04897"/></url>
<url><loc>https://scifaro.com/en/abs/rl-reach-reproducible-reinforcement-learning-experiments-for-robotic-reaching-tasks-2102.04916</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rl-reach-reproducible-reinforcement-learning-experiments-for-robotic-reaching-tasks-2102.04916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rl-reach-reproducible-reinforcement-learning-experiments-for-robotic-reaching-tasks-2102.04916"/></url>
<url><loc>https://scifaro.com/en/abs/more-is-more-narrowing-the-generalization-gap-by-adding-classification-heads-2102.04924</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/more-is-more-narrowing-the-generalization-gap-by-adding-classification-heads-2102.04924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/more-is-more-narrowing-the-generalization-gap-by-adding-classification-heads-2102.04924"/></url>
<url><loc>https://scifaro.com/en/abs/sparsification-via-compressed-sensing-for-automatic-speech-recognition-2102.04932</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsification-via-compressed-sensing-for-automatic-speech-recognition-2102.04932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsification-via-compressed-sensing-for-automatic-speech-recognition-2102.04932"/></url>
<url><loc>https://scifaro.com/en/abs/rl-for-latent-mdps-regret-guarantees-and-a-lower-bound-2102.04939</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rl-for-latent-mdps-regret-guarantees-and-a-lower-bound-2102.04939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rl-for-latent-mdps-regret-guarantees-and-a-lower-bound-2102.04939"/></url>
<url><loc>https://scifaro.com/en/abs/miso-wildcosts-multi-information-source-optimization-with-location-dependent-costs-2102.04951</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/miso-wildcosts-multi-information-source-optimization-with-location-dependent-costs-2102.04951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/miso-wildcosts-multi-information-source-optimization-with-location-dependent-costs-2102.04951"/></url>
<url><loc>https://scifaro.com/en/abs/semantic-borrowing-for-generalized-zero-shot-learning-2102.04969</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantic-borrowing-for-generalized-zero-shot-learning-2102.04969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantic-borrowing-for-generalized-zero-shot-learning-2102.04969"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-deep-graph-generative-models-for-optimizing-new-drug-molecules-for-covid-19-2102.04977</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-deep-graph-generative-models-for-optimizing-new-drug-molecules-for-covid-19-2102.04977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-deep-graph-generative-models-for-optimizing-new-drug-molecules-for-covid-19-2102.04977"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-network-based-cough-detection-using-bed-mounted-accelerometer-measurements-2102.04997</loc><lastmod>2022-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-based-cough-detection-using-bed-mounted-accelerometer-measurements-2102.04997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-based-cough-detection-using-bed-mounted-accelerometer-measurements-2102.04997"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-pairwise-weights-for-temporal-credit-assignment-2102.04999</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-pairwise-weights-for-temporal-credit-assignment-2102.04999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-pairwise-weights-for-temporal-credit-assignment-2102.04999"/></url>
<url><loc>https://scifaro.com/en/abs/mars-image-content-classification-three-years-of-nasa-deployment-and-recent-advances-2102.05011</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mars-image-content-classification-three-years-of-nasa-deployment-and-recent-advances-2102.05011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mars-image-content-classification-three-years-of-nasa-deployment-and-recent-advances-2102.05011"/></url>
<url><loc>https://scifaro.com/en/abs/spherical-message-passing-for-3d-graph-networks-2102.05013</loc><lastmod>2022-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spherical-message-passing-for-3d-graph-networks-2102.05013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spherical-message-passing-for-3d-graph-networks-2102.05013"/></url>
<url><loc>https://scifaro.com/en/abs/robust-bandit-learning-with-imperfect-context-2102.05018</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-bandit-learning-with-imperfect-context-2102.05018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-bandit-learning-with-imperfect-context-2102.05018"/></url>
<url><loc>https://scifaro.com/en/abs/consensus-based-multi-layer-perceptrons-for-edge-computing-2102.05021</loc><lastmod>2021-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consensus-based-multi-layer-perceptrons-for-edge-computing-2102.05021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consensus-based-multi-layer-perceptrons-for-edge-computing-2102.05021"/></url>
<url><loc>https://scifaro.com/en/abs/slaps-self-supervision-improves-structure-learning-for-graph-neural-networks-2102.05034</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slaps-self-supervision-improves-structure-learning-for-graph-neural-networks-2102.05034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slaps-self-supervision-improves-structure-learning-for-graph-neural-networks-2102.05034"/></url>
<url><loc>https://scifaro.com/en/abs/bounded-memory-active-learning-through-enriched-queries-2102.05047</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounded-memory-active-learning-through-enriched-queries-2102.05047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounded-memory-active-learning-through-enriched-queries-2102.05047"/></url>
<url><loc>https://scifaro.com/en/abs/domain-invariant-representation-learning-with-domain-density-transformations-2102.05082</loc><lastmod>2022-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-invariant-representation-learning-with-domain-density-transformations-2102.05082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-invariant-representation-learning-with-domain-density-transformations-2102.05082"/></url>
<url><loc>https://scifaro.com/en/abs/towards-bridging-the-gap-between-empirical-and-certified-robustness-against-adversarial-examples-2102.05096</loc><lastmod>2022-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-bridging-the-gap-between-empirical-and-certified-robustness-against-adversarial-examples-2102.05096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-bridging-the-gap-between-empirical-and-certified-robustness-against-adversarial-examples-2102.05096"/></url>
<url><loc>https://scifaro.com/en/abs/what-s-in-the-box-deflecting-adversarial-attacks-by-randomly-deploying-adversarially-disjoint-models-2102.05104</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-s-in-the-box-deflecting-adversarial-attacks-by-randomly-deploying-adversarially-disjoint-models-2102.05104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-s-in-the-box-deflecting-adversarial-attacks-by-randomly-deploying-adversarially-disjoint-models-2102.05104"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-perturbations-are-not-so-weird-entanglement-of-robust-and-non-robust-features-in-neural-network-classifiers-2102.05110</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-perturbations-are-not-so-weird-entanglement-of-robust-and-non-robust-features-in-neural-network-classifiers-2102.05110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-perturbations-are-not-so-weird-entanglement-of-robust-and-non-robust-features-in-neural-network-classifiers-2102.05110"/></url>
<url><loc>https://scifaro.com/en/abs/backdoor-scanning-for-deep-neural-networks-through-k-arm-optimization-2102.05123</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backdoor-scanning-for-deep-neural-networks-through-k-arm-optimization-2102.05123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backdoor-scanning-for-deep-neural-networks-through-k-arm-optimization-2102.05123"/></url>
<url><loc>https://scifaro.com/en/abs/label-smoothed-embedding-hypothesis-for-out-of-distribution-detection-2102.05131</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-smoothed-embedding-hypothesis-for-out-of-distribution-detection-2102.05131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-smoothed-embedding-hypothesis-for-out-of-distribution-detection-2102.05131"/></url>
<url><loc>https://scifaro.com/en/abs/using-deep-lsd-to-build-operators-in-gans-latent-space-with-meaning-in-real-space-2102.05132</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-deep-lsd-to-build-operators-in-gans-latent-space-with-meaning-in-real-space-2102.05132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-deep-lsd-to-build-operators-in-gans-latent-space-with-meaning-in-real-space-2102.05132"/></url>
<url><loc>https://scifaro.com/en/abs/locally-adaptive-label-smoothing-for-predictive-churn-2102.05140</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-adaptive-label-smoothing-for-predictive-churn-2102.05140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-adaptive-label-smoothing-for-predictive-churn-2102.05140"/></url>
<url><loc>https://scifaro.com/en/abs/classifier-calibration-with-application-to-threat-scores-in-cybersecurity-2102.05143</loc><lastmod>2022-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifier-calibration-with-application-to-threat-scores-in-cybersecurity-2102.05143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifier-calibration-with-application-to-threat-scores-in-cybersecurity-2102.05143"/></url>
<url><loc>https://scifaro.com/en/abs/on-explainability-of-graph-neural-networks-via-subgraph-explorations-2102.05152</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-explainability-of-graph-neural-networks-via-subgraph-explorations-2102.05152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-explainability-of-graph-neural-networks-via-subgraph-explorations-2102.05152"/></url>
<url><loc>https://scifaro.com/en/abs/nonstochastic-bandits-with-infinitely-many-experts-2102.05164</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonstochastic-bandits-with-infinitely-many-experts-2102.05164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonstochastic-bandits-with-infinitely-many-experts-2102.05164"/></url>
<url><loc>https://scifaro.com/en/abs/scheduling-the-nasa-deep-space-network-with-deep-reinforcement-learning-2102.05167</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scheduling-the-nasa-deep-space-network-with-deep-reinforcement-learning-2102.05167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scheduling-the-nasa-deep-space-network-with-deep-reinforcement-learning-2102.05167"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-based-few-shot-classification-using-optimal-transport-mapping-from-preprocessed-latent-space-of-backbone-neural-network-2102.05176</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-based-few-shot-classification-using-optimal-transport-mapping-from-preprocessed-latent-space-of-backbone-neural-network-2102.05176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-based-few-shot-classification-using-optimal-transport-mapping-from-preprocessed-latent-space-of-backbone-neural-network-2102.05176"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarks-algorithms-and-metrics-for-hierarchical-disentanglement-2102.05185</loc><lastmod>2022-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarks-algorithms-and-metrics-for-hierarchical-disentanglement-2102.05185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarks-algorithms-and-metrics-for-hierarchical-disentanglement-2102.05185"/></url>
<url><loc>https://scifaro.com/en/abs/capc-learning-confidential-and-private-collaborative-learning-2102.05188</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capc-learning-confidential-and-private-collaborative-learning-2102.05188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capc-learning-confidential-and-private-collaborative-learning-2102.05188"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-template-based-ssvep-decoding-by-cross-domain-transfer-learning-2102.05194</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-template-based-ssvep-decoding-by-cross-domain-transfer-learning-2102.05194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-template-based-ssvep-decoding-by-cross-domain-transfer-learning-2102.05194"/></url>
<url><loc>https://scifaro.com/en/abs/attentive-gaussian-processes-for-probabilistic-time-series-generation-2102.05208</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attentive-gaussian-processes-for-probabilistic-time-series-generation-2102.05208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attentive-gaussian-processes-for-probabilistic-time-series-generation-2102.05208"/></url>
<url><loc>https://scifaro.com/en/abs/task-optimal-exploration-in-linear-dynamical-systems-2102.05214</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-optimal-exploration-in-linear-dynamical-systems-2102.05214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-optimal-exploration-in-linear-dynamical-systems-2102.05214"/></url>
<url><loc>https://scifaro.com/en/abs/flop-federated-learning-on-medical-datasets-using-partial-networks-2102.05218</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flop-federated-learning-on-medical-datasets-using-partial-networks-2102.05218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flop-federated-learning-on-medical-datasets-using-partial-networks-2102.05218"/></url>
<url><loc>https://scifaro.com/en/abs/early-abandoning-and-pruning-for-elastic-distances-including-dynamic-time-warping-2102.05221</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-abandoning-and-pruning-for-elastic-distances-including-dynamic-time-warping-2102.05221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-abandoning-and-pruning-for-elastic-distances-including-dynamic-time-warping-2102.05221"/></url>
<url><loc>https://scifaro.com/en/abs/driver2vec-driver-identification-from-automotive-data-2102.05234</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/driver2vec-driver-identification-from-automotive-data-2102.05234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/driver2vec-driver-identification-from-automotive-data-2102.05234"/></url>
<url><loc>https://scifaro.com/en/abs/advanced-ore-mine-optimisation-under-uncertainty-using-evolution-2102.05235</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advanced-ore-mine-optimisation-under-uncertainty-using-evolution-2102.05235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advanced-ore-mine-optimisation-under-uncertainty-using-evolution-2102.05235"/></url>
<url><loc>https://scifaro.com/en/abs/patterns-predictions-and-actions-a-story-about-machine-learning-2102.05242</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/patterns-predictions-and-actions-a-story-about-machine-learning-2102.05242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/patterns-predictions-and-actions-a-story-about-machine-learning-2102.05242"/></url>
<url><loc>https://scifaro.com/en/abs/memory-associated-differential-learning-2102.05246</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-associated-differential-learning-2102.05246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-associated-differential-learning-2102.05246"/></url>
<url><loc>https://scifaro.com/en/abs/policy-augmentation-an-exploration-strategy-for-faster-convergence-of-deep-reinforcement-learning-algorithms-2102.05249</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-augmentation-an-exploration-strategy-for-faster-convergence-of-deep-reinforcement-learning-algorithms-2102.05249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-augmentation-an-exploration-strategy-for-faster-convergence-of-deep-reinforcement-learning-algorithms-2102.05249"/></url>
<url><loc>https://scifaro.com/en/abs/robust-federated-learning-with-attack-adaptive-aggregation-2102.05257</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-federated-learning-with-attack-adaptive-aggregation-2102.05257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-federated-learning-with-attack-adaptive-aggregation-2102.05257"/></url>
<url><loc>https://scifaro.com/en/abs/simple-agent-complex-environment-efficient-reinforcement-learning-with-agent-states-2102.05261</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-agent-complex-environment-efficient-reinforcement-learning-with-agent-states-2102.05261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-agent-complex-environment-efficient-reinforcement-learning-with-agent-states-2102.05261"/></url>
<url><loc>https://scifaro.com/en/abs/input-similarity-from-the-neural-network-perspective-2102.05262</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/input-similarity-from-the-neural-network-perspective-2102.05262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/input-similarity-from-the-neural-network-perspective-2102.05262"/></url>
<url><loc>https://scifaro.com/en/abs/regression-oracles-and-exploration-strategies-for-short-horizon-multi-armed-bandits-2102.05263</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regression-oracles-and-exploration-strategies-for-short-horizon-multi-armed-bandits-2102.05263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regression-oracles-and-exploration-strategies-for-short-horizon-multi-armed-bandits-2102.05263"/></url>
<url><loc>https://scifaro.com/en/abs/stability-of-sgd-tightness-analysis-and-improved-bounds-2102.05274</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-of-sgd-tightness-analysis-and-improved-bounds-2102.05274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-of-sgd-tightness-analysis-and-improved-bounds-2102.05274"/></url>
<url><loc>https://scifaro.com/en/abs/finding-the-stochastic-shortest-path-with-low-regret-the-adversarial-cost-and-unknown-transition-case-2102.05284</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-the-stochastic-shortest-path-with-low-regret-the-adversarial-cost-and-unknown-transition-case-2102.05284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-the-stochastic-shortest-path-with-low-regret-the-adversarial-cost-and-unknown-transition-case-2102.05284"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-with-certifiable-adversarial-robustness-2102.05289</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-with-certifiable-adversarial-robustness-2102.05289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-with-certifiable-adversarial-robustness-2102.05289"/></url>
<url><loc>https://scifaro.com/en/abs/clusterability-as-an-alternative-to-anchor-points-when-learning-with-noisy-labels-2102.05291</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clusterability-as-an-alternative-to-anchor-points-when-learning-with-noisy-labels-2102.05291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clusterability-as-an-alternative-to-anchor-points-when-learning-with-noisy-labels-2102.05291"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-pessimistic-optimistic-algorithm-for-stochastic-linear-bandits-with-general-constraints-2102.05295</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-pessimistic-optimistic-algorithm-for-stochastic-linear-bandits-with-general-constraints-2102.05295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-pessimistic-optimistic-algorithm-for-stochastic-linear-bandits-with-general-constraints-2102.05295"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-granger-causal-modeling-for-multivariate-time-series-2102.05298</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-granger-causal-modeling-for-multivariate-time-series-2102.05298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-granger-causal-modeling-for-multivariate-time-series-2102.05298"/></url>
<url><loc>https://scifaro.com/en/abs/cifs-improving-adversarial-robustness-of-cnns-via-channel-wise-importance-based-feature-selection-2102.05311</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cifs-improving-adversarial-robustness-of-cnns-via-channel-wise-importance-based-feature-selection-2102.05311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cifs-improving-adversarial-robustness-of-cnns-via-channel-wise-importance-based-feature-selection-2102.05311"/></url>
<url><loc>https://scifaro.com/en/abs/improved-algorithms-for-efficient-active-learning-halfspaces-with-massart-and-tsybakov-noise-2102.05312</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-algorithms-for-efficient-active-learning-halfspaces-with-massart-and-tsybakov-noise-2102.05312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-algorithms-for-efficient-active-learning-halfspaces-with-massart-and-tsybakov-noise-2102.05312"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-nonnegative-time-series-via-sliding-mask-method-smm-and-latent-clustered-forecast-lcf-2102.05314</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-nonnegative-time-series-via-sliding-mask-method-smm-and-latent-clustered-forecast-lcf-2102.05314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-nonnegative-time-series-via-sliding-mask-method-smm-and-latent-clustered-forecast-lcf-2102.05314"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-instance-level-label-noise-disparate-impacts-and-treatments-2102.05336</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-instance-level-label-noise-disparate-impacts-and-treatments-2102.05336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-instance-level-label-noise-disparate-impacts-and-treatments-2102.05336"/></url>
<url><loc>https://scifaro.com/en/abs/on-pytorch-implementation-of-density-estimators-for-von-mises-fisher-and-its-mixture-2102.05340</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-pytorch-implementation-of-density-estimators-for-von-mises-fisher-and-its-mixture-2102.05340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-pytorch-implementation-of-density-estimators-for-von-mises-fisher-and-its-mixture-2102.05340"/></url>
<url><loc>https://scifaro.com/en/abs/from-sampling-to-optimization-on-discrete-domains-with-applications-to-determinant-maximization-2102.05347</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-sampling-to-optimization-on-discrete-domains-with-applications-to-determinant-maximization-2102.05347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-sampling-to-optimization-on-discrete-domains-with-applications-to-determinant-maximization-2102.05347"/></url>
<url><loc>https://scifaro.com/en/abs/towards-certifying-l-infinity-robustness-using-neural-networks-with-l-inf-dist-neurons-2102.05363</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-certifying-l-infinity-robustness-using-neural-networks-with-l-inf-dist-neurons-2102.05363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-certifying-l-infinity-robustness-using-neural-networks-with-l-inf-dist-neurons-2102.05363"/></url>
<url><loc>https://scifaro.com/en/abs/risk-averse-offline-reinforcement-learning-2102.05371</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-averse-offline-reinforcement-learning-2102.05371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-averse-offline-reinforcement-learning-2102.05371"/></url>
<url><loc>https://scifaro.com/en/abs/guiltywalker-distance-to-illicit-nodes-in-the-bitcoin-network-2102.05373</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guiltywalker-distance-to-illicit-nodes-in-the-bitcoin-network-2102.05373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guiltywalker-distance-to-illicit-nodes-in-the-bitcoin-network-2102.05373"/></url>
<url><loc>https://scifaro.com/en/abs/strength-of-minibatch-noise-in-sgd-2102.05375</loc><lastmod>2022-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strength-of-minibatch-noise-in-sgd-2102.05375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strength-of-minibatch-noise-in-sgd-2102.05375"/></url>
<url><loc>https://scifaro.com/en/abs/non-stationary-reinforcement-learning-without-prior-knowledge-an-optimal-black-box-approach-2102.05406</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-stationary-reinforcement-learning-without-prior-knowledge-an-optimal-black-box-approach-2102.05406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-stationary-reinforcement-learning-without-prior-knowledge-an-optimal-black-box-approach-2102.05406"/></url>
<url><loc>https://scifaro.com/en/abs/brecq-pushing-the-limit-of-post-training-quantization-by-block-reconstruction-2102.05426</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/brecq-pushing-the-limit-of-post-training-quantization-by-block-reconstruction-2102.05426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/brecq-pushing-the-limit-of-post-training-quantization-by-block-reconstruction-2102.05426"/></url>
<url><loc>https://scifaro.com/en/abs/main-multihead-attention-imputation-networks-2102.05428</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/main-multihead-attention-imputation-networks-2102.05428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/main-multihead-attention-imputation-networks-2102.05428"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-what-fools-you-makes-you-stronger-2102.05475</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-what-fools-you-makes-you-stronger-2102.05475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-what-fools-you-makes-you-stronger-2102.05475"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-in-compressed-neural-networks-for-object-detection-2102.05509</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-in-compressed-neural-networks-for-object-detection-2102.05509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-in-compressed-neural-networks-for-object-detection-2102.05509"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-corruption-in-single-bidder-auctions-via-positive-unlabelled-learning-2102.05523</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-corruption-in-single-bidder-auctions-via-positive-unlabelled-learning-2102.05523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-corruption-in-single-bidder-auctions-via-positive-unlabelled-learning-2102.05523"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-beta-vaes-for-quantifying-biodiversity-by-clustering-optically-recorded-insect-signals-2102.05526</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-beta-vaes-for-quantifying-biodiversity-by-clustering-optically-recorded-insect-signals-2102.05526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-beta-vaes-for-quantifying-biodiversity-by-clustering-optically-recorded-insect-signals-2102.05526"/></url>
<url><loc>https://scifaro.com/en/abs/learning-equational-theorem-proving-2102.05547</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-equational-theorem-proving-2102.05547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-equational-theorem-proving-2102.05547"/></url>
<url><loc>https://scifaro.com/en/abs/meta-federated-learning-2102.05561</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-federated-learning-2102.05561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-federated-learning-2102.05561"/></url>
<url><loc>https://scifaro.com/en/abs/hyperbolic-generative-adversarial-network-2102.05567</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperbolic-generative-adversarial-network-2102.05567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperbolic-generative-adversarial-network-2102.05567"/></url>
<url><loc>https://scifaro.com/en/abs/a-witness-two-sample-test-2102.05573</loc><lastmod>2022-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-witness-two-sample-test-2102.05573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-witness-two-sample-test-2102.05573"/></url>
<url><loc>https://scifaro.com/en/abs/fast-classification-learning-with-neural-networks-and-conceptors-for-speech-recognition-and-car-driving-maneuvers-2102.05588</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-classification-learning-with-neural-networks-and-conceptors-for-speech-recognition-and-car-driving-maneuvers-2102.05588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-classification-learning-with-neural-networks-and-conceptors-for-speech-recognition-and-car-driving-maneuvers-2102.05588"/></url>
<url><loc>https://scifaro.com/en/abs/improving-model-based-reinforcement-learning-with-internal-state-representations-through-self-supervision-2102.05599</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-model-based-reinforcement-learning-with-internal-state-representations-through-self-supervision-2102.05599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-model-based-reinforcement-learning-with-internal-state-representations-through-self-supervision-2102.05599"/></url>
<url><loc>https://scifaro.com/en/abs/systematic-generalization-in-neural-networks-based-multivariate-time-series-forecasting-models-2102.05602</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/systematic-generalization-in-neural-networks-based-multivariate-time-series-forecasting-models-2102.05602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/systematic-generalization-in-neural-networks-based-multivariate-time-series-forecasting-models-2102.05602"/></url>
<url><loc>https://scifaro.com/en/abs/personalization-for-web-based-services-using-offline-reinforcement-learning-2102.05612</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalization-for-web-based-services-using-offline-reinforcement-learning-2102.05612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalization-for-web-based-services-using-offline-reinforcement-learning-2102.05612"/></url>
<url><loc>https://scifaro.com/en/abs/addressing-the-topological-defects-of-disentanglement-via-distributed-operators-2102.05623</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addressing-the-topological-defects-of-disentanglement-via-distributed-operators-2102.05623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addressing-the-topological-defects-of-disentanglement-via-distributed-operators-2102.05623"/></url>
<url><loc>https://scifaro.com/en/abs/nast-non-autoregressive-spatial-temporal-transformer-for-time-series-forecasting-2102.05624</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nast-non-autoregressive-spatial-temporal-transformer-for-time-series-forecasting-2102.05624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nast-non-autoregressive-spatial-temporal-transformer-for-time-series-forecasting-2102.05624"/></url>
<url><loc>https://scifaro.com/en/abs/agnostic-proper-learning-of-halfspaces-under-gaussian-marginals-2102.05629</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agnostic-proper-learning-of-halfspaces-under-gaussian-marginals-2102.05629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agnostic-proper-learning-of-halfspaces-under-gaussian-marginals-2102.05629"/></url>
<url><loc>https://scifaro.com/en/abs/energy-harvesting-distributed-machine-learning-2102.05639</loc><lastmod>2021-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-harvesting-distributed-machine-learning-2102.05639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-harvesting-distributed-machine-learning-2102.05639"/></url>
<url><loc>https://scifaro.com/en/abs/novel-techniques-to-assess-predictive-systems-and-reduce-their-alarm-burden-2102.05691</loc><lastmod>2022-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novel-techniques-to-assess-predictive-systems-and-reduce-their-alarm-burden-2102.05691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novel-techniques-to-assess-predictive-systems-and-reduce-their-alarm-burden-2102.05691"/></url>
<url><loc>https://scifaro.com/en/abs/derivative-free-reinforcement-learning-a-review-2102.05710</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/derivative-free-reinforcement-learning-a-review-2102.05710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/derivative-free-reinforcement-learning-a-review-2102.05710"/></url>
<url><loc>https://scifaro.com/en/abs/sca-net-a-self-correcting-two-layer-autoencoder-for-hyper-spectral-unmixing-2102.05713</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sca-net-a-self-correcting-two-layer-autoencoder-for-hyper-spectral-unmixing-2102.05713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sca-net-a-self-correcting-two-layer-autoencoder-for-hyper-spectral-unmixing-2102.05713"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-in-reinforcement-learning-via-latent-unified-state-representation-2102.05714</loc><lastmod>2021-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-in-reinforcement-learning-via-latent-unified-state-representation-2102.05714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-in-reinforcement-learning-via-latent-unified-state-representation-2102.05714"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-push-communication-energy-efficient-decentralized-distributed-learning-over-directed-time-varying-graphs-with-non-iid-datasets-2102.05715</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-push-communication-energy-efficient-decentralized-distributed-learning-over-directed-time-varying-graphs-with-non-iid-datasets-2102.05715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-push-communication-energy-efficient-decentralized-distributed-learning-over-directed-time-varying-graphs-with-non-iid-datasets-2102.05715"/></url>
<url><loc>https://scifaro.com/en/abs/emojis-predict-dropouts-of-remote-workers-an-empirical-study-of-emoji-usage-on-github-2102.05737</loc><lastmod>2022-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emojis-predict-dropouts-of-remote-workers-an-empirical-study-of-emoji-usage-on-github-2102.05737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emojis-predict-dropouts-of-remote-workers-an-empirical-study-of-emoji-usage-on-github-2102.05737"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-learning-for-fast-and-scalable-time-series-hyper-parameter-tuning-2102.05740</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-learning-for-fast-and-scalable-time-series-hyper-parameter-tuning-2102.05740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-learning-for-fast-and-scalable-time-series-hyper-parameter-tuning-2102.05740"/></url>
<url><loc>https://scifaro.com/en/abs/development-of-crop-yield-estimation-model-using-soil-and-environmental-parameters-2102.05755</loc><lastmod>2025-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/development-of-crop-yield-estimation-model-using-soil-and-environmental-parameters-2102.05755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/development-of-crop-yield-estimation-model-using-soil-and-environmental-parameters-2102.05755"/></url>
<url><loc>https://scifaro.com/en/abs/risk-averse-bayes-adaptive-reinforcement-learning-2102.05762</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-averse-bayes-adaptive-reinforcement-learning-2102.05762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-averse-bayes-adaptive-reinforcement-learning-2102.05762"/></url>
<url><loc>https://scifaro.com/en/abs/early-performance-prediction-using-interpretable-patterns-in-programming-process-data-2102.05765</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-performance-prediction-using-interpretable-patterns-in-programming-process-data-2102.05765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-performance-prediction-using-interpretable-patterns-in-programming-process-data-2102.05765"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-customer-lifetime-values-ecommerce-use-case-2102.05771</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-customer-lifetime-values-ecommerce-use-case-2102.05771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-customer-lifetime-values-ecommerce-use-case-2102.05771"/></url>
<url><loc>https://scifaro.com/en/abs/deep-variational-autoencoder-with-shallow-parallel-path-for-top-n-recommendation-vasp-2102.05774</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-variational-autoencoder-with-shallow-parallel-path-for-top-n-recommendation-vasp-2102.05774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-variational-autoencoder-with-shallow-parallel-path-for-top-n-recommendation-vasp-2102.05774"/></url>
<url><loc>https://scifaro.com/en/abs/defense-against-reward-poisoning-attacks-in-reinforcement-learning-2102.05776</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defense-against-reward-poisoning-attacks-in-reinforcement-learning-2102.05776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defense-against-reward-poisoning-attacks-in-reinforcement-learning-2102.05776"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-implicit-soft-body-physics-2102.05791</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-implicit-soft-body-physics-2102.05791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-implicit-soft-body-physics-2102.05791"/></url>
<url><loc>https://scifaro.com/en/abs/robust-policy-gradient-against-strong-data-corruption-2102.05800</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-policy-gradient-against-strong-data-corruption-2102.05800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-policy-gradient-against-strong-data-corruption-2102.05800"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-through-transfer-learning-in-agriculture-and-manufacturing-iot-systems-2102.05814</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-through-transfer-learning-in-agriculture-and-manufacturing-iot-systems-2102.05814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-through-transfer-learning-in-agriculture-and-manufacturing-iot-systems-2102.05814"/></url>
<url><loc>https://scifaro.com/en/abs/representation-matters-offline-pretraining-for-sequential-decision-making-2102.05815</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-matters-offline-pretraining-for-sequential-decision-making-2102.05815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-matters-offline-pretraining-for-sequential-decision-making-2102.05815"/></url>
<url><loc>https://scifaro.com/en/abs/reproducibility-report-la-maml-look-ahead-meta-learning-for-continual-learning-2102.05824</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reproducibility-report-la-maml-look-ahead-meta-learning-for-continual-learning-2102.05824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reproducibility-report-la-maml-look-ahead-meta-learning-for-continual-learning-2102.05824"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-for-time-series-analysis-problems-methods-and-evaluation-2102.05829</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-for-time-series-analysis-problems-methods-and-evaluation-2102.05829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-for-time-series-analysis-problems-methods-and-evaluation-2102.05829"/></url>
<url><loc>https://scifaro.com/en/abs/online-deterministic-annealing-for-classification-and-clustering-2102.05836</loc><lastmod>2025-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-deterministic-annealing-for-classification-and-clustering-2102.05836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-deterministic-annealing-for-classification-and-clustering-2102.05836"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-clinical-deterioration-in-hospitals-2102.05856</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-clinical-deterioration-in-hospitals-2102.05856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-clinical-deterioration-in-hospitals-2102.05856"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-near-instance-optimality-and-minimax-optimality-in-stochastic-and-adversarial-linear-bandits-simultaneously-2102.05858</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-near-instance-optimality-and-minimax-optimality-in-stochastic-and-adversarial-linear-bandits-simultaneously-2102.05858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-near-instance-optimality-and-minimax-optimality-in-stochastic-and-adversarial-linear-bandits-simultaneously-2102.05858"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-poisoning-attacks-and-defense-for-general-multi-class-models-based-on-synthetic-reduced-nearest-neighbors-2102.05867</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-poisoning-attacks-and-defense-for-general-multi-class-models-based-on-synthetic-reduced-nearest-neighbors-2102.05867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-poisoning-attacks-and-defense-for-general-multi-class-models-based-on-synthetic-reduced-nearest-neighbors-2102.05867"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-self-taught-federated-learning-for-heterogeneous-data-2102.05883</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-self-taught-federated-learning-for-heterogeneous-data-2102.05883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-self-taught-federated-learning-for-heterogeneous-data-2102.05883"/></url>
<url><loc>https://scifaro.com/en/abs/opinionrank-extracting-ground-truth-labels-from-unreliable-expert-opinions-with-graph-based-spectral-ranking-2102.05884</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opinionrank-extracting-ground-truth-labels-from-unreliable-expert-opinions-with-graph-based-spectral-ranking-2102.05884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opinionrank-extracting-ground-truth-labels-from-unreliable-expert-opinions-with-graph-based-spectral-ranking-2102.05884"/></url>
<url><loc>https://scifaro.com/en/abs/patchx-explaining-deep-models-by-intelligible-pattern-patches-for-time-series-classification-2102.05917</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/patchx-explaining-deep-models-by-intelligible-pattern-patches-for-time-series-classification-2102.05917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/patchx-explaining-deep-models-by-intelligible-pattern-patches-for-time-series-classification-2102.05917"/></url>
<url><loc>https://scifaro.com/en/abs/the-benefit-of-the-doubt-uncertainty-aware-sensing-for-edge-computing-platforms-2102.05956</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-benefit-of-the-doubt-uncertainty-aware-sensing-for-edge-computing-platforms-2102.05956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-benefit-of-the-doubt-uncertainty-aware-sensing-for-edge-computing-platforms-2102.05956"/></url>
<url><loc>https://scifaro.com/en/abs/eventscore-an-automated-real-time-early-warning-score-for-clinical-events-2102.05958</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eventscore-an-automated-real-time-early-warning-score-for-clinical-events-2102.05958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eventscore-an-automated-real-time-early-warning-score-for-clinical-events-2102.05958"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-trade-offs-in-utility-fairness-and-differential-privacy-in-neural-networks-2102.05975</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-trade-offs-in-utility-fairness-and-differential-privacy-in-neural-networks-2102.05975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-trade-offs-in-utility-fairness-and-differential-privacy-in-neural-networks-2102.05975"/></url>
<url><loc>https://scifaro.com/en/abs/tackling-virtual-and-real-concept-drifts-an-adaptive-gaussian-mixture-model-2102.05983</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tackling-virtual-and-real-concept-drifts-an-adaptive-gaussian-mixture-model-2102.05983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tackling-virtual-and-real-concept-drifts-an-adaptive-gaussian-mixture-model-2102.05983"/></url>
<url><loc>https://scifaro.com/en/abs/robust-generalization-and-safe-query-specialization-in-counterfactual-learning-to-rank-2102.05990</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-generalization-and-safe-query-specialization-in-counterfactual-learning-to-rank-2102.05990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-generalization-and-safe-query-specialization-in-counterfactual-learning-to-rank-2102.05990"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-through-regularization-for-learning-to-rank-2102.05996</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-through-regularization-for-learning-to-rank-2102.05996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-through-regularization-for-learning-to-rank-2102.05996"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-aware-pac-learning-from-corrupted-data-2102.06004</loc><lastmod>2022-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-aware-pac-learning-from-corrupted-data-2102.06004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-aware-pac-learning-from-corrupted-data-2102.06004"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-constraint-satisfaction-game-agents-15-puzzle-minesweeper-2048-and-sudoku-2102.06019</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-constraint-satisfaction-game-agents-15-puzzle-minesweeper-2048-and-sudoku-2102.06019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-constraint-satisfaction-game-agents-15-puzzle-minesweeper-2048-and-sudoku-2102.06019"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-for-multivariate-time-series-via-network-pruning-2102.06024</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-for-multivariate-time-series-via-network-pruning-2102.06024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-for-multivariate-time-series-via-network-pruning-2102.06024"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-training-system-for-100-million-classification-at-alibaba-2102.06025</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-training-system-for-100-million-classification-at-alibaba-2102.06025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-training-system-for-100-million-classification-at-alibaba-2102.06025"/></url>
<url><loc>https://scifaro.com/en/abs/roughsets-based-approach-for-predicting-battery-life-in-iot-2102.06026</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/roughsets-based-approach-for-predicting-battery-life-in-iot-2102.06026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/roughsets-based-approach-for-predicting-battery-life-in-iot-2102.06026"/></url>
<url><loc>https://scifaro.com/en/abs/stuanet-understanding-uncertainty-in-spatiotemporal-collective-human-mobility-2102.06027</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stuanet-understanding-uncertainty-in-spatiotemporal-collective-human-mobility-2102.06027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stuanet-understanding-uncertainty-in-spatiotemporal-collective-human-mobility-2102.06027"/></url>
<url><loc>https://scifaro.com/en/abs/feature-analyses-and-modelling-of-lithium-ion-batteries-manufacturing-based-on-random-forest-classification-2102.06029</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-analyses-and-modelling-of-lithium-ion-batteries-manufacturing-based-on-random-forest-classification-2102.06029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-analyses-and-modelling-of-lithium-ion-batteries-manufacturing-based-on-random-forest-classification-2102.06029"/></url>
<url><loc>https://scifaro.com/en/abs/an-ensemble-deep-convolutional-neural-network-model-for-electricity-theft-detection-in-smart-grids-2102.06039</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-ensemble-deep-convolutional-neural-network-model-for-electricity-theft-detection-in-smart-grids-2102.06039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-ensemble-deep-convolutional-neural-network-model-for-electricity-theft-detection-in-smart-grids-2102.06039"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-the-interaction-between-agents-in-cooperative-multi-agent-reinforcement-learning-2102.06042</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-the-interaction-between-agents-in-cooperative-multi-agent-reinforcement-learning-2102.06042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-the-interaction-between-agents-in-cooperative-multi-agent-reinforcement-learning-2102.06042"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-intelligence-based-autonomous-molecular-design-for-medical-therapeutic-a-perspective-2102.06045</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-intelligence-based-autonomous-molecular-design-for-medical-therapeutic-a-perspective-2102.06045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-intelligence-based-autonomous-molecular-design-for-medical-therapeutic-a-perspective-2102.06045"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-with-label-differential-privacy-2102.06062</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-with-label-differential-privacy-2102.06062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-with-label-differential-privacy-2102.06062"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-propagation-in-convolutional-neural-networks-technical-report-2102.06064</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-propagation-in-convolutional-neural-networks-technical-report-2102.06064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-propagation-in-convolutional-neural-networks-technical-report-2102.06064"/></url>
<url><loc>https://scifaro.com/en/abs/selfhar-improving-human-activity-recognition-through-self-training-with-unlabeled-data-2102.06073</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selfhar-improving-human-activity-recognition-through-self-training-with-unlabeled-data-2102.06073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selfhar-improving-human-activity-recognition-through-self-training-with-unlabeled-data-2102.06073"/></url>
<url><loc>https://scifaro.com/en/abs/partially-observed-exchangeable-modeling-2102.06083</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partially-observed-exchangeable-modeling-2102.06083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partially-observed-exchangeable-modeling-2102.06083"/></url>
<url><loc>https://scifaro.com/en/abs/meta-thompson-sampling-2102.06129</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-thompson-sampling-2102.06129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-thompson-sampling-2102.06129"/></url>
<url><loc>https://scifaro.com/en/abs/evosplit-an-evolutionary-approach-to-split-a-multi-label-data-set-into-disjoint-subsets-2102.06154</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evosplit-an-evolutionary-approach-to-split-a-multi-label-data-set-into-disjoint-subsets-2102.06154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evosplit-an-evolutionary-approach-to-split-a-multi-label-data-set-into-disjoint-subsets-2102.06154"/></url>
<url><loc>https://scifaro.com/en/abs/defuse-harnessing-unrestricted-adversarial-examples-for-debugging-models-beyond-test-accuracy-2102.06162</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defuse-harnessing-unrestricted-adversarial-examples-for-debugging-models-beyond-test-accuracy-2102.06162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defuse-harnessing-unrestricted-adversarial-examples-for-debugging-models-beyond-test-accuracy-2102.06162"/></url>
<url><loc>https://scifaro.com/en/abs/testing-framework-for-black-box-ai-models-2102.06166</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-framework-for-black-box-ai-models-2102.06166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-framework-for-black-box-ai-models-2102.06166"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-reinforcement-learning-with-context-based-representations-2102.06177</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-reinforcement-learning-with-context-based-representations-2102.06177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-reinforcement-learning-with-context-based-representations-2102.06177"/></url>
<url><loc>https://scifaro.com/en/abs/quadric-hypersurface-intersection-for-manifold-learning-in-feature-space-2102.06186</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quadric-hypersurface-intersection-for-manifold-learning-in-feature-space-2102.06186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quadric-hypersurface-intersection-for-manifold-learning-in-feature-space-2102.06186"/></url>
<url><loc>https://scifaro.com/en/abs/private-prediction-sets-2102.06202</loc><lastmod>2024-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-prediction-sets-2102.06202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-prediction-sets-2102.06202"/></url>
<url><loc>https://scifaro.com/en/abs/disentangled-representations-from-non-disentangled-models-2102.06204</loc><lastmod>2021-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-representations-from-non-disentangled-models-2102.06204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-representations-from-non-disentangled-models-2102.06204"/></url>
<url><loc>https://scifaro.com/en/abs/learning-gaussian-bernoulli-rbms-using-difference-of-convex-functions-optimization-2102.06228</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-gaussian-bernoulli-rbms-using-difference-of-convex-functions-optimization-2102.06228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-gaussian-bernoulli-rbms-using-difference-of-convex-functions-optimization-2102.06228"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-issues-in-kl-constrained-approximate-policy-iteration-2102.06234</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-issues-in-kl-constrained-approximate-policy-iteration-2102.06234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-issues-in-kl-constrained-approximate-policy-iteration-2102.06234"/></url>
<url><loc>https://scifaro.com/en/abs/regret-stability-fairness-in-matching-markets-with-bandit-learners-2102.06246</loc><lastmod>2022-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-stability-fairness-in-matching-markets-with-bandit-learners-2102.06246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-stability-fairness-in-matching-markets-with-bandit-learners-2102.06246"/></url>
<url><loc>https://scifaro.com/en/abs/sample-optimal-pac-learning-of-halfspaces-with-malicious-noise-2102.06247</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-optimal-pac-learning-of-halfspaces-with-malicious-noise-2102.06247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-optimal-pac-learning-of-halfspaces-with-malicious-noise-2102.06247"/></url>
<url><loc>https://scifaro.com/en/abs/continuum-simple-management-of-complex-continual-learning-scenarios-2102.06253</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuum-simple-management-of-complex-continual-learning-scenarios-2102.06253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuum-simple-management-of-complex-continual-learning-scenarios-2102.06253"/></url>
<url><loc>https://scifaro.com/en/abs/selecting-treatment-effects-models-for-domain-adaptation-using-causal-knowledge-2102.06271</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selecting-treatment-effects-models-for-domain-adaptation-using-causal-knowledge-2102.06271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selecting-treatment-effects-models-for-domain-adaptation-using-causal-knowledge-2102.06271"/></url>
<url><loc>https://scifaro.com/en/abs/on-agnostic-pac-learning-using-mathcal-l-2-polynomial-regression-and-fourier-based-algorithms-2102.06277</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-agnostic-pac-learning-using-mathcal-l-2-polynomial-regression-and-fourier-based-algorithms-2102.06277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-agnostic-pac-learning-using-mathcal-l-2-polynomial-regression-and-fourier-based-algorithms-2102.06277"/></url>
<url><loc>https://scifaro.com/en/abs/straggler-resilient-distributed-machine-learning-with-dynamic-backup-workers-2102.06280</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/straggler-resilient-distributed-machine-learning-with-dynamic-backup-workers-2102.06280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/straggler-resilient-distributed-machine-learning-with-dynamic-backup-workers-2102.06280"/></url>
<url><loc>https://scifaro.com/en/abs/when-and-how-mixup-improves-calibration-2102.06289</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-and-how-mixup-improves-calibration-2102.06289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-and-how-mixup-improves-calibration-2102.06289"/></url>
<url><loc>https://scifaro.com/en/abs/no-regret-algorithms-for-time-varying-bayesian-optimization-2102.06296</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-regret-algorithms-for-time-varying-bayesian-optimization-2102.06296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-regret-algorithms-for-time-varying-bayesian-optimization-2102.06296"/></url>
<url><loc>https://scifaro.com/en/abs/what-does-lime-really-see-in-images-2102.06307</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-does-lime-really-see-in-images-2102.06307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-does-lime-really-see-in-images-2102.06307"/></url>
<url><loc>https://scifaro.com/en/abs/stragglers-are-not-disaster-a-hybrid-federated-learning-algorithm-with-delayed-gradients-2102.06329</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stragglers-are-not-disaster-a-hybrid-federated-learning-algorithm-with-delayed-gradients-2102.06329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stragglers-are-not-disaster-a-hybrid-federated-learning-algorithm-with-delayed-gradients-2102.06329"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-algorithms-for-federated-saddle-point-optimization-2102.06333</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-algorithms-for-federated-saddle-point-optimization-2102.06333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-algorithms-for-federated-saddle-point-optimization-2102.06333"/></url>
<url><loc>https://scifaro.com/en/abs/dancing-along-battery-enabling-transformer-with-run-time-reconfigurability-on-mobile-devices-2102.06336</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dancing-along-battery-enabling-transformer-with-run-time-reconfigurability-on-mobile-devices-2102.06336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dancing-along-battery-enabling-transformer-with-run-time-reconfigurability-on-mobile-devices-2102.06336"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-graphical-neural-network-for-parameter-state-estimations-in-power-systems-2102.06349</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-graphical-neural-network-for-parameter-state-estimations-in-power-systems-2102.06349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-graphical-neural-network-for-parameter-state-estimations-in-power-systems-2102.06349"/></url>
<url><loc>https://scifaro.com/en/abs/projected-wasserstein-gradient-descent-for-high-dimensional-bayesian-inference-2102.06350</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projected-wasserstein-gradient-descent-for-high-dimensional-bayesian-inference-2102.06350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projected-wasserstein-gradient-descent-for-high-dimensional-bayesian-inference-2102.06350"/></url>
<url><loc>https://scifaro.com/en/abs/a-large-batch-optimizer-reality-check-traditional-generic-optimizers-suffice-across-batch-sizes-2102.06356</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-large-batch-optimizer-reality-check-traditional-generic-optimizers-suffice-across-batch-sizes-2102.06356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-large-batch-optimizer-reality-check-traditional-generic-optimizers-suffice-across-batch-sizes-2102.06356"/></url>
<url><loc>https://scifaro.com/en/abs/scout-socially-consistent-and-understandable-graph-attention-network-for-trajectory-prediction-of-vehicles-and-vrus-2102.06361</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scout-socially-consistent-and-understandable-graph-attention-network-for-trajectory-prediction-of-vehicles-and-vrus-2102.06361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scout-socially-consistent-and-understandable-graph-attention-network-for-trajectory-prediction-of-vehicles-and-vrus-2102.06361"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-precision-analog-computing-for-neural-networks-2102.06365</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-precision-analog-computing-for-neural-networks-2102.06365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-precision-analog-computing-for-neural-networks-2102.06365"/></url>
<url><loc>https://scifaro.com/en/abs/confounding-tradeoffs-for-neural-network-quantization-2102.06366</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confounding-tradeoffs-for-neural-network-quantization-2102.06366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confounding-tradeoffs-for-neural-network-quantization-2102.06366"/></url>
<url><loc>https://scifaro.com/en/abs/multiplex-bipartite-network-embedding-using-dual-hypergraph-convolutional-networks-2102.06371</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiplex-bipartite-network-embedding-using-dual-hypergraph-convolutional-networks-2102.06371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiplex-bipartite-network-embedding-using-dual-hypergraph-convolutional-networks-2102.06371"/></url>
<url><loc>https://scifaro.com/en/abs/the-symmetry-between-arms-and-knapsacks-a-primal-dual-approach-for-bandits-with-knapsacks-2102.06385</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-symmetry-between-arms-and-knapsacks-a-primal-dual-approach-for-bandits-with-knapsacks-2102.06385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-symmetry-between-arms-and-knapsacks-a-primal-dual-approach-for-bandits-with-knapsacks-2102.06385"/></url>
<url><loc>https://scifaro.com/en/abs/the-distributed-discrete-gaussian-mechanism-for-federated-learning-with-secure-aggregation-2102.06387</loc><lastmod>2022-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-distributed-discrete-gaussian-mechanism-for-federated-learning-with-secure-aggregation-2102.06387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-distributed-discrete-gaussian-mechanism-for-federated-learning-with-secure-aggregation-2102.06387"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-training-of-spiking-neural-networks-for-robust-deployment-on-mixed-signal-neuromorphic-processors-2102.06408</loc><lastmod>2022-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-training-of-spiking-neural-networks-for-robust-deployment-on-mixed-signal-neuromorphic-processors-2102.06408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-training-of-spiking-neural-networks-for-robust-deployment-on-mixed-signal-neuromorphic-processors-2102.06408"/></url>
<url><loc>https://scifaro.com/en/abs/broad-unet-multi-scale-feature-learning-for-nowcasting-tasks-2102.06442</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/broad-unet-multi-scale-feature-learning-for-nowcasting-tasks-2102.06442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/broad-unet-multi-scale-feature-learning-for-nowcasting-tasks-2102.06442"/></url>
<url><loc>https://scifaro.com/en/abs/two-sides-of-the-same-coin-heterophily-and-oversmoothing-in-graph-convolutional-neural-networks-2102.06462</loc><lastmod>2022-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-sides-of-the-same-coin-heterophily-and-oversmoothing-in-graph-convolutional-neural-networks-2102.06462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-sides-of-the-same-coin-heterophily-and-oversmoothing-in-graph-convolutional-neural-networks-2102.06462"/></url>
<url><loc>https://scifaro.com/en/abs/universal-adversarial-perturbations-through-the-lens-of-deep-steganography-towards-a-fourier-perspective-2102.06479</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-adversarial-perturbations-through-the-lens-of-deep-steganography-towards-a-fourier-perspective-2102.06479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-adversarial-perturbations-through-the-lens-of-deep-steganography-towards-a-fourier-perspective-2102.06479"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bayesian-inverse-reinforcement-learning-2102.06483</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bayesian-inverse-reinforcement-learning-2102.06483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bayesian-inverse-reinforcement-learning-2102.06483"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-intelligent-framework-for-rockfall-detection-2102.06491</loc><lastmod>2022-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-intelligent-framework-for-rockfall-detection-2102.06491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-intelligent-framework-for-rockfall-detection-2102.06491"/></url>
<url><loc>https://scifaro.com/en/abs/depthwise-separable-convolutions-allow-for-fast-and-memory-efficient-spectral-normalization-2102.06496</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depthwise-separable-convolutions-allow-for-fast-and-memory-efficient-spectral-normalization-2102.06496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depthwise-separable-convolutions-allow-for-fast-and-memory-efficient-spectral-normalization-2102.06496"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-predictive-maintenance-for-hard-drives-2102.06509</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-predictive-maintenance-for-hard-drives-2102.06509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-predictive-maintenance-for-hard-drives-2102.06509"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-representation-learning-on-graphs-via-bootstrapping-2102.06514</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-representation-learning-on-graphs-via-bootstrapping-2102.06514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-representation-learning-on-graphs-via-bootstrapping-2102.06514"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-reinforcement-learning-for-evaluating-robustness-of-knn-search-algorithms-2102.06525</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-reinforcement-learning-for-evaluating-robustness-of-knn-search-algorithms-2102.06525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-reinforcement-learning-for-evaluating-robustness-of-knn-search-algorithms-2102.06525"/></url>
<url><loc>https://scifaro.com/en/abs/jacobian-determinant-of-normalizing-flows-2102.06539</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jacobian-determinant-of-normalizing-flows-2102.06539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jacobian-determinant-of-normalizing-flows-2102.06539"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-spline-models-for-the-training-of-fully-connected-layers-in-neural-network-2102.06554</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-spline-models-for-the-training-of-fully-connected-layers-in-neural-network-2102.06554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-spline-models-for-the-training-of-fully-connected-layers-in-neural-network-2102.06554"/></url>
<url><loc>https://scifaro.com/en/abs/online-graph-dictionary-learning-2102.06555</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-graph-dictionary-learning-2102.06555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-graph-dictionary-learning-2102.06555"/></url>
<url><loc>https://scifaro.com/en/abs/how-far-should-we-look-back-to-achieve-effective-real-time-time-series-anomaly-detection-2102.06560</loc><lastmod>2023-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-far-should-we-look-back-to-achieve-effective-real-time-time-series-anomaly-detection-2102.06560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-far-should-we-look-back-to-achieve-effective-real-time-time-series-anomaly-detection-2102.06560"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-and-applications-of-quantiles-in-deep-binary-classification-2102.06575</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-and-applications-of-quantiles-in-deep-binary-classification-2102.06575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-and-applications-of-quantiles-in-deep-binary-classification-2102.06575"/></url>
<url><loc>https://scifaro.com/en/abs/a-computability-perspective-on-verified-machine-learning-2102.06585</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-computability-perspective-on-verified-machine-learning-2102.06585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-computability-perspective-on-verified-machine-learning-2102.06585"/></url>
<url><loc>https://scifaro.com/en/abs/disturbing-reinforcement-learning-agents-with-corrupted-rewards-2102.06587</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disturbing-reinforcement-learning-agents-with-corrupted-rewards-2102.06587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disturbing-reinforcement-learning-agents-with-corrupted-rewards-2102.06587"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-meta-learning-via-pac-bayes-and-uniform-stability-2102.06589</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-meta-learning-via-pac-bayes-and-uniform-stability-2102.06589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-meta-learning-via-pac-bayes-and-uniform-stability-2102.06589"/></url>
<url><loc>https://scifaro.com/en/abs/neural-architecture-search-as-program-transformation-exploration-2102.06599</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-architecture-search-as-program-transformation-exploration-2102.06599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-architecture-search-as-program-transformation-exploration-2102.06599"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-dynamic-user-interests-a-neural-matrix-factorization-approach-2102.06602</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-dynamic-user-interests-a-neural-matrix-factorization-approach-2102.06602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-dynamic-user-interests-a-neural-matrix-factorization-approach-2102.06602"/></url>
<url><loc>https://scifaro.com/en/abs/semantically-conditioned-negative-samples-for-efficient-contrastive-learning-2102.06603</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantically-conditioned-negative-samples-for-efficient-contrastive-learning-2102.06603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantically-conditioned-negative-samples-for-efficient-contrastive-learning-2102.06603"/></url>
<url><loc>https://scifaro.com/en/abs/cockpit-a-practical-debugging-tool-for-the-training-of-deep-neural-networks-2102.06604</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cockpit-a-practical-debugging-tool-for-the-training-of-deep-neural-networks-2102.06604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cockpit-a-practical-debugging-tool-for-the-training-of-deep-neural-networks-2102.06604"/></url>
<url><loc>https://scifaro.com/en/abs/metagrad-adaptation-using-multiple-learning-rates-in-online-learning-2102.06622</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metagrad-adaptation-using-multiple-learning-rates-in-online-learning-2102.06622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metagrad-adaptation-using-multiple-learning-rates-in-online-learning-2102.06622"/></url>
<url><loc>https://scifaro.com/en/abs/do-calculus-enables-estimation-of-causal-effects-in-partially-observed-biomolecular-pathways-2102.06626</loc><lastmod>2022-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-calculus-enables-estimation-of-causal-effects-in-partially-observed-biomolecular-pathways-2102.06626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-calculus-enables-estimation-of-causal-effects-in-partially-observed-biomolecular-pathways-2102.06626"/></url>
<url><loc>https://scifaro.com/en/abs/relu-neural-networks-of-polynomial-size-for-exact-maximum-flow-computation-2102.06635</loc><lastmod>2024-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relu-neural-networks-of-polynomial-size-for-exact-maximum-flow-computation-2102.06635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relu-neural-networks-of-polynomial-size-for-exact-maximum-flow-computation-2102.06635"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-quadrature-on-riemannian-data-manifolds-2102.06645</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-quadrature-on-riemannian-data-manifolds-2102.06645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-quadrature-on-riemannian-data-manifolds-2102.06645"/></url>
<url><loc>https://scifaro.com/en/abs/a-critical-look-at-the-consistency-of-causal-estimation-with-deep-latent-variable-models-2102.06648</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-critical-look-at-the-consistency-of-causal-estimation-with-deep-latent-variable-models-2102.06648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-critical-look-at-the-consistency-of-causal-estimation-with-deep-latent-variable-models-2102.06648"/></url>
<url><loc>https://scifaro.com/en/abs/a-model-for-traffic-incident-prediction-using-emergency-braking-data-2102.06674</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-model-for-traffic-incident-prediction-using-emergency-braking-data-2102.06674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-model-for-traffic-incident-prediction-using-emergency-braking-data-2102.06674"/></url>
<url><loc>https://scifaro.com/en/abs/deepgleam-a-hybrid-mechanistic-and-deep-learning-model-for-covid-19-forecasting-2102.06684</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepgleam-a-hybrid-mechanistic-and-deep-learning-model-for-covid-19-forecasting-2102.06684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepgleam-a-hybrid-mechanistic-and-deep-learning-model-for-covid-19-forecasting-2102.06684"/></url>
<url><loc>https://scifaro.com/en/abs/bias-free-scalable-gaussian-processes-via-randomized-truncations-2102.06695</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-free-scalable-gaussian-processes-via-randomized-truncations-2102.06695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-free-scalable-gaussian-processes-via-randomized-truncations-2102.06695"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-paradox-of-certified-training-2102.06700</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-paradox-of-certified-training-2102.06700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-paradox-of-certified-training-2102.06700"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-neural-scaling-laws-2102.06701</loc><lastmod>2024-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-neural-scaling-laws-2102.06701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-neural-scaling-laws-2102.06701"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-and-federated-random-reshuffling-2102.06704</loc><lastmod>2021-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-and-federated-random-reshuffling-2102.06704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-and-federated-random-reshuffling-2102.06704"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-libraries-a-deep-learning-framework-designed-from-engineers-perspectives-2102.06725</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-libraries-a-deep-learning-framework-designed-from-engineers-perspectives-2102.06725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-libraries-a-deep-learning-framework-designed-from-engineers-perspectives-2102.06725"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-neural-networks-under-agnostic-corrupted-supervision-2102.06735</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-neural-networks-under-agnostic-corrupted-supervision-2102.06735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-neural-networks-under-agnostic-corrupted-supervision-2102.06735"/></url>
<url><loc>https://scifaro.com/en/abs/kronecker-factored-quasi-newton-methods-for-deep-learning-2102.06737</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kronecker-factored-quasi-newton-methods-for-deep-learning-2102.06737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kronecker-factored-quasi-newton-methods-for-deep-learning-2102.06737"/></url>
<url><loc>https://scifaro.com/en/abs/appearance-of-random-matrix-theory-in-deep-learning-2102.06740</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/appearance-of-random-matrix-theory-in-deep-learning-2102.06740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/appearance-of-random-matrix-theory-in-deep-learning-2102.06740"/></url>
<url><loc>https://scifaro.com/en/abs/discovery-of-options-via-meta-learned-subgoals-2102.06741</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovery-of-options-via-meta-learned-subgoals-2102.06741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovery-of-options-via-meta-learned-subgoals-2102.06741"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-data-visualization-and-denoising-with-integrated-diffusion-2102.06757</loc><lastmod>2022-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-data-visualization-and-denoising-with-integrated-diffusion-2102.06757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-data-visualization-and-denoising-with-integrated-diffusion-2102.06757"/></url>
<url><loc>https://scifaro.com/en/abs/on-automatic-extraction-of-on-street-parking-spaces-using-park-out-events-data-2102.06758</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-automatic-extraction-of-on-street-parking-spaces-using-park-out-events-data-2102.06758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-automatic-extraction-of-on-street-parking-spaces-using-park-out-events-data-2102.06758"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-langevin-dynamics-with-variance-reduction-2102.06759</loc><lastmod>2024-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-langevin-dynamics-with-variance-reduction-2102.06759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-langevin-dynamics-with-variance-reduction-2102.06759"/></url>
<url><loc>https://scifaro.com/en/abs/mimic-if-interpretability-and-fairness-evaluation-of-deep-learning-models-on-mimic-iv-dataset-2102.06761</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mimic-if-interpretability-and-fairness-evaluation-of-deep-learning-models-on-mimic-iv-dataset-2102.06761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mimic-if-interpretability-and-fairness-evaluation-of-deep-learning-models-on-mimic-iv-dataset-2102.06761"/></url>
<url><loc>https://scifaro.com/en/abs/technical-challenges-for-training-fair-neural-networks-2102.06764</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/technical-challenges-for-training-fair-neural-networks-2102.06764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/technical-challenges-for-training-fair-neural-networks-2102.06764"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-decision-making-for-automated-driving-with-an-invariant-environment-representation-using-deep-reinforcement-learning-2102.06765</loc><lastmod>2022-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-decision-making-for-automated-driving-with-an-invariant-environment-representation-using-deep-reinforcement-learning-2102.06765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-decision-making-for-automated-driving-with-an-invariant-environment-representation-using-deep-reinforcement-learning-2102.06765"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-mechanical-ventilation-control-2102.06779</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-mechanical-ventilation-control-2102.06779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-mechanical-ventilation-control-2102.06779"/></url>
<url><loc>https://scifaro.com/en/abs/q-value-weighted-regression-reinforcement-learning-with-limited-data-2102.06782</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/q-value-weighted-regression-reinforcement-learning-with-limited-data-2102.06782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/q-value-weighted-regression-reinforcement-learning-with-limited-data-2102.06782"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-lottery-ticket-hypothesis-for-graph-neural-networks-2102.06790</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-lottery-ticket-hypothesis-for-graph-neural-networks-2102.06790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-lottery-ticket-hypothesis-for-graph-neural-networks-2102.06790"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-data-poisoning-on-graph-neural-networks-2102.06800</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-data-poisoning-on-graph-neural-networks-2102.06800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-data-poisoning-on-graph-neural-networks-2102.06800"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-self-supervised-learning-dynamics-without-contrastive-pairs-2102.06810</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-self-supervised-learning-dynamics-without-contrastive-pairs-2102.06810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-self-supervised-learning-dynamics-without-contrastive-pairs-2102.06810"/></url>
<url><loc>https://scifaro.com/en/abs/demystifying-inductive-biases-for-beta-vae-based-architectures-2102.06822</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-inductive-biases-for-beta-vae-based-architectures-2102.06822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-inductive-biases-for-beta-vae-based-architectures-2102.06822"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-for-time-series-forecasting-via-attention-sharing-2102.06828</loc><lastmod>2022-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-for-time-series-forecasting-via-attention-sharing-2102.06828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-for-time-series-forecasting-via-attention-sharing-2102.06828"/></url>
<url><loc>https://scifaro.com/en/abs/distilling-double-descent-2102.06849</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilling-double-descent-2102.06849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilling-double-descent-2102.06849"/></url>
<url><loc>https://scifaro.com/en/abs/equilibrium-inverse-reinforcement-learning-for-ride-hailing-vehicle-network-2102.06854</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equilibrium-inverse-reinforcement-learning-for-ride-hailing-vehicle-network-2102.06854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equilibrium-inverse-reinforcement-learning-for-ride-hailing-vehicle-network-2102.06854"/></url>
<url><loc>https://scifaro.com/en/abs/on-robust-optimal-transport-computational-complexity-and-barycenter-computation-2102.06857</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-robust-optimal-transport-computational-complexity-and-barycenter-computation-2102.06857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-robust-optimal-transport-computational-complexity-and-barycenter-computation-2102.06857"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-proximal-of-gans-2102.06862</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-proximal-of-gans-2102.06862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-proximal-of-gans-2102.06862"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-negative-samples-in-instance-discriminative-self-supervised-representation-learning-2102.06866</loc><lastmod>2022-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-negative-samples-in-instance-discriminative-self-supervised-representation-learning-2102.06866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-negative-samples-in-instance-discriminative-self-supervised-representation-learning-2102.06866"/></url>
<url><loc>https://scifaro.com/en/abs/self-reorganizing-and-rejuvenating-cnns-for-increasing-model-capacity-utilization-2102.06870</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-reorganizing-and-rejuvenating-cnns-for-increasing-model-capacity-utilization-2102.06870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-reorganizing-and-rejuvenating-cnns-for-increasing-model-capacity-utilization-2102.06870"/></url>
<url><loc>https://scifaro.com/en/abs/improved-corruption-robust-algorithms-for-episodic-reinforcement-learning-2102.06875</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-corruption-robust-algorithms-for-episodic-reinforcement-learning-2102.06875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-corruption-robust-algorithms-for-episodic-reinforcement-learning-2102.06875"/></url>
<url><loc>https://scifaro.com/en/abs/online-apprenticeship-learning-2102.06924</loc><lastmod>2021-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-apprenticeship-learning-2102.06924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-apprenticeship-learning-2102.06924"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-artificial-intelligence-methods-for-predicting-air-demand-in-dam-bottom-outlet-2102.06929</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-artificial-intelligence-methods-for-predicting-air-demand-in-dam-bottom-outlet-2102.06929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-artificial-intelligence-methods-for-predicting-air-demand-in-dam-bottom-outlet-2102.06929"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-smoothed-online-learning-2102.06933</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-smoothed-online-learning-2102.06933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-smoothed-online-learning-2102.06933"/></url>
<url><loc>https://scifaro.com/en/abs/crosslight-a-cross-layer-optimized-silicon-photonic-neural-network-accelerator-2102.06960</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crosslight-a-cross-layer-optimized-silicon-photonic-neural-network-accelerator-2102.06960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crosslight-a-cross-layer-optimized-silicon-photonic-neural-network-accelerator-2102.06960"/></url>
<url><loc>https://scifaro.com/en/abs/persim-data-efficient-offline-reinforcement-learning-with-heterogeneous-agents-via-personalized-simulators-2102.06961</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/persim-data-efficient-offline-reinforcement-learning-with-heterogeneous-agents-via-personalized-simulators-2102.06961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/persim-data-efficient-offline-reinforcement-learning-with-heterogeneous-agents-via-personalized-simulators-2102.06961"/></url>
<url><loc>https://scifaro.com/en/abs/graph-convolution-for-semi-supervised-classification-improved-linear-separability-and-out-of-distribution-generalization-2102.06966</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-convolution-for-semi-supervised-classification-improved-linear-separability-and-out-of-distribution-generalization-2102.06966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-convolution-for-semi-supervised-classification-improved-linear-separability-and-out-of-distribution-generalization-2102.06966"/></url>
<url><loc>https://scifaro.com/en/abs/how-framelets-enhance-graph-neural-networks-2102.06986</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-framelets-enhance-graph-neural-networks-2102.06986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-framelets-enhance-graph-neural-networks-2102.06986"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-last-iterate-convergence-of-momentum-methods-2102.07002</loc><lastmod>2022-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-last-iterate-convergence-of-momentum-methods-2102.07002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-last-iterate-convergence-of-momentum-methods-2102.07002"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-group-sparse-autoencoders-2102.07003</loc><lastmod>2022-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-group-sparse-autoencoders-2102.07003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-group-sparse-autoencoders-2102.07003"/></url>
<url><loc>https://scifaro.com/en/abs/weight-initialization-techniques-for-deep-learning-algorithms-in-remote-sensing-recent-trends-and-future-perspectives-2102.07004</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weight-initialization-techniques-for-deep-learning-algorithms-in-remote-sensing-recent-trends-and-future-perspectives-2102.07004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weight-initialization-techniques-for-deep-learning-algorithms-in-remote-sensing-recent-trends-and-future-perspectives-2102.07004"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-relational-approach-to-learning-distance-based-gcns-2102.07007</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-relational-approach-to-learning-distance-based-gcns-2102.07007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-relational-approach-to-learning-distance-based-gcns-2102.07007"/></url>
<url><loc>https://scifaro.com/en/abs/theta-fast-and-robust-clustering-via-a-distance-parameter-2102.07028</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theta-fast-and-robust-clustering-via-a-distance-parameter-2102.07028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theta-fast-and-robust-clustering-via-a-distance-parameter-2102.07028"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-representation-learning-and-exploration-in-low-rank-mdps-2102.07035</loc><lastmod>2022-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-representation-learning-and-exploration-in-low-rank-mdps-2102.07035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-representation-learning-and-exploration-in-low-rank-mdps-2102.07035"/></url>
<url><loc>https://scifaro.com/en/abs/connecting-interpretability-and-robustness-in-decision-trees-through-separation-2102.07048</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/connecting-interpretability-and-robustness-in-decision-trees-through-separation-2102.07048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/connecting-interpretability-and-robustness-in-decision-trees-through-separation-2102.07048"/></url>
<url><loc>https://scifaro.com/en/abs/linear-convergence-in-federated-learning-tackling-client-heterogeneity-and-sparse-gradients-2102.07053</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-convergence-in-federated-learning-tackling-client-heterogeneity-and-sparse-gradients-2102.07053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-convergence-in-federated-learning-tackling-client-heterogeneity-and-sparse-gradients-2102.07053"/></url>
<url><loc>https://scifaro.com/en/abs/a-forward-backward-greedy-approach-for-sparse-multiscale-learning-2102.07068</loc><lastmod>2022-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-forward-backward-greedy-approach-for-sparse-multiscale-learning-2102.07068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-forward-backward-greedy-approach-for-sparse-multiscale-learning-2102.07068"/></url>
<url><loc>https://scifaro.com/en/abs/doping-a-technique-for-efficient-compression-of-lstm-models-using-sparse-structured-additive-matrices-2102.07071</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doping-a-technique-for-efficient-compression-of-lstm-models-using-sparse-structured-additive-matrices-2102.07071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doping-a-technique-for-efficient-compression-of-lstm-models-using-sparse-structured-additive-matrices-2102.07071"/></url>
<url><loc>https://scifaro.com/en/abs/costly-features-classification-using-monte-carlo-tree-search-2102.07073</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/costly-features-classification-using-monte-carlo-tree-search-2102.07073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/costly-features-classification-using-monte-carlo-tree-search-2102.07073"/></url>
<url><loc>https://scifaro.com/en/abs/tight-lower-bounds-for-dynamic-time-warping-2102.07076</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-lower-bounds-for-dynamic-time-warping-2102.07076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-lower-bounds-for-dynamic-time-warping-2102.07076"/></url>
<url><loc>https://scifaro.com/en/abs/model-agnostic-graph-regularization-for-few-shot-learning-2102.07077</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-agnostic-graph-regularization-for-few-shot-learning-2102.07077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-agnostic-graph-regularization-for-few-shot-learning-2102.07077"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-shared-representations-for-personalized-federated-learning-2102.07078</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-shared-representations-for-personalized-federated-learning-2102.07078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-shared-representations-for-personalized-federated-learning-2102.07078"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adversarial-reinforcement-learning-2102.07097</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adversarial-reinforcement-learning-2102.07097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adversarial-reinforcement-learning-2102.07097"/></url>
<url><loc>https://scifaro.com/en/abs/cate-computation-aware-neural-architecture-encoding-with-transformers-2102.07108</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cate-computation-aware-neural-architecture-encoding-with-transformers-2102.07108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cate-computation-aware-neural-architecture-encoding-with-transformers-2102.07108"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-methods-for-the-design-and-operation-of-liquid-rocket-engines-research-activities-at-the-dlr-institute-of-space-propulsion-2102.07109</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-methods-for-the-design-and-operation-of-liquid-rocket-engines-research-activities-at-the-dlr-institute-of-space-propulsion-2102.07109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-methods-for-the-design-and-operation-of-liquid-rocket-engines-research-activities-at-the-dlr-institute-of-space-propulsion-2102.07109"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-algorithm-for-hidden-markov-models-learning-problem-2102.07112</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-algorithm-for-hidden-markov-models-learning-problem-2102.07112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-algorithm-for-hidden-markov-models-learning-problem-2102.07112"/></url>
<url><loc>https://scifaro.com/en/abs/comprehensive-comparative-study-of-multi-label-classification-methods-2102.07113</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comprehensive-comparative-study-of-multi-label-classification-methods-2102.07113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comprehensive-comparative-study-of-multi-label-classification-methods-2102.07113"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-meta-learning-2102.07121</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-meta-learning-2102.07121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-meta-learning-2102.07121"/></url>
<url><loc>https://scifaro.com/en/abs/self-regulated-learning-mechanism-for-data-efficient-knowledge-distillation-2102.07125</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-regulated-learning-mechanism-for-data-efficient-knowledge-distillation-2102.07125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-regulated-learning-mechanism-for-data-efficient-knowledge-distillation-2102.07125"/></url>
<url><loc>https://scifaro.com/en/abs/perceptually-constrained-adversarial-attacks-2102.07140</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perceptually-constrained-adversarial-attacks-2102.07140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perceptually-constrained-adversarial-attacks-2102.07140"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-look-and-convergence-rate-of-federated-multi-task-learning-with-laplacian-regularization-2102.07148</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-look-and-convergence-rate-of-federated-multi-task-learning-with-laplacian-regularization-2102.07148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-look-and-convergence-rate-of-federated-multi-task-learning-with-laplacian-regularization-2102.07148"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-second-order-methods-with-fast-rates-and-compressed-communication-2102.07158</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-second-order-methods-with-fast-rates-and-compressed-communication-2102.07158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-second-order-methods-with-fast-rates-and-compressed-communication-2102.07158"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attack-on-network-embeddings-via-supervised-network-poisoning-2102.07164</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attack-on-network-embeddings-via-supervised-network-poisoning-2102.07164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attack-on-network-embeddings-via-supervised-network-poisoning-2102.07164"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-free-uncertainty-for-the-minimum-norm-solution-of-over-parameterized-linear-regression-2102.07181</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-free-uncertainty-for-the-minimum-norm-solution-of-over-parameterized-linear-regression-2102.07181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-free-uncertainty-for-the-minimum-norm-solution-of-over-parameterized-linear-regression-2102.07181"/></url>
<url><loc>https://scifaro.com/en/abs/relation-aware-graph-attention-model-with-adaptive-self-adversarial-training-2102.07186</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relation-aware-graph-attention-model-with-adaptive-self-adversarial-training-2102.07186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relation-aware-graph-attention-model-with-adaptive-self-adversarial-training-2102.07186"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-graph-embedding-using-graph-convolutional-networks-with-relation-aware-attention-2102.07200</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-graph-embedding-using-graph-convolutional-networks-with-relation-aware-attention-2102.07200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-graph-embedding-using-graph-convolutional-networks-with-relation-aware-attention-2102.07200"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-subspace-based-representations-for-nonlinear-meta-learning-2102.07206</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-subspace-based-representations-for-nonlinear-meta-learning-2102.07206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-subspace-based-representations-for-nonlinear-meta-learning-2102.07206"/></url>
<url><loc>https://scifaro.com/en/abs/reversible-action-design-for-combinatorial-optimization-with-reinforcement-learning-2102.07210</loc><lastmod>2022-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reversible-action-design-for-combinatorial-optimization-with-reinforcement-learning-2102.07210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reversible-action-design-for-combinatorial-optimization-with-reinforcement-learning-2102.07210"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-meta-learning-with-continual-trajectory-shifting-2102.07215</loc><lastmod>2022-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-meta-learning-with-continual-trajectory-shifting-2102.07215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-meta-learning-with-continual-trajectory-shifting-2102.07215"/></url>
<url><loc>https://scifaro.com/en/abs/smoothness-matrices-beat-smoothness-constants-better-communication-compression-techniques-for-distributed-optimization-2102.07245</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothness-matrices-beat-smoothness-constants-better-communication-compression-techniques-for-distributed-optimization-2102.07245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothness-matrices-beat-smoothness-constants-better-communication-compression-techniques-for-distributed-optimization-2102.07245"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-iot-security-a-comprehensive-survey-2102.07247</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-iot-security-a-comprehensive-survey-2102.07247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-iot-security-a-comprehensive-survey-2102.07247"/></url>
<url><loc>https://scifaro.com/en/abs/a-glimpse-of-physical-layer-decision-mechanisms-facts-challenges-and-remedies-2102.07258</loc><lastmod>2022-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-glimpse-of-physical-layer-decision-mechanisms-facts-challenges-and-remedies-2102.07258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-glimpse-of-physical-layer-decision-mechanisms-facts-challenges-and-remedies-2102.07258"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-adversarial-robustness-of-deep-metric-learning-2102.07265</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-adversarial-robustness-of-deep-metric-learning-2102.07265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-adversarial-robustness-of-deep-metric-learning-2102.07265"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-attention-guided-dynamic-value-estimation-for-single-task-multi-scene-reinforcement-learning-2102.07266</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-attention-guided-dynamic-value-estimation-for-single-task-multi-scene-reinforcement-learning-2102.07266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-attention-guided-dynamic-value-estimation-for-single-task-multi-scene-reinforcement-learning-2102.07266"/></url>
<url><loc>https://scifaro.com/en/abs/robust-classification-using-hidden-markov-models-and-mixtures-of-normalizing-flows-2102.07284</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-classification-using-hidden-markov-models-and-mixtures-of-normalizing-flows-2102.07284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-classification-using-hidden-markov-models-and-mixtures-of-normalizing-flows-2102.07284"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-adversarial-model-for-suffix-and-remaining-time-prediction-of-event-sequences-2102.07298</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-adversarial-model-for-suffix-and-remaining-time-prediction-of-event-sequences-2102.07298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-adversarial-model-for-suffix-and-remaining-time-prediction-of-event-sequences-2102.07298"/></url>
<url><loc>https://scifaro.com/en/abs/nearly-minimax-optimal-regret-for-learning-infinite-horizon-average-reward-mdps-with-linear-function-approximation-2102.07301</loc><lastmod>2022-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nearly-minimax-optimal-regret-for-learning-infinite-horizon-average-reward-mdps-with-linear-function-approximation-2102.07301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nearly-minimax-optimal-regret-for-learning-infinite-horizon-average-reward-mdps-with-linear-function-approximation-2102.07301"/></url>
<url><loc>https://scifaro.com/en/abs/cap-gan-towards-adversarial-robustness-with-cycle-consistent-attentional-purification-2102.07304</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cap-gan-towards-adversarial-robustness-with-cycle-consistent-attentional-purification-2102.07304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cap-gan-towards-adversarial-robustness-with-cycle-consistent-attentional-purification-2102.07304"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-momentum-parameters-in-the-optimal-convergence-of-adaptive-polyak-s-heavy-ball-methods-2102.07314</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-momentum-parameters-in-the-optimal-convergence-of-adaptive-polyak-s-heavy-ball-methods-2102.07314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-momentum-parameters-in-the-optimal-convergence-of-adaptive-polyak-s-heavy-ball-methods-2102.07314"/></url>
<url><loc>https://scifaro.com/en/abs/guided-interpolation-for-adversarial-training-2102.07327</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guided-interpolation-for-adversarial-training-2102.07327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guided-interpolation-for-adversarial-training-2102.07327"/></url>
<url><loc>https://scifaro.com/en/abs/attribution-mask-filtering-out-irrelevant-features-by-recursively-focusing-attention-on-inputs-of-dnns-2102.07332</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attribution-mask-filtering-out-irrelevant-features-by-recursively-focusing-attention-on-inputs-of-dnns-2102.07332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attribution-mask-filtering-out-irrelevant-features-by-recursively-focusing-attention-on-inputs-of-dnns-2102.07332"/></url>
<url><loc>https://scifaro.com/en/abs/developing-parsimonious-ensembles-using-predictor-diversity-within-a-reinforcement-learning-framework-2102.07344</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/developing-parsimonious-ensembles-using-predictor-diversity-within-a-reinforcement-learning-framework-2102.07344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/developing-parsimonious-ensembles-using-predictor-diversity-within-a-reinforcement-learning-framework-2102.07344"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-theory-of-implicit-deep-learning-global-convergence-with-implicit-layers-2102.07346</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-theory-of-implicit-deep-learning-global-convergence-with-implicit-layers-2102.07346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-theory-of-implicit-deep-learning-global-convergence-with-implicit-layers-2102.07346"/></url>
<url><loc>https://scifaro.com/en/abs/weak-adaptation-learning-addressing-cross-domain-data-insufficiency-with-weak-annotator-2102.07358</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weak-adaptation-learning-addressing-cross-domain-data-insufficiency-with-weak-annotator-2102.07358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weak-adaptation-learning-addressing-cross-domain-data-insufficiency-with-weak-annotator-2102.07358"/></url>
<url><loc>https://scifaro.com/en/abs/intelligent-electric-vehicle-charging-recommendation-based-on-multi-agent-reinforcement-learning-2102.07359</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intelligent-electric-vehicle-charging-recommendation-based-on-multi-agent-reinforcement-learning-2102.07359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intelligent-electric-vehicle-charging-recommendation-based-on-multi-agent-reinforcement-learning-2102.07359"/></url>
<url><loc>https://scifaro.com/en/abs/generating-structured-adversarial-attacks-using-frank-wolfe-method-2102.07360</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-structured-adversarial-attacks-using-frank-wolfe-method-2102.07360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-structured-adversarial-attacks-using-frank-wolfe-method-2102.07360"/></url>
<url><loc>https://scifaro.com/en/abs/intermediate-layer-optimization-for-inverse-problems-using-deep-generative-models-2102.07364</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intermediate-layer-optimization-for-inverse-problems-using-deep-generative-models-2102.07364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intermediate-layer-optimization-for-inverse-problems-using-deep-generative-models-2102.07364"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-batch-selection-policy-for-active-metric-learning-2102.07365</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-batch-selection-policy-for-active-metric-learning-2102.07365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-batch-selection-policy-for-active-metric-learning-2102.07365"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-inherent-regularization-effects-of-noise-injection-during-training-2102.07379</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-inherent-regularization-effects-of-noise-injection-during-training-2102.07379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-inherent-regularization-effects-of-noise-injection-during-training-2102.07379"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-regret-algorithm-for-pseudo-1d-bandit-convex-optimization-2102.07387</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-regret-algorithm-for-pseudo-1d-bandit-convex-optimization-2102.07387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-regret-algorithm-for-pseudo-1d-bandit-convex-optimization-2102.07387"/></url>
<url><loc>https://scifaro.com/en/abs/and-or-trade-off-in-artificial-neurons-impact-on-adversarial-robustness-2102.07389</loc><lastmod>2023-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/and-or-trade-off-in-artificial-neurons-impact-on-adversarial-robustness-2102.07389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/and-or-trade-off-in-artificial-neurons-impact-on-adversarial-robustness-2102.07389"/></url>
<url><loc>https://scifaro.com/en/abs/information-flows-of-diverse-autoencoders-2102.07402</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-flows-of-diverse-autoencoders-2102.07402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-flows-of-diverse-autoencoders-2102.07402"/></url>
<url><loc>https://scifaro.com/en/abs/almost-optimal-algorithms-for-two-player-zero-sum-linear-mixture-markov-games-2102.07404</loc><lastmod>2022-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/almost-optimal-algorithms-for-two-player-zero-sum-linear-mixture-markov-games-2102.07404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/almost-optimal-algorithms-for-two-player-zero-sum-linear-mixture-markov-games-2102.07404"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-to-object-conditional-validity-with-inductive-conformal-predictors-2102.07436</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-to-object-conditional-validity-with-inductive-conformal-predictors-2102.07436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-to-object-conditional-validity-with-inductive-conformal-predictors-2102.07436"/></url>
<url><loc>https://scifaro.com/en/abs/data-quality-matters-for-adversarial-training-an-empirical-study-2102.07437</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-quality-matters-for-adversarial-training-an-empirical-study-2102.07437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-quality-matters-for-adversarial-training-an-empirical-study-2102.07437"/></url>
<url><loc>https://scifaro.com/en/abs/neuro-algorithmic-policies-enable-fast-combinatorial-generalization-2102.07456</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuro-algorithmic-policies-enable-fast-combinatorial-generalization-2102.07456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuro-algorithmic-policies-enable-fast-combinatorial-generalization-2102.07456"/></url>
<url><loc>https://scifaro.com/en/abs/dac-deep-autoencoder-based-clustering-a-general-deep-learning-framework-of-representation-learning-2102.07472</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dac-deep-autoencoder-based-clustering-a-general-deep-learning-framework-of-representation-learning-2102.07472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dac-deep-autoencoder-based-clustering-a-general-deep-learning-framework-of-representation-learning-2102.07472"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-impact-of-device-and-behavioral-heterogeneity-in-federated-learning-2102.07500</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-impact-of-device-and-behavioral-heterogeneity-in-federated-learning-2102.07500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-impact-of-device-and-behavioral-heterogeneity-in-federated-learning-2102.07500"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-learning-for-the-long-term-consolidation-with-an-artificial-hippocampal-algorithm-2102.07503</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-learning-for-the-long-term-consolidation-with-an-artificial-hippocampal-algorithm-2102.07503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-learning-for-the-long-term-consolidation-with-an-artificial-hippocampal-algorithm-2102.07503"/></url>
<url><loc>https://scifaro.com/en/abs/gradpim-a-practical-processing-in-dram-architecture-for-gradient-descent-2102.07511</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradpim-a-practical-processing-in-dram-architecture-for-gradient-descent-2102.07511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradpim-a-practical-processing-in-dram-architecture-for-gradient-descent-2102.07511"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-online-learning-for-joint-regret-with-communication-constraints-2102.07521</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-online-learning-for-joint-regret-with-communication-constraints-2102.07521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-online-learning-for-joint-regret-with-communication-constraints-2102.07521"/></url>
<url><loc>https://scifaro.com/en/abs/wgan-with-an-infinitely-wide-generator-has-no-spurious-stationary-points-2102.07541</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wgan-with-an-infinitely-wide-generator-has-no-spurious-stationary-points-2102.07541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wgan-with-an-infinitely-wide-generator-has-no-spurious-stationary-points-2102.07541"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-gaussian-process-inference-with-derivatives-2102.07542</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-gaussian-process-inference-with-derivatives-2102.07542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-gaussian-process-inference-with-derivatives-2102.07542"/></url>
<url><loc>https://scifaro.com/en/abs/learning-accurate-decision-trees-with-bandit-feedback-via-quantized-gradient-descent-2102.07567</loc><lastmod>2022-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-accurate-decision-trees-with-bandit-feedback-via-quantized-gradient-descent-2102.07567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-accurate-decision-trees-with-bandit-feedback-via-quantized-gradient-descent-2102.07567"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-future-wireless-networks-a-comprehensive-survey-2102.07572</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-future-wireless-networks-a-comprehensive-survey-2102.07572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-future-wireless-networks-a-comprehensive-survey-2102.07572"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-quadratic-loss-for-svm-and-deep-neural-networks-2102.07606</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-quadratic-loss-for-svm-and-deep-neural-networks-2102.07606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-quadratic-loss-for-svm-and-deep-neural-networks-2102.07606"/></url>
<url><loc>https://scifaro.com/en/abs/a-proof-of-concept-study-for-machine-learning-application-to-stenosis-detection-2102.07614</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-proof-of-concept-study-for-machine-learning-application-to-stenosis-detection-2102.07614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-proof-of-concept-study-for-machine-learning-application-to-stenosis-detection-2102.07614"/></url>
<url><loc>https://scifaro.com/en/abs/learning-image-quality-assessment-by-reinforcing-task-amenable-data-selection-2102.07615</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-image-quality-assessment-by-reinforcing-task-amenable-data-selection-2102.07615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-image-quality-assessment-by-reinforcing-task-amenable-data-selection-2102.07615"/></url>
<url><loc>https://scifaro.com/en/abs/fedbn-federated-learning-on-non-iid-features-via-local-batch-normalization-2102.07623</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedbn-federated-learning-on-non-iid-features-via-local-batch-normalization-2102.07623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedbn-federated-learning-on-non-iid-features-via-local-batch-normalization-2102.07623"/></url>
<url><loc>https://scifaro.com/en/abs/a-first-look-into-the-carbon-footprint-of-federated-learning-2102.07627</loc><lastmod>2023-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-first-look-into-the-carbon-footprint-of-federated-learning-2102.07627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-first-look-into-the-carbon-footprint-of-federated-learning-2102.07627"/></url>
<url><loc>https://scifaro.com/en/abs/ai-uncertainty-based-on-rademacher-complexity-and-shannon-entropy-2102.07638</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ai-uncertainty-based-on-rademacher-complexity-and-shannon-entropy-2102.07638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ai-uncertainty-based-on-rademacher-complexity-and-shannon-entropy-2102.07638"/></url>
<url><loc>https://scifaro.com/en/abs/learning-student-friendly-teacher-networks-for-knowledge-distillation-2102.07650</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-student-friendly-teacher-networks-for-knowledge-distillation-2102.07650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-student-friendly-teacher-networks-for-knowledge-distillation-2102.07650"/></url>
<url><loc>https://scifaro.com/en/abs/dense-for-the-price-of-sparse-improved-performance-of-sparsely-initialized-networks-via-a-subspace-offset-2102.07655</loc><lastmod>2022-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dense-for-the-price-of-sparse-improved-performance-of-sparsely-initialized-networks-via-a-subspace-offset-2102.07655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dense-for-the-price-of-sparse-improved-performance-of-sparsely-initialized-networks-via-a-subspace-offset-2102.07655"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-topology-optimization-in-3d-via-deep-transfer-learning-2102.07657</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-topology-optimization-in-3d-via-deep-transfer-learning-2102.07657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-topology-optimization-in-3d-via-deep-transfer-learning-2102.07657"/></url>
<url><loc>https://scifaro.com/en/abs/comparative-code-structure-analysis-using-deep-learning-for-performance-prediction-2102.07660</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparative-code-structure-analysis-using-deep-learning-for-performance-prediction-2102.07660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparative-code-structure-analysis-using-deep-learning-for-performance-prediction-2102.07660"/></url>
<url><loc>https://scifaro.com/en/abs/a-closer-look-at-temporal-variability-in-dynamic-online-learning-2102.07666</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-closer-look-at-temporal-variability-in-dynamic-online-learning-2102.07666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-closer-look-at-temporal-variability-in-dynamic-online-learning-2102.07666"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-feature-performance-under-downsampling-for-eeg-classification-tasks-2102.07669</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-feature-performance-under-downsampling-for-eeg-classification-tasks-2102.07669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-feature-performance-under-downsampling-for-eeg-classification-tasks-2102.07669"/></url>
<url><loc>https://scifaro.com/en/abs/translational-equivariance-in-kernelizable-attention-2102.07680</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/translational-equivariance-in-kernelizable-attention-2102.07680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/translational-equivariance-in-kernelizable-attention-2102.07680"/></url>
<url><loc>https://scifaro.com/en/abs/does-the-adam-optimizer-exacerbate-catastrophic-forgetting-2102.07686</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-the-adam-optimizer-exacerbate-catastrophic-forgetting-2102.07686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-the-adam-optimizer-exacerbate-catastrophic-forgetting-2102.07686"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-learn-when-data-reacts-to-your-model-performative-gradient-descent-2102.07698</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-learn-when-data-reacts-to-your-model-performative-gradient-descent-2102.07698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-learn-when-data-reacts-to-your-model-performative-gradient-descent-2102.07698"/></url>
<url><loc>https://scifaro.com/en/abs/saving-stochastic-bandits-from-poisoning-attacks-via-limited-data-verification-2102.07711</loc><lastmod>2022-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/saving-stochastic-bandits-from-poisoning-attacks-via-limited-data-verification-2102.07711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/saving-stochastic-bandits-from-poisoning-attacks-via-limited-data-verification-2102.07711"/></url>
<url><loc>https://scifaro.com/en/abs/ti-capsule-capsule-network-for-stock-exchange-prediction-2102.07718</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ti-capsule-capsule-network-for-stock-exchange-prediction-2102.07718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ti-capsule-capsule-network-for-stock-exchange-prediction-2102.07718"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-compression-for-noisy-storage-devices-2102.07725</loc><lastmod>2023-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-compression-for-noisy-storage-devices-2102.07725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-compression-for-noisy-storage-devices-2102.07725"/></url>
<url><loc>https://scifaro.com/en/abs/network-of-tensor-time-series-2102.07736</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-of-tensor-time-series-2102.07736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-of-tensor-time-series-2102.07736"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-quality-driven-view-of-mlops-2102.07750</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-quality-driven-view-of-mlops-2102.07750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-quality-driven-view-of-mlops-2102.07750"/></url>
<url><loc>https://scifaro.com/en/abs/deep-co-attention-network-for-multi-view-subspace-learning-2102.07751</loc><lastmod>2021-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-co-attention-network-for-multi-view-subspace-learning-2102.07751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-co-attention-network-for-multi-view-subspace-learning-2102.07751"/></url>
<url><loc>https://scifaro.com/en/abs/membership-inference-attacks-are-easier-on-difficult-problems-2102.07762</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/membership-inference-attacks-are-easier-on-difficult-problems-2102.07762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/membership-inference-attacks-are-easier-on-difficult-problems-2102.07762"/></url>
<url><loc>https://scifaro.com/en/abs/variable-importance-scores-2102.07765</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-importance-scores-2102.07765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-importance-scores-2102.07765"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-distributed-cooperative-learning-with-compressed-beliefs-2102.07767</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-distributed-cooperative-learning-with-compressed-beliefs-2102.07767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-distributed-cooperative-learning-with-compressed-beliefs-2102.07767"/></url>
<url><loc>https://scifaro.com/en/abs/neural-posterior-regularization-for-likelihood-free-inference-2102.07770</loc><lastmod>2022-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-posterior-regularization-for-likelihood-free-inference-2102.07770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-posterior-regularization-for-likelihood-free-inference-2102.07770"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-of-riemannian-hidden-markov-models-in-homogeneous-hadamard-spaces-2102.07771</loc><lastmod>2022-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-of-riemannian-hidden-markov-models-in-homogeneous-hadamard-spaces-2102.07771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-of-riemannian-hidden-markov-models-in-homogeneous-hadamard-spaces-2102.07771"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-with-arbitrary-covariate-shift-2102.07802</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-with-arbitrary-covariate-shift-2102.07802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-with-arbitrary-covariate-shift-2102.07802"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-exact-neural-network-compression-by-relu-stability-2102.07804</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-exact-neural-network-compression-by-relu-stability-2102.07804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-exact-neural-network-compression-by-relu-stability-2102.07804"/></url>
<url><loc>https://scifaro.com/en/abs/hdmi-high-order-deep-multiplex-infomax-2102.07810</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hdmi-high-order-deep-multiplex-infomax-2102.07810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hdmi-high-order-deep-multiplex-infomax-2102.07810"/></url>
<url><loc>https://scifaro.com/en/abs/online-hyperparameter-optimization-by-real-time-recurrent-learning-2102.07813</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-hyperparameter-optimization-by-real-time-recurrent-learning-2102.07813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-hyperparameter-optimization-by-real-time-recurrent-learning-2102.07813"/></url>
<url><loc>https://scifaro.com/en/abs/certified-robustness-to-programmable-transformations-in-lstms-2102.07818</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certified-robustness-to-programmable-transformations-in-lstms-2102.07818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certified-robustness-to-programmable-transformations-in-lstms-2102.07818"/></url>
<url><loc>https://scifaro.com/en/abs/using-data-assimilation-to-train-a-hybrid-forecast-system-that-combines-machine-learning-and-knowledge-based-components-2102.07819</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-data-assimilation-to-train-a-hybrid-forecast-system-that-combines-machine-learning-and-knowledge-based-components-2102.07819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-data-assimilation-to-train-a-hybrid-forecast-system-that-combines-machine-learning-and-knowledge-based-components-2102.07819"/></url>
<url><loc>https://scifaro.com/en/abs/an-operator-theoretic-approach-for-analyzing-sequence-neural-networks-2102.07824</loc><lastmod>2023-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-operator-theoretic-approach-for-analyzing-sequence-neural-networks-2102.07824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-operator-theoretic-approach-for-analyzing-sequence-neural-networks-2102.07824"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-for-radar-waveform-classification-2102.07827</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-for-radar-waveform-classification-2102.07827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-for-radar-waveform-classification-2102.07827"/></url>
<url><loc>https://scifaro.com/en/abs/one-line-to-rule-them-all-generating-lo-shot-soft-label-prototypes-2102.07834</loc><lastmod>2022-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-line-to-rule-them-all-generating-lo-shot-soft-label-prototypes-2102.07834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-line-to-rule-them-all-generating-lo-shot-soft-label-prototypes-2102.07834"/></url>
<url><loc>https://scifaro.com/en/abs/topological-graph-neural-networks-2102.07835</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-graph-neural-networks-2102.07835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-graph-neural-networks-2102.07835"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-deep-learning-methods-for-analysing-and-predicting-business-processes-2102.07838</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-deep-learning-methods-for-analysing-and-predicting-business-processes-2102.07838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-deep-learning-methods-for-analysing-and-predicting-business-processes-2102.07838"/></url>
<url><loc>https://scifaro.com/en/abs/marina-faster-non-convex-distributed-learning-with-compression-2102.07845</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/marina-faster-non-convex-distributed-learning-with-compression-2102.07845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/marina-faster-non-convex-distributed-learning-with-compression-2102.07845"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-misinformation-from-website-screenshots-2102.07849</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-misinformation-from-website-screenshots-2102.07849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-misinformation-from-website-screenshots-2102.07849"/></url>
<url><loc>https://scifaro.com/en/abs/don-t-just-blame-over-parametrization-for-over-confidence-theoretical-analysis-of-calibration-in-binary-classification-2102.07856</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/don-t-just-blame-over-parametrization-for-over-confidence-theoretical-analysis-of-calibration-in-binary-classification-2102.07856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/don-t-just-blame-over-parametrization-for-over-confidence-theoretical-analysis-of-calibration-in-binary-classification-2102.07856"/></url>
<url><loc>https://scifaro.com/en/abs/knh-multi-view-modeling-with-k-nearest-hyperplanes-graph-for-misinformation-detection-2102.07857</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knh-multi-view-modeling-with-k-nearest-hyperplanes-graph-for-misinformation-detection-2102.07857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knh-multi-view-modeling-with-k-nearest-hyperplanes-graph-for-misinformation-detection-2102.07857"/></url>
<url><loc>https://scifaro.com/en/abs/low-curvature-activations-reduce-overfitting-in-adversarial-training-2102.07861</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-curvature-activations-reduce-overfitting-in-adversarial-training-2102.07861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-curvature-activations-reduce-overfitting-in-adversarial-training-2102.07861"/></url>
<url><loc>https://scifaro.com/en/abs/unified-shapley-framework-to-explain-prediction-drift-2102.07862</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-shapley-framework-to-explain-prediction-drift-2102.07862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-shapley-framework-to-explain-prediction-drift-2102.07862"/></url>
<url><loc>https://scifaro.com/en/abs/gp-tree-a-gaussian-process-classifier-for-few-shot-incremental-learning-2102.07868</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gp-tree-a-gaussian-process-classifier-for-few-shot-incremental-learning-2102.07868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gp-tree-a-gaussian-process-classifier-for-few-shot-incremental-learning-2102.07868"/></url>
<url><loc>https://scifaro.com/en/abs/momentum-residual-neural-networks-2102.07870</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/momentum-residual-neural-networks-2102.07870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/momentum-residual-neural-networks-2102.07870"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-constrained-policy-optimization-via-unbalanced-optimal-transport-2102.07889</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-constrained-policy-optimization-via-unbalanced-optimal-transport-2102.07889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-constrained-policy-optimization-via-unbalanced-optimal-transport-2102.07889"/></url>
<url><loc>https://scifaro.com/en/abs/data-interpolation-accuracy-comparison-gravity-model-versus-radial-basis-function-2102.07890</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-interpolation-accuracy-comparison-gravity-model-versus-radial-basis-function-2102.07890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-interpolation-accuracy-comparison-gravity-model-versus-radial-basis-function-2102.07890"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-graph-learning-for-molecular-property-prediction-2102.07916</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-graph-learning-for-molecular-property-prediction-2102.07916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-graph-learning-for-molecular-property-prediction-2102.07916"/></url>
<url><loc>https://scifaro.com/en/abs/training-larger-networks-for-deep-reinforcement-learning-2102.07920</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-larger-networks-for-deep-reinforcement-learning-2102.07920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-larger-networks-for-deep-reinforcement-learning-2102.07920"/></url>
<url><loc>https://scifaro.com/en/abs/structured-dropout-variational-inference-for-bayesian-neural-networks-2102.07927</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-dropout-variational-inference-for-bayesian-neural-networks-2102.07927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-dropout-variational-inference-for-bayesian-neural-networks-2102.07927"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-algorithms-for-differentially-private-online-learning-in-a-stochastic-environment-2102.07929</loc><lastmod>2024-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-algorithms-for-differentially-private-online-learning-in-a-stochastic-environment-2102.07929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-algorithms-for-differentially-private-online-learning-in-a-stochastic-environment-2102.07929"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-reinforcement-learning-in-a-continuous-state-space-with-formal-guarantees-2102.07937</loc><lastmod>2022-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-in-a-continuous-state-space-with-formal-guarantees-2102.07937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-in-a-continuous-state-space-with-formal-guarantees-2102.07937"/></url>
<url><loc>https://scifaro.com/en/abs/structured-graph-learning-for-scalable-subspace-clustering-from-single-view-to-multi-view-2102.07943</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-graph-learning-for-scalable-subspace-clustering-from-single-view-to-multi-view-2102.07943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-graph-learning-for-scalable-subspace-clustering-from-single-view-to-multi-view-2102.07943"/></url>
<url><loc>https://scifaro.com/en/abs/local-hyper-flow-diffusion-2102.07945</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-hyper-flow-diffusion-2102.07945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-hyper-flow-diffusion-2102.07945"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-machine-learning-for-computer-architecture-and-systems-2102.07952</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-machine-learning-for-computer-architecture-and-systems-2102.07952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-machine-learning-for-computer-architecture-and-systems-2102.07952"/></url>
<url><loc>https://scifaro.com/en/abs/offline-model-based-optimization-via-normalized-maximum-likelihood-estimation-2102.07970</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-model-based-optimization-via-normalized-maximum-likelihood-estimation-2102.07970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-model-based-optimization-via-normalized-maximum-likelihood-estimation-2102.07970"/></url>
<url><loc>https://scifaro.com/en/abs/a-sub-band-approach-to-deep-denoising-wavelet-networks-and-a-frequency-adaptive-loss-for-perceptual-quality-2102.07973</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-sub-band-approach-to-deep-denoising-wavelet-networks-and-a-frequency-adaptive-loss-for-perceptual-quality-2102.07973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-sub-band-approach-to-deep-denoising-wavelet-networks-and-a-frequency-adaptive-loss-for-perceptual-quality-2102.07973"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-descent-aggregation-framework-for-gradient-based-bi-level-optimization-2102.07976</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-descent-aggregation-framework-for-gradient-based-bi-level-optimization-2102.07976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-descent-aggregation-framework-for-gradient-based-bi-level-optimization-2102.07976"/></url>
<url><loc>https://scifaro.com/en/abs/terapipe-token-level-pipeline-parallelism-for-training-large-scale-language-models-2102.07988</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/terapipe-token-level-pipeline-parallelism-for-training-large-scale-language-models-2102.07988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/terapipe-token-level-pipeline-parallelism-for-training-large-scale-language-models-2102.07988"/></url>
<url><loc>https://scifaro.com/en/abs/training-stacked-denoising-autoencoders-for-representation-learning-2102.08012</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-stacked-denoising-autoencoders-for-representation-learning-2102.08012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-stacked-denoising-autoencoders-for-representation-learning-2102.08012"/></url>
<url><loc>https://scifaro.com/en/abs/a-thorough-view-of-exact-inference-in-graphs-from-the-degree-4-sum-of-squares-hierarchy-2102.08019</loc><lastmod>2022-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-thorough-view-of-exact-inference-in-graphs-from-the-degree-4-sum-of-squares-hierarchy-2102.08019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-thorough-view-of-exact-inference-in-graphs-from-the-degree-4-sum-of-squares-hierarchy-2102.08019"/></url>
<url><loc>https://scifaro.com/en/abs/joint-self-supervised-blind-denoising-and-noise-estimation-2102.08023</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-self-supervised-blind-denoising-and-noise-estimation-2102.08023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-self-supervised-blind-denoising-and-noise-estimation-2102.08023"/></url>
<url><loc>https://scifaro.com/en/abs/edith-ecg-biometrics-aided-by-deep-learning-for-reliable-individual-authentication-2102.08026</loc><lastmod>2022-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edith-ecg-biometrics-aided-by-deep-learning-for-reliable-individual-authentication-2102.08026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edith-ecg-biometrics-aided-by-deep-learning-for-reliable-individual-authentication-2102.08026"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-adaptation-for-mmwave-beam-tracking-on-overhead-messenger-wires-through-robust-adversarial-reinforcement-learning-2102.08055</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-adaptation-for-mmwave-beam-tracking-on-overhead-messenger-wires-through-robust-adversarial-reinforcement-learning-2102.08055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-adaptation-for-mmwave-beam-tracking-on-overhead-messenger-wires-through-robust-adversarial-reinforcement-learning-2102.08055"/></url>
<url><loc>https://scifaro.com/en/abs/steadily-learn-to-drive-with-virtual-memory-2102.08072</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/steadily-learn-to-drive-with-virtual-memory-2102.08072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/steadily-learn-to-drive-with-virtual-memory-2102.08072"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-features-based-eeg-signal-denoising-using-fractionally-compressed-autoencoder-2102.08083</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-features-based-eeg-signal-denoising-using-fractionally-compressed-autoencoder-2102.08083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-features-based-eeg-signal-denoising-using-fractionally-compressed-autoencoder-2102.08083"/></url>
<url><loc>https://scifaro.com/en/abs/an-automl-based-approach-to-multimodal-image-sentiment-analysis-2102.08092</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-automl-based-approach-to-multimodal-image-sentiment-analysis-2102.08092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-automl-based-approach-to-multimodal-image-sentiment-analysis-2102.08092"/></url>
<url><loc>https://scifaro.com/en/abs/gradinit-learning-to-initialize-neural-networks-for-stable-and-efficient-training-2102.08098</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradinit-learning-to-initialize-neural-networks-for-stable-and-efficient-training-2102.08098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradinit-learning-to-initialize-neural-networks-for-stable-and-efficient-training-2102.08098"/></url>
<url><loc>https://scifaro.com/en/abs/epe-nas-efficient-performance-estimation-without-training-for-neural-architecture-search-2102.08099</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/epe-nas-efficient-performance-estimation-without-training-for-neural-architecture-search-2102.08099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/epe-nas-efficient-performance-estimation-without-training-for-neural-architecture-search-2102.08099"/></url>
<url><loc>https://scifaro.com/en/abs/chickenpox-cases-in-hungary-a-benchmark-dataset-for-spatiotemporal-signal-processing-with-graph-neural-networks-2102.08100</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chickenpox-cases-in-hungary-a-benchmark-dataset-for-spatiotemporal-signal-processing-with-graph-neural-networks-2102.08100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chickenpox-cases-in-hungary-a-benchmark-dataset-for-spatiotemporal-signal-processing-with-graph-neural-networks-2102.08100"/></url>
<url><loc>https://scifaro.com/en/abs/message-passing-descent-for-efficient-machine-learning-2102.08110</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/message-passing-descent-for-efficient-machine-learning-2102.08110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/message-passing-descent-for-efficient-machine-learning-2102.08110"/></url>
<url><loc>https://scifaro.com/en/abs/rmix-learning-risk-sensitive-policies-for-cooperative-reinforcement-learning-agents-2102.08159</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rmix-learning-risk-sensitive-policies-for-cooperative-reinforcement-learning-agents-2102.08159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rmix-learning-risk-sensitive-policies-for-cooperative-reinforcement-learning-agents-2102.08159"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-floor-plans-into-hedonic-models-for-rent-price-appraisal-2102.08162</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-floor-plans-into-hedonic-models-for-rent-price-appraisal-2102.08162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-floor-plans-into-hedonic-models-for-rent-price-appraisal-2102.08162"/></url>
<url><loc>https://scifaro.com/en/abs/differential-privacy-and-byzantine-resilience-in-sgd-do-they-add-up-2102.08166</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-privacy-and-byzantine-resilience-in-sgd-do-they-add-up-2102.08166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-privacy-and-byzantine-resilience-in-sgd-do-they-add-up-2102.08166"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-multiclass-classifiers-using-binary-classifiers-under-log-loss-2102.08184</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-multiclass-classifiers-using-binary-classifiers-under-log-loss-2102.08184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-multiclass-classifiers-using-binary-classifiers-under-log-loss-2102.08184"/></url>
<url><loc>https://scifaro.com/en/abs/improper-reinforcement-learning-with-gradient-based-policy-optimization-2102.08201</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improper-reinforcement-learning-with-gradient-based-policy-optimization-2102.08201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improper-reinforcement-learning-with-gradient-based-policy-optimization-2102.08201"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-lower-bounds-on-prediction-dimension-of-consistent-convex-surrogates-2102.08218</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-lower-bounds-on-prediction-dimension-of-consistent-convex-surrogates-2102.08218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-lower-bounds-on-prediction-dimension-of-consistent-convex-surrogates-2102.08218"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-quantiles-2102.08244</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-quantiles-2102.08244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-quantiles-2102.08244"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-multivariate-weakly-labelled-time-series-with-attention-2102.08245</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-multivariate-weakly-labelled-time-series-with-attention-2102.08245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-multivariate-weakly-labelled-time-series-with-attention-2102.08245"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-vaes-know-what-they-don-t-know-2102.08248</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-vaes-know-what-they-don-t-know-2102.08248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-vaes-know-what-they-don-t-know-2102.08248"/></url>
<url><loc>https://scifaro.com/en/abs/dataset-condensation-with-differentiable-siamese-augmentation-2102.08259</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dataset-condensation-with-differentiable-siamese-augmentation-2102.08259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dataset-condensation-with-differentiable-siamese-augmentation-2102.08259"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-meta-reinforcement-learning-using-graph-structured-surrogate-models-2102.08291</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-meta-reinforcement-learning-using-graph-structured-surrogate-models-2102.08291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-meta-reinforcement-learning-using-graph-structured-surrogate-models-2102.08291"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-weighting-scheme-for-automatic-time-series-data-augmentation-2102.08310</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-weighting-scheme-for-automatic-time-series-data-augmentation-2102.08310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-weighting-scheme-for-automatic-time-series-data-augmentation-2102.08310"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-theoretic-justification-for-model-pruning-2102.08329</loc><lastmod>2022-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-theoretic-justification-for-model-pruning-2102.08329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-theoretic-justification-for-model-pruning-2102.08329"/></url>
<url><loc>https://scifaro.com/en/abs/learning-invariant-representations-using-inverse-contrastive-loss-2102.08343</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-invariant-representations-using-inverse-contrastive-loss-2102.08343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-invariant-representations-using-inverse-contrastive-loss-2102.08343"/></url>
<url><loc>https://scifaro.com/en/abs/topological-deep-learning-classification-neural-networks-2102.08354</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-deep-learning-classification-neural-networks-2102.08354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-deep-learning-classification-neural-networks-2102.08354"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-targeted-forgetting-in-regularization-and-generative-based-continual-learning-models-2102.08355</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-targeted-forgetting-in-regularization-and-generative-based-continual-learning-models-2102.08355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-targeted-forgetting-in-regularization-and-generative-based-continual-learning-models-2102.08355"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-competitions-and-online-learning-with-strategic-forecasters-2102.08358</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-competitions-and-online-learning-with-strategic-forecasters-2102.08358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-competitions-and-online-learning-with-strategic-forecasters-2102.08358"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-covid-19-chest-x-ray-classification-via-orthogonality-constraint-2102.08360</loc><lastmod>2021-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-covid-19-chest-x-ray-classification-via-orthogonality-constraint-2102.08360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-covid-19-chest-x-ray-classification-via-orthogonality-constraint-2102.08360"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-disciplinary-ensemble-algorithm-for-clustering-heterogeneous-datasets-2102.08361</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-disciplinary-ensemble-algorithm-for-clustering-heterogeneous-datasets-2102.08361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-disciplinary-ensemble-algorithm-for-clustering-heterogeneous-datasets-2102.08361"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-approach-for-reinforcement-learning-using-virtual-policy-gradient-for-balancing-an-inverted-pendulum-2102.08362</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-approach-for-reinforcement-learning-using-virtual-policy-gradient-for-balancing-an-inverted-pendulum-2102.08362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-approach-for-reinforcement-learning-using-virtual-policy-gradient-for-balancing-an-inverted-pendulum-2102.08362"/></url>
<url><loc>https://scifaro.com/en/abs/combo-conservative-offline-model-based-policy-optimization-2102.08363</loc><lastmod>2022-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combo-conservative-offline-model-based-policy-optimization-2102.08363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combo-conservative-offline-model-based-policy-optimization-2102.08363"/></url>
<url><loc>https://scifaro.com/en/abs/ctab-gan-effective-table-data-synthesizing-2102.08369</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ctab-gan-effective-table-data-synthesizing-2102.08369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ctab-gan-effective-table-data-synthesizing-2102.08369"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-feature-learning-in-weight-tied-autoencoders-via-the-mean-field-lens-2102.08373</loc><lastmod>2021-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-feature-learning-in-weight-tied-autoencoders-via-the-mean-field-lens-2102.08373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-feature-learning-in-weight-tied-autoencoders-via-the-mean-field-lens-2102.08373"/></url>
<url><loc>https://scifaro.com/en/abs/intsgd-adaptive-floatless-compression-of-stochastic-gradients-2102.08374</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intsgd-adaptive-floatless-compression-of-stochastic-gradients-2102.08374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intsgd-adaptive-floatless-compression-of-stochastic-gradients-2102.08374"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-fairness-of-machine-learning-models-under-uncertain-and-incomplete-information-2102.08410</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-fairness-of-machine-learning-models-under-uncertain-and-incomplete-information-2102.08410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-fairness-of-machine-learning-models-under-uncertain-and-incomplete-information-2102.08410"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-multi-label-classifiers-with-noisy-labels-2102.08427</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-multi-label-classifiers-with-noisy-labels-2102.08427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-multi-label-classifiers-with-noisy-labels-2102.08427"/></url>
<url><loc>https://scifaro.com/en/abs/multi-stage-transmission-line-flow-control-using-centralized-and-decentralized-reinforcement-learning-agents-2102.08430</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-stage-transmission-line-flow-control-using-centralized-and-decentralized-reinforcement-learning-agents-2102.08430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-stage-transmission-line-flow-control-using-centralized-and-decentralized-reinforcement-learning-agents-2102.08430"/></url>
<url><loc>https://scifaro.com/en/abs/complex-momentum-for-optimization-in-games-2102.08431</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complex-momentum-for-optimization-in-games-2102.08431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complex-momentum-for-optimization-in-games-2102.08431"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-neuroscience-research-using-federated-learning-2102.08440</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-neuroscience-research-using-federated-learning-2102.08440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-neuroscience-research-using-federated-learning-2102.08440"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-energy-based-out-of-distribution-detection-using-stiefel-restricted-kernel-machine-2102.08443</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-energy-based-out-of-distribution-detection-using-stiefel-restricted-kernel-machine-2102.08443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-energy-based-out-of-distribution-detection-using-stiefel-restricted-kernel-machine-2102.08443"/></url>
<url><loc>https://scifaro.com/en/abs/smoothed-analysis-with-adaptive-adversaries-2102.08446</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothed-analysis-with-adaptive-adversaries-2102.08446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothed-analysis-with-adaptive-adversaries-2102.08446"/></url>
<url><loc>https://scifaro.com/en/abs/globally-robust-neural-networks-2102.08452</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/globally-robust-neural-networks-2102.08452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/globally-robust-neural-networks-2102.08452"/></url>
<url><loc>https://scifaro.com/en/abs/lexicographically-fair-learning-algorithms-and-generalization-2102.08454</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lexicographically-fair-learning-algorithms-and-generalization-2102.08454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lexicographically-fair-learning-algorithms-and-generalization-2102.08454"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-multi-armed-bandits-with-limited-communication-2102.08462</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-multi-armed-bandits-with-limited-communication-2102.08462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-multi-armed-bandits-with-limited-communication-2102.08462"/></url>
<url><loc>https://scifaro.com/en/abs/robust-factorization-of-real-world-tensor-streams-with-patterns-missing-values-and-outliers-2102.08466</loc><lastmod>2022-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-factorization-of-real-world-tensor-streams-with-patterns-missing-values-and-outliers-2102.08466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-factorization-of-real-world-tensor-streams-with-patterns-missing-values-and-outliers-2102.08466"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-robust-kernel-smoothing-2102.08474</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-robust-kernel-smoothing-2102.08474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-robust-kernel-smoothing-2102.08474"/></url>
<url><loc>https://scifaro.com/en/abs/reward-poisoning-in-reinforcement-learning-attacks-against-unknown-learners-in-unknown-environments-2102.08492</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reward-poisoning-in-reinforcement-learning-attacks-against-unknown-learners-in-unknown-environments-2102.08492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reward-poisoning-in-reinforcement-learning-attacks-against-unknown-learners-in-unknown-environments-2102.08492"/></url>
<url><loc>https://scifaro.com/en/abs/pattern-sampling-for-shapelet-based-time-series-classification-2102.08498</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pattern-sampling-for-shapelet-based-time-series-classification-2102.08498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pattern-sampling-for-shapelet-based-time-series-classification-2102.08498"/></url>
<url><loc>https://scifaro.com/en/abs/deup-direct-epistemic-uncertainty-prediction-2102.08501</loc><lastmod>2023-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deup-direct-epistemic-uncertainty-prediction-2102.08501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deup-direct-epistemic-uncertainty-prediction-2102.08501"/></url>
<url><loc>https://scifaro.com/en/abs/federated-evaluation-and-tuning-for-on-device-personalization-system-design-applications-2102.08503</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-evaluation-and-tuning-for-on-device-personalization-system-design-applications-2102.08503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-evaluation-and-tuning-for-on-device-personalization-system-design-applications-2102.08503"/></url>
<url><loc>https://scifaro.com/en/abs/label-leakage-and-protection-in-two-party-split-learning-2102.08504</loc><lastmod>2022-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-leakage-and-protection-in-two-party-split-learning-2102.08504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-leakage-and-protection-in-two-party-split-learning-2102.08504"/></url>
<url><loc>https://scifaro.com/en/abs/fast-graph-learning-with-unique-optimal-solutions-2102.08530</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-graph-learning-with-unique-optimal-solutions-2102.08530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-graph-learning-with-unique-optimal-solutions-2102.08530"/></url>
<url><loc>https://scifaro.com/en/abs/deepwalking-backwards-from-embeddings-back-to-graphs-2102.08532</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepwalking-backwards-from-embeddings-back-to-graphs-2102.08532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepwalking-backwards-from-embeddings-back-to-graphs-2102.08532"/></url>
<url><loc>https://scifaro.com/en/abs/stateconet-statistical-ecology-neural-networks-for-species-distribution-modeling-2102.08534</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stateconet-statistical-ecology-neural-networks-for-species-distribution-modeling-2102.08534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stateconet-statistical-ecology-neural-networks-for-species-distribution-modeling-2102.08534"/></url>
<url><loc>https://scifaro.com/en/abs/separated-proportional-integral-lagrangian-for-chance-constrained-reinforcement-learning-2102.08539</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/separated-proportional-integral-lagrangian-for-chance-constrained-reinforcement-learning-2102.08539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/separated-proportional-integral-lagrangian-for-chance-constrained-reinforcement-learning-2102.08539"/></url>
<url><loc>https://scifaro.com/en/abs/re-identification-of-individuals-in-genomic-datasets-using-public-face-images-2102.08557</loc><lastmod>2022-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/re-identification-of-individuals-in-genomic-datasets-using-public-face-images-2102.08557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/re-identification-of-individuals-in-genomic-datasets-using-public-face-images-2102.08557"/></url>
<url><loc>https://scifaro.com/en/abs/mode-assisted-joint-training-of-deep-boltzmann-machines-2102.08562</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mode-assisted-joint-training-of-deep-boltzmann-machines-2102.08562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mode-assisted-joint-training-of-deep-boltzmann-machines-2102.08562"/></url>
<url><loc>https://scifaro.com/en/abs/outside-the-echo-chamber-optimizing-the-performative-risk-2102.08570</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outside-the-echo-chamber-optimizing-the-performative-risk-2102.08570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outside-the-echo-chamber-optimizing-the-performative-risk-2102.08570"/></url>
<url><loc>https://scifaro.com/en/abs/firefly-neural-architecture-descent-a-general-approach-for-growing-neural-networks-2102.08574</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/firefly-neural-architecture-descent-a-general-approach-for-growing-neural-networks-2102.08574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/firefly-neural-architecture-descent-a-general-approach-for-growing-neural-networks-2102.08574"/></url>
<url><loc>https://scifaro.com/en/abs/do-gan-a-double-oracle-framework-for-generative-adversarial-networks-2102.08577</loc><lastmod>2022-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-gan-a-double-oracle-framework-for-generative-adversarial-networks-2102.08577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-gan-a-double-oracle-framework-for-generative-adversarial-networks-2102.08577"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-scheduling-of-data-augmentation-for-deep-reinforcement-learning-2102.08581</loc><lastmod>2022-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-scheduling-of-data-augmentation-for-deep-reinforcement-learning-2102.08581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-scheduling-of-data-augmentation-for-deep-reinforcement-learning-2102.08581"/></url>
<url><loc>https://scifaro.com/en/abs/node-select-a-graph-neural-network-based-on-a-selective-propagation-technique-2102.08588</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-select-a-graph-neural-network-based-on-a-selective-propagation-technique-2102.08588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-select-a-graph-neural-network-based-on-a-selective-propagation-technique-2102.08588"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-fully-connected-layers-with-quaternions-parameterization-of-hypercomplex-multiplications-with-1-n-parameters-2102.08597</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-fully-connected-layers-with-quaternions-parameterization-of-hypercomplex-multiplications-with-1-n-parameters-2102.08597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-fully-connected-layers-with-quaternions-parameterization-of-hypercomplex-multiplications-with-1-n-parameters-2102.08597"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-public-data-for-practical-private-query-release-2102.08598</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-public-data-for-practical-private-query-release-2102.08598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-public-data-for-practical-private-query-release-2102.08598"/></url>
<url><loc>https://scifaro.com/en/abs/swad-domain-generalization-by-seeking-flat-minima-2102.08604</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/swad-domain-generalization-by-seeking-flat-minima-2102.08604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/swad-domain-generalization-by-seeking-flat-minima-2102.08604"/></url>
<url><loc>https://scifaro.com/en/abs/centroid-transformers-learning-to-abstract-with-attention-2102.08606</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/centroid-transformers-learning-to-abstract-with-attention-2102.08606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/centroid-transformers-learning-to-abstract-with-attention-2102.08606"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-and-sample-efficiency-of-variance-reduced-policy-gradient-method-2102.08607</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-and-sample-efficiency-of-variance-reduced-policy-gradient-method-2102.08607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-and-sample-efficiency-of-variance-reduced-policy-gradient-method-2102.08607"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-co-design-of-neural-architectures-and-hardware-accelerators-2102.08619</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-co-design-of-neural-architectures-and-hardware-accelerators-2102.08619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-co-design-of-neural-architectures-and-hardware-accelerators-2102.08619"/></url>
<url><loc>https://scifaro.com/en/abs/sinkhorn-label-allocation-semi-supervised-classification-via-annealed-self-training-2102.08622</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sinkhorn-label-allocation-semi-supervised-classification-via-annealed-self-training-2102.08622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sinkhorn-label-allocation-semi-supervised-classification-via-annealed-self-training-2102.08622"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-post-hoc-explainability-of-deep-echo-state-networks-for-time-series-forecasting-image-and-video-classification-2102.08634</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-post-hoc-explainability-of-deep-echo-state-networks-for-time-series-forecasting-image-and-video-classification-2102.08634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-post-hoc-explainability-of-deep-echo-state-networks-for-time-series-forecasting-image-and-video-classification-2102.08634"/></url>
<url><loc>https://scifaro.com/en/abs/preventing-oversmoothing-in-vae-via-generalized-variance-parameterization-2102.08663</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preventing-oversmoothing-in-vae-via-generalized-variance-parameterization-2102.08663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preventing-oversmoothing-in-vae-via-generalized-variance-parameterization-2102.08663"/></url>
<url><loc>https://scifaro.com/en/abs/fully-general-online-imitation-learning-2102.08686</loc><lastmod>2022-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-general-online-imitation-learning-2102.08686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-general-online-imitation-learning-2102.08686"/></url>
<url><loc>https://scifaro.com/en/abs/switch-spaces-learning-product-spaces-with-sparse-gating-2102.08688</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/switch-spaces-learning-product-spaces-with-sparse-gating-2102.08688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/switch-spaces-learning-product-spaces-with-sparse-gating-2102.08688"/></url>
<url><loc>https://scifaro.com/en/abs/training-aware-sigmoidal-optimizer-2102.08716</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-aware-sigmoidal-optimizer-2102.08716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-aware-sigmoidal-optimizer-2102.08716"/></url>
<url><loc>https://scifaro.com/en/abs/ego-based-entropy-measures-for-structural-representations-on-graphs-2102.08735</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ego-based-entropy-measures-for-structural-representations-on-graphs-2102.08735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ego-based-entropy-measures-for-structural-representations-on-graphs-2102.08735"/></url>
<url><loc>https://scifaro.com/en/abs/a-regret-analysis-of-bilateral-trade-2102.08754</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-regret-analysis-of-bilateral-trade-2102.08754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-regret-analysis-of-bilateral-trade-2102.08754"/></url>
<url><loc>https://scifaro.com/en/abs/group-equivariant-conditional-neural-processes-2102.08759</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-equivariant-conditional-neural-processes-2102.08759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-equivariant-conditional-neural-processes-2102.08759"/></url>
<url><loc>https://scifaro.com/en/abs/walking-out-of-the-weisfeiler-leman-hierarchy-graph-learning-beyond-message-passing-2102.08786</loc><lastmod>2023-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/walking-out-of-the-weisfeiler-leman-hierarchy-graph-learning-beyond-message-passing-2102.08786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/walking-out-of-the-weisfeiler-leman-hierarchy-graph-learning-beyond-message-passing-2102.08786"/></url>
<url><loc>https://scifaro.com/en/abs/ppaurora-privacy-preserving-area-under-receiver-operating-characteristic-and-precision-recall-curves-2102.08788</loc><lastmod>2023-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ppaurora-privacy-preserving-area-under-receiver-operating-characteristic-and-precision-recall-curves-2102.08788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ppaurora-privacy-preserving-area-under-receiver-operating-characteristic-and-precision-recall-curves-2102.08788"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-learning-inverts-the-data-generating-process-2102.08850</loc><lastmod>2022-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-learning-inverts-the-data-generating-process-2102.08850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-learning-inverts-the-data-generating-process-2102.08850"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-the-gap-between-adversarial-robustness-and-optimization-bias-2102.08868</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-the-gap-between-adversarial-robustness-and-optimization-bias-2102.08868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-the-gap-between-adversarial-robustness-and-optimization-bias-2102.08868"/></url>
<url><loc>https://scifaro.com/en/abs/online-co-movement-pattern-prediction-in-mobility-data-2102.08870</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-co-movement-pattern-prediction-in-mobility-data-2102.08870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-co-movement-pattern-prediction-in-mobility-data-2102.08870"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-correlation-clustering-2102.08885</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-correlation-clustering-2102.08885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-correlation-clustering-2102.08885"/></url>
<url><loc>https://scifaro.com/en/abs/robust-domain-free-domain-generalization-with-class-aware-alignment-2102.08897</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-domain-free-domain-generalization-with-class-aware-alignment-2102.08897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-domain-free-domain-generalization-with-class-aware-alignment-2102.08897"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-conformal-prediction-with-auxiliary-tasks-2102.08898</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-conformal-prediction-with-auxiliary-tasks-2102.08898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-conformal-prediction-with-auxiliary-tasks-2102.08898"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-policy-optimization-for-two-player-zero-sum-markov-games-2102.08903</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-policy-optimization-for-two-player-zero-sum-markov-games-2102.08903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-policy-optimization-for-two-player-zero-sum-markov-games-2102.08903"/></url>
<url><loc>https://scifaro.com/en/abs/pola-online-time-series-prediction-by-adaptive-learning-rates-2102.08907</loc><lastmod>2021-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pola-online-time-series-prediction-by-adaptive-learning-rates-2102.08907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pola-online-time-series-prediction-by-adaptive-learning-rates-2102.08907"/></url>
<url><loc>https://scifaro.com/en/abs/how-faithful-is-your-synthetic-data-sample-level-metrics-for-evaluating-and-auditing-generative-models-2102.08921</loc><lastmod>2022-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-faithful-is-your-synthetic-data-sample-level-metrics-for-evaluating-and-auditing-generative-models-2102.08921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-faithful-is-your-synthetic-data-sample-level-metrics-for-evaluating-and-auditing-generative-models-2102.08921"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-policy-optimization-algorithms-for-learning-adversarial-linear-mixture-mdps-2102.08940</loc><lastmod>2022-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-policy-optimization-algorithms-for-learning-adversarial-linear-mixture-mdps-2102.08940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-policy-optimization-algorithms-for-learning-adversarial-linear-mixture-mdps-2102.08940"/></url>
<url><loc>https://scifaro.com/en/abs/using-distance-correlation-for-efficient-bayesian-optimization-2102.08993</loc><lastmod>2025-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-distance-correlation-for-efficient-bayesian-optimization-2102.08993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-distance-correlation-for-efficient-bayesian-optimization-2102.08993"/></url>
<url><loc>https://scifaro.com/en/abs/bore-bayesian-optimization-by-density-ratio-estimation-2102.09009</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bore-bayesian-optimization-by-density-ratio-estimation-2102.09009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bore-bayesian-optimization-by-density-ratio-estimation-2102.09009"/></url>
<url><loc>https://scifaro.com/en/abs/improving-hierarchical-adversarial-robustness-of-deep-neural-networks-2102.09012</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-hierarchical-adversarial-robustness-of-deep-neural-networks-2102.09012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-hierarchical-adversarial-robustness-of-deep-neural-networks-2102.09012"/></url>
<url><loc>https://scifaro.com/en/abs/estimate-three-phase-distribution-line-parameters-with-physics-informed-graphical-learning-method-2102.09023</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimate-three-phase-distribution-line-parameters-with-physics-informed-graphical-learning-method-2102.09023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimate-three-phase-distribution-line-parameters-with-physics-informed-graphical-learning-method-2102.09023"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-approaches-for-forecasting-strawberry-yields-and-prices-using-satellite-images-and-station-based-soil-parameters-2102.09024</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-approaches-for-forecasting-strawberry-yields-and-prices-using-satellite-images-and-station-based-soil-parameters-2102.09024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-approaches-for-forecasting-strawberry-yields-and-prices-using-satellite-images-and-station-based-soil-parameters-2102.09024"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-large-scale-hyperparameters-via-automated-learning-algorithm-2102.09026</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-large-scale-hyperparameters-via-automated-learning-algorithm-2102.09026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-large-scale-hyperparameters-via-automated-learning-algorithm-2102.09026"/></url>
<url><loc>https://scifaro.com/en/abs/proactive-dp-a-multple-target-optimization-framework-for-dp-sgd-2102.09030</loc><lastmod>2024-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proactive-dp-a-multple-target-optimization-framework-for-dp-sgd-2102.09030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proactive-dp-a-multple-target-optimization-framework-for-dp-sgd-2102.09030"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-non-parametric-methods-for-maximizing-robustness-2102.09086</loc><lastmod>2023-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-non-parametric-methods-for-maximizing-robustness-2102.09086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-non-parametric-methods-for-maximizing-robustness-2102.09086"/></url>
<url><loc>https://scifaro.com/en/abs/online-k-means-clustering-on-arbitrary-data-streams-2102.09101</loc><lastmod>2022-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-k-means-clustering-on-arbitrary-data-streams-2102.09101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-k-means-clustering-on-arbitrary-data-streams-2102.09101"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-algorithms-for-linearly-solvable-optimal-control-in-networked-multi-agent-systems-2102.09104</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-algorithms-for-linearly-solvable-optimal-control-in-networked-multi-agent-systems-2102.09104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-algorithms-for-linearly-solvable-optimal-control-in-networked-multi-agent-systems-2102.09104"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-online-ml-api-selection-for-multi-label-classification-tasks-2102.09127</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-online-ml-api-selection-for-multi-label-classification-tasks-2102.09127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-online-ml-api-selection-for-multi-label-classification-tasks-2102.09127"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-differentially-private-mean-estimation-2102.09159</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-differentially-private-mean-estimation-2102.09159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-differentially-private-mean-estimation-2102.09159"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sample-complexity-of-stability-constrained-imitation-learning-2102.09161</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-stability-constrained-imitation-learning-2102.09161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-stability-constrained-imitation-learning-2102.09161"/></url>
<url><loc>https://scifaro.com/en/abs/edge-sparse-basis-network-a-deep-learning-framework-for-eeg-source-localization-2102.09188</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edge-sparse-basis-network-a-deep-learning-framework-for-eeg-source-localization-2102.09188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edge-sparse-basis-network-a-deep-learning-framework-for-eeg-source-localization-2102.09188"/></url>
<url><loc>https://scifaro.com/en/abs/seapearl-a-constraint-programming-solver-guided-by-reinforcement-learning-2102.09193</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seapearl-a-constraint-programming-solver-guided-by-reinforcement-learning-2102.09193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seapearl-a-constraint-programming-solver-guided-by-reinforcement-learning-2102.09193"/></url>
<url><loc>https://scifaro.com/en/abs/learning-continuous-exponential-families-beyond-gaussian-2102.09198</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-continuous-exponential-families-beyond-gaussian-2102.09198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-continuous-exponential-families-beyond-gaussian-2102.09198"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-clustering-of-time-series-signals-using-neuromorphic-energy-efficient-temporal-neural-networks-2102.09200</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-clustering-of-time-series-signals-using-neuromorphic-energy-efficient-temporal-neural-networks-2102.09200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-clustering-of-time-series-signals-using-neuromorphic-energy-efficient-temporal-neural-networks-2102.09200"/></url>
<url><loc>https://scifaro.com/en/abs/less-is-more-pre-train-a-strong-text-encoder-for-dense-retrieval-using-a-weak-decoder-2102.09206</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/less-is-more-pre-train-a-strong-text-encoder-for-dense-retrieval-using-a-weak-decoder-2102.09206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/less-is-more-pre-train-a-strong-text-encoder-for-dense-retrieval-using-a-weak-decoder-2102.09206"/></url>
<url><loc>https://scifaro.com/en/abs/learning-memory-dependent-continuous-control-from-demonstrations-2102.09208</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-memory-dependent-continuous-control-from-demonstrations-2102.09208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-memory-dependent-continuous-control-from-demonstrations-2102.09208"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-doubly-constrained-batch-reinforcement-learning-2102.09225</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-doubly-constrained-batch-reinforcement-learning-2102.09225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-doubly-constrained-batch-reinforcement-learning-2102.09225"/></url>
<url><loc>https://scifaro.com/en/abs/random-projections-for-improved-adversarial-robustness-2102.09230</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-projections-for-improved-adversarial-robustness-2102.09230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-projections-for-improved-adversarial-robustness-2102.09230"/></url>
<url><loc>https://scifaro.com/en/abs/a-mathematical-principle-of-deep-learning-learn-the-geodesic-curve-in-the-wasserstein-space-2102.09235</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mathematical-principle-of-deep-learning-learn-the-geodesic-curve-in-the-wasserstein-space-2102.09235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mathematical-principle-of-deep-learning-learn-the-geodesic-curve-in-the-wasserstein-space-2102.09235"/></url>
<url><loc>https://scifaro.com/en/abs/composable-generative-models-2102.09249</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composable-generative-models-2102.09249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composable-generative-models-2102.09249"/></url>
<url><loc>https://scifaro.com/en/abs/strategic-bidding-in-freight-transport-using-deep-reinforcement-learning-2102.09253</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strategic-bidding-in-freight-transport-using-deep-reinforcement-learning-2102.09253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strategic-bidding-in-freight-transport-using-deep-reinforcement-learning-2102.09253"/></url>
<url><loc>https://scifaro.com/en/abs/a-matrix-approach-to-detect-temporal-behavioral-patterns-at-electric-vehicle-charging-stations-2102.09260</loc><lastmod>2022-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-matrix-approach-to-detect-temporal-behavioral-patterns-at-electric-vehicle-charging-stations-2102.09260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-matrix-approach-to-detect-temporal-behavioral-patterns-at-electric-vehicle-charging-stations-2102.09260"/></url>
<url><loc>https://scifaro.com/en/abs/plam-a-posit-logarithm-approximate-multiplier-2102.09262</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plam-a-posit-logarithm-approximate-multiplier-2102.09262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plam-a-posit-logarithm-approximate-multiplier-2102.09262"/></url>
<url><loc>https://scifaro.com/en/abs/dino-a-conditional-energy-based-gan-for-domain-translation-2102.09281</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dino-a-conditional-energy-based-gan-for-domain-translation-2102.09281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dino-a-conditional-energy-based-gan-for-domain-translation-2102.09281"/></url>
<url><loc>https://scifaro.com/en/abs/reduced-order-neural-network-synthesis-with-robustness-guarantees-2102.09284</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reduced-order-neural-network-synthesis-with-robustness-guarantees-2102.09284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reduced-order-neural-network-synthesis-with-robustness-guarantees-2102.09284"/></url>
<url><loc>https://scifaro.com/en/abs/gradfreebits-gradient-free-bit-allocation-for-dynamic-low-precision-neural-networks-2102.09298</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradfreebits-gradient-free-bit-allocation-for-dynamic-low-precision-neural-networks-2102.09298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradfreebits-gradient-free-bit-allocation-for-dynamic-low-precision-neural-networks-2102.09298"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-for-online-convex-optimization-2102.09305</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-for-online-convex-optimization-2102.09305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-for-online-convex-optimization-2102.09305"/></url>
<url><loc>https://scifaro.com/en/abs/vae-approximation-error-elbo-and-exponential-families-2102.09310</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vae-approximation-error-elbo-and-exponential-families-2102.09310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vae-approximation-error-elbo-and-exponential-families-2102.09310"/></url>
<url><loc>https://scifaro.com/en/abs/finite-sample-analysis-of-off-policy-natural-actor-critic-algorithm-2102.09318</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-sample-analysis-of-off-policy-natural-actor-critic-algorithm-2102.09318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-sample-analysis-of-off-policy-natural-actor-critic-algorithm-2102.09318"/></url>
<url><loc>https://scifaro.com/en/abs/harnessing-tensor-structures-multi-mode-reservoir-computing-and-its-application-in-massive-mimo-2102.09322</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harnessing-tensor-structures-multi-mode-reservoir-computing-and-its-application-in-massive-mimo-2102.09322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harnessing-tensor-structures-multi-mode-reservoir-computing-and-its-application-in-massive-mimo-2102.09322"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-datacenter-congestion-control-2102.09337</loc><lastmod>2022-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-datacenter-congestion-control-2102.09337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-datacenter-congestion-control-2102.09337"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptive-learning-based-on-sample-dependent-and-learnable-kernels-2102.09340</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptive-learning-based-on-sample-dependent-and-learnable-kernels-2102.09340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptive-learning-based-on-sample-dependent-and-learnable-kernels-2102.09340"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-reinforcement-learning-in-resource-allocation-problems-through-permutation-invariant-multi-task-learning-2102.09361</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-reinforcement-learning-in-resource-allocation-problems-through-permutation-invariant-multi-task-learning-2102.09361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-reinforcement-learning-in-resource-allocation-problems-through-permutation-invariant-multi-task-learning-2102.09361"/></url>
<url><loc>https://scifaro.com/en/abs/l2e-learning-to-exploit-your-opponent-2102.09381</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l2e-learning-to-exploit-your-opponent-2102.09381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l2e-learning-to-exploit-your-opponent-2102.09381"/></url>
<url><loc>https://scifaro.com/en/abs/recommending-training-set-sizes-for-classification-2102.09382</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recommending-training-set-sizes-for-classification-2102.09382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recommending-training-set-sizes-for-classification-2102.09382"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-stochastic-gradient-descent-schemes-for-lojasiewicz-landscapes-2102.09385</loc><lastmod>2024-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-stochastic-gradient-descent-schemes-for-lojasiewicz-landscapes-2102.09385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-stochastic-gradient-descent-schemes-for-lojasiewicz-landscapes-2102.09385"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-approach-for-early-detection-of-fish-diseases-by-analyzing-water-quality-2102.09390</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-approach-for-early-detection-of-fish-diseases-by-analyzing-water-quality-2102.09390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-approach-for-early-detection-of-fish-diseases-by-analyzing-water-quality-2102.09390"/></url>
<url><loc>https://scifaro.com/en/abs/robust-pdf-document-conversion-using-recurrent-neural-networks-2102.09395</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-pdf-document-conversion-using-recurrent-neural-networks-2102.09395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-pdf-document-conversion-using-recurrent-neural-networks-2102.09395"/></url>
<url><loc>https://scifaro.com/en/abs/a-reinforcement-learning-method-for-optical-thin-film-design-2102.09398</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reinforcement-learning-method-for-optical-thin-film-design-2102.09398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reinforcement-learning-method-for-optical-thin-film-design-2102.09398"/></url>
<url><loc>https://scifaro.com/en/abs/the-wavefunction-of-continuous-time-recurrent-neural-networks-2102.09399</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-wavefunction-of-continuous-time-recurrent-neural-networks-2102.09399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-wavefunction-of-continuous-time-recurrent-neural-networks-2102.09399"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-rational-activations-to-boost-deep-reinforcement-learning-2102.09407</loc><lastmod>2024-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-rational-activations-to-boost-deep-reinforcement-learning-2102.09407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-rational-activations-to-boost-deep-reinforcement-learning-2102.09407"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-model-of-the-combination-of-normalized-sd1-and-sd2-indexes-from-24h-heart-rate-variability-as-a-predictor-of-myocardial-infarction-2102.09410</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-model-of-the-combination-of-normalized-sd1-and-sd2-indexes-from-24h-heart-rate-variability-as-a-predictor-of-myocardial-infarction-2102.09410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-model-of-the-combination-of-normalized-sd1-and-sd2-indexes-from-24h-heart-rate-variability-as-a-predictor-of-myocardial-infarction-2102.09410"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-suicide-and-depression-identification-with-unsupervised-label-correction-2102.09427</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-suicide-and-depression-identification-with-unsupervised-label-correction-2102.09427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-suicide-and-depression-identification-with-unsupervised-label-correction-2102.09427"/></url>
<url><loc>https://scifaro.com/en/abs/state-entropy-maximization-with-random-encoders-for-efficient-exploration-2102.09430</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-entropy-maximization-with-random-encoders-for-efficient-exploration-2102.09430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-entropy-maximization-with-random-encoders-for-efficient-exploration-2102.09430"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-local-convergence-of-alternating-gradient-descent-ascent-for-minimax-optimization-2102.09468</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-local-convergence-of-alternating-gradient-descent-ascent-for-minimax-optimization-2102.09468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-local-convergence-of-alternating-gradient-descent-ascent-for-minimax-optimization-2102.09468"/></url>
<url><loc>https://scifaro.com/en/abs/make-sure-you-re-unsure-a-framework-for-verifying-probabilistic-specifications-2102.09479</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/make-sure-you-re-unsure-a-framework-for-verifying-probabilistic-specifications-2102.09479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/make-sure-you-re-unsure-a-framework-for-verifying-probabilistic-specifications-2102.09479"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-non-invasive-estimation-of-respiration-rate-from-photoplethysmograph-signal-using-machine-learning-model-2102.09483</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-non-invasive-estimation-of-respiration-rate-from-photoplethysmograph-signal-using-machine-learning-model-2102.09483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-non-invasive-estimation-of-respiration-rate-from-photoplethysmograph-signal-using-machine-learning-model-2102.09483"/></url>
<url><loc>https://scifaro.com/en/abs/a-bit-better-quantifying-information-for-bandit-learning-2102.09488</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bit-better-quantifying-information-for-bandit-learning-2102.09488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bit-better-quantifying-information-for-bandit-learning-2102.09488"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-black-box-metrics-with-iterative-example-weighting-2102.09492</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-black-box-metrics-with-iterative-example-weighting-2102.09492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-black-box-metrics-with-iterative-example-weighting-2102.09492"/></url>
<url><loc>https://scifaro.com/en/abs/fuzzy-clustering-algorithms-with-distance-metric-learning-and-entropy-regularization-2102.09529</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fuzzy-clustering-algorithms-with-distance-metric-learning-and-entropy-regularization-2102.09529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fuzzy-clustering-algorithms-with-distance-metric-learning-and-entropy-regularization-2102.09529"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-confidence-sequences-2102.09540</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-confidence-sequences-2102.09540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-confidence-sequences-2102.09540"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-optimization-and-reasoning-with-graph-neural-networks-2102.09544</loc><lastmod>2023-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-optimization-and-reasoning-with-graph-neural-networks-2102.09544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-optimization-and-reasoning-with-graph-neural-networks-2102.09544"/></url>
<url><loc>https://scifaro.com/en/abs/therapeutics-data-commons-machine-learning-datasets-and-tasks-for-drug-discovery-and-development-2102.09548</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/therapeutics-data-commons-machine-learning-datasets-and-tasks-for-drug-discovery-and-development-2102.09548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/therapeutics-data-commons-machine-learning-datasets-and-tasks-for-drug-discovery-and-development-2102.09548"/></url>
<url><loc>https://scifaro.com/en/abs/delving-into-deep-imbalanced-regression-2102.09554</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delving-into-deep-imbalanced-regression-2102.09554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delving-into-deep-imbalanced-regression-2102.09554"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-hypergraph-embedding-meets-relational-algebra-2102.09557</loc><lastmod>2021-02-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-hypergraph-embedding-meets-relational-algebra-2102.09557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-hypergraph-embedding-meets-relational-algebra-2102.09557"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-embedded-refined-clustering-approach-for-breast-cancer-distinction-based-on-dna-methylation-2102.09563</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-embedded-refined-clustering-approach-for-breast-cancer-distinction-based-on-dna-methylation-2102.09563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-embedded-refined-clustering-approach-for-breast-cancer-distinction-based-on-dna-methylation-2102.09563"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-stability-bounds-for-spectral-graph-filters-2102.09587</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-stability-bounds-for-spectral-graph-filters-2102.09587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-stability-bounds-for-spectral-graph-filters-2102.09587"/></url>
<url><loc>https://scifaro.com/en/abs/a-differential-geometry-perspective-on-orthogonal-recurrent-models-2102.09589</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-differential-geometry-perspective-on-orthogonal-recurrent-models-2102.09589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-differential-geometry-perspective-on-orthogonal-recurrent-models-2102.09589"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-kickstarting-deep-reinforcement-learning-with-privacy-aware-learners-2102.09599</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-kickstarting-deep-reinforcement-learning-with-privacy-aware-learners-2102.09599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-kickstarting-deep-reinforcement-learning-with-privacy-aware-learners-2102.09599"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-paralinguistic-properties-in-conversational-speech-to-detect-bipolar-disorder-and-borderline-personality-disorder-2102.09607</loc><lastmod>2022-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-paralinguistic-properties-in-conversational-speech-to-detect-bipolar-disorder-and-borderline-personality-disorder-2102.09607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-paralinguistic-properties-in-conversational-speech-to-detect-bipolar-disorder-and-borderline-personality-disorder-2102.09607"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-unified-framework-for-high-dimensional-bandit-problems-2102.09626</loc><lastmod>2022-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-unified-framework-for-high-dimensional-bandit-problems-2102.09626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-unified-framework-for-high-dimensional-bandit-problems-2102.09626"/></url>
<url><loc>https://scifaro.com/en/abs/peering-beyond-the-gradient-veil-with-distributed-auto-differentiation-2102.09631</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/peering-beyond-the-gradient-veil-with-distributed-auto-differentiation-2102.09631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/peering-beyond-the-gradient-veil-with-distributed-auto-differentiation-2102.09631"/></url>
<url><loc>https://scifaro.com/en/abs/control-variate-approximation-for-dnn-accelerators-2102.09642</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/control-variate-approximation-for-dnn-accelerators-2102.09642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/control-variate-approximation-for-dnn-accelerators-2102.09642"/></url>
<url><loc>https://scifaro.com/en/abs/attempted-blind-constrained-descent-experiments-2102.09643</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attempted-blind-constrained-descent-experiments-2102.09643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attempted-blind-constrained-descent-experiments-2102.09643"/></url>
<url><loc>https://scifaro.com/en/abs/svrg-meets-adagrad-painless-variance-reduction-2102.09645</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/svrg-meets-adagrad-painless-variance-reduction-2102.09645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/svrg-meets-adagrad-painless-variance-reduction-2102.09645"/></url>
<url><loc>https://scifaro.com/en/abs/smart-feasibility-pump-reinforcement-learning-for-mixed-integer-programming-2102.09663</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smart-feasibility-pump-reinforcement-learning-for-mixed-integer-programming-2102.09663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smart-feasibility-pump-reinforcement-learning-for-mixed-integer-programming-2102.09663"/></url>
<url><loc>https://scifaro.com/en/abs/when-are-solutions-connected-in-deep-networks-2102.09671</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-are-solutions-connected-in-deep-networks-2102.09671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-are-solutions-connected-in-deep-networks-2102.09671"/></url>
<url><loc>https://scifaro.com/en/abs/improved-denoising-diffusion-probabilistic-models-2102.09672</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-denoising-diffusion-probabilistic-models-2102.09672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-denoising-diffusion-probabilistic-models-2102.09672"/></url>
<url><loc>https://scifaro.com/en/abs/training-a-resilient-q-network-against-observational-interference-2102.09677</loc><lastmod>2022-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-a-resilient-q-network-against-observational-interference-2102.09677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-a-resilient-q-network-against-observational-interference-2102.09677"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-normalization-2102.09685</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-normalization-2102.09685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-normalization-2102.09685"/></url>
<url><loc>https://scifaro.com/en/abs/fortify-machine-learning-production-systems-detect-and-classify-adversarial-attacks-2102.09695</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fortify-machine-learning-production-systems-detect-and-classify-adversarial-attacks-2102.09695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fortify-machine-learning-production-systems-detect-and-classify-adversarial-attacks-2102.09695"/></url>
<url><loc>https://scifaro.com/en/abs/ai-sarah-adaptive-and-implicit-stochastic-recursive-gradient-methods-2102.09700</loc><lastmod>2022-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ai-sarah-adaptive-and-implicit-stochastic-recursive-gradient-methods-2102.09700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ai-sarah-adaptive-and-implicit-stochastic-recursive-gradient-methods-2102.09700"/></url>
<url><loc>https://scifaro.com/en/abs/center-smoothing-certified-robustness-for-networks-with-structured-outputs-2102.09701</loc><lastmod>2022-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/center-smoothing-certified-robustness-for-networks-with-structured-outputs-2102.09701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/center-smoothing-certified-robustness-for-networks-with-structured-outputs-2102.09701"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-randomized-exploration-for-tabular-markov-decision-processes-2102.09703</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-randomized-exploration-for-tabular-markov-decision-processes-2102.09703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-randomized-exploration-for-tabular-markov-decision-processes-2102.09703"/></url>
<url><loc>https://scifaro.com/en/abs/fair-sparse-regression-with-clustering-an-invex-relaxation-for-a-combinatorial-problem-2102.09704</loc><lastmod>2022-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-sparse-regression-with-clustering-an-invex-relaxation-for-a-combinatorial-problem-2102.09704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-sparse-regression-with-clustering-an-invex-relaxation-for-a-combinatorial-problem-2102.09704"/></url>
<url><loc>https://scifaro.com/en/abs/permutation-based-sgd-is-random-optimal-2102.09718</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/permutation-based-sgd-is-random-optimal-2102.09718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/permutation-based-sgd-is-random-optimal-2102.09718"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-federated-learning-a-unified-framework-and-universal-optimization-techniques-2102.09743</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-federated-learning-a-unified-framework-and-universal-optimization-techniques-2102.09743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-federated-learning-a-unified-framework-and-universal-optimization-techniques-2102.09743"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-deterministic-multi-agent-reinforcement-learning-2102.09745</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-deterministic-multi-agent-reinforcement-learning-2102.09745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-deterministic-multi-agent-reinforcement-learning-2102.09745"/></url>
<url><loc>https://scifaro.com/en/abs/symplectic-adjoint-method-for-exact-gradient-of-neural-ode-with-minimal-memory-2102.09750</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symplectic-adjoint-method-for-exact-gradient-of-neural-ode-with-minimal-memory-2102.09750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symplectic-adjoint-method-for-exact-gradient-of-neural-ode-with-minimal-memory-2102.09750"/></url>
<url><loc>https://scifaro.com/en/abs/tacticzero-learning-to-prove-theorems-from-scratch-with-deep-reinforcement-learning-2102.09756</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tacticzero-learning-to-prove-theorems-from-scratch-with-deep-reinforcement-learning-2102.09756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tacticzero-learning-to-prove-theorems-from-scratch-with-deep-reinforcement-learning-2102.09756"/></url>
<url><loc>https://scifaro.com/en/abs/applications-of-deep-learning-in-traffic-congestion-detection-prediction-and-alleviation-a-survey-2102.09759</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applications-of-deep-learning-in-traffic-congestion-detection-prediction-and-alleviation-a-survey-2102.09759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applications-of-deep-learning-in-traffic-congestion-detection-prediction-and-alleviation-a-survey-2102.09759"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-implicit-bias-of-initialization-shape-beyond-infinitesimal-mirror-descent-2102.09769</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-implicit-bias-of-initialization-shape-beyond-infinitesimal-mirror-descent-2102.09769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-implicit-bias-of-initialization-shape-beyond-infinitesimal-mirror-descent-2102.09769"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-recovery-by-multi-order-partial-hypergraph-total-variation-2102.09771</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-recovery-by-multi-order-partial-hypergraph-total-variation-2102.09771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-recovery-by-multi-order-partial-hypergraph-total-variation-2102.09771"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-graph-wavelet-convolutional-neural-network-for-semi-supervised-node-classification-2102.09780</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-graph-wavelet-convolutional-neural-network-for-semi-supervised-node-classification-2102.09780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-graph-wavelet-convolutional-neural-network-for-semi-supervised-node-classification-2102.09780"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-and-parallel-constrained-max-value-entropy-search-via-information-lower-bound-2102.09788</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-and-parallel-constrained-max-value-entropy-search-via-information-lower-bound-2102.09788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-and-parallel-constrained-max-value-entropy-search-via-information-lower-bound-2102.09788"/></url>
<url><loc>https://scifaro.com/en/abs/local-convergence-of-adaptive-gradient-descent-optimizers-2102.09804</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-convergence-of-adaptive-gradient-descent-optimizers-2102.09804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-convergence-of-adaptive-gradient-descent-optimizers-2102.09804"/></url>
<url><loc>https://scifaro.com/en/abs/improving-anytime-prediction-with-parallel-cascaded-networks-and-a-temporal-difference-loss-2102.09808</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-anytime-prediction-with-parallel-cascaded-networks-and-a-temporal-difference-loss-2102.09808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-anytime-prediction-with-parallel-cascaded-networks-and-a-temporal-difference-loss-2102.09808"/></url>
<url><loc>https://scifaro.com/en/abs/deep-latent-competition-learning-to-race-using-visual-control-policies-in-latent-space-2102.09812</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-latent-competition-learning-to-race-using-visual-control-policies-in-latent-space-2102.09812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-latent-competition-learning-to-race-using-visual-control-policies-in-latent-space-2102.09812"/></url>
<url><loc>https://scifaro.com/en/abs/sim-env-decoupling-openai-gym-environments-from-simulation-models-2102.09824</loc><lastmod>2023-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sim-env-decoupling-openai-gym-environments-from-simulation-models-2102.09824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sim-env-decoupling-openai-gym-environments-from-simulation-models-2102.09824"/></url>
<url><loc>https://scifaro.com/en/abs/e-n-equivariant-graph-neural-networks-2102.09844</loc><lastmod>2022-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/e-n-equivariant-graph-neural-networks-2102.09844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/e-n-equivariant-graph-neural-networks-2102.09844"/></url>
<url><loc>https://scifaro.com/en/abs/model-invariant-state-abstractions-for-model-based-reinforcement-learning-2102.09850</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-invariant-state-abstractions-for-model-based-reinforcement-learning-2102.09850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-invariant-state-abstractions-for-model-based-reinforcement-learning-2102.09850"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithm-for-stochastic-and-adversarial-bandits-with-switching-costs-2102.09864</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithm-for-stochastic-and-adversarial-bandits-with-switching-costs-2102.09864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithm-for-stochastic-and-adversarial-bandits-with-switching-costs-2102.09864"/></url>
<url><loc>https://scifaro.com/en/abs/condensed-composite-memory-continual-learning-2102.09890</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/condensed-composite-memory-continual-learning-2102.09890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/condensed-composite-memory-continual-learning-2102.09890"/></url>
<url><loc>https://scifaro.com/en/abs/a-variance-controlled-stochastic-method-with-biased-estimation-for-faster-non-convex-optimization-2102.09893</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variance-controlled-stochastic-method-with-biased-estimation-for-faster-non-convex-optimization-2102.09893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variance-controlled-stochastic-method-with-biased-estimation-for-faster-non-convex-optimization-2102.09893"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-gaussian-process-regression-in-logarithmic-time-2102.09964</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-gaussian-process-regression-in-logarithmic-time-2102.09964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-gaussian-process-regression-in-logarithmic-time-2102.09964"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-regularization-in-tensor-factorization-2102.09972</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-regularization-in-tensor-factorization-2102.09972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-regularization-in-tensor-factorization-2102.09972"/></url>
<url><loc>https://scifaro.com/en/abs/discriminant-dynamic-mode-decomposition-for-labeled-spatio-temporal-data-collections-2102.09973</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminant-dynamic-mode-decomposition-for-labeled-spatio-temporal-data-collections-2102.09973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminant-dynamic-mode-decomposition-for-labeled-spatio-temporal-data-collections-2102.09973"/></url>
<url><loc>https://scifaro.com/en/abs/supporting-financial-inclusion-with-graph-machine-learning-and-super-app-alternative-data-2102.09974</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supporting-financial-inclusion-with-graph-machine-learning-and-super-app-alternative-data-2102.09974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supporting-financial-inclusion-with-graph-machine-learning-and-super-app-alternative-data-2102.09974"/></url>
<url><loc>https://scifaro.com/en/abs/analytics-and-machine-learning-in-vehicle-routing-research-2102.10012</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analytics-and-machine-learning-in-vehicle-routing-research-2102.10012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analytics-and-machine-learning-in-vehicle-routing-research-2102.10012"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-stop-with-surprisingly-few-samples-2102.10025</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-stop-with-surprisingly-few-samples-2102.10025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-stop-with-surprisingly-few-samples-2102.10025"/></url>
<url><loc>https://scifaro.com/en/abs/a-projection-algorithm-for-the-unitary-weights-2102.10052</loc><lastmod>2021-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-projection-algorithm-for-the-unitary-weights-2102.10052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-projection-algorithm-for-the-unitary-weights-2102.10052"/></url>
<url><loc>https://scifaro.com/en/abs/molecular-contrastive-learning-of-representations-via-graph-neural-networks-2102.10056</loc><lastmod>2022-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molecular-contrastive-learning-of-representations-via-graph-neural-networks-2102.10056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molecular-contrastive-learning-of-representations-via-graph-neural-networks-2102.10056"/></url>
<url><loc>https://scifaro.com/en/abs/principled-simplicial-neural-networks-for-trajectory-prediction-2102.10058</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principled-simplicial-neural-networks-for-trajectory-prediction-2102.10058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principled-simplicial-neural-networks-for-trajectory-prediction-2102.10058"/></url>
<url><loc>https://scifaro.com/en/abs/output-weighted-sampling-for-multi-armed-bandits-with-extreme-payoffs-2102.10085</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/output-weighted-sampling-for-multi-armed-bandits-with-extreme-payoffs-2102.10085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/output-weighted-sampling-for-multi-armed-bandits-with-extreme-payoffs-2102.10085"/></url>
<url><loc>https://scifaro.com/en/abs/mine-your-own-view-self-supervised-learning-through-across-sample-prediction-2102.10106</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mine-your-own-view-self-supervised-learning-through-across-sample-prediction-2102.10106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mine-your-own-view-self-supervised-learning-through-across-sample-prediction-2102.10106"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-dna-digital-data-storage-by-efficiently-predicting-dna-hybridisation-using-deep-learning-2102.10131</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-dna-digital-data-storage-by-efficiently-predicting-dna-hybridisation-using-deep-learning-2102.10131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-dna-digital-data-storage-by-efficiently-predicting-dna-hybridisation-using-deep-learning-2102.10131"/></url>
<url><loc>https://scifaro.com/en/abs/bplight-cnn-a-photonics-based-backpropagation-accelerator-for-deep-learning-2102.10140</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bplight-cnn-a-photonics-based-backpropagation-accelerator-for-deep-learning-2102.10140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bplight-cnn-a-photonics-based-backpropagation-accelerator-for-deep-learning-2102.10140"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-of-capacity-and-sparse-neural-encoding-2102.10148</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-of-capacity-and-sparse-neural-encoding-2102.10148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-of-capacity-and-sparse-neural-encoding-2102.10148"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-adversarial-networks-for-multi-domain-text-classification-2102.10176</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-adversarial-networks-for-multi-domain-text-classification-2102.10176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-adversarial-networks-for-multi-domain-text-classification-2102.10176"/></url>
<url><loc>https://scifaro.com/en/abs/a-high-performance-low-complexity-algorithm-for-multi-player-bandits-without-collision-sensing-information-2102.10200</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-high-performance-low-complexity-algorithm-for-multi-player-bandits-without-collision-sensing-information-2102.10200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-high-performance-low-complexity-algorithm-for-multi-player-bandits-without-collision-sensing-information-2102.10200"/></url>
<url><loc>https://scifaro.com/en/abs/linear-classifiers-in-product-space-forms-2102.10204</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-classifiers-in-product-space-forms-2102.10204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-classifiers-in-product-space-forms-2102.10204"/></url>
<url><loc>https://scifaro.com/en/abs/logarithmic-regret-in-feature-based-dynamic-pricing-2102.10221</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logarithmic-regret-in-feature-based-dynamic-pricing-2102.10221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logarithmic-regret-in-feature-based-dynamic-pricing-2102.10221"/></url>
<url><loc>https://scifaro.com/en/abs/on-single-user-interactive-beam-alignment-in-next-generation-systems-a-deep-learning-viewpoint-2102.10229</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-single-user-interactive-beam-alignment-in-next-generation-systems-a-deep-learning-viewpoint-2102.10229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-single-user-interactive-beam-alignment-in-next-generation-systems-a-deep-learning-viewpoint-2102.10229"/></url>
<url><loc>https://scifaro.com/en/abs/elastic-similarity-and-distance-measures-for-multivariate-time-series-2102.10231</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elastic-similarity-and-distance-measures-for-multivariate-time-series-2102.10231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elastic-similarity-and-distance-measures-for-multivariate-time-series-2102.10231"/></url>
<url><loc>https://scifaro.com/en/abs/learning-neural-generative-dynamics-for-molecular-conformation-generation-2102.10240</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-neural-generative-dynamics-for-molecular-conformation-generation-2102.10240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-neural-generative-dynamics-for-molecular-conformation-generation-2102.10240"/></url>
<url><loc>https://scifaro.com/en/abs/ntreeclus-a-tree-based-sequence-encoder-for-clustering-categorical-series-2102.10252</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ntreeclus-a-tree-based-sequence-encoder-for-clustering-categorical-series-2102.10252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ntreeclus-a-tree-based-sequence-encoder-for-clustering-categorical-series-2102.10252"/></url>
<url><loc>https://scifaro.com/en/abs/link-prediction-with-persistent-homology-an-interactive-view-2102.10255</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/link-prediction-with-persistent-homology-an-interactive-view-2102.10255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/link-prediction-with-persistent-homology-an-interactive-view-2102.10255"/></url>
<url><loc>https://scifaro.com/en/abs/on-proximal-policy-optimization-s-heavy-tailed-gradients-2102.10264</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-proximal-policy-optimization-s-heavy-tailed-gradients-2102.10264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-proximal-policy-optimization-s-heavy-tailed-gradients-2102.10264"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-dynamics-forecasting-using-task-inference-2102.10271</loc><lastmod>2022-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-dynamics-forecasting-using-task-inference-2102.10271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-dynamics-forecasting-using-task-inference-2102.10271"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-intelligence-enhanced-rapid-and-efficient-diagnosis-of-mycoplasma-pneumoniae-pneumonia-in-children-patients-2102.10284</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-intelligence-enhanced-rapid-and-efficient-diagnosis-of-mycoplasma-pneumoniae-pneumonia-in-children-patients-2102.10284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-intelligence-enhanced-rapid-and-efficient-diagnosis-of-mycoplasma-pneumoniae-pneumonia-in-children-patients-2102.10284"/></url>
<url><loc>https://scifaro.com/en/abs/towards-building-a-group-based-unsupervised-representation-disentanglement-framework-2102.10303</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-building-a-group-based-unsupervised-representation-disentanglement-framework-2102.10303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-building-a-group-based-unsupervised-representation-disentanglement-framework-2102.10303"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-neural-network-approach-to-3d-reservoir-simulation-and-adaptation-2102.10304</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-neural-network-approach-to-3d-reservoir-simulation-and-adaptation-2102.10304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-neural-network-approach-to-3d-reservoir-simulation-and-adaptation-2102.10304"/></url>
<url><loc>https://scifaro.com/en/abs/unavailable-transit-feed-specification-making-it-available-with-recurrent-neural-networks-2102.10323</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unavailable-transit-feed-specification-making-it-available-with-recurrent-neural-networks-2102.10323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unavailable-transit-feed-specification-making-it-available-with-recurrent-neural-networks-2102.10323"/></url>
<url><loc>https://scifaro.com/en/abs/necessary-and-sufficient-graphical-conditions-for-optimal-adjustment-sets-in-causal-graphical-models-with-hidden-variables-2102.10324</loc><lastmod>2023-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/necessary-and-sufficient-graphical-conditions-for-optimal-adjustment-sets-in-causal-graphical-models-with-hidden-variables-2102.10324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/necessary-and-sufficient-graphical-conditions-for-optimal-adjustment-sets-in-causal-graphical-models-with-hidden-variables-2102.10324"/></url>
<url><loc>https://scifaro.com/en/abs/decoupling-value-and-policy-for-generalization-in-reinforcement-learning-2102.10330</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupling-value-and-policy-for-generalization-in-reinforcement-learning-2102.10330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupling-value-and-policy-for-generalization-in-reinforcement-learning-2102.10330"/></url>
<url><loc>https://scifaro.com/en/abs/ssfg-stochastically-scaling-features-and-gradients-for-regularizing-graph-convolutional-networks-2102.10338</loc><lastmod>2022-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ssfg-stochastically-scaling-features-and-gradients-for-regularizing-graph-convolutional-networks-2102.10338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ssfg-stochastically-scaling-features-and-gradients-for-regularizing-graph-convolutional-networks-2102.10338"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-the-transferability-of-ell-infty-attacks-by-the-ell-2-norm-2102.10343</loc><lastmod>2023-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-the-transferability-of-ell-infty-attacks-by-the-ell-2-norm-2102.10343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-the-transferability-of-ell-infty-attacks-by-the-ell-2-norm-2102.10343"/></url>
<url><loc>https://scifaro.com/en/abs/factored-policy-gradients-leveraging-structure-for-efficient-learning-in-momdps-2102.10362</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factored-policy-gradients-leveraging-structure-for-efficient-learning-in-momdps-2102.10362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factored-policy-gradients-leveraging-structure-for-efficient-learning-in-momdps-2102.10362"/></url>
<url><loc>https://scifaro.com/en/abs/on-calibration-and-out-of-domain-generalization-2102.10395</loc><lastmod>2022-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-calibration-and-out-of-domain-generalization-2102.10395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-calibration-and-out-of-domain-generalization-2102.10395"/></url>
<url><loc>https://scifaro.com/en/abs/glam-graph-learning-by-modeling-affinity-to-labeled-nodes-for-graph-neural-networks-2102.10403</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/glam-graph-learning-by-modeling-affinity-to-labeled-nodes-for-graph-neural-networks-2102.10403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/glam-graph-learning-by-modeling-affinity-to-labeled-nodes-for-graph-neural-networks-2102.10403"/></url>
<url><loc>https://scifaro.com/en/abs/an-evaluation-of-edge-tpu-accelerators-for-convolutional-neural-networks-2102.10423</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-evaluation-of-edge-tpu-accelerators-for-convolutional-neural-networks-2102.10423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-evaluation-of-edge-tpu-accelerators-for-convolutional-neural-networks-2102.10423"/></url>
<url><loc>https://scifaro.com/en/abs/gist-distributed-training-for-large-scale-graph-convolutional-networks-2102.10424</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gist-distributed-training-for-large-scale-graph-convolutional-networks-2102.10424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gist-distributed-training-for-large-scale-graph-convolutional-networks-2102.10424"/></url>
<url><loc>https://scifaro.com/en/abs/mhdeep-mental-health-disorder-detection-system-based-on-body-area-and-deep-neural-networks-2102.10435</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mhdeep-mental-health-disorder-detection-system-based-on-body-area-and-deep-neural-networks-2102.10435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mhdeep-mental-health-disorder-detection-system-based-on-body-area-and-deep-neural-networks-2102.10435"/></url>
<url><loc>https://scifaro.com/en/abs/retrain-or-not-retrain-conformal-test-martingales-for-change-point-detection-2102.10439</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/retrain-or-not-retrain-conformal-test-martingales-for-change-point-detection-2102.10439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/retrain-or-not-retrain-conformal-test-martingales-for-change-point-detection-2102.10439"/></url>
<url><loc>https://scifaro.com/en/abs/interventional-sum-product-networks-causal-inference-with-tractable-probabilistic-models-2102.10440</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interventional-sum-product-networks-causal-inference-with-tractable-probabilistic-models-2102.10440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interventional-sum-product-networks-causal-inference-with-tractable-probabilistic-models-2102.10440"/></url>
<url><loc>https://scifaro.com/en/abs/importance-of-environment-design-in-reinforcement-learning-a-study-of-a-robotic-environment-2102.10447</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-of-environment-design-in-reinforcement-learning-a-study-of-a-robotic-environment-2102.10447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-of-environment-design-in-reinforcement-learning-a-study-of-a-robotic-environment-2102.10447"/></url>
<url><loc>https://scifaro.com/en/abs/on-fast-adversarial-robustness-adaptation-in-model-agnostic-meta-learning-2102.10454</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-fast-adversarial-robustness-adaptation-in-model-agnostic-meta-learning-2102.10454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-fast-adversarial-robustness-adaptation-in-model-agnostic-meta-learning-2102.10454"/></url>
<url><loc>https://scifaro.com/en/abs/decaying-clipping-range-in-proximal-policy-optimization-2102.10456</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decaying-clipping-range-in-proximal-policy-optimization-2102.10456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decaying-clipping-range-in-proximal-policy-optimization-2102.10456"/></url>
<url><loc>https://scifaro.com/en/abs/trumpets-injective-flows-for-inference-and-inverse-problems-2102.10461</loc><lastmod>2023-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trumpets-injective-flows-for-inference-and-inverse-problems-2102.10461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trumpets-injective-flows-for-inference-and-inverse-problems-2102.10461"/></url>
<url><loc>https://scifaro.com/en/abs/bsq-exploring-bit-level-sparsity-for-mixed-precision-neural-network-quantization-2102.10462</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bsq-exploring-bit-level-sparsity-for-mixed-precision-neural-network-quantization-2102.10462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bsq-exploring-bit-level-sparsity-for-mixed-precision-neural-network-quantization-2102.10462"/></url>
<url><loc>https://scifaro.com/en/abs/learning-neural-network-subspaces-2102.10472</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-neural-network-subspaces-2102.10472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-neural-network-subspaces-2102.10472"/></url>
<url><loc>https://scifaro.com/en/abs/stronger-nas-with-weaker-predictors-2102.10490</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stronger-nas-with-weaker-predictors-2102.10490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stronger-nas-with-weaker-predictors-2102.10490"/></url>
<url><loc>https://scifaro.com/en/abs/targeted-attack-against-deep-neural-networks-via-flipping-limited-weight-bits-2102.10496</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/targeted-attack-against-deep-neural-networks-via-flipping-limited-weight-bits-2102.10496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/targeted-attack-against-deep-neural-networks-via-flipping-limited-weight-bits-2102.10496"/></url>
<url><loc>https://scifaro.com/en/abs/delayed-rewards-calibration-via-reward-empirical-sufficiency-2102.10527</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delayed-rewards-calibration-via-reward-empirical-sufficiency-2102.10527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delayed-rewards-calibration-via-reward-empirical-sufficiency-2102.10527"/></url>
<url><loc>https://scifaro.com/en/abs/the-effects-of-image-distribution-and-task-on-adversarial-robustness-2102.10534</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effects-of-image-distribution-and-task-on-adversarial-robustness-2102.10534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effects-of-image-distribution-and-task-on-adversarial-robustness-2102.10534"/></url>
<url><loc>https://scifaro.com/en/abs/delhi-air-quality-prediction-using-lstm-deep-learning-models-with-a-focus-on-covid-19-lockdown-2102.10551</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delhi-air-quality-prediction-using-lstm-deep-learning-models-with-a-focus-on-covid-19-lockdown-2102.10551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delhi-air-quality-prediction-using-lstm-deep-learning-models-with-a-focus-on-covid-19-lockdown-2102.10551"/></url>
<url><loc>https://scifaro.com/en/abs/tractable-computation-of-expected-kernels-2102.10562</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tractable-computation-of-expected-kernels-2102.10562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tractable-computation-of-expected-kernels-2102.10562"/></url>
<url><loc>https://scifaro.com/en/abs/symbolic-regression-for-scientific-discovery-an-application-to-wind-speed-forecasting-2102.10570</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symbolic-regression-for-scientific-discovery-an-application-to-wind-speed-forecasting-2102.10570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symbolic-regression-for-scientific-discovery-an-application-to-wind-speed-forecasting-2102.10570"/></url>
<url><loc>https://scifaro.com/en/abs/dealing-with-non-stationarity-in-marl-via-trust-region-decomposition-2102.10616</loc><lastmod>2022-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dealing-with-non-stationarity-in-marl-via-trust-region-decomposition-2102.10616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dealing-with-non-stationarity-in-marl-via-trust-region-decomposition-2102.10616"/></url>
<url><loc>https://scifaro.com/en/abs/towards-the-unification-and-robustness-of-perturbation-and-gradient-based-explanations-2102.10618</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-the-unification-and-robustness-of-perturbation-and-gradient-based-explanations-2102.10618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-the-unification-and-robustness-of-perturbation-and-gradient-based-explanations-2102.10618"/></url>
<url><loc>https://scifaro.com/en/abs/safe-reinforcement-learning-using-robust-action-governor-2102.10643</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-reinforcement-learning-using-robust-action-governor-2102.10643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-reinforcement-learning-using-robust-action-governor-2102.10643"/></url>
<url><loc>https://scifaro.com/en/abs/synthesizing-irreproducibility-in-deep-networks-2102.10696</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthesizing-irreproducibility-in-deep-networks-2102.10696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthesizing-irreproducibility-in-deep-networks-2102.10696"/></url>
<url><loc>https://scifaro.com/en/abs/provable-super-convergence-with-a-large-cyclical-learning-rate-2102.10734</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-super-convergence-with-a-large-cyclical-learning-rate-2102.10734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-super-convergence-with-a-large-cyclical-learning-rate-2102.10734"/></url>
<url><loc>https://scifaro.com/en/abs/dissecting-the-diffusion-process-in-linear-graph-convolutional-networks-2102.10739</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dissecting-the-diffusion-process-in-linear-graph-convolutional-networks-2102.10739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dissecting-the-diffusion-process-in-linear-graph-convolutional-networks-2102.10739"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-parallel-reinforcement-learning-2102.10740</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-parallel-reinforcement-learning-2102.10740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-parallel-reinforcement-learning-2102.10740"/></url>
<url><loc>https://scifaro.com/en/abs/coping-with-mistreatment-in-fair-algorithms-2102.10750</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coping-with-mistreatment-in-fair-algorithms-2102.10750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coping-with-mistreatment-in-fair-algorithms-2102.10750"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-learning-of-graph-neural-networks-a-unified-review-2102.10757</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-learning-of-graph-neural-networks-a-unified-review-2102.10757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-learning-of-graph-neural-networks-a-unified-review-2102.10757"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-meta-learning-for-one-shot-title-compression-in-voice-commerce-2102.10760</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-meta-learning-for-one-shot-title-compression-in-voice-commerce-2102.10760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-meta-learning-for-one-shot-title-compression-in-voice-commerce-2102.10760"/></url>
<url><loc>https://scifaro.com/en/abs/mobile-model-based-imitation-learning-from-observation-alone-2102.10769</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mobile-model-based-imitation-learning-from-observation-alone-2102.10769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mobile-model-based-imitation-learning-from-observation-alone-2102.10769"/></url>
<url><loc>https://scifaro.com/en/abs/slowly-varying-regression-under-sparsity-2102.10773</loc><lastmod>2023-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slowly-varying-regression-under-sparsity-2102.10773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slowly-varying-regression-under-sparsity-2102.10773"/></url>
<url><loc>https://scifaro.com/en/abs/provably-improved-context-based-offline-meta-rl-with-attention-and-contrastive-learning-2102.10774</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-improved-context-based-offline-meta-rl-with-attention-and-contrastive-learning-2102.10774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-improved-context-based-offline-meta-rl-with-attention-and-contrastive-learning-2102.10774"/></url>
<url><loc>https://scifaro.com/en/abs/ntopo-mesh-free-topology-optimization-using-implicit-neural-representations-2102.10782</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ntopo-mesh-free-topology-optimization-using-implicit-neural-representations-2102.10782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ntopo-mesh-free-topology-optimization-using-implicit-neural-representations-2102.10782"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-algorithm-to-detect-adversaries-in-federated-learning-2102.10799</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-algorithm-to-detect-adversaries-in-federated-learning-2102.10799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-algorithm-to-detect-adversaries-in-federated-learning-2102.10799"/></url>
<url><loc>https://scifaro.com/en/abs/neural-delay-differential-equations-2102.10801</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-delay-differential-equations-2102.10801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-delay-differential-equations-2102.10801"/></url>
<url><loc>https://scifaro.com/en/abs/privatemail-supervised-manifold-learning-of-deep-features-with-differential-privacy-for-image-retrieval-2102.10802</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privatemail-supervised-manifold-learning-of-deep-features-with-differential-privacy-for-image-retrieval-2102.10802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privatemail-supervised-manifold-learning-of-deep-features-with-differential-privacy-for-image-retrieval-2102.10802"/></url>
<url><loc>https://scifaro.com/en/abs/improving-uncertainty-calibration-via-prior-augmented-data-2102.10803</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-uncertainty-calibration-via-prior-augmented-data-2102.10803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-uncertainty-calibration-via-prior-augmented-data-2102.10803"/></url>
<url><loc>https://scifaro.com/en/abs/local-calibration-metrics-and-recalibration-2102.10809</loc><lastmod>2022-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-calibration-metrics-and-recalibration-2102.10809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-calibration-metrics-and-recalibration-2102.10809"/></url>
<url><loc>https://scifaro.com/en/abs/expanding-boundaries-of-gap-safe-screening-2102.10846</loc><lastmod>2023-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expanding-boundaries-of-gap-safe-screening-2102.10846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expanding-boundaries-of-gap-safe-screening-2102.10846"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-least-squares-based-refinement-network-for-the-rollout-trajectory-prediction-methods-2102.10859</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-least-squares-based-refinement-network-for-the-rollout-trajectory-prediction-methods-2102.10859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-least-squares-based-refinement-network-for-the-rollout-trajectory-prediction-methods-2102.10859"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-kernel-based-online-federated-learning-2102.10861</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-kernel-based-online-federated-learning-2102.10861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-kernel-based-online-federated-learning-2102.10861"/></url>
<url><loc>https://scifaro.com/en/abs/learning-atrial-fiber-orientations-and-conductivity-tensors-from-intracardiac-maps-using-physics-informed-neural-networks-2102.10863</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-atrial-fiber-orientations-and-conductivity-tensors-from-intracardiac-maps-using-physics-informed-neural-networks-2102.10863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-atrial-fiber-orientations-and-conductivity-tensors-from-intracardiac-maps-using-physics-informed-neural-networks-2102.10863"/></url>
<url><loc>https://scifaro.com/en/abs/linear-unit-tests-for-invariance-discovery-2102.10867</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-unit-tests-for-invariance-discovery-2102.10867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-unit-tests-for-invariance-discovery-2102.10867"/></url>
<url><loc>https://scifaro.com/en/abs/non-linear-sparse-dimensionality-reduction-via-path-lasso-penalized-autoencoders-2102.10873</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-linear-sparse-dimensionality-reduction-via-path-lasso-penalized-autoencoders-2102.10873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-linear-sparse-dimensionality-reduction-via-path-lasso-penalized-autoencoders-2102.10873"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-robustness-of-randomized-classifiers-to-adversarial-examples-2102.10875</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-robustness-of-randomized-classifiers-to-adversarial-examples-2102.10875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-robustness-of-randomized-classifiers-to-adversarial-examples-2102.10875"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistically-motivated-learning-rate-adaptation-for-stochastic-optimization-2102.10880</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistically-motivated-learning-rate-adaptation-for-stochastic-optimization-2102.10880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistically-motivated-learning-rate-adaptation-for-stochastic-optimization-2102.10880"/></url>
<url><loc>https://scifaro.com/en/abs/shapley-values-for-feature-selection-the-good-the-bad-and-the-axioms-2102.10936</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shapley-values-for-feature-selection-the-good-the-bad-and-the-axioms-2102.10936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shapley-values-for-feature-selection-the-good-the-bad-and-the-axioms-2102.10936"/></url>
<url><loc>https://scifaro.com/en/abs/learning-purified-feature-representations-from-task-irrelevant-labels-2102.10955</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-purified-feature-representations-from-task-irrelevant-labels-2102.10955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-purified-feature-representations-from-task-irrelevant-labels-2102.10955"/></url>
<url><loc>https://scifaro.com/en/abs/return-based-contrastive-representation-learning-for-reinforcement-learning-2102.10960</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/return-based-contrastive-representation-learning-for-reinforcement-learning-2102.10960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/return-based-contrastive-representation-learning-for-reinforcement-learning-2102.10960"/></url>
<url><loc>https://scifaro.com/en/abs/markov-model-with-machine-learning-integration-for-fraud-detection-in-health-insurance-2102.10978</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-model-with-machine-learning-integration-for-fraud-detection-in-health-insurance-2102.10978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-model-with-machine-learning-integration-for-fraud-detection-in-health-insurance-2102.10978"/></url>
<url><loc>https://scifaro.com/en/abs/universal-approximation-theorem-for-neural-networks-2102.10993</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-approximation-theorem-for-neural-networks-2102.10993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-approximation-theorem-for-neural-networks-2102.10993"/></url>
<url><loc>https://scifaro.com/en/abs/logme-practical-assessment-of-pre-trained-models-for-transfer-learning-2102.11005</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logme-practical-assessment-of-pre-trained-models-for-transfer-learning-2102.11005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logme-practical-assessment-of-pre-trained-models-for-transfer-learning-2102.11005"/></url>
<url><loc>https://scifaro.com/en/abs/resilience-of-bayesian-layer-wise-explanations-under-adversarial-attacks-2102.11010</loc><lastmod>2022-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resilience-of-bayesian-layer-wise-explanations-under-adversarial-attacks-2102.11010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resilience-of-bayesian-layer-wise-explanations-under-adversarial-attacks-2102.11010"/></url>
<url><loc>https://scifaro.com/en/abs/the-uncanny-similarity-of-recurrence-and-depth-2102.11011</loc><lastmod>2022-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-uncanny-similarity-of-recurrence-and-depth-2102.11011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-uncanny-similarity-of-recurrence-and-depth-2102.11011"/></url>
<url><loc>https://scifaro.com/en/abs/high-order-differentiable-autoencoder-for-nonlinear-model-reduction-2102.11026</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-order-differentiable-autoencoder-for-nonlinear-model-reduction-2102.11026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-order-differentiable-autoencoder-for-nonlinear-model-reduction-2102.11026"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-via-offline-greedy-algorithms-applications-in-market-design-and-optimization-2102.11050</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-via-offline-greedy-algorithms-applications-in-market-design-and-optimization-2102.11050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-via-offline-greedy-algorithms-applications-in-market-design-and-optimization-2102.11050"/></url>
<url><loc>https://scifaro.com/en/abs/escaping-from-zero-gradient-revisiting-action-constrained-reinforcement-learning-via-frank-wolfe-policy-optimization-2102.11055</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/escaping-from-zero-gradient-revisiting-action-constrained-reinforcement-learning-via-frank-wolfe-policy-optimization-2102.11055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/escaping-from-zero-gradient-revisiting-action-constrained-reinforcement-learning-via-frank-wolfe-policy-optimization-2102.11055"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effects-of-quantisation-on-model-uncertainty-in-bayesian-neural-networks-2102.11062</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effects-of-quantisation-on-model-uncertainty-in-bayesian-neural-networks-2102.11062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effects-of-quantisation-on-model-uncertainty-in-bayesian-neural-networks-2102.11062"/></url>
<url><loc>https://scifaro.com/en/abs/lottery-ticket-preserves-weight-correlation-is-it-desirable-or-not-2102.11068</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lottery-ticket-preserves-weight-correlation-is-it-desirable-or-not-2102.11068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lottery-ticket-preserves-weight-correlation-is-it-desirable-or-not-2102.11068"/></url>
<url><loc>https://scifaro.com/en/abs/a-pac-bayes-analysis-of-adversarial-robustness-2102.11069</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pac-bayes-analysis-of-adversarial-robustness-2102.11069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pac-bayes-analysis-of-adversarial-robustness-2102.11069"/></url>
<url><loc>https://scifaro.com/en/abs/sentinel-taming-uncertainty-with-ensemble-based-distributional-reinforcement-learning-2102.11075</loc><lastmod>2022-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sentinel-taming-uncertainty-with-ensemble-based-distributional-reinforcement-learning-2102.11075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sentinel-taming-uncertainty-with-ensemble-based-distributional-reinforcement-learning-2102.11075"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-adaptive-active-learning-under-local-smoothness-condition-2102.11077</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-adaptive-active-learning-under-local-smoothness-condition-2102.11077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-adaptive-active-learning-under-local-smoothness-condition-2102.11077"/></url>
<url><loc>https://scifaro.com/en/abs/improving-lossless-compression-rates-via-monte-carlo-bits-back-coding-2102.11086</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-lossless-compression-rates-via-monte-carlo-bits-back-coding-2102.11086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-lossless-compression-rates-via-monte-carlo-bits-back-coding-2102.11086"/></url>
<url><loc>https://scifaro.com/en/abs/towards-causal-representation-learning-2102.11107</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-causal-representation-learning-2102.11107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-causal-representation-learning-2102.11107"/></url>
<url><loc>https://scifaro.com/en/abs/probing-multimodal-embeddings-for-linguistic-properties-the-visual-semantic-case-2102.11115</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probing-multimodal-embeddings-for-linguistic-properties-the-visual-semantic-case-2102.11115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probing-multimodal-embeddings-for-linguistic-properties-the-visual-semantic-case-2102.11115"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-network-anomaly-detection-via-cross-network-meta-learning-2102.11165</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-network-anomaly-detection-via-cross-network-meta-learning-2102.11165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-network-anomaly-detection-via-cross-network-meta-learning-2102.11165"/></url>
<url><loc>https://scifaro.com/en/abs/linear-transformers-are-secretly-fast-weight-programmers-2102.11174</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-transformers-are-secretly-fast-weight-programmers-2102.11174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-transformers-are-secretly-fast-weight-programmers-2102.11174"/></url>
<url><loc>https://scifaro.com/en/abs/sign-regularized-multi-task-learning-2102.11191</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sign-regularized-multi-task-learning-2102.11191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sign-regularized-multi-task-learning-2102.11191"/></url>
<url><loc>https://scifaro.com/en/abs/variational-data-assimilation-with-a-learned-inverse-observation-operator-2102.11192</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-data-assimilation-with-a-learned-inverse-observation-operator-2102.11192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-data-assimilation-with-a-learned-inverse-observation-operator-2102.11192"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-of-label-propagation-for-subpopulation-shift-2102.11203</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-of-label-propagation-for-subpopulation-shift-2102.11203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-of-label-propagation-for-subpopulation-shift-2102.11203"/></url>
<url><loc>https://scifaro.com/en/abs/learning-contact-dynamics-using-physically-structured-neural-networks-2102.11206</loc><lastmod>2022-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-contact-dynamics-using-physically-structured-neural-networks-2102.11206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-contact-dynamics-using-physically-structured-neural-networks-2102.11206"/></url>
<url><loc>https://scifaro.com/en/abs/non-convex-optimization-with-spectral-radius-regularization-2102.11210</loc><lastmod>2025-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-convex-optimization-with-spectral-radius-regularization-2102.11210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-convex-optimization-with-spectral-radius-regularization-2102.11210"/></url>
<url><loc>https://scifaro.com/en/abs/neural-pharmacodynamic-state-space-modeling-2102.11218</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-pharmacodynamic-state-space-modeling-2102.11218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-pharmacodynamic-state-space-modeling-2102.11218"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-multi-destination-trips-with-sketch-based-model-2102.11252</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-multi-destination-trips-with-sketch-based-model-2102.11252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-multi-destination-trips-with-sketch-based-model-2102.11252"/></url>
<url><loc>https://scifaro.com/en/abs/interpret-able-feedback-for-automl-systems-2102.11267</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpret-able-feedback-for-automl-systems-2102.11267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpret-able-feedback-for-automl-systems-2102.11267"/></url>
<url><loc>https://scifaro.com/en/abs/softmax-policy-gradient-methods-can-take-exponential-time-to-converge-2102.11270</loc><lastmod>2022-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/softmax-policy-gradient-methods-can-take-exponential-time-to-converge-2102.11270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/softmax-policy-gradient-methods-can-take-exponential-time-to-converge-2102.11270"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-prototypical-representations-2102.11271</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-prototypical-representations-2102.11271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-prototypical-representations-2102.11271"/></url>
<url><loc>https://scifaro.com/en/abs/sustainable-federated-learning-2102.11274</loc><lastmod>2021-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sustainable-federated-learning-2102.11274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sustainable-federated-learning-2102.11274"/></url>
<url><loc>https://scifaro.com/en/abs/ps-and-qs-quantization-aware-pruning-for-efficient-low-latency-neural-network-inference-2102.11289</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ps-and-qs-quantization-aware-pruning-for-efficient-low-latency-neural-network-inference-2102.11289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ps-and-qs-quantization-aware-pruning-for-efficient-low-latency-neural-network-inference-2102.11289"/></url>
<url><loc>https://scifaro.com/en/abs/you-only-compress-once-optimal-data-compression-for-estimating-linear-models-2102.11297</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/you-only-compress-once-optimal-data-compression-for-estimating-linear-models-2102.11297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/you-only-compress-once-optimal-data-compression-for-estimating-linear-models-2102.11297"/></url>
<url><loc>https://scifaro.com/en/abs/stratified-experience-replay-correcting-multiplicity-bias-in-off-policy-reinforcement-learning-2102.11319</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stratified-experience-replay-correcting-multiplicity-bias-in-off-policy-reinforcement-learning-2102.11319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stratified-experience-replay-correcting-multiplicity-bias-in-off-policy-reinforcement-learning-2102.11319"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-estimation-using-riemannian-model-dynamics-for-offline-reinforcement-learning-2102.11327</loc><lastmod>2022-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-estimation-using-riemannian-model-dynamics-for-offline-reinforcement-learning-2102.11327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-estimation-using-riemannian-model-dynamics-for-offline-reinforcement-learning-2102.11327"/></url>
<url><loc>https://scifaro.com/en/abs/action-redundancy-in-reinforcement-learning-2102.11329</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/action-redundancy-in-reinforcement-learning-2102.11329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/action-redundancy-in-reinforcement-learning-2102.11329"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-catastrophic-forgetting-and-remembering-in-continual-learning-with-optimal-relevance-mapping-2102.11343</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-catastrophic-forgetting-and-remembering-in-continual-learning-with-optimal-relevance-mapping-2102.11343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-catastrophic-forgetting-and-remembering-in-continual-learning-with-optimal-relevance-mapping-2102.11343"/></url>
<url><loc>https://scifaro.com/en/abs/halma-humanlike-abstraction-learning-meets-affordance-in-rapid-problem-solving-2102.11344</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/halma-humanlike-abstraction-learning-meets-affordance-in-rapid-problem-solving-2102.11344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/halma-humanlike-abstraction-learning-meets-affordance-in-rapid-problem-solving-2102.11344"/></url>
<url><loc>https://scifaro.com/en/abs/generative-archimedean-copulas-2102.11351</loc><lastmod>2022-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-archimedean-copulas-2102.11351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-archimedean-copulas-2102.11351"/></url>
<url><loc>https://scifaro.com/en/abs/magnet-a-neural-network-for-directed-graphs-2102.11391</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/magnet-a-neural-network-for-directed-graphs-2102.11391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/magnet-a-neural-network-for-directed-graphs-2102.11391"/></url>
<url><loc>https://scifaro.com/en/abs/explore-the-context-optimal-data-collection-for-context-conditional-dynamics-models-2102.11394</loc><lastmod>2024-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explore-the-context-optimal-data-collection-for-context-conditional-dynamics-models-2102.11394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explore-the-context-optimal-data-collection-for-context-conditional-dynamics-models-2102.11394"/></url>
<url><loc>https://scifaro.com/en/abs/home-and-destination-attachment-study-of-cultural-integration-on-twitter-2102.11398</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/home-and-destination-attachment-study-of-cultural-integration-on-twitter-2102.11398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/home-and-destination-attachment-study-of-cultural-integration-on-twitter-2102.11398"/></url>
<url><loc>https://scifaro.com/en/abs/on-feature-collapse-and-deep-kernel-learning-for-single-forward-pass-uncertainty-2102.11409</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-feature-collapse-and-deep-kernel-learning-for-single-forward-pass-uncertainty-2102.11409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-feature-collapse-and-deep-kernel-learning-for-single-forward-pass-uncertainty-2102.11409"/></url>
<url><loc>https://scifaro.com/en/abs/parallelizing-legendre-memory-unit-training-2102.11417</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelizing-legendre-memory-unit-training-2102.11417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelizing-legendre-memory-unit-training-2102.11417"/></url>
<url><loc>https://scifaro.com/en/abs/assigning-confidence-to-molecular-property-prediction-2102.11439</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assigning-confidence-to-molecular-property-prediction-2102.11439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assigning-confidence-to-molecular-property-prediction-2102.11439"/></url>
<url><loc>https://scifaro.com/en/abs/data-engineering-for-everyone-2102.11447</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-engineering-for-everyone-2102.11447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-engineering-for-everyone-2102.11447"/></url>
<url><loc>https://scifaro.com/en/abs/musbo-model-based-uncertainty-regularized-and-sample-efficient-batch-optimization-for-deployment-constrained-reinforcement-learning-2102.11448</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/musbo-model-based-uncertainty-regularized-and-sample-efficient-batch-optimization-for-deployment-constrained-reinforcement-learning-2102.11448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/musbo-model-based-uncertainty-regularized-and-sample-efficient-batch-optimization-for-deployment-constrained-reinforcement-learning-2102.11448"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-equivariance-and-preferential-labeling-for-gnn-node-classification-2102.11485</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-equivariance-and-preferential-labeling-for-gnn-node-classification-2102.11485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-equivariance-and-preferential-labeling-for-gnn-node-classification-2102.11485"/></url>
<url><loc>https://scifaro.com/en/abs/when-is-early-classification-of-time-series-meaningful-2102.11487</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-is-early-classification-of-time-series-meaningful-2102.11487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-is-early-classification-of-time-series-meaningful-2102.11487"/></url>
<url><loc>https://scifaro.com/en/abs/deepthermal-combustion-optimization-for-thermal-power-generating-units-using-offline-reinforcement-learning-2102.11492</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepthermal-combustion-optimization-for-thermal-power-generating-units-using-offline-reinforcement-learning-2102.11492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepthermal-combustion-optimization-for-thermal-power-generating-units-using-offline-reinforcement-learning-2102.11492"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-learning-of-stackelberg-equilibria-in-general-sum-games-2102.11494</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-learning-of-stackelberg-equilibria-in-general-sum-games-2102.11494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-learning-of-stackelberg-equilibria-in-general-sum-games-2102.11494"/></url>
<url><loc>https://scifaro.com/en/abs/anytime-sampling-for-autoregressive-models-via-ordered-autoencoding-2102.11495</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anytime-sampling-for-autoregressive-models-via-ordered-autoencoding-2102.11495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anytime-sampling-for-autoregressive-models-via-ordered-autoencoding-2102.11495"/></url>
<url><loc>https://scifaro.com/en/abs/controllable-and-diverse-text-generation-in-e-commerce-2102.11497</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controllable-and-diverse-text-generation-in-e-commerce-2102.11497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controllable-and-diverse-text-generation-in-e-commerce-2102.11497"/></url>
<url><loc>https://scifaro.com/en/abs/v2w-bert-a-framework-for-effective-hierarchical-multiclass-classification-of-software-vulnerabilities-2102.11498</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/v2w-bert-a-framework-for-effective-hierarchical-multiclass-classification-of-software-vulnerabilities-2102.11498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/v2w-bert-a-framework-for-effective-hierarchical-multiclass-classification-of-software-vulnerabilities-2102.11498"/></url>
<url><loc>https://scifaro.com/en/abs/model-attentive-ensemble-learning-for-sequence-modeling-2102.11500</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-attentive-ensemble-learning-for-sequence-modeling-2102.11500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-attentive-ensemble-learning-for-sequence-modeling-2102.11500"/></url>
<url><loc>https://scifaro.com/en/abs/two-sides-of-meta-learning-evaluation-in-vs-out-of-distribution-2102.11503</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-sides-of-meta-learning-evaluation-in-vs-out-of-distribution-2102.11503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-sides-of-meta-learning-evaluation-in-vs-out-of-distribution-2102.11503"/></url>
<url><loc>https://scifaro.com/en/abs/equivariant-neural-networks-for-inverse-problems-2102.11504</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivariant-neural-networks-for-inverse-problems-2102.11504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivariant-neural-networks-for-inverse-problems-2102.11504"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-policy-gradient-off-policy-reinforcement-learning-driven-jointly-by-data-and-model-2102.11513</loc><lastmod>2024-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-policy-gradient-off-policy-reinforcement-learning-driven-jointly-by-data-and-model-2102.11513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-policy-gradient-off-policy-reinforcement-learning-driven-jointly-by-data-and-model-2102.11513"/></url>
<url><loc>https://scifaro.com/en/abs/slicenstitch-continuous-cp-decomposition-of-sparse-tensor-streams-2102.11517</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slicenstitch-continuous-cp-decomposition-of-sparse-tensor-streams-2102.11517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slicenstitch-continuous-cp-decomposition-of-sparse-tensor-streams-2102.11517"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-learning-of-graph-representations-with-graph-multiset-pooling-2102.11533</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-learning-of-graph-representations-with-graph-multiset-pooling-2102.11533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-learning-of-graph-representations-with-graph-multiset-pooling-2102.11533"/></url>
<url><loc>https://scifaro.com/en/abs/decision-rule-elicitation-for-domain-adaptation-2102.11539</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-rule-elicitation-for-domain-adaptation-2102.11539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-rule-elicitation-for-domain-adaptation-2102.11539"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-physical-law-of-hamiltonian-systems-via-meta-learning-2102.11544</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-physical-law-of-hamiltonian-systems-via-meta-learning-2102.11544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-physical-law-of-hamiltonian-systems-via-meta-learning-2102.11544"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-recursive-partition-based-causal-structure-learning-2102.11545</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-recursive-partition-based-causal-structure-learning-2102.11545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-recursive-partition-based-causal-structure-learning-2102.11545"/></url>
<url><loc>https://scifaro.com/en/abs/deep-deterministic-uncertainty-a-simple-baseline-2102.11582</loc><lastmod>2022-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-deterministic-uncertainty-a-simple-baseline-2102.11582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-deterministic-uncertainty-a-simple-baseline-2102.11582"/></url>
<url><loc>https://scifaro.com/en/abs/strategic-classification-in-the-dark-2102.11592</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strategic-classification-in-the-dark-2102.11592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strategic-classification-in-the-dark-2102.11592"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-adjusted-incremental-target-propagation-provides-effective-credit-assignment-in-deep-neural-networks-2102.11598</loc><lastmod>2023-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-adjusted-incremental-target-propagation-provides-effective-credit-assignment-in-deep-neural-networks-2102.11598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-adjusted-incremental-target-propagation-provides-effective-credit-assignment-in-deep-neural-networks-2102.11598"/></url>
<url><loc>https://scifaro.com/en/abs/asam-adaptive-sharpness-aware-minimization-for-scale-invariant-learning-of-deep-neural-networks-2102.11600</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asam-adaptive-sharpness-aware-minimization-for-scale-invariant-learning-of-deep-neural-networks-2102.11600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asam-adaptive-sharpness-aware-minimization-for-scale-invariant-learning-of-deep-neural-networks-2102.11600"/></url>
<url><loc>https://scifaro.com/en/abs/fine-samples-for-learning-with-noisy-labels-2102.11628</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fine-samples-for-learning-with-noisy-labels-2102.11628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fine-samples-for-learning-with-noisy-labels-2102.11628"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-data-free-adversarial-distillation-with-activation-regularization-and-virtual-interpolation-2102.11638</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-data-free-adversarial-distillation-with-activation-regularization-and-virtual-interpolation-2102.11638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-data-free-adversarial-distillation-with-activation-regularization-and-virtual-interpolation-2102.11638"/></url>
<url><loc>https://scifaro.com/en/abs/hardcore-nas-hard-constrained-differentiable-neural-architecture-search-2102.11646</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hardcore-nas-hard-constrained-differentiable-neural-architecture-search-2102.11646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hardcore-nas-hard-constrained-differentiable-neural-architecture-search-2102.11646"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-fairly-classify-the-quality-of-wireless-links-2102.11655</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-fairly-classify-the-quality-of-wireless-links-2102.11655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-fairly-classify-the-quality-of-wireless-links-2102.11655"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-data-leakage-in-machine-learning-models-with-fisher-information-2102.11673</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-data-leakage-in-machine-learning-models-with-fisher-information-2102.11673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-data-leakage-in-machine-learning-models-with-fisher-information-2102.11673"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-step-off-policy-reinforcement-learning-2102.11717</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-step-off-policy-reinforcement-learning-2102.11717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-step-off-policy-reinforcement-learning-2102.11717"/></url>
<url><loc>https://scifaro.com/en/abs/classifying-high-dimensional-gaussian-mixtures-where-kernel-methods-fail-and-neural-networks-succeed-2102.11742</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifying-high-dimensional-gaussian-mixtures-where-kernel-methods-fail-and-neural-networks-succeed-2102.11742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifying-high-dimensional-gaussian-mixtures-where-kernel-methods-fail-and-neural-networks-succeed-2102.11742"/></url>
<url><loc>https://scifaro.com/en/abs/deep-policy-dynamic-programming-for-vehicle-routing-problems-2102.11756</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-policy-dynamic-programming-for-vehicle-routing-problems-2102.11756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-policy-dynamic-programming-for-vehicle-routing-problems-2102.11756"/></url>
<url><loc>https://scifaro.com/en/abs/ebms-trained-with-maximum-likelihood-are-generator-models-trained-with-a-self-adverserial-loss-2102.11757</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ebms-trained-with-maximum-likelihood-are-generator-models-trained-with-a-self-adverserial-loss-2102.11757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ebms-trained-with-maximum-likelihood-are-generator-models-trained-with-a-self-adverserial-loss-2102.11757"/></url>
<url><loc>https://scifaro.com/en/abs/sbi-a-simulation-based-test-of-identifiability-for-bayesian-causal-inference-2102.11761</loc><lastmod>2022-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sbi-a-simulation-based-test-of-identifiability-for-bayesian-causal-inference-2102.11761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sbi-a-simulation-based-test-of-identifiability-for-bayesian-causal-inference-2102.11761"/></url>
<url><loc>https://scifaro.com/en/abs/qupel-quantized-personalization-with-applications-to-federated-learning-2102.11786</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qupel-quantized-personalization-with-applications-to-federated-learning-2102.11786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qupel-quantized-personalization-with-applications-to-federated-learning-2102.11786"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-analysis-of-central-bank-digital-currency-cbdc-projects-drivers-2102.11807</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-analysis-of-central-bank-digital-currency-cbdc-projects-drivers-2102.11807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-analysis-of-central-bank-digital-currency-cbdc-projects-drivers-2102.11807"/></url>
<url><loc>https://scifaro.com/en/abs/online-stochastic-gradient-descent-learns-linear-dynamical-systems-from-a-single-trajectory-2102.11822</loc><lastmod>2021-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-stochastic-gradient-descent-learns-linear-dynamical-systems-from-a-single-trajectory-2102.11822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-stochastic-gradient-descent-learns-linear-dynamical-systems-from-a-single-trajectory-2102.11822"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-rates-for-gradient-descent-in-the-training-of-overparameterized-artificial-neural-networks-with-piecewise-affine-activation-2102.11840</loc><lastmod>2026-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-rates-for-gradient-descent-in-the-training-of-overparameterized-artificial-neural-networks-with-piecewise-affine-activation-2102.11840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-rates-for-gradient-descent-in-the-training-of-overparameterized-artificial-neural-networks-with-piecewise-affine-activation-2102.11840"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-user-level-privacy-2102.11845</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-user-level-privacy-2102.11845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-user-level-privacy-2102.11845"/></url>
<url><loc>https://scifaro.com/en/abs/deep-unitary-convolutional-neural-networks-2102.11855</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-unitary-convolutional-neural-networks-2102.11855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-unitary-convolutional-neural-networks-2102.11855"/></url>
<url><loc>https://scifaro.com/en/abs/automated-discovery-of-adaptive-attacks-on-adversarial-defenses-2102.11860</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-discovery-of-adaptive-attacks-on-adversarial-defenses-2102.11860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-discovery-of-adaptive-attacks-on-adversarial-defenses-2102.11860"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-robust-off-policy-actor-critic-convergence-and-optimality-2102.11866</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-robust-off-policy-actor-critic-convergence-and-optimality-2102.11866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-robust-off-policy-actor-critic-convergence-and-optimality-2102.11866"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-aware-classification-for-risk-prediction-and-subtyping-in-clinical-data-2102.11872</loc><lastmod>2023-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-aware-classification-for-risk-prediction-and-subtyping-in-clinical-data-2102.11872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-aware-classification-for-risk-prediction-and-subtyping-in-clinical-data-2102.11872"/></url>
<url><loc>https://scifaro.com/en/abs/honey-i-shrunk-the-actor-a-case-study-on-preserving-performance-with-smaller-actors-in-actor-critic-rl-2102.11893</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/honey-i-shrunk-the-actor-a-case-study-on-preserving-performance-with-smaller-actors-in-actor-critic-rl-2102.11893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/honey-i-shrunk-the-actor-a-case-study-on-preserving-performance-with-smaller-actors-in-actor-critic-rl-2102.11893"/></url>
<url><loc>https://scifaro.com/en/abs/instance-specific-approximations-for-submodular-maximization-2102.11911</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-specific-approximations-for-submodular-maximization-2102.11911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-specific-approximations-for-submodular-maximization-2102.11911"/></url>
<url><loc>https://scifaro.com/en/abs/feature-importance-explanations-for-temporal-black-box-models-2102.11934</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-importance-explanations-for-temporal-black-box-models-2102.11934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-importance-explanations-for-temporal-black-box-models-2102.11934"/></url>
<url><loc>https://scifaro.com/en/abs/non-singular-adversarial-robustness-of-neural-networks-2102.11935</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-singular-adversarial-robustness-of-neural-networks-2102.11935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-singular-adversarial-robustness-of-neural-networks-2102.11935"/></url>
<url><loc>https://scifaro.com/en/abs/state-augmented-constrained-reinforcement-learning-overcoming-the-limitations-of-learning-with-rewards-2102.11941</loc><lastmod>2023-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-augmented-constrained-reinforcement-learning-overcoming-the-limitations-of-learning-with-rewards-2102.11941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-augmented-constrained-reinforcement-learning-overcoming-the-limitations-of-learning-with-rewards-2102.11941"/></url>
<url><loc>https://scifaro.com/en/abs/do-transformer-modifications-transfer-across-implementations-and-applications-2102.11972</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-transformer-modifications-transfer-across-implementations-and-applications-2102.11972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-transformer-modifications-transfer-across-implementations-and-applications-2102.11972"/></url>
<url><loc>https://scifaro.com/en/abs/a-genetic-algorithm-with-tree-structured-mutation-for-hyperparameter-optimisation-of-graph-neural-networks-2102.11995</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-genetic-algorithm-with-tree-structured-mutation-for-hyperparameter-optimisation-of-graph-neural-networks-2102.11995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-genetic-algorithm-with-tree-structured-mutation-for-hyperparameter-optimisation-of-graph-neural-networks-2102.11995"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-with-non-uniform-perturbations-2102.12002</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-with-non-uniform-perturbations-2102.12002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-with-non-uniform-perturbations-2102.12002"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-mitigating-accuracy-disparity-in-regression-2102.12013</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-mitigating-accuracy-disparity-in-regression-2102.12013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-mitigating-accuracy-disparity-in-regression-2102.12013"/></url>
<url><loc>https://scifaro.com/en/abs/annotating-motion-primitives-for-simplifying-action-search-in-reinforcement-learning-2102.12017</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/annotating-motion-primitives-for-simplifying-action-search-in-reinforcement-learning-2102.12017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/annotating-motion-primitives-for-simplifying-action-search-in-reinforcement-learning-2102.12017"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-understandings-of-product-embedding-for-e-commerce-machine-learning-2102.12029</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-understandings-of-product-embedding-for-e-commerce-machine-learning-2102.12029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-understandings-of-product-embedding-for-e-commerce-machine-learning-2102.12029"/></url>
<url><loc>https://scifaro.com/en/abs/self-diagnosing-gan-diagnosing-underrepresented-samples-in-generative-adversarial-networks-2102.12033</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-diagnosing-gan-diagnosing-underrepresented-samples-in-generative-adversarial-networks-2102.12033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-diagnosing-gan-diagnosing-underrepresented-samples-in-generative-adversarial-networks-2102.12033"/></url>
<url><loc>https://scifaro.com/en/abs/dnn2lr-automatic-feature-crossing-for-credit-scoring-2102.12036</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dnn2lr-automatic-feature-crossing-for-credit-scoring-2102.12036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dnn2lr-automatic-feature-crossing-for-credit-scoring-2102.12036"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-mean-covariance-bandits-2102.12090</loc><lastmod>2023-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-mean-covariance-bandits-2102.12090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-mean-covariance-bandits-2102.12090"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-pure-exploration-with-bottleneck-reward-function-2102.12094</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-pure-exploration-with-bottleneck-reward-function-2102.12094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-pure-exploration-with-bottleneck-reward-function-2102.12094"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-the-latent-space-of-generative-adversarial-networks-using-supervised-learning-2102.12139</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-the-latent-space-of-generative-adversarial-networks-using-supervised-learning-2102.12139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-the-latent-space-of-generative-adversarial-networks-using-supervised-learning-2102.12139"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-low-latency-dynamic-licensing-for-deep-neural-network-deployment-on-edge-devices-2102.12165</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-low-latency-dynamic-licensing-for-deep-neural-network-deployment-on-edge-devices-2102.12165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-low-latency-dynamic-licensing-for-deep-neural-network-deployment-on-edge-devices-2102.12165"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-generate-wasserstein-barycenters-2102.12178</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-generate-wasserstein-barycenters-2102.12178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-generate-wasserstein-barycenters-2102.12178"/></url>
<url><loc>https://scifaro.com/en/abs/parameterized-temperature-scaling-for-boosting-the-expressive-power-in-post-hoc-uncertainty-calibration-2102.12182</loc><lastmod>2022-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameterized-temperature-scaling-for-boosting-the-expressive-power-in-post-hoc-uncertainty-calibration-2102.12182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameterized-temperature-scaling-for-boosting-the-expressive-power-in-post-hoc-uncertainty-calibration-2102.12182"/></url>
<url><loc>https://scifaro.com/en/abs/multiplicative-reweighting-for-robust-neural-network-optimization-2102.12192</loc><lastmod>2025-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiplicative-reweighting-for-robust-neural-network-optimization-2102.12192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiplicative-reweighting-for-robust-neural-network-optimization-2102.12192"/></url>
<url><loc>https://scifaro.com/en/abs/combining-off-and-on-policy-training-in-model-based-reinforcement-learning-2102.12194</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-off-and-on-policy-training-in-model-based-reinforcement-learning-2102.12194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-off-and-on-policy-training-in-model-based-reinforcement-learning-2102.12194"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-untrustworthy-predictions-in-neural-networks-by-geometric-gradient-analysis-2102.12196</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-untrustworthy-predictions-in-neural-networks-by-geometric-gradient-analysis-2102.12196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-untrustworthy-predictions-in-neural-networks-by-geometric-gradient-analysis-2102.12196"/></url>
<url><loc>https://scifaro.com/en/abs/abelian-neural-networks-2102.12232</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abelian-neural-networks-2102.12232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abelian-neural-networks-2102.12232"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-bias-of-multi-channel-linear-convolutional-networks-with-bounded-weight-norm-2102.12238</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-bias-of-multi-channel-linear-convolutional-networks-with-bounded-weight-norm-2102.12238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-bias-of-multi-channel-linear-convolutional-networks-with-bounded-weight-norm-2102.12238"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-continuous-blood-pressure-from-ppg-via-a-federated-learning-approach-2102.12245</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-continuous-blood-pressure-from-ppg-via-a-federated-learning-approach-2102.12245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-continuous-blood-pressure-from-ppg-via-a-federated-learning-approach-2102.12245"/></url>
<url><loc>https://scifaro.com/en/abs/graphfool-targeted-label-adversarial-attack-on-graph-embedding-2102.12284</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphfool-targeted-label-adversarial-attack-on-graph-embedding-2102.12284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphfool-targeted-label-adversarial-attack-on-graph-embedding-2102.12284"/></url>
<url><loc>https://scifaro.com/en/abs/two-way-kernel-matrix-puncturing-towards-resource-efficient-pca-and-spectral-clustering-2102.12293</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-way-kernel-matrix-puncturing-towards-resource-efficient-pca-and-spectral-clustering-2102.12293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-way-kernel-matrix-puncturing-towards-resource-efficient-pca-and-spectral-clustering-2102.12293"/></url>
<url><loc>https://scifaro.com/en/abs/balancing-rational-and-other-regarding-preferences-in-cooperative-competitive-environments-2102.12307</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balancing-rational-and-other-regarding-preferences-in-cooperative-competitive-environments-2102.12307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balancing-rational-and-other-regarding-preferences-in-cooperative-competitive-environments-2102.12307"/></url>
<url><loc>https://scifaro.com/en/abs/learning-augmented-sketches-for-hessians-2102.12317</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-augmented-sketches-for-hessians-2102.12317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-augmented-sketches-for-hessians-2102.12317"/></url>
<url><loc>https://scifaro.com/en/abs/similarity-measure-for-sparse-time-course-data-based-on-gaussian-processes-2102.12342</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/similarity-measure-for-sparse-time-course-data-based-on-gaussian-processes-2102.12342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/similarity-measure-for-sparse-time-course-data-based-on-gaussian-processes-2102.12342"/></url>
<url><loc>https://scifaro.com/en/abs/memory-based-deep-reinforcement-learning-for-pomdps-2102.12344</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-based-deep-reinforcement-learning-for-pomdps-2102.12344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-based-deep-reinforcement-learning-for-pomdps-2102.12344"/></url>
<url><loc>https://scifaro.com/en/abs/autoai-ts-autoai-for-time-series-forecasting-2102.12347</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoai-ts-autoai-for-time-series-forecasting-2102.12347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoai-ts-autoai-for-time-series-forecasting-2102.12347"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-invariant-risk-minimization-a-causal-approach-2102.12353</loc><lastmod>2022-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-invariant-risk-minimization-a-causal-approach-2102.12353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-invariant-risk-minimization-a-causal-approach-2102.12353"/></url>
<url><loc>https://scifaro.com/en/abs/hipar-hierarchical-pattern-aided-regression-2102.12370</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hipar-hierarchical-pattern-aided-regression-2102.12370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hipar-hierarchical-pattern-aided-regression-2102.12370"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-of-fully-convolutional-policy-value-networks-between-games-and-game-variants-2102.12375</loc><lastmod>2023-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-of-fully-convolutional-policy-value-networks-between-games-and-game-variants-2102.12375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-of-fully-convolutional-policy-value-networks-between-games-and-game-variants-2102.12375"/></url>
<url><loc>https://scifaro.com/en/abs/pre-training-on-dynamic-graph-neural-networks-2102.12380</loc><lastmod>2022-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pre-training-on-dynamic-graph-neural-networks-2102.12380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pre-training-on-dynamic-graph-neural-networks-2102.12380"/></url>
<url><loc>https://scifaro.com/en/abs/synthetic-returns-for-long-term-credit-assignment-2102.12425</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthetic-returns-for-long-term-credit-assignment-2102.12425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthetic-returns-for-long-term-credit-assignment-2102.12425"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-gradient-descent-converges-to-flat-minima-for-nonconvex-matrix-factorization-2102.12430</loc><lastmod>2021-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-gradient-descent-converges-to-flat-minima-for-nonconvex-matrix-factorization-2102.12430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-gradient-descent-converges-to-flat-minima-for-nonconvex-matrix-factorization-2102.12430"/></url>
<url><loc>https://scifaro.com/en/abs/a-generative-predictive-model-for-menstrual-cycle-lengths-that-accounts-for-potential-self-tracking-artifacts-in-mobile-health-data-2102.12439</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generative-predictive-model-for-menstrual-cycle-lengths-that-accounts-for-potential-self-tracking-artifacts-in-mobile-health-data-2102.12439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generative-predictive-model-for-menstrual-cycle-lengths-that-accounts-for-potential-self-tracking-artifacts-in-mobile-health-data-2102.12439"/></url>
<url><loc>https://scifaro.com/en/abs/generating-and-blending-game-levels-via-quality-diversity-in-the-latent-space-of-a-variational-autoencoder-2102.12463</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-and-blending-game-levels-via-quality-diversity-in-the-latent-space-of-a-variational-autoencoder-2102.12463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-and-blending-game-levels-via-quality-diversity-in-the-latent-space-of-a-variational-autoencoder-2102.12463"/></url>
<url><loc>https://scifaro.com/en/abs/information-directed-reward-learning-for-reinforcement-learning-2102.12466</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-directed-reward-learning-for-reinforcement-learning-2102.12466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-directed-reward-learning-for-reinforcement-learning-2102.12466"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-validity-of-modeling-sgd-with-stochastic-differential-equations-sdes-2102.12470</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-validity-of-modeling-sgd-with-stochastic-differential-equations-sdes-2102.12470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-validity-of-modeling-sgd-with-stochastic-differential-equations-sdes-2102.12470"/></url>
<url><loc>https://scifaro.com/en/abs/preserved-central-model-for-faster-bidirectional-compression-in-distributed-settings-2102.12528</loc><lastmod>2022-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preserved-central-model-for-faster-bidirectional-compression-in-distributed-settings-2102.12528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preserved-central-model-for-faster-bidirectional-compression-in-distributed-settings-2102.12528"/></url>
<url><loc>https://scifaro.com/en/abs/learning-emergent-discrete-message-communication-for-cooperative-reinforcement-learning-2102.12550</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-emergent-discrete-message-communication-for-cooperative-reinforcement-learning-2102.12550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-emergent-discrete-message-communication-for-cooperative-reinforcement-learning-2102.12550"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-graph-neural-networks-on-link-prediction-2102.12557</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-graph-neural-networks-on-link-prediction-2102.12557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-graph-neural-networks-on-link-prediction-2102.12557"/></url>
<url><loc>https://scifaro.com/en/abs/psiphi-learning-reinforcement-learning-with-demonstrations-using-successor-features-and-inverse-temporal-difference-learning-2102.12560</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/psiphi-learning-reinforcement-learning-with-demonstrations-using-successor-features-and-inverse-temporal-difference-learning-2102.12560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/psiphi-learning-reinforcement-learning-with-demonstrations-using-successor-features-and-inverse-temporal-difference-learning-2102.12560"/></url>
<url><loc>https://scifaro.com/en/abs/sketching-curvature-for-efficient-out-of-distribution-detection-for-deep-neural-networks-2102.12567</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sketching-curvature-for-efficient-out-of-distribution-detection-for-deep-neural-networks-2102.12567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sketching-curvature-for-efficient-out-of-distribution-detection-for-deep-neural-networks-2102.12567"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-pre-training-for-imbalanced-corporate-credit-ratings-2102.12580</loc><lastmod>2022-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-pre-training-for-imbalanced-corporate-credit-ratings-2102.12580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-pre-training-for-imbalanced-corporate-credit-ratings-2102.12580"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-brain-heterogeneity-via-semi-supervised-deep-learning-and-mri-dimensional-representations-of-alzheimer-s-disease-2102.12582</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-brain-heterogeneity-via-semi-supervised-deep-learning-and-mri-dimensional-representations-of-alzheimer-s-disease-2102.12582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-brain-heterogeneity-via-semi-supervised-deep-learning-and-mri-dimensional-representations-of-alzheimer-s-disease-2102.12582"/></url>
<url><loc>https://scifaro.com/en/abs/partially-hidden-markov-chain-linear-autoregressive-model-inference-and-forecasting-2102.12584</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partially-hidden-markov-chain-linear-autoregressive-model-inference-and-forecasting-2102.12584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partially-hidden-markov-chain-linear-autoregressive-model-inference-and-forecasting-2102.12584"/></url>
<url><loc>https://scifaro.com/en/abs/towards-safe-continuing-task-reinforcement-learning-2102.12585</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-safe-continuing-task-reinforcement-learning-2102.12585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-safe-continuing-task-reinforcement-learning-2102.12585"/></url>
<url><loc>https://scifaro.com/en/abs/a-stochastic-optimization-framework-for-fair-risk-minimization-2102.12586</loc><lastmod>2023-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stochastic-optimization-framework-for-fair-risk-minimization-2102.12586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stochastic-optimization-framework-for-fair-risk-minimization-2102.12586"/></url>
<url><loc>https://scifaro.com/en/abs/directional-bias-amplification-2102.12594</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directional-bias-amplification-2102.12594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directional-bias-amplification-2102.12594"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-evacuation-evolution-patterns-and-decisions-using-mobile-device-location-data-a-case-study-of-hurricane-irma-2102.12600</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-evacuation-evolution-patterns-and-decisions-using-mobile-device-location-data-a-case-study-of-hurricane-irma-2102.12600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-evacuation-evolution-patterns-and-decisions-using-mobile-device-location-data-a-case-study-of-hurricane-irma-2102.12600"/></url>
<url><loc>https://scifaro.com/en/abs/online-policy-gradient-for-model-free-learning-of-linear-quadratic-regulators-with-sqrt-t-regret-2102.12608</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-policy-gradient-for-model-free-learning-of-linear-quadratic-regulators-with-sqrt-t-regret-2102.12608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-policy-gradient-for-model-free-learning-of-linear-quadratic-regulators-with-sqrt-t-regret-2102.12608"/></url>
<url><loc>https://scifaro.com/en/abs/improved-regret-bound-and-experience-replay-in-regularized-policy-iteration-2102.12611</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-regret-bound-and-experience-replay-in-regularized-policy-iteration-2102.12611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-regret-bound-and-experience-replay-in-regularized-policy-iteration-2102.12611"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneously-reconciled-quantile-forecasting-of-hierarchically-related-time-series-2102.12612</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneously-reconciled-quantile-forecasting-of-hierarchically-related-time-series-2102.12612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneously-reconciled-quantile-forecasting-of-hierarchically-related-time-series-2102.12612"/></url>
<url><loc>https://scifaro.com/en/abs/spanning-tree-constrained-determinantal-point-processes-are-hard-to-approximately-evaluate-2102.12646</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spanning-tree-constrained-determinantal-point-processes-are-hard-to-approximately-evaluate-2102.12646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spanning-tree-constrained-determinantal-point-processes-are-hard-to-approximately-evaluate-2102.12646"/></url>
<url><loc>https://scifaro.com/en/abs/deep-stochastic-volatility-model-2102.12658</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-stochastic-volatility-model-2102.12658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-stochastic-volatility-model-2102.12658"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-federated-averaging-2102.12660</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-federated-averaging-2102.12660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-federated-averaging-2102.12660"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-for-unknown-partially-observable-mdps-2102.12661</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-for-unknown-partially-observable-mdps-2102.12661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-for-unknown-partially-observable-mdps-2102.12661"/></url>
<url><loc>https://scifaro.com/en/abs/do-not-let-privacy-overbill-utility-gradient-embedding-perturbation-for-private-learning-2102.12677</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-not-let-privacy-overbill-utility-gradient-embedding-perturbation-for-private-learning-2102.12677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-not-let-privacy-overbill-utility-gradient-embedding-perturbation-for-private-learning-2102.12677"/></url>
<url><loc>https://scifaro.com/en/abs/variational-selective-autoencoder-learning-from-partially-observed-heterogeneous-data-2102.12679</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-selective-autoencoder-learning-from-partially-observed-heterogeneous-data-2102.12679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-selective-autoencoder-learning-from-partially-observed-heterogeneous-data-2102.12679"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-calibration-with-bounded-error-using-transformations-2102.12680</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-calibration-with-bounded-error-using-transformations-2102.12680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-calibration-with-bounded-error-using-transformations-2102.12680"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-bandits-under-strategic-manipulations-2102.12722</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-bandits-under-strategic-manipulations-2102.12722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-bandits-under-strategic-manipulations-2102.12722"/></url>
<url><loc>https://scifaro.com/en/abs/on-interpretability-and-similarity-in-concept-based-machine-learning-2102.12723</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-interpretability-and-similarity-in-concept-based-machine-learning-2102.12723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-interpretability-and-similarity-in-concept-based-machine-learning-2102.12723"/></url>
<url><loc>https://scifaro.com/en/abs/improving-approximate-optimal-transport-distances-using-quantization-2102.12731</loc><lastmod>2022-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-approximate-optimal-transport-distances-using-quantization-2102.12731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-approximate-optimal-transport-distances-using-quantization-2102.12731"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-online-learning-with-multiple-kernels-2102.12733</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-online-learning-with-multiple-kernels-2102.12733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-online-learning-with-multiple-kernels-2102.12733"/></url>
<url><loc>https://scifaro.com/en/abs/no-regret-reinforcement-learning-with-heavy-tailed-rewards-2102.12769</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-regret-reinforcement-learning-with-heavy-tailed-rewards-2102.12769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-regret-reinforcement-learning-with-heavy-tailed-rewards-2102.12769"/></url>
<url><loc>https://scifaro.com/en/abs/do-input-gradients-highlight-discriminative-features-2102.12781</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-input-gradients-highlight-discriminative-features-2102.12781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-input-gradients-highlight-discriminative-features-2102.12781"/></url>
<url><loc>https://scifaro.com/en/abs/hyperparameter-transfer-learning-with-adaptive-complexity-2102.12810</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperparameter-transfer-learning-with-adaptive-complexity-2102.12810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperparameter-transfer-learning-with-adaptive-complexity-2102.12810"/></url>
<url><loc>https://scifaro.com/en/abs/fast-minimum-norm-adversarial-attacks-through-adaptive-norm-constraints-2102.12827</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-minimum-norm-adversarial-attacks-through-adaptive-norm-constraints-2102.12827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-minimum-norm-adversarial-attacks-through-adaptive-norm-constraints-2102.12827"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-earth-mover-s-distance-and-distribution-embeddings-2102.12833</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-earth-mover-s-distance-and-distribution-embeddings-2102.12833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-earth-mover-s-distance-and-distribution-embeddings-2102.12833"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-adversarial-distances-to-efficiently-discover-classifier-errors-2102.12844</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-adversarial-distances-to-efficiently-discover-classifier-errors-2102.12844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-adversarial-distances-to-efficiently-discover-classifier-errors-2102.12844"/></url>
<url><loc>https://scifaro.com/en/abs/modular-deep-reinforcement-learning-for-continuous-motion-planning-with-temporal-logic-2102.12855</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modular-deep-reinforcement-learning-for-continuous-motion-planning-with-temporal-logic-2102.12855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modular-deep-reinforcement-learning-for-continuous-motion-planning-with-temporal-logic-2102.12855"/></url>
<url><loc>https://scifaro.com/en/abs/sparsebert-rethinking-the-importance-analysis-in-self-attention-2102.12871</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsebert-rethinking-the-importance-analysis-in-self-attention-2102.12871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsebert-rethinking-the-importance-analysis-in-self-attention-2102.12871"/></url>
<url><loc>https://scifaro.com/en/abs/telesto-a-graph-neural-network-model-for-anomaly-classification-in-cloud-services-2102.12877</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/telesto-a-graph-neural-network-model-for-anomaly-classification-in-cloud-services-2102.12877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/telesto-a-graph-neural-network-model-for-anomaly-classification-in-cloud-services-2102.12877"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-optimization-to-train-neural-networks-on-critical-and-under-represented-classes-2102.12894</loc><lastmod>2022-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-optimization-to-train-neural-networks-on-critical-and-under-represented-classes-2102.12894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-optimization-to-train-neural-networks-on-critical-and-under-represented-classes-2102.12894"/></url>
<url><loc>https://scifaro.com/en/abs/evolving-attention-with-residual-convolutions-2102.12895</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolving-attention-with-residual-convolutions-2102.12895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolving-attention-with-residual-convolutions-2102.12895"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-times-of-waiting-on-red-signals-using-bert-2102.12896</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-times-of-waiting-on-red-signals-using-bert-2102.12896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-times-of-waiting-on-red-signals-using-bert-2102.12896"/></url>
<url><loc>https://scifaro.com/en/abs/self-tuning-for-data-efficient-deep-learning-2102.12903</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-tuning-for-data-efficient-deep-learning-2102.12903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-tuning-for-data-efficient-deep-learning-2102.12903"/></url>
<url><loc>https://scifaro.com/en/abs/emerging-trends-in-federated-learning-from-model-fusion-to-federated-x-learning-2102.12920</loc><lastmod>2024-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emerging-trends-in-federated-learning-from-model-fusion-to-federated-x-learning-2102.12920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emerging-trends-in-federated-learning-from-model-fusion-to-federated-x-learning-2102.12920"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-based-optimal-mesh-generation-in-computational-fluid-dynamics-2102.12923</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-based-optimal-mesh-generation-in-computational-fluid-dynamics-2102.12923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-based-optimal-mesh-generation-in-computational-fluid-dynamics-2102.12923"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-muzero-models-2102.12924</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-muzero-models-2102.12924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-muzero-models-2102.12924"/></url>
<url><loc>https://scifaro.com/en/abs/persistent-homology-and-graphs-representation-learning-2102.12926</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/persistent-homology-and-graphs-representation-learning-2102.12926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/persistent-homology-and-graphs-representation-learning-2102.12926"/></url>
<url><loc>https://scifaro.com/en/abs/risk-factor-identification-for-incident-heart-failure-using-neural-network-distillation-and-variable-selection-2102.12936</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-factor-identification-for-incident-heart-failure-using-neural-network-distillation-and-variable-selection-2102.12936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-factor-identification-for-incident-heart-failure-using-neural-network-distillation-and-variable-selection-2102.12936"/></url>
<url><loc>https://scifaro.com/en/abs/provably-breaking-the-quadratic-error-compounding-barrier-in-imitation-learning-optimally-2102.12948</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-breaking-the-quadratic-error-compounding-barrier-in-imitation-learning-optimally-2102.12948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-breaking-the-quadratic-error-compounding-barrier-in-imitation-learning-optimally-2102.12948"/></url>
<url><loc>https://scifaro.com/en/abs/credit-assignment-with-meta-policy-gradient-for-multi-agent-reinforcement-learning-2102.12957</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/credit-assignment-with-meta-policy-gradient-for-multi-agent-reinforcement-learning-2102.12957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/credit-assignment-with-meta-policy-gradient-for-multi-agent-reinforcement-learning-2102.12957"/></url>
<url><loc>https://scifaro.com/en/abs/bias-reduced-multi-step-hindsight-experience-replay-for-efficient-multi-goal-reinforcement-learning-2102.12962</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-reduced-multi-step-hindsight-experience-replay-for-efficient-multi-goal-reinforcement-learning-2102.12962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-reduced-multi-step-hindsight-experience-replay-for-efficient-multi-goal-reinforcement-learning-2102.12962"/></url>
<url><loc>https://scifaro.com/en/abs/a-statistical-framework-for-efficient-out-of-distribution-detection-in-deep-neural-networks-2102.12967</loc><lastmod>2022-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-statistical-framework-for-efficient-out-of-distribution-detection-in-deep-neural-networks-2102.12967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-statistical-framework-for-efficient-out-of-distribution-detection-in-deep-neural-networks-2102.12967"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-nonlinear-dynamical-systems-into-arbitrary-states-using-machine-learning-2102.12969</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-nonlinear-dynamical-systems-into-arbitrary-states-using-machine-learning-2102.12969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-nonlinear-dynamical-systems-into-arbitrary-states-using-machine-learning-2102.12969"/></url>
<url><loc>https://scifaro.com/en/abs/a-microservice-based-framework-for-exploring-data-selection-in-cross-building-knowledge-transfer-2102.12970</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-microservice-based-framework-for-exploring-data-selection-in-cross-building-knowledge-transfer-2102.12970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-microservice-based-framework-for-exploring-data-selection-in-cross-building-knowledge-transfer-2102.12970"/></url>
<url><loc>https://scifaro.com/en/abs/learning-high-order-interactions-via-targeted-pattern-search-2102.12974</loc><lastmod>2024-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-high-order-interactions-via-targeted-pattern-search-2102.12974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-high-order-interactions-via-targeted-pattern-search-2102.12974"/></url>
<url><loc>https://scifaro.com/en/abs/variable-weights-neural-network-for-diabetes-classification-2102.12984</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-weights-neural-network-for-diabetes-classification-2102.12984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-weights-neural-network-for-diabetes-classification-2102.12984"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-framework-for-neural-architecture-search-in-the-hill-climbing-domain-2102.12985</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-framework-for-neural-architecture-search-in-the-hill-climbing-domain-2102.12985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-framework-for-neural-architecture-search-in-the-hill-climbing-domain-2102.12985"/></url>
<url><loc>https://scifaro.com/en/abs/towards-unbiased-and-accurate-deferral-to-multiple-experts-2102.13004</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-unbiased-and-accurate-deferral-to-multiple-experts-2102.13004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-unbiased-and-accurate-deferral-to-multiple-experts-2102.13004"/></url>
<url><loc>https://scifaro.com/en/abs/imitation-learning-with-human-eye-gaze-via-multi-objective-prediction-2102.13008</loc><lastmod>2023-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitation-learning-with-human-eye-gaze-via-multi-objective-prediction-2102.13008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitation-learning-with-human-eye-gaze-via-multi-objective-prediction-2102.13008"/></url>
<url><loc>https://scifaro.com/en/abs/t-sne-forceful-colorings-and-mean-field-limits-2102.13009</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/t-sne-forceful-colorings-and-mean-field-limits-2102.13009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/t-sne-forceful-colorings-and-mean-field-limits-2102.13009"/></url>
<url><loc>https://scifaro.com/en/abs/batched-neural-bandits-2102.13028</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batched-neural-bandits-2102.13028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batched-neural-bandits-2102.13028"/></url>
<url><loc>https://scifaro.com/en/abs/spinn-sparse-physics-based-and-partially-interpretable-neural-networks-for-pdes-2102.13037</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spinn-sparse-physics-based-and-partially-interpretable-neural-networks-for-pdes-2102.13037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spinn-sparse-physics-based-and-partially-interpretable-neural-networks-for-pdes-2102.13037"/></url>
<url><loc>https://scifaro.com/en/abs/loss-surface-simplexes-for-mode-connecting-volumes-and-fast-ensembling-2102.13042</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-surface-simplexes-for-mode-connecting-volumes-and-fast-ensembling-2102.13042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-surface-simplexes-for-mode-connecting-volumes-and-fast-ensembling-2102.13042"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-bounding-mdps-learning-interpretable-policies-via-non-interpretable-methods-2102.13045</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-bounding-mdps-learning-interpretable-policies-via-non-interpretable-methods-2102.13045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-bounding-mdps-learning-interpretable-policies-via-non-interpretable-methods-2102.13045"/></url>
<url><loc>https://scifaro.com/en/abs/truncated-log-concave-sampling-with-reflective-hamiltonian-monte-carlo-2102.13068</loc><lastmod>2023-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truncated-log-concave-sampling-with-reflective-hamiltonian-monte-carlo-2102.13068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truncated-log-concave-sampling-with-reflective-hamiltonian-monte-carlo-2102.13068"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-graph-contrastive-learning-2102.13085</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-graph-contrastive-learning-2102.13085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-graph-contrastive-learning-2102.13085"/></url>
<url><loc>https://scifaro.com/en/abs/even-your-teacher-needs-guidance-ground-truth-targets-dampen-regularization-imposed-by-self-distillation-2102.13088</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/even-your-teacher-needs-guidance-ground-truth-targets-dampen-regularization-imposed-by-self-distillation-2102.13088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/even-your-teacher-needs-guidance-ground-truth-targets-dampen-regularization-imposed-by-self-distillation-2102.13088"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effect-of-auxiliary-tasks-on-representation-dynamics-2102.13089</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effect-of-auxiliary-tasks-on-representation-dynamics-2102.13089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effect-of-auxiliary-tasks-on-representation-dynamics-2102.13089"/></url>
<url><loc>https://scifaro.com/en/abs/task-agnostic-morphology-evolution-2102.13100</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-agnostic-morphology-evolution-2102.13100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-agnostic-morphology-evolution-2102.13100"/></url>
<url><loc>https://scifaro.com/en/abs/federated-multi-armed-bandits-with-personalization-2102.13101</loc><lastmod>2021-02-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-multi-armed-bandits-with-personalization-2102.13101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-multi-armed-bandits-with-personalization-2102.13101"/></url>
<url><loc>https://scifaro.com/en/abs/an-online-learning-approach-to-interpolation-and-extrapolation-in-domain-generalization-2102.13128</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-online-learning-approach-to-interpolation-and-extrapolation-in-domain-generalization-2102.13128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-online-learning-approach-to-interpolation-and-extrapolation-in-domain-generalization-2102.13128"/></url>
<url><loc>https://scifaro.com/en/abs/local-stochastic-gradient-descent-ascent-convergence-analysis-and-communication-efficiency-2102.13152</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-stochastic-gradient-descent-ascent-convergence-analysis-and-communication-efficiency-2102.13152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-stochastic-gradient-descent-ascent-convergence-analysis-and-communication-efficiency-2102.13152"/></url>
<url><loc>https://scifaro.com/en/abs/physics-integrated-variational-autoencoders-for-robust-and-interpretable-generative-modeling-2102.13156</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-integrated-variational-autoencoders-for-robust-and-interpretable-generative-modeling-2102.13156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-integrated-variational-autoencoders-for-robust-and-interpretable-generative-modeling-2102.13156"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-robustness-in-teacher-student-setting-a-new-perspective-2102.13170</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-robustness-in-teacher-student-setting-a-new-perspective-2102.13170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-robustness-in-teacher-student-setting-a-new-perspective-2102.13170"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-interpretation-of-self-paced-learning-with-applications-to-reinforcement-learning-2102.13176</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-interpretation-of-self-paced-learning-with-applications-to-reinforcement-learning-2102.13176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-interpretation-of-self-paced-learning-with-applications-to-reinforcement-learning-2102.13176"/></url>
<url><loc>https://scifaro.com/en/abs/machine-unlearning-via-algorithmic-stability-2102.13179</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-unlearning-via-algorithmic-stability-2102.13179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-unlearning-via-algorithmic-stability-2102.13179"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-projection-based-gradient-estimation-for-query-efficient-blackbox-attacks-2102.13184</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-projection-based-gradient-estimation-for-query-efficient-blackbox-attacks-2102.13184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-projection-based-gradient-estimation-for-query-efficient-blackbox-attacks-2102.13184"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-imitation-learning-from-observations-2102.13185</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-imitation-learning-from-observations-2102.13185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-imitation-learning-from-observations-2102.13185"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-unified-framework-for-fair-and-stable-graph-representation-learning-2102.13186</loc><lastmod>2022-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-unified-framework-for-fair-and-stable-graph-representation-learning-2102.13186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-unified-framework-for-fair-and-stable-graph-representation-learning-2102.13186"/></url>
<url><loc>https://scifaro.com/en/abs/rip-van-winkle-s-razor-a-simple-estimate-of-overfit-to-test-data-2102.13189</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rip-van-winkle-s-razor-a-simple-estimate-of-overfit-to-test-data-2102.13189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rip-van-winkle-s-razor-a-simple-estimate-of-overfit-to-test-data-2102.13189"/></url>
<url><loc>https://scifaro.com/en/abs/machine-biometrics-towards-identifying-machines-in-a-smart-city-environment-2102.13190</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-biometrics-towards-identifying-machines-in-a-smart-city-environment-2102.13190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-biometrics-towards-identifying-machines-in-a-smart-city-environment-2102.13190"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-of-implicit-and-explicit-control-flow-in-instructions-2102.13195</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-of-implicit-and-explicit-control-flow-in-instructions-2102.13195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-of-implicit-and-explicit-control-flow-in-instructions-2102.13195"/></url>
<url><loc>https://scifaro.com/en/abs/named-tensor-notation-2102.13196</loc><lastmod>2023-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/named-tensor-notation-2102.13196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/named-tensor-notation-2102.13196"/></url>
<url><loc>https://scifaro.com/en/abs/online-multi-armed-bandits-with-adaptive-inference-2102.13202</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-multi-armed-bandits-with-adaptive-inference-2102.13202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-multi-armed-bandits-with-adaptive-inference-2102.13202"/></url>
<url><loc>https://scifaro.com/en/abs/spurious-local-minima-are-common-for-deep-neural-networks-with-piecewise-linear-activations-2102.13233</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spurious-local-minima-are-common-for-deep-neural-networks-with-piecewise-linear-activations-2102.13233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spurious-local-minima-are-common-for-deep-neural-networks-with-piecewise-linear-activations-2102.13233"/></url>
<url><loc>https://scifaro.com/en/abs/learning-discriminative-features-using-multi-label-dual-space-2102.13234</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-discriminative-features-using-multi-label-dual-space-2102.13234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-discriminative-features-using-multi-label-dual-space-2102.13234"/></url>
<url><loc>https://scifaro.com/en/abs/adaptable-hamiltonian-neural-networks-2102.13235</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptable-hamiltonian-neural-networks-2102.13235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptable-hamiltonian-neural-networks-2102.13235"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-to-misspecification-in-contextual-bandits-with-offline-regression-oracles-2102.13240</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-to-misspecification-in-contextual-bandits-with-offline-regression-oracles-2102.13240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-to-misspecification-in-contextual-bandits-with-offline-regression-oracles-2102.13240"/></url>
<url><loc>https://scifaro.com/en/abs/swift-for-tensorflow-a-portable-flexible-platform-for-deep-learning-2102.13243</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/swift-for-tensorflow-a-portable-flexible-platform-for-deep-learning-2102.13243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/swift-for-tensorflow-a-portable-flexible-platform-for-deep-learning-2102.13243"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-semi-supervised-learning-a-comprehensive-review-2102.13303</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-semi-supervised-learning-a-comprehensive-review-2102.13303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-semi-supervised-learning-a-comprehensive-review-2102.13303"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-client-contribution-evaluation-for-horizontal-federated-learning-2102.13314</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-client-contribution-evaluation-for-horizontal-federated-learning-2102.13314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-client-contribution-evaluation-for-horizontal-federated-learning-2102.13314"/></url>
<url><loc>https://scifaro.com/en/abs/layer-wise-interpretation-of-deep-neural-networks-using-identity-initialization-2102.13333</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layer-wise-interpretation-of-deep-neural-networks-using-identity-initialization-2102.13333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layer-wise-interpretation-of-deep-neural-networks-using-identity-initialization-2102.13333"/></url>
<url><loc>https://scifaro.com/en/abs/neural-generalization-of-multiple-kernel-learning-2102.13337</loc><lastmod>2023-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-generalization-of-multiple-kernel-learning-2102.13337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-generalization-of-multiple-kernel-learning-2102.13337"/></url>
<url><loc>https://scifaro.com/en/abs/moreau-yosida-f-divergences-2102.13416</loc><lastmod>2023-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moreau-yosida-f-divergences-2102.13416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moreau-yosida-f-divergences-2102.13416"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-se-3-transformers-2102.13419</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-se-3-transformers-2102.13419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-se-3-transformers-2102.13419"/></url>
<url><loc>https://scifaro.com/en/abs/safe-distributional-reinforcement-learning-2102.13446</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-distributional-reinforcement-learning-2102.13446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-distributional-reinforcement-learning-2102.13446"/></url>
<url><loc>https://scifaro.com/en/abs/fjord-fair-and-accurate-federated-learning-under-heterogeneous-targets-with-ordered-dropout-2102.13451</loc><lastmod>2022-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fjord-fair-and-accurate-federated-learning-under-heterogeneous-targets-with-ordered-dropout-2102.13451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fjord-fair-and-accurate-federated-learning-under-heterogeneous-targets-with-ordered-dropout-2102.13451"/></url>
<url><loc>https://scifaro.com/en/abs/private-and-utility-enhanced-recommendations-with-local-differential-privacy-and-gaussian-mixture-model-2102.13453</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-and-utility-enhanced-recommendations-with-local-differential-privacy-and-gaussian-mixture-model-2102.13453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-and-utility-enhanced-recommendations-with-local-differential-privacy-and-gaussian-mixture-model-2102.13453"/></url>
<url><loc>https://scifaro.com/en/abs/a-regret-minimization-approach-to-iterative-learning-control-2102.13478</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-regret-minimization-approach-to-iterative-learning-control-2102.13478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-regret-minimization-approach-to-iterative-learning-control-2102.13478"/></url>
<url><loc>https://scifaro.com/en/abs/history-augmented-collaborative-filtering-for-financial-recommendations-2102.13503</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/history-augmented-collaborative-filtering-for-financial-recommendations-2102.13503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/history-augmented-collaborative-filtering-for-financial-recommendations-2102.13503"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-fine-tuning-transferring-behavior-in-reinforcement-learning-2102.13515</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-fine-tuning-transferring-behavior-in-reinforcement-learning-2102.13515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-fine-tuning-transferring-behavior-in-reinforcement-learning-2102.13515"/></url>
<url><loc>https://scifaro.com/en/abs/preddiff-explanations-and-interactions-from-conditional-expectations-2102.13519</loc><lastmod>2023-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preddiff-explanations-and-interactions-from-conditional-expectations-2102.13519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preddiff-explanations-and-interactions-from-conditional-expectations-2102.13519"/></url>
<url><loc>https://scifaro.com/en/abs/experiments-with-rich-regime-training-for-deep-learning-2102.13522</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/experiments-with-rich-regime-training-for-deep-learning-2102.13522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/experiments-with-rich-regime-training-for-deep-learning-2102.13522"/></url>
<url><loc>https://scifaro.com/en/abs/low-precision-reinforcement-learning-running-soft-actor-critic-in-half-precision-2102.13565</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-precision-reinforcement-learning-running-soft-actor-critic-in-half-precision-2102.13565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-precision-reinforcement-learning-running-soft-actor-critic-in-half-precision-2102.13565"/></url>
<url><loc>https://scifaro.com/en/abs/sparsity-in-long-time-control-of-neural-odes-2102.13566</loc><lastmod>2022-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsity-in-long-time-control-of-neural-odes-2102.13566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsity-in-long-time-control-of-neural-odes-2102.13566"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-and-reliable-algorithmic-recourse-2102.13620</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-and-reliable-algorithmic-recourse-2102.13620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-and-reliable-algorithmic-recourse-2102.13620"/></url>
<url><loc>https://scifaro.com/en/abs/what-doesn-t-kill-you-makes-you-robust-er-how-to-adversarially-train-against-data-poisoning-2102.13624</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-doesn-t-kill-you-makes-you-robust-er-how-to-adversarially-train-against-data-poisoning-2102.13624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-doesn-t-kill-you-makes-you-robust-er-how-to-adversarially-train-against-data-poisoning-2102.13624"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-convolutions-a-novel-deep-learning-approach-for-raw-seismic-data-ingestion-2102.13631</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-convolutions-a-novel-deep-learning-approach-for-raw-seismic-data-ingestion-2102.13631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-convolutions-a-novel-deep-learning-approach-for-raw-seismic-data-ingestion-2102.13631"/></url>
<url><loc>https://scifaro.com/en/abs/active-selection-of-classification-features-2102.13636</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-selection-of-classification-features-2102.13636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-selection-of-classification-features-2102.13636"/></url>
<url><loc>https://scifaro.com/en/abs/nomu-neural-optimization-based-model-uncertainty-2102.13640</loc><lastmod>2023-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nomu-neural-optimization-based-model-uncertainty-2102.13640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nomu-neural-optimization-based-model-uncertainty-2102.13640"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-importance-of-hyperparameter-optimization-for-model-based-reinforcement-learning-2102.13651</loc><lastmod>2021-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-importance-of-hyperparameter-optimization-for-model-based-reinforcement-learning-2102.13651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-importance-of-hyperparameter-optimization-for-model-based-reinforcement-learning-2102.13651"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-generalization-of-stochastic-gradient-descent-with-momentum-2102.13653</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-generalization-of-stochastic-gradient-descent-with-momentum-2102.13653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-generalization-of-stochastic-gradient-descent-with-momentum-2102.13653"/></url>
<url><loc>https://scifaro.com/en/abs/pursuhint-in-search-of-informative-hint-points-based-on-layer-clustering-for-knowledge-distillation-2103.00053</loc><lastmod>2022-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pursuhint-in-search-of-informative-hint-points-based-on-layer-clustering-for-knowledge-distillation-2103.00053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pursuhint-in-search-of-informative-hint-points-based-on-layer-clustering-for-knowledge-distillation-2103.00053"/></url>
<url><loc>https://scifaro.com/en/abs/local-clustering-in-contextual-multi-armed-bandits-2103.00063</loc><lastmod>2023-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-clustering-in-contextual-multi-armed-bandits-2103.00063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-clustering-in-contextual-multi-armed-bandits-2103.00063"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-on-neural-networks-typically-occurs-at-the-edge-of-stability-2103.00065</loc><lastmod>2022-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-on-neural-networks-typically-occurs-at-the-edge-of-stability-2103.00065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-on-neural-networks-typically-occurs-at-the-edge-of-stability-2103.00065"/></url>
<url><loc>https://scifaro.com/en/abs/partitioned-graph-convolution-using-adversarial-and-regression-networks-for-road-travel-speed-prediction-2103.00067</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partitioned-graph-convolution-using-adversarial-and-regression-networks-for-road-travel-speed-prediction-2103.00067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partitioned-graph-convolution-using-adversarial-and-regression-networks-for-road-travel-speed-prediction-2103.00067"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-truncated-sgd-optimization-and-generalization-2103.00075</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-truncated-sgd-optimization-and-generalization-2103.00075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-truncated-sgd-optimization-and-generalization-2103.00075"/></url>
<url><loc>https://scifaro.com/en/abs/the-age-of-correlated-features-in-supervised-learning-based-forecasting-2103.00092</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-age-of-correlated-features-in-supervised-learning-based-forecasting-2103.00092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-age-of-correlated-features-in-supervised-learning-based-forecasting-2103.00092"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-conservativeness-oriented-offline-reinforcement-learning-2103.00098</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-conservativeness-oriented-offline-reinforcement-learning-2103.00098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-conservativeness-oriented-offline-reinforcement-learning-2103.00098"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-peng-s-q-lambda-for-modern-reinforcement-learning-2103.00107</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-peng-s-q-lambda-for-modern-reinforcement-learning-2103.00107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-peng-s-q-lambda-for-modern-reinforcement-learning-2103.00107"/></url>
<url><loc>https://scifaro.com/en/abs/graph-self-supervised-learning-a-survey-2103.00111</loc><lastmod>2022-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-self-supervised-learning-a-survey-2103.00111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-self-supervised-learning-a-survey-2103.00111"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-on-attributed-networks-via-contrastive-self-supervised-learning-2103.00113</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-on-attributed-networks-via-contrastive-self-supervised-learning-2103.00113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-on-attributed-networks-via-contrastive-self-supervised-learning-2103.00113"/></url>
<url><loc>https://scifaro.com/en/abs/grad-match-gradient-matching-based-data-subset-selection-for-efficient-deep-model-training-2103.00123</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grad-match-gradient-matching-based-data-subset-selection-for-efficient-deep-model-training-2103.00123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grad-match-gradient-matching-based-data-subset-selection-for-efficient-deep-model-training-2103.00123"/></url>
<url><loc>https://scifaro.com/en/abs/neurospf-a-tool-for-the-symbolic-analysis-of-neural-networks-2103.00124</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neurospf-a-tool-for-the-symbolic-analysis-of-neural-networks-2103.00124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neurospf-a-tool-for-the-symbolic-analysis-of-neural-networks-2103.00124"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-causal-graphical-prior-knowledge-into-predictive-modeling-via-simple-data-augmentation-2103.00136</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-causal-graphical-prior-knowledge-into-predictive-modeling-via-simple-data-augmentation-2103.00136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-causal-graphical-prior-knowledge-into-predictive-modeling-via-simple-data-augmentation-2103.00136"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-with-graph-neural-networks-methods-and-applications-2103.00137</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-with-graph-neural-networks-methods-and-applications-2103.00137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-with-graph-neural-networks-methods-and-applications-2103.00137"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-causal-domain-adaptation-2103.00139</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-causal-domain-adaptation-2103.00139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-causal-domain-adaptation-2103.00139"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-measures-for-defining-curriculum-scoring-function-2103.00147</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-measures-for-defining-curriculum-scoring-function-2103.00147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-measures-for-defining-curriculum-scoring-function-2103.00147"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-federated-machine-learning-with-fedn-2103.00148</loc><lastmod>2022-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-federated-machine-learning-with-fedn-2103.00148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-federated-machine-learning-with-fedn-2103.00148"/></url>
<url><loc>https://scifaro.com/en/abs/featurenorm-l2-feature-normalization-for-dynamic-graph-embedding-2103.00164</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/featurenorm-l2-feature-normalization-for-dynamic-graph-embedding-2103.00164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/featurenorm-l2-feature-normalization-for-dynamic-graph-embedding-2103.00164"/></url>
<url><loc>https://scifaro.com/en/abs/characterization-of-neural-networks-automatically-mapped-on-automotive-grade-microcontrollers-2103.00201</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterization-of-neural-networks-automatically-mapped-on-automotive-grade-microcontrollers-2103.00201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterization-of-neural-networks-automatically-mapped-on-automotive-grade-microcontrollers-2103.00201"/></url>
<url><loc>https://scifaro.com/en/abs/generative-chemical-transformer-neural-machine-learning-of-molecular-geometric-structures-from-chemical-language-via-attention-2103.00213</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-chemical-transformer-neural-machine-learning-of-molecular-geometric-structures-from-chemical-language-via-attention-2103.00213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-chemical-transformer-neural-machine-learning-of-molecular-geometric-structures-from-chemical-language-via-attention-2103.00213"/></url>
<url><loc>https://scifaro.com/en/abs/pareto-frontier-aware-neural-architecture-generation-for-diverse-budgets-2103.00219</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pareto-frontier-aware-neural-architecture-generation-for-diverse-budgets-2103.00219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pareto-frontier-aware-neural-architecture-generation-for-diverse-budgets-2103.00219"/></url>
<url><loc>https://scifaro.com/en/abs/ra-gcn-graph-convolutional-network-for-disease-prediction-problems-with-imbalanced-data-2103.00221</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ra-gcn-graph-convolutional-network-for-disease-prediction-problems-with-imbalanced-data-2103.00221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ra-gcn-graph-convolutional-network-for-disease-prediction-problems-with-imbalanced-data-2103.00221"/></url>
<url><loc>https://scifaro.com/en/abs/neuron-coverage-guided-domain-generalization-2103.00229</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuron-coverage-guided-domain-generalization-2103.00229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuron-coverage-guided-domain-generalization-2103.00229"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-smooth-hinge-losses-2103.00233</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-smooth-hinge-losses-2103.00233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-smooth-hinge-losses-2103.00233"/></url>
<url><loc>https://scifaro.com/en/abs/improved-automated-machine-learning-from-transfer-learning-2103.00241</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-automated-machine-learning-from-transfer-learning-2103.00241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-automated-machine-learning-from-transfer-learning-2103.00241"/></url>
<url><loc>https://scifaro.com/en/abs/searching-for-robustness-loss-learning-for-noisy-classification-tasks-2103.00243</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/searching-for-robustness-loss-learning-for-noisy-classification-tasks-2103.00243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/searching-for-robustness-loss-learning-for-noisy-classification-tasks-2103.00243"/></url>
<url><loc>https://scifaro.com/en/abs/effective-universal-unrestricted-adversarial-attacks-using-a-moe-approach-2103.00250</loc><lastmod>2026-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-universal-unrestricted-adversarial-attacks-using-a-moe-approach-2103.00250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-universal-unrestricted-adversarial-attacks-using-a-moe-approach-2103.00250"/></url>
<url><loc>https://scifaro.com/en/abs/deepble-generalizing-rssi-based-localization-across-different-devices-2103.00252</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepble-generalizing-rssi-based-localization-across-different-devices-2103.00252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepble-generalizing-rssi-based-localization-across-different-devices-2103.00252"/></url>
<url><loc>https://scifaro.com/en/abs/a-brief-introduction-to-generative-models-2103.00265</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-brief-introduction-to-generative-models-2103.00265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-brief-introduction-to-generative-models-2103.00265"/></url>
<url><loc>https://scifaro.com/en/abs/spline-parameterization-of-neural-network-controls-for-deep-learning-2103.00301</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spline-parameterization-of-neural-network-controls-for-deep-learning-2103.00301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spline-parameterization-of-neural-network-controls-for-deep-learning-2103.00301"/></url>
<url><loc>https://scifaro.com/en/abs/transformers-with-competitive-ensembles-of-independent-mechanisms-2103.00336</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformers-with-competitive-ensembles-of-independent-mechanisms-2103.00336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformers-with-competitive-ensembles-of-independent-mechanisms-2103.00336"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-with-sparse-axis-aligned-subspaces-2103.00349</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-with-sparse-axis-aligned-subspaces-2103.00349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-with-sparse-axis-aligned-subspaces-2103.00349"/></url>
<url><loc>https://scifaro.com/en/abs/exploration-and-incentives-in-reinforcement-learning-2103.00360</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploration-and-incentives-in-reinforcement-learning-2103.00360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploration-and-incentives-in-reinforcement-learning-2103.00360"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-multiple-canonical-correlation-analysis-for-information-fusion-2103.00361</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-multiple-canonical-correlation-analysis-for-information-fusion-2103.00361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-multiple-canonical-correlation-analysis-for-information-fusion-2103.00361"/></url>
<url><loc>https://scifaro.com/en/abs/tiny-adversarial-mulit-objective-oneshot-neural-architecture-search-2103.00363</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tiny-adversarial-mulit-objective-oneshot-neural-architecture-search-2103.00363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tiny-adversarial-mulit-objective-oneshot-neural-architecture-search-2103.00363"/></url>
<url><loc>https://scifaro.com/en/abs/a-complete-discriminative-tensor-representation-learning-for-two-dimensional-correlation-analysis-2103.00367</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-complete-discriminative-tensor-representation-learning-for-two-dimensional-correlation-analysis-2103.00367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-complete-discriminative-tensor-representation-learning-for-two-dimensional-correlation-analysis-2103.00367"/></url>
<url><loc>https://scifaro.com/en/abs/pairrank-online-pairwise-learning-to-rank-by-divide-and-conquer-2103.00368</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pairrank-online-pairwise-learning-to-rank-by-divide-and-conquer-2103.00368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pairrank-online-pairwise-learning-to-rank-by-divide-and-conquer-2103.00368"/></url>
<url><loc>https://scifaro.com/en/abs/axiomatic-explanations-for-visual-search-retrieval-and-similarity-learning-2103.00370</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/axiomatic-explanations-for-visual-search-retrieval-and-similarity-learning-2103.00370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/axiomatic-explanations-for-visual-search-retrieval-and-similarity-learning-2103.00370"/></url>
<url><loc>https://scifaro.com/en/abs/towards-efficient-local-causal-structure-learning-2103.00378</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-efficient-local-causal-structure-learning-2103.00378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-efficient-local-causal-structure-learning-2103.00378"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-information-bottleneck-2103.00381</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-information-bottleneck-2103.00381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-information-bottleneck-2103.00381"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-regularized-submodular-maximization-2103.00384</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-regularized-submodular-maximization-2103.00384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-regularized-submodular-maximization-2103.00384"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-inducing-point-gaussian-process-for-inter-domain-observations-2103.00393</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-inducing-point-gaussian-process-for-inter-domain-observations-2103.00393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-inducing-point-gaussian-process-for-inter-domain-observations-2103.00393"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-gaussian-smoothed-optimal-transport-distance-with-sub-gamma-distributions-and-dependent-samples-2103.00394</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-gaussian-smoothed-optimal-transport-distance-with-sub-gamma-distributions-and-dependent-samples-2103.00394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-gaussian-smoothed-optimal-transport-distance-with-sub-gamma-distributions-and-dependent-samples-2103.00394"/></url>
<url><loc>https://scifaro.com/en/abs/a-minimax-probability-machine-for-non-decomposable-performance-measures-2103.00396</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-minimax-probability-machine-for-non-decomposable-performance-measures-2103.00396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-minimax-probability-machine-for-non-decomposable-performance-measures-2103.00396"/></url>
<url><loc>https://scifaro.com/en/abs/data-efficient-gan-training-beyond-just-augmentations-a-lottery-ticket-perspective-2103.00397</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-efficient-gan-training-beyond-just-augmentations-a-lottery-ticket-perspective-2103.00397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-efficient-gan-training-beyond-just-augmentations-a-lottery-ticket-perspective-2103.00397"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-bootstrapping-for-q-learning-2103.00445</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-bootstrapping-for-q-learning-2103.00445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-bootstrapping-for-q-learning-2103.00445"/></url>
<url><loc>https://scifaro.com/en/abs/distilling-knowledge-via-intermediate-classifiers-2103.00497</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilling-knowledge-via-intermediate-classifiers-2103.00497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilling-knowledge-via-intermediate-classifiers-2103.00497"/></url>
<url><loc>https://scifaro.com/en/abs/topic-modelling-meets-deep-neural-networks-a-survey-2103.00498</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topic-modelling-meets-deep-neural-networks-a-survey-2103.00498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topic-modelling-meets-deep-neural-networks-a-survey-2103.00498"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-approximation-rate-of-relu-networks-in-terms-of-width-and-depth-2103.00502</loc><lastmod>2021-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-approximation-rate-of-relu-networks-in-terms-of-width-and-depth-2103.00502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-approximation-rate-of-relu-networks-in-terms-of-width-and-depth-2103.00502"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-with-relu-sine-exponential-activations-break-curse-of-dimensionality-in-approximation-on-h-older-class-2103.00542</loc><lastmod>2022-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-with-relu-sine-exponential-activations-break-curse-of-dimensionality-in-approximation-on-h-older-class-2103.00542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-with-relu-sine-exponential-activations-break-curse-of-dimensionality-in-approximation-on-h-older-class-2103.00542"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-deep-semi-supervised-learning-2103.00550</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-deep-semi-supervised-learning-2103.00550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-deep-semi-supervised-learning-2103.00550"/></url>
<url><loc>https://scifaro.com/en/abs/is-simple-uniform-sampling-effective-for-center-based-clustering-with-outliers-when-and-why-2103.00558</loc><lastmod>2023-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-simple-uniform-sampling-effective-for-center-based-clustering-with-outliers-when-and-why-2103.00558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-simple-uniform-sampling-effective-for-center-based-clustering-with-outliers-when-and-why-2103.00558"/></url>
<url><loc>https://scifaro.com/en/abs/symbiotic-hybrid-neural-network-watchdog-for-outlier-detection-2103.00582</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symbiotic-hybrid-neural-network-watchdog-for-outlier-detection-2103.00582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symbiotic-hybrid-neural-network-watchdog-for-outlier-detection-2103.00582"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-detection-of-stenoses-and-aneurysms-application-in-a-physiologically-realistic-virtual-patient-database-2103.00599</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-detection-of-stenoses-and-aneurysms-application-in-a-physiologically-realistic-virtual-patient-database-2103.00599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-detection-of-stenoses-and-aneurysms-application-in-a-physiologically-realistic-virtual-patient-database-2103.00599"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-domain-adaptation-for-cross-subject-few-shot-neurological-symptom-detection-2103.00606</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-for-cross-subject-few-shot-neurological-symptom-detection-2103.00606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-for-cross-subject-few-shot-neurological-symptom-detection-2103.00606"/></url>
<url><loc>https://scifaro.com/en/abs/robust-learning-under-clean-label-attack-2103.00671</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-learning-under-clean-label-attack-2103.00671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-learning-under-clean-label-attack-2103.00671"/></url>
<url><loc>https://scifaro.com/en/abs/decision-making-in-monopoly-using-a-hybrid-deep-reinforcement-learning-approach-2103.00683</loc><lastmod>2022-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-making-in-monopoly-using-a-hybrid-deep-reinforcement-learning-approach-2103.00683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-making-in-monopoly-using-a-hybrid-deep-reinforcement-learning-approach-2103.00683"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-without-revealing-the-decision-boundaries-2103.00695</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-without-revealing-the-decision-boundaries-2103.00695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-without-revealing-the-decision-boundaries-2103.00695"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneity-for-the-win-one-shot-federated-clustering-2103.00697</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneity-for-the-win-one-shot-federated-clustering-2103.00697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneity-for-the-win-one-shot-federated-clustering-2103.00697"/></url>
<url><loc>https://scifaro.com/en/abs/towards-personalized-federated-learning-2103.00710</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-personalized-federated-learning-2103.00710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-personalized-federated-learning-2103.00710"/></url>
<url><loc>https://scifaro.com/en/abs/localdrop-a-hybrid-regularization-for-deep-neural-networks-2103.00719</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/localdrop-a-hybrid-regularization-for-deep-neural-networks-2103.00719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/localdrop-a-hybrid-regularization-for-deep-neural-networks-2103.00719"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-an-inference-algorithm-for-probabilistic-programs-2103.00737</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-an-inference-algorithm-for-probabilistic-programs-2103.00737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-an-inference-algorithm-for-probabilistic-programs-2103.00737"/></url>
<url><loc>https://scifaro.com/en/abs/automated-machine-learning-on-graphs-a-survey-2103.00742</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-machine-learning-on-graphs-a-survey-2103.00742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-machine-learning-on-graphs-a-survey-2103.00742"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-sampling-for-minimax-fair-classification-2103.00755</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-sampling-for-minimax-fair-classification-2103.00755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-sampling-for-minimax-fair-classification-2103.00755"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-auxiliary-learning-for-graph-neural-networks-via-meta-learning-2103.00771</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-auxiliary-learning-for-graph-neural-networks-via-meta-learning-2103.00771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-auxiliary-learning-for-graph-neural-networks-via-meta-learning-2103.00771"/></url>
<url><loc>https://scifaro.com/en/abs/early-bird-gcns-graph-network-co-optimization-towards-more-efficient-gcn-training-and-inference-via-drawing-early-bird-lottery-tickets-2103.00794</loc><lastmod>2025-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-bird-gcns-graph-network-co-optimization-towards-more-efficient-gcn-training-and-inference-via-drawing-early-bird-lottery-tickets-2103.00794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-bird-gcns-graph-network-co-optimization-towards-more-efficient-gcn-training-and-inference-via-drawing-early-bird-lottery-tickets-2103.00794"/></url>
<url><loc>https://scifaro.com/en/abs/online-anomaly-detection-using-statistical-leverage-for-streaming-business-process-events-2103.00831</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-anomaly-detection-using-statistical-leverage-for-streaming-business-process-events-2103.00831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-anomaly-detection-using-statistical-leverage-for-streaming-business-process-events-2103.00831"/></url>
<url><loc>https://scifaro.com/en/abs/a-brief-summary-of-interactions-between-meta-learning-and-self-supervised-learning-2103.00845</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-brief-summary-of-interactions-between-meta-learning-and-self-supervised-learning-2103.00845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-brief-summary-of-interactions-between-meta-learning-and-self-supervised-learning-2103.00845"/></url>
<url><loc>https://scifaro.com/en/abs/computationally-efficient-wasserstein-loss-for-structured-labels-2103.00899</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computationally-efficient-wasserstein-loss-for-structured-labels-2103.00899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computationally-efficient-wasserstein-loss-for-structured-labels-2103.00899"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-optimization-for-non-linear-optimal-transport-problems-2103.00902</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-optimization-for-non-linear-optimal-transport-problems-2103.00902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-optimization-for-non-linear-optimal-transport-problems-2103.00902"/></url>
<url><loc>https://scifaro.com/en/abs/studd-a-student-teacher-method-for-unsupervised-concept-drift-detection-2103.00903</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/studd-a-student-teacher-method-for-unsupervised-concept-drift-detection-2103.00903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/studd-a-student-teacher-method-for-unsupervised-concept-drift-detection-2103.00903"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-fairness-of-generative-adversarial-networks-gans-2103.00950</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-fairness-of-generative-adversarial-networks-gans-2103.00950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-fairness-of-generative-adversarial-networks-gans-2103.00950"/></url>
<url><loc>https://scifaro.com/en/abs/secure-bilevel-asynchronous-vertical-federated-learning-with-backward-updating-2103.00958</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secure-bilevel-asynchronous-vertical-federated-learning-with-backward-updating-2103.00958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secure-bilevel-asynchronous-vertical-federated-learning-with-backward-updating-2103.00958"/></url>
<url><loc>https://scifaro.com/en/abs/listening-to-the-city-attentively-a-spatio-temporal-attention-boosted-autoencoder-for-the-short-term-flow-prediction-problem-2103.00983</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/listening-to-the-city-attentively-a-spatio-temporal-attention-boosted-autoencoder-for-the-short-term-flow-prediction-problem-2103.00983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/listening-to-the-city-attentively-a-spatio-temporal-attention-boosted-autoencoder-for-the-short-term-flow-prediction-problem-2103.00983"/></url>
<url><loc>https://scifaro.com/en/abs/moment-based-variational-inference-for-stochastic-differential-equations-2103.00988</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moment-based-variational-inference-for-stochastic-differential-equations-2103.00988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moment-based-variational-inference-for-stochastic-differential-equations-2103.00988"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-on-small-size-samples-a-synthetic-knowledge-synthesis-2103.01002</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-on-small-size-samples-a-synthetic-knowledge-synthesis-2103.01002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-on-small-size-samples-a-synthetic-knowledge-synthesis-2103.01002"/></url>
<url><loc>https://scifaro.com/en/abs/gandlf-a-generally-nuanced-deep-learning-framework-for-scalable-end-to-end-clinical-workflows-in-medical-imaging-2103.01006</loc><lastmod>2023-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gandlf-a-generally-nuanced-deep-learning-framework-for-scalable-end-to-end-clinical-workflows-in-medical-imaging-2103.01006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gandlf-a-generally-nuanced-deep-learning-framework-for-scalable-end-to-end-clinical-workflows-in-medical-imaging-2103.01006"/></url>
<url><loc>https://scifaro.com/en/abs/snowflake-scaling-gnns-to-high-dimensional-continuous-control-via-parameter-freezing-2103.01009</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/snowflake-scaling-gnns-to-high-dimensional-continuous-control-via-parameter-freezing-2103.01009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/snowflake-scaling-gnns-to-high-dimensional-continuous-control-via-parameter-freezing-2103.01009"/></url>
<url><loc>https://scifaro.com/en/abs/an-easy-to-interpret-diagnostic-for-approximate-inference-symmetric-divergence-over-simulations-2103.01030</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-easy-to-interpret-diagnostic-for-approximate-inference-symmetric-divergence-over-simulations-2103.01030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-easy-to-interpret-diagnostic-for-approximate-inference-symmetric-divergence-over-simulations-2103.01030"/></url>
<url><loc>https://scifaro.com/en/abs/tax-evasion-risk-management-using-a-hybrid-unsupervised-outlier-detection-method-2103.01033</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tax-evasion-risk-management-using-a-hybrid-unsupervised-outlier-detection-method-2103.01033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tax-evasion-risk-management-using-a-hybrid-unsupervised-outlier-detection-method-2103.01033"/></url>
<url><loc>https://scifaro.com/en/abs/if-only-we-had-better-counterfactual-explanations-five-key-deficits-to-rectify-in-the-evaluation-of-counterfactual-xai-techniques-2103.01035</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/if-only-we-had-better-counterfactual-explanations-five-key-deficits-to-rectify-in-the-evaluation-of-counterfactual-xai-techniques-2103.01035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/if-only-we-had-better-counterfactual-explanations-five-key-deficits-to-rectify-in-the-evaluation-of-counterfactual-xai-techniques-2103.01035"/></url>
<url><loc>https://scifaro.com/en/abs/persistent-message-passing-2103.01043</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/persistent-message-passing-2103.01043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/persistent-message-passing-2103.01043"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-maintenance-tool-for-non-intrusive-inspection-systems-2103.01044</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-maintenance-tool-for-non-intrusive-inspection-systems-2103.01044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-maintenance-tool-for-non-intrusive-inspection-systems-2103.01044"/></url>
<url><loc>https://scifaro.com/en/abs/computing-the-information-content-of-trained-neural-networks-2103.01045</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-the-information-content-of-trained-neural-networks-2103.01045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-the-information-content-of-trained-neural-networks-2103.01045"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-variational-autoencoders-from-a-greenai-perspective-2103.01071</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-variational-autoencoders-from-a-greenai-perspective-2103.01071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-variational-autoencoders-from-a-greenai-perspective-2103.01071"/></url>
<url><loc>https://scifaro.com/en/abs/challenges-and-opportunities-in-high-dimensional-variational-inference-2103.01085</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-and-opportunities-in-high-dimensional-variational-inference-2103.01085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-and-opportunities-in-high-dimensional-variational-inference-2103.01085"/></url>
<url><loc>https://scifaro.com/en/abs/a-biased-graph-neural-network-sampler-with-near-optimal-regret-2103.01089</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-biased-graph-neural-network-sampler-with-near-optimal-regret-2103.01089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-biased-graph-neural-network-sampler-with-near-optimal-regret-2103.01089"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-explanations-for-oblique-decision-trees-exact-efficient-algorithms-2103.01096</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-explanations-for-oblique-decision-trees-exact-efficient-algorithms-2103.01096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-explanations-for-oblique-decision-trees-exact-efficient-algorithms-2103.01096"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-linear-combination-of-classifiers-2103.01109</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-linear-combination-of-classifiers-2103.01109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-linear-combination-of-classifiers-2103.01109"/></url>
<url><loc>https://scifaro.com/en/abs/dtw-merge-a-novel-data-augmentation-technique-for-time-series-classification-2103.01119</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dtw-merge-a-novel-data-augmentation-technique-for-time-series-classification-2103.01119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dtw-merge-a-novel-data-augmentation-technique-for-time-series-classification-2103.01119"/></url>
<url><loc>https://scifaro.com/en/abs/extreme-volatility-prediction-in-stock-market-when-gamestop-meets-long-short-term-memory-networks-2103.01121</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extreme-volatility-prediction-in-stock-market-when-gamestop-meets-long-short-term-memory-networks-2103.01121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extreme-volatility-prediction-in-stock-market-when-gamestop-meets-long-short-term-memory-networks-2103.01121"/></url>
<url><loc>https://scifaro.com/en/abs/automated-data-driven-approach-for-gap-filling-in-the-time-series-using-evolutionary-learning-2103.01124</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-data-driven-approach-for-gap-filling-in-the-time-series-using-evolutionary-learning-2103.01124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-data-driven-approach-for-gap-filling-in-the-time-series-using-evolutionary-learning-2103.01124"/></url>
<url><loc>https://scifaro.com/en/abs/posterior-meta-replay-for-continual-learning-2103.01133</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posterior-meta-replay-for-continual-learning-2103.01133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posterior-meta-replay-for-continual-learning-2103.01133"/></url>
<url><loc>https://scifaro.com/en/abs/domain-generalization-via-inference-time-label-preserving-target-projections-2103.01134</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-generalization-via-inference-time-label-preserving-target-projections-2103.01134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-generalization-via-inference-time-label-preserving-target-projections-2103.01134"/></url>
<url><loc>https://scifaro.com/en/abs/e-2-cm-early-exit-via-class-means-for-efficient-supervised-and-unsupervised-learning-2103.01148</loc><lastmod>2022-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/e-2-cm-early-exit-via-class-means-for-efficient-supervised-and-unsupervised-learning-2103.01148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/e-2-cm-early-exit-via-class-means-for-efficient-supervised-and-unsupervised-learning-2103.01148"/></url>
<url><loc>https://scifaro.com/en/abs/coordination-among-neural-modules-through-a-shared-global-workspace-2103.01197</loc><lastmod>2022-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coordination-among-neural-modules-through-a-shared-global-workspace-2103.01197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coordination-among-neural-modules-through-a-shared-global-workspace-2103.01197"/></url>
<url><loc>https://scifaro.com/en/abs/statistically-significant-stopping-of-neural-network-training-2103.01205</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistically-significant-stopping-of-neural-network-training-2103.01205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistically-significant-stopping-of-neural-network-training-2103.01205"/></url>
<url><loc>https://scifaro.com/en/abs/mind-the-box-l-1-apgd-for-sparse-adversarial-attacks-on-image-classifiers-2103.01208</loc><lastmod>2023-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mind-the-box-l-1-apgd-for-sparse-adversarial-attacks-on-image-classifiers-2103.01208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mind-the-box-l-1-apgd-for-sparse-adversarial-attacks-on-image-classifiers-2103.01208"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-the-benefit-of-using-differentiable-learning-over-tangent-kernels-2103.01210</loc><lastmod>2021-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-the-benefit-of-using-differentiable-learning-over-tangent-kernels-2103.01210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-the-benefit-of-using-differentiable-learning-over-tangent-kernels-2103.01210"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-by-ensemble-learning-for-computational-optical-form-measurements-2103.01259</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-by-ensemble-learning-for-computational-optical-form-measurements-2103.01259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-by-ensemble-learning-for-computational-optical-form-measurements-2103.01259"/></url>
<url><loc>https://scifaro.com/en/abs/a-multiclass-boosting-framework-for-achieving-fast-and-provable-adversarial-robustness-2103.01276</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multiclass-boosting-framework-for-achieving-fast-and-provable-adversarial-robustness-2103.01276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multiclass-boosting-framework-for-achieving-fast-and-provable-adversarial-robustness-2103.01276"/></url>
<url><loc>https://scifaro.com/en/abs/non-euclidean-differentially-private-stochastic-convex-optimization-optimal-rates-in-linear-time-2103.01278</loc><lastmod>2022-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-euclidean-differentially-private-stochastic-convex-optimization-optimal-rates-in-linear-time-2103.01278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-euclidean-differentially-private-stochastic-convex-optimization-optimal-rates-in-linear-time-2103.01278"/></url>
<url><loc>https://scifaro.com/en/abs/performance-variability-in-zero-shot-classification-2103.01284</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-variability-in-zero-shot-classification-2103.01284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-variability-in-zero-shot-classification-2103.01284"/></url>
<url><loc>https://scifaro.com/en/abs/generative-particle-variational-inference-via-estimation-of-functional-gradients-2103.01291</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-particle-variational-inference-via-estimation-of-functional-gradients-2103.01291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-particle-variational-inference-via-estimation-of-functional-gradients-2103.01291"/></url>
<url><loc>https://scifaro.com/en/abs/wide-network-learning-with-differential-privacy-2103.01294</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wide-network-learning-with-differential-privacy-2103.01294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wide-network-learning-with-differential-privacy-2103.01294"/></url>
<url><loc>https://scifaro.com/en/abs/swis-shared-weight-bit-sparsity-for-efficient-neural-network-acceleration-2103.01308</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/swis-shared-weight-bit-sparsity-for-efficient-neural-network-acceleration-2103.01308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/swis-shared-weight-bit-sparsity-for-efficient-neural-network-acceleration-2103.01308"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-in-communication-constrained-federated-learning-2103.01319</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-in-communication-constrained-federated-learning-2103.01319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-in-communication-constrained-federated-learning-2103.01319"/></url>
<url><loc>https://scifaro.com/en/abs/acceleration-via-fractal-learning-rate-schedules-2103.01338</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/acceleration-via-fractal-learning-rate-schedules-2103.01338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/acceleration-via-fractal-learning-rate-schedules-2103.01338"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-adaptive-mesh-refinement-2103.01342</loc><lastmod>2023-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-adaptive-mesh-refinement-2103.01342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-adaptive-mesh-refinement-2103.01342"/></url>
<url><loc>https://scifaro.com/en/abs/operator-inference-of-non-markovian-terms-for-learning-reduced-models-from-partially-observed-state-trajectories-2103.01362</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/operator-inference-of-non-markovian-terms-for-learning-reduced-models-from-partially-observed-state-trajectories-2103.01362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/operator-inference-of-non-markovian-terms-for-learning-reduced-models-from-partially-observed-state-trajectories-2103.01362"/></url>
<url><loc>https://scifaro.com/en/abs/a-kernel-framework-to-quantify-a-model-s-local-predictive-uncertainty-under-data-distributional-shifts-2103.01374</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-kernel-framework-to-quantify-a-model-s-local-predictive-uncertainty-under-data-distributional-shifts-2103.01374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-kernel-framework-to-quantify-a-model-s-local-predictive-uncertainty-under-data-distributional-shifts-2103.01374"/></url>
<url><loc>https://scifaro.com/en/abs/sample-complexity-and-overparameterization-bounds-for-temporal-difference-learning-with-neural-network-approximation-2103.01391</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-complexity-and-overparameterization-bounds-for-temporal-difference-learning-with-neural-network-approximation-2103.01391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-complexity-and-overparameterization-bounds-for-temporal-difference-learning-with-neural-network-approximation-2103.01391"/></url>
<url><loc>https://scifaro.com/en/abs/deepreduce-relu-reduction-for-fast-private-inference-2103.01396</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepreduce-relu-reduction-for-fast-private-inference-2103.01396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepreduce-relu-reduction-for-fast-private-inference-2103.01396"/></url>
<url><loc>https://scifaro.com/en/abs/smoothness-analysis-of-adversarial-training-2103.01400</loc><lastmod>2023-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothness-analysis-of-adversarial-training-2103.01400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothness-analysis-of-adversarial-training-2103.01400"/></url>
<url><loc>https://scifaro.com/en/abs/a-minimalist-dataset-for-systematic-generalization-of-perception-syntax-and-semantics-2103.01403</loc><lastmod>2023-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-minimalist-dataset-for-systematic-generalization-of-perception-syntax-and-semantics-2103.01403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-minimalist-dataset-for-systematic-generalization-of-perception-syntax-and-semantics-2103.01403"/></url>
<url><loc>https://scifaro.com/en/abs/safe-learning-of-uncertain-environments-2103.01413</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-learning-of-uncertain-environments-2103.01413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-learning-of-uncertain-environments-2103.01413"/></url>
<url><loc>https://scifaro.com/en/abs/adenet-deep-learning-architecture-that-identifies-damaged-electrical-insulators-in-power-lines-2103.01426</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adenet-deep-learning-architecture-that-identifies-damaged-electrical-insulators-in-power-lines-2103.01426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adenet-deep-learning-architecture-that-identifies-damaged-electrical-insulators-in-power-lines-2103.01426"/></url>
<url><loc>https://scifaro.com/en/abs/botcha-detecting-malicious-non-human-traffic-in-the-wild-2103.01428</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/botcha-detecting-malicious-non-human-traffic-in-the-wild-2103.01428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/botcha-detecting-malicious-non-human-traffic-in-the-wild-2103.01428"/></url>
<url><loc>https://scifaro.com/en/abs/forcenet-a-graph-neural-network-for-large-scale-quantum-calculations-2103.01436</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forcenet-a-graph-neural-network-for-large-scale-quantum-calculations-2103.01436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forcenet-a-graph-neural-network-for-large-scale-quantum-calculations-2103.01436"/></url>
<url><loc>https://scifaro.com/en/abs/zerosarah-efficient-nonconvex-finite-sum-optimization-with-zero-full-gradient-computation-2103.01447</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zerosarah-efficient-nonconvex-finite-sum-optimization-with-zero-full-gradient-computation-2103.01447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zerosarah-efficient-nonconvex-finite-sum-optimization-with-zero-full-gradient-computation-2103.01447"/></url>
<url><loc>https://scifaro.com/en/abs/online-orthogonal-dictionary-learning-based-on-frank-wolfe-method-2103.01484</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-orthogonal-dictionary-learning-based-on-frank-wolfe-method-2103.01484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-orthogonal-dictionary-learning-based-on-frank-wolfe-method-2103.01484"/></url>
<url><loc>https://scifaro.com/en/abs/multi-level-attention-pooling-for-graph-neural-networks-unifying-graph-representations-with-multiple-localities-2103.01488</loc><lastmod>2022-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-level-attention-pooling-for-graph-neural-networks-unifying-graph-representations-with-multiple-localities-2103.01488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-level-attention-pooling-for-graph-neural-networks-unifying-graph-representations-with-multiple-localities-2103.01488"/></url>
<url><loc>https://scifaro.com/en/abs/mind-mappings-enabling-efficient-algorithm-accelerator-mapping-space-search-2103.01489</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mind-mappings-enabling-efficient-algorithm-accelerator-mapping-space-search-2103.01489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mind-mappings-enabling-efficient-algorithm-accelerator-mapping-space-search-2103.01489"/></url>
<url><loc>https://scifaro.com/en/abs/task-adaptive-neural-network-search-with-meta-contrastive-learning-2103.01495</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-adaptive-neural-network-search-with-meta-contrastive-learning-2103.01495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-adaptive-neural-network-search-with-meta-contrastive-learning-2103.01495"/></url>
<url><loc>https://scifaro.com/en/abs/dplis-boosting-utility-of-differentially-private-deep-learning-via-randomized-smoothing-2103.01496</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dplis-boosting-utility-of-differentially-private-deep-learning-via-randomized-smoothing-2103.01496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dplis-boosting-utility-of-differentially-private-deep-learning-via-randomized-smoothing-2103.01496"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-universal-adversarial-attack-2103.01498</loc><lastmod>2022-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-universal-adversarial-attack-2103.01498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-universal-adversarial-attack-2103.01498"/></url>
<url><loc>https://scifaro.com/en/abs/demystifying-batch-normalization-in-relu-networks-equivalent-convex-optimization-models-and-implicit-regularization-2103.01499</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-batch-normalization-in-relu-networks-equivalent-convex-optimization-models-and-implicit-regularization-2103.01499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-batch-normalization-in-relu-networks-equivalent-convex-optimization-models-and-implicit-regularization-2103.01499"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-classification-via-adaptive-resonance-theory-based-clustering-2103.01511</loc><lastmod>2024-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-classification-via-adaptive-resonance-theory-based-clustering-2103.01511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-classification-via-adaptive-resonance-theory-based-clustering-2103.01511"/></url>
<url><loc>https://scifaro.com/en/abs/private-stochastic-convex-optimization-optimal-rates-in-ell-1-geometry-2103.01516</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-stochastic-convex-optimization-optimal-rates-in-ell-1-geometry-2103.01516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-stochastic-convex-optimization-optimal-rates-in-ell-1-geometry-2103.01516"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-memory-mechanism-of-tensor-power-recurrent-models-2103.01521</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-memory-mechanism-of-tensor-power-recurrent-models-2103.01521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-memory-mechanism-of-tensor-power-recurrent-models-2103.01521"/></url>
<url><loc>https://scifaro.com/en/abs/pfa-privacy-preserving-federated-adaptation-for-effective-model-personalization-2103.01548</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pfa-privacy-preserving-federated-adaptation-for-effective-model-personalization-2103.01548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pfa-privacy-preserving-federated-adaptation-for-effective-model-personalization-2103.01548"/></url>
<url><loc>https://scifaro.com/en/abs/label-imbalanced-and-group-sensitive-classification-under-overparameterization-2103.01550</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-imbalanced-and-group-sensitive-classification-under-overparameterization-2103.01550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-imbalanced-and-group-sensitive-classification-under-overparameterization-2103.01550"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-based-models-for-influence-maximization-on-graphs-based-on-gaussian-process-variance-minimization-2103.01575</loc><lastmod>2022-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-based-models-for-influence-maximization-on-graphs-based-on-gaussian-process-variance-minimization-2103.01575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-based-models-for-influence-maximization-on-graphs-based-on-gaussian-process-variance-minimization-2103.01575"/></url>
<url><loc>https://scifaro.com/en/abs/finmatcher-at-finsim-2-hypernym-detection-in-the-financial-services-domain-using-knowledge-graphs-2103.01576</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finmatcher-at-finsim-2-hypernym-detection-in-the-financial-services-domain-using-knowledge-graphs-2103.01576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finmatcher-at-finsim-2-hypernym-detection-in-the-financial-services-domain-using-knowledge-graphs-2103.01576"/></url>
<url><loc>https://scifaro.com/en/abs/missing-value-imputation-on-multidimensional-time-series-2103.01600</loc><lastmod>2023-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/missing-value-imputation-on-multidimensional-time-series-2103.01600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/missing-value-imputation-on-multidimensional-time-series-2103.01600"/></url>
<url><loc>https://scifaro.com/en/abs/mini-batch-consistent-slot-set-encoder-for-scalable-set-encoding-2103.01615</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mini-batch-consistent-slot-set-encoder-for-scalable-set-encoding-2103.01615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mini-batch-consistent-slot-set-encoder-for-scalable-set-encoding-2103.01615"/></url>
<url><loc>https://scifaro.com/en/abs/deepcert-verification-of-contextually-relevant-robustness-for-neural-network-image-classifiers-2103.01629</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepcert-verification-of-contextually-relevant-robustness-for-neural-network-image-classifiers-2103.01629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepcert-verification-of-contextually-relevant-robustness-for-neural-network-image-classifiers-2103.01629"/></url>
<url><loc>https://scifaro.com/en/abs/learning-disentangled-representations-via-product-manifold-projection-2103.01638</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-disentangled-representations-via-product-manifold-projection-2103.01638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-disentangled-representations-via-product-manifold-projection-2103.01638"/></url>
<url><loc>https://scifaro.com/en/abs/double-coverage-with-machine-learned-advice-2103.01640</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-coverage-with-machine-learned-advice-2103.01640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-coverage-with-machine-learned-advice-2103.01640"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-hyperspherical-uniformity-2103.01649</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-hyperspherical-uniformity-2103.01649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-hyperspherical-uniformity-2103.01649"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-symmetric-nonnegative-matrix-factorization-2103.01689</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-symmetric-nonnegative-matrix-factorization-2103.01689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-symmetric-nonnegative-matrix-factorization-2103.01689"/></url>
<url><loc>https://scifaro.com/en/abs/autobahn-automorphism-based-graph-neural-nets-2103.01710</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autobahn-automorphism-based-graph-neural-nets-2103.01710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autobahn-automorphism-based-graph-neural-nets-2103.01710"/></url>
<url><loc>https://scifaro.com/en/abs/graph-time-convolutional-neural-networks-2103.01730</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-time-convolutional-neural-networks-2103.01730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-time-convolutional-neural-networks-2103.01730"/></url>
<url><loc>https://scifaro.com/en/abs/graph-information-vanishing-phenomenon-inimplicit-graph-neural-networks-2103.01770</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-information-vanishing-phenomenon-inimplicit-graph-neural-networks-2103.01770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-information-vanishing-phenomenon-inimplicit-graph-neural-networks-2103.01770"/></url>
<url><loc>https://scifaro.com/en/abs/strategic-classification-made-practical-2103.01826</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strategic-classification-made-practical-2103.01826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strategic-classification-made-practical-2103.01826"/></url>
<url><loc>https://scifaro.com/en/abs/factoring-out-prior-knowledge-from-low-dimensional-embeddings-2103.01828</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factoring-out-prior-knowledge-from-low-dimensional-embeddings-2103.01828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factoring-out-prior-knowledge-from-low-dimensional-embeddings-2103.01828"/></url>
<url><loc>https://scifaro.com/en/abs/the-kl-divergence-between-a-graph-model-and-its-fair-i-projection-as-a-fairness-regularizer-2103.01846</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-kl-divergence-between-a-graph-model-and-its-fair-i-projection-as-a-fairness-regularizer-2103.01846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-kl-divergence-between-a-graph-model-and-its-fair-i-projection-as-a-fairness-regularizer-2103.01846"/></url>
<url><loc>https://scifaro.com/en/abs/financial-crime-fraud-detection-using-graph-computing-application-considerations-outlook-2103.01854</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/financial-crime-fraud-detection-using-graph-computing-application-considerations-outlook-2103.01854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/financial-crime-fraud-detection-using-graph-computing-application-considerations-outlook-2103.01854"/></url>
<url><loc>https://scifaro.com/en/abs/physical-activity-recognition-based-on-a-parallel-approach-for-an-ensemble-of-machine-learning-and-deep-learning-classifiers-2103.01859</loc><lastmod>2022-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physical-activity-recognition-based-on-a-parallel-approach-for-an-ensemble-of-machine-learning-and-deep-learning-classifiers-2103.01859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physical-activity-recognition-based-on-a-parallel-approach-for-an-ensemble-of-machine-learning-and-deep-learning-classifiers-2103.01859"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-control-of-room-temperature-and-bidirectional-ev-charging-using-deep-reinforcement-learning-simulations-and-experiments-2103.01886</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-control-of-room-temperature-and-bidirectional-ev-charging-using-deep-reinforcement-learning-simulations-and-experiments-2103.01886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-control-of-room-temperature-and-bidirectional-ev-charging-using-deep-reinforcement-learning-simulations-and-experiments-2103.01886"/></url>
<url><loc>https://scifaro.com/en/abs/dm-algorithms-in-health-industry-2103.01888</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dm-algorithms-in-health-industry-2103.01888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dm-algorithms-in-health-industry-2103.01888"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-can-be-effective-data-augmentation-for-unsupervised-machine-learning-2103.01895</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-can-be-effective-data-augmentation-for-unsupervised-machine-learning-2103.01895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-can-be-effective-data-augmentation-for-unsupervised-machine-learning-2103.01895"/></url>
<url><loc>https://scifaro.com/en/abs/a-spectral-enabled-gan-for-time-series-data-generation-2103.01904</loc><lastmod>2021-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spectral-enabled-gan-for-time-series-data-generation-2103.01904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spectral-enabled-gan-for-time-series-data-generation-2103.01904"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-the-robustness-of-geometry-aware-instance-reweighted-adversarial-training-2103.01914</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-the-robustness-of-geometry-aware-instance-reweighted-adversarial-training-2103.01914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-the-robustness-of-geometry-aware-instance-reweighted-adversarial-training-2103.01914"/></url>
<url><loc>https://scifaro.com/en/abs/categorical-foundations-of-gradient-based-learning-2103.01931</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/categorical-foundations-of-gradient-based-learning-2103.01931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/categorical-foundations-of-gradient-based-learning-2103.01931"/></url>
<url><loc>https://scifaro.com/en/abs/offline-reinforcement-learning-with-pseudometric-learning-2103.01948</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-reinforcement-learning-with-pseudometric-learning-2103.01948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-reinforcement-learning-with-pseudometric-learning-2103.01948"/></url>
<url><loc>https://scifaro.com/en/abs/the-surprising-effectiveness-of-ppo-in-cooperative-multi-agent-games-2103.01955</loc><lastmod>2022-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-surprising-effectiveness-of-ppo-in-cooperative-multi-agent-games-2103.01955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-surprising-effectiveness-of-ppo-in-cooperative-multi-agent-games-2103.01955"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-environment-generation-for-learning-to-navigate-the-web-2103.01991</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-environment-generation-for-learning-to-navigate-the-web-2103.01991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-environment-generation-for-learning-to-navigate-the-web-2103.01991"/></url>
<url><loc>https://scifaro.com/en/abs/improving-neural-networks-for-time-series-forecasting-using-data-augmentation-and-automl-2103.01992</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-neural-networks-for-time-series-forecasting-using-data-augmentation-and-automl-2103.01992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-neural-networks-for-time-series-forecasting-using-data-augmentation-and-automl-2103.01992"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-semi-supervised-learning-and-more-a-general-framework-for-clustering-with-stochastic-pairwise-constraints-2103.02013</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-semi-supervised-learning-and-more-a-general-framework-for-clustering-with-stochastic-pairwise-constraints-2103.02013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-semi-supervised-learning-and-more-a-general-framework-for-clustering-with-stochastic-pairwise-constraints-2103.02013"/></url>
<url><loc>https://scifaro.com/en/abs/online-adversarial-attacks-2103.02014</loc><lastmod>2022-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-adversarial-attacks-2103.02014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-adversarial-attacks-2103.02014"/></url>
<url><loc>https://scifaro.com/en/abs/cross-gradient-aggregation-for-decentralized-learning-from-non-iid-data-2103.02051</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-gradient-aggregation-for-decentralized-learning-from-non-iid-data-2103.02051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-gradient-aggregation-for-decentralized-learning-from-non-iid-data-2103.02051"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduced-training-with-stratified-sampling-for-forecasting-models-2103.02062</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduced-training-with-stratified-sampling-for-forecasting-models-2103.02062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduced-training-with-stratified-sampling-for-forecasting-models-2103.02062"/></url>
<url><loc>https://scifaro.com/en/abs/dp-instahide-provably-defusing-poisoning-and-backdoor-attacks-with-differentially-private-data-augmentations-2103.02079</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dp-instahide-provably-defusing-poisoning-and-backdoor-attacks-with-differentially-private-data-augmentations-2103.02079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dp-instahide-provably-defusing-poisoning-and-backdoor-attacks-with-differentially-private-data-augmentations-2103.02079"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-model-learning-2103.02084</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-model-learning-2103.02084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-model-learning-2103.02084"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-neural-architecture-learning-for-efficient-neural-network-design-2103.02126</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-neural-architecture-learning-for-efficient-neural-network-design-2103.02126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-neural-architecture-learning-for-efficient-neural-network-design-2103.02126"/></url>
<url><loc>https://scifaro.com/en/abs/parametric-complexity-bounds-for-approximating-pdes-with-neural-networks-2103.02138</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametric-complexity-bounds-for-approximating-pdes-with-neural-networks-2103.02138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametric-complexity-bounds-for-approximating-pdes-with-neural-networks-2103.02138"/></url>
<url><loc>https://scifaro.com/en/abs/two-stage-framework-for-seasonal-time-series-forecasting-2103.02144</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-stage-framework-for-seasonal-time-series-forecasting-2103.02144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-stage-framework-for-seasonal-time-series-forecasting-2103.02144"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-and-wide-neural-network-based-model-for-rajasthan-summer-monsoon-rainfall-rsmr-prediction-2103.02157</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-and-wide-neural-network-based-model-for-rajasthan-summer-monsoon-rainfall-rsmr-prediction-2103.02157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-and-wide-neural-network-based-model-for-rajasthan-summer-monsoon-rainfall-rsmr-prediction-2103.02157"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-driver-fatigue-in-automated-driving-with-explainability-2103.02162</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-driver-fatigue-in-automated-driving-with-explainability-2103.02162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-driver-fatigue-in-automated-driving-with-explainability-2103.02162"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-gaussian-mixture-based-deep-generative-model-for-robust-forecasting-on-sparse-multivariate-time-series-2103.02164</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-gaussian-mixture-based-deep-generative-model-for-robust-forecasting-on-sparse-multivariate-time-series-2103.02164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-gaussian-mixture-based-deep-generative-model-for-robust-forecasting-on-sparse-multivariate-time-series-2103.02164"/></url>
<url><loc>https://scifaro.com/en/abs/formalizing-generalization-and-robustness-of-neural-networks-to-weight-perturbations-2103.02200</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/formalizing-generalization-and-robustness-of-neural-networks-to-weight-perturbations-2103.02200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/formalizing-generalization-and-robustness-of-neural-networks-to-weight-perturbations-2103.02200"/></url>
<url><loc>https://scifaro.com/en/abs/foresee-then-evaluate-decomposing-value-estimation-with-latent-future-prediction-2103.02225</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/foresee-then-evaluate-decomposing-value-estimation-with-latent-future-prediction-2103.02225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/foresee-then-evaluate-decomposing-value-estimation-with-latent-future-prediction-2103.02225"/></url>
<url><loc>https://scifaro.com/en/abs/lqresnet-a-deep-neural-network-architecture-for-learning-dynamic-processes-2103.02249</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lqresnet-a-deep-neural-network-architecture-for-learning-dynamic-processes-2103.02249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lqresnet-a-deep-neural-network-architecture-for-learning-dynamic-processes-2103.02249"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-with-variational-bayes-2103.02265</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-with-variational-bayes-2103.02265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-with-variational-bayes-2103.02265"/></url>
<url><loc>https://scifaro.com/en/abs/addressing-action-oscillations-through-learning-policy-inertia-2103.02287</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addressing-action-oscillations-through-learning-policy-inertia-2103.02287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addressing-action-oscillations-through-learning-policy-inertia-2103.02287"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effectiveness-of-adversarial-training-against-common-corruptions-2103.02325</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effectiveness-of-adversarial-training-against-common-corruptions-2103.02325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effectiveness-of-adversarial-training-against-common-corruptions-2103.02325"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-virus-spreading-forecasting-a-brief-survey-2103.02346</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-virus-spreading-forecasting-a-brief-survey-2103.02346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-virus-spreading-forecasting-a-brief-survey-2103.02346"/></url>
<url><loc>https://scifaro.com/en/abs/a-hamiltonian-monte-carlo-model-for-imputation-and-augmentation-of-healthcare-data-2103.02349</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hamiltonian-monte-carlo-model-for-imputation-and-augmentation-of-healthcare-data-2103.02349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hamiltonian-monte-carlo-model-for-imputation-and-augmentation-of-healthcare-data-2103.02349"/></url>
<url><loc>https://scifaro.com/en/abs/critical-parameters-for-scalable-distributed-learning-with-large-batches-and-asynchronous-updates-2103.02351</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/critical-parameters-for-scalable-distributed-learning-with-large-batches-and-asynchronous-updates-2103.02351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/critical-parameters-for-scalable-distributed-learning-with-large-batches-and-asynchronous-updates-2103.02351"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-robustness-of-counterfactual-explanations-2103.02354</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-robustness-of-counterfactual-explanations-2103.02354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-robustness-of-counterfactual-explanations-2103.02354"/></url>
<url><loc>https://scifaro.com/en/abs/relate-and-predict-structure-aware-prediction-with-jointly-optimized-neural-dag-2103.02405</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relate-and-predict-structure-aware-prediction-with-jointly-optimized-neural-dag-2103.02405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relate-and-predict-structure-aware-prediction-with-jointly-optimized-neural-dag-2103.02405"/></url>
<url><loc>https://scifaro.com/en/abs/land-cover-mapping-in-limited-labels-scenario-a-survey-2103.02429</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/land-cover-mapping-in-limited-labels-scenario-a-survey-2103.02429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/land-cover-mapping-in-limited-labels-scenario-a-survey-2103.02429"/></url>
<url><loc>https://scifaro.com/en/abs/regularizing-towards-causal-invariance-linear-models-with-proxies-2103.02477</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizing-towards-causal-invariance-linear-models-with-proxies-2103.02477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizing-towards-causal-invariance-linear-models-with-proxies-2103.02477"/></url>
<url><loc>https://scifaro.com/en/abs/domain-generalization-a-survey-2103.02503</loc><lastmod>2022-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-generalization-a-survey-2103.02503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-generalization-a-survey-2103.02503"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-by-leveraging-the-semantic-information-2103.02546</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-by-leveraging-the-semantic-information-2103.02546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-by-leveraging-the-semantic-information-2103.02546"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-distortion-embedding-2103.02559</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-distortion-embedding-2103.02559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-distortion-embedding-2103.02559"/></url>
<url><loc>https://scifaro.com/en/abs/glamour-graph-learning-over-macromolecule-representations-2103.02565</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/glamour-graph-learning-over-macromolecule-representations-2103.02565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/glamour-graph-learning-over-macromolecule-representations-2103.02565"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-learning-with-a-structural-recurrent-neural-network-for-short-term-traffic-prediction-2103.02578</loc><lastmod>2021-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-learning-with-a-structural-recurrent-neural-network-for-short-term-traffic-prediction-2103.02578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-learning-with-a-structural-recurrent-neural-network-for-short-term-traffic-prediction-2103.02578"/></url>
<url><loc>https://scifaro.com/en/abs/d-ya-like-dags-a-survey-on-structure-learning-and-causal-discovery-2103.02582</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/d-ya-like-dags-a-survey-on-structure-learning-and-causal-discovery-2103.02582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/d-ya-like-dags-a-survey-on-structure-learning-and-causal-discovery-2103.02582"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-and-automated-machine-learning-approaches-for-oil-fields-development-the-case-study-of-volve-field-north-sea-2103.02598</loc><lastmod>2022-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-and-automated-machine-learning-approaches-for-oil-fields-development-the-case-study-of-volve-field-north-sea-2103.02598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-and-automated-machine-learning-approaches-for-oil-fields-development-the-case-study-of-volve-field-north-sea-2103.02598"/></url>
<url><loc>https://scifaro.com/en/abs/hypothesis-testing-for-class-conditional-label-noise-2103.02630</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypothesis-testing-for-class-conditional-label-noise-2103.02630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypothesis-testing-for-class-conditional-label-noise-2103.02630"/></url>
<url><loc>https://scifaro.com/en/abs/rotograd-gradient-homogenization-in-multitask-learning-2103.02631</loc><lastmod>2022-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rotograd-gradient-homogenization-in-multitask-learning-2103.02631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rotograd-gradient-homogenization-in-multitask-learning-2103.02631"/></url>
<url><loc>https://scifaro.com/en/abs/successor-feature-sets-generalizing-successor-representations-across-policies-2103.02650</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/successor-feature-sets-generalizing-successor-representations-across-policies-2103.02650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/successor-feature-sets-generalizing-successor-representations-across-policies-2103.02650"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-adversarial-network-based-end-to-end-communications-system-with-strong-generalization-ability-against-adversarial-attacks-2103.02654</loc><lastmod>2022-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-adversarial-network-based-end-to-end-communications-system-with-strong-generalization-ability-against-adversarial-attacks-2103.02654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-adversarial-network-based-end-to-end-communications-system-with-strong-generalization-ability-against-adversarial-attacks-2103.02654"/></url>
<url><loc>https://scifaro.com/en/abs/lazy-fsca-for-unsupervised-variable-selection-2103.02687</loc><lastmod>2025-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lazy-fsca-for-unsupervised-variable-selection-2103.02687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lazy-fsca-for-unsupervised-variable-selection-2103.02687"/></url>
<url><loc>https://scifaro.com/en/abs/shift-invariance-can-reduce-adversarial-robustness-2103.02695</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shift-invariance-can-reduce-adversarial-robustness-2103.02695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shift-invariance-can-reduce-adversarial-robustness-2103.02695"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-importance-of-sampling-in-training-gcns-tighter-analysis-and-variance-reduction-2103.02696</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-importance-of-sampling-in-training-gcns-tighter-analysis-and-variance-reduction-2103.02696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-importance-of-sampling-in-training-gcns-tighter-analysis-and-variance-reduction-2103.02696"/></url>
<url><loc>https://scifaro.com/en/abs/a-modified-drake-equation-for-assessing-adversarial-risk-to-machine-learning-models-2103.02718</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-modified-drake-equation-for-assessing-adversarial-risk-to-machine-learning-models-2103.02718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-modified-drake-equation-for-assessing-adversarial-risk-to-machine-learning-models-2103.02718"/></url>
<url><loc>https://scifaro.com/en/abs/linear-bandit-algorithms-with-sublinear-time-complexity-2103.02729</loc><lastmod>2022-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-bandit-algorithms-with-sublinear-time-complexity-2103.02729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-bandit-algorithms-with-sublinear-time-complexity-2103.02729"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-of-exposure-in-stochastic-bandits-2103.02735</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-of-exposure-in-stochastic-bandits-2103.02735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-of-exposure-in-stochastic-bandits-2103.02735"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-bandits-without-total-order-for-arms-2103.02741</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-bandits-without-total-order-for-arms-2103.02741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-bandits-without-total-order-for-arms-2103.02741"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-the-value-of-labeled-and-unlabeled-data-in-method-of-moments-latent-variable-estimation-2103.02761</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-the-value-of-labeled-and-unlabeled-data-in-method-of-moments-latent-variable-estimation-2103.02761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-the-value-of-labeled-and-unlabeled-data-in-method-of-moments-latent-variable-estimation-2103.02761"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-and-optimization-of-distributed-machine-learning-techniques-for-internet-of-things-2103.02762</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-and-optimization-of-distributed-machine-learning-techniques-for-internet-of-things-2103.02762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-and-optimization-of-distributed-machine-learning-techniques-for-internet-of-things-2103.02762"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-predict-with-supporting-evidence-applications-to-clinical-risk-prediction-2103.02768</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-predict-with-supporting-evidence-applications-to-clinical-risk-prediction-2103.02768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-predict-with-supporting-evidence-applications-to-clinical-risk-prediction-2103.02768"/></url>
<url><loc>https://scifaro.com/en/abs/learning-accurate-and-interpretable-decision-rule-sets-from-neural-networks-2103.02826</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-accurate-and-interpretable-decision-rule-sets-from-neural-networks-2103.02826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-accurate-and-interpretable-decision-rule-sets-from-neural-networks-2103.02826"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-and-optimality-of-policy-gradient-for-markov-coherent-risk-2103.02827</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-and-optimality-of-policy-gradient-for-markov-coherent-risk-2103.02827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-and-optimality-of-policy-gradient-for-markov-coherent-risk-2103.02827"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-reinforcement-learning-with-explicit-policy-estimates-2103.02863</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-with-explicit-policy-estimates-2103.02863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-with-explicit-policy-estimates-2103.02863"/></url>
<url><loc>https://scifaro.com/en/abs/bad-and-good-errors-value-weighted-skill-scores-in-deep-ensemble-learning-2103.02881</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bad-and-good-errors-value-weighted-skill-scores-in-deep-ensemble-learning-2103.02881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bad-and-good-errors-value-weighted-skill-scores-in-deep-ensemble-learning-2103.02881"/></url>
<url><loc>https://scifaro.com/en/abs/extract-the-knowledge-of-graph-neural-networks-and-go-beyond-it-an-effective-knowledge-distillation-framework-2103.02885</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extract-the-knowledge-of-graph-neural-networks-and-go-beyond-it-an-effective-knowledge-distillation-framework-2103.02885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extract-the-knowledge-of-graph-neural-networks-and-go-beyond-it-an-effective-knowledge-distillation-framework-2103.02885"/></url>
<url><loc>https://scifaro.com/en/abs/improving-computational-efficiency-in-visual-reinforcement-learning-via-stored-embeddings-2103.02886</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-computational-efficiency-in-visual-reinforcement-learning-via-stored-embeddings-2103.02886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-computational-efficiency-in-visual-reinforcement-learning-via-stored-embeddings-2103.02886"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-training-convolutional-neural-networks-on-edge-devices-with-gradient-pruned-sign-symmetric-feedback-alignment-2103.02889</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-training-convolutional-neural-networks-on-edge-devices-with-gradient-pruned-sign-symmetric-feedback-alignment-2103.02889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-training-convolutional-neural-networks-on-edge-devices-with-gradient-pruned-sign-symmetric-feedback-alignment-2103.02889"/></url>
<url><loc>https://scifaro.com/en/abs/toward-robust-long-range-policy-transfer-2103.02957</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-robust-long-range-policy-transfer-2103.02957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-robust-long-range-policy-transfer-2103.02957"/></url>
<url><loc>https://scifaro.com/en/abs/analysing-wideband-absorbance-immittance-in-normal-and-ears-with-otitis-media-with-effusion-using-machine-learning-2103.02982</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysing-wideband-absorbance-immittance-in-normal-and-ears-with-otitis-media-with-effusion-using-machine-learning-2103.02982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysing-wideband-absorbance-immittance-in-normal-and-ears-with-otitis-media-with-effusion-using-machine-learning-2103.02982"/></url>
<url><loc>https://scifaro.com/en/abs/learning-based-adaptive-control-using-contraction-theory-2103.02987</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-based-adaptive-control-using-contraction-theory-2103.02987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-based-adaptive-control-using-contraction-theory-2103.02987"/></url>
<url><loc>https://scifaro.com/en/abs/the-transformer-network-for-the-traveling-salesman-problem-2103.03012</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-transformer-network-for-the-traveling-salesman-problem-2103.03012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-transformer-network-for-the-traveling-salesman-problem-2103.03012"/></url>
<url><loc>https://scifaro.com/en/abs/lost-in-pruning-the-effects-of-pruning-neural-networks-beyond-test-accuracy-2103.03014</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lost-in-pruning-the-effects-of-pruning-neural-networks-beyond-test-accuracy-2103.03014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lost-in-pruning-the-effects-of-pruning-neural-networks-beyond-test-accuracy-2103.03014"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-graph-structure-learning-progress-and-opportunities-2103.03036</loc><lastmod>2022-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-graph-structure-learning-progress-and-opportunities-2103.03036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-graph-structure-learning-progress-and-opportunities-2103.03036"/></url>
<url><loc>https://scifaro.com/en/abs/neuromechanics-based-deep-reinforcement-learning-of-neurostimulation-control-in-fes-cycling-2103.03057</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuromechanics-based-deep-reinforcement-learning-of-neurostimulation-control-in-fes-cycling-2103.03057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuromechanics-based-deep-reinforcement-learning-of-neurostimulation-control-in-fes-cycling-2103.03057"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-efficient-adversarial-training-guided-by-gradient-magnitude-2103.03076</loc><lastmod>2023-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-efficient-adversarial-training-guided-by-gradient-magnitude-2103.03076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-efficient-adversarial-training-guided-by-gradient-magnitude-2103.03076"/></url>
<url><loc>https://scifaro.com/en/abs/an-overview-of-artificial-intelligence-techniques-for-diagnosis-of-schizophrenia-based-on-magnetic-resonance-imaging-modalities-methods-challenges-and-future-works-2103.03081</loc><lastmod>2022-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-overview-of-artificial-intelligence-techniques-for-diagnosis-of-schizophrenia-based-on-magnetic-resonance-imaging-modalities-methods-challenges-and-future-works-2103.03081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-overview-of-artificial-intelligence-techniques-for-diagnosis-of-schizophrenia-based-on-magnetic-resonance-imaging-modalities-methods-challenges-and-future-works-2103.03081"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-to-unseen-domains-a-survey-on-domain-generalization-2103.03097</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-to-unseen-domains-a-survey-on-domain-generalization-2103.03097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-to-unseen-domains-a-survey-on-domain-generalization-2103.03097"/></url>
<url><loc>https://scifaro.com/en/abs/accounting-for-variance-in-machine-learning-benchmarks-2103.03098</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accounting-for-variance-in-machine-learning-benchmarks-2103.03098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accounting-for-variance-in-machine-learning-benchmarks-2103.03098"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-robustness-of-deep-learning-classifiers-using-two-factor-perturbation-2103.03102</loc><lastmod>2023-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-robustness-of-deep-learning-classifiers-using-two-factor-perturbation-2103.03102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-robustness-of-deep-learning-classifiers-using-two-factor-perturbation-2103.03102"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-artificial-intelligence-through-the-lens-of-feature-interaction-2103.03103</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-artificial-intelligence-through-the-lens-of-feature-interaction-2103.03103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-artificial-intelligence-through-the-lens-of-feature-interaction-2103.03103"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-run-a-power-network-challenge-a-retrospective-analysis-2103.03104</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-run-a-power-network-challenge-a-retrospective-analysis-2103.03104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-run-a-power-network-challenge-a-retrospective-analysis-2103.03104"/></url>
<url><loc>https://scifaro.com/en/abs/alleviation-of-temperature-variation-induced-accuracy-degradation-in-ferroelectric-finfet-based-neural-network-2103.03111</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alleviation-of-temperature-variation-induced-accuracy-degradation-in-ferroelectric-finfet-based-neural-network-2103.03111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alleviation-of-temperature-variation-induced-accuracy-degradation-in-ferroelectric-finfet-based-neural-network-2103.03111"/></url>
<url><loc>https://scifaro.com/en/abs/towards-deepening-graph-neural-networks-a-gntk-based-optimization-perspective-2103.03113</loc><lastmod>2022-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-deepening-graph-neural-networks-a-gntk-based-optimization-perspective-2103.03113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-deepening-graph-neural-networks-a-gntk-based-optimization-perspective-2103.03113"/></url>
<url><loc>https://scifaro.com/en/abs/universal-representation-for-code-2103.03116</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-representation-for-code-2103.03116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-representation-for-code-2103.03116"/></url>
<url><loc>https://scifaro.com/en/abs/robust-optimization-and-validation-of-echo-state-networks-for-learning-chaotic-dynamics-2103.03174</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-optimization-and-validation-of-echo-state-networks-for-learning-chaotic-dynamics-2103.03174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-optimization-and-validation-of-echo-state-networks-for-learning-chaotic-dynamics-2103.03174"/></url>
<url><loc>https://scifaro.com/en/abs/weisfeiler-and-lehman-go-topological-message-passing-simplicial-networks-2103.03212</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weisfeiler-and-lehman-go-topological-message-passing-simplicial-networks-2103.03212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weisfeiler-and-lehman-go-topological-message-passing-simplicial-networks-2103.03212"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-coordination-as-a-realistic-scenario-for-lifelong-learning-2103.03216</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-coordination-as-a-realistic-scenario-for-lifelong-learning-2103.03216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-coordination-as-a-realistic-scenario-for-lifelong-learning-2103.03216"/></url>
<url><loc>https://scifaro.com/en/abs/genoml-automated-machine-learning-for-genomics-2103.03221</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/genoml-automated-machine-learning-for-genomics-2103.03221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/genoml-automated-machine-learning-for-genomics-2103.03221"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-evaluation-of-quantification-methods-2103.03223</loc><lastmod>2025-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-evaluation-of-quantification-methods-2103.03223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-evaluation-of-quantification-methods-2103.03223"/></url>
<url><loc>https://scifaro.com/en/abs/one-for-one-or-all-for-all-equilibria-and-optimality-of-collaboration-in-federated-learning-2103.03228</loc><lastmod>2021-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-for-one-or-all-for-all-equilibria-and-optimality-of-collaboration-in-federated-learning-2103.03228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-for-one-or-all-for-all-equilibria-and-optimality-of-collaboration-in-federated-learning-2103.03228"/></url>
<url><loc>https://scifaro.com/en/abs/of-moments-and-matching-a-game-theoretic-framework-for-closing-the-imitation-gap-2103.03236</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/of-moments-and-matching-a-game-theoretic-framework-for-closing-the-imitation-gap-2103.03236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/of-moments-and-matching-a-game-theoretic-framework-for-closing-the-imitation-gap-2103.03236"/></url>
<url><loc>https://scifaro.com/en/abs/moshpit-sgd-communication-efficient-decentralized-training-on-heterogeneous-unreliable-devices-2103.03239</loc><lastmod>2022-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moshpit-sgd-communication-efficient-decentralized-training-on-heterogeneous-unreliable-devices-2103.03239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moshpit-sgd-communication-efficient-decentralized-training-on-heterogeneous-unreliable-devices-2103.03239"/></url>
<url><loc>https://scifaro.com/en/abs/learning-abcs-approximate-bijective-correspondence-for-isolating-factors-of-variation-with-weak-supervision-2103.03240</loc><lastmod>2022-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-abcs-approximate-bijective-correspondence-for-isolating-factors-of-variation-with-weak-supervision-2103.03240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-abcs-approximate-bijective-correspondence-for-isolating-factors-of-variation-with-weak-supervision-2103.03240"/></url>
<url><loc>https://scifaro.com/en/abs/better-sgd-using-second-order-momentum-2103.03265</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-sgd-using-second-order-momentum-2103.03265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-sgd-using-second-order-momentum-2103.03265"/></url>
<url><loc>https://scifaro.com/en/abs/remember-what-you-want-to-forget-algorithms-for-machine-unlearning-2103.03279</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/remember-what-you-want-to-forget-algorithms-for-machine-unlearning-2103.03279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/remember-what-you-want-to-forget-algorithms-for-machine-unlearning-2103.03279"/></url>
<url><loc>https://scifaro.com/en/abs/claimed-a-visual-and-scalable-component-library-for-trusted-ai-2103.03281</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/claimed-a-visual-and-scalable-component-library-for-trusted-ai-2103.03281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/claimed-a-visual-and-scalable-component-library-for-trusted-ai-2103.03281"/></url>
<url><loc>https://scifaro.com/en/abs/ensembles-of-random-shaps-2103.03302</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensembles-of-random-shaps-2103.03302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensembles-of-random-shaps-2103.03302"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-kidney-transplant-survival-using-multiple-feature-representations-for-hlas-2103.03305</loc><lastmod>2022-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-kidney-transplant-survival-using-multiple-feature-representations-for-hlas-2103.03305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-kidney-transplant-survival-using-multiple-feature-representations-for-hlas-2103.03305"/></url>
<url><loc>https://scifaro.com/en/abs/conservative-optimistic-policy-optimization-via-multiple-importance-sampling-2103.03307</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conservative-optimistic-policy-optimization-via-multiple-importance-sampling-2103.03307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conservative-optimistic-policy-optimization-via-multiple-importance-sampling-2103.03307"/></url>
<url><loc>https://scifaro.com/en/abs/hard-label-manifolds-unexpected-advantages-of-query-efficiency-for-finding-on-manifold-adversarial-examples-2103.03325</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hard-label-manifolds-unexpected-advantages-of-query-efficiency-for-finding-on-manifold-adversarial-examples-2103.03325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hard-label-manifolds-unexpected-advantages-of-query-efficiency-for-finding-on-manifold-adversarial-examples-2103.03325"/></url>
<url><loc>https://scifaro.com/en/abs/large-graph-convolutional-network-training-with-gpu-oriented-data-communication-architecture-2103.03330</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-graph-convolutional-network-training-with-gpu-oriented-data-communication-architecture-2103.03330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-graph-convolutional-network-training-with-gpu-oriented-data-communication-architecture-2103.03330"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-processes-meet-neuralodes-a-bayesian-framework-for-learning-the-dynamics-of-partially-observed-systems-from-scarce-and-noisy-data-2103.03385</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-processes-meet-neuralodes-a-bayesian-framework-for-learning-the-dynamics-of-partially-observed-systems-from-scarce-and-noisy-data-2103.03385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-processes-meet-neuralodes-a-bayesian-framework-for-learning-the-dynamics-of-partially-observed-systems-from-scarce-and-noisy-data-2103.03385"/></url>
<url><loc>https://scifaro.com/en/abs/representation-matters-assessing-the-importance-of-subgroup-allocations-in-training-data-2103.03399</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-matters-assessing-the-importance-of-subgroup-allocations-in-training-data-2103.03399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-matters-assessing-the-importance-of-subgroup-allocations-in-training-data-2103.03399"/></url>
<url><loc>https://scifaro.com/en/abs/attention-is-not-all-you-need-pure-attention-loses-rank-doubly-exponentially-with-depth-2103.03404</loc><lastmod>2023-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-is-not-all-you-need-pure-attention-loses-rank-doubly-exponentially-with-depth-2103.03404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-is-not-all-you-need-pure-attention-loses-rank-doubly-exponentially-with-depth-2103.03404"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-matrix-games-can-be-arbitrarily-complex-2103.03405</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-matrix-games-can-be-arbitrarily-complex-2103.03405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-matrix-games-can-be-arbitrarily-complex-2103.03405"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-schedule-dag-tasks-2103.03412</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-schedule-dag-tasks-2103.03412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-schedule-dag-tasks-2103.03412"/></url>
<url><loc>https://scifaro.com/en/abs/unified-robust-training-for-graph-neuralnetworks-against-label-noise-2103.03414</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-robust-training-for-graph-neuralnetworks-against-label-noise-2103.03414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-robust-training-for-graph-neuralnetworks-against-label-noise-2103.03414"/></url>
<url><loc>https://scifaro.com/en/abs/md-mtl-an-ensemble-med-multi-task-learning-package-for-diseasescores-prediction-and-multi-level-risk-factor-analysis-2103.03436</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/md-mtl-an-ensemble-med-multi-task-learning-package-for-diseasescores-prediction-and-multi-level-risk-factor-analysis-2103.03436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/md-mtl-an-ensemble-med-multi-task-learning-package-for-diseasescores-prediction-and-multi-level-risk-factor-analysis-2103.03436"/></url>
<url><loc>https://scifaro.com/en/abs/deepfreight-integrating-deep-reinforcement-learning-and-mixed-integer-programming-for-multi-transfer-truck-freight-delivery-2103.03450</loc><lastmod>2023-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepfreight-integrating-deep-reinforcement-learning-and-mixed-integer-programming-for-multi-transfer-truck-freight-delivery-2103.03450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepfreight-integrating-deep-reinforcement-learning-and-mixed-integer-programming-for-multi-transfer-truck-freight-delivery-2103.03450"/></url>
<url><loc>https://scifaro.com/en/abs/unintended-effects-on-adaptive-learning-rate-for-training-neural-network-with-output-scale-change-2103.03466</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unintended-effects-on-adaptive-learning-rate-for-training-neural-network-with-output-scale-change-2103.03466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unintended-effects-on-adaptive-learning-rate-for-training-neural-network-with-output-scale-change-2103.03466"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-gaussian-fuzzy-classifier-for-real-time-emotion-recognition-in-computer-games-2103.03488</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-gaussian-fuzzy-classifier-for-real-time-emotion-recognition-in-computer-games-2103.03488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-gaussian-fuzzy-classifier-for-real-time-emotion-recognition-in-computer-games-2103.03488"/></url>
<url><loc>https://scifaro.com/en/abs/stratified-sampling-for-extreme-multi-label-data-2103.03494</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stratified-sampling-for-extreme-multi-label-data-2103.03494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stratified-sampling-for-extreme-multi-label-data-2103.03494"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-based-model-protection-with-secret-key-2103.03525</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-based-model-protection-with-secret-key-2103.03525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-based-model-protection-with-secret-key-2103.03525"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-black-box-population-based-optimizers-2103.03526</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-black-box-population-based-optimizers-2103.03526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-black-box-population-based-optimizers-2103.03526"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-neural-networks-generated-by-low-discrepancy-sequences-2103.03543</loc><lastmod>2023-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-neural-networks-generated-by-low-discrepancy-sequences-2103.03543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-neural-networks-generated-by-low-discrepancy-sequences-2103.03543"/></url>
<url><loc>https://scifaro.com/en/abs/structure-enhanced-meta-learning-for-few-shot-graph-classification-2103.03547</loc><lastmod>2021-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-enhanced-meta-learning-for-few-shot-graph-classification-2103.03547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-enhanced-meta-learning-for-few-shot-graph-classification-2103.03547"/></url>
<url><loc>https://scifaro.com/en/abs/physics-aware-deep-neural-networks-for-surrogate-modeling-of-turbulent-natural-convection-2103.03565</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-aware-deep-neural-networks-for-surrogate-modeling-of-turbulent-natural-convection-2103.03565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-aware-deep-neural-networks-for-surrogate-modeling-of-turbulent-natural-convection-2103.03565"/></url>
<url><loc>https://scifaro.com/en/abs/can-pretext-based-self-supervised-learning-be-boosted-by-downstream-data-a-theoretical-analysis-2103.03568</loc><lastmod>2022-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-pretext-based-self-supervised-learning-be-boosted-by-downstream-data-a-theoretical-analysis-2103.03568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-pretext-based-self-supervised-learning-be-boosted-by-downstream-data-a-theoretical-analysis-2103.03568"/></url>
<url><loc>https://scifaro.com/en/abs/second-order-step-size-tuning-of-sgd-for-non-convex-optimization-2103.03570</loc><lastmod>2022-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/second-order-step-size-tuning-of-sgd-for-non-convex-optimization-2103.03570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/second-order-step-size-tuning-of-sgd-for-non-convex-optimization-2103.03570"/></url>
<url><loc>https://scifaro.com/en/abs/cycle-self-training-for-domain-adaptation-2103.03571</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cycle-self-training-for-domain-adaptation-2103.03571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cycle-self-training-for-domain-adaptation-2103.03571"/></url>
<url><loc>https://scifaro.com/en/abs/extending-contrastive-learning-to-unsupervised-coreset-selection-2103.03574</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extending-contrastive-learning-to-unsupervised-coreset-selection-2103.03574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extending-contrastive-learning-to-unsupervised-coreset-selection-2103.03574"/></url>
<url><loc>https://scifaro.com/en/abs/unbalanced-minibatch-optimal-transport-applications-to-domain-adaptation-2103.03606</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbalanced-minibatch-optimal-transport-applications-to-domain-adaptation-2103.03606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbalanced-minibatch-optimal-transport-applications-to-domain-adaptation-2103.03606"/></url>
<url><loc>https://scifaro.com/en/abs/explanations-for-occluded-images-2103.03622</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explanations-for-occluded-images-2103.03622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explanations-for-occluded-images-2103.03622"/></url>
<url><loc>https://scifaro.com/en/abs/topology-aware-correlations-between-relations-for-inductive-link-prediction-in-knowledge-graphs-2103.03642</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topology-aware-correlations-between-relations-for-inductive-link-prediction-in-knowledge-graphs-2103.03642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topology-aware-correlations-between-relations-for-inductive-link-prediction-in-knowledge-graphs-2103.03642"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-exploration-process-adjustment-for-safe-reinforcement-learning-with-joint-chance-constraint-satisfaction-2103.03656</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-exploration-process-adjustment-for-safe-reinforcement-learning-with-joint-chance-constraint-satisfaction-2103.03656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-exploration-process-adjustment-for-safe-reinforcement-learning-with-joint-chance-constraint-satisfaction-2103.03656"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-the-influence-of-dataset-composition-for-emotion-recognition-2103.03700</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-the-influence-of-dataset-composition-for-emotion-recognition-2103.03700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-the-influence-of-dataset-composition-for-emotion-recognition-2103.03700"/></url>
<url><loc>https://scifaro.com/en/abs/don-t-forget-to-sign-the-gradients-2103.03701</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/don-t-forget-to-sign-the-gradients-2103.03701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/don-t-forget-to-sign-the-gradients-2103.03701"/></url>
<url><loc>https://scifaro.com/en/abs/abstraction-and-symbolic-execution-of-deep-neural-networks-with-bayesian-approximation-of-hidden-features-2103.03704</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abstraction-and-symbolic-execution-of-deep-neural-networks-with-bayesian-approximation-of-hidden-features-2103.03704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abstraction-and-symbolic-execution-of-deep-neural-networks-with-bayesian-approximation-of-hidden-features-2103.03704"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-coding-can-do-exact-backpropagation-on-convolutional-and-recurrent-neural-networks-2103.03725</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-coding-can-do-exact-backpropagation-on-convolutional-and-recurrent-neural-networks-2103.03725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-coding-can-do-exact-backpropagation-on-convolutional-and-recurrent-neural-networks-2103.03725"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-short-term-voltage-stability-assessment-based-on-spatial-temporal-graph-convolutional-network-2103.03729</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-short-term-voltage-stability-assessment-based-on-spatial-temporal-graph-convolutional-network-2103.03729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-short-term-voltage-stability-assessment-based-on-spatial-temporal-graph-convolutional-network-2103.03729"/></url>
<url><loc>https://scifaro.com/en/abs/discrepancy-based-active-learning-for-domain-adaptation-2103.03757</loc><lastmod>2022-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrepancy-based-active-learning-for-domain-adaptation-2103.03757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrepancy-based-active-learning-for-domain-adaptation-2103.03757"/></url>
<url><loc>https://scifaro.com/en/abs/deeply-supervised-unet-for-semantic-segmentation-to-assist-dermatopathological-assessment-of-basal-cell-carcinoma-bcc-2103.03759</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeply-supervised-unet-for-semantic-segmentation-to-assist-dermatopathological-assessment-of-basal-cell-carcinoma-bcc-2103.03759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeply-supervised-unet-for-semantic-segmentation-to-assist-dermatopathological-assessment-of-basal-cell-carcinoma-bcc-2103.03759"/></url>
<url><loc>https://scifaro.com/en/abs/online-graph-learning-under-smoothness-priors-2103.03762</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-graph-learning-under-smoothness-priors-2103.03762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-graph-learning-under-smoothness-priors-2103.03762"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-dynamic-map-fusion-via-federated-learning-for-intelligent-networked-vehicles-2103.03786</loc><lastmod>2022-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-dynamic-map-fusion-via-federated-learning-for-intelligent-networked-vehicles-2103.03786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-dynamic-map-fusion-via-federated-learning-for-intelligent-networked-vehicles-2103.03786"/></url>
<url><loc>https://scifaro.com/en/abs/loss-estimators-improve-model-generalization-2103.03788</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-estimators-improve-model-generalization-2103.03788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-estimators-improve-model-generalization-2103.03788"/></url>
<url><loc>https://scifaro.com/en/abs/palmtree-learning-an-assembly-language-model-for-instruction-embedding-2103.03809</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/palmtree-learning-an-assembly-language-model-for-instruction-embedding-2103.03809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/palmtree-learning-an-assembly-language-model-for-instruction-embedding-2103.03809"/></url>
<url><loc>https://scifaro.com/en/abs/a-pilot-study-on-visually-stimulated-cognitive-tasks-for-eeg-based-dementia-recognition-2103.03854</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pilot-study-on-visually-stimulated-cognitive-tasks-for-eeg-based-dementia-recognition-2103.03854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pilot-study-on-visually-stimulated-cognitive-tasks-for-eeg-based-dementia-recognition-2103.03854"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-extend-molecular-scaffolds-with-structural-motifs-2103.03864</loc><lastmod>2024-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-extend-molecular-scaffolds-with-structural-motifs-2103.03864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-extend-molecular-scaffolds-with-structural-motifs-2103.03864"/></url>
<url><loc>https://scifaro.com/en/abs/rissanen-data-analysis-examining-dataset-characteristics-via-description-length-2103.03872</loc><lastmod>2021-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rissanen-data-analysis-examining-dataset-characteristics-via-description-length-2103.03872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rissanen-data-analysis-examining-dataset-characteristics-via-description-length-2103.03872"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-mathematical-problem-solving-with-the-math-dataset-2103.03874</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-mathematical-problem-solving-with-the-math-dataset-2103.03874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-mathematical-problem-solving-with-the-math-dataset-2103.03874"/></url>
<url><loc>https://scifaro.com/en/abs/set-representation-learning-with-generalized-sliced-wasserstein-embeddings-2103.03892</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/set-representation-learning-with-generalized-sliced-wasserstein-embeddings-2103.03892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/set-representation-learning-with-generalized-sliced-wasserstein-embeddings-2103.03892"/></url>
<url><loc>https://scifaro.com/en/abs/fedv-privacy-preserving-federated-learning-over-vertically-partitioned-data-2103.03918</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedv-privacy-preserving-federated-learning-over-vertically-partitioned-data-2103.03918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedv-privacy-preserving-federated-learning-over-vertically-partitioned-data-2103.03918"/></url>
<url><loc>https://scifaro.com/en/abs/pufferfish-communication-efficient-models-at-no-extra-cost-2103.03936</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pufferfish-communication-efficient-models-at-no-extra-cost-2103.03936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pufferfish-communication-efficient-models-at-no-extra-cost-2103.03936"/></url>
<url><loc>https://scifaro.com/en/abs/nf-gnn-network-flow-graph-neural-networks-for-malware-detection-and-classification-2103.03939</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nf-gnn-network-flow-graph-neural-networks-for-malware-detection-and-classification-2103.03939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nf-gnn-network-flow-graph-neural-networks-for-malware-detection-and-classification-2103.03939"/></url>
<url><loc>https://scifaro.com/en/abs/novelty-detection-in-sequential-data-by-informed-clustering-and-modeling-2103.03943</loc><lastmod>2023-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novelty-detection-in-sequential-data-by-informed-clustering-and-modeling-2103.03943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novelty-detection-in-sequential-data-by-informed-clustering-and-modeling-2103.03943"/></url>
<url><loc>https://scifaro.com/en/abs/scrib-set-classifier-with-class-specific-risk-bounds-for-blackbox-models-2103.03945</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scrib-set-classifier-with-class-specific-risk-bounds-for-blackbox-models-2103.03945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scrib-set-classifier-with-class-specific-risk-bounds-for-blackbox-models-2103.03945"/></url>
<url><loc>https://scifaro.com/en/abs/global-canopy-height-regression-and-uncertainty-estimation-from-gedi-lidar-waveforms-with-deep-ensembles-2103.03975</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-canopy-height-regression-and-uncertainty-estimation-from-gedi-lidar-waveforms-with-deep-ensembles-2103.03975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-canopy-height-regression-and-uncertainty-estimation-from-gedi-lidar-waveforms-with-deep-ensembles-2103.03975"/></url>
<url><loc>https://scifaro.com/en/abs/cam-gan-continual-adaptation-modules-for-generative-adversarial-networks-2103.04032</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cam-gan-continual-adaptation-modules-for-generative-adversarial-networks-2103.04032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cam-gan-continual-adaptation-modules-for-generative-adversarial-networks-2103.04032"/></url>
<url><loc>https://scifaro.com/en/abs/simplicial-complex-representation-learning-2103.04046</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simplicial-complex-representation-learning-2103.04046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simplicial-complex-representation-learning-2103.04046"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-bit-by-bit-2103.04047</loc><lastmod>2023-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-bit-by-bit-2103.04047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-bit-by-bit-2103.04047"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-in-tabnet-model-by-disentangled-representation-for-the-prediction-of-hospital-no-show-2103.04048</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-in-tabnet-model-by-disentangled-representation-for-the-prediction-of-hospital-no-show-2103.04048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-in-tabnet-model-by-disentangled-representation-for-the-prediction-of-hospital-no-show-2103.04048"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-isomap-algorithm-2103.04060</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-isomap-algorithm-2103.04060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-isomap-algorithm-2103.04060"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-laplacian-regularized-low-rank-representation-for-non-uniformly-distributed-data-subspace-clustering-2103.04064</loc><lastmod>2022-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-laplacian-regularized-low-rank-representation-for-non-uniformly-distributed-data-subspace-clustering-2103.04064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-laplacian-regularized-low-rank-representation-for-non-uniformly-distributed-data-subspace-clustering-2103.04064"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-continually-learn-rapidly-from-few-and-noisy-data-2103.04066</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-continually-learn-rapidly-from-few-and-noisy-data-2103.04066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-continually-learn-rapidly-from-few-and-noisy-data-2103.04066"/></url>
<url><loc>https://scifaro.com/en/abs/visual-explanation-using-attention-mechanism-in-actor-critic-based-deep-reinforcement-learning-2103.04067</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-explanation-using-attention-mechanism-in-actor-critic-based-deep-reinforcement-learning-2103.04067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-explanation-using-attention-mechanism-in-actor-critic-based-deep-reinforcement-learning-2103.04067"/></url>
<url><loc>https://scifaro.com/en/abs/linear-regression-over-networks-with-communication-guarantees-2103.04140</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-regression-over-networks-with-communication-guarantees-2103.04140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-regression-over-networks-with-communication-guarantees-2103.04140"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-dropout-an-efficient-sample-dependent-dropout-module-2103.04181</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-dropout-an-efficient-sample-dependent-dropout-module-2103.04181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-dropout-an-efficient-sample-dependent-dropout-module-2103.04181"/></url>
<url><loc>https://scifaro.com/en/abs/the-automatic-quasi-clique-merger-algorithm-aqcm-2103.04186</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-automatic-quasi-clique-merger-algorithm-aqcm-2103.04186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-automatic-quasi-clique-merger-algorithm-aqcm-2103.04186"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-tensor-train-parameterization-of-deep-learning-layers-2103.04217</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-tensor-train-parameterization-of-deep-learning-layers-2103.04217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-tensor-train-parameterization-of-deep-learning-layers-2103.04217"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-approximation-algorithms-for-active-sequential-hypothesis-testing-2103.04250</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-approximation-algorithms-for-active-sequential-hypothesis-testing-2103.04250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-approximation-algorithms-for-active-sequential-hypothesis-testing-2103.04250"/></url>
<url><loc>https://scifaro.com/en/abs/routing-towards-discriminative-power-of-class-capsules-2103.04278</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/routing-towards-discriminative-power-of-class-capsules-2103.04278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/routing-towards-discriminative-power-of-class-capsules-2103.04278"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-adversarial-examples-from-sensitivity-inconsistency-of-spatial-transform-domain-2103.04302</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-adversarial-examples-from-sensitivity-inconsistency-of-spatial-transform-domain-2103.04302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-adversarial-examples-from-sensitivity-inconsistency-of-spatial-transform-domain-2103.04302"/></url>
<url><loc>https://scifaro.com/en/abs/expert-system-gradient-descent-style-training-development-of-a-defensible-artificial-intelligence-technique-2103.04314</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expert-system-gradient-descent-style-training-development-of-a-defensible-artificial-intelligence-technique-2103.04314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expert-system-gradient-descent-style-training-development-of-a-defensible-artificial-intelligence-technique-2103.04314"/></url>
<url><loc>https://scifaro.com/en/abs/implementing-graph-neural-networks-with-tensorflow-keras-2103.04318</loc><lastmod>2023-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementing-graph-neural-networks-with-tensorflow-keras-2103.04318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementing-graph-neural-networks-with-tensorflow-keras-2103.04318"/></url>
<url><loc>https://scifaro.com/en/abs/auto-tuning-of-deep-neural-networks-by-conflicting-layer-removal-2103.04331</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-tuning-of-deep-neural-networks-by-conflicting-layer-removal-2103.04331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-tuning-of-deep-neural-networks-by-conflicting-layer-removal-2103.04331"/></url>
<url><loc>https://scifaro.com/en/abs/graph-force-learning-2103.04344</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-force-learning-2103.04344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-force-learning-2103.04344"/></url>
<url><loc>https://scifaro.com/en/abs/markov-cricket-using-forward-and-inverse-reinforcement-learning-to-model-predict-and-optimize-batting-performance-in-one-day-international-cricket-2103.04349</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-cricket-using-forward-and-inverse-reinforcement-learning-to-model-predict-and-optimize-batting-performance-in-one-day-international-cricket-2103.04349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-cricket-using-forward-and-inverse-reinforcement-learning-to-model-predict-and-optimize-batting-performance-in-one-day-international-cricket-2103.04349"/></url>
<url><loc>https://scifaro.com/en/abs/core-capitalizing-on-rewards-in-bandit-exploration-2103.04387</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/core-capitalizing-on-rewards-in-bandit-exploration-2103.04387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/core-capitalizing-on-rewards-in-bandit-exploration-2103.04387"/></url>
<url><loc>https://scifaro.com/en/abs/the-effect-of-q-function-reuse-on-the-total-regret-of-tabular-model-free-reinforcement-learning-2103.04416</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effect-of-q-function-reuse-on-the-total-regret-of-tabular-model-free-reinforcement-learning-2103.04416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effect-of-q-function-reuse-on-the-total-regret-of-tabular-model-free-reinforcement-learning-2103.04416"/></url>
<url><loc>https://scifaro.com/en/abs/insta-rs-instance-wise-randomized-smoothing-for-improved-robustness-and-accuracy-2103.04436</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/insta-rs-instance-wise-randomized-smoothing-for-improved-robustness-and-accuracy-2103.04436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/insta-rs-instance-wise-randomized-smoothing-for-improved-robustness-and-accuracy-2103.04436"/></url>
<url><loc>https://scifaro.com/en/abs/a-lower-bound-for-the-sample-complexity-of-inverse-reinforcement-learning-2103.04446</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-lower-bound-for-the-sample-complexity-of-inverse-reinforcement-learning-2103.04446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-lower-bound-for-the-sample-complexity-of-inverse-reinforcement-learning-2103.04446"/></url>
<url><loc>https://scifaro.com/en/abs/toward-semi-automatic-misconception-discovery-using-code-embeddings-2103.04448</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-semi-automatic-misconception-discovery-using-code-embeddings-2103.04448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-semi-automatic-misconception-discovery-using-code-embeddings-2103.04448"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-model-performance-estimation-via-feature-histories-2103.04450</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-model-performance-estimation-via-feature-histories-2103.04450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-model-performance-estimation-via-feature-histories-2103.04450"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-graph-tensor-net-for-graph-data-completion-2103.04485</loc><lastmod>2023-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-graph-tensor-net-for-graph-data-completion-2103.04485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-graph-tensor-net-for-graph-data-completion-2103.04485"/></url>
<url><loc>https://scifaro.com/en/abs/an-energy-saving-snake-locomotion-gait-policy-obtained-using-deep-reinforcement-learning-2103.04511</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-energy-saving-snake-locomotion-gait-policy-obtained-using-deep-reinforcement-learning-2103.04511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-energy-saving-snake-locomotion-gait-policy-obtained-using-deep-reinforcement-learning-2103.04511"/></url>
<url><loc>https://scifaro.com/en/abs/nondeterminism-and-instability-in-neural-network-optimization-2103.04514</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nondeterminism-and-instability-in-neural-network-optimization-2103.04514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nondeterminism-and-instability-in-neural-network-optimization-2103.04514"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-online-reward-shaping-in-sparse-reward-environments-2103.04529</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-online-reward-shaping-in-sparse-reward-environments-2103.04529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-online-reward-shaping-in-sparse-reward-environments-2103.04529"/></url>
<url><loc>https://scifaro.com/en/abs/no-weighted-regret-learning-in-adversarial-bandits-with-delays-2103.04550</loc><lastmod>2022-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-weighted-regret-learning-in-adversarial-bandits-with-delays-2103.04550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-weighted-regret-learning-in-adversarial-bandits-with-delays-2103.04550"/></url>
<url><loc>https://scifaro.com/en/abs/behavior-from-the-void-unsupervised-active-pre-training-2103.04551</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/behavior-from-the-void-unsupervised-active-pre-training-2103.04551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/behavior-from-the-void-unsupervised-active-pre-training-2103.04551"/></url>
<url><loc>https://scifaro.com/en/abs/exact-gap-between-generalization-error-and-uniform-convergence-in-random-feature-models-2103.04554</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-gap-between-generalization-error-and-uniform-convergence-in-random-feature-models-2103.04554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-gap-between-generalization-error-and-uniform-convergence-in-random-feature-models-2103.04554"/></url>
<url><loc>https://scifaro.com/en/abs/real-world-ride-hailing-vehicle-repositioning-using-deep-reinforcement-learning-2103.04555</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-world-ride-hailing-vehicle-repositioning-using-deep-reinforcement-learning-2103.04555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-world-ride-hailing-vehicle-repositioning-using-deep-reinforcement-learning-2103.04555"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-regularization-for-adversarial-robustness-2103.04623</loc><lastmod>2021-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-regularization-for-adversarial-robustness-2103.04623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-regularization-for-adversarial-robustness-2103.04623"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-federated-learning-using-hypernetworks-2103.04628</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-federated-learning-using-hypernetworks-2103.04628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-federated-learning-using-hypernetworks-2103.04628"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-based-on-selection-and-weighting-in-latent-space-2103.04662</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-based-on-selection-and-weighting-in-latent-space-2103.04662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-based-on-selection-and-weighting-in-latent-space-2103.04662"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-reinforcement-learning-for-flexible-and-efficient-uav-swarm-control-2103.04666</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-reinforcement-learning-for-flexible-and-efficient-uav-swarm-control-2103.04666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-reinforcement-learning-for-flexible-and-efficient-uav-swarm-control-2103.04666"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graph-neural-networks-with-positive-and-unlabeled-nodes-2103.04683</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graph-neural-networks-with-positive-and-unlabeled-nodes-2103.04683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graph-neural-networks-with-positive-and-unlabeled-nodes-2103.04683"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-perspective-for-positive-unlabeled-learning-via-noisy-labels-2103.04685</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-perspective-for-positive-unlabeled-learning-via-noisy-labels-2103.04685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-perspective-for-positive-unlabeled-learning-via-noisy-labels-2103.04685"/></url>
<url><loc>https://scifaro.com/en/abs/reverse-differentiation-via-predictive-coding-2103.04689</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reverse-differentiation-via-predictive-coding-2103.04689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reverse-differentiation-via-predictive-coding-2103.04689"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-with-maml-on-trees-2103.04691</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-with-maml-on-trees-2103.04691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-with-maml-on-trees-2103.04691"/></url>
<url><loc>https://scifaro.com/en/abs/a-taxonomy-of-similarity-metrics-for-markov-decision-processes-2103.04706</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-taxonomy-of-similarity-metrics-for-markov-decision-processes-2103.04706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-taxonomy-of-similarity-metrics-for-markov-decision-processes-2103.04706"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-based-input-weight-initialization-for-echo-state-networks-2103.04710</loc><lastmod>2022-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-based-input-weight-initialization-for-echo-state-networks-2103.04710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-based-input-weight-initialization-for-echo-state-networks-2103.04710"/></url>
<url><loc>https://scifaro.com/en/abs/vision-based-mobile-robotics-obstacle-avoidance-with-deep-reinforcement-learning-2103.04727</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vision-based-mobile-robotics-obstacle-avoidance-with-deep-reinforcement-learning-2103.04727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vision-based-mobile-robotics-obstacle-avoidance-with-deep-reinforcement-learning-2103.04727"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-algorithms-for-finite-horizon-and-streaming-restless-multi-armed-bandit-problems-2103.04730</loc><lastmod>2022-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-algorithms-for-finite-horizon-and-streaming-restless-multi-armed-bandit-problems-2103.04730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-algorithms-for-finite-horizon-and-streaming-restless-multi-armed-bandit-problems-2103.04730"/></url>
<url><loc>https://scifaro.com/en/abs/applicability-and-surrogacy-of-uncorrelated-airspace-encounter-models-at-low-altitudes-2103.04753</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applicability-and-surrogacy-of-uncorrelated-airspace-encounter-models-at-low-altitudes-2103.04753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applicability-and-surrogacy-of-uncorrelated-airspace-encounter-models-at-low-altitudes-2103.04753"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-based-quantization-for-network-automation-2103.04764</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-based-quantization-for-network-automation-2103.04764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-based-quantization-for-network-automation-2103.04764"/></url>
<url><loc>https://scifaro.com/en/abs/helicopter-track-identification-with-autoencoder-2103.04768</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/helicopter-track-identification-with-autoencoder-2103.04768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/helicopter-track-identification-with-autoencoder-2103.04768"/></url>
<url><loc>https://scifaro.com/en/abs/a-dual-memory-architecture-for-reinforcement-learning-on-neuromorphic-platforms-2103.04780</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dual-memory-architecture-for-reinforcement-learning-on-neuromorphic-platforms-2103.04780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dual-memory-architecture-for-reinforcement-learning-on-neuromorphic-platforms-2103.04780"/></url>
<url><loc>https://scifaro.com/en/abs/district-wise-price-forecasting-of-wheat-in-pakistan-using-deep-learning-2103.04781</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/district-wise-price-forecasting-of-wheat-in-pakistan-using-deep-learning-2103.04781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/district-wise-price-forecasting-of-wheat-in-pakistan-using-deep-learning-2103.04781"/></url>
<url><loc>https://scifaro.com/en/abs/pyrcn-a-toolbox-for-exploration-and-application-of-reservoir-computing-networks-2103.04807</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pyrcn-a-toolbox-for-exploration-and-application-of-reservoir-computing-networks-2103.04807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pyrcn-a-toolbox-for-exploration-and-application-of-reservoir-computing-networks-2103.04807"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-reinforcement-learning-for-procedural-content-generation-2103.04847</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-reinforcement-learning-for-procedural-content-generation-2103.04847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-reinforcement-learning-for-procedural-content-generation-2103.04847"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-ignorance-in-individual-level-causal-effect-estimates-under-hidden-confounding-2103.04850</loc><lastmod>2022-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-ignorance-in-individual-level-causal-effect-estimates-under-hidden-confounding-2103.04850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-ignorance-in-individual-level-causal-effect-estimates-under-hidden-confounding-2103.04850"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-comparison-between-autoencoders-and-traditional-dimensionality-reduction-methods-2103.04874</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-comparison-between-autoencoders-and-traditional-dimensionality-reduction-methods-2103.04874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-comparison-between-autoencoders-and-traditional-dimensionality-reduction-methods-2103.04874"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitz-normalization-for-self-attention-layers-with-application-to-graph-neural-networks-2103.04886</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitz-normalization-for-self-attention-layers-with-application-to-graph-neural-networks-2103.04886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitz-normalization-for-self-attention-layers-with-application-to-graph-neural-networks-2103.04886"/></url>
<url><loc>https://scifaro.com/en/abs/latent-imagination-facilitates-zero-shot-transfer-in-autonomous-racing-2103.04909</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-imagination-facilitates-zero-shot-transfer-in-autonomous-racing-2103.04909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-imagination-facilitates-zero-shot-transfer-in-autonomous-racing-2103.04909"/></url>
<url><loc>https://scifaro.com/en/abs/a-crash-course-on-reinforcement-learning-2103.04910</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-crash-course-on-reinforcement-learning-2103.04910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-crash-course-on-reinforcement-learning-2103.04910"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-modelling-a-comparative-review-of-vaes-gans-normalizing-flows-energy-based-and-autoregressive-models-2103.04922</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-modelling-a-comparative-review-of-vaes-gans-normalizing-flows-energy-based-and-autoregressive-models-2103.04922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-modelling-a-comparative-review-of-vaes-gans-normalizing-flows-energy-based-and-autoregressive-models-2103.04922"/></url>
<url><loc>https://scifaro.com/en/abs/instabilities-of-offline-rl-with-pre-trained-neural-representation-2103.04947</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instabilities-of-offline-rl-with-pre-trained-neural-representation-2103.04947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instabilities-of-offline-rl-with-pre-trained-neural-representation-2103.04947"/></url>
<url><loc>https://scifaro.com/en/abs/digital-beamforming-robust-to-time-varying-carrier-frequency-offset-2103.04948</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/digital-beamforming-robust-to-time-varying-carrier-frequency-offset-2103.04948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/digital-beamforming-robust-to-time-varying-carrier-frequency-offset-2103.04948"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-approach-to-explainable-artificial-intelligence-methods-in-application-to-high-dimensional-electronic-health-records-examining-the-usability-of-xai-2103.04951</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-approach-to-explainable-artificial-intelligence-methods-in-application-to-high-dimensional-electronic-health-records-examining-the-usability-of-xai-2103.04951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-approach-to-explainable-artificial-intelligence-methods-in-application-to-high-dimensional-electronic-health-records-examining-the-usability-of-xai-2103.04951"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-cause-detection-of-performance-problems-in-web-applications-2103.04954</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-cause-detection-of-performance-problems-in-web-applications-2103.04954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-cause-detection-of-performance-problems-in-web-applications-2103.04954"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-represent-and-predict-sets-with-deep-neural-networks-2103.04957</loc><lastmod>2021-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-represent-and-predict-sets-with-deep-neural-networks-2103.04957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-represent-and-predict-sets-with-deep-neural-networks-2103.04957"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-cooperative-multi-agent-reinforcement-learning-with-function-approximation-2103.04972</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-cooperative-multi-agent-reinforcement-learning-with-function-approximation-2103.04972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-cooperative-multi-agent-reinforcement-learning-with-function-approximation-2103.04972"/></url>
<url><loc>https://scifaro.com/en/abs/self-learning-machines-based-on-hamiltonian-echo-backpropagation-2103.04992</loc><lastmod>2023-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-learning-machines-based-on-hamiltonian-echo-backpropagation-2103.04992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-learning-machines-based-on-hamiltonian-echo-backpropagation-2103.04992"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-and-accuracy-trade-offs-in-federated-learning-and-meta-learning-2103.05032</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-and-accuracy-trade-offs-in-federated-learning-and-meta-learning-2103.05032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-and-accuracy-trade-offs-in-federated-learning-and-meta-learning-2103.05032"/></url>
<url><loc>https://scifaro.com/en/abs/size-invariant-graph-representations-for-graph-classification-extrapolations-2103.05045</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/size-invariant-graph-representations-for-graph-classification-extrapolations-2103.05045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/size-invariant-graph-representations-for-graph-classification-extrapolations-2103.05045"/></url>
<url><loc>https://scifaro.com/en/abs/domain-robust-visual-imitation-learning-with-mutual-information-constraints-2103.05079</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-robust-visual-imitation-learning-with-mutual-information-constraints-2103.05079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-robust-visual-imitation-learning-with-mutual-information-constraints-2103.05079"/></url>
<url><loc>https://scifaro.com/en/abs/deep-transfer-learning-for-wifi-localization-2103.05123</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-transfer-learning-for-wifi-localization-2103.05123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-transfer-learning-for-wifi-localization-2103.05123"/></url>
<url><loc>https://scifaro.com/en/abs/classification-and-feature-transformation-with-fuzzy-cognitive-maps-2103.05124</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-and-feature-transformation-with-fuzzy-cognitive-maps-2103.05124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-and-feature-transformation-with-fuzzy-cognitive-maps-2103.05124"/></url>
<url><loc>https://scifaro.com/en/abs/model-complexity-of-deep-learning-a-survey-2103.05127</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-complexity-of-deep-learning-a-survey-2103.05127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-complexity-of-deep-learning-a-survey-2103.05127"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-learning-with-non-convex-losses-2103.05134</loc><lastmod>2022-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-learning-with-non-convex-losses-2103.05134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-learning-with-non-convex-losses-2103.05134"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-policy-learning-with-reward-gradients-2103.05147</loc><lastmod>2023-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-policy-learning-with-reward-gradients-2103.05147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-policy-learning-with-reward-gradients-2103.05147"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-play-soccer-from-scratch-sample-efficient-emergent-coordination-through-curriculum-learning-and-competition-2103.05174</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-play-soccer-from-scratch-sample-efficient-emergent-coordination-through-curriculum-learning-and-competition-2103.05174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-play-soccer-from-scratch-sample-efficient-emergent-coordination-through-curriculum-learning-and-competition-2103.05174"/></url>
<url><loc>https://scifaro.com/en/abs/an-introduction-to-deep-generative-modeling-2103.05180</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-introduction-to-deep-generative-modeling-2103.05180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-introduction-to-deep-generative-modeling-2103.05180"/></url>
<url><loc>https://scifaro.com/en/abs/a-learning-based-computational-impact-time-guidance-2103.05196</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-learning-based-computational-impact-time-guidance-2103.05196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-learning-based-computational-impact-time-guidance-2103.05196"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-pricing-and-learning-under-the-bass-model-2103.05199</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-pricing-and-learning-under-the-bass-model-2103.05199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-pricing-and-learning-under-the-bass-model-2103.05199"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-generalization-power-of-overfitted-two-layer-neural-tangent-kernel-models-2103.05243</loc><lastmod>2023-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-generalization-power-of-overfitted-two-layer-neural-tangent-kernel-models-2103.05243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-generalization-power-of-overfitted-two-layer-neural-tangent-kernel-models-2103.05243"/></url>
<url><loc>https://scifaro.com/en/abs/pretrained-transformers-as-universal-computation-engines-2103.05247</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pretrained-transformers-as-universal-computation-engines-2103.05247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pretrained-transformers-as-universal-computation-engines-2103.05247"/></url>
<url><loc>https://scifaro.com/en/abs/practical-relative-order-attack-in-deep-ranking-2103.05248</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-relative-order-attack-in-deep-ranking-2103.05248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-relative-order-attack-in-deep-ranking-2103.05248"/></url>
<url><loc>https://scifaro.com/en/abs/memory-efficient-limb-position-aware-hand-gesture-recognition-using-hyperdimensional-computing-2103.05267</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-efficient-limb-position-aware-hand-gesture-recognition-using-hyperdimensional-computing-2103.05267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-efficient-limb-position-aware-hand-gesture-recognition-using-hyperdimensional-computing-2103.05267"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-approach-for-non-stationary-linear-bandits-2103.05324</loc><lastmod>2021-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-approach-for-non-stationary-linear-bandits-2103.05324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-approach-for-non-stationary-linear-bandits-2103.05324"/></url>
<url><loc>https://scifaro.com/en/abs/cnnatt-deep-eeg-fnirs-real-time-decoding-of-bimanual-forces-2103.05334</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cnnatt-deep-eeg-fnirs-real-time-decoding-of-bimanual-forces-2103.05334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cnnatt-deep-eeg-fnirs-real-time-decoding-of-bimanual-forces-2103.05334"/></url>
<url><loc>https://scifaro.com/en/abs/a-mask-r-cnn-approach-to-counting-bacterial-colony-forming-units-in-pharmaceutical-development-2103.05337</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mask-r-cnn-approach-to-counting-bacterial-colony-forming-units-in-pharmaceutical-development-2103.05337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mask-r-cnn-approach-to-counting-bacterial-colony-forming-units-in-pharmaceutical-development-2103.05337"/></url>
<url><loc>https://scifaro.com/en/abs/hemcnn-deep-learning-enables-decoding-of-fnirs-cortical-signals-in-hand-grip-motor-tasks-2103.05338</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hemcnn-deep-learning-enables-decoding-of-fnirs-cortical-signals-in-hand-grip-motor-tasks-2103.05338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hemcnn-deep-learning-enables-decoding-of-fnirs-cortical-signals-in-hand-grip-motor-tasks-2103.05338"/></url>
<url><loc>https://scifaro.com/en/abs/inter-subject-deep-transfer-learning-for-motor-imagery-eeg-decoding-2103.05351</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inter-subject-deep-transfer-learning-for-motor-imagery-eeg-decoding-2103.05351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inter-subject-deep-transfer-learning-for-motor-imagery-eeg-decoding-2103.05351"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-fusion-using-sparse-cca-for-breast-cancer-survival-prediction-2103.05432</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-fusion-using-sparse-cca-for-breast-cancer-survival-prediction-2103.05432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-fusion-using-sparse-cca-for-breast-cancer-survival-prediction-2103.05432"/></url>
<url><loc>https://scifaro.com/en/abs/analytically-tractable-inference-in-deep-neural-networks-2103.05461</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analytically-tractable-inference-in-deep-neural-networks-2103.05461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analytically-tractable-inference-in-deep-neural-networks-2103.05461"/></url>
<url><loc>https://scifaro.com/en/abs/generating-reliable-process-event-streams-and-time-series-data-based-on-neural-networks-2103.05462</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-reliable-process-event-streams-and-time-series-data-based-on-neural-networks-2103.05462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-reliable-process-event-streams-and-time-series-data-based-on-neural-networks-2103.05462"/></url>
<url><loc>https://scifaro.com/en/abs/unicornn-a-recurrent-model-for-learning-very-long-time-dependencies-2103.05487</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unicornn-a-recurrent-model-for-learning-very-long-time-dependencies-2103.05487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unicornn-a-recurrent-model-for-learning-very-long-time-dependencies-2103.05487"/></url>
<url><loc>https://scifaro.com/en/abs/symbolic-integration-by-integrating-learning-models-with-different-strengths-and-weaknesses-2103.05497</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symbolic-integration-by-integrating-learning-models-with-different-strengths-and-weaknesses-2103.05497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symbolic-integration-by-integrating-learning-models-with-different-strengths-and-weaknesses-2103.05497"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-interplay-between-data-structure-and-loss-function-in-classification-problems-2103.05524</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-interplay-between-data-structure-and-loss-function-in-classification-problems-2103.05524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-interplay-between-data-structure-and-loss-function-in-classification-problems-2103.05524"/></url>
<url><loc>https://scifaro.com/en/abs/hls4ml-an-open-source-codesign-workflow-to-empower-scientific-low-power-machine-learning-devices-2103.05579</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hls4ml-an-open-source-codesign-workflow-to-empower-scientific-low-power-machine-learning-devices-2103.05579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hls4ml-an-open-source-codesign-workflow-to-empower-scientific-low-power-machine-learning-devices-2103.05579"/></url>
<url><loc>https://scifaro.com/en/abs/a-discriminative-vectorial-framework-for-multi-modal-feature-representation-2103.05597</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-discriminative-vectorial-framework-for-multi-modal-feature-representation-2103.05597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-discriminative-vectorial-framework-for-multi-modal-feature-representation-2103.05597"/></url>
<url><loc>https://scifaro.com/en/abs/dory-overcoming-barriers-to-computing-persistent-homology-2103.05608</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dory-overcoming-barriers-to-computing-persistent-homology-2103.05608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dory-overcoming-barriers-to-computing-persistent-homology-2103.05608"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-function-bases-and-convolutional-neural-networks-2103.05609</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-function-bases-and-convolutional-neural-networks-2103.05609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-function-bases-and-convolutional-neural-networks-2103.05609"/></url>
<url><loc>https://scifaro.com/en/abs/challenges-for-reinforcement-learning-in-healthcare-2103.05612</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-for-reinforcement-learning-in-healthcare-2103.05612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-for-reinforcement-learning-in-healthcare-2103.05612"/></url>
<url><loc>https://scifaro.com/en/abs/the-common-intuition-to-transfer-learning-can-win-or-lose-case-studies-for-linear-regression-2103.05621</loc><lastmod>2024-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-common-intuition-to-transfer-learning-can-win-or-lose-case-studies-for-linear-regression-2103.05621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-common-intuition-to-transfer-learning-can-win-or-lose-case-studies-for-linear-regression-2103.05621"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-prediction-of-general-hamiltonian-dynamics-via-learning-exactly-symplectic-maps-2103.05632</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-prediction-of-general-hamiltonian-dynamics-via-learning-exactly-symplectic-maps-2103.05632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-prediction-of-general-hamiltonian-dynamics-via-learning-exactly-symplectic-maps-2103.05632"/></url>
<url><loc>https://scifaro.com/en/abs/proof-of-learning-definitions-and-practice-2103.05633</loc><lastmod>2021-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proof-of-learning-definitions-and-practice-2103.05633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proof-of-learning-definitions-and-practice-2103.05633"/></url>
<url><loc>https://scifaro.com/en/abs/a-gradient-estimator-for-time-varying-electrical-networks-with-non-linear-dissipation-2103.05636</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gradient-estimator-for-time-varying-electrical-networks-with-non-linear-dissipation-2103.05636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gradient-estimator-for-time-varying-electrical-networks-with-non-linear-dissipation-2103.05636"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-nystr-omformer-approximation-of-self-attention-by-spectral-shifting-2103.05638</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-nystr-omformer-approximation-of-self-attention-by-spectral-shifting-2103.05638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-nystr-omformer-approximation-of-self-attention-by-spectral-shifting-2103.05638"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-dimensionality-reduction-results-using-shapley-values-2103.05678</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-dimensionality-reduction-results-using-shapley-values-2103.05678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-dimensionality-reduction-results-using-shapley-values-2103.05678"/></url>
<url><loc>https://scifaro.com/en/abs/towards-action-model-learning-for-player-modeling-2103.05682</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-action-model-learning-for-player-modeling-2103.05682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-action-model-learning-for-player-modeling-2103.05682"/></url>
<url><loc>https://scifaro.com/en/abs/the-ai-arena-a-framework-for-distributed-multi-agent-reinforcement-learning-2103.05737</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-ai-arena-a-framework-for-distributed-multi-agent-reinforcement-learning-2103.05737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-ai-arena-a-framework-for-distributed-multi-agent-reinforcement-learning-2103.05737"/></url>
<url><loc>https://scifaro.com/en/abs/non-asymptotic-confidence-intervals-of-off-policy-evaluation-primal-and-dual-bounds-2103.05741</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-asymptotic-confidence-intervals-of-off-policy-evaluation-primal-and-dual-bounds-2103.05741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-asymptotic-confidence-intervals-of-off-policy-evaluation-primal-and-dual-bounds-2103.05741"/></url>
<url><loc>https://scifaro.com/en/abs/regret-bounds-for-generalized-linear-bandits-under-parameter-drift-2103.05750</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-bounds-for-generalized-linear-bandits-under-parameter-drift-2103.05750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-bounds-for-generalized-linear-bandits-under-parameter-drift-2103.05750"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-online-recurrent-learning-using-columnar-neural-networks-2103.05787</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-online-recurrent-learning-using-columnar-neural-networks-2103.05787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-online-recurrent-learning-using-columnar-neural-networks-2103.05787"/></url>
<url><loc>https://scifaro.com/en/abs/universal-approximation-of-residual-flows-in-maximum-mean-discrepancy-2103.05793</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-approximation-of-residual-flows-in-maximum-mean-discrepancy-2103.05793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-approximation-of-residual-flows-in-maximum-mean-discrepancy-2103.05793"/></url>
<url><loc>https://scifaro.com/en/abs/reframing-neural-networks-deep-structure-in-overcomplete-representations-2103.05804</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reframing-neural-networks-deep-structure-in-overcomplete-representations-2103.05804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reframing-neural-networks-deep-structure-in-overcomplete-representations-2103.05804"/></url>
<url><loc>https://scifaro.com/en/abs/biked-a-dataset-for-computational-bicycle-design-with-machine-learning-benchmarks-2103.05844</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biked-a-dataset-for-computational-bicycle-design-with-machine-learning-benchmarks-2103.05844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biked-a-dataset-for-computational-bicycle-design-with-machine-learning-benchmarks-2103.05844"/></url>
<url><loc>https://scifaro.com/en/abs/multicalibrated-partitions-for-importance-weights-2103.05853</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multicalibrated-partitions-for-importance-weights-2103.05853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multicalibrated-partitions-for-importance-weights-2103.05853"/></url>
<url><loc>https://scifaro.com/en/abs/fast-block-coordinate-frank-wolfe-algorithm-for-semi-relaxed-optimal-transport-2103.05857</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-block-coordinate-frank-wolfe-algorithm-for-semi-relaxed-optimal-transport-2103.05857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-block-coordinate-frank-wolfe-algorithm-for-semi-relaxed-optimal-transport-2103.05857"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-methods-for-efficient-training-of-graph-convolutional-networks-a-survey-2103.05872</loc><lastmod>2021-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-methods-for-efficient-training-of-graph-convolutional-networks-a-survey-2103.05872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-methods-for-efficient-training-of-graph-convolutional-networks-a-survey-2103.05872"/></url>
<url><loc>https://scifaro.com/en/abs/wfa-irl-inverse-reinforcement-learning-of-autonomous-behaviors-encoded-as-weighted-finite-automata-2103.05895</loc><lastmod>2022-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wfa-irl-inverse-reinforcement-learning-of-autonomous-behaviors-encoded-as-weighted-finite-automata-2103.05895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wfa-irl-inverse-reinforcement-learning-of-autonomous-behaviors-encoded-as-weighted-finite-automata-2103.05895"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-linear-system-identification-with-reverse-experience-replay-2103.05896</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-linear-system-identification-with-reverse-experience-replay-2103.05896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-linear-system-identification-with-reverse-experience-replay-2103.05896"/></url>
<url><loc>https://scifaro.com/en/abs/linear-bandits-on-uniformly-convex-sets-2103.05907</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-bandits-on-uniformly-convex-sets-2103.05907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-bandits-on-uniformly-convex-sets-2103.05907"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-imperfect-demonstrations-from-agents-with-varying-dynamics-2103.05910</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-imperfect-demonstrations-from-agents-with-varying-dynamics-2103.05910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-imperfect-demonstrations-from-agents-with-varying-dynamics-2103.05910"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-and-refinement-of-surprise-adequacy-2103.05939</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-and-refinement-of-surprise-adequacy-2103.05939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-and-refinement-of-surprise-adequacy-2103.05939"/></url>
<url><loc>https://scifaro.com/en/abs/full-gradient-dqn-reinforcement-learning-a-provably-convergent-scheme-2103.05981</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/full-gradient-dqn-reinforcement-learning-a-provably-convergent-scheme-2103.05981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/full-gradient-dqn-reinforcement-learning-a-provably-convergent-scheme-2103.05981"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-to-pruning-predicts-generalization-in-deep-neural-networks-2103.06002</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-to-pruning-predicts-generalization-in-deep-neural-networks-2103.06002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-to-pruning-predicts-generalization-in-deep-neural-networks-2103.06002"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-methods-for-screening-patients-s-icd-implantation-eligibility-2103.06021</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-methods-for-screening-patients-s-icd-implantation-eligibility-2103.06021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-methods-for-screening-patients-s-icd-implantation-eligibility-2103.06021"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-inspired-by-classical-iterative-algorithms-2103.06064</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-inspired-by-classical-iterative-algorithms-2103.06064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-inspired-by-classical-iterative-algorithms-2103.06064"/></url>
<url><loc>https://scifaro.com/en/abs/variable-rate-discrete-representation-learning-2103.06089</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-rate-discrete-representation-learning-2103.06089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-rate-discrete-representation-learning-2103.06089"/></url>
<url><loc>https://scifaro.com/en/abs/symmetry-meets-ai-2103.06115</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetry-meets-ai-2103.06115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetry-meets-ai-2103.06115"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-generate-music-with-sentiment-2103.06125</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-generate-music-with-sentiment-2103.06125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-generate-music-with-sentiment-2103.06125"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-temporal-tensor-graph-convolutional-network-for-traffic-prediction-2103.06126</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-temporal-tensor-graph-convolutional-network-for-traffic-prediction-2103.06126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-temporal-tensor-graph-convolutional-network-for-traffic-prediction-2103.06126"/></url>
<url><loc>https://scifaro.com/en/abs/mixmo-mixing-multiple-inputs-for-multiple-outputs-via-deep-subnetworks-2103.06132</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixmo-mixing-multiple-inputs-for-multiple-outputs-via-deep-subnetworks-2103.06132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixmo-mixing-multiple-inputs-for-multiple-outputs-via-deep-subnetworks-2103.06132"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-on-the-ground-applying-algorithmic-fairness-approaches-to-production-systems-2103.06172</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-on-the-ground-applying-algorithmic-fairness-approaches-to-production-systems-2103.06172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-on-the-ground-applying-algorithmic-fairness-approaches-to-production-systems-2103.06172"/></url>
<url><loc>https://scifaro.com/en/abs/piecewise-linear-regression-and-classification-2103.06189</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/piecewise-linear-regression-and-classification-2103.06189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/piecewise-linear-regression-and-classification-2103.06189"/></url>
<url><loc>https://scifaro.com/en/abs/why-flatness-does-and-does-not-correlate-with-generalization-for-deep-neural-networks-2103.06219</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-flatness-does-and-does-not-correlate-with-generalization-for-deep-neural-networks-2103.06219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-flatness-does-and-does-not-correlate-with-generalization-for-deep-neural-networks-2103.06219"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-theoretic-perspective-on-credit-assignment-in-reinforcement-learning-2103.06224</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-theoretic-perspective-on-credit-assignment-in-reinforcement-learning-2103.06224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-theoretic-perspective-on-credit-assignment-in-reinforcement-learning-2103.06224"/></url>
<url><loc>https://scifaro.com/en/abs/range-gan-range-constrained-generative-adversarial-network-for-conditioned-design-synthesis-2103.06230</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/range-gan-range-constrained-generative-adversarial-network-for-conditioned-design-synthesis-2103.06230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/range-gan-range-constrained-generative-adversarial-network-for-conditioned-design-synthesis-2103.06230"/></url>
<url><loc>https://scifaro.com/en/abs/quantization-guided-training-for-compact-tinyml-models-2103.06231</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantization-guided-training-for-compact-tinyml-models-2103.06231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantization-guided-training-for-compact-tinyml-models-2103.06231"/></url>
<url><loc>https://scifaro.com/en/abs/creativegan-editing-generative-adversarial-networks-for-creative-design-synthesis-2103.06242</loc><lastmod>2021-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/creativegan-editing-generative-adversarial-networks-for-creative-design-synthesis-2103.06242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/creativegan-editing-generative-adversarial-networks-for-creative-design-synthesis-2103.06242"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-machine-learning-moving-from-mythos-to-diagnostics-2103.06254</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-machine-learning-moving-from-mythos-to-diagnostics-2103.06254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-machine-learning-moving-from-mythos-to-diagnostics-2103.06254"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-entropy-rl-provably-solves-some-robust-rl-problems-2103.06257</loc><lastmod>2022-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-entropy-rl-provably-solves-some-robust-rl-problems-2103.06257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-entropy-rl-provably-solves-some-robust-rl-problems-2103.06257"/></url>
<url><loc>https://scifaro.com/en/abs/semi-discrete-optimal-transport-hardness-regularization-and-numerical-solution-2103.06263</loc><lastmod>2022-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-discrete-optimal-transport-hardness-regularization-and-numerical-solution-2103.06263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-discrete-optimal-transport-hardness-regularization-and-numerical-solution-2103.06263"/></url>
<url><loc>https://scifaro.com/en/abs/s4rl-surprisingly-simple-self-supervision-for-offline-reinforcement-learning-2103.06326</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/s4rl-surprisingly-simple-self-supervision-for-offline-reinforcement-learning-2103.06326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/s4rl-surprisingly-simple-self-supervision-for-offline-reinforcement-learning-2103.06326"/></url>
<url><loc>https://scifaro.com/en/abs/hot-vae-learning-high-order-label-correlation-for-multi-label-classification-via-attention-based-variational-autoencoders-2103.06375</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hot-vae-learning-high-order-label-correlation-for-multi-label-classification-via-attention-based-variational-autoencoders-2103.06375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hot-vae-learning-high-order-label-correlation-for-multi-label-classification-via-attention-based-variational-autoencoders-2103.06375"/></url>
<url><loc>https://scifaro.com/en/abs/a-local-similarity-preserving-framework-for-nonlinear-dimensionality-reduction-with-neural-networks-2103.06383</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-local-similarity-preserving-framework-for-nonlinear-dimensionality-reduction-with-neural-networks-2103.06383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-local-similarity-preserving-framework-for-nonlinear-dimensionality-reduction-with-neural-networks-2103.06383"/></url>
<url><loc>https://scifaro.com/en/abs/improving-context-based-meta-reinforcement-learning-with-self-supervised-trajectory-contrastive-learning-2103.06386</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-context-based-meta-reinforcement-learning-with-self-supervised-trajectory-contrastive-learning-2103.06386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-context-based-meta-reinforcement-learning-with-self-supervised-trajectory-contrastive-learning-2103.06386"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-the-hidden-activations-of-deep-policy-networks-why-representation-matters-2103.06398</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-the-hidden-activations-of-deep-policy-networks-why-representation-matters-2103.06398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-the-hidden-activations-of-deep-policy-networks-why-representation-matters-2103.06398"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-principal-subspace-analysis-for-partitioned-big-data-algorithms-analysis-and-implementation-2103.06406</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-principal-subspace-analysis-for-partitioned-big-data-algorithms-analysis-and-implementation-2103.06406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-principal-subspace-analysis-for-partitioned-big-data-algorithms-analysis-and-implementation-2103.06406"/></url>
<url><loc>https://scifaro.com/en/abs/recent-advances-on-neural-network-pruning-at-initialization-2103.06460</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recent-advances-on-neural-network-pruning-at-initialization-2103.06460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recent-advances-on-neural-network-pruning-at-initialization-2103.06460"/></url>
<url><loc>https://scifaro.com/en/abs/generalizable-episodic-memory-for-deep-reinforcement-learning-2103.06469</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizable-episodic-memory-for-deep-reinforcement-learning-2103.06469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizable-episodic-memory-for-deep-reinforcement-learning-2103.06469"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-federated-reinforcement-learning-with-adversaries-2103.06473</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-federated-reinforcement-learning-with-adversaries-2103.06473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-federated-reinforcement-learning-with-adversaries-2103.06473"/></url>
<url><loc>https://scifaro.com/en/abs/fair-mixup-fairness-via-interpolation-2103.06503</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-mixup-fairness-via-interpolation-2103.06503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-mixup-fairness-via-interpolation-2103.06503"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-laser-beam-effective-physical-world-attack-to-dnns-in-a-blink-2103.06504</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-laser-beam-effective-physical-world-attack-to-dnns-in-a-blink-2103.06504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-laser-beam-effective-physical-world-attack-to-dnns-in-a-blink-2103.06504"/></url>
<url><loc>https://scifaro.com/en/abs/data-collection-and-utilization-framework-for-edge-ai-applications-2103.06518</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-collection-and-utilization-framework-for-edge-ai-applications-2103.06518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-collection-and-utilization-framework-for-edge-ai-applications-2103.06518"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-energy-regularization-of-neural-ordinary-differential-equation-control-2103.06525</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-energy-regularization-of-neural-ordinary-differential-equation-control-2103.06525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-energy-regularization-of-neural-ordinary-differential-equation-control-2103.06525"/></url>
<url><loc>https://scifaro.com/en/abs/causal-learner-a-toolbox-for-causal-structure-and-markov-blanket-learning-2103.06544</loc><lastmod>2025-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-learner-a-toolbox-for-causal-structure-and-markov-blanket-learning-2103.06544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-learner-a-toolbox-for-causal-structure-and-markov-blanket-learning-2103.06544"/></url>
<url><loc>https://scifaro.com/en/abs/a-quadratic-actor-network-for-model-free-reinforcement-learning-2103.06617</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-quadratic-actor-network-for-model-free-reinforcement-learning-2103.06617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-quadratic-actor-network-for-model-free-reinforcement-learning-2103.06617"/></url>
<url><loc>https://scifaro.com/en/abs/beta-crown-efficient-bound-propagation-with-per-neuron-split-constraints-for-complete-and-incomplete-neural-network-robustness-verification-2103.06624</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beta-crown-efficient-bound-propagation-with-per-neuron-split-constraints-for-complete-and-incomplete-neural-network-robustness-verification-2103.06624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beta-crown-efficient-bound-propagation-with-per-neuron-split-constraints-for-complete-and-incomplete-neural-network-robustness-verification-2103.06624"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-query-release-through-adaptive-projection-2103.06641</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-query-release-through-adaptive-projection-2103.06641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-query-release-through-adaptive-projection-2103.06641"/></url>
<url><loc>https://scifaro.com/en/abs/inference-for-generative-capsule-models-2103.06676</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-for-generative-capsule-models-2103.06676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-for-generative-capsule-models-2103.06676"/></url>
<url><loc>https://scifaro.com/en/abs/lstms-and-deep-residual-networks-for-carbohydrate-and-bolus-recommendations-in-type-1-diabetes-management-2103.06708</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lstms-and-deep-residual-networks-for-carbohydrate-and-bolus-recommendations-in-type-1-diabetes-management-2103.06708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lstms-and-deep-residual-networks-for-carbohydrate-and-bolus-recommendations-in-type-1-diabetes-management-2103.06708"/></url>
<url><loc>https://scifaro.com/en/abs/hypervector-design-for-efficient-hyperdimensional-computing-on-edge-devices-2103.06709</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypervector-design-for-efficient-hyperdimensional-computing-on-edge-devices-2103.06709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypervector-design-for-efficient-hyperdimensional-computing-on-edge-devices-2103.06709"/></url>
<url><loc>https://scifaro.com/en/abs/deep-transfer-learning-for-infectious-disease-case-detection-using-electronic-medical-records-2103.06710</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-transfer-learning-for-infectious-disease-case-detection-using-electronic-medical-records-2103.06710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-transfer-learning-for-infectious-disease-case-detection-using-electronic-medical-records-2103.06710"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-physics-and-deep-learning-model-for-interpretable-vehicle-state-prediction-2103.06727</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-physics-and-deep-learning-model-for-interpretable-vehicle-state-prediction-2103.06727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-physics-and-deep-learning-model-for-interpretable-vehicle-state-prediction-2103.06727"/></url>
<url><loc>https://scifaro.com/en/abs/intraclass-clustering-an-implicit-learning-ability-that-regularizes-dnns-2103.06733</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intraclass-clustering-an-implicit-learning-ability-that-regularizes-dnns-2103.06733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intraclass-clustering-an-implicit-learning-ability-that-regularizes-dnns-2103.06733"/></url>
<url><loc>https://scifaro.com/en/abs/bodame-bilevel-optimization-for-defense-against-model-extraction-2103.06797</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bodame-bilevel-optimization-for-defense-against-model-extraction-2103.06797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bodame-bilevel-optimization-for-defense-against-model-extraction-2103.06797"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-robust-classification-with-fairness-constraints-2103.06828</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-robust-classification-with-fairness-constraints-2103.06828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-robust-classification-with-fairness-constraints-2103.06828"/></url>
<url><loc>https://scifaro.com/en/abs/policy-search-with-rare-significant-events-choosing-the-right-partner-to-cooperate-with-2103.06846</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-search-with-rare-significant-events-choosing-the-right-partner-to-cooperate-with-2103.06846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-search-with-rare-significant-events-choosing-the-right-partner-to-cooperate-with-2103.06846"/></url>
<url><loc>https://scifaro.com/en/abs/should-graph-neural-networks-use-features-edges-or-both-2103.06857</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/should-graph-neural-networks-use-features-edges-or-both-2103.06857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/should-graph-neural-networks-use-features-edges-or-both-2103.06857"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-origin-of-information-seeking-exploration-in-probabilistic-objectives-for-control-2103.06859</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-origin-of-information-seeking-exploration-in-probabilistic-objectives-for-control-2103.06859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-origin-of-information-seeking-exploration-in-probabilistic-objectives-for-control-2103.06859"/></url>
<url><loc>https://scifaro.com/en/abs/scaffold-embeddings-learning-the-structure-spanned-by-chemical-fragments-scaffolds-and-compounds-2103.06867</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaffold-embeddings-learning-the-structure-spanned-by-chemical-fragments-scaffolds-and-compounds-2103.06867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaffold-embeddings-learning-the-structure-spanned-by-chemical-fragments-scaffolds-and-compounds-2103.06867"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-partially-separable-data-2103.06869</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-partially-separable-data-2103.06869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-partially-separable-data-2103.06869"/></url>
<url><loc>https://scifaro.com/en/abs/for-manifold-learning-deep-neural-networks-can-be-locality-sensitive-hash-functions-2103.06875</loc><lastmod>2021-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/for-manifold-learning-deep-neural-networks-can-be-locality-sensitive-hash-functions-2103.06875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/for-manifold-learning-deep-neural-networks-can-be-locality-sensitive-hash-functions-2103.06875"/></url>
<url><loc>https://scifaro.com/en/abs/modern-dimension-reduction-2103.06885</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modern-dimension-reduction-2103.06885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modern-dimension-reduction-2103.06885"/></url>
<url><loc>https://scifaro.com/en/abs/on-improving-deep-learning-trace-analysis-with-system-call-arguments-2103.06915</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-improving-deep-learning-trace-analysis-with-system-call-arguments-2103.06915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-improving-deep-learning-trace-analysis-with-system-call-arguments-2103.06915"/></url>
<url><loc>https://scifaro.com/en/abs/linnaeus-a-highly-reusable-and-adaptable-ml-based-log-classification-pipeline-2103.06927</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linnaeus-a-highly-reusable-and-adaptable-ml-based-log-classification-pipeline-2103.06927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linnaeus-a-highly-reusable-and-adaptable-ml-based-log-classification-pipeline-2103.06927"/></url>
<url><loc>https://scifaro.com/en/abs/a-reinforcement-learning-based-approach-to-play-calling-in-football-2103.06939</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reinforcement-learning-based-approach-to-play-calling-in-football-2103.06939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reinforcement-learning-based-approach-to-play-calling-in-football-2103.06939"/></url>
<url><loc>https://scifaro.com/en/abs/federated-functional-gradient-boosting-2103.06972</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-functional-gradient-boosting-2103.06972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-functional-gradient-boosting-2103.06972"/></url>
<url><loc>https://scifaro.com/en/abs/learning-by-teaching-with-application-to-neural-architecture-search-2103.07009</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-by-teaching-with-application-to-neural-architecture-search-2103.07009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-by-teaching-with-application-to-neural-architecture-search-2103.07009"/></url>
<url><loc>https://scifaro.com/en/abs/large-batch-simulation-for-deep-reinforcement-learning-2103.07013</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-batch-simulation-for-deep-reinforcement-learning-2103.07013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-batch-simulation-for-deep-reinforcement-learning-2103.07013"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-equivalence-between-temporal-and-static-graph-representations-for-observational-predictions-2103.07016</loc><lastmod>2023-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-equivalence-between-temporal-and-static-graph-representations-for-observational-predictions-2103.07016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-equivalence-between-temporal-and-static-graph-representations-for-observational-predictions-2103.07016"/></url>
<url><loc>https://scifaro.com/en/abs/interleaving-learning-with-application-to-neural-architecture-search-2103.07018</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interleaving-learning-with-application-to-neural-architecture-search-2103.07018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interleaving-learning-with-application-to-neural-architecture-search-2103.07018"/></url>
<url><loc>https://scifaro.com/en/abs/scei-a-smart-contract-driven-edge-intelligence-framework-for-iot-systems-2103.07050</loc><lastmod>2023-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scei-a-smart-contract-driven-edge-intelligence-framework-for-iot-systems-2103.07050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scei-a-smart-contract-driven-edge-intelligence-framework-for-iot-systems-2103.07050"/></url>
<url><loc>https://scifaro.com/en/abs/can-single-shuffle-sgd-be-better-than-reshuffling-sgd-and-gd-2103.07079</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-single-shuffle-sgd-be-better-than-reshuffling-sgd-and-gd-2103.07079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-single-shuffle-sgd-be-better-than-reshuffling-sgd-and-gd-2103.07079"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-in-feasibility-of-attribute-inference-attacks-on-machine-learning-models-2103.07101</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-in-feasibility-of-attribute-inference-attacks-on-machine-learning-models-2103.07101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-in-feasibility-of-attribute-inference-attacks-on-machine-learning-models-2103.07101"/></url>
<url><loc>https://scifaro.com/en/abs/training-networks-in-null-space-of-feature-covariance-for-continual-learning-2103.07113</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-networks-in-null-space-of-feature-covariance-for-continual-learning-2103.07113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-networks-in-null-space-of-feature-covariance-for-continual-learning-2103.07113"/></url>
<url><loc>https://scifaro.com/en/abs/auction-based-clustered-federated-learning-in-mobile-edge-computing-system-2103.07150</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auction-based-clustered-federated-learning-in-mobile-edge-computing-system-2103.07150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auction-based-clustered-federated-learning-in-mobile-edge-computing-system-2103.07150"/></url>
<url><loc>https://scifaro.com/en/abs/visualising-deep-network-s-time-series-representations-2103.07176</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualising-deep-network-s-time-series-representations-2103.07176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualising-deep-network-s-time-series-representations-2103.07176"/></url>
<url><loc>https://scifaro.com/en/abs/medical-data-wrangling-with-sequential-variational-autoencoders-2103.07206</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/medical-data-wrangling-with-sequential-variational-autoencoders-2103.07206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/medical-data-wrangling-with-sequential-variational-autoencoders-2103.07206"/></url>
<url><loc>https://scifaro.com/en/abs/domain-curiosity-learning-efficient-data-collection-strategies-for-domain-adaptation-2103.07223</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-curiosity-learning-efficient-data-collection-strategies-for-domain-adaptation-2103.07223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-curiosity-learning-efficient-data-collection-strategies-for-domain-adaptation-2103.07223"/></url>
<url><loc>https://scifaro.com/en/abs/bdd4bnn-a-bdd-based-quantitative-analysis-framework-for-binarized-neural-networks-2103.07224</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bdd4bnn-a-bdd-based-quantitative-analysis-framework-for-binarized-neural-networks-2103.07224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bdd4bnn-a-bdd-based-quantitative-analysis-framework-for-binarized-neural-networks-2103.07224"/></url>
<url><loc>https://scifaro.com/en/abs/projection-based-qlp-algorithm-for-efficiently-computing-low-rank-approximation-of-matrices-2103.07245</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projection-based-qlp-algorithm-for-efficiently-computing-low-rank-approximation-of-matrices-2103.07245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projection-based-qlp-algorithm-for-efficiently-computing-low-rank-approximation-of-matrices-2103.07245"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-and-data-driven-services-for-energy-systems-using-graph-neural-networks-2103.07248</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-and-data-driven-services-for-energy-systems-using-graph-neural-networks-2103.07248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-and-data-driven-services-for-energy-systems-using-graph-neural-networks-2103.07248"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-generalizable-embryo-selection-based-on-artificial-intelligence-and-time-lapse-image-sequences-2103.07262</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-generalizable-embryo-selection-based-on-artificial-intelligence-and-time-lapse-image-sequences-2103.07262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-generalizable-embryo-selection-based-on-artificial-intelligence-and-time-lapse-image-sequences-2103.07262"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-machine-learning-security-problems-for-6g-mmwave-beam-prediction-use-case-2103.07268</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-machine-learning-security-problems-for-6g-mmwave-beam-prediction-use-case-2103.07268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-machine-learning-security-problems-for-6g-mmwave-beam-prediction-use-case-2103.07268"/></url>
<url><loc>https://scifaro.com/en/abs/patient-specific-virtual-spine-straightening-and-vertebra-inpainting-an-automatic-framework-for-osteoplasty-planning-2103.07279</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/patient-specific-virtual-spine-straightening-and-vertebra-inpainting-an-automatic-framework-for-osteoplasty-planning-2103.07279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/patient-specific-virtual-spine-straightening-and-vertebra-inpainting-an-automatic-framework-for-osteoplasty-planning-2103.07279"/></url>
<url><loc>https://scifaro.com/en/abs/integration-of-convolutional-neural-networks-in-mobile-applications-2103.07286</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integration-of-convolutional-neural-networks-in-mobile-applications-2103.07286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integration-of-convolutional-neural-networks-in-mobile-applications-2103.07286"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-with-complex-valued-weights-have-no-spurious-local-minima-2103.07287</loc><lastmod>2024-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-with-complex-valued-weights-have-no-spurious-local-minima-2103.07287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-with-complex-valued-weights-have-no-spurious-local-minima-2103.07287"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-graph-disentanglement-2103.07295</loc><lastmod>2024-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-graph-disentanglement-2103.07295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-graph-disentanglement-2103.07295"/></url>
<url><loc>https://scifaro.com/en/abs/second-order-component-analysis-for-fault-detection-2103.07303</loc><lastmod>2021-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/second-order-component-analysis-for-fault-detection-2103.07303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/second-order-component-analysis-for-fault-detection-2103.07303"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-training-framework-for-deep-neural-network-2103.07350</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-training-framework-for-deep-neural-network-2103.07350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-training-framework-for-deep-neural-network-2103.07350"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-game-theoretic-interpretation-of-adversarial-robustness-2103.07364</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-game-theoretic-interpretation-of-adversarial-robustness-2103.07364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-game-theoretic-interpretation-of-adversarial-robustness-2103.07364"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-network-for-semigroups-2103.07388</loc><lastmod>2021-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-network-for-semigroups-2103.07388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-network-for-semigroups-2103.07388"/></url>
<url><loc>https://scifaro.com/en/abs/eventgrad-event-triggered-communication-in-parallel-machine-learning-2103.07454</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eventgrad-event-triggered-communication-in-parallel-machine-learning-2103.07454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eventgrad-event-triggered-communication-in-parallel-machine-learning-2103.07454"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-invariance-via-feedforward-inversion-of-discriminatively-trained-classifiers-2103.07470</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-invariance-via-feedforward-inversion-of-discriminatively-trained-classifiers-2103.07470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-invariance-via-feedforward-inversion-of-discriminatively-trained-classifiers-2103.07470"/></url>
<url><loc>https://scifaro.com/en/abs/private-cross-silo-federated-learning-for-extracting-vaccine-adverse-event-mentions-2103.07491</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-cross-silo-federated-learning-for-extracting-vaccine-adverse-event-mentions-2103.07491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-cross-silo-federated-learning-for-extracting-vaccine-adverse-event-mentions-2103.07491"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-for-recurrent-neural-networks-an-empirical-evaluation-2103.07492</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-for-recurrent-neural-networks-an-empirical-evaluation-2103.07492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-for-recurrent-neural-networks-an-empirical-evaluation-2103.07492"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-log-2-t-regret-for-decentralized-bandits-in-matching-markets-2103.07501</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-log-2-t-regret-for-decentralized-bandits-in-matching-markets-2103.07501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-log-2-t-regret-for-decentralized-bandits-in-matching-markets-2103.07501"/></url>
<url><loc>https://scifaro.com/en/abs/discovery-of-physics-and-characterization-of-microstructure-from-data-with-bayesian-hidden-physics-models-2103.07502</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovery-of-physics-and-characterization-of-microstructure-from-data-with-bayesian-hidden-physics-models-2103.07502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovery-of-physics-and-characterization-of-microstructure-from-data-with-bayesian-hidden-physics-models-2103.07502"/></url>
<url><loc>https://scifaro.com/en/abs/a-distributed-optimisation-framework-combining-natural-gradient-with-hessian-free-for-discriminative-sequence-training-2103.07554</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distributed-optimisation-framework-combining-natural-gradient-with-hessian-free-for-discriminative-sequence-training-2103.07554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distributed-optimisation-framework-combining-natural-gradient-with-hessian-free-for-discriminative-sequence-training-2103.07554"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-regularization-joint-privacy-utility-optimization-in-language-models-2103.07567</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-regularization-joint-privacy-utility-optimization-in-language-models-2103.07567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-regularization-joint-privacy-utility-optimization-in-language-models-2103.07567"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-randomized-subspace-embeddings-for-distributed-optimization-under-a-communication-budget-2103.07578</loc><lastmod>2022-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-randomized-subspace-embeddings-for-distributed-optimization-under-a-communication-budget-2103.07578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-randomized-subspace-embeddings-for-distributed-optimization-under-a-communication-budget-2103.07578"/></url>
<url><loc>https://scifaro.com/en/abs/learning-defense-transformers-for-counterattacking-adversarial-examples-2103.07595</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-defense-transformers-for-counterattacking-adversarial-examples-2103.07595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-defense-transformers-for-counterattacking-adversarial-examples-2103.07595"/></url>
<url><loc>https://scifaro.com/en/abs/internal-wasserstein-distance-for-adversarial-attack-and-defense-2103.07598</loc><lastmod>2023-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/internal-wasserstein-distance-for-adversarial-attack-and-defense-2103.07598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/internal-wasserstein-distance-for-adversarial-attack-and-defense-2103.07598"/></url>
<url><loc>https://scifaro.com/en/abs/student-teacher-learning-from-clean-inputs-to-noisy-inputs-2103.07600</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/student-teacher-learning-from-clean-inputs-to-noisy-inputs-2103.07600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/student-teacher-learning-from-clean-inputs-to-noisy-inputs-2103.07600"/></url>
<url><loc>https://scifaro.com/en/abs/solving-compositional-reinforcement-learning-problems-via-task-reduction-2103.07607</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-compositional-reinforcement-learning-problems-via-task-reduction-2103.07607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-compositional-reinforcement-learning-problems-via-task-reduction-2103.07607"/></url>
<url><loc>https://scifaro.com/en/abs/smote-enc-a-novel-smote-based-method-to-generate-synthetic-data-for-nominal-and-continuous-features-2103.07612</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smote-enc-a-novel-smote-based-method-to-generate-synthetic-data-for-nominal-and-continuous-features-2103.07612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smote-enc-a-novel-smote-based-method-to-generate-synthetic-data-for-nominal-and-continuous-features-2103.07612"/></url>
<url><loc>https://scifaro.com/en/abs/conceptual-capacity-and-effective-complexity-of-neural-networks-2103.07614</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conceptual-capacity-and-effective-complexity-of-neural-networks-2103.07614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conceptual-capacity-and-effective-complexity-of-neural-networks-2103.07614"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-learning-with-manifold-based-data-splitting-for-noisy-label-correction-2103.07641</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-learning-with-manifold-based-data-splitting-for-noisy-label-correction-2103.07641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-learning-with-manifold-based-data-splitting-for-noisy-label-correction-2103.07641"/></url>
<url><loc>https://scifaro.com/en/abs/robust-model-compression-using-deep-hypotheses-2103.07668</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-model-compression-using-deep-hypotheses-2103.07668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-model-compression-using-deep-hypotheses-2103.07668"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-sparse-artificial-neural-networks-2103.07674</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-sparse-artificial-neural-networks-2103.07674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-sparse-artificial-neural-networks-2103.07674"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-machine-learning-in-processing-remote-sensing-data-for-mineral-exploration-2103.07678</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-machine-learning-in-processing-remote-sensing-data-for-mineral-exploration-2103.07678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-machine-learning-in-processing-remote-sensing-data-for-mineral-exploration-2103.07678"/></url>
<url><loc>https://scifaro.com/en/abs/simeon-secure-federated-machine-learning-through-iterative-filtering-2103.07704</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simeon-secure-federated-machine-learning-through-iterative-filtering-2103.07704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simeon-secure-federated-machine-learning-through-iterative-filtering-2103.07704"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-temporal-graph-neural-network-for-multivariate-time-series-forecasting-2103.07719</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-temporal-graph-neural-network-for-multivariate-time-series-forecasting-2103.07719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-temporal-graph-neural-network-for-multivariate-time-series-forecasting-2103.07719"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-feature-dependent-label-noise-a-progressive-approach-2103.07756</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-feature-dependent-label-noise-a-progressive-approach-2103.07756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-feature-dependent-label-noise-a-progressive-approach-2103.07756"/></url>
<url><loc>https://scifaro.com/en/abs/treatment-effect-estimation-using-invariant-risk-minimization-2103.07788</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/treatment-effect-estimation-using-invariant-risk-minimization-2103.07788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/treatment-effect-estimation-using-invariant-risk-minimization-2103.07788"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-computer-approach-to-train-a-machine-learning-system-2103.07802</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-computer-approach-to-train-a-machine-learning-system-2103.07802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-computer-approach-to-train-a-machine-learning-system-2103.07802"/></url>
<url><loc>https://scifaro.com/en/abs/cactus-detecting-and-resolving-conflicts-in-objective-functions-2103.07805</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cactus-detecting-and-resolving-conflicts-in-objective-functions-2103.07805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cactus-detecting-and-resolving-conflicts-in-objective-functions-2103.07805"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-learning-in-the-presence-of-noise-application-in-icd-10-code-classification-2103.07808</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-learning-in-the-presence-of-noise-application-in-icd-10-code-classification-2103.07808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-learning-in-the-presence-of-noise-application-in-icd-10-code-classification-2103.07808"/></url>
<url><loc>https://scifaro.com/en/abs/membership-inference-attacks-on-machine-learning-a-survey-2103.07853</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/membership-inference-attacks-on-machine-learning-a-survey-2103.07853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/membership-inference-attacks-on-machine-learning-a-survey-2103.07853"/></url>
<url><loc>https://scifaro.com/en/abs/mean-field-game-gan-2103.07855</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-field-game-gan-2103.07855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-field-game-gan-2103.07855"/></url>
<url><loc>https://scifaro.com/en/abs/vcnet-and-functional-targeted-regularization-for-learning-causal-effects-of-continuous-treatments-2103.07861</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vcnet-and-functional-targeted-regularization-for-learning-causal-effects-of-continuous-treatments-2103.07861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vcnet-and-functional-targeted-regularization-for-learning-causal-effects-of-continuous-treatments-2103.07861"/></url>
<url><loc>https://scifaro.com/en/abs/gym-anm-reinforcement-learning-environments-for-active-network-management-tasks-in-electricity-distribution-systems-2103.07932</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gym-anm-reinforcement-learning-environments-for-active-network-management-tasks-in-electricity-distribution-systems-2103.07932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gym-anm-reinforcement-learning-environments-for-active-network-management-tasks-in-electricity-distribution-systems-2103.07932"/></url>
<url><loc>https://scifaro.com/en/abs/learning-one-representation-to-optimize-all-rewards-2103.07945</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-one-representation-to-optimize-all-rewards-2103.07945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-one-representation-to-optimize-all-rewards-2103.07945"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-interpretable-unsupervised-anomaly-detection-method-based-on-residual-explanation-2103.07953</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-interpretable-unsupervised-anomaly-detection-method-based-on-residual-explanation-2103.07953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-interpretable-unsupervised-anomaly-detection-method-based-on-residual-explanation-2103.07953"/></url>
<url><loc>https://scifaro.com/en/abs/pre-interpolation-loss-behaviour-in-neural-networks-2103.07986</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pre-interpolation-loss-behaviour-in-neural-networks-2103.07986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pre-interpolation-loss-behaviour-in-neural-networks-2103.07986"/></url>
<url><loc>https://scifaro.com/en/abs/claim-verification-using-a-multi-gan-based-model-2103.08001</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/claim-verification-using-a-multi-gan-based-model-2103.08001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/claim-verification-using-a-multi-gan-based-model-2103.08001"/></url>
<url><loc>https://scifaro.com/en/abs/a-scalable-gradient-free-method-for-bayesian-experimental-design-with-implicit-models-2103.08026</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scalable-gradient-free-method-for-bayesian-experimental-design-with-implicit-models-2103.08026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scalable-gradient-free-method-for-bayesian-experimental-design-with-implicit-models-2103.08026"/></url>
<url><loc>https://scifaro.com/en/abs/breakingbed-breaking-binary-and-efficient-deep-neural-networks-by-adversarial-attacks-2103.08031</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breakingbed-breaking-binary-and-efficient-deep-neural-networks-by-adversarial-attacks-2103.08031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breakingbed-breaking-binary-and-efficient-deep-neural-networks-by-adversarial-attacks-2103.08031"/></url>
<url><loc>https://scifaro.com/en/abs/offline-reinforcement-learning-with-fisher-divergence-critic-regularization-2103.08050</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-reinforcement-learning-with-fisher-divergence-critic-regularization-2103.08050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-reinforcement-learning-with-fisher-divergence-critic-regularization-2103.08050"/></url>
<url><loc>https://scifaro.com/en/abs/recsim-ng-toward-principled-uncertainty-modeling-for-recommender-ecosystems-2103.08057</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recsim-ng-toward-principled-uncertainty-modeling-for-recommender-ecosystems-2103.08057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recsim-ng-toward-principled-uncertainty-modeling-for-recommender-ecosystems-2103.08057"/></url>
<url><loc>https://scifaro.com/en/abs/mutual-information-state-intrinsic-control-2103.08107</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mutual-information-state-intrinsic-control-2103.08107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mutual-information-state-intrinsic-control-2103.08107"/></url>
<url><loc>https://scifaro.com/en/abs/pretraining-neural-architecture-search-controllers-with-locality-based-self-supervised-learning-2103.08157</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pretraining-neural-architecture-search-controllers-with-locality-based-self-supervised-learning-2103.08157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pretraining-neural-architecture-search-controllers-with-locality-based-self-supervised-learning-2103.08157"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-for-medical-diagnosis-evaluation-for-using-a-hybrid-stacked-genetic-approach-in-the-diagnosis-of-heart-disease-2103.08175</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-for-medical-diagnosis-evaluation-for-using-a-hybrid-stacked-genetic-approach-in-the-diagnosis-of-heart-disease-2103.08175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-for-medical-diagnosis-evaluation-for-using-a-hybrid-stacked-genetic-approach-in-the-diagnosis-of-heart-disease-2103.08175"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-and-forecasting-spread-of-covid-19-epidemic-in-iran-until-sep-22-2021-based-on-deep-learning-2103.08178</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-and-forecasting-spread-of-covid-19-epidemic-in-iran-until-sep-22-2021-based-on-deep-learning-2103.08178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-and-forecasting-spread-of-covid-19-epidemic-in-iran-until-sep-22-2021-based-on-deep-learning-2103.08178"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-network-based-ensemble-learning-algorithms-for-the-healthcare-system-diagnosis-of-chronic-diseases-2103.08182</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-based-ensemble-learning-algorithms-for-the-healthcare-system-diagnosis-of-chronic-diseases-2103.08182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-based-ensemble-learning-algorithms-for-the-healthcare-system-diagnosis-of-chronic-diseases-2103.08182"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-stacked-ensemble-combined-with-genetic-algorithms-for-prediction-of-diabetes-2103.08186</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-stacked-ensemble-combined-with-genetic-algorithms-for-prediction-of-diabetes-2103.08186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-stacked-ensemble-combined-with-genetic-algorithms-for-prediction-of-diabetes-2103.08186"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-is-not-ready-for-robot-learning-2103.08187</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-is-not-ready-for-robot-learning-2103.08187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-is-not-ready-for-robot-learning-2103.08187"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-by-selective-training-with-pseudo-labels-via-confidence-estimation-2103.08193</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-by-selective-training-with-pseudo-labels-via-confidence-estimation-2103.08193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-by-selective-training-with-pseudo-labels-via-confidence-estimation-2103.08193"/></url>
<url><loc>https://scifaro.com/en/abs/robust-maml-prioritization-task-buffer-with-adaptive-learning-process-for-model-agnostic-meta-learning-2103.08233</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-maml-prioritization-task-buffer-with-adaptive-learning-process-for-model-agnostic-meta-learning-2103.08233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-maml-prioritization-task-buffer-with-adaptive-learning-process-for-model-agnostic-meta-learning-2103.08233"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-algorithms-from-probabilistic-structure-estimation-2103.08241</loc><lastmod>2022-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-algorithms-from-probabilistic-structure-estimation-2103.08241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-algorithms-from-probabilistic-structure-estimation-2103.08241"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-representation-learning-with-curiosity-contrastive-forward-dynamics-model-2103.08255</loc><lastmod>2023-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-representation-learning-with-curiosity-contrastive-forward-dynamics-model-2103.08255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-representation-learning-with-curiosity-contrastive-forward-dynamics-model-2103.08255"/></url>
<url><loc>https://scifaro.com/en/abs/constant-random-perturbations-provide-adversarial-robustness-with-minimal-effect-on-accuracy-2103.08265</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constant-random-perturbations-provide-adversarial-robustness-with-minimal-effect-on-accuracy-2103.08265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constant-random-perturbations-provide-adversarial-robustness-with-minimal-effect-on-accuracy-2103.08265"/></url>
<url><loc>https://scifaro.com/en/abs/dippa-an-improved-method-for-bilinear-saddle-point-problems-2103.08270</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dippa-an-improved-method-for-bilinear-saddle-point-problems-2103.08270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dippa-an-improved-method-for-bilinear-saddle-point-problems-2103.08270"/></url>
<url><loc>https://scifaro.com/en/abs/tinyol-tinyml-with-online-learning-on-microcontrollers-2103.08295</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tinyol-tinyml-with-online-learning-on-microcontrollers-2103.08295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tinyol-tinyml-with-online-learning-on-microcontrollers-2103.08295"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcebug-a-framework-to-generate-adversarial-textual-examples-2103.08306</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcebug-a-framework-to-generate-adversarial-textual-examples-2103.08306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcebug-a-framework-to-generate-adversarial-textual-examples-2103.08306"/></url>
<url><loc>https://scifaro.com/en/abs/improving-adversarial-robustness-via-channel-wise-activation-suppressing-2103.08307</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-adversarial-robustness-via-channel-wise-activation-suppressing-2103.08307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-adversarial-robustness-via-channel-wise-activation-suppressing-2103.08307"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-massive-industrial-internet-of-things-2103.08308</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-massive-industrial-internet-of-things-2103.08308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-massive-industrial-internet-of-things-2103.08308"/></url>
<url><loc>https://scifaro.com/en/abs/an-automated-machine-learning-automl-method-for-driving-distraction-detection-based-on-lane-keeping-performance-2103.08311</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-automated-machine-learning-automl-method-for-driving-distraction-detection-based-on-lane-keeping-performance-2103.08311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-automated-machine-learning-automl-method-for-driving-distraction-detection-based-on-lane-keeping-performance-2103.08311"/></url>
<url><loc>https://scifaro.com/en/abs/trainless-model-performance-estimation-for-neural-architecture-search-2103.08312</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trainless-model-performance-estimation-for-neural-architecture-search-2103.08312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trainless-model-performance-estimation-for-neural-architecture-search-2103.08312"/></url>
<url><loc>https://scifaro.com/en/abs/partial-differential-equations-is-all-you-need-for-generating-neural-architectures-a-theory-for-physical-artificial-intelligence-systems-2103.08313</loc><lastmod>2024-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-differential-equations-is-all-you-need-for-generating-neural-architectures-a-theory-for-physical-artificial-intelligence-systems-2103.08313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-differential-equations-is-all-you-need-for-generating-neural-architectures-a-theory-for-physical-artificial-intelligence-systems-2103.08313"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-and-denotation-2103.08315</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-and-denotation-2103.08315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-and-denotation-2103.08315"/></url>
<url><loc>https://scifaro.com/en/abs/boosted-genetic-algorithm-using-machine-learning-for-traffic-control-optimization-2103.08317</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosted-genetic-algorithm-using-machine-learning-for-traffic-control-optimization-2103.08317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosted-genetic-algorithm-using-machine-learning-for-traffic-control-optimization-2103.08317"/></url>
<url><loc>https://scifaro.com/en/abs/spatiotemporal-tensor-completion-for-improved-urban-traffic-imputation-2103.08323</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatiotemporal-tensor-completion-for-improved-urban-traffic-imputation-2103.08323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatiotemporal-tensor-completion-for-improved-urban-traffic-imputation-2103.08323"/></url>
<url><loc>https://scifaro.com/en/abs/hsconas-hardware-software-co-design-of-efficient-dnns-via-neural-architecture-search-2103.08325</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hsconas-hardware-software-co-design-of-efficient-dnns-via-neural-architecture-search-2103.08325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hsconas-hardware-software-co-design-of-efficient-dnns-via-neural-architecture-search-2103.08325"/></url>
<url><loc>https://scifaro.com/en/abs/decorrelating-adversarial-nets-for-clustering-mobile-network-data-2103.08348</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decorrelating-adversarial-nets-for-clustering-mobile-network-data-2103.08348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decorrelating-adversarial-nets-for-clustering-mobile-network-data-2103.08348"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-method-for-real-time-prediction-and-uncertainty-quantification-of-fatigue-failure-under-stochastic-loading-using-artificial-neural-networks-and-gaussian-process-regression-2103.08349</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-method-for-real-time-prediction-and-uncertainty-quantification-of-fatigue-failure-under-stochastic-loading-using-artificial-neural-networks-and-gaussian-process-regression-2103.08349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-method-for-real-time-prediction-and-uncertainty-quantification-of-fatigue-failure-under-stochastic-loading-using-artificial-neural-networks-and-gaussian-process-regression-2103.08349"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-credit-risk-scoring-through-feature-contribution-alignment-with-expert-risk-analysts-2103.08359</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-credit-risk-scoring-through-feature-contribution-alignment-with-expert-risk-analysts-2103.08359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-credit-risk-scoring-through-feature-contribution-alignment-with-expert-risk-analysts-2103.08359"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-distribute-data-across-tasks-for-meta-learning-2103.08463</loc><lastmod>2022-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-distribute-data-across-tasks-for-meta-learning-2103.08463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-distribute-data-across-tasks-for-meta-learning-2103.08463"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-approach-for-detection-of-depression-using-eeg-features-2103.08467</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-approach-for-detection-of-depression-using-eeg-features-2103.08467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-approach-for-detection-of-depression-using-eeg-features-2103.08467"/></url>
<url><loc>https://scifaro.com/en/abs/how-many-data-points-is-a-prompt-worth-2103.08493</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-many-data-points-is-a-prompt-worth-2103.08493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-many-data-points-is-a-prompt-worth-2103.08493"/></url>
<url><loc>https://scifaro.com/en/abs/brainnetgan-data-augmentation-of-brain-connectivity-using-generative-adversarial-network-for-dementia-classification-2103.08494</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/brainnetgan-data-augmentation-of-brain-connectivity-using-generative-adversarial-network-for-dementia-classification-2103.08494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/brainnetgan-data-augmentation-of-brain-connectivity-using-generative-adversarial-network-for-dementia-classification-2103.08494"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-free-variational-inference-for-neural-networks-with-multiplicative-activation-noise-2103.08497</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-free-variational-inference-for-neural-networks-with-multiplicative-activation-noise-2103.08497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-free-variational-inference-for-neural-networks-with-multiplicative-activation-noise-2103.08497"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-data-velocity-using-dsne-2103.08509</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-data-velocity-using-dsne-2103.08509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-data-velocity-using-dsne-2103.08509"/></url>
<url><loc>https://scifaro.com/en/abs/meta-solver-for-neural-ordinary-differential-equations-2103.08561</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-solver-for-neural-ordinary-differential-equations-2103.08561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-solver-for-neural-ordinary-differential-equations-2103.08561"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-intrusion-detection-using-evidence-theory-2103.08585</loc><lastmod>2021-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-intrusion-detection-using-evidence-theory-2103.08585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-intrusion-detection-using-evidence-theory-2103.08585"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-gradient-method-to-designing-bayesian-experiments-for-implicit-models-2103.08594</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-gradient-method-to-designing-bayesian-experiments-for-implicit-models-2103.08594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-gradient-method-to-designing-bayesian-experiments-for-implicit-models-2103.08594"/></url>
<url><loc>https://scifaro.com/en/abs/dnnsolve-an-efficient-nn-based-pde-solver-2103.08662</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dnnsolve-an-efficient-nn-based-pde-solver-2103.08662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dnnsolve-an-efficient-nn-based-pde-solver-2103.08662"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-for-virtual-flow-metering-2103.08713</loc><lastmod>2024-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-for-virtual-flow-metering-2103.08713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-for-virtual-flow-metering-2103.08713"/></url>
<url><loc>https://scifaro.com/en/abs/growing-3d-artefacts-and-functional-machines-with-neural-cellular-automata-2103.08737</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/growing-3d-artefacts-and-functional-machines-with-neural-cellular-automata-2103.08737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/growing-3d-artefacts-and-functional-machines-with-neural-cellular-automata-2103.08737"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-opioid-use-disorder-from-longitudinal-healthcare-data-using-multi-stream-transformer-2103.08800</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-opioid-use-disorder-from-longitudinal-healthcare-data-using-multi-stream-transformer-2103.08800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-opioid-use-disorder-from-longitudinal-healthcare-data-using-multi-stream-transformer-2103.08800"/></url>
<url><loc>https://scifaro.com/en/abs/ex-ray-distinguishing-injected-backdoor-from-natural-features-in-neural-networks-by-examining-differential-feature-symmetry-2103.08820</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ex-ray-distinguishing-injected-backdoor-from-natural-features-in-neural-networks-by-examining-differential-feature-symmetry-2103.08820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ex-ray-distinguishing-injected-backdoor-from-natural-features-in-neural-networks-by-examining-differential-feature-symmetry-2103.08820"/></url>
<url><loc>https://scifaro.com/en/abs/graphsmote-imbalanced-node-classification-on-graphs-with-graph-neural-networks-2103.08826</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphsmote-imbalanced-node-classification-on-graphs-with-graph-neural-networks-2103.08826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphsmote-imbalanced-node-classification-on-graphs-with-graph-neural-networks-2103.08826"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-graph-to-graph-translation-2103.08827</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-graph-to-graph-translation-2103.08827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-graph-to-graph-translation-2103.08827"/></url>
<url><loc>https://scifaro.com/en/abs/learned-gradient-compression-for-distributed-deep-learning-2103.08870</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learned-gradient-compression-for-distributed-deep-learning-2103.08870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learned-gradient-compression-for-distributed-deep-learning-2103.08870"/></url>
<url><loc>https://scifaro.com/en/abs/learning-without-gradient-descent-encoded-by-the-dynamics-of-a-neurobiological-model-2103.08878</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-without-gradient-descent-encoded-by-the-dynamics-of-a-neurobiological-model-2103.08878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-without-gradient-descent-encoded-by-the-dynamics-of-a-neurobiological-model-2103.08878"/></url>
<url><loc>https://scifaro.com/en/abs/reweighting-augmented-samples-by-minimizing-the-maximal-expected-loss-2103.08933</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reweighting-augmented-samples-by-minimizing-the-maximal-expected-loss-2103.08933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reweighting-augmented-samples-by-minimizing-the-maximal-expected-loss-2103.08933"/></url>
<url><loc>https://scifaro.com/en/abs/generating-interpretable-counterfactual-explanations-by-implicit-minimisation-of-epistemic-and-aleatoric-uncertainties-2103.08951</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-interpretable-counterfactual-explanations-by-implicit-minimisation-of-epistemic-and-aleatoric-uncertainties-2103.08951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-interpretable-counterfactual-explanations-by-implicit-minimisation-of-epistemic-and-aleatoric-uncertainties-2103.08951"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-reinforcement-learning-framework-for-stochastic-spaceflight-campaign-design-2103.08981</loc><lastmod>2025-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-framework-for-stochastic-spaceflight-campaign-design-2103.08981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-framework-for-stochastic-spaceflight-campaign-design-2103.08981"/></url>
<url><loc>https://scifaro.com/en/abs/repurposing-pretrained-models-for-robust-out-of-domain-few-shot-learning-2103.09027</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/repurposing-pretrained-models-for-robust-out-of-domain-few-shot-learning-2103.09027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/repurposing-pretrained-models-for-robust-out-of-domain-few-shot-learning-2103.09027"/></url>
<url><loc>https://scifaro.com/en/abs/selective-intervention-planning-using-restless-multi-armed-bandits-to-improve-maternal-and-child-health-outcomes-2103.09052</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-intervention-planning-using-restless-multi-armed-bandits-to-improve-maternal-and-child-health-outcomes-2103.09052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-intervention-planning-using-restless-multi-armed-bandits-to-improve-maternal-and-child-health-outcomes-2103.09052"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-early-dropout-calibration-and-algorithmic-fairness-considerations-2103.09068</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-early-dropout-calibration-and-algorithmic-fairness-considerations-2103.09068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-early-dropout-calibration-and-algorithmic-fairness-considerations-2103.09068"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-shape-rewards-using-a-game-of-two-partners-2103.09159</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-shape-rewards-using-a-game-of-two-partners-2103.09159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-shape-rewards-using-a-game-of-two-partners-2103.09159"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-deep-learning-for-the-remote-characterisation-of-ambulation-in-multiple-sclerosis-using-smartphones-2103.09171</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-deep-learning-for-the-remote-characterisation-of-ambulation-in-multiple-sclerosis-using-smartphones-2103.09171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-deep-learning-for-the-remote-characterisation-of-ambulation-in-multiple-sclerosis-using-smartphones-2103.09171"/></url>
<url><loc>https://scifaro.com/en/abs/lyapunov-barrier-policy-optimization-2103.09230</loc><lastmod>2021-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lyapunov-barrier-policy-optimization-2103.09230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lyapunov-barrier-policy-optimization-2103.09230"/></url>
<url><loc>https://scifaro.com/en/abs/learning-hyperbolic-representations-of-topological-features-2103.09273</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-hyperbolic-representations-of-topological-features-2103.09273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-hyperbolic-representations-of-topological-features-2103.09273"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-challenges-in-ensuring-fairness-at-the-time-of-decision-2103.09287</loc><lastmod>2024-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-challenges-in-ensuring-fairness-at-the-time-of-decision-2103.09287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-challenges-in-ensuring-fairness-at-the-time-of-decision-2103.09287"/></url>
<url><loc>https://scifaro.com/en/abs/are-deep-learning-models-superior-for-missing-data-imputation-in-large-surveys-evidence-from-an-empirical-comparison-2103.09316</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-deep-learning-models-superior-for-missing-data-imputation-in-large-surveys-evidence-from-an-empirical-comparison-2103.09316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-deep-learning-models-superior-for-missing-data-imputation-in-large-surveys-evidence-from-an-empirical-comparison-2103.09316"/></url>
<url><loc>https://scifaro.com/en/abs/deep-time-series-models-for-scarce-data-2103.09348</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-time-series-models-for-scarce-data-2103.09348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-time-series-models-for-scarce-data-2103.09348"/></url>
<url><loc>https://scifaro.com/en/abs/multi-prize-lottery-ticket-hypothesis-finding-accurate-binary-neural-networks-by-pruning-a-randomly-weighted-network-2103.09377</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-prize-lottery-ticket-hypothesis-finding-accurate-binary-neural-networks-by-pruning-a-randomly-weighted-network-2103.09377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-prize-lottery-ticket-hypothesis-finding-accurate-binary-neural-networks-by-pruning-a-randomly-weighted-network-2103.09377"/></url>
<url><loc>https://scifaro.com/en/abs/pros-and-cons-of-gan-evaluation-measures-new-developments-2103.09396</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pros-and-cons-of-gan-evaluation-measures-new-developments-2103.09396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pros-and-cons-of-gan-evaluation-measures-new-developments-2103.09396"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-aware-outlier-ensemble-2103.09419</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-aware-outlier-ensemble-2103.09419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-aware-outlier-ensemble-2103.09419"/></url>
<url><loc>https://scifaro.com/en/abs/ogb-lsc-a-large-scale-challenge-for-machine-learning-on-graphs-2103.09430</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ogb-lsc-a-large-scale-challenge-for-machine-learning-on-graphs-2103.09430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ogb-lsc-a-large-scale-challenge-for-machine-learning-on-graphs-2103.09430"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-bayesian-optimization-using-multiscale-graph-correlation-2103.09434</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-bayesian-optimization-using-multiscale-graph-correlation-2103.09434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-bayesian-optimization-using-multiscale-graph-correlation-2103.09434"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-group-noise-2103.09468</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-group-noise-2103.09468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-group-noise-2103.09468"/></url>
<url><loc>https://scifaro.com/en/abs/predrnn-a-recurrent-neural-network-for-spatiotemporal-predictive-learning-2103.09504</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predrnn-a-recurrent-neural-network-for-spatiotemporal-predictive-learning-2103.09504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predrnn-a-recurrent-neural-network-for-spatiotemporal-predictive-learning-2103.09504"/></url>
<url><loc>https://scifaro.com/en/abs/sample-based-federated-learning-via-mini-batch-ssca-2103.09506</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-based-federated-learning-via-mini-batch-ssca-2103.09506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-based-federated-learning-via-mini-batch-ssca-2103.09506"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-differential-rates-of-aging-using-routine-laboratory-data-implications-for-morbidity-and-health-care-expenditure-2103.09574</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-differential-rates-of-aging-using-routine-laboratory-data-implications-for-morbidity-and-health-care-expenditure-2103.09574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-differential-rates-of-aging-using-routine-laboratory-data-implications-for-morbidity-and-health-care-expenditure-2103.09574"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-behavior-value-estimation-2103.09575</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-behavior-value-estimation-2103.09575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-behavior-value-estimation-2103.09575"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-bounds-on-data-requirements-for-the-ray-based-classification-2103.09577</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-bounds-on-data-requirements-for-the-ray-based-classification-2103.09577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-bounds-on-data-requirements-for-the-ray-based-classification-2103.09577"/></url>
<url><loc>https://scifaro.com/en/abs/inferred-vs-traditional-personality-assessment-are-we-predicting-the-same-thing-2103.09632</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferred-vs-traditional-personality-assessment-are-we-predicting-the-same-thing-2103.09632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferred-vs-traditional-personality-assessment-are-we-predicting-the-same-thing-2103.09632"/></url>
<url><loc>https://scifaro.com/en/abs/set-to-sequence-methods-in-machine-learning-a-review-2103.09656</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/set-to-sequence-methods-in-machine-learning-a-review-2103.09656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/set-to-sequence-methods-in-machine-learning-a-review-2103.09656"/></url>
<url><loc>https://scifaro.com/en/abs/reachable-distance-function-for-knn-classification-2103.09704</loc><lastmod>2022-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reachable-distance-function-for-knn-classification-2103.09704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reachable-distance-function-for-knn-classification-2103.09704"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-reinforcement-learning-for-autonomous-highway-driving-via-virtual-safety-cages-2103.09726</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-reinforcement-learning-for-autonomous-highway-driving-via-virtual-safety-cages-2103.09726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-reinforcement-learning-for-autonomous-highway-driving-via-virtual-safety-cages-2103.09726"/></url>
<url><loc>https://scifaro.com/en/abs/training-gans-with-stronger-augmentations-via-contrastive-discriminator-2103.09742</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-gans-with-stronger-augmentations-via-contrastive-discriminator-2103.09742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-gans-with-stronger-augmentations-via-contrastive-discriminator-2103.09742"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-extreme-heatwave-forecast-2103.09743</loc><lastmod>2022-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-extreme-heatwave-forecast-2103.09743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-extreme-heatwave-forecast-2103.09743"/></url>
<url><loc>https://scifaro.com/en/abs/diversified-multiscale-graph-learning-with-graph-self-correction-2103.09754</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversified-multiscale-graph-learning-with-graph-self-correction-2103.09754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversified-multiscale-graph-learning-with-graph-self-correction-2103.09754"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-policy-optimization-via-reps-2103.09756</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-policy-optimization-via-reps-2103.09756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-policy-optimization-via-reps-2103.09756"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-projection-memory-for-continual-learning-2103.09762</loc><lastmod>2021-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-projection-memory-for-continual-learning-2103.09762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-projection-memory-for-continual-learning-2103.09762"/></url>
<url><loc>https://scifaro.com/en/abs/teachmyagent-a-benchmark-for-automatic-curriculum-learning-in-deep-rl-2103.09815</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/teachmyagent-a-benchmark-for-automatic-curriculum-learning-in-deep-rl-2103.09815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/teachmyagent-a-benchmark-for-automatic-curriculum-learning-in-deep-rl-2103.09815"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-horizon-offline-reinforcement-learning-with-linear-function-approximation-curse-of-dimensionality-and-algorithm-2103.09847</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-horizon-offline-reinforcement-learning-with-linear-function-approximation-curse-of-dimensionality-and-algorithm-2103.09847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-horizon-offline-reinforcement-learning-with-linear-function-approximation-curse-of-dimensionality-and-algorithm-2103.09847"/></url>
<url><loc>https://scifaro.com/en/abs/value-aware-approximate-attention-2103.09857</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/value-aware-approximate-attention-2103.09857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/value-aware-approximate-attention-2103.09857"/></url>
<url><loc>https://scifaro.com/en/abs/bias-free-fedgan-a-federated-approach-to-generate-bias-free-datasets-2103.09876</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-free-fedgan-a-federated-approach-to-generate-bias-free-datasets-2103.09876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-free-fedgan-a-federated-approach-to-generate-bias-free-datasets-2103.09876"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-spatio-temporal-data-analytics-systems-2103.09883</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-spatio-temporal-data-analytics-systems-2103.09883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-spatio-temporal-data-analytics-systems-2103.09883"/></url>
<url><loc>https://scifaro.com/en/abs/fused-deep-features-based-classification-framework-for-covid-19-classification-with-optimized-mlp-2103.09904</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fused-deep-features-based-classification-framework-for-covid-19-classification-with-optimized-mlp-2103.09904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fused-deep-features-based-classification-framework-for-covid-19-classification-with-optimized-mlp-2103.09904"/></url>
<url><loc>https://scifaro.com/en/abs/can-targeted-adversarial-examples-transfer-when-the-source-and-target-models-have-no-label-space-overlap-2103.09916</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-targeted-adversarial-examples-transfer-when-the-source-and-target-models-have-no-label-space-overlap-2103.09916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-targeted-adversarial-examples-transfer-when-the-source-and-target-models-have-no-label-space-overlap-2103.09916"/></url>
<url><loc>https://scifaro.com/en/abs/encrypted-linear-contextual-bandit-2103.09927</loc><lastmod>2022-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encrypted-linear-contextual-bandit-2103.09927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encrypted-linear-contextual-bandit-2103.09927"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-generalization-in-adversarial-training-via-the-bias-variance-decomposition-2103.09947</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-generalization-in-adversarial-training-via-the-bias-variance-decomposition-2103.09947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-generalization-in-adversarial-training-via-the-bias-variance-decomposition-2103.09947"/></url>
<url><loc>https://scifaro.com/en/abs/decision-theoretic-bootstrapping-2103.09982</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-theoretic-bootstrapping-2103.09982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-theoretic-bootstrapping-2103.09982"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-theory-for-neural-networks-grounded-in-physics-2103.09985</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-theory-for-neural-networks-grounded-in-physics-2103.09985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-theory-for-neural-networks-grounded-in-physics-2103.09985"/></url>
<url><loc>https://scifaro.com/en/abs/data-free-mixed-precision-quantization-using-novel-sensitivity-metric-2103.10051</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-free-mixed-precision-quantization-using-novel-sensitivity-metric-2103.10051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-free-mixed-precision-quantization-using-novel-sensitivity-metric-2103.10051"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-probability-distributions-by-using-wasserstein-generative-adversarial-networks-2103.10060</loc><lastmod>2023-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-probability-distributions-by-using-wasserstein-generative-adversarial-networks-2103.10060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-probability-distributions-by-using-wasserstein-generative-adversarial-networks-2103.10060"/></url>
<url><loc>https://scifaro.com/en/abs/top-m-identification-for-linear-bandits-2103.10070</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/top-m-identification-for-linear-bandits-2103.10070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/top-m-identification-for-linear-bandits-2103.10070"/></url>
<url><loc>https://scifaro.com/en/abs/stride-and-translation-invariance-in-cnns-2103.10097</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stride-and-translation-invariance-in-cnns-2103.10097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stride-and-translation-invariance-in-cnns-2103.10097"/></url>
<url><loc>https://scifaro.com/en/abs/recent-advances-in-data-driven-wireless-communication-using-gaussian-processes-a-comprehensive-survey-2103.10134</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recent-advances-in-data-driven-wireless-communication-using-gaussian-processes-a-comprehensive-survey-2103.10134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recent-advances-in-data-driven-wireless-communication-using-gaussian-processes-a-comprehensive-survey-2103.10134"/></url>
<url><loc>https://scifaro.com/en/abs/lossless-compression-with-state-space-models-using-bits-back-coding-2103.10150</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lossless-compression-with-state-space-models-using-bits-back-coding-2103.10150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lossless-compression-with-state-space-models-using-bits-back-coding-2103.10150"/></url>
<url><loc>https://scifaro.com/en/abs/spot-a-framework-for-selection-of-prototypes-using-optimal-transport-2103.10159</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spot-a-framework-for-selection-of-prototypes-using-optimal-transport-2103.10159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spot-a-framework-for-selection-of-prototypes-using-optimal-transport-2103.10159"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-entropy-reinforcement-learning-with-mixture-policies-2103.10176</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-entropy-reinforcement-learning-with-mixture-policies-2103.10176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-entropy-reinforcement-learning-with-mixture-policies-2103.10176"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-trivial-counterfactual-explanations-with-diverse-valuable-explanations-2103.10226</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-trivial-counterfactual-explanations-with-diverse-valuable-explanations-2103.10226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-trivial-counterfactual-explanations-with-diverse-valuable-explanations-2103.10226"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-adversarial-attacks-in-deep-neural-networks-using-activation-profiles-2103.10229</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-adversarial-attacks-in-deep-neural-networks-using-activation-profiles-2103.10229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-adversarial-attacks-in-deep-neural-networks-using-activation-profiles-2103.10229"/></url>
<url><loc>https://scifaro.com/en/abs/building-safer-autonomous-agents-by-leveraging-risky-driving-behavior-knowledge-2103.10245</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-safer-autonomous-agents-by-leveraging-risky-driving-behavior-knowledge-2103.10245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-safer-autonomous-agents-by-leveraging-risky-driving-behavior-knowledge-2103.10245"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-feature-construction-for-time-series-extrinsic-regression-2103.10247</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-feature-construction-for-time-series-extrinsic-regression-2103.10247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-feature-construction-for-time-series-extrinsic-regression-2103.10247"/></url>
<url><loc>https://scifaro.com/en/abs/systematic-mapping-study-on-the-machine-learning-lifecycle-2103.10248</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/systematic-mapping-study-on-the-machine-learning-lifecycle-2103.10248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/systematic-mapping-study-on-the-machine-learning-lifecycle-2103.10248"/></url>
<url><loc>https://scifaro.com/en/abs/augmenting-supervised-learning-by-meta-learning-unsupervised-local-rules-2103.10252</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmenting-supervised-learning-by-meta-learning-unsupervised-local-rules-2103.10252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmenting-supervised-learning-by-meta-learning-unsupervised-local-rules-2103.10252"/></url>
<url><loc>https://scifaro.com/en/abs/domain-generalization-using-ensemble-learning-2103.10257</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-generalization-using-ensemble-learning-2103.10257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-generalization-using-ensemble-learning-2103.10257"/></url>
<url><loc>https://scifaro.com/en/abs/requirement-engineering-challenges-for-ai-intense-systems-development-2103.10270</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/requirement-engineering-challenges-for-ai-intense-systems-development-2103.10270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/requirement-engineering-challenges-for-ai-intense-systems-development-2103.10270"/></url>
<url><loc>https://scifaro.com/en/abs/top-backdoor-detection-in-neural-networks-via-transferability-of-perturbation-2103.10274</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/top-backdoor-detection-in-neural-networks-via-transferability-of-perturbation-2103.10274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/top-backdoor-detection-in-neural-networks-via-transferability-of-perturbation-2103.10274"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-the-second-player-in-distributionally-robust-optimization-2103.10282</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-the-second-player-in-distributionally-robust-optimization-2103.10282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-the-second-player-in-distributionally-robust-optimization-2103.10282"/></url>
<url><loc>https://scifaro.com/en/abs/integrated-decision-and-control-towards-interpretable-and-computationally-efficient-driving-intelligence-2103.10290</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrated-decision-and-control-towards-interpretable-and-computationally-efficient-driving-intelligence-2103.10290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrated-decision-and-control-towards-interpretable-and-computationally-efficient-driving-intelligence-2103.10290"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-schedule-heuristics-in-branch-and-bound-2103.10294</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-schedule-heuristics-in-branch-and-bound-2103.10294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-schedule-heuristics-in-branch-and-bound-2103.10294"/></url>
<url><loc>https://scifaro.com/en/abs/learning-how-to-optimize-black-box-functions-with-extreme-limits-on-the-number-of-function-evaluations-2103.10321</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-how-to-optimize-black-box-functions-with-extreme-limits-on-the-number-of-function-evaluations-2103.10321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-how-to-optimize-black-box-functions-with-extreme-limits-on-the-number-of-function-evaluations-2103.10321"/></url>
<url><loc>https://scifaro.com/en/abs/structure-inducing-pre-training-2103.10334</loc><lastmod>2022-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-inducing-pre-training-2103.10334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-inducing-pre-training-2103.10334"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-energy-and-carbon-footprint-analysis-of-distributed-and-federated-edge-learning-2103.10346</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-energy-and-carbon-footprint-analysis-of-distributed-and-federated-edge-learning-2103.10346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-energy-and-carbon-footprint-analysis-of-distributed-and-federated-edge-learning-2103.10346"/></url>
<url><loc>https://scifaro.com/en/abs/neural-multi-hop-reasoning-with-logical-rules-on-biomedical-knowledge-graphs-2103.10367</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-multi-hop-reasoning-with-logical-rules-on-biomedical-knowledge-graphs-2103.10367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-multi-hop-reasoning-with-logical-rules-on-biomedical-knowledge-graphs-2103.10367"/></url>
<url><loc>https://scifaro.com/en/abs/msmatch-semi-supervised-multispectral-scene-classification-with-few-labels-2103.10368</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/msmatch-semi-supervised-multispectral-scene-classification-with-few-labels-2103.10368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/msmatch-semi-supervised-multispectral-scene-classification-with-few-labels-2103.10368"/></url>
<url><loc>https://scifaro.com/en/abs/combining-pessimism-with-optimism-for-robust-and-efficient-model-based-deep-reinforcement-learning-2103.10369</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-pessimism-with-optimism-for-robust-and-efficient-model-based-deep-reinforcement-learning-2103.10369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-pessimism-with-optimism-for-robust-and-efficient-model-based-deep-reinforcement-learning-2103.10369"/></url>
<url><loc>https://scifaro.com/en/abs/chronor-rotation-based-temporal-knowledge-graph-embedding-2103.10379</loc><lastmod>2021-03-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chronor-rotation-based-temporal-knowledge-graph-embedding-2103.10379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chronor-rotation-based-temporal-knowledge-graph-embedding-2103.10379"/></url>
<url><loc>https://scifaro.com/en/abs/the-low-rank-simplicity-bias-in-deep-networks-2103.10427</loc><lastmod>2023-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-low-rank-simplicity-bias-in-deep-networks-2103.10427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-low-rank-simplicity-bias-in-deep-networks-2103.10427"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-doppler-radar-based-activity-recognition-for-e-healthcare-2103.10478</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-doppler-radar-based-activity-recognition-for-e-healthcare-2103.10478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-doppler-radar-based-activity-recognition-for-e-healthcare-2103.10478"/></url>
<url><loc>https://scifaro.com/en/abs/reading-isn-t-believing-adversarial-attacks-on-multi-modal-neurons-2103.10480</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reading-isn-t-believing-adversarial-attacks-on-multi-modal-neurons-2103.10480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reading-isn-t-believing-adversarial-attacks-on-multi-modal-neurons-2103.10480"/></url>
<url><loc>https://scifaro.com/en/abs/semi-decentralized-federated-learning-with-cooperative-d2d-local-model-aggregations-2103.10481</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-decentralized-federated-learning-with-cooperative-d2d-local-model-aggregations-2103.10481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-decentralized-federated-learning-with-cooperative-d2d-local-model-aggregations-2103.10481"/></url>
<url><loc>https://scifaro.com/en/abs/concentric-spherical-gnn-for-3d-representation-learning-2103.10484</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concentric-spherical-gnn-for-3d-representation-learning-2103.10484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concentric-spherical-gnn-for-3d-representation-learning-2103.10484"/></url>
<url><loc>https://scifaro.com/en/abs/naive-automated-machine-learning-a-late-baseline-for-automl-2103.10496</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/naive-automated-machine-learning-a-late-baseline-for-automl-2103.10496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/naive-automated-machine-learning-a-late-baseline-for-automl-2103.10496"/></url>
<url><loc>https://scifaro.com/en/abs/super-convergence-and-differential-privacy-training-faster-with-better-privacy-guarantees-2103.10498</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/super-convergence-and-differential-privacy-training-faster-with-better-privacy-guarantees-2103.10498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/super-convergence-and-differential-privacy-training-faster-with-better-privacy-guarantees-2103.10498"/></url>
<url><loc>https://scifaro.com/en/abs/hidden-technical-debts-for-fair-machine-learning-in-financial-services-2103.10510</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hidden-technical-debts-for-fair-machine-learning-in-financial-services-2103.10510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hidden-technical-debts-for-fair-machine-learning-in-financial-services-2103.10510"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-semi-supervised-learning-2103.10547</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-semi-supervised-learning-2103.10547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-semi-supervised-learning-2103.10547"/></url>
<url><loc>https://scifaro.com/en/abs/hw-nas-bench-hardware-aware-neural-architecture-search-benchmark-2103.10584</loc><lastmod>2025-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hw-nas-bench-hardware-aware-neural-architecture-search-benchmark-2103.10584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hw-nas-bench-hardware-aware-neural-architecture-search-benchmark-2103.10584"/></url>
<url><loc>https://scifaro.com/en/abs/cognitive-simulation-models-for-inertial-confinement-fusion-combining-simulation-and-experimental-data-2103.10590</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cognitive-simulation-models-for-inertial-confinement-fusion-combining-simulation-and-experimental-data-2103.10590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cognitive-simulation-models-for-inertial-confinement-fusion-combining-simulation-and-experimental-data-2103.10590"/></url>
<url><loc>https://scifaro.com/en/abs/noise-modulation-let-your-model-interpret-itself-2103.10603</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-modulation-let-your-model-interpret-itself-2103.10603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-modulation-let-your-model-interpret-itself-2103.10603"/></url>
<url><loc>https://scifaro.com/en/abs/training-image-classifiers-using-semi-weak-label-data-2103.10608</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-image-classifiers-using-semi-weak-label-data-2103.10608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-image-classifiers-using-semi-weak-label-data-2103.10608"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-guided-object-discovery-with-acquired-deep-impressions-2103.10611</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-guided-object-discovery-with-acquired-deep-impressions-2103.10611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-guided-object-discovery-with-acquired-deep-impressions-2103.10611"/></url>
<url><loc>https://scifaro.com/en/abs/cascade-weight-shedding-in-deep-neural-networks-benefits-and-pitfalls-for-network-pruning-2103.10629</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cascade-weight-shedding-in-deep-neural-networks-benefits-and-pitfalls-for-network-pruning-2103.10629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cascade-weight-shedding-in-deep-neural-networks-benefits-and-pitfalls-for-network-pruning-2103.10629"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-linear-subspace-clustering-a-comparative-study-of-nonlinear-manifold-clustering-algorithms-2103.10656</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-linear-subspace-clustering-a-comparative-study-of-nonlinear-manifold-clustering-algorithms-2103.10656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-linear-subspace-clustering-a-comparative-study-of-nonlinear-manifold-clustering-algorithms-2103.10656"/></url>
<url><loc>https://scifaro.com/en/abs/masked-conditional-random-fields-for-sequence-labeling-2103.10682</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/masked-conditional-random-fields-for-sequence-labeling-2103.10682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/masked-conditional-random-fields-for-sequence-labeling-2103.10682"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-deep-learning-interpretation-interpretability-trustworthiness-and-beyond-2103.10689</loc><lastmod>2022-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-deep-learning-interpretation-interpretability-trustworthiness-and-beyond-2103.10689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-deep-learning-interpretation-interpretability-trustworthiness-and-beyond-2103.10689"/></url>
<url><loc>https://scifaro.com/en/abs/qross-qubo-relaxation-parameter-optimisation-via-learning-solver-surrogates-2103.10695</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qross-qubo-relaxation-parameter-optimisation-via-learning-solver-surrogates-2103.10695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qross-qubo-relaxation-parameter-optimisation-via-learning-solver-surrogates-2103.10695"/></url>
<url><loc>https://scifaro.com/en/abs/forward-and-backward-bellman-equations-improve-the-efficiency-of-em-algorithm-for-dec-pomdp-2103.10752</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forward-and-backward-bellman-equations-improve-the-efficiency-of-em-algorithm-for-dec-pomdp-2103.10752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forward-and-backward-bellman-equations-improve-the-efficiency-of-em-algorithm-for-dec-pomdp-2103.10752"/></url>
<url><loc>https://scifaro.com/en/abs/graph-attention-recurrent-neural-networks-for-correlated-time-series-forecasting-full-version-2103.10760</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-attention-recurrent-neural-networks-for-correlated-time-series-forecasting-full-version-2103.10760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-attention-recurrent-neural-networks-for-correlated-time-series-forecasting-full-version-2103.10760"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-robustness-of-on-line-learning-models-on-highly-noisy-data-2103.10824</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-robustness-of-on-line-learning-models-on-highly-noisy-data-2103.10824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-robustness-of-on-line-learning-models-on-highly-noisy-data-2103.10824"/></url>
<url><loc>https://scifaro.com/en/abs/improved-deterministic-smoothing-for-l-1-certified-robustness-2103.10834</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-deterministic-smoothing-for-l-1-certified-robustness-2103.10834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-deterministic-smoothing-for-l-1-certified-robustness-2103.10834"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-progressive-lens-performance-from-neural-network-simulations-2103.10842</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-progressive-lens-performance-from-neural-network-simulations-2103.10842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-progressive-lens-performance-from-neural-network-simulations-2103.10842"/></url>
<url><loc>https://scifaro.com/en/abs/metalabelnet-learning-to-generate-soft-labels-from-noisy-labels-2103.10869</loc><lastmod>2022-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metalabelnet-learning-to-generate-soft-labels-from-noisy-labels-2103.10869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metalabelnet-learning-to-generate-soft-labels-from-noisy-labels-2103.10869"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-slide-deep-learning-on-modern-cpus-vectorization-quantizations-memory-optimizations-and-more-2103.10891</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-slide-deep-learning-on-modern-cpus-vectorization-quantizations-memory-optimizations-and-more-2103.10891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-slide-deep-learning-on-modern-cpus-vectorization-quantizations-memory-optimizations-and-more-2103.10891"/></url>
<url><loc>https://scifaro.com/en/abs/bilinear-classes-a-structural-framework-for-provable-generalization-in-rl-2103.10897</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bilinear-classes-a-structural-framework-for-provable-generalization-in-rl-2103.10897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bilinear-classes-a-structural-framework-for-provable-generalization-in-rl-2103.10897"/></url>
<url><loc>https://scifaro.com/en/abs/from-static-to-dynamic-prediction-wildfire-risk-assessment-based-on-multiple-environmental-factors-2103.10901</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-static-to-dynamic-prediction-wildfire-risk-assessment-based-on-multiple-environmental-factors-2103.10901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-static-to-dynamic-prediction-wildfire-risk-assessment-based-on-multiple-environmental-factors-2103.10901"/></url>
<url><loc>https://scifaro.com/en/abs/joint-parameter-discovery-and-generative-modeling-of-dynamic-systems-2103.10905</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-parameter-discovery-and-generative-modeling-of-dynamic-systems-2103.10905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-parameter-discovery-and-generative-modeling-of-dynamic-systems-2103.10905"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-drug-drug-interactions-from-heterogeneous-data-an-embedding-approach-2103.10916</loc><lastmod>2021-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-drug-drug-interactions-from-heterogeneous-data-an-embedding-approach-2103.10916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-drug-drug-interactions-from-heterogeneous-data-an-embedding-approach-2103.10916"/></url>
<url><loc>https://scifaro.com/en/abs/landscape-analysis-for-shallow-neural-networks-complete-classification-of-critical-points-for-affine-target-functions-2103.10922</loc><lastmod>2022-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/landscape-analysis-for-shallow-neural-networks-complete-classification-of-critical-points-for-affine-target-functions-2103.10922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/landscape-analysis-for-shallow-neural-networks-complete-classification-of-critical-points-for-affine-target-functions-2103.10922"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-analysis-of-machine-learning-configurations-for-prediction-of-multiple-organ-failure-in-trauma-patients-2103.10929</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-analysis-of-machine-learning-configurations-for-prediction-of-multiple-organ-failure-in-trauma-patients-2103.10929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-analysis-of-machine-learning-configurations-for-prediction-of-multiple-organ-failure-in-trauma-patients-2103.10929"/></url>
<url><loc>https://scifaro.com/en/abs/the-shape-of-learning-curves-a-review-2103.10948</loc><lastmod>2022-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-shape-of-learning-curves-a-review-2103.10948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-shape-of-learning-curves-a-review-2103.10948"/></url>
<url><loc>https://scifaro.com/en/abs/learning-task-decomposition-with-ordered-memory-policy-network-2103.10972</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-task-decomposition-with-ordered-memory-policy-network-2103.10972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-task-decomposition-with-ordered-memory-policy-network-2103.10972"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-solution-operator-of-parametric-partial-differential-equations-with-physics-informed-deeponets-2103.10974</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-solution-operator-of-parametric-partial-differential-equations-with-physics-informed-deeponets-2103.10974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-solution-operator-of-parametric-partial-differential-equations-with-physics-informed-deeponets-2103.10974"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-motor-imagery-eeg-signals-by-using-a-divergence-based-convolutional-neural-network-2103.10977</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-motor-imagery-eeg-signals-by-using-a-divergence-based-convolutional-neural-network-2103.10977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-motor-imagery-eeg-signals-by-using-a-divergence-based-convolutional-neural-network-2103.10977"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-unlabeled-data-for-entity-relation-extraction-through-probabilistic-constraint-satisfaction-2103.11062</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-unlabeled-data-for-entity-relation-extraction-through-probabilistic-constraint-satisfaction-2103.11062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-unlabeled-data-for-entity-relation-extraction-through-probabilistic-constraint-satisfaction-2103.11062"/></url>
<url><loc>https://scifaro.com/en/abs/compacting-deep-neural-networks-for-internet-of-things-methods-and-applications-2103.11083</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compacting-deep-neural-networks-for-internet-of-things-methods-and-applications-2103.11083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compacting-deep-neural-networks-for-internet-of-things-methods-and-applications-2103.11083"/></url>
<url><loc>https://scifaro.com/en/abs/projection-free-distributed-online-learning-with-sublinear-communication-complexity-2103.11102</loc><lastmod>2022-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projection-free-distributed-online-learning-with-sublinear-communication-complexity-2103.11102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projection-free-distributed-online-learning-with-sublinear-communication-complexity-2103.11102"/></url>
<url><loc>https://scifaro.com/en/abs/datalens-scalable-privacy-preserving-training-via-gradient-compression-and-aggregation-2103.11109</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/datalens-scalable-privacy-preserving-training-via-gradient-compression-and-aggregation-2103.11109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/datalens-scalable-privacy-preserving-training-via-gradient-compression-and-aggregation-2103.11109"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-feature-learning-for-manipulation-with-contrastive-domain-randomization-2103.11144</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-feature-learning-for-manipulation-with-contrastive-domain-randomization-2103.11144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-feature-learning-for-manipulation-with-contrastive-domain-randomization-2103.11144"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-maintenance-bridging-artificial-intelligence-and-iot-2103.11148</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-maintenance-bridging-artificial-intelligence-and-iot-2103.11148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-maintenance-bridging-artificial-intelligence-and-iot-2103.11148"/></url>
<url><loc>https://scifaro.com/en/abs/low-dimensional-landscape-hypothesis-is-true-dnns-can-be-trained-in-tiny-subspaces-2103.11154</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-dimensional-landscape-hypothesis-is-true-dnns-can-be-trained-in-tiny-subspaces-2103.11154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-dimensional-landscape-hypothesis-is-true-dnns-can-be-trained-in-tiny-subspaces-2103.11154"/></url>
<url><loc>https://scifaro.com/en/abs/recognizing-predictive-substructures-with-subgraph-information-bottleneck-2103.11155</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recognizing-predictive-substructures-with-subgraph-information-bottleneck-2103.11155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recognizing-predictive-substructures-with-subgraph-information-bottleneck-2103.11155"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-framework-for-domain-generalization-in-clinical-settings-2103.11163</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-framework-for-domain-generalization-in-clinical-settings-2103.11163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-framework-for-domain-generalization-in-clinical-settings-2103.11163"/></url>
<url><loc>https://scifaro.com/en/abs/your-classifier-can-secretly-suffice-multi-source-domain-adaptation-2103.11169</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/your-classifier-can-secretly-suffice-multi-source-domain-adaptation-2103.11169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/your-classifier-can-secretly-suffice-multi-source-domain-adaptation-2103.11169"/></url>
<url><loc>https://scifaro.com/en/abs/ncore-neural-counterfactual-representation-learning-for-combinations-of-treatments-2103.11175</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ncore-neural-counterfactual-representation-learning-for-combinations-of-treatments-2103.11175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ncore-neural-counterfactual-representation-learning-for-combinations-of-treatments-2103.11175"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-neural-network-surrogate-modeling-benchmark-for-temperature-field-prediction-of-heat-source-layout-2103.11177</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-neural-network-surrogate-modeling-benchmark-for-temperature-field-prediction-of-heat-source-layout-2103.11177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-neural-network-surrogate-modeling-benchmark-for-temperature-field-prediction-of-heat-source-layout-2103.11177"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-data-mining-for-aviation-delay-prediction-2103.11221</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-data-mining-for-aviation-delay-prediction-2103.11221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-data-mining-for-aviation-delay-prediction-2103.11221"/></url>
<url><loc>https://scifaro.com/en/abs/demystifying-the-effects-of-non-independence-in-federated-learning-2103.11226</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-the-effects-of-non-independence-in-federated-learning-2103.11226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-the-effects-of-non-independence-in-federated-learning-2103.11226"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-machine-learning-fundamental-principles-and-10-grand-challenges-2103.11251</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-machine-learning-fundamental-principles-and-10-grand-challenges-2103.11251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-machine-learning-fundamental-principles-and-10-grand-challenges-2103.11251"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-heart-failure-patients-ehr-clinical-features-via-shap-interpretation-of-tree-based-machine-learning-model-predictions-2103.11254</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-heart-failure-patients-ehr-clinical-features-via-shap-interpretation-of-tree-based-machine-learning-model-predictions-2103.11254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-heart-failure-patients-ehr-clinical-features-via-shap-interpretation-of-tree-based-machine-learning-model-predictions-2103.11254"/></url>
<url><loc>https://scifaro.com/en/abs/robust-models-are-more-interpretable-because-attributions-look-normal-2103.11257</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-models-are-more-interpretable-because-attributions-look-normal-2103.11257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-models-are-more-interpretable-because-attributions-look-normal-2103.11257"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-distributional-policy-gradients-2103.11265</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-distributional-policy-gradients-2103.11265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-distributional-policy-gradients-2103.11265"/></url>
<url><loc>https://scifaro.com/en/abs/development-and-validation-of-a-deep-learning-model-for-prediction-of-severe-outcomes-in-suspected-covid-19-infection-2103.11269</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/development-and-validation-of-a-deep-learning-model-for-prediction-of-severe-outcomes-in-suspected-covid-19-infection-2103.11269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/development-and-validation-of-a-deep-learning-model-for-prediction-of-severe-outcomes-in-suspected-covid-19-infection-2103.11269"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-representation-learning-with-relative-predictive-coding-2103.11275</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-representation-learning-with-relative-predictive-coding-2103.11275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-representation-learning-with-relative-predictive-coding-2103.11275"/></url>
<url><loc>https://scifaro.com/en/abs/activationnet-representation-learning-to-predict-contact-quality-of-interacting-3-d-surfaces-in-engineering-designs-2103.11288</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/activationnet-representation-learning-to-predict-contact-quality-of-interacting-3-d-surfaces-in-engineering-designs-2103.11288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/activationnet-representation-learning-to-predict-contact-quality-of-interacting-3-d-surfaces-in-engineering-designs-2103.11288"/></url>
<url><loc>https://scifaro.com/en/abs/language-agnostic-representation-learning-of-source-code-from-structure-and-context-2103.11318</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/language-agnostic-representation-learning-of-source-code-from-structure-and-context-2103.11318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/language-agnostic-representation-learning-of-source-code-from-structure-and-context-2103.11318"/></url>
<url><loc>https://scifaro.com/en/abs/neighbor-embedding-variational-autoencoder-2103.11349</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neighbor-embedding-variational-autoencoder-2103.11349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neighbor-embedding-variational-autoencoder-2103.11349"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-label-noise-via-leave-one-out-cross-validation-2103.11352</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-label-noise-via-leave-one-out-cross-validation-2103.11352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-label-noise-via-leave-one-out-cross-validation-2103.11352"/></url>
<url><loc>https://scifaro.com/en/abs/online-strongly-convex-optimization-with-unknown-delays-2103.11354</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-strongly-convex-optimization-with-unknown-delays-2103.11354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-strongly-convex-optimization-with-unknown-delays-2103.11354"/></url>
<url><loc>https://scifaro.com/en/abs/online-convex-optimization-with-continuous-switching-constraint-2103.11370</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-convex-optimization-with-continuous-switching-constraint-2103.11370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-convex-optimization-with-continuous-switching-constraint-2103.11370"/></url>
<url><loc>https://scifaro.com/en/abs/progressivespinalnet-architecture-for-fc-layers-2103.11373</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progressivespinalnet-architecture-for-fc-layers-2103.11373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progressivespinalnet-architecture-for-fc-layers-2103.11373"/></url>
<url><loc>https://scifaro.com/en/abs/deepened-graph-auto-encoders-help-stabilize-and-enhance-link-prediction-2103.11414</loc><lastmod>2022-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepened-graph-auto-encoders-help-stabilize-and-enhance-link-prediction-2103.11414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepened-graph-auto-encoders-help-stabilize-and-enhance-link-prediction-2103.11414"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-discovery-in-surveys-using-machine-learning-a-case-study-of-women-in-entrepreneurship-in-uae-2103.11430</loc><lastmod>2024-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-discovery-in-surveys-using-machine-learning-a-case-study-of-women-in-entrepreneurship-in-uae-2103.11430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-discovery-in-surveys-using-machine-learning-a-case-study-of-women-in-entrepreneurship-in-uae-2103.11430"/></url>
<url><loc>https://scifaro.com/en/abs/support-vector-regression-parameters-optimization-using-golden-sine-algorithm-and-its-application-in-stock-market-2103.11459</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-vector-regression-parameters-optimization-using-golden-sine-algorithm-and-its-application-in-stock-market-2103.11459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-vector-regression-parameters-optimization-using-golden-sine-algorithm-and-its-application-in-stock-market-2103.11459"/></url>
<url><loc>https://scifaro.com/en/abs/ucb-based-algorithms-for-multinomial-logistic-regression-bandits-2103.11489</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ucb-based-algorithms-for-multinomial-logistic-regression-bandits-2103.11489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ucb-based-algorithms-for-multinomial-logistic-regression-bandits-2103.11489"/></url>
<url><loc>https://scifaro.com/en/abs/homophily-outlier-detection-in-non-iid-categorical-data-2103.11516</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/homophily-outlier-detection-in-non-iid-categorical-data-2103.11516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/homophily-outlier-detection-in-non-iid-categorical-data-2103.11516"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-frechet-inception-distance-2103.11521</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-frechet-inception-distance-2103.11521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-frechet-inception-distance-2103.11521"/></url>
<url><loc>https://scifaro.com/en/abs/exad-an-ensemble-approach-for-explanation-based-adversarial-detection-2103.11526</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exad-an-ensemble-approach-for-explanation-based-adversarial-detection-2103.11526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exad-an-ensemble-approach-for-explanation-based-adversarial-detection-2103.11526"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-design-sample-and-computationally-efficient-vqa-models-2103.11537</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-design-sample-and-computationally-efficient-vqa-models-2103.11537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-design-sample-and-computationally-efficient-vqa-models-2103.11537"/></url>
<url><loc>https://scifaro.com/en/abs/smart-scheduling-based-on-deep-reinforcement-learning-for-cellular-networks-2103.11542</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smart-scheduling-based-on-deep-reinforcement-learning-for-cellular-networks-2103.11542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smart-scheduling-based-on-deep-reinforcement-learning-for-cellular-networks-2103.11542"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-neural-tangent-kernel-a-generalized-and-improved-network-induced-kernel-2103.11558</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-neural-tangent-kernel-a-generalized-and-improved-network-induced-kernel-2103.11558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-neural-tangent-kernel-a-generalized-and-improved-network-induced-kernel-2103.11558"/></url>
<url><loc>https://scifaro.com/en/abs/provably-correct-optimization-and-exploration-with-non-linear-policies-2103.11559</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-correct-optimization-and-exploration-with-non-linear-policies-2103.11559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-correct-optimization-and-exploration-with-non-linear-policies-2103.11559"/></url>
<url><loc>https://scifaro.com/en/abs/grey-box-adversarial-attack-and-defence-for-sentiment-classification-2103.11576</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grey-box-adversarial-attack-and-defence-for-sentiment-classification-2103.11576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grey-box-adversarial-attack-and-defence-for-sentiment-classification-2103.11576"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-optimized-mixup-for-robust-classification-2103.11589</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-optimized-mixup-for-robust-classification-2103.11589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-optimized-mixup-for-robust-classification-2103.11589"/></url>
<url><loc>https://scifaro.com/en/abs/ast2vec-utilizing-recursive-neural-encodings-of-python-programs-2103.11614</loc><lastmod>2022-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ast2vec-utilizing-recursive-neural-encodings-of-python-programs-2103.11614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ast2vec-utilizing-recursive-neural-encodings-of-python-programs-2103.11614"/></url>
<url><loc>https://scifaro.com/en/abs/server-averaging-for-federated-learning-2103.11619</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/server-averaging-for-federated-learning-2103.11619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/server-averaging-for-federated-learning-2103.11619"/></url>
<url><loc>https://scifaro.com/en/abs/d3p-a-python-package-for-differentially-private-probabilistic-programming-2103.11648</loc><lastmod>2022-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/d3p-a-python-package-for-differentially-private-probabilistic-programming-2103.11648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/d3p-a-python-package-for-differentially-private-probabilistic-programming-2103.11648"/></url>
<url><loc>https://scifaro.com/en/abs/learning-physical-properties-of-anomalous-random-walks-using-graph-neural-networks-2103.11738</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-physical-properties-of-anomalous-random-walks-using-graph-neural-networks-2103.11738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-physical-properties-of-anomalous-random-walks-using-graph-neural-networks-2103.11738"/></url>
<url><loc>https://scifaro.com/en/abs/catastrophic-forgetting-in-deep-graph-networks-an-introductory-benchmark-for-graph-classification-2103.11750</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/catastrophic-forgetting-in-deep-graph-networks-an-introductory-benchmark-for-graph-classification-2103.11750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/catastrophic-forgetting-in-deep-graph-networks-an-introductory-benchmark-for-graph-classification-2103.11750"/></url>
<url><loc>https://scifaro.com/en/abs/fixes-that-fail-self-defeating-improvements-in-machine-learning-systems-2103.11766</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixes-that-fail-self-defeating-improvements-in-machine-learning-systems-2103.11766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixes-that-fail-self-defeating-improvements-in-machine-learning-systems-2103.11766"/></url>
<url><loc>https://scifaro.com/en/abs/computationally-efficient-learning-of-statistical-manifolds-2103.11773</loc><lastmod>2022-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computationally-efficient-learning-of-statistical-manifolds-2103.11773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computationally-efficient-learning-of-statistical-manifolds-2103.11773"/></url>
<url><loc>https://scifaro.com/en/abs/clustered-hierarchical-anomaly-and-outlier-detection-algorithms-2103.11774</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustered-hierarchical-anomaly-and-outlier-detection-algorithms-2103.11774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustered-hierarchical-anomaly-and-outlier-detection-algorithms-2103.11774"/></url>
<url><loc>https://scifaro.com/en/abs/entangled-q-convolutional-neural-nets-2103.11785</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entangled-q-convolutional-neural-nets-2103.11785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entangled-q-convolutional-neural-nets-2103.11785"/></url>
<url><loc>https://scifaro.com/en/abs/forest-fire-clustering-for-single-cell-sequencing-with-iterative-label-propagation-and-parallelized-monte-carlo-simulation-2103.11802</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forest-fire-clustering-for-single-cell-sequencing-with-iterative-label-propagation-and-parallelized-monte-carlo-simulation-2103.11802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forest-fire-clustering-for-single-cell-sequencing-with-iterative-label-propagation-and-parallelized-monte-carlo-simulation-2103.11802"/></url>
<url><loc>https://scifaro.com/en/abs/detection-of-fake-news-on-covid-19-on-web-search-engines-2103.11804</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-of-fake-news-on-covid-19-on-web-search-engines-2103.11804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-of-fake-news-on-covid-19-on-web-search-engines-2103.11804"/></url>
<url><loc>https://scifaro.com/en/abs/data-cleansing-for-deep-neural-networks-with-storage-efficient-approximation-of-influence-functions-2103.11807</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-cleansing-for-deep-neural-networks-with-storage-efficient-approximation-of-influence-functions-2103.11807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-cleansing-for-deep-neural-networks-with-storage-efficient-approximation-of-influence-functions-2103.11807"/></url>
<url><loc>https://scifaro.com/en/abs/gpnas-a-neural-network-architecture-search-framework-based-on-graphical-predictor-2103.11820</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gpnas-a-neural-network-architecture-search-framework-based-on-graphical-predictor-2103.11820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gpnas-a-neural-network-architecture-search-framework-based-on-graphical-predictor-2103.11820"/></url>
<url><loc>https://scifaro.com/en/abs/big-data-for-traffic-estimation-and-prediction-a-survey-of-data-and-tools-2103.11824</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/big-data-for-traffic-estimation-and-prediction-a-survey-of-data-and-tools-2103.11824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/big-data-for-traffic-estimation-and-prediction-a-survey-of-data-and-tools-2103.11824"/></url>
<url><loc>https://scifaro.com/en/abs/from-digital-humanities-to-quantum-humanities-potentials-and-applications-2103.11825</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-digital-humanities-to-quantum-humanities-potentials-and-applications-2103.11825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-digital-humanities-to-quantum-humanities-potentials-and-applications-2103.11825"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-simulate-on-sparse-trajectory-data-2103.11845</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-simulate-on-sparse-trajectory-data-2103.11845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-simulate-on-sparse-trajectory-data-2103.11845"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-racial-bias-in-jury-selection-2103.11852</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-racial-bias-in-jury-selection-2103.11852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-racial-bias-in-jury-selection-2103.11852"/></url>
<url><loc>https://scifaro.com/en/abs/a-link-between-coding-theory-and-cross-validation-with-applications-2103.11856</loc><lastmod>2024-02-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-link-between-coding-theory-and-cross-validation-with-applications-2103.11856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-link-between-coding-theory-and-cross-validation-with-applications-2103.11856"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-neural-network-for-fitting-and-forecasting-covid-19-2103.11860</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-neural-network-for-fitting-and-forecasting-covid-19-2103.11860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-neural-network-for-fitting-and-forecasting-covid-19-2103.11860"/></url>
<url><loc>https://scifaro.com/en/abs/recovery-of-joint-probability-distribution-from-one-way-marginals-low-rank-tensors-and-random-projections-2103.11864</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovery-of-joint-probability-distribution-from-one-way-marginals-low-rank-tensors-and-random-projections-2103.11864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovery-of-joint-probability-distribution-from-one-way-marginals-low-rank-tensors-and-random-projections-2103.11864"/></url>
<url><loc>https://scifaro.com/en/abs/a-federated-learning-framework-for-smart-grids-securing-power-traces-in-collaborative-learning-2103.11870</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-federated-learning-framework-for-smart-grids-securing-power-traces-in-collaborative-learning-2103.11870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-federated-learning-framework-for-smart-grids-securing-power-traces-in-collaborative-learning-2103.11870"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-end-to-end-federated-learning-an-automotive-case-study-2103.11879</loc><lastmod>2022-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-end-to-end-federated-learning-an-automotive-case-study-2103.11879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-end-to-end-federated-learning-an-automotive-case-study-2103.11879"/></url>
<url><loc>https://scifaro.com/en/abs/generating-adversarial-computer-programs-using-optimized-obfuscations-2103.11882</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-adversarial-computer-programs-using-optimized-obfuscations-2103.11882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-adversarial-computer-programs-using-optimized-obfuscations-2103.11882"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-softmax-deep-multi-agent-q-learning-2103.11883</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-softmax-deep-multi-agent-q-learning-2103.11883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-softmax-deep-multi-agent-q-learning-2103.11883"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-recovery-of-semantic-attributes-2103.11888</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-recovery-of-semantic-attributes-2103.11888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-recovery-of-semantic-attributes-2103.11888"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-post-training-compression-in-gans-using-locality-sensitive-hashing-2103.11912</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-post-training-compression-in-gans-using-locality-sensitive-hashing-2103.11912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-post-training-compression-in-gans-using-locality-sensitive-hashing-2103.11912"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-emulation-of-3d-cloud-radiative-effects-2103.11919</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-emulation-of-3d-cloud-radiative-effects-2103.11919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-emulation-of-3d-cloud-radiative-effects-2103.11919"/></url>
<url><loc>https://scifaro.com/en/abs/hardware-acceleration-of-explainable-machine-learning-using-tensor-processing-units-2103.11927</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hardware-acceleration-of-explainable-machine-learning-using-tensor-processing-units-2103.11927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hardware-acceleration-of-explainable-machine-learning-using-tensor-processing-units-2103.11927"/></url>
<url><loc>https://scifaro.com/en/abs/enhanced-principal-component-analysis-under-a-collaborative-robust-framework-2103.11931</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhanced-principal-component-analysis-under-a-collaborative-robust-framework-2103.11931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhanced-principal-component-analysis-under-a-collaborative-robust-framework-2103.11931"/></url>
<url><loc>https://scifaro.com/en/abs/patentsberta-a-deep-nlp-based-hybrid-model-for-patent-distance-and-classification-using-augmented-sbert-2103.11933</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/patentsberta-a-deep-nlp-based-hybrid-model-for-patent-distance-and-classification-using-augmented-sbert-2103.11933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/patentsberta-a-deep-nlp-based-hybrid-model-for-patent-distance-and-classification-using-augmented-sbert-2103.11933"/></url>
<url><loc>https://scifaro.com/en/abs/the-implications-of-the-no-free-lunch-theorems-for-meta-induction-2103.11956</loc><lastmod>2022-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-implications-of-the-no-free-lunch-theorems-for-meta-induction-2103.11956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-implications-of-the-no-free-lunch-theorems-for-meta-induction-2103.11956"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-robustness-of-monte-carlo-dropout-trained-with-noisy-labels-2103.12002</loc><lastmod>2021-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-robustness-of-monte-carlo-dropout-trained-with-noisy-labels-2103.12002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-robustness-of-monte-carlo-dropout-trained-with-noisy-labels-2103.12002"/></url>
<url><loc>https://scifaro.com/en/abs/improving-actor-critic-reinforcement-learning-via-hamiltonian-monte-carlo-method-2103.12020</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-actor-critic-reinforcement-learning-via-hamiltonian-monte-carlo-method-2103.12020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-actor-critic-reinforcement-learning-via-hamiltonian-monte-carlo-method-2103.12020"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-offline-reinforcement-learning-and-imitation-learning-a-tale-of-pessimism-2103.12021</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-offline-reinforcement-learning-and-imitation-learning-a-tale-of-pessimism-2103.12021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-offline-reinforcement-learning-and-imitation-learning-a-tale-of-pessimism-2103.12021"/></url>
<url><loc>https://scifaro.com/en/abs/stability-and-deviation-optimal-risk-bounds-with-convergence-rate-o-1-n-2103.12024</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-and-deviation-optimal-risk-bounds-with-convergence-rate-o-1-n-2103.12024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-and-deviation-optimal-risk-bounds-with-convergence-rate-o-1-n-2103.12024"/></url>
<url><loc>https://scifaro.com/en/abs/an-experimental-review-on-deep-learning-architectures-for-time-series-forecasting-2103.12057</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-experimental-review-on-deep-learning-architectures-for-time-series-forecasting-2103.12057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-experimental-review-on-deep-learning-architectures-for-time-series-forecasting-2103.12057"/></url>
<url><loc>https://scifaro.com/en/abs/exemplars-can-reciprocate-principal-components-2103.12069</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exemplars-can-reciprocate-principal-components-2103.12069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exemplars-can-reciprocate-principal-components-2103.12069"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-robustly-negotiate-bi-directional-lane-usage-in-high-conflict-driving-scenarios-2103.12070</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-robustly-negotiate-bi-directional-lane-usage-in-high-conflict-driving-scenarios-2103.12070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-robustly-negotiate-bi-directional-lane-usage-in-high-conflict-driving-scenarios-2103.12070"/></url>
<url><loc>https://scifaro.com/en/abs/selective-information-exchange-in-collaborative-clustering-using-regularized-optimal-transport-2103.12071</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-information-exchange-in-collaborative-clustering-using-regularized-optimal-transport-2103.12071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-information-exchange-in-collaborative-clustering-using-regularized-optimal-transport-2103.12071"/></url>
<url><loc>https://scifaro.com/en/abs/am-i-fit-for-this-physical-activity-neural-embedding-of-physical-conditioning-from-inertial-sensors-2103.12095</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/am-i-fit-for-this-physical-activity-neural-embedding-of-physical-conditioning-from-inertial-sensors-2103.12095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/am-i-fit-for-this-physical-activity-neural-embedding-of-physical-conditioning-from-inertial-sensors-2103.12095"/></url>
<url><loc>https://scifaro.com/en/abs/performance-bounds-for-neural-network-estimators-applications-in-fault-detection-2103.12141</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-bounds-for-neural-network-estimators-applications-in-fault-detection-2103.12141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-bounds-for-neural-network-estimators-applications-in-fault-detection-2103.12141"/></url>
<url><loc>https://scifaro.com/en/abs/combining-reward-information-from-multiple-sources-2103.12142</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-reward-information-from-multiple-sources-2103.12142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-reward-information-from-multiple-sources-2103.12142"/></url>
<url><loc>https://scifaro.com/en/abs/edge-intelligence-for-empowering-iot-based-healthcare-systems-2103.12144</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edge-intelligence-for-empowering-iot-based-healthcare-systems-2103.12144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edge-intelligence-for-empowering-iot-based-healthcare-systems-2103.12144"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-finite-memory-q-learning-for-pomdps-and-near-optimality-of-learned-policies-under-filter-stability-2103.12158</loc><lastmod>2022-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-finite-memory-q-learning-for-pomdps-and-near-optimality-of-learned-policies-under-filter-stability-2103.12158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-finite-memory-q-learning-for-pomdps-and-near-optimality-of-learned-policies-under-filter-stability-2103.12158"/></url>
<url><loc>https://scifaro.com/en/abs/automated-and-autonomous-experiment-in-electron-and-scanning-probe-microscopy-2103.12165</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-and-autonomous-experiment-in-electron-and-scanning-probe-microscopy-2103.12165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-and-autonomous-experiment-in-electron-and-scanning-probe-microscopy-2103.12165"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-feature-augmentation-and-normalization-for-visual-recognition-2103.12171</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-feature-augmentation-and-normalization-for-visual-recognition-2103.12171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-feature-augmentation-and-normalization-for-visual-recognition-2103.12171"/></url>
<url><loc>https://scifaro.com/en/abs/energy-disaggregation-using-variational-autoencoders-2103.12177</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-disaggregation-using-variational-autoencoders-2103.12177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-disaggregation-using-variational-autoencoders-2103.12177"/></url>
<url><loc>https://scifaro.com/en/abs/online-baum-welch-algorithm-for-hierarchical-imitation-learning-2103.12197</loc><lastmod>2022-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-baum-welch-algorithm-for-hierarchical-imitation-learning-2103.12197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-baum-welch-algorithm-for-hierarchical-imitation-learning-2103.12197"/></url>
<url><loc>https://scifaro.com/en/abs/challenges-in-statistical-analysis-of-data-collected-by-a-bandit-algorithm-an-empirical-exploration-in-applications-to-adaptively-randomized-experiments-2103.12198</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-in-statistical-analysis-of-data-collected-by-a-bandit-algorithm-an-empirical-exploration-in-applications-to-adaptively-randomized-experiments-2103.12198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-in-statistical-analysis-of-data-collected-by-a-bandit-algorithm-an-empirical-exploration-in-applications-to-adaptively-randomized-experiments-2103.12198"/></url>
<url><loc>https://scifaro.com/en/abs/explainability-relevance-based-dynamic-deep-learning-algorithm-for-fault-detection-and-diagnosis-in-chemical-processes-2103.12222</loc><lastmod>2022-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainability-relevance-based-dynamic-deep-learning-algorithm-for-fault-detection-and-diagnosis-in-chemical-processes-2103.12222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainability-relevance-based-dynamic-deep-learning-algorithm-for-fault-detection-and-diagnosis-in-chemical-processes-2103.12222"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-importance-sampling-for-finite-sum-optimization-and-sampling-with-decreasing-step-sizes-2103.12243</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-importance-sampling-for-finite-sum-optimization-and-sampling-with-decreasing-step-sizes-2103.12243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-importance-sampling-for-finite-sum-optimization-and-sampling-with-decreasing-step-sizes-2103.12243"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-enhanced-multifidelity-neural-networks-for-high-dimensional-function-approximation-2103.12247</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-enhanced-multifidelity-neural-networks-for-high-dimensional-function-approximation-2103.12247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-enhanced-multifidelity-neural-networks-for-high-dimensional-function-approximation-2103.12247"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-sparsification-for-general-robust-graph-convolution-networks-2103.12256</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-sparsification-for-general-robust-graph-convolution-networks-2103.12256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-sparsification-for-general-robust-graph-convolution-networks-2103.12256"/></url>
<url><loc>https://scifaro.com/en/abs/drop-bottleneck-learning-discrete-compressed-representation-for-noise-robust-exploration-2103.12300</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drop-bottleneck-learning-discrete-compressed-representation-for-noise-robust-exploration-2103.12300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drop-bottleneck-learning-discrete-compressed-representation-for-noise-robust-exploration-2103.12300"/></url>
<url><loc>https://scifaro.com/en/abs/iaia-bl-a-case-based-interpretable-deep-learning-model-for-classification-of-mass-lesions-in-digital-mammography-2103.12308</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iaia-bl-a-case-based-interpretable-deep-learning-model-for-classification-of-mass-lesions-in-digital-mammography-2103.12308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iaia-bl-a-case-based-interpretable-deep-learning-model-for-classification-of-mass-lesions-in-digital-mammography-2103.12308"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-reasoning-in-neural-networks-2103.12329</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-reasoning-in-neural-networks-2103.12329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-reasoning-in-neural-networks-2103.12329"/></url>
<url><loc>https://scifaro.com/en/abs/joint-distribution-across-representation-space-for-out-of-distribution-detection-2103.12344</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-distribution-across-representation-space-for-out-of-distribution-detection-2103.12344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-distribution-across-representation-space-for-out-of-distribution-detection-2103.12344"/></url>
<url><loc>https://scifaro.com/en/abs/recu-reviving-the-dead-weights-in-binary-neural-networks-2103.12369</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recu-reviving-the-dead-weights-in-binary-neural-networks-2103.12369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recu-reviving-the-dead-weights-in-binary-neural-networks-2103.12369"/></url>
<url><loc>https://scifaro.com/en/abs/the-hammer-and-the-nut-is-bilevel-optimization-really-needed-to-poison-linear-classifiers-2103.12399</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-hammer-and-the-nut-is-bilevel-optimization-really-needed-to-poison-linear-classifiers-2103.12399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-hammer-and-the-nut-is-bilevel-optimization-really-needed-to-poison-linear-classifiers-2103.12399"/></url>
<url><loc>https://scifaro.com/en/abs/neural-ode-processes-2103.12413</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-ode-processes-2103.12413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-ode-processes-2103.12413"/></url>
<url><loc>https://scifaro.com/en/abs/volume-centred-range-bars-novel-interpretable-representation-of-financial-markets-designed-for-machine-learning-applications-2103.12419</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/volume-centred-range-bars-novel-interpretable-representation-of-financial-markets-designed-for-machine-learning-applications-2103.12419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/volume-centred-range-bars-novel-interpretable-representation-of-financial-markets-designed-for-machine-learning-applications-2103.12419"/></url>
<url><loc>https://scifaro.com/en/abs/deep-kkl-data-driven-output-prediction-for-non-linear-systems-2103.12443</loc><lastmod>2022-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-kkl-data-driven-output-prediction-for-non-linear-systems-2103.12443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-kkl-data-driven-output-prediction-for-non-linear-systems-2103.12443"/></url>
<url><loc>https://scifaro.com/en/abs/bandits-with-many-optimal-arms-2103.12452</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandits-with-many-optimal-arms-2103.12452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandits-with-many-optimal-arms-2103.12452"/></url>
<url><loc>https://scifaro.com/en/abs/health-status-prediction-with-local-global-heterogeneous-behavior-graph-2103.12456</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/health-status-prediction-with-local-global-heterogeneous-behavior-graph-2103.12456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/health-status-prediction-with-local-global-heterogeneous-behavior-graph-2103.12456"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-deep-learning-pipelines-for-accurate-cost-estimations-over-large-scale-query-workload-2103.12465</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-deep-learning-pipelines-for-accurate-cost-estimations-over-large-scale-query-workload-2103.12465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-deep-learning-pipelines-for-accurate-cost-estimations-over-large-scale-query-workload-2103.12465"/></url>
<url><loc>https://scifaro.com/en/abs/applying-graph-matching-techniques-to-enhance-reuse-of-plant-design-information-2103.12466</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-graph-matching-techniques-to-enhance-reuse-of-plant-design-information-2103.12466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-graph-matching-techniques-to-enhance-reuse-of-plant-design-information-2103.12466"/></url>
<url><loc>https://scifaro.com/en/abs/attention-based-neural-re-ranking-approach-for-next-city-in-trip-recommendations-2103.12475</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-based-neural-re-ranking-approach-for-next-city-in-trip-recommendations-2103.12475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-based-neural-re-ranking-approach-for-next-city-in-trip-recommendations-2103.12475"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-agent-based-simulation-for-gradient-guided-simulation-based-optimization-2103.12476</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-agent-based-simulation-for-gradient-guided-simulation-based-optimization-2103.12476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-agent-based-simulation-for-gradient-guided-simulation-based-optimization-2103.12476"/></url>
<url><loc>https://scifaro.com/en/abs/improved-analysis-of-the-tsallis-inf-algorithm-in-stochastically-constrained-adversarial-bandits-and-stochastic-bandits-with-adversarial-corruptions-2103.12487</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-analysis-of-the-tsallis-inf-algorithm-in-stochastically-constrained-adversarial-bandits-and-stochastic-bandits-with-adversarial-corruptions-2103.12487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-analysis-of-the-tsallis-inf-algorithm-in-stochastically-constrained-adversarial-bandits-and-stochastic-bandits-with-adversarial-corruptions-2103.12487"/></url>
<url><loc>https://scifaro.com/en/abs/expanding-semantic-knowledge-for-zero-shot-graph-embedding-2103.12491</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expanding-semantic-knowledge-for-zero-shot-graph-embedding-2103.12491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expanding-semantic-knowledge-for-zero-shot-graph-embedding-2103.12491"/></url>
<url><loc>https://scifaro.com/en/abs/initializing-relu-networks-in-an-expressive-subspace-of-weights-2103.12499</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/initializing-relu-networks-in-an-expressive-subspace-of-weights-2103.12499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/initializing-relu-networks-in-an-expressive-subspace-of-weights-2103.12499"/></url>
<url><loc>https://scifaro.com/en/abs/on-gray-box-modeling-for-virtual-flow-metering-2103.12513</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-gray-box-modeling-for-virtual-flow-metering-2103.12513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-gray-box-modeling-for-virtual-flow-metering-2103.12513"/></url>
<url><loc>https://scifaro.com/en/abs/clip-cheap-lipschitz-training-of-neural-networks-2103.12531</loc><lastmod>2022-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clip-cheap-lipschitz-training-of-neural-networks-2103.12531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clip-cheap-lipschitz-training-of-neural-networks-2103.12531"/></url>
<url><loc>https://scifaro.com/en/abs/balanced-softmax-cross-entropy-for-incremental-learning-with-and-without-memory-2103.12532</loc><lastmod>2022-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balanced-softmax-cross-entropy-for-incremental-learning-with-and-without-memory-2103.12532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balanced-softmax-cross-entropy-for-incremental-learning-with-and-without-memory-2103.12532"/></url>
<url><loc>https://scifaro.com/en/abs/uncovering-dominant-features-in-short-term-power-load-forecasting-based-on-multi-source-feature-2103.12534</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncovering-dominant-features-in-short-term-power-load-forecasting-based-on-multi-source-feature-2103.12534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncovering-dominant-features-in-short-term-power-load-forecasting-based-on-multi-source-feature-2103.12534"/></url>
<url><loc>https://scifaro.com/en/abs/nnrepair-constraint-based-repair-of-neural-network-classifiers-2103.12535</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nnrepair-constraint-based-repair-of-neural-network-classifiers-2103.12535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nnrepair-constraint-based-repair-of-neural-network-classifiers-2103.12535"/></url>
<url><loc>https://scifaro.com/en/abs/boxhed2-0-scalable-boosting-of-dynamic-survival-analysis-2103.12591</loc><lastmod>2023-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boxhed2-0-scalable-boosting-of-dynamic-survival-analysis-2103.12591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boxhed2-0-scalable-boosting-of-dynamic-survival-analysis-2103.12591"/></url>
<url><loc>https://scifaro.com/en/abs/dig-a-turnkey-library-for-diving-into-graph-deep-learning-research-2103.12608</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dig-a-turnkey-library-for-diving-into-graph-deep-learning-research-2103.12608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dig-a-turnkey-library-for-diving-into-graph-deep-learning-research-2103.12608"/></url>
<url><loc>https://scifaro.com/en/abs/genetic-column-generation-fast-computation-of-high-dimensional-multi-marginal-optimal-transport-problems-2103.12624</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/genetic-column-generation-fast-computation-of-high-dimensional-multi-marginal-optimal-transport-problems-2103.12624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/genetic-column-generation-fast-computation-of-high-dimensional-multi-marginal-optimal-transport-problems-2103.12624"/></url>
<url><loc>https://scifaro.com/en/abs/are-all-outliers-alike-on-understanding-the-diversity-of-outliers-for-detecting-oods-2103.12628</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-all-outliers-alike-on-understanding-the-diversity-of-outliers-for-detecting-oods-2103.12628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-all-outliers-alike-on-understanding-the-diversity-of-outliers-for-detecting-oods-2103.12628"/></url>
<url><loc>https://scifaro.com/en/abs/pairwise-adjusted-mutual-information-2103.12641</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pairwise-adjusted-mutual-information-2103.12641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pairwise-adjusted-mutual-information-2103.12641"/></url>
<url><loc>https://scifaro.com/en/abs/replacing-rewards-with-examples-example-based-policy-search-via-recursive-classification-2103.12656</loc><lastmod>2022-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/replacing-rewards-with-examples-example-based-policy-search-via-recursive-classification-2103.12656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/replacing-rewards-with-examples-example-based-policy-search-via-recursive-classification-2103.12656"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-decay-your-learning-rate-2103.12682</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-decay-your-learning-rate-2103.12682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-decay-your-learning-rate-2103.12682"/></url>
<url><loc>https://scifaro.com/en/abs/generative-minimization-networks-training-gans-without-competition-2103.12685</loc><lastmod>2021-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-minimization-networks-training-gans-without-competition-2103.12685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-minimization-networks-training-gans-without-competition-2103.12685"/></url>
<url><loc>https://scifaro.com/en/abs/pac-learning-gains-of-turing-machines-over-circuits-and-neural-networks-2103.12686</loc><lastmod>2022-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-learning-gains-of-turing-machines-over-circuits-and-neural-networks-2103.12686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-learning-gains-of-turing-machines-over-circuits-and-neural-networks-2103.12686"/></url>
<url><loc>https://scifaro.com/en/abs/an-exponential-lower-bound-for-linearly-realizable-mdps-with-constant-suboptimality-gap-2103.12690</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-exponential-lower-bound-for-linearly-realizable-mdps-with-constant-suboptimality-gap-2103.12690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-exponential-lower-bound-for-linearly-realizable-mdps-with-constant-suboptimality-gap-2103.12690"/></url>
<url><loc>https://scifaro.com/en/abs/benign-overfitting-of-constant-stepsize-sgd-for-linear-regression-2103.12692</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benign-overfitting-of-constant-stepsize-sgd-for-linear-regression-2103.12692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benign-overfitting-of-constant-stepsize-sgd-for-linear-regression-2103.12692"/></url>
<url><loc>https://scifaro.com/en/abs/meta-adversarial-inverse-reinforcement-learning-for-decision-making-tasks-2103.12694</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-adversarial-inverse-reinforcement-learning-for-decision-making-tasks-2103.12694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-adversarial-inverse-reinforcement-learning-for-decision-making-tasks-2103.12694"/></url>
<url><loc>https://scifaro.com/en/abs/promoting-fairness-through-hyperparameter-optimization-2103.12715</loc><lastmod>2022-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/promoting-fairness-through-hyperparameter-optimization-2103.12715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/promoting-fairness-through-hyperparameter-optimization-2103.12715"/></url>
<url><loc>https://scifaro.com/en/abs/policy-information-capacity-information-theoretic-measure-for-task-complexity-in-deep-reinforcement-learning-2103.12726</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-information-capacity-information-theoretic-measure-for-task-complexity-in-deep-reinforcement-learning-2103.12726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-information-capacity-information-theoretic-measure-for-task-complexity-in-deep-reinforcement-learning-2103.12726"/></url>
<url><loc>https://scifaro.com/en/abs/variable-name-recovery-in-decompiled-binary-code-using-constrained-masked-language-modeling-2103.12801</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variable-name-recovery-in-decompiled-binary-code-using-constrained-masked-language-modeling-2103.12801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variable-name-recovery-in-decompiled-binary-code-using-constrained-masked-language-modeling-2103.12801"/></url>
<url><loc>https://scifaro.com/en/abs/jfb-jacobian-free-backpropagation-for-implicit-networks-2103.12803</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jfb-jacobian-free-backpropagation-for-implicit-networks-2103.12803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jfb-jacobian-free-backpropagation-for-implicit-networks-2103.12803"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-novelty-detection-capabilities-with-msl-mastcam-operations-to-enhance-data-analysis-2103.12815</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-novelty-detection-capabilities-with-msl-mastcam-operations-to-enhance-data-analysis-2103.12815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-novelty-detection-capabilities-with-msl-mastcam-operations-to-enhance-data-analysis-2103.12815"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-micro-fractures-a-comprehensive-comparison-of-conventional-and-machine-learning-based-segmentation-methods-2103.12821</loc><lastmod>2022-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-micro-fractures-a-comprehensive-comparison-of-conventional-and-machine-learning-based-segmentation-methods-2103.12821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-micro-fractures-a-comprehensive-comparison-of-conventional-and-machine-learning-based-segmentation-methods-2103.12821"/></url>
<url><loc>https://scifaro.com/en/abs/fisher-task-distance-and-its-application-in-neural-architecture-search-2103.12827</loc><lastmod>2022-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fisher-task-distance-and-its-application-in-neural-architecture-search-2103.12827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fisher-task-distance-and-its-application-in-neural-architecture-search-2103.12827"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-in-budget-constrained-dynamic-colonel-blotto-games-2103.12833</loc><lastmod>2023-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-in-budget-constrained-dynamic-colonel-blotto-games-2103.12833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-in-budget-constrained-dynamic-colonel-blotto-games-2103.12833"/></url>
<url><loc>https://scifaro.com/en/abs/embracing-the-disharmony-in-medical-imaging-a-simple-and-effective-framework-for-domain-adaptation-2103.12857</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embracing-the-disharmony-in-medical-imaging-a-simple-and-effective-framework-for-domain-adaptation-2103.12857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embracing-the-disharmony-in-medical-imaging-a-simple-and-effective-framework-for-domain-adaptation-2103.12857"/></url>
<url><loc>https://scifaro.com/en/abs/a-high-order-tuner-for-accelerated-learning-and-control-2103.12868</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-high-order-tuner-for-accelerated-learning-and-control-2103.12868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-high-order-tuner-for-accelerated-learning-and-control-2103.12868"/></url>
<url><loc>https://scifaro.com/en/abs/using-meta-learning-to-recommend-process-discovery-methods-2103.12874</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-meta-learning-to-recommend-process-discovery-methods-2103.12874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-meta-learning-to-recommend-process-discovery-methods-2103.12874"/></url>
<url><loc>https://scifaro.com/en/abs/improved-estimation-of-concentration-under-ell-p-norm-distance-metrics-using-half-spaces-2103.12913</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-estimation-of-concentration-under-ell-p-norm-distance-metrics-using-half-spaces-2103.12913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-estimation-of-concentration-under-ell-p-norm-distance-metrics-using-half-spaces-2103.12913"/></url>
<url><loc>https://scifaro.com/en/abs/cautiously-optimistic-policy-optimization-and-exploration-with-linear-function-approximation-2103.12923</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cautiously-optimistic-policy-optimization-and-exploration-with-linear-function-approximation-2103.12923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cautiously-optimistic-policy-optimization-and-exploration-with-linear-function-approximation-2103.12923"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learned-invariant-risk-minimization-2103.12947</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learned-invariant-risk-minimization-2103.12947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learned-invariant-risk-minimization-2103.12947"/></url>
<url><loc>https://scifaro.com/en/abs/supporting-clustering-with-contrastive-learning-2103.12953</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supporting-clustering-with-contrastive-learning-2103.12953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supporting-clustering-with-contrastive-learning-2103.12953"/></url>
<url><loc>https://scifaro.com/en/abs/a-vae-bayesian-deep-learning-scheme-for-solar-generation-forecasting-based-on-dimensionality-reduction-2103.12969</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-vae-bayesian-deep-learning-scheme-for-solar-generation-forecasting-based-on-dimensionality-reduction-2103.12969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-vae-bayesian-deep-learning-scheme-for-solar-generation-forecasting-based-on-dimensionality-reduction-2103.12969"/></url>
<url><loc>https://scifaro.com/en/abs/including-sparse-production-knowledge-into-variational-autoencoders-to-increase-anomaly-detection-reliability-2103.12998</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/including-sparse-production-knowledge-into-variational-autoencoders-to-increase-anomaly-detection-reliability-2103.12998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/including-sparse-production-knowledge-into-variational-autoencoders-to-increase-anomaly-detection-reliability-2103.12998"/></url>
<url><loc>https://scifaro.com/en/abs/discriminator-augmented-model-based-reinforcement-learning-2103.12999</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminator-augmented-model-based-reinforcement-learning-2103.12999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminator-augmented-model-based-reinforcement-learning-2103.12999"/></url>
<url><loc>https://scifaro.com/en/abs/convex-online-video-frame-subset-selection-using-multiple-criteria-for-data-efficient-autonomous-driving-2103.13021</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-online-video-frame-subset-selection-using-multiple-criteria-for-data-efficient-autonomous-driving-2103.13021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-online-video-frame-subset-selection-using-multiple-criteria-for-data-efficient-autonomous-driving-2103.13021"/></url>
<url><loc>https://scifaro.com/en/abs/the-gradient-convergence-bound-of-federated-multi-agent-reinforcement-learning-with-efficient-communication-2103.13026</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-gradient-convergence-bound-of-federated-multi-agent-reinforcement-learning-with-efficient-communication-2103.13026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-gradient-convergence-bound-of-federated-multi-agent-reinforcement-learning-with-efficient-communication-2103.13026"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-aware-contrastive-molecular-graph-learning-2103.13047</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-aware-contrastive-molecular-graph-learning-2103.13047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-aware-contrastive-molecular-graph-learning-2103.13047"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-regret-for-stochastic-shortest-path-2103.13056</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-regret-for-stochastic-shortest-path-2103.13056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-regret-for-stochastic-shortest-path-2103.13056"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-general-framework-to-embed-advanced-machine-learning-in-process-control-systems-2103.13058</loc><lastmod>2022-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-general-framework-to-embed-advanced-machine-learning-in-process-control-systems-2103.13058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-general-framework-to-embed-advanced-machine-learning-in-process-control-systems-2103.13058"/></url>
<url><loc>https://scifaro.com/en/abs/micro-surgical-anastomose-workflow-recognition-challenge-report-2103.13111</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/micro-surgical-anastomose-workflow-recognition-challenge-report-2103.13111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/micro-surgical-anastomose-workflow-recognition-challenge-report-2103.13111"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graph-representation-by-aggregating-subgraphs-via-mutual-information-maximization-2103.13125</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graph-representation-by-aggregating-subgraphs-via-mutual-information-maximization-2103.13125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graph-representation-by-aggregating-subgraphs-via-mutual-information-maximization-2103.13125"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-collaborative-learning-using-privileged-information-2103.13145</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-collaborative-learning-using-privileged-information-2103.13145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-collaborative-learning-using-privileged-information-2103.13145"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-off-policy-td-learning-finite-time-analysis-with-near-optimal-sample-complexity-and-communication-complexity-2103.13147</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-off-policy-td-learning-finite-time-analysis-with-near-optimal-sample-complexity-and-communication-complexity-2103.13147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-off-policy-td-learning-finite-time-analysis-with-near-optimal-sample-complexity-and-communication-complexity-2103.13147"/></url>
<url><loc>https://scifaro.com/en/abs/on-preference-learning-based-on-sequential-bayesian-optimization-with-pairwise-comparison-2103.13192</loc><lastmod>2023-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-preference-learning-based-on-sequential-bayesian-optimization-with-pairwise-comparison-2103.13192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-preference-learning-based-on-sequential-bayesian-optimization-with-pairwise-comparison-2103.13192"/></url>
<url><loc>https://scifaro.com/en/abs/fastmoe-a-fast-mixture-of-expert-training-system-2103.13262</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fastmoe-a-fast-mixture-of-expert-training-system-2103.13262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fastmoe-a-fast-mixture-of-expert-training-system-2103.13262"/></url>
<url><loc>https://scifaro.com/en/abs/opportunistic-federated-learning-an-exploration-of-egocentric-collaboration-for-pervasive-computing-applications-2103.13266</loc><lastmod>2021-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opportunistic-federated-learning-an-exploration-of-egocentric-collaboration-for-pervasive-computing-applications-2103.13266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opportunistic-federated-learning-an-exploration-of-egocentric-collaboration-for-pervasive-computing-applications-2103.13266"/></url>
<url><loc>https://scifaro.com/en/abs/bag-of-tricks-for-node-classification-with-graph-neural-networks-2103.13355</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bag-of-tricks-for-node-classification-with-graph-neural-networks-2103.13355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bag-of-tricks-for-node-classification-with-graph-neural-networks-2103.13355"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-pareto-front-approximation-for-deep-multi-objective-learning-2103.13392</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-pareto-front-approximation-for-deep-multi-objective-learning-2103.13392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-pareto-front-approximation-for-deep-multi-objective-learning-2103.13392"/></url>
<url><loc>https://scifaro.com/en/abs/active-multitask-learning-with-committees-2103.13420</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-multitask-learning-with-committees-2103.13420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-multitask-learning-with-committees-2103.13420"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-classification-neural-networks-with-hard-logical-constraints-2103.13427</loc><lastmod>2022-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-classification-neural-networks-with-hard-logical-constraints-2103.13427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-classification-neural-networks-with-hard-logical-constraints-2103.13427"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-and-efficient-stochastic-rounding-method-for-training-neural-networks-in-low-precision-2103.13445</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-and-efficient-stochastic-rounding-method-for-training-neural-networks-in-low-precision-2103.13445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-and-efficient-stochastic-rounding-method-for-training-neural-networks-in-low-precision-2103.13445"/></url>
<url><loc>https://scifaro.com/en/abs/modgnn-expert-policy-approximation-in-multi-agent-systems-with-a-modular-graph-neural-network-architecture-2103.13446</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modgnn-expert-policy-approximation-in-multi-agent-systems-with-a-modular-graph-neural-network-architecture-2103.13446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modgnn-expert-policy-approximation-in-multi-agent-systems-with-a-modular-graph-neural-network-architecture-2103.13446"/></url>
<url><loc>https://scifaro.com/en/abs/why-do-local-methods-solve-nonconvex-problems-2103.13462</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-do-local-methods-solve-nonconvex-problems-2103.13462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-do-local-methods-solve-nonconvex-problems-2103.13462"/></url>
<url><loc>https://scifaro.com/en/abs/a-variational-inequality-approach-to-bayesian-regression-games-2103.13509</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variational-inequality-approach-to-bayesian-regression-games-2103.13509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variational-inequality-approach-to-bayesian-regression-games-2103.13509"/></url>
<url><loc>https://scifaro.com/en/abs/addressing-catastrophic-forgetting-for-medical-domain-expansion-2103.13511</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addressing-catastrophic-forgetting-for-medical-domain-expansion-2103.13511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addressing-catastrophic-forgetting-for-medical-domain-expansion-2103.13511"/></url>
<url><loc>https://scifaro.com/en/abs/symmetry-preserving-paths-in-integrated-gradients-2103.13533</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetry-preserving-paths-in-integrated-gradients-2103.13533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetry-preserving-paths-in-integrated-gradients-2103.13533"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-feature-transformations-for-discriminative-and-generative-continual-learning-2103.13558</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-feature-transformations-for-discriminative-and-generative-continual-learning-2103.13558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-feature-transformations-for-discriminative-and-generative-continual-learning-2103.13558"/></url>
<url><loc>https://scifaro.com/en/abs/jointly-modeling-heterogeneous-student-behaviors-and-interactions-among-multiple-prediction-tasks-2103.13565</loc><lastmod>2023-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jointly-modeling-heterogeneous-student-behaviors-and-interactions-among-multiple-prediction-tasks-2103.13565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jointly-modeling-heterogeneous-student-behaviors-and-interactions-among-multiple-prediction-tasks-2103.13565"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-instance-dependent-noise-via-instance-confidence-embedding-2103.13569</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-instance-dependent-noise-via-instance-confidence-embedding-2103.13569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-instance-dependent-noise-via-instance-confidence-embedding-2103.13569"/></url>
<url><loc>https://scifaro.com/en/abs/engineering-an-intelligent-essay-scoring-and-feedback-system-an-experience-report-2103.13590</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/engineering-an-intelligent-essay-scoring-and-feedback-system-an-experience-report-2103.13590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/engineering-an-intelligent-essay-scoring-and-feedback-system-an-experience-report-2103.13590"/></url>
<url><loc>https://scifaro.com/en/abs/recent-advances-in-large-margin-learning-2103.13598</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recent-advances-in-large-margin-learning-2103.13598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recent-advances-in-large-margin-learning-2103.13598"/></url>
<url><loc>https://scifaro.com/en/abs/structured-deep-kernel-networks-for-data-driven-closure-terms-of-turbulent-flows-2103.13655</loc><lastmod>2022-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-deep-kernel-networks-for-data-driven-closure-terms-of-turbulent-flows-2103.13655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-deep-kernel-networks-for-data-driven-closure-terms-of-turbulent-flows-2103.13655"/></url>
<url><loc>https://scifaro.com/en/abs/robust-subgroup-discovery-2103.13686</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-subgroup-discovery-2103.13686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-subgroup-discovery-2103.13686"/></url>
<url><loc>https://scifaro.com/en/abs/ecinn-efficient-counterfactuals-from-invertible-neural-networks-2103.13701</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ecinn-efficient-counterfactuals-from-invertible-neural-networks-2103.13701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ecinn-efficient-counterfactuals-from-invertible-neural-networks-2103.13701"/></url>
<url><loc>https://scifaro.com/en/abs/variational-autoencoder-based-vehicle-trajectory-prediction-with-an-interpretable-latent-space-2103.13726</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-autoencoder-based-vehicle-trajectory-prediction-with-an-interpretable-latent-space-2103.13726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-autoencoder-based-vehicle-trajectory-prediction-with-an-interpretable-latent-space-2103.13726"/></url>
<url><loc>https://scifaro.com/en/abs/deep-similarity-learning-for-sports-team-ranking-2103.13736</loc><lastmod>2022-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-similarity-learning-for-sports-team-ranking-2103.13736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-similarity-learning-for-sports-team-ranking-2103.13736"/></url>
<url><loc>https://scifaro.com/en/abs/ecg-tcn-wearable-cardiac-arrhythmia-detection-with-a-temporal-convolutional-network-2103.13740</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ecg-tcn-wearable-cardiac-arrhythmia-detection-with-a-temporal-convolutional-network-2103.13740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ecg-tcn-wearable-cardiac-arrhythmia-detection-with-a-temporal-convolutional-network-2103.13740"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-koopman-operators-for-nonlinear-dynamical-systems-a-nonparametric-approach-2103.13752</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-koopman-operators-for-nonlinear-dynamical-systems-a-nonparametric-approach-2103.13752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-koopman-operators-for-nonlinear-dynamical-systems-a-nonparametric-approach-2103.13752"/></url>
<url><loc>https://scifaro.com/en/abs/active-structure-learning-of-bayesian-networks-in-an-observational-setting-2103.13796</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-structure-learning-of-bayesian-networks-in-an-observational-setting-2103.13796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-structure-learning-of-bayesian-networks-in-an-observational-setting-2103.13796"/></url>
<url><loc>https://scifaro.com/en/abs/improving-playtesting-coverage-via-curiosity-driven-reinforcement-learning-agents-2103.13798</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-playtesting-coverage-via-curiosity-driven-reinforcement-learning-agents-2103.13798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-playtesting-coverage-via-curiosity-driven-reinforcement-learning-agents-2103.13798"/></url>
<url><loc>https://scifaro.com/en/abs/any-part-of-bayesian-network-structure-learning-2103.13810</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/any-part-of-bayesian-network-structure-learning-2103.13810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/any-part-of-bayesian-network-structure-learning-2103.13810"/></url>
<url><loc>https://scifaro.com/en/abs/student-network-learning-via-evolutionary-knowledge-distillation-2103.13811</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/student-network-learning-via-evolutionary-knowledge-distillation-2103.13811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/student-network-learning-via-evolutionary-knowledge-distillation-2103.13811"/></url>
<url><loc>https://scifaro.com/en/abs/reframing-demand-forecasting-a-two-fold-approach-for-lumpy-and-intermittent-demand-2103.13812</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reframing-demand-forecasting-a-two-fold-approach-for-lumpy-and-intermittent-demand-2103.13812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reframing-demand-forecasting-a-two-fold-approach-for-lumpy-and-intermittent-demand-2103.13812"/></url>
<url><loc>https://scifaro.com/en/abs/ra-bnn-constructing-robust-accurate-binary-neural-network-to-simultaneously-defend-adversarial-bit-flip-attack-and-improve-accuracy-2103.13813</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ra-bnn-constructing-robust-accurate-binary-neural-network-to-simultaneously-defend-adversarial-bit-flip-attack-and-improve-accuracy-2103.13813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ra-bnn-constructing-robust-accurate-binary-neural-network-to-simultaneously-defend-adversarial-bit-flip-attack-and-improve-accuracy-2103.13813"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-weighted-learning-for-unsupervised-domain-adaptation-2103.13814</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-weighted-learning-for-unsupervised-domain-adaptation-2103.13814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-weighted-learning-for-unsupervised-domain-adaptation-2103.13814"/></url>
<url><loc>https://scifaro.com/en/abs/fast-approximate-spectral-normalization-for-robust-deep-neural-networks-2103.13815</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-approximate-spectral-normalization-for-robust-deep-neural-networks-2103.13815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-approximate-spectral-normalization-for-robust-deep-neural-networks-2103.13815"/></url>
<url><loc>https://scifaro.com/en/abs/fedcor-correlation-based-active-client-selection-strategy-for-heterogeneous-federated-learning-2103.13822</loc><lastmod>2022-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedcor-correlation-based-active-client-selection-strategy-for-heterogeneous-federated-learning-2103.13822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedcor-correlation-based-active-client-selection-strategy-for-heterogeneous-federated-learning-2103.13822"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-adaptive-minority-oversampling-technique-for-improved-classification-in-data-imbalanced-scenarios-2103.13823</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-adaptive-minority-oversampling-technique-for-improved-classification-in-data-imbalanced-scenarios-2103.13823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-adaptive-minority-oversampling-technique-for-improved-classification-in-data-imbalanced-scenarios-2103.13823"/></url>
<url><loc>https://scifaro.com/en/abs/otce-a-transferability-metric-for-cross-domain-cross-task-representations-2103.13843</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/otce-a-transferability-metric-for-cross-domain-cross-task-representations-2103.13843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/otce-a-transferability-metric-for-cross-domain-cross-task-representations-2103.13843"/></url>
<url><loc>https://scifaro.com/en/abs/autism-spectrum-disorder-screening-using-discriminative-brain-sub-networks-an-entropic-approach-2103.13850</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autism-spectrum-disorder-screening-using-discriminative-brain-sub-networks-an-entropic-approach-2103.13850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autism-spectrum-disorder-screening-using-discriminative-brain-sub-networks-an-entropic-approach-2103.13850"/></url>
<url><loc>https://scifaro.com/en/abs/searching-for-waveforms-on-spatially-filtered-epileptic-ecog-2103.13853</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/searching-for-waveforms-on-spatially-filtered-epileptic-ecog-2103.13853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/searching-for-waveforms-on-spatially-filtered-epileptic-ecog-2103.13853"/></url>
<url><loc>https://scifaro.com/en/abs/a-retail-product-categorisation-dataset-2103.13864</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-retail-product-categorisation-dataset-2103.13864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-retail-product-categorisation-dataset-2103.13864"/></url>
<url><loc>https://scifaro.com/en/abs/a-physics-informed-neural-network-framework-for-partial-differential-equations-on-3d-surfaces-time-dependent-problems-2103.13878</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-physics-informed-neural-network-framework-for-partial-differential-equations-on-3d-surfaces-time-dependent-problems-2103.13878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-physics-informed-neural-network-framework-for-partial-differential-equations-on-3d-surfaces-time-dependent-problems-2103.13878"/></url>
<url><loc>https://scifaro.com/en/abs/risk-bounds-and-rademacher-complexity-in-batch-reinforcement-learning-2103.13883</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-bounds-and-rademacher-complexity-in-batch-reinforcement-learning-2103.13883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-bounds-and-rademacher-complexity-in-batch-reinforcement-learning-2103.13883"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-contrastive-replay-revisiting-the-nearest-class-mean-classifier-in-online-class-incremental-continual-learning-2103.13885</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-contrastive-replay-revisiting-the-nearest-class-mean-classifier-in-online-class-incremental-continual-learning-2103.13885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-contrastive-replay-revisiting-the-nearest-class-mean-classifier-in-online-class-incremental-continual-learning-2103.13885"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-imitation-learning-with-trajectorial-augmentation-and-correction-2103.13887</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-imitation-learning-with-trajectorial-augmentation-and-correction-2103.13887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-imitation-learning-with-trajectorial-augmentation-and-correction-2103.13887"/></url>
<url><loc>https://scifaro.com/en/abs/about-exchanging-expectation-and-supremum-for-conditional-wasserstein-gans-2103.13906</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/about-exchanging-expectation-and-supremum-for-conditional-wasserstein-gans-2103.13906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/about-exchanging-expectation-and-supremum-for-conditional-wasserstein-gans-2103.13906"/></url>
<url><loc>https://scifaro.com/en/abs/recovering-quantitative-models-of-human-information-processing-with-differentiable-architecture-search-2103.13939</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovering-quantitative-models-of-human-information-processing-with-differentiable-architecture-search-2103.13939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovering-quantitative-models-of-human-information-processing-with-differentiable-architecture-search-2103.13939"/></url>
<url><loc>https://scifaro.com/en/abs/smile-self-distilled-mixup-for-efficient-transfer-learning-2103.13941</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smile-self-distilled-mixup-for-efficient-transfer-learning-2103.13941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smile-self-distilled-mixup-for-efficient-transfer-learning-2103.13941"/></url>
<url><loc>https://scifaro.com/en/abs/preserve-promote-or-attack-gnn-explanation-via-topology-perturbation-2103.13944</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preserve-promote-or-attack-gnn-explanation-via-topology-perturbation-2103.13944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preserve-promote-or-attack-gnn-explanation-via-topology-perturbation-2103.13944"/></url>
<url><loc>https://scifaro.com/en/abs/enabling-incremental-training-with-forward-pass-for-edge-devices-2103.14007</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enabling-incremental-training-with-forward-pass-for-edge-devices-2103.14007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enabling-incremental-training-with-forward-pass-for-edge-devices-2103.14007"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-methodology-for-crowdsourcing-ai-models-in-an-enterprise-2103.14033</loc><lastmod>2021-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-methodology-for-crowdsourcing-ai-models-in-an-enterprise-2103.14033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-methodology-for-crowdsourcing-ai-models-in-an-enterprise-2103.14033"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-deceiving-reactive-jammers-in-wireless-networks-2103.14056</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-deceiving-reactive-jammers-in-wireless-networks-2103.14056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-deceiving-reactive-jammers-in-wireless-networks-2103.14056"/></url>
<url><loc>https://scifaro.com/en/abs/a-meta-reinforcement-learning-approach-to-process-control-2103.14060</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-meta-reinforcement-learning-approach-to-process-control-2103.14060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-meta-reinforcement-learning-approach-to-process-control-2103.14060"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-permutation-equivariance-in-graph-networks-2103.14066</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-permutation-equivariance-in-graph-networks-2103.14066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-permutation-equivariance-in-graph-networks-2103.14066"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-normalizing-flows-for-privacy-preserving-density-estimation-2103.14068</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-normalizing-flows-for-privacy-preserving-density-estimation-2103.14068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-normalizing-flows-for-privacy-preserving-density-estimation-2103.14068"/></url>
<url><loc>https://scifaro.com/en/abs/learning-stable-representations-with-full-encoder-2103.14082</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-stable-representations-with-full-encoder-2103.14082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-stable-representations-with-full-encoder-2103.14082"/></url>
<url><loc>https://scifaro.com/en/abs/negative-feedback-system-as-optimizer-for-machine-learning-systems-2103.14115</loc><lastmod>2024-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/negative-feedback-system-as-optimizer-for-machine-learning-systems-2103.14115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/negative-feedback-system-as-optimizer-for-machine-learning-systems-2103.14115"/></url>
<url><loc>https://scifaro.com/en/abs/persistence-homology-of-tedtalk-do-sentence-embeddings-have-a-topological-shape-2103.14131</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/persistence-homology-of-tedtalk-do-sentence-embeddings-have-a-topological-shape-2103.14131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/persistence-homology-of-tedtalk-do-sentence-embeddings-have-a-topological-shape-2103.14131"/></url>
<url><loc>https://scifaro.com/en/abs/self-labeling-of-fully-mediating-representations-by-graph-alignment-2103.14133</loc><lastmod>2022-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-labeling-of-fully-mediating-representations-by-graph-alignment-2103.14133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-labeling-of-fully-mediating-representations-by-graph-alignment-2103.14133"/></url>
<url><loc>https://scifaro.com/en/abs/inversionnet3d-efficient-and-scalable-learning-for-3d-full-waveform-inversion-2103.14158</loc><lastmod>2022-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inversionnet3d-efficient-and-scalable-learning-for-3d-full-waveform-inversion-2103.14158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inversionnet3d-efficient-and-scalable-learning-for-3d-full-waveform-inversion-2103.14158"/></url>
<url><loc>https://scifaro.com/en/abs/deep-ehr-spotlight-a-framework-and-mechanism-to-highlight-events-in-electronic-health-records-for-explainable-predictions-2103.14161</loc><lastmod>2022-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-ehr-spotlight-a-framework-and-mechanism-to-highlight-events-in-electronic-health-records-for-explainable-predictions-2103.14161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-ehr-spotlight-a-framework-and-mechanism-to-highlight-events-in-electronic-health-records-for-explainable-predictions-2103.14161"/></url>
<url><loc>https://scifaro.com/en/abs/deep-rbf-networks-for-anomaly-detection-in-automotive-cyber-physical-systems-2103.14172</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-rbf-networks-for-anomaly-detection-in-automotive-cyber-physical-systems-2103.14172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-rbf-networks-for-anomaly-detection-in-automotive-cyber-physical-systems-2103.14172"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-low-pass-filters-adaptive-feature-propagation-on-graphs-2103.14187</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-low-pass-filters-adaptive-feature-propagation-on-graphs-2103.14187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-low-pass-filters-adaptive-feature-propagation-on-graphs-2103.14187"/></url>
<url><loc>https://scifaro.com/en/abs/fritl-a-hybrid-method-for-causal-discovery-in-the-presence-of-latent-confounders-2103.14238</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fritl-a-hybrid-method-for-causal-discovery-in-the-presence-of-latent-confounders-2103.14238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fritl-a-hybrid-method-for-causal-discovery-in-the-presence-of-latent-confounders-2103.14238"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-deep-learning-models-for-multi-step-ahead-time-series-prediction-2103.14250</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-deep-learning-models-for-multi-step-ahead-time-series-prediction-2103.14250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-deep-learning-models-for-multi-step-ahead-time-series-prediction-2103.14250"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-federated-learning-with-quantization-convergence-analysis-and-system-design-2103.14272</loc><lastmod>2023-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-federated-learning-with-quantization-convergence-analysis-and-system-design-2103.14272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-federated-learning-with-quantization-convergence-analysis-and-system-design-2103.14272"/></url>
<url><loc>https://scifaro.com/en/abs/character-controllers-using-motion-vaes-2103.14274</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/character-controllers-using-motion-vaes-2103.14274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/character-controllers-using-motion-vaes-2103.14274"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-graph-neural-architecture-search-from-message-passing-2103.14282</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-graph-neural-architecture-search-from-message-passing-2103.14282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-graph-neural-architecture-search-from-message-passing-2103.14282"/></url>
<url><loc>https://scifaro.com/en/abs/vulnerability-due-to-training-order-in-split-learning-2103.14291</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vulnerability-due-to-training-order-in-split-learning-2103.14291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vulnerability-due-to-training-order-in-split-learning-2103.14291"/></url>
<url><loc>https://scifaro.com/en/abs/online-structural-health-monitoring-by-model-order-reduction-and-deep-learning-algorithms-2103.14328</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-structural-health-monitoring-by-model-order-reduction-and-deep-learning-algorithms-2103.14328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-structural-health-monitoring-by-model-order-reduction-and-deep-learning-algorithms-2103.14328"/></url>
<url><loc>https://scifaro.com/en/abs/combating-adversaries-with-anti-adversaries-2103.14347</loc><lastmod>2021-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combating-adversaries-with-anti-adversaries-2103.14347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combating-adversaries-with-anti-adversaries-2103.14347"/></url>
<url><loc>https://scifaro.com/en/abs/prior-independent-auctions-for-the-demand-side-of-federated-learning-2103.14375</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prior-independent-auctions-for-the-demand-side-of-federated-learning-2103.14375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prior-independent-auctions-for-the-demand-side-of-federated-learning-2103.14375"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-affinity-propagation-for-clustering-with-network-knowledge-2103.14376</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-affinity-propagation-for-clustering-with-network-knowledge-2103.14376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-affinity-propagation-for-clustering-with-network-knowledge-2103.14376"/></url>
<url><loc>https://scifaro.com/en/abs/bellman-a-toolbox-for-model-based-reinforcement-learning-in-tensorflow-2103.14407</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bellman-a-toolbox-for-model-based-reinforcement-learning-in-tensorflow-2103.14407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bellman-a-toolbox-for-model-based-reinforcement-learning-in-tensorflow-2103.14407"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-learning-in-multi-task-graphs-through-iterative-consensus-shift-2103.14417</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-learning-in-multi-task-graphs-through-iterative-consensus-shift-2103.14417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-learning-in-multi-task-graphs-through-iterative-consensus-shift-2103.14417"/></url>
<url><loc>https://scifaro.com/en/abs/segvisrl-visuomotor-development-for-a-lunar-rover-for-hazard-avoidance-using-camera-images-2103.14422</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/segvisrl-visuomotor-development-for-a-lunar-rover-for-hazard-avoidance-using-camera-images-2103.14422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/segvisrl-visuomotor-development-for-a-lunar-rover-for-hazard-avoidance-using-camera-images-2103.14422"/></url>
<url><loc>https://scifaro.com/en/abs/gated-transformer-networks-for-multivariate-time-series-classification-2103.14438</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gated-transformer-networks-for-multivariate-time-series-classification-2103.14438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gated-transformer-networks-for-multivariate-time-series-classification-2103.14438"/></url>
<url><loc>https://scifaro.com/en/abs/rct-resource-constrained-training-for-edge-ai-2103.14493</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rct-resource-constrained-training-for-edge-ai-2103.14493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rct-resource-constrained-training-for-edge-ai-2103.14493"/></url>
<url><loc>https://scifaro.com/en/abs/improved-initialization-of-state-space-artificial-neural-networks-2103.14516</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-initialization-of-state-space-artificial-neural-networks-2103.14516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-initialization-of-state-space-artificial-neural-networks-2103.14516"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-reconstruction-with-learning-from-unsupervised-to-supervised-and-beyond-2103.14528</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-reconstruction-with-learning-from-unsupervised-to-supervised-and-beyond-2103.14528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-reconstruction-with-learning-from-unsupervised-to-supervised-and-beyond-2103.14528"/></url>
<url><loc>https://scifaro.com/en/abs/featureenvi-visual-analytics-for-feature-engineering-using-stepwise-selection-and-semi-automatic-extraction-approaches-2103.14539</loc><lastmod>2024-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/featureenvi-visual-analytics-for-feature-engineering-using-stepwise-selection-and-semi-automatic-extraction-approaches-2103.14539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/featureenvi-visual-analytics-for-feature-engineering-using-stepwise-selection-and-semi-automatic-extraction-approaches-2103.14539"/></url>
<url><loc>https://scifaro.com/en/abs/deep-unsupervised-learning-for-generalized-assignment-problems-a-case-study-of-user-association-in-wireless-networks-2103.14548</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-unsupervised-learning-for-generalized-assignment-problems-a-case-study-of-user-association-in-wireless-networks-2103.14548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-unsupervised-learning-for-generalized-assignment-problems-a-case-study-of-user-association-in-wireless-networks-2103.14548"/></url>
<url><loc>https://scifaro.com/en/abs/user-oriented-smart-general-ai-system-under-causal-inference-2103.14561</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/user-oriented-smart-general-ai-system-under-causal-inference-2103.14561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/user-oriented-smart-general-ai-system-under-causal-inference-2103.14561"/></url>
<url><loc>https://scifaro.com/en/abs/elvet-a-neural-network-based-differential-equation-and-variational-problem-solver-2103.14575</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elvet-a-neural-network-based-differential-equation-and-variational-problem-solver-2103.14575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elvet-a-neural-network-based-differential-equation-and-variational-problem-solver-2103.14575"/></url>
<url><loc>https://scifaro.com/en/abs/deep-air-a-hybrid-cnn-lstm-framework-for-air-quality-modeling-in-metropolitan-cities-2103.14587</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-air-a-hybrid-cnn-lstm-framework-for-air-quality-modeling-in-metropolitan-cities-2103.14587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-air-a-hybrid-cnn-lstm-framework-for-air-quality-modeling-in-metropolitan-cities-2103.14587"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-demand-for-air-taxi-urban-aviation-services-using-machine-learning-algorithms-2103.14604</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-demand-for-air-taxi-urban-aviation-services-using-machine-learning-algorithms-2103.14604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-demand-for-air-taxi-urban-aviation-services-using-machine-learning-algorithms-2103.14604"/></url>
<url><loc>https://scifaro.com/en/abs/on-umap-s-true-loss-function-2103.14608</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-umap-s-true-loss-function-2103.14608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-umap-s-true-loss-function-2103.14608"/></url>
<url><loc>https://scifaro.com/en/abs/skid-raw-skill-discovery-from-raw-trajectories-2103.14610</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skid-raw-skill-discovery-from-raw-trajectories-2103.14610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skid-raw-skill-discovery-from-raw-trajectories-2103.14610"/></url>
<url><loc>https://scifaro.com/en/abs/randomization-based-machine-learning-in-renewable-energy-prediction-problems-critical-literature-review-new-results-and-perspectives-2103.14624</loc><lastmod>2021-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomization-based-machine-learning-in-renewable-energy-prediction-problems-critical-literature-review-new-results-and-perspectives-2103.14624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomization-based-machine-learning-in-renewable-energy-prediction-problems-critical-literature-review-new-results-and-perspectives-2103.14624"/></url>
<url><loc>https://scifaro.com/en/abs/a-practical-survey-on-faster-and-lighter-transformers-2103.14636</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-practical-survey-on-faster-and-lighter-transformers-2103.14636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-practical-survey-on-faster-and-lighter-transformers-2103.14636"/></url>
<url><loc>https://scifaro.com/en/abs/local-explanations-via-necessity-and-sufficiency-unifying-theory-and-practice-2103.14651</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-explanations-via-necessity-and-sufficiency-unifying-theory-and-practice-2103.14651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-explanations-via-necessity-and-sufficiency-unifying-theory-and-practice-2103.14651"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-adam-like-optimization-algorithms-to-improve-the-performance-of-convolutional-neural-networks-2103.14689</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-adam-like-optimization-algorithms-to-improve-the-performance-of-convolutional-neural-networks-2103.14689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-adam-like-optimization-algorithms-to-improve-the-performance-of-convolutional-neural-networks-2103.14689"/></url>
<url><loc>https://scifaro.com/en/abs/increasing-the-efficiency-of-policy-learning-for-autonomous-vehicles-by-multi-task-representation-learning-2103.14718</loc><lastmod>2021-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/increasing-the-efficiency-of-policy-learning-for-autonomous-vehicles-by-multi-task-representation-learning-2103.14718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/increasing-the-efficiency-of-policy-learning-for-autonomous-vehicles-by-multi-task-representation-learning-2103.14718"/></url>
<url><loc>https://scifaro.com/en/abs/almost-surely-stable-deep-dynamics-2103.14722</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/almost-surely-stable-deep-dynamics-2103.14722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/almost-surely-stable-deep-dynamics-2103.14722"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-the-nonsmoothness-of-modern-neural-networks-2103.14731</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-the-nonsmoothness-of-modern-neural-networks-2103.14731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-the-nonsmoothness-of-modern-neural-networks-2103.14731"/></url>
<url><loc>https://scifaro.com/en/abs/categorical-representation-learning-morphism-is-all-you-need-2103.14770</loc><lastmod>2023-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/categorical-representation-learning-morphism-is-all-you-need-2103.14770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/categorical-representation-learning-morphism-is-all-you-need-2103.14770"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-in-one-learning-ensemble-within-random-gated-networks-for-enhanced-adversarial-robustness-2103.14795</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-in-one-learning-ensemble-within-random-gated-networks-for-enhanced-adversarial-robustness-2103.14795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-in-one-learning-ensemble-within-random-gated-networks-for-enhanced-adversarial-robustness-2103.14795"/></url>
<url><loc>https://scifaro.com/en/abs/an-introduction-to-robust-graph-convolutional-networks-2103.14807</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-introduction-to-robust-graph-convolutional-networks-2103.14807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-introduction-to-robust-graph-convolutional-networks-2103.14807"/></url>
<url><loc>https://scifaro.com/en/abs/co-imitation-learning-without-expert-demonstration-2103.14823</loc><lastmod>2023-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-imitation-learning-without-expert-demonstration-2103.14823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-imitation-learning-without-expert-demonstration-2103.14823"/></url>
<url><loc>https://scifaro.com/en/abs/improving-model-robustness-by-adaptively-correcting-perturbation-levels-with-active-queries-2103.14824</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-model-robustness-by-adaptively-correcting-perturbation-levels-with-active-queries-2103.14824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-model-robustness-by-adaptively-correcting-perturbation-levels-with-active-queries-2103.14824"/></url>
<url><loc>https://scifaro.com/en/abs/libre-a-practical-bayesian-approach-to-adversarial-detection-2103.14835</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/libre-a-practical-bayesian-approach-to-adversarial-detection-2103.14835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/libre-a-practical-bayesian-approach-to-adversarial-detection-2103.14835"/></url>
<url><loc>https://scifaro.com/en/abs/a-nonlinear-diffusion-method-for-semi-supervised-learning-on-hypergraphs-2103.14867</loc><lastmod>2022-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nonlinear-diffusion-method-for-semi-supervised-learning-on-hypergraphs-2103.14867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nonlinear-diffusion-method-for-semi-supervised-learning-on-hypergraphs-2103.14867"/></url>
<url><loc>https://scifaro.com/en/abs/human-in-the-loop-handling-of-knowledge-drift-2103.14874</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-in-the-loop-handling-of-knowledge-drift-2103.14874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-in-the-loop-handling-of-knowledge-drift-2103.14874"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-conditional-generative-adversarial-networks-cgan-with-generator-regularization-2103.14884</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-conditional-generative-adversarial-networks-cgan-with-generator-regularization-2103.14884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-conditional-generative-adversarial-networks-cgan-with-generator-regularization-2103.14884"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-over-different-cellular-automata-rules-learned-by-a-deep-feed-forward-neural-network-2103.14886</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-over-different-cellular-automata-rules-learned-by-a-deep-feed-forward-neural-network-2103.14886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-over-different-cellular-automata-rules-learned-by-a-deep-feed-forward-neural-network-2103.14886"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-graph-neural-networks-without-explicit-negative-sampling-2103.14958</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-graph-neural-networks-without-explicit-negative-sampling-2103.14958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-graph-neural-networks-without-explicit-negative-sampling-2103.14958"/></url>
<url><loc>https://scifaro.com/en/abs/graph-unlearning-2103.14991</loc><lastmod>2022-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-unlearning-2103.14991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-unlearning-2103.14991"/></url>
<url><loc>https://scifaro.com/en/abs/thermal-transmittance-prediction-based-on-the-application-of-artificial-neural-networks-on-heat-flux-method-results-2103.14995</loc><lastmod>2026-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thermal-transmittance-prediction-based-on-the-application-of-artificial-neural-networks-on-heat-flux-method-results-2103.14995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thermal-transmittance-prediction-based-on-the-application-of-artificial-neural-networks-on-heat-flux-method-results-2103.14995"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-networks-for-multi-modal-non-euclidean-data-2103.14998</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-networks-for-multi-modal-non-euclidean-data-2103.14998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-networks-for-multi-modal-non-euclidean-data-2103.14998"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-and-reliable-forecasting-using-stochastic-differential-equations-2103.15041</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-and-reliable-forecasting-using-stochastic-differential-equations-2103.15041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-and-reliable-forecasting-using-stochastic-differential-equations-2103.15041"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-discriminative-feature-learning-for-deep-multi-view-clustering-2103.15069</loc><lastmod>2025-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-discriminative-feature-learning-for-deep-multi-view-clustering-2103.15069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-discriminative-feature-learning-for-deep-multi-view-clustering-2103.15069"/></url>
<url><loc>https://scifaro.com/en/abs/iup-an-intelligent-utility-prediction-scheme-for-solid-state-fermentation-in-5g-iot-2103.15073</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iup-an-intelligent-utility-prediction-scheme-for-solid-state-fermentation-in-5g-iot-2103.15073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iup-an-intelligent-utility-prediction-scheme-for-solid-state-fermentation-in-5g-iot-2103.15073"/></url>
<url><loc>https://scifaro.com/en/abs/improved-autoregressive-modeling-with-distribution-smoothing-2103.15089</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-autoregressive-modeling-with-distribution-smoothing-2103.15089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-autoregressive-modeling-with-distribution-smoothing-2103.15089"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-by-ranking-across-multiple-tasks-2103.15093</loc><lastmod>2025-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-by-ranking-across-multiple-tasks-2103.15093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-by-ranking-across-multiple-tasks-2103.15093"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-relationship-alignment-metric-learning-2103.15107</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-relationship-alignment-metric-learning-2103.15107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-relationship-alignment-metric-learning-2103.15107"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-representation-by-mutual-information-2103.15114</loc><lastmod>2025-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-representation-by-mutual-information-2103.15114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-representation-by-mutual-information-2103.15114"/></url>
<url><loc>https://scifaro.com/en/abs/symbolic-regression-outperforms-other-models-for-small-data-sets-2103.15147</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symbolic-regression-outperforms-other-models-for-small-data-sets-2103.15147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symbolic-regression-outperforms-other-models-for-small-data-sets-2103.15147"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-role-of-importance-weighting-for-deep-learning-2103.15209</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-role-of-importance-weighting-for-deep-learning-2103.15209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-role-of-importance-weighting-for-deep-learning-2103.15209"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-limits-of-algorithmic-prediction-across-the-globe-2103.15212</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-limits-of-algorithmic-prediction-across-the-globe-2103.15212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-limits-of-algorithmic-prediction-across-the-globe-2103.15212"/></url>
<url><loc>https://scifaro.com/en/abs/a-temporal-kernel-approach-for-deep-learning-with-continuous-time-information-2103.15213</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-temporal-kernel-approach-for-deep-learning-with-continuous-time-information-2103.15213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-temporal-kernel-approach-for-deep-learning-with-continuous-time-information-2103.15213"/></url>
<url><loc>https://scifaro.com/en/abs/knn-an-underestimated-model-for-regional-rainfall-forecasting-2103.15235</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knn-an-underestimated-model-for-regional-rainfall-forecasting-2103.15235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knn-an-underestimated-model-for-regional-rainfall-forecasting-2103.15235"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-of-event-triggered-communication-and-control-for-multi-agent-cooperative-transport-2103.15260</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-of-event-triggered-communication-and-control-for-multi-agent-cooperative-transport-2103.15260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-of-event-triggered-communication-and-control-for-multi-agent-cooperative-transport-2103.15260"/></url>
<url><loc>https://scifaro.com/en/abs/one-network-fits-all-modular-versus-monolithic-task-formulations-in-neural-networks-2103.15261</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-network-fits-all-modular-versus-monolithic-task-formulations-in-neural-networks-2103.15261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-network-fits-all-modular-versus-monolithic-task-formulations-in-neural-networks-2103.15261"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-attention-networks-for-data-compression-2103.15319</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-attention-networks-for-data-compression-2103.15319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-attention-networks-for-data-compression-2103.15319"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-sample-efficiency-and-generalization-in-reinforcement-learning-benchmarks-neurips-2020-procgen-benchmark-2103.15332</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-sample-efficiency-and-generalization-in-reinforcement-learning-benchmarks-neurips-2020-procgen-benchmark-2103.15332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-sample-efficiency-and-generalization-in-reinforcement-learning-benchmarks-neurips-2020-procgen-benchmark-2103.15332"/></url>
<url><loc>https://scifaro.com/en/abs/variational-rejection-particle-filtering-2103.15343</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-rejection-particle-filtering-2103.15343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-rejection-particle-filtering-2103.15343"/></url>
<url><loc>https://scifaro.com/en/abs/fixnorm-dissecting-weight-decay-for-training-deep-neural-networks-2103.15345</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixnorm-dissecting-weight-decay-for-training-deep-neural-networks-2103.15345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixnorm-dissecting-weight-decay-for-training-deep-neural-networks-2103.15345"/></url>
<url><loc>https://scifaro.com/en/abs/private-non-smooth-empirical-risk-minimization-and-stochastic-convex-optimization-in-subquadratic-steps-2103.15352</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-non-smooth-empirical-risk-minimization-and-stochastic-convex-optimization-in-subquadratic-steps-2103.15352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-non-smooth-empirical-risk-minimization-and-stochastic-convex-optimization-in-subquadratic-steps-2103.15352"/></url>
<url><loc>https://scifaro.com/en/abs/robust-reinforcement-learning-under-model-misspecification-2103.15370</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-reinforcement-learning-under-model-misspecification-2103.15370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-reinforcement-learning-under-model-misspecification-2103.15370"/></url>
<url><loc>https://scifaro.com/en/abs/lagrangian-objective-function-leads-to-improved-unforeseen-attack-generalization-in-adversarial-training-2103.15385</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lagrangian-objective-function-leads-to-improved-unforeseen-attack-generalization-in-adversarial-training-2103.15385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lagrangian-objective-function-leads-to-improved-unforeseen-attack-generalization-in-adversarial-training-2103.15385"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-explanations-from-empirical-explainers-2103.15429</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-explanations-from-empirical-explainers-2103.15429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-explanations-from-empirical-explainers-2103.15429"/></url>
<url><loc>https://scifaro.com/en/abs/pairing-character-classes-in-a-deathmatch-shooter-game-via-a-deep-learning-surrogate-model-2103.15451</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pairing-character-classes-in-a-deathmatch-shooter-game-via-a-deep-learning-surrogate-model-2103.15451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pairing-character-classes-in-a-deathmatch-shooter-game-via-a-deep-learning-surrogate-model-2103.15451"/></url>
<url><loc>https://scifaro.com/en/abs/zerograd-mitigating-and-explaining-catastrophic-overfitting-in-fgsm-adversarial-training-2103.15476</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zerograd-mitigating-and-explaining-catastrophic-overfitting-in-fgsm-adversarial-training-2103.15476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zerograd-mitigating-and-explaining-catastrophic-overfitting-in-fgsm-adversarial-training-2103.15476"/></url>
<url><loc>https://scifaro.com/en/abs/clare-practical-class-incremental-learning-by-remembering-previous-class-representations-2103.15486</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clare-practical-class-incremental-learning-by-remembering-previous-class-representations-2103.15486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clare-practical-class-incremental-learning-by-remembering-previous-class-representations-2103.15486"/></url>
<url><loc>https://scifaro.com/en/abs/score-oriented-loss-sol-functions-2103.15522</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/score-oriented-loss-sol-functions-2103.15522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/score-oriented-loss-sol-functions-2103.15522"/></url>
<url><loc>https://scifaro.com/en/abs/prototype-based-personalized-pruning-2103.15564</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prototype-based-personalized-pruning-2103.15564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prototype-based-personalized-pruning-2103.15564"/></url>
<url><loc>https://scifaro.com/en/abs/ran-gnns-breaking-the-capacity-limits-of-graph-neural-networks-2103.15565</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ran-gnns-breaking-the-capacity-limits-of-graph-neural-networks-2103.15565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ran-gnns-breaking-the-capacity-limits-of-graph-neural-networks-2103.15565"/></url>
<url><loc>https://scifaro.com/en/abs/risk-bounds-for-learning-via-hilbert-coresets-2103.15569</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-bounds-for-learning-via-hilbert-coresets-2103.15569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-bounds-for-learning-via-hilbert-coresets-2103.15569"/></url>
<url><loc>https://scifaro.com/en/abs/performance-analysis-of-out-of-distribution-detection-on-various-trained-neural-networks-2103.15580</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-analysis-of-out-of-distribution-detection-on-various-trained-neural-networks-2103.15580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-analysis-of-out-of-distribution-detection-on-various-trained-neural-networks-2103.15580"/></url>
<url><loc>https://scifaro.com/en/abs/backpropagation-through-time-for-networks-with-long-term-dependencies-2103.15589</loc><lastmod>2025-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backpropagation-through-time-for-networks-with-long-term-dependencies-2103.15589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backpropagation-through-time-for-networks-with-long-term-dependencies-2103.15589"/></url>
<url><loc>https://scifaro.com/en/abs/explore-the-knowledge-contained-in-network-weights-to-obtain-sparse-neural-networks-2103.15590</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explore-the-knowledge-contained-in-network-weights-to-obtain-sparse-neural-networks-2103.15590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explore-the-knowledge-contained-in-network-weights-to-obtain-sparse-neural-networks-2103.15590"/></url>
<url><loc>https://scifaro.com/en/abs/multi-source-transfer-learning-with-ensemble-for-financial-time-series-forecasting-2103.15593</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-source-transfer-learning-with-ensemble-for-financial-time-series-forecasting-2103.15593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-source-transfer-learning-with-ensemble-for-financial-time-series-forecasting-2103.15593"/></url>
<url><loc>https://scifaro.com/en/abs/setvae-learning-hierarchical-composition-for-generative-modeling-of-set-structured-data-2103.15619</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/setvae-learning-hierarchical-composition-for-generative-modeling-of-set-structured-data-2103.15619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/setvae-learning-hierarchical-composition-for-generative-modeling-of-set-structured-data-2103.15619"/></url>
<url><loc>https://scifaro.com/en/abs/graph-classification-by-mixture-of-diverse-experts-2103.15622</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-classification-by-mixture-of-diverse-experts-2103.15622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-classification-by-mixture-of-diverse-experts-2103.15622"/></url>
<url><loc>https://scifaro.com/en/abs/regular-polytope-networks-2103.15632</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regular-polytope-networks-2103.15632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regular-polytope-networks-2103.15632"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-risk-minimization-with-bayesian-models-through-deep-learning-approximation-2103.15682</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-risk-minimization-with-bayesian-models-through-deep-learning-approximation-2103.15682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-risk-minimization-with-bayesian-models-through-deep-learning-approximation-2103.15682"/></url>
<url><loc>https://scifaro.com/en/abs/the-sample-complexity-of-distribution-free-parity-learning-in-the-robust-shuffle-model-2103.15690</loc><lastmod>2021-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-sample-complexity-of-distribution-free-parity-learning-in-the-robust-shuffle-model-2103.15690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-sample-complexity-of-distribution-free-parity-learning-in-the-robust-shuffle-model-2103.15690"/></url>
<url><loc>https://scifaro.com/en/abs/von-mises-fisher-loss-an-exploration-of-embedding-geometries-for-supervised-learning-2103.15718</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/von-mises-fisher-loss-an-exploration-of-embedding-geometries-for-supervised-learning-2103.15718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/von-mises-fisher-loss-an-exploration-of-embedding-geometries-for-supervised-learning-2103.15718"/></url>
<url><loc>https://scifaro.com/en/abs/reproducibility-report-rigging-the-lottery-making-all-tickets-winners-2103.15767</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reproducibility-report-rigging-the-lottery-making-all-tickets-winners-2103.15767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reproducibility-report-rigging-the-lottery-making-all-tickets-winners-2103.15767"/></url>
<url><loc>https://scifaro.com/en/abs/multiscale-clustering-of-hyperspectral-images-through-spectral-spatial-diffusion-geometry-2103.15783</loc><lastmod>2022-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiscale-clustering-of-hyperspectral-images-through-spectral-spatial-diffusion-geometry-2103.15783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiscale-clustering-of-hyperspectral-images-through-spectral-spatial-diffusion-geometry-2103.15783"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-neural-operations-for-diverse-tasks-2103.15798</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-neural-operations-for-diverse-tasks-2103.15798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-neural-operations-for-diverse-tasks-2103.15798"/></url>
<url><loc>https://scifaro.com/en/abs/augmenting-automated-game-testing-with-deep-reinforcement-learning-2103.15819</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmenting-automated-game-testing-with-deep-reinforcement-learning-2103.15819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmenting-automated-game-testing-with-deep-reinforcement-learning-2103.15819"/></url>
<url><loc>https://scifaro.com/en/abs/classifying-the-unstructured-it-service-desk-tickets-using-ensemble-of-classifiers-2103.15822</loc><lastmod>2024-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifying-the-unstructured-it-service-desk-tickets-using-ensemble-of-classifiers-2103.15822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifying-the-unstructured-it-service-desk-tickets-using-ensemble-of-classifiers-2103.15822"/></url>
<url><loc>https://scifaro.com/en/abs/distilled-replay-overcoming-forgetting-through-synthetic-samples-2103.15851</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilled-replay-overcoming-forgetting-through-synthetic-samples-2103.15851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilled-replay-overcoming-forgetting-through-synthetic-samples-2103.15851"/></url>
<url><loc>https://scifaro.com/en/abs/learning-under-adversarial-and-interventional-shifts-2103.15933</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-under-adversarial-and-interventional-shifts-2103.15933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-under-adversarial-and-interventional-shifts-2103.15933"/></url>
<url><loc>https://scifaro.com/en/abs/shaping-advice-in-deep-multi-agent-reinforcement-learning-2103.15941</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shaping-advice-in-deep-multi-agent-reinforcement-learning-2103.15941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shaping-advice-in-deep-multi-agent-reinforcement-learning-2103.15941"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-taskonomy-for-non-iid-data-2103.15947</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-taskonomy-for-non-iid-data-2103.15947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-taskonomy-for-non-iid-data-2103.15947"/></url>
<url><loc>https://scifaro.com/en/abs/entity-context-graph-learning-entity-representations-fromsemi-structured-textual-sources-on-the-web-2103.15950</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entity-context-graph-learning-entity-representations-fromsemi-structured-textual-sources-on-the-web-2103.15950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entity-context-graph-learning-entity-representations-fromsemi-structured-textual-sources-on-the-web-2103.15950"/></url>
<url><loc>https://scifaro.com/en/abs/strong-optimal-classification-trees-2103.15965</loc><lastmod>2023-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strong-optimal-classification-trees-2103.15965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strong-optimal-classification-trees-2103.15965"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-graph-node-correlations-with-neighbor-mixture-models-2103.15966</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-graph-node-correlations-with-neighbor-mixture-models-2103.15966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-graph-node-correlations-with-neighbor-mixture-models-2103.15966"/></url>
<url><loc>https://scifaro.com/en/abs/deep-compression-for-pytorch-model-deployment-on-microcontrollers-2103.15972</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-compression-for-pytorch-model-deployment-on-microcontrollers-2103.15972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-compression-for-pytorch-model-deployment-on-microcontrollers-2103.15972"/></url>
<url><loc>https://scifaro.com/en/abs/plan-b-predicting-likely-alternative-next-best-sequences-for-action-prediction-2103.15987</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plan-b-predicting-likely-alternative-next-best-sequences-for-action-prediction-2103.15987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plan-b-predicting-likely-alternative-next-best-sequences-for-action-prediction-2103.15987"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-complexity-interpolation-in-random-features-models-2103.15996</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-complexity-interpolation-in-random-features-models-2103.15996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-complexity-interpolation-in-random-features-models-2103.15996"/></url>
<url><loc>https://scifaro.com/en/abs/theory-guided-machine-learning-for-process-simulation-of-advanced-composites-2103.16010</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-guided-machine-learning-for-process-simulation-of-advanced-composites-2103.16010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-guided-machine-learning-for-process-simulation-of-advanced-composites-2103.16010"/></url>
<url><loc>https://scifaro.com/en/abs/training-sparse-neural-network-by-constraining-synaptic-weight-on-unit-lp-sphere-2103.16013</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-sparse-neural-network-by-constraining-synaptic-weight-on-unit-lp-sphere-2103.16013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-sparse-neural-network-by-constraining-synaptic-weight-on-unit-lp-sphere-2103.16013"/></url>
<url><loc>https://scifaro.com/en/abs/certifiably-robust-federated-adversarial-learning-via-randomized-smoothing-2103.16031</loc><lastmod>2024-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certifiably-robust-federated-adversarial-learning-via-randomized-smoothing-2103.16031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certifiably-robust-federated-adversarial-learning-via-randomized-smoothing-2103.16031"/></url>
<url><loc>https://scifaro.com/en/abs/fair-iot-fairness-aware-human-in-the-loop-reinforcement-learning-for-harnessing-human-variability-in-personalized-iot-2103.16033</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-iot-fairness-aware-human-in-the-loop-reinforcement-learning-for-harnessing-human-variability-in-personalized-iot-2103.16033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-iot-fairness-aware-human-in-the-loop-reinforcement-learning-for-harnessing-human-variability-in-personalized-iot-2103.16033"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-hyperbolic-representation-learning-via-message-passing-auto-encoders-2103.16046</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-hyperbolic-representation-learning-via-message-passing-auto-encoders-2103.16046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-hyperbolic-representation-learning-via-message-passing-auto-encoders-2103.16046"/></url>
<url><loc>https://scifaro.com/en/abs/1-bit-compressive-sensing-for-efficient-federated-learning-over-the-air-2103.16055</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/1-bit-compressive-sensing-for-efficient-federated-learning-over-the-air-2103.16055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/1-bit-compressive-sensing-for-efficient-federated-learning-over-the-air-2103.16055"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-graph-partitioning-for-very-large-scale-deep-learning-2103.16063</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-graph-partitioning-for-very-large-scale-deep-learning-2103.16063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-graph-partitioning-for-very-large-scale-deep-learning-2103.16063"/></url>
<url><loc>https://scifaro.com/en/abs/pointba-towards-backdoor-attacks-in-3d-point-cloud-2103.16074</loc><lastmod>2025-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pointba-towards-backdoor-attacks-in-3d-point-cloud-2103.16074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pointba-towards-backdoor-attacks-in-3d-point-cloud-2103.16074"/></url>
<url><loc>https://scifaro.com/en/abs/geometry-of-program-synthesis-2103.16080</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometry-of-program-synthesis-2103.16080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometry-of-program-synthesis-2103.16080"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-stochastic-nonconvex-optimization-with-bandit-feedback-2103.16082</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-stochastic-nonconvex-optimization-with-bandit-feedback-2103.16082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-stochastic-nonconvex-optimization-with-bandit-feedback-2103.16082"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-landfall-s-location-and-time-of-a-tropical-cyclone-using-reanalysis-data-2103.16108</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-landfall-s-location-and-time-of-a-tropical-cyclone-using-reanalysis-data-2103.16108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-landfall-s-location-and-time-of-a-tropical-cyclone-using-reanalysis-data-2103.16108"/></url>
<url><loc>https://scifaro.com/en/abs/a-resource-efficient-method-for-repeated-hpo-and-nas-problems-2103.16111</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-resource-efficient-method-for-repeated-hpo-and-nas-problems-2103.16111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-resource-efficient-method-for-repeated-hpo-and-nas-problems-2103.16111"/></url>
<url><loc>https://scifaro.com/en/abs/graph-intention-network-for-click-through-rate-prediction-in-sponsored-search-2103.16164</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-intention-network-for-click-through-rate-prediction-in-sponsored-search-2103.16164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-intention-network-for-click-through-rate-prediction-in-sponsored-search-2103.16164"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-landfall-intensity-location-and-time-of-a-tropical-cyclone-2103.16180</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-landfall-intensity-location-and-time-of-a-tropical-cyclone-2103.16180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-landfall-intensity-location-and-time-of-a-tropical-cyclone-2103.16180"/></url>
<url><loc>https://scifaro.com/en/abs/product-inspection-methodology-via-deep-learning-an-overview-2103.16198</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/product-inspection-methodology-via-deep-learning-an-overview-2103.16198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/product-inspection-methodology-via-deep-learning-an-overview-2103.16198"/></url>
<url><loc>https://scifaro.com/en/abs/ivpf-numerical-invertible-volume-preserving-flow-for-efficient-lossless-compression-2103.16211</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ivpf-numerical-invertible-volume-preserving-flow-for-efficient-lossless-compression-2103.16211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ivpf-numerical-invertible-volume-preserving-flow-for-efficient-lossless-compression-2103.16211"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-neural-networks-for-sleep-stage-scoring-on-a-two-channel-eeg-signal-2103.16215</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-neural-networks-for-sleep-stage-scoring-on-a-two-channel-eeg-signal-2103.16215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-neural-networks-for-sleep-stage-scoring-on-a-two-channel-eeg-signal-2103.16215"/></url>
<url><loc>https://scifaro.com/en/abs/towards-real-world-deployment-of-reinforcement-learning-for-traffic-signal-control-2103.16223</loc><lastmod>2024-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-real-world-deployment-of-reinforcement-learning-for-traffic-signal-control-2103.16223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-real-world-deployment-of-reinforcement-learning-for-traffic-signal-control-2103.16223"/></url>
<url><loc>https://scifaro.com/en/abs/model-contrastive-federated-learning-2103.16257</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-contrastive-federated-learning-2103.16257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-contrastive-federated-learning-2103.16257"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-with-multi-task-learning-for-rocksdb-2103.16267</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-with-multi-task-learning-for-rocksdb-2103.16267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-with-multi-task-learning-for-rocksdb-2103.16267"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-meta-learning-of-linear-representations-2103.16277</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-meta-learning-of-linear-representations-2103.16277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-meta-learning-of-linear-representations-2103.16277"/></url>
<url><loc>https://scifaro.com/en/abs/a-dynamic-battery-state-of-health-forecasting-model-for-electric-trucks-li-ion-batteries-case-study-2103.16280</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dynamic-battery-state-of-health-forecasting-model-for-electric-trucks-li-ion-batteries-case-study-2103.16280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dynamic-battery-state-of-health-forecasting-model-for-electric-trucks-li-ion-batteries-case-study-2103.16280"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-a-joint-of-phenotypic-and-genetic-features-on-cancer-patient-subgrouping-2103.16316</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-a-joint-of-phenotypic-and-genetic-features-on-cancer-patient-subgrouping-2103.16316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-a-joint-of-phenotypic-and-genetic-features-on-cancer-patient-subgrouping-2103.16316"/></url>
<url><loc>https://scifaro.com/en/abs/thermal-neural-networks-lumped-parameter-thermal-modeling-with-state-space-machine-learning-2103.16323</loc><lastmod>2022-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thermal-neural-networks-lumped-parameter-thermal-modeling-with-state-space-machine-learning-2103.16323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thermal-neural-networks-lumped-parameter-thermal-modeling-with-state-space-machine-learning-2103.16323"/></url>
<url><loc>https://scifaro.com/en/abs/variational-models-for-signal-processing-with-graph-neural-networks-2103.16337</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-models-for-signal-processing-with-graph-neural-networks-2103.16337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-models-for-signal-processing-with-graph-neural-networks-2103.16337"/></url>
<url><loc>https://scifaro.com/en/abs/wave-based-damage-detection-in-solid-structures-using-artificial-neural-networks-2103.16339</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wave-based-damage-detection-in-solid-structures-using-artificial-neural-networks-2103.16339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wave-based-damage-detection-in-solid-structures-using-artificial-neural-networks-2103.16339"/></url>
<url><loc>https://scifaro.com/en/abs/historical-inertia-a-neglected-but-powerful-baseline-for-long-sequence-time-series-forecasting-2103.16349</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/historical-inertia-a-neglected-but-powerful-baseline-for-long-sequence-time-series-forecasting-2103.16349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/historical-inertia-a-neglected-but-powerful-baseline-for-long-sequence-time-series-forecasting-2103.16349"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-weighted-directed-acyclic-graph-and-a-priori-estimates-for-neural-networks-2103.16355</loc><lastmod>2023-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-weighted-directed-acyclic-graph-and-a-priori-estimates-for-neural-networks-2103.16355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-weighted-directed-acyclic-graph-and-a-priori-estimates-for-neural-networks-2103.16355"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-gq-with-variance-reduction-finite-time-analysis-and-improved-complexity-2103.16377</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-gq-with-variance-reduction-finite-time-analysis-and-improved-complexity-2103.16377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-gq-with-variance-reduction-finite-time-analysis-and-improved-complexity-2103.16377"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-constrained-optimization-learning-a-survey-2103.16378</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-constrained-optimization-learning-a-survey-2103.16378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-constrained-optimization-learning-a-survey-2103.16378"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-linear-tree-space-nearest-neighbor-2103.16408</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-linear-tree-space-nearest-neighbor-2103.16408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-linear-tree-space-nearest-neighbor-2103.16408"/></url>
<url><loc>https://scifaro.com/en/abs/energyvis-interactively-tracking-and-exploring-energy-consumption-for-ml-models-2103.16435</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energyvis-interactively-tracking-and-exploring-energy-consumption-for-ml-models-2103.16435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energyvis-interactively-tracking-and-exploring-energy-consumption-for-ml-models-2103.16435"/></url>
<url><loc>https://scifaro.com/en/abs/neural-transformation-learning-for-deep-anomaly-detection-beyond-images-2103.16440</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-transformation-learning-for-deep-anomaly-detection-beyond-images-2103.16440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-transformation-learning-for-deep-anomaly-detection-beyond-images-2103.16440"/></url>
<url><loc>https://scifaro.com/en/abs/human-activity-analysis-and-recognition-from-smartphones-using-machine-learning-techniques-2103.16490</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-activity-analysis-and-recognition-from-smartphones-using-machine-learning-techniques-2103.16490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-activity-analysis-and-recognition-from-smartphones-using-machine-learning-techniques-2103.16490"/></url>
<url><loc>https://scifaro.com/en/abs/multilayer-graph-clustering-with-optimized-node-embedding-2103.16534</loc><lastmod>2021-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilayer-graph-clustering-with-optimized-node-embedding-2103.16534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilayer-graph-clustering-with-optimized-node-embedding-2103.16534"/></url>
<url><loc>https://scifaro.com/en/abs/parameterized-hypercomplex-graph-neural-networks-for-graph-classification-2103.16584</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameterized-hypercomplex-graph-neural-networks-for-graph-classification-2103.16584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameterized-hypercomplex-graph-neural-networks-for-graph-classification-2103.16584"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-weight-balancing-2103.16591</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-weight-balancing-2103.16591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-weight-balancing-2103.16591"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarks-for-deep-off-policy-evaluation-2103.16596</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarks-for-deep-off-policy-evaluation-2103.16596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarks-for-deep-off-policy-evaluation-2103.16596"/></url>
<url><loc>https://scifaro.com/en/abs/binarized-neural-networks-for-resource-constrained-on-device-gait-identification-2103.16609</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binarized-neural-networks-for-resource-constrained-on-device-gait-identification-2103.16609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binarized-neural-networks-for-resource-constrained-on-device-gait-identification-2103.16609"/></url>
<url><loc>https://scifaro.com/en/abs/learning-lipschitz-feedback-policies-from-expert-demonstrations-closed-loop-guarantees-generalization-and-robustness-2103.16629</loc><lastmod>2022-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-lipschitz-feedback-policies-from-expert-demonstrations-closed-loop-guarantees-generalization-and-robustness-2103.16629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-lipschitz-feedback-policies-from-expert-demonstrations-closed-loop-guarantees-generalization-and-robustness-2103.16629"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-certification-for-point-cloud-models-2103.16652</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-certification-for-point-cloud-models-2103.16652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-certification-for-point-cloud-models-2103.16652"/></url>
<url><loc>https://scifaro.com/en/abs/new-algorithms-for-discrete-time-parameter-estimation-2103.16653</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-algorithms-for-discrete-time-parameter-estimation-2103.16653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-algorithms-for-discrete-time-parameter-estimation-2103.16653"/></url>
<url><loc>https://scifaro.com/en/abs/multi-source-causal-inference-using-control-variates-2103.16689</loc><lastmod>2022-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-source-causal-inference-using-control-variates-2103.16689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-source-causal-inference-using-control-variates-2103.16689"/></url>
<url><loc>https://scifaro.com/en/abs/research-of-damped-newton-stochastic-gradient-descent-method-for-neural-network-training-2103.16764</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/research-of-damped-newton-stochastic-gradient-descent-method-for-neural-network-training-2103.16764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/research-of-damped-newton-stochastic-gradient-descent-method-for-neural-network-training-2103.16764"/></url>
<url><loc>https://scifaro.com/en/abs/attention-please-a-survey-of-neural-attention-models-in-deep-learning-2103.16775</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-please-a-survey-of-neural-attention-models-in-deep-learning-2103.16775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-please-a-survey-of-neural-attention-models-in-deep-learning-2103.16775"/></url>
<url><loc>https://scifaro.com/en/abs/individually-fair-gradient-boosting-2103.16785</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/individually-fair-gradient-boosting-2103.16785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/individually-fair-gradient-boosting-2103.16785"/></url>
<url><loc>https://scifaro.com/en/abs/quest-queue-simulation-for-content-moderation-at-scale-2103.16816</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quest-queue-simulation-for-content-moderation-at-scale-2103.16816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quest-queue-simulation-for-content-moderation-at-scale-2103.16816"/></url>
<url><loc>https://scifaro.com/en/abs/perun-secure-multi-stakeholder-machine-learning-framework-with-gpu-support-2103.16898</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perun-secure-multi-stakeholder-machine-learning-framework-with-gpu-support-2103.16898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perun-secure-multi-stakeholder-machine-learning-framework-with-gpu-support-2103.16898"/></url>
<url><loc>https://scifaro.com/en/abs/energy-efficient-edge-computing-when-lyapunov-meets-distributed-reinforcement-learning-2103.16985</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-efficient-edge-computing-when-lyapunov-meets-distributed-reinforcement-learning-2103.16985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-efficient-edge-computing-when-lyapunov-meets-distributed-reinforcement-learning-2103.16985"/></url>
<url><loc>https://scifaro.com/en/abs/visiored-a-visualisation-tool-for-interpretable-predictive-maintenance-2103.17003</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visiored-a-visualisation-tool-for-interpretable-predictive-maintenance-2103.17003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visiored-a-visualisation-tool-for-interpretable-predictive-maintenance-2103.17003"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-label-correction-via-entropy-thresholding-2103.17008</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-label-correction-via-entropy-thresholding-2103.17008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-label-correction-via-entropy-thresholding-2103.17008"/></url>
<url><loc>https://scifaro.com/en/abs/spatiotemporal-data-mining-a-survey-on-challenges-and-open-problems-2103.17128</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatiotemporal-data-mining-a-survey-on-challenges-and-open-problems-2103.17128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatiotemporal-data-mining-a-survey-on-challenges-and-open-problems-2103.17128"/></url>
<url><loc>https://scifaro.com/en/abs/empirically-explaining-sgd-from-a-line-search-perspective-2103.17132</loc><lastmod>2022-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirically-explaining-sgd-from-a-line-search-perspective-2103.17132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirically-explaining-sgd-from-a-line-search-perspective-2103.17132"/></url>
<url><loc>https://scifaro.com/en/abs/compressing-1d-time-channel-separable-convolutions-using-sparse-random-ternary-matrices-2103.17142</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressing-1d-time-channel-separable-convolutions-using-sparse-random-ternary-matrices-2103.17142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressing-1d-time-channel-separable-convolutions-using-sparse-random-ternary-matrices-2103.17142"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-origin-of-species-of-self-supervised-learning-2103.17143</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-origin-of-species-of-self-supervised-learning-2103.17143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-origin-of-species-of-self-supervised-learning-2103.17143"/></url>
<url><loc>https://scifaro.com/en/abs/crowdteacher-robust-co-teaching-with-noisy-answers-sample-specific-perturbations-for-tabular-data-2103.17144</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crowdteacher-robust-co-teaching-with-noisy-answers-sample-specific-perturbations-for-tabular-data-2103.17144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crowdteacher-robust-co-teaching-with-noisy-answers-sample-specific-perturbations-for-tabular-data-2103.17144"/></url>
<url><loc>https://scifaro.com/en/abs/positive-negative-momentum-manipulating-stochastic-gradient-noise-to-improve-generalization-2103.17182</loc><lastmod>2022-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/positive-negative-momentum-manipulating-stochastic-gradient-noise-to-improve-generalization-2103.17182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/positive-negative-momentum-manipulating-stochastic-gradient-noise-to-improve-generalization-2103.17182"/></url>
<url><loc>https://scifaro.com/en/abs/olivaw-mastering-othello-without-human-knowledge-nor-a-fortune-2103.17228</loc><lastmod>2022-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/olivaw-mastering-othello-without-human-knowledge-nor-a-fortune-2103.17228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/olivaw-mastering-othello-without-human-knowledge-nor-a-fortune-2103.17228"/></url>
<url><loc>https://scifaro.com/en/abs/cdinn-convex-difference-neural-networks-2103.17231</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cdinn-convex-difference-neural-networks-2103.17231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cdinn-convex-difference-neural-networks-2103.17231"/></url>
<url><loc>https://scifaro.com/en/abs/neuro-symbolic-constraint-programming-for-structured-prediction-2103.17232</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuro-symbolic-constraint-programming-for-structured-prediction-2103.17232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuro-symbolic-constraint-programming-for-structured-prediction-2103.17232"/></url>
<url><loc>https://scifaro.com/en/abs/co-adaptation-of-algorithmic-and-implementational-innovations-in-inference-based-deep-reinforcement-learning-2103.17258</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-adaptation-of-algorithmic-and-implementational-innovations-in-inference-based-deep-reinforcement-learning-2103.17258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-adaptation-of-algorithmic-and-implementational-innovations-in-inference-based-deep-reinforcement-learning-2103.17258"/></url>
<url><loc>https://scifaro.com/en/abs/bit-mixer-mixed-precision-networks-with-runtime-bit-width-selection-2103.17267</loc><lastmod>2021-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bit-mixer-mixed-precision-networks-with-runtime-bit-width-selection-2103.17267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bit-mixer-mixed-precision-networks-with-runtime-bit-width-selection-2103.17267"/></url>
<url><loc>https://scifaro.com/en/abs/fast-certified-robust-training-with-short-warmup-2103.17268</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-certified-robust-training-with-short-warmup-2103.17268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-certified-robust-training-with-short-warmup-2103.17268"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-dynamic-alignment-networks-for-interpretable-classifications-2104.00032</loc><lastmod>2024-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-dynamic-alignment-networks-for-interpretable-classifications-2104.00032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-dynamic-alignment-networks-for-interpretable-classifications-2104.00032"/></url>
<url><loc>https://scifaro.com/en/abs/strengthening-the-training-of-convolutional-neural-networks-by-using-walsh-matrix-2104.00035</loc><lastmod>2022-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strengthening-the-training-of-convolutional-neural-networks-by-using-walsh-matrix-2104.00035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strengthening-the-training-of-convolutional-neural-networks-by-using-walsh-matrix-2104.00035"/></url>
<url><loc>https://scifaro.com/en/abs/smartphone-camera-oximetry-in-an-induced-hypoxemia-study-2104.00038</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smartphone-camera-oximetry-in-an-induced-hypoxemia-study-2104.00038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smartphone-camera-oximetry-in-an-induced-hypoxemia-study-2104.00038"/></url>
<url><loc>https://scifaro.com/en/abs/sst-gnn-simplified-spatio-temporal-traffic-forecasting-model-using-graph-neural-network-2104.00055</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sst-gnn-simplified-spatio-temporal-traffic-forecasting-model-using-graph-neural-network-2104.00055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sst-gnn-simplified-spatio-temporal-traffic-forecasting-model-using-graph-neural-network-2104.00055"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-transparency-report-privacy-in-linear-time-2104.00137</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-transparency-report-privacy-in-linear-time-2104.00137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-transparency-report-privacy-in-linear-time-2104.00137"/></url>
<url><loc>https://scifaro.com/en/abs/dealio-data-efficient-adversarial-learning-for-imitation-from-observation-2104.00163</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dealio-data-efficient-adversarial-learning-for-imitation-from-observation-2104.00163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dealio-data-efficient-adversarial-learning-for-imitation-from-observation-2104.00163"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-analysis-and-modeling-to-forecast-a-survey-2104.00164</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-analysis-and-modeling-to-forecast-a-survey-2104.00164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-analysis-and-modeling-to-forecast-a-survey-2104.00164"/></url>
<url><loc>https://scifaro.com/en/abs/are-bias-mitigation-techniques-for-deep-learning-effective-2104.00170</loc><lastmod>2024-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-bias-mitigation-techniques-for-deep-learning-effective-2104.00170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-bias-mitigation-techniques-for-deep-learning-effective-2104.00170"/></url>
<url><loc>https://scifaro.com/en/abs/sub-gmn-the-neural-subgraph-matching-network-model-2104.00186</loc><lastmod>2022-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sub-gmn-the-neural-subgraph-matching-network-model-2104.00186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sub-gmn-the-neural-subgraph-matching-network-model-2104.00186"/></url>
<url><loc>https://scifaro.com/en/abs/fast-jacobian-vector-product-for-deep-networks-2104.00219</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-jacobian-vector-product-for-deep-networks-2104.00219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-jacobian-vector-product-for-deep-networks-2104.00219"/></url>
<url><loc>https://scifaro.com/en/abs/optimizer-fusion-efficient-training-with-better-locality-and-parallelism-2104.00237</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizer-fusion-efficient-training-with-better-locality-and-parallelism-2104.00237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizer-fusion-efficient-training-with-better-locality-and-parallelism-2104.00237"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-mpc-using-tsallis-divergence-2104.00241</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-mpc-using-tsallis-divergence-2104.00241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-mpc-using-tsallis-divergence-2104.00241"/></url>
<url><loc>https://scifaro.com/en/abs/using-python-for-model-inference-in-deep-learning-2104.00254</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-python-for-model-inference-in-deep-learning-2104.00254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-python-for-model-inference-in-deep-learning-2104.00254"/></url>
<url><loc>https://scifaro.com/en/abs/the-compact-support-neural-network-2104.00269</loc><lastmod>2024-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-compact-support-neural-network-2104.00269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-compact-support-neural-network-2104.00269"/></url>
<url><loc>https://scifaro.com/en/abs/domain-invariant-adversarial-learning-2104.00322</loc><lastmod>2022-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-invariant-adversarial-learning-2104.00322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-invariant-adversarial-learning-2104.00322"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-time-of-federated-learning-over-wireless-networks-under-imperfect-csi-2104.00331</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-time-of-federated-learning-over-wireless-networks-under-imperfect-csi-2104.00331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-time-of-federated-learning-over-wireless-networks-under-imperfect-csi-2104.00331"/></url>
<url><loc>https://scifaro.com/en/abs/federated-few-shot-learning-with-adversarial-learning-2104.00365</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-few-shot-learning-with-adversarial-learning-2104.00365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-few-shot-learning-with-adversarial-learning-2104.00365"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-algorithm-for-feedback-and-feedforward-policies-towards-robot-control-robust-to-sensing-failures-2104.00385</loc><lastmod>2022-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-algorithm-for-feedback-and-feedforward-policies-towards-robot-control-robust-to-sensing-failures-2104.00385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-algorithm-for-feedback-and-feedforward-policies-towards-robot-control-robust-to-sensing-failures-2104.00385"/></url>
<url><loc>https://scifaro.com/en/abs/avalanche-an-end-to-end-library-for-continual-learning-2104.00405</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avalanche-an-end-to-end-library-for-continual-learning-2104.00405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avalanche-an-end-to-end-library-for-continual-learning-2104.00405"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-neural-tangent-kernels-in-near-input-sparsity-time-2104.00415</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-neural-tangent-kernels-in-near-input-sparsity-time-2104.00415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-neural-tangent-kernels-in-near-input-sparsity-time-2104.00415"/></url>
<url><loc>https://scifaro.com/en/abs/latent-space-data-assimilation-by-using-deep-learning-2104.00430</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-space-data-assimilation-by-using-deep-learning-2104.00430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-space-data-assimilation-by-using-deep-learning-2104.00430"/></url>
<url><loc>https://scifaro.com/en/abs/touch-based-curiosity-for-sparse-reward-tasks-2104.00442</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/touch-based-curiosity-for-sparse-reward-tasks-2104.00442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/touch-based-curiosity-for-sparse-reward-tasks-2104.00442"/></url>
<url><loc>https://scifaro.com/en/abs/learning-rates-for-multi-task-regularization-networks-2104.00453</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-rates-for-multi-task-regularization-networks-2104.00453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-rates-for-multi-task-regularization-networks-2104.00453"/></url>
<url><loc>https://scifaro.com/en/abs/towards-creativity-characterization-of-generative-models-via-group-based-subset-scanning-2104.00479</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-creativity-characterization-of-generative-models-via-group-based-subset-scanning-2104.00479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-creativity-characterization-of-generative-models-via-group-based-subset-scanning-2104.00479"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-graph-convolutional-network-for-traffic-prediction-2104.00488</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-graph-convolutional-network-for-traffic-prediction-2104.00488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-graph-convolutional-network-for-traffic-prediction-2104.00488"/></url>
<url><loc>https://scifaro.com/en/abs/pyvertical-a-vertical-federated-learning-framework-for-multi-headed-splitnn-2104.00489</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pyvertical-a-vertical-federated-learning-framework-for-multi-headed-splitnn-2104.00489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pyvertical-a-vertical-federated-learning-framework-for-multi-headed-splitnn-2104.00489"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-optimality-of-the-oja-s-algorithm-for-online-pca-2104.00512</loc><lastmod>2024-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-optimality-of-the-oja-s-algorithm-for-online-pca-2104.00512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-optimality-of-the-oja-s-algorithm-for-online-pca-2104.00512"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-imaging-and-characterization-of-volatile-aerosols-in-e-cigarette-emissions-using-deep-learning-based-holographic-microscopy-2104.00525</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-imaging-and-characterization-of-volatile-aerosols-in-e-cigarette-emissions-using-deep-learning-based-holographic-microscopy-2104.00525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-imaging-and-characterization-of-volatile-aerosols-in-e-cigarette-emissions-using-deep-learning-based-holographic-microscopy-2104.00525"/></url>
<url><loc>https://scifaro.com/en/abs/fitting-elephants-2104.00526</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitting-elephants-2104.00526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitting-elephants-2104.00526"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-constrained-field-development-optimization-in-subsurface-two-phase-flow-2104.00527</loc><lastmod>2022-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-constrained-field-development-optimization-in-subsurface-two-phase-flow-2104.00527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-constrained-field-development-optimization-in-subsurface-two-phase-flow-2104.00527"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-convolutional-dictionary-learning-2104.00530</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-convolutional-dictionary-learning-2104.00530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-convolutional-dictionary-learning-2104.00530"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-wind-speed-using-artificial-neural-networks-and-anfis-methods-observation-buoy-example-2104.00538</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-wind-speed-using-artificial-neural-networks-and-anfis-methods-observation-buoy-example-2104.00538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-wind-speed-using-artificial-neural-networks-and-anfis-methods-observation-buoy-example-2104.00538"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-beyond-expectation-2104.00540</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-beyond-expectation-2104.00540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-beyond-expectation-2104.00540"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-resource-allocation-in-business-processes-2104.00541</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-resource-allocation-in-business-processes-2104.00541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-resource-allocation-in-business-processes-2104.00541"/></url>
<url><loc>https://scifaro.com/en/abs/rlad-time-series-anomaly-detection-through-reinforcement-learning-and-active-learning-2104.00543</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rlad-time-series-anomaly-detection-through-reinforcement-learning-and-active-learning-2104.00543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rlad-time-series-anomaly-detection-through-reinforcement-learning-and-active-learning-2104.00543"/></url>
<url><loc>https://scifaro.com/en/abs/model-selection-s-disparate-impact-in-real-world-deep-learning-applications-2104.00606</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-selection-s-disparate-impact-in-real-world-deep-learning-applications-2104.00606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-selection-s-disparate-impact-in-real-world-deep-learning-applications-2104.00606"/></url>
<url><loc>https://scifaro.com/en/abs/trs-transferability-reduced-ensemble-via-encouraging-gradient-diversity-and-model-smoothness-2104.00671</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trs-transferability-reduced-ensemble-via-encouraging-gradient-diversity-and-model-smoothness-2104.00671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trs-transferability-reduced-ensemble-via-encouraging-gradient-diversity-and-model-smoothness-2104.00671"/></url>
<url><loc>https://scifaro.com/en/abs/is-label-smoothing-truly-incompatible-with-knowledge-distillation-an-empirical-study-2104.00676</loc><lastmod>2021-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-label-smoothing-truly-incompatible-with-knowledge-distillation-an-empirical-study-2104.00676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-label-smoothing-truly-incompatible-with-knowledge-distillation-an-empirical-study-2104.00676"/></url>
<url><loc>https://scifaro.com/en/abs/brepnet-a-topological-message-passing-system-for-solid-models-2104.00706</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/brepnet-a-topological-message-passing-system-for-solid-models-2104.00706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/brepnet-a-topological-message-passing-system-for-solid-models-2104.00706"/></url>
<url><loc>https://scifaro.com/en/abs/processtransformer-predictive-business-process-monitoring-with-transformer-network-2104.00721</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/processtransformer-predictive-business-process-monitoring-with-transformer-network-2104.00721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/processtransformer-predictive-business-process-monitoring-with-transformer-network-2104.00721"/></url>
<url><loc>https://scifaro.com/en/abs/gabo-graph-augmentations-with-bi-level-optimization-2104.00722</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gabo-graph-augmentations-with-bi-level-optimization-2104.00722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gabo-graph-augmentations-with-bi-level-optimization-2104.00722"/></url>
<url><loc>https://scifaro.com/en/abs/next-generation-multitarget-trackers-random-finite-set-methods-vs-transformer-based-deep-learning-2104.00734</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/next-generation-multitarget-trackers-random-finite-set-methods-vs-transformer-based-deep-learning-2104.00734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/next-generation-multitarget-trackers-random-finite-set-methods-vs-transformer-based-deep-learning-2104.00734"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-calibration-for-domain-generalization-under-covariate-shift-2104.00742</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-calibration-for-domain-generalization-under-covariate-shift-2104.00742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-calibration-for-domain-generalization-under-covariate-shift-2104.00742"/></url>
<url><loc>https://scifaro.com/en/abs/reservoir-based-distributed-machine-learning-for-edge-operation-2104.00751</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reservoir-based-distributed-machine-learning-for-edge-operation-2104.00751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reservoir-based-distributed-machine-learning-for-edge-operation-2104.00751"/></url>
<url><loc>https://scifaro.com/en/abs/reconciling-the-discrete-continuous-divide-towards-a-mathematical-theory-of-sparse-communication-2104.00755</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconciling-the-discrete-continuous-divide-towards-a-mathematical-theory-of-sparse-communication-2104.00755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconciling-the-discrete-continuous-divide-towards-a-mathematical-theory-of-sparse-communication-2104.00755"/></url>
<url><loc>https://scifaro.com/en/abs/coalitional-strategies-for-efficient-individual-prediction-explanation-2104.00765</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coalitional-strategies-for-efficient-individual-prediction-explanation-2104.00765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coalitional-strategies-for-efficient-individual-prediction-explanation-2104.00765"/></url>
<url><loc>https://scifaro.com/en/abs/no-cost-likelihood-manipulation-at-test-time-for-making-better-mistakes-in-deep-networks-2104.00795</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-cost-likelihood-manipulation-at-test-time-for-making-better-mistakes-in-deep-networks-2104.00795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-cost-likelihood-manipulation-at-test-time-for-making-better-mistakes-in-deep-networks-2104.00795"/></url>
<url><loc>https://scifaro.com/en/abs/partition-guided-gans-2104.00816</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partition-guided-gans-2104.00816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partition-guided-gans-2104.00816"/></url>
<url><loc>https://scifaro.com/en/abs/latentclr-a-contrastive-learning-approach-for-unsupervised-discovery-of-interpretable-directions-2104.00820</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latentclr-a-contrastive-learning-approach-for-unsupervised-discovery-of-interpretable-directions-2104.00820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latentclr-a-contrastive-learning-approach-for-unsupervised-discovery-of-interpretable-directions-2104.00820"/></url>
<url><loc>https://scifaro.com/en/abs/how-are-learned-perception-based-controllers-impacted-by-the-limits-of-robust-control-2104.00827</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-are-learned-perception-based-controllers-impacted-by-the-limits-of-robust-control-2104.00827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-are-learned-perception-based-controllers-impacted-by-the-limits-of-robust-control-2104.00827"/></url>
<url><loc>https://scifaro.com/en/abs/diffaqua-a-differentiable-computational-design-pipeline-for-soft-underwater-swimmers-with-shape-interpolation-2104.00837</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffaqua-a-differentiable-computational-design-pipeline-for-soft-underwater-swimmers-with-shape-interpolation-2104.00837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffaqua-a-differentiable-computational-design-pipeline-for-soft-underwater-swimmers-with-shape-interpolation-2104.00837"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-analysis-of-machine-learning-and-grey-models-2104.00871</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-analysis-of-machine-learning-and-grey-models-2104.00871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-analysis-of-machine-learning-and-grey-models-2104.00871"/></url>
<url><loc>https://scifaro.com/en/abs/efficacy-of-bayesian-neural-networks-in-active-learning-2104.00896</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficacy-of-bayesian-neural-networks-in-active-learning-2104.00896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficacy-of-bayesian-neural-networks-in-active-learning-2104.00896"/></url>
<url><loc>https://scifaro.com/en/abs/multi-class-data-description-for-out-of-distribution-detection-2104.00941</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-class-data-description-for-out-of-distribution-detection-2104.00941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-class-data-description-for-out-of-distribution-detection-2104.00941"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-artificial-intelligence-xai-on-timeseries-data-a-survey-2104.00950</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-artificial-intelligence-xai-on-timeseries-data-a-survey-2104.00950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-artificial-intelligence-xai-on-timeseries-data-a-survey-2104.00950"/></url>
<url><loc>https://scifaro.com/en/abs/skillful-precipitation-nowcasting-using-deep-generative-models-of-radar-2104.00954</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skillful-precipitation-nowcasting-using-deep-generative-models-of-radar-2104.00954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skillful-precipitation-nowcasting-using-deep-generative-models-of-radar-2104.00954"/></url>
<url><loc>https://scifaro.com/en/abs/resource-aware-time-series-imaging-classification-for-wireless-link-layer-anomalies-2104.00972</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resource-aware-time-series-imaging-classification-for-wireless-link-layer-anomalies-2104.00972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resource-aware-time-series-imaging-classification-for-wireless-link-layer-anomalies-2104.00972"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-structural-learning-for-an-improved-diagnosis-of-cyber-physical-systems-2104.00987</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-structural-learning-for-an-improved-diagnosis-of-cyber-physical-systems-2104.00987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-structural-learning-for-an-improved-diagnosis-of-cyber-physical-systems-2104.00987"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-reduction-in-sample-complexity-with-learning-of-ising-model-dynamics-2104.00995</loc><lastmod>2022-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-reduction-in-sample-complexity-with-learning-of-ising-model-dynamics-2104.00995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-reduction-in-sample-complexity-with-learning-of-ising-model-dynamics-2104.00995"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-similarity-based-instance-selection-methods-for-cross-project-defect-prediction-2104.01024</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-similarity-based-instance-selection-methods-for-cross-project-defect-prediction-2104.01024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-similarity-based-instance-selection-methods-for-cross-project-defect-prediction-2104.01024"/></url>
<url><loc>https://scifaro.com/en/abs/surfacing-estimation-uncertainty-in-the-decay-parameters-of-hawkes-processes-with-exponential-kernels-2104.01029</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surfacing-estimation-uncertainty-in-the-decay-parameters-of-hawkes-processes-with-exponential-kernels-2104.01029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surfacing-estimation-uncertainty-in-the-decay-parameters-of-hawkes-processes-with-exponential-kernels-2104.01029"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-offline-continuous-time-reinforcement-learning-with-neural-physics-informed-pdes-sciphy-rl-for-doctr-l-2104.01040</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-offline-continuous-time-reinforcement-learning-with-neural-physics-informed-pdes-sciphy-rl-for-doctr-l-2104.01040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-offline-continuous-time-reinforcement-learning-with-neural-physics-informed-pdes-sciphy-rl-for-doctr-l-2104.01040"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-anomalies-through-contrast-in-heterogeneous-data-2104.01156</loc><lastmod>2021-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-anomalies-through-contrast-in-heterogeneous-data-2104.01156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-anomalies-through-contrast-in-heterogeneous-data-2104.01156"/></url>
<url><loc>https://scifaro.com/en/abs/how-powerful-are-performance-predictors-in-neural-architecture-search-2104.01177</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-powerful-are-performance-predictors-in-neural-architecture-search-2104.01177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-powerful-are-performance-predictors-in-neural-architecture-search-2104.01177"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-convex-artificial-neural-networks-picanns-for-optimal-transport-based-density-estimation-2104.01194</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-convex-artificial-neural-networks-picanns-for-optimal-transport-based-density-estimation-2104.01194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-convex-artificial-neural-networks-picanns-for-optimal-transport-based-density-estimation-2104.01194"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-censored-mobility-demand-through-quantile-regression-neural-networks-2104.01214</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-censored-mobility-demand-through-quantile-regression-neural-networks-2104.01214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-censored-mobility-demand-through-quantile-regression-neural-networks-2104.01214"/></url>
<url><loc>https://scifaro.com/en/abs/diverse-gaussian-noise-consistency-regularization-for-robustness-and-uncertainty-calibration-2104.01231</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diverse-gaussian-noise-consistency-regularization-for-robustness-and-uncertainty-calibration-2104.01231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diverse-gaussian-noise-consistency-regularization-for-robustness-and-uncertainty-calibration-2104.01231"/></url>
<url><loc>https://scifaro.com/en/abs/tight-compression-compressing-cnn-through-fine-grained-pruning-and-weight-permutation-for-efficient-implementation-2104.01303</loc><lastmod>2024-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tight-compression-compressing-cnn-through-fine-grained-pruning-and-weight-permutation-for-efficient-implementation-2104.01303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tight-compression-compressing-cnn-through-fine-grained-pruning-and-weight-permutation-for-efficient-implementation-2104.01303"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-universum-quadratic-surface-support-vector-machine-models-for-binary-classification-2104.01331</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-universum-quadratic-surface-support-vector-machine-models-for-binary-classification-2104.01331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-universum-quadratic-surface-support-vector-machine-models-for-binary-classification-2104.01331"/></url>
<url><loc>https://scifaro.com/en/abs/random-features-for-the-neural-tangent-kernel-2104.01351</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-features-for-the-neural-tangent-kernel-2104.01351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-features-for-the-neural-tangent-kernel-2104.01351"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-explainable-artificial-intelligence-methods-for-multi-label-deep-learning-classification-tasks-in-remote-sensing-2104.01375</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-explainable-artificial-intelligence-methods-for-multi-label-deep-learning-classification-tasks-in-remote-sensing-2104.01375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-explainable-artificial-intelligence-methods-for-multi-label-deep-learning-classification-tasks-in-remote-sensing-2104.01375"/></url>
<url><loc>https://scifaro.com/en/abs/joint-geometric-and-topological-analysis-of-hierarchical-datasets-2104.01395</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-geometric-and-topological-analysis-of-hierarchical-datasets-2104.01395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-geometric-and-topological-analysis-of-hierarchical-datasets-2104.01395"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-robustness-as-a-verification-property-a-principled-case-study-2104.01396</loc><lastmod>2022-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-robustness-as-a-verification-property-a-principled-case-study-2104.01396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-robustness-as-a-verification-property-a-principled-case-study-2104.01396"/></url>
<url><loc>https://scifaro.com/en/abs/new-benchmarks-for-learning-on-non-homophilous-graphs-2104.01404</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-benchmarks-for-learning-on-non-homophilous-graphs-2104.01404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-benchmarks-for-learning-on-non-homophilous-graphs-2104.01404"/></url>
<url><loc>https://scifaro.com/en/abs/a-large-scale-study-on-unsupervised-outlier-model-selection-do-internal-strategies-suffice-2104.01422</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-large-scale-study-on-unsupervised-outlier-model-selection-do-internal-strategies-suffice-2104.01422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-large-scale-study-on-unsupervised-outlier-model-selection-do-internal-strategies-suffice-2104.01422"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-simulation-of-sdes-using-gans-2104.01437</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-simulation-of-sdes-using-gans-2104.01437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-simulation-of-sdes-using-gans-2104.01437"/></url>
<url><loc>https://scifaro.com/en/abs/cohortney-non-parametric-clustering-of-event-sequences-2104.01440</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cohortney-non-parametric-clustering-of-event-sequences-2104.01440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cohortney-non-parametric-clustering-of-event-sequences-2104.01440"/></url>
<url><loc>https://scifaro.com/en/abs/a-surrogate-loss-function-for-optimization-of-f-beta-score-in-binary-classification-with-imbalanced-data-2104.01459</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-surrogate-loss-function-for-optimization-of-f-beta-score-in-binary-classification-with-imbalanced-data-2104.01459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-surrogate-loss-function-for-optimization-of-f-beta-score-in-binary-classification-with-imbalanced-data-2104.01459"/></url>
<url><loc>https://scifaro.com/en/abs/do-we-need-anisotropic-graph-neural-networks-2104.01481</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-we-need-anisotropic-graph-neural-networks-2104.01481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-we-need-anisotropic-graph-neural-networks-2104.01481"/></url>
<url><loc>https://scifaro.com/en/abs/training-deep-normalizing-flow-models-in-highly-incomplete-data-scenarios-with-prior-regularization-2104.01482</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-deep-normalizing-flow-models-in-highly-incomplete-data-scenarios-with-prior-regularization-2104.01482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-deep-normalizing-flow-models-in-highly-incomplete-data-scenarios-with-prior-regularization-2104.01482"/></url>
<url><loc>https://scifaro.com/en/abs/exponentiated-gradient-reweighting-for-robust-training-under-label-noise-and-beyond-2104.01493</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponentiated-gradient-reweighting-for-robust-training-under-label-noise-and-beyond-2104.01493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponentiated-gradient-reweighting-for-robust-training-under-label-noise-and-beyond-2104.01493"/></url>
<url><loc>https://scifaro.com/en/abs/towards-self-adaptive-metric-learning-on-the-fly-2104.01495</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-self-adaptive-metric-learning-on-the-fly-2104.01495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-self-adaptive-metric-learning-on-the-fly-2104.01495"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-statistical-inference-with-unrolled-graph-neural-networks-2104.01555</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-statistical-inference-with-unrolled-graph-neural-networks-2104.01555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-statistical-inference-with-unrolled-graph-neural-networks-2104.01555"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-regularization-for-multi-source-domain-adaptation-2104.01568</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-regularization-for-multi-source-domain-adaptation-2104.01568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-regularization-for-multi-source-domain-adaptation-2104.01568"/></url>
<url><loc>https://scifaro.com/en/abs/reliably-fast-adversarial-training-via-latent-adversarial-perturbation-2104.01575</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliably-fast-adversarial-training-via-latent-adversarial-perturbation-2104.01575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliably-fast-adversarial-training-via-latent-adversarial-perturbation-2104.01575"/></url>
<url><loc>https://scifaro.com/en/abs/class-incremental-learning-using-a-sequence-of-partial-implicitly-regularized-classifiers-2104.01577</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-incremental-learning-using-a-sequence-of-partial-implicitly-regularized-classifiers-2104.01577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-incremental-learning-using-a-sequence-of-partial-implicitly-regularized-classifiers-2104.01577"/></url>
<url><loc>https://scifaro.com/en/abs/stoppage-spatio-temporal-data-driven-cloud-fog-edge-computing-framework-for-pandemic-monitoring-and-management-2104.01600</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stoppage-spatio-temporal-data-driven-cloud-fog-edge-computing-framework-for-pandemic-monitoring-and-management-2104.01600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stoppage-spatio-temporal-data-driven-cloud-fog-edge-computing-framework-for-pandemic-monitoring-and-management-2104.01600"/></url>
<url><loc>https://scifaro.com/en/abs/isconna-streaming-anomaly-detection-with-frequency-and-patterns-2104.01632</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/isconna-streaming-anomaly-detection-with-frequency-and-patterns-2104.01632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/isconna-streaming-anomaly-detection-with-frequency-and-patterns-2104.01632"/></url>
<url><loc>https://scifaro.com/en/abs/pareto-efficient-fairness-in-supervised-learning-from-extraction-to-tracing-2104.01634</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pareto-efficient-fairness-in-supervised-learning-from-extraction-to-tracing-2104.01634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pareto-efficient-fairness-in-supervised-learning-from-extraction-to-tracing-2104.01634"/></url>
<url><loc>https://scifaro.com/en/abs/solo-search-online-learn-offline-for-combinatorial-optimization-problems-2104.01646</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solo-search-online-learn-offline-for-combinatorial-optimization-problems-2104.01646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solo-search-online-learn-offline-for-combinatorial-optimization-problems-2104.01646"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-transformers-in-reinforcement-learning-using-actor-learner-distillation-2104.01655</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-transformers-in-reinforcement-learning-using-actor-learner-distillation-2104.01655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-transformers-in-reinforcement-learning-using-actor-learner-distillation-2104.01655"/></url>
<url><loc>https://scifaro.com/en/abs/a-contrastive-rule-for-meta-learning-2104.01677</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-contrastive-rule-for-meta-learning-2104.01677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-contrastive-rule-for-meta-learning-2104.01677"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-continual-learning-settings-with-data-distribution-drift-analysis-2104.01678</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-continual-learning-settings-with-data-distribution-drift-analysis-2104.01678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-continual-learning-settings-with-data-distribution-drift-analysis-2104.01678"/></url>
<url><loc>https://scifaro.com/en/abs/faster-convolution-inference-through-using-pre-calculated-lookup-tables-2104.01681</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-convolution-inference-through-using-pre-calculated-lookup-tables-2104.01681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-convolution-inference-through-using-pre-calculated-lookup-tables-2104.01681"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-kolmogorov-arnold-network-2104.01714</loc><lastmod>2024-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-kolmogorov-arnold-network-2104.01714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-kolmogorov-arnold-network-2104.01714"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-flight-delay-prediction-under-concept-drift-2104.01720</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-flight-delay-prediction-under-concept-drift-2104.01720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-flight-delay-prediction-under-concept-drift-2104.01720"/></url>
<url><loc>https://scifaro.com/en/abs/explainability-aided-domain-generalization-for-image-classification-2104.01742</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainability-aided-domain-generalization-for-image-classification-2104.01742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainability-aided-domain-generalization-for-image-classification-2104.01742"/></url>
<url><loc>https://scifaro.com/en/abs/fast-design-space-exploration-of-nonlinear-systems-part-i-2104.01747</loc><lastmod>2022-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-design-space-exploration-of-nonlinear-systems-part-i-2104.01747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-design-space-exploration-of-nonlinear-systems-part-i-2104.01747"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-sampling-gaps-for-adaptive-submodular-maximization-2104.01750</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-sampling-gaps-for-adaptive-submodular-maximization-2104.01750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-sampling-gaps-for-adaptive-submodular-maximization-2104.01750"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-mergers-and-acquisitions-using-graph-based-deep-learning-2104.01757</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-mergers-and-acquisitions-using-graph-based-deep-learning-2104.01757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-mergers-and-acquisitions-using-graph-based-deep-learning-2104.01757"/></url>
<url><loc>https://scifaro.com/en/abs/procrustean-training-for-imbalanced-deep-learning-2104.01769</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/procrustean-training-for-imbalanced-deep-learning-2104.01769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/procrustean-training-for-imbalanced-deep-learning-2104.01769"/></url>
<url><loc>https://scifaro.com/en/abs/neural-clinical-event-sequence-prediction-through-personalized-online-adaptive-learning-2104.01787</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-clinical-event-sequence-prediction-through-personalized-online-adaptive-learning-2104.01787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-clinical-event-sequence-prediction-through-personalized-online-adaptive-learning-2104.01787"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-autonomous-driving-systems-a-survey-of-attacks-and-defenses-2104.01789</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-autonomous-driving-systems-a-survey-of-attacks-and-defenses-2104.01789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-autonomous-driving-systems-a-survey-of-attacks-and-defenses-2104.01789"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-multi-source-domain-adaptation-without-access-to-source-data-2104.01845</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-multi-source-domain-adaptation-without-access-to-source-data-2104.01845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-multi-source-domain-adaptation-without-access-to-source-data-2104.01845"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-expressive-power-of-graph-neural-network-with-tinhofer-algorithm-2104.01848</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-expressive-power-of-graph-neural-network-with-tinhofer-algorithm-2104.01848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-expressive-power-of-graph-neural-network-with-tinhofer-algorithm-2104.01848"/></url>
<url><loc>https://scifaro.com/en/abs/conformal-testing-in-a-binary-model-situation-2104.01885</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformal-testing-in-a-binary-model-situation-2104.01885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformal-testing-in-a-binary-model-situation-2104.01885"/></url>
<url><loc>https://scifaro.com/en/abs/novel-dnns-for-stiff-odes-with-applications-to-chemically-reacting-flows-2104.01914</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novel-dnns-for-stiff-odes-with-applications-to-chemically-reacting-flows-2104.01914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novel-dnns-for-stiff-odes-with-applications-to-chemically-reacting-flows-2104.01914"/></url>
<url><loc>https://scifaro.com/en/abs/dexdeepfm-ensemble-diversity-enhanced-extreme-deep-factorization-machine-model-2104.01924</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dexdeepfm-ensemble-diversity-enhanced-extreme-deep-factorization-machine-model-2104.01924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dexdeepfm-ensemble-diversity-enhanced-extreme-deep-factorization-machine-model-2104.01924"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-query-complexity-of-secure-stochastic-convex-optimization-2104.01926</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-query-complexity-of-secure-stochastic-convex-optimization-2104.01926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-query-complexity-of-secure-stochastic-convex-optimization-2104.01926"/></url>
<url><loc>https://scifaro.com/en/abs/performance-evaluation-of-machine-learning-techniques-for-dos-detection-in-wireless-sensor-network-2104.01963</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-evaluation-of-machine-learning-techniques-for-dos-detection-in-wireless-sensor-network-2104.01963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-evaluation-of-machine-learning-techniques-for-dos-detection-in-wireless-sensor-network-2104.01963"/></url>
<url><loc>https://scifaro.com/en/abs/ecrm-efficient-fault-tolerance-for-recommendation-model-training-via-erasure-coding-2104.01981</loc><lastmod>2021-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ecrm-efficient-fault-tolerance-for-recommendation-model-training-via-erasure-coding-2104.01981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ecrm-efficient-fault-tolerance-for-recommendation-model-training-via-erasure-coding-2104.01981"/></url>
<url><loc>https://scifaro.com/en/abs/quantized-gromov-wasserstein-2104.02013</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantized-gromov-wasserstein-2104.02013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantized-gromov-wasserstein-2104.02013"/></url>
<url><loc>https://scifaro.com/en/abs/segmentation-of-em-showers-for-neutrino-experiments-with-deep-graph-neural-networks-2104.02040</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/segmentation-of-em-showers-for-neutrino-experiments-with-deep-graph-neural-networks-2104.02040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/segmentation-of-em-showers-for-neutrino-experiments-with-deep-graph-neural-networks-2104.02040"/></url>
<url><loc>https://scifaro.com/en/abs/a-concise-review-of-transfer-learning-2104.02144</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-concise-review-of-transfer-learning-2104.02144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-concise-review-of-transfer-learning-2104.02144"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-clustering-with-inaccurate-pairwise-annotations-2104.02146</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-clustering-with-inaccurate-pairwise-annotations-2104.02146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-clustering-with-inaccurate-pairwise-annotations-2104.02146"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-learning-in-wireless-networks-recent-progress-and-future-challenges-2104.02151</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-learning-in-wireless-networks-recent-progress-and-future-challenges-2104.02151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-learning-in-wireless-networks-recent-progress-and-future-challenges-2104.02151"/></url>
<url><loc>https://scifaro.com/en/abs/label-gcn-an-effective-method-for-adding-label-propagation-to-graph-convolutional-networks-2104.02153</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-gcn-an-effective-method-for-adding-label-propagation-to-graph-convolutional-networks-2104.02153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-gcn-an-effective-method-for-adding-label-propagation-to-graph-convolutional-networks-2104.02153"/></url>
<url><loc>https://scifaro.com/en/abs/identity-and-posture-recognition-in-smart-beds-with-deep-multitask-learning-2104.02159</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identity-and-posture-recognition-in-smart-beds-with-deep-multitask-learning-2104.02159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identity-and-posture-recognition-in-smart-beds-with-deep-multitask-learning-2104.02159"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-driven-personalized-smart-lighting-recommender-system-2104.02164</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-driven-personalized-smart-lighting-recommender-system-2104.02164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-driven-personalized-smart-lighting-recommender-system-2104.02164"/></url>
<url><loc>https://scifaro.com/en/abs/a-flexible-and-fast-pytorch-toolkit-for-simulating-training-and-inference-on-analog-crossbar-arrays-2104.02184</loc><lastmod>2023-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-flexible-and-fast-pytorch-toolkit-for-simulating-training-and-inference-on-analog-crossbar-arrays-2104.02184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-flexible-and-fast-pytorch-toolkit-for-simulating-training-and-inference-on-analog-crossbar-arrays-2104.02184"/></url>
<url><loc>https://scifaro.com/en/abs/robust-classification-under-ell-0-attack-for-the-gaussian-mixture-model-2104.02189</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-classification-under-ell-0-attack-for-the-gaussian-mixture-model-2104.02189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-classification-under-ell-0-attack-for-the-gaussian-mixture-model-2104.02189"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-medical-conversations-rich-transcription-confidence-scores-information-extraction-2104.02219</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-medical-conversations-rich-transcription-confidence-scores-information-extraction-2104.02219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-medical-conversations-rich-transcription-confidence-scores-information-extraction-2104.02219"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-categorical-label-representations-for-image-classification-2104.02226</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-categorical-label-representations-for-image-classification-2104.02226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-categorical-label-representations-for-image-classification-2104.02226"/></url>
<url><loc>https://scifaro.com/en/abs/hyperbolic-variational-graph-neural-network-for-modeling-dynamic-graphs-2104.02228</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperbolic-variational-graph-neural-network-for-modeling-dynamic-graphs-2104.02228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperbolic-variational-graph-neural-network-for-modeling-dynamic-graphs-2104.02228"/></url>
<url><loc>https://scifaro.com/en/abs/iot-security-botnet-detection-in-iot-using-machine-learning-2104.02231</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iot-security-botnet-detection-in-iot-using-machine-learning-2104.02231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iot-security-botnet-detection-in-iot-using-machine-learning-2104.02231"/></url>
<url><loc>https://scifaro.com/en/abs/tent-efficient-quantization-of-neural-networks-on-the-tiny-edge-with-tapered-fixed-point-2104.02233</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tent-efficient-quantization-of-neural-networks-on-the-tiny-edge-with-tapered-fixed-point-2104.02233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tent-efficient-quantization-of-neural-networks-on-the-tiny-edge-with-tapered-fixed-point-2104.02233"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-graph-convolutional-networks-for-road-network-inundation-status-prediction-during-urban-flooding-2104.02276</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-graph-convolutional-networks-for-road-network-inundation-status-prediction-during-urban-flooding-2104.02276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-graph-convolutional-networks-for-road-network-inundation-status-prediction-during-urban-flooding-2104.02276"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-activity-pattern-generation-incorporating-deep-learning-for-transport-demand-models-2104.02278</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-activity-pattern-generation-incorporating-deep-learning-for-transport-demand-models-2104.02278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-activity-pattern-generation-incorporating-deep-learning-for-transport-demand-models-2104.02278"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-optimality-of-batch-policy-optimization-algorithms-2104.02293</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-optimality-of-batch-policy-optimization-algorithms-2104.02293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-optimality-of-batch-policy-optimization-algorithms-2104.02293"/></url>
<url><loc>https://scifaro.com/en/abs/shapley-explanation-networks-2104.02297</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shapley-explanation-networks-2104.02297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shapley-explanation-networks-2104.02297"/></url>
<url><loc>https://scifaro.com/en/abs/balancing-predictive-relevance-of-ligand-biochemical-activities-2104.02307</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balancing-predictive-relevance-of-ligand-biochemical-activities-2104.02307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balancing-predictive-relevance-of-ligand-biochemical-activities-2104.02307"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-ensemble-method-with-negative-correlation-learning-for-regression-2104.02317</loc><lastmod>2023-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-ensemble-method-with-negative-correlation-learning-for-regression-2104.02317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-ensemble-method-with-negative-correlation-learning-for-regression-2104.02317"/></url>
<url><loc>https://scifaro.com/en/abs/robust-adversarial-classification-via-abstaining-2104.02334</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-adversarial-classification-via-abstaining-2104.02334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-adversarial-classification-via-abstaining-2104.02334"/></url>
<url><loc>https://scifaro.com/en/abs/classification-with-runge-kutta-networks-and-feature-space-augmentation-2104.02369</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-with-runge-kutta-networks-and-feature-space-augmentation-2104.02369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-with-runge-kutta-networks-and-feature-space-augmentation-2104.02369"/></url>
<url><loc>https://scifaro.com/en/abs/the-fragility-of-noise-estimation-in-kalman-filter-optimization-can-handle-model-misspecification-2104.02372</loc><lastmod>2022-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-fragility-of-noise-estimation-in-kalman-filter-optimization-can-handle-model-misspecification-2104.02372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-fragility-of-noise-estimation-in-kalman-filter-optimization-can-handle-model-misspecification-2104.02372"/></url>
<url><loc>https://scifaro.com/en/abs/leverage-score-sampling-for-complete-mode-coverage-in-generative-adversarial-networks-2104.02373</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leverage-score-sampling-for-complete-mode-coverage-in-generative-adversarial-networks-2104.02373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leverage-score-sampling-for-complete-mode-coverage-in-generative-adversarial-networks-2104.02373"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-of-gans-and-overparameterized-models-under-lipschitz-continuity-2104.02388</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-of-gans-and-overparameterized-models-under-lipschitz-continuity-2104.02388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-of-gans-and-overparameterized-models-under-lipschitz-continuity-2104.02388"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-deep-learning-a-review-2104.02395</loc><lastmod>2022-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-deep-learning-a-review-2104.02395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-deep-learning-a-review-2104.02395"/></url>
<url><loc>https://scifaro.com/en/abs/mpc-based-reinforcement-learning-for-economic-problems-with-application-to-battery-storage-2104.02411</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mpc-based-reinforcement-learning-for-economic-problems-with-application-to-battery-storage-2104.02411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mpc-based-reinforcement-learning-for-economic-problems-with-application-to-battery-storage-2104.02411"/></url>
<url><loc>https://scifaro.com/en/abs/mshine-a-multiple-meta-paths-simultaneous-learning-framework-for-heterogeneous-information-network-embedding-2104.02433</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mshine-a-multiple-meta-paths-simultaneous-learning-framework-for-heterogeneous-information-network-embedding-2104.02433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mshine-a-multiple-meta-paths-simultaneous-learning-framework-for-heterogeneous-information-network-embedding-2104.02433"/></url>
<url><loc>https://scifaro.com/en/abs/a-latent-space-solver-for-pde-generalization-2104.02452</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-latent-space-solver-for-pde-generalization-2104.02452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-latent-space-solver-for-pde-generalization-2104.02452"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-explanations-for-explaining-model-adaptations-2104.02459</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-explanations-for-explaining-model-adaptations-2104.02459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-explanations-for-explaining-model-adaptations-2104.02459"/></url>
<url><loc>https://scifaro.com/en/abs/depth-evaluation-for-metal-surface-defects-by-eddy-current-testing-using-deep-residual-convolutional-neural-networks-2104.02472</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depth-evaluation-for-metal-surface-defects-by-eddy-current-testing-using-deep-residual-convolutional-neural-networks-2104.02472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depth-evaluation-for-metal-surface-defects-by-eddy-current-testing-using-deep-residual-convolutional-neural-networks-2104.02472"/></url>
<url><loc>https://scifaro.com/en/abs/topological-regularization-for-graph-neural-networks-augmentation-2104.02478</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-regularization-for-graph-neural-networks-augmentation-2104.02478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-regularization-for-graph-neural-networks-augmentation-2104.02478"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-semi-supervised-learning-for-corporate-credit-ratings-2104.02479</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-semi-supervised-learning-for-corporate-credit-ratings-2104.02479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-semi-supervised-learning-for-corporate-credit-ratings-2104.02479"/></url>
<url><loc>https://scifaro.com/en/abs/neural-process-for-black-box-model-optimization-under-bayesian-framework-2104.02487</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-process-for-black-box-model-optimization-under-bayesian-framework-2104.02487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-process-for-black-box-model-optimization-under-bayesian-framework-2104.02487"/></url>
<url><loc>https://scifaro.com/en/abs/radarscenes-a-real-world-radar-point-cloud-data-set-for-automotive-applications-2104.02493</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/radarscenes-a-real-world-radar-point-cloud-data-set-for-automotive-applications-2104.02493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/radarscenes-a-real-world-radar-point-cloud-data-set-for-automotive-applications-2104.02493"/></url>
<url><loc>https://scifaro.com/en/abs/an-analysis-of-state-of-the-art-activation-functions-for-supervised-deep-neural-network-2104.02523</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analysis-of-state-of-the-art-activation-functions-for-supervised-deep-neural-network-2104.02523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analysis-of-state-of-the-art-activation-functions-for-supervised-deep-neural-network-2104.02523"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-bias-mitigation-removing-gender-bias-in-deep-learning-2104.02532</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-bias-mitigation-removing-gender-bias-in-deep-learning-2104.02532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-bias-mitigation-removing-gender-bias-in-deep-learning-2104.02532"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-neural-nets-for-control-of-dynamical-systems-2104.02556</loc><lastmod>2024-02-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-neural-nets-for-control-of-dynamical-systems-2104.02556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-neural-nets-for-control-of-dynamical-systems-2104.02556"/></url>
<url><loc>https://scifaro.com/en/abs/structured-citation-trend-prediction-using-graph-neural-networks-2104.02562</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-citation-trend-prediction-using-graph-neural-networks-2104.02562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-citation-trend-prediction-using-graph-neural-networks-2104.02562"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-noisy-labels-via-dynamic-loss-thresholding-2104.02570</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-noisy-labels-via-dynamic-loss-thresholding-2104.02570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-noisy-labels-via-dynamic-loss-thresholding-2104.02570"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-solar-radiation-using-artificial-neural-network-2104.02573</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-solar-radiation-using-artificial-neural-network-2104.02573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-solar-radiation-using-artificial-neural-network-2104.02573"/></url>
<url><loc>https://scifaro.com/en/abs/learnable-dynamic-temporal-pooling-for-time-series-classification-2104.02577</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learnable-dynamic-temporal-pooling-for-time-series-classification-2104.02577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learnable-dynamic-temporal-pooling-for-time-series-classification-2104.02577"/></url>
<url><loc>https://scifaro.com/en/abs/neurons-learn-slower-than-they-think-2104.02578</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neurons-learn-slower-than-they-think-2104.02578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neurons-learn-slower-than-they-think-2104.02578"/></url>
<url><loc>https://scifaro.com/en/abs/noise-estimation-for-generative-diffusion-models-2104.02600</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-estimation-for-generative-diffusion-models-2104.02600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-estimation-for-generative-diffusion-models-2104.02600"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-transfer-and-meta-learning-approaches-on-a-unified-few-shot-classification-benchmark-2104.02638</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-transfer-and-meta-learning-approaches-on-a-unified-few-shot-classification-benchmark-2104.02638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-transfer-and-meta-learning-approaches-on-a-unified-few-shot-classification-benchmark-2104.02638"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-simulation-of-ride-hailing-services-using-imitation-and-reinforcement-learning-2104.02661</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-simulation-of-ride-hailing-services-using-imitation-and-reinforcement-learning-2104.02661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-simulation-of-ride-hailing-services-using-imitation-and-reinforcement-learning-2104.02661"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-parallel-adaptive-clustering-and-its-application-to-streaming-data-2104.02680</loc><lastmod>2021-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-parallel-adaptive-clustering-and-its-application-to-streaming-data-2104.02680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-parallel-adaptive-clustering-and-its-application-to-streaming-data-2104.02680"/></url>
<url><loc>https://scifaro.com/en/abs/the-multi-agent-behavior-dataset-mouse-dyadic-social-interactions-2104.02710</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-multi-agent-behavior-dataset-mouse-dyadic-social-interactions-2104.02710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-multi-agent-behavior-dataset-mouse-dyadic-social-interactions-2104.02710"/></url>
<url><loc>https://scifaro.com/en/abs/creativity-and-machine-learning-a-survey-2104.02726</loc><lastmod>2025-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/creativity-and-machine-learning-a-survey-2104.02726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/creativity-and-machine-learning-a-survey-2104.02726"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-physics-informed-neural-networks-2104.02741</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-physics-informed-neural-networks-2104.02741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-physics-informed-neural-networks-2104.02741"/></url>
<url><loc>https://scifaro.com/en/abs/proof-of-the-theory-to-practice-gap-in-deep-learning-via-sampling-complexity-bounds-for-neural-network-approximation-spaces-2104.02746</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proof-of-the-theory-to-practice-gap-in-deep-learning-via-sampling-complexity-bounds-for-neural-network-approximation-spaces-2104.02746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proof-of-the-theory-to-practice-gap-in-deep-learning-via-sampling-complexity-bounds-for-neural-network-approximation-spaces-2104.02746"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-agnostic-federated-averaging-2104.02748</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-agnostic-federated-averaging-2104.02748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-agnostic-federated-averaging-2104.02748"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-driven-virtual-bidding-with-electricity-market-efficiency-analysis-2104.02754</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-driven-virtual-bidding-with-electricity-market-efficiency-analysis-2104.02754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-driven-virtual-bidding-with-electricity-market-efficiency-analysis-2104.02754"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoder-based-representation-learning-from-heterogeneous-multivariate-time-series-data-of-mechatronic-systems-2104.02784</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoder-based-representation-learning-from-heterogeneous-multivariate-time-series-data-of-mechatronic-systems-2104.02784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoder-based-representation-learning-from-heterogeneous-multivariate-time-series-data-of-mechatronic-systems-2104.02784"/></url>
<url><loc>https://scifaro.com/en/abs/safe-by-repair-a-convex-optimization-approach-for-repairing-unsafe-two-level-lattice-neural-network-controllers-2104.02788</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-by-repair-a-convex-optimization-approach-for-repairing-unsafe-two-level-lattice-neural-network-controllers-2104.02788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-by-repair-a-convex-optimization-approach-for-repairing-unsafe-two-level-lattice-neural-network-controllers-2104.02788"/></url>
<url><loc>https://scifaro.com/en/abs/low-regret-active-learning-2104.02822</loc><lastmod>2022-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-regret-active-learning-2104.02822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-regret-active-learning-2104.02822"/></url>
<url><loc>https://scifaro.com/en/abs/ecole-a-library-for-learning-inside-milp-solvers-2104.02828</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ecole-a-library-for-learning-inside-milp-solvers-2104.02828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ecole-a-library-for-learning-inside-milp-solvers-2104.02828"/></url>
<url><loc>https://scifaro.com/en/abs/non-asymptotic-analysis-for-two-time-scale-tdc-with-general-smooth-function-approximation-2104.02836</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-asymptotic-analysis-for-two-time-scale-tdc-with-general-smooth-function-approximation-2104.02836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-asymptotic-analysis-for-two-time-scale-tdc-with-general-smooth-function-approximation-2104.02836"/></url>
<url><loc>https://scifaro.com/en/abs/quasi-newton-quasi-monte-carlo-for-variational-bayes-2104.02865</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quasi-newton-quasi-monte-carlo-for-variational-bayes-2104.02865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quasi-newton-quasi-monte-carlo-for-variational-bayes-2104.02865"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-critical-role-of-conventions-in-adaptive-human-ai-collaboration-2104.02871</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-critical-role-of-conventions-in-adaptive-human-ai-collaboration-2104.02871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-critical-role-of-conventions-in-adaptive-human-ai-collaboration-2104.02871"/></url>
<url><loc>https://scifaro.com/en/abs/recognizing-and-verifying-mathematical-equations-using-multiplicative-differential-neural-units-2104.02899</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recognizing-and-verifying-mathematical-equations-using-multiplicative-differential-neural-units-2104.02899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recognizing-and-verifying-mathematical-equations-using-multiplicative-differential-neural-units-2104.02899"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-oblique-decision-trees-a-tool-to-understand-and-manipulate-neural-net-features-2104.02922</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-oblique-decision-trees-a-tool-to-understand-and-manipulate-neural-net-features-2104.02922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-oblique-decision-trees-a-tool-to-understand-and-manipulate-neural-net-features-2104.02922"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrapping-your-own-positive-sample-contrastive-learning-with-electronic-health-record-data-2104.02932</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrapping-your-own-positive-sample-contrastive-learning-with-electronic-health-record-data-2104.02932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrapping-your-own-positive-sample-contrastive-learning-with-electronic-health-record-data-2104.02932"/></url>
<url><loc>https://scifaro.com/en/abs/tsception-capturing-temporal-dynamics-and-spatial-asymmetry-from-eeg-for-emotion-recognition-2104.02935</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tsception-capturing-temporal-dynamics-and-spatial-asymmetry-from-eeg-for-emotion-recognition-2104.02935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tsception-capturing-temporal-dynamics-and-spatial-asymmetry-from-eeg-for-emotion-recognition-2104.02935"/></url>
<url><loc>https://scifaro.com/en/abs/deep-interpretable-models-of-theory-of-mind-2104.02938</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-interpretable-models-of-theory-of-mind-2104.02938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-interpretable-models-of-theory-of-mind-2104.02938"/></url>
<url><loc>https://scifaro.com/en/abs/distantly-supervised-transformers-for-e-commerce-product-qa-2104.02947</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distantly-supervised-transformers-for-e-commerce-product-qa-2104.02947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distantly-supervised-transformers-for-e-commerce-product-qa-2104.02947"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-inference-system-for-improved-curvature-estimation-in-the-level-set-method-using-machine-learning-2104.02951</loc><lastmod>2022-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-inference-system-for-improved-curvature-estimation-in-the-level-set-method-using-machine-learning-2104.02951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-inference-system-for-improved-curvature-estimation-in-the-level-set-method-using-machine-learning-2104.02951"/></url>
<url><loc>https://scifaro.com/en/abs/the-emergence-of-abstract-and-episodic-neurons-in-episodic-meta-rl-2104.02959</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-emergence-of-abstract-and-episodic-neurons-in-episodic-meta-rl-2104.02959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-emergence-of-abstract-and-episodic-neurons-in-episodic-meta-rl-2104.02959"/></url>
<url><loc>https://scifaro.com/en/abs/dygcn-dynamic-graph-embedding-with-graph-convolutional-network-2104.02962</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dygcn-dynamic-graph-embedding-with-graph-convolutional-network-2104.02962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dygcn-dynamic-graph-embedding-with-graph-convolutional-network-2104.02962"/></url>
<url><loc>https://scifaro.com/en/abs/theoretically-improving-graph-neural-networks-via-anonymous-walk-graph-kernels-2104.02995</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretically-improving-graph-neural-networks-via-anonymous-walk-graph-kernels-2104.02995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretically-improving-graph-neural-networks-via-anonymous-walk-graph-kernels-2104.02995"/></url>
<url><loc>https://scifaro.com/en/abs/universal-adversarial-training-with-class-wise-perturbations-2104.03000</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-adversarial-training-with-class-wise-perturbations-2104.03000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-adversarial-training-with-class-wise-perturbations-2104.03000"/></url>
<url><loc>https://scifaro.com/en/abs/representative-fair-synthetic-data-2104.03007</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representative-fair-synthetic-data-2104.03007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representative-fair-synthetic-data-2104.03007"/></url>
<url><loc>https://scifaro.com/en/abs/on-device-federated-learning-with-flower-2104.03042</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-device-federated-learning-with-flower-2104.03042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-device-federated-learning-with-flower-2104.03042"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-memory-efficiency-of-graph-neural-networks-on-edge-computing-platforms-2104.03058</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-memory-efficiency-of-graph-neural-networks-on-edge-computing-platforms-2104.03058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-memory-efficiency-of-graph-neural-networks-on-edge-computing-platforms-2104.03058"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-robustness-loss-for-long-tail-learning-2104.03066</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-robustness-loss-for-long-tail-learning-2104.03066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-robustness-loss-for-long-tail-learning-2104.03066"/></url>
<url><loc>https://scifaro.com/en/abs/trajectory-prediction-with-latent-belief-energy-based-model-2104.03086</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trajectory-prediction-with-latent-belief-energy-based-model-2104.03086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trajectory-prediction-with-latent-belief-energy-based-model-2104.03086"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-analysis-of-the-neural-tangent-kernel-for-deep-residual-networks-2104.03093</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-analysis-of-the-neural-tangent-kernel-for-deep-residual-networks-2104.03093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-analysis-of-the-neural-tangent-kernel-for-deep-residual-networks-2104.03093"/></url>
<url><loc>https://scifaro.com/en/abs/risk-conditioned-distributional-soft-actor-critic-for-risk-sensitive-navigation-2104.03111</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-conditioned-distributional-soft-actor-critic-for-risk-sensitive-navigation-2104.03111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-conditioned-distributional-soft-actor-critic-for-risk-sensitive-navigation-2104.03111"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-scaling-laws-with-board-games-2104.03113</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-scaling-laws-with-board-games-2104.03113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-scaling-laws-with-board-games-2104.03113"/></url>
<url><loc>https://scifaro.com/en/abs/partially-connected-differentiable-architecture-search-for-deepfake-and-spoofing-detection-2104.03123</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partially-connected-differentiable-architecture-search-for-deepfake-and-spoofing-detection-2104.03123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partially-connected-differentiable-architecture-search-for-deepfake-and-spoofing-detection-2104.03123"/></url>
<url><loc>https://scifaro.com/en/abs/improving-robustness-of-deep-reinforcement-learning-agents-environment-attack-based-on-the-critic-network-2104.03154</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-robustness-of-deep-reinforcement-learning-agents-environment-attack-based-on-the-critic-network-2104.03154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-robustness-of-deep-reinforcement-learning-agents-environment-attack-based-on-the-critic-network-2104.03154"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-guarantees-for-gaussian-processes-2104.03180</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-guarantees-for-gaussian-processes-2104.03180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-guarantees-for-gaussian-processes-2104.03180"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-and-traffic-classification-lessons-learned-from-a-commercial-grade-dataset-with-hundreds-of-encrypted-and-zero-day-applications-2104.03182</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-and-traffic-classification-lessons-learned-from-a-commercial-grade-dataset-with-hundreds-of-encrypted-and-zero-day-applications-2104.03182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-and-traffic-classification-lessons-learned-from-a-commercial-grade-dataset-with-hundreds-of-encrypted-and-zero-day-applications-2104.03182"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-time-series-forecasting-models-for-estimation-of-pm2-5-levels-in-air-2104.03226</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-time-series-forecasting-models-for-estimation-of-pm2-5-levels-in-air-2104.03226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-time-series-forecasting-models-for-estimation-of-pm2-5-levels-in-air-2104.03226"/></url>
<url><loc>https://scifaro.com/en/abs/modern-hopfield-networks-for-few-and-zero-shot-reaction-template-prediction-2104.03279</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modern-hopfield-networks-for-few-and-zero-shot-reaction-template-prediction-2104.03279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modern-hopfield-networks-for-few-and-zero-shot-reaction-template-prediction-2104.03279"/></url>
<url><loc>https://scifaro.com/en/abs/learned-transform-compression-with-optimized-entropy-encoding-2104.03305</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learned-transform-compression-with-optimized-entropy-encoding-2104.03305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learned-transform-compression-with-optimized-entropy-encoding-2104.03305"/></url>
<url><loc>https://scifaro.com/en/abs/regularizing-generative-adversarial-networks-under-limited-data-2104.03310</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizing-generative-adversarial-networks-under-limited-data-2104.03310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizing-generative-adversarial-networks-under-limited-data-2104.03310"/></url>
<url><loc>https://scifaro.com/en/abs/plasticinelab-a-soft-body-manipulation-benchmark-with-differentiable-physics-2104.03311</loc><lastmod>2021-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plasticinelab-a-soft-body-manipulation-benchmark-with-differentiable-physics-2104.03311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plasticinelab-a-soft-body-manipulation-benchmark-with-differentiable-physics-2104.03311"/></url>
<url><loc>https://scifaro.com/en/abs/universal-spectral-adversarial-attacks-for-deformable-shapes-2104.03356</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-spectral-adversarial-attacks-for-deformable-shapes-2104.03356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-spectral-adversarial-attacks-for-deformable-shapes-2104.03356"/></url>
<url><loc>https://scifaro.com/en/abs/triplot-model-agnostic-measures-and-visualisations-for-variable-importance-in-predictive-models-that-take-into-account-the-hierarchical-correlation-structure-2104.03403</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/triplot-model-agnostic-measures-and-visualisations-for-variable-importance-in-predictive-models-that-take-into-account-the-hierarchical-correlation-structure-2104.03403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/triplot-model-agnostic-measures-and-visualisations-for-variable-importance-in-predictive-models-that-take-into-account-the-hierarchical-correlation-structure-2104.03403"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-the-backdoor-attacks-triggers-a-frequency-perspective-2104.03413</loc><lastmod>2022-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-the-backdoor-attacks-triggers-a-frequency-perspective-2104.03413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-the-backdoor-attacks-triggers-a-frequency-perspective-2104.03413"/></url>
<url><loc>https://scifaro.com/en/abs/generating-multi-type-temporal-sequences-to-mitigate-class-imbalanced-problem-2104.03428</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-multi-type-temporal-sequences-to-mitigate-class-imbalanced-problem-2104.03428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-multi-type-temporal-sequences-to-mitigate-class-imbalanced-problem-2104.03428"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-on-device-neural-network-adaptation-for-remote-and-portable-laser-induced-breakdown-spectroscopy-2104.03439</loc><lastmod>2021-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-on-device-neural-network-adaptation-for-remote-and-portable-laser-induced-breakdown-spectroscopy-2104.03439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-on-device-neural-network-adaptation-for-remote-and-portable-laser-induced-breakdown-spectroscopy-2104.03439"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graph-structures-with-transformer-for-multivariate-time-series-anomaly-detection-in-iot-2104.03466</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graph-structures-with-transformer-for-multivariate-time-series-anomaly-detection-in-iot-2104.03466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graph-structures-with-transformer-for-multivariate-time-series-anomaly-detection-in-iot-2104.03466"/></url>
<url><loc>https://scifaro.com/en/abs/gi-and-pal-scores-deep-neural-network-generalization-statistics-2104.03469</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gi-and-pal-scores-deep-neural-network-generalization-statistics-2104.03469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gi-and-pal-scores-deep-neural-network-generalization-statistics-2104.03469"/></url>
<url><loc>https://scifaro.com/en/abs/joint-optimization-of-communications-and-federated-learning-over-the-air-2104.03490</loc><lastmod>2022-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-optimization-of-communications-and-federated-learning-over-the-air-2104.03490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-optimization-of-communications-and-federated-learning-over-the-air-2104.03490"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-pre-conditioning-active-learning-algorithm-to-reduce-label-complexity-2104.03525</loc><lastmod>2023-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-pre-conditioning-active-learning-algorithm-to-reduce-label-complexity-2104.03525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-pre-conditioning-active-learning-algorithm-to-reduce-label-complexity-2104.03525"/></url>
<url><loc>https://scifaro.com/en/abs/neural-temporal-point-processes-a-review-2104.03528</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-temporal-point-processes-a-review-2104.03528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-temporal-point-processes-a-review-2104.03528"/></url>
<url><loc>https://scifaro.com/en/abs/graph-partitioning-and-sparse-matrix-ordering-using-reinforcement-learning-and-graph-neural-networks-2104.03546</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-partitioning-and-sparse-matrix-ordering-using-reinforcement-learning-and-graph-neural-networks-2104.03546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-partitioning-and-sparse-matrix-ordering-using-reinforcement-learning-and-graph-neural-networks-2104.03546"/></url>
<url><loc>https://scifaro.com/en/abs/gkd-semi-supervised-graph-knowledge-distillation-for-graph-independent-inference-2104.03597</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gkd-semi-supervised-graph-knowledge-distillation-for-graph-independent-inference-2104.03597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gkd-semi-supervised-graph-knowledge-distillation-for-graph-independent-inference-2104.03597"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-aware-remaining-useful-life-predictor-2104.03613</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-aware-remaining-useful-life-predictor-2104.03613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-aware-remaining-useful-life-predictor-2104.03613"/></url>
<url><loc>https://scifaro.com/en/abs/post-hoc-domain-adaptation-via-guided-data-homogenization-2104.03624</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-hoc-domain-adaptation-via-guided-data-homogenization-2104.03624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-hoc-domain-adaptation-via-guided-data-homogenization-2104.03624"/></url>
<url><loc>https://scifaro.com/en/abs/climat-clinically-inspired-multi-agent-transformers-for-knee-osteoarthritis-trajectory-forecasting-2104.03642</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/climat-clinically-inspired-multi-agent-transformers-for-knee-osteoarthritis-trajectory-forecasting-2104.03642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/climat-clinically-inspired-multi-agent-transformers-for-knee-osteoarthritis-trajectory-forecasting-2104.03642"/></url>
<url><loc>https://scifaro.com/en/abs/explainability-based-backdoor-attacks-against-graph-neural-networks-2104.03674</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainability-based-backdoor-attacks-against-graph-neural-networks-2104.03674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainability-based-backdoor-attacks-against-graph-neural-networks-2104.03674"/></url>
<url><loc>https://scifaro.com/en/abs/on-tuning-consistent-annealed-sampling-for-denoising-score-matching-2104.03725</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-tuning-consistent-annealed-sampling-for-denoising-score-matching-2104.03725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-tuning-consistent-annealed-sampling-for-denoising-score-matching-2104.03725"/></url>
<url><loc>https://scifaro.com/en/abs/towards-enabling-meta-learning-from-target-models-2104.03736</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-enabling-meta-learning-from-target-models-2104.03736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-enabling-meta-learning-from-target-models-2104.03736"/></url>
<url><loc>https://scifaro.com/en/abs/carrnn-a-continuous-autoregressive-recurrent-neural-network-for-deep-representation-learning-from-sporadic-temporal-data-2104.03739</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/carrnn-a-continuous-autoregressive-recurrent-neural-network-for-deep-representation-learning-from-sporadic-temporal-data-2104.03739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/carrnn-a-continuous-autoregressive-recurrent-neural-network-for-deep-representation-learning-from-sporadic-temporal-data-2104.03739"/></url>
<url><loc>https://scifaro.com/en/abs/residual-gaussian-process-a-tractable-nonparametric-bayesian-emulator-for-multi-fidelity-simulations-2104.03743</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-gaussian-process-a-tractable-nonparametric-bayesian-emulator-for-multi-fidelity-simulations-2104.03743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-gaussian-process-a-tractable-nonparametric-bayesian-emulator-for-multi-fidelity-simulations-2104.03743"/></url>
<url><loc>https://scifaro.com/en/abs/a-reinforcement-learning-environment-for-job-shop-scheduling-2104.03760</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reinforcement-learning-environment-for-job-shop-scheduling-2104.03760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reinforcement-learning-environment-for-job-shop-scheduling-2104.03760"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-good-representations-in-linear-contextual-bandits-2104.03781</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-good-representations-in-linear-contextual-bandits-2104.03781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-good-representations-in-linear-contextual-bandits-2104.03781"/></url>
<url><loc>https://scifaro.com/en/abs/exact-stochastic-second-order-deep-learning-2104.03804</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-stochastic-second-order-deep-learning-2104.03804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-stochastic-second-order-deep-learning-2104.03804"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-variational-federated-learning-and-unlearning-in-decentralized-networks-2104.03834</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-variational-federated-learning-and-unlearning-in-decentralized-networks-2104.03834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-variational-federated-learning-and-unlearning-in-decentralized-networks-2104.03834"/></url>
<url><loc>https://scifaro.com/en/abs/incentivizing-exploration-in-linear-bandits-under-information-gap-2104.03860</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incentivizing-exploration-in-linear-bandits-under-information-gap-2104.03860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incentivizing-exploration-in-linear-bandits-under-information-gap-2104.03860"/></url>
<url><loc>https://scifaro.com/en/abs/a-single-gradient-step-finds-adversarial-examples-on-random-two-layers-neural-networks-2104.03863</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-single-gradient-step-finds-adversarial-examples-on-random-two-layers-neural-networks-2104.03863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-single-gradient-step-finds-adversarial-examples-on-random-two-layers-neural-networks-2104.03863"/></url>
<url><loc>https://scifaro.com/en/abs/oggn-a-novel-generalized-oracle-guided-generative-architecture-for-modelling-inverse-function-of-artificial-neural-networks-2104.03935</loc><lastmod>2021-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oggn-a-novel-generalized-oracle-guided-generative-architecture-for-modelling-inverse-function-of-artificial-neural-networks-2104.03935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oggn-a-novel-generalized-oracle-guided-generative-architecture-for-modelling-inverse-function-of-artificial-neural-networks-2104.03935"/></url>
<url><loc>https://scifaro.com/en/abs/learning-what-to-do-by-simulating-the-past-2104.03946</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-what-to-do-by-simulating-the-past-2104.03946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-what-to-do-by-simulating-the-past-2104.03946"/></url>
<url><loc>https://scifaro.com/en/abs/acerac-efficient-reinforcement-learning-in-fine-time-discretization-2104.04004</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/acerac-efficient-reinforcement-learning-in-fine-time-discretization-2104.04004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/acerac-efficient-reinforcement-learning-in-fine-time-discretization-2104.04004"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-market-making-by-reinforcement-learning-2104.04036</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-market-making-by-reinforcement-learning-2104.04036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-market-making-by-reinforcement-learning-2104.04036"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-graph-homomorphism-for-classification-via-sampling-2104.04040</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-graph-homomorphism-for-classification-via-sampling-2104.04040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-graph-homomorphism-for-classification-via-sampling-2104.04040"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-assisted-feature-selection-for-vehicle-price-prediction-modeling-2104.04049</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-assisted-feature-selection-for-vehicle-price-prediction-modeling-2104.04049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-assisted-feature-selection-for-vehicle-price-prediction-modeling-2104.04049"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-rigorous-evaluation-of-explainability-for-multivariate-time-series-2104.04075</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-rigorous-evaluation-of-explainability-for-multivariate-time-series-2104.04075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-rigorous-evaluation-of-explainability-for-multivariate-time-series-2104.04075"/></url>
<url><loc>https://scifaro.com/en/abs/progressive-extension-of-reinforcement-learning-action-dimension-for-asymmetric-assembly-tasks-2104.04078</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progressive-extension-of-reinforcement-learning-action-dimension-for-asymmetric-assembly-tasks-2104.04078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progressive-extension-of-reinforcement-learning-action-dimension-for-asymmetric-assembly-tasks-2104.04078"/></url>
<url><loc>https://scifaro.com/en/abs/design-and-implementation-of-an-environment-for-learning-to-run-a-power-network-l2rpn-2104.04080</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/design-and-implementation-of-an-environment-for-learning-to-run-a-power-network-l2rpn-2104.04080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/design-and-implementation-of-an-environment-for-learning-to-run-a-power-network-l2rpn-2104.04080"/></url>
<url><loc>https://scifaro.com/en/abs/a-design-space-study-for-lista-and-beyond-2104.04110</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-design-space-study-for-lista-and-beyond-2104.04110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-design-space-study-for-lista-and-beyond-2104.04110"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretical-analysis-of-learning-with-noisily-labeled-data-2104.04114</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-analysis-of-learning-with-noisily-labeled-data-2104.04114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-analysis-of-learning-with-noisily-labeled-data-2104.04114"/></url>
<url><loc>https://scifaro.com/en/abs/fl-agcns-federated-learning-framework-for-automatic-graph-convolutional-network-search-2104.04141</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fl-agcns-federated-learning-framework-for-automatic-graph-convolutional-network-search-2104.04141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fl-agcns-federated-learning-framework-for-automatic-graph-convolutional-network-search-2104.04141"/></url>
<url><loc>https://scifaro.com/en/abs/individual-explanations-in-machine-learning-models-a-survey-for-practitioners-2104.04144</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/individual-explanations-in-machine-learning-models-a-survey-for-practitioners-2104.04144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/individual-explanations-in-machine-learning-models-a-survey-for-practitioners-2104.04144"/></url>
<url><loc>https://scifaro.com/en/abs/individual-explanations-in-machine-learning-models-a-case-study-on-poverty-estimation-2104.04148</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/individual-explanations-in-machine-learning-models-a-case-study-on-poverty-estimation-2104.04148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/individual-explanations-in-machine-learning-models-a-case-study-on-poverty-estimation-2104.04148"/></url>
<url><loc>https://scifaro.com/en/abs/egan-unsupervised-approach-to-class-imbalance-using-transfer-learning-2104.04162</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/egan-unsupervised-approach-to-class-imbalance-using-transfer-learning-2104.04162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/egan-unsupervised-approach-to-class-imbalance-using-transfer-learning-2104.04162"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-reweight-imaginary-transitions-for-model-based-reinforcement-learning-2104.04174</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-reweight-imaginary-transitions-for-model-based-reinforcement-learning-2104.04174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-reweight-imaginary-transitions-for-model-based-reinforcement-learning-2104.04174"/></url>
<url><loc>https://scifaro.com/en/abs/inode-building-an-end-to-end-data-exploration-system-in-practice-extended-vision-2104.04194</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inode-building-an-end-to-end-data-exploration-system-in-practice-extended-vision-2104.04194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inode-building-an-end-to-end-data-exploration-system-in-practice-extended-vision-2104.04194"/></url>
<url><loc>https://scifaro.com/en/abs/granger-causality-based-hierarchical-time-series-clustering-for-state-estimation-2104.04206</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/granger-causality-based-hierarchical-time-series-clustering-for-state-estimation-2104.04206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/granger-causality-based-hierarchical-time-series-clustering-for-state-estimation-2104.04206"/></url>
<url><loc>https://scifaro.com/en/abs/transforming-feature-space-to-interpret-machine-learning-models-2104.04295</loc><lastmod>2023-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transforming-feature-space-to-interpret-machine-learning-models-2104.04295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transforming-feature-space-to-interpret-machine-learning-models-2104.04295"/></url>
<url><loc>https://scifaro.com/en/abs/cropgym-a-reinforcement-learning-environment-for-crop-management-2104.04326</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cropgym-a-reinforcement-learning-environment-for-crop-management-2104.04326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cropgym-a-reinforcement-learning-environment-for-crop-management-2104.04326"/></url>
<url><loc>https://scifaro.com/en/abs/a-graph-vae-and-graph-transformer-approach-to-generating-molecular-graphs-2104.04345</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-graph-vae-and-graph-transformer-approach-to-generating-molecular-graphs-2104.04345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-graph-vae-and-graph-transformer-approach-to-generating-molecular-graphs-2104.04345"/></url>
<url><loc>https://scifaro.com/en/abs/implementing-fair-regression-in-the-real-world-2104.04353</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementing-fair-regression-in-the-real-world-2104.04353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementing-fair-regression-in-the-real-world-2104.04353"/></url>
<url><loc>https://scifaro.com/en/abs/blending-knowledge-in-deep-recurrent-networks-for-adverse-event-prediction-at-hospital-discharge-2104.04377</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blending-knowledge-in-deep-recurrent-networks-for-adverse-event-prediction-at-hospital-discharge-2104.04377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blending-knowledge-in-deep-recurrent-networks-for-adverse-event-prediction-at-hospital-discharge-2104.04377"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sampling-policy-for-faster-derivative-free-optimization-2104.04405</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sampling-policy-for-faster-derivative-free-optimization-2104.04405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sampling-policy-for-faster-derivative-free-optimization-2104.04405"/></url>
<url><loc>https://scifaro.com/en/abs/provable-repair-of-deep-neural-networks-2104.04413</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-repair-of-deep-neural-networks-2104.04413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-repair-of-deep-neural-networks-2104.04413"/></url>
<url><loc>https://scifaro.com/en/abs/behavior-guided-actor-critic-improving-exploration-via-learning-policy-behavior-representation-for-deep-reinforcement-learning-2104.04424</loc><lastmod>2021-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/behavior-guided-actor-critic-improving-exploration-via-learning-policy-behavior-representation-for-deep-reinforcement-learning-2104.04424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/behavior-guided-actor-critic-improving-exploration-via-learning-policy-behavior-representation-for-deep-reinforcement-learning-2104.04424"/></url>
<url><loc>https://scifaro.com/en/abs/relating-adversarially-robust-generalization-to-flat-minima-2104.04448</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relating-adversarially-robust-generalization-to-flat-minima-2104.04448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relating-adversarially-robust-generalization-to-flat-minima-2104.04448"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-class-incremental-learning-through-confusion-2104.04450</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-class-incremental-learning-through-confusion-2104.04450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-class-incremental-learning-through-confusion-2104.04450"/></url>
<url><loc>https://scifaro.com/en/abs/jamming-resilient-path-planning-for-multiple-uavs-via-deep-reinforcement-learning-2104.04477</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jamming-resilient-path-planning-for-multiple-uavs-via-deep-reinforcement-learning-2104.04477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jamming-resilient-path-planning-for-multiple-uavs-via-deep-reinforcement-learning-2104.04477"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-reinforcement-learning-a-control-lyapunov-approach-2104.04483</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-a-control-lyapunov-approach-2104.04483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-a-control-lyapunov-approach-2104.04483"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-driven-approach-to-full-field-damage-and-failure-pattern-prediction-in-microstructure-dependent-composites-using-deep-learning-2104.04485</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-driven-approach-to-full-field-damage-and-failure-pattern-prediction-in-microstructure-dependent-composites-using-deep-learning-2104.04485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-driven-approach-to-full-field-damage-and-failure-pattern-prediction-in-microstructure-dependent-composites-using-deep-learning-2104.04485"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-neural-representations-of-volumetric-scalar-fields-2104.04523</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-neural-representations-of-volumetric-scalar-fields-2104.04523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-neural-representations-of-volumetric-scalar-fields-2104.04523"/></url>
<url><loc>https://scifaro.com/en/abs/high-throughput-virtual-screening-of-small-molecule-inhibitors-for-sars-cov-2-protein-targets-with-deep-fusion-models-2104.04547</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-throughput-virtual-screening-of-small-molecule-inhibitors-for-sars-cov-2-protein-targets-with-deep-fusion-models-2104.04547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-throughput-virtual-screening-of-small-molecule-inhibitors-for-sars-cov-2-protein-targets-with-deep-fusion-models-2104.04547"/></url>
<url><loc>https://scifaro.com/en/abs/patient-contrastive-learning-a-performant-expressive-and-practical-approach-to-ecg-modeling-2104.04569</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/patient-contrastive-learning-a-performant-expressive-and-practical-approach-to-ecg-modeling-2104.04569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/patient-contrastive-learning-a-performant-expressive-and-practical-approach-to-ecg-modeling-2104.04569"/></url>
<url><loc>https://scifaro.com/en/abs/deepsith-efficient-learning-via-decomposition-of-what-and-when-across-time-scales-2104.04646</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepsith-efficient-learning-via-decomposition-of-what-and-when-across-time-scales-2104.04646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepsith-efficient-learning-via-decomposition-of-what-and-when-across-time-scales-2104.04646"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-bidirectional-update-rules-2104.04657</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-bidirectional-update-rules-2104.04657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-bidirectional-update-rules-2104.04657"/></url>
<url><loc>https://scifaro.com/en/abs/on-universal-black-box-domain-adaptation-2104.04665</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-universal-black-box-domain-adaptation-2104.04665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-universal-black-box-domain-adaptation-2104.04665"/></url>
<url><loc>https://scifaro.com/en/abs/highly-efficient-knowledge-graph-embedding-learning-with-orthogonal-procrustes-analysis-2104.04676</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/highly-efficient-knowledge-graph-embedding-learning-with-orthogonal-procrustes-analysis-2104.04676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/highly-efficient-knowledge-graph-embedding-learning-with-orthogonal-procrustes-analysis-2104.04676"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-computation-of-b-ezier-simplices-2104.04679</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-computation-of-b-ezier-simplices-2104.04679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-computation-of-b-ezier-simplices-2104.04679"/></url>
<url><loc>https://scifaro.com/en/abs/pyramidal-reservoir-graph-neural-network-2104.04710</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pyramidal-reservoir-graph-neural-network-2104.04710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pyramidal-reservoir-graph-neural-network-2104.04710"/></url>
<url><loc>https://scifaro.com/en/abs/use-of-metamorphic-relations-as-knowledge-carriers-to-train-deep-neural-networks-2104.04718</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/use-of-metamorphic-relations-as-knowledge-carriers-to-train-deep-neural-networks-2104.04718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/use-of-metamorphic-relations-as-knowledge-carriers-to-train-deep-neural-networks-2104.04718"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-trained-nonnegative-matrix-factorization-2104.04757</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-trained-nonnegative-matrix-factorization-2104.04757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-trained-nonnegative-matrix-factorization-2104.04757"/></url>
<url><loc>https://scifaro.com/en/abs/boosted-embeddings-for-time-series-forecasting-2104.04781</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosted-embeddings-for-time-series-forecasting-2104.04781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosted-embeddings-for-time-series-forecasting-2104.04781"/></url>
<url><loc>https://scifaro.com/en/abs/smart-vectorizations-for-single-and-multiparameter-persistence-2104.04787</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smart-vectorizations-for-single-and-multiparameter-persistence-2104.04787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smart-vectorizations-for-single-and-multiparameter-persistence-2104.04787"/></url>
<url><loc>https://scifaro.com/en/abs/what-makes-an-effective-scalarising-function-for-multi-objective-bayesian-optimisation-2104.04790</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-makes-an-effective-scalarising-function-for-multi-objective-bayesian-optimisation-2104.04790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-makes-an-effective-scalarising-function-for-multi-objective-bayesian-optimisation-2104.04790"/></url>
<url><loc>https://scifaro.com/en/abs/a-swarm-variant-for-the-schr-odinger-solver-2104.04795</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-swarm-variant-for-the-schr-odinger-solver-2104.04795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-swarm-variant-for-the-schr-odinger-solver-2104.04795"/></url>
<url><loc>https://scifaro.com/en/abs/autoequivariant-network-search-via-group-decomposition-2104.04848</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoequivariant-network-search-via-group-decomposition-2104.04848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoequivariant-network-search-via-group-decomposition-2104.04848"/></url>
<url><loc>https://scifaro.com/en/abs/data-free-knowledge-distillation-with-soft-targeted-transfer-set-synthesis-2104.04868</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-free-knowledge-distillation-with-soft-targeted-transfer-set-synthesis-2104.04868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-free-knowledge-distillation-with-soft-targeted-transfer-set-synthesis-2104.04868"/></url>
<url><loc>https://scifaro.com/en/abs/sgd-implicitly-regularizes-generalization-error-2104.04874</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgd-implicitly-regularizes-generalization-error-2104.04874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgd-implicitly-regularizes-generalization-error-2104.04874"/></url>
<url><loc>https://scifaro.com/en/abs/graph-representation-learning-in-biomedicine-2104.04883</loc><lastmod>2025-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-representation-learning-in-biomedicine-2104.04883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-representation-learning-in-biomedicine-2104.04883"/></url>
<url><loc>https://scifaro.com/en/abs/description-of-structural-biases-and-associated-data-in-sensor-rich-environments-2104.04885</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/description-of-structural-biases-and-associated-data-in-sensor-rich-environments-2104.04885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/description-of-structural-biases-and-associated-data-in-sensor-rich-environments-2104.04885"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-regularization-as-stackelberg-game-an-unrolled-optimization-approach-2104.04886</loc><lastmod>2022-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-regularization-as-stackelberg-game-an-unrolled-optimization-approach-2104.04886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-regularization-as-stackelberg-game-an-unrolled-optimization-approach-2104.04886"/></url>
<url><loc>https://scifaro.com/en/abs/affinity-based-hierarchical-learning-of-dependent-concepts-for-human-activity-recognition-2104.04889</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/affinity-based-hierarchical-learning-of-dependent-concepts-for-human-activity-recognition-2104.04889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/affinity-based-hierarchical-learning-of-dependent-concepts-for-human-activity-recognition-2104.04889"/></url>
<url><loc>https://scifaro.com/en/abs/the-atari-data-scraper-2104.04893</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-atari-data-scraper-2104.04893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-atari-data-scraper-2104.04893"/></url>
<url><loc>https://scifaro.com/en/abs/auto-weighted-multi-view-feature-selection-with-graph-optimization-2104.04906</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-weighted-multi-view-feature-selection-with-graph-optimization-2104.04906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-weighted-multi-view-feature-selection-with-graph-optimization-2104.04906"/></url>
<url><loc>https://scifaro.com/en/abs/autogl-a-library-for-automated-graph-learning-2104.04987</loc><lastmod>2024-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autogl-a-library-for-automated-graph-learning-2104.04987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autogl-a-library-for-automated-graph-learning-2104.04987"/></url>
<url><loc>https://scifaro.com/en/abs/alt-mas-a-data-efficient-framework-for-active-testing-of-machine-learning-algorithms-2104.04999</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alt-mas-a-data-efficient-framework-for-active-testing-of-machine-learning-algorithms-2104.04999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alt-mas-a-data-efficient-framework-for-active-testing-of-machine-learning-algorithms-2104.04999"/></url>
<url><loc>https://scifaro.com/en/abs/saddlepoints-in-unsupervised-least-squares-2104.05000</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/saddlepoints-in-unsupervised-least-squares-2104.05000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/saddlepoints-in-unsupervised-least-squares-2104.05000"/></url>
<url><loc>https://scifaro.com/en/abs/tednet-a-pytorch-toolkit-for-tensor-decomposition-networks-2104.05018</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tednet-a-pytorch-toolkit-for-tensor-decomposition-networks-2104.05018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tednet-a-pytorch-toolkit-for-tensor-decomposition-networks-2104.05018"/></url>
<url><loc>https://scifaro.com/en/abs/new-insights-on-reducing-abrupt-representation-change-in-online-continual-learning-2104.05025</loc><lastmod>2022-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-insights-on-reducing-abrupt-representation-change-in-online-continual-learning-2104.05025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-insights-on-reducing-abrupt-representation-change-in-online-continual-learning-2104.05025"/></url>
<url><loc>https://scifaro.com/en/abs/learn-goal-conditioned-policy-with-intrinsic-motivation-for-deep-reinforcement-learning-2104.05043</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-goal-conditioned-policy-with-intrinsic-motivation-for-deep-reinforcement-learning-2104.05043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-goal-conditioned-policy-with-intrinsic-motivation-for-deep-reinforcement-learning-2104.05043"/></url>
<url><loc>https://scifaro.com/en/abs/rank-r-fnn-a-tensor-based-learning-model-for-high-order-data-classification-2104.05048</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-r-fnn-a-tensor-based-learning-model-for-high-order-data-classification-2104.05048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-r-fnn-a-tensor-based-learning-model-for-high-order-data-classification-2104.05048"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-with-end-to-end-models-for-improved-remaining-useful-life-prognostics-2104.05049</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-with-end-to-end-models-for-improved-remaining-useful-life-prognostics-2104.05049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-with-end-to-end-models-for-improved-remaining-useful-life-prognostics-2104.05049"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-model-robustness-through-discrete-adversarial-training-2104.05062</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-model-robustness-through-discrete-adversarial-training-2104.05062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-model-robustness-through-discrete-adversarial-training-2104.05062"/></url>
<url><loc>https://scifaro.com/en/abs/cope-conditional-image-generation-using-polynomial-expansions-2104.05077</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cope-conditional-image-generation-using-polynomial-expansions-2104.05077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cope-conditional-image-generation-using-polynomial-expansions-2104.05077"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-censored-and-dependent-data-the-case-of-linear-dynamics-2104.05087</loc><lastmod>2023-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-censored-and-dependent-data-the-case-of-linear-dynamics-2104.05087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-censored-and-dependent-data-the-case-of-linear-dynamics-2104.05087"/></url>
<url><loc>https://scifaro.com/en/abs/the-world-as-a-graph-improving-el-ni-no-forecasts-with-graph-neural-networks-2104.05089</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-world-as-a-graph-improving-el-ni-no-forecasts-with-graph-neural-networks-2104.05089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-world-as-a-graph-improving-el-ni-no-forecasts-with-graph-neural-networks-2104.05089"/></url>
<url><loc>https://scifaro.com/en/abs/weak-form-generalized-hamiltonian-learning-2104.05096</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weak-form-generalized-hamiltonian-learning-2104.05096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weak-form-generalized-hamiltonian-learning-2104.05096"/></url>
<url><loc>https://scifaro.com/en/abs/pay-attention-to-your-loss-understanding-misconceptions-about-1-lipschitz-neural-networks-2104.05097</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pay-attention-to-your-loss-understanding-misconceptions-about-1-lipschitz-neural-networks-2104.05097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pay-attention-to-your-loss-understanding-misconceptions-about-1-lipschitz-neural-networks-2104.05097"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-approach-to-uncovering-residential-energy-consumption-patterns-based-on-socioeconomic-and-smart-meter-data-2104.05154</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-approach-to-uncovering-residential-energy-consumption-patterns-based-on-socioeconomic-and-smart-meter-data-2104.05154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-approach-to-uncovering-residential-energy-consumption-patterns-based-on-socioeconomic-and-smart-meter-data-2104.05154"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-learning-systems-with-first-order-methods-2104.05245</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-learning-systems-with-first-order-methods-2104.05245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-learning-systems-with-first-order-methods-2104.05245"/></url>
<url><loc>https://scifaro.com/en/abs/pure-exploration-with-structured-preference-feedback-2104.05294</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pure-exploration-with-structured-preference-feedback-2104.05294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pure-exploration-with-structured-preference-feedback-2104.05294"/></url>
<url><loc>https://scifaro.com/en/abs/landmark-regularization-ranking-guided-super-net-training-in-neural-architecture-search-2104.05309</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/landmark-regularization-ranking-guided-super-net-training-in-neural-architecture-search-2104.05309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/landmark-regularization-ranking-guided-super-net-training-in-neural-architecture-search-2104.05309"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-2d-method-for-training-super-large-deep-learning-models-2104.05343</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-2d-method-for-training-super-large-deep-learning-models-2104.05343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-2d-method-for-training-super-large-deep-learning-models-2104.05343"/></url>
<url><loc>https://scifaro.com/en/abs/how-sensitive-are-meta-learners-to-dataset-imbalance-2104.05344</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-sensitive-are-meta-learners-to-dataset-imbalance-2104.05344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-sensitive-are-meta-learners-to-dataset-imbalance-2104.05344"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-coding-frontend-for-robust-neural-networks-2104.05353</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-coding-frontend-for-robust-neural-networks-2104.05353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-coding-frontend-for-robust-neural-networks-2104.05353"/></url>
<url><loc>https://scifaro.com/en/abs/an-approach-to-symbolic-regression-using-feyn-2104.05417</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-approach-to-symbolic-regression-using-feyn-2104.05417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-approach-to-symbolic-regression-using-feyn-2104.05417"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-learning-of-global-local-video-representations-2104.05418</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-learning-of-global-local-video-representations-2104.05418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-learning-of-global-local-video-representations-2104.05418"/></url>
<url><loc>https://scifaro.com/en/abs/nullanet-tiny-ultra-low-latency-dnn-inference-through-fixed-function-combinational-logic-2104.05421</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nullanet-tiny-ultra-low-latency-dnn-inference-through-fixed-function-combinational-logic-2104.05421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nullanet-tiny-ultra-low-latency-dnn-inference-through-fixed-function-combinational-logic-2104.05421"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-for-weighted-signal-temporal-logic-2104.05435</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-for-weighted-signal-temporal-logic-2104.05435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-for-weighted-signal-temporal-logic-2104.05435"/></url>
<url><loc>https://scifaro.com/en/abs/symmetry-reduction-for-deep-reinforcement-learning-active-control-of-chaotic-spatiotemporal-dynamics-2104.05437</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetry-reduction-for-deep-reinforcement-learning-active-control-of-chaotic-spatiotemporal-dynamics-2104.05437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetry-reduction-for-deep-reinforcement-learning-active-control-of-chaotic-spatiotemporal-dynamics-2104.05437"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-network-for-supervised-learning-at-finite-temperature-2104.05439</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-network-for-supervised-learning-at-finite-temperature-2104.05439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-network-for-supervised-learning-at-finite-temperature-2104.05439"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-distribution-detection-in-satellite-image-classification-2104.05442</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-distribution-detection-in-satellite-image-classification-2104.05442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-distribution-detection-in-satellite-image-classification-2104.05442"/></url>
<url><loc>https://scifaro.com/en/abs/trusting-small-training-dataset-for-supervised-change-detection-2104.05443</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trusting-small-training-dataset-for-supervised-change-detection-2104.05443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trusting-small-training-dataset-for-supervised-change-detection-2104.05443"/></url>
<url><loc>https://scifaro.com/en/abs/meta-regularization-an-approach-to-adaptive-choice-of-the-learning-rate-in-gradient-descent-2104.05447</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-regularization-an-approach-to-adaptive-choice-of-the-learning-rate-in-gradient-descent-2104.05447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-regularization-an-approach-to-adaptive-choice-of-the-learning-rate-in-gradient-descent-2104.05447"/></url>
<url><loc>https://scifaro.com/en/abs/deep-transformer-networks-for-time-series-classification-the-npp-safety-case-2104.05448</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-transformer-networks-for-time-series-classification-the-npp-safety-case-2104.05448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-transformer-networks-for-time-series-classification-the-npp-safety-case-2104.05448"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-power-control-beamforming-in-heterogeneous-wireless-networks-with-graph-neural-networks-2104.05463</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-power-control-beamforming-in-heterogeneous-wireless-networks-with-graph-neural-networks-2104.05463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-power-control-beamforming-in-heterogeneous-wireless-networks-with-graph-neural-networks-2104.05463"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-prediction-discrepancies-in-machine-learning-classifiers-2104.05467</loc><lastmod>2024-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-prediction-discrepancies-in-machine-learning-classifiers-2104.05467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-prediction-discrepancies-in-machine-learning-classifiers-2104.05467"/></url>
<url><loc>https://scifaro.com/en/abs/noether-the-more-things-change-the-more-stay-the-same-2104.05508</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noether-the-more-things-change-the-more-stay-the-same-2104.05508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noether-the-more-things-change-the-more-stay-the-same-2104.05508"/></url>
<url><loc>https://scifaro.com/en/abs/threshold-based-data-exclusion-approach-for-energy-efficient-federated-edge-learning-2104.05509</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/threshold-based-data-exclusion-approach-for-energy-efficient-federated-edge-learning-2104.05509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/threshold-based-data-exclusion-approach-for-energy-efficient-federated-edge-learning-2104.05509"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-learning-for-solution-operators-of-partial-differential-equations-2104.05512</loc><lastmod>2024-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-learning-for-solution-operators-of-partial-differential-equations-2104.05512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-learning-for-solution-operators-of-partial-differential-equations-2104.05512"/></url>
<url><loc>https://scifaro.com/en/abs/neural-basis-expansion-analysis-with-exogenous-variables-forecasting-electricity-prices-with-nbeatsx-2104.05522</loc><lastmod>2022-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-basis-expansion-analysis-with-exogenous-variables-forecasting-electricity-prices-with-nbeatsx-2104.05522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-basis-expansion-analysis-with-exogenous-variables-forecasting-electricity-prices-with-nbeatsx-2104.05522"/></url>
<url><loc>https://scifaro.com/en/abs/traffic-forecasting-using-vehicle-to-vehicle-communication-2104.05528</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/traffic-forecasting-using-vehicle-to-vehicle-communication-2104.05528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/traffic-forecasting-using-vehicle-to-vehicle-communication-2104.05528"/></url>
<url><loc>https://scifaro.com/en/abs/on-analyzing-churn-prediction-in-mobile-games-2104.05554</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-analyzing-churn-prediction-in-mobile-games-2104.05554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-analyzing-churn-prediction-in-mobile-games-2104.05554"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-iot-2104.05569</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-iot-2104.05569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-iot-2104.05569"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-neural-network-training-with-distributed-asynchronous-and-selective-optimization-daso-2104.05588</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-neural-network-training-with-distributed-asynchronous-and-selective-optimization-daso-2104.05588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-neural-network-training-with-distributed-asynchronous-and-selective-optimization-daso-2104.05588"/></url>
<url><loc>https://scifaro.com/en/abs/consequence-aware-sequential-counterfactual-generation-2104.05592</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consequence-aware-sequential-counterfactual-generation-2104.05592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consequence-aware-sequential-counterfactual-generation-2104.05592"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-performance-guarantees-for-deep-stochastic-networks-in-medical-imaging-2104.05600</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-performance-guarantees-for-deep-stochastic-networks-in-medical-imaging-2104.05600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-performance-guarantees-for-deep-stochastic-networks-in-medical-imaging-2104.05600"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-overparameterization-in-generative-adversarial-networks-2104.05605</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-overparameterization-in-generative-adversarial-networks-2104.05605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-overparameterization-in-generative-adversarial-networks-2104.05605"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-algorithm-for-deep-stochastic-contextual-bandits-2104.05613</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-algorithm-for-deep-stochastic-contextual-bandits-2104.05613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-algorithm-for-deep-stochastic-contextual-bandits-2104.05613"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-optimal-random-embeddings-2104.05628</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-optimal-random-embeddings-2104.05628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-optimal-random-embeddings-2104.05628"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-world-models-facilitate-zero-shot-dynamics-generalization-from-a-single-offline-environment-2104.05632</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-world-models-facilitate-zero-shot-dynamics-generalization-from-a-single-offline-environment-2104.05632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-world-models-facilitate-zero-shot-dynamics-generalization-from-a-single-offline-environment-2104.05632"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-via-distillation-2104.05641</loc><lastmod>2021-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-via-distillation-2104.05641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-via-distillation-2104.05641"/></url>
<url><loc>https://scifaro.com/en/abs/extraction-and-analysis-of-highway-on-ramp-merging-scenarios-from-naturalistic-trajectory-data-2104.05661</loc><lastmod>2022-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extraction-and-analysis-of-highway-on-ramp-merging-scenarios-from-naturalistic-trajectory-data-2104.05661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extraction-and-analysis-of-highway-on-ramp-merging-scenarios-from-naturalistic-trajectory-data-2104.05661"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-medical-code-assignment-2104.05741</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-medical-code-assignment-2104.05741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-medical-code-assignment-2104.05741"/></url>
<url><loc>https://scifaro.com/en/abs/practical-defences-against-model-inversion-attacks-for-split-neural-networks-2104.05743</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-defences-against-model-inversion-attacks-for-split-neural-networks-2104.05743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-defences-against-model-inversion-attacks-for-split-neural-networks-2104.05743"/></url>
<url><loc>https://scifaro.com/en/abs/censored-semi-bandits-for-resource-allocation-2104.05781</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/censored-semi-bandits-for-resource-allocation-2104.05781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/censored-semi-bandits-for-resource-allocation-2104.05781"/></url>
<url><loc>https://scifaro.com/en/abs/a-recipe-for-global-convergence-guarantee-in-deep-neural-networks-2104.05785</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-recipe-for-global-convergence-guarantee-in-deep-neural-networks-2104.05785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-recipe-for-global-convergence-guarantee-in-deep-neural-networks-2104.05785"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-optimal-transport-algorithm-by-accelerated-gradient-descent-2104.05802</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-optimal-transport-algorithm-by-accelerated-gradient-descent-2104.05802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-optimal-transport-algorithm-by-accelerated-gradient-descent-2104.05802"/></url>
<url><loc>https://scifaro.com/en/abs/does-my-representation-capture-x-probe-ably-2104.05807</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-my-representation-capture-x-probe-ably-2104.05807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-my-representation-capture-x-probe-ably-2104.05807"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-user-s-income-estimation-with-super-app-alternative-data-2104.05831</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-user-s-income-estimation-with-super-app-alternative-data-2104.05831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-user-s-income-estimation-with-super-app-alternative-data-2104.05831"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-hypernetworks-for-novel-feature-adaptation-2104.05860</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-hypernetworks-for-novel-feature-adaptation-2104.05860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-hypernetworks-for-novel-feature-adaptation-2104.05860"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-validity-of-kernel-approximations-for-orthogonally-initialized-neural-networks-2104.05878</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-validity-of-kernel-approximations-for-orthogonally-initialized-neural-networks-2104.05878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-validity-of-kernel-approximations-for-orthogonally-initialized-neural-networks-2104.05878"/></url>
<url><loc>https://scifaro.com/en/abs/simpler-certified-radius-maximization-by-propagating-covariances-2104.05888</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simpler-certified-radius-maximization-by-propagating-covariances-2104.05888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simpler-certified-radius-maximization-by-propagating-covariances-2104.05888"/></url>
<url><loc>https://scifaro.com/en/abs/gsa-forecaster-forecasting-graph-based-time-dependent-data-with-graph-sequence-attention-2104.05914</loc><lastmod>2025-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gsa-forecaster-forecasting-graph-based-time-dependent-data-with-graph-sequence-attention-2104.05914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gsa-forecaster-forecasting-graph-based-time-dependent-data-with-graph-sequence-attention-2104.05914"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-bayesian-autoencoders-with-mcmc-2104.05915</loc><lastmod>2022-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-bayesian-autoencoders-with-mcmc-2104.05915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-bayesian-autoencoders-with-mcmc-2104.05915"/></url>
<url><loc>https://scifaro.com/en/abs/thief-beware-of-what-get-you-there-towards-understanding-model-extraction-attack-2104.05921</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thief-beware-of-what-get-you-there-towards-understanding-model-extraction-attack-2104.05921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thief-beware-of-what-get-you-there-towards-understanding-model-extraction-attack-2104.05921"/></url>
<url><loc>https://scifaro.com/en/abs/distilling-wikipedia-mathematical-knowledge-into-neural-network-models-2104.05930</loc><lastmod>2022-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilling-wikipedia-mathematical-knowledge-into-neural-network-models-2104.05930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilling-wikipedia-mathematical-knowledge-into-neural-network-models-2104.05930"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-equilibrium-networks-flexible-dynamic-models-with-guaranteed-stability-and-robustness-2104.05942</loc><lastmod>2023-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-equilibrium-networks-flexible-dynamic-models-with-guaranteed-stability-and-robustness-2104.05942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-equilibrium-networks-flexible-dynamic-models-with-guaranteed-stability-and-robustness-2104.05942"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-adaptive-pooling-by-capturing-high-order-dependency-for-graph-representation-learning-2104.05960</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-adaptive-pooling-by-capturing-high-order-dependency-for-graph-representation-learning-2104.05960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-adaptive-pooling-by-capturing-high-order-dependency-for-graph-representation-learning-2104.05960"/></url>
<url><loc>https://scifaro.com/en/abs/tracking-translation-invariance-in-cnns-2104.05997</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tracking-translation-invariance-in-cnns-2104.05997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tracking-translation-invariance-in-cnns-2104.05997"/></url>
<url><loc>https://scifaro.com/en/abs/finite-volume-neural-network-modeling-subsurface-contaminant-transport-2104.06010</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-volume-neural-network-modeling-subsurface-contaminant-transport-2104.06010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-volume-neural-network-modeling-subsurface-contaminant-transport-2104.06010"/></url>
<url><loc>https://scifaro.com/en/abs/sample-based-and-feature-based-federated-learning-for-unconstrained-and-constrained-nonconvex-optimization-via-mini-batch-ssca-2104.06011</loc><lastmod>2022-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-based-and-feature-based-federated-learning-for-unconstrained-and-constrained-nonconvex-optimization-via-mini-batch-ssca-2104.06011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-based-and-feature-based-federated-learning-for-unconstrained-and-constrained-nonconvex-optimization-via-mini-batch-ssca-2104.06011"/></url>
<url><loc>https://scifaro.com/en/abs/conclusive-local-interpretation-rules-for-random-forests-2104.06040</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conclusive-local-interpretation-rules-for-random-forests-2104.06040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conclusive-local-interpretation-rules-for-random-forests-2104.06040"/></url>
<url><loc>https://scifaro.com/en/abs/which-hyperparameters-to-optimise-an-investigation-of-evolutionary-hyperparameter-optimisation-in-graph-neural-network-for-molecular-property-prediction-2104.06046</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-hyperparameters-to-optimise-an-investigation-of-evolutionary-hyperparameter-optimisation-in-graph-neural-network-for-molecular-property-prediction-2104.06046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-hyperparameters-to-optimise-an-investigation-of-evolutionary-hyperparameter-optimisation-in-graph-neural-network-for-molecular-property-prediction-2104.06046"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-ski-rental-problem-2104.06050</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-ski-rental-problem-2104.06050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-ski-rental-problem-2104.06050"/></url>
<url><loc>https://scifaro.com/en/abs/lionets-a-neural-specific-local-interpretation-technique-exploiting-penultimate-layer-information-2104.06057</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lionets-a-neural-specific-local-interpretation-technique-exploiting-penultimate-layer-information-2104.06057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lionets-a-neural-specific-local-interpretation-technique-exploiting-penultimate-layer-information-2104.06057"/></url>
<url><loc>https://scifaro.com/en/abs/model-learning-with-personalized-interpretability-estimation-ml-pie-2104.06060</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-learning-with-personalized-interpretability-estimation-ml-pie-2104.06060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-learning-with-personalized-interpretability-estimation-ml-pie-2104.06060"/></url>
<url><loc>https://scifaro.com/en/abs/1-bit-lamb-communication-efficient-large-scale-large-batch-training-with-lamb-s-convergence-speed-2104.06069</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/1-bit-lamb-communication-efficient-large-scale-large-batch-training-with-lamb-s-convergence-speed-2104.06069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/1-bit-lamb-communication-efficient-large-scale-large-batch-training-with-lamb-s-convergence-speed-2104.06069"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-deep-evidential-regression-2104.06135</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-deep-evidential-regression-2104.06135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-deep-evidential-regression-2104.06135"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-the-long-term-average-reward-for-continuing-mdps-a-technical-report-2104.06139</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-the-long-term-average-reward-for-continuing-mdps-a-technical-report-2104.06139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-the-long-term-average-reward-for-continuing-mdps-a-technical-report-2104.06139"/></url>
<url><loc>https://scifaro.com/en/abs/the-impact-of-activation-sparsity-on-overfitting-in-convolutional-neural-networks-2104.06153</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-impact-of-activation-sparsity-on-overfitting-in-convolutional-neural-networks-2104.06153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-impact-of-activation-sparsity-on-overfitting-in-convolutional-neural-networks-2104.06153"/></url>
<url><loc>https://scifaro.com/en/abs/muesli-combining-improvements-in-policy-optimization-2104.06159</loc><lastmod>2022-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/muesli-combining-improvements-in-policy-optimization-2104.06159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/muesli-combining-improvements-in-policy-optimization-2104.06159"/></url>
<url><loc>https://scifaro.com/en/abs/reward-shaping-with-dynamic-trajectory-aggregation-2104.06163</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reward-shaping-with-dynamic-trajectory-aggregation-2104.06163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reward-shaping-with-dynamic-trajectory-aggregation-2104.06163"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-recover-orientations-from-projections-in-single-particle-cryo-em-2104.06237</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-recover-orientations-from-projections-in-single-particle-cryo-em-2104.06237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-recover-orientations-from-projections-in-single-particle-cryo-em-2104.06237"/></url>
<url><loc>https://scifaro.com/en/abs/a-tale-of-two-lexica-testing-computational-hypotheses-with-deep-convolutional-neural-networks-2104.06271</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tale-of-two-lexica-testing-computational-hypotheses-with-deep-convolutional-neural-networks-2104.06271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tale-of-two-lexica-testing-computational-hypotheses-with-deep-convolutional-neural-networks-2104.06271"/></url>
<url><loc>https://scifaro.com/en/abs/podracer-architectures-for-scalable-reinforcement-learning-2104.06272</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/podracer-architectures-for-scalable-reinforcement-learning-2104.06272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/podracer-architectures-for-scalable-reinforcement-learning-2104.06272"/></url>
<url><loc>https://scifaro.com/en/abs/online-and-offline-reinforcement-learning-by-planning-with-a-learned-model-2104.06294</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-and-offline-reinforcement-learning-by-planning-with-a-learned-model-2104.06294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-and-offline-reinforcement-learning-by-planning-with-a-learned-model-2104.06294"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-autoencoders-and-adversarial-lstm-for-improved-forecasts-of-urban-air-pollution-simulations-2104.06297</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-autoencoders-and-adversarial-lstm-for-improved-forecasts-of-urban-air-pollution-simulations-2104.06297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-autoencoders-and-adversarial-lstm-for-improved-forecasts-of-urban-air-pollution-simulations-2104.06297"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-planning-in-complex-action-spaces-2104.06303</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-planning-in-complex-action-spaces-2104.06303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-planning-in-complex-action-spaces-2104.06303"/></url>
<url><loc>https://scifaro.com/en/abs/probing-negative-sampling-strategies-to-learn-graphrepresentations-via-unsupervised-contrastive-learning-2104.06317</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probing-negative-sampling-strategies-to-learn-graphrepresentations-via-unsupervised-contrastive-learning-2104.06317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probing-negative-sampling-strategies-to-learn-graphrepresentations-via-unsupervised-contrastive-learning-2104.06317"/></url>
<url><loc>https://scifaro.com/en/abs/delta-clue-diverse-sets-of-explanations-for-uncertainty-estimates-2104.06323</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delta-clue-diverse-sets-of-explanations-for-uncertainty-estimates-2104.06323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delta-clue-diverse-sets-of-explanations-for-uncertainty-estimates-2104.06323"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-forecast-models-for-tbm-load-parameters-based-on-machine-learning-methods-2104.06353</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-forecast-models-for-tbm-load-parameters-based-on-machine-learning-methods-2104.06353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-forecast-models-for-tbm-load-parameters-based-on-machine-learning-methods-2104.06353"/></url>
<url><loc>https://scifaro.com/en/abs/gpu-semiring-primitives-for-sparse-neighborhood-methods-2104.06357</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gpu-semiring-primitives-for-sparse-neighborhood-methods-2104.06357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gpu-semiring-primitives-for-sparse-neighborhood-methods-2104.06357"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-reinforcement-learning-for-virtual-character-animation-control-2104.06358</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-reinforcement-learning-for-virtual-character-animation-control-2104.06358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-reinforcement-learning-for-virtual-character-animation-control-2104.06358"/></url>
<url><loc>https://scifaro.com/en/abs/neuro-symbolic-vqa-a-review-from-the-perspective-of-agi-desiderata-2104.06365</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuro-symbolic-vqa-a-review-from-the-perspective-of-agi-desiderata-2104.06365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuro-symbolic-vqa-a-review-from-the-perspective-of-agi-desiderata-2104.06365"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-adversarial-attack-for-compute-in-memory-accelerator-utilizing-on-chip-finetune-2104.06377</loc><lastmod>2021-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-adversarial-attack-for-compute-in-memory-accelerator-utilizing-on-chip-finetune-2104.06377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-adversarial-attack-for-compute-in-memory-accelerator-utilizing-on-chip-finetune-2104.06377"/></url>
<url><loc>https://scifaro.com/en/abs/subgoal-based-reward-shaping-to-improve-efficiency-in-reinforcement-learning-2104.06411</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subgoal-based-reward-shaping-to-improve-efficiency-in-reinforcement-learning-2104.06411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subgoal-based-reward-shaping-to-improve-efficiency-in-reinforcement-learning-2104.06411"/></url>
<url><loc>https://scifaro.com/en/abs/learning-log-determinant-divergences-for-positive-definite-matrices-2104.06461</loc><lastmod>2021-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-log-determinant-divergences-for-positive-definite-matrices-2104.06461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-log-determinant-divergences-for-positive-definite-matrices-2104.06461"/></url>
<url><loc>https://scifaro.com/en/abs/taac-temporally-abstract-actor-critic-for-continuous-control-2104.06521</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taac-temporally-abstract-actor-critic-for-continuous-control-2104.06521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taac-temporally-abstract-actor-critic-for-continuous-control-2104.06521"/></url>
<url><loc>https://scifaro.com/en/abs/solving-weakly-supervised-regression-problem-using-low-rank-manifold-regularization-2104.06548</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-weakly-supervised-regression-problem-using-low-rank-manifold-regularization-2104.06548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-weakly-supervised-regression-problem-using-low-rank-manifold-regularization-2104.06548"/></url>
<url><loc>https://scifaro.com/en/abs/towards-causal-federated-learning-for-enhanced-robustness-and-privacy-2104.06557</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-causal-federated-learning-for-enhanced-robustness-and-privacy-2104.06557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-causal-federated-learning-for-enhanced-robustness-and-privacy-2104.06557"/></url>
<url><loc>https://scifaro.com/en/abs/joint-negative-and-positive-learning-for-noisy-labels-2104.06574</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-negative-and-positive-learning-for-noisy-labels-2104.06574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-negative-and-positive-learning-for-noisy-labels-2104.06574"/></url>
<url><loc>https://scifaro.com/en/abs/gan-based-interactive-reinforcement-learning-from-demonstration-and-human-evaluative-feedback-2104.06600</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gan-based-interactive-reinforcement-learning-from-demonstration-and-human-evaluative-feedback-2104.06600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gan-based-interactive-reinforcement-learning-from-demonstration-and-human-evaluative-feedback-2104.06600"/></url>
<url><loc>https://scifaro.com/en/abs/search-to-aggregate-neighborhood-for-graph-neural-network-2104.06608</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/search-to-aggregate-neighborhood-for-graph-neural-network-2104.06608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/search-to-aggregate-neighborhood-for-graph-neural-network-2104.06608"/></url>
<url><loc>https://scifaro.com/en/abs/deep-data-density-estimation-through-donsker-varadhan-representation-2104.06612</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-data-density-estimation-through-donsker-varadhan-representation-2104.06612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-data-density-estimation-through-donsker-varadhan-representation-2104.06612"/></url>
<url><loc>https://scifaro.com/en/abs/detection-of-dataset-shifts-in-learning-enabled-cyber-physical-systems-using-variational-autoencoder-for-regression-2104.06613</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-of-dataset-shifts-in-learning-enabled-cyber-physical-systems-using-variational-autoencoder-for-regression-2104.06613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-of-dataset-shifts-in-learning-enabled-cyber-physical-systems-using-variational-autoencoder-for-regression-2104.06613"/></url>
<url><loc>https://scifaro.com/en/abs/device-cloud-collaborative-learning-for-recommendation-2104.06624</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/device-cloud-collaborative-learning-for-recommendation-2104.06624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/device-cloud-collaborative-learning-for-recommendation-2104.06624"/></url>
<url><loc>https://scifaro.com/en/abs/mutual-information-preserving-back-propagation-learn-to-invert-for-faithful-attribution-2104.06629</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mutual-information-preserving-back-propagation-learn-to-invert-for-faithful-attribution-2104.06629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mutual-information-preserving-back-propagation-learn-to-invert-for-faithful-attribution-2104.06629"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-approach-to-curiosity-and-explainable-reinforcement-learning-via-interpretable-sub-goals-2104.06630</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-approach-to-curiosity-and-explainable-reinforcement-learning-via-interpretable-sub-goals-2104.06630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-approach-to-curiosity-and-explainable-reinforcement-learning-via-interpretable-sub-goals-2104.06630"/></url>
<url><loc>https://scifaro.com/en/abs/generative-causal-explanations-for-graph-neural-networks-2104.06643</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-causal-explanations-for-graph-neural-networks-2104.06643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-causal-explanations-for-graph-neural-networks-2104.06643"/></url>
<url><loc>https://scifaro.com/en/abs/towards-explainable-multi-party-learning-a-contrastive-knowledge-sharing-framework-2104.06670</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-explainable-multi-party-learning-a-contrastive-knowledge-sharing-framework-2104.06670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-explainable-multi-party-learning-a-contrastive-knowledge-sharing-framework-2104.06670"/></url>
<url><loc>https://scifaro.com/en/abs/multi-party-dual-learning-2104.06677</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-party-dual-learning-2104.06677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-party-dual-learning-2104.06677"/></url>
<url><loc>https://scifaro.com/en/abs/broadcast-reducing-both-stochastic-and-compression-noise-to-robustify-communication-efficient-federated-learning-2104.06685</loc><lastmod>2024-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/broadcast-reducing-both-stochastic-and-compression-noise-to-robustify-communication-efficient-federated-learning-2104.06685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/broadcast-reducing-both-stochastic-and-compression-noise-to-robustify-communication-efficient-federated-learning-2104.06685"/></url>
<url><loc>https://scifaro.com/en/abs/reward-function-shape-exploration-in-adversarial-imitation-learning-an-empirical-study-2104.06687</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reward-function-shape-exploration-in-adversarial-imitation-learning-an-empirical-study-2104.06687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reward-function-shape-exploration-in-adversarial-imitation-learning-an-empirical-study-2104.06687"/></url>
<url><loc>https://scifaro.com/en/abs/distgnn-scalable-distributed-training-for-large-scale-graph-neural-networks-2104.06700</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distgnn-scalable-distributed-training-for-large-scale-graph-neural-networks-2104.06700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distgnn-scalable-distributed-training-for-large-scale-graph-neural-networks-2104.06700"/></url>
<url><loc>https://scifaro.com/en/abs/improved-branch-and-bound-for-neural-network-verification-via-lagrangian-decomposition-2104.06718</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-branch-and-bound-for-neural-network-verification-via-lagrangian-decomposition-2104.06718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-branch-and-bound-for-neural-network-verification-via-lagrangian-decomposition-2104.06718"/></url>
<url><loc>https://scifaro.com/en/abs/quadratic-gcn-for-graph-classification-2104.06750</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quadratic-gcn-for-graph-classification-2104.06750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quadratic-gcn-for-graph-classification-2104.06750"/></url>
<url><loc>https://scifaro.com/en/abs/wifinet-wifi-based-indoor-localisation-using-cnns-2104.06768</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wifinet-wifi-based-indoor-localisation-using-cnns-2104.06768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wifinet-wifi-based-indoor-localisation-using-cnns-2104.06768"/></url>
<url><loc>https://scifaro.com/en/abs/neural-architecture-search-of-deep-priors-towards-continual-learning-without-catastrophic-interference-2104.06788</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-architecture-search-of-deep-priors-towards-continual-learning-without-catastrophic-interference-2104.06788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-architecture-search-of-deep-priors-towards-continual-learning-without-catastrophic-interference-2104.06788"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-bus-travel-time-prediction-for-transfer-synchronization-with-intelligent-uncertainty-handling-2104.06819</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-bus-travel-time-prediction-for-transfer-synchronization-with-intelligent-uncertainty-handling-2104.06819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-bus-travel-time-prediction-for-transfer-synchronization-with-intelligent-uncertainty-handling-2104.06819"/></url>
<url><loc>https://scifaro.com/en/abs/can-active-learning-preemptively-mitigate-fairness-issues-2104.06879</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-active-learning-preemptively-mitigate-fairness-issues-2104.06879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-active-learning-preemptively-mitigate-fairness-issues-2104.06879"/></url>
<url><loc>https://scifaro.com/en/abs/is-disentanglement-all-you-need-comparing-concept-based-disentanglement-approaches-2104.06917</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-disentanglement-all-you-need-comparing-concept-based-disentanglement-approaches-2104.06917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-disentanglement-all-you-need-comparing-concept-based-disentanglement-approaches-2104.06917"/></url>
<url><loc>https://scifaro.com/en/abs/safe-continuous-control-with-constrained-model-based-policy-optimization-2104.06922</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-continuous-control-with-constrained-model-based-policy-optimization-2104.06922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-continuous-control-with-constrained-model-based-policy-optimization-2104.06922"/></url>
<url><loc>https://scifaro.com/en/abs/process-outcome-prediction-cnn-vs-lstm-with-attention-2104.06934</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/process-outcome-prediction-cnn-vs-lstm-with-attention-2104.06934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/process-outcome-prediction-cnn-vs-lstm-with-attention-2104.06934"/></url>
<url><loc>https://scifaro.com/en/abs/a-hyperbolic-to-hyperbolic-graph-convolutional-network-2104.06942</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hyperbolic-to-hyperbolic-graph-convolutional-network-2104.06942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hyperbolic-to-hyperbolic-graph-convolutional-network-2104.06942"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-eluder-dimension-2104.06970</loc><lastmod>2022-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-eluder-dimension-2104.06970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-eluder-dimension-2104.06970"/></url>
<url><loc>https://scifaro.com/en/abs/do-neural-network-weights-account-for-classes-centers-2104.07004</loc><lastmod>2021-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-neural-network-weights-account-for-classes-centers-2104.07004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-neural-network-weights-account-for-classes-centers-2104.07004"/></url>
<url><loc>https://scifaro.com/en/abs/membership-mappings-for-data-representation-learning-measure-theoretic-conceptualization-2104.07060</loc><lastmod>2022-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/membership-mappings-for-data-representation-learning-measure-theoretic-conceptualization-2104.07060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/membership-mappings-for-data-representation-learning-measure-theoretic-conceptualization-2104.07060"/></url>
<url><loc>https://scifaro.com/en/abs/exact-and-approximate-hierarchical-clustering-using-a-2104.07061</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-and-approximate-hierarchical-clustering-using-a-2104.07061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-and-approximate-hierarchical-clustering-using-a-2104.07061"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-low-rank-representations-for-speech-emotion-recognition-2104.07072</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-low-rank-representations-for-speech-emotion-recognition-2104.07072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-low-rank-representations-for-speech-emotion-recognition-2104.07072"/></url>
<url><loc>https://scifaro.com/en/abs/fedgraphnn-a-federated-learning-system-and-benchmark-for-graph-neural-networks-2104.07145</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedgraphnn-a-federated-learning-system-and-benchmark-for-graph-neural-networks-2104.07145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedgraphnn-a-federated-learning-system-and-benchmark-for-graph-neural-networks-2104.07145"/></url>
<url><loc>https://scifaro.com/en/abs/when-and-whom-to-collaborate-with-in-a-changing-environment-a-collaborative-dynamic-bandit-solution-2104.07150</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-and-whom-to-collaborate-with-in-a-changing-environment-a-collaborative-dynamic-bandit-solution-2104.07150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-and-whom-to-collaborate-with-in-a-changing-environment-a-collaborative-dynamic-bandit-solution-2104.07150"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonalizing-convolutional-layers-with-the-cayley-transform-2104.07167</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonalizing-convolutional-layers-with-the-cayley-transform-2104.07167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonalizing-convolutional-layers-with-the-cayley-transform-2104.07167"/></url>
<url><loc>https://scifaro.com/en/abs/state-and-topology-estimation-for-unobservable-distribution-systems-using-deep-neural-networks-2104.07208</loc><lastmod>2022-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-and-topology-estimation-for-unobservable-distribution-systems-using-deep-neural-networks-2104.07208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-and-topology-estimation-for-unobservable-distribution-systems-using-deep-neural-networks-2104.07208"/></url>
<url><loc>https://scifaro.com/en/abs/attentive-max-feature-map-and-joint-training-for-acoustic-scene-classification-2104.07213</loc><lastmod>2021-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attentive-max-feature-map-and-joint-training-for-acoustic-scene-classification-2104.07213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attentive-max-feature-map-and-joint-training-for-acoustic-scene-classification-2104.07213"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-alignment-flows-2104.07232</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-alignment-flows-2104.07232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-alignment-flows-2104.07232"/></url>
<url><loc>https://scifaro.com/en/abs/towards-handling-uncertainty-at-source-in-ai-a-review-and-next-steps-for-interval-regression-2104.07245</loc><lastmod>2023-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-handling-uncertainty-at-source-in-ai-a-review-and-next-steps-for-interval-regression-2104.07245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-handling-uncertainty-at-source-in-ai-a-review-and-next-steps-for-interval-regression-2104.07245"/></url>
<url><loc>https://scifaro.com/en/abs/embedding-adaptation-is-still-needed-for-few-shot-learning-2104.07255</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedding-adaptation-is-still-needed-for-few-shot-learning-2104.07255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedding-adaptation-is-still-needed-for-few-shot-learning-2104.07255"/></url>
<url><loc>https://scifaro.com/en/abs/neuse-a-neural-snapshot-ensemble-method-for-collaborative-filtering-2104.07269</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuse-a-neural-snapshot-ensemble-method-for-collaborative-filtering-2104.07269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuse-a-neural-snapshot-ensemble-method-for-collaborative-filtering-2104.07269"/></url>
<url><loc>https://scifaro.com/en/abs/generalising-discrete-action-spaces-with-conditional-action-trees-2104.07294</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalising-discrete-action-spaces-with-conditional-action-trees-2104.07294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalising-discrete-action-spaces-with-conditional-action-trees-2104.07294"/></url>
<url><loc>https://scifaro.com/en/abs/variational-co-embedding-learning-for-attributed-network-clustering-2104.07295</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-co-embedding-learning-for-attributed-network-clustering-2104.07295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-co-embedding-learning-for-attributed-network-clustering-2104.07295"/></url>
<url><loc>https://scifaro.com/en/abs/all-you-can-fit-8-bit-flexible-floating-point-format-for-accurate-and-memory-efficient-inference-of-deep-neural-networks-2104.07329</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/all-you-can-fit-8-bit-flexible-floating-point-format-for-accurate-and-memory-efficient-inference-of-deep-neural-networks-2104.07329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/all-you-can-fit-8-bit-flexible-floating-point-format-for-accurate-and-memory-efficient-inference-of-deep-neural-networks-2104.07329"/></url>
<url><loc>https://scifaro.com/en/abs/fast-private-parameter-learning-and-inference-for-sum-product-networks-2104.07353</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-private-parameter-learning-and-inference-for-sum-product-networks-2104.07353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-private-parameter-learning-and-inference-for-sum-product-networks-2104.07353"/></url>
<url><loc>https://scifaro.com/en/abs/scale-invariant-monte-carlo-under-linear-function-approximation-with-curvature-based-step-size-2104.07361</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scale-invariant-monte-carlo-under-linear-function-approximation-with-curvature-based-step-size-2104.07361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scale-invariant-monte-carlo-under-linear-function-approximation-with-curvature-based-step-size-2104.07361"/></url>
<url><loc>https://scifaro.com/en/abs/d-cliques-compensating-for-data-heterogeneity-with-topology-in-decentralized-federated-learning-2104.07365</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/d-cliques-compensating-for-data-heterogeneity-with-topology-in-decentralized-federated-learning-2104.07365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/d-cliques-compensating-for-data-heterogeneity-with-topology-in-decentralized-federated-learning-2104.07365"/></url>
<url><loc>https://scifaro.com/en/abs/facilitating-machine-learning-model-comparison-and-explanation-through-a-radial-visualisation-2104.07377</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/facilitating-machine-learning-model-comparison-and-explanation-through-a-radial-visualisation-2104.07377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/facilitating-machine-learning-model-comparison-and-explanation-through-a-radial-visualisation-2104.07377"/></url>
<url><loc>https://scifaro.com/en/abs/riann-a-robust-neural-network-outperforms-attitude-estimation-filters-2104.07391</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riann-a-robust-neural-network-outperforms-attitude-estimation-filters-2104.07391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riann-a-robust-neural-network-outperforms-attitude-estimation-filters-2104.07391"/></url>
<url><loc>https://scifaro.com/en/abs/nice-an-algorithm-for-nearest-instance-counterfactual-explanations-2104.07411</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nice-an-algorithm-for-nearest-instance-counterfactual-explanations-2104.07411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nice-an-algorithm-for-nearest-instance-counterfactual-explanations-2104.07411"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-and-dempster-shafer-models-for-combining-multiple-sources-of-evidence-in-a-fraud-detection-system-2104.07440</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-and-dempster-shafer-models-for-combining-multiple-sources-of-evidence-in-a-fraud-detection-system-2104.07440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-and-dempster-shafer-models-for-combining-multiple-sources-of-evidence-in-a-fraud-detection-system-2104.07440"/></url>
<url><loc>https://scifaro.com/en/abs/rehearsal-revealed-the-limits-and-merits-of-revisiting-samples-in-continual-learning-2104.07446</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rehearsal-revealed-the-limits-and-merits-of-revisiting-samples-in-continual-learning-2104.07446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rehearsal-revealed-the-limits-and-merits-of-revisiting-samples-in-continual-learning-2104.07446"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-entropy-auto-encoding-2104.07448</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-entropy-auto-encoding-2104.07448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-entropy-auto-encoding-2104.07448"/></url>
<url><loc>https://scifaro.com/en/abs/a-high-fidelity-machine-learning-enhanced-queueing-network-simulation-model-for-hospital-ultrasound-operations-2104.07451</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-high-fidelity-machine-learning-enhanced-queueing-network-simulation-model-for-hospital-ultrasound-operations-2104.07451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-high-fidelity-machine-learning-enhanced-queueing-network-simulation-model-for-hospital-ultrasound-operations-2104.07451"/></url>
<url><loc>https://scifaro.com/en/abs/memory-capacity-of-recurrent-neural-networks-with-matrix-representation-2104.07454</loc><lastmod>2023-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-capacity-of-recurrent-neural-networks-with-matrix-representation-2104.07454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-capacity-of-recurrent-neural-networks-with-matrix-representation-2104.07454"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-cross-silo-federated-learning-in-facilitating-data-sharing-in-the-agri-food-sector-2104.07468</loc><lastmod>2023-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-cross-silo-federated-learning-in-facilitating-data-sharing-in-the-agri-food-sector-2104.07468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-cross-silo-federated-learning-in-facilitating-data-sharing-in-the-agri-food-sector-2104.07468"/></url>
<url><loc>https://scifaro.com/en/abs/lorentzian-graph-convolutional-networks-2104.07477</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lorentzian-graph-convolutional-networks-2104.07477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lorentzian-graph-convolutional-networks-2104.07477"/></url>
<url><loc>https://scifaro.com/en/abs/curiosity-driven-exploration-via-latent-bayesian-surprise-2104.07495</loc><lastmod>2022-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curiosity-driven-exploration-via-latent-bayesian-surprise-2104.07495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curiosity-driven-exploration-via-latent-bayesian-surprise-2104.07495"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-online-relative-similarity-learning-2104.07501</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-online-relative-similarity-learning-2104.07501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-online-relative-similarity-learning-2104.07501"/></url>
<url><loc>https://scifaro.com/en/abs/fedsae-a-novel-self-adaptive-federated-learning-framework-in-heterogeneous-systems-2104.07515</loc><lastmod>2024-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedsae-a-novel-self-adaptive-federated-learning-framework-in-heterogeneous-systems-2104.07515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedsae-a-novel-self-adaptive-federated-learning-framework-in-heterogeneous-systems-2104.07515"/></url>
<url><loc>https://scifaro.com/en/abs/on-energy-based-models-with-overparametrized-shallow-neural-networks-2104.07531</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-energy-based-models-with-overparametrized-shallow-neural-networks-2104.07531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-energy-based-models-with-overparametrized-shallow-neural-networks-2104.07531"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-reinforcement-learning-based-coded-computation-for-mobile-ad-hoc-computing-2104.07539</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-reinforcement-learning-based-coded-computation-for-mobile-ad-hoc-computing-2104.07539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-reinforcement-learning-based-coded-computation-for-mobile-ad-hoc-computing-2104.07539"/></url>
<url><loc>https://scifaro.com/en/abs/hive-cote-2-0-a-new-meta-ensemble-for-time-series-classification-2104.07551</loc><lastmod>2026-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hive-cote-2-0-a-new-meta-ensemble-for-time-series-classification-2104.07551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hive-cote-2-0-a-new-meta-ensemble-for-time-series-classification-2104.07551"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-click-through-rate-prediction-for-developing-countries-via-tabular-learning-2104.07553</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-click-through-rate-prediction-for-developing-countries-via-tabular-learning-2104.07553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-click-through-rate-prediction-for-developing-countries-via-tabular-learning-2104.07553"/></url>
<url><loc>https://scifaro.com/en/abs/see-through-gradients-image-batch-recovery-via-gradinversion-2104.07586</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/see-through-gradients-image-batch-recovery-via-gradinversion-2104.07586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/see-through-gradients-image-batch-recovery-via-gradinversion-2104.07586"/></url>
<url><loc>https://scifaro.com/en/abs/demographic-guided-attention-in-recurrent-neural-networks-for-modeling-neuropathophysiological-heterogeneity-2104.07654</loc><lastmod>2021-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demographic-guided-attention-in-recurrent-neural-networks-for-modeling-neuropathophysiological-heterogeneity-2104.07654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demographic-guided-attention-in-recurrent-neural-networks-for-modeling-neuropathophysiological-heterogeneity-2104.07654"/></url>
<url><loc>https://scifaro.com/en/abs/pytorch-geometric-temporal-spatiotemporal-signal-processing-with-neural-machine-learning-models-2104.07788</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pytorch-geometric-temporal-spatiotemporal-signal-processing-with-neural-machine-learning-models-2104.07788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pytorch-geometric-temporal-spatiotemporal-signal-processing-with-neural-machine-learning-models-2104.07788"/></url>
<url><loc>https://scifaro.com/en/abs/geometry-encoding-for-numerical-simulations-2104.07792</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometry-encoding-for-numerical-simulations-2104.07792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometry-encoding-for-numerical-simulations-2104.07792"/></url>
<url><loc>https://scifaro.com/en/abs/an-l-2-analysis-of-reinforcement-learning-in-high-dimensions-with-kernel-and-neural-network-approximation-2104.07794</loc><lastmod>2022-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-l-2-analysis-of-reinforcement-learning-in-high-dimensions-with-kernel-and-neural-network-approximation-2104.07794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-l-2-analysis-of-reinforcement-learning-in-high-dimensions-with-kernel-and-neural-network-approximation-2104.07794"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-hybrid-deep-learning-approach-for-non-intrusive-load-monitoring-of-residential-appliance-based-on-long-short-term-memory-and-convolutional-neural-networks-2104.07809</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-hybrid-deep-learning-approach-for-non-intrusive-load-monitoring-of-residential-appliance-based-on-long-short-term-memory-and-convolutional-neural-networks-2104.07809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-hybrid-deep-learning-approach-for-non-intrusive-load-monitoring-of-residential-appliance-based-on-long-short-term-memory-and-convolutional-neural-networks-2104.07809"/></url>
<url><loc>https://scifaro.com/en/abs/skeletal-feature-compensation-for-imitation-learning-with-embodiment-mismatch-2104.07810</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skeletal-feature-compensation-for-imitation-learning-with-embodiment-mismatch-2104.07810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skeletal-feature-compensation-for-imitation-learning-with-embodiment-mismatch-2104.07810"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-approaches-for-type-2-diabetes-prediction-and-care-management-2104.07820</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-approaches-for-type-2-diabetes-prediction-and-care-management-2104.07820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-approaches-for-type-2-diabetes-prediction-and-care-management-2104.07820"/></url>
<url><loc>https://scifaro.com/en/abs/neptune-neural-powered-tucker-network-for-knowledge-graph-completion-2104.07824</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neptune-neural-powered-tucker-network-for-knowledge-graph-completion-2104.07824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neptune-neural-powered-tucker-network-for-knowledge-graph-completion-2104.07824"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-td-0-with-almost-no-communication-2104.07855</loc><lastmod>2022-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-td-0-with-almost-no-communication-2104.07855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-td-0-with-almost-no-communication-2104.07855"/></url>
<url><loc>https://scifaro.com/en/abs/sgl-spectral-graph-learning-from-measurements-2104.07867</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgl-spectral-graph-learning-from-measurements-2104.07867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgl-spectral-graph-learning-from-measurements-2104.07867"/></url>
<url><loc>https://scifaro.com/en/abs/deep-stable-learning-for-out-of-distribution-generalization-2104.07876</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-stable-learning-for-out-of-distribution-generalization-2104.07876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-stable-learning-for-out-of-distribution-generalization-2104.07876"/></url>
<url><loc>https://scifaro.com/en/abs/reinforced-neighborhood-selection-guided-multi-relational-graph-neural-networks-2104.07886</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforced-neighborhood-selection-guided-multi-relational-graph-neural-networks-2104.07886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforced-neighborhood-selection-guided-multi-relational-graph-neural-networks-2104.07886"/></url>
<url><loc>https://scifaro.com/en/abs/higher-order-attribute-enhancing-heterogeneous-graph-neural-networks-2104.07892</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higher-order-attribute-enhancing-heterogeneous-graph-neural-networks-2104.07892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higher-order-attribute-enhancing-heterogeneous-graph-neural-networks-2104.07892"/></url>
<url><loc>https://scifaro.com/en/abs/faithful-and-plausible-explanations-of-medical-code-predictions-2104.07894</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faithful-and-plausible-explanations-of-medical-code-predictions-2104.07894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faithful-and-plausible-explanations-of-medical-code-predictions-2104.07894"/></url>
<url><loc>https://scifaro.com/en/abs/interval-censored-hawkes-processes-2104.07932</loc><lastmod>2022-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interval-censored-hawkes-processes-2104.07932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interval-censored-hawkes-processes-2104.07932"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-differential-privacy-for-k-nearest-neighbors-based-outlier-detection-by-data-partitioning-2104.07938</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-differential-privacy-for-k-nearest-neighbors-based-outlier-detection-by-data-partitioning-2104.07938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-differential-privacy-for-k-nearest-neighbors-based-outlier-detection-by-data-partitioning-2104.07938"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-and-generic-1d-dilated-convolution-layer-for-deep-learning-2104.08002</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-and-generic-1d-dilated-convolution-layer-for-deep-learning-2104.08002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-and-generic-1d-dilated-convolution-layer-for-deep-learning-2104.08002"/></url>
<url><loc>https://scifaro.com/en/abs/fedcom-a-byzantine-robust-local-model-aggregation-rule-using-data-commitment-for-federated-learning-2104.08020</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedcom-a-byzantine-robust-local-model-aggregation-rule-using-data-commitment-for-federated-learning-2104.08020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedcom-a-byzantine-robust-local-model-aggregation-rule-using-data-commitment-for-federated-learning-2104.08020"/></url>
<url><loc>https://scifaro.com/en/abs/noisycur-an-algorithm-for-two-cost-budgeted-matrix-completion-2104.08026</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisycur-an-algorithm-for-two-cost-budgeted-matrix-completion-2104.08026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisycur-an-algorithm-for-two-cost-budgeted-matrix-completion-2104.08026"/></url>
<url><loc>https://scifaro.com/en/abs/back-to-the-basics-a-quantitative-analysis-of-statistical-and-graph-based-term-weighting-schemes-for-keyword-extraction-2104.08028</loc><lastmod>2022-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/back-to-the-basics-a-quantitative-analysis-of-statistical-and-graph-based-term-weighting-schemes-for-keyword-extraction-2104.08028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/back-to-the-basics-a-quantitative-analysis-of-statistical-and-graph-based-term-weighting-schemes-for-keyword-extraction-2104.08028"/></url>
<url><loc>https://scifaro.com/en/abs/meg-generating-molecular-counterfactual-explanations-for-deep-graph-networks-2104.08060</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meg-generating-molecular-counterfactual-explanations-for-deep-graph-networks-2104.08060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meg-generating-molecular-counterfactual-explanations-for-deep-graph-networks-2104.08060"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-semi-supervised-federated-learning-for-human-activity-recognition-2104.08094</loc><lastmod>2025-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-semi-supervised-federated-learning-for-human-activity-recognition-2104.08094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-semi-supervised-federated-learning-for-human-activity-recognition-2104.08094"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-ring-topology-decentralized-federated-learning-with-deep-generative-models-for-industrial-artificial-intelligent-2104.08100</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-ring-topology-decentralized-federated-learning-with-deep-generative-models-for-industrial-artificial-intelligent-2104.08100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-ring-topology-decentralized-federated-learning-with-deep-generative-models-for-industrial-artificial-intelligent-2104.08100"/></url>
<url><loc>https://scifaro.com/en/abs/split-learning-meets-koopman-theory-for-wireless-remote-monitoring-and-prediction-2104.08109</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/split-learning-meets-koopman-theory-for-wireless-remote-monitoring-and-prediction-2104.08109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/split-learning-meets-koopman-theory-for-wireless-remote-monitoring-and-prediction-2104.08109"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-features-based-eeg-signals-denoising-using-fractional-and-compressed-one-dimensional-cnn-autoencoder-2104.08120</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-features-based-eeg-signals-denoising-using-fractional-and-compressed-one-dimensional-cnn-autoencoder-2104.08120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-features-based-eeg-signals-denoising-using-fractional-and-compressed-one-dimensional-cnn-autoencoder-2104.08120"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-surrogates-for-deep-learning-2104.08147</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-surrogates-for-deep-learning-2104.08147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-surrogates-for-deep-learning-2104.08147"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-of-graph-based-approaches-for-semi-supervised-time-series-classification-2104.08153</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-of-graph-based-approaches-for-semi-supervised-time-series-classification-2104.08153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-of-graph-based-approaches-for-semi-supervised-time-series-classification-2104.08153"/></url>
<url><loc>https://scifaro.com/en/abs/capturing-patterns-of-variation-unique-to-a-specific-dataset-2104.08157</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capturing-patterns-of-variation-unique-to-a-specific-dataset-2104.08157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capturing-patterns-of-variation-unique-to-a-specific-dataset-2104.08157"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-termination-for-hyperparameter-optimization-2104.08166</loc><lastmod>2022-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-termination-for-hyperparameter-optimization-2104.08166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-termination-for-hyperparameter-optimization-2104.08166"/></url>
<url><loc>https://scifaro.com/en/abs/improving-hyper-relational-knowledge-graph-completion-2104.08167</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-hyper-relational-knowledge-graph-completion-2104.08167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-hyper-relational-knowledge-graph-completion-2104.08167"/></url>
<url><loc>https://scifaro.com/en/abs/safe-exploration-in-model-based-reinforcement-learning-using-control-barrier-functions-2104.08171</loc><lastmod>2022-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-exploration-in-model-based-reinforcement-learning-using-control-barrier-functions-2104.08171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-exploration-in-model-based-reinforcement-learning-using-control-barrier-functions-2104.08171"/></url>
<url><loc>https://scifaro.com/en/abs/csafl-a-clustered-semi-asynchronous-federated-learning-framework-2104.08184</loc><lastmod>2024-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/csafl-a-clustered-semi-asynchronous-federated-learning-framework-2104.08184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/csafl-a-clustered-semi-asynchronous-federated-learning-framework-2104.08184"/></url>
<url><loc>https://scifaro.com/en/abs/towards-standardising-reinforcement-learning-approaches-for-production-scheduling-problems-2104.08196</loc><lastmod>2023-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-standardising-reinforcement-learning-approaches-for-production-scheduling-problems-2104.08196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-standardising-reinforcement-learning-approaches-for-production-scheduling-problems-2104.08196"/></url>
<url><loc>https://scifaro.com/en/abs/probing-artificial-neural-networks-insights-from-neuroscience-2104.08197</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probing-artificial-neural-networks-insights-from-neuroscience-2104.08197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probing-artificial-neural-networks-insights-from-neuroscience-2104.08197"/></url>
<url><loc>https://scifaro.com/en/abs/why-machine-learning-integrated-patient-flow-simulation-2104.08203</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-machine-learning-integrated-patient-flow-simulation-2104.08203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-machine-learning-integrated-patient-flow-simulation-2104.08203"/></url>
<url><loc>https://scifaro.com/en/abs/bnn-bn-training-binary-neural-networks-without-batch-normalization-2104.08215</loc><lastmod>2021-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bnn-bn-training-binary-neural-networks-without-batch-normalization-2104.08215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bnn-bn-training-binary-neural-networks-without-batch-normalization-2104.08215"/></url>
<url><loc>https://scifaro.com/en/abs/controlled-abstention-neural-networks-for-identifying-skillful-predictions-for-regression-problems-2104.08236</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlled-abstention-neural-networks-for-identifying-skillful-predictions-for-regression-problems-2104.08236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlled-abstention-neural-networks-for-identifying-skillful-predictions-for-regression-problems-2104.08236"/></url>
<url><loc>https://scifaro.com/en/abs/random-and-adversarial-bit-error-robustness-energy-efficient-and-secure-dnn-accelerators-2104.08323</loc><lastmod>2022-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-and-adversarial-bit-error-robustness-energy-efficient-and-secure-dnn-accelerators-2104.08323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-and-adversarial-bit-error-robustness-energy-efficient-and-secure-dnn-accelerators-2104.08323"/></url>
<url><loc>https://scifaro.com/en/abs/in-defense-of-the-paper-2104.08359</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-defense-of-the-paper-2104.08359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-defense-of-the-paper-2104.08359"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-sparse-deep-neural-networks-2104.08378</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-sparse-deep-neural-networks-2104.08378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-sparse-deep-neural-networks-2104.08378"/></url>
<url><loc>https://scifaro.com/en/abs/lower-bounds-on-cross-entropy-loss-in-the-presence-of-test-time-adversaries-2104.08382</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lower-bounds-on-cross-entropy-loss-in-the-presence-of-test-time-adversaries-2104.08382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lower-bounds-on-cross-entropy-loss-in-the-presence-of-test-time-adversaries-2104.08382"/></url>
<url><loc>https://scifaro.com/en/abs/risk-score-learning-for-covid-19-contact-tracing-apps-2104.08415</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-score-learning-for-covid-19-contact-tracing-apps-2104.08415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-score-learning-for-covid-19-contact-tracing-apps-2104.08415"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-graph-convolutional-neural-networks-via-tempered-mcmc-2104.08438</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-graph-convolutional-neural-networks-via-tempered-mcmc-2104.08438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-graph-convolutional-neural-networks-via-tempered-mcmc-2104.08438"/></url>
<url><loc>https://scifaro.com/en/abs/learning-on-a-budget-via-teacher-imitation-2104.08440</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-on-a-budget-via-teacher-imitation-2104.08440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-on-a-budget-via-teacher-imitation-2104.08440"/></url>
<url><loc>https://scifaro.com/en/abs/action-advising-with-advice-imitation-in-deep-reinforcement-learning-2104.08441</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/action-advising-with-advice-imitation-in-deep-reinforcement-learning-2104.08441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/action-advising-with-advice-imitation-in-deep-reinforcement-learning-2104.08441"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-normalizing-flows-for-deep-gaussian-processes-2104.08472</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-normalizing-flows-for-deep-gaussian-processes-2104.08472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-normalizing-flows-for-deep-gaussian-processes-2104.08472"/></url>
<url><loc>https://scifaro.com/en/abs/agnostic-learning-with-unknown-utilities-2104.08482</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agnostic-learning-with-unknown-utilities-2104.08482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agnostic-learning-with-unknown-utilities-2104.08482"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-multi-modal-multi-instance-multi-label-deep-network-with-optimal-transport-2104.08489</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-multi-modal-multi-instance-multi-label-deep-network-with-optimal-transport-2104.08489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-multi-modal-multi-instance-multi-label-deep-network-with-optimal-transport-2104.08489"/></url>
<url><loc>https://scifaro.com/en/abs/fuzzy-discriminant-clustering-with-fuzzy-pairwise-constraints-2104.08546</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fuzzy-discriminant-clustering-with-fuzzy-pairwise-constraints-2104.08546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fuzzy-discriminant-clustering-with-fuzzy-pairwise-constraints-2104.08546"/></url>
<url><loc>https://scifaro.com/en/abs/potential-anchoring-for-imbalanced-data-classification-2104.08548</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/potential-anchoring-for-imbalanced-data-classification-2104.08548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/potential-anchoring-for-imbalanced-data-classification-2104.08548"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-input-and-state-estimation-a-general-framework-for-learning-from-time-series-with-missing-data-2104.08556</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-input-and-state-estimation-a-general-framework-for-learning-from-time-series-with-missing-data-2104.08556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-input-and-state-estimation-a-general-framework-for-learning-from-time-series-with-missing-data-2104.08556"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-the-geodesic-path-for-incremental-learning-2104.08572</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-the-geodesic-path-for-incremental-learning-2104.08572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-the-geodesic-path-for-incremental-learning-2104.08572"/></url>
<url><loc>https://scifaro.com/en/abs/lifelong-learning-with-sketched-structural-regularization-2104.08604</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifelong-learning-with-sketched-structural-regularization-2104.08604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifelong-learning-with-sketched-structural-regularization-2104.08604"/></url>
<url><loc>https://scifaro.com/en/abs/conservative-contextual-combinatorial-cascading-bandit-2104.08615</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conservative-contextual-combinatorial-cascading-bandit-2104.08615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conservative-contextual-combinatorial-cascading-bandit-2104.08615"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-counterfactual-explanations-for-scorecard-modelling-2104.08619</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-counterfactual-explanations-for-scorecard-modelling-2104.08619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-counterfactual-explanations-for-scorecard-modelling-2104.08619"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-image-scaling-attacks-the-interplay-between-vulnerabilities-in-machine-learning-systems-2104.08690</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-image-scaling-attacks-the-interplay-between-vulnerabilities-in-machine-learning-systems-2104.08690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-image-scaling-attacks-the-interplay-between-vulnerabilities-in-machine-learning-systems-2104.08690"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-optimization-of-areas-under-precision-recall-curves-with-provable-convergence-2104.08736</loc><lastmod>2023-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-optimization-of-areas-under-precision-recall-curves-with-provable-convergence-2104.08736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-optimization-of-areas-under-precision-recall-curves-with-provable-convergence-2104.08736"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-of-user-verification-models-without-sharing-embeddings-2104.08776</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-of-user-verification-models-without-sharing-embeddings-2104.08776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-of-user-verification-models-without-sharing-embeddings-2104.08776"/></url>
<url><loc>https://scifaro.com/en/abs/intuitive-physics-guided-exploration-for-sample-efficient-sim2real-transfer-2104.08795</loc><lastmod>2022-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intuitive-physics-guided-exploration-for-sample-efficient-sim2real-transfer-2104.08795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intuitive-physics-guided-exploration-for-sample-efficient-sim2real-transfer-2104.08795"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-structured-objects-with-graph-neural-networks-2104.08869</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-structured-objects-with-graph-neural-networks-2104.08869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-structured-objects-with-graph-neural-networks-2104.08869"/></url>
<url><loc>https://scifaro.com/en/abs/quick-learner-automated-vehicle-adapting-its-roadmanship-to-varying-traffic-cultures-with-meta-reinforcement-learning-2104.08876</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quick-learner-automated-vehicle-adapting-its-roadmanship-to-varying-traffic-cultures-with-meta-reinforcement-learning-2104.08876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quick-learner-automated-vehicle-adapting-its-roadmanship-to-varying-traffic-cultures-with-meta-reinforcement-learning-2104.08876"/></url>
<url><loc>https://scifaro.com/en/abs/perspectives-on-machine-learning-from-psychology-s-reproducibility-crisis-2104.08878</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perspectives-on-machine-learning-from-psychology-s-reproducibility-crisis-2104.08878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perspectives-on-machine-learning-from-psychology-s-reproducibility-crisis-2104.08878"/></url>
<url><loc>https://scifaro.com/en/abs/survnam-the-machine-learning-survival-model-explanation-2104.08903</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survnam-the-machine-learning-survival-model-explanation-2104.08903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survnam-the-machine-learning-survival-model-explanation-2104.08903"/></url>
<url><loc>https://scifaro.com/en/abs/failing-conceptually-concept-based-explanations-of-dataset-shift-2104.08952</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/failing-conceptually-concept-based-explanations-of-dataset-shift-2104.08952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/failing-conceptually-concept-based-explanations-of-dataset-shift-2104.08952"/></url>
<url><loc>https://scifaro.com/en/abs/deep-clustering-with-measure-propagation-2104.08967</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-clustering-with-measure-propagation-2104.08967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-clustering-with-measure-propagation-2104.08967"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-risk-assessment-in-contextual-bandits-2104.08977</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-risk-assessment-in-contextual-bandits-2104.08977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-risk-assessment-in-contextual-bandits-2104.08977"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bayesian-deep-learning-with-kernel-seed-networks-2104.09005</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bayesian-deep-learning-with-kernel-seed-networks-2104.09005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bayesian-deep-learning-with-kernel-seed-networks-2104.09005"/></url>
<url><loc>https://scifaro.com/en/abs/labels-information-and-computation-efficient-learning-using-sufficient-labels-2104.09015</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/labels-information-and-computation-efficient-learning-using-sufficient-labels-2104.09015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/labels-information-and-computation-efficient-learning-using-sufficient-labels-2104.09015"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-continual-learning-a-brain-inspired-approach-2104.09034</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-continual-learning-a-brain-inspired-approach-2104.09034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-continual-learning-a-brain-inspired-approach-2104.09034"/></url>
<url><loc>https://scifaro.com/en/abs/option-tracing-beyond-correctness-analysis-in-knowledge-tracing-2104.09043</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/option-tracing-beyond-correctness-analysis-in-knowledge-tracing-2104.09043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/option-tracing-beyond-correctness-analysis-in-knowledge-tracing-2104.09043"/></url>
<url><loc>https://scifaro.com/en/abs/do-we-really-need-gold-samples-for-sample-weighting-under-label-noise-2104.09045</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-we-really-need-gold-samples-for-sample-weighting-under-label-noise-2104.09045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-we-really-need-gold-samples-for-sample-weighting-under-label-noise-2104.09045"/></url>
<url><loc>https://scifaro.com/en/abs/metadata-normalization-2104.09052</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metadata-normalization-2104.09052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metadata-normalization-2104.09052"/></url>
<url><loc>https://scifaro.com/en/abs/da-dgcex-ensuring-validity-of-deep-guided-counterfactual-explanations-with-distribution-aware-autoencoder-loss-2104.09062</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/da-dgcex-ensuring-validity-of-deep-guided-counterfactual-explanations-with-distribution-aware-autoencoder-loss-2104.09062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/da-dgcex-ensuring-validity-of-deep-guided-counterfactual-explanations-with-distribution-aware-autoencoder-loss-2104.09062"/></url>
<url><loc>https://scifaro.com/en/abs/learning-interpretable-models-for-coupled-networks-under-domain-constraints-2104.09069</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-interpretable-models-for-coupled-networks-under-domain-constraints-2104.09069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-interpretable-models-for-coupled-networks-under-domain-constraints-2104.09069"/></url>
<url><loc>https://scifaro.com/en/abs/improving-attribution-methods-by-learning-submodular-functions-2104.09073</loc><lastmod>2022-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-attribution-methods-by-learning-submodular-functions-2104.09073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-attribution-methods-by-learning-submodular-functions-2104.09073"/></url>
<url><loc>https://scifaro.com/en/abs/multi-fold-correlation-attention-network-for-predicting-traffic-speeds-with-heterogeneous-frequency-2104.09083</loc><lastmod>2022-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-fold-correlation-attention-network-for-predicting-traffic-speeds-with-heterogeneous-frequency-2104.09083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-fold-correlation-attention-network-for-predicting-traffic-speeds-with-heterogeneous-frequency-2104.09083"/></url>
<url><loc>https://scifaro.com/en/abs/sas-a-simple-accurate-and-scalable-node-classification-algorithm-2104.09120</loc><lastmod>2022-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sas-a-simple-accurate-and-scalable-node-classification-algorithm-2104.09120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sas-a-simple-accurate-and-scalable-node-classification-algorithm-2104.09120"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-mixture-of-experts-for-efficient-deep-reinforcement-learning-2104.09122</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-mixture-of-experts-for-efficient-deep-reinforcement-learning-2104.09122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-mixture-of-experts-for-efficient-deep-reinforcement-learning-2104.09122"/></url>
<url><loc>https://scifaro.com/en/abs/sape-spatially-adaptive-progressive-encoding-for-neural-optimization-2104.09125</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sape-spatially-adaptive-progressive-encoding-for-neural-optimization-2104.09125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sape-spatially-adaptive-progressive-encoding-for-neural-optimization-2104.09125"/></url>
<url><loc>https://scifaro.com/en/abs/direction-aggregated-attack-for-transferable-adversarial-examples-2104.09172</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direction-aggregated-attack-for-transferable-adversarial-examples-2104.09172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direction-aggregated-attack-for-transferable-adversarial-examples-2104.09172"/></url>
<url><loc>https://scifaro.com/en/abs/mixtures-of-gaussian-processes-for-regression-under-multiple-prior-distributions-2104.09185</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixtures-of-gaussian-processes-for-regression-under-multiple-prior-distributions-2104.09185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixtures-of-gaussian-processes-for-regression-under-multiple-prior-distributions-2104.09185"/></url>
<url><loc>https://scifaro.com/en/abs/removing-adversarial-noise-in-class-activation-feature-space-2104.09197</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/removing-adversarial-noise-in-class-activation-feature-space-2104.09197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/removing-adversarial-noise-in-class-activation-feature-space-2104.09197"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-with-gaussian-mixture-replay-2104.09220</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-with-gaussian-mixture-replay-2104.09220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-with-gaussian-mixture-replay-2104.09220"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-approach-to-dynamic-risk-modeling-of-mortality-in-covid-19-a-uk-biobank-study-2104.09226</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-approach-to-dynamic-risk-modeling-of-mortality-in-covid-19-a-uk-biobank-study-2104.09226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-approach-to-dynamic-risk-modeling-of-mortality-in-covid-19-a-uk-biobank-study-2104.09226"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-with-fully-probabilistic-models-2104.09240</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-with-fully-probabilistic-models-2104.09240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-with-fully-probabilistic-models-2104.09240"/></url>
<url><loc>https://scifaro.com/en/abs/learning-on-hardware-a-tutorial-on-neural-network-accelerators-and-co-processors-2104.09252</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-on-hardware-a-tutorial-on-neural-network-accelerators-and-co-processors-2104.09252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-on-hardware-a-tutorial-on-neural-network-accelerators-and-co-processors-2104.09252"/></url>
<url><loc>https://scifaro.com/en/abs/non-linear-fusion-for-self-paced-multi-view-clustering-2104.09255</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-linear-fusion-for-self-paced-multi-view-clustering-2104.09255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-linear-fusion-for-self-paced-multi-view-clustering-2104.09255"/></url>
<url><loc>https://scifaro.com/en/abs/latent-optimized-adversarial-neural-transfer-for-sarcasm-detection-2104.09261</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-optimized-adversarial-neural-transfer-for-sarcasm-detection-2104.09261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-optimized-adversarial-neural-transfer-for-sarcasm-detection-2104.09261"/></url>
<url><loc>https://scifaro.com/en/abs/lafeat-piercing-through-adversarial-defenses-with-latent-features-2104.09284</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lafeat-piercing-through-adversarial-defenses-with-latent-features-2104.09284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lafeat-piercing-through-adversarial-defenses-with-latent-features-2104.09284"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-cascade-confidence-calibration-for-improving-the-accuracy-and-computational-cost-of-cascade-inference-systems-2104.09286</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-cascade-confidence-calibration-for-improving-the-accuracy-and-computational-cost-of-cascade-inference-systems-2104.09286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-cascade-confidence-calibration-for-improving-the-accuracy-and-computational-cost-of-cascade-inference-systems-2104.09286"/></url>
<url><loc>https://scifaro.com/en/abs/a-tunable-model-for-graph-generation-using-lstm-and-conditional-vae-2104.09304</loc><lastmod>2023-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tunable-model-for-graph-generation-using-lstm-and-conditional-vae-2104.09304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tunable-model-for-graph-generation-using-lstm-and-conditional-vae-2104.09304"/></url>
<url><loc>https://scifaro.com/en/abs/tracking-agitation-in-people-living-with-dementia-in-a-care-environment-2104.09305</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tracking-agitation-in-people-living-with-dementia-in-a-care-environment-2104.09305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tracking-agitation-in-people-living-with-dementia-in-a-care-environment-2104.09305"/></url>
<url><loc>https://scifaro.com/en/abs/assessment-of-deep-learning-based-blood-pressure-prediction-from-ppg-and-rppg-signals-2104.09313</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessment-of-deep-learning-based-blood-pressure-prediction-from-ppg-and-rppg-signals-2104.09313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessment-of-deep-learning-based-blood-pressure-prediction-from-ppg-and-rppg-signals-2104.09313"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-the-covid-19-virus-evolution-with-incremental-machine-learning-2104.09325</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-the-covid-19-virus-evolution-with-incremental-machine-learning-2104.09325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-the-covid-19-virus-evolution-with-incremental-machine-learning-2104.09325"/></url>
<url><loc>https://scifaro.com/en/abs/random-reshuffling-with-variance-reduction-new-analysis-and-better-rates-2104.09342</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-reshuffling-with-variance-reduction-new-analysis-and-better-rates-2104.09342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-reshuffling-with-variance-reduction-new-analysis-and-better-rates-2104.09342"/></url>
<url><loc>https://scifaro.com/en/abs/approximated-multi-agent-fitted-q-iteration-2104.09343</loc><lastmod>2023-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximated-multi-agent-fitted-q-iteration-2104.09343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximated-multi-agent-fitted-q-iteration-2104.09343"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-sparsify-travelling-salesman-problem-instances-2104.09345</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-sparsify-travelling-salesman-problem-instances-2104.09345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-sparsify-travelling-salesman-problem-instances-2104.09345"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-diffusion-attacks-on-graph-based-traffic-prediction-models-2104.09369</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-diffusion-attacks-on-graph-based-traffic-prediction-models-2104.09369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-diffusion-attacks-on-graph-based-traffic-prediction-models-2104.09369"/></url>
<url><loc>https://scifaro.com/en/abs/non-linear-functional-modeling-using-neural-networks-2104.09371</loc><lastmod>2023-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-linear-functional-modeling-using-neural-networks-2104.09371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-linear-functional-modeling-using-neural-networks-2104.09371"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-and-adaptive-graph-neural-networks-with-self-label-enhanced-training-2104.09376</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-and-adaptive-graph-neural-networks-with-self-label-enhanced-training-2104.09376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-and-adaptive-graph-neural-networks-with-self-label-enhanced-training-2104.09376"/></url>
<url><loc>https://scifaro.com/en/abs/algoritmos-de-miner-ia-de-datos-en-la-industria-sanitaria-2104.09395</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algoritmos-de-miner-ia-de-datos-en-la-industria-sanitaria-2104.09395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algoritmos-de-miner-ia-de-datos-en-la-industria-sanitaria-2104.09395"/></url>
<url><loc>https://scifaro.com/en/abs/agent-centric-representations-for-multi-agent-reinforcement-learning-2104.09402</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agent-centric-representations-for-multi-agent-reinforcement-learning-2104.09402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agent-centric-representations-for-multi-agent-reinforcement-learning-2104.09402"/></url>
<url><loc>https://scifaro.com/en/abs/robust-learning-meets-generative-models-can-proxy-distributions-improve-adversarial-robustness-2104.09425</loc><lastmod>2022-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-learning-meets-generative-models-can-proxy-distributions-improve-adversarial-robustness-2104.09425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-learning-meets-generative-models-can-proxy-distributions-improve-adversarial-robustness-2104.09425"/></url>
<url><loc>https://scifaro.com/en/abs/provable-robustness-of-adversarial-training-for-learning-halfspaces-with-noise-2104.09437</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-robustness-of-adversarial-training-for-learning-halfspaces-with-noise-2104.09437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-robustness-of-adversarial-training-for-learning-halfspaces-with-noise-2104.09437"/></url>
<url><loc>https://scifaro.com/en/abs/a-practical-method-for-constructing-equivariant-multilayer-perceptrons-for-arbitrary-matrix-groups-2104.09459</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-practical-method-for-constructing-equivariant-multilayer-perceptrons-for-arbitrary-matrix-groups-2104.09459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-practical-method-for-constructing-equivariant-multilayer-perceptrons-for-arbitrary-matrix-groups-2104.09459"/></url>
<url><loc>https://scifaro.com/en/abs/training-value-aligned-reinforcement-learning-agents-using-a-normative-prior-2104.09469</loc><lastmod>2021-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-value-aligned-reinforcement-learning-agents-using-a-normative-prior-2104.09469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-value-aligned-reinforcement-learning-agents-using-a-normative-prior-2104.09469"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-communicate-with-strangers-via-channel-randomisation-methods-2104.09557</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-communicate-with-strangers-via-channel-randomisation-methods-2104.09557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-communicate-with-strangers-via-channel-randomisation-methods-2104.09557"/></url>
<url><loc>https://scifaro.com/en/abs/latex-numeric-language-agnostic-text-attribute-extraction-for-e-commerce-numeric-attributes-2104.09576</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latex-numeric-language-agnostic-text-attribute-extraction-for-e-commerce-numeric-attributes-2104.09576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latex-numeric-language-agnostic-text-attribute-extraction-for-e-commerce-numeric-attributes-2104.09576"/></url>
<url><loc>https://scifaro.com/en/abs/robust-uncertainty-bounds-in-reproducing-kernel-hilbert-spaces-a-convex-optimization-approach-2104.09582</loc><lastmod>2022-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-uncertainty-bounds-in-reproducing-kernel-hilbert-spaces-a-convex-optimization-approach-2104.09582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-uncertainty-bounds-in-reproducing-kernel-hilbert-spaces-a-convex-optimization-approach-2104.09582"/></url>
<url><loc>https://scifaro.com/en/abs/lex-a-framework-for-operationalising-layers-of-machine-learning-explanations-2104.09612</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lex-a-framework-for-operationalising-layers-of-machine-learning-explanations-2104.09612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lex-a-framework-for-operationalising-layers-of-machine-learning-explanations-2104.09612"/></url>
<url><loc>https://scifaro.com/en/abs/predictor-corrector-pc-temporal-difference-td-learning-pctd-2104.09620</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictor-corrector-pc-temporal-difference-td-learning-pctd-2104.09620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictor-corrector-pc-temporal-difference-td-learning-pctd-2104.09620"/></url>
<url><loc>https://scifaro.com/en/abs/engineering-sketch-generation-for-computer-aided-design-2104.09621</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/engineering-sketch-generation-for-computer-aided-design-2104.09621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/engineering-sketch-generation-for-computer-aided-design-2104.09621"/></url>
<url><loc>https://scifaro.com/en/abs/quaternion-generative-adversarial-networks-2104.09630</loc><lastmod>2022-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quaternion-generative-adversarial-networks-2104.09630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quaternion-generative-adversarial-networks-2104.09630"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-class-of-efficient-adaptive-filters-for-online-nonlinear-modeling-2104.09641</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-class-of-efficient-adaptive-filters-for-online-nonlinear-modeling-2104.09641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-class-of-efficient-adaptive-filters-for-online-nonlinear-modeling-2104.09641"/></url>
<url><loc>https://scifaro.com/en/abs/mapping-the-internet-modelling-entity-interactions-in-complex-heterogeneous-networks-2104.09650</loc><lastmod>2022-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mapping-the-internet-modelling-entity-interactions-in-complex-heterogeneous-networks-2104.09650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mapping-the-internet-modelling-entity-interactions-in-complex-heterogeneous-networks-2104.09650"/></url>
<url><loc>https://scifaro.com/en/abs/calibration-and-consistency-of-adversarial-surrogate-losses-2104.09658</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibration-and-consistency-of-adversarial-surrogate-losses-2104.09658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibration-and-consistency-of-adversarial-surrogate-losses-2104.09658"/></url>
<url><loc>https://scifaro.com/en/abs/learning-gmms-with-nearly-optimal-robustness-guarantees-2104.09665</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-gmms-with-nearly-optimal-robustness-guarantees-2104.09665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-gmms-with-nearly-optimal-robustness-guarantees-2104.09665"/></url>
<url><loc>https://scifaro.com/en/abs/manipulating-sgd-with-data-ordering-attacks-2104.09667</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manipulating-sgd-with-data-ordering-attacks-2104.09667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manipulating-sgd-with-data-ordering-attacks-2104.09667"/></url>
<url><loc>https://scifaro.com/en/abs/suppressing-simulation-bias-using-multi-modal-data-2104.09684</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/suppressing-simulation-bias-using-multi-modal-data-2104.09684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/suppressing-simulation-bias-using-multi-modal-data-2104.09684"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-traffic-speeds-using-probe-data-a-deep-neural-network-approach-2104.09686</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-traffic-speeds-using-probe-data-a-deep-neural-network-approach-2104.09686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-traffic-speeds-using-probe-data-a-deep-neural-network-approach-2104.09686"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchically-modeling-micro-and-macro-behaviors-via-multi-task-learning-for-conversion-rate-prediction-2104.09713</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchically-modeling-micro-and-macro-behaviors-via-multi-task-learning-for-conversion-rate-prediction-2104.09713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchically-modeling-micro-and-macro-behaviors-via-multi-task-learning-for-conversion-rate-prediction-2104.09713"/></url>
<url><loc>https://scifaro.com/en/abs/joint-online-learning-and-decision-making-via-dual-mirror-descent-2104.09750</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-online-learning-and-decision-making-via-dual-mirror-descent-2104.09750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-online-learning-and-decision-making-via-dual-mirror-descent-2104.09750"/></url>
<url><loc>https://scifaro.com/en/abs/what-is-wrong-with-one-class-anomaly-detection-2104.09793</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-is-wrong-with-one-class-anomaly-detection-2104.09793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-is-wrong-with-one-class-anomaly-detection-2104.09793"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-with-transfer-functions-new-applications-in-system-identification-2104.09839</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-with-transfer-functions-new-applications-in-system-identification-2104.09839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-with-transfer-functions-new-applications-in-system-identification-2104.09839"/></url>
<url><loc>https://scifaro.com/en/abs/permutation-invariant-variational-autoencoder-for-graph-level-representation-learning-2104.09856</loc><lastmod>2021-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/permutation-invariant-variational-autoencoder-for-graph-level-representation-learning-2104.09856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/permutation-invariant-variational-autoencoder-for-graph-level-representation-learning-2104.09856"/></url>
<url><loc>https://scifaro.com/en/abs/robust-sensor-fusion-algorithms-against-voice-command-attacks-in-autonomous-vehicles-2104.09872</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-sensor-fusion-algorithms-against-voice-command-attacks-in-autonomous-vehicles-2104.09872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-sensor-fusion-algorithms-against-voice-command-attacks-in-autonomous-vehicles-2104.09872"/></url>
<url><loc>https://scifaro.com/en/abs/iiot-enabled-health-monitoring-for-integrated-heat-pump-system-using-mixture-slow-feature-analysis-2104.09876</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iiot-enabled-health-monitoring-for-integrated-heat-pump-system-using-mixture-slow-feature-analysis-2104.09876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iiot-enabled-health-monitoring-for-integrated-heat-pump-system-using-mixture-slow-feature-analysis-2104.09876"/></url>
<url><loc>https://scifaro.com/en/abs/gmlp-building-scalable-and-flexible-graph-neural-networks-with-feature-message-passing-2104.09880</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gmlp-building-scalable-and-flexible-graph-neural-networks-with-feature-message-passing-2104.09880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gmlp-building-scalable-and-flexible-graph-neural-networks-with-feature-message-passing-2104.09880"/></url>
<url><loc>https://scifaro.com/en/abs/gddr-gnn-based-data-driven-routing-2104.09919</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gddr-gnn-based-data-driven-routing-2104.09919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gddr-gnn-based-data-driven-routing-2104.09919"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-matching-for-domain-generalization-2104.09937</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-matching-for-domain-generalization-2104.09937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-matching-for-domain-generalization-2104.09937"/></url>
<url><loc>https://scifaro.com/en/abs/active-and-sparse-methods-in-smoothed-model-checking-2104.09940</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-and-sparse-methods-in-smoothed-model-checking-2104.09940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-and-sparse-methods-in-smoothed-model-checking-2104.09940"/></url>
<url><loc>https://scifaro.com/en/abs/multi-target-prediction-for-dummies-using-two-branch-neural-networks-2104.09967</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-target-prediction-for-dummies-using-two-branch-neural-networks-2104.09967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-target-prediction-for-dummies-using-two-branch-neural-networks-2104.09967"/></url>
<url><loc>https://scifaro.com/en/abs/salad-self-adaptive-lightweight-anomaly-detection-for-real-time-recurrent-time-series-2104.09968</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/salad-self-adaptive-lightweight-anomaly-detection-for-real-time-recurrent-time-series-2104.09968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/salad-self-adaptive-lightweight-anomaly-detection-for-real-time-recurrent-time-series-2104.09968"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-convolutional-neural-network-for-robust-galaxy-ellipticity-regression-2104.09970</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-convolutional-neural-network-for-robust-galaxy-ellipticity-regression-2104.09970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-convolutional-neural-network-for-robust-galaxy-ellipticity-regression-2104.09970"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-deep-learning-on-anatomical-meshes-for-the-prediction-of-alzheimer-s-disease-2104.10047</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-deep-learning-on-anatomical-meshes-for-the-prediction-of-alzheimer-s-disease-2104.10047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-deep-learning-on-anatomical-meshes-for-the-prediction-of-alzheimer-s-disease-2104.10047"/></url>
<url><loc>https://scifaro.com/en/abs/semantic-similarity-metrics-for-learned-image-registration-2104.10051</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semantic-similarity-metrics-for-learned-image-registration-2104.10051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semantic-similarity-metrics-for-learned-image-registration-2104.10051"/></url>
<url><loc>https://scifaro.com/en/abs/earthnet2021-a-large-scale-dataset-and-challenge-for-earth-surface-forecasting-as-a-guided-video-prediction-task-2104.10066</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/earthnet2021-a-large-scale-dataset-and-challenge-for-earth-surface-forecasting-as-a-guided-video-prediction-task-2104.10066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/earthnet2021-a-large-scale-dataset-and-challenge-for-earth-surface-forecasting-as-a-guided-video-prediction-task-2104.10066"/></url>
<url><loc>https://scifaro.com/en/abs/development-of-an-accessible-10-year-digital-cardiovascular-dicava-risk-assessment-a-uk-biobank-study-2104.10079</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/development-of-an-accessible-10-year-digital-cardiovascular-dicava-risk-assessment-a-uk-biobank-study-2104.10079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/development-of-an-accessible-10-year-digital-cardiovascular-dicava-risk-assessment-a-uk-biobank-study-2104.10079"/></url>
<url><loc>https://scifaro.com/en/abs/development-of-digitally-obtainable-10-year-risk-scores-for-depression-and-anxiety-in-the-general-population-2104.10087</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/development-of-digitally-obtainable-10-year-risk-scores-for-depression-and-anxiety-in-the-general-population-2104.10087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/development-of-digitally-obtainable-10-year-risk-scores-for-depression-and-anxiety-in-the-general-population-2104.10087"/></url>
<url><loc>https://scifaro.com/en/abs/class-incremental-learning-with-generative-classifiers-2104.10093</loc><lastmod>2023-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-incremental-learning-with-generative-classifiers-2104.10093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-incremental-learning-with-generative-classifiers-2104.10093"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-for-learning-counterfactual-g-invariances-from-single-environments-2104.10105</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-for-learning-counterfactual-g-invariances-from-single-environments-2104.10105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-for-learning-counterfactual-g-invariances-from-single-environments-2104.10105"/></url>
<url><loc>https://scifaro.com/en/abs/development-of-a-dynamic-type-2-diabetes-risk-prediction-tool-a-uk-biobank-study-2104.10108</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/development-of-a-dynamic-type-2-diabetes-risk-prediction-tool-a-uk-biobank-study-2104.10108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/development-of-a-dynamic-type-2-diabetes-risk-prediction-tool-a-uk-biobank-study-2104.10108"/></url>
<url><loc>https://scifaro.com/en/abs/phase-transition-adaptation-2104.10132</loc><lastmod>2021-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phase-transition-adaptation-2104.10132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phase-transition-adaptation-2104.10132"/></url>
<url><loc>https://scifaro.com/en/abs/outcome-driven-reinforcement-learning-via-variational-inference-2104.10190</loc><lastmod>2022-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outcome-driven-reinforcement-learning-via-variational-inference-2104.10190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outcome-driven-reinforcement-learning-via-variational-inference-2104.10190"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-is-superior-to-random-search-for-machine-learning-hyperparameter-tuning-analysis-of-the-black-box-optimization-challenge-2020-2104.10201</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-is-superior-to-random-search-for-machine-learning-hyperparameter-tuning-analysis-of-the-black-box-optimization-challenge-2020-2104.10201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-is-superior-to-random-search-for-machine-learning-hyperparameter-tuning-analysis-of-the-black-box-optimization-challenge-2020-2104.10201"/></url>
<url><loc>https://scifaro.com/en/abs/more-than-meets-the-eye-semi-supervised-learning-under-non-iid-data-2104.10223</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/more-than-meets-the-eye-semi-supervised-learning-under-non-iid-data-2104.10223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/more-than-meets-the-eye-semi-supervised-learning-under-non-iid-data-2104.10223"/></url>
<url><loc>https://scifaro.com/en/abs/concept-drift-detection-from-multi-class-imbalanced-data-streams-2104.10228</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-drift-detection-from-multi-class-imbalanced-data-streams-2104.10228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-drift-detection-from-multi-class-imbalanced-data-streams-2104.10228"/></url>
<url><loc>https://scifaro.com/en/abs/extraction-of-hierarchical-functional-connectivity-components-in-human-brain-using-adversarial-learning-2104.10255</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extraction-of-hierarchical-functional-connectivity-components-in-human-brain-using-adversarial-learning-2104.10255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extraction-of-hierarchical-functional-connectivity-components-in-human-brain-using-adversarial-learning-2104.10255"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-an-aid-policy-to-minimize-student-evasion-using-offline-reinforcement-learning-2104.10258</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-an-aid-policy-to-minimize-student-evasion-using-offline-reinforcement-learning-2104.10258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-an-aid-policy-to-minimize-student-evasion-using-offline-reinforcement-learning-2104.10258"/></url>
<url><loc>https://scifaro.com/en/abs/a-windowed-correlation-based-feature-selection-method-to-improve-time-series-prediction-of-dengue-fever-cases-2104.10289</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-windowed-correlation-based-feature-selection-method-to-improve-time-series-prediction-of-dengue-fever-cases-2104.10289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-windowed-correlation-based-feature-selection-method-to-improve-time-series-prediction-of-dengue-fever-cases-2104.10289"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-sparse-coding-using-hierarchical-riemannian-pursuit-2104.10314</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-sparse-coding-using-hierarchical-riemannian-pursuit-2104.10314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-sparse-coding-using-hierarchical-riemannian-pursuit-2104.10314"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-masked-federated-optimization-2104.10322</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-masked-federated-optimization-2104.10322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-masked-federated-optimization-2104.10322"/></url>
<url><loc>https://scifaro.com/en/abs/deep-transform-and-metric-learning-networks-2104.10329</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-transform-and-metric-learning-networks-2104.10329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-transform-and-metric-learning-networks-2104.10329"/></url>
<url><loc>https://scifaro.com/en/abs/cvlight-decentralized-learning-for-adaptive-traffic-signal-control-with-connected-vehicles-2104.10340</loc><lastmod>2022-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cvlight-decentralized-learning-for-adaptive-traffic-signal-control-with-connected-vehicles-2104.10340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cvlight-decentralized-learning-for-adaptive-traffic-signal-control-with-connected-vehicles-2104.10340"/></url>
<url><loc>https://scifaro.com/en/abs/carbon-emissions-and-large-neural-network-training-2104.10350</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/carbon-emissions-and-large-neural-network-training-2104.10350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/carbon-emissions-and-large-neural-network-training-2104.10350"/></url>
<url><loc>https://scifaro.com/en/abs/dual-head-adversarial-training-2104.10377</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-head-adversarial-training-2104.10377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-head-adversarial-training-2104.10377"/></url>
<url><loc>https://scifaro.com/en/abs/learning-future-terrorist-targets-through-temporal-meta-graphs-2104.10398</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-future-terrorist-targets-through-temporal-meta-graphs-2104.10398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-future-terrorist-targets-through-temporal-meta-graphs-2104.10398"/></url>
<url><loc>https://scifaro.com/en/abs/federated-traffic-synthesizing-and-classification-using-generative-adversarial-networks-2104.10400</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-traffic-synthesizing-and-classification-using-generative-adversarial-networks-2104.10400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-traffic-synthesizing-and-classification-using-generative-adversarial-networks-2104.10400"/></url>
<url><loc>https://scifaro.com/en/abs/principal-component-density-estimation-for-scenario-generation-using-normalizing-flows-2104.10410</loc><lastmod>2022-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principal-component-density-estimation-for-scenario-generation-using-normalizing-flows-2104.10410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principal-component-density-estimation-for-scenario-generation-using-normalizing-flows-2104.10410"/></url>
<url><loc>https://scifaro.com/en/abs/link-prediction-on-n-ary-relational-data-based-on-relatedness-evaluation-2104.10424</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/link-prediction-on-n-ary-relational-data-based-on-relatedness-evaluation-2104.10424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/link-prediction-on-n-ary-relational-data-based-on-relatedness-evaluation-2104.10424"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-shot-learning-with-exclusive-cross-entropy-for-extremely-many-localisations-2104.10425</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-shot-learning-with-exclusive-cross-entropy-for-extremely-many-localisations-2104.10425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-shot-learning-with-exclusive-cross-entropy-for-extremely-many-localisations-2104.10425"/></url>
<url><loc>https://scifaro.com/en/abs/making-differentiable-architecture-search-less-local-2104.10450</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-differentiable-architecture-search-less-local-2104.10450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-differentiable-architecture-search-less-local-2104.10450"/></url>
<url><loc>https://scifaro.com/en/abs/brittle-features-may-help-anomaly-detection-2104.10453</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/brittle-features-may-help-anomaly-detection-2104.10453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/brittle-features-may-help-anomaly-detection-2104.10453"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-traffic-signal-control-comparison-with-commercial-systems-2104.10455</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-traffic-signal-control-comparison-with-commercial-systems-2104.10455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-traffic-signal-control-comparison-with-commercial-systems-2104.10455"/></url>
<url><loc>https://scifaro.com/en/abs/jacobian-regularization-for-mitigating-universal-adversarial-perturbations-2104.10459</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jacobian-regularization-for-mitigating-universal-adversarial-perturbations-2104.10459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jacobian-regularization-for-mitigating-universal-adversarial-perturbations-2104.10459"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-accuracy-of-early-exits-in-multi-exit-architectures-via-curriculum-learning-2104.10461</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-accuracy-of-early-exits-in-multi-exit-architectures-via-curriculum-learning-2104.10461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-accuracy-of-early-exits-in-multi-exit-architectures-via-curriculum-learning-2104.10461"/></url>
<url><loc>https://scifaro.com/en/abs/graphsvx-shapley-value-explanations-for-graph-neural-networks-2104.10482</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphsvx-shapley-value-explanations-for-graph-neural-networks-2104.10482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphsvx-shapley-value-explanations-for-graph-neural-networks-2104.10482"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-learning-for-financial-markets-mixing-model-based-and-model-free-rl-for-volatility-targeting-2104.10483</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-learning-for-financial-markets-mixing-model-based-and-model-free-rl-for-volatility-targeting-2104.10483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-learning-for-financial-markets-mixing-model-based-and-model-free-rl-for-volatility-targeting-2104.10483"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-merging-behaviors-observed-in-naturalistic-data-with-behaviors-generated-by-a-machine-learned-model-2104.10496</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-merging-behaviors-observed-in-naturalistic-data-with-behaviors-generated-by-a-machine-learned-model-2104.10496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-merging-behaviors-observed-in-naturalistic-data-with-behaviors-generated-by-a-machine-learned-model-2104.10496"/></url>
<url><loc>https://scifaro.com/en/abs/interpretation-of-multi-label-classification-models-using-shapley-values-2104.10505</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretation-of-multi-label-classification-models-using-shapley-values-2104.10505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretation-of-multi-label-classification-models-using-shapley-values-2104.10505"/></url>
<url><loc>https://scifaro.com/en/abs/bearings-fault-detection-using-hidden-markov-models-and-principal-component-analysis-enhanced-features-2104.10519</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bearings-fault-detection-using-hidden-markov-models-and-principal-component-analysis-enhanced-features-2104.10519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bearings-fault-detection-using-hidden-markov-models-and-principal-component-analysis-enhanced-features-2104.10519"/></url>
<url><loc>https://scifaro.com/en/abs/stateless-neural-meta-learning-using-second-order-gradients-2104.10527</loc><lastmod>2022-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stateless-neural-meta-learning-using-second-order-gradients-2104.10527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stateless-neural-meta-learning-using-second-order-gradients-2104.10527"/></url>
<url><loc>https://scifaro.com/en/abs/a-lightweight-concept-drift-detection-and-adaptation-framework-for-iot-data-streams-2104.10529</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-lightweight-concept-drift-detection-and-adaptation-framework-for-iot-data-streams-2104.10529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-lightweight-concept-drift-detection-and-adaptation-framework-for-iot-data-streams-2104.10529"/></url>
<url><loc>https://scifaro.com/en/abs/lossless-compression-with-latent-variable-models-2104.10544</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lossless-compression-with-latent-variable-models-2104.10544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lossless-compression-with-latent-variable-models-2104.10544"/></url>
<url><loc>https://scifaro.com/en/abs/mlds-a-dataset-for-weight-space-analysis-of-neural-networks-2104.10555</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mlds-a-dataset-for-weight-space-analysis-of-neural-networks-2104.10555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mlds-a-dataset-for-weight-space-analysis-of-neural-networks-2104.10555"/></url>
<url><loc>https://scifaro.com/en/abs/graphtheta-a-distributed-graph-neural-network-learning-system-with-flexible-training-strategy-2104.10569</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphtheta-a-distributed-graph-neural-network-learning-system-with-flexible-training-strategy-2104.10569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphtheta-a-distributed-graph-neural-network-learning-system-with-flexible-training-strategy-2104.10569"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-of-robust-experts-more-a-robust-denoising-method-towards-multiple-perturbations-2104.10586</loc><lastmod>2025-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-of-robust-experts-more-a-robust-denoising-method-towards-multiple-perturbations-2104.10586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-of-robust-experts-more-a-robust-denoising-method-towards-multiple-perturbations-2104.10586"/></url>
<url><loc>https://scifaro.com/en/abs/policy-fusion-for-adaptive-and-customizable-reinforcement-learning-agents-2104.10610</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-fusion-for-adaptive-and-customizable-reinforcement-learning-agents-2104.10610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-fusion-for-adaptive-and-customizable-reinforcement-learning-agents-2104.10610"/></url>
<url><loc>https://scifaro.com/en/abs/searching-to-sparsify-tensor-decomposition-for-n-ary-relational-data-2104.10625</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/searching-to-sparsify-tensor-decomposition-for-n-ary-relational-data-2104.10625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/searching-to-sparsify-tensor-decomposition-for-n-ary-relational-data-2104.10625"/></url>
<url><loc>https://scifaro.com/en/abs/metricopt-learning-to-optimize-black-box-evaluation-metrics-2104.10631</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metricopt-learning-to-optimize-black-box-evaluation-metrics-2104.10631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metricopt-learning-to-optimize-black-box-evaluation-metrics-2104.10631"/></url>
<url><loc>https://scifaro.com/en/abs/robust-kernel-based-distribution-regression-2104.10637</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-kernel-based-distribution-regression-2104.10637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-kernel-based-distribution-regression-2104.10637"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-study-of-using-spatial-temporal-graph-convolutional-networks-for-predicting-availability-in-bike-sharing-schemes-2104.10644</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-study-of-using-spatial-temporal-graph-convolutional-networks-for-predicting-availability-in-bike-sharing-schemes-2104.10644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-study-of-using-spatial-temporal-graph-convolutional-networks-for-predicting-availability-in-bike-sharing-schemes-2104.10644"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-what-really-matters-optimizing-neural-networks-for-tinyml-2104.10645</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-what-really-matters-optimizing-neural-networks-for-tinyml-2104.10645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-what-really-matters-optimizing-neural-networks-for-tinyml-2104.10645"/></url>
<url><loc>https://scifaro.com/en/abs/causal-tgan-generating-tabular-data-using-causal-generative-adversarial-networks-2104.10680</loc><lastmod>2021-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-tgan-generating-tabular-data-using-causal-generative-adversarial-networks-2104.10680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-tgan-generating-tabular-data-using-causal-generative-adversarial-networks-2104.10680"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-artificial-intelligence-for-mechanics-physics-informing-neural-networks-for-constitutive-models-2104.10683</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-artificial-intelligence-for-mechanics-physics-informing-neural-networks-for-constitutive-models-2104.10683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-artificial-intelligence-for-mechanics-physics-informing-neural-networks-for-constitutive-models-2104.10683"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-toll-prediction-using-historical-data-on-toll-roads-case-study-of-the-i-66-inner-beltway-2104.10684</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-toll-prediction-using-historical-data-on-toll-roads-case-study-of-the-i-66-inner-beltway-2104.10684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-toll-prediction-using-historical-data-on-toll-roads-case-study-of-the-i-66-inner-beltway-2104.10684"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-aware-boosted-ensembling-in-multi-modal-settings-2104.10715</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-aware-boosted-ensembling-in-multi-modal-settings-2104.10715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-aware-boosted-ensembling-in-multi-modal-settings-2104.10715"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-spmm-kernel-with-cache-first-edge-sampling-for-graph-neural-networks-2104.10716</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-spmm-kernel-with-cache-first-edge-sampling-for-graph-neural-networks-2104.10716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-spmm-kernel-with-cache-first-edge-sampling-for-graph-neural-networks-2104.10716"/></url>
<url><loc>https://scifaro.com/en/abs/deep-limits-and-cut-off-phenomena-for-neural-networks-2104.10727</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-limits-and-cut-off-phenomena-for-neural-networks-2104.10727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-limits-and-cut-off-phenomena-for-neural-networks-2104.10727"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-introductory-computer-science-exercises-using-topic-modeling-methods-2104.10748</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-introductory-computer-science-exercises-using-topic-modeling-methods-2104.10748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-introductory-computer-science-exercises-using-topic-modeling-methods-2104.10748"/></url>
<url><loc>https://scifaro.com/en/abs/rule-generation-for-classification-scalability-interpretability-and-fairness-2104.10751</loc><lastmod>2025-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rule-generation-for-classification-scalability-interpretability-and-fairness-2104.10751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rule-generation-for-classification-scalability-interpretability-and-fairness-2104.10751"/></url>
<url><loc>https://scifaro.com/en/abs/viking-variational-bayesian-variance-tracking-2104.10777</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/viking-variational-bayesian-variance-tracking-2104.10777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/viking-variational-bayesian-variance-tracking-2104.10777"/></url>
<url><loc>https://scifaro.com/en/abs/an-accurate-and-efficient-large-scale-regression-method-through-best-friend-clustering-2104.10819</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-accurate-and-efficient-large-scale-regression-method-through-best-friend-clustering-2104.10819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-accurate-and-efficient-large-scale-regression-method-through-best-friend-clustering-2104.10819"/></url>
<url><loc>https://scifaro.com/en/abs/robust-certification-for-laplace-learning-on-geometric-graphs-2104.10837</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-certification-for-laplace-learning-on-geometric-graphs-2104.10837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-certification-for-laplace-learning-on-geometric-graphs-2104.10837"/></url>
<url><loc>https://scifaro.com/en/abs/instantnet-automated-generation-and-deployment-of-instantaneously-switchable-precision-networks-2104.10853</loc><lastmod>2025-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instantnet-automated-generation-and-deployment-of-instantaneously-switchable-precision-networks-2104.10853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instantnet-automated-generation-and-deployment-of-instantaneously-switchable-precision-networks-2104.10853"/></url>
<url><loc>https://scifaro.com/en/abs/mosaic-flows-a-transferable-deep-learning-framework-for-solving-pdes-on-unseen-domains-2104.10873</loc><lastmod>2022-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mosaic-flows-a-transferable-deep-learning-framework-for-solving-pdes-on-unseen-domains-2104.10873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mosaic-flows-a-transferable-deep-learning-framework-for-solving-pdes-on-unseen-domains-2104.10873"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-relation-aware-scoring-function-search-for-knowledge-graph-embedding-2104.10880</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-relation-aware-scoring-function-search-for-knowledge-graph-embedding-2104.10880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-relation-aware-scoring-function-search-for-knowledge-graph-embedding-2104.10880"/></url>
<url><loc>https://scifaro.com/en/abs/independent-reinforcement-learning-for-weakly-cooperative-multiagent-traffic-control-problem-2104.10917</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/independent-reinforcement-learning-for-weakly-cooperative-multiagent-traffic-control-problem-2104.10917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/independent-reinforcement-learning-for-weakly-cooperative-multiagent-traffic-control-problem-2104.10917"/></url>
<url><loc>https://scifaro.com/en/abs/semiotic-aggregation-in-deep-learning-2104.10931</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semiotic-aggregation-in-deep-learning-2104.10931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semiotic-aggregation-in-deep-learning-2104.10931"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-using-guided-observability-2104.10986</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-using-guided-observability-2104.10986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-using-guided-observability-2104.10986"/></url>
<url><loc>https://scifaro.com/en/abs/a-learning-gap-between-neuroscience-and-reinforcement-learning-2104.10995</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-learning-gap-between-neuroscience-and-reinforcement-learning-2104.10995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-learning-gap-between-neuroscience-and-reinforcement-learning-2104.10995"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-monotonic-linear-interpolation-in-neural-network-loss-landscapes-2104.11044</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-monotonic-linear-interpolation-in-neural-network-loss-landscapes-2104.11044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-monotonic-linear-interpolation-in-neural-network-loss-landscapes-2104.11044"/></url>
<url><loc>https://scifaro.com/en/abs/survey-on-modeling-intensity-function-of-hawkes-process-using-neural-models-2104.11092</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survey-on-modeling-intensity-function-of-hawkes-process-using-neural-models-2104.11092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survey-on-modeling-intensity-function-of-hawkes-process-using-neural-models-2104.11092"/></url>
<url><loc>https://scifaro.com/en/abs/performance-evaluation-of-adversarial-attacks-discrepancies-and-solutions-2104.11103</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-evaluation-of-adversarial-attacks-discrepancies-and-solutions-2104.11103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-evaluation-of-adversarial-attacks-discrepancies-and-solutions-2104.11103"/></url>
<url><loc>https://scifaro.com/en/abs/a-feature-selection-method-for-multi-dimension-time-series-data-2104.11110</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-feature-selection-method-for-multi-dimension-time-series-data-2104.11110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-feature-selection-method-for-multi-dimension-time-series-data-2104.11110"/></url>
<url><loc>https://scifaro.com/en/abs/scalecom-scalable-sparsified-gradient-compression-for-communication-efficient-distributed-training-2104.11125</loc><lastmod>2021-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalecom-scalable-sparsified-gradient-compression-for-communication-efficient-distributed-training-2104.11125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalecom-scalable-sparsified-gradient-compression-for-communication-efficient-distributed-training-2104.11125"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-shortest-path-minimax-parameter-free-and-towards-horizon-free-regret-2104.11186</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-shortest-path-minimax-parameter-free-and-towards-horizon-free-regret-2104.11186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-shortest-path-minimax-parameter-free-and-towards-horizon-free-regret-2104.11186"/></url>
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<url><loc>https://scifaro.com/en/abs/a-machine-learning-framework-for-real-time-inverse-modeling-and-multi-objective-process-optimization-of-composites-for-active-manufacturing-control-2104.11342</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-framework-for-real-time-inverse-modeling-and-multi-objective-process-optimization-of-composites-for-active-manufacturing-control-2104.11342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-framework-for-real-time-inverse-modeling-and-multi-objective-process-optimization-of-composites-for-active-manufacturing-control-2104.11342"/></url>
<url><loc>https://scifaro.com/en/abs/intentional-deep-overfit-learning-idol-a-novel-deep-learning-strategy-for-adaptive-radiation-therapy-2104.11401</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intentional-deep-overfit-learning-idol-a-novel-deep-learning-strategy-for-adaptive-radiation-therapy-2104.11401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intentional-deep-overfit-learning-idol-a-novel-deep-learning-strategy-for-adaptive-radiation-therapy-2104.11401"/></url>
<url><loc>https://scifaro.com/en/abs/neural-mean-discrepancy-for-efficient-out-of-distribution-detection-2104.11408</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-mean-discrepancy-for-efficient-out-of-distribution-detection-2104.11408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-mean-discrepancy-for-efficient-out-of-distribution-detection-2104.11408"/></url>
<url><loc>https://scifaro.com/en/abs/a-modularity-comparison-of-long-short-term-memory-and-morphognosis-neural-networks-2104.11410</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-modularity-comparison-of-long-short-term-memory-and-morphognosis-neural-networks-2104.11410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-modularity-comparison-of-long-short-term-memory-and-morphognosis-neural-networks-2104.11410"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-information-obfuscation-for-split-inference-of-neural-networks-2104.11413</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-information-obfuscation-for-split-inference-of-neural-networks-2104.11413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-information-obfuscation-for-split-inference-of-neural-networks-2104.11413"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-recognizing-and-estimating-human-concentration-levels-2104.11421</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-recognizing-and-estimating-human-concentration-levels-2104.11421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-recognizing-and-estimating-human-concentration-levels-2104.11421"/></url>
<url><loc>https://scifaro.com/en/abs/learning-phylogenetic-trees-as-hyperbolic-point-configurations-2104.11430</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-phylogenetic-trees-as-hyperbolic-point-configurations-2104.11430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-phylogenetic-trees-as-hyperbolic-point-configurations-2104.11430"/></url>
<url><loc>https://scifaro.com/en/abs/random-noise-defense-against-query-based-black-box-attacks-2104.11470</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-noise-defense-against-query-based-black-box-attacks-2104.11470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-noise-defense-against-query-based-black-box-attacks-2104.11470"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-on-ensemble-learning-for-time-series-forecasting-and-the-need-for-meta-learning-2104.11475</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-on-ensemble-learning-for-time-series-forecasting-and-the-need-for-meta-learning-2104.11475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-on-ensemble-learning-for-time-series-forecasting-and-the-need-for-meta-learning-2104.11475"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-biases-and-self-supervised-learning-in-modelling-a-physical-heating-system-2104.11478</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-biases-and-self-supervised-learning-in-modelling-a-physical-heating-system-2104.11478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-biases-and-self-supervised-learning-in-modelling-a-physical-heating-system-2104.11478"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-forecasting-via-learning-convolutionally-low-rank-models-2104.11510</loc><lastmod>2022-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-forecasting-via-learning-convolutionally-low-rank-models-2104.11510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-forecasting-via-learning-convolutionally-low-rank-models-2104.11510"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-super-network-weights-2104.11522</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-super-network-weights-2104.11522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-super-network-weights-2104.11522"/></url>
<url><loc>https://scifaro.com/en/abs/knodle-modular-weakly-supervised-learning-with-pytorch-2104.11557</loc><lastmod>2021-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knodle-modular-weakly-supervised-learning-with-pytorch-2104.11557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knodle-modular-weakly-supervised-learning-with-pytorch-2104.11557"/></url>
<url><loc>https://scifaro.com/en/abs/eccentric-regularization-minimizing-hyperspherical-energy-without-explicit-projection-2104.11610</loc><lastmod>2022-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eccentric-regularization-minimizing-hyperspherical-energy-without-explicit-projection-2104.11610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eccentric-regularization-minimizing-hyperspherical-energy-without-explicit-projection-2104.11610"/></url>
<url><loc>https://scifaro.com/en/abs/guidebp-guiding-backpropagation-through-weaker-pathways-of-parallel-logits-2104.11620</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guidebp-guiding-backpropagation-through-weaker-pathways-of-parallel-logits-2104.11620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guidebp-guiding-backpropagation-through-weaker-pathways-of-parallel-logits-2104.11620"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-bayesian-optimization-of-scientific-problems-with-high-dimensional-structure-2104.11667</loc><lastmod>2022-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-bayesian-optimization-of-scientific-problems-with-high-dimensional-structure-2104.11667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-bayesian-optimization-of-scientific-problems-with-high-dimensional-structure-2104.11667"/></url>
<url><loc>https://scifaro.com/en/abs/genetic-constrained-graph-variational-autoencoder-for-covid-19-drug-discovery-2104.11674</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/genetic-constrained-graph-variational-autoencoder-for-covid-19-drug-discovery-2104.11674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/genetic-constrained-graph-variational-autoencoder-for-covid-19-drug-discovery-2104.11674"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-unsupervised-classificiation-and-data-mining-of-tweets-about-cyber-vulnerabilities-2104.11695</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-unsupervised-classificiation-and-data-mining-of-tweets-about-cyber-vulnerabilities-2104.11695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-unsupervised-classificiation-and-data-mining-of-tweets-about-cyber-vulnerabilities-2104.11695"/></url>
<url><loc>https://scifaro.com/en/abs/robust-federated-learning-by-mixture-of-experts-2104.11700</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-federated-learning-by-mixture-of-experts-2104.11700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-federated-learning-by-mixture-of-experts-2104.11700"/></url>
<url><loc>https://scifaro.com/en/abs/safe-chance-constrained-reinforcement-learning-for-batch-process-control-2104.11706</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-chance-constrained-reinforcement-learning-for-batch-process-control-2104.11706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-chance-constrained-reinforcement-learning-for-batch-process-control-2104.11706"/></url>
<url><loc>https://scifaro.com/en/abs/disco-rl-distribution-conditioned-reinforcement-learning-for-general-purpose-policies-2104.11707</loc><lastmod>2021-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disco-rl-distribution-conditioned-reinforcement-learning-for-general-purpose-policies-2104.11707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disco-rl-distribution-conditioned-reinforcement-learning-for-general-purpose-policies-2104.11707"/></url>
<url><loc>https://scifaro.com/en/abs/exact-marginal-prior-distributions-of-finite-bayesian-neural-networks-2104.11734</loc><lastmod>2022-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-marginal-prior-distributions-of-finite-bayesian-neural-networks-2104.11734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-marginal-prior-distributions-of-finite-bayesian-neural-networks-2104.11734"/></url>
<url><loc>https://scifaro.com/en/abs/realising-active-inference-in-variational-message-passing-the-outcome-blind-certainty-seeker-2104.11798</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/realising-active-inference-in-variational-message-passing-the-outcome-blind-certainty-seeker-2104.11798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/realising-active-inference-in-variational-message-passing-the-outcome-blind-certainty-seeker-2104.11798"/></url>
<url><loc>https://scifaro.com/en/abs/partitioning-sparse-deep-neural-networks-for-scalable-training-and-inference-2104.11805</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partitioning-sparse-deep-neural-networks-for-scalable-training-and-inference-2104.11805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partitioning-sparse-deep-neural-networks-for-scalable-training-and-inference-2104.11805"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-dynamic-regret-in-exp-concave-online-learning-2104.11824</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-dynamic-regret-in-exp-concave-online-learning-2104.11824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-dynamic-regret-in-exp-concave-online-learning-2104.11824"/></url>
<url><loc>https://scifaro.com/en/abs/selecting-a-number-of-voters-for-a-voting-ensemble-2104.11833</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selecting-a-number-of-voters-for-a-voting-ensemble-2104.11833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selecting-a-number-of-voters-for-a-voting-ensemble-2104.11833"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-near-optimal-experiment-design-for-drug-discovery-via-bayesian-sparse-sampling-2104.11834</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-near-optimal-experiment-design-for-drug-discovery-via-bayesian-sparse-sampling-2104.11834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-near-optimal-experiment-design-for-drug-discovery-via-bayesian-sparse-sampling-2104.11834"/></url>
<url><loc>https://scifaro.com/en/abs/one-round-active-learning-2104.11843</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-round-active-learning-2104.11843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-round-active-learning-2104.11843"/></url>
<url><loc>https://scifaro.com/en/abs/joint-detection-and-localization-of-stealth-false-data-injection-attacks-in-smart-grids-using-graph-neural-networks-2104.11846</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-detection-and-localization-of-stealth-false-data-injection-attacks-in-smart-grids-using-graph-neural-networks-2104.11846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-detection-and-localization-of-stealth-false-data-injection-attacks-in-smart-grids-using-graph-neural-networks-2104.11846"/></url>
<url><loc>https://scifaro.com/en/abs/class-incremental-experience-replay-for-continual-learning-under-concept-drift-2104.11861</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-incremental-experience-replay-for-continual-learning-under-concept-drift-2104.11861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-incremental-experience-replay-for-continual-learning-under-concept-drift-2104.11861"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-multi-dimensional-data-via-subset-embedding-2104.11867</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-multi-dimensional-data-via-subset-embedding-2104.11867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-multi-dimensional-data-via-subset-embedding-2104.11867"/></url>
<url><loc>https://scifaro.com/en/abs/lgd-gcn-local-and-global-disentangled-graph-convolutional-networks-2104.11893</loc><lastmod>2023-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lgd-gcn-local-and-global-disentangled-graph-convolutional-networks-2104.11893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lgd-gcn-local-and-global-disentangled-graph-convolutional-networks-2104.11893"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-small-test-error-in-mildly-overparameterized-neural-networks-2104.11895</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-small-test-error-in-mildly-overparameterized-neural-networks-2104.11895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-small-test-error-in-mildly-overparameterized-neural-networks-2104.11895"/></url>
<url><loc>https://scifaro.com/en/abs/ask-explore-grounded-question-answering-for-curiosity-driven-exploration-2104.11902</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ask-explore-grounded-question-answering-for-curiosity-driven-exploration-2104.11902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ask-explore-grounded-question-answering-for-curiosity-driven-exploration-2104.11902"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-neural-symbolic-learning-x-nesyl-methodology-to-fuse-deep-learning-representations-with-expert-knowledge-graphs-the-monumai-cultural-heritage-use-case-2104.11914</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-neural-symbolic-learning-x-nesyl-methodology-to-fuse-deep-learning-representations-with-expert-knowledge-graphs-the-monumai-cultural-heritage-use-case-2104.11914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-neural-symbolic-learning-x-nesyl-methodology-to-fuse-deep-learning-representations-with-expert-knowledge-graphs-the-monumai-cultural-heritage-use-case-2104.11914"/></url>
<url><loc>https://scifaro.com/en/abs/aligned-contrastive-predictive-coding-2104.11946</loc><lastmod>2024-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aligned-contrastive-predictive-coding-2104.11946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aligned-contrastive-predictive-coding-2104.11946"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-anomaly-detection-via-conditional-generative-adversarial-network-and-ensemble-active-learning-2104.11952</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-anomaly-detection-via-conditional-generative-adversarial-network-and-ensemble-active-learning-2104.11952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-anomaly-detection-via-conditional-generative-adversarial-network-and-ensemble-active-learning-2104.11952"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-novelty-in-autonomous-vehicles-motion-using-local-outlier-factor-algorithm-2104.11970</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-novelty-in-autonomous-vehicles-motion-using-local-outlier-factor-algorithm-2104.11970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-novelty-in-autonomous-vehicles-motion-using-local-outlier-factor-algorithm-2104.11970"/></url>
<url><loc>https://scifaro.com/en/abs/baller2vec-a-look-ahead-multi-entity-transformer-for-modeling-coordinated-agents-2104.11980</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/baller2vec-a-look-ahead-multi-entity-transformer-for-modeling-coordinated-agents-2104.11980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/baller2vec-a-look-ahead-multi-entity-transformer-for-modeling-coordinated-agents-2104.11980"/></url>
<url><loc>https://scifaro.com/en/abs/decentlam-decentralized-momentum-sgd-for-large-batch-deep-training-2104.11981</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentlam-decentralized-momentum-sgd-for-large-batch-deep-training-2104.11981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentlam-decentralized-momentum-sgd-for-large-batch-deep-training-2104.11981"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-reinforcement-learning-approach-for-the-meal-delivery-problem-2104.12000</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-reinforcement-learning-approach-for-the-meal-delivery-problem-2104.12000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-reinforcement-learning-approach-for-the-meal-delivery-problem-2104.12000"/></url>
<url><loc>https://scifaro.com/en/abs/balancing-accuracy-and-latency-in-multipath-neural-networks-2104.12040</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balancing-accuracy-and-latency-in-multipath-neural-networks-2104.12040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balancing-accuracy-and-latency-in-multipath-neural-networks-2104.12040"/></url>
<url><loc>https://scifaro.com/en/abs/math-operation-embeddings-for-open-ended-solution-analysis-and-feedback-2104.12047</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/math-operation-embeddings-for-open-ended-solution-analysis-and-feedback-2104.12047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/math-operation-embeddings-for-open-ended-solution-analysis-and-feedback-2104.12047"/></url>
<url><loc>https://scifaro.com/en/abs/how-well-does-self-supervised-pre-training-perform-with-streaming-data-2104.12081</loc><lastmod>2022-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-well-does-self-supervised-pre-training-perform-with-streaming-data-2104.12081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-well-does-self-supervised-pre-training-perform-with-streaming-data-2104.12081"/></url>
<url><loc>https://scifaro.com/en/abs/fedsup-a-communication-efficient-federated-learning-fatigue-driving-behaviors-supervision-framework-2104.12086</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedsup-a-communication-efficient-federated-learning-fatigue-driving-behaviors-supervision-framework-2104.12086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedsup-a-communication-efficient-federated-learning-fatigue-driving-behaviors-supervision-framework-2104.12086"/></url>
<url><loc>https://scifaro.com/en/abs/improved-analysis-and-rates-for-variance-reduction-under-without-replacement-sampling-orders-2104.12112</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-analysis-and-rates-for-variance-reduction-under-without-replacement-sampling-orders-2104.12112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-analysis-and-rates-for-variance-reduction-under-without-replacement-sampling-orders-2104.12112"/></url>
<url><loc>https://scifaro.com/en/abs/fair-capacitated-clustering-2104.12116</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-capacitated-clustering-2104.12116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-capacitated-clustering-2104.12116"/></url>
<url><loc>https://scifaro.com/en/abs/development-of-a-soft-actor-critic-deep-reinforcement-learning-approach-for-harnessing-energy-flexibility-in-a-large-office-building-2104.12125</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/development-of-a-soft-actor-critic-deep-reinforcement-learning-approach-for-harnessing-energy-flexibility-in-a-large-office-building-2104.12125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/development-of-a-soft-actor-critic-deep-reinforcement-learning-approach-for-harnessing-energy-flexibility-in-a-large-office-building-2104.12125"/></url>
<url><loc>https://scifaro.com/en/abs/demystification-of-few-shot-and-one-shot-learning-2104.12174</loc><lastmod>2023-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystification-of-few-shot-and-one-shot-learning-2104.12174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystification-of-few-shot-and-one-shot-learning-2104.12174"/></url>
<url><loc>https://scifaro.com/en/abs/dc3-a-learning-method-for-optimization-with-hard-constraints-2104.12225</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dc3-a-learning-method-for-optimization-with-hard-constraints-2104.12225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dc3-a-learning-method-for-optimization-with-hard-constraints-2104.12225"/></url>
<url><loc>https://scifaro.com/en/abs/rp-dqn-an-application-of-q-learning-to-vehicle-routing-problems-2104.12226</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rp-dqn-an-application-of-q-learning-to-vehicle-routing-problems-2104.12226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rp-dqn-an-application-of-q-learning-to-vehicle-routing-problems-2104.12226"/></url>
<url><loc>https://scifaro.com/en/abs/auto-weighted-low-rank-representation-for-clustering-2104.12308</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-weighted-low-rank-representation-for-clustering-2104.12308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-weighted-low-rank-representation-for-clustering-2104.12308"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-recurrent-neural-network-for-multistep-time-series-forecasting-2104.12311</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-recurrent-neural-network-for-multistep-time-series-forecasting-2104.12311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-recurrent-neural-network-for-multistep-time-series-forecasting-2104.12311"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-training-of-physics-informed-neural-networks-via-importance-sampling-2104.12325</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-training-of-physics-informed-neural-networks-via-importance-sampling-2104.12325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-training-of-physics-informed-neural-networks-via-importance-sampling-2104.12325"/></url>
<url><loc>https://scifaro.com/en/abs/one-parameter-family-of-acquisition-functions-for-efficient-global-optimization-2104.12363</loc><lastmod>2023-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-parameter-family-of-acquisition-functions-for-efficient-global-optimization-2104.12363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-parameter-family-of-acquisition-functions-for-efficient-global-optimization-2104.12363"/></url>
<url><loc>https://scifaro.com/en/abs/syft-0-5-a-platform-for-universally-deployable-structured-transparency-2104.12385</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/syft-0-5-a-platform-for-universally-deployable-structured-transparency-2104.12385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/syft-0-5-a-platform-for-universally-deployable-structured-transparency-2104.12385"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-federated-learning-with-dual-side-low-rank-compression-2104.12416</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-federated-learning-with-dual-side-low-rank-compression-2104.12416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-federated-learning-with-dual-side-low-rank-compression-2104.12416"/></url>
<url><loc>https://scifaro.com/en/abs/launching-adversarial-attacks-against-network-intrusion-detection-systems-for-iot-2104.12426</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/launching-adversarial-attacks-against-network-intrusion-detection-systems-for-iot-2104.12426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/launching-adversarial-attacks-against-network-intrusion-detection-systems-for-iot-2104.12426"/></url>
<url><loc>https://scifaro.com/en/abs/towards-rigorous-interpretations-a-formalisation-of-feature-attribution-2104.12437</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-rigorous-interpretations-a-formalisation-of-feature-attribution-2104.12437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-rigorous-interpretations-a-formalisation-of-feature-attribution-2104.12437"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-multi-task-learning-for-concept-based-explainability-2104.12459</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-multi-task-learning-for-concept-based-explainability-2104.12459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-multi-task-learning-for-concept-based-explainability-2104.12459"/></url>
<url><loc>https://scifaro.com/en/abs/an-exploration-into-why-output-regularization-mitigates-label-noise-2104.12477</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-exploration-into-why-output-regularization-mitigates-label-noise-2104.12477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-exploration-into-why-output-regularization-mitigates-label-noise-2104.12477"/></url>
<url><loc>https://scifaro.com/en/abs/powered-dirichlet-process-for-controlling-the-importance-of-rich-get-richer-prior-assumptions-in-bayesian-clustering-2104.12485</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/powered-dirichlet-process-for-controlling-the-importance-of-rich-get-richer-prior-assumptions-in-bayesian-clustering-2104.12485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/powered-dirichlet-process-for-controlling-the-importance-of-rich-get-richer-prior-assumptions-in-bayesian-clustering-2104.12485"/></url>
<url><loc>https://scifaro.com/en/abs/boolean-reasoning-based-biclustering-for-shifting-pattern-extraction-2104.12493</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boolean-reasoning-based-biclustering-for-shifting-pattern-extraction-2104.12493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boolean-reasoning-based-biclustering-for-shifting-pattern-extraction-2104.12493"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-and-personalized-federated-lottery-ticket-learning-2104.12501</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-and-personalized-federated-lottery-ticket-learning-2104.12501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-and-personalized-federated-lottery-ticket-learning-2104.12501"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-forecast-of-ev-charging-stations-occupancy-probability-using-big-data-streaming-analysis-2104.12503</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-forecast-of-ev-charging-stations-occupancy-probability-using-big-data-streaming-analysis-2104.12503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-forecast-of-ev-charging-stations-occupancy-probability-using-big-data-streaming-analysis-2104.12503"/></url>
<url><loc>https://scifaro.com/en/abs/unified-spatio-temporal-modeling-for-traffic-forecasting-using-graph-neural-network-2104.12518</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-spatio-temporal-modeling-for-traffic-forecasting-using-graph-neural-network-2104.12518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-spatio-temporal-modeling-for-traffic-forecasting-using-graph-neural-network-2104.12518"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-pruning-and-quantization-for-low-latency-spiking-neural-networks-2104.12528</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-pruning-and-quantization-for-low-latency-spiking-neural-networks-2104.12528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-pruning-and-quantization-for-low-latency-spiking-neural-networks-2104.12528"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-intelligence-based-prognostic-maintenance-of-renewable-energy-systems-a-review-of-techniques-challenges-and-future-research-directions-2104.12561</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-intelligence-based-prognostic-maintenance-of-renewable-energy-systems-a-review-of-techniques-challenges-and-future-research-directions-2104.12561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-intelligence-based-prognostic-maintenance-of-renewable-energy-systems-a-review-of-techniques-challenges-and-future-research-directions-2104.12561"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-solution-for-systems-of-linear-equations-in-mathcal-o-mn-time-2104.12570</loc><lastmod>2023-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-solution-for-systems-of-linear-equations-in-mathcal-o-mn-time-2104.12570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-solution-for-systems-of-linear-equations-in-mathcal-o-mn-time-2104.12570"/></url>
<url><loc>https://scifaro.com/en/abs/a-splicing-approach-to-best-subset-of-groups-selection-2104.12576</loc><lastmod>2022-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-splicing-approach-to-best-subset-of-groups-selection-2104.12576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-splicing-approach-to-best-subset-of-groups-selection-2104.12576"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-accelerating-em-algorithm-s-convergence-by-fair-competition-principle-and-rate-verisimilitude-function-2104.12592</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-accelerating-em-algorithm-s-convergence-by-fair-competition-principle-and-rate-verisimilitude-function-2104.12592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-accelerating-em-algorithm-s-convergence-by-fair-competition-principle-and-rate-verisimilitude-function-2104.12592"/></url>
<url><loc>https://scifaro.com/en/abs/maq-caf-a-modular-air-quality-calibration-and-forecasting-method-for-cross-sensitive-pollutants-2104.12594</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maq-caf-a-modular-air-quality-calibration-and-forecasting-method-for-cross-sensitive-pollutants-2104.12594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maq-caf-a-modular-air-quality-calibration-and-forecasting-method-for-cross-sensitive-pollutants-2104.12594"/></url>
<url><loc>https://scifaro.com/en/abs/improving-botnet-detection-with-recurrent-neural-network-and-transfer-learning-2104.12602</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-botnet-detection-with-recurrent-neural-network-and-transfer-learning-2104.12602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-botnet-detection-with-recurrent-neural-network-and-transfer-learning-2104.12602"/></url>
<url><loc>https://scifaro.com/en/abs/good-artists-copy-great-artists-steal-model-extraction-attacks-against-image-translation-models-2104.12623</loc><lastmod>2023-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/good-artists-copy-great-artists-steal-model-extraction-attacks-against-image-translation-models-2104.12623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/good-artists-copy-great-artists-steal-model-extraction-attacks-against-image-translation-models-2104.12623"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-regression-algorithms-and-connections-with-deep-learning-2104.12647</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-regression-algorithms-and-connections-with-deep-learning-2104.12647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-regression-algorithms-and-connections-with-deep-learning-2104.12647"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-interaction-based-methodology-towards-explainable-ai-with-better-understanding-of-pneumonia-chest-x-ray-images-2104.12672</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-interaction-based-methodology-towards-explainable-ai-with-better-understanding-of-pneumonia-chest-x-ray-images-2104.12672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-interaction-based-methodology-towards-explainable-ai-with-better-understanding-of-pneumonia-chest-x-ray-images-2104.12672"/></url>
<url><loc>https://scifaro.com/en/abs/impact-of-spatial-frequency-based-constraints-on-adversarial-robustness-2104.12679</loc><lastmod>2023-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impact-of-spatial-frequency-based-constraints-on-adversarial-robustness-2104.12679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impact-of-spatial-frequency-based-constraints-on-adversarial-robustness-2104.12679"/></url>
<url><loc>https://scifaro.com/en/abs/towards-sustainable-census-independent-population-estimation-in-mozambique-2104.12696</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-sustainable-census-independent-population-estimation-in-mozambique-2104.12696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-sustainable-census-independent-population-estimation-in-mozambique-2104.12696"/></url>
<url><loc>https://scifaro.com/en/abs/dominant-motion-identification-of-multi-particle-system-using-deep-learning-from-video-2104.12722</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dominant-motion-identification-of-multi-particle-system-using-deep-learning-from-video-2104.12722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dominant-motion-identification-of-multi-particle-system-using-deep-learning-from-video-2104.12722"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-evolutionary-models-with-digraphons-2104.12748</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-evolutionary-models-with-digraphons-2104.12748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-evolutionary-models-with-digraphons-2104.12748"/></url>
<url><loc>https://scifaro.com/en/abs/instance-wise-causal-feature-selection-for-model-interpretation-2104.12759</loc><lastmod>2021-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-wise-causal-feature-selection-for-model-interpretation-2104.12759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-wise-causal-feature-selection-for-model-interpretation-2104.12759"/></url>
<url><loc>https://scifaro.com/en/abs/universal-off-policy-evaluation-2104.12820</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-off-policy-evaluation-2104.12820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-off-policy-evaluation-2104.12820"/></url>
<url><loc>https://scifaro.com/en/abs/learning-based-decentralized-offloading-decision-making-in-an-adversarial-environment-2104.12827</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-based-decentralized-offloading-decision-making-in-an-adversarial-environment-2104.12827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-based-decentralized-offloading-decision-making-in-an-adversarial-environment-2104.12827"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-instance-selection-with-low-label-supervised-learning-for-outlier-detection-2104.12837</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-instance-selection-with-low-label-supervised-learning-for-outlier-detection-2104.12837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-instance-selection-with-low-label-supervised-learning-for-outlier-detection-2104.12837"/></url>
<url><loc>https://scifaro.com/en/abs/adagnn-graph-neural-networks-with-adaptive-frequency-response-filter-2104.12840</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adagnn-graph-neural-networks-with-adaptive-frequency-response-filter-2104.12840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adagnn-graph-neural-networks-with-adaptive-frequency-response-filter-2104.12840"/></url>
<url><loc>https://scifaro.com/en/abs/lcs-dive-an-automated-rule-based-machine-learning-visualization-pipeline-for-characterizing-complex-associations-in-classification-2104.12844</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lcs-dive-an-automated-rule-based-machine-learning-visualization-pipeline-for-characterizing-complex-associations-in-classification-2104.12844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lcs-dive-an-automated-rule-based-machine-learning-visualization-pipeline-for-characterizing-complex-associations-in-classification-2104.12844"/></url>
<url><loc>https://scifaro.com/en/abs/fuzzy-expert-systems-for-prediction-of-icu-admission-in-patients-with-covid-19-2104.12868</loc><lastmod>2023-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fuzzy-expert-systems-for-prediction-of-icu-admission-in-patients-with-covid-19-2104.12868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fuzzy-expert-systems-for-prediction-of-icu-admission-in-patients-with-covid-19-2104.12868"/></url>
<url><loc>https://scifaro.com/en/abs/continual-distributed-learning-for-crisis-management-2104.12876</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-distributed-learning-for-crisis-management-2104.12876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-distributed-learning-for-crisis-management-2104.12876"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-uncertainty-in-deep-learning-for-construction-of-prediction-intervals-2104.12953</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-uncertainty-in-deep-learning-for-construction-of-prediction-intervals-2104.12953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-uncertainty-in-deep-learning-for-construction-of-prediction-intervals-2104.12953"/></url>
<url><loc>https://scifaro.com/en/abs/structure-aware-hierarchical-graph-pooling-using-information-bottleneck-2104.13012</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-aware-hierarchical-graph-pooling-using-information-bottleneck-2104.13012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-aware-hierarchical-graph-pooling-using-information-bottleneck-2104.13012"/></url>
<url><loc>https://scifaro.com/en/abs/node-embedding-using-mutual-information-and-self-supervision-based-bi-level-aggregation-2104.13014</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-embedding-using-mutual-information-and-self-supervision-based-bi-level-aggregation-2104.13014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-embedding-using-mutual-information-and-self-supervision-based-bi-level-aggregation-2104.13014"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-deep-manifold-attributed-graph-embedding-2104.13048</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-deep-manifold-attributed-graph-embedding-2104.13048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-deep-manifold-attributed-graph-embedding-2104.13048"/></url>
<url><loc>https://scifaro.com/en/abs/confined-gradient-descent-privacy-preserving-optimization-for-federated-learning-2104.13050</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confined-gradient-descent-privacy-preserving-optimization-for-federated-learning-2104.13050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confined-gradient-descent-privacy-preserving-optimization-for-federated-learning-2104.13050"/></url>
<url><loc>https://scifaro.com/en/abs/using-radio-archives-for-low-resource-speech-recognition-towards-an-intelligent-virtual-assistant-for-illiterate-users-2104.13083</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-radio-archives-for-low-resource-speech-recognition-towards-an-intelligent-virtual-assistant-for-illiterate-users-2104.13083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-radio-archives-for-low-resource-speech-recognition-towards-an-intelligent-virtual-assistant-for-illiterate-users-2104.13083"/></url>
<url><loc>https://scifaro.com/en/abs/detection-of-fake-users-in-smps-using-nlp-and-graph-embeddings-2104.13094</loc><lastmod>2023-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-of-fake-users-in-smps-using-nlp-and-graph-embeddings-2104.13094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-of-fake-users-in-smps-using-nlp-and-graph-embeddings-2104.13094"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-for-traffic-forecasting-2104.13096</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-for-traffic-forecasting-2104.13096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-for-traffic-forecasting-2104.13096"/></url>
<url><loc>https://scifaro.com/en/abs/one-backward-from-ten-forward-subsampling-for-large-scale-deep-learning-2104.13114</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-backward-from-ten-forward-subsampling-for-large-scale-deep-learning-2104.13114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-backward-from-ten-forward-subsampling-for-large-scale-deep-learning-2104.13114"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-hamiltonian-deep-neural-networks-2104.13166</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-hamiltonian-deep-neural-networks-2104.13166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-hamiltonian-deep-neural-networks-2104.13166"/></url>
<url><loc>https://scifaro.com/en/abs/structured-sparse-non-negative-matrix-factorization-with-l20-norm-for-scrna-seq-data-analysis-2104.13171</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-sparse-non-negative-matrix-factorization-with-l20-norm-for-scrna-seq-data-analysis-2104.13171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-sparse-non-negative-matrix-factorization-with-l20-norm-for-scrna-seq-data-analysis-2104.13171"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-channel-charting-via-phase-insensitive-distance-computation-2104.13184</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-channel-charting-via-phase-insensitive-distance-computation-2104.13184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-channel-charting-via-phase-insensitive-distance-computation-2104.13184"/></url>
<url><loc>https://scifaro.com/en/abs/learning-low-bending-and-low-distortion-manifold-embeddings-2104.13189</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-low-bending-and-low-distortion-manifold-embeddings-2104.13189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-low-bending-and-low-distortion-manifold-embeddings-2104.13189"/></url>
<url><loc>https://scifaro.com/en/abs/online-parameter-inference-for-the-simulation-of-a-bunsen-flame-using-heteroscedastic-bayesian-neural-network-ensembles-2104.13201</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-parameter-inference-for-the-simulation-of-a-bunsen-flame-using-heteroscedastic-bayesian-neural-network-ensembles-2104.13201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-parameter-inference-for-the-simulation-of-a-bunsen-flame-using-heteroscedastic-bayesian-neural-network-ensembles-2104.13201"/></url>
<url><loc>https://scifaro.com/en/abs/socialai-0-1-towards-a-benchmark-to-stimulate-research-on-socio-cognitive-abilities-in-deep-reinforcement-learning-agents-2104.13207</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/socialai-0-1-towards-a-benchmark-to-stimulate-research-on-socio-cognitive-abilities-in-deep-reinforcement-learning-agents-2104.13207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/socialai-0-1-towards-a-benchmark-to-stimulate-research-on-socio-cognitive-abilities-in-deep-reinforcement-learning-agents-2104.13207"/></url>
<url><loc>https://scifaro.com/en/abs/a-graph-federated-architecture-with-privacy-preserving-learning-2104.13215</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-graph-federated-architecture-with-privacy-preserving-learning-2104.13215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-graph-federated-architecture-with-privacy-preserving-learning-2104.13215"/></url>
<url><loc>https://scifaro.com/en/abs/handling-long-tail-queries-with-slice-aware-conversational-systems-2104.13216</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/handling-long-tail-queries-with-slice-aware-conversational-systems-2104.13216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/handling-long-tail-queries-with-slice-aware-conversational-systems-2104.13216"/></url>
<url><loc>https://scifaro.com/en/abs/influence-based-defense-against-data-poisoning-attacks-in-online-learning-2104.13230</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/influence-based-defense-against-data-poisoning-attacks-in-online-learning-2104.13230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/influence-based-defense-against-data-poisoning-attacks-in-online-learning-2104.13230"/></url>
<url><loc>https://scifaro.com/en/abs/autotuning-polybench-benchmarks-with-llvm-clang-polly-loop-optimization-pragmas-using-bayesian-optimization-extended-version-2104.13242</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autotuning-polybench-benchmarks-with-llvm-clang-polly-loop-optimization-pragmas-using-bayesian-optimization-extended-version-2104.13242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autotuning-polybench-benchmarks-with-llvm-clang-polly-loop-optimization-pragmas-using-bayesian-optimization-extended-version-2104.13242"/></url>
<url><loc>https://scifaro.com/en/abs/early-classification-of-time-series-is-meaningful-2104.13257</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-classification-of-time-series-is-meaningful-2104.13257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-classification-of-time-series-is-meaningful-2104.13257"/></url>
<url><loc>https://scifaro.com/en/abs/a-dual-process-model-for-optimizing-cross-entropy-in-neural-networks-2104.13277</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dual-process-model-for-optimizing-cross-entropy-in-neural-networks-2104.13277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dual-process-model-for-optimizing-cross-entropy-in-neural-networks-2104.13277"/></url>
<url><loc>https://scifaro.com/en/abs/model-centric-data-manifold-the-data-through-the-eyes-of-the-model-2104.13289</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-centric-data-manifold-the-data-through-the-eyes-of-the-model-2104.13289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-centric-data-manifold-the-data-through-the-eyes-of-the-model-2104.13289"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-adversarial-training-for-meta-reinforcement-learning-2104.13302</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-adversarial-training-for-meta-reinforcement-learning-2104.13302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-adversarial-training-for-meta-reinforcement-learning-2104.13302"/></url>
<url><loc>https://scifaro.com/en/abs/multi-fairness-under-class-imbalance-2104.13312</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-fairness-under-class-imbalance-2104.13312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-fairness-under-class-imbalance-2104.13312"/></url>
<url><loc>https://scifaro.com/en/abs/building-gan-graph-conditioned-architectural-volumetric-design-generation-2104.13316</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-gan-graph-conditioned-architectural-volumetric-design-generation-2104.13316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-gan-graph-conditioned-architectural-volumetric-design-generation-2104.13316"/></url>
<url><loc>https://scifaro.com/en/abs/unite-the-best-of-both-worlds-unifying-function-fitting-and-aggregation-based-approaches-to-travel-time-and-travel-speed-estimation-2104.13321</loc><lastmod>2021-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unite-the-best-of-both-worlds-unifying-function-fitting-and-aggregation-based-approaches-to-travel-time-and-travel-speed-estimation-2104.13321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unite-the-best-of-both-worlds-unifying-function-fitting-and-aggregation-based-approaches-to-travel-time-and-travel-speed-estimation-2104.13321"/></url>
<url><loc>https://scifaro.com/en/abs/network-embedding-via-deep-prediction-model-2104.13323</loc><lastmod>2025-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-embedding-via-deep-prediction-model-2104.13323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-embedding-via-deep-prediction-model-2104.13323"/></url>
<url><loc>https://scifaro.com/en/abs/fast-distributionally-robust-learning-with-variance-reduced-min-max-optimization-2104.13326</loc><lastmod>2022-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-distributionally-robust-learning-with-variance-reduced-min-max-optimization-2104.13326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-distributionally-robust-learning-with-variance-reduced-min-max-optimization-2104.13326"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-video-to-speech-synthesis-using-generative-adversarial-networks-2104.13332</loc><lastmod>2022-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-video-to-speech-synthesis-using-generative-adversarial-networks-2104.13332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-video-to-speech-synthesis-using-generative-adversarial-networks-2104.13332"/></url>
<url><loc>https://scifaro.com/en/abs/sifting-out-the-features-by-pruning-are-convolutional-networks-the-winning-lottery-ticket-of-fully-connected-ones-2104.13343</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sifting-out-the-features-by-pruning-are-convolutional-networks-the-winning-lottery-ticket-of-fully-connected-ones-2104.13343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sifting-out-the-features-by-pruning-are-convolutional-networks-the-winning-lottery-ticket-of-fully-connected-ones-2104.13343"/></url>
<url><loc>https://scifaro.com/en/abs/deep-physical-neural-networks-enabled-by-a-backpropagation-algorithm-for-arbitrary-physical-systems-2104.13386</loc><lastmod>2022-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-physical-neural-networks-enabled-by-a-backpropagation-algorithm-for-arbitrary-physical-systems-2104.13386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-physical-neural-networks-enabled-by-a-backpropagation-algorithm-for-arbitrary-physical-systems-2104.13386"/></url>
<url><loc>https://scifaro.com/en/abs/traffic-signal-prediction-on-transportation-networks-using-spatio-temporal-correlations-on-graphs-2104.13414</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/traffic-signal-prediction-on-transportation-networks-using-spatio-temporal-correlations-on-graphs-2104.13414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/traffic-signal-prediction-on-transportation-networks-using-spatio-temporal-correlations-on-graphs-2104.13414"/></url>
<url><loc>https://scifaro.com/en/abs/policy-manifold-search-exploring-the-manifold-hypothesis-for-diversity-based-neuroevolution-2104.13424</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-manifold-search-exploring-the-manifold-hypothesis-for-diversity-based-neuroevolution-2104.13424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-manifold-search-exploring-the-manifold-hypothesis-for-diversity-based-neuroevolution-2104.13424"/></url>
<url><loc>https://scifaro.com/en/abs/semi-on-policy-training-for-sample-efficient-multi-agent-policy-gradients-2104.13446</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-on-policy-training-for-sample-efficient-multi-agent-policy-gradients-2104.13446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-on-policy-training-for-sample-efficient-multi-agent-policy-gradients-2104.13446"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-deep-learning-grids-groups-graphs-geodesics-and-gauges-2104.13478</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-deep-learning-grids-groups-graphs-geodesics-and-gauges-2104.13478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-deep-learning-grids-groups-graphs-geodesics-and-gauges-2104.13478"/></url>
<url><loc>https://scifaro.com/en/abs/improved-and-efficient-text-adversarial-attacks-using-target-information-2104.13484</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-and-efficient-text-adversarial-attacks-using-target-information-2104.13484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-and-efficient-text-adversarial-attacks-using-target-information-2104.13484"/></url>
<url><loc>https://scifaro.com/en/abs/text-generation-with-deep-variational-gan-2104.13488</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/text-generation-with-deep-variational-gan-2104.13488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/text-generation-with-deep-variational-gan-2104.13488"/></url>
<url><loc>https://scifaro.com/en/abs/an-energy-based-view-of-graph-neural-networks-2104.13492</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-energy-based-view-of-graph-neural-networks-2104.13492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-energy-based-view-of-graph-neural-networks-2104.13492"/></url>
<url><loc>https://scifaro.com/en/abs/learning-fair-canonical-polyadical-decompositions-using-a-kernel-independence-criterion-2104.13504</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-fair-canonical-polyadical-decompositions-using-a-kernel-independence-criterion-2104.13504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-fair-canonical-polyadical-decompositions-using-a-kernel-independence-criterion-2104.13504"/></url>
<url><loc>https://scifaro.com/en/abs/reconstructing-nodal-pressures-in-water-distribution-systems-with-graph-neural-networks-2104.13619</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconstructing-nodal-pressures-in-water-distribution-systems-with-graph-neural-networks-2104.13619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconstructing-nodal-pressures-in-water-distribution-systems-with-graph-neural-networks-2104.13619"/></url>
<url><loc>https://scifaro.com/en/abs/mldemon-deployment-monitoring-for-machine-learning-systems-2104.13621</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mldemon-deployment-monitoring-for-machine-learning-systems-2104.13621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mldemon-deployment-monitoring-for-machine-learning-systems-2104.13621"/></url>
<url><loc>https://scifaro.com/en/abs/risk-bounds-for-over-parameterized-maximum-margin-classification-on-sub-gaussian-mixtures-2104.13628</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-bounds-for-over-parameterized-maximum-margin-classification-on-sub-gaussian-mixtures-2104.13628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-bounds-for-over-parameterized-maximum-margin-classification-on-sub-gaussian-mixtures-2104.13628"/></url>
<url><loc>https://scifaro.com/en/abs/pytorch-tabular-a-framework-for-deep-learning-with-tabular-data-2104.13638</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pytorch-tabular-a-framework-for-deep-learning-with-tabular-data-2104.13638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pytorch-tabular-a-framework-for-deep-learning-with-tabular-data-2104.13638"/></url>
<url><loc>https://scifaro.com/en/abs/information-interaction-profile-of-choice-adoption-2104.13695</loc><lastmod>2022-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-interaction-profile-of-choice-adoption-2104.13695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-interaction-profile-of-choice-adoption-2104.13695"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-connecting-barlow-twins-with-negative-sample-free-contrastive-learning-2104.13712</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-connecting-barlow-twins-with-negative-sample-free-contrastive-learning-2104.13712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-connecting-barlow-twins-with-negative-sample-free-contrastive-learning-2104.13712"/></url>
<url><loc>https://scifaro.com/en/abs/graph-decoupling-attention-markov-networks-for-semi-supervised-graph-node-classification-2104.13718</loc><lastmod>2022-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-decoupling-attention-markov-networks-for-semi-supervised-graph-node-classification-2104.13718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-decoupling-attention-markov-networks-for-semi-supervised-graph-node-classification-2104.13718"/></url>
<url><loc>https://scifaro.com/en/abs/a-reinforcement-learning-environment-for-polyhedral-optimizations-2104.13732</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reinforcement-learning-environment-for-polyhedral-optimizations-2104.13732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reinforcement-learning-environment-for-polyhedral-optimizations-2104.13732"/></url>
<url><loc>https://scifaro.com/en/abs/sum-of-norms-clustering-does-not-separate-nearby-balls-2104.13753</loc><lastmod>2024-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sum-of-norms-clustering-does-not-separate-nearby-balls-2104.13753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sum-of-norms-clustering-does-not-separate-nearby-balls-2104.13753"/></url>
<url><loc>https://scifaro.com/en/abs/clpvg-circular-limited-penetrable-visibility-graph-as-a-new-network-model-for-time-series-2104.13772</loc><lastmod>2022-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clpvg-circular-limited-penetrable-visibility-graph-as-a-new-network-model-for-time-series-2104.13772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clpvg-circular-limited-penetrable-visibility-graph-as-a-new-network-model-for-time-series-2104.13772"/></url>
<url><loc>https://scifaro.com/en/abs/fastadabelief-improving-convergence-rate-for-belief-based-adaptive-optimizers-by-exploiting-strong-convexity-2104.13790</loc><lastmod>2022-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fastadabelief-improving-convergence-rate-for-belief-based-adaptive-optimizers-by-exploiting-strong-convexity-2104.13790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fastadabelief-improving-convergence-rate-for-belief-based-adaptive-optimizers-by-exploiting-strong-convexity-2104.13790"/></url>
<url><loc>https://scifaro.com/en/abs/finding-high-value-training-data-subset-through-differentiable-convex-programming-2104.13794</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-high-value-training-data-subset-through-differentiable-convex-programming-2104.13794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-high-value-training-data-subset-through-differentiable-convex-programming-2104.13794"/></url>
<url><loc>https://scifaro.com/en/abs/nuqsgd-provably-communication-efficient-data-parallel-sgd-via-nonuniform-quantization-2104.13818</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nuqsgd-provably-communication-efficient-data-parallel-sgd-via-nonuniform-quantization-2104.13818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nuqsgd-provably-communication-efficient-data-parallel-sgd-via-nonuniform-quantization-2104.13818"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-projected-bellman-error-for-off-policy-value-estimation-in-reinforcement-learning-2104.13844</loc><lastmod>2024-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-projected-bellman-error-for-off-policy-value-estimation-in-reinforcement-learning-2104.13844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-projected-bellman-error-for-off-policy-value-estimation-in-reinforcement-learning-2104.13844"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-autoregressive-models-for-hierarchical-data-2104.13853</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-autoregressive-models-for-hierarchical-data-2104.13853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-autoregressive-models-for-hierarchical-data-2104.13853"/></url>
<url><loc>https://scifaro.com/en/abs/autoregressive-dynamics-models-for-offline-policy-evaluation-and-optimization-2104.13877</loc><lastmod>2021-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoregressive-dynamics-models-for-offline-policy-evaluation-and-optimization-2104.13877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoregressive-dynamics-models-for-offline-policy-evaluation-and-optimization-2104.13877"/></url>
<url><loc>https://scifaro.com/en/abs/reward-mis-design-for-autonomous-driving-2104.13906</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reward-mis-design-for-autonomous-driving-2104.13906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reward-mis-design-for-autonomous-driving-2104.13906"/></url>
<url><loc>https://scifaro.com/en/abs/neural-ordinary-differential-equations-for-data-driven-reduced-order-modeling-of-environmental-hydrodynamics-2104.13962</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-ordinary-differential-equations-for-data-driven-reduced-order-modeling-of-environmental-hydrodynamics-2104.13962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-ordinary-differential-equations-for-data-driven-reduced-order-modeling-of-environmental-hydrodynamics-2104.13962"/></url>
<url><loc>https://scifaro.com/en/abs/tail-net-extracting-lowest-singular-triplets-for-big-data-applications-2104.13968</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tail-net-extracting-lowest-singular-triplets-for-big-data-applications-2104.13968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tail-net-extracting-lowest-singular-triplets-for-big-data-applications-2104.13968"/></url>
<url><loc>https://scifaro.com/en/abs/smlsom-the-shrinking-maximum-likelihood-self-organizing-map-2104.13971</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smlsom-the-shrinking-maximum-likelihood-self-organizing-map-2104.13971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smlsom-the-shrinking-maximum-likelihood-self-organizing-map-2104.13971"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-factors-influencing-bias-in-machine-learning-2104.14014</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-factors-influencing-bias-in-machine-learning-2104.14014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-factors-influencing-bias-in-machine-learning-2104.14014"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-legal-documents-via-non-negative-matrix-factorization-methods-2104.14028</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-legal-documents-via-non-negative-matrix-factorization-methods-2104.14028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-legal-documents-via-non-negative-matrix-factorization-methods-2104.14028"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-the-mathematics-of-deep-learning-2104.14033</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-the-mathematics-of-deep-learning-2104.14033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-the-mathematics-of-deep-learning-2104.14033"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-mode-decomposition-in-adaptive-mesh-refinement-and-coarsening-simulations-2104.14034</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-mode-decomposition-in-adaptive-mesh-refinement-and-coarsening-simulations-2104.14034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-mode-decomposition-in-adaptive-mesh-refinement-and-coarsening-simulations-2104.14034"/></url>
<url><loc>https://scifaro.com/en/abs/wgcn-graph-convolutional-networks-with-weighted-structural-features-2104.14060</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wgcn-graph-convolutional-networks-with-weighted-structural-features-2104.14060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wgcn-graph-convolutional-networks-with-weighted-structural-features-2104.14060"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-inference-with-m-estimators-on-adaptively-collected-data-2104.14074</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-inference-with-m-estimators-on-adaptively-collected-data-2104.14074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-inference-with-m-estimators-on-adaptively-collected-data-2104.14074"/></url>
<url><loc>https://scifaro.com/en/abs/feasibility-based-fixed-point-networks-2104.14090</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feasibility-based-fixed-point-networks-2104.14090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feasibility-based-fixed-point-networks-2104.14090"/></url>
<url><loc>https://scifaro.com/en/abs/fast-convex-quadratic-optimization-solvers-with-adaptive-sketching-based-preconditioners-2104.14101</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-convex-quadratic-optimization-solvers-with-adaptive-sketching-based-preconditioners-2104.14101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-convex-quadratic-optimization-solvers-with-adaptive-sketching-based-preconditioners-2104.14101"/></url>
<url><loc>https://scifaro.com/en/abs/regret-bounds-for-gaussian-process-optimization-in-large-domains-2104.14113</loc><lastmod>2022-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-bounds-for-gaussian-process-optimization-in-large-domains-2104.14113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-bounds-for-gaussian-process-optimization-in-large-domains-2104.14113"/></url>
<url><loc>https://scifaro.com/en/abs/real-negatives-matter-continuous-training-with-real-negatives-for-delayed-feedback-modeling-2104.14121</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-negatives-matter-continuous-training-with-real-negatives-for-delayed-feedback-modeling-2104.14121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-negatives-matter-continuous-training-with-real-negatives-for-delayed-feedback-modeling-2104.14121"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-scheme-based-on-graph-centrality-to-select-nodes-for-training-for-effective-learning-2104.14123</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-scheme-based-on-graph-centrality-to-select-nodes-for-training-for-effective-learning-2104.14123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-scheme-based-on-graph-centrality-to-select-nodes-for-training-for-effective-learning-2104.14123"/></url>
<url><loc>https://scifaro.com/en/abs/actnn-reducing-training-memory-footprint-via-2-bit-activation-compressed-training-2104.14129</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/actnn-reducing-training-memory-footprint-via-2-bit-activation-compressed-training-2104.14129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/actnn-reducing-training-memory-footprint-via-2-bit-activation-compressed-training-2104.14129"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-to-reward-progressivity-via-spectral-reinforcement-learning-2104.14138</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-to-reward-progressivity-via-spectral-reinforcement-learning-2104.14138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-to-reward-progressivity-via-spectral-reinforcement-learning-2104.14138"/></url>
<url><loc>https://scifaro.com/en/abs/fine-grained-generalization-analysis-of-vector-valued-learning-2104.14173</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fine-grained-generalization-analysis-of-vector-valued-learning-2104.14173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fine-grained-generalization-analysis-of-vector-valued-learning-2104.14173"/></url>
<url><loc>https://scifaro.com/en/abs/fairdrop-biased-edge-dropout-for-enhancing-fairness-in-graph-representation-learning-2104.14210</loc><lastmod>2022-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairdrop-biased-edge-dropout-for-enhancing-fairness-in-graph-representation-learning-2104.14210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairdrop-biased-edge-dropout-for-enhancing-fairness-in-graph-representation-learning-2104.14210"/></url>
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<url><loc>https://scifaro.com/en/abs/relearn-a-robust-machine-learning-framework-in-presence-of-missing-data-for-multimodal-stress-detection-from-physiological-signals-2104.14278</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relearn-a-robust-machine-learning-framework-in-presence-of-missing-data-for-multimodal-stress-detection-from-physiological-signals-2104.14278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relearn-a-robust-machine-learning-framework-in-presence-of-missing-data-for-multimodal-stress-detection-from-physiological-signals-2104.14278"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-using-privileged-information-for-dynamics-2104.14290</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-using-privileged-information-for-dynamics-2104.14290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-using-privileged-information-for-dynamics-2104.14290"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-rescoring-rules-with-interpretable-representations-of-long-term-information-2104.14291</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-rescoring-rules-with-interpretable-representations-of-long-term-information-2104.14291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-rescoring-rules-with-interpretable-representations-of-long-term-information-2104.14291"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-multi-task-learning-enhanced-physics-informed-neural-networks-for-solving-partial-differential-equations-2104.14320</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-multi-task-learning-enhanced-physics-informed-neural-networks-for-solving-partial-differential-equations-2104.14320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-multi-task-learning-enhanced-physics-informed-neural-networks-for-solving-partial-differential-equations-2104.14320"/></url>
<url><loc>https://scifaro.com/en/abs/hypernetwork-dismantling-via-deep-reinforcement-learning-2104.14332</loc><lastmod>2022-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypernetwork-dismantling-via-deep-reinforcement-learning-2104.14332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypernetwork-dismantling-via-deep-reinforcement-learning-2104.14332"/></url>
<url><loc>https://scifaro.com/en/abs/graph-embedded-subspace-support-vector-data-description-2104.14370</loc><lastmod>2023-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-embedded-subspace-support-vector-data-description-2104.14370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-embedded-subspace-support-vector-data-description-2104.14370"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-anisotropic-view-of-underspecification-in-deep-learning-2104.14372</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-anisotropic-view-of-underspecification-in-deep-learning-2104.14372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-anisotropic-view-of-underspecification-in-deep-learning-2104.14372"/></url>
<url><loc>https://scifaro.com/en/abs/learning-robust-variational-information-bottleneck-with-reference-2104.14379</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-robust-variational-information-bottleneck-with-reference-2104.14379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-robust-variational-information-bottleneck-with-reference-2104.14379"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-federated-learning-on-partitioned-attributes-2104.14383</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-federated-learning-on-partitioned-attributes-2104.14383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-federated-learning-on-partitioned-attributes-2104.14383"/></url>
<url><loc>https://scifaro.com/en/abs/pre-training-of-deep-rl-agents-for-improved-learning-under-domain-randomization-2104.14386</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pre-training-of-deep-rl-agents-for-improved-learning-under-domain-randomization-2104.14386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pre-training-of-deep-rl-agents-for-improved-learning-under-domain-randomization-2104.14386"/></url>
<url><loc>https://scifaro.com/en/abs/implementing-reinforcement-learning-algorithms-in-retail-supply-chains-with-openai-gym-toolkit-2104.14398</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implementing-reinforcement-learning-algorithms-in-retail-supply-chains-with-openai-gym-toolkit-2104.14398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implementing-reinforcement-learning-algorithms-in-retail-supply-chains-with-openai-gym-toolkit-2104.14398"/></url>
<url><loc>https://scifaro.com/en/abs/do-feature-attribution-methods-correctly-attribute-features-2104.14403</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-feature-attribution-methods-correctly-attribute-features-2104.14403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-feature-attribution-methods-correctly-attribute-features-2104.14403"/></url>
<url><loc>https://scifaro.com/en/abs/dynamical-prediction-of-two-meteorological-factors-using-the-deep-neural-network-and-the-long-short-term-memory-2-2104.14406</loc><lastmod>2022-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamical-prediction-of-two-meteorological-factors-using-the-deep-neural-network-and-the-long-short-term-memory-2-2104.14406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamical-prediction-of-two-meteorological-factors-using-the-deep-neural-network-and-the-long-short-term-memory-2-2104.14406"/></url>
<url><loc>https://scifaro.com/en/abs/what-are-bayesian-neural-network-posteriors-really-like-2104.14421</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-are-bayesian-neural-network-posteriors-really-like-2104.14421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-are-bayesian-neural-network-posteriors-really-like-2104.14421"/></url>
<url><loc>https://scifaro.com/en/abs/customizable-reference-runtime-monitoring-of-neural-networks-using-resolution-boxes-2104.14435</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/customizable-reference-runtime-monitoring-of-neural-networks-using-resolution-boxes-2104.14435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/customizable-reference-runtime-monitoring-of-neural-networks-using-resolution-boxes-2104.14435"/></url>
<url><loc>https://scifaro.com/en/abs/improving-simulations-with-symmetry-control-neural-networks-2104.14444</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-simulations-with-symmetry-control-neural-networks-2104.14444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-simulations-with-symmetry-control-neural-networks-2104.14444"/></url>
<url><loc>https://scifaro.com/en/abs/an-axiomatic-theory-of-provably-fair-welfare-centric-machine-learning-2104.14504</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-axiomatic-theory-of-provably-fair-welfare-centric-machine-learning-2104.14504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-axiomatic-theory-of-provably-fair-welfare-centric-machine-learning-2104.14504"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-ai-for-covid-19-ct-classifiers-an-initial-comparison-study-2104.14506</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-ai-for-covid-19-ct-classifiers-an-initial-comparison-study-2104.14506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-ai-for-covid-19-ct-classifiers-an-initial-comparison-study-2104.14506"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-and-scalability-provable-nonconvex-low-rank-tensor-estimation-from-incomplete-measurements-2104.14526</loc><lastmod>2022-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-and-scalability-provable-nonconvex-low-rank-tensor-estimation-from-incomplete-measurements-2104.14526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-and-scalability-provable-nonconvex-low-rank-tensor-estimation-from-incomplete-measurements-2104.14526"/></url>
<url><loc>https://scifaro.com/en/abs/online-certification-of-preference-based-fairness-for-personalized-recommender-systems-2104.14527</loc><lastmod>2023-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-certification-of-preference-based-fairness-for-personalized-recommender-systems-2104.14527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-certification-of-preference-based-fairness-for-personalized-recommender-systems-2104.14527"/></url>
<url><loc>https://scifaro.com/en/abs/towards-fair-classifiers-without-sensitive-attributes-exploring-biases-in-related-features-2104.14537</loc><lastmod>2021-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-fair-classifiers-without-sensitive-attributes-exploring-biases-in-related-features-2104.14537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-fair-classifiers-without-sensitive-attributes-exploring-biases-in-related-features-2104.14537"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-multigrid-neural-solvers-on-megavoxel-domains-2104.14538</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-multigrid-neural-solvers-on-megavoxel-domains-2104.14538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-multigrid-neural-solvers-on-megavoxel-domains-2104.14538"/></url>
<url><loc>https://scifaro.com/en/abs/nurbs-diff-a-differentiable-programming-module-for-nurbs-2104.14547</loc><lastmod>2022-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nurbs-diff-a-differentiable-programming-module-for-nurbs-2104.14547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nurbs-diff-a-differentiable-programming-module-for-nurbs-2104.14547"/></url>
<url><loc>https://scifaro.com/en/abs/medium-access-using-distributed-reinforcement-learning-for-iots-with-low-complexity-wireless-transceivers-2104.14549</loc><lastmod>2021-04-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/medium-access-using-distributed-reinforcement-learning-for-iots-with-low-complexity-wireless-transceivers-2104.14549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/medium-access-using-distributed-reinforcement-learning-for-iots-with-low-complexity-wireless-transceivers-2104.14549"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-feedforward-neural-networks-accelerated-by-transfer-entropy-2104.14616</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-feedforward-neural-networks-accelerated-by-transfer-entropy-2104.14616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-feedforward-neural-networks-accelerated-by-transfer-entropy-2104.14616"/></url>
<url><loc>https://scifaro.com/en/abs/the-logic-of-graph-neural-networks-2104.14624</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-logic-of-graph-neural-networks-2104.14624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-logic-of-graph-neural-networks-2104.14624"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-driven-graph-federated-learning-over-multiple-domains-2104.14628</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-driven-graph-federated-learning-over-multiple-domains-2104.14628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-driven-graph-federated-learning-over-multiple-domains-2104.14628"/></url>
<url><loc>https://scifaro.com/en/abs/what-is-going-on-inside-recurrent-meta-reinforcement-learning-agents-2104.14644</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-is-going-on-inside-recurrent-meta-reinforcement-learning-agents-2104.14644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-is-going-on-inside-recurrent-meta-reinforcement-learning-agents-2104.14644"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-inverse-reinforcement-learning-for-mean-field-games-2104.14654</loc><lastmod>2025-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-inverse-reinforcement-learning-for-mean-field-games-2104.14654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-inverse-reinforcement-learning-for-mean-field-games-2104.14654"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-predictions-of-extreme-hydrologic-events-in-the-wabash-river-watershed-2104.14658</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-predictions-of-extreme-hydrologic-events-in-the-wabash-river-watershed-2104.14658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-predictions-of-extreme-hydrologic-events-in-the-wabash-river-watershed-2104.14658"/></url>
<url><loc>https://scifaro.com/en/abs/using-meta-reinforcement-learning-to-bridge-the-gap-between-simulation-and-experiment-in-energy-demand-response-2104.14670</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-meta-reinforcement-learning-to-bridge-the-gap-between-simulation-and-experiment-in-energy-demand-response-2104.14670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-meta-reinforcement-learning-to-bridge-the-gap-between-simulation-and-experiment-in-energy-demand-response-2104.14670"/></url>
<url><loc>https://scifaro.com/en/abs/analytical-bounds-on-the-local-lipschitz-constants-of-relu-networks-2104.14672</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analytical-bounds-on-the-local-lipschitz-constants-of-relu-networks-2104.14672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analytical-bounds-on-the-local-lipschitz-constants-of-relu-networks-2104.14672"/></url>
<url><loc>https://scifaro.com/en/abs/search-algorithms-for-automated-hyper-parameter-tuning-2104.14677</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/search-algorithms-for-automated-hyper-parameter-tuning-2104.14677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/search-algorithms-for-automated-hyper-parameter-tuning-2104.14677"/></url>
<url><loc>https://scifaro.com/en/abs/eliminating-multicollinearity-issues-in-neural-network-ensembles-incremental-negatively-correlated-optimal-convex-blending-2104.14715</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eliminating-multicollinearity-issues-in-neural-network-ensembles-incremental-negatively-correlated-optimal-convex-blending-2104.14715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eliminating-multicollinearity-issues-in-neural-network-ensembles-incremental-negatively-correlated-optimal-convex-blending-2104.14715"/></url>
<url><loc>https://scifaro.com/en/abs/flattening-multiparameter-hierarchical-clustering-functors-2104.14734</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flattening-multiparameter-hierarchical-clustering-functors-2104.14734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flattening-multiparameter-hierarchical-clustering-functors-2104.14734"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-intraoperative-hypoxemia-with-hybrid-inference-sequence-autoencoder-networks-2104.14756</loc><lastmod>2022-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-intraoperative-hypoxemia-with-hybrid-inference-sequence-autoencoder-networks-2104.14756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-intraoperative-hypoxemia-with-hybrid-inference-sequence-autoencoder-networks-2104.14756"/></url>
<url><loc>https://scifaro.com/en/abs/a-user-guided-bayesian-framework-for-ensemble-feature-selection-in-life-science-applications-ubayfs-2104.14787</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-user-guided-bayesian-framework-for-ensemble-feature-selection-in-life-science-applications-ubayfs-2104.14787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-user-guided-bayesian-framework-for-ensemble-feature-selection-in-life-science-applications-ubayfs-2104.14787"/></url>
<url><loc>https://scifaro.com/en/abs/active-weasul-improving-weak-supervision-with-active-learning-2104.14847</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-weasul-improving-weak-supervision-with-active-learning-2104.14847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-weasul-improving-weak-supervision-with-active-learning-2104.14847"/></url>
<url><loc>https://scifaro.com/en/abs/forming-ensembles-at-runtime-a-machine-learning-approach-2104.14848</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forming-ensembles-at-runtime-a-machine-learning-approach-2104.14848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forming-ensembles-at-runtime-a-machine-learning-approach-2104.14848"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-time-mean-field-control-with-environment-states-2104.14900</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-time-mean-field-control-with-environment-states-2104.14900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-time-mean-field-control-with-environment-states-2104.14900"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-graph-convolutional-recurrent-network-for-traffic-prediction-benchmark-and-solution-2104.14917</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-graph-convolutional-recurrent-network-for-traffic-prediction-benchmark-and-solution-2104.14917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-graph-convolutional-recurrent-network-for-traffic-prediction-benchmark-and-solution-2104.14917"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-autoregressive-tensor-completion-for-spatiotemporal-traffic-data-imputation-2104.14936</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-autoregressive-tensor-completion-for-spatiotemporal-traffic-data-imputation-2104.14936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-autoregressive-tensor-completion-for-spatiotemporal-traffic-data-imputation-2104.14936"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-fair-averaging-2104.14937</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-fair-averaging-2104.14937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-fair-averaging-2104.14937"/></url>
<url><loc>https://scifaro.com/en/abs/pseudo-interactive-pattern-search-in-multivariate-time-series-with-locality-sensitive-hashing-and-relevance-feedback-2104.14962</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pseudo-interactive-pattern-search-in-multivariate-time-series-with-locality-sensitive-hashing-and-relevance-feedback-2104.14962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pseudo-interactive-pattern-search-in-multivariate-time-series-with-locality-sensitive-hashing-and-relevance-feedback-2104.14962"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-based-system-for-vessel-turnaround-time-prediction-2104.14980</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-based-system-for-vessel-turnaround-time-prediction-2104.14980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-based-system-for-vessel-turnaround-time-prediction-2104.14980"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-forecasting-of-new-cases-and-new-deaths-rate-for-covid-19-using-deep-learning-methods-2104.15007</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-forecasting-of-new-cases-and-new-deaths-rate-for-covid-19-using-deep-learning-methods-2104.15007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-forecasting-of-new-cases-and-new-deaths-rate-for-covid-19-using-deep-learning-methods-2104.15007"/></url>
<url><loc>https://scifaro.com/en/abs/degenerate-gaussian-factors-for-probabilistic-inference-2104.15010</loc><lastmod>2022-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/degenerate-gaussian-factors-for-probabilistic-inference-2104.15010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/degenerate-gaussian-factors-for-probabilistic-inference-2104.15010"/></url>
<url><loc>https://scifaro.com/en/abs/divide-and-conquer-based-large-scale-spectral-clustering-2104.15042</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/divide-and-conquer-based-large-scale-spectral-clustering-2104.15042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/divide-and-conquer-based-large-scale-spectral-clustering-2104.15042"/></url>
<url><loc>https://scifaro.com/en/abs/dram-failure-prediction-in-aiops-empirical-evaluation-challenges-and-opportunities-2104.15052</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dram-failure-prediction-in-aiops-empirical-evaluation-challenges-and-opportunities-2104.15052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dram-failure-prediction-in-aiops-empirical-evaluation-challenges-and-opportunities-2104.15052"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-gradient-attack-on-graph-neural-networks-deeper-insights-in-graph-based-attack-and-defense-2104.15061</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-gradient-attack-on-graph-neural-networks-deeper-insights-in-graph-based-attack-and-defense-2104.15061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-gradient-attack-on-graph-neural-networks-deeper-insights-in-graph-based-attack-and-defense-2104.15061"/></url>
<url><loc>https://scifaro.com/en/abs/learning-linear-temporal-properties-from-noisy-data-a-maxsat-approach-2104.15083</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-linear-temporal-properties-from-noisy-data-a-maxsat-approach-2104.15083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-linear-temporal-properties-from-noisy-data-a-maxsat-approach-2104.15083"/></url>
<url><loc>https://scifaro.com/en/abs/faster-meta-update-strategy-for-noise-robust-deep-learning-2104.15092</loc><lastmod>2021-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-meta-update-strategy-for-noise-robust-deep-learning-2104.15092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-meta-update-strategy-for-noise-robust-deep-learning-2104.15092"/></url>
<url><loc>https://scifaro.com/en/abs/latent-factor-decomposition-model-applications-for-questionnaire-data-2104.15106</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-factor-decomposition-model-applications-for-questionnaire-data-2104.15106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-factor-decomposition-model-applications-for-questionnaire-data-2104.15106"/></url>
<url><loc>https://scifaro.com/en/abs/submodular-mutual-information-for-targeted-data-subset-selection-2105.00043</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/submodular-mutual-information-for-targeted-data-subset-selection-2105.00043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/submodular-mutual-information-for-targeted-data-subset-selection-2105.00043"/></url>
<url><loc>https://scifaro.com/en/abs/positnn-training-deep-neural-networks-with-mixed-low-precision-posit-2105.00053</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/positnn-training-deep-neural-networks-with-mixed-low-precision-posit-2105.00053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/positnn-training-deep-neural-networks-with-mixed-low-precision-posit-2105.00053"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-full-waveform-inversion-surrogate-using-conditional-generative-adversarial-networks-2105.00100</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-full-waveform-inversion-surrogate-using-conditional-generative-adversarial-networks-2105.00100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-full-waveform-inversion-surrogate-using-conditional-generative-adversarial-networks-2105.00100"/></url>
<url><loc>https://scifaro.com/en/abs/distilling-eeg-representations-via-capsules-for-affective-computing-2105.00104</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilling-eeg-representations-via-capsules-for-affective-computing-2105.00104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilling-eeg-representations-via-capsules-for-affective-computing-2105.00104"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-a-series-of-models-by-propagating-shapley-values-2105.00108</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-a-series-of-models-by-propagating-shapley-values-2105.00108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-a-series-of-models-by-propagating-shapley-values-2105.00108"/></url>
<url><loc>https://scifaro.com/en/abs/bermuda-triangles-gnns-fail-to-detect-simple-topological-structures-2105.00134</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bermuda-triangles-gnns-fail-to-detect-simple-topological-structures-2105.00134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bermuda-triangles-gnns-fail-to-detect-simple-topological-structures-2105.00134"/></url>
<url><loc>https://scifaro.com/en/abs/deep-convolution-for-irregularly-sampled-temporal-point-clouds-2105.00137</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-convolution-for-irregularly-sampled-temporal-point-clouds-2105.00137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-convolution-for-irregularly-sampled-temporal-point-clouds-2105.00137"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-mutual-information-gradient-estimation-for-dimensionality-reduction-networks-2105.00191</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-mutual-information-gradient-estimation-for-dimensionality-reduction-networks-2105.00191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-mutual-information-gradient-estimation-for-dimensionality-reduction-networks-2105.00191"/></url>
<url><loc>https://scifaro.com/en/abs/deep-insights-of-deepfake-technology-a-review-2105.00192</loc><lastmod>2023-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-insights-of-deepfake-technology-a-review-2105.00192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-insights-of-deepfake-technology-a-review-2105.00192"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-learning-for-acoustic-identification-of-bird-species-in-non-stationary-environments-2105.00202</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-learning-for-acoustic-identification-of-bird-species-in-non-stationary-environments-2105.00202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-learning-for-acoustic-identification-of-bird-species-in-non-stationary-environments-2105.00202"/></url>
<url><loc>https://scifaro.com/en/abs/better-than-the-best-gradient-based-improper-reinforcement-learning-for-network-scheduling-2105.00210</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-than-the-best-gradient-based-improper-reinforcement-learning-for-network-scheduling-2105.00210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-than-the-best-gradient-based-improper-reinforcement-learning-for-network-scheduling-2105.00210"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-networks-via-a-composite-annealing-of-noise-and-diffusion-2105.00220</loc><lastmod>2022-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-networks-via-a-composite-annealing-of-noise-and-diffusion-2105.00220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-networks-via-a-composite-annealing-of-noise-and-diffusion-2105.00220"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-adversarial-robustness-of-quantized-neural-networks-2105.00227</loc><lastmod>2022-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-adversarial-robustness-of-quantized-neural-networks-2105.00227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-adversarial-robustness-of-quantized-neural-networks-2105.00227"/></url>
<url><loc>https://scifaro.com/en/abs/fedproto-federated-prototype-learning-across-heterogeneous-clients-2105.00243</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedproto-federated-prototype-learning-across-heterogeneous-clients-2105.00243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedproto-federated-prototype-learning-across-heterogeneous-clients-2105.00243"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-clustering-with-deep-matrix-factorization-and-global-graph-refinement-2105.00248</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-clustering-with-deep-matrix-factorization-and-global-graph-refinement-2105.00248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-clustering-with-deep-matrix-factorization-and-global-graph-refinement-2105.00248"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-transformer-and-lstm-to-kalman-filter-with-em-algorithm-for-state-estimation-2105.00250</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-transformer-and-lstm-to-kalman-filter-with-em-algorithm-for-state-estimation-2105.00250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-transformer-and-lstm-to-kalman-filter-with-em-algorithm-for-state-estimation-2105.00250"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-discovery-of-green-s-functions-with-human-understandable-deep-learning-2105.00266</loc><lastmod>2022-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-discovery-of-green-s-functions-with-human-understandable-deep-learning-2105.00266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-discovery-of-green-s-functions-with-human-understandable-deep-learning-2105.00266"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-clustering-via-deep-matrix-factorization-and-partition-alignment-2105.00277</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-clustering-via-deep-matrix-factorization-and-partition-alignment-2105.00277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-clustering-via-deep-matrix-factorization-and-partition-alignment-2105.00277"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-opportunistic-meta-knowledge-to-reduce-search-spaces-for-automated-machine-learning-2105.00282</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-opportunistic-meta-knowledge-to-reduce-search-spaces-for-automated-machine-learning-2105.00282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-opportunistic-meta-knowledge-to-reduce-search-spaces-for-automated-machine-learning-2105.00282"/></url>
<url><loc>https://scifaro.com/en/abs/non-asymptotic-excess-risk-bounds-for-classification-with-deep-convolutional-neural-networks-2105.00292</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-asymptotic-excess-risk-bounds-for-classification-with-deep-convolutional-neural-networks-2105.00292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-asymptotic-excess-risk-bounds-for-classification-with-deep-convolutional-neural-networks-2105.00292"/></url>
<url><loc>https://scifaro.com/en/abs/ratt-leveraging-unlabeled-data-to-guarantee-generalization-2105.00303</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ratt-leveraging-unlabeled-data-to-guarantee-generalization-2105.00303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ratt-leveraging-unlabeled-data-to-guarantee-generalization-2105.00303"/></url>
<url><loc>https://scifaro.com/en/abs/online-fashion-commerce-modelling-customer-promise-date-2105.00315</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-fashion-commerce-modelling-customer-promise-date-2105.00315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-fashion-commerce-modelling-customer-promise-date-2105.00315"/></url>
<url><loc>https://scifaro.com/en/abs/neko-a-library-for-exploring-neuromorphic-learning-rules-2105.00324</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neko-a-library-for-exploring-neuromorphic-learning-rules-2105.00324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neko-a-library-for-exploring-neuromorphic-learning-rules-2105.00324"/></url>
<url><loc>https://scifaro.com/en/abs/ai-enabled-efficient-and-safe-food-supply-chain-2105.00333</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ai-enabled-efficient-and-safe-food-supply-chain-2105.00333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ai-enabled-efficient-and-safe-food-supply-chain-2105.00333"/></url>
<url><loc>https://scifaro.com/en/abs/comprehensive-review-on-twin-support-vector-machines-2105.00336</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comprehensive-review-on-twin-support-vector-machines-2105.00336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comprehensive-review-on-twin-support-vector-machines-2105.00336"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-block-admm-for-training-deep-networks-2105.00339</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-block-admm-for-training-deep-networks-2105.00339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-block-admm-for-training-deep-networks-2105.00339"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-electrical-power-output-of-industrial-devices-with-end-to-end-time-series-classification-in-the-presence-of-label-noise-2105.00349</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-electrical-power-output-of-industrial-devices-with-end-to-end-time-series-classification-in-the-presence-of-label-noise-2105.00349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-electrical-power-output-of-industrial-devices-with-end-to-end-time-series-classification-in-the-presence-of-label-noise-2105.00349"/></url>
<url><loc>https://scifaro.com/en/abs/rotlstm-rotating-memories-in-recurrent-neural-networks-2105.00357</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rotlstm-rotating-memories-in-recurrent-neural-networks-2105.00357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rotlstm-rotating-memories-in-recurrent-neural-networks-2105.00357"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-diverse-athletic-jumping-strategies-2105.00371</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-diverse-athletic-jumping-strategies-2105.00371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-diverse-athletic-jumping-strategies-2105.00371"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-bus-bunching-with-asynchronous-multi-agent-reinforcement-learning-2105.00376</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-bus-bunching-with-asynchronous-multi-agent-reinforcement-learning-2105.00376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-bus-bunching-with-asynchronous-multi-agent-reinforcement-learning-2105.00376"/></url>
<url><loc>https://scifaro.com/en/abs/or-net-pointwise-relational-inference-for-data-completion-under-partial-observation-2105.00397</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/or-net-pointwise-relational-inference-for-data-completion-under-partial-observation-2105.00397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/or-net-pointwise-relational-inference-for-data-completion-under-partial-observation-2105.00397"/></url>
<url><loc>https://scifaro.com/en/abs/te-esn-time-encoding-echo-state-network-for-prediction-based-on-irregularly-sampled-time-series-data-2105.00412</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/te-esn-time-encoding-echo-state-network-for-prediction-based-on-irregularly-sampled-time-series-data-2105.00412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/te-esn-time-encoding-echo-state-network-for-prediction-based-on-irregularly-sampled-time-series-data-2105.00412"/></url>
<url><loc>https://scifaro.com/en/abs/who-s-afraid-of-adversarial-transferability-2105.00433</loc><lastmod>2022-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/who-s-afraid-of-adversarial-transferability-2105.00433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/who-s-afraid-of-adversarial-transferability-2105.00433"/></url>
<url><loc>https://scifaro.com/en/abs/on-feature-decorrelation-in-self-supervised-learning-2105.00470</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-feature-decorrelation-in-self-supervised-learning-2105.00470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-feature-decorrelation-in-self-supervised-learning-2105.00470"/></url>
<url><loc>https://scifaro.com/en/abs/baard-blocking-adversarial-examples-by-testing-for-applicability-reliability-and-decidability-2105.00495</loc><lastmod>2023-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/baard-blocking-adversarial-examples-by-testing-for-applicability-reliability-and-decidability-2105.00495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/baard-blocking-adversarial-examples-by-testing-for-applicability-reliability-and-decidability-2105.00495"/></url>
<url><loc>https://scifaro.com/en/abs/universal-scaling-laws-in-the-gradient-descent-training-of-neural-networks-2105.00507</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-scaling-laws-in-the-gradient-descent-training-of-neural-networks-2105.00507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-scaling-laws-in-the-gradient-descent-training-of-neural-networks-2105.00507"/></url>
<url><loc>https://scifaro.com/en/abs/a-1d-cnn-based-deep-learning-technique-for-sleep-apnea-detection-in-iot-sensors-2105.00528</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-1d-cnn-based-deep-learning-technique-for-sleep-apnea-detection-in-iot-sensors-2105.00528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-1d-cnn-based-deep-learning-technique-for-sleep-apnea-detection-in-iot-sensors-2105.00528"/></url>
<url><loc>https://scifaro.com/en/abs/grnn-generative-regression-neural-network-a-data-leakage-attack-for-federated-learning-2105.00529</loc><lastmod>2022-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grnn-generative-regression-neural-network-a-data-leakage-attack-for-federated-learning-2105.00529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grnn-generative-regression-neural-network-a-data-leakage-attack-for-federated-learning-2105.00529"/></url>
<url><loc>https://scifaro.com/en/abs/hard-encoding-of-physics-for-learning-spatiotemporal-dynamics-2105.00557</loc><lastmod>2023-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hard-encoding-of-physics-for-learning-spatiotemporal-dynamics-2105.00557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hard-encoding-of-physics-for-learning-spatiotemporal-dynamics-2105.00557"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-federated-learning-by-structured-and-unstructured-pruning-under-data-heterogeneity-2105.00562</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-federated-learning-by-structured-and-unstructured-pruning-under-data-heterogeneity-2105.00562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-federated-learning-by-structured-and-unstructured-pruning-under-data-heterogeneity-2105.00562"/></url>
<url><loc>https://scifaro.com/en/abs/infernet-for-delayed-reinforcement-tasks-addressing-the-temporal-credit-assignment-problem-2105.00568</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infernet-for-delayed-reinforcement-tasks-addressing-the-temporal-credit-assignment-problem-2105.00568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infernet-for-delayed-reinforcement-tasks-addressing-the-temporal-credit-assignment-problem-2105.00568"/></url>
<url><loc>https://scifaro.com/en/abs/an-end-to-end-and-accurate-ppg-based-respiratory-rate-estimation-approach-using-cycle-generative-adversarial-networks-2105.00594</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-end-to-end-and-accurate-ppg-based-respiratory-rate-estimation-approach-using-cycle-generative-adversarial-networks-2105.00594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-end-to-end-and-accurate-ppg-based-respiratory-rate-estimation-approach-using-cycle-generative-adversarial-networks-2105.00594"/></url>
<url><loc>https://scifaro.com/en/abs/octopus-overcoming-performance-andprivatization-bottlenecks-in-distributed-learning-2105.00602</loc><lastmod>2022-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/octopus-overcoming-performance-andprivatization-bottlenecks-in-distributed-learning-2105.00602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/octopus-overcoming-performance-andprivatization-bottlenecks-in-distributed-learning-2105.00602"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-and-monotonicity-regularization-for-neural-knowledge-tracing-2105.00607</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-and-monotonicity-regularization-for-neural-knowledge-tracing-2105.00607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-and-monotonicity-regularization-for-neural-knowledge-tracing-2105.00607"/></url>
<url><loc>https://scifaro.com/en/abs/optorch-optimized-deep-learning-architectures-for-resource-limited-environments-2105.00619</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optorch-optimized-deep-learning-architectures-for-resource-limited-environments-2105.00619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optorch-optimized-deep-learning-architectures-for-resource-limited-environments-2105.00619"/></url>
<url><loc>https://scifaro.com/en/abs/county-aggregation-mixup-augmentation-courage-covid-19-prediction-2105.00620</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/county-aggregation-mixup-augmentation-courage-covid-19-prediction-2105.00620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/county-aggregation-mixup-augmentation-courage-covid-19-prediction-2105.00620"/></url>
<url><loc>https://scifaro.com/en/abs/schema-aware-deep-graph-convolutional-networks-for-heterogeneous-graphs-2105.00644</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/schema-aware-deep-graph-convolutional-networks-for-heterogeneous-graphs-2105.00644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/schema-aware-deep-graph-convolutional-networks-for-heterogeneous-graphs-2105.00644"/></url>
<url><loc>https://scifaro.com/en/abs/learning-by-design-structuring-and-documenting-the-human-choices-in-machine-learning-development-2105.00687</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-by-design-structuring-and-documenting-the-human-choices-in-machine-learning-development-2105.00687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-by-design-structuring-and-documenting-the-human-choices-in-machine-learning-development-2105.00687"/></url>
<url><loc>https://scifaro.com/en/abs/resvgae-going-deeper-with-residual-modules-for-link-prediction-2105.00695</loc><lastmod>2022-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resvgae-going-deeper-with-residual-modules-for-link-prediction-2105.00695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resvgae-going-deeper-with-residual-modules-for-link-prediction-2105.00695"/></url>
<url><loc>https://scifaro.com/en/abs/graph-learning-a-survey-2105.00696</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-learning-a-survey-2105.00696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-learning-a-survey-2105.00696"/></url>
<url><loc>https://scifaro.com/en/abs/causality-based-counterfactual-explanation-for-classification-models-2105.00703</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causality-based-counterfactual-explanation-for-classification-models-2105.00703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causality-based-counterfactual-explanation-for-classification-models-2105.00703"/></url>
<url><loc>https://scifaro.com/en/abs/action-candidate-based-clipped-double-q-learning-for-discrete-and-continuous-action-tasks-2105.00704</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/action-candidate-based-clipped-double-q-learning-for-discrete-and-continuous-action-tasks-2105.00704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/action-candidate-based-clipped-double-q-learning-for-discrete-and-continuous-action-tasks-2105.00704"/></url>
<url><loc>https://scifaro.com/en/abs/retcl-a-selection-based-approach-for-retrosynthesis-via-contrastive-learning-2105.00795</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/retcl-a-selection-based-approach-for-retrosynthesis-via-contrastive-learning-2105.00795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/retcl-a-selection-based-approach-for-retrosynthesis-via-contrastive-learning-2105.00795"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-reward-learning-for-generalized-behavior-tendency-inference-2105.00822</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-reward-learning-for-generalized-behavior-tendency-inference-2105.00822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-reward-learning-for-generalized-behavior-tendency-inference-2105.00822"/></url>
<url><loc>https://scifaro.com/en/abs/emotional-contagion-aware-deep-reinforcement-learning-for-antagonistic-crowd-simulation-2105.00854</loc><lastmod>2022-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emotional-contagion-aware-deep-reinforcement-learning-for-antagonistic-crowd-simulation-2105.00854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emotional-contagion-aware-deep-reinforcement-learning-for-antagonistic-crowd-simulation-2105.00854"/></url>
<url><loc>https://scifaro.com/en/abs/data-vs-physics-the-apparent-pareto-front-of-physics-informed-neural-networks-2105.00862</loc><lastmod>2024-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-vs-physics-the-apparent-pareto-front-of-physics-informed-neural-networks-2105.00862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-vs-physics-the-apparent-pareto-front-of-physics-informed-neural-networks-2105.00862"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-of-flight-service-process-based-on-event-sequence-2105.00866</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-of-flight-service-process-based-on-event-sequence-2105.00866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-of-flight-service-process-based-on-event-sequence-2105.00866"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-analysis-and-system-design-for-federated-learning-over-wireless-networks-2105.00872</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-analysis-and-system-design-for-federated-learning-over-wireless-networks-2105.00872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-analysis-and-system-design-for-federated-learning-over-wireless-networks-2105.00872"/></url>
<url><loc>https://scifaro.com/en/abs/rl-iot-reinforcement-learning-to-interact-with-iot-devices-2105.00884</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rl-iot-reinforcement-learning-to-interact-with-iot-devices-2105.00884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rl-iot-reinforcement-learning-to-interact-with-iot-devices-2105.00884"/></url>
<url><loc>https://scifaro.com/en/abs/how-bayesian-should-bayesian-optimisation-be-2105.00894</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-bayesian-should-bayesian-optimisation-be-2105.00894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-bayesian-should-bayesian-optimisation-be-2105.00894"/></url>
<url><loc>https://scifaro.com/en/abs/fully-learnable-deep-wavelet-transform-for-unsupervised-monitoring-of-high-frequency-time-series-2105.00899</loc><lastmod>2022-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-learnable-deep-wavelet-transform-for-unsupervised-monitoring-of-high-frequency-time-series-2105.00899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-learnable-deep-wavelet-transform-for-unsupervised-monitoring-of-high-frequency-time-series-2105.00899"/></url>
<url><loc>https://scifaro.com/en/abs/hyperspherically-regularized-networks-for-self-supervision-2105.00925</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperspherically-regularized-networks-for-self-supervision-2105.00925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperspherically-regularized-networks-for-self-supervision-2105.00925"/></url>
<url><loc>https://scifaro.com/en/abs/lfi-cam-learning-feature-importance-for-better-visual-explanation-2105.00937</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lfi-cam-learning-feature-importance-for-better-visual-explanation-2105.00937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lfi-cam-learning-feature-importance-for-better-visual-explanation-2105.00937"/></url>
<url><loc>https://scifaro.com/en/abs/unignn-a-unified-framework-for-graph-and-hypergraph-neural-networks-2105.00956</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unignn-a-unified-framework-for-graph-and-hypergraph-neural-networks-2105.00956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unignn-a-unified-framework-for-graph-and-hypergraph-neural-networks-2105.00956"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-reinforcement-learning-for-air-to-air-combat-2105.00990</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-for-air-to-air-combat-2105.00990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-for-air-to-air-combat-2105.00990"/></url>
<url><loc>https://scifaro.com/en/abs/robust-learning-of-recurrent-neural-networks-in-presence-of-exogenous-noise-2105.00996</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-learning-of-recurrent-neural-networks-in-presence-of-exogenous-noise-2105.00996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-learning-of-recurrent-neural-networks-in-presence-of-exogenous-noise-2105.00996"/></url>
<url><loc>https://scifaro.com/en/abs/bag-of-baselines-for-multi-objective-joint-neural-architecture-search-and-hyperparameter-optimization-2105.01015</loc><lastmod>2021-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bag-of-baselines-for-multi-objective-joint-neural-architecture-search-and-hyperparameter-optimization-2105.01015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bag-of-baselines-for-multi-objective-joint-neural-architecture-search-and-hyperparameter-optimization-2105.01015"/></url>
<url><loc>https://scifaro.com/en/abs/process-model-forecasting-using-time-series-analysis-of-event-sequence-data-2105.01092</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/process-model-forecasting-using-time-series-analysis-of-event-sequence-data-2105.01092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/process-model-forecasting-using-time-series-analysis-of-event-sequence-data-2105.01092"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-ridesharing-an-extended-survey-2105.01099</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-ridesharing-an-extended-survey-2105.01099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-ridesharing-an-extended-survey-2105.01099"/></url>
<url><loc>https://scifaro.com/en/abs/iterated-learning-for-emergent-systematicity-in-vqa-2105.01119</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterated-learning-for-emergent-systematicity-in-vqa-2105.01119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterated-learning-for-emergent-systematicity-in-vqa-2105.01119"/></url>
<url><loc>https://scifaro.com/en/abs/context-aware-demand-prediction-in-bike-sharing-systems-incorporating-spatial-meteorological-and-calendrical-context-2105.01125</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-aware-demand-prediction-in-bike-sharing-systems-incorporating-spatial-meteorological-and-calendrical-context-2105.01125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-aware-demand-prediction-in-bike-sharing-systems-incorporating-spatial-meteorological-and-calendrical-context-2105.01125"/></url>
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<url><loc>https://scifaro.com/en/abs/the-tracking-machine-learning-challenge-throughput-phase-2105.01160</loc><lastmod>2025-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-tracking-machine-learning-challenge-throughput-phase-2105.01160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-tracking-machine-learning-challenge-throughput-phase-2105.01160"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-applications-for-therapeutic-tasks-with-genomics-data-2105.01171</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-applications-for-therapeutic-tasks-with-genomics-data-2105.01171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-applications-for-therapeutic-tasks-with-genomics-data-2105.01171"/></url>
<url><loc>https://scifaro.com/en/abs/ebic-jl-an-efficient-implementation-of-evolutionary-biclustering-algorithm-in-julia-2105.01196</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ebic-jl-an-efficient-implementation-of-evolutionary-biclustering-algorithm-in-julia-2105.01196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ebic-jl-an-efficient-implementation-of-evolutionary-biclustering-algorithm-in-julia-2105.01196"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-least-squares-twin-support-vector-machine-with-fuzzy-rough-set-theory-for-imbalanced-data-classification-2105.01198</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-least-squares-twin-support-vector-machine-with-fuzzy-rough-set-theory-for-imbalanced-data-classification-2105.01198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-least-squares-twin-support-vector-machine-with-fuzzy-rough-set-theory-for-imbalanced-data-classification-2105.01198"/></url>
<url><loc>https://scifaro.com/en/abs/all-clear-flare-prediction-using-interval-based-time-series-classifiers-2105.01202</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/all-clear-flare-prediction-using-interval-based-time-series-classifiers-2105.01202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/all-clear-flare-prediction-using-interval-based-time-series-classifiers-2105.01202"/></url>
<url><loc>https://scifaro.com/en/abs/laborecommender-a-crazy-easy-to-use-python-based-recommender-system-for-laboratory-tests-2105.01209</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/laborecommender-a-crazy-easy-to-use-python-based-recommender-system-for-laboratory-tests-2105.01209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/laborecommender-a-crazy-easy-to-use-python-based-recommender-system-for-laboratory-tests-2105.01209"/></url>
<url><loc>https://scifaro.com/en/abs/gt-storm-taming-sample-communication-and-memory-complexities-in-decentralized-non-convex-learning-2105.01231</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gt-storm-taming-sample-communication-and-memory-complexities-in-decentralized-non-convex-learning-2105.01231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gt-storm-taming-sample-communication-and-memory-complexities-in-decentralized-non-convex-learning-2105.01231"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-multi-specialist-topic-model-with-applications-on-large-scale-electronic-health-record-data-2105.01238</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-multi-specialist-topic-model-with-applications-on-large-scale-electronic-health-record-data-2105.01238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-multi-specialist-topic-model-with-applications-on-large-scale-electronic-health-record-data-2105.01238"/></url>
<url><loc>https://scifaro.com/en/abs/wifi-fingerprint-clustering-for-urban-mobility-analysis-2105.01274</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wifi-fingerprint-clustering-for-urban-mobility-analysis-2105.01274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wifi-fingerprint-clustering-for-urban-mobility-analysis-2105.01274"/></url>
<url><loc>https://scifaro.com/en/abs/graph-pooling-via-coarsened-graph-infomax-2105.01275</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-pooling-via-coarsened-graph-infomax-2105.01275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-pooling-via-coarsened-graph-infomax-2105.01275"/></url>
<url><loc>https://scifaro.com/en/abs/non-i-i-d-multi-instance-learning-for-predicting-instance-and-bag-labels-using-variational-auto-encoder-2105.01276</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-i-i-d-multi-instance-learning-for-predicting-instance-and-bag-labels-using-variational-auto-encoder-2105.01276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-i-i-d-multi-instance-learning-for-predicting-instance-and-bag-labels-using-variational-auto-encoder-2105.01276"/></url>
<url><loc>https://scifaro.com/en/abs/versagnn-a-versatile-accelerator-for-graph-neural-networks-2105.01280</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/versagnn-a-versatile-accelerator-for-graph-neural-networks-2105.01280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/versagnn-a-versatile-accelerator-for-graph-neural-networks-2105.01280"/></url>
<url><loc>https://scifaro.com/en/abs/winter-wheat-yield-prediction-using-convolutional-neural-networks-from-environmental-and-phenological-data-2105.01282</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/winter-wheat-yield-prediction-using-convolutional-neural-networks-from-environmental-and-phenological-data-2105.01282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/winter-wheat-yield-prediction-using-convolutional-neural-networks-from-environmental-and-phenological-data-2105.01282"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-coupled-flow-geomechanics-surrogate-model-for-co-2-sequestration-2105.01334</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-coupled-flow-geomechanics-surrogate-model-for-co-2-sequestration-2105.01334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-coupled-flow-geomechanics-surrogate-model-for-co-2-sequestration-2105.01334"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-algorithms-for-range-searching-over-multi-armed-bandits-2105.01390</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-algorithms-for-range-searching-over-multi-armed-bandits-2105.01390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-algorithms-for-range-searching-over-multi-armed-bandits-2105.01390"/></url>
<url><loc>https://scifaro.com/en/abs/using-twitter-attribute-information-to-predict-stock-prices-2105.01402</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-twitter-attribute-information-to-predict-stock-prices-2105.01402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-twitter-attribute-information-to-predict-stock-prices-2105.01402"/></url>
<url><loc>https://scifaro.com/en/abs/timegym-debugging-for-time-series-modeling-in-python-2105.01404</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/timegym-debugging-for-time-series-modeling-in-python-2105.01404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/timegym-debugging-for-time-series-modeling-in-python-2105.01404"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-on-oracle-issues-in-machine-learning-2105.01407</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-on-oracle-issues-in-machine-learning-2105.01407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-on-oracle-issues-in-machine-learning-2105.01407"/></url>
<url><loc>https://scifaro.com/en/abs/training-quantized-neural-networks-to-global-optimality-via-semidefinite-programming-2105.01420</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-quantized-neural-networks-to-global-optimality-via-semidefinite-programming-2105.01420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-quantized-neural-networks-to-global-optimality-via-semidefinite-programming-2105.01420"/></url>
<url><loc>https://scifaro.com/en/abs/learning-traffic-speed-dynamics-from-visualizations-2105.01423</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-traffic-speed-dynamics-from-visualizations-2105.01423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-traffic-speed-dynamics-from-visualizations-2105.01423"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-linear-convergence-of-natural-policy-gradient-algorithm-2105.01424</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-linear-convergence-of-natural-policy-gradient-algorithm-2105.01424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-linear-convergence-of-natural-policy-gradient-algorithm-2105.01424"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-generalizability-of-predictive-models-with-synergy-of-data-and-physics-2105.01429</loc><lastmod>2022-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-generalizability-of-predictive-models-with-synergy-of-data-and-physics-2105.01429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-generalizability-of-predictive-models-with-synergy-of-data-and-physics-2105.01429"/></url>
<url><loc>https://scifaro.com/en/abs/neurallog-a-neural-logic-language-2105.01442</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neurallog-a-neural-logic-language-2105.01442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neurallog-a-neural-logic-language-2105.01442"/></url>
<url><loc>https://scifaro.com/en/abs/mil-benchmarks-standardized-evaluation-of-deep-multiple-instance-learning-techniques-2105.01443</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mil-benchmarks-standardized-evaluation-of-deep-multiple-instance-learning-techniques-2105.01443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mil-benchmarks-standardized-evaluation-of-deep-multiple-instance-learning-techniques-2105.01443"/></url>
<url><loc>https://scifaro.com/en/abs/online-transfer-learning-negative-transfer-and-effect-of-prior-knowledge-2105.01445</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-transfer-learning-negative-transfer-and-effect-of-prior-knowledge-2105.01445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-transfer-learning-negative-transfer-and-effect-of-prior-knowledge-2105.01445"/></url>
<url><loc>https://scifaro.com/en/abs/sentiment-and-emotion-classification-of-epidemic-related-bilingual-data-from-social-media-2105.01468</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sentiment-and-emotion-classification-of-epidemic-related-bilingual-data-from-social-media-2105.01468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sentiment-and-emotion-classification-of-epidemic-related-bilingual-data-from-social-media-2105.01468"/></url>
<url><loc>https://scifaro.com/en/abs/neural-weighted-a-learning-graph-costs-and-heuristics-with-differentiable-anytime-a-2105.01480</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-weighted-a-learning-graph-costs-and-heuristics-with-differentiable-anytime-a-2105.01480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-weighted-a-learning-graph-costs-and-heuristics-with-differentiable-anytime-a-2105.01480"/></url>
<url><loc>https://scifaro.com/en/abs/multipath-graph-convolutional-neural-networks-2105.01510</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multipath-graph-convolutional-neural-networks-2105.01510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multipath-graph-convolutional-neural-networks-2105.01510"/></url>
<url><loc>https://scifaro.com/en/abs/a-finer-calibration-analysis-for-adversarial-robustness-2105.01550</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-finer-calibration-analysis-for-adversarial-robustness-2105.01550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-finer-calibration-analysis-for-adversarial-robustness-2105.01550"/></url>
<url><loc>https://scifaro.com/en/abs/broadly-applicable-targeted-data-sample-omission-attacks-2105.01560</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/broadly-applicable-targeted-data-sample-omission-attacks-2105.01560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/broadly-applicable-targeted-data-sample-omission-attacks-2105.01560"/></url>
<url><loc>https://scifaro.com/en/abs/towards-error-measures-which-influence-a-learners-inductive-bias-to-the-ground-truth-2105.01567</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-error-measures-which-influence-a-learners-inductive-bias-to-the-ground-truth-2105.01567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-error-measures-which-influence-a-learners-inductive-bias-to-the-ground-truth-2105.01567"/></url>
<url><loc>https://scifaro.com/en/abs/effective-sparsification-of-neural-networks-with-global-sparsity-constraint-2105.01571</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-sparsification-of-neural-networks-with-global-sparsity-constraint-2105.01571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-sparsification-of-neural-networks-with-global-sparsity-constraint-2105.01571"/></url>
<url><loc>https://scifaro.com/en/abs/regret-bounds-for-stochastic-shortest-path-problems-with-linear-function-approximation-2105.01593</loc><lastmod>2022-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-bounds-for-stochastic-shortest-path-problems-with-linear-function-approximation-2105.01593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-bounds-for-stochastic-shortest-path-problems-with-linear-function-approximation-2105.01593"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-adaptive-exploration-of-unknown-environments-2105.01606</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-adaptive-exploration-of-unknown-environments-2105.01606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-adaptive-exploration-of-unknown-environments-2105.01606"/></url>
<url><loc>https://scifaro.com/en/abs/data-efficient-reinforcement-learning-for-malaria-control-2105.01620</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-efficient-reinforcement-learning-for-malaria-control-2105.01620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-efficient-reinforcement-learning-for-malaria-control-2105.01620"/></url>
<url><loc>https://scifaro.com/en/abs/poisoning-the-unlabeled-dataset-of-semi-supervised-learning-2105.01622</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisoning-the-unlabeled-dataset-of-semi-supervised-learning-2105.01622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisoning-the-unlabeled-dataset-of-semi-supervised-learning-2105.01622"/></url>
<url><loc>https://scifaro.com/en/abs/learning-3d-granular-flow-simulations-2105.01636</loc><lastmod>2021-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-3d-granular-flow-simulations-2105.01636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-3d-granular-flow-simulations-2105.01636"/></url>
<url><loc>https://scifaro.com/en/abs/on-lottery-tickets-and-minimal-task-representations-in-deep-reinforcement-learning-2105.01648</loc><lastmod>2022-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-lottery-tickets-and-minimal-task-representations-in-deep-reinforcement-learning-2105.01648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-lottery-tickets-and-minimal-task-representations-in-deep-reinforcement-learning-2105.01648"/></url>
<url><loc>https://scifaro.com/en/abs/sampling-from-the-wasserstein-barycenter-2105.01706</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sampling-from-the-wasserstein-barycenter-2105.01706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sampling-from-the-wasserstein-barycenter-2105.01706"/></url>
<url><loc>https://scifaro.com/en/abs/information-complexity-and-generalization-bounds-2105.01747</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-complexity-and-generalization-bounds-2105.01747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-complexity-and-generalization-bounds-2105.01747"/></url>
<url><loc>https://scifaro.com/en/abs/ovarian-cancer-detection-based-on-dimensionality-reduction-techniques-and-genetic-algorithm-2105.01748</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ovarian-cancer-detection-based-on-dimensionality-reduction-techniques-and-genetic-algorithm-2105.01748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ovarian-cancer-detection-based-on-dimensionality-reduction-techniques-and-genetic-algorithm-2105.01748"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-scalable-logic-optimization-with-graph-neural-networks-2105.01755</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-scalable-logic-optimization-with-graph-neural-networks-2105.01755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-scalable-logic-optimization-with-graph-neural-networks-2105.01755"/></url>
<url><loc>https://scifaro.com/en/abs/robust-reconfigurable-intelligent-surfaces-via-invariant-risk-and-causal-representations-2105.01771</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-reconfigurable-intelligent-surfaces-via-invariant-risk-and-causal-representations-2105.01771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-reconfigurable-intelligent-surfaces-via-invariant-risk-and-causal-representations-2105.01771"/></url>
<url><loc>https://scifaro.com/en/abs/improved-surrogate-modeling-of-fluid-dynamics-with-physics-informed-neural-networks-2105.01838</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-surrogate-modeling-of-fluid-dynamics-with-physics-informed-neural-networks-2105.01838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-surrogate-modeling-of-fluid-dynamics-with-physics-informed-neural-networks-2105.01838"/></url>
<url><loc>https://scifaro.com/en/abs/preference-learning-along-multiple-criteria-a-game-theoretic-perspective-2105.01850</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preference-learning-along-multiple-criteria-a-game-theoretic-perspective-2105.01850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preference-learning-along-multiple-criteria-a-game-theoretic-perspective-2105.01850"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretical-empirical-approach-to-estimating-sample-complexity-of-dnns-2105.01867</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-empirical-approach-to-estimating-sample-complexity-of-dnns-2105.01867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-empirical-approach-to-estimating-sample-complexity-of-dnns-2105.01867"/></url>
<url><loc>https://scifaro.com/en/abs/q-rater-non-convex-optimization-for-post-training-uniform-quantization-2105.01868</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/q-rater-non-convex-optimization-for-post-training-uniform-quantization-2105.01868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/q-rater-non-convex-optimization-for-post-training-uniform-quantization-2105.01868"/></url>
<url><loc>https://scifaro.com/en/abs/encoding-weights-of-irregular-sparsity-for-fixed-to-fixed-model-compression-2105.01869</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encoding-weights-of-irregular-sparsity-for-fixed-to-fixed-model-compression-2105.01869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encoding-weights-of-irregular-sparsity-for-fixed-to-fixed-model-compression-2105.01869"/></url>
<url><loc>https://scifaro.com/en/abs/modulating-regularization-frequency-for-efficient-compression-aware-model-training-2105.01875</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modulating-regularization-frequency-for-efficient-compression-aware-model-training-2105.01875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modulating-regularization-frequency-for-efficient-compression-aware-model-training-2105.01875"/></url>
<url><loc>https://scifaro.com/en/abs/change-matters-medication-change-prediction-with-recurrent-residual-networks-2105.01876</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/change-matters-medication-change-prediction-with-recurrent-residual-networks-2105.01876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/change-matters-medication-change-prediction-with-recurrent-residual-networks-2105.01876"/></url>
<url><loc>https://scifaro.com/en/abs/cosa-scheduling-by-constrained-optimization-for-spatial-accelerators-2105.01898</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cosa-scheduling-by-constrained-optimization-for-spatial-accelerators-2105.01898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cosa-scheduling-by-constrained-optimization-for-spatial-accelerators-2105.01898"/></url>
<url><loc>https://scifaro.com/en/abs/mice-mixture-of-contrastive-experts-for-unsupervised-image-clustering-2105.01899</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mice-mixture-of-contrastive-experts-for-unsupervised-image-clustering-2105.01899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mice-mixture-of-contrastive-experts-for-unsupervised-image-clustering-2105.01899"/></url>
<url><loc>https://scifaro.com/en/abs/solving-sokoban-with-forward-backward-reinforcement-learning-2105.01904</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-sokoban-with-forward-backward-reinforcement-learning-2105.01904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-sokoban-with-forward-backward-reinforcement-learning-2105.01904"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-on-the-edge-with-tensorflow-lite-2105.01946</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-on-the-edge-with-tensorflow-lite-2105.01946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-on-the-edge-with-tensorflow-lite-2105.01946"/></url>
<url><loc>https://scifaro.com/en/abs/perceptual-gradient-networks-2105.01957</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perceptual-gradient-networks-2105.01957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perceptual-gradient-networks-2105.01957"/></url>
<url><loc>https://scifaro.com/en/abs/attack-agnostic-adversarial-detection-on-medical-data-using-explainable-machine-learning-2105.01959</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attack-agnostic-adversarial-detection-on-medical-data-using-explainable-machine-learning-2105.01959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attack-agnostic-adversarial-detection-on-medical-data-using-explainable-machine-learning-2105.01959"/></url>
<url><loc>https://scifaro.com/en/abs/non-autoregressive-vs-autoregressive-neural-networks-for-system-identification-2105.02027</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-autoregressive-vs-autoregressive-neural-networks-for-system-identification-2105.02027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-autoregressive-vs-autoregressive-neural-networks-for-system-identification-2105.02027"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-short-range-memory-effects-in-deep-neural-networks-2105.02062</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-short-range-memory-effects-in-deep-neural-networks-2105.02062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-short-range-memory-effects-in-deep-neural-networks-2105.02062"/></url>
<url><loc>https://scifaro.com/en/abs/schematic-memory-persistence-and-transience-for-efficient-and-robust-continual-learning-2105.02085</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/schematic-memory-persistence-and-transience-for-efficient-and-robust-continual-learning-2105.02085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/schematic-memory-persistence-and-transience-for-efficient-and-robust-continual-learning-2105.02085"/></url>
<url><loc>https://scifaro.com/en/abs/two-layer-neural-networks-with-values-in-a-banach-space-2105.02095</loc><lastmod>2022-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-layer-neural-networks-with-values-in-a-banach-space-2105.02095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-layer-neural-networks-with-values-in-a-banach-space-2105.02095"/></url>
<url><loc>https://scifaro.com/en/abs/uvip-model-free-approach-to-evaluate-reinforcement-learning-algorithms-2105.02135</loc><lastmod>2026-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uvip-model-free-approach-to-evaluate-reinforcement-learning-algorithms-2105.02135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uvip-model-free-approach-to-evaluate-reinforcement-learning-algorithms-2105.02135"/></url>
<url><loc>https://scifaro.com/en/abs/how-fine-tuning-allows-for-effective-meta-learning-2105.02221</loc><lastmod>2021-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-fine-tuning-allows-for-effective-meta-learning-2105.02221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-fine-tuning-allows-for-effective-meta-learning-2105.02221"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-graph-neural-network-training-the-case-for-sampling-2105.02315</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-graph-neural-network-training-the-case-for-sampling-2105.02315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-graph-neural-network-training-the-case-for-sampling-2105.02315"/></url>
<url><loc>https://scifaro.com/en/abs/learning-algorithms-for-regenerative-stopping-problems-with-applications-to-shipping-consolidation-in-logistics-2105.02318</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-algorithms-for-regenerative-stopping-problems-with-applications-to-shipping-consolidation-in-logistics-2105.02318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-algorithms-for-regenerative-stopping-problems-with-applications-to-shipping-consolidation-in-logistics-2105.02318"/></url>
<url><loc>https://scifaro.com/en/abs/comboptnet-fit-the-right-np-hard-problem-by-learning-integer-programming-constraints-2105.02343</loc><lastmod>2024-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comboptnet-fit-the-right-np-hard-problem-by-learning-integer-programming-constraints-2105.02343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comboptnet-fit-the-right-np-hard-problem-by-learning-integer-programming-constraints-2105.02343"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-spline-learning-for-nonlinear-dynamics-discovery-2105.02368</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-spline-learning-for-nonlinear-dynamics-discovery-2105.02368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-spline-learning-for-nonlinear-dynamics-discovery-2105.02368"/></url>
<url><loc>https://scifaro.com/en/abs/a-geometric-analysis-of-neural-collapse-with-unconstrained-features-2105.02375</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-geometric-analysis-of-neural-collapse-with-unconstrained-features-2105.02375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-geometric-analysis-of-neural-collapse-with-unconstrained-features-2105.02375"/></url>
<url><loc>https://scifaro.com/en/abs/towards-content-provider-aware-recommender-systems-a-simulation-study-on-the-interplay-between-user-and-provider-utilities-2105.02377</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-content-provider-aware-recommender-systems-a-simulation-study-on-the-interplay-between-user-and-provider-utilities-2105.02377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-content-provider-aware-recommender-systems-a-simulation-study-on-the-interplay-between-user-and-provider-utilities-2105.02377"/></url>
<url><loc>https://scifaro.com/en/abs/partially-interpretable-estimators-pie-black-box-refined-interpretable-machine-learning-2105.02410</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partially-interpretable-estimators-pie-black-box-refined-interpretable-machine-learning-2105.02410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partially-interpretable-estimators-pie-black-box-refined-interpretable-machine-learning-2105.02410"/></url>
<url><loc>https://scifaro.com/en/abs/relative-stability-toward-diffeomorphisms-indicates-performance-in-deep-nets-2105.02468</loc><lastmod>2022-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-stability-toward-diffeomorphisms-indicates-performance-in-deep-nets-2105.02468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-stability-toward-diffeomorphisms-indicates-performance-in-deep-nets-2105.02468"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-multimodal-elbo-2105.02470</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-multimodal-elbo-2105.02470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-multimodal-elbo-2105.02470"/></url>
<url><loc>https://scifaro.com/en/abs/learning-neighborhood-representation-from-multi-modal-multi-graph-image-text-mobility-graph-and-beyond-2105.02489</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-neighborhood-representation-from-multi-modal-multi-graph-image-text-mobility-graph-and-beyond-2105.02489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-neighborhood-representation-from-multi-modal-multi-graph-image-text-mobility-graph-and-beyond-2105.02489"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-active-learning-by-disagreements-a-geometric-perspective-2105.02543</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-active-learning-by-disagreements-a-geometric-perspective-2105.02543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-active-learning-by-disagreements-a-geometric-perspective-2105.02543"/></url>
<url><loc>https://scifaro.com/en/abs/structured-ensembles-an-approach-to-reduce-the-memory-footprint-of-ensemble-methods-2105.02551</loc><lastmod>2022-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-ensembles-an-approach-to-reduce-the-memory-footprint-of-ensemble-methods-2105.02551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-ensembles-an-approach-to-reduce-the-memory-footprint-of-ensemble-methods-2105.02551"/></url>
<url><loc>https://scifaro.com/en/abs/metric-entropy-limits-on-recurrent-neural-network-learning-of-linear-dynamical-systems-2105.02556</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-entropy-limits-on-recurrent-neural-network-learning-of-linear-dynamical-systems-2105.02556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-entropy-limits-on-recurrent-neural-network-learning-of-linear-dynamical-systems-2105.02556"/></url>
<url><loc>https://scifaro.com/en/abs/brain-multigraph-prediction-using-topology-aware-adversarial-graph-neural-network-2105.02565</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/brain-multigraph-prediction-using-topology-aware-adversarial-graph-neural-network-2105.02565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/brain-multigraph-prediction-using-topology-aware-adversarial-graph-neural-network-2105.02565"/></url>
<url><loc>https://scifaro.com/en/abs/time-aware-q-networks-resolving-temporal-irregularity-for-deep-reinforcement-learning-2105.02580</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-aware-q-networks-resolving-temporal-irregularity-for-deep-reinforcement-learning-2105.02580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-aware-q-networks-resolving-temporal-irregularity-for-deep-reinforcement-learning-2105.02580"/></url>
<url><loc>https://scifaro.com/en/abs/fdnet-a-deep-learning-approach-with-two-parallel-cross-encoding-pathways-for-precipitation-nowcasting-2105.02585</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fdnet-a-deep-learning-approach-with-two-parallel-cross-encoding-pathways-for-precipitation-nowcasting-2105.02585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fdnet-a-deep-learning-approach-with-two-parallel-cross-encoding-pathways-for-precipitation-nowcasting-2105.02585"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-based-centralized-matching-in-two-sided-markets-for-peer-to-peer-lending-2105.02589</loc><lastmod>2023-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-based-centralized-matching-in-two-sided-markets-for-peer-to-peer-lending-2105.02589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-based-centralized-matching-in-two-sided-markets-for-peer-to-peer-lending-2105.02589"/></url>
<url><loc>https://scifaro.com/en/abs/reliability-testing-for-natural-language-processing-systems-2105.02590</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliability-testing-for-natural-language-processing-systems-2105.02590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliability-testing-for-natural-language-processing-systems-2105.02590"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-memory-efficient-formal-verification-tools-for-tree-ensembles-2105.02595</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-memory-efficient-formal-verification-tools-for-tree-ensembles-2105.02595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-memory-efficient-formal-verification-tools-for-tree-ensembles-2105.02595"/></url>
<url><loc>https://scifaro.com/en/abs/challenges-and-obstacles-towards-deploying-deep-learning-models-on-mobile-devices-2105.02613</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-and-obstacles-towards-deploying-deep-learning-models-on-mobile-devices-2105.02613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-and-obstacles-towards-deploying-deep-learning-models-on-mobile-devices-2105.02613"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-the-effect-of-longitudinal-dose-and-inr-data-on-maintenance-warfarin-dose-predictions-2105.02625</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-the-effect-of-longitudinal-dose-and-inr-data-on-maintenance-warfarin-dose-predictions-2105.02625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-the-effect-of-longitudinal-dose-and-inr-data-on-maintenance-warfarin-dose-predictions-2105.02625"/></url>
<url><loc>https://scifaro.com/en/abs/regularizing-explanations-in-bayesian-convolutional-neural-networks-2105.02653</loc><lastmod>2024-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizing-explanations-in-bayesian-convolutional-neural-networks-2105.02653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizing-explanations-in-bayesian-convolutional-neural-networks-2105.02653"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-aware-invase-enhanced-breast-cancer-diagnosis-feature-selection-2105.02693</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-aware-invase-enhanced-breast-cancer-diagnosis-feature-selection-2105.02693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-aware-invase-enhanced-breast-cancer-diagnosis-feature-selection-2105.02693"/></url>
<url><loc>https://scifaro.com/en/abs/safedrug-dual-molecular-graph-encoders-for-recommending-effective-and-safe-drug-combinations-2105.02711</loc><lastmod>2022-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safedrug-dual-molecular-graph-encoders-for-recommending-effective-and-safe-drug-combinations-2105.02711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safedrug-dual-molecular-graph-encoders-for-recommending-effective-and-safe-drug-combinations-2105.02711"/></url>
<url><loc>https://scifaro.com/en/abs/noether-s-learning-dynamics-role-of-symmetry-breaking-in-neural-networks-2105.02716</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noether-s-learning-dynamics-role-of-symmetry-breaking-in-neural-networks-2105.02716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noether-s-learning-dynamics-role-of-symmetry-breaking-in-neural-networks-2105.02716"/></url>
<url><loc>https://scifaro.com/en/abs/crosswalk-fairness-enhanced-node-representation-learning-2105.02725</loc><lastmod>2022-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crosswalk-fairness-enhanced-node-representation-learning-2105.02725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crosswalk-fairness-enhanced-node-representation-learning-2105.02725"/></url>
<url><loc>https://scifaro.com/en/abs/solve-routing-problems-with-a-residual-edge-graph-attention-neural-network-2105.02730</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solve-routing-problems-with-a-residual-edge-graph-attention-neural-network-2105.02730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solve-routing-problems-with-a-residual-edge-graph-attention-neural-network-2105.02730"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-the-geospatial-evolution-of-covid-19-using-spatio-temporal-convolutional-sequence-to-sequence-neural-networks-2105.02752</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-the-geospatial-evolution-of-covid-19-using-spatio-temporal-convolutional-sequence-to-sequence-neural-networks-2105.02752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-the-geospatial-evolution-of-covid-19-using-spatio-temporal-convolutional-sequence-to-sequence-neural-networks-2105.02752"/></url>
<url><loc>https://scifaro.com/en/abs/neural-algorithmic-reasoning-2105.02761</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-algorithmic-reasoning-2105.02761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-algorithmic-reasoning-2105.02761"/></url>
<url><loc>https://scifaro.com/en/abs/practical-and-rigorous-uncertainty-bounds-for-gaussian-process-regression-2105.02796</loc><lastmod>2023-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-and-rigorous-uncertainty-bounds-for-gaussian-process-regression-2105.02796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-and-rigorous-uncertainty-bounds-for-gaussian-process-regression-2105.02796"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-multi-scale-dilated-3d-cnn-for-epileptic-seizure-prediction-2105.02823</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-multi-scale-dilated-3d-cnn-for-epileptic-seizure-prediction-2105.02823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-multi-scale-dilated-3d-cnn-for-epileptic-seizure-prediction-2105.02823"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-bandits-with-sparse-data-in-web-setting-2105.02873</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-bandits-with-sparse-data-in-web-setting-2105.02873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-bandits-with-sparse-data-in-web-setting-2105.02873"/></url>
<url><loc>https://scifaro.com/en/abs/a-metamodel-structure-for-regression-analysis-application-to-prediction-of-autism-spectrum-disorder-severity-2105.02874</loc><lastmod>2021-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-metamodel-structure-for-regression-analysis-application-to-prediction-of-autism-spectrum-disorder-severity-2105.02874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-metamodel-structure-for-regression-analysis-application-to-prediction-of-autism-spectrum-disorder-severity-2105.02874"/></url>
<url><loc>https://scifaro.com/en/abs/text-similarity-analysis-for-evaluation-of-descriptive-answers-2105.02935</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/text-similarity-analysis-for-evaluation-of-descriptive-answers-2105.02935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/text-similarity-analysis-for-evaluation-of-descriptive-answers-2105.02935"/></url>
<url><loc>https://scifaro.com/en/abs/exact-acceleration-of-k-means-and-k-means-2105.02936</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-acceleration-of-k-means-and-k-means-2105.02936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-acceleration-of-k-means-and-k-means-2105.02936"/></url>
<url><loc>https://scifaro.com/en/abs/pce-pinns-physics-informed-neural-networks-for-uncertainty-propagation-in-ocean-modeling-2105.02939</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pce-pinns-physics-informed-neural-networks-for-uncertainty-propagation-in-ocean-modeling-2105.02939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pce-pinns-physics-informed-neural-networks-for-uncertainty-propagation-in-ocean-modeling-2105.02939"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-catastrophic-overfitting-in-adversarial-training-2105.02942</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-catastrophic-overfitting-in-adversarial-training-2105.02942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-catastrophic-overfitting-in-adversarial-training-2105.02942"/></url>
<url><loc>https://scifaro.com/en/abs/recognition-of-handwritten-mnist-digits-on-low-memory-2-kb-ram-arduino-board-using-lognnet-reservoir-neural-network-2105.02953</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recognition-of-handwritten-mnist-digits-on-low-memory-2-kb-ram-arduino-board-using-lognnet-reservoir-neural-network-2105.02953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recognition-of-handwritten-mnist-digits-on-low-memory-2-kb-ram-arduino-board-using-lognnet-reservoir-neural-network-2105.02953"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-distribution-detection-and-generation-using-soft-brownian-offset-sampling-and-autoencoders-2105.02965</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-distribution-detection-and-generation-using-soft-brownian-offset-sampling-and-autoencoders-2105.02965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-distribution-detection-and-generation-using-soft-brownian-offset-sampling-and-autoencoders-2105.02965"/></url>
<url><loc>https://scifaro.com/en/abs/learning-controllable-content-generators-2105.02993</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-controllable-content-generators-2105.02993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-controllable-content-generators-2105.02993"/></url>
<url><loc>https://scifaro.com/en/abs/weather-impact-on-daily-cases-of-covid-19-in-saudi-arabia-using-machine-learning-2105.03027</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weather-impact-on-daily-cases-of-covid-19-in-saudi-arabia-using-machine-learning-2105.03027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weather-impact-on-daily-cases-of-covid-19-in-saudi-arabia-using-machine-learning-2105.03027"/></url>
<url><loc>https://scifaro.com/en/abs/towards-sharper-utility-bounds-for-differentially-private-pairwise-learning-2105.03033</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-sharper-utility-bounds-for-differentially-private-pairwise-learning-2105.03033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-sharper-utility-bounds-for-differentially-private-pairwise-learning-2105.03033"/></url>
<url><loc>https://scifaro.com/en/abs/concad-contrastive-learning-based-cross-attention-for-sleep-apnea-detection-2105.03037</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concad-contrastive-learning-based-cross-attention-for-sleep-apnea-detection-2105.03037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concad-contrastive-learning-based-cross-attention-for-sleep-apnea-detection-2105.03037"/></url>
<url><loc>https://scifaro.com/en/abs/utilizing-skipped-frames-in-action-repeats-via-pseudo-actions-2105.03041</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/utilizing-skipped-frames-in-action-repeats-via-pseudo-actions-2105.03041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/utilizing-skipped-frames-in-action-repeats-via-pseudo-actions-2105.03041"/></url>
<url><loc>https://scifaro.com/en/abs/gantl-towards-practical-and-real-time-topology-optimization-with-conditional-gans-and-transfer-learning-2105.03045</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gantl-towards-practical-and-real-time-topology-optimization-with-conditional-gans-and-transfer-learning-2105.03045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gantl-towards-practical-and-real-time-topology-optimization-with-conditional-gans-and-transfer-learning-2105.03045"/></url>
<url><loc>https://scifaro.com/en/abs/pemnet-a-transfer-learning-based-modeling-approach-of-high-temperature-polymer-electrolyte-membrane-electrochemical-systems-2105.03057</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pemnet-a-transfer-learning-based-modeling-approach-of-high-temperature-polymer-electrolyte-membrane-electrochemical-systems-2105.03057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pemnet-a-transfer-learning-based-modeling-approach-of-high-temperature-polymer-electrolyte-membrane-electrochemical-systems-2105.03057"/></url>
<url><loc>https://scifaro.com/en/abs/error-robust-multi-view-clustering-progress-challenges-and-opportunities-2105.03058</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-robust-multi-view-clustering-progress-challenges-and-opportunities-2105.03058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-robust-multi-view-clustering-progress-challenges-and-opportunities-2105.03058"/></url>
<url><loc>https://scifaro.com/en/abs/an-influence-based-approach-for-root-cause-alarm-discovery-in-telecom-networks-2105.03092</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-influence-based-approach-for-root-cause-alarm-discovery-in-telecom-networks-2105.03092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-influence-based-approach-for-root-cause-alarm-discovery-in-telecom-networks-2105.03092"/></url>
<url><loc>https://scifaro.com/en/abs/laplace-matching-for-fast-approximate-inference-in-latent-gaussian-models-2105.03109</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/laplace-matching-for-fast-approximate-inference-in-latent-gaussian-models-2105.03109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/laplace-matching-for-fast-approximate-inference-in-latent-gaussian-models-2105.03109"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-mechanism-in-residual-neural-network-theory-and-applications-2105.03155</loc><lastmod>2023-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-mechanism-in-residual-neural-network-theory-and-applications-2105.03155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-mechanism-in-residual-neural-network-theory-and-applications-2105.03155"/></url>
<url><loc>https://scifaro.com/en/abs/fedgl-federated-graph-learning-framework-with-global-self-supervision-2105.03170</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedgl-federated-graph-learning-framework-with-global-self-supervision-2105.03170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedgl-federated-graph-learning-framework-with-global-self-supervision-2105.03170"/></url>
<url><loc>https://scifaro.com/en/abs/reward-prediction-for-representation-learning-and-reward-shaping-2105.03172</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reward-prediction-for-representation-learning-and-reward-shaping-2105.03172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reward-prediction-for-representation-learning-and-reward-shaping-2105.03172"/></url>
<url><loc>https://scifaro.com/en/abs/annette-accurate-neural-network-execution-time-estimation-with-stacked-models-2105.03176</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/annette-accurate-neural-network-execution-time-estimation-with-stacked-models-2105.03176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/annette-accurate-neural-network-execution-time-estimation-with-stacked-models-2105.03176"/></url>
<url><loc>https://scifaro.com/en/abs/graph-entropy-guided-node-embedding-dimension-selection-for-graph-neural-networks-2105.03178</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-entropy-guided-node-embedding-dimension-selection-for-graph-neural-networks-2105.03178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-entropy-guided-node-embedding-dimension-selection-for-graph-neural-networks-2105.03178"/></url>
<url><loc>https://scifaro.com/en/abs/network-pruning-that-matters-a-case-study-on-retraining-variants-2105.03193</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-pruning-that-matters-a-case-study-on-retraining-variants-2105.03193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-pruning-that-matters-a-case-study-on-retraining-variants-2105.03193"/></url>
<url><loc>https://scifaro.com/en/abs/bring-your-own-codegen-to-deep-learning-compiler-2105.03215</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bring-your-own-codegen-to-deep-learning-compiler-2105.03215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bring-your-own-codegen-to-deep-learning-compiler-2105.03215"/></url>
<url><loc>https://scifaro.com/en/abs/energy-based-anomaly-detection-and-localization-2105.03270</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-based-anomaly-detection-and-localization-2105.03270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-based-anomaly-detection-and-localization-2105.03270"/></url>
<url><loc>https://scifaro.com/en/abs/order-in-the-court-explainable-ai-methods-prone-to-disagreement-2105.03287</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/order-in-the-court-explainable-ai-methods-prone-to-disagreement-2105.03287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/order-in-the-court-explainable-ai-methods-prone-to-disagreement-2105.03287"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-architecture-for-federated-and-centralized-learning-2105.03288</loc><lastmod>2022-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-architecture-for-federated-and-centralized-learning-2105.03288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-architecture-for-federated-and-centralized-learning-2105.03288"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-applied-machine-learning-techniques-for-optical-ofdm-based-networks-2105.03289</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-applied-machine-learning-techniques-for-optical-ofdm-based-networks-2105.03289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-applied-machine-learning-techniques-for-optical-ofdm-based-networks-2105.03289"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-multiple-relations-for-fashion-trend-forecasting-based-on-social-media-2105.03299</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-multiple-relations-for-fashion-trend-forecasting-based-on-social-media-2105.03299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-multiple-relations-for-fashion-trend-forecasting-based-on-social-media-2105.03299"/></url>
<url><loc>https://scifaro.com/en/abs/context-based-soft-actor-critic-for-environments-with-non-stationary-dynamics-2105.03310</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-based-soft-actor-critic-for-environments-with-non-stationary-dynamics-2105.03310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-based-soft-actor-critic-for-environments-with-non-stationary-dynamics-2105.03310"/></url>
<url><loc>https://scifaro.com/en/abs/finite-volume-method-network-for-acceleration-of-unsteady-computational-fluid-dynamics-non-reacting-and-reacting-flows-2105.03332</loc><lastmod>2023-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-volume-method-network-for-acceleration-of-unsteady-computational-fluid-dynamics-non-reacting-and-reacting-flows-2105.03332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-volume-method-network-for-acceleration-of-unsteady-computational-fluid-dynamics-non-reacting-and-reacting-flows-2105.03332"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-by-pruning-a-case-study-on-bert-2105.03343</loc><lastmod>2021-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-by-pruning-a-case-study-on-bert-2105.03343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-by-pruning-a-case-study-on-bert-2105.03343"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-multi-agent-policy-optimization-with-adaptive-opponent-wise-rollouts-2105.03363</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-multi-agent-policy-optimization-with-adaptive-opponent-wise-rollouts-2105.03363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-multi-agent-policy-optimization-with-adaptive-opponent-wise-rollouts-2105.03363"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-graph-neural-networks-2105.03388</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-graph-neural-networks-2105.03388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-graph-neural-networks-2105.03388"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-convergence-adversarial-spheres-and-a-simple-remedy-2105.03491</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-convergence-adversarial-spheres-and-a-simple-remedy-2105.03491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-convergence-adversarial-spheres-and-a-simple-remedy-2105.03491"/></url>
<url><loc>https://scifaro.com/en/abs/pareto-optimal-quantized-resnet-is-mostly-4-bit-2105.03536</loc><lastmod>2023-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pareto-optimal-quantized-resnet-is-mostly-4-bit-2105.03536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pareto-optimal-quantized-resnet-is-mostly-4-bit-2105.03536"/></url>
<url><loc>https://scifaro.com/en/abs/apply-artificial-neural-network-to-solving-manpower-scheduling-problem-2105.03541</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/apply-artificial-neural-network-to-solving-manpower-scheduling-problem-2105.03541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/apply-artificial-neural-network-to-solving-manpower-scheduling-problem-2105.03541"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-and-contrastive-learning-for-click-fraud-detection-2105.03567</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-and-contrastive-learning-for-click-fraud-detection-2105.03567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-and-contrastive-learning-for-click-fraud-detection-2105.03567"/></url>
<url><loc>https://scifaro.com/en/abs/loss-tolerant-federated-learning-2105.03591</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-tolerant-federated-learning-2105.03591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-tolerant-federated-learning-2105.03591"/></url>
<url><loc>https://scifaro.com/en/abs/learning-stochastic-decision-trees-2105.03594</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-stochastic-decision-trees-2105.03594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-stochastic-decision-trees-2105.03594"/></url>
<url><loc>https://scifaro.com/en/abs/pure-exploration-bandit-problem-with-general-reward-functions-depending-on-full-distributions-2105.03598</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pure-exploration-bandit-problem-with-general-reward-functions-depending-on-full-distributions-2105.03598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pure-exploration-bandit-problem-with-general-reward-functions-depending-on-full-distributions-2105.03598"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-mixture-density-estimation-by-use-of-differentiable-tree-module-2105.03616</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-mixture-density-estimation-by-use-of-differentiable-tree-module-2105.03616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-mixture-density-estimation-by-use-of-differentiable-tree-module-2105.03616"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-train-your-program-a-probabilistic-programming-pattern-for-bayesian-learning-from-data-2105.03650</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-train-your-program-a-probabilistic-programming-pattern-for-bayesian-learning-from-data-2105.03650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-train-your-program-a-probabilistic-programming-pattern-for-bayesian-learning-from-data-2105.03650"/></url>
<url><loc>https://scifaro.com/en/abs/on-linear-interpolation-in-the-latent-space-of-deep-generative-models-2105.03663</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-linear-interpolation-in-the-latent-space-of-deep-generative-models-2105.03663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-linear-interpolation-in-the-latent-space-of-deep-generative-models-2105.03663"/></url>
<url><loc>https://scifaro.com/en/abs/the-tags-are-alright-robust-large-scale-rfid-clone-detection-through-federated-data-augmented-radio-fingerprinting-2105.03671</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-tags-are-alright-robust-large-scale-rfid-clone-detection-through-federated-data-augmented-radio-fingerprinting-2105.03671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-tags-are-alright-robust-large-scale-rfid-clone-detection-through-federated-data-augmented-radio-fingerprinting-2105.03671"/></url>
<url><loc>https://scifaro.com/en/abs/universal-online-convex-optimization-meets-second-order-bounds-2105.03681</loc><lastmod>2024-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-online-convex-optimization-meets-second-order-bounds-2105.03681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-online-convex-optimization-meets-second-order-bounds-2105.03681"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-ensemble-learning-and-transfer-learning-in-multimodal-data-analysis-by-adaptive-dimensionality-reduction-2105.03682</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-ensemble-learning-and-transfer-learning-in-multimodal-data-analysis-by-adaptive-dimensionality-reduction-2105.03682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-ensemble-learning-and-transfer-learning-in-multimodal-data-analysis-by-adaptive-dimensionality-reduction-2105.03682"/></url>
<url><loc>https://scifaro.com/en/abs/hamnet-conformation-guided-molecular-representation-with-hamiltonian-neural-networks-2105.03688</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamnet-conformation-guided-molecular-representation-with-hamiltonian-neural-networks-2105.03688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamnet-conformation-guided-molecular-representation-with-hamiltonian-neural-networks-2105.03688"/></url>
<url><loc>https://scifaro.com/en/abs/incompatibility-clustering-as-a-defense-against-backdoor-poisoning-attacks-2105.03692</loc><lastmod>2023-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incompatibility-clustering-as-a-defense-against-backdoor-poisoning-attacks-2105.03692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incompatibility-clustering-as-a-defense-against-backdoor-poisoning-attacks-2105.03692"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-programs-iib-architectural-universality-of-neural-tangent-kernel-training-dynamics-2105.03703</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-programs-iib-architectural-universality-of-neural-tangent-kernel-training-dynamics-2105.03703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-programs-iib-architectural-universality-of-neural-tangent-kernel-training-dynamics-2105.03703"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-neural-networks-with-logarithm-determinant-entropy-estimator-2105.03705</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-neural-networks-with-logarithm-determinant-entropy-estimator-2105.03705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-neural-networks-with-logarithm-determinant-entropy-estimator-2105.03705"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-of-constrained-spectral-clustering-under-graph-induced-fair-planted-partitions-2105.03714</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-of-constrained-spectral-clustering-under-graph-induced-fair-planted-partitions-2105.03714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-of-constrained-spectral-clustering-under-graph-induced-fair-planted-partitions-2105.03714"/></url>
<url><loc>https://scifaro.com/en/abs/generative-actor-critic-an-off-policy-algorithm-using-the-push-forward-model-2105.03733</loc><lastmod>2023-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-actor-critic-an-off-policy-algorithm-using-the-push-forward-model-2105.03733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-actor-critic-an-off-policy-algorithm-using-the-push-forward-model-2105.03733"/></url>
<url><loc>https://scifaro.com/en/abs/pim-dram-accelerating-machine-learning-workloads-using-processing-in-commodity-dram-2105.03736</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pim-dram-accelerating-machine-learning-workloads-using-processing-in-commodity-dram-2105.03736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pim-dram-accelerating-machine-learning-workloads-using-processing-in-commodity-dram-2105.03736"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-attraction-and-contrastive-repulsion-for-representation-learning-2105.03746</loc><lastmod>2023-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-attraction-and-contrastive-repulsion-for-representation-learning-2105.03746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-attraction-and-contrastive-repulsion-for-representation-learning-2105.03746"/></url>
<url><loc>https://scifaro.com/en/abs/rail-a-modular-framework-for-reinforcement-learning-based-adversarial-imitation-learning-2105.03756</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rail-a-modular-framework-for-reinforcement-learning-based-adversarial-imitation-learning-2105.03756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rail-a-modular-framework-for-reinforcement-learning-based-adversarial-imitation-learning-2105.03756"/></url>
<url><loc>https://scifaro.com/en/abs/metakernel-learning-variational-random-features-with-limited-labels-2105.03781</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metakernel-learning-variational-random-features-with-limited-labels-2105.03781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metakernel-learning-variational-random-features-with-limited-labels-2105.03781"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-game-theoretic-neural-optimizer-2105.03788</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-game-theoretic-neural-optimizer-2105.03788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-game-theoretic-neural-optimizer-2105.03788"/></url>
<url><loc>https://scifaro.com/en/abs/stability-and-generalization-of-stochastic-gradient-methods-for-minimax-problems-2105.03793</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-and-generalization-of-stochastic-gradient-methods-for-minimax-problems-2105.03793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-and-generalization-of-stochastic-gradient-methods-for-minimax-problems-2105.03793"/></url>
<url><loc>https://scifaro.com/en/abs/fine-grained-epsilon-margin-closed-form-stabilization-of-parametric-hawkes-processes-2105.03800</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fine-grained-epsilon-margin-closed-form-stabilization-of-parametric-hawkes-processes-2105.03800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fine-grained-epsilon-margin-closed-form-stabilization-of-parametric-hawkes-processes-2105.03800"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-risk-minimization-2105.03818</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-risk-minimization-2105.03818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-risk-minimization-2105.03818"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-deep-neural-network-ensembles-by-majority-voting-cum-meta-learning-scheme-2105.03819</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-deep-neural-network-ensembles-by-majority-voting-cum-meta-learning-scheme-2105.03819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-deep-neural-network-ensembles-by-majority-voting-cum-meta-learning-scheme-2105.03819"/></url>
<url><loc>https://scifaro.com/en/abs/graph-inference-representation-learning-graph-positional-embeddings-with-anchor-path-encoding-2105.03821</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-inference-representation-learning-graph-positional-embeddings-with-anchor-path-encoding-2105.03821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-inference-representation-learning-graph-positional-embeddings-with-anchor-path-encoding-2105.03821"/></url>
<url><loc>https://scifaro.com/en/abs/segmenting-hybrid-trajectories-using-latent-odes-2105.03835</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/segmenting-hybrid-trajectories-using-latent-odes-2105.03835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/segmenting-hybrid-trajectories-using-latent-odes-2105.03835"/></url>
<url><loc>https://scifaro.com/en/abs/hyperhypernetworks-for-the-design-of-antenna-arrays-2105.03838</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperhypernetworks-for-the-design-of-antenna-arrays-2105.03838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperhypernetworks-for-the-design-of-antenna-arrays-2105.03838"/></url>
<url><loc>https://scifaro.com/en/abs/the-temporal-dictionary-ensemble-tde-classifier-for-time-series-classification-2105.03841</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-temporal-dictionary-ensemble-tde-classifier-for-time-series-classification-2105.03841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-temporal-dictionary-ensemble-tde-classifier-for-time-series-classification-2105.03841"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-expert-trajectory-for-quantitative-trading-2105.03844</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-expert-trajectory-for-quantitative-trading-2105.03844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-expert-trajectory-for-quantitative-trading-2105.03844"/></url>
<url><loc>https://scifaro.com/en/abs/towards-dynamic-feature-selection-with-attention-to-assist-banking-customers-in-establishing-a-new-business-2105.03852</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-dynamic-feature-selection-with-attention-to-assist-banking-customers-in-establishing-a-new-business-2105.03852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-dynamic-feature-selection-with-attention-to-assist-banking-customers-in-establishing-a-new-business-2105.03852"/></url>
<url><loc>https://scifaro.com/en/abs/gmote-gaussian-based-minority-oversampling-technique-for-imbalanced-classification-adapting-tail-probability-of-outliers-2105.03855</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gmote-gaussian-based-minority-oversampling-technique-for-imbalanced-classification-adapting-tail-probability-of-outliers-2105.03855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gmote-gaussian-based-minority-oversampling-technique-for-imbalanced-classification-adapting-tail-probability-of-outliers-2105.03855"/></url>
<url><loc>https://scifaro.com/en/abs/non-recursive-graph-convolutional-networks-2105.03868</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-recursive-graph-convolutional-networks-2105.03868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-recursive-graph-convolutional-networks-2105.03868"/></url>
<url><loc>https://scifaro.com/en/abs/bounding-information-leakage-in-machine-learning-2105.03875</loc><lastmod>2023-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounding-information-leakage-in-machine-learning-2105.03875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounding-information-leakage-in-machine-learning-2105.03875"/></url>
<url><loc>https://scifaro.com/en/abs/directional-convergence-analysis-under-spherically-symmetric-distribution-2105.03879</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directional-convergence-analysis-under-spherically-symmetric-distribution-2105.03879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directional-convergence-analysis-under-spherically-symmetric-distribution-2105.03879"/></url>
<url><loc>https://scifaro.com/en/abs/learning-gradient-fields-for-molecular-conformation-generation-2105.03902</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-gradient-fields-for-molecular-conformation-generation-2105.03902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-gradient-fields-for-molecular-conformation-generation-2105.03902"/></url>
<url><loc>https://scifaro.com/en/abs/opening-the-blackbox-accelerating-neural-differential-equations-by-regularizing-internal-solver-heuristics-2105.03918</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opening-the-blackbox-accelerating-neural-differential-equations-by-regularizing-internal-solver-heuristics-2105.03918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opening-the-blackbox-accelerating-neural-differential-equations-by-regularizing-internal-solver-heuristics-2105.03918"/></url>
<url><loc>https://scifaro.com/en/abs/casa-bridging-the-gap-between-policy-improvement-and-policy-evaluation-with-conflict-averse-policy-iteration-2105.03923</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/casa-bridging-the-gap-between-policy-improvement-and-policy-evaluation-with-conflict-averse-policy-iteration-2105.03923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/casa-bridging-the-gap-between-policy-improvement-and-policy-evaluation-with-conflict-averse-policy-iteration-2105.03923"/></url>
<url><loc>https://scifaro.com/en/abs/which-transformer-architecture-fits-my-data-a-vocabulary-bottleneck-in-self-attention-2105.03928</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-transformer-architecture-fits-my-data-a-vocabulary-bottleneck-in-self-attention-2105.03928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-transformer-architecture-fits-my-data-a-vocabulary-bottleneck-in-self-attention-2105.03928"/></url>
<url><loc>https://scifaro.com/en/abs/automated-decision-based-adversarial-attacks-2105.03931</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-decision-based-adversarial-attacks-2105.03931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-decision-based-adversarial-attacks-2105.03931"/></url>
<url><loc>https://scifaro.com/en/abs/stronger-privacy-for-federated-collaborative-filtering-with-implicit-feedback-2105.03941</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stronger-privacy-for-federated-collaborative-filtering-with-implicit-feedback-2105.03941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stronger-privacy-for-federated-collaborative-filtering-with-implicit-feedback-2105.03941"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-multi-armed-bandits-with-control-variates-2105.03962</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-multi-armed-bandits-with-control-variates-2105.03962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-multi-armed-bandits-with-control-variates-2105.03962"/></url>
<url><loc>https://scifaro.com/en/abs/unit-ball-model-for-embedding-hierarchical-structures-in-the-complex-hyperbolic-space-2105.03966</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unit-ball-model-for-embedding-hierarchical-structures-in-the-complex-hyperbolic-space-2105.03966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unit-ball-model-for-embedding-hierarchical-structures-in-the-complex-hyperbolic-space-2105.03966"/></url>
<url><loc>https://scifaro.com/en/abs/efficiency-driven-hardware-optimization-for-adversarially-robust-neural-networks-2105.04003</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiency-driven-hardware-optimization-for-adversarially-robust-neural-networks-2105.04003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiency-driven-hardware-optimization-for-adversarially-robust-neural-networks-2105.04003"/></url>
<url><loc>https://scifaro.com/en/abs/rb-ccr-radial-based-combined-cleaning-and-resampling-algorithm-for-imbalanced-data-classification-2105.04009</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rb-ccr-radial-based-combined-cleaning-and-resampling-algorithm-for-imbalanced-data-classification-2105.04009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rb-ccr-radial-based-combined-cleaning-and-resampling-algorithm-for-imbalanced-data-classification-2105.04009"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-sorting-networks-for-scalable-sorting-and-ranking-supervision-2105.04019</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-sorting-networks-for-scalable-sorting-and-ranking-supervision-2105.04019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-sorting-networks-for-scalable-sorting-and-ranking-supervision-2105.04019"/></url>
<url><loc>https://scifaro.com/en/abs/the-modern-mathematics-of-deep-learning-2105.04026</loc><lastmod>2023-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-modern-mathematics-of-deep-learning-2105.04026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-modern-mathematics-of-deep-learning-2105.04026"/></url>
<url><loc>https://scifaro.com/en/abs/a-bit-more-bayesian-domain-invariant-learning-with-uncertainty-2105.04030</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bit-more-bayesian-domain-invariant-learning-with-uncertainty-2105.04030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bit-more-bayesian-domain-invariant-learning-with-uncertainty-2105.04030"/></url>
<url><loc>https://scifaro.com/en/abs/graph-attention-networks-with-positional-embeddings-2105.04037</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-attention-networks-with-positional-embeddings-2105.04037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-attention-networks-with-positional-embeddings-2105.04037"/></url>
<url><loc>https://scifaro.com/en/abs/aggregating-from-multiple-target-shifted-sources-2105.04051</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregating-from-multiple-target-shifted-sources-2105.04051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregating-from-multiple-target-shifted-sources-2105.04051"/></url>
<url><loc>https://scifaro.com/en/abs/meteorological-and-human-mobility-data-on-predicting-covid-19-cases-by-a-novel-hybrid-decomposition-method-with-anomaly-detection-analysis-a-case-study-in-the-capitals-of-brazil-2105.04072</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meteorological-and-human-mobility-data-on-predicting-covid-19-cases-by-a-novel-hybrid-decomposition-method-with-anomaly-detection-analysis-a-case-study-in-the-capitals-of-brazil-2105.04072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meteorological-and-human-mobility-data-on-predicting-covid-19-cases-by-a-novel-hybrid-decomposition-method-with-anomaly-detection-analysis-a-case-study-in-the-capitals-of-brazil-2105.04072"/></url>
<url><loc>https://scifaro.com/en/abs/a-coupled-random-projection-approach-to-large-scale-canonical-polyadic-decomposition-2105.04084</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-coupled-random-projection-approach-to-large-scale-canonical-polyadic-decomposition-2105.04084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-coupled-random-projection-approach-to-large-scale-canonical-polyadic-decomposition-2105.04084"/></url>
<url><loc>https://scifaro.com/en/abs/z-gcnets-time-zigzags-at-graph-convolutional-networks-for-time-series-forecasting-2105.04100</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/z-gcnets-time-zigzags-at-graph-convolutional-networks-for-time-series-forecasting-2105.04100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/z-gcnets-time-zigzags-at-graph-convolutional-networks-for-time-series-forecasting-2105.04100"/></url>
<url><loc>https://scifaro.com/en/abs/bim-hyperreality-data-synthesis-using-bim-and-hyperrealistic-rendering-for-deep-learning-2105.04103</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bim-hyperreality-data-synthesis-using-bim-and-hyperrealistic-rendering-for-deep-learning-2105.04103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bim-hyperreality-data-synthesis-using-bim-and-hyperrealistic-rendering-for-deep-learning-2105.04103"/></url>
<url><loc>https://scifaro.com/en/abs/appealnet-an-efficient-and-highly-accurate-edge-cloud-collaborative-architecture-for-dnn-inference-2105.04104</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/appealnet-an-efficient-and-highly-accurate-edge-cloud-collaborative-architecture-for-dnn-inference-2105.04104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/appealnet-an-efficient-and-highly-accurate-edge-cloud-collaborative-architecture-for-dnn-inference-2105.04104"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-free-gradient-temporal-difference-learning-2105.04129</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-free-gradient-temporal-difference-learning-2105.04129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-free-gradient-temporal-difference-learning-2105.04129"/></url>
<url><loc>https://scifaro.com/en/abs/transitioning-from-real-to-synthetic-data-quantifying-the-bias-in-model-2105.04144</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transitioning-from-real-to-synthetic-data-quantifying-the-bias-in-model-2105.04144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transitioning-from-real-to-synthetic-data-quantifying-the-bias-in-model-2105.04144"/></url>
<url><loc>https://scifaro.com/en/abs/slashing-communication-traffic-in-federated-learning-by-transmitting-clustered-model-updates-2105.04153</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slashing-communication-traffic-in-federated-learning-by-transmitting-clustered-model-updates-2105.04153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slashing-communication-traffic-in-federated-learning-by-transmitting-clustered-model-updates-2105.04153"/></url>
<url><loc>https://scifaro.com/en/abs/autodebias-learning-to-debias-for-recommendation-2105.04170</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autodebias-learning-to-debias-for-recommendation-2105.04170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autodebias-learning-to-debias-for-recommendation-2105.04170"/></url>
<url><loc>https://scifaro.com/en/abs/rate-distortion-analysis-of-minimum-excess-risk-in-bayesian-learning-2105.04180</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rate-distortion-analysis-of-minimum-excess-risk-in-bayesian-learning-2105.04180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rate-distortion-analysis-of-minimum-excess-risk-in-bayesian-learning-2105.04180"/></url>
<url><loc>https://scifaro.com/en/abs/robust-graph-learning-under-wasserstein-uncertainty-2105.04210</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-graph-learning-under-wasserstein-uncertainty-2105.04210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-graph-learning-under-wasserstein-uncertainty-2105.04210"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-elasticity-in-tensor-ranks-for-compressing-neural-networks-2105.04218</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-elasticity-in-tensor-ranks-for-compressing-neural-networks-2105.04218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-elasticity-in-tensor-ranks-for-compressing-neural-networks-2105.04218"/></url>
<url><loc>https://scifaro.com/en/abs/de-homogenization-using-convolutional-neural-networks-2105.04232</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/de-homogenization-using-convolutional-neural-networks-2105.04232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/de-homogenization-using-convolutional-neural-networks-2105.04232"/></url>
<url><loc>https://scifaro.com/en/abs/a-rigorous-introduction-to-linear-models-2105.04240</loc><lastmod>2025-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-rigorous-introduction-to-linear-models-2105.04240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-rigorous-introduction-to-linear-models-2105.04240"/></url>
<url><loc>https://scifaro.com/en/abs/in-hindsight-quantization-range-estimation-for-quantized-training-2105.04246</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-hindsight-quantization-range-estimation-for-quantized-training-2105.04246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-hindsight-quantization-range-estimation-for-quantized-training-2105.04246"/></url>
<url><loc>https://scifaro.com/en/abs/expressivity-of-parameterized-and-data-driven-representations-in-quality-diversity-search-2105.04247</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expressivity-of-parameterized-and-data-driven-representations-in-quality-diversity-search-2105.04247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expressivity-of-parameterized-and-data-driven-representations-in-quality-diversity-search-2105.04247"/></url>
<url><loc>https://scifaro.com/en/abs/accounting-for-model-uncertainty-in-algorithmic-discrimination-2105.04249</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accounting-for-model-uncertainty-in-algorithmic-discrimination-2105.04249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accounting-for-model-uncertainty-in-algorithmic-discrimination-2105.04249"/></url>
<url><loc>https://scifaro.com/en/abs/loss-aversively-fair-classification-2105.04273</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-aversively-fair-classification-2105.04273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-aversively-fair-classification-2105.04273"/></url>
<url><loc>https://scifaro.com/en/abs/do-concept-bottleneck-models-learn-as-intended-2105.04289</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-concept-bottleneck-models-learn-as-intended-2105.04289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-concept-bottleneck-models-learn-as-intended-2105.04289"/></url>
<url><loc>https://scifaro.com/en/abs/a-bregman-learning-framework-for-sparse-neural-networks-2105.04319</loc><lastmod>2022-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bregman-learning-framework-for-sparse-neural-networks-2105.04319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bregman-learning-framework-for-sparse-neural-networks-2105.04319"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimistic-optimisation-with-exponentially-decaying-regret-2105.04332</loc><lastmod>2026-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimistic-optimisation-with-exponentially-decaying-regret-2105.04332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimistic-optimisation-with-exponentially-decaying-regret-2105.04332"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-multi-armed-bandits-for-resource-allocation-2105.04373</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-multi-armed-bandits-for-resource-allocation-2105.04373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-multi-armed-bandits-for-resource-allocation-2105.04373"/></url>
<url><loc>https://scifaro.com/en/abs/awcd-an-efficient-point-cloud-processing-approach-via-wasserstein-curvature-2105.04402</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/awcd-an-efficient-point-cloud-processing-approach-via-wasserstein-curvature-2105.04402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/awcd-an-efficient-point-cloud-processing-approach-via-wasserstein-curvature-2105.04402"/></url>
<url><loc>https://scifaro.com/en/abs/a-critical-review-of-information-bottleneck-theory-and-its-applications-to-deep-learning-2105.04405</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-critical-review-of-information-bottleneck-theory-and-its-applications-to-deep-learning-2105.04405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-critical-review-of-information-bottleneck-theory-and-its-applications-to-deep-learning-2105.04405"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-intensive-care-unit-length-of-stay-and-mortality-using-patient-vital-signs-machine-learning-model-development-and-validation-2105.04414</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-intensive-care-unit-length-of-stay-and-mortality-using-patient-vital-signs-machine-learning-model-development-and-validation-2105.04414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-intensive-care-unit-length-of-stay-and-mortality-using-patient-vital-signs-machine-learning-model-development-and-validation-2105.04414"/></url>
<url><loc>https://scifaro.com/en/abs/mtnet-a-multi-task-neural-network-for-on-field-calibration-of-low-cost-air-monitoring-sensors-2105.04425</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mtnet-a-multi-task-neural-network-for-on-field-calibration-of-low-cost-air-monitoring-sensors-2105.04425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mtnet-a-multi-task-neural-network-for-on-field-calibration-of-low-cost-air-monitoring-sensors-2105.04425"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-via-bit-level-information-preserving-2105.04444</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-via-bit-level-information-preserving-2105.04444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-via-bit-level-information-preserving-2105.04444"/></url>
<url><loc>https://scifaro.com/en/abs/natural-posterior-network-deep-bayesian-uncertainty-for-exponential-family-distributions-2105.04471</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-posterior-network-deep-bayesian-uncertainty-for-exponential-family-distributions-2105.04471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-posterior-network-deep-bayesian-uncertainty-for-exponential-family-distributions-2105.04471"/></url>
<url><loc>https://scifaro.com/en/abs/graph-feature-gating-networks-2105.04493</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-feature-gating-networks-2105.04493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-feature-gating-networks-2105.04493"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-jensen-shannon-divergence-loss-for-learning-with-noisy-labels-2105.04522</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-jensen-shannon-divergence-loss-for-learning-with-noisy-labels-2105.04522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-jensen-shannon-divergence-loss-for-learning-with-noisy-labels-2105.04522"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-large-scale-real-time-gnn-inference-using-channel-pruning-2105.04528</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-large-scale-real-time-gnn-inference-using-channel-pruning-2105.04528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-large-scale-real-time-gnn-inference-using-channel-pruning-2105.04528"/></url>
<url><loc>https://scifaro.com/en/abs/improving-fairness-of-ai-systems-with-lossless-de-biasing-2105.04534</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-fairness-of-ai-systems-with-lossless-de-biasing-2105.04534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-fairness-of-ai-systems-with-lossless-de-biasing-2105.04534"/></url>
<url><loc>https://scifaro.com/en/abs/learning-high-dimensional-distributions-with-latent-neural-fokker-planck-kernels-2105.04538</loc><lastmod>2021-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-high-dimensional-distributions-with-latent-neural-fokker-planck-kernels-2105.04538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-high-dimensional-distributions-with-latent-neural-fokker-planck-kernels-2105.04538"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-causal-learning-with-kernels-two-stage-estimation-and-moment-restriction-2105.04544</loc><lastmod>2023-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-causal-learning-with-kernels-two-stage-estimation-and-moment-restriction-2105.04544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-causal-learning-with-kernels-two-stage-estimation-and-moment-restriction-2105.04544"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-of-graph-neural-networks-implicit-acceleration-by-skip-connections-and-more-depth-2105.04550</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-of-graph-neural-networks-implicit-acceleration-by-skip-connections-and-more-depth-2105.04550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-of-graph-neural-networks-implicit-acceleration-by-skip-connections-and-more-depth-2105.04550"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-transferrable-deep-learning-with-membership-mappings-2105.04615</loc><lastmod>2022-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-transferrable-deep-learning-with-membership-mappings-2105.04615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-transferrable-deep-learning-with-membership-mappings-2105.04615"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-in-medicine-and-in-health-policy-a-summary-2105.04655</loc><lastmod>2022-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-in-medicine-and-in-health-policy-a-summary-2105.04655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-in-medicine-and-in-health-policy-a-summary-2105.04655"/></url>
<url><loc>https://scifaro.com/en/abs/value-iteration-in-continuous-actions-states-and-time-2105.04682</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/value-iteration-in-continuous-actions-states-and-time-2105.04682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/value-iteration-in-continuous-actions-states-and-time-2105.04682"/></url>
<url><loc>https://scifaro.com/en/abs/deep-bandits-show-off-simple-and-efficient-exploration-with-deep-networks-2105.04683</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-bandits-show-off-simple-and-efficient-exploration-with-deep-networks-2105.04683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-bandits-show-off-simple-and-efficient-exploration-with-deep-networks-2105.04683"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-policy-transfer-in-reinforcement-learning-2105.04699</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-policy-transfer-in-reinforcement-learning-2105.04699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-policy-transfer-in-reinforcement-learning-2105.04699"/></url>
<url><loc>https://scifaro.com/en/abs/accountable-error-characterization-2105.04707</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accountable-error-characterization-2105.04707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accountable-error-characterization-2105.04707"/></url>
<url><loc>https://scifaro.com/en/abs/lightweight-distributed-gaussian-process-regression-for-online-machine-learning-2105.04738</loc><lastmod>2023-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lightweight-distributed-gaussian-process-regression-for-online-machine-learning-2105.04738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lightweight-distributed-gaussian-process-regression-for-online-machine-learning-2105.04738"/></url>
<url><loc>https://scifaro.com/en/abs/deep-convolutional-neural-network-applied-to-electroencephalography-raw-data-vs-spectral-features-2105.04762</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-convolutional-neural-network-applied-to-electroencephalography-raw-data-vs-spectral-features-2105.04762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-convolutional-neural-network-applied-to-electroencephalography-raw-data-vs-spectral-features-2105.04762"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-personalised-item-ranking-through-parametric-density-estimation-2105.04769</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-personalised-item-ranking-through-parametric-density-estimation-2105.04769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-personalised-item-ranking-through-parametric-density-estimation-2105.04769"/></url>
<url><loc>https://scifaro.com/en/abs/ebm-fold-fully-differentiable-protein-folding-powered-by-energy-based-models-2105.04771</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ebm-fold-fully-differentiable-protein-folding-powered-by-energy-based-models-2105.04771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ebm-fold-fully-differentiable-protein-folding-powered-by-energy-based-models-2105.04771"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-graph-based-approach-for-behavioural-entity-classification-2105.04798</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-graph-based-approach-for-behavioural-entity-classification-2105.04798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-graph-based-approach-for-behavioural-entity-classification-2105.04798"/></url>
<url><loc>https://scifaro.com/en/abs/on-characterizing-gan-convergence-through-proximal-duality-gap-2105.04801</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-characterizing-gan-convergence-through-proximal-duality-gap-2105.04801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-characterizing-gan-convergence-through-proximal-duality-gap-2105.04801"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-sparse-linear-layers-for-debuggable-deep-networks-2105.04857</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-sparse-linear-layers-for-debuggable-deep-networks-2105.04857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-sparse-linear-layers-for-debuggable-deep-networks-2105.04857"/></url>
<url><loc>https://scifaro.com/en/abs/discovery-of-nonlinear-dynamical-systems-using-a-runge-kutta-inspired-dictionary-based-sparse-regression-approach-2105.04869</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovery-of-nonlinear-dynamical-systems-using-a-runge-kutta-inspired-dictionary-based-sparse-regression-approach-2105.04869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovery-of-nonlinear-dynamical-systems-using-a-runge-kutta-inspired-dictionary-based-sparse-regression-approach-2105.04869"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-neural-architecture-search-with-operation-embeddings-2105.04885</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-neural-architecture-search-with-operation-embeddings-2105.04885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-neural-architecture-search-with-operation-embeddings-2105.04885"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-rnns-based-transformers-maddpg-for-mixed-cooperative-competitive-environments-2105.04888</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-rnns-based-transformers-maddpg-for-mixed-cooperative-competitive-environments-2105.04888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-rnns-based-transformers-maddpg-for-mixed-cooperative-competitive-environments-2105.04888"/></url>
<url><loc>https://scifaro.com/en/abs/using-deep-neural-networks-to-predict-and-improve-the-performance-of-polar-codes-2105.04922</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-deep-neural-networks-to-predict-and-improve-the-performance-of-polar-codes-2105.04922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-deep-neural-networks-to-predict-and-improve-the-performance-of-polar-codes-2105.04922"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-gene-disease-associations-with-knowledge-graph-embeddings-over-multiple-ontologies-2105.04944</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-gene-disease-associations-with-knowledge-graph-embeddings-over-multiple-ontologies-2105.04944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-gene-disease-associations-with-knowledge-graph-embeddings-over-multiple-ontologies-2105.04944"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-train-recurrent-neural-networks-for-interpretable-multi-way-financial-forecasting-2105.04983</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-train-recurrent-neural-networks-for-interpretable-multi-way-financial-forecasting-2105.04983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-train-recurrent-neural-networks-for-interpretable-multi-way-financial-forecasting-2105.04983"/></url>
<url><loc>https://scifaro.com/en/abs/graph-theory-for-metro-traffic-modelling-2105.04991</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-theory-for-metro-traffic-modelling-2105.04991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-theory-for-metro-traffic-modelling-2105.04991"/></url>
<url><loc>https://scifaro.com/en/abs/fl-ntk-a-neural-tangent-kernel-based-framework-for-federated-learning-convergence-analysis-2105.05001</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fl-ntk-a-neural-tangent-kernel-based-framework-for-federated-learning-convergence-analysis-2105.05001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fl-ntk-a-neural-tangent-kernel-based-framework-for-federated-learning-convergence-analysis-2105.05001"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-and-reweighting-the-univariate-losses-for-multi-label-ranking-consistency-and-generalization-2105.05026</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-and-reweighting-the-univariate-losses-for-multi-label-ranking-consistency-and-generalization-2105.05026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-and-reweighting-the-univariate-losses-for-multi-label-ranking-consistency-and-generalization-2105.05026"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-attack-based-on-random-warm-restart-mechanism-and-improved-nesterov-momentum-2105.05029</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-attack-based-on-random-warm-restart-mechanism-and-improved-nesterov-momentum-2105.05029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-attack-based-on-random-warm-restart-mechanism-and-improved-nesterov-momentum-2105.05029"/></url>
<url><loc>https://scifaro.com/en/abs/biknn-anomaly-estimation-in-bilateral-domains-with-k-nearest-neighbors-2105.05037</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biknn-anomaly-estimation-in-bilateral-domains-with-k-nearest-neighbors-2105.05037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biknn-anomaly-estimation-in-bilateral-domains-with-k-nearest-neighbors-2105.05037"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-metric-learning-a-deep-resurrection-2105.05061</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-metric-learning-a-deep-resurrection-2105.05061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-metric-learning-a-deep-resurrection-2105.05061"/></url>
<url><loc>https://scifaro.com/en/abs/a-reinforcement-learning-environment-for-multi-service-uav-enabled-wireless-systems-2105.05094</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reinforcement-learning-environment-for-multi-service-uav-enabled-wireless-systems-2105.05094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reinforcement-learning-environment-for-multi-service-uav-enabled-wireless-systems-2105.05094"/></url>
<url><loc>https://scifaro.com/en/abs/tag-task-based-accumulated-gradients-for-lifelong-learning-2105.05155</loc><lastmod>2022-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tag-task-based-accumulated-gradients-for-lifelong-learning-2105.05155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tag-task-based-accumulated-gradients-for-lifelong-learning-2105.05155"/></url>
<url><loc>https://scifaro.com/en/abs/factoring-multidimensional-data-to-create-a-sophisticated-bayes-classifier-2105.05181</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factoring-multidimensional-data-to-create-a-sophisticated-bayes-classifier-2105.05181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factoring-multidimensional-data-to-create-a-sophisticated-bayes-classifier-2105.05181"/></url>
<url><loc>https://scifaro.com/en/abs/performance-comparison-of-different-machine-learning-algorithms-on-the-prediction-of-wind-turbine-power-generation-2105.05197</loc><lastmod>2025-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-comparison-of-different-machine-learning-algorithms-on-the-prediction-of-wind-turbine-power-generation-2105.05197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-comparison-of-different-machine-learning-algorithms-on-the-prediction-of-wind-turbine-power-generation-2105.05197"/></url>
<url><loc>https://scifaro.com/en/abs/two-novel-feature-selection-algorithms-based-on-crowding-distance-2105.05212</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-novel-feature-selection-algorithms-based-on-crowding-distance-2105.05212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-novel-feature-selection-algorithms-based-on-crowding-distance-2105.05212"/></url>
<url><loc>https://scifaro.com/en/abs/global-convergence-of-three-layer-neural-networks-in-the-mean-field-regime-2105.05228</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convergence-of-three-layer-neural-networks-in-the-mean-field-regime-2105.05228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convergence-of-three-layer-neural-networks-in-the-mean-field-regime-2105.05228"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-models-beat-gans-on-image-synthesis-2105.05233</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-models-beat-gans-on-image-synthesis-2105.05233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-models-beat-gans-on-image-synthesis-2105.05233"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-formulation-of-causal-digital-twin-kalman-filter-algorithm-2105.05236</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-formulation-of-causal-digital-twin-kalman-filter-algorithm-2105.05236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-formulation-of-causal-digital-twin-kalman-filter-algorithm-2105.05236"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-normalisation-for-deep-reinforcement-learning-an-optimisation-perspective-2105.05246</loc><lastmod>2021-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-normalisation-for-deep-reinforcement-learning-an-optimisation-perspective-2105.05246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-normalisation-for-deep-reinforcement-learning-an-optimisation-perspective-2105.05246"/></url>
<url><loc>https://scifaro.com/en/abs/hermitian-symmetric-spaces-for-graph-embeddings-2105.05275</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hermitian-symmetric-spaces-for-graph-embeddings-2105.05275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hermitian-symmetric-spaces-for-graph-embeddings-2105.05275"/></url>
<url><loc>https://scifaro.com/en/abs/a-computational-framework-for-modeling-complex-sensor-network-data-using-graph-signal-processing-and-graph-neural-networks-in-structural-health-monitoring-2105.05316</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-computational-framework-for-modeling-complex-sensor-network-data-using-graph-signal-processing-and-graph-neural-networks-in-structural-health-monitoring-2105.05316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-computational-framework-for-modeling-complex-sensor-network-data-using-graph-signal-processing-and-graph-neural-networks-in-structural-health-monitoring-2105.05316"/></url>
<url><loc>https://scifaro.com/en/abs/multi-version-tensor-completion-for-time-delayed-spatio-temporal-data-2105.05326</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-version-tensor-completion-for-time-delayed-spatio-temporal-data-2105.05326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-version-tensor-completion-for-time-delayed-spatio-temporal-data-2105.05326"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-interpretability-and-explainability-for-feature-selection-2105.05328</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-interpretability-and-explainability-for-feature-selection-2105.05328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-interpretability-and-explainability-for-feature-selection-2105.05328"/></url>
<url><loc>https://scifaro.com/en/abs/return-based-scaling-yet-another-normalisation-trick-for-deep-rl-2105.05347</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/return-based-scaling-yet-another-normalisation-trick-for-deep-rl-2105.05347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/return-based-scaling-yet-another-normalisation-trick-for-deep-rl-2105.05347"/></url>
<url><loc>https://scifaro.com/en/abs/accuracy-privacy-trade-off-in-deep-ensemble-a-membership-inference-perspective-2105.05381</loc><lastmod>2023-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accuracy-privacy-trade-off-in-deep-ensemble-a-membership-inference-perspective-2105.05381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accuracy-privacy-trade-off-in-deep-ensemble-a-membership-inference-perspective-2105.05381"/></url>
<url><loc>https://scifaro.com/en/abs/homogeneous-vector-bundles-and-g-equivariant-convolutional-neural-networks-2105.05400</loc><lastmod>2022-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/homogeneous-vector-bundles-and-g-equivariant-convolutional-neural-networks-2105.05400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/homogeneous-vector-bundles-and-g-equivariant-convolutional-neural-networks-2105.05400"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-projection-neural-network-for-ell-1-regularized-logistic-regression-2105.05449</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-projection-neural-network-for-ell-1-regularized-logistic-regression-2105.05449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-projection-neural-network-for-ell-1-regularized-logistic-regression-2105.05449"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-graph-learning-from-smooth-signals-under-moment-uncertainty-2105.05458</loc><lastmod>2023-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-graph-learning-from-smooth-signals-under-moment-uncertainty-2105.05458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-graph-learning-from-smooth-signals-under-moment-uncertainty-2105.05458"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-performance-analysis-towards-offline-reinforcement-learning-a-dataset-perspective-2105.05473</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-performance-analysis-towards-offline-reinforcement-learning-a-dataset-perspective-2105.05473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-performance-analysis-towards-offline-reinforcement-learning-a-dataset-perspective-2105.05473"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-reproducibility-of-fully-convolutional-neural-networks-for-modeling-time-space-evolving-physical-systems-2105.05482</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-reproducibility-of-fully-convolutional-neural-networks-for-modeling-time-space-evolving-physical-systems-2105.05482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-reproducibility-of-fully-convolutional-neural-networks-for-modeling-time-space-evolving-physical-systems-2105.05482"/></url>
<url><loc>https://scifaro.com/en/abs/lipbab-computing-exact-lipschitz-constant-of-relu-networks-2105.05495</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipbab-computing-exact-lipschitz-constant-of-relu-networks-2105.05495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipbab-computing-exact-lipschitz-constant-of-relu-networks-2105.05495"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-experiment-on-deep-learning-models-for-predicting-traffic-data-2105.05504</loc><lastmod>2022-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-experiment-on-deep-learning-models-for-predicting-traffic-data-2105.05504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-experiment-on-deep-learning-models-for-predicting-traffic-data-2105.05504"/></url>
<url><loc>https://scifaro.com/en/abs/winograd-algorithm-for-addernet-2105.05530</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/winograd-algorithm-for-addernet-2105.05530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/winograd-algorithm-for-addernet-2105.05530"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-framework-for-experimental-design-using-bayesian-evidential-learning-the-case-of-wellhead-protection-area-2105.05539</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-framework-for-experimental-design-using-bayesian-evidential-learning-the-case-of-wellhead-protection-area-2105.05539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-framework-for-experimental-design-using-bayesian-evidential-learning-the-case-of-wellhead-protection-area-2105.05539"/></url>
<url><loc>https://scifaro.com/en/abs/principal-components-bias-in-over-parameterized-linear-models-and-its-manifestation-in-deep-neural-networks-2105.05553</loc><lastmod>2023-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principal-components-bias-in-over-parameterized-linear-models-and-its-manifestation-in-deep-neural-networks-2105.05553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principal-components-bias-in-over-parameterized-linear-models-and-its-manifestation-in-deep-neural-networks-2105.05553"/></url>
<url><loc>https://scifaro.com/en/abs/robust-learning-of-fixed-structure-bayesian-networks-in-nearly-linear-time-2105.05555</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-learning-of-fixed-structure-bayesian-networks-in-nearly-linear-time-2105.05555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-learning-of-fixed-structure-bayesian-networks-in-nearly-linear-time-2105.05555"/></url>
<url><loc>https://scifaro.com/en/abs/learning-uncertainty-with-artificial-neural-networks-for-improved-remaining-time-prediction-of-business-processes-2105.05559</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-uncertainty-with-artificial-neural-networks-for-improved-remaining-time-prediction-of-business-processes-2105.05559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-uncertainty-with-artificial-neural-networks-for-improved-remaining-time-prediction-of-business-processes-2105.05559"/></url>
<url><loc>https://scifaro.com/en/abs/evading-the-simplicity-bias-training-a-diverse-set-of-models-discovers-solutions-with-superior-ood-generalization-2105.05612</loc><lastmod>2022-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evading-the-simplicity-bias-training-a-diverse-set-of-models-discovers-solutions-with-superior-ood-generalization-2105.05612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evading-the-simplicity-bias-training-a-diverse-set-of-models-discovers-solutions-with-superior-ood-generalization-2105.05612"/></url>
<url><loc>https://scifaro.com/en/abs/on-risk-based-active-learning-for-structural-health-monitoring-2105.05622</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-risk-based-active-learning-for-structural-health-monitoring-2105.05622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-risk-based-active-learning-for-structural-health-monitoring-2105.05622"/></url>
<url><loc>https://scifaro.com/en/abs/cross-modal-and-multimodal-data-analysis-based-on-functional-mapping-of-spectral-descriptors-and-manifold-regularization-2105.05631</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-modal-and-multimodal-data-analysis-based-on-functional-mapping-of-spectral-descriptors-and-manifold-regularization-2105.05631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-modal-and-multimodal-data-analysis-based-on-functional-mapping-of-spectral-descriptors-and-manifold-regularization-2105.05631"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-classification-of-games-using-support-vector-machine-2105.05674</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-classification-of-games-using-support-vector-machine-2105.05674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-classification-of-games-using-support-vector-machine-2105.05674"/></url>
<url><loc>https://scifaro.com/en/abs/multi-scale-contrastive-siamese-networks-for-self-supervised-graph-representation-learning-2105.05682</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-scale-contrastive-siamese-networks-for-self-supervised-graph-representation-learning-2105.05682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-scale-contrastive-siamese-networks-for-self-supervised-graph-representation-learning-2105.05682"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-learning-framework-for-federated-xgboost-using-secret-sharing-and-distributed-optimization-2105.05717</loc><lastmod>2025-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-learning-framework-for-federated-xgboost-using-secret-sharing-and-distributed-optimization-2105.05717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-learning-framework-for-federated-xgboost-using-secret-sharing-and-distributed-optimization-2105.05717"/></url>
<url><loc>https://scifaro.com/en/abs/early-prediction-of-respiratory-failure-in-the-intensive-care-unit-2105.05728</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-prediction-of-respiratory-failure-in-the-intensive-care-unit-2105.05728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-prediction-of-respiratory-failure-in-the-intensive-care-unit-2105.05728"/></url>
<url><loc>https://scifaro.com/en/abs/the-featurecloud-ai-store-for-federated-learning-in-biomedicine-and-beyond-2105.05734</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-featurecloud-ai-store-for-federated-learning-in-biomedicine-and-beyond-2105.05734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-featurecloud-ai-store-for-federated-learning-in-biomedicine-and-beyond-2105.05734"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoding-under-normalization-constraints-2105.05735</loc><lastmod>2023-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoding-under-normalization-constraints-2105.05735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoding-under-normalization-constraints-2105.05735"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-sampling-and-labeling-bias-for-learning-in-large-output-spaces-2105.05736</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-sampling-and-labeling-bias-for-learning-in-large-output-spaces-2105.05736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-sampling-and-labeling-bias-for-learning-in-large-output-spaces-2105.05736"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-similarity-of-representations-in-model-agnostic-meta-learning-2105.05757</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-similarity-of-representations-in-model-agnostic-meta-learning-2105.05757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-similarity-of-representations-in-model-agnostic-meta-learning-2105.05757"/></url>
<url><loc>https://scifaro.com/en/abs/deemd-drug-efficacy-estimation-against-sars-cov-2-based-on-cell-morphology-with-deep-multiple-instance-learning-2105.05758</loc><lastmod>2022-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deemd-drug-efficacy-estimation-against-sars-cov-2-based-on-cell-morphology-with-deep-multiple-instance-learning-2105.05758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deemd-drug-efficacy-estimation-against-sars-cov-2-based-on-cell-morphology-with-deep-multiple-instance-learning-2105.05758"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-experimental-design-and-kernel-bandits-2105.05806</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-experimental-design-and-kernel-bandits-2105.05806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-experimental-design-and-kernel-bandits-2105.05806"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-reinforcement-learning-in-dynamic-channel-access-and-power-control-2105.05817</loc><lastmod>2021-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-reinforcement-learning-in-dynamic-channel-access-and-power-control-2105.05817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-reinforcement-learning-in-dynamic-channel-access-and-power-control-2105.05817"/></url>
<url><loc>https://scifaro.com/en/abs/a-graph-neural-network-approach-for-product-relationship-prediction-2105.05881</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-graph-neural-network-approach-for-product-relationship-prediction-2105.05881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-graph-neural-network-approach-for-product-relationship-prediction-2105.05881"/></url>
<url><loc>https://scifaro.com/en/abs/clustered-sampling-low-variance-and-improved-representativity-for-clients-selection-in-federated-learning-2105.05883</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustered-sampling-low-variance-and-improved-representativity-for-clients-selection-in-federated-learning-2105.05883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustered-sampling-low-variance-and-improved-representativity-for-clients-selection-in-federated-learning-2105.05883"/></url>
<url><loc>https://scifaro.com/en/abs/a-function-approximation-approach-to-the-prediction-of-blood-glucose-levels-2105.05893</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-function-approximation-approach-to-the-prediction-of-blood-glucose-levels-2105.05893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-function-approximation-approach-to-the-prediction-of-blood-glucose-levels-2105.05893"/></url>
<url><loc>https://scifaro.com/en/abs/latent-event-predictive-encodings-through-counterfactual-regularization-2105.05894</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-event-predictive-encodings-through-counterfactual-regularization-2105.05894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-event-predictive-encodings-through-counterfactual-regularization-2105.05894"/></url>
<url><loc>https://scifaro.com/en/abs/the-power-of-the-weisfeiler-leman-algorithm-for-machine-learning-with-graphs-2105.05911</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-power-of-the-weisfeiler-leman-algorithm-for-machine-learning-with-graphs-2105.05911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-power-of-the-weisfeiler-leman-algorithm-for-machine-learning-with-graphs-2105.05911"/></url>
<url><loc>https://scifaro.com/en/abs/dynamical-isometry-the-missing-ingredient-for-neural-network-pruning-2105.05916</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamical-isometry-the-missing-ingredient-for-neural-network-pruning-2105.05916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamical-isometry-the-missing-ingredient-for-neural-network-pruning-2105.05916"/></url>
<url><loc>https://scifaro.com/en/abs/the-effects-of-regularisation-on-rnn-models-for-time-series-forecasting-covid-19-as-an-example-2105.05932</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effects-of-regularisation-on-rnn-models-for-time-series-forecasting-covid-19-as-an-example-2105.05932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effects-of-regularisation-on-rnn-models-for-time-series-forecasting-covid-19-as-an-example-2105.05932"/></url>
<url><loc>https://scifaro.com/en/abs/slower-is-better-revisiting-the-forgetting-mechanism-in-lstm-for-slower-information-decay-2105.05944</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slower-is-better-revisiting-the-forgetting-mechanism-in-lstm-for-slower-information-decay-2105.05944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slower-is-better-revisiting-the-forgetting-mechanism-in-lstm-for-slower-information-decay-2105.05944"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-for-inconsistent-cluster-detection-in-incremental-entity-resolution-2105.05957</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-for-inconsistent-cluster-detection-in-incremental-entity-resolution-2105.05957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-for-inconsistent-cluster-detection-in-incremental-entity-resolution-2105.05957"/></url>
<url><loc>https://scifaro.com/en/abs/an-open-source-tool-for-classification-models-in-resource-constrained-hardware-2105.05983</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-open-source-tool-for-classification-models-in-resource-constrained-hardware-2105.05983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-open-source-tool-for-classification-models-in-resource-constrained-hardware-2105.05983"/></url>
<url><loc>https://scifaro.com/en/abs/lightweight-compression-of-neural-network-feature-tensors-for-collaborative-intelligence-2105.06002</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lightweight-compression-of-neural-network-feature-tensors-for-collaborative-intelligence-2105.06002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lightweight-compression-of-neural-network-feature-tensors-for-collaborative-intelligence-2105.06002"/></url>
<url><loc>https://scifaro.com/en/abs/why-does-multi-epoch-training-help-2105.06015</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-does-multi-epoch-training-help-2105.06015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-does-multi-epoch-training-help-2105.06015"/></url>
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<url><loc>https://scifaro.com/en/abs/machine-learning-based-investigation-on-classifying-binary-and-multiclass-behavior-outcomes-of-children-with-pimd-smid-2105.06025</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-based-investigation-on-classifying-binary-and-multiclass-behavior-outcomes-of-children-with-pimd-smid-2105.06025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-based-investigation-on-classifying-binary-and-multiclass-behavior-outcomes-of-children-with-pimd-smid-2105.06025"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-uniform-ope-and-model-based-offline-reinforcement-learning-in-time-homogeneous-reward-free-and-task-agnostic-settings-2105.06029</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-uniform-ope-and-model-based-offline-reinforcement-learning-in-time-homogeneous-reward-free-and-task-agnostic-settings-2105.06029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-uniform-ope-and-model-based-offline-reinforcement-learning-in-time-homogeneous-reward-free-and-task-agnostic-settings-2105.06029"/></url>
<url><loc>https://scifaro.com/en/abs/gipa-general-information-propagation-algorithm-for-graph-learning-2105.06035</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gipa-general-information-propagation-algorithm-for-graph-learning-2105.06035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gipa-general-information-propagation-algorithm-for-graph-learning-2105.06035"/></url>
<url><loc>https://scifaro.com/en/abs/house-price-prediction-using-satellite-imagery-2105.06060</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/house-price-prediction-using-satellite-imagery-2105.06060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/house-price-prediction-using-satellite-imagery-2105.06060"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-non-uniformity-in-first-order-non-convex-optimization-2105.06072</loc><lastmod>2022-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-non-uniformity-in-first-order-non-convex-optimization-2105.06072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-non-uniformity-in-first-order-non-convex-optimization-2105.06072"/></url>
<url><loc>https://scifaro.com/en/abs/value-at-risk-optimization-with-gaussian-processes-2105.06126</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/value-at-risk-optimization-with-gaussian-processes-2105.06126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/value-at-risk-optimization-with-gaussian-processes-2105.06126"/></url>
<url><loc>https://scifaro.com/en/abs/heunnet-extending-resnet-using-heun-s-methods-2105.06168</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heunnet-extending-resnet-using-heun-s-methods-2105.06168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heunnet-extending-resnet-using-heun-s-methods-2105.06168"/></url>
<url><loc>https://scifaro.com/en/abs/deepobliviate-a-powerful-charm-for-erasing-data-residual-memory-in-deep-neural-networks-2105.06209</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepobliviate-a-powerful-charm-for-erasing-data-residual-memory-in-deep-neural-networks-2105.06209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepobliviate-a-powerful-charm-for-erasing-data-residual-memory-in-deep-neural-networks-2105.06209"/></url>
<url><loc>https://scifaro.com/en/abs/quantized-proximal-averaging-network-for-analysis-sparse-coding-2105.06211</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantized-proximal-averaging-network-for-analysis-sparse-coding-2105.06211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantized-proximal-averaging-network-for-analysis-sparse-coding-2105.06211"/></url>
<url><loc>https://scifaro.com/en/abs/likelihoods-and-parameter-priors-for-bayesian-networks-2105.06241</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihoods-and-parameter-priors-for-bayesian-networks-2105.06241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihoods-and-parameter-priors-for-bayesian-networks-2105.06241"/></url>
<url><loc>https://scifaro.com/en/abs/variational-auto-encoder-gradient-clustering-2105.06246</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-auto-encoder-gradient-clustering-2105.06246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-auto-encoder-gradient-clustering-2105.06246"/></url>
<url><loc>https://scifaro.com/en/abs/3u-edgeai-ultra-low-memory-training-ultra-low-bitwidthquantization-and-ultra-low-latency-acceleration-2105.06250</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/3u-edgeai-ultra-low-memory-training-ultra-low-bitwidthquantization-and-ultra-low-latency-acceleration-2105.06250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/3u-edgeai-ultra-low-memory-training-ultra-low-bitwidthquantization-and-ultra-low-latency-acceleration-2105.06250"/></url>
<url><loc>https://scifaro.com/en/abs/learning-weakly-convex-sets-in-metric-spaces-2105.06251</loc><lastmod>2024-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-weakly-convex-sets-in-metric-spaces-2105.06251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-weakly-convex-sets-in-metric-spaces-2105.06251"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-ctc-based-end-to-end-techniques-for-myanmar-speech-recognition-2105.06253</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-ctc-based-end-to-end-techniques-for-myanmar-speech-recognition-2105.06253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-ctc-based-end-to-end-techniques-for-myanmar-speech-recognition-2105.06253"/></url>
<url><loc>https://scifaro.com/en/abs/machine-assistance-for-credit-card-approval-random-wheel-can-recommend-and-explain-2105.06255</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-assistance-for-credit-card-approval-random-wheel-can-recommend-and-explain-2105.06255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-assistance-for-credit-card-approval-random-wheel-can-recommend-and-explain-2105.06255"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-unreliable-clients-performance-analysis-and-mechanism-design-2105.06256</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-unreliable-clients-performance-analysis-and-mechanism-design-2105.06256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-unreliable-clients-performance-analysis-and-mechanism-design-2105.06256"/></url>
<url><loc>https://scifaro.com/en/abs/group-feature-learning-and-domain-adversarial-neural-network-for-amci-diagnosis-system-based-on-eeg-2105.06270</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-feature-learning-and-domain-adversarial-neural-network-for-amci-diagnosis-system-based-on-eeg-2105.06270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-feature-learning-and-domain-adversarial-neural-network-for-amci-diagnosis-system-based-on-eeg-2105.06270"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-via-controlled-sensing-and-deep-active-inference-2105.06288</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-via-controlled-sensing-and-deep-active-inference-2105.06288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-via-controlled-sensing-and-deep-active-inference-2105.06288"/></url>
<url><loc>https://scifaro.com/en/abs/a-scalable-algorithm-for-anomaly-detection-via-learning-based-controlled-sensing-2105.06289</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scalable-algorithm-for-anomaly-detection-via-learning-based-controlled-sensing-2105.06289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scalable-algorithm-for-anomaly-detection-via-learning-based-controlled-sensing-2105.06289"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-machine-learning-for-fraud-detection-2105.06314</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-machine-learning-for-fraud-detection-2105.06314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-machine-learning-for-fraud-detection-2105.06314"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrapping-user-and-item-representations-for-one-class-collaborative-filtering-2105.06323</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrapping-user-and-item-representations-for-one-class-collaborative-filtering-2105.06323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrapping-user-and-item-representations-for-one-class-collaborative-filtering-2105.06323"/></url>
<url><loc>https://scifaro.com/en/abs/informed-equation-learning-2105.06331</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/informed-equation-learning-2105.06331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/informed-equation-learning-2105.06331"/></url>
<url><loc>https://scifaro.com/en/abs/grad-tts-a-diffusion-probabilistic-model-for-text-to-speech-2105.06337</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grad-tts-a-diffusion-probabilistic-model-for-text-to-speech-2105.06337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grad-tts-a-diffusion-probabilistic-model-for-text-to-speech-2105.06337"/></url>
<url><loc>https://scifaro.com/en/abs/addressing-fairness-bias-and-class-imbalance-in-machine-learning-the-fbi-loss-2105.06345</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addressing-fairness-bias-and-class-imbalance-in-machine-learning-the-fbi-loss-2105.06345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addressing-fairness-bias-and-class-imbalance-in-machine-learning-the-fbi-loss-2105.06345"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-and-implicit-bias-of-gradient-flow-on-overparametrized-linear-networks-2105.06351</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-and-implicit-bias-of-gradient-flow-on-overparametrized-linear-networks-2105.06351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-and-implicit-bias-of-gradient-flow-on-overparametrized-linear-networks-2105.06351"/></url>
<url><loc>https://scifaro.com/en/abs/neighborhood-aware-neural-architecture-search-2105.06369</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neighborhood-aware-neural-architecture-search-2105.06369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neighborhood-aware-neural-architecture-search-2105.06369"/></url>
<url><loc>https://scifaro.com/en/abs/providing-assurance-and-scrutability-on-shared-data-and-machine-learning-models-with-verifiable-credentials-2105.06370</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/providing-assurance-and-scrutability-on-shared-data-and-machine-learning-models-with-verifiable-credentials-2105.06370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/providing-assurance-and-scrutability-on-shared-data-and-machine-learning-models-with-verifiable-credentials-2105.06370"/></url>
<url><loc>https://scifaro.com/en/abs/provably-convergent-algorithms-for-solving-inverse-problems-using-generative-models-2105.06371</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-convergent-algorithms-for-solving-inverse-problems-using-generative-models-2105.06371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-convergent-algorithms-for-solving-inverse-problems-using-generative-models-2105.06371"/></url>
<url><loc>https://scifaro.com/en/abs/class-incremental-learning-for-wireless-device-identification-in-iot-2105.06381</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-incremental-learning-for-wireless-device-identification-in-iot-2105.06381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-incremental-learning-for-wireless-device-identification-in-iot-2105.06381"/></url>
<url><loc>https://scifaro.com/en/abs/syntheticfur-dataset-for-neural-rendering-2105.06409</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/syntheticfur-dataset-for-neural-rendering-2105.06409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/syntheticfur-dataset-for-neural-rendering-2105.06409"/></url>
<url><loc>https://scifaro.com/en/abs/openfl-an-open-source-framework-for-federated-learning-2105.06413</loc><lastmod>2022-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/openfl-an-open-source-framework-for-federated-learning-2105.06413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/openfl-an-open-source-framework-for-federated-learning-2105.06413"/></url>
<url><loc>https://scifaro.com/en/abs/causally-motivated-shortcut-removal-using-auxiliary-labels-2105.06422</loc><lastmod>2022-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causally-motivated-shortcut-removal-using-auxiliary-labels-2105.06422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causally-motivated-shortcut-removal-using-auxiliary-labels-2105.06422"/></url>
<url><loc>https://scifaro.com/en/abs/bwcp-probabilistic-learning-to-prune-channels-for-convnets-via-batch-whitening-2105.06423</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bwcp-probabilistic-learning-to-prune-channels-for-convnets-via-batch-whitening-2105.06423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bwcp-probabilistic-learning-to-prune-channels-for-convnets-via-batch-whitening-2105.06423"/></url>
<url><loc>https://scifaro.com/en/abs/interval-deep-learning-for-uncertainty-quantification-in-safety-applications-2105.06438</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interval-deep-learning-for-uncertainty-quantification-in-safety-applications-2105.06438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interval-deep-learning-for-uncertainty-quantification-in-safety-applications-2105.06438"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-comparison-of-bias-reduction-methods-on-real-world-problems-in-high-stakes-policy-settings-2105.06442</loc><lastmod>2021-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-comparison-of-bias-reduction-methods-on-real-world-problems-in-high-stakes-policy-settings-2105.06442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-comparison-of-bias-reduction-methods-on-real-world-problems-in-high-stakes-policy-settings-2105.06442"/></url>
<url><loc>https://scifaro.com/en/abs/improved-algorithms-for-agnostic-pool-based-active-classification-2105.06499</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-algorithms-for-agnostic-pool-based-active-classification-2105.06499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-algorithms-for-agnostic-pool-based-active-classification-2105.06499"/></url>
<url><loc>https://scifaro.com/en/abs/sanity-simulations-for-saliency-methods-2105.06506</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sanity-simulations-for-saliency-methods-2105.06506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sanity-simulations-for-saliency-methods-2105.06506"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-shield-a-probabilistic-approach-towards-training-free-adversarial-defense-in-quantized-cnns-2105.06512</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-shield-a-probabilistic-approach-towards-training-free-adversarial-defense-in-quantized-cnns-2105.06512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-shield-a-probabilistic-approach-towards-training-free-adversarial-defense-in-quantized-cnns-2105.06512"/></url>
<url><loc>https://scifaro.com/en/abs/learning-robust-hierarchical-patterns-of-human-brain-across-many-fmri-studies-2105.06535</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-robust-hierarchical-patterns-of-human-brain-across-many-fmri-studies-2105.06535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-robust-hierarchical-patterns-of-human-brain-across-many-fmri-studies-2105.06535"/></url>
<url><loc>https://scifaro.com/en/abs/not-all-memories-are-created-equal-learning-to-forget-by-expiring-2105.06548</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/not-all-memories-are-created-equal-learning-to-forget-by-expiring-2105.06548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/not-all-memories-are-created-equal-learning-to-forget-by-expiring-2105.06548"/></url>
<url><loc>https://scifaro.com/en/abs/the-dynamics-of-gradient-descent-for-overparametrized-neural-networks-2105.06569</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-dynamics-of-gradient-descent-for-overparametrized-neural-networks-2105.06569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-dynamics-of-gradient-descent-for-overparametrized-neural-networks-2105.06569"/></url>
<url><loc>https://scifaro.com/en/abs/online-algorithms-and-policies-using-adaptive-and-machine-learning-approaches-2105.06577</loc><lastmod>2023-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-algorithms-and-policies-using-adaptive-and-machine-learning-approaches-2105.06577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-algorithms-and-policies-using-adaptive-and-machine-learning-approaches-2105.06577"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-evaluation-of-biased-methods-for-alpha-divergence-minimization-2105.06587</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-evaluation-of-biased-methods-for-alpha-divergence-minimization-2105.06587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-evaluation-of-biased-methods-for-alpha-divergence-minimization-2105.06587"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-effectively-use-machine-learning-models-to-predict-the-solutions-for-optimization-problems-lessons-from-loss-function-2105.06618</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-effectively-use-machine-learning-models-to-predict-the-solutions-for-optimization-problems-lessons-from-loss-function-2105.06618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-effectively-use-machine-learning-models-to-predict-the-solutions-for-optimization-problems-lessons-from-loss-function-2105.06618"/></url>
<url><loc>https://scifaro.com/en/abs/ordering-based-causal-discovery-with-reinforcement-learning-2105.06631</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ordering-based-causal-discovery-with-reinforcement-learning-2105.06631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ordering-based-causal-discovery-with-reinforcement-learning-2105.06631"/></url>
<url><loc>https://scifaro.com/en/abs/monash-time-series-forecasting-archive-2105.06643</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monash-time-series-forecasting-archive-2105.06643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monash-time-series-forecasting-archive-2105.06643"/></url>
<url><loc>https://scifaro.com/en/abs/importance-weighted-adversarial-discriminative-transfer-for-anomaly-detection-2105.06649</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/importance-weighted-adversarial-discriminative-transfer-for-anomaly-detection-2105.06649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/importance-weighted-adversarial-discriminative-transfer-for-anomaly-detection-2105.06649"/></url>
<url><loc>https://scifaro.com/en/abs/non-decreasing-quantile-function-network-with-efficient-exploration-for-distributional-reinforcement-learning-2105.06696</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-decreasing-quantile-function-network-with-efficient-exploration-for-distributional-reinforcement-learning-2105.06696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-decreasing-quantile-function-network-with-efficient-exploration-for-distributional-reinforcement-learning-2105.06696"/></url>
<url><loc>https://scifaro.com/en/abs/learning-unknown-from-correlations-graph-neural-network-for-inter-novel-protein-interaction-prediction-2105.06709</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-unknown-from-correlations-graph-neural-network-for-inter-novel-protein-interaction-prediction-2105.06709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-unknown-from-correlations-graph-neural-network-for-inter-novel-protein-interaction-prediction-2105.06709"/></url>
<url><loc>https://scifaro.com/en/abs/maximizing-mutual-information-across-feature-and-topology-views-for-learning-graph-representations-2105.06715</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximizing-mutual-information-across-feature-and-topology-views-for-learning-graph-representations-2105.06715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximizing-mutual-information-across-feature-and-topology-views-for-learning-graph-representations-2105.06715"/></url>
<url><loc>https://scifaro.com/en/abs/rc2020-report-learning-de-biased-representations-with-biased-representations-2105.06724</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rc2020-report-learning-de-biased-representations-with-biased-representations-2105.06724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rc2020-report-learning-de-biased-representations-with-biased-representations-2105.06724"/></url>
<url><loc>https://scifaro.com/en/abs/meta-inductive-node-classification-across-graphs-2105.06725</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-inductive-node-classification-across-graphs-2105.06725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-inductive-node-classification-across-graphs-2105.06725"/></url>
<url><loc>https://scifaro.com/en/abs/long-short-term-memory-rnn-2105.06756</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-short-term-memory-rnn-2105.06756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-short-term-memory-rnn-2105.06756"/></url>
<url><loc>https://scifaro.com/en/abs/agree-to-disagree-when-deep-learning-models-with-identical-architectures-produce-distinct-explanations-2105.06791</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agree-to-disagree-when-deep-learning-models-with-identical-architectures-produce-distinct-explanations-2105.06791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agree-to-disagree-when-deep-learning-models-with-identical-architectures-produce-distinct-explanations-2105.06791"/></url>
<url><loc>https://scifaro.com/en/abs/threshold-martingales-and-the-evolution-of-forecasts-2105.06834</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/threshold-martingales-and-the-evolution-of-forecasts-2105.06834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/threshold-martingales-and-the-evolution-of-forecasts-2105.06834"/></url>
<url><loc>https://scifaro.com/en/abs/sparsity-probe-analysis-tool-for-deep-learning-models-2105.06849</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsity-probe-analysis-tool-for-deep-learning-models-2105.06849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsity-probe-analysis-tool-for-deep-learning-models-2105.06849"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-logistic-regression-with-secret-sharing-2105.06869</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-logistic-regression-with-secret-sharing-2105.06869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-logistic-regression-with-secret-sharing-2105.06869"/></url>
<url><loc>https://scifaro.com/en/abs/dos-and-ddos-mitigation-using-variational-autoencoders-2105.06899</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dos-and-ddos-mitigation-using-variational-autoencoders-2105.06899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dos-and-ddos-mitigation-using-variational-autoencoders-2105.06899"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learned-svt-unrolling-singular-value-thresholding-to-obtain-better-mse-2105.06934</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learned-svt-unrolling-singular-value-thresholding-to-obtain-better-mse-2105.06934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learned-svt-unrolling-singular-value-thresholding-to-obtain-better-mse-2105.06934"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-evolution-of-model-agnostic-global-explanations-2105.06956</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-evolution-of-model-agnostic-global-explanations-2105.06956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-evolution-of-model-agnostic-global-explanations-2105.06956"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-gaussian-entropic-risk-bandits-2105.06960</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-gaussian-entropic-risk-bandits-2105.06960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-gaussian-entropic-risk-bandits-2105.06960"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-ensemble-distribution-distillation-to-many-classes-with-proxy-targets-2105.06987</loc><lastmod>2021-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-ensemble-distribution-distillation-to-many-classes-with-proxy-targets-2105.06987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-ensemble-distribution-distillation-to-many-classes-with-proxy-targets-2105.06987"/></url>
<url><loc>https://scifaro.com/en/abs/a-causal-learning-framework-for-the-analysis-and-interpretation-of-covid-19-clinical-data-2105.06998</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-causal-learning-framework-for-the-analysis-and-interpretation-of-covid-19-clinical-data-2105.06998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-causal-learning-framework-for-the-analysis-and-interpretation-of-covid-19-clinical-data-2105.06998"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-universal-template-for-few-shot-dataset-generalization-2105.07029</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-universal-template-for-few-shot-dataset-generalization-2105.07029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-universal-template-for-few-shot-dataset-generalization-2105.07029"/></url>
<url><loc>https://scifaro.com/en/abs/cause-and-effect-hierarchical-concept-based-explanation-of-neural-networks-2105.07033</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cause-and-effect-hierarchical-concept-based-explanation-of-neural-networks-2105.07033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cause-and-effect-hierarchical-concept-based-explanation-of-neural-networks-2105.07033"/></url>
<url><loc>https://scifaro.com/en/abs/post-processing-multi-model-medium-term-precipitation-forecasts-using-convolutional-neural-networks-2105.07043</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-processing-multi-model-medium-term-precipitation-forecasts-using-convolutional-neural-networks-2105.07043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-processing-multi-model-medium-term-precipitation-forecasts-using-convolutional-neural-networks-2105.07043"/></url>
<url><loc>https://scifaro.com/en/abs/node-selection-toward-faster-convergence-for-federated-learning-on-non-iid-data-2105.07066</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-selection-toward-faster-convergence-for-federated-learning-on-non-iid-data-2105.07066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-selection-toward-faster-convergence-for-federated-learning-on-non-iid-data-2105.07066"/></url>
<url><loc>https://scifaro.com/en/abs/high-robustness-low-transferability-fingerprinting-of-neural-networks-2105.07078</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-robustness-low-transferability-fingerprinting-of-neural-networks-2105.07078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-robustness-low-transferability-fingerprinting-of-neural-networks-2105.07078"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-drug-synergy-prediction-with-graph-neural-networks-for-human-ai-collaboration-in-healthcare-2105.07082</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-drug-synergy-prediction-with-graph-neural-networks-for-human-ai-collaboration-in-healthcare-2105.07082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-drug-synergy-prediction-with-graph-neural-networks-for-human-ai-collaboration-in-healthcare-2105.07082"/></url>
<url><loc>https://scifaro.com/en/abs/verification-of-image-based-neural-network-controllers-using-generative-models-2105.07091</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/verification-of-image-based-neural-network-controllers-using-generative-models-2105.07091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/verification-of-image-based-neural-network-controllers-using-generative-models-2105.07091"/></url>
<url><loc>https://scifaro.com/en/abs/feature-based-interpretable-reinforcement-learning-based-on-state-transition-models-2105.07099</loc><lastmod>2023-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-based-interpretable-reinforcement-learning-based-on-state-transition-models-2105.07099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-based-interpretable-reinforcement-learning-based-on-state-transition-models-2105.07099"/></url>
<url><loc>https://scifaro.com/en/abs/lightweight-compression-of-intermediate-neural-network-features-for-collaborative-intelligence-2105.07102</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lightweight-compression-of-intermediate-neural-network-features-for-collaborative-intelligence-2105.07102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lightweight-compression-of-intermediate-neural-network-features-for-collaborative-intelligence-2105.07102"/></url>
<url><loc>https://scifaro.com/en/abs/an-effective-baseline-for-robustness-to-distributional-shift-2105.07107</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-effective-baseline-for-robustness-to-distributional-shift-2105.07107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-effective-baseline-for-robustness-to-distributional-shift-2105.07107"/></url>
<url><loc>https://scifaro.com/en/abs/prescriptive-process-monitoring-for-cost-aware-cycle-time-reduction-2105.07111</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prescriptive-process-monitoring-for-cost-aware-cycle-time-reduction-2105.07111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prescriptive-process-monitoring-for-cost-aware-cycle-time-reduction-2105.07111"/></url>
<url><loc>https://scifaro.com/en/abs/cohort-shapley-value-for-algorithmic-fairness-2105.07168</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cohort-shapley-value-for-algorithmic-fairness-2105.07168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cohort-shapley-value-for-algorithmic-fairness-2105.07168"/></url>
<url><loc>https://scifaro.com/en/abs/drill-the-cork-of-information-bottleneck-by-inputting-the-most-important-data-2105.07181</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drill-the-cork-of-information-bottleneck-by-inputting-the-most-important-data-2105.07181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drill-the-cork-of-information-bottleneck-by-inputting-the-most-important-data-2105.07181"/></url>
<url><loc>https://scifaro.com/en/abs/a-comprehensive-taxonomy-for-explainable-artificial-intelligence-a-systematic-survey-of-surveys-on-methods-and-concepts-2105.07190</loc><lastmod>2023-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comprehensive-taxonomy-for-explainable-artificial-intelligence-a-systematic-survey-of-surveys-on-methods-and-concepts-2105.07190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comprehensive-taxonomy-for-explainable-artificial-intelligence-a-systematic-survey-of-surveys-on-methods-and-concepts-2105.07190"/></url>
<url><loc>https://scifaro.com/en/abs/an-even-load-distribution-design-for-composite-bolted-joints-using-a-novel-circuit-model-and-artificial-neural-networks-2105.07194</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-even-load-distribution-design-for-composite-bolted-joints-using-a-novel-circuit-model-and-artificial-neural-networks-2105.07194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-even-load-distribution-design-for-composite-bolted-joints-using-a-novel-circuit-model-and-artificial-neural-networks-2105.07194"/></url>
<url><loc>https://scifaro.com/en/abs/joint-learning-of-multiple-granger-causal-networks-via-non-convex-regularizations-inference-of-group-level-brain-connectivity-2105.07196</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-learning-of-multiple-granger-causal-networks-via-non-convex-regularizations-inference-of-group-level-brain-connectivity-2105.07196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-learning-of-multiple-granger-causal-networks-via-non-convex-regularizations-inference-of-group-level-brain-connectivity-2105.07196"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-skip-connection-with-layer-normalization-in-transformers-and-resnets-2105.07205</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-skip-connection-with-layer-normalization-in-transformers-and-resnets-2105.07205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-skip-connection-with-layer-normalization-in-transformers-and-resnets-2105.07205"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-distributional-properties-of-adaptive-gradients-2105.07222</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-distributional-properties-of-adaptive-gradients-2105.07222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-distributional-properties-of-adaptive-gradients-2105.07222"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-structured-deep-kernel-networks-2105.07228</loc><lastmod>2025-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-structured-deep-kernel-networks-2105.07228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-structured-deep-kernel-networks-2105.07228"/></url>
<url><loc>https://scifaro.com/en/abs/bilevel-programs-meet-deep-learning-a-unifying-view-on-inference-learning-methods-2105.07231</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bilevel-programs-meet-deep-learning-a-unifying-view-on-inference-learning-methods-2105.07231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bilevel-programs-meet-deep-learning-a-unifying-view-on-inference-learning-methods-2105.07231"/></url>
<url><loc>https://scifaro.com/en/abs/an-end-to-end-framework-for-molecular-conformation-generation-via-bilevel-programming-2105.07246</loc><lastmod>2025-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-end-to-end-framework-for-molecular-conformation-generation-via-bilevel-programming-2105.07246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-end-to-end-framework-for-molecular-conformation-generation-via-bilevel-programming-2105.07246"/></url>
<url><loc>https://scifaro.com/en/abs/regret-minimization-experience-replay-in-off-policy-reinforcement-learning-2105.07253</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-minimization-experience-replay-in-off-policy-reinforcement-learning-2105.07253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-minimization-experience-replay-in-off-policy-reinforcement-learning-2105.07253"/></url>
<url><loc>https://scifaro.com/en/abs/neural-trees-for-learning-on-graphs-2105.07264</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-trees-for-learning-on-graphs-2105.07264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-trees-for-learning-on-graphs-2105.07264"/></url>
<url><loc>https://scifaro.com/en/abs/is-in-domain-data-really-needed-a-pilot-study-on-cross-domain-calibration-for-network-quantization-2105.07331</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-in-domain-data-really-needed-a-pilot-study-on-cross-domain-calibration-for-network-quantization-2105.07331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-in-domain-data-really-needed-a-pilot-study-on-cross-domain-calibration-for-network-quantization-2105.07331"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-detection-of-practical-universal-adversarial-perturbations-2105.07334</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-detection-of-practical-universal-adversarial-perturbations-2105.07334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-detection-of-practical-universal-adversarial-perturbations-2105.07334"/></url>
<url><loc>https://scifaro.com/en/abs/ccmn-a-general-framework-for-learning-with-class-conditional-multi-label-noise-2105.07338</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ccmn-a-general-framework-for-learning-with-class-conditional-multi-label-noise-2105.07338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ccmn-a-general-framework-for-learning-with-class-conditional-multi-label-noise-2105.07338"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-learning-on-graphs-contrastive-generative-or-predictive-2105.07342</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-learning-on-graphs-contrastive-generative-or-predictive-2105.07342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-learning-on-graphs-contrastive-generative-or-predictive-2105.07342"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-effect-of-bias-in-deep-anomaly-detection-2105.07346</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-effect-of-bias-in-deep-anomaly-detection-2105.07346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-effect-of-bias-in-deep-anomaly-detection-2105.07346"/></url>
<url><loc>https://scifaro.com/en/abs/expressive-explanations-of-dnns-by-combining-concept-analysis-with-ilp-2105.07371</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expressive-explanations-of-dnns-by-combining-concept-analysis-with-ilp-2105.07371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expressive-explanations-of-dnns-by-combining-concept-analysis-with-ilp-2105.07371"/></url>
<url><loc>https://scifaro.com/en/abs/undistillable-making-a-nasty-teacher-that-cannot-teach-students-2105.07381</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/undistillable-making-a-nasty-teacher-that-cannot-teach-students-2105.07381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/undistillable-making-a-nasty-teacher-that-cannot-teach-students-2105.07381"/></url>
<url><loc>https://scifaro.com/en/abs/capsule-gan-for-prostate-mri-super-resolution-2105.07495</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capsule-gan-for-prostate-mri-super-resolution-2105.07495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capsule-gan-for-prostate-mri-super-resolution-2105.07495"/></url>
<url><loc>https://scifaro.com/en/abs/graph-free-knowledge-distillation-for-graph-neural-networks-2105.07519</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-free-knowledge-distillation-for-graph-neural-networks-2105.07519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-free-knowledge-distillation-for-graph-neural-networks-2105.07519"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-pooling-improves-nanopore-base-calling-accuracy-2105.07520</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-pooling-improves-nanopore-base-calling-accuracy-2105.07520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-pooling-improves-nanopore-base-calling-accuracy-2105.07520"/></url>
<url><loc>https://scifaro.com/en/abs/towards-synthetic-multivariate-time-series-generation-for-flare-forecasting-2105.07532</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-synthetic-multivariate-time-series-generation-for-flare-forecasting-2105.07532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-synthetic-multivariate-time-series-generation-for-flare-forecasting-2105.07532"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-graph-learning-with-auxiliary-text-for-temporal-event-prediction-in-healthcare-2105.07542</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-graph-learning-with-auxiliary-text-for-temporal-event-prediction-in-healthcare-2105.07542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-graph-learning-with-auxiliary-text-for-temporal-event-prediction-in-healthcare-2105.07542"/></url>
<url><loc>https://scifaro.com/en/abs/disentangled-variational-information-bottleneck-for-multiview-representation-learning-2105.07599</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-variational-information-bottleneck-for-multiview-representation-learning-2105.07599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-variational-information-bottleneck-for-multiview-representation-learning-2105.07599"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-federated-knowledge-graphs-embedding-2105.07615</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-federated-knowledge-graphs-embedding-2105.07615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-federated-knowledge-graphs-embedding-2105.07615"/></url>
<url><loc>https://scifaro.com/en/abs/convex-optimization-for-actionable-plausible-counterfactual-explanations-2105.07630</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-optimization-for-actionable-plausible-counterfactual-explanations-2105.07630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-optimization-for-actionable-plausible-counterfactual-explanations-2105.07630"/></url>
<url><loc>https://scifaro.com/en/abs/doc3-deep-one-class-classification-using-contradictions-2105.07636</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doc3-deep-one-class-classification-using-contradictions-2105.07636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doc3-deep-one-class-classification-using-contradictions-2105.07636"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-with-echo-state-networks-2105.07674</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-with-echo-state-networks-2105.07674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-with-echo-state-networks-2105.07674"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-stochastic-optimal-control-through-approximate-bayesian-input-inference-2105.07693</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-stochastic-optimal-control-through-approximate-bayesian-input-inference-2105.07693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-stochastic-optimal-control-through-approximate-bayesian-input-inference-2105.07693"/></url>
<url><loc>https://scifaro.com/en/abs/data-assimilation-predictive-gan-da-predgan-applied-to-determine-the-spread-of-covid-19-2105.07729</loc><lastmod>2023-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-assimilation-predictive-gan-da-predgan-applied-to-determine-the-spread-of-covid-19-2105.07729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-assimilation-predictive-gan-da-predgan-applied-to-determine-the-spread-of-covid-19-2105.07729"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-state-networks-for-effective-skill-assessment-in-atomic-learning-2105.07733</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-state-networks-for-effective-skill-assessment-in-atomic-learning-2105.07733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-state-networks-for-effective-skill-assessment-in-atomic-learning-2105.07733"/></url>
<url><loc>https://scifaro.com/en/abs/activation-function-design-for-deep-networks-linearity-and-effective-initialisation-2105.07741</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/activation-function-design-for-deep-networks-linearity-and-effective-initialisation-2105.07741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/activation-function-design-for-deep-networks-linearity-and-effective-initialisation-2105.07741"/></url>
<url><loc>https://scifaro.com/en/abs/universal-regular-conditional-distributions-2105.07743</loc><lastmod>2023-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-regular-conditional-distributions-2105.07743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-regular-conditional-distributions-2105.07743"/></url>
<url><loc>https://scifaro.com/en/abs/a-cloud-based-deep-learning-framework-for-remote-detection-of-diabetic-foot-ulcers-2105.07763</loc><lastmod>2022-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-cloud-based-deep-learning-framework-for-remote-detection-of-diabetic-foot-ulcers-2105.07763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-cloud-based-deep-learning-framework-for-remote-detection-of-diabetic-foot-ulcers-2105.07763"/></url>
<url><loc>https://scifaro.com/en/abs/self-learning-for-received-signal-strength-map-reconstruction-with-neural-architecture-search-2105.07768</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-learning-for-received-signal-strength-map-reconstruction-with-neural-architecture-search-2105.07768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-learning-for-received-signal-strength-map-reconstruction-with-neural-architecture-search-2105.07768"/></url>
<url><loc>https://scifaro.com/en/abs/be-causal-de-biasing-social-network-confounding-in-recommendation-2105.07775</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/be-causal-de-biasing-social-network-confounding-in-recommendation-2105.07775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/be-causal-de-biasing-social-network-confounding-in-recommendation-2105.07775"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-explain-neural-networks-an-approximation-perspective-2105.07831</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-explain-neural-networks-an-approximation-perspective-2105.07831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-explain-neural-networks-an-approximation-perspective-2105.07831"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-attention-based-neural-network-for-solving-non-linear-partial-differential-equations-2105.07898</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-attention-based-neural-network-for-solving-non-linear-partial-differential-equations-2105.07898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-attention-based-neural-network-for-solving-non-linear-partial-differential-equations-2105.07898"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-deep-self-attention-in-knowledge-tracing-2105.07909</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-deep-self-attention-in-knowledge-tracing-2105.07909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-deep-self-attention-in-knowledge-tracing-2105.07909"/></url>
<url><loc>https://scifaro.com/en/abs/cnn-based-approaches-for-cross-subject-classification-in-motor-imagery-from-the-state-of-the-art-to-dynamicnet-2105.07917</loc><lastmod>2022-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cnn-based-approaches-for-cross-subject-classification-in-motor-imagery-from-the-state-of-the-art-to-dynamicnet-2105.07917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cnn-based-approaches-for-cross-subject-classification-in-motor-imagery-from-the-state-of-the-art-to-dynamicnet-2105.07917"/></url>
<url><loc>https://scifaro.com/en/abs/tcl-transformer-based-dynamic-graph-modelling-via-contrastive-learning-2105.07944</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tcl-transformer-based-dynamic-graph-modelling-via-contrastive-learning-2105.07944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tcl-transformer-based-dynamic-graph-modelling-via-contrastive-learning-2105.07944"/></url>
<url><loc>https://scifaro.com/en/abs/choice-set-confounding-in-discrete-choice-2105.07959</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/choice-set-confounding-in-discrete-choice-2105.07959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/choice-set-confounding-in-discrete-choice-2105.07959"/></url>
<url><loc>https://scifaro.com/en/abs/learn-to-intervene-an-adaptive-learning-policy-for-restless-bandits-in-application-to-preventive-healthcare-2105.07965</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-to-intervene-an-adaptive-learning-policy-for-restless-bandits-in-application-to-preventive-healthcare-2105.07965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-to-intervene-an-adaptive-learning-policy-for-restless-bandits-in-application-to-preventive-healthcare-2105.07965"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-an-inverted-pendulum-with-policy-gradient-methods-a-tutorial-2105.07998</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-an-inverted-pendulum-with-policy-gradient-methods-a-tutorial-2105.07998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-an-inverted-pendulum-with-policy-gradient-methods-a-tutorial-2105.07998"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-latent-simplex-in-input-sparsity-time-2105.08005</loc><lastmod>2021-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-latent-simplex-in-input-sparsity-time-2105.08005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-latent-simplex-in-input-sparsity-time-2105.08005"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-improvement-of-adversarial-training-for-network-embedding-from-an-optimization-perspective-2105.08007</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-improvement-of-adversarial-training-for-network-embedding-from-an-optimization-perspective-2105.08007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-improvement-of-adversarial-training-for-network-embedding-from-an-optimization-perspective-2105.08007"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-is-feasible-for-linearly-realizable-mdps-with-limited-revisiting-2105.08024</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-is-feasible-for-linearly-realizable-mdps-with-limited-revisiting-2105.08024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-is-feasible-for-linearly-realizable-mdps-with-limited-revisiting-2105.08024"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-for-gradient-descent-analysis-through-its-continuous-time-approximation-2105.08037</loc><lastmod>2023-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-for-gradient-descent-analysis-through-its-continuous-time-approximation-2105.08037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-for-gradient-descent-analysis-through-its-continuous-time-approximation-2105.08037"/></url>
<url><loc>https://scifaro.com/en/abs/pay-attention-to-mlps-2105.08050</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pay-attention-to-mlps-2105.08050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pay-attention-to-mlps-2105.08050"/></url>
<url><loc>https://scifaro.com/en/abs/algorithm-agnostic-explainability-for-unsupervised-clustering-2105.08053</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithm-agnostic-explainability-for-unsupervised-clustering-2105.08053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithm-agnostic-explainability-for-unsupervised-clustering-2105.08053"/></url>
<url><loc>https://scifaro.com/en/abs/multiclass-classification-using-dilute-bandit-feedback-2105.08093</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiclass-classification-using-dilute-bandit-feedback-2105.08093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiclass-classification-using-dilute-bandit-feedback-2105.08093"/></url>
<url><loc>https://scifaro.com/en/abs/an-integrated-deep-learning-and-dynamic-programming-method-for-predicting-tumor-suppressor-genes-oncogenes-and-fusion-from-pdb-structures-2105.08100</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-integrated-deep-learning-and-dynamic-programming-method-for-predicting-tumor-suppressor-genes-oncogenes-and-fusion-from-pdb-structures-2105.08100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-integrated-deep-learning-and-dynamic-programming-method-for-predicting-tumor-suppressor-genes-oncogenes-and-fusion-from-pdb-structures-2105.08100"/></url>
<url><loc>https://scifaro.com/en/abs/itsy-bitsy-spidernet-fully-connected-residual-network-for-fraud-detection-2105.08120</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/itsy-bitsy-spidernet-fully-connected-residual-network-for-fraud-detection-2105.08120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/itsy-bitsy-spidernet-fully-connected-residual-network-for-fraud-detection-2105.08120"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-weighted-actor-critic-for-offline-reinforcement-learning-2105.08140</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-weighted-actor-critic-for-offline-reinforcement-learning-2105.08140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-weighted-actor-critic-for-offline-reinforcement-learning-2105.08140"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-and-flexible-sampling-from-autoregressive-models-via-langevin-dynamics-2105.08164</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-and-flexible-sampling-from-autoregressive-models-via-langevin-dynamics-2105.08164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-and-flexible-sampling-from-autoregressive-models-via-langevin-dynamics-2105.08164"/></url>
<url><loc>https://scifaro.com/en/abs/learning-disentangled-representations-for-time-series-2105.08179</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-disentangled-representations-for-time-series-2105.08179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-disentangled-representations-for-time-series-2105.08179"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multistage-multi-task-learning-for-quality-prediction-of-multistage-manufacturing-systems-2105.08180</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multistage-multi-task-learning-for-quality-prediction-of-multistage-manufacturing-systems-2105.08180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multistage-multi-task-learning-for-quality-prediction-of-multistage-manufacturing-systems-2105.08180"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-bayesian-optimization-of-multiple-noisy-objectives-with-expected-hypervolume-improvement-2105.08195</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-bayesian-optimization-of-multiple-noisy-objectives-with-expected-hypervolume-improvement-2105.08195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-bayesian-optimization-of-multiple-noisy-objectives-with-expected-hypervolume-improvement-2105.08195"/></url>
<url><loc>https://scifaro.com/en/abs/synthesising-multi-modal-minority-samples-for-tabular-data-2105.08204</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthesising-multi-modal-minority-samples-for-tabular-data-2105.08204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthesising-multi-modal-minority-samples-for-tabular-data-2105.08204"/></url>
<url><loc>https://scifaro.com/en/abs/oneshot-differentially-private-top-k-selection-2105.08233</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oneshot-differentially-private-top-k-selection-2105.08233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oneshot-differentially-private-top-k-selection-2105.08233"/></url>
<url><loc>https://scifaro.com/en/abs/label-inference-attacks-from-log-loss-scores-2105.08266</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-inference-attacks-from-log-loss-scores-2105.08266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-inference-attacks-from-log-loss-scores-2105.08266"/></url>
<url><loc>https://scifaro.com/en/abs/permutation-invariant-policy-optimization-for-mean-field-multi-agent-reinforcement-learning-a-principled-approach-2105.08268</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/permutation-invariant-policy-optimization-for-mean-field-multi-agent-reinforcement-learning-a-principled-approach-2105.08268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/permutation-invariant-policy-optimization-for-mean-field-multi-agent-reinforcement-learning-a-principled-approach-2105.08268"/></url>
<url><loc>https://scifaro.com/en/abs/sparta-spatially-attentive-and-adversarially-robust-activation-2105.08269</loc><lastmod>2022-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparta-spatially-attentive-and-adversarially-robust-activation-2105.08269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparta-spatially-attentive-and-adversarially-robust-activation-2105.08269"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-route-via-theory-guided-residual-network-2105.08279</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-route-via-theory-guided-residual-network-2105.08279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-route-via-theory-guided-residual-network-2105.08279"/></url>
<url><loc>https://scifaro.com/en/abs/independent-asymmetric-embedding-for-information-diffusion-prediction-on-social-networks-2105.08291</loc><lastmod>2022-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/independent-asymmetric-embedding-for-information-diffusion-prediction-on-social-networks-2105.08291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/independent-asymmetric-embedding-for-information-diffusion-prediction-on-social-networks-2105.08291"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-linear-meta-learning-by-alternating-minimization-2105.08306</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-linear-meta-learning-by-alternating-minimization-2105.08306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-linear-meta-learning-by-alternating-minimization-2105.08306"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-recommender-systems-2105.08318</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-recommender-systems-2105.08318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-recommender-systems-2105.08318"/></url>
<url><loc>https://scifaro.com/en/abs/can-self-reported-symptoms-predict-daily-covid-19-cases-2105.08321</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-self-reported-symptoms-predict-daily-covid-19-cases-2105.08321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-self-reported-symptoms-predict-daily-covid-19-cases-2105.08321"/></url>
<url><loc>https://scifaro.com/en/abs/residual-network-and-embedding-usage-new-tricks-of-node-classification-with-graph-convolutional-networks-2105.08330</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-network-and-embedding-usage-new-tricks-of-node-classification-with-graph-convolutional-networks-2105.08330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-network-and-embedding-usage-new-tricks-of-node-classification-with-graph-convolutional-networks-2105.08330"/></url>
<url><loc>https://scifaro.com/en/abs/drive-one-bit-distributed-mean-estimation-2105.08339</loc><lastmod>2021-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drive-one-bit-distributed-mean-estimation-2105.08339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drive-one-bit-distributed-mean-estimation-2105.08339"/></url>
<url><loc>https://scifaro.com/en/abs/online-multimodal-transportation-planning-using-deep-reinforcement-learning-2105.08374</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-multimodal-transportation-planning-using-deep-reinforcement-learning-2105.08374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-multimodal-transportation-planning-using-deep-reinforcement-learning-2105.08374"/></url>
<url><loc>https://scifaro.com/en/abs/stackvae-g-an-efficient-and-interpretable-model-for-time-series-anomaly-detection-2105.08397</loc><lastmod>2022-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stackvae-g-an-efficient-and-interpretable-model-for-time-series-anomaly-detection-2105.08397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stackvae-g-an-efficient-and-interpretable-model-for-time-series-anomaly-detection-2105.08397"/></url>
<url><loc>https://scifaro.com/en/abs/relative-positional-encoding-for-transformers-with-linear-complexity-2105.08399</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-positional-encoding-for-transformers-with-linear-complexity-2105.08399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-positional-encoding-for-transformers-with-linear-complexity-2105.08399"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-assessment-of-alzheimer-s-disease-diagnosis-based-on-deep-learning-techniques-2105.08446</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-assessment-of-alzheimer-s-disease-diagnosis-based-on-deep-learning-techniques-2105.08446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-assessment-of-alzheimer-s-disease-diagnosis-based-on-deep-learning-techniques-2105.08446"/></url>
<url><loc>https://scifaro.com/en/abs/learning-stochastic-dynamical-systems-with-neural-networks-mimicking-the-euler-maruyama-scheme-2105.08449</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-stochastic-dynamical-systems-with-neural-networks-mimicking-the-euler-maruyama-scheme-2105.08449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-stochastic-dynamical-systems-with-neural-networks-mimicking-the-euler-maruyama-scheme-2105.08449"/></url>
<url><loc>https://scifaro.com/en/abs/univariate-long-term-municipal-water-demand-forecasting-2105.08486</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/univariate-long-term-municipal-water-demand-forecasting-2105.08486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/univariate-long-term-municipal-water-demand-forecasting-2105.08486"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-approach-for-inverse-design-of-the-metasurface-for-dual-polarized-waves-2105.08508</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-approach-for-inverse-design-of-the-metasurface-for-dual-polarized-waves-2105.08508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-approach-for-inverse-design-of-the-metasurface-for-dual-polarized-waves-2105.08508"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-constrained-domain-generalization-via-gradient-alignment-2105.08511</loc><lastmod>2023-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-constrained-domain-generalization-via-gradient-alignment-2105.08511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-constrained-domain-generalization-via-gradient-alignment-2105.08511"/></url>
<url><loc>https://scifaro.com/en/abs/transformers-a-grande-vitesse-2105.08526</loc><lastmod>2023-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformers-a-grande-vitesse-2105.08526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformers-a-grande-vitesse-2105.08526"/></url>
<url><loc>https://scifaro.com/en/abs/a-clustering-framework-for-residential-electric-demand-profiles-2105.08537</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-clustering-framework-for-residential-electric-demand-profiles-2105.08537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-clustering-framework-for-residential-electric-demand-profiles-2105.08537"/></url>
<url><loc>https://scifaro.com/en/abs/partitioned-active-learning-for-heterogeneous-systems-2105.08547</loc><lastmod>2023-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partitioned-active-learning-for-heterogeneous-systems-2105.08547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partitioned-active-learning-for-heterogeneous-systems-2105.08547"/></url>
<url><loc>https://scifaro.com/en/abs/multi-aspect-temporal-network-embedding-a-mixture-of-hawkes-process-view-2105.08566</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-aspect-temporal-network-embedding-a-mixture-of-hawkes-process-view-2105.08566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-aspect-temporal-network-embedding-a-mixture-of-hawkes-process-view-2105.08566"/></url>
<url><loc>https://scifaro.com/en/abs/fixed-beta-vae-encoding-for-curious-exploration-in-complex-3d-environments-2105.08568</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixed-beta-vae-encoding-for-curious-exploration-in-complex-3d-environments-2105.08568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixed-beta-vae-encoding-for-curious-exploration-in-complex-3d-environments-2105.08568"/></url>
<url><loc>https://scifaro.com/en/abs/dependent-multi-task-learning-with-causal-intervention-for-image-captioning-2105.08573</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dependent-multi-task-learning-with-causal-intervention-for-image-captioning-2105.08573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dependent-multi-task-learning-with-causal-intervention-for-image-captioning-2105.08573"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-abac-policy-learning-a-reinforcement-learning-approach-2105.08587</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-abac-policy-learning-a-reinforcement-learning-approach-2105.08587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-abac-policy-learning-a-reinforcement-learning-approach-2105.08587"/></url>
<url><loc>https://scifaro.com/en/abs/zorro-valid-sparse-and-stable-explanations-in-graph-neural-networks-2105.08621</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zorro-valid-sparse-and-stable-explanations-in-graph-neural-networks-2105.08621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zorro-valid-sparse-and-stable-explanations-in-graph-neural-networks-2105.08621"/></url>
<url><loc>https://scifaro.com/en/abs/pde-constrained-models-with-neural-network-terms-optimization-and-global-convergence-2105.08633</loc><lastmod>2023-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pde-constrained-models-with-neural-network-terms-optimization-and-global-convergence-2105.08633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pde-constrained-models-with-neural-network-terms-optimization-and-global-convergence-2105.08633"/></url>
<url><loc>https://scifaro.com/en/abs/asm2tv-an-adaptive-semi-supervised-multi-task-multi-view-learning-framework-for-human-activity-recognition-2105.08643</loc><lastmod>2022-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asm2tv-an-adaptive-semi-supervised-multi-task-multi-view-learning-framework-for-human-activity-recognition-2105.08643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asm2tv-an-adaptive-semi-supervised-multi-task-multi-view-learning-framework-for-human-activity-recognition-2105.08643"/></url>
<url><loc>https://scifaro.com/en/abs/dcap-deep-cross-attentional-product-network-for-user-response-prediction-2105.08649</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dcap-deep-cross-attentional-product-network-for-user-response-prediction-2105.08649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dcap-deep-cross-attentional-product-network-for-user-response-prediction-2105.08649"/></url>
<url><loc>https://scifaro.com/en/abs/a-multimodal-deep-learning-framework-for-scalable-content-based-visual-media-retrieval-2105.08665</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multimodal-deep-learning-framework-for-scalable-content-based-visual-media-retrieval-2105.08665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multimodal-deep-learning-framework-for-scalable-content-based-visual-media-retrieval-2105.08665"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-sparse-executing-actions-via-sparsity-regularization-2105.08666</loc><lastmod>2024-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-sparse-executing-actions-via-sparsity-regularization-2105.08666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-sparse-executing-actions-via-sparsity-regularization-2105.08666"/></url>
<url><loc>https://scifaro.com/en/abs/enhancement-of-prediction-algorithms-by-betting-2105.08669</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancement-of-prediction-algorithms-by-betting-2105.08669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancement-of-prediction-algorithms-by-betting-2105.08669"/></url>
<url><loc>https://scifaro.com/en/abs/the-computational-complexity-of-relu-network-training-parameterized-by-data-dimensionality-2105.08675</loc><lastmod>2022-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-computational-complexity-of-relu-network-training-parameterized-by-data-dimensionality-2105.08675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-computational-complexity-of-relu-network-training-parameterized-by-data-dimensionality-2105.08675"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-certification-under-instance-targeted-poisoning-2105.08709</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-certification-under-instance-targeted-poisoning-2105.08709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-certification-under-instance-targeted-poisoning-2105.08709"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-slow-learning-of-recurrent-independent-mechanisms-2105.08710</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-slow-learning-of-recurrent-independent-mechanisms-2105.08710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-slow-learning-of-recurrent-independent-mechanisms-2105.08710"/></url>
<url><loc>https://scifaro.com/en/abs/fighting-gradients-with-gradients-dynamic-defenses-against-adversarial-attacks-2105.08714</loc><lastmod>2021-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fighting-gradients-with-gradients-dynamic-defenses-against-adversarial-attacks-2105.08714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fighting-gradients-with-gradients-dynamic-defenses-against-adversarial-attacks-2105.08714"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-information-in-stochastic-networks-and-queues-2105.08769</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-information-in-stochastic-networks-and-queues-2105.08769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-information-in-stochastic-networks-and-queues-2105.08769"/></url>
<url><loc>https://scifaro.com/en/abs/value-function-is-all-you-need-a-unified-learning-framework-for-ride-hailing-platforms-2105.08791</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/value-function-is-all-you-need-a-unified-learning-framework-for-ride-hailing-platforms-2105.08791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/value-function-is-all-you-need-a-unified-learning-framework-for-ride-hailing-platforms-2105.08791"/></url>
<url><loc>https://scifaro.com/en/abs/masked-contrastive-learning-for-anomaly-detection-2105.08793</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/masked-contrastive-learning-for-anomaly-detection-2105.08793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/masked-contrastive-learning-for-anomaly-detection-2105.08793"/></url>
<url><loc>https://scifaro.com/en/abs/meta-reinforcement-learning-by-tracking-task-non-stationarity-2105.08834</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-reinforcement-learning-by-tracking-task-non-stationarity-2105.08834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-reinforcement-learning-by-tracking-task-non-stationarity-2105.08834"/></url>
<url><loc>https://scifaro.com/en/abs/rx-anon-a-novel-approach-on-the-de-identification-of-heterogeneous-data-based-on-a-modified-mondrian-algorithm-2105.08842</loc><lastmod>2022-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rx-anon-a-novel-approach-on-the-de-identification-of-heterogeneous-data-based-on-a-modified-mondrian-algorithm-2105.08842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rx-anon-a-novel-approach-on-the-de-identification-of-heterogeneous-data-based-on-a-modified-mondrian-algorithm-2105.08842"/></url>
<url><loc>https://scifaro.com/en/abs/gym-anm-open-source-software-to-leverage-reinforcement-learning-for-power-system-management-in-research-and-education-2105.08846</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gym-anm-open-source-software-to-leverage-reinforcement-learning-for-power-system-management-in-research-and-education-2105.08846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gym-anm-open-source-software-to-leverage-reinforcement-learning-for-power-system-management-in-research-and-education-2105.08846"/></url>
<url><loc>https://scifaro.com/en/abs/incentivized-bandit-learning-with-self-reinforcing-user-preferences-2105.08869</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incentivized-bandit-learning-with-self-reinforcing-user-preferences-2105.08869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incentivized-bandit-learning-with-self-reinforcing-user-preferences-2105.08869"/></url>
<url><loc>https://scifaro.com/en/abs/multi-layer-perceptron-trainability-explained-via-variability-2105.08911</loc><lastmod>2023-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-layer-perceptron-trainability-explained-via-variability-2105.08911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-layer-perceptron-trainability-explained-via-variability-2105.08911"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-kullback-leibler-divergence-and-mean-squared-error-loss-in-knowledge-distillation-2105.08919</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-kullback-leibler-divergence-and-mean-squared-error-loss-in-knowledge-distillation-2105.08919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-kullback-leibler-divergence-and-mean-squared-error-loss-in-knowledge-distillation-2105.08919"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-assisted-oxygen-therapy-for-covid-19-patients-under-intensive-care-2105.08923</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-assisted-oxygen-therapy-for-covid-19-patients-under-intensive-care-2105.08923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-assisted-oxygen-therapy-for-covid-19-patients-under-intensive-care-2105.08923"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-processing-emerges-in-neural-networks-solving-math-problems-2105.08961</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-processing-emerges-in-neural-networks-solving-math-problems-2105.08961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-processing-emerges-in-neural-networks-solving-math-problems-2105.08961"/></url>
<url><loc>https://scifaro.com/en/abs/latent-gaussian-model-boosting-2105.08966</loc><lastmod>2022-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-gaussian-model-boosting-2105.08966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-gaussian-model-boosting-2105.08966"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-flight-delay-with-spatio-temporal-trajectory-convolutional-network-and-airport-situational-awareness-map-2105.08969</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-flight-delay-with-spatio-temporal-trajectory-convolutional-network-and-airport-situational-awareness-map-2105.08969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-flight-delay-with-spatio-temporal-trajectory-convolutional-network-and-airport-situational-awareness-map-2105.08969"/></url>
<url><loc>https://scifaro.com/en/abs/prototype-guided-federated-learning-of-visual-feature-representations-2105.08982</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prototype-guided-federated-learning-of-visual-feature-representations-2105.08982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prototype-guided-federated-learning-of-visual-feature-representations-2105.08982"/></url>
<url><loc>https://scifaro.com/en/abs/improved-exploring-starts-by-kernel-density-estimation-based-state-space-coverage-acceleration-in-reinforcement-learning-2105.08990</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-exploring-starts-by-kernel-density-estimation-based-state-space-coverage-acceleration-in-reinforcement-learning-2105.08990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-exploring-starts-by-kernel-density-estimation-based-state-space-coverage-acceleration-in-reinforcement-learning-2105.08990"/></url>
<url><loc>https://scifaro.com/en/abs/when-deep-classifiers-agree-analyzing-correlations-between-learning-order-and-image-statistics-2105.08997</loc><lastmod>2022-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-deep-classifiers-agree-analyzing-correlations-between-learning-order-and-image-statistics-2105.08997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-deep-classifiers-agree-analyzing-correlations-between-learning-order-and-image-statistics-2105.08997"/></url>
<url><loc>https://scifaro.com/en/abs/e-n-equivariant-normalizing-flows-2105.09016</loc><lastmod>2022-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/e-n-equivariant-normalizing-flows-2105.09016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/e-n-equivariant-normalizing-flows-2105.09016"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-gossip-sgd-with-periodic-global-averaging-2105.09080</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-gossip-sgd-with-periodic-global-averaging-2105.09080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-gossip-sgd-with-periodic-global-averaging-2105.09080"/></url>
<url><loc>https://scifaro.com/en/abs/aleatoric-uncertainty-for-errors-in-variables-models-in-deep-regression-2105.09095</loc><lastmod>2023-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aleatoric-uncertainty-for-errors-in-variables-models-in-deep-regression-2105.09095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aleatoric-uncertainty-for-errors-in-variables-models-in-deep-regression-2105.09095"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-heterogeneous-graph-neural-network-with-co-contrastive-learning-2105.09111</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-heterogeneous-graph-neural-network-with-co-contrastive-learning-2105.09111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-heterogeneous-graph-neural-network-with-co-contrastive-learning-2105.09111"/></url>
<url><loc>https://scifaro.com/en/abs/single-layer-vision-transformers-for-more-accurate-early-exits-with-less-overhead-2105.09121</loc><lastmod>2022-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-layer-vision-transformers-for-more-accurate-early-exits-with-less-overhead-2105.09121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-layer-vision-transformers-for-more-accurate-early-exits-with-less-overhead-2105.09121"/></url>
<url><loc>https://scifaro.com/en/abs/periodic-freight-demand-estimation-for-large-scale-tactical-planning-2105.09136</loc><lastmod>2022-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/periodic-freight-demand-estimation-for-large-scale-tactical-planning-2105.09136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/periodic-freight-demand-estimation-for-large-scale-tactical-planning-2105.09136"/></url>
<url><loc>https://scifaro.com/en/abs/physical-constraint-embedded-neural-networks-for-inference-and-noise-regulation-2105.09146</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physical-constraint-embedded-neural-networks-for-inference-and-noise-regulation-2105.09146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physical-constraint-embedded-neural-networks-for-inference-and-noise-regulation-2105.09146"/></url>
<url><loc>https://scifaro.com/en/abs/free-energy-node-embedding-via-generalized-skip-gram-with-negative-sampling-2105.09182</loc><lastmod>2022-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/free-energy-node-embedding-via-generalized-skip-gram-with-negative-sampling-2105.09182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/free-energy-node-embedding-via-generalized-skip-gram-with-negative-sampling-2105.09182"/></url>
<url><loc>https://scifaro.com/en/abs/tool-and-domain-agnostic-parameterization-of-style-transfer-effects-leveraging-pretrained-perceptual-metrics-2105.09207</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tool-and-domain-agnostic-parameterization-of-style-transfer-effects-leveraging-pretrained-perceptual-metrics-2105.09207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tool-and-domain-agnostic-parameterization-of-style-transfer-effects-leveraging-pretrained-perceptual-metrics-2105.09207"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-approximations-for-thompson-sampling-in-the-small-gap-regime-2105.09232</loc><lastmod>2026-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-approximations-for-thompson-sampling-in-the-small-gap-regime-2105.09232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-approximations-for-thompson-sampling-in-the-small-gap-regime-2105.09232"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-variational-inference-with-locally-adaptive-step-sizes-2105.09240</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-variational-inference-with-locally-adaptive-step-sizes-2105.09240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-variational-inference-with-locally-adaptive-step-sizes-2105.09240"/></url>
<url><loc>https://scifaro.com/en/abs/image-to-image-translation-generating-maps-from-satellite-images-2105.09253</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/image-to-image-translation-generating-maps-from-satellite-images-2105.09253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/image-to-image-translation-generating-maps-from-satellite-images-2105.09253"/></url>
<url><loc>https://scifaro.com/en/abs/dumbledr-predicting-user-preferences-of-dimensionality-reduction-projection-quality-2105.09275</loc><lastmod>2021-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dumbledr-predicting-user-preferences-of-dimensionality-reduction-projection-quality-2105.09275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dumbledr-predicting-user-preferences-of-dimensionality-reduction-projection-quality-2105.09275"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-neural-architecture-search-2105.09356</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-neural-architecture-search-2105.09356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-neural-architecture-search-2105.09356"/></url>
<url><loc>https://scifaro.com/en/abs/using-machine-learning-techniques-to-identify-key-risk-factors-for-diabetes-and-undiagnosed-diabetes-2105.09379</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-machine-learning-techniques-to-identify-key-risk-factors-for-diabetes-and-undiagnosed-diabetes-2105.09379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-machine-learning-techniques-to-identify-key-risk-factors-for-diabetes-and-undiagnosed-diabetes-2105.09379"/></url>
<url><loc>https://scifaro.com/en/abs/graph-sanitation-with-application-to-node-classification-2105.09384</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-sanitation-with-application-to-node-classification-2105.09384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-sanitation-with-application-to-node-classification-2105.09384"/></url>
<url><loc>https://scifaro.com/en/abs/balancing-robustness-and-sensitivity-using-feature-contrastive-learning-2105.09394</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balancing-robustness-and-sensitivity-using-feature-contrastive-learning-2105.09394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balancing-robustness-and-sensitivity-using-feature-contrastive-learning-2105.09394"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-contrastive-learning-2105.09401</loc><lastmod>2022-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-contrastive-learning-2105.09401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-contrastive-learning-2105.09401"/></url>
<url><loc>https://scifaro.com/en/abs/disttune-distributed-fine-grained-adaptive-traffic-speed-prediction-for-growing-transportation-networks-2105.09421</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disttune-distributed-fine-grained-adaptive-traffic-speed-prediction-for-growing-transportation-networks-2105.09421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disttune-distributed-fine-grained-adaptive-traffic-speed-prediction-for-growing-transportation-networks-2105.09421"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-health-risk-predictor-with-transformer-based-medicare-claim-encoder-2105.09428</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-health-risk-predictor-with-transformer-based-medicare-claim-encoder-2105.09428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-health-risk-predictor-with-transformer-based-medicare-claim-encoder-2105.09428"/></url>
<url><loc>https://scifaro.com/en/abs/l1-regression-with-lewis-weights-subsampling-2105.09433</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l1-regression-with-lewis-weights-subsampling-2105.09433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l1-regression-with-lewis-weights-subsampling-2105.09433"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-delay-adaptation-in-non-stationary-reinforcement-learning-via-online-high-confidence-change-point-detection-2105.09452</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-delay-adaptation-in-non-stationary-reinforcement-learning-via-online-high-confidence-change-point-detection-2105.09452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-delay-adaptation-in-non-stationary-reinforcement-learning-via-online-high-confidence-change-point-detection-2105.09452"/></url>
<url><loc>https://scifaro.com/en/abs/ai-decision-support-system-interface-using-cancer-related-data-for-lung-cancer-prognosis-2105.09471</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ai-decision-support-system-interface-using-cancer-related-data-for-lung-cancer-prognosis-2105.09471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ai-decision-support-system-interface-using-cancer-related-data-for-lung-cancer-prognosis-2105.09471"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-sources-of-uncertainty-in-drug-discovery-predictions-with-probabilistic-models-2105.09474</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-sources-of-uncertainty-in-drug-discovery-predictions-with-probabilistic-models-2105.09474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-sources-of-uncertainty-in-drug-discovery-predictions-with-probabilistic-models-2105.09474"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-solution-and-inversion-of-structural-mechanics-and-vibrations-2105.09477</loc><lastmod>2022-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-solution-and-inversion-of-structural-mechanics-and-vibrations-2105.09477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-solution-and-inversion-of-structural-mechanics-and-vibrations-2105.09477"/></url>
<url><loc>https://scifaro.com/en/abs/deep-kronecker-neural-networks-a-general-framework-for-neural-networks-with-adaptive-activation-functions-2105.09513</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-kronecker-neural-networks-a-general-framework-for-neural-networks-with-adaptive-activation-functions-2105.09513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-kronecker-neural-networks-a-general-framework-for-neural-networks-with-adaptive-activation-functions-2105.09513"/></url>
<url><loc>https://scifaro.com/en/abs/fed-eini-an-efficient-and-interpretable-inference-framework-for-decision-tree-ensembles-in-federated-learning-2105.09540</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fed-eini-an-efficient-and-interpretable-inference-framework-for-decision-tree-ensembles-in-federated-learning-2105.09540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fed-eini-an-efficient-and-interpretable-inference-framework-for-decision-tree-ensembles-in-federated-learning-2105.09540"/></url>
<url><loc>https://scifaro.com/en/abs/power-law-escape-rate-of-sgd-2105.09557</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-law-escape-rate-of-sgd-2105.09557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-law-escape-rate-of-sgd-2105.09557"/></url>
<url><loc>https://scifaro.com/en/abs/aggregate-learning-for-mixed-frequency-data-2105.09579</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregate-learning-for-mixed-frequency-data-2105.09579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregate-learning-for-mixed-frequency-data-2105.09579"/></url>
<url><loc>https://scifaro.com/en/abs/negational-symmetry-of-quantum-neural-networks-for-binary-pattern-classification-2105.09580</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/negational-symmetry-of-quantum-neural-networks-for-binary-pattern-classification-2105.09580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/negational-symmetry-of-quantum-neural-networks-for-binary-pattern-classification-2105.09580"/></url>
<url><loc>https://scifaro.com/en/abs/see-hear-read-leveraging-multimodality-with-guided-attention-for-abstractive-text-summarization-2105.09601</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/see-hear-read-leveraging-multimodality-with-guided-attention-for-abstractive-text-summarization-2105.09601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/see-hear-read-leveraging-multimodality-with-guided-attention-for-abstractive-text-summarization-2105.09601"/></url>
<url><loc>https://scifaro.com/en/abs/an-exact-poly-time-membership-queries-algorithm-for-extraction-a-three-layer-relu-network-2105.09673</loc><lastmod>2023-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-exact-poly-time-membership-queries-algorithm-for-extraction-a-three-layer-relu-network-2105.09673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-exact-poly-time-membership-queries-algorithm-for-extraction-a-three-layer-relu-network-2105.09673"/></url>
<url><loc>https://scifaro.com/en/abs/bidirectional-lstm-crf-attention-based-model-for-chinese-word-segmentation-2105.09681</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bidirectional-lstm-crf-attention-based-model-for-chinese-word-segmentation-2105.09681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bidirectional-lstm-crf-attention-based-model-for-chinese-word-segmentation-2105.09681"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-activity-recognition-for-smart-home-systems-2105.09787</loc><lastmod>2023-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-activity-recognition-for-smart-home-systems-2105.09787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-activity-recognition-for-smart-home-systems-2105.09787"/></url>
<url><loc>https://scifaro.com/en/abs/monte-carlo-filtering-objectives-a-new-family-of-variational-objectives-to-learn-generative-model-and-neural-adaptive-proposal-for-time-series-2105.09801</loc><lastmod>2021-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/monte-carlo-filtering-objectives-a-new-family-of-variational-objectives-to-learn-generative-model-and-neural-adaptive-proposal-for-time-series-2105.09801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/monte-carlo-filtering-objectives-a-new-family-of-variational-objectives-to-learn-generative-model-and-neural-adaptive-proposal-for-time-series-2105.09801"/></url>
<url><loc>https://scifaro.com/en/abs/dehb-evolutionary-hyperband-for-scalable-robust-and-efficient-hyperparameter-optimization-2105.09821</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dehb-evolutionary-hyperband-for-scalable-robust-and-efficient-hyperparameter-optimization-2105.09821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dehb-evolutionary-hyperband-for-scalable-robust-and-efficient-hyperparameter-optimization-2105.09821"/></url>
<url><loc>https://scifaro.com/en/abs/towards-quantized-model-parallelism-for-graph-augmented-mlps-based-on-gradient-free-admm-framework-2105.09837</loc><lastmod>2022-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-quantized-model-parallelism-for-graph-augmented-mlps-based-on-gradient-free-admm-framework-2105.09837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-quantized-model-parallelism-for-graph-augmented-mlps-based-on-gradient-free-admm-framework-2105.09837"/></url>
<url><loc>https://scifaro.com/en/abs/online-binary-models-are-promising-for-distinguishing-temporally-consistent-computer-usage-profiles-2105.09900</loc><lastmod>2021-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-binary-models-are-promising-for-distinguishing-temporally-consistent-computer-usage-profiles-2105.09900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-binary-models-are-promising-for-distinguishing-temporally-consistent-computer-usage-profiles-2105.09900"/></url>
<url><loc>https://scifaro.com/en/abs/xgboost-energy-consumption-prediction-based-on-multi-system-data-hvac-2105.09945</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xgboost-energy-consumption-prediction-based-on-multi-system-data-hvac-2105.09945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xgboost-energy-consumption-prediction-based-on-multi-system-data-hvac-2105.09945"/></url>
<url><loc>https://scifaro.com/en/abs/wide-deep-neural-network-model-for-patch-aggregation-in-cnn-based-prostate-cancer-detection-systems-2105.09974</loc><lastmod>2022-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wide-deep-neural-network-model-for-patch-aggregation-in-cnn-based-prostate-cancer-detection-systems-2105.09974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wide-deep-neural-network-model-for-patch-aggregation-in-cnn-based-prostate-cancer-detection-systems-2105.09974"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-discovery-of-interpretable-causal-relations-for-deep-learning-material-laws-with-uncertainty-propagation-2105.09980</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-discovery-of-interpretable-causal-relations-for-deep-learning-material-laws-with-uncertainty-propagation-2105.09980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-discovery-of-interpretable-causal-relations-for-deep-learning-material-laws-with-uncertainty-propagation-2105.09980"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-neural-network-weights-using-nature-inspired-algorithms-2105.09983</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-neural-network-weights-using-nature-inspired-algorithms-2105.09983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-neural-network-weights-using-nature-inspired-algorithms-2105.09983"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-model-fairness-under-noisy-covariates-a-theoretical-perspective-2105.09985</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-model-fairness-under-noisy-covariates-a-theoretical-perspective-2105.09985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-model-fairness-under-noisy-covariates-a-theoretical-perspective-2105.09985"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-convolutional-networks-predict-dynamic-oxygen-uptake-response-from-wearable-sensors-across-exercise-intensities-2105.09987</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-convolutional-networks-predict-dynamic-oxygen-uptake-response-from-wearable-sensors-across-exercise-intensities-2105.09987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-convolutional-networks-predict-dynamic-oxygen-uptake-response-from-wearable-sensors-across-exercise-intensities-2105.09987"/></url>
<url><loc>https://scifaro.com/en/abs/multi-group-agnostic-pac-learnability-2105.09989</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-group-agnostic-pac-learnability-2105.09989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-group-agnostic-pac-learnability-2105.09989"/></url>
<url><loc>https://scifaro.com/en/abs/don-t-do-what-doesn-t-matter-intrinsic-motivation-with-action-usefulness-2105.09992</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/don-t-do-what-doesn-t-matter-intrinsic-motivation-with-action-usefulness-2105.09992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/don-t-do-what-doesn-t-matter-intrinsic-motivation-with-action-usefulness-2105.09992"/></url>
<url><loc>https://scifaro.com/en/abs/comment-on-stochastic-polyak-step-size-performance-of-ali-g-2105.10011</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comment-on-stochastic-polyak-step-size-performance-of-ali-g-2105.10011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comment-on-stochastic-polyak-step-size-performance-of-ali-g-2105.10011"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-robustness-over-high-level-driving-instruction-for-autonomous-driving-2105.10014</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-robustness-over-high-level-driving-instruction-for-autonomous-driving-2105.10014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-robustness-over-high-level-driving-instruction-for-autonomous-driving-2105.10014"/></url>
<url><loc>https://scifaro.com/en/abs/cross-domain-imitation-from-observations-2105.10037</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-domain-imitation-from-observations-2105.10037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-domain-imitation-from-observations-2105.10037"/></url>
<url><loc>https://scifaro.com/en/abs/data-free-knowledge-distillation-for-heterogeneous-federated-learning-2105.10056</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-free-knowledge-distillation-for-heterogeneous-federated-learning-2105.10056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-free-knowledge-distillation-for-heterogeneous-federated-learning-2105.10056"/></url>
<url><loc>https://scifaro.com/en/abs/model-compression-2105.10059</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-compression-2105.10059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-compression-2105.10059"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-approach-to-neural-network-pruning-2105.10065</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-approach-to-neural-network-pruning-2105.10065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-approach-to-neural-network-pruning-2105.10065"/></url>
<url><loc>https://scifaro.com/en/abs/towards-automatic-sizing-for-ppe-with-a-point-cloud-based-variational-autoencoder-2105.10067</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-automatic-sizing-for-ppe-with-a-point-cloud-based-variational-autoencoder-2105.10067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-automatic-sizing-for-ppe-with-a-point-cloud-based-variational-autoencoder-2105.10067"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-mining-past-present-and-future-2105.10077</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-mining-past-present-and-future-2105.10077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-mining-past-present-and-future-2105.10077"/></url>
<url><loc>https://scifaro.com/en/abs/escaping-saddle-points-with-compressed-sgd-2105.10090</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/escaping-saddle-points-with-compressed-sgd-2105.10090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/escaping-saddle-points-with-compressed-sgd-2105.10090"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-of-adversarial-examples-using-class-conditional-generative-adversarial-networks-2105.10101</loc><lastmod>2022-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-of-adversarial-examples-using-class-conditional-generative-adversarial-networks-2105.10101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-of-adversarial-examples-using-class-conditional-generative-adversarial-networks-2105.10101"/></url>
<url><loc>https://scifaro.com/en/abs/error-bounds-of-the-invariant-statistics-in-machine-learning-of-ergodic-it-o-diffusions-2105.10102</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-bounds-of-the-invariant-statistics-in-machine-learning-of-ergodic-it-o-diffusions-2105.10102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-bounds-of-the-invariant-statistics-in-machine-learning-of-ergodic-it-o-diffusions-2105.10102"/></url>
<url><loc>https://scifaro.com/en/abs/testrank-bringing-order-into-unlabeled-test-instances-for-deep-learning-tasks-2105.10113</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testrank-bringing-order-into-unlabeled-test-instances-for-deep-learning-tasks-2105.10113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testrank-bringing-order-into-unlabeled-test-instances-for-deep-learning-tasks-2105.10113"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-sufficient-explanations-2105.10118</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-sufficient-explanations-2105.10118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-sufficient-explanations-2105.10118"/></url>
<url><loc>https://scifaro.com/en/abs/certification-of-iterative-predictions-in-bayesian-neural-networks-2105.10134</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certification-of-iterative-predictions-in-bayesian-neural-networks-2105.10134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certification-of-iterative-predictions-in-bayesian-neural-networks-2105.10134"/></url>
<url><loc>https://scifaro.com/en/abs/on-instrumental-variable-regression-for-deep-offline-policy-evaluation-2105.10148</loc><lastmod>2022-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-instrumental-variable-regression-for-deep-offline-policy-evaluation-2105.10148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-instrumental-variable-regression-for-deep-offline-policy-evaluation-2105.10148"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-machine-learning-with-prior-knowledge-an-overview-2105.10172</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-machine-learning-with-prior-knowledge-an-overview-2105.10172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-machine-learning-with-prior-knowledge-an-overview-2105.10172"/></url>
<url><loc>https://scifaro.com/en/abs/angulargrad-a-new-optimization-technique-for-angular-convergence-of-convolutional-neural-networks-2105.10190</loc><lastmod>2023-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/angulargrad-a-new-optimization-technique-for-angular-convergence-of-convolutional-neural-networks-2105.10190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/angulargrad-a-new-optimization-technique-for-angular-convergence-of-convolutional-neural-networks-2105.10190"/></url>
<url><loc>https://scifaro.com/en/abs/yes-we-care-certification-for-machine-learning-methods-through-the-care-label-framework-2105.10197</loc><lastmod>2022-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/yes-we-care-certification-for-machine-learning-methods-through-the-care-label-framework-2105.10197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/yes-we-care-certification-for-machine-learning-methods-through-the-care-label-framework-2105.10197"/></url>
<url><loc>https://scifaro.com/en/abs/gan-pretraining-for-deep-convolutional-autoencoders-applied-to-software-based-fingerprint-presentation-attack-detection-2105.10213</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gan-pretraining-for-deep-convolutional-autoencoders-applied-to-software-based-fingerprint-presentation-attack-detection-2105.10213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gan-pretraining-for-deep-convolutional-autoencoders-applied-to-software-based-fingerprint-presentation-attack-detection-2105.10213"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-and-leaky-maximum-propagation-2105.10277</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-and-leaky-maximum-propagation-2105.10277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-and-leaky-maximum-propagation-2105.10277"/></url>
<url><loc>https://scifaro.com/en/abs/on-explaining-random-forests-with-sat-2105.10278</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-explaining-random-forests-with-sat-2105.10278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-explaining-random-forests-with-sat-2105.10278"/></url>
<url><loc>https://scifaro.com/en/abs/trimming-feature-extraction-and-inference-for-mcu-based-edge-nilm-a-systematic-approach-2105.10302</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trimming-feature-extraction-and-inference-for-mcu-based-edge-nilm-a-systematic-approach-2105.10302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trimming-feature-extraction-and-inference-for-mcu-based-edge-nilm-a-systematic-approach-2105.10302"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-misclassifications-of-robust-neural-networks-to-enhance-adversarial-attacks-2105.10304</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-misclassifications-of-robust-neural-networks-to-enhance-adversarial-attacks-2105.10304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-misclassifications-of-robust-neural-networks-to-enhance-adversarial-attacks-2105.10304"/></url>
<url><loc>https://scifaro.com/en/abs/correlated-input-dependent-label-noise-in-large-scale-image-classification-2105.10305</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlated-input-dependent-label-noise-in-large-scale-image-classification-2105.10305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlated-input-dependent-label-noise-in-large-scale-image-classification-2105.10305"/></url>
<url><loc>https://scifaro.com/en/abs/definite-non-ancestral-relations-and-structure-learning-2105.10350</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/definite-non-ancestral-relations-and-structure-learning-2105.10350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/definite-non-ancestral-relations-and-structure-learning-2105.10350"/></url>
<url><loc>https://scifaro.com/en/abs/development-and-evaluation-of-an-explainable-prediction-model-for-chronic-kidney-disease-patients-based-on-ensemble-trees-2105.10368</loc><lastmod>2023-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/development-and-evaluation-of-an-explainable-prediction-model-for-chronic-kidney-disease-patients-based-on-ensemble-trees-2105.10368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/development-and-evaluation-of-an-explainable-prediction-model-for-chronic-kidney-disease-patients-based-on-ensemble-trees-2105.10368"/></url>
<url><loc>https://scifaro.com/en/abs/a-precise-performance-analysis-of-support-vector-regression-2105.10373</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-precise-performance-analysis-of-support-vector-regression-2105.10373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-precise-performance-analysis-of-support-vector-regression-2105.10373"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-filters-in-graph-convolutional-neural-networks-2105.10377</loc><lastmod>2023-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-filters-in-graph-convolutional-neural-networks-2105.10377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-filters-in-graph-convolutional-neural-networks-2105.10377"/></url>
<url><loc>https://scifaro.com/en/abs/word-level-text-highlighting-of-medical-texts-for-telehealth-services-2105.10400</loc><lastmod>2022-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/word-level-text-highlighting-of-medical-texts-for-telehealth-services-2105.10400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/word-level-text-highlighting-of-medical-texts-for-telehealth-services-2105.10400"/></url>
<url><loc>https://scifaro.com/en/abs/sheaves-as-a-framework-for-understanding-and-interpreting-model-fit-2105.10414</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sheaves-as-a-framework-for-understanding-and-interpreting-model-fit-2105.10414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sheaves-as-a-framework-for-understanding-and-interpreting-model-fit-2105.10414"/></url>
<url><loc>https://scifaro.com/en/abs/low-memory-implementations-of-ridge-solutions-for-broad-learning-system-with-incremental-learning-2105.10424</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-memory-implementations-of-ridge-solutions-for-broad-learning-system-with-incremental-learning-2105.10424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-memory-implementations-of-ridge-solutions-for-broad-learning-system-with-incremental-learning-2105.10424"/></url>
<url><loc>https://scifaro.com/en/abs/multi-horizon-forecasting-for-limit-order-books-novel-deep-learning-approaches-and-hardware-acceleration-using-intelligent-processing-units-2105.10430</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-horizon-forecasting-for-limit-order-books-novel-deep-learning-approaches-and-hardware-acceleration-using-intelligent-processing-units-2105.10430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-horizon-forecasting-for-limit-order-books-novel-deep-learning-approaches-and-hardware-acceleration-using-intelligent-processing-units-2105.10430"/></url>
<url><loc>https://scifaro.com/en/abs/redunet-a-white-box-deep-network-from-the-principle-of-maximizing-rate-reduction-2105.10446</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/redunet-a-white-box-deep-network-from-the-principle-of-maximizing-rate-reduction-2105.10446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/redunet-a-white-box-deep-network-from-the-principle-of-maximizing-rate-reduction-2105.10446"/></url>
<url><loc>https://scifaro.com/en/abs/distinguishing-artefacts-evaluating-the-saturation-point-of-convolutional-neural-networks-2105.10448</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distinguishing-artefacts-evaluating-the-saturation-point-of-convolutional-neural-networks-2105.10448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distinguishing-artefacts-evaluating-the-saturation-point-of-convolutional-neural-networks-2105.10448"/></url>
<url><loc>https://scifaro.com/en/abs/elliptical-ordinal-embedding-2105.10457</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elliptical-ordinal-embedding-2105.10457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elliptical-ordinal-embedding-2105.10457"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-error-bound-for-hyperbolic-ordinal-embedding-2105.10475</loc><lastmod>2021-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-error-bound-for-hyperbolic-ordinal-embedding-2105.10475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-error-bound-for-hyperbolic-ordinal-embedding-2105.10475"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-temporal-conv-sequence-learning-with-accident-encoding-for-traffic-flow-prediction-2105.10478</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-temporal-conv-sequence-learning-with-accident-encoding-for-traffic-flow-prediction-2105.10478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-temporal-conv-sequence-learning-with-accident-encoding-for-traffic-flow-prediction-2105.10478"/></url>
<url><loc>https://scifaro.com/en/abs/feature-encoding-with-autoencoders-for-weakly-supervised-anomaly-detection-2105.10500</loc><lastmod>2021-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-encoding-with-autoencoders-for-weakly-supervised-anomaly-detection-2105.10500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-encoding-with-autoencoders-for-weakly-supervised-anomaly-detection-2105.10500"/></url>
<url><loc>https://scifaro.com/en/abs/hyfed-a-hybrid-federated-framework-for-privacy-preserving-machine-learning-2105.10545</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyfed-a-hybrid-federated-framework-for-privacy-preserving-machine-learning-2105.10545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyfed-a-hybrid-federated-framework-for-privacy-preserving-machine-learning-2105.10545"/></url>
<url><loc>https://scifaro.com/en/abs/properties-of-the-after-kernel-2105.10585</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/properties-of-the-after-kernel-2105.10585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/properties-of-the-after-kernel-2105.10585"/></url>
<url><loc>https://scifaro.com/en/abs/techniques-toward-optimizing-viewability-in-rtb-ad-campaigns-using-reinforcement-learning-2105.10587</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/techniques-toward-optimizing-viewability-in-rtb-ad-campaigns-using-reinforcement-learning-2105.10587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/techniques-toward-optimizing-viewability-in-rtb-ad-campaigns-using-reinforcement-learning-2105.10587"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-amplification-via-bernoulli-sampling-2105.10594</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-amplification-via-bernoulli-sampling-2105.10594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-amplification-via-bernoulli-sampling-2105.10594"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-blocking-bandits-with-stochastic-delays-2105.10625</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-blocking-bandits-with-stochastic-delays-2105.10625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-blocking-bandits-with-stochastic-delays-2105.10625"/></url>
<url><loc>https://scifaro.com/en/abs/two-stage-training-for-learning-from-label-proportions-2105.10635</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-stage-training-for-learning-from-label-proportions-2105.10635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-stage-training-for-learning-from-label-proportions-2105.10635"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-and-generalized-framework-for-adversarial-graph-embedding-2105.10651</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-and-generalized-framework-for-adversarial-graph-embedding-2105.10651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-and-generalized-framework-for-adversarial-graph-embedding-2105.10651"/></url>
<url><loc>https://scifaro.com/en/abs/feasible-actor-critic-constrained-reinforcement-learning-for-ensuring-statewise-safety-2105.10682</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feasible-actor-critic-constrained-reinforcement-learning-for-ensuring-statewise-safety-2105.10682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feasible-actor-critic-constrained-reinforcement-learning-for-ensuring-statewise-safety-2105.10682"/></url>
<url><loc>https://scifaro.com/en/abs/denoising-noisy-neural-networks-a-bayesian-approach-with-compensation-2105.10699</loc><lastmod>2023-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/denoising-noisy-neural-networks-a-bayesian-approach-with-compensation-2105.10699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/denoising-noisy-neural-networks-a-bayesian-approach-with-compensation-2105.10699"/></url>
<url><loc>https://scifaro.com/en/abs/inclusion-of-domain-knowledge-into-gnns-using-mode-directed-inverse-entailment-2105.10709</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inclusion-of-domain-knowledge-into-gnns-using-mode-directed-inverse-entailment-2105.10709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inclusion-of-domain-knowledge-into-gnns-using-mode-directed-inverse-entailment-2105.10709"/></url>
<url><loc>https://scifaro.com/en/abs/can-we-faithfully-represent-masked-states-to-compute-shapley-values-on-a-dnn-2105.10719</loc><lastmod>2023-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-we-faithfully-represent-masked-states-to-compute-shapley-values-on-a-dnn-2105.10719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-we-faithfully-represent-masked-states-to-compute-shapley-values-on-a-dnn-2105.10719"/></url>
<url><loc>https://scifaro.com/en/abs/from-finite-to-countable-armed-bandits-2105.10721</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-finite-to-countable-armed-bandits-2105.10721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-finite-to-countable-armed-bandits-2105.10721"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-regression-based-single-event-transient-modeling-method-for-circuit-level-simulation-2105.10723</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-regression-based-single-event-transient-modeling-method-for-circuit-level-simulation-2105.10723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-regression-based-single-event-transient-modeling-method-for-circuit-level-simulation-2105.10723"/></url>
<url><loc>https://scifaro.com/en/abs/autolrs-automatic-learning-rate-schedule-by-bayesian-optimization-on-the-fly-2105.10762</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autolrs-automatic-learning-rate-schedule-by-bayesian-optimization-on-the-fly-2105.10762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autolrs-automatic-learning-rate-schedule-by-bayesian-optimization-on-the-fly-2105.10762"/></url>
<url><loc>https://scifaro.com/en/abs/generation-and-analysis-of-feature-dependent-pseudo-noise-for-training-deep-neural-networks-2105.10796</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generation-and-analysis-of-feature-dependent-pseudo-noise-for-training-deep-neural-networks-2105.10796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generation-and-analysis-of-feature-dependent-pseudo-noise-for-training-deep-neural-networks-2105.10796"/></url>
<url><loc>https://scifaro.com/en/abs/novel-deep-learning-architecture-for-heart-disease-prediction-using-convolutional-neural-network-2105.10816</loc><lastmod>2024-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novel-deep-learning-architecture-for-heart-disease-prediction-using-convolutional-neural-network-2105.10816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novel-deep-learning-architecture-for-heart-disease-prediction-using-convolutional-neural-network-2105.10816"/></url>
<url><loc>https://scifaro.com/en/abs/hypergraph-pre-training-with-graph-neural-networks-2105.10862</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypergraph-pre-training-with-graph-neural-networks-2105.10862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypergraph-pre-training-with-graph-neural-networks-2105.10862"/></url>
<url><loc>https://scifaro.com/en/abs/towards-artificial-intelligence-enabled-financial-crime-detection-2105.10866</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-artificial-intelligence-enabled-financial-crime-detection-2105.10866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-artificial-intelligence-enabled-financial-crime-detection-2105.10866"/></url>
<url><loc>https://scifaro.com/en/abs/depressionnet-a-novel-summarization-boosted-deep-framework-for-depression-detection-on-social-media-2105.10878</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depressionnet-a-novel-summarization-boosted-deep-framework-for-depression-detection-on-social-media-2105.10878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depressionnet-a-novel-summarization-boosted-deep-framework-for-depression-detection-on-social-media-2105.10878"/></url>
<url><loc>https://scifaro.com/en/abs/rtfps-an-interactive-map-that-visualizes-and-predicts-wildfires-in-the-us-2105.10880</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rtfps-an-interactive-map-that-visualizes-and-predicts-wildfires-in-the-us-2105.10880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rtfps-an-interactive-map-that-visualizes-and-predicts-wildfires-in-the-us-2105.10880"/></url>
<url><loc>https://scifaro.com/en/abs/thp-topological-hawkes-processes-for-learning-causal-structure-on-event-sequences-2105.10884</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thp-topological-hawkes-processes-for-learning-causal-structure-on-event-sequences-2105.10884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thp-topological-hawkes-processes-for-learning-causal-structure-on-event-sequences-2105.10884"/></url>
<url><loc>https://scifaro.com/en/abs/continual-world-a-robotic-benchmark-for-continual-reinforcement-learning-2105.10919</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-world-a-robotic-benchmark-for-continual-reinforcement-learning-2105.10919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-world-a-robotic-benchmark-for-continual-reinforcement-learning-2105.10919"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-can-help-mitigate-poisoning-attacks-with-the-right-hyperparameters-2105.10948</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-can-help-mitigate-poisoning-attacks-with-the-right-hyperparameters-2105.10948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-can-help-mitigate-poisoning-attacks-with-the-right-hyperparameters-2105.10948"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-imbalance-handling-by-various-data-sampling-methods-in-binary-classification-2105.10959</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-imbalance-handling-by-various-data-sampling-methods-in-binary-classification-2105.10959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-imbalance-handling-by-various-data-sampling-methods-in-binary-classification-2105.10959"/></url>
<url><loc>https://scifaro.com/en/abs/post-training-sparsity-aware-quantization-2105.11010</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-training-sparsity-aware-quantization-2105.11010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-training-sparsity-aware-quantization-2105.11010"/></url>
<url><loc>https://scifaro.com/en/abs/compressing-heavy-tailed-weight-matrices-for-non-vacuous-generalization-bounds-2105.11025</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressing-heavy-tailed-weight-matrices-for-non-vacuous-generalization-bounds-2105.11025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressing-heavy-tailed-weight-matrices-for-non-vacuous-generalization-bounds-2105.11025"/></url>
<url><loc>https://scifaro.com/en/abs/fast-federated-learning-by-balancing-communication-trade-offs-2105.11028</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-federated-learning-by-balancing-communication-trade-offs-2105.11028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-federated-learning-by-balancing-communication-trade-offs-2105.11028"/></url>
<url><loc>https://scifaro.com/en/abs/sleeptransformer-automatic-sleep-staging-with-interpretability-and-uncertainty-quantification-2105.11043</loc><lastmod>2022-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sleeptransformer-automatic-sleep-staging-with-interpretability-and-uncertainty-quantification-2105.11043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sleeptransformer-automatic-sleep-staging-with-interpretability-and-uncertainty-quantification-2105.11043"/></url>
<url><loc>https://scifaro.com/en/abs/learning-green-s-functions-of-linear-reaction-diffusion-equations-with-application-to-fast-numerical-solver-2105.11045</loc><lastmod>2022-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-green-s-functions-of-linear-reaction-diffusion-equations-with-application-to-fast-numerical-solver-2105.11045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-green-s-functions-of-linear-reaction-diffusion-equations-with-application-to-fast-numerical-solver-2105.11045"/></url>
<url><loc>https://scifaro.com/en/abs/policy-mirror-descent-for-regularized-reinforcement-learning-a-generalized-framework-with-linear-convergence-2105.11066</loc><lastmod>2023-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-mirror-descent-for-regularized-reinforcement-learning-a-generalized-framework-with-linear-convergence-2105.11066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-mirror-descent-for-regularized-reinforcement-learning-a-generalized-framework-with-linear-convergence-2105.11066"/></url>
<url><loc>https://scifaro.com/en/abs/infofair-information-theoretic-intersectional-fairness-2105.11069</loc><lastmod>2023-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infofair-information-theoretic-intersectional-fairness-2105.11069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infofair-information-theoretic-intersectional-fairness-2105.11069"/></url>
<url><loc>https://scifaro.com/en/abs/fed-nilm-a-federated-learning-based-non-intrusive-load-monitoring-method-for-privacy-protection-2105.11085</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fed-nilm-a-federated-learning-based-non-intrusive-load-monitoring-method-for-privacy-protection-2105.11085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fed-nilm-a-federated-learning-based-non-intrusive-load-monitoring-method-for-privacy-protection-2105.11085"/></url>
<url><loc>https://scifaro.com/en/abs/federated-graph-learning-a-position-paper-2105.11099</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-graph-learning-a-position-paper-2105.11099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-graph-learning-a-position-paper-2105.11099"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-graph-representation-learning-with-relation-awareness-2105.11122</loc><lastmod>2022-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-graph-representation-learning-with-relation-awareness-2105.11122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-graph-representation-learning-with-relation-awareness-2105.11122"/></url>
<url><loc>https://scifaro.com/en/abs/cascading-bandit-under-differential-privacy-2105.11126</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cascading-bandit-under-differential-privacy-2105.11126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cascading-bandit-under-differential-privacy-2105.11126"/></url>
<url><loc>https://scifaro.com/en/abs/improved-ood-generalization-via-adversarial-training-and-pre-training-2105.11144</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-ood-generalization-via-adversarial-training-and-pre-training-2105.11144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-ood-generalization-via-adversarial-training-and-pre-training-2105.11144"/></url>
<url><loc>https://scifaro.com/en/abs/novel-ann-method-for-solving-ordinary-and-fractional-black-scholes-equation-2105.11240</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novel-ann-method-for-solving-ordinary-and-fractional-black-scholes-equation-2105.11240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novel-ann-method-for-solving-ordinary-and-fractional-black-scholes-equation-2105.11240"/></url>
<url><loc>https://scifaro.com/en/abs/optimized-conformal-classification-using-gradient-descent-approximation-2105.11255</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimized-conformal-classification-using-gradient-descent-approximation-2105.11255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimized-conformal-classification-using-gradient-descent-approximation-2105.11255"/></url>
<url><loc>https://scifaro.com/en/abs/efficiently-solving-high-order-and-nonlinear-odes-with-rational-fraction-polynomial-the-ratio-net-2105.11309</loc><lastmod>2024-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiently-solving-high-order-and-nonlinear-odes-with-rational-fraction-polynomial-the-ratio-net-2105.11309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiently-solving-high-order-and-nonlinear-odes-with-rational-fraction-polynomial-the-ratio-net-2105.11309"/></url>
<url><loc>https://scifaro.com/en/abs/room-clearance-with-feudal-hierarchical-reinforcement-learning-2105.11328</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/room-clearance-with-feudal-hierarchical-reinforcement-learning-2105.11328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/room-clearance-with-feudal-hierarchical-reinforcement-learning-2105.11328"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-hankel-tensor-completion-for-traffic-speed-estimation-2105.11335</loc><lastmod>2022-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-hankel-tensor-completion-for-traffic-speed-estimation-2105.11335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-hankel-tensor-completion-for-traffic-speed-estimation-2105.11335"/></url>
<url><loc>https://scifaro.com/en/abs/position-sensing-graph-neural-networks-proactively-learning-nodes-relative-positions-2105.11346</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/position-sensing-graph-neural-networks-proactively-learning-nodes-relative-positions-2105.11346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/position-sensing-graph-neural-networks-proactively-learning-nodes-relative-positions-2105.11346"/></url>
<url><loc>https://scifaro.com/en/abs/gmac-a-distributional-perspective-on-actor-critic-framework-2105.11366</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gmac-a-distributional-perspective-on-actor-critic-framework-2105.11366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gmac-a-distributional-perspective-on-actor-critic-framework-2105.11366"/></url>
<url><loc>https://scifaro.com/en/abs/fedscale-benchmarking-model-and-system-performance-of-federated-learning-at-scale-2105.11367</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedscale-benchmarking-model-and-system-performance-of-federated-learning-at-scale-2105.11367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedscale-benchmarking-model-and-system-performance-of-federated-learning-at-scale-2105.11367"/></url>
<url><loc>https://scifaro.com/en/abs/skew-orthogonal-convolutions-2105.11417</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skew-orthogonal-convolutions-2105.11417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skew-orthogonal-convolutions-2105.11417"/></url>
<url><loc>https://scifaro.com/en/abs/cost-accuracy-aware-adaptive-labeling-for-active-learning-2105.11418</loc><lastmod>2021-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-accuracy-aware-adaptive-labeling-for-active-learning-2105.11418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-accuracy-aware-adaptive-labeling-for-active-learning-2105.11418"/></url>
<url><loc>https://scifaro.com/en/abs/2nd-order-updates-with-1st-order-complexity-2105.11439</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/2nd-order-updates-with-1st-order-complexity-2105.11439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/2nd-order-updates-with-1st-order-complexity-2105.11439"/></url>
<url><loc>https://scifaro.com/en/abs/improving-semiconductor-device-modeling-for-electronic-design-automation-by-machine-learning-techniques-2105.11453</loc><lastmod>2023-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-semiconductor-device-modeling-for-electronic-design-automation-by-machine-learning-techniques-2105.11453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-semiconductor-device-modeling-for-electronic-design-automation-by-machine-learning-techniques-2105.11453"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-of-images-with-strong-rotational-disorder-assembling-nanoparticle-libraries-2105.11475</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-of-images-with-strong-rotational-disorder-assembling-nanoparticle-libraries-2105.11475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-of-images-with-strong-rotational-disorder-assembling-nanoparticle-libraries-2105.11475"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-local-kernels-formulation-of-mutual-information-with-application-to-active-post-seismic-building-damage-inference-2105.11492</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-local-kernels-formulation-of-mutual-information-with-application-to-active-post-seismic-building-damage-inference-2105.11492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-local-kernels-formulation-of-mutual-information-with-application-to-active-post-seismic-building-damage-inference-2105.11492"/></url>
<url><loc>https://scifaro.com/en/abs/deep-descriptive-clustering-2105.11549</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-descriptive-clustering-2105.11549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-descriptive-clustering-2105.11549"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-offline-and-streaming-algorithms-for-learning-non-linear-dynamical-systems-2105.11558</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-offline-and-streaming-algorithms-for-learning-non-linear-dynamical-systems-2105.11558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-offline-and-streaming-algorithms-for-learning-non-linear-dynamical-systems-2105.11558"/></url>
<url><loc>https://scifaro.com/en/abs/robust-fairness-aware-learning-under-sample-selection-bias-2105.11570</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-fairness-aware-learning-under-sample-selection-bias-2105.11570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-fairness-aware-learning-under-sample-selection-bias-2105.11570"/></url>
<url><loc>https://scifaro.com/en/abs/hin-rnn-a-graph-representation-learning-neural-network-for-fraudster-group-detection-with-no-handcrafted-features-2105.11602</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hin-rnn-a-graph-representation-learning-neural-network-for-fraudster-group-detection-with-no-handcrafted-features-2105.11602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hin-rnn-a-graph-representation-learning-neural-network-for-fraudster-group-detection-with-no-handcrafted-features-2105.11602"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-reward-functions-in-q-learning-applied-to-a-cart-position-problem-2105.11617</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-reward-functions-in-q-learning-applied-to-a-cart-position-problem-2105.11617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-reward-functions-in-q-learning-applied-to-a-cart-position-problem-2105.11617"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-gnn-boosting-algorithm-for-graph-networks-on-imbalanced-node-classification-2105.11625</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-gnn-boosting-algorithm-for-graph-networks-on-imbalanced-node-classification-2105.11625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-gnn-boosting-algorithm-for-graph-networks-on-imbalanced-node-classification-2105.11625"/></url>
<url><loc>https://scifaro.com/en/abs/robust-principal-component-analysis-using-a-novel-kernel-related-with-the-l1-norm-2105.11634</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-principal-component-analysis-using-a-novel-kernel-related-with-the-l1-norm-2105.11634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-principal-component-analysis-using-a-novel-kernel-related-with-the-l1-norm-2105.11634"/></url>
<url><loc>https://scifaro.com/en/abs/safe-model-based-off-policy-reinforcement-learning-for-eco-driving-in-connected-and-automated-hybrid-electric-vehicles-2105.11640</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-model-based-off-policy-reinforcement-learning-for-eco-driving-in-connected-and-automated-hybrid-electric-vehicles-2105.11640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-model-based-off-policy-reinforcement-learning-for-eco-driving-in-connected-and-automated-hybrid-electric-vehicles-2105.11640"/></url>
<url><loc>https://scifaro.com/en/abs/structured-convolutional-kernel-networks-for-airline-crew-scheduling-2105.11646</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-convolutional-kernel-networks-for-airline-crew-scheduling-2105.11646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-convolutional-kernel-networks-for-airline-crew-scheduling-2105.11646"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-hierarchical-agglomerative-clustering-to-billion-sized-datasets-2105.11653</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-hierarchical-agglomerative-clustering-to-billion-sized-datasets-2105.11653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-hierarchical-agglomerative-clustering-to-billion-sized-datasets-2105.11653"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-asymmetric-reinforcement-learning-under-partial-observability-2105.11674</loc><lastmod>2022-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-asymmetric-reinforcement-learning-under-partial-observability-2105.11674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-asymmetric-reinforcement-learning-under-partial-observability-2105.11674"/></url>
<url><loc>https://scifaro.com/en/abs/an-upper-limit-of-decaying-rate-with-respect-to-frequency-in-deep-neural-network-2105.11675</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-upper-limit-of-decaying-rate-with-respect-to-frequency-in-deep-neural-network-2105.11675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-upper-limit-of-decaying-rate-with-respect-to-frequency-in-deep-neural-network-2105.11675"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-and-end-to-end-learning-for-audio-compression-2105.11681</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-and-end-to-end-learning-for-audio-compression-2105.11681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-and-end-to-end-learning-for-audio-compression-2105.11681"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-the-condensation-of-neural-networks-at-initial-training-2105.11686</loc><lastmod>2022-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-the-condensation-of-neural-networks-at-initial-training-2105.11686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-the-condensation-of-neural-networks-at-initial-training-2105.11686"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-graph-representation-learning-via-topology-transformations-2105.11689</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-graph-representation-learning-via-topology-transformations-2105.11689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-graph-representation-learning-via-topology-transformations-2105.11689"/></url>
<url><loc>https://scifaro.com/en/abs/fnas-uncertainty-aware-fast-neural-architecture-search-2105.11694</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fnas-uncertainty-aware-fast-neural-architecture-search-2105.11694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fnas-uncertainty-aware-fast-neural-architecture-search-2105.11694"/></url>
<url><loc>https://scifaro.com/en/abs/pytorch-explain-a-python-library-for-logic-explained-networks-2105.11697</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pytorch-explain-a-python-library-for-logic-explained-networks-2105.11697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pytorch-explain-a-python-library-for-logic-explained-networks-2105.11697"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-of-elm-based-experts-with-trainable-gating-network-2105.11706</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-of-elm-based-experts-with-trainable-gating-network-2105.11706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-of-elm-based-experts-with-trainable-gating-network-2105.11706"/></url>
<url><loc>https://scifaro.com/en/abs/there-is-no-data-like-more-data-current-status-of-machine-learning-datasets-in-remote-sensing-2105.11726</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/there-is-no-data-like-more-data-current-status-of-machine-learning-datasets-in-remote-sensing-2105.11726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/there-is-no-data-like-more-data-current-status-of-machine-learning-datasets-in-remote-sensing-2105.11726"/></url>
<url><loc>https://scifaro.com/en/abs/utterance-partitioning-for-speaker-recognition-an-experimental-review-and-analysis-with-new-findings-under-gmm-svm-framework-2105.11728</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/utterance-partitioning-for-speaker-recognition-an-experimental-review-and-analysis-with-new-findings-under-gmm-svm-framework-2105.11728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/utterance-partitioning-for-speaker-recognition-an-experimental-review-and-analysis-with-new-findings-under-gmm-svm-framework-2105.11728"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-autoencoder-based-error-bounded-compression-for-scientific-data-2105.11730</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-autoencoder-based-error-bounded-compression-for-scientific-data-2105.11730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-autoencoder-based-error-bounded-compression-for-scientific-data-2105.11730"/></url>
<url><loc>https://scifaro.com/en/abs/the-perturbed-prox-preconditioned-spider-algorithm-for-em-based-large-scale-learning-2105.11732</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-perturbed-prox-preconditioned-spider-algorithm-for-em-based-large-scale-learning-2105.11732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-perturbed-prox-preconditioned-spider-algorithm-for-em-based-large-scale-learning-2105.11732"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-based-on-graph-consensus-term-for-multi-view-learning-2105.11781</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-based-on-graph-consensus-term-for-multi-view-learning-2105.11781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-based-on-graph-consensus-term-for-multi-view-learning-2105.11781"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-few-shot-learning-and-adaptation-new-challenges-of-support-query-shift-2105.11804</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-few-shot-learning-and-adaptation-new-challenges-of-support-query-shift-2105.11804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-few-shot-learning-and-adaptation-new-challenges-of-support-query-shift-2105.11804"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalised-inverse-reinforcement-learning-framework-2105.11812</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalised-inverse-reinforcement-learning-framework-2105.11812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalised-inverse-reinforcement-learning-framework-2105.11812"/></url>
<url><loc>https://scifaro.com/en/abs/public-transportation-demand-analysis-a-case-study-of-metropolitan-lagos-2105.11816</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/public-transportation-demand-analysis-a-case-study-of-metropolitan-lagos-2105.11816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/public-transportation-demand-analysis-a-case-study-of-metropolitan-lagos-2105.11816"/></url>
<url><loc>https://scifaro.com/en/abs/reproducibility-companion-paper-knowledge-enhanced-neural-fashion-trend-forecasting-2105.11826</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reproducibility-companion-paper-knowledge-enhanced-neural-fashion-trend-forecasting-2105.11826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reproducibility-companion-paper-knowledge-enhanced-neural-fashion-trend-forecasting-2105.11826"/></url>
<url><loc>https://scifaro.com/en/abs/dibs-differentiable-bayesian-structure-learning-2105.11839</loc><lastmod>2021-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dibs-differentiable-bayesian-structure-learning-2105.11839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dibs-differentiable-bayesian-structure-learning-2105.11839"/></url>
<url><loc>https://scifaro.com/en/abs/gcnboost-artwork-classification-by-label-propagation-through-a-knowledge-graph-2105.11852</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gcnboost-artwork-classification-by-label-propagation-through-a-knowledge-graph-2105.11852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gcnboost-artwork-classification-by-label-propagation-through-a-knowledge-graph-2105.11852"/></url>
<url><loc>https://scifaro.com/en/abs/graphfm-graph-factorization-machines-for-feature-interaction-modeling-2105.11866</loc><lastmod>2025-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphfm-graph-factorization-machines-for-feature-interaction-modeling-2105.11866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphfm-graph-factorization-machines-for-feature-interaction-modeling-2105.11866"/></url>
<url><loc>https://scifaro.com/en/abs/towards-scalable-verification-of-deep-reinforcement-learning-2105.11931</loc><lastmod>2021-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-scalable-verification-of-deep-reinforcement-learning-2105.11931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-scalable-verification-of-deep-reinforcement-learning-2105.11931"/></url>
<url><loc>https://scifaro.com/en/abs/learning-generative-prior-with-latent-space-sparsity-constraints-2105.11956</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-generative-prior-with-latent-space-sparsity-constraints-2105.11956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-generative-prior-with-latent-space-sparsity-constraints-2105.11956"/></url>
<url><loc>https://scifaro.com/en/abs/towards-teachable-autotelic-agents-2105.11977</loc><lastmod>2023-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-teachable-autotelic-agents-2105.11977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-teachable-autotelic-agents-2105.11977"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-sampling-density-for-nonparametric-regression-2105.11990</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-sampling-density-for-nonparametric-regression-2105.11990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-sampling-density-for-nonparametric-regression-2105.11990"/></url>
<url><loc>https://scifaro.com/en/abs/super-tickets-in-pre-trained-language-models-from-model-compression-to-improving-generalization-2105.12002</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/super-tickets-in-pre-trained-language-models-from-model-compression-to-improving-generalization-2105.12002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/super-tickets-in-pre-trained-language-models-from-model-compression-to-improving-generalization-2105.12002"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-subspace-learning-for-dimensionality-reduction-to-improve-classification-accuracy-in-large-data-sets-2105.12005</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-subspace-learning-for-dimensionality-reduction-to-improve-classification-accuracy-in-large-data-sets-2105.12005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-subspace-learning-for-dimensionality-reduction-to-improve-classification-accuracy-in-large-data-sets-2105.12005"/></url>
<url><loc>https://scifaro.com/en/abs/hyperparameter-selection-for-imitation-learning-2105.12034</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperparameter-selection-for-imitation-learning-2105.12034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperparameter-selection-for-imitation-learning-2105.12034"/></url>
<url><loc>https://scifaro.com/en/abs/honest-but-curious-nets-sensitive-attributes-of-private-inputs-can-be-secretly-coded-into-the-classifiers-outputs-2105.12049</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/honest-but-curious-nets-sensitive-attributes-of-private-inputs-can-be-secretly-coded-into-the-classifiers-outputs-2105.12049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/honest-but-curious-nets-sensitive-attributes-of-private-inputs-can-be-secretly-coded-into-the-classifiers-outputs-2105.12049"/></url>
<url><loc>https://scifaro.com/en/abs/matching-targets-across-domains-with-radon-the-re-identification-across-domain-network-2105.12056</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matching-targets-across-domains-with-radon-the-re-identification-across-domain-network-2105.12056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matching-targets-across-domains-with-radon-the-re-identification-across-domain-network-2105.12056"/></url>
<url><loc>https://scifaro.com/en/abs/taxonomy-of-academic-plagiarism-methods-2105.12068</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taxonomy-of-academic-plagiarism-methods-2105.12068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taxonomy-of-academic-plagiarism-methods-2105.12068"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-manifold-neighborhood-size-for-nonlinear-analysis-of-libs-amino-acid-spectra-2105.12089</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-manifold-neighborhood-size-for-nonlinear-analysis-of-libs-amino-acid-spectra-2105.12089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-manifold-neighborhood-size-for-nonlinear-analysis-of-libs-amino-acid-spectra-2105.12089"/></url>
<url><loc>https://scifaro.com/en/abs/intrusion-detection-system-in-smart-home-network-using-bidirectional-lstm-and-convolutional-neural-networks-hybrid-model-2105.12096</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrusion-detection-system-in-smart-home-network-using-bidirectional-lstm-and-convolutional-neural-networks-hybrid-model-2105.12096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrusion-detection-system-in-smart-home-network-using-bidirectional-lstm-and-convolutional-neural-networks-hybrid-model-2105.12096"/></url>
<url><loc>https://scifaro.com/en/abs/calibration-and-uncertainty-quantification-of-bayesian-convolutional-neural-networks-for-geophysical-applications-2105.12115</loc><lastmod>2021-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibration-and-uncertainty-quantification-of-bayesian-convolutional-neural-networks-for-geophysical-applications-2105.12115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibration-and-uncertainty-quantification-of-bayesian-convolutional-neural-networks-for-geophysical-applications-2105.12115"/></url>
<url><loc>https://scifaro.com/en/abs/density-estimation-on-low-dimensional-manifolds-an-inflation-deflation-approach-2105.12152</loc><lastmod>2022-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-estimation-on-low-dimensional-manifolds-an-inflation-deflation-approach-2105.12152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-estimation-on-low-dimensional-manifolds-an-inflation-deflation-approach-2105.12152"/></url>
<url><loc>https://scifaro.com/en/abs/robust-value-iteration-for-continuous-control-tasks-2105.12189</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-value-iteration-for-continuous-control-tasks-2105.12189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-value-iteration-for-continuous-control-tasks-2105.12189"/></url>
<url><loc>https://scifaro.com/en/abs/bias-in-machine-learning-software-why-how-what-to-do-2105.12195</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-in-machine-learning-software-why-how-what-to-do-2105.12195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-in-machine-learning-software-why-how-what-to-do-2105.12195"/></url>
<url><loc>https://scifaro.com/en/abs/the-nonlinearity-coefficient-a-practical-guide-to-neural-architecture-design-2105.12210</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-nonlinearity-coefficient-a-practical-guide-to-neural-architecture-design-2105.12210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-nonlinearity-coefficient-a-practical-guide-to-neural-architecture-design-2105.12210"/></url>
<url><loc>https://scifaro.com/en/abs/geometry-of-the-loss-landscape-in-overparameterized-neural-networks-symmetries-and-invariances-2105.12221</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometry-of-the-loss-landscape-in-overparameterized-neural-networks-symmetries-and-invariances-2105.12221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometry-of-the-loss-landscape-in-overparameterized-neural-networks-symmetries-and-invariances-2105.12221"/></url>
<url><loc>https://scifaro.com/en/abs/practical-convex-formulation-of-robust-one-hidden-layer-neural-network-training-2105.12237</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-convex-formulation-of-robust-one-hidden-layer-neural-network-training-2105.12237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-convex-formulation-of-robust-one-hidden-layer-neural-network-training-2105.12237"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-properties-of-deep-residual-networks-2105.12245</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-properties-of-deep-residual-networks-2105.12245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-properties-of-deep-residual-networks-2105.12245"/></url>
<url><loc>https://scifaro.com/en/abs/graphvicreghsic-towards-improved-self-supervised-representation-learning-for-graphs-with-a-hyrbid-loss-function-2105.12247</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphvicreghsic-towards-improved-self-supervised-representation-learning-for-graphs-with-a-hyrbid-loss-function-2105.12247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphvicreghsic-towards-improved-self-supervised-representation-learning-for-graphs-with-a-hyrbid-loss-function-2105.12247"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-reinforcement-learning-in-lte-and-wi-fi-coexistence-2105.12249</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-reinforcement-learning-in-lte-and-wi-fi-coexistence-2105.12249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-reinforcement-learning-in-lte-and-wi-fi-coexistence-2105.12249"/></url>
<url><loc>https://scifaro.com/en/abs/provable-representation-learning-for-imitation-with-contrastive-fourier-features-2105.12272</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-representation-learning-for-imitation-with-contrastive-fourier-features-2105.12272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-representation-learning-for-imitation-with-contrastive-fourier-features-2105.12272"/></url>
<url><loc>https://scifaro.com/en/abs/operator-autoencoders-learning-physical-operations-on-encoded-molecular-graphs-2105.12295</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/operator-autoencoders-learning-physical-operations-on-encoded-molecular-graphs-2105.12295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/operator-autoencoders-learning-physical-operations-on-encoded-molecular-graphs-2105.12295"/></url>
<url><loc>https://scifaro.com/en/abs/the-graph-cut-kernel-for-ranked-data-2105.12356</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-graph-cut-kernel-for-ranked-data-2105.12356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-graph-cut-kernel-for-ranked-data-2105.12356"/></url>
<url><loc>https://scifaro.com/en/abs/using-the-overlapping-score-to-improve-corruption-benchmarks-2105.12357</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-the-overlapping-score-to-improve-corruption-benchmarks-2105.12357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-the-overlapping-score-to-improve-corruption-benchmarks-2105.12357"/></url>
<url><loc>https://scifaro.com/en/abs/basic-and-depression-specific-emotion-identification-in-tweets-multi-label-classification-experiments-2105.12364</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/basic-and-depression-specific-emotion-identification-in-tweets-multi-label-classification-experiments-2105.12364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/basic-and-depression-specific-emotion-identification-in-tweets-multi-label-classification-experiments-2105.12364"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-for-real-world-autonomous-systems-algorithms-challenges-and-frameworks-2105.12374</loc><lastmod>2022-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-for-real-world-autonomous-systems-algorithms-challenges-and-frameworks-2105.12374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-for-real-world-autonomous-systems-algorithms-challenges-and-frameworks-2105.12374"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attack-framework-on-graph-embedding-models-with-limited-knowledge-2105.12419</loc><lastmod>2022-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attack-framework-on-graph-embedding-models-with-limited-knowledge-2105.12419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attack-framework-on-graph-embedding-models-with-limited-knowledge-2105.12419"/></url>
<url><loc>https://scifaro.com/en/abs/deep-repulsive-prototypes-for-adversarial-robustness-2105.12427</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-repulsive-prototypes-for-adversarial-robustness-2105.12427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-repulsive-prototypes-for-adversarial-robustness-2105.12427"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-uncertainty-of-neural-network-forecasts-for-influenza-prevalence-using-web-search-activity-2105.12433</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-uncertainty-of-neural-network-forecasts-for-influenza-prevalence-using-web-search-activity-2105.12433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-uncertainty-of-neural-network-forecasts-for-influenza-prevalence-using-web-search-activity-2105.12433"/></url>
<url><loc>https://scifaro.com/en/abs/towards-an-imu-based-pen-online-handwriting-recognizer-2105.12434</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-an-imu-based-pen-online-handwriting-recognizer-2105.12434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-an-imu-based-pen-online-handwriting-recognizer-2105.12434"/></url>
<url><loc>https://scifaro.com/en/abs/deepgaze-iie-calibrated-prediction-in-and-out-of-domain-for-state-of-the-art-saliency-modeling-2105.12441</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepgaze-iie-calibrated-prediction-in-and-out-of-domain-for-state-of-the-art-saliency-modeling-2105.12441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepgaze-iie-calibrated-prediction-in-and-out-of-domain-for-state-of-the-art-saliency-modeling-2105.12441"/></url>
<url><loc>https://scifaro.com/en/abs/treebert-a-tree-based-pre-trained-model-for-programming-language-2105.12485</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/treebert-a-tree-based-pre-trained-model-for-programming-language-2105.12485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/treebert-a-tree-based-pre-trained-model-for-programming-language-2105.12485"/></url>
<url><loc>https://scifaro.com/en/abs/geomca-geometric-evaluation-of-data-representations-2105.12486</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geomca-geometric-evaluation-of-data-representations-2105.12486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geomca-geometric-evaluation-of-data-representations-2105.12486"/></url>
<url><loc>https://scifaro.com/en/abs/designing-ecg-monitoring-healthcare-system-with-federated-transfer-learning-and-explainable-ai-2105.12497</loc><lastmod>2022-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-ecg-monitoring-healthcare-system-with-federated-transfer-learning-and-explainable-ai-2105.12497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-ecg-monitoring-healthcare-system-with-federated-transfer-learning-and-explainable-ai-2105.12497"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-against-multiple-and-single-l-p-threat-models-via-quick-fine-tuning-of-robust-classifiers-2105.12508</loc><lastmod>2022-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-against-multiple-and-single-l-p-threat-models-via-quick-fine-tuning-of-robust-classifiers-2105.12508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-against-multiple-and-single-l-p-threat-models-via-quick-fine-tuning-of-robust-classifiers-2105.12508"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-vocabulary-entities-in-link-prediction-2105.12524</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-vocabulary-entities-in-link-prediction-2105.12524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-vocabulary-entities-in-link-prediction-2105.12524"/></url>
<url><loc>https://scifaro.com/en/abs/finite-sample-analysis-of-off-policy-natural-actor-critic-with-linear-function-approximation-2105.12540</loc><lastmod>2022-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-sample-analysis-of-off-policy-natural-actor-critic-with-linear-function-approximation-2105.12540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-sample-analysis-of-off-policy-natural-actor-critic-with-linear-function-approximation-2105.12540"/></url>
<url><loc>https://scifaro.com/en/abs/successive-convex-approximation-based-off-policy-optimization-for-constrained-reinforcement-learning-2105.12545</loc><lastmod>2022-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/successive-convex-approximation-based-off-policy-optimization-for-constrained-reinforcement-learning-2105.12545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/successive-convex-approximation-based-off-policy-optimization-for-constrained-reinforcement-learning-2105.12545"/></url>
<url><loc>https://scifaro.com/en/abs/predict-then-interpolate-a-simple-algorithm-to-learn-stable-classifiers-2105.12628</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predict-then-interpolate-a-simple-algorithm-to-learn-stable-classifiers-2105.12628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predict-then-interpolate-a-simple-algorithm-to-learn-stable-classifiers-2105.12628"/></url>
<url><loc>https://scifaro.com/en/abs/blurs-behave-like-ensembles-spatial-smoothings-to-improve-accuracy-uncertainty-and-robustness-2105.12639</loc><lastmod>2022-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blurs-behave-like-ensembles-spatial-smoothings-to-improve-accuracy-uncertainty-and-robustness-2105.12639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blurs-behave-like-ensembles-spatial-smoothings-to-improve-accuracy-uncertainty-and-robustness-2105.12639"/></url>
<url><loc>https://scifaro.com/en/abs/low-precision-hardware-architectures-meet-recommendation-model-inference-at-scale-2105.12676</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-precision-hardware-architectures-meet-recommendation-model-inference-at-scale-2105.12676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-precision-hardware-architectures-meet-recommendation-model-inference-at-scale-2105.12676"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-probabilistic-pruning-a-general-framework-for-hardware-constrained-pruning-at-different-granularities-2105.12686</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-probabilistic-pruning-a-general-framework-for-hardware-constrained-pruning-at-different-granularities-2105.12686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-probabilistic-pruning-a-general-framework-for-hardware-constrained-pruning-at-different-granularities-2105.12686"/></url>
<url><loc>https://scifaro.com/en/abs/structural-causal-models-reveal-confounder-bias-in-linear-program-modelling-2105.12697</loc><lastmod>2023-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-causal-models-reveal-confounder-bias-in-linear-program-modelling-2105.12697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-causal-models-reveal-confounder-bias-in-linear-program-modelling-2105.12697"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-dual-information-in-distance-metric-learning-for-clustering-2105.12703</loc><lastmod>2021-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-dual-information-in-distance-metric-learning-for-clustering-2105.12703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-dual-information-in-distance-metric-learning-for-clustering-2105.12703"/></url>
<url><loc>https://scifaro.com/en/abs/clustered-federated-learning-via-generalized-total-variation-minimization-2105.12769</loc><lastmod>2023-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustered-federated-learning-via-generalized-total-variation-minimization-2105.12769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustered-federated-learning-via-generalized-total-variation-minimization-2105.12769"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-bug-detection-and-repair-2105.12787</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-bug-detection-and-repair-2105.12787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-bug-detection-and-repair-2105.12787"/></url>
<url><loc>https://scifaro.com/en/abs/a-universal-law-of-robustness-via-isoperimetry-2105.12806</loc><lastmod>2022-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-universal-law-of-robustness-via-isoperimetry-2105.12806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-universal-law-of-robustness-via-isoperimetry-2105.12806"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-in-predictive-maintenance-a-new-evaluation-framework-for-temporal-unsupervised-anomaly-detection-algorithms-2105.12818</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-in-predictive-maintenance-a-new-evaluation-framework-for-temporal-unsupervised-anomaly-detection-algorithms-2105.12818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-in-predictive-maintenance-a-new-evaluation-framework-for-temporal-unsupervised-anomaly-detection-algorithms-2105.12818"/></url>
<url><loc>https://scifaro.com/en/abs/pouring-dynamics-estimation-using-gated-recurrent-units-2105.12828</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pouring-dynamics-estimation-using-gated-recurrent-units-2105.12828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pouring-dynamics-estimation-using-gated-recurrent-units-2105.12828"/></url>
<url><loc>https://scifaro.com/en/abs/fooling-partial-dependence-via-data-poisoning-2105.12837</loc><lastmod>2023-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fooling-partial-dependence-via-data-poisoning-2105.12837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fooling-partial-dependence-via-data-poisoning-2105.12837"/></url>
<url><loc>https://scifaro.com/en/abs/dnnv-a-framework-for-deep-neural-network-verification-2105.12841</loc><lastmod>2023-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dnnv-a-framework-for-deep-neural-network-verification-2105.12841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dnnv-a-framework-for-deep-neural-network-verification-2105.12841"/></url>
<url><loc>https://scifaro.com/en/abs/a-full-stack-search-technique-for-domain-optimized-deep-learning-accelerators-2105.12842</loc><lastmod>2022-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-full-stack-search-technique-for-domain-optimized-deep-learning-accelerators-2105.12842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-full-stack-search-technique-for-domain-optimized-deep-learning-accelerators-2105.12842"/></url>
<url><loc>https://scifaro.com/en/abs/carls-cross-platform-asynchronous-representation-learning-system-2105.12849</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/carls-cross-platform-asynchronous-representation-learning-system-2105.12849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/carls-cross-platform-asynchronous-representation-learning-system-2105.12849"/></url>
<url><loc>https://scifaro.com/en/abs/neural-enhanced-belief-propagation-for-cooperative-localization-2105.12903</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-enhanced-belief-propagation-for-cooperative-localization-2105.12903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-enhanced-belief-propagation-for-cooperative-localization-2105.12903"/></url>
<url><loc>https://scifaro.com/en/abs/deconditional-downscaling-with-gaussian-processes-2105.12909</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deconditional-downscaling-with-gaussian-processes-2105.12909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deconditional-downscaling-with-gaussian-processes-2105.12909"/></url>
<url><loc>https://scifaro.com/en/abs/robust-learning-from-corrupted-eeg-with-dynamic-spatial-filtering-2105.12916</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-learning-from-corrupted-eeg-with-dynamic-spatial-filtering-2105.12916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-learning-from-corrupted-eeg-with-dynamic-spatial-filtering-2105.12916"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-fund-raising-performance-for-start-up-projects-from-a-market-graph-perspective-2105.12918</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-fund-raising-performance-for-start-up-projects-from-a-market-graph-perspective-2105.12918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-fund-raising-performance-for-start-up-projects-from-a-market-graph-perspective-2105.12918"/></url>
<url><loc>https://scifaro.com/en/abs/search-spaces-for-neural-model-training-2105.12920</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/search-spaces-for-neural-model-training-2105.12920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/search-spaces-for-neural-model-training-2105.12920"/></url>
<url><loc>https://scifaro.com/en/abs/optimistic-reinforcement-learning-by-forward-kullback-leibler-divergence-optimization-2105.12991</loc><lastmod>2022-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimistic-reinforcement-learning-by-forward-kullback-leibler-divergence-optimization-2105.12991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimistic-reinforcement-learning-by-forward-kullback-leibler-divergence-optimization-2105.12991"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-instance-dependent-bayes-label-transition-matrix-using-a-deep-neural-network-2105.13001</loc><lastmod>2022-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-instance-dependent-bayes-label-transition-matrix-using-a-deep-neural-network-2105.13001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-instance-dependent-bayes-label-transition-matrix-using-a-deep-neural-network-2105.13001"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-infonce-how-many-negative-samples-do-you-need-2105.13003</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-infonce-how-many-negative-samples-do-you-need-2105.13003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-infonce-how-many-negative-samples-do-you-need-2105.13003"/></url>
<url><loc>https://scifaro.com/en/abs/an-error-analysis-of-generative-adversarial-networks-for-learning-distributions-2105.13010</loc><lastmod>2022-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-error-analysis-of-generative-adversarial-networks-for-learning-distributions-2105.13010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-error-analysis-of-generative-adversarial-networks-for-learning-distributions-2105.13010"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-optimal-fixed-budget-best-arm-identification-in-linear-bandits-2105.13017</loc><lastmod>2022-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-optimal-fixed-budget-best-arm-identification-in-linear-bandits-2105.13017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-optimal-fixed-budget-best-arm-identification-in-linear-bandits-2105.13017"/></url>
<url><loc>https://scifaro.com/en/abs/learning-union-of-integer-hypercubes-with-queries-technical-report-2105.13071</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-union-of-integer-hypercubes-with-queries-technical-report-2105.13071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-union-of-integer-hypercubes-with-queries-technical-report-2105.13071"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-knowledge-distillation-2105.13093</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-knowledge-distillation-2105.13093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-knowledge-distillation-2105.13093"/></url>
<url><loc>https://scifaro.com/en/abs/rl-grit-reinforcement-learning-for-grammar-inference-2105.13114</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rl-grit-reinforcement-learning-for-grammar-inference-2105.13114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rl-grit-reinforcement-learning-for-grammar-inference-2105.13114"/></url>
<url><loc>https://scifaro.com/en/abs/sequence-parallelism-long-sequence-training-from-system-perspective-2105.13120</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequence-parallelism-long-sequence-training-from-system-perspective-2105.13120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequence-parallelism-long-sequence-training-from-system-perspective-2105.13120"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-data-fusion-considering-spatial-correlations-using-graph-convolutional-networks-and-its-application-in-air-quality-prediction-2105.13125</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-data-fusion-considering-spatial-correlations-using-graph-convolutional-networks-and-its-application-in-air-quality-prediction-2105.13125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-data-fusion-considering-spatial-correlations-using-graph-convolutional-networks-and-its-application-in-air-quality-prediction-2105.13125"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-at-the-edge-real-time-training-on-smartphone-devices-2105.13127</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-at-the-edge-real-time-training-on-smartphone-devices-2105.13127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-at-the-edge-real-time-training-on-smartphone-devices-2105.13127"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-multi-modal-contextual-sensing-for-city-bus-s-stay-location-characterization-towards-sub-60-seconds-accurate-arrival-time-prediction-2105.13131</loc><lastmod>2022-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-multi-modal-contextual-sensing-for-city-bus-s-stay-location-characterization-towards-sub-60-seconds-accurate-arrival-time-prediction-2105.13131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-multi-modal-contextual-sensing-for-city-bus-s-stay-location-characterization-towards-sub-60-seconds-accurate-arrival-time-prediction-2105.13131"/></url>
<url><loc>https://scifaro.com/en/abs/enhance-multimodal-model-performance-with-data-augmentation-facebook-hateful-meme-challenge-solution-2105.13132</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhance-multimodal-model-performance-with-data-augmentation-facebook-hateful-meme-challenge-solution-2105.13132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhance-multimodal-model-performance-with-data-augmentation-facebook-hateful-meme-challenge-solution-2105.13132"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-data-driven-solution-and-parameter-estimation-of-pdes-using-conditional-generative-adversarial-networks-2105.13136</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-data-driven-solution-and-parameter-estimation-of-pdes-using-conditional-generative-adversarial-networks-2105.13136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-data-driven-solution-and-parameter-estimation-of-pdes-using-conditional-generative-adversarial-networks-2105.13136"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-deep-learning-for-medical-diagnosis-and-analysis-past-present-and-future-2105.13137</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-deep-learning-for-medical-diagnosis-and-analysis-past-present-and-future-2105.13137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-deep-learning-for-medical-diagnosis-and-analysis-past-present-and-future-2105.13137"/></url>
<url><loc>https://scifaro.com/en/abs/causally-constrained-data-synthesis-for-private-data-release-2105.13144</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causally-constrained-data-synthesis-for-private-data-release-2105.13144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causally-constrained-data-synthesis-for-private-data-release-2105.13144"/></url>
<url><loc>https://scifaro.com/en/abs/conic-blackwell-algorithm-parameter-free-convex-concave-saddle-point-solving-2105.13203</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conic-blackwell-algorithm-parameter-free-convex-concave-saddle-point-solving-2105.13203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conic-blackwell-algorithm-parameter-free-convex-concave-saddle-point-solving-2105.13203"/></url>
<url><loc>https://scifaro.com/en/abs/hamiltonian-deep-neural-networks-guaranteeing-non-vanishing-gradients-by-design-2105.13205</loc><lastmod>2023-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamiltonian-deep-neural-networks-guaranteeing-non-vanishing-gradients-by-design-2105.13205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamiltonian-deep-neural-networks-guaranteeing-non-vanishing-gradients-by-design-2105.13205"/></url>
<url><loc>https://scifaro.com/en/abs/pattern-transfer-learning-for-reinforcement-learning-in-order-dispatching-2105.13218</loc><lastmod>2022-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pattern-transfer-learning-for-reinforcement-learning-in-order-dispatching-2105.13218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pattern-transfer-learning-for-reinforcement-learning-in-order-dispatching-2105.13218"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-induced-equilibrium-networks-2105.13228</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-induced-equilibrium-networks-2105.13228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-induced-equilibrium-networks-2105.13228"/></url>
<url><loc>https://scifaro.com/en/abs/androidenv-a-reinforcement-learning-platform-for-android-2105.13231</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/androidenv-a-reinforcement-learning-platform-for-android-2105.13231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/androidenv-a-reinforcement-learning-platform-for-android-2105.13231"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimisation-for-constrained-problems-2105.13245</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimisation-for-constrained-problems-2105.13245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimisation-for-constrained-problems-2105.13245"/></url>
<url><loc>https://scifaro.com/en/abs/an-impossibility-theorem-for-node-embedding-2105.13251</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-impossibility-theorem-for-node-embedding-2105.13251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-impossibility-theorem-for-node-embedding-2105.13251"/></url>
<url><loc>https://scifaro.com/en/abs/naas-neural-accelerator-architecture-search-2105.13258</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/naas-neural-accelerator-architecture-search-2105.13258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/naas-neural-accelerator-architecture-search-2105.13258"/></url>
<url><loc>https://scifaro.com/en/abs/opreg-boost-learning-to-accelerate-online-algorithms-with-operator-regression-2105.13271</loc><lastmod>2022-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opreg-boost-learning-to-accelerate-online-algorithms-with-operator-regression-2105.13271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opreg-boost-learning-to-accelerate-online-algorithms-with-operator-regression-2105.13271"/></url>
<url><loc>https://scifaro.com/en/abs/one-step-preference-elicitation-in-multi-objective-bayesian-optimization-2105.13278</loc><lastmod>2021-05-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-step-preference-elicitation-in-multi-objective-bayesian-optimization-2105.13278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-step-preference-elicitation-in-multi-objective-bayesian-optimization-2105.13278"/></url>
<url><loc>https://scifaro.com/en/abs/deep-ensembles-from-a-bayesian-perspective-2105.13283</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-ensembles-from-a-bayesian-perspective-2105.13283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-ensembles-from-a-bayesian-perspective-2105.13283"/></url>
<url><loc>https://scifaro.com/en/abs/concept-drift-detection-and-adaptation-for-federated-and-continual-learning-2105.13309</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-drift-detection-and-adaptation-for-federated-and-continual-learning-2105.13309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-drift-detection-and-adaptation-for-federated-and-continual-learning-2105.13309"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-for-short-term-residential-load-forecasting-2105.13325</loc><lastmod>2022-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-for-short-term-residential-load-forecasting-2105.13325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-for-short-term-residential-load-forecasting-2105.13325"/></url>
<url><loc>https://scifaro.com/en/abs/encoders-and-ensembles-for-task-free-continual-learning-2105.13327</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encoders-and-ensembles-for-task-free-continual-learning-2105.13327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encoders-and-ensembles-for-task-free-continual-learning-2105.13327"/></url>
<url><loc>https://scifaro.com/en/abs/quantization-and-deployment-of-deep-neural-networks-on-microcontrollers-2105.13331</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantization-and-deployment-of-deep-neural-networks-on-microcontrollers-2105.13331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantization-and-deployment-of-deep-neural-networks-on-microcontrollers-2105.13331"/></url>
<url><loc>https://scifaro.com/en/abs/drawing-multiple-augmentation-samples-per-image-during-training-efficiently-decreases-test-error-2105.13343</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drawing-multiple-augmentation-samples-per-image-during-training-efficiently-decreases-test-error-2105.13343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drawing-multiple-augmentation-samples-per-image-during-training-efficiently-decreases-test-error-2105.13343"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-intrinsic-motivation-for-reinforcement-learning-2105.13345</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-intrinsic-motivation-for-reinforcement-learning-2105.13345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-intrinsic-motivation-for-reinforcement-learning-2105.13345"/></url>
<url><loc>https://scifaro.com/en/abs/classification-and-uncertainty-quantification-of-corrupted-data-using-semi-supervised-autoencoders-2105.13393</loc><lastmod>2023-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-and-uncertainty-quantification-of-corrupted-data-using-semi-supervised-autoencoders-2105.13393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-and-uncertainty-quantification-of-corrupted-data-using-semi-supervised-autoencoders-2105.13393"/></url>
<url><loc>https://scifaro.com/en/abs/times-series-forecasting-for-urban-building-energy-consumption-based-on-graph-convolutional-network-2105.13399</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/times-series-forecasting-for-urban-building-energy-consumption-based-on-graph-convolutional-network-2105.13399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/times-series-forecasting-for-urban-building-energy-consumption-based-on-graph-convolutional-network-2105.13399"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-multi-class-classification-of-the-camh-covid-19-mental-health-data-2105.13430</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-multi-class-classification-of-the-camh-covid-19-mental-health-data-2105.13430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-multi-class-classification-of-the-camh-covid-19-mental-health-data-2105.13430"/></url>
<url><loc>https://scifaro.com/en/abs/an-offline-risk-aware-policy-selection-method-for-bayesian-markov-decision-processes-2105.13431</loc><lastmod>2026-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-offline-risk-aware-policy-selection-method-for-bayesian-markov-decision-processes-2105.13431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-offline-risk-aware-policy-selection-method-for-bayesian-markov-decision-processes-2105.13431"/></url>
<url><loc>https://scifaro.com/en/abs/open-world-machine-learning-applications-challenges-and-opportunities-2105.13448</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-world-machine-learning-applications-challenges-and-opportunities-2105.13448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-world-machine-learning-applications-challenges-and-opportunities-2105.13448"/></url>
<url><loc>https://scifaro.com/en/abs/on-linear-stability-of-sgd-and-input-smoothness-of-neural-networks-2105.13462</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-linear-stability-of-sgd-and-input-smoothness-of-neural-networks-2105.13462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-linear-stability-of-sgd-and-input-smoothness-of-neural-networks-2105.13462"/></url>
<url><loc>https://scifaro.com/en/abs/training-with-data-dependent-dynamic-learning-rates-2105.13464</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-with-data-dependent-dynamic-learning-rates-2105.13464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-with-data-dependent-dynamic-learning-rates-2105.13464"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-and-accurate-gradients-for-neural-sdes-2105.13493</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-and-accurate-gradients-for-neural-sdes-2105.13493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-and-accurate-gradients-for-neural-sdes-2105.13493"/></url>
<url><loc>https://scifaro.com/en/abs/improving-generalization-in-meta-rl-with-imaginary-tasks-from-latent-dynamics-mixture-2105.13524</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-generalization-in-meta-rl-with-imaginary-tasks-from-latent-dynamics-mixture-2105.13524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-generalization-in-meta-rl-with-imaginary-tasks-from-latent-dynamics-mixture-2105.13524"/></url>
<url><loc>https://scifaro.com/en/abs/a-bic-based-mixture-model-defense-against-data-poisoning-attacks-on-classifiers-2105.13530</loc><lastmod>2022-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bic-based-mixture-model-defense-against-data-poisoning-attacks-on-classifiers-2105.13530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bic-based-mixture-model-defense-against-data-poisoning-attacks-on-classifiers-2105.13530"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-and-computer-vision-approach-to-rapidly-optimize-multiscale-droplet-generation-2105.13553</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-and-computer-vision-approach-to-rapidly-optimize-multiscale-droplet-generation-2105.13553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-and-computer-vision-approach-to-rapidly-optimize-multiscale-droplet-generation-2105.13553"/></url>
<url><loc>https://scifaro.com/en/abs/blending-advertising-with-organic-content-in-e-commerce-a-virtual-bids-optimization-approach-2105.13556</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blending-advertising-with-organic-content-in-e-commerce-a-virtual-bids-optimization-approach-2105.13556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blending-advertising-with-organic-content-in-e-commerce-a-virtual-bids-optimization-approach-2105.13556"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-detransformation-autoencoder-for-representation-learning-in-open-set-recognition-2105.13557</loc><lastmod>2022-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-detransformation-autoencoder-for-representation-learning-in-open-set-recognition-2105.13557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-detransformation-autoencoder-for-representation-learning-in-open-set-recognition-2105.13557"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-learning-with-absolute-generalization-2105.13559</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-learning-with-absolute-generalization-2105.13559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-learning-with-absolute-generalization-2105.13559"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-code-mixed-modern-standard-arabic-egyptian-to-english-machine-translation-2105.13573</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-code-mixed-modern-standard-arabic-egyptian-to-english-machine-translation-2105.13573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-code-mixed-modern-standard-arabic-egyptian-to-english-machine-translation-2105.13573"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-stock-price-trend-prediction-using-meta-learning-2105.13599</loc><lastmod>2022-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-stock-price-trend-prediction-using-meta-learning-2105.13599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-stock-price-trend-prediction-using-meta-learning-2105.13599"/></url>
<url><loc>https://scifaro.com/en/abs/a-nearly-blackwell-optimal-policy-gradient-method-2105.13609</loc><lastmod>2022-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nearly-blackwell-optimal-policy-gradient-method-2105.13609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nearly-blackwell-optimal-policy-gradient-method-2105.13609"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-model-placement-and-online-model-splitting-for-device-edge-co-inference-2105.13618</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-model-placement-and-online-model-splitting-for-device-edge-co-inference-2105.13618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-model-placement-and-online-model-splitting-for-device-edge-co-inference-2105.13618"/></url>
<url><loc>https://scifaro.com/en/abs/crt-net-a-generalized-and-scalable-framework-for-the-computer-aided-diagnosis-of-electrocardiogram-signals-2105.13619</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crt-net-a-generalized-and-scalable-framework-for-the-computer-aided-diagnosis-of-electrocardiogram-signals-2105.13619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crt-net-a-generalized-and-scalable-framework-for-the-computer-aided-diagnosis-of-electrocardiogram-signals-2105.13619"/></url>
<url><loc>https://scifaro.com/en/abs/enhanced-doubly-robust-learning-for-debiasing-post-click-conversion-rate-estimation-2105.13623</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhanced-doubly-robust-learning-for-debiasing-post-click-conversion-rate-estimation-2105.13623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhanced-doubly-robust-learning-for-debiasing-post-click-conversion-rate-estimation-2105.13623"/></url>
<url><loc>https://scifaro.com/en/abs/the-power-of-log-sum-exp-sequential-density-ratio-matrix-estimation-for-speed-accuracy-optimization-2105.13636</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-power-of-log-sum-exp-sequential-density-ratio-matrix-estimation-for-speed-accuracy-optimization-2105.13636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-power-of-log-sum-exp-sequential-density-ratio-matrix-estimation-for-speed-accuracy-optimization-2105.13636"/></url>
<url><loc>https://scifaro.com/en/abs/the-power-of-sampling-dimension-free-risk-bounds-in-private-erm-2105.13637</loc><lastmod>2024-06-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-power-of-sampling-dimension-free-risk-bounds-in-private-erm-2105.13637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-power-of-sampling-dimension-free-risk-bounds-in-private-erm-2105.13637"/></url>
<url><loc>https://scifaro.com/en/abs/pruning-and-slicing-neural-networks-using-formal-verification-2105.13649</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pruning-and-slicing-neural-networks-using-formal-verification-2105.13649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pruning-and-slicing-neural-networks-using-formal-verification-2105.13649"/></url>
<url><loc>https://scifaro.com/en/abs/scheduling-jobs-with-stochastic-holding-costs-2105.13655</loc><lastmod>2022-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scheduling-jobs-with-stochastic-holding-costs-2105.13655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scheduling-jobs-with-stochastic-holding-costs-2105.13655"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-global-properties-of-neural-generative-model-outputs-via-generating-mathematical-objects-2105.13669</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-global-properties-of-neural-generative-model-outputs-via-generating-mathematical-objects-2105.13669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-global-properties-of-neural-generative-model-outputs-via-generating-mathematical-objects-2105.13669"/></url>
<url><loc>https://scifaro.com/en/abs/transferable-deep-reinforcement-learning-framework-for-autonomous-vehicles-with-joint-radar-data-communications-2105.13670</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferable-deep-reinforcement-learning-framework-for-autonomous-vehicles-with-joint-radar-data-communications-2105.13670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferable-deep-reinforcement-learning-framework-for-autonomous-vehicles-with-joint-radar-data-communications-2105.13670"/></url>
<url><loc>https://scifaro.com/en/abs/robust-regularization-with-adversarial-labelling-of-perturbed-samples-2105.13745</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-regularization-with-adversarial-labelling-of-perturbed-samples-2105.13745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-regularization-with-adversarial-labelling-of-perturbed-samples-2105.13745"/></url>
<url><loc>https://scifaro.com/en/abs/the-feature-first-block-model-2105.13762</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-feature-first-block-model-2105.13762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-feature-first-block-model-2105.13762"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-transductive-property-of-graph-convolutional-neural-networks-with-less-labeling-effort-2105.13765</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-transductive-property-of-graph-convolutional-neural-networks-with-less-labeling-effort-2105.13765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-transductive-property-of-graph-convolutional-neural-networks-with-less-labeling-effort-2105.13765"/></url>
<url><loc>https://scifaro.com/en/abs/why-would-i-trust-your-numbers-on-the-explainability-of-expected-values-in-soccer-2105.13778</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-would-i-trust-your-numbers-on-the-explainability-of-expected-values-in-soccer-2105.13778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-would-i-trust-your-numbers-on-the-explainability-of-expected-values-in-soccer-2105.13778"/></url>
<url><loc>https://scifaro.com/en/abs/quantile-encoder-tackling-high-cardinality-categorical-features-in-regression-problems-2105.13783</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantile-encoder-tackling-high-cardinality-categorical-features-in-regression-problems-2105.13783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantile-encoder-tackling-high-cardinality-categorical-features-in-regression-problems-2105.13783"/></url>
<url><loc>https://scifaro.com/en/abs/do-not-explain-without-context-addressing-the-blind-spot-of-model-explanations-2105.13787</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-not-explain-without-context-addressing-the-blind-spot-of-model-explanations-2105.13787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-not-explain-without-context-addressing-the-blind-spot-of-model-explanations-2105.13787"/></url>
<url><loc>https://scifaro.com/en/abs/gcn-sl-graph-convolutional-networks-with-structure-learning-for-graphs-under-heterophily-2105.13795</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gcn-sl-graph-convolutional-networks-with-structure-learning-for-graphs-under-heterophily-2105.13795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gcn-sl-graph-convolutional-networks-with-structure-learning-for-graphs-under-heterophily-2105.13795"/></url>
<url><loc>https://scifaro.com/en/abs/gym-mu-rts-toward-affordable-full-game-real-time-strategy-games-research-with-deep-reinforcement-learning-2105.13807</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gym-mu-rts-toward-affordable-full-game-real-time-strategy-games-research-with-deep-reinforcement-learning-2105.13807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gym-mu-rts-toward-affordable-full-game-real-time-strategy-games-research-with-deep-reinforcement-learning-2105.13807"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-matching-for-machine-teaching-2105.13809</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-matching-for-machine-teaching-2105.13809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-matching-for-machine-teaching-2105.13809"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-anomaly-detection-for-technical-systems-using-lstm-networks-2105.13810</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-anomaly-detection-for-technical-systems-using-lstm-networks-2105.13810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-anomaly-detection-for-technical-systems-using-lstm-networks-2105.13810"/></url>
<url><loc>https://scifaro.com/en/abs/grey-box-models-for-wave-loading-prediction-2105.13813</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grey-box-models-for-wave-loading-prediction-2105.13813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grey-box-models-for-wave-loading-prediction-2105.13813"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-fairness-with-a-simple-ridge-penalty-2105.13817</loc><lastmod>2025-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-fairness-with-a-simple-ridge-penalty-2105.13817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-fairness-with-a-simple-ridge-penalty-2105.13817"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-taylor-framework-for-unifying-and-revisiting-attribution-methods-2105.13841</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-taylor-framework-for-unifying-and-revisiting-attribution-methods-2105.13841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-taylor-framework-for-unifying-and-revisiting-attribution-methods-2105.13841"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-enterprise-credit-rating-via-deep-feature-crossing-network-2105.13843</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-enterprise-credit-rating-via-deep-feature-crossing-network-2105.13843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-enterprise-credit-rating-via-deep-feature-crossing-network-2105.13843"/></url>
<url><loc>https://scifaro.com/en/abs/neonatal-seizure-detection-from-raw-multi-channel-eeg-using-a-fully-convolutional-architecture-2105.13854</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neonatal-seizure-detection-from-raw-multi-channel-eeg-using-a-fully-convolutional-architecture-2105.13854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neonatal-seizure-detection-from-raw-multi-channel-eeg-using-a-fully-convolutional-architecture-2105.13854"/></url>
<url><loc>https://scifaro.com/en/abs/generative-network-based-reduced-order-model-for-prediction-data-assimilation-and-uncertainty-quantification-2105.13859</loc><lastmod>2025-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-network-based-reduced-order-model-for-prediction-data-assimilation-and-uncertainty-quantification-2105.13859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-network-based-reduced-order-model-for-prediction-data-assimilation-and-uncertainty-quantification-2105.13859"/></url>
<url><loc>https://scifaro.com/en/abs/salientsleepnet-multimodal-salient-wave-detection-network-for-sleep-staging-2105.13864</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/salientsleepnet-multimodal-salient-wave-detection-network-for-sleep-staging-2105.13864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/salientsleepnet-multimodal-salient-wave-detection-network-for-sleep-staging-2105.13864"/></url>
<url><loc>https://scifaro.com/en/abs/equilibrium-and-non-equilibrium-regimes-in-the-learning-of-restricted-boltzmann-machines-2105.13889</loc><lastmod>2022-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equilibrium-and-non-equilibrium-regimes-in-the-learning-of-restricted-boltzmann-machines-2105.13889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equilibrium-and-non-equilibrium-regimes-in-the-learning-of-restricted-boltzmann-machines-2105.13889"/></url>
<url><loc>https://scifaro.com/en/abs/towards-efficient-full-8-bit-integer-dnn-online-training-on-resource-limited-devices-without-batch-normalization-2105.13890</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-efficient-full-8-bit-integer-dnn-online-training-on-resource-limited-devices-without-batch-normalization-2105.13890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-efficient-full-8-bit-integer-dnn-online-training-on-resource-limited-devices-without-batch-normalization-2105.13890"/></url>
<url><loc>https://scifaro.com/en/abs/training-classifiers-that-are-universally-robust-to-all-label-noise-levels-2105.13892</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-classifiers-that-are-universally-robust-to-all-label-noise-levels-2105.13892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-classifiers-that-are-universally-robust-to-all-label-noise-levels-2105.13892"/></url>
<url><loc>https://scifaro.com/en/abs/video-rate-multispectral-imaging-in-laparoscopic-surgery-first-in-human-application-2105.13901</loc><lastmod>2023-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/video-rate-multispectral-imaging-in-laparoscopic-surgery-first-in-human-application-2105.13901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/video-rate-multispectral-imaging-in-laparoscopic-surgery-first-in-human-application-2105.13901"/></url>
<url><loc>https://scifaro.com/en/abs/learning-structures-for-deep-neural-networks-2105.13905</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-structures-for-deep-neural-networks-2105.13905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-structures-for-deep-neural-networks-2105.13905"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-deep-learning-and-equivariant-neural-networks-2105.13926</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-deep-learning-and-equivariant-neural-networks-2105.13926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-deep-learning-and-equivariant-neural-networks-2105.13926"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-and-localizing-usable-information-leakage-from-neural-network-gradients-2105.13929</loc><lastmod>2022-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-and-localizing-usable-information-leakage-from-neural-network-gradients-2105.13929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-and-localizing-usable-information-leakage-from-neural-network-gradients-2105.13929"/></url>
<url><loc>https://scifaro.com/en/abs/polygonal-unadjusted-langevin-algorithms-creating-stable-and-efficient-adaptive-algorithms-for-neural-networks-2105.13937</loc><lastmod>2024-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polygonal-unadjusted-langevin-algorithms-creating-stable-and-efficient-adaptive-algorithms-for-neural-networks-2105.13937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polygonal-unadjusted-langevin-algorithms-creating-stable-and-efficient-adaptive-algorithms-for-neural-networks-2105.13937"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-online-bandit-strategies-for-minimax-learning-problems-2105.13939</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-online-bandit-strategies-for-minimax-learning-problems-2105.13939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-online-bandit-strategies-for-minimax-learning-problems-2105.13939"/></url>
<url><loc>https://scifaro.com/en/abs/towards-deterministic-diverse-subset-sampling-2105.13942</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-deterministic-diverse-subset-sampling-2105.13942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-deterministic-diverse-subset-sampling-2105.13942"/></url>
<url><loc>https://scifaro.com/en/abs/latent-space-exploration-using-generative-kernel-pca-2105.13949</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-space-exploration-using-generative-kernel-pca-2105.13949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-space-exploration-using-generative-kernel-pca-2105.13949"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-data-center-ai-systems-with-edge-computing-for-actionable-information-retrieval-2105.13967</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-data-center-ai-systems-with-edge-computing-for-actionable-information-retrieval-2105.13967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-data-center-ai-systems-with-edge-computing-for-actionable-information-retrieval-2105.13967"/></url>
<url><loc>https://scifaro.com/en/abs/relation-matters-in-sampling-a-scalable-multi-relational-graph-neural-network-for-drug-drug-interaction-prediction-2105.13975</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relation-matters-in-sampling-a-scalable-multi-relational-graph-neural-network-for-drug-drug-interaction-prediction-2105.13975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relation-matters-in-sampling-a-scalable-multi-relational-graph-neural-network-for-drug-drug-interaction-prediction-2105.13975"/></url>
<url><loc>https://scifaro.com/en/abs/perturbation-theory-for-the-information-bottleneck-2105.13977</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perturbation-theory-for-the-information-bottleneck-2105.13977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perturbation-theory-for-the-information-bottleneck-2105.13977"/></url>
<url><loc>https://scifaro.com/en/abs/confident-in-the-crowd-bayesian-inference-to-improve-data-labelling-in-crowdsourcing-2105.13984</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confident-in-the-crowd-bayesian-inference-to-improve-data-labelling-in-crowdsourcing-2105.13984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confident-in-the-crowd-bayesian-inference-to-improve-data-labelling-in-crowdsourcing-2105.13984"/></url>
<url><loc>https://scifaro.com/en/abs/improving-generalization-in-mountain-car-through-the-partitioned-parameterized-policy-approach-via-quasi-stochastic-gradient-descent-2105.13986</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-generalization-in-mountain-car-through-the-partitioned-parameterized-policy-approach-via-quasi-stochastic-gradient-descent-2105.13986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-generalization-in-mountain-car-through-the-partitioned-parameterized-policy-approach-via-quasi-stochastic-gradient-descent-2105.13986"/></url>
<url><loc>https://scifaro.com/en/abs/an-explainable-probabilistic-classifier-for-categorical-data-inspired-to-quantum-physics-2105.13988</loc><lastmod>2021-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-explainable-probabilistic-classifier-for-categorical-data-inspired-to-quantum-physics-2105.13988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-explainable-probabilistic-classifier-for-categorical-data-inspired-to-quantum-physics-2105.13988"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-for-linearly-parameterized-mdps-with-a-generative-model-2105.14016</loc><lastmod>2022-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-for-linearly-parameterized-mdps-with-a-generative-model-2105.14016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-for-linearly-parameterized-mdps-with-a-generative-model-2105.14016"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-multi-perturbation-experimental-design-for-causal-structure-learning-2105.14024</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-multi-perturbation-experimental-design-for-causal-structure-learning-2105.14024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-multi-perturbation-experimental-design-for-causal-structure-learning-2105.14024"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-extend-program-graphs-to-work-in-progress-code-2105.14038</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-extend-program-graphs-to-work-in-progress-code-2105.14038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-extend-program-graphs-to-work-in-progress-code-2105.14038"/></url>
<url><loc>https://scifaro.com/en/abs/towards-mental-time-travel-a-hierarchical-memory-for-reinforcement-learning-agents-2105.14039</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-mental-time-travel-a-hierarchical-memory-for-reinforcement-learning-agents-2105.14039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-mental-time-travel-a-hierarchical-memory-for-reinforcement-learning-agents-2105.14039"/></url>
<url><loc>https://scifaro.com/en/abs/fair-representations-by-compression-2105.14044</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-representations-by-compression-2105.14044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-representations-by-compression-2105.14044"/></url>
<url><loc>https://scifaro.com/en/abs/targeted-deep-learning-framework-methods-and-applications-2105.14052</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/targeted-deep-learning-framework-methods-and-applications-2105.14052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/targeted-deep-learning-framework-methods-and-applications-2105.14052"/></url>
<url><loc>https://scifaro.com/en/abs/symmetry-driven-graph-neural-networks-2105.14058</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetry-driven-graph-neural-networks-2105.14058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetry-driven-graph-neural-networks-2105.14058"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-neural-odes-using-model-order-reduction-2105.14070</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-neural-odes-using-model-order-reduction-2105.14070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-neural-odes-using-model-order-reduction-2105.14070"/></url>
<url><loc>https://scifaro.com/en/abs/task-guided-inverse-reinforcement-learning-under-partial-information-2105.14073</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-guided-inverse-reinforcement-learning-under-partial-information-2105.14073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-guided-inverse-reinforcement-learning-under-partial-information-2105.14073"/></url>
<url><loc>https://scifaro.com/en/abs/gotta-go-fast-when-generating-data-with-score-based-models-2105.14080</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gotta-go-fast-when-generating-data-with-score-based-models-2105.14080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gotta-go-fast-when-generating-data-with-score-based-models-2105.14080"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-noisy-label-models-labeler-dependent-noise-with-adversarial-awareness-2105.14083</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-noisy-label-models-labeler-dependent-noise-with-adversarial-awareness-2105.14083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-noisy-label-models-labeler-dependent-noise-with-adversarial-awareness-2105.14083"/></url>
<url><loc>https://scifaro.com/en/abs/support-vector-machines-and-linear-regression-coincide-with-very-high-dimensional-features-2105.14084</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/support-vector-machines-and-linear-regression-coincide-with-very-high-dimensional-features-2105.14084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/support-vector-machines-and-linear-regression-coincide-with-very-high-dimensional-features-2105.14084"/></url>
<url><loc>https://scifaro.com/en/abs/galerkin-neural-networks-a-framework-for-approximating-variational-equations-with-error-control-2105.14094</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/galerkin-neural-networks-a-framework-for-approximating-variational-equations-with-error-control-2105.14094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/galerkin-neural-networks-a-framework-for-approximating-variational-equations-with-error-control-2105.14094"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-training-for-cross-task-learning-2105.14095</loc><lastmod>2022-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-training-for-cross-task-learning-2105.14095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-training-for-cross-task-learning-2105.14095"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-on-line-sequence-transformation-2105.14097</loc><lastmod>2022-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-on-line-sequence-transformation-2105.14097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-on-line-sequence-transformation-2105.14097"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-the-gap-between-practice-and-pac-bayes-theory-in-few-shot-meta-learning-2105.14099</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-the-gap-between-practice-and-pac-bayes-theory-in-few-shot-meta-learning-2105.14099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-the-gap-between-practice-and-pac-bayes-theory-in-few-shot-meta-learning-2105.14099"/></url>
<url><loc>https://scifaro.com/en/abs/an-attention-free-transformer-2105.14103</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-attention-free-transformer-2105.14103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-attention-free-transformer-2105.14103"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-reveals-fundamental-limits-on-the-mixing-of-active-particles-2105.14105</loc><lastmod>2021-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-reveals-fundamental-limits-on-the-mixing-of-active-particles-2105.14105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-reveals-fundamental-limits-on-the-mixing-of-active-particles-2105.14105"/></url>
<url><loc>https://scifaro.com/en/abs/goal-misgeneralization-in-deep-reinforcement-learning-2105.14111</loc><lastmod>2023-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/goal-misgeneralization-in-deep-reinforcement-learning-2105.14111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/goal-misgeneralization-in-deep-reinforcement-learning-2105.14111"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotically-optimal-bandits-under-weighted-information-2105.14114</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotically-optimal-bandits-under-weighted-information-2105.14114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotically-optimal-bandits-under-weighted-information-2105.14114"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-representations-of-adversarially-perturbed-inputs-2105.14116</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-representations-of-adversarially-perturbed-inputs-2105.14116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-representations-of-adversarially-perturbed-inputs-2105.14116"/></url>
<url><loc>https://scifaro.com/en/abs/towards-optimally-abstaining-from-prediction-with-ood-test-examples-2105.14119</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-optimally-abstaining-from-prediction-with-ood-test-examples-2105.14119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-optimally-abstaining-from-prediction-with-ood-test-examples-2105.14119"/></url>
<url><loc>https://scifaro.com/en/abs/joint-optimization-of-multi-objective-reinforcement-learning-with-policy-gradient-based-algorithm-2105.14125</loc><lastmod>2025-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-optimization-of-multi-objective-reinforcement-learning-with-policy-gradient-based-algorithm-2105.14125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-optimization-of-multi-objective-reinforcement-learning-with-policy-gradient-based-algorithm-2105.14125"/></url>
<url><loc>https://scifaro.com/en/abs/risk-aware-transfer-in-reinforcement-learning-using-successor-features-2105.14127</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-aware-transfer-in-reinforcement-learning-using-successor-features-2105.14127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-aware-transfer-in-reinforcement-learning-using-successor-features-2105.14127"/></url>
<url><loc>https://scifaro.com/en/abs/arms-antithetic-reinforce-multi-sample-gradient-for-binary-variables-2105.14141</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arms-antithetic-reinforce-multi-sample-gradient-for-binary-variables-2105.14141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arms-antithetic-reinforce-multi-sample-gradient-for-binary-variables-2105.14141"/></url>
<url><loc>https://scifaro.com/en/abs/deep-fair-discriminative-clustering-2105.14146</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-fair-discriminative-clustering-2105.14146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-fair-discriminative-clustering-2105.14146"/></url>
<url><loc>https://scifaro.com/en/abs/edda-explanation-driven-data-augmentation-to-improve-explanation-faithfulness-2105.14162</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edda-explanation-driven-data-augmentation-to-improve-explanation-faithfulness-2105.14162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edda-explanation-driven-data-augmentation-to-improve-explanation-faithfulness-2105.14162"/></url>
<url><loc>https://scifaro.com/en/abs/rejection-sampling-from-shape-constrained-distributions-in-sublinear-time-2105.14166</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rejection-sampling-from-shape-constrained-distributions-in-sublinear-time-2105.14166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rejection-sampling-from-shape-constrained-distributions-in-sublinear-time-2105.14166"/></url>
<url><loc>https://scifaro.com/en/abs/the-definitions-of-interpretability-and-learning-of-interpretable-models-2105.14171</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-definitions-of-interpretability-and-learning-of-interpretable-models-2105.14171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-definitions-of-interpretability-and-learning-of-interpretable-models-2105.14171"/></url>
<url><loc>https://scifaro.com/en/abs/a-stochastic-alternating-balance-k-means-algorithm-for-fair-clustering-2105.14172</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stochastic-alternating-balance-k-means-algorithm-for-fair-clustering-2105.14172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stochastic-alternating-balance-k-means-algorithm-for-fair-clustering-2105.14172"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-instance-based-interpretability-of-variational-auto-encoders-2105.14203</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-instance-based-interpretability-of-variational-auto-encoders-2105.14203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-instance-based-interpretability-of-variational-auto-encoders-2105.14203"/></url>
<url><loc>https://scifaro.com/en/abs/cdma-a-practical-cross-device-federated-learning-algorithm-for-general-minimax-problems-2105.14216</loc><lastmod>2023-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cdma-a-practical-cross-device-federated-learning-algorithm-for-general-minimax-problems-2105.14216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cdma-a-practical-cross-device-federated-learning-algorithm-for-general-minimax-problems-2105.14216"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graphon-autoencoders-for-generative-graph-modeling-2105.14244</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graphon-autoencoders-for-generative-graph-modeling-2105.14244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graphon-autoencoders-for-generative-graph-modeling-2105.14244"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-based-representation-learning-2105.14257</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-based-representation-learning-2105.14257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-based-representation-learning-2105.14257"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-bandits-with-graph-feedback-2105.14260</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-bandits-with-graph-feedback-2105.14260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-bandits-with-graph-feedback-2105.14260"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-bayesian-posterior-approximation-with-deep-ensembles-2105.14275</loc><lastmod>2022-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-bayesian-posterior-approximation-with-deep-ensembles-2105.14275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-bayesian-posterior-approximation-with-deep-ensembles-2105.14275"/></url>
<url><loc>https://scifaro.com/en/abs/an-overview-of-deep-learning-techniques-for-epileptic-seizures-detection-and-prediction-based-on-neuroimaging-modalities-methods-challenges-and-future-works-2105.14278</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-overview-of-deep-learning-techniques-for-epileptic-seizures-detection-and-prediction-based-on-neuroimaging-modalities-methods-challenges-and-future-works-2105.14278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-overview-of-deep-learning-techniques-for-epileptic-seizures-detection-and-prediction-based-on-neuroimaging-modalities-methods-challenges-and-future-works-2105.14278"/></url>
<url><loc>https://scifaro.com/en/abs/hashing-accelerated-graph-neural-networks-for-link-prediction-2105.14280</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hashing-accelerated-graph-neural-networks-for-link-prediction-2105.14280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hashing-accelerated-graph-neural-networks-for-link-prediction-2105.14280"/></url>
<url><loc>https://scifaro.com/en/abs/gina-neural-relational-inference-from-independent-snapshots-2105.14329</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gina-neural-relational-inference-from-independent-snapshots-2105.14329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gina-neural-relational-inference-from-independent-snapshots-2105.14329"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-theory-of-reinforcement-learning-with-once-per-episode-feedback-2105.14363</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-theory-of-reinforcement-learning-with-once-per-episode-feedback-2105.14363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-theory-of-reinforcement-learning-with-once-per-episode-feedback-2105.14363"/></url>
<url><loc>https://scifaro.com/en/abs/deconvolutional-density-network-modeling-free-form-conditional-distributions-2105.14367</loc><lastmod>2021-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deconvolutional-density-network-modeling-free-form-conditional-distributions-2105.14367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deconvolutional-density-network-modeling-free-form-conditional-distributions-2105.14367"/></url>
<url><loc>https://scifaro.com/en/abs/syrenets-symbolic-residual-neural-networks-2105.14396</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/syrenets-symbolic-residual-neural-networks-2105.14396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/syrenets-symbolic-residual-neural-networks-2105.14396"/></url>
<url><loc>https://scifaro.com/en/abs/enhanced-isotropy-maximization-loss-seamless-and-high-performance-out-of-distribution-detection-simply-replacing-the-softmax-loss-2105.14399</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhanced-isotropy-maximization-loss-seamless-and-high-performance-out-of-distribution-detection-simply-replacing-the-softmax-loss-2105.14399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhanced-isotropy-maximization-loss-seamless-and-high-performance-out-of-distribution-detection-simply-replacing-the-softmax-loss-2105.14399"/></url>
<url><loc>https://scifaro.com/en/abs/re-evaluating-word-mover-s-distance-2105.14403</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/re-evaluating-word-mover-s-distance-2105.14403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/re-evaluating-word-mover-s-distance-2105.14403"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-lognnet-classifier-for-iot-application-2105.14412</loc><lastmod>2022-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-lognnet-classifier-for-iot-application-2105.14412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-lognnet-classifier-for-iot-application-2105.14412"/></url>
<url><loc>https://scifaro.com/en/abs/overparameterization-of-deep-resnet-zero-loss-and-mean-field-analysis-2105.14417</loc><lastmod>2025-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overparameterization-of-deep-resnet-zero-loss-and-mean-field-analysis-2105.14417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overparameterization-of-deep-resnet-zero-loss-and-mean-field-analysis-2105.14417"/></url>
<url><loc>https://scifaro.com/en/abs/periodic-gp-learning-periodic-world-with-gaussian-process-bandits-2105.14422</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/periodic-gp-learning-periodic-world-with-gaussian-process-bandits-2105.14422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/periodic-gp-learning-periodic-world-with-gaussian-process-bandits-2105.14422"/></url>
<url><loc>https://scifaro.com/en/abs/cscad-correlation-structure-based-collective-anomaly-detection-in-complex-system-2105.14476</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cscad-correlation-structure-based-collective-anomaly-detection-in-complex-system-2105.14476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cscad-correlation-structure-based-collective-anomaly-detection-in-complex-system-2105.14476"/></url>
<url><loc>https://scifaro.com/en/abs/relational-graph-neural-network-design-via-progressive-neural-architecture-search-2105.14490</loc><lastmod>2022-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-graph-neural-network-design-via-progressive-neural-architecture-search-2105.14490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-graph-neural-network-design-via-progressive-neural-architecture-search-2105.14490"/></url>
<url><loc>https://scifaro.com/en/abs/how-attentive-are-graph-attention-networks-2105.14491</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-attentive-are-graph-attention-networks-2105.14491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-attentive-are-graph-attention-networks-2105.14491"/></url>
<url><loc>https://scifaro.com/en/abs/drop-clause-enhancing-performance-interpretability-and-robustness-of-the-tsetlin-machine-2105.14506</loc><lastmod>2022-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drop-clause-enhancing-performance-interpretability-and-robustness-of-the-tsetlin-machine-2105.14506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drop-clause-enhancing-performance-interpretability-and-robustness-of-the-tsetlin-machine-2105.14506"/></url>
<url><loc>https://scifaro.com/en/abs/rfcbf-enhance-the-performance-and-stability-of-fast-correlation-based-filter-2105.14519</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rfcbf-enhance-the-performance-and-stability-of-fast-correlation-based-filter-2105.14519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rfcbf-enhance-the-performance-and-stability-of-fast-correlation-based-filter-2105.14519"/></url>
<url><loc>https://scifaro.com/en/abs/lrtuner-a-learning-rate-tuner-for-deep-neural-networks-2105.14526</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lrtuner-a-learning-rate-tuner-for-deep-neural-networks-2105.14526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lrtuner-a-learning-rate-tuner-for-deep-neural-networks-2105.14526"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-benefits-of-representation-regularization-in-invariance-based-domain-generalization-2105.14529</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-benefits-of-representation-regularization-in-invariance-based-domain-generalization-2105.14529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-benefits-of-representation-regularization-in-invariance-based-domain-generalization-2105.14529"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-in-bayesian-neural-networks-with-balanced-entropy-learning-principle-2105.14559</loc><lastmod>2023-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-in-bayesian-neural-networks-with-balanced-entropy-learning-principle-2105.14559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-in-bayesian-neural-networks-with-balanced-entropy-learning-principle-2105.14559"/></url>
<url><loc>https://scifaro.com/en/abs/how-effective-are-graph-neural-networks-in-fraud-detection-for-network-data-2105.14568</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-effective-are-graph-neural-networks-in-fraud-detection-for-network-data-2105.14568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-effective-are-graph-neural-networks-in-fraud-detection-for-network-data-2105.14568"/></url>
<url><loc>https://scifaro.com/en/abs/embedding-principle-of-loss-landscape-of-deep-neural-networks-2105.14573</loc><lastmod>2022-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedding-principle-of-loss-landscape-of-deep-neural-networks-2105.14573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedding-principle-of-loss-landscape-of-deep-neural-networks-2105.14573"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-geometry-of-generalization-and-memorization-in-deep-neural-networks-2105.14602</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-geometry-of-generalization-and-memorization-in-deep-neural-networks-2105.14602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-geometry-of-generalization-and-memorization-in-deep-neural-networks-2105.14602"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-model-based-hyperparameter-tuning-for-deep-learning-with-spot-2105.14625</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-model-based-hyperparameter-tuning-for-deep-learning-with-spot-2105.14625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-model-based-hyperparameter-tuning-for-deep-learning-with-spot-2105.14625"/></url>
<url><loc>https://scifaro.com/en/abs/generating-adversarial-examples-with-graph-neural-networks-2105.14644</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-adversarial-examples-with-graph-neural-networks-2105.14644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-adversarial-examples-with-graph-neural-networks-2105.14644"/></url>
<url><loc>https://scifaro.com/en/abs/sharper-bounds-for-online-learning-of-smooth-functions-of-a-single-variable-2105.14648</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharper-bounds-for-online-learning-of-smooth-functions-of-a-single-variable-2105.14648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharper-bounds-for-online-learning-of-smooth-functions-of-a-single-variable-2105.14648"/></url>
<url><loc>https://scifaro.com/en/abs/informing-geometric-deep-learning-with-electronic-interactions-to-accelerate-quantum-chemistry-2105.14655</loc><lastmod>2023-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/informing-geometric-deep-learning-with-electronic-interactions-to-accelerate-quantum-chemistry-2105.14655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/informing-geometric-deep-learning-with-electronic-interactions-to-accelerate-quantum-chemistry-2105.14655"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-for-industrial-internet-of-things-in-future-industries-2105.14659</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-for-industrial-internet-of-things-in-future-industries-2105.14659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-for-industrial-internet-of-things-in-future-industries-2105.14659"/></url>
<url><loc>https://scifaro.com/en/abs/memory-efficient-differentiable-transformer-architecture-search-2105.14669</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-efficient-differentiable-transformer-architecture-search-2105.14669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-efficient-differentiable-transformer-architecture-search-2105.14669"/></url>
<url><loc>https://scifaro.com/en/abs/a-minimax-lower-bound-for-low-rank-matrix-variate-logistic-regression-2105.14673</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-minimax-lower-bound-for-low-rank-matrix-variate-logistic-regression-2105.14673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-minimax-lower-bound-for-low-rank-matrix-variate-logistic-regression-2105.14673"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-federated-learning-framework-for-heterogeneous-devices-of-internet-of-things-2105.14675</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-federated-learning-framework-for-heterogeneous-devices-of-internet-of-things-2105.14675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-federated-learning-framework-for-heterogeneous-devices-of-internet-of-things-2105.14675"/></url>
<url><loc>https://scifaro.com/en/abs/noilin-improving-adversarial-training-and-correcting-stereotype-of-noisy-labels-2105.14676</loc><lastmod>2022-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noilin-improving-adversarial-training-and-correcting-stereotype-of-noisy-labels-2105.14676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noilin-improving-adversarial-training-and-correcting-stereotype-of-noisy-labels-2105.14676"/></url>
<url><loc>https://scifaro.com/en/abs/combining-resampling-and-reweighting-for-faithful-stochastic-optimization-2105.14694</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-resampling-and-reweighting-for-faithful-stochastic-optimization-2105.14694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-resampling-and-reweighting-for-faithful-stochastic-optimization-2105.14694"/></url>
<url><loc>https://scifaro.com/en/abs/robustifying-ell-infty-adversarial-training-to-the-union-of-perturbation-models-2105.14710</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustifying-ell-infty-adversarial-training-to-the-union-of-perturbation-models-2105.14710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustifying-ell-infty-adversarial-training-to-the-union-of-perturbation-models-2105.14710"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-as-an-enhancement-for-reconfiguration-management-of-cyber-physical-production-systems-2105.14730</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-as-an-enhancement-for-reconfiguration-management-of-cyber-physical-production-systems-2105.14730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-as-an-enhancement-for-reconfiguration-management-of-cyber-physical-production-systems-2105.14730"/></url>
<url><loc>https://scifaro.com/en/abs/active-hierarchical-exploration-with-stable-subgoal-representation-learning-2105.14750</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-hierarchical-exploration-with-stable-subgoal-representation-learning-2105.14750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-hierarchical-exploration-with-stable-subgoal-representation-learning-2105.14750"/></url>
<url><loc>https://scifaro.com/en/abs/energy-efficient-and-federated-meta-learning-via-projected-stochastic-gradient-ascent-2105.14772</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-efficient-and-federated-meta-learning-via-projected-stochastic-gradient-ascent-2105.14772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-efficient-and-federated-meta-learning-via-projected-stochastic-gradient-ascent-2105.14772"/></url>
<url><loc>https://scifaro.com/en/abs/procedural-content-generation-better-benchmarks-for-transfer-reinforcement-learning-2105.14780</loc><lastmod>2022-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/procedural-content-generation-better-benchmarks-for-transfer-reinforcement-learning-2105.14780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/procedural-content-generation-better-benchmarks-for-transfer-reinforcement-learning-2105.14780"/></url>
<url><loc>https://scifaro.com/en/abs/two-coupled-rejection-metrics-can-tell-adversarial-examples-apart-2105.14785</loc><lastmod>2022-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-coupled-rejection-metrics-can-tell-adversarial-examples-apart-2105.14785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-coupled-rejection-metrics-can-tell-adversarial-examples-apart-2105.14785"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-data-subversion-attack-against-binary-classifiers-2105.14803</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-data-subversion-attack-against-binary-classifiers-2105.14803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-data-subversion-attack-against-binary-classifiers-2105.14803"/></url>
<url><loc>https://scifaro.com/en/abs/an-exact-counterfactual-example-based-approach-to-tree-ensemble-models-interpretability-2105.14820</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-exact-counterfactual-example-based-approach-to-tree-ensemble-models-interpretability-2105.14820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-exact-counterfactual-example-based-approach-to-tree-ensemble-models-interpretability-2105.14820"/></url>
<url><loc>https://scifaro.com/en/abs/towards-lower-bounds-on-the-depth-of-relu-neural-networks-2105.14835</loc><lastmod>2024-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-lower-bounds-on-the-depth-of-relu-neural-networks-2105.14835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-lower-bounds-on-the-depth-of-relu-neural-networks-2105.14835"/></url>
<url><loc>https://scifaro.com/en/abs/why-does-ctc-result-in-peaky-behavior-2105.14849</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-does-ctc-result-in-peaky-behavior-2105.14849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-does-ctc-result-in-peaky-behavior-2105.14849"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-regularization-for-variational-auto-encoders-2105.14859</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-regularization-for-variational-auto-encoders-2105.14859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-regularization-for-variational-auto-encoders-2105.14859"/></url>
<url><loc>https://scifaro.com/en/abs/fast-accurate-and-interpretable-time-series-classification-through-randomization-2105.14876</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-accurate-and-interpretable-time-series-classification-through-randomization-2105.14876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-accurate-and-interpretable-time-series-classification-through-randomization-2105.14876"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-multi-source-causal-inference-2105.14877</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-multi-source-causal-inference-2105.14877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-multi-source-causal-inference-2105.14877"/></url>
<url><loc>https://scifaro.com/en/abs/rawlsian-fair-adaptation-of-deep-learning-classifiers-2105.14890</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rawlsian-fair-adaptation-of-deep-learning-classifiers-2105.14890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rawlsian-fair-adaptation-of-deep-learning-classifiers-2105.14890"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-view-of-likelihood-ratio-and-reparameterization-gradients-2105.14900</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-view-of-likelihood-ratio-and-reparameterization-gradients-2105.14900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-view-of-likelihood-ratio-and-reparameterization-gradients-2105.14900"/></url>
<url><loc>https://scifaro.com/en/abs/safe-pontryagin-differentiable-programming-2105.14937</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-pontryagin-differentiable-programming-2105.14937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-pontryagin-differentiable-programming-2105.14937"/></url>
<url><loc>https://scifaro.com/en/abs/ace-node-attentive-co-evolving-neural-ordinary-differential-equations-2105.14953</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ace-node-attentive-co-evolving-neural-ordinary-differential-equations-2105.14953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ace-node-attentive-co-evolving-neural-ordinary-differential-equations-2105.14953"/></url>
<url><loc>https://scifaro.com/en/abs/oct-gan-neural-ode-based-conditional-tabular-gans-2105.14969</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oct-gan-neural-ode-based-conditional-tabular-gans-2105.14969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oct-gan-neural-ode-based-conditional-tabular-gans-2105.14969"/></url>
<url><loc>https://scifaro.com/en/abs/choose-a-transformer-fourier-or-galerkin-2105.14995</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/choose-a-transformer-fourier-or-galerkin-2105.14995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/choose-a-transformer-fourier-or-galerkin-2105.14995"/></url>
<url><loc>https://scifaro.com/en/abs/query-attack-by-multi-identity-surrogates-2105.15010</loc><lastmod>2023-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/query-attack-by-multi-identity-surrogates-2105.15010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/query-attack-by-multi-identity-surrogates-2105.15010"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-data-driven-airline-market-influence-maximization-2105.15012</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-data-driven-airline-market-influence-maximization-2105.15012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-data-driven-airline-market-influence-maximization-2105.15012"/></url>
<url><loc>https://scifaro.com/en/abs/shaq-incorporating-shapley-value-theory-into-multi-agent-q-learning-2105.15013</loc><lastmod>2023-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shaq-incorporating-shapley-value-theory-into-multi-agent-q-learning-2105.15013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shaq-incorporating-shapley-value-theory-into-multi-agent-q-learning-2105.15013"/></url>
<url><loc>https://scifaro.com/en/abs/product-progression-a-machine-learning-approach-to-forecasting-industrial-upgrading-2105.15018</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/product-progression-a-machine-learning-approach-to-forecasting-industrial-upgrading-2105.15018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/product-progression-a-machine-learning-approach-to-forecasting-industrial-upgrading-2105.15018"/></url>
<url><loc>https://scifaro.com/en/abs/oasis-an-active-framework-for-set-inversion-2105.15024</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oasis-an-active-framework-for-set-inversion-2105.15024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oasis-an-active-framework-for-set-inversion-2105.15024"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-security-in-vehicular-networks-a-comprehensive-survey-2105.15035</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-security-in-vehicular-networks-a-comprehensive-survey-2105.15035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-security-in-vehicular-networks-a-comprehensive-survey-2105.15035"/></url>
<url><loc>https://scifaro.com/en/abs/dominant-patterns-critical-features-hidden-in-deep-neural-networks-2105.15057</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dominant-patterns-critical-features-hidden-in-deep-neural-networks-2105.15057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dominant-patterns-critical-features-hidden-in-deep-neural-networks-2105.15057"/></url>
<url><loc>https://scifaro.com/en/abs/using-pareto-simulated-annealing-to-address-algorithmic-bias-in-machine-learning-2105.15064</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-pareto-simulated-annealing-to-address-algorithmic-bias-in-machine-learning-2105.15064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-pareto-simulated-annealing-to-address-algorithmic-bias-in-machine-learning-2105.15064"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-consistency-of-max-margin-losses-2105.15069</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-consistency-of-max-margin-losses-2105.15069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-consistency-of-max-margin-losses-2105.15069"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-fetal-alcohol-spectrum-disorder-in-children-using-artificial-neural-network-2105.15074</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-fetal-alcohol-spectrum-disorder-in-children-using-artificial-neural-network-2105.15074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-fetal-alcohol-spectrum-disorder-in-children-using-artificial-neural-network-2105.15074"/></url>
<url><loc>https://scifaro.com/en/abs/m6-t-exploring-sparse-expert-models-and-beyond-2105.15082</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/m6-t-exploring-sparse-expert-models-and-beyond-2105.15082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/m6-t-exploring-sparse-expert-models-and-beyond-2105.15082"/></url>
<url><loc>https://scifaro.com/en/abs/toward-understanding-the-feature-learning-process-of-self-supervised-contrastive-learning-2105.15134</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-understanding-the-feature-learning-process-of-self-supervised-contrastive-learning-2105.15134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-understanding-the-feature-learning-process-of-self-supervised-contrastive-learning-2105.15134"/></url>
<url><loc>https://scifaro.com/en/abs/dissect-disentangled-simultaneous-explanations-via-concept-traversals-2105.15164</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dissect-disentangled-simultaneous-explanations-via-concept-traversals-2105.15164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dissect-disentangled-simultaneous-explanations-via-concept-traversals-2105.15164"/></url>
<url><loc>https://scifaro.com/en/abs/model-mis-specification-and-algorithmic-bias-2105.15182</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-mis-specification-and-algorithmic-bias-2105.15182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-mis-specification-and-algorithmic-bias-2105.15182"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-and-modular-implicit-differentiation-2105.15183</loc><lastmod>2022-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-and-modular-implicit-differentiation-2105.15183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-and-modular-implicit-differentiation-2105.15183"/></url>
<url><loc>https://scifaro.com/en/abs/cvar-based-flight-energy-risk-assessment-for-multirotor-uavs-using-a-deep-energy-model-2105.15189</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cvar-based-flight-energy-risk-assessment-for-multirotor-uavs-using-a-deep-energy-model-2105.15189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cvar-based-flight-energy-risk-assessment-for-multirotor-uavs-using-a-deep-energy-model-2105.15189"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-distillation-with-personalization-in-federated-learning-2105.15191</loc><lastmod>2021-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-distillation-with-personalization-in-federated-learning-2105.15191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-distillation-with-personalization-in-federated-learning-2105.15191"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-and-classification-of-main-risk-factors-causing-stroke-in-shanxi-province-2106.00002</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-and-classification-of-main-risk-factors-causing-stroke-in-shanxi-province-2106.00002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-and-classification-of-main-risk-factors-causing-stroke-in-shanxi-province-2106.00002"/></url>
<url><loc>https://scifaro.com/en/abs/parallelized-computation-and-backpropagation-under-angle-parametrized-orthogonal-matrices-2106.00003</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelized-computation-and-backpropagation-under-angle-parametrized-orthogonal-matrices-2106.00003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelized-computation-and-backpropagation-under-angle-parametrized-orthogonal-matrices-2106.00003"/></url>
<url><loc>https://scifaro.com/en/abs/robust-discovery-of-partial-differential-equations-in-complex-situations-2106.00008</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-discovery-of-partial-differential-equations-in-complex-situations-2106.00008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-discovery-of-partial-differential-equations-in-complex-situations-2106.00008"/></url>
<url><loc>https://scifaro.com/en/abs/persistent-homology-captures-the-generalization-of-neural-networks-without-a-validation-set-2106.00012</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/persistent-homology-captures-the-generalization-of-neural-networks-without-a-validation-set-2106.00012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/persistent-homology-captures-the-generalization-of-neural-networks-without-a-validation-set-2106.00012"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-non-conservative-dynamics-for-new-physics-detection-2106.00026</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-non-conservative-dynamics-for-new-physics-detection-2106.00026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-non-conservative-dynamics-for-new-physics-detection-2106.00026"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-on-the-plasticity-of-neural-networks-2106.00042</loc><lastmod>2023-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-on-the-plasticity-of-neural-networks-2106.00042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-on-the-plasticity-of-neural-networks-2106.00042"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-generalization-in-rnns-2106.00047</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-generalization-in-rnns-2106.00047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-generalization-in-rnns-2106.00047"/></url>
<url><loc>https://scifaro.com/en/abs/stable-and-interpretable-unrolled-dictionary-learning-2106.00058</loc><lastmod>2022-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-and-interpretable-unrolled-dictionary-learning-2106.00058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-and-interpretable-unrolled-dictionary-learning-2106.00058"/></url>
<url><loc>https://scifaro.com/en/abs/node-variant-graph-filters-in-graph-neural-networks-2106.00089</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-variant-graph-filters-in-graph-neural-networks-2106.00089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-variant-graph-filters-in-graph-neural-networks-2106.00089"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-adagrad-g-adagrad-and-adam-a-state-space-perspective-2106.00092</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-adagrad-g-adagrad-and-adam-a-state-space-perspective-2106.00092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-adagrad-g-adagrad-and-adam-a-state-space-perspective-2106.00092"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-spibb-seldonian-offline-policy-improvement-with-safety-constraints-in-finite-mdps-2106.00099</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-spibb-seldonian-offline-policy-improvement-with-safety-constraints-in-finite-mdps-2106.00099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-spibb-seldonian-offline-policy-improvement-with-safety-constraints-in-finite-mdps-2106.00099"/></url>
<url><loc>https://scifaro.com/en/abs/fine-grained-generalization-analysis-of-structured-output-prediction-2106.00115</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fine-grained-generalization-analysis-of-structured-output-prediction-2106.00115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fine-grained-generalization-analysis-of-structured-output-prediction-2106.00115"/></url>
<url><loc>https://scifaro.com/en/abs/effect-of-pre-training-scale-on-intra-and-inter-domain-full-and-few-shot-transfer-learning-for-natural-and-medical-x-ray-chest-images-2106.00116</loc><lastmod>2022-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effect-of-pre-training-scale-on-intra-and-inter-domain-full-and-few-shot-transfer-learning-for-natural-and-medical-x-ray-chest-images-2106.00116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effect-of-pre-training-scale-on-intra-and-inter-domain-full-and-few-shot-transfer-learning-for-natural-and-medical-x-ray-chest-images-2106.00116"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-deep-learning-with-probabilistic-neural-networks-and-deep-probabilistic-models-2106.00120</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-deep-learning-with-probabilistic-neural-networks-and-deep-probabilistic-models-2106.00120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-deep-learning-with-probabilistic-neural-networks-and-deep-probabilistic-models-2106.00120"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-in-quantitative-algorithmic-trading-a-review-2106.00123</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-in-quantitative-algorithmic-trading-a-review-2106.00123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-in-quantitative-algorithmic-trading-a-review-2106.00123"/></url>
<url><loc>https://scifaro.com/en/abs/integer-only-neural-network-quantization-scheme-based-on-shift-batch-normalization-2106.00127</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integer-only-neural-network-quantization-scheme-based-on-shift-batch-normalization-2106.00127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integer-only-neural-network-quantization-scheme-based-on-shift-batch-normalization-2106.00127"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-friendly-representation-learning-via-instance-discrimination-and-feature-decorrelation-2106.00131</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-friendly-representation-learning-via-instance-discrimination-and-feature-decorrelation-2106.00131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-friendly-representation-learning-via-instance-discrimination-and-feature-decorrelation-2106.00131"/></url>
<url><loc>https://scifaro.com/en/abs/on-fast-sampling-of-diffusion-probabilistic-models-2106.00132</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-fast-sampling-of-diffusion-probabilistic-models-2106.00132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-fast-sampling-of-diffusion-probabilistic-models-2106.00132"/></url>
<url><loc>https://scifaro.com/en/abs/gans-can-play-lottery-tickets-too-2106.00134</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gans-can-play-lottery-tickets-too-2106.00134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gans-can-play-lottery-tickets-too-2106.00134"/></url>
<url><loc>https://scifaro.com/en/abs/tesseract-tensorised-actors-for-multi-agent-reinforcement-learning-2106.00136</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tesseract-tensorised-actors-for-multi-agent-reinforcement-learning-2106.00136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tesseract-tensorised-actors-for-multi-agent-reinforcement-learning-2106.00136"/></url>
<url><loc>https://scifaro.com/en/abs/explanations-for-monotonic-classifiers-2106.00154</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explanations-for-monotonic-classifiers-2106.00154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explanations-for-monotonic-classifiers-2106.00154"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-trajectory-prediction-using-sparse-outputs-application-to-team-sports-2106.00173</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-trajectory-prediction-using-sparse-outputs-application-to-team-sports-2106.00173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-trajectory-prediction-using-sparse-outputs-application-to-team-sports-2106.00173"/></url>
<url><loc>https://scifaro.com/en/abs/duckworth-lewis-stern-method-comparison-with-machine-learning-approach-2106.00175</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/duckworth-lewis-stern-method-comparison-with-machine-learning-approach-2106.00175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/duckworth-lewis-stern-method-comparison-with-machine-learning-approach-2106.00175"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-play-in-stochastic-games-stationary-points-convergence-and-sample-complexity-2106.00198</loc><lastmod>2023-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-play-in-stochastic-games-stationary-points-convergence-and-sample-complexity-2106.00198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-play-in-stochastic-games-stationary-points-convergence-and-sample-complexity-2106.00198"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-generative-models-for-two-dimensional-datasets-2106.00203</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-generative-models-for-two-dimensional-datasets-2106.00203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-generative-models-for-two-dimensional-datasets-2106.00203"/></url>
<url><loc>https://scifaro.com/en/abs/concurrent-adversarial-learning-for-large-batch-training-2106.00221</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concurrent-adversarial-learning-for-large-batch-training-2106.00221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concurrent-adversarial-learning-for-large-batch-training-2106.00221"/></url>
<url><loc>https://scifaro.com/en/abs/locally-valid-and-discriminative-prediction-intervals-for-deep-learning-models-2106.00225</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-valid-and-discriminative-prediction-intervals-for-deep-learning-models-2106.00225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-valid-and-discriminative-prediction-intervals-for-deep-learning-models-2106.00225"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-analysis-of-epistemic-uncertainty-in-bayesian-meta-learning-2106.00252</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-analysis-of-epistemic-uncertainty-in-bayesian-meta-learning-2106.00252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-analysis-of-epistemic-uncertainty-in-bayesian-meta-learning-2106.00252"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-pac-bayesian-framework-for-machine-unlearning-via-information-risk-minimization-2106.00265</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-pac-bayesian-framework-for-machine-unlearning-via-information-risk-minimization-2106.00265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-pac-bayesian-framework-for-machine-unlearning-via-information-risk-minimization-2106.00265"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-classifiers-robust-to-noisy-labels-2106.00274</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-classifiers-robust-to-noisy-labels-2106.00274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-classifiers-robust-to-noisy-labels-2106.00274"/></url>
<url><loc>https://scifaro.com/en/abs/h-fl-a-hierarchical-communication-efficient-and-privacy-protected-architecture-for-federated-learning-2106.00275</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/h-fl-a-hierarchical-communication-efficient-and-privacy-protected-architecture-for-federated-learning-2106.00275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/h-fl-a-hierarchical-communication-efficient-and-privacy-protected-architecture-for-federated-learning-2106.00275"/></url>
<url><loc>https://scifaro.com/en/abs/aapm-dl-sparse-view-ct-challenge-submission-report-designing-an-iterative-network-for-fanbeam-ct-with-unknown-geometry-2106.00280</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aapm-dl-sparse-view-ct-challenge-submission-report-designing-an-iterative-network-for-fanbeam-ct-with-unknown-geometry-2106.00280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aapm-dl-sparse-view-ct-challenge-submission-report-designing-an-iterative-network-for-fanbeam-ct-with-unknown-geometry-2106.00280"/></url>
<url><loc>https://scifaro.com/en/abs/more-behind-your-electricity-bill-a-dual-dnn-approach-to-non-intrusive-load-monitoring-2106.00297</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/more-behind-your-electricity-bill-a-dual-dnn-approach-to-non-intrusive-load-monitoring-2106.00297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/more-behind-your-electricity-bill-a-dual-dnn-approach-to-non-intrusive-load-monitoring-2106.00297"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-shadowgraph-simulation-of-a-3d-object-2106.00317</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-shadowgraph-simulation-of-a-3d-object-2106.00317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-shadowgraph-simulation-of-a-3d-object-2106.00317"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-domain-adaptation-by-synthesizing-distributionally-robust-experts-2106.00322</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-domain-adaptation-by-synthesizing-distributionally-robust-experts-2106.00322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-domain-adaptation-by-synthesizing-distributionally-robust-experts-2106.00322"/></url>
<url><loc>https://scifaro.com/en/abs/experiments-with-graph-convolutional-networks-for-solving-the-vertex-p-center-problem-2106.00357</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/experiments-with-graph-convolutional-networks-for-solving-the-vertex-p-center-problem-2106.00357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/experiments-with-graph-convolutional-networks-for-solving-the-vertex-p-center-problem-2106.00357"/></url>
<url><loc>https://scifaro.com/en/abs/learning-football-body-orientation-as-a-matter-of-classification-2106.00359</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-football-body-orientation-as-a-matter-of-classification-2106.00359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-football-body-orientation-as-a-matter-of-classification-2106.00359"/></url>
<url><loc>https://scifaro.com/en/abs/decision-concept-lattice-vs-decision-trees-and-random-forests-2106.00387</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-concept-lattice-vs-decision-trees-and-random-forests-2106.00387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-concept-lattice-vs-decision-trees-and-random-forests-2106.00387"/></url>
<url><loc>https://scifaro.com/en/abs/improving-conditional-coverage-via-orthogonal-quantile-regression-2106.00394</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-conditional-coverage-via-orthogonal-quantile-regression-2106.00394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-conditional-coverage-via-orthogonal-quantile-regression-2106.00394"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-models-are-strong-unsupervised-domain-adaptation-learners-2106.00417</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-models-are-strong-unsupervised-domain-adaptation-learners-2106.00417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-models-are-strong-unsupervised-domain-adaptation-learners-2106.00417"/></url>
<url><loc>https://scifaro.com/en/abs/openbox-a-generalized-black-box-optimization-service-2106.00421</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/openbox-a-generalized-black-box-optimization-service-2106.00421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/openbox-a-generalized-black-box-optimization-service-2106.00421"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-regret-for-bandit-convex-optimisation-of-ridge-functions-2106.00444</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-regret-for-bandit-convex-optimisation-of-ridge-functions-2106.00444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-regret-for-bandit-convex-optimisation-of-ridge-functions-2106.00444"/></url>
<url><loc>https://scifaro.com/en/abs/sample-selection-with-uncertainty-of-losses-for-learning-with-noisy-labels-2106.00445</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-selection-with-uncertainty-of-losses-for-learning-with-noisy-labels-2106.00445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-selection-with-uncertainty-of-losses-for-learning-with-noisy-labels-2106.00445"/></url>
<url><loc>https://scifaro.com/en/abs/instance-correction-for-learning-with-open-set-noisy-labels-2106.00455</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-correction-for-learning-with-open-set-noisy-labels-2106.00455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-correction-for-learning-with-open-set-noisy-labels-2106.00455"/></url>
<url><loc>https://scifaro.com/en/abs/a-clarification-of-the-nuances-in-the-fairness-metrics-landscape-2106.00467</loc><lastmod>2022-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-clarification-of-the-nuances-in-the-fairness-metrics-landscape-2106.00467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-clarification-of-the-nuances-in-the-fairness-metrics-landscape-2106.00467"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-processes-with-differential-privacy-2106.00474</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-processes-with-differential-privacy-2106.00474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-processes-with-differential-privacy-2106.00474"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-scheduling-for-over-the-air-federated-edge-learning-with-energy-constraints-2106.00490</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-scheduling-for-over-the-air-federated-edge-learning-with-energy-constraints-2106.00490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-scheduling-for-over-the-air-federated-edge-learning-with-energy-constraints-2106.00490"/></url>
<url><loc>https://scifaro.com/en/abs/automated-grading-of-anatomical-objective-structured-practical-exams-using-decision-trees-2106.00502</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-grading-of-anatomical-objective-structured-practical-exams-using-decision-trees-2106.00502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-grading-of-anatomical-objective-structured-practical-exams-using-decision-trees-2106.00502"/></url>
<url><loc>https://scifaro.com/en/abs/the-care-label-concept-a-certification-suite-for-trustworthy-and-resource-aware-machine-learning-2106.00512</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-care-label-concept-a-certification-suite-for-trustworthy-and-resource-aware-machine-learning-2106.00512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-care-label-concept-a-certification-suite-for-trustworthy-and-resource-aware-machine-learning-2106.00512"/></url>
<url><loc>https://scifaro.com/en/abs/student-performance-prediction-using-dynamic-neural-models-2106.00524</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/student-performance-prediction-using-dynamic-neural-models-2106.00524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/student-performance-prediction-using-dynamic-neural-models-2106.00524"/></url>
<url><loc>https://scifaro.com/en/abs/a-compression-compilation-framework-for-on-mobile-real-time-bert-applications-2106.00526</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-compression-compilation-framework-for-on-mobile-real-time-bert-applications-2106.00526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-compression-compilation-framework-for-on-mobile-real-time-bert-applications-2106.00526"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-invariance-to-spurious-correlations-why-and-how-to-pass-stress-tests-2106.00545</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-invariance-to-spurious-correlations-why-and-how-to-pass-stress-tests-2106.00545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-invariance-to-spurious-correlations-why-and-how-to-pass-stress-tests-2106.00545"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-explanations-with-relevant-sets-2106.00546</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-explanations-with-relevant-sets-2106.00546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-explanations-with-relevant-sets-2106.00546"/></url>
<url><loc>https://scifaro.com/en/abs/shine-sharing-the-inverse-estimate-from-the-forward-pass-for-bi-level-optimization-and-implicit-models-2106.00553</loc><lastmod>2023-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shine-sharing-the-inverse-estimate-from-the-forward-pass-for-bi-level-optimization-and-implicit-models-2106.00553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shine-sharing-the-inverse-estimate-from-the-forward-pass-for-bi-level-optimization-and-implicit-models-2106.00553"/></url>
<url><loc>https://scifaro.com/en/abs/iid-gan-an-iid-sampling-perspective-for-regularizing-mode-collapse-2106.00563</loc><lastmod>2023-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iid-gan-an-iid-sampling-perspective-for-regularizing-mode-collapse-2106.00563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iid-gan-an-iid-sampling-perspective-for-regularizing-mode-collapse-2106.00563"/></url>
<url><loc>https://scifaro.com/en/abs/exposing-previously-undetectable-faults-in-deep-neural-networks-2106.00576</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exposing-previously-undetectable-faults-in-deep-neural-networks-2106.00576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exposing-previously-undetectable-faults-in-deep-neural-networks-2106.00576"/></url>
<url><loc>https://scifaro.com/en/abs/improving-long-term-metrics-in-recommendation-systems-using-short-horizon-reinforcement-learning-2106.00589</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-long-term-metrics-in-recommendation-systems-using-short-horizon-reinforcement-learning-2106.00589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-long-term-metrics-in-recommendation-systems-using-short-horizon-reinforcement-learning-2106.00589"/></url>
<url><loc>https://scifaro.com/en/abs/fair-clustering-using-antidote-data-2106.00600</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-clustering-using-antidote-data-2106.00600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-clustering-using-antidote-data-2106.00600"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-predictive-uncertainty-in-medical-image-analysis-with-deep-kernel-learning-2106.00638</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-predictive-uncertainty-in-medical-image-analysis-with-deep-kernel-learning-2106.00638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-predictive-uncertainty-in-medical-image-analysis-with-deep-kernel-learning-2106.00638"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotics-of-representation-learning-in-finite-bayesian-neural-networks-2106.00651</loc><lastmod>2022-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotics-of-representation-learning-in-finite-bayesian-neural-networks-2106.00651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotics-of-representation-learning-in-finite-bayesian-neural-networks-2106.00651"/></url>
<url><loc>https://scifaro.com/en/abs/a-reinforcement-learning-approach-to-improve-communication-performance-and-energy-utilization-in-fog-based-iot-2106.00654</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reinforcement-learning-approach-to-improve-communication-performance-and-energy-utilization-in-fog-based-iot-2106.00654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reinforcement-learning-approach-to-improve-communication-performance-and-energy-utilization-in-fog-based-iot-2106.00654"/></url>
<url><loc>https://scifaro.com/en/abs/markpainting-adversarial-machine-learning-meets-inpainting-2106.00660</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markpainting-adversarial-machine-learning-meets-inpainting-2106.00660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markpainting-adversarial-machine-learning-meets-inpainting-2106.00660"/></url>
<url><loc>https://scifaro.com/en/abs/what-matters-for-adversarial-imitation-learning-2106.00672</loc><lastmod>2021-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-matters-for-adversarial-imitation-learning-2106.00672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-matters-for-adversarial-imitation-learning-2106.00672"/></url>
<url><loc>https://scifaro.com/en/abs/symmetry-via-duality-invariant-neural-network-densities-from-parameter-space-correlators-2106.00694</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetry-via-duality-invariant-neural-network-densities-from-parameter-space-correlators-2106.00694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetry-via-duality-invariant-neural-network-densities-from-parameter-space-correlators-2106.00694"/></url>
<url><loc>https://scifaro.com/en/abs/an-entropy-regularization-free-mechanism-for-policy-based-reinforcement-learning-2106.00707</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-entropy-regularization-free-mechanism-for-policy-based-reinforcement-learning-2106.00707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-entropy-regularization-free-mechanism-for-policy-based-reinforcement-learning-2106.00707"/></url>
<url><loc>https://scifaro.com/en/abs/low-complexity-recruitment-for-collaborative-mobile-crowdsourcing-using-graph-neural-networks-2106.00717</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-complexity-recruitment-for-collaborative-mobile-crowdsourcing-using-graph-neural-networks-2106.00717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-complexity-recruitment-for-collaborative-mobile-crowdsourcing-using-graph-neural-networks-2106.00717"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-collapsed-variational-inference-for-structured-gaussian-process-regression-network-2106.00719</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-collapsed-variational-inference-for-structured-gaussian-process-regression-network-2106.00719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-collapsed-variational-inference-for-structured-gaussian-process-regression-network-2106.00719"/></url>
<url><loc>https://scifaro.com/en/abs/fair-net-a-network-architecture-for-reducing-performance-disparity-between-identifiable-sub-populations-2106.00720</loc><lastmod>2023-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-net-a-network-architecture-for-reducing-performance-disparity-between-identifiable-sub-populations-2106.00720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-net-a-network-architecture-for-reducing-performance-disparity-between-identifiable-sub-populations-2106.00720"/></url>
<url><loc>https://scifaro.com/en/abs/enabling-efficiency-precision-trade-offs-for-label-trees-in-extreme-classification-2106.00730</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enabling-efficiency-precision-trade-offs-for-label-trees-in-extreme-classification-2106.00730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enabling-efficiency-precision-trade-offs-for-label-trees-in-extreme-classification-2106.00730"/></url>
<url><loc>https://scifaro.com/en/abs/post-mortem-on-a-deep-learning-contest-a-simpson-s-paradox-and-the-complementary-roles-of-scale-metrics-versus-shape-metrics-2106.00734</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-mortem-on-a-deep-learning-contest-a-simpson-s-paradox-and-the-complementary-roles-of-scale-metrics-versus-shape-metrics-2106.00734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-mortem-on-a-deep-learning-contest-a-simpson-s-paradox-and-the-complementary-roles-of-scale-metrics-versus-shape-metrics-2106.00734"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-wasserstein-gradient-flows-2106.00736</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-wasserstein-gradient-flows-2106.00736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-wasserstein-gradient-flows-2106.00736"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-representation-learning-for-time-series-with-temporal-neighborhood-coding-2106.00750</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-representation-learning-for-time-series-with-temporal-neighborhood-coding-2106.00750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-representation-learning-for-time-series-with-temporal-neighborhood-coding-2106.00750"/></url>
<url><loc>https://scifaro.com/en/abs/improving-compositionality-of-neural-networks-by-decoding-representations-to-inputs-2106.00769</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-compositionality-of-neural-networks-by-decoding-representations-to-inputs-2106.00769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-compositionality-of-neural-networks-by-decoding-representations-to-inputs-2106.00769"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-measures-for-fairness-aware-feature-selection-2106.00772</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-measures-for-fairness-aware-feature-selection-2106.00772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-measures-for-fairness-aware-feature-selection-2106.00772"/></url>
<url><loc>https://scifaro.com/en/abs/the-out-of-distribution-problem-in-explainability-and-search-methods-for-feature-importance-explanations-2106.00786</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-out-of-distribution-problem-in-explainability-and-search-methods-for-feature-importance-explanations-2106.00786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-out-of-distribution-problem-in-explainability-and-search-methods-for-feature-importance-explanations-2106.00786"/></url>
<url><loc>https://scifaro.com/en/abs/image-audio-encoding-to-improve-c2-decision-making-in-multi-domain-environment-2106.00787</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/image-audio-encoding-to-improve-c2-decision-making-in-multi-domain-environment-2106.00787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/image-audio-encoding-to-improve-c2-decision-making-in-multi-domain-environment-2106.00787"/></url>
<url><loc>https://scifaro.com/en/abs/qlsd-quantised-langevin-stochastic-dynamics-for-bayesian-federated-learning-2106.00797</loc><lastmod>2022-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qlsd-quantised-langevin-stochastic-dynamics-for-bayesian-federated-learning-2106.00797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qlsd-quantised-langevin-stochastic-dynamics-for-bayesian-federated-learning-2106.00797"/></url>
<url><loc>https://scifaro.com/en/abs/invariant-policy-learning-a-causal-perspective-2106.00808</loc><lastmod>2022-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariant-policy-learning-a-causal-perspective-2106.00808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariant-policy-learning-a-causal-perspective-2106.00808"/></url>
<url><loc>https://scifaro.com/en/abs/some-ethical-issues-in-the-review-process-of-machine-learning-conferences-2106.00810</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/some-ethical-issues-in-the-review-process-of-machine-learning-conferences-2106.00810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/some-ethical-issues-in-the-review-process-of-machine-learning-conferences-2106.00810"/></url>
<url><loc>https://scifaro.com/en/abs/weighting-vectors-for-machine-learning-numerical-harmonic-analysis-applied-to-boundary-detection-2106.00827</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighting-vectors-for-machine-learning-numerical-harmonic-analysis-applied-to-boundary-detection-2106.00827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighting-vectors-for-machine-learning-numerical-harmonic-analysis-applied-to-boundary-detection-2106.00827"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-insurance-2106.00839</loc><lastmod>2026-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-insurance-2106.00839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-insurance-2106.00839"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-pre-images-to-discover-nonlinear-relationships-in-multivariate-environments-2106.00842</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-pre-images-to-discover-nonlinear-relationships-in-multivariate-environments-2106.00842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-pre-images-to-discover-nonlinear-relationships-in-multivariate-environments-2106.00842"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-characteristics-curves-a-systematic-assessment-of-prediction-intervals-2106.00858</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-characteristics-curves-a-systematic-assessment-of-prediction-intervals-2106.00858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-characteristics-curves-a-systematic-assessment-of-prediction-intervals-2106.00858"/></url>
<url><loc>https://scifaro.com/en/abs/hyperdimensional-computing-for-efficient-distributed-classification-with-randomized-neural-networks-2106.00881</loc><lastmod>2022-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperdimensional-computing-for-efficient-distributed-classification-with-randomized-neural-networks-2106.00881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperdimensional-computing-for-efficient-distributed-classification-with-randomized-neural-networks-2106.00881"/></url>
<url><loc>https://scifaro.com/en/abs/deep-personalized-glucose-level-forecasting-using-attention-based-recurrent-neural-networks-2106.00884</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-personalized-glucose-level-forecasting-using-attention-based-recurrent-neural-networks-2106.00884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-personalized-glucose-level-forecasting-using-attention-based-recurrent-neural-networks-2106.00884"/></url>
<url><loc>https://scifaro.com/en/abs/partial-wasserstein-covering-2106.00886</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-wasserstein-covering-2106.00886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-wasserstein-covering-2106.00886"/></url>
<url><loc>https://scifaro.com/en/abs/operator-splitting-for-learning-to-predict-equilibria-in-convex-games-2106.00906</loc><lastmod>2024-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/operator-splitting-for-learning-to-predict-equilibria-in-convex-games-2106.00906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/operator-splitting-for-learning-to-predict-equilibria-in-convex-games-2106.00906"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-comparison-of-off-policy-prediction-learning-algorithms-on-the-collision-task-2106.00922</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-comparison-of-off-policy-prediction-learning-algorithms-on-the-collision-task-2106.00922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-comparison-of-off-policy-prediction-learning-algorithms-on-the-collision-task-2106.00922"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-ace-domain-generalization-through-alignment-of-causal-mechanisms-2106.00925</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-ace-domain-generalization-through-alignment-of-causal-mechanisms-2106.00925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-ace-domain-generalization-through-alignment-of-causal-mechanisms-2106.00925"/></url>
<url><loc>https://scifaro.com/en/abs/jumbo-scalable-multi-task-bayesian-optimization-using-offline-data-2106.00942</loc><lastmod>2022-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jumbo-scalable-multi-task-bayesian-optimization-using-offline-data-2106.00942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jumbo-scalable-multi-task-bayesian-optimization-using-offline-data-2106.00942"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalizable-approach-to-learning-optimizers-2106.00958</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalizable-approach-to-learning-optimizers-2106.00958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalizable-approach-to-learning-optimizers-2106.00958"/></url>
<url><loc>https://scifaro.com/en/abs/multiresolution-equivariant-graph-variational-autoencoder-2106.00967</loc><lastmod>2022-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiresolution-equivariant-graph-variational-autoencoder-2106.00967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiresolution-equivariant-graph-variational-autoencoder-2106.00967"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-rate-of-off-policy-policy-optimization-methods-with-density-ratio-correction-2106.00993</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-rate-of-off-policy-policy-optimization-methods-with-density-ratio-correction-2106.00993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-rate-of-off-policy-policy-optimization-methods-with-density-ratio-correction-2106.00993"/></url>
<url><loc>https://scifaro.com/en/abs/energy-efficient-model-compression-and-splitting-for-collaborative-inference-over-time-varying-channels-2106.00995</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-efficient-model-compression-and-splitting-for-collaborative-inference-over-time-varying-channels-2106.00995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-efficient-model-compression-and-splitting-for-collaborative-inference-over-time-varying-channels-2106.00995"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-split-learning-based-on-analog-communication-and-over-the-air-aggregation-2106.00999</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-split-learning-based-on-analog-communication-and-over-the-air-aggregation-2106.00999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-split-learning-based-on-analog-communication-and-over-the-air-aggregation-2106.00999"/></url>
<url><loc>https://scifaro.com/en/abs/warming-up-recurrent-neural-networks-to-maximise-reachable-multistability-greatly-improves-learning-2106.01001</loc><lastmod>2023-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/warming-up-recurrent-neural-networks-to-maximise-reachable-multistability-greatly-improves-learning-2106.01001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/warming-up-recurrent-neural-networks-to-maximise-reachable-multistability-greatly-improves-learning-2106.01001"/></url>
<url><loc>https://scifaro.com/en/abs/fedhealth-2-weighted-federated-transfer-learning-via-batch-normalization-for-personalized-healthcare-2106.01009</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedhealth-2-weighted-federated-transfer-learning-via-batch-normalization-for-personalized-healthcare-2106.01009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedhealth-2-weighted-federated-transfer-learning-via-batch-normalization-for-personalized-healthcare-2106.01009"/></url>
<url><loc>https://scifaro.com/en/abs/decision-making-oriented-clustering-application-to-pricing-and-power-consumption-scheduling-2106.01021</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-making-oriented-clustering-application-to-pricing-and-power-consumption-scheduling-2106.01021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-making-oriented-clustering-application-to-pricing-and-power-consumption-scheduling-2106.01021"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-in-knowledge-graphs-by-exploiting-asymmetric-properties-of-non-gaussian-distributions-2106.01043</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-in-knowledge-graphs-by-exploiting-asymmetric-properties-of-non-gaussian-distributions-2106.01043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-in-knowledge-graphs-by-exploiting-asymmetric-properties-of-non-gaussian-distributions-2106.01043"/></url>
<url><loc>https://scifaro.com/en/abs/expected-scalarised-returns-dominance-a-new-solution-concept-for-multi-objective-decision-making-2106.01048</loc><lastmod>2022-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expected-scalarised-returns-dominance-a-new-solution-concept-for-multi-objective-decision-making-2106.01048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expected-scalarised-returns-dominance-a-new-solution-concept-for-multi-objective-decision-making-2106.01048"/></url>
<url><loc>https://scifaro.com/en/abs/physics-guided-discovery-of-highly-nonlinear-parametric-partial-differential-equations-2106.01078</loc><lastmod>2023-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-guided-discovery-of-highly-nonlinear-parametric-partial-differential-equations-2106.01078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-guided-discovery-of-highly-nonlinear-parametric-partial-differential-equations-2106.01078"/></url>
<url><loc>https://scifaro.com/en/abs/online-coreset-selection-for-rehearsal-based-continual-learning-2106.01085</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-coreset-selection-for-rehearsal-based-continual-learning-2106.01085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-coreset-selection-for-rehearsal-based-continual-learning-2106.01085"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-optimality-conditions-for-compressive-ensembles-2106.01092</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-optimality-conditions-for-compressive-ensembles-2106.01092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-optimality-conditions-for-compressive-ensembles-2106.01092"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-rehearse-in-long-sequence-memorization-2106.01096</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-rehearse-in-long-sequence-memorization-2106.01096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-rehearse-in-long-sequence-memorization-2106.01096"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-metrics-for-graph-generative-models-problems-pitfalls-and-practical-solutions-2106.01098</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-metrics-for-graph-generative-models-problems-pitfalls-and-practical-solutions-2106.01098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-metrics-for-graph-generative-models-problems-pitfalls-and-practical-solutions-2106.01098"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-single-neuron-with-bias-using-gradient-descent-2106.01101</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-single-neuron-with-bias-using-gradient-descent-2106.01101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-single-neuron-with-bias-using-gradient-descent-2106.01101"/></url>
<url><loc>https://scifaro.com/en/abs/improvement-over-pinball-loss-support-vector-machine-2106.01109</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improvement-over-pinball-loss-support-vector-machine-2106.01109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improvement-over-pinball-loss-support-vector-machine-2106.01109"/></url>
<url><loc>https://scifaro.com/en/abs/linear-time-gromov-wasserstein-distances-using-low-rank-couplings-and-costs-2106.01128</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-time-gromov-wasserstein-distances-using-low-rank-couplings-and-costs-2106.01128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-time-gromov-wasserstein-distances-using-low-rank-couplings-and-costs-2106.01128"/></url>
<url><loc>https://scifaro.com/en/abs/mnl-bandit-with-knapsacks-a-near-optimal-algorithm-2106.01135</loc><lastmod>2024-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mnl-bandit-with-knapsacks-a-near-optimal-algorithm-2106.01135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mnl-bandit-with-knapsacks-a-near-optimal-algorithm-2106.01135"/></url>
<url><loc>https://scifaro.com/en/abs/towards-deeper-deep-reinforcement-learning-with-spectral-normalization-2106.01151</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-deeper-deep-reinforcement-learning-with-spectral-normalization-2106.01151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-deeper-deep-reinforcement-learning-with-spectral-normalization-2106.01151"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-ensemble-optimized-algorithm-based-on-genetic-programming-for-imbalanced-data-classification-2106.01176</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-ensemble-optimized-algorithm-based-on-genetic-programming-for-imbalanced-data-classification-2106.01176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-ensemble-optimized-algorithm-based-on-genetic-programming-for-imbalanced-data-classification-2106.01176"/></url>
<url><loc>https://scifaro.com/en/abs/evidential-turing-processes-2106.01216</loc><lastmod>2022-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evidential-turing-processes-2106.01216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evidential-turing-processes-2106.01216"/></url>
<url><loc>https://scifaro.com/en/abs/a-privacy-preserving-and-trustable-multi-agent-learning-framework-2106.01242</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-privacy-preserving-and-trustable-multi-agent-learning-framework-2106.01242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-privacy-preserving-and-trustable-multi-agent-learning-framework-2106.01242"/></url>
<url><loc>https://scifaro.com/en/abs/principled-evaluation-with-human-labels-one-rater-at-a-time-and-rater-equivalence-2106.01254</loc><lastmod>2026-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principled-evaluation-with-human-labels-one-rater-at-a-time-and-rater-equivalence-2106.01254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principled-evaluation-with-human-labels-one-rater-at-a-time-and-rater-equivalence-2106.01254"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-the-reliability-of-deep-learning-classifiers-through-robustness-evaluation-and-operational-profiles-2106.01258</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-the-reliability-of-deep-learning-classifiers-through-robustness-evaluation-and-operational-profiles-2106.01258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-the-reliability-of-deep-learning-classifiers-through-robustness-evaluation-and-operational-profiles-2106.01258"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-multi-output-quantile-forecasting-of-pv-generation-2106.01271</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-multi-output-quantile-forecasting-of-pv-generation-2106.01271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-multi-output-quantile-forecasting-of-pv-generation-2106.01271"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-the-causal-impact-of-covid-19-related-policies-on-outbreak-dynamics-a-case-study-in-the-us-2106.01315</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-the-causal-impact-of-covid-19-related-policies-on-outbreak-dynamics-a-case-study-in-the-us-2106.01315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-the-causal-impact-of-covid-19-related-policies-on-outbreak-dynamics-a-case-study-in-the-us-2106.01315"/></url>
<url><loc>https://scifaro.com/en/abs/addressing-the-long-term-impact-of-ml-decisions-via-policy-regret-2106.01325</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addressing-the-long-term-impact-of-ml-decisions-via-policy-regret-2106.01325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addressing-the-long-term-impact-of-ml-decisions-via-policy-regret-2106.01325"/></url>
<url><loc>https://scifaro.com/en/abs/improved-rates-for-differentially-private-stochastic-convex-optimization-with-heavy-tailed-data-2106.01336</loc><lastmod>2022-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-rates-for-differentially-private-stochastic-convex-optimization-with-heavy-tailed-data-2106.01336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-rates-for-differentially-private-stochastic-convex-optimization-with-heavy-tailed-data-2106.01336"/></url>
<url><loc>https://scifaro.com/en/abs/saint-improved-neural-networks-for-tabular-data-via-row-attention-and-contrastive-pre-training-2106.01342</loc><lastmod>2021-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/saint-improved-neural-networks-for-tabular-data-via-row-attention-and-contrastive-pre-training-2106.01342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/saint-improved-neural-networks-for-tabular-data-via-row-attention-and-contrastive-pre-training-2106.01342"/></url>
<url><loc>https://scifaro.com/en/abs/decision-transformer-reinforcement-learning-via-sequence-modeling-2106.01345</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-transformer-reinforcement-learning-via-sequence-modeling-2106.01345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-transformer-reinforcement-learning-via-sequence-modeling-2106.01345"/></url>
<url><loc>https://scifaro.com/en/abs/q-rbfnn-a-quantum-calculus-based-rbf-neural-network-2106.01370</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/q-rbfnn-a-quantum-calculus-based-rbf-neural-network-2106.01370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/q-rbfnn-a-quantum-calculus-based-rbf-neural-network-2106.01370"/></url>
<url><loc>https://scifaro.com/en/abs/variational-empowerment-as-representation-learning-for-goal-based-reinforcement-learning-2106.01404</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-empowerment-as-representation-learning-for-goal-based-reinforcement-learning-2106.01404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-empowerment-as-representation-learning-for-goal-based-reinforcement-learning-2106.01404"/></url>
<url><loc>https://scifaro.com/en/abs/parallelizing-thompson-sampling-2106.01420</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelizing-thompson-sampling-2106.01420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelizing-thompson-sampling-2106.01420"/></url>
<url><loc>https://scifaro.com/en/abs/one-representation-to-rule-them-all-identifying-out-of-support-examples-in-few-shot-learning-with-generic-representations-2106.01423</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-representation-to-rule-them-all-identifying-out-of-support-examples-in-few-shot-learning-with-generic-representations-2106.01423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-representation-to-rule-them-all-identifying-out-of-support-examples-in-few-shot-learning-with-generic-representations-2106.01423"/></url>
<url><loc>https://scifaro.com/en/abs/gal-gradient-assisted-learning-for-decentralized-multi-organization-collaborations-2106.01425</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gal-gradient-assisted-learning-for-decentralized-multi-organization-collaborations-2106.01425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gal-gradient-assisted-learning-for-decentralized-multi-organization-collaborations-2106.01425"/></url>
<url><loc>https://scifaro.com/en/abs/semifl-semi-supervised-federated-learning-for-unlabeled-clients-with-alternate-training-2106.01432</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semifl-semi-supervised-federated-learning-for-unlabeled-clients-with-alternate-training-2106.01432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semifl-semi-supervised-federated-learning-for-unlabeled-clients-with-alternate-training-2106.01432"/></url>
<url><loc>https://scifaro.com/en/abs/memory-wrap-a-data-efficient-and-interpretable-extension-to-image-classification-models-2106.01440</loc><lastmod>2023-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-wrap-a-data-efficient-and-interpretable-extension-to-image-classification-models-2106.01440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-wrap-a-data-efficient-and-interpretable-extension-to-image-classification-models-2106.01440"/></url>
<url><loc>https://scifaro.com/en/abs/llc-accurate-multi-purpose-learnt-low-dimensional-binary-codes-2106.01487</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/llc-accurate-multi-purpose-learnt-low-dimensional-binary-codes-2106.01487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/llc-accurate-multi-purpose-learnt-low-dimensional-binary-codes-2106.01487"/></url>
<url><loc>https://scifaro.com/en/abs/minimax-optimization-with-smooth-algorithmic-adversaries-2106.01488</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimax-optimization-with-smooth-algorithmic-adversaries-2106.01488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimax-optimization-with-smooth-algorithmic-adversaries-2106.01488"/></url>
<url><loc>https://scifaro.com/en/abs/not-all-knowledge-is-created-equal-mutual-distillation-of-confident-knowledge-2106.01489</loc><lastmod>2022-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/not-all-knowledge-is-created-equal-mutual-distillation-of-confident-knowledge-2106.01489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/not-all-knowledge-is-created-equal-mutual-distillation-of-confident-knowledge-2106.01489"/></url>
<url><loc>https://scifaro.com/en/abs/transformers-are-deep-infinite-dimensional-non-mercer-binary-kernel-machines-2106.01506</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformers-are-deep-infinite-dimensional-non-mercer-binary-kernel-machines-2106.01506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformers-are-deep-infinite-dimensional-non-mercer-binary-kernel-machines-2106.01506"/></url>
<url><loc>https://scifaro.com/en/abs/question-answering-over-temporal-knowledge-graphs-2106.01515</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/question-answering-over-temporal-knowledge-graphs-2106.01515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/question-answering-over-temporal-knowledge-graphs-2106.01515"/></url>
<url><loc>https://scifaro.com/en/abs/hyperbolically-discounted-reinforcement-learning-on-reward-punishment-framework-2106.01516</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperbolically-discounted-reinforcement-learning-on-reward-punishment-framework-2106.01516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperbolically-discounted-reinforcement-learning-on-reward-punishment-framework-2106.01516"/></url>
<url><loc>https://scifaro.com/en/abs/pdpgd-primal-dual-proximal-gradient-descent-adversarial-attack-2106.01538</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pdpgd-primal-dual-proximal-gradient-descent-adversarial-attack-2106.01538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pdpgd-primal-dual-proximal-gradient-descent-adversarial-attack-2106.01538"/></url>
<url><loc>https://scifaro.com/en/abs/luna-linear-unified-nested-attention-2106.01540</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/luna-linear-unified-nested-attention-2106.01540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/luna-linear-unified-nested-attention-2106.01540"/></url>
<url><loc>https://scifaro.com/en/abs/a-provably-efficient-model-free-algorithm-for-constrained-markov-decision-processes-2106.01577</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-provably-efficient-model-free-algorithm-for-constrained-markov-decision-processes-2106.01577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-provably-efficient-model-free-algorithm-for-constrained-markov-decision-processes-2106.01577"/></url>
<url><loc>https://scifaro.com/en/abs/cross-network-learning-with-partially-aligned-graph-convolutional-networks-2106.01583</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-network-learning-with-partially-aligned-graph-convolutional-networks-2106.01583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-network-learning-with-partially-aligned-graph-convolutional-networks-2106.01583"/></url>
<url><loc>https://scifaro.com/en/abs/simlr-machine-learning-inside-the-sir-model-for-covid-19-forecasting-2106.01590</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simlr-machine-learning-inside-the-sir-model-for-covid-19-forecasting-2106.01590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simlr-machine-learning-inside-the-sir-model-for-covid-19-forecasting-2106.01590"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-student-teacher-training-for-robust-keyword-spotting-2106.01604</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-student-teacher-training-for-robust-keyword-spotting-2106.01604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-student-teacher-training-for-robust-keyword-spotting-2106.01604"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-memorization-in-adversarial-training-2106.01606</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-memorization-in-adversarial-training-2106.01606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-memorization-in-adversarial-training-2106.01606"/></url>
<url><loc>https://scifaro.com/en/abs/grounding-complex-navigational-instructions-using-scene-graphs-2106.01607</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grounding-complex-navigational-instructions-using-scene-graphs-2106.01607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grounding-complex-navigational-instructions-using-scene-graphs-2106.01607"/></url>
<url><loc>https://scifaro.com/en/abs/a-discussion-on-the-validity-of-manifold-learning-2106.01608</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-discussion-on-the-validity-of-manifold-learning-2106.01608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-discussion-on-the-validity-of-manifold-learning-2106.01608"/></url>
<url><loc>https://scifaro.com/en/abs/node-gam-neural-generalized-additive-model-for-interpretable-deep-learning-2106.01613</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-gam-neural-generalized-additive-model-for-interpretable-deep-learning-2106.01613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-gam-neural-generalized-additive-model-for-interpretable-deep-learning-2106.01613"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-transferability-of-adversarial-examples-with-new-iteration-framework-and-input-dropout-2106.01617</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-transferability-of-adversarial-examples-with-new-iteration-framework-and-input-dropout-2106.01617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-transferability-of-adversarial-examples-with-new-iteration-framework-and-input-dropout-2106.01617"/></url>
<url><loc>https://scifaro.com/en/abs/sleeping-combinatorial-bandits-2106.01624</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sleeping-combinatorial-bandits-2106.01624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sleeping-combinatorial-bandits-2106.01624"/></url>
<url><loc>https://scifaro.com/en/abs/projection-free-graph-based-classifier-learning-using-gershgorin-disc-perfect-alignment-2106.01642</loc><lastmod>2022-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projection-free-graph-based-classifier-learning-using-gershgorin-disc-perfect-alignment-2106.01642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projection-free-graph-based-classifier-learning-using-gershgorin-disc-perfect-alignment-2106.01642"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-representation-learning-for-markov-decision-processes-2106.01655</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-representation-learning-for-markov-decision-processes-2106.01655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-representation-learning-for-markov-decision-processes-2106.01655"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representation-over-dynamic-graph-using-aggregation-diffusion-mechanism-2106.01678</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representation-over-dynamic-graph-using-aggregation-diffusion-mechanism-2106.01678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representation-over-dynamic-graph-using-aggregation-diffusion-mechanism-2106.01678"/></url>
<url><loc>https://scifaro.com/en/abs/convergent-graph-solvers-2106.01680</loc><lastmod>2022-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergent-graph-solvers-2106.01680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergent-graph-solvers-2106.01680"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-gradient-boosting-machines-for-large-scale-probabilistic-regression-2106.01682</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-gradient-boosting-machines-for-large-scale-probabilistic-regression-2106.01682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-gradient-boosting-machines-for-large-scale-probabilistic-regression-2106.01682"/></url>
<url><loc>https://scifaro.com/en/abs/emodnn-understanding-emotions-from-short-texts-through-a-deep-neural-network-ensemble-2106.01706</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emodnn-understanding-emotions-from-short-texts-through-a-deep-neural-network-ensemble-2106.01706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emodnn-understanding-emotions-from-short-texts-through-a-deep-neural-network-ensemble-2106.01706"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-with-missing-values-imputation-2106.01708</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-with-missing-values-imputation-2106.01708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-with-missing-values-imputation-2106.01708"/></url>
<url><loc>https://scifaro.com/en/abs/lymph-node-graph-neural-networks-for-cancer-metastasis-prediction-2106.01711</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lymph-node-graph-neural-networks-for-cancer-metastasis-prediction-2106.01711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lymph-node-graph-neural-networks-for-cancer-metastasis-prediction-2106.01711"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-variance-exploring-generalization-properties-of-dnns-2106.01714</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-variance-exploring-generalization-properties-of-dnns-2106.01714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-variance-exploring-generalization-properties-of-dnns-2106.01714"/></url>
<url><loc>https://scifaro.com/en/abs/lifetime-policy-reuse-and-the-importance-of-task-capacity-2106.01741</loc><lastmod>2023-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifetime-policy-reuse-and-the-importance-of-task-capacity-2106.01741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifetime-policy-reuse-and-the-importance-of-task-capacity-2106.01741"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-classifier-fusion-with-an-explicit-model-of-correlation-2106.01770</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-classifier-fusion-with-an-explicit-model-of-correlation-2106.01770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-classifier-fusion-with-an-explicit-model-of-correlation-2106.01770"/></url>
<url><loc>https://scifaro.com/en/abs/limiirl-lightweight-multiple-intent-inverse-reinforcement-learning-2106.01777</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limiirl-lightweight-multiple-intent-inverse-reinforcement-learning-2106.01777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limiirl-lightweight-multiple-intent-inverse-reinforcement-learning-2106.01777"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-models-for-dota-2-outcomes-prediction-2106.01782</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-models-for-dota-2-outcomes-prediction-2106.01782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-models-for-dota-2-outcomes-prediction-2106.01782"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-mle-backpropagating-through-discrete-exponential-family-distributions-2106.01798</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-mle-backpropagating-through-discrete-exponential-family-distributions-2106.01798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-mle-backpropagating-through-discrete-exponential-family-distributions-2106.01798"/></url>
<url><loc>https://scifaro.com/en/abs/partial-graph-reasoning-for-neural-network-regularization-2106.01805</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-graph-reasoning-for-neural-network-regularization-2106.01805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-graph-reasoning-for-neural-network-regularization-2106.01805"/></url>
<url><loc>https://scifaro.com/en/abs/minimalist-mutual-information-maximization-for-amortized-likelihood-inference-from-sampled-trajectories-2106.01808</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimalist-mutual-information-maximization-for-amortized-likelihood-inference-from-sampled-trajectories-2106.01808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimalist-mutual-information-maximization-for-amortized-likelihood-inference-from-sampled-trajectories-2106.01808"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-in-deep-networks-an-analysis-of-the-last-layer-2106.01834</loc><lastmod>2022-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-in-deep-networks-an-analysis-of-the-last-layer-2106.01834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-in-deep-networks-an-analysis-of-the-last-layer-2106.01834"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-based-algebraic-multigrid-coarsening-using-reinforcement-learning-2106.01854</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-based-algebraic-multigrid-coarsening-using-reinforcement-learning-2106.01854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-based-algebraic-multigrid-coarsening-using-reinforcement-learning-2106.01854"/></url>
<url><loc>https://scifaro.com/en/abs/specrepair-counter-example-guided-safety-repair-of-deep-neural-networks-2106.01917</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/specrepair-counter-example-guided-safety-repair-of-deep-neural-networks-2106.01917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/specrepair-counter-example-guided-safety-repair-of-deep-neural-networks-2106.01917"/></url>
<url><loc>https://scifaro.com/en/abs/causal-effect-inference-for-structured-treatments-2106.01939</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-effect-inference-for-structured-treatments-2106.01939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-effect-inference-for-structured-treatments-2106.01939"/></url>
<url><loc>https://scifaro.com/en/abs/do-neural-optimal-transport-solvers-work-a-continuous-wasserstein-2-benchmark-2106.01954</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-neural-optimal-transport-solvers-work-a-continuous-wasserstein-2-benchmark-2106.01954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-neural-optimal-transport-solvers-work-a-continuous-wasserstein-2-benchmark-2106.01954"/></url>
<url><loc>https://scifaro.com/en/abs/multiplierless-mp-kernel-machine-for-energy-efficient-edge-devices-2106.01958</loc><lastmod>2022-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiplierless-mp-kernel-machine-for-energy-efficient-edge-devices-2106.01958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiplierless-mp-kernel-machine-for-energy-efficient-edge-devices-2106.01958"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-optimal-transport-for-machine-learning-theory-and-applications-2106.01963</loc><lastmod>2021-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-optimal-transport-for-machine-learning-theory-and-applications-2106.01963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-optimal-transport-for-machine-learning-theory-and-applications-2106.01963"/></url>
<url><loc>https://scifaro.com/en/abs/global-convergence-of-multi-agent-policy-gradient-in-markov-potential-games-2106.01969</loc><lastmod>2025-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convergence-of-multi-agent-policy-gradient-in-markov-potential-games-2106.01969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convergence-of-multi-agent-policy-gradient-in-markov-potential-games-2106.01969"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-matrix-approximation-with-radial-basis-function-components-2106.02018</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-matrix-approximation-with-radial-basis-function-components-2106.02018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-matrix-approximation-with-radial-basis-function-components-2106.02018"/></url>
<url><loc>https://scifaro.com/en/abs/offline-reinforcement-learning-as-one-big-sequence-modeling-problem-2106.02039</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-reinforcement-learning-as-one-big-sequence-modeling-problem-2106.02039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-reinforcement-learning-as-one-big-sequence-modeling-problem-2106.02039"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-noisy-short-signal-camouflage-in-multi-domain-environment-decision-making-2106.02044</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-noisy-short-signal-camouflage-in-multi-domain-environment-decision-making-2106.02044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-noisy-short-signal-camouflage-in-multi-domain-environment-decision-making-2106.02044"/></url>
<url><loc>https://scifaro.com/en/abs/the-earth-mover-s-pinball-loss-quantiles-for-histogram-valued-regression-2106.02051</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-earth-mover-s-pinball-loss-quantiles-for-histogram-valued-regression-2106.02051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-earth-mover-s-pinball-loss-quantiles-for-histogram-valued-regression-2106.02051"/></url>
<url><loc>https://scifaro.com/en/abs/neural-collapse-under-mse-loss-proximity-to-and-dynamics-on-the-central-path-2106.02073</loc><lastmod>2022-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-collapse-under-mse-loss-proximity-to-and-dynamics-on-the-central-path-2106.02073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-collapse-under-mse-loss-proximity-to-and-dynamics-on-the-central-path-2106.02073"/></url>
<url><loc>https://scifaro.com/en/abs/double-descent-optimization-pattern-and-aliasing-caveats-of-noisy-labels-2106.02100</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-descent-optimization-pattern-and-aliasing-caveats-of-noisy-labels-2106.02100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-descent-optimization-pattern-and-aliasing-caveats-of-noisy-labels-2106.02100"/></url>
<url><loc>https://scifaro.com/en/abs/semi-empirical-objective-functions-for-mcmc-proposal-optimization-2106.02104</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-empirical-objective-functions-for-mcmc-proposal-optimization-2106.02104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-empirical-objective-functions-for-mcmc-proposal-optimization-2106.02104"/></url>
<url><loc>https://scifaro.com/en/abs/a-little-robustness-goes-a-long-way-leveraging-robust-features-for-targeted-transfer-attacks-2106.02105</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-little-robustness-goes-a-long-way-leveraging-robust-features-for-targeted-transfer-attacks-2106.02105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-little-robustness-goes-a-long-way-leveraging-robust-features-for-targeted-transfer-attacks-2106.02105"/></url>
<url><loc>https://scifaro.com/en/abs/finding-and-fixing-spurious-patterns-with-explanations-2106.02112</loc><lastmod>2022-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-and-fixing-spurious-patterns-with-explanations-2106.02112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-and-fixing-spurious-patterns-with-explanations-2106.02112"/></url>
<url><loc>https://scifaro.com/en/abs/a-closer-look-at-the-worst-case-behavior-of-multi-armed-bandit-algorithms-2106.02126</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-closer-look-at-the-worst-case-behavior-of-multi-armed-bandit-algorithms-2106.02126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-closer-look-at-the-worst-case-behavior-of-multi-armed-bandit-algorithms-2106.02126"/></url>
<url><loc>https://scifaro.com/en/abs/privately-learning-mixtures-of-axis-aligned-gaussians-2106.02162</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privately-learning-mixtures-of-axis-aligned-gaussians-2106.02162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privately-learning-mixtures-of-axis-aligned-gaussians-2106.02162"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-counterfactual-links-for-link-prediction-2106.02172</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-counterfactual-links-for-link-prediction-2106.02172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-counterfactual-links-for-link-prediction-2106.02172"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-graph-attention-and-curiosity-driven-policy-for-antiviral-drug-discovery-2106.02190</loc><lastmod>2022-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-graph-attention-and-curiosity-driven-policy-for-antiviral-drug-discovery-2106.02190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-graph-attention-and-curiosity-driven-policy-for-antiviral-drug-discovery-2106.02190"/></url>
<url><loc>https://scifaro.com/en/abs/cross-trajectory-representation-learning-for-zero-shot-generalization-in-rl-2106.02193</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-trajectory-representation-learning-for-zero-shot-generalization-in-rl-2106.02193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-trajectory-representation-learning-for-zero-shot-generalization-in-rl-2106.02193"/></url>
<url><loc>https://scifaro.com/en/abs/celebrating-diversity-in-shared-multi-agent-reinforcement-learning-2106.02195</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/celebrating-diversity-in-shared-multi-agent-reinforcement-learning-2106.02195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/celebrating-diversity-in-shared-multi-agent-reinforcement-learning-2106.02195"/></url>
<url><loc>https://scifaro.com/en/abs/top-k-regularization-for-supervised-feature-selection-2106.02197</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/top-k-regularization-for-supervised-feature-selection-2106.02197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/top-k-regularization-for-supervised-feature-selection-2106.02197"/></url>
<url><loc>https://scifaro.com/en/abs/enabling-lightweight-fine-tuning-for-pre-trained-language-model-compression-based-on-matrix-product-operators-2106.02205</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enabling-lightweight-fine-tuning-for-pre-trained-language-model-compression-based-on-matrix-product-operators-2106.02205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enabling-lightweight-fine-tuning-for-pre-trained-language-model-compression-based-on-matrix-product-operators-2106.02205"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-iterative-graph-matching-2106.02206</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-iterative-graph-matching-2106.02206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-iterative-graph-matching-2106.02206"/></url>
<url><loc>https://scifaro.com/en/abs/fuzzy-clustering-with-similarity-queries-2106.02212</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fuzzy-clustering-with-similarity-queries-2106.02212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fuzzy-clustering-with-similarity-queries-2106.02212"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-the-robustness-of-nmf-algorithms-2106.02213</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-the-robustness-of-nmf-algorithms-2106.02213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-the-robustness-of-nmf-algorithms-2106.02213"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-aware-unsupervised-feature-selection-2106.02216</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-aware-unsupervised-feature-selection-2106.02216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-aware-unsupervised-feature-selection-2106.02216"/></url>
<url><loc>https://scifaro.com/en/abs/fluctuation-dissipation-type-theorem-in-stochastic-linear-learning-2106.02220</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fluctuation-dissipation-type-theorem-in-stochastic-linear-learning-2106.02220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fluctuation-dissipation-type-theorem-in-stochastic-linear-learning-2106.02220"/></url>
<url><loc>https://scifaro.com/en/abs/materials-representation-and-transfer-learning-for-multi-property-prediction-2106.02225</loc><lastmod>2024-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/materials-representation-and-transfer-learning-for-multi-property-prediction-2106.02225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/materials-representation-and-transfer-learning-for-multi-property-prediction-2106.02225"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-architecture-search-for-reinforcement-learning-2106.02229</loc><lastmod>2022-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-architecture-search-for-reinforcement-learning-2106.02229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-architecture-search-for-reinforcement-learning-2106.02229"/></url>
<url><loc>https://scifaro.com/en/abs/discovery-of-causal-additive-models-in-the-presence-of-unobserved-variables-2106.02234</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovery-of-causal-additive-models-in-the-presence-of-unobserved-variables-2106.02234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovery-of-causal-additive-models-in-the-presence-of-unobserved-variables-2106.02234"/></url>
<url><loc>https://scifaro.com/en/abs/deep-contextual-learners-for-protein-networks-2106.02246</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-contextual-learners-for-protein-networks-2106.02246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-contextual-learners-for-protein-networks-2106.02246"/></url>
<url><loc>https://scifaro.com/en/abs/robustifying-reinforcement-learning-policies-with-mathcal-l-1-adaptive-control-2106.02249</loc><lastmod>2022-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustifying-reinforcement-learning-policies-with-mathcal-l-1-adaptive-control-2106.02249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustifying-reinforcement-learning-policies-with-mathcal-l-1-adaptive-control-2106.02249"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-and-reparameterization-avoid-vanishing-gradients-in-sigmoid-type-networks-2106.02260</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-and-reparameterization-avoid-vanishing-gradients-in-sigmoid-type-networks-2106.02260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-and-reparameterization-avoid-vanishing-gradients-in-sigmoid-type-networks-2106.02260"/></url>
<url><loc>https://scifaro.com/en/abs/tractable-regularization-of-probabilistic-circuits-2106.02264</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tractable-regularization-of-probabilistic-circuits-2106.02264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tractable-regularization-of-probabilistic-circuits-2106.02264"/></url>
<url><loc>https://scifaro.com/en/abs/sand-mask-an-enhanced-gradient-masking-strategy-for-the-discovery-of-invariances-in-domain-generalization-2106.02266</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sand-mask-an-enhanced-gradient-masking-strategy-for-the-discovery-of-invariances-in-domain-generalization-2106.02266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sand-mask-an-enhanced-gradient-masking-strategy-for-the-discovery-of-invariances-in-domain-generalization-2106.02266"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-dynamic-quantization-with-mixed-precision-and-adaptive-resolution-2106.02295</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-dynamic-quantization-with-mixed-precision-and-adaptive-resolution-2106.02295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-dynamic-quantization-with-mixed-precision-and-adaptive-resolution-2106.02295"/></url>
<url><loc>https://scifaro.com/en/abs/event-classification-with-multi-step-machine-learning-2106.02301</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/event-classification-with-multi-step-machine-learning-2106.02301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/event-classification-with-multi-step-machine-learning-2106.02301"/></url>
<url><loc>https://scifaro.com/en/abs/local-adaptivity-in-federated-learning-convergence-and-consistency-2106.02305</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-adaptivity-in-federated-learning-convergence-and-consistency-2106.02305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-adaptivity-in-federated-learning-convergence-and-consistency-2106.02305"/></url>
<url><loc>https://scifaro.com/en/abs/fedccea-a-practical-approach-of-client-contribution-evaluation-for-federated-learning-2106.02310</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedccea-a-practical-approach-of-client-contribution-evaluation-for-federated-learning-2106.02310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedccea-a-practical-approach-of-client-contribution-evaluation-for-federated-learning-2106.02310"/></url>
<url><loc>https://scifaro.com/en/abs/deep-switching-state-space-model-ds-3-m-for-nonlinear-time-series-forecasting-with-regime-switching-2106.02329</loc><lastmod>2025-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-switching-state-space-model-ds-3-m-for-nonlinear-time-series-forecasting-with-regime-switching-2106.02329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-switching-state-space-model-ds-3-m-for-nonlinear-time-series-forecasting-with-regime-switching-2106.02329"/></url>
<url><loc>https://scifaro.com/en/abs/adiabatic-quantum-feature-selection-for-sparse-linear-regression-2106.02357</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adiabatic-quantum-feature-selection-for-sparse-linear-regression-2106.02357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adiabatic-quantum-feature-selection-for-sparse-linear-regression-2106.02357"/></url>
<url><loc>https://scifaro.com/en/abs/learning-slice-aware-representations-with-mixture-of-attentions-2106.02363</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-slice-aware-representations-with-mixture-of-attentions-2106.02363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-slice-aware-representations-with-mixture-of-attentions-2106.02363"/></url>
<url><loc>https://scifaro.com/en/abs/online-reinforcement-learning-with-sparse-rewards-through-an-active-inference-capsule-2106.02390</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-reinforcement-learning-with-sparse-rewards-through-an-active-inference-capsule-2106.02390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-reinforcement-learning-with-sparse-rewards-through-an-active-inference-capsule-2106.02390"/></url>
<url><loc>https://scifaro.com/en/abs/multitask-online-mirror-descent-2106.02393</loc><lastmod>2022-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multitask-online-mirror-descent-2106.02393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multitask-online-mirror-descent-2106.02393"/></url>
<url><loc>https://scifaro.com/en/abs/strategyproof-learning-building-trustworthy-user-generated-datasets-2106.02398</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strategyproof-learning-building-trustworthy-user-generated-datasets-2106.02398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strategyproof-learning-building-trustworthy-user-generated-datasets-2106.02398"/></url>
<url><loc>https://scifaro.com/en/abs/resource-allocation-in-disaggregated-data-centre-systems-with-reinforcement-learning-2106.02412</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resource-allocation-in-disaggregated-data-centre-systems-with-reinforcement-learning-2106.02412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resource-allocation-in-disaggregated-data-centre-systems-with-reinforcement-learning-2106.02412"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-semi-supervised-framework-for-call-center-agent-malpractice-detection-via-neural-feature-learning-2106.02433</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-semi-supervised-framework-for-call-center-agent-malpractice-detection-via-neural-feature-learning-2106.02433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-semi-supervised-framework-for-call-center-agent-malpractice-detection-via-neural-feature-learning-2106.02433"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-multi-armed-bandits-with-unrestricted-delay-distributions-2106.02436</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-multi-armed-bandits-with-unrestricted-delay-distributions-2106.02436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-multi-armed-bandits-with-unrestricted-delay-distributions-2106.02436"/></url>
<url><loc>https://scifaro.com/en/abs/graph-barlow-twins-a-self-supervised-representation-learning-framework-for-graphs-2106.02466</loc><lastmod>2023-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-barlow-twins-a-self-supervised-representation-learning-framework-for-graphs-2106.02466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-barlow-twins-a-self-supervised-representation-learning-framework-for-graphs-2106.02466"/></url>
<url><loc>https://scifaro.com/en/abs/can-convolutional-resnets-approximately-preserve-input-distances-a-frequency-analysis-perspective-2106.02469</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-convolutional-resnets-approximately-preserve-input-distances-a-frequency-analysis-perspective-2106.02469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-convolutional-resnets-approximately-preserve-input-distances-a-frequency-analysis-perspective-2106.02469"/></url>
<url><loc>https://scifaro.com/en/abs/neural-architecture-search-via-bregman-iterations-2106.02479</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-architecture-search-via-bregman-iterations-2106.02479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-architecture-search-via-bregman-iterations-2106.02479"/></url>
<url><loc>https://scifaro.com/en/abs/debiasing-a-first-order-heuristic-for-approximate-bi-level-optimization-2106.02487</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/debiasing-a-first-order-heuristic-for-approximate-bi-level-optimization-2106.02487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/debiasing-a-first-order-heuristic-for-approximate-bi-level-optimization-2106.02487"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-local-explanations-using-white-box-models-2106.02488</loc><lastmod>2022-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-local-explanations-using-white-box-models-2106.02488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-local-explanations-using-white-box-models-2106.02488"/></url>
<url><loc>https://scifaro.com/en/abs/homological-time-series-analysis-of-sensor-signals-from-power-plants-2106.02493</loc><lastmod>2026-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/homological-time-series-analysis-of-sensor-signals-from-power-plants-2106.02493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/homological-time-series-analysis-of-sensor-signals-from-power-plants-2106.02493"/></url>
<url><loc>https://scifaro.com/en/abs/generative-text-modeling-through-short-run-inference-2106.02513</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-text-modeling-through-short-run-inference-2106.02513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-text-modeling-through-short-run-inference-2106.02513"/></url>
<url><loc>https://scifaro.com/en/abs/transferable-and-distributed-user-association-policies-for-5g-and-beyond-networks-2106.02540</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferable-and-distributed-user-association-policies-for-5g-and-beyond-networks-2106.02540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferable-and-distributed-user-association-policies-for-5g-and-beyond-networks-2106.02540"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-wasserstein-discrepancy-for-incomparable-distributions-2106.02542</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-wasserstein-discrepancy-for-incomparable-distributions-2106.02542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-wasserstein-discrepancy-for-incomparable-distributions-2106.02542"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-dynamical-system-simulations-with-contracting-and-physics-projected-neural-newton-solvers-2106.02543</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-dynamical-system-simulations-with-contracting-and-physics-projected-neural-newton-solvers-2106.02543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-dynamical-system-simulations-with-contracting-and-physics-projected-neural-newton-solvers-2106.02543"/></url>
<url><loc>https://scifaro.com/en/abs/detect-the-interactions-that-matter-in-matter-geometric-attention-for-many-body-systems-2106.02549</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detect-the-interactions-that-matter-in-matter-geometric-attention-for-many-body-systems-2106.02549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detect-the-interactions-that-matter-in-matter-geometric-attention-for-many-body-systems-2106.02549"/></url>
<url><loc>https://scifaro.com/en/abs/active-covering-2106.02552</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-covering-2106.02552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-covering-2106.02552"/></url>
<url><loc>https://scifaro.com/en/abs/fair-exploration-via-axiomatic-bargaining-2106.02553</loc><lastmod>2022-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-exploration-via-axiomatic-bargaining-2106.02553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-exploration-via-axiomatic-bargaining-2106.02553"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-rates-of-locally-differentially-private-heavy-tailed-multi-armed-bandits-2106.02575</loc><lastmod>2022-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-rates-of-locally-differentially-private-heavy-tailed-multi-armed-bandits-2106.02575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-rates-of-locally-differentially-private-heavy-tailed-multi-armed-bandits-2106.02575"/></url>
<url><loc>https://scifaro.com/en/abs/self-attention-between-datapoints-going-beyond-individual-input-output-pairs-in-deep-learning-2106.02584</loc><lastmod>2022-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-attention-between-datapoints-going-beyond-individual-input-output-pairs-in-deep-learning-2106.02584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-attention-between-datapoints-going-beyond-individual-input-output-pairs-in-deep-learning-2106.02584"/></url>
<url><loc>https://scifaro.com/en/abs/a-procedural-world-generation-framework-for-systematic-evaluation-of-continual-learning-2106.02585</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-procedural-world-generation-framework-for-systematic-evaluation-of-continual-learning-2106.02585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-procedural-world-generation-framework-for-systematic-evaluation-of-continual-learning-2106.02585"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-descent-with-noise-of-machine-learning-type-part-ii-continuous-time-analysis-2106.02588</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-descent-with-noise-of-machine-learning-type-part-ii-continuous-time-analysis-2106.02588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-descent-with-noise-of-machine-learning-type-part-ii-continuous-time-analysis-2106.02588"/></url>
<url><loc>https://scifaro.com/en/abs/model-agnostic-and-scalable-counterfactual-explanations-via-reinforcement-learning-2106.02597</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-agnostic-and-scalable-counterfactual-explanations-via-reinforcement-learning-2106.02597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-agnostic-and-scalable-counterfactual-explanations-via-reinforcement-learning-2106.02597"/></url>
<url><loc>https://scifaro.com/en/abs/causal-graph-discovery-from-self-and-mutually-exciting-time-series-2106.02600</loc><lastmod>2023-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-graph-discovery-from-self-and-mutually-exciting-time-series-2106.02600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-graph-discovery-from-self-and-mutually-exciting-time-series-2106.02600"/></url>
<url><loc>https://scifaro.com/en/abs/indid-instant-disorder-detection-via-representation-learning-2106.02602</loc><lastmod>2025-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/indid-instant-disorder-detection-via-representation-learning-2106.02602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/indid-instant-disorder-detection-via-representation-learning-2106.02602"/></url>
<url><loc>https://scifaro.com/en/abs/a-holistic-approach-to-interpretability-in-financial-lending-models-visualizations-and-summary-explanations-2106.02605</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-holistic-approach-to-interpretability-in-financial-lending-models-visualizations-and-summary-explanations-2106.02605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-holistic-approach-to-interpretability-in-financial-lending-models-visualizations-and-summary-explanations-2106.02605"/></url>
<url><loc>https://scifaro.com/en/abs/influence-estimation-and-maximization-via-neural-mean-field-dynamics-2106.02608</loc><lastmod>2021-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/influence-estimation-and-maximization-via-neural-mean-field-dynamics-2106.02608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/influence-estimation-and-maximization-via-neural-mean-field-dynamics-2106.02608"/></url>
<url><loc>https://scifaro.com/en/abs/sigma-delta-and-distributed-noise-shaping-quantization-methods-for-random-fourier-features-2106.02614</loc><lastmod>2022-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sigma-delta-and-distributed-noise-shaping-quantization-methods-for-random-fourier-features-2106.02614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sigma-delta-and-distributed-noise-shaping-quantization-methods-for-random-fourier-features-2106.02614"/></url>
<url><loc>https://scifaro.com/en/abs/forward-super-resolution-how-can-gans-learn-hierarchical-generative-models-for-real-world-distributions-2106.02619</loc><lastmod>2023-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forward-super-resolution-how-can-gans-learn-hierarchical-generative-models-for-real-world-distributions-2106.02619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forward-super-resolution-how-can-gans-learn-hierarchical-generative-models-for-real-world-distributions-2106.02619"/></url>
<url><loc>https://scifaro.com/en/abs/vivit-curvature-access-through-the-generalized-gauss-newton-s-low-rank-structure-2106.02624</loc><lastmod>2022-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vivit-curvature-access-through-the-generalized-gauss-newton-s-low-rank-structure-2106.02624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vivit-curvature-access-through-the-generalized-gauss-newton-s-low-rank-structure-2106.02624"/></url>
<url><loc>https://scifaro.com/en/abs/churn-reduction-via-distillation-2106.02654</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/churn-reduction-via-distillation-2106.02654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/churn-reduction-via-distillation-2106.02654"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-explanations-can-be-manipulated-2106.02666</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-explanations-can-be-manipulated-2106.02666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-explanations-can-be-manipulated-2106.02666"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-empirical-risk-minimization-under-the-fairness-lens-2106.02674</loc><lastmod>2022-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-empirical-risk-minimization-under-the-fairness-lens-2106.02674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-empirical-risk-minimization-under-the-fairness-lens-2106.02674"/></url>
<url><loc>https://scifaro.com/en/abs/layered-gradient-accumulation-and-modular-pipeline-parallelism-fast-and-efficient-training-of-large-language-models-2106.02679</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layered-gradient-accumulation-and-modular-pipeline-parallelism-fast-and-efficient-training-of-large-language-models-2106.02679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layered-gradient-accumulation-and-modular-pipeline-parallelism-fast-and-efficient-training-of-large-language-models-2106.02679"/></url>
<url><loc>https://scifaro.com/en/abs/learning-policies-with-zero-or-bounded-constraint-violation-for-constrained-mdps-2106.02684</loc><lastmod>2023-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-policies-with-zero-or-bounded-constraint-violation-for-constrained-mdps-2106.02684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-policies-with-zero-or-bounded-constraint-violation-for-constrained-mdps-2106.02684"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-with-fewer-tasks-through-task-interpolation-2106.02695</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-with-fewer-tasks-through-task-interpolation-2106.02695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-with-fewer-tasks-through-task-interpolation-2106.02695"/></url>
<url><loc>https://scifaro.com/en/abs/enterprise-scale-search-accelerating-inference-for-sparse-extreme-multi-label-ranking-trees-2106.02697</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enterprise-scale-search-accelerating-inference-for-sparse-extreme-multi-label-ranking-trees-2106.02697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enterprise-scale-search-accelerating-inference-for-sparse-extreme-multi-label-ranking-trees-2106.02697"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-improving-fairness-accuracy-trade-offs-in-multi-task-learning-2106.02705</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-improving-fairness-accuracy-trade-offs-in-multi-task-learning-2106.02705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-improving-fairness-accuracy-trade-offs-in-multi-task-learning-2106.02705"/></url>
<url><loc>https://scifaro.com/en/abs/sketchgen-generating-constrained-cad-sketches-2106.02711</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sketchgen-generating-constrained-cad-sketches-2106.02711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sketchgen-generating-constrained-cad-sketches-2106.02711"/></url>
<url><loc>https://scifaro.com/en/abs/point-cloud-failure-criterion-for-composites-using-k-nearest-neighbor-classification-2106.02714</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/point-cloud-failure-criterion-for-composites-using-k-nearest-neighbor-classification-2106.02714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/point-cloud-failure-criterion-for-composites-using-k-nearest-neighbor-classification-2106.02714"/></url>
<url><loc>https://scifaro.com/en/abs/an-even-more-optimal-stochastic-optimization-algorithm-minibatching-and-interpolation-learning-2106.02720</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-even-more-optimal-stochastic-optimization-algorithm-minibatching-and-interpolation-learning-2106.02720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-even-more-optimal-stochastic-optimization-algorithm-minibatching-and-interpolation-learning-2106.02720"/></url>
<url><loc>https://scifaro.com/en/abs/bo-dba-query-efficient-decision-based-adversarial-attacks-via-bayesian-optimization-2106.02732</loc><lastmod>2023-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bo-dba-query-efficient-decision-based-adversarial-attacks-via-bayesian-optimization-2106.02732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bo-dba-query-efficient-decision-based-adversarial-attacks-via-bayesian-optimization-2106.02732"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-hilbert-schmidt-information-bottleneck-for-adversarial-robustness-2106.02734</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-hilbert-schmidt-information-bottleneck-for-adversarial-robustness-2106.02734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-hilbert-schmidt-information-bottleneck-for-adversarial-robustness-2106.02734"/></url>
<url><loc>https://scifaro.com/en/abs/exposing-the-implicit-energy-networks-behind-masked-language-models-via-metropolis-hastings-2106.02736</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exposing-the-implicit-energy-networks-behind-masked-language-models-via-metropolis-hastings-2106.02736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exposing-the-implicit-energy-networks-behind-masked-language-models-via-metropolis-hastings-2106.02736"/></url>
<url><loc>https://scifaro.com/en/abs/encoder-decoder-neural-architecture-optimization-for-keyword-spotting-2106.02738</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encoder-decoder-neural-architecture-optimization-for-keyword-spotting-2106.02738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encoder-decoder-neural-architecture-optimization-for-keyword-spotting-2106.02738"/></url>
<url><loc>https://scifaro.com/en/abs/latent-time-adaptive-drift-diffusion-model-2106.02742</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-time-adaptive-drift-diffusion-model-2106.02742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-time-adaptive-drift-diffusion-model-2106.02742"/></url>
<url><loc>https://scifaro.com/en/abs/spreadgnn-serverless-multi-task-federated-learning-for-graph-neural-networks-2106.02743</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spreadgnn-serverless-multi-task-federated-learning-for-graph-neural-networks-2106.02743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spreadgnn-serverless-multi-task-federated-learning-for-graph-neural-networks-2106.02743"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-approximation-on-algebraic-varieties-2106.02755</loc><lastmod>2023-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-approximation-on-algebraic-varieties-2106.02755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-approximation-on-algebraic-varieties-2106.02755"/></url>
<url><loc>https://scifaro.com/en/abs/heuristic-guided-reinforcement-learning-2106.02757</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heuristic-guided-reinforcement-learning-2106.02757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heuristic-guided-reinforcement-learning-2106.02757"/></url>
<url><loc>https://scifaro.com/en/abs/deep-bayesian-active-learning-for-accelerating-stochastic-simulation-2106.02770</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-bayesian-active-learning-for-accelerating-stochastic-simulation-2106.02770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-bayesian-active-learning-for-accelerating-stochastic-simulation-2106.02770"/></url>
<url><loc>https://scifaro.com/en/abs/solving-hybrid-machine-learning-tasks-by-traversing-weight-space-geodesics-2106.02793</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-hybrid-machine-learning-tasks-by-traversing-weight-space-geodesics-2106.02793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-hybrid-machine-learning-tasks-by-traversing-weight-space-geodesics-2106.02793"/></url>
<url><loc>https://scifaro.com/en/abs/learnable-fourier-features-for-multi-dimensional-spatial-positional-encoding-2106.02795</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learnable-fourier-features-for-multi-dimensional-spatial-positional-encoding-2106.02795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learnable-fourier-features-for-multi-dimensional-spatial-positional-encoding-2106.02795"/></url>
<url><loc>https://scifaro.com/en/abs/a-variational-perspective-on-diffusion-based-generative-models-and-score-matching-2106.02808</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variational-perspective-on-diffusion-based-generative-models-and-score-matching-2106.02808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variational-perspective-on-diffusion-based-generative-models-and-score-matching-2106.02808"/></url>
<url><loc>https://scifaro.com/en/abs/imgagn-imbalanced-network-embedding-via-generative-adversarial-graph-networks-2106.02817</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imgagn-imbalanced-network-embedding-via-generative-adversarial-graph-networks-2106.02817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imgagn-imbalanced-network-embedding-via-generative-adversarial-graph-networks-2106.02817"/></url>
<url><loc>https://scifaro.com/en/abs/variational-leakage-the-role-of-information-complexity-in-privacy-leakage-2106.02818</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-leakage-the-role-of-information-complexity-in-privacy-leakage-2106.02818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-leakage-the-role-of-information-complexity-in-privacy-leakage-2106.02818"/></url>
<url><loc>https://scifaro.com/en/abs/graphmi-extracting-private-graph-data-from-graph-neural-networks-2106.02820</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphmi-extracting-private-graph-data-from-graph-neural-networks-2106.02820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphmi-extracting-private-graph-data-from-graph-neural-networks-2106.02820"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-role-of-entropy-based-loss-for-learning-causal-structures-with-continuous-optimization-2106.02835</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-role-of-entropy-based-loss-for-learning-causal-structures-with-continuous-optimization-2106.02835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-role-of-entropy-based-loss-for-learning-causal-structures-with-continuous-optimization-2106.02835"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-generalized-additive-2-model-with-consideration-of-high-order-interactions-2106.02836</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-generalized-additive-2-model-with-consideration-of-high-order-interactions-2106.02836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-generalized-additive-2-model-with-consideration-of-high-order-interactions-2106.02836"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-contrastive-learning-for-improving-fairness-in-self-supervised-learning-2106.02866</loc><lastmod>2022-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-contrastive-learning-for-improving-fairness-in-self-supervised-learning-2106.02866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-contrastive-learning-for-improving-fairness-in-self-supervised-learning-2106.02866"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-defense-with-data-diversity-weak-correlation-implies-strong-robustness-2106.02867</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-defense-with-data-diversity-weak-correlation-implies-strong-robustness-2106.02867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-defense-with-data-diversity-weak-correlation-implies-strong-robustness-2106.02867"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-auxiliary-information-in-self-supervised-learning-2106.02869</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-auxiliary-information-in-self-supervised-learning-2106.02869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-auxiliary-information-in-self-supervised-learning-2106.02869"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-expert-odes-into-neural-odes-pharmacology-and-disease-progression-2106.02875</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-expert-odes-into-neural-odes-pharmacology-and-disease-progression-2106.02875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-expert-odes-into-neural-odes-pharmacology-and-disease-progression-2106.02875"/></url>
<url><loc>https://scifaro.com/en/abs/graph-infomax-adversarial-learning-for-treatment-effect-estimation-with-networked-observational-data-2106.02881</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-infomax-adversarial-learning-for-treatment-effect-estimation-with-networked-observational-data-2106.02881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-infomax-adversarial-learning-for-treatment-effect-estimation-with-networked-observational-data-2106.02881"/></url>
<url><loc>https://scifaro.com/en/abs/context-aware-sparse-deep-coordination-graphs-2106.02886</loc><lastmod>2022-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-aware-sparse-deep-coordination-graphs-2106.02886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-aware-sparse-deep-coordination-graphs-2106.02886"/></url>
<url><loc>https://scifaro.com/en/abs/bandwidth-based-step-sizes-for-non-convex-stochastic-optimization-2106.02888</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandwidth-based-step-sizes-for-non-convex-stochastic-optimization-2106.02888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandwidth-based-step-sizes-for-non-convex-stochastic-optimization-2106.02888"/></url>
<url><loc>https://scifaro.com/en/abs/can-subnetwork-structure-be-the-key-to-out-of-distribution-generalization-2106.02890</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-subnetwork-structure-be-the-key-to-out-of-distribution-generalization-2106.02890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-subnetwork-structure-be-the-key-to-out-of-distribution-generalization-2106.02890"/></url>
<url><loc>https://scifaro.com/en/abs/training-robust-graph-neural-networks-with-topology-adaptive-edge-dropping-2106.02892</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-robust-graph-neural-networks-with-topology-adaptive-edge-dropping-2106.02892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-robust-graph-neural-networks-with-topology-adaptive-edge-dropping-2106.02892"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-multi-armed-bandits-in-the-shuffle-model-2106.02900</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-multi-armed-bandits-in-the-shuffle-model-2106.02900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-multi-armed-bandits-in-the-shuffle-model-2106.02900"/></url>
<url><loc>https://scifaro.com/en/abs/local-disentanglement-in-variational-auto-encoders-using-jacobian-l-1-regularization-2106.02923</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-disentanglement-in-variational-auto-encoders-using-jacobian-l-1-regularization-2106.02923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-disentanglement-in-variational-auto-encoders-using-jacobian-l-1-regularization-2106.02923"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-normal-training-for-deep-learning-models-2106.02925</loc><lastmod>2021-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-normal-training-for-deep-learning-models-2106.02925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-normal-training-for-deep-learning-models-2106.02925"/></url>
<url><loc>https://scifaro.com/en/abs/k-mixup-regularization-for-deep-learning-via-optimal-transport-2106.02933</loc><lastmod>2023-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/k-mixup-regularization-for-deep-learning-via-optimal-transport-2106.02933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/k-mixup-regularization-for-deep-learning-via-optimal-transport-2106.02933"/></url>
<url><loc>https://scifaro.com/en/abs/energy-based-learning-for-cooperative-games-with-applications-to-valuation-problems-in-machine-learning-2106.02938</loc><lastmod>2022-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-based-learning-for-cooperative-games-with-applications-to-valuation-problems-in-machine-learning-2106.02938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-based-learning-for-cooperative-games-with-applications-to-valuation-problems-in-machine-learning-2106.02938"/></url>
<url><loc>https://scifaro.com/en/abs/same-state-different-task-continual-reinforcement-learning-without-interference-2106.02940</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/same-state-different-task-continual-reinforcement-learning-without-interference-2106.02940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/same-state-different-task-continual-reinforcement-learning-without-interference-2106.02940"/></url>
<url><loc>https://scifaro.com/en/abs/learning-routines-for-effective-off-policy-reinforcement-learning-2106.02943</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-routines-for-effective-off-policy-reinforcement-learning-2106.02943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-routines-for-effective-off-policy-reinforcement-learning-2106.02943"/></url>
<url><loc>https://scifaro.com/en/abs/extracting-weighted-automata-for-approximate-minimization-in-language-modelling-2106.02965</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extracting-weighted-automata-for-approximate-minimization-in-language-modelling-2106.02965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extracting-weighted-automata-for-approximate-minimization-in-language-modelling-2106.02965"/></url>
<url><loc>https://scifaro.com/en/abs/low-budget-active-learning-via-wasserstein-distance-an-integer-programming-approach-2106.02968</loc><lastmod>2023-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-budget-active-learning-via-wasserstein-distance-an-integer-programming-approach-2106.02968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-budget-active-learning-via-wasserstein-distance-an-integer-programming-approach-2106.02968"/></url>
<url><loc>https://scifaro.com/en/abs/fednl-making-newton-type-methods-applicable-to-federated-learning-2106.02969</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fednl-making-newton-type-methods-applicable-to-federated-learning-2106.02969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fednl-making-newton-type-methods-applicable-to-federated-learning-2106.02969"/></url>
<url><loc>https://scifaro.com/en/abs/forced-variational-integrator-networks-for-prediction-and-control-of-mechanical-systems-2106.02973</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forced-variational-integrator-networks-for-prediction-and-control-of-mechanical-systems-2106.02973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forced-variational-integrator-networks-for-prediction-and-control-of-mechanical-systems-2106.02973"/></url>
<url><loc>https://scifaro.com/en/abs/escaping-saddle-points-faster-with-stochastic-momentum-2106.02985</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/escaping-saddle-points-faster-with-stochastic-momentum-2106.02985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/escaping-saddle-points-faster-with-stochastic-momentum-2106.02985"/></url>
<url><loc>https://scifaro.com/en/abs/pid-gan-a-gan-framework-based-on-a-physics-informed-discriminator-for-uncertainty-quantification-with-physics-2106.02993</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pid-gan-a-gan-framework-based-on-a-physics-informed-discriminator-for-uncertainty-quantification-with-physics-2106.02993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pid-gan-a-gan-framework-based-on-a-physics-informed-discriminator-for-uncertainty-quantification-with-physics-2106.02993"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-limits-of-out-of-distribution-detection-2106.03004</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-limits-of-out-of-distribution-detection-2106.03004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-limits-of-out-of-distribution-detection-2106.03004"/></url>
<url><loc>https://scifaro.com/en/abs/learning-proofs-for-the-classification-of-nilpotent-semigroups-2106.03015</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-proofs-for-the-classification-of-nilpotent-semigroups-2106.03015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-proofs-for-the-classification-of-nilpotent-semigroups-2106.03015"/></url>
<url><loc>https://scifaro.com/en/abs/topological-measurement-of-deep-neural-networks-using-persistent-homology-2106.03016</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-measurement-of-deep-neural-networks-using-persistent-homology-2106.03016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-measurement-of-deep-neural-networks-using-persistent-homology-2106.03016"/></url>
<url><loc>https://scifaro.com/en/abs/model-zoo-a-growing-brain-that-learns-continually-2106.03027</loc><lastmod>2024-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-zoo-a-growing-brain-that-learns-continually-2106.03027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-zoo-a-growing-brain-that-learns-continually-2106.03027"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-causal-discovery-with-atomic-interventions-2106.03028</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-causal-discovery-with-atomic-interventions-2106.03028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-causal-discovery-with-atomic-interventions-2106.03028"/></url>
<url><loc>https://scifaro.com/en/abs/graph-belief-propagation-networks-2106.03033</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-belief-propagation-networks-2106.03033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-belief-propagation-networks-2106.03033"/></url>
<url><loc>https://scifaro.com/en/abs/multi-facet-contextual-bandits-a-neural-network-perspective-2106.03039</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-facet-contextual-bandits-a-neural-network-perspective-2106.03039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-facet-contextual-bandits-a-neural-network-perspective-2106.03039"/></url>
<url><loc>https://scifaro.com/en/abs/damsl-domain-agnostic-meta-score-based-learning-2106.03041</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/damsl-domain-agnostic-meta-score-based-learning-2106.03041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/damsl-domain-agnostic-meta-score-based-learning-2106.03041"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-continuous-control-with-double-actors-and-regularized-critics-2106.03050</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-continuous-control-with-double-actors-and-regularized-critics-2106.03050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-continuous-control-with-double-actors-and-regularized-critics-2106.03050"/></url>
<url><loc>https://scifaro.com/en/abs/schedulenet-learn-to-solve-multi-agent-scheduling-problems-with-reinforcement-learning-2106.03051</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/schedulenet-learn-to-solve-multi-agent-scheduling-problems-with-reinforcement-learning-2106.03051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/schedulenet-learn-to-solve-multi-agent-scheduling-problems-with-reinforcement-learning-2106.03051"/></url>
<url><loc>https://scifaro.com/en/abs/on-training-sample-memorization-lessons-from-benchmarking-generative-modeling-with-a-large-scale-competition-2106.03062</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-training-sample-memorization-lessons-from-benchmarking-generative-modeling-with-a-large-scale-competition-2106.03062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-training-sample-memorization-lessons-from-benchmarking-generative-modeling-with-a-large-scale-competition-2106.03062"/></url>
<url><loc>https://scifaro.com/en/abs/dl-dda-deep-learning-based-dynamic-difficulty-adjustment-with-ux-and-gameplay-constraints-2106.03075</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dl-dda-deep-learning-based-dynamic-difficulty-adjustment-with-ux-and-gameplay-constraints-2106.03075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dl-dda-deep-learning-based-dynamic-difficulty-adjustment-with-ux-and-gameplay-constraints-2106.03075"/></url>
<url><loc>https://scifaro.com/en/abs/a-convergence-theory-for-svgd-in-the-population-limit-under-talagrand-s-inequality-t1-2106.03076</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convergence-theory-for-svgd-in-the-population-limit-under-talagrand-s-inequality-t1-2106.03076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convergence-theory-for-svgd-in-the-population-limit-under-talagrand-s-inequality-t1-2106.03076"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-deep-neural-network-architecture-for-non-linear-system-identification-2106.03078</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-deep-neural-network-architecture-for-non-linear-system-identification-2106.03078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-deep-neural-network-architecture-for-non-linear-system-identification-2106.03078"/></url>
<url><loc>https://scifaro.com/en/abs/tabularnet-a-neural-network-architecture-for-understanding-semantic-structures-of-tabular-data-2106.03096</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tabularnet-a-neural-network-architecture-for-understanding-semantic-structures-of-tabular-data-2106.03096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tabularnet-a-neural-network-architecture-for-understanding-semantic-structures-of-tabular-data-2106.03096"/></url>
<url><loc>https://scifaro.com/en/abs/preservation-of-the-global-knowledge-by-not-true-distillation-in-federated-learning-2106.03097</loc><lastmod>2022-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preservation-of-the-global-knowledge-by-not-true-distillation-in-federated-learning-2106.03097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preservation-of-the-global-knowledge-by-not-true-distillation-in-federated-learning-2106.03097"/></url>
<url><loc>https://scifaro.com/en/abs/a-primer-on-multi-neuron-relaxation-based-adversarial-robustness-certification-2106.03099</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-primer-on-multi-neuron-relaxation-based-adversarial-robustness-certification-2106.03099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-primer-on-multi-neuron-relaxation-based-adversarial-robustness-certification-2106.03099"/></url>
<url><loc>https://scifaro.com/en/abs/asymmetric-loss-functions-for-learning-with-noisy-labels-2106.03110</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymmetric-loss-functions-for-learning-with-noisy-labels-2106.03110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymmetric-loss-functions-for-learning-with-noisy-labels-2106.03110"/></url>
<url><loc>https://scifaro.com/en/abs/the-fine-grained-hardness-of-sparse-linear-regression-2106.03131</loc><lastmod>2022-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-fine-grained-hardness-of-sparse-linear-regression-2106.03131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-fine-grained-hardness-of-sparse-linear-regression-2106.03131"/></url>
<url><loc>https://scifaro.com/en/abs/pseudo-riemannian-graph-convolutional-networks-2106.03134</loc><lastmod>2022-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pseudo-riemannian-graph-convolutional-networks-2106.03134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pseudo-riemannian-graph-convolutional-networks-2106.03134"/></url>
<url><loc>https://scifaro.com/en/abs/a-physics-informed-deep-learning-paradigm-for-traffic-state-and-fundamental-diagram-estimation-2106.03142</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-physics-informed-deep-learning-paradigm-for-traffic-state-and-fundamental-diagram-estimation-2106.03142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-physics-informed-deep-learning-paradigm-for-traffic-state-and-fundamental-diagram-estimation-2106.03142"/></url>
<url><loc>https://scifaro.com/en/abs/cape-encoding-relative-positions-with-continuous-augmented-positional-embeddings-2106.03143</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cape-encoding-relative-positions-with-continuous-augmented-positional-embeddings-2106.03143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cape-encoding-relative-positions-with-continuous-augmented-positional-embeddings-2106.03143"/></url>
<url><loc>https://scifaro.com/en/abs/softdice-for-imitation-learning-rethinking-off-policy-distribution-matching-2106.03155</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/softdice-for-imitation-learning-rethinking-off-policy-distribution-matching-2106.03155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/softdice-for-imitation-learning-rethinking-off-policy-distribution-matching-2106.03155"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervision-is-all-you-need-for-solving-rubik-s-cube-2106.03157</loc><lastmod>2023-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervision-is-all-you-need-for-solving-rubik-s-cube-2106.03157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervision-is-all-you-need-for-solving-rubik-s-cube-2106.03157"/></url>
<url><loc>https://scifaro.com/en/abs/flexparser-the-adaptive-log-file-parser-for-continuous-results-in-a-changing-world-2106.03170</loc><lastmod>2022-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexparser-the-adaptive-log-file-parser-for-continuous-results-in-a-changing-world-2106.03170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexparser-the-adaptive-log-file-parser-for-continuous-results-in-a-changing-world-2106.03170"/></url>
<url><loc>https://scifaro.com/en/abs/reverse-engineering-the-neural-tangent-kernel-2106.03186</loc><lastmod>2022-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reverse-engineering-the-neural-tangent-kernel-2106.03186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reverse-engineering-the-neural-tangent-kernel-2106.03186"/></url>
<url><loc>https://scifaro.com/en/abs/robust-implicit-networks-via-non-euclidean-contractions-2106.03194</loc><lastmod>2022-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-implicit-networks-via-non-euclidean-contractions-2106.03194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-implicit-networks-via-non-euclidean-contractions-2106.03194"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-reliable-priors-in-the-function-space-2106.03195</loc><lastmod>2022-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-reliable-priors-in-the-function-space-2106.03195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-reliable-priors-in-the-function-space-2106.03195"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-covariate-shift-in-imitation-learning-via-offline-data-without-great-coverage-2106.03207</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-covariate-shift-in-imitation-learning-via-offline-data-without-great-coverage-2106.03207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-covariate-shift-in-imitation-learning-via-offline-data-without-great-coverage-2106.03207"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-classification-of-the-attacks-on-smart-grids-using-game-theory-and-deep-learning-2106.03209</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-classification-of-the-attacks-on-smart-grids-using-game-theory-and-deep-learning-2106.03209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-classification-of-the-attacks-on-smart-grids-using-game-theory-and-deep-learning-2106.03209"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-learning-and-its-application-for-time-series-prediction-2106.03211</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-learning-and-its-application-for-time-series-prediction-2106.03211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-learning-and-its-application-for-time-series-prediction-2106.03211"/></url>
<url><loc>https://scifaro.com/en/abs/on-local-aggregation-in-heterophilic-graphs-2106.03213</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-local-aggregation-in-heterophilic-graphs-2106.03213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-local-aggregation-in-heterophilic-graphs-2106.03213"/></url>
<url><loc>https://scifaro.com/en/abs/on-memorization-in-probabilistic-deep-generative-models-2106.03216</loc><lastmod>2021-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-memorization-in-probabilistic-deep-generative-models-2106.03216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-memorization-in-probabilistic-deep-generative-models-2106.03216"/></url>
<url><loc>https://scifaro.com/en/abs/pac-best-arm-identification-under-a-deadline-2106.03221</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-best-arm-identification-under-a-deadline-2106.03221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-best-arm-identification-under-a-deadline-2106.03221"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-lottery-ticket-finding-less-data-is-more-2106.03225</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-lottery-ticket-finding-less-data-is-more-2106.03225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-lottery-ticket-finding-less-data-is-more-2106.03225"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-reinforcement-learning-with-unconstrained-monotonic-neural-networks-2106.03228</loc><lastmod>2023-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-reinforcement-learning-with-unconstrained-monotonic-neural-networks-2106.03228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-reinforcement-learning-with-unconstrained-monotonic-neural-networks-2106.03228"/></url>
<url><loc>https://scifaro.com/en/abs/a-call-for-better-unit-testing-for-invariant-risk-minimisation-2106.03234</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-call-for-better-unit-testing-for-invariant-risk-minimisation-2106.03234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-call-for-better-unit-testing-for-invariant-risk-minimisation-2106.03234"/></url>
<url><loc>https://scifaro.com/en/abs/graph2graph-learning-with-conditional-autoregressive-models-2106.03236</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph2graph-learning-with-conditional-autoregressive-models-2106.03236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph2graph-learning-with-conditional-autoregressive-models-2106.03236"/></url>
<url><loc>https://scifaro.com/en/abs/neural-active-learning-with-performance-guarantees-2106.03243</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-active-learning-with-performance-guarantees-2106.03243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-active-learning-with-performance-guarantees-2106.03243"/></url>
<url><loc>https://scifaro.com/en/abs/tabular-data-deep-learning-is-not-all-you-need-2106.03253</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tabular-data-deep-learning-is-not-all-you-need-2106.03253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tabular-data-deep-learning-is-not-all-you-need-2106.03253"/></url>
<url><loc>https://scifaro.com/en/abs/understand-and-improve-contrastive-learning-methods-for-visual-representation-a-review-2106.03259</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understand-and-improve-contrastive-learning-methods-for-visual-representation-a-review-2106.03259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understand-and-improve-contrastive-learning-methods-for-visual-representation-a-review-2106.03259"/></url>
<url><loc>https://scifaro.com/en/abs/control-oriented-model-based-reinforcement-learning-with-implicit-differentiation-2106.03273</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/control-oriented-model-based-reinforcement-learning-with-implicit-differentiation-2106.03273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/control-oriented-model-based-reinforcement-learning-with-implicit-differentiation-2106.03273"/></url>
<url><loc>https://scifaro.com/en/abs/learning-mdps-from-features-predict-then-optimize-for-sequential-decision-problems-by-reinforcement-learning-2106.03279</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-mdps-from-features-predict-then-optimize-for-sequential-decision-problems-by-reinforcement-learning-2106.03279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-mdps-from-features-predict-then-optimize-for-sequential-decision-problems-by-reinforcement-learning-2106.03279"/></url>
<url><loc>https://scifaro.com/en/abs/sum-of-ranked-range-loss-for-supervised-learning-2106.03300</loc><lastmod>2022-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sum-of-ranked-range-loss-for-supervised-learning-2106.03300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sum-of-ranked-range-loss-for-supervised-learning-2106.03300"/></url>
<url><loc>https://scifaro.com/en/abs/horopca-hyperbolic-dimensionality-reduction-via-horospherical-projections-2106.03306</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/horopca-hyperbolic-dimensionality-reduction-via-horospherical-projections-2106.03306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/horopca-hyperbolic-dimensionality-reduction-via-horospherical-projections-2106.03306"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-knowledge-distillation-from-a-decision-based-black-box-model-2106.03310</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-knowledge-distillation-from-a-decision-based-black-box-model-2106.03310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-knowledge-distillation-from-a-decision-based-black-box-model-2106.03310"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-generalization-with-optimal-transport-2106.03314</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-generalization-with-optimal-transport-2106.03314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-generalization-with-optimal-transport-2106.03314"/></url>
<url><loc>https://scifaro.com/en/abs/securing-secure-aggregation-mitigating-multi-round-privacy-leakage-in-federated-learning-2106.03328</loc><lastmod>2023-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/securing-secure-aggregation-mitigating-multi-round-privacy-leakage-in-federated-learning-2106.03328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/securing-secure-aggregation-mitigating-multi-round-privacy-leakage-in-federated-learning-2106.03328"/></url>
<url><loc>https://scifaro.com/en/abs/instrument-space-selection-for-kernel-maximum-moment-restriction-2106.03340</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instrument-space-selection-for-kernel-maximum-moment-restriction-2106.03340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instrument-space-selection-for-kernel-maximum-moment-restriction-2106.03340"/></url>
<url><loc>https://scifaro.com/en/abs/energy-aligning-for-biased-models-2106.03343</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-aligning-for-biased-models-2106.03343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-aligning-for-biased-models-2106.03343"/></url>
<url><loc>https://scifaro.com/en/abs/continual-active-learning-for-efficient-adaptation-of-machine-learning-models-to-changing-image-acquisition-2106.03351</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-active-learning-for-efficient-adaptation-of-machine-learning-models-to-changing-image-acquisition-2106.03351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-active-learning-for-efficient-adaptation-of-machine-learning-models-to-changing-image-acquisition-2106.03351"/></url>
<url><loc>https://scifaro.com/en/abs/the-power-of-exploiter-provable-multi-agent-rl-in-large-state-spaces-2106.03352</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-power-of-exploiter-provable-multi-agent-rl-in-large-state-spaces-2106.03352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-power-of-exploiter-provable-multi-agent-rl-in-large-state-spaces-2106.03352"/></url>
<url><loc>https://scifaro.com/en/abs/ai-without-networks-2106.03354</loc><lastmod>2024-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ai-without-networks-2106.03354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ai-without-networks-2106.03354"/></url>
<url><loc>https://scifaro.com/en/abs/regmix-data-mixing-augmentation-for-regression-2106.03374</loc><lastmod>2022-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regmix-data-mixing-augmentation-for-regression-2106.03374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regmix-data-mixing-augmentation-for-regression-2106.03374"/></url>
<url><loc>https://scifaro.com/en/abs/commutative-lie-group-vae-for-disentanglement-learning-2106.03375</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/commutative-lie-group-vae-for-disentanglement-learning-2106.03375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/commutative-lie-group-vae-for-disentanglement-learning-2106.03375"/></url>
<url><loc>https://scifaro.com/en/abs/adversarially-regularized-graph-attention-networks-for-inductive-learning-on-partially-labeled-graphs-2106.03393</loc><lastmod>2023-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarially-regularized-graph-attention-networks-for-inductive-learning-on-partially-labeled-graphs-2106.03393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarially-regularized-graph-attention-networks-for-inductive-learning-on-partially-labeled-graphs-2106.03393"/></url>
<url><loc>https://scifaro.com/en/abs/antipodes-of-label-differential-privacy-pate-and-alibi-2106.03408</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/antipodes-of-label-differential-privacy-pate-and-alibi-2106.03408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/antipodes-of-label-differential-privacy-pate-and-alibi-2106.03408"/></url>
<url><loc>https://scifaro.com/en/abs/automation-for-interpretable-machine-learning-through-a-comparison-of-loss-functions-to-regularisers-2106.03428</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automation-for-interpretable-machine-learning-through-a-comparison-of-loss-functions-to-regularisers-2106.03428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automation-for-interpretable-machine-learning-through-a-comparison-of-loss-functions-to-regularisers-2106.03428"/></url>
<url><loc>https://scifaro.com/en/abs/average-reward-reinforcement-learning-with-trust-region-methods-2106.03442</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/average-reward-reinforcement-learning-with-trust-region-methods-2106.03442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/average-reward-reinforcement-learning-with-trust-region-methods-2106.03442"/></url>
<url><loc>https://scifaro.com/en/abs/causal-influence-detection-for-improving-efficiency-in-reinforcement-learning-2106.03443</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-influence-detection-for-improving-efficiency-in-reinforcement-learning-2106.03443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-influence-detection-for-improving-efficiency-in-reinforcement-learning-2106.03443"/></url>
<url><loc>https://scifaro.com/en/abs/learning-stable-reduced-order-models-for-hybrid-twins-2106.03464</loc><lastmod>2023-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-stable-reduced-order-models-for-hybrid-twins-2106.03464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-stable-reduced-order-models-for-hybrid-twins-2106.03464"/></url>
<url><loc>https://scifaro.com/en/abs/identifiability-in-inverse-reinforcement-learning-2106.03498</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiability-in-inverse-reinforcement-learning-2106.03498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiability-in-inverse-reinforcement-learning-2106.03498"/></url>
<url><loc>https://scifaro.com/en/abs/density-estimation-on-smooth-manifolds-with-normalizing-flows-2106.03500</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-estimation-on-smooth-manifolds-with-normalizing-flows-2106.03500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-estimation-on-smooth-manifolds-with-normalizing-flows-2106.03500"/></url>
<url><loc>https://scifaro.com/en/abs/top-kast-top-k-always-sparse-training-2106.03517</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/top-kast-top-k-always-sparse-training-2106.03517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/top-kast-top-k-always-sparse-training-2106.03517"/></url>
<url><loc>https://scifaro.com/en/abs/theoretically-better-and-numerically-faster-distributed-optimization-with-smoothness-aware-quantization-techniques-2106.03524</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretically-better-and-numerically-faster-distributed-optimization-with-smoothness-aware-quantization-techniques-2106.03524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretically-better-and-numerically-faster-distributed-optimization-with-smoothness-aware-quantization-techniques-2106.03524"/></url>
<url><loc>https://scifaro.com/en/abs/sizeflags-reducing-size-and-fit-related-returns-in-fashion-e-commerce-2106.03532</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sizeflags-reducing-size-and-fit-related-returns-in-fashion-e-commerce-2106.03532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sizeflags-reducing-size-and-fit-related-returns-in-fashion-e-commerce-2106.03532"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-in-network-neuroscience-2106.03535</loc><lastmod>2022-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-in-network-neuroscience-2106.03535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-in-network-neuroscience-2106.03535"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-to-rank-long-sequences-with-contextual-bandits-2106.03546</loc><lastmod>2022-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-to-rank-long-sequences-with-contextual-bandits-2106.03546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-to-rank-long-sequences-with-contextual-bandits-2106.03546"/></url>
<url><loc>https://scifaro.com/en/abs/learning-combinatorial-node-labeling-algorithms-2106.03594</loc><lastmod>2022-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-combinatorial-node-labeling-algorithms-2106.03594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-combinatorial-node-labeling-algorithms-2106.03594"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-bandit-feedback-in-online-multiclass-classification-2106.03596</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-bandit-feedback-in-online-multiclass-classification-2106.03596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-bandit-feedback-in-online-multiclass-classification-2106.03596"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-network-modeling-of-unknown-partial-differential-equations-in-nodal-space-2106.03603</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-modeling-of-unknown-partial-differential-equations-in-nodal-space-2106.03603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-modeling-of-unknown-partial-differential-equations-in-nodal-space-2106.03603"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-bayesian-optimisation-with-variational-autoencoders-and-deep-metric-learning-2106.03609</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-bayesian-optimisation-with-variational-autoencoders-and-deep-metric-learning-2106.03609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-bayesian-optimisation-with-variational-autoencoders-and-deep-metric-learning-2106.03609"/></url>
<url><loc>https://scifaro.com/en/abs/pcdgan-a-continuous-conditional-diverse-generative-adversarial-network-for-inverse-design-2106.03620</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pcdgan-a-continuous-conditional-diverse-generative-adversarial-network-for-inverse-design-2106.03620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pcdgan-a-continuous-conditional-diverse-generative-adversarial-network-for-inverse-design-2106.03620"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-and-improving-transferability-in-domain-generalization-2106.03632</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-and-improving-transferability-in-domain-generalization-2106.03632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-and-improving-transferability-in-domain-generalization-2106.03632"/></url>
<url><loc>https://scifaro.com/en/abs/deep-canonical-correlation-alignment-for-sensor-signals-2106.03637</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-canonical-correlation-alignment-for-sensor-signals-2106.03637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-canonical-correlation-alignment-for-sensor-signals-2106.03637"/></url>
<url><loc>https://scifaro.com/en/abs/snr-optimization-of-multi-span-fiber-optic-communication-systems-employing-edfas-with-non-flat-gain-and-noise-figure-2106.03639</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/snr-optimization-of-multi-span-fiber-optic-communication-systems-employing-edfas-with-non-flat-gain-and-noise-figure-2106.03639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/snr-optimization-of-multi-span-fiber-optic-communication-systems-employing-edfas-with-non-flat-gain-and-noise-figure-2106.03639"/></url>
<url><loc>https://scifaro.com/en/abs/making-efficientnet-more-efficient-exploring-batch-independent-normalization-group-convolutions-and-reduced-resolution-training-2106.03640</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-efficientnet-more-efficient-exploring-batch-independent-normalization-group-convolutions-and-reduced-resolution-training-2106.03640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-efficientnet-more-efficient-exploring-batch-independent-normalization-group-convolutions-and-reduced-resolution-training-2106.03640"/></url>
<url><loc>https://scifaro.com/en/abs/photonic-differential-privacy-with-direct-feedback-alignment-2106.03645</loc><lastmod>2022-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/photonic-differential-privacy-with-direct-feedback-alignment-2106.03645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/photonic-differential-privacy-with-direct-feedback-alignment-2106.03645"/></url>
<url><loc>https://scifaro.com/en/abs/learning-by-transference-training-graph-neural-networks-on-growing-graphs-2106.03693</loc><lastmod>2022-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-by-transference-training-graph-neural-networks-on-growing-graphs-2106.03693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-by-transference-training-graph-neural-networks-on-growing-graphs-2106.03693"/></url>
<url><loc>https://scifaro.com/en/abs/formalizing-distribution-inference-risks-2106.03699</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/formalizing-distribution-inference-risks-2106.03699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/formalizing-distribution-inference-risks-2106.03699"/></url>
<url><loc>https://scifaro.com/en/abs/ood-bench-quantifying-and-understanding-two-dimensions-of-out-of-distribution-generalization-2106.03721</loc><lastmod>2022-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ood-bench-quantifying-and-understanding-two-dimensions-of-out-of-distribution-generalization-2106.03721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ood-bench-quantifying-and-understanding-two-dimensions-of-out-of-distribution-generalization-2106.03721"/></url>
<url><loc>https://scifaro.com/en/abs/error-loss-networks-2106.03722</loc><lastmod>2022-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-loss-networks-2106.03722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-loss-networks-2106.03722"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-graph-learning-with-proximity-based-views-and-channel-contrast-2106.03723</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-graph-learning-with-proximity-based-views-and-channel-contrast-2106.03723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-graph-learning-with-proximity-based-views-and-channel-contrast-2106.03723"/></url>
<url><loc>https://scifaro.com/en/abs/stability-to-deformations-of-manifold-filters-and-manifold-neural-networks-2106.03725</loc><lastmod>2024-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-to-deformations-of-manifold-filters-and-manifold-neural-networks-2106.03725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-to-deformations-of-manifold-filters-and-manifold-neural-networks-2106.03725"/></url>
<url><loc>https://scifaro.com/en/abs/proxy-normalizing-activations-to-match-batch-normalization-while-removing-batch-dependence-2106.03743</loc><lastmod>2022-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proxy-normalizing-activations-to-match-batch-normalization-while-removing-batch-dependence-2106.03743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proxy-normalizing-activations-to-match-batch-normalization-while-removing-batch-dependence-2106.03743"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-and-domain-agnostic-reinforcement-learning-competitions-2106.03748</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-and-domain-agnostic-reinforcement-learning-competitions-2106.03748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-and-domain-agnostic-reinforcement-learning-competitions-2106.03748"/></url>
<url><loc>https://scifaro.com/en/abs/dselect-k-differentiable-selection-in-the-mixture-of-experts-with-applications-to-multi-task-learning-2106.03760</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dselect-k-differentiable-selection-in-the-mixture-of-experts-with-applications-to-multi-task-learning-2106.03760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dselect-k-differentiable-selection-in-the-mixture-of-experts-with-applications-to-multi-task-learning-2106.03760"/></url>
<url><loc>https://scifaro.com/en/abs/vanishing-curvature-and-the-power-of-adaptive-methods-in-randomly-initialized-deep-networks-2106.03763</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vanishing-curvature-and-the-power-of-adaptive-methods-in-randomly-initialized-deep-networks-2106.03763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vanishing-curvature-and-the-power-of-adaptive-methods-in-randomly-initialized-deep-networks-2106.03763"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-expressive-power-of-self-attention-matrices-2106.03764</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-expressive-power-of-self-attention-matrices-2106.03764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-expressive-power-of-self-attention-matrices-2106.03764"/></url>
<url><loc>https://scifaro.com/en/abs/learning-stochastic-optimal-policies-via-gradient-descent-2106.03780</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-stochastic-optimal-policies-via-gradient-descent-2106.03780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-stochastic-optimal-policies-via-gradient-descent-2106.03780"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-theoretic-approach-to-distribution-shifts-2106.03783</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-theoretic-approach-to-distribution-shifts-2106.03783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-theoretic-approach-to-distribution-shifts-2106.03783"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-networks-a-survey-towards-private-and-secure-applications-2106.03785</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-networks-a-survey-towards-private-and-secure-applications-2106.03785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-networks-a-survey-towards-private-and-secure-applications-2106.03785"/></url>
<url><loc>https://scifaro.com/en/abs/concave-utility-reinforcement-learning-the-mean-field-game-viewpoint-2106.03787</loc><lastmod>2022-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concave-utility-reinforcement-learning-the-mean-field-game-viewpoint-2106.03787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concave-utility-reinforcement-learning-the-mean-field-game-viewpoint-2106.03787"/></url>
<url><loc>https://scifaro.com/en/abs/multi-armed-bandit-requiring-monotone-arm-sequences-2106.03790</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-armed-bandit-requiring-monotone-arm-sequences-2106.03790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-armed-bandit-requiring-monotone-arm-sequences-2106.03790"/></url>
<url><loc>https://scifaro.com/en/abs/enabling-on-device-self-supervised-contrastive-learning-with-selective-data-contrast-2106.03796</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enabling-on-device-self-supervised-contrastive-learning-with-selective-data-contrast-2106.03796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enabling-on-device-self-supervised-contrastive-learning-with-selective-data-contrast-2106.03796"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-efficiently-sample-from-diffusion-probabilistic-models-2106.03802</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-efficiently-sample-from-diffusion-probabilistic-models-2106.03802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-efficiently-sample-from-diffusion-probabilistic-models-2106.03802"/></url>
<url><loc>https://scifaro.com/en/abs/neural-monge-map-estimation-and-its-applications-2106.03812</loc><lastmod>2022-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-monge-map-estimation-and-its-applications-2106.03812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-monge-map-estimation-and-its-applications-2106.03812"/></url>
<url><loc>https://scifaro.com/en/abs/stateful-strategic-regression-2106.03827</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stateful-strategic-regression-2106.03827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stateful-strategic-regression-2106.03827"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-maximum-likelihood-estimation-for-training-deep-networks-2106.03831</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-maximum-likelihood-estimation-for-training-deep-networks-2106.03831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-maximum-likelihood-estimation-for-training-deep-networks-2106.03831"/></url>
<url><loc>https://scifaro.com/en/abs/learning-without-knowing-unobserved-context-in-continuous-transfer-reinforcement-learning-2106.03833</loc><lastmod>2021-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-without-knowing-unobserved-context-in-continuous-transfer-reinforcement-learning-2106.03833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-without-knowing-unobserved-context-in-continuous-transfer-reinforcement-learning-2106.03833"/></url>
<url><loc>https://scifaro.com/en/abs/memstream-memory-based-streaming-anomaly-detection-2106.03837</loc><lastmod>2022-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memstream-memory-based-streaming-anomaly-detection-2106.03837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memstream-memory-based-streaming-anomaly-detection-2106.03837"/></url>
<url><loc>https://scifaro.com/en/abs/equivariant-graph-neural-networks-for-3d-macromolecular-structure-2106.03843</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivariant-graph-neural-networks-for-3d-macromolecular-structure-2106.03843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivariant-graph-neural-networks-for-3d-macromolecular-structure-2106.03843"/></url>
<url><loc>https://scifaro.com/en/abs/gan-cocktail-mixing-gans-without-dataset-access-2106.03847</loc><lastmod>2023-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gan-cocktail-mixing-gans-without-dataset-access-2106.03847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gan-cocktail-mixing-gans-without-dataset-access-2106.03847"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-hierarchical-learning-based-network-traffic-analytics-2106.03850</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-hierarchical-learning-based-network-traffic-analytics-2106.03850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-hierarchical-learning-based-network-traffic-analytics-2106.03850"/></url>
<url><loc>https://scifaro.com/en/abs/distop-discovering-a-topological-representation-to-learn-diverse-and-rewarding-skills-2106.03853</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distop-discovering-a-topological-representation-to-learn-diverse-and-rewarding-skills-2106.03853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distop-discovering-a-topological-representation-to-learn-diverse-and-rewarding-skills-2106.03853"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-multiple-shooting-layers-2106.03885</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-multiple-shooting-layers-2106.03885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-multiple-shooting-layers-2106.03885"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-graph-transformers-with-spectral-attention-2106.03893</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-graph-transformers-with-spectral-attention-2106.03893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-graph-transformers-with-spectral-attention-2106.03893"/></url>
<url><loc>https://scifaro.com/en/abs/when-in-doubt-neural-non-parametric-uncertainty-quantification-for-epidemic-forecasting-2106.03904</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-in-doubt-neural-non-parametric-uncertainty-quantification-for-epidemic-forecasting-2106.03904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-in-doubt-neural-non-parametric-uncertainty-quantification-for-epidemic-forecasting-2106.03904"/></url>
<url><loc>https://scifaro.com/en/abs/deep-proxy-causal-learning-and-its-application-to-confounded-bandit-policy-evaluation-2106.03907</loc><lastmod>2024-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-proxy-causal-learning-and-its-application-to-confounded-bandit-policy-evaluation-2106.03907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-proxy-causal-learning-and-its-application-to-confounded-bandit-policy-evaluation-2106.03907"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-outlier-exposure-towards-out-of-distribution-detection-in-fine-grained-environments-2106.03917</loc><lastmod>2022-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-outlier-exposure-towards-out-of-distribution-detection-in-fine-grained-environments-2106.03917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-outlier-exposure-towards-out-of-distribution-detection-in-fine-grained-environments-2106.03917"/></url>
<url><loc>https://scifaro.com/en/abs/interactive-label-cleaning-with-example-based-explanations-2106.03922</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interactive-label-cleaning-with-example-based-explanations-2106.03922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interactive-label-cleaning-with-example-based-explanations-2106.03922"/></url>
<url><loc>https://scifaro.com/en/abs/entropy-regularized-reinforcement-learning-using-large-deviation-theory-2106.03931</loc><lastmod>2023-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropy-regularized-reinforcement-learning-using-large-deviation-theory-2106.03931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropy-regularized-reinforcement-learning-using-large-deviation-theory-2106.03931"/></url>
<url><loc>https://scifaro.com/en/abs/offline-policy-comparison-under-limited-historical-agent-environment-interactions-2106.03934</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-policy-comparison-under-limited-historical-agent-environment-interactions-2106.03934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-policy-comparison-under-limited-historical-agent-environment-interactions-2106.03934"/></url>
<url><loc>https://scifaro.com/en/abs/tengrad-time-efficient-natural-gradient-descent-with-exact-fisher-block-inversion-2106.03947</loc><lastmod>2022-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tengrad-time-efficient-natural-gradient-descent-with-exact-fisher-block-inversion-2106.03947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tengrad-time-efficient-natural-gradient-descent-with-exact-fisher-block-inversion-2106.03947"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-meta-feature-selection-for-the-algorithm-recommendation-problem-2106.03954</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-meta-feature-selection-for-the-algorithm-recommendation-problem-2106.03954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-meta-feature-selection-for-the-algorithm-recommendation-problem-2106.03954"/></url>
<url><loc>https://scifaro.com/en/abs/correcting-momentum-in-temporal-difference-learning-2106.03955</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correcting-momentum-in-temporal-difference-learning-2106.03955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correcting-momentum-in-temporal-difference-learning-2106.03955"/></url>
<url><loc>https://scifaro.com/en/abs/generative-flows-with-invertible-attentions-2106.03959</loc><lastmod>2022-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-flows-with-invertible-attentions-2106.03959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-flows-with-invertible-attentions-2106.03959"/></url>
<url><loc>https://scifaro.com/en/abs/amortized-generation-of-sequential-algorithmic-recourses-for-black-box-models-2106.03962</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortized-generation-of-sequential-algorithmic-recourses-for-black-box-models-2106.03962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortized-generation-of-sequential-algorithmic-recourses-for-black-box-models-2106.03962"/></url>
<url><loc>https://scifaro.com/en/abs/chow-liu-optimal-prediction-centric-learning-of-tree-ising-models-2106.03969</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chow-liu-optimal-prediction-centric-learning-of-tree-ising-models-2106.03969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chow-liu-optimal-prediction-centric-learning-of-tree-ising-models-2106.03969"/></url>
<url><loc>https://scifaro.com/en/abs/lessons-learned-developing-and-using-a-machine-learning-model-to-automatically-transcribe-2-3-million-handwritten-occupation-codes-2106.03996</loc><lastmod>2022-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lessons-learned-developing-and-using-a-machine-learning-model-to-automatically-transcribe-2-3-million-handwritten-occupation-codes-2106.03996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lessons-learned-developing-and-using-a-machine-learning-model-to-automatically-transcribe-2-3-million-handwritten-occupation-codes-2106.03996"/></url>
<url><loc>https://scifaro.com/en/abs/double-descent-and-other-interpolation-phenomena-in-gans-2106.04003</loc><lastmod>2024-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/double-descent-and-other-interpolation-phenomena-in-gans-2106.04003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/double-descent-and-other-interpolation-phenomena-in-gans-2106.04003"/></url>
<url><loc>https://scifaro.com/en/abs/widening-access-to-applied-machine-learning-with-tinyml-2106.04008</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/widening-access-to-applied-machine-learning-with-tinyml-2106.04008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/widening-access-to-applied-machine-learning-with-tinyml-2106.04008"/></url>
<url><loc>https://scifaro.com/en/abs/rotating-spiders-and-reflecting-dogs-a-class-conditional-approach-to-learning-data-augmentation-distributions-2106.04009</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rotating-spiders-and-reflecting-dogs-a-class-conditional-approach-to-learning-data-augmentation-distributions-2106.04009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rotating-spiders-and-reflecting-dogs-a-class-conditional-approach-to-learning-data-augmentation-distributions-2106.04009"/></url>
<url><loc>https://scifaro.com/en/abs/fear-a-simple-lightweight-method-to-rank-architectures-2106.04010</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fear-a-simple-lightweight-method-to-rank-architectures-2106.04010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fear-a-simple-lightweight-method-to-rank-architectures-2106.04010"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-baselines-benchmarks-for-uncertainty-robustness-in-deep-learning-2106.04015</loc><lastmod>2022-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-baselines-benchmarks-for-uncertainty-robustness-in-deep-learning-2106.04015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-baselines-benchmarks-for-uncertainty-robustness-in-deep-learning-2106.04015"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-method-based-on-narx-models-and-machine-learning-for-pattern-recognition-2106.04021</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-method-based-on-narx-models-and-machine-learning-for-pattern-recognition-2106.04021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-method-based-on-narx-models-and-machine-learning-for-pattern-recognition-2106.04021"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-topology-divergence-a-framework-for-comparing-data-manifolds-2106.04024</loc><lastmod>2023-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-topology-divergence-a-framework-for-comparing-data-manifolds-2106.04024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-topology-divergence-a-framework-for-comparing-data-manifolds-2106.04024"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-statistical-arbitrage-2106.04028</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-statistical-arbitrage-2106.04028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-statistical-arbitrage-2106.04028"/></url>
<url><loc>https://scifaro.com/en/abs/graph-mlp-node-classification-without-message-passing-in-graph-2106.04051</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-mlp-node-classification-without-message-passing-in-graph-2106.04051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-mlp-node-classification-without-message-passing-in-graph-2106.04051"/></url>
<url><loc>https://scifaro.com/en/abs/a-lightweight-and-gradient-stable-neural-layer-2106.04088</loc><lastmod>2024-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-lightweight-and-gradient-stable-neural-layer-2106.04088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-lightweight-and-gradient-stable-neural-layer-2106.04088"/></url>
<url><loc>https://scifaro.com/en/abs/linear-convergence-of-entropy-regularized-natural-policy-gradient-with-linear-function-approximation-2106.04096</loc><lastmod>2026-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-convergence-of-entropy-regularized-natural-policy-gradient-with-linear-function-approximation-2106.04096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-convergence-of-entropy-regularized-natural-policy-gradient-with-linear-function-approximation-2106.04096"/></url>
<url><loc>https://scifaro.com/en/abs/a-self-consistent-theory-of-gaussian-processes-captures-feature-learning-effects-in-finite-cnns-2106.04110</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-self-consistent-theory-of-gaussian-processes-captures-feature-learning-effects-in-finite-cnns-2106.04110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-self-consistent-theory-of-gaussian-processes-captures-feature-learning-effects-in-finite-cnns-2106.04110"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-graph-level-representation-learning-with-local-and-global-structure-2106.04113</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-graph-level-representation-learning-with-local-and-global-structure-2106.04113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-graph-level-representation-learning-with-local-and-global-structure-2106.04113"/></url>
<url><loc>https://scifaro.com/en/abs/theoretically-motivated-data-augmentation-and-regularization-for-portfolio-construction-2106.04114</loc><lastmod>2022-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretically-motivated-data-augmentation-and-regularization-for-portfolio-construction-2106.04114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretically-motivated-data-augmentation-and-regularization-for-portfolio-construction-2106.04114"/></url>
<url><loc>https://scifaro.com/en/abs/the-best-of-both-worlds-stochastic-and-adversarial-episodic-mdps-with-unknown-transition-2106.04117</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-best-of-both-worlds-stochastic-and-adversarial-episodic-mdps-with-unknown-transition-2106.04117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-best-of-both-worlds-stochastic-and-adversarial-episodic-mdps-with-unknown-transition-2106.04117"/></url>
<url><loc>https://scifaro.com/en/abs/recowns-probabilistic-circuits-for-trustworthy-time-series-forecasting-2106.04148</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recowns-probabilistic-circuits-for-trustworthy-time-series-forecasting-2106.04148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recowns-probabilistic-circuits-for-trustworthy-time-series-forecasting-2106.04148"/></url>
<url><loc>https://scifaro.com/en/abs/to-smooth-or-not-when-label-smoothing-meets-noisy-labels-2106.04149</loc><lastmod>2022-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-smooth-or-not-when-label-smoothing-meets-noisy-labels-2106.04149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-smooth-or-not-when-label-smoothing-meets-noisy-labels-2106.04149"/></url>
<url><loc>https://scifaro.com/en/abs/playvirtual-augmenting-cycle-consistent-virtual-trajectories-for-reinforcement-learning-2106.04152</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/playvirtual-augmenting-cycle-consistent-virtual-trajectories-for-reinforcement-learning-2106.04152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/playvirtual-augmenting-cycle-consistent-virtual-trajectories-for-reinforcement-learning-2106.04152"/></url>
<url><loc>https://scifaro.com/en/abs/provable-guarantees-for-self-supervised-deep-learning-with-spectral-contrastive-loss-2106.04156</loc><lastmod>2022-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-guarantees-for-self-supervised-deep-learning-with-spectral-contrastive-loss-2106.04156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-guarantees-for-self-supervised-deep-learning-with-spectral-contrastive-loss-2106.04156"/></url>
<url><loc>https://scifaro.com/en/abs/fast-federated-learning-in-the-presence-of-arbitrary-device-unavailability-2106.04159</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-federated-learning-in-the-presence-of-arbitrary-device-unavailability-2106.04159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-federated-learning-in-the-presence-of-arbitrary-device-unavailability-2106.04159"/></url>
<url><loc>https://scifaro.com/en/abs/neural-hybrid-automata-learning-dynamics-with-multiple-modes-and-stochastic-transitions-2106.04165</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-hybrid-automata-learning-dynamics-with-multiple-modes-and-stochastic-transitions-2106.04165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-hybrid-automata-learning-dynamics-with-multiple-modes-and-stochastic-transitions-2106.04165"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-node-with-pre-trained-neural-differential-operator-for-learning-dynamics-2106.04166</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-node-with-pre-trained-neural-differential-operator-for-learning-dynamics-2106.04166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-node-with-pre-trained-neural-differential-operator-for-learning-dynamics-2106.04166"/></url>
<url><loc>https://scifaro.com/en/abs/the-randomness-of-input-data-spaces-is-an-a-priori-predictor-for-generalization-2106.04181</loc><lastmod>2022-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-randomness-of-input-data-spaces-is-an-a-priori-predictor-for-generalization-2106.04181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-randomness-of-input-data-spaces-is-an-a-priori-predictor-for-generalization-2106.04181"/></url>
<url><loc>https://scifaro.com/en/abs/what-training-reveals-about-neural-network-complexity-2106.04186</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-training-reveals-about-neural-network-complexity-2106.04186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-training-reveals-about-neural-network-complexity-2106.04186"/></url>
<url><loc>https://scifaro.com/en/abs/stability-and-generalization-of-bilevel-programming-in-hyperparameter-optimization-2106.04188</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-and-generalization-of-bilevel-programming-in-hyperparameter-optimization-2106.04188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-and-generalization-of-bilevel-programming-in-hyperparameter-optimization-2106.04188"/></url>
<url><loc>https://scifaro.com/en/abs/cooperative-stochastic-multi-agent-multi-armed-bandits-robust-to-adversarial-corruptions-2106.04207</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cooperative-stochastic-multi-agent-multi-armed-bandits-robust-to-adversarial-corruptions-2106.04207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cooperative-stochastic-multi-agent-multi-armed-bandits-robust-to-adversarial-corruptions-2106.04207"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-sparse-training-for-deep-reinforcement-learning-2106.04217</loc><lastmod>2022-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-sparse-training-for-deep-reinforcement-learning-2106.04217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-sparse-training-for-deep-reinforcement-learning-2106.04217"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-imputation-of-temporally-occluded-multiagent-trajectories-2106.04219</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-imputation-of-temporally-occluded-multiagent-trajectories-2106.04219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-imputation-of-temporally-occluded-multiagent-trajectories-2106.04219"/></url>
<url><loc>https://scifaro.com/en/abs/multi-output-gaussian-processes-for-uncertainty-aware-recommender-systems-2106.04221</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-output-gaussian-processes-for-uncertainty-aware-recommender-systems-2106.04221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-output-gaussian-processes-for-uncertainty-aware-recommender-systems-2106.04221"/></url>
<url><loc>https://scifaro.com/en/abs/the-medkit-learn-ing-environment-medical-decision-modelling-through-simulation-2106.04240</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-medkit-learn-ing-environment-medical-decision-modelling-through-simulation-2106.04240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-medkit-learn-ing-environment-medical-decision-modelling-through-simulation-2106.04240"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-inference-with-bifurcation-diagrams-2106.04243</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-inference-with-bifurcation-diagrams-2106.04243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-inference-with-bifurcation-diagrams-2106.04243"/></url>
<url><loc>https://scifaro.com/en/abs/coresets-for-classification-simplified-and-strengthened-2106.04254</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coresets-for-classification-simplified-and-strengthened-2106.04254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coresets-for-classification-simplified-and-strengthened-2106.04254"/></url>
<url><loc>https://scifaro.com/en/abs/provably-robust-detection-of-out-of-distribution-data-almost-for-free-2106.04260</loc><lastmod>2022-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-robust-detection-of-out-of-distribution-data-almost-for-free-2106.04260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-robust-detection-of-out-of-distribution-data-almost-for-free-2106.04260"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-machine-learning-with-plausible-deniability-2106.04267</loc><lastmod>2022-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-machine-learning-with-plausible-deniability-2106.04267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-machine-learning-with-plausible-deniability-2106.04267"/></url>
<url><loc>https://scifaro.com/en/abs/staircase-attention-for-recurrent-processing-of-sequences-2106.04279</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/staircase-attention-for-recurrent-processing-of-sequences-2106.04279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/staircase-attention-for-recurrent-processing-of-sequences-2106.04279"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-the-limits-of-message-passing-graph-neural-networks-2106.04319</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-the-limits-of-message-passing-graph-neural-networks-2106.04319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-the-limits-of-message-passing-graph-neural-networks-2106.04319"/></url>
<url><loc>https://scifaro.com/en/abs/reinforced-few-shot-acquisition-function-learning-for-bayesian-optimization-2106.04335</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforced-few-shot-acquisition-function-learning-for-bayesian-optimization-2106.04335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforced-few-shot-acquisition-function-learning-for-bayesian-optimization-2106.04335"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-online-learning-for-dynamic-k-clustering-2106.04336</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-online-learning-for-dynamic-k-clustering-2106.04336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-online-learning-for-dynamic-k-clustering-2106.04336"/></url>
<url><loc>https://scifaro.com/en/abs/nonsmooth-implicit-differentiation-for-machine-learning-and-optimization-2106.04350</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonsmooth-implicit-differentiation-for-machine-learning-and-optimization-2106.04350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonsmooth-implicit-differentiation-for-machine-learning-and-optimization-2106.04350"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-machine-unlearning-2106.04378</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-machine-unlearning-2106.04378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-machine-unlearning-2106.04378"/></url>
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<url><loc>https://scifaro.com/en/abs/fl-market-trading-private-models-in-federated-learning-2106.04384</loc><lastmod>2023-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fl-market-trading-private-models-in-federated-learning-2106.04384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fl-market-trading-private-models-in-federated-learning-2106.04384"/></url>
<url><loc>https://scifaro.com/en/abs/signal-transformer-complex-valued-attention-and-meta-learning-for-signal-recognition-2106.04392</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signal-transformer-complex-valued-attention-and-meta-learning-for-signal-recognition-2106.04392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signal-transformer-complex-valued-attention-and-meta-learning-for-signal-recognition-2106.04392"/></url>
<url><loc>https://scifaro.com/en/abs/flow-network-based-generative-models-for-non-iterative-diverse-candidate-generation-2106.04399</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flow-network-based-generative-models-for-non-iterative-diverse-candidate-generation-2106.04399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flow-network-based-generative-models-for-non-iterative-diverse-candidate-generation-2106.04399"/></url>
<url><loc>https://scifaro.com/en/abs/back2future-leveraging-backfill-dynamics-for-improving-real-time-predictions-in-future-2106.04420</loc><lastmod>2022-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/back2future-leveraging-backfill-dynamics-for-improving-real-time-predictions-in-future-2106.04420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/back2future-leveraging-backfill-dynamics-for-improving-real-time-predictions-in-future-2106.04420"/></url>
<url><loc>https://scifaro.com/en/abs/hash-layers-for-large-sparse-models-2106.04426</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hash-layers-for-large-sparse-models-2106.04426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hash-layers-for-large-sparse-models-2106.04426"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-robustness-of-neural-networks-through-fourier-stabilization-2106.04435</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-robustness-of-neural-networks-through-fourier-stabilization-2106.04435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-robustness-of-neural-networks-through-fourier-stabilization-2106.04435"/></url>
<url><loc>https://scifaro.com/en/abs/robust-generalization-despite-distribution-shift-via-minimum-discriminating-information-2106.04443</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-generalization-despite-distribution-shift-via-minimum-discriminating-information-2106.04443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-generalization-despite-distribution-shift-via-minimum-discriminating-information-2106.04443"/></url>
<url><loc>https://scifaro.com/en/abs/muddling-label-regularization-deep-learning-for-tabular-datasets-2106.04462</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/muddling-label-regularization-deep-learning-for-tabular-datasets-2106.04462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/muddling-label-regularization-deep-learning-for-tabular-datasets-2106.04462"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-anomalous-event-sequences-with-temporal-point-processes-2106.04465</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-anomalous-event-sequences-with-temporal-point-processes-2106.04465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-anomalous-event-sequences-with-temporal-point-processes-2106.04465"/></url>
<url><loc>https://scifaro.com/en/abs/there-is-no-turning-back-a-self-supervised-approach-for-reversibility-aware-reinforcement-learning-2106.04480</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/there-is-no-turning-back-a-self-supervised-approach-for-reversibility-aware-reinforcement-learning-2106.04480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/there-is-no-turning-back-a-self-supervised-approach-for-reversibility-aware-reinforcement-learning-2106.04480"/></url>
<url><loc>https://scifaro.com/en/abs/the-fast-kernel-transform-2106.04487</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-fast-kernel-transform-2106.04487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-fast-kernel-transform-2106.04487"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-value-network-based-approach-for-multi-driver-order-dispatching-2106.04493</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-value-network-based-approach-for-multi-driver-order-dispatching-2106.04493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-value-network-based-approach-for-multi-driver-order-dispatching-2106.04493"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-theoretical-framework-of-out-of-distribution-generalization-2106.04496</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-theoretical-framework-of-out-of-distribution-generalization-2106.04496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-theoretical-framework-of-out-of-distribution-generalization-2106.04496"/></url>
<url><loc>https://scifaro.com/en/abs/towards-practical-credit-assignment-for-deep-reinforcement-learning-2106.04499</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-practical-credit-assignment-for-deep-reinforcement-learning-2106.04499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-practical-credit-assignment-for-deep-reinforcement-learning-2106.04499"/></url>
<url><loc>https://scifaro.com/en/abs/federated-hyperparameter-tuning-challenges-baselines-and-connections-to-weight-sharing-2106.04502</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-hyperparameter-tuning-challenges-baselines-and-connections-to-weight-sharing-2106.04502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-hyperparameter-tuning-challenges-baselines-and-connections-to-weight-sharing-2106.04502"/></url>
<url><loc>https://scifaro.com/en/abs/a-critical-look-at-the-current-train-test-split-in-machine-learning-2106.04525</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-critical-look-at-the-current-train-test-split-in-machine-learning-2106.04525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-critical-look-at-the-current-train-test-split-in-machine-learning-2106.04525"/></url>
<url><loc>https://scifaro.com/en/abs/laplacenet-a-hybrid-graph-energy-neural-network-for-deep-semi-supervised-classification-2106.04527</loc><lastmod>2022-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/laplacenet-a-hybrid-graph-energy-neural-network-for-deep-semi-supervised-classification-2106.04527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/laplacenet-a-hybrid-graph-energy-neural-network-for-deep-semi-supervised-classification-2106.04527"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-multiple-noisy-partial-labelers-2106.04530</loc><lastmod>2022-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-multiple-noisy-partial-labelers-2106.04530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-multiple-noisy-partial-labelers-2106.04530"/></url>
<url><loc>https://scifaro.com/en/abs/can-you-learn-an-algorithm-generalizing-from-easy-to-hard-problems-with-recurrent-networks-2106.04537</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-you-learn-an-algorithm-generalizing-from-easy-to-hard-problems-with-recurrent-networks-2106.04537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-you-learn-an-algorithm-generalizing-from-easy-to-hard-problems-with-recurrent-networks-2106.04537"/></url>
<url><loc>https://scifaro.com/en/abs/what-makes-multi-modal-learning-better-than-single-provably-2106.04538</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-makes-multi-modal-learning-better-than-single-provably-2106.04538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-makes-multi-modal-learning-better-than-single-provably-2106.04538"/></url>
<url><loc>https://scifaro.com/en/abs/leads-learning-dynamical-systems-that-generalize-across-environments-2106.04546</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leads-learning-dynamical-systems-that-generalize-across-environments-2106.04546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leads-learning-dynamical-systems-that-generalize-across-environments-2106.04546"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-generation-of-machine-learning-synthetic-data-using-ros-2106.04547</loc><lastmod>2021-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-generation-of-machine-learning-synthetic-data-using-ros-2106.04547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-generation-of-machine-learning-synthetic-data-using-ros-2106.04547"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-transformers-2106.04554</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-transformers-2106.04554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-transformers-2106.04554"/></url>
<url><loc>https://scifaro.com/en/abs/bert-learns-to-teach-knowledge-distillation-with-meta-learning-2106.04570</loc><lastmod>2022-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bert-learns-to-teach-knowledge-distillation-with-meta-learning-2106.04570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bert-learns-to-teach-knowledge-distillation-with-meta-learning-2106.04570"/></url>
<url><loc>https://scifaro.com/en/abs/pearl-data-synthesis-via-private-embeddings-and-adversarial-reconstruction-learning-2106.04590</loc><lastmod>2022-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pearl-data-synthesis-via-private-embeddings-and-adversarial-reconstruction-learning-2106.04590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pearl-data-synthesis-via-private-embeddings-and-adversarial-reconstruction-learning-2106.04590"/></url>
<url><loc>https://scifaro.com/en/abs/vector-quantized-models-for-planning-2106.04615</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vector-quantized-models-for-planning-2106.04615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vector-quantized-models-for-planning-2106.04615"/></url>
<url><loc>https://scifaro.com/en/abs/expobench-benchmarking-surrogate-based-optimisation-algorithms-on-expensive-black-box-functions-2106.04618</loc><lastmod>2024-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expobench-benchmarking-surrogate-based-optimisation-algorithms-on-expensive-black-box-functions-2106.04618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expobench-benchmarking-surrogate-based-optimisation-algorithms-on-expensive-black-box-functions-2106.04618"/></url>
<url><loc>https://scifaro.com/en/abs/densely-connected-normalizing-flows-2106.04627</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/densely-connected-normalizing-flows-2106.04627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/densely-connected-normalizing-flows-2106.04627"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-instance-wise-classification-in-correlated-feature-spaces-2106.04668</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-instance-wise-classification-in-correlated-feature-spaces-2106.04668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-instance-wise-classification-in-correlated-feature-spaces-2106.04668"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-over-hybrid-spaces-2106.04682</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-over-hybrid-spaces-2106.04682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-over-hybrid-spaces-2106.04682"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-ai-for-medical-imaging-explaining-pneumothorax-diagnoses-with-bayesian-teaching-2106.04684</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-ai-for-medical-imaging-explaining-pneumothorax-diagnoses-with-bayesian-teaching-2106.04684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-ai-for-medical-imaging-explaining-pneumothorax-diagnoses-with-bayesian-teaching-2106.04684"/></url>
<url><loc>https://scifaro.com/en/abs/provably-faster-algorithms-for-bilevel-optimization-2106.04692</loc><lastmod>2021-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-faster-algorithms-for-bilevel-optimization-2106.04692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-faster-algorithms-for-bilevel-optimization-2106.04692"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-evolution-of-neuron-communities-in-a-deep-learning-architecture-2106.04693</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-evolution-of-neuron-communities-in-a-deep-learning-architecture-2106.04693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-evolution-of-neuron-communities-in-a-deep-learning-architecture-2106.04693"/></url>
<url><loc>https://scifaro.com/en/abs/curriculum-design-for-teaching-via-demonstrations-theory-and-applications-2106.04696</loc><lastmod>2021-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curriculum-design-for-teaching-via-demonstrations-theory-and-applications-2106.04696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curriculum-design-for-teaching-via-demonstrations-theory-and-applications-2106.04696"/></url>
<url><loc>https://scifaro.com/en/abs/scale-free-adversarial-multi-armed-bandits-2106.04700</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scale-free-adversarial-multi-armed-bandits-2106.04700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scale-free-adversarial-multi-armed-bandits-2106.04700"/></url>
<url><loc>https://scifaro.com/en/abs/nrgnn-learning-a-label-noise-resistant-graph-neural-network-on-sparsely-and-noisily-labeled-graphs-2106.04714</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nrgnn-learning-a-label-noise-resistant-graph-neural-network-on-sparsely-and-noisily-labeled-graphs-2106.04714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nrgnn-learning-a-label-noise-resistant-graph-neural-network-on-sparsely-and-noisily-labeled-graphs-2106.04714"/></url>
<url><loc>https://scifaro.com/en/abs/labeled-data-generation-with-inexact-supervision-2106.04716</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/labeled-data-generation-with-inexact-supervision-2106.04716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/labeled-data-generation-with-inexact-supervision-2106.04716"/></url>
<url><loc>https://scifaro.com/en/abs/oodin-an-optimised-on-device-inference-framework-for-heterogeneous-mobile-devices-2106.04723</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oodin-an-optimised-on-device-inference-framework-for-heterogeneous-mobile-devices-2106.04723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oodin-an-optimised-on-device-inference-framework-for-heterogeneous-mobile-devices-2106.04723"/></url>
<url><loc>https://scifaro.com/en/abs/adamatch-a-unified-approach-to-semi-supervised-learning-and-domain-adaptation-2106.04732</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adamatch-a-unified-approach-to-semi-supervised-learning-and-domain-adaptation-2106.04732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adamatch-a-unified-approach-to-semi-supervised-learning-and-domain-adaptation-2106.04732"/></url>
<url><loc>https://scifaro.com/en/abs/learning-subtree-pattern-importance-for-weisfeiler-lehmanbased-graph-kernels-2106.04739</loc><lastmod>2022-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-subtree-pattern-importance-for-weisfeiler-lehmanbased-graph-kernels-2106.04739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-subtree-pattern-importance-for-weisfeiler-lehmanbased-graph-kernels-2106.04739"/></url>
<url><loc>https://scifaro.com/en/abs/online-optimization-in-games-via-control-theory-connecting-regret-passivity-and-poincar-e-recurrence-2106.04748</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-optimization-in-games-via-control-theory-connecting-regret-passivity-and-poincar-e-recurrence-2106.04748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-optimization-in-games-via-control-theory-connecting-regret-passivity-and-poincar-e-recurrence-2106.04748"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-graph-learning-with-hyperbolic-embedding-for-temporal-health-event-prediction-2106.04751</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-graph-learning-with-hyperbolic-embedding-for-temporal-health-event-prediction-2106.04751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-graph-learning-with-hyperbolic-embedding-for-temporal-health-event-prediction-2106.04751"/></url>
<url><loc>https://scifaro.com/en/abs/fair-machine-learning-under-limited-demographically-labeled-data-2106.04757</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-machine-learning-under-limited-demographically-labeled-data-2106.04757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-machine-learning-under-limited-demographically-labeled-data-2106.04757"/></url>
<url><loc>https://scifaro.com/en/abs/fixed-budget-best-arm-identification-in-structured-bandits-2106.04763</loc><lastmod>2023-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fixed-budget-best-arm-identification-in-structured-bandits-2106.04763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fixed-budget-best-arm-identification-in-structured-bandits-2106.04763"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-deep-neural-network-generalization-with-perturbation-response-curves-2106.04765</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-deep-neural-network-generalization-with-perturbation-response-curves-2106.04765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-deep-neural-network-generalization-with-perturbation-response-curves-2106.04765"/></url>
<url><loc>https://scifaro.com/en/abs/ex-uno-plures-splitting-one-model-into-an-ensemble-of-subnetworks-2106.04767</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ex-uno-plures-splitting-one-model-into-an-ensemble-of-subnetworks-2106.04767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ex-uno-plures-splitting-one-model-into-an-ensemble-of-subnetworks-2106.04767"/></url>
<url><loc>https://scifaro.com/en/abs/ghosts-in-neural-networks-existence-structure-and-role-of-infinite-dimensional-null-space-2106.04770</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ghosts-in-neural-networks-existence-structure-and-role-of-infinite-dimensional-null-space-2106.04770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ghosts-in-neural-networks-existence-structure-and-role-of-infinite-dimensional-null-space-2106.04770"/></url>
<url><loc>https://scifaro.com/en/abs/uncovering-closed-form-governing-equations-of-nonlinear-dynamics-from-videos-2106.04776</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncovering-closed-form-governing-equations-of-nonlinear-dynamics-from-videos-2106.04776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncovering-closed-form-governing-equations-of-nonlinear-dynamics-from-videos-2106.04776"/></url>
<url><loc>https://scifaro.com/en/abs/encoding-physics-to-learn-reaction-diffusion-processes-2106.04781</loc><lastmod>2023-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encoding-physics-to-learn-reaction-diffusion-processes-2106.04781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encoding-physics-to-learn-reaction-diffusion-processes-2106.04781"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-neural-architecture-search-via-proxy-data-2106.04784</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-neural-architecture-search-via-proxy-data-2106.04784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-neural-architecture-search-via-proxy-data-2106.04784"/></url>
<url><loc>https://scifaro.com/en/abs/towards-the-memorization-effect-of-neural-networks-in-adversarial-training-2106.04794</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-the-memorization-effect-of-neural-networks-in-adversarial-training-2106.04794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-the-memorization-effect-of-neural-networks-in-adversarial-training-2106.04794"/></url>
<url><loc>https://scifaro.com/en/abs/nonasymptotic-theory-for-two-layer-neural-networks-beyond-the-bias-variance-trade-off-2106.04795</loc><lastmod>2023-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonasymptotic-theory-for-two-layer-neural-networks-beyond-the-bias-variance-trade-off-2106.04795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonasymptotic-theory-for-two-layer-neural-networks-beyond-the-bias-variance-trade-off-2106.04795"/></url>
<url><loc>https://scifaro.com/en/abs/pretraining-representations-for-data-efficient-reinforcement-learning-2106.04799</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pretraining-representations-for-data-efficient-reinforcement-learning-2106.04799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pretraining-representations-for-data-efficient-reinforcement-learning-2106.04799"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-task-modelling-for-meta-learning-2106.04802</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-task-modelling-for-meta-learning-2106.04802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-task-modelling-for-meta-learning-2106.04802"/></url>
<url><loc>https://scifaro.com/en/abs/emflow-data-imputation-in-latent-space-via-em-and-deep-flow-models-2106.04804</loc><lastmod>2022-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emflow-data-imputation-in-latent-space-via-em-and-deep-flow-models-2106.04804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emflow-data-imputation-in-latent-space-via-em-and-deep-flow-models-2106.04804"/></url>
<url><loc>https://scifaro.com/en/abs/phase-retrieval-using-single-instance-deep-generative-prior-2106.04812</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phase-retrieval-using-single-instance-deep-generative-prior-2106.04812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phase-retrieval-using-single-instance-deep-generative-prior-2106.04812"/></url>
<url><loc>https://scifaro.com/en/abs/chacha-for-online-automl-2106.04815</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chacha-for-online-automl-2106.04815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chacha-for-online-automl-2106.04815"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-recommendations-and-low-regret-cutting-plane-algorithms-2106.04819</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-recommendations-and-low-regret-cutting-plane-algorithms-2106.04819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-recommendations-and-low-regret-cutting-plane-algorithms-2106.04819"/></url>
<url><loc>https://scifaro.com/en/abs/taxonomy-of-machine-learning-safety-a-survey-and-primer-2106.04823</loc><lastmod>2022-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taxonomy-of-machine-learning-safety-a-survey-and-primer-2106.04823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taxonomy-of-machine-learning-safety-a-survey-and-primer-2106.04823"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-hawkes-processes-in-time-varying-system-2106.04844</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-hawkes-processes-in-time-varying-system-2106.04844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-hawkes-processes-in-time-varying-system-2106.04844"/></url>
<url><loc>https://scifaro.com/en/abs/self-improved-retrosynthetic-planning-2106.04880</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-improved-retrosynthetic-planning-2106.04880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-improved-retrosynthetic-planning-2106.04880"/></url>
<url><loc>https://scifaro.com/en/abs/interaction-grounded-learning-2106.04887</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interaction-grounded-learning-2106.04887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interaction-grounded-learning-2106.04887"/></url>
<url><loc>https://scifaro.com/en/abs/policy-finetuning-bridging-sample-efficient-offline-and-online-reinforcement-learning-2106.04895</loc><lastmod>2022-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-finetuning-bridging-sample-efficient-offline-and-online-reinforcement-learning-2106.04895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-finetuning-bridging-sample-efficient-offline-and-online-reinforcement-learning-2106.04895"/></url>
<url><loc>https://scifaro.com/en/abs/simulating-continuum-mechanics-with-multi-scale-graph-neural-networks-2106.04900</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulating-continuum-mechanics-with-multi-scale-graph-neural-networks-2106.04900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulating-continuum-mechanics-with-multi-scale-graph-neural-networks-2106.04900"/></url>
<url><loc>https://scifaro.com/en/abs/memory-based-optimization-methods-for-model-agnostic-meta-learning-and-personalized-federated-learning-2106.04911</loc><lastmod>2023-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-based-optimization-methods-for-model-agnostic-meta-learning-and-personalized-federated-learning-2106.04911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-based-optimization-methods-for-model-agnostic-meta-learning-and-personalized-federated-learning-2106.04911"/></url>
<url><loc>https://scifaro.com/en/abs/on-margin-based-cluster-recovery-with-oracle-queries-2106.04913</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-margin-based-cluster-recovery-with-oracle-queries-2106.04913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-margin-based-cluster-recovery-with-oracle-queries-2106.04913"/></url>
<url><loc>https://scifaro.com/en/abs/towards-deep-industrial-transfer-learning-for-anomaly-detection-on-time-series-data-2106.04920</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-deep-industrial-transfer-learning-for-anomaly-detection-on-time-series-data-2106.04920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-deep-industrial-transfer-learning-for-anomaly-detection-on-time-series-data-2106.04920"/></url>
<url><loc>https://scifaro.com/en/abs/a-bi-level-framework-for-learning-to-solve-combinatorial-optimization-on-graphs-2106.04927</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bi-level-framework-for-learning-to-solve-combinatorial-optimization-on-graphs-2106.04927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bi-level-framework-for-learning-to-solve-combinatorial-optimization-on-graphs-2106.04927"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-adversarial-distillation-with-unreliable-teachers-2106.04928</loc><lastmod>2022-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-adversarial-distillation-with-unreliable-teachers-2106.04928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-adversarial-distillation-with-unreliable-teachers-2106.04928"/></url>
<url><loc>https://scifaro.com/en/abs/attacking-adversarial-attacks-as-a-defense-2106.04938</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attacking-adversarial-attacks-as-a-defense-2106.04938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attacking-adversarial-attacks-as-a-defense-2106.04938"/></url>
<url><loc>https://scifaro.com/en/abs/symmetric-spaces-for-graph-embeddings-a-finsler-riemannian-approach-2106.04941</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetric-spaces-for-graph-embeddings-a-finsler-riemannian-approach-2106.04941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetric-spaces-for-graph-embeddings-a-finsler-riemannian-approach-2106.04941"/></url>
<url><loc>https://scifaro.com/en/abs/expectation-programming-adapting-probabilistic-programming-systems-to-estimate-expectations-efficiently-2106.04953</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expectation-programming-adapting-probabilistic-programming-systems-to-estimate-expectations-efficiently-2106.04953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expectation-programming-adapting-probabilistic-programming-systems-to-estimate-expectations-efficiently-2106.04953"/></url>
<url><loc>https://scifaro.com/en/abs/gp-convcnp-better-generalization-for-convolutional-conditional-neural-processes-on-time-series-data-2106.04967</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gp-convcnp-better-generalization-for-convolutional-conditional-neural-processes-on-time-series-data-2106.04967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gp-convcnp-better-generalization-for-convolutional-conditional-neural-processes-on-time-series-data-2106.04967"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-softmax-confidence-and-uncertainty-2106.04972</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-softmax-confidence-and-uncertainty-2106.04972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-softmax-confidence-and-uncertainty-2106.04972"/></url>
<url><loc>https://scifaro.com/en/abs/cooperative-online-learning-with-feedback-graphs-2106.04982</loc><lastmod>2024-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cooperative-online-learning-with-feedback-graphs-2106.04982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cooperative-online-learning-with-feedback-graphs-2106.04982"/></url>
<url><loc>https://scifaro.com/en/abs/energy-based-models-for-code-generation-under-compilability-constraints-2106.04985</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-based-models-for-code-generation-under-compilability-constraints-2106.04985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-based-models-for-code-generation-under-compilability-constraints-2106.04985"/></url>
<url><loc>https://scifaro.com/en/abs/multistep-electric-vehicle-charging-station-occupancy-prediction-using-hybrid-lstm-neural-networks-2106.04986</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multistep-electric-vehicle-charging-station-occupancy-prediction-using-hybrid-lstm-neural-networks-2106.04986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multistep-electric-vehicle-charging-station-occupancy-prediction-using-hybrid-lstm-neural-networks-2106.04986"/></url>
<url><loc>https://scifaro.com/en/abs/it-takes-two-to-tango-mixup-for-deep-metric-learning-2106.04990</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/it-takes-two-to-tango-mixup-for-deep-metric-learning-2106.04990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/it-takes-two-to-tango-mixup-for-deep-metric-learning-2106.04990"/></url>
<url><loc>https://scifaro.com/en/abs/no-fear-of-heterogeneity-classifier-calibration-for-federated-learning-with-non-iid-data-2106.05001</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-fear-of-heterogeneity-classifier-calibration-for-federated-learning-with-non-iid-data-2106.05001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-fear-of-heterogeneity-classifier-calibration-for-federated-learning-with-non-iid-data-2106.05001"/></url>
<url><loc>https://scifaro.com/en/abs/network-insensitivity-to-parameter-noise-via-adversarial-regularization-2106.05009</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-insensitivity-to-parameter-noise-via-adversarial-regularization-2106.05009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-insensitivity-to-parameter-noise-via-adversarial-regularization-2106.05009"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-bellman-operators-2106.05012</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-bellman-operators-2106.05012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-bellman-operators-2106.05012"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-inference-through-early-exit-networks-design-challenges-and-directions-2106.05022</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-inference-through-early-exit-networks-design-challenges-and-directions-2106.05022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-inference-through-early-exit-networks-design-challenges-and-directions-2106.05022"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-auto-encoders-and-segmentation-methods-for-middle-level-explanations-of-image-classification-systems-2106.05037</loc><lastmod>2022-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-auto-encoders-and-segmentation-methods-for-middle-level-explanations-of-image-classification-systems-2106.05037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-auto-encoders-and-segmentation-methods-for-middle-level-explanations-of-image-classification-systems-2106.05037"/></url>
<url><loc>https://scifaro.com/en/abs/hermite-polynomial-features-for-private-data-generation-2106.05042</loc><lastmod>2022-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hermite-polynomial-features-for-private-data-generation-2106.05042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hermite-polynomial-features-for-private-data-generation-2106.05042"/></url>
<url><loc>https://scifaro.com/en/abs/quickest-change-detection-with-unknown-parameters-constant-complexity-and-near-optimality-2106.05061</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quickest-change-detection-with-unknown-parameters-constant-complexity-and-near-optimality-2106.05061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quickest-change-detection-with-unknown-parameters-constant-complexity-and-near-optimality-2106.05061"/></url>
<url><loc>https://scifaro.com/en/abs/multi-layered-network-exploration-via-random-walks-from-offline-optimization-to-online-learning-2106.05065</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-layered-network-exploration-via-random-walks-from-offline-optimization-to-online-learning-2106.05065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-layered-network-exploration-via-random-walks-from-offline-optimization-to-online-learning-2106.05065"/></url>
<url><loc>https://scifaro.com/en/abs/offline-inverse-reinforcement-learning-2106.05068</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-inverse-reinforcement-learning-2106.05068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-inverse-reinforcement-learning-2106.05068"/></url>
<url><loc>https://scifaro.com/en/abs/operationalizing-complex-causes-a-pragmatic-view-of-mediation-2106.05074</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/operationalizing-complex-causes-a-pragmatic-view-of-mediation-2106.05074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/operationalizing-complex-causes-a-pragmatic-view-of-mediation-2106.05074"/></url>
<url><loc>https://scifaro.com/en/abs/learning-pseudo-backdoors-for-mixed-integer-programs-2106.05080</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-pseudo-backdoors-for-mixed-integer-programs-2106.05080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-pseudo-backdoors-for-mixed-integer-programs-2106.05080"/></url>
<url><loc>https://scifaro.com/en/abs/who-is-the-strongest-enemy-towards-optimal-and-efficient-evasion-attacks-in-deep-rl-2106.05087</loc><lastmod>2023-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/who-is-the-strongest-enemy-towards-optimal-and-efficient-evasion-attacks-in-deep-rl-2106.05087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/who-is-the-strongest-enemy-towards-optimal-and-efficient-evasion-attacks-in-deep-rl-2106.05087"/></url>
<url><loc>https://scifaro.com/en/abs/pebble-feedback-efficient-interactive-reinforcement-learning-via-relabeling-experience-and-unsupervised-pre-training-2106.05091</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pebble-feedback-efficient-interactive-reinforcement-learning-via-relabeling-experience-and-unsupervised-pre-training-2106.05091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pebble-feedback-efficient-interactive-reinforcement-learning-via-relabeling-experience-and-unsupervised-pre-training-2106.05091"/></url>
<url><loc>https://scifaro.com/en/abs/learning-normal-form-autoencoders-for-data-driven-discovery-of-universal-parameter-dependent-governing-equations-2106.05102</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-normal-form-autoencoders-for-data-driven-discovery-of-universal-parameter-dependent-governing-equations-2106.05102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-normal-form-autoencoders-for-data-driven-discovery-of-universal-parameter-dependent-governing-equations-2106.05102"/></url>
<url><loc>https://scifaro.com/en/abs/self-paced-context-evaluation-for-contextual-reinforcement-learning-2106.05110</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-paced-context-evaluation-for-contextual-reinforcement-learning-2106.05110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-paced-context-evaluation-for-contextual-reinforcement-learning-2106.05110"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-active-search-for-combinatorial-optimization-problems-2106.05126</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-active-search-for-combinatorial-optimization-problems-2106.05126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-active-search-for-combinatorial-optimization-problems-2106.05126"/></url>
<url><loc>https://scifaro.com/en/abs/deep-clustering-based-fair-outlier-detection-2106.05127</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-clustering-based-fair-outlier-detection-2106.05127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-clustering-based-fair-outlier-detection-2106.05127"/></url>
<url><loc>https://scifaro.com/en/abs/regret-and-cumulative-constraint-violation-analysis-for-online-convex-optimization-with-long-term-constraints-2106.05135</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-and-cumulative-constraint-violation-analysis-for-online-convex-optimization-with-long-term-constraints-2106.05135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-and-cumulative-constraint-violation-analysis-for-online-convex-optimization-with-long-term-constraints-2106.05135"/></url>
<url><loc>https://scifaro.com/en/abs/pretrained-encoders-are-all-you-need-2106.05139</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pretrained-encoders-are-all-you-need-2106.05139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pretrained-encoders-are-all-you-need-2106.05139"/></url>
<url><loc>https://scifaro.com/en/abs/neighborhood-contrastive-learning-applied-to-online-patient-monitoring-2106.05142</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neighborhood-contrastive-learning-applied-to-online-patient-monitoring-2106.05142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neighborhood-contrastive-learning-applied-to-online-patient-monitoring-2106.05142"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-graph-neural-networks-via-graph-coarsening-2106.05150</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-graph-neural-networks-via-graph-coarsening-2106.05150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-graph-neural-networks-via-graph-coarsening-2106.05150"/></url>
<url><loc>https://scifaro.com/en/abs/a-lyapunov-based-methodology-for-constrained-optimization-with-bandit-feedback-2106.05165</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-lyapunov-based-methodology-for-constrained-optimization-with-bandit-feedback-2106.05165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-lyapunov-based-methodology-for-constrained-optimization-with-bandit-feedback-2106.05165"/></url>
<url><loc>https://scifaro.com/en/abs/ef21-a-new-simpler-theoretically-better-and-practically-faster-error-feedback-2106.05203</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ef21-a-new-simpler-theoretically-better-and-practically-faster-error-feedback-2106.05203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ef21-a-new-simpler-theoretically-better-and-practically-faster-error-feedback-2106.05203"/></url>
<url><loc>https://scifaro.com/en/abs/cross-node-federated-graph-neural-network-for-spatio-temporal-data-modeling-2106.05223</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-node-federated-graph-neural-network-for-spatio-temporal-data-modeling-2106.05223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-node-federated-graph-neural-network-for-spatio-temporal-data-modeling-2106.05223"/></url>
<url><loc>https://scifaro.com/en/abs/realizing-gans-via-a-tunable-loss-function-2106.05232</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/realizing-gans-via-a-tunable-loss-function-2106.05232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/realizing-gans-via-a-tunable-loss-function-2106.05232"/></url>
<url><loc>https://scifaro.com/en/abs/do-transformers-really-perform-bad-for-graph-representation-2106.05234</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-transformers-really-perform-bad-for-graph-representation-2106.05234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-transformers-really-perform-bad-for-graph-representation-2106.05234"/></url>
<url><loc>https://scifaro.com/en/abs/i-don-t-need-u-identifiable-non-linear-ica-without-side-information-2106.05238</loc><lastmod>2022-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/i-don-t-need-u-identifiable-non-linear-ica-without-side-information-2106.05238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/i-don-t-need-u-identifiable-non-linear-ica-without-side-information-2106.05238"/></url>
<url><loc>https://scifaro.com/en/abs/xbnet-an-extremely-boosted-neural-network-2106.05239</loc><lastmod>2022-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xbnet-an-extremely-boosted-neural-network-2106.05239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xbnet-an-extremely-boosted-neural-network-2106.05239"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-attention-belief-networks-2106.05251</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-attention-belief-networks-2106.05251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-attention-belief-networks-2106.05251"/></url>
<url><loc>https://scifaro.com/en/abs/temporl-learning-when-to-act-2106.05262</loc><lastmod>2021-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporl-learning-when-to-act-2106.05262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporl-learning-when-to-act-2106.05262"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-time-series-predictions-with-dynamic-masks-2106.05303</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-time-series-predictions-with-dynamic-masks-2106.05303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-time-series-predictions-with-dynamic-masks-2106.05303"/></url>
<url><loc>https://scifaro.com/en/abs/attentional-meta-learners-for-few-shot-polythetic-classification-2106.05317</loc><lastmod>2022-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attentional-meta-learners-for-few-shot-polythetic-classification-2106.05317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attentional-meta-learners-for-few-shot-polythetic-classification-2106.05317"/></url>
<url><loc>https://scifaro.com/en/abs/stein-latent-optimization-for-generative-adversarial-networks-2106.05319</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stein-latent-optimization-for-generative-adversarial-networks-2106.05319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stein-latent-optimization-for-generative-adversarial-networks-2106.05319"/></url>
<url><loc>https://scifaro.com/en/abs/zope-a-fast-optimizer-for-relu-networks-with-low-dimensional-inputs-2106.05325</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zope-a-fast-optimizer-for-relu-networks-with-low-dimensional-inputs-2106.05325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zope-a-fast-optimizer-for-relu-networks-with-low-dimensional-inputs-2106.05325"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-for-stochastic-shortest-path-model-via-posterior-sampling-2106.05335</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-for-stochastic-shortest-path-model-via-posterior-sampling-2106.05335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-for-stochastic-shortest-path-model-via-posterior-sampling-2106.05335"/></url>
<url><loc>https://scifaro.com/en/abs/pulling-back-information-geometry-2106.05367</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pulling-back-information-geometry-2106.05367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pulling-back-information-geometry-2106.05367"/></url>
<url><loc>https://scifaro.com/en/abs/feature-and-parameter-selection-in-stochastic-linear-bandits-2106.05378</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-and-parameter-selection-in-stochastic-linear-bandits-2106.05378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-and-parameter-selection-in-stochastic-linear-bandits-2106.05378"/></url>
<url><loc>https://scifaro.com/en/abs/long-time-integration-of-parametric-evolution-equations-with-physics-informed-deeponets-2106.05384</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-time-integration-of-parametric-evolution-equations-with-physics-informed-deeponets-2106.05384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-time-integration-of-parametric-evolution-equations-with-physics-informed-deeponets-2106.05384"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-intelligence-in-drug-discovery-applications-and-techniques-2106.05386</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-intelligence-in-drug-discovery-applications-and-techniques-2106.05386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-intelligence-in-drug-discovery-applications-and-techniques-2106.05386"/></url>
<url><loc>https://scifaro.com/en/abs/eye-of-the-beholder-improved-relation-generalization-for-text-based-reinforcement-learning-agents-2106.05387</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eye-of-the-beholder-improved-relation-generalization-for-text-based-reinforcement-learning-agents-2106.05387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eye-of-the-beholder-improved-relation-generalization-for-text-based-reinforcement-learning-agents-2106.05387"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-reusable-knowledge-for-continual-learning-via-metalearning-2106.05390</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-reusable-knowledge-for-continual-learning-via-metalearning-2106.05390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-reusable-knowledge-for-continual-learning-via-metalearning-2106.05390"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-aware-node-representation-learning-2106.05391</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-aware-node-representation-learning-2106.05391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-aware-node-representation-learning-2106.05391"/></url>
<url><loc>https://scifaro.com/en/abs/deception-in-social-learning-a-multi-agent-reinforcement-learning-perspective-2106.05402</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deception-in-social-learning-a-multi-agent-reinforcement-learning-perspective-2106.05402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deception-in-social-learning-a-multi-agent-reinforcement-learning-perspective-2106.05402"/></url>
<url><loc>https://scifaro.com/en/abs/zero-time-waste-recycling-predictions-in-early-exit-neural-networks-2106.05409</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-time-waste-recycling-predictions-in-early-exit-neural-networks-2106.05409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-time-waste-recycling-predictions-in-early-exit-neural-networks-2106.05409"/></url>
<url><loc>https://scifaro.com/en/abs/dasvdd-deep-autoencoding-support-vector-data-descriptor-for-anomaly-detection-2106.05410</loc><lastmod>2024-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dasvdd-deep-autoencoding-support-vector-data-descriptor-for-anomaly-detection-2106.05410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dasvdd-deep-autoencoding-support-vector-data-descriptor-for-anomaly-detection-2106.05410"/></url>
<url><loc>https://scifaro.com/en/abs/probing-transfer-learning-with-a-model-of-synthetic-correlated-datasets-2106.05418</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probing-transfer-learning-with-a-model-of-synthetic-correlated-datasets-2106.05418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probing-transfer-learning-with-a-model-of-synthetic-correlated-datasets-2106.05418"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-notion-of-individually-fair-clustering-alpha-equitable-k-center-2106.05423</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-notion-of-individually-fair-clustering-alpha-equitable-k-center-2106.05423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-notion-of-individually-fair-clustering-alpha-equitable-k-center-2106.05423"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-alternatives-to-the-root-mean-square-for-adaptive-gradient-methods-2106.05449</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-alternatives-to-the-root-mean-square-for-adaptive-gradient-methods-2106.05449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-alternatives-to-the-root-mean-square-for-adaptive-gradient-methods-2106.05449"/></url>
<url><loc>https://scifaro.com/en/abs/ake-gnn-effective-graph-learning-with-adaptive-knowledge-exchange-2106.05455</loc><lastmod>2023-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ake-gnn-effective-graph-learning-with-adaptive-knowledge-exchange-2106.05455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ake-gnn-effective-graph-learning-with-adaptive-knowledge-exchange-2106.05455"/></url>
<url><loc>https://scifaro.com/en/abs/mode-recovery-in-neural-autoregressive-sequence-modeling-2106.05459</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mode-recovery-in-neural-autoregressive-sequence-modeling-2106.05459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mode-recovery-in-neural-autoregressive-sequence-modeling-2106.05459"/></url>
<url><loc>https://scifaro.com/en/abs/multi-vfl-a-vertical-federated-learning-system-for-multiple-data-and-label-owners-2106.05468</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-vfl-a-vertical-federated-learning-system-for-multiple-data-and-label-owners-2106.05468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-vfl-a-vertical-federated-learning-system-for-multiple-data-and-label-owners-2106.05468"/></url>
<url><loc>https://scifaro.com/en/abs/automated-self-supervised-learning-for-graphs-2106.05470</loc><lastmod>2022-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-self-supervised-learning-for-graphs-2106.05470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-self-supervised-learning-for-graphs-2106.05470"/></url>
<url><loc>https://scifaro.com/en/abs/learning-based-proximity-matrix-factorization-for-node-embedding-2106.05476</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-based-proximity-matrix-factorization-for-node-embedding-2106.05476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-based-proximity-matrix-factorization-for-node-embedding-2106.05476"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-task-driven-data-quality-management-2106.05484</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-task-driven-data-quality-management-2106.05484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-task-driven-data-quality-management-2106.05484"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-play-general-sum-games-against-multiple-boundedly-rational-agents-2106.05492</loc><lastmod>2022-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-play-general-sum-games-against-multiple-boundedly-rational-agents-2106.05492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-play-general-sum-games-against-multiple-boundedly-rational-agents-2106.05492"/></url>
<url><loc>https://scifaro.com/en/abs/distance-metric-learning-through-minimization-of-the-free-energy-2106.05495</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-metric-learning-through-minimization-of-the-free-energy-2106.05495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-metric-learning-through-minimization-of-the-free-energy-2106.05495"/></url>
<url><loc>https://scifaro.com/en/abs/hyperspace-neighbor-penetration-approach-to-dynamic-programming-for-model-based-reinforcement-learning-problems-with-slowly-changing-variables-in-a-continuous-state-space-2106.05497</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperspace-neighbor-penetration-approach-to-dynamic-programming-for-model-based-reinforcement-learning-problems-with-slowly-changing-variables-in-a-continuous-state-space-2106.05497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperspace-neighbor-penetration-approach-to-dynamic-programming-for-model-based-reinforcement-learning-problems-with-slowly-changing-variables-in-a-continuous-state-space-2106.05497"/></url>
<url><loc>https://scifaro.com/en/abs/vertical-federated-learning-without-revealing-intersection-membership-2106.05508</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vertical-federated-learning-without-revealing-intersection-membership-2106.05508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vertical-federated-learning-without-revealing-intersection-membership-2106.05508"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-under-coverage-bias-in-uncertainty-estimation-2106.05515</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-under-coverage-bias-in-uncertainty-estimation-2106.05515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-under-coverage-bias-in-uncertainty-estimation-2106.05515"/></url>
<url><loc>https://scifaro.com/en/abs/a-mathematical-foundation-for-robust-machine-learning-based-on-bias-variance-trade-off-2106.05522</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mathematical-foundation-for-robust-machine-learning-based-on-bias-variance-trade-off-2106.05522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mathematical-foundation-for-robust-machine-learning-based-on-bias-variance-trade-off-2106.05522"/></url>
<url><loc>https://scifaro.com/en/abs/simplifying-deep-reinforcement-learning-via-self-supervision-2106.05526</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simplifying-deep-reinforcement-learning-via-self-supervision-2106.05526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simplifying-deep-reinforcement-learning-via-self-supervision-2106.05526"/></url>
<url><loc>https://scifaro.com/en/abs/soft-truncation-a-universal-training-technique-of-score-based-diffusion-model-for-high-precision-score-estimation-2106.05527</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-truncation-a-universal-training-technique-of-score-based-diffusion-model-for-high-precision-score-estimation-2106.05527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-truncation-a-universal-training-technique-of-score-based-diffusion-model-for-high-precision-score-estimation-2106.05527"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-option-aware-hierarchical-imitation-learning-2106.05530</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-option-aware-hierarchical-imitation-learning-2106.05530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-option-aware-hierarchical-imitation-learning-2106.05530"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-tangent-kernel-perspective-of-gans-2106.05566</loc><lastmod>2022-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-tangent-kernel-perspective-of-gans-2106.05566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-tangent-kernel-perspective-of-gans-2106.05566"/></url>
<url><loc>https://scifaro.com/en/abs/front-contribution-instead-of-back-propagation-2106.05569</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/front-contribution-instead-of-back-propagation-2106.05569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/front-contribution-instead-of-back-propagation-2106.05569"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-with-a-mixture-prior-2106.05608</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-with-a-mixture-prior-2106.05608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-with-a-mixture-prior-2106.05608"/></url>
<url><loc>https://scifaro.com/en/abs/gnnautoscale-scalable-and-expressive-graph-neural-networks-via-historical-embeddings-2106.05609</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gnnautoscale-scalable-and-expressive-graph-neural-networks-via-historical-embeddings-2106.05609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gnnautoscale-scalable-and-expressive-graph-neural-networks-via-historical-embeddings-2106.05609"/></url>
<url><loc>https://scifaro.com/en/abs/next-gen-machine-learning-supported-diagnostic-systems-for-spacecraft-2106.05659</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/next-gen-machine-learning-supported-diagnostic-systems-for-spacecraft-2106.05659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/next-gen-machine-learning-supported-diagnostic-systems-for-spacecraft-2106.05659"/></url>
<url><loc>https://scifaro.com/en/abs/graphit-encoding-graph-structure-in-transformers-2106.05667</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphit-encoding-graph-structure-in-transformers-2106.05667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphit-encoding-graph-structure-in-transformers-2106.05667"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-objective-perspective-on-jointly-tuning-hardware-and-hyperparameters-2106.05680</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-objective-perspective-on-jointly-tuning-hardware-and-hyperparameters-2106.05680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-objective-perspective-on-jointly-tuning-hardware-and-hyperparameters-2106.05680"/></url>
<url><loc>https://scifaro.com/en/abs/learnable-hypergraph-laplacian-for-hypergraph-learning-2106.05701</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learnable-hypergraph-laplacian-for-hypergraph-learning-2106.05701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learnable-hypergraph-laplacian-for-hypergraph-learning-2106.05701"/></url>
<url><loc>https://scifaro.com/en/abs/leveraged-weighted-loss-for-partial-label-learning-2106.05731</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraged-weighted-loss-for-partial-label-learning-2106.05731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraged-weighted-loss-for-partial-label-learning-2106.05731"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-variational-approach-to-clustering-survival-data-2106.05763</loc><lastmod>2022-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-variational-approach-to-clustering-survival-data-2106.05763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-variational-approach-to-clustering-survival-data-2106.05763"/></url>
<url><loc>https://scifaro.com/en/abs/programming-puzzles-2106.05784</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/programming-puzzles-2106.05784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/programming-puzzles-2106.05784"/></url>
<url><loc>https://scifaro.com/en/abs/transformed-cnns-recasting-pre-trained-convolutional-layers-with-self-attention-2106.05795</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformed-cnns-recasting-pre-trained-convolutional-layers-with-self-attention-2106.05795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformed-cnns-recasting-pre-trained-convolutional-layers-with-self-attention-2106.05795"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-machine-learning-forecasts-for-the-uefa-euro-2020-2106.05799</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-machine-learning-forecasts-for-the-uefa-euro-2020-2106.05799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-machine-learning-forecasts-for-the-uefa-euro-2020-2106.05799"/></url>
<url><loc>https://scifaro.com/en/abs/metric-policy-representations-for-opponent-modeling-2106.05802</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metric-policy-representations-for-opponent-modeling-2106.05802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metric-policy-representations-for-opponent-modeling-2106.05802"/></url>
<url><loc>https://scifaro.com/en/abs/simple-graph-convolutional-networks-2106.05809</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-graph-convolutional-networks-2106.05809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-graph-convolutional-networks-2106.05809"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-overlooked-issue-of-defining-explanation-objectives-for-local-surrogate-explainers-2106.05810</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-overlooked-issue-of-defining-explanation-objectives-for-local-surrogate-explainers-2106.05810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-overlooked-issue-of-defining-explanation-objectives-for-local-surrogate-explainers-2106.05810"/></url>
<url><loc>https://scifaro.com/en/abs/a-concise-method-for-feature-selection-via-normalized-frequencies-2106.05814</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-concise-method-for-feature-selection-via-normalized-frequencies-2106.05814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-concise-method-for-feature-selection-via-normalized-frequencies-2106.05814"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-graph-augmentation-to-improve-graph-contrastive-learning-2106.05819</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-graph-augmentation-to-improve-graph-contrastive-learning-2106.05819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-graph-augmentation-to-improve-graph-contrastive-learning-2106.05819"/></url>
<url><loc>https://scifaro.com/en/abs/rare-event-estimation-using-stochastic-spectral-embedding-2106.05824</loc><lastmod>2022-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rare-event-estimation-using-stochastic-spectral-embedding-2106.05824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rare-event-estimation-using-stochastic-spectral-embedding-2106.05824"/></url>
<url><loc>https://scifaro.com/en/abs/online-bayesian-inference-for-multiple-changepoints-and-risk-assessment-2106.05834</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-bayesian-inference-for-multiple-changepoints-and-risk-assessment-2106.05834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-bayesian-inference-for-multiple-changepoints-and-risk-assessment-2106.05834"/></url>
<url><loc>https://scifaro.com/en/abs/eventdrop-data-augmentation-for-event-based-learning-2106.05836</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eventdrop-data-augmentation-for-event-based-learning-2106.05836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eventdrop-data-augmentation-for-event-based-learning-2106.05836"/></url>
<url><loc>https://scifaro.com/en/abs/a-bagging-and-boosting-based-convexly-combined-optimum-mixture-probabilistic-model-2106.05840</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bagging-and-boosting-based-convexly-combined-optimum-mixture-probabilistic-model-2106.05840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bagging-and-boosting-based-convexly-combined-optimum-mixture-probabilistic-model-2106.05840"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-gene-selection-approach-using-xgboost-and-multi-objective-genetic-algorithm-for-cancer-classification-2106.05841</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-gene-selection-approach-using-xgboost-and-multi-objective-genetic-algorithm-for-cancer-classification-2106.05841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-gene-selection-approach-using-xgboost-and-multi-objective-genetic-algorithm-for-cancer-classification-2106.05841"/></url>
<url><loc>https://scifaro.com/en/abs/causality-in-neural-networks-an-extended-abstract-2106.05842</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causality-in-neural-networks-an-extended-abstract-2106.05842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causality-in-neural-networks-an-extended-abstract-2106.05842"/></url>
<url><loc>https://scifaro.com/en/abs/semsegloss-a-python-package-of-loss-functions-for-semantic-segmentation-2106.05844</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semsegloss-a-python-package-of-loss-functions-for-semantic-segmentation-2106.05844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semsegloss-a-python-package-of-loss-functions-for-semantic-segmentation-2106.05844"/></url>
<url><loc>https://scifaro.com/en/abs/latent-space-arc-therapy-optimization-2106.05846</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-space-arc-therapy-optimization-2106.05846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-space-arc-therapy-optimization-2106.05846"/></url>
<url><loc>https://scifaro.com/en/abs/deep-probabilistic-time-series-forecasting-using-augmented-recurrent-input-for-dynamic-systems-2106.05848</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-probabilistic-time-series-forecasting-using-augmented-recurrent-input-for-dynamic-systems-2106.05848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-probabilistic-time-series-forecasting-using-augmented-recurrent-input-for-dynamic-systems-2106.05848"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-observations-on-the-effects-of-data-transformation-in-machine-learning-classification-of-geological-domains-2106.05855</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-observations-on-the-effects-of-data-transformation-in-machine-learning-classification-of-geological-domains-2106.05855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-observations-on-the-effects-of-data-transformation-in-machine-learning-classification-of-geological-domains-2106.05855"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-residential-load-patterns-by-household-demographic-and-socioeconomic-factors-2106.05858</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-residential-load-patterns-by-household-demographic-and-socioeconomic-factors-2106.05858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-residential-load-patterns-by-household-demographic-and-socioeconomic-factors-2106.05858"/></url>
<url><loc>https://scifaro.com/en/abs/a-meta-learning-approach-to-discerning-causal-graph-structure-2106.05859</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-meta-learning-approach-to-discerning-causal-graph-structure-2106.05859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-meta-learning-approach-to-discerning-causal-graph-structure-2106.05859"/></url>
<url><loc>https://scifaro.com/en/abs/dmidas-deep-mixed-data-sampling-regression-for-long-multi-horizon-time-series-forecasting-2106.05860</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dmidas-deep-mixed-data-sampling-regression-for-long-multi-horizon-time-series-forecasting-2106.05860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dmidas-deep-mixed-data-sampling-regression-for-long-multi-horizon-time-series-forecasting-2106.05860"/></url>
<url><loc>https://scifaro.com/en/abs/learning-functional-priors-and-posteriors-from-data-and-physics-2106.05863</loc><lastmod>2022-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-functional-priors-and-posteriors-from-data-and-physics-2106.05863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-functional-priors-and-posteriors-from-data-and-physics-2106.05863"/></url>
<url><loc>https://scifaro.com/en/abs/verifiable-and-compositional-reinforcement-learning-systems-2106.05864</loc><lastmod>2022-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/verifiable-and-compositional-reinforcement-learning-systems-2106.05864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/verifiable-and-compositional-reinforcement-learning-systems-2106.05864"/></url>
<url><loc>https://scifaro.com/en/abs/investigation-of-uncertainty-of-deep-learning-based-object-classification-on-radar-spectra-2106.05870</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigation-of-uncertainty-of-deep-learning-based-object-classification-on-radar-spectra-2106.05870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigation-of-uncertainty-of-deep-learning-based-object-classification-on-radar-spectra-2106.05870"/></url>
<url><loc>https://scifaro.com/en/abs/knowing-when-we-do-not-know-bayesian-continual-learning-for-sensing-based-analysis-tasks-2106.05872</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowing-when-we-do-not-know-bayesian-continual-learning-for-sensing-based-analysis-tasks-2106.05872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowing-when-we-do-not-know-bayesian-continual-learning-for-sensing-based-analysis-tasks-2106.05872"/></url>
<url><loc>https://scifaro.com/en/abs/interferometric-graph-transform-for-community-labeling-2106.05875</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interferometric-graph-transform-for-community-labeling-2106.05875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interferometric-graph-transform-for-community-labeling-2106.05875"/></url>
<url><loc>https://scifaro.com/en/abs/data-fusion-for-deep-learning-on-transport-mode-detection-a-case-study-2106.05876</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-fusion-for-deep-learning-on-transport-mode-detection-a-case-study-2106.05876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-fusion-for-deep-learning-on-transport-mode-detection-a-case-study-2106.05876"/></url>
<url><loc>https://scifaro.com/en/abs/group-equivariant-subsampling-2106.05886</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-equivariant-subsampling-2106.05886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-equivariant-subsampling-2106.05886"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-and-object-quantification-networks-2106.05891</loc><lastmod>2021-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-and-object-quantification-networks-2106.05891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-and-object-quantification-networks-2106.05891"/></url>
<url><loc>https://scifaro.com/en/abs/dair-disentangled-attention-intrinsic-regularization-for-safe-and-efficient-bimanual-manipulation-2106.05907</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dair-disentangled-attention-intrinsic-regularization-for-safe-and-efficient-bimanual-manipulation-2106.05907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dair-disentangled-attention-intrinsic-regularization-for-safe-and-efficient-bimanual-manipulation-2106.05907"/></url>
<url><loc>https://scifaro.com/en/abs/early-stopped-neural-networks-are-consistent-2106.05932</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-stopped-neural-networks-are-consistent-2106.05932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-stopped-neural-networks-are-consistent-2106.05932"/></url>
<url><loc>https://scifaro.com/en/abs/fair-normalizing-flows-2106.05937</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-normalizing-flows-2106.05937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-normalizing-flows-2106.05937"/></url>
<url><loc>https://scifaro.com/en/abs/does-knowledge-distillation-really-work-2106.05945</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-knowledge-distillation-really-work-2106.05945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-knowledge-distillation-really-work-2106.05945"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-batchnorm-towards-a-unified-understanding-of-normalization-in-deep-learning-2106.05956</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-batchnorm-towards-a-unified-understanding-of-normalization-in-deep-learning-2106.05956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-batchnorm-towards-a-unified-understanding-of-normalization-in-deep-learning-2106.05956"/></url>
<url><loc>https://scifaro.com/en/abs/fair-classification-with-adversarial-perturbations-2106.05964</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-classification-with-adversarial-perturbations-2106.05964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-classification-with-adversarial-perturbations-2106.05964"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-variational-gaussian-processes-via-harmonic-kernel-decomposition-2106.05992</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-variational-gaussian-processes-via-harmonic-kernel-decomposition-2106.05992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-variational-gaussian-processes-via-harmonic-kernel-decomposition-2106.05992"/></url>
<url><loc>https://scifaro.com/en/abs/an-ensemble-approach-towards-adversarial-robustness-2106.05996</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-ensemble-approach-towards-adversarial-robustness-2106.05996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-ensemble-approach-towards-adversarial-robustness-2106.05996"/></url>
<url><loc>https://scifaro.com/en/abs/verifying-quantized-neural-networks-using-smt-based-model-checking-2106.05997</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/verifying-quantized-neural-networks-using-smt-based-model-checking-2106.05997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/verifying-quantized-neural-networks-using-smt-based-model-checking-2106.05997"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-framework-for-sensing-and-modeling-interference-in-iot-frequency-bands-2106.06010</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-framework-for-sensing-and-modeling-interference-in-iot-frequency-bands-2106.06010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-framework-for-sensing-and-modeling-interference-in-iot-frequency-bands-2106.06010"/></url>
<url><loc>https://scifaro.com/en/abs/learning-distinct-features-helps-provably-2106.06012</loc><lastmod>2023-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-distinct-features-helps-provably-2106.06012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-distinct-features-helps-provably-2106.06012"/></url>
<url><loc>https://scifaro.com/en/abs/coordinate-independent-convolutional-networks-isometry-and-gauge-equivariant-convolutions-on-riemannian-manifolds-2106.06020</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coordinate-independent-convolutional-networks-isometry-and-gauge-equivariant-convolutions-on-riemannian-manifolds-2106.06020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coordinate-independent-convolutional-networks-isometry-and-gauge-equivariant-convolutions-on-riemannian-manifolds-2106.06020"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-and-imperceptible-adversarial-attack-via-a-homotopy-algorithm-2106.06027</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-and-imperceptible-adversarial-attack-via-a-homotopy-algorithm-2106.06027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-and-imperceptible-adversarial-attack-via-a-homotopy-algorithm-2106.06027"/></url>
<url><loc>https://scifaro.com/en/abs/deep-probabilistic-koopman-long-term-time-series-forecasting-under-periodic-uncertainties-2106.06033</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-probabilistic-koopman-long-term-time-series-forecasting-under-periodic-uncertainties-2106.06033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-probabilistic-koopman-long-term-time-series-forecasting-under-periodic-uncertainties-2106.06033"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-purification-with-score-based-generative-models-2106.06041</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-purification-with-score-based-generative-models-2106.06041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-purification-with-score-based-generative-models-2106.06041"/></url>
<url><loc>https://scifaro.com/en/abs/fedbabu-towards-enhanced-representation-for-federated-image-classification-2106.06042</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedbabu-towards-enhanced-representation-for-federated-image-classification-2106.06042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedbabu-towards-enhanced-representation-for-federated-image-classification-2106.06042"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-evaluation-of-privacy-leakage-interpretability-and-transferability-for-trustworthy-ai-2106.06046</loc><lastmod>2022-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-evaluation-of-privacy-leakage-interpretability-and-transferability-for-trustworthy-ai-2106.06046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-evaluation-of-privacy-leakage-interpretability-and-transferability-for-trustworthy-ai-2106.06046"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-architecture-design-for-tackling-data-heterogeneity-in-federated-learning-2106.06047</loc><lastmod>2022-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-architecture-design-for-tackling-data-heterogeneity-in-federated-learning-2106.06047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-architecture-design-for-tackling-data-heterogeneity-in-federated-learning-2106.06047"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-bayesian-recurrent-neural-networks-on-an-fpga-based-accelerator-2106.06048</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-bayesian-recurrent-neural-networks-on-an-fpga-based-accelerator-2106.06048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-bayesian-recurrent-neural-networks-on-an-fpga-based-accelerator-2106.06048"/></url>
<url><loc>https://scifaro.com/en/abs/fish-fair-spatial-hotspots-2106.06049</loc><lastmod>2024-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fish-fair-spatial-hotspots-2106.06049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fish-fair-spatial-hotspots-2106.06049"/></url>
<url><loc>https://scifaro.com/en/abs/fair-preprocessing-towards-understanding-compositional-fairness-of-data-transformers-in-machine-learning-pipeline-2106.06054</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-preprocessing-towards-understanding-compositional-fairness-of-data-transformers-in-machine-learning-pipeline-2106.06054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-preprocessing-towards-understanding-compositional-fairness-of-data-transformers-in-machine-learning-pipeline-2106.06054"/></url>
<url><loc>https://scifaro.com/en/abs/progressive-scale-boundary-blackbox-attack-via-projective-gradient-estimation-2106.06056</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progressive-scale-boundary-blackbox-attack-via-projective-gradient-estimation-2106.06056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progressive-scale-boundary-blackbox-attack-via-projective-gradient-estimation-2106.06056"/></url>
<url><loc>https://scifaro.com/en/abs/domain-transformer-predicting-samples-of-unseen-future-domains-2106.06057</loc><lastmod>2022-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-transformer-predicting-samples-of-unseen-future-domains-2106.06057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-transformer-predicting-samples-of-unseen-future-domains-2106.06057"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-battery-operation-for-energy-arbitrage-using-rainbow-deep-reinforcement-learning-2106.06061</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-battery-operation-for-energy-arbitrage-using-rainbow-deep-reinforcement-learning-2106.06061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-battery-operation-for-energy-arbitrage-using-rainbow-deep-reinforcement-learning-2106.06061"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimisation-with-formal-guarantees-2106.06067</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimisation-with-formal-guarantees-2106.06067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimisation-with-formal-guarantees-2106.06067"/></url>
<url><loc>https://scifaro.com/en/abs/a-nonmyopic-approach-to-cost-constrained-bayesian-optimization-2106.06079</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nonmyopic-approach-to-cost-constrained-bayesian-optimization-2106.06079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nonmyopic-approach-to-cost-constrained-bayesian-optimization-2106.06079"/></url>
<url><loc>https://scifaro.com/en/abs/gradual-domain-adaptation-in-the-wild-when-intermediate-distributions-are-absent-2106.06080</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradual-domain-adaptation-in-the-wild-when-intermediate-distributions-are-absent-2106.06080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradual-domain-adaptation-in-the-wild-when-intermediate-distributions-are-absent-2106.06080"/></url>
<url><loc>https://scifaro.com/en/abs/decore-deep-compression-with-reinforcement-learning-2106.06091</loc><lastmod>2022-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decore-deep-compression-with-reinforcement-learning-2106.06091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decore-deep-compression-with-reinforcement-learning-2106.06091"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-multidisciplinary-design-optimization-with-neural-networks-2106.06092</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-multidisciplinary-design-optimization-with-neural-networks-2106.06092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-multidisciplinary-design-optimization-with-neural-networks-2106.06092"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-bayesian-learning-via-stepwise-regression-2106.06095</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-bayesian-learning-via-stepwise-regression-2106.06095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-bayesian-learning-via-stepwise-regression-2106.06095"/></url>
<url><loc>https://scifaro.com/en/abs/meta-adaptive-nonlinear-control-theory-and-algorithms-2106.06098</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-adaptive-nonlinear-control-theory-and-algorithms-2106.06098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-adaptive-nonlinear-control-theory-and-algorithms-2106.06098"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-the-effectiveness-of-syntactic-structure-to-learn-code-edit-representations-2106.06110</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-the-effectiveness-of-syntactic-structure-to-learn-code-edit-representations-2106.06110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-the-effectiveness-of-syntactic-structure-to-learn-code-edit-representations-2106.06110"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-expert-annotation-differences-in-animal-behavior-2106.06114</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-expert-annotation-differences-in-animal-behavior-2106.06114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-expert-annotation-differences-in-animal-behavior-2106.06114"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervise-refine-repeat-improving-unsupervised-anomaly-detection-2106.06115</loc><lastmod>2022-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervise-refine-repeat-improving-unsupervised-anomaly-detection-2106.06115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervise-refine-repeat-improving-unsupervised-anomaly-detection-2106.06115"/></url>
<url><loc>https://scifaro.com/en/abs/twin-neural-network-regression-is-a-semi-supervised-regression-algorithm-2106.06124</loc><lastmod>2022-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/twin-neural-network-regression-is-a-semi-supervised-regression-algorithm-2106.06124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/twin-neural-network-regression-is-a-semi-supervised-regression-algorithm-2106.06124"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-federated-learning-via-inexact-admm-2106.06127</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-federated-learning-via-inexact-admm-2106.06127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-federated-learning-via-inexact-admm-2106.06127"/></url>
<url><loc>https://scifaro.com/en/abs/chemrl-gem-geometry-enhanced-molecular-representation-learning-for-property-prediction-2106.06130</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chemrl-gem-geometry-enhanced-molecular-representation-learning-for-property-prediction-2106.06130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chemrl-gem-geometry-enhanced-molecular-representation-learning-for-property-prediction-2106.06130"/></url>
<url><loc>https://scifaro.com/en/abs/is-homophily-a-necessity-for-graph-neural-networks-2106.06134</loc><lastmod>2023-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-homophily-a-necessity-for-graph-neural-networks-2106.06134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-homophily-a-necessity-for-graph-neural-networks-2106.06134"/></url>
<url><loc>https://scifaro.com/en/abs/doro-distributional-and-outlier-robust-optimization-2106.06142</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doro-distributional-and-outlier-robust-optimization-2106.06142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doro-distributional-and-outlier-robust-optimization-2106.06142"/></url>
<url><loc>https://scifaro.com/en/abs/global-neighbor-sampling-for-mixed-cpu-gpu-training-on-giant-graphs-2106.06150</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-neighbor-sampling-for-mixed-cpu-gpu-training-on-giant-graphs-2106.06150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-neighbor-sampling-for-mixed-cpu-gpu-training-on-giant-graphs-2106.06150"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-robustness-of-average-losses-for-partial-label-learning-2106.06152</loc><lastmod>2022-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-robustness-of-average-losses-for-partial-label-learning-2106.06152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-robustness-of-average-losses-for-partial-label-learning-2106.06152"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-generalization-via-decomposing-excess-risk-dynamics-2106.06153</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-generalization-via-decomposing-excess-risk-dynamics-2106.06153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-generalization-via-decomposing-excess-risk-dynamics-2106.06153"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-generative-contrastive-representation-learning-2106.06162</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-generative-contrastive-representation-learning-2106.06162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-generative-contrastive-representation-learning-2106.06162"/></url>
<url><loc>https://scifaro.com/en/abs/hifi-anomaly-detection-for-multivariate-time-series-with-high-order-feature-interactions-2106.06167</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hifi-anomaly-detection-for-multivariate-time-series-with-high-order-feature-interactions-2106.06167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hifi-anomaly-detection-for-multivariate-time-series-with-high-order-feature-interactions-2106.06167"/></url>
<url><loc>https://scifaro.com/en/abs/generate-annotate-and-learn-nlp-with-synthetic-text-2106.06168</loc><lastmod>2022-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generate-annotate-and-learn-nlp-with-synthetic-text-2106.06168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generate-annotate-and-learn-nlp-with-synthetic-text-2106.06168"/></url>
<url><loc>https://scifaro.com/en/abs/taylor-expansion-of-discount-factors-2106.06170</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taylor-expansion-of-discount-factors-2106.06170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taylor-expansion-of-discount-factors-2106.06170"/></url>
<url><loc>https://scifaro.com/en/abs/inter-domain-multi-relational-link-prediction-2106.06171</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inter-domain-multi-relational-link-prediction-2106.06171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inter-domain-multi-relational-link-prediction-2106.06171"/></url>
<url><loc>https://scifaro.com/en/abs/causaladv-adversarial-robustness-through-the-lens-of-causality-2106.06196</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causaladv-adversarial-robustness-through-the-lens-of-causality-2106.06196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causaladv-adversarial-robustness-through-the-lens-of-causality-2106.06196"/></url>
<url><loc>https://scifaro.com/en/abs/locoprop-enhancing-backprop-via-local-loss-optimization-2106.06199</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locoprop-enhancing-backprop-via-local-loss-optimization-2106.06199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locoprop-enhancing-backprop-via-local-loss-optimization-2106.06199"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-pool-in-graph-neural-networks-for-extrapolation-2106.06210</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-pool-in-graph-neural-networks-for-extrapolation-2106.06210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-pool-in-graph-neural-networks-for-extrapolation-2106.06210"/></url>
<url><loc>https://scifaro.com/en/abs/graph-transformer-networks-learning-meta-path-graphs-to-improve-gnns-2106.06218</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-transformer-networks-learning-meta-path-graphs-to-improve-gnns-2106.06218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-transformer-networks-learning-meta-path-graphs-to-improve-gnns-2106.06218"/></url>
<url><loc>https://scifaro.com/en/abs/gdi-rethinking-what-makes-reinforcement-learning-different-from-supervised-learning-2106.06232</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gdi-rethinking-what-makes-reinforcement-learning-different-from-supervised-learning-2106.06232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gdi-rethinking-what-makes-reinforcement-learning-different-from-supervised-learning-2106.06232"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-enhanced-machine-learning-pipeline-against-diverse-adversarial-attacks-2106.06235</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-enhanced-machine-learning-pipeline-against-diverse-adversarial-attacks-2106.06235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-enhanced-machine-learning-pipeline-against-diverse-adversarial-attacks-2106.06235"/></url>
<url><loc>https://scifaro.com/en/abs/safe-reinforcement-learning-with-linear-function-approximation-2106.06239</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-reinforcement-learning-with-linear-function-approximation-2106.06239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-reinforcement-learning-with-linear-function-approximation-2106.06239"/></url>
<url><loc>https://scifaro.com/en/abs/hpo-b-a-large-scale-reproducible-benchmark-for-black-box-hpo-based-on-openml-2106.06257</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hpo-b-a-large-scale-reproducible-benchmark-for-black-box-hpo-based-on-openml-2106.06257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hpo-b-a-large-scale-reproducible-benchmark-for-black-box-hpo-based-on-openml-2106.06257"/></url>
<url><loc>https://scifaro.com/en/abs/trafficstream-a-streaming-traffic-flow-forecasting-framework-based-on-graph-neural-networks-and-continual-learning-2106.06273</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trafficstream-a-streaming-traffic-flow-forecasting-framework-based-on-graph-neural-networks-and-continual-learning-2106.06273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trafficstream-a-streaming-traffic-flow-forecasting-framework-based-on-graph-neural-networks-and-continual-learning-2106.06273"/></url>
<url><loc>https://scifaro.com/en/abs/going-beyond-linear-transformers-with-recurrent-fast-weight-programmers-2106.06295</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/going-beyond-linear-transformers-with-recurrent-fast-weight-programmers-2106.06295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/going-beyond-linear-transformers-with-recurrent-fast-weight-programmers-2106.06295"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-approach-to-lifelong-learning-the-plastic-support-structure-2106.06298</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-approach-to-lifelong-learning-the-plastic-support-structure-2106.06298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-approach-to-lifelong-learning-the-plastic-support-structure-2106.06298"/></url>
<url><loc>https://scifaro.com/en/abs/survey-of-image-based-graph-neural-networks-2106.06307</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survey-of-image-based-graph-neural-networks-2106.06307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survey-of-image-based-graph-neural-networks-2106.06307"/></url>
<url><loc>https://scifaro.com/en/abs/the-complexity-of-sparse-tensor-pca-2106.06308</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-complexity-of-sparse-tensor-pca-2106.06308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-complexity-of-sparse-tensor-pca-2106.06308"/></url>
<url><loc>https://scifaro.com/en/abs/a-coupled-design-of-exploiting-record-similarity-for-practical-vertical-federated-learning-2106.06312</loc><lastmod>2023-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-coupled-design-of-exploiting-record-similarity-for-practical-vertical-federated-learning-2106.06312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-coupled-design-of-exploiting-record-similarity-for-practical-vertical-federated-learning-2106.06312"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-risk-adaptation-in-distributional-reinforcement-learning-2106.06317</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-risk-adaptation-in-distributional-reinforcement-learning-2106.06317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-risk-adaptation-in-distributional-reinforcement-learning-2106.06317"/></url>
<url><loc>https://scifaro.com/en/abs/tohan-a-one-step-approach-towards-few-shot-hypothesis-adaptation-2106.06326</loc><lastmod>2022-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tohan-a-one-step-approach-towards-few-shot-hypothesis-adaptation-2106.06326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tohan-a-one-step-approach-towards-few-shot-hypothesis-adaptation-2106.06326"/></url>
<url><loc>https://scifaro.com/en/abs/invariant-information-bottleneck-for-domain-generalization-2106.06333</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariant-information-bottleneck-for-domain-generalization-2106.06333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariant-information-bottleneck-for-domain-generalization-2106.06333"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-approximate-and-unrolled-dictionary-learning-for-pattern-recovery-2106.06338</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-approximate-and-unrolled-dictionary-learning-for-pattern-recovery-2106.06338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-approximate-and-unrolled-dictionary-learning-for-pattern-recovery-2106.06338"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-optimal-transport-modeling-of-population-dynamics-2106.06345</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-optimal-transport-modeling-of-population-dynamics-2106.06345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-optimal-transport-modeling-of-population-dynamics-2106.06345"/></url>
<url><loc>https://scifaro.com/en/abs/nonmyopic-multifidelity-active-search-2106.06356</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonmyopic-multifidelity-active-search-2106.06356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonmyopic-multifidelity-active-search-2106.06356"/></url>
<url><loc>https://scifaro.com/en/abs/courteous-behavior-of-automated-vehicles-at-unsignalized-intersections-via-reinforcement-learning-2106.06369</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/courteous-behavior-of-automated-vehicles-at-unsignalized-intersections-via-reinforcement-learning-2106.06369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/courteous-behavior-of-automated-vehicles-at-unsignalized-intersections-via-reinforcement-learning-2106.06369"/></url>
<url><loc>https://scifaro.com/en/abs/deep-conditional-gaussian-mixture-model-for-constrained-clustering-2106.06385</loc><lastmod>2022-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-conditional-gaussian-mixture-model-for-constrained-clustering-2106.06385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-conditional-gaussian-mixture-model-for-constrained-clustering-2106.06385"/></url>
<url><loc>https://scifaro.com/en/abs/decoupled-greedy-learning-of-cnns-for-synchronous-and-asynchronous-distributed-learning-2106.06401</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupled-greedy-learning-of-cnns-for-synchronous-and-asynchronous-distributed-learning-2106.06401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupled-greedy-learning-of-cnns-for-synchronous-and-asynchronous-distributed-learning-2106.06401"/></url>
<url><loc>https://scifaro.com/en/abs/what-can-knowledge-bring-to-machine-learning-a-survey-of-low-shot-learning-for-structured-data-2106.06410</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-can-knowledge-bring-to-machine-learning-a-survey-of-low-shot-learning-for-structured-data-2106.06410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-can-knowledge-bring-to-machine-learning-a-survey-of-low-shot-learning-for-structured-data-2106.06410"/></url>
<url><loc>https://scifaro.com/en/abs/neural-symbolic-regression-that-scales-2106.06427</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-symbolic-regression-that-scales-2106.06427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-symbolic-regression-that-scales-2106.06427"/></url>
<url><loc>https://scifaro.com/en/abs/offline-reinforcement-learning-as-anti-exploration-2106.06431</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-reinforcement-learning-as-anti-exploration-2106.06431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-reinforcement-learning-as-anti-exploration-2106.06431"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-tutorial-with-python-examples-2106.06437</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-tutorial-with-python-examples-2106.06437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-tutorial-with-python-examples-2106.06437"/></url>
<url><loc>https://scifaro.com/en/abs/coded-invnet-for-resilient-prediction-serving-systems-2106.06445</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coded-invnet-for-resilient-prediction-serving-systems-2106.06445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coded-invnet-for-resilient-prediction-serving-systems-2106.06445"/></url>
<url><loc>https://scifaro.com/en/abs/keyframe-focused-visual-imitation-learning-2106.06452</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/keyframe-focused-visual-imitation-learning-2106.06452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/keyframe-focused-visual-imitation-learning-2106.06452"/></url>
<url><loc>https://scifaro.com/en/abs/locally-sparse-neural-networks-for-tabular-biomedical-data-2106.06468</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-sparse-neural-networks-for-tabular-biomedical-data-2106.06468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-sparse-neural-networks-for-tabular-biomedical-data-2106.06468"/></url>
<url><loc>https://scifaro.com/en/abs/topological-detection-of-trojaned-neural-networks-2106.06469</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-detection-of-trojaned-neural-networks-2106.06469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-detection-of-trojaned-neural-networks-2106.06469"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-the-travel-and-charging-behavior-of-electric-vehicles-a-data-driven-approach-2106.06475</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-the-travel-and-charging-behavior-of-electric-vehicles-a-data-driven-approach-2106.06475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-the-travel-and-charging-behavior-of-electric-vehicles-a-data-driven-approach-2106.06475"/></url>
<url><loc>https://scifaro.com/en/abs/towards-costless-model-selection-in-contextual-bandits-a-bias-variance-perspective-2106.06483</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-costless-model-selection-in-contextual-bandits-a-bias-variance-perspective-2106.06483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-costless-model-selection-in-contextual-bandits-a-bias-variance-perspective-2106.06483"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-cognitive-sensor-node-for-ecg-monitoring-in-the-internet-of-medical-things-2106.06498</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-cognitive-sensor-node-for-ecg-monitoring-in-the-internet-of-medical-things-2106.06498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-cognitive-sensor-node-for-ecg-monitoring-in-the-internet-of-medical-things-2106.06498"/></url>
<url><loc>https://scifaro.com/en/abs/policy-gradient-bayesian-robust-optimization-for-imitation-learning-2106.06499</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-gradient-bayesian-robust-optimization-for-imitation-learning-2106.06499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-gradient-bayesian-robust-optimization-for-imitation-learning-2106.06499"/></url>
<url><loc>https://scifaro.com/en/abs/preferential-temporal-difference-learning-2106.06508</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preferential-temporal-difference-learning-2106.06508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preferential-temporal-difference-learning-2106.06508"/></url>
<url><loc>https://scifaro.com/en/abs/probability-paths-and-the-structure-of-predictions-over-time-2106.06515</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probability-paths-and-the-structure-of-predictions-over-time-2106.06515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probability-paths-and-the-structure-of-predictions-over-time-2106.06515"/></url>
<url><loc>https://scifaro.com/en/abs/wax-ml-a-python-library-for-machine-learning-and-feedback-loops-on-streaming-data-2106.06524</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wax-ml-a-python-library-for-machine-learning-and-feedback-loops-on-streaming-data-2106.06524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wax-ml-a-python-library-for-machine-learning-and-feedback-loops-on-streaming-data-2106.06524"/></url>
<url><loc>https://scifaro.com/en/abs/online-continual-adaptation-with-active-self-training-2106.06526</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-continual-adaptation-with-active-self-training-2106.06526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-continual-adaptation-with-active-self-training-2106.06526"/></url>
<url><loc>https://scifaro.com/en/abs/the-limitations-of-large-width-in-neural-networks-a-deep-gaussian-process-perspective-2106.06529</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-limitations-of-large-width-in-neural-networks-a-deep-gaussian-process-perspective-2106.06529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-limitations-of-large-width-in-neural-networks-a-deep-gaussian-process-perspective-2106.06529"/></url>
<url><loc>https://scifaro.com/en/abs/label-noise-sgd-provably-prefers-flat-global-minimizers-2106.06530</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-noise-sgd-provably-prefers-flat-global-minimizers-2106.06530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-noise-sgd-provably-prefers-flat-global-minimizers-2106.06530"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-neural-hidden-markov-models-with-a-continuous-latent-state-space-2106.06536</loc><lastmod>2021-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-neural-hidden-markov-models-with-a-continuous-latent-state-space-2106.06536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-neural-hidden-markov-models-with-a-continuous-latent-state-space-2106.06536"/></url>
<url><loc>https://scifaro.com/en/abs/robust-knowledge-graph-completion-with-stacked-convolutions-and-a-student-re-ranking-network-2106.06555</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-knowledge-graph-completion-with-stacked-convolutions-and-a-student-re-ranking-network-2106.06555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-knowledge-graph-completion-with-stacked-convolutions-and-a-student-re-ranking-network-2106.06555"/></url>
<url><loc>https://scifaro.com/en/abs/auto-nba-efficient-and-effective-search-over-the-joint-space-of-networks-bitwidths-and-accelerators-2106.06575</loc><lastmod>2025-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-nba-efficient-and-effective-search-over-the-joint-space-of-networks-bitwidths-and-accelerators-2106.06575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-nba-efficient-and-effective-search-over-the-joint-space-of-networks-bitwidths-and-accelerators-2106.06575"/></url>
<url><loc>https://scifaro.com/en/abs/a3c-s-automated-agent-accelerator-co-search-towards-efficient-deep-reinforcement-learning-2106.06577</loc><lastmod>2025-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a3c-s-automated-agent-accelerator-co-search-towards-efficient-deep-reinforcement-learning-2106.06577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a3c-s-automated-agent-accelerator-co-search-towards-efficient-deep-reinforcement-learning-2106.06577"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-spiking-neural-networks-2106.06579</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-spiking-neural-networks-2106.06579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-spiking-neural-networks-2106.06579"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-the-limit-of-graph-neural-networks-by-improving-the-assortativity-of-graphs-with-local-mixing-patterns-2106.06586</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-the-limit-of-graph-neural-networks-by-improving-the-assortativity-of-graphs-with-local-mixing-patterns-2106.06586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-the-limit-of-graph-neural-networks-by-improving-the-assortativity-of-graphs-with-local-mixing-patterns-2106.06586"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-the-roles-of-curation-data-augmentation-and-the-prior-in-the-cold-posterior-effect-2106.06596</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-the-roles-of-curation-data-augmentation-and-the-prior-in-the-cold-posterior-effect-2106.06596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-the-roles-of-curation-data-augmentation-and-the-prior-in-the-cold-posterior-effect-2106.06596"/></url>
<url><loc>https://scifaro.com/en/abs/break-it-fix-it-unsupervised-learning-for-program-repair-2106.06600</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/break-it-fix-it-unsupervised-learning-for-program-repair-2106.06600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/break-it-fix-it-unsupervised-learning-for-program-repair-2106.06600"/></url>
<url><loc>https://scifaro.com/en/abs/a-shuffling-framework-for-local-differential-privacy-2106.06603</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-shuffling-framework-for-local-differential-privacy-2106.06603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-shuffling-framework-for-local-differential-privacy-2106.06603"/></url>
<url><loc>https://scifaro.com/en/abs/invariance-principle-meets-information-bottleneck-for-out-of-distribution-generalization-2106.06607</loc><lastmod>2022-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariance-principle-meets-information-bottleneck-for-out-of-distribution-generalization-2106.06607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariance-principle-meets-information-bottleneck-for-out-of-distribution-generalization-2106.06607"/></url>
<url><loc>https://scifaro.com/en/abs/scalars-are-universal-equivariant-machine-learning-structured-like-classical-physics-2106.06610</loc><lastmod>2023-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalars-are-universal-equivariant-machine-learning-structured-like-classical-physics-2106.06610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalars-are-universal-equivariant-machine-learning-structured-like-classical-physics-2106.06610"/></url>
<url><loc>https://scifaro.com/en/abs/precise-characterization-of-the-prior-predictive-distribution-of-deep-relu-networks-2106.06615</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/precise-characterization-of-the-prior-predictive-distribution-of-deep-relu-networks-2106.06615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/precise-characterization-of-the-prior-predictive-distribution-of-deep-relu-networks-2106.06615"/></url>
<url><loc>https://scifaro.com/en/abs/learning-competitive-equilibria-in-exchange-economies-with-bandit-feedback-2106.06616</loc><lastmod>2022-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-competitive-equilibria-in-exchange-economies-with-bandit-feedback-2106.06616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-competitive-equilibria-in-exchange-economies-with-bandit-feedback-2106.06616"/></url>
<url><loc>https://scifaro.com/en/abs/robust-representation-learning-via-perceptual-similarity-metrics-2106.06620</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-representation-learning-via-perceptual-similarity-metrics-2106.06620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-representation-learning-via-perceptual-similarity-metrics-2106.06620"/></url>
<url><loc>https://scifaro.com/en/abs/piecewise-constant-neural-odes-2106.06621</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/piecewise-constant-neural-odes-2106.06621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/piecewise-constant-neural-odes-2106.06621"/></url>
<url><loc>https://scifaro.com/en/abs/relaxing-local-robustness-2106.06624</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relaxing-local-robustness-2106.06624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relaxing-local-robustness-2106.06624"/></url>
<url><loc>https://scifaro.com/en/abs/corruption-robust-offline-reinforcement-learning-2106.06630</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/corruption-robust-offline-reinforcement-learning-2106.06630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/corruption-robust-offline-reinforcement-learning-2106.06630"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-counterfactual-explanations-in-tree-ensembles-2106.06631</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-counterfactual-explanations-in-tree-ensembles-2106.06631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-counterfactual-explanations-in-tree-ensembles-2106.06631"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-buffered-asynchronous-aggregation-2106.06639</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-buffered-asynchronous-aggregation-2106.06639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-buffered-asynchronous-aggregation-2106.06639"/></url>
<url><loc>https://scifaro.com/en/abs/provable-adaptation-across-multiway-domains-via-representation-learning-2106.06657</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-adaptation-across-multiway-domains-via-representation-learning-2106.06657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-adaptation-across-multiway-domains-via-representation-learning-2106.06657"/></url>
<url><loc>https://scifaro.com/en/abs/equivariant-networks-for-pixelized-spheres-2106.06662</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivariant-networks-for-pixelized-spheres-2106.06662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivariant-networks-for-pixelized-spheres-2106.06662"/></url>
<url><loc>https://scifaro.com/en/abs/tdgia-effective-injection-attacks-on-graph-neural-networks-2106.06663</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tdgia-effective-injection-attacks-on-graph-neural-networks-2106.06663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tdgia-effective-injection-attacks-on-graph-neural-networks-2106.06663"/></url>
<url><loc>https://scifaro.com/en/abs/learnable-hypergraph-laplacian-for-hypergraph-learning-2106.06666</loc><lastmod>2022-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learnable-hypergraph-laplacian-for-hypergraph-learning-2106.06666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learnable-hypergraph-laplacian-for-hypergraph-learning-2106.06666"/></url>
<url><loc>https://scifaro.com/en/abs/cartl-cooperative-adversarially-robust-transfer-learning-2106.06667</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cartl-cooperative-adversarially-robust-transfer-learning-2106.06667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cartl-cooperative-adversarially-robust-transfer-learning-2106.06667"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-active-regression-2106.06676</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-active-regression-2106.06676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-active-regression-2106.06676"/></url>
<url><loc>https://scifaro.com/en/abs/markov-decision-processes-with-long-term-average-constraints-2106.06680</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-decision-processes-with-long-term-average-constraints-2106.06680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-decision-processes-with-long-term-average-constraints-2106.06680"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-via-fisher-rao-regularization-2106.06685</loc><lastmod>2022-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-via-fisher-rao-regularization-2106.06685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-via-fisher-rao-regularization-2106.06685"/></url>
<url><loc>https://scifaro.com/en/abs/brain2depth-lightweight-cnn-model-for-classification-of-cognitive-states-from-eeg-recordings-2106.06688</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/brain2depth-lightweight-cnn-model-for-classification-of-cognitive-states-from-eeg-recordings-2106.06688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/brain2depth-lightweight-cnn-model-for-classification-of-cognitive-states-from-eeg-recordings-2106.06688"/></url>
<url><loc>https://scifaro.com/en/abs/skiing-on-simplices-kernel-interpolation-on-the-permutohedral-lattice-for-scalable-gaussian-processes-2106.06695</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skiing-on-simplices-kernel-interpolation-on-the-permutohedral-lattice-for-scalable-gaussian-processes-2106.06695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skiing-on-simplices-kernel-interpolation-on-the-permutohedral-lattice-for-scalable-gaussian-processes-2106.06695"/></url>
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<url><loc>https://scifaro.com/en/abs/simple-combinatorial-algorithms-for-combinatorial-bandits-corruptions-and-approximations-2106.06712</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-combinatorial-algorithms-for-combinatorial-bandits-corruptions-and-approximations-2106.06712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-combinatorial-algorithms-for-combinatorial-bandits-corruptions-and-approximations-2106.06712"/></url>
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<url><loc>https://scifaro.com/en/abs/towards-a-privacy-preserving-deep-learning-based-network-intrusion-detection-in-data-distribution-services-2106.06765</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-privacy-preserving-deep-learning-based-network-intrusion-detection-in-data-distribution-services-2106.06765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-privacy-preserving-deep-learning-based-network-intrusion-detection-in-data-distribution-services-2106.06765"/></url>
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<url><loc>https://scifaro.com/en/abs/model-free-reinforcement-learning-for-branching-markov-decision-processes-2106.06777</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-reinforcement-learning-for-branching-markov-decision-processes-2106.06777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-reinforcement-learning-for-branching-markov-decision-processes-2106.06777"/></url>
<url><loc>https://scifaro.com/en/abs/learngene-from-open-world-to-your-learning-task-2106.06788</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learngene-from-open-world-to-your-learning-task-2106.06788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learngene-from-open-world-to-your-learning-task-2106.06788"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-consolidation-based-class-incremental-online-learning-with-limited-data-2106.06795</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-consolidation-based-class-incremental-online-learning-with-limited-data-2106.06795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-consolidation-based-class-incremental-online-learning-with-limited-data-2106.06795"/></url>
<url><loc>https://scifaro.com/en/abs/joint-client-scheduling-and-resource-allocation-under-channel-uncertainty-in-federated-learning-2106.06796</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-client-scheduling-and-resource-allocation-under-channel-uncertainty-in-federated-learning-2106.06796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-client-scheduling-and-resource-allocation-under-channel-uncertainty-in-federated-learning-2106.06796"/></url>
<url><loc>https://scifaro.com/en/abs/zero-cost-operation-scoring-in-differentiable-architecture-search-2106.06799</loc><lastmod>2023-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-cost-operation-scoring-in-differentiable-architecture-search-2106.06799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-cost-operation-scoring-in-differentiable-architecture-search-2106.06799"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-the-conceptual-error-in-dimensionality-reduction-2106.06815</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-the-conceptual-error-in-dimensionality-reduction-2106.06815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-the-conceptual-error-in-dimensionality-reduction-2106.06815"/></url>
<url><loc>https://scifaro.com/en/abs/d2c-diffusion-denoising-models-for-few-shot-conditional-generation-2106.06819</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/d2c-diffusion-denoising-models-for-few-shot-conditional-generation-2106.06819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/d2c-diffusion-denoising-models-for-few-shot-conditional-generation-2106.06819"/></url>
<url><loc>https://scifaro.com/en/abs/intelligent-vision-based-wear-forecasting-on-surfaces-of-machine-tool-elements-2106.06839</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intelligent-vision-based-wear-forecasting-on-surfaces-of-machine-tool-elements-2106.06839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intelligent-vision-based-wear-forecasting-on-surfaces-of-machine-tool-elements-2106.06839"/></url>
<url><loc>https://scifaro.com/en/abs/recomposing-the-reinforcement-learning-building-blocks-with-hypernetworks-2106.06842</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recomposing-the-reinforcement-learning-building-blocks-with-hypernetworks-2106.06842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recomposing-the-reinforcement-learning-building-blocks-with-hypernetworks-2106.06842"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-on-non-iid-data-a-survey-2106.06843</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-on-non-iid-data-a-survey-2106.06843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-on-non-iid-data-a-survey-2106.06843"/></url>
<url><loc>https://scifaro.com/en/abs/harmonization-with-flow-based-causal-inference-2106.06845</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harmonization-with-flow-based-causal-inference-2106.06845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harmonization-with-flow-based-causal-inference-2106.06845"/></url>
<url><loc>https://scifaro.com/en/abs/guaranteed-fixed-confidence-best-arm-identification-in-multi-armed-bandits-simple-sequential-elimination-algorithms-2106.06848</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guaranteed-fixed-confidence-best-arm-identification-in-multi-armed-bandits-simple-sequential-elimination-algorithms-2106.06848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guaranteed-fixed-confidence-best-arm-identification-in-multi-armed-bandits-simple-sequential-elimination-algorithms-2106.06848"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-reinforcement-learning-approach-to-marginalized-importance-sampling-with-the-successor-representation-2106.06854</loc><lastmod>2023-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-reinforcement-learning-approach-to-marginalized-importance-sampling-with-the-successor-representation-2106.06854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-reinforcement-learning-approach-to-marginalized-importance-sampling-with-the-successor-representation-2106.06854"/></url>
<url><loc>https://scifaro.com/en/abs/a-minimalist-approach-to-offline-reinforcement-learning-2106.06860</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-minimalist-approach-to-offline-reinforcement-learning-2106.06860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-minimalist-approach-to-offline-reinforcement-learning-2106.06860"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-forecasting-of-global-solar-irradiance-with-incomplete-data-2106.06868</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-forecasting-of-global-solar-irradiance-with-incomplete-data-2106.06868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-forecasting-of-global-solar-irradiance-with-incomplete-data-2106.06868"/></url>
<url><loc>https://scifaro.com/en/abs/robust-graph-meta-learning-for-weakly-supervised-few-shot-node-classification-2106.06873</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-graph-meta-learning-for-weakly-supervised-few-shot-node-classification-2106.06873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-graph-meta-learning-for-weakly-supervised-few-shot-node-classification-2106.06873"/></url>
<url><loc>https://scifaro.com/en/abs/random-shuffling-beats-sgd-only-after-many-epochs-on-ill-conditioned-problems-2106.06880</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-shuffling-beats-sgd-only-after-many-epochs-on-ill-conditioned-problems-2106.06880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-shuffling-beats-sgd-only-after-many-epochs-on-ill-conditioned-problems-2106.06880"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-optimism-and-delay-2106.06885</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-optimism-and-delay-2106.06885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-optimism-and-delay-2106.06885"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dissipative-dynamics-in-chaotic-systems-2106.06898</loc><lastmod>2022-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dissipative-dynamics-in-chaotic-systems-2106.06898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dissipative-dynamics-in-chaotic-systems-2106.06898"/></url>
<url><loc>https://scifaro.com/en/abs/non-transferable-learning-a-new-approach-for-model-ownership-verification-and-applicability-authorization-2106.06916</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-transferable-learning-a-new-approach-for-model-ownership-verification-and-applicability-authorization-2106.06916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-transferable-learning-a-new-approach-for-model-ownership-verification-and-applicability-authorization-2106.06916"/></url>
<url><loc>https://scifaro.com/en/abs/atras-adversarially-trained-robust-architecture-search-2106.06917</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/atras-adversarially-trained-robust-architecture-search-2106.06917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/atras-adversarially-trained-robust-architecture-search-2106.06917"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-federated-learning-using-dynamic-model-pruning-and-adaptive-gradient-2106.06921</loc><lastmod>2023-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-federated-learning-using-dynamic-model-pruning-and-adaptive-gradient-2106.06921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-federated-learning-using-dynamic-model-pruning-and-adaptive-gradient-2106.06921"/></url>
<url><loc>https://scifaro.com/en/abs/bellman-consistent-pessimism-for-offline-reinforcement-learning-2106.06926</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bellman-consistent-pessimism-for-offline-reinforcement-learning-2106.06926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bellman-consistent-pessimism-for-offline-reinforcement-learning-2106.06926"/></url>
<url><loc>https://scifaro.com/en/abs/neural-bellman-ford-networks-a-general-graph-neural-network-framework-for-link-prediction-2106.06935</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-bellman-ford-networks-a-general-graph-neural-network-framework-for-link-prediction-2106.06935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-bellman-ford-networks-a-general-graph-neural-network-framework-for-link-prediction-2106.06935"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-randomized-smoothing-with-variance-reduced-classifiers-2106.06946</loc><lastmod>2022-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-randomized-smoothing-with-variance-reduced-classifiers-2106.06946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-randomized-smoothing-with-variance-reduced-classifiers-2106.06946"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-network-based-anomaly-detection-in-multivariate-time-series-2106.06947</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-network-based-anomaly-detection-in-multivariate-time-series-2106.06947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-network-based-anomaly-detection-in-multivariate-time-series-2106.06947"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-iterative-magnitude-pruning-why-lottery-tickets-win-2106.06955</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-iterative-magnitude-pruning-why-lottery-tickets-win-2106.06955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-iterative-magnitude-pruning-why-lottery-tickets-win-2106.06955"/></url>
<url><loc>https://scifaro.com/en/abs/autoscore-survival-developing-interpretable-machine-learning-based-time-to-event-scores-with-right-censored-survival-data-2106.06957</loc><lastmod>2024-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoscore-survival-developing-interpretable-machine-learning-based-time-to-event-scores-with-right-censored-survival-data-2106.06957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoscore-survival-developing-interpretable-machine-learning-based-time-to-event-scores-with-right-censored-survival-data-2106.06957"/></url>
<url><loc>https://scifaro.com/en/abs/game-of-gans-game-theoretical-models-for-generative-adversarial-networks-2106.06976</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/game-of-gans-game-theoretical-models-for-generative-adversarial-networks-2106.06976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/game-of-gans-game-theoretical-models-for-generative-adversarial-networks-2106.06976"/></url>
<url><loc>https://scifaro.com/en/abs/thinking-like-transformers-2106.06981</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thinking-like-transformers-2106.06981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thinking-like-transformers-2106.06981"/></url>
<url><loc>https://scifaro.com/en/abs/two-way-spectrum-pursuit-for-cur-decomposition-and-its-application-in-joint-column-row-subset-selection-2106.06983</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-way-spectrum-pursuit-for-cur-decomposition-and-its-application-in-joint-column-row-subset-selection-2106.06983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-way-spectrum-pursuit-for-cur-decomposition-and-its-application-in-joint-column-row-subset-selection-2106.06983"/></url>
<url><loc>https://scifaro.com/en/abs/a-free-lunch-from-ann-towards-efficient-accurate-spiking-neural-networks-calibration-2106.06984</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-free-lunch-from-ann-towards-efficient-accurate-spiking-neural-networks-calibration-2106.06984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-free-lunch-from-ann-towards-efficient-accurate-spiking-neural-networks-calibration-2106.06984"/></url>
<url><loc>https://scifaro.com/en/abs/the-deformer-an-order-agnostic-distribution-estimating-transformer-2106.06989</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-deformer-an-order-agnostic-distribution-estimating-transformer-2106.06989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-deformer-an-order-agnostic-distribution-estimating-transformer-2106.06989"/></url>
<url><loc>https://scifaro.com/en/abs/boolnet-minimizing-the-energy-consumption-of-binary-neural-networks-2106.06991</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boolnet-minimizing-the-energy-consumption-of-binary-neural-networks-2106.06991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boolnet-minimizing-the-energy-consumption-of-binary-neural-networks-2106.06991"/></url>
<url><loc>https://scifaro.com/en/abs/post-hoc-loss-calibration-for-bayesian-neural-networks-2106.06997</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-hoc-loss-calibration-for-bayesian-neural-networks-2106.06997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-hoc-loss-calibration-for-bayesian-neural-networks-2106.06997"/></url>
<url><loc>https://scifaro.com/en/abs/xconv-low-memory-stochastic-backpropagation-for-convolutional-layers-2106.06998</loc><lastmod>2026-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xconv-low-memory-stochastic-backpropagation-for-convolutional-layers-2106.06998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xconv-low-memory-stochastic-backpropagation-for-convolutional-layers-2106.06998"/></url>
<url><loc>https://scifaro.com/en/abs/category-theory-in-machine-learning-2106.07032</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/category-theory-in-machine-learning-2106.07032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/category-theory-in-machine-learning-2106.07032"/></url>
<url><loc>https://scifaro.com/en/abs/an-extended-multi-model-regression-approach-for-compressive-strength-prediction-and-optimization-of-a-concrete-mixture-2106.07034</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-extended-multi-model-regression-approach-for-compressive-strength-prediction-and-optimization-of-a-concrete-mixture-2106.07034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-extended-multi-model-regression-approach-for-compressive-strength-prediction-and-optimization-of-a-concrete-mixture-2106.07034"/></url>
<url><loc>https://scifaro.com/en/abs/deep-bayesian-unsupervised-lifelong-learning-2106.07035</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-bayesian-unsupervised-lifelong-learning-2106.07035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-bayesian-unsupervised-lifelong-learning-2106.07035"/></url>
<url><loc>https://scifaro.com/en/abs/correcting-exposure-bias-for-link-recommendation-2106.07041</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correcting-exposure-bias-for-link-recommendation-2106.07041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correcting-exposure-bias-for-link-recommendation-2106.07041"/></url>
<url><loc>https://scifaro.com/en/abs/towards-tight-bounds-on-the-sample-complexity-of-average-reward-mdps-2106.07046</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-tight-bounds-on-the-sample-complexity-of-average-reward-mdps-2106.07046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-tight-bounds-on-the-sample-complexity-of-average-reward-mdps-2106.07046"/></url>
<url><loc>https://scifaro.com/en/abs/target-model-agnostic-adversarial-attacks-with-query-budgets-on-language-understanding-models-2106.07047</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/target-model-agnostic-adversarial-attacks-with-query-budgets-on-language-understanding-models-2106.07047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/target-model-agnostic-adversarial-attacks-with-query-budgets-on-language-understanding-models-2106.07047"/></url>
<url><loc>https://scifaro.com/en/abs/wide-mean-field-variational-bayesian-neural-networks-ignore-the-data-2106.07052</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wide-mean-field-variational-bayesian-neural-networks-ignore-the-data-2106.07052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wide-mean-field-variational-bayesian-neural-networks-ignore-the-data-2106.07052"/></url>
<url><loc>https://scifaro.com/en/abs/faircanary-rapid-continuous-explainable-fairness-2106.07057</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faircanary-rapid-continuous-explainable-fairness-2106.07057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faircanary-rapid-continuous-explainable-fairness-2106.07057"/></url>
<url><loc>https://scifaro.com/en/abs/atlas-based-representation-and-metric-learning-on-manifolds-2106.07062</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/atlas-based-representation-and-metric-learning-on-manifolds-2106.07062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/atlas-based-representation-and-metric-learning-on-manifolds-2106.07062"/></url>
<url><loc>https://scifaro.com/en/abs/semi-verified-pac-learning-from-the-crowd-2106.07080</loc><lastmod>2023-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-verified-pac-learning-from-the-crowd-2106.07080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-verified-pac-learning-from-the-crowd-2106.07080"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-differentially-private-federated-learning-on-non-lipschitz-objectives-and-with-normalized-client-updates-2106.07094</loc><lastmod>2022-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-differentially-private-federated-learning-on-non-lipschitz-objectives-and-with-normalized-client-updates-2106.07094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-differentially-private-federated-learning-on-non-lipschitz-objectives-and-with-normalized-client-updates-2106.07094"/></url>
<url><loc>https://scifaro.com/en/abs/alignment-and-comparison-of-directed-networks-via-transition-couplings-of-random-walks-2106.07106</loc><lastmod>2024-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alignment-and-comparison-of-directed-networks-via-transition-couplings-of-random-walks-2106.07106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alignment-and-comparison-of-directed-networks-via-transition-couplings-of-random-walks-2106.07106"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-latent-correlation-based-multiview-learning-and-self-supervision-an-identifiability-perspective-2106.07115</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-latent-correlation-based-multiview-learning-and-self-supervision-an-identifiability-perspective-2106.07115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-latent-correlation-based-multiview-learning-and-self-supervision-an-identifiability-perspective-2106.07115"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-methods-for-private-synthetic-data-unifying-framework-and-new-methods-2106.07153</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-methods-for-private-synthetic-data-unifying-framework-and-new-methods-2106.07153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-methods-for-private-synthetic-data-unifying-framework-and-new-methods-2106.07153"/></url>
<url><loc>https://scifaro.com/en/abs/cfedavg-achieving-efficient-communication-and-fast-convergence-in-non-iid-federated-learning-2106.07155</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cfedavg-achieving-efficient-communication-and-fast-convergence-in-non-iid-federated-learning-2106.07155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cfedavg-achieving-efficient-communication-and-fast-convergence-in-non-iid-federated-learning-2106.07155"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-predictive-coding-for-model-based-planning-in-latent-space-2106.07156</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-predictive-coding-for-model-based-planning-in-latent-space-2106.07156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-predictive-coding-for-model-based-planning-in-latent-space-2106.07156"/></url>
<url><loc>https://scifaro.com/en/abs/goal-aware-neural-sat-solver-2106.07162</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/goal-aware-neural-sat-solver-2106.07162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/goal-aware-neural-sat-solver-2106.07162"/></url>
<url><loc>https://scifaro.com/en/abs/examining-and-combating-spurious-features-under-distribution-shift-2106.07171</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/examining-and-combating-spurious-features-under-distribution-shift-2106.07171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/examining-and-combating-spurious-features-under-distribution-shift-2106.07171"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-combine-per-example-solutions-for-neural-program-synthesis-2106.07175</loc><lastmod>2023-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-combine-per-example-solutions-for-neural-program-synthesis-2106.07175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-combine-per-example-solutions-for-neural-program-synthesis-2106.07175"/></url>
<url><loc>https://scifaro.com/en/abs/a-comprehensive-survey-on-graph-anomaly-detection-with-deep-learning-2106.07178</loc><lastmod>2022-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comprehensive-survey-on-graph-anomaly-detection-with-deep-learning-2106.07178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comprehensive-survey-on-graph-anomaly-detection-with-deep-learning-2106.07178"/></url>
<url><loc>https://scifaro.com/en/abs/crowdsourcing-via-annotator-co-occurrence-imputation-and-provable-symmetric-nonnegative-matrix-factorization-2106.07193</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crowdsourcing-via-annotator-co-occurrence-imputation-and-provable-symmetric-nonnegative-matrix-factorization-2106.07193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crowdsourcing-via-annotator-co-occurrence-imputation-and-provable-symmetric-nonnegative-matrix-factorization-2106.07193"/></url>
<url><loc>https://scifaro.com/en/abs/dags-with-no-curl-an-efficient-dag-structure-learning-approach-2106.07197</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dags-with-no-curl-an-efficient-dag-structure-learning-approach-2106.07197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dags-with-no-curl-an-efficient-dag-structure-learning-approach-2106.07197"/></url>
<url><loc>https://scifaro.com/en/abs/online-sub-sampling-for-reinforcement-learning-with-general-function-approximation-2106.07203</loc><lastmod>2023-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-sub-sampling-for-reinforcement-learning-with-general-function-approximation-2106.07203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-sub-sampling-for-reinforcement-learning-with-general-function-approximation-2106.07203"/></url>
<url><loc>https://scifaro.com/en/abs/backdoor-learning-curves-explaining-backdoor-poisoning-beyond-influence-functions-2106.07214</loc><lastmod>2024-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backdoor-learning-curves-explaining-backdoor-poisoning-beyond-influence-functions-2106.07214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backdoor-learning-curves-explaining-backdoor-poisoning-beyond-influence-functions-2106.07214"/></url>
<url><loc>https://scifaro.com/en/abs/physics-aware-downsampling-with-deep-learning-for-scalable-flood-modeling-2106.07218</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-aware-downsampling-with-deep-learning-for-scalable-flood-modeling-2106.07218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-aware-downsampling-with-deep-learning-for-scalable-flood-modeling-2106.07218"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-machine-learning-with-fully-homomorphic-encryption-for-deep-neural-network-2106.07229</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-machine-learning-with-fully-homomorphic-encryption-for-deep-neural-network-2106.07229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-machine-learning-with-fully-homomorphic-encryption-for-deep-neural-network-2106.07229"/></url>
<url><loc>https://scifaro.com/en/abs/fair-clustering-under-a-bounded-cost-2106.07239</loc><lastmod>2023-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-clustering-under-a-bounded-cost-2106.07239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-clustering-under-a-bounded-cost-2106.07239"/></url>
<url><loc>https://scifaro.com/en/abs/unified-interpretation-of-softmax-cross-entropy-and-negative-sampling-with-case-study-for-knowledge-graph-embedding-2106.07250</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-interpretation-of-softmax-cross-entropy-and-negative-sampling-with-case-study-for-knowledge-graph-embedding-2106.07250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-interpretation-of-softmax-cross-entropy-and-negative-sampling-with-case-study-for-knowledge-graph-embedding-2106.07250"/></url>
<url><loc>https://scifaro.com/en/abs/federated-myopic-community-detection-with-one-shot-communication-2106.07255</loc><lastmod>2022-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-myopic-community-detection-with-one-shot-communication-2106.07255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-myopic-community-detection-with-one-shot-communication-2106.07255"/></url>
<url><loc>https://scifaro.com/en/abs/raptor-end-to-end-risk-aware-mdp-planning-and-policy-learning-by-backpropagation-2106.07260</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/raptor-end-to-end-risk-aware-mdp-planning-and-policy-learning-by-backpropagation-2106.07260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/raptor-end-to-end-risk-aware-mdp-planning-and-policy-learning-by-backpropagation-2106.07260"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-dual-branched-message-passing-neural-network-for-quantum-mechanical-property-prediction-with-molecular-conformation-2106.07273</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-dual-branched-message-passing-neural-network-for-quantum-mechanical-property-prediction-with-molecular-conformation-2106.07273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-dual-branched-message-passing-neural-network-for-quantum-mechanical-property-prediction-with-molecular-conformation-2106.07273"/></url>
<url><loc>https://scifaro.com/en/abs/which-mutual-information-representation-learning-objectives-are-sufficient-for-control-2106.07278</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-mutual-information-representation-learning-objectives-are-sufficient-for-control-2106.07278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-mutual-information-representation-learning-objectives-are-sufficient-for-control-2106.07278"/></url>
<url><loc>https://scifaro.com/en/abs/data-science-methodologies-current-challenges-and-future-approaches-2106.07287</loc><lastmod>2022-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-science-methodologies-current-challenges-and-future-approaches-2106.07287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-science-methodologies-current-challenges-and-future-approaches-2106.07287"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-personalized-federated-learning-for-min-max-problems-2106.07289</loc><lastmod>2024-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-personalized-federated-learning-for-min-max-problems-2106.07289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-personalized-federated-learning-for-min-max-problems-2106.07289"/></url>
<url><loc>https://scifaro.com/en/abs/rrules-an-improvement-of-the-rules-rule-based-classifier-2106.07296</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rrules-an-improvement-of-the-rules-rule-based-classifier-2106.07296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rrules-an-improvement-of-the-rules-rule-based-classifier-2106.07296"/></url>
<url><loc>https://scifaro.com/en/abs/node-classification-meets-link-prediction-on-knowledge-graphs-2106.07297</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-classification-meets-link-prediction-on-knowledge-graphs-2106.07297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-classification-meets-link-prediction-on-knowledge-graphs-2106.07297"/></url>
<url><loc>https://scifaro.com/en/abs/innformant-boundary-samples-as-telltale-watermarks-2106.07303</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/innformant-boundary-samples-as-telltale-watermarks-2106.07303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/innformant-boundary-samples-as-telltale-watermarks-2106.07303"/></url>
<url><loc>https://scifaro.com/en/abs/constraining-linear-chain-crfs-to-regular-languages-2106.07306</loc><lastmod>2023-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constraining-linear-chain-crfs-to-regular-languages-2106.07306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constraining-linear-chain-crfs-to-regular-languages-2106.07306"/></url>
<url><loc>https://scifaro.com/en/abs/automated-machine-learning-techniques-for-data-streams-2106.07317</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-machine-learning-techniques-for-data-streams-2106.07317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-machine-learning-techniques-for-data-streams-2106.07317"/></url>
<url><loc>https://scifaro.com/en/abs/on-policy-deep-reinforcement-learning-for-the-average-reward-criterion-2106.07329</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-policy-deep-reinforcement-learning-for-the-average-reward-criterion-2106.07329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-policy-deep-reinforcement-learning-for-the-average-reward-criterion-2106.07329"/></url>
<url><loc>https://scifaro.com/en/abs/a-self-supervised-framework-for-function-learning-and-extrapolation-2106.07369</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-self-supervised-framework-for-function-learning-and-extrapolation-2106.07369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-self-supervised-framework-for-function-learning-and-extrapolation-2106.07369"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-popularity-of-reddit-posts-with-ai-2106.07380</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-popularity-of-reddit-posts-with-ai-2106.07380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-popularity-of-reddit-posts-with-ai-2106.07380"/></url>
<url><loc>https://scifaro.com/en/abs/popskipjump-decision-based-attack-for-probabilistic-classifiers-2106.07445</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/popskipjump-decision-based-attack-for-probabilistic-classifiers-2106.07445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/popskipjump-decision-based-attack-for-probabilistic-classifiers-2106.07445"/></url>
<url><loc>https://scifaro.com/en/abs/noise-robust-graph-learning-by-estimating-and-leveraging-pairwise-interactions-2106.07451</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-robust-graph-learning-by-estimating-and-leveraging-pairwise-interactions-2106.07451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-robust-graph-learning-by-estimating-and-leveraging-pairwise-interactions-2106.07451"/></url>
<url><loc>https://scifaro.com/en/abs/meta-interpretive-learning-as-metarule-specialisation-2106.07464</loc><lastmod>2022-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-interpretive-learning-as-metarule-specialisation-2106.07464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-interpretive-learning-as-metarule-specialisation-2106.07464"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-a-target-based-actor-critic-algorithm-with-linear-function-approximation-2106.07472</loc><lastmod>2022-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-a-target-based-actor-critic-algorithm-with-linear-function-approximation-2106.07472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-a-target-based-actor-critic-algorithm-with-linear-function-approximation-2106.07472"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-anomaly-detection-with-label-free-model-selection-2106.07473</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-anomaly-detection-with-label-free-model-selection-2106.07473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-anomaly-detection-with-label-free-model-selection-2106.07473"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-interpretable-machine-learning-models-in-parallel-coordinates-2106.07474</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-interpretable-machine-learning-models-in-parallel-coordinates-2106.07474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-interpretable-machine-learning-models-in-parallel-coordinates-2106.07474"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-sanity-checks-for-saliency-maps-with-image-and-text-classification-2106.07475</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-sanity-checks-for-saliency-maps-with-image-and-text-classification-2106.07475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-sanity-checks-for-saliency-maps-with-image-and-text-classification-2106.07475"/></url>
<url><loc>https://scifaro.com/en/abs/training-graph-neural-networks-with-1000-layers-2106.07476</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-graph-neural-networks-with-1000-layers-2106.07476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-graph-neural-networks-with-1000-layers-2106.07476"/></url>
<url><loc>https://scifaro.com/en/abs/an-online-riemannian-pca-for-stochastic-canonical-correlation-analysis-2106.07479</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-online-riemannian-pca-for-stochastic-canonical-correlation-analysis-2106.07479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-online-riemannian-pca-for-stochastic-canonical-correlation-analysis-2106.07479"/></url>
<url><loc>https://scifaro.com/en/abs/graph-domain-adaptation-a-generative-view-2106.07482</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-domain-adaptation-a-generative-view-2106.07482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-domain-adaptation-a-generative-view-2106.07482"/></url>
<url><loc>https://scifaro.com/en/abs/pix2rule-end-to-end-neuro-symbolic-rule-learning-2106.07487</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pix2rule-end-to-end-neuro-symbolic-rule-learning-2106.07487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pix2rule-end-to-end-neuro-symbolic-rule-learning-2106.07487"/></url>
<url><loc>https://scifaro.com/en/abs/balanced-coarsening-for-multilevel-hypergraph-partitioning-via-wasserstein-discrepancy-2106.07501</loc><lastmod>2023-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balanced-coarsening-for-multilevel-hypergraph-partitioning-via-wasserstein-discrepancy-2106.07501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balanced-coarsening-for-multilevel-hypergraph-partitioning-via-wasserstein-discrepancy-2106.07501"/></url>
<url><loc>https://scifaro.com/en/abs/training-like-playing-a-reinforcement-learning-and-knowledge-graph-based-framework-for-building-automatic-consultation-system-in-medical-field-2106.07502</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-like-playing-a-reinforcement-learning-and-knowledge-graph-based-framework-for-building-automatic-consultation-system-in-medical-field-2106.07502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-like-playing-a-reinforcement-learning-and-knowledge-graph-based-framework-for-building-automatic-consultation-system-in-medical-field-2106.07502"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-the-risk-of-fairwashing-2106.07504</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-the-risk-of-fairwashing-2106.07504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-the-risk-of-fairwashing-2106.07504"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-based-prediction-of-future-stress-events-in-a-driving-scenario-2106.07542</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-based-prediction-of-future-stress-events-in-a-driving-scenario-2106.07542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-based-prediction-of-future-stress-events-in-a-driving-scenario-2106.07542"/></url>
<url><loc>https://scifaro.com/en/abs/full-interpretable-machine-learning-in-2d-with-inline-coordinates-2106.07568</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/full-interpretable-machine-learning-in-2d-with-inline-coordinates-2106.07568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/full-interpretable-machine-learning-in-2d-with-inline-coordinates-2106.07568"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-gradient-aggregation-for-federated-domain-adaptation-2106.07578</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-gradient-aggregation-for-federated-domain-adaptation-2106.07578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-gradient-aggregation-for-federated-domain-adaptation-2106.07578"/></url>
<url><loc>https://scifaro.com/en/abs/non-gaussian-denoising-diffusion-models-2106.07582</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-gaussian-denoising-diffusion-models-2106.07582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-gaussian-denoising-diffusion-models-2106.07582"/></url>
<url><loc>https://scifaro.com/en/abs/graph-contrastive-learning-automated-2106.07594</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-contrastive-learning-automated-2106.07594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-contrastive-learning-automated-2106.07594"/></url>
<url><loc>https://scifaro.com/en/abs/mlperf-tiny-benchmark-2106.07597</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mlperf-tiny-benchmark-2106.07597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mlperf-tiny-benchmark-2106.07597"/></url>
<url><loc>https://scifaro.com/en/abs/improving-metric-dimensionality-reduction-with-distributed-topology-2106.07613</loc><lastmod>2021-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-metric-dimensionality-reduction-with-distributed-topology-2106.07613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-metric-dimensionality-reduction-with-distributed-topology-2106.07613"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchically-regularized-deep-forecasting-2106.07630</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchically-regularized-deep-forecasting-2106.07630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchically-regularized-deep-forecasting-2106.07630"/></url>
<url><loc>https://scifaro.com/en/abs/variational-causal-networks-approximate-bayesian-inference-over-causal-structures-2106.07635</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-causal-networks-approximate-bayesian-inference-over-causal-structures-2106.07635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-causal-networks-approximate-bayesian-inference-over-causal-structures-2106.07635"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-visual-3d-keypoints-for-control-2106.07643</loc><lastmod>2021-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-visual-3d-keypoints-for-control-2106.07643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-visual-3d-keypoints-for-control-2106.07643"/></url>
<url><loc>https://scifaro.com/en/abs/planning-to-fairly-allocate-probabilistic-fairness-in-the-restless-bandit-setting-2106.07677</loc><lastmod>2023-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/planning-to-fairly-allocate-probabilistic-fairness-in-the-restless-bandit-setting-2106.07677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/planning-to-fairly-allocate-probabilistic-fairness-in-the-restless-bandit-setting-2106.07677"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-model-stitching-to-compare-neural-representations-2106.07682</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-model-stitching-to-compare-neural-representations-2106.07682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-model-stitching-to-compare-neural-representations-2106.07682"/></url>
<url><loc>https://scifaro.com/en/abs/next-generation-reservoir-computing-2106.07688</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/next-generation-reservoir-computing-2106.07688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/next-generation-reservoir-computing-2106.07688"/></url>
<url><loc>https://scifaro.com/en/abs/phase-transitions-distance-functions-and-implicit-neural-representations-2106.07689</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phase-transitions-distance-functions-and-implicit-neural-representations-2106.07689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phase-transitions-distance-functions-and-implicit-neural-representations-2106.07689"/></url>
<url><loc>https://scifaro.com/en/abs/cathai-fully-automated-interpretation-of-coronary-angiograms-using-neural-networks-2106.07708</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cathai-fully-automated-interpretation-of-coronary-angiograms-using-neural-networks-2106.07708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cathai-fully-automated-interpretation-of-coronary-angiograms-using-neural-networks-2106.07708"/></url>
<url><loc>https://scifaro.com/en/abs/humap-hierarchical-uniform-manifold-approximation-and-projection-2106.07718</loc><lastmod>2025-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/humap-hierarchical-uniform-manifold-approximation-and-projection-2106.07718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/humap-hierarchical-uniform-manifold-approximation-and-projection-2106.07718"/></url>
<url><loc>https://scifaro.com/en/abs/an-exponential-improvement-on-the-memorization-capacity-of-deep-threshold-networks-2106.07724</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-exponential-improvement-on-the-memorization-capacity-of-deep-threshold-networks-2106.07724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-exponential-improvement-on-the-memorization-capacity-of-deep-threshold-networks-2106.07724"/></url>
<url><loc>https://scifaro.com/en/abs/fednilm-applying-federated-learning-to-nilm-applications-at-the-edge-2106.07751</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fednilm-applying-federated-learning-to-nilm-applications-at-the-edge-2106.07751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fednilm-applying-federated-learning-to-nilm-applications-at-the-edge-2106.07751"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-explanations-for-machine-learning-challenges-revisited-2106.07756</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-explanations-for-machine-learning-challenges-revisited-2106.07756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-explanations-for-machine-learning-challenges-revisited-2106.07756"/></url>
<url><loc>https://scifaro.com/en/abs/pitfalls-of-explainable-ml-an-industry-perspective-2106.07758</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pitfalls-of-explainable-ml-an-industry-perspective-2106.07758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pitfalls-of-explainable-ml-an-industry-perspective-2106.07758"/></url>
<url><loc>https://scifaro.com/en/abs/retrieve-coreset-selection-for-efficient-and-robust-semi-supervised-learning-2106.07760</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/retrieve-coreset-selection-for-efficient-and-robust-semi-supervised-learning-2106.07760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/retrieve-coreset-selection-for-efficient-and-robust-semi-supervised-learning-2106.07760"/></url>
<url><loc>https://scifaro.com/en/abs/how-does-heterophily-impact-the-robustness-of-graph-neural-networks-theoretical-connections-and-practical-implications-2106.07767</loc><lastmod>2022-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-does-heterophily-impact-the-robustness-of-graph-neural-networks-theoretical-connections-and-practical-implications-2106.07767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-does-heterophily-impact-the-robustness-of-graph-neural-networks-theoretical-connections-and-practical-implications-2106.07767"/></url>
<url><loc>https://scifaro.com/en/abs/the-flip-side-of-the-reweighted-coin-duality-of-adaptive-dropout-and-regularization-2106.07769</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-flip-side-of-the-reweighted-coin-duality-of-adaptive-dropout-and-regularization-2106.07769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-flip-side-of-the-reweighted-coin-duality-of-adaptive-dropout-and-regularization-2106.07769"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-in-the-presence-of-massart-noise-2106.07779</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-in-the-presence-of-massart-noise-2106.07779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-in-the-presence-of-massart-noise-2106.07779"/></url>
<url><loc>https://scifaro.com/en/abs/kl-guided-domain-adaptation-2106.07780</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kl-guided-domain-adaptation-2106.07780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kl-guided-domain-adaptation-2106.07780"/></url>
<url><loc>https://scifaro.com/en/abs/poisoning-deep-reinforcement-learning-agents-with-in-distribution-triggers-2106.07798</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisoning-deep-reinforcement-learning-agents-with-in-distribution-triggers-2106.07798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisoning-deep-reinforcement-learning-agents-with-in-distribution-triggers-2106.07798"/></url>
<url><loc>https://scifaro.com/en/abs/synthasr-unlocking-synthetic-data-for-speech-recognition-2106.07803</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthasr-unlocking-synthetic-data-for-speech-recognition-2106.07803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthasr-unlocking-synthetic-data-for-speech-recognition-2106.07803"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-neural-networks-with-rule-representations-2106.07804</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-neural-networks-with-rule-representations-2106.07804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-neural-networks-with-rule-representations-2106.07804"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-in-continuous-state-spaces-a-perspective-beyond-linearity-2106.07814</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-in-continuous-state-spaces-a-perspective-beyond-linearity-2106.07814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-in-continuous-state-spaces-a-perspective-beyond-linearity-2106.07814"/></url>
<url><loc>https://scifaro.com/en/abs/on-large-cohort-training-for-federated-learning-2106.07820</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-large-cohort-training-for-federated-learning-2106.07820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-large-cohort-training-for-federated-learning-2106.07820"/></url>
<url><loc>https://scifaro.com/en/abs/site-agnostic-3d-dose-distribution-prediction-with-deep-learning-neural-networks-2106.07825</loc><lastmod>2022-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/site-agnostic-3d-dose-distribution-prediction-with-deep-learning-neural-networks-2106.07825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/site-agnostic-3d-dose-distribution-prediction-with-deep-learning-neural-networks-2106.07825"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-compromise-between-accuracy-interpretability-and-personalization-of-rule-based-machine-learning-in-medical-problems-2106.07827</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-compromise-between-accuracy-interpretability-and-personalization-of-rule-based-machine-learning-in-medical-problems-2106.07827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-compromise-between-accuracy-interpretability-and-personalization-of-rule-based-machine-learning-in-medical-problems-2106.07827"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-and-calibration-of-deep-learning-with-differential-privacy-2106.07830</loc><lastmod>2023-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-and-calibration-of-deep-learning-with-differential-privacy-2106.07830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-and-calibration-of-deep-learning-with-differential-privacy-2106.07830"/></url>
<url><loc>https://scifaro.com/en/abs/learning-equivariant-energy-based-models-with-equivariant-stein-variational-gradient-descent-2106.07832</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-equivariant-energy-based-models-with-equivariant-stein-variational-gradient-descent-2106.07832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-equivariant-energy-based-models-with-equivariant-stein-variational-gradient-descent-2106.07832"/></url>
<url><loc>https://scifaro.com/en/abs/improved-regret-bounds-for-online-submodular-maximization-2106.07836</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-regret-bounds-for-online-submodular-maximization-2106.07836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-regret-bounds-for-online-submodular-maximization-2106.07836"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-exploration-for-reinforcement-learning-with-general-value-function-approximation-2106.07841</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-exploration-for-reinforcement-learning-with-general-value-function-approximation-2106.07841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-exploration-for-reinforcement-learning-with-general-value-function-approximation-2106.07841"/></url>
<url><loc>https://scifaro.com/en/abs/learning-stable-classifiers-by-transferring-unstable-features-2106.07847</loc><lastmod>2022-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-stable-classifiers-by-transferring-unstable-features-2106.07847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-stable-classifiers-by-transferring-unstable-features-2106.07847"/></url>
<url><loc>https://scifaro.com/en/abs/simon-says-evaluating-and-mitigating-bias-in-pruned-neural-networks-with-knowledge-distillation-2106.07849</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simon-says-evaluating-and-mitigating-bias-in-pruned-neural-networks-with-knowledge-distillation-2106.07849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simon-says-evaluating-and-mitigating-bias-in-pruned-neural-networks-with-knowledge-distillation-2106.07849"/></url>
<url><loc>https://scifaro.com/en/abs/voting-for-the-right-answer-adversarial-defense-for-speaker-verification-2106.07868</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/voting-for-the-right-answer-adversarial-defense-for-speaker-verification-2106.07868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/voting-for-the-right-answer-adversarial-defense-for-speaker-verification-2106.07868"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-neural-tangent-kernels-via-sketching-and-random-features-2106.07880</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-neural-tangent-kernels-via-sketching-and-random-features-2106.07880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-neural-tangent-kernels-via-sketching-and-random-features-2106.07880"/></url>
<url><loc>https://scifaro.com/en/abs/credit-assignment-in-neural-networks-through-deep-feedback-control-2106.07887</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/credit-assignment-in-neural-networks-through-deep-feedback-control-2106.07887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/credit-assignment-in-neural-networks-through-deep-feedback-control-2106.07887"/></url>
<url><loc>https://scifaro.com/en/abs/robust-out-of-distribution-detection-on-deep-probabilistic-generative-models-2106.07903</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-out-of-distribution-detection-on-deep-probabilistic-generative-models-2106.07903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-out-of-distribution-detection-on-deep-probabilistic-generative-models-2106.07903"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-margins-for-instance-reweighting-in-adversarial-training-2106.07904</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-margins-for-instance-reweighting-in-adversarial-training-2106.07904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-margins-for-instance-reweighting-in-adversarial-training-2106.07904"/></url>
<url><loc>https://scifaro.com/en/abs/non-gradient-manifold-neural-network-2106.07905</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-gradient-manifold-neural-network-2106.07905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-gradient-manifold-neural-network-2106.07905"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-based-conditional-mean-filter-a-generalization-of-the-ensemble-kalman-filter-for-nonlinear-data-assimilation-2106.07908</loc><lastmod>2022-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-based-conditional-mean-filter-a-generalization-of-the-ensemble-kalman-filter-for-nonlinear-data-assimilation-2106.07908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-based-conditional-mean-filter-a-generalization-of-the-ensemble-kalman-filter-for-nonlinear-data-assimilation-2106.07908"/></url>
<url><loc>https://scifaro.com/en/abs/control-variates-for-slate-off-policy-evaluation-2106.07914</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/control-variates-for-slate-off-policy-evaluation-2106.07914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/control-variates-for-slate-off-policy-evaluation-2106.07914"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-with-electronic-health-records-is-vulnerable-to-backdoor-trigger-attacks-2106.07925</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-with-electronic-health-records-is-vulnerable-to-backdoor-trigger-attacks-2106.07925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-with-electronic-health-records-is-vulnerable-to-backdoor-trigger-attacks-2106.07925"/></url>
<url><loc>https://scifaro.com/en/abs/simple-gnn-regularisation-for-3d-molecular-property-prediction-beyond-2106.07971</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-gnn-regularisation-for-3d-molecular-property-prediction-beyond-2106.07971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-gnn-regularisation-for-3d-molecular-property-prediction-beyond-2106.07971"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-for-internet-of-things-a-federated-learning-framework-for-on-device-anomaly-data-detection-2106.07976</loc><lastmod>2022-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-for-internet-of-things-a-federated-learning-framework-for-on-device-anomaly-data-detection-2106.07976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-for-internet-of-things-a-federated-learning-framework-for-on-device-anomaly-data-detection-2106.07976"/></url>
<url><loc>https://scifaro.com/en/abs/compression-implies-generalization-2106.07989</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compression-implies-generalization-2106.07989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compression-implies-generalization-2106.07989"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-anomaly-detection-for-cyber-physical-systems-via-neural-system-identification-and-bayesian-filtering-2106.07992</loc><lastmod>2022-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-anomaly-detection-for-cyber-physical-systems-via-neural-system-identification-and-bayesian-filtering-2106.07992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-anomaly-detection-for-cyber-physical-systems-via-neural-system-identification-and-bayesian-filtering-2106.07992"/></url>
<url><loc>https://scifaro.com/en/abs/learning-of-feature-points-without-additional-supervision-improves-reinforcement-learning-from-images-2106.07995</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-of-feature-points-without-additional-supervision-improves-reinforcement-learning-from-images-2106.07995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-of-feature-points-without-additional-supervision-improves-reinforcement-learning-from-images-2106.07995"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-the-calibration-of-modern-neural-networks-2106.07998</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-the-calibration-of-modern-neural-networks-2106.07998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-the-calibration-of-modern-neural-networks-2106.07998"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-business-process-representation-learning-utilizing-gramian-angular-fields-and-convolutional-neural-networks-2106.08027</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-business-process-representation-learning-utilizing-gramian-angular-fields-and-convolutional-neural-networks-2106.08027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-business-process-representation-learning-utilizing-gramian-angular-fields-and-convolutional-neural-networks-2106.08027"/></url>
<url><loc>https://scifaro.com/en/abs/mean-embeddings-with-test-time-data-augmentation-for-ensembling-of-representations-2106.08038</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-embeddings-with-test-time-data-augmentation-for-ensembling-of-representations-2106.08038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-embeddings-with-test-time-data-augmentation-for-ensembling-of-representations-2106.08038"/></url>
<url><loc>https://scifaro.com/en/abs/residual-reinforcement-learning-from-demonstrations-2106.08050</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-reinforcement-learning-from-demonstrations-2106.08050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-reinforcement-learning-from-demonstrations-2106.08050"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-power-of-multitask-representation-learning-in-linear-mdp-2106.08053</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-power-of-multitask-representation-learning-in-linear-mdp-2106.08053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-power-of-multitask-representation-learning-in-linear-mdp-2106.08053"/></url>
<url><loc>https://scifaro.com/en/abs/coupled-gradient-estimators-for-discrete-latent-variables-2106.08056</loc><lastmod>2022-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupled-gradient-estimators-for-discrete-latent-variables-2106.08056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupled-gradient-estimators-for-discrete-latent-variables-2106.08056"/></url>
<url><loc>https://scifaro.com/en/abs/generating-contrastive-explanations-for-inductive-logic-programming-based-on-a-near-miss-approach-2106.08064</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-contrastive-explanations-for-inductive-logic-programming-based-on-a-near-miss-approach-2106.08064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-contrastive-explanations-for-inductive-logic-programming-based-on-a-near-miss-approach-2106.08064"/></url>
<url><loc>https://scifaro.com/en/abs/an-analytical-theory-of-curriculum-learning-in-teacher-student-networks-2106.08068</loc><lastmod>2022-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analytical-theory-of-curriculum-learning-in-teacher-student-networks-2106.08068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analytical-theory-of-curriculum-learning-in-teacher-student-networks-2106.08068"/></url>
<url><loc>https://scifaro.com/en/abs/natural-continual-learning-success-is-a-journey-not-just-a-destination-2106.08085</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-continual-learning-success-is-a-journey-not-just-a-destination-2106.08085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-continual-learning-success-is-a-journey-not-just-a-destination-2106.08085"/></url>
<url><loc>https://scifaro.com/en/abs/contextualizing-meta-learning-via-learning-to-decompose-2106.08112</loc><lastmod>2023-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextualizing-meta-learning-via-learning-to-decompose-2106.08112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextualizing-meta-learning-via-learning-to-decompose-2106.08112"/></url>
<url><loc>https://scifaro.com/en/abs/how-modular-should-neural-module-networks-be-for-systematic-generalization-2106.08170</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-modular-should-neural-module-networks-be-for-systematic-generalization-2106.08170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-modular-should-neural-module-networks-be-for-systematic-generalization-2106.08170"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-modules-in-graph-contrastive-learning-2106.08171</loc><lastmod>2022-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-modules-in-graph-contrastive-learning-2106.08171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-modules-in-graph-contrastive-learning-2106.08171"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-unimodal-bandits-2106.08187</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-unimodal-bandits-2106.08187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-unimodal-bandits-2106.08187"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-latent-vector-alignment-for-unsupervised-domain-adaptation-in-medical-image-segmentation-2106.08188</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-latent-vector-alignment-for-unsupervised-domain-adaptation-in-medical-image-segmentation-2106.08188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-latent-vector-alignment-for-unsupervised-domain-adaptation-in-medical-image-segmentation-2106.08188"/></url>
<url><loc>https://scifaro.com/en/abs/on-multi-objective-policy-optimization-as-a-tool-for-reinforcement-learning-case-studies-in-offline-rl-and-finetuning-2106.08199</loc><lastmod>2023-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-multi-objective-policy-optimization-as-a-tool-for-reinforcement-learning-case-studies-in-offline-rl-and-finetuning-2106.08199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-multi-objective-policy-optimization-as-a-tool-for-reinforcement-learning-case-studies-in-offline-rl-and-finetuning-2106.08199"/></url>
<url><loc>https://scifaro.com/en/abs/hypergraph-dissimilarity-measures-2106.08206</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypergraph-dissimilarity-measures-2106.08206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypergraph-dissimilarity-measures-2106.08206"/></url>
<url><loc>https://scifaro.com/en/abs/mico-improved-representations-via-sampling-based-state-similarity-for-markov-decision-processes-2106.08229</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mico-improved-representations-via-sampling-based-state-similarity-for-markov-decision-processes-2106.08229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mico-improved-representations-via-sampling-based-state-similarity-for-markov-decision-processes-2106.08229"/></url>
<url><loc>https://scifaro.com/en/abs/pairconnect-a-compute-efficient-mlp-alternative-to-attention-2106.08235</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pairconnect-a-compute-efficient-mlp-alternative-to-attention-2106.08235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pairconnect-a-compute-efficient-mlp-alternative-to-attention-2106.08235"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-conservation-decisions-2106.08272</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-conservation-decisions-2106.08272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-conservation-decisions-2106.08272"/></url>
<url><loc>https://scifaro.com/en/abs/first-place-solution-of-kdd-cup-2021-ogb-large-scale-challenge-graph-prediction-track-2106.08279</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/first-place-solution-of-kdd-cup-2021-ogb-large-scale-challenge-graph-prediction-track-2106.08279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/first-place-solution-of-kdd-cup-2021-ogb-large-scale-challenge-graph-prediction-track-2106.08279"/></url>
<url><loc>https://scifaro.com/en/abs/crfl-certifiably-robust-federated-learning-against-backdoor-attacks-2106.08283</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crfl-certifiably-robust-federated-learning-against-backdoor-attacks-2106.08283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crfl-certifiably-robust-federated-learning-against-backdoor-attacks-2106.08283"/></url>
<url><loc>https://scifaro.com/en/abs/a-white-paper-on-neural-network-quantization-2106.08295</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-white-paper-on-neural-network-quantization-2106.08295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-white-paper-on-neural-network-quantization-2106.08295"/></url>
<url><loc>https://scifaro.com/en/abs/model-extraction-and-adversarial-attacks-on-neural-networks-using-switching-power-information-2106.08299</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-extraction-and-adversarial-attacks-on-neural-networks-using-switching-power-information-2106.08299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-extraction-and-adversarial-attacks-on-neural-networks-using-switching-power-information-2106.08299"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-micro-structured-weight-unification-and-pruning-for-neural-network-compression-2106.08301</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-micro-structured-weight-unification-and-pruning-for-neural-network-compression-2106.08301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-micro-structured-weight-unification-and-pruning-for-neural-network-compression-2106.08301"/></url>
<url><loc>https://scifaro.com/en/abs/learning-incident-prediction-models-over-large-geographical-areas-for-emergency-response-systems-2106.08307</loc><lastmod>2021-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-incident-prediction-models-over-large-geographical-areas-for-emergency-response-systems-2106.08307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-incident-prediction-models-over-large-geographical-areas-for-emergency-response-systems-2106.08307"/></url>
<url><loc>https://scifaro.com/en/abs/causal-navigation-by-continuous-time-neural-networks-2106.08314</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-navigation-by-continuous-time-neural-networks-2106.08314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-navigation-by-continuous-time-neural-networks-2106.08314"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-on-deep-models-for-financial-transaction-records-2106.08361</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-on-deep-models-for-financial-transaction-records-2106.08361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-on-deep-models-for-financial-transaction-records-2106.08361"/></url>
<url><loc>https://scifaro.com/en/abs/test-sample-accuracy-scales-with-training-sample-density-in-neural-networks-2106.08365</loc><lastmod>2022-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/test-sample-accuracy-scales-with-training-sample-density-in-neural-networks-2106.08365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/test-sample-accuracy-scales-with-training-sample-density-in-neural-networks-2106.08365"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-evaluating-post-hoc-feature-additive-explainers-2106.08376</loc><lastmod>2022-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-evaluating-post-hoc-feature-additive-explainers-2106.08376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-evaluating-post-hoc-feature-additive-explainers-2106.08376"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-finite-horizon-approximation-and-efficient-optimal-algorithms-for-stochastic-shortest-path-2106.08377</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-finite-horizon-approximation-and-efficient-optimal-algorithms-for-stochastic-shortest-path-2106.08377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-finite-horizon-approximation-and-efficient-optimal-algorithms-for-stochastic-shortest-path-2106.08377"/></url>
<url><loc>https://scifaro.com/en/abs/towards-adversarial-robustness-via-transductive-learning-2106.08387</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-adversarial-robustness-via-transductive-learning-2106.08387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-adversarial-robustness-via-transductive-learning-2106.08387"/></url>
<url><loc>https://scifaro.com/en/abs/spoofing-generalization-when-can-t-you-trust-proprietary-models-2106.08393</loc><lastmod>2022-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spoofing-generalization-when-can-t-you-trust-proprietary-models-2106.08393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spoofing-generalization-when-can-t-you-trust-proprietary-models-2106.08393"/></url>
<url><loc>https://scifaro.com/en/abs/learning-based-support-estimation-in-sublinear-time-2106.08396</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-based-support-estimation-in-sublinear-time-2106.08396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-based-support-estimation-in-sublinear-time-2106.08396"/></url>
<url><loc>https://scifaro.com/en/abs/robust-reinforcement-learning-under-minimax-regret-for-green-security-2106.08413</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-reinforcement-learning-under-minimax-regret-for-green-security-2106.08413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-reinforcement-learning-under-minimax-regret-for-green-security-2106.08413"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sample-complexity-and-metastability-of-heavy-tailed-policy-search-in-continuous-control-2106.08414</loc><lastmod>2023-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sample-complexity-and-metastability-of-heavy-tailed-policy-search-in-continuous-control-2106.08414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sample-complexity-and-metastability-of-heavy-tailed-policy-search-in-continuous-control-2106.08414"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-with-uncertain-feedback-graphs-2106.08441</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-with-uncertain-feedback-graphs-2106.08441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-with-uncertain-feedback-graphs-2106.08441"/></url>
<url><loc>https://scifaro.com/en/abs/coda-constructivism-learning-for-instance-dependent-dropout-architecture-construction-2106.08444</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coda-constructivism-learning-for-instance-dependent-dropout-architecture-construction-2106.08444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coda-constructivism-learning-for-instance-dependent-dropout-architecture-construction-2106.08444"/></url>
<url><loc>https://scifaro.com/en/abs/bridge-networks-relating-inputs-through-vector-symbolic-manipulations-2106.08446</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridge-networks-relating-inputs-through-vector-symbolic-manipulations-2106.08446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridge-networks-relating-inputs-through-vector-symbolic-manipulations-2106.08446"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-train-your-wide-neural-network-without-backprop-an-input-weight-alignment-perspective-2106.08453</loc><lastmod>2022-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-train-your-wide-neural-network-without-backprop-an-input-weight-alignment-perspective-2106.08453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-train-your-wide-neural-network-without-backprop-an-input-weight-alignment-perspective-2106.08453"/></url>
<url><loc>https://scifaro.com/en/abs/circa-stochastic-relus-for-private-deep-learning-2106.08475</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/circa-stochastic-relus-for-private-deep-learning-2106.08475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/circa-stochastic-relus-for-private-deep-learning-2106.08475"/></url>
<url><loc>https://scifaro.com/en/abs/fundamental-limits-of-reinforcement-learning-in-environment-with-endogeneous-and-exogeneous-uncertainty-2106.08477</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fundamental-limits-of-reinforcement-learning-in-environment-with-endogeneous-and-exogeneous-uncertainty-2106.08477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fundamental-limits-of-reinforcement-learning-in-environment-with-endogeneous-and-exogeneous-uncertainty-2106.08477"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-modeling-of-hospital-readmission-challenges-and-solutions-2106.08488</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-modeling-of-hospital-readmission-challenges-and-solutions-2106.08488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-modeling-of-hospital-readmission-challenges-and-solutions-2106.08488"/></url>
<url><loc>https://scifaro.com/en/abs/developing-a-fidelity-evaluation-approach-for-interpretable-machine-learning-2106.08492</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/developing-a-fidelity-evaluation-approach-for-interpretable-machine-learning-2106.08492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/developing-a-fidelity-evaluation-approach-for-interpretable-machine-learning-2106.08492"/></url>
<url><loc>https://scifaro.com/en/abs/seen-sharpening-explanations-for-graph-neural-networks-using-explanations-from-neighborhoods-2106.08532</loc><lastmod>2025-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seen-sharpening-explanations-for-graph-neural-networks-using-explanations-from-neighborhoods-2106.08532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seen-sharpening-explanations-for-graph-neural-networks-using-explanations-from-neighborhoods-2106.08532"/></url>
<url><loc>https://scifaro.com/en/abs/distilling-self-knowledge-from-contrastive-links-to-classify-graph-nodes-without-passing-messages-2106.08541</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilling-self-knowledge-from-contrastive-links-to-classify-graph-nodes-without-passing-messages-2106.08541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilling-self-knowledge-from-contrastive-links-to-classify-graph-nodes-without-passing-messages-2106.08541"/></url>
<url><loc>https://scifaro.com/en/abs/non-psd-matrix-sketching-with-applications-to-regression-and-optimization-2106.08544</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-psd-matrix-sketching-with-applications-to-regression-and-optimization-2106.08544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-psd-matrix-sketching-with-applications-to-regression-and-optimization-2106.08544"/></url>
<url><loc>https://scifaro.com/en/abs/mining-interpretable-spatio-temporal-logic-properties-for-spatially-distributed-systems-2106.08548</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-interpretable-spatio-temporal-logic-properties-for-spatially-distributed-systems-2106.08548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-interpretable-spatio-temporal-logic-properties-for-spatially-distributed-systems-2106.08548"/></url>
<url><loc>https://scifaro.com/en/abs/fast-quantum-property-prediction-via-deeper-2d-and-3d-graph-networks-2106.08551</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-quantum-property-prediction-via-deeper-2d-and-3d-graph-networks-2106.08551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-quantum-property-prediction-via-deeper-2d-and-3d-graph-networks-2106.08551"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-visibility-graph-neural-network-and-its-application-in-modulation-classification-2106.08564</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-visibility-graph-neural-network-and-its-application-in-modulation-classification-2106.08564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-visibility-graph-neural-network-and-its-application-in-modulation-classification-2106.08564"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-accounting-of-differential-privacy-via-characteristic-function-2106.08567</loc><lastmod>2022-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-accounting-of-differential-privacy-via-characteristic-function-2106.08567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-accounting-of-differential-privacy-via-characteristic-function-2106.08567"/></url>
<url><loc>https://scifaro.com/en/abs/curriculum-generation-using-autoencoder-based-continuous-optimization-2106.08569</loc><lastmod>2022-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curriculum-generation-using-autoencoder-based-continuous-optimization-2106.08569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curriculum-generation-using-autoencoder-based-continuous-optimization-2106.08569"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-auto-regressive-variational-attention-models-for-text-modeling-2106.08571</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-auto-regressive-variational-attention-models-for-text-modeling-2106.08571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-auto-regressive-variational-attention-models-for-text-modeling-2106.08571"/></url>
<url><loc>https://scifaro.com/en/abs/ada-bkb-scalable-gaussian-process-optimization-on-continuous-domains-by-adaptive-discretization-2106.08598</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ada-bkb-scalable-gaussian-process-optimization-on-continuous-domains-by-adaptive-discretization-2106.08598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ada-bkb-scalable-gaussian-process-optimization-on-continuous-domains-by-adaptive-discretization-2106.08598"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-gans-with-label-augmentation-2106.08601</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-gans-with-label-augmentation-2106.08601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-gans-with-label-augmentation-2106.08601"/></url>
<url><loc>https://scifaro.com/en/abs/help-hardware-adaptive-efficient-latency-prediction-for-nas-via-meta-learning-2106.08630</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/help-hardware-adaptive-efficient-latency-prediction-for-nas-via-meta-learning-2106.08630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/help-hardware-adaptive-efficient-latency-prediction-for-nas-via-meta-learning-2106.08630"/></url>
<url><loc>https://scifaro.com/en/abs/best-of-both-worlds-local-and-global-explanations-with-human-understandable-concepts-2106.08641</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-of-both-worlds-local-and-global-explanations-with-human-understandable-concepts-2106.08641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-of-both-worlds-local-and-global-explanations-with-human-understandable-concepts-2106.08641"/></url>
<url><loc>https://scifaro.com/en/abs/maxmin-fair-ranking-individual-fairness-under-group-fairness-constraints-2106.08652</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maxmin-fair-ranking-individual-fairness-under-group-fairness-constraints-2106.08652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maxmin-fair-ranking-individual-fairness-under-group-fairness-constraints-2106.08652"/></url>
<url><loc>https://scifaro.com/en/abs/a-dataset-level-geometric-framework-for-ensemble-classifiers-2106.08658</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dataset-level-geometric-framework-for-ensemble-classifiers-2106.08658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dataset-level-geometric-framework-for-ensemble-classifiers-2106.08658"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-automated-machine-learning-tools-for-sms-spam-message-filtering-2106.08671</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-automated-machine-learning-tools-for-sms-spam-message-filtering-2106.08671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-automated-machine-learning-tools-for-sms-spam-message-filtering-2106.08671"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-probabilistic-circuits-for-nonparametric-multi-output-regression-2106.08687</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-probabilistic-circuits-for-nonparametric-multi-output-regression-2106.08687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-probabilistic-circuits-for-nonparametric-multi-output-regression-2106.08687"/></url>
<url><loc>https://scifaro.com/en/abs/particleaugment-sampling-based-data-augmentation-2106.08693</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particleaugment-sampling-based-data-augmentation-2106.08693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particleaugment-sampling-based-data-augmentation-2106.08693"/></url>
<url><loc>https://scifaro.com/en/abs/topology-distillation-for-recommender-system-2106.08700</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topology-distillation-for-recommender-system-2106.08700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topology-distillation-for-recommender-system-2106.08700"/></url>
<url><loc>https://scifaro.com/en/abs/memorization-and-generalization-in-neural-code-intelligence-models-2106.08704</loc><lastmod>2022-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memorization-and-generalization-in-neural-code-intelligence-models-2106.08704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memorization-and-generalization-in-neural-code-intelligence-models-2106.08704"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-dag-search-2106.08717</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-dag-search-2106.08717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-dag-search-2106.08717"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-crop-yields-with-little-ground-truth-a-simple-statistical-model-for-in-season-forecasting-2106.08720</loc><lastmod>2021-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-crop-yields-with-little-ground-truth-a-simple-statistical-model-for-in-season-forecasting-2106.08720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-crop-yields-with-little-ground-truth-a-simple-statistical-model-for-in-season-forecasting-2106.08720"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-adversarial-perturbations-against-deep-reinforcement-learning-policies-attacks-and-defenses-2106.08746</loc><lastmod>2022-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-adversarial-perturbations-against-deep-reinforcement-learning-policies-attacks-and-defenses-2106.08746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-adversarial-perturbations-against-deep-reinforcement-learning-policies-attacks-and-defenses-2106.08746"/></url>
<url><loc>https://scifaro.com/en/abs/towards-optimally-weighted-physics-informed-neural-networks-in-ocean-modelling-2106.08747</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-optimally-weighted-physics-informed-neural-networks-in-ocean-modelling-2106.08747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-optimally-weighted-physics-informed-neural-networks-in-ocean-modelling-2106.08747"/></url>
<url><loc>https://scifaro.com/en/abs/input-invex-neural-network-2106.08748</loc><lastmod>2024-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/input-invex-neural-network-2106.08748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/input-invex-neural-network-2106.08748"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-data-augmentation-policy-through-random-unidimensional-search-2106.08756</loc><lastmod>2023-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-data-augmentation-policy-through-random-unidimensional-search-2106.08756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-data-augmentation-policy-through-random-unidimensional-search-2106.08756"/></url>
<url><loc>https://scifaro.com/en/abs/to-raise-or-not-to-raise-the-autonomous-learning-rate-question-2106.08767</loc><lastmod>2023-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-raise-or-not-to-raise-the-autonomous-learning-rate-question-2106.08767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-raise-or-not-to-raise-the-autonomous-learning-rate-question-2106.08767"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-adaptation-priors-2106.08769</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-adaptation-priors-2106.08769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-adaptation-priors-2106.08769"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-markovian-bandits-is-posterior-sampling-more-scalable-than-optimism-2106.08771</loc><lastmod>2022-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-markovian-bandits-is-posterior-sampling-more-scalable-than-optimism-2106.08771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-markovian-bandits-is-posterior-sampling-more-scalable-than-optimism-2106.08771"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-and-optimisation-of-bellman-residual-errors-with-neural-function-approximation-2106.08774</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-and-optimisation-of-bellman-residual-errors-with-neural-function-approximation-2106.08774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-and-optimisation-of-bellman-residual-errors-with-neural-function-approximation-2106.08774"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-outlier-detection-techniques-for-structured-data-2106.08779</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-outlier-detection-techniques-for-structured-data-2106.08779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-outlier-detection-techniques-for-structured-data-2106.08779"/></url>
<url><loc>https://scifaro.com/en/abs/costs-and-benefits-of-fair-regression-2106.08812</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/costs-and-benefits-of-fair-regression-2106.08812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/costs-and-benefits-of-fair-regression-2106.08812"/></url>
<url><loc>https://scifaro.com/en/abs/eigen-analysis-of-self-attention-and-its-reconstruction-from-partial-computation-2106.08823</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigen-analysis-of-self-attention-and-its-reconstruction-from-partial-computation-2106.08823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigen-analysis-of-self-attention-and-its-reconstruction-from-partial-computation-2106.08823"/></url>
<url><loc>https://scifaro.com/en/abs/solving-continuous-control-with-episodic-memory-2106.08832</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-continuous-control-with-episodic-memory-2106.08832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-continuous-control-with-episodic-memory-2106.08832"/></url>
<url><loc>https://scifaro.com/en/abs/algorithm-to-compilation-co-design-an-integrated-view-of-neural-network-sparsity-2106.08846</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithm-to-compilation-co-design-an-integrated-view-of-neural-network-sparsity-2106.08846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithm-to-compilation-co-design-an-integrated-view-of-neural-network-sparsity-2106.08846"/></url>
<url><loc>https://scifaro.com/en/abs/data-augmentation-for-graph-convolutional-network-on-semi-supervised-classification-2106.08848</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-augmentation-for-graph-convolutional-network-on-semi-supervised-classification-2106.08848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-augmentation-for-graph-convolutional-network-on-semi-supervised-classification-2106.08848"/></url>
<url><loc>https://scifaro.com/en/abs/how-memory-architecture-affects-learning-in-a-simple-pomdp-the-two-hypothesis-testing-problem-2106.08849</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-memory-architecture-affects-learning-in-a-simple-pomdp-the-two-hypothesis-testing-problem-2106.08849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-memory-architecture-affects-learning-in-a-simple-pomdp-the-two-hypothesis-testing-problem-2106.08849"/></url>
<url><loc>https://scifaro.com/en/abs/multilinear-dirichlet-processes-2106.08852</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilinear-dirichlet-processes-2106.08852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilinear-dirichlet-processes-2106.08852"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-tikhonov-faster-learning-with-self-concordant-losses-via-iterative-regularization-2106.08855</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-tikhonov-faster-learning-with-self-concordant-losses-via-iterative-regularization-2106.08855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-tikhonov-faster-learning-with-self-concordant-losses-via-iterative-regularization-2106.08855"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-methods-for-multi-goal-reinforcement-learning-2106.08863</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-methods-for-multi-goal-reinforcement-learning-2106.08863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-methods-for-multi-goal-reinforcement-learning-2106.08863"/></url>
<url><loc>https://scifaro.com/en/abs/multi-class-classification-from-single-class-data-with-confidences-2106.08864</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-class-classification-from-single-class-data-with-confidences-2106.08864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-class-classification-from-single-class-data-with-confidences-2106.08864"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-empirical-bayes-estimation-and-testing-for-sparse-and-heteroscedastic-signals-2106.08881</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-empirical-bayes-estimation-and-testing-for-sparse-and-heteroscedastic-signals-2106.08881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-empirical-bayes-estimation-and-testing-for-sparse-and-heteroscedastic-signals-2106.08881"/></url>
<url><loc>https://scifaro.com/en/abs/robust-training-in-high-dimensions-via-block-coordinate-geometric-median-descent-2106.08882</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-training-in-high-dimensions-via-block-coordinate-geometric-median-descent-2106.08882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-training-in-high-dimensions-via-block-coordinate-geometric-median-descent-2106.08882"/></url>
<url><loc>https://scifaro.com/en/abs/wavenet-based-deep-neural-networks-for-the-characterization-of-anomalous-diffusion-wadnet-2106.08887</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wavenet-based-deep-neural-networks-for-the-characterization-of-anomalous-diffusion-wadnet-2106.08887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wavenet-based-deep-neural-networks-for-the-characterization-of-anomalous-diffusion-wadnet-2106.08887"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-modeling-of-map-selection-in-counter-strike-global-offensive-2106.08888</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-modeling-of-map-selection-in-counter-strike-global-offensive-2106.08888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-modeling-of-map-selection-in-counter-strike-global-offensive-2106.08888"/></url>
<url><loc>https://scifaro.com/en/abs/cardiovascular-disease-prediction-using-recursive-feature-elimination-and-gradient-boosting-classification-techniques-2106.08889</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cardiovascular-disease-prediction-using-recursive-feature-elimination-and-gradient-boosting-classification-techniques-2106.08889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cardiovascular-disease-prediction-using-recursive-feature-elimination-and-gradient-boosting-classification-techniques-2106.08889"/></url>
<url><loc>https://scifaro.com/en/abs/modeldiff-testing-based-dnn-similarity-comparison-for-model-reuse-detection-2106.08890</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeldiff-testing-based-dnn-similarity-comparison-for-model-reuse-detection-2106.08890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeldiff-testing-based-dnn-similarity-comparison-for-model-reuse-detection-2106.08890"/></url>
<url><loc>https://scifaro.com/en/abs/development-of-quantized-dnn-library-for-exact-hardware-emulation-2106.08892</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/development-of-quantized-dnn-library-for-exact-hardware-emulation-2106.08892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/development-of-quantized-dnn-library-for-exact-hardware-emulation-2106.08892"/></url>
<url><loc>https://scifaro.com/en/abs/masked-training-of-neural-networks-with-partial-gradients-2106.08895</loc><lastmod>2022-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/masked-training-of-neural-networks-with-partial-gradients-2106.08895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/masked-training-of-neural-networks-with-partial-gradients-2106.08895"/></url>
<url><loc>https://scifaro.com/en/abs/random-feature-neural-networks-learn-black-scholes-type-pdes-without-curse-of-dimensionality-2106.08900</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-feature-neural-networks-learn-black-scholes-type-pdes-without-curse-of-dimensionality-2106.08900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-feature-neural-networks-learn-black-scholes-type-pdes-without-curse-of-dimensionality-2106.08900"/></url>
<url><loc>https://scifaro.com/en/abs/offline-rl-without-off-policy-evaluation-2106.08909</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-rl-without-off-policy-evaluation-2106.08909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-rl-without-off-policy-evaluation-2106.08909"/></url>
<url><loc>https://scifaro.com/en/abs/c-3-compositional-counterfactual-contrastive-learning-for-video-grounded-dialogues-2106.08914</loc><lastmod>2023-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/c-3-compositional-counterfactual-contrastive-learning-for-video-grounded-dialogues-2106.08914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/c-3-compositional-counterfactual-contrastive-learning-for-video-grounded-dialogues-2106.08914"/></url>
<url><loc>https://scifaro.com/en/abs/towards-automatic-actor-critic-solutions-to-continuous-control-2106.08918</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-automatic-actor-critic-solutions-to-continuous-control-2106.08918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-automatic-actor-critic-solutions-to-continuous-control-2106.08918"/></url>
<url><loc>https://scifaro.com/en/abs/rnns-of-rnns-recursive-construction-of-stable-assemblies-of-recurrent-neural-networks-2106.08928</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rnns-of-rnns-recursive-construction-of-stable-assemblies-of-recurrent-neural-networks-2106.08928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rnns-of-rnns-recursive-construction-of-stable-assemblies-of-recurrent-neural-networks-2106.08928"/></url>
<url><loc>https://scifaro.com/en/abs/banker-online-mirror-descent-2106.08943</loc><lastmod>2023-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/banker-online-mirror-descent-2106.08943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/banker-online-mirror-descent-2106.08943"/></url>
<url><loc>https://scifaro.com/en/abs/fglp-a-federated-fine-grained-location-prediction-system-for-mobile-users-2106.08946</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fglp-a-federated-fine-grained-location-prediction-system-for-mobile-users-2106.08946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fglp-a-federated-fine-grained-location-prediction-system-for-mobile-users-2106.08946"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-chaos-in-lineage-trees-a-deep-learning-approach-2106.08956</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-chaos-in-lineage-trees-a-deep-learning-approach-2106.08956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-chaos-in-lineage-trees-a-deep-learning-approach-2106.08956"/></url>
<url><loc>https://scifaro.com/en/abs/early-fault-detection-with-multi-target-neural-networks-2106.08957</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-fault-detection-with-multi-target-neural-networks-2106.08957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-fault-detection-with-multi-target-neural-networks-2106.08957"/></url>
<url><loc>https://scifaro.com/en/abs/a-direct-slip-ratio-estimation-method-based-on-an-intelligent-tire-and-machine-learning-2106.08961</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-direct-slip-ratio-estimation-method-based-on-an-intelligent-tire-and-machine-learning-2106.08961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-direct-slip-ratio-estimation-method-based-on-an-intelligent-tire-and-machine-learning-2106.08961"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-deep-learning-a-survey-on-making-deep-learning-models-smaller-faster-and-better-2106.08962</loc><lastmod>2024-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-deep-learning-a-survey-on-making-deep-learning-models-smaller-faster-and-better-2106.08962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-deep-learning-a-survey-on-making-deep-learning-models-smaller-faster-and-better-2106.08962"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-tools-for-automated-protocol-definition-of-advanced-diagnostic-imaging-exams-2106.08963</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-tools-for-automated-protocol-definition-of-advanced-diagnostic-imaging-exams-2106.08963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-tools-for-automated-protocol-definition-of-advanced-diagnostic-imaging-exams-2106.08963"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-robustness-of-public-transport-systems-using-machine-learning-2106.08967</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-robustness-of-public-transport-systems-using-machine-learning-2106.08967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-robustness-of-public-transport-systems-using-machine-learning-2106.08967"/></url>
<url><loc>https://scifaro.com/en/abs/optimized-ensemble-deep-learning-framework-for-scalable-forecasting-of-dynamics-containing-extreme-events-2106.08968</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimized-ensemble-deep-learning-framework-for-scalable-forecasting-of-dynamics-containing-extreme-events-2106.08968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimized-ensemble-deep-learning-framework-for-scalable-forecasting-of-dynamics-containing-extreme-events-2106.08968"/></url>
<url><loc>https://scifaro.com/en/abs/sleeper-agent-scalable-hidden-trigger-backdoors-for-neural-networks-trained-from-scratch-2106.08970</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sleeper-agent-scalable-hidden-trigger-backdoors-for-neural-networks-trained-from-scratch-2106.08970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sleeper-agent-scalable-hidden-trigger-backdoors-for-neural-networks-trained-from-scratch-2106.08970"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-counterfactual-synthesizer-for-interpretation-2106.08971</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-counterfactual-synthesizer-for-interpretation-2106.08971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-counterfactual-synthesizer-for-interpretation-2106.08971"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-approximation-capability-of-gnns-in-node-classification-regression-tasks-2106.08992</loc><lastmod>2024-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-approximation-capability-of-gnns-in-node-classification-regression-tasks-2106.08992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-approximation-capability-of-gnns-in-node-classification-regression-tasks-2106.08992"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-multi-task-learning-and-meta-learning-towards-efficient-training-and-effective-adaptation-2106.09017</loc><lastmod>2021-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-multi-task-learning-and-meta-learning-towards-efficient-training-and-effective-adaptation-2106.09017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-multi-task-learning-and-meta-learning-towards-efficient-training-and-effective-adaptation-2106.09017"/></url>
<url><loc>https://scifaro.com/en/abs/amortized-synthesis-of-constrained-configurations-using-a-differentiable-surrogate-2106.09019</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortized-synthesis-of-constrained-configurations-using-a-differentiable-surrogate-2106.09019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortized-synthesis-of-constrained-configurations-using-a-differentiable-surrogate-2106.09019"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-training-of-sparse-and-dense-deep-neural-networks-less-parameters-same-performance-2106.09021</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-training-of-sparse-and-dense-deep-neural-networks-less-parameters-same-performance-2106.09021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-training-of-sparse-and-dense-deep-neural-networks-less-parameters-same-performance-2106.09021"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-fix-to-mahalanobis-distance-for-improving-near-ood-detection-2106.09022</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-fix-to-mahalanobis-distance-for-improving-near-ood-detection-2106.09022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-fix-to-mahalanobis-distance-for-improving-near-ood-detection-2106.09022"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-of-mixture-models-for-robust-principal-graph-learning-2106.09035</loc><lastmod>2023-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-of-mixture-models-for-robust-principal-graph-learning-2106.09035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-of-mixture-models-for-robust-principal-graph-learning-2106.09035"/></url>
<url><loc>https://scifaro.com/en/abs/identifiability-guaranteed-simplex-structured-post-nonlinear-mixture-learning-via-autoencoder-2106.09070</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiability-guaranteed-simplex-structured-post-nonlinear-mixture-learning-via-autoencoder-2106.09070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiability-guaranteed-simplex-structured-post-nonlinear-mixture-learning-via-autoencoder-2106.09070"/></url>
<url><loc>https://scifaro.com/en/abs/probing-gnn-explainers-a-rigorous-theoretical-and-empirical-analysis-of-gnn-explanation-methods-2106.09078</loc><lastmod>2022-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probing-gnn-explainers-a-rigorous-theoretical-and-empirical-analysis-of-gnn-explanation-methods-2106.09078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probing-gnn-explainers-a-rigorous-theoretical-and-empirical-analysis-of-gnn-explanation-methods-2106.09078"/></url>
<url><loc>https://scifaro.com/en/abs/quantumfed-a-federated-learning-framework-for-collaborative-quantum-training-2106.09109</loc><lastmod>2022-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantumfed-a-federated-learning-framework-for-collaborative-quantum-training-2106.09109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantumfed-a-federated-learning-framework-for-collaborative-quantum-training-2106.09109"/></url>
<url><loc>https://scifaro.com/en/abs/safe-reinforcement-learning-using-advantage-based-intervention-2106.09110</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-reinforcement-learning-using-advantage-based-intervention-2106.09110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-reinforcement-learning-using-advantage-based-intervention-2106.09110"/></url>
<url><loc>https://scifaro.com/en/abs/an-imprecise-shap-as-a-tool-for-explaining-the-class-probability-distributions-under-limited-training-data-2106.09111</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-imprecise-shap-as-a-tool-for-explaining-the-class-probability-distributions-under-limited-training-data-2106.09111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-imprecise-shap-as-a-tool-for-explaining-the-class-probability-distributions-under-limited-training-data-2106.09111"/></url>
<url><loc>https://scifaro.com/en/abs/deepsplit-scalable-verification-of-deep-neural-networks-via-operator-splitting-2106.09117</loc><lastmod>2022-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepsplit-scalable-verification-of-deep-neural-networks-via-operator-splitting-2106.09117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepsplit-scalable-verification-of-deep-neural-networks-via-operator-splitting-2106.09117"/></url>
<url><loc>https://scifaro.com/en/abs/behavioral-priors-and-dynamics-models-improving-performance-and-domain-transfer-in-offline-rl-2106.09119</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/behavioral-priors-and-dynamics-models-improving-performance-and-domain-transfer-in-offline-rl-2106.09119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/behavioral-priors-and-dynamics-models-improving-performance-and-domain-transfer-in-offline-rl-2106.09119"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-diverse-orthogonal-convolutional-networks-with-a-paraunitary-framework-2106.09121</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-diverse-orthogonal-convolutional-networks-with-a-paraunitary-framework-2106.09121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-diverse-orthogonal-convolutional-networks-with-a-paraunitary-framework-2106.09121"/></url>
<url><loc>https://scifaro.com/en/abs/a-winning-hand-compressing-deep-networks-can-improve-out-of-distribution-robustness-2106.09129</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-winning-hand-compressing-deep-networks-can-improve-out-of-distribution-robustness-2106.09129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-winning-hand-compressing-deep-networks-can-improve-out-of-distribution-robustness-2106.09129"/></url>
<url><loc>https://scifaro.com/en/abs/eeg-gnn-graph-neural-networks-for-classification-of-electroencephalogram-eeg-signals-2106.09135</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eeg-gnn-graph-neural-networks-for-classification-of-electroencephalogram-eeg-signals-2106.09135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eeg-gnn-graph-neural-networks-for-classification-of-electroencephalogram-eeg-signals-2106.09135"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-curricula-via-expert-demonstrations-2106.09159</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-curricula-via-expert-demonstrations-2106.09159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-curricula-via-expert-demonstrations-2106.09159"/></url>
<url><loc>https://scifaro.com/en/abs/mungojerrie-reinforcement-learning-of-linear-time-objectives-2106.09161</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mungojerrie-reinforcement-learning-of-linear-time-objectives-2106.09161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mungojerrie-reinforcement-learning-of-linear-time-objectives-2106.09161"/></url>
<url><loc>https://scifaro.com/en/abs/improving-dnn-fault-tolerance-using-weight-pruning-and-differential-crossbar-mapping-for-reram-based-edge-ai-2106.09166</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-dnn-fault-tolerance-using-weight-pruning-and-differential-crossbar-mapping-for-reram-based-edge-ai-2106.09166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-dnn-fault-tolerance-using-weight-pruning-and-differential-crossbar-mapping-for-reram-based-edge-ai-2106.09166"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-semi-supervised-learning-for-delayed-partially-labelled-data-streams-2106.09170</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-semi-supervised-learning-for-delayed-partially-labelled-data-streams-2106.09170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-semi-supervised-learning-for-delayed-partially-labelled-data-streams-2106.09170"/></url>
<url><loc>https://scifaro.com/en/abs/lira-learning-visual-speech-representations-from-audio-through-self-supervision-2106.09171</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lira-learning-visual-speech-representations-from-audio-through-self-supervision-2106.09171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lira-learning-visual-speech-representations-from-audio-through-self-supervision-2106.09171"/></url>
<url><loc>https://scifaro.com/en/abs/amortized-auto-tuning-cost-efficient-bayesian-transfer-optimization-for-hyperparameter-recommendation-2106.09179</loc><lastmod>2022-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortized-auto-tuning-cost-efficient-bayesian-transfer-optimization-for-hyperparameter-recommendation-2106.09179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortized-auto-tuning-cost-efficient-bayesian-transfer-optimization-for-hyperparameter-recommendation-2106.09179"/></url>
<url><loc>https://scifaro.com/en/abs/rhnas-realizable-hardware-and-neural-architecture-search-2106.09180</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rhnas-realizable-hardware-and-neural-architecture-search-2106.09180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rhnas-realizable-hardware-and-neural-architecture-search-2106.09180"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-demonstration-without-demonstrations-2106.09203</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-demonstration-without-demonstrations-2106.09203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-demonstration-without-demonstrations-2106.09203"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-power-of-preconditioning-in-sparse-linear-regression-2106.09207</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-power-of-preconditioning-in-sparse-linear-regression-2106.09207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-power-of-preconditioning-in-sparse-linear-regression-2106.09207"/></url>
<url><loc>https://scifaro.com/en/abs/square-root-principal-component-pursuit-tuning-free-noisy-robust-matrix-recovery-2106.09211</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/square-root-principal-component-pursuit-tuning-free-noisy-robust-matrix-recovery-2106.09211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/square-root-principal-component-pursuit-tuning-free-noisy-robust-matrix-recovery-2106.09211"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-the-robustness-of-bayesian-neural-networks-against-different-types-of-attacks-2106.09223</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-the-robustness-of-bayesian-neural-networks-against-different-types-of-attacks-2106.09223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-the-robustness-of-bayesian-neural-networks-against-different-types-of-attacks-2106.09223"/></url>
<url><loc>https://scifaro.com/en/abs/why-do-pretrained-language-models-help-in-downstream-tasks-an-analysis-of-head-and-prompt-tuning-2106.09226</loc><lastmod>2022-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-do-pretrained-language-models-help-in-downstream-tasks-an-analysis-of-head-and-prompt-tuning-2106.09226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-do-pretrained-language-models-help-in-downstream-tasks-an-analysis-of-head-and-prompt-tuning-2106.09226"/></url>
<url><loc>https://scifaro.com/en/abs/seeing-differently-acting-similarly-heterogeneously-observable-imitation-learning-2106.09256</loc><lastmod>2022-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seeing-differently-acting-similarly-heterogeneously-observable-imitation-learning-2106.09256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seeing-differently-acting-similarly-heterogeneously-observable-imitation-learning-2106.09256"/></url>
<url><loc>https://scifaro.com/en/abs/joining-datasets-via-data-augmentation-in-the-label-space-for-neural-networks-2106.09260</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joining-datasets-via-data-augmentation-in-the-label-space-for-neural-networks-2106.09260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joining-datasets-via-data-augmentation-in-the-label-space-for-neural-networks-2106.09260"/></url>
<url><loc>https://scifaro.com/en/abs/pruning-randomly-initialized-neural-networks-with-iterative-randomization-2106.09269</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pruning-randomly-initialized-neural-networks-with-iterative-randomization-2106.09269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pruning-randomly-initialized-neural-networks-with-iterative-randomization-2106.09269"/></url>
<url><loc>https://scifaro.com/en/abs/smart-contract-vulnerability-detection-from-pure-neural-network-to-interpretable-graph-feature-and-expert-pattern-fusion-2106.09282</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smart-contract-vulnerability-detection-from-pure-neural-network-to-interpretable-graph-feature-and-expert-pattern-fusion-2106.09282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smart-contract-vulnerability-detection-from-pure-neural-network-to-interpretable-graph-feature-and-expert-pattern-fusion-2106.09282"/></url>
<url><loc>https://scifaro.com/en/abs/mhnf-multi-hop-heterogeneous-neighborhood-information-fusion-graph-representation-learning-2106.09289</loc><lastmod>2022-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mhnf-multi-hop-heterogeneous-neighborhood-information-fusion-graph-representation-learning-2106.09289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mhnf-multi-hop-heterogeneous-neighborhood-information-fusion-graph-representation-learning-2106.09289"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-deep-learning-from-noisy-labels-with-small-loss-criterion-2106.09291</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-deep-learning-from-noisy-labels-with-small-loss-criterion-2106.09291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-deep-learning-from-noisy-labels-with-small-loss-criterion-2106.09291"/></url>
<url><loc>https://scifaro.com/en/abs/crop-certifying-robust-policies-for-reinforcement-learning-through-functional-smoothing-2106.09292</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crop-certifying-robust-policies-for-reinforcement-learning-through-functional-smoothing-2106.09292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crop-certifying-robust-policies-for-reinforcement-learning-through-functional-smoothing-2106.09292"/></url>
<url><loc>https://scifaro.com/en/abs/voice2series-reprogramming-acoustic-models-for-time-series-classification-2106.09296</loc><lastmod>2022-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/voice2series-reprogramming-acoustic-models-for-time-series-classification-2106.09296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/voice2series-reprogramming-acoustic-models-for-time-series-classification-2106.09296"/></url>
<url><loc>https://scifaro.com/en/abs/scinet-time-series-modeling-and-forecasting-with-sample-convolution-and-interaction-2106.09305</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scinet-time-series-modeling-and-forecasting-with-sample-convolution-and-interaction-2106.09305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scinet-time-series-modeling-and-forecasting-with-sample-convolution-and-interaction-2106.09305"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-generative-network-2106.09330</loc><lastmod>2024-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-generative-network-2106.09330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-generative-network-2106.09330"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-private-learning-via-low-rank-reparametrization-2106.09352</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-private-learning-via-low-rank-reparametrization-2106.09352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-private-learning-via-low-rank-reparametrization-2106.09352"/></url>
<url><loc>https://scifaro.com/en/abs/frustratingly-easy-transferability-estimation-2106.09362</loc><lastmod>2022-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frustratingly-easy-transferability-estimation-2106.09362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frustratingly-easy-transferability-estimation-2106.09362"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-generative-model-for-probabilistic-energy-forecasting-in-power-systems-normalizing-flows-2106.09370</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-generative-model-for-probabilistic-energy-forecasting-in-power-systems-normalizing-flows-2106.09370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-generative-model-for-probabilistic-energy-forecasting-in-power-systems-normalizing-flows-2106.09370"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-path-representation-learning-with-curriculum-negative-sampling-2106.09373</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-path-representation-learning-with-curriculum-negative-sampling-2106.09373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-path-representation-learning-with-curriculum-negative-sampling-2106.09373"/></url>
<url><loc>https://scifaro.com/en/abs/on-deep-neural-network-calibration-by-regularization-and-its-impact-on-refinement-2106.09385</loc><lastmod>2022-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-deep-neural-network-calibration-by-regularization-and-its-impact-on-refinement-2106.09385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-deep-neural-network-calibration-by-regularization-and-its-impact-on-refinement-2106.09385"/></url>
<url><loc>https://scifaro.com/en/abs/class-balancing-gan-with-a-classifier-in-the-loop-2106.09402</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-balancing-gan-with-a-classifier-in-the-loop-2106.09402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-balancing-gan-with-a-classifier-in-the-loop-2106.09402"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-cognitive-scores-with-graph-neural-networks-through-sample-selection-learning-2106.09408</loc><lastmod>2022-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-cognitive-scores-with-graph-neural-networks-through-sample-selection-learning-2106.09408"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-cognitive-scores-with-graph-neural-networks-through-sample-selection-learning-2106.09408"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-machine-learning-classifiers-for-brain-tumour-survival-prediction-2106.09424</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-machine-learning-classifiers-for-brain-tumour-survival-prediction-2106.09424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-machine-learning-classifiers-for-brain-tumour-survival-prediction-2106.09424"/></url>
<url><loc>https://scifaro.com/en/abs/towards-heterogeneous-clients-with-elastic-federated-learning-2106.09433</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-heterogeneous-clients-with-elastic-federated-learning-2106.09433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-heterogeneous-clients-with-elastic-federated-learning-2106.09433"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-resource-allocation-in-uncertain-system-environment-through-deep-reinforcement-learning-2106.09461</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-resource-allocation-in-uncertain-system-environment-through-deep-reinforcement-learning-2106.09461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-resource-allocation-in-uncertain-system-environment-through-deep-reinforcement-learning-2106.09461"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-bias-and-data-bias-understanding-the-relation-between-distributionally-robust-optimization-and-data-curation-2106.09467</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-bias-and-data-bias-understanding-the-relation-between-distributionally-robust-optimization-and-data-curation-2106.09467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-bias-and-data-bias-understanding-the-relation-between-distributionally-robust-optimization-and-data-curation-2106.09467"/></url>
<url><loc>https://scifaro.com/en/abs/backward-gradient-normalization-in-deep-neural-networks-2106.09475</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backward-gradient-normalization-in-deep-neural-networks-2106.09475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backward-gradient-normalization-in-deep-neural-networks-2106.09475"/></url>
<url><loc>https://scifaro.com/en/abs/transductive-few-shot-learning-clustering-is-all-you-need-2106.09516</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transductive-few-shot-learning-clustering-is-all-you-need-2106.09516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transductive-few-shot-learning-clustering-is-all-you-need-2106.09516"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-bias-of-sgd-for-diagonal-linear-networks-a-provable-benefit-of-stochasticity-2106.09524</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-bias-of-sgd-for-diagonal-linear-networks-a-provable-benefit-of-stochasticity-2106.09524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-bias-of-sgd-for-diagonal-linear-networks-a-provable-benefit-of-stochasticity-2106.09524"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-properties-and-evolution-of-neural-network-eigenspaces-during-training-2106.09526</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-properties-and-evolution-of-neural-network-eigenspaces-during-training-2106.09526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-properties-and-evolution-of-neural-network-eigenspaces-during-training-2106.09526"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-postprocessing-ensemble-streamflow-forecasts-2106.09547</loc><lastmod>2022-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-postprocessing-ensemble-streamflow-forecasts-2106.09547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-postprocessing-ensemble-streamflow-forecasts-2106.09547"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-chemical-language-representations-capture-molecular-structure-and-properties-2106.09553</loc><lastmod>2022-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-chemical-language-representations-capture-molecular-structure-and-properties-2106.09553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-chemical-language-representations-capture-molecular-structure-and-properties-2106.09553"/></url>
<url><loc>https://scifaro.com/en/abs/on-anytime-learning-at-macroscale-2106.09563</loc><lastmod>2022-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-anytime-learning-at-macroscale-2106.09563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-anytime-learning-at-macroscale-2106.09563"/></url>
<url><loc>https://scifaro.com/en/abs/rotation-invariant-graph-neural-networks-using-spin-convolutions-2106.09575</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rotation-invariant-graph-neural-networks-using-spin-convolutions-2106.09575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rotation-invariant-graph-neural-networks-using-spin-convolutions-2106.09575"/></url>
<url><loc>https://scifaro.com/en/abs/learning-knowledge-graph-based-world-models-of-textual-environments-2106.09608</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-knowledge-graph-based-world-models-of-textual-environments-2106.09608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-knowledge-graph-based-world-models-of-textual-environments-2106.09608"/></url>
<url><loc>https://scifaro.com/en/abs/meta-calibration-learning-of-model-calibration-using-differentiable-expected-calibration-error-2106.09613</loc><lastmod>2023-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-calibration-learning-of-model-calibration-using-differentiable-expected-calibration-error-2106.09613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-calibration-learning-of-model-calibration-using-differentiable-expected-calibration-error-2106.09613"/></url>
<url><loc>https://scifaro.com/en/abs/towards-explainable-student-group-collaboration-assessment-models-using-temporal-representations-of-individual-student-roles-2106.09623</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-explainable-student-group-collaboration-assessment-models-using-temporal-representations-of-individual-student-roles-2106.09623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-explainable-student-group-collaboration-assessment-models-using-temporal-representations-of-individual-student-roles-2106.09623"/></url>
<url><loc>https://scifaro.com/en/abs/multi-stage-prototype-learning-for-interpretable-time-series-classification-2106.09636</loc><lastmod>2026-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-stage-prototype-learning-for-interpretable-time-series-classification-2106.09636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-stage-prototype-learning-for-interpretable-time-series-classification-2106.09636"/></url>
<url><loc>https://scifaro.com/en/abs/prototypical-graph-contrastive-learning-2106.09645</loc><lastmod>2022-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prototypical-graph-contrastive-learning-2106.09645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prototypical-graph-contrastive-learning-2106.09645"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-through-the-lens-of-example-difficulty-2106.09647</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-through-the-lens-of-example-difficulty-2106.09647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-through-the-lens-of-example-difficulty-2106.09647"/></url>
<url><loc>https://scifaro.com/en/abs/non-intrusive-nonlinear-model-reduction-via-machine-learning-approximations-to-low-dimensional-operators-2106.09658</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-intrusive-nonlinear-model-reduction-via-machine-learning-approximations-to-low-dimensional-operators-2106.09658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-intrusive-nonlinear-model-reduction-via-machine-learning-approximations-to-low-dimensional-operators-2106.09658"/></url>
<url><loc>https://scifaro.com/en/abs/poisoning-and-backdooring-contrastive-learning-2106.09667</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisoning-and-backdooring-contrastive-learning-2106.09667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisoning-and-backdooring-contrastive-learning-2106.09667"/></url>
<url><loc>https://scifaro.com/en/abs/multi-modal-fusion-with-gating-using-audio-lexical-and-disfluency-features-for-alzheimer-s-dementia-recognition-from-spontaneous-speech-2106.09668</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-modal-fusion-with-gating-using-audio-lexical-and-disfluency-features-for-alzheimer-s-dementia-recognition-from-spontaneous-speech-2106.09668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-modal-fusion-with-gating-using-audio-lexical-and-disfluency-features-for-alzheimer-s-dementia-recognition-from-spontaneous-speech-2106.09668"/></url>
<url><loc>https://scifaro.com/en/abs/gone-fishing-neural-active-learning-with-fisher-embeddings-2106.09675</loc><lastmod>2021-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gone-fishing-neural-active-learning-with-fisher-embeddings-2106.09675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gone-fishing-neural-active-learning-with-fisher-embeddings-2106.09675"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-low-rank-regularization-with-damping-sequences-to-restrict-lazy-weights-in-deep-networks-2106.09677</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-low-rank-regularization-with-damping-sequences-to-restrict-lazy-weights-in-deep-networks-2106.09677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-low-rank-regularization-with-damping-sequences-to-restrict-lazy-weights-in-deep-networks-2106.09677"/></url>
<url><loc>https://scifaro.com/en/abs/secant-self-expert-cloning-for-zero-shot-generalization-of-visual-policies-2106.09678</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secant-self-expert-cloning-for-zero-shot-generalization-of-visual-policies-2106.09678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secant-self-expert-cloning-for-zero-shot-generalization-of-visual-policies-2106.09678"/></url>
<url><loc>https://scifaro.com/en/abs/accuracy-interpretability-and-differential-privacy-via-explainable-boosting-2106.09680</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accuracy-interpretability-and-differential-privacy-via-explainable-boosting-2106.09680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accuracy-interpretability-and-differential-privacy-via-explainable-boosting-2106.09680"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayes-mac-bayes-and-conditional-mutual-information-fast-rate-bounds-that-handle-general-vc-classes-2106.09683</loc><lastmod>2021-06-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayes-mac-bayes-and-conditional-mutual-information-fast-rate-bounds-that-handle-general-vc-classes-2106.09683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayes-mac-bayes-and-conditional-mutual-information-fast-rate-bounds-that-handle-general-vc-classes-2106.09683"/></url>
<url><loc>https://scifaro.com/en/abs/how-low-can-we-go-trading-memory-for-error-in-low-precision-training-2106.09686</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-low-can-we-go-trading-memory-for-error-in-low-precision-training-2106.09686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-low-can-we-go-trading-memory-for-error-in-low-precision-training-2106.09686"/></url>
<url><loc>https://scifaro.com/en/abs/machining-cycle-time-prediction-data-driven-modelling-of-machine-tool-feedrate-behavior-with-neural-networks-2106.09719</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machining-cycle-time-prediction-data-driven-modelling-of-machine-tool-feedrate-behavior-with-neural-networks-2106.09719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machining-cycle-time-prediction-data-driven-modelling-of-machine-tool-feedrate-behavior-with-neural-networks-2106.09719"/></url>
<url><loc>https://scifaro.com/en/abs/pykale-knowledge-aware-machine-learning-from-multiple-sources-in-python-2106.09756</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pykale-knowledge-aware-machine-learning-from-multiple-sources-in-python-2106.09756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pykale-knowledge-aware-machine-learning-from-multiple-sources-in-python-2106.09756"/></url>
<url><loc>https://scifaro.com/en/abs/cira-guide-to-custom-loss-functions-for-neural-networks-in-environmental-sciences-version-1-2106.09757</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cira-guide-to-custom-loss-functions-for-neural-networks-in-environmental-sciences-version-1-2106.09757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cira-guide-to-custom-loss-functions-for-neural-networks-in-environmental-sciences-version-1-2106.09757"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-resource-allocation-with-graph-neural-networks-2106.09761</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-resource-allocation-with-graph-neural-networks-2106.09761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-resource-allocation-with-graph-neural-networks-2106.09761"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-the-function-approximation-architecture-in-online-reinforcement-learning-2106.09776</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-the-function-approximation-architecture-in-online-reinforcement-learning-2106.09776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-the-function-approximation-architecture-in-online-reinforcement-learning-2106.09776"/></url>
<url><loc>https://scifaro.com/en/abs/on-invariance-penalties-for-risk-minimization-2106.09777</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-invariance-penalties-for-risk-minimization-2106.09777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-invariance-penalties-for-risk-minimization-2106.09777"/></url>
<url><loc>https://scifaro.com/en/abs/private-federated-learning-without-a-trusted-server-optimal-algorithms-for-convex-losses-2106.09779</loc><lastmod>2024-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-federated-learning-without-a-trusted-server-optimal-algorithms-for-convex-losses-2106.09779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-federated-learning-without-a-trusted-server-optimal-algorithms-for-convex-losses-2106.09779"/></url>
<url><loc>https://scifaro.com/en/abs/a-distance-based-separability-measure-for-internal-cluster-validation-2106.09794</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distance-based-separability-measure-for-internal-cluster-validation-2106.09794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distance-based-separability-measure-for-internal-cluster-validation-2106.09794"/></url>
<url><loc>https://scifaro.com/en/abs/shuffle-private-stochastic-convex-optimization-2106.09805</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shuffle-private-stochastic-convex-optimization-2106.09805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shuffle-private-stochastic-convex-optimization-2106.09805"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-learning-vector-quantization-for-classification-in-randomized-neural-networks-and-hyperdimensional-computing-2106.09821</loc><lastmod>2022-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-learning-vector-quantization-for-classification-in-randomized-neural-networks-and-hyperdimensional-computing-2106.09821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-learning-vector-quantization-for-classification-in-randomized-neural-networks-and-hyperdimensional-computing-2106.09821"/></url>
<url><loc>https://scifaro.com/en/abs/many-agent-reinforcement-learning-under-partial-observability-2106.09825</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/many-agent-reinforcement-learning-under-partial-observability-2106.09825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/many-agent-reinforcement-learning-under-partial-observability-2106.09825"/></url>
<url><loc>https://scifaro.com/en/abs/on-effects-of-compression-with-hyperdimensional-computing-in-distributed-randomized-neural-networks-2106.09831</loc><lastmod>2022-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-effects-of-compression-with-hyperdimensional-computing-in-distributed-randomized-neural-networks-2106.09831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-effects-of-compression-with-hyperdimensional-computing-in-distributed-randomized-neural-networks-2106.09831"/></url>
<url><loc>https://scifaro.com/en/abs/pac-prediction-sets-under-covariate-shift-2106.09848</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-prediction-sets-under-covariate-shift-2106.09848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-prediction-sets-under-covariate-shift-2106.09848"/></url>
<url><loc>https://scifaro.com/en/abs/lsec-large-scale-spectral-ensemble-clustering-2106.09852</loc><lastmod>2024-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lsec-large-scale-spectral-ensemble-clustering-2106.09852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lsec-large-scale-spectral-ensemble-clustering-2106.09852"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-in-dynamic-graphs-via-transformer-2106.09876</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-in-dynamic-graphs-via-transformer-2106.09876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-in-dynamic-graphs-via-transformer-2106.09876"/></url>
<url><loc>https://scifaro.com/en/abs/batch-multi-fidelity-bayesian-optimization-with-deep-auto-regressive-networks-2106.09884</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-multi-fidelity-bayesian-optimization-with-deep-auto-regressive-networks-2106.09884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-multi-fidelity-bayesian-optimization-with-deep-auto-regressive-networks-2106.09884"/></url>
<url><loc>https://scifaro.com/en/abs/gradual-domain-adaptation-via-self-training-of-auxiliary-models-2106.09890</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradual-domain-adaptation-via-self-training-of-auxiliary-models-2106.09890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradual-domain-adaptation-via-self-training-of-auxiliary-models-2106.09890"/></url>
<url><loc>https://scifaro.com/en/abs/message-passing-in-graph-convolution-networks-via-adaptive-filter-banks-2106.09910</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/message-passing-in-graph-convolution-networks-via-adaptive-filter-banks-2106.09910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/message-passing-in-graph-convolution-networks-via-adaptive-filter-banks-2106.09910"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-feature-matching-toward-provable-domain-generalization-with-logarithmic-environments-2106.09913</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-feature-matching-toward-provable-domain-generalization-with-logarithmic-environments-2106.09913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-feature-matching-toward-provable-domain-generalization-with-logarithmic-environments-2106.09913"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-generative-adversarial-network-training-via-self-labeling-and-self-attention-2106.09914</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-generative-adversarial-network-training-via-self-labeling-and-self-attention-2106.09914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-generative-adversarial-network-training-via-self-labeling-and-self-attention-2106.09914"/></url>
<url><loc>https://scifaro.com/en/abs/being-properly-improper-2106.09920</loc><lastmod>2022-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/being-properly-improper-2106.09920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/being-properly-improper-2106.09920"/></url>
<url><loc>https://scifaro.com/en/abs/goal-directed-planning-by-reinforcement-learning-and-active-inference-2106.09938</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/goal-directed-planning-by-reinforcement-learning-and-active-inference-2106.09938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/goal-directed-planning-by-reinforcement-learning-and-active-inference-2106.09938"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-the-role-of-negatives-in-contrastive-representation-learning-2106.09943</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-the-role-of-negatives-in-contrastive-representation-learning-2106.09943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-the-role-of-negatives-in-contrastive-representation-learning-2106.09943"/></url>
<url><loc>https://scifaro.com/en/abs/universum-gans-improving-gans-through-contradictions-2106.09946</loc><lastmod>2022-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universum-gans-improving-gans-through-contradictions-2106.09946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universum-gans-improving-gans-through-contradictions-2106.09946"/></url>
<url><loc>https://scifaro.com/en/abs/indicators-of-attack-failure-debugging-and-improving-optimization-of-adversarial-examples-2106.09947</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/indicators-of-attack-failure-debugging-and-improving-optimization-of-adversarial-examples-2106.09947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/indicators-of-attack-failure-debugging-and-improving-optimization-of-adversarial-examples-2106.09947"/></url>
<url><loc>https://scifaro.com/en/abs/labelling-drifts-in-a-fault-detection-system-for-wind-turbine-maintenance-2106.09951</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/labelling-drifts-in-a-fault-detection-system-for-wind-turbine-maintenance-2106.09951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/labelling-drifts-in-a-fault-detection-system-for-wind-turbine-maintenance-2106.09951"/></url>
<url><loc>https://scifaro.com/en/abs/the-curse-of-passive-data-collection-in-batch-reinforcement-learning-2106.09973</loc><lastmod>2023-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-curse-of-passive-data-collection-in-batch-reinforcement-learning-2106.09973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-curse-of-passive-data-collection-in-batch-reinforcement-learning-2106.09973"/></url>
<url><loc>https://scifaro.com/en/abs/binarizedattack-structural-poisoning-attacks-to-graph-based-anomaly-detection-2106.09989</loc><lastmod>2022-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binarizedattack-structural-poisoning-attacks-to-graph-based-anomaly-detection-2106.09989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binarizedattack-structural-poisoning-attacks-to-graph-based-anomaly-detection-2106.09989"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-counterfactual-explanations-through-the-lens-of-adversarial-examples-a-theoretical-and-empirical-analysis-2106.09992</loc><lastmod>2022-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-counterfactual-explanations-through-the-lens-of-adversarial-examples-a-theoretical-and-empirical-analysis-2106.09992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-counterfactual-explanations-through-the-lens-of-adversarial-examples-a-theoretical-and-empirical-analysis-2106.09992"/></url>
<url><loc>https://scifaro.com/en/abs/accumulative-poisoning-attacks-on-real-time-data-2106.09993</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accumulative-poisoning-attacks-on-real-time-data-2106.09993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accumulative-poisoning-attacks-on-real-time-data-2106.09993"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-optimizing-distributions-using-kernel-mean-embeddings-2106.09994</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-optimizing-distributions-using-kernel-mean-embeddings-2106.09994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-optimizing-distributions-using-kernel-mean-embeddings-2106.09994"/></url>
<url><loc>https://scifaro.com/en/abs/zero-shot-federated-learning-with-new-classes-for-audio-classification-2106.10019</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-shot-federated-learning-with-new-classes-for-audio-classification-2106.10019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-shot-federated-learning-with-new-classes-for-audio-classification-2106.10019"/></url>
<url><loc>https://scifaro.com/en/abs/local-adagrad-type-algorithm-for-stochastic-convex-concave-optimization-2106.10022</loc><lastmod>2022-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-adagrad-type-algorithm-for-stochastic-convex-concave-optimization-2106.10022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-adagrad-type-algorithm-for-stochastic-convex-concave-optimization-2106.10022"/></url>
<url><loc>https://scifaro.com/en/abs/a-vertical-federated-learning-framework-for-horizontally-partitioned-labels-2106.10056</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-vertical-federated-learning-framework-for-horizontally-partitioned-labels-2106.10056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-vertical-federated-learning-framework-for-horizontally-partitioned-labels-2106.10056"/></url>
<url><loc>https://scifaro.com/en/abs/being-a-bit-frequentist-improves-bayesian-neural-networks-2106.10065</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/being-a-bit-frequentist-improves-bayesian-neural-networks-2106.10065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/being-a-bit-frequentist-improves-bayesian-neural-networks-2106.10065"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-plan-via-a-multi-step-policy-regression-method-2106.10075</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-plan-via-a-multi-step-policy-regression-method-2106.10075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-plan-via-a-multi-step-policy-regression-method-2106.10075"/></url>
<url><loc>https://scifaro.com/en/abs/it-s-flan-time-summing-feature-wise-latent-representations-for-interpretability-2106.10086</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/it-s-flan-time-summing-feature-wise-latent-representations-for-interpretability-2106.10086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/it-s-flan-time-summing-feature-wise-latent-representations-for-interpretability-2106.10086"/></url>
<url><loc>https://scifaro.com/en/abs/boolean-matrix-factorization-with-sat-and-maxsat-2106.10105</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boolean-matrix-factorization-with-sat-and-maxsat-2106.10105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boolean-matrix-factorization-with-sat-and-maxsat-2106.10105"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-models-predict-visual-responses-in-the-brain-a-preliminary-result-2106.10112</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-models-predict-visual-responses-in-the-brain-a-preliminary-result-2106.10112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-models-predict-visual-responses-in-the-brain-a-preliminary-result-2106.10112"/></url>
<url><loc>https://scifaro.com/en/abs/scoregrad-multivariate-probabilistic-time-series-forecasting-with-continuous-energy-based-generative-models-2106.10121</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scoregrad-multivariate-probabilistic-time-series-forecasting-with-continuous-energy-based-generative-models-2106.10121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scoregrad-multivariate-probabilistic-time-series-forecasting-with-continuous-energy-based-generative-models-2106.10121"/></url>
<url><loc>https://scifaro.com/en/abs/graph-context-encoder-graph-feature-inpainting-for-graph-generation-and-self-supervised-pretraining-2106.10124</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-context-encoder-graph-feature-inpainting-for-graph-generation-and-self-supervised-pretraining-2106.10124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-context-encoder-graph-feature-inpainting-for-graph-generation-and-self-supervised-pretraining-2106.10124"/></url>
<url><loc>https://scifaro.com/en/abs/the-dimpled-manifold-model-of-adversarial-examples-in-machine-learning-2106.10151</loc><lastmod>2022-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-dimpled-manifold-model-of-adversarial-examples-in-machine-learning-2106.10151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-dimpled-manifold-model-of-adversarial-examples-in-machine-learning-2106.10151"/></url>
<url><loc>https://scifaro.com/en/abs/world-gan-a-generative-model-for-minecraft-worlds-2106.10155</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/world-gan-a-generative-model-for-minecraft-worlds-2106.10155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/world-gan-a-generative-model-for-minecraft-worlds-2106.10155"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-gender-by-first-name-using-character-level-machine-learning-2106.10156</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-gender-by-first-name-using-character-level-machine-learning-2106.10156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-gender-by-first-name-using-character-level-machine-learning-2106.10156"/></url>
<url><loc>https://scifaro.com/en/abs/pywatts-python-workflow-automation-tool-for-time-series-2106.10157</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pywatts-python-workflow-automation-tool-for-time-series-2106.10157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pywatts-python-workflow-automation-tool-for-time-series-2106.10157"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-complete-code-with-sketches-2106.10158</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-complete-code-with-sketches-2106.10158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-complete-code-with-sketches-2106.10158"/></url>
<url><loc>https://scifaro.com/en/abs/fingat-financial-graph-attention-networks-for-recommending-top-k-profitable-stocks-2106.10159</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fingat-financial-graph-attention-networks-for-recommending-top-k-profitable-stocks-2106.10159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fingat-financial-graph-attention-networks-for-recommending-top-k-profitable-stocks-2106.10159"/></url>
<url><loc>https://scifaro.com/en/abs/steerable-partial-differential-operators-for-equivariant-neural-networks-2106.10163</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/steerable-partial-differential-operators-for-equivariant-neural-networks-2106.10163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/steerable-partial-differential-operators-for-equivariant-neural-networks-2106.10163"/></url>
<url><loc>https://scifaro.com/en/abs/the-principles-of-deep-learning-theory-2106.10165</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-principles-of-deep-learning-theory-2106.10165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-principles-of-deep-learning-theory-2106.10165"/></url>
<url><loc>https://scifaro.com/en/abs/fusion-of-embeddings-networks-for-robust-combination-of-text-dependent-and-independent-speaker-recognition-2106.10169</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fusion-of-embeddings-networks-for-robust-combination-of-text-dependent-and-independent-speaker-recognition-2106.10169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fusion-of-embeddings-networks-for-robust-combination-of-text-dependent-and-independent-speaker-recognition-2106.10169"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-incremental-deep-graph-learning-for-ethereum-phishing-scam-detection-2106.10176</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-incremental-deep-graph-learning-for-ethereum-phishing-scam-detection-2106.10176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-incremental-deep-graph-learning-for-ethereum-phishing-scam-detection-2106.10176"/></url>
<url><loc>https://scifaro.com/en/abs/noisegrad-enhancing-explanations-by-introducing-stochasticity-to-model-weights-2106.10185</loc><lastmod>2023-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisegrad-enhancing-explanations-by-introducing-stochasticity-to-model-weights-2106.10185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisegrad-enhancing-explanations-by-introducing-stochasticity-to-model-weights-2106.10185"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-helps-transfer-learning-via-better-representations-2106.10189</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-helps-transfer-learning-via-better-representations-2106.10189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-helps-transfer-learning-via-better-representations-2106.10189"/></url>
<url><loc>https://scifaro.com/en/abs/rational-shapley-values-2106.10191</loc><lastmod>2022-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rational-shapley-values-2106.10191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rational-shapley-values-2106.10191"/></url>
<url><loc>https://scifaro.com/en/abs/federated-robustness-propagation-sharing-robustness-in-heterogeneous-federated-learning-2106.10196</loc><lastmod>2022-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-robustness-propagation-sharing-robustness-in-heterogeneous-federated-learning-2106.10196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-robustness-propagation-sharing-robustness-in-heterogeneous-federated-learning-2106.10196"/></url>
<url><loc>https://scifaro.com/en/abs/bitfit-simple-parameter-efficient-fine-tuning-for-transformer-based-masked-language-models-2106.10199</loc><lastmod>2026-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bitfit-simple-parameter-efficient-fine-tuning-for-transformer-based-masked-language-models-2106.10199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bitfit-simple-parameter-efficient-fine-tuning-for-transformer-based-masked-language-models-2106.10199"/></url>
<url><loc>https://scifaro.com/en/abs/an-investigation-into-mini-batch-rule-learning-2106.10202</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-investigation-into-mini-batch-rule-learning-2106.10202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-investigation-into-mini-batch-rule-learning-2106.10202"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-deep-learning-in-open-collaborations-2106.10207</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-deep-learning-in-open-collaborations-2106.10207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-deep-learning-in-open-collaborations-2106.10207"/></url>
<url><loc>https://scifaro.com/en/abs/combining-pseudo-point-and-state-space-approximations-for-sum-separable-gaussian-processes-2106.10210</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-pseudo-point-and-state-space-approximations-for-sum-separable-gaussian-processes-2106.10210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-pseudo-point-and-state-space-approximations-for-sum-separable-gaussian-processes-2106.10210"/></url>
<url><loc>https://scifaro.com/en/abs/residual-error-a-new-performance-measure-for-adversarial-robustness-2106.10212</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-error-a-new-performance-measure-for-adversarial-robustness-2106.10212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-error-a-new-performance-measure-for-adversarial-robustness-2106.10212"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-hamiltonian-monte-carlo-2106.10238</loc><lastmod>2022-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-hamiltonian-monte-carlo-2106.10238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-hamiltonian-monte-carlo-2106.10238"/></url>
<url><loc>https://scifaro.com/en/abs/active-offline-policy-selection-2106.10251</loc><lastmod>2022-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-offline-policy-selection-2106.10251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-offline-policy-selection-2106.10251"/></url>
<url><loc>https://scifaro.com/en/abs/less-is-more-feature-selection-for-adversarial-robustness-with-compressive-counter-adversarial-attacks-2106.10252</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/less-is-more-feature-selection-for-adversarial-robustness-with-compressive-counter-adversarial-attacks-2106.10252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/less-is-more-feature-selection-for-adversarial-robustness-with-compressive-counter-adversarial-attacks-2106.10252"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-investigation-into-deep-and-shallow-rule-learning-2106.10254</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-investigation-into-deep-and-shallow-rule-learning-2106.10254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-investigation-into-deep-and-shallow-rule-learning-2106.10254"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-representation-of-dnns-bridging-mutual-information-and-generalization-2106.10262</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-representation-of-dnns-bridging-mutual-information-and-generalization-2106.10262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-representation-of-dnns-bridging-mutual-information-and-generalization-2106.10262"/></url>
<url><loc>https://scifaro.com/en/abs/made-exploration-via-maximizing-deviation-from-explored-regions-2106.10268</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/made-exploration-via-maximizing-deviation-from-explored-regions-2106.10268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/made-exploration-via-maximizing-deviation-from-explored-regions-2106.10268"/></url>
<url><loc>https://scifaro.com/en/abs/riemannian-convex-potential-maps-2106.10272</loc><lastmod>2021-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riemannian-convex-potential-maps-2106.10272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riemannian-convex-potential-maps-2106.10272"/></url>
<url><loc>https://scifaro.com/en/abs/dependency-structure-misspecification-in-multi-source-weak-supervision-models-2106.10302</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dependency-structure-misspecification-in-multi-source-weak-supervision-models-2106.10302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dependency-structure-misspecification-in-multi-source-weak-supervision-models-2106.10302"/></url>
<url><loc>https://scifaro.com/en/abs/group-structured-adversarial-training-2106.10324</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-structured-adversarial-training-2106.10324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-structured-adversarial-training-2106.10324"/></url>
<url><loc>https://scifaro.com/en/abs/the-perils-of-learning-before-optimizing-2106.10349</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-perils-of-learning-before-optimizing-2106.10349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-perils-of-learning-before-optimizing-2106.10349"/></url>
<url><loc>https://scifaro.com/en/abs/cross-hospital-sepsis-early-detection-via-semi-supervised-optimal-transport-with-self-paced-ensemble-2106.10352</loc><lastmod>2023-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-hospital-sepsis-early-detection-via-semi-supervised-optimal-transport-with-self-paced-ensemble-2106.10352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-hospital-sepsis-early-detection-via-semi-supervised-optimal-transport-with-self-paced-ensemble-2106.10352"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-free-real-time-flexible-control-of-tidal-lagoons-through-proximal-policy-optimisation-a-case-study-for-the-swansea-lagoon-2106.10360</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-free-real-time-flexible-control-of-tidal-lagoons-through-proximal-policy-optimisation-a-case-study-for-the-swansea-lagoon-2106.10360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-free-real-time-flexible-control-of-tidal-lagoons-through-proximal-policy-optimisation-a-case-study-for-the-swansea-lagoon-2106.10360"/></url>
<url><loc>https://scifaro.com/en/abs/scenic4rl-programmatic-modeling-and-generation-of-reinforcement-learning-environments-2106.10365</loc><lastmod>2023-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scenic4rl-programmatic-modeling-and-generation-of-reinforcement-learning-environments-2106.10365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scenic4rl-programmatic-modeling-and-generation-of-reinforcement-learning-environments-2106.10365"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-query-optimal-and-time-efficient-algorithm-for-clustering-with-a-faulty-oracle-2106.10374</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-query-optimal-and-time-efficient-algorithm-for-clustering-with-a-faulty-oracle-2106.10374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-query-optimal-and-time-efficient-algorithm-for-clustering-with-a-faulty-oracle-2106.10374"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-training-via-boosting-pruning-plasticity-with-neuroregeneration-2106.10404</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-training-via-boosting-pruning-plasticity-with-neuroregeneration-2106.10404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-training-via-boosting-pruning-plasticity-with-neuroregeneration-2106.10404"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-learning-via-schr-o-dinger-bridge-2106.10410</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-learning-via-schr-o-dinger-bridge-2106.10410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-learning-via-schr-o-dinger-bridge-2106.10410"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-offline-reinforcement-learning-with-residual-generative-modeling-2106.10411</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-offline-reinforcement-learning-with-residual-generative-modeling-2106.10411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-offline-reinforcement-learning-with-residual-generative-modeling-2106.10411"/></url>
<url><loc>https://scifaro.com/en/abs/variance-dependent-best-arm-identification-2106.10417</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-dependent-best-arm-identification-2106.10417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-dependent-best-arm-identification-2106.10417"/></url>
<url><loc>https://scifaro.com/en/abs/coarse-to-fine-two-stage-approach-to-robust-tensor-completion-of-visual-data-2106.10422</loc><lastmod>2022-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coarse-to-fine-two-stage-approach-to-robust-tensor-completion-of-visual-data-2106.10422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coarse-to-fine-two-stage-approach-to-robust-tensor-completion-of-visual-data-2106.10422"/></url>
<url><loc>https://scifaro.com/en/abs/on-generalization-of-adversarial-imitation-learning-and-beyond-2106.10424</loc><lastmod>2022-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-generalization-of-adversarial-imitation-learning-and-beyond-2106.10424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-generalization-of-adversarial-imitation-learning-and-beyond-2106.10424"/></url>
<url><loc>https://scifaro.com/en/abs/improving-compositional-generalization-in-classification-tasks-via-structure-annotations-2106.10434</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-compositional-generalization-in-classification-tasks-via-structure-annotations-2106.10434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-compositional-generalization-in-classification-tasks-via-structure-annotations-2106.10434"/></url>
<url><loc>https://scifaro.com/en/abs/stem-a-stochastic-two-sided-momentum-algorithm-achieving-near-optimal-sample-and-communication-complexities-for-federated-learning-2106.10435</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stem-a-stochastic-two-sided-momentum-algorithm-achieving-near-optimal-sample-and-communication-complexities-for-federated-learning-2106.10435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stem-a-stochastic-two-sided-momentum-algorithm-achieving-near-optimal-sample-and-communication-complexities-for-federated-learning-2106.10435"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-view-of-algorithms-for-path-planning-using-probabilistic-inference-on-factor-graphs-2106.10442</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-view-of-algorithms-for-path-planning-using-probabilistic-inference-on-factor-graphs-2106.10442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-view-of-algorithms-for-path-planning-using-probabilistic-inference-on-factor-graphs-2106.10442"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-the-facial-growth-direction-with-machine-learning-methods-2106.10464</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-the-facial-growth-direction-with-machine-learning-methods-2106.10464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-the-facial-growth-direction-with-machine-learning-methods-2106.10464"/></url>
<url><loc>https://scifaro.com/en/abs/ts2vec-towards-universal-representation-of-time-series-2106.10466</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ts2vec-towards-universal-representation-of-time-series-2106.10466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ts2vec-towards-universal-representation-of-time-series-2106.10466"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-classifier-as-mutual-information-evaluator-2106.10471</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-classifier-as-mutual-information-evaluator-2106.10471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-classifier-as-mutual-information-evaluator-2106.10471"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-interpretability-for-forecasting-of-aggregated-renewable-generation-2106.10476</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-interpretability-for-forecasting-of-aggregated-renewable-generation-2106.10476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-interpretability-for-forecasting-of-aggregated-renewable-generation-2106.10476"/></url>
<url><loc>https://scifaro.com/en/abs/teacher-s-pet-understanding-and-mitigating-biases-in-distillation-2106.10494</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/teacher-s-pet-understanding-and-mitigating-biases-in-distillation-2106.10494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/teacher-s-pet-understanding-and-mitigating-biases-in-distillation-2106.10494"/></url>
<url><loc>https://scifaro.com/en/abs/a-max-min-entropy-framework-for-reinforcement-learning-2106.10517</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-max-min-entropy-framework-for-reinforcement-learning-2106.10517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-max-min-entropy-framework-for-reinforcement-learning-2106.10517"/></url>
<url><loc>https://scifaro.com/en/abs/stability-of-graph-convolutional-neural-networks-to-stochastic-perturbations-2106.10526</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-of-graph-convolutional-neural-networks-to-stochastic-perturbations-2106.10526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-of-graph-convolutional-neural-networks-to-stochastic-perturbations-2106.10526"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-for-learning-real-time-prices-in-electricity-market-2106.10529</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-for-learning-real-time-prices-in-electricity-market-2106.10529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-for-learning-real-time-prices-in-electricity-market-2106.10529"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-generalization-in-overparameterized-normalizing-flows-2106.10535</loc><lastmod>2022-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-generalization-in-overparameterized-normalizing-flows-2106.10535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-generalization-in-overparameterized-normalizing-flows-2106.10535"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-safety-critical-policy-evaluation-with-accelerated-rare-event-sampling-2106.10566</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-safety-critical-policy-evaluation-with-accelerated-rare-event-sampling-2106.10566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-safety-critical-policy-evaluation-with-accelerated-rare-event-sampling-2106.10566"/></url>
<url><loc>https://scifaro.com/en/abs/evograd-efficient-gradient-based-meta-learning-and-hyperparameter-optimization-2106.10575</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evograd-efficient-gradient-based-meta-learning-and-hyperparameter-optimization-2106.10575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evograd-efficient-gradient-based-meta-learning-and-hyperparameter-optimization-2106.10575"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-multi-task-learning-with-expert-diversity-2106.10595</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-multi-task-learning-with-expert-diversity-2106.10595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-multi-task-learning-with-expert-diversity-2106.10595"/></url>
<url><loc>https://scifaro.com/en/abs/cogradient-descent-for-dependable-learning-2106.10617</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cogradient-descent-for-dependable-learning-2106.10617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cogradient-descent-for-dependable-learning-2106.10617"/></url>
<url><loc>https://scifaro.com/en/abs/task-attended-meta-learning-for-few-shot-learning-2106.10642</loc><lastmod>2022-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-attended-meta-learning-for-few-shot-learning-2106.10642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-attended-meta-learning-for-few-shot-learning-2106.10642"/></url>
<url><loc>https://scifaro.com/en/abs/tinyml-analysis-of-xtensa-lx6-microprocessor-for-neural-network-applications-by-esp32-soc-2106.10652</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tinyml-analysis-of-xtensa-lx6-microprocessor-for-neural-network-applications-by-esp32-soc-2106.10652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tinyml-analysis-of-xtensa-lx6-microprocessor-for-neural-network-applications-by-esp32-soc-2106.10652"/></url>
<url><loc>https://scifaro.com/en/abs/practical-assessment-of-generalization-performance-robustness-for-deep-networks-via-contrastive-examples-2106.10653</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-assessment-of-generalization-performance-robustness-for-deep-networks-via-contrastive-examples-2106.10653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-assessment-of-generalization-performance-robustness-for-deep-networks-via-contrastive-examples-2106.10653"/></url>
<url><loc>https://scifaro.com/en/abs/td-gen-graph-generation-with-tree-decomposition-2106.10656</loc><lastmod>2022-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/td-gen-graph-generation-with-tree-decomposition-2106.10656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/td-gen-graph-generation-with-tree-decomposition-2106.10656"/></url>
<url><loc>https://scifaro.com/en/abs/fedxgboost-privacy-preserving-xgboost-for-federated-learning-2106.10662</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedxgboost-privacy-preserving-xgboost-for-federated-learning-2106.10662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedxgboost-privacy-preserving-xgboost-for-federated-learning-2106.10662"/></url>
<url><loc>https://scifaro.com/en/abs/a-compressive-multi-kernel-method-for-privacy-preserving-machine-learning-2106.10671</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-compressive-multi-kernel-method-for-privacy-preserving-machine-learning-2106.10671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-compressive-multi-kernel-method-for-privacy-preserving-machine-learning-2106.10671"/></url>
<url><loc>https://scifaro.com/en/abs/fast-pdn-impedance-prediction-using-deep-learning-2106.10693</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-pdn-impedance-prediction-using-deep-learning-2106.10693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-pdn-impedance-prediction-using-deep-learning-2106.10693"/></url>
<url><loc>https://scifaro.com/en/abs/better-training-using-weight-constrained-stochastic-dynamics-2106.10704</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/better-training-using-weight-constrained-stochastic-dynamics-2106.10704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/better-training-using-weight-constrained-stochastic-dynamics-2106.10704"/></url>
<url><loc>https://scifaro.com/en/abs/memory-augmented-optimizers-for-deep-learning-2106.10708</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-augmented-optimizers-for-deep-learning-2106.10708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-augmented-optimizers-for-deep-learning-2106.10708"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-bayesian-meta-learning-via-weighted-free-energy-minimization-2106.10711</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-bayesian-meta-learning-via-weighted-free-energy-minimization-2106.10711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-bayesian-meta-learning-via-weighted-free-energy-minimization-2106.10711"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-in-the-social-and-health-sciences-2106.10716</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-in-the-social-and-health-sciences-2106.10716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-in-the-social-and-health-sciences-2106.10716"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-online-learning-using-potential-functions-2106.10717</loc><lastmod>2022-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-online-learning-using-potential-functions-2106.10717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-online-learning-using-potential-functions-2106.10717"/></url>
<url><loc>https://scifaro.com/en/abs/is-shapley-value-fair-improving-client-selection-for-mavericks-in-federated-learning-2106.10734</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-shapley-value-fair-improving-client-selection-for-mavericks-in-federated-learning-2106.10734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-shapley-value-fair-improving-client-selection-for-mavericks-in-federated-learning-2106.10734"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-cryptographic-hardness-of-learning-single-periodic-neurons-2106.10744</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-cryptographic-hardness-of-learning-single-periodic-neurons-2106.10744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-cryptographic-hardness-of-learning-single-periodic-neurons-2106.10744"/></url>
<url><loc>https://scifaro.com/en/abs/opportunities-and-challenges-in-partitioning-the-graph-measure-space-of-real-world-networks-2106.10753</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opportunities-and-challenges-in-partitioning-the-graph-measure-space-of-real-world-networks-2106.10753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opportunities-and-challenges-in-partitioning-the-graph-measure-space-of-real-world-networks-2106.10753"/></url>
<url><loc>https://scifaro.com/en/abs/robust-regression-via-model-based-methods-2106.10759</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-regression-via-model-based-methods-2106.10759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-regression-via-model-based-methods-2106.10759"/></url>
<url><loc>https://scifaro.com/en/abs/on-stein-variational-neural-network-ensembles-2106.10760</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-stein-variational-neural-network-ensembles-2106.10760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-stein-variational-neural-network-ensembles-2106.10760"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-in-the-face-of-adaptivity-a-bayesian-perspective-2106.10761</loc><lastmod>2024-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-in-the-face-of-adaptivity-a-bayesian-perspective-2106.10761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-in-the-face-of-adaptivity-a-bayesian-perspective-2106.10761"/></url>
<url><loc>https://scifaro.com/en/abs/multirate-training-of-neural-networks-2106.10771</loc><lastmod>2022-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multirate-training-of-neural-networks-2106.10771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multirate-training-of-neural-networks-2106.10771"/></url>
<url><loc>https://scifaro.com/en/abs/neural-spectral-marked-point-processes-2106.10773</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-spectral-marked-point-processes-2106.10773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-spectral-marked-point-processes-2106.10773"/></url>
<url><loc>https://scifaro.com/en/abs/optidice-offline-policy-optimization-via-stationary-distribution-correction-estimation-2106.10783</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optidice-offline-policy-optimization-via-stationary-distribution-correction-estimation-2106.10783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optidice-offline-policy-optimization-via-stationary-distribution-correction-estimation-2106.10783"/></url>
<url><loc>https://scifaro.com/en/abs/idarts-differentiable-architecture-search-with-stochastic-implicit-gradients-2106.10784</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/idarts-differentiable-architecture-search-with-stochastic-implicit-gradients-2106.10784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/idarts-differentiable-architecture-search-with-stochastic-implicit-gradients-2106.10784"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attack-on-graph-neural-networks-as-an-influence-maximization-problem-2106.10785</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attack-on-graph-neural-networks-as-an-influence-maximization-problem-2106.10785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attack-on-graph-neural-networks-as-an-influence-maximization-problem-2106.10785"/></url>
<url><loc>https://scifaro.com/en/abs/cd-sgd-distributed-stochastic-gradient-descent-with-compression-and-delay-compensation-2106.10796</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cd-sgd-distributed-stochastic-gradient-descent-with-compression-and-delay-compensation-2106.10796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cd-sgd-distributed-stochastic-gradient-descent-with-compression-and-delay-compensation-2106.10796"/></url>
<url><loc>https://scifaro.com/en/abs/lossy-compression-for-lossless-prediction-2106.10800</loc><lastmod>2022-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lossy-compression-for-lossless-prediction-2106.10800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lossy-compression-for-lossless-prediction-2106.10800"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-make-strong-poisons-2106.10807</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-make-strong-poisons-2106.10807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-make-strong-poisons-2106.10807"/></url>
<url><loc>https://scifaro.com/en/abs/stateful-ode-nets-using-basis-function-expansions-2106.10820</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stateful-ode-nets-using-basis-function-expansions-2106.10820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stateful-ode-nets-using-basis-function-expansions-2106.10820"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-deep-neural-networks-on-edge-devices-2106.10836</loc><lastmod>2023-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-deep-neural-networks-on-edge-devices-2106.10836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-deep-neural-networks-on-edge-devices-2106.10836"/></url>
<url><loc>https://scifaro.com/en/abs/multiplying-matrices-without-multiplying-2106.10860</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiplying-matrices-without-multiplying-2106.10860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiplying-matrices-without-multiplying-2106.10860"/></url>
<url><loc>https://scifaro.com/en/abs/customizing-graph-neural-networks-using-path-reweighting-2106.10866</loc><lastmod>2024-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/customizing-graph-neural-networks-using-path-reweighting-2106.10866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/customizing-graph-neural-networks-using-path-reweighting-2106.10866"/></url>
<url><loc>https://scifaro.com/en/abs/fedcm-federated-learning-with-client-level-momentum-2106.10874</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedcm-federated-learning-with-client-level-momentum-2106.10874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedcm-federated-learning-with-client-level-momentum-2106.10874"/></url>
<url><loc>https://scifaro.com/en/abs/open-set-label-noise-can-improve-robustness-against-inherent-label-noise-2106.10891</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-set-label-noise-can-improve-robustness-against-inherent-label-noise-2106.10891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-set-label-noise-can-improve-robustness-against-inherent-label-noise-2106.10891"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-positive-and-unlabeled-data-2106.10904</loc><lastmod>2022-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-positive-and-unlabeled-data-2106.10904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-positive-and-unlabeled-data-2106.10904"/></url>
<url><loc>https://scifaro.com/en/abs/variational-multiple-shooting-for-bayesian-odes-with-gaussian-processes-2106.10905</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-multiple-shooting-for-bayesian-odes-with-gaussian-processes-2106.10905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-multiple-shooting-for-bayesian-odes-with-gaussian-processes-2106.10905"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-capabilities-of-measure-preserving-neural-networks-2106.10911</loc><lastmod>2022-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-capabilities-of-measure-preserving-neural-networks-2106.10911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-capabilities-of-measure-preserving-neural-networks-2106.10911"/></url>
<url><loc>https://scifaro.com/en/abs/grand-graph-neural-diffusion-2106.10934</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grand-graph-neural-diffusion-2106.10934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grand-graph-neural-diffusion-2106.10934"/></url>
<url><loc>https://scifaro.com/en/abs/a-game-theoretic-taxonomy-of-visual-concepts-in-dnns-2106.10938</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-game-theoretic-taxonomy-of-visual-concepts-in-dnns-2106.10938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-game-theoretic-taxonomy-of-visual-concepts-in-dnns-2106.10938"/></url>
<url><loc>https://scifaro.com/en/abs/deep-spatio-temporal-forecasting-of-electrical-vehicle-charging-demand-2106.10940</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-spatio-temporal-forecasting-of-electrical-vehicle-charging-demand-2106.10940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-spatio-temporal-forecasting-of-electrical-vehicle-charging-demand-2106.10940"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-conditional-generative-models-in-a-general-explanation-framework-of-classifier-decisions-2106.10947</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-conditional-generative-models-in-a-general-explanation-framework-of-classifier-decisions-2106.10947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-conditional-generative-models-in-a-general-explanation-framework-of-classifier-decisions-2106.10947"/></url>
<url><loc>https://scifaro.com/en/abs/friendly-training-neural-networks-can-adapt-data-to-make-learning-easier-2106.10974</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/friendly-training-neural-networks-can-adapt-data-to-make-learning-easier-2106.10974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/friendly-training-neural-networks-can-adapt-data-to-make-learning-easier-2106.10974"/></url>
<url><loc>https://scifaro.com/en/abs/bernnet-learning-arbitrary-graph-spectral-filters-via-bernstein-approximation-2106.10994</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bernnet-learning-arbitrary-graph-spectral-filters-via-bernstein-approximation-2106.10994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bernnet-learning-arbitrary-graph-spectral-filters-via-bernstein-approximation-2106.10994"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-based-comparative-review-and-ai-driven-symbolic-model-for-longitudinal-dispersion-coefficient-in-natural-streams-2106.11026</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-based-comparative-review-and-ai-driven-symbolic-model-for-longitudinal-dispersion-coefficient-in-natural-streams-2106.11026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-based-comparative-review-and-ai-driven-symbolic-model-for-longitudinal-dispersion-coefficient-in-natural-streams-2106.11026"/></url>
<url><loc>https://scifaro.com/en/abs/neural-controlled-differential-equations-for-online-prediction-tasks-2106.11028</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-controlled-differential-equations-for-online-prediction-tasks-2106.11028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-controlled-differential-equations-for-online-prediction-tasks-2106.11028"/></url>
<url><loc>https://scifaro.com/en/abs/towards-better-shale-gas-production-forecasting-using-transfer-learning-2106.11051</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-better-shale-gas-production-forecasting-using-transfer-learning-2106.11051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-better-shale-gas-production-forecasting-using-transfer-learning-2106.11051"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-language-to-learn-program-abstractions-and-search-heuristics-2106.11053</loc><lastmod>2022-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-language-to-learn-program-abstractions-and-search-heuristics-2106.11053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-language-to-learn-program-abstractions-and-search-heuristics-2106.11053"/></url>
<url><loc>https://scifaro.com/en/abs/performance-evaluation-of-classification-models-for-household-income-consumption-and-expenditure-data-set-2106.11055</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-evaluation-of-classification-models-for-household-income-consumption-and-expenditure-data-set-2106.11055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-evaluation-of-classification-models-for-household-income-consumption-and-expenditure-data-set-2106.11055"/></url>
<url><loc>https://scifaro.com/en/abs/paradigm-selection-for-data-fusion-of-sar-and-multispectral-sentinel-data-applied-to-land-cover-classification-2106.11056</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/paradigm-selection-for-data-fusion-of-sar-and-multispectral-sentinel-data-applied-to-land-cover-classification-2106.11056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/paradigm-selection-for-data-fusion-of-sar-and-multispectral-sentinel-data-applied-to-land-cover-classification-2106.11056"/></url>
<url><loc>https://scifaro.com/en/abs/quapy-a-python-based-framework-for-quantification-2106.11057</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quapy-a-python-based-framework-for-quantification-2106.11057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quapy-a-python-based-framework-for-quantification-2106.11057"/></url>
<url><loc>https://scifaro.com/en/abs/improving-multi-modal-learning-with-uni-modal-teachers-2106.11059</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-multi-modal-learning-with-uni-modal-teachers-2106.11059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-multi-modal-learning-with-uni-modal-teachers-2106.11059"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-neural-relational-inference-for-interacting-systems-2106.11083</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-neural-relational-inference-for-interacting-systems-2106.11083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-neural-relational-inference-for-interacting-systems-2106.11083"/></url>
<url><loc>https://scifaro.com/en/abs/analytically-tractable-bayesian-deep-q-learning-2106.11086</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analytically-tractable-bayesian-deep-q-learning-2106.11086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analytically-tractable-bayesian-deep-q-learning-2106.11086"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-dictionary-learning-for-unsupervised-feature-selection-2106.11102</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-dictionary-learning-for-unsupervised-feature-selection-2106.11102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-dictionary-learning-for-unsupervised-feature-selection-2106.11102"/></url>
<url><loc>https://scifaro.com/en/abs/decadal-forecasts-with-resdmd-a-residual-dmd-neural-network-2106.11111</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decadal-forecasts-with-resdmd-a-residual-dmd-neural-network-2106.11111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decadal-forecasts-with-resdmd-a-residual-dmd-neural-network-2106.11111"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-data-explanation-by-jumping-emerging-patterns-visualization-2106.11112</loc><lastmod>2022-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-data-explanation-by-jumping-emerging-patterns-visualization-2106.11112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-data-explanation-by-jumping-emerging-patterns-visualization-2106.11112"/></url>
<url><loc>https://scifaro.com/en/abs/matrix-encoding-networks-for-neural-combinatorial-optimization-2106.11113</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matrix-encoding-networks-for-neural-combinatorial-optimization-2106.11113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matrix-encoding-networks-for-neural-combinatorial-optimization-2106.11113"/></url>
<url><loc>https://scifaro.com/en/abs/graceful-degradation-and-related-fields-2106.11119</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graceful-degradation-and-related-fields-2106.11119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graceful-degradation-and-related-fields-2106.11119"/></url>
<url><loc>https://scifaro.com/en/abs/graphmixup-improving-class-imbalanced-node-classification-on-graphs-by-self-supervised-context-prediction-2106.11133</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphmixup-improving-class-imbalanced-node-classification-on-graphs-by-self-supervised-context-prediction-2106.11133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphmixup-improving-class-imbalanced-node-classification-on-graphs-by-self-supervised-context-prediction-2106.11133"/></url>
<url><loc>https://scifaro.com/en/abs/effects-of-boundary-conditions-in-fully-convolutional-networks-for-learning-spatio-temporal-dynamics-2106.11160</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effects-of-boundary-conditions-in-fully-convolutional-networks-for-learning-spatio-temporal-dynamics-2106.11160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effects-of-boundary-conditions-in-fully-convolutional-networks-for-learning-spatio-temporal-dynamics-2106.11160"/></url>
<url><loc>https://scifaro.com/en/abs/does-optimal-source-task-performance-imply-optimal-pre-training-for-a-target-task-2106.11174</loc><lastmod>2022-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-optimal-source-task-performance-imply-optimal-pre-training-for-a-target-task-2106.11174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-optimal-source-task-performance-imply-optimal-pre-training-for-a-target-task-2106.11174"/></url>
<url><loc>https://scifaro.com/en/abs/nettraj-a-network-based-vehicle-trajectory-prediction-model-with-directional-representation-and-spatiotemporal-attention-mechanisms-2106.11175</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nettraj-a-network-based-vehicle-trajectory-prediction-model-with-directional-representation-and-spatiotemporal-attention-mechanisms-2106.11175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nettraj-a-network-based-vehicle-trajectory-prediction-model-with-directional-representation-and-spatiotemporal-attention-mechanisms-2106.11175"/></url>
<url><loc>https://scifaro.com/en/abs/on-fine-tuning-of-autoencoders-for-fuzzy-rule-classifiers-2106.11182</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-fine-tuning-of-autoencoders-for-fuzzy-rule-classifiers-2106.11182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-fine-tuning-of-autoencoders-for-fuzzy-rule-classifiers-2106.11182"/></url>
<url><loc>https://scifaro.com/en/abs/well-tuned-simple-nets-excel-on-tabular-datasets-2106.11189</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/well-tuned-simple-nets-excel-on-tabular-datasets-2106.11189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/well-tuned-simple-nets-excel-on-tabular-datasets-2106.11189"/></url>
<url><loc>https://scifaro.com/en/abs/multi-level-feature-learning-for-contrastive-multi-view-clustering-2106.11193</loc><lastmod>2022-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-level-feature-learning-for-contrastive-multi-view-clustering-2106.11193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-level-feature-learning-for-contrastive-multi-view-clustering-2106.11193"/></url>
<url><loc>https://scifaro.com/en/abs/corruption-robust-active-learning-2106.11220</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/corruption-robust-active-learning-2106.11220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/corruption-robust-active-learning-2106.11220"/></url>
<url><loc>https://scifaro.com/en/abs/aomd-an-analogy-aware-approach-to-offensive-meme-detection-on-social-media-2106.11229</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aomd-an-analogy-aware-approach-to-offensive-meme-detection-on-social-media-2106.11229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aomd-an-analogy-aware-approach-to-offensive-meme-detection-on-social-media-2106.11229"/></url>
<url><loc>https://scifaro.com/en/abs/can-contrastive-learning-avoid-shortcut-solutions-2106.11230</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-contrastive-learning-avoid-shortcut-solutions-2106.11230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-contrastive-learning-avoid-shortcut-solutions-2106.11230"/></url>
<url><loc>https://scifaro.com/en/abs/instrumental-variable-estimation-for-compositional-treatments-2106.11234</loc><lastmod>2024-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instrumental-variable-estimation-for-compositional-treatments-2106.11234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instrumental-variable-estimation-for-compositional-treatments-2106.11234"/></url>
<url><loc>https://scifaro.com/en/abs/secure-distributed-training-at-scale-2106.11257</loc><lastmod>2023-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secure-distributed-training-at-scale-2106.11257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secure-distributed-training-at-scale-2106.11257"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-federated-learning-applications-in-distributionally-robust-averaging-and-meta-learning-2106.11264</loc><lastmod>2023-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-federated-learning-applications-in-distributionally-robust-averaging-and-meta-learning-2106.11264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-federated-learning-applications-in-distributionally-robust-averaging-and-meta-learning-2106.11264"/></url>
<url><loc>https://scifaro.com/en/abs/attention-based-neural-network-for-driving-environment-complexity-perception-2106.11277</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-based-neural-network-for-driving-environment-complexity-perception-2106.11277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-based-neural-network-for-driving-environment-complexity-perception-2106.11277"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-sequential-optimisation-with-delayed-feedback-2106.11294</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-sequential-optimisation-with-delayed-feedback-2106.11294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-sequential-optimisation-with-delayed-feedback-2106.11294"/></url>
<url><loc>https://scifaro.com/en/abs/boundary-graph-neural-networks-for-3d-simulations-2106.11299</loc><lastmod>2023-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boundary-graph-neural-networks-for-3d-simulations-2106.11299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boundary-graph-neural-networks-for-3d-simulations-2106.11299"/></url>
<url><loc>https://scifaro.com/en/abs/how-do-adam-and-training-strategies-help-bnns-optimization-2106.11309</loc><lastmod>2021-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-do-adam-and-training-strategies-help-bnns-optimization-2106.11309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-do-adam-and-training-strategies-help-bnns-optimization-2106.11309"/></url>
<url><loc>https://scifaro.com/en/abs/dive-into-deep-learning-2106.11342</loc><lastmod>2023-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dive-into-deep-learning-2106.11342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dive-into-deep-learning-2106.11342"/></url>
<url><loc>https://scifaro.com/en/abs/f-domain-adversarial-learning-theory-and-algorithms-2106.11344</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/f-domain-adversarial-learning-theory-and-algorithms-2106.11344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/f-domain-adversarial-learning-theory-and-algorithms-2106.11344"/></url>
<url><loc>https://scifaro.com/en/abs/hi-behrt-hierarchical-transformer-based-model-for-accurate-prediction-of-clinical-events-using-multimodal-longitudinal-electronic-health-records-2106.11360</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hi-behrt-hierarchical-transformer-based-model-for-accurate-prediction-of-clinical-events-using-multimodal-longitudinal-electronic-health-records-2106.11360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hi-behrt-hierarchical-transformer-based-model-for-accurate-prediction-of-clinical-events-using-multimodal-longitudinal-electronic-health-records-2106.11360"/></url>
<url><loc>https://scifaro.com/en/abs/learn-like-the-pro-norms-from-theory-to-size-neural-computation-2106.11409</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-like-the-pro-norms-from-theory-to-size-neural-computation-2106.11409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-like-the-pro-norms-from-theory-to-size-neural-computation-2106.11409"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-model-based-hierarchical-reinforcement-learning-using-inductive-logic-programming-2106.11417</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-model-based-hierarchical-reinforcement-learning-using-inductive-logic-programming-2106.11417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-model-based-hierarchical-reinforcement-learning-using-inductive-logic-programming-2106.11417"/></url>
<url><loc>https://scifaro.com/en/abs/policy-smoothing-for-provably-robust-reinforcement-learning-2106.11420</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-smoothing-for-provably-robust-reinforcement-learning-2106.11420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-smoothing-for-provably-robust-reinforcement-learning-2106.11420"/></url>
<url><loc>https://scifaro.com/en/abs/hoda-hardness-oriented-detection-of-model-extraction-attacks-2106.11424</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hoda-hardness-oriented-detection-of-model-extraction-attacks-2106.11424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hoda-hardness-oriented-detection-of-model-extraction-attacks-2106.11424"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-inference-via-universal-lsh-kernel-2106.11426</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-inference-via-universal-lsh-kernel-2106.11426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-inference-via-universal-lsh-kernel-2106.11426"/></url>
<url><loc>https://scifaro.com/en/abs/convdysat-deep-neural-representation-learning-on-dynamic-graphs-via-self-attention-and-convolutional-neural-networks-2106.11430</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convdysat-deep-neural-representation-learning-on-dynamic-graphs-via-self-attention-and-convolutional-neural-networks-2106.11430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convdysat-deep-neural-representation-learning-on-dynamic-graphs-via-self-attention-and-convolutional-neural-networks-2106.11430"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-deep-neural-network-learning-using-classification-confidence-thresholding-2106.11437</loc><lastmod>2022-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-deep-neural-network-learning-using-classification-confidence-thresholding-2106.11437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-deep-neural-network-learning-using-classification-confidence-thresholding-2106.11437"/></url>
<url><loc>https://scifaro.com/en/abs/instance-optimal-compressed-sensing-via-posterior-sampling-2106.11438</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-optimal-compressed-sensing-via-posterior-sampling-2106.11438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-optimal-compressed-sensing-via-posterior-sampling-2106.11438"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-late-fusion-technique-for-multi-modal-sentiment-analysis-2106.11473</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-late-fusion-technique-for-multi-modal-sentiment-analysis-2106.11473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-late-fusion-technique-for-multi-modal-sentiment-analysis-2106.11473"/></url>
<url><loc>https://scifaro.com/en/abs/routine-clustering-of-mobile-sensor-data-facilitates-psychotic-relapse-prediction-in-schizophrenia-patients-2106.11487</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/routine-clustering-of-mobile-sensor-data-facilitates-psychotic-relapse-prediction-in-schizophrenia-patients-2106.11487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/routine-clustering-of-mobile-sensor-data-facilitates-psychotic-relapse-prediction-in-schizophrenia-patients-2106.11487"/></url>
<url><loc>https://scifaro.com/en/abs/an-accurate-non-accelerometer-based-ppg-motion-artifact-removal-technique-using-cyclegan-2106.11512</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-accurate-non-accelerometer-based-ppg-motion-artifact-removal-technique-using-cyclegan-2106.11512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-accurate-non-accelerometer-based-ppg-motion-artifact-removal-technique-using-cyclegan-2106.11512"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-adam-a-twofold-exponential-moving-average-approach-2106.11514</loc><lastmod>2022-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-adam-a-twofold-exponential-moving-average-approach-2106.11514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-adam-a-twofold-exponential-moving-average-approach-2106.11514"/></url>
<url><loc>https://scifaro.com/en/abs/agnostic-reinforcement-learning-with-low-rank-mdps-and-rich-observations-2106.11519</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agnostic-reinforcement-learning-with-low-rank-mdps-and-rich-observations-2106.11519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agnostic-reinforcement-learning-with-low-rank-mdps-and-rich-observations-2106.11519"/></url>
<url><loc>https://scifaro.com/en/abs/recent-deep-semi-supervised-learning-approaches-and-related-works-2106.11528</loc><lastmod>2024-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recent-deep-semi-supervised-learning-approaches-and-related-works-2106.11528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recent-deep-semi-supervised-learning-approaches-and-related-works-2106.11528"/></url>
<url><loc>https://scifaro.com/en/abs/graph-routing-between-capsules-2106.11531</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-routing-between-capsules-2106.11531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-routing-between-capsules-2106.11531"/></url>
<url><loc>https://scifaro.com/en/abs/particle-cloud-generation-with-message-passing-generative-adversarial-networks-2106.11535</loc><lastmod>2022-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-cloud-generation-with-message-passing-generative-adversarial-networks-2106.11535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-cloud-generation-with-message-passing-generative-adversarial-networks-2106.11535"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-clustering-with-sigmoid-based-regularization-for-efficient-segmentation-of-sequential-data-2106.11541</loc><lastmod>2022-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-clustering-with-sigmoid-based-regularization-for-efficient-segmentation-of-sequential-data-2106.11541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-clustering-with-sigmoid-based-regularization-for-efficient-segmentation-of-sequential-data-2106.11541"/></url>
<url><loc>https://scifaro.com/en/abs/connection-sensitivity-matters-for-training-free-darts-from-architecture-level-scoring-to-operation-level-sensitivity-analysis-2106.11542</loc><lastmod>2023-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/connection-sensitivity-matters-for-training-free-darts-from-architecture-level-scoring-to-operation-level-sensitivity-analysis-2106.11542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/connection-sensitivity-matters-for-training-free-darts-from-architecture-level-scoring-to-operation-level-sensitivity-analysis-2106.11542"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-learning-rate-and-momentum-for-training-deep-neural-networks-2106.11548</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-learning-rate-and-momentum-for-training-deep-neural-networks-2106.11548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-learning-rate-and-momentum-for-training-deep-neural-networks-2106.11548"/></url>
<url><loc>https://scifaro.com/en/abs/finding-valid-adjustments-under-non-ignorability-with-minimal-dag-knowledge-2106.11560</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-valid-adjustments-under-non-ignorability-with-minimal-dag-knowledge-2106.11560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-valid-adjustments-under-non-ignorability-with-minimal-dag-knowledge-2106.11560"/></url>
<url><loc>https://scifaro.com/en/abs/flra-a-reference-architecture-for-federated-learning-systems-2106.11570</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flra-a-reference-architecture-for-federated-learning-systems-2106.11570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flra-a-reference-architecture-for-federated-learning-systems-2106.11570"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-depth-neural-models-for-dynamic-graph-prediction-2106.11581</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-depth-neural-models-for-dynamic-graph-prediction-2106.11581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-depth-neural-models-for-dynamic-graph-prediction-2106.11581"/></url>
<url><loc>https://scifaro.com/en/abs/a-vertical-federated-learning-framework-for-graph-convolutional-network-2106.11593</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-vertical-federated-learning-framework-for-graph-convolutional-network-2106.11593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-vertical-federated-learning-framework-for-graph-convolutional-network-2106.11593"/></url>
<url><loc>https://scifaro.com/en/abs/information-retrieval-for-zerospeech-2021-the-submission-by-university-of-wroclaw-2106.11603</loc><lastmod>2024-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-retrieval-for-zerospeech-2021-the-submission-by-university-of-wroclaw-2106.11603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-retrieval-for-zerospeech-2021-the-submission-by-university-of-wroclaw-2106.11603"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-gradient-matching-for-learning-uncertain-neural-dynamics-models-2106.11609</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-gradient-matching-for-learning-uncertain-neural-dynamics-models-2106.11609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-gradient-matching-for-learning-uncertain-neural-dynamics-models-2106.11609"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-pac-bounds-for-reinforcement-learning-with-linear-function-approximation-2106.11612</loc><lastmod>2022-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-pac-bounds-for-reinforcement-learning-with-linear-function-approximation-2106.11612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-pac-bounds-for-reinforcement-learning-with-linear-function-approximation-2106.11612"/></url>
<url><loc>https://scifaro.com/en/abs/on-adversarial-robustness-of-synthetic-code-generation-2106.11629</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-adversarial-robustness-of-synthetic-code-generation-2106.11629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-adversarial-robustness-of-synthetic-code-generation-2106.11629"/></url>
<url><loc>https://scifaro.com/en/abs/repulsive-deep-ensembles-are-bayesian-2106.11642</loc><lastmod>2023-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/repulsive-deep-ensembles-are-bayesian-2106.11642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/repulsive-deep-ensembles-are-bayesian-2106.11642"/></url>
<url><loc>https://scifaro.com/en/abs/darts-prime-regularization-and-scheduling-improve-constrained-optimization-in-differentiable-nas-2106.11655</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/darts-prime-regularization-and-scheduling-improve-constrained-optimization-in-differentiable-nas-2106.11655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/darts-prime-regularization-and-scheduling-improve-constrained-optimization-in-differentiable-nas-2106.11655"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-based-label-binning-in-multi-label-classification-2106.11690</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-based-label-binning-in-multi-label-classification-2106.11690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-based-label-binning-in-multi-label-classification-2106.11690"/></url>
<url><loc>https://scifaro.com/en/abs/a-reduction-based-framework-for-conservative-bandits-and-reinforcement-learning-2106.11692</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reduction-based-framework-for-conservative-bandits-and-reinforcement-learning-2106.11692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reduction-based-framework-for-conservative-bandits-and-reinforcement-learning-2106.11692"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dynamical-systems-from-noisy-sensor-measurements-using-multiple-shooting-2106.11712</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dynamical-systems-from-noisy-sensor-measurements-using-multiple-shooting-2106.11712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dynamical-systems-from-noisy-sensor-measurements-using-multiple-shooting-2106.11712"/></url>
<url><loc>https://scifaro.com/en/abs/test-distribution-aware-active-learning-a-principled-approach-against-distribution-shift-and-outliers-2106.11719</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/test-distribution-aware-active-learning-a-principled-approach-against-distribution-shift-and-outliers-2106.11719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/test-distribution-aware-active-learning-a-principled-approach-against-distribution-shift-and-outliers-2106.11719"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-latent-space-model-for-graph-representation-learning-2106.11721</loc><lastmod>2024-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-latent-space-model-for-graph-representation-learning-2106.11721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-latent-space-model-for-graph-representation-learning-2106.11721"/></url>
<url><loc>https://scifaro.com/en/abs/flea-provably-robust-fair-multisource-learning-from-unreliable-training-data-2106.11732</loc><lastmod>2023-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flea-provably-robust-fair-multisource-learning-from-unreliable-training-data-2106.11732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flea-provably-robust-fair-multisource-learning-from-unreliable-training-data-2106.11732"/></url>
<url><loc>https://scifaro.com/en/abs/lifted-model-checking-for-relational-mdps-2106.11735</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifted-model-checking-for-relational-mdps-2106.11735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifted-model-checking-for-relational-mdps-2106.11735"/></url>
<url><loc>https://scifaro.com/en/abs/symplectic-learning-for-hamiltonian-neural-networks-2106.11753</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symplectic-learning-for-hamiltonian-neural-networks-2106.11753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symplectic-learning-for-hamiltonian-neural-networks-2106.11753"/></url>
<url><loc>https://scifaro.com/en/abs/emphatic-algorithms-for-deep-reinforcement-learning-2106.11779</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emphatic-algorithms-for-deep-reinforcement-learning-2106.11779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emphatic-algorithms-for-deep-reinforcement-learning-2106.11779"/></url>
<url><loc>https://scifaro.com/en/abs/enabling-long-term-cooperation-in-cross-silo-federated-learning-a-repeated-game-perspective-2106.11814</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enabling-long-term-cooperation-in-cross-silo-federated-learning-a-repeated-game-perspective-2106.11814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enabling-long-term-cooperation-in-cross-silo-federated-learning-a-repeated-game-perspective-2106.11814"/></url>
<url><loc>https://scifaro.com/en/abs/user-identification-across-social-networking-sites-using-user-profiles-and-posting-patterns-2106.11815</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/user-identification-across-social-networking-sites-using-user-profiles-and-posting-patterns-2106.11815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/user-identification-across-social-networking-sites-using-user-profiles-and-posting-patterns-2106.11815"/></url>
<url><loc>https://scifaro.com/en/abs/a-clustering-based-framework-for-classifying-data-streams-2106.11823</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-clustering-based-framework-for-classifying-data-streams-2106.11823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-clustering-based-framework-for-classifying-data-streams-2106.11823"/></url>
<url><loc>https://scifaro.com/en/abs/lower-and-upper-bounds-on-the-vc-dimension-of-tensor-network-models-2106.11827</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lower-and-upper-bounds-on-the-vc-dimension-of-tensor-network-models-2106.11827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lower-and-upper-bounds-on-the-vc-dimension-of-tensor-network-models-2106.11827"/></url>
<url><loc>https://scifaro.com/en/abs/speeding-up-opfython-with-numba-2106.11828</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speeding-up-opfython-with-numba-2106.11828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speeding-up-opfython-with-numba-2106.11828"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-anomalous-user-behavior-in-remote-patient-monitoring-2106.11844</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-anomalous-user-behavior-in-remote-patient-monitoring-2106.11844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-anomalous-user-behavior-in-remote-patient-monitoring-2106.11844"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-polyak-stepsize-with-a-moving-target-2106.11851</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-polyak-stepsize-with-a-moving-target-2106.11851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-polyak-stepsize-with-a-moving-target-2106.11851"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-reinforcement-learning-with-delayed-rewards-2106.11854</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-reinforcement-learning-with-delayed-rewards-2106.11854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-reinforcement-learning-with-delayed-rewards-2106.11854"/></url>
<url><loc>https://scifaro.com/en/abs/graph-coarsening-from-scientific-computing-to-machine-learning-2106.11863</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-coarsening-from-scientific-computing-to-machine-learning-2106.11863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-coarsening-from-scientific-computing-to-machine-learning-2106.11863"/></url>
<url><loc>https://scifaro.com/en/abs/netfense-adversarial-defenses-against-privacy-attacks-on-neural-networks-for-graph-data-2106.11865</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/netfense-adversarial-defenses-against-privacy-attacks-on-neural-networks-for-graph-data-2106.11865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/netfense-adversarial-defenses-against-privacy-attacks-on-neural-networks-for-graph-data-2106.11865"/></url>
<url><loc>https://scifaro.com/en/abs/randomness-in-neural-network-training-characterizing-the-impact-of-tooling-2106.11872</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomness-in-neural-network-training-characterizing-the-impact-of-tooling-2106.11872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomness-in-neural-network-training-characterizing-the-impact-of-tooling-2106.11872"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-organ-failure-prediction-with-classifier-guided-generative-adversarial-imputation-networks-2106.11878</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-organ-failure-prediction-with-classifier-guided-generative-adversarial-imputation-networks-2106.11878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-organ-failure-prediction-with-classifier-guided-generative-adversarial-imputation-networks-2106.11878"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-customer-embeddings-for-financial-service-applications-2106.11880</loc><lastmod>2021-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-customer-embeddings-for-financial-service-applications-2106.11880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-customer-embeddings-for-financial-service-applications-2106.11880"/></url>
<url><loc>https://scifaro.com/en/abs/notes-on-the-h-measure-of-classifier-performance-2106.11888</loc><lastmod>2022-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/notes-on-the-h-measure-of-classifier-performance-2106.11888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/notes-on-the-h-measure-of-classifier-performance-2106.11888"/></url>
<url><loc>https://scifaro.com/en/abs/latency-aware-neural-architecture-search-with-multi-objective-bayesian-optimization-2106.11890</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latency-aware-neural-architecture-search-with-multi-objective-bayesian-optimization-2106.11890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latency-aware-neural-architecture-search-with-multi-objective-bayesian-optimization-2106.11890"/></url>
<url><loc>https://scifaro.com/en/abs/making-invisible-visible-data-driven-seismic-inversion-with-spatio-temporally-constrained-data-augmentation-2106.11892</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-invisible-visible-data-driven-seismic-inversion-with-spatio-temporally-constrained-data-augmentation-2106.11892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-invisible-visible-data-driven-seismic-inversion-with-spatio-temporally-constrained-data-augmentation-2106.11892"/></url>
<url><loc>https://scifaro.com/en/abs/local-policy-search-with-bayesian-optimization-2106.11899</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-policy-search-with-bayesian-optimization-2106.11899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-policy-search-with-bayesian-optimization-2106.11899"/></url>
<url><loc>https://scifaro.com/en/abs/dangers-of-bayesian-model-averaging-under-covariate-shift-2106.11905</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dangers-of-bayesian-model-averaging-under-covariate-shift-2106.11905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dangers-of-bayesian-model-averaging-under-covariate-shift-2106.11905"/></url>
<url><loc>https://scifaro.com/en/abs/joint-deep-reversible-regression-model-and-physics-informed-unsupervised-learning-for-temperature-field-reconstruction-2106.11929</loc><lastmod>2022-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-deep-reversible-regression-model-and-physics-informed-unsupervised-learning-for-temperature-field-reconstruction-2106.11929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-deep-reversible-regression-model-and-physics-informed-unsupervised-learning-for-temperature-field-reconstruction-2106.11929"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-importance-of-cross-task-features-for-class-incremental-learning-2106.11930</loc><lastmod>2024-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-importance-of-cross-task-features-for-class-incremental-learning-2106.11930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-importance-of-cross-task-features-for-class-incremental-learning-2106.11930"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-representation-selection-in-low-rank-markov-decision-processes-from-online-to-offline-rl-2106.11935</loc><lastmod>2024-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-representation-selection-in-low-rank-markov-decision-processes-from-online-to-offline-rl-2106.11935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-representation-selection-in-low-rank-markov-decision-processes-from-online-to-offline-rl-2106.11935"/></url>
<url><loc>https://scifaro.com/en/abs/reusing-combinatorial-structure-faster-iterative-projections-over-submodular-base-polytopes-2106.11943</loc><lastmod>2023-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reusing-combinatorial-structure-faster-iterative-projections-over-submodular-base-polytopes-2106.11943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reusing-combinatorial-structure-faster-iterative-projections-over-submodular-base-polytopes-2106.11943"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-deep-learning-models-for-tabular-data-2106.11959</loc><lastmod>2023-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-deep-learning-models-for-tabular-data-2106.11959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-deep-learning-models-for-tabular-data-2106.11959"/></url>
<url><loc>https://scifaro.com/en/abs/variance-aware-off-policy-evaluation-with-linear-function-approximation-2106.11960</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-aware-off-policy-evaluation-with-linear-function-approximation-2106.11960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-aware-off-policy-evaluation-with-linear-function-approximation-2106.11960"/></url>
<url><loc>https://scifaro.com/en/abs/learned-interpretable-residual-extragradient-ista-for-sparse-coding-2106.11970</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learned-interpretable-residual-extragradient-ista-for-sparse-coding-2106.11970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learned-interpretable-residual-extragradient-ista-for-sparse-coding-2106.11970"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-representational-power-of-graph-autoencoder-2106.12005</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-representational-power-of-graph-autoencoder-2106.12005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-representational-power-of-graph-autoencoder-2106.12005"/></url>
<url><loc>https://scifaro.com/en/abs/test-time-collective-prediction-2106.12012</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/test-time-collective-prediction-2106.12012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/test-time-collective-prediction-2106.12012"/></url>
<url><loc>https://scifaro.com/en/abs/q-learning-lagrange-policies-for-multi-action-restless-bandits-2106.12024</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/q-learning-lagrange-policies-for-multi-action-restless-bandits-2106.12024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/q-learning-lagrange-policies-for-multi-action-restless-bandits-2106.12024"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-batch-acquisition-a-simple-baseline-for-deep-active-learning-2106.12059</loc><lastmod>2023-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-batch-acquisition-a-simple-baseline-for-deep-active-learning-2106.12059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-batch-acquisition-a-simple-baseline-for-deep-active-learning-2106.12059"/></url>
<url><loc>https://scifaro.com/en/abs/a-practical-unified-notation-for-information-theoretic-quantities-in-ml-2106.12062</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-practical-unified-notation-for-information-theoretic-quantities-in-ml-2106.12062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-practical-unified-notation-for-information-theoretic-quantities-in-ml-2106.12062"/></url>
<url><loc>https://scifaro.com/en/abs/the-rate-of-convergence-of-variation-constrained-deep-neural-networks-2106.12068</loc><lastmod>2022-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-rate-of-convergence-of-variation-constrained-deep-neural-networks-2106.12068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-rate-of-convergence-of-variation-constrained-deep-neural-networks-2106.12068"/></url>
<url><loc>https://scifaro.com/en/abs/towards-consistent-predictive-confidence-through-fitted-ensembles-2106.12070</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-consistent-predictive-confidence-through-fitted-ensembles-2106.12070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-consistent-predictive-confidence-through-fitted-ensembles-2106.12070"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-health-and-wellbeing-for-shift-workers-using-job-role-based-deep-neural-network-2106.12081</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-health-and-wellbeing-for-shift-workers-using-job-role-based-deep-neural-network-2106.12081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-health-and-wellbeing-for-shift-workers-using-job-role-based-deep-neural-network-2106.12081"/></url>
<url><loc>https://scifaro.com/en/abs/structured-in-space-randomized-in-time-leveraging-dropout-in-rnns-for-efficient-training-2106.12089</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-in-space-randomized-in-time-leveraging-dropout-in-rnns-for-efficient-training-2106.12089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-in-space-randomized-in-time-leveraging-dropout-in-rnns-for-efficient-training-2106.12089"/></url>
<url><loc>https://scifaro.com/en/abs/learning-identity-preserving-transformations-on-data-manifolds-2106.12096</loc><lastmod>2023-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-identity-preserving-transformations-on-data-manifolds-2106.12096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-identity-preserving-transformations-on-data-manifolds-2106.12096"/></url>
<url><loc>https://scifaro.com/en/abs/regret-optimal-estimation-and-control-2106.12097</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-optimal-estimation-and-control-2106.12097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-optimal-estimation-and-control-2106.12097"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-linear-regression-under-distribution-shift-2106.12108</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-linear-regression-under-distribution-shift-2106.12108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-linear-regression-under-distribution-shift-2106.12108"/></url>
<url><loc>https://scifaro.com/en/abs/bregman-gradient-policy-optimization-2106.12112</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bregman-gradient-policy-optimization-2106.12112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bregman-gradient-policy-optimization-2106.12112"/></url>
<url><loc>https://scifaro.com/en/abs/secure-domain-adaptation-with-multiple-sources-2106.12124</loc><lastmod>2022-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secure-domain-adaptation-with-multiple-sources-2106.12124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secure-domain-adaptation-with-multiple-sources-2106.12124"/></url>
<url><loc>https://scifaro.com/en/abs/deep-gaussian-processes-a-survey-2106.12135</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-gaussian-processes-a-survey-2106.12135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-gaussian-processes-a-survey-2106.12135"/></url>
<url><loc>https://scifaro.com/en/abs/iq-learn-inverse-soft-q-learning-for-imitation-2106.12142</loc><lastmod>2022-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iq-learn-inverse-soft-q-learning-for-imitation-2106.12142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iq-learn-inverse-soft-q-learning-for-imitation-2106.12142"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-network-based-respiratory-pathology-classification-using-cough-sounds-2106.12174</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-based-respiratory-pathology-classification-using-cough-sounds-2106.12174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-based-respiratory-pathology-classification-using-cough-sounds-2106.12174"/></url>
<url><loc>https://scifaro.com/en/abs/imitation-learning-progress-taxonomies-and-challenges-2106.12177</loc><lastmod>2022-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitation-learning-progress-taxonomies-and-challenges-2106.12177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitation-learning-progress-taxonomies-and-challenges-2106.12177"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-for-image-generation-with-uncertain-sensitive-attributes-2106.12182</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-for-image-generation-with-uncertain-sensitive-attributes-2106.12182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-for-image-generation-with-uncertain-sensitive-attributes-2106.12182"/></url>
<url><loc>https://scifaro.com/en/abs/multiband-vae-latent-space-alignment-for-knowledge-consolidation-in-continual-learning-2106.12196</loc><lastmod>2022-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiband-vae-latent-space-alignment-for-knowledge-consolidation-in-continual-learning-2106.12196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiband-vae-latent-space-alignment-for-knowledge-consolidation-in-continual-learning-2106.12196"/></url>
<url><loc>https://scifaro.com/en/abs/random-effect-bandits-2106.12200</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-effect-bandits-2106.12200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-effect-bandits-2106.12200"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-approach-to-fair-online-learning-via-blackwell-approachability-2106.12242</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-approach-to-fair-online-learning-via-blackwell-approachability-2106.12242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-approach-to-fair-online-learning-via-blackwell-approachability-2106.12242"/></url>
<url><loc>https://scifaro.com/en/abs/adavi-automatic-dual-amortized-variational-inference-applied-to-pyramidal-bayesian-models-2106.12248</loc><lastmod>2022-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adavi-automatic-dual-amortized-variational-inference-applied-to-pyramidal-bayesian-models-2106.12248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adavi-automatic-dual-amortized-variational-inference-applied-to-pyramidal-bayesian-models-2106.12248"/></url>
<url><loc>https://scifaro.com/en/abs/learning-under-delayed-feedback-implicitly-adapting-to-gradient-delays-2106.12261</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-under-delayed-feedback-implicitly-adapting-to-gradient-delays-2106.12261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-under-delayed-feedback-implicitly-adapting-to-gradient-delays-2106.12261"/></url>
<url><loc>https://scifaro.com/en/abs/behavior-mimics-distribution-combining-individual-and-group-behaviors-for-federated-learning-2106.12300</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/behavior-mimics-distribution-combining-individual-and-group-behaviors-for-federated-learning-2106.12300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/behavior-mimics-distribution-combining-individual-and-group-behaviors-for-federated-learning-2106.12300"/></url>
<url><loc>https://scifaro.com/en/abs/should-you-go-deeper-optimizing-convolutional-neural-network-architectures-without-training-by-receptive-field-analysis-2106.12307</loc><lastmod>2022-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/should-you-go-deeper-optimizing-convolutional-neural-network-architectures-without-training-by-receptive-field-analysis-2106.12307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/should-you-go-deeper-optimizing-convolutional-neural-network-architectures-without-training-by-receptive-field-analysis-2106.12307"/></url>
<url><loc>https://scifaro.com/en/abs/learning-explainable-representations-of-malware-behavior-2106.12328</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-explainable-representations-of-malware-behavior-2106.12328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-explainable-representations-of-malware-behavior-2106.12328"/></url>
<url><loc>https://scifaro.com/en/abs/ac-dc-alternating-compressed-decompressed-training-of-deep-neural-networks-2106.12379</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ac-dc-alternating-compressed-decompressed-training-of-deep-neural-networks-2106.12379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ac-dc-alternating-compressed-decompressed-training-of-deep-neural-networks-2106.12379"/></url>
<url><loc>https://scifaro.com/en/abs/false-perfection-in-machine-prediction-detecting-and-assessing-circularity-problems-in-machine-learning-2106.12417</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/false-perfection-in-machine-prediction-detecting-and-assessing-circularity-problems-in-machine-learning-2106.12417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/false-perfection-in-machine-prediction-detecting-and-assessing-circularity-problems-in-machine-learning-2106.12417"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-predictions-in-neural-odes-identification-and-interventions-2106.12430</loc><lastmod>2025-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-predictions-in-neural-odes-identification-and-interventions-2106.12430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-predictions-in-neural-odes-identification-and-interventions-2106.12430"/></url>
<url><loc>https://scifaro.com/en/abs/from-canonical-correlation-analysis-to-self-supervised-graph-neural-networks-2106.12484</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-canonical-correlation-analysis-to-self-supervised-graph-neural-networks-2106.12484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-canonical-correlation-analysis-to-self-supervised-graph-neural-networks-2106.12484"/></url>
<url><loc>https://scifaro.com/en/abs/training-data-subset-selection-for-regression-with-controlled-generalization-error-2106.12491</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-data-subset-selection-for-regression-with-controlled-generalization-error-2106.12491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-data-subset-selection-for-regression-with-controlled-generalization-error-2106.12491"/></url>
<url><loc>https://scifaro.com/en/abs/universal-consistency-of-deep-convolutional-neural-networks-2106.12498</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-consistency-of-deep-convolutional-neural-networks-2106.12498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-consistency-of-deep-convolutional-neural-networks-2106.12498"/></url>
<url><loc>https://scifaro.com/en/abs/who-leads-and-who-follows-in-strategic-classification-2106.12529</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/who-leads-and-who-follows-in-strategic-classification-2106.12529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/who-leads-and-who-follows-in-strategic-classification-2106.12529"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-deep-learning-hyperparameter-search-for-robust-function-mapping-to-polynomials-with-noise-2106.12532</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-deep-learning-hyperparameter-search-for-robust-function-mapping-to-polynomials-with-noise-2106.12532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-deep-learning-hyperparameter-search-for-robust-function-mapping-to-polynomials-with-noise-2106.12532"/></url>
<url><loc>https://scifaro.com/en/abs/learning-stochastic-majority-votes-by-minimizing-a-pac-bayes-generalization-bound-2106.12535</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-stochastic-majority-votes-by-minimizing-a-pac-bayes-generalization-bound-2106.12535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-stochastic-majority-votes-by-minimizing-a-pac-bayes-generalization-bound-2106.12535"/></url>
<url><loc>https://scifaro.com/en/abs/synthetic-benchmarks-for-scientific-research-in-explainable-machine-learning-2106.12543</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthetic-benchmarks-for-scientific-research-in-explainable-machine-learning-2106.12543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthetic-benchmarks-for-scientific-research-in-explainable-machine-learning-2106.12543"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-outdoor-localization-using-radio-maps-a-deep-learning-approach-2106.12556</loc><lastmod>2023-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-outdoor-localization-using-radio-maps-a-deep-learning-approach-2106.12556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-outdoor-localization-using-radio-maps-a-deep-learning-approach-2106.12556"/></url>
<url><loc>https://scifaro.com/en/abs/fine-grained-data-selection-for-improved-energy-efficiency-of-federated-edge-learning-2106.12561</loc><lastmod>2021-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fine-grained-data-selection-for-improved-energy-efficiency-of-federated-edge-learning-2106.12561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fine-grained-data-selection-for-improved-energy-efficiency-of-federated-edge-learning-2106.12561"/></url>
<url><loc>https://scifaro.com/en/abs/feature-alignment-as-a-generative-process-2106.12562</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-alignment-as-a-generative-process-2106.12562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-alignment-as-a-generative-process-2106.12562"/></url>
<url><loc>https://scifaro.com/en/abs/feature-attributions-and-counterfactual-explanations-can-be-manipulated-2106.12563</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-attributions-and-counterfactual-explanations-can-be-manipulated-2106.12563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-attributions-and-counterfactual-explanations-can-be-manipulated-2106.12563"/></url>
<url><loc>https://scifaro.com/en/abs/stable-fast-and-accurate-kernelized-attention-with-relative-positional-encoding-2106.12566</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-fast-and-accurate-kernelized-attention-with-relative-positional-encoding-2106.12566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-fast-and-accurate-kernelized-attention-with-relative-positional-encoding-2106.12566"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multimodal-vaes-through-mutual-supervision-2106.12570</loc><lastmod>2022-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multimodal-vaes-through-mutual-supervision-2106.12570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multimodal-vaes-through-mutual-supervision-2106.12570"/></url>
<url><loc>https://scifaro.com/en/abs/weisfeiler-and-lehman-go-cellular-cw-networks-2106.12575</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weisfeiler-and-lehman-go-cellular-cw-networks-2106.12575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weisfeiler-and-lehman-go-cellular-cw-networks-2106.12575"/></url>
<url><loc>https://scifaro.com/en/abs/dp-sgd-vs-pate-which-has-less-disparate-impact-on-model-accuracy-2106.12576</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dp-sgd-vs-pate-which-has-less-disparate-impact-on-model-accuracy-2106.12576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dp-sgd-vs-pate-which-has-less-disparate-impact-on-model-accuracy-2106.12576"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-examples-in-multi-layer-random-relu-networks-2106.12611</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-examples-in-multi-layer-random-relu-networks-2106.12611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-examples-in-multi-layer-random-relu-networks-2106.12611"/></url>
<url><loc>https://scifaro.com/en/abs/minimum-sharpness-scale-invariant-parameter-robustness-of-neural-networks-2106.12612</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimum-sharpness-scale-invariant-parameter-robustness-of-neural-networks-2106.12612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimum-sharpness-scale-invariant-parameter-robustness-of-neural-networks-2106.12612"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-semantically-similar-queries-for-ranking-via-combining-representations-2106.12621</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-semantically-similar-queries-for-ranking-via-combining-representations-2106.12621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-semantically-similar-queries-for-ranking-via-combining-representations-2106.12621"/></url>
<url><loc>https://scifaro.com/en/abs/transformer-based-unsupervised-patient-representation-learning-based-on-medical-claims-for-risk-stratification-and-analysis-2106.12658</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformer-based-unsupervised-patient-representation-learning-based-on-medical-claims-for-risk-stratification-and-analysis-2106.12658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformer-based-unsupervised-patient-representation-learning-based-on-medical-claims-for-risk-stratification-and-analysis-2106.12658"/></url>
<url><loc>https://scifaro.com/en/abs/reimagining-gnn-explanations-with-ideas-from-tabular-data-2106.12665</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reimagining-gnn-explanations-with-ideas-from-tabular-data-2106.12665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reimagining-gnn-explanations-with-ideas-from-tabular-data-2106.12665"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-via-representation-neutralization-2106.12674</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-via-representation-neutralization-2106.12674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-via-representation-neutralization-2106.12674"/></url>
<url><loc>https://scifaro.com/en/abs/best-case-lower-bounds-in-online-learning-2106.12688</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-case-lower-bounds-in-online-learning-2106.12688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-case-lower-bounds-in-online-learning-2106.12688"/></url>
<url><loc>https://scifaro.com/en/abs/dungeon-and-platformer-level-blending-and-generation-using-conditional-vaes-2106.12692</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dungeon-and-platformer-level-blending-and-generation-using-conditional-vaes-2106.12692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dungeon-and-platformer-level-blending-and-generation-using-conditional-vaes-2106.12692"/></url>
<url><loc>https://scifaro.com/en/abs/long-short-term-relevance-learning-2106.12694</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-short-term-relevance-learning-2106.12694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-short-term-relevance-learning-2106.12694"/></url>
<url><loc>https://scifaro.com/en/abs/distilling-the-knowledge-from-conditional-normalizing-flows-2106.12699</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilling-the-knowledge-from-conditional-normalizing-flows-2106.12699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilling-the-knowledge-from-conditional-normalizing-flows-2106.12699"/></url>
<url><loc>https://scifaro.com/en/abs/alternative-microfoundations-for-strategic-classification-2106.12705</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alternative-microfoundations-for-strategic-classification-2106.12705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alternative-microfoundations-for-strategic-classification-2106.12705"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-flows-pruning-continuous-depth-models-2106.12718</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-flows-pruning-continuous-depth-models-2106.12718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-flows-pruning-continuous-depth-models-2106.12718"/></url>
<url><loc>https://scifaro.com/en/abs/meaningfully-debugging-model-mistakes-using-conceptual-counterfactual-explanations-2106.12723</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meaningfully-debugging-model-mistakes-using-conceptual-counterfactual-explanations-2106.12723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meaningfully-debugging-model-mistakes-using-conceptual-counterfactual-explanations-2106.12723"/></url>
<url><loc>https://scifaro.com/en/abs/finite-sample-analysis-of-off-policy-td-learning-via-generalized-bellman-operators-2106.12729</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-sample-analysis-of-off-policy-td-learning-via-generalized-bellman-operators-2106.12729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-sample-analysis-of-off-policy-td-learning-via-generalized-bellman-operators-2106.12729"/></url>
<url><loc>https://scifaro.com/en/abs/online-verification-of-deep-neural-networks-under-domain-shift-or-network-updates-2106.12732</loc><lastmod>2023-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-verification-of-deep-neural-networks-under-domain-shift-or-network-updates-2106.12732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-verification-of-deep-neural-networks-under-domain-shift-or-network-updates-2106.12732"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-based-orchestration-of-containers-a-taxonomy-and-future-directions-2106.12739</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-based-orchestration-of-containers-a-taxonomy-and-future-directions-2106.12739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-based-orchestration-of-containers-a-taxonomy-and-future-directions-2106.12739"/></url>
<url><loc>https://scifaro.com/en/abs/automated-agriculture-commodity-price-prediction-system-with-machine-learning-techniques-2106.12747</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-agriculture-commodity-price-prediction-system-with-machine-learning-techniques-2106.12747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-agriculture-commodity-price-prediction-system-with-machine-learning-techniques-2106.12747"/></url>
<url><loc>https://scifaro.com/en/abs/density-constrained-reinforcement-learning-2106.12764</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-constrained-reinforcement-learning-2106.12764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-constrained-reinforcement-learning-2106.12764"/></url>
<url><loc>https://scifaro.com/en/abs/factors-affecting-the-covid-19-risk-in-the-us-counties-an-innovative-approach-by-combining-unsupervised-and-supervised-learning-2106.12766</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factors-affecting-the-covid-19-risk-in-the-us-counties-an-innovative-approach-by-combining-unsupervised-and-supervised-learning-2106.12766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factors-affecting-the-covid-19-risk-in-the-us-counties-an-innovative-approach-by-combining-unsupervised-and-supervised-learning-2106.12766"/></url>
<url><loc>https://scifaro.com/en/abs/task-agnostic-continual-learning-with-hybrid-probabilistic-models-2106.12772</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-agnostic-continual-learning-with-hybrid-probabilistic-models-2106.12772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-agnostic-continual-learning-with-hybrid-probabilistic-models-2106.12772"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-saliency-based-explainability-method-2106.12773</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-saliency-based-explainability-method-2106.12773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-saliency-based-explainability-method-2106.12773"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-systematic-selection-of-clustering-algorithms-and-their-evaluation-2106.12792</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-systematic-selection-of-clustering-algorithms-and-their-evaluation-2106.12792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-systematic-selection-of-clustering-algorithms-and-their-evaluation-2106.12792"/></url>
<url><loc>https://scifaro.com/en/abs/simple-truncated-svd-based-model-for-node-classification-on-heterophilic-graphs-2106.12807</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-truncated-svd-based-model-for-node-classification-on-heterophilic-graphs-2106.12807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-truncated-svd-based-model-for-node-classification-on-heterophilic-graphs-2106.12807"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-graph-neural-networks-with-corgie-corresponding-a-graph-to-its-embedding-2106.12839</loc><lastmod>2025-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-graph-neural-networks-with-corgie-corresponding-a-graph-to-its-embedding-2106.12839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-graph-neural-networks-with-corgie-corresponding-a-graph-to-its-embedding-2106.12839"/></url>
<url><loc>https://scifaro.com/en/abs/dcom-a-deep-column-mapper-for-semantic-data-type-detection-2106.12871</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dcom-a-deep-column-mapper-for-semantic-data-type-detection-2106.12871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dcom-a-deep-column-mapper-for-semantic-data-type-detection-2106.12871"/></url>
<url><loc>https://scifaro.com/en/abs/a-near-optimal-algorithm-for-debiasing-trained-machine-learning-models-2106.12887</loc><lastmod>2022-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-near-optimal-algorithm-for-debiasing-trained-machine-learning-models-2106.12887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-near-optimal-algorithm-for-debiasing-trained-machine-learning-models-2106.12887"/></url>
<url><loc>https://scifaro.com/en/abs/covid-19-cases-prediction-using-regression-and-novel-ssm-model-for-non-converged-countries-2106.12888</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covid-19-cases-prediction-using-regression-and-novel-ssm-model-for-non-converged-countries-2106.12888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covid-19-cases-prediction-using-regression-and-novel-ssm-model-for-non-converged-countries-2106.12888"/></url>
<url><loc>https://scifaro.com/en/abs/encoding-involutory-invariances-in-neural-networks-2106.12891</loc><lastmod>2022-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encoding-involutory-invariances-in-neural-networks-2106.12891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encoding-involutory-invariances-in-neural-networks-2106.12891"/></url>
<url><loc>https://scifaro.com/en/abs/partial-wasserstein-and-maximum-mean-discrepancy-distances-for-bridging-the-gap-between-outlier-detection-and-drift-detection-2106.12893</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-wasserstein-and-maximum-mean-discrepancy-distances-for-bridging-the-gap-between-outlier-detection-and-drift-detection-2106.12893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-wasserstein-and-maximum-mean-discrepancy-distances-for-bridging-the-gap-between-outlier-detection-and-drift-detection-2106.12893"/></url>
<url><loc>https://scifaro.com/en/abs/inflow-robust-outlier-detection-utilizing-normalizing-flows-2106.12894</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inflow-robust-outlier-detection-utilizing-normalizing-flows-2106.12894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inflow-robust-outlier-detection-utilizing-normalizing-flows-2106.12894"/></url>
<url><loc>https://scifaro.com/en/abs/rsoccer-a-framework-for-studying-reinforcement-learning-in-small-and-very-small-size-robot-soccer-2106.12895</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rsoccer-a-framework-for-studying-reinforcement-learning-in-small-and-very-small-size-robot-soccer-2106.12895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rsoccer-a-framework-for-studying-reinforcement-learning-in-small-and-very-small-size-robot-soccer-2106.12895"/></url>
<url><loc>https://scifaro.com/en/abs/long-term-cross-adversarial-training-a-robust-meta-learning-method-for-few-shot-classification-tasks-2106.12900</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-term-cross-adversarial-training-a-robust-meta-learning-method-for-few-shot-classification-tasks-2106.12900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-term-cross-adversarial-training-a-robust-meta-learning-method-for-few-shot-classification-tasks-2106.12900"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-network-from-adder-s-perspective-carry-lookahead-rnn-2106.12901</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-network-from-adder-s-perspective-carry-lookahead-rnn-2106.12901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-network-from-adder-s-perspective-carry-lookahead-rnn-2106.12901"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-for-dengue-forecasting-a-systematic-review-2106.12905</loc><lastmod>2025-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-for-dengue-forecasting-a-systematic-review-2106.12905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-for-dengue-forecasting-a-systematic-review-2106.12905"/></url>
<url><loc>https://scifaro.com/en/abs/information-bottleneck-exact-analysis-of-quantized-neural-networks-2106.12912</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-bottleneck-exact-analysis-of-quantized-neural-networks-2106.12912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-bottleneck-exact-analysis-of-quantized-neural-networks-2106.12912"/></url>
<url><loc>https://scifaro.com/en/abs/numerical-influence-of-relu-0-on-backpropagation-2106.12915</loc><lastmod>2023-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/numerical-influence-of-relu-0-on-backpropagation-2106.12915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/numerical-influence-of-relu-0-on-backpropagation-2106.12915"/></url>
<url><loc>https://scifaro.com/en/abs/l-apprentissage-automatique-dans-la-planification-et-le-contr-o-le-de-la-production-un-e-tat-de-l-art-2106.12916</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l-apprentissage-automatique-dans-la-planification-et-le-contr-o-le-de-la-production-un-e-tat-de-l-art-2106.12916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l-apprentissage-automatique-dans-la-planification-et-le-contr-o-le-de-la-production-un-e-tat-de-l-art-2106.12916"/></url>
<url><loc>https://scifaro.com/en/abs/learnt-sparsification-for-interpretable-graph-neural-networks-2106.12920</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learnt-sparsification-for-interpretable-graph-neural-networks-2106.12920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learnt-sparsification-for-interpretable-graph-neural-networks-2106.12920"/></url>
<url><loc>https://scifaro.com/en/abs/using-machine-learning-techniques-to-predict-hospital-admission-at-the-emergency-department-2106.12921</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-machine-learning-techniques-to-predict-hospital-admission-at-the-emergency-department-2106.12921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-machine-learning-techniques-to-predict-hospital-admission-at-the-emergency-department-2106.12921"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-temporal-graph-ode-networks-for-traffic-flow-forecasting-2106.12931</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-temporal-graph-ode-networks-for-traffic-flow-forecasting-2106.12931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-temporal-graph-ode-networks-for-traffic-flow-forecasting-2106.12931"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multiple-stock-trading-patterns-with-temporal-routing-adaptor-and-optimal-transport-2106.12950</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multiple-stock-trading-patterns-with-temporal-routing-adaptor-and-optimal-transport-2106.12950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multiple-stock-trading-patterns-with-temporal-routing-adaptor-and-optimal-transport-2106.12950"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-algorithms-for-clustering-with-stability-assumptions-2106.12959</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-algorithms-for-clustering-with-stability-assumptions-2106.12959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-algorithms-for-clustering-with-stability-assumptions-2106.12959"/></url>
<url><loc>https://scifaro.com/en/abs/objective-discovery-of-dominant-dynamical-processes-with-intelligible-machine-learning-2106.12963</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/objective-discovery-of-dominant-dynamical-processes-with-intelligible-machine-learning-2106.12963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/objective-discovery-of-dominant-dynamical-processes-with-intelligible-machine-learning-2106.12963"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-topic-segmentation-of-meetings-with-bert-embeddings-2106.12978</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-topic-segmentation-of-meetings-with-bert-embeddings-2106.12978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-topic-segmentation-of-meetings-with-bert-embeddings-2106.12978"/></url>
<url><loc>https://scifaro.com/en/abs/abstraction-of-markov-population-dynamics-via-generative-adversarial-nets-2106.12981</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abstraction-of-markov-population-dynamics-via-generative-adversarial-nets-2106.12981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abstraction-of-markov-population-dynamics-via-generative-adversarial-nets-2106.12981"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-with-high-dimensional-outputs-2106.12997</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-with-high-dimensional-outputs-2106.12997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-with-high-dimensional-outputs-2106.12997"/></url>
<url><loc>https://scifaro.com/en/abs/autoformer-decomposition-transformers-with-auto-correlation-for-long-term-series-forecasting-2106.13008</loc><lastmod>2022-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoformer-decomposition-transformers-with-auto-correlation-for-long-term-series-forecasting-2106.13008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoformer-decomposition-transformers-with-auto-correlation-for-long-term-series-forecasting-2106.13008"/></url>
<url><loc>https://scifaro.com/en/abs/a-fully-problem-dependent-regret-lower-bound-for-finite-horizon-mdps-2106.13013</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fully-problem-dependent-regret-lower-bound-for-finite-horizon-mdps-2106.13013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fully-problem-dependent-regret-lower-bound-for-finite-horizon-mdps-2106.13013"/></url>
<url><loc>https://scifaro.com/en/abs/improved-regret-bounds-for-tracking-experts-with-memory-2106.13021</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-regret-bounds-for-tracking-experts-with-memory-2106.13021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-regret-bounds-for-tracking-experts-with-memory-2106.13021"/></url>
<url><loc>https://scifaro.com/en/abs/symmetric-wasserstein-autoencoders-2106.13024</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symmetric-wasserstein-autoencoders-2106.13024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symmetric-wasserstein-autoencoders-2106.13024"/></url>
<url><loc>https://scifaro.com/en/abs/towards-biologically-plausible-convolutional-networks-2106.13031</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-biologically-plausible-convolutional-networks-2106.13031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-biologically-plausible-convolutional-networks-2106.13031"/></url>
<url><loc>https://scifaro.com/en/abs/mix-and-mask-actor-critic-methods-2106.13037</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mix-and-mask-actor-critic-methods-2106.13037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mix-and-mask-actor-critic-methods-2106.13037"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-federated-learning-with-contextualized-generalization-2106.13044</loc><lastmod>2022-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-federated-learning-with-contextualized-generalization-2106.13044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-federated-learning-with-contextualized-generalization-2106.13044"/></url>
<url><loc>https://scifaro.com/en/abs/fold2seq-a-joint-sequence-1d-fold-3d-embedding-based-generative-model-for-protein-design-2106.13058</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fold2seq-a-joint-sequence-1d-fold-3d-embedding-based-generative-model-for-protein-design-2106.13058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fold2seq-a-joint-sequence-1d-fold-3d-embedding-based-generative-model-for-protein-design-2106.13058"/></url>
<url><loc>https://scifaro.com/en/abs/fea2fea-exploring-structural-feature-correlations-via-graph-neural-networks-2106.13061</loc><lastmod>2022-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fea2fea-exploring-structural-feature-correlations-via-graph-neural-networks-2106.13061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fea2fea-exploring-structural-feature-correlations-via-graph-neural-networks-2106.13061"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-tensor-contraction-via-fast-count-sketch-2106.13062</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-tensor-contraction-via-fast-count-sketch-2106.13062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-tensor-contraction-via-fast-count-sketch-2106.13062"/></url>
<url><loc>https://scifaro.com/en/abs/shallow-representation-is-deep-learning-uncertainty-aware-and-worst-case-random-feature-dynamics-2106.13066</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shallow-representation-is-deep-learning-uncertainty-aware-and-worst-case-random-feature-dynamics-2106.13066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shallow-representation-is-deep-learning-uncertainty-aware-and-worst-case-random-feature-dynamics-2106.13066"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-threats-analysis-to-secure-federated-learning-2106.13076</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-threats-analysis-to-secure-federated-learning-2106.13076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-threats-analysis-to-secure-federated-learning-2106.13076"/></url>
<url><loc>https://scifaro.com/en/abs/pre-training-transformer-based-framework-on-large-scale-pediatric-claims-data-for-downstream-population-specific-tasks-2106.13095</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pre-training-transformer-based-framework-on-large-scale-pediatric-claims-data-for-downstream-population-specific-tasks-2106.13095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pre-training-transformer-based-framework-on-large-scale-pediatric-claims-data-for-downstream-population-specific-tasks-2106.13095"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-spread-of-covid-19-epidemic-a-spatio-temporal-point-process-view-2106.13097</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-spread-of-covid-19-epidemic-a-spatio-temporal-point-process-view-2106.13097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-spread-of-covid-19-epidemic-a-spatio-temporal-point-process-view-2106.13097"/></url>
<url><loc>https://scifaro.com/en/abs/ff-nsl-feed-forward-neural-symbolic-learner-2106.13103</loc><lastmod>2023-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ff-nsl-feed-forward-neural-symbolic-learner-2106.13103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ff-nsl-feed-forward-neural-symbolic-learner-2106.13103"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-gradient-estimators-for-meta-reinforcement-learning-via-off-policy-evaluation-2106.13125</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-gradient-estimators-for-meta-reinforcement-learning-via-off-policy-evaluation-2106.13125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-gradient-estimators-for-meta-reinforcement-learning-via-off-policy-evaluation-2106.13125"/></url>
<url><loc>https://scifaro.com/en/abs/towards-fully-interpretable-deep-neural-networks-are-we-there-yet-2106.13164</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-fully-interpretable-deep-neural-networks-are-we-there-yet-2106.13164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-fully-interpretable-deep-neural-networks-are-we-there-yet-2106.13164"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-approach-to-private-data-sharing-of-medical-images-using-conditional-gans-2106.13199</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-private-data-sharing-of-medical-images-using-conditional-gans-2106.13199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-private-data-sharing-of-medical-images-using-conditional-gans-2106.13199"/></url>
<url><loc>https://scifaro.com/en/abs/software-for-dataset-wide-xai-from-local-explanations-to-global-insights-with-zennit-corelay-and-virelay-2106.13200</loc><lastmod>2023-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/software-for-dataset-wide-xai-from-local-explanations-to-global-insights-with-zennit-corelay-and-virelay-2106.13200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/software-for-dataset-wide-xai-from-local-explanations-to-global-insights-with-zennit-corelay-and-virelay-2106.13200"/></url>
<url><loc>https://scifaro.com/en/abs/learning-language-and-multimodal-privacy-preserving-markers-of-mood-from-mobile-data-2106.13213</loc><lastmod>2021-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-language-and-multimodal-privacy-preserving-markers-of-mood-from-mobile-data-2106.13213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-language-and-multimodal-privacy-preserving-markers-of-mood-from-mobile-data-2106.13213"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-reinforcement-learning-via-latent-space-collocation-2106.13229</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-via-latent-space-collocation-2106.13229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-reinforcement-learning-via-latent-space-collocation-2106.13229"/></url>
<url><loc>https://scifaro.com/en/abs/post-selections-in-ai-and-how-to-avoid-them-2106.13233</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-selections-in-ai-and-how-to-avoid-them-2106.13233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-selections-in-ai-and-how-to-avoid-them-2106.13233"/></url>
<url><loc>https://scifaro.com/en/abs/hate-speech-detection-in-clubhouse-2106.13238</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hate-speech-detection-in-clubhouse-2106.13238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hate-speech-detection-in-clubhouse-2106.13238"/></url>
<url><loc>https://scifaro.com/en/abs/federated-noisy-client-learning-2106.13239</loc><lastmod>2022-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-noisy-client-learning-2106.13239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-noisy-client-learning-2106.13239"/></url>
<url><loc>https://scifaro.com/en/abs/you-are-allset-a-multiset-function-framework-for-hypergraph-neural-networks-2106.13264</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/you-are-allset-a-multiset-function-framework-for-hypergraph-neural-networks-2106.13264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/you-are-allset-a-multiset-function-framework-for-hypergraph-neural-networks-2106.13264"/></url>
<url><loc>https://scifaro.com/en/abs/disease-progression-modeling-workbench-360-2106.13265</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disease-progression-modeling-workbench-360-2106.13265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disease-progression-modeling-workbench-360-2106.13265"/></url>
<url><loc>https://scifaro.com/en/abs/multitask-learning-for-citation-purpose-classification-2106.13275</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multitask-learning-for-citation-purpose-classification-2106.13275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multitask-learning-for-citation-purpose-classification-2106.13275"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-high-impedance-fault-detection-convolutional-autoencoders-2106.13276</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-high-impedance-fault-detection-convolutional-autoencoders-2106.13276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-high-impedance-fault-detection-convolutional-autoencoders-2106.13276"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-learning-of-the-conformational-dynamics-of-molecules-using-dynamic-graph-neural-networks-2106.13277</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-learning-of-the-conformational-dynamics-of-molecules-using-dynamic-graph-neural-networks-2106.13277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-learning-of-the-conformational-dynamics-of-molecules-using-dynamic-graph-neural-networks-2106.13277"/></url>
<url><loc>https://scifaro.com/en/abs/continual-competitive-memory-a-neural-system-for-online-task-free-lifelong-learning-2106.13300</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-competitive-memory-a-neural-system-for-online-task-free-lifelong-learning-2106.13300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-competitive-memory-a-neural-system-for-online-task-free-lifelong-learning-2106.13300"/></url>
<url><loc>https://scifaro.com/en/abs/promises-and-pitfalls-of-black-box-concept-learning-models-2106.13314</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/promises-and-pitfalls-of-black-box-concept-learning-models-2106.13314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/promises-and-pitfalls-of-black-box-concept-learning-models-2106.13314"/></url>
<url><loc>https://scifaro.com/en/abs/domain-guided-machine-learning-for-remotely-sensed-in-season-crop-growth-estimation-2106.13323</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-guided-machine-learning-for-remotely-sensed-in-season-crop-growth-estimation-2106.13323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-guided-machine-learning-for-remotely-sensed-in-season-crop-growth-estimation-2106.13323"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-un-avoidability-of-adversarial-examples-2106.13326</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-un-avoidability-of-adversarial-examples-2106.13326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-un-avoidability-of-adversarial-examples-2106.13326"/></url>
<url><loc>https://scifaro.com/en/abs/covariance-aware-private-mean-estimation-without-private-covariance-estimation-2106.13329</loc><lastmod>2024-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariance-aware-private-mean-estimation-without-private-covariance-estimation-2106.13329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariance-aware-private-mean-estimation-without-private-covariance-estimation-2106.13329"/></url>
<url><loc>https://scifaro.com/en/abs/what-will-it-take-to-generate-fairness-preserving-explanations-2106.13346</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-will-it-take-to-generate-fairness-preserving-explanations-2106.13346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-will-it-take-to-generate-fairness-preserving-explanations-2106.13346"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-inference-in-high-dimensional-time-serieswith-the-orthogonal-stochastic-linear-mixing-model-2106.13379</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-inference-in-high-dimensional-time-serieswith-the-orthogonal-stochastic-linear-mixing-model-2106.13379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-inference-in-high-dimensional-time-serieswith-the-orthogonal-stochastic-linear-mixing-model-2106.13379"/></url>
<url><loc>https://scifaro.com/en/abs/decomposed-mutual-information-estimation-for-contrastive-representation-learning-2106.13401</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decomposed-mutual-information-estimation-for-contrastive-representation-learning-2106.13401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decomposed-mutual-information-estimation-for-contrastive-representation-learning-2106.13401"/></url>
<url><loc>https://scifaro.com/en/abs/fine-grained-geolocation-prediction-of-tweets-with-human-machine-collaboration-2106.13411</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fine-grained-geolocation-prediction-of-tweets-with-human-machine-collaboration-2106.13411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fine-grained-geolocation-prediction-of-tweets-with-human-machine-collaboration-2106.13411"/></url>
<url><loc>https://scifaro.com/en/abs/federated-graph-classification-over-non-iid-graphs-2106.13423</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-graph-classification-over-non-iid-graphs-2106.13423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-graph-classification-over-non-iid-graphs-2106.13423"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-graph-neural-network-explanations-through-adversarial-training-2106.13427</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-graph-neural-network-explanations-through-adversarial-training-2106.13427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-graph-neural-network-explanations-through-adversarial-training-2106.13427"/></url>
<url><loc>https://scifaro.com/en/abs/branch-prediction-as-a-reinforcement-learning-problem-why-how-and-case-studies-2106.13429</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/branch-prediction-as-a-reinforcement-learning-problem-why-how-and-case-studies-2106.13429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/branch-prediction-as-a-reinforcement-learning-problem-why-how-and-case-studies-2106.13429"/></url>
<url><loc>https://scifaro.com/en/abs/subgraph-federated-learning-with-missing-neighbor-generation-2106.13430</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subgraph-federated-learning-with-missing-neighbor-generation-2106.13430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subgraph-federated-learning-with-missing-neighbor-generation-2106.13430"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-model-based-and-learning-based-approach-for-classification-using-limited-number-of-training-samples-2106.13436</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-model-based-and-learning-based-approach-for-classification-using-limited-number-of-training-samples-2106.13436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-model-based-and-learning-based-approach-for-classification-using-limited-number-of-training-samples-2106.13436"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-criminal-charge-prediction-and-its-algorithmic-bias-via-quantum-inspired-complex-valued-networks-2106.13456</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-criminal-charge-prediction-and-its-algorithmic-bias-via-quantum-inspired-complex-valued-networks-2106.13456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-criminal-charge-prediction-and-its-algorithmic-bias-via-quantum-inspired-complex-valued-networks-2106.13456"/></url>
<url><loc>https://scifaro.com/en/abs/limitations-of-machine-learning-for-building-energy-prediction-ashrae-great-energy-predictor-iii-kaggle-competition-error-analysis-2106.13475</loc><lastmod>2022-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limitations-of-machine-learning-for-building-energy-prediction-ashrae-great-energy-predictor-iii-kaggle-competition-error-analysis-2106.13475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limitations-of-machine-learning-for-building-energy-prediction-ashrae-great-energy-predictor-iii-kaggle-competition-error-analysis-2106.13475"/></url>
<url><loc>https://scifaro.com/en/abs/data-based-design-of-inferential-sensors-for-petrochemical-industry-2106.13503</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-based-design-of-inferential-sensors-for-petrochemical-industry-2106.13503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-based-design-of-inferential-sensors-for-petrochemical-industry-2106.13503"/></url>
<url><loc>https://scifaro.com/en/abs/littlestone-classes-are-privately-online-learnable-2106.13513</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/littlestone-classes-are-privately-online-learnable-2106.13513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/littlestone-classes-are-privately-online-learnable-2106.13513"/></url>
<url><loc>https://scifaro.com/en/abs/multi-domain-active-learning-literature-review-and-comparative-study-2106.13516</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-domain-active-learning-literature-review-and-comparative-study-2106.13516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-domain-active-learning-literature-review-and-comparative-study-2106.13516"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-graph-signal-decomposition-2106.13517</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-graph-signal-decomposition-2106.13517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-graph-signal-decomposition-2106.13517"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-based-framework-for-training-flexible-neural-networks-2106.13542</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-based-framework-for-training-flexible-neural-networks-2106.13542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-based-framework-for-training-flexible-neural-networks-2106.13542"/></url>
<url><loc>https://scifaro.com/en/abs/learning-gradual-argumentation-frameworks-using-genetic-algorithms-2106.13585</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-gradual-argumentation-frameworks-using-genetic-algorithms-2106.13585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-gradual-argumentation-frameworks-using-genetic-algorithms-2106.13585"/></url>
<url><loc>https://scifaro.com/en/abs/fostering-diversity-in-spatial-evolutionary-generative-adversarial-networks-2106.13590</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fostering-diversity-in-spatial-evolutionary-generative-adversarial-networks-2106.13590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fostering-diversity-in-spatial-evolutionary-generative-adversarial-networks-2106.13590"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-neural-networks-essentials-2106.13594</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-neural-networks-essentials-2106.13594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-neural-networks-essentials-2106.13594"/></url>
<url><loc>https://scifaro.com/en/abs/chebyshev-cantelli-pac-bayes-bennett-inequality-for-the-weighted-majority-vote-2106.13624</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chebyshev-cantelli-pac-bayes-bennett-inequality-for-the-weighted-majority-vote-2106.13624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chebyshev-cantelli-pac-bayes-bennett-inequality-for-the-weighted-majority-vote-2106.13624"/></url>
<url><loc>https://scifaro.com/en/abs/deeploc-a-ubiquitous-accurate-and-low-overhead-outdoor-cellular-localization-system-2106.13632</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeploc-a-ubiquitous-accurate-and-low-overhead-outdoor-cellular-localization-system-2106.13632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeploc-a-ubiquitous-accurate-and-low-overhead-outdoor-cellular-localization-system-2106.13632"/></url>
<url><loc>https://scifaro.com/en/abs/transient-stability-analysis-with-physics-informed-neural-networks-2106.13638</loc><lastmod>2023-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transient-stability-analysis-with-physics-informed-neural-networks-2106.13638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transient-stability-analysis-with-physics-informed-neural-networks-2106.13638"/></url>
<url><loc>https://scifaro.com/en/abs/vegn-variant-effect-prediction-with-graph-neural-networks-2106.13642</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vegn-variant-effect-prediction-with-graph-neural-networks-2106.13642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vegn-variant-effect-prediction-with-graph-neural-networks-2106.13642"/></url>
<url><loc>https://scifaro.com/en/abs/a-mechanistic-based-data-driven-approach-to-accelerate-structural-topology-optimization-through-finite-element-convolutional-neural-network-fe-cnn-2106.13652</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mechanistic-based-data-driven-approach-to-accelerate-structural-topology-optimization-through-finite-element-convolutional-neural-network-fe-cnn-2106.13652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mechanistic-based-data-driven-approach-to-accelerate-structural-topology-optimization-through-finite-element-convolutional-neural-network-fe-cnn-2106.13652"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-clipping-for-federated-learning-convergence-and-client-level-differential-privacy-2106.13673</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-clipping-for-federated-learning-convergence-and-client-level-differential-privacy-2106.13673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-clipping-for-federated-learning-convergence-and-client-level-differential-privacy-2106.13673"/></url>
<url><loc>https://scifaro.com/en/abs/robust-matrix-factorization-with-grouping-effect-2106.13681</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-matrix-factorization-with-grouping-effect-2106.13681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-matrix-factorization-with-grouping-effect-2106.13681"/></url>
<url><loc>https://scifaro.com/en/abs/panda-gym-open-source-goal-conditioned-environments-for-robotic-learning-2106.13687</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/panda-gym-open-source-goal-conditioned-environments-for-robotic-learning-2106.13687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/panda-gym-open-source-goal-conditioned-environments-for-robotic-learning-2106.13687"/></url>
<url><loc>https://scifaro.com/en/abs/cadda-class-wise-automatic-differentiable-data-augmentation-for-eeg-signals-2106.13695</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cadda-class-wise-automatic-differentiable-data-augmentation-for-eeg-signals-2106.13695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cadda-class-wise-automatic-differentiable-data-augmentation-for-eeg-signals-2106.13695"/></url>
<url><loc>https://scifaro.com/en/abs/ranger21-a-synergistic-deep-learning-optimizer-2106.13731</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranger21-a-synergistic-deep-learning-optimizer-2106.13731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranger21-a-synergistic-deep-learning-optimizer-2106.13731"/></url>
<url><loc>https://scifaro.com/en/abs/re-parameterizing-vaes-for-stability-2106.13739</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/re-parameterizing-vaes-for-stability-2106.13739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/re-parameterizing-vaes-for-stability-2106.13739"/></url>
<url><loc>https://scifaro.com/en/abs/privileged-zero-shot-automl-2106.13743</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privileged-zero-shot-automl-2106.13743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privileged-zero-shot-automl-2106.13743"/></url>
<url><loc>https://scifaro.com/en/abs/jitter-random-jittering-loss-function-2106.13749</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jitter-random-jittering-loss-function-2106.13749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jitter-random-jittering-loss-function-2106.13749"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-the-lockdown-effects-on-air-quality-during-covid-19-era-2106.13750</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-the-lockdown-effects-on-air-quality-during-covid-19-era-2106.13750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-the-lockdown-effects-on-air-quality-during-covid-19-era-2106.13750"/></url>
<url><loc>https://scifaro.com/en/abs/private-adaptive-gradient-methods-for-convex-optimization-2106.13756</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-adaptive-gradient-methods-for-convex-optimization-2106.13756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-adaptive-gradient-methods-for-convex-optimization-2106.13756"/></url>
<url><loc>https://scifaro.com/en/abs/hypernp-interactive-visual-exploration-of-multidimensional-projection-hyperparameters-2106.13777</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypernp-interactive-visual-exploration-of-multidimensional-projection-hyperparameters-2106.13777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypernp-interactive-visual-exploration-of-multidimensional-projection-hyperparameters-2106.13777"/></url>
<url><loc>https://scifaro.com/en/abs/data-efficiency-in-graph-networks-through-equivariance-2106.13786</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-efficiency-in-graph-networks-through-equivariance-2106.13786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-efficiency-in-graph-networks-through-equivariance-2106.13786"/></url>
<url><loc>https://scifaro.com/en/abs/proxy-convexity-a-unified-framework-for-the-analysis-of-neural-networks-trained-by-gradient-descent-2106.13792</loc><lastmod>2022-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proxy-convexity-a-unified-framework-for-the-analysis-of-neural-networks-trained-by-gradient-descent-2106.13792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proxy-convexity-a-unified-framework-for-the-analysis-of-neural-networks-trained-by-gradient-descent-2106.13792"/></url>
<url><loc>https://scifaro.com/en/abs/conjugate-energy-based-models-2106.13798</loc><lastmod>2021-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conjugate-energy-based-models-2106.13798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conjugate-energy-based-models-2106.13798"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-generalization-of-sgd-via-disagreement-2106.13799</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-generalization-of-sgd-via-disagreement-2106.13799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-generalization-of-sgd-via-disagreement-2106.13799"/></url>
<url><loc>https://scifaro.com/en/abs/self-training-converts-weak-learners-to-strong-learners-in-mixture-models-2106.13805</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-training-converts-weak-learners-to-strong-learners-in-mixture-models-2106.13805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-training-converts-weak-learners-to-strong-learners-in-mixture-models-2106.13805"/></url>
<url><loc>https://scifaro.com/en/abs/ladder-polynomial-neural-networks-2106.13834</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ladder-polynomial-neural-networks-2106.13834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ladder-polynomial-neural-networks-2106.13834"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-stage-machine-learning-model-on-diagnosis-of-esophageal-manometry-2106.13869</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-stage-machine-learning-model-on-diagnosis-of-esophageal-manometry-2106.13869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-stage-machine-learning-model-on-diagnosis-of-esophageal-manometry-2106.13869"/></url>
<url><loc>https://scifaro.com/en/abs/self-paced-principal-component-analysis-2106.13880</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-paced-principal-component-analysis-2106.13880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-paced-principal-component-analysis-2106.13880"/></url>
<url><loc>https://scifaro.com/en/abs/pastprop-rnn-improved-predictions-of-the-future-by-correcting-the-past-2106.13881</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pastprop-rnn-improved-predictions-of-the-future-by-correcting-the-past-2106.13881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pastprop-rnn-improved-predictions-of-the-future-by-correcting-the-past-2106.13881"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-infused-policy-gradients-with-upper-confidence-bound-for-relational-bandits-2106.13895</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-infused-policy-gradients-with-upper-confidence-bound-for-relational-bandits-2106.13895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-infused-policy-gradients-with-upper-confidence-bound-for-relational-bandits-2106.13895"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-gradient-alignment-in-distributed-and-federated-learning-2106.13897</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-gradient-alignment-in-distributed-and-federated-learning-2106.13897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-gradient-alignment-in-distributed-and-federated-learning-2106.13897"/></url>
<url><loc>https://scifaro.com/en/abs/closed-form-continuous-time-neural-models-2106.13898</loc><lastmod>2023-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/closed-form-continuous-time-neural-models-2106.13898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/closed-form-continuous-time-neural-models-2106.13898"/></url>
<url><loc>https://scifaro.com/en/abs/domain-conditional-predictors-for-domain-adaptation-2106.13899</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-conditional-predictors-for-domain-adaptation-2106.13899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-conditional-predictors-for-domain-adaptation-2106.13899"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-reinforcement-learning-from-logical-specifications-2106.13906</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-reinforcement-learning-from-logical-specifications-2106.13906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-reinforcement-learning-from-logical-specifications-2106.13906"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-control-using-learned-state-space-models-via-rolling-horizon-evolution-2106.13911</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-control-using-learned-state-space-models-via-rolling-horizon-evolution-2106.13911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-control-using-learned-state-space-models-via-rolling-horizon-evolution-2106.13911"/></url>
<url><loc>https://scifaro.com/en/abs/midpoint-regularization-from-high-uncertainty-training-to-conservative-classification-2106.13913</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/midpoint-regularization-from-high-uncertainty-training-to-conservative-classification-2106.13913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/midpoint-regularization-from-high-uncertainty-training-to-conservative-classification-2106.13913"/></url>
<url><loc>https://scifaro.com/en/abs/lns-madam-low-precision-training-in-logarithmic-number-system-using-multiplicative-weight-update-2106.13914</loc><lastmod>2022-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lns-madam-low-precision-training-in-logarithmic-number-system-using-multiplicative-weight-update-2106.13914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lns-madam-low-precision-training-in-logarithmic-number-system-using-multiplicative-weight-update-2106.13914"/></url>
<url><loc>https://scifaro.com/en/abs/pruning-edges-and-gradients-to-learn-hypergraphs-from-larger-sets-2106.13919</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pruning-edges-and-gradients-to-learn-hypergraphs-from-larger-sets-2106.13919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pruning-edges-and-gradients-to-learn-hypergraphs-from-larger-sets-2106.13919"/></url>
<url><loc>https://scifaro.com/en/abs/self-attentive-ensemble-transformer-representing-ensemble-interactions-in-neural-networks-for-earth-system-models-2106.13924</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-attentive-ensemble-transformer-representing-ensemble-interactions-in-neural-networks-for-earth-system-models-2106.13924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-attentive-ensemble-transformer-representing-ensemble-interactions-in-neural-networks-for-earth-system-models-2106.13924"/></url>
<url><loc>https://scifaro.com/en/abs/core-challenges-in-embodied-vision-language-planning-2106.13948</loc><lastmod>2022-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/core-challenges-in-embodied-vision-language-planning-2106.13948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/core-challenges-in-embodied-vision-language-planning-2106.13948"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-via-inter-task-synaptic-mapping-2106.13954</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-via-inter-task-synaptic-mapping-2106.13954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-via-inter-task-synaptic-mapping-2106.13954"/></url>
<url><loc>https://scifaro.com/en/abs/autonomous-deep-quality-monitoring-in-streaming-environments-2106.13955</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autonomous-deep-quality-monitoring-in-streaming-environments-2106.13955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autonomous-deep-quality-monitoring-in-streaming-environments-2106.13955"/></url>
<url><loc>https://scifaro.com/en/abs/solar-irradiation-forecasting-using-genetic-algorithms-2106.13956</loc><lastmod>2025-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solar-irradiation-forecasting-using-genetic-algorithms-2106.13956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solar-irradiation-forecasting-using-genetic-algorithms-2106.13956"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsically-motivated-self-supervised-learning-in-reinforcement-learning-2106.13970</loc><lastmod>2022-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsically-motivated-self-supervised-learning-in-reinforcement-learning-2106.13970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsically-motivated-self-supervised-learning-in-reinforcement-learning-2106.13970"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-inverse-optimization-offline-and-online-learning-2106.14015</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-inverse-optimization-offline-and-online-learning-2106.14015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-inverse-optimization-offline-and-online-learning-2106.14015"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-contextual-information-in-best-arm-identification-2106.14077</loc><lastmod>2024-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-contextual-information-in-best-arm-identification-2106.14077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-contextual-information-in-best-arm-identification-2106.14077"/></url>
<url><loc>https://scifaro.com/en/abs/model-advantage-and-value-aware-models-for-model-based-reinforcement-learning-bridging-the-gap-in-theory-and-practice-2106.14080</loc><lastmod>2022-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-advantage-and-value-aware-models-for-model-based-reinforcement-learning-bridging-the-gap-in-theory-and-practice-2106.14080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-advantage-and-value-aware-models-for-model-based-reinforcement-learning-bridging-the-gap-in-theory-and-practice-2106.14080"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-recurrent-neural-networks-for-gravitational-wave-experiments-2106.14089</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-recurrent-neural-networks-for-gravitational-wave-experiments-2106.14089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-recurrent-neural-networks-for-gravitational-wave-experiments-2106.14089"/></url>
<url><loc>https://scifaro.com/en/abs/phycrnet-physics-informed-convolutional-recurrent-network-for-solving-spatiotemporal-pdes-2106.14103</loc><lastmod>2022-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phycrnet-physics-informed-convolutional-recurrent-network-for-solving-spatiotemporal-pdes-2106.14103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phycrnet-physics-informed-convolutional-recurrent-network-for-solving-spatiotemporal-pdes-2106.14103"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-representation-learning-via-temporal-and-contextual-contrasting-2106.14112</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-representation-learning-via-temporal-and-contextual-contrasting-2106.14112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-representation-learning-via-temporal-and-contextual-contrasting-2106.14112"/></url>
<url><loc>https://scifaro.com/en/abs/graph-convolutional-memory-using-topological-priors-2106.14117</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-convolutional-memory-using-topological-priors-2106.14117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-convolutional-memory-using-topological-priors-2106.14117"/></url>
<url><loc>https://scifaro.com/en/abs/on-a-novel-training-algorithm-for-sequence-to-sequence-predictive-recurrent-networks-2106.14120</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-a-novel-training-algorithm-for-sequence-to-sequence-predictive-recurrent-networks-2106.14120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-a-novel-training-algorithm-for-sequence-to-sequence-predictive-recurrent-networks-2106.14120"/></url>
<url><loc>https://scifaro.com/en/abs/adaptcl-efficient-collaborative-learning-with-dynamic-and-adaptive-pruning-2106.14126</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptcl-efficient-collaborative-learning-with-dynamic-and-adaptive-pruning-2106.14126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptcl-efficient-collaborative-learning-with-dynamic-and-adaptive-pruning-2106.14126"/></url>
<url><loc>https://scifaro.com/en/abs/symbolicgpt-a-generative-transformer-model-for-symbolic-regression-2106.14131</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symbolicgpt-a-generative-transformer-model-for-symbolic-regression-2106.14131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symbolicgpt-a-generative-transformer-model-for-symbolic-regression-2106.14131"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-detection-algorithm-for-large-barkhausen-jumps-in-cluttered-environment-2106.14148</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-detection-algorithm-for-large-barkhausen-jumps-in-cluttered-environment-2106.14148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-detection-algorithm-for-large-barkhausen-jumps-in-cluttered-environment-2106.14148"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-based-adaptive-tree-for-multimodal-sentiment-analysis-based-on-user-latent-aspects-2106.14174</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-based-adaptive-tree-for-multimodal-sentiment-analysis-based-on-user-latent-aspects-2106.14174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-based-adaptive-tree-for-multimodal-sentiment-analysis-based-on-user-latent-aspects-2106.14174"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-estimation-of-continuous-dpps-with-kernel-methods-2106.14210</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-estimation-of-continuous-dpps-with-kernel-methods-2106.14210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-estimation-of-continuous-dpps-with-kernel-methods-2106.14210"/></url>
<url><loc>https://scifaro.com/en/abs/ai-based-presentation-creator-with-customized-audio-content-delivery-2106.14213</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ai-based-presentation-creator-with-customized-audio-content-delivery-2106.14213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ai-based-presentation-creator-with-customized-audio-content-delivery-2106.14213"/></url>
<url><loc>https://scifaro.com/en/abs/over-the-air-federated-multi-task-learning-2106.14229</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/over-the-air-federated-multi-task-learning-2106.14229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/over-the-air-federated-multi-task-learning-2106.14229"/></url>
<url><loc>https://scifaro.com/en/abs/dgl-lifesci-an-open-source-toolkit-for-deep-learning-on-graphs-in-life-science-2106.14232</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dgl-lifesci-an-open-source-toolkit-for-deep-learning-on-graphs-in-life-science-2106.14232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dgl-lifesci-an-open-source-toolkit-for-deep-learning-on-graphs-in-life-science-2106.14232"/></url>
<url><loc>https://scifaro.com/en/abs/reward-based-1-bit-compressed-federated-distillation-on-blockchain-2106.14265</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reward-based-1-bit-compressed-federated-distillation-on-blockchain-2106.14265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reward-based-1-bit-compressed-federated-distillation-on-blockchain-2106.14265"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-technical-document-classification-2106.14269</loc><lastmod>2025-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-technical-document-classification-2106.14269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-technical-document-classification-2106.14269"/></url>
<url><loc>https://scifaro.com/en/abs/how-many-moments-does-mmd-compare-2106.14277</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-many-moments-does-mmd-compare-2106.14277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-many-moments-does-mmd-compare-2106.14277"/></url>
<url><loc>https://scifaro.com/en/abs/a-reinforcement-learning-approach-for-sequential-spatial-transformer-networks-2106.14295</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reinforcement-learning-approach-for-sequential-spatial-transformer-networks-2106.14295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reinforcement-learning-approach-for-sequential-spatial-transformer-networks-2106.14295"/></url>
<url><loc>https://scifaro.com/en/abs/ask-adversarial-soft-k-nearest-neighbor-attack-and-defense-2106.14300</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ask-adversarial-soft-k-nearest-neighbor-attack-and-defense-2106.14300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ask-adversarial-soft-k-nearest-neighbor-attack-and-defense-2106.14300"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-skill-discovery-with-bottleneck-option-learning-2106.14305</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-skill-discovery-with-bottleneck-option-learning-2106.14305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-skill-discovery-with-bottleneck-option-learning-2106.14305"/></url>
<url><loc>https://scifaro.com/en/abs/concentration-of-contractive-stochastic-approximation-and-reinforcement-learning-2106.14308</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concentration-of-contractive-stochastic-approximation-and-reinforcement-learning-2106.14308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concentration-of-contractive-stochastic-approximation-and-reinforcement-learning-2106.14308"/></url>
<url><loc>https://scifaro.com/en/abs/last-iterate-convergence-in-extensive-form-games-2106.14326</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/last-iterate-convergence-in-extensive-form-games-2106.14326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/last-iterate-convergence-in-extensive-form-games-2106.14326"/></url>
<url><loc>https://scifaro.com/en/abs/regret-analysis-in-deterministic-reinforcement-learning-2106.14338</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-analysis-in-deterministic-reinforcement-learning-2106.14338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-analysis-in-deterministic-reinforcement-learning-2106.14338"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-numerical-precision-preserves-classification-accuracy-in-mondrian-forests-2106.14340</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-numerical-precision-preserves-classification-accuracy-in-mondrian-forests-2106.14340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-numerical-precision-preserves-classification-accuracy-in-mondrian-forests-2106.14340"/></url>
<url><loc>https://scifaro.com/en/abs/stabilizing-equilibrium-models-by-jacobian-regularization-2106.14342</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilizing-equilibrium-models-by-jacobian-regularization-2106.14342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilizing-equilibrium-models-by-jacobian-regularization-2106.14342"/></url>
<url><loc>https://scifaro.com/en/abs/high-probability-bounds-for-non-convex-stochastic-optimization-with-heavy-tails-2106.14343</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-probability-bounds-for-non-convex-stochastic-optimization-with-heavy-tails-2106.14343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-probability-bounds-for-non-convex-stochastic-optimization-with-heavy-tails-2106.14343"/></url>
<url><loc>https://scifaro.com/en/abs/non-exhaustive-learning-using-gaussian-mixture-generative-adversarial-networks-2106.14344</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-exhaustive-learning-using-gaussian-mixture-generative-adversarial-networks-2106.14344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-exhaustive-learning-using-gaussian-mixture-generative-adversarial-networks-2106.14344"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-image-recognition-for-non-images-2106.14350</loc><lastmod>2022-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-image-recognition-for-non-images-2106.14350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-image-recognition-for-non-images-2106.14350"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-broad-learning-system-based-on-locally-linear-embedding-2106.14367</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-broad-learning-system-based-on-locally-linear-embedding-2106.14367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-broad-learning-system-based-on-locally-linear-embedding-2106.14367"/></url>
<url><loc>https://scifaro.com/en/abs/habitat-2-0-training-home-assistants-to-rearrange-their-habitat-2106.14405</loc><lastmod>2022-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/habitat-2-0-training-home-assistants-to-rearrange-their-habitat-2106.14405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/habitat-2-0-training-home-assistants-to-rearrange-their-habitat-2106.14405"/></url>
<url><loc>https://scifaro.com/en/abs/poisoning-the-search-space-in-neural-architecture-search-2106.14406</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisoning-the-search-space-in-neural-architecture-search-2106.14406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisoning-the-search-space-in-neural-architecture-search-2106.14406"/></url>
<url><loc>https://scifaro.com/en/abs/co-2-l-contrastive-continual-learning-2106.14413</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-2-l-contrastive-continual-learning-2106.14413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-2-l-contrastive-continual-learning-2106.14413"/></url>
<url><loc>https://scifaro.com/en/abs/causal-reinforcement-learning-using-observational-and-interventional-data-2106.14421</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-reinforcement-learning-using-observational-and-interventional-data-2106.14421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-reinforcement-learning-using-observational-and-interventional-data-2106.14421"/></url>
<url><loc>https://scifaro.com/en/abs/certified-robustness-via-randomized-smoothing-over-multiplicative-parameters-of-input-transformations-2106.14432</loc><lastmod>2022-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certified-robustness-via-randomized-smoothing-over-multiplicative-parameters-of-input-transformations-2106.14432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certified-robustness-via-randomized-smoothing-over-multiplicative-parameters-of-input-transformations-2106.14432"/></url>
<url><loc>https://scifaro.com/en/abs/r-drop-regularized-dropout-for-neural-networks-2106.14448</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/r-drop-regularized-dropout-for-neural-networks-2106.14448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/r-drop-regularized-dropout-for-neural-networks-2106.14448"/></url>
<url><loc>https://scifaro.com/en/abs/hyperbolic-busemann-learning-with-ideal-prototypes-2106.14472</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperbolic-busemann-learning-with-ideal-prototypes-2106.14472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperbolic-busemann-learning-with-ideal-prototypes-2106.14472"/></url>
<url><loc>https://scifaro.com/en/abs/complexity-based-partitioning-of-csfi-problem-instances-with-transformers-2106.14481</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complexity-based-partitioning-of-csfi-problem-instances-with-transformers-2106.14481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complexity-based-partitioning-of-csfi-problem-instances-with-transformers-2106.14481"/></url>
<url><loc>https://scifaro.com/en/abs/weight-divergence-driven-divide-and-conquer-approach-for-optimal-federated-learning-from-non-iid-data-2106.14503</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weight-divergence-driven-divide-and-conquer-approach-for-optimal-federated-learning-from-non-iid-data-2106.14503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weight-divergence-driven-divide-and-conquer-approach-for-optimal-federated-learning-from-non-iid-data-2106.14503"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-continual-learning-via-self-adaptive-deep-clustering-approach-2106.14563</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-continual-learning-via-self-adaptive-deep-clustering-approach-2106.14563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-continual-learning-via-self-adaptive-deep-clustering-approach-2106.14563"/></url>
<url><loc>https://scifaro.com/en/abs/deep-ensembling-with-no-overhead-for-either-training-or-testing-the-all-round-blessings-of-dynamic-sparsity-2106.14568</loc><lastmod>2026-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-ensembling-with-no-overhead-for-either-training-or-testing-the-all-round-blessings-of-dynamic-sparsity-2106.14568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-ensembling-with-no-overhead-for-either-training-or-testing-the-all-round-blessings-of-dynamic-sparsity-2106.14568"/></url>
<url><loc>https://scifaro.com/en/abs/integrate-and-fire-neurons-for-low-powered-pattern-recognition-2106.14596</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrate-and-fire-neurons-for-low-powered-pattern-recognition-2106.14596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrate-and-fire-neurons-for-low-powered-pattern-recognition-2106.14596"/></url>
<url><loc>https://scifaro.com/en/abs/ensembling-shift-detectors-an-extensive-empirical-evaluation-2106.14608</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensembling-shift-detectors-an-extensive-empirical-evaluation-2106.14608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensembling-shift-detectors-an-extensive-empirical-evaluation-2106.14608"/></url>
<url><loc>https://scifaro.com/en/abs/expert-q-learning-deep-reinforcement-learning-with-coarse-state-values-from-offline-expert-examples-2106.14642</loc><lastmod>2024-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expert-q-learning-deep-reinforcement-learning-with-coarse-state-values-from-offline-expert-examples-2106.14642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expert-q-learning-deep-reinforcement-learning-with-coarse-state-values-from-offline-expert-examples-2106.14642"/></url>
<url><loc>https://scifaro.com/en/abs/on-locality-of-local-explanation-models-2106.14648</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-locality-of-local-explanation-models-2106.14648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-locality-of-local-explanation-models-2106.14648"/></url>
<url><loc>https://scifaro.com/en/abs/gan-mdf-a-method-for-multi-fidelity-data-fusion-in-digital-twins-2106.14655</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gan-mdf-a-method-for-multi-fidelity-data-fusion-in-digital-twins-2106.14655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gan-mdf-a-method-for-multi-fidelity-data-fusion-in-digital-twins-2106.14655"/></url>
<url><loc>https://scifaro.com/en/abs/improving-uncertainty-calibration-of-deep-neural-networks-via-truth-discovery-and-geometric-optimization-2106.14662</loc><lastmod>2022-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-uncertainty-calibration-of-deep-neural-networks-via-truth-discovery-and-geometric-optimization-2106.14662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-uncertainty-calibration-of-deep-neural-networks-via-truth-discovery-and-geometric-optimization-2106.14662"/></url>
<url><loc>https://scifaro.com/en/abs/pqk-model-compression-via-pruning-quantization-and-knowledge-distillation-2106.14681</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pqk-model-compression-via-pruning-quantization-and-knowledge-distillation-2106.14681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pqk-model-compression-via-pruning-quantization-and-knowledge-distillation-2106.14681"/></url>
<url><loc>https://scifaro.com/en/abs/robust-learning-augmented-caching-an-experimental-study-2106.14693</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-learning-augmented-caching-an-experimental-study-2106.14693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-learning-augmented-caching-an-experimental-study-2106.14693"/></url>
<url><loc>https://scifaro.com/en/abs/tent-tensorized-encoder-transformer-for-temperature-forecasting-2106.14742</loc><lastmod>2022-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tent-tensorized-encoder-transformer-for-temperature-forecasting-2106.14742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tent-tensorized-encoder-transformer-for-temperature-forecasting-2106.14742"/></url>
<url><loc>https://scifaro.com/en/abs/physinet-a-combination-of-physics-based-model-and-neural-network-model-for-digital-twins-2106.14790</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physinet-a-combination-of-physics-based-model-and-neural-network-model-for-digital-twins-2106.14790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physinet-a-combination-of-physics-based-model-and-neural-network-model-for-digital-twins-2106.14790"/></url>
<url><loc>https://scifaro.com/en/abs/laplace-redux-effortless-bayesian-deep-learning-2106.14806</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/laplace-redux-effortless-bayesian-deep-learning-2106.14806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/laplace-redux-effortless-bayesian-deep-learning-2106.14806"/></url>
<url><loc>https://scifaro.com/en/abs/feature-importance-guided-attack-a-model-agnostic-adversarial-attack-2106.14815</loc><lastmod>2023-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-importance-guided-attack-a-model-agnostic-adversarial-attack-2106.14815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-importance-guided-attack-a-model-agnostic-adversarial-attack-2106.14815"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-dynamics-of-nonlinear-representation-learning-and-its-application-2106.14836</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-dynamics-of-nonlinear-representation-learning-and-its-application-2106.14836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-dynamics-of-nonlinear-representation-learning-and-its-application-2106.14836"/></url>
<url><loc>https://scifaro.com/en/abs/improving-prediction-of-low-prior-clinical-events-with-simultaneous-general-patient-state-representation-learning-2106.14838</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-prediction-of-low-prior-clinical-events-with-simultaneous-general-patient-state-representation-learning-2106.14838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-prediction-of-low-prior-clinical-events-with-simultaneous-general-patient-state-representation-learning-2106.14838"/></url>
<url><loc>https://scifaro.com/en/abs/data-poisoning-won-t-save-you-from-facial-recognition-2106.14851</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-poisoning-won-t-save-you-from-facial-recognition-2106.14851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-poisoning-won-t-save-you-from-facial-recognition-2106.14851"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-curriculum-learning-in-a-complex-visual-hard-exploration-domain-minecraft-2106.14876</loc><lastmod>2021-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-curriculum-learning-in-a-complex-visual-hard-exploration-domain-minecraft-2106.14876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-curriculum-learning-in-a-complex-visual-hard-exploration-domain-minecraft-2106.14876"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-of-streaming-algorithms-through-importance-sampling-2106.14952</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-of-streaming-algorithms-through-importance-sampling-2106.14952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-of-streaming-algorithms-through-importance-sampling-2106.14952"/></url>
<url><loc>https://scifaro.com/en/abs/modularity-in-reinforcement-learning-via-algorithmic-independence-in-credit-assignment-2106.14993</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modularity-in-reinforcement-learning-via-algorithmic-independence-in-credit-assignment-2106.14993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modularity-in-reinforcement-learning-via-algorithmic-independence-in-credit-assignment-2106.14993"/></url>
<url><loc>https://scifaro.com/en/abs/small-random-initialization-is-akin-to-spectral-learning-optimization-and-generalization-guarantees-for-overparameterized-low-rank-matrix-reconstruction-2106.15013</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-random-initialization-is-akin-to-spectral-learning-optimization-and-generalization-guarantees-for-overparameterized-low-rank-matrix-reconstruction-2106.15013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-random-initialization-is-akin-to-spectral-learning-optimization-and-generalization-guarantees-for-overparameterized-low-rank-matrix-reconstruction-2106.15013"/></url>
<url><loc>https://scifaro.com/en/abs/early-mobility-recognition-for-intensive-care-unit-patients-using-accelerometers-2106.15017</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-mobility-recognition-for-intensive-care-unit-patients-using-accelerometers-2106.15017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-mobility-recognition-for-intensive-care-unit-patients-using-accelerometers-2106.15017"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-potential-of-sequential-and-non-sequential-regression-models-for-sentinel-1-based-biomass-prediction-in-tanzanian-miombo-forests-2106.15020</loc><lastmod>2022-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-potential-of-sequential-and-non-sequential-regression-models-for-sentinel-1-based-biomass-prediction-in-tanzanian-miombo-forests-2106.15020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-potential-of-sequential-and-non-sequential-regression-models-for-sentinel-1-based-biomass-prediction-in-tanzanian-miombo-forests-2106.15020"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-reach-real-time-ai-on-consumer-devices-solutions-for-programmable-and-custom-architectures-2106.15021</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-reach-real-time-ai-on-consumer-devices-solutions-for-programmable-and-custom-architectures-2106.15021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-reach-real-time-ai-on-consumer-devices-solutions-for-programmable-and-custom-architectures-2106.15021"/></url>
<url><loc>https://scifaro.com/en/abs/evading-adversarial-example-detection-defenses-with-orthogonal-projected-gradient-descent-2106.15023</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evading-adversarial-example-detection-defenses-with-orthogonal-projected-gradient-descent-2106.15023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evading-adversarial-example-detection-defenses-with-orthogonal-projected-gradient-descent-2106.15023"/></url>
<url><loc>https://scifaro.com/en/abs/falldef5-a-fall-detection-framework-using-5g-based-deep-gated-recurrent-unit-networks-2106.15049</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/falldef5-a-fall-detection-framework-using-5g-based-deep-gated-recurrent-unit-networks-2106.15049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/falldef5-a-fall-detection-framework-using-5g-based-deep-gated-recurrent-unit-networks-2106.15049"/></url>
<url><loc>https://scifaro.com/en/abs/cross-domain-error-minimization-for-unsupervised-domain-adaptation-2106.15057</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-domain-error-minimization-for-unsupervised-domain-adaptation-2106.15057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-domain-error-minimization-for-unsupervised-domain-adaptation-2106.15057"/></url>
<url><loc>https://scifaro.com/en/abs/elephantbook-a-semi-automated-human-in-the-loop-system-for-elephant-re-identification-2106.15083</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elephantbook-a-semi-automated-human-in-the-loop-system-for-elephant-re-identification-2106.15083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elephantbook-a-semi-automated-human-in-the-loop-system-for-elephant-re-identification-2106.15083"/></url>
<url><loc>https://scifaro.com/en/abs/certifiable-machine-unlearning-for-linear-models-2106.15093</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certifiable-machine-unlearning-for-linear-models-2106.15093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certifiable-machine-unlearning-for-linear-models-2106.15093"/></url>
<url><loc>https://scifaro.com/en/abs/molecule-generation-by-principal-subgraph-mining-and-assembling-2106.15098</loc><lastmod>2022-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molecule-generation-by-principal-subgraph-mining-and-assembling-2106.15098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molecule-generation-by-principal-subgraph-mining-and-assembling-2106.15098"/></url>
<url><loc>https://scifaro.com/en/abs/evolving-graph-gaussian-processes-2106.15127</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evolving-graph-gaussian-processes-2106.15127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evolving-graph-gaussian-processes-2106.15127"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-ofu-an-efficient-ucb-estimator-fornon-linear-contextual-bandit-2106.15128</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-ofu-an-efficient-ucb-estimator-fornon-linear-contextual-bandit-2106.15128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-ofu-an-efficient-ucb-estimator-fornon-linear-contextual-bandit-2106.15128"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-multiple-annotators-by-incorporating-instance-features-2106.15146</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-multiple-annotators-by-incorporating-instance-features-2106.15146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-multiple-annotators-by-incorporating-instance-features-2106.15146"/></url>
<url><loc>https://scifaro.com/en/abs/scarf-self-supervised-contrastive-learning-using-random-feature-corruption-2106.15147</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scarf-self-supervised-contrastive-learning-using-random-feature-corruption-2106.15147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scarf-self-supervised-contrastive-learning-using-random-feature-corruption-2106.15147"/></url>
<url><loc>https://scifaro.com/en/abs/deep-inertial-navigation-using-continuous-domain-adaptation-and-optimal-transport-2106.15178</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-inertial-navigation-using-continuous-domain-adaptation-and-optimal-transport-2106.15178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-inertial-navigation-using-continuous-domain-adaptation-and-optimal-transport-2106.15178"/></url>
<url><loc>https://scifaro.com/en/abs/inn-a-method-identifying-clean-annotated-samples-via-consistency-effect-in-deep-neural-networks-2106.15185</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inn-a-method-identifying-clean-annotated-samples-via-consistency-effect-in-deep-neural-networks-2106.15185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inn-a-method-identifying-clean-annotated-samples-via-consistency-effect-in-deep-neural-networks-2106.15185"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-rates-for-random-order-online-optimization-2106.15207</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-rates-for-random-order-online-optimization-2106.15207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-rates-for-random-order-online-optimization-2106.15207"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-explanations-for-arbitrary-regression-models-2106.15212</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-explanations-for-arbitrary-regression-models-2106.15212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-explanations-for-arbitrary-regression-models-2106.15212"/></url>
<url><loc>https://scifaro.com/en/abs/joint-majorization-minimization-for-nonnegative-matrix-factorization-with-the-beta-divergence-2106.15214</loc><lastmod>2023-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-majorization-minimization-for-nonnegative-matrix-factorization-with-the-beta-divergence-2106.15214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-majorization-minimization-for-nonnegative-matrix-factorization-with-the-beta-divergence-2106.15214"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-static-models-for-link-prediction-in-temporal-knowledge-graphs-2106.15223</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-static-models-for-link-prediction-in-temporal-knowledge-graphs-2106.15223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-static-models-for-link-prediction-in-temporal-knowledge-graphs-2106.15223"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-hypercomplex-embeddings-for-link-prediction-2106.15230</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-hypercomplex-embeddings-for-link-prediction-2106.15230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-hypercomplex-embeddings-for-link-prediction-2106.15230"/></url>
<url><loc>https://scifaro.com/en/abs/generating-the-graph-gestalt-kernel-regularized-graph-representation-learning-2106.15239</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-the-graph-gestalt-kernel-regularized-graph-representation-learning-2106.15239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-the-graph-gestalt-kernel-regularized-graph-representation-learning-2106.15239"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-sample-selection-for-robust-learning-under-label-noise-2106.15292</loc><lastmod>2022-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-sample-selection-for-robust-learning-under-label-noise-2106.15292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-sample-selection-for-robust-learning-under-label-noise-2106.15292"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-sparse-coding-fast-approximation-with-application-to-seismic-reflectivity-estimation-2106.15296</loc><lastmod>2022-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-sparse-coding-fast-approximation-with-application-to-seismic-reflectivity-estimation-2106.15296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-sparse-coding-fast-approximation-with-application-to-seismic-reflectivity-estimation-2106.15296"/></url>
<url><loc>https://scifaro.com/en/abs/deepgd-a-deep-learning-framework-for-graph-drawing-using-gnn-2106.15347</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepgd-a-deep-learning-framework-for-graph-drawing-using-gnn-2106.15347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepgd-a-deep-learning-framework-for-graph-drawing-using-gnn-2106.15347"/></url>
<url><loc>https://scifaro.com/en/abs/lb-cnn-an-open-source-framework-for-fast-training-of-light-binary-convolutional-neural-networks-using-chainer-and-cupy-2106.15350</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lb-cnn-an-open-source-framework-for-fast-training-of-light-binary-convolutional-neural-networks-using-chainer-and-cupy-2106.15350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lb-cnn-an-open-source-framework-for-fast-training-of-light-binary-convolutional-neural-networks-using-chainer-and-cupy-2106.15350"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-gaussian-processes-for-data-driven-design-using-big-data-with-categorical-factors-2106.15356</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-gaussian-processes-for-data-driven-design-using-big-data-with-categorical-factors-2106.15356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-gaussian-processes-for-data-driven-design-using-big-data-with-categorical-factors-2106.15356"/></url>
<url><loc>https://scifaro.com/en/abs/multi-stage-optimization-based-adversarial-training-2106.15357</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-stage-optimization-based-adversarial-training-2106.15357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-stage-optimization-based-adversarial-training-2106.15357"/></url>
<url><loc>https://scifaro.com/en/abs/attack-transferability-characterization-for-adversarially-robust-multi-label-classification-2106.15360</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attack-transferability-characterization-for-adversarially-robust-multi-label-classification-2106.15360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attack-transferability-characterization-for-adversarially-robust-multi-label-classification-2106.15360"/></url>
<url><loc>https://scifaro.com/en/abs/maml-is-a-noisy-contrastive-learner-in-classification-2106.15367</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maml-is-a-noisy-contrastive-learner-in-classification-2106.15367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maml-is-a-noisy-contrastive-learner-in-classification-2106.15367"/></url>
<url><loc>https://scifaro.com/en/abs/globally-optimal-hierarchical-reinforcement-learning-for-linearly-solvable-markov-decision-processes-2106.15380</loc><lastmod>2024-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/globally-optimal-hierarchical-reinforcement-learning-for-linearly-solvable-markov-decision-processes-2106.15380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/globally-optimal-hierarchical-reinforcement-learning-for-linearly-solvable-markov-decision-processes-2106.15380"/></url>
<url><loc>https://scifaro.com/en/abs/automated-evolutionary-approach-for-the-design-of-composite-machine-learning-pipelines-2106.15397</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-evolutionary-approach-for-the-design-of-composite-machine-learning-pipelines-2106.15397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-evolutionary-approach-for-the-design-of-composite-machine-learning-pipelines-2106.15397"/></url>
<url><loc>https://scifaro.com/en/abs/online-interaction-detection-for-click-through-rate-prediction-2106.15400</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-interaction-detection-for-click-through-rate-prediction-2106.15400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-interaction-detection-for-click-through-rate-prediction-2106.15400"/></url>
<url><loc>https://scifaro.com/en/abs/a-comprehensive-survey-of-incentive-mechanism-for-federated-learning-2106.15406</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comprehensive-survey-of-incentive-mechanism-for-federated-learning-2106.15406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comprehensive-survey-of-incentive-mechanism-for-federated-learning-2106.15406"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-the-performance-of-multi-label-classification-methods-with-data-set-properties-2106.15411</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-the-performance-of-multi-label-classification-methods-with-data-set-properties-2106.15411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-the-performance-of-multi-label-classification-methods-with-data-set-properties-2106.15411"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-batch-constrained-bayesian-optimization-approach-for-analog-circuit-synthesis-via-multi-objective-acquisition-ensemble-2106.15412</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-batch-constrained-bayesian-optimization-approach-for-analog-circuit-synthesis-via-multi-objective-acquisition-ensemble-2106.15412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-batch-constrained-bayesian-optimization-approach-for-analog-circuit-synthesis-via-multi-objective-acquisition-ensemble-2106.15412"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-separability-for-one-and-few-shot-learning-2106.15416</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-separability-for-one-and-few-shot-learning-2106.15416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-separability-for-one-and-few-shot-learning-2106.15416"/></url>
<url><loc>https://scifaro.com/en/abs/convergent-and-efficient-deep-q-network-algorithm-2106.15419</loc><lastmod>2022-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergent-and-efficient-deep-q-network-algorithm-2106.15419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergent-and-efficient-deep-q-network-algorithm-2106.15419"/></url>
<url><loc>https://scifaro.com/en/abs/zoo-tuning-adaptive-transfer-from-a-zoo-of-models-2106.15434</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zoo-tuning-adaptive-transfer-from-a-zoo-of-models-2106.15434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zoo-tuning-adaptive-transfer-from-a-zoo-of-models-2106.15434"/></url>
<url><loc>https://scifaro.com/en/abs/a-mechanism-for-producing-aligned-latent-spaces-with-autoencoders-2106.15456</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-mechanism-for-producing-aligned-latent-spaces-with-autoencoders-2106.15456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-mechanism-for-producing-aligned-latent-spaces-with-autoencoders-2106.15456"/></url>
<url><loc>https://scifaro.com/en/abs/interactive-dimensionality-reduction-for-comparative-analysis-2106.15481</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interactive-dimensionality-reduction-for-comparative-analysis-2106.15481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interactive-dimensionality-reduction-for-comparative-analysis-2106.15481"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-federated-learning-with-gaussian-processes-2106.15482</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-federated-learning-with-gaussian-processes-2106.15482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-federated-learning-with-gaussian-processes-2106.15482"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-consumer-belief-statements-from-social-media-2106.15498</loc><lastmod>2023-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-consumer-belief-statements-from-social-media-2106.15498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-consumer-belief-statements-from-social-media-2106.15498"/></url>
<url><loc>https://scifaro.com/en/abs/self-contrastive-learning-single-viewed-supervised-contrastive-framework-using-sub-network-2106.15499</loc><lastmod>2022-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-contrastive-learning-single-viewed-supervised-contrastive-framework-using-sub-network-2106.15499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-contrastive-learning-single-viewed-supervised-contrastive-framework-using-sub-network-2106.15499"/></url>
<url><loc>https://scifaro.com/en/abs/attentive-neural-processes-and-batch-bayesian-optimization-for-scalable-calibration-of-physics-informed-digital-twins-2106.15502</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attentive-neural-processes-and-batch-bayesian-optimization-for-scalable-calibration-of-physics-informed-digital-twins-2106.15502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attentive-neural-processes-and-batch-bayesian-optimization-for-scalable-calibration-of-physics-informed-digital-twins-2106.15502"/></url>
<url><loc>https://scifaro.com/en/abs/curious-explorer-a-provable-exploration-strategy-in-policy-learning-2106.15503</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curious-explorer-a-provable-exploration-strategy-in-policy-learning-2106.15503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curious-explorer-a-provable-exploration-strategy-in-policy-learning-2106.15503"/></url>
<url><loc>https://scifaro.com/en/abs/graphanogan-detecting-anomalous-snapshots-from-attributed-graphs-2106.15504</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphanogan-detecting-anomalous-snapshots-from-attributed-graphs-2106.15504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphanogan-detecting-anomalous-snapshots-from-attributed-graphs-2106.15504"/></url>
<url><loc>https://scifaro.com/en/abs/geot-a-geometry-aware-transformer-for-reliable-molecular-property-prediction-and-chemically-interpretable-representation-learning-2106.15516</loc><lastmod>2023-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geot-a-geometry-aware-transformer-for-reliable-molecular-property-prediction-and-chemically-interpretable-representation-learning-2106.15516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geot-a-geometry-aware-transformer-for-reliable-molecular-property-prediction-and-chemically-interpretable-representation-learning-2106.15516"/></url>
<url><loc>https://scifaro.com/en/abs/on-graph-neural-network-ensembles-for-large-scale-molecular-property-prediction-2106.15529</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-graph-neural-network-ensembles-for-large-scale-molecular-property-prediction-2106.15529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-graph-neural-network-ensembles-for-large-scale-molecular-property-prediction-2106.15529"/></url>
<url><loc>https://scifaro.com/en/abs/subgroup-generalization-and-fairness-of-graph-neural-networks-2106.15535</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subgroup-generalization-and-fairness-of-graph-neural-networks-2106.15535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subgroup-generalization-and-fairness-of-graph-neural-networks-2106.15535"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-with-bayesian-confidence-propagation-neural-network-2106.15546</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-with-bayesian-confidence-propagation-neural-network-2106.15546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-with-bayesian-confidence-propagation-neural-network-2106.15546"/></url>
<url><loc>https://scifaro.com/en/abs/learning-latent-causal-graphs-via-mixture-oracles-2106.15563</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-latent-causal-graphs-via-mixture-oracles-2106.15563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-latent-causal-graphs-via-mixture-oracles-2106.15563"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-explainable-k-means-for-all-dimensions-2106.15566</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-explainable-k-means-for-all-dimensions-2106.15566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-explainable-k-means-for-all-dimensions-2106.15566"/></url>
<url><loc>https://scifaro.com/en/abs/as-easy-as-apc-overcoming-missing-data-and-class-imbalance-in-time-series-with-self-supervised-learning-2106.15577</loc><lastmod>2022-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/as-easy-as-apc-overcoming-missing-data-and-class-imbalance-in-time-series-with-self-supervised-learning-2106.15577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/as-easy-as-apc-overcoming-missing-data-and-class-imbalance-in-time-series-with-self-supervised-learning-2106.15577"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-latent-process-flows-2106.15580</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-latent-process-flows-2106.15580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-latent-process-flows-2106.15580"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-of-reinforcement-learning-with-policy-aware-adversarial-data-augmentation-2106.15587</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-of-reinforcement-learning-with-policy-aware-adversarial-data-augmentation-2106.15587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-of-reinforcement-learning-with-policy-aware-adversarial-data-augmentation-2106.15587"/></url>
<url><loc>https://scifaro.com/en/abs/the-values-encoded-in-machine-learning-research-2106.15590</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-values-encoded-in-machine-learning-research-2106.15590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-values-encoded-in-machine-learning-research-2106.15590"/></url>
<url><loc>https://scifaro.com/en/abs/learning-task-informed-abstractions-2106.15612</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-task-informed-abstractions-2106.15612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-task-informed-abstractions-2106.15612"/></url>
<url><loc>https://scifaro.com/en/abs/a-representation-learning-perspective-on-the-importance-of-train-validation-splitting-in-meta-learning-2106.15615</loc><lastmod>2021-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-representation-learning-perspective-on-the-importance-of-train-validation-splitting-in-meta-learning-2106.15615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-representation-learning-perspective-on-the-importance-of-train-validation-splitting-in-meta-learning-2106.15615"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-weights-algorithms-for-selective-learning-2106.15662</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-weights-algorithms-for-selective-learning-2106.15662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-weights-algorithms-for-selective-learning-2106.15662"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-priors-in-variational-autoencoders-2106.15671</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-priors-in-variational-autoencoders-2106.15671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-priors-in-variational-autoencoders-2106.15671"/></url>
<url><loc>https://scifaro.com/en/abs/deep-multiagent-reinforcement-learning-challenges-and-directions-2106.15691</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-multiagent-reinforcement-learning-challenges-and-directions-2106.15691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-multiagent-reinforcement-learning-challenges-and-directions-2106.15691"/></url>
<url><loc>https://scifaro.com/en/abs/diff2dist-learning-spectrally-distinct-edge-functions-with-applications-to-cell-morphology-analysis-2106.15716</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diff2dist-learning-spectrally-distinct-edge-functions-with-applications-to-cell-morphology-analysis-2106.15716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diff2dist-learning-spectrally-distinct-edge-functions-with-applications-to-cell-morphology-analysis-2106.15716"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-errors-and-estimating-accuracy-on-unlabeled-data-with-self-training-ensembles-2106.15728</loc><lastmod>2023-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-errors-and-estimating-accuracy-on-unlabeled-data-with-self-training-ensembles-2106.15728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-errors-and-estimating-accuracy-on-unlabeled-data-with-self-training-ensembles-2106.15728"/></url>
<url><loc>https://scifaro.com/en/abs/uav-assisted-online-machine-learning-over-multi-tiered-networks-a-hierarchical-nested-personalized-federated-learning-approach-2106.15734</loc><lastmod>2022-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uav-assisted-online-machine-learning-over-multi-tiered-networks-a-hierarchical-nested-personalized-federated-learning-approach-2106.15734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uav-assisted-online-machine-learning-over-multi-tiered-networks-a-hierarchical-nested-personalized-federated-learning-approach-2106.15734"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-periodic-behavior-of-neural-network-training-with-batch-normalization-and-weight-decay-2106.15739</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-periodic-behavior-of-neural-network-training-with-batch-normalization-and-weight-decay-2106.15739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-periodic-behavior-of-neural-network-training-with-batch-normalization-and-weight-decay-2106.15739"/></url>
<url><loc>https://scifaro.com/en/abs/dual-gnns-graph-neural-network-learning-with-limited-supervision-2106.15755</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-gnns-graph-neural-network-learning-with-limited-supervision-2106.15755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-gnns-graph-neural-network-learning-with-limited-supervision-2106.15755"/></url>
<url><loc>https://scifaro.com/en/abs/curvature-graph-neural-network-2106.15762</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curvature-graph-neural-network-2106.15762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curvature-graph-neural-network-2106.15762"/></url>
<url><loc>https://scifaro.com/en/abs/unaware-fairness-hierarchical-random-forest-for-protected-classes-2106.15767</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unaware-fairness-hierarchical-random-forest-for-protected-classes-2106.15767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unaware-fairness-hierarchical-random-forest-for-protected-classes-2106.15767"/></url>
<url><loc>https://scifaro.com/en/abs/koopman-spectrum-nonlinear-regulators-and-efficient-online-learning-2106.15775</loc><lastmod>2024-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/koopman-spectrum-nonlinear-regulators-and-efficient-online-learning-2106.15775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/koopman-spectrum-nonlinear-regulators-and-efficient-online-learning-2106.15775"/></url>
<url><loc>https://scifaro.com/en/abs/local-reweighting-for-adversarial-training-2106.15776</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-reweighting-for-adversarial-training-2106.15776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-reweighting-for-adversarial-training-2106.15776"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-learning-with-stable-adversarial-training-2106.15791</loc><lastmod>2022-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-learning-with-stable-adversarial-training-2106.15791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-learning-with-stable-adversarial-training-2106.15791"/></url>
<url><loc>https://scifaro.com/en/abs/learning-bounds-for-open-set-learning-2106.15792</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-bounds-for-open-set-learning-2106.15792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-bounds-for-open-set-learning-2106.15792"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-epidemic-control-as-a-contextual-combinatorial-bandit-with-budget-2106.15808</loc><lastmod>2022-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-epidemic-control-as-a-contextual-combinatorial-bandit-with-budget-2106.15808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-epidemic-control-as-a-contextual-combinatorial-bandit-with-budget-2106.15808"/></url>
<url><loc>https://scifaro.com/en/abs/the-evolution-of-out-of-distribution-robustness-throughout-fine-tuning-2106.15831</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-evolution-of-out-of-distribution-robustness-throughout-fine-tuning-2106.15831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-evolution-of-out-of-distribution-robustness-throughout-fine-tuning-2106.15831"/></url>
<url><loc>https://scifaro.com/en/abs/edge-representation-learning-with-hypergraphs-2106.15845</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edge-representation-learning-with-hypergraphs-2106.15845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edge-representation-learning-with-hypergraphs-2106.15845"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-robust-architectures-for-deep-artificial-neural-networks-2106.15850</loc><lastmod>2023-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-robust-architectures-for-deep-artificial-neural-networks-2106.15850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-robust-architectures-for-deep-artificial-neural-networks-2106.15850"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-improving-early-stopping-for-learning-with-noisy-labels-2106.15853</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-improving-early-stopping-for-learning-with-noisy-labels-2106.15853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-improving-early-stopping-for-learning-with-noisy-labels-2106.15853"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-adversarial-attacks-on-observations-in-deep-reinforcement-learning-2106.15860</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-adversarial-attacks-on-observations-in-deep-reinforcement-learning-2106.15860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-adversarial-attacks-on-observations-in-deep-reinforcement-learning-2106.15860"/></url>
<url><loc>https://scifaro.com/en/abs/tuning-mixed-input-hyperparameters-on-the-fly-for-efficient-population-based-autorl-2106.15883</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tuning-mixed-input-hyperparameters-on-the-fly-for-efficient-population-based-autorl-2106.15883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tuning-mixed-input-hyperparameters-on-the-fly-for-efficient-population-based-autorl-2106.15883"/></url>
<url><loc>https://scifaro.com/en/abs/faithful-edge-federated-learning-scalability-and-privacy-2106.15905</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faithful-edge-federated-learning-scalability-and-privacy-2106.15905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faithful-edge-federated-learning-scalability-and-privacy-2106.15905"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-classification-autoencoder-to-defend-outliers-and-adversaries-2106.15927</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-classification-autoencoder-to-defend-outliers-and-adversaries-2106.15927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-classification-autoencoder-to-defend-outliers-and-adversaries-2106.15927"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-generative-utility-of-cyclic-conditionals-2106.15962</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-generative-utility-of-cyclic-conditionals-2106.15962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-generative-utility-of-cyclic-conditionals-2106.15962"/></url>
<url><loc>https://scifaro.com/en/abs/what-can-linear-interpolation-of-neural-network-loss-landscapes-tell-us-2106.16004</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-can-linear-interpolation-of-neural-network-loss-landscapes-tell-us-2106.16004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-can-linear-interpolation-of-neural-network-loss-landscapes-tell-us-2106.16004"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-efficiency-of-transformers-for-resource-constrained-devices-2106.16006</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-efficiency-of-transformers-for-resource-constrained-devices-2106.16006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-efficiency-of-transformers-for-resource-constrained-devices-2106.16006"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-how-to-artificially-increase-your-f1-score-with-a-biased-evaluation-protocol-2106.16020</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-how-to-artificially-increase-your-f1-score-with-a-biased-evaluation-protocol-2106.16020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-how-to-artificially-increase-your-f1-score-with-a-biased-evaluation-protocol-2106.16020"/></url>
<url><loc>https://scifaro.com/en/abs/latent-space-model-for-higher-order-networks-and-generalized-tensor-decomposition-2106.16042</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-space-model-for-higher-order-networks-and-generalized-tensor-decomposition-2106.16042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-space-model-for-higher-order-networks-and-generalized-tensor-decomposition-2106.16042"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-context-generalizability-in-citywide-crowd-mobility-prediction-an-analytic-framework-and-benchmark-2106.16046</loc><lastmod>2024-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-context-generalizability-in-citywide-crowd-mobility-prediction-an-analytic-framework-and-benchmark-2106.16046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-context-generalizability-in-citywide-crowd-mobility-prediction-an-analytic-framework-and-benchmark-2106.16046"/></url>
<url><loc>https://scifaro.com/en/abs/daema-denoising-autoencoder-with-mask-attention-2106.16057</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/daema-denoising-autoencoder-with-mask-attention-2106.16057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/daema-denoising-autoencoder-with-mask-attention-2106.16057"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-hidden-structure-in-self-supervised-learning-2106.16060</loc><lastmod>2021-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-hidden-structure-in-self-supervised-learning-2106.16060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-hidden-structure-in-self-supervised-learning-2106.16060"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-latent-space-of-autoencoders-with-interventional-assays-2106.16091</loc><lastmod>2023-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-latent-space-of-autoencoders-with-interventional-assays-2106.16091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-latent-space-of-autoencoders-with-interventional-assays-2106.16091"/></url>
<url><loc>https://scifaro.com/en/abs/psd-representations-for-effective-probability-models-2106.16116</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/psd-representations-for-effective-probability-models-2106.16116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/psd-representations-for-effective-probability-models-2106.16116"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-based-disease-progression-model-for-alzheimer-s-disease-2106.16187</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-based-disease-progression-model-for-alzheimer-s-disease-2106.16187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-based-disease-progression-model-for-alzheimer-s-disease-2106.16187"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-the-effects-of-stochasticity-for-hamiltonian-samplers-2106.16200</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-the-effects-of-stochasticity-for-hamiltonian-samplers-2106.16200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-the-effects-of-stochasticity-for-hamiltonian-samplers-2106.16200"/></url>
<url><loc>https://scifaro.com/en/abs/analytic-insights-into-structure-and-rank-of-neural-network-hessian-maps-2106.16225</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analytic-insights-into-structure-and-rank-of-neural-network-hessian-maps-2106.16225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analytic-insights-into-structure-and-rank-of-neural-network-hessian-maps-2106.16225"/></url>
<url><loc>https://scifaro.com/en/abs/long-short-term-cognitive-networks-2106.16233</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-short-term-cognitive-networks-2106.16233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-short-term-cognitive-networks-2106.16233"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-train-your-maml-to-excel-in-few-shot-classification-2106.16245</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-train-your-maml-to-excel-in-few-shot-classification-2106.16245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-train-your-maml-to-excel-in-few-shot-classification-2106.16245"/></url>
<url><loc>https://scifaro.com/en/abs/cascade-decoders-based-autoencoders-for-image-reconstruction-2107.00002</loc><lastmod>2022-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cascade-decoders-based-autoencoders-for-image-reconstruction-2107.00002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cascade-decoders-based-autoencoders-for-image-reconstruction-2107.00002"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-adversarial-examples-through-deep-neural-network-s-response-surface-and-uncertainty-regions-2107.00003</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-adversarial-examples-through-deep-neural-network-s-response-surface-and-uncertainty-regions-2107.00003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-adversarial-examples-through-deep-neural-network-s-response-surface-and-uncertainty-regions-2107.00003"/></url>
<url><loc>https://scifaro.com/en/abs/local-global-knowledge-distillation-in-heterogeneous-federated-learning-with-non-iid-data-2107.00051</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-global-knowledge-distillation-in-heterogeneous-federated-learning-with-non-iid-data-2107.00051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-global-knowledge-distillation-in-heterogeneous-federated-learning-with-non-iid-data-2107.00051"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-gradient-descent-ascent-and-consensus-optimization-for-smooth-games-convergence-analysis-under-expected-co-coercivity-2107.00052</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-gradient-descent-ascent-and-consensus-optimization-for-smooth-games-convergence-analysis-under-expected-co-coercivity-2107.00052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-gradient-descent-ascent-and-consensus-optimization-for-smooth-games-convergence-analysis-under-expected-co-coercivity-2107.00052"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-regions-of-attraction-in-learning-with-decision-dependent-distributions-2107.00055</loc><lastmod>2023-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-regions-of-attraction-in-learning-with-decision-dependent-distributions-2107.00055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-regions-of-attraction-in-learning-with-decision-dependent-distributions-2107.00055"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-fully-dynamic-coreset-for-continuous-and-bounded-learning-with-outliers-problems-2107.00068</loc><lastmod>2022-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-fully-dynamic-coreset-for-continuous-and-bounded-learning-with-outliers-problems-2107.00068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-fully-dynamic-coreset-for-continuous-and-bounded-learning-with-outliers-problems-2107.00068"/></url>
<url><loc>https://scifaro.com/en/abs/dep-l-0-improving-l-0-based-network-sparsification-via-dependency-modeling-2107.00070</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dep-l-0-improving-l-0-based-network-sparsification-via-dependency-modeling-2107.00070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dep-l-0-improving-l-0-based-network-sparsification-via-dependency-modeling-2107.00070"/></url>
<url><loc>https://scifaro.com/en/abs/using-antipatterns-to-avoid-mlops-mistakes-2107.00079</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-antipatterns-to-avoid-mlops-mistakes-2107.00079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-antipatterns-to-avoid-mlops-mistakes-2107.00079"/></url>
<url><loc>https://scifaro.com/en/abs/mesh-based-graph-convolutional-neural-networks-for-modeling-materials-with-microstructure-2107.00090</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mesh-based-graph-convolutional-neural-networks-for-modeling-materials-with-microstructure-2107.00090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mesh-based-graph-convolutional-neural-networks-for-modeling-materials-with-microstructure-2107.00090"/></url>
<url><loc>https://scifaro.com/en/abs/from-dnns-to-gans-review-of-efficient-hardware-architectures-for-deep-learning-2107.00092</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-dnns-to-gans-review-of-efficient-hardware-architectures-for-deep-learning-2107.00092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-dnns-to-gans-review-of-efficient-hardware-architectures-for-deep-learning-2107.00092"/></url>
<url><loc>https://scifaro.com/en/abs/improving-black-box-optimization-in-vae-latent-space-using-decoder-uncertainty-2107.00096</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-black-box-optimization-in-vae-latent-space-using-decoder-uncertainty-2107.00096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-black-box-optimization-in-vae-latent-space-using-decoder-uncertainty-2107.00096"/></url>
<url><loc>https://scifaro.com/en/abs/fcmi-feature-correlation-based-missing-data-imputation-2107.00100</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fcmi-feature-correlation-based-missing-data-imputation-2107.00100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fcmi-feature-correlation-based-missing-data-imputation-2107.00100"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-benefits-of-inducing-local-lipschitzness-for-robust-generative-adversarial-imitation-learning-2107.00116</loc><lastmod>2024-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-benefits-of-inducing-local-lipschitzness-for-robust-generative-adversarial-imitation-learning-2107.00116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-benefits-of-inducing-local-lipschitzness-for-robust-generative-adversarial-imitation-learning-2107.00116"/></url>
<url><loc>https://scifaro.com/en/abs/sanity-checks-for-lottery-tickets-does-your-winning-ticket-really-win-the-jackpot-2107.00166</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sanity-checks-for-lottery-tickets-does-your-winning-ticket-really-win-the-jackpot-2107.00166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sanity-checks-for-lottery-tickets-does-your-winning-ticket-really-win-the-jackpot-2107.00166"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-knowledge-distillation-an-inheritance-and-exploration-framework-2107.00181</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-knowledge-distillation-an-inheritance-and-exploration-framework-2107.00181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-knowledge-distillation-an-inheritance-and-exploration-framework-2107.00181"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-model-drift-estimation-with-batch-normalization-statistics-for-dataset-shift-detection-and-model-selection-2107.00191</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-model-drift-estimation-with-batch-normalization-statistics-for-dataset-shift-detection-and-model-selection-2107.00191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-model-drift-estimation-with-batch-normalization-statistics-for-dataset-shift-detection-and-model-selection-2107.00191"/></url>
<url><loc>https://scifaro.com/en/abs/markov-decision-process-modeled-with-bandits-for-sequential-decision-making-in-linear-flow-2107.00204</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-decision-process-modeled-with-bandits-for-sequential-decision-making-in-linear-flow-2107.00204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-decision-process-modeled-with-bandits-for-sequential-decision-making-in-linear-flow-2107.00204"/></url>
<url><loc>https://scifaro.com/en/abs/multi-modal-graph-learning-for-disease-prediction-2107.00206</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-modal-graph-learning-for-disease-prediction-2107.00206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-modal-graph-learning-for-disease-prediction-2107.00206"/></url>
<url><loc>https://scifaro.com/en/abs/controlburn-feature-selection-by-sparse-forests-2107.00219</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlburn-feature-selection-by-sparse-forests-2107.00219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlburn-feature-selection-by-sparse-forests-2107.00219"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-certified-segmentation-via-randomized-smoothing-2107.00228</loc><lastmod>2022-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-certified-segmentation-via-randomized-smoothing-2107.00228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-certified-segmentation-via-randomized-smoothing-2107.00228"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-certified-ell-infty-robustness-with-ema-method-and-ensemble-model-2107.00230</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-certified-ell-infty-robustness-with-ema-method-and-ensemble-model-2107.00230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-certified-ell-infty-robustness-with-ema-method-and-ensemble-model-2107.00230"/></url>
<url><loc>https://scifaro.com/en/abs/fedmix-approximation-of-mixup-under-mean-augmented-federated-learning-2107.00233</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedmix-approximation-of-mixup-under-mean-augmented-federated-learning-2107.00233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedmix-approximation-of-mixup-under-mean-augmented-federated-learning-2107.00233"/></url>
<url><loc>https://scifaro.com/en/abs/preconditioning-for-scalable-gaussian-process-hyperparameter-optimization-2107.00243</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preconditioning-for-scalable-gaussian-process-hyperparameter-optimization-2107.00243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preconditioning-for-scalable-gaussian-process-hyperparameter-optimization-2107.00243"/></url>
<url><loc>https://scifaro.com/en/abs/the-interplay-between-distribution-parameters-and-the-accuracy-robustness-tradeoff-in-classification-2107.00247</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-interplay-between-distribution-parameters-and-the-accuracy-robustness-tradeoff-in-classification-2107.00247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-interplay-between-distribution-parameters-and-the-accuracy-robustness-tradeoff-in-classification-2107.00247"/></url>
<url><loc>https://scifaro.com/en/abs/adaxpert-adapting-neural-architecture-for-growing-data-2107.00254</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaxpert-adapting-neural-architecture-for-growing-data-2107.00254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaxpert-adapting-neural-architecture-for-growing-data-2107.00254"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-graph-based-deep-learning-for-computational-histopathology-2107.00272</loc><lastmod>2024-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-graph-based-deep-learning-for-computational-histopathology-2107.00272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-graph-based-deep-learning-for-computational-histopathology-2107.00272"/></url>
<url><loc>https://scifaro.com/en/abs/mher-model-based-hindsight-experience-replay-2107.00306</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mher-model-based-hindsight-experience-replay-2107.00306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mher-model-based-hindsight-experience-replay-2107.00306"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-acceleration-and-feature-learning-in-infinitely-wide-neural-networks-with-bottlenecks-2107.00364</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-acceleration-and-feature-learning-in-infinitely-wide-neural-networks-with-bottlenecks-2107.00364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-acceleration-and-feature-learning-in-infinitely-wide-neural-networks-with-bottlenecks-2107.00364"/></url>
<url><loc>https://scifaro.com/en/abs/a-consistency-based-loss-for-deep-odometry-through-uncertainty-propagation-2107.00366</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-consistency-based-loss-for-deep-odometry-through-uncertainty-propagation-2107.00366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-consistency-based-loss-for-deep-odometry-through-uncertainty-propagation-2107.00366"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-of-windmill-time-series-using-long-short-term-cognitive-networks-2107.00425</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-of-windmill-time-series-using-long-short-term-cognitive-networks-2107.00425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-of-windmill-time-series-using-long-short-term-cognitive-networks-2107.00425"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-training-with-highly-incomplete-datasets-2107.00429</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-training-with-highly-incomplete-datasets-2107.00429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-training-with-highly-incomplete-datasets-2107.00429"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-stochastic-admm-for-decentralized-reinforcement-learning-in-edge-industrial-iot-2107.00481</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-stochastic-admm-for-decentralized-reinforcement-learning-in-edge-industrial-iot-2107.00481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-stochastic-admm-for-decentralized-reinforcement-learning-in-edge-industrial-iot-2107.00481"/></url>
<url><loc>https://scifaro.com/en/abs/secure-quantized-training-for-deep-learning-2107.00501</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secure-quantized-training-for-deep-learning-2107.00501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secure-quantized-training-for-deep-learning-2107.00501"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-and-deep-learning-for-fixed-text-keystroke-dynamics-2107.00507</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-and-deep-learning-for-fixed-text-keystroke-dynamics-2107.00507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-and-deep-learning-for-fixed-text-keystroke-dynamics-2107.00507"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-distribution-generalization-in-the-presence-of-nuisance-induced-spurious-correlations-2107.00520</loc><lastmod>2023-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-distribution-generalization-in-the-presence-of-nuisance-induced-spurious-correlations-2107.00520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-distribution-generalization-in-the-presence-of-nuisance-induced-spurious-correlations-2107.00520"/></url>
<url><loc>https://scifaro.com/en/abs/goal-conditioned-reinforcement-learning-with-imagined-subgoals-2107.00541</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/goal-conditioned-reinforcement-learning-with-imagined-subgoals-2107.00541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/goal-conditioned-reinforcement-learning-with-imagined-subgoals-2107.00541"/></url>
<url><loc>https://scifaro.com/en/abs/using-anomaly-feature-vectors-for-detecting-classifying-and-warning-of-outlier-adversarial-examples-2107.00561</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-anomaly-feature-vectors-for-detecting-classifying-and-warning-of-outlier-adversarial-examples-2107.00561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-anomaly-feature-vectors-for-detecting-classifying-and-warning-of-outlier-adversarial-examples-2107.00561"/></url>
<url><loc>https://scifaro.com/en/abs/learning-large-dags-by-combining-continuous-optimization-and-feedback-arc-set-heuristics-2107.00571</loc><lastmod>2021-07-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-large-dags-by-combining-continuous-optimization-and-feedback-arc-set-heuristics-2107.00571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-large-dags-by-combining-continuous-optimization-and-feedback-arc-set-heuristics-2107.00571"/></url>
<url><loc>https://scifaro.com/en/abs/disaggregated-interventions-to-reduce-inequality-2107.00593</loc><lastmod>2022-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disaggregated-interventions-to-reduce-inequality-2107.00593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disaggregated-interventions-to-reduce-inequality-2107.00593"/></url>
<url><loc>https://scifaro.com/en/abs/fast-margin-maximization-via-dual-acceleration-2107.00595</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-margin-maximization-via-dual-acceleration-2107.00595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-margin-maximization-via-dual-acceleration-2107.00595"/></url>
<url><loc>https://scifaro.com/en/abs/variational-diffusion-models-2107.00630</loc><lastmod>2023-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-diffusion-models-2107.00630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-diffusion-models-2107.00630"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-and-robustness-implications-in-object-centric-learning-2107.00637</loc><lastmod>2022-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-and-robustness-implications-in-object-centric-learning-2107.00637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-and-robustness-implications-in-object-centric-learning-2107.00637"/></url>
<url><loc>https://scifaro.com/en/abs/mandoline-model-evaluation-under-distribution-shift-2107.00643</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mandoline-model-evaluation-under-distribution-shift-2107.00643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mandoline-model-evaluation-under-distribution-shift-2107.00643"/></url>
<url><loc>https://scifaro.com/en/abs/stabilizing-deep-q-learning-with-convnets-and-vision-transformers-under-data-augmentation-2107.00644</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilizing-deep-q-learning-with-convnets-and-vision-transformers-under-data-augmentation-2107.00644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilizing-deep-q-learning-with-convnets-and-vision-transformers-under-data-augmentation-2107.00644"/></url>
<url><loc>https://scifaro.com/en/abs/shared-data-and-algorithms-for-deep-learning-in-fundamental-physics-2107.00656</loc><lastmod>2022-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shared-data-and-algorithms-for-deep-learning-in-fundamental-physics-2107.00656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shared-data-and-algorithms-for-deep-learning-in-fundamental-physics-2107.00656"/></url>
<url><loc>https://scifaro.com/en/abs/a-map-of-bandits-for-e-commerce-2107.00680</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-map-of-bandits-for-e-commerce-2107.00680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-map-of-bandits-for-e-commerce-2107.00680"/></url>
<url><loc>https://scifaro.com/en/abs/gap-dependent-bounds-for-two-player-markov-games-2107.00685</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gap-dependent-bounds-for-two-player-markov-games-2107.00685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gap-dependent-bounds-for-two-player-markov-games-2107.00685"/></url>
<url><loc>https://scifaro.com/en/abs/distilling-reinforcement-learning-tricks-for-video-games-2107.00703</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilling-reinforcement-learning-tricks-for-video-games-2107.00703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilling-reinforcement-learning-tricks-for-video-games-2107.00703"/></url>
<url><loc>https://scifaro.com/en/abs/long-short-ensemble-network-for-bipolar-manic-euthymic-state-recognition-based-on-wrist-worn-sensors-2107.00710</loc><lastmod>2022-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-short-ensemble-network-for-bipolar-manic-euthymic-state-recognition-based-on-wrist-worn-sensors-2107.00710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-short-ensemble-network-for-bipolar-manic-euthymic-state-recognition-based-on-wrist-worn-sensors-2107.00710"/></url>
<url><loc>https://scifaro.com/en/abs/similar-submodular-information-measures-based-active-learning-in-realistic-scenarios-2107.00717</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/similar-submodular-information-measures-based-active-learning-in-realistic-scenarios-2107.00717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/similar-submodular-information-measures-based-active-learning-in-realistic-scenarios-2107.00717"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-uncertainty-of-classifier-for-unsupervised-domain-adaptation-2107.00727</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-uncertainty-of-classifier-for-unsupervised-domain-adaptation-2107.00727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-uncertainty-of-classifier-for-unsupervised-domain-adaptation-2107.00727"/></url>
<url><loc>https://scifaro.com/en/abs/normalizing-flow-based-hidden-markov-models-for-classification-of-speech-phones-with-explainability-2107.00730</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalizing-flow-based-hidden-markov-models-for-classification-of-speech-phones-with-explainability-2107.00730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalizing-flow-based-hidden-markov-models-for-classification-of-speech-phones-with-explainability-2107.00730"/></url>
<url><loc>https://scifaro.com/en/abs/q-paths-generalizing-the-geometric-annealing-path-using-power-means-2107.00745</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/q-paths-generalizing-the-geometric-annealing-path-using-power-means-2107.00745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/q-paths-generalizing-the-geometric-annealing-path-using-power-means-2107.00745"/></url>
<url><loc>https://scifaro.com/en/abs/the-spotlight-a-general-method-for-discovering-systematic-errors-in-deep-learning-models-2107.00758</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-spotlight-a-general-method-for-discovering-systematic-errors-in-deep-learning-models-2107.00758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-spotlight-a-general-method-for-discovering-systematic-errors-in-deep-learning-models-2107.00758"/></url>
<url><loc>https://scifaro.com/en/abs/almost-tight-approximation-algorithms-for-explainable-clustering-2107.00774</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/almost-tight-approximation-algorithms-for-explainable-clustering-2107.00774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/almost-tight-approximation-algorithms-for-explainable-clustering-2107.00774"/></url>
<url><loc>https://scifaro.com/en/abs/on-bridging-generic-and-personalized-federated-learning-for-image-classification-2107.00778</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-bridging-generic-and-personalized-federated-learning-for-image-classification-2107.00778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-bridging-generic-and-personalized-federated-learning-for-image-classification-2107.00778"/></url>
<url><loc>https://scifaro.com/en/abs/the-causal-neural-connection-expressiveness-learnability-and-inference-2107.00793</loc><lastmod>2022-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-causal-neural-connection-expressiveness-learnability-and-inference-2107.00793"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-causal-neural-connection-expressiveness-learnability-and-inference-2107.00793"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-deep-double-descent-by-concatenating-inputs-2107.00797</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-deep-double-descent-by-concatenating-inputs-2107.00797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-deep-double-descent-by-concatenating-inputs-2107.00797"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-learning-for-unsupervised-feature-selection-2107.00816</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-learning-for-unsupervised-feature-selection-2107.00816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-learning-for-unsupervised-feature-selection-2107.00816"/></url>
<url><loc>https://scifaro.com/en/abs/decision-tree-heuristics-can-fail-even-in-the-smoothed-setting-2107.00819</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-tree-heuristics-can-fail-even-in-the-smoothed-setting-2107.00819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-tree-heuristics-can-fail-even-in-the-smoothed-setting-2107.00819"/></url>
<url><loc>https://scifaro.com/en/abs/rl-ncs-reinforcement-learning-based-data-driven-approach-for-nonuniform-compressed-sensing-2107.00838</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rl-ncs-reinforcement-learning-based-data-driven-approach-for-nonuniform-compressed-sensing-2107.00838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rl-ncs-reinforcement-learning-based-data-driven-approach-for-nonuniform-compressed-sensing-2107.00838"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-statistical-noise-reduction-for-multidimensional-spectral-data-2107.00844</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-statistical-noise-reduction-for-multidimensional-spectral-data-2107.00844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-statistical-noise-reduction-for-multidimensional-spectral-data-2107.00844"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-neural-architecture-search-by-learning-to-generate-graphs-from-datasets-2107.00860</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-neural-architecture-search-by-learning-to-generate-graphs-from-datasets-2107.00860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-neural-architecture-search-by-learning-to-generate-graphs-from-datasets-2107.00860"/></url>
<url><loc>https://scifaro.com/en/abs/reconsidering-dependency-networks-from-an-information-geometry-perspective-2107.00871</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconsidering-dependency-networks-from-an-information-geometry-perspective-2107.00871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconsidering-dependency-networks-from-an-information-geometry-perspective-2107.00871"/></url>
<url><loc>https://scifaro.com/en/abs/theory-of-deep-convolutional-neural-networks-iii-approximating-radial-functions-2107.00896</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theory-of-deep-convolutional-neural-networks-iii-approximating-radial-functions-2107.00896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theory-of-deep-convolutional-neural-networks-iii-approximating-radial-functions-2107.00896"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-dirichlet-weighting-enables-reliable-training-of-physics-informed-neural-networks-2107.00940</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-dirichlet-weighting-enables-reliable-training-of-physics-informed-neural-networks-2107.00940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-dirichlet-weighting-enables-reliable-training-of-physics-informed-neural-networks-2107.00940"/></url>
<url><loc>https://scifaro.com/en/abs/misinformation-detection-on-youtube-using-video-captions-2107.00941</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/misinformation-detection-on-youtube-using-video-captions-2107.00941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/misinformation-detection-on-youtube-using-video-captions-2107.00941"/></url>
<url><loc>https://scifaro.com/en/abs/online-metro-origin-destination-prediction-via-heterogeneous-information-aggregation-2107.00946</loc><lastmod>2022-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-metro-origin-destination-prediction-via-heterogeneous-information-aggregation-2107.00946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-metro-origin-destination-prediction-via-heterogeneous-information-aggregation-2107.00946"/></url>
<url><loc>https://scifaro.com/en/abs/from-personalized-medicine-to-population-health-a-survey-of-mhealth-sensing-techniques-2107.00948</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-personalized-medicine-to-population-health-a-survey-of-mhealth-sensing-techniques-2107.00948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-personalized-medicine-to-population-health-a-survey-of-mhealth-sensing-techniques-2107.00948"/></url>
<url><loc>https://scifaro.com/en/abs/socialai-benchmarking-socio-cognitive-abilities-in-deep-reinforcement-learning-agents-2107.00956</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/socialai-benchmarking-socio-cognitive-abilities-in-deep-reinforcement-learning-agents-2107.00956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/socialai-benchmarking-socio-cognitive-abilities-in-deep-reinforcement-learning-agents-2107.00956"/></url>
<url><loc>https://scifaro.com/en/abs/resist-layer-wise-decomposition-of-resnets-for-distributed-training-2107.00961</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resist-layer-wise-decomposition-of-resnets-for-distributed-training-2107.00961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resist-layer-wise-decomposition-of-resnets-for-distributed-training-2107.00961"/></url>
<url><loc>https://scifaro.com/en/abs/deformrs-certifying-input-deformations-with-randomized-smoothing-2107.00996</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deformrs-certifying-input-deformations-with-randomized-smoothing-2107.00996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deformrs-certifying-input-deformations-with-randomized-smoothing-2107.00996"/></url>
<url><loc>https://scifaro.com/en/abs/backward-compatible-prediction-updates-a-probabilistic-approach-2107.01057</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backward-compatible-prediction-updates-a-probabilistic-approach-2107.01057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backward-compatible-prediction-updates-a-probabilistic-approach-2107.01057"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-layer-algebra-a-framework-to-measure-capacity-and-compression-in-deep-learning-2107.01081</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-layer-algebra-a-framework-to-measure-capacity-and-compression-in-deep-learning-2107.01081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-layer-algebra-a-framework-to-measure-capacity-and-compression-in-deep-learning-2107.01081"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-leakage-resilient-federated-learning-2107.01154</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-leakage-resilient-federated-learning-2107.01154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-leakage-resilient-federated-learning-2107.01154"/></url>
<url><loc>https://scifaro.com/en/abs/momentum-accelerates-the-convergence-of-stochastic-auprc-maximization-2107.01173</loc><lastmod>2022-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/momentum-accelerates-the-convergence-of-stochastic-auprc-maximization-2107.01173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/momentum-accelerates-the-convergence-of-stochastic-auprc-maximization-2107.01173"/></url>
<url><loc>https://scifaro.com/en/abs/empirically-measuring-transfer-distance-for-system-design-and-operation-2107.01184</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirically-measuring-transfer-distance-for-system-design-and-operation-2107.01184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirically-measuring-transfer-distance-for-system-design-and-operation-2107.01184"/></url>
<url><loc>https://scifaro.com/en/abs/combinatorial-optimization-with-physics-inspired-graph-neural-networks-2107.01188</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combinatorial-optimization-with-physics-inspired-graph-neural-networks-2107.01188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combinatorial-optimization-with-physics-inspired-graph-neural-networks-2107.01188"/></url>
<url><loc>https://scifaro.com/en/abs/chisel-compression-aware-high-accuracy-embedded-indoor-localization-with-deep-learning-2107.01192</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chisel-compression-aware-high-accuracy-embedded-indoor-localization-with-deep-learning-2107.01192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chisel-compression-aware-high-accuracy-embedded-indoor-localization-with-deep-learning-2107.01192"/></url>
<url><loc>https://scifaro.com/en/abs/a-systems-theory-of-transfer-learning-2107.01196</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-systems-theory-of-transfer-learning-2107.01196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-systems-theory-of-transfer-learning-2107.01196"/></url>
<url><loc>https://scifaro.com/en/abs/road-roughness-estimation-using-machine-learning-2107.01199</loc><lastmod>2021-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/road-roughness-estimation-using-machine-learning-2107.01199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/road-roughness-estimation-using-machine-learning-2107.01199"/></url>
<url><loc>https://scifaro.com/en/abs/solving-machine-learning-problems-2107.01238</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-machine-learning-problems-2107.01238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-machine-learning-problems-2107.01238"/></url>
<url><loc>https://scifaro.com/en/abs/designing-machine-learning-pipeline-toolkit-for-automl-surrogate-modeling-optimization-2107.01253</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-machine-learning-pipeline-toolkit-for-automl-surrogate-modeling-optimization-2107.01253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-machine-learning-pipeline-toolkit-for-automl-surrogate-modeling-optimization-2107.01253"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-value-function-gaps-improved-instance-dependent-regret-bounds-for-episodic-reinforcement-learning-2107.01264</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-value-function-gaps-improved-instance-dependent-regret-bounds-for-episodic-reinforcement-learning-2107.01264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-value-function-gaps-improved-instance-dependent-regret-bounds-for-episodic-reinforcement-learning-2107.01264"/></url>
<url><loc>https://scifaro.com/en/abs/physics-guided-deep-learning-for-dynamical-systems-a-survey-2107.01272</loc><lastmod>2023-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-guided-deep-learning-for-dynamical-systems-a-survey-2107.01272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-guided-deep-learning-for-dynamical-systems-a-survey-2107.01272"/></url>
<url><loc>https://scifaro.com/en/abs/non-comparative-fairness-for-human-auditing-and-its-relation-to-traditional-fairness-notions-2107.01277</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-comparative-fairness-for-human-auditing-and-its-relation-to-traditional-fairness-notions-2107.01277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-comparative-fairness-for-human-auditing-and-its-relation-to-traditional-fairness-notions-2107.01277"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-clustering-based-analysis-of-neural-networks-2107.01296</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-clustering-based-analysis-of-neural-networks-2107.01296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-clustering-based-analysis-of-neural-networks-2107.01296"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-greedy-rank-learning-in-autoencoders-via-overparameterized-linear-networks-2107.01301</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-greedy-rank-learning-in-autoencoders-via-overparameterized-linear-networks-2107.01301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-greedy-rank-learning-in-autoencoders-via-overparameterized-linear-networks-2107.01301"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-of-time-series-data-with-prior-geographical-information-2107.01310</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-of-time-series-data-with-prior-geographical-information-2107.01310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-of-time-series-data-with-prior-geographical-information-2107.01310"/></url>
<url><loc>https://scifaro.com/en/abs/fair-decision-rules-for-binary-classification-2107.01325</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-decision-rules-for-binary-classification-2107.01325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-decision-rules-for-binary-classification-2107.01325"/></url>
<url><loc>https://scifaro.com/en/abs/shoring-design-provable-conditional-high-order-interaction-network-via-symbolic-testing-2107.01326</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shoring-design-provable-conditional-high-order-interaction-network-via-symbolic-testing-2107.01326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shoring-design-provable-conditional-high-order-interaction-network-via-symbolic-testing-2107.01326"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-probabilistic-photovoltaic-power-forecast-based-on-deep-convolutional-long-short-term-memory-network-and-kernel-density-estimation-2107.01343</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-probabilistic-photovoltaic-power-forecast-based-on-deep-convolutional-long-short-term-memory-network-and-kernel-density-estimation-2107.01343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-probabilistic-photovoltaic-power-forecast-based-on-deep-convolutional-long-short-term-memory-network-and-kernel-density-estimation-2107.01343"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-representatives-selection-in-non-metric-spaces-for-nearest-prototype-classification-2107.01345</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-representatives-selection-in-non-metric-spaces-for-nearest-prototype-classification-2107.01345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-representatives-selection-in-non-metric-spaces-for-nearest-prototype-classification-2107.01345"/></url>
<url><loc>https://scifaro.com/en/abs/examining-average-and-discounted-reward-optimality-criteria-in-reinforcement-learning-2107.01348</loc><lastmod>2022-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/examining-average-and-discounted-reward-optimality-criteria-in-reinforcement-learning-2107.01348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/examining-average-and-discounted-reward-optimality-criteria-in-reinforcement-learning-2107.01348"/></url>
<url><loc>https://scifaro.com/en/abs/split-and-bridge-adaptable-class-incremental-learning-within-a-single-neural-network-2107.01349</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/split-and-bridge-adaptable-class-incremental-learning-within-a-single-neural-network-2107.01349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/split-and-bridge-adaptable-class-incremental-learning-within-a-single-neural-network-2107.01349"/></url>
<url><loc>https://scifaro.com/en/abs/spatiotemporal-information-conversion-machine-for-time-series-prediction-2107.01353</loc><lastmod>2023-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatiotemporal-information-conversion-machine-for-time-series-prediction-2107.01353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatiotemporal-information-conversion-machine-for-time-series-prediction-2107.01353"/></url>
<url><loc>https://scifaro.com/en/abs/cinc-flow-characterizable-invertible-3x3-convolution-2107.01358</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cinc-flow-characterizable-invertible-3x3-convolution-2107.01358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cinc-flow-characterizable-invertible-3x3-convolution-2107.01358"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-off-policy-ranking-2107.01360</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-off-policy-ranking-2107.01360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-off-policy-ranking-2107.01360"/></url>
<url><loc>https://scifaro.com/en/abs/learning-debiased-representation-via-disentangled-feature-augmentation-2107.01372</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-debiased-representation-via-disentangled-feature-augmentation-2107.01372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-debiased-representation-via-disentangled-feature-augmentation-2107.01372"/></url>
<url><loc>https://scifaro.com/en/abs/memory-and-attention-in-deep-learning-2107.01390</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-and-attention-in-deep-learning-2107.01390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-and-attention-in-deep-learning-2107.01390"/></url>
<url><loc>https://scifaro.com/en/abs/exact-backpropagation-in-binary-weighted-networks-with-group-weight-transformations-2107.01400</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-backpropagation-in-binary-weighted-networks-with-group-weight-transformations-2107.01400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-backpropagation-in-binary-weighted-networks-with-group-weight-transformations-2107.01400"/></url>
<url><loc>https://scifaro.com/en/abs/optimality-inductive-biases-and-agnostic-guidelines-for-offline-reinforcement-learning-2107.01407</loc><lastmod>2022-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimality-inductive-biases-and-agnostic-guidelines-for-offline-reinforcement-learning-2107.01407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimality-inductive-biases-and-agnostic-guidelines-for-offline-reinforcement-learning-2107.01407"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-entropy-weighted-independent-set-pooling-for-graph-neural-networks-2107.01410</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-entropy-weighted-independent-set-pooling-for-graph-neural-networks-2107.01410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-entropy-weighted-independent-set-pooling-for-graph-neural-networks-2107.01410"/></url>
<url><loc>https://scifaro.com/en/abs/isotonic-data-augmentation-for-knowledge-distillation-2107.01412</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/isotonic-data-augmentation-for-knowledge-distillation-2107.01412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/isotonic-data-augmentation-for-knowledge-distillation-2107.01412"/></url>
<url><loc>https://scifaro.com/en/abs/mava-a-research-library-for-distributed-multi-agent-reinforcement-learning-in-jax-2107.01460</loc><lastmod>2023-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mava-a-research-library-for-distributed-multi-agent-reinforcement-learning-in-jax-2107.01460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mava-a-research-library-for-distributed-multi-agent-reinforcement-learning-in-jax-2107.01460"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-representation-learning-on-graphs-a-mutual-information-perspective-2107.01475</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-representation-learning-on-graphs-a-mutual-information-perspective-2107.01475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-representation-learning-on-graphs-a-mutual-information-perspective-2107.01475"/></url>
<url><loc>https://scifaro.com/en/abs/byzantine-robust-federated-learning-through-spatial-temporal-analysis-of-local-model-updates-2107.01477</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/byzantine-robust-federated-learning-through-spatial-temporal-analysis-of-local-model-updates-2107.01477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/byzantine-robust-federated-learning-through-spatial-temporal-analysis-of-local-model-updates-2107.01477"/></url>
<url><loc>https://scifaro.com/en/abs/on-positional-and-structural-node-features-for-graph-neural-networks-on-non-attributed-graphs-2107.01495</loc><lastmod>2022-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-positional-and-structural-node-features-for-graph-neural-networks-on-non-attributed-graphs-2107.01495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-positional-and-structural-node-features-for-graph-neural-networks-on-non-attributed-graphs-2107.01495"/></url>
<url><loc>https://scifaro.com/en/abs/bagua-scaling-up-distributed-learning-with-system-relaxations-2107.01499</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bagua-scaling-up-distributed-learning-with-system-relaxations-2107.01499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bagua-scaling-up-distributed-learning-with-system-relaxations-2107.01499"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-decision-making-under-misspecified-priors-with-applications-to-meta-learning-2107.01509</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-decision-making-under-misspecified-priors-with-applications-to-meta-learning-2107.01509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-decision-making-under-misspecified-priors-with-applications-to-meta-learning-2107.01509"/></url>
<url><loc>https://scifaro.com/en/abs/adal-adaptive-gradient-transformation-contributes-to-convergences-and-generalizations-2107.01525</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adal-adaptive-gradient-transformation-contributes-to-convergences-and-generalizations-2107.01525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adal-adaptive-gradient-transformation-contributes-to-convergences-and-generalizations-2107.01525"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-reachability-knowledge-into-a-multi-spatial-graph-convolution-based-seq2seq-model-for-traffic-forecasting-2107.01528</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-reachability-knowledge-into-a-multi-spatial-graph-convolution-based-seq2seq-model-for-traffic-forecasting-2107.01528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-reachability-knowledge-into-a-multi-spatial-graph-convolution-based-seq2seq-model-for-traffic-forecasting-2107.01528"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-graph-and-deep-learning-uncertainties-to-detect-anomalous-trajectories-2107.01557</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-graph-and-deep-learning-uncertainties-to-detect-anomalous-trajectories-2107.01557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-graph-and-deep-learning-uncertainties-to-detect-anomalous-trajectories-2107.01557"/></url>
<url><loc>https://scifaro.com/en/abs/certifiably-robust-interpretation-via-renyi-differential-privacy-2107.01561</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certifiably-robust-interpretation-via-renyi-differential-privacy-2107.01561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certifiably-robust-interpretation-via-renyi-differential-privacy-2107.01561"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-the-delta-method-and-the-bootstrap-in-deep-learning-classification-2107.01606</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-the-delta-method-and-the-bootstrap-in-deep-learning-classification-2107.01606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-the-delta-method-and-the-bootstrap-in-deep-learning-classification-2107.01606"/></url>
<url><loc>https://scifaro.com/en/abs/survey-leakage-and-privacy-at-inference-time-2107.01614</loc><lastmod>2022-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survey-leakage-and-privacy-at-inference-time-2107.01614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survey-leakage-and-privacy-at-inference-time-2107.01614"/></url>
<url><loc>https://scifaro.com/en/abs/a-typology-of-data-anomalies-2107.01615</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-typology-of-data-anomalies-2107.01615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-typology-of-data-anomalies-2107.01615"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-criteria-based-active-learning-with-fixed-size-determinantal-point-processes-2107.01622</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-criteria-based-active-learning-with-fixed-size-determinantal-point-processes-2107.01622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-criteria-based-active-learning-with-fixed-size-determinantal-point-processes-2107.01622"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretical-analysis-of-fine-tuning-with-linear-teachers-2107.01641</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-analysis-of-fine-tuning-with-linear-teachers-2107.01641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-analysis-of-fine-tuning-with-linear-teachers-2107.01641"/></url>
<url><loc>https://scifaro.com/en/abs/learning-odes-via-diffeomorphisms-for-fast-and-robust-integration-2107.01650</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-odes-via-diffeomorphisms-for-fast-and-robust-integration-2107.01650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-odes-via-diffeomorphisms-for-fast-and-robust-integration-2107.01650"/></url>
<url><loc>https://scifaro.com/en/abs/class-introspection-a-novel-technique-for-detecting-unlabeled-subclasses-by-leveraging-classifier-explainability-methods-2107.01657</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-introspection-a-novel-technique-for-detecting-unlabeled-subclasses-by-leveraging-classifier-explainability-methods-2107.01657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-introspection-a-novel-technique-for-detecting-unlabeled-subclasses-by-leveraging-classifier-explainability-methods-2107.01657"/></url>
<url><loc>https://scifaro.com/en/abs/low-dimensional-state-and-action-representation-learning-with-mdp-homomorphism-metrics-2107.01677</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-dimensional-state-and-action-representation-learning-with-mdp-homomorphism-metrics-2107.01677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-dimensional-state-and-action-representation-learning-with-mdp-homomorphism-metrics-2107.01677"/></url>
<url><loc>https://scifaro.com/en/abs/restless-and-uncertain-robust-policies-for-restless-bandits-via-deep-multi-agent-reinforcement-learning-2107.01689</loc><lastmod>2022-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/restless-and-uncertain-robust-policies-for-restless-bandits-via-deep-multi-agent-reinforcement-learning-2107.01689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/restless-and-uncertain-robust-policies-for-restless-bandits-via-deep-multi-agent-reinforcement-learning-2107.01689"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-learning-of-feedforward-neural-networks-with-different-activation-functions-2107.01702</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-learning-of-feedforward-neural-networks-with-different-activation-functions-2107.01702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-learning-of-feedforward-neural-networks-with-different-activation-functions-2107.01702"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-neural-networks-for-forecasting-time-series-with-multiple-seasonality-2107.01705</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-neural-networks-for-forecasting-time-series-with-multiple-seasonality-2107.01705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-neural-networks-for-forecasting-time-series-with-multiple-seasonality-2107.01705"/></url>
<url><loc>https://scifaro.com/en/abs/towards-scheduling-federated-deep-learning-using-meta-gradients-for-inter-hospital-learning-2107.01707</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-scheduling-federated-deep-learning-using-meta-gradients-for-inter-hospital-learning-2107.01707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-scheduling-federated-deep-learning-using-meta-gradients-for-inter-hospital-learning-2107.01707"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoder-based-randomized-learning-of-feedforward-neural-networks-for-regression-2107.01711</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoder-based-randomized-learning-of-feedforward-neural-networks-for-regression-2107.01711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoder-based-randomized-learning-of-feedforward-neural-networks-for-regression-2107.01711"/></url>
<url><loc>https://scifaro.com/en/abs/protected-probabilistic-classification-2107.01726</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/protected-probabilistic-classification-2107.01726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/protected-probabilistic-classification-2107.01726"/></url>
<url><loc>https://scifaro.com/en/abs/kaisa-an-adaptive-second-order-optimizer-framework-for-deep-neural-networks-2107.01739</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kaisa-an-adaptive-second-order-optimizer-framework-for-deep-neural-networks-2107.01739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kaisa-an-adaptive-second-order-optimizer-framework-for-deep-neural-networks-2107.01739"/></url>
<url><loc>https://scifaro.com/en/abs/the-least-restriction-for-offline-reinforcement-learning-2107.01757</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-least-restriction-for-offline-reinforcement-learning-2107.01757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-least-restriction-for-offline-reinforcement-learning-2107.01757"/></url>
<url><loc>https://scifaro.com/en/abs/single-model-for-influenza-forecasting-of-multiple-countries-by-multi-task-learning-2107.01760</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-model-for-influenza-forecasting-of-multiple-countries-by-multi-task-learning-2107.01760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-model-for-influenza-forecasting-of-multiple-countries-by-multi-task-learning-2107.01760"/></url>
<url><loc>https://scifaro.com/en/abs/a-contextual-analysis-of-multi-layer-perceptron-models-in-classifying-hand-written-digits-and-letters-limited-resources-2107.01782</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-contextual-analysis-of-multi-layer-perceptron-models-in-classifying-hand-written-digits-and-letters-limited-resources-2107.01782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-contextual-analysis-of-multi-layer-perceptron-models-in-classifying-hand-written-digits-and-letters-limited-resources-2107.01782"/></url>
<url><loc>https://scifaro.com/en/abs/why-is-pruning-at-initialization-immune-to-reinitializing-and-shuffling-2107.01808</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-is-pruning-at-initialization-immune-to-reinitializing-and-shuffling-2107.01808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-is-pruning-at-initialization-immune-to-reinitializing-and-shuffling-2107.01808"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-transferability-of-targeted-adversarial-examples-via-hierarchical-generative-networks-2107.01809</loc><lastmod>2022-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-transferability-of-targeted-adversarial-examples-via-hierarchical-generative-networks-2107.01809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-transferability-of-targeted-adversarial-examples-via-hierarchical-generative-networks-2107.01809"/></url>
<url><loc>https://scifaro.com/en/abs/an-explainable-ai-system-for-the-diagnosis-of-high-dimensional-biomedical-data-2107.01820</loc><lastmod>2022-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-explainable-ai-system-for-the-diagnosis-of-high-dimensional-biomedical-data-2107.01820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-explainable-ai-system-for-the-diagnosis-of-high-dimensional-biomedical-data-2107.01820"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-via-model-ensemble-exploration-and-exploitation-2107.01825</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-via-model-ensemble-exploration-and-exploitation-2107.01825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-reinforcement-learning-via-model-ensemble-exploration-and-exploitation-2107.01825"/></url>
<url><loc>https://scifaro.com/en/abs/arm-net-adaptive-relation-modeling-network-for-structured-data-2107.01830</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arm-net-adaptive-relation-modeling-network-for-structured-data-2107.01830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arm-net-adaptive-relation-modeling-network-for-structured-data-2107.01830"/></url>
<url><loc>https://scifaro.com/en/abs/provable-convergence-of-nesterov-s-accelerated-gradient-method-for-over-parameterized-neural-networks-2107.01832</loc><lastmod>2022-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-convergence-of-nesterov-s-accelerated-gradient-method-for-over-parameterized-neural-networks-2107.01832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-convergence-of-nesterov-s-accelerated-gradient-method-for-over-parameterized-neural-networks-2107.01832"/></url>
<url><loc>https://scifaro.com/en/abs/fast-rate-learning-in-stochastic-first-price-bidding-2107.01835</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-rate-learning-in-stochastic-first-price-bidding-2107.01835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-rate-learning-in-stochastic-first-price-bidding-2107.01835"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-sliced-wasserstein-distance-2107.01848</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-sliced-wasserstein-distance-2107.01848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-sliced-wasserstein-distance-2107.01848"/></url>
<url><loc>https://scifaro.com/en/abs/poisoning-attack-against-estimating-from-pairwise-comparisons-2107.01854</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisoning-attack-against-estimating-from-pairwise-comparisons-2107.01854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisoning-attack-against-estimating-from-pairwise-comparisons-2107.01854"/></url>
<url><loc>https://scifaro.com/en/abs/automating-generative-deep-learning-for-artistic-purposes-challenges-and-opportunities-2107.01858</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automating-generative-deep-learning-for-artistic-purposes-challenges-and-opportunities-2107.01858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automating-generative-deep-learning-for-artistic-purposes-challenges-and-opportunities-2107.01858"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-concept-drift-with-neural-network-model-uncertainty-2107.01873</loc><lastmod>2022-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-concept-drift-with-neural-network-model-uncertainty-2107.01873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-concept-drift-with-neural-network-model-uncertainty-2107.01873"/></url>
<url><loc>https://scifaro.com/en/abs/robust-online-convex-optimization-in-the-presence-of-outliers-2107.01881</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-online-convex-optimization-in-the-presence-of-outliers-2107.01881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-online-convex-optimization-in-the-presence-of-outliers-2107.01881"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-the-numbers-of-queries-and-replies-in-federated-learning-with-differential-privacy-2107.01895</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-the-numbers-of-queries-and-replies-in-federated-learning-with-differential-privacy-2107.01895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-the-numbers-of-queries-and-replies-in-federated-learning-with-differential-privacy-2107.01895"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-distribution-of-penultimate-activations-of-classification-networks-2107.01900</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-distribution-of-penultimate-activations-of-classification-networks-2107.01900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-distribution-of-penultimate-activations-of-classification-networks-2107.01900"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-and-auxiliary-tasks-for-data-efficient-deep-reinforcement-learning-2107.01904</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-and-auxiliary-tasks-for-data-efficient-deep-reinforcement-learning-2107.01904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-and-auxiliary-tasks-for-data-efficient-deep-reinforcement-learning-2107.01904"/></url>
<url><loc>https://scifaro.com/en/abs/when-and-how-to-fool-explainable-models-and-humans-with-adversarial-examples-2107.01943</loc><lastmod>2025-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-and-how-to-fool-explainable-models-and-humans-with-adversarial-examples-2107.01943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-and-how-to-fool-explainable-models-and-humans-with-adversarial-examples-2107.01943"/></url>
<url><loc>https://scifaro.com/en/abs/partition-and-code-learning-how-to-compress-graphs-2107.01952</loc><lastmod>2023-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partition-and-code-learning-how-to-compress-graphs-2107.01952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partition-and-code-learning-how-to-compress-graphs-2107.01952"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-faults-during-automatic-screwdriving-a-dataset-and-use-case-of-anomaly-detection-for-automatic-screwdriving-2107.01955</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-faults-during-automatic-screwdriving-a-dataset-and-use-case-of-anomaly-detection-for-automatic-screwdriving-2107.01955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-faults-during-automatic-screwdriving-a-dataset-and-use-case-of-anomaly-detection-for-automatic-screwdriving-2107.01955"/></url>
<url><loc>https://scifaro.com/en/abs/universal-approximation-of-functions-on-sets-2107.01959</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-approximation-of-functions-on-sets-2107.01959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-approximation-of-functions-on-sets-2107.01959"/></url>
<url><loc>https://scifaro.com/en/abs/the-minerl-basalt-competition-on-learning-from-human-feedback-2107.01969</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-minerl-basalt-competition-on-learning-from-human-feedback-2107.01969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-minerl-basalt-competition-on-learning-from-human-feedback-2107.01969"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-fraud-detection-in-e-commerce-a-research-agenda-2107.01979</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-fraud-detection-in-e-commerce-a-research-agenda-2107.01979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-fraud-detection-in-e-commerce-a-research-agenda-2107.01979"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-importance-learning-for-incomplete-observations-2107.01983</loc><lastmod>2022-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-importance-learning-for-incomplete-observations-2107.01983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-importance-learning-for-incomplete-observations-2107.01983"/></url>
<url><loc>https://scifaro.com/en/abs/dealing-with-adversarial-player-strategies-in-the-neural-network-game-innk-through-ensemble-learning-2107.02052</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dealing-with-adversarial-player-strategies-in-the-neural-network-game-innk-through-ensemble-learning-2107.02052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dealing-with-adversarial-player-strategies-in-the-neural-network-game-innk-through-ensemble-learning-2107.02052"/></url>
<url><loc>https://scifaro.com/en/abs/scod-active-object-detection-for-embodied-agents-using-sensory-commutativity-of-action-sequences-2107.02069</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scod-active-object-detection-for-embodied-agents-using-sensory-commutativity-of-action-sequences-2107.02069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scod-active-object-detection-for-embodied-agents-using-sensory-commutativity-of-action-sequences-2107.02069"/></url>
<url><loc>https://scifaro.com/en/abs/fmbn-e-efficient-unsupervised-network-structure-ensemble-and-selection-for-clustering-2107.02071</loc><lastmod>2022-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fmbn-e-efficient-unsupervised-network-structure-ensemble-and-selection-for-clustering-2107.02071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fmbn-e-efficient-unsupervised-network-structure-ensemble-and-selection-for-clustering-2107.02071"/></url>
<url><loc>https://scifaro.com/en/abs/are-standard-object-segmentation-models-sufficient-for-learning-affordance-segmentation-2107.02095</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-standard-object-segmentation-models-sufficient-for-learning-affordance-segmentation-2107.02095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-standard-object-segmentation-models-sufficient-for-learning-affordance-segmentation-2107.02095"/></url>
<url><loc>https://scifaro.com/en/abs/on-bi-gram-graph-attributes-2107.02128</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-bi-gram-graph-attributes-2107.02128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-bi-gram-graph-attributes-2107.02128"/></url>
<url><loc>https://scifaro.com/en/abs/feature-cross-search-via-submodular-optimization-2107.02139</loc><lastmod>2021-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-cross-search-via-submodular-optimization-2107.02139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-cross-search-via-submodular-optimization-2107.02139"/></url>
<url><loc>https://scifaro.com/en/abs/dppin-a-biological-repository-of-dynamic-protein-protein-interaction-network-data-2107.02168</loc><lastmod>2022-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dppin-a-biological-repository-of-dynamic-protein-protein-interaction-network-data-2107.02168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dppin-a-biological-repository-of-dynamic-protein-protein-interaction-network-data-2107.02168"/></url>
<url><loc>https://scifaro.com/en/abs/agents-that-listen-high-throughput-reinforcement-learning-with-multiple-sensory-systems-2107.02195</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agents-that-listen-high-throughput-reinforcement-learning-with-multiple-sensory-systems-2107.02195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agents-that-listen-high-throughput-reinforcement-learning-with-multiple-sensory-systems-2107.02195"/></url>
<url><loc>https://scifaro.com/en/abs/featurized-density-ratio-estimation-2107.02212</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/featurized-density-ratio-estimation-2107.02212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/featurized-density-ratio-estimation-2107.02212"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-amidst-heterogeneity-and-ambiguity-2107.02228</loc><lastmod>2023-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-amidst-heterogeneity-and-ambiguity-2107.02228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-amidst-heterogeneity-and-ambiguity-2107.02228"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-weak-supervision-2107.02233</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-weak-supervision-2107.02233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-weak-supervision-2107.02233"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-first-order-contextual-bandits-prediction-allocation-and-triangular-discrimination-2107.02237</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-first-order-contextual-bandits-prediction-allocation-and-triangular-discrimination-2107.02237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-first-order-contextual-bandits-prediction-allocation-and-triangular-discrimination-2107.02237"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-lstm-and-gru-networks-for-learning-symbolic-sequences-2107.02248</loc><lastmod>2023-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-lstm-and-gru-networks-for-learning-symbolic-sequences-2107.02248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-lstm-and-gru-networks-for-learning-symbolic-sequences-2107.02248"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-by-design-shortcuts-to-generalization-in-deep-learning-2107.02253</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-by-design-shortcuts-to-generalization-in-deep-learning-2107.02253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-by-design-shortcuts-to-generalization-in-deep-learning-2107.02253"/></url>
<url><loc>https://scifaro.com/en/abs/dueling-bandits-with-adversarial-sleeping-2107.02274</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dueling-bandits-with-adversarial-sleeping-2107.02274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dueling-bandits-with-adversarial-sleeping-2107.02274"/></url>
<url><loc>https://scifaro.com/en/abs/ppgn-physics-preserved-graph-networks-for-real-time-fault-location-in-distribution-systems-with-limited-observation-and-labels-2107.02275</loc><lastmod>2024-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ppgn-physics-preserved-graph-networks-for-real-time-fault-location-in-distribution-systems-with-limited-observation-and-labels-2107.02275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ppgn-physics-preserved-graph-networks-for-real-time-fault-location-in-distribution-systems-with-limited-observation-and-labels-2107.02275"/></url>
<url><loc>https://scifaro.com/en/abs/garbage-in-garbage-out-revisited-what-do-machine-learning-application-papers-report-about-human-labeled-training-data-2107.02278</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/garbage-in-garbage-out-revisited-what-do-machine-learning-application-papers-report-about-human-labeled-training-data-2107.02278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/garbage-in-garbage-out-revisited-what-do-machine-learning-application-papers-report-about-human-labeled-training-data-2107.02278"/></url>
<url><loc>https://scifaro.com/en/abs/deepcel0-for-2d-single-molecule-localization-in-fluorescence-microscopy-2107.02281</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepcel0-for-2d-single-molecule-localization-in-fluorescence-microscopy-2107.02281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepcel0-for-2d-single-molecule-localization-in-fluorescence-microscopy-2107.02281"/></url>
<url><loc>https://scifaro.com/en/abs/connectivity-matters-neural-network-pruning-through-the-lens-of-effective-sparsity-2107.02306</loc><lastmod>2023-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/connectivity-matters-neural-network-pruning-through-the-lens-of-effective-sparsity-2107.02306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/connectivity-matters-neural-network-pruning-through-the-lens-of-effective-sparsity-2107.02306"/></url>
<url><loc>https://scifaro.com/en/abs/memory-sample-lower-bounds-for-learning-parity-with-noise-2107.02320</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-sample-lower-bounds-for-learning-parity-with-noise-2107.02320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-sample-lower-bounds-for-learning-parity-with-noise-2107.02320"/></url>
<url><loc>https://scifaro.com/en/abs/multi-modal-mutual-information-mummi-training-for-robust-self-supervised-deep-reinforcement-learning-2107.02339</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-modal-mutual-information-mummi-training-for-robust-self-supervised-deep-reinforcement-learning-2107.02339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-modal-mutual-information-mummi-training-for-robust-self-supervised-deep-reinforcement-learning-2107.02339"/></url>
<url><loc>https://scifaro.com/en/abs/an-ensemble-noise-robust-k-fold-cross-validation-selection-method-for-noisy-labels-2107.02347</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-ensemble-noise-robust-k-fold-cross-validation-selection-method-for-noisy-labels-2107.02347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-ensemble-noise-robust-k-fold-cross-validation-selection-method-for-noisy-labels-2107.02347"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-clinical-context-for-user-centered-explainability-a-diabetes-use-case-2107.02359</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-clinical-context-for-user-centered-explainability-a-diabetes-use-case-2107.02359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-clinical-context-for-user-centered-explainability-a-diabetes-use-case-2107.02359"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-valued-neural-communication-2107.02367</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-valued-neural-communication-2107.02367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-valued-neural-communication-2107.02367"/></url>
<url><loc>https://scifaro.com/en/abs/weighted-gaussian-process-bandits-for-non-stationary-environments-2107.02371</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weighted-gaussian-process-bandits-for-non-stationary-environments-2107.02371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weighted-gaussian-process-bandits-for-non-stationary-environments-2107.02371"/></url>
<url><loc>https://scifaro.com/en/abs/splitavg-a-heterogeneity-aware-federated-deep-learning-method-for-medical-imaging-2107.02375</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/splitavg-a-heterogeneity-aware-federated-deep-learning-method-for-medical-imaging-2107.02375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/splitavg-a-heterogeneity-aware-federated-deep-learning-method-for-medical-imaging-2107.02375"/></url>
<url><loc>https://scifaro.com/en/abs/a-short-note-on-the-relationship-of-information-gain-and-eluder-dimension-2107.02377</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-short-note-on-the-relationship-of-information-gain-and-eluder-dimension-2107.02377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-short-note-on-the-relationship-of-information-gain-and-eluder-dimension-2107.02377"/></url>
<url><loc>https://scifaro.com/en/abs/learning-an-explicit-hyperparameter-prediction-function-conditioned-on-tasks-2107.02378</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-an-explicit-hyperparameter-prediction-function-conditioned-on-tasks-2107.02378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-an-explicit-hyperparameter-prediction-function-conditioned-on-tasks-2107.02378"/></url>
<url><loc>https://scifaro.com/en/abs/an-inverse-qsar-method-based-on-linear-regression-and-integer-programming-2107.02381</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-inverse-qsar-method-based-on-linear-regression-and-integer-programming-2107.02381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-inverse-qsar-method-based-on-linear-regression-and-integer-programming-2107.02381"/></url>
<url><loc>https://scifaro.com/en/abs/dirichlet-energy-constrained-learning-for-deep-graph-neural-networks-2107.02392</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dirichlet-energy-constrained-learning-for-deep-graph-neural-networks-2107.02392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dirichlet-energy-constrained-learning-for-deep-graph-neural-networks-2107.02392"/></url>
<url><loc>https://scifaro.com/en/abs/deep-network-approximation-achieving-arbitrary-accuracy-with-fixed-number-of-neurons-2107.02397</loc><lastmod>2022-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-network-approximation-achieving-arbitrary-accuracy-with-fixed-number-of-neurons-2107.02397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-network-approximation-achieving-arbitrary-accuracy-with-fixed-number-of-neurons-2107.02397"/></url>
<url><loc>https://scifaro.com/en/abs/deep-visual-attention-based-transfer-clustering-2107.02415</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-visual-attention-based-transfer-clustering-2107.02415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-visual-attention-based-transfer-clustering-2107.02415"/></url>
<url><loc>https://scifaro.com/en/abs/equivariant-bifurcation-quadratic-equivariants-and-symmetry-breaking-for-the-standard-representation-of-s-n-2107.02422</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivariant-bifurcation-quadratic-equivariants-and-symmetry-breaking-for-the-standard-representation-of-s-n-2107.02422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivariant-bifurcation-quadratic-equivariants-and-symmetry-breaking-for-the-standard-representation-of-s-n-2107.02422"/></url>
<url><loc>https://scifaro.com/en/abs/improving-text-to-image-synthesis-using-contrastive-learning-2107.02423</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-text-to-image-synthesis-using-contrastive-learning-2107.02423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-text-to-image-synthesis-using-contrastive-learning-2107.02423"/></url>
<url><loc>https://scifaro.com/en/abs/graddiv-adversarial-robustness-of-randomized-neural-networks-via-gradient-diversity-regularization-2107.02425</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graddiv-adversarial-robustness-of-randomized-neural-networks-via-gradient-diversity-regularization-2107.02425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graddiv-adversarial-robustness-of-randomized-neural-networks-via-gradient-diversity-regularization-2107.02425"/></url>
<url><loc>https://scifaro.com/en/abs/dynamical-system-parameter-identification-using-deep-recurrent-cell-networks-2107.02427</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamical-system-parameter-identification-using-deep-recurrent-cell-networks-2107.02427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamical-system-parameter-identification-using-deep-recurrent-cell-networks-2107.02427"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-nonparametric-modelling-for-model-free-reinforcement-learning-in-lte-laa-and-wi-fi-coexistence-2107.02431</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-nonparametric-modelling-for-model-free-reinforcement-learning-in-lte-laa-and-wi-fi-coexistence-2107.02431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-nonparametric-modelling-for-model-free-reinforcement-learning-in-lte-laa-and-wi-fi-coexistence-2107.02431"/></url>
<url><loc>https://scifaro.com/en/abs/shell-language-processing-unix-command-parsing-for-machine-learning-2107.02438</loc><lastmod>2022-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shell-language-processing-unix-command-parsing-for-machine-learning-2107.02438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shell-language-processing-unix-command-parsing-for-machine-learning-2107.02438"/></url>
<url><loc>https://scifaro.com/en/abs/early-recognition-of-ball-catching-success-in-clinical-trials-with-rnn-based-predictive-classification-2107.02442</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-recognition-of-ball-catching-success-in-clinical-trials-with-rnn-based-predictive-classification-2107.02442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-recognition-of-ball-catching-success-in-clinical-trials-with-rnn-based-predictive-classification-2107.02442"/></url>
<url><loc>https://scifaro.com/en/abs/neural-mixture-models-with-expectation-maximization-for-end-to-end-deep-clustering-2107.02453</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-mixture-models-with-expectation-maximization-for-end-to-end-deep-clustering-2107.02453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-mixture-models-with-expectation-maximization-for-end-to-end-deep-clustering-2107.02453"/></url>
<url><loc>https://scifaro.com/en/abs/evars-gpr-event-triggered-augmented-refitting-of-gaussian-process-regression-for-seasonal-data-2107.02463</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evars-gpr-event-triggered-augmented-refitting-of-gaussian-process-regression-for-seasonal-data-2107.02463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evars-gpr-event-triggered-augmented-refitting-of-gaussian-process-regression-for-seasonal-data-2107.02463"/></url>
<url><loc>https://scifaro.com/en/abs/deepdds-deep-graph-neural-network-with-attention-mechanism-to-predict-synergistic-drug-combinations-2107.02467</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepdds-deep-graph-neural-network-with-attention-mechanism-to-predict-synergistic-drug-combinations-2107.02467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepdds-deep-graph-neural-network-with-attention-mechanism-to-predict-synergistic-drug-combinations-2107.02467"/></url>
<url><loc>https://scifaro.com/en/abs/an-evaluation-of-machine-learning-and-deep-learning-models-for-drought-prediction-using-weather-data-2107.02517</loc><lastmod>2022-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-evaluation-of-machine-learning-and-deep-learning-models-for-drought-prediction-using-weather-data-2107.02517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-evaluation-of-machine-learning-and-deep-learning-models-for-drought-prediction-using-weather-data-2107.02517"/></url>
<url><loc>https://scifaro.com/en/abs/dtgan-differential-private-training-for-tabular-gans-2107.02521</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dtgan-differential-private-training-for-tabular-gans-2107.02521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dtgan-differential-private-training-for-tabular-gans-2107.02521"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-uncertainties-and-where-to-find-them-2107.02526</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-uncertainties-and-where-to-find-them-2107.02526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-uncertainties-and-where-to-find-them-2107.02526"/></url>
<url><loc>https://scifaro.com/en/abs/universal-approximation-and-model-compression-for-radial-neural-networks-2107.02550</loc><lastmod>2023-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-approximation-and-model-compression-for-radial-neural-networks-2107.02550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-approximation-and-model-compression-for-radial-neural-networks-2107.02550"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-positional-encoding-2107.02561</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-positional-encoding-2107.02561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-positional-encoding-2107.02561"/></url>
<url><loc>https://scifaro.com/en/abs/prioritized-training-on-points-that-are-learnable-worth-learning-and-not-yet-learned-workshop-version-2107.02565</loc><lastmod>2023-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prioritized-training-on-points-that-are-learnable-worth-learning-and-not-yet-learned-workshop-version-2107.02565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prioritized-training-on-points-that-are-learnable-worth-learning-and-not-yet-learned-workshop-version-2107.02565"/></url>
<url><loc>https://scifaro.com/en/abs/energy-consumption-of-deep-generative-audio-models-2107.02621</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-consumption-of-deep-generative-audio-models-2107.02621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-consumption-of-deep-generative-audio-models-2107.02621"/></url>
<url><loc>https://scifaro.com/en/abs/multi-level-graph-contrastive-learning-2107.02639</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-level-graph-contrastive-learning-2107.02639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-level-graph-contrastive-learning-2107.02639"/></url>
<url><loc>https://scifaro.com/en/abs/on-generalization-of-graph-autoencoders-with-adversarial-training-2107.02658</loc><lastmod>2021-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-generalization-of-graph-autoencoders-with-adversarial-training-2107.02658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-generalization-of-graph-autoencoders-with-adversarial-training-2107.02658"/></url>
<url><loc>https://scifaro.com/en/abs/does-dataset-complexity-matters-for-model-explainers-2107.02661</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-dataset-complexity-matters-for-model-explainers-2107.02661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-dataset-complexity-matters-for-model-explainers-2107.02661"/></url>
<url><loc>https://scifaro.com/en/abs/remote-sensing-and-ai-for-building-climate-adaptation-applications-2107.02693</loc><lastmod>2022-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/remote-sensing-and-ai-for-building-climate-adaptation-applications-2107.02693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/remote-sensing-and-ai-for-building-climate-adaptation-applications-2107.02693"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-off-policy-evaluation-approach-for-general-value-function-2107.02711</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-off-policy-evaluation-approach-for-general-value-function-2107.02711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-off-policy-evaluation-approach-for-general-value-function-2107.02711"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-subgroup-disparity-using-epistemic-uncertainty-in-mammography-2107.02716</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-subgroup-disparity-using-epistemic-uncertainty-in-mammography-2107.02716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-subgroup-disparity-using-epistemic-uncertainty-in-mammography-2107.02716"/></url>
<url><loc>https://scifaro.com/en/abs/adarl-what-where-and-how-to-adapt-in-transfer-reinforcement-learning-2107.02729</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adarl-what-where-and-how-to-adapt-in-transfer-reinforcement-learning-2107.02729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adarl-what-where-and-how-to-adapt-in-transfer-reinforcement-learning-2107.02729"/></url>
<url><loc>https://scifaro.com/en/abs/provable-lipschitz-certification-for-generative-models-2107.02732</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-lipschitz-certification-for-generative-models-2107.02732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-lipschitz-certification-for-generative-models-2107.02732"/></url>
<url><loc>https://scifaro.com/en/abs/dueling-bandits-with-team-comparisons-2107.02738</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dueling-bandits-with-team-comparisons-2107.02738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dueling-bandits-with-team-comparisons-2107.02738"/></url>
<url><loc>https://scifaro.com/en/abs/fedfog-network-aware-optimization-of-federated-learning-over-wireless-fog-cloud-systems-2107.02755</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedfog-network-aware-optimization-of-federated-learning-over-wireless-fog-cloud-systems-2107.02755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedfog-network-aware-optimization-of-federated-learning-over-wireless-fog-cloud-systems-2107.02755"/></url>
<url><loc>https://scifaro.com/en/abs/a-causal-bandit-approach-to-learning-good-atomic-interventions-in-presence-of-unobserved-confounders-2107.02772</loc><lastmod>2022-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-causal-bandit-approach-to-learning-good-atomic-interventions-in-presence-of-unobserved-confounders-2107.02772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-causal-bandit-approach-to-learning-good-atomic-interventions-in-presence-of-unobserved-confounders-2107.02772"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-explanations-in-sequential-decision-making-under-uncertainty-2107.02776</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-explanations-in-sequential-decision-making-under-uncertainty-2107.02776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-explanations-in-sequential-decision-making-under-uncertainty-2107.02776"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-reduced-order-modeling-of-environmental-hydrodynamics-using-deep-autoencoders-and-neural-odes-2107.02784</loc><lastmod>2021-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-reduced-order-modeling-of-environmental-hydrodynamics-using-deep-autoencoders-and-neural-odes-2107.02784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-reduced-order-modeling-of-environmental-hydrodynamics-using-deep-autoencoders-and-neural-odes-2107.02784"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-error-analysis-of-neural-networks-with-gradient-based-regularization-2107.02797</loc><lastmod>2022-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-error-analysis-of-neural-networks-with-gradient-based-regularization-2107.02797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-error-analysis-of-neural-networks-with-gradient-based-regularization-2107.02797"/></url>
<url><loc>https://scifaro.com/en/abs/logit-based-uncertainty-measure-in-classification-2107.02845</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logit-based-uncertainty-measure-in-classification-2107.02845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logit-based-uncertainty-measure-in-classification-2107.02845"/></url>
<url><loc>https://scifaro.com/en/abs/principles-for-evaluation-of-ai-ml-model-performance-and-robustness-2107.02868</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principles-for-evaluation-of-ai-ml-model-performance-and-robustness-2107.02868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principles-for-evaluation-of-ai-ml-model-performance-and-robustness-2107.02868"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-continuous-time-markov-chains-helps-resolve-underspecification-2107.02911</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-continuous-time-markov-chains-helps-resolve-underspecification-2107.02911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-continuous-time-markov-chains-helps-resolve-underspecification-2107.02911"/></url>
<url><loc>https://scifaro.com/en/abs/universal-approximation-for-log-concave-distributions-using-well-conditioned-normalizing-flows-2107.02951</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-approximation-for-log-concave-distributions-using-well-conditioned-normalizing-flows-2107.02951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-approximation-for-log-concave-distributions-using-well-conditioned-normalizing-flows-2107.02951"/></url>
<url><loc>https://scifaro.com/en/abs/deep-extrapolation-for-attribute-enhanced-generation-2107.02968</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-extrapolation-for-attribute-enhanced-generation-2107.02968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-extrapolation-for-attribute-enhanced-generation-2107.02968"/></url>
<url><loc>https://scifaro.com/en/abs/keiki-towards-realistic-danmaku-generation-via-sequential-gans-2107.02991</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/keiki-towards-realistic-danmaku-generation-via-sequential-gans-2107.02991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/keiki-towards-realistic-danmaku-generation-via-sequential-gans-2107.02991"/></url>
<url><loc>https://scifaro.com/en/abs/harnessing-heterogeneity-learning-from-decomposed-feedback-in-bayesian-modeling-2107.03003</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harnessing-heterogeneity-learning-from-decomposed-feedback-in-bayesian-modeling-2107.03003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harnessing-heterogeneity-learning-from-decomposed-feedback-in-bayesian-modeling-2107.03003"/></url>
<url><loc>https://scifaro.com/en/abs/structured-denoising-diffusion-models-in-discrete-state-spaces-2107.03006</loc><lastmod>2023-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-denoising-diffusion-models-in-discrete-state-spaces-2107.03006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-denoising-diffusion-models-in-discrete-state-spaces-2107.03006"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-the-progress-of-deep-reinforcement-learning-in-the-real-world-aligning-domain-agnostic-and-domain-specific-research-2107.03015</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-the-progress-of-deep-reinforcement-learning-in-the-real-world-aligning-domain-agnostic-and-domain-specific-research-2107.03015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-the-progress-of-deep-reinforcement-learning-in-the-real-world-aligning-domain-agnostic-and-domain-specific-research-2107.03015"/></url>
<url><loc>https://scifaro.com/en/abs/exact-learning-augmented-naive-bayes-classifier-2107.03018</loc><lastmod>2022-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-learning-augmented-naive-bayes-classifier-2107.03018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-learning-augmented-naive-bayes-classifier-2107.03018"/></url>
<url><loc>https://scifaro.com/en/abs/reconstructing-test-labels-from-noisy-loss-functions-2107.03022</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconstructing-test-labels-from-noisy-loss-functions-2107.03022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconstructing-test-labels-from-noisy-loss-functions-2107.03022"/></url>
<url><loc>https://scifaro.com/en/abs/adapt-awesome-domain-adaptation-python-toolbox-2107.03049</loc><lastmod>2023-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapt-awesome-domain-adaptation-python-toolbox-2107.03049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapt-awesome-domain-adaptation-python-toolbox-2107.03049"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-partition-of-unity-networks-clustering-based-deep-approximation-2107.03066</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-partition-of-unity-networks-clustering-based-deep-approximation-2107.03066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-partition-of-unity-networks-clustering-based-deep-approximation-2107.03066"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-adaptive-algorithm-based-on-the-asymmetric-cost-of-error-functions-2107.03067</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-adaptive-algorithm-based-on-the-asymmetric-cost-of-error-functions-2107.03067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-adaptive-algorithm-based-on-the-asymmetric-cost-of-error-functions-2107.03067"/></url>
<url><loc>https://scifaro.com/en/abs/hub-and-spoke-logistics-network-design-for-urban-region-with-clustering-based-approach-2107.03080</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hub-and-spoke-logistics-network-design-for-urban-region-with-clustering-based-approach-2107.03080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hub-and-spoke-logistics-network-design-for-urban-region-with-clustering-based-approach-2107.03080"/></url>
<url><loc>https://scifaro.com/en/abs/risan-robust-instance-specific-abstention-network-2107.03090</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risan-robust-instance-specific-abstention-network-2107.03090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risan-robust-instance-specific-abstention-network-2107.03090"/></url>
<url><loc>https://scifaro.com/en/abs/intensity-prediction-of-tropical-cyclones-using-long-short-term-memory-network-2107.03187</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intensity-prediction-of-tropical-cyclones-using-long-short-term-memory-network-2107.03187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intensity-prediction-of-tropical-cyclones-using-long-short-term-memory-network-2107.03187"/></url>
<url><loc>https://scifaro.com/en/abs/bias-tolerant-fair-classification-2107.03207</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-tolerant-fair-classification-2107.03207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-tolerant-fair-classification-2107.03207"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-intrinsic-robustness-using-label-uncertainty-2107.03250</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-intrinsic-robustness-using-label-uncertainty-2107.03250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-intrinsic-robustness-using-label-uncertainty-2107.03250"/></url>
<url><loc>https://scifaro.com/en/abs/bandits-with-stochastic-experts-constant-regret-empirical-experts-and-episodes-2107.03263</loc><lastmod>2024-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandits-with-stochastic-experts-constant-regret-empirical-experts-and-episodes-2107.03263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandits-with-stochastic-experts-constant-regret-empirical-experts-and-episodes-2107.03263"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-with-confidence-on-unseen-distributions-2107.03315</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-with-confidence-on-unseen-distributions-2107.03315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-with-confidence-on-unseen-distributions-2107.03315"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-semi-nonnegative-matrix-factorization-a-skellam-based-framework-2107.03317</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-semi-nonnegative-matrix-factorization-a-skellam-based-framework-2107.03317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-semi-nonnegative-matrix-factorization-a-skellam-based-framework-2107.03317"/></url>
<url><loc>https://scifaro.com/en/abs/koala-a-kalman-optimization-algorithm-with-loss-adaptivity-2107.03331</loc><lastmod>2025-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/koala-a-kalman-optimization-algorithm-with-loss-adaptivity-2107.03331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/koala-a-kalman-optimization-algorithm-with-loss-adaptivity-2107.03331"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-based-continual-learning-for-fault-prediction-in-lithium-ion-batteries-2107.03336</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-based-continual-learning-for-fault-prediction-in-lithium-ion-batteries-2107.03336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-based-continual-learning-for-fault-prediction-in-lithium-ion-batteries-2107.03336"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-uncertainty-in-deep-neural-networks-2107.03342</loc><lastmod>2022-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-uncertainty-in-deep-neural-networks-2107.03342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-uncertainty-in-deep-neural-networks-2107.03342"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-performance-saturation-in-neural-marked-point-processes-architectures-and-loss-functions-2107.03354</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-performance-saturation-in-neural-marked-point-processes-architectures-and-loss-functions-2107.03354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-performance-saturation-in-neural-marked-point-processes-architectures-and-loss-functions-2107.03354"/></url>
<url><loc>https://scifaro.com/en/abs/m-fac-efficient-matrix-free-approximations-of-second-order-information-2107.03356</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/m-fac-efficient-matrix-free-approximations-of-second-order-information-2107.03356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/m-fac-efficient-matrix-free-approximations-of-second-order-information-2107.03356"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-large-language-models-trained-on-code-2107.03374</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-large-language-models-trained-on-code-2107.03374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-large-language-models-trained-on-code-2107.03374"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-architecture-pruning-for-transfer-learning-2107.03375</loc><lastmod>2021-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-architecture-pruning-for-transfer-learning-2107.03375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-architecture-pruning-for-transfer-learning-2107.03375"/></url>
<url><loc>https://scifaro.com/en/abs/recurrence-aware-long-term-cognitive-network-for-explainable-pattern-classification-2107.03423</loc><lastmod>2021-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrence-aware-long-term-cognitive-network-for-explainable-pattern-classification-2107.03423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrence-aware-long-term-cognitive-network-for-explainable-pattern-classification-2107.03423"/></url>
<url><loc>https://scifaro.com/en/abs/iowarain-a-statewide-rain-event-dataset-based-on-weather-radars-and-quantitative-precipitation-estimation-2107.03432</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iowarain-a-statewide-rain-event-dataset-based-on-weather-radars-and-quantitative-precipitation-estimation-2107.03432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iowarain-a-statewide-rain-event-dataset-based-on-weather-radars-and-quantitative-precipitation-estimation-2107.03432"/></url>
<url><loc>https://scifaro.com/en/abs/in-network-learning-distributed-training-and-inference-in-networks-2107.03433</loc><lastmod>2023-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-network-learning-distributed-training-and-inference-in-networks-2107.03433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-network-learning-distributed-training-and-inference-in-networks-2107.03433"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-random-access-memory-using-lattices-2107.03474</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-random-access-memory-using-lattices-2107.03474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-random-access-memory-using-lattices-2107.03474"/></url>
<url><loc>https://scifaro.com/en/abs/impossibility-results-for-fair-representations-2107.03483</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impossibility-results-for-fair-representations-2107.03483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impossibility-results-for-fair-representations-2107.03483"/></url>
<url><loc>https://scifaro.com/en/abs/csdi-conditional-score-based-diffusion-models-for-probabilistic-time-series-imputation-2107.03502</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/csdi-conditional-score-based-diffusion-models-for-probabilistic-time-series-imputation-2107.03502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/csdi-conditional-score-based-diffusion-models-for-probabilistic-time-series-imputation-2107.03502"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-disease-progress-with-imprecise-lab-test-results-2107.03620</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-disease-progress-with-imprecise-lab-test-results-2107.03620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-disease-progress-with-imprecise-lab-test-results-2107.03620"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-error-of-gan-from-the-discriminator-s-perspective-2107.03633</loc><lastmod>2026-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-error-of-gan-from-the-discriminator-s-perspective-2107.03633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-error-of-gan-from-the-discriminator-s-perspective-2107.03633"/></url>
<url><loc>https://scifaro.com/en/abs/sublinear-regret-for-learning-pomdps-2107.03635</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sublinear-regret-for-learning-pomdps-2107.03635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sublinear-regret-for-learning-pomdps-2107.03635"/></url>
<url><loc>https://scifaro.com/en/abs/proceedings-of-the-first-workshop-on-weakly-supervised-learning-weasul-2107.03690</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proceedings-of-the-first-workshop-on-weakly-supervised-learning-weasul-2107.03690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proceedings-of-the-first-workshop-on-weakly-supervised-learning-weasul-2107.03690"/></url>
<url><loc>https://scifaro.com/en/abs/digitizing-handwriting-with-a-sensor-pen-a-writer-independent-recognizer-2107.03704</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/digitizing-handwriting-with-a-sensor-pen-a-writer-independent-recognizer-2107.03704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/digitizing-handwriting-with-a-sensor-pen-a-writer-independent-recognizer-2107.03704"/></url>
<url><loc>https://scifaro.com/en/abs/bag-of-tricks-for-neural-architecture-search-2107.03719</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bag-of-tricks-for-neural-architecture-search-2107.03719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bag-of-tricks-for-neural-architecture-search-2107.03719"/></url>
<url><loc>https://scifaro.com/en/abs/the-three-ensemble-clustering-3ec-algorithm-for-pattern-discovery-in-unsupervised-learning-2107.03729</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-three-ensemble-clustering-3ec-algorithm-for-pattern-discovery-in-unsupervised-learning-2107.03729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-three-ensemble-clustering-3ec-algorithm-for-pattern-discovery-in-unsupervised-learning-2107.03729"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-time-series-forecasting-with-implicit-quantile-networks-2107.03743</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-time-series-forecasting-with-implicit-quantile-networks-2107.03743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-time-series-forecasting-with-implicit-quantile-networks-2107.03743"/></url>
<url><loc>https://scifaro.com/en/abs/analytically-tractable-hidden-states-inference-in-bayesian-neural-networks-2107.03759</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analytically-tractable-hidden-states-inference-in-bayesian-neural-networks-2107.03759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analytically-tractable-hidden-states-inference-in-bayesian-neural-networks-2107.03759"/></url>
<url><loc>https://scifaro.com/en/abs/deep-metric-learning-model-for-imbalanced-fault-diagnosis-2107.03786</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-metric-learning-model-for-imbalanced-fault-diagnosis-2107.03786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-metric-learning-model-for-imbalanced-fault-diagnosis-2107.03786"/></url>
<url><loc>https://scifaro.com/en/abs/output-randomization-a-novel-defense-for-both-white-box-and-black-box-adversarial-models-2107.03806</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/output-randomization-a-novel-defense-for-both-white-box-and-black-box-adversarial-models-2107.03806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/output-randomization-a-novel-defense-for-both-white-box-and-black-box-adversarial-models-2107.03806"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-renewable-energy-forecasting-in-greece-using-prophet-decomposition-and-tree-based-ensembles-2107.03825</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-renewable-energy-forecasting-in-greece-using-prophet-decomposition-and-tree-based-ensembles-2107.03825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-renewable-energy-forecasting-in-greece-using-prophet-decomposition-and-tree-based-ensembles-2107.03825"/></url>
<url><loc>https://scifaro.com/en/abs/imitation-by-predicting-observations-2107.03851</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitation-by-predicting-observations-2107.03851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitation-by-predicting-observations-2107.03851"/></url>
<url><loc>https://scifaro.com/en/abs/augmented-data-as-an-auxiliary-plug-in-towards-categorization-of-crowdsourced-heritage-data-2107.03852</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmented-data-as-an-auxiliary-plug-in-towards-categorization-of-crowdsourced-heritage-data-2107.03852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmented-data-as-an-auxiliary-plug-in-towards-categorization-of-crowdsourced-heritage-data-2107.03852"/></url>
<url><loc>https://scifaro.com/en/abs/ssse-efficiently-erasing-samples-from-trained-machine-learning-models-2107.03860</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ssse-efficiently-erasing-samples-from-trained-machine-learning-models-2107.03860"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ssse-efficiently-erasing-samples-from-trained-machine-learning-models-2107.03860"/></url>
<url><loc>https://scifaro.com/en/abs/manifold-hypothesis-in-data-analysis-double-geometrically-probabilistic-approach-to-manifold-dimension-estimation-2107.03903</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/manifold-hypothesis-in-data-analysis-double-geometrically-probabilistic-approach-to-manifold-dimension-estimation-2107.03903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/manifold-hypothesis-in-data-analysis-double-geometrically-probabilistic-approach-to-manifold-dimension-estimation-2107.03903"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-limits-of-unsupervised-domain-adaptation-via-data-poisoning-2107.03919</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-limits-of-unsupervised-domain-adaptation-via-data-poisoning-2107.03919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-limits-of-unsupervised-domain-adaptation-via-data-poisoning-2107.03919"/></url>
<url><loc>https://scifaro.com/en/abs/on-margins-and-derandomisation-in-pac-bayes-2107.03955</loc><lastmod>2022-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-margins-and-derandomisation-in-pac-bayes-2107.03955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-margins-and-derandomisation-in-pac-bayes-2107.03955"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-video-analytics-accuracy-via-real-time-automated-camera-parameter-tuning-2107.03964</loc><lastmod>2022-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-video-analytics-accuracy-via-real-time-automated-camera-parameter-tuning-2107.03964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-video-analytics-accuracy-via-real-time-automated-camera-parameter-tuning-2107.03964"/></url>
<url><loc>https://scifaro.com/en/abs/offline-meta-reinforcement-learning-with-online-self-supervision-2107.03974</loc><lastmod>2022-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-meta-reinforcement-learning-with-online-self-supervision-2107.03974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-meta-reinforcement-learning-with-online-self-supervision-2107.03974"/></url>
<url><loc>https://scifaro.com/en/abs/learning-vision-guided-quadrupedal-locomotion-end-to-end-with-cross-modal-transformers-2107.03996</loc><lastmod>2022-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-vision-guided-quadrupedal-locomotion-end-to-end-with-cross-modal-transformers-2107.03996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-vision-guided-quadrupedal-locomotion-end-to-end-with-cross-modal-transformers-2107.03996"/></url>
<url><loc>https://scifaro.com/en/abs/active-safety-envelopes-using-light-curtains-with-probabilistic-guarantees-2107.04000</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-safety-envelopes-using-light-curtains-with-probabilistic-guarantees-2107.04000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-safety-envelopes-using-light-curtains-with-probabilistic-guarantees-2107.04000"/></url>
<url><loc>https://scifaro.com/en/abs/rma-rapid-motor-adaptation-for-legged-robots-2107.04034</loc><lastmod>2021-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rma-rapid-motor-adaptation-for-legged-robots-2107.04034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rma-rapid-motor-adaptation-for-legged-robots-2107.04034"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-gaussian-processes-with-derivative-information-using-variational-inference-2107.04061</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-gaussian-processes-with-derivative-information-using-variational-inference-2107.04061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-gaussian-processes-with-derivative-information-using-variational-inference-2107.04061"/></url>
<url><loc>https://scifaro.com/en/abs/a-triangle-inequality-for-cosine-similarity-2107.04071</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-triangle-inequality-for-cosine-similarity-2107.04071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-triangle-inequality-for-cosine-similarity-2107.04071"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-spherical-k-means-2107.04074</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-spherical-k-means-2107.04074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-spherical-k-means-2107.04074"/></url>
<url><loc>https://scifaro.com/en/abs/robust-counterfactual-explanations-on-graph-neural-networks-2107.04086</loc><lastmod>2022-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-counterfactual-explanations-on-graph-neural-networks-2107.04086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-counterfactual-explanations-on-graph-neural-networks-2107.04086"/></url>
<url><loc>https://scifaro.com/en/abs/ensembles-of-randomized-nns-for-pattern-based-time-series-forecasting-2107.04091</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensembles-of-randomized-nns-for-pattern-based-time-series-forecasting-2107.04091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensembles-of-randomized-nns-for-pattern-based-time-series-forecasting-2107.04091"/></url>
<url><loc>https://scifaro.com/en/abs/fedlearn-algo-a-flexible-open-source-privacy-preserving-machine-learning-platform-2107.04129</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedlearn-algo-a-flexible-open-source-privacy-preserving-machine-learning-platform-2107.04129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedlearn-algo-a-flexible-open-source-privacy-preserving-machine-learning-platform-2107.04129"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-delegate-for-large-scale-vehicle-routing-2107.04139</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-delegate-for-large-scale-vehicle-routing-2107.04139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-delegate-for-large-scale-vehicle-routing-2107.04139"/></url>
<url><loc>https://scifaro.com/en/abs/does-form-follow-function-an-empirical-exploration-of-the-impact-of-deep-neural-network-architecture-design-on-hardware-specific-acceleration-2107.04144</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-form-follow-function-an-empirical-exploration-of-the-impact-of-deep-neural-network-architecture-design-on-hardware-specific-acceleration-2107.04144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-form-follow-function-an-empirical-exploration-of-the-impact-of-deep-neural-network-architecture-design-on-hardware-specific-acceleration-2107.04144"/></url>
<url><loc>https://scifaro.com/en/abs/mcmc-variational-inference-via-uncorrected-hamiltonian-annealing-2107.04150</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcmc-variational-inference-via-uncorrected-hamiltonian-annealing-2107.04150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcmc-variational-inference-via-uncorrected-hamiltonian-annealing-2107.04150"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-active-feature-acquisition-2107.04163</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-active-feature-acquisition-2107.04163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-active-feature-acquisition-2107.04163"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-structure-learning-from-data-that-contain-systematic-missing-values-2107.04184</loc><lastmod>2022-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-structure-learning-from-data-that-contain-systematic-missing-values-2107.04184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-structure-learning-from-data-that-contain-systematic-missing-values-2107.04184"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-federated-learning-over-non-iid-data-for-indoor-localization-2107.04189</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-federated-learning-over-non-iid-data-for-indoor-localization-2107.04189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-federated-learning-over-non-iid-data-for-indoor-localization-2107.04189"/></url>
<url><loc>https://scifaro.com/en/abs/structured-model-pruning-of-convolutional-networks-on-tensor-processing-units-2107.04191</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-model-pruning-of-convolutional-networks-on-tensor-processing-units-2107.04191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-model-pruning-of-convolutional-networks-on-tensor-processing-units-2107.04191"/></url>
<url><loc>https://scifaro.com/en/abs/rex-revisiting-budgeted-training-with-an-improved-schedule-2107.04197</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rex-revisiting-budgeted-training-with-an-improved-schedule-2107.04197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rex-revisiting-budgeted-training-with-an-improved-schedule-2107.04197"/></url>
<url><loc>https://scifaro.com/en/abs/safe-exploration-by-solving-early-terminated-mdp-2107.04200</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-exploration-by-solving-early-terminated-mdp-2107.04200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-exploration-by-solving-early-terminated-mdp-2107.04200"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-variance-of-the-fisher-information-for-deep-learning-2107.04205</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-variance-of-the-fisher-information-for-deep-learning-2107.04205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-variance-of-the-fisher-information-for-deep-learning-2107.04205"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-and-improving-model-moderator-collaboration-using-uncertainty-estimation-2107.04212</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-and-improving-model-moderator-collaboration-using-uncertainty-estimation-2107.04212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-and-improving-model-moderator-collaboration-using-uncertainty-estimation-2107.04212"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-dropout-discriminator-for-domain-adaptation-2107.04231</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-dropout-discriminator-for-domain-adaptation-2107.04231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-dropout-discriminator-for-domain-adaptation-2107.04231"/></url>
<url><loc>https://scifaro.com/en/abs/sensitivity-analysis-in-differentially-private-machine-learning-using-hybrid-automatic-differentiation-2107.04265</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensitivity-analysis-in-differentially-private-machine-learning-using-hybrid-automatic-differentiation-2107.04265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensitivity-analysis-in-differentially-private-machine-learning-using-hybrid-automatic-differentiation-2107.04265"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-training-of-neural-networks-with-langevin-dynamics-for-calibrated-predictive-uncertainty-2107.04296</loc><lastmod>2021-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-training-of-neural-networks-with-langevin-dynamics-for-calibrated-predictive-uncertainty-2107.04296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-training-of-neural-networks-with-langevin-dynamics-for-calibrated-predictive-uncertainty-2107.04296"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-surrogate-explanations-the-interplay-between-complexity-fidelity-and-coverage-2107.04309</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-surrogate-explanations-the-interplay-between-complexity-fidelity-and-coverage-2107.04309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-surrogate-explanations-the-interplay-between-complexity-fidelity-and-coverage-2107.04309"/></url>
<url><loc>https://scifaro.com/en/abs/autoencoder-driven-spiral-representation-learning-for-gravitational-wave-surrogate-modelling-2107.04312</loc><lastmod>2024-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoencoder-driven-spiral-representation-learning-for-gravitational-wave-surrogate-modelling-2107.04312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoencoder-driven-spiral-representation-learning-for-gravitational-wave-surrogate-modelling-2107.04312"/></url>
<url><loc>https://scifaro.com/en/abs/idrlnet-a-physics-informed-neural-network-library-2107.04320</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/idrlnet-a-physics-informed-neural-network-library-2107.04320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/idrlnet-a-physics-informed-neural-network-library-2107.04320"/></url>
<url><loc>https://scifaro.com/en/abs/attend2pack-bin-packing-through-deep-reinforcement-learning-with-attention-2107.04333</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attend2pack-bin-packing-through-deep-reinforcement-learning-with-attention-2107.04333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attend2pack-bin-packing-through-deep-reinforcement-learning-with-attention-2107.04333"/></url>
<url><loc>https://scifaro.com/en/abs/lithography-hotspot-detection-via-heterogeneous-federated-learning-with-local-adaptation-2107.04367</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lithography-hotspot-detection-via-heterogeneous-federated-learning-with-local-adaptation-2107.04367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lithography-hotspot-detection-via-heterogeneous-federated-learning-with-local-adaptation-2107.04367"/></url>
<url><loc>https://scifaro.com/en/abs/multi-headed-neural-ensemble-search-2107.04369</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-headed-neural-ensemble-search-2107.04369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-headed-neural-ensemble-search-2107.04369"/></url>
<url><loc>https://scifaro.com/en/abs/model-compression-as-constrained-optimization-with-application-to-neural-nets-part-v-combining-compressions-2107.04380</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-compression-as-constrained-optimization-with-application-to-neural-nets-part-v-combining-compressions-2107.04380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-compression-as-constrained-optimization-with-application-to-neural-nets-part-v-combining-compressions-2107.04380"/></url>
<url><loc>https://scifaro.com/en/abs/specialists-outperform-generalists-in-ensemble-classification-2107.04381</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/specialists-outperform-generalists-in-ensemble-classification-2107.04381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/specialists-outperform-generalists-in-ensemble-classification-2107.04381"/></url>
<url><loc>https://scifaro.com/en/abs/improving-model-robustness-with-latent-distribution-locally-and-globally-2107.04401</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-model-robustness-with-latent-distribution-locally-and-globally-2107.04401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-model-robustness-with-latent-distribution-locally-and-globally-2107.04401"/></url>
<url><loc>https://scifaro.com/en/abs/form2seq-a-framework-for-higher-order-form-structure-extraction-2107.04419</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/form2seq-a-framework-for-higher-order-form-structure-extraction-2107.04419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/form2seq-a-framework-for-higher-order-form-structure-extraction-2107.04419"/></url>
<url><loc>https://scifaro.com/en/abs/policy-gradient-methods-for-distortion-risk-measures-2107.04422</loc><lastmod>2024-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-gradient-methods-for-distortion-risk-measures-2107.04422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-gradient-methods-for-distortion-risk-measures-2107.04422"/></url>
<url><loc>https://scifaro.com/en/abs/multiaccurate-proxies-for-downstream-fairness-2107.04423</loc><lastmod>2022-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiaccurate-proxies-for-downstream-fairness-2107.04423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiaccurate-proxies-for-downstream-fairness-2107.04423"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-choose-an-explainability-method-towards-a-methodical-implementation-of-xai-in-practice-2107.04427</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-choose-an-explainability-method-towards-a-methodical-implementation-of-xai-in-practice-2107.04427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-choose-an-explainability-method-towards-a-methodical-implementation-of-xai-in-practice-2107.04427"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-detect-adversarial-examples-based-on-class-scores-2107.04435</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-detect-adversarial-examples-based-on-class-scores-2107.04435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-detect-adversarial-examples-based-on-class-scores-2107.04435"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-distributions-of-aggregation-layers-in-deep-neural-networks-2107.04458</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-distributions-of-aggregation-layers-in-deep-neural-networks-2107.04458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-distributions-of-aggregation-layers-in-deep-neural-networks-2107.04458"/></url>
<url><loc>https://scifaro.com/en/abs/adast-attentive-cross-domain-eeg-based-sleep-staging-framework-with-iterative-self-training-2107.04470</loc><lastmod>2022-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adast-attentive-cross-domain-eeg-based-sleep-staging-framework-with-iterative-self-training-2107.04470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adast-attentive-cross-domain-eeg-based-sleep-staging-framework-with-iterative-self-training-2107.04470"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-analysis-for-gradient-flows-in-the-training-of-artificial-neural-networks-with-relu-activation-2107.04479</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-analysis-for-gradient-flows-in-the-training-of-artificial-neural-networks-with-relu-activation-2107.04479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-analysis-for-gradient-flows-in-the-training-of-artificial-neural-networks-with-relu-activation-2107.04479"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-mixture-density-networks-learning-to-drive-safely-from-collision-data-2107.04485</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-mixture-density-networks-learning-to-drive-safely-from-collision-data-2107.04485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-mixture-density-networks-learning-to-drive-safely-from-collision-data-2107.04485"/></url>
<url><loc>https://scifaro.com/en/abs/arc-adversarially-robust-control-policies-for-autonomous-vehicles-2107.04487</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arc-adversarially-robust-control-policies-for-autonomous-vehicles-2107.04487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arc-adversarially-robust-control-policies-for-autonomous-vehicles-2107.04487"/></url>
<url><loc>https://scifaro.com/en/abs/offline-reinforcement-learning-with-uncertainty-for-treatment-strategies-in-sepsis-2107.04491</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-reinforcement-learning-with-uncertainty-for-treatment-strategies-in-sepsis-2107.04491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-reinforcement-learning-with-uncertainty-for-treatment-strategies-in-sepsis-2107.04491"/></url>
<url><loc>https://scifaro.com/en/abs/batch-inverse-variance-weighting-deep-heteroscedastic-regression-2107.04497</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-inverse-variance-weighting-deep-heteroscedastic-regression-2107.04497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-inverse-variance-weighting-deep-heteroscedastic-regression-2107.04497"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-gradient-based-algorithms-for-non-concave-bandit-optimization-2107.04518</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-gradient-based-algorithms-for-non-concave-bandit-optimization-2107.04518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-gradient-based-algorithms-for-non-concave-bandit-optimization-2107.04518"/></url>
<url><loc>https://scifaro.com/en/abs/online-adaptation-to-label-distribution-shift-2107.04520</loc><lastmod>2022-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-adaptation-to-label-distribution-shift-2107.04520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-adaptation-to-label-distribution-shift-2107.04520"/></url>
<url><loc>https://scifaro.com/en/abs/group-node-attention-for-community-evolution-prediction-2107.04522</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-node-attention-for-community-evolution-prediction-2107.04522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-node-attention-for-community-evolution-prediction-2107.04522"/></url>
<url><loc>https://scifaro.com/en/abs/universal-multilayer-network-exploration-by-random-walk-with-restart-2107.04565</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-multilayer-network-exploration-by-random-walk-with-restart-2107.04565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-multilayer-network-exploration-by-random-walk-with-restart-2107.04565"/></url>
<url><loc>https://scifaro.com/en/abs/multi-level-stress-assessment-from-ecg-in-a-virtual-reality-environment-using-multimodal-fusion-2107.04566</loc><lastmod>2021-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-level-stress-assessment-from-ecg-in-a-virtual-reality-environment-using-multimodal-fusion-2107.04566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-level-stress-assessment-from-ecg-in-a-virtual-reality-environment-using-multimodal-fusion-2107.04566"/></url>
<url><loc>https://scifaro.com/en/abs/ancer-anisotropic-certification-via-sample-wise-volume-maximization-2107.04570</loc><lastmod>2022-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ancer-anisotropic-certification-via-sample-wise-volume-maximization-2107.04570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ancer-anisotropic-certification-via-sample-wise-volume-maximization-2107.04570"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-convolutional-neural-network-that-is-invariant-to-time-rescaling-2107.04616</loc><lastmod>2022-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-convolutional-neural-network-that-is-invariant-to-time-rescaling-2107.04616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-convolutional-neural-network-that-is-invariant-to-time-rescaling-2107.04616"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-probabilistic-reward-machines-from-non-markovian-reward-processes-for-reinforcement-learning-2107.04633</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-probabilistic-reward-machines-from-non-markovian-reward-processes-for-reinforcement-learning-2107.04633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-probabilistic-reward-machines-from-non-markovian-reward-processes-for-reinforcement-learning-2107.04633"/></url>
<url><loc>https://scifaro.com/en/abs/training-over-parameterized-models-with-non-decomposable-objectives-2107.04641</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-over-parameterized-models-with-non-decomposable-objectives-2107.04641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-over-parameterized-models-with-non-decomposable-objectives-2107.04641"/></url>
<url><loc>https://scifaro.com/en/abs/accuracy-on-the-line-on-the-strong-correlation-between-out-of-distribution-and-in-distribution-generalization-2107.04649</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accuracy-on-the-line-on-the-strong-correlation-between-out-of-distribution-and-in-distribution-generalization-2107.04649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accuracy-on-the-line-on-the-strong-correlation-between-out-of-distribution-and-in-distribution-generalization-2107.04649"/></url>
<url><loc>https://scifaro.com/en/abs/the-effects-of-invertibility-on-the-representational-complexity-of-encoders-in-variational-autoencoders-2107.04652</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effects-of-invertibility-on-the-representational-complexity-of-encoders-in-variational-autoencoders-2107.04652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effects-of-invertibility-on-the-representational-complexity-of-encoders-in-variational-autoencoders-2107.04652"/></url>
<url><loc>https://scifaro.com/en/abs/h-older-bounds-for-sensitivity-analysis-in-causal-reasoning-2107.04661</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/h-older-bounds-for-sensitivity-analysis-in-causal-reasoning-2107.04661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/h-older-bounds-for-sensitivity-analysis-in-causal-reasoning-2107.04661"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-and-benchmarking-study-for-counterfactual-generating-methods-on-tabular-data-2107.04680</loc><lastmod>2022-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-and-benchmarking-study-for-counterfactual-generating-methods-on-tabular-data-2107.04680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-and-benchmarking-study-for-counterfactual-generating-methods-on-tabular-data-2107.04680"/></url>
<url><loc>https://scifaro.com/en/abs/lifelong-teacher-student-network-learning-2107.04689</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifelong-teacher-student-network-learning-2107.04689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifelong-teacher-student-network-learning-2107.04689"/></url>
<url><loc>https://scifaro.com/en/abs/lifelong-mixture-of-variational-autoencoders-2107.04694</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifelong-mixture-of-variational-autoencoders-2107.04694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifelong-mixture-of-variational-autoencoders-2107.04694"/></url>
<url><loc>https://scifaro.com/en/abs/l2m-practical-posterior-laplace-approximation-with-optimization-driven-second-moment-estimation-2107.04695</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l2m-practical-posterior-laplace-approximation-with-optimization-driven-second-moment-estimation-2107.04695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l2m-practical-posterior-laplace-approximation-with-optimization-driven-second-moment-estimation-2107.04695"/></url>
<url><loc>https://scifaro.com/en/abs/infovaegan-learning-joint-interpretable-representations-by-information-maximization-and-maximum-likelihood-2107.04705</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infovaegan-learning-joint-interpretable-representations-by-information-maximization-and-maximum-likelihood-2107.04705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infovaegan-learning-joint-interpretable-representations-by-information-maximization-and-maximum-likelihood-2107.04705"/></url>
<url><loc>https://scifaro.com/en/abs/automated-graph-learning-via-population-based-self-tuning-gcn-2107.04713</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-graph-learning-via-population-based-self-tuning-gcn-2107.04713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-graph-learning-via-population-based-self-tuning-gcn-2107.04713"/></url>
<url><loc>https://scifaro.com/en/abs/a-topological-framework-to-improve-analysis-of-machine-learning-model-performance-2107.04714</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-topological-framework-to-improve-analysis-of-machine-learning-model-performance-2107.04714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-topological-framework-to-improve-analysis-of-machine-learning-model-performance-2107.04714"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-imitation-learning-with-copulas-2107.04750</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-imitation-learning-with-copulas-2107.04750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-imitation-learning-with-copulas-2107.04750"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-low-pass-filtering-graph-convolutional-networks-with-automatic-filtering-2107.04755</loc><lastmod>2022-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-low-pass-filtering-graph-convolutional-networks-with-automatic-filtering-2107.04755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-low-pass-filtering-graph-convolutional-networks-with-automatic-filtering-2107.04755"/></url>
<url><loc>https://scifaro.com/en/abs/hack-the-box-fooling-deep-learning-abstraction-based-monitors-2107.04764</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hack-the-box-fooling-deep-learning-abstraction-based-monitors-2107.04764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hack-the-box-fooling-deep-learning-abstraction-based-monitors-2107.04764"/></url>
<url><loc>https://scifaro.com/en/abs/ls3-latent-space-safe-sets-for-long-horizon-visuomotor-control-of-sparse-reward-iterative-tasks-2107.04775</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ls3-latent-space-safe-sets-for-long-horizon-visuomotor-control-of-sparse-reward-iterative-tasks-2107.04775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ls3-latent-space-safe-sets-for-long-horizon-visuomotor-control-of-sparse-reward-iterative-tasks-2107.04775"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-with-multi-head-co-training-2107.04795</loc><lastmod>2024-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-with-multi-head-co-training-2107.04795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-with-multi-head-co-training-2107.04795"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-layers-susceptible-to-adversarial-attacks-2107.04827</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-layers-susceptible-to-adversarial-attacks-2107.04827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-layers-susceptible-to-adversarial-attacks-2107.04827"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-mean-estimation-by-marginalized-corrupted-distributions-2107.04855</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-mean-estimation-by-marginalized-corrupted-distributions-2107.04855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-mean-estimation-by-marginalized-corrupted-distributions-2107.04855"/></url>
<url><loc>https://scifaro.com/en/abs/homrs-high-order-metamorphic-relations-selector-for-deep-neural-networks-2107.04863</loc><lastmod>2021-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/homrs-high-order-metamorphic-relations-selector-for-deep-neural-networks-2107.04863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/homrs-high-order-metamorphic-relations-selector-for-deep-neural-networks-2107.04863"/></url>
<url><loc>https://scifaro.com/en/abs/improving-inductive-link-prediction-using-hyper-relational-facts-2107.04894</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-inductive-link-prediction-using-hyper-relational-facts-2107.04894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-inductive-link-prediction-using-hyper-relational-facts-2107.04894"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-multimodal-system-for-precision-agriculture-using-iot-and-machine-learning-2107.04895</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-multimodal-system-for-precision-agriculture-using-iot-and-machine-learning-2107.04895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-multimodal-system-for-precision-agriculture-using-iot-and-machine-learning-2107.04895"/></url>
<url><loc>https://scifaro.com/en/abs/learning-concept-lengths-accelerates-concept-learning-in-alc-2107.04911</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-concept-lengths-accelerates-concept-learning-in-alc-2107.04911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-concept-lengths-accelerates-concept-learning-in-alc-2107.04911"/></url>
<url><loc>https://scifaro.com/en/abs/self-service-data-classification-using-interactive-visualization-and-interpretable-machine-learning-2107.04971</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-service-data-classification-using-interactive-visualization-and-interpretable-machine-learning-2107.04971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-service-data-classification-using-interactive-visualization-and-interpretable-machine-learning-2107.04971"/></url>
<url><loc>https://scifaro.com/en/abs/non-linear-visual-knowledge-discovery-with-elliptic-paired-coordinates-2107.04974</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-linear-visual-knowledge-discovery-with-elliptic-paired-coordinates-2107.04974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-linear-visual-knowledge-discovery-with-elliptic-paired-coordinates-2107.04974"/></url>
<url><loc>https://scifaro.com/en/abs/str-godes-spatial-temporal-ridership-graph-odes-for-metro-ridership-prediction-2107.04980</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/str-godes-spatial-temporal-ridership-graph-odes-for-metro-ridership-prediction-2107.04980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/str-godes-spatial-temporal-ridership-graph-odes-for-metro-ridership-prediction-2107.04980"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-distribution-dynamics-detection-rl-relevant-benchmarks-and-results-2107.04982</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-distribution-dynamics-detection-rl-relevant-benchmarks-and-results-2107.04982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-distribution-dynamics-detection-rl-relevant-benchmarks-and-results-2107.04982"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-domain-adaptation-for-low-resource-geospatial-machine-learning-2107.04983</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-domain-adaptation-for-low-resource-geospatial-machine-learning-2107.04983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-domain-adaptation-for-low-resource-geospatial-machine-learning-2107.04983"/></url>
<url><loc>https://scifaro.com/en/abs/coordinate-wise-control-variates-for-deep-policy-gradients-2107.04987</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coordinate-wise-control-variates-for-deep-policy-gradients-2107.04987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coordinate-wise-control-variates-for-deep-policy-gradients-2107.04987"/></url>
<url><loc>https://scifaro.com/en/abs/dual-optimization-for-kolmogorov-model-learning-using-enhanced-gradient-descent-2107.05011</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-optimization-for-kolmogorov-model-learning-using-enhanced-gradient-descent-2107.05011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-optimization-for-kolmogorov-model-learning-using-enhanced-gradient-descent-2107.05011"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-crowds-with-sparse-and-imbalanced-annotations-2107.05039</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-crowds-with-sparse-and-imbalanced-annotations-2107.05039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-crowds-with-sparse-and-imbalanced-annotations-2107.05039"/></url>
<url><loc>https://scifaro.com/en/abs/positive-unlabeled-classification-under-class-prior-shift-a-prior-invariant-approach-based-on-density-ratio-estimation-2107.05045</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/positive-unlabeled-classification-under-class-prior-shift-a-prior-invariant-approach-based-on-density-ratio-estimation-2107.05045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/positive-unlabeled-classification-under-class-prior-shift-a-prior-invariant-approach-based-on-density-ratio-estimation-2107.05045"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-based-cvd-virtual-metrology-in-mass-produced-semiconductor-process-2107.05071</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-based-cvd-virtual-metrology-in-mass-produced-semiconductor-process-2107.05071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-based-cvd-virtual-metrology-in-mass-produced-semiconductor-process-2107.05071"/></url>
<url><loc>https://scifaro.com/en/abs/sgd-the-role-of-implicit-regularization-batch-size-and-multiple-epochs-2107.05074</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgd-the-role-of-implicit-regularization-batch-size-and-multiple-epochs-2107.05074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgd-the-role-of-implicit-regularization-batch-size-and-multiple-epochs-2107.05074"/></url>
<url><loc>https://scifaro.com/en/abs/remote-blood-oxygen-estimation-from-videos-using-neural-networks-2107.05087</loc><lastmod>2025-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/remote-blood-oxygen-estimation-from-videos-using-neural-networks-2107.05087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/remote-blood-oxygen-estimation-from-videos-using-neural-networks-2107.05087"/></url>
<url><loc>https://scifaro.com/en/abs/brainnnexplainer-an-interpretable-graph-neural-network-framework-for-brain-network-based-disease-analysis-2107.05097</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/brainnnexplainer-an-interpretable-graph-neural-network-framework-for-brain-network-based-disease-analysis-2107.05097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/brainnnexplainer-an-interpretable-graph-neural-network-framework-for-brain-network-based-disease-analysis-2107.05097"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-challenges-and-opportunities-in-the-african-agricultural-sector-a-general-perspective-2107.05101</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-challenges-and-opportunities-in-the-african-agricultural-sector-a-general-perspective-2107.05101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-challenges-and-opportunities-in-the-african-agricultural-sector-a-general-perspective-2107.05101"/></url>
<url><loc>https://scifaro.com/en/abs/lexsubcon-integrating-knowledge-from-lexical-resources-into-contextual-embeddings-for-lexical-substitution-2107.05132</loc><lastmod>2022-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lexsubcon-integrating-knowledge-from-lexical-resources-into-contextual-embeddings-for-lexical-substitution-2107.05132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lexsubcon-integrating-knowledge-from-lexical-resources-into-contextual-embeddings-for-lexical-substitution-2107.05132"/></url>
<url><loc>https://scifaro.com/en/abs/dual-training-of-energy-based-models-with-overparametrized-shallow-neural-networks-2107.05134</loc><lastmod>2022-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-training-of-energy-based-models-with-overparametrized-shallow-neural-networks-2107.05134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-training-of-energy-based-models-with-overparametrized-shallow-neural-networks-2107.05134"/></url>
<url><loc>https://scifaro.com/en/abs/moocrep-a-unified-pre-trained-embedding-of-mooc-entities-2107.05154</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moocrep-a-unified-pre-trained-embedding-of-mooc-entities-2107.05154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moocrep-a-unified-pre-trained-embedding-of-mooc-entities-2107.05154"/></url>
<url><loc>https://scifaro.com/en/abs/stateful-detection-of-model-extraction-attacks-2107.05166</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stateful-detection-of-model-extraction-attacks-2107.05166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stateful-detection-of-model-extraction-attacks-2107.05166"/></url>
<url><loc>https://scifaro.com/en/abs/mugrep-a-multi-task-hierarchical-graph-representation-learning-framework-for-real-estate-appraisal-2107.05180</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mugrep-a-multi-task-hierarchical-graph-representation-learning-framework-for-real-estate-appraisal-2107.05180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mugrep-a-multi-task-hierarchical-graph-representation-learning-framework-for-real-estate-appraisal-2107.05180"/></url>
<url><loc>https://scifaro.com/en/abs/polynomial-time-reinforcement-learning-in-factored-state-mdps-with-linear-value-functions-2107.05187</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polynomial-time-reinforcement-learning-in-factored-state-mdps-with-linear-value-functions-2107.05187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polynomial-time-reinforcement-learning-in-factored-state-mdps-with-linear-value-functions-2107.05187"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-reward-free-approach-to-constrained-reinforcement-learning-2107.05216</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-reward-free-approach-to-constrained-reinforcement-learning-2107.05216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-reward-free-approach-to-constrained-reinforcement-learning-2107.05216"/></url>
<url><loc>https://scifaro.com/en/abs/cautious-actor-critic-2107.05217</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cautious-actor-critic-2107.05217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cautious-actor-critic-2107.05217"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-sepsis-in-multi-site-multi-national-intensive-care-cohorts-using-deep-learning-2107.05230</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-sepsis-in-multi-site-multi-national-intensive-care-cohorts-using-deep-learning-2107.05230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-sepsis-in-multi-site-multi-national-intensive-care-cohorts-using-deep-learning-2107.05230"/></url>
<url><loc>https://scifaro.com/en/abs/prb-gan-a-probabilistic-framework-for-gan-modelling-2107.05241</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prb-gan-a-probabilistic-framework-for-gan-modelling-2107.05241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prb-gan-a-probabilistic-framework-for-gan-modelling-2107.05241"/></url>
<url><loc>https://scifaro.com/en/abs/the-brownian-motion-in-the-transformer-model-2107.05264</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-brownian-motion-in-the-transformer-model-2107.05264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-brownian-motion-in-the-transformer-model-2107.05264"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-time-bandits-with-sampling-costs-2107.05289</loc><lastmod>2023-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-time-bandits-with-sampling-costs-2107.05289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-time-bandits-with-sampling-costs-2107.05289"/></url>
<url><loc>https://scifaro.com/en/abs/hemp-high-order-entropy-minimization-for-neural-network-compression-2107.05298</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hemp-high-order-entropy-minimization-for-neural-network-compression-2107.05298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hemp-high-order-entropy-minimization-for-neural-network-compression-2107.05298"/></url>
<url><loc>https://scifaro.com/en/abs/learning-interaction-rules-from-multi-animal-trajectories-via-augmented-behavioral-models-2107.05326</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-interaction-rules-from-multi-animal-trajectories-via-augmented-behavioral-models-2107.05326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-interaction-rules-from-multi-animal-trajectories-via-augmented-behavioral-models-2107.05326"/></url>
<url><loc>https://scifaro.com/en/abs/structured-directional-pruning-via-perturbation-orthogonal-projection-2107.05328</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-directional-pruning-via-perturbation-orthogonal-projection-2107.05328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-directional-pruning-via-perturbation-orthogonal-projection-2107.05328"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-personalized-federated-learning-2107.05330</loc><lastmod>2023-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-personalized-federated-learning-2107.05330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-personalized-federated-learning-2107.05330"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-regression-with-shallow-overparameterized-neural-networks-trained-by-gd-with-early-stopping-2107.05341</loc><lastmod>2023-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-regression-with-shallow-overparameterized-neural-networks-trained-by-gd-with-early-stopping-2107.05341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-regression-with-shallow-overparameterized-neural-networks-trained-by-gd-with-early-stopping-2107.05341"/></url>
<url><loc>https://scifaro.com/en/abs/fine-grained-autoaugmentation-for-multi-label-classification-2107.05384</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fine-grained-autoaugmentation-for-multi-label-classification-2107.05384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fine-grained-autoaugmentation-for-multi-label-classification-2107.05384"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-selection-why-we-should-pay-more-attention-to-it-2107.05393</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-selection-why-we-should-pay-more-attention-to-it-2107.05393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-selection-why-we-should-pay-more-attention-to-it-2107.05393"/></url>
<url><loc>https://scifaro.com/en/abs/learning-expected-emphatic-traces-for-deep-rl-2107.05405</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-expected-emphatic-traces-for-deep-rl-2107.05405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-expected-emphatic-traces-for-deep-rl-2107.05405"/></url>
<url><loc>https://scifaro.com/en/abs/pondernet-learning-to-ponder-2107.05407</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pondernet-learning-to-ponder-2107.05407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pondernet-learning-to-ponder-2107.05407"/></url>
<url><loc>https://scifaro.com/en/abs/coberl-contrastive-bert-for-reinforcement-learning-2107.05431</loc><lastmod>2022-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coberl-contrastive-bert-for-reinforcement-learning-2107.05431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coberl-contrastive-bert-for-reinforcement-learning-2107.05431"/></url>
<url><loc>https://scifaro.com/en/abs/source-free-adaptation-to-measurement-shift-via-bottom-up-feature-restoration-2107.05446</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/source-free-adaptation-to-measurement-shift-via-bottom-up-feature-restoration-2107.05446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/source-free-adaptation-to-measurement-shift-via-bottom-up-feature-restoration-2107.05446"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-algorithm-of-deep-learning-with-differential-privacy-2107.05457</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-algorithm-of-deep-learning-with-differential-privacy-2107.05457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-algorithm-of-deep-learning-with-differential-privacy-2107.05457"/></url>
<url><loc>https://scifaro.com/en/abs/automated-label-generation-for-time-series-classification-with-representation-learning-reduction-of-label-cost-for-training-2107.05458</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-label-generation-for-time-series-classification-with-representation-learning-reduction-of-label-cost-for-training-2107.05458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-label-generation-for-time-series-classification-with-representation-learning-reduction-of-label-cost-for-training-2107.05458"/></url>
<url><loc>https://scifaro.com/en/abs/learning-and-adaptation-for-millimeter-wave-beam-tracking-and-training-a-dual-timescale-variational-framework-2107.05466</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-and-adaptation-for-millimeter-wave-beam-tracking-and-training-a-dual-timescale-variational-framework-2107.05466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-and-adaptation-for-millimeter-wave-beam-tracking-and-training-a-dual-timescale-variational-framework-2107.05466"/></url>
<url><loc>https://scifaro.com/en/abs/behavior-constraining-in-weight-space-for-offline-reinforcement-learning-2107.05479</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/behavior-constraining-in-weight-space-for-offline-reinforcement-learning-2107.05479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/behavior-constraining-in-weight-space-for-offline-reinforcement-learning-2107.05479"/></url>
<url><loc>https://scifaro.com/en/abs/prequential-mdl-for-causal-structure-learning-with-neural-networks-2107.05481</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prequential-mdl-for-causal-structure-learning-with-neural-networks-2107.05481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prequential-mdl-for-causal-structure-learning-with-neural-networks-2107.05481"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-seven-methods-for-state-of-health-time-series-prediction-for-the-lithium-ion-battery-packs-of-forklifts-2107.05489</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-seven-methods-for-state-of-health-time-series-prediction-for-the-lithium-ion-battery-packs-of-forklifts-2107.05489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-seven-methods-for-state-of-health-time-series-prediction-for-the-lithium-ion-battery-packs-of-forklifts-2107.05489"/></url>
<url><loc>https://scifaro.com/en/abs/robin-a-robust-optical-binary-neural-network-accelerator-2107.05530</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robin-a-robust-optical-binary-neural-network-accelerator-2107.05530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robin-a-robust-optical-binary-neural-network-accelerator-2107.05530"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-pinn-loss-functions-2107.05544</loc><lastmod>2022-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-pinn-loss-functions-2107.05544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-pinn-loss-functions-2107.05544"/></url>
<url><loc>https://scifaro.com/en/abs/towards-better-laplacian-representation-in-reinforcement-learning-with-generalized-graph-drawing-2107.05545</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-better-laplacian-representation-in-reinforcement-learning-with-generalized-graph-drawing-2107.05545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-better-laplacian-representation-in-reinforcement-learning-with-generalized-graph-drawing-2107.05545"/></url>
<url><loc>https://scifaro.com/en/abs/latte-lstm-self-attention-based-anomaly-detection-in-embedded-automotive-platforms-2107.05561</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latte-lstm-self-attention-based-anomaly-detection-in-embedded-automotive-platforms-2107.05561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latte-lstm-self-attention-based-anomaly-detection-in-embedded-automotive-platforms-2107.05561"/></url>
<url><loc>https://scifaro.com/en/abs/forster-decomposition-and-learning-halfspaces-with-noise-2107.05582</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forster-decomposition-and-learning-halfspaces-with-noise-2107.05582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forster-decomposition-and-learning-halfspaces-with-noise-2107.05582"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-stochastic-optimization-new-results-in-convex-and-non-convex-settings-2107.05585</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-stochastic-optimization-new-results-in-convex-and-non-convex-settings-2107.05585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-stochastic-optimization-new-results-in-convex-and-non-convex-settings-2107.05585"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-least-squares-for-large-scale-machine-learning-using-stochastic-jacobian-estimates-2107.05598</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-least-squares-for-large-scale-machine-learning-using-stochastic-jacobian-estimates-2107.05598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-least-squares-for-large-scale-machine-learning-using-stochastic-jacobian-estimates-2107.05598"/></url>
<url><loc>https://scifaro.com/en/abs/active-divergence-with-generative-deep-learning-a-survey-and-taxonomy-2107.05599</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-divergence-with-generative-deep-learning-a-survey-and-taxonomy-2107.05599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-divergence-with-generative-deep-learning-a-survey-and-taxonomy-2107.05599"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-neural-dynamic-policies-2107.05627</loc><lastmod>2021-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-neural-dynamic-policies-2107.05627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-neural-dynamic-policies-2107.05627"/></url>
<url><loc>https://scifaro.com/en/abs/stress-classification-and-personalization-getting-the-most-out-of-the-least-2107.05666</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stress-classification-and-personalization-getting-the-most-out-of-the-least-2107.05666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stress-classification-and-personalization-getting-the-most-out-of-the-least-2107.05666"/></url>
<url><loc>https://scifaro.com/en/abs/hidden-convexity-of-wasserstein-gans-interpretable-generative-models-with-closed-form-solutions-2107.05680</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hidden-convexity-of-wasserstein-gans-interpretable-generative-models-with-closed-form-solutions-2107.05680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hidden-convexity-of-wasserstein-gans-interpretable-generative-models-with-closed-form-solutions-2107.05680"/></url>
<url><loc>https://scifaro.com/en/abs/least-squares-linear-dilation-erosion-regressor-trained-using-a-convex-concave-procedure-2107.05682</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/least-squares-linear-dilation-erosion-regressor-trained-using-a-convex-concave-procedure-2107.05682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/least-squares-linear-dilation-erosion-regressor-trained-using-a-convex-concave-procedure-2107.05682"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-pretrained-representations-for-the-ood-generalization-of-reinforcement-learning-agents-2107.05686</loc><lastmod>2022-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-pretrained-representations-for-the-ood-generalization-of-reinforcement-learning-agents-2107.05686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-pretrained-representations-for-the-ood-generalization-of-reinforcement-learning-agents-2107.05686"/></url>
<url><loc>https://scifaro.com/en/abs/a-closer-look-at-the-adversarial-robustness-of-information-bottleneck-models-2107.05712</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-closer-look-at-the-adversarial-robustness-of-information-bottleneck-models-2107.05712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-closer-look-at-the-adversarial-robustness-of-information-bottleneck-models-2107.05712"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-to-misspecification-in-contextual-bandits-2107.05745</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-to-misspecification-in-contextual-bandits-2107.05745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-to-misspecification-in-contextual-bandits-2107.05745"/></url>
<url><loc>https://scifaro.com/en/abs/softhebb-bayesian-inference-in-unsupervised-hebbian-soft-winner-take-all-networks-2107.05747</loc><lastmod>2023-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/softhebb-bayesian-inference-in-unsupervised-hebbian-soft-winner-take-all-networks-2107.05747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/softhebb-bayesian-inference-in-unsupervised-hebbian-soft-winner-take-all-networks-2107.05747"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-continual-learning-2107.05757</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-continual-learning-2107.05757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-continual-learning-2107.05757"/></url>
<url><loc>https://scifaro.com/en/abs/strategic-instrumental-variable-regression-recovering-causal-relationships-from-strategic-responses-2107.05762</loc><lastmod>2022-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strategic-instrumental-variable-regression-recovering-causal-relationships-from-strategic-responses-2107.05762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strategic-instrumental-variable-regression-recovering-causal-relationships-from-strategic-responses-2107.05762"/></url>
<url><loc>https://scifaro.com/en/abs/combiner-full-attention-transformer-with-sparse-computation-cost-2107.05768</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combiner-full-attention-transformer-with-sparse-computation-cost-2107.05768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combiner-full-attention-transformer-with-sparse-computation-cost-2107.05768"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-low-rank-neural-network-compression-2107.05787</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-low-rank-neural-network-compression-2107.05787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-low-rank-neural-network-compression-2107.05787"/></url>
<url><loc>https://scifaro.com/en/abs/cautious-policy-programming-exploiting-kl-regularization-in-monotonic-policy-improvement-for-reinforcement-learning-2107.05798</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cautious-policy-programming-exploiting-kl-regularization-in-monotonic-policy-improvement-for-reinforcement-learning-2107.05798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cautious-policy-programming-exploiting-kl-regularization-in-monotonic-policy-improvement-for-reinforcement-learning-2107.05798"/></url>
<url><loc>https://scifaro.com/en/abs/how-many-degrees-of-freedom-do-we-need-to-train-deep-networks-a-loss-landscape-perspective-2107.05802</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-many-degrees-of-freedom-do-we-need-to-train-deep-networks-a-loss-landscape-perspective-2107.05802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-many-degrees-of-freedom-do-we-need-to-train-deep-networks-a-loss-landscape-perspective-2107.05802"/></url>
<url><loc>https://scifaro.com/en/abs/altersgd-finding-flat-minima-for-continual-learning-by-alternative-training-2107.05804</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/altersgd-finding-flat-minima-for-continual-learning-by-alternative-training-2107.05804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/altersgd-finding-flat-minima-for-continual-learning-by-alternative-training-2107.05804"/></url>
<url><loc>https://scifaro.com/en/abs/a-hierarchical-bayesian-model-for-inverse-rl-in-partially-controlled-environments-2107.05818</loc><lastmod>2023-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hierarchical-bayesian-model-for-inverse-rl-in-partially-controlled-environments-2107.05818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hierarchical-bayesian-model-for-inverse-rl-in-partially-controlled-environments-2107.05818"/></url>
<url><loc>https://scifaro.com/en/abs/automated-learning-rate-scheduler-for-large-batch-training-2107.05855</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-learning-rate-scheduler-for-large-batch-training-2107.05855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-learning-rate-scheduler-for-large-batch-training-2107.05855"/></url>
<url><loc>https://scifaro.com/en/abs/auto-iv-counterfactual-prediction-via-automatic-instrumental-variable-decomposition-2107.05884</loc><lastmod>2022-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-iv-counterfactual-prediction-via-automatic-instrumental-variable-decomposition-2107.05884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-iv-counterfactual-prediction-via-automatic-instrumental-variable-decomposition-2107.05884"/></url>
<url><loc>https://scifaro.com/en/abs/model-transferability-with-responsive-decision-subjects-2107.05911</loc><lastmod>2023-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-transferability-with-responsive-decision-subjects-2107.05911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-transferability-with-responsive-decision-subjects-2107.05911"/></url>
<url><loc>https://scifaro.com/en/abs/can-less-be-more-when-increasing-to-balancing-label-noise-rates-considered-beneficial-2107.05913</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-less-be-more-when-increasing-to-balancing-label-noise-rates-considered-beneficial-2107.05913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-less-be-more-when-increasing-to-balancing-label-noise-rates-considered-beneficial-2107.05913"/></url>
<url><loc>https://scifaro.com/en/abs/towards-representation-identical-privacy-preserving-graph-neural-network-via-split-learning-2107.05917</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-representation-identical-privacy-preserving-graph-neural-network-via-split-learning-2107.05917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-representation-identical-privacy-preserving-graph-neural-network-via-split-learning-2107.05917"/></url>
<url><loc>https://scifaro.com/en/abs/multi-scale-label-relation-learning-for-multi-label-classification-using-1-dimensional-convolutional-neural-networks-2107.05941</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-scale-label-relation-learning-for-multi-label-classification-using-1-dimensional-convolutional-neural-networks-2107.05941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-scale-label-relation-learning-for-multi-label-classification-using-1-dimensional-convolutional-neural-networks-2107.05941"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-based-representation-learning-through-output-translation-and-its-application-to-remote-sensing-images-2107.05948</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-based-representation-learning-through-output-translation-and-its-application-to-remote-sensing-images-2107.05948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-based-representation-learning-through-output-translation-and-its-application-to-remote-sensing-images-2107.05948"/></url>
<url><loc>https://scifaro.com/en/abs/divine-diverse-influential-training-points-for-data-visualization-and-model-refinement-2107.05978</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/divine-diverse-influential-training-points-for-data-visualization-and-model-refinement-2107.05978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/divine-diverse-influential-training-points-for-data-visualization-and-model-refinement-2107.05978"/></url>
<url><loc>https://scifaro.com/en/abs/emotion-recognition-for-healthcare-surveillance-systems-using-neural-networks-a-survey-2107.05989</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emotion-recognition-for-healthcare-surveillance-systems-using-neural-networks-a-survey-2107.05989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emotion-recognition-for-healthcare-surveillance-systems-using-neural-networks-a-survey-2107.05989"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-axiomatic-explanations-of-deep-alzheimer-s-diagnosis-from-heterogeneous-data-2107.05997</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-axiomatic-explanations-of-deep-alzheimer-s-diagnosis-from-heterogeneous-data-2107.05997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-axiomatic-explanations-of-deep-alzheimer-s-diagnosis-from-heterogeneous-data-2107.05997"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-generative-artificial-intelligence-system-to-decipher-species-coexistence-patterns-2107.06020</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-generative-artificial-intelligence-system-to-decipher-species-coexistence-patterns-2107.06020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-generative-artificial-intelligence-system-to-decipher-species-coexistence-patterns-2107.06020"/></url>
<url><loc>https://scifaro.com/en/abs/autoscore-imbalance-an-interpretable-machine-learning-tool-for-development-of-clinical-scores-with-rare-events-data-2107.06039</loc><lastmod>2024-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoscore-imbalance-an-interpretable-machine-learning-tool-for-development-of-clinical-scores-with-rare-events-data-2107.06039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoscore-imbalance-an-interpretable-machine-learning-tool-for-development-of-clinical-scores-with-rare-events-data-2107.06039"/></url>
<url><loc>https://scifaro.com/en/abs/a-graph-data-augmentation-strategy-with-entropy-preservation-2107.06048</loc><lastmod>2022-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-graph-data-augmentation-strategy-with-entropy-preservation-2107.06048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-graph-data-augmentation-strategy-with-entropy-preservation-2107.06048"/></url>
<url><loc>https://scifaro.com/en/abs/fast-slow-streamflow-model-using-mass-conserving-lstm-2107.06057</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-slow-streamflow-model-using-mass-conserving-lstm-2107.06057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-slow-streamflow-model-using-mass-conserving-lstm-2107.06057"/></url>
<url><loc>https://scifaro.com/en/abs/model-of-the-weak-reset-process-in-hfox-resistive-memory-for-deep-learning-frameworks-2107.06064</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-of-the-weak-reset-process-in-hfox-resistive-memory-for-deep-learning-frameworks-2107.06064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-of-the-weak-reset-process-in-hfox-resistive-memory-for-deep-learning-frameworks-2107.06064"/></url>
<url><loc>https://scifaro.com/en/abs/calibrated-uncertainty-for-molecular-property-prediction-using-ensembles-of-message-passing-neural-networks-2107.06068</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrated-uncertainty-for-molecular-property-prediction-using-ensembles-of-message-passing-neural-networks-2107.06068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrated-uncertainty-for-molecular-property-prediction-using-ensembles-of-message-passing-neural-networks-2107.06068"/></url>
<url><loc>https://scifaro.com/en/abs/on-choice-of-hyper-parameter-in-extreme-value-theory-based-on-machine-learning-techniques-2107.06074</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-choice-of-hyper-parameter-in-extreme-value-theory-based-on-machine-learning-techniques-2107.06074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-choice-of-hyper-parameter-in-extreme-value-theory-based-on-machine-learning-techniques-2107.06074"/></url>
<url><loc>https://scifaro.com/en/abs/practical-and-configurable-network-traffic-classification-using-probabilistic-machine-learning-2107.06080</loc><lastmod>2025-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-and-configurable-network-traffic-classification-using-probabilistic-machine-learning-2107.06080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-and-configurable-network-traffic-classification-using-probabilistic-machine-learning-2107.06080"/></url>
<url><loc>https://scifaro.com/en/abs/transformer-based-behavioral-representation-learning-enables-transfer-learning-for-mobile-sensing-in-small-datasets-2107.06097</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformer-based-behavioral-representation-learning-enables-transfer-learning-for-mobile-sensing-in-small-datasets-2107.06097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformer-based-behavioral-representation-learning-enables-transfer-learning-for-mobile-sensing-in-small-datasets-2107.06097"/></url>
<url><loc>https://scifaro.com/en/abs/using-causal-analysis-for-conceptual-deep-learning-explanation-2107.06098</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-causal-analysis-for-conceptual-deep-learning-explanation-2107.06098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-causal-analysis-for-conceptual-deep-learning-explanation-2107.06098"/></url>
<url><loc>https://scifaro.com/en/abs/conservative-offline-distributional-reinforcement-learning-2107.06106</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conservative-offline-distributional-reinforcement-learning-2107.06106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conservative-offline-distributional-reinforcement-learning-2107.06106"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-dynamical-systems-using-symbolic-regression-2107.06131</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-dynamical-systems-using-symbolic-regression-2107.06131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-dynamical-systems-using-symbolic-regression-2107.06131"/></url>
<url><loc>https://scifaro.com/en/abs/correlation-analysis-between-the-robustness-of-sparse-neural-networks-and-their-random-hidden-structural-priors-2107.06158</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlation-analysis-between-the-robustness-of-sparse-neural-networks-and-their-random-hidden-structural-priors-2107.06158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlation-analysis-between-the-robustness-of-sparse-neural-networks-and-their-random-hidden-structural-priors-2107.06158"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-models-for-wind-speed-using-artificial-intelligence-and-copula-2107.06182</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-models-for-wind-speed-using-artificial-intelligence-and-copula-2107.06182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-models-for-wind-speed-using-artificial-intelligence-and-copula-2107.06182"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-in-multi-agent-reinforcement-learning-with-double-q-networks-for-distributed-resource-sharing-in-v2x-communication-2107.06195</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-in-multi-agent-reinforcement-learning-with-double-q-networks-for-distributed-resource-sharing-in-v2x-communication-2107.06195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-in-multi-agent-reinforcement-learning-with-double-q-networks-for-distributed-resource-sharing-in-v2x-communication-2107.06195"/></url>
<url><loc>https://scifaro.com/en/abs/no-regrets-for-learning-the-prior-in-bandits-2107.06196</loc><lastmod>2022-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-regrets-for-learning-the-prior-in-bandits-2107.06196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-regrets-for-learning-the-prior-in-bandits-2107.06196"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-learning-via-kernel-density-discrimination-2107.06197</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-learning-via-kernel-density-discrimination-2107.06197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-learning-via-kernel-density-discrimination-2107.06197"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-machine-learning-for-time-varying-systems-low-dimensional-latent-space-tuning-2107.06207</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-machine-learning-for-time-varying-systems-low-dimensional-latent-space-tuning-2107.06207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-machine-learning-for-time-varying-systems-low-dimensional-latent-space-tuning-2107.06207"/></url>
<url><loc>https://scifaro.com/en/abs/what-classifiers-know-what-they-don-t-2107.06217</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-classifiers-know-what-they-don-t-2107.06217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-classifiers-know-what-they-don-t-2107.06217"/></url>
<url><loc>https://scifaro.com/en/abs/pessimistic-model-based-offline-reinforcement-learning-under-partial-coverage-2107.06226</loc><lastmod>2023-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pessimistic-model-based-offline-reinforcement-learning-under-partial-coverage-2107.06226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pessimistic-model-based-offline-reinforcement-learning-under-partial-coverage-2107.06226"/></url>
<url><loc>https://scifaro.com/en/abs/smoothed-bernstein-online-aggregation-for-day-ahead-electricity-demand-forecasting-2107.06268</loc><lastmod>2022-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothed-bernstein-online-aggregation-for-day-ahead-electricity-demand-forecasting-2107.06268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothed-bernstein-online-aggregation-for-day-ahead-electricity-demand-forecasting-2107.06268"/></url>
<url><loc>https://scifaro.com/en/abs/why-generalization-in-rl-is-difficult-epistemic-pomdps-and-implicit-partial-observability-2107.06277</loc><lastmod>2021-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-generalization-in-rl-is-difficult-epistemic-pomdps-and-implicit-partial-observability-2107.06277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-generalization-in-rl-is-difficult-epistemic-pomdps-and-implicit-partial-observability-2107.06277"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-vulnerability-of-split-computing-to-data-free-model-inversion-attacks-2107.06304</loc><lastmod>2022-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-vulnerability-of-split-computing-to-data-free-model-inversion-attacks-2107.06304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-vulnerability-of-split-computing-to-data-free-model-inversion-attacks-2107.06304"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-contextual-bandits-learning-how-behavior-evolves-over-time-2107.06317</loc><lastmod>2022-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-contextual-bandits-learning-how-behavior-evolves-over-time-2107.06317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-contextual-bandits-learning-how-behavior-evolves-over-time-2107.06317"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-performance-analysis-of-the-adversarial-system-variant-approximation-method-to-quantify-process-model-generalization-2107.06319</loc><lastmod>2022-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-performance-analysis-of-the-adversarial-system-variant-approximation-method-to-quantify-process-model-generalization-2107.06319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-performance-analysis-of-the-adversarial-system-variant-approximation-method-to-quantify-process-model-generalization-2107.06319"/></url>
<url><loc>https://scifaro.com/en/abs/improving-cooperative-game-theory-based-data-valuation-via-data-utility-learning-2107.06336</loc><lastmod>2022-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-cooperative-game-theory-based-data-valuation-via-data-utility-learning-2107.06336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-cooperative-game-theory-based-data-valuation-via-data-utility-learning-2107.06336"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-reinforcement-learning-based-stochastic-driver-behavior-learning-2107.06344</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-based-stochastic-driver-behavior-learning-2107.06344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-based-stochastic-driver-behavior-learning-2107.06344"/></url>
<url><loc>https://scifaro.com/en/abs/geometry-and-generalization-eigenvalues-as-predictors-of-where-a-network-will-fail-to-generalize-2107.06386</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometry-and-generalization-eigenvalues-as-predictors-of-where-a-network-will-fail-to-generalize-2107.06386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometry-and-generalization-eigenvalues-as-predictors-of-where-a-network-will-fail-to-generalize-2107.06386"/></url>
<url><loc>https://scifaro.com/en/abs/shortest-path-constrained-reinforcement-learning-for-sparse-reward-tasks-2107.06405</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shortest-path-constrained-reinforcement-learning-for-sparse-reward-tasks-2107.06405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shortest-path-constrained-reinforcement-learning-for-sparse-reward-tasks-2107.06405"/></url>
<url><loc>https://scifaro.com/en/abs/the-foes-of-neural-network-s-data-efficiency-among-unnecessary-input-dimensions-2107.06409</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-foes-of-neural-network-s-data-efficiency-among-unnecessary-input-dimensions-2107.06409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-foes-of-neural-network-s-data-efficiency-among-unnecessary-input-dimensions-2107.06409"/></url>
<url><loc>https://scifaro.com/en/abs/flat-an-optimized-dataflow-for-mitigating-attention-bottlenecks-2107.06419</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flat-an-optimized-dataflow-for-mitigating-attention-bottlenecks-2107.06419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flat-an-optimized-dataflow-for-mitigating-attention-bottlenecks-2107.06419"/></url>
<url><loc>https://scifaro.com/en/abs/tourbillon-a-physically-plausible-neural-architecture-2107.06424</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tourbillon-a-physically-plausible-neural-architecture-2107.06424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tourbillon-a-physically-plausible-neural-architecture-2107.06424"/></url>
<url><loc>https://scifaro.com/en/abs/aid-purifier-a-light-auxiliary-network-for-boosting-adversarial-defense-2107.06456</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aid-purifier-a-light-auxiliary-network-for-boosting-adversarial-defense-2107.06456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aid-purifier-a-light-auxiliary-network-for-boosting-adversarial-defense-2107.06456"/></url>
<url><loc>https://scifaro.com/en/abs/going-beyond-linear-rl-sample-efficient-neural-function-approximation-2107.06466</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/going-beyond-linear-rl-sample-efficient-neural-function-approximation-2107.06466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/going-beyond-linear-rl-sample-efficient-neural-function-approximation-2107.06466"/></url>
<url><loc>https://scifaro.com/en/abs/generative-and-reproducible-benchmarks-for-comprehensive-evaluation-of-machine-learning-classifiers-2107.06475</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-and-reproducible-benchmarks-for-comprehensive-evaluation-of-machine-learning-classifiers-2107.06475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-and-reproducible-benchmarks-for-comprehensive-evaluation-of-machine-learning-classifiers-2107.06475"/></url>
<url><loc>https://scifaro.com/en/abs/cnn-cap-effective-convolutional-neural-network-based-capacitance-models-for-full-chip-parasitic-extraction-2107.06511</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cnn-cap-effective-convolutional-neural-network-based-capacitance-models-for-full-chip-parasitic-extraction-2107.06511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cnn-cap-effective-convolutional-neural-network-based-capacitance-models-for-full-chip-parasitic-extraction-2107.06511"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-hierarchical-federated-learning-for-iot-heterogeneous-systems-with-imbalanced-data-2107.06548</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-hierarchical-federated-learning-for-iot-heterogeneous-systems-with-imbalanced-data-2107.06548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-hierarchical-federated-learning-for-iot-heterogeneous-systems-with-imbalanced-data-2107.06548"/></url>
<url><loc>https://scifaro.com/en/abs/mess-manifold-embedding-motivated-super-sampling-2107.06566</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mess-manifold-embedding-motivated-super-sampling-2107.06566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mess-manifold-embedding-motivated-super-sampling-2107.06566"/></url>
<url><loc>https://scifaro.com/en/abs/ifedavg-interpretable-data-interoperability-for-federated-learning-2107.06580</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ifedavg-interpretable-data-interoperability-for-federated-learning-2107.06580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ifedavg-interpretable-data-interoperability-for-federated-learning-2107.06580"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-vs-discrete-optimization-of-deep-neural-networks-2107.06608</loc><lastmod>2021-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-vs-discrete-optimization-of-deep-neural-networks-2107.06608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-vs-discrete-optimization-of-deep-neural-networks-2107.06608"/></url>
<url><loc>https://scifaro.com/en/abs/online-evaluation-methods-for-the-causal-effect-of-recommendations-2107.06630</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-evaluation-methods-for-the-causal-effect-of-recommendations-2107.06630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-evaluation-methods-for-the-causal-effect-of-recommendations-2107.06630"/></url>
<url><loc>https://scifaro.com/en/abs/disparity-between-batches-as-a-signal-for-early-stopping-2107.06665</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disparity-between-batches-as-a-signal-for-early-stopping-2107.06665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disparity-between-batches-as-a-signal-for-early-stopping-2107.06665"/></url>
<url><loc>https://scifaro.com/en/abs/thinkback-task-specificout-of-distribution-detection-2107.06668</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thinkback-task-specificout-of-distribution-detection-2107.06668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thinkback-task-specificout-of-distribution-detection-2107.06668"/></url>
<url><loc>https://scifaro.com/en/abs/higgs-boson-classification-brain-inspired-bcpnn-learning-with-streambrain-2107.06676</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higgs-boson-classification-brain-inspired-bcpnn-learning-with-streambrain-2107.06676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higgs-boson-classification-brain-inspired-bcpnn-learning-with-streambrain-2107.06676"/></url>
<url><loc>https://scifaro.com/en/abs/safer-reinforcement-learning-through-transferable-instinct-networks-2107.06686</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safer-reinforcement-learning-through-transferable-instinct-networks-2107.06686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safer-reinforcement-learning-through-transferable-instinct-networks-2107.06686"/></url>
<url><loc>https://scifaro.com/en/abs/deep-adaptive-multi-intention-inverse-reinforcement-learning-2107.06692</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-adaptive-multi-intention-inverse-reinforcement-learning-2107.06692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-adaptive-multi-intention-inverse-reinforcement-learning-2107.06692"/></url>
<url><loc>https://scifaro.com/en/abs/differential-critic-gan-generating-what-you-want-by-a-cue-of-preferences-2107.06700</loc><lastmod>2023-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-critic-gan-generating-what-you-want-by-a-cue-of-preferences-2107.06700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-critic-gan-generating-what-you-want-by-a-cue-of-preferences-2107.06700"/></url>
<url><loc>https://scifaro.com/en/abs/zero-round-active-learning-2107.06703</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-round-active-learning-2107.06703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-round-active-learning-2107.06703"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-in-ranking-under-uncertainty-2107.06720</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-in-ranking-under-uncertainty-2107.06720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-in-ranking-under-uncertainty-2107.06720"/></url>
<url><loc>https://scifaro.com/en/abs/federated-mixture-of-experts-2107.06724</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-mixture-of-experts-2107.06724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-mixture-of-experts-2107.06724"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-of-pinball-twsvm-using-privileged-information-and-its-applications-2107.06744</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-of-pinball-twsvm-using-privileged-information-and-its-applications-2107.06744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-of-pinball-twsvm-using-privileged-information-and-its-applications-2107.06744"/></url>
<url><loc>https://scifaro.com/en/abs/dit4bears-smart-roads-internship-2107.06755</loc><lastmod>2023-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dit4bears-smart-roads-internship-2107.06755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dit4bears-smart-roads-internship-2107.06755"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-lottery-ticket-hypothesis-2107.06825</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-lottery-ticket-hypothesis-2107.06825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-lottery-ticket-hypothesis-2107.06825"/></url>
<url><loc>https://scifaro.com/en/abs/extreme-precipitation-seasonal-forecast-using-a-transformer-neural-network-2107.06846</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extreme-precipitation-seasonal-forecast-using-a-transformer-neural-network-2107.06846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extreme-precipitation-seasonal-forecast-using-a-transformer-neural-network-2107.06846"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-approach-for-modelling-and-classifying-sit-to-stand-kinematics-using-inertial-sensors-2107.06859</loc><lastmod>2023-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-approach-for-modelling-and-classifying-sit-to-stand-kinematics-using-inertial-sensors-2107.06859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-approach-for-modelling-and-classifying-sit-to-stand-kinematics-using-inertial-sensors-2107.06859"/></url>
<url><loc>https://scifaro.com/en/abs/core-set-sampling-for-efficient-neural-architecture-search-2107.06869</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/core-set-sampling-for-efficient-neural-architecture-search-2107.06869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/core-set-sampling-for-efficient-neural-architecture-search-2107.06869"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-optimal-transport-in-high-dimensions-for-graph-distances-embedding-alignment-and-more-2107.06876</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-optimal-transport-in-high-dimensions-for-graph-distances-embedding-alignment-and-more-2107.06876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-optimal-transport-in-high-dimensions-for-graph-distances-embedding-alignment-and-more-2107.06876"/></url>
<url><loc>https://scifaro.com/en/abs/federated-self-training-for-semi-supervised-audio-recognition-2107.06877</loc><lastmod>2022-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-self-training-for-semi-supervised-audio-recognition-2107.06877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-self-training-for-semi-supervised-audio-recognition-2107.06877"/></url>
<url><loc>https://scifaro.com/en/abs/conservative-objective-models-for-effective-offline-model-based-optimization-2107.06882</loc><lastmod>2021-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conservative-objective-models-for-effective-offline-model-based-optimization-2107.06882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conservative-objective-models-for-effective-offline-model-based-optimization-2107.06882"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-failures-in-out-of-distribution-detection-with-deep-generative-models-2107.06908</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-failures-in-out-of-distribution-detection-with-deep-generative-models-2107.06908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-failures-in-out-of-distribution-detection-with-deep-generative-models-2107.06908"/></url>
<url><loc>https://scifaro.com/en/abs/a-field-guide-to-federated-optimization-2107.06917</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-field-guide-to-federated-optimization-2107.06917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-field-guide-to-federated-optimization-2107.06917"/></url>
<url><loc>https://scifaro.com/en/abs/feature-shift-detection-localizing-which-features-have-shifted-via-conditional-distribution-tests-2107.06929</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-shift-detection-localizing-which-features-have-shifted-via-conditional-distribution-tests-2107.06929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-shift-detection-localizing-which-features-have-shifted-via-conditional-distribution-tests-2107.06929"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-impossibility-of-non-trivial-accuracy-under-fairness-constraints-2107.06944</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-impossibility-of-non-trivial-accuracy-under-fairness-constraints-2107.06944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-impossibility-of-non-trivial-accuracy-under-fairness-constraints-2107.06944"/></url>
<url><loc>https://scifaro.com/en/abs/mafat-memory-aware-fusing-and-tiling-of-neural-networks-for-accelerated-edge-inference-2107.06960</loc><lastmod>2023-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mafat-memory-aware-fusing-and-tiling-of-neural-networks-for-accelerated-edge-inference-2107.06960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mafat-memory-aware-fusing-and-tiling-of-neural-networks-for-accelerated-edge-inference-2107.06960"/></url>
<url><loc>https://scifaro.com/en/abs/mapping-learning-algorithms-on-data-a-useful-step-for-optimizing-performances-and-their-comparison-2107.06981</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mapping-learning-algorithms-on-data-a-useful-step-for-optimizing-performances-and-their-comparison-2107.06981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mapping-learning-algorithms-on-data-a-useful-step-for-optimizing-performances-and-their-comparison-2107.06981"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-generative-neural-network-an-application-to-troposphere-temperature-prediction-2107.06991</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-generative-neural-network-an-application-to-troposphere-temperature-prediction-2107.06991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-generative-neural-network-an-application-to-troposphere-temperature-prediction-2107.06991"/></url>
<url><loc>https://scifaro.com/en/abs/finding-significant-features-for-few-shot-learning-using-dimensionality-reduction-2107.06992</loc><lastmod>2022-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-significant-features-for-few-shot-learning-using-dimensionality-reduction-2107.06992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-significant-features-for-few-shot-learning-using-dimensionality-reduction-2107.06992"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-conditioned-knowledge-distillation-2107.06993</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-conditioned-knowledge-distillation-2107.06993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-conditioned-knowledge-distillation-2107.06993"/></url>
<url><loc>https://scifaro.com/en/abs/systematic-human-learning-and-generalization-from-a-brief-tutorial-with-explanatory-feedback-2107.06994</loc><lastmod>2023-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/systematic-human-learning-and-generalization-from-a-brief-tutorial-with-explanatory-feedback-2107.06994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/systematic-human-learning-and-generalization-from-a-brief-tutorial-with-explanatory-feedback-2107.06994"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-temporal-attention-augmented-bilinear-network-for-financial-time-series-forecasting-2107.06995</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-temporal-attention-augmented-bilinear-network-for-financial-time-series-forecasting-2107.06995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-temporal-attention-augmented-bilinear-network-for-financial-time-series-forecasting-2107.06995"/></url>
<url><loc>https://scifaro.com/en/abs/elastic-graph-neural-networks-2107.06996</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elastic-graph-neural-networks-2107.06996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elastic-graph-neural-networks-2107.06996"/></url>
<url><loc>https://scifaro.com/en/abs/deephyperion-exploring-the-feature-space-of-deep-learning-based-systems-through-illumination-search-2107.06997</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deephyperion-exploring-the-feature-space-of-deep-learning-based-systems-through-illumination-search-2107.06997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deephyperion-exploring-the-feature-space-of-deep-learning-based-systems-through-illumination-search-2107.06997"/></url>
<url><loc>https://scifaro.com/en/abs/the-benchmark-lottery-2107.07002</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-benchmark-lottery-2107.07002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-benchmark-lottery-2107.07002"/></url>
<url><loc>https://scifaro.com/en/abs/weightscale-interpreting-weight-change-in-neural-networks-2107.07005</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weightscale-interpreting-weight-change-in-neural-networks-2107.07005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weightscale-interpreting-weight-change-in-neural-networks-2107.07005"/></url>
<url><loc>https://scifaro.com/en/abs/free-text-keystroke-dynamics-for-user-authentication-2107.07009</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/free-text-keystroke-dynamics-for-user-authentication-2107.07009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/free-text-keystroke-dynamics-for-user-authentication-2107.07009"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-bayesian-neural-networks-with-functional-probabilistic-layers-2107.07014</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-bayesian-neural-networks-with-functional-probabilistic-layers-2107.07014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-bayesian-neural-networks-with-functional-probabilistic-layers-2107.07014"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-teaching-size-2107.07038</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-teaching-size-2107.07038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-teaching-size-2107.07038"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-hourly-streamflow-prediction-with-graph-convolutional-gru-networks-2107.07039</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-hourly-streamflow-prediction-with-graph-convolutional-gru-networks-2107.07039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-hourly-streamflow-prediction-with-graph-convolutional-gru-networks-2107.07039"/></url>
<url><loc>https://scifaro.com/en/abs/parsimony-enhanced-sparse-bayesian-learning-for-robust-discovery-of-partial-differential-equations-2107.07040</loc><lastmod>2022-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parsimony-enhanced-sparse-bayesian-learning-for-robust-discovery-of-partial-differential-equations-2107.07040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parsimony-enhanced-sparse-bayesian-learning-for-robust-discovery-of-partial-differential-equations-2107.07040"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-memorization-in-sample-selection-for-learning-with-noisy-labels-2107.07041</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-memorization-in-sample-selection-for-learning-with-noisy-labels-2107.07041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-memorization-in-sample-selection-for-learning-with-noisy-labels-2107.07041"/></url>
<url><loc>https://scifaro.com/en/abs/classifying-component-function-in-product-assemblies-with-graph-neural-networks-2107.07042</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classifying-component-function-in-product-assemblies-with-graph-neural-networks-2107.07042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classifying-component-function-in-product-assemblies-with-graph-neural-networks-2107.07042"/></url>
<url><loc>https://scifaro.com/en/abs/ggt-graph-guided-testing-for-adversarial-sample-detection-of-deep-neural-network-2107.07043</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ggt-graph-guided-testing-for-adversarial-sample-detection-of-deep-neural-network-2107.07043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ggt-graph-guided-testing-for-adversarial-sample-detection-of-deep-neural-network-2107.07043"/></url>
<url><loc>https://scifaro.com/en/abs/nvcell-standard-cell-layout-in-advanced-technology-nodes-with-reinforcement-learning-2107.07044</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nvcell-standard-cell-layout-in-advanced-technology-nodes-with-reinforcement-learning-2107.07044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nvcell-standard-cell-layout-in-advanced-technology-nodes-with-reinforcement-learning-2107.07044"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-ai-current-status-and-future-directions-2107.07045</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-ai-current-status-and-future-directions-2107.07045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-ai-current-status-and-future-directions-2107.07045"/></url>
<url><loc>https://scifaro.com/en/abs/backprop-free-reinforcement-learning-with-active-neural-generative-coding-2107.07046</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backprop-free-reinforcement-learning-with-active-neural-generative-coding-2107.07046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backprop-free-reinforcement-learning-with-active-neural-generative-coding-2107.07046"/></url>
<url><loc>https://scifaro.com/en/abs/expert-graphs-synthesizing-new-expertise-via-collaboration-2107.07054</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expert-graphs-synthesizing-new-expertise-via-collaboration-2107.07054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expert-graphs-synthesizing-new-expertise-via-collaboration-2107.07054"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-on-a-data-diet-finding-important-examples-early-in-training-2107.07075</loc><lastmod>2023-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-on-a-data-diet-finding-important-examples-early-in-training-2107.07075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-on-a-data-diet-finding-important-examples-early-in-training-2107.07075"/></url>
<url><loc>https://scifaro.com/en/abs/an-overview-and-experimental-study-of-learning-based-optimization-algorithms-for-vehicle-routing-problem-2107.07076</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-overview-and-experimental-study-of-learning-based-optimization-algorithms-for-vehicle-routing-problem-2107.07076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-overview-and-experimental-study-of-learning-based-optimization-algorithms-for-vehicle-routing-problem-2107.07076"/></url>
<url><loc>https://scifaro.com/en/abs/neusaver-neural-adaptive-power-consumption-optimization-for-mobile-video-streaming-2107.07127</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neusaver-neural-adaptive-power-consumption-optimization-for-mobile-video-streaming-2107.07127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neusaver-neural-adaptive-power-consumption-optimization-for-mobile-video-streaming-2107.07127"/></url>
<url><loc>https://scifaro.com/en/abs/lockout-sparse-regularization-of-neural-networks-2107.07160</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lockout-sparse-regularization-of-neural-networks-2107.07160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lockout-sparse-regularization-of-neural-networks-2107.07160"/></url>
<url><loc>https://scifaro.com/en/abs/decefl-a-principled-decentralized-federated-learning-framework-2107.07171</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decefl-a-principled-decentralized-federated-learning-framework-2107.07171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decefl-a-principled-decentralized-federated-learning-framework-2107.07171"/></url>
<url><loc>https://scifaro.com/en/abs/mural-meta-learning-uncertainty-aware-rewards-for-outcome-driven-reinforcement-learning-2107.07184</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mural-meta-learning-uncertainty-aware-rewards-for-outcome-driven-reinforcement-learning-2107.07184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mural-meta-learning-uncertainty-aware-rewards-for-outcome-driven-reinforcement-learning-2107.07184"/></url>
<url><loc>https://scifaro.com/en/abs/rbue-a-relu-based-uncertainty-estimation-method-of-deep-neural-networks-2107.07197</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rbue-a-relu-based-uncertainty-estimation-method-of-deep-neural-networks-2107.07197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rbue-a-relu-based-uncertainty-estimation-method-of-deep-neural-networks-2107.07197"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-bayesian-learning-with-metropolis-adjusted-hamiltonian-monte-carlo-2107.07211</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-bayesian-learning-with-metropolis-adjusted-hamiltonian-monte-carlo-2107.07211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-bayesian-learning-with-metropolis-adjusted-hamiltonian-monte-carlo-2107.07211"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-expressivity-of-bi-lipschitz-normalizing-flows-2107.07232</loc><lastmod>2024-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-expressivity-of-bi-lipschitz-normalizing-flows-2107.07232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-expressivity-of-bi-lipschitz-normalizing-flows-2107.07232"/></url>
<url><loc>https://scifaro.com/en/abs/subnet-replacement-deployment-stage-backdoor-attack-against-deep-neural-networks-in-gray-box-setting-2107.07240</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subnet-replacement-deployment-stage-backdoor-attack-against-deep-neural-networks-in-gray-box-setting-2107.07240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subnet-replacement-deployment-stage-backdoor-attack-against-deep-neural-networks-in-gray-box-setting-2107.07240"/></url>
<url><loc>https://scifaro.com/en/abs/mcl-gan-generative-adversarial-networks-with-multiple-specialized-discriminators-2107.07260</loc><lastmod>2024-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mcl-gan-generative-adversarial-networks-with-multiple-specialized-discriminators-2107.07260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mcl-gan-generative-adversarial-networks-with-multiple-specialized-discriminators-2107.07260"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-deep-learning-workflow-to-predict-multiphase-flow-behavior-during-geological-co2-sequestration-injection-and-post-injection-periods-2107.07274</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-deep-learning-workflow-to-predict-multiphase-flow-behavior-during-geological-co2-sequestration-injection-and-post-injection-periods-2107.07274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-deep-learning-workflow-to-predict-multiphase-flow-behavior-during-geological-co2-sequestration-injection-and-post-injection-periods-2107.07274"/></url>
<url><loc>https://scifaro.com/en/abs/input-dependent-sparse-gaussian-processes-2107.07281</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/input-dependent-sparse-gaussian-processes-2107.07281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/input-dependent-sparse-gaussian-processes-2107.07281"/></url>
<url><loc>https://scifaro.com/en/abs/a-light-weight-deep-human-activity-recognition-algorithm-using-multi-knowledge-distillation-2107.07331</loc><lastmod>2024-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-light-weight-deep-human-activity-recognition-algorithm-using-multi-knowledge-distillation-2107.07331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-light-weight-deep-human-activity-recognition-algorithm-using-multi-knowledge-distillation-2107.07331"/></url>
<url><loc>https://scifaro.com/en/abs/an-overview-of-machine-learning-aided-optical-performance-monitoring-techniques-2107.07338</loc><lastmod>2021-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-overview-of-machine-learning-aided-optical-performance-monitoring-techniques-2107.07338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-overview-of-machine-learning-aided-optical-performance-monitoring-techniques-2107.07338"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-analysis-of-solar-cell-optical-performance-using-gaussian-processes-2107.07342</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-analysis-of-solar-cell-optical-performance-using-gaussian-processes-2107.07342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-analysis-of-solar-cell-optical-performance-using-gaussian-processes-2107.07342"/></url>
<url><loc>https://scifaro.com/en/abs/mutation-is-all-you-need-2107.07343</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mutation-is-all-you-need-2107.07343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mutation-is-all-you-need-2107.07343"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-the-structure-of-ordinary-differential-equations-2107.07345</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-the-structure-of-ordinary-differential-equations-2107.07345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-the-structure-of-ordinary-differential-equations-2107.07345"/></url>
<url><loc>https://scifaro.com/en/abs/you-do-not-need-a-bigger-boat-recommendations-at-reasonable-scale-in-a-mostly-serverless-and-open-stack-2107.07346</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/you-do-not-need-a-bigger-boat-recommendations-at-reasonable-scale-in-a-mostly-serverless-and-open-stack-2107.07346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/you-do-not-need-a-bigger-boat-recommendations-at-reasonable-scale-in-a-mostly-serverless-and-open-stack-2107.07346"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-schematic-classifier-independent-oversampling-approach-for-imbalanced-datasets-2107.07349</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-schematic-classifier-independent-oversampling-approach-for-imbalanced-datasets-2107.07349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-schematic-classifier-independent-oversampling-approach-for-imbalanced-datasets-2107.07349"/></url>
<url><loc>https://scifaro.com/en/abs/copula-based-normalizing-flows-2107.07352</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/copula-based-normalizing-flows-2107.07352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/copula-based-normalizing-flows-2107.07352"/></url>
<url><loc>https://scifaro.com/en/abs/a-reinforcement-learning-environment-for-mathematical-reasoning-via-program-synthesis-2107.07373</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reinforcement-learning-environment-for-mathematical-reasoning-via-program-synthesis-2107.07373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reinforcement-learning-environment-for-mathematical-reasoning-via-program-synthesis-2107.07373"/></url>
<url><loc>https://scifaro.com/en/abs/a-fixed-version-of-quadratic-program-in-gradient-episodic-memory-2107.07384</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fixed-version-of-quadratic-program-in-gradient-episodic-memory-2107.07384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fixed-version-of-quadratic-program-in-gradient-episodic-memory-2107.07384"/></url>
<url><loc>https://scifaro.com/en/abs/explore-and-control-with-adversarial-surprise-2107.07394</loc><lastmod>2021-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explore-and-control-with-adversarial-surprise-2107.07394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explore-and-control-with-adversarial-surprise-2107.07394"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-based-analysis-of-free-text-keystroke-dynamics-2107.07409</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-based-analysis-of-free-text-keystroke-dynamics-2107.07409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-based-analysis-of-free-text-keystroke-dynamics-2107.07409"/></url>
<url><loc>https://scifaro.com/en/abs/pc-mlp-model-based-reinforcement-learning-with-policy-cover-guided-exploration-2107.07410</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pc-mlp-model-based-reinforcement-learning-with-policy-cover-guided-exploration-2107.07410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pc-mlp-model-based-reinforcement-learning-with-policy-cover-guided-exploration-2107.07410"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-graph-neural-nets-can-capture-long-range-interactions-2107.07432</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-graph-neural-nets-can-capture-long-range-interactions-2107.07432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-graph-neural-nets-can-capture-long-range-interactions-2107.07432"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-neural-bandit-for-visual-aware-recommendation-2107.07438</loc><lastmod>2022-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-neural-bandit-for-visual-aware-recommendation-2107.07438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-neural-bandit-for-visual-aware-recommendation-2107.07438"/></url>
<url><loc>https://scifaro.com/en/abs/data-vs-classifiers-who-wins-2107.07451</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-vs-classifiers-who-wins-2107.07451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-vs-classifiers-who-wins-2107.07451"/></url>
<url><loc>https://scifaro.com/en/abs/shifts-a-dataset-of-real-distributional-shift-across-multiple-large-scale-tasks-2107.07455</loc><lastmod>2022-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shifts-a-dataset-of-real-distributional-shift-across-multiple-large-scale-tasks-2107.07455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shifts-a-dataset-of-real-distributional-shift-across-multiple-large-scale-tasks-2107.07455"/></url>
<url><loc>https://scifaro.com/en/abs/only-train-once-a-one-shot-neural-network-training-and-pruning-framework-2107.07467</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/only-train-once-a-one-shot-neural-network-training-and-pruning-framework-2107.07467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/only-train-once-a-one-shot-neural-network-training-and-pruning-framework-2107.07467"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-concept-based-explainable-reasoning-2107.07493</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-concept-based-explainable-reasoning-2107.07493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-concept-based-explainable-reasoning-2107.07493"/></url>
<url><loc>https://scifaro.com/en/abs/multibench-multiscale-benchmarks-for-multimodal-representation-learning-2107.07502</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multibench-multiscale-benchmarks-for-multimodal-representation-learning-2107.07502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multibench-multiscale-benchmarks-for-multimodal-representation-learning-2107.07502"/></url>
<url><loc>https://scifaro.com/en/abs/adaptable-agent-populations-via-a-generative-model-of-policies-2107.07506</loc><lastmod>2021-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptable-agent-populations-via-a-generative-model-of-policies-2107.07506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptable-agent-populations-via-a-generative-model-of-policies-2107.07506"/></url>
<url><loc>https://scifaro.com/en/abs/usco-solver-solving-undetermined-stochastic-combinatorial-optimization-problems-2107.07508</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/usco-solver-solving-undetermined-stochastic-combinatorial-optimization-problems-2107.07508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/usco-solver-solving-undetermined-stochastic-combinatorial-optimization-problems-2107.07508"/></url>
<url><loc>https://scifaro.com/en/abs/a-gentle-introduction-to-conformal-prediction-and-distribution-free-uncertainty-quantification-2107.07511</loc><lastmod>2022-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gentle-introduction-to-conformal-prediction-and-distribution-free-uncertainty-quantification-2107.07511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gentle-introduction-to-conformal-prediction-and-distribution-free-uncertainty-quantification-2107.07511"/></url>
<url><loc>https://scifaro.com/en/abs/sa-gd-improved-gradient-descent-learning-strategy-with-simulated-annealing-2107.07558</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sa-gd-improved-gradient-descent-learning-strategy-with-simulated-annealing-2107.07558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sa-gd-improved-gradient-descent-learning-strategy-with-simulated-annealing-2107.07558"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-importance-of-regularisation-auxiliary-information-in-ood-detection-2107.07564</loc><lastmod>2023-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-importance-of-regularisation-auxiliary-information-in-ood-detection-2107.07564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-importance-of-regularisation-auxiliary-information-in-ood-detection-2107.07564"/></url>
<url><loc>https://scifaro.com/en/abs/globally-convergent-multilevel-training-of-deep-residual-networks-2107.07572</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/globally-convergent-multilevel-training-of-deep-residual-networks-2107.07572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/globally-convergent-multilevel-training-of-deep-residual-networks-2107.07572"/></url>
<url><loc>https://scifaro.com/en/abs/a-channel-coding-benchmark-for-meta-learning-2107.07579</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-channel-coding-benchmark-for-meta-learning-2107.07579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-channel-coding-benchmark-for-meta-learning-2107.07579"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-insights-on-continual-learning-from-fruit-flies-2107.07617</loc><lastmod>2021-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-insights-on-continual-learning-from-fruit-flies-2107.07617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-insights-on-continual-learning-from-fruit-flies-2107.07617"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attack-for-uncertainty-estimation-identifying-critical-regions-in-neural-networks-2107.07618</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attack-for-uncertainty-estimation-identifying-critical-regions-in-neural-networks-2107.07618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attack-for-uncertainty-estimation-identifying-critical-regions-in-neural-networks-2107.07618"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-value-iteration-dynamic-error-aware-kl-regularization-for-reinforcement-learning-2107.07659</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-value-iteration-dynamic-error-aware-kl-regularization-for-reinforcement-learning-2107.07659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-value-iteration-dynamic-error-aware-kl-regularization-for-reinforcement-learning-2107.07659"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-in-place-corruption-insertion-and-deletion-in-denoising-probabilistic-models-2107.07675</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-in-place-corruption-insertion-and-deletion-in-denoising-probabilistic-models-2107.07675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-in-place-corruption-insertion-and-deletion-in-denoising-probabilistic-models-2107.07675"/></url>
<url><loc>https://scifaro.com/en/abs/ecg-adv-gan-detecting-ecg-adversarial-examples-with-conditional-generative-adversarial-networks-2107.07677</loc><lastmod>2022-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ecg-adv-gan-detecting-ecg-adversarial-examples-with-conditional-generative-adversarial-networks-2107.07677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ecg-adv-gan-detecting-ecg-adversarial-examples-with-conditional-generative-adversarial-networks-2107.07677"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-feedforward-neural-network-training-via-reachability-analysis-2107.07696</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-feedforward-neural-network-training-via-reachability-analysis-2107.07696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-feedforward-neural-network-training-via-reachability-analysis-2107.07696"/></url>
<url><loc>https://scifaro.com/en/abs/neural-contextual-anomaly-detection-for-time-series-2107.07702</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-contextual-anomaly-detection-for-time-series-2107.07702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-contextual-anomaly-detection-for-time-series-2107.07702"/></url>
<url><loc>https://scifaro.com/en/abs/scrae-deterministic-regularized-autoencoders-with-flexible-priors-for-clustering-single-cell-gene-expression-data-2107.07709</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scrae-deterministic-regularized-autoencoders-with-flexible-priors-for-clustering-single-cell-gene-expression-data-2107.07709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scrae-deterministic-regularized-autoencoders-with-flexible-priors-for-clustering-single-cell-gene-expression-data-2107.07709"/></url>
<url><loc>https://scifaro.com/en/abs/towards-an-interpretable-latent-space-in-structured-models-for-video-prediction-2107.07713</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-an-interpretable-latent-space-in-structured-models-for-video-prediction-2107.07713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-an-interpretable-latent-space-in-structured-models-for-video-prediction-2107.07713"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-imbalanced-data-under-cold-start-2107.07724</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-imbalanced-data-under-cold-start-2107.07724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-imbalanced-data-under-cold-start-2107.07724"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-for-marked-temporal-point-processes-2107.07729</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-for-marked-temporal-point-processes-2107.07729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-for-marked-temporal-point-processes-2107.07729"/></url>
<url><loc>https://scifaro.com/en/abs/egc2-enhanced-graph-classification-with-easy-graph-compression-2107.07737</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/egc2-enhanced-graph-classification-with-easy-graph-compression-2107.07737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/egc2-enhanced-graph-classification-with-easy-graph-compression-2107.07737"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-spatiotemporal-scenario-generation-of-renewable-energies-a-federated-deep-generative-learning-approach-2107.07738</loc><lastmod>2022-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-spatiotemporal-scenario-generation-of-renewable-energies-a-federated-deep-generative-learning-approach-2107.07738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-spatiotemporal-scenario-generation-of-renewable-energies-a-federated-deep-generative-learning-approach-2107.07738"/></url>
<url><loc>https://scifaro.com/en/abs/ms-mda-multisource-marginal-distribution-adaptation-for-cross-subject-and-cross-session-eeg-emotion-recognition-2107.07740</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ms-mda-multisource-marginal-distribution-adaptation-for-cross-subject-and-cross-session-eeg-emotion-recognition-2107.07740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ms-mda-multisource-marginal-distribution-adaptation-for-cross-subject-and-cross-session-eeg-emotion-recognition-2107.07740"/></url>
<url><loc>https://scifaro.com/en/abs/when-does-loss-based-prioritization-fail-2107.07741</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-does-loss-based-prioritization-fail-2107.07741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-does-loss-based-prioritization-fail-2107.07741"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-fairness-in-generative-models-2107.07754</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-fairness-in-generative-models-2107.07754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-fairness-in-generative-models-2107.07754"/></url>
<url><loc>https://scifaro.com/en/abs/graph-representation-learning-for-road-type-classification-2107.07791</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-representation-learning-for-road-type-classification-2107.07791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-representation-learning-for-road-type-classification-2107.07791"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-and-explaining-the-inter-cluster-reliability-of-multidimensional-projections-2107.07859</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-and-explaining-the-inter-cluster-reliability-of-multidimensional-projections-2107.07859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-and-explaining-the-inter-cluster-reliability-of-multidimensional-projections-2107.07859"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-labs-of-origin-for-genetically-engineered-dna-using-metric-learning-2107.07878</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-labs-of-origin-for-genetically-engineered-dna-using-metric-learning-2107.07878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-labs-of-origin-for-genetically-engineered-dna-using-metric-learning-2107.07878"/></url>
<url><loc>https://scifaro.com/en/abs/an-uncertainty-aware-shareable-and-transparent-neural-network-architecture-for-brain-age-modeling-2107.07977</loc><lastmod>2021-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-uncertainty-aware-shareable-and-transparent-neural-network-architecture-for-brain-age-modeling-2107.07977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-uncertainty-aware-shareable-and-transparent-neural-network-architecture-for-brain-age-modeling-2107.07977"/></url>
<url><loc>https://scifaro.com/en/abs/property-aware-relation-networks-for-few-shot-molecular-property-prediction-2107.07994</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/property-aware-relation-networks-for-few-shot-molecular-property-prediction-2107.07994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/property-aware-relation-networks-for-few-shot-molecular-property-prediction-2107.07994"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-prediction-for-machine-learning-models-of-material-properties-2107.07997</loc><lastmod>2023-01-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-prediction-for-machine-learning-models-of-material-properties-2107.07997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-prediction-for-machine-learning-models-of-material-properties-2107.07997"/></url>
<url><loc>https://scifaro.com/en/abs/from-block-toeplitz-matrices-to-differential-equations-on-graphs-towards-a-general-theory-for-scalable-masked-transformers-2107.07999</loc><lastmod>2023-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-block-toeplitz-matrices-to-differential-equations-on-graphs-towards-a-general-theory-for-scalable-masked-transformers-2107.07999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-block-toeplitz-matrices-to-differential-equations-on-graphs-towards-a-general-theory-for-scalable-masked-transformers-2107.07999"/></url>
<url><loc>https://scifaro.com/en/abs/port-hamiltonian-neural-networks-for-learning-explicit-time-dependent-dynamical-systems-2107.08024</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/port-hamiltonian-neural-networks-for-learning-explicit-time-dependent-dynamical-systems-2107.08024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/port-hamiltonian-neural-networks-for-learning-explicit-time-dependent-dynamical-systems-2107.08024"/></url>
<url><loc>https://scifaro.com/en/abs/leanml-a-design-pattern-to-slash-avoidable-wastes-in-machine-learning-projects-2107.08066</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leanml-a-design-pattern-to-slash-avoidable-wastes-in-machine-learning-projects-2107.08066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leanml-a-design-pattern-to-slash-avoidable-wastes-in-machine-learning-projects-2107.08066"/></url>
<url><loc>https://scifaro.com/en/abs/refined-policy-improvement-bounds-for-mdps-2107.08068</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/refined-policy-improvement-bounds-for-mdps-2107.08068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/refined-policy-improvement-bounds-for-mdps-2107.08068"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-study-of-stochastic-and-deep-generative-models-for-multisite-precipitation-synthesis-2107.08074</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-study-of-stochastic-and-deep-generative-models-for-multisite-precipitation-synthesis-2107.08074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-study-of-stochastic-and-deep-generative-models-for-multisite-precipitation-synthesis-2107.08074"/></url>
<url><loc>https://scifaro.com/en/abs/robust-risk-sensitive-reinforcement-learning-agents-for-trading-markets-2107.08083</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-risk-sensitive-reinforcement-learning-agents-for-trading-markets-2107.08083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-risk-sensitive-reinforcement-learning-agents-for-trading-markets-2107.08083"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-limit-data-collection-via-scaling-laws-a-computational-interpretation-for-the-legal-principle-of-data-minimization-2107.08096</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-limit-data-collection-via-scaling-laws-a-computational-interpretation-for-the-legal-principle-of-data-minimization-2107.08096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-limit-data-collection-via-scaling-laws-a-computational-interpretation-for-the-legal-principle-of-data-minimization-2107.08096"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-multi-agent-reinforcement-learning-for-task-offloading-under-uncertainty-2107.08114</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-multi-agent-reinforcement-learning-for-task-offloading-under-uncertainty-2107.08114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-multi-agent-reinforcement-learning-for-task-offloading-under-uncertainty-2107.08114"/></url>
<url><loc>https://scifaro.com/en/abs/markov-blanket-discovery-using-minimum-message-length-2107.08140</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-blanket-discovery-using-minimum-message-length-2107.08140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-blanket-discovery-using-minimum-message-length-2107.08140"/></url>
<url><loc>https://scifaro.com/en/abs/autofl-enabling-heterogeneity-aware-energy-efficient-federated-learning-2107.08147</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autofl-enabling-heterogeneity-aware-energy-efficient-federated-learning-2107.08147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autofl-enabling-heterogeneity-aware-energy-efficient-federated-learning-2107.08147"/></url>
<url><loc>https://scifaro.com/en/abs/declarative-machine-learning-systems-2107.08148</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/declarative-machine-learning-systems-2107.08148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/declarative-machine-learning-systems-2107.08148"/></url>
<url><loc>https://scifaro.com/en/abs/megaverse-simulating-embodied-agents-at-one-million-experiences-per-second-2107.08170</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/megaverse-simulating-embodied-agents-at-one-million-experiences-per-second-2107.08170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/megaverse-simulating-embodied-agents-at-one-million-experiences-per-second-2107.08170"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-fairness-testing-of-neural-classifiers-through-adversarial-sampling-2107.08176</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-fairness-testing-of-neural-classifiers-through-adversarial-sampling-2107.08176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-fairness-testing-of-neural-classifiers-through-adversarial-sampling-2107.08176"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-reinforcement-learning-with-optimal-level-synchronization-based-on-a-deep-generative-model-2107.08183</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-with-optimal-level-synchronization-based-on-a-deep-generative-model-2107.08183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-reinforcement-learning-with-optimal-level-synchronization-based-on-a-deep-generative-model-2107.08183"/></url>
<url><loc>https://scifaro.com/en/abs/beds-bench-behavior-of-ehr-models-under-distributional-shift-a-benchmark-2107.08189</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beds-bench-behavior-of-ehr-models-under-distributional-shift-a-benchmark-2107.08189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beds-bench-behavior-of-ehr-models-under-distributional-shift-a-benchmark-2107.08189"/></url>
<url><loc>https://scifaro.com/en/abs/covid-19-multidimensional-kaggle-literature-organization-2107.08190</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covid-19-multidimensional-kaggle-literature-organization-2107.08190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covid-19-multidimensional-kaggle-literature-organization-2107.08190"/></url>
<url><loc>https://scifaro.com/en/abs/complexity-optimized-sparse-bayesian-learning-for-scalable-classification-tasks-2107.08195</loc><lastmod>2023-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complexity-optimized-sparse-bayesian-learning-for-scalable-classification-tasks-2107.08195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complexity-optimized-sparse-bayesian-learning-for-scalable-classification-tasks-2107.08195"/></url>
<url><loc>https://scifaro.com/en/abs/self-training-with-ensemble-of-teacher-models-2107.08211</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-training-with-ensemble-of-teacher-models-2107.08211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-training-with-ensemble-of-teacher-models-2107.08211"/></url>
<url><loc>https://scifaro.com/en/abs/visual-representation-learning-does-not-generalize-strongly-within-the-same-domain-2107.08221</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-representation-learning-does-not-generalize-strongly-within-the-same-domain-2107.08221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-representation-learning-does-not-generalize-strongly-within-the-same-domain-2107.08221"/></url>
<url><loc>https://scifaro.com/en/abs/high-accuracy-model-based-reinforcement-learning-a-survey-2107.08241</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-accuracy-model-based-reinforcement-learning-a-survey-2107.08241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-accuracy-model-based-reinforcement-learning-a-survey-2107.08241"/></url>
<url><loc>https://scifaro.com/en/abs/m2lens-visualizing-and-explaining-multimodal-models-for-sentiment-analysis-2107.08264</loc><lastmod>2022-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/m2lens-visualizing-and-explaining-multimodal-models-for-sentiment-analysis-2107.08264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/m2lens-visualizing-and-explaining-multimodal-models-for-sentiment-analysis-2107.08264"/></url>
<url><loc>https://scifaro.com/en/abs/strode-stochastic-boundary-ordinary-differential-equation-2107.08273</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strode-stochastic-boundary-ordinary-differential-equation-2107.08273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strode-stochastic-boundary-ordinary-differential-equation-2107.08273"/></url>
<url><loc>https://scifaro.com/en/abs/greedification-operators-for-policy-optimization-investigating-forward-and-reverse-kl-divergences-2107.08285</loc><lastmod>2022-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedification-operators-for-policy-optimization-investigating-forward-and-reverse-kl-divergences-2107.08285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedification-operators-for-policy-optimization-investigating-forward-and-reverse-kl-divergences-2107.08285"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-robustness-of-deep-reinforcement-learning-in-irs-aided-wireless-communications-systems-2107.08293</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-robustness-of-deep-reinforcement-learning-in-irs-aided-wireless-communications-systems-2107.08293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-robustness-of-deep-reinforcement-learning-in-irs-aided-wireless-communications-systems-2107.08293"/></url>
<url><loc>https://scifaro.com/en/abs/fairbalance-how-to-achieve-equalized-odds-with-data-pre-processing-2107.08310</loc><lastmod>2024-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairbalance-how-to-achieve-equalized-odds-with-data-pre-processing-2107.08310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairbalance-how-to-achieve-equalized-odds-with-data-pre-processing-2107.08310"/></url>
<url><loc>https://scifaro.com/en/abs/policy-optimization-in-adversarial-mdps-improved-exploration-via-dilated-bonuses-2107.08346</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-optimization-in-adversarial-mdps-improved-exploration-via-dilated-bonuses-2107.08346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-optimization-in-adversarial-mdps-improved-exploration-via-dilated-bonuses-2107.08346"/></url>
<url><loc>https://scifaro.com/en/abs/top-label-calibration-and-multiclass-to-binary-reductions-2107.08353</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/top-label-calibration-and-multiclass-to-binary-reductions-2107.08353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/top-label-calibration-and-multiclass-to-binary-reductions-2107.08353"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-verification-of-neural-networks-against-group-fairness-2107.08362</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-verification-of-neural-networks-against-group-fairness-2107.08362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-verification-of-neural-networks-against-group-fairness-2107.08362"/></url>
<url><loc>https://scifaro.com/en/abs/an-experimental-study-of-data-heterogeneity-in-federated-learning-methods-for-medical-imaging-2107.08371</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-experimental-study-of-data-heterogeneity-in-federated-learning-methods-for-medical-imaging-2107.08371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-experimental-study-of-data-heterogeneity-in-federated-learning-methods-for-medical-imaging-2107.08371"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-adaptive-gradient-method-with-gradient-decomposition-2107.08377</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-adaptive-gradient-method-with-gradient-decomposition-2107.08377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-adaptive-gradient-method-with-gradient-decomposition-2107.08377"/></url>
<url><loc>https://scifaro.com/en/abs/guideboot-guided-bootstrap-for-deep-contextual-bandits-2107.08383</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guideboot-guided-bootstrap-for-deep-contextual-bandits-2107.08383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guideboot-guided-bootstrap-for-deep-contextual-bandits-2107.08383"/></url>
<url><loc>https://scifaro.com/en/abs/train-on-small-play-the-large-scaling-up-board-games-with-alphazero-and-gnn-2107.08387</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/train-on-small-play-the-large-scaling-up-board-games-with-alphazero-and-gnn-2107.08387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/train-on-small-play-the-large-scaling-up-board-games-with-alphazero-and-gnn-2107.08387"/></url>
<url><loc>https://scifaro.com/en/abs/graphgen-redux-a-fast-and-lightweight-recurrent-model-for-labeled-graph-generation-2107.08396</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphgen-redux-a-fast-and-lightweight-recurrent-model-for-labeled-graph-generation-2107.08396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphgen-redux-a-fast-and-lightweight-recurrent-model-for-labeled-graph-generation-2107.08396"/></url>
<url><loc>https://scifaro.com/en/abs/a-method-for-estimating-the-entropy-of-time-series-using-artificial-neural-networks-2107.08399</loc><lastmod>2022-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-method-for-estimating-the-entropy-of-time-series-using-artificial-neural-networks-2107.08399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-method-for-estimating-the-entropy-of-time-series-using-artificial-neural-networks-2107.08399"/></url>
<url><loc>https://scifaro.com/en/abs/robustfed-a-truth-inference-approach-for-robust-federated-learning-2107.08402</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustfed-a-truth-inference-approach-for-robust-federated-learning-2107.08402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustfed-a-truth-inference-approach-for-robust-federated-learning-2107.08402"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-representation-of-successor-features-for-transfer-across-dissimilar-environments-2107.08426</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-representation-of-successor-features-for-transfer-across-dissimilar-environments-2107.08426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-representation-of-successor-features-for-transfer-across-dissimilar-environments-2107.08426"/></url>
<url><loc>https://scifaro.com/en/abs/sleep-staging-based-on-multi-scale-dual-attention-network-2107.08442</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sleep-staging-based-on-multi-scale-dual-attention-network-2107.08442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sleep-staging-based-on-multi-scale-dual-attention-network-2107.08442"/></url>
<url><loc>https://scifaro.com/en/abs/a-theory-of-pac-learnability-of-partial-concept-classes-2107.08444</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theory-of-pac-learnability-of-partial-concept-classes-2107.08444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theory-of-pac-learnability-of-partial-concept-classes-2107.08444"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-bayesian-neural-networks-on-accuracy-privacy-and-reliability-2107.08461</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-bayesian-neural-networks-on-accuracy-privacy-and-reliability-2107.08461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-bayesian-neural-networks-on-accuracy-privacy-and-reliability-2107.08461"/></url>
<url><loc>https://scifaro.com/en/abs/gotube-scalable-stochastic-verification-of-continuous-depth-models-2107.08467</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gotube-scalable-stochastic-verification-of-continuous-depth-models-2107.08467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gotube-scalable-stochastic-verification-of-continuous-depth-models-2107.08467"/></url>
<url><loc>https://scifaro.com/en/abs/a-stepped-sampling-method-for-video-detection-using-lstm-2107.08471</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stepped-sampling-method-for-video-detection-using-lstm-2107.08471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stepped-sampling-method-for-video-detection-using-lstm-2107.08471"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-the-article-on-exploiting-spectral-properties-for-solving-mdp-with-large-state-space-2107.08488</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-the-article-on-exploiting-spectral-properties-for-solving-mdp-with-large-state-space-2107.08488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-the-article-on-exploiting-spectral-properties-for-solving-mdp-with-large-state-space-2107.08488"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-federated-learning-of-deep-neural-networks-on-non-iid-data-2107.08517</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-federated-learning-of-deep-neural-networks-on-non-iid-data-2107.08517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-federated-learning-of-deep-neural-networks-on-non-iid-data-2107.08517"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-graph-auto-encoder-models-for-attributed-graph-clustering-2107.08562</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-graph-auto-encoder-models-for-attributed-graph-clustering-2107.08562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-graph-auto-encoder-models-for-attributed-graph-clustering-2107.08562"/></url>
<url><loc>https://scifaro.com/en/abs/structural-design-recommendations-in-the-early-design-phase-using-machine-learning-2107.08567</loc><lastmod>2022-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-design-recommendations-in-the-early-design-phase-using-machine-learning-2107.08567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-design-recommendations-in-the-early-design-phase-using-machine-learning-2107.08567"/></url>
<url><loc>https://scifaro.com/en/abs/early-phase-performance-driven-design-using-generative-models-2107.08572</loc><lastmod>2022-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-phase-performance-driven-design-using-generative-models-2107.08572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-phase-performance-driven-design-using-generative-models-2107.08572"/></url>
<url><loc>https://scifaro.com/en/abs/a-modulation-layer-to-increase-neural-network-robustness-against-data-quality-issues-2107.08574</loc><lastmod>2023-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-modulation-layer-to-increase-neural-network-robustness-against-data-quality-issues-2107.08574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-modulation-layer-to-increase-neural-network-robustness-against-data-quality-issues-2107.08574"/></url>
<url><loc>https://scifaro.com/en/abs/structured-world-belief-for-reinforcement-learning-in-pomdp-2107.08577</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-world-belief-for-reinforcement-learning-in-pomdp-2107.08577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-world-belief-for-reinforcement-learning-in-pomdp-2107.08577"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-ensemble-by-contextual-rank-aggregation-in-e-commerce-2107.08598</loc><lastmod>2023-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-ensemble-by-contextual-rank-aggregation-in-e-commerce-2107.08598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-ensemble-by-contextual-rank-aggregation-in-e-commerce-2107.08598"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-multi-task-reinforcement-learning-with-model-transfer-2107.08622</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-multi-task-reinforcement-learning-with-model-transfer-2107.08622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-multi-task-reinforcement-learning-with-model-transfer-2107.08622"/></url>
<url><loc>https://scifaro.com/en/abs/a-queueing-theoretic-framework-for-vehicle-dispatching-in-dynamic-car-hailing-technical-report-2107.08662</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-queueing-theoretic-framework-for-vehicle-dispatching-in-dynamic-car-hailing-technical-report-2107.08662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-queueing-theoretic-framework-for-vehicle-dispatching-in-dynamic-car-hailing-technical-report-2107.08662"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-distributed-method-for-training-generative-adversarial-networks-2107.08681</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-distributed-method-for-training-generative-adversarial-networks-2107.08681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-distributed-method-for-training-generative-adversarial-networks-2107.08681"/></url>
<url><loc>https://scifaro.com/en/abs/improved-learning-rates-for-stochastic-optimization-2107.08686</loc><lastmod>2026-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-learning-rates-for-stochastic-optimization-2107.08686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-learning-rates-for-stochastic-optimization-2107.08686"/></url>
<url><loc>https://scifaro.com/en/abs/long-term-series-forecasting-with-query-selector-efficient-model-of-sparse-attention-2107.08687</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-term-series-forecasting-with-query-selector-efficient-model-of-sparse-attention-2107.08687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-term-series-forecasting-with-query-selector-efficient-model-of-sparse-attention-2107.08687"/></url>
<url><loc>https://scifaro.com/en/abs/dice4el-interpreting-process-predictions-using-a-milestone-aware-counterfactual-approach-2107.08697</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dice4el-interpreting-process-predictions-using-a-milestone-aware-counterfactual-approach-2107.08697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dice4el-interpreting-process-predictions-using-a-milestone-aware-counterfactual-approach-2107.08697"/></url>
<url><loc>https://scifaro.com/en/abs/cetransformer-casual-effect-estimation-via-transformer-based-representation-learning-2107.08714</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cetransformer-casual-effect-estimation-via-transformer-based-representation-learning-2107.08714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cetransformer-casual-effect-estimation-via-transformer-based-representation-learning-2107.08714"/></url>
<url><loc>https://scifaro.com/en/abs/attribution-of-predictive-uncertainties-in-classification-models-2107.08756</loc><lastmod>2022-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attribution-of-predictive-uncertainties-in-classification-models-2107.08756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attribution-of-predictive-uncertainties-in-classification-models-2107.08756"/></url>
<url><loc>https://scifaro.com/en/abs/experimental-investigation-and-evaluation-of-model-based-hyperparameter-optimization-2107.08761</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/experimental-investigation-and-evaluation-of-model-based-hyperparameter-optimization-2107.08761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/experimental-investigation-and-evaluation-of-model-based-hyperparameter-optimization-2107.08761"/></url>
<url><loc>https://scifaro.com/en/abs/renyi-differential-privacy-of-the-subsampled-shuffle-model-in-distributed-learning-2107.08763</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/renyi-differential-privacy-of-the-subsampled-shuffle-model-in-distributed-learning-2107.08763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/renyi-differential-privacy-of-the-subsampled-shuffle-model-in-distributed-learning-2107.08763"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-transfer-learning-on-graph-neural-networks-2107.08765</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-transfer-learning-on-graph-neural-networks-2107.08765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-transfer-learning-on-graph-neural-networks-2107.08765"/></url>
<url><loc>https://scifaro.com/en/abs/learning-attributed-graph-representations-with-communicative-message-passing-transformer-2107.08773</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-attributed-graph-representations-with-communicative-message-passing-transformer-2107.08773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-attributed-graph-representations-with-communicative-message-passing-transformer-2107.08773"/></url>
<url><loc>https://scifaro.com/en/abs/boost-r-gradient-boosted-trees-for-recurrence-data-2107.08784</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boost-r-gradient-boosted-trees-for-recurrence-data-2107.08784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boost-r-gradient-boosted-trees-for-recurrence-data-2107.08784"/></url>
<url><loc>https://scifaro.com/en/abs/on-out-of-distribution-detection-with-energy-based-models-2107.08785</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-out-of-distribution-detection-with-energy-based-models-2107.08785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-out-of-distribution-detection-with-energy-based-models-2107.08785"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-based-on-multiple-hypothesis-autoencoder-2107.08790</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-based-on-multiple-hypothesis-autoencoder-2107.08790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-based-on-multiple-hypothesis-autoencoder-2107.08790"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-stability-in-training-conditional-generative-adversarial-networks-via-selective-data-matching-2107.08792</loc><lastmod>2024-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-stability-in-training-conditional-generative-adversarial-networks-via-selective-data-matching-2107.08792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-stability-in-training-conditional-generative-adversarial-networks-via-selective-data-matching-2107.08792"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-dynamic-transformer-for-text-to-speech-2107.08795</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-dynamic-transformer-for-text-to-speech-2107.08795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-dynamic-transformer-for-text-to-speech-2107.08795"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-with-nonsmooth-objectives-2107.08800</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-with-nonsmooth-objectives-2107.08800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-with-nonsmooth-objectives-2107.08800"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-the-convergence-of-reinforcement-learning-based-auto-pruning-using-historical-data-2107.08815</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-the-convergence-of-reinforcement-learning-based-auto-pruning-using-historical-data-2107.08815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-the-convergence-of-reinforcement-learning-based-auto-pruning-using-historical-data-2107.08815"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-prediction-of-emergence-of-extreme-events-in-a-parametrically-driven-nonlinear-dynamical-system-by-deep-learning-2107.08819</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-prediction-of-emergence-of-extreme-events-in-a-parametrically-driven-nonlinear-dynamical-system-by-deep-learning-2107.08819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-prediction-of-emergence-of-extreme-events-in-a-parametrically-driven-nonlinear-dynamical-system-by-deep-learning-2107.08819"/></url>
<url><loc>https://scifaro.com/en/abs/proceedings-of-icml-2021-workshop-on-theoretic-foundation-criticism-and-application-trend-of-explainable-ai-2107.08821</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proceedings-of-icml-2021-workshop-on-theoretic-foundation-criticism-and-application-trend-of-explainable-ai-2107.08821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proceedings-of-icml-2021-workshop-on-theoretic-foundation-criticism-and-application-trend-of-explainable-ai-2107.08821"/></url>
<url><loc>https://scifaro.com/en/abs/one-class-classification-for-wafer-map-using-adversarial-autoencoder-with-dsvdd-prior-2107.08823</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-class-classification-for-wafer-map-using-adversarial-autoencoder-with-dsvdd-prior-2107.08823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-class-classification-for-wafer-map-using-adversarial-autoencoder-with-dsvdd-prior-2107.08823"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-education-opportunities-and-challenges-2107.08828</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-education-opportunities-and-challenges-2107.08828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-education-opportunities-and-challenges-2107.08828"/></url>
<url><loc>https://scifaro.com/en/abs/visual-adversarial-imitation-learning-using-variational-models-2107.08829</loc><lastmod>2022-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visual-adversarial-imitation-learning-using-variational-models-2107.08829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visual-adversarial-imitation-learning-using-variational-models-2107.08829"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-anomaly-detection-for-smart-grids-a-survey-2107.08835</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-anomaly-detection-for-smart-grids-a-survey-2107.08835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-anomaly-detection-for-smart-grids-a-survey-2107.08835"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-efficacy-of-neural-networks-for-trajectory-compression-and-the-inverse-problem-2107.08849</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-efficacy-of-neural-networks-for-trajectory-compression-and-the-inverse-problem-2107.08849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-efficacy-of-neural-networks-for-trajectory-compression-and-the-inverse-problem-2107.08849"/></url>
<url><loc>https://scifaro.com/en/abs/volcanoml-speeding-up-end-to-end-automl-via-scalable-search-space-decomposition-2107.08861</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/volcanoml-speeding-up-end-to-end-automl-via-scalable-search-space-decomposition-2107.08861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/volcanoml-speeding-up-end-to-end-automl-via-scalable-search-space-decomposition-2107.08861"/></url>
<url><loc>https://scifaro.com/en/abs/ringfed-reducing-communication-costs-in-federated-learning-on-non-iid-data-2107.08873</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ringfed-reducing-communication-costs-in-federated-learning-on-non-iid-data-2107.08873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ringfed-reducing-communication-costs-in-federated-learning-on-non-iid-data-2107.08873"/></url>
<url><loc>https://scifaro.com/en/abs/reasoning-modulated-representations-2107.08881</loc><lastmod>2022-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reasoning-modulated-representations-2107.08881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reasoning-modulated-representations-2107.08881"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-reward-shaping-for-efficient-exploration-in-reinforcement-learning-2107.08888</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-reward-shaping-for-efficient-exploration-in-reinforcement-learning-2107.08888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-reward-shaping-for-efficient-exploration-in-reinforcement-learning-2107.08888"/></url>
<url><loc>https://scifaro.com/en/abs/epistemic-neural-networks-2107.08924</loc><lastmod>2023-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/epistemic-neural-networks-2107.08924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/epistemic-neural-networks-2107.08924"/></url>
<url><loc>https://scifaro.com/en/abs/introducing-a-family-of-synthetic-datasets-for-research-on-bias-in-machine-learning-2107.08928</loc><lastmod>2021-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introducing-a-family-of-synthetic-datasets-for-research-on-bias-in-machine-learning-2107.08928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introducing-a-family-of-synthetic-datasets-for-research-on-bias-in-machine-learning-2107.08928"/></url>
<url><loc>https://scifaro.com/en/abs/decoupled-reinforcement-learning-to-stabilise-intrinsically-motivated-exploration-2107.08966</loc><lastmod>2022-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupled-reinforcement-learning-to-stabilise-intrinsically-motivated-exploration-2107.08966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupled-reinforcement-learning-to-stabilise-intrinsically-motivated-exploration-2107.08966"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-few-shot-imitation-with-skill-transition-models-2107.08981</loc><lastmod>2022-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-few-shot-imitation-with-skill-transition-models-2107.08981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-few-shot-imitation-with-skill-transition-models-2107.08981"/></url>
<url><loc>https://scifaro.com/en/abs/an-analysis-of-reinforcement-learning-for-malaria-control-2107.08988</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analysis-of-reinforcement-learning-for-malaria-control-2107.08988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analysis-of-reinforcement-learning-for-malaria-control-2107.08988"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-struggles-with-agency-on-online-platforms-2107.08995</loc><lastmod>2022-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-struggles-with-agency-on-online-platforms-2107.08995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-struggles-with-agency-on-online-platforms-2107.08995"/></url>
<url><loc>https://scifaro.com/en/abs/constraints-penalized-q-learning-for-safe-offline-reinforcement-learning-2107.09003</loc><lastmod>2022-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constraints-penalized-q-learning-for-safe-offline-reinforcement-learning-2107.09003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constraints-penalized-q-learning-for-safe-offline-reinforcement-learning-2107.09003"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-the-final-rank-of-players-in-pubg-with-the-optimal-number-of-features-2107.09016</loc><lastmod>2021-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-the-final-rank-of-players-in-pubg-with-the-optimal-number-of-features-2107.09016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-the-final-rank-of-players-in-pubg-with-the-optimal-number-of-features-2107.09016"/></url>
<url><loc>https://scifaro.com/en/abs/structured-stochastic-gradient-mcmc-2107.09028</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structured-stochastic-gradient-mcmc-2107.09028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structured-stochastic-gradient-mcmc-2107.09028"/></url>
<url><loc>https://scifaro.com/en/abs/topological-attention-for-time-series-forecasting-2107.09031</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-attention-for-time-series-forecasting-2107.09031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-attention-for-time-series-forecasting-2107.09031"/></url>
<url><loc>https://scifaro.com/en/abs/just-train-twice-improving-group-robustness-without-training-group-information-2107.09044</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/just-train-twice-improving-group-robustness-without-training-group-information-2107.09044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/just-train-twice-improving-group-robustness-without-training-group-information-2107.09044"/></url>
<url><loc>https://scifaro.com/en/abs/know-thyself-transferable-visual-control-policies-through-robot-awareness-2107.09047</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/know-thyself-transferable-visual-control-policies-through-robot-awareness-2107.09047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/know-thyself-transferable-visual-control-policies-through-robot-awareness-2107.09047"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-clustering-based-technique-for-the-acceleration-of-deep-convolutional-networks-2107.09095</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-clustering-based-technique-for-the-acceleration-of-deep-convolutional-networks-2107.09095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-clustering-based-technique-for-the-acceleration-of-deep-convolutional-networks-2107.09095"/></url>
<url><loc>https://scifaro.com/en/abs/onlinestl-scaling-time-series-decomposition-by-100x-2107.09110</loc><lastmod>2022-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/onlinestl-scaling-time-series-decomposition-by-100x-2107.09110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/onlinestl-scaling-time-series-decomposition-by-100x-2107.09110"/></url>
<url><loc>https://scifaro.com/en/abs/latency-memory-optimized-splitting-of-convolution-neural-networks-for-resource-constrained-edge-devices-2107.09123</loc><lastmod>2022-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latency-memory-optimized-splitting-of-convolution-neural-networks-for-resource-constrained-edge-devices-2107.09123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latency-memory-optimized-splitting-of-convolution-neural-networks-for-resource-constrained-edge-devices-2107.09123"/></url>
<url><loc>https://scifaro.com/en/abs/the-limiting-dynamics-of-sgd-modified-loss-phase-space-oscillations-and-anomalous-diffusion-2107.09133</loc><lastmod>2023-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-limiting-dynamics-of-sgd-modified-loss-phase-space-oscillations-and-anomalous-diffusion-2107.09133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-limiting-dynamics-of-sgd-modified-loss-phase-space-oscillations-and-anomalous-diffusion-2107.09133"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-policy-gradient-method-for-safe-and-fast-reinforcement-learning-a-neural-tangent-kernel-based-approach-2107.09139</loc><lastmod>2022-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-policy-gradient-method-for-safe-and-fast-reinforcement-learning-a-neural-tangent-kernel-based-approach-2107.09139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-policy-gradient-method-for-safe-and-fast-reinforcement-learning-a-neural-tangent-kernel-based-approach-2107.09139"/></url>
<url><loc>https://scifaro.com/en/abs/wave-informed-matrix-factorization-with-global-optimality-guarantees-2107.09144</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wave-informed-matrix-factorization-with-global-optimality-guarantees-2107.09144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wave-informed-matrix-factorization-with-global-optimality-guarantees-2107.09144"/></url>
<url><loc>https://scifaro.com/en/abs/improving-exploration-in-policy-gradient-search-application-to-symbolic-optimization-2107.09158</loc><lastmod>2022-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-exploration-in-policy-gradient-search-application-to-symbolic-optimization-2107.09158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-exploration-in-policy-gradient-search-application-to-symbolic-optimization-2107.09158"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-domain-knowledge-into-neural-guided-search-2107.09182</loc><lastmod>2022-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-domain-knowledge-into-neural-guided-search-2107.09182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-domain-knowledge-into-neural-guided-search-2107.09182"/></url>
<url><loc>https://scifaro.com/en/abs/wide-and-deep-graph-neural-network-with-distributed-online-learning-2107.09203</loc><lastmod>2022-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wide-and-deep-graph-neural-network-with-distributed-online-learning-2107.09203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wide-and-deep-graph-neural-network-with-distributed-online-learning-2107.09203"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-network-based-drug-repurposing-for-covid-19-2107.09217</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-network-based-drug-repurposing-for-covid-19-2107.09217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-network-based-drug-repurposing-for-covid-19-2107.09217"/></url>
<url><loc>https://scifaro.com/en/abs/from-predictions-to-decisions-the-importance-of-joint-predictive-distributions-2107.09224</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-predictions-to-decisions-the-importance-of-joint-predictive-distributions-2107.09224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-predictions-to-decisions-the-importance-of-joint-predictive-distributions-2107.09224"/></url>
<url><loc>https://scifaro.com/en/abs/shared-interest-measuring-human-ai-alignment-to-identify-recurring-patterns-in-model-behavior-2107.09234</loc><lastmod>2022-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shared-interest-measuring-human-ai-alignment-to-identify-recurring-patterns-in-model-behavior-2107.09234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shared-interest-measuring-human-ai-alignment-to-identify-recurring-patterns-in-model-behavior-2107.09234"/></url>
<url><loc>https://scifaro.com/en/abs/generative-video-transformer-can-objects-be-the-words-2107.09240</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-video-transformer-can-objects-be-the-words-2107.09240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-video-transformer-can-objects-be-the-words-2107.09240"/></url>
<url><loc>https://scifaro.com/en/abs/offline-preference-based-apprenticeship-learning-2107.09251</loc><lastmod>2022-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-preference-based-apprenticeship-learning-2107.09251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-preference-based-apprenticeship-learning-2107.09251"/></url>
<url><loc>https://scifaro.com/en/abs/active-operator-inference-for-learning-low-dimensional-dynamical-system-models-from-noisy-data-2107.09256</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-operator-inference-for-learning-low-dimensional-dynamical-system-models-from-noisy-data-2107.09256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-operator-inference-for-learning-low-dimensional-dynamical-system-models-from-noisy-data-2107.09256"/></url>
<url><loc>https://scifaro.com/en/abs/foleygan-visually-guided-generative-adversarial-network-based-synchronous-sound-generation-in-silent-videos-2107.09262</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/foleygan-visually-guided-generative-adversarial-network-based-synchronous-sound-generation-in-silent-videos-2107.09262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/foleygan-visually-guided-generative-adversarial-network-based-synchronous-sound-generation-in-silent-videos-2107.09262"/></url>
<url><loc>https://scifaro.com/en/abs/bype-vae-bayesian-pseudocoresets-exemplar-vae-2107.09286</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bype-vae-bayesian-pseudocoresets-exemplar-vae-2107.09286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bype-vae-bayesian-pseudocoresets-exemplar-vae-2107.09286"/></url>
<url><loc>https://scifaro.com/en/abs/follow-your-path-a-progressive-method-for-knowledge-distillation-2107.09305</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/follow-your-path-a-progressive-method-for-knowledge-distillation-2107.09305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/follow-your-path-a-progressive-method-for-knowledge-distillation-2107.09305"/></url>
<url><loc>https://scifaro.com/en/abs/lens-layer-distribution-enabled-neural-architecture-search-in-edge-cloud-hierarchies-2107.09309</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lens-layer-distribution-enabled-neural-architecture-search-in-edge-cloud-hierarchies-2107.09309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lens-layer-distribution-enabled-neural-architecture-search-in-edge-cloud-hierarchies-2107.09309"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-for-credit-card-fraud-detection-a-journey-from-research-to-production-2107.09323</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-for-credit-card-fraud-detection-a-journey-from-research-to-production-2107.09323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-for-credit-card-fraud-detection-a-journey-from-research-to-production-2107.09323"/></url>
<url><loc>https://scifaro.com/en/abs/stein-variational-gradient-descent-with-multiple-kernel-2107.09338</loc><lastmod>2022-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stein-variational-gradient-descent-with-multiple-kernel-2107.09338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stein-variational-gradient-descent-with-multiple-kernel-2107.09338"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-theory-of-convolutional-architectures-for-time-series-modelling-2107.09355</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-theory-of-convolutional-architectures-for-time-series-modelling-2107.09355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-theory-of-convolutional-architectures-for-time-series-modelling-2107.09355"/></url>
<url><loc>https://scifaro.com/en/abs/toward-collaborative-reinforcement-learning-agents-that-communicate-through-text-based-natural-language-2107.09356</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-collaborative-reinforcement-learning-agents-that-communicate-through-text-based-natural-language-2107.09356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-collaborative-reinforcement-learning-agents-that-communicate-through-text-based-natural-language-2107.09356"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-analysis-of-measure-valued-derivatives-for-policy-gradients-2107.09359</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-analysis-of-measure-valued-derivatives-for-policy-gradients-2107.09359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-analysis-of-measure-valued-derivatives-for-policy-gradients-2107.09359"/></url>
<url><loc>https://scifaro.com/en/abs/an-embedding-of-relu-networks-and-an-analysis-of-their-identifiability-2107.09370</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-embedding-of-relu-networks-and-an-analysis-of-their-identifiability-2107.09370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-embedding-of-relu-networks-and-an-analysis-of-their-identifiability-2107.09370"/></url>
<url><loc>https://scifaro.com/en/abs/algorithm-selection-on-a-meta-level-2107.09414</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithm-selection-on-a-meta-level-2107.09414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithm-selection-on-a-meta-level-2107.09414"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-graph-representation-learning-with-very-deep-gnns-and-self-supervision-2107.09422</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-graph-representation-learning-with-very-deep-gnns-and-self-supervision-2107.09422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-graph-representation-learning-with-very-deep-gnns-and-self-supervision-2107.09422"/></url>
<url><loc>https://scifaro.com/en/abs/edge-of-chaos-as-a-guiding-principle-for-modern-neural-network-training-2107.09437</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edge-of-chaos-as-a-guiding-principle-for-modern-neural-network-training-2107.09437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edge-of-chaos-as-a-guiding-principle-for-modern-neural-network-training-2107.09437"/></url>
<url><loc>https://scifaro.com/en/abs/canita-faster-rates-for-distributed-convex-optimization-with-communication-compression-2107.09461</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/canita-faster-rates-for-distributed-convex-optimization-with-communication-compression-2107.09461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/canita-faster-rates-for-distributed-convex-optimization-with-communication-compression-2107.09461"/></url>
<url><loc>https://scifaro.com/en/abs/significant-wave-height-prediction-based-on-wavelet-graph-neural-network-2107.09483</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/significant-wave-height-prediction-based-on-wavelet-graph-neural-network-2107.09483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/significant-wave-height-prediction-based-on-wavelet-graph-neural-network-2107.09483"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-friction-system-performance-with-symbolic-regression-and-genetic-programming-with-factor-variables-2107.09484</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-friction-system-performance-with-symbolic-regression-and-genetic-programming-with-factor-variables-2107.09484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-friction-system-performance-with-symbolic-regression-and-genetic-programming-with-factor-variables-2107.09484"/></url>
<url><loc>https://scifaro.com/en/abs/feature-filter-detecting-adversarial-examples-through-filtering-off-recessive-features-2107.09502</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-filter-detecting-adversarial-examples-through-filtering-off-recessive-features-2107.09502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-filter-detecting-adversarial-examples-through-filtering-off-recessive-features-2107.09502"/></url>
<url><loc>https://scifaro.com/en/abs/parametric-scattering-networks-2107.09539</loc><lastmod>2022-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parametric-scattering-networks-2107.09539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parametric-scattering-networks-2107.09539"/></url>
<url><loc>https://scifaro.com/en/abs/open-problem-is-there-an-online-learning-algorithm-that-learns-whenever-online-learning-is-possible-2107.09542</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-problem-is-there-an-online-learning-algorithm-that-learns-whenever-online-learning-is-possible-2107.09542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-problem-is-there-an-online-learning-algorithm-that-learns-whenever-online-learning-is-possible-2107.09542"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-driver-takeover-time-in-conditionally-automated-driving-2107.09545</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-driver-takeover-time-in-conditionally-automated-driving-2107.09545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-driver-takeover-time-in-conditionally-automated-driving-2107.09545"/></url>
<url><loc>https://scifaro.com/en/abs/responsible-and-regulatory-conform-machine-learning-for-medicine-a-survey-of-challenges-and-solutions-2107.09546</loc><lastmod>2022-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/responsible-and-regulatory-conform-machine-learning-for-medicine-a-survey-of-challenges-and-solutions-2107.09546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/responsible-and-regulatory-conform-machine-learning-for-medicine-a-survey-of-challenges-and-solutions-2107.09546"/></url>
<url><loc>https://scifaro.com/en/abs/mining-topological-dependencies-of-recurrent-congestion-in-road-networks-2107.09554</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-topological-dependencies-of-recurrent-congestion-in-road-networks-2107.09554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-topological-dependencies-of-recurrent-congestion-in-road-networks-2107.09554"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-generalization-under-out-of-distribution-shifts-in-deep-metric-learning-2107.09562</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-generalization-under-out-of-distribution-shifts-in-deep-metric-learning-2107.09562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-generalization-under-out-of-distribution-shifts-in-deep-metric-learning-2107.09562"/></url>
<url><loc>https://scifaro.com/en/abs/best-of-all-worlds-bounds-for-online-learning-with-feedback-graphs-2107.09572</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-of-all-worlds-bounds-for-online-learning-with-feedback-graphs-2107.09572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-of-all-worlds-bounds-for-online-learning-with-feedback-graphs-2107.09572"/></url>
<url><loc>https://scifaro.com/en/abs/precision-weighted-federated-learning-2107.09627</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/precision-weighted-federated-learning-2107.09627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/precision-weighted-federated-learning-2107.09627"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-policy-optimization-for-tracking-control-exploiting-future-reference-information-2107.09647</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-policy-optimization-for-tracking-control-exploiting-future-reference-information-2107.09647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-policy-optimization-for-tracking-control-exploiting-future-reference-information-2107.09647"/></url>
<url><loc>https://scifaro.com/en/abs/learn2hop-learned-optimization-on-rough-landscapes-2107.09661</loc><lastmod>2021-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn2hop-learned-optimization-on-rough-landscapes-2107.09661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn2hop-learned-optimization-on-rough-landscapes-2107.09661"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-classification-aware-quantization-2107.09716</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-classification-aware-quantization-2107.09716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-classification-aware-quantization-2107.09716"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-approaches-to-automated-flow-cytometry-diagnosis-of-chronic-lymphocytic-leukemia-2107.09728</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-approaches-to-automated-flow-cytometry-diagnosis-of-chronic-lymphocytic-leukemia-2107.09728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-approaches-to-automated-flow-cytometry-diagnosis-of-chronic-lymphocytic-leukemia-2107.09728"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-estimation-and-out-of-distribution-detection-for-counterfactual-explanations-pitfalls-and-solutions-2107.09734</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-estimation-and-out-of-distribution-detection-for-counterfactual-explanations-pitfalls-and-solutions-2107.09734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-estimation-and-out-of-distribution-detection-for-counterfactual-explanations-pitfalls-and-solutions-2107.09734"/></url>
<url><loc>https://scifaro.com/en/abs/knet-a-deep-knn-network-to-handle-label-noise-2107.09735</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knet-a-deep-knn-network-to-handle-label-noise-2107.09735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knet-a-deep-knn-network-to-handle-label-noise-2107.09735"/></url>
<url><loc>https://scifaro.com/en/abs/checkovid-a-covid-19-misinformation-detection-system-on-twitter-using-network-and-content-mining-perspectives-2107.09768</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/checkovid-a-covid-19-misinformation-detection-system-on-twitter-using-network-and-content-mining-perspectives-2107.09768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/checkovid-a-covid-19-misinformation-detection-system-on-twitter-using-network-and-content-mining-perspectives-2107.09768"/></url>
<url><loc>https://scifaro.com/en/abs/faster-matchings-via-learned-duals-2107.09770</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-matchings-via-learned-duals-2107.09770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-matchings-via-learned-duals-2107.09770"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-estimation-from-dependent-data-2107.09773</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-estimation-from-dependent-data-2107.09773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-estimation-from-dependent-data-2107.09773"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-multivariate-time-series-forecasting-in-iot-applications-using-embedding-non-stationary-fuzzy-time-series-2107.09785</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-multivariate-time-series-forecasting-in-iot-applications-using-embedding-non-stationary-fuzzy-time-series-2107.09785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-multivariate-time-series-forecasting-in-iot-applications-using-embedding-non-stationary-fuzzy-time-series-2107.09785"/></url>
<url><loc>https://scifaro.com/en/abs/communication-and-computation-reduction-for-split-learning-using-asynchronous-training-2107.09786</loc><lastmod>2022-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-and-computation-reduction-for-split-learning-using-asynchronous-training-2107.09786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-and-computation-reduction-for-split-learning-using-asynchronous-training-2107.09786"/></url>
<url><loc>https://scifaro.com/en/abs/group-contrastive-self-supervised-learning-on-graphs-2107.09787</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-contrastive-self-supervised-learning-on-graphs-2107.09787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-contrastive-self-supervised-learning-on-graphs-2107.09787"/></url>
<url><loc>https://scifaro.com/en/abs/private-alternating-least-squares-practical-private-matrix-completion-with-tighter-rates-2107.09802</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-alternating-least-squares-practical-private-matrix-completion-with-tighter-rates-2107.09802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-alternating-least-squares-practical-private-matrix-completion-with-tighter-rates-2107.09802"/></url>
<url><loc>https://scifaro.com/en/abs/ecg-heartbeat-classification-using-multimodal-fusion-2107.09869</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ecg-heartbeat-classification-using-multimodal-fusion-2107.09869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ecg-heartbeat-classification-using-multimodal-fusion-2107.09869"/></url>
<url><loc>https://scifaro.com/en/abs/mg-net-leveraging-pseudo-imaging-for-multi-modal-metagenome-analysis-2107.09883</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mg-net-leveraging-pseudo-imaging-for-multi-modal-metagenome-analysis-2107.09883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mg-net-leveraging-pseudo-imaging-for-multi-modal-metagenome-analysis-2107.09883"/></url>
<url><loc>https://scifaro.com/en/abs/defending-against-reconstruction-attack-in-vertical-federated-learning-2107.09898</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defending-against-reconstruction-attack-in-vertical-federated-learning-2107.09898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defending-against-reconstruction-attack-in-vertical-federated-learning-2107.09898"/></url>
<url><loc>https://scifaro.com/en/abs/integration-of-autoencoder-and-functional-link-artificial-neural-network-for-multi-label-classification-2107.09904</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integration-of-autoencoder-and-functional-link-artificial-neural-network-for-multi-label-classification-2107.09904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integration-of-autoencoder-and-functional-link-artificial-neural-network-for-multi-label-classification-2107.09904"/></url>
<url><loc>https://scifaro.com/en/abs/design-of-experiments-for-stochastic-contextual-linear-bandits-2107.09912</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/design-of-experiments-for-stochastic-contextual-linear-bandits-2107.09912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/design-of-experiments-for-stochastic-contextual-linear-bandits-2107.09912"/></url>
<url><loc>https://scifaro.com/en/abs/glime-a-new-graphical-methodology-for-interpretable-model-agnostic-explanations-2107.09927</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/glime-a-new-graphical-methodology-for-interpretable-model-agnostic-explanations-2107.09927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/glime-a-new-graphical-methodology-for-interpretable-model-agnostic-explanations-2107.09927"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-scalable-adversarial-training-of-kernel-svm-via-doubly-stochastic-gradients-2107.09937</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-scalable-adversarial-training-of-kernel-svm-via-doubly-stochastic-gradients-2107.09937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-scalable-adversarial-training-of-kernel-svm-via-doubly-stochastic-gradients-2107.09937"/></url>
<url><loc>https://scifaro.com/en/abs/preventing-dataset-shift-from-breaking-machine-learning-biomarkers-2107.09947</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preventing-dataset-shift-from-breaking-machine-learning-biomarkers-2107.09947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preventing-dataset-shift-from-breaking-machine-learning-biomarkers-2107.09947"/></url>
<url><loc>https://scifaro.com/en/abs/online-structural-kernel-selection-for-mobile-health-2107.09949</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-structural-kernel-selection-for-mobile-health-2107.09949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-structural-kernel-selection-for-mobile-health-2107.09949"/></url>
<url><loc>https://scifaro.com/en/abs/boundary-of-distribution-support-generator-bdsg-sample-generation-on-the-boundary-2107.09950</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boundary-of-distribution-support-generator-bdsg-sample-generation-on-the-boundary-2107.09950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boundary-of-distribution-support-generator-bdsg-sample-generation-on-the-boundary-2107.09950"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-temporal-data-representation-in-electronic-health-records-a-systematic-review-of-challenges-and-methodologies-2107.09951</loc><lastmod>2024-06-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-temporal-data-representation-in-electronic-health-records-a-systematic-review-of-challenges-and-methodologies-2107.09951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-temporal-data-representation-in-electronic-health-records-a-systematic-review-of-challenges-and-methodologies-2107.09951"/></url>
<url><loc>https://scifaro.com/en/abs/memorization-in-deep-neural-networks-does-the-loss-function-matter-2107.09957</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memorization-in-deep-neural-networks-does-the-loss-function-matter-2107.09957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memorization-in-deep-neural-networks-does-the-loss-function-matter-2107.09957"/></url>
<url><loc>https://scifaro.com/en/abs/relational-graph-convolutional-networks-a-closer-look-2107.10015</loc><lastmod>2022-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-graph-convolutional-networks-a-closer-look-2107.10015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-graph-convolutional-networks-a-closer-look-2107.10015"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-feature-selection-a-reparameterization-approach-2107.10030</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-feature-selection-a-reparameterization-approach-2107.10030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-feature-selection-a-reparameterization-approach-2107.10030"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-gans-with-auxiliary-discriminative-classifier-2107.10060</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-gans-with-auxiliary-discriminative-classifier-2107.10060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-gans-with-auxiliary-discriminative-classifier-2107.10060"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-diffusion-score-matching-using-normalizing-flow-2107.10072</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-diffusion-score-matching-using-normalizing-flow-2107.10072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-diffusion-score-matching-using-normalizing-flow-2107.10072"/></url>
<url><loc>https://scifaro.com/en/abs/incentivizing-compliance-with-algorithmic-instruments-2107.10093</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incentivizing-compliance-with-algorithmic-instruments-2107.10093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incentivizing-compliance-with-algorithmic-instruments-2107.10093"/></url>
<url><loc>https://scifaro.com/en/abs/training-electric-vehicle-charging-controllers-with-imitation-learning-2107.10111</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-electric-vehicle-charging-controllers-with-imitation-learning-2107.10111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-electric-vehicle-charging-controllers-with-imitation-learning-2107.10111"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-memorization-properties-of-contrastive-learning-2107.10143</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-memorization-properties-of-contrastive-learning-2107.10143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-memorization-properties-of-contrastive-learning-2107.10143"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-reinforcement-learning-approach-for-fair-traffic-signal-control-2107.10146</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-reinforcement-learning-approach-for-fair-traffic-signal-control-2107.10146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-reinforcement-learning-approach-for-fair-traffic-signal-control-2107.10146"/></url>
<url><loc>https://scifaro.com/en/abs/leave-one-out-unfairness-2107.10171</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leave-one-out-unfairness-2107.10171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leave-one-out-unfairness-2107.10171"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-without-model-transferring-2107.10174</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-without-model-transferring-2107.10174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-without-model-transferring-2107.10174"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-of-classification-margins-are-all-data-equal-2107.10199</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-of-classification-margins-are-all-data-equal-2107.10199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-of-classification-margins-are-all-data-equal-2107.10199"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-algorithms-for-learning-depth-2-neural-networks-with-general-relu-activations-2107.10209</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-algorithms-for-learning-depth-2-neural-networks-with-general-relu-activations-2107.10209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-algorithms-for-learning-depth-2-neural-networks-with-general-relu-activations-2107.10209"/></url>
<url><loc>https://scifaro.com/en/abs/bridging-the-gap-between-spatial-and-spectral-domains-a-unified-framework-for-graph-neural-networks-2107.10234</loc><lastmod>2023-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridging-the-gap-between-spatial-and-spectral-domains-a-unified-framework-for-graph-neural-networks-2107.10234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridging-the-gap-between-spatial-and-spectral-domains-a-unified-framework-for-graph-neural-networks-2107.10234"/></url>
<url><loc>https://scifaro.com/en/abs/using-system-context-information-to-complement-weakly-labeled-data-2107.10236</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-system-context-information-to-complement-weakly-labeled-data-2107.10236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-system-context-information-to-complement-weakly-labeled-data-2107.10236"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-real-world-evidence-analysis-of-covid-19-pharmacotherapy-2107.10239</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-real-world-evidence-analysis-of-covid-19-pharmacotherapy-2107.10239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-real-world-evidence-analysis-of-covid-19-pharmacotherapy-2107.10239"/></url>
<url><loc>https://scifaro.com/en/abs/demonstration-guided-reinforcement-learning-with-learned-skills-2107.10253</loc><lastmod>2021-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demonstration-guided-reinforcement-learning-with-learned-skills-2107.10253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demonstration-guided-reinforcement-learning-with-learned-skills-2107.10253"/></url>
<url><loc>https://scifaro.com/en/abs/neural-fixed-point-acceleration-for-convex-optimization-2107.10254</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-fixed-point-acceleration-for-convex-optimization-2107.10254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-fixed-point-acceleration-for-convex-optimization-2107.10254"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-power-electronics-device-reliability-under-extreme-conditions-with-machine-learning-algorithms-2107.10292</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-power-electronics-device-reliability-under-extreme-conditions-with-machine-learning-algorithms-2107.10292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-power-electronics-device-reliability-under-extreme-conditions-with-machine-learning-algorithms-2107.10292"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-some-techniques-for-inclusion-of-domain-knowledge-into-deep-neural-networks-2107.10295</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-some-techniques-for-inclusion-of-domain-knowledge-into-deep-neural-networks-2107.10295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-some-techniques-for-inclusion-of-domain-knowledge-into-deep-neural-networks-2107.10295"/></url>
<url><loc>https://scifaro.com/en/abs/small-text-active-learning-for-text-classification-in-python-2107.10314</loc><lastmod>2023-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-text-active-learning-for-text-classification-in-python-2107.10314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-text-active-learning-for-text-classification-in-python-2107.10314"/></url>
<url><loc>https://scifaro.com/en/abs/analytic-study-of-families-of-spurious-minima-in-two-layer-relu-neural-networks-a-tale-of-symmetry-ii-2107.10370</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analytic-study-of-families-of-spurious-minima-in-two-layer-relu-neural-networks-a-tale-of-symmetry-ii-2107.10370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analytic-study-of-families-of-spurious-minima-in-two-layer-relu-neural-networks-a-tale-of-symmetry-ii-2107.10370"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-based-uncertainty-quantification-bayesian-versus-credal-inference-2107.10384</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-based-uncertainty-quantification-bayesian-versus-credal-inference-2107.10384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-based-uncertainty-quantification-bayesian-versus-credal-inference-2107.10384"/></url>
<url><loc>https://scifaro.com/en/abs/improving-covid-19-forecasting-using-exogenous-variables-2107.10397</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-covid-19-forecasting-using-exogenous-variables-2107.10397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-covid-19-forecasting-using-exogenous-variables-2107.10397"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-use-of-time-series-kernel-and-dimensionality-reduction-to-identify-the-acquisition-of-antimicrobial-multidrug-resistance-in-the-intensive-care-unit-2107.10398</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-use-of-time-series-kernel-and-dimensionality-reduction-to-identify-the-acquisition-of-antimicrobial-multidrug-resistance-in-the-intensive-care-unit-2107.10398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-use-of-time-series-kernel-and-dimensionality-reduction-to-identify-the-acquisition-of-antimicrobial-multidrug-resistance-in-the-intensive-care-unit-2107.10398"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-machine-learning-induced-overdiagnosis-in-sepsis-2107.10399</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-machine-learning-induced-overdiagnosis-in-sepsis-2107.10399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-machine-learning-induced-overdiagnosis-in-sepsis-2107.10399"/></url>
<url><loc>https://scifaro.com/en/abs/species-distribution-modeling-for-machine-learning-practitioners-a-review-2107.10400</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/species-distribution-modeling-for-machine-learning-practitioners-a-review-2107.10400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/species-distribution-modeling-for-machine-learning-practitioners-a-review-2107.10400"/></url>
<url><loc>https://scifaro.com/en/abs/tri-branch-convolutional-neural-networks-for-top-k-focused-academic-performance-prediction-2107.10424</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tri-branch-convolutional-neural-networks-for-top-k-focused-academic-performance-prediction-2107.10424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tri-branch-convolutional-neural-networks-for-top-k-focused-academic-performance-prediction-2107.10424"/></url>
<url><loc>https://scifaro.com/en/abs/deep-adaptive-arbitrary-polynomial-chaos-expansion-a-mini-data-driven-semi-supervised-method-for-uncertainty-quantification-2107.10428</loc><lastmod>2022-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-adaptive-arbitrary-polynomial-chaos-expansion-a-mini-data-driven-semi-supervised-method-for-uncertainty-quantification-2107.10428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-adaptive-arbitrary-polynomial-chaos-expansion-a-mini-data-driven-semi-supervised-method-for-uncertainty-quantification-2107.10428"/></url>
<url><loc>https://scifaro.com/en/abs/improve-learning-from-crowds-via-generative-augmentation-2107.10449</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improve-learning-from-crowds-via-generative-augmentation-2107.10449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improve-learning-from-crowds-via-generative-augmentation-2107.10449"/></url>
<url><loc>https://scifaro.com/en/abs/ready-for-emerging-threats-to-recommender-systems-a-graph-convolution-based-generative-shilling-attack-2107.10457</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ready-for-emerging-threats-to-recommender-systems-a-graph-convolution-based-generative-shilling-attack-2107.10457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ready-for-emerging-threats-to-recommender-systems-a-graph-convolution-based-generative-shilling-attack-2107.10457"/></url>
<url><loc>https://scifaro.com/en/abs/inter-and-intra-annual-spatio-temporal-variability-of-habitat-suitability-for-asian-elephants-in-india-a-random-forest-model-based-analysis-2107.10478</loc><lastmod>2024-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inter-and-intra-annual-spatio-temporal-variability-of-habitat-suitability-for-asian-elephants-in-india-a-random-forest-model-based-analysis-2107.10478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inter-and-intra-annual-spatio-temporal-variability-of-habitat-suitability-for-asian-elephants-in-india-a-random-forest-model-based-analysis-2107.10478"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-detection-of-adversarial-examples-with-model-explanations-2107.10480</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-detection-of-adversarial-examples-with-model-explanations-2107.10480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-detection-of-adversarial-examples-with-model-explanations-2107.10480"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-neural-causal-discovery-without-acyclicity-constraints-2107.10483</loc><lastmod>2022-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-neural-causal-discovery-without-acyclicity-constraints-2107.10483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-neural-causal-discovery-without-acyclicity-constraints-2107.10483"/></url>
<url><loc>https://scifaro.com/en/abs/neural-ordinary-differential-equation-model-for-evolutionary-subspace-clustering-and-its-applications-2107.10484</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-ordinary-differential-equation-model-for-evolutionary-subspace-clustering-and-its-applications-2107.10484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-ordinary-differential-equation-model-for-evolutionary-subspace-clustering-and-its-applications-2107.10484"/></url>
<url><loc>https://scifaro.com/en/abs/bandit-quickest-changepoint-detection-2107.10492</loc><lastmod>2023-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandit-quickest-changepoint-detection-2107.10492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandit-quickest-changepoint-detection-2107.10492"/></url>
<url><loc>https://scifaro.com/en/abs/abstract-reasoning-via-logic-guided-generation-2107.10493</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abstract-reasoning-via-logic-guided-generation-2107.10493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abstract-reasoning-via-logic-guided-generation-2107.10493"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-automl-frameworks-for-disease-prediction-using-medical-claims-2107.10495</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-automl-frameworks-for-disease-prediction-using-medical-claims-2107.10495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-automl-frameworks-for-disease-prediction-using-medical-claims-2107.10495"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-the-quality-of-finite-element-meshes-with-machine-learning-2107.10507</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-the-quality-of-finite-element-meshes-with-machine-learning-2107.10507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-the-quality-of-finite-element-meshes-with-machine-learning-2107.10507"/></url>
<url><loc>https://scifaro.com/en/abs/a-proactive-management-scheme-for-data-synopses-at-the-edge-2107.10558</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-proactive-management-scheme-for-data-synopses-at-the-edge-2107.10558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-proactive-management-scheme-for-data-synopses-at-the-edge-2107.10558"/></url>
<url><loc>https://scifaro.com/en/abs/towards-explaining-adversarial-examples-phenomenon-in-artificial-neural-networks-2107.10599</loc><lastmod>2022-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-explaining-adversarial-examples-phenomenon-in-artificial-neural-networks-2107.10599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-explaining-adversarial-examples-phenomenon-in-artificial-neural-networks-2107.10599"/></url>
<url><loc>https://scifaro.com/en/abs/data-considerations-in-graph-representation-learning-for-supply-chain-networks-2107.10609</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-considerations-in-graph-representation-learning-for-supply-chain-networks-2107.10609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-considerations-in-graph-representation-learning-for-supply-chain-networks-2107.10609"/></url>
<url><loc>https://scifaro.com/en/abs/hash-based-tree-similarity-and-simplification-in-genetic-programming-for-symbolic-regression-2107.10640</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hash-based-tree-similarity-and-simplification-in-genetic-programming-for-symbolic-regression-2107.10640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hash-based-tree-similarity-and-simplification-in-genetic-programming-for-symbolic-regression-2107.10640"/></url>
<url><loc>https://scifaro.com/en/abs/an-alisis-de-canasta-de-mercado-en-supermercados-mediante-mapas-auto-organizados-2107.10647</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-alisis-de-canasta-de-mercado-en-supermercados-mediante-mapas-auto-organizados-2107.10647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-alisis-de-canasta-de-mercado-en-supermercados-mediante-mapas-auto-organizados-2107.10647"/></url>
<url><loc>https://scifaro.com/en/abs/solving-inverse-problems-with-deep-neural-networks-driven-by-sparse-signal-decomposition-in-a-physics-based-dictionary-2107.10657</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-inverse-problems-with-deep-neural-networks-driven-by-sparse-signal-decomposition-in-a-physics-based-dictionary-2107.10657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-inverse-problems-with-deep-neural-networks-driven-by-sparse-signal-decomposition-in-a-physics-based-dictionary-2107.10657"/></url>
<url><loc>https://scifaro.com/en/abs/robust-topology-optimization-using-multi-fidelity-variational-autoencoders-2107.10661</loc><lastmod>2024-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-topology-optimization-using-multi-fidelity-variational-autoencoders-2107.10661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-topology-optimization-using-multi-fidelity-variational-autoencoders-2107.10661"/></url>
<url><loc>https://scifaro.com/en/abs/beta-annealed-variational-autoencoder-for-glitches-2107.10667</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beta-annealed-variational-autoencoder-for-glitches-2107.10667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beta-annealed-variational-autoencoder-for-glitches-2107.10667"/></url>
<url><loc>https://scifaro.com/en/abs/accuracy-analysis-of-educational-data-mining-using-feature-selection-algorithm-2107.10669</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accuracy-analysis-of-educational-data-mining-using-feature-selection-algorithm-2107.10669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accuracy-analysis-of-educational-data-mining-using-feature-selection-algorithm-2107.10669"/></url>
<url><loc>https://scifaro.com/en/abs/selective-pseudo-label-clustering-2107.10692</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-pseudo-label-clustering-2107.10692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-pseudo-label-clustering-2107.10692"/></url>
<url><loc>https://scifaro.com/en/abs/typing-assumptions-improve-identification-in-causal-discovery-2107.10703</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/typing-assumptions-improve-identification-in-causal-discovery-2107.10703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/typing-assumptions-improve-identification-in-causal-discovery-2107.10703"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-imbalanced-time-series-forecasting-2107.10709</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-imbalanced-time-series-forecasting-2107.10709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-imbalanced-time-series-forecasting-2107.10709"/></url>
<url><loc>https://scifaro.com/en/abs/neural-variational-gradient-descent-2107.10731</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-variational-gradient-descent-2107.10731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-variational-gradient-descent-2107.10731"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-transfer-a-foliated-theory-2107.10763</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-transfer-a-foliated-theory-2107.10763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-transfer-a-foliated-theory-2107.10763"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-in-incomplete-label-multiple-instance-multiple-label-learning-2107.10804</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-in-incomplete-label-multiple-instance-multiple-label-learning-2107.10804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-in-incomplete-label-multiple-instance-multiple-label-learning-2107.10804"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-quadratic-optimization-with-reinforcement-learning-2107.10847</loc><lastmod>2021-07-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-quadratic-optimization-with-reinforcement-learning-2107.10847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-quadratic-optimization-with-reinforcement-learning-2107.10847"/></url>
<url><loc>https://scifaro.com/en/abs/local-sgd-optimizes-overparameterized-neural-networks-in-polynomial-time-2107.10868</loc><lastmod>2022-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-sgd-optimizes-overparameterized-neural-networks-in-polynomial-time-2107.10868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-sgd-optimizes-overparameterized-neural-networks-in-polynomial-time-2107.10868"/></url>
<url><loc>https://scifaro.com/en/abs/multiclass-versus-binary-differentially-private-pac-learning-2107.10870</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiclass-versus-binary-differentially-private-pac-learning-2107.10870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiclass-versus-binary-differentially-private-pac-learning-2107.10870"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-certified-robustness-for-ensemble-models-and-beyond-2107.10873</loc><lastmod>2022-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-certified-robustness-for-ensemble-models-and-beyond-2107.10873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-certified-robustness-for-ensemble-models-and-beyond-2107.10873"/></url>
<url><loc>https://scifaro.com/en/abs/bagging-optimized-dynamic-mode-decomposition-bop-dmd-for-robust-stable-forecasting-with-spatial-and-temporal-uncertainty-quantification-2107.10878</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bagging-optimized-dynamic-mode-decomposition-bop-dmd-for-robust-stable-forecasting-with-spatial-and-temporal-uncertainty-quantification-2107.10878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bagging-optimized-dynamic-mode-decomposition-bop-dmd-for-robust-stable-forecasting-with-spatial-and-temporal-uncertainty-quantification-2107.10878"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-sparse-interpretable-dynamics-from-partial-observations-2107.10879</loc><lastmod>2022-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-sparse-interpretable-dynamics-from-partial-observations-2107.10879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-sparse-interpretable-dynamics-from-partial-observations-2107.10879"/></url>
<url><loc>https://scifaro.com/en/abs/size-doesn-t-matter-predicting-physico-or-biochemical-properties-based-on-dozens-of-molecules-2107.10882</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/size-doesn-t-matter-predicting-physico-or-biochemical-properties-based-on-dozens-of-molecules-2107.10882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/size-doesn-t-matter-predicting-physico-or-biochemical-properties-based-on-dozens-of-molecules-2107.10882"/></url>
<url><loc>https://scifaro.com/en/abs/domain-generalization-under-conditional-and-label-shifts-via-variational-bayesian-inference-2107.10931</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-generalization-under-conditional-and-label-shifts-via-variational-bayesian-inference-2107.10931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-generalization-under-conditional-and-label-shifts-via-variational-bayesian-inference-2107.10931"/></url>
<url><loc>https://scifaro.com/en/abs/deeptitle-leveraging-bert-to-generate-search-engine-optimized-headlines-2107.10935</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeptitle-leveraging-bert-to-generate-search-engine-optimized-headlines-2107.10935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeptitle-leveraging-bert-to-generate-search-engine-optimized-headlines-2107.10935"/></url>
<url><loc>https://scifaro.com/en/abs/ego-gnns-exploiting-ego-structures-in-graph-neural-networks-2107.10957</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ego-gnns-exploiting-ego-structures-in-graph-neural-networks-2107.10957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ego-gnns-exploiting-ego-structures-in-graph-neural-networks-2107.10957"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-rate-constrained-optimization-of-non-decomposable-objectives-2107.10960</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-rate-constrained-optimization-of-non-decomposable-objectives-2107.10960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-rate-constrained-optimization-of-non-decomposable-objectives-2107.10960"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-models-multi-task-learning-and-knowledge-transfer-with-modular-networks-2107.10963</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-models-multi-task-learning-and-knowledge-transfer-with-modular-networks-2107.10963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-models-multi-task-learning-and-knowledge-transfer-with-modular-networks-2107.10963"/></url>
<url><loc>https://scifaro.com/en/abs/adaptively-weighted-top-n-recommendation-for-organ-matching-2107.10971</loc><lastmod>2023-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptively-weighted-top-n-recommendation-for-organ-matching-2107.10971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptively-weighted-top-n-recommendation-for-organ-matching-2107.10971"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-versus-classical-machine-learning-a-convergence-comparison-2107.10976</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-versus-classical-machine-learning-a-convergence-comparison-2107.10976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-versus-classical-machine-learning-a-convergence-comparison-2107.10976"/></url>
<url><loc>https://scifaro.com/en/abs/tsformer-time-series-transformer-for-tourism-demand-forecasting-2107.10977</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tsformer-time-series-transformer-for-tourism-demand-forecasting-2107.10977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tsformer-time-series-transformer-for-tourism-demand-forecasting-2107.10977"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-predictive-uncertainty-under-program-data-distribution-shift-2107.10989</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-predictive-uncertainty-under-program-data-distribution-shift-2107.10989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-predictive-uncertainty-under-program-data-distribution-shift-2107.10989"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-meta-learning-initialization-method-for-physics-informed-neural-networks-2107.10991</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-meta-learning-initialization-method-for-physics-informed-neural-networks-2107.10991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-meta-learning-initialization-method-for-physics-informed-neural-networks-2107.10991"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficiency-in-federated-learning-achievements-and-challenges-2107.10996</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficiency-in-federated-learning-achievements-and-challenges-2107.10996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficiency-in-federated-learning-achievements-and-challenges-2107.10996"/></url>
<url><loc>https://scifaro.com/en/abs/model-selection-for-offline-reinforcement-learning-practical-considerations-for-healthcare-settings-2107.11003</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-selection-for-offline-reinforcement-learning-practical-considerations-for-healthcare-settings-2107.11003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-selection-for-offline-reinforcement-learning-practical-considerations-for-healthcare-settings-2107.11003"/></url>
<url><loc>https://scifaro.com/en/abs/visda-2021-competition-universal-domain-adaptation-to-improve-performance-on-out-of-distribution-data-2107.11011</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visda-2021-competition-universal-domain-adaptation-to-improve-performance-on-out-of-distribution-data-2107.11011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visda-2021-competition-universal-domain-adaptation-to-improve-performance-on-out-of-distribution-data-2107.11011"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-of-convolution-neural-networks-on-heterogeneous-signals-for-sleep-stage-scoring-2107.11045</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-of-convolution-neural-networks-on-heterogeneous-signals-for-sleep-stage-scoring-2107.11045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-of-convolution-neural-networks-on-heterogeneous-signals-for-sleep-stage-scoring-2107.11045"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-state-aggregation-algorithm-for-markov-decision-processes-2107.11053</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-state-aggregation-algorithm-for-markov-decision-processes-2107.11053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-state-aggregation-algorithm-for-markov-decision-processes-2107.11053"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-generalization-of-meta-learning-on-unseen-domains-via-adversarial-shift-2107.11056</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-generalization-of-meta-learning-on-unseen-domains-via-adversarial-shift-2107.11056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-generalization-of-meta-learning-on-unseen-domains-via-adversarial-shift-2107.11056"/></url>
<url><loc>https://scifaro.com/en/abs/localglmnet-interpretable-deep-learning-for-tabular-data-2107.11059</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/localglmnet-interpretable-deep-learning-for-tabular-data-2107.11059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/localglmnet-interpretable-deep-learning-for-tabular-data-2107.11059"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-deep-density-estimation-2107.11085</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-deep-density-estimation-2107.11085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-deep-density-estimation-2107.11085"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-networks-in-time-series-a-survey-and-taxonomy-2107.11098</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-networks-in-time-series-a-survey-and-taxonomy-2107.11098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-networks-in-time-series-a-survey-and-taxonomy-2107.11098"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-differentially-private-stochastic-optimization-with-heavy-tailed-data-2107.11136</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-differentially-private-stochastic-optimization-with-heavy-tailed-data-2107.11136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-differentially-private-stochastic-optimization-with-heavy-tailed-data-2107.11136"/></url>
<url><loc>https://scifaro.com/en/abs/constellation-learning-relational-abstractions-over-objects-for-compositional-imagination-2107.11153</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constellation-learning-relational-abstractions-over-objects-for-compositional-imagination-2107.11153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constellation-learning-relational-abstractions-over-objects-for-compositional-imagination-2107.11153"/></url>
<url><loc>https://scifaro.com/en/abs/training-a-neural-network-with-exciton-polariton-optical-nonlinearity-2107.11156</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-a-neural-network-with-exciton-polariton-optical-nonlinearity-2107.11156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-a-neural-network-with-exciton-polariton-optical-nonlinearity-2107.11156"/></url>
<url><loc>https://scifaro.com/en/abs/wavelet-design-in-a-learning-framework-2107.11225</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wavelet-design-in-a-learning-framework-2107.11225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wavelet-design-in-a-learning-framework-2107.11225"/></url>
<url><loc>https://scifaro.com/en/abs/taxonomizing-local-versus-global-structure-in-neural-network-loss-landscapes-2107.11228</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taxonomizing-local-versus-global-structure-in-neural-network-loss-landscapes-2107.11228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taxonomizing-local-versus-global-structure-in-neural-network-loss-landscapes-2107.11228"/></url>
<url><loc>https://scifaro.com/en/abs/effective-and-interpretable-fmri-analysis-via-functional-brain-network-generation-2107.11247</loc><lastmod>2021-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-and-interpretable-fmri-analysis-via-functional-brain-network-generation-2107.11247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-and-interpretable-fmri-analysis-via-functional-brain-network-generation-2107.11247"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-with-a-reject-option-a-survey-2107.11277</loc><lastmod>2024-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-with-a-reject-option-a-survey-2107.11277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-with-a-reject-option-a-survey-2107.11277"/></url>
<url><loc>https://scifaro.com/en/abs/structack-structure-based-adversarial-attacks-on-graph-neural-networks-2107.11327</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structack-structure-based-adversarial-attacks-on-graph-neural-networks-2107.11327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structack-structure-based-adversarial-attacks-on-graph-neural-networks-2107.11327"/></url>
<url><loc>https://scifaro.com/en/abs/heteroscedastic-temporal-variational-autoencoder-for-irregular-time-series-2107.11350</loc><lastmod>2024-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heteroscedastic-temporal-variational-autoencoder-for-irregular-time-series-2107.11350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heteroscedastic-temporal-variational-autoencoder-for-irregular-time-series-2107.11350"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-hard-parameter-sharing-in-multi-domain-learning-2107.11359</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-hard-parameter-sharing-in-multi-domain-learning-2107.11359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-hard-parameter-sharing-in-multi-domain-learning-2107.11359"/></url>
<url><loc>https://scifaro.com/en/abs/robust-explainability-a-tutorial-on-gradient-based-attribution-methods-for-deep-neural-networks-2107.11400</loc><lastmod>2022-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-explainability-a-tutorial-on-gradient-based-attribution-methods-for-deep-neural-networks-2107.11400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-explainability-a-tutorial-on-gradient-based-attribution-methods-for-deep-neural-networks-2107.11400"/></url>
<url><loc>https://scifaro.com/en/abs/using-deep-learning-techniques-and-inferential-speech-statistics-for-ai-synthesised-speech-recognition-2107.11412</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-deep-learning-techniques-and-inferential-speech-statistics-for-ai-synthesised-speech-recognition-2107.11412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-deep-learning-techniques-and-inferential-speech-statistics-for-ai-synthesised-speech-recognition-2107.11412"/></url>
<url><loc>https://scifaro.com/en/abs/an-instance-dependent-simulation-framework-for-learning-with-label-noise-2107.11413</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-instance-dependent-simulation-framework-for-learning-with-label-noise-2107.11413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-instance-dependent-simulation-framework-for-learning-with-label-noise-2107.11413"/></url>
<url><loc>https://scifaro.com/en/abs/device-scheduling-and-update-aggregation-policies-for-asynchronous-federated-learning-2107.11415</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/device-scheduling-and-update-aggregation-policies-for-asynchronous-federated-learning-2107.11415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/device-scheduling-and-update-aggregation-policies-for-asynchronous-federated-learning-2107.11415"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-sample-complexity-analysis-of-vanilla-policy-gradient-2107.11433</loc><lastmod>2022-11-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-sample-complexity-analysis-of-vanilla-policy-gradient-2107.11433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-sample-complexity-analysis-of-vanilla-policy-gradient-2107.11433"/></url>
<url><loc>https://scifaro.com/en/abs/compressing-neural-networks-towards-determining-the-optimal-layer-wise-decomposition-2107.11442</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressing-neural-networks-towards-determining-the-optimal-layer-wise-decomposition-2107.11442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressing-neural-networks-towards-determining-the-optimal-layer-wise-decomposition-2107.11442"/></url>
<url><loc>https://scifaro.com/en/abs/self-correcting-neural-networks-for-safe-classification-2107.11445</loc><lastmod>2022-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-correcting-neural-networks-for-safe-classification-2107.11445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-correcting-neural-networks-for-safe-classification-2107.11445"/></url>
<url><loc>https://scifaro.com/en/abs/using-a-cross-task-grid-of-linear-probes-to-interpret-cnn-model-predictions-on-retinal-images-2107.11468</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-a-cross-task-grid-of-linear-probes-to-interpret-cnn-model-predictions-on-retinal-images-2107.11468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-a-cross-task-grid-of-linear-probes-to-interpret-cnn-model-predictions-on-retinal-images-2107.11468"/></url>
<url><loc>https://scifaro.com/en/abs/clipped-hyperbolic-classifiers-are-super-hyperbolic-classifiers-2107.11472</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clipped-hyperbolic-classifiers-are-super-hyperbolic-classifiers-2107.11472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clipped-hyperbolic-classifiers-are-super-hyperbolic-classifiers-2107.11472"/></url>
<url><loc>https://scifaro.com/en/abs/training-multi-objective-multi-task-collocation-physics-informed-neural-network-with-student-teachers-transfer-learnings-2107.11496</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-multi-objective-multi-task-collocation-physics-informed-neural-network-with-student-teachers-transfer-learnings-2107.11496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-multi-objective-multi-task-collocation-physics-informed-neural-network-with-student-teachers-transfer-learnings-2107.11496"/></url>
<url><loc>https://scifaro.com/en/abs/mu-darts-model-uncertainty-aware-differentiable-architecture-search-2107.11500</loc><lastmod>2022-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mu-darts-model-uncertainty-aware-differentiable-architecture-search-2107.11500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mu-darts-model-uncertainty-aware-differentiable-architecture-search-2107.11500"/></url>
<url><loc>https://scifaro.com/en/abs/imbalanced-big-data-oversampling-taxonomy-algorithms-software-guidelines-and-future-directions-2107.11508</loc><lastmod>2022-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imbalanced-big-data-oversampling-taxonomy-algorithms-software-guidelines-and-future-directions-2107.11508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imbalanced-big-data-oversampling-taxonomy-algorithms-software-guidelines-and-future-directions-2107.11508"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-sample-complexity-of-privately-learning-axis-aligned-rectangles-2107.11526</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-privately-learning-axis-aligned-rectangles-2107.11526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-sample-complexity-of-privately-learning-axis-aligned-rectangles-2107.11526"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-micro-data-reinforcement-learning-what-are-the-crucial-model-properties-and-which-model-to-choose-2107.11587</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-micro-data-reinforcement-learning-what-are-the-crucial-model-properties-and-which-model-to-choose-2107.11587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-micro-data-reinforcement-learning-what-are-the-crucial-model-properties-and-which-model-to-choose-2107.11587"/></url>
<url><loc>https://scifaro.com/en/abs/a-model-agnostic-algorithm-for-bayes-error-determination-in-binary-classification-2107.11609</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-model-agnostic-algorithm-for-bayes-error-determination-in-binary-classification-2107.11609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-model-agnostic-algorithm-for-bayes-error-determination-in-binary-classification-2107.11609"/></url>
<url><loc>https://scifaro.com/en/abs/fedlab-a-flexible-federated-learning-framework-2107.11621</loc><lastmod>2022-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedlab-a-flexible-federated-learning-framework-2107.11621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedlab-a-flexible-federated-learning-framework-2107.11621"/></url>
<url><loc>https://scifaro.com/en/abs/discrete-denoising-flows-2107.11625</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discrete-denoising-flows-2107.11625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discrete-denoising-flows-2107.11625"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-adversarial-examples-is-nearly-as-hard-as-classifying-them-2107.11630</loc><lastmod>2022-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-adversarial-examples-is-nearly-as-hard-as-classifying-them-2107.11630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-adversarial-examples-is-nearly-as-hard-as-classifying-them-2107.11630"/></url>
<url><loc>https://scifaro.com/en/abs/tail-of-distribution-gan-tailgan-generative-adversarial-network-based-boundary-formation-2107.11658</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tail-of-distribution-gan-tailgan-generative-adversarial-network-based-boundary-formation-2107.11658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tail-of-distribution-gan-tailgan-generative-adversarial-network-based-boundary-formation-2107.11658"/></url>
<url><loc>https://scifaro.com/en/abs/graph-convolutional-network-with-generalized-factorized-bilinear-aggregation-2107.11666</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-convolutional-network-with-generalized-factorized-bilinear-aggregation-2107.11666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-convolutional-network-with-generalized-factorized-bilinear-aggregation-2107.11666"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-training-may-be-a-double-edged-sword-2107.11671</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-training-may-be-a-double-edged-sword-2107.11671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-training-may-be-a-double-edged-sword-2107.11671"/></url>
<url><loc>https://scifaro.com/en/abs/the-impact-of-negative-sampling-on-contrastive-structured-world-models-2107.11676</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-impact-of-negative-sampling-on-contrastive-structured-world-models-2107.11676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-impact-of-negative-sampling-on-contrastive-structured-world-models-2107.11676"/></url>
<url><loc>https://scifaro.com/en/abs/invariance-based-multi-clustering-of-latent-space-embeddings-for-equivariant-learning-2107.11717</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariance-based-multi-clustering-of-latent-space-embeddings-for-equivariant-learning-2107.11717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariance-based-multi-clustering-of-latent-space-embeddings-for-equivariant-learning-2107.11717"/></url>
<url><loc>https://scifaro.com/en/abs/federated-causal-inference-in-heterogeneous-observational-data-2107.11732</loc><lastmod>2023-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-causal-inference-in-heterogeneous-observational-data-2107.11732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-causal-inference-in-heterogeneous-observational-data-2107.11732"/></url>
<url><loc>https://scifaro.com/en/abs/wip-abstract-robust-out-of-distribution-motion-detection-and-localization-in-autonomous-cps-2107.11736</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wip-abstract-robust-out-of-distribution-motion-detection-and-localization-in-autonomous-cps-2107.11736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wip-abstract-robust-out-of-distribution-motion-detection-and-localization-in-autonomous-cps-2107.11736"/></url>
<url><loc>https://scifaro.com/en/abs/improving-variational-autoencoder-based-out-of-distribution-detection-for-embedded-real-time-applications-2107.11750</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-variational-autoencoder-based-out-of-distribution-detection-for-embedded-real-time-applications-2107.11750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-variational-autoencoder-based-out-of-distribution-detection-for-embedded-real-time-applications-2107.11750"/></url>
<url><loc>https://scifaro.com/en/abs/sgd-with-a-constant-large-learning-rate-can-converge-to-local-maxima-2107.11774</loc><lastmod>2023-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgd-with-a-constant-large-learning-rate-can-converge-to-local-maxima-2107.11774"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgd-with-a-constant-large-learning-rate-can-converge-to-local-maxima-2107.11774"/></url>
<url><loc>https://scifaro.com/en/abs/rod-reception-aware-online-distillation-for-sparse-graphs-2107.11789</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rod-reception-aware-online-distillation-for-sparse-graphs-2107.11789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rod-reception-aware-online-distillation-for-sparse-graphs-2107.11789"/></url>
<url><loc>https://scifaro.com/en/abs/reinforced-imitation-learning-by-free-energy-principle-2107.11811</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforced-imitation-learning-by-free-energy-principle-2107.11811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforced-imitation-learning-by-free-energy-principle-2107.11811"/></url>
<url><loc>https://scifaro.com/en/abs/go-wider-instead-of-deeper-2107.11817</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/go-wider-instead-of-deeper-2107.11817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/go-wider-instead-of-deeper-2107.11817"/></url>
<url><loc>https://scifaro.com/en/abs/decision-forest-voting-scheme-for-classification-of-rare-classes-in-network-intrusion-detection-2107.11862</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-forest-voting-scheme-for-classification-of-rare-classes-in-network-intrusion-detection-2107.11862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-forest-voting-scheme-for-classification-of-rare-classes-in-network-intrusion-detection-2107.11862"/></url>
<url><loc>https://scifaro.com/en/abs/neural-circuit-synthesis-from-specification-patterns-2107.11864</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-circuit-synthesis-from-specification-patterns-2107.11864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-circuit-synthesis-from-specification-patterns-2107.11864"/></url>
<url><loc>https://scifaro.com/en/abs/gcexplainer-human-in-the-loop-concept-based-explanations-for-graph-neural-networks-2107.11889</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gcexplainer-human-in-the-loop-concept-based-explanations-for-graph-neural-networks-2107.11889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gcexplainer-human-in-the-loop-concept-based-explanations-for-graph-neural-networks-2107.11889"/></url>
<url><loc>https://scifaro.com/en/abs/a-brief-note-on-understanding-neural-networks-as-gaussian-processes-2107.11892</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-brief-note-on-understanding-neural-networks-as-gaussian-processes-2107.11892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-brief-note-on-understanding-neural-networks-as-gaussian-processes-2107.11892"/></url>
<url><loc>https://scifaro.com/en/abs/h-transformer-1d-fast-one-dimensional-hierarchical-attention-for-sequences-2107.11906</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/h-transformer-1d-fast-one-dimensional-hierarchical-attention-for-sequences-2107.11906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/h-transformer-1d-fast-one-dimensional-hierarchical-attention-for-sequences-2107.11906"/></url>
<url><loc>https://scifaro.com/en/abs/compensation-learning-2107.11921</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compensation-learning-2107.11921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compensation-learning-2107.11921"/></url>
<url><loc>https://scifaro.com/en/abs/dissecting-flops-along-input-dimensions-for-greenai-cost-estimations-2107.11949</loc><lastmod>2025-11-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dissecting-flops-along-input-dimensions-for-greenai-cost-estimations-2107.11949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dissecting-flops-along-input-dimensions-for-greenai-cost-estimations-2107.11949"/></url>
<url><loc>https://scifaro.com/en/abs/aggregate-or-not-exploring-where-to-privatize-in-dnn-based-federated-learning-under-different-non-iid-scenes-2107.11954</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregate-or-not-exploring-where-to-privatize-in-dnn-based-federated-learning-under-different-non-iid-scenes-2107.11954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregate-or-not-exploring-where-to-privatize-in-dnn-based-federated-learning-under-different-non-iid-scenes-2107.11954"/></url>
<url><loc>https://scifaro.com/en/abs/trade-when-opportunity-comes-price-movement-forecasting-via-locality-aware-attention-and-iterative-refinement-labeling-2107.11972</loc><lastmod>2024-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trade-when-opportunity-comes-price-movement-forecasting-via-locality-aware-attention-and-iterative-refinement-labeling-2107.11972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trade-when-opportunity-comes-price-movement-forecasting-via-locality-aware-attention-and-iterative-refinement-labeling-2107.11972"/></url>
<url><loc>https://scifaro.com/en/abs/stable-dynamic-mode-decomposition-algorithm-for-noisy-pressure-sensitive-paint-measurement-data-2107.11999</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-dynamic-mode-decomposition-algorithm-for-noisy-pressure-sensitive-paint-measurement-data-2107.11999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-dynamic-mode-decomposition-algorithm-for-noisy-pressure-sensitive-paint-measurement-data-2107.11999"/></url>
<url><loc>https://scifaro.com/en/abs/workpiece-image-based-tool-wear-classification-in-blanking-processes-using-deep-convolutional-neural-networks-2107.12034</loc><lastmod>2023-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/workpiece-image-based-tool-wear-classification-in-blanking-processes-using-deep-convolutional-neural-networks-2107.12034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/workpiece-image-based-tool-wear-classification-in-blanking-processes-using-deep-convolutional-neural-networks-2107.12034"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-certify-machine-learning-based-safety-critical-systems-a-systematic-literature-review-2107.12045</loc><lastmod>2022-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-certify-machine-learning-based-safety-critical-systems-a-systematic-literature-review-2107.12045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-certify-machine-learning-based-safety-critical-systems-a-systematic-literature-review-2107.12045"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-federated-learning-balancing-communication-and-computing-costs-2107.12048</loc><lastmod>2022-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-federated-learning-balancing-communication-and-computing-costs-2107.12048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-federated-learning-balancing-communication-and-computing-costs-2107.12048"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-approach-to-automated-spectral-clustering-2107.12183</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-approach-to-automated-spectral-clustering-2107.12183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-approach-to-automated-spectral-clustering-2107.12183"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-diagnosis-and-calibration-on-gan-intra-mode-collapse-a-pilot-study-2107.12202</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-diagnosis-and-calibration-on-gan-intra-mode-collapse-a-pilot-study-2107.12202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-diagnosis-and-calibration-on-gan-intra-mode-collapse-a-pilot-study-2107.12202"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-theory-for-client-sampling-in-federated-learning-2107.12211</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-theory-for-client-sampling-in-federated-learning-2107.12211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-theory-for-client-sampling-in-federated-learning-2107.12211"/></url>
<url><loc>https://scifaro.com/en/abs/hindsight-value-function-for-variance-reduction-in-stochastic-dynamic-environment-2107.12216</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hindsight-value-function-for-variance-reduction-in-stochastic-dynamic-environment-2107.12216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hindsight-value-function-for-variance-reduction-in-stochastic-dynamic-environment-2107.12216"/></url>
<url><loc>https://scifaro.com/en/abs/thought-flow-nets-from-single-predictions-to-trains-of-model-thought-2107.12220</loc><lastmod>2026-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thought-flow-nets-from-single-predictions-to-trains-of-model-thought-2107.12220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thought-flow-nets-from-single-predictions-to-trains-of-model-thought-2107.12220"/></url>
<url><loc>https://scifaro.com/en/abs/local2global-scaling-global-representation-learning-on-graphs-via-local-training-2107.12224</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local2global-scaling-global-representation-learning-on-graphs-via-local-training-2107.12224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local2global-scaling-global-representation-learning-on-graphs-via-local-training-2107.12224"/></url>
<url><loc>https://scifaro.com/en/abs/are-bayesian-neural-networks-intrinsically-good-at-out-of-distribution-detection-2107.12248</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/are-bayesian-neural-networks-intrinsically-good-at-out-of-distribution-detection-2107.12248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/are-bayesian-neural-networks-intrinsically-good-at-out-of-distribution-detection-2107.12248"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-aware-time-to-event-prediction-using-deep-kernel-accelerated-failure-time-models-2107.12250</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-aware-time-to-event-prediction-using-deep-kernel-accelerated-failure-time-models-2107.12250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-aware-time-to-event-prediction-using-deep-kernel-accelerated-failure-time-models-2107.12250"/></url>
<url><loc>https://scifaro.com/en/abs/in-defense-of-the-learning-without-forgetting-for-task-incremental-learning-2107.12304</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-defense-of-the-learning-without-forgetting-for-task-incremental-learning-2107.12304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-defense-of-the-learning-without-forgetting-for-task-incremental-learning-2107.12304"/></url>
<url><loc>https://scifaro.com/en/abs/mldev-data-science-experiment-automation-and-reproducibility-software-2107.12322</loc><lastmod>2022-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mldev-data-science-experiment-automation-and-reproducibility-software-2107.12322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mldev-data-science-experiment-automation-and-reproducibility-software-2107.12322"/></url>
<url><loc>https://scifaro.com/en/abs/from-implicit-to-explicit-feedback-a-deep-neural-network-for-modeling-sequential-behaviours-and-long-short-term-preferences-of-online-users-2107.12325</loc><lastmod>2021-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-implicit-to-explicit-feedback-a-deep-neural-network-for-modeling-sequential-behaviours-and-long-short-term-preferences-of-online-users-2107.12325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-implicit-to-explicit-feedback-a-deep-neural-network-for-modeling-sequential-behaviours-and-long-short-term-preferences-of-online-users-2107.12325"/></url>
<url><loc>https://scifaro.com/en/abs/aasae-augmentation-augmented-stochastic-autoencoders-2107.12329</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aasae-augmentation-augmented-stochastic-autoencoders-2107.12329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aasae-augmentation-augmented-stochastic-autoencoders-2107.12329"/></url>
<url><loc>https://scifaro.com/en/abs/embedding-signals-on-knowledge-graphs-with-unbalanced-diffusion-earth-mover-s-distance-2107.12334</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedding-signals-on-knowledge-graphs-with-unbalanced-diffusion-earth-mover-s-distance-2107.12334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedding-signals-on-knowledge-graphs-with-unbalanced-diffusion-earth-mover-s-distance-2107.12334"/></url>
<url><loc>https://scifaro.com/en/abs/sisyphus-a-cautionary-tale-of-using-low-degree-polynomial-activations-in-privacy-preserving-deep-learning-2107.12342</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sisyphus-a-cautionary-tale-of-using-low-degree-polynomial-activations-in-privacy-preserving-deep-learning-2107.12342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sisyphus-a-cautionary-tale-of-using-low-degree-polynomial-activations-in-privacy-preserving-deep-learning-2107.12342"/></url>
<url><loc>https://scifaro.com/en/abs/feature-synergy-redundancy-and-independence-in-global-model-explanations-using-shap-vector-decomposition-2107.12436</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-synergy-redundancy-and-independence-in-global-model-explanations-using-shap-vector-decomposition-2107.12436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-synergy-redundancy-and-independence-in-global-model-explanations-using-shap-vector-decomposition-2107.12436"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-gradient-descent-learning-over-multiple-access-fading-channels-2107.12452</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-gradient-descent-learning-over-multiple-access-fading-channels-2107.12452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-gradient-descent-learning-over-multiple-access-fading-channels-2107.12452"/></url>
<url><loc>https://scifaro.com/en/abs/combining-reward-and-rank-signals-for-slate-recommendation-2107.12455</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-reward-and-rank-signals-for-slate-recommendation-2107.12455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-reward-and-rank-signals-for-slate-recommendation-2107.12455"/></url>
<url><loc>https://scifaro.com/en/abs/don-t-sweep-your-learning-rate-under-the-rug-a-closer-look-at-cross-modal-transfer-of-pretrained-transformers-2107.12460</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/don-t-sweep-your-learning-rate-under-the-rug-a-closer-look-at-cross-modal-transfer-of-pretrained-transformers-2107.12460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/don-t-sweep-your-learning-rate-under-the-rug-a-closer-look-at-cross-modal-transfer-of-pretrained-transformers-2107.12460"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-distribution-generation-through-deep-neural-networks-2107.12466</loc><lastmod>2022-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-distribution-generation-through-deep-neural-networks-2107.12466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-distribution-generation-through-deep-neural-networks-2107.12466"/></url>
<url><loc>https://scifaro.com/en/abs/legato-a-layerwise-gradient-aggregation-algorithm-for-mitigating-byzantine-attacks-in-federated-learning-2107.12490</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/legato-a-layerwise-gradient-aggregation-algorithm-for-mitigating-byzantine-attacks-in-federated-learning-2107.12490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/legato-a-layerwise-gradient-aggregation-algorithm-for-mitigating-byzantine-attacks-in-federated-learning-2107.12490"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-random-forest-classifier-for-automated-game-design-2107.12501</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-random-forest-classifier-for-automated-game-design-2107.12501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-random-forest-classifier-for-automated-game-design-2107.12501"/></url>
<url><loc>https://scifaro.com/en/abs/taikonation-patterning-focused-chart-generation-for-rhythm-action-games-2107.12506</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taikonation-patterning-focused-chart-generation-for-rhythm-action-games-2107.12506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taikonation-patterning-focused-chart-generation-for-rhythm-action-games-2107.12506"/></url>
<url><loc>https://scifaro.com/en/abs/restricted-boltzmann-machine-and-deep-belief-network-tutorial-and-survey-2107.12521</loc><lastmod>2022-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/restricted-boltzmann-machine-and-deep-belief-network-tutorial-and-survey-2107.12521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/restricted-boltzmann-machine-and-deep-belief-network-tutorial-and-survey-2107.12521"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-learning-for-mega-man-level-generation-2107.12524</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-learning-for-mega-man-level-generation-2107.12524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-learning-for-mega-man-level-generation-2107.12524"/></url>
<url><loc>https://scifaro.com/en/abs/physics-enforced-modeling-for-insertion-loss-of-transmission-lines-by-deep-neural-networks-2107.12527</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-enforced-modeling-for-insertion-loss-of-transmission-lines-by-deep-neural-networks-2107.12527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-enforced-modeling-for-insertion-loss-of-transmission-lines-by-deep-neural-networks-2107.12527"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-deep-relu-networks-2107.12530</loc><lastmod>2023-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-deep-relu-networks-2107.12530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-deep-relu-networks-2107.12530"/></url>
<url><loc>https://scifaro.com/en/abs/generating-lode-runner-levels-by-learning-player-paths-with-lstms-2107.12532</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-lode-runner-levels-by-learning-player-paths-with-lstms-2107.12532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-lode-runner-levels-by-learning-player-paths-with-lstms-2107.12532"/></url>
<url><loc>https://scifaro.com/en/abs/toward-co-creative-dungeon-generation-via-transfer-learning-2107.12533</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-co-creative-dungeon-generation-via-transfer-learning-2107.12533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-co-creative-dungeon-generation-via-transfer-learning-2107.12533"/></url>
<url><loc>https://scifaro.com/en/abs/probing-neural-networks-with-t-sne-class-specific-projections-and-a-guided-tour-2107.12547</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probing-neural-networks-with-t-sne-class-specific-projections-and-a-guided-tour-2107.12547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probing-neural-networks-with-t-sne-class-specific-projections-and-a-guided-tour-2107.12547"/></url>
<url><loc>https://scifaro.com/en/abs/pointer-value-retrieval-a-new-benchmark-for-understanding-the-limits-of-neural-network-generalization-2107.12580</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pointer-value-retrieval-a-new-benchmark-for-understanding-the-limits-of-neural-network-generalization-2107.12580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pointer-value-retrieval-a-new-benchmark-for-understanding-the-limits-of-neural-network-generalization-2107.12580"/></url>
<url><loc>https://scifaro.com/en/abs/combining-probabilistic-logic-and-deep-learning-for-self-supervised-learning-2107.12591</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-probabilistic-logic-and-deep-learning-for-self-supervised-learning-2107.12591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-probabilistic-logic-and-deep-learning-for-self-supervised-learning-2107.12591"/></url>
<url><loc>https://scifaro.com/en/abs/energy-based-open-world-uncertainty-modeling-for-confidence-calibration-2107.12628</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-based-open-world-uncertainty-modeling-for-confidence-calibration-2107.12628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-based-open-world-uncertainty-modeling-for-confidence-calibration-2107.12628"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-with-neuron-activation-importance-2107.12657</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-with-neuron-activation-importance-2107.12657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-with-neuron-activation-importance-2107.12657"/></url>
<url><loc>https://scifaro.com/en/abs/cops-controlled-pruning-before-training-starts-2107.12673</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cops-controlled-pruning-before-training-starts-2107.12673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cops-controlled-pruning-before-training-starts-2107.12673"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-role-of-optimization-in-double-descent-a-least-squares-study-2107.12685</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-role-of-optimization-in-double-descent-a-least-squares-study-2107.12685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-role-of-optimization-in-double-descent-a-least-squares-study-2107.12685"/></url>
<url><loc>https://scifaro.com/en/abs/improving-clustergan-using-self-augmented-information-maximization-of-disentangling-latent-spaces-2107.12706</loc><lastmod>2023-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-clustergan-using-self-augmented-information-maximization-of-disentangling-latent-spaces-2107.12706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-clustergan-using-self-augmented-information-maximization-of-disentangling-latent-spaces-2107.12706"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-prophet-and-deep-learning-to-arima-in-forecasting-wholesale-food-prices-2107.12770</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-prophet-and-deep-learning-to-arima-in-forecasting-wholesale-food-prices-2107.12770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-prophet-and-deep-learning-to-arima-in-forecasting-wholesale-food-prices-2107.12770"/></url>
<url><loc>https://scifaro.com/en/abs/physics-constrained-deep-learning-for-robust-inverse-ecg-modeling-2107.12780</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-constrained-deep-learning-for-robust-inverse-ecg-modeling-2107.12780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-constrained-deep-learning-for-robust-inverse-ecg-modeling-2107.12780"/></url>
<url><loc>https://scifaro.com/en/abs/clickbait-detection-in-youtube-videos-2107.12791</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clickbait-detection-in-youtube-videos-2107.12791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clickbait-detection-in-youtube-videos-2107.12791"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-electricity-price-forecasting-based-on-graph-convolution-network-and-attention-mechanism-2107.12794</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-electricity-price-forecasting-based-on-graph-convolution-network-and-attention-mechanism-2107.12794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-electricity-price-forecasting-based-on-graph-convolution-network-and-attention-mechanism-2107.12794"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-l3-slice-localization-in-sarcopenia-assessment-2107.12800</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-l3-slice-localization-in-sarcopenia-assessment-2107.12800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-l3-slice-localization-in-sarcopenia-assessment-2107.12800"/></url>
<url><loc>https://scifaro.com/en/abs/robust-optimization-framework-for-training-shallow-neural-networks-using-reachability-method-2107.12801</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-optimization-framework-for-training-shallow-neural-networks-using-reachability-method-2107.12801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-optimization-framework-for-training-shallow-neural-networks-using-reachability-method-2107.12801"/></url>
<url><loc>https://scifaro.com/en/abs/open-ended-learning-leads-to-generally-capable-agents-2107.12808</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-ended-learning-leads-to-generally-capable-agents-2107.12808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-ended-learning-leads-to-generally-capable-agents-2107.12808"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimisation-for-sequential-experimental-design-with-applications-in-additive-manufacturing-2107.12809</loc><lastmod>2023-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimisation-for-sequential-experimental-design-with-applications-in-additive-manufacturing-2107.12809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimisation-for-sequential-experimental-design-with-applications-in-additive-manufacturing-2107.12809"/></url>
<url><loc>https://scifaro.com/en/abs/a-low-cost-neural-ode-with-depthwise-separable-convolution-for-edge-domain-adaptation-on-fpgas-2107.12824</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-low-cost-neural-ode-with-depthwise-separable-convolution-for-edge-domain-adaptation-on-fpgas-2107.12824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-low-cost-neural-ode-with-depthwise-separable-convolution-for-edge-domain-adaptation-on-fpgas-2107.12824"/></url>
<url><loc>https://scifaro.com/en/abs/individual-survival-curves-with-conditional-normalizing-flows-2107.12825</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/individual-survival-curves-with-conditional-normalizing-flows-2107.12825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/individual-survival-curves-with-conditional-normalizing-flows-2107.12825"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-stacked-auto-encoders-for-fair-representation-learning-2107.12826</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-stacked-auto-encoders-for-fair-representation-learning-2107.12826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-stacked-auto-encoders-for-fair-representation-learning-2107.12826"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-branch-and-bound-for-neural-network-verification-2107.12855</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-branch-and-bound-for-neural-network-verification-2107.12855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-branch-and-bound-for-neural-network-verification-2107.12855"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-barrier-functions-via-implicit-evading-maneuvers-2107.12871</loc><lastmod>2022-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-barrier-functions-via-implicit-evading-maneuvers-2107.12871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-barrier-functions-via-implicit-evading-maneuvers-2107.12871"/></url>
<url><loc>https://scifaro.com/en/abs/experiments-on-properties-of-hidden-structures-of-sparse-neural-networks-2107.12917</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/experiments-on-properties-of-hidden-structures-of-sparse-neural-networks-2107.12917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/experiments-on-properties-of-hidden-structures-of-sparse-neural-networks-2107.12917"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-in-electronic-health-records-through-clinical-concept-embedding-2107.12919</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-in-electronic-health-records-through-clinical-concept-embedding-2107.12919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-in-electronic-health-records-through-clinical-concept-embedding-2107.12919"/></url>
<url><loc>https://scifaro.com/en/abs/autonomous-reinforcement-learning-via-subgoal-curricula-2107.12931</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autonomous-reinforcement-learning-via-subgoal-curricula-2107.12931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autonomous-reinforcement-learning-via-subgoal-curricula-2107.12931"/></url>
<url><loc>https://scifaro.com/en/abs/finding-failures-in-high-fidelity-simulation-using-adaptive-stress-testing-and-the-backward-algorithm-2107.12940</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-failures-in-high-fidelity-simulation-using-adaptive-stress-testing-and-the-backward-algorithm-2107.12940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-failures-in-high-fidelity-simulation-using-adaptive-stress-testing-and-the-backward-algorithm-2107.12940"/></url>
<url><loc>https://scifaro.com/en/abs/channel-wise-early-stopping-without-a-validation-set-via-nnk-polytope-interpolation-2107.12972</loc><lastmod>2021-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/channel-wise-early-stopping-without-a-validation-set-via-nnk-polytope-interpolation-2107.12972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/channel-wise-early-stopping-without-a-validation-set-via-nnk-polytope-interpolation-2107.12972"/></url>
<url><loc>https://scifaro.com/en/abs/fully-homomorphically-encrypted-deep-learning-as-a-service-2107.12997</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-homomorphically-encrypted-deep-learning-as-a-service-2107.12997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-homomorphically-encrypted-deep-learning-as-a-service-2107.12997"/></url>
<url><loc>https://scifaro.com/en/abs/dataset-distillation-with-infinitely-wide-convolutional-networks-2107.13034</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dataset-distillation-with-infinitely-wide-convolutional-networks-2107.13034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dataset-distillation-with-infinitely-wide-convolutional-networks-2107.13034"/></url>
<url><loc>https://scifaro.com/en/abs/explicit-pairwise-factorized-graph-neural-network-for-semi-supervised-node-classification-2107.13059</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explicit-pairwise-factorized-graph-neural-network-for-semi-supervised-node-classification-2107.13059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explicit-pairwise-factorized-graph-neural-network-for-semi-supervised-node-classification-2107.13059"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-balancing-for-causal-continuous-treatment-effect-estimation-2107.13068</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-balancing-for-causal-continuous-treatment-effect-estimation-2107.13068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-balancing-for-causal-continuous-treatment-effect-estimation-2107.13068"/></url>
<url><loc>https://scifaro.com/en/abs/a-payload-optimization-method-for-federated-recommender-systems-2107.13078</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-payload-optimization-method-for-federated-recommender-systems-2107.13078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-payload-optimization-method-for-federated-recommender-systems-2107.13078"/></url>
<url><loc>https://scifaro.com/en/abs/pixyz-a-python-library-for-developing-deep-generative-models-2107.13109</loc><lastmod>2023-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pixyz-a-python-library-for-developing-deep-generative-models-2107.13109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pixyz-a-python-library-for-developing-deep-generative-models-2107.13109"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-active-learning-for-deep-neural-network-regression-2107.13124</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-active-learning-for-deep-neural-network-regression-2107.13124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-active-learning-for-deep-neural-network-regression-2107.13124"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-neurosymbolic-encoders-2107.13132</loc><lastmod>2022-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-neurosymbolic-encoders-2107.13132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-neurosymbolic-encoders-2107.13132"/></url>
<url><loc>https://scifaro.com/en/abs/homogeneous-architecture-augmentation-for-neural-predictor-2107.13153</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/homogeneous-architecture-augmentation-for-neural-predictor-2107.13153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/homogeneous-architecture-augmentation-for-neural-predictor-2107.13153"/></url>
<url><loc>https://scifaro.com/en/abs/statistically-meaningful-approximation-a-case-study-on-approximating-turing-machines-with-transformers-2107.13163</loc><lastmod>2023-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistically-meaningful-approximation-a-case-study-on-approximating-turing-machines-with-transformers-2107.13163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistically-meaningful-approximation-a-case-study-on-approximating-turing-machines-with-transformers-2107.13163"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-multiclass-auc-theory-and-algorithms-2107.13171</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-multiclass-auc-theory-and-algorithms-2107.13171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-multiclass-auc-theory-and-algorithms-2107.13171"/></url>
<url><loc>https://scifaro.com/en/abs/new-metrics-to-evaluate-the-performance-and-fairness-of-personalized-federated-learning-2107.13173</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-metrics-to-evaluate-the-performance-and-fairness-of-personalized-federated-learning-2107.13173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-metrics-to-evaluate-the-performance-and-fairness-of-personalized-federated-learning-2107.13173"/></url>
<url><loc>https://scifaro.com/en/abs/automl-meets-time-series-regression-design-and-analysis-of-the-autoseries-challenge-2107.13186</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automl-meets-time-series-regression-design-and-analysis-of-the-autoseries-challenge-2107.13186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automl-meets-time-series-regression-design-and-analysis-of-the-autoseries-challenge-2107.13186"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-approximation-of-refinable-functions-2107.13191</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-approximation-of-refinable-functions-2107.13191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-approximation-of-refinable-functions-2107.13191"/></url>
<url><loc>https://scifaro.com/en/abs/song-self-organizing-neural-graphs-2107.13214</loc><lastmod>2025-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/song-self-organizing-neural-graphs-2107.13214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/song-self-organizing-neural-graphs-2107.13214"/></url>
<url><loc>https://scifaro.com/en/abs/multi-graph-convolutional-recurrent-neural-network-mgc-rnn-for-short-term-forecasting-of-transit-passenger-flow-2107.13226</loc><lastmod>2022-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-graph-convolutional-recurrent-neural-network-mgc-rnn-for-short-term-forecasting-of-transit-passenger-flow-2107.13226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-graph-convolutional-recurrent-neural-network-mgc-rnn-for-short-term-forecasting-of-transit-passenger-flow-2107.13226"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-autoencoders-for-drift-detection-in-industrial-environments-2107.13249</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-autoencoders-for-drift-detection-in-industrial-environments-2107.13249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-autoencoders-for-drift-detection-in-industrial-environments-2107.13249"/></url>
<url><loc>https://scifaro.com/en/abs/towards-neural-schema-alignment-for-openstreetmap-and-knowledge-graphs-2107.13257</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-neural-schema-alignment-for-openstreetmap-and-knowledge-graphs-2107.13257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-neural-schema-alignment-for-openstreetmap-and-knowledge-graphs-2107.13257"/></url>
<url><loc>https://scifaro.com/en/abs/learned-optimizers-for-analytic-continuation-2107.13265</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learned-optimizers-for-analytic-continuation-2107.13265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learned-optimizers-for-analytic-continuation-2107.13265"/></url>
<url><loc>https://scifaro.com/en/abs/a-reflection-on-learning-from-data-epistemology-issues-and-limitations-2107.13270</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reflection-on-learning-from-data-epistemology-issues-and-limitations-2107.13270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reflection-on-learning-from-data-epistemology-issues-and-limitations-2107.13270"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-autoencoders-analysing-and-fixing-the-bernoulli-likelihood-for-out-of-distribution-detection-2107.13304</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-autoencoders-analysing-and-fixing-the-bernoulli-likelihood-for-out-of-distribution-detection-2107.13304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-autoencoders-analysing-and-fixing-the-bernoulli-likelihood-for-out-of-distribution-detection-2107.13304"/></url>
<url><loc>https://scifaro.com/en/abs/effective-eigendecomposition-based-graph-adaptation-for-heterophilic-networks-2107.13312</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-eigendecomposition-based-graph-adaptation-for-heterophilic-networks-2107.13312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-eigendecomposition-based-graph-adaptation-for-heterophilic-networks-2107.13312"/></url>
<url><loc>https://scifaro.com/en/abs/chance-constrained-conic-segmentation-support-vector-machine-with-uncertain-data-2107.13319</loc><lastmod>2022-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chance-constrained-conic-segmentation-support-vector-machine-with-uncertain-data-2107.13319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chance-constrained-conic-segmentation-support-vector-machine-with-uncertain-data-2107.13319"/></url>
<url><loc>https://scifaro.com/en/abs/doing-great-at-estimating-cate-on-the-neglected-assumptions-in-benchmark-comparisons-of-treatment-effect-estimators-2107.13346</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doing-great-at-estimating-cate-on-the-neglected-assumptions-in-benchmark-comparisons-of-treatment-effect-estimators-2107.13346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doing-great-at-estimating-cate-on-the-neglected-assumptions-in-benchmark-comparisons-of-treatment-effect-estimators-2107.13346"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-inference-in-state-space-models-2107.13349</loc><lastmod>2022-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-inference-in-state-space-models-2107.13349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-inference-in-state-space-models-2107.13349"/></url>
<url><loc>https://scifaro.com/en/abs/fast-wireless-sensor-anomaly-detection-based-on-data-stream-in-edge-computing-enabled-smart-greenhouse-2107.13353</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-wireless-sensor-anomaly-detection-based-on-data-stream-in-edge-computing-enabled-smart-greenhouse-2107.13353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-wireless-sensor-anomaly-detection-based-on-data-stream-in-edge-computing-enabled-smart-greenhouse-2107.13353"/></url>
<url><loc>https://scifaro.com/en/abs/snippet-policy-network-for-multi-class-varied-length-ecg-early-classification-2107.13361</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/snippet-policy-network-for-multi-class-varied-length-ecg-early-classification-2107.13361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/snippet-policy-network-for-multi-class-varied-length-ecg-early-classification-2107.13361"/></url>
<url><loc>https://scifaro.com/en/abs/unstructured-handwashing-recognition-using-smartwatch-to-reduce-contact-transmission-of-pathogens-2107.13405</loc><lastmod>2022-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unstructured-handwashing-recognition-using-smartwatch-to-reduce-contact-transmission-of-pathogens-2107.13405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unstructured-handwashing-recognition-using-smartwatch-to-reduce-contact-transmission-of-pathogens-2107.13405"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-precision-training-adapt-a-dynamic-fixed-point-quantized-training-approach-for-dnns-2107.13490</loc><lastmod>2023-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-precision-training-adapt-a-dynamic-fixed-point-quantized-training-approach-for-dnns-2107.13490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-precision-training-adapt-a-dynamic-fixed-point-quantized-training-approach-for-dnns-2107.13490"/></url>
<url><loc>https://scifaro.com/en/abs/models-of-computational-profiles-to-study-the-likelihood-of-dnn-metamorphic-test-cases-2107.13491</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/models-of-computational-profiles-to-study-the-likelihood-of-dnn-metamorphic-test-cases-2107.13491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/models-of-computational-profiles-to-study-the-likelihood-of-dnn-metamorphic-test-cases-2107.13491"/></url>
<url><loc>https://scifaro.com/en/abs/deep-recurrent-semi-supervised-eeg-representation-learning-for-emotion-recognition-2107.13505</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-recurrent-semi-supervised-eeg-representation-learning-for-emotion-recognition-2107.13505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-recurrent-semi-supervised-eeg-representation-learning-for-emotion-recognition-2107.13505"/></url>
<url><loc>https://scifaro.com/en/abs/the-reasonable-crowd-towards-evidence-based-and-interpretable-models-of-driving-behavior-2107.13507</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-reasonable-crowd-towards-evidence-based-and-interpretable-models-of-driving-behavior-2107.13507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-reasonable-crowd-towards-evidence-based-and-interpretable-models-of-driving-behavior-2107.13507"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-aware-credit-card-fraud-detection-using-deep-learning-2107.13508</loc><lastmod>2021-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-aware-credit-card-fraud-detection-using-deep-learning-2107.13508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-aware-credit-card-fraud-detection-using-deep-learning-2107.13508"/></url>
<url><loc>https://scifaro.com/en/abs/fully-autonomous-real-world-reinforcement-learning-with-applications-to-mobile-manipulation-2107.13545</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-autonomous-real-world-reinforcement-learning-with-applications-to-mobile-manipulation-2107.13545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-autonomous-real-world-reinforcement-learning-with-applications-to-mobile-manipulation-2107.13545"/></url>
<url><loc>https://scifaro.com/en/abs/social-processes-self-supervised-meta-learning-over-conversational-groups-for-forecasting-nonverbal-social-cues-2107.13576</loc><lastmod>2022-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/social-processes-self-supervised-meta-learning-over-conversational-groups-for-forecasting-nonverbal-social-cues-2107.13576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/social-processes-self-supervised-meta-learning-over-conversational-groups-for-forecasting-nonverbal-social-cues-2107.13576"/></url>
<url><loc>https://scifaro.com/en/abs/to-boost-or-not-to-boost-on-the-limits-of-boosted-neural-networks-2107.13600</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-boost-or-not-to-boost-on-the-limits-of-boosted-neural-networks-2107.13600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-boost-or-not-to-boost-on-the-limits-of-boosted-neural-networks-2107.13600"/></url>
<url><loc>https://scifaro.com/en/abs/large-sample-spectral-analysis-of-graph-based-multi-manifold-clustering-2107.13610</loc><lastmod>2022-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-sample-spectral-analysis-of-graph-based-multi-manifold-clustering-2107.13610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-sample-spectral-analysis-of-graph-based-multi-manifold-clustering-2107.13610"/></url>
<url><loc>https://scifaro.com/en/abs/adaptation-and-generalization-for-unknown-sensitive-factors-of-variations-2107.13625</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptation-and-generalization-for-unknown-sensitive-factors-of-variations-2107.13625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptation-and-generalization-for-unknown-sensitive-factors-of-variations-2107.13625"/></url>
<url><loc>https://scifaro.com/en/abs/imbalanced-adversarial-training-with-reweighting-2107.13639</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imbalanced-adversarial-training-with-reweighting-2107.13639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imbalanced-adversarial-training-with-reweighting-2107.13639"/></url>
<url><loc>https://scifaro.com/en/abs/spot-what-matters-learning-context-using-graph-convolutional-networks-for-weakly-supervised-action-detection-2107.13648</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spot-what-matters-learning-context-using-graph-convolutional-networks-for-weakly-supervised-action-detection-2107.13648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spot-what-matters-learning-context-using-graph-convolutional-networks-for-weakly-supervised-action-detection-2107.13648"/></url>
<url><loc>https://scifaro.com/en/abs/demand-forecasting-in-smart-grid-using-long-short-term-memory-2107.13653</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demand-forecasting-in-smart-grid-using-long-short-term-memory-2107.13653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demand-forecasting-in-smart-grid-using-long-short-term-memory-2107.13653"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-the-generalization-error-of-gibbs-algorithm-with-symmetrized-kl-information-2107.13656</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-the-generalization-error-of-gibbs-algorithm-with-symmetrized-kl-information-2107.13656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-the-generalization-error-of-gibbs-algorithm-with-symmetrized-kl-information-2107.13656"/></url>
<url><loc>https://scifaro.com/en/abs/relational-graph-neural-networks-for-fraud-detection-in-a-super-app-environment-2107.13673</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-graph-neural-networks-for-fraud-detection-in-a-super-app-environment-2107.13673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-graph-neural-networks-for-fraud-detection-in-a-super-app-environment-2107.13673"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-for-min-max-optimization-2107.13772</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-for-min-max-optimization-2107.13772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-for-min-max-optimization-2107.13772"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-co-learning-challenges-applications-with-datasets-recent-advances-and-future-directions-2107.13782</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-co-learning-challenges-applications-with-datasets-recent-advances-and-future-directions-2107.13782"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-co-learning-challenges-applications-with-datasets-recent-advances-and-future-directions-2107.13782"/></url>
<url><loc>https://scifaro.com/en/abs/non-markovian-reinforcement-learning-using-fractional-dynamics-2107.13790</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-markovian-reinforcement-learning-using-fractional-dynamics-2107.13790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-markovian-reinforcement-learning-using-fractional-dynamics-2107.13790"/></url>
<url><loc>https://scifaro.com/en/abs/haflo-gpu-based-acceleration-for-federated-logistic-regression-2107.13797</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/haflo-gpu-based-acceleration-for-federated-logistic-regression-2107.13797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/haflo-gpu-based-acceleration-for-federated-logistic-regression-2107.13797"/></url>
<url><loc>https://scifaro.com/en/abs/concept-for-a-technical-infrastructure-for-management-of-predictive-models-in-industrial-applications-2107.13821</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-for-a-technical-infrastructure-for-management-of-predictive-models-in-industrial-applications-2107.13821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-for-a-technical-infrastructure-for-management-of-predictive-models-in-industrial-applications-2107.13821"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-battery-end-of-life-from-solar-off-grid-system-field-data-using-machine-learning-2107.13856</loc><lastmod>2022-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-battery-end-of-life-from-solar-off-grid-system-field-data-using-machine-learning-2107.13856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-battery-end-of-life-from-solar-off-grid-system-field-data-using-machine-learning-2107.13856"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-intelligence-hybrid-deep-learning-model-for-groundwater-level-prediction-using-mlp-adam-2107.13870</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-intelligence-hybrid-deep-learning-model-for-groundwater-level-prediction-using-mlp-adam-2107.13870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-intelligence-hybrid-deep-learning-model-for-groundwater-level-prediction-using-mlp-adam-2107.13870"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-graph-neural-networks-for-multi-site-pv-power-forecasting-2107.13875</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-graph-neural-networks-for-multi-site-pv-power-forecasting-2107.13875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-graph-neural-networks-for-multi-site-pv-power-forecasting-2107.13875"/></url>
<url><loc>https://scifaro.com/en/abs/quped-quantized-personalization-via-distillation-with-applications-to-federated-learning-2107.13892</loc><lastmod>2022-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quped-quantized-personalization-via-distillation-with-applications-to-federated-learning-2107.13892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quped-quantized-personalization-via-distillation-with-applications-to-federated-learning-2107.13892"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-micro-influencers-a-novel-multi-task-learning-and-interpretable-framework-2107.13943</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-micro-influencers-a-novel-multi-task-learning-and-interpretable-framework-2107.13943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-micro-influencers-a-novel-multi-task-learning-and-interpretable-framework-2107.13943"/></url>
<url><loc>https://scifaro.com/en/abs/lyapunov-based-uncertainty-aware-safe-reinforcement-learning-2107.13944</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lyapunov-based-uncertainty-aware-safe-reinforcement-learning-2107.13944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lyapunov-based-uncertainty-aware-safe-reinforcement-learning-2107.13944"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-and-deep-learning-methods-for-building-intelligent-systems-in-medicine-and-drug-discovery-a-comprehensive-survey-2107.14037</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-and-deep-learning-methods-for-building-intelligent-systems-in-medicine-and-drug-discovery-a-comprehensive-survey-2107.14037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-and-deep-learning-methods-for-building-intelligent-systems-in-medicine-and-drug-discovery-a-comprehensive-survey-2107.14037"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-and-continual-learning-with-attentive-independent-mechanisms-2107.14053</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-and-continual-learning-with-attentive-independent-mechanisms-2107.14053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-and-continual-learning-with-attentive-independent-mechanisms-2107.14053"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-optimization-and-explanation-for-stroke-risk-assessment-in-shanxi-province-2107.14060</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-optimization-and-explanation-for-stroke-risk-assessment-in-shanxi-province-2107.14060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-optimization-and-explanation-for-stroke-risk-assessment-in-shanxi-province-2107.14060"/></url>
<url><loc>https://scifaro.com/en/abs/structure-and-performance-of-fully-connected-neural-networks-emerging-complex-network-properties-2107.14062</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-and-performance-of-fully-connected-neural-networks-emerging-complex-network-properties-2107.14062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-and-performance-of-fully-connected-neural-networks-emerging-complex-network-properties-2107.14062"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-adversarial-robustness-via-test-time-transformation-ensembling-2107.14110</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-adversarial-robustness-via-test-time-transformation-ensembling-2107.14110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-adversarial-robustness-via-test-time-transformation-ensembling-2107.14110"/></url>
<url><loc>https://scifaro.com/en/abs/tianshou-a-highly-modularized-deep-reinforcement-learning-library-2107.14171</loc><lastmod>2022-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tianshou-a-highly-modularized-deep-reinforcement-learning-library-2107.14171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tianshou-a-highly-modularized-deep-reinforcement-learning-library-2107.14171"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-combined-effect-of-class-imbalance-and-concept-complexity-in-deep-learning-2107.14194</loc><lastmod>2021-07-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-combined-effect-of-class-imbalance-and-concept-complexity-in-deep-learning-2107.14194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-combined-effect-of-class-imbalance-and-concept-complexity-in-deep-learning-2107.14194"/></url>
<url><loc>https://scifaro.com/en/abs/learning-more-skills-through-optimistic-exploration-2107.14226</loc><lastmod>2022-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-more-skills-through-optimistic-exploration-2107.14226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-more-skills-through-optimistic-exploration-2107.14226"/></url>
<url><loc>https://scifaro.com/en/abs/batch-active-learning-at-scale-2107.14263</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-active-learning-at-scale-2107.14263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-active-learning-at-scale-2107.14263"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-transformer-for-sparse-and-irregularly-sampled-multivariate-clinical-time-series-2107.14293</loc><lastmod>2022-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-transformer-for-sparse-and-irregularly-sampled-multivariate-clinical-time-series-2107.14293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-transformer-for-sparse-and-irregularly-sampled-multivariate-clinical-time-series-2107.14293"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-dependencies-in-feature-importance-for-time-series-predictions-2107.14317</loc><lastmod>2023-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-dependencies-in-feature-importance-for-time-series-predictions-2107.14317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-dependencies-in-feature-importance-for-time-series-predictions-2107.14317"/></url>
<url><loc>https://scifaro.com/en/abs/mlmod-machine-learning-methods-for-data-driven-modeling-in-lammps-2107.14362</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mlmod-machine-learning-methods-for-data-driven-modeling-in-lammps-2107.14362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mlmod-machine-learning-methods-for-data-driven-modeling-in-lammps-2107.14362"/></url>
<url><loc>https://scifaro.com/en/abs/opensync-an-opensource-platform-for-synchronizing-multiple-measures-in-neuroscience-experiments-2107.14367</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opensync-an-opensource-platform-for-synchronizing-multiple-measures-in-neuroscience-experiments-2107.14367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opensync-an-opensource-platform-for-synchronizing-multiple-measures-in-neuroscience-experiments-2107.14367"/></url>
<url><loc>https://scifaro.com/en/abs/otimizacao-de-pesos-e-funcoes-de-ativacao-de-redes-neurais-aplicadas-na-previsao-de-series-temporais-2107.14370</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/otimizacao-de-pesos-e-funcoes-de-ativacao-de-redes-neurais-aplicadas-na-previsao-de-series-temporais-2107.14370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/otimizacao-de-pesos-e-funcoes-de-ativacao-de-redes-neurais-aplicadas-na-previsao-de-series-temporais-2107.14370"/></url>
<url><loc>https://scifaro.com/en/abs/using-transfer-learning-to-study-burned-area-dynamics-a-case-study-of-refugee-settlements-in-west-nile-northern-uganda-2107.14372</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-transfer-learning-to-study-burned-area-dynamics-a-case-study-of-refugee-settlements-in-west-nile-northern-uganda-2107.14372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-transfer-learning-to-study-burned-area-dynamics-a-case-study-of-refugee-settlements-in-west-nile-northern-uganda-2107.14372"/></url>
<url><loc>https://scifaro.com/en/abs/random-vector-functional-link-neural-network-based-ensemble-deep-learning-for-short-term-load-forecasting-2107.14385</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-vector-functional-link-neural-network-based-ensemble-deep-learning-for-short-term-load-forecasting-2107.14385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-vector-functional-link-neural-network-based-ensemble-deep-learning-for-short-term-load-forecasting-2107.14385"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-interpretation-of-linear-riemannian-tangent-space-model-parameters-in-m-eeg-2107.14398</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-interpretation-of-linear-riemannian-tangent-space-model-parameters-in-m-eeg-2107.14398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-interpretation-of-linear-riemannian-tangent-space-model-parameters-in-m-eeg-2107.14398"/></url>
<url><loc>https://scifaro.com/en/abs/creating-powerful-and-interpretable-models-with-regression-networks-2107.14417</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/creating-powerful-and-interpretable-models-with-regression-networks-2107.14417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/creating-powerful-and-interpretable-models-with-regression-networks-2107.14417"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-optimizers-with-sparse-group-lasso-for-neural-networks-in-ctr-prediction-2107.14432</loc><lastmod>2024-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-optimizers-with-sparse-group-lasso-for-neural-networks-in-ctr-prediction-2107.14432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-optimizers-with-sparse-group-lasso-for-neural-networks-in-ctr-prediction-2107.14432"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-entropy-dueling-network-architecture-in-atari-domain-2107.14457</loc><lastmod>2022-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-entropy-dueling-network-architecture-in-atari-domain-2107.14457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-entropy-dueling-network-architecture-in-atari-domain-2107.14457"/></url>
<url><loc>https://scifaro.com/en/abs/trusted-maximizers-entropy-search-for-efficient-bayesian-optimization-2107.14465</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trusted-maximizers-entropy-search-for-efficient-bayesian-optimization-2107.14465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trusted-maximizers-entropy-search-for-efficient-bayesian-optimization-2107.14465"/></url>
<url><loc>https://scifaro.com/en/abs/maniskill-generalizable-manipulation-skill-benchmark-with-large-scale-demonstrations-2107.14483</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maniskill-generalizable-manipulation-skill-benchmark-with-large-scale-demonstrations-2107.14483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maniskill-generalizable-manipulation-skill-benchmark-with-large-scale-demonstrations-2107.14483"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-modelling-for-injection-molding-processes-using-machine-learning-2107.14574</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-modelling-for-injection-molding-processes-using-machine-learning-2107.14574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-modelling-for-injection-molding-processes-using-machine-learning-2107.14574"/></url>
<url><loc>https://scifaro.com/en/abs/dq-sgd-dynamic-quantization-in-sgd-for-communication-efficient-distributed-learning-2107.14575</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dq-sgd-dynamic-quantization-in-sgd-for-communication-efficient-distributed-learning-2107.14575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dq-sgd-dynamic-quantization-in-sgd-for-communication-efficient-distributed-learning-2107.14575"/></url>
<url><loc>https://scifaro.com/en/abs/neuraldp-differentially-private-neural-networks-by-design-2107.14582</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuraldp-differentially-private-neural-networks-by-design-2107.14582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuraldp-differentially-private-neural-networks-by-design-2107.14582"/></url>
<url><loc>https://scifaro.com/en/abs/text-classification-and-clustering-with-annealing-soft-nearest-neighbor-loss-2107.14597</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/text-classification-and-clustering-with-annealing-soft-nearest-neighbor-loss-2107.14597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/text-classification-and-clustering-with-annealing-soft-nearest-neighbor-loss-2107.14597"/></url>
<url><loc>https://scifaro.com/en/abs/who-s-afraid-of-thomas-bayes-2107.14601</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/who-s-afraid-of-thomas-bayes-2107.14601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/who-s-afraid-of-thomas-bayes-2107.14601"/></url>
<url><loc>https://scifaro.com/en/abs/an-iterative-coordinate-descent-algorithm-to-compute-sparse-low-rank-approximations-2107.14608</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-iterative-coordinate-descent-algorithm-to-compute-sparse-low-rank-approximations-2107.14608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-iterative-coordinate-descent-algorithm-to-compute-sparse-low-rank-approximations-2107.14608"/></url>
<url><loc>https://scifaro.com/en/abs/incorporation-of-deep-neural-network-reinforcement-learning-with-domain-knowledge-2107.14613</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporation-of-deep-neural-network-reinforcement-learning-with-domain-knowledge-2107.14613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporation-of-deep-neural-network-reinforcement-learning-with-domain-knowledge-2107.14613"/></url>
<url><loc>https://scifaro.com/en/abs/strategically-efficient-exploration-in-competitive-multi-agent-reinforcement-learning-2107.14698</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strategically-efficient-exploration-in-competitive-multi-agent-reinforcement-learning-2107.14698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strategically-efficient-exploration-in-competitive-multi-agent-reinforcement-learning-2107.14698"/></url>
<url><loc>https://scifaro.com/en/abs/when-deep-learners-change-their-mind-learning-dynamics-for-active-learning-2107.14707</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-deep-learners-change-their-mind-learning-dynamics-for-active-learning-2107.14707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-deep-learners-change-their-mind-learning-dynamics-for-active-learning-2107.14707"/></url>
<url><loc>https://scifaro.com/en/abs/tiny-machine-learning-for-concept-drift-2107.14759</loc><lastmod>2021-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tiny-machine-learning-for-concept-drift-2107.14759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tiny-machine-learning-for-concept-drift-2107.14759"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-efficacy-of-small-self-supervised-contrastive-models-without-distillation-signals-2107.14762</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-efficacy-of-small-self-supervised-contrastive-models-without-distillation-signals-2107.14762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-efficacy-of-small-self-supervised-contrastive-models-without-distillation-signals-2107.14762"/></url>
<url><loc>https://scifaro.com/en/abs/perceiver-io-a-general-architecture-for-structured-inputs-outputs-2107.14795</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perceiver-io-a-general-architecture-for-structured-inputs-outputs-2107.14795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perceiver-io-a-general-architecture-for-structured-inputs-outputs-2107.14795"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-modeling-of-time-domain-induced-polarization-2107.14796</loc><lastmod>2024-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-modeling-of-time-domain-induced-polarization-2107.14796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-modeling-of-time-domain-induced-polarization-2107.14796"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-machine-learning-method-for-large-scale-data-assimilation-problems-2108.00037</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-machine-learning-method-for-large-scale-data-assimilation-problems-2108.00037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-machine-learning-method-for-large-scale-data-assimilation-problems-2108.00037"/></url>
<url><loc>https://scifaro.com/en/abs/coordinate-descent-on-the-orthogonal-group-for-recurrent-neural-network-training-2108.00051</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coordinate-descent-on-the-orthogonal-group-for-recurrent-neural-network-training-2108.00051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coordinate-descent-on-the-orthogonal-group-for-recurrent-neural-network-training-2108.00051"/></url>
<url><loc>https://scifaro.com/en/abs/model-preserving-compression-for-neural-networks-2108.00065</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-preserving-compression-for-neural-networks-2108.00065"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-preserving-compression-for-neural-networks-2108.00065"/></url>
<url><loc>https://scifaro.com/en/abs/foundations-of-data-imbalance-and-solutions-for-a-data-democracy-2108.00071</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/foundations-of-data-imbalance-and-solutions-for-a-data-democracy-2108.00071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/foundations-of-data-imbalance-and-solutions-for-a-data-democracy-2108.00071"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-train-density-estimation-2108.00089</loc><lastmod>2022-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-train-density-estimation-2108.00089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-train-density-estimation-2108.00089"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-approach-to-predict-blood-pressure-from-ppg-signals-2108.00099</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-predict-blood-pressure-from-ppg-signals-2108.00099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-approach-to-predict-blood-pressure-from-ppg-signals-2108.00099"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-with-neural-parsers-that-never-reject-2108.00103</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-with-neural-parsers-that-never-reject-2108.00103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-with-neural-parsers-that-never-reject-2108.00103"/></url>
<url><loc>https://scifaro.com/en/abs/soft-calibration-objectives-for-neural-networks-2108.00106</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-calibration-objectives-for-neural-networks-2108.00106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-calibration-objectives-for-neural-networks-2108.00106"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-dyna-style-model-based-deep-reinforcement-learning-for-dynamic-control-2108.00128</loc><lastmod>2022-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-dyna-style-model-based-deep-reinforcement-learning-for-dynamic-control-2108.00128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-dyna-style-model-based-deep-reinforcement-learning-for-dynamic-control-2108.00128"/></url>
<url><loc>https://scifaro.com/en/abs/simple-fast-and-flexible-framework-for-matrix-completion-with-infinite-width-neural-networks-2108.00131</loc><lastmod>2022-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-fast-and-flexible-framework-for-matrix-completion-with-infinite-width-neural-networks-2108.00131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-fast-and-flexible-framework-for-matrix-completion-with-infinite-width-neural-networks-2108.00131"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-control-dc-motor-for-micromobility-in-real-time-with-reinforcement-learning-2108.00138</loc><lastmod>2024-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-control-dc-motor-for-micromobility-in-real-time-with-reinforcement-learning-2108.00138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-control-dc-motor-for-micromobility-in-real-time-with-reinforcement-learning-2108.00138"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-stress-monitoring-using-wearable-sensors-in-everyday-settings-2108.00144</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-stress-monitoring-using-wearable-sensors-in-everyday-settings-2108.00144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-stress-monitoring-using-wearable-sensors-in-everyday-settings-2108.00144"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-noisy-labels-via-sparse-regularization-2108.00192</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-noisy-labels-via-sparse-regularization-2108.00192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-noisy-labels-via-sparse-regularization-2108.00192"/></url>
<url><loc>https://scifaro.com/en/abs/the-separation-capacity-of-random-neural-networks-2108.00207</loc><lastmod>2022-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-separation-capacity-of-random-neural-networks-2108.00207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-separation-capacity-of-random-neural-networks-2108.00207"/></url>
<url><loc>https://scifaro.com/en/abs/a-plant-root-system-algorithm-based-on-swarm-intelligence-for-one-dimensional-biomedical-signal-feature-engineering-2108.00214</loc><lastmod>2023-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-plant-root-system-algorithm-based-on-swarm-intelligence-for-one-dimensional-biomedical-signal-feature-engineering-2108.00214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-plant-root-system-algorithm-based-on-swarm-intelligence-for-one-dimensional-biomedical-signal-feature-engineering-2108.00214"/></url>
<url><loc>https://scifaro.com/en/abs/freezing-sub-models-during-incremental-process-discovery-extended-version-2108.00215</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/freezing-sub-models-during-incremental-process-discovery-extended-version-2108.00215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/freezing-sub-models-during-incremental-process-discovery-extended-version-2108.00215"/></url>
<url><loc>https://scifaro.com/en/abs/grain-improving-data-efficiency-of-graph-neural-networks-via-diversified-influence-maximization-2108.00219</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grain-improving-data-efficiency-of-graph-neural-networks-via-diversified-influence-maximization-2108.00219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grain-improving-data-efficiency-of-graph-neural-networks-via-diversified-influence-maximization-2108.00219"/></url>
<url><loc>https://scifaro.com/en/abs/debiasing-samples-from-online-learning-using-bootstrap-2108.00236</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/debiasing-samples-from-online-learning-using-bootstrap-2108.00236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/debiasing-samples-from-online-learning-using-bootstrap-2108.00236"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-analysis-of-the-prevalence-bias-learning-and-predicting-from-imbalanced-data-2108.00250</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-analysis-of-the-prevalence-bias-learning-and-predicting-from-imbalanced-data-2108.00250"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-analysis-of-the-prevalence-bias-learning-and-predicting-from-imbalanced-data-2108.00250"/></url>
<url><loc>https://scifaro.com/en/abs/boa-pta-a-bayesian-optimization-accelerated-error-free-spice-solver-2108.00257</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boa-pta-a-bayesian-optimization-accelerated-error-free-spice-solver-2108.00257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boa-pta-a-bayesian-optimization-accelerated-error-free-spice-solver-2108.00257"/></url>
<url><loc>https://scifaro.com/en/abs/a-hybrid-ensemble-feature-selection-design-for-candidate-biomarkers-discovery-from-transcriptome-profiles-2108.00290</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hybrid-ensemble-feature-selection-design-for-candidate-biomarkers-discovery-from-transcriptome-profiles-2108.00290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hybrid-ensemble-feature-selection-design-for-candidate-biomarkers-discovery-from-transcriptome-profiles-2108.00290"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-reinforcement-learning-for-strategy-identification-2108.00293</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-for-strategy-identification-2108.00293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-reinforcement-learning-for-strategy-identification-2108.00293"/></url>
<url><loc>https://scifaro.com/en/abs/fair-representation-learning-using-interpolation-enabled-disentanglement-2108.00295</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-representation-learning-using-interpolation-enabled-disentanglement-2108.00295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-representation-learning-using-interpolation-enabled-disentanglement-2108.00295"/></url>
<url><loc>https://scifaro.com/en/abs/filling-the-g-ap-s-multivariate-time-series-imputation-by-graph-neural-networks-2108.00298</loc><lastmod>2022-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/filling-the-g-ap-s-multivariate-time-series-imputation-by-graph-neural-networks-2108.00298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/filling-the-g-ap-s-multivariate-time-series-imputation-by-graph-neural-networks-2108.00298"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-bures-metric-for-domain-adaptation-2108.00302</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-bures-metric-for-domain-adaptation-2108.00302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-bures-metric-for-domain-adaptation-2108.00302"/></url>
<url><loc>https://scifaro.com/en/abs/bilevel-optimization-for-machine-learning-algorithm-design-and-convergence-analysis-2108.00330</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bilevel-optimization-for-machine-learning-algorithm-design-and-convergence-analysis-2108.00330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bilevel-optimization-for-machine-learning-algorithm-design-and-convergence-analysis-2108.00330"/></url>
<url><loc>https://scifaro.com/en/abs/faster-rates-of-private-stochastic-convex-optimization-2108.00331</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-rates-of-private-stochastic-convex-optimization-2108.00331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-rates-of-private-stochastic-convex-optimization-2108.00331"/></url>
<url><loc>https://scifaro.com/en/abs/ipof-an-extremely-and-excitingly-simple-outlier-detection-booster-via-infinite-propagation-2108.00360</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ipof-an-extremely-and-excitingly-simple-outlier-detection-booster-via-infinite-propagation-2108.00360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ipof-an-extremely-and-excitingly-simple-outlier-detection-booster-via-infinite-propagation-2108.00360"/></url>
<url><loc>https://scifaro.com/en/abs/a-decentralized-federated-learning-framework-via-committee-mechanism-with-convergence-guarantee-2108.00365</loc><lastmod>2022-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-decentralized-federated-learning-framework-via-committee-mechanism-with-convergence-guarantee-2108.00365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-decentralized-federated-learning-framework-via-committee-mechanism-with-convergence-guarantee-2108.00365"/></url>
<url><loc>https://scifaro.com/en/abs/spear-semi-supervised-data-programming-in-python-2108.00373</loc><lastmod>2022-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spear-semi-supervised-data-programming-in-python-2108.00373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spear-semi-supervised-data-programming-in-python-2108.00373"/></url>
<url><loc>https://scifaro.com/en/abs/masking-neural-networks-using-reachability-graphs-to-predict-process-events-2108.00404</loc><lastmod>2022-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/masking-neural-networks-using-reachability-graphs-to-predict-process-events-2108.00404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/masking-neural-networks-using-reachability-graphs-to-predict-process-events-2108.00404"/></url>
<url><loc>https://scifaro.com/en/abs/automated-pest-detection-with-dnn-on-the-edge-for-precision-agriculture-2108.00421</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-pest-detection-with-dnn-on-the-edge-for-precision-agriculture-2108.00421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-pest-detection-with-dnn-on-the-edge-for-precision-agriculture-2108.00421"/></url>
<url><loc>https://scifaro.com/en/abs/transformer-based-map-matching-model-with-limited-ground-truth-data-using-transfer-learning-approach-2108.00439</loc><lastmod>2023-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformer-based-map-matching-model-with-limited-ground-truth-data-using-transfer-learning-approach-2108.00439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformer-based-map-matching-model-with-limited-ground-truth-data-using-transfer-learning-approach-2108.00439"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-monte-carlo-methods-for-noisy-and-costly-densities-with-application-to-reinforcement-learning-and-abc-2108.00490</loc><lastmod>2025-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-monte-carlo-methods-for-noisy-and-costly-densities-with-application-to-reinforcement-learning-and-abc-2108.00490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-monte-carlo-methods-for-noisy-and-costly-densities-with-application-to-reinforcement-learning-and-abc-2108.00490"/></url>
<url><loc>https://scifaro.com/en/abs/certified-defense-via-latent-space-randomized-smoothing-with-orthogonal-encoders-2108.00491</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certified-defense-via-latent-space-randomized-smoothing-with-orthogonal-encoders-2108.00491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certified-defense-via-latent-space-randomized-smoothing-with-orthogonal-encoders-2108.00491"/></url>
<url><loc>https://scifaro.com/en/abs/deeptrack-lightweight-deep-learning-for-vehicle-path-prediction-in-highways-2108.00505</loc><lastmod>2022-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeptrack-lightweight-deep-learning-for-vehicle-path-prediction-in-highways-2108.00505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeptrack-lightweight-deep-learning-for-vehicle-path-prediction-in-highways-2108.00505"/></url>
<url><loc>https://scifaro.com/en/abs/gates-are-not-what-you-need-in-rnns-2108.00527</loc><lastmod>2023-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gates-are-not-what-you-need-in-rnns-2108.00527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gates-are-not-what-you-need-in-rnns-2108.00527"/></url>
<url><loc>https://scifaro.com/en/abs/exact-pareto-optimal-search-for-multi-task-learning-and-multi-criteria-decision-making-2108.00597</loc><lastmod>2023-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-pareto-optimal-search-for-multi-task-learning-and-multi-criteria-decision-making-2108.00597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-pareto-optimal-search-for-multi-task-learning-and-multi-criteria-decision-making-2108.00597"/></url>
<url><loc>https://scifaro.com/en/abs/bucketed-pca-neural-networks-with-neurons-mirroring-signals-2108.00605</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bucketed-pca-neural-networks-with-neurons-mirroring-signals-2108.00605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bucketed-pca-neural-networks-with-neurons-mirroring-signals-2108.00605"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-t-momentum-based-optimization-for-unknown-ratio-of-outliers-in-amateur-data-in-imitation-learning-2108.00625</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-t-momentum-based-optimization-for-unknown-ratio-of-outliers-in-amateur-data-in-imitation-learning-2108.00625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-t-momentum-based-optimization-for-unknown-ratio-of-outliers-in-amateur-data-in-imitation-learning-2108.00625"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-calibration-of-low-cost-air-pollution-pm2-5-sensors-using-meta-learning-2108.00640</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-calibration-of-low-cost-air-pollution-pm2-5-sensors-using-meta-learning-2108.00640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-calibration-of-low-cost-air-pollution-pm2-5-sensors-using-meta-learning-2108.00640"/></url>
<url><loc>https://scifaro.com/en/abs/learning-who-is-in-the-market-from-time-series-market-participant-discovery-through-adversarial-calibration-of-multi-agent-simulators-2108.00664</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-who-is-in-the-market-from-time-series-market-participant-discovery-through-adversarial-calibration-of-multi-agent-simulators-2108.00664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-who-is-in-the-market-from-time-series-market-participant-discovery-through-adversarial-calibration-of-multi-agent-simulators-2108.00664"/></url>
<url><loc>https://scifaro.com/en/abs/piecewise-linear-units-improve-deep-neural-networks-2108.00700</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/piecewise-linear-units-improve-deep-neural-networks-2108.00700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/piecewise-linear-units-improve-deep-neural-networks-2108.00700"/></url>
<url><loc>https://scifaro.com/en/abs/information-stealing-in-federated-learning-systems-based-on-generative-adversarial-networks-2108.00701</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-stealing-in-federated-learning-systems-based-on-generative-adversarial-networks-2108.00701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-stealing-in-federated-learning-systems-based-on-generative-adversarial-networks-2108.00701"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-model-for-hydraulic-fracturing-design-optimization-part-ii-inverse-problem-2108.00751</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-model-for-hydraulic-fracturing-design-optimization-part-ii-inverse-problem-2108.00751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-model-for-hydraulic-fracturing-design-optimization-part-ii-inverse-problem-2108.00751"/></url>
<url><loc>https://scifaro.com/en/abs/carla-a-python-library-to-benchmark-algorithmic-recourse-and-counterfactual-explanation-algorithms-2108.00783</loc><lastmod>2022-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/carla-a-python-library-to-benchmark-algorithmic-recourse-and-counterfactual-explanation-algorithms-2108.00783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/carla-a-python-library-to-benchmark-algorithmic-recourse-and-counterfactual-explanation-algorithms-2108.00783"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-active-meta-learning-for-few-pilot-demodulation-and-equalization-2108.00785</loc><lastmod>2023-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-active-meta-learning-for-few-pilot-demodulation-and-equalization-2108.00785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-active-meta-learning-for-few-pilot-demodulation-and-equalization-2108.00785"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-in-gaussian-process-state-space-model-2108.00819</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-in-gaussian-process-state-space-model-2108.00819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-in-gaussian-process-state-space-model-2108.00819"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-against-deep-reinforcement-learning-framework-in-internet-of-vehicles-2108.00833</loc><lastmod>2022-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-against-deep-reinforcement-learning-framework-in-internet-of-vehicles-2108.00833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-against-deep-reinforcement-learning-framework-in-internet-of-vehicles-2108.00833"/></url>
<url><loc>https://scifaro.com/en/abs/densely-connected-neural-networks-for-nonlinear-regression-2108.00864</loc><lastmod>2022-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/densely-connected-neural-networks-for-nonlinear-regression-2108.00864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/densely-connected-neural-networks-for-nonlinear-regression-2108.00864"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-domain-adaptation-for-end-to-end-communication-2108.00874</loc><lastmod>2023-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-domain-adaptation-for-end-to-end-communication-2108.00874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-domain-adaptation-for-end-to-end-communication-2108.00874"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-approach-for-rapid-disaster-response-based-on-multi-modal-data-the-case-of-housing-shelter-needs-2108.00887</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-approach-for-rapid-disaster-response-based-on-multi-modal-data-the-case-of-housing-shelter-needs-2108.00887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-approach-for-rapid-disaster-response-based-on-multi-modal-data-the-case-of-housing-shelter-needs-2108.00887"/></url>
<url><loc>https://scifaro.com/en/abs/indexability-and-rollout-policy-for-multi-state-partially-observable-restless-bandits-2108.00892</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/indexability-and-rollout-policy-for-multi-state-partially-observable-restless-bandits-2108.00892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/indexability-and-rollout-policy-for-multi-state-partially-observable-restless-bandits-2108.00892"/></url>
<url><loc>https://scifaro.com/en/abs/static-analysis-of-relu-neural-networks-with-tropical-polyhedra-2108.00893</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/static-analysis-of-relu-neural-networks-with-tropical-polyhedra-2108.00893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/static-analysis-of-relu-neural-networks-with-tropical-polyhedra-2108.00893"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-sparse-spherical-k-means-for-document-clustering-2108.00895</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-sparse-spherical-k-means-for-document-clustering-2108.00895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-sparse-spherical-k-means-for-document-clustering-2108.00895"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-human-in-the-loop-for-machine-learning-2108.00941</loc><lastmod>2022-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-human-in-the-loop-for-machine-learning-2108.00941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-human-in-the-loop-for-machine-learning-2108.00941"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-gradient-sparsification-as-total-error-minimization-2108.00951</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-gradient-sparsification-as-total-error-minimization-2108.00951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-gradient-sparsification-as-total-error-minimization-2108.00951"/></url>
<url><loc>https://scifaro.com/en/abs/subgraph-aware-few-shot-inductive-link-prediction-via-meta-learning-2108.00954</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subgraph-aware-few-shot-inductive-link-prediction-via-meta-learning-2108.00954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subgraph-aware-few-shot-inductive-link-prediction-via-meta-learning-2108.00954"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-deep-graph-neural-networks-2108.00955</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-deep-graph-neural-networks-2108.00955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-deep-graph-neural-networks-2108.00955"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-federated-learning-for-intrusion-detection-in-internet-of-things-review-and-challenges-2108.00974</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-federated-learning-for-intrusion-detection-in-internet-of-things-review-and-challenges-2108.00974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-federated-learning-for-intrusion-detection-in-internet-of-things-review-and-challenges-2108.00974"/></url>
<url><loc>https://scifaro.com/en/abs/psa-gan-progressive-self-attention-gans-for-synthetic-time-series-2108.00981</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/psa-gan-progressive-self-attention-gans-for-synthetic-time-series-2108.00981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/psa-gan-progressive-self-attention-gans-for-synthetic-time-series-2108.00981"/></url>
<url><loc>https://scifaro.com/en/abs/sequoia-a-software-framework-to-unify-continual-learning-research-2108.01005</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequoia-a-software-framework-to-unify-continual-learning-research-2108.01005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequoia-a-software-framework-to-unify-continual-learning-research-2108.01005"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-multi-view-classification-of-features-2108.01019</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-multi-view-classification-of-features-2108.01019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-multi-view-classification-of-features-2108.01019"/></url>
<url><loc>https://scifaro.com/en/abs/cold-start-similar-artists-ranking-with-gravity-inspired-graph-autoencoders-2108.01053</loc><lastmod>2021-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cold-start-similar-artists-ranking-with-gravity-inspired-graph-autoencoders-2108.01053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cold-start-similar-artists-ranking-with-gravity-inspired-graph-autoencoders-2108.01053"/></url>
<url><loc>https://scifaro.com/en/abs/shift-robust-gnns-overcoming-the-limitations-of-localized-graph-training-data-2108.01099</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shift-robust-gnns-overcoming-the-limitations-of-localized-graph-training-data-2108.01099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shift-robust-gnns-overcoming-the-limitations-of-localized-graph-training-data-2108.01099"/></url>
<url><loc>https://scifaro.com/en/abs/batch-normalization-preconditioning-for-neural-network-training-2108.01110</loc><lastmod>2022-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-normalization-preconditioning-for-neural-network-training-2108.01110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-normalization-preconditioning-for-neural-network-training-2108.01110"/></url>
<url><loc>https://scifaro.com/en/abs/metodos-de-agrupamentos-em-dois-estagios-2108.01123</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metodos-de-agrupamentos-em-dois-estagios-2108.01123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metodos-de-agrupamentos-em-dois-estagios-2108.01123"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-quantum-classical-neural-network-for-incident-detection-2108.01127</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-quantum-classical-neural-network-for-incident-detection-2108.01127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-quantum-classical-neural-network-for-incident-detection-2108.01127"/></url>
<url><loc>https://scifaro.com/en/abs/maximizing-and-satisficing-in-multi-armed-bandits-with-graph-information-2108.01152</loc><lastmod>2022-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximizing-and-satisficing-in-multi-armed-bandits-with-graph-information-2108.01152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximizing-and-satisficing-in-multi-armed-bandits-with-graph-information-2108.01152"/></url>
<url><loc>https://scifaro.com/en/abs/mohaq-multi-objective-hardware-aware-quantization-of-recurrent-neural-networks-2108.01192</loc><lastmod>2022-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mohaq-multi-objective-hardware-aware-quantization-of-recurrent-neural-networks-2108.01192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mohaq-multi-objective-hardware-aware-quantization-of-recurrent-neural-networks-2108.01192"/></url>
<url><loc>https://scifaro.com/en/abs/variational-actor-critic-algorithms-2108.01215</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-actor-critic-algorithms-2108.01215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-actor-critic-algorithms-2108.01215"/></url>
<url><loc>https://scifaro.com/en/abs/overt-an-algorithm-for-safety-verification-of-neural-network-control-policies-for-nonlinear-systems-2108.01220</loc><lastmod>2023-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overt-an-algorithm-for-safety-verification-of-neural-network-control-policies-for-nonlinear-systems-2108.01220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overt-an-algorithm-for-safety-verification-of-neural-network-control-policies-for-nonlinear-systems-2108.01220"/></url>
<url><loc>https://scifaro.com/en/abs/memorize-factorize-or-be-na-ive-learning-optimal-feature-interaction-methods-for-ctr-prediction-2108.01265</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memorize-factorize-or-be-na-ive-learning-optimal-feature-interaction-methods-for-ctr-prediction-2108.01265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memorize-factorize-or-be-na-ive-learning-optimal-feature-interaction-methods-for-ctr-prediction-2108.01265"/></url>
<url><loc>https://scifaro.com/en/abs/process-mining-model-to-predict-mortality-in-paralytic-ileus-patients-2108.01267</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/process-mining-model-to-predict-mortality-in-paralytic-ileus-patients-2108.01267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/process-mining-model-to-predict-mortality-in-paralytic-ileus-patients-2108.01267"/></url>
<url><loc>https://scifaro.com/en/abs/toward-spatially-unbiased-generative-models-2108.01285</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-spatially-unbiased-generative-models-2108.01285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-spatially-unbiased-generative-models-2108.01285"/></url>
<url><loc>https://scifaro.com/en/abs/advrush-searching-for-adversarially-robust-neural-architectures-2108.01289</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/advrush-searching-for-adversarially-robust-neural-architectures-2108.01289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/advrush-searching-for-adversarially-robust-neural-architectures-2108.01289"/></url>
<url><loc>https://scifaro.com/en/abs/mbdp-a-model-based-approach-to-achieve-both-robustness-and-sample-efficiency-via-double-dropout-planning-2108.01295</loc><lastmod>2024-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mbdp-a-model-based-approach-to-achieve-both-robustness-and-sample-efficiency-via-double-dropout-planning-2108.01295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mbdp-a-model-based-approach-to-achieve-both-robustness-and-sample-efficiency-via-double-dropout-planning-2108.01295"/></url>
<url><loc>https://scifaro.com/en/abs/visualizing-data-using-gtsne-2108.01301</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualizing-data-using-gtsne-2108.01301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualizing-data-using-gtsne-2108.01301"/></url>
<url><loc>https://scifaro.com/en/abs/solving-fashion-recommendation-the-farfetch-challenge-2108.01314</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-fashion-recommendation-the-farfetch-challenge-2108.01314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-fashion-recommendation-the-farfetch-challenge-2108.01314"/></url>
<url><loc>https://scifaro.com/en/abs/robust-compressed-sensing-mri-with-deep-generative-priors-2108.01368</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-compressed-sensing-mri-with-deep-generative-priors-2108.01368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-compressed-sensing-mri-with-deep-generative-priors-2108.01368"/></url>
<url><loc>https://scifaro.com/en/abs/galaxai-machine-learning-toolbox-for-interpretable-analysis-of-spacecraft-telemetry-data-2108.01407</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/galaxai-machine-learning-toolbox-for-interpretable-analysis-of-spacecraft-telemetry-data-2108.01407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/galaxai-machine-learning-toolbox-for-interpretable-analysis-of-spacecraft-telemetry-data-2108.01407"/></url>
<url><loc>https://scifaro.com/en/abs/noise-resistant-deep-metric-learning-with-probabilistic-instance-filtering-2108.01431</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-resistant-deep-metric-learning-with-probabilistic-instance-filtering-2108.01431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-resistant-deep-metric-learning-with-probabilistic-instance-filtering-2108.01431"/></url>
<url><loc>https://scifaro.com/en/abs/fast-estimation-method-for-the-stability-of-ensemble-feature-selectors-2108.01485</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-estimation-method-for-the-stability-of-ensemble-feature-selectors-2108.01485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-estimation-method-for-the-stability-of-ensemble-feature-selectors-2108.01485"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-analysis-of-physical-reservoir-computers-2108.01512</loc><lastmod>2025-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-analysis-of-physical-reservoir-computers-2108.01512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-analysis-of-physical-reservoir-computers-2108.01512"/></url>
<url><loc>https://scifaro.com/en/abs/geometry-of-linear-convolutional-networks-2108.01538</loc><lastmod>2022-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometry-of-linear-convolutional-networks-2108.01538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometry-of-linear-convolutional-networks-2108.01538"/></url>
<url><loc>https://scifaro.com/en/abs/controlled-deep-reinforcement-learning-for-optimized-slice-placement-2108.01544</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlled-deep-reinforcement-learning-for-optimized-slice-placement-2108.01544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlled-deep-reinforcement-learning-for-optimized-slice-placement-2108.01544"/></url>
<url><loc>https://scifaro.com/en/abs/domain-generalization-via-gradient-surgery-2108.01621</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-generalization-via-gradient-surgery-2108.01621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-generalization-via-gradient-surgery-2108.01621"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-differentially-private-bert-2108.01624</loc><lastmod>2021-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-differentially-private-bert-2108.01624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-differentially-private-bert-2108.01624"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-with-lifting-based-adaptive-graph-wavelets-2108.01660</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-with-lifting-based-adaptive-graph-wavelets-2108.01660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-with-lifting-based-adaptive-graph-wavelets-2108.01660"/></url>
<url><loc>https://scifaro.com/en/abs/grounding-representation-similarity-with-statistical-testing-2108.01661</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grounding-representation-similarity-with-statistical-testing-2108.01661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grounding-representation-similarity-with-statistical-testing-2108.01661"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-sampling-over-episode-difficulty-2108.01662</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-sampling-over-episode-difficulty-2108.01662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-sampling-over-episode-difficulty-2108.01662"/></url>
<url><loc>https://scifaro.com/en/abs/categorical-ehr-imputation-with-generative-adversarial-nets-2108.01701</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/categorical-ehr-imputation-with-generative-adversarial-nets-2108.01701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/categorical-ehr-imputation-with-generative-adversarial-nets-2108.01701"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-the-manifold-structure-of-attributed-incentive-salience-from-large-scale-behavioural-data-a-representation-learning-approach-based-on-artificial-neural-networks-2108.01724</loc><lastmod>2022-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-the-manifold-structure-of-attributed-incentive-salience-from-large-scale-behavioural-data-a-representation-learning-approach-based-on-artificial-neural-networks-2108.01724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-the-manifold-structure-of-attributed-incentive-salience-from-large-scale-behavioural-data-a-representation-learning-approach-based-on-artificial-neural-networks-2108.01724"/></url>
<url><loc>https://scifaro.com/en/abs/http2vec-embedding-of-http-requests-for-detection-of-anomalous-traffic-2108.01763</loc><lastmod>2021-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/http2vec-embedding-of-http-requests-for-detection-of-anomalous-traffic-2108.01763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/http2vec-embedding-of-http-requests-for-detection-of-anomalous-traffic-2108.01763"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-chromatic-and-clique-numbers-of-graphs-2108.01810</loc><lastmod>2021-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-chromatic-and-clique-numbers-of-graphs-2108.01810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-chromatic-and-clique-numbers-of-graphs-2108.01810"/></url>
<url><loc>https://scifaro.com/en/abs/emergent-discrete-communication-in-semantic-spaces-2108.01828</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emergent-discrete-communication-in-semantic-spaces-2108.01828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emergent-discrete-communication-in-semantic-spaces-2108.01828"/></url>
<url><loc>https://scifaro.com/en/abs/offline-decentralized-multi-agent-reinforcement-learning-2108.01832</loc><lastmod>2023-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-decentralized-multi-agent-reinforcement-learning-2108.01832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-decentralized-multi-agent-reinforcement-learning-2108.01832"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-opponent-modeling-2108.01843</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-opponent-modeling-2108.01843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-opponent-modeling-2108.01843"/></url>
<url><loc>https://scifaro.com/en/abs/learning-barrier-certificates-towards-safe-reinforcement-learning-with-zero-training-time-violations-2108.01846</loc><lastmod>2022-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-barrier-certificates-towards-safe-reinforcement-learning-with-zero-training-time-violations-2108.01846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-barrier-certificates-towards-safe-reinforcement-learning-with-zero-training-time-violations-2108.01846"/></url>
<url><loc>https://scifaro.com/en/abs/risk-conditioned-neural-motion-planning-2108.01851</loc><lastmod>2021-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-conditioned-neural-motion-planning-2108.01851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-conditioned-neural-motion-planning-2108.01851"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-neural-architecture-search-with-performance-prediction-2108.01854</loc><lastmod>2021-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-neural-architecture-search-with-performance-prediction-2108.01854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-neural-architecture-search-with-performance-prediction-2108.01854"/></url>
<url><loc>https://scifaro.com/en/abs/reconstructing-a-dynamical-system-and-forecasting-time-series-by-self-consistent-deep-learning-2108.01862</loc><lastmod>2021-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconstructing-a-dynamical-system-and-forecasting-time-series-by-self-consistent-deep-learning-2108.01862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconstructing-a-dynamical-system-and-forecasting-time-series-by-self-consistent-deep-learning-2108.01862"/></url>
<url><loc>https://scifaro.com/en/abs/a-pragmatic-look-at-deep-imitation-learning-2108.01867</loc><lastmod>2023-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pragmatic-look-at-deep-imitation-learning-2108.01867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pragmatic-look-at-deep-imitation-learning-2108.01867"/></url>
<url><loc>https://scifaro.com/en/abs/high-performance-across-two-atari-paddle-games-using-the-same-perceptual-control-architecture-without-training-2108.01895</loc><lastmod>2021-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-performance-across-two-atari-paddle-games-using-the-same-perceptual-control-architecture-without-training-2108.01895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-performance-across-two-atari-paddle-games-using-the-same-perceptual-control-architecture-without-training-2108.01895"/></url>
<url><loc>https://scifaro.com/en/abs/generic-neural-architecture-search-via-regression-2108.01899</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generic-neural-architecture-search-via-regression-2108.01899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generic-neural-architecture-search-via-regression-2108.01899"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-federated-learning-with-clustering-non-iid-heart-rate-variability-data-application-2108.01903</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-federated-learning-with-clustering-non-iid-heart-rate-variability-data-application-2108.01903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-federated-learning-with-clustering-non-iid-heart-rate-variability-data-application-2108.01903"/></url>
<url><loc>https://scifaro.com/en/abs/pde-gcn-novel-architectures-for-graph-neural-networks-motivated-by-partial-differential-equations-2108.01938</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pde-gcn-novel-architectures-for-graph-neural-networks-motivated-by-partial-differential-equations-2108.01938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pde-gcn-novel-architectures-for-graph-neural-networks-motivated-by-partial-differential-equations-2108.01938"/></url>
<url><loc>https://scifaro.com/en/abs/graph-attention-network-for-microwave-imaging-of-brain-anomaly-2108.01965</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-attention-network-for-microwave-imaging-of-brain-anomaly-2108.01965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-attention-network-for-microwave-imaging-of-brain-anomaly-2108.01965"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-continuous-distributions-and-fenchel-young-losses-2108.01988</loc><lastmod>2022-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-continuous-distributions-and-fenchel-young-losses-2108.01988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-continuous-distributions-and-fenchel-young-losses-2108.01988"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-gradient-descent-for-learning-linear-neural-networks-2108.02040</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-gradient-descent-for-learning-linear-neural-networks-2108.02040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-gradient-descent-for-learning-linear-neural-networks-2108.02040"/></url>
<url><loc>https://scifaro.com/en/abs/policy-gradients-incorporating-the-future-2108.02096</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-gradients-incorporating-the-future-2108.02096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-gradients-incorporating-the-future-2108.02096"/></url>
<url><loc>https://scifaro.com/en/abs/hyperparameter-free-and-explainable-whole-graph-embedding-2108.02113</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperparameter-free-and-explainable-whole-graph-embedding-2108.02113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperparameter-free-and-explainable-whole-graph-embedding-2108.02113"/></url>
<url><loc>https://scifaro.com/en/abs/fedjax-federated-learning-simulation-with-jax-2108.02117</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedjax-federated-learning-simulation-with-jax-2108.02117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedjax-federated-learning-simulation-with-jax-2108.02117"/></url>
<url><loc>https://scifaro.com/en/abs/parallelized-reverse-curriculum-generation-2108.02128</loc><lastmod>2021-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallelized-reverse-curriculum-generation-2108.02128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallelized-reverse-curriculum-generation-2108.02128"/></url>
<url><loc>https://scifaro.com/en/abs/growing-an-architecture-for-a-neural-network-2108.02231</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/growing-an-architecture-for-a-neural-network-2108.02231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/growing-an-architecture-for-a-neural-network-2108.02231"/></url>
<url><loc>https://scifaro.com/en/abs/attentive-cross-modal-connections-for-deep-multimodal-wearable-based-emotion-recognition-2108.02241</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attentive-cross-modal-connections-for-deep-multimodal-wearable-based-emotion-recognition-2108.02241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attentive-cross-modal-connections-for-deep-multimodal-wearable-based-emotion-recognition-2108.02241"/></url>
<url><loc>https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-algorithm-for-complex-system-in-time-series-2108.02289</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-algorithm-for-complex-system-in-time-series-2108.02289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-dimensional-bayesian-optimization-algorithm-for-complex-system-in-time-series-2108.02289"/></url>
<url><loc>https://scifaro.com/en/abs/deep-stable-neural-networks-large-width-asymptotics-and-convergence-rates-2108.02316</loc><lastmod>2022-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-stable-neural-networks-large-width-asymptotics-and-convergence-rates-2108.02316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-stable-neural-networks-large-width-asymptotics-and-convergence-rates-2108.02316"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-the-outcome-of-spintronic-experiments-with-neural-ordinary-differential-equations-2108.02318</loc><lastmod>2022-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-the-outcome-of-spintronic-experiments-with-neural-ordinary-differential-equations-2108.02318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-the-outcome-of-spintronic-experiments-with-neural-ordinary-differential-equations-2108.02318"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-in-multimodal-language-learning-from-simulation-2108.02319</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-in-multimodal-language-learning-from-simulation-2108.02319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-in-multimodal-language-learning-from-simulation-2108.02319"/></url>
<url><loc>https://scifaro.com/en/abs/active-reinforcement-learning-over-mdps-2108.02323</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-reinforcement-learning-over-mdps-2108.02323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-reinforcement-learning-over-mdps-2108.02323"/></url>
<url><loc>https://scifaro.com/en/abs/pi3nn-out-of-distribution-aware-prediction-intervals-from-three-neural-networks-2108.02327</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pi3nn-out-of-distribution-aware-prediction-intervals-from-three-neural-networks-2108.02327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pi3nn-out-of-distribution-aware-prediction-intervals-from-three-neural-networks-2108.02327"/></url>
<url><loc>https://scifaro.com/en/abs/fmmformer-efficient-and-flexible-transformer-via-decomposed-near-field-and-far-field-attention-2108.02347</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fmmformer-efficient-and-flexible-transformer-via-decomposed-near-field-and-far-field-attention-2108.02347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fmmformer-efficient-and-flexible-transformer-via-decomposed-near-field-and-far-field-attention-2108.02347"/></url>
<url><loc>https://scifaro.com/en/abs/fuzzy-logic-based-logical-query-answering-on-knowledge-graphs-2108.02390</loc><lastmod>2022-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fuzzy-logic-based-logical-query-answering-on-knowledge-graphs-2108.02390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fuzzy-logic-based-logical-query-answering-on-knowledge-graphs-2108.02390"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-to-function-difficulty-and-growth-conditions-in-private-optimization-2108.02391</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-to-function-difficulty-and-growth-conditions-in-private-optimization-2108.02391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-to-function-difficulty-and-growth-conditions-in-private-optimization-2108.02391"/></url>
<url><loc>https://scifaro.com/en/abs/aspis-robust-detection-for-distributed-learning-2108.02416</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aspis-robust-detection-for-distributed-learning-2108.02416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aspis-robust-detection-for-distributed-learning-2108.02416"/></url>
<url><loc>https://scifaro.com/en/abs/a-method-for-medical-data-analysis-using-the-lognnet-for-clinical-decision-support-systems-and-edge-computing-in-healthcare-2108.02428</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-method-for-medical-data-analysis-using-the-lognnet-for-clinical-decision-support-systems-and-edge-computing-in-healthcare-2108.02428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-method-for-medical-data-analysis-using-the-lognnet-for-clinical-decision-support-systems-and-edge-computing-in-healthcare-2108.02428"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-and-pide-discretizations-2108.02430</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-and-pide-discretizations-2108.02430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-and-pide-discretizations-2108.02430"/></url>
<url><loc>https://scifaro.com/en/abs/hyperjump-accelerating-hyperband-via-risk-modelling-2108.02479</loc><lastmod>2022-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperjump-accelerating-hyperband-via-risk-modelling-2108.02479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperjump-accelerating-hyperband-via-risk-modelling-2108.02479"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-avoid-machine-learning-pitfalls-a-guide-for-academic-researchers-2108.02497</loc><lastmod>2024-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-avoid-machine-learning-pitfalls-a-guide-for-academic-researchers-2108.02497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-avoid-machine-learning-pitfalls-a-guide-for-academic-researchers-2108.02497"/></url>
<url><loc>https://scifaro.com/en/abs/locally-interpretable-one-class-anomaly-detection-for-credit-card-fraud-detection-2108.02501</loc><lastmod>2022-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-interpretable-one-class-anomaly-detection-for-credit-card-fraud-detection-2108.02501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-interpretable-one-class-anomaly-detection-for-credit-card-fraud-detection-2108.02501"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-consensus-based-representation-deep-reinforcement-learning-for-hybrid-fso-rf-communication-systems-2108.02551</loc><lastmod>2022-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-consensus-based-representation-deep-reinforcement-learning-for-hybrid-fso-rf-communication-systems-2108.02551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-consensus-based-representation-deep-reinforcement-learning-for-hybrid-fso-rf-communication-systems-2108.02551"/></url>
<url><loc>https://scifaro.com/en/abs/dependable-neural-networks-through-redundancy-a-comparison-of-redundant-architectures-2108.02565</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dependable-neural-networks-through-redundancy-a-comparison-of-redundant-architectures-2108.02565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dependable-neural-networks-through-redundancy-a-comparison-of-redundant-architectures-2108.02565"/></url>
<url><loc>https://scifaro.com/en/abs/missingness-augmentation-a-general-approach-for-improving-generative-imputation-models-2108.02566</loc><lastmod>2023-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/missingness-augmentation-a-general-approach-for-improving-generative-imputation-models-2108.02566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/missingness-augmentation-a-general-approach-for-improving-generative-imputation-models-2108.02566"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-performance-of-a-noc-based-cnn-accelerator-with-gather-support-2108.02567</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-performance-of-a-noc-based-cnn-accelerator-with-gather-support-2108.02567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-performance-of-a-noc-based-cnn-accelerator-with-gather-support-2108.02567"/></url>
<url><loc>https://scifaro.com/en/abs/data-streaming-and-traffic-gathering-in-mesh-based-noc-for-deep-neural-network-acceleration-2108.02569</loc><lastmod>2022-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-streaming-and-traffic-gathering-in-mesh-based-noc-for-deep-neural-network-acceleration-2108.02569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-streaming-and-traffic-gathering-in-mesh-based-noc-for-deep-neural-network-acceleration-2108.02569"/></url>
<url><loc>https://scifaro.com/en/abs/learning-linearized-assignment-flows-for-image-labeling-2108.02571</loc><lastmod>2022-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-linearized-assignment-flows-for-image-labeling-2108.02571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-linearized-assignment-flows-for-image-labeling-2108.02571"/></url>
<url><loc>https://scifaro.com/en/abs/singa-easy-an-easy-to-use-framework-for-multimodal-analysis-2108.02572</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/singa-easy-an-easy-to-use-framework-for-multimodal-analysis-2108.02572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/singa-easy-an-easy-to-use-framework-for-multimodal-analysis-2108.02572"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-state-of-the-art-transformers-based-load-forecaster-on-the-smart-grid-domain-2108.02628</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-state-of-the-art-transformers-based-load-forecaster-on-the-smart-grid-domain-2108.02628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-state-of-the-art-transformers-based-load-forecaster-on-the-smart-grid-domain-2108.02628"/></url>
<url><loc>https://scifaro.com/en/abs/a-hypothesis-for-the-aesthetic-appreciation-in-neural-networks-2108.02646</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hypothesis-for-the-aesthetic-appreciation-in-neural-networks-2108.02646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hypothesis-for-the-aesthetic-appreciation-in-neural-networks-2108.02646"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-communication-via-mixed-distributions-2108.02658</loc><lastmod>2022-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-communication-via-mixed-distributions-2108.02658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-communication-via-mixed-distributions-2108.02658"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-unintended-bias-of-ml-models-on-tabular-and-textual-data-2108.02662</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-unintended-bias-of-ml-models-on-tabular-and-textual-data-2108.02662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-unintended-bias-of-ml-models-on-tabular-and-textual-data-2108.02662"/></url>
<url><loc>https://scifaro.com/en/abs/lyapunov-robust-constrained-mdps-soft-constrained-robustly-stable-policy-optimization-under-model-uncertainty-2108.02701</loc><lastmod>2021-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lyapunov-robust-constrained-mdps-soft-constrained-robustly-stable-policy-optimization-under-model-uncertainty-2108.02701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lyapunov-robust-constrained-mdps-soft-constrained-robustly-stable-policy-optimization-under-model-uncertainty-2108.02701"/></url>
<url><loc>https://scifaro.com/en/abs/on-addressing-heterogeneity-in-federated-learning-for-autonomous-vehicles-connected-to-a-drone-orchestrator-2108.02712</loc><lastmod>2021-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-addressing-heterogeneity-in-federated-learning-for-autonomous-vehicles-connected-to-a-drone-orchestrator-2108.02712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-addressing-heterogeneity-in-federated-learning-for-autonomous-vehicles-connected-to-a-drone-orchestrator-2108.02712"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-no-regret-instance-dependent-pac-reinforcement-learning-2108.02717</loc><lastmod>2022-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-no-regret-instance-dependent-pac-reinforcement-learning-2108.02717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-no-regret-instance-dependent-pac-reinforcement-learning-2108.02717"/></url>
<url><loc>https://scifaro.com/en/abs/mean-field-multi-agent-reinforcement-learning-a-decentralized-network-approach-2108.02731</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-field-multi-agent-reinforcement-learning-a-decentralized-network-approach-2108.02731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-field-multi-agent-reinforcement-learning-a-decentralized-network-approach-2108.02731"/></url>
<url><loc>https://scifaro.com/en/abs/gifair-fl-a-framework-for-group-and-individual-fairness-in-federated-learning-2108.02741</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gifair-fl-a-framework-for-group-and-individual-fairness-in-federated-learning-2108.02741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gifair-fl-a-framework-for-group-and-individual-fairness-in-federated-learning-2108.02741"/></url>
<url><loc>https://scifaro.com/en/abs/the-ai-economist-optimal-economic-policy-design-via-two-level-deep-reinforcement-learning-2108.02755</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-ai-economist-optimal-economic-policy-design-via-two-level-deep-reinforcement-learning-2108.02755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-ai-economist-optimal-economic-policy-design-via-two-level-deep-reinforcement-learning-2108.02755"/></url>
<url><loc>https://scifaro.com/en/abs/boss-bidirectional-one-shot-synthesis-of-adversarial-examples-2108.02756</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boss-bidirectional-one-shot-synthesis-of-adversarial-examples-2108.02756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boss-bidirectional-one-shot-synthesis-of-adversarial-examples-2108.02756"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-elect-2108.02768</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-elect-2108.02768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-elect-2108.02768"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-continual-learning-overcoming-catastrophic-forgetting-2108.02786</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-continual-learning-overcoming-catastrophic-forgetting-2108.02786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-continual-learning-overcoming-catastrophic-forgetting-2108.02786"/></url>
<url><loc>https://scifaro.com/en/abs/using-machine-learning-to-predict-game-outcomes-based-on-player-champion-experience-in-league-of-legends-2108.02799</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-machine-learning-to-predict-game-outcomes-based-on-player-champion-experience-in-league-of-legends-2108.02799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-machine-learning-to-predict-game-outcomes-based-on-player-champion-experience-in-league-of-legends-2108.02799"/></url>
<url><loc>https://scifaro.com/en/abs/potential-applications-of-artificial-intelligence-and-machine-learning-in-radiochemistry-and-radiochemical-engineering-2108.02814</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/potential-applications-of-artificial-intelligence-and-machine-learning-in-radiochemistry-and-radiochemical-engineering-2108.02814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/potential-applications-of-artificial-intelligence-and-machine-learning-in-radiochemistry-and-radiochemical-engineering-2108.02814"/></url>
<url><loc>https://scifaro.com/en/abs/an-elementary-proof-that-q-learning-converges-almost-surely-2108.02827</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-elementary-proof-that-q-learning-converges-almost-surely-2108.02827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-elementary-proof-that-q-learning-converges-almost-surely-2108.02827"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-n-gram-extraction-2108.02831</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-n-gram-extraction-2108.02831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-n-gram-extraction-2108.02831"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-recurrent-neural-network-methods-for-anomalously-diffusing-single-particle-short-and-noisy-trajectories-2108.02834</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-recurrent-neural-network-methods-for-anomalously-diffusing-single-particle-short-and-noisy-trajectories-2108.02834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-recurrent-neural-network-methods-for-anomalously-diffusing-single-particle-short-and-noisy-trajectories-2108.02834"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-meta-learning-for-time-series-regression-2108.02842</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-meta-learning-for-time-series-regression-2108.02842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-meta-learning-for-time-series-regression-2108.02842"/></url>
<url><loc>https://scifaro.com/en/abs/enterprise-analytics-using-graph-database-and-graph-based-deep-learning-2108.02867</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enterprise-analytics-using-graph-database-and-graph-based-deep-learning-2108.02867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enterprise-analytics-using-graph-database-and-graph-based-deep-learning-2108.02867"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-human-innate-immune-system-dependencies-using-graph-neural-networks-2108.02872</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-human-innate-immune-system-dependencies-using-graph-neural-networks-2108.02872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-human-innate-immune-system-dependencies-using-graph-neural-networks-2108.02872"/></url>
<url><loc>https://scifaro.com/en/abs/user-scheduling-for-federated-learning-through-over-the-air-computation-2108.02891</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/user-scheduling-for-federated-learning-through-over-the-air-computation-2108.02891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/user-scheduling-for-federated-learning-through-over-the-air-computation-2108.02891"/></url>
<url><loc>https://scifaro.com/en/abs/building-a-foundation-for-data-driven-interpretable-and-robust-policy-design-using-the-ai-economist-2108.02904</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-a-foundation-for-data-driven-interpretable-and-robust-policy-design-using-the-ai-economist-2108.02904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-a-foundation-for-data-driven-interpretable-and-robust-policy-design-using-the-ai-economist-2108.02904"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-dataset-harms-requires-stewardship-lessons-from-1000-papers-2108.02922</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-dataset-harms-requires-stewardship-lessons-from-1000-papers-2108.02922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-dataset-harms-requires-stewardship-lessons-from-1000-papers-2108.02922"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-feature-learning-for-infinite-data-2108.02932</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-feature-learning-for-infinite-data-2108.02932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-feature-learning-for-infinite-data-2108.02932"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-debiased-representations-with-pseudo-attributes-2108.02943</loc><lastmod>2022-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-debiased-representations-with-pseudo-attributes-2108.02943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-debiased-representations-with-pseudo-attributes-2108.02943"/></url>
<url><loc>https://scifaro.com/en/abs/auxiliary-class-based-multiple-choice-learning-2108.02949</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auxiliary-class-based-multiple-choice-learning-2108.02949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auxiliary-class-based-multiple-choice-learning-2108.02949"/></url>
<url><loc>https://scifaro.com/en/abs/inspecting-the-process-of-bank-credit-rating-via-visual-analytics-2108.03011</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inspecting-the-process-of-bank-credit-rating-via-visual-analytics-2108.03011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inspecting-the-process-of-bank-credit-rating-via-visual-analytics-2108.03011"/></url>
<url><loc>https://scifaro.com/en/abs/identifiable-energy-based-representations-an-application-to-estimating-heterogeneous-causal-effects-2108.03039</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiable-energy-based-representations-an-application-to-estimating-heterogeneous-causal-effects-2108.03039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiable-energy-based-representations-an-application-to-estimating-heterogeneous-causal-effects-2108.03039"/></url>
<url><loc>https://scifaro.com/en/abs/rectified-euler-k-means-and-beyond-2108.03081</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rectified-euler-k-means-and-beyond-2108.03081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rectified-euler-k-means-and-beyond-2108.03081"/></url>
<url><loc>https://scifaro.com/en/abs/transferring-knowledge-distillation-for-multilingual-social-event-detection-2108.03084</loc><lastmod>2023-04-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferring-knowledge-distillation-for-multilingual-social-event-detection-2108.03084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferring-knowledge-distillation-for-multilingual-social-event-detection-2108.03084"/></url>
<url><loc>https://scifaro.com/en/abs/shift-invariant-waveform-learning-on-epileptic-ecog-2108.03177</loc><lastmod>2021-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shift-invariant-waveform-learning-on-epileptic-ecog-2108.03177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shift-invariant-waveform-learning-on-epileptic-ecog-2108.03177"/></url>
<url><loc>https://scifaro.com/en/abs/temporally-abstract-partial-models-2108.03213</loc><lastmod>2021-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporally-abstract-partial-models-2108.03213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporally-abstract-partial-models-2108.03213"/></url>
<url><loc>https://scifaro.com/en/abs/simple-modifications-to-improve-tabular-neural-networks-2108.03214</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-modifications-to-improve-tabular-neural-networks-2108.03214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-modifications-to-improve-tabular-neural-networks-2108.03214"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-of-driving-scenario-trajectories-2108.03217</loc><lastmod>2023-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-of-driving-scenario-trajectories-2108.03217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-of-driving-scenario-trajectories-2108.03217"/></url>
<url><loc>https://scifaro.com/en/abs/smotified-gan-for-class-imbalanced-pattern-classification-problems-2108.03235</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smotified-gan-for-class-imbalanced-pattern-classification-problems-2108.03235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smotified-gan-for-class-imbalanced-pattern-classification-problems-2108.03235"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-representation-for-electric-vehicle-charging-station-operations-using-reinforcement-learning-2108.03236</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-representation-for-electric-vehicle-charging-station-operations-using-reinforcement-learning-2108.03236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-representation-for-electric-vehicle-charging-station-operations-using-reinforcement-learning-2108.03236"/></url>
<url><loc>https://scifaro.com/en/abs/concept-drift-detection-with-variable-interaction-networks-2108.03273</loc><lastmod>2021-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-drift-detection-with-variable-interaction-networks-2108.03273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-drift-detection-with-variable-interaction-networks-2108.03273"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-symbolic-regression-transformation-of-symbolic-regression-into-a-real-valued-optimization-problem-2108.03274</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-symbolic-regression-transformation-of-symbolic-regression-into-a-real-valued-optimization-problem-2108.03274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-symbolic-regression-transformation-of-symbolic-regression-into-a-real-valued-optimization-problem-2108.03274"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-augmentation-for-deep-neural-networks-using-1-d-time-series-vibration-data-2108.03288</loc><lastmod>2022-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-augmentation-for-deep-neural-networks-using-1-d-time-series-vibration-data-2108.03288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-augmentation-for-deep-neural-networks-using-1-d-time-series-vibration-data-2108.03288"/></url>
<url><loc>https://scifaro.com/en/abs/joint-ap-probing-and-scheduling-a-contextual-bandit-approach-2108.03297</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-ap-probing-and-scheduling-a-contextual-bandit-approach-2108.03297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-ap-probing-and-scheduling-a-contextual-bandit-approach-2108.03297"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-neural-network-approach-for-crop-selection-and-yield-prediction-in-bangladesh-2108.03320</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-neural-network-approach-for-crop-selection-and-yield-prediction-in-bangladesh-2108.03320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-neural-network-approach-for-crop-selection-and-yield-prediction-in-bangladesh-2108.03320"/></url>
<url><loc>https://scifaro.com/en/abs/global-self-attention-as-a-replacement-for-graph-convolution-2108.03348</loc><lastmod>2022-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-self-attention-as-a-replacement-for-graph-convolution-2108.03348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-self-attention-as-a-replacement-for-graph-convolution-2108.03348"/></url>
<url><loc>https://scifaro.com/en/abs/hetemotionnet-two-stream-heterogeneous-graph-recurrent-neural-network-for-multi-modal-emotion-recognition-2108.03354</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hetemotionnet-two-stream-heterogeneous-graph-recurrent-neural-network-for-multi-modal-emotion-recognition-2108.03354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hetemotionnet-two-stream-heterogeneous-graph-recurrent-neural-network-for-multi-modal-emotion-recognition-2108.03354"/></url>
<url><loc>https://scifaro.com/en/abs/jointly-attacking-graph-neural-network-and-its-explanations-2108.03388</loc><lastmod>2022-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jointly-attacking-graph-neural-network-and-its-explanations-2108.03388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jointly-attacking-graph-neural-network-and-its-explanations-2108.03388"/></url>
<url><loc>https://scifaro.com/en/abs/missing-data-estimation-in-temporal-multilayer-position-aware-graph-neural-network-tmp-gnn-2108.03400</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/missing-data-estimation-in-temporal-multilayer-position-aware-graph-neural-network-tmp-gnn-2108.03400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/missing-data-estimation-in-temporal-multilayer-position-aware-graph-neural-network-tmp-gnn-2108.03400"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-tool-to-determine-state-of-mind-and-emotion-2108.03444</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-tool-to-determine-state-of-mind-and-emotion-2108.03444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-tool-to-determine-state-of-mind-and-emotion-2108.03444"/></url>
<url><loc>https://scifaro.com/en/abs/self-learning-sparse-pca-for-multimode-process-monitoring-2108.03449</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-learning-sparse-pca-for-multimode-process-monitoring-2108.03449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-learning-sparse-pca-for-multimode-process-monitoring-2108.03449"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-algorithms-to-analyze-the-road-traffic-crashes-2108.03490</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-algorithms-to-analyze-the-road-traffic-crashes-2108.03490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-algorithms-to-analyze-the-road-traffic-crashes-2108.03490"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-last-iterate-convergence-in-overparameterized-gans-2108.03491</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-last-iterate-convergence-in-overparameterized-gans-2108.03491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-last-iterate-convergence-in-overparameterized-gans-2108.03491"/></url>
<url><loc>https://scifaro.com/en/abs/membership-inference-attacks-on-lottery-ticket-networks-2108.03506</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/membership-inference-attacks-on-lottery-ticket-networks-2108.03506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/membership-inference-attacks-on-lottery-ticket-networks-2108.03506"/></url>
<url><loc>https://scifaro.com/en/abs/the-effect-of-training-parameters-and-mechanisms-on-decentralized-federated-learning-based-on-mnist-dataset-2108.03508</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effect-of-training-parameters-and-mechanisms-on-decentralized-federated-learning-based-on-mnist-dataset-2108.03508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effect-of-training-parameters-and-mechanisms-on-decentralized-federated-learning-based-on-mnist-dataset-2108.03508"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-transfer-with-von-neumann-conditional-divergence-2108.03531</loc><lastmod>2022-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-transfer-with-von-neumann-conditional-divergence-2108.03531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-transfer-with-von-neumann-conditional-divergence-2108.03531"/></url>
<url><loc>https://scifaro.com/en/abs/combining-machine-learning-and-data-assimilation-to-forecast-dynamical-systems-from-noisy-partial-observations-2108.03561</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-machine-learning-and-data-assimilation-to-forecast-dynamical-systems-from-noisy-partial-observations-2108.03561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-machine-learning-and-data-assimilation-to-forecast-dynamical-systems-from-noisy-partial-observations-2108.03561"/></url>
<url><loc>https://scifaro.com/en/abs/robust-1-bit-compressive-sensing-with-partial-gaussian-circulant-matrices-and-generative-priors-2108.03570</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-1-bit-compressive-sensing-with-partial-gaussian-circulant-matrices-and-generative-priors-2108.03570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-1-bit-compressive-sensing-with-partial-gaussian-circulant-matrices-and-generative-priors-2108.03570"/></url>
<url><loc>https://scifaro.com/en/abs/expressive-power-and-loss-surfaces-of-deep-learning-models-2108.03579</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expressive-power-and-loss-surfaces-of-deep-learning-models-2108.03579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expressive-power-and-loss-surfaces-of-deep-learning-models-2108.03579"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-neuroevolution-based-approach-for-multivariate-time-series-anomaly-detection-2108.03585</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-neuroevolution-based-approach-for-multivariate-time-series-anomaly-detection-2108.03585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-neuroevolution-based-approach-for-multivariate-time-series-anomaly-detection-2108.03585"/></url>
<url><loc>https://scifaro.com/en/abs/a-look-at-the-evaluation-setup-of-the-m5-forecasting-competition-2108.03588</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-look-at-the-evaluation-setup-of-the-m5-forecasting-competition-2108.03588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-look-at-the-evaluation-setup-of-the-m5-forecasting-competition-2108.03588"/></url>
<url><loc>https://scifaro.com/en/abs/federatednilm-a-distributed-and-privacy-preserving-framework-for-non-intrusive-load-monitoring-based-on-federated-deep-learning-2108.03591</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federatednilm-a-distributed-and-privacy-preserving-framework-for-non-intrusive-load-monitoring-based-on-federated-deep-learning-2108.03591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federatednilm-a-distributed-and-privacy-preserving-framework-for-non-intrusive-load-monitoring-based-on-federated-deep-learning-2108.03591"/></url>
<url><loc>https://scifaro.com/en/abs/maf-gnn-multi-adaptive-spatiotemporal-flow-graph-neural-network-for-traffic-speed-forecasting-2108.03594</loc><lastmod>2022-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maf-gnn-multi-adaptive-spatiotemporal-flow-graph-neural-network-for-traffic-speed-forecasting-2108.03594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maf-gnn-multi-adaptive-spatiotemporal-flow-graph-neural-network-for-traffic-speed-forecasting-2108.03594"/></url>
<url><loc>https://scifaro.com/en/abs/using-biological-variables-and-social-determinants-to-predict-malaria-and-anemia-among-children-in-senegal-2108.03601</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-biological-variables-and-social-determinants-to-predict-malaria-and-anemia-among-children-in-senegal-2108.03601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-biological-variables-and-social-determinants-to-predict-malaria-and-anemia-among-children-in-senegal-2108.03601"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-heterogeneous-electronic-health-records-systems-via-text-based-code-embedding-2108.03625</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-heterogeneous-electronic-health-records-systems-via-text-based-code-embedding-2108.03625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-heterogeneous-electronic-health-records-systems-via-text-based-code-embedding-2108.03625"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-network-for-drawing-networks-dnn-2-2108.03632</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-network-for-drawing-networks-dnn-2-2108.03632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-network-for-drawing-networks-dnn-2-2108.03632"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-difficulty-of-generalizing-reinforcement-learning-framework-for-combinatorial-optimization-2108.03713</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-difficulty-of-generalizing-reinforcement-learning-framework-for-combinatorial-optimization-2108.03713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-difficulty-of-generalizing-reinforcement-learning-framework-for-combinatorial-optimization-2108.03713"/></url>
<url><loc>https://scifaro.com/en/abs/meta-reinforcement-learning-in-broad-and-non-parametric-environments-2108.03718</loc><lastmod>2022-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-reinforcement-learning-in-broad-and-non-parametric-environments-2108.03718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-reinforcement-learning-in-broad-and-non-parametric-environments-2108.03718"/></url>
<url><loc>https://scifaro.com/en/abs/evgen-adversarial-networks-for-learning-electric-vehicle-charging-loads-and-hidden-representations-2108.03762</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evgen-adversarial-networks-for-learning-electric-vehicle-charging-loads-and-hidden-representations-2108.03762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evgen-adversarial-networks-for-learning-electric-vehicle-charging-loads-and-hidden-representations-2108.03762"/></url>
<url><loc>https://scifaro.com/en/abs/mis-spoke-or-mis-lead-achieving-robustness-in-multi-agent-communicative-reinforcement-learning-2108.03803</loc><lastmod>2022-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mis-spoke-or-mis-lead-achieving-robustness-in-multi-agent-communicative-reinforcement-learning-2108.03803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mis-spoke-or-mis-lead-achieving-robustness-in-multi-agent-communicative-reinforcement-learning-2108.03803"/></url>
<url><loc>https://scifaro.com/en/abs/low-complexity-algorithm-for-restless-bandits-with-imperfect-observations-2108.03812</loc><lastmod>2024-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-complexity-algorithm-for-restless-bandits-with-imperfect-observations-2108.03812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-complexity-algorithm-for-restless-bandits-with-imperfect-observations-2108.03812"/></url>
<url><loc>https://scifaro.com/en/abs/online-minimax-multiobjective-optimization-multicalibeating-and-other-applications-2108.03837</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-minimax-multiobjective-optimization-multicalibeating-and-other-applications-2108.03837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-minimax-multiobjective-optimization-multicalibeating-and-other-applications-2108.03837"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-anomaly-detection-for-internet-of-things-in-hierarchical-edge-computing-a-contextual-bandit-approach-2108.03872</loc><lastmod>2021-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-anomaly-detection-for-internet-of-things-in-hierarchical-edge-computing-a-contextual-bandit-approach-2108.03872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-anomaly-detection-for-internet-of-things-in-hierarchical-edge-computing-a-contextual-bandit-approach-2108.03872"/></url>
<url><loc>https://scifaro.com/en/abs/collapsing-the-decision-tree-the-concurrent-data-predictor-2108.03887</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collapsing-the-decision-tree-the-concurrent-data-predictor-2108.03887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collapsing-the-decision-tree-the-concurrent-data-predictor-2108.03887"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-hyperparameter-optimization-for-differentially-private-deep-learning-2108.03888</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-hyperparameter-optimization-for-differentially-private-deep-learning-2108.03888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-hyperparameter-optimization-for-differentially-private-deep-learning-2108.03888"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-active-learning-for-active-class-selection-2108.03891</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-active-learning-for-active-class-selection-2108.03891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-active-learning-for-active-class-selection-2108.03891"/></url>
<url><loc>https://scifaro.com/en/abs/unified-regularity-measures-for-sample-wise-learning-and-generalization-2108.03913</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-regularity-measures-for-sample-wise-learning-and-generalization-2108.03913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-regularity-measures-for-sample-wise-learning-and-generalization-2108.03913"/></url>
<url><loc>https://scifaro.com/en/abs/model-architecture-can-transform-catastrophic-forgetting-into-positive-transfer-2108.03940</loc><lastmod>2022-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-architecture-can-transform-catastrophic-forgetting-into-positive-transfer-2108.03940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-architecture-can-transform-catastrophic-forgetting-into-positive-transfer-2108.03940"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-hyperparameters-in-stochastic-gradient-descent-with-momentum-2108.03947</loc><lastmod>2022-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-hyperparameters-in-stochastic-gradient-descent-with-momentum-2108.03947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-hyperparameters-in-stochastic-gradient-descent-with-momentum-2108.03947"/></url>
<url><loc>https://scifaro.com/en/abs/safe-deep-reinforcement-learning-for-multi-agent-systems-with-continuous-action-spaces-2108.03952</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-deep-reinforcement-learning-for-multi-agent-systems-with-continuous-action-spaces-2108.03952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-deep-reinforcement-learning-for-multi-agent-systems-with-continuous-action-spaces-2108.03952"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-joint-unsupervised-learning-of-cluster-aware-embedding-for-heterogeneous-networks-2108.03953</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-joint-unsupervised-learning-of-cluster-aware-embedding-for-heterogeneous-networks-2108.03953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-joint-unsupervised-learning-of-cluster-aware-embedding-for-heterogeneous-networks-2108.03953"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-mechanically-driven-full-field-quantities-of-interest-with-deep-learning-based-metamodels-2108.03995</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-mechanically-driven-full-field-quantities-of-interest-with-deep-learning-based-metamodels-2108.03995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-mechanically-driven-full-field-quantities-of-interest-with-deep-learning-based-metamodels-2108.03995"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-of-linear-models-co-supervised-by-deep-neural-networks-2108.04035</loc><lastmod>2024-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-of-linear-models-co-supervised-by-deep-neural-networks-2108.04035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-of-linear-models-co-supervised-by-deep-neural-networks-2108.04035"/></url>
<url><loc>https://scifaro.com/en/abs/fed-bev-a-federated-learning-framework-for-modelling-energy-consumption-of-battery-electric-vehicles-2108.04036</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fed-bev-a-federated-learning-framework-for-modelling-energy-consumption-of-battery-electric-vehicles-2108.04036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fed-bev-a-federated-learning-framework-for-modelling-energy-consumption-of-battery-electric-vehicles-2108.04036"/></url>
<url><loc>https://scifaro.com/en/abs/training-of-deep-residual-networks-with-stochastic-mg-opt-2108.04052</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-of-deep-residual-networks-with-stochastic-mg-opt-2108.04052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-of-deep-residual-networks-with-stochastic-mg-opt-2108.04052"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-global-labels-in-few-shot-classification-and-how-to-infer-them-2108.04055</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-global-labels-in-few-shot-classification-and-how-to-infer-them-2108.04055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-global-labels-in-few-shot-classification-and-how-to-infer-them-2108.04055"/></url>
<url><loc>https://scifaro.com/en/abs/improved-deterministic-l2-robustness-on-cifar-10-and-cifar-100-2108.04062</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-deterministic-l2-robustness-on-cifar-10-and-cifar-100-2108.04062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-deterministic-l2-robustness-on-cifar-10-and-cifar-100-2108.04062"/></url>
<url><loc>https://scifaro.com/en/abs/co-learning-learning-from-noisy-labels-with-self-supervision-2108.04063</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-learning-learning-from-noisy-labels-with-self-supervision-2108.04063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-learning-learning-from-noisy-labels-with-self-supervision-2108.04063"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-inference-of-unseen-attractors-reconstructing-phase-space-features-from-a-single-noisy-trajectory-using-reservoir-computing-2108.04074</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-inference-of-unseen-attractors-reconstructing-phase-space-features-from-a-single-noisy-trajectory-using-reservoir-computing-2108.04074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-inference-of-unseen-attractors-reconstructing-phase-space-features-from-a-single-noisy-trajectory-using-reservoir-computing-2108.04074"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-uncertainty-for-improved-static-malware-detection-under-extreme-false-positive-constraints-2108.04081</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-uncertainty-for-improved-static-malware-detection-under-extreme-false-positive-constraints-2108.04081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-uncertainty-for-improved-static-malware-detection-under-extreme-false-positive-constraints-2108.04081"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-intelligent-healthcare-systems-a-comprehensive-survey-2108.04087</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-intelligent-healthcare-systems-a-comprehensive-survey-2108.04087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-intelligent-healthcare-systems-a-comprehensive-survey-2108.04087"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-wetland-areas-in-historical-maps-using-deep-convolutional-neural-networks-2108.04107</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-wetland-areas-in-historical-maps-using-deep-convolutional-neural-networks-2108.04107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-wetland-areas-in-historical-maps-using-deep-convolutional-neural-networks-2108.04107"/></url>
<url><loc>https://scifaro.com/en/abs/improved-feature-importance-computations-for-tree-models-shapley-vs-banzhaf-2108.04126</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-feature-importance-computations-for-tree-models-shapley-vs-banzhaf-2108.04126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-feature-importance-computations-for-tree-models-shapley-vs-banzhaf-2108.04126"/></url>
<url><loc>https://scifaro.com/en/abs/earables-for-detection-of-bruxism-a-feasibility-study-2108.04144</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/earables-for-detection-of-bruxism-a-feasibility-study-2108.04144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/earables-for-detection-of-bruxism-a-feasibility-study-2108.04144"/></url>
<url><loc>https://scifaro.com/en/abs/training-very-large-scale-nonlinear-svms-using-alternating-direction-method-of-multipliers-coupled-with-the-hierarchically-semi-separable-kernel-approximations-2108.04167</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-very-large-scale-nonlinear-svms-using-alternating-direction-method-of-multipliers-coupled-with-the-hierarchically-semi-separable-kernel-approximations-2108.04167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-very-large-scale-nonlinear-svms-using-alternating-direction-method-of-multipliers-coupled-with-the-hierarchically-semi-separable-kernel-approximations-2108.04167"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-power-of-differentiable-learning-versus-pac-and-sq-learning-2108.04190</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-power-of-differentiable-learning-versus-pac-and-sq-learning-2108.04190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-power-of-differentiable-learning-versus-pac-and-sq-learning-2108.04190"/></url>
<url><loc>https://scifaro.com/en/abs/classification-auto-encoder-based-detector-against-diverse-data-poisoning-attacks-2108.04206</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-auto-encoder-based-detector-against-diverse-data-poisoning-attacks-2108.04206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-auto-encoder-based-detector-against-diverse-data-poisoning-attacks-2108.04206"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-repair-with-reachability-analysis-2108.04214</loc><lastmod>2021-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-repair-with-reachability-analysis-2108.04214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-repair-with-reachability-analysis-2108.04214"/></url>
<url><loc>https://scifaro.com/en/abs/rethinking-architecture-selection-in-differentiable-nas-2108.04392</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethinking-architecture-selection-in-differentiable-nas-2108.04392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethinking-architecture-selection-in-differentiable-nas-2108.04392"/></url>
<url><loc>https://scifaro.com/en/abs/on-procedural-adversarial-noise-attack-and-defense-2108.04409</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-procedural-adversarial-noise-attack-and-defense-2108.04409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-procedural-adversarial-noise-attack-and-defense-2108.04409"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-machine-learning-methods-challenges-and-directions-2108.04417</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-machine-learning-methods-challenges-and-directions-2108.04417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-machine-learning-methods-challenges-and-directions-2108.04417"/></url>
<url><loc>https://scifaro.com/en/abs/revisit-the-fundamental-theorem-of-linear-algebra-2108.04432</loc><lastmod>2022-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisit-the-fundamental-theorem-of-linear-algebra-2108.04432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisit-the-fundamental-theorem-of-linear-algebra-2108.04432"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-enhanced-dynamic-mode-decomposition-2108.04433</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-enhanced-dynamic-mode-decomposition-2108.04433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-enhanced-dynamic-mode-decomposition-2108.04433"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalizable-model-and-data-driven-approach-for-open-set-rff-authentication-2108.04436</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalizable-model-and-data-driven-approach-for-open-set-rff-authentication-2108.04436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalizable-model-and-data-driven-approach-for-open-set-rff-authentication-2108.04436"/></url>
<url><loc>https://scifaro.com/en/abs/adarnn-adaptive-learning-and-forecasting-of-time-series-2108.04443</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adarnn-adaptive-learning-and-forecasting-of-time-series-2108.04443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adarnn-adaptive-learning-and-forecasting-of-time-series-2108.04443"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-composite-optimization-with-compression-2108.04448</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-composite-optimization-with-compression-2108.04448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-composite-optimization-with-compression-2108.04448"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-demand-driven-services-in-logistics-and-transportation-systems-a-survey-2108.04462</loc><lastmod>2024-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-demand-driven-services-in-logistics-and-transportation-systems-a-survey-2108.04462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-demand-driven-services-in-logistics-and-transportation-systems-a-survey-2108.04462"/></url>
<url><loc>https://scifaro.com/en/abs/complexity-of-inexact-proximal-point-algorithm-for-minimizing-convex-functions-with-holderian-growth-2108.04482</loc><lastmod>2024-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complexity-of-inexact-proximal-point-algorithm-for-minimizing-convex-functions-with-holderian-growth-2108.04482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complexity-of-inexact-proximal-point-algorithm-for-minimizing-convex-functions-with-holderian-growth-2108.04482"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-sequential-latent-variable-models-with-adversarial-neural-networks-2108.04496</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-sequential-latent-variable-models-with-adversarial-neural-networks-2108.04496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-sequential-latent-variable-models-with-adversarial-neural-networks-2108.04496"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-deep-reinforcement-learning-for-data-processing-and-analytics-2108.04526</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-deep-reinforcement-learning-for-data-processing-and-analytics-2108.04526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-deep-reinforcement-learning-for-data-processing-and-analytics-2108.04526"/></url>
<url><loc>https://scifaro.com/en/abs/known-operator-learning-and-hybrid-machine-learning-in-medical-imaging-a-review-of-the-past-the-present-and-the-future-2108.04543</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/known-operator-learning-and-hybrid-machine-learning-in-medical-imaging-a-review-of-the-past-the-present-and-the-future-2108.04543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/known-operator-learning-and-hybrid-machine-learning-in-medical-imaging-a-review-of-the-past-the-present-and-the-future-2108.04543"/></url>
<url><loc>https://scifaro.com/en/abs/abc-fl-anomalous-and-benign-client-classification-in-federated-learning-2108.04551</loc><lastmod>2022-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abc-fl-anomalous-and-benign-client-classification-in-federated-learning-2108.04551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abc-fl-anomalous-and-benign-client-classification-in-federated-learning-2108.04551"/></url>
<url><loc>https://scifaro.com/en/abs/the-benefits-of-implicit-regularization-from-sgd-in-least-squares-problems-2108.04552</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-benefits-of-implicit-regularization-from-sgd-in-least-squares-problems-2108.04552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-benefits-of-implicit-regularization-from-sgd-in-least-squares-problems-2108.04552"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-vrp-a-neural-network-model-to-learn-hidden-preferences-for-vrp-2108.04578</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-vrp-a-neural-network-model-to-learn-hidden-preferences-for-vrp-2108.04578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-vrp-a-neural-network-model-to-learn-hidden-preferences-for-vrp-2108.04578"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-network-based-internal-model-control-design-for-stable-nonlinear-systems-2108.04585</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-network-based-internal-model-control-design-for-stable-nonlinear-systems-2108.04585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-network-based-internal-model-control-design-for-stable-nonlinear-systems-2108.04585"/></url>
<url><loc>https://scifaro.com/en/abs/label-informed-graph-structure-learning-for-node-classification-2108.04595</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-informed-graph-structure-learning-for-node-classification-2108.04595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-informed-graph-structure-learning-for-node-classification-2108.04595"/></url>
<url><loc>https://scifaro.com/en/abs/maximizing-influence-with-graph-neural-networks-2108.04623</loc><lastmod>2023-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximizing-influence-with-graph-neural-networks-2108.04623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximizing-influence-with-graph-neural-networks-2108.04623"/></url>
<url><loc>https://scifaro.com/en/abs/precode-a-generic-model-extension-to-prevent-deep-gradient-leakage-2108.04725</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/precode-a-generic-model-extension-to-prevent-deep-gradient-leakage-2108.04725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/precode-a-generic-model-extension-to-prevent-deep-gradient-leakage-2108.04725"/></url>
<url><loc>https://scifaro.com/en/abs/the-information-of-attribute-uncertainties-what-convolutional-neural-networks-can-learn-about-errors-in-input-data-2108.04742</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-information-of-attribute-uncertainties-what-convolutional-neural-networks-can-learn-about-errors-in-input-data-2108.04742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-information-of-attribute-uncertainties-what-convolutional-neural-networks-can-learn-about-errors-in-input-data-2108.04742"/></url>
<url><loc>https://scifaro.com/en/abs/fedpage-a-fast-local-stochastic-gradient-method-for-communication-efficient-federated-learning-2108.04755</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedpage-a-fast-local-stochastic-gradient-method-for-communication-efficient-federated-learning-2108.04755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedpage-a-fast-local-stochastic-gradient-method-for-communication-efficient-federated-learning-2108.04755"/></url>
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<url><loc>https://scifaro.com/en/abs/meta-repository-of-screening-mammography-classifiers-2108.04800</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-repository-of-screening-mammography-classifiers-2108.04800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-repository-of-screening-mammography-classifiers-2108.04800"/></url>
<url><loc>https://scifaro.com/en/abs/binary-complex-neural-network-acceleration-on-fpga-2108.04811</loc><lastmod>2021-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-complex-neural-network-acceleration-on-fpga-2108.04811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-complex-neural-network-acceleration-on-fpga-2108.04811"/></url>
<url><loc>https://scifaro.com/en/abs/attention-like-feature-explanation-for-tabular-data-2108.04855</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-like-feature-explanation-for-tabular-data-2108.04855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-like-feature-explanation-for-tabular-data-2108.04855"/></url>
<url><loc>https://scifaro.com/en/abs/retiring-adult-new-datasets-for-fair-machine-learning-2108.04884</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/retiring-adult-new-datasets-for-fair-machine-learning-2108.04884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/retiring-adult-new-datasets-for-fair-machine-learning-2108.04884"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-ode2vae-with-examples-2108.04899</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-ode2vae-with-examples-2108.04899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-ode2vae-with-examples-2108.04899"/></url>
<url><loc>https://scifaro.com/en/abs/flow-based-svdd-for-anomaly-detection-2108.04907</loc><lastmod>2021-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flow-based-svdd-for-anomaly-detection-2108.04907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flow-based-svdd-for-anomaly-detection-2108.04907"/></url>
<url><loc>https://scifaro.com/en/abs/causal-order-identification-to-address-confounding-binary-variables-2108.04947</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-order-identification-to-address-confounding-binary-variables-2108.04947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-order-identification-to-address-confounding-binary-variables-2108.04947"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-multi-resolution-attention-with-linear-complexity-2108.04962</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-multi-resolution-attention-with-linear-complexity-2108.04962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-multi-resolution-attention-with-linear-complexity-2108.04962"/></url>
<url><loc>https://scifaro.com/en/abs/creutzfeldt-jakob-disease-prediction-using-machine-learning-techniques-2108.04972</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/creutzfeldt-jakob-disease-prediction-using-machine-learning-techniques-2108.04972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/creutzfeldt-jakob-disease-prediction-using-machine-learning-techniques-2108.04972"/></url>
<url><loc>https://scifaro.com/en/abs/lightmove-a-lightweight-next-poi-recommendation-for-taxicab-rooftop-advertising-2108.04993</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lightmove-a-lightweight-next-poi-recommendation-for-taxicab-rooftop-advertising-2108.04993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lightmove-a-lightweight-next-poi-recommendation-for-taxicab-rooftop-advertising-2108.04993"/></url>
<url><loc>https://scifaro.com/en/abs/managing-ml-pipelines-feature-stores-and-the-coming-wave-of-embedding-ecosystems-2108.05053</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/managing-ml-pipelines-feature-stores-and-the-coming-wave-of-embedding-ecosystems-2108.05053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/managing-ml-pipelines-feature-stores-and-the-coming-wave-of-embedding-ecosystems-2108.05053"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-driver-behavior-profiling-leveraging-recurrent-neural-networks-2108.05079</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-driver-behavior-profiling-leveraging-recurrent-neural-networks-2108.05079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-driver-behavior-profiling-leveraging-recurrent-neural-networks-2108.05079"/></url>
<url><loc>https://scifaro.com/en/abs/cooperative-learning-for-noisy-supervision-2108.05092</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cooperative-learning-for-noisy-supervision-2108.05092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cooperative-learning-for-noisy-supervision-2108.05092"/></url>
<url><loc>https://scifaro.com/en/abs/logic-explained-networks-2108.05149</loc><lastmod>2023-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logic-explained-networks-2108.05149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logic-explained-networks-2108.05149"/></url>
<url><loc>https://scifaro.com/en/abs/towards-data-driven-filters-in-paraview-2108.05196</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-data-driven-filters-in-paraview-2108.05196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-data-driven-filters-in-paraview-2108.05196"/></url>
<url><loc>https://scifaro.com/en/abs/edits-modeling-and-mitigating-data-bias-for-graph-neural-networks-2108.05233</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edits-modeling-and-mitigating-data-bias-for-graph-neural-networks-2108.05233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edits-modeling-and-mitigating-data-bias-for-graph-neural-networks-2108.05233"/></url>
<url><loc>https://scifaro.com/en/abs/putting-rdf2vec-in-order-2108.05280</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/putting-rdf2vec-in-order-2108.05280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/putting-rdf2vec-in-order-2108.05280"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-through-counterfactual-utilities-2108.05315</loc><lastmod>2023-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-through-counterfactual-utilities-2108.05315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-through-counterfactual-utilities-2108.05315"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-model-drift-detection-via-weak-data-slices-2108.05319</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-model-drift-detection-via-weak-data-slices-2108.05319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-model-drift-detection-via-weak-data-slices-2108.05319"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-algorithmic-fairness-through-fairness-aware-causal-path-decomposition-2108.05335</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-algorithmic-fairness-through-fairness-aware-causal-path-decomposition-2108.05335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-algorithmic-fairness-through-fairness-aware-causal-path-decomposition-2108.05335"/></url>
<url><loc>https://scifaro.com/en/abs/truncated-emphatic-temporal-difference-methods-for-prediction-and-control-2108.05338</loc><lastmod>2022-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/truncated-emphatic-temporal-difference-methods-for-prediction-and-control-2108.05338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/truncated-emphatic-temporal-difference-methods-for-prediction-and-control-2108.05338"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-modeling-of-mobile-user-click-behaviors-using-deep-learning-2108.05342</loc><lastmod>2021-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-modeling-of-mobile-user-click-behaviors-using-deep-learning-2108.05342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-modeling-of-mobile-user-click-behaviors-using-deep-learning-2108.05342"/></url>
<url><loc>https://scifaro.com/en/abs/skill-preferences-learning-to-extract-and-execute-robotic-skills-from-human-feedback-2108.05382</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skill-preferences-learning-to-extract-and-execute-robotic-skills-from-human-feedback-2108.05382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skill-preferences-learning-to-extract-and-execute-robotic-skills-from-human-feedback-2108.05382"/></url>
<url><loc>https://scifaro.com/en/abs/physics-coupled-spatio-temporal-active-learning-for-dynamical-systems-2108.05385</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-coupled-spatio-temporal-active-learning-for-dynamical-systems-2108.05385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-coupled-spatio-temporal-active-learning-for-dynamical-systems-2108.05385"/></url>
<url><loc>https://scifaro.com/en/abs/seven-challenges-for-harmonizing-explainability-requirements-2108.05390</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seven-challenges-for-harmonizing-explainability-requirements-2108.05390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seven-challenges-for-harmonizing-explainability-requirements-2108.05390"/></url>
<url><loc>https://scifaro.com/en/abs/gap-dependent-unsupervised-exploration-for-reinforcement-learning-2108.05439</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gap-dependent-unsupervised-exploration-for-reinforcement-learning-2108.05439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gap-dependent-unsupervised-exploration-for-reinforcement-learning-2108.05439"/></url>
<url><loc>https://scifaro.com/en/abs/learning-bias-invariant-representation-by-cross-sample-mutual-information-minimization-2108.05449</loc><lastmod>2021-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-bias-invariant-representation-by-cross-sample-mutual-information-minimization-2108.05449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-bias-invariant-representation-by-cross-sample-mutual-information-minimization-2108.05449"/></url>
<url><loc>https://scifaro.com/en/abs/doi-divergence-based-out-of-distribution-indicators-via-deep-generative-models-2108.05509</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doi-divergence-based-out-of-distribution-indicators-via-deep-generative-models-2108.05509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doi-divergence-based-out-of-distribution-indicators-via-deep-generative-models-2108.05509"/></url>
<url><loc>https://scifaro.com/en/abs/fair-decision-making-for-food-inspections-2108.05523</loc><lastmod>2022-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-decision-making-for-food-inspections-2108.05523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-decision-making-for-food-inspections-2108.05523"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-local-planning-with-linear-function-approximation-2108.05533</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-local-planning-with-linear-function-approximation-2108.05533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-local-planning-with-linear-function-approximation-2108.05533"/></url>
<url><loc>https://scifaro.com/en/abs/perf4sight-a-toolflow-to-model-cnn-training-performance-on-edge-gpus-2108.05580</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perf4sight-a-toolflow-to-model-cnn-training-performance-on-edge-gpus-2108.05580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perf4sight-a-toolflow-to-model-cnn-training-performance-on-edge-gpus-2108.05580"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-approach-to-active-learning-for-image-classification-2108.05595</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-approach-to-active-learning-for-image-classification-2108.05595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-approach-to-active-learning-for-image-classification-2108.05595"/></url>
<url><loc>https://scifaro.com/en/abs/affranknet-ranking-affect-using-privileged-information-2108.05598</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/affranknet-ranking-affect-using-privileged-information-2108.05598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/affranknet-ranking-affect-using-privileged-information-2108.05598"/></url>
<url><loc>https://scifaro.com/en/abs/freaai-automated-extraction-of-data-slices-to-test-machine-learning-models-2108.05620</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/freaai-automated-extraction-of-data-slices-to-test-machine-learning-models-2108.05620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/freaai-automated-extraction-of-data-slices-to-test-machine-learning-models-2108.05620"/></url>
<url><loc>https://scifaro.com/en/abs/on-minimal-representations-of-shallow-relu-networks-2108.05643</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-minimal-representations-of-shallow-relu-networks-2108.05643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-minimal-representations-of-shallow-relu-networks-2108.05643"/></url>
<url><loc>https://scifaro.com/en/abs/is-differentiable-architecture-search-truly-a-one-shot-method-2108.05647</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-differentiable-architecture-search-truly-a-one-shot-method-2108.05647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-differentiable-architecture-search-truly-a-one-shot-method-2108.05647"/></url>
<url><loc>https://scifaro.com/en/abs/development-of-a-risk-free-covid-19-screening-algorithm-from-routine-blood-tests-using-ensemble-machine-learning-2108.05660</loc><lastmod>2023-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/development-of-a-risk-free-covid-19-screening-algorithm-from-routine-blood-tests-using-ensemble-machine-learning-2108.05660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/development-of-a-risk-free-covid-19-screening-algorithm-from-routine-blood-tests-using-ensemble-machine-learning-2108.05660"/></url>
<url><loc>https://scifaro.com/en/abs/communication-optimization-in-large-scale-federated-learning-using-autoencoder-compressed-weight-updates-2108.05670</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-optimization-in-large-scale-federated-learning-using-autoencoder-compressed-weight-updates-2108.05670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-optimization-in-large-scale-federated-learning-using-autoencoder-compressed-weight-updates-2108.05670"/></url>
<url><loc>https://scifaro.com/en/abs/how-nonconformity-functions-and-difficulty-of-datasets-impact-the-efficiency-of-conformal-classifiers-2108.05677</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-nonconformity-functions-and-difficulty-of-datasets-impact-the-efficiency-of-conformal-classifiers-2108.05677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-nonconformity-functions-and-difficulty-of-datasets-impact-the-efficiency-of-conformal-classifiers-2108.05677"/></url>
<url><loc>https://scifaro.com/en/abs/preventing-catastrophic-forgetting-and-distribution-mismatch-in-knowledge-distillation-via-synthetic-data-2108.05698</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preventing-catastrophic-forgetting-and-distribution-mismatch-in-knowledge-distillation-via-synthetic-data-2108.05698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preventing-catastrophic-forgetting-and-distribution-mismatch-in-knowledge-distillation-via-synthetic-data-2108.05698"/></url>
<url><loc>https://scifaro.com/en/abs/an-approach-to-partial-observability-in-games-learning-to-both-act-and-observe-2108.05701</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-approach-to-partial-observability-in-games-learning-to-both-act-and-observe-2108.05701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-approach-to-partial-observability-in-games-learning-to-both-act-and-observe-2108.05701"/></url>
<url><loc>https://scifaro.com/en/abs/deep-microlocal-reconstruction-for-limited-angle-tomography-2108.05732</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-microlocal-reconstruction-for-limited-angle-tomography-2108.05732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-microlocal-reconstruction-for-limited-angle-tomography-2108.05732"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-attention-based-communication-efficient-federated-learning-2108.05765</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-attention-based-communication-efficient-federated-learning-2108.05765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-attention-based-communication-efficient-federated-learning-2108.05765"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-matured-dumb-teacher-for-fine-generalization-2108.05776</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-matured-dumb-teacher-for-fine-generalization-2108.05776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-matured-dumb-teacher-for-fine-generalization-2108.05776"/></url>
<url><loc>https://scifaro.com/en/abs/reimagining-an-autonomous-vehicle-2108.05805</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reimagining-an-autonomous-vehicle-2108.05805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reimagining-an-autonomous-vehicle-2108.05805"/></url>
<url><loc>https://scifaro.com/en/abs/patrickstar-parallel-training-of-pre-trained-models-via-chunk-based-memory-management-2108.05818</loc><lastmod>2022-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/patrickstar-parallel-training-of-pre-trained-models-via-chunk-based-memory-management-2108.05818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/patrickstar-parallel-training-of-pre-trained-models-via-chunk-based-memory-management-2108.05818"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-class-of-surrogate-functions-for-stable-and-efficient-reinforcement-learning-2108.05828</loc><lastmod>2023-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-class-of-surrogate-functions-for-stable-and-efficient-reinforcement-learning-2108.05828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-class-of-surrogate-functions-for-stable-and-efficient-reinforcement-learning-2108.05828"/></url>
<url><loc>https://scifaro.com/en/abs/logit-attenuating-weight-normalization-2108.05839</loc><lastmod>2021-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logit-attenuating-weight-normalization-2108.05839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logit-attenuating-weight-normalization-2108.05839"/></url>
<url><loc>https://scifaro.com/en/abs/dexmv-imitation-learning-for-dexterous-manipulation-from-human-videos-2108.05877</loc><lastmod>2022-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dexmv-imitation-learning-for-dexterous-manipulation-from-human-videos-2108.05877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dexmv-imitation-learning-for-dexterous-manipulation-from-human-videos-2108.05877"/></url>
<url><loc>https://scifaro.com/en/abs/alzheimer-s-disease-diagnosis-via-deep-factorization-machine-models-2108.05916</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alzheimer-s-disease-diagnosis-via-deep-factorization-machine-models-2108.05916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alzheimer-s-disease-diagnosis-via-deep-factorization-machine-models-2108.05916"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-discovery-of-intrinsic-dynamics-2108.05928</loc><lastmod>2023-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-discovery-of-intrinsic-dynamics-2108.05928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-discovery-of-intrinsic-dynamics-2108.05928"/></url>
<url><loc>https://scifaro.com/en/abs/data-quality-toolkit-automatic-assessment-of-data-quality-and-remediation-for-machine-learning-datasets-2108.05935</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-quality-toolkit-automatic-assessment-of-data-quality-and-remediation-for-machine-learning-datasets-2108.05935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-quality-toolkit-automatic-assessment-of-data-quality-and-remediation-for-machine-learning-datasets-2108.05935"/></url>
<url><loc>https://scifaro.com/en/abs/st-pcnn-spatio-temporal-physics-coupled-neural-networks-for-dynamics-forecasting-2108.05940</loc><lastmod>2021-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/st-pcnn-spatio-temporal-physics-coupled-neural-networks-for-dynamics-forecasting-2108.05940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/st-pcnn-spatio-temporal-physics-coupled-neural-networks-for-dynamics-forecasting-2108.05940"/></url>
<url><loc>https://scifaro.com/en/abs/room-classification-on-floor-plan-graphs-using-graph-neural-networks-2108.05947</loc><lastmod>2021-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/room-classification-on-floor-plan-graphs-using-graph-neural-networks-2108.05947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/room-classification-on-floor-plan-graphs-using-graph-neural-networks-2108.05947"/></url>
<url><loc>https://scifaro.com/en/abs/using-machine-learning-to-predict-engineering-technology-students-success-with-computer-aided-design-2108.05955</loc><lastmod>2021-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-machine-learning-to-predict-engineering-technology-students-success-with-computer-aided-design-2108.05955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-machine-learning-to-predict-engineering-technology-students-success-with-computer-aided-design-2108.05955"/></url>
<url><loc>https://scifaro.com/en/abs/an-operator-splitting-view-of-federated-learning-2108.05974</loc><lastmod>2025-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-operator-splitting-view-of-federated-learning-2108.05974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-operator-splitting-view-of-federated-learning-2108.05974"/></url>
<url><loc>https://scifaro.com/en/abs/datasets-for-studying-generalization-from-easy-to-hard-examples-2108.06011</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/datasets-for-studying-generalization-from-easy-to-hard-examples-2108.06011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/datasets-for-studying-generalization-from-easy-to-hard-examples-2108.06011"/></url>
<url><loc>https://scifaro.com/en/abs/an-information-theoretic-perspective-of-hierarchical-clustering-2108.06036</loc><lastmod>2021-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-information-theoretic-perspective-of-hierarchical-clustering-2108.06036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-information-theoretic-perspective-of-hierarchical-clustering-2108.06036"/></url>
<url><loc>https://scifaro.com/en/abs/tdm-trustworthy-decision-making-via-interpretability-enhancement-2108.06080</loc><lastmod>2021-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tdm-trustworthy-decision-making-via-interpretability-enhancement-2108.06080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tdm-trustworthy-decision-making-via-interpretability-enhancement-2108.06080"/></url>
<url><loc>https://scifaro.com/en/abs/the-stability-efficiency-dilemma-investigating-sequence-length-warmup-for-training-gpt-models-2108.06084</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-stability-efficiency-dilemma-investigating-sequence-length-warmup-for-training-gpt-models-2108.06084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-stability-efficiency-dilemma-investigating-sequence-length-warmup-for-training-gpt-models-2108.06084"/></url>
<url><loc>https://scifaro.com/en/abs/fedpara-low-rank-hadamard-product-for-communication-efficient-federated-learning-2108.06098</loc><lastmod>2023-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedpara-low-rank-hadamard-product-for-communication-efficient-federated-learning-2108.06098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedpara-low-rank-hadamard-product-for-communication-efficient-federated-learning-2108.06098"/></url>
<url><loc>https://scifaro.com/en/abs/q-mixing-network-for-multi-agent-pathfinding-in-partially-observable-grid-environments-2108.06148</loc><lastmod>2021-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/q-mixing-network-for-multi-agent-pathfinding-in-partially-observable-grid-environments-2108.06148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/q-mixing-network-for-multi-agent-pathfinding-in-partially-observable-grid-environments-2108.06148"/></url>
<url><loc>https://scifaro.com/en/abs/niapu-network-informed-adaptive-positive-unlabeled-learning-for-disease-gene-identification-2108.06158</loc><lastmod>2023-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/niapu-network-informed-adaptive-positive-unlabeled-learning-for-disease-gene-identification-2108.06158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/niapu-network-informed-adaptive-positive-unlabeled-learning-for-disease-gene-identification-2108.06158"/></url>
<url><loc>https://scifaro.com/en/abs/follow-the-prophet-accurate-online-conversion-rate-prediction-in-the-face-of-delayed-feedback-2108.06167</loc><lastmod>2021-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/follow-the-prophet-accurate-online-conversion-rate-prediction-in-the-face-of-delayed-feedback-2108.06167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/follow-the-prophet-accurate-online-conversion-rate-prediction-in-the-face-of-delayed-feedback-2108.06167"/></url>
<url><loc>https://scifaro.com/en/abs/w2v-bert-combining-contrastive-learning-and-masked-language-modeling-for-self-supervised-speech-pre-training-2108.06209</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/w2v-bert-combining-contrastive-learning-and-masked-language-modeling-for-self-supervised-speech-pre-training-2108.06209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/w2v-bert-combining-contrastive-learning-and-masked-language-modeling-for-self-supervised-speech-pre-training-2108.06209"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-fairness-metrics-roadblocks-and-challenges-for-ethical-ai-in-practice-2108.06217</loc><lastmod>2021-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-fairness-metrics-roadblocks-and-challenges-for-ethical-ai-in-practice-2108.06217"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-fairness-metrics-roadblocks-and-challenges-for-ethical-ai-in-practice-2108.06217"/></url>
<url><loc>https://scifaro.com/en/abs/online-fairness-aware-learning-with-imbalanced-data-streams-2108.06231</loc><lastmod>2021-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-fairness-aware-learning-with-imbalanced-data-streams-2108.06231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-fairness-aware-learning-with-imbalanced-data-streams-2108.06231"/></url>
<url><loc>https://scifaro.com/en/abs/mint-mainstream-and-independent-news-text-corpus-2108.06249</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mint-mainstream-and-independent-news-text-corpus-2108.06249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mint-mainstream-and-independent-news-text-corpus-2108.06249"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-structural-vulnerability-in-graph-convolutional-networks-2108.06280</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-structural-vulnerability-in-graph-convolutional-networks-2108.06280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-structural-vulnerability-in-graph-convolutional-networks-2108.06280"/></url>
<url><loc>https://scifaro.com/en/abs/random-subspace-mixture-models-for-interpretable-anomaly-detection-2108.06283</loc><lastmod>2021-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-subspace-mixture-models-for-interpretable-anomaly-detection-2108.06283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-subspace-mixture-models-for-interpretable-anomaly-detection-2108.06283"/></url>
<url><loc>https://scifaro.com/en/abs/context-aware-object-geotagging-2108.06302</loc><lastmod>2021-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-aware-object-geotagging-2108.06302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-aware-object-geotagging-2108.06302"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-split-learning-2108.06309</loc><lastmod>2021-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-split-learning-2108.06309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-split-learning-2108.06309"/></url>
<url><loc>https://scifaro.com/en/abs/continual-backprop-stochastic-gradient-descent-with-persistent-randomness-2108.06325</loc><lastmod>2022-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-backprop-stochastic-gradient-descent-with-persistent-randomness-2108.06325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-backprop-stochastic-gradient-descent-with-persistent-randomness-2108.06325"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-and-generalization-properties-of-the-random-projection-classification-method-2108.06339</loc><lastmod>2024-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-and-generalization-properties-of-the-random-projection-classification-method-2108.06339"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-and-generalization-properties-of-the-random-projection-classification-method-2108.06339"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-oods-as-datapoints-with-high-uncertainty-2108.06380</loc><lastmod>2021-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-oods-as-datapoints-with-high-uncertainty-2108.06380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-oods-as-datapoints-with-high-uncertainty-2108.06380"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-and-efficient-algorithms-for-general-mixable-losses-against-switching-oracles-2108.06411</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-and-efficient-algorithms-for-general-mixable-losses-against-switching-oracles-2108.06411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-and-efficient-algorithms-for-general-mixable-losses-against-switching-oracles-2108.06411"/></url>
<url><loc>https://scifaro.com/en/abs/the-sharpe-predictor-for-fairness-in-machine-learning-2108.06415</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-sharpe-predictor-for-fairness-in-machine-learning-2108.06415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-sharpe-predictor-for-fairness-in-machine-learning-2108.06415"/></url>
<url><loc>https://scifaro.com/en/abs/metadata-based-multi-task-bandits-with-bayesian-hierarchical-models-2108.06422</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metadata-based-multi-task-bandits-with-bayesian-hierarchical-models-2108.06422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metadata-based-multi-task-bandits-with-bayesian-hierarchical-models-2108.06422"/></url>
<url><loc>https://scifaro.com/en/abs/adagnn-a-multi-modal-latent-representation-meta-learner-for-gnns-based-on-adaboosting-2108.06452</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adagnn-a-multi-modal-latent-representation-meta-learner-for-gnns-based-on-adaboosting-2108.06452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adagnn-a-multi-modal-latent-representation-meta-learner-for-gnns-based-on-adaboosting-2108.06452"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-federated-meta-learning-over-multi-access-wireless-networks-2108.06453</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-federated-meta-learning-over-multi-access-wireless-networks-2108.06453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-federated-meta-learning-over-multi-access-wireless-networks-2108.06453"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-approximation-with-sparse-neural-networks-and-applications-2108.06467</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-approximation-with-sparse-neural-networks-and-applications-2108.06467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-approximation-with-sparse-neural-networks-and-applications-2108.06467"/></url>
<url><loc>https://scifaro.com/en/abs/dqn-control-solution-for-kdd-cup-2021-city-brain-challenge-2108.06491</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dqn-control-solution-for-kdd-cup-2021-city-brain-challenge-2108.06491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dqn-control-solution-for-kdd-cup-2021-city-brain-challenge-2108.06491"/></url>
<url><loc>https://scifaro.com/en/abs/linkteller-recovering-private-edges-from-graph-neural-networks-via-influence-analysis-2108.06504</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linkteller-recovering-private-edges-from-graph-neural-networks-via-influence-analysis-2108.06504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linkteller-recovering-private-edges-from-graph-neural-networks-via-influence-analysis-2108.06504"/></url>
<url><loc>https://scifaro.com/en/abs/active-assessment-of-prediction-services-as-accuracy-surface-over-attribute-combinations-2108.06514</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-assessment-of-prediction-services-as-accuracy-surface-over-attribute-combinations-2108.06514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-assessment-of-prediction-services-as-accuracy-surface-over-attribute-combinations-2108.06514"/></url>
<url><loc>https://scifaro.com/en/abs/fractional-transfer-learning-for-deep-model-based-reinforcement-learning-2108.06526</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fractional-transfer-learning-for-deep-model-based-reinforcement-learning-2108.06526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fractional-transfer-learning-for-deep-model-based-reinforcement-learning-2108.06526"/></url>
<url><loc>https://scifaro.com/en/abs/neuron-campaign-for-initialization-guided-by-information-bottleneck-theory-2108.06530</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuron-campaign-for-initialization-guided-by-information-bottleneck-theory-2108.06530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuron-campaign-for-initialization-guided-by-information-bottleneck-theory-2108.06530"/></url>
<url><loc>https://scifaro.com/en/abs/a-microscopic-pandemic-simulator-for-pandemic-prediction-using-scalable-million-agent-reinforcement-learning-2108.06589</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-microscopic-pandemic-simulator-for-pandemic-prediction-using-scalable-million-agent-reinforcement-learning-2108.06589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-microscopic-pandemic-simulator-for-pandemic-prediction-using-scalable-million-agent-reinforcement-learning-2108.06589"/></url>
<url><loc>https://scifaro.com/en/abs/offline-online-reinforcement-learning-for-energy-pricing-in-office-demand-response-lowering-energy-and-data-costs-2108.06594</loc><lastmod>2021-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-online-reinforcement-learning-for-energy-pricing-in-office-demand-response-lowering-energy-and-data-costs-2108.06594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-online-reinforcement-learning-for-energy-pricing-in-office-demand-response-lowering-energy-and-data-costs-2108.06594"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-gan-acceleration-using-memory-compression-technique-2108.06626</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-gan-acceleration-using-memory-compression-technique-2108.06626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-gan-acceleration-using-memory-compression-technique-2108.06626"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-the-relationship-between-dropout-regularization-and-model-complexity-in-neural-networks-2108.06628</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-the-relationship-between-dropout-regularization-and-model-complexity-in-neural-networks-2108.06628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-the-relationship-between-dropout-regularization-and-model-complexity-in-neural-networks-2108.06628"/></url>
<url><loc>https://scifaro.com/en/abs/policy-evaluation-and-temporal-difference-learning-in-continuous-time-and-space-a-martingale-approach-2108.06655</loc><lastmod>2022-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-evaluation-and-temporal-difference-learning-in-continuous-time-and-space-a-martingale-approach-2108.06655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-evaluation-and-temporal-difference-learning-in-continuous-time-and-space-a-martingale-approach-2108.06655"/></url>
<url><loc>https://scifaro.com/en/abs/deep-geospatial-interpolation-networks-2108.06670</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-geospatial-interpolation-networks-2108.06670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-geospatial-interpolation-networks-2108.06670"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-theoretical-advantages-of-complex-reaction-networks-2108.06711</loc><lastmod>2022-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-theoretical-advantages-of-complex-reaction-networks-2108.06711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-theoretical-advantages-of-complex-reaction-networks-2108.06711"/></url>
<url><loc>https://scifaro.com/en/abs/training-for-the-future-a-simple-gradient-interpolation-loss-to-generalize-along-time-2108.06721</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-for-the-future-a-simple-gradient-interpolation-loss-to-generalize-along-time-2108.06721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-for-the-future-a-simple-gradient-interpolation-loss-to-generalize-along-time-2108.06721"/></url>
<url><loc>https://scifaro.com/en/abs/effective-and-efficient-graph-learning-for-multi-view-clustering-2108.06734</loc><lastmod>2023-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-and-efficient-graph-learning-for-multi-view-clustering-2108.06734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-and-efficient-graph-learning-for-multi-view-clustering-2108.06734"/></url>
<url><loc>https://scifaro.com/en/abs/an-investigation-of-replay-based-approaches-for-continual-learning-2108.06758</loc><lastmod>2022-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-investigation-of-replay-based-approaches-for-continual-learning-2108.06758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-investigation-of-replay-based-approaches-for-continual-learning-2108.06758"/></url>
<url><loc>https://scifaro.com/en/abs/event2graph-event-driven-bipartite-graph-for-multivariate-time-series-anomaly-detection-2108.06783</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/event2graph-event-driven-bipartite-graph-for-multivariate-time-series-anomaly-detection-2108.06783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/event2graph-event-driven-bipartite-graph-for-multivariate-time-series-anomaly-detection-2108.06783"/></url>
<url><loc>https://scifaro.com/en/abs/deep-adversarially-enhanced-k-nearest-neighbors-2108.06797</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-adversarially-enhanced-k-nearest-neighbors-2108.06797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-adversarially-enhanced-k-nearest-neighbors-2108.06797"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-regularization-of-bregman-proximal-point-algorithm-and-mirror-descent-on-separable-data-2108.06808</loc><lastmod>2023-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-regularization-of-bregman-proximal-point-algorithm-and-mirror-descent-on-separable-data-2108.06808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-regularization-of-bregman-proximal-point-algorithm-and-mirror-descent-on-separable-data-2108.06808"/></url>
<url><loc>https://scifaro.com/en/abs/batched-thompson-sampling-for-multi-armed-bandits-2108.06812</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batched-thompson-sampling-for-multi-armed-bandits-2108.06812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batched-thompson-sampling-for-multi-armed-bandits-2108.06812"/></url>
<url><loc>https://scifaro.com/en/abs/do-proportionate-algorithms-exploit-sparsity-2108.06846</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/do-proportionate-algorithms-exploit-sparsity-2108.06846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/do-proportionate-algorithms-exploit-sparsity-2108.06846"/></url>
<url><loc>https://scifaro.com/en/abs/introduction-to-quantum-reinforcement-learning-theory-and-pennylane-based-implementation-2108.06849</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introduction-to-quantum-reinforcement-learning-theory-and-pennylane-based-implementation-2108.06849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introduction-to-quantum-reinforcement-learning-theory-and-pennylane-based-implementation-2108.06849"/></url>
<url><loc>https://scifaro.com/en/abs/generating-cyber-threat-intelligence-to-discover-potential-security-threats-using-classification-and-topic-modeling-2108.06862</loc><lastmod>2022-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-cyber-threat-intelligence-to-discover-potential-security-threats-using-classification-and-topic-modeling-2108.06862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-cyber-threat-intelligence-to-discover-potential-security-threats-using-classification-and-topic-modeling-2108.06862"/></url>
<url><loc>https://scifaro.com/en/abs/nowcasting-nets-deep-neural-network-structures-for-precipitation-nowcasting-using-imerg-2108.06868</loc><lastmod>2022-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nowcasting-nets-deep-neural-network-structures-for-precipitation-nowcasting-using-imerg-2108.06868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nowcasting-nets-deep-neural-network-structures-for-precipitation-nowcasting-using-imerg-2108.06868"/></url>
<url><loc>https://scifaro.com/en/abs/fedchain-chained-algorithms-for-near-optimal-communication-cost-in-federated-learning-2108.06869</loc><lastmod>2023-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedchain-chained-algorithms-for-near-optimal-communication-cost-in-federated-learning-2108.06869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedchain-chained-algorithms-for-near-optimal-communication-cost-in-federated-learning-2108.06869"/></url>
<url><loc>https://scifaro.com/en/abs/data-efficient-human-intention-prediction-leveraging-neural-network-verification-and-expert-guidance-2108.06871</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-efficient-human-intention-prediction-leveraging-neural-network-verification-and-expert-guidance-2108.06871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-efficient-human-intention-prediction-leveraging-neural-network-verification-and-expert-guidance-2108.06871"/></url>
<url><loc>https://scifaro.com/en/abs/provable-data-clustering-via-innovation-search-2108.06888</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-data-clustering-via-innovation-search-2108.06888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-data-clustering-via-innovation-search-2108.06888"/></url>
<url><loc>https://scifaro.com/en/abs/causal-incremental-graph-convolution-for-recommender-system-retraining-2108.06889</loc><lastmod>2022-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-incremental-graph-convolution-for-recommender-system-retraining-2108.06889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-incremental-graph-convolution-for-recommender-system-retraining-2108.06889"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-attributions-and-interactions-of-adversarial-attacks-2108.06895</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-attributions-and-interactions-of-adversarial-attacks-2108.06895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-attributions-and-interactions-of-adversarial-attacks-2108.06895"/></url>
<url><loc>https://scifaro.com/en/abs/challenges-for-cognitive-decoding-using-deep-learning-methods-2108.06896</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-for-cognitive-decoding-using-deep-learning-methods-2108.06896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-for-cognitive-decoding-using-deep-learning-methods-2108.06896"/></url>
<url><loc>https://scifaro.com/en/abs/neural-to-tree-policy-distillation-with-policy-improvement-criterion-2108.06898</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-to-tree-policy-distillation-with-policy-improvement-criterion-2108.06898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-to-tree-policy-distillation-with-policy-improvement-criterion-2108.06898"/></url>
<url><loc>https://scifaro.com/en/abs/a-physics-informed-variational-deeponet-for-predicting-the-crack-path-in-brittle-materials-2108.06905</loc><lastmod>2022-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-physics-informed-variational-deeponet-for-predicting-the-crack-path-in-brittle-materials-2108.06905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-physics-informed-variational-deeponet-for-predicting-the-crack-path-in-brittle-materials-2108.06905"/></url>
<url><loc>https://scifaro.com/en/abs/select-wisely-and-explain-active-learning-and-probabilistic-local-post-hoc-explainability-2108.06907</loc><lastmod>2022-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/select-wisely-and-explain-active-learning-and-probabilistic-local-post-hoc-explainability-2108.06907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/select-wisely-and-explain-active-learning-and-probabilistic-local-post-hoc-explainability-2108.06907"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-actor-critic-policy-with-optimized-training-datasets-2108.06911</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-actor-critic-policy-with-optimized-training-datasets-2108.06911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-actor-critic-policy-with-optimized-training-datasets-2108.06911"/></url>
<url><loc>https://scifaro.com/en/abs/blockchain-based-trustworthy-federated-learning-architecture-2108.06912</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blockchain-based-trustworthy-federated-learning-architecture-2108.06912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blockchain-based-trustworthy-federated-learning-architecture-2108.06912"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-no-regret-learning-in-general-games-2108.06924</loc><lastmod>2023-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-no-regret-learning-in-general-games-2108.06924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-no-regret-learning-in-general-games-2108.06924"/></url>
<url><loc>https://scifaro.com/en/abs/task-sensitive-concept-drift-detector-with-constraint-embedding-2108.06980</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-sensitive-concept-drift-detector-with-constraint-embedding-2108.06980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-sensitive-concept-drift-detector-with-constraint-embedding-2108.06980"/></url>
<url><loc>https://scifaro.com/en/abs/a-diffusion-map-based-algorithm-for-gradient-computation-on-manifolds-and-applications-2108.06988</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-diffusion-map-based-algorithm-for-gradient-computation-on-manifolds-and-applications-2108.06988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-diffusion-map-based-algorithm-for-gradient-computation-on-manifolds-and-applications-2108.06988"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-safety-case-for-hardware-fault-tolerance-in-convolutional-neural-networks-using-activation-range-supervision-2108.07019</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-safety-case-for-hardware-fault-tolerance-in-convolutional-neural-networks-using-activation-range-supervision-2108.07019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-safety-case-for-hardware-fault-tolerance-in-convolutional-neural-networks-using-activation-range-supervision-2108.07019"/></url>
<url><loc>https://scifaro.com/en/abs/implicitly-regularized-rl-with-implicit-q-values-2108.07041</loc><lastmod>2022-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicitly-regularized-rl-with-implicit-q-values-2108.07041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicitly-regularized-rl-with-implicit-q-values-2108.07041"/></url>
<url><loc>https://scifaro.com/en/abs/wiser-an-end-to-end-structure-learning-and-deployment-framework-for-causal-graphical-models-2108.07046</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wiser-an-end-to-end-structure-learning-and-deployment-framework-for-causal-graphical-models-2108.07046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wiser-an-end-to-end-structure-learning-and-deployment-framework-for-causal-graphical-models-2108.07046"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-and-interpreting-faults-in-vulnerable-power-grids-with-machine-learning-2108.07060</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-and-interpreting-faults-in-vulnerable-power-grids-with-machine-learning-2108.07060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-and-interpreting-faults-in-vulnerable-power-grids-with-machine-learning-2108.07060"/></url>
<url><loc>https://scifaro.com/en/abs/multistream-graph-attention-networks-for-wind-speed-forecasting-2108.07063</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multistream-graph-attention-networks-for-wind-speed-forecasting-2108.07063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multistream-graph-attention-networks-for-wind-speed-forecasting-2108.07063"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-and-exploiting-structures-for-reliable-deep-learning-2108.07083</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-and-exploiting-structures-for-reliable-deep-learning-2108.07083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-and-exploiting-structures-for-reliable-deep-learning-2108.07083"/></url>
<url><loc>https://scifaro.com/en/abs/task-wise-split-gradient-boosting-trees-for-multi-center-diabetes-prediction-2108.07107</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-wise-split-gradient-boosting-trees-for-multi-center-diabetes-prediction-2108.07107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-wise-split-gradient-boosting-trees-for-multi-center-diabetes-prediction-2108.07107"/></url>
<url><loc>https://scifaro.com/en/abs/airex-neural-network-based-approach-for-air-quality-inference-in-unmonitored-cities-2108.07120</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/airex-neural-network-based-approach-for-air-quality-inference-in-unmonitored-cities-2108.07120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/airex-neural-network-based-approach-for-air-quality-inference-in-unmonitored-cities-2108.07120"/></url>
<url><loc>https://scifaro.com/en/abs/using-cyber-terrain-in-reinforcement-learning-for-penetration-testing-2108.07124</loc><lastmod>2022-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-cyber-terrain-in-reinforcement-learning-for-penetration-testing-2108.07124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-cyber-terrain-in-reinforcement-learning-for-penetration-testing-2108.07124"/></url>
<url><loc>https://scifaro.com/en/abs/neural-predictive-monitoring-under-partial-observability-2108.07134</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-predictive-monitoring-under-partial-observability-2108.07134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-predictive-monitoring-under-partial-observability-2108.07134"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-feature-representations-for-cricket-data-analysis-using-deep-learning-based-multi-modal-fusion-model-2108.07139</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-feature-representations-for-cricket-data-analysis-using-deep-learning-based-multi-modal-fusion-model-2108.07139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-feature-representations-for-cricket-data-analysis-using-deep-learning-based-multi-modal-fusion-model-2108.07139"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-infinite-relational-model-2108.07208</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-infinite-relational-model-2108.07208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-infinite-relational-model-2108.07208"/></url>
<url><loc>https://scifaro.com/en/abs/a-physics-informed-neural-network-approach-to-solution-and-identification-of-biharmonic-equations-of-elasticity-2108.07243</loc><lastmod>2021-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-physics-informed-neural-network-approach-to-solution-and-identification-of-biharmonic-equations-of-elasticity-2108.07243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-physics-informed-neural-network-approach-to-solution-and-identification-of-biharmonic-equations-of-elasticity-2108.07243"/></url>
<url><loc>https://scifaro.com/en/abs/robust-hierarchical-clustering-for-directed-networks-an-axiomatic-approach-2108.07247</loc><lastmod>2021-08-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-hierarchical-clustering-for-directed-networks-an-axiomatic-approach-2108.07247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-hierarchical-clustering-for-directed-networks-an-axiomatic-approach-2108.07247"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-opportunities-and-risks-of-foundation-models-2108.07258</loc><lastmod>2022-07-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-opportunities-and-risks-of-foundation-models-2108.07258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-opportunities-and-risks-of-foundation-models-2108.07258"/></url>
<url><loc>https://scifaro.com/en/abs/aprel-a-library-for-active-preference-based-reward-learning-algorithms-2108.07259</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aprel-a-library-for-active-preference-based-reward-learning-algorithms-2108.07259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aprel-a-library-for-active-preference-based-reward-learning-algorithms-2108.07259"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-factors-driving-the-opioid-epidemic-using-machine-learning-2108.07301</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-factors-driving-the-opioid-epidemic-using-machine-learning-2108.07301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-factors-driving-the-opioid-epidemic-using-machine-learning-2108.07301"/></url>
<url><loc>https://scifaro.com/en/abs/synthesizing-pareto-optimal-interpretations-for-black-box-models-2108.07307</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthesizing-pareto-optimal-interpretations-for-black-box-models-2108.07307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthesizing-pareto-optimal-interpretations-for-black-box-models-2108.07307"/></url>
<url><loc>https://scifaro.com/en/abs/federated-asymptotics-a-model-to-compare-federated-learning-algorithms-2108.07313</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-asymptotics-a-model-to-compare-federated-learning-algorithms-2108.07313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-asymptotics-a-model-to-compare-federated-learning-algorithms-2108.07313"/></url>
<url><loc>https://scifaro.com/en/abs/weakly-supervised-classification-using-group-level-labels-2108.07330</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weakly-supervised-classification-using-group-level-labels-2108.07330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weakly-supervised-classification-using-group-level-labels-2108.07330"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-cluster-via-same-cluster-queries-2108.07383</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-cluster-via-same-cluster-queries-2108.07383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-cluster-via-same-cluster-queries-2108.07383"/></url>
<url><loc>https://scifaro.com/en/abs/bobcat-bilevel-optimization-based-computerized-adaptive-testing-2108.07386</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bobcat-bilevel-optimization-based-computerized-adaptive-testing-2108.07386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bobcat-bilevel-optimization-based-computerized-adaptive-testing-2108.07386"/></url>
<url><loc>https://scifaro.com/en/abs/incorporating-uncertainty-in-learning-to-defer-algorithms-for-safe-computer-aided-diagnosis-2108.07392</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incorporating-uncertainty-in-learning-to-defer-algorithms-for-safe-computer-aided-diagnosis-2108.07392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incorporating-uncertainty-in-learning-to-defer-algorithms-for-safe-computer-aided-diagnosis-2108.07392"/></url>
<url><loc>https://scifaro.com/en/abs/diagnosis-of-acute-myeloid-leukaemia-using-machine-learning-2108.07396</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diagnosis-of-acute-myeloid-leukaemia-using-machine-learning-2108.07396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diagnosis-of-acute-myeloid-leukaemia-using-machine-learning-2108.07396"/></url>
<url><loc>https://scifaro.com/en/abs/farf-a-fair-and-adaptive-random-forests-classifier-2108.07403</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/farf-a-fair-and-adaptive-random-forests-classifier-2108.07403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/farf-a-fair-and-adaptive-random-forests-classifier-2108.07403"/></url>
<url><loc>https://scifaro.com/en/abs/from-the-greene-wu-convolution-to-gradient-estimation-over-riemannian-manifolds-2108.07406</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-the-greene-wu-convolution-to-gradient-estimation-over-riemannian-manifolds-2108.07406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-the-greene-wu-convolution-to-gradient-estimation-over-riemannian-manifolds-2108.07406"/></url>
<url><loc>https://scifaro.com/en/abs/stability-and-generalization-for-randomized-coordinate-descent-2108.07414</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stability-and-generalization-for-randomized-coordinate-descent-2108.07414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stability-and-generalization-for-randomized-coordinate-descent-2108.07414"/></url>
<url><loc>https://scifaro.com/en/abs/memory-efficient-factorization-machines-via-binarizing-both-data-and-model-coefficients-2108.07421</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-efficient-factorization-machines-via-binarizing-both-data-and-model-coefficients-2108.07421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-efficient-factorization-machines-via-binarizing-both-data-and-model-coefficients-2108.07421"/></url>
<url><loc>https://scifaro.com/en/abs/aggregation-delayed-federated-learning-2108.07433</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregation-delayed-federated-learning-2108.07433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregation-delayed-federated-learning-2108.07433"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-protein-using-large-scale-pretrain-language-model-2108.07435</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-protein-using-large-scale-pretrain-language-model-2108.07435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-protein-using-large-scale-pretrain-language-model-2108.07435"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-biased-subgroups-in-ranking-and-classification-2108.07450</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-biased-subgroups-in-ranking-and-classification-2108.07450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-biased-subgroups-in-ranking-and-classification-2108.07450"/></url>
<url><loc>https://scifaro.com/en/abs/towards-secure-and-practical-machine-learning-via-secret-sharing-and-random-permutation-2108.07463</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-secure-and-practical-machine-learning-via-secret-sharing-and-random-permutation-2108.07463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-secure-and-practical-machine-learning-via-secret-sharing-and-random-permutation-2108.07463"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-a-baseline-of-self-supervised-learning-towards-reducing-labeling-costs-for-image-classification-2108.07464</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-a-baseline-of-self-supervised-learning-towards-reducing-labeling-costs-for-image-classification-2108.07464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-a-baseline-of-self-supervised-learning-towards-reducing-labeling-costs-for-image-classification-2108.07464"/></url>
<url><loc>https://scifaro.com/en/abs/rrlfsor-an-efficient-self-supervised-learning-strategy-of-graph-convolutional-networks-2108.07481</loc><lastmod>2021-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rrlfsor-an-efficient-self-supervised-learning-strategy-of-graph-convolutional-networks-2108.07481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rrlfsor-an-efficient-self-supervised-learning-strategy-of-graph-convolutional-networks-2108.07481"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-correlated-data-taming-the-tail-for-age-optimal-industrial-iot-2108.07504</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-correlated-data-taming-the-tail-for-age-optimal-industrial-iot-2108.07504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-correlated-data-taming-the-tail-for-age-optimal-industrial-iot-2108.07504"/></url>
<url><loc>https://scifaro.com/en/abs/moi-mixer-improving-mlp-mixer-with-multi-order-interactions-in-sequential-recommendation-2108.07505</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moi-mixer-improving-mlp-mixer-with-multi-order-interactions-in-sequential-recommendation-2108.07505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moi-mixer-improving-mlp-mixer-with-multi-order-interactions-in-sequential-recommendation-2108.07505"/></url>
<url><loc>https://scifaro.com/en/abs/graph-contrastive-learning-for-anomaly-detection-2108.07516</loc><lastmod>2022-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-contrastive-learning-for-anomaly-detection-2108.07516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-contrastive-learning-for-anomaly-detection-2108.07516"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-smooth-and-sparse-neural-receptive-fields-with-a-flexible-spline-basis-2108.07537</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-smooth-and-sparse-neural-receptive-fields-with-a-flexible-spline-basis-2108.07537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-smooth-and-sparse-neural-receptive-fields-with-a-flexible-spline-basis-2108.07537"/></url>
<url><loc>https://scifaro.com/en/abs/o-has-optical-hardware-accelerator-search-for-boosting-both-acceleration-performance-and-development-speed-2108.07538</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/o-has-optical-hardware-accelerator-search-for-boosting-both-acceleration-performance-and-development-speed-2108.07538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/o-has-optical-hardware-accelerator-search-for-boosting-both-acceleration-performance-and-development-speed-2108.07538"/></url>
<url><loc>https://scifaro.com/en/abs/kcnet-an-insect-inspired-single-hidden-layer-neural-network-with-randomized-binary-weights-for-prediction-and-classification-tasks-2108.07554</loc><lastmod>2025-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kcnet-an-insect-inspired-single-hidden-layer-neural-network-with-randomized-binary-weights-for-prediction-and-classification-tasks-2108.07554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kcnet-an-insect-inspired-single-hidden-layer-neural-network-with-randomized-binary-weights-for-prediction-and-classification-tasks-2108.07554"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-state-augmentation-methods-for-reinforcement-learning-with-stochastic-delays-2108.07555</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-state-augmentation-methods-for-reinforcement-learning-with-stochastic-delays-2108.07555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-state-augmentation-methods-for-reinforcement-learning-with-stochastic-delays-2108.07555"/></url>
<url><loc>https://scifaro.com/en/abs/direct-domain-adaptation-through-reciprocal-linear-transformations-2108.07600</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direct-domain-adaptation-through-reciprocal-linear-transformations-2108.07600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direct-domain-adaptation-through-reciprocal-linear-transformations-2108.07600"/></url>
<url><loc>https://scifaro.com/en/abs/when-should-you-defend-your-classifier-a-game-theoretical-analysis-of-countermeasures-against-adversarial-examples-2108.07602</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-should-you-defend-your-classifier-a-game-theoretical-analysis-of-countermeasures-against-adversarial-examples-2108.07602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-should-you-defend-your-classifier-a-game-theoretical-analysis-of-countermeasures-against-adversarial-examples-2108.07602"/></url>
<url><loc>https://scifaro.com/en/abs/imital-learning-active-learning-strategies-from-synthetic-data-2108.07670</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imital-learning-active-learning-strategies-from-synthetic-data-2108.07670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imital-learning-active-learning-strategies-from-synthetic-data-2108.07670"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-laws-for-deep-learning-2108.07686</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-laws-for-deep-learning-2108.07686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-laws-for-deep-learning-2108.07686"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-cluster-validity-index-guided-online-learning-for-performance-and-robustness-to-presentation-order-2108.07743</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-cluster-validity-index-guided-online-learning-for-performance-and-robustness-to-presentation-order-2108.07743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-cluster-validity-index-guided-online-learning-for-performance-and-robustness-to-presentation-order-2108.07743"/></url>
<url><loc>https://scifaro.com/en/abs/toward-a-standard-model-of-machine-learning-2108.07783</loc><lastmod>2023-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-a-standard-model-of-machine-learning-2108.07783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-a-standard-model-of-machine-learning-2108.07783"/></url>
<url><loc>https://scifaro.com/en/abs/feature-recommendation-for-structural-equation-model-discovery-in-process-mining-2108.07795</loc><lastmod>2021-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-recommendation-for-structural-equation-model-discovery-in-process-mining-2108.07795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-recommendation-for-structural-equation-model-discovery-in-process-mining-2108.07795"/></url>
<url><loc>https://scifaro.com/en/abs/an-extensible-benchmark-suite-for-learning-to-simulate-physical-systems-2108.07799</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-extensible-benchmark-suite-for-learning-to-simulate-physical-systems-2108.07799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-extensible-benchmark-suite-for-learning-to-simulate-physical-systems-2108.07799"/></url>
<url><loc>https://scifaro.com/en/abs/bagging-supervised-autoencoder-classifier-for-credit-scoring-2108.07800</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bagging-supervised-autoencoder-classifier-for-credit-scoring-2108.07800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bagging-supervised-autoencoder-classifier-for-credit-scoring-2108.07800"/></url>
<url><loc>https://scifaro.com/en/abs/compressing-gradients-by-exploiting-temporal-correlation-in-momentum-sgd-2108.07827</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressing-gradients-by-exploiting-temporal-correlation-in-momentum-sgd-2108.07827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressing-gradients-by-exploiting-temporal-correlation-in-momentum-sgd-2108.07827"/></url>
<url><loc>https://scifaro.com/en/abs/coverage-hole-detection-for-mmwave-networks-an-unsupervised-learning-approach-2108.07854</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coverage-hole-detection-for-mmwave-networks-an-unsupervised-learning-approach-2108.07854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coverage-hole-detection-for-mmwave-networks-an-unsupervised-learning-approach-2108.07854"/></url>
<url><loc>https://scifaro.com/en/abs/statistically-near-optimal-hypothesis-selection-2108.07880</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistically-near-optimal-hypothesis-selection-2108.07880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistically-near-optimal-hypothesis-selection-2108.07880"/></url>
<url><loc>https://scifaro.com/en/abs/diversity-based-trajectory-and-goal-selection-with-hindsight-experience-replay-2108.07887</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversity-based-trajectory-and-goal-selection-with-hindsight-experience-replay-2108.07887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversity-based-trajectory-and-goal-selection-with-hindsight-experience-replay-2108.07887"/></url>
<url><loc>https://scifaro.com/en/abs/hypersf-spectral-hypergraph-coarsening-via-flow-based-local-clustering-2108.07901</loc><lastmod>2021-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypersf-spectral-hypergraph-coarsening-via-flow-based-local-clustering-2108.07901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypersf-spectral-hypergraph-coarsening-via-flow-based-local-clustering-2108.07901"/></url>
<url><loc>https://scifaro.com/en/abs/m-ar-k-fast-independent-component-analysis-2108.07908</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/m-ar-k-fast-independent-component-analysis-2108.07908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/m-ar-k-fast-independent-component-analysis-2108.07908"/></url>
<url><loc>https://scifaro.com/en/abs/data-pricing-in-machine-learning-pipelines-2108.07915</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-pricing-in-machine-learning-pipelines-2108.07915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-pricing-in-machine-learning-pipelines-2108.07915"/></url>
<url><loc>https://scifaro.com/en/abs/collaboration-equilibrium-in-federated-learning-2108.07926</loc><lastmod>2022-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaboration-equilibrium-in-federated-learning-2108.07926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaboration-equilibrium-in-federated-learning-2108.07926"/></url>
<url><loc>https://scifaro.com/en/abs/fed-tgan-federated-learning-framework-for-synthesizing-tabular-data-2108.07927</loc><lastmod>2025-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fed-tgan-federated-learning-framework-for-synthesizing-tabular-data-2108.07927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fed-tgan-federated-learning-framework-for-synthesizing-tabular-data-2108.07927"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-semi-supervised-inductive-transfer-learning-framework-co-transfer-2108.07930</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-semi-supervised-inductive-transfer-learning-framework-co-transfer-2108.07930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-semi-supervised-inductive-transfer-learning-framework-co-transfer-2108.07930"/></url>
<url><loc>https://scifaro.com/en/abs/learning-federated-representations-and-recommendations-with-limited-negatives-2108.07931</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-federated-representations-and-recommendations-with-limited-negatives-2108.07931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-federated-representations-and-recommendations-with-limited-negatives-2108.07931"/></url>
<url><loc>https://scifaro.com/en/abs/look-before-you-leap-designing-a-human-centered-ai-system-for-change-risk-assessment-2108.07951</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/look-before-you-leap-designing-a-human-centered-ai-system-for-change-risk-assessment-2108.07951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/look-before-you-leap-designing-a-human-centered-ai-system-for-change-risk-assessment-2108.07951"/></url>
<url><loc>https://scifaro.com/en/abs/verifying-low-dimensional-input-neural-networks-via-input-quantization-2108.07961</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/verifying-low-dimensional-input-neural-networks-via-input-quantization-2108.07961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/verifying-low-dimensional-input-neural-networks-via-input-quantization-2108.07961"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-identification-of-covariate-shift-in-image-data-2108.08000</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-identification-of-covariate-shift-in-image-data-2108.08000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-identification-of-covariate-shift-in-image-data-2108.08000"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-cluster-embedding-2108.08003</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-cluster-embedding-2108.08003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-cluster-embedding-2108.08003"/></url>
<url><loc>https://scifaro.com/en/abs/xai-methods-for-neural-time-series-classification-a-brief-review-2108.08009</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xai-methods-for-neural-time-series-classification-a-brief-review-2108.08009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xai-methods-for-neural-time-series-classification-a-brief-review-2108.08009"/></url>
<url><loc>https://scifaro.com/en/abs/rank-nosh-efficient-predictor-based-architecture-search-via-non-uniform-successive-halving-2108.08019</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-nosh-efficient-predictor-based-architecture-search-via-non-uniform-successive-halving-2108.08019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-nosh-efficient-predictor-based-architecture-search-via-non-uniform-successive-halving-2108.08019"/></url>
<url><loc>https://scifaro.com/en/abs/variational-graph-normalized-auto-encoders-2108.08046</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-graph-normalized-auto-encoders-2108.08046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-graph-normalized-auto-encoders-2108.08046"/></url>
<url><loc>https://scifaro.com/en/abs/deep-graph-memory-networks-for-forgetting-robust-knowledge-tracing-2108.08105</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-graph-memory-networks-for-forgetting-robust-knowledge-tracing-2108.08105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-graph-memory-networks-for-forgetting-robust-knowledge-tracing-2108.08105"/></url>
<url><loc>https://scifaro.com/en/abs/existence-uniqueness-and-convergence-rates-for-gradient-flows-in-the-training-of-artificial-neural-networks-with-relu-activation-2108.08106</loc><lastmod>2023-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/existence-uniqueness-and-convergence-rates-for-gradient-flows-in-the-training-of-artificial-neural-networks-with-relu-activation-2108.08106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/existence-uniqueness-and-convergence-rates-for-gradient-flows-in-the-training-of-artificial-neural-networks-with-relu-activation-2108.08106"/></url>
<url><loc>https://scifaro.com/en/abs/stack-index-prediction-using-time-series-analysis-2108.08120</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stack-index-prediction-using-time-series-analysis-2108.08120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stack-index-prediction-using-time-series-analysis-2108.08120"/></url>
<url><loc>https://scifaro.com/en/abs/deepexpress-heterogeneous-and-coupled-sequence-modeling-for-express-delivery-prediction-2108.08170</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepexpress-heterogeneous-and-coupled-sequence-modeling-for-express-delivery-prediction-2108.08170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepexpress-heterogeneous-and-coupled-sequence-modeling-for-express-delivery-prediction-2108.08170"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-mlps-with-dropouts-batch-normalization-and-skip-connections-2108.08186</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-mlps-with-dropouts-batch-normalization-and-skip-connections-2108.08186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-mlps-with-dropouts-batch-normalization-and-skip-connections-2108.08186"/></url>
<url><loc>https://scifaro.com/en/abs/fox-nas-fast-on-device-and-explainable-neural-architecture-search-2108.08189</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fox-nas-fast-on-device-and-explainable-neural-architecture-search-2108.08189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fox-nas-fast-on-device-and-explainable-neural-architecture-search-2108.08189"/></url>
<url><loc>https://scifaro.com/en/abs/care-coherent-actionable-recourse-based-on-sound-counterfactual-explanations-2108.08197</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/care-coherent-actionable-recourse-based-on-sound-counterfactual-explanations-2108.08197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/care-coherent-actionable-recourse-based-on-sound-counterfactual-explanations-2108.08197"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-adaptive-regularization-for-deep-learning-with-noisy-labels-2108.08212</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-adaptive-regularization-for-deep-learning-with-noisy-labels-2108.08212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-adaptive-regularization-for-deep-learning-with-noisy-labels-2108.08212"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-distribution-detection-using-outlier-detection-methods-2108.08218</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-distribution-detection-using-outlier-detection-methods-2108.08218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-distribution-detection-using-outlier-detection-methods-2108.08218"/></url>
<url><loc>https://scifaro.com/en/abs/transformers-predicting-the-future-applying-attention-in-next-frame-and-time-series-forecasting-2108.08224</loc><lastmod>2021-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformers-predicting-the-future-applying-attention-in-next-frame-and-time-series-forecasting-2108.08224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformers-predicting-the-future-applying-attention-in-next-frame-and-time-series-forecasting-2108.08224"/></url>
<url><loc>https://scifaro.com/en/abs/gsvma-a-genetic-support-vector-machine-anova-method-for-cad-diagnosis-based-on-z-alizadeh-sani-dataset-2108.08292</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gsvma-a-genetic-support-vector-machine-anova-method-for-cad-diagnosis-based-on-z-alizadeh-sani-dataset-2108.08292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gsvma-a-genetic-support-vector-machine-anova-method-for-cad-diagnosis-based-on-z-alizadeh-sani-dataset-2108.08292"/></url>
<url><loc>https://scifaro.com/en/abs/airchitect-learning-custom-architecture-design-and-mapping-space-2108.08295</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/airchitect-learning-custom-architecture-design-and-mapping-space-2108.08295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/airchitect-learning-custom-architecture-design-and-mapping-space-2108.08295"/></url>
<url><loc>https://scifaro.com/en/abs/deep-contrastive-multiview-network-embedding-2108.08296</loc><lastmod>2022-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-contrastive-multiview-network-embedding-2108.08296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-contrastive-multiview-network-embedding-2108.08296"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-surrogate-modeling-benchmark-for-temperature-field-reconstruction-of-heat-source-systems-2108.08298</loc><lastmod>2023-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-surrogate-modeling-benchmark-for-temperature-field-reconstruction-of-heat-source-systems-2108.08298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-surrogate-modeling-benchmark-for-temperature-field-reconstruction-of-heat-source-systems-2108.08298"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-illicit-drug-dealers-on-instagram-with-large-scale-multimodal-data-fusion-2108.08301</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-illicit-drug-dealers-on-instagram-with-large-scale-multimodal-data-fusion-2108.08301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-illicit-drug-dealers-on-instagram-with-large-scale-multimodal-data-fusion-2108.08301"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-and-propagation-graph-attention-network-for-spatial-temporal-prediction-with-outdoor-cellular-traffic-2108.08307</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-and-propagation-graph-attention-network-for-spatial-temporal-prediction-with-outdoor-cellular-traffic-2108.08307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-and-propagation-graph-attention-network-for-spatial-temporal-prediction-with-outdoor-cellular-traffic-2108.08307"/></url>
<url><loc>https://scifaro.com/en/abs/computing-steiner-trees-using-graph-neural-networks-2108.08368</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-steiner-trees-using-graph-neural-networks-2108.08368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-steiner-trees-using-graph-neural-networks-2108.08368"/></url>
<url><loc>https://scifaro.com/en/abs/federated-variational-learning-for-anomaly-detection-in-multivariate-time-series-2108.08404</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-variational-learning-for-anomaly-detection-in-multivariate-time-series-2108.08404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-variational-learning-for-anomaly-detection-in-multivariate-time-series-2108.08404"/></url>
<url><loc>https://scifaro.com/en/abs/addressing-algorithmic-disparity-and-performance-inconsistency-in-federated-learning-2108.08435</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addressing-algorithmic-disparity-and-performance-inconsistency-in-federated-learning-2108.08435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addressing-algorithmic-disparity-and-performance-inconsistency-in-federated-learning-2108.08435"/></url>
<url><loc>https://scifaro.com/en/abs/improved-robustness-and-safety-for-pre-adaptation-of-meta-reinforcement-learning-with-prior-regularization-2108.08448</loc><lastmod>2023-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-robustness-and-safety-for-pre-adaptation-of-meta-reinforcement-learning-with-prior-regularization-2108.08448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-robustness-and-safety-for-pre-adaptation-of-meta-reinforcement-learning-with-prior-regularization-2108.08448"/></url>
<url><loc>https://scifaro.com/en/abs/improving-human-sequential-decision-making-with-reinforcement-learning-2108.08454</loc><lastmod>2024-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-human-sequential-decision-making-with-reinforcement-learning-2108.08454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-human-sequential-decision-making-with-reinforcement-learning-2108.08454"/></url>
<url><loc>https://scifaro.com/en/abs/blockchain-phishing-scam-detection-via-multi-channel-graph-classification-2108.08456</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blockchain-phishing-scam-detection-via-multi-channel-graph-classification-2108.08456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blockchain-phishing-scam-detection-via-multi-channel-graph-classification-2108.08456"/></url>
<url><loc>https://scifaro.com/en/abs/trends-in-neural-architecture-search-towards-the-acceleration-of-search-2108.08474</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trends-in-neural-architecture-search-towards-the-acceleration-of-search-2108.08474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trends-in-neural-architecture-search-towards-the-acceleration-of-search-2108.08474"/></url>
<url><loc>https://scifaro.com/en/abs/neural-operator-learning-maps-between-function-spaces-2108.08481</loc><lastmod>2024-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-operator-learning-maps-between-function-spaces-2108.08481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-operator-learning-maps-between-function-spaces-2108.08481"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-input-multi-output-transformer-based-hybrid-neural-network-for-multi-class-privacy-disclosure-detection-2108.08483</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-input-multi-output-transformer-based-hybrid-neural-network-for-multi-class-privacy-disclosure-detection-2108.08483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-input-multi-output-transformer-based-hybrid-neural-network-for-multi-class-privacy-disclosure-detection-2108.08483"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-design-optimization-framework-via-a-two-step-deep-learning-approach-application-to-a-wind-turbine-airfoil-2108.08500</loc><lastmod>2022-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-design-optimization-framework-via-a-two-step-deep-learning-approach-application-to-a-wind-turbine-airfoil-2108.08500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-design-optimization-framework-via-a-two-step-deep-learning-approach-application-to-a-wind-turbine-airfoil-2108.08500"/></url>
<url><loc>https://scifaro.com/en/abs/learning-system-parameters-from-turing-patterns-2108.08542</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-system-parameters-from-turing-patterns-2108.08542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-system-parameters-from-turing-patterns-2108.08542"/></url>
<url><loc>https://scifaro.com/en/abs/pruning-in-the-face-of-adversaries-2108.08560</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pruning-in-the-face-of-adversaries-2108.08560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pruning-in-the-face-of-adversaries-2108.08560"/></url>
<url><loc>https://scifaro.com/en/abs/towards-more-efficient-federated-learning-with-better-optimization-objects-2108.08577</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-more-efficient-federated-learning-with-better-optimization-objects-2108.08577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-more-efficient-federated-learning-with-better-optimization-objects-2108.08577"/></url>
<url><loc>https://scifaro.com/en/abs/fast-newton-method-solving-klr-based-on-multilevel-circulant-matrix-with-log-linear-complexity-2108.08605</loc><lastmod>2022-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-newton-method-solving-klr-based-on-multilevel-circulant-matrix-with-log-linear-complexity-2108.08605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-newton-method-solving-klr-based-on-multilevel-circulant-matrix-with-log-linear-complexity-2108.08605"/></url>
<url><loc>https://scifaro.com/en/abs/settling-the-variance-of-multi-agent-policy-gradients-2108.08612</loc><lastmod>2022-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/settling-the-variance-of-multi-agent-policy-gradients-2108.08612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/settling-the-variance-of-multi-agent-policy-gradients-2108.08612"/></url>
<url><loc>https://scifaro.com/en/abs/an-innovative-attack-modelling-and-attack-detection-approach-for-a-waiting-time-based-adaptive-traffic-signal-controller-2108.08627</loc><lastmod>2022-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-innovative-attack-modelling-and-attack-detection-approach-for-a-waiting-time-based-adaptive-traffic-signal-controller-2108.08627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-innovative-attack-modelling-and-attack-detection-approach-for-a-waiting-time-based-adaptive-traffic-signal-controller-2108.08627"/></url>
<url><loc>https://scifaro.com/en/abs/batch-curation-for-unsupervised-contrastive-representation-learning-2108.08643</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-curation-for-unsupervised-contrastive-representation-learning-2108.08643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-curation-for-unsupervised-contrastive-representation-learning-2108.08643"/></url>
<url><loc>https://scifaro.com/en/abs/multi-center-federated-learning-clients-clustering-for-better-personalization-2108.08647</loc><lastmod>2023-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-center-federated-learning-clients-clustering-for-better-personalization-2108.08647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-center-federated-learning-clients-clustering-for-better-personalization-2108.08647"/></url>
<url><loc>https://scifaro.com/en/abs/global-convergence-of-the-ode-limit-for-online-actor-critic-algorithms-in-reinforcement-learning-2108.08655</loc><lastmod>2023-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convergence-of-the-ode-limit-for-online-actor-critic-algorithms-in-reinforcement-learning-2108.08655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convergence-of-the-ode-limit-for-online-actor-critic-algorithms-in-reinforcement-learning-2108.08655"/></url>
<url><loc>https://scifaro.com/en/abs/residual-tensor-train-a-quantum-inspired-approach-for-learning-multiple-multilinear-correlations-2108.08659</loc><lastmod>2022-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-tensor-train-a-quantum-inspired-approach-for-learning-multiple-multilinear-correlations-2108.08659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-tensor-train-a-quantum-inspired-approach-for-learning-multiple-multilinear-correlations-2108.08659"/></url>
<url><loc>https://scifaro.com/en/abs/order-optimal-bounds-for-one-shot-federated-learning-over-non-convex-loss-functions-2108.08677</loc><lastmod>2024-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/order-optimal-bounds-for-one-shot-federated-learning-over-non-convex-loss-functions-2108.08677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/order-optimal-bounds-for-one-shot-federated-learning-over-non-convex-loss-functions-2108.08677"/></url>
<url><loc>https://scifaro.com/en/abs/analyze-and-design-network-architectures-by-recursion-formulas-2108.08689</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyze-and-design-network-architectures-by-recursion-formulas-2108.08689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyze-and-design-network-architectures-by-recursion-formulas-2108.08689"/></url>
<url><loc>https://scifaro.com/en/abs/it2cfnn-an-interval-type-2-correlation-aware-fuzzy-neural-network-to-construct-non-separable-fuzzy-rules-with-uncertain-and-adaptive-shapes-for-nonlinear-function-approximation-2108.08704</loc><lastmod>2021-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/it2cfnn-an-interval-type-2-correlation-aware-fuzzy-neural-network-to-construct-non-separable-fuzzy-rules-with-uncertain-and-adaptive-shapes-for-nonlinear-function-approximation-2108.08704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/it2cfnn-an-interval-type-2-correlation-aware-fuzzy-neural-network-to-construct-non-separable-fuzzy-rules-with-uncertain-and-adaptive-shapes-for-nonlinear-function-approximation-2108.08704"/></url>
<url><loc>https://scifaro.com/en/abs/attribute-based-explanations-of-non-linear-embeddings-of-high-dimensional-data-2108.08706</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attribute-based-explanations-of-non-linear-embeddings-of-high-dimensional-data-2108.08706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attribute-based-explanations-of-non-linear-embeddings-of-high-dimensional-data-2108.08706"/></url>
<url><loc>https://scifaro.com/en/abs/neural-density-estimation-and-uncertainty-quantification-for-laser-induced-breakdown-spectroscopy-spectra-2108.08709</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-density-estimation-and-uncertainty-quantification-for-laser-induced-breakdown-spectroscopy-spectra-2108.08709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-density-estimation-and-uncertainty-quantification-for-laser-induced-breakdown-spectroscopy-spectra-2108.08709"/></url>
<url><loc>https://scifaro.com/en/abs/teaching-uncertainty-quantification-in-machine-learning-through-use-cases-2108.08712</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/teaching-uncertainty-quantification-in-machine-learning-through-use-cases-2108.08712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/teaching-uncertainty-quantification-in-machine-learning-through-use-cases-2108.08712"/></url>
<url><loc>https://scifaro.com/en/abs/improving-semi-supervised-learning-for-remaining-useful-lifetime-estimation-through-self-supervision-2108.08721</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-semi-supervised-learning-for-remaining-useful-lifetime-estimation-through-self-supervision-2108.08721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-semi-supervised-learning-for-remaining-useful-lifetime-estimation-through-self-supervision-2108.08721"/></url>
<url><loc>https://scifaro.com/en/abs/feature-weighted-stacking-for-nonseasonal-time-series-forecasts-a-case-study-of-the-covid-19-epidemic-curves-2108.08723</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-weighted-stacking-for-nonseasonal-time-series-forecasts-a-case-study-of-the-covid-19-epidemic-curves-2108.08723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-weighted-stacking-for-nonseasonal-time-series-forecasts-a-case-study-of-the-covid-19-epidemic-curves-2108.08723"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-graph-network-embedding-with-causal-anonymous-walks-representations-2108.08754</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-graph-network-embedding-with-causal-anonymous-walks-representations-2108.08754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-graph-network-embedding-with-causal-anonymous-walks-representations-2108.08754"/></url>
<url><loc>https://scifaro.com/en/abs/robust-outlier-detection-by-de-biasing-vae-likelihoods-2108.08760</loc><lastmod>2022-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-outlier-detection-by-de-biasing-vae-likelihoods-2108.08760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-outlier-detection-by-de-biasing-vae-likelihoods-2108.08760"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-generative-adversarial-imitation-learning-for-online-and-offline-setting-with-linear-function-approximation-2108.08765</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-generative-adversarial-imitation-learning-for-online-and-offline-setting-with-linear-function-approximation-2108.08765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-generative-adversarial-imitation-learning-for-online-and-offline-setting-with-linear-function-approximation-2108.08765"/></url>
<url><loc>https://scifaro.com/en/abs/learning-general-halfspaces-with-general-massart-noise-under-the-gaussian-distribution-2108.08767</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-general-halfspaces-with-general-massart-noise-under-the-gaussian-distribution-2108.08767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-general-halfspaces-with-general-massart-noise-under-the-gaussian-distribution-2108.08767"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-learn-non-convex-piecewise-lipschitz-functions-2108.08770</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-learn-non-convex-piecewise-lipschitz-functions-2108.08770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-learn-non-convex-piecewise-lipschitz-functions-2108.08770"/></url>
<url><loc>https://scifaro.com/en/abs/optimally-efficient-sequential-calibration-of-binary-classifiers-to-minimize-classification-error-2108.08780</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimally-efficient-sequential-calibration-of-binary-classifiers-to-minimize-classification-error-2108.08780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimally-efficient-sequential-calibration-of-binary-classifiers-to-minimize-classification-error-2108.08780"/></url>
<url><loc>https://scifaro.com/en/abs/simple-is-better-making-decision-trees-faster-using-random-sampling-2108.08790</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-is-better-making-decision-trees-faster-using-random-sampling-2108.08790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-is-better-making-decision-trees-faster-using-random-sampling-2108.08790"/></url>
<url><loc>https://scifaro.com/en/abs/eqgnn-equalized-node-opportunity-in-graphs-2108.08800</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eqgnn-equalized-node-opportunity-in-graphs-2108.08800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eqgnn-equalized-node-opportunity-in-graphs-2108.08800"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-assisted-strategies-the-parameterisation-of-an-infectious-disease-agent-based-model-2108.08809</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-assisted-strategies-the-parameterisation-of-an-infectious-disease-agent-based-model-2108.08809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-assisted-strategies-the-parameterisation-of-an-infectious-disease-agent-based-model-2108.08809"/></url>
<url><loc>https://scifaro.com/en/abs/provable-benefits-of-actor-critic-methods-for-offline-reinforcement-learning-2108.08812</loc><lastmod>2021-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-benefits-of-actor-critic-methods-for-offline-reinforcement-learning-2108.08812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-benefits-of-actor-critic-methods-for-offline-reinforcement-learning-2108.08812"/></url>
<url><loc>https://scifaro.com/en/abs/eden-communication-efficient-and-robust-distributed-mean-estimation-for-federated-learning-2108.08842</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eden-communication-efficient-and-robust-distributed-mean-estimation-for-federated-learning-2108.08842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eden-communication-efficient-and-robust-distributed-mean-estimation-for-federated-learning-2108.08842"/></url>
<url><loc>https://scifaro.com/en/abs/learning-equilibria-in-matching-markets-from-bandit-feedback-2108.08843</loc><lastmod>2023-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-equilibria-in-matching-markets-from-bandit-feedback-2108.08843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-equilibria-in-matching-markets-from-bandit-feedback-2108.08843"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-next-best-action-recommendation-with-multi-party-interaction-learning-for-automated-decision-making-2108.08846</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-next-best-action-recommendation-with-multi-party-interaction-learning-for-automated-decision-making-2108.08846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-next-best-action-recommendation-with-multi-party-interaction-learning-for-automated-decision-making-2108.08846"/></url>
<url><loc>https://scifaro.com/en/abs/mofit-a-framework-to-reduce-obesity-using-machine-learning-and-iot-2108.08868</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mofit-a-framework-to-reduce-obesity-using-machine-learning-and-iot-2108.08868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mofit-a-framework-to-reduce-obesity-using-machine-learning-and-iot-2108.08868"/></url>
<url><loc>https://scifaro.com/en/abs/topo2vec-topography-embedding-using-the-fractal-effect-2108.08870</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topo2vec-topography-embedding-using-the-fractal-effect-2108.08870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topo2vec-topography-embedding-using-the-fractal-effect-2108.08870"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-concepts-of-quantum-and-classical-neural-network-models-for-image-classification-task-2108.08875</loc><lastmod>2025-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-concepts-of-quantum-and-classical-neural-network-models-for-image-classification-task-2108.08875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-concepts-of-quantum-and-classical-neural-network-models-for-image-classification-task-2108.08875"/></url>
<url><loc>https://scifaro.com/en/abs/risk-bounds-and-calibration-for-a-smart-predict-then-optimize-method-2108.08887</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-bounds-and-calibration-for-a-smart-predict-then-optimize-method-2108.08887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-bounds-and-calibration-for-a-smart-predict-then-optimize-method-2108.08887"/></url>
<url><loc>https://scifaro.com/en/abs/siam-chiplet-based-scalable-in-memory-acceleration-with-mesh-for-deep-neural-networks-2108.08903</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/siam-chiplet-based-scalable-in-memory-acceleration-with-mesh-for-deep-neural-networks-2108.08903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/siam-chiplet-based-scalable-in-memory-acceleration-with-mesh-for-deep-neural-networks-2108.08903"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-learning-to-operationalize-a-domain-agnostic-data-quality-scoring-2108.08905</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-learning-to-operationalize-a-domain-agnostic-data-quality-scoring-2108.08905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-learning-to-operationalize-a-domain-agnostic-data-quality-scoring-2108.08905"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-deep-reinforcement-learning-using-introspection-in-a-non-episodic-task-2108.08911</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-deep-reinforcement-learning-using-introspection-in-a-non-episodic-task-2108.08911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-deep-reinforcement-learning-using-introspection-in-a-non-episodic-task-2108.08911"/></url>
<url><loc>https://scifaro.com/en/abs/detection-of-illicit-drug-trafficking-events-on-instagram-a-deep-multimodal-multilabel-learning-approach-2108.08920</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-of-illicit-drug-trafficking-events-on-instagram-a-deep-multimodal-multilabel-learning-approach-2108.08920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-of-illicit-drug-trafficking-events-on-instagram-a-deep-multimodal-multilabel-learning-approach-2108.08920"/></url>
<url><loc>https://scifaro.com/en/abs/cross-silo-federated-learning-for-multi-tier-networks-with-vertical-and-horizontal-data-partitioning-2108.08930</loc><lastmod>2024-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-silo-federated-learning-for-multi-tier-networks-with-vertical-and-horizontal-data-partitioning-2108.08930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-silo-federated-learning-for-multi-tier-networks-with-vertical-and-horizontal-data-partitioning-2108.08930"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-greenhouse-gas-emissions-through-generative-adversarial-networks-based-wildfire-prediction-2108.08952</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-greenhouse-gas-emissions-through-generative-adversarial-networks-based-wildfire-prediction-2108.08952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-greenhouse-gas-emissions-through-generative-adversarial-networks-based-wildfire-prediction-2108.08952"/></url>
<url><loc>https://scifaro.com/en/abs/plug-and-play-model-based-reinforcement-learning-2108.08960</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plug-and-play-model-based-reinforcement-learning-2108.08960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plug-and-play-model-based-reinforcement-learning-2108.08960"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-adversarial-examples-to-physical-ecg-signals-2108.08972</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-adversarial-examples-to-physical-ecg-signals-2108.08972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-adversarial-examples-to-physical-ecg-signals-2108.08972"/></url>
<url><loc>https://scifaro.com/en/abs/asat-adaptively-scaled-adversarial-training-in-time-series-2108.08976</loc><lastmod>2022-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asat-adaptively-scaled-adversarial-training-in-time-series-2108.08976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asat-adaptively-scaled-adversarial-training-in-time-series-2108.08976"/></url>
<url><loc>https://scifaro.com/en/abs/deep-sequence-modeling-development-and-applications-in-asset-pricing-2108.08999</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-sequence-modeling-development-and-applications-in-asset-pricing-2108.08999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-sequence-modeling-development-and-applications-in-asset-pricing-2108.08999"/></url>
<url><loc>https://scifaro.com/en/abs/online-continual-learning-with-natural-distribution-shifts-an-empirical-study-with-visual-data-2108.09020</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-continual-learning-with-natural-distribution-shifts-an-empirical-study-with-visual-data-2108.09020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-continual-learning-with-natural-distribution-shifts-an-empirical-study-with-visual-data-2108.09020"/></url>
<url><loc>https://scifaro.com/en/abs/federated-distributionally-robust-optimization-for-phase-configuration-of-riss-2108.09026</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-distributionally-robust-optimization-for-phase-configuration-of-riss-2108.09026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-distributionally-robust-optimization-for-phase-configuration-of-riss-2108.09026"/></url>
<url><loc>https://scifaro.com/en/abs/pasto-strategic-parameter-optimization-in-recommendation-systems-probabilistic-is-better-than-deterministic-2108.09076</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pasto-strategic-parameter-optimization-in-recommendation-systems-probabilistic-is-better-than-deterministic-2108.09076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pasto-strategic-parameter-optimization-in-recommendation-systems-probabilistic-is-better-than-deterministic-2108.09076"/></url>
<url><loc>https://scifaro.com/en/abs/fedskel-efficient-federated-learning-on-heterogeneous-systems-with-skeleton-gradients-update-2108.09081</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedskel-efficient-federated-learning-on-heterogeneous-systems-with-skeleton-gradients-update-2108.09081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedskel-efficient-federated-learning-on-heterogeneous-systems-with-skeleton-gradients-update-2108.09081"/></url>
<url><loc>https://scifaro.com/en/abs/dl-traff-survey-and-benchmark-of-deep-learning-models-for-urban-traffic-prediction-2108.09091</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dl-traff-survey-and-benchmark-of-deep-learning-models-for-urban-traffic-prediction-2108.09091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dl-traff-survey-and-benchmark-of-deep-learning-models-for-urban-traffic-prediction-2108.09091"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-the-generative-capability-of-adversarially-robust-classifiers-2108.09093</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-the-generative-capability-of-adversarially-robust-classifiers-2108.09093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-the-generative-capability-of-adversarially-robust-classifiers-2108.09093"/></url>
<url><loc>https://scifaro.com/en/abs/a-fuzzy-rough-uncertainty-measure-to-discover-bias-encoded-explicitly-or-implicitly-in-features-of-structured-pattern-classification-datasets-2108.09098</loc><lastmod>2022-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fuzzy-rough-uncertainty-measure-to-discover-bias-encoded-explicitly-or-implicitly-in-features-of-structured-pattern-classification-datasets-2108.09098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fuzzy-rough-uncertainty-measure-to-discover-bias-encoded-explicitly-or-implicitly-in-features-of-structured-pattern-classification-datasets-2108.09098"/></url>
<url><loc>https://scifaro.com/en/abs/mobility-aware-cluster-federated-learning-in-hierarchical-wireless-networks-2108.09103</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mobility-aware-cluster-federated-learning-in-hierarchical-wireless-networks-2108.09103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mobility-aware-cluster-federated-learning-in-hierarchical-wireless-networks-2108.09103"/></url>
<url><loc>https://scifaro.com/en/abs/lessons-from-the-clustering-analysis-of-a-search-space-a-centroid-based-approach-to-initializing-nas-2108.09126</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lessons-from-the-clustering-analysis-of-a-search-space-a-centroid-based-approach-to-initializing-nas-2108.09126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lessons-from-the-clustering-analysis-of-a-search-space-a-centroid-based-approach-to-initializing-nas-2108.09126"/></url>
<url><loc>https://scifaro.com/en/abs/tabgnn-multiplex-graph-neural-network-for-tabular-data-prediction-2108.09127</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tabgnn-multiplex-graph-neural-network-for-tabular-data-prediction-2108.09127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tabgnn-multiplex-graph-neural-network-for-tabular-data-prediction-2108.09127"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-network-embedding-with-differentiable-deep-quantisation-2108.09128</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-network-embedding-with-differentiable-deep-quantisation-2108.09128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-network-embedding-with-differentiable-deep-quantisation-2108.09128"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-recursive-ensemble-learning-for-multi-day-covid-19-prediction-in-india-using-recurrent-neural-networks-2108.09131</loc><lastmod>2023-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-recursive-ensemble-learning-for-multi-day-covid-19-prediction-in-india-using-recurrent-neural-networks-2108.09131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-recursive-ensemble-learning-for-multi-day-covid-19-prediction-in-india-using-recurrent-neural-networks-2108.09131"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-convex-polytopes-for-automatic-discovery-of-charge-state-transitions-in-quantum-dot-arrays-2108.09133</loc><lastmod>2022-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-convex-polytopes-for-automatic-discovery-of-charge-state-transitions-in-quantum-dot-arrays-2108.09133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-convex-polytopes-for-automatic-discovery-of-charge-state-transitions-in-quantum-dot-arrays-2108.09133"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-federated-learning-with-a-global-biased-optimiser-2108.09134</loc><lastmod>2022-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-federated-learning-with-a-global-biased-optimiser-2108.09134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-federated-learning-with-a-global-biased-optimiser-2108.09134"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-domain-adaptive-hash-for-networks-2108.09136</loc><lastmod>2022-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-domain-adaptive-hash-for-networks-2108.09136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-domain-adaptive-hash-for-networks-2108.09136"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-representations-for-label-noise-require-fine-tuning-2108.09154</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-representations-for-label-noise-require-fine-tuning-2108.09154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-representations-for-label-noise-require-fine-tuning-2108.09154"/></url>
<url><loc>https://scifaro.com/en/abs/user-localization-based-on-call-detail-records-2108.09157</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/user-localization-based-on-call-detail-records-2108.09157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/user-localization-based-on-call-detail-records-2108.09157"/></url>
<url><loc>https://scifaro.com/en/abs/vae-ce-visual-contrastive-explanation-using-disentangled-vaes-2108.09159</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vae-ce-visual-contrastive-explanation-using-disentangled-vaes-2108.09159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vae-ce-visual-contrastive-explanation-using-disentangled-vaes-2108.09159"/></url>
<url><loc>https://scifaro.com/en/abs/parsing-birdsong-with-deep-audio-embeddings-2108.09203</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parsing-birdsong-with-deep-audio-embeddings-2108.09203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parsing-birdsong-with-deep-audio-embeddings-2108.09203"/></url>
<url><loc>https://scifaro.com/en/abs/practical-and-fast-momentum-based-power-methods-2108.09264</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-and-fast-momentum-based-power-methods-2108.09264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-and-fast-momentum-based-power-methods-2108.09264"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-online-estimation-of-causal-effects-by-deciding-what-to-observe-2108.09265</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-online-estimation-of-causal-effects-by-deciding-what-to-observe-2108.09265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-online-estimation-of-causal-effects-by-deciding-what-to-observe-2108.09265"/></url>
<url><loc>https://scifaro.com/en/abs/network-wide-link-travel-time-and-station-waiting-time-estimation-using-automatic-fare-collection-data-a-computational-graph-approach-2108.09292</loc><lastmod>2021-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-wide-link-travel-time-and-station-waiting-time-estimation-using-automatic-fare-collection-data-a-computational-graph-approach-2108.09292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-wide-link-travel-time-and-station-waiting-time-estimation-using-automatic-fare-collection-data-a-computational-graph-approach-2108.09292"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-smart-ponzi-scheme-detection-2108.09305</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-smart-ponzi-scheme-detection-2108.09305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-smart-ponzi-scheme-detection-2108.09305"/></url>
<url><loc>https://scifaro.com/en/abs/d-darts-distributed-differentiable-architecture-search-2108.09306</loc><lastmod>2022-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/d-darts-distributed-differentiable-architecture-search-2108.09306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/d-darts-distributed-differentiable-architecture-search-2108.09306"/></url>
<url><loc>https://scifaro.com/en/abs/influence-selection-for-active-learning-2108.09331</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/influence-selection-for-active-learning-2108.09331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/influence-selection-for-active-learning-2108.09331"/></url>
<url><loc>https://scifaro.com/en/abs/cascade-watchdog-a-multi-tiered-adversarial-guard-for-outlier-detection-2108.09375</loc><lastmod>2023-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cascade-watchdog-a-multi-tiered-adversarial-guard-for-outlier-detection-2108.09375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cascade-watchdog-a-multi-tiered-adversarial-guard-for-outlier-detection-2108.09375"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-task-learning-framework-for-covid-19-monitoring-and-prediction-of-ppe-demand-in-community-health-centres-2108.09402</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-task-learning-framework-for-covid-19-monitoring-and-prediction-of-ppe-demand-in-community-health-centres-2108.09402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-task-learning-framework-for-covid-19-monitoring-and-prediction-of-ppe-demand-in-community-health-centres-2108.09402"/></url>
<url><loc>https://scifaro.com/en/abs/semifed-semi-supervised-federated-learning-with-consistency-and-pseudo-labeling-2108.09412</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semifed-semi-supervised-federated-learning-with-consistency-and-pseudo-labeling-2108.09412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semifed-semi-supervised-federated-learning-with-consistency-and-pseudo-labeling-2108.09412"/></url>
<url><loc>https://scifaro.com/en/abs/integer-arithmetic-only-certified-robustness-for-quantized-neural-networks-2108.09413</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integer-arithmetic-only-certified-robustness-for-quantized-neural-networks-2108.09413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integer-arithmetic-only-certified-robustness-for-quantized-neural-networks-2108.09413"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-unsupervised-learning-with-enhanced-feature-representation-for-intra-tumor-partitioning-and-survival-prediction-for-glioblastoma-2108.09423</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-unsupervised-learning-with-enhanced-feature-representation-for-intra-tumor-partitioning-and-survival-prediction-for-glioblastoma-2108.09423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-unsupervised-learning-with-enhanced-feature-representation-for-intra-tumor-partitioning-and-survival-prediction-for-glioblastoma-2108.09423"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-aware-online-meta-learning-2108.09435</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-aware-online-meta-learning-2108.09435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-aware-online-meta-learning-2108.09435"/></url>
<url><loc>https://scifaro.com/en/abs/reservoir-computing-with-diverse-timescales-for-prediction-of-multiscale-dynamics-2108.09446</loc><lastmod>2022-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reservoir-computing-with-diverse-timescales-for-prediction-of-multiscale-dynamics-2108.09446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reservoir-computing-with-diverse-timescales-for-prediction-of-multiscale-dynamics-2108.09446"/></url>
<url><loc>https://scifaro.com/en/abs/a-stochastic-variance-reduced-coordinate-descent-algorithm-for-learning-sparse-bayesian-network-from-discrete-high-dimensional-data-2108.09501</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-stochastic-variance-reduced-coordinate-descent-algorithm-for-learning-sparse-bayesian-network-from-discrete-high-dimensional-data-2108.09501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-stochastic-variance-reduced-coordinate-descent-algorithm-for-learning-sparse-bayesian-network-from-discrete-high-dimensional-data-2108.09501"/></url>
<url><loc>https://scifaro.com/en/abs/deep-representation-of-imbalanced-spatio-temporal-traffic-flow-data-for-traffic-accident-detection-2108.09506</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-representation-of-imbalanced-spatio-temporal-traffic-flow-data-for-traffic-accident-detection-2108.09506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-representation-of-imbalanced-spatio-temporal-traffic-flow-data-for-traffic-accident-detection-2108.09506"/></url>
<url><loc>https://scifaro.com/en/abs/a-hard-label-black-box-adversarial-attack-against-graph-neural-networks-2108.09513</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hard-label-black-box-adversarial-attack-against-graph-neural-networks-2108.09513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hard-label-black-box-adversarial-attack-against-graph-neural-networks-2108.09513"/></url>
<url><loc>https://scifaro.com/en/abs/automating-crystal-structure-phase-mapping-combining-deep-learning-with-constraint-reasoning-2108.09523</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automating-crystal-structure-phase-mapping-combining-deep-learning-with-constraint-reasoning-2108.09523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automating-crystal-structure-phase-mapping-combining-deep-learning-with-constraint-reasoning-2108.09523"/></url>
<url><loc>https://scifaro.com/en/abs/rotation-equivariant-operators-for-machine-learning-on-scalar-and-vector-fields-2108.09541</loc><lastmod>2022-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rotation-equivariant-operators-for-machine-learning-on-scalar-and-vector-fields-2108.09541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rotation-equivariant-operators-for-machine-learning-on-scalar-and-vector-fields-2108.09541"/></url>
<url><loc>https://scifaro.com/en/abs/joint-characterization-of-spatiotemporal-data-manifolds-2108.09545</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-characterization-of-spatiotemporal-data-manifolds-2108.09545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-characterization-of-spatiotemporal-data-manifolds-2108.09545"/></url>
<url><loc>https://scifaro.com/en/abs/principal-gradient-direction-and-confidence-reservoir-sampling-for-continual-learning-2108.09592</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principal-gradient-direction-and-confidence-reservoir-sampling-for-continual-learning-2108.09592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principal-gradient-direction-and-confidence-reservoir-sampling-for-continual-learning-2108.09592"/></url>
<url><loc>https://scifaro.com/en/abs/serf-towards-better-training-of-deep-neural-networks-using-log-softplus-error-activation-function-2108.09598</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/serf-towards-better-training-of-deep-neural-networks-using-log-softplus-error-activation-function-2108.09598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/serf-towards-better-training-of-deep-neural-networks-using-log-softplus-error-activation-function-2108.09598"/></url>
<url><loc>https://scifaro.com/en/abs/personalised-federated-learning-a-combinational-approach-2108.09618</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalised-federated-learning-a-combinational-approach-2108.09618"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalised-federated-learning-a-combinational-approach-2108.09618"/></url>
<url><loc>https://scifaro.com/en/abs/the-exploitation-of-distance-distributions-for-clustering-2108.09649</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-exploitation-of-distance-distributions-for-clustering-2108.09649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-exploitation-of-distance-distributions-for-clustering-2108.09649"/></url>
<url><loc>https://scifaro.com/en/abs/examgan-and-twin-examgan-for-exam-script-generation-2108.09656</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/examgan-and-twin-examgan-for-exam-script-generation-2108.09656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/examgan-and-twin-examgan-for-exam-script-generation-2108.09656"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-gaussian-neural-processes-for-regression-2108.09676</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-gaussian-neural-processes-for-regression-2108.09676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-gaussian-neural-processes-for-regression-2108.09676"/></url>
<url><loc>https://scifaro.com/en/abs/rainfall-runoff-prediction-using-a-gustafson-kessel-clustering-based-takagi-sugeno-fuzzy-model-2108.09684</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rainfall-runoff-prediction-using-a-gustafson-kessel-clustering-based-takagi-sugeno-fuzzy-model-2108.09684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rainfall-runoff-prediction-using-a-gustafson-kessel-clustering-based-takagi-sugeno-fuzzy-model-2108.09684"/></url>
<url><loc>https://scifaro.com/en/abs/a-universally-consistent-learning-rule-with-a-universally-monotone-error-2108.09733</loc><lastmod>2023-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-universally-consistent-learning-rule-with-a-universally-monotone-error-2108.09733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-universally-consistent-learning-rule-with-a-universally-monotone-error-2108.09733"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-clustered-federated-learning-for-client-level-data-distribution-shift-2108.09749</loc><lastmod>2024-04-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-clustered-federated-learning-for-client-level-data-distribution-shift-2108.09749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-clustered-federated-learning-for-client-level-data-distribution-shift-2108.09749"/></url>
<url><loc>https://scifaro.com/en/abs/a-boosting-approach-to-reinforcement-learning-2108.09767</loc><lastmod>2023-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-boosting-approach-to-reinforcement-learning-2108.09767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-boosting-approach-to-reinforcement-learning-2108.09767"/></url>
<url><loc>https://scifaro.com/en/abs/wind-power-projection-using-weather-forecasts-by-novel-deep-neural-networks-2108.09797</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wind-power-projection-using-weather-forecasts-by-novel-deep-neural-networks-2108.09797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wind-power-projection-using-weather-forecasts-by-novel-deep-neural-networks-2108.09797"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-algorithms-for-learning-from-coarse-labels-2108.09805</loc><lastmod>2023-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-algorithms-for-learning-from-coarse-labels-2108.09805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-algorithms-for-learning-from-coarse-labels-2108.09805"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-network-embedding-via-tensor-factorization-2108.09837</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-network-embedding-via-tensor-factorization-2108.09837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-network-embedding-via-tensor-factorization-2108.09837"/></url>
<url><loc>https://scifaro.com/en/abs/convex-latent-effect-logit-model-via-sparse-and-low-rank-decomposition-2108.09859</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convex-latent-effect-logit-model-via-sparse-and-low-rank-decomposition-2108.09859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convex-latent-effect-logit-model-via-sparse-and-low-rank-decomposition-2108.09859"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-machine-learning-using-real-synthetic-and-augmented-fire-tests-to-predict-fire-resistance-and-spalling-of-rc-columns-2108.09862</loc><lastmod>2022-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-machine-learning-using-real-synthetic-and-augmented-fire-tests-to-predict-fire-resistance-and-spalling-of-rc-columns-2108.09862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-machine-learning-using-real-synthetic-and-augmented-fire-tests-to-predict-fire-resistance-and-spalling-of-rc-columns-2108.09862"/></url>
<url><loc>https://scifaro.com/en/abs/anarchic-federated-learning-2108.09875</loc><lastmod>2022-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anarchic-federated-learning-2108.09875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anarchic-federated-learning-2108.09875"/></url>
<url><loc>https://scifaro.com/en/abs/dtwsse-data-augmentation-with-a-siamese-encoder-for-time-series-2108.09885</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dtwsse-data-augmentation-with-a-siamese-encoder-for-time-series-2108.09885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dtwsse-data-augmentation-with-a-siamese-encoder-for-time-series-2108.09885"/></url>
<url><loc>https://scifaro.com/en/abs/generative-and-contrastive-self-supervised-learning-for-graph-anomaly-detection-2108.09896</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-and-contrastive-self-supervised-learning-for-graph-anomaly-detection-2108.09896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-and-contrastive-self-supervised-learning-for-graph-anomaly-detection-2108.09896"/></url>
<url><loc>https://scifaro.com/en/abs/genetic-programming-for-manifold-learning-preserving-local-topology-2108.09914</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/genetic-programming-for-manifold-learning-preserving-local-topology-2108.09914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/genetic-programming-for-manifold-learning-preserving-local-topology-2108.09914"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-filtering-and-neural-networks-with-non-commutative-algebras-2108.09923</loc><lastmod>2023-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-filtering-and-neural-networks-with-non-commutative-algebras-2108.09923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-filtering-and-neural-networks-with-non-commutative-algebras-2108.09923"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-meets-fairness-and-differential-privacy-2108.09932</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-meets-fairness-and-differential-privacy-2108.09932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-meets-fairness-and-differential-privacy-2108.09932"/></url>
<url><loc>https://scifaro.com/en/abs/revealing-the-distributional-vulnerability-of-discriminators-by-implicit-generators-2108.09976</loc><lastmod>2023-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revealing-the-distributional-vulnerability-of-discriminators-by-implicit-generators-2108.09976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revealing-the-distributional-vulnerability-of-discriminators-by-implicit-generators-2108.09976"/></url>
<url><loc>https://scifaro.com/en/abs/relative-entropy-regularized-optimal-transport-on-a-graph-a-new-algorithm-and-an-experimental-comparison-2108.10004</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-entropy-regularized-optimal-transport-on-a-graph-a-new-algorithm-and-an-experimental-comparison-2108.10004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-entropy-regularized-optimal-transport-on-a-graph-a-new-algorithm-and-an-experimental-comparison-2108.10004"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-lstms-and-gnns-for-covid-19-forecasting-2108.10052</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-lstms-and-gnns-for-covid-19-forecasting-2108.10052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-lstms-and-gnns-for-covid-19-forecasting-2108.10052"/></url>
<url><loc>https://scifaro.com/en/abs/remote-sensing-and-machine-learning-for-food-crop-production-data-in-africa-post-covid-19-2108.10054</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/remote-sensing-and-machine-learning-for-food-crop-production-data-in-africa-post-covid-19-2108.10054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/remote-sensing-and-machine-learning-for-food-crop-production-data-in-africa-post-covid-19-2108.10054"/></url>
<url><loc>https://scifaro.com/en/abs/an-extensible-and-modular-design-and-implementation-of-monte-carlo-tree-search-for-the-jvm-2108.10061</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-extensible-and-modular-design-and-implementation-of-monte-carlo-tree-search-for-the-jvm-2108.10061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-extensible-and-modular-design-and-implementation-of-monte-carlo-tree-search-for-the-jvm-2108.10061"/></url>
<url><loc>https://scifaro.com/en/abs/effective-and-privacy-preserving-tabular-data-synthesizing-2108.10064</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-and-privacy-preserving-tabular-data-synthesizing-2108.10064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-and-privacy-preserving-tabular-data-synthesizing-2108.10064"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-neural-network-architectural-and-topological-adaptation-and-related-methods-a-survey-2108.10066</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-neural-network-architectural-and-topological-adaptation-and-related-methods-a-survey-2108.10066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-neural-network-architectural-and-topological-adaptation-and-related-methods-a-survey-2108.10066"/></url>
<url><loc>https://scifaro.com/en/abs/an-interpretable-approach-to-hateful-meme-detection-2108.10069</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-interpretable-approach-to-hateful-meme-detection-2108.10069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-interpretable-approach-to-hateful-meme-detection-2108.10069"/></url>
<url><loc>https://scifaro.com/en/abs/graph-attention-mlp-with-reliable-label-utilization-2108.10097</loc><lastmod>2022-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-attention-mlp-with-reliable-label-utilization-2108.10097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-attention-mlp-with-reliable-label-utilization-2108.10097"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-acceleration-of-deep-neural-network-inference-using-quantized-compressed-sensing-2108.10101</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-acceleration-of-deep-neural-network-inference-using-quantized-compressed-sensing-2108.10101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-acceleration-of-deep-neural-network-inference-using-quantized-compressed-sensing-2108.10101"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-transductive-and-inductive-embeddings-improves-link-prediction-accuracy-2108.10108</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-transductive-and-inductive-embeddings-improves-link-prediction-accuracy-2108.10108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-transductive-and-inductive-embeddings-improves-link-prediction-accuracy-2108.10108"/></url>
<url><loc>https://scifaro.com/en/abs/effective-streaming-low-tubal-rank-tensor-approximation-via-frequent-directions-2108.10129</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-streaming-low-tubal-rank-tensor-approximation-via-frequent-directions-2108.10129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-streaming-low-tubal-rank-tensor-approximation-via-frequent-directions-2108.10129"/></url>
<url><loc>https://scifaro.com/en/abs/trapdoor-repurposing-backdoors-to-detect-dataset-bias-in-machine-learning-based-genomic-analysis-2108.10132</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trapdoor-repurposing-backdoors-to-detect-dataset-bias-in-machine-learning-based-genomic-analysis-2108.10132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trapdoor-repurposing-backdoors-to-detect-dataset-bias-in-machine-learning-based-genomic-analysis-2108.10132"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-split-learning-for-privacy-preserving-medical-platforms-case-studies-with-covid-19-ct-x-ray-and-cholesterol-data-2108.10147</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-split-learning-for-privacy-preserving-medical-platforms-case-studies-with-covid-19-ct-x-ray-and-cholesterol-data-2108.10147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-split-learning-for-privacy-preserving-medical-platforms-case-studies-with-covid-19-ct-x-ray-and-cholesterol-data-2108.10147"/></url>
<url><loc>https://scifaro.com/en/abs/construction-cost-index-forecasting-a-multi-feature-fusion-approach-2108.10155</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/construction-cost-index-forecasting-a-multi-feature-fusion-approach-2108.10155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/construction-cost-index-forecasting-a-multi-feature-fusion-approach-2108.10155"/></url>
<url><loc>https://scifaro.com/en/abs/back-to-the-drawing-board-a-critical-evaluation-of-poisoning-attacks-on-production-federated-learning-2108.10241</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/back-to-the-drawing-board-a-critical-evaluation-of-poisoning-attacks-on-production-federated-learning-2108.10241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/back-to-the-drawing-board-a-critical-evaluation-of-poisoning-attacks-on-production-federated-learning-2108.10241"/></url>
<url><loc>https://scifaro.com/en/abs/influence-guided-data-augmentation-for-neural-tensor-completion-2108.10248</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/influence-guided-data-augmentation-for-neural-tensor-completion-2108.10248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/influence-guided-data-augmentation-for-neural-tensor-completion-2108.10248"/></url>
<url><loc>https://scifaro.com/en/abs/federated-multi-task-learning-under-a-mixture-of-distributions-2108.10252</loc><lastmod>2022-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-multi-task-learning-under-a-mixture-of-distributions-2108.10252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-multi-task-learning-under-a-mixture-of-distributions-2108.10252"/></url>
<url><loc>https://scifaro.com/en/abs/cube-sampled-k-prototype-clustering-for-featured-data-2108.10262</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cube-sampled-k-prototype-clustering-for-featured-data-2108.10262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cube-sampled-k-prototype-clustering-for-featured-data-2108.10262"/></url>
<url><loc>https://scifaro.com/en/abs/molecular-design-based-on-artificial-neural-networks-integer-programming-and-grid-neighbor-search-2108.10266</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molecular-design-based-on-artificial-neural-networks-integer-programming-and-grid-neighbor-search-2108.10266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molecular-design-based-on-artificial-neural-networks-integer-programming-and-grid-neighbor-search-2108.10266"/></url>
<url><loc>https://scifaro.com/en/abs/collect-infer-a-fresh-look-at-data-efficient-reinforcement-learning-2108.10273</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collect-infer-a-fresh-look-at-data-efficient-reinforcement-learning-2108.10273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collect-infer-a-fresh-look-at-data-efficient-reinforcement-learning-2108.10273"/></url>
<url><loc>https://scifaro.com/en/abs/exclusive-group-lasso-for-structured-variable-selection-2108.10284</loc><lastmod>2023-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exclusive-group-lasso-for-structured-variable-selection-2108.10284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exclusive-group-lasso-for-structured-variable-selection-2108.10284"/></url>
<url><loc>https://scifaro.com/en/abs/c5t5-controllable-generation-of-organic-molecules-with-transformers-2108.10307</loc><lastmod>2021-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/c5t5-controllable-generation-of-organic-molecules-with-transformers-2108.10307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/c5t5-controllable-generation-of-organic-molecules-with-transformers-2108.10307"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-bayesian-neural-networks-2108.10346</loc><lastmod>2025-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-bayesian-neural-networks-2108.10346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-bayesian-neural-networks-2108.10346"/></url>
<url><loc>https://scifaro.com/en/abs/l1-regularized-neural-ranking-for-risk-stratification-and-its-application-to-prediction-of-time-to-distant-metastasis-in-luminal-node-negative-chemotherapy-na-ive-breast-cancer-patients-2108.10365</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l1-regularized-neural-ranking-for-risk-stratification-and-its-application-to-prediction-of-time-to-distant-metastasis-in-luminal-node-negative-chemotherapy-na-ive-breast-cancer-patients-2108.10365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l1-regularized-neural-ranking-for-risk-stratification-and-its-application-to-prediction-of-time-to-distant-metastasis-in-luminal-node-negative-chemotherapy-na-ive-breast-cancer-patients-2108.10365"/></url>
<url><loc>https://scifaro.com/en/abs/using-neighborhood-context-to-improve-information-extraction-from-visual-documents-captured-on-mobile-phones-2108.10395</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-neighborhood-context-to-improve-information-extraction-from-visual-documents-captured-on-mobile-phones-2108.10395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-neighborhood-context-to-improve-information-extraction-from-visual-documents-captured-on-mobile-phones-2108.10395"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-vehicles-longitudinal-trajectories-and-lane-changes-on-highway-on-ramps-2108.10397</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-vehicles-longitudinal-trajectories-and-lane-changes-on-highway-on-ramps-2108.10397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-vehicles-longitudinal-trajectories-and-lane-changes-on-highway-on-ramps-2108.10397"/></url>
<url><loc>https://scifaro.com/en/abs/robust-risk-aware-reinforcement-learning-2108.10403</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-risk-aware-reinforcement-learning-2108.10403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-risk-aware-reinforcement-learning-2108.10403"/></url>
<url><loc>https://scifaro.com/en/abs/streamrak-a-streaming-multi-resolution-adaptive-kernel-algorithm-2108.10411</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streamrak-a-streaming-multi-resolution-adaptive-kernel-algorithm-2108.10411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streamrak-a-streaming-multi-resolution-adaptive-kernel-algorithm-2108.10411"/></url>
<url><loc>https://scifaro.com/en/abs/jointly-learnable-data-augmentations-for-self-supervised-gnns-2108.10420</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jointly-learnable-data-augmentations-for-self-supervised-gnns-2108.10420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jointly-learnable-data-augmentations-for-self-supervised-gnns-2108.10420"/></url>
<url><loc>https://scifaro.com/en/abs/power-grid-cascading-failure-mitigation-by-reinforcement-learning-2108.10424</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-grid-cascading-failure-mitigation-by-reinforcement-learning-2108.10424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-grid-cascading-failure-mitigation-by-reinforcement-learning-2108.10424"/></url>
<url><loc>https://scifaro.com/en/abs/graph-lda-graph-structure-priors-to-improve-the-accuracy-in-few-shot-classification-2108.10427</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-lda-graph-structure-priors-to-improve-the-accuracy-in-few-shot-classification-2108.10427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-lda-graph-structure-priors-to-improve-the-accuracy-in-few-shot-classification-2108.10427"/></url>
<url><loc>https://scifaro.com/en/abs/fast-robust-tensor-principal-component-analysis-via-fiber-cur-decomposition-2108.10448</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-robust-tensor-principal-component-analysis-via-fiber-cur-decomposition-2108.10448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-robust-tensor-principal-component-analysis-via-fiber-cur-decomposition-2108.10448"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-of-deep-learning-theory-algorithms-and-applications-2108.10451</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-of-deep-learning-theory-algorithms-and-applications-2108.10451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-of-deep-learning-theory-algorithms-and-applications-2108.10451"/></url>
<url><loc>https://scifaro.com/en/abs/deep-signature-fbsde-algorithm-2108.10504</loc><lastmod>2022-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-signature-fbsde-algorithm-2108.10504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-signature-fbsde-algorithm-2108.10504"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-likelihood-estimation-for-multimodal-learning-with-missing-modality-2108.10513</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-likelihood-estimation-for-multimodal-learning-with-missing-modality-2108.10513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-likelihood-estimation-for-multimodal-learning-with-missing-modality-2108.10513"/></url>
<url><loc>https://scifaro.com/en/abs/bag-of-tricks-for-training-deeper-graph-neural-networks-a-comprehensive-benchmark-study-2108.10521</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bag-of-tricks-for-training-deeper-graph-neural-networks-a-comprehensive-benchmark-study-2108.10521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bag-of-tricks-for-training-deeper-graph-neural-networks-a-comprehensive-benchmark-study-2108.10521"/></url>
<url><loc>https://scifaro.com/en/abs/entropy-aware-model-initialization-for-effective-exploration-in-deep-reinforcement-learning-2108.10533</loc><lastmod>2025-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropy-aware-model-initialization-for-effective-exploration-in-deep-reinforcement-learning-2108.10533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropy-aware-model-initialization-for-effective-exploration-in-deep-reinforcement-learning-2108.10533"/></url>
<url><loc>https://scifaro.com/en/abs/adaptation-agnostic-meta-training-2108.10557</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptation-agnostic-meta-training-2108.10557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptation-agnostic-meta-training-2108.10557"/></url>
<url><loc>https://scifaro.com/en/abs/sigmoidf1-a-smooth-f1-score-surrogate-loss-for-multilabel-classification-2108.10566</loc><lastmod>2022-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sigmoidf1-a-smooth-f1-score-surrogate-loss-for-multilabel-classification-2108.10566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sigmoidf1-a-smooth-f1-score-surrogate-loss-for-multilabel-classification-2108.10566"/></url>
<url><loc>https://scifaro.com/en/abs/the-staircase-property-how-hierarchical-structure-can-guide-deep-learning-2108.10573</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-staircase-property-how-hierarchical-structure-can-guide-deep-learning-2108.10573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-staircase-property-how-hierarchical-structure-can-guide-deep-learning-2108.10573"/></url>
<url><loc>https://scifaro.com/en/abs/pooling-architecture-search-for-graph-classification-2108.10587</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pooling-architecture-search-for-graph-classification-2108.10587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pooling-architecture-search-for-graph-classification-2108.10587"/></url>
<url><loc>https://scifaro.com/en/abs/deepsleepnet-lite-a-simplified-automatic-sleep-stage-scoring-model-with-uncertainty-estimates-2108.10600</loc><lastmod>2022-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepsleepnet-lite-a-simplified-automatic-sleep-stage-scoring-model-with-uncertainty-estimates-2108.10600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepsleepnet-lite-a-simplified-automatic-sleep-stage-scoring-model-with-uncertainty-estimates-2108.10600"/></url>
<url><loc>https://scifaro.com/en/abs/protomil-multiple-instance-learning-with-prototypical-parts-for-whole-slide-image-classification-2108.10612</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/protomil-multiple-instance-learning-with-prototypical-parts-for-whole-slide-image-classification-2108.10612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/protomil-multiple-instance-learning-with-prototypical-parts-for-whole-slide-image-classification-2108.10612"/></url>
<url><loc>https://scifaro.com/en/abs/data-free-evaluation-of-user-contributions-in-federated-learning-2108.10623</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-free-evaluation-of-user-contributions-in-federated-learning-2108.10623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-free-evaluation-of-user-contributions-in-federated-learning-2108.10623"/></url>
<url><loc>https://scifaro.com/en/abs/layer-wise-adaptive-graph-convolution-networks-using-generalized-pagerank-2108.10636</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layer-wise-adaptive-graph-convolution-networks-using-generalized-pagerank-2108.10636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layer-wise-adaptive-graph-convolution-networks-using-generalized-pagerank-2108.10636"/></url>
<url><loc>https://scifaro.com/en/abs/data-aggregation-for-reducing-training-data-in-symbolic-regression-2108.10660</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-aggregation-for-reducing-training-data-in-symbolic-regression-2108.10660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-aggregation-for-reducing-training-data-in-symbolic-regression-2108.10660"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effectiveness-of-genetic-operations-in-symbolic-regression-2108.10661</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effectiveness-of-genetic-operations-in-symbolic-regression-2108.10661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effectiveness-of-genetic-operations-in-symbolic-regression-2108.10661"/></url>
<url><loc>https://scifaro.com/en/abs/energy-time-series-forecasting-analytical-and-empirical-assessment-of-conventional-and-machine-learning-models-2108.10663</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-time-series-forecasting-analytical-and-empirical-assessment-of-conventional-and-machine-learning-models-2108.10663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-time-series-forecasting-analytical-and-empirical-assessment-of-conventional-and-machine-learning-models-2108.10663"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-distribution-example-detection-in-deep-neural-networks-using-distance-to-modelled-embedding-2108.10673</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-distribution-example-detection-in-deep-neural-networks-using-distance-to-modelled-embedding-2108.10673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-distribution-example-detection-in-deep-neural-networks-using-distance-to-modelled-embedding-2108.10673"/></url>
<url><loc>https://scifaro.com/en/abs/does-adversarial-oversampling-help-us-2108.10697</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-adversarial-oversampling-help-us-2108.10697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-adversarial-oversampling-help-us-2108.10697"/></url>
<url><loc>https://scifaro.com/en/abs/refine-random-range-finder-for-network-embedding-2108.10703</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/refine-random-range-finder-for-network-embedding-2108.10703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/refine-random-range-finder-for-network-embedding-2108.10703"/></url>
<url><loc>https://scifaro.com/en/abs/improvement-of-a-prediction-model-for-heart-failure-survival-through-explainable-artificial-intelligence-2108.10717</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improvement-of-a-prediction-model-for-heart-failure-survival-through-explainable-artificial-intelligence-2108.10717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improvement-of-a-prediction-model-for-heart-failure-survival-through-explainable-artificial-intelligence-2108.10717"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-methods-applications-and-opportunities-2108.10733</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-methods-applications-and-opportunities-2108.10733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-methods-applications-and-opportunities-2108.10733"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-deep-learning-models-to-help-achieve-the-sustainable-development-goals-2108.10744</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-deep-learning-models-to-help-achieve-the-sustainable-development-goals-2108.10744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-deep-learning-models-to-help-achieve-the-sustainable-development-goals-2108.10744"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-for-uav-swarms-under-class-imbalance-and-power-consumption-constraints-2108.10748</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-for-uav-swarms-under-class-imbalance-and-power-consumption-constraints-2108.10748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-for-uav-swarms-under-class-imbalance-and-power-consumption-constraints-2108.10748"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-basis-of-graph-convolutional-neural-networks-via-an-intuitive-matched-filtering-approach-2108.10751</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-basis-of-graph-convolutional-neural-networks-via-an-intuitive-matched-filtering-approach-2108.10751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-basis-of-graph-convolutional-neural-networks-via-an-intuitive-matched-filtering-approach-2108.10751"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-explainable-continual-learning-framework-for-regression-problems-with-focus-on-power-forecasts-2108.10781</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-explainable-continual-learning-framework-for-regression-problems-with-focus-on-power-forecasts-2108.10781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-explainable-continual-learning-framework-for-regression-problems-with-focus-on-power-forecasts-2108.10781"/></url>
<url><loc>https://scifaro.com/en/abs/greenformers-improving-computation-and-memory-efficiency-in-transformer-models-via-low-rank-approximation-2108.10808</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greenformers-improving-computation-and-memory-efficiency-in-transformer-models-via-low-rank-approximation-2108.10808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greenformers-improving-computation-and-memory-efficiency-in-transformer-models-via-low-rank-approximation-2108.10808"/></url>
<url><loc>https://scifaro.com/en/abs/graph-contrastive-pre-training-for-effective-theorem-reasoning-2108.10821</loc><lastmod>2021-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-contrastive-pre-training-for-effective-theorem-reasoning-2108.10821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-contrastive-pre-training-for-effective-theorem-reasoning-2108.10821"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-group-lasso-neural-network-models-for-functions-of-few-variables-and-time-dependent-data-2108.10825</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-group-lasso-neural-network-models-for-functions-of-few-variables-and-time-dependent-data-2108.10825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-group-lasso-neural-network-models-for-functions-of-few-variables-and-time-dependent-data-2108.10825"/></url>
<url><loc>https://scifaro.com/en/abs/cumulative-regret-analysis-of-the-piyavskii-shubert-algorithm-and-its-variants-for-global-optimization-2108.10859</loc><lastmod>2023-12-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cumulative-regret-analysis-of-the-piyavskii-shubert-algorithm-and-its-variants-for-global-optimization-2108.10859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cumulative-regret-analysis-of-the-piyavskii-shubert-algorithm-and-its-variants-for-global-optimization-2108.10859"/></url>
<url><loc>https://scifaro.com/en/abs/the-word-is-mightier-than-the-label-learning-without-pointillistic-labels-using-data-programming-2108.10921</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-word-is-mightier-than-the-label-learning-without-pointillistic-labels-using-data-programming-2108.10921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-word-is-mightier-than-the-label-learning-without-pointillistic-labels-using-data-programming-2108.10921"/></url>
<url><loc>https://scifaro.com/en/abs/adversary-agent-reinforcement-learning-for-pursuit-evasion-2108.11010</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversary-agent-reinforcement-learning-for-pursuit-evasion-2108.11010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversary-agent-reinforcement-learning-for-pursuit-evasion-2108.11010"/></url>
<url><loc>https://scifaro.com/en/abs/a-scaling-law-for-synthetic-to-real-transfer-how-much-is-your-pre-training-effective-2108.11018</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scaling-law-for-synthetic-to-real-transfer-how-much-is-your-pre-training-effective-2108.11018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scaling-law-for-synthetic-to-real-transfer-how-much-is-your-pre-training-effective-2108.11018"/></url>
<url><loc>https://scifaro.com/en/abs/tree-decomposed-graph-neural-network-2108.11022</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-decomposed-graph-neural-network-2108.11022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-decomposed-graph-neural-network-2108.11022"/></url>
<url><loc>https://scifaro.com/en/abs/grim-a-general-real-time-deep-learning-inference-framework-for-mobile-devices-based-on-fine-grained-structured-weight-sparsity-2108.11033</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grim-a-general-real-time-deep-learning-inference-framework-for-mobile-devices-based-on-fine-grained-structured-weight-sparsity-2108.11033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grim-a-general-real-time-deep-learning-inference-framework-for-mobile-devices-based-on-fine-grained-structured-weight-sparsity-2108.11033"/></url>
<url><loc>https://scifaro.com/en/abs/ngc-a-unified-framework-for-learning-with-open-world-noisy-data-2108.11035</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ngc-a-unified-framework-for-learning-with-open-world-noisy-data-2108.11035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ngc-a-unified-framework-for-learning-with-open-world-noisy-data-2108.11035"/></url>
<url><loc>https://scifaro.com/en/abs/applying-semi-automated-hyperparameter-tuning-for-clustering-algorithms-2108.11053</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-semi-automated-hyperparameter-tuning-for-clustering-algorithms-2108.11053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-semi-automated-hyperparameter-tuning-for-clustering-algorithms-2108.11053"/></url>
<url><loc>https://scifaro.com/en/abs/social-norm-bias-residual-harms-of-fairness-aware-algorithms-2108.11056</loc><lastmod>2023-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/social-norm-bias-residual-harms-of-fairness-aware-algorithms-2108.11056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/social-norm-bias-residual-harms-of-fairness-aware-algorithms-2108.11056"/></url>
<url><loc>https://scifaro.com/en/abs/opportunistic-emulation-of-computationally-expensive-simulations-via-deep-learning-2108.11057</loc><lastmod>2022-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opportunistic-emulation-of-computationally-expensive-simulations-via-deep-learning-2108.11057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opportunistic-emulation-of-computationally-expensive-simulations-via-deep-learning-2108.11057"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-against-deep-leakage-from-gradients-2108.11106</loc><lastmod>2022-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-against-deep-leakage-from-gradients-2108.11106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-against-deep-leakage-from-gradients-2108.11106"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-matrix-completion-using-graph-autoencoder-2108.11124</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-matrix-completion-using-graph-autoencoder-2108.11124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-matrix-completion-using-graph-autoencoder-2108.11124"/></url>
<url><loc>https://scifaro.com/en/abs/bridged-adversarial-training-2108.11135</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bridged-adversarial-training-2108.11135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bridged-adversarial-training-2108.11135"/></url>
<url><loc>https://scifaro.com/en/abs/certifiers-make-neural-networks-vulnerable-to-availability-attacks-2108.11299</loc><lastmod>2023-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certifiers-make-neural-networks-vulnerable-to-availability-attacks-2108.11299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certifiers-make-neural-networks-vulnerable-to-availability-attacks-2108.11299"/></url>
<url><loc>https://scifaro.com/en/abs/a-unifying-theory-of-thompson-sampling-for-continuous-risk-averse-bandits-2108.11345</loc><lastmod>2022-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unifying-theory-of-thompson-sampling-for-continuous-risk-averse-bandits-2108.11345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unifying-theory-of-thompson-sampling-for-continuous-risk-averse-bandits-2108.11345"/></url>
<url><loc>https://scifaro.com/en/abs/auxiliary-task-update-decomposition-the-good-the-bad-and-the-neutral-2108.11346</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auxiliary-task-update-decomposition-the-good-the-bad-and-the-neutral-2108.11346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auxiliary-task-update-decomposition-the-good-the-bad-and-the-neutral-2108.11346"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-generalization-of-adam-in-learning-neural-networks-with-proper-regularization-2108.11371</loc><lastmod>2021-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-generalization-of-adam-in-learning-neural-networks-with-proper-regularization-2108.11371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-generalization-of-adam-in-learning-neural-networks-with-proper-regularization-2108.11371"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-sensor-transducer-conversion-routines-2108.11374</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-sensor-transducer-conversion-routines-2108.11374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-sensor-transducer-conversion-routines-2108.11374"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-reservoir-computing-for-solving-ordinary-differential-equations-2108.11417</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-reservoir-computing-for-solving-ordinary-differential-equations-2108.11417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-reservoir-computing-for-solving-ordinary-differential-equations-2108.11417"/></url>
<url><loc>https://scifaro.com/en/abs/towards-memory-efficient-neural-networks-via-multi-level-in-situ-generation-2108.11430</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-memory-efficient-neural-networks-via-multi-level-in-situ-generation-2108.11430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-memory-efficient-neural-networks-via-multi-level-in-situ-generation-2108.11430"/></url>
<url><loc>https://scifaro.com/en/abs/somnnet-an-spo2-based-deep-learning-network-for-sleep-apnea-detection-in-smartwatches-2108.11468</loc><lastmod>2021-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/somnnet-an-spo2-based-deep-learning-network-for-sleep-apnea-detection-in-smartwatches-2108.11468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/somnnet-an-spo2-based-deep-learning-network-for-sleep-apnea-detection-in-smartwatches-2108.11468"/></url>
<url><loc>https://scifaro.com/en/abs/eta-prediction-with-graph-neural-networks-in-google-maps-2108.11482</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eta-prediction-with-graph-neural-networks-in-google-maps-2108.11482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eta-prediction-with-graph-neural-networks-in-google-maps-2108.11482"/></url>
<url><loc>https://scifaro.com/en/abs/heavy-tailed-streaming-statistical-estimation-2108.11483</loc><lastmod>2022-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heavy-tailed-streaming-statistical-estimation-2108.11483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heavy-tailed-streaming-statistical-estimation-2108.11483"/></url>
<url><loc>https://scifaro.com/en/abs/learning-effective-and-efficient-embedding-via-an-adaptively-masked-twins-based-layer-2108.11513</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-effective-and-efficient-embedding-via-an-adaptively-masked-twins-based-layer-2108.11513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-effective-and-efficient-embedding-via-an-adaptively-masked-twins-based-layer-2108.11513"/></url>
<url><loc>https://scifaro.com/en/abs/bilateral-denoising-diffusion-models-2108.11514</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bilateral-denoising-diffusion-models-2108.11514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bilateral-denoising-diffusion-models-2108.11514"/></url>
<url><loc>https://scifaro.com/en/abs/somtimes-self-organizing-maps-for-time-series-clustering-and-its-application-to-serious-illness-conversations-2108.11523</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/somtimes-self-organizing-maps-for-time-series-clustering-and-its-application-to-serious-illness-conversations-2108.11523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/somtimes-self-organizing-maps-for-time-series-clustering-and-its-application-to-serious-illness-conversations-2108.11523"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-interpolation-approach-and-corresponding-instance-based-learning-2108.11530</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-interpolation-approach-and-corresponding-instance-based-learning-2108.11530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-interpolation-approach-and-corresponding-instance-based-learning-2108.11530"/></url>
<url><loc>https://scifaro.com/en/abs/latent-space-energy-based-model-of-symbol-vector-coupling-for-text-generation-and-classification-2108.11556</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-space-energy-based-model-of-symbol-vector-coupling-for-text-generation-and-classification-2108.11556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-space-energy-based-model-of-symbol-vector-coupling-for-text-generation-and-classification-2108.11556"/></url>
<url><loc>https://scifaro.com/en/abs/cosem-contextual-and-semantic-embedding-for-app-usage-prediction-2108.11561</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cosem-contextual-and-semantic-embedding-for-app-usage-prediction-2108.11561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cosem-contextual-and-semantic-embedding-for-app-usage-prediction-2108.11561"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-control-of-differentially-private-linear-quadratic-systems-2108.11563</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-control-of-differentially-private-linear-quadratic-systems-2108.11563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-control-of-differentially-private-linear-quadratic-systems-2108.11563"/></url>
<url><loc>https://scifaro.com/en/abs/robust-long-tailed-learning-under-label-noise-2108.11569</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-long-tailed-learning-under-label-noise-2108.11569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-long-tailed-learning-under-label-noise-2108.11569"/></url>
<url><loc>https://scifaro.com/en/abs/gnnsampler-bridging-the-gap-between-sampling-algorithms-of-gnn-and-hardware-2108.11571</loc><lastmod>2022-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gnnsampler-bridging-the-gap-between-sampling-algorithms-of-gnn-and-hardware-2108.11571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gnnsampler-bridging-the-gap-between-sampling-algorithms-of-gnn-and-hardware-2108.11571"/></url>
<url><loc>https://scifaro.com/en/abs/machine-unlearning-of-features-and-labels-2108.11577</loc><lastmod>2023-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-unlearning-of-features-and-labels-2108.11577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-unlearning-of-features-and-labels-2108.11577"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-item-response-theory-with-stochastic-variational-inference-2108.11579</loc><lastmod>2022-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-item-response-theory-with-stochastic-variational-inference-2108.11579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-item-response-theory-with-stochastic-variational-inference-2108.11579"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-the-resting-position-based-on-egg-ecg-respiration-rate-and-spo2-using-stacked-ensemble-learning-2108.11604</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-the-resting-position-based-on-egg-ecg-respiration-rate-and-spo2-using-stacked-ensemble-learning-2108.11604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-the-resting-position-based-on-egg-ecg-respiration-rate-and-spo2-using-stacked-ensemble-learning-2108.11604"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-chance-constrained-reinforcement-learning-via-separated-proportional-integral-lagrangian-2108.11623</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-chance-constrained-reinforcement-learning-via-separated-proportional-integral-lagrangian-2108.11623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-chance-constrained-reinforcement-learning-via-separated-proportional-integral-lagrangian-2108.11623"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-and-modular-robustness-analysis-of-deep-neural-networks-2108.11651</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-and-modular-robustness-analysis-of-deep-neural-networks-2108.11651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-and-modular-robustness-analysis-of-deep-neural-networks-2108.11651"/></url>
<url><loc>https://scifaro.com/en/abs/why-adversarial-reprogramming-works-when-it-fails-and-how-to-tell-the-difference-2108.11673</loc><lastmod>2023-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-adversarial-reprogramming-works-when-it-fails-and-how-to-tell-the-difference-2108.11673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-adversarial-reprogramming-works-when-it-fails-and-how-to-tell-the-difference-2108.11673"/></url>
<url><loc>https://scifaro.com/en/abs/disentangled-generative-models-for-robust-prediction-of-system-dynamics-2108.11684</loc><lastmod>2023-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-generative-models-for-robust-prediction-of-system-dynamics-2108.11684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-generative-models-for-robust-prediction-of-system-dynamics-2108.11684"/></url>
<url><loc>https://scifaro.com/en/abs/local-exceptionality-detection-in-time-series-using-subgroup-discovery-2108.11751</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-exceptionality-detection-in-time-series-using-subgroup-discovery-2108.11751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-exceptionality-detection-in-time-series-using-subgroup-discovery-2108.11751"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-bayesian-inference-for-gaussian-mixture-model-2108.11753</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-bayesian-inference-for-gaussian-mixture-model-2108.11753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-bayesian-inference-for-gaussian-mixture-model-2108.11753"/></url>
<url><loc>https://scifaro.com/en/abs/training-and-profiling-a-pediatric-emotion-recognition-classifier-on-mobile-devices-2108.11754</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-and-profiling-a-pediatric-emotion-recognition-classifier-on-mobile-devices-2108.11754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-and-profiling-a-pediatric-emotion-recognition-classifier-on-mobile-devices-2108.11754"/></url>
<url><loc>https://scifaro.com/en/abs/fast-accurate-defect-detection-in-wafer-fabrication-2108.11757</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-accurate-defect-detection-in-wafer-fabrication-2108.11757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-accurate-defect-detection-in-wafer-fabrication-2108.11757"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-learning-ante-hoc-explainable-models-via-concepts-2108.11761</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-learning-ante-hoc-explainable-models-via-concepts-2108.11761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-learning-ante-hoc-explainable-models-via-concepts-2108.11761"/></url>
<url><loc>https://scifaro.com/en/abs/attention-based-neural-load-forecasting-a-dynamic-feature-selection-approach-2108.11763</loc><lastmod>2023-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-based-neural-load-forecasting-a-dynamic-feature-selection-approach-2108.11763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-based-neural-load-forecasting-a-dynamic-feature-selection-approach-2108.11763"/></url>
<url><loc>https://scifaro.com/en/abs/a-hierarchical-assessment-of-adversarial-severity-2108.11785</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-hierarchical-assessment-of-adversarial-severity-2108.11785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-hierarchical-assessment-of-adversarial-severity-2108.11785"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-out-of-distribution-detection-using-latent-space-of-beta-vae-for-cyber-physical-systems-2108.11800</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-out-of-distribution-detection-using-latent-space-of-beta-vae-for-cyber-physical-systems-2108.11800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-out-of-distribution-detection-using-latent-space-of-beta-vae-for-cyber-physical-systems-2108.11800"/></url>
<url><loc>https://scifaro.com/en/abs/when-should-agents-explore-2108.11811</loc><lastmod>2022-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-should-agents-explore-2108.11811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-should-agents-explore-2108.11811"/></url>
<url><loc>https://scifaro.com/en/abs/when-do-contrastive-learning-signals-help-spatio-temporal-graph-forecasting-2108.11873</loc><lastmod>2022-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-do-contrastive-learning-signals-help-spatio-temporal-graph-forecasting-2108.11873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-do-contrastive-learning-signals-help-spatio-temporal-graph-forecasting-2108.11873"/></url>
<url><loc>https://scifaro.com/en/abs/dskreg-differentiable-sampling-on-knowledge-graph-for-recommendation-with-relational-gnn-2108.11883</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dskreg-differentiable-sampling-on-knowledge-graph-for-recommendation-with-relational-gnn-2108.11883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dskreg-differentiable-sampling-on-knowledge-graph-for-recommendation-with-relational-gnn-2108.11883"/></url>
<url><loc>https://scifaro.com/en/abs/enabling-sql-based-training-data-debugging-for-federated-learning-2108.11884</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enabling-sql-based-training-data-debugging-for-federated-learning-2108.11884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enabling-sql-based-training-data-debugging-for-federated-learning-2108.11884"/></url>
<url><loc>https://scifaro.com/en/abs/federated-reinforcement-learning-techniques-applications-and-open-challenges-2108.11887</loc><lastmod>2023-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-reinforcement-learning-techniques-applications-and-open-challenges-2108.11887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-reinforcement-learning-techniques-applications-and-open-challenges-2108.11887"/></url>
<url><loc>https://scifaro.com/en/abs/sketches-for-time-dependent-machine-learning-2108.11923</loc><lastmod>2021-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sketches-for-time-dependent-machine-learning-2108.11923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sketches-for-time-dependent-machine-learning-2108.11923"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-accelerating-neural-architecture-search-with-training-free-and-theory-grounded-metrics-2108.11939</loc><lastmod>2023-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-accelerating-neural-architecture-search-with-training-free-and-theory-grounded-metrics-2108.11939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-accelerating-neural-architecture-search-with-training-free-and-theory-grounded-metrics-2108.11939"/></url>
<url><loc>https://scifaro.com/en/abs/finite-time-system-identification-and-adaptive-control-in-autoregressive-exogenous-systems-2108.11959</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-time-system-identification-and-adaptive-control-in-autoregressive-exogenous-systems-2108.11959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-time-system-identification-and-adaptive-control-in-autoregressive-exogenous-systems-2108.11959"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-logit-distributions-of-adversarially-trained-deep-neural-networks-2108.12001</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-logit-distributions-of-adversarially-trained-deep-neural-networks-2108.12001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-logit-distributions-of-adversarially-trained-deep-neural-networks-2108.12001"/></url>
<url><loc>https://scifaro.com/en/abs/when-and-how-epochwise-double-descent-happens-2108.12006</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-and-how-epochwise-double-descent-happens-2108.12006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-and-how-epochwise-double-descent-happens-2108.12006"/></url>
<url><loc>https://scifaro.com/en/abs/deepflow-abnormal-traffic-flow-detection-using-siamese-networks-2108.12016</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepflow-abnormal-traffic-flow-detection-using-siamese-networks-2108.12016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepflow-abnormal-traffic-flow-detection-using-siamese-networks-2108.12016"/></url>
<url><loc>https://scifaro.com/en/abs/towards-self-explainable-graph-neural-network-2108.12055</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-self-explainable-graph-neural-network-2108.12055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-self-explainable-graph-neural-network-2108.12055"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-under-domain-transfer-with-sparse-synaptic-bursting-2108.12056</loc><lastmod>2024-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-under-domain-transfer-with-sparse-synaptic-bursting-2108.12056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-under-domain-transfer-with-sparse-synaptic-bursting-2108.12056"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-on-it-operation-series-via-online-matrix-profile-2108.12093</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-on-it-operation-series-via-online-matrix-profile-2108.12093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-on-it-operation-series-via-online-matrix-profile-2108.12093"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-give-checkable-answers-with-prover-verifier-games-2108.12099</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-give-checkable-answers-with-prover-verifier-games-2108.12099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-give-checkable-answers-with-prover-verifier-games-2108.12099"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-massive-scale-personalized-promotion-2108.12100</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-massive-scale-personalized-promotion-2108.12100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-massive-scale-personalized-promotion-2108.12100"/></url>
<url><loc>https://scifaro.com/en/abs/a-method-of-supervised-learning-from-conflicting-data-with-hidden-contexts-2108.12113</loc><lastmod>2025-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-method-of-supervised-learning-from-conflicting-data-with-hidden-contexts-2108.12113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-method-of-supervised-learning-from-conflicting-data-with-hidden-contexts-2108.12113"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-powered-semantic-communication-via-semantic-similarity-2108.12121</loc><lastmod>2022-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-powered-semantic-communication-via-semantic-similarity-2108.12121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-powered-semantic-communication-via-semantic-similarity-2108.12121"/></url>
<url><loc>https://scifaro.com/en/abs/canoe-a-system-for-collaborative-learning-for-neural-nets-2108.12124</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/canoe-a-system-for-collaborative-learning-for-neural-nets-2108.12124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/canoe-a-system-for-collaborative-learning-for-neural-nets-2108.12124"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-machine-learning-for-forecasting-the-dynamics-of-complex-networks-2108.12129</loc><lastmod>2022-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-machine-learning-for-forecasting-the-dynamics-of-complex-networks-2108.12129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-machine-learning-for-forecasting-the-dynamics-of-complex-networks-2108.12129"/></url>
<url><loc>https://scifaro.com/en/abs/provable-tensor-train-format-tensor-completion-by-riemannian-optimization-2108.12163</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-tensor-train-format-tensor-completion-by-riemannian-optimization-2108.12163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-tensor-train-format-tensor-completion-by-riemannian-optimization-2108.12163"/></url>
<url><loc>https://scifaro.com/en/abs/lassolayer-nonlinear-feature-selection-by-switching-one-to-one-links-2108.12165</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lassolayer-nonlinear-feature-selection-by-switching-one-to-one-links-2108.12165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lassolayer-nonlinear-feature-selection-by-switching-one-to-one-links-2108.12165"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-incident-aggregation-for-large-scale-online-service-systems-2108.12179</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-incident-aggregation-for-large-scale-online-service-systems-2108.12179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-incident-aggregation-for-large-scale-online-service-systems-2108.12179"/></url>
<url><loc>https://scifaro.com/en/abs/man-versus-machine-automl-and-human-experts-role-in-phishing-detection-2108.12193</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/man-versus-machine-automl-and-human-experts-role-in-phishing-detection-2108.12193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/man-versus-machine-automl-and-human-experts-role-in-phishing-detection-2108.12193"/></url>
<url><loc>https://scifaro.com/en/abs/learning-primal-dual-sparse-kernel-machines-2108.12199</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-primal-dual-sparse-kernel-machines-2108.12199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-primal-dual-sparse-kernel-machines-2108.12199"/></url>
<url><loc>https://scifaro.com/en/abs/this-looks-more-like-that-enhancing-self-explaining-models-by-prototypical-relevance-propagation-2108.12204</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/this-looks-more-like-that-enhancing-self-explaining-models-by-prototypical-relevance-propagation-2108.12204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/this-looks-more-like-that-enhancing-self-explaining-models-by-prototypical-relevance-propagation-2108.12204"/></url>
<url><loc>https://scifaro.com/en/abs/group-aware-graph-neural-network-for-nationwide-city-air-quality-forecasting-2108.12238</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-aware-graph-neural-network-for-nationwide-city-air-quality-forecasting-2108.12238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-aware-graph-neural-network-for-nationwide-city-air-quality-forecasting-2108.12238"/></url>
<url><loc>https://scifaro.com/en/abs/active-inference-for-stochastic-control-2108.12245</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-inference-for-stochastic-control-2108.12245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-inference-for-stochastic-control-2108.12245"/></url>
<url><loc>https://scifaro.com/en/abs/can-the-transformer-be-used-as-a-drop-in-replacement-for-rnns-in-text-generating-gans-2108.12275</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-the-transformer-be-used-as-a-drop-in-replacement-for-rnns-in-text-generating-gans-2108.12275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-the-transformer-be-used-as-a-drop-in-replacement-for-rnns-in-text-generating-gans-2108.12275"/></url>
<url><loc>https://scifaro.com/en/abs/lifelong-infinite-mixture-model-based-on-knowledge-driven-dirichlet-process-2108.12278</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifelong-infinite-mixture-model-based-on-knowledge-driven-dirichlet-process-2108.12278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifelong-infinite-mixture-model-based-on-knowledge-driven-dirichlet-process-2108.12278"/></url>
<url><loc>https://scifaro.com/en/abs/the-devil-is-in-the-detail-simple-tricks-improve-systematic-generalization-of-transformers-2108.12284</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-devil-is-in-the-detail-simple-tricks-improve-systematic-generalization-of-transformers-2108.12284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-devil-is-in-the-detail-simple-tricks-improve-systematic-generalization-of-transformers-2108.12284"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-supervised-heterogeneous-transfer-learning-using-dynamic-distribution-adaptation-and-manifold-regularization-2108.12293</loc><lastmod>2022-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-supervised-heterogeneous-transfer-learning-using-dynamic-distribution-adaptation-and-manifold-regularization-2108.12293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-supervised-heterogeneous-transfer-learning-using-dynamic-distribution-adaptation-and-manifold-regularization-2108.12293"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-mixup-self-and-semi-supervised-learning-for-tabular-domain-2108.12296</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-mixup-self-and-semi-supervised-learning-for-tabular-domain-2108.12296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-mixup-self-and-semi-supervised-learning-for-tabular-domain-2108.12296"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-based-condition-oriented-maintenance-scheduling-for-flow-line-systems-2108.12298</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-based-condition-oriented-maintenance-scheduling-for-flow-line-systems-2108.12298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-based-condition-oriented-maintenance-scheduling-for-flow-line-systems-2108.12298"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-clustering-approach-for-accident-prediction-2108.12308</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-clustering-approach-for-accident-prediction-2108.12308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-clustering-approach-for-accident-prediction-2108.12308"/></url>
<url><loc>https://scifaro.com/en/abs/investigation-of-nonlinear-model-order-reduction-of-the-quasigeostrophic-equations-through-a-physics-informed-convolutional-autoencoder-2108.12344</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigation-of-nonlinear-model-order-reduction-of-the-quasigeostrophic-equations-through-a-physics-informed-convolutional-autoencoder-2108.12344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigation-of-nonlinear-model-order-reduction-of-the-quasigeostrophic-equations-through-a-physics-informed-convolutional-autoencoder-2108.12344"/></url>
<url><loc>https://scifaro.com/en/abs/a-perceptually-validated-metric-for-crowd-trajectory-quality-evaluation-2108.12346</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-perceptually-validated-metric-for-crowd-trajectory-quality-evaluation-2108.12346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-perceptually-validated-metric-for-crowd-trajectory-quality-evaluation-2108.12346"/></url>
<url><loc>https://scifaro.com/en/abs/deep-information-fusion-for-electric-vehicle-charging-station-occupancy-forecasting-2108.12352</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-information-fusion-for-electric-vehicle-charging-station-occupancy-forecasting-2108.12352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-information-fusion-for-electric-vehicle-charging-station-occupancy-forecasting-2108.12352"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-classification-and-feature-selection-in-building-energy-simulations-2108.12363</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-classification-and-feature-selection-in-building-energy-simulations-2108.12363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-classification-and-feature-selection-in-building-energy-simulations-2108.12363"/></url>
<url><loc>https://scifaro.com/en/abs/domiknows-a-library-for-integration-of-symbolic-domain-knowledge-in-deep-learning-2108.12370</loc><lastmod>2021-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domiknows-a-library-for-integration-of-symbolic-domain-knowledge-in-deep-learning-2108.12370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domiknows-a-library-for-integration-of-symbolic-domain-knowledge-in-deep-learning-2108.12370"/></url>
<url><loc>https://scifaro.com/en/abs/fast-pca-a-fast-and-exact-algorithm-for-distributed-principal-component-analysis-2108.12373</loc><lastmod>2023-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-pca-a-fast-and-exact-algorithm-for-distributed-principal-component-analysis-2108.12373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-pca-a-fast-and-exact-algorithm-for-distributed-principal-component-analysis-2108.12373"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-data-fusion-in-high-dimensional-heterogeneous-datasets-via-generative-models-2108.12445</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-data-fusion-in-high-dimensional-heterogeneous-datasets-via-generative-models-2108.12445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-data-fusion-in-high-dimensional-heterogeneous-datasets-via-generative-models-2108.12445"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-optimisation-for-neural-networks-2108.12461</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-optimisation-for-neural-networks-2108.12461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-optimisation-for-neural-networks-2108.12461"/></url>
<url><loc>https://scifaro.com/en/abs/using-graph-neural-networks-to-model-the-performance-of-deep-neural-networks-2108.12489</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-graph-neural-networks-to-model-the-performance-of-deep-neural-networks-2108.12489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-graph-neural-networks-to-model-the-performance-of-deep-neural-networks-2108.12489"/></url>
<url><loc>https://scifaro.com/en/abs/disrupting-adversarial-transferability-in-deep-neural-networks-2108.12492</loc><lastmod>2023-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disrupting-adversarial-transferability-in-deep-neural-networks-2108.12492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disrupting-adversarial-transferability-in-deep-neural-networks-2108.12492"/></url>
<url><loc>https://scifaro.com/en/abs/stressnas-affect-state-and-stress-detection-using-neural-architecture-search-2108.12502</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stressnas-affect-state-and-stress-detection-using-neural-architecture-search-2108.12502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stressnas-affect-state-and-stress-detection-using-neural-architecture-search-2108.12502"/></url>
<url><loc>https://scifaro.com/en/abs/pulling-up-by-the-causal-bootstraps-causal-data-augmentation-for-pre-training-debiasing-2108.12510</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pulling-up-by-the-causal-bootstraps-causal-data-augmentation-for-pre-training-debiasing-2108.12510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pulling-up-by-the-causal-bootstraps-causal-data-augmentation-for-pre-training-debiasing-2108.12510"/></url>
<url><loc>https://scifaro.com/en/abs/combining-chest-x-rays-and-electronic-health-record-ehr-data-using-machine-learning-to-diagnose-acute-respiratory-failure-2108.12530</loc><lastmod>2022-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-chest-x-rays-and-electronic-health-record-ehr-data-using-machine-learning-to-diagnose-acute-respiratory-failure-2108.12530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-chest-x-rays-and-electronic-health-record-ehr-data-using-machine-learning-to-diagnose-acute-respiratory-failure-2108.12530"/></url>
<url><loc>https://scifaro.com/en/abs/influence-based-reinforcement-learning-for-intrinsically-motivated-agents-2108.12581</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/influence-based-reinforcement-learning-for-intrinsically-motivated-agents-2108.12581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/influence-based-reinforcement-learning-for-intrinsically-motivated-agents-2108.12581"/></url>
<url><loc>https://scifaro.com/en/abs/representation-memorization-for-fast-learning-new-knowledge-without-forgetting-2108.12596</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-memorization-for-fast-learning-new-knowledge-without-forgetting-2108.12596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-memorization-for-fast-learning-new-knowledge-without-forgetting-2108.12596"/></url>
<url><loc>https://scifaro.com/en/abs/prototype-guided-memory-replay-for-continual-learning-2108.12641</loc><lastmod>2023-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prototype-guided-memory-replay-for-continual-learning-2108.12641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prototype-guided-memory-replay-for-continual-learning-2108.12641"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-with-nofas-normalizing-flow-with-adaptive-surrogate-for-computationally-expensive-models-2108.12657</loc><lastmod>2022-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-with-nofas-normalizing-flow-with-adaptive-surrogate-for-computationally-expensive-models-2108.12657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-with-nofas-normalizing-flow-with-adaptive-surrogate-for-computationally-expensive-models-2108.12657"/></url>
<url><loc>https://scifaro.com/en/abs/dkm-differentiable-k-means-clustering-layer-for-neural-network-compression-2108.12659</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dkm-differentiable-k-means-clustering-layer-for-neural-network-compression-2108.12659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dkm-differentiable-k-means-clustering-layer-for-neural-network-compression-2108.12659"/></url>
<url><loc>https://scifaro.com/en/abs/compact-representations-of-convolutional-neural-networks-via-weight-pruning-and-quantization-2108.12704</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compact-representations-of-convolutional-neural-networks-via-weight-pruning-and-quantization-2108.12704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compact-representations-of-convolutional-neural-networks-via-weight-pruning-and-quantization-2108.12704"/></url>
<url><loc>https://scifaro.com/en/abs/deep-dive-into-semi-supervised-elbo-for-improving-classification-performance-2108.12734</loc><lastmod>2022-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-dive-into-semi-supervised-elbo-for-improving-classification-performance-2108.12734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-dive-into-semi-supervised-elbo-for-improving-classification-performance-2108.12734"/></url>
<url><loc>https://scifaro.com/en/abs/crossedwires-a-dataset-of-syntactically-equivalent-but-semantically-disparate-deep-learning-models-2108.12768</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crossedwires-a-dataset-of-syntactically-equivalent-but-semantically-disparate-deep-learning-models-2108.12768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crossedwires-a-dataset-of-syntactically-equivalent-but-semantically-disparate-deep-learning-models-2108.12768"/></url>
<url><loc>https://scifaro.com/en/abs/tcct-tightly-coupled-convolutional-transformer-on-time-series-forecasting-2108.12784</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tcct-tightly-coupled-convolutional-transformer-on-time-series-forecasting-2108.12784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tcct-tightly-coupled-convolutional-transformer-on-time-series-forecasting-2108.12784"/></url>
<url><loc>https://scifaro.com/en/abs/markov-switching-model-for-driver-behavior-prediction-use-cases-on-smartphones-2108.12801</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/markov-switching-model-for-driver-behavior-prediction-use-cases-on-smartphones-2108.12801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/markov-switching-model-for-driver-behavior-prediction-use-cases-on-smartphones-2108.12801"/></url>
<url><loc>https://scifaro.com/en/abs/dropattack-a-masked-weight-adversarial-training-method-to-improve-generalization-of-neural-networks-2108.12805</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropattack-a-masked-weight-adversarial-training-method-to-improve-generalization-of-neural-networks-2108.12805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropattack-a-masked-weight-adversarial-training-method-to-improve-generalization-of-neural-networks-2108.12805"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-machine-learning-for-medical-image-classification-2108.12816</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-machine-learning-for-medical-image-classification-2108.12816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-machine-learning-for-medical-image-classification-2108.12816"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-for-multiclass-data-description-2108.12857</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-for-multiclass-data-description-2108.12857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-for-multiclass-data-description-2108.12857"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-gaussian-processes-by-increasing-depth-2108.12862</loc><lastmod>2022-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-gaussian-processes-by-increasing-depth-2108.12862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-gaussian-processes-by-increasing-depth-2108.12862"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitz-continuity-guided-knowledge-distillation-2108.12905</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitz-continuity-guided-knowledge-distillation-2108.12905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitz-continuity-guided-knowledge-distillation-2108.12905"/></url>
<url><loc>https://scifaro.com/en/abs/a-policy-efficient-reduction-approach-to-convex-constrained-deep-reinforcement-learning-2108.12916</loc><lastmod>2022-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-policy-efficient-reduction-approach-to-convex-constrained-deep-reinforcement-learning-2108.12916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-policy-efficient-reduction-approach-to-convex-constrained-deep-reinforcement-learning-2108.12916"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-versus-dense-neural-networks-comparing-the-two-neural-networks-performance-in-predicting-building-operational-energy-use-based-on-the-building-shape-2108.12929</loc><lastmod>2024-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-versus-dense-neural-networks-comparing-the-two-neural-networks-performance-in-predicting-building-operational-energy-use-based-on-the-building-shape-2108.12929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-versus-dense-neural-networks-comparing-the-two-neural-networks-performance-in-predicting-building-operational-energy-use-based-on-the-building-shape-2108.12929"/></url>
<url><loc>https://scifaro.com/en/abs/growing-cosine-unit-a-novel-oscillatory-activation-function-that-can-speedup-training-and-reduce-parameters-in-convolutional-neural-networks-2108.12943</loc><lastmod>2025-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/growing-cosine-unit-a-novel-oscillatory-activation-function-that-can-speedup-training-and-reduce-parameters-in-convolutional-neural-networks-2108.12943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/growing-cosine-unit-a-novel-oscillatory-activation-function-that-can-speedup-training-and-reduce-parameters-in-convolutional-neural-networks-2108.12943"/></url>
<url><loc>https://scifaro.com/en/abs/normalizing-field-flows-solving-forward-and-inverse-stochastic-differential-equations-using-physics-informed-flow-models-2108.12956</loc><lastmod>2022-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normalizing-field-flows-solving-forward-and-inverse-stochastic-differential-equations-using-physics-informed-flow-models-2108.12956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normalizing-field-flows-solving-forward-and-inverse-stochastic-differential-equations-using-physics-informed-flow-models-2108.12956"/></url>
<url><loc>https://scifaro.com/en/abs/private-multi-task-learning-formulation-and-applications-to-federated-learning-2108.12978</loc><lastmod>2023-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-multi-task-learning-formulation-and-applications-to-federated-learning-2108.12978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-multi-task-learning-formulation-and-applications-to-federated-learning-2108.12978"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-stein-training-for-graph-energy-models-2108.12982</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-stein-training-for-graph-energy-models-2108.12982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-stein-training-for-graph-energy-models-2108.12982"/></url>
<url><loc>https://scifaro.com/en/abs/learning-meta-representations-for-agents-in-multi-agent-reinforcement-learning-2108.12988</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-meta-representations-for-agents-in-multi-agent-reinforcement-learning-2108.12988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-meta-representations-for-agents-in-multi-agent-reinforcement-learning-2108.12988"/></url>
<url><loc>https://scifaro.com/en/abs/shift15m-fashion-specific-dataset-for-set-to-set-matching-with-several-distribution-shifts-2108.12992</loc><lastmod>2023-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shift15m-fashion-specific-dataset-for-set-to-set-matching-with-several-distribution-shifts-2108.12992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shift15m-fashion-specific-dataset-for-set-to-set-matching-with-several-distribution-shifts-2108.12992"/></url>
<url><loc>https://scifaro.com/en/abs/communication-computation-efficient-device-edge-co-inference-via-automl-2108.13009</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-computation-efficient-device-edge-co-inference-via-automl-2108.13009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-computation-efficient-device-edge-co-inference-via-automl-2108.13009"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-bayes-error-estimators-on-real-world-datasets-with-feebee-2108.13034</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-bayes-error-estimators-on-real-world-datasets-with-feebee-2108.13034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-bayes-error-estimators-on-real-world-datasets-with-feebee-2108.13034"/></url>
<url><loc>https://scifaro.com/en/abs/integrated-decision-and-control-at-multi-lane-intersections-with-mixed-traffic-flow-2108.13038</loc><lastmod>2022-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrated-decision-and-control-at-multi-lane-intersections-with-mixed-traffic-flow-2108.13038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrated-decision-and-control-at-multi-lane-intersections-with-mixed-traffic-flow-2108.13038"/></url>
<url><loc>https://scifaro.com/en/abs/an-interpretable-web-based-glioblastoma-multiforme-prognosis-prediction-tool-using-random-forest-model-2108.13039</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-interpretable-web-based-glioblastoma-multiforme-prognosis-prediction-tool-using-random-forest-model-2108.13039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-interpretable-web-based-glioblastoma-multiforme-prognosis-prediction-tool-using-random-forest-model-2108.13039"/></url>
<url><loc>https://scifaro.com/en/abs/auto-split-a-general-framework-of-collaborative-edge-cloud-ai-2108.13041</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-split-a-general-framework-of-collaborative-edge-cloud-ai-2108.13041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-split-a-general-framework-of-collaborative-edge-cloud-ai-2108.13041"/></url>
<url><loc>https://scifaro.com/en/abs/single-node-injection-attack-against-graph-neural-networks-2108.13049</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-node-injection-attack-against-graph-neural-networks-2108.13049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-node-injection-attack-against-graph-neural-networks-2108.13049"/></url>
<url><loc>https://scifaro.com/en/abs/demystifying-drug-repurposing-domain-comprehension-with-knowledge-graph-embedding-2108.13051</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-drug-repurposing-domain-comprehension-with-knowledge-graph-embedding-2108.13051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-drug-repurposing-domain-comprehension-with-knowledge-graph-embedding-2108.13051"/></url>
<url><loc>https://scifaro.com/en/abs/to-tune-or-not-to-tune-an-approach-for-recommending-important-hyperparameters-2108.13066</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-tune-or-not-to-tune-an-approach-for-recommending-important-hyperparameters-2108.13066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-tune-or-not-to-tune-an-approach-for-recommending-important-hyperparameters-2108.13066"/></url>
<url><loc>https://scifaro.com/en/abs/an-introduction-to-variational-inference-2108.13083</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-introduction-to-variational-inference-2108.13083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-introduction-to-variational-inference-2108.13083"/></url>
<url><loc>https://scifaro.com/en/abs/geovectors-a-linked-open-corpus-of-openstreetmap-embeddings-on-world-scale-2108.13092</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geovectors-a-linked-open-corpus-of-openstreetmap-embeddings-on-world-scale-2108.13092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geovectors-a-linked-open-corpus-of-openstreetmap-embeddings-on-world-scale-2108.13092"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-vulnerabilities-of-deep-neural-policies-2108.13093</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-vulnerabilities-of-deep-neural-policies-2108.13093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-vulnerabilities-of-deep-neural-policies-2108.13093"/></url>
<url><loc>https://scifaro.com/en/abs/feature-importance-in-a-deep-learning-climate-emulator-2108.13203</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-importance-in-a-deep-learning-climate-emulator-2108.13203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-importance-in-a-deep-learning-climate-emulator-2108.13203"/></url>
<url><loc>https://scifaro.com/en/abs/whole-brain-vessel-graphs-a-dataset-and-benchmark-for-graph-learning-and-neuroscience-vesselgraph-2108.13233</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/whole-brain-vessel-graphs-a-dataset-and-benchmark-for-graph-learning-and-neuroscience-vesselgraph-2108.13233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/whole-brain-vessel-graphs-a-dataset-and-benchmark-for-graph-learning-and-neuroscience-vesselgraph-2108.13233"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-perturbation-adversarial-training-based-on-reinforcement-learning-2108.13239</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-perturbation-adversarial-training-based-on-reinforcement-learning-2108.13239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-perturbation-adversarial-training-based-on-reinforcement-learning-2108.13239"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-at-the-edge-of-the-statistical-precipice-2108.13264</loc><lastmod>2022-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-at-the-edge-of-the-statistical-precipice-2108.13264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-at-the-edge-of-the-statistical-precipice-2108.13264"/></url>
<url><loc>https://scifaro.com/en/abs/the-missing-link-developing-a-safety-case-for-perception-components-in-automated-driving-2108.13294</loc><lastmod>2022-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-missing-link-developing-a-safety-case-for-perception-components-in-automated-driving-2108.13294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-missing-link-developing-a-safety-case-for-perception-components-in-automated-driving-2108.13294"/></url>
<url><loc>https://scifaro.com/en/abs/extracting-qualitative-causal-structure-with-transformer-based-nlp-2108.13304</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extracting-qualitative-causal-structure-with-transformer-based-nlp-2108.13304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extracting-qualitative-causal-structure-with-transformer-based-nlp-2108.13304"/></url>
<url><loc>https://scifaro.com/en/abs/fedkd-communication-efficient-federated-learning-via-knowledge-distillation-2108.13323</loc><lastmod>2022-05-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedkd-communication-efficient-federated-learning-via-knowledge-distillation-2108.13323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedkd-communication-efficient-federated-learning-via-knowledge-distillation-2108.13323"/></url>
<url><loc>https://scifaro.com/en/abs/dnnfusion-accelerating-deep-neural-networks-execution-with-advanced-operator-fusion-2108.13342</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dnnfusion-accelerating-deep-neural-networks-execution-with-advanced-operator-fusion-2108.13342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dnnfusion-accelerating-deep-neural-networks-execution-with-advanced-operator-fusion-2108.13342"/></url>
<url><loc>https://scifaro.com/en/abs/survival-prediction-of-heart-failure-patients-using-stacked-ensemble-machine-learning-algorithm-2108.13367</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survival-prediction-of-heart-failure-patients-using-stacked-ensemble-machine-learning-algorithm-2108.13367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survival-prediction-of-heart-failure-patients-using-stacked-ensemble-machine-learning-algorithm-2108.13367"/></url>
<url><loc>https://scifaro.com/en/abs/ovarian-cancer-prediction-from-ovarian-cysts-based-on-tvus-using-machine-learning-algorithms-2108.13387</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ovarian-cancer-prediction-from-ovarian-cysts-based-on-tvus-using-machine-learning-algorithms-2108.13387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ovarian-cancer-prediction-from-ovarian-cysts-based-on-tvus-using-machine-learning-algorithms-2108.13387"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-labels-for-weakly-supervised-gamma-hadron-classification-2108.13396</loc><lastmod>2021-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-labels-for-weakly-supervised-gamma-hadron-classification-2108.13396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-labels-for-weakly-supervised-gamma-hadron-classification-2108.13396"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-the-accuracy-and-robustness-of-feedback-alignment-algorithms-2108.13446</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-the-accuracy-and-robustness-of-feedback-alignment-algorithms-2108.13446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-the-accuracy-and-robustness-of-feedback-alignment-algorithms-2108.13446"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-methods-for-management-uav-flocks-a-survey-2108.13448</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-methods-for-management-uav-flocks-a-survey-2108.13448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-methods-for-management-uav-flocks-a-survey-2108.13448"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-prediction-using-deep-learning-methods-in-healthcare-2108.13461</loc><lastmod>2022-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-prediction-using-deep-learning-methods-in-healthcare-2108.13461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-prediction-using-deep-learning-methods-in-healthcare-2108.13461"/></url>
<url><loc>https://scifaro.com/en/abs/a-convolutional-neural-network-based-approach-to-field-reconstruction-2108.13517</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-convolutional-neural-network-based-approach-to-field-reconstruction-2108.13517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-convolutional-neural-network-based-approach-to-field-reconstruction-2108.13517"/></url>
<url><loc>https://scifaro.com/en/abs/dowhy-addressing-challenges-in-expressing-and-validating-causal-assumptions-2108.13518</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dowhy-addressing-challenges-in-expressing-and-validating-causal-assumptions-2108.13518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dowhy-addressing-challenges-in-expressing-and-validating-causal-assumptions-2108.13518"/></url>
<url><loc>https://scifaro.com/en/abs/regularizing-instabilities-in-image-reconstruction-arising-from-learned-denoisers-2108.13551</loc><lastmod>2022-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizing-instabilities-in-image-reconstruction-arising-from-learned-denoisers-2108.13551"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizing-instabilities-in-image-reconstruction-arising-from-learned-denoisers-2108.13551"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-label-smoothing-to-regularize-large-scale-graph-training-2108.13555</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-label-smoothing-to-regularize-large-scale-graph-training-2108.13555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-label-smoothing-to-regularize-large-scale-graph-training-2108.13555"/></url>
<url><loc>https://scifaro.com/en/abs/fast-multi-label-learning-2108.13570</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-multi-label-learning-2108.13570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-multi-label-learning-2108.13570"/></url>
<url><loc>https://scifaro.com/en/abs/rapidly-and-accurately-estimating-brain-strain-and-strain-rate-across-head-impact-types-with-transfer-learning-and-data-fusion-2108.13577</loc><lastmod>2024-06-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapidly-and-accurately-estimating-brain-strain-and-strain-rate-across-head-impact-types-with-transfer-learning-and-data-fusion-2108.13577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapidly-and-accurately-estimating-brain-strain-and-strain-rate-across-head-impact-types-with-transfer-learning-and-data-fusion-2108.13577"/></url>
<url><loc>https://scifaro.com/en/abs/dogr-disaggregated-gaussian-regression-for-reproducible-analysis-of-heterogeneous-data-2108.13581</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dogr-disaggregated-gaussian-regression-for-reproducible-analysis-of-heterogeneous-data-2108.13581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dogr-disaggregated-gaussian-regression-for-reproducible-analysis-of-heterogeneous-data-2108.13581"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-approach-to-multilinear-dynamical-systems-and-control-2108.13583</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-approach-to-multilinear-dynamical-systems-and-control-2108.13583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-approach-to-multilinear-dynamical-systems-and-control-2108.13583"/></url>
<url><loc>https://scifaro.com/en/abs/towards-out-of-distribution-generalization-a-survey-2108.13624</loc><lastmod>2023-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-out-of-distribution-generalization-a-survey-2108.13624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-out-of-distribution-generalization-a-survey-2108.13624"/></url>
<url><loc>https://scifaro.com/en/abs/learning-optimal-prescriptive-trees-from-observational-data-2108.13628</loc><lastmod>2023-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-optimal-prescriptive-trees-from-observational-data-2108.13628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-optimal-prescriptive-trees-from-observational-data-2108.13628"/></url>
<url><loc>https://scifaro.com/en/abs/when-are-deep-networks-really-better-than-decision-forests-at-small-sample-sizes-and-how-2108.13637</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-are-deep-networks-really-better-than-decision-forests-at-small-sample-sizes-and-how-2108.13637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-are-deep-networks-really-better-than-decision-forests-at-small-sample-sizes-and-how-2108.13637"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-synthesize-programs-as-interpretable-and-generalizable-policies-2108.13643</loc><lastmod>2022-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-synthesize-programs-as-interpretable-and-generalizable-policies-2108.13643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-synthesize-programs-as-interpretable-and-generalizable-policies-2108.13643"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-graph-neural-network-with-multi-view-representation-learning-2108.13650</loc><lastmod>2022-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-graph-neural-network-with-multi-view-representation-learning-2108.13650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-graph-neural-network-with-multi-view-representation-learning-2108.13650"/></url>
<url><loc>https://scifaro.com/en/abs/sansformers-self-supervised-forecasting-in-electronic-health-records-with-attention-free-models-2108.13672</loc><lastmod>2023-11-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sansformers-self-supervised-forecasting-in-electronic-health-records-with-attention-free-models-2108.13672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sansformers-self-supervised-forecasting-in-electronic-health-records-with-attention-free-models-2108.13672"/></url>
<url><loc>https://scifaro.com/en/abs/max-utility-based-arm-selection-strategy-for-sequential-query-recommendations-2108.13810</loc><lastmod>2024-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/max-utility-based-arm-selection-strategy-for-sequential-query-recommendations-2108.13810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/max-utility-based-arm-selection-strategy-for-sequential-query-recommendations-2108.13810"/></url>
<url><loc>https://scifaro.com/en/abs/chi-square-loss-for-softmax-an-echo-of-neural-network-structure-2108.13822</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chi-square-loss-for-softmax-an-echo-of-neural-network-structure-2108.13822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chi-square-loss-for-softmax-an-echo-of-neural-network-structure-2108.13822"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-of-transferable-mimo-channel-modes-for-6g-v2x-communications-2108.13831</loc><lastmod>2022-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-of-transferable-mimo-channel-modes-for-6g-v2x-communications-2108.13831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-of-transferable-mimo-channel-modes-for-6g-v2x-communications-2108.13831"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-ai-for-engineering-design-a-unified-approach-of-systems-engineering-and-component-based-deep-learning-demonstrated-by-energy-efficient-building-design-2108.13836</loc><lastmod>2024-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-ai-for-engineering-design-a-unified-approach-of-systems-engineering-and-component-based-deep-learning-demonstrated-by-energy-efficient-building-design-2108.13836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-ai-for-engineering-design-a-unified-approach-of-systems-engineering-and-component-based-deep-learning-demonstrated-by-energy-efficient-building-design-2108.13836"/></url>
<url><loc>https://scifaro.com/en/abs/grp-fed-addressing-client-imbalance-in-federated-learning-via-global-regularized-personalization-2108.13858</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grp-fed-addressing-client-imbalance-in-federated-learning-via-global-regularized-personalization-2108.13858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grp-fed-addressing-client-imbalance-in-federated-learning-via-global-regularized-personalization-2108.13858"/></url>
<url><loc>https://scifaro.com/en/abs/using-a-one-dimensional-parabolic-model-of-the-full-batch-loss-to-estimate-learning-rates-during-training-2108.13880</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-a-one-dimensional-parabolic-model-of-the-full-batch-loss-to-estimate-learning-rates-during-training-2108.13880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-a-one-dimensional-parabolic-model-of-the-full-batch-loss-to-estimate-learning-rates-during-training-2108.13880"/></url>
<url><loc>https://scifaro.com/en/abs/structure-aware-hard-negative-mining-for-heterogeneous-graph-contrastive-learning-2108.13886</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-aware-hard-negative-mining-for-heterogeneous-graph-contrastive-learning-2108.13886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-aware-hard-negative-mining-for-heterogeneous-graph-contrastive-learning-2108.13886"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-air-pollution-with-remote-sensing-data-revealing-greenhouse-gas-emissions-from-space-2108.13902</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-air-pollution-with-remote-sensing-data-revealing-greenhouse-gas-emissions-from-space-2108.13902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-air-pollution-with-remote-sensing-data-revealing-greenhouse-gas-emissions-from-space-2108.13902"/></url>
<url><loc>https://scifaro.com/en/abs/a-manifold-learning-perspective-on-representation-learning-learning-decoder-and-representations-without-an-encoder-2108.13910</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-manifold-learning-perspective-on-representation-learning-learning-decoder-and-representations-without-an-encoder-2108.13910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-manifold-learning-perspective-on-representation-learning-learning-decoder-and-representations-without-an-encoder-2108.13910"/></url>
<url><loc>https://scifaro.com/en/abs/bubblewrap-online-tiling-and-real-time-flow-prediction-on-neural-manifolds-2108.13941</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bubblewrap-online-tiling-and-real-time-flow-prediction-on-neural-manifolds-2108.13941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bubblewrap-online-tiling-and-real-time-flow-prediction-on-neural-manifolds-2108.13941"/></url>
<url><loc>https://scifaro.com/en/abs/morphence-moving-target-defense-against-adversarial-examples-2108.13952</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/morphence-moving-target-defense-against-adversarial-examples-2108.13952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/morphence-moving-target-defense-against-adversarial-examples-2108.13952"/></url>
<url><loc>https://scifaro.com/en/abs/aps-active-pretraining-with-successor-features-2108.13956</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aps-active-pretraining-with-successor-features-2108.13956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aps-active-pretraining-with-successor-features-2108.13956"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-methods-for-partially-observed-markov-decision-processes-pomdps-2108.13965</loc><lastmod>2021-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-methods-for-partially-observed-markov-decision-processes-pomdps-2108.13965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-methods-for-partially-observed-markov-decision-processes-pomdps-2108.13965"/></url>
<url><loc>https://scifaro.com/en/abs/warpdrive-extremely-fast-end-to-end-deep-multi-agent-reinforcement-learning-on-a-gpu-2108.13976</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/warpdrive-extremely-fast-end-to-end-deep-multi-agent-reinforcement-learning-on-a-gpu-2108.13976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/warpdrive-extremely-fast-end-to-end-deep-multi-agent-reinforcement-learning-on-a-gpu-2108.13976"/></url>
<url><loc>https://scifaro.com/en/abs/designing-rotationally-invariant-neural-networks-from-pdes-and-variational-methods-2108.13993</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-rotationally-invariant-neural-networks-from-pdes-and-variational-methods-2108.13993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-rotationally-invariant-neural-networks-from-pdes-and-variational-methods-2108.13993"/></url>
<url><loc>https://scifaro.com/en/abs/working-memory-connections-for-lstm-2109.00020</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/working-memory-connections-for-lstm-2109.00020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/working-memory-connections-for-lstm-2109.00020"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-reduced-order-modeling-of-spatiotemporal-chaos-with-neural-ordinary-differential-equations-2109.00060</loc><lastmod>2022-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-reduced-order-modeling-of-spatiotemporal-chaos-with-neural-ordinary-differential-equations-2109.00060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-reduced-order-modeling-of-spatiotemporal-chaos-with-neural-ordinary-differential-equations-2109.00060"/></url>
<url><loc>https://scifaro.com/en/abs/quantized-convolutional-neural-networks-through-the-lens-of-partial-differential-equations-2109.00095</loc><lastmod>2024-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantized-convolutional-neural-networks-through-the-lens-of-partial-differential-equations-2109.00095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantized-convolutional-neural-networks-through-the-lens-of-partial-differential-equations-2109.00095"/></url>
<url><loc>https://scifaro.com/en/abs/position-based-hash-embeddings-for-scaling-graph-neural-networks-2109.00101</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/position-based-hash-embeddings-for-scaling-graph-neural-networks-2109.00101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/position-based-hash-embeddings-for-scaling-graph-neural-networks-2109.00101"/></url>
<url><loc>https://scifaro.com/en/abs/a-weight-initialization-based-on-the-linear-product-structure-for-neural-networks-2109.00125</loc><lastmod>2022-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-weight-initialization-based-on-the-linear-product-structure-for-neural-networks-2109.00125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-weight-initialization-based-on-the-linear-product-structure-for-neural-networks-2109.00125"/></url>
<url><loc>https://scifaro.com/en/abs/online-dynamic-window-odw-assisted-two-stage-lstm-frameworks-for-indoor-localization-2109.00126</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-dynamic-window-odw-assisted-two-stage-lstm-frameworks-for-indoor-localization-2109.00126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-dynamic-window-odw-assisted-two-stage-lstm-frameworks-for-indoor-localization-2109.00126"/></url>
<url><loc>https://scifaro.com/en/abs/deep-dual-support-vector-data-description-for-anomaly-detection-on-attributed-networks-2109.00138</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-dual-support-vector-data-description-for-anomaly-detection-on-attributed-networks-2109.00138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-dual-support-vector-data-description-for-anomaly-detection-on-attributed-networks-2109.00138"/></url>
<url><loc>https://scifaro.com/en/abs/federated-reconnaissance-efficient-distributed-class-incremental-learning-2109.00150</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-reconnaissance-efficient-distributed-class-incremental-learning-2109.00150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-reconnaissance-efficient-distributed-class-incremental-learning-2109.00150"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-federated-learning-for-sensor-data-with-concept-drift-2109.00151</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-federated-learning-for-sensor-data-with-concept-drift-2109.00151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-federated-learning-for-sensor-data-with-concept-drift-2109.00151"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-exploration-methods-in-reinforcement-learning-2109.00157</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-exploration-methods-in-reinforcement-learning-2109.00157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-exploration-methods-in-reinforcement-learning-2109.00157"/></url>
<url><loc>https://scifaro.com/en/abs/approximation-properties-of-deep-relu-cnns-2109.00190</loc><lastmod>2022-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximation-properties-of-deep-relu-cnns-2109.00190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximation-properties-of-deep-relu-cnns-2109.00190"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-on-the-joint-impact-of-feature-selection-and-data-re-sampling-on-imbalance-classification-2109.00201</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-on-the-joint-impact-of-feature-selection-and-data-re-sampling-on-imbalance-classification-2109.00201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-on-the-joint-impact-of-feature-selection-and-data-re-sampling-on-imbalance-classification-2109.00201"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-issues-in-medical-application-2109.00202</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-issues-in-medical-application-2109.00202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-issues-in-medical-application-2109.00202"/></url>
<url><loc>https://scifaro.com/en/abs/complexity-measures-for-multi-objective-symbolic-regression-2109.00238</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complexity-measures-for-multi-objective-symbolic-regression-2109.00238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complexity-measures-for-multi-objective-symbolic-regression-2109.00238"/></url>
<url><loc>https://scifaro.com/en/abs/the-impact-of-reinitialization-on-generalization-in-convolutional-neural-networks-2109.00267</loc><lastmod>2021-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-impact-of-reinitialization-on-generalization-in-convolutional-neural-networks-2109.00267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-impact-of-reinitialization-on-generalization-in-convolutional-neural-networks-2109.00267"/></url>
<url><loc>https://scifaro.com/en/abs/multistage-pruning-of-cnn-based-ecg-classifiers-for-edge-devices-2109.00516</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multistage-pruning-of-cnn-based-ecg-classifiers-for-edge-devices-2109.00516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multistage-pruning-of-cnn-based-ecg-classifiers-for-edge-devices-2109.00516"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-explainability-in-assuring-safety-of-machine-learning-in-healthcare-2109.00520</loc><lastmod>2022-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-explainability-in-assuring-safety-of-machine-learning-in-healthcare-2109.00520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-explainability-in-assuring-safety-of-machine-learning-in-healthcare-2109.00520"/></url>
<url><loc>https://scifaro.com/en/abs/don-t-discard-all-the-biased-instances-investigating-a-core-assumption-in-dataset-bias-mitigation-techniques-2109.00521</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/don-t-discard-all-the-biased-instances-investigating-a-core-assumption-in-dataset-bias-mitigation-techniques-2109.00521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/don-t-discard-all-the-biased-instances-investigating-a-core-assumption-in-dataset-bias-mitigation-techniques-2109.00521"/></url>
<url><loc>https://scifaro.com/en/abs/catastrophic-interference-in-reinforcement-learning-a-solution-based-on-context-division-and-knowledge-distillation-2109.00525</loc><lastmod>2022-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/catastrophic-interference-in-reinforcement-learning-a-solution-based-on-context-division-and-knowledge-distillation-2109.00525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/catastrophic-interference-in-reinforcement-learning-a-solution-based-on-context-division-and-knowledge-distillation-2109.00525"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-gans-with-gradient-penalty-compute-congested-transport-2109.00528</loc><lastmod>2022-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-gans-with-gradient-penalty-compute-congested-transport-2109.00528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-gans-with-gradient-penalty-compute-congested-transport-2109.00528"/></url>
<url><loc>https://scifaro.com/en/abs/r-snn-an-analysis-and-design-methodology-for-robustifying-spiking-neural-networks-against-adversarial-attacks-through-noise-filters-for-dynamic-vision-sensors-2109.00533</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/r-snn-an-analysis-and-design-methodology-for-robustifying-spiking-neural-networks-against-adversarial-attacks-through-noise-filters-for-dynamic-vision-sensors-2109.00533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/r-snn-an-analysis-and-design-methodology-for-robustifying-spiking-neural-networks-against-adversarial-attacks-through-noise-filters-for-dynamic-vision-sensors-2109.00533"/></url>
<url><loc>https://scifaro.com/en/abs/shared-certificates-for-neural-network-verification-2109.00542</loc><lastmod>2023-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shared-certificates-for-neural-network-verification-2109.00542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shared-certificates-for-neural-network-verification-2109.00542"/></url>
<url><loc>https://scifaro.com/en/abs/fair-representation-guaranteeing-approximate-multiple-group-fairness-for-unknown-tasks-2109.00545</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-representation-guaranteeing-approximate-multiple-group-fairness-for-unknown-tasks-2109.00545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-representation-guaranteeing-approximate-multiple-group-fairness-for-unknown-tasks-2109.00545"/></url>
<url><loc>https://scifaro.com/en/abs/process-parameter-optimization-of-friction-stir-welding-on-6061aa-using-supervised-machine-learning-regression-based-algorithms-2109.00570</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/process-parameter-optimization-of-friction-stir-welding-on-6061aa-using-supervised-machine-learning-regression-based-algorithms-2109.00570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/process-parameter-optimization-of-friction-stir-welding-on-6061aa-using-supervised-machine-learning-regression-based-algorithms-2109.00570"/></url>
<url><loc>https://scifaro.com/en/abs/favoa-face-voice-association-favours-ambiguous-speaker-detection-2109.00577</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/favoa-face-voice-association-favours-ambiguous-speaker-detection-2109.00577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/favoa-face-voice-association-favours-ambiguous-speaker-detection-2109.00577"/></url>
<url><loc>https://scifaro.com/en/abs/wearable-based-classification-of-running-styles-with-deep-learning-2109.00594</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wearable-based-classification-of-running-styles-with-deep-learning-2109.00594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wearable-based-classification-of-running-styles-with-deep-learning-2109.00594"/></url>
<url><loc>https://scifaro.com/en/abs/streaming-data-preprocessing-via-online-tensor-recovery-for-large-environmental-sensor-networks-2109.00596</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streaming-data-preprocessing-via-online-tensor-recovery-for-large-environmental-sensor-networks-2109.00596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streaming-data-preprocessing-via-online-tensor-recovery-for-large-environmental-sensor-networks-2109.00596"/></url>
<url><loc>https://scifaro.com/en/abs/selecting-optimal-trace-clustering-pipelines-with-automl-2109.00635</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selecting-optimal-trace-clustering-pipelines-with-automl-2109.00635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selecting-optimal-trace-clustering-pipelines-with-automl-2109.00635"/></url>
<url><loc>https://scifaro.com/en/abs/rifle-imputation-and-robust-inference-from-low-order-marginals-2109.00644</loc><lastmod>2023-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rifle-imputation-and-robust-inference-from-low-order-marginals-2109.00644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rifle-imputation-and-robust-inference-from-low-order-marginals-2109.00644"/></url>
<url><loc>https://scifaro.com/en/abs/dash-semi-supervised-learning-with-dynamic-thresholding-2109.00650</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dash-semi-supervised-learning-with-dynamic-thresholding-2109.00650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dash-semi-supervised-learning-with-dynamic-thresholding-2109.00650"/></url>
<url><loc>https://scifaro.com/en/abs/tabfairgan-fair-tabular-data-generation-with-generative-adversarial-networks-2109.00666</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tabfairgan-fair-tabular-data-generation-with-generative-adversarial-networks-2109.00666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tabfairgan-fair-tabular-data-generation-with-generative-adversarial-networks-2109.00666"/></url>
<url><loc>https://scifaro.com/en/abs/excess-capacity-and-backdoor-poisoning-2109.00685</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/excess-capacity-and-backdoor-poisoning-2109.00685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/excess-capacity-and-backdoor-poisoning-2109.00685"/></url>
<url><loc>https://scifaro.com/en/abs/global-convolutional-neural-processes-2109.00691</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convolutional-neural-processes-2109.00691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convolutional-neural-processes-2109.00691"/></url>
<url><loc>https://scifaro.com/en/abs/cross-model-consensus-of-explanations-and-beyond-for-image-classification-models-an-empirical-study-2109.00707</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-model-consensus-of-explanations-and-beyond-for-image-classification-models-an-empirical-study-2109.00707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-model-consensus-of-explanations-and-beyond-for-image-classification-models-an-empirical-study-2109.00707"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-algorithms-for-fair-clustering-with-a-new-fairness-notion-2109.00708</loc><lastmod>2023-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-algorithms-for-fair-clustering-with-a-new-fairness-notion-2109.00708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-algorithms-for-fair-clustering-with-a-new-fairness-notion-2109.00708"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-relational-message-passing-networks-for-molecular-dynamics-simulations-2109.00711</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-relational-message-passing-networks-for-molecular-dynamics-simulations-2109.00711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-relational-message-passing-networks-for-molecular-dynamics-simulations-2109.00711"/></url>
<url><loc>https://scifaro.com/en/abs/rf-lighgbm-a-probabilistic-ensemble-way-to-predict-customer-repurchase-behaviour-in-community-e-commerce-2109.00724</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rf-lighgbm-a-probabilistic-ensemble-way-to-predict-customer-repurchase-behaviour-in-community-e-commerce-2109.00724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rf-lighgbm-a-probabilistic-ensemble-way-to-predict-customer-repurchase-behaviour-in-community-e-commerce-2109.00724"/></url>
<url><loc>https://scifaro.com/en/abs/co-separable-nonnegative-matrix-factorization-2109.00749</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-separable-nonnegative-matrix-factorization-2109.00749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-separable-nonnegative-matrix-factorization-2109.00749"/></url>
<url><loc>https://scifaro.com/en/abs/computer-vision-self-supervised-learning-methods-on-time-series-2109.00783</loc><lastmod>2024-01-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computer-vision-self-supervised-learning-methods-on-time-series-2109.00783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computer-vision-self-supervised-learning-methods-on-time-series-2109.00783"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-learning-using-siamese-networks-2109.00794</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-learning-using-siamese-networks-2109.00794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-learning-using-siamese-networks-2109.00794"/></url>
<url><loc>https://scifaro.com/en/abs/nasi-label-and-data-agnostic-neural-architecture-search-at-initialization-2109.00817</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nasi-label-and-data-agnostic-neural-architecture-search-at-initialization-2109.00817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nasi-label-and-data-agnostic-neural-architecture-search-at-initialization-2109.00817"/></url>
<url><loc>https://scifaro.com/en/abs/inferring-feature-importance-with-uncertainties-in-high-dimensional-data-2109.00855</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferring-feature-importance-with-uncertainties-in-high-dimensional-data-2109.00855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferring-feature-importance-with-uncertainties-in-high-dimensional-data-2109.00855"/></url>
<url><loc>https://scifaro.com/en/abs/macrpo-multi-agent-cooperative-recurrent-policy-optimization-2109.00882</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/macrpo-multi-agent-cooperative-recurrent-policy-optimization-2109.00882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/macrpo-multi-agent-cooperative-recurrent-policy-optimization-2109.00882"/></url>
<url><loc>https://scifaro.com/en/abs/sparsifying-the-update-step-in-graph-neural-networks-2109.00909</loc><lastmod>2022-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsifying-the-update-step-in-graph-neural-networks-2109.00909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsifying-the-update-step-in-graph-neural-networks-2109.00909"/></url>
<url><loc>https://scifaro.com/en/abs/improving-multimodal-fusion-via-mutual-dependency-maximisation-2109.00922</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-multimodal-fusion-via-mutual-dependency-maximisation-2109.00922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-multimodal-fusion-via-mutual-dependency-maximisation-2109.00922"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-multi-graph-convolution-network-for-metro-passenger-volume-prediction-2109.00924</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-multi-graph-convolution-network-for-metro-passenger-volume-prediction-2109.00924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-multi-graph-convolution-network-for-metro-passenger-volume-prediction-2109.00924"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-for-unsupervised-domain-adaptation-2109.00946</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-for-unsupervised-domain-adaptation-2109.00946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-for-unsupervised-domain-adaptation-2109.00946"/></url>
<url><loc>https://scifaro.com/en/abs/building-compact-and-robust-deep-neural-networks-with-toeplitz-matrices-2109.00959</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-compact-and-robust-deep-neural-networks-with-toeplitz-matrices-2109.00959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-compact-and-robust-deep-neural-networks-with-toeplitz-matrices-2109.00959"/></url>
<url><loc>https://scifaro.com/en/abs/crypten-secure-multi-party-computation-meets-machine-learning-2109.00984</loc><lastmod>2022-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crypten-secure-multi-party-computation-meets-machine-learning-2109.00984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crypten-secure-multi-party-computation-meets-machine-learning-2109.00984"/></url>
<url><loc>https://scifaro.com/en/abs/mrsqm-fast-time-series-classification-with-symbolic-representations-2109.01036</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mrsqm-fast-time-series-classification-with-symbolic-representations-2109.01036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mrsqm-fast-time-series-classification-with-symbolic-representations-2109.01036"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-possible-failure-modes-in-physics-informed-neural-networks-2109.01050</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-possible-failure-modes-in-physics-informed-neural-networks-2109.01050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-possible-failure-modes-in-physics-informed-neural-networks-2109.01050"/></url>
<url><loc>https://scifaro.com/en/abs/transformer-networks-for-data-augmentation-of-human-physical-activity-recognition-2109.01081</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformer-networks-for-data-augmentation-of-human-physical-activity-recognition-2109.01081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformer-networks-for-data-augmentation-of-human-physical-activity-recognition-2109.01081"/></url>
<url><loc>https://scifaro.com/en/abs/what-users-want-warhol-a-generative-model-for-recommendation-2109.01093</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-users-want-warhol-a-generative-model-for-recommendation-2109.01093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-users-want-warhol-a-generative-model-for-recommendation-2109.01093"/></url>
<url><loc>https://scifaro.com/en/abs/solving-inverse-problems-with-conditional-gan-prior-via-fast-network-projected-gradient-descent-2109.01105</loc><lastmod>2021-09-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-inverse-problems-with-conditional-gan-prior-via-fast-network-projected-gradient-descent-2109.01105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-inverse-problems-with-conditional-gan-prior-via-fast-network-projected-gradient-descent-2109.01105"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-of-graph-contrastive-learning-2109.01116</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-of-graph-contrastive-learning-2109.01116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-of-graph-contrastive-learning-2109.01116"/></url>
<url><loc>https://scifaro.com/en/abs/provably-safe-model-based-meta-reinforcement-learning-an-abstraction-based-approach-2109.01255</loc><lastmod>2021-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-safe-model-based-meta-reinforcement-learning-an-abstraction-based-approach-2109.01255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-safe-model-based-meta-reinforcement-learning-an-abstraction-based-approach-2109.01255"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-demand-flexibility-using-siamese-lstm-neural-networks-2109.01258</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-demand-flexibility-using-siamese-lstm-neural-networks-2109.01258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-demand-flexibility-using-siamese-lstm-neural-networks-2109.01258"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-inject-backdoors-with-better-consistency-logit-anchoring-on-clean-data-2109.01300</loc><lastmod>2022-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-inject-backdoors-with-better-consistency-logit-anchoring-on-clean-data-2109.01300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-inject-backdoors-with-better-consistency-logit-anchoring-on-clean-data-2109.01300"/></url>
<url><loc>https://scifaro.com/en/abs/j-score-a-robust-measure-of-clustering-accuracy-2109.01306</loc><lastmod>2021-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/j-score-a-robust-measure-of-clustering-accuracy-2109.01306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/j-score-a-robust-measure-of-clustering-accuracy-2109.01306"/></url>
<url><loc>https://scifaro.com/en/abs/edge-featured-graph-neural-architecture-search-2109.01356</loc><lastmod>2021-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edge-featured-graph-neural-architecture-search-2109.01356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edge-featured-graph-neural-architecture-search-2109.01356"/></url>
<url><loc>https://scifaro.com/en/abs/instance-wise-or-class-wise-a-tale-of-neighbor-shapley-for-concept-based-explanation-2109.01369</loc><lastmod>2023-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-wise-or-class-wise-a-tale-of-neighbor-shapley-for-concept-based-explanation-2109.01369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-wise-or-class-wise-a-tale-of-neighbor-shapley-for-concept-based-explanation-2109.01369"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-approach-to-online-transfer-learning-theory-and-algorithms-2109.01377</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-approach-to-online-transfer-learning-theory-and-algorithms-2109.01377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-approach-to-online-transfer-learning-theory-and-algorithms-2109.01377"/></url>
<url><loc>https://scifaro.com/en/abs/topographic-vaes-learn-equivariant-capsules-2109.01394</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topographic-vaes-learn-equivariant-capsules-2109.01394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topographic-vaes-learn-equivariant-capsules-2109.01394"/></url>
<url><loc>https://scifaro.com/en/abs/building-interpretable-models-for-business-process-prediction-using-shared-and-specialised-attention-mechanisms-2109.01419</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-interpretable-models-for-business-process-prediction-using-shared-and-specialised-attention-mechanisms-2109.01419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-interpretable-models-for-business-process-prediction-using-shared-and-specialised-attention-mechanisms-2109.01419"/></url>
<url><loc>https://scifaro.com/en/abs/novel-split-quality-measures-for-stratified-multilabel-cross-validation-with-application-to-large-and-sparse-gene-ontology-datasets-2109.01425</loc><lastmod>2022-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/novel-split-quality-measures-for-stratified-multilabel-cross-validation-with-application-to-large-and-sparse-gene-ontology-datasets-2109.01425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/novel-split-quality-measures-for-stratified-multilabel-cross-validation-with-application-to-large-and-sparse-gene-ontology-datasets-2109.01425"/></url>
<url><loc>https://scifaro.com/en/abs/impact-of-gpu-uncertainty-on-the-training-of-predictive-deep-neural-networks-2109.01451</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impact-of-gpu-uncertainty-on-the-training-of-predictive-deep-neural-networks-2109.01451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impact-of-gpu-uncertainty-on-the-training-of-predictive-deep-neural-networks-2109.01451"/></url>
<url><loc>https://scifaro.com/en/abs/dive-into-layers-neural-network-capacity-bounding-using-algebraic-geometry-2109.01461</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dive-into-layers-neural-network-capacity-bounding-using-algebraic-geometry-2109.01461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dive-into-layers-neural-network-capacity-bounding-using-algebraic-geometry-2109.01461"/></url>
<url><loc>https://scifaro.com/en/abs/lg4av-combining-language-models-and-graph-neural-networks-for-author-verification-2109.01479</loc><lastmod>2022-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lg4av-combining-language-models-and-graph-neural-networks-for-author-verification-2109.01479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lg4av-combining-language-models-and-graph-neural-networks-for-author-verification-2109.01479"/></url>
<url><loc>https://scifaro.com/en/abs/computing-graph-descriptors-on-edge-streams-2109.01494</loc><lastmod>2023-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-graph-descriptors-on-edge-streams-2109.01494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-graph-descriptors-on-edge-streams-2109.01494"/></url>
<url><loc>https://scifaro.com/en/abs/biomedical-data-to-text-generation-via-fine-tuning-transformers-2109.01518</loc><lastmod>2021-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biomedical-data-to-text-generation-via-fine-tuning-transformers-2109.01518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biomedical-data-to-text-generation-via-fine-tuning-transformers-2109.01518"/></url>
<url><loc>https://scifaro.com/en/abs/lightautoml-automl-solution-for-a-large-financial-services-ecosystem-2109.01528</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lightautoml-automl-solution-for-a-large-financial-services-ecosystem-2109.01528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lightautoml-automl-solution-for-a-large-financial-services-ecosystem-2109.01528"/></url>
<url><loc>https://scifaro.com/en/abs/macest-the-reliable-and-trustworthy-model-agnostic-confidence-estimator-2109.01531</loc><lastmod>2021-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/macest-the-reliable-and-trustworthy-model-agnostic-confidence-estimator-2109.01531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/macest-the-reliable-and-trustworthy-model-agnostic-confidence-estimator-2109.01531"/></url>
<url><loc>https://scifaro.com/en/abs/investigate-the-correlation-of-breast-cancer-dataset-using-different-clustering-technique-2109.01538</loc><lastmod>2021-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigate-the-correlation-of-breast-cancer-dataset-using-different-clustering-technique-2109.01538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigate-the-correlation-of-breast-cancer-dataset-using-different-clustering-technique-2109.01538"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-learning-with-fourier-features-and-tensor-decompositions-2109.01545</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-learning-with-fourier-features-and-tensor-decompositions-2109.01545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-learning-with-fourier-features-and-tensor-decompositions-2109.01545"/></url>
<url><loc>https://scifaro.com/en/abs/pareto-optimal-learning-augmented-algorithms-for-online-conversion-problems-2109.01556</loc><lastmod>2021-09-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pareto-optimal-learning-augmented-algorithms-for-online-conversion-problems-2109.01556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pareto-optimal-learning-augmented-algorithms-for-online-conversion-problems-2109.01556"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-physics-informed-neural-ordinary-differential-equations-2109.01621</loc><lastmod>2022-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-physics-informed-neural-ordinary-differential-equations-2109.01621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-physics-informed-neural-ordinary-differential-equations-2109.01621"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-natural-actor-critic-reinforcement-learning-algorithms-2109.01654</loc><lastmod>2022-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-natural-actor-critic-reinforcement-learning-algorithms-2109.01654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-natural-actor-critic-reinforcement-learning-algorithms-2109.01654"/></url>
<url><loc>https://scifaro.com/en/abs/thompson-sampling-for-bandits-with-clustered-arms-2109.01656</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thompson-sampling-for-bandits-with-clustered-arms-2109.01656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thompson-sampling-for-bandits-with-clustered-arms-2109.01656"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-view-multi-task-learning-framework-for-multi-variate-time-series-forecasting-2109.01657</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-view-multi-task-learning-framework-for-multi-variate-time-series-forecasting-2109.01657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-view-multi-task-learning-framework-for-multi-variate-time-series-forecasting-2109.01657"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-intelligence-in-dry-eye-disease-2109.01658</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-intelligence-in-dry-eye-disease-2109.01658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-intelligence-in-dry-eye-disease-2109.01658"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-battery-energy-storage-dispatch-augmented-with-model-based-optimizer-2109.01659</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-battery-energy-storage-dispatch-augmented-with-model-based-optimizer-2109.01659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-battery-energy-storage-dispatch-augmented-with-model-based-optimizer-2109.01659"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-detection-of-covid-19-symptoms-using-deep-learning-probability-based-weighting-of-modes-2109.01669</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-detection-of-covid-19-symptoms-using-deep-learning-probability-based-weighting-of-modes-2109.01669"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-detection-of-covid-19-symptoms-using-deep-learning-probability-based-weighting-of-modes-2109.01669"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-generalized-tensor-factorization-for-decentralized-healthcare-networks-2109.01718</loc><lastmod>2022-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-generalized-tensor-factorization-for-decentralized-healthcare-networks-2109.01718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-generalized-tensor-factorization-for-decentralized-healthcare-networks-2109.01718"/></url>
<url><loc>https://scifaro.com/en/abs/nonasymptotic-one-and-two-sample-tests-in-high-dimension-with-unknown-covariance-structure-2109.01730</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonasymptotic-one-and-two-sample-tests-in-high-dimension-with-unknown-covariance-structure-2109.01730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonasymptotic-one-and-two-sample-tests-in-high-dimension-with-unknown-covariance-structure-2109.01730"/></url>
<url><loc>https://scifaro.com/en/abs/acceleration-method-for-learning-fine-layered-optical-neural-networks-2109.01731</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/acceleration-method-for-learning-fine-layered-optical-neural-networks-2109.01731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/acceleration-method-for-learning-fine-layered-optical-neural-networks-2109.01731"/></url>
<url><loc>https://scifaro.com/en/abs/cohort-characteristics-and-factors-associated-with-cannabis-use-among-adolescents-in-canada-using-pattern-discovery-and-disentanglement-method-2109.01739</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cohort-characteristics-and-factors-associated-with-cannabis-use-among-adolescents-in-canada-using-pattern-discovery-and-disentanglement-method-2109.01739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cohort-characteristics-and-factors-associated-with-cannabis-use-among-adolescents-in-canada-using-pattern-discovery-and-disentanglement-method-2109.01739"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-the-performance-of-online-students-new-data-new-approaches-improved-accuracy-2109.01753</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-the-performance-of-online-students-new-data-new-approaches-improved-accuracy-2109.01753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-the-performance-of-online-students-new-data-new-approaches-improved-accuracy-2109.01753"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-evaluation-of-attention-based-multi-head-models-for-improved-turbofan-engine-remaining-useful-life-prediction-2109.01761</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-attention-based-multi-head-models-for-improved-turbofan-engine-remaining-useful-life-prediction-2109.01761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-attention-based-multi-head-models-for-improved-turbofan-engine-remaining-useful-life-prediction-2109.01761"/></url>
<url><loc>https://scifaro.com/en/abs/eden-a-unified-environment-framework-for-booming-reinforcement-learning-algorithms-2109.01768</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eden-a-unified-environment-framework-for-booming-reinforcement-learning-algorithms-2109.01768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eden-a-unified-environment-framework-for-booming-reinforcement-learning-algorithms-2109.01768"/></url>
<url><loc>https://scifaro.com/en/abs/mlctr-a-fast-scalable-coupled-tensor-completion-based-on-multi-layer-non-linear-matrix-factorization-2109.01773</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mlctr-a-fast-scalable-coupled-tensor-completion-based-on-multi-layer-non-linear-matrix-factorization-2109.01773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mlctr-a-fast-scalable-coupled-tensor-completion-based-on-multi-layer-non-linear-matrix-factorization-2109.01773"/></url>
<url><loc>https://scifaro.com/en/abs/node-feature-kernels-increase-graph-convolutional-network-robustness-2109.01785</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-feature-kernels-increase-graph-convolutional-network-robustness-2109.01785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-feature-kernels-increase-graph-convolutional-network-robustness-2109.01785"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-permeability-of-3d-micro-ct-images-by-physics-informed-cnns-based-on-dns-2109.01818</loc><lastmod>2022-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-permeability-of-3d-micro-ct-images-by-physics-informed-cnns-based-on-dns-2109.01818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-permeability-of-3d-micro-ct-images-by-physics-informed-cnns-based-on-dns-2109.01818"/></url>
<url><loc>https://scifaro.com/en/abs/customer-360-degree-insights-in-predicting-chronic-diabetes-2109.01863</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/customer-360-degree-insights-in-predicting-chronic-diabetes-2109.01863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/customer-360-degree-insights-in-predicting-chronic-diabetes-2109.01863"/></url>
<url><loc>https://scifaro.com/en/abs/attentive-neural-controlled-differential-equations-for-time-series-classification-and-forecasting-2109.01876</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attentive-neural-controlled-differential-equations-for-time-series-classification-and-forecasting-2109.01876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attentive-neural-controlled-differential-equations-for-time-series-classification-and-forecasting-2109.01876"/></url>
<url><loc>https://scifaro.com/en/abs/barycentric-alignment-and-reconstruction-loss-minimization-for-domain-generalization-2109.01902</loc><lastmod>2023-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/barycentric-alignment-and-reconstruction-loss-minimization-for-domain-generalization-2109.01902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/barycentric-alignment-and-reconstruction-loss-minimization-for-domain-generalization-2109.01902"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-categorical-counterfactuals-via-deep-twin-networks-2109.01904</loc><lastmod>2023-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-categorical-counterfactuals-via-deep-twin-networks-2109.01904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-categorical-counterfactuals-via-deep-twin-networks-2109.01904"/></url>
<url><loc>https://scifaro.com/en/abs/training-graph-neural-networks-by-graphon-estimation-2109.01918</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-graph-neural-networks-by-graphon-estimation-2109.01918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-graph-neural-networks-by-graphon-estimation-2109.01918"/></url>
<url><loc>https://scifaro.com/en/abs/improving-joint-learning-of-chest-x-ray-and-radiology-report-by-word-region-alignment-2109.01949</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-joint-learning-of-chest-x-ray-and-radiology-report-by-word-region-alignment-2109.01949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-joint-learning-of-chest-x-ray-and-radiology-report-by-word-region-alignment-2109.01949"/></url>
<url><loc>https://scifaro.com/en/abs/training-meta-surrogate-model-for-transferable-adversarial-attack-2109.01983</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-meta-surrogate-model-for-transferable-adversarial-attack-2109.01983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-meta-surrogate-model-for-transferable-adversarial-attack-2109.01983"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-online-multi-source-domain-adaptation-2109.01996</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-online-multi-source-domain-adaptation-2109.01996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-online-multi-source-domain-adaptation-2109.01996"/></url>
<url><loc>https://scifaro.com/en/abs/cross-token-modeling-with-conditional-computation-2109.02008</loc><lastmod>2022-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-token-modeling-with-conditional-computation-2109.02008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-token-modeling-with-conditional-computation-2109.02008"/></url>
<url><loc>https://scifaro.com/en/abs/structural-optimization-makes-graph-classification-simpler-and-better-2109.02027</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structural-optimization-makes-graph-classification-simpler-and-better-2109.02027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structural-optimization-makes-graph-classification-simpler-and-better-2109.02027"/></url>
<url><loc>https://scifaro.com/en/abs/soft-hierarchical-graph-recurrent-networks-for-many-agent-partially-observable-environments-2109.02032</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-hierarchical-graph-recurrent-networks-for-many-agent-partially-observable-environments-2109.02032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-hierarchical-graph-recurrent-networks-for-many-agent-partially-observable-environments-2109.02032"/></url>
<url><loc>https://scifaro.com/en/abs/nas-ood-neural-architecture-search-for-out-of-distribution-generalization-2109.02038</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nas-ood-neural-architecture-search-for-out-of-distribution-generalization-2109.02038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nas-ood-neural-architecture-search-for-out-of-distribution-generalization-2109.02038"/></url>
<url><loc>https://scifaro.com/en/abs/global-local-item-embedding-for-temporal-set-prediction-2109.02074</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-local-item-embedding-for-temporal-set-prediction-2109.02074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-local-item-embedding-for-temporal-set-prediction-2109.02074"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-extrema-analysis-in-time-series-for-envelope-extraction-peak-detection-and-clustering-2109.02082</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-extrema-analysis-in-time-series-for-envelope-extraction-peak-detection-and-clustering-2109.02082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-extrema-analysis-in-time-series-for-envelope-extraction-peak-detection-and-clustering-2109.02082"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-promoting-quantization-with-bit-drop-for-minimizing-network-quantization-loss-2109.02100</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-promoting-quantization-with-bit-drop-for-minimizing-network-quantization-loss-2109.02100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-promoting-quantization-with-bit-drop-for-minimizing-network-quantization-loss-2109.02100"/></url>
<url><loc>https://scifaro.com/en/abs/vargan-variance-enforcing-network-enhanced-gan-2109.02117</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vargan-variance-enforcing-network-enhanced-gan-2109.02117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vargan-variance-enforcing-network-enhanced-gan-2109.02117"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-shift-reinforcement-learning-2109.02145</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-shift-reinforcement-learning-2109.02145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-shift-reinforcement-learning-2109.02145"/></url>
<url><loc>https://scifaro.com/en/abs/urban-fire-station-location-planning-using-predicted-demand-and-service-quality-index-2109.02160</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/urban-fire-station-location-planning-using-predicted-demand-and-service-quality-index-2109.02160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/urban-fire-station-location-planning-using-predicted-demand-and-service-quality-index-2109.02160"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-normalization-for-generative-adversarial-networks-2109.02235</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-normalization-for-generative-adversarial-networks-2109.02235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-normalization-for-generative-adversarial-networks-2109.02235"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-dkrc-with-images-for-offline-system-identification-2109.02241</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-dkrc-with-images-for-offline-system-identification-2109.02241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-dkrc-with-images-for-offline-system-identification-2109.02241"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-the-reproducibility-of-graph-neural-networks-using-multigraph-brain-data-2109.02248</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-the-reproducibility-of-graph-neural-networks-using-multigraph-brain-data-2109.02248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-the-reproducibility-of-graph-neural-networks-using-multigraph-brain-data-2109.02248"/></url>
<url><loc>https://scifaro.com/en/abs/fast-hypergraph-regularized-nonnegative-tensor-ring-factorization-based-on-low-rank-approximation-2109.02314</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-hypergraph-regularized-nonnegative-tensor-ring-factorization-based-on-low-rank-approximation-2109.02314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-hypergraph-regularized-nonnegative-tensor-ring-factorization-based-on-low-rank-approximation-2109.02314"/></url>
<url><loc>https://scifaro.com/en/abs/hindsight-reward-tweaking-via-conditional-deep-reinforcement-learning-2109.02332</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hindsight-reward-tweaking-via-conditional-deep-reinforcement-learning-2109.02332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hindsight-reward-tweaking-via-conditional-deep-reinforcement-learning-2109.02332"/></url>
<url><loc>https://scifaro.com/en/abs/f3-fair-and-federated-face-attribute-classification-with-heterogeneous-data-2109.02351</loc><lastmod>2022-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/f3-fair-and-federated-face-attribute-classification-with-heterogeneous-data-2109.02351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/f3-fair-and-federated-face-attribute-classification-with-heterogeneous-data-2109.02351"/></url>
<url><loc>https://scifaro.com/en/abs/pointspectrum-equivariance-meets-laplacian-filtering-for-graph-representation-learning-2109.02358</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pointspectrum-equivariance-meets-laplacian-filtering-for-graph-representation-learning-2109.02358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pointspectrum-equivariance-meets-laplacian-filtering-for-graph-representation-learning-2109.02358"/></url>
<url><loc>https://scifaro.com/en/abs/backdoor-attack-and-defense-for-deep-regression-2109.02381</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backdoor-attack-and-defense-for-deep-regression-2109.02381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backdoor-attack-and-defense-for-deep-regression-2109.02381"/></url>
<url><loc>https://scifaro.com/en/abs/on-second-order-optimization-methods-for-federated-learning-2109.02388</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-second-order-optimization-methods-for-federated-learning-2109.02388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-second-order-optimization-methods-for-federated-learning-2109.02388"/></url>
<url><loc>https://scifaro.com/en/abs/byzantine-robust-federated-learning-via-credibility-assessment-on-non-iid-data-2109.02396</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/byzantine-robust-federated-learning-via-credibility-assessment-on-non-iid-data-2109.02396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/byzantine-robust-federated-learning-via-credibility-assessment-on-non-iid-data-2109.02396"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-wind-turbine-wake-modeling-via-probabilistic-machine-learning-2109.02411</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-wind-turbine-wake-modeling-via-probabilistic-machine-learning-2109.02411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-wind-turbine-wake-modeling-via-probabilistic-machine-learning-2109.02411"/></url>
<url><loc>https://scifaro.com/en/abs/developing-and-validating-multi-modal-models-for-mortality-prediction-in-covid-19-patients-a-multi-center-retrospective-study-2109.02439</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/developing-and-validating-multi-modal-models-for-mortality-prediction-in-covid-19-patients-a-multi-center-retrospective-study-2109.02439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/developing-and-validating-multi-modal-models-for-mortality-prediction-in-covid-19-patients-a-multi-center-retrospective-study-2109.02439"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-monte-carlo-stochastic-optimization-most-to-deep-learning-2109.02441</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-monte-carlo-stochastic-optimization-most-to-deep-learning-2109.02441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-monte-carlo-stochastic-optimization-most-to-deep-learning-2109.02441"/></url>
<url><loc>https://scifaro.com/en/abs/parkinson-s-disease-diagnosis-based-on-gait-cycle-analysis-through-an-interpretable-interval-type-2-neuro-fuzzy-system-2109.02442</loc><lastmod>2022-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parkinson-s-disease-diagnosis-based-on-gait-cycle-analysis-through-an-interpretable-interval-type-2-neuro-fuzzy-system-2109.02442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parkinson-s-disease-diagnosis-based-on-gait-cycle-analysis-through-an-interpretable-interval-type-2-neuro-fuzzy-system-2109.02442"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-automated-visual-inspection-of-manufactured-products-2109.02469</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-automated-visual-inspection-of-manufactured-products-2109.02469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-automated-visual-inspection-of-manufactured-products-2109.02469"/></url>
<url><loc>https://scifaro.com/en/abs/traversenet-unifying-space-and-time-in-message-passing-for-traffic-forecasting-2109.02474</loc><lastmod>2022-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/traversenet-unifying-space-and-time-in-message-passing-for-traffic-forecasting-2109.02474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/traversenet-unifying-space-and-time-in-message-passing-for-traffic-forecasting-2109.02474"/></url>
<url><loc>https://scifaro.com/en/abs/severity-and-mortality-prediction-models-to-triage-indian-covid-19-patients-2109.02485</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/severity-and-mortality-prediction-models-to-triage-indian-covid-19-patients-2109.02485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/severity-and-mortality-prediction-models-to-triage-indian-covid-19-patients-2109.02485"/></url>
<url><loc>https://scifaro.com/en/abs/learning-interpretable-representations-of-entanglement-in-quantum-optics-experiments-using-deep-generative-models-2109.02490</loc><lastmod>2022-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-interpretable-representations-of-entanglement-in-quantum-optics-experiments-using-deep-generative-models-2109.02490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-interpretable-representations-of-entanglement-in-quantum-optics-experiments-using-deep-generative-models-2109.02490"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-privacy-guarantees-of-machine-learning-preprocessing-techniques-2109.02496</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-privacy-guarantees-of-machine-learning-preprocessing-techniques-2109.02496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-privacy-guarantees-of-machine-learning-preprocessing-techniques-2109.02496"/></url>
<url><loc>https://scifaro.com/en/abs/error-controlled-actor-critic-2109.02517</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-controlled-actor-critic-2109.02517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-controlled-actor-critic-2109.02517"/></url>
<url><loc>https://scifaro.com/en/abs/automated-robustness-with-adversarial-training-as-a-post-processing-step-2109.02532</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-robustness-with-adversarial-training-as-a-post-processing-step-2109.02532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-robustness-with-adversarial-training-as-a-post-processing-step-2109.02532"/></url>
<url><loc>https://scifaro.com/en/abs/neural-ensemble-search-via-bayesian-sampling-2109.02533</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-ensemble-search-via-bayesian-sampling-2109.02533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-ensemble-search-via-bayesian-sampling-2109.02533"/></url>
<url><loc>https://scifaro.com/en/abs/generation-of-synthetic-electronic-health-records-using-a-federated-gan-2109.02543</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generation-of-synthetic-electronic-health-records-using-a-federated-gan-2109.02543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generation-of-synthetic-electronic-health-records-using-a-federated-gan-2109.02543"/></url>
<url><loc>https://scifaro.com/en/abs/delving-into-macro-placement-with-reinforcement-learning-2109.02587</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delving-into-macro-placement-with-reinforcement-learning-2109.02587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delving-into-macro-placement-with-reinforcement-learning-2109.02587"/></url>
<url><loc>https://scifaro.com/en/abs/scikit-dimension-a-python-package-for-intrinsic-dimension-estimation-2109.02596</loc><lastmod>2023-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scikit-dimension-a-python-package-for-intrinsic-dimension-estimation-2109.02596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scikit-dimension-a-python-package-for-intrinsic-dimension-estimation-2109.02596"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-uniform-error-bounds-with-unknown-hyperparameters-for-safety-critical-applications-2109.02606</loc><lastmod>2022-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-uniform-error-bounds-with-unknown-hyperparameters-for-safety-critical-applications-2109.02606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-uniform-error-bounds-with-unknown-hyperparameters-for-safety-critical-applications-2109.02606"/></url>
<url><loc>https://scifaro.com/en/abs/esmamds-a-more-diverse-exceptional-survival-model-mining-approach-2109.02610</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/esmamds-a-more-diverse-exceptional-survival-model-mining-approach-2109.02610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/esmamds-a-more-diverse-exceptional-survival-model-mining-approach-2109.02610"/></url>
<url><loc>https://scifaro.com/en/abs/a-method-for-inferring-polymers-based-on-linear-regression-and-integer-programming-2109.02628</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-method-for-inferring-polymers-based-on-linear-regression-and-integer-programming-2109.02628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-method-for-inferring-polymers-based-on-linear-regression-and-integer-programming-2109.02628"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-deep-learning-approach-using-improved-generative-adversarial-networks-for-incomplete-information-completion-of-self-driving-2109.02629</loc><lastmod>2023-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-deep-learning-approach-using-improved-generative-adversarial-networks-for-incomplete-information-completion-of-self-driving-2109.02629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-deep-learning-approach-using-improved-generative-adversarial-networks-for-incomplete-information-completion-of-self-driving-2109.02629"/></url>
<url><loc>https://scifaro.com/en/abs/guiding-global-placement-with-reinforcement-learning-2109.02631</loc><lastmod>2021-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guiding-global-placement-with-reinforcement-learning-2109.02631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guiding-global-placement-with-reinforcement-learning-2109.02631"/></url>
<url><loc>https://scifaro.com/en/abs/backpropagation-and-fuzzy-algorithm-modelling-to-resolve-blood-supply-chain-issues-in-the-covid-19-pandemic-2109.02645</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backpropagation-and-fuzzy-algorithm-modelling-to-resolve-blood-supply-chain-issues-in-the-covid-19-pandemic-2109.02645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backpropagation-and-fuzzy-algorithm-modelling-to-resolve-blood-supply-chain-issues-in-the-covid-19-pandemic-2109.02645"/></url>
<url><loc>https://scifaro.com/en/abs/gen2out-detecting-and-ranking-generalized-anomalies-2109.02704</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gen2out-detecting-and-ranking-generalized-anomalies-2109.02704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gen2out-detecting-and-ranking-generalized-anomalies-2109.02704"/></url>
<url><loc>https://scifaro.com/en/abs/individual-mobility-prediction-via-attentive-marked-temporal-point-processes-2109.02715</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/individual-mobility-prediction-via-attentive-marked-temporal-point-processes-2109.02715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/individual-mobility-prediction-via-attentive-marked-temporal-point-processes-2109.02715"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-pseudo-labeling-with-deep-feature-annotation-and-confidence-based-sampling-2109.02717</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-pseudo-labeling-with-deep-feature-annotation-and-confidence-based-sampling-2109.02717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-pseudo-labeling-with-deep-feature-annotation-and-confidence-based-sampling-2109.02717"/></url>
<url><loc>https://scifaro.com/en/abs/bringing-a-ruler-into-the-black-box-uncovering-feature-impact-from-individual-conditional-expectation-plots-2109.02724</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bringing-a-ruler-into-the-black-box-uncovering-feature-impact-from-individual-conditional-expectation-plots-2109.02724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bringing-a-ruler-into-the-black-box-uncovering-feature-impact-from-individual-conditional-expectation-plots-2109.02724"/></url>
<url><loc>https://scifaro.com/en/abs/training-deep-networks-from-zero-to-hero-avoiding-pitfalls-and-going-beyond-2109.02752</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-deep-networks-from-zero-to-hero-avoiding-pitfalls-and-going-beyond-2109.02752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-deep-networks-from-zero-to-hero-avoiding-pitfalls-and-going-beyond-2109.02752"/></url>
<url><loc>https://scifaro.com/en/abs/puzzle-solving-without-search-or-human-knowledge-an-unnatural-language-approach-2109.02797</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/puzzle-solving-without-search-or-human-knowledge-an-unnatural-language-approach-2109.02797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/puzzle-solving-without-search-or-human-knowledge-an-unnatural-language-approach-2109.02797"/></url>
<url><loc>https://scifaro.com/en/abs/trojan-signatures-in-dnn-weights-2109.02836</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trojan-signatures-in-dnn-weights-2109.02836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trojan-signatures-in-dnn-weights-2109.02836"/></url>
<url><loc>https://scifaro.com/en/abs/refinement-of-hottopixx-method-for-nonnegative-matrix-factorization-under-noisy-separability-2109.02863</loc><lastmod>2023-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/refinement-of-hottopixx-method-for-nonnegative-matrix-factorization-under-noisy-separability-2109.02863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/refinement-of-hottopixx-method-for-nonnegative-matrix-factorization-under-noisy-separability-2109.02863"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-parameter-defense-by-multi-step-risk-minimization-2109.02889</loc><lastmod>2022-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-parameter-defense-by-multi-step-risk-minimization-2109.02889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-parameter-defense-by-multi-step-risk-minimization-2109.02889"/></url>
<url><loc>https://scifaro.com/en/abs/prescriptive-process-monitoring-under-resource-constraints-a-causal-inference-approach-2109.02894</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prescriptive-process-monitoring-under-resource-constraints-a-causal-inference-approach-2109.02894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prescriptive-process-monitoring-under-resource-constraints-a-causal-inference-approach-2109.02894"/></url>
<url><loc>https://scifaro.com/en/abs/scale-invariant-representation-of-machine-learning-2109.02914</loc><lastmod>2022-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scale-invariant-representation-of-machine-learning-2109.02914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scale-invariant-representation-of-machine-learning-2109.02914"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-learning-in-emotion-recognition-of-spontaneous-speech-using-a-siamese-neural-network-with-adaptive-sample-pair-formation-2109.02915</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-learning-in-emotion-recognition-of-spontaneous-speech-using-a-siamese-neural-network-with-adaptive-sample-pair-formation-2109.02915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-learning-in-emotion-recognition-of-spontaneous-speech-using-a-siamese-neural-network-with-adaptive-sample-pair-formation-2109.02915"/></url>
<url><loc>https://scifaro.com/en/abs/fishr-invariant-gradient-variances-for-out-of-distribution-generalization-2109.02934</loc><lastmod>2022-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fishr-invariant-gradient-variances-for-out-of-distribution-generalization-2109.02934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fishr-invariant-gradient-variances-for-out-of-distribution-generalization-2109.02934"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-admm-based-algorithms-for-convolutional-sparse-coding-2109.02969</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-admm-based-algorithms-for-convolutional-sparse-coding-2109.02969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-admm-based-algorithms-for-convolutional-sparse-coding-2109.02969"/></url>
<url><loc>https://scifaro.com/en/abs/bert-based-classification-system-for-detecting-rumours-on-twitter-2109.02975</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bert-based-classification-system-for-detecting-rumours-on-twitter-2109.02975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bert-based-classification-system-for-detecting-rumours-on-twitter-2109.02975"/></url>
<url><loc>https://scifaro.com/en/abs/semiparametric-bayesian-networks-2109.03008</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semiparametric-bayesian-networks-2109.03008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semiparametric-bayesian-networks-2109.03008"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-mood-disorder-symptoms-with-remotely-collected-videos-using-an-interpretable-multimodal-dynamic-attention-fusion-network-2109.03029</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-mood-disorder-symptoms-with-remotely-collected-videos-using-an-interpretable-multimodal-dynamic-attention-fusion-network-2109.03029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-mood-disorder-symptoms-with-remotely-collected-videos-using-an-interpretable-multimodal-dynamic-attention-fusion-network-2109.03029"/></url>
<url><loc>https://scifaro.com/en/abs/reconfigurable-co-processor-architecture-with-limited-numerical-precision-to-accelerate-deep-convolutional-neural-networks-2109.03040</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconfigurable-co-processor-architecture-with-limited-numerical-precision-to-accelerate-deep-convolutional-neural-networks-2109.03040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconfigurable-co-processor-architecture-with-limited-numerical-precision-to-accelerate-deep-convolutional-neural-networks-2109.03040"/></url>
<url><loc>https://scifaro.com/en/abs/early-icu-mortality-prediction-and-survival-analysis-for-respiratory-failure-2109.03048</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-icu-mortality-prediction-and-survival-analysis-for-respiratory-failure-2109.03048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-icu-mortality-prediction-and-survival-analysis-for-respiratory-failure-2109.03048"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-diagnosis-prediction-with-transformer-and-ontological-representation-2109.03069</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-diagnosis-prediction-with-transformer-and-ontological-representation-2109.03069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-diagnosis-prediction-with-transformer-and-ontological-representation-2109.03069"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-model-agnostic-random-subspace-ensembles-2109.03099</loc><lastmod>2023-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-model-agnostic-random-subspace-ensembles-2109.03099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-model-agnostic-random-subspace-ensembles-2109.03099"/></url>
<url><loc>https://scifaro.com/en/abs/ganser-a-self-supervised-data-augmentation-framework-for-eeg-based-emotion-recognition-2109.03124</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ganser-a-self-supervised-data-augmentation-framework-for-eeg-based-emotion-recognition-2109.03124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ganser-a-self-supervised-data-augmentation-framework-for-eeg-based-emotion-recognition-2109.03124"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-regularized-learning-in-banach-spaces-for-linear-functional-data-2109.03159</loc><lastmod>2025-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-regularized-learning-in-banach-spaces-for-linear-functional-data-2109.03159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-regularized-learning-in-banach-spaces-for-linear-functional-data-2109.03159"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-bid-in-contextual-first-price-auctions-2109.03173</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-bid-in-contextual-first-price-auctions-2109.03173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-bid-in-contextual-first-price-auctions-2109.03173"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-quantum-variational-circuits-with-deep-reinforcement-learning-2109.03188</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-quantum-variational-circuits-with-deep-reinforcement-learning-2109.03188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-quantum-variational-circuits-with-deep-reinforcement-learning-2109.03188"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-decentralized-adaptive-gradient-methods-2109.03194</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-decentralized-adaptive-gradient-methods-2109.03194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-decentralized-adaptive-gradient-methods-2109.03194"/></url>
<url><loc>https://scifaro.com/en/abs/coco-denoiser-using-co-coercivity-for-variance-reduction-in-stochastic-convex-optimization-2109.03207</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coco-denoiser-using-co-coercivity-for-variance-reduction-in-stochastic-convex-optimization-2109.03207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coco-denoiser-using-co-coercivity-for-variance-reduction-in-stochastic-convex-optimization-2109.03207"/></url>
<url><loc>https://scifaro.com/en/abs/robust-predictable-control-2109.03214</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-predictable-control-2109.03214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-predictable-control-2109.03214"/></url>
<url><loc>https://scifaro.com/en/abs/learning-fast-sample-re-weighting-without-reward-data-2109.03216</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-fast-sample-re-weighting-without-reward-data-2109.03216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-fast-sample-re-weighting-without-reward-data-2109.03216"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-recursive-least-squares-for-training-deep-neural-networks-2109.03220</loc><lastmod>2021-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-recursive-least-squares-for-training-deep-neural-networks-2109.03220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-recursive-least-squares-for-training-deep-neural-networks-2109.03220"/></url>
<url><loc>https://scifaro.com/en/abs/amazon-sagemaker-clarify-machine-learning-bias-detection-and-explainability-in-the-cloud-2109.03285</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amazon-sagemaker-clarify-machine-learning-bias-detection-and-explainability-in-the-cloud-2109.03285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amazon-sagemaker-clarify-machine-learning-bias-detection-and-explainability-in-the-cloud-2109.03285"/></url>
<url><loc>https://scifaro.com/en/abs/effective-and-interpretable-dispatching-rules-for-dynamic-job-shops-via-guided-empirical-learning-2109.03323</loc><lastmod>2022-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-and-interpretable-dispatching-rules-for-dynamic-job-shops-via-guided-empirical-learning-2109.03323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-and-interpretable-dispatching-rules-for-dynamic-job-shops-via-guided-empirical-learning-2109.03323"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-beyond-the-star-local-d2d-model-consensus-with-global-cluster-sampling-2109.03350</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-beyond-the-star-local-d2d-model-consensus-with-global-cluster-sampling-2109.03350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-beyond-the-star-local-d2d-model-consensus-with-global-cluster-sampling-2109.03350"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-space-of-coefficients-of-a-feed-forward-neural-network-2109.03362</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-space-of-coefficients-of-a-feed-forward-neural-network-2109.03362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-space-of-coefficients-of-a-feed-forward-neural-network-2109.03362"/></url>
<url><loc>https://scifaro.com/en/abs/on-characterizing-the-trade-off-in-invariant-representation-learning-2109.03386</loc><lastmod>2022-12-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-characterizing-the-trade-off-in-invariant-representation-learning-2109.03386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-characterizing-the-trade-off-in-invariant-representation-learning-2109.03386"/></url>
<url><loc>https://scifaro.com/en/abs/a-bayesian-learning-algorithm-for-unknown-zero-sum-stochastic-games-with-an-arbitrary-opponent-2109.03396</loc><lastmod>2024-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-bayesian-learning-algorithm-for-unknown-zero-sum-stochastic-games-with-an-arbitrary-opponent-2109.03396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-bayesian-learning-algorithm-for-unknown-zero-sum-stochastic-games-with-an-arbitrary-opponent-2109.03396"/></url>
<url><loc>https://scifaro.com/en/abs/computing-on-functions-using-randomized-vector-representations-2109.03429</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-on-functions-using-randomized-vector-representations-2109.03429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-on-functions-using-randomized-vector-representations-2109.03429"/></url>
<url><loc>https://scifaro.com/en/abs/a-clustering-aided-ensemble-method-for-predicting-ridesourcing-demand-in-chicago-2109.03433</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-clustering-aided-ensemble-method-for-predicting-ridesourcing-demand-in-chicago-2109.03433"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-clustering-aided-ensemble-method-for-predicting-ridesourcing-demand-in-chicago-2109.03433"/></url>
<url><loc>https://scifaro.com/en/abs/ader-adapting-between-exploration-and-robustness-for-actor-critic-methods-2109.03443</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ader-adapting-between-exploration-and-robustness-for-actor-critic-methods-2109.03443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ader-adapting-between-exploration-and-robustness-for-actor-critic-methods-2109.03443"/></url>
<url><loc>https://scifaro.com/en/abs/signal-domain-representation-of-symbolic-music-for-learning-embedding-spaces-2109.03454</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signal-domain-representation-of-symbolic-music-for-learning-embedding-spaces-2109.03454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signal-domain-representation-of-symbolic-music-for-learning-embedding-spaces-2109.03454"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-reinforcement-learning-approach-for-online-parcel-assignment-2109.03467</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-reinforcement-learning-approach-for-online-parcel-assignment-2109.03467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-reinforcement-learning-approach-for-online-parcel-assignment-2109.03467"/></url>
<url><loc>https://scifaro.com/en/abs/preprocessing-and-modeling-of-radial-fan-data-for-health-state-prediction-2109.03468</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preprocessing-and-modeling-of-radial-fan-data-for-health-state-prediction-2109.03468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preprocessing-and-modeling-of-radial-fan-data-for-health-state-prediction-2109.03468"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-preparing-data-of-industrial-processes-for-machine-learning-applications-2109.03469</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-preparing-data-of-industrial-processes-for-machine-learning-applications-2109.03469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-preparing-data-of-industrial-processes-for-machine-learning-applications-2109.03469"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-expected-calibration-errors-2109.03480</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-expected-calibration-errors-2109.03480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-expected-calibration-errors-2109.03480"/></url>
<url><loc>https://scifaro.com/en/abs/how-do-i-update-my-model-on-the-resilience-of-predictive-process-monitoring-models-to-change-2109.03501</loc><lastmod>2023-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-do-i-update-my-model-on-the-resilience-of-predictive-process-monitoring-models-to-change-2109.03501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-do-i-update-my-model-on-the-resilience-of-predictive-process-monitoring-models-to-change-2109.03501"/></url>
<url><loc>https://scifaro.com/en/abs/repnas-searching-for-efficient-re-parameterizing-blocks-2109.03508</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/repnas-searching-for-efficient-re-parameterizing-blocks-2109.03508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/repnas-searching-for-efficient-re-parameterizing-blocks-2109.03508"/></url>
<url><loc>https://scifaro.com/en/abs/deepalttrip-top-k-alternative-itineraries-for-trip-recommendation-2109.03535</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepalttrip-top-k-alternative-itineraries-for-trip-recommendation-2109.03535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepalttrip-top-k-alternative-itineraries-for-trip-recommendation-2109.03535"/></url>
<url><loc>https://scifaro.com/en/abs/x-goal-multiplex-heterogeneous-graph-prototypical-contrastive-learning-2109.03560</loc><lastmod>2022-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/x-goal-multiplex-heterogeneous-graph-prototypical-contrastive-learning-2109.03560"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/x-goal-multiplex-heterogeneous-graph-prototypical-contrastive-learning-2109.03560"/></url>
<url><loc>https://scifaro.com/en/abs/learn2agree-fitting-with-multiple-annotators-without-objective-ground-truth-2109.03596</loc><lastmod>2023-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn2agree-fitting-with-multiple-annotators-without-objective-ground-truth-2109.03596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn2agree-fitting-with-multiple-annotators-without-objective-ground-truth-2109.03596"/></url>
<url><loc>https://scifaro.com/en/abs/power-to-the-relational-inductive-bias-graph-neural-networks-in-electrical-power-grids-2109.03604</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-to-the-relational-inductive-bias-graph-neural-networks-in-electrical-power-grids-2109.03604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-to-the-relational-inductive-bias-graph-neural-networks-in-electrical-power-grids-2109.03604"/></url>
<url><loc>https://scifaro.com/en/abs/on-event-driven-knowledge-graph-completion-in-digital-factories-2109.03655</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-event-driven-knowledge-graph-completion-in-digital-factories-2109.03655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-event-driven-knowledge-graph-completion-in-digital-factories-2109.03655"/></url>
<url><loc>https://scifaro.com/en/abs/yahpo-gym-an-efficient-multi-objective-multi-fidelity-benchmark-for-hyperparameter-optimization-2109.03670</loc><lastmod>2022-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/yahpo-gym-an-efficient-multi-objective-multi-fidelity-benchmark-for-hyperparameter-optimization-2109.03670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/yahpo-gym-an-efficient-multi-objective-multi-fidelity-benchmark-for-hyperparameter-optimization-2109.03670"/></url>
<url><loc>https://scifaro.com/en/abs/ema-auditing-data-removal-from-trained-models-2109.03675</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ema-auditing-data-removal-from-trained-models-2109.03675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ema-auditing-data-removal-from-trained-models-2109.03675"/></url>
<url><loc>https://scifaro.com/en/abs/class-conditioned-domain-generalization-via-wasserstein-distributional-robust-optimization-2109.03676</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-conditioned-domain-generalization-via-wasserstein-distributional-robust-optimization-2109.03676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-conditioned-domain-generalization-via-wasserstein-distributional-robust-optimization-2109.03676"/></url>
<url><loc>https://scifaro.com/en/abs/sample-and-communication-efficient-decentralized-actor-critic-algorithms-with-finite-time-analysis-2109.03699</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-and-communication-efficient-decentralized-actor-critic-algorithms-with-finite-time-analysis-2109.03699"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-and-communication-efficient-decentralized-actor-critic-algorithms-with-finite-time-analysis-2109.03699"/></url>
<url><loc>https://scifaro.com/en/abs/self-explaining-variational-posterior-distributions-for-gaussian-process-models-2109.03708</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-explaining-variational-posterior-distributions-for-gaussian-process-models-2109.03708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-explaining-variational-posterior-distributions-for-gaussian-process-models-2109.03708"/></url>
<url><loc>https://scifaro.com/en/abs/speeding-up-pca-with-priming-2109.03709</loc><lastmod>2022-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speeding-up-pca-with-priming-2109.03709"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speeding-up-pca-with-priming-2109.03709"/></url>
<url><loc>https://scifaro.com/en/abs/multiscale-laplacian-learning-2109.03718</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiscale-laplacian-learning-2109.03718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiscale-laplacian-learning-2109.03718"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-alzheimer-s-disease-neurodegeneration-from-typical-brain-aging-using-machine-learning-2109.03723</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-alzheimer-s-disease-neurodegeneration-from-typical-brain-aging-using-machine-learning-2109.03723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-alzheimer-s-disease-neurodegeneration-from-typical-brain-aging-using-machine-learning-2109.03723"/></url>
<url><loc>https://scifaro.com/en/abs/conservative-policy-construction-using-variational-autoencoders-for-logged-data-with-missing-values-2109.03747</loc><lastmod>2022-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conservative-policy-construction-using-variational-autoencoders-for-logged-data-with-missing-values-2109.03747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conservative-policy-construction-using-variational-autoencoders-for-logged-data-with-missing-values-2109.03747"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-approach-for-deep-neural-networks-in-presence-of-label-noise-relabelling-and-filtering-instances-during-training-2109.03748</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-approach-for-deep-neural-networks-in-presence-of-label-noise-relabelling-and-filtering-instances-during-training-2109.03748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-approach-for-deep-neural-networks-in-presence-of-label-noise-relabelling-and-filtering-instances-during-training-2109.03748"/></url>
<url><loc>https://scifaro.com/en/abs/diagnostics-guided-explanation-generation-2109.03756</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diagnostics-guided-explanation-generation-2109.03756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diagnostics-guided-explanation-generation-2109.03756"/></url>
<url><loc>https://scifaro.com/en/abs/fedzkt-zero-shot-knowledge-transfer-towards-resource-constrained-federated-learning-with-heterogeneous-on-device-models-2109.03775</loc><lastmod>2022-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedzkt-zero-shot-knowledge-transfer-towards-resource-constrained-federated-learning-with-heterogeneous-on-device-models-2109.03775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedzkt-zero-shot-knowledge-transfer-towards-resource-constrained-federated-learning-with-heterogeneous-on-device-models-2109.03775"/></url>
<url><loc>https://scifaro.com/en/abs/highly-scalable-and-provably-accurate-classification-in-poincare-balls-2109.03781</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/highly-scalable-and-provably-accurate-classification-in-poincare-balls-2109.03781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/highly-scalable-and-provably-accurate-classification-in-poincare-balls-2109.03781"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-machine-learning-techniques-for-auto-labeling-of-video-audio-and-text-data-2109.03784</loc><lastmod>2021-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-machine-learning-techniques-for-auto-labeling-of-video-audio-and-text-data-2109.03784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-machine-learning-techniques-for-auto-labeling-of-video-audio-and-text-data-2109.03784"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-for-cooperative-multi-player-multi-armed-bandits-2109.03818</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-for-cooperative-multi-player-multi-armed-bandits-2109.03818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-for-cooperative-multi-player-multi-armed-bandits-2109.03818"/></url>
<url><loc>https://scifaro.com/en/abs/tom-leveraging-trend-of-the-observed-gradients-for-faster-convergence-2109.03820</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tom-leveraging-trend-of-the-observed-gradients-for-faster-convergence-2109.03820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tom-leveraging-trend-of-the-observed-gradients-for-faster-convergence-2109.03820"/></url>
<url><loc>https://scifaro.com/en/abs/sqrt-d-dimension-dependence-of-langevin-monte-carlo-2109.03839</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sqrt-d-dimension-dependence-of-langevin-monte-carlo-2109.03839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sqrt-d-dimension-dependence-of-langevin-monte-carlo-2109.03839"/></url>
<url><loc>https://scifaro.com/en/abs/local-augmentation-for-graph-neural-networks-2109.03856</loc><lastmod>2022-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-augmentation-for-graph-neural-networks-2109.03856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-augmentation-for-graph-neural-networks-2109.03856"/></url>
<url><loc>https://scifaro.com/en/abs/robust-optimal-classification-trees-against-adversarial-examples-2109.03857</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-optimal-classification-trees-against-adversarial-examples-2109.03857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-optimal-classification-trees-against-adversarial-examples-2109.03857"/></url>
<url><loc>https://scifaro.com/en/abs/juvenile-state-hypothesis-what-we-can-learn-from-lottery-ticket-hypothesis-researches-2109.03862</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/juvenile-state-hypothesis-what-we-can-learn-from-lottery-ticket-hypothesis-researches-2109.03862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/juvenile-state-hypothesis-what-we-can-learn-from-lottery-ticket-hypothesis-researches-2109.03862"/></url>
<url><loc>https://scifaro.com/en/abs/model-explanations-via-the-axiomatic-causal-lens-2109.03890</loc><lastmod>2024-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-explanations-via-the-axiomatic-causal-lens-2109.03890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-explanations-via-the-axiomatic-causal-lens-2109.03890"/></url>
<url><loc>https://scifaro.com/en/abs/sensix-bringing-mlops-and-multi-tenant-model-serving-to-sensory-edge-devices-2109.03947</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensix-bringing-mlops-and-multi-tenant-model-serving-to-sensory-edge-devices-2109.03947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensix-bringing-mlops-and-multi-tenant-model-serving-to-sensory-edge-devices-2109.03947"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-physics-of-particle-transport-via-transformers-2109.03951</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-physics-of-particle-transport-via-transformers-2109.03951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-physics-of-particle-transport-via-transformers-2109.03951"/></url>
<url><loc>https://scifaro.com/en/abs/sensitive-samples-revisited-detecting-neural-network-attacks-using-constraint-solvers-2109.03966</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensitive-samples-revisited-detecting-neural-network-attacks-using-constraint-solvers-2109.03966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensitive-samples-revisited-detecting-neural-network-attacks-using-constraint-solvers-2109.03966"/></url>
<url><loc>https://scifaro.com/en/abs/powergym-a-reinforcement-learning-environment-for-volt-var-control-in-power-distribution-systems-2109.03970</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/powergym-a-reinforcement-learning-environment-for-volt-var-control-in-power-distribution-systems-2109.03970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/powergym-a-reinforcement-learning-environment-for-volt-var-control-in-power-distribution-systems-2109.03970"/></url>
<url><loc>https://scifaro.com/en/abs/membership-inference-attacks-against-temporally-correlated-data-in-deep-reinforcement-learning-2109.03975</loc><lastmod>2022-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/membership-inference-attacks-against-temporally-correlated-data-in-deep-reinforcement-learning-2109.03975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/membership-inference-attacks-against-temporally-correlated-data-in-deep-reinforcement-learning-2109.03975"/></url>
<url><loc>https://scifaro.com/en/abs/generation-augmentation-and-alignment-a-pseudo-source-domain-based-method-for-source-free-domain-adaptation-2109.04015</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generation-augmentation-and-alignment-a-pseudo-source-domain-based-method-for-source-free-domain-adaptation-2109.04015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generation-augmentation-and-alignment-a-pseudo-source-domain-based-method-for-source-free-domain-adaptation-2109.04015"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-approximation-of-cooperative-heterogeneous-multi-agent-reinforcement-learning-marl-using-mean-field-control-mfc-2109.04024</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-approximation-of-cooperative-heterogeneous-multi-agent-reinforcement-learning-marl-using-mean-field-control-mfc-2109.04024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-approximation-of-cooperative-heterogeneous-multi-agent-reinforcement-learning-marl-using-mean-field-control-mfc-2109.04024"/></url>
<url><loc>https://scifaro.com/en/abs/bag-of-tricks-for-optimizing-transformer-efficiency-2109.04030</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bag-of-tricks-for-optimizing-transformer-efficiency-2109.04030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bag-of-tricks-for-optimizing-transformer-efficiency-2109.04030"/></url>
<url><loc>https://scifaro.com/en/abs/new-versions-of-gradient-temporal-difference-learning-2109.04033</loc><lastmod>2024-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-versions-of-gradient-temporal-difference-learning-2109.04033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-versions-of-gradient-temporal-difference-learning-2109.04033"/></url>
<url><loc>https://scifaro.com/en/abs/an-experimental-study-of-class-imbalance-in-federated-learning-2109.04094</loc><lastmod>2022-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-experimental-study-of-class-imbalance-in-federated-learning-2109.04094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-experimental-study-of-class-imbalance-in-federated-learning-2109.04094"/></url>
<url><loc>https://scifaro.com/en/abs/timetraveler-reinforcement-learning-for-temporal-knowledge-graph-forecasting-2109.04101</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/timetraveler-reinforcement-learning-for-temporal-knowledge-graph-forecasting-2109.04101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/timetraveler-reinforcement-learning-for-temporal-knowledge-graph-forecasting-2109.04101"/></url>
<url><loc>https://scifaro.com/en/abs/autosmart-an-efficient-and-automatic-machine-learning-framework-for-temporal-relational-data-2109.04115</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autosmart-an-efficient-and-automatic-machine-learning-framework-for-temporal-relational-data-2109.04115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autosmart-an-efficient-and-automatic-machine-learning-framework-for-temporal-relational-data-2109.04115"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-reinforcement-learning-with-independently-controllable-subgoals-2109.04150</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-reinforcement-learning-with-independently-controllable-subgoals-2109.04150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-reinforcement-learning-with-independently-controllable-subgoals-2109.04150"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-clustering-applications-to-multi-label-object-recognition-and-speaker-identification-2109.04160</loc><lastmod>2023-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-clustering-applications-to-multi-label-object-recognition-and-speaker-identification-2109.04160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-clustering-applications-to-multi-label-object-recognition-and-speaker-identification-2109.04160"/></url>
<url><loc>https://scifaro.com/en/abs/relating-graph-neural-networks-to-structural-causal-models-2109.04173</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relating-graph-neural-networks-to-structural-causal-models-2109.04173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relating-graph-neural-networks-to-structural-causal-models-2109.04173"/></url>
<url><loc>https://scifaro.com/en/abs/incentivizing-an-unknown-crowd-2109.04226</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incentivizing-an-unknown-crowd-2109.04226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incentivizing-an-unknown-crowd-2109.04226"/></url>
<url><loc>https://scifaro.com/en/abs/ecq-text-x-explainability-driven-quantization-for-low-bit-and-sparse-dnns-2109.04236</loc><lastmod>2024-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ecq-text-x-explainability-driven-quantization-for-low-bit-and-sparse-dnns-2109.04236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ecq-text-x-explainability-driven-quantization-for-low-bit-and-sparse-dnns-2109.04236"/></url>
<url><loc>https://scifaro.com/en/abs/metaxt-meta-cross-task-transfer-between-disparate-label-spaces-2109.04240</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metaxt-meta-cross-task-transfer-between-disparate-label-spaces-2109.04240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metaxt-meta-cross-task-transfer-between-disparate-label-spaces-2109.04240"/></url>
<url><loc>https://scifaro.com/en/abs/dae-discriminatory-auto-encoder-for-multivariate-time-series-anomaly-detection-in-air-transportation-2109.04247</loc><lastmod>2022-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dae-discriminatory-auto-encoder-for-multivariate-time-series-anomaly-detection-in-air-transportation-2109.04247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dae-discriminatory-auto-encoder-for-multivariate-time-series-anomaly-detection-in-air-transportation-2109.04247"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-reservoir-operations-using-long-short-term-memory-network-2109.04255</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-reservoir-operations-using-long-short-term-memory-network-2109.04255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-reservoir-operations-using-long-short-term-memory-network-2109.04255"/></url>
<url><loc>https://scifaro.com/en/abs/gnisi-a-graph-network-for-reconstructing-ising-models-from-multivariate-binarized-data-2109.04257</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gnisi-a-graph-network-for-reconstructing-ising-models-from-multivariate-binarized-data-2109.04257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gnisi-a-graph-network-for-reconstructing-ising-models-from-multivariate-binarized-data-2109.04257"/></url>
<url><loc>https://scifaro.com/en/abs/an-objective-function-for-order-preserving-hierarchical-clustering-2109.04266</loc><lastmod>2024-12-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-objective-function-for-order-preserving-hierarchical-clustering-2109.04266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-objective-function-for-order-preserving-hierarchical-clustering-2109.04266"/></url>
<url><loc>https://scifaro.com/en/abs/toward-a-perspectivist-turn-in-ground-truthing-for-predictive-computing-2109.04270</loc><lastmod>2023-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-a-perspectivist-turn-in-ground-truthing-for-predictive-computing-2109.04270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-a-perspectivist-turn-in-ground-truthing-for-predictive-computing-2109.04270"/></url>
<url><loc>https://scifaro.com/en/abs/nts-notears-learning-nonparametric-dbns-with-prior-knowledge-2109.04286</loc><lastmod>2023-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nts-notears-learning-nonparametric-dbns-with-prior-knowledge-2109.04286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nts-notears-learning-nonparametric-dbns-with-prior-knowledge-2109.04286"/></url>
<url><loc>https://scifaro.com/en/abs/energy-attack-on-transferring-adversarial-examples-2109.04300</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-attack-on-transferring-adversarial-examples-2109.04300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-attack-on-transferring-adversarial-examples-2109.04300"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-use-of-wasserstein-metric-in-topological-clustering-of-distributional-data-2109.04301</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-use-of-wasserstein-metric-in-topological-clustering-of-distributional-data-2109.04301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-use-of-wasserstein-metric-in-topological-clustering-of-distributional-data-2109.04301"/></url>
<url><loc>https://scifaro.com/en/abs/dae-pinn-a-physics-informed-neural-network-model-for-simulating-differential-algebraic-equations-with-application-to-power-networks-2109.04304</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dae-pinn-a-physics-informed-neural-network-model-for-simulating-differential-algebraic-equations-with-application-to-power-networks-2109.04304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dae-pinn-a-physics-informed-neural-network-model-for-simulating-differential-algebraic-equations-with-application-to-power-networks-2109.04304"/></url>
<url><loc>https://scifaro.com/en/abs/opirl-sample-efficient-off-policy-inverse-reinforcement-learning-via-distribution-matching-2109.04307</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opirl-sample-efficient-off-policy-inverse-reinforcement-learning-via-distribution-matching-2109.04307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opirl-sample-efficient-off-policy-inverse-reinforcement-learning-via-distribution-matching-2109.04307"/></url>
<url><loc>https://scifaro.com/en/abs/accounting-for-variations-in-speech-emotion-recognition-with-nonparametric-hierarchical-neural-network-2109.04316</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accounting-for-variations-in-speech-emotion-recognition-with-nonparametric-hierarchical-neural-network-2109.04316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accounting-for-variations-in-speech-emotion-recognition-with-nonparametric-hierarchical-neural-network-2109.04316"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-corporate-greenhouse-gas-emissions-via-machine-learning-2109.04318</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-corporate-greenhouse-gas-emissions-via-machine-learning-2109.04318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-corporate-greenhouse-gas-emissions-via-machine-learning-2109.04318"/></url>
<url><loc>https://scifaro.com/en/abs/discovery-of-new-multi-level-features-for-domain-generalization-via-knowledge-corruption-2109.04320</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovery-of-new-multi-level-features-for-domain-generalization-via-knowledge-corruption-2109.04320"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovery-of-new-multi-level-features-for-domain-generalization-via-knowledge-corruption-2109.04320"/></url>
<url><loc>https://scifaro.com/en/abs/neuralfmu-towards-structural-integration-of-fmus-into-neural-networks-2109.04351</loc><lastmod>2022-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuralfmu-towards-structural-integration-of-fmus-into-neural-networks-2109.04351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuralfmu-towards-structural-integration-of-fmus-into-neural-networks-2109.04351"/></url>
<url><loc>https://scifaro.com/en/abs/cross-dqn-cross-deep-q-network-for-ads-allocation-in-feed-2109.04353</loc><lastmod>2022-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-dqn-cross-deep-q-network-for-ads-allocation-in-feed-2109.04353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-dqn-cross-deep-q-network-for-ads-allocation-in-feed-2109.04353"/></url>
<url><loc>https://scifaro.com/en/abs/gradual-in-compatibility-of-fairness-criteria-2109.04399</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradual-in-compatibility-of-fairness-criteria-2109.04399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradual-in-compatibility-of-fairness-criteria-2109.04399"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-and-mitigating-test-time-failure-risks-via-model-agnostic-uncertainty-learning-2109.04432</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-and-mitigating-test-time-failure-risks-via-model-agnostic-uncertainty-learning-2109.04432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-and-mitigating-test-time-failure-risks-via-model-agnostic-uncertainty-learning-2109.04432"/></url>
<url><loc>https://scifaro.com/en/abs/fgot-graph-distances-based-on-filters-and-optimal-transport-2109.04442</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fgot-graph-distances-based-on-filters-and-optimal-transport-2109.04442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fgot-graph-distances-based-on-filters-and-optimal-transport-2109.04442"/></url>
<url><loc>https://scifaro.com/en/abs/sonic-a-sparse-neural-network-inference-accelerator-with-silicon-photonics-for-energy-efficient-deep-learning-2109.04459</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sonic-a-sparse-neural-network-inference-accelerator-with-silicon-photonics-for-energy-efficient-deep-learning-2109.04459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sonic-a-sparse-neural-network-inference-accelerator-with-silicon-photonics-for-energy-efficient-deep-learning-2109.04459"/></url>
<url><loc>https://scifaro.com/en/abs/neural-latents-benchmark-21-evaluating-latent-variable-models-of-neural-population-activity-2109.04463</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-latents-benchmark-21-evaluating-latent-variable-models-of-neural-population-activity-2109.04463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-latents-benchmark-21-evaluating-latent-variable-models-of-neural-population-activity-2109.04463"/></url>
<url><loc>https://scifaro.com/en/abs/mining-points-of-interest-via-address-embeddings-an-unsupervised-approach-2109.04467</loc><lastmod>2021-09-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-points-of-interest-via-address-embeddings-an-unsupervised-approach-2109.04467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-points-of-interest-via-address-embeddings-an-unsupervised-approach-2109.04467"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrapped-meta-learning-2109.04504</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrapped-meta-learning-2109.04504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrapped-meta-learning-2109.04504"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-causal-binary-concepts-discovery-with-vae-for-black-box-model-explanation-2109.04518</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-causal-binary-concepts-discovery-with-vae-for-black-box-model-explanation-2109.04518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-causal-binary-concepts-discovery-with-vae-for-black-box-model-explanation-2109.04518"/></url>
<url><loc>https://scifaro.com/en/abs/fedcon-a-contrastive-framework-for-federated-semi-supervised-learning-2109.04533</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedcon-a-contrastive-framework-for-federated-semi-supervised-learning-2109.04533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedcon-a-contrastive-framework-for-federated-semi-supervised-learning-2109.04533"/></url>
<url><loc>https://scifaro.com/en/abs/sedyt-a-general-framework-for-multi-step-event-forecasting-via-sequence-modeling-on-dynamic-entity-embeddings-2109.04550</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sedyt-a-general-framework-for-multi-step-event-forecasting-via-sequence-modeling-on-dynamic-entity-embeddings-2109.04550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sedyt-a-general-framework-for-multi-step-event-forecasting-via-sequence-modeling-on-dynamic-entity-embeddings-2109.04550"/></url>
<url><loc>https://scifaro.com/en/abs/feature-based-individual-fairness-in-k-clustering-2109.04554</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-based-individual-fairness-in-k-clustering-2109.04554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-based-individual-fairness-in-k-clustering-2109.04554"/></url>
<url><loc>https://scifaro.com/en/abs/tenet-temporal-cnn-with-attention-for-anomaly-detection-in-automotive-cyber-physical-systems-2109.04565</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tenet-temporal-cnn-with-attention-for-anomaly-detection-in-automotive-cyber-physical-systems-2109.04565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tenet-temporal-cnn-with-attention-for-anomaly-detection-in-automotive-cyber-physical-systems-2109.04565"/></url>
<url><loc>https://scifaro.com/en/abs/sanitais-unsupervised-data-augmentation-to-sanitize-trojaned-neural-networks-2109.04566</loc><lastmod>2022-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sanitais-unsupervised-data-augmentation-to-sanitize-trojaned-neural-networks-2109.04566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sanitais-unsupervised-data-augmentation-to-sanitize-trojaned-neural-networks-2109.04566"/></url>
<url><loc>https://scifaro.com/en/abs/deciphering-environmental-air-pollution-with-large-scale-city-data-2109.04572</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deciphering-environmental-air-pollution-with-large-scale-city-data-2109.04572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deciphering-environmental-air-pollution-with-large-scale-city-data-2109.04572"/></url>
<url><loc>https://scifaro.com/en/abs/spatially-focused-attack-against-spatiotemporal-graph-neural-networks-2109.04608</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatially-focused-attack-against-spatiotemporal-graph-neural-networks-2109.04608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatially-focused-attack-against-spatiotemporal-graph-neural-networks-2109.04608"/></url>
<url><loc>https://scifaro.com/en/abs/efficiently-identifying-task-groupings-for-multi-task-learning-2109.04617</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiently-identifying-task-groupings-for-multi-task-learning-2109.04617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiently-identifying-task-groupings-for-multi-task-learning-2109.04617"/></url>
<url><loc>https://scifaro.com/en/abs/relu-regression-with-massart-noise-2109.04623</loc><lastmod>2022-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relu-regression-with-massart-noise-2109.04623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relu-regression-with-massart-noise-2109.04623"/></url>
<url><loc>https://scifaro.com/en/abs/style-pooling-automatic-text-style-obfuscation-for-improved-classification-fairness-2109.04624</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/style-pooling-automatic-text-style-obfuscation-for-improved-classification-fairness-2109.04624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/style-pooling-automatic-text-style-obfuscation-for-improved-classification-fairness-2109.04624"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-pc-algorithm-with-reversed-order-pruning-and-a-parallelization-strategy-2109.04626</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-pc-algorithm-with-reversed-order-pruning-and-a-parallelization-strategy-2109.04626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-pc-algorithm-with-reversed-order-pruning-and-a-parallelization-strategy-2109.04626"/></url>
<url><loc>https://scifaro.com/en/abs/projected-state-action-balancing-weights-for-offline-reinforcement-learning-2109.04640</loc><lastmod>2022-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/projected-state-action-balancing-weights-for-offline-reinforcement-learning-2109.04640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/projected-state-action-balancing-weights-for-offline-reinforcement-learning-2109.04640"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-teach-with-student-feedback-2109.04641</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-teach-with-student-feedback-2109.04641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-teach-with-student-feedback-2109.04641"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-collective-intelligence-learning-finding-efficient-sparse-model-via-refined-gradients-for-pruned-weights-2109.04660</loc><lastmod>2023-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-collective-intelligence-learning-finding-efficient-sparse-model-via-refined-gradients-for-pruned-weights-2109.04660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-collective-intelligence-learning-finding-efficient-sparse-model-via-refined-gradients-for-pruned-weights-2109.04660"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-unsupervised-anomaly-detection-with-score-guided-network-2109.04684</loc><lastmod>2023-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-unsupervised-anomaly-detection-with-score-guided-network-2109.04684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-unsupervised-anomaly-detection-with-score-guided-network-2109.04684"/></url>
<url><loc>https://scifaro.com/en/abs/unfolding-projection-free-sdp-relaxation-of-binary-graph-classifier-via-gdpa-linearization-2109.04697</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unfolding-projection-free-sdp-relaxation-of-binary-graph-classifier-via-gdpa-linearization-2109.04697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unfolding-projection-free-sdp-relaxation-of-binary-graph-classifier-via-gdpa-linearization-2109.04697"/></url>
<url><loc>https://scifaro.com/en/abs/6mapnet-representing-soccer-players-from-tracking-data-by-a-triplet-network-2109.04720</loc><lastmod>2022-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/6mapnet-representing-soccer-players-from-tracking-data-by-a-triplet-network-2109.04720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/6mapnet-representing-soccer-players-from-tracking-data-by-a-triplet-network-2109.04720"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-adversarial-learning-with-representation-interpolation-2109.04746</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-adversarial-learning-with-representation-interpolation-2109.04746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-adversarial-learning-with-representation-interpolation-2109.04746"/></url>
<url><loc>https://scifaro.com/en/abs/multi-label-classification-of-aircraft-heading-changes-using-neural-network-to-resolve-conflicts-2109.04767</loc><lastmod>2022-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-label-classification-of-aircraft-heading-changes-using-neural-network-to-resolve-conflicts-2109.04767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-label-classification-of-aircraft-heading-changes-using-neural-network-to-resolve-conflicts-2109.04767"/></url>
<url><loc>https://scifaro.com/en/abs/mesh-convolutional-neural-networks-for-wall-shear-stress-estimation-in-3d-artery-models-2109.04797</loc><lastmod>2022-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mesh-convolutional-neural-networks-for-wall-shear-stress-estimation-in-3d-artery-models-2109.04797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mesh-convolutional-neural-networks-for-wall-shear-stress-estimation-in-3d-artery-models-2109.04797"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-design-of-3d-molecular-structures-with-conditional-generative-neural-networks-2109.04824</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-design-of-3d-molecular-structures-with-conditional-generative-neural-networks-2109.04824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-design-of-3d-molecular-structures-with-conditional-generative-neural-networks-2109.04824"/></url>
<url><loc>https://scifaro.com/en/abs/simulating-the-effects-of-eco-friendly-transportation-selections-for-air-pollution-reduction-2109.04831</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulating-the-effects-of-eco-friendly-transportation-selections-for-air-pollution-reduction-2109.04831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulating-the-effects-of-eco-friendly-transportation-selections-for-air-pollution-reduction-2109.04831"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-federated-learning-on-iot-data-2109.04833</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-federated-learning-on-iot-data-2109.04833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-federated-learning-on-iot-data-2109.04833"/></url>
<url><loc>https://scifaro.com/en/abs/block-pruning-for-faster-transformers-2109.04838</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-pruning-for-faster-transformers-2109.04838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-pruning-for-faster-transformers-2109.04838"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-modeling-of-the-human-cardiovascular-system-using-neuralfmus-2109.04880</loc><lastmod>2021-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-modeling-of-the-human-cardiovascular-system-using-neuralfmus-2109.04880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-modeling-of-the-human-cardiovascular-system-using-neuralfmus-2109.04880"/></url>
<url><loc>https://scifaro.com/en/abs/prock-machine-learning-for-knowledge-intensive-processes-2109.04881</loc><lastmod>2022-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prock-machine-learning-for-knowledge-intensive-processes-2109.04881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prock-machine-learning-for-knowledge-intensive-processes-2109.04881"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-model-architecture-adaption-for-meta-learning-2109.04925</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-model-architecture-adaption-for-meta-learning-2109.04925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-model-architecture-adaption-for-meta-learning-2109.04925"/></url>
<url><loc>https://scifaro.com/en/abs/saliency-guided-experience-packing-for-replay-in-continual-learning-2109.04954</loc><lastmod>2022-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/saliency-guided-experience-packing-for-replay-in-continual-learning-2109.04954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/saliency-guided-experience-packing-for-replay-in-continual-learning-2109.04954"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-joint-graph-inference-and-forecasting-2109.04979</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-joint-graph-inference-and-forecasting-2109.04979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-joint-graph-inference-and-forecasting-2109.04979"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-tangent-kernel-perspective-of-infinite-tree-ensembles-2109.04983</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-tangent-kernel-perspective-of-infinite-tree-ensembles-2109.04983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-tangent-kernel-perspective-of-infinite-tree-ensembles-2109.04983"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-without-the-sensitive-attribute-via-causal-variational-autoencoder-2109.04999</loc><lastmod>2022-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-without-the-sensitive-attribute-via-causal-variational-autoencoder-2109.04999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-without-the-sensitive-attribute-via-causal-variational-autoencoder-2109.04999"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-the-quality-of-the-datasets-by-identifying-mislabeled-samples-2109.05000</loc><lastmod>2021-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-the-quality-of-the-datasets-by-identifying-mislabeled-samples-2109.05000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-the-quality-of-the-datasets-by-identifying-mislabeled-samples-2109.05000"/></url>
<url><loc>https://scifaro.com/en/abs/pwpae-an-ensemble-framework-for-concept-drift-adaptation-in-iot-data-streams-2109.05013</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pwpae-an-ensemble-framework-for-concept-drift-adaptation-in-iot-data-streams-2109.05013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pwpae-an-ensemble-framework-for-concept-drift-adaptation-in-iot-data-streams-2109.05013"/></url>
<url><loc>https://scifaro.com/en/abs/potential-based-reward-shaping-in-sokoban-2109.05022</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/potential-based-reward-shaping-in-sokoban-2109.05022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/potential-based-reward-shaping-in-sokoban-2109.05022"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-a-domestic-battery-and-solar-photovoltaic-system-with-deep-reinforcement-learning-2109.05024</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-a-domestic-battery-and-solar-photovoltaic-system-with-deep-reinforcement-learning-2109.05024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-a-domestic-battery-and-solar-photovoltaic-system-with-deep-reinforcement-learning-2109.05024"/></url>
<url><loc>https://scifaro.com/en/abs/physics-based-machine-learning-for-modeling-stochastic-ip3-dependent-calcium-dynamics-2109.05053</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-based-machine-learning-for-modeling-stochastic-ip3-dependent-calcium-dynamics-2109.05053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-based-machine-learning-for-modeling-stochastic-ip3-dependent-calcium-dynamics-2109.05053"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-compression-of-neural-networks-using-ell-0-norm-regularization-and-weight-pruning-2109.05075</loc><lastmod>2023-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-compression-of-neural-networks-using-ell-0-norm-regularization-and-weight-pruning-2109.05075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-compression-of-neural-networks-using-ell-0-norm-regularization-and-weight-pruning-2109.05075"/></url>
<url><loc>https://scifaro.com/en/abs/global-and-local-interpretation-of-black-box-machine-learning-models-to-determine-prognostic-factors-from-early-covid-19-data-2109.05087</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-and-local-interpretation-of-black-box-machine-learning-models-to-determine-prognostic-factors-from-early-covid-19-data-2109.05087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-and-local-interpretation-of-black-box-machine-learning-models-to-determine-prognostic-factors-from-early-covid-19-data-2109.05087"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-adversarial-koopman-model-for-dynamical-systems-2109.05095</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-adversarial-koopman-model-for-dynamical-systems-2109.05095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-adversarial-koopman-model-for-dynamical-systems-2109.05095"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-reveals-how-personalized-climate-communication-can-both-succeed-and-backfire-2109.05104</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-reveals-how-personalized-climate-communication-can-both-succeed-and-backfire-2109.05104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-reveals-how-personalized-climate-communication-can-both-succeed-and-backfire-2109.05104"/></url>
<url><loc>https://scifaro.com/en/abs/toward-communication-efficient-adaptive-gradient-method-2109.05109</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-communication-efficient-adaptive-gradient-method-2109.05109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-communication-efficient-adaptive-gradient-method-2109.05109"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-comparison-of-off-policy-prediction-learning-algorithms-in-the-four-rooms-environment-2109.05110</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-comparison-of-off-policy-prediction-learning-algorithms-in-the-four-rooms-environment-2109.05110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-comparison-of-off-policy-prediction-learning-algorithms-in-the-four-rooms-environment-2109.05110"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-intrinsic-measure-of-data-separability-2109.05180</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-intrinsic-measure-of-data-separability-2109.05180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-intrinsic-measure-of-data-separability-2109.05180"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-adaptive-scaled-algorithm-for-machine-learning-using-second-order-information-2109.05198</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-adaptive-scaled-algorithm-for-machine-learning-using-second-order-information-2109.05198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-adaptive-scaled-algorithm-for-machine-learning-using-second-order-information-2109.05198"/></url>
<url><loc>https://scifaro.com/en/abs/2-in-1-accelerator-enabling-random-precision-switch-for-winning-both-adversarial-robustness-and-efficiency-2109.05223</loc><lastmod>2025-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/2-in-1-accelerator-enabling-random-precision-switch-for-winning-both-adversarial-robustness-and-efficiency-2109.05223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/2-in-1-accelerator-enabling-random-precision-switch-for-winning-both-adversarial-robustness-and-efficiency-2109.05223"/></url>
<url><loc>https://scifaro.com/en/abs/space-meets-time-local-spacetime-neural-network-for-traffic-flow-forecasting-2109.05225</loc><lastmod>2022-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/space-meets-time-local-spacetime-neural-network-for-traffic-flow-forecasting-2109.05225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/space-meets-time-local-spacetime-neural-network-for-traffic-flow-forecasting-2109.05225"/></url>
<url><loc>https://scifaro.com/en/abs/physics-based-deep-learning-2109.05237</loc><lastmod>2025-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-based-deep-learning-2109.05237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-based-deep-learning-2109.05237"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-rigorous-evaluation-of-time-series-anomaly-detection-2109.05257</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-rigorous-evaluation-of-time-series-anomaly-detection-2109.05257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-rigorous-evaluation-of-time-series-anomaly-detection-2109.05257"/></url>
<url><loc>https://scifaro.com/en/abs/utility-fairness-for-the-differentially-private-federated-learning-2109.05267</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/utility-fairness-for-the-differentially-private-federated-learning-2109.05267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/utility-fairness-for-the-differentially-private-federated-learning-2109.05267"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-describe-player-form-in-the-mlb-2109.05280</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-describe-player-form-in-the-mlb-2109.05280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-describe-player-form-in-the-mlb-2109.05280"/></url>
<url><loc>https://scifaro.com/en/abs/hyp-abc-a-novel-automated-hyper-parameter-tuning-algorithm-using-evolutionary-optimization-2109.05319</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyp-abc-a-novel-automated-hyper-parameter-tuning-algorithm-using-evolutionary-optimization-2109.05319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyp-abc-a-novel-automated-hyper-parameter-tuning-algorithm-using-evolutionary-optimization-2109.05319"/></url>
<url><loc>https://scifaro.com/en/abs/remaining-useful-life-estimation-of-hard-disk-drives-using-bidirectional-lstm-networks-2109.05351</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/remaining-useful-life-estimation-of-hard-disk-drives-using-bidirectional-lstm-networks-2109.05351"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/remaining-useful-life-estimation-of-hard-disk-drives-using-bidirectional-lstm-networks-2109.05351"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-network-reliability-analysis-methodology-and-applications-to-power-grid-2109.05360</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-network-reliability-analysis-methodology-and-applications-to-power-grid-2109.05360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-network-reliability-analysis-methodology-and-applications-to-power-grid-2109.05360"/></url>
<url><loc>https://scifaro.com/en/abs/structure-preserving-sparse-identification-of-nonlinear-dynamics-for-data-driven-modeling-2109.05364</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-preserving-sparse-identification-of-nonlinear-dynamics-for-data-driven-modeling-2109.05364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-preserving-sparse-identification-of-nonlinear-dynamics-for-data-driven-modeling-2109.05364"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-initial-behavior-monitoring-issues-in-federated-learning-2109.05385</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-initial-behavior-monitoring-issues-in-federated-learning-2109.05385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-initial-behavior-monitoring-issues-in-federated-learning-2109.05385"/></url>
<url><loc>https://scifaro.com/en/abs/omnipredictors-2109.05389</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/omnipredictors-2109.05389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/omnipredictors-2109.05389"/></url>
<url><loc>https://scifaro.com/en/abs/cost-effective-federated-learning-in-mobile-edge-networks-2109.05411</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cost-effective-federated-learning-in-mobile-edge-networks-2109.05411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cost-effective-federated-learning-in-mobile-edge-networks-2109.05411"/></url>
<url><loc>https://scifaro.com/en/abs/emvlight-a-decentralized-reinforcement-learning-framework-for-efficient-passage-of-emergency-vehicles-2109.05429</loc><lastmod>2022-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emvlight-a-decentralized-reinforcement-learning-framework-for-efficient-passage-of-emergency-vehicles-2109.05429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emvlight-a-decentralized-reinforcement-learning-framework-for-efficient-passage-of-emergency-vehicles-2109.05429"/></url>
<url><loc>https://scifaro.com/en/abs/concave-utility-reinforcement-learning-with-zero-constraint-violations-2109.05439</loc><lastmod>2023-11-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concave-utility-reinforcement-learning-with-zero-constraint-violations-2109.05439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concave-utility-reinforcement-learning-with-zero-constraint-violations-2109.05439"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-prediction-using-triangular-type-2-fuzzy-linear-regression-2109.05461</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-prediction-using-triangular-type-2-fuzzy-linear-regression-2109.05461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-prediction-using-triangular-type-2-fuzzy-linear-regression-2109.05461"/></url>
<url><loc>https://scifaro.com/en/abs/logic-traps-in-evaluating-attribution-scores-2109.05463</loc><lastmod>2023-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logic-traps-in-evaluating-attribution-scores-2109.05463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logic-traps-in-evaluating-attribution-scores-2109.05463"/></url>
<url><loc>https://scifaro.com/en/abs/feature-importance-in-gradient-boosting-trees-with-cross-validation-feature-selection-2109.05468</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-importance-in-gradient-boosting-trees-with-cross-validation-feature-selection-2109.05468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-importance-in-gradient-boosting-trees-with-cross-validation-feature-selection-2109.05468"/></url>
<url><loc>https://scifaro.com/en/abs/compute-and-energy-consumption-trends-in-deep-learning-inference-2109.05472</loc><lastmod>2023-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compute-and-energy-consumption-trends-in-deep-learning-inference-2109.05472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compute-and-energy-consumption-trends-in-deep-learning-inference-2109.05472"/></url>
<url><loc>https://scifaro.com/en/abs/hyar-addressing-discrete-continuous-action-reinforcement-learning-via-hybrid-action-representation-2109.05490</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyar-addressing-discrete-continuous-action-reinforcement-learning-via-hybrid-action-representation-2109.05490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyar-addressing-discrete-continuous-action-reinforcement-learning-via-hybrid-action-representation-2109.05490"/></url>
<url><loc>https://scifaro.com/en/abs/dynstgat-dynamic-spatial-temporal-graph-attention-network-for-traffic-signal-control-2109.05491</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynstgat-dynamic-spatial-temporal-graph-attention-network-for-traffic-signal-control-2109.05491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynstgat-dynamic-spatial-temporal-graph-attention-network-for-traffic-signal-control-2109.05491"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-representation-learning-with-closed-form-solvers-2109.05535</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-representation-learning-with-closed-form-solvers-2109.05535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-representation-learning-with-closed-form-solvers-2109.05535"/></url>
<url><loc>https://scifaro.com/en/abs/improved-algorithms-for-misspecified-linear-markov-decision-processes-2109.05546</loc><lastmod>2022-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-algorithms-for-misspecified-linear-markov-decision-processes-2109.05546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-algorithms-for-misspecified-linear-markov-decision-processes-2109.05546"/></url>
<url><loc>https://scifaro.com/en/abs/federated-ensemble-model-based-reinforcement-learning-in-edge-computing-2109.05549</loc><lastmod>2023-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-ensemble-model-based-reinforcement-learning-in-edge-computing-2109.05549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-ensemble-model-based-reinforcement-learning-in-edge-computing-2109.05549"/></url>
<url><loc>https://scifaro.com/en/abs/no-true-state-of-the-art-ood-detection-methods-are-inconsistent-across-datasets-2109.05554</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-true-state-of-the-art-ood-detection-methods-are-inconsistent-across-datasets-2109.05554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-true-state-of-the-art-ood-detection-methods-are-inconsistent-across-datasets-2109.05554"/></url>
<url><loc>https://scifaro.com/en/abs/cog-a-two-view-co-training-framework-for-defending-adversarial-attacks-on-graph-2109.05558</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cog-a-two-view-co-training-framework-for-defending-adversarial-attacks-on-graph-2109.05558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cog-a-two-view-co-training-framework-for-defending-adversarial-attacks-on-graph-2109.05558"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-naval-architecture-ocean-and-marine-engineering-2109.05574</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-naval-architecture-ocean-and-marine-engineering-2109.05574"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-naval-architecture-ocean-and-marine-engineering-2109.05574"/></url>
<url><loc>https://scifaro.com/en/abs/data-analytics-for-smart-cities-challenges-and-promises-2109.05581</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-analytics-for-smart-cities-challenges-and-promises-2109.05581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-analytics-for-smart-cities-challenges-and-promises-2109.05581"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-efficiency-of-subclass-knowledge-distillation-in-classification-tasks-2109.05587</loc><lastmod>2022-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-efficiency-of-subclass-knowledge-distillation-in-classification-tasks-2109.05587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-efficiency-of-subclass-knowledge-distillation-in-classification-tasks-2109.05587"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-handwritten-mathematical-terms-with-sensor-based-data-2109.05594</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-handwritten-mathematical-terms-with-sensor-based-data-2109.05594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-handwritten-mathematical-terms-with-sensor-based-data-2109.05594"/></url>
<url><loc>https://scifaro.com/en/abs/fedtrinet-a-pseudo-labeling-method-with-three-players-for-federated-semi-supervised-learning-2109.05612</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedtrinet-a-pseudo-labeling-method-with-three-players-for-federated-semi-supervised-learning-2109.05612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedtrinet-a-pseudo-labeling-method-with-three-players-for-federated-semi-supervised-learning-2109.05612"/></url>
<url><loc>https://scifaro.com/en/abs/critical-learning-periods-in-federated-learning-2109.05613</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/critical-learning-periods-in-federated-learning-2109.05613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/critical-learning-periods-in-federated-learning-2109.05613"/></url>
<url><loc>https://scifaro.com/en/abs/mixing-between-the-cross-entropy-and-the-expectation-loss-terms-2109.05635</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixing-between-the-cross-entropy-and-the-expectation-loss-terms-2109.05635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixing-between-the-cross-entropy-and-the-expectation-loss-terms-2109.05635"/></url>
<url><loc>https://scifaro.com/en/abs/is-heterophily-a-real-nightmare-for-graph-neural-networks-to-do-node-classification-2109.05641</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-heterophily-a-real-nightmare-for-graph-neural-networks-to-do-node-classification-2109.05641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-heterophily-a-real-nightmare-for-graph-neural-networks-to-do-node-classification-2109.05641"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-impact-of-spurious-correlation-for-out-of-distribution-detection-2109.05642</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-impact-of-spurious-correlation-for-out-of-distribution-detection-2109.05642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-impact-of-spurious-correlation-for-out-of-distribution-detection-2109.05642"/></url>
<url><loc>https://scifaro.com/en/abs/training-fair-models-in-federated-learning-without-data-privacy-infringement-2109.05662</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-fair-models-in-federated-learning-without-data-privacy-infringement-2109.05662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-fair-models-in-federated-learning-without-data-privacy-infringement-2109.05662"/></url>
<url><loc>https://scifaro.com/en/abs/ami-fml-a-privacy-preserving-federated-machine-learning-framework-for-ami-2109.05666</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ami-fml-a-privacy-preserving-federated-machine-learning-framework-for-ami-2109.05666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ami-fml-a-privacy-preserving-federated-machine-learning-framework-for-ami-2109.05666"/></url>
<url><loc>https://scifaro.com/en/abs/radars-memory-efficient-reinforcement-learning-aided-differentiable-neural-architecture-search-2109.05691</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/radars-memory-efficient-reinforcement-learning-aided-differentiable-neural-architecture-search-2109.05691"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/radars-memory-efficient-reinforcement-learning-aided-differentiable-neural-architecture-search-2109.05691"/></url>
<url><loc>https://scifaro.com/en/abs/finding-representative-group-fairness-metrics-using-correlation-estimations-2109.05697</loc><lastmod>2023-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-representative-group-fairness-metrics-using-correlation-estimations-2109.05697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-representative-group-fairness-metrics-using-correlation-estimations-2109.05697"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-heterogeneity-in-robust-federated-best-arm-identification-2109.05700</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-heterogeneity-in-robust-federated-best-arm-identification-2109.05700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-heterogeneity-in-robust-federated-best-arm-identification-2109.05700"/></url>
<url><loc>https://scifaro.com/en/abs/applications-of-recurrent-neural-network-for-biometric-authentication-anomaly-detection-2109.05701</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applications-of-recurrent-neural-network-for-biometric-authentication-anomaly-detection-2109.05701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applications-of-recurrent-neural-network-for-biometric-authentication-anomaly-detection-2109.05701"/></url>
<url><loc>https://scifaro.com/en/abs/robust-stability-of-neural-network-controlled-nonlinear-systems-with-parametric-variability-2109.05710</loc><lastmod>2022-09-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-stability-of-neural-network-controlled-nonlinear-systems-with-parametric-variability-2109.05710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-stability-of-neural-network-controlled-nonlinear-systems-with-parametric-variability-2109.05710"/></url>
<url><loc>https://scifaro.com/en/abs/region-invariant-normalizing-flows-for-mobility-transfer-2109.05738</loc><lastmod>2022-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/region-invariant-normalizing-flows-for-mobility-transfer-2109.05738"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/region-invariant-normalizing-flows-for-mobility-transfer-2109.05738"/></url>
<url><loc>https://scifaro.com/en/abs/gradts-a-gradient-based-automatic-auxiliary-task-selection-method-based-on-transformer-networks-2109.05748</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradts-a-gradient-based-automatic-auxiliary-task-selection-method-based-on-transformer-networks-2109.05748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradts-a-gradient-based-automatic-auxiliary-task-selection-method-based-on-transformer-networks-2109.05748"/></url>
<url><loc>https://scifaro.com/en/abs/dha-end-to-end-joint-optimization-of-data-augmentation-policy-hyper-parameter-and-architecture-2109.05765</loc><lastmod>2023-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dha-end-to-end-joint-optimization-of-data-augmentation-policy-hyper-parameter-and-architecture-2109.05765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dha-end-to-end-joint-optimization-of-data-augmentation-policy-hyper-parameter-and-architecture-2109.05765"/></url>
<url><loc>https://scifaro.com/en/abs/fast-variational-autoencoder-with-inverted-multi-index-for-collaborative-filtering-2109.05773</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-variational-autoencoder-with-inverted-multi-index-for-collaborative-filtering-2109.05773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-variational-autoencoder-with-inverted-multi-index-for-collaborative-filtering-2109.05773"/></url>
<url><loc>https://scifaro.com/en/abs/discern-discovering-counterfactual-explanations-using-relevance-features-from-neighbourhoods-2109.05800</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discern-discovering-counterfactual-explanations-using-relevance-features-from-neighbourhoods-2109.05800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discern-discovering-counterfactual-explanations-using-relevance-features-from-neighbourhoods-2109.05800"/></url>
<url><loc>https://scifaro.com/en/abs/zeroth-order-non-convex-learning-via-hierarchical-dual-averaging-2109.05829</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zeroth-order-non-convex-learning-via-hierarchical-dual-averaging-2109.05829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zeroth-order-non-convex-learning-via-hierarchical-dual-averaging-2109.05829"/></url>
<url><loc>https://scifaro.com/en/abs/process-discovery-using-graph-neural-networks-2109.05835</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/process-discovery-using-graph-neural-networks-2109.05835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/process-discovery-using-graph-neural-networks-2109.05835"/></url>
<url><loc>https://scifaro.com/en/abs/on-solving-a-stochastic-shortest-path-markov-decision-process-as-probabilistic-inference-2109.05866</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-solving-a-stochastic-shortest-path-markov-decision-process-as-probabilistic-inference-2109.05866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-solving-a-stochastic-shortest-path-markov-decision-process-as-probabilistic-inference-2109.05866"/></url>
<url><loc>https://scifaro.com/en/abs/byzantine-robust-federated-learning-through-collaborative-malicious-gradient-filtering-2109.05872</loc><lastmod>2023-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/byzantine-robust-federated-learning-through-collaborative-malicious-gradient-filtering-2109.05872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/byzantine-robust-federated-learning-through-collaborative-malicious-gradient-filtering-2109.05872"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-deep-learning-representations-by-tracing-the-training-process-2109.05880</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-deep-learning-representations-by-tracing-the-training-process-2109.05880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-deep-learning-representations-by-tracing-the-training-process-2109.05880"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-of-optimally-diverse-rankings-2109.05899</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-of-optimally-diverse-rankings-2109.05899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-of-optimally-diverse-rankings-2109.05899"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-systems-with-machine-learning-based-differential-equations-2109.05935</loc><lastmod>2022-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-systems-with-machine-learning-based-differential-equations-2109.05935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-systems-with-machine-learning-based-differential-equations-2109.05935"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-guided-memetic-framework-for-graph-coloring-problems-2109.05948</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-guided-memetic-framework-for-graph-coloring-problems-2109.05948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-guided-memetic-framework-for-graph-coloring-problems-2109.05948"/></url>
<url><loc>https://scifaro.com/en/abs/formalizing-and-estimating-distribution-inference-risks-2109.06024</loc><lastmod>2022-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/formalizing-and-estimating-distribution-inference-risks-2109.06024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/formalizing-and-estimating-distribution-inference-risks-2109.06024"/></url>
<url><loc>https://scifaro.com/en/abs/covihawkes-temporal-point-process-and-deep-learning-based-covid-19-forecasting-for-india-2109.06056</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covihawkes-temporal-point-process-and-deep-learning-based-covid-19-forecasting-for-india-2109.06056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covihawkes-temporal-point-process-and-deep-learning-based-covid-19-forecasting-for-india-2109.06056"/></url>
<url><loc>https://scifaro.com/en/abs/an-end-to-end-point-of-interest-poi-conflation-framework-2109.06073</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-end-to-end-point-of-interest-poi-conflation-framework-2109.06073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-end-to-end-point-of-interest-poi-conflation-framework-2109.06073"/></url>
<url><loc>https://scifaro.com/en/abs/concept-drift-detection-in-federated-networked-systems-2109.06088</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concept-drift-detection-in-federated-networked-systems-2109.06088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concept-drift-detection-in-federated-networked-systems-2109.06088"/></url>
<url><loc>https://scifaro.com/en/abs/direct-advantage-estimation-2109.06093</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direct-advantage-estimation-2109.06093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direct-advantage-estimation-2109.06093"/></url>
<url><loc>https://scifaro.com/en/abs/the-mathematics-of-adversarial-attacks-in-ai-why-deep-learning-is-unstable-despite-the-existence-of-stable-neural-networks-2109.06098</loc><lastmod>2025-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-mathematics-of-adversarial-attacks-in-ai-why-deep-learning-is-unstable-despite-the-existence-of-stable-neural-networks-2109.06098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-mathematics-of-adversarial-attacks-in-ai-why-deep-learning-is-unstable-despite-the-existence-of-stable-neural-networks-2109.06098"/></url>
<url><loc>https://scifaro.com/en/abs/uniform-generalization-bounds-for-overparameterized-neural-networks-2109.06099</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniform-generalization-bounds-for-overparameterized-neural-networks-2109.06099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniform-generalization-bounds-for-overparameterized-neural-networks-2109.06099"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-machine-learning-in-early-recommendation-of-cardiac-resynchronization-therapy-2109.06139</loc><lastmod>2021-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-machine-learning-in-early-recommendation-of-cardiac-resynchronization-therapy-2109.06139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-machine-learning-in-early-recommendation-of-cardiac-resynchronization-therapy-2109.06139"/></url>
<url><loc>https://scifaro.com/en/abs/on-tilted-losses-in-machine-learning-theory-and-applications-2109.06141</loc><lastmod>2023-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-tilted-losses-in-machine-learning-theory-and-applications-2109.06141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-tilted-losses-in-machine-learning-theory-and-applications-2109.06141"/></url>
<url><loc>https://scifaro.com/en/abs/relaxed-marginal-consistency-for-differentially-private-query-answering-2109.06153</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relaxed-marginal-consistency-for-differentially-private-query-answering-2109.06153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relaxed-marginal-consistency-for-differentially-private-query-answering-2109.06153"/></url>
<url><loc>https://scifaro.com/en/abs/treated-towards-universal-defense-against-textual-adversarial-attacks-2109.06176</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/treated-towards-universal-defense-against-textual-adversarial-attacks-2109.06176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/treated-towards-universal-defense-against-textual-adversarial-attacks-2109.06176"/></url>
<url><loc>https://scifaro.com/en/abs/when-stability-meets-sufficiency-informative-explanations-that-do-not-overwhelm-2109.06181</loc><lastmod>2024-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-stability-meets-sufficiency-informative-explanations-that-do-not-overwhelm-2109.06181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-stability-meets-sufficiency-informative-explanations-that-do-not-overwhelm-2109.06181"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-online-algorithm-selection-under-censored-feedback-2109.06234</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-online-algorithm-selection-under-censored-feedback-2109.06234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-online-algorithm-selection-under-censored-feedback-2109.06234"/></url>
<url><loc>https://scifaro.com/en/abs/program-to-circuit-exploiting-gnns-for-program-representation-and-circuit-translation-2109.06265</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/program-to-circuit-exploiting-gnns-for-program-representation-and-circuit-translation-2109.06265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/program-to-circuit-exploiting-gnns-for-program-representation-and-circuit-translation-2109.06265"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-tuning-of-tensorflow-s-cpu-backend-using-gradient-free-optimization-algorithms-2109.06266</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-tuning-of-tensorflow-s-cpu-backend-using-gradient-free-optimization-algorithms-2109.06266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-tuning-of-tensorflow-s-cpu-backend-using-gradient-free-optimization-algorithms-2109.06266"/></url>
<url><loc>https://scifaro.com/en/abs/state-relevance-for-off-policy-evaluation-2109.06310</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-relevance-for-off-policy-evaluation-2109.06310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-relevance-for-off-policy-evaluation-2109.06310"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-defer-for-sequential-medical-decision-making-under-uncertainty-2109.06312</loc><lastmod>2022-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-defer-for-sequential-medical-decision-making-under-uncertainty-2109.06312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-defer-for-sequential-medical-decision-making-under-uncertainty-2109.06312"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-sampling-bias-and-improving-robustness-in-active-learning-2109.06321</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-sampling-bias-and-improving-robustness-in-active-learning-2109.06321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-sampling-bias-and-improving-robustness-in-active-learning-2109.06321"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-zero-constraint-violation-for-constrained-reinforcement-learning-via-primal-dual-approach-2109.06332</loc><lastmod>2022-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-zero-constraint-violation-for-constrained-reinforcement-learning-via-primal-dual-approach-2109.06332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-zero-constraint-violation-for-constrained-reinforcement-learning-via-primal-dual-approach-2109.06332"/></url>
<url><loc>https://scifaro.com/en/abs/a-practical-adversarial-attack-on-contingency-detection-of-smart-energy-systems-2109.06358</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-practical-adversarial-attack-on-contingency-detection-of-smart-energy-systems-2109.06358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-practical-adversarial-attack-on-contingency-detection-of-smart-energy-systems-2109.06358"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-guarantees-of-fictitious-discount-algorithms-for-episodic-reinforcement-learning-and-global-convergence-of-policy-gradient-methods-2109.06362</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-guarantees-of-fictitious-discount-algorithms-for-episodic-reinforcement-learning-and-global-convergence-of-policy-gradient-methods-2109.06362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-guarantees-of-fictitious-discount-algorithms-for-episodic-reinforcement-learning-and-global-convergence-of-policy-gradient-methods-2109.06362"/></url>
<url><loc>https://scifaro.com/en/abs/policy-optimization-using-semi-parametric-models-for-dynamic-pricing-2109.06368</loc><lastmod>2022-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-optimization-using-semi-parametric-models-for-dynamic-pricing-2109.06368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-optimization-using-semi-parametric-models-for-dynamic-pricing-2109.06368"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-with-physics-informed-architectures-and-constraints-for-dynamical-systems-modeling-2109.06407</loc><lastmod>2022-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-with-physics-informed-architectures-and-constraints-for-dynamical-systems-modeling-2109.06407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-with-physics-informed-architectures-and-constraints-for-dynamical-systems-modeling-2109.06407"/></url>
<url><loc>https://scifaro.com/en/abs/robust-inverse-framework-using-knowledge-guided-self-supervised-learning-an-application-to-hydrology-2109.06429</loc><lastmod>2022-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-inverse-framework-using-knowledge-guided-self-supervised-learning-an-application-to-hydrology-2109.06429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-inverse-framework-using-knowledge-guided-self-supervised-learning-an-application-to-hydrology-2109.06429"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-long-short-term-dependencies-to-infer-shot-influence-in-badminton-matches-2109.06431</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-long-short-term-dependencies-to-infer-shot-influence-in-badminton-matches-2109.06431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-long-short-term-dependencies-to-infer-shot-influence-in-badminton-matches-2109.06431"/></url>
<url><loc>https://scifaro.com/en/abs/complexity-aware-adaptive-training-and-inference-for-edge-cloud-distributed-ai-systems-2109.06440</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complexity-aware-adaptive-training-and-inference-for-edge-cloud-distributed-ai-systems-2109.06440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complexity-aware-adaptive-training-and-inference-for-edge-cloud-distributed-ai-systems-2109.06440"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-framework-for-daylight-and-visual-comfort-assessment-in-early-design-stages-2109.06450</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-framework-for-daylight-and-visual-comfort-assessment-in-early-design-stages-2109.06450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-framework-for-daylight-and-visual-comfort-assessment-in-early-design-stages-2109.06450"/></url>
<url><loc>https://scifaro.com/en/abs/a-note-on-knowledge-distillation-loss-function-for-object-classification-2109.06458</loc><lastmod>2024-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-note-on-knowledge-distillation-loss-function-for-object-classification-2109.06458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-note-on-knowledge-distillation-loss-function-for-object-classification-2109.06458"/></url>
<url><loc>https://scifaro.com/en/abs/deep-denerative-models-for-drug-design-and-response-2109.06469</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-denerative-models-for-drug-design-and-response-2109.06469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-denerative-models-for-drug-design-and-response-2109.06469"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-synthetic-data-generation-for-robust-machine-learning-applications-with-limited-pandemic-data-2109.06486</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-synthetic-data-generation-for-robust-machine-learning-applications-with-limited-pandemic-data-2109.06486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-synthetic-data-generation-for-robust-machine-learning-applications-with-limited-pandemic-data-2109.06486"/></url>
<url><loc>https://scifaro.com/en/abs/instance-wise-graph-based-framework-for-multivariate-time-series-forecasting-2109.06489</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-wise-graph-based-framework-for-multivariate-time-series-forecasting-2109.06489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-wise-graph-based-framework-for-multivariate-time-series-forecasting-2109.06489"/></url>
<url><loc>https://scifaro.com/en/abs/vision-transformer-for-learning-driving-policies-in-complex-multi-agent-environments-2109.06514</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vision-transformer-for-learning-driving-policies-in-complex-multi-agent-environments-2109.06514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vision-transformer-for-learning-driving-policies-in-complex-multi-agent-environments-2109.06514"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-attribution-of-multivariate-time-series-using-counterfactual-reasoning-2109.06562</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-attribution-of-multivariate-time-series-using-counterfactual-reasoning-2109.06562"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-attribution-of-multivariate-time-series-using-counterfactual-reasoning-2109.06562"/></url>
<url><loc>https://scifaro.com/en/abs/variation-incentive-loss-re-weighting-for-regression-analysis-on-biased-data-2109.06565</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variation-incentive-loss-re-weighting-for-regression-analysis-on-biased-data-2109.06565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variation-incentive-loss-re-weighting-for-regression-analysis-on-biased-data-2109.06565"/></url>
<url><loc>https://scifaro.com/en/abs/sum-product-attention-networks-leveraging-self-attention-in-probabilistic-circuits-2109.06587</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sum-product-attention-networks-leveraging-self-attention-in-probabilistic-circuits-2109.06587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sum-product-attention-networks-leveraging-self-attention-in-probabilistic-circuits-2109.06587"/></url>
<url><loc>https://scifaro.com/en/abs/dsdf-an-approach-to-handle-stochastic-agents-in-collaborative-multi-agent-reinforcement-learning-2109.06609</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dsdf-an-approach-to-handle-stochastic-agents-in-collaborative-multi-agent-reinforcement-learning-2109.06609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dsdf-an-approach-to-handle-stochastic-agents-in-collaborative-multi-agent-reinforcement-learning-2109.06609"/></url>
<url><loc>https://scifaro.com/en/abs/towards-optimized-actions-in-critical-situations-of-soccer-games-with-deep-reinforcement-learning-2109.06625</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-optimized-actions-in-critical-situations-of-soccer-games-with-deep-reinforcement-learning-2109.06625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-optimized-actions-in-critical-situations-of-soccer-games-with-deep-reinforcement-learning-2109.06625"/></url>
<url><loc>https://scifaro.com/en/abs/expert-knowledge-guided-length-variant-hierarchical-label-generation-for-proposal-classification-2109.06661</loc><lastmod>2022-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expert-knowledge-guided-length-variant-hierarchical-label-generation-for-proposal-classification-2109.06661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expert-knowledge-guided-length-variant-hierarchical-label-generation-for-proposal-classification-2109.06661"/></url>
<url><loc>https://scifaro.com/en/abs/a-pragmatic-approach-to-estimating-average-treatment-effects-from-ehr-data-the-effect-of-prone-positioning-on-mechanically-ventilated-covid-19-patients-2109.06707</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pragmatic-approach-to-estimating-average-treatment-effects-from-ehr-data-the-effect-of-prone-positioning-on-mechanically-ventilated-covid-19-patients-2109.06707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pragmatic-approach-to-estimating-average-treatment-effects-from-ehr-data-the-effect-of-prone-positioning-on-mechanically-ventilated-covid-19-patients-2109.06707"/></url>
<url><loc>https://scifaro.com/en/abs/covid-net-clinical-icu-enhanced-prediction-of-icu-admission-for-covid-19-patients-via-explainability-and-trust-quantification-2109.06711</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covid-net-clinical-icu-enhanced-prediction-of-icu-admission-for-covid-19-patients-via-explainability-and-trust-quantification-2109.06711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covid-net-clinical-icu-enhanced-prediction-of-icu-admission-for-covid-19-patients-via-explainability-and-trust-quantification-2109.06711"/></url>
<url><loc>https://scifaro.com/en/abs/ignnition-bridging-the-gap-between-graph-neural-networks-and-networking-systems-2109.06715</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ignnition-bridging-the-gap-between-graph-neural-networks-and-networking-systems-2109.06715"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ignnition-bridging-the-gap-between-graph-neural-networks-and-networking-systems-2109.06715"/></url>
<url><loc>https://scifaro.com/en/abs/hpobench-a-collection-of-reproducible-multi-fidelity-benchmark-problems-for-hpo-2109.06716</loc><lastmod>2022-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hpobench-a-collection-of-reproducible-multi-fidelity-benchmark-problems-for-hpo-2109.06716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hpobench-a-collection-of-reproducible-multi-fidelity-benchmark-problems-for-hpo-2109.06716"/></url>
<url><loc>https://scifaro.com/en/abs/simulations-in-recommender-systems-an-industry-perspective-2109.06723</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulations-in-recommender-systems-an-industry-perspective-2109.06723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulations-in-recommender-systems-an-industry-perspective-2109.06723"/></url>
<url><loc>https://scifaro.com/en/abs/greenformer-factorization-toolkit-for-efficient-deep-neural-networks-2109.06762</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greenformer-factorization-toolkit-for-efficient-deep-neural-networks-2109.06762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greenformer-factorization-toolkit-for-efficient-deep-neural-networks-2109.06762"/></url>
<url><loc>https://scifaro.com/en/abs/petgen-personalized-text-generation-attack-on-deep-sequence-embedding-based-classification-models-2109.06777</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/petgen-personalized-text-generation-attack-on-deep-sequence-embedding-based-classification-models-2109.06777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/petgen-personalized-text-generation-attack-on-deep-sequence-embedding-based-classification-models-2109.06777"/></url>
<url><loc>https://scifaro.com/en/abs/multiple-shooting-for-training-neural-differential-equations-on-time-series-2109.06786</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiple-shooting-for-training-neural-differential-equations-on-time-series-2109.06786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiple-shooting-for-training-neural-differential-equations-on-time-series-2109.06786"/></url>
<url><loc>https://scifaro.com/en/abs/romax-certifiably-robust-deep-multiagent-reinforcement-learning-via-convex-relaxation-2109.06795</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/romax-certifiably-robust-deep-multiagent-reinforcement-learning-via-convex-relaxation-2109.06795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/romax-certifiably-robust-deep-multiagent-reinforcement-learning-via-convex-relaxation-2109.06795"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-loss-risks-for-b2b-tendering-processes-2109.06815</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-loss-risks-for-b2b-tendering-processes-2109.06815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-loss-risks-for-b2b-tendering-processes-2109.06815"/></url>
<url><loc>https://scifaro.com/en/abs/few-shot-quality-diversity-optimization-2109.06826</loc><lastmod>2024-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/few-shot-quality-diversity-optimization-2109.06826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/few-shot-quality-diversity-optimization-2109.06826"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinearities-in-steerable-so-2-equivariant-cnns-2109.06861</loc><lastmod>2021-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinearities-in-steerable-so-2-equivariant-cnns-2109.06861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinearities-in-steerable-so-2-equivariant-cnns-2109.06861"/></url>
<url><loc>https://scifaro.com/en/abs/robust-contrastive-active-learning-with-feature-guided-query-strategies-2109.06873</loc><lastmod>2022-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-contrastive-active-learning-with-feature-guided-query-strategies-2109.06873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-contrastive-active-learning-with-feature-guided-query-strategies-2109.06873"/></url>
<url><loc>https://scifaro.com/en/abs/deploying-clinical-machine-learning-consider-the-following-2109.06919</loc><lastmod>2023-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deploying-clinical-machine-learning-consider-the-following-2109.06919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deploying-clinical-machine-learning-consider-the-following-2109.06919"/></url>
<url><loc>https://scifaro.com/en/abs/multihop-leveraging-complex-models-to-learn-accurate-simple-models-2109.06961</loc><lastmod>2022-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multihop-leveraging-complex-models-to-learn-accurate-simple-models-2109.06961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multihop-leveraging-complex-models-to-learn-accurate-simple-models-2109.06961"/></url>
<url><loc>https://scifaro.com/en/abs/behavior-of-k-nn-as-an-instance-based-explanation-method-2109.06999</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/behavior-of-k-nn-as-an-instance-based-explanation-method-2109.06999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/behavior-of-k-nn-as-an-instance-based-explanation-method-2109.06999"/></url>
<url><loc>https://scifaro.com/en/abs/hemi-multi-view-embedding-in-heterogeneous-graphs-2109.07008</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hemi-multi-view-embedding-in-heterogeneous-graphs-2109.07008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hemi-multi-view-embedding-in-heterogeneous-graphs-2109.07008"/></url>
<url><loc>https://scifaro.com/en/abs/graph-embedding-via-diffusion-wavelets-based-node-feature-distribution-characterization-2109.07016</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-embedding-via-diffusion-wavelets-based-node-feature-distribution-characterization-2109.07016"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-embedding-via-diffusion-wavelets-based-node-feature-distribution-characterization-2109.07016"/></url>
<url><loc>https://scifaro.com/en/abs/avengers-ensemble-improving-transferability-of-authorship-obfuscation-2109.07028</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avengers-ensemble-improving-transferability-of-authorship-obfuscation-2109.07028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avengers-ensemble-improving-transferability-of-authorship-obfuscation-2109.07028"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-a-human-in-the-loop-policy-gradient-algorithm-with-eligibility-trace-under-reward-policy-and-advantage-feedback-2109.07054</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-a-human-in-the-loop-policy-gradient-algorithm-with-eligibility-trace-under-reward-policy-and-advantage-feedback-2109.07054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-a-human-in-the-loop-policy-gradient-algorithm-with-eligibility-trace-under-reward-policy-and-advantage-feedback-2109.07054"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-symmetry-discovery-with-lie-algebra-convolutional-network-2109.07103</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-symmetry-discovery-with-lie-algebra-convolutional-network-2109.07103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-symmetry-discovery-with-lie-algebra-convolutional-network-2109.07103"/></url>
<url><loc>https://scifaro.com/en/abs/wip-medical-incident-prediction-through-analysis-of-electronic-medical-records-using-machine-lerning-fall-prediction-2109.07106</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wip-medical-incident-prediction-through-analysis-of-electronic-medical-records-using-machine-lerning-fall-prediction-2109.07106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wip-medical-incident-prediction-through-analysis-of-electronic-medical-records-using-machine-lerning-fall-prediction-2109.07106"/></url>
<url><loc>https://scifaro.com/en/abs/non-asymptotic-analysis-of-stochastic-approximation-algorithms-for-streaming-data-2109.07117</loc><lastmod>2023-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-asymptotic-analysis-of-stochastic-approximation-algorithms-for-streaming-data-2109.07117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-asymptotic-analysis-of-stochastic-approximation-algorithms-for-streaming-data-2109.07117"/></url>
<url><loc>https://scifaro.com/en/abs/what-does-the-user-want-information-gain-for-hierarchical-dialogue-policy-optimisation-2109.07129</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-does-the-user-want-information-gain-for-hierarchical-dialogue-policy-optimisation-2109.07129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-does-the-user-want-information-gain-for-hierarchical-dialogue-policy-optimisation-2109.07129"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-cycling-of-a-heterogenous-battery-bank-via-reinforcement-learning-2109.07137</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-cycling-of-a-heterogenous-battery-bank-via-reinforcement-learning-2109.07137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-cycling-of-a-heterogenous-battery-bank-via-reinforcement-learning-2109.07137"/></url>
<url><loc>https://scifaro.com/en/abs/universal-adversarial-attack-on-deep-learning-based-prognostics-2109.07142</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-adversarial-attack-on-deep-learning-based-prognostics-2109.07142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-adversarial-attack-on-deep-learning-based-prognostics-2109.07142"/></url>
<url><loc>https://scifaro.com/en/abs/spline-pinn-approaching-pdes-without-data-using-fast-physics-informed-hermite-spline-cnns-2109.07143</loc><lastmod>2022-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spline-pinn-approaching-pdes-without-data-using-fast-physics-informed-hermite-spline-cnns-2109.07143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spline-pinn-approaching-pdes-without-data-using-fast-physics-informed-hermite-spline-cnns-2109.07143"/></url>
<url><loc>https://scifaro.com/en/abs/powered-hawkes-dirichlet-process-challenging-textual-clustering-using-a-flexible-temporal-prior-2109.07170</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/powered-hawkes-dirichlet-process-challenging-textual-clustering-using-a-flexible-temporal-prior-2109.07170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/powered-hawkes-dirichlet-process-challenging-textual-clustering-using-a-flexible-temporal-prior-2109.07170"/></url>
<url><loc>https://scifaro.com/en/abs/back-to-basics-deep-reinforcement-learning-in-traffic-signal-control-2109.07180</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/back-to-basics-deep-reinforcement-learning-in-traffic-signal-control-2109.07180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/back-to-basics-deep-reinforcement-learning-in-traffic-signal-control-2109.07180"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-of-molecular-properties-with-graph-neural-networks-in-a-heterogeneous-setting-2109.07258</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-of-molecular-properties-with-graph-neural-networks-in-a-heterogeneous-setting-2109.07258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-of-molecular-properties-with-graph-neural-networks-in-a-heterogeneous-setting-2109.07258"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-major-disease-outbreaks-in-the-21st-century-a-causal-approach-2109.07266</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-major-disease-outbreaks-in-the-21st-century-a-causal-approach-2109.07266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-major-disease-outbreaks-in-the-21st-century-a-causal-approach-2109.07266"/></url>
<url><loc>https://scifaro.com/en/abs/nbcoded-network-attack-classifiers-based-on-encoder-and-naive-bayes-model-for-resource-limited-devices-2109.07273</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nbcoded-network-attack-classifiers-based-on-encoder-and-naive-bayes-model-for-resource-limited-devices-2109.07273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nbcoded-network-attack-classifiers-based-on-encoder-and-naive-bayes-model-for-resource-limited-devices-2109.07273"/></url>
<url><loc>https://scifaro.com/en/abs/dromo-distributionally-robust-offline-model-based-policy-optimization-2109.07275</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dromo-distributionally-robust-offline-model-based-policy-optimization-2109.07275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dromo-distributionally-robust-offline-model-based-policy-optimization-2109.07275"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-decision-mining-approaches-with-regard-to-the-meaningfulness-of-their-results-2109.07335</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-decision-mining-approaches-with-regard-to-the-meaningfulness-of-their-results-2109.07335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-decision-mining-approaches-with-regard-to-the-meaningfulness-of-their-results-2109.07335"/></url>
<url><loc>https://scifaro.com/en/abs/modular-neural-ordinary-differential-equations-2109.07359</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modular-neural-ordinary-differential-equations-2109.07359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modular-neural-ordinary-differential-equations-2109.07359"/></url>
<url><loc>https://scifaro.com/en/abs/self-learn-to-explain-siamese-networks-robustly-2109.07371</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-learn-to-explain-siamese-networks-robustly-2109.07371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-learn-to-explain-siamese-networks-robustly-2109.07371"/></url>
<url><loc>https://scifaro.com/en/abs/dcur-data-curriculum-for-teaching-via-samples-with-reinforcement-learning-2109.07380</loc><lastmod>2021-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dcur-data-curriculum-for-teaching-via-samples-with-reinforcement-learning-2109.07380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dcur-data-curriculum-for-teaching-via-samples-with-reinforcement-learning-2109.07380"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-spatial-temporal-model-for-travel-time-estimation-2109.07402</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-spatial-temporal-model-for-travel-time-estimation-2109.07402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-spatial-temporal-model-for-travel-time-estimation-2109.07402"/></url>
<url><loc>https://scifaro.com/en/abs/should-we-be-pre-training-an-argument-for-end-task-aware-training-as-an-alternative-2109.07437</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/should-we-be-pre-training-an-argument-for-end-task-aware-training-as-an-alternative-2109.07437"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/should-we-be-pre-training-an-argument-for-end-task-aware-training-as-an-alternative-2109.07437"/></url>
<url><loc>https://scifaro.com/en/abs/camul-calibrated-and-accurate-multi-view-time-series-forecasting-2109.07438</loc><lastmod>2022-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/camul-calibrated-and-accurate-multi-view-time-series-forecasting-2109.07438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/camul-calibrated-and-accurate-multi-view-time-series-forecasting-2109.07438"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-theory-guided-learning-of-partial-differential-equations-using-simultaneous-basis-function-approximation-and-parameter-estimation-snape-2109.07471</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-theory-guided-learning-of-partial-differential-equations-using-simultaneous-basis-function-approximation-and-parameter-estimation-snape-2109.07471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-theory-guided-learning-of-partial-differential-equations-using-simultaneous-basis-function-approximation-and-parameter-estimation-snape-2109.07471"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-xgboost-method-2109.07473</loc><lastmod>2022-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-xgboost-method-2109.07473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-xgboost-method-2109.07473"/></url>
<url><loc>https://scifaro.com/en/abs/sign-maml-efficient-model-agnostic-meta-learning-by-signsgd-2109.07497</loc><lastmod>2021-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sign-maml-efficient-model-agnostic-meta-learning-by-signsgd-2109.07497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sign-maml-efficient-model-agnostic-meta-learning-by-signsgd-2109.07497"/></url>
<url><loc>https://scifaro.com/en/abs/federated-contrastive-learning-for-decentralized-unlabeled-medical-images-2109.07504</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-contrastive-learning-for-decentralized-unlabeled-medical-images-2109.07504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-contrastive-learning-for-decentralized-unlabeled-medical-images-2109.07504"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-useful-compact-sets-of-sequential-rules-in-a-long-sequence-2109.07519</loc><lastmod>2023-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-useful-compact-sets-of-sequential-rules-in-a-long-sequence-2109.07519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-useful-compact-sets-of-sequential-rules-in-a-long-sequence-2109.07519"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-regularization-in-dce-mr-image-reconstruction-for-functional-imaging-of-kidneys-2109.07548</loc><lastmod>2022-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-regularization-in-dce-mr-image-reconstruction-for-functional-imaging-of-kidneys-2109.07548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-regularization-in-dce-mr-image-reconstruction-for-functional-imaging-of-kidneys-2109.07548"/></url>
<url><loc>https://scifaro.com/en/abs/counternet-end-to-end-training-of-prediction-aware-counterfactual-explanations-2109.07557</loc><lastmod>2023-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counternet-end-to-end-training-of-prediction-aware-counterfactual-explanations-2109.07557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counternet-end-to-end-training-of-prediction-aware-counterfactual-explanations-2109.07557"/></url>
<url><loc>https://scifaro.com/en/abs/non-smooth-bayesian-optimization-in-tuning-problems-2109.07563</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-smooth-bayesian-optimization-in-tuning-problems-2109.07563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-smooth-bayesian-optimization-in-tuning-problems-2109.07563"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-of-warfarin-dosage-with-reinforcement-learning-2109.07564</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-of-warfarin-dosage-with-reinforcement-learning-2109.07564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-of-warfarin-dosage-with-reinforcement-learning-2109.07564"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-outcome-of-team-movements-player-time-series-analysis-using-fuzzy-and-deep-methods-for-representation-learning-2109.07570</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-outcome-of-team-movements-player-time-series-analysis-using-fuzzy-and-deep-methods-for-representation-learning-2109.07570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-outcome-of-team-movements-player-time-series-analysis-using-fuzzy-and-deep-methods-for-representation-learning-2109.07570"/></url>
<url><loc>https://scifaro.com/en/abs/secure-your-ride-real-time-matching-success-rate-prediction-for-passenger-driver-pairs-2109.07571</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secure-your-ride-real-time-matching-success-rate-prediction-for-passenger-driver-pairs-2109.07571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secure-your-ride-real-time-matching-success-rate-prediction-for-passenger-driver-pairs-2109.07571"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-physics-a-position-piece-2109.07573</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-physics-a-position-piece-2109.07573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-physics-a-position-piece-2109.07573"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-with-sequence-conditioned-transporter-networks-2109.07578</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-with-sequence-conditioned-transporter-networks-2109.07578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-with-sequence-conditioned-transporter-networks-2109.07578"/></url>
<url><loc>https://scifaro.com/en/abs/pareto-wise-ranking-classifier-for-multi-objective-evolutionary-neural-architecture-search-2109.07582</loc><lastmod>2024-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pareto-wise-ranking-classifier-for-multi-objective-evolutionary-neural-architecture-search-2109.07582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pareto-wise-ranking-classifier-for-multi-objective-evolutionary-neural-architecture-search-2109.07582"/></url>
<url><loc>https://scifaro.com/en/abs/network-representation-learning-systematic-review-ancestors-and-current-development-state-2109.07583</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-representation-learning-systematic-review-ancestors-and-current-development-state-2109.07583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-representation-learning-systematic-review-ancestors-and-current-development-state-2109.07583"/></url>
<url><loc>https://scifaro.com/en/abs/a-column-streaming-based-convolution-engine-and-mapping-algorithm-for-cnn-based-edge-ai-accelerators-2109.07601</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-column-streaming-based-convolution-engine-and-mapping-algorithm-for-cnn-based-edge-ai-accelerators-2109.07601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-column-streaming-based-convolution-engine-and-mapping-algorithm-for-cnn-based-edge-ai-accelerators-2109.07601"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-additive-recurrent-neural-networks-for-multivariate-clinical-time-series-2109.07602</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-additive-recurrent-neural-networks-for-multivariate-clinical-time-series-2109.07602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-additive-recurrent-neural-networks-for-multivariate-clinical-time-series-2109.07602"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-fly-ensemble-pruning-in-evolving-data-streams-2109.07611</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-fly-ensemble-pruning-in-evolving-data-streams-2109.07611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-fly-ensemble-pruning-in-evolving-data-streams-2109.07611"/></url>
<url><loc>https://scifaro.com/en/abs/towards-zero-shot-cross-lingual-image-retrieval-and-tagging-2109.07622</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-zero-shot-cross-lingual-image-retrieval-and-tagging-2109.07622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-zero-shot-cross-lingual-image-retrieval-and-tagging-2109.07622"/></url>
<url><loc>https://scifaro.com/en/abs/connecting-low-loss-subspace-for-personalized-federated-learning-2109.07628</loc><lastmod>2022-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/connecting-low-loss-subspace-for-personalized-federated-learning-2109.07628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/connecting-low-loss-subspace-for-personalized-federated-learning-2109.07628"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learned-hasdm-model-with-uncertainty-quantification-2109.07651</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learned-hasdm-model-with-uncertainty-quantification-2109.07651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learned-hasdm-model-with-uncertainty-quantification-2109.07651"/></url>
<url><loc>https://scifaro.com/en/abs/the-neural-metric-factorization-for-computational-drug-repositioning-2109.07690</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-neural-metric-factorization-for-computational-drug-repositioning-2109.07690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-neural-metric-factorization-for-computational-drug-repositioning-2109.07690"/></url>
<url><loc>https://scifaro.com/en/abs/federated-submodel-optimization-for-hot-and-cold-data-features-2109.07704</loc><lastmod>2023-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-submodel-optimization-for-hot-and-cold-data-features-2109.07704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-submodel-optimization-for-hot-and-cold-data-features-2109.07704"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-activation-based-gradient-output-sparsity-to-accelerate-backpropagation-in-cnns-2109.07710</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-activation-based-gradient-output-sparsity-to-accelerate-backpropagation-in-cnns-2109.07710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-activation-based-gradient-output-sparsity-to-accelerate-backpropagation-in-cnns-2109.07710"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-differentiable-simulation-of-articulated-bodies-2109.07719</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-differentiable-simulation-of-articulated-bodies-2109.07719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-differentiable-simulation-of-articulated-bodies-2109.07719"/></url>
<url><loc>https://scifaro.com/en/abs/targeted-attack-on-deep-rl-based-autonomous-driving-with-learned-visual-patterns-2109.07723</loc><lastmod>2022-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/targeted-attack-on-deep-rl-based-autonomous-driving-with-learned-visual-patterns-2109.07723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/targeted-attack-on-deep-rl-based-autonomous-driving-with-learned-visual-patterns-2109.07723"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-with-quantum-field-theories-2109.07730</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-with-quantum-field-theories-2109.07730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-with-quantum-field-theories-2109.07730"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-study-of-machine-learning-methods-for-predicting-the-evolution-of-brain-connectivity-from-a-baseline-timepoint-2109.07739</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-study-of-machine-learning-methods-for-predicting-the-evolution-of-brain-connectivity-from-a-baseline-timepoint-2109.07739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-study-of-machine-learning-methods-for-predicting-the-evolution-of-brain-connectivity-from-a-baseline-timepoint-2109.07739"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-laws-for-neural-machine-translation-2109.07740</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-laws-for-neural-machine-translation-2109.07740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-laws-for-neural-machine-translation-2109.07740"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-probing-with-statistical-guarantees-for-network-monitoring-at-scale-2109.07743</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-probing-with-statistical-guarantees-for-network-monitoring-at-scale-2109.07743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-probing-with-statistical-guarantees-for-network-monitoring-at-scale-2109.07743"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-acceleration-of-projection-based-model-order-reduction-for-finite-plasticity-application-to-rves-2109.07747</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-acceleration-of-projection-based-model-order-reduction-for-finite-plasticity-application-to-rves-2109.07747"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-acceleration-of-projection-based-model-order-reduction-for-finite-plasticity-application-to-rves-2109.07747"/></url>
<url><loc>https://scifaro.com/en/abs/detection-accuracy-for-evaluating-compositional-explanations-of-units-2109.07804</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detection-accuracy-for-evaluating-compositional-explanations-of-units-2109.07804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detection-accuracy-for-evaluating-compositional-explanations-of-units-2109.07804"/></url>
<url><loc>https://scifaro.com/en/abs/probability-driven-scoring-functions-in-combining-linear-classifiers-2109.07815</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probability-driven-scoring-functions-in-combining-linear-classifiers-2109.07815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probability-driven-scoring-functions-in-combining-linear-classifiers-2109.07815"/></url>
<url><loc>https://scifaro.com/en/abs/incentives-in-two-sided-matching-markets-with-prediction-enhanced-preference-formation-2109.07835</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incentives-in-two-sided-matching-markets-with-prediction-enhanced-preference-formation-2109.07835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incentives-in-two-sided-matching-markets-with-prediction-enhanced-preference-formation-2109.07835"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-contrastive-learning-for-eeg-based-sleep-staging-2109.07839</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-contrastive-learning-for-eeg-based-sleep-staging-2109.07839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-contrastive-learning-for-eeg-based-sleep-staging-2109.07839"/></url>
<url><loc>https://scifaro.com/en/abs/telehealthcare-and-telepathology-in-pandemic-a-noninvasive-low-cost-micro-invasive-and-multimodal-real-time-online-application-for-early-diagnosis-of-covid-19-infection-2109.07846</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/telehealthcare-and-telepathology-in-pandemic-a-noninvasive-low-cost-micro-invasive-and-multimodal-real-time-online-application-for-early-diagnosis-of-covid-19-infection-2109.07846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/telehealthcare-and-telepathology-in-pandemic-a-noninvasive-low-cost-micro-invasive-and-multimodal-real-time-online-application-for-early-diagnosis-of-covid-19-infection-2109.07846"/></url>
<url><loc>https://scifaro.com/en/abs/soft-confusion-matrix-classifier-for-stream-classification-2109.07857</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-confusion-matrix-classifier-for-stream-classification-2109.07857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-confusion-matrix-classifier-for-stream-classification-2109.07857"/></url>
<url><loc>https://scifaro.com/en/abs/building-an-ensemble-of-classifiers-via-randomized-models-of-ensemble-members-2109.07861</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-an-ensemble-of-classifiers-via-randomized-models-of-ensemble-members-2109.07861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-an-ensemble-of-classifiers-via-randomized-models-of-ensemble-members-2109.07861"/></url>
<url><loc>https://scifaro.com/en/abs/ompq-orthogonal-mixed-precision-quantization-2109.07865</loc><lastmod>2025-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ompq-orthogonal-mixed-precision-quantization-2109.07865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ompq-orthogonal-mixed-precision-quantization-2109.07865"/></url>
<url><loc>https://scifaro.com/en/abs/humanly-certifying-superhuman-classifiers-2109.07867</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/humanly-certifying-superhuman-classifiers-2109.07867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/humanly-certifying-superhuman-classifiers-2109.07867"/></url>
<url><loc>https://scifaro.com/en/abs/explainability-requires-interactivity-2109.07869</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainability-requires-interactivity-2109.07869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainability-requires-interactivity-2109.07869"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-inductive-biases-of-deep-domain-adaptation-2109.07920</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-inductive-biases-of-deep-domain-adaptation-2109.07920"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-inductive-biases-of-deep-domain-adaptation-2109.07920"/></url>
<url><loc>https://scifaro.com/en/abs/knowman-weakly-supervised-multinomial-adversarial-networks-2109.07994</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowman-weakly-supervised-multinomial-adversarial-networks-2109.07994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowman-weakly-supervised-multinomial-adversarial-networks-2109.07994"/></url>
<url><loc>https://scifaro.com/en/abs/wildwood-a-new-random-forest-algorithm-2109.08010</loc><lastmod>2023-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wildwood-a-new-random-forest-algorithm-2109.08010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wildwood-a-new-random-forest-algorithm-2109.08010"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-framework-for-automatic-prediction-of-human-semen-motility-2109.08049</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-framework-for-automatic-prediction-of-human-semen-motility-2109.08049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-framework-for-automatic-prediction-of-human-semen-motility-2109.08049"/></url>
<url><loc>https://scifaro.com/en/abs/associative-memories-via-predictive-coding-2109.08063</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/associative-memories-via-predictive-coding-2109.08063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/associative-memories-via-predictive-coding-2109.08063"/></url>
<url><loc>https://scifaro.com/en/abs/field-study-in-deploying-restless-multi-armed-bandits-assisting-non-profits-in-improving-maternal-and-child-health-2109.08075</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/field-study-in-deploying-restless-multi-armed-bandits-assisting-non-profits-in-improving-maternal-and-child-health-2109.08075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/field-study-in-deploying-restless-multi-armed-bandits-assisting-non-profits-in-improving-maternal-and-child-health-2109.08075"/></url>
<url><loc>https://scifaro.com/en/abs/disunknown-distilling-unknown-factors-for-disentanglement-learning-2109.08090</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disunknown-distilling-unknown-factors-for-disentanglement-learning-2109.08090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disunknown-distilling-unknown-factors-for-disentanglement-learning-2109.08090"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-federated-learning-for-heterogeneous-clients-with-clustered-knowledge-transfer-2109.08119</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-federated-learning-for-heterogeneous-clients-with-clustered-knowledge-transfer-2109.08119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-federated-learning-for-heterogeneous-clients-with-clustered-knowledge-transfer-2109.08119"/></url>
<url><loc>https://scifaro.com/en/abs/conservative-data-sharing-for-multi-task-offline-reinforcement-learning-2109.08128</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conservative-data-sharing-for-multi-task-offline-reinforcement-learning-2109.08128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conservative-data-sharing-for-multi-task-offline-reinforcement-learning-2109.08128"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-and-unification-of-three-regularization-methods-in-batch-reinforcement-learning-2109.08134</loc><lastmod>2021-09-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-and-unification-of-three-regularization-methods-in-batch-reinforcement-learning-2109.08134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-and-unification-of-three-regularization-methods-in-batch-reinforcement-learning-2109.08134"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-local-tree-surrogate-policies-2109.08180</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-local-tree-surrogate-policies-2109.08180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-local-tree-surrogate-policies-2109.08180"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-factorization-of-large-square-matrices-2109.08184</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-factorization-of-large-square-matrices-2109.08184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-factorization-of-large-square-matrices-2109.08184"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-neural-networks-for-regression-uncertainty-estimation-2109.08213</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-neural-networks-for-regression-uncertainty-estimation-2109.08213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-neural-networks-for-regression-uncertainty-estimation-2109.08213"/></url>
<url><loc>https://scifaro.com/en/abs/pre-trained-gaussian-processes-for-bayesian-optimization-2109.08215</loc><lastmod>2024-08-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pre-trained-gaussian-processes-for-bayesian-optimization-2109.08215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pre-trained-gaussian-processes-for-bayesian-optimization-2109.08215"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-average-performance-exploring-regions-of-deviating-performance-for-black-box-classification-models-2109.08216</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-average-performance-exploring-regions-of-deviating-performance-for-black-box-classification-models-2109.08216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-average-performance-exploring-regions-of-deviating-performance-for-black-box-classification-models-2109.08216"/></url>
<url><loc>https://scifaro.com/en/abs/slaw-scaled-loss-approximate-weighting-for-efficient-multi-task-learning-2109.08218</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slaw-scaled-loss-approximate-weighting-for-efficient-multi-task-learning-2109.08218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slaw-scaled-loss-approximate-weighting-for-efficient-multi-task-learning-2109.08218"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-rl-a-reconfigurable-architecture-with-preemptive-exits-for-efficient-deep-reinforcement-learning-2109.08231</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-rl-a-reconfigurable-architecture-with-preemptive-exits-for-efficient-deep-reinforcement-learning-2109.08231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-rl-a-reconfigurable-architecture-with-preemptive-exits-for-efficient-deep-reinforcement-learning-2109.08231"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-on-encrypted-data-2109.08236</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-on-encrypted-data-2109.08236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-on-encrypted-data-2109.08236"/></url>
<url><loc>https://scifaro.com/en/abs/subtle-data-crimes-naively-training-machine-learning-algorithms-could-lead-to-overly-optimistic-results-2109.08237</loc><lastmod>2021-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subtle-data-crimes-naively-training-machine-learning-algorithms-could-lead-to-overly-optimistic-results-2109.08237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subtle-data-crimes-naively-training-machine-learning-algorithms-could-lead-to-overly-optimistic-results-2109.08237"/></url>
<url><loc>https://scifaro.com/en/abs/hard-to-forget-poisoning-attacks-on-certified-machine-unlearning-2109.08266</loc><lastmod>2022-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hard-to-forget-poisoning-attacks-on-certified-machine-unlearning-2109.08266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hard-to-forget-poisoning-attacks-on-certified-machine-unlearning-2109.08266"/></url>
<url><loc>https://scifaro.com/en/abs/decision-tree-learning-with-spatial-modal-logics-2109.08325</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-tree-learning-with-spatial-modal-logics-2109.08325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-tree-learning-with-spatial-modal-logics-2109.08325"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-offline-reinforcement-learning-application-in-real-time-bidding-and-recommendation-potential-use-of-simulation-2109.08331</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-offline-reinforcement-learning-application-in-real-time-bidding-and-recommendation-potential-use-of-simulation-2109.08331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-offline-reinforcement-learning-application-in-real-time-bidding-and-recommendation-potential-use-of-simulation-2109.08331"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-s-dream-land-generalization-from-learned-simulators-to-reality-2109.08342</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-s-dream-land-generalization-from-learned-simulators-to-reality-2109.08342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-s-dream-land-generalization-from-learned-simulators-to-reality-2109.08342"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-model-fairness-in-vertical-federated-learning-2109.08344</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-model-fairness-in-vertical-federated-learning-2109.08344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-model-fairness-in-vertical-federated-learning-2109.08344"/></url>
<url><loc>https://scifaro.com/en/abs/comfetch-federated-learning-of-large-networks-on-constrained-clients-via-sketching-2109.08346</loc><lastmod>2023-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comfetch-federated-learning-of-large-networks-on-constrained-clients-via-sketching-2109.08346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comfetch-federated-learning-of-large-networks-on-constrained-clients-via-sketching-2109.08346"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-interpretable-and-fast-animation-an-iterative-sparse-and-nonconvex-approach-2109.08356</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-interpretable-and-fast-animation-an-iterative-sparse-and-nonconvex-approach-2109.08356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-interpretable-and-fast-animation-an-iterative-sparse-and-nonconvex-approach-2109.08356"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-spatiotemporal-graph-convolutional-neural-networks-for-traffic-data-imputation-with-complex-missing-patterns-2109.08357</loc><lastmod>2022-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-spatiotemporal-graph-convolutional-neural-networks-for-traffic-data-imputation-with-complex-missing-patterns-2109.08357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-spatiotemporal-graph-convolutional-neural-networks-for-traffic-data-imputation-with-complex-missing-patterns-2109.08357"/></url>
<url><loc>https://scifaro.com/en/abs/an-interpretable-framework-for-drug-target-interaction-with-gated-cross-attention-2109.08360</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-interpretable-framework-for-drug-target-interaction-with-gated-cross-attention-2109.08360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-interpretable-framework-for-drug-target-interaction-with-gated-cross-attention-2109.08360"/></url>
<url><loc>https://scifaro.com/en/abs/from-known-to-unknown-knowledge-guided-transformer-for-time-series-sales-forecasting-in-alibaba-2109.08381</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-known-to-unknown-knowledge-guided-transformer-for-time-series-sales-forecasting-in-alibaba-2109.08381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-known-to-unknown-knowledge-guided-transformer-for-time-series-sales-forecasting-in-alibaba-2109.08381"/></url>
<url><loc>https://scifaro.com/en/abs/ts-mule-local-interpretable-model-agnostic-explanations-for-time-series-forecast-models-2109.08438</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ts-mule-local-interpretable-model-agnostic-explanations-for-time-series-forecast-models-2109.08438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ts-mule-local-interpretable-model-agnostic-explanations-for-time-series-forecast-models-2109.08438"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-of-network-bottlenecks-via-minimax-paths-2109.08467</loc><lastmod>2023-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-of-network-bottlenecks-via-minimax-paths-2109.08467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-of-network-bottlenecks-via-minimax-paths-2109.08467"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-deep-reinforcement-and-supervised-learning-to-expedite-indoor-mapping-2109.08490</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-deep-reinforcement-and-supervised-learning-to-expedite-indoor-mapping-2109.08490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-deep-reinforcement-and-supervised-learning-to-expedite-indoor-mapping-2109.08490"/></url>
<url><loc>https://scifaro.com/en/abs/soft-actor-critic-with-integer-actions-2109.08512</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-actor-critic-with-integer-actions-2109.08512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-actor-critic-with-integer-actions-2109.08512"/></url>
<url><loc>https://scifaro.com/en/abs/dynamics-aware-quality-diversity-for-efficient-learning-of-skill-repertoires-2109.08522</loc><lastmod>2022-07-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamics-aware-quality-diversity-for-efficient-learning-of-skill-repertoires-2109.08522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamics-aware-quality-diversity-for-efficient-learning-of-skill-repertoires-2109.08522"/></url>
<url><loc>https://scifaro.com/en/abs/an-open-gps-trajectory-dataset-and-benchmark-for-travel-mode-detection-2109.08527</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-open-gps-trajectory-dataset-and-benchmark-for-travel-mode-detection-2109.08527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-open-gps-trajectory-dataset-and-benchmark-for-travel-mode-detection-2109.08527"/></url>
<url><loc>https://scifaro.com/en/abs/context-aware-retail-product-recommendation-with-regularized-gradient-boosting-2109.08561</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-aware-retail-product-recommendation-with-regularized-gradient-boosting-2109.08561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-aware-retail-product-recommendation-with-regularized-gradient-boosting-2109.08561"/></url>
<url><loc>https://scifaro.com/en/abs/is-curiosity-all-you-need-on-the-utility-of-emergent-behaviours-from-curious-exploration-2109.08603</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-curiosity-all-you-need-on-the-utility-of-emergent-behaviours-from-curious-exploration-2109.08603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-curiosity-all-you-need-on-the-utility-of-emergent-behaviours-from-curious-exploration-2109.08603"/></url>
<url><loc>https://scifaro.com/en/abs/enforcing-fairness-in-private-federated-learning-via-the-modified-method-of-differential-multipliers-2109.08604</loc><lastmod>2022-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enforcing-fairness-in-private-federated-learning-via-the-modified-method-of-differential-multipliers-2109.08604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enforcing-fairness-in-private-federated-learning-via-the-modified-method-of-differential-multipliers-2109.08604"/></url>
<url><loc>https://scifaro.com/en/abs/autonomous-vision-based-uav-landing-with-collision-avoidance-using-deep-learning-2109.08628</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autonomous-vision-based-uav-landing-with-collision-avoidance-using-deep-learning-2109.08628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autonomous-vision-based-uav-landing-with-collision-avoidance-using-deep-learning-2109.08628"/></url>
<url><loc>https://scifaro.com/en/abs/a-fairness-analysis-on-private-aggregation-of-teacher-ensembles-2109.08630</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fairness-analysis-on-private-aggregation-of-teacher-ensembles-2109.08630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fairness-analysis-on-private-aggregation-of-teacher-ensembles-2109.08630"/></url>
<url><loc>https://scifaro.com/en/abs/graph-learning-for-cognitive-digital-twins-in-manufacturing-systems-2109.08632</loc><lastmod>2021-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-learning-for-cognitive-digital-twins-in-manufacturing-systems-2109.08632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-learning-for-cognitive-digital-twins-in-manufacturing-systems-2109.08632"/></url>
<url><loc>https://scifaro.com/en/abs/primer-searching-for-efficient-transformers-for-language-modeling-2109.08668</loc><lastmod>2022-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/primer-searching-for-efficient-transformers-for-language-modeling-2109.08668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/primer-searching-for-efficient-transformers-for-language-modeling-2109.08668"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-similarity-for-data-clustering-2109.08675</loc><lastmod>2022-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-similarity-for-data-clustering-2109.08675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-similarity-for-data-clustering-2109.08675"/></url>
<url><loc>https://scifaro.com/en/abs/the-optimization-of-the-constant-flow-parallel-micropump-using-rbf-neural-network-2109.08717</loc><lastmod>2023-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-optimization-of-the-constant-flow-parallel-micropump-using-rbf-neural-network-2109.08717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-optimization-of-the-constant-flow-parallel-micropump-using-rbf-neural-network-2109.08717"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-variational-graph-autoencoders-for-unsupervised-cross-domain-prerequisite-chains-2109.08722</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-variational-graph-autoencoders-for-unsupervised-cross-domain-prerequisite-chains-2109.08722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-variational-graph-autoencoders-for-unsupervised-cross-domain-prerequisite-chains-2109.08722"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-training-robustness-of-distributional-reinforcement-learning-against-noisy-state-observations-2109.08776</loc><lastmod>2023-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-training-robustness-of-distributional-reinforcement-learning-against-noisy-state-observations-2109.08776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-training-robustness-of-distributional-reinforcement-learning-against-noisy-state-observations-2109.08776"/></url>
<url><loc>https://scifaro.com/en/abs/capacitance-resistance-model-and-recurrent-neural-network-for-well-connectivity-estimation-a-comparison-study-2109.08779</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capacitance-resistance-model-and-recurrent-neural-network-for-well-connectivity-estimation-a-comparison-study-2109.08779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capacitance-resistance-model-and-recurrent-neural-network-for-well-connectivity-estimation-a-comparison-study-2109.08779"/></url>
<url><loc>https://scifaro.com/en/abs/long-range-modeling-of-source-code-files-with-ewash-extended-window-access-by-syntax-hierarchy-2109.08780</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-range-modeling-of-source-code-files-with-ewash-extended-window-access-by-syntax-hierarchy-2109.08780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-range-modeling-of-source-code-files-with-ewash-extended-window-access-by-syntax-hierarchy-2109.08780"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-based-optimization-approach-to-address-stop-skipping-strategy-in-urban-rail-transit-lines-2109.08786</loc><lastmod>2022-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-based-optimization-approach-to-address-stop-skipping-strategy-in-urban-rail-transit-lines-2109.08786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-based-optimization-approach-to-address-stop-skipping-strategy-in-urban-rail-transit-lines-2109.08786"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-be-fair-a-consequentialist-approach-to-equitable-decision-making-2109.08792</loc><lastmod>2024-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-be-fair-a-consequentialist-approach-to-equitable-decision-making-2109.08792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-be-fair-a-consequentialist-approach-to-equitable-decision-making-2109.08792"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-evaluation-of-the-t-sne-algorithm-for-data-visualization-in-structural-engineering-2109.08795</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-the-t-sne-algorithm-for-data-visualization-in-structural-engineering-2109.08795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-the-t-sne-algorithm-for-data-visualization-in-structural-engineering-2109.08795"/></url>
<url><loc>https://scifaro.com/en/abs/toward-efficient-federated-learning-in-multi-channeled-mobile-edge-network-with-layerd-gradient-compression-2109.08819</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-efficient-federated-learning-in-multi-channeled-mobile-edge-network-with-layerd-gradient-compression-2109.08819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-efficient-federated-learning-in-multi-channeled-mobile-edge-network-with-layerd-gradient-compression-2109.08819"/></url>
<url><loc>https://scifaro.com/en/abs/multilingual-molecular-representation-learning-via-contrastive-pre-training-2109.08830</loc><lastmod>2022-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilingual-molecular-representation-learning-via-contrastive-pre-training-2109.08830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilingual-molecular-representation-learning-via-contrastive-pre-training-2109.08830"/></url>
<url><loc>https://scifaro.com/en/abs/an-accelerated-variance-reduced-conditional-gradient-sliding-algorithm-for-first-order-and-zeroth-order-optimization-2109.08858</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-accelerated-variance-reduced-conditional-gradient-sliding-algorithm-for-first-order-and-zeroth-order-optimization-2109.08858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-accelerated-variance-reduced-conditional-gradient-sliding-algorithm-for-first-order-and-zeroth-order-optimization-2109.08858"/></url>
<url><loc>https://scifaro.com/en/abs/interest-oriented-universal-user-representation-via-contrastive-learning-2109.08865</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interest-oriented-universal-user-representation-via-contrastive-learning-2109.08865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interest-oriented-universal-user-representation-via-contrastive-learning-2109.08865"/></url>
<url><loc>https://scifaro.com/en/abs/s-3-vaada-submodular-subset-selection-for-virtual-adversarial-active-domain-adaptation-2109.08901</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/s-3-vaada-submodular-subset-selection-for-virtual-adversarial-active-domain-adaptation-2109.08901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/s-3-vaada-submodular-subset-selection-for-virtual-adversarial-active-domain-adaptation-2109.08901"/></url>
<url><loc>https://scifaro.com/en/abs/towards-resilient-artificial-intelligence-survey-and-research-issues-2109.08904</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-resilient-artificial-intelligence-survey-and-research-issues-2109.08904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-resilient-artificial-intelligence-survey-and-research-issues-2109.08904"/></url>
<url><loc>https://scifaro.com/en/abs/releasing-graph-neural-networks-with-differential-privacy-guarantees-2109.08907</loc><lastmod>2023-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/releasing-graph-neural-networks-with-differential-privacy-guarantees-2109.08907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/releasing-graph-neural-networks-with-differential-privacy-guarantees-2109.08907"/></url>
<url><loc>https://scifaro.com/en/abs/intra-inter-subject-self-supervised-learning-for-multivariate-cardiac-signals-2109.08908</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intra-inter-subject-self-supervised-learning-for-multivariate-cardiac-signals-2109.08908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intra-inter-subject-self-supervised-learning-for-multivariate-cardiac-signals-2109.08908"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-conformal-recommender-system-2109.08949</loc><lastmod>2022-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-conformal-recommender-system-2109.08949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-conformal-recommender-system-2109.08949"/></url>
<url><loc>https://scifaro.com/en/abs/autoinit-analytic-signal-preserving-weight-initialization-for-neural-networks-2109.08958</loc><lastmod>2022-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoinit-analytic-signal-preserving-weight-initialization-for-neural-networks-2109.08958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoinit-analytic-signal-preserving-weight-initialization-for-neural-networks-2109.08958"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-learning-using-error-correcting-output-codes-new-classification-error-bounds-2109.08967</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-learning-using-error-correcting-output-codes-new-classification-error-bounds-2109.08967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-learning-using-error-correcting-output-codes-new-classification-error-bounds-2109.08967"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-knowledge-graph-completion-using-box-embeddings-2109.08970</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-knowledge-graph-completion-using-box-embeddings-2109.08970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-knowledge-graph-completion-using-box-embeddings-2109.08970"/></url>
<url><loc>https://scifaro.com/en/abs/atrial-fibrillation-a-medical-and-technological-review-2109.08974</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/atrial-fibrillation-a-medical-and-technological-review-2109.08974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/atrial-fibrillation-a-medical-and-technological-review-2109.08974"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-and-systematic-survey-of-deep-learning-approaches-for-driving-behavior-analysis-2109.08996</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-and-systematic-survey-of-deep-learning-approaches-for-driving-behavior-analysis-2109.08996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-and-systematic-survey-of-deep-learning-approaches-for-driving-behavior-analysis-2109.08996"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-based-covid-19-patients-triage-algorithm-using-patient-generated-health-data-from-nationwide-multicenter-database-2109.09001</loc><lastmod>2022-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-based-covid-19-patients-triage-algorithm-using-patient-generated-health-data-from-nationwide-multicenter-database-2109.09001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-based-covid-19-patients-triage-algorithm-using-patient-generated-health-data-from-nationwide-multicenter-database-2109.09001"/></url>
<url><loc>https://scifaro.com/en/abs/plugen-multi-label-conditional-generation-from-pre-trained-models-2109.09011</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plugen-multi-label-conditional-generation-from-pre-trained-models-2109.09011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plugen-multi-label-conditional-generation-from-pre-trained-models-2109.09011"/></url>
<url><loc>https://scifaro.com/en/abs/hydroelectric-generation-forecasting-with-long-short-term-memory-lstm-based-deep-learning-model-for-turkey-2109.09013</loc><lastmod>2024-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hydroelectric-generation-forecasting-with-long-short-term-memory-lstm-based-deep-learning-model-for-turkey-2109.09013"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hydroelectric-generation-forecasting-with-long-short-term-memory-lstm-based-deep-learning-model-for-turkey-2109.09013"/></url>
<url><loc>https://scifaro.com/en/abs/multimodal-classification-current-landscape-taxonomy-and-future-directions-2109.09020</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodal-classification-current-landscape-taxonomy-and-future-directions-2109.09020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodal-classification-current-landscape-taxonomy-and-future-directions-2109.09020"/></url>
<url><loc>https://scifaro.com/en/abs/change-of-human-mobility-during-covid-19-a-united-states-case-study-2109.09022</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/change-of-human-mobility-during-covid-19-a-united-states-case-study-2109.09022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/change-of-human-mobility-during-covid-19-a-united-states-case-study-2109.09022"/></url>
<url><loc>https://scifaro.com/en/abs/hindsight-foresight-relabeling-for-meta-reinforcement-learning-2109.09031</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hindsight-foresight-relabeling-for-meta-reinforcement-learning-2109.09031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hindsight-foresight-relabeling-for-meta-reinforcement-learning-2109.09031"/></url>
<url><loc>https://scifaro.com/en/abs/jem-improved-techniques-for-training-jem-2109.09032</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jem-improved-techniques-for-training-jem-2109.09032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jem-improved-techniques-for-training-jem-2109.09032"/></url>
<url><loc>https://scifaro.com/en/abs/greedy-unmixing-for-q-learning-in-multi-agent-reinforcement-learning-2109.09034</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/greedy-unmixing-for-q-learning-in-multi-agent-reinforcement-learning-2109.09034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/greedy-unmixing-for-q-learning-in-multi-agent-reinforcement-learning-2109.09034"/></url>
<url><loc>https://scifaro.com/en/abs/dual-behavior-regularized-reinforcement-learning-2109.09037</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-behavior-regularized-reinforcement-learning-2109.09037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-behavior-regularized-reinforcement-learning-2109.09037"/></url>
<url><loc>https://scifaro.com/en/abs/regularize-don-t-mix-multi-agent-reinforcement-learning-without-explicit-centralized-structures-2109.09038</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularize-don-t-mix-multi-agent-reinforcement-learning-without-explicit-centralized-structures-2109.09038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularize-don-t-mix-multi-agent-reinforcement-learning-without-explicit-centralized-structures-2109.09038"/></url>
<url><loc>https://scifaro.com/en/abs/improving-fairness-for-data-valuation-in-horizontal-federated-learning-2109.09046</loc><lastmod>2022-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-fairness-for-data-valuation-in-horizontal-federated-learning-2109.09046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-fairness-for-data-valuation-in-horizontal-federated-learning-2109.09046"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-benchmarking-uncertainty-in-deep-regression-2109.09048</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-benchmarking-uncertainty-in-deep-regression-2109.09048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-benchmarking-uncertainty-in-deep-regression-2109.09048"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-noise-stability-and-robustness-of-adversarially-trained-networks-on-nvm-crossbars-2109.09060</loc><lastmod>2025-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-noise-stability-and-robustness-of-adversarially-trained-networks-on-nvm-crossbars-2109.09060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-noise-stability-and-robustness-of-adversarially-trained-networks-on-nvm-crossbars-2109.09060"/></url>
<url><loc>https://scifaro.com/en/abs/towards-representation-learning-for-atmospheric-dynamics-2109.09076</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-representation-learning-for-atmospheric-dynamics-2109.09076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-representation-learning-for-atmospheric-dynamics-2109.09076"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-the-generalizability-of-self-supervised-representations-2109.09150</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-the-generalizability-of-self-supervised-representations-2109.09150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-the-generalizability-of-self-supervised-representations-2109.09150"/></url>
<url><loc>https://scifaro.com/en/abs/lifelong-robotic-reinforcement-learning-by-retaining-experiences-2109.09180</loc><lastmod>2022-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifelong-robotic-reinforcement-learning-by-retaining-experiences-2109.09180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifelong-robotic-reinforcement-learning-by-retaining-experiences-2109.09180"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-bearing-fault-diagnosis-using-gaussian-process-with-tailored-feature-extraction-2109.09189</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-bearing-fault-diagnosis-using-gaussian-process-with-tailored-feature-extraction-2109.09189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-bearing-fault-diagnosis-using-gaussian-process-with-tailored-feature-extraction-2109.09189"/></url>
<url><loc>https://scifaro.com/en/abs/co-occurrence-of-medical-conditions-exposing-patterns-through-probabilistic-topic-modeling-of-snomed-codes-2109.09199</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-occurrence-of-medical-conditions-exposing-patterns-through-probabilistic-topic-modeling-of-snomed-codes-2109.09199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-occurrence-of-medical-conditions-exposing-patterns-through-probabilistic-topic-modeling-of-snomed-codes-2109.09199"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-methods-for-identifying-atrial-fibrillation-cases-and-their-predictors-in-patients-with-hypertrophic-cardiomyopathy-the-hcm-af-risk-model-2109.09207</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-methods-for-identifying-atrial-fibrillation-cases-and-their-predictors-in-patients-with-hypertrophic-cardiomyopathy-the-hcm-af-risk-model-2109.09207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-methods-for-identifying-atrial-fibrillation-cases-and-their-predictors-in-patients-with-hypertrophic-cardiomyopathy-the-hcm-af-risk-model-2109.09207"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-ventricular-arrhythmias-and-their-predictors-by-applying-machine-learning-methods-to-electronic-health-records-in-patients-with-hypertrophic-cardiomyopathy-hcm-var-risk-model-2109.09210</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-ventricular-arrhythmias-and-their-predictors-by-applying-machine-learning-methods-to-electronic-health-records-in-patients-with-hypertrophic-cardiomyopathy-hcm-var-risk-model-2109.09210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-ventricular-arrhythmias-and-their-predictors-by-applying-machine-learning-methods-to-electronic-health-records-in-patients-with-hypertrophic-cardiomyopathy-hcm-var-risk-model-2109.09210"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-translation-and-scale-invariant-online-algorithm-for-adversarial-multi-armed-bandits-2109.09212</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-translation-and-scale-invariant-online-algorithm-for-adversarial-multi-armed-bandits-2109.09212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-translation-and-scale-invariant-online-algorithm-for-adversarial-multi-armed-bandits-2109.09212"/></url>
<url><loc>https://scifaro.com/en/abs/multiscale-manifold-warping-2109.09222</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiscale-manifold-warping-2109.09222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiscale-manifold-warping-2109.09222"/></url>
<url><loc>https://scifaro.com/en/abs/rethnicity-predicting-ethnicity-from-names-2109.09228</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rethnicity-predicting-ethnicity-from-names-2109.09228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rethnicity-predicting-ethnicity-from-names-2109.09228"/></url>
<url><loc>https://scifaro.com/en/abs/splitfed-learning-without-client-side-synchronization-analyzing-client-side-split-network-portion-size-to-overall-performance-2109.09246</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/splitfed-learning-without-client-side-synchronization-analyzing-client-side-split-network-portion-size-to-overall-performance-2109.09246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/splitfed-learning-without-client-side-synchronization-analyzing-client-side-split-network-portion-size-to-overall-performance-2109.09246"/></url>
<url><loc>https://scifaro.com/en/abs/computationally-efficient-high-dimensional-bayesian-optimization-via-variable-selection-2109.09264</loc><lastmod>2024-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computationally-efficient-high-dimensional-bayesian-optimization-via-variable-selection-2109.09264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computationally-efficient-high-dimensional-bayesian-optimization-via-variable-selection-2109.09264"/></url>
<url><loc>https://scifaro.com/en/abs/merlion-a-machine-learning-library-for-time-series-2109.09265</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/merlion-a-machine-learning-library-for-time-series-2109.09265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/merlion-a-machine-learning-library-for-time-series-2109.09265"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-continual-learning-in-streaming-environments-2109.09282</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-continual-learning-in-streaming-environments-2109.09282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-continual-learning-in-streaming-environments-2109.09282"/></url>
<url><loc>https://scifaro.com/en/abs/feature-correlation-aggregation-on-the-path-to-better-graph-neural-networks-2109.09300</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-correlation-aggregation-on-the-path-to-better-graph-neural-networks-2109.09300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-correlation-aggregation-on-the-path-to-better-graph-neural-networks-2109.09300"/></url>
<url><loc>https://scifaro.com/en/abs/assisted-learning-for-organizations-with-limited-imbalanced-data-2109.09307</loc><lastmod>2024-03-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assisted-learning-for-organizations-with-limited-imbalanced-data-2109.09307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assisted-learning-for-organizations-with-limited-imbalanced-data-2109.09307"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-the-relationship-between-world-development-indicators-and-the-occurrence-of-disease-outbreaks-in-the-21st-century-a-case-study-2109.09314</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-the-relationship-between-world-development-indicators-and-the-occurrence-of-disease-outbreaks-in-the-21st-century-a-case-study-2109.09314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-the-relationship-between-world-development-indicators-and-the-occurrence-of-disease-outbreaks-in-the-21st-century-a-case-study-2109.09314"/></url>
<url><loc>https://scifaro.com/en/abs/deep-spatio-temporal-sparse-decomposition-for-trend-prediction-and-anomaly-detection-in-cardiac-electrical-conduction-2109.09317</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-spatio-temporal-sparse-decomposition-for-trend-prediction-and-anomaly-detection-in-cardiac-electrical-conduction-2109.09317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-spatio-temporal-sparse-decomposition-for-trend-prediction-and-anomaly-detection-in-cardiac-electrical-conduction-2109.09317"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-sinusoidal-spaces-with-physics-informed-neural-networks-2109.09338</loc><lastmod>2022-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-sinusoidal-spaces-with-physics-informed-neural-networks-2109.09338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-sinusoidal-spaces-with-physics-informed-neural-networks-2109.09338"/></url>
<url><loc>https://scifaro.com/en/abs/extending-bootstrap-amg-for-clustering-of-attributed-graphs-2109.09367</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extending-bootstrap-amg-for-clustering-of-attributed-graphs-2109.09367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extending-bootstrap-amg-for-clustering-of-attributed-graphs-2109.09367"/></url>
<url><loc>https://scifaro.com/en/abs/deep-quantile-regression-for-uncertainty-estimation-in-unsupervised-and-supervised-lesion-detection-2109.09374</loc><lastmod>2022-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-quantile-regression-for-uncertainty-estimation-in-unsupervised-and-supervised-lesion-detection-2109.09374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-quantile-regression-for-uncertainty-estimation-in-unsupervised-and-supervised-lesion-detection-2109.09374"/></url>
<url><loc>https://scifaro.com/en/abs/a-meta-learning-approach-for-training-explainable-graph-neural-networks-2109.09426</loc><lastmod>2022-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-meta-learning-approach-for-training-explainable-graph-neural-networks-2109.09426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-meta-learning-approach-for-training-explainable-graph-neural-networks-2109.09426"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-optimality-for-decentralised-bandits-2109.09427</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-optimality-for-decentralised-bandits-2109.09427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-optimality-for-decentralised-bandits-2109.09427"/></url>
<url><loc>https://scifaro.com/en/abs/edge-similarity-aware-graph-neural-networks-2109.09432</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edge-similarity-aware-graph-neural-networks-2109.09432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edge-similarity-aware-graph-neural-networks-2109.09432"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-learning-techniques-for-online-human-activity-recognition-2109.09435</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-learning-techniques-for-online-human-activity-recognition-2109.09435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-learning-techniques-for-online-human-activity-recognition-2109.09435"/></url>
<url><loc>https://scifaro.com/en/abs/when-do-extended-physics-informed-neural-networks-xpinns-improve-generalization-2109.09444</loc><lastmod>2022-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-do-extended-physics-informed-neural-networks-xpinns-improve-generalization-2109.09444"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-do-extended-physics-informed-neural-networks-xpinns-improve-generalization-2109.09444"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-fairness-verification-with-graphical-models-2109.09447</loc><lastmod>2022-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-fairness-verification-with-graphical-models-2109.09447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-fairness-verification-with-graphical-models-2109.09447"/></url>
<url><loc>https://scifaro.com/en/abs/acrel-adversarial-conditional-value-at-risk-reinforcement-learning-2109.09470</loc><lastmod>2022-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/acrel-adversarial-conditional-value-at-risk-reinforcement-learning-2109.09470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/acrel-adversarial-conditional-value-at-risk-reinforcement-learning-2109.09470"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-tsetlin-machines-for-the-and-and-the-or-operators-2109.09488</loc><lastmod>2022-12-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-tsetlin-machines-for-the-and-and-the-or-operators-2109.09488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-tsetlin-machines-for-the-and-and-the-or-operators-2109.09488"/></url>
<url><loc>https://scifaro.com/en/abs/deepphysics-a-physics-aware-deep-learning-framework-for-real-time-simulation-2109.09491</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepphysics-a-physics-aware-deep-learning-framework-for-real-time-simulation-2109.09491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepphysics-a-physics-aware-deep-learning-framework-for-real-time-simulation-2109.09491"/></url>
<url><loc>https://scifaro.com/en/abs/ghostshiftaddnet-more-features-from-energy-efficient-operations-2109.09495</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ghostshiftaddnet-more-features-from-energy-efficient-operations-2109.09495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ghostshiftaddnet-more-features-from-energy-efficient-operations-2109.09495"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-methods-for-modelling-and-analysis-of-time-series-signals-in-geoinformatics-2109.09499</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-methods-for-modelling-and-analysis-of-time-series-signals-in-geoinformatics-2109.09499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-methods-for-modelling-and-analysis-of-time-series-signals-in-geoinformatics-2109.09499"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-domain-adaptation-with-non-stochastic-missing-data-2109.09505</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-with-non-stochastic-missing-data-2109.09505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-with-non-stochastic-missing-data-2109.09505"/></url>
<url><loc>https://scifaro.com/en/abs/decoupling-long-and-short-term-patterns-in-spatiotemporal-inference-2109.09506</loc><lastmod>2024-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupling-long-and-short-term-patterns-in-spatiotemporal-inference-2109.09506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupling-long-and-short-term-patterns-in-spatiotemporal-inference-2109.09506"/></url>
<url><loc>https://scifaro.com/en/abs/conditionally-parameterized-discretization-aware-neural-networks-for-mesh-based-modeling-of-physical-systems-2109.09510</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditionally-parameterized-discretization-aware-neural-networks-for-mesh-based-modeling-of-physical-systems-2109.09510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditionally-parameterized-discretization-aware-neural-networks-for-mesh-based-modeling-of-physical-systems-2109.09510"/></url>
<url><loc>https://scifaro.com/en/abs/a2log-attentive-augmented-log-anomaly-detection-2109.09537</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a2log-attentive-augmented-log-anomaly-detection-2109.09537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a2log-attentive-augmented-log-anomaly-detection-2109.09537"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-tensorflow-to-300-million-predictions-per-second-2109.09541</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-tensorflow-to-300-million-predictions-per-second-2109.09541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-tensorflow-to-300-million-predictions-per-second-2109.09541"/></url>
<url><loc>https://scifaro.com/en/abs/local-versions-of-sum-of-norms-clustering-2109.09589</loc><lastmod>2024-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-versions-of-sum-of-norms-clustering-2109.09589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-versions-of-sum-of-norms-clustering-2109.09589"/></url>
<url><loc>https://scifaro.com/en/abs/description-of-corner-cases-in-automated-driving-goals-and-challenges-2109.09607</loc><lastmod>2025-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/description-of-corner-cases-in-automated-driving-goals-and-challenges-2109.09607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/description-of-corner-cases-in-automated-driving-goals-and-challenges-2109.09607"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-neural-diversification-path-to-computationally-sustainable-neural-networks-2109.09612</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-neural-diversification-path-to-computationally-sustainable-neural-networks-2109.09612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-neural-diversification-path-to-computationally-sustainable-neural-networks-2109.09612"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-vehicles-parking-behaviour-in-shared-premises-for-aggregated-ev-electricity-demand-response-programs-2109.09666</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-vehicles-parking-behaviour-in-shared-premises-for-aggregated-ev-electricity-demand-response-programs-2109.09666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-vehicles-parking-behaviour-in-shared-premises-for-aggregated-ev-electricity-demand-response-programs-2109.09666"/></url>
<url><loc>https://scifaro.com/en/abs/reproducibility-study-comparing-rewinding-and-fine-tuning-in-neural-network-pruning-2109.09670</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reproducibility-study-comparing-rewinding-and-fine-tuning-in-neural-network-pruning-2109.09670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reproducibility-study-comparing-rewinding-and-fine-tuning-in-neural-network-pruning-2109.09670"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-regime-shifts-in-multiple-time-series-2109.09692</loc><lastmod>2022-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-regime-shifts-in-multiple-time-series-2109.09692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-regime-shifts-in-multiple-time-series-2109.09692"/></url>
<url><loc>https://scifaro.com/en/abs/neural-forecasting-at-scale-2109.09705</loc><lastmod>2022-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-forecasting-at-scale-2109.09705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-forecasting-at-scale-2109.09705"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-in-mean-field-games-by-learning-master-policies-2109.09717</loc><lastmod>2021-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-in-mean-field-games-by-learning-master-policies-2109.09717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-in-mean-field-games-by-learning-master-policies-2109.09717"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-hidden-symmetries-2109.09721</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-hidden-symmetries-2109.09721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-hidden-symmetries-2109.09721"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-severe-thunderstorm-events-with-ensemble-deep-learning-and-radar-data-2109.09791</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-severe-thunderstorm-events-with-ensemble-deep-learning-and-radar-data-2109.09791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-severe-thunderstorm-events-with-ensemble-deep-learning-and-radar-data-2109.09791"/></url>
<url><loc>https://scifaro.com/en/abs/improving-span-representation-for-domain-adapted-coreference-resolution-2109.09811</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-span-representation-for-domain-adapted-coreference-resolution-2109.09811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-span-representation-for-domain-adapted-coreference-resolution-2109.09811"/></url>
<url><loc>https://scifaro.com/en/abs/irnn-integer-only-recurrent-neural-network-2109.09828</loc><lastmod>2022-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/irnn-integer-only-recurrent-neural-network-2109.09828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/irnn-integer-only-recurrent-neural-network-2109.09828"/></url>
<url><loc>https://scifaro.com/en/abs/smac3-a-versatile-bayesian-optimization-package-for-hyperparameter-optimization-2109.09831</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smac3-a-versatile-bayesian-optimization-package-for-hyperparameter-optimization-2109.09831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smac3-a-versatile-bayesian-optimization-package-for-hyperparameter-optimization-2109.09831"/></url>
<url><loc>https://scifaro.com/en/abs/weak-signals-in-the-mobility-landscape-car-sharing-in-ten-european-cities-2109.09832</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weak-signals-in-the-mobility-landscape-car-sharing-in-ten-european-cities-2109.09832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weak-signals-in-the-mobility-landscape-car-sharing-in-ten-european-cities-2109.09832"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-the-characteristics-of-stochastic-gradient-noise-and-dynamics-2109.09833</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-the-characteristics-of-stochastic-gradient-noise-and-dynamics-2109.09833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-the-characteristics-of-stochastic-gradient-noise-and-dynamics-2109.09833"/></url>
<url><loc>https://scifaro.com/en/abs/fast-treeshap-accelerating-shap-value-computation-for-trees-2109.09847</loc><lastmod>2022-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-treeshap-accelerating-shap-value-computation-for-trees-2109.09847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-treeshap-accelerating-shap-value-computation-for-trees-2109.09847"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-finite-horizon-restless-multi-armed-multi-action-bandits-2109.09855</loc><lastmod>2022-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-finite-horizon-restless-multi-armed-multi-action-bandits-2109.09855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-finite-horizon-restless-multi-armed-multi-action-bandits-2109.09855"/></url>
<url><loc>https://scifaro.com/en/abs/sffdd-deep-neural-network-with-enriched-features-for-failure-prediction-with-its-application-to-computer-disk-driver-2109.09856</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sffdd-deep-neural-network-with-enriched-features-for-failure-prediction-with-its-application-to-computer-disk-driver-2109.09856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sffdd-deep-neural-network-with-enriched-features-for-failure-prediction-with-its-application-to-computer-disk-driver-2109.09856"/></url>
<url><loc>https://scifaro.com/en/abs/approxifer-a-model-agnostic-approach-to-resilient-and-robust-prediction-serving-systems-2109.09868</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approxifer-a-model-agnostic-approach-to-resilient-and-robust-prediction-serving-systems-2109.09868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approxifer-a-model-agnostic-approach-to-resilient-and-robust-prediction-serving-systems-2109.09868"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-analysis-of-deep-learning-frameworks-on-mobile-platforms-2109.09869</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-analysis-of-deep-learning-frameworks-on-mobile-platforms-2109.09869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-analysis-of-deep-learning-frameworks-on-mobile-platforms-2109.09869"/></url>
<url><loc>https://scifaro.com/en/abs/context-specific-representation-abstraction-for-deep-option-learning-2109.09876</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-specific-representation-abstraction-for-deep-option-learning-2109.09876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-specific-representation-abstraction-for-deep-option-learning-2109.09876"/></url>
<url><loc>https://scifaro.com/en/abs/chemical-reaction-aware-molecule-representation-learning-2109.09888</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chemical-reaction-aware-molecule-representation-learning-2109.09888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chemical-reaction-aware-molecule-representation-learning-2109.09888"/></url>
<url><loc>https://scifaro.com/en/abs/a-distance-based-anomaly-detection-framework-for-deep-reinforcement-learning-2109.09889</loc><lastmod>2024-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-distance-based-anomaly-detection-framework-for-deep-reinforcement-learning-2109.09889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-distance-based-anomaly-detection-framework-for-deep-reinforcement-learning-2109.09889"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-adversarial-noise-for-adversarial-training-2109.09901</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-adversarial-noise-for-adversarial-training-2109.09901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-adversarial-noise-for-adversarial-training-2109.09901"/></url>
<url><loc>https://scifaro.com/en/abs/meta-model-structure-selection-building-polynomial-narx-model-for-regression-and-classification-2109.09917</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-model-structure-selection-building-polynomial-narx-model-for-regression-and-classification-2109.09917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-model-structure-selection-building-polynomial-narx-model-for-regression-and-classification-2109.09917"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-with-trainable-matrix-activation-functions-2109.09948</loc><lastmod>2024-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-with-trainable-matrix-activation-functions-2109.09948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-with-trainable-matrix-activation-functions-2109.09948"/></url>
<url><loc>https://scifaro.com/en/abs/fakewake-understanding-and-mitigating-fake-wake-up-words-of-voice-assistants-2109.09958</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fakewake-understanding-and-mitigating-fake-wake-up-words-of-voice-assistants-2109.09958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fakewake-understanding-and-mitigating-fake-wake-up-words-of-voice-assistants-2109.09958"/></url>
<url><loc>https://scifaro.com/en/abs/fast-nonlinear-risk-assessment-for-autonomous-vehicles-using-learned-conditional-probabilistic-models-of-agent-futures-2109.09975</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-nonlinear-risk-assessment-for-autonomous-vehicles-using-learned-conditional-probabilistic-models-of-agent-futures-2109.09975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-nonlinear-risk-assessment-for-autonomous-vehicles-using-learned-conditional-probabilistic-models-of-agent-futures-2109.09975"/></url>
<url><loc>https://scifaro.com/en/abs/online-multi-horizon-transaction-metric-estimation-with-multi-modal-learning-in-payment-networks-2109.10020</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-multi-horizon-transaction-metric-estimation-with-multi-modal-learning-in-payment-networks-2109.10020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-multi-horizon-transaction-metric-estimation-with-multi-modal-learning-in-payment-networks-2109.10020"/></url>
<url><loc>https://scifaro.com/en/abs/stabilizing-elastic-weight-consolidation-method-in-practical-ml-tasks-and-using-weight-importances-for-neural-network-pruning-2109.10021</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stabilizing-elastic-weight-consolidation-method-in-practical-ml-tasks-and-using-weight-importances-for-neural-network-pruning-2109.10021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stabilizing-elastic-weight-consolidation-method-in-practical-ml-tasks-and-using-weight-importances-for-neural-network-pruning-2109.10021"/></url>
<url><loc>https://scifaro.com/en/abs/learning-offline-memory-replay-in-biological-and-artificial-reinforcement-learning-2109.10034</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-offline-memory-replay-in-biological-and-artificial-reinforcement-learning-2109.10034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-offline-memory-replay-in-biological-and-artificial-reinforcement-learning-2109.10034"/></url>
<url><loc>https://scifaro.com/en/abs/search-for-deep-graph-neural-networks-2109.10047</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/search-for-deep-graph-neural-networks-2109.10047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/search-for-deep-graph-neural-networks-2109.10047"/></url>
<url><loc>https://scifaro.com/en/abs/toward-a-fairness-aware-scoring-system-for-algorithmic-decision-making-2109.10053</loc><lastmod>2022-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-a-fairness-aware-scoring-system-for-algorithmic-decision-making-2109.10053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-a-fairness-aware-scoring-system-for-algorithmic-decision-making-2109.10053"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-for-graph-drawing-2109.10061</loc><lastmod>2022-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-for-graph-drawing-2109.10061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-for-graph-drawing-2109.10061"/></url>
<url><loc>https://scifaro.com/en/abs/scenario-generation-for-market-risk-models-using-generative-neural-networks-2109.10072</loc><lastmod>2023-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scenario-generation-for-market-risk-models-using-generative-neural-networks-2109.10072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scenario-generation-for-market-risk-models-using-generative-neural-networks-2109.10072"/></url>
<url><loc>https://scifaro.com/en/abs/deeptimeanomalyviz-a-tool-for-visualizing-and-post-processing-deep-learning-anomaly-detection-results-for-industrial-time-series-2109.10082</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeptimeanomalyviz-a-tool-for-visualizing-and-post-processing-deep-learning-anomaly-detection-results-for-industrial-time-series-2109.10082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeptimeanomalyviz-a-tool-for-visualizing-and-post-processing-deep-learning-anomaly-detection-results-for-industrial-time-series-2109.10082"/></url>
<url><loc>https://scifaro.com/en/abs/transferability-of-graph-neural-networks-an-extended-graphon-approach-2109.10096</loc><lastmod>2022-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferability-of-graph-neural-networks-an-extended-graphon-approach-2109.10096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferability-of-graph-neural-networks-an-extended-graphon-approach-2109.10096"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-structured-natural-gradient-descent-for-deep-learning-2109.10100</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-structured-natural-gradient-descent-for-deep-learning-2109.10100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-structured-natural-gradient-descent-for-deep-learning-2109.10100"/></url>
<url><loc>https://scifaro.com/en/abs/mgnn-generalizing-the-graph-neural-networks-to-the-multilayer-case-2109.10119</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mgnn-generalizing-the-graph-neural-networks-to-the-multilayer-case-2109.10119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mgnn-generalizing-the-graph-neural-networks-to-the-multilayer-case-2109.10119"/></url>
<url><loc>https://scifaro.com/en/abs/learning-low-degree-functions-from-a-logarithmic-number-of-random-queries-2109.10162</loc><lastmod>2022-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-low-degree-functions-from-a-logarithmic-number-of-random-queries-2109.10162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-low-degree-functions-from-a-logarithmic-number-of-random-queries-2109.10162"/></url>
<url><loc>https://scifaro.com/en/abs/long-term-exploration-in-persistent-mdps-2109.10173</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-term-exploration-in-persistent-mdps-2109.10173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-term-exploration-in-persistent-mdps-2109.10173"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-reliability-analysis-for-multi-fidelity-models-using-a-collective-learning-strategy-2109.10219</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-reliability-analysis-for-multi-fidelity-models-using-a-collective-learning-strategy-2109.10219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-reliability-analysis-for-multi-fidelity-models-using-a-collective-learning-strategy-2109.10219"/></url>
<url><loc>https://scifaro.com/en/abs/audiomer-a-convolutional-transformer-for-keyword-spotting-2109.10252</loc><lastmod>2022-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/audiomer-a-convolutional-transformer-for-keyword-spotting-2109.10252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/audiomer-a-convolutional-transformer-for-keyword-spotting-2109.10252"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-traffic-prediction-using-physics-aware-neural-networks-2109.10253</loc><lastmod>2023-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-traffic-prediction-using-physics-aware-neural-networks-2109.10253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-traffic-prediction-using-physics-aware-neural-networks-2109.10253"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-toolbox-an-open-source-library-for-assessing-visualizing-and-improving-uncertainty-quantification-2109.10254</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-toolbox-an-open-source-library-for-assessing-visualizing-and-improving-uncertainty-quantification-2109.10254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-toolbox-an-open-source-library-for-assessing-visualizing-and-improving-uncertainty-quantification-2109.10254"/></url>
<url><loc>https://scifaro.com/en/abs/autogcl-automated-graph-contrastive-learning-via-learnable-view-generators-2109.10259</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autogcl-automated-graph-contrastive-learning-via-learnable-view-generators-2109.10259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autogcl-automated-graph-contrastive-learning-via-learnable-view-generators-2109.10259"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-single-and-multitask-learning-for-predicting-cognitive-decline-based-on-mri-data-2109.10266</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-single-and-multitask-learning-for-predicting-cognitive-decline-based-on-mri-data-2109.10266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-single-and-multitask-learning-for-predicting-cognitive-decline-based-on-mri-data-2109.10266"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-feature-block-importance-in-artificial-multiblock-neural-networks-2109.10279</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-feature-block-importance-in-artificial-multiblock-neural-networks-2109.10279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-feature-block-importance-in-artificial-multiblock-neural-networks-2109.10279"/></url>
<url><loc>https://scifaro.com/en/abs/assured-neural-network-architectures-for-control-and-identification-of-nonlinear-systems-2109.10298</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assured-neural-network-architectures-for-control-and-identification-of-nonlinear-systems-2109.10298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assured-neural-network-architectures-for-control-and-identification-of-nonlinear-systems-2109.10298"/></url>
<url><loc>https://scifaro.com/en/abs/learning-pac-bayes-priors-for-probabilistic-neural-networks-2109.10304</loc><lastmod>2021-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-pac-bayes-priors-for-probabilistic-neural-networks-2109.10304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-pac-bayes-priors-for-probabilistic-neural-networks-2109.10304"/></url>
<url><loc>https://scifaro.com/en/abs/introduction-to-neural-network-verification-2109.10317</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introduction-to-neural-network-verification-2109.10317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introduction-to-neural-network-verification-2109.10317"/></url>
<url><loc>https://scifaro.com/en/abs/deep-policies-for-online-bipartite-matching-a-reinforcement-learning-approach-2109.10380</loc><lastmod>2022-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-policies-for-online-bipartite-matching-a-reinforcement-learning-approach-2109.10380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-policies-for-online-bipartite-matching-a-reinforcement-learning-approach-2109.10380"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-without-imputation-a-decision-tree-approach-for-fair-prediction-with-missing-values-2109.10431</loc><lastmod>2022-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-without-imputation-a-decision-tree-approach-for-fair-prediction-with-missing-values-2109.10431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-without-imputation-a-decision-tree-approach-for-fair-prediction-with-missing-values-2109.10431"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-discriminant-patterns-on-the-robustness-of-decision-rule-ensembles-2109.10432</loc><lastmod>2025-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-discriminant-patterns-on-the-robustness-of-decision-rule-ensembles-2109.10432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-discriminant-patterns-on-the-robustness-of-decision-rule-ensembles-2109.10432"/></url>
<url><loc>https://scifaro.com/en/abs/classification-with-nearest-disjoint-centroids-2109.10436</loc><lastmod>2022-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-with-nearest-disjoint-centroids-2109.10436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-with-nearest-disjoint-centroids-2109.10436"/></url>
<url><loc>https://scifaro.com/en/abs/selecting-datasets-for-evaluating-an-enhanced-deep-learning-framework-2109.10442</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selecting-datasets-for-evaluating-an-enhanced-deep-learning-framework-2109.10442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selecting-datasets-for-evaluating-an-enhanced-deep-learning-framework-2109.10442"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-counterfactual-fairness-for-causal-bandit-2109.10458</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-counterfactual-fairness-for-causal-bandit-2109.10458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-counterfactual-fairness-for-causal-bandit-2109.10458"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-scaffolding-tree-for-molecular-optimization-2109.10469</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-scaffolding-tree-for-molecular-optimization-2109.10469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-scaffolding-tree-for-molecular-optimization-2109.10469"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-learning-to-prove-equivalence-between-straight-line-programs-via-rewrite-rules-2109.10476</loc><lastmod>2023-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-learning-to-prove-equivalence-between-straight-line-programs-via-rewrite-rules-2109.10476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-learning-to-prove-equivalence-between-straight-line-programs-via-rewrite-rules-2109.10476"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-lane-changing-decision-making-for-deep-reinforcement-learning-2109.10490</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-lane-changing-decision-making-for-deep-reinforcement-learning-2109.10490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-lane-changing-decision-making-for-deep-reinforcement-learning-2109.10490"/></url>
<url><loc>https://scifaro.com/en/abs/a-spectral-approach-to-off-policy-evaluation-for-pomdps-2109.10502</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spectral-approach-to-off-policy-evaluation-for-pomdps-2109.10502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spectral-approach-to-off-policy-evaluation-for-pomdps-2109.10502"/></url>
<url><loc>https://scifaro.com/en/abs/backdoor-attacks-on-federated-learning-with-lottery-ticket-hypothesis-2109.10512</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/backdoor-attacks-on-federated-learning-with-lottery-ticket-hypothesis-2109.10512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/backdoor-attacks-on-federated-learning-with-lottery-ticket-hypothesis-2109.10512"/></url>
<url><loc>https://scifaro.com/en/abs/cram-er-rao-bound-informed-training-of-neural-networks-for-quantitative-mri-2109.10535</loc><lastmod>2022-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cram-er-rao-bound-informed-training-of-neural-networks-for-quantitative-mri-2109.10535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cram-er-rao-bound-informed-training-of-neural-networks-for-quantitative-mri-2109.10535"/></url>
<url><loc>https://scifaro.com/en/abs/index-t-sne-tracking-dynamics-of-high-dimensional-datasets-with-coherent-embeddings-2109.10538</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/index-t-sne-tracking-dynamics-of-high-dimensional-datasets-with-coherent-embeddings-2109.10538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/index-t-sne-tracking-dynamics-of-high-dimensional-datasets-with-coherent-embeddings-2109.10538"/></url>
<url><loc>https://scifaro.com/en/abs/mepg-a-minimalist-ensemble-policy-gradient-framework-for-deep-reinforcement-learning-2109.10552</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mepg-a-minimalist-ensemble-policy-gradient-framework-for-deep-reinforcement-learning-2109.10552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mepg-a-minimalist-ensemble-policy-gradient-framework-for-deep-reinforcement-learning-2109.10552"/></url>
<url><loc>https://scifaro.com/en/abs/the-curse-revisited-when-are-distances-informative-for-the-ground-truth-in-noisy-high-dimensional-data-2109.10569</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-curse-revisited-when-are-distances-informative-for-the-ground-truth-in-noisy-high-dimensional-data-2109.10569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-curse-revisited-when-are-distances-informative-for-the-ground-truth-in-noisy-high-dimensional-data-2109.10569"/></url>
<url><loc>https://scifaro.com/en/abs/an-automatic-differentiation-system-for-the-age-of-differential-privacy-2109.10573</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-automatic-differentiation-system-for-the-age-of-differential-privacy-2109.10573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-automatic-differentiation-system-for-the-age-of-differential-privacy-2109.10573"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-with-clustering-and-rollback-for-cnn-auto-pruning-2109.10591</loc><lastmod>2022-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-with-clustering-and-rollback-for-cnn-auto-pruning-2109.10591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-with-clustering-and-rollback-for-cnn-auto-pruning-2109.10591"/></url>
<url><loc>https://scifaro.com/en/abs/emulating-aerosol-microphysics-with-machine-learning-2109.10593</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emulating-aerosol-microphysics-with-machine-learning-2109.10593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emulating-aerosol-microphysics-with-machine-learning-2109.10593"/></url>
<url><loc>https://scifaro.com/en/abs/fully-probabilistic-design-for-knowledge-fusion-between-bayesian-filters-under-uniform-disturbances-2109.10596</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-probabilistic-design-for-knowledge-fusion-between-bayesian-filters-under-uniform-disturbances-2109.10596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-probabilistic-design-for-knowledge-fusion-between-bayesian-filters-under-uniform-disturbances-2109.10596"/></url>
<url><loc>https://scifaro.com/en/abs/diarisation-using-location-tracking-with-agglomerative-clustering-2109.10598</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diarisation-using-location-tracking-with-agglomerative-clustering-2109.10598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diarisation-using-location-tracking-with-agglomerative-clustering-2109.10598"/></url>
<url><loc>https://scifaro.com/en/abs/ldc-vae-a-latent-distribution-consistency-approach-to-variational-autoencoders-2109.10640</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ldc-vae-a-latent-distribution-consistency-approach-to-variational-autoencoders-2109.10640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ldc-vae-a-latent-distribution-consistency-approach-to-variational-autoencoders-2109.10640"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-learning-of-tree-structured-gaussian-graphical-models-from-noisy-data-2109.10642</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-learning-of-tree-structured-gaussian-graphical-models-from-noisy-data-2109.10642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-learning-of-tree-structured-gaussian-graphical-models-from-noisy-data-2109.10642"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-neural-message-passing-for-inductive-learning-on-hypergraphs-2109.10683</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-neural-message-passing-for-inductive-learning-on-hypergraphs-2109.10683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-neural-message-passing-for-inductive-learning-on-hypergraphs-2109.10683"/></url>
<url><loc>https://scifaro.com/en/abs/cc-cert-a-probabilistic-approach-to-certify-general-robustness-of-neural-networks-2109.10696</loc><lastmod>2022-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cc-cert-a-probabilistic-approach-to-certify-general-robustness-of-neural-networks-2109.10696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cc-cert-a-probabilistic-approach-to-certify-general-robustness-of-neural-networks-2109.10696"/></url>
<url><loc>https://scifaro.com/en/abs/estimation-error-correction-in-deep-reinforcement-learning-for-deterministic-actor-critic-methods-2109.10736</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimation-error-correction-in-deep-reinforcement-learning-for-deterministic-actor-critic-methods-2109.10736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimation-error-correction-in-deep-reinforcement-learning-for-deterministic-actor-critic-methods-2109.10736"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-movement-detection-in-indoor-positioning-systems-of-production-halls-2109.10757</loc><lastmod>2023-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-movement-detection-in-indoor-positioning-systems-of-production-halls-2109.10757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-movement-detection-in-indoor-positioning-systems-of-production-halls-2109.10757"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-adversarial-examples-for-efficient-active-learning-in-machine-learning-classifiers-2109.10770</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-adversarial-examples-for-efficient-active-learning-in-machine-learning-classifiers-2109.10770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-adversarial-examples-for-efficient-active-learning-in-machine-learning-classifiers-2109.10770"/></url>
<url><loc>https://scifaro.com/en/abs/introducing-symmetries-to-black-box-meta-reinforcement-learning-2109.10781</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introducing-symmetries-to-black-box-meta-reinforcement-learning-2109.10781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introducing-symmetries-to-black-box-meta-reinforcement-learning-2109.10781"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-relief-a-pruning-algorithm-based-on-neural-activity-2109.10795</loc><lastmod>2024-03-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-relief-a-pruning-algorithm-based-on-neural-activity-2109.10795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-relief-a-pruning-algorithm-based-on-neural-activity-2109.10795"/></url>
<url><loc>https://scifaro.com/en/abs/improved-multi-label-classification-with-frequent-label-set-mining-and-association-2109.10797</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-multi-label-classification-with-frequent-label-set-mining-and-association-2109.10797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-multi-label-classification-with-frequent-label-set-mining-and-association-2109.10797"/></url>
<url><loc>https://scifaro.com/en/abs/multi-slice-clustering-for-3-order-tensor-data-2109.10803</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-slice-clustering-for-3-order-tensor-data-2109.10803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-slice-clustering-for-3-order-tensor-data-2109.10803"/></url>
<url><loc>https://scifaro.com/en/abs/a-workflow-for-offline-model-free-robotic-reinforcement-learning-2109.10813</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-workflow-for-offline-model-free-robotic-reinforcement-learning-2109.10813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-workflow-for-offline-model-free-robotic-reinforcement-learning-2109.10813"/></url>
<url><loc>https://scifaro.com/en/abs/causal-inference-in-non-linear-time-series-using-deep-networks-and-knockoff-counterfactuals-2109.10817</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-inference-in-non-linear-time-series-using-deep-networks-and-knockoff-counterfactuals-2109.10817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-inference-in-non-linear-time-series-using-deep-networks-and-knockoff-counterfactuals-2109.10817"/></url>
<url><loc>https://scifaro.com/en/abs/learning-by-examples-based-on-multi-level-optimization-2109.10824</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-by-examples-based-on-multi-level-optimization-2109.10824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-by-examples-based-on-multi-level-optimization-2109.10824"/></url>
<url><loc>https://scifaro.com/en/abs/small-bench-nlp-benchmark-for-small-single-gpu-trained-models-in-natural-language-processing-2109.10847</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/small-bench-nlp-benchmark-for-small-single-gpu-trained-models-in-natural-language-processing-2109.10847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/small-bench-nlp-benchmark-for-small-single-gpu-trained-models-in-natural-language-processing-2109.10847"/></url>
<url><loc>https://scifaro.com/en/abs/a-physics-inspired-functional-operator-for-model-uncertainty-quantification-in-the-rkhs-2109.10888</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-physics-inspired-functional-operator-for-model-uncertainty-quantification-in-the-rkhs-2109.10888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-physics-inspired-functional-operator-for-model-uncertainty-quantification-in-the-rkhs-2109.10888"/></url>
<url><loc>https://scifaro.com/en/abs/updating-embeddings-for-dynamic-knowledge-graphs-2109.10896</loc><lastmod>2021-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/updating-embeddings-for-dynamic-knowledge-graphs-2109.10896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/updating-embeddings-for-dynamic-knowledge-graphs-2109.10896"/></url>
<url><loc>https://scifaro.com/en/abs/the-camels-multifield-dataset-learning-the-universe-s-fundamental-parameters-with-artificial-intelligence-2109.10915</loc><lastmod>2022-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-camels-multifield-dataset-learning-the-universe-s-fundamental-parameters-with-artificial-intelligence-2109.10915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-camels-multifield-dataset-learning-the-universe-s-fundamental-parameters-with-artificial-intelligence-2109.10915"/></url>
<url><loc>https://scifaro.com/en/abs/robust-generalization-of-quadratic-neural-networks-via-function-identification-2109.10935</loc><lastmod>2022-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-generalization-of-quadratic-neural-networks-via-function-identification-2109.10935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-generalization-of-quadratic-neural-networks-via-function-identification-2109.10935"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-bayesian-optimization-over-high-dimensional-search-spaces-2109.10964</loc><lastmod>2022-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-bayesian-optimization-over-high-dimensional-search-spaces-2109.10964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-bayesian-optimization-over-high-dimensional-search-spaces-2109.10964"/></url>
<url><loc>https://scifaro.com/en/abs/a-profile-based-binary-feature-extraction-method-using-frequent-itemsets-for-improving-coronary-artery-disease-diagnosis-2109.10966</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-profile-based-binary-feature-extraction-method-using-frequent-itemsets-for-improving-coronary-artery-disease-diagnosis-2109.10966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-profile-based-binary-feature-extraction-method-using-frequent-itemsets-for-improving-coronary-artery-disease-diagnosis-2109.10966"/></url>
<url><loc>https://scifaro.com/en/abs/security-analysis-of-capsule-network-inference-using-horizontal-collaboration-2109.11041</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/security-analysis-of-capsule-network-inference-using-horizontal-collaboration-2109.11041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/security-analysis-of-capsule-network-inference-using-horizontal-collaboration-2109.11041"/></url>
<url><loc>https://scifaro.com/en/abs/learning-predictive-and-interpretable-timeseries-summaries-from-icu-data-2109.11043</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-predictive-and-interpretable-timeseries-summaries-from-icu-data-2109.11043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-predictive-and-interpretable-timeseries-summaries-from-icu-data-2109.11043"/></url>
<url><loc>https://scifaro.com/en/abs/on-bonus-based-exploration-methods-in-the-arcade-learning-environment-2109.11052</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-bonus-based-exploration-methods-in-the-arcade-learning-environment-2109.11052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-bonus-based-exploration-methods-in-the-arcade-learning-environment-2109.11052"/></url>
<url><loc>https://scifaro.com/en/abs/automated-feature-topic-pairing-aligning-semantic-and-embedding-spaces-in-spatial-representation-learning-2109.11053</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-feature-topic-pairing-aligning-semantic-and-embedding-spaces-in-spatial-representation-learning-2109.11053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-feature-topic-pairing-aligning-semantic-and-embedding-spaces-in-spatial-representation-learning-2109.11053"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-stress-in-remote-learning-via-advanced-deep-learning-technologies-2109.11076</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-stress-in-remote-learning-via-advanced-deep-learning-technologies-2109.11076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-stress-in-remote-learning-via-advanced-deep-learning-technologies-2109.11076"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-transfer-attacks-with-unknown-data-and-class-overlap-2109.11125</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-transfer-attacks-with-unknown-data-and-class-overlap-2109.11125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-transfer-attacks-with-unknown-data-and-class-overlap-2109.11125"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-cluster-and-classifier-evaluation-in-the-absence-of-reference-labels-2109.11126</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-cluster-and-classifier-evaluation-in-the-absence-of-reference-labels-2109.11126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-cluster-and-classifier-evaluation-in-the-absence-of-reference-labels-2109.11126"/></url>
<url><loc>https://scifaro.com/en/abs/toward-a-unified-framework-for-debugging-concept-based-models-2109.11160</loc><lastmod>2022-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-a-unified-framework-for-debugging-concept-based-models-2109.11160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-a-unified-framework-for-debugging-concept-based-models-2109.11160"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-timing-of-camera-movements-from-the-kinematics-of-instruments-in-robotic-assisted-surgery-using-artificial-neural-networks-2109.11192</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-timing-of-camera-movements-from-the-kinematics-of-instruments-in-robotic-assisted-surgery-using-artificial-neural-networks-2109.11192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-timing-of-camera-movements-from-the-kinematics-of-instruments-in-robotic-assisted-surgery-using-artificial-neural-networks-2109.11192"/></url>
<url><loc>https://scifaro.com/en/abs/secure-pac-bayesian-regression-via-real-shamir-secret-sharing-2109.11200</loc><lastmod>2023-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secure-pac-bayesian-regression-via-real-shamir-secret-sharing-2109.11200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secure-pac-bayesian-regression-via-real-shamir-secret-sharing-2109.11200"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-contrastive-self-supervised-learning-of-accounting-data-representations-for-downstream-audit-tasks-2109.11201</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-contrastive-self-supervised-learning-of-accounting-data-representations-for-downstream-audit-tasks-2109.11201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-contrastive-self-supervised-learning-of-accounting-data-representations-for-downstream-audit-tasks-2109.11201"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-loss-functions-for-multilabel-classification-with-missing-labels-2109.11282</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-loss-functions-for-multilabel-classification-with-missing-labels-2109.11282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-loss-functions-for-multilabel-classification-with-missing-labels-2109.11282"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-cost-types-interaction-schemes-and-annotator-performance-models-in-selection-algorithms-for-active-learning-in-classification-2109.11301</loc><lastmod>2022-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-cost-types-interaction-schemes-and-annotator-performance-models-in-selection-algorithms-for-active-learning-in-classification-2109.11301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-cost-types-interaction-schemes-and-annotator-performance-models-in-selection-algorithms-for-active-learning-in-classification-2109.11301"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-for-argument-strength-estimation-2109.11319</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-for-argument-strength-estimation-2109.11319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-for-argument-strength-estimation-2109.11319"/></url>
<url><loc>https://scifaro.com/en/abs/federated-feature-selection-for-cyber-physical-systems-of-systems-2109.11323</loc><lastmod>2022-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-feature-selection-for-cyber-physical-systems-of-systems-2109.11323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-feature-selection-for-cyber-physical-systems-of-systems-2109.11323"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-under-algorithmic-triage-2109.11328</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-under-algorithmic-triage-2109.11328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-under-algorithmic-triage-2109.11328"/></url>
<url><loc>https://scifaro.com/en/abs/orthogonal-graph-neural-networks-2109.11338</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orthogonal-graph-neural-networks-2109.11338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orthogonal-graph-neural-networks-2109.11338"/></url>
<url><loc>https://scifaro.com/en/abs/arbitrary-depth-universal-approximation-theorems-for-operator-neural-networks-2109.11354</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arbitrary-depth-universal-approximation-theorems-for-operator-neural-networks-2109.11354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arbitrary-depth-universal-approximation-theorems-for-operator-neural-networks-2109.11354"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-normalizing-flows-for-inverse-problems-a-markov-chains-viewpoint-2109.11375</loc><lastmod>2022-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-normalizing-flows-for-inverse-problems-a-markov-chains-viewpoint-2109.11375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-normalizing-flows-for-inverse-problems-a-markov-chains-viewpoint-2109.11375"/></url>
<url><loc>https://scifaro.com/en/abs/wrench-a-comprehensive-benchmark-for-weak-supervision-2109.11377</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wrench-a-comprehensive-benchmark-for-weak-supervision-2109.11377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wrench-a-comprehensive-benchmark-for-weak-supervision-2109.11377"/></url>
<url><loc>https://scifaro.com/en/abs/fast-density-estimation-for-density-based-clustering-methods-2109.11383</loc><lastmod>2022-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-density-estimation-for-density-based-clustering-methods-2109.11383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-density-estimation-for-density-based-clustering-methods-2109.11383"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-robustly-aggregate-labeling-functions-for-semi-supervised-data-programming-2109.11410</loc><lastmod>2022-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-robustly-aggregate-labeling-functions-for-semi-supervised-data-programming-2109.11410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-robustly-aggregate-labeling-functions-for-semi-supervised-data-programming-2109.11410"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-bayesian-network-structure-learning-2109.11415</loc><lastmod>2022-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-bayesian-network-structure-learning-2109.11415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-bayesian-network-structure-learning-2109.11415"/></url>
<url><loc>https://scifaro.com/en/abs/programming-and-training-rate-independent-chemical-reaction-networks-2109.11422</loc><lastmod>2022-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/programming-and-training-rate-independent-chemical-reaction-networks-2109.11422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/programming-and-training-rate-independent-chemical-reaction-networks-2109.11422"/></url>
<url><loc>https://scifaro.com/en/abs/an-evaluation-of-anomaly-detection-and-diagnosis-in-multivariate-time-series-2109.11428</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-evaluation-of-anomaly-detection-and-diagnosis-in-multivariate-time-series-2109.11428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-evaluation-of-anomaly-detection-and-diagnosis-in-multivariate-time-series-2109.11428"/></url>
<url><loc>https://scifaro.com/en/abs/robin-hood-and-matthew-effects-differential-privacy-has-disparate-impact-on-synthetic-data-2109.11429</loc><lastmod>2022-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robin-hood-and-matthew-effects-differential-privacy-has-disparate-impact-on-synthetic-data-2109.11429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robin-hood-and-matthew-effects-differential-privacy-has-disparate-impact-on-synthetic-data-2109.11429"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-machine-teaching-with-children-2109.11434</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-machine-teaching-with-children-2109.11434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-machine-teaching-with-children-2109.11434"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dynamics-from-noisy-measurements-using-deep-learning-with-a-runge-kutta-constraint-2109.11446</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dynamics-from-noisy-measurements-using-deep-learning-with-a-runge-kutta-constraint-2109.11446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dynamics-from-noisy-measurements-using-deep-learning-with-a-runge-kutta-constraint-2109.11446"/></url>
<url><loc>https://scifaro.com/en/abs/multidimensional-scaling-approximation-and-complexity-2109.11505</loc><lastmod>2021-09-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multidimensional-scaling-approximation-and-complexity-2109.11505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multidimensional-scaling-approximation-and-complexity-2109.11505"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-robust-sparse-estimation-via-non-convex-optimization-2109.11515</loc><lastmod>2022-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-robust-sparse-estimation-via-non-convex-optimization-2109.11515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-robust-sparse-estimation-via-non-convex-optimization-2109.11515"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-interpretable-graph-neural-network-representation-for-angle-dependent-properties-and-its-application-to-optical-spectroscopy-2109.11576</loc><lastmod>2022-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-interpretable-graph-neural-network-representation-for-angle-dependent-properties-and-its-application-to-optical-spectroscopy-2109.11576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-interpretable-graph-neural-network-representation-for-angle-dependent-properties-and-its-application-to-optical-spectroscopy-2109.11576"/></url>
<url><loc>https://scifaro.com/en/abs/text-ranking-and-classification-using-data-compression-2109.11577</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/text-ranking-and-classification-using-data-compression-2109.11577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/text-ranking-and-classification-using-data-compression-2109.11577"/></url>
<url><loc>https://scifaro.com/en/abs/regret-lower-bound-and-optimal-algorithm-for-high-dimensional-contextual-linear-bandit-2109.11612</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regret-lower-bound-and-optimal-algorithm-for-high-dimensional-contextual-linear-bandit-2109.11612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regret-lower-bound-and-optimal-algorithm-for-high-dimensional-contextual-linear-bandit-2109.11612"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-networks-for-partially-observed-dynamical-systems-2109.11629</loc><lastmod>2022-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-networks-for-partially-observed-dynamical-systems-2109.11629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-networks-for-partially-observed-dynamical-systems-2109.11629"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-with-kernel-flow-regularization-for-time-series-forecasting-2109.11649</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-with-kernel-flow-regularization-for-time-series-forecasting-2109.11649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-with-kernel-flow-regularization-for-time-series-forecasting-2109.11649"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-based-long-range-autonomous-valet-parking-for-smart-cities-2109.11661</loc><lastmod>2022-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-based-long-range-autonomous-valet-parking-for-smart-cities-2109.11661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-based-long-range-autonomous-valet-parking-for-smart-cities-2109.11661"/></url>
<url><loc>https://scifaro.com/en/abs/improved-optimization-strategies-for-deep-multi-task-networks-2109.11678</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-optimization-strategies-for-deep-multi-task-networks-2109.11678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-optimization-strategies-for-deep-multi-task-networks-2109.11678"/></url>
<url><loc>https://scifaro.com/en/abs/dimension-free-rates-for-natural-policy-gradient-in-multi-agent-reinforcement-learning-2109.11692</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimension-free-rates-for-natural-policy-gradient-in-multi-agent-reinforcement-learning-2109.11692"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimension-free-rates-for-natural-policy-gradient-in-multi-agent-reinforcement-learning-2109.11692"/></url>
<url><loc>https://scifaro.com/en/abs/an-improved-frequent-directions-algorithm-for-low-rank-approximation-via-block-krylov-iteration-2109.11703</loc><lastmod>2022-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-improved-frequent-directions-algorithm-for-low-rank-approximation-via-block-krylov-iteration-2109.11703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-improved-frequent-directions-algorithm-for-low-rank-approximation-via-block-krylov-iteration-2109.11703"/></url>
<url><loc>https://scifaro.com/en/abs/online-adaptation-of-parameters-using-gru-based-neural-network-with-bo-for-accurate-driving-model-2109.11720</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-adaptation-of-parameters-using-gru-based-neural-network-with-bo-for-accurate-driving-model-2109.11720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-adaptation-of-parameters-using-gru-based-neural-network-with-bo-for-accurate-driving-model-2109.11720"/></url>
<url><loc>https://scifaro.com/en/abs/geomgcl-geometric-graph-contrastive-learning-for-molecular-property-prediction-2109.11730</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geomgcl-geometric-graph-contrastive-learning-for-molecular-property-prediction-2109.11730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geomgcl-geometric-graph-contrastive-learning-for-molecular-property-prediction-2109.11730"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-neural-trip-recommendation-2109.11731</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-neural-trip-recommendation-2109.11731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-neural-trip-recommendation-2109.11731"/></url>
<url><loc>https://scifaro.com/en/abs/holistic-semi-supervised-approaches-for-eeg-representation-learning-2109.11732</loc><lastmod>2022-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/holistic-semi-supervised-approaches-for-eeg-representation-learning-2109.11732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/holistic-semi-supervised-approaches-for-eeg-representation-learning-2109.11732"/></url>
<url><loc>https://scifaro.com/en/abs/improved-soft-actor-critic-mixing-prioritized-off-policy-samples-with-on-policy-experience-2109.11767</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-soft-actor-critic-mixing-prioritized-off-policy-samples-with-on-policy-experience-2109.11767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-soft-actor-critic-mixing-prioritized-off-policy-samples-with-on-policy-experience-2109.11767"/></url>
<url><loc>https://scifaro.com/en/abs/non-euclidean-self-organizing-maps-2109.11769</loc><lastmod>2024-08-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-euclidean-self-organizing-maps-2109.11769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-euclidean-self-organizing-maps-2109.11769"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-free-reduction-of-the-estimation-bias-in-deep-reinforcement-learning-for-deterministic-policy-gradients-2109.11788</loc><lastmod>2022-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-free-reduction-of-the-estimation-bias-in-deep-reinforcement-learning-for-deterministic-policy-gradients-2109.11788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-free-reduction-of-the-estimation-bias-in-deep-reinforcement-learning-for-deterministic-policy-gradients-2109.11788"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-guarantees-generalization-in-bayesian-reinforcement-learning-through-algorithmic-stability-2109.11792</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-guarantees-generalization-in-bayesian-reinforcement-learning-through-algorithmic-stability-2109.11792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-guarantees-generalization-in-bayesian-reinforcement-learning-through-algorithmic-stability-2109.11792"/></url>
<url><loc>https://scifaro.com/en/abs/edge-but-not-least-cross-view-graph-pooling-2109.11796</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edge-but-not-least-cross-view-graph-pooling-2109.11796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edge-but-not-least-cross-view-graph-pooling-2109.11796"/></url>
<url><loc>https://scifaro.com/en/abs/local-intrinsic-dimensionality-signals-adversarial-perturbations-2109.11803</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-intrinsic-dimensionality-signals-adversarial-perturbations-2109.11803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-intrinsic-dimensionality-signals-adversarial-perturbations-2109.11803"/></url>
<url><loc>https://scifaro.com/en/abs/a-dynamic-programming-algorithm-for-finding-an-optimal-sequence-of-informative-measurements-2109.11808</loc><lastmod>2023-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dynamic-programming-algorithm-for-finding-an-optimal-sequence-of-informative-measurements-2109.11808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dynamic-programming-algorithm-for-finding-an-optimal-sequence-of-informative-measurements-2109.11808"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-gradient-estimation-with-balanced-assignments-for-mixtures-of-experts-2109.11817</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-gradient-estimation-with-balanced-assignments-for-mixtures-of-experts-2109.11817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-gradient-estimation-with-balanced-assignments-for-mixtures-of-experts-2109.11817"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-latent-force-model-inference-2109.11851</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-latent-force-model-inference-2109.11851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-latent-force-model-inference-2109.11851"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multi-layered-gbdt-via-back-propagation-2109.11863</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multi-layered-gbdt-via-back-propagation-2109.11863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multi-layered-gbdt-via-back-propagation-2109.11863"/></url>
<url><loc>https://scifaro.com/en/abs/the-f-divergence-reinforcement-learning-framework-2109.11867</loc><lastmod>2021-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-f-divergence-reinforcement-learning-framework-2109.11867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-f-divergence-reinforcement-learning-framework-2109.11867"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-spending-behavior-recurrent-neural-network-explanation-and-interpretation-2109.11871</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-spending-behavior-recurrent-neural-network-explanation-and-interpretation-2109.11871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-spending-behavior-recurrent-neural-network-explanation-and-interpretation-2109.11871"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-maximize-global-influence-from-local-observations-2109.11909</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-maximize-global-influence-from-local-observations-2109.11909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-maximize-global-influence-from-local-observations-2109.11909"/></url>
<url><loc>https://scifaro.com/en/abs/optimisation-of-mcts-player-for-the-lord-of-the-rings-the-card-game-2109.12001</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimisation-of-mcts-player-for-the-lord-of-the-rings-the-card-game-2109.12001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimisation-of-mcts-player-for-the-lord-of-the-rings-the-card-game-2109.12001"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-estimation-of-sparse-inverse-covariances-2109.12020</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-estimation-of-sparse-inverse-covariances-2109.12020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-estimation-of-sparse-inverse-covariances-2109.12020"/></url>
<url><loc>https://scifaro.com/en/abs/description-based-label-attention-classifier-for-explainable-icd-9-classification-2109.12026</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/description-based-label-attention-classifier-for-explainable-icd-9-classification-2109.12026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/description-based-label-attention-classifier-for-explainable-icd-9-classification-2109.12026"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-model-evaluation-2109.12043</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-model-evaluation-2109.12043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-model-evaluation-2109.12043"/></url>
<url><loc>https://scifaro.com/en/abs/sgde-secure-generative-data-exchange-for-cross-silo-federated-learning-2109.12062</loc><lastmod>2022-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgde-secure-generative-data-exchange-for-cross-silo-federated-learning-2109.12062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgde-secure-generative-data-exchange-for-cross-silo-federated-learning-2109.12062"/></url>
<url><loc>https://scifaro.com/en/abs/reduced-lead-ecg-classifier-model-trained-with-dividemix-and-model-ensemble-2109.12063</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reduced-lead-ecg-classifier-model-trained-with-dividemix-and-model-ensemble-2109.12063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reduced-lead-ecg-classifier-model-trained-with-dividemix-and-model-ensemble-2109.12063"/></url>
<url><loc>https://scifaro.com/en/abs/a-graph-policy-network-approach-for-volt-var-control-in-power-distribution-systems-2109.12073</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-graph-policy-network-approach-for-volt-var-control-in-power-distribution-systems-2109.12073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-graph-policy-network-approach-for-volt-var-control-in-power-distribution-systems-2109.12073"/></url>
<url><loc>https://scifaro.com/en/abs/deep-social-force-2109.12081</loc><lastmod>2021-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-social-force-2109.12081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-social-force-2109.12081"/></url>
<url><loc>https://scifaro.com/en/abs/accurate-remaining-useful-life-prediction-with-uncertainty-quantification-a-deep-learning-and-nonstationary-gaussian-process-approach-2109.12111</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accurate-remaining-useful-life-prediction-with-uncertainty-quantification-a-deep-learning-and-nonstationary-gaussian-process-approach-2109.12111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accurate-remaining-useful-life-prediction-with-uncertainty-quantification-a-deep-learning-and-nonstationary-gaussian-process-approach-2109.12111"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-aggregation-and-temporal-convolution-networks-for-real-time-kriging-2109.12144</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-aggregation-and-temporal-convolution-networks-for-real-time-kriging-2109.12144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-aggregation-and-temporal-convolution-networks-for-real-time-kriging-2109.12144"/></url>
<url><loc>https://scifaro.com/en/abs/ai-explainability-360-impact-and-design-2109.12151</loc><lastmod>2022-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ai-explainability-360-impact-and-design-2109.12151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ai-explainability-360-impact-and-design-2109.12151"/></url>
<url><loc>https://scifaro.com/en/abs/nice-robust-scheduling-through-reinforcement-learning-guided-integer-programming-2109.12171</loc><lastmod>2022-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nice-robust-scheduling-through-reinforcement-learning-guided-integer-programming-2109.12171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nice-robust-scheduling-through-reinforcement-learning-guided-integer-programming-2109.12171"/></url>
<url><loc>https://scifaro.com/en/abs/nanobatch-privacy-enabling-fast-differentially-private-learning-on-the-ipu-2109.12191</loc><lastmod>2022-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nanobatch-privacy-enabling-fast-differentially-private-learning-on-the-ipu-2109.12191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nanobatch-privacy-enabling-fast-differentially-private-learning-on-the-ipu-2109.12191"/></url>
<url><loc>https://scifaro.com/en/abs/long-range-transformers-for-dynamic-spatiotemporal-forecasting-2109.12218</loc><lastmod>2023-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-range-transformers-for-dynamic-spatiotemporal-forecasting-2109.12218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-range-transformers-for-dynamic-spatiotemporal-forecasting-2109.12218"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-recurrent-neural-networks-with-data-assimilation-for-scalable-data-driven-state-estimation-2109.12269</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-recurrent-neural-networks-with-data-assimilation-for-scalable-data-driven-state-estimation-2109.12269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-recurrent-neural-networks-with-data-assimilation-for-scalable-data-driven-state-estimation-2109.12269"/></url>
<url><loc>https://scifaro.com/en/abs/fedproc-prototypical-contrastive-federated-learning-on-non-iid-data-2109.12273</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedproc-prototypical-contrastive-federated-learning-on-non-iid-data-2109.12273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedproc-prototypical-contrastive-federated-learning-on-non-iid-data-2109.12273"/></url>
<url><loc>https://scifaro.com/en/abs/cardiac-complication-risk-profiling-for-cancer-survivors-via-multi-view-multi-task-learning-2109.12276</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cardiac-complication-risk-profiling-for-cancer-survivors-via-multi-view-multi-task-learning-2109.12276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cardiac-complication-risk-profiling-for-cancer-survivors-via-multi-view-multi-task-learning-2109.12276"/></url>
<url><loc>https://scifaro.com/en/abs/stackelberg-actor-critic-game-theoretic-reinforcement-learning-algorithms-2109.12286</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stackelberg-actor-critic-game-theoretic-reinforcement-learning-algorithms-2109.12286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stackelberg-actor-critic-game-theoretic-reinforcement-learning-algorithms-2109.12286"/></url>
<url><loc>https://scifaro.com/en/abs/opacus-user-friendly-differential-privacy-library-in-pytorch-2109.12298</loc><lastmod>2022-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/opacus-user-friendly-differential-privacy-library-in-pytorch-2109.12298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/opacus-user-friendly-differential-privacy-library-in-pytorch-2109.12298"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-detection-of-the-acute-respiratory-distress-syndrome-what-are-the-models-learning-2109.12323</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-detection-of-the-acute-respiratory-distress-syndrome-what-are-the-models-learning-2109.12323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-detection-of-the-acute-respiratory-distress-syndrome-what-are-the-models-learning-2109.12323"/></url>
<url><loc>https://scifaro.com/en/abs/a-principled-approach-to-failure-analysis-and-model-repairment-demonstration-in-medical-imaging-2109.12347</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-principled-approach-to-failure-analysis-and-model-repairment-demonstration-in-medical-imaging-2109.12347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-principled-approach-to-failure-analysis-and-model-repairment-demonstration-in-medical-imaging-2109.12347"/></url>
<url><loc>https://scifaro.com/en/abs/temgnet-deep-transformer-based-decoding-of-upperlimb-semg-for-hand-gestures-recognition-2109.12379</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temgnet-deep-transformer-based-decoding-of-upperlimb-semg-for-hand-gestures-recognition-2109.12379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temgnet-deep-transformer-based-decoding-of-upperlimb-semg-for-hand-gestures-recognition-2109.12379"/></url>
<url><loc>https://scifaro.com/en/abs/model-reduction-for-the-material-point-method-via-an-implicit-neural-representation-of-the-deformation-map-2109.12390</loc><lastmod>2023-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-reduction-for-the-material-point-method-via-an-implicit-neural-representation-of-the-deformation-map-2109.12390"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-reduction-for-the-material-point-method-via-an-implicit-neural-representation-of-the-deformation-map-2109.12390"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-federated-linear-and-deep-generalized-canonical-correlation-analysis-2109.12400</loc><lastmod>2023-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-federated-linear-and-deep-generalized-canonical-correlation-analysis-2109.12400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-federated-linear-and-deep-generalized-canonical-correlation-analysis-2109.12400"/></url>
<url><loc>https://scifaro.com/en/abs/integrating-unsupervised-clustering-and-label-specific-oversampling-to-tackle-imbalanced-multi-label-data-2109.12421</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/integrating-unsupervised-clustering-and-label-specific-oversampling-to-tackle-imbalanced-multi-label-data-2109.12421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/integrating-unsupervised-clustering-and-label-specific-oversampling-to-tackle-imbalanced-multi-label-data-2109.12421"/></url>
<url><loc>https://scifaro.com/en/abs/random-walk-steered-majority-undersampling-2109.12423</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-walk-steered-majority-undersampling-2109.12423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-walk-steered-majority-undersampling-2109.12423"/></url>
<url><loc>https://scifaro.com/en/abs/l-2-nas-learning-to-optimize-neural-architectures-via-continuous-action-reinforcement-learning-2109.12425</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l-2-nas-learning-to-optimize-neural-architectures-via-continuous-action-reinforcement-learning-2109.12425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l-2-nas-learning-to-optimize-neural-architectures-via-continuous-action-reinforcement-learning-2109.12425"/></url>
<url><loc>https://scifaro.com/en/abs/profiling-neural-blocks-and-design-spaces-for-mobile-neural-architecture-search-2109.12426</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/profiling-neural-blocks-and-design-spaces-for-mobile-neural-architecture-search-2109.12426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/profiling-neural-blocks-and-design-spaces-for-mobile-neural-architecture-search-2109.12426"/></url>
<url><loc>https://scifaro.com/en/abs/auditing-ai-models-for-verified-deployment-under-semantic-specifications-2109.12456</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auditing-ai-models-for-verified-deployment-under-semantic-specifications-2109.12456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auditing-ai-models-for-verified-deployment-under-semantic-specifications-2109.12456"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-convolutional-neural-networks-for-temperature-field-prediction-of-heat-source-layout-without-labeled-data-2109.12482</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-convolutional-neural-networks-for-temperature-field-prediction-of-heat-source-layout-without-labeled-data-2109.12482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-convolutional-neural-networks-for-temperature-field-prediction-of-heat-source-layout-without-labeled-data-2109.12482"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-single-scale-and-multi-scale-quantizers-for-distributed-optimization-2109.12497</loc><lastmod>2022-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-single-scale-and-multi-scale-quantizers-for-distributed-optimization-2109.12497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-single-scale-and-multi-scale-quantizers-for-distributed-optimization-2109.12497"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-load-forecasting-using-time-pooling-deep-recurrent-neural-network-2109.12498</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-load-forecasting-using-time-pooling-deep-recurrent-neural-network-2109.12498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-load-forecasting-using-time-pooling-deep-recurrent-neural-network-2109.12498"/></url>
<url><loc>https://scifaro.com/en/abs/adainject-injection-based-adaptive-gradient-descent-optimizers-for-convolutional-neural-networks-2109.12504</loc><lastmod>2022-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adainject-injection-based-adaptive-gradient-descent-optimizers-for-convolutional-neural-networks-2109.12504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adainject-injection-based-adaptive-gradient-descent-optimizers-for-convolutional-neural-networks-2109.12504"/></url>
<url><loc>https://scifaro.com/en/abs/linda-multi-agent-local-information-decomposition-for-awareness-of-teammates-2109.12508</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linda-multi-agent-local-information-decomposition-for-awareness-of-teammates-2109.12508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linda-multi-agent-local-information-decomposition-for-awareness-of-teammates-2109.12508"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-multiscale-feature-extraction-for-remaining-useful-life-prediction-of-bearings-with-generative-adversarial-networks-2109.12513</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-multiscale-feature-extraction-for-remaining-useful-life-prediction-of-bearings-with-generative-adversarial-networks-2109.12513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-multiscale-feature-extraction-for-remaining-useful-life-prediction-of-bearings-with-generative-adversarial-networks-2109.12513"/></url>
<url><loc>https://scifaro.com/en/abs/prioritized-experience-based-reinforcement-learning-with-human-guidance-for-autonomous-driving-2109.12516</loc><lastmod>2022-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prioritized-experience-based-reinforcement-learning-with-human-guidance-for-autonomous-driving-2109.12516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prioritized-experience-based-reinforcement-learning-with-human-guidance-for-autonomous-driving-2109.12516"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-adaptive-spatio-temporal-graph-convolution-for-fmri-modelling-2109.12517</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-adaptive-spatio-temporal-graph-convolution-for-fmri-modelling-2109.12517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-adaptive-spatio-temporal-graph-convolution-for-fmri-modelling-2109.12517"/></url>
<url><loc>https://scifaro.com/en/abs/asysqn-faster-vertical-federated-learning-algorithms-with-better-computation-resource-utilization-2109.12519</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asysqn-faster-vertical-federated-learning-algorithms-with-better-computation-resource-utilization-2109.12519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asysqn-faster-vertical-federated-learning-algorithms-with-better-computation-resource-utilization-2109.12519"/></url>
<url><loc>https://scifaro.com/en/abs/data-summarization-via-bilevel-optimization-2109.12534</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-summarization-via-bilevel-optimization-2109.12534"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-summarization-via-bilevel-optimization-2109.12534"/></url>
<url><loc>https://scifaro.com/en/abs/synthetic-data-generation-for-fraud-detection-using-gans-2109.12546</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthetic-data-generation-for-fraud-detection-using-gans-2109.12546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthetic-data-generation-for-fraud-detection-using-gans-2109.12546"/></url>
<url><loc>https://scifaro.com/en/abs/mixnn-protection-of-federated-learning-against-inference-attacks-by-mixing-neural-network-layers-2109.12550</loc><lastmod>2024-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixnn-protection-of-federated-learning-against-inference-attacks-by-mixing-neural-network-layers-2109.12550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixnn-protection-of-federated-learning-against-inference-attacks-by-mixing-neural-network-layers-2109.12550"/></url>
<url><loc>https://scifaro.com/en/abs/metadrive-composing-diverse-driving-scenarios-for-generalizable-reinforcement-learning-2109.12674</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metadrive-composing-diverse-driving-scenarios-for-generalizable-reinforcement-learning-2109.12674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metadrive-composing-diverse-driving-scenarios-for-generalizable-reinforcement-learning-2109.12674"/></url>
<url><loc>https://scifaro.com/en/abs/be-more-active-understanding-the-differences-between-mean-and-sampled-representations-of-variational-autoencoders-2109.12679</loc><lastmod>2023-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/be-more-active-understanding-the-differences-between-mean-and-sampled-representations-of-variational-autoencoders-2109.12679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/be-more-active-understanding-the-differences-between-mean-and-sampled-representations-of-variational-autoencoders-2109.12679"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-non-linear-calculators-2109.12686</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-non-linear-calculators-2109.12686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-non-linear-calculators-2109.12686"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-analysis-with-deep-embeddings-and-contrastive-learning-2109.12714</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-analysis-with-deep-embeddings-and-contrastive-learning-2109.12714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-analysis-with-deep-embeddings-and-contrastive-learning-2109.12714"/></url>
<url><loc>https://scifaro.com/en/abs/training-on-test-data-with-bayesian-adaptation-for-covariate-shift-2109.12746</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-on-test-data-with-bayesian-adaptation-for-covariate-shift-2109.12746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-on-test-data-with-bayesian-adaptation-for-covariate-shift-2109.12746"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multimodal-rewards-from-rankings-2109.12750</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multimodal-rewards-from-rankings-2109.12750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multimodal-rewards-from-rankings-2109.12750"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-spatial-temporal-convolutional-network-for-vehicle-trajectory-prediction-in-autonomous-driving-2109.12764</loc><lastmod>2022-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-spatial-temporal-convolutional-network-for-vehicle-trajectory-prediction-in-autonomous-driving-2109.12764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-spatial-temporal-convolutional-network-for-vehicle-trajectory-prediction-in-autonomous-driving-2109.12764"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-treatment-effect-estimation-using-machine-learning-for-healthcare-application-tutorial-and-benchmark-2109.12769</loc><lastmod>2023-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-treatment-effect-estimation-using-machine-learning-for-healthcare-application-tutorial-and-benchmark-2109.12769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-treatment-effect-estimation-using-machine-learning-for-healthcare-application-tutorial-and-benchmark-2109.12769"/></url>
<url><loc>https://scifaro.com/en/abs/reintel-challenge-2020-a-comparative-study-of-hybrid-deep-neural-network-for-reliable-intelligence-identification-on-vietnamese-snss-2109.12777</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reintel-challenge-2020-a-comparative-study-of-hybrid-deep-neural-network-for-reliable-intelligence-identification-on-vietnamese-snss-2109.12777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reintel-challenge-2020-a-comparative-study-of-hybrid-deep-neural-network-for-reliable-intelligence-identification-on-vietnamese-snss-2109.12777"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-few-samples-transformation-invariant-svms-with-composition-and-locality-at-multiple-scales-2109.12784</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-few-samples-transformation-invariant-svms-with-composition-and-locality-at-multiple-scales-2109.12784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-few-samples-transformation-invariant-svms-with-composition-and-locality-at-multiple-scales-2109.12784"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-multi-output-regression-ranking-2109.12803</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-multi-output-regression-ranking-2109.12803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-multi-output-regression-ranking-2109.12803"/></url>
<url><loc>https://scifaro.com/en/abs/muten-boosting-gradient-based-adversarial-attacks-via-mutant-based-ensembles-2109.12838</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/muten-boosting-gradient-based-adversarial-attacks-via-mutant-based-ensembles-2109.12838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/muten-boosting-gradient-based-adversarial-attacks-via-mutant-based-ensembles-2109.12838"/></url>
<url><loc>https://scifaro.com/en/abs/hagen-homophily-aware-graph-convolutional-recurrent-network-for-crime-forecasting-2109.12846</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hagen-homophily-aware-graph-convolutional-recurrent-network-for-crime-forecasting-2109.12846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hagen-homophily-aware-graph-convolutional-recurrent-network-for-crime-forecasting-2109.12846"/></url>
<url><loc>https://scifaro.com/en/abs/improving-uncertainty-of-deep-learning-based-object-classification-on-radar-spectra-using-label-smoothing-2109.12851</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-uncertainty-of-deep-learning-based-object-classification-on-radar-spectra-using-label-smoothing-2109.12851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-uncertainty-of-deep-learning-based-object-classification-on-radar-spectra-using-label-smoothing-2109.12851"/></url>
<url><loc>https://scifaro.com/en/abs/compressive-visual-representations-2109.12909</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressive-visual-representations-2109.12909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressive-visual-representations-2109.12909"/></url>
<url><loc>https://scifaro.com/en/abs/clipmatrix-text-controlled-creation-of-3d-textured-meshes-2109.12922</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clipmatrix-text-controlled-creation-of-3d-textured-meshes-2109.12922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clipmatrix-text-controlled-creation-of-3d-textured-meshes-2109.12922"/></url>
<url><loc>https://scifaro.com/en/abs/ml4ml-automated-invariance-testing-for-machine-learning-models-2109.12926</loc><lastmod>2022-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ml4ml-automated-invariance-testing-for-machine-learning-models-2109.12926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ml4ml-automated-invariance-testing-for-machine-learning-models-2109.12926"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-model-attribution-visualizations-as-explanations-2109.12935</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-model-attribution-visualizations-as-explanations-2109.12935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-model-attribution-visualizations-as-explanations-2109.12935"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-overcoming-the-challenges-of-efficient-transformer-quantization-2109.12948</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-overcoming-the-challenges-of-efficient-transformer-quantization-2109.12948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-overcoming-the-challenges-of-efficient-transformer-quantization-2109.12948"/></url>
<url><loc>https://scifaro.com/en/abs/an-iiot-machine-model-for-achieving-consistency-in-product-quality-in-manufacturing-plants-2109.12964</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-iiot-machine-model-for-achieving-consistency-in-product-quality-in-manufacturing-plants-2109.12964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-iiot-machine-model-for-achieving-consistency-in-product-quality-in-manufacturing-plants-2109.12964"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-resource-assignment-for-wireless-networks-2109.12970</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-resource-assignment-for-wireless-networks-2109.12970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-resource-assignment-for-wireless-networks-2109.12970"/></url>
<url><loc>https://scifaro.com/en/abs/efficiently-training-on-policy-actor-critic-networks-in-robotic-deep-reinforcement-learning-with-demonstration-like-sampled-exploration-2109.13005</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiently-training-on-policy-actor-critic-networks-in-robotic-deep-reinforcement-learning-with-demonstration-like-sampled-exploration-2109.13005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiently-training-on-policy-actor-critic-networks-in-robotic-deep-reinforcement-learning-with-demonstration-like-sampled-exploration-2109.13005"/></url>
<url><loc>https://scifaro.com/en/abs/federated-deep-learning-with-bayesian-privacy-2109.13012</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-deep-learning-with-bayesian-privacy-2109.13012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-deep-learning-with-bayesian-privacy-2109.13012"/></url>
<url><loc>https://scifaro.com/en/abs/searching-for-minimal-optimal-neural-networks-2109.13061</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/searching-for-minimal-optimal-neural-networks-2109.13061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/searching-for-minimal-optimal-neural-networks-2109.13061"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-attack-query-based-adversarial-attacks-on-graphs-with-graph-dependent-priors-2109.13069</loc><lastmod>2022-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-attack-query-based-adversarial-attacks-on-graphs-with-graph-dependent-priors-2109.13069"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-attack-query-based-adversarial-attacks-on-graphs-with-graph-dependent-priors-2109.13069"/></url>
<url><loc>https://scifaro.com/en/abs/using-neural-networks-to-solve-the-2d-poisson-equation-for-electric-field-computation-in-plasma-fluid-simulations-2109.13076</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-neural-networks-to-solve-the-2d-poisson-equation-for-electric-field-computation-in-plasma-fluid-simulations-2109.13076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-neural-networks-to-solve-the-2d-poisson-equation-for-electric-field-computation-in-plasma-fluid-simulations-2109.13076"/></url>
<url><loc>https://scifaro.com/en/abs/towards-the-classification-of-error-related-potentials-using-riemannian-geometry-2109.13085</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-the-classification-of-error-related-potentials-using-riemannian-geometry-2109.13085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-the-classification-of-error-related-potentials-using-riemannian-geometry-2109.13085"/></url>
<url><loc>https://scifaro.com/en/abs/one-hot-graph-encoder-embedding-2109.13098</loc><lastmod>2024-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-hot-graph-encoder-embedding-2109.13098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-hot-graph-encoder-embedding-2109.13098"/></url>
<url><loc>https://scifaro.com/en/abs/speeding-up-one-vs-all-training-for-extreme-classification-via-smart-initialization-2109.13122</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speeding-up-one-vs-all-training-for-extreme-classification-via-smart-initialization-2109.13122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speeding-up-one-vs-all-training-for-extreme-classification-via-smart-initialization-2109.13122"/></url>
<url><loc>https://scifaro.com/en/abs/daren-a-collaborative-approach-towards-reasoning-and-disentangling-2109.13156</loc><lastmod>2022-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/daren-a-collaborative-approach-towards-reasoning-and-disentangling-2109.13156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/daren-a-collaborative-approach-towards-reasoning-and-disentangling-2109.13156"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-for-full-face-mechanical-behaviors-through-spatial-deduction-model-with-real-time-monitoring-data-2109.13167</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-for-full-face-mechanical-behaviors-through-spatial-deduction-model-with-real-time-monitoring-data-2109.13167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-for-full-face-mechanical-behaviors-through-spatial-deduction-model-with-real-time-monitoring-data-2109.13167"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-training-of-multi-exit-architectures-for-sensor-data-2109.13192</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-training-of-multi-exit-architectures-for-sensor-data-2109.13192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-training-of-multi-exit-architectures-for-sensor-data-2109.13192"/></url>
<url><loc>https://scifaro.com/en/abs/minihack-the-planet-a-sandbox-for-open-ended-reinforcement-learning-research-2109.13202</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minihack-the-planet-a-sandbox-for-open-ended-reinforcement-learning-research-2109.13202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minihack-the-planet-a-sandbox-for-open-ended-reinforcement-learning-research-2109.13202"/></url>
<url><loc>https://scifaro.com/en/abs/sau-smooth-activation-function-using-convolution-with-approximate-identities-2109.13210</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sau-smooth-activation-function-using-convolution-with-approximate-identities-2109.13210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sau-smooth-activation-function-using-convolution-with-approximate-identities-2109.13210"/></url>
<url><loc>https://scifaro.com/en/abs/classification-and-adversarial-examples-in-an-overparameterized-linear-model-a-signal-processing-perspective-2109.13215</loc><lastmod>2021-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-and-adversarial-examples-in-an-overparameterized-linear-model-a-signal-processing-perspective-2109.13215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-and-adversarial-examples-in-an-overparameterized-linear-model-a-signal-processing-perspective-2109.13215"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-transfer-learning-an-overview-of-probabilistic-graphical-models-for-transfer-learning-2109.13233</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-transfer-learning-an-overview-of-probabilistic-graphical-models-for-transfer-learning-2109.13233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-transfer-learning-an-overview-of-probabilistic-graphical-models-for-transfer-learning-2109.13233"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-modeling-of-lake-surface-water-temperature-using-a-bayesian-spatio-temporal-graph-convolutional-neural-network-2109.13235</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-modeling-of-lake-surface-water-temperature-using-a-bayesian-spatio-temporal-graph-convolutional-neural-network-2109.13235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-modeling-of-lake-surface-water-temperature-using-a-bayesian-spatio-temporal-graph-convolutional-neural-network-2109.13235"/></url>
<url><loc>https://scifaro.com/en/abs/fedipr-ownership-verification-for-federated-deep-neural-network-models-2109.13236</loc><lastmod>2022-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedipr-ownership-verification-for-federated-deep-neural-network-models-2109.13236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedipr-ownership-verification-for-federated-deep-neural-network-models-2109.13236"/></url>
<url><loc>https://scifaro.com/en/abs/doodler-determining-out-of-distribution-likelihood-from-encoder-reconstructions-2109.13237</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doodler-determining-out-of-distribution-likelihood-from-encoder-reconstructions-2109.13237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doodler-determining-out-of-distribution-likelihood-from-encoder-reconstructions-2109.13237"/></url>
<url><loc>https://scifaro.com/en/abs/st-maml-a-stochastic-task-based-method-for-task-heterogeneous-meta-learning-2109.13305</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/st-maml-a-stochastic-task-based-method-for-task-heterogeneous-meta-learning-2109.13305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/st-maml-a-stochastic-task-based-method-for-task-heterogeneous-meta-learning-2109.13305"/></url>
<url><loc>https://scifaro.com/en/abs/introducing-the-viewpoint-in-the-resource-description-using-machine-learning-2109.13306</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introducing-the-viewpoint-in-the-resource-description-using-machine-learning-2109.13306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introducing-the-viewpoint-in-the-resource-description-using-machine-learning-2109.13306"/></url>
<url><loc>https://scifaro.com/en/abs/debosh-deep-bayesian-shape-optimization-2109.13337</loc><lastmod>2023-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/debosh-deep-bayesian-shape-optimization-2109.13337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/debosh-deep-bayesian-shape-optimization-2109.13337"/></url>
<url><loc>https://scifaro.com/en/abs/lyapunov-net-a-deep-neural-network-architecture-for-lyapunov-function-approximation-2109.13359</loc><lastmod>2022-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lyapunov-net-a-deep-neural-network-architecture-for-lyapunov-function-approximation-2109.13359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lyapunov-net-a-deep-neural-network-architecture-for-lyapunov-function-approximation-2109.13359"/></url>
<url><loc>https://scifaro.com/en/abs/igan-inferent-and-generative-adversarial-networks-2109.13360</loc><lastmod>2024-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/igan-inferent-and-generative-adversarial-networks-2109.13360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/igan-inferent-and-generative-adversarial-networks-2109.13360"/></url>
<url><loc>https://scifaro.com/en/abs/automated-estimation-of-construction-equipment-emission-using-inertial-sensors-and-machine-learning-models-2109.13375</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-estimation-of-construction-equipment-emission-using-inertial-sensors-and-machine-learning-models-2109.13375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-estimation-of-construction-equipment-emission-using-inertial-sensors-and-machine-learning-models-2109.13375"/></url>
<url><loc>https://scifaro.com/en/abs/go-blend-behavior-and-affect-2109.13388</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/go-blend-behavior-and-affect-2109.13388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/go-blend-behavior-and-affect-2109.13388"/></url>
<url><loc>https://scifaro.com/en/abs/unrolling-sgd-understanding-factors-influencing-machine-unlearning-2109.13398</loc><lastmod>2022-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unrolling-sgd-understanding-factors-influencing-machine-unlearning-2109.13398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unrolling-sgd-understanding-factors-influencing-machine-unlearning-2109.13398"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-attribution-from-counterfactuals-2109.13412</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-attribution-from-counterfactuals-2109.13412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-attribution-from-counterfactuals-2109.13412"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-lookahead-and-approximate-policy-evaluation-in-reinforcement-learning-with-linear-value-function-approximation-2109.13419</loc><lastmod>2022-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-lookahead-and-approximate-policy-evaluation-in-reinforcement-learning-with-linear-value-function-approximation-2109.13419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-lookahead-and-approximate-policy-evaluation-in-reinforcement-learning-with-linear-value-function-approximation-2109.13419"/></url>
<url><loc>https://scifaro.com/en/abs/dyng2g-an-efficient-stochastic-graph-embedding-method-for-temporal-graphs-2109.13441</loc><lastmod>2022-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dyng2g-an-efficient-stochastic-graph-embedding-method-for-temporal-graphs-2109.13441"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dyng2g-an-efficient-stochastic-graph-embedding-method-for-temporal-graphs-2109.13441"/></url>
<url><loc>https://scifaro.com/en/abs/an-adaptive-deep-learning-framework-for-day-ahead-forecasting-of-photovoltaic-power-generation-2109.13442</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-adaptive-deep-learning-framework-for-day-ahead-forecasting-of-photovoltaic-power-generation-2109.13442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-adaptive-deep-learning-framework-for-day-ahead-forecasting-of-photovoltaic-power-generation-2109.13442"/></url>
<url><loc>https://scifaro.com/en/abs/lithium-ion-battery-state-of-health-estimation-based-on-cycle-synchronization-using-dynamic-time-warping-2109.13448</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lithium-ion-battery-state-of-health-estimation-based-on-cycle-synchronization-using-dynamic-time-warping-2109.13448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lithium-ion-battery-state-of-health-estimation-based-on-cycle-synchronization-using-dynamic-time-warping-2109.13448"/></url>
<url><loc>https://scifaro.com/en/abs/when-in-doubt-improving-classification-performance-with-alternating-normalization-2109.13449</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-in-doubt-improving-classification-performance-with-alternating-normalization-2109.13449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-in-doubt-improving-classification-performance-with-alternating-normalization-2109.13449"/></url>
<url><loc>https://scifaro.com/en/abs/multiwavelet-based-operator-learning-for-differential-equations-2109.13459</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiwavelet-based-operator-learning-for-differential-equations-2109.13459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiwavelet-based-operator-learning-for-differential-equations-2109.13459"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-with-adjustments-2109.13463</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-adjustments-2109.13463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-with-adjustments-2109.13463"/></url>
<url><loc>https://scifaro.com/en/abs/delve-into-the-performance-degradation-of-differentiable-architecture-search-2109.13466</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delve-into-the-performance-degradation-of-differentiable-architecture-search-2109.13466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delve-into-the-performance-degradation-of-differentiable-architecture-search-2109.13466"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-more-when-it-needs-in-deep-reinforcement-learning-2109.13477</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-more-when-it-needs-in-deep-reinforcement-learning-2109.13477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-more-when-it-needs-in-deep-reinforcement-learning-2109.13477"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-superoptimize-real-world-programs-2109.13498</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-superoptimize-real-world-programs-2109.13498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-superoptimize-real-world-programs-2109.13498"/></url>
<url><loc>https://scifaro.com/en/abs/voxceleb-enrichment-for-age-and-gender-recognition-2109.13510</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/voxceleb-enrichment-for-age-and-gender-recognition-2109.13510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/voxceleb-enrichment-for-age-and-gender-recognition-2109.13510"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-stage-semi-supervised-improved-deep-embedded-clustering-method-for-bearing-fault-diagnosis-under-the-situation-of-insufficient-labeled-samples-2109.13521</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-stage-semi-supervised-improved-deep-embedded-clustering-method-for-bearing-fault-diagnosis-under-the-situation-of-insufficient-labeled-samples-2109.13521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-stage-semi-supervised-improved-deep-embedded-clustering-method-for-bearing-fault-diagnosis-under-the-situation-of-insufficient-labeled-samples-2109.13521"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-deep-convolutional-neural-networks-2109.13542</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-deep-convolutional-neural-networks-2109.13542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-deep-convolutional-neural-networks-2109.13542"/></url>
<url><loc>https://scifaro.com/en/abs/multimodality-in-meta-learning-a-comprehensive-survey-2109.13576</loc><lastmod>2022-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multimodality-in-meta-learning-a-comprehensive-survey-2109.13576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multimodality-in-meta-learning-a-comprehensive-survey-2109.13576"/></url>
<url><loc>https://scifaro.com/en/abs/making-curiosity-explicit-in-vision-based-rl-2109.13588</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-curiosity-explicit-in-vision-based-rl-2109.13588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-curiosity-explicit-in-vision-based-rl-2109.13588"/></url>
<url><loc>https://scifaro.com/en/abs/the-fragility-of-optimized-bandit-algorithms-2109.13595</loc><lastmod>2024-11-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-fragility-of-optimized-bandit-algorithms-2109.13595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-fragility-of-optimized-bandit-algorithms-2109.13595"/></url>
<url><loc>https://scifaro.com/en/abs/exploratory-state-representation-learning-2109.13596</loc><lastmod>2022-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploratory-state-representation-learning-2109.13596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploratory-state-representation-learning-2109.13596"/></url>
<url><loc>https://scifaro.com/en/abs/confusion-based-rank-similarity-filters-for-computationally-efficient-machine-learning-on-high-dimensional-data-2109.13610</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confusion-based-rank-similarity-filters-for-computationally-efficient-machine-learning-on-high-dimensional-data-2109.13610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confusion-based-rank-similarity-filters-for-computationally-efficient-machine-learning-on-high-dimensional-data-2109.13610"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-to-the-fewest-clusters-under-intra-cluster-dissimilarity-constraints-2109.13644</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-to-the-fewest-clusters-under-intra-cluster-dissimilarity-constraints-2109.13644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-to-the-fewest-clusters-under-intra-cluster-dissimilarity-constraints-2109.13644"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-methods-for-prediction-of-cancer-driver-genes-a-survey-paper-2109.13685</loc><lastmod>2022-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-methods-for-prediction-of-cancer-driver-genes-a-survey-paper-2109.13685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-methods-for-prediction-of-cancer-driver-genes-a-survey-paper-2109.13685"/></url>
<url><loc>https://scifaro.com/en/abs/improving-time-series-classification-algorithms-using-octave-convolutional-layers-2109.13696</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-time-series-classification-algorithms-using-octave-convolutional-layers-2109.13696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-time-series-classification-algorithms-using-octave-convolutional-layers-2109.13696"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-for-high-dimensional-data-using-large-deviations-principle-2109.13698</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-for-high-dimensional-data-using-large-deviations-principle-2109.13698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-for-high-dimensional-data-using-large-deviations-principle-2109.13698"/></url>
<url><loc>https://scifaro.com/en/abs/exposing-paid-opinion-manipulation-trolls-2109.13726</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exposing-paid-opinion-manipulation-trolls-2109.13726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exposing-paid-opinion-manipulation-trolls-2109.13726"/></url>
<url><loc>https://scifaro.com/en/abs/irmac-interpretable-refined-motifs-in-binary-classification-for-smart-grid-applications-2109.13732</loc><lastmod>2022-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/irmac-interpretable-refined-motifs-in-binary-classification-for-smart-grid-applications-2109.13732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/irmac-interpretable-refined-motifs-in-binary-classification-for-smart-grid-applications-2109.13732"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-modeling-for-protein-design-2109.13754</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-modeling-for-protein-design-2109.13754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-modeling-for-protein-design-2109.13754"/></url>
<url><loc>https://scifaro.com/en/abs/near-linear-time-algorithm-with-near-logarithmic-regret-per-switch-for-mixable-exp-concave-losses-2109.13786</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-linear-time-algorithm-with-near-logarithmic-regret-per-switch-for-mixable-exp-concave-losses-2109.13786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-linear-time-algorithm-with-near-logarithmic-regret-per-switch-for-mixable-exp-concave-losses-2109.13786"/></url>
<url><loc>https://scifaro.com/en/abs/what-to-prioritize-natural-language-processing-for-the-development-of-a-modern-bug-tracking-solution-in-hardware-development-2109.13825</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-to-prioritize-natural-language-processing-for-the-development-of-a-modern-bug-tracking-solution-in-hardware-development-2109.13825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-to-prioritize-natural-language-processing-for-the-development-of-a-modern-bug-tracking-solution-in-hardware-development-2109.13825"/></url>
<url><loc>https://scifaro.com/en/abs/an-automated-data-engineering-pipeline-for-anomaly-detection-of-iot-sensor-data-2109.13828</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-automated-data-engineering-pipeline-for-anomaly-detection-of-iot-sensor-data-2109.13828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-automated-data-engineering-pipeline-for-anomaly-detection-of-iot-sensor-data-2109.13828"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-for-quantitative-trading-2109.13851</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-for-quantitative-trading-2109.13851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-for-quantitative-trading-2109.13851"/></url>
<url><loc>https://scifaro.com/en/abs/a-first-occupancy-representation-for-reinforcement-learning-2109.13863</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-first-occupancy-representation-for-reinforcement-learning-2109.13863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-first-occupancy-representation-for-reinforcement-learning-2109.13863"/></url>
<url><loc>https://scifaro.com/en/abs/a-pac-bayesian-analysis-of-distance-based-classifiers-why-nearest-neighbour-works-2109.13889</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pac-bayesian-analysis-of-distance-based-classifiers-why-nearest-neighbour-works-2109.13889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pac-bayesian-analysis-of-distance-based-classifiers-why-nearest-neighbour-works-2109.13889"/></url>
<url><loc>https://scifaro.com/en/abs/symbolic-regression-by-exhaustive-search-reducing-the-search-space-using-syntactical-constraints-and-efficient-semantic-structure-deduplication-2109.13895</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symbolic-regression-by-exhaustive-search-reducing-the-search-space-using-syntactical-constraints-and-efficient-semantic-structure-deduplication-2109.13895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symbolic-regression-by-exhaustive-search-reducing-the-search-space-using-syntactical-constraints-and-efficient-semantic-structure-deduplication-2109.13895"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-analysis-of-a-symbolic-regression-search-space-2109.13898</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-analysis-of-a-symbolic-regression-search-space-2109.13898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-analysis-of-a-symbolic-regression-search-space-2109.13898"/></url>
<url><loc>https://scifaro.com/en/abs/physics-augmented-learning-a-new-paradigm-beyond-physics-informed-learning-2109.13901</loc><lastmod>2021-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-augmented-learning-a-new-paradigm-beyond-physics-informed-learning-2109.13901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-augmented-learning-a-new-paradigm-beyond-physics-informed-learning-2109.13901"/></url>
<url><loc>https://scifaro.com/en/abs/unsolved-problems-in-ml-safety-2109.13916</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsolved-problems-in-ml-safety-2109.13916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsolved-problems-in-ml-safety-2109.13916"/></url>
<url><loc>https://scifaro.com/en/abs/smart-at-what-cost-characterising-mobile-deep-neural-networks-in-the-wild-2109.13963</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smart-at-what-cost-characterising-mobile-deep-neural-networks-in-the-wild-2109.13963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smart-at-what-cost-characterising-mobile-deep-neural-networks-in-the-wild-2109.13963"/></url>
<url><loc>https://scifaro.com/en/abs/risk-averse-non-stationary-multi-armed-bandits-2109.13977</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-averse-non-stationary-multi-armed-bandits-2109.13977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-averse-non-stationary-multi-armed-bandits-2109.13977"/></url>
<url><loc>https://scifaro.com/en/abs/guidelines-for-the-computational-testing-of-machine-learning-approaches-to-vehicle-routing-problems-2109.13983</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guidelines-for-the-computational-testing-of-machine-learning-approaches-to-vehicle-routing-problems-2109.13983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guidelines-for-the-computational-testing-of-machine-learning-approaches-to-vehicle-routing-problems-2109.13983"/></url>
<url><loc>https://scifaro.com/en/abs/symbolic-brittleness-in-sequence-models-on-systematic-generalization-in-symbolic-mathematics-2109.13986</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/symbolic-brittleness-in-sequence-models-on-systematic-generalization-in-symbolic-mathematics-2109.13986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/symbolic-brittleness-in-sequence-models-on-systematic-generalization-in-symbolic-mathematics-2109.13986"/></url>
<url><loc>https://scifaro.com/en/abs/iglu-efficient-gcn-training-via-lazy-updates-2109.13995</loc><lastmod>2022-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iglu-efficient-gcn-training-via-lazy-updates-2109.13995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iglu-efficient-gcn-training-via-lazy-updates-2109.13995"/></url>
<url><loc>https://scifaro.com/en/abs/slimtrain-a-stochastic-approximation-method-for-training-separable-deep-neural-networks-2109.14002</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/slimtrain-a-stochastic-approximation-method-for-training-separable-deep-neural-networks-2109.14002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/slimtrain-a-stochastic-approximation-method-for-training-separable-deep-neural-networks-2109.14002"/></url>
<url><loc>https://scifaro.com/en/abs/formalizing-the-generalization-forgetting-trade-off-in-continual-learning-2109.14035</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/formalizing-the-generalization-forgetting-trade-off-in-continual-learning-2109.14035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/formalizing-the-generalization-forgetting-trade-off-in-continual-learning-2109.14035"/></url>
<url><loc>https://scifaro.com/en/abs/local-repair-of-neural-networks-using-optimization-2109.14041</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-repair-of-neural-networks-using-optimization-2109.14041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-repair-of-neural-networks-using-optimization-2109.14041"/></url>
<url><loc>https://scifaro.com/en/abs/an-explainable-ai-approach-for-diagnosis-of-covid-19-using-maldi-tof-mass-spectrometry-2109.14099</loc><lastmod>2023-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-explainable-ai-approach-for-diagnosis-of-covid-19-using-maldi-tof-mass-spectrometry-2109.14099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-explainable-ai-approach-for-diagnosis-of-covid-19-using-maldi-tof-mass-spectrometry-2109.14099"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-ensembles-theory-training-and-the-importance-of-explicit-diversity-2109.14117</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-ensembles-theory-training-and-the-importance-of-explicit-diversity-2109.14117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-ensembles-theory-training-and-the-importance-of-explicit-diversity-2109.14117"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-training-is-not-necessary-for-generalization-2109.14119</loc><lastmod>2022-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-training-is-not-necessary-for-generalization-2109.14119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-training-is-not-necessary-for-generalization-2109.14119"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-on-a-sequence-of-imbalanced-domains-with-difficulty-awareness-2109.14120</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-on-a-sequence-of-imbalanced-domains-with-difficulty-awareness-2109.14120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-on-a-sequence-of-imbalanced-domains-with-difficulty-awareness-2109.14120"/></url>
<url><loc>https://scifaro.com/en/abs/vitruvion-a-generative-model-of-parametric-cad-sketches-2109.14124</loc><lastmod>2022-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vitruvion-a-generative-model-of-parametric-cad-sketches-2109.14124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vitruvion-a-generative-model-of-parametric-cad-sketches-2109.14124"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-provable-generalization-of-recurrent-neural-networks-2109.14142</loc><lastmod>2022-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-provable-generalization-of-recurrent-neural-networks-2109.14142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-provable-generalization-of-recurrent-neural-networks-2109.14142"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-clustering-with-external-memory-network-for-disease-progression-modeling-2109.14147</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-clustering-with-external-memory-network-for-disease-progression-modeling-2109.14147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-clustering-with-external-memory-network-for-disease-progression-modeling-2109.14147"/></url>
<url><loc>https://scifaro.com/en/abs/second-order-neural-ode-optimizer-2109.14158</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/second-order-neural-ode-optimizer-2109.14158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/second-order-neural-ode-optimizer-2109.14158"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-multi-layer-contrastive-graph-neural-networks-2109.14159</loc><lastmod>2023-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-multi-layer-contrastive-graph-neural-networks-2109.14159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-multi-layer-contrastive-graph-neural-networks-2109.14159"/></url>
<url><loc>https://scifaro.com/en/abs/can-multi-label-classification-networks-know-what-they-don-t-know-2109.14162</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-multi-label-classification-networks-know-what-they-don-t-know-2109.14162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-multi-label-classification-networks-know-what-they-don-t-know-2109.14162"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-reinforced-feature-selection-via-early-stopping-traverse-strategy-2109.14180</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-reinforced-feature-selection-via-early-stopping-traverse-strategy-2109.14180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-reinforced-feature-selection-via-early-stopping-traverse-strategy-2109.14180"/></url>
<url><loc>https://scifaro.com/en/abs/information-bottleneck-based-behavior-representation-learning-for-multi-agent-reinforcement-learning-2109.14188</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-bottleneck-based-behavior-representation-learning-for-multi-agent-reinforcement-learning-2109.14188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-bottleneck-based-behavior-representation-learning-for-multi-agent-reinforcement-learning-2109.14188"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-the-curse-of-dimensionality-with-isolation-kernel-2109.14198</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-the-curse-of-dimensionality-with-isolation-kernel-2109.14198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-the-curse-of-dimensionality-with-isolation-kernel-2109.14198"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-one-sided-convergence-of-adam-type-algorithms-in-non-convex-non-concave-min-max-optimization-2109.14213</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-one-sided-convergence-of-adam-type-algorithms-in-non-convex-non-concave-min-max-optimization-2109.14213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-one-sided-convergence-of-adam-type-algorithms-in-non-convex-non-concave-min-max-optimization-2109.14213"/></url>
<url><loc>https://scifaro.com/en/abs/equivariant-neural-network-for-factor-graphs-2109.14218</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivariant-neural-network-for-factor-graphs-2109.14218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivariant-neural-network-for-factor-graphs-2109.14218"/></url>
<url><loc>https://scifaro.com/en/abs/error-rate-control-for-classification-rules-in-multiclass-mixture-models-2109.14235</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-rate-control-for-classification-rules-in-multiclass-mixture-models-2109.14235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-rate-control-for-classification-rules-in-multiclass-mixture-models-2109.14235"/></url>
<url><loc>https://scifaro.com/en/abs/lightsecagg-a-lightweight-and-versatile-design-for-secure-aggregation-in-federated-learning-2109.14236</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lightsecagg-a-lightweight-and-versatile-design-for-secure-aggregation-in-federated-learning-2109.14236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lightsecagg-a-lightweight-and-versatile-design-for-secure-aggregation-in-federated-learning-2109.14236"/></url>
<url><loc>https://scifaro.com/en/abs/ebsd-grain-knowledge-graph-representation-learning-for-material-structure-property-prediction-2109.14248</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ebsd-grain-knowledge-graph-representation-learning-for-material-structure-property-prediction-2109.14248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ebsd-grain-knowledge-graph-representation-learning-for-material-structure-property-prediction-2109.14248"/></url>
<url><loc>https://scifaro.com/en/abs/road-network-guided-fine-grained-urban-traffic-flow-inference-2109.14251</loc><lastmod>2023-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/road-network-guided-fine-grained-urban-traffic-flow-inference-2109.14251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/road-network-guided-fine-grained-urban-traffic-flow-inference-2109.14251"/></url>
<url><loc>https://scifaro.com/en/abs/formulation-and-validation-of-a-car-following-model-based-on-deep-reinforcement-learning-2109.14268</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/formulation-and-validation-of-a-car-following-model-based-on-deep-reinforcement-learning-2109.14268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/formulation-and-validation-of-a-car-following-model-based-on-deep-reinforcement-learning-2109.14268"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-to-improve-the-empirical-performance-of-discrete-algorithms-2109.14271</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-to-improve-the-empirical-performance-of-discrete-algorithms-2109.14271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-to-improve-the-empirical-performance-of-discrete-algorithms-2109.14271"/></url>
<url><loc>https://scifaro.com/en/abs/designing-counterfactual-generators-using-deep-model-inversion-2109.14274</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-counterfactual-generators-using-deep-model-inversion-2109.14274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-counterfactual-generators-using-deep-model-inversion-2109.14274"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-deep-learning-architectures-for-anomaly-detection-in-virtual-network-function-chains-2109.14276</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-deep-learning-architectures-for-anomaly-detection-in-virtual-network-function-chains-2109.14276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-deep-learning-architectures-for-anomaly-detection-in-virtual-network-function-chains-2109.14276"/></url>
<url><loc>https://scifaro.com/en/abs/be-confident-towards-trustworthy-graph-neural-networks-via-confidence-calibration-2109.14285</loc><lastmod>2022-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/be-confident-towards-trustworthy-graph-neural-networks-via-confidence-calibration-2109.14285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/be-confident-towards-trustworthy-graph-neural-networks-via-confidence-calibration-2109.14285"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-learning-for-3d-medical-image-analysis-using-3d-simclr-and-monte-carlo-dropout-2109.14288</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-learning-for-3d-medical-image-analysis-using-3d-simclr-and-monte-carlo-dropout-2109.14288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-learning-for-3d-medical-image-analysis-using-3d-simclr-and-monte-carlo-dropout-2109.14288"/></url>
<url><loc>https://scifaro.com/en/abs/learning-dynamics-models-for-model-predictive-agents-2109.14311</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-dynamics-models-for-model-predictive-agents-2109.14311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-dynamics-models-for-model-predictive-agents-2109.14311"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-knowledge-embedding-for-graph-pooling-2109.14333</loc><lastmod>2022-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-knowledge-embedding-for-graph-pooling-2109.14333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-knowledge-embedding-for-graph-pooling-2109.14333"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-q-learning-for-intelligent-traffic-signal-control-with-partial-detection-2109.14337</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-q-learning-for-intelligent-traffic-signal-control-with-partial-detection-2109.14337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-q-learning-for-intelligent-traffic-signal-control-with-partial-detection-2109.14337"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-regret-analysis-for-online-meta-learning-2109.14375</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-regret-analysis-for-online-meta-learning-2109.14375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-regret-analysis-for-online-meta-learning-2109.14375"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-driven-private-collaborative-machine-learning-2109.14376</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-driven-private-collaborative-machine-learning-2109.14376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-driven-private-collaborative-machine-learning-2109.14376"/></url>
<url><loc>https://scifaro.com/en/abs/apple-tasting-revisited-bayesian-approaches-to-partially-monitored-online-binary-classification-2109.14412</loc><lastmod>2024-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/apple-tasting-revisited-bayesian-approaches-to-partially-monitored-online-binary-classification-2109.14412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/apple-tasting-revisited-bayesian-approaches-to-partially-monitored-online-binary-classification-2109.14412"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-estimation-bias-in-double-q-learning-2109.14419</loc><lastmod>2022-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-estimation-bias-in-double-q-learning-2109.14419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-estimation-bias-in-double-q-learning-2109.14419"/></url>
<url><loc>https://scifaro.com/en/abs/multi-class-probabilistic-bounds-for-self-learning-2109.14422</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-class-probabilistic-bounds-for-self-learning-2109.14422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-class-probabilistic-bounds-for-self-learning-2109.14422"/></url>
<url><loc>https://scifaro.com/en/abs/minimal-expected-regret-in-linear-quadratic-control-2109.14429</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimal-expected-regret-in-linear-quadratic-control-2109.14429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimal-expected-regret-in-linear-quadratic-control-2109.14429"/></url>
<url><loc>https://scifaro.com/en/abs/pyhard-a-novel-tool-for-generating-hardness-embeddings-to-support-data-centric-analysis-2109.14430</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pyhard-a-novel-tool-for-generating-hardness-embeddings-to-support-data-centric-analysis-2109.14430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pyhard-a-novel-tool-for-generating-hardness-embeddings-to-support-data-centric-analysis-2109.14430"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-for-continuous-time-switching-dynamical-systems-2109.14492</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-for-continuous-time-switching-dynamical-systems-2109.14492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-for-continuous-time-switching-dynamical-systems-2109.14492"/></url>
<url><loc>https://scifaro.com/en/abs/untangling-braids-with-multi-agent-q-learning-2109.14502</loc><lastmod>2021-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/untangling-braids-with-multi-agent-q-learning-2109.14502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/untangling-braids-with-multi-agent-q-learning-2109.14502"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayes-information-bottleneck-2109.14509</loc><lastmod>2022-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayes-information-bottleneck-2109.14509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayes-information-bottleneck-2109.14509"/></url>
<url><loc>https://scifaro.com/en/abs/on-assessing-the-usefulness-of-proxy-domains-for-developing-and-evaluating-embodied-agents-2109.14516</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-assessing-the-usefulness-of-proxy-domains-for-developing-and-evaluating-embodied-agents-2109.14516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-assessing-the-usefulness-of-proxy-domains-for-developing-and-evaluating-embodied-agents-2109.14516"/></url>
<url><loc>https://scifaro.com/en/abs/online-robust-reinforcement-learning-with-model-uncertainty-2109.14523</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-robust-reinforcement-learning-with-model-uncertainty-2109.14523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-robust-reinforcement-learning-with-model-uncertainty-2109.14523"/></url>
<url><loc>https://scifaro.com/en/abs/deep-spatio-temporal-wind-power-forecasting-2109.14530</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-spatio-temporal-wind-power-forecasting-2109.14530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-spatio-temporal-wind-power-forecasting-2109.14530"/></url>
<url><loc>https://scifaro.com/en/abs/pinnup-robust-neural-network-wavefield-solutions-using-frequency-upscaling-and-neuron-splitting-2109.14536</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pinnup-robust-neural-network-wavefield-solutions-using-frequency-upscaling-and-neuron-splitting-2109.14536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pinnup-robust-neural-network-wavefield-solutions-using-frequency-upscaling-and-neuron-splitting-2109.14536"/></url>
<url><loc>https://scifaro.com/en/abs/activation-functions-in-deep-learning-a-comprehensive-survey-and-benchmark-2109.14545</loc><lastmod>2022-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/activation-functions-in-deep-learning-a-comprehensive-survey-and-benchmark-2109.14545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/activation-functions-in-deep-learning-a-comprehensive-survey-and-benchmark-2109.14545"/></url>
<url><loc>https://scifaro.com/en/abs/an-expert-system-for-redesigning-software-for-cloud-applications-2109.14569</loc><lastmod>2022-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-expert-system-for-redesigning-software-for-cloud-applications-2109.14569"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-expert-system-for-redesigning-software-for-cloud-applications-2109.14569"/></url>
<url><loc>https://scifaro.com/en/abs/combining-human-predictions-with-model-probabilities-via-confusion-matrices-and-calibration-2109.14591</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-human-predictions-with-model-probabilities-via-confusion-matrices-and-calibration-2109.14591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-human-predictions-with-model-probabilities-via-confusion-matrices-and-calibration-2109.14591"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-bounds-for-meta-learning-an-information-theoretic-analysis-2109.14595</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-bounds-for-meta-learning-an-information-theoretic-analysis-2109.14595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-bounds-for-meta-learning-an-information-theoretic-analysis-2109.14595"/></url>
<url><loc>https://scifaro.com/en/abs/towards-communication-efficient-and-privacy-preserving-federated-representation-learning-2109.14611</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-communication-efficient-and-privacy-preserving-federated-representation-learning-2109.14611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-communication-efficient-and-privacy-preserving-federated-representation-learning-2109.14611"/></url>
<url><loc>https://scifaro.com/en/abs/a-study-of-feature-selection-and-extraction-algorithms-for-cancer-subtype-prediction-2109.14648</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-study-of-feature-selection-and-extraction-algorithms-for-cancer-subtype-prediction-2109.14648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-study-of-feature-selection-and-extraction-algorithms-for-cancer-subtype-prediction-2109.14648"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-of-accuracy-fairness-explainability-distributional-robustness-and-adversarial-robustness-2109.14653</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-of-accuracy-fairness-explainability-distributional-robustness-and-adversarial-robustness-2109.14653"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-of-accuracy-fairness-explainability-distributional-robustness-and-adversarial-robustness-2109.14653"/></url>
<url><loc>https://scifaro.com/en/abs/data-sharing-and-compression-for-cooperative-networked-control-2109.14675</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-sharing-and-compression-for-cooperative-networked-control-2109.14675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-sharing-and-compression-for-cooperative-networked-control-2109.14675"/></url>
<url><loc>https://scifaro.com/en/abs/active-refinement-for-multi-label-learning-a-pseudo-label-approach-2109.14676</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-refinement-for-multi-label-learning-a-pseudo-label-approach-2109.14676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-refinement-for-multi-label-learning-a-pseudo-label-approach-2109.14676"/></url>
<url><loc>https://scifaro.com/en/abs/mitigation-of-adversarial-policy-imitation-via-constrained-randomization-of-policy-crop-2109.14678</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigation-of-adversarial-policy-imitation-via-constrained-randomization-of-policy-crop-2109.14678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigation-of-adversarial-policy-imitation-via-constrained-randomization-of-policy-crop-2109.14678"/></url>
<url><loc>https://scifaro.com/en/abs/vision-aided-beam-tracking-explore-the-proper-use-of-camera-images-with-deep-learning-2109.14686</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vision-aided-beam-tracking-explore-the-proper-use-of-camera-images-with-deep-learning-2109.14686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vision-aided-beam-tracking-explore-the-proper-use-of-camera-images-with-deep-learning-2109.14686"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-estimation-of-kl-divergence-using-a-discriminator-in-reproducing-kernel-hilbert-space-2109.14688</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-estimation-of-kl-divergence-using-a-discriminator-in-reproducing-kernel-hilbert-space-2109.14688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-estimation-of-kl-divergence-using-a-discriminator-in-reproducing-kernel-hilbert-space-2109.14688"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-estimation-under-multiple-resources-a-bandit-point-of-view-2109.14703</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-estimation-under-multiple-resources-a-bandit-point-of-view-2109.14703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-estimation-under-multiple-resources-a-bandit-point-of-view-2109.14703"/></url>
<url><loc>https://scifaro.com/en/abs/bullettrain-accelerating-robust-neural-network-training-via-boundary-example-mining-2109.14707</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bullettrain-accelerating-robust-neural-network-training-via-boundary-example-mining-2109.14707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bullettrain-accelerating-robust-neural-network-training-via-boundary-example-mining-2109.14707"/></url>
<url><loc>https://scifaro.com/en/abs/explanation-aware-experience-replay-in-rule-dense-environments-2109.14711</loc><lastmod>2022-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explanation-aware-experience-replay-in-rule-dense-environments-2109.14711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explanation-aware-experience-replay-in-rule-dense-environments-2109.14711"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-with-controlled-variable-selection-for-the-identification-of-putative-causal-genetic-variants-2109.14719</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-with-controlled-variable-selection-for-the-identification-of-putative-causal-genetic-variants-2109.14719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-with-controlled-variable-selection-for-the-identification-of-putative-causal-genetic-variants-2109.14719"/></url>
<url><loc>https://scifaro.com/en/abs/tiny-crnn-streaming-wakeword-detection-in-a-low-footprint-setting-2109.14725</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tiny-crnn-streaming-wakeword-detection-in-a-low-footprint-setting-2109.14725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tiny-crnn-streaming-wakeword-detection-in-a-low-footprint-setting-2109.14725"/></url>
<url><loc>https://scifaro.com/en/abs/dr-jekyll-and-mr-hyde-the-strange-case-of-off-policy-policy-updates-2109.14727</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dr-jekyll-and-mr-hyde-the-strange-case-of-off-policy-policy-updates-2109.14727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dr-jekyll-and-mr-hyde-the-strange-case-of-off-policy-policy-updates-2109.14727"/></url>
<url><loc>https://scifaro.com/en/abs/batched-bandits-with-crowd-externalities-2109.14733</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batched-bandits-with-crowd-externalities-2109.14733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batched-bandits-with-crowd-externalities-2109.14733"/></url>
<url><loc>https://scifaro.com/en/abs/unlocking-the-potential-of-deep-learning-for-marine-ecology-overview-applications-and-outlook-2109.14737</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unlocking-the-potential-of-deep-learning-for-marine-ecology-overview-applications-and-outlook-2109.14737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unlocking-the-potential-of-deep-learning-for-marine-ecology-overview-applications-and-outlook-2109.14737"/></url>
<url><loc>https://scifaro.com/en/abs/posttraumatic-stress-disorder-hyperarousal-event-detection-using-smartwatch-physiological-and-activity-data-2109.14743</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/posttraumatic-stress-disorder-hyperarousal-event-detection-using-smartwatch-physiological-and-activity-data-2109.14743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/posttraumatic-stress-disorder-hyperarousal-event-detection-using-smartwatch-physiological-and-activity-data-2109.14743"/></url>
<url><loc>https://scifaro.com/en/abs/calda-improving-multi-source-time-series-domain-adaptation-with-contrastive-adversarial-learning-2109.14778</loc><lastmod>2023-07-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calda-improving-multi-source-time-series-domain-adaptation-with-contrastive-adversarial-learning-2109.14778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calda-improving-multi-source-time-series-domain-adaptation-with-contrastive-adversarial-learning-2109.14778"/></url>
<url><loc>https://scifaro.com/en/abs/bitcoin-transaction-strategy-construction-based-on-deep-reinforcement-learning-2109.14789</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bitcoin-transaction-strategy-construction-based-on-deep-reinforcement-learning-2109.14789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bitcoin-transaction-strategy-construction-based-on-deep-reinforcement-learning-2109.14789"/></url>
<url><loc>https://scifaro.com/en/abs/towards-better-data-augmentation-using-wasserstein-distance-in-variational-auto-encoder-2109.14795</loc><lastmod>2022-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-better-data-augmentation-using-wasserstein-distance-in-variational-auto-encoder-2109.14795"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-better-data-augmentation-using-wasserstein-distance-in-variational-auto-encoder-2109.14795"/></url>
<url><loc>https://scifaro.com/en/abs/introducing-the-dome-activation-functions-2109.14798</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introducing-the-dome-activation-functions-2109.14798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introducing-the-dome-activation-functions-2109.14798"/></url>
<url><loc>https://scifaro.com/en/abs/surveillance-evasion-through-bayesian-reinforcement-learning-2109.14811</loc><lastmod>2023-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surveillance-evasion-through-bayesian-reinforcement-learning-2109.14811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surveillance-evasion-through-bayesian-reinforcement-learning-2109.14811"/></url>
<url><loc>https://scifaro.com/en/abs/a-generalized-hierarchical-nonnegative-tensor-decomposition-2109.14820</loc><lastmod>2022-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generalized-hierarchical-nonnegative-tensor-decomposition-2109.14820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generalized-hierarchical-nonnegative-tensor-decomposition-2109.14820"/></url>
<url><loc>https://scifaro.com/en/abs/a-system-on-chip-for-melanoma-detection-using-fpga-based-svm-classifier-2109.14840</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-system-on-chip-for-melanoma-detection-using-fpga-based-svm-classifier-2109.14840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-system-on-chip-for-melanoma-detection-using-fpga-based-svm-classifier-2109.14840"/></url>
<url><loc>https://scifaro.com/en/abs/life-learning-individual-features-for-multivariate-time-series-prediction-with-missing-values-2109.14844</loc><lastmod>2023-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/life-learning-individual-features-for-multivariate-time-series-prediction-with-missing-values-2109.14844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/life-learning-individual-features-for-multivariate-time-series-prediction-with-missing-values-2109.14844"/></url>
<url><loc>https://scifaro.com/en/abs/from-zero-shot-machine-learning-to-zero-day-attack-detection-2109.14868</loc><lastmod>2023-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-zero-shot-machine-learning-to-zero-day-attack-detection-2109.14868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-zero-shot-machine-learning-to-zero-day-attack-detection-2109.14868"/></url>
<url><loc>https://scifaro.com/en/abs/early-bearing-fault-diagnosis-of-rotating-machinery-by-1d-self-organized-operational-neural-networks-2109.14873</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-bearing-fault-diagnosis-of-rotating-machinery-by-1d-self-organized-operational-neural-networks-2109.14873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-bearing-fault-diagnosis-of-rotating-machinery-by-1d-self-organized-operational-neural-networks-2109.14873"/></url>
<url><loc>https://scifaro.com/en/abs/process-discovery-on-deviant-traces-and-other-stranger-things-2109.14883</loc><lastmod>2025-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/process-discovery-on-deviant-traces-and-other-stranger-things-2109.14883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/process-discovery-on-deviant-traces-and-other-stranger-things-2109.14883"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-distribution-detection-for-medical-applications-guidelines-for-practical-evaluation-2109.14885</loc><lastmod>2022-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-distribution-detection-for-medical-applications-guidelines-for-practical-evaluation-2109.14885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-distribution-detection-for-medical-applications-guidelines-for-practical-evaluation-2109.14885"/></url>
<url><loc>https://scifaro.com/en/abs/how-neural-processes-improve-graph-link-prediction-2109.14894</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-neural-processes-improve-graph-link-prediction-2109.14894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-neural-processes-improve-graph-link-prediction-2109.14894"/></url>
<url><loc>https://scifaro.com/en/abs/impact-of-channel-variation-on-one-class-learning-for-spoof-detection-2109.14900</loc><lastmod>2022-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impact-of-channel-variation-on-one-class-learning-for-spoof-detection-2109.14900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impact-of-channel-variation-on-one-class-learning-for-spoof-detection-2109.14900"/></url>
<url><loc>https://scifaro.com/en/abs/genealogical-population-based-training-for-hyperparameter-optimization-2109.14925</loc><lastmod>2023-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/genealogical-population-based-training-for-hyperparameter-optimization-2109.14925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/genealogical-population-based-training-for-hyperparameter-optimization-2109.14925"/></url>
<url><loc>https://scifaro.com/en/abs/a-useful-criterion-on-studying-consistent-estimation-in-community-detection-2109.14950</loc><lastmod>2022-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-useful-criterion-on-studying-consistent-estimation-in-community-detection-2109.14950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-useful-criterion-on-studying-consistent-estimation-in-community-detection-2109.14950"/></url>
<url><loc>https://scifaro.com/en/abs/prune-your-model-before-distill-it-2109.14960</loc><lastmod>2022-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prune-your-model-before-distill-it-2109.14960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prune-your-model-before-distill-it-2109.14960"/></url>
<url><loc>https://scifaro.com/en/abs/a-privacy-preserving-distributed-training-framework-for-cooperative-multi-agent-deep-reinforcement-learning-2109.14998</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-privacy-preserving-distributed-training-framework-for-cooperative-multi-agent-deep-reinforcement-learning-2109.14998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-privacy-preserving-distributed-training-framework-for-cooperative-multi-agent-deep-reinforcement-learning-2109.14998"/></url>
<url><loc>https://scifaro.com/en/abs/xproax-local-explanations-for-text-classification-with-progressive-neighborhood-approximation-2109.15004</loc><lastmod>2022-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/xproax-local-explanations-for-text-classification-with-progressive-neighborhood-approximation-2109.15004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/xproax-local-explanations-for-text-classification-with-progressive-neighborhood-approximation-2109.15004"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-compression-via-concurrent-pruning-and-self-distillation-2109.15014</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-compression-via-concurrent-pruning-and-self-distillation-2109.15014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-compression-via-concurrent-pruning-and-self-distillation-2109.15014"/></url>
<url><loc>https://scifaro.com/en/abs/focus-rating-xai-methods-and-finding-biases-2109.15035</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/focus-rating-xai-methods-and-finding-biases-2109.15035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/focus-rating-xai-methods-and-finding-biases-2109.15035"/></url>
<url><loc>https://scifaro.com/en/abs/automated-workers-ergonomic-risk-assessment-in-manual-material-handling-using-semg-wearable-sensors-and-machine-learning-2109.15036</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-workers-ergonomic-risk-assessment-in-manual-material-handling-using-semg-wearable-sensors-and-machine-learning-2109.15036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-workers-ergonomic-risk-assessment-in-manual-material-handling-using-semg-wearable-sensors-and-machine-learning-2109.15036"/></url>
<url><loc>https://scifaro.com/en/abs/a-priori-calibration-of-transient-kinetics-data-via-machine-learning-2109.15042</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-priori-calibration-of-transient-kinetics-data-via-machine-learning-2109.15042"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-priori-calibration-of-transient-kinetics-data-via-machine-learning-2109.15042"/></url>
<url><loc>https://scifaro.com/en/abs/spate-gan-improved-generative-modeling-of-dynamic-spatio-temporal-patterns-with-an-autoregressive-embedding-loss-2109.15044</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spate-gan-improved-generative-modeling-of-dynamic-spatio-temporal-patterns-with-an-autoregressive-embedding-loss-2109.15044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spate-gan-improved-generative-modeling-of-dynamic-spatio-temporal-patterns-with-an-autoregressive-embedding-loss-2109.15044"/></url>
<url><loc>https://scifaro.com/en/abs/scale-invariant-learning-by-physics-inversion-2109.15048</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scale-invariant-learning-by-physics-inversion-2109.15048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scale-invariant-learning-by-physics-inversion-2109.15048"/></url>
<url><loc>https://scifaro.com/en/abs/an-offline-deep-reinforcement-learning-for-maintenance-decision-making-2109.15050</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-offline-deep-reinforcement-learning-for-maintenance-decision-making-2109.15050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-offline-deep-reinforcement-learning-for-maintenance-decision-making-2109.15050"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-bio-inspired-modularity-in-general-learning-2109.15097</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-bio-inspired-modularity-in-general-learning-2109.15097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-bio-inspired-modularity-in-general-learning-2109.15097"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-rule-based-representation-learning-for-interpretable-classification-2109.15103</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-rule-based-representation-learning-for-interpretable-classification-2109.15103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-rule-based-representation-learning-for-interpretable-classification-2109.15103"/></url>
<url><loc>https://scifaro.com/en/abs/interpretability-in-safety-critical-financialtrading-systems-2109.15112</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretability-in-safety-critical-financialtrading-systems-2109.15112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretability-in-safety-critical-financialtrading-systems-2109.15112"/></url>
<url><loc>https://scifaro.com/en/abs/redesigning-the-transformer-architecture-with-insights-from-multi-particle-dynamical-systems-2109.15142</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/redesigning-the-transformer-architecture-with-insights-from-multi-particle-dynamical-systems-2109.15142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/redesigning-the-transformer-architecture-with-insights-from-multi-particle-dynamical-systems-2109.15142"/></url>
<url><loc>https://scifaro.com/en/abs/deep-embedded-k-means-clustering-2109.15149</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-embedded-k-means-clustering-2109.15149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-embedded-k-means-clustering-2109.15149"/></url>
<url><loc>https://scifaro.com/en/abs/coordinated-reinforcement-learning-for-optimizing-mobile-networks-2109.15175</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coordinated-reinforcement-learning-for-optimizing-mobile-networks-2109.15175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coordinated-reinforcement-learning-for-optimizing-mobile-networks-2109.15175"/></url>
<url><loc>https://scifaro.com/en/abs/semi-tensor-product-based-tensordecomposition-for-neural-network-compression-2109.15200</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-tensor-product-based-tensordecomposition-for-neural-network-compression-2109.15200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-tensor-product-based-tensordecomposition-for-neural-network-compression-2109.15200"/></url>
<url><loc>https://scifaro.com/en/abs/coding-for-straggler-mitigation-in-federated-learning-2109.15226</loc><lastmod>2022-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coding-for-straggler-mitigation-in-federated-learning-2109.15226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coding-for-straggler-mitigation-in-federated-learning-2109.15226"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-bandit-algorithms-for-settings-with-sequentially-available-arms-2109.15228</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-bandit-algorithms-for-settings-with-sequentially-available-arms-2109.15228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-bandit-algorithms-for-settings-with-sequentially-available-arms-2109.15228"/></url>
<url><loc>https://scifaro.com/en/abs/multi-scale-graph-wavenet-for-wind-speed-forecasting-2109.15239</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-scale-graph-wavenet-for-wind-speed-forecasting-2109.15239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-scale-graph-wavenet-for-wind-speed-forecasting-2109.15239"/></url>
<url><loc>https://scifaro.com/en/abs/latent-network-embedding-via-adversarial-auto-encoders-2109.15257</loc><lastmod>2021-10-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-network-embedding-via-adversarial-auto-encoders-2109.15257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-network-embedding-via-adversarial-auto-encoders-2109.15257"/></url>
<url><loc>https://scifaro.com/en/abs/federated-dropout-a-simple-approach-for-enabling-federated-learning-on-resource-constrained-devices-2109.15258</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-dropout-a-simple-approach-for-enabling-federated-learning-on-resource-constrained-devices-2109.15258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-dropout-a-simple-approach-for-enabling-federated-learning-on-resource-constrained-devices-2109.15258"/></url>
<url><loc>https://scifaro.com/en/abs/daas-differentiable-architecture-and-augmentation-policy-search-2109.15273</loc><lastmod>2022-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/daas-differentiable-architecture-and-augmentation-policy-search-2109.15273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/daas-differentiable-architecture-and-augmentation-policy-search-2109.15273"/></url>
<url><loc>https://scifaro.com/en/abs/which-design-decisions-in-ai-enabled-mobile-applications-contribute-to-greener-ai-2109.15284</loc><lastmod>2023-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-design-decisions-in-ai-enabled-mobile-applications-contribute-to-greener-ai-2109.15284"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-design-decisions-in-ai-enabled-mobile-applications-contribute-to-greener-ai-2109.15284"/></url>
<url><loc>https://scifaro.com/en/abs/pubtables-1m-towards-comprehensive-table-extraction-from-unstructured-documents-2110.00061</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pubtables-1m-towards-comprehensive-table-extraction-from-unstructured-documents-2110.00061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pubtables-1m-towards-comprehensive-table-extraction-from-unstructured-documents-2110.00061"/></url>
<url><loc>https://scifaro.com/en/abs/piets-parallelised-irregularity-encoders-for-forecasting-with-heterogeneous-time-series-2110.00071</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/piets-parallelised-irregularity-encoders-for-forecasting-with-heterogeneous-time-series-2110.00071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/piets-parallelised-irregularity-encoders-for-forecasting-with-heterogeneous-time-series-2110.00071"/></url>
<url><loc>https://scifaro.com/en/abs/determining-standard-occupational-classification-codes-from-job-descriptions-in-immigration-petitions-2110.00078</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/determining-standard-occupational-classification-codes-from-job-descriptions-in-immigration-petitions-2110.00078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/determining-standard-occupational-classification-codes-from-job-descriptions-in-immigration-petitions-2110.00078"/></url>
<url><loc>https://scifaro.com/en/abs/two-ways-towards-combining-sequential-neural-network-and-statistical-methods-to-improve-the-prediction-of-time-series-2110.00082</loc><lastmod>2021-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-ways-towards-combining-sequential-neural-network-and-statistical-methods-to-improve-the-prediction-of-time-series-2110.00082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-ways-towards-combining-sequential-neural-network-and-statistical-methods-to-improve-the-prediction-of-time-series-2110.00082"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-trustworthiness-of-tree-ensemble-explainability-methods-2110.00086</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-trustworthiness-of-tree-ensemble-explainability-methods-2110.00086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-trustworthiness-of-tree-ensemble-explainability-methods-2110.00086"/></url>
<url><loc>https://scifaro.com/en/abs/strengthening-probabilistic-graphical-models-the-purge-and-merge-algorithm-2110.00091</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strengthening-probabilistic-graphical-models-the-purge-and-merge-algorithm-2110.00091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strengthening-probabilistic-graphical-models-the-purge-and-merge-algorithm-2110.00091"/></url>
<url><loc>https://scifaro.com/en/abs/useridentifier-implicit-user-representations-for-simple-and-effective-personalized-sentiment-analysis-2110.00135</loc><lastmod>2022-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/useridentifier-implicit-user-representations-for-simple-and-effective-personalized-sentiment-analysis-2110.00135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/useridentifier-implicit-user-representations-for-simple-and-effective-personalized-sentiment-analysis-2110.00135"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-teacher-aware-learning-2110.00137</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-teacher-aware-learning-2110.00137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-teacher-aware-learning-2110.00137"/></url>
<url><loc>https://scifaro.com/en/abs/asymptotic-performance-of-thompson-sampling-in-the-batched-multi-armed-bandits-2110.00158</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymptotic-performance-of-thompson-sampling-in-the-batched-multi-armed-bandits-2110.00158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymptotic-performance-of-thompson-sampling-in-the-batched-multi-armed-bandits-2110.00158"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-models-for-prediction-of-droplet-collision-outcomes-2110.00167</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-models-for-prediction-of-droplet-collision-outcomes-2110.00167"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-models-for-prediction-of-droplet-collision-outcomes-2110.00167"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-quantitative-analysis-of-covid-19-forecasting-models-2110.00174</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-quantitative-analysis-of-covid-19-forecasting-models-2110.00174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-quantitative-analysis-of-covid-19-forecasting-models-2110.00174"/></url>
<url><loc>https://scifaro.com/en/abs/dualnet-continual-learning-fast-and-slow-2110.00175</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dualnet-continual-learning-fast-and-slow-2110.00175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dualnet-continual-learning-fast-and-slow-2110.00175"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-covid-19-patient-shielding-a-comprehensive-study-2110.00183</loc><lastmod>2022-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-covid-19-patient-shielding-a-comprehensive-study-2110.00183"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-covid-19-patient-shielding-a-comprehensive-study-2110.00183"/></url>
<url><loc>https://scifaro.com/en/abs/offline-reinforcement-learning-with-reverse-model-based-imagination-2110.00188</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-reinforcement-learning-with-reverse-model-based-imagination-2110.00188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-reinforcement-learning-with-reverse-model-based-imagination-2110.00188"/></url>
<url><loc>https://scifaro.com/en/abs/perturbated-gradients-updating-within-unit-space-for-deep-learning-2110.00199</loc><lastmod>2022-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perturbated-gradients-updating-within-unit-space-for-deep-learning-2110.00199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perturbated-gradients-updating-within-unit-space-for-deep-learning-2110.00199"/></url>
<url><loc>https://scifaro.com/en/abs/batched-thompson-sampling-2110.00202</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batched-thompson-sampling-2110.00202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batched-thompson-sampling-2110.00202"/></url>
<url><loc>https://scifaro.com/en/abs/q-net-a-quantitative-susceptibility-mapping-based-deep-neural-network-for-differential-diagnosis-of-brain-iron-deposition-in-hemochromatosis-2110.00203</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/q-net-a-quantitative-susceptibility-mapping-based-deep-neural-network-for-differential-diagnosis-of-brain-iron-deposition-in-hemochromatosis-2110.00203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/q-net-a-quantitative-susceptibility-mapping-based-deep-neural-network-for-differential-diagnosis-of-brain-iron-deposition-in-hemochromatosis-2110.00203"/></url>
<url><loc>https://scifaro.com/en/abs/dnn-opt-an-rl-inspired-optimization-for-analog-circuit-sizing-using-deep-neural-networks-2110.00211</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dnn-opt-an-rl-inspired-optimization-for-analog-circuit-sizing-using-deep-neural-networks-2110.00211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dnn-opt-an-rl-inspired-optimization-for-analog-circuit-sizing-using-deep-neural-networks-2110.00211"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-airfoil-design-method-for-generating-varieties-of-smooth-airfoils-using-conditional-wgan-gp-2110.00212</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-airfoil-design-method-for-generating-varieties-of-smooth-airfoils-using-conditional-wgan-gp-2110.00212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-airfoil-design-method-for-generating-varieties-of-smooth-airfoils-using-conditional-wgan-gp-2110.00212"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-importance-of-gradients-for-detecting-distributional-shifts-in-the-wild-2110.00218</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-importance-of-gradients-for-detecting-distributional-shifts-in-the-wild-2110.00218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-importance-of-gradients-for-detecting-distributional-shifts-in-the-wild-2110.00218"/></url>
<url><loc>https://scifaro.com/en/abs/open-set-classification-of-common-waveforms-using-a-deep-feed-forward-network-and-binary-isolation-forest-models-2110.00252</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/open-set-classification-of-common-waveforms-using-a-deep-feed-forward-network-and-binary-isolation-forest-models-2110.00252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/open-set-classification-of-common-waveforms-using-a-deep-feed-forward-network-and-binary-isolation-forest-models-2110.00252"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-assessments-of-light-duty-gasoline-vehicle-emissions-using-on-road-remote-sensing-and-machine-learning-2110.00260</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-assessments-of-light-duty-gasoline-vehicle-emissions-using-on-road-remote-sensing-and-machine-learning-2110.00260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-assessments-of-light-duty-gasoline-vehicle-emissions-using-on-road-remote-sensing-and-machine-learning-2110.00260"/></url>
<url><loc>https://scifaro.com/en/abs/divergence-regularized-multi-agent-actor-critic-2110.00304</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/divergence-regularized-multi-agent-actor-critic-2110.00304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/divergence-regularized-multi-agent-actor-critic-2110.00304"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-power-grid-topology-in-machine-learning-assisted-optimal-power-flow-2110.00306</loc><lastmod>2022-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-power-grid-topology-in-machine-learning-assisted-optimal-power-flow-2110.00306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-power-grid-topology-in-machine-learning-assisted-optimal-power-flow-2110.00306"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-boundary-values-of-feature-based-machine-learning-classifiers-through-exploratory-datamorphic-testing-2110.00330</loc><lastmod>2022-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-boundary-values-of-feature-based-machine-learning-classifiers-through-exploratory-datamorphic-testing-2110.00330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-boundary-values-of-feature-based-machine-learning-classifiers-through-exploratory-datamorphic-testing-2110.00330"/></url>
<url><loc>https://scifaro.com/en/abs/tree-in-tree-from-decision-trees-to-decision-graphs-2110.00392</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-in-tree-from-decision-trees-to-decision-graphs-2110.00392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-in-tree-from-decision-trees-to-decision-graphs-2110.00392"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-networks-for-integrated-machine-learning-2110.00415</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-networks-for-integrated-machine-learning-2110.00415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-networks-for-integrated-machine-learning-2110.00415"/></url>
<url><loc>https://scifaro.com/en/abs/arbitrary-marginal-neural-ratio-estimation-for-simulation-based-inference-2110.00449</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arbitrary-marginal-neural-ratio-estimation-for-simulation-based-inference-2110.00449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arbitrary-marginal-neural-ratio-estimation-for-simulation-based-inference-2110.00449"/></url>
<url><loc>https://scifaro.com/en/abs/towards-gradient-based-bilevel-optimization-with-non-convex-followers-and-beyond-2110.00455</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-gradient-based-bilevel-optimization-with-non-convex-followers-and-beyond-2110.00455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-gradient-based-bilevel-optimization-with-non-convex-followers-and-beyond-2110.00455"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-rehabilitation-robotics-based-on-online-learning-control-2110.00481</loc><lastmod>2022-09-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-rehabilitation-robotics-based-on-online-learning-control-2110.00481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-rehabilitation-robotics-based-on-online-learning-control-2110.00481"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-robust-autoencoders-for-outlier-detection-2110.00494</loc><lastmod>2022-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-robust-autoencoders-for-outlier-detection-2110.00494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-robust-autoencoders-for-outlier-detection-2110.00494"/></url>
<url><loc>https://scifaro.com/en/abs/an-ensemble-based-multi-criteria-decision-making-method-for-covid-19-cough-classification-2110.00508</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-ensemble-based-multi-criteria-decision-making-method-for-covid-19-cough-classification-2110.00508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-ensemble-based-multi-criteria-decision-making-method-for-covid-19-cough-classification-2110.00508"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-datasets-for-fairness-aware-machine-learning-2110.00530</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-datasets-for-fairness-aware-machine-learning-2110.00530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-datasets-for-fairness-aware-machine-learning-2110.00530"/></url>
<url><loc>https://scifaro.com/en/abs/layer-wise-and-dimension-wise-locally-adaptive-federated-learning-2110.00532</loc><lastmod>2022-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layer-wise-and-dimension-wise-locally-adaptive-federated-learning-2110.00532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layer-wise-and-dimension-wise-locally-adaptive-federated-learning-2110.00532"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-the-fairness-of-fine-tuning-strategies-in-self-supervised-learning-2110.00538</loc><lastmod>2021-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-the-fairness-of-fine-tuning-strategies-in-self-supervised-learning-2110.00538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-the-fairness-of-fine-tuning-strategies-in-self-supervised-learning-2110.00538"/></url>
<url><loc>https://scifaro.com/en/abs/applying-differential-privacy-to-tensor-completion-2110.00539</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applying-differential-privacy-to-tensor-completion-2110.00539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applying-differential-privacy-to-tensor-completion-2110.00539"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-contrastive-learning-2110.00552</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-contrastive-learning-2110.00552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-contrastive-learning-2110.00552"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-deep-gaussian-processes-empirical-bayes-hyperdata-learning-2110.00568</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-deep-gaussian-processes-empirical-bayes-hyperdata-learning-2110.00568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-deep-gaussian-processes-empirical-bayes-hyperdata-learning-2110.00568"/></url>
<url><loc>https://scifaro.com/en/abs/reconstruction-for-powerful-graph-representations-2110.00577</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconstruction-for-powerful-graph-representations-2110.00577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconstruction-for-powerful-graph-representations-2110.00577"/></url>
<url><loc>https://scifaro.com/en/abs/smate-semi-supervised-spatio-temporal-representation-learning-on-multivariate-time-series-2110.00578</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smate-semi-supervised-spatio-temporal-representation-learning-on-multivariate-time-series-2110.00578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smate-semi-supervised-spatio-temporal-representation-learning-on-multivariate-time-series-2110.00578"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-time-series-data-using-boosted-decision-trees-2110.00581</loc><lastmod>2022-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-time-series-data-using-boosted-decision-trees-2110.00581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-time-series-data-using-boosted-decision-trees-2110.00581"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-erectile-dysfunction-after-treatment-for-localized-prostate-cancer-2110.00615</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-erectile-dysfunction-after-treatment-for-localized-prostate-cancer-2110.00615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-erectile-dysfunction-after-treatment-for-localized-prostate-cancer-2110.00615"/></url>
<url><loc>https://scifaro.com/en/abs/calibrated-adversarial-training-2110.00623</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrated-adversarial-training-2110.00623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrated-adversarial-training-2110.00623"/></url>
<url><loc>https://scifaro.com/en/abs/accelerate-distributed-stochastic-descent-for-nonconvex-optimization-with-momentum-2110.00625</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerate-distributed-stochastic-descent-for-nonconvex-optimization-with-momentum-2110.00625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerate-distributed-stochastic-descent-for-nonconvex-optimization-with-momentum-2110.00625"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-complexity-of-the-optimal-transport-problem-with-graph-structured-cost-2110.00627</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-complexity-of-the-optimal-transport-problem-with-graph-structured-cost-2110.00627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-complexity-of-the-optimal-transport-problem-with-graph-structured-cost-2110.00627"/></url>
<url><loc>https://scifaro.com/en/abs/albu-an-approximate-loopy-belief-message-passing-algorithm-for-lda-to-improve-performance-on-small-data-sets-2110.00635</loc><lastmod>2022-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/albu-an-approximate-loopy-belief-message-passing-algorithm-for-lda-to-improve-performance-on-small-data-sets-2110.00635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/albu-an-approximate-loopy-belief-message-passing-algorithm-for-lda-to-improve-performance-on-small-data-sets-2110.00635"/></url>
<url><loc>https://scifaro.com/en/abs/ml4c-seeing-causality-through-latent-vicinity-2110.00637</loc><lastmod>2023-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ml4c-seeing-causality-through-latent-vicinity-2110.00637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ml4c-seeing-causality-through-latent-vicinity-2110.00637"/></url>
<url><loc>https://scifaro.com/en/abs/batch-size-invariance-for-policy-optimization-2110.00641</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-size-invariance-for-policy-optimization-2110.00641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-size-invariance-for-policy-optimization-2110.00641"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-home-based-screening-of-obstructive-sleep-apnea-using-single-channel-electrocardiogram-and-spo2-signals-2110.00660</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-home-based-screening-of-obstructive-sleep-apnea-using-single-channel-electrocardiogram-and-spo2-signals-2110.00660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-home-based-screening-of-obstructive-sleep-apnea-using-single-channel-electrocardiogram-and-spo2-signals-2110.00660"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-algorithmic-recourse-2110.00673</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-algorithmic-recourse-2110.00673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-algorithmic-recourse-2110.00673"/></url>
<url><loc>https://scifaro.com/en/abs/contraction-theory-for-nonlinear-stability-analysis-and-learning-based-control-a-tutorial-overview-2110.00675</loc><lastmod>2026-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contraction-theory-for-nonlinear-stability-analysis-and-learning-based-control-a-tutorial-overview-2110.00675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contraction-theory-for-nonlinear-stability-analysis-and-learning-based-control-a-tutorial-overview-2110.00675"/></url>
<url><loc>https://scifaro.com/en/abs/learning-through-atypical-phase-transitions-in-overparameterized-neural-networks-2110.00683</loc><lastmod>2022-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-through-atypical-phase-transitions-in-overparameterized-neural-networks-2110.00683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-through-atypical-phase-transitions-in-overparameterized-neural-networks-2110.00683"/></url>
<url><loc>https://scifaro.com/en/abs/learning-compact-representations-of-neural-networks-using-discriminative-masking-dam-2110.00684</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-compact-representations-of-neural-networks-using-discriminative-masking-dam-2110.00684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-compact-representations-of-neural-networks-using-discriminative-masking-dam-2110.00684"/></url>
<url><loc>https://scifaro.com/en/abs/fast-multi-resolution-transformer-fine-tuning-for-extreme-multi-label-text-classification-2110.00685</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-multi-resolution-transformer-fine-tuning-for-extreme-multi-label-text-classification-2110.00685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-multi-resolution-transformer-fine-tuning-for-extreme-multi-label-text-classification-2110.00685"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretical-overview-of-neural-contraction-metrics-for-learning-based-control-with-guaranteed-stability-2110.00693</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-overview-of-neural-contraction-metrics-for-learning-based-control-with-guaranteed-stability-2110.00693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-overview-of-neural-contraction-metrics-for-learning-based-control-with-guaranteed-stability-2110.00693"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-rain-fade-prediction-in-satellite-communications-2110.00695</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-rain-fade-prediction-in-satellite-communications-2110.00695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-rain-fade-prediction-in-satellite-communications-2110.00695"/></url>
<url><loc>https://scifaro.com/en/abs/partner-aware-algorithms-in-decentralized-cooperative-bandit-teams-2110.00751</loc><lastmod>2021-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partner-aware-algorithms-in-decentralized-cooperative-bandit-teams-2110.00751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partner-aware-algorithms-in-decentralized-cooperative-bandit-teams-2110.00751"/></url>
<url><loc>https://scifaro.com/en/abs/seeking-visual-discomfort-curiosity-driven-representations-for-reinforcement-learning-2110.00784</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seeking-visual-discomfort-curiosity-driven-representations-for-reinforcement-learning-2110.00784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seeking-visual-discomfort-curiosity-driven-representations-for-reinforcement-learning-2110.00784"/></url>
<url><loc>https://scifaro.com/en/abs/inference-infogan-inference-independence-via-embedding-orthogonal-basis-expansion-2110.00788</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inference-infogan-inference-independence-via-embedding-orthogonal-basis-expansion-2110.00788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inference-infogan-inference-independence-via-embedding-orthogonal-basis-expansion-2110.00788"/></url>
<url><loc>https://scifaro.com/en/abs/proto-program-guided-transformer-for-program-guided-tasks-2110.00804</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proto-program-guided-transformer-for-program-guided-tasks-2110.00804"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proto-program-guided-transformer-for-program-guided-tasks-2110.00804"/></url>
<url><loc>https://scifaro.com/en/abs/cycle-consistent-world-models-for-domain-independent-latent-imagination-2110.00808</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cycle-consistent-world-models-for-domain-independent-latent-imagination-2110.00808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cycle-consistent-world-models-for-domain-independent-latent-imagination-2110.00808"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-sars-cov-2-spike-sequences-based-on-geographical-location-2110.00809</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-sars-cov-2-spike-sequences-based-on-geographical-location-2110.00809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-sars-cov-2-spike-sequences-based-on-geographical-location-2110.00809"/></url>
<url><loc>https://scifaro.com/en/abs/consider-the-alternatives-navigating-fairness-accuracy-tradeoffs-via-disqualification-2110.00813</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consider-the-alternatives-navigating-fairness-accuracy-tradeoffs-via-disqualification-2110.00813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consider-the-alternatives-navigating-fairness-accuracy-tradeoffs-via-disqualification-2110.00813"/></url>
<url><loc>https://scifaro.com/en/abs/calibrated-multiple-output-quantile-regression-with-representation-learning-2110.00816</loc><lastmod>2022-12-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/calibrated-multiple-output-quantile-regression-with-representation-learning-2110.00816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/calibrated-multiple-output-quantile-regression-with-representation-learning-2110.00816"/></url>
<url><loc>https://scifaro.com/en/abs/ai-back-end-as-a-service-for-learning-switching-of-mobile-apps-between-the-fog-and-the-cloud-2110.00836</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ai-back-end-as-a-service-for-learning-switching-of-mobile-apps-between-the-fog-and-the-cloud-2110.00836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ai-back-end-as-a-service-for-learning-switching-of-mobile-apps-between-the-fog-and-the-cloud-2110.00836"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-approaches-for-knowledge-discovery-in-grid-based-geo-spatiotemporal-data-2110.00841</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-approaches-for-knowledge-discovery-in-grid-based-geo-spatiotemporal-data-2110.00841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-approaches-for-knowledge-discovery-in-grid-based-geo-spatiotemporal-data-2110.00841"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-and-passive-learning-of-networked-dynamical-systems-driven-by-non-white-exogenous-inputs-2110.00852</loc><lastmod>2022-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-and-passive-learning-of-networked-dynamical-systems-driven-by-non-white-exogenous-inputs-2110.00852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-and-passive-learning-of-networked-dynamical-systems-driven-by-non-white-exogenous-inputs-2110.00852"/></url>
<url><loc>https://scifaro.com/en/abs/survtrace-transformers-for-survival-analysis-with-competing-events-2110.00855</loc><lastmod>2022-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survtrace-transformers-for-survival-analysis-with-competing-events-2110.00855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survtrace-transformers-for-survival-analysis-with-competing-events-2110.00855"/></url>
<url><loc>https://scifaro.com/en/abs/fairfed-enabling-group-fairness-in-federated-learning-2110.00857</loc><lastmod>2022-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairfed-enabling-group-fairness-in-federated-learning-2110.00857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairfed-enabling-group-fairness-in-federated-learning-2110.00857"/></url>
<url><loc>https://scifaro.com/en/abs/feel-good-thompson-sampling-for-contextual-bandits-and-reinforcement-learning-2110.00871</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feel-good-thompson-sampling-for-contextual-bandits-and-reinforcement-learning-2110.00871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feel-good-thompson-sampling-for-contextual-bandits-and-reinforcement-learning-2110.00871"/></url>
<url><loc>https://scifaro.com/en/abs/fast-line-search-for-multi-task-learning-2110.00874</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-line-search-for-multi-task-learning-2110.00874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-line-search-for-multi-task-learning-2110.00874"/></url>
<url><loc>https://scifaro.com/en/abs/brac-improved-behavior-regularized-actor-critic-for-offline-reinforcement-learning-2110.00894</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/brac-improved-behavior-regularized-actor-critic-for-offline-reinforcement-learning-2110.00894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/brac-improved-behavior-regularized-actor-critic-for-offline-reinforcement-learning-2110.00894"/></url>
<url><loc>https://scifaro.com/en/abs/grown-grow-only-when-necessary-for-continual-learning-2110.00908</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grown-grow-only-when-necessary-for-continual-learning-2110.00908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grown-grow-only-when-necessary-for-continual-learning-2110.00908"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-model-robustness-and-fairness-with-causality-a-regularization-approach-2110.00911</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-model-robustness-and-fairness-with-causality-a-regularization-approach-2110.00911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-model-robustness-and-fairness-with-causality-a-regularization-approach-2110.00911"/></url>
<url><loc>https://scifaro.com/en/abs/progressive-transmission-and-inference-of-deep-learning-models-2110.00916</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progressive-transmission-and-inference-of-deep-learning-models-2110.00916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progressive-transmission-and-inference-of-deep-learning-models-2110.00916"/></url>
<url><loc>https://scifaro.com/en/abs/does-deep-learning-model-calibration-improve-performance-in-class-imbalanced-medical-image-classification-2110.00918</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-deep-learning-model-calibration-improve-performance-in-class-imbalanced-medical-image-classification-2110.00918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-deep-learning-model-calibration-improve-performance-in-class-imbalanced-medical-image-classification-2110.00918"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-characterization-of-the-generalization-error-for-iterative-semi-supervised-learning-2110.00926</loc><lastmod>2022-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-characterization-of-the-generalization-error-for-iterative-semi-supervised-learning-2110.00926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-characterization-of-the-generalization-error-for-iterative-semi-supervised-learning-2110.00926"/></url>
<url><loc>https://scifaro.com/en/abs/scheduling-optimization-techniques-for-neural-network-training-2110.00929</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scheduling-optimization-techniques-for-neural-network-training-2110.00929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scheduling-optimization-techniques-for-neural-network-training-2110.00929"/></url>
<url><loc>https://scifaro.com/en/abs/kalman-bayesian-neural-networks-for-closed-form-online-learning-2110.00944</loc><lastmod>2022-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kalman-bayesian-neural-networks-for-closed-form-online-learning-2110.00944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kalman-bayesian-neural-networks-for-closed-form-online-learning-2110.00944"/></url>
<url><loc>https://scifaro.com/en/abs/boost-neural-networks-by-checkpoints-2110.00959</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boost-neural-networks-by-checkpoints-2110.00959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boost-neural-networks-by-checkpoints-2110.00959"/></url>
<url><loc>https://scifaro.com/en/abs/graph-pointer-neural-networks-2110.00973</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-pointer-neural-networks-2110.00973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-pointer-neural-networks-2110.00973"/></url>
<url><loc>https://scifaro.com/en/abs/simple-recurrent-neural-networks-is-all-we-need-for-clinical-events-predictions-using-ehr-data-2110.00998</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-recurrent-neural-networks-is-all-we-need-for-clinical-events-predictions-using-ehr-data-2110.00998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-recurrent-neural-networks-is-all-we-need-for-clinical-events-predictions-using-ehr-data-2110.00998"/></url>
<url><loc>https://scifaro.com/en/abs/rap-net-region-attention-predictive-network-for-precipitation-nowcasting-2110.01035</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rap-net-region-attention-predictive-network-for-precipitation-nowcasting-2110.01035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rap-net-region-attention-predictive-network-for-precipitation-nowcasting-2110.01035"/></url>
<url><loc>https://scifaro.com/en/abs/learn-then-test-calibrating-predictive-algorithms-to-achieve-risk-control-2110.01052</loc><lastmod>2022-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-then-test-calibrating-predictive-algorithms-to-achieve-risk-control-2110.01052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-then-test-calibrating-predictive-algorithms-to-achieve-risk-control-2110.01052"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-actors-and-learners-a-framework-for-generating-scalable-rl-implementations-2110.01101</loc><lastmod>2021-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-actors-and-learners-a-framework-for-generating-scalable-rl-implementations-2110.01101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-actors-and-learners-a-framework-for-generating-scalable-rl-implementations-2110.01101"/></url>
<url><loc>https://scifaro.com/en/abs/tinyfedtl-federated-transfer-learning-on-tiny-devices-2110.01107</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tinyfedtl-federated-transfer-learning-on-tiny-devices-2110.01107"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tinyfedtl-federated-transfer-learning-on-tiny-devices-2110.01107"/></url>
<url><loc>https://scifaro.com/en/abs/human-centered-ai-for-data-science-a-systematic-approach-2110.01108</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-centered-ai-for-data-science-a-systematic-approach-2110.01108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-centered-ai-for-data-science-a-systematic-approach-2110.01108"/></url>
<url><loc>https://scifaro.com/en/abs/fairmask-better-fairness-via-model-based-rebalancing-of-protected-attributes-2110.01109</loc><lastmod>2022-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairmask-better-fairness-via-model-based-rebalancing-of-protected-attributes-2110.01109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairmask-better-fairness-via-model-based-rebalancing-of-protected-attributes-2110.01109"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-principal-agent-mean-field-games-2110.01127</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-principal-agent-mean-field-games-2110.01127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-principal-agent-mean-field-games-2110.01127"/></url>
<url><loc>https://scifaro.com/en/abs/an-analysis-of-super-net-heuristics-in-weight-sharing-nas-2110.01154</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analysis-of-super-net-heuristics-in-weight-sharing-nas-2110.01154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analysis-of-super-net-heuristics-in-weight-sharing-nas-2110.01154"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-topics-discovering-latent-healthcare-objectives-from-event-sequences-2110.01160</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-topics-discovering-latent-healthcare-objectives-from-event-sequences-2110.01160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-topics-discovering-latent-healthcare-objectives-from-event-sequences-2110.01160"/></url>
<url><loc>https://scifaro.com/en/abs/deep-fraud-detection-on-non-attributed-graph-2110.01171</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-fraud-detection-on-non-attributed-graph-2110.01171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-fraud-detection-on-non-attributed-graph-2110.01171"/></url>
<url><loc>https://scifaro.com/en/abs/dendrift-a-drift-aware-algorithm-for-host-profiling-2110.01221</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dendrift-a-drift-aware-algorithm-for-host-profiling-2110.01221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dendrift-a-drift-aware-algorithm-for-host-profiling-2110.01221"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-identification-of-butterfly-sparse-matrix-factorizations-2110.01230</loc><lastmod>2022-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-identification-of-butterfly-sparse-matrix-factorizations-2110.01230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-identification-of-butterfly-sparse-matrix-factorizations-2110.01230"/></url>
<url><loc>https://scifaro.com/en/abs/identifiability-in-two-layer-sparse-matrix-factorization-2110.01235</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiability-in-two-layer-sparse-matrix-factorization-2110.01235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiability-in-two-layer-sparse-matrix-factorization-2110.01235"/></url>
<url><loc>https://scifaro.com/en/abs/consistency-regularization-can-improve-robustness-to-label-noise-2110.01242</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistency-regularization-can-improve-robustness-to-label-noise-2110.01242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistency-regularization-can-improve-robustness-to-label-noise-2110.01242"/></url>
<url><loc>https://scifaro.com/en/abs/behaviour-conditioned-policies-for-cooperative-reinforcement-learning-tasks-2110.01266</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/behaviour-conditioned-policies-for-cooperative-reinforcement-learning-tasks-2110.01266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/behaviour-conditioned-policies-for-cooperative-reinforcement-learning-tasks-2110.01266"/></url>
<url><loc>https://scifaro.com/en/abs/git-clustering-based-on-graph-of-intensity-topology-2110.01274</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/git-clustering-based-on-graph-of-intensity-topology-2110.01274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/git-clustering-based-on-graph-of-intensity-topology-2110.01274"/></url>
<url><loc>https://scifaro.com/en/abs/an-ao-admm-approach-to-constraining-parafac2-on-all-modes-2110.01278</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-ao-admm-approach-to-constraining-parafac2-on-all-modes-2110.01278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-ao-admm-approach-to-constraining-parafac2-on-all-modes-2110.01278"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-class-learning-using-variational-autoencoders-with-similarity-learning-2110.01303</loc><lastmod>2023-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-class-learning-using-variational-autoencoders-with-similarity-learning-2110.01303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-class-learning-using-variational-autoencoders-with-similarity-learning-2110.01303"/></url>
<url><loc>https://scifaro.com/en/abs/acdc-online-unsupervised-cross-domain-adaptation-2110.01326</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/acdc-online-unsupervised-cross-domain-adaptation-2110.01326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/acdc-online-unsupervised-cross-domain-adaptation-2110.01326"/></url>
<url><loc>https://scifaro.com/en/abs/simulated-annealing-for-optimization-of-graphs-and-sequences-2110.01384</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simulated-annealing-for-optimization-of-graphs-and-sequences-2110.01384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simulated-annealing-for-optimization-of-graphs-and-sequences-2110.01384"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-with-knowledge-constraints-for-process-optimization-of-open-air-perovskite-solar-cell-manufacturing-2110.01387</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-with-knowledge-constraints-for-process-optimization-of-open-air-perovskite-solar-cell-manufacturing-2110.01387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-with-knowledge-constraints-for-process-optimization-of-open-air-perovskite-solar-cell-manufacturing-2110.01387"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-verification-in-control-2110.01388</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-verification-in-control-2110.01388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-verification-in-control-2110.01388"/></url>
<url><loc>https://scifaro.com/en/abs/mulberry-leaf-yield-prediction-using-machine-learning-techniques-2110.01394</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mulberry-leaf-yield-prediction-using-machine-learning-techniques-2110.01394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mulberry-leaf-yield-prediction-using-machine-learning-techniques-2110.01394"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-ipl-match-outcome-using-machine-learning-techniques-2110.01395</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-ipl-match-outcome-using-machine-learning-techniques-2110.01395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-ipl-match-outcome-using-machine-learning-techniques-2110.01395"/></url>
<url><loc>https://scifaro.com/en/abs/red-data-free-pruning-of-deep-neural-networks-via-input-splitting-and-output-merging-2110.01397</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/red-data-free-pruning-of-deep-neural-networks-via-input-splitting-and-output-merging-2110.01397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/red-data-free-pruning-of-deep-neural-networks-via-input-splitting-and-output-merging-2110.01397"/></url>
<url><loc>https://scifaro.com/en/abs/mobtcast-leveraging-auxiliary-trajectory-forecasting-for-human-mobility-prediction-2110.01401</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mobtcast-leveraging-auxiliary-trajectory-forecasting-for-human-mobility-prediction-2110.01401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mobtcast-leveraging-auxiliary-trajectory-forecasting-for-human-mobility-prediction-2110.01401"/></url>
<url><loc>https://scifaro.com/en/abs/medperf-open-benchmarking-platform-for-medical-artificial-intelligence-using-federated-evaluation-2110.01406</loc><lastmod>2023-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/medperf-open-benchmarking-platform-for-medical-artificial-intelligence-using-federated-evaluation-2110.01406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/medperf-open-benchmarking-platform-for-medical-artificial-intelligence-using-federated-evaluation-2110.01406"/></url>
<url><loc>https://scifaro.com/en/abs/development-of-an-autism-screening-classification-model-for-toddlers-2110.01410</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/development-of-an-autism-screening-classification-model-for-toddlers-2110.01410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/development-of-an-autism-screening-classification-model-for-toddlers-2110.01410"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-versus-evolution-strategies-a-comparative-survey-2110.01411</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-versus-evolution-strategies-a-comparative-survey-2110.01411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-versus-evolution-strategies-a-comparative-survey-2110.01411"/></url>
<url><loc>https://scifaro.com/en/abs/unraveling-the-graph-structure-of-tabular-data-through-bayesian-and-spectral-analysis-2110.01421</loc><lastmod>2023-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unraveling-the-graph-structure-of-tabular-data-through-bayesian-and-spectral-analysis-2110.01421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unraveling-the-graph-structure-of-tabular-data-through-bayesian-and-spectral-analysis-2110.01421"/></url>
<url><loc>https://scifaro.com/en/abs/instrumental-variable-driven-domain-generalization-with-unobserved-confounders-2110.01438</loc><lastmod>2023-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instrumental-variable-driven-domain-generalization-with-unobserved-confounders-2110.01438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instrumental-variable-driven-domain-generalization-with-unobserved-confounders-2110.01438"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-generative-adversarial-networks-gans-and-its-applications-in-a-wide-variety-of-disciplines-from-medical-to-remote-sensing-2110.01442</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-generative-adversarial-networks-gans-and-its-applications-in-a-wide-variety-of-disciplines-from-medical-to-remote-sensing-2110.01442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-generative-adversarial-networks-gans-and-its-applications-in-a-wide-variety-of-disciplines-from-medical-to-remote-sensing-2110.01442"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-decomposable-average-precision-for-image-retrieval-2110.01445</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-decomposable-average-precision-for-image-retrieval-2110.01445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-decomposable-average-precision-for-image-retrieval-2110.01445"/></url>
<url><loc>https://scifaro.com/en/abs/label-propagation-through-optimal-transport-2110.01446</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-propagation-through-optimal-transport-2110.01446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-propagation-through-optimal-transport-2110.01446"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-predictive-maintenance-using-autoencoder-reconstruction-and-anomaly-detection-2110.01447</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-predictive-maintenance-using-autoencoder-reconstruction-and-anomaly-detection-2110.01447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-predictive-maintenance-using-autoencoder-reconstruction-and-anomaly-detection-2110.01447"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-neural-network-and-its-application-research-progress-in-distillation-2110.01449</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-neural-network-and-its-application-research-progress-in-distillation-2110.01449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-neural-network-and-its-application-research-progress-in-distillation-2110.01449"/></url>
<url><loc>https://scifaro.com/en/abs/extended-dynamic-mode-decomposition-with-dictionary-learning-using-neural-ordinary-differential-equations-2110.01450</loc><lastmod>2022-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extended-dynamic-mode-decomposition-with-dictionary-learning-using-neural-ordinary-differential-equations-2110.01450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extended-dynamic-mode-decomposition-with-dictionary-learning-using-neural-ordinary-differential-equations-2110.01450"/></url>
<url><loc>https://scifaro.com/en/abs/designing-complex-experiments-by-applying-unsupervised-machine-learning-2110.01458</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-complex-experiments-by-applying-unsupervised-machine-learning-2110.01458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-complex-experiments-by-applying-unsupervised-machine-learning-2110.01458"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-path-planning-using-deep-reinforcement-learning-2110.01460</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-path-planning-using-deep-reinforcement-learning-2110.01460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-path-planning-using-deep-reinforcement-learning-2110.01460"/></url>
<url><loc>https://scifaro.com/en/abs/asynchronous-upper-confidence-bound-algorithms-for-federated-linear-bandits-2110.01463</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asynchronous-upper-confidence-bound-algorithms-for-federated-linear-bandits-2110.01463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asynchronous-upper-confidence-bound-algorithms-for-federated-linear-bandits-2110.01463"/></url>
<url><loc>https://scifaro.com/en/abs/hypertenet-hypergraph-and-transformer-based-neural-network-for-personalized-list-continuation-2110.01467</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypertenet-hypergraph-and-transformer-based-neural-network-for-personalized-list-continuation-2110.01467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypertenet-hypergraph-and-transformer-based-neural-network-for-personalized-list-continuation-2110.01467"/></url>
<url><loc>https://scifaro.com/en/abs/fine-grained-neural-network-explanation-by-identifying-input-features-with-predictive-information-2110.01471</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fine-grained-neural-network-explanation-by-identifying-input-features-with-predictive-information-2110.01471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fine-grained-neural-network-explanation-by-identifying-input-features-with-predictive-information-2110.01471"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-learning-approaches-for-automated-chest-x-ray-diagnosis-2110.01474</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-learning-approaches-for-automated-chest-x-ray-diagnosis-2110.01474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-learning-approaches-for-automated-chest-x-ray-diagnosis-2110.01474"/></url>
<url><loc>https://scifaro.com/en/abs/risk-aware-learning-for-scalable-voltage-optimization-in-distribution-grids-2110.01490</loc><lastmod>2022-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-aware-learning-for-scalable-voltage-optimization-in-distribution-grids-2110.01490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-aware-learning-for-scalable-voltage-optimization-in-distribution-grids-2110.01490"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-and-underspecification-in-acoustic-scene-classification-the-case-for-disaggregated-evaluations-2110.01506</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-and-underspecification-in-acoustic-scene-classification-the-case-for-disaggregated-evaluations-2110.01506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-and-underspecification-in-acoustic-scene-classification-the-case-for-disaggregated-evaluations-2110.01506"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-the-gumbel-max-trick-and-its-extensions-for-discrete-stochasticity-in-machine-learning-2110.01515</loc><lastmod>2022-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-the-gumbel-max-trick-and-its-extensions-for-discrete-stochasticity-in-machine-learning-2110.01515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-the-gumbel-max-trick-and-its-extensions-for-discrete-stochasticity-in-machine-learning-2110.01515"/></url>
<url><loc>https://scifaro.com/en/abs/skill-induction-and-planning-with-latent-language-2110.01517</loc><lastmod>2022-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skill-induction-and-planning-with-latent-language-2110.01517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skill-induction-and-planning-with-latent-language-2110.01517"/></url>
<url><loc>https://scifaro.com/en/abs/large-batch-experience-replay-2110.01528</loc><lastmod>2022-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-batch-experience-replay-2110.01528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-batch-experience-replay-2110.01528"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-spline-approximations-2110.01532</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-spline-approximations-2110.01532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-spline-approximations-2110.01532"/></url>
<url><loc>https://scifaro.com/en/abs/traffic-flow-forecasting-with-maintenance-downtime-via-multi-channel-attention-based-spatio-temporal-graph-convolutional-networks-2110.01535</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/traffic-flow-forecasting-with-maintenance-downtime-via-multi-channel-attention-based-spatio-temporal-graph-convolutional-networks-2110.01535"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/traffic-flow-forecasting-with-maintenance-downtime-via-multi-channel-attention-based-spatio-temporal-graph-convolutional-networks-2110.01535"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-anderson-mixing-for-nonconvex-stochastic-optimization-2110.01543</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-anderson-mixing-for-nonconvex-stochastic-optimization-2110.01543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-anderson-mixing-for-nonconvex-stochastic-optimization-2110.01543"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-based-offline-reinforcement-learning-with-diversified-q-ensemble-2110.01548</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-based-offline-reinforcement-learning-with-diversified-q-ensemble-2110.01548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-based-offline-reinforcement-learning-with-diversified-q-ensemble-2110.01548"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-investigation-of-learning-from-biased-toxicity-labels-2110.01577</loc><lastmod>2021-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-investigation-of-learning-from-biased-toxicity-labels-2110.01577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-investigation-of-learning-from-biased-toxicity-labels-2110.01577"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-generalization-bounds-for-black-box-learning-algorithms-2110.01584</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-generalization-bounds-for-black-box-learning-algorithms-2110.01584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-generalization-bounds-for-black-box-learning-algorithms-2110.01584"/></url>
<url><loc>https://scifaro.com/en/abs/solon-communication-efficient-byzantine-resilient-distributed-training-via-redundant-gradients-2110.01595</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solon-communication-efficient-byzantine-resilient-distributed-training-via-redundant-gradients-2110.01595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solon-communication-efficient-byzantine-resilient-distributed-training-via-redundant-gradients-2110.01595"/></url>
<url><loc>https://scifaro.com/en/abs/neufenet-neural-finite-element-solutions-with-theoretical-bounds-for-parametric-pdes-2110.01601</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neufenet-neural-finite-element-solutions-with-theoretical-bounds-for-parametric-pdes-2110.01601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neufenet-neural-finite-element-solutions-with-theoretical-bounds-for-parametric-pdes-2110.01601"/></url>
<url><loc>https://scifaro.com/en/abs/an-energy-based-model-for-neuro-symbolic-reasoning-on-knowledge-graphs-2110.01639</loc><lastmod>2023-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-energy-based-model-for-neuro-symbolic-reasoning-on-knowledge-graphs-2110.01639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-energy-based-model-for-neuro-symbolic-reasoning-on-knowledge-graphs-2110.01639"/></url>
<url><loc>https://scifaro.com/en/abs/robust-linear-classification-from-limited-training-data-2110.01648</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-linear-classification-from-limited-training-data-2110.01648"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-linear-classification-from-limited-training-data-2110.01648"/></url>
<url><loc>https://scifaro.com/en/abs/improved-architectures-and-training-algorithms-for-deep-operator-networks-2110.01654</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-architectures-and-training-algorithms-for-deep-operator-networks-2110.01654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-architectures-and-training-algorithms-for-deep-operator-networks-2110.01654"/></url>
<url><loc>https://scifaro.com/en/abs/cross-modal-virtual-sensing-for-combustion-instability-monitoring-2110.01659</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-modal-virtual-sensing-for-combustion-instability-monitoring-2110.01659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-modal-virtual-sensing-for-combustion-instability-monitoring-2110.01659"/></url>
<url><loc>https://scifaro.com/en/abs/global-convergence-and-stability-of-stochastic-gradient-descent-2110.01663</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convergence-and-stability-of-stochastic-gradient-descent-2110.01663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convergence-and-stability-of-stochastic-gradient-descent-2110.01663"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-shortcut-and-shortlist-order-fulfillment-deciding-2110.01668</loc><lastmod>2022-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-shortcut-and-shortlist-order-fulfillment-deciding-2110.01668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-shortcut-and-shortlist-order-fulfillment-deciding-2110.01668"/></url>
<url><loc>https://scifaro.com/en/abs/a-manifold-learning-approach-for-gesture-recognition-from-micro-doppler-radar-measurements-2110.01670</loc><lastmod>2022-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-manifold-learning-approach-for-gesture-recognition-from-micro-doppler-radar-measurements-2110.01670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-manifold-learning-approach-for-gesture-recognition-from-micro-doppler-radar-measurements-2110.01670"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-learning-for-product-assortment-graph-completion-2110.01677</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-learning-for-product-assortment-graph-completion-2110.01677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-learning-for-product-assortment-graph-completion-2110.01677"/></url>
<url><loc>https://scifaro.com/en/abs/hyppo-a-surrogate-based-multi-level-parallelism-tool-for-hyperparameter-optimization-2110.01698</loc><lastmod>2022-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyppo-a-surrogate-based-multi-level-parallelism-tool-for-hyperparameter-optimization-2110.01698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyppo-a-surrogate-based-multi-level-parallelism-tool-for-hyperparameter-optimization-2110.01698"/></url>
<url><loc>https://scifaro.com/en/abs/molecule3d-a-benchmark-for-predicting-3d-geometries-from-molecular-graphs-2110.01717</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molecule3d-a-benchmark-for-predicting-3d-geometries-from-molecular-graphs-2110.01717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molecule3d-a-benchmark-for-predicting-3d-geometries-from-molecular-graphs-2110.01717"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-projection-learning-method-fordynamic-mode-decomposition-2110.01718</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-projection-learning-method-fordynamic-mode-decomposition-2110.01718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-projection-learning-method-fordynamic-mode-decomposition-2110.01718"/></url>
<url><loc>https://scifaro.com/en/abs/pre-quantized-deep-learning-models-codified-in-onnx-to-enable-hardware-software-co-design-2110.01730</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pre-quantized-deep-learning-models-codified-in-onnx-to-enable-hardware-software-co-design-2110.01730"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pre-quantized-deep-learning-models-codified-in-onnx-to-enable-hardware-software-co-design-2110.01730"/></url>
<url><loc>https://scifaro.com/en/abs/adjointbackmapv2-precise-reconstruction-of-arbitrary-cnn-unit-s-activation-via-adjoint-operators-2110.01736</loc><lastmod>2023-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adjointbackmapv2-precise-reconstruction-of-arbitrary-cnn-unit-s-activation-via-adjoint-operators-2110.01736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adjointbackmapv2-precise-reconstruction-of-arbitrary-cnn-unit-s-activation-via-adjoint-operators-2110.01736"/></url>
<url><loc>https://scifaro.com/en/abs/effects-of-multi-aspect-online-reviews-with-unobserved-confounders-estimation-and-implication-2110.01746</loc><lastmod>2022-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effects-of-multi-aspect-online-reviews-with-unobserved-confounders-estimation-and-implication-2110.01746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effects-of-multi-aspect-online-reviews-with-unobserved-confounders-estimation-and-implication-2110.01746"/></url>
<url><loc>https://scifaro.com/en/abs/bottom-up-hierarchical-classification-using-confusion-based-logit-compression-2110.01756</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bottom-up-hierarchical-classification-using-confusion-based-logit-compression-2110.01756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bottom-up-hierarchical-classification-using-confusion-based-logit-compression-2110.01756"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-training-of-deep-neural-networks-without-skip-connections-or-normalization-layers-using-deep-kernel-shaping-2110.01765</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-training-of-deep-neural-networks-without-skip-connections-or-normalization-layers-using-deep-kernel-shaping-2110.01765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-training-of-deep-neural-networks-without-skip-connections-or-normalization-layers-using-deep-kernel-shaping-2110.01765"/></url>
<url><loc>https://scifaro.com/en/abs/multi-axis-attentive-prediction-for-sparse-eventdata-an-application-to-crime-prediction-2110.01794</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-axis-attentive-prediction-for-sparse-eventdata-an-application-to-crime-prediction-2110.01794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-axis-attentive-prediction-for-sparse-eventdata-an-application-to-crime-prediction-2110.01794"/></url>
<url><loc>https://scifaro.com/en/abs/an-efficient-anomaly-detection-approach-using-cube-sampling-with-streaming-data-2110.01813</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-efficient-anomaly-detection-approach-using-cube-sampling-with-streaming-data-2110.01813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-efficient-anomaly-detection-approach-using-cube-sampling-with-streaming-data-2110.01813"/></url>
<url><loc>https://scifaro.com/en/abs/attention-augmented-convolutional-transformer-for-tabular-time-series-2110.01825</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-augmented-convolutional-transformer-for-tabular-time-series-2110.01825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-augmented-convolutional-transformer-for-tabular-time-series-2110.01825"/></url>
<url><loc>https://scifaro.com/en/abs/when-is-the-convergence-time-of-langevin-algorithms-dimension-independent-a-composite-optimization-viewpoint-2110.01827</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-is-the-convergence-time-of-langevin-algorithms-dimension-independent-a-composite-optimization-viewpoint-2110.01827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-is-the-convergence-time-of-langevin-algorithms-dimension-independent-a-composite-optimization-viewpoint-2110.01827"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-primitive-composition-simultaneous-activation-of-skills-with-inconsistent-action-dimensions-in-multiple-hierarchies-2110.01833</loc><lastmod>2022-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-primitive-composition-simultaneous-activation-of-skills-with-inconsistent-action-dimensions-in-multiple-hierarchies-2110.01833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-primitive-composition-simultaneous-activation-of-skills-with-inconsistent-action-dimensions-in-multiple-hierarchies-2110.01833"/></url>
<url><loc>https://scifaro.com/en/abs/short-term-precipitation-prediction-using-deep-learning-2110.01843</loc><lastmod>2023-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/short-term-precipitation-prediction-using-deep-learning-2110.01843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/short-term-precipitation-prediction-using-deep-learning-2110.01843"/></url>
<url><loc>https://scifaro.com/en/abs/hypernetworks-for-continual-semi-supervised-learning-2110.01856</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hypernetworks-for-continual-semi-supervised-learning-2110.01856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hypernetworks-for-continual-semi-supervised-learning-2110.01856"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-and-tabular-data-a-survey-2110.01889</loc><lastmod>2023-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-and-tabular-data-a-survey-2110.01889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-and-tabular-data-a-survey-2110.01889"/></url>
<url><loc>https://scifaro.com/en/abs/combining-physics-and-deep-learning-to-learn-continuous-time-dynamics-models-2110.01894</loc><lastmod>2023-03-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-physics-and-deep-learning-to-learn-continuous-time-dynamics-models-2110.01894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-physics-and-deep-learning-to-learn-continuous-time-dynamics-models-2110.01894"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-few-shot-learning-for-fair-classification-2110.01951</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-few-shot-learning-for-fair-classification-2110.01951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-few-shot-learning-for-fair-classification-2110.01951"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-mismatch-correction-for-improved-robustness-in-deep-neural-networks-2110.01955</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-mismatch-correction-for-improved-robustness-in-deep-neural-networks-2110.01955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-mismatch-correction-for-improved-robustness-in-deep-neural-networks-2110.01955"/></url>
<url><loc>https://scifaro.com/en/abs/energy-based-survival-modelling-using-harmoniums-2110.01960</loc><lastmod>2023-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-based-survival-modelling-using-harmoniums-2110.01960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-based-survival-modelling-using-harmoniums-2110.01960"/></url>
<url><loc>https://scifaro.com/en/abs/federating-for-learning-group-fair-models-2110.01999</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federating-for-learning-group-fair-models-2110.01999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federating-for-learning-group-fair-models-2110.01999"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-q-functions-for-doubly-efficient-reinforcement-learning-2110.02034</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-q-functions-for-doubly-efficient-reinforcement-learning-2110.02034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-q-functions-for-doubly-efficient-reinforcement-learning-2110.02034"/></url>
<url><loc>https://scifaro.com/en/abs/autoregressive-diffusion-models-2110.02037</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoregressive-diffusion-models-2110.02037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoregressive-diffusion-models-2110.02037"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-deep-learning-for-multiplex-networks-2110.02038</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-deep-learning-for-multiplex-networks-2110.02038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-deep-learning-for-multiplex-networks-2110.02038"/></url>
<url><loc>https://scifaro.com/en/abs/graph-coloring-comparing-cluster-graphs-to-factor-graphs-2110.02048</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-coloring-comparing-cluster-graphs-to-factor-graphs-2110.02048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-coloring-comparing-cluster-graphs-to-factor-graphs-2110.02048"/></url>
<url><loc>https://scifaro.com/en/abs/a-critique-of-strictly-batch-imitation-learning-2110.02063</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-critique-of-strictly-batch-imitation-learning-2110.02063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-critique-of-strictly-batch-imitation-learning-2110.02063"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-limits-of-large-scale-pre-training-2110.02095</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-limits-of-large-scale-pre-training-2110.02095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-limits-of-large-scale-pre-training-2110.02095"/></url>
<url><loc>https://scifaro.com/en/abs/top-n-equivariant-set-and-graph-generation-without-exchangeability-2110.02096</loc><lastmod>2022-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/top-n-equivariant-set-and-graph-generation-without-exchangeability-2110.02096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/top-n-equivariant-set-and-graph-generation-without-exchangeability-2110.02096"/></url>
<url><loc>https://scifaro.com/en/abs/carl-a-benchmark-for-contextual-and-adaptive-reinforcement-learning-2110.02102</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/carl-a-benchmark-for-contextual-and-adaptive-reinforcement-learning-2110.02102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/carl-a-benchmark-for-contextual-and-adaptive-reinforcement-learning-2110.02102"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-with-constraint-learning-a-framework-and-survey-2110.02121</loc><lastmod>2022-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-with-constraint-learning-a-framework-and-survey-2110.02121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-with-constraint-learning-a-framework-and-survey-2110.02121"/></url>
<url><loc>https://scifaro.com/en/abs/neurwin-neural-whittle-index-network-for-restless-bandits-via-deep-rl-2110.02128</loc><lastmod>2022-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neurwin-neural-whittle-index-network-for-restless-bandits-via-deep-rl-2110.02128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neurwin-neural-whittle-index-network-for-restless-bandits-via-deep-rl-2110.02128"/></url>
<url><loc>https://scifaro.com/en/abs/label-differential-privacy-via-clustering-2110.02159</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-differential-privacy-via-clustering-2110.02159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-differential-privacy-via-clustering-2110.02159"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-n-ary-ecoc-matrices-for-ensemble-classification-2110.02161</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-n-ary-ecoc-matrices-for-ensemble-classification-2110.02161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-n-ary-ecoc-matrices-for-ensemble-classification-2110.02161"/></url>
<url><loc>https://scifaro.com/en/abs/secure-aggregation-for-buffered-asynchronous-federated-learning-2110.02177</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secure-aggregation-for-buffered-asynchronous-federated-learning-2110.02177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secure-aggregation-for-buffered-asynchronous-federated-learning-2110.02177"/></url>
<url><loc>https://scifaro.com/en/abs/noisy-feature-mixup-2110.02180</loc><lastmod>2023-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noisy-feature-mixup-2110.02180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noisy-feature-mixup-2110.02180"/></url>
<url><loc>https://scifaro.com/en/abs/tensorplan-and-the-few-actions-lower-bound-for-planning-in-mdps-under-linear-realizability-of-optimal-value-functions-2110.02195</loc><lastmod>2022-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensorplan-and-the-few-actions-lower-bound-for-planning-in-mdps-under-linear-realizability-of-optimal-value-functions-2110.02195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensorplan-and-the-few-actions-lower-bound-for-planning-in-mdps-under-linear-realizability-of-optimal-value-functions-2110.02195"/></url>
<url><loc>https://scifaro.com/en/abs/delta-uq-accurate-uncertainty-quantification-via-anchor-marginalization-2110.02197</loc><lastmod>2021-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/delta-uq-accurate-uncertainty-quantification-via-anchor-marginalization-2110.02197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/delta-uq-accurate-uncertainty-quantification-via-anchor-marginalization-2110.02197"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-federated-learning-with-binary-neural-networks-2110.02226</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-federated-learning-with-binary-neural-networks-2110.02226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-federated-learning-with-binary-neural-networks-2110.02226"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-combinatorial-bandits-with-changing-action-sets-via-gaussian-processes-2110.02248</loc><lastmod>2025-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-combinatorial-bandits-with-changing-action-sets-via-gaussian-processes-2110.02248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-combinatorial-bandits-with-changing-action-sets-via-gaussian-processes-2110.02248"/></url>
<url><loc>https://scifaro.com/en/abs/networked-time-series-prediction-with-incomplete-data-via-generative-adversarial-network-2110.02271</loc><lastmod>2023-11-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/networked-time-series-prediction-with-incomplete-data-via-generative-adversarial-network-2110.02271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/networked-time-series-prediction-with-incomplete-data-via-generative-adversarial-network-2110.02271"/></url>
<url><loc>https://scifaro.com/en/abs/feddq-communication-efficient-federated-learning-with-descending-quantization-2110.02291</loc><lastmod>2022-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feddq-communication-efficient-federated-learning-with-descending-quantization-2110.02291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feddq-communication-efficient-federated-learning-with-descending-quantization-2110.02291"/></url>
<url><loc>https://scifaro.com/en/abs/you-only-evaluate-once-a-simple-baseline-algorithm-for-offline-rl-2110.02304</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/you-only-evaluate-once-a-simple-baseline-algorithm-for-offline-rl-2110.02304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/you-only-evaluate-once-a-simple-baseline-algorithm-for-offline-rl-2110.02304"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-impact-of-stable-ranks-in-deep-nets-2110.02333</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-impact-of-stable-ranks-in-deep-nets-2110.02333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-impact-of-stable-ranks-in-deep-nets-2110.02333"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-query-an-oracle-efficient-strategies-to-label-data-2110.02341</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-query-an-oracle-efficient-strategies-to-label-data-2110.02341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-query-an-oracle-efficient-strategies-to-label-data-2110.02341"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-defenses-via-a-mixture-of-generators-2110.02364</loc><lastmod>2022-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-defenses-via-a-mixture-of-generators-2110.02364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-defenses-via-a-mixture-of-generators-2110.02364"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-algebra-attention-networks-for-small-point-clouds-2110.02393</loc><lastmod>2022-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-algebra-attention-networks-for-small-point-clouds-2110.02393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-algebra-attention-networks-for-small-point-clouds-2110.02393"/></url>
<url><loc>https://scifaro.com/en/abs/causal-explanations-of-structural-causal-models-2110.02395</loc><lastmod>2022-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-explanations-of-structural-causal-models-2110.02395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-explanations-of-structural-causal-models-2110.02395"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-newton-policy-gradient-algorithms-2110.02398</loc><lastmod>2023-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-newton-policy-gradient-algorithms-2110.02398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-newton-policy-gradient-algorithms-2110.02398"/></url>
<url><loc>https://scifaro.com/en/abs/task-affinity-with-maximum-bipartite-matching-in-few-shot-learning-2110.02399</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/task-affinity-with-maximum-bipartite-matching-in-few-shot-learning-2110.02399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/task-affinity-with-maximum-bipartite-matching-in-few-shot-learning-2110.02399"/></url>
<url><loc>https://scifaro.com/en/abs/language-modeling-using-lmus-10x-better-data-efficiency-or-improved-scaling-compared-to-transformers-2110.02402</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/language-modeling-using-lmus-10x-better-data-efficiency-or-improved-scaling-compared-to-transformers-2110.02402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/language-modeling-using-lmus-10x-better-data-efficiency-or-improved-scaling-compared-to-transformers-2110.02402"/></url>
<url><loc>https://scifaro.com/en/abs/tradeoffs-in-streaming-binary-classification-under-limited-inspection-resources-2110.02403</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tradeoffs-in-streaming-binary-classification-under-limited-inspection-resources-2110.02403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tradeoffs-in-streaming-binary-classification-under-limited-inspection-resources-2110.02403"/></url>
<url><loc>https://scifaro.com/en/abs/imaginary-hindsight-experience-replay-curious-model-based-learning-for-sparse-reward-tasks-2110.02414</loc><lastmod>2023-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imaginary-hindsight-experience-replay-curious-model-based-learning-for-sparse-reward-tasks-2110.02414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imaginary-hindsight-experience-replay-curious-model-based-learning-for-sparse-reward-tasks-2110.02414"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-off-policy-actor-critic-from-a-bias-variance-perspective-2110.02421</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-off-policy-actor-critic-from-a-bias-variance-perspective-2110.02421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-off-policy-actor-critic-from-a-bias-variance-perspective-2110.02421"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-transformers-for-protein-interface-contact-prediction-2110.02423</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-transformers-for-protein-interface-contact-prediction-2110.02423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-transformers-for-protein-interface-contact-prediction-2110.02423"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-bias-in-practice-the-role-of-function-frequency-in-generalization-2110.02424</loc><lastmod>2022-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-bias-in-practice-the-role-of-function-frequency-in-generalization-2110.02424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-bias-in-practice-the-role-of-function-frequency-in-generalization-2110.02424"/></url>
<url><loc>https://scifaro.com/en/abs/replay-guided-adversarial-environment-design-2110.02439</loc><lastmod>2022-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/replay-guided-adversarial-environment-design-2110.02439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/replay-guided-adversarial-environment-design-2110.02439"/></url>
<url><loc>https://scifaro.com/en/abs/pedestrian-wind-factor-estimation-in-complex-urban-environments-2110.02443</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pedestrian-wind-factor-estimation-in-complex-urban-environments-2110.02443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pedestrian-wind-factor-estimation-in-complex-urban-environments-2110.02443"/></url>
<url><loc>https://scifaro.com/en/abs/gda-am-on-the-effectiveness-of-solving-minimax-optimization-via-anderson-acceleration-2110.02457</loc><lastmod>2022-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gda-am-on-the-effectiveness-of-solving-minimax-optimization-via-anderson-acceleration-2110.02457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gda-am-on-the-effectiveness-of-solving-minimax-optimization-via-anderson-acceleration-2110.02457"/></url>
<url><loc>https://scifaro.com/en/abs/ssfl-tackling-label-deficiency-in-federated-learning-via-personalized-self-supervision-2110.02470</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ssfl-tackling-label-deficiency-in-federated-learning-via-personalized-self-supervision-2110.02470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ssfl-tackling-label-deficiency-in-federated-learning-via-personalized-self-supervision-2110.02470"/></url>
<url><loc>https://scifaro.com/en/abs/the-power-of-contrast-for-feature-learning-a-theoretical-analysis-2110.02473</loc><lastmod>2023-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-power-of-contrast-for-feature-learning-a-theoretical-analysis-2110.02473"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-power-of-contrast-for-feature-learning-a-theoretical-analysis-2110.02473"/></url>
<url><loc>https://scifaro.com/en/abs/shapley-variable-importance-clouds-for-interpretable-machine-learning-2110.02484</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shapley-variable-importance-clouds-for-interpretable-machine-learning-2110.02484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shapley-variable-importance-clouds-for-interpretable-machine-learning-2110.02484"/></url>
<url><loc>https://scifaro.com/en/abs/the-variability-of-model-specification-2110.02490</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-variability-of-model-specification-2110.02490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-variability-of-model-specification-2110.02490"/></url>
<url><loc>https://scifaro.com/en/abs/data-centric-ai-requires-rethinking-data-notion-2110.02491</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-centric-ai-requires-rethinking-data-notion-2110.02491"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-centric-ai-requires-rethinking-data-notion-2110.02491"/></url>
<url><loc>https://scifaro.com/en/abs/pretraining-reinforcement-learning-sharpening-the-axe-before-cutting-the-tree-2110.02497</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pretraining-reinforcement-learning-sharpening-the-axe-before-cutting-the-tree-2110.02497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pretraining-reinforcement-learning-sharpening-the-axe-before-cutting-the-tree-2110.02497"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-surrogate-gap-between-contrastive-and-supervised-losses-2110.02501</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-surrogate-gap-between-contrastive-and-supervised-losses-2110.02501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-surrogate-gap-between-contrastive-and-supervised-losses-2110.02501"/></url>
<url><loc>https://scifaro.com/en/abs/online-hyperparameter-meta-learning-with-hypergradient-distillation-2110.02508</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-hyperparameter-meta-learning-with-hypergradient-distillation-2110.02508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-hyperparameter-meta-learning-with-hypergradient-distillation-2110.02508"/></url>
<url><loc>https://scifaro.com/en/abs/cycle-representation-learning-for-inductive-relation-prediction-2110.02510</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cycle-representation-learning-for-inductive-relation-prediction-2110.02510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cycle-representation-learning-for-inductive-relation-prediction-2110.02510"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-iteratively-solve-routing-problems-with-dual-aspect-collaborative-transformer-2110.02544</loc><lastmod>2022-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-iteratively-solve-routing-problems-with-dual-aspect-collaborative-transformer-2110.02544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-iteratively-solve-routing-problems-with-dual-aspect-collaborative-transformer-2110.02544"/></url>
<url><loc>https://scifaro.com/en/abs/cbp-backpropagation-with-constraint-on-weight-precision-using-a-pseudo-lagrange-multiplier-method-2110.02550</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cbp-backpropagation-with-constraint-on-weight-precision-using-a-pseudo-lagrange-multiplier-method-2110.02550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cbp-backpropagation-with-constraint-on-weight-precision-using-a-pseudo-lagrange-multiplier-method-2110.02550"/></url>
<url><loc>https://scifaro.com/en/abs/a-regularized-wasserstein-framework-for-graph-kernels-2110.02554</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-regularized-wasserstein-framework-for-graph-kernels-2110.02554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-regularized-wasserstein-framework-for-graph-kernels-2110.02554"/></url>
<url><loc>https://scifaro.com/en/abs/t-sne-is-not-optimized-to-reveal-clusters-in-data-2110.02573</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/t-sne-is-not-optimized-to-reveal-clusters-in-data-2110.02573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/t-sne-is-not-optimized-to-reveal-clusters-in-data-2110.02573"/></url>
<url><loc>https://scifaro.com/en/abs/simplicial-convolutional-neural-networks-2110.02585</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simplicial-convolutional-neural-networks-2110.02585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simplicial-convolutional-neural-networks-2110.02585"/></url>
<url><loc>https://scifaro.com/en/abs/focus-on-the-common-good-group-distributional-robustness-follows-2110.02619</loc><lastmod>2022-04-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/focus-on-the-common-good-group-distributional-robustness-follows-2110.02619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/focus-on-the-common-good-group-distributional-robustness-follows-2110.02619"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-learning-dynamics-of-deep-neural-networks-via-complex-networks-2110.02628</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-learning-dynamics-of-deep-neural-networks-via-complex-networks-2110.02628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-learning-dynamics-of-deep-neural-networks-via-complex-networks-2110.02628"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-solving-the-heterogeneous-capacitated-vehicle-routing-problem-2110.02629</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-solving-the-heterogeneous-capacitated-vehicle-routing-problem-2110.02629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-solving-the-heterogeneous-capacitated-vehicle-routing-problem-2110.02629"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-attentions-for-solving-pickup-and-delivery-problem-via-deep-reinforcement-learning-2110.02634</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-attentions-for-solving-pickup-and-delivery-problem-via-deep-reinforcement-learning-2110.02634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-attentions-for-solving-pickup-and-delivery-problem-via-deep-reinforcement-learning-2110.02634"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-transferability-of-deep-q-networks-2110.02639</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-transferability-of-deep-q-networks-2110.02639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-transferability-of-deep-q-networks-2110.02639"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-transformer-time-series-anomaly-detection-with-association-discrepancy-2110.02642</loc><lastmod>2022-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-transformer-time-series-anomaly-detection-with-association-discrepancy-2110.02642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-transformer-time-series-anomaly-detection-with-association-discrepancy-2110.02642"/></url>
<url><loc>https://scifaro.com/en/abs/plumecitynet-multi-resolution-air-quality-forecasting-2110.02661</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plumecitynet-multi-resolution-air-quality-forecasting-2110.02661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plumecitynet-multi-resolution-air-quality-forecasting-2110.02661"/></url>
<url><loc>https://scifaro.com/en/abs/attentive-walk-aggregating-graph-neural-networks-2110.02667</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attentive-walk-aggregating-graph-neural-networks-2110.02667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attentive-walk-aggregating-graph-neural-networks-2110.02667"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-machine-learning-for-quantum-field-theory-with-equivariant-continuous-flows-2110.02673</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-machine-learning-for-quantum-field-theory-with-equivariant-continuous-flows-2110.02673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-machine-learning-for-quantum-field-theory-with-equivariant-continuous-flows-2110.02673"/></url>
<url><loc>https://scifaro.com/en/abs/knothe-rosenblatt-transport-for-unsupervised-domain-adaptation-2110.02716</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knothe-rosenblatt-transport-for-unsupervised-domain-adaptation-2110.02716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knothe-rosenblatt-transport-for-unsupervised-domain-adaptation-2110.02716"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-neural-networks-by-reflecting-deviating-data-in-production-2110.02718</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-neural-networks-by-reflecting-deviating-data-in-production-2110.02718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-neural-networks-by-reflecting-deviating-data-in-production-2110.02718"/></url>
<url><loc>https://scifaro.com/en/abs/the-information-geometry-of-unsupervised-reinforcement-learning-2110.02719</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-information-geometry-of-unsupervised-reinforcement-learning-2110.02719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-information-geometry-of-unsupervised-reinforcement-learning-2110.02719"/></url>
<url><loc>https://scifaro.com/en/abs/graphon-based-clustering-and-testing-of-networks-algorithms-and-theory-2110.02722</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphon-based-clustering-and-testing-of-networks-algorithms-and-theory-2110.02722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphon-based-clustering-and-testing-of-networks-algorithms-and-theory-2110.02722"/></url>
<url><loc>https://scifaro.com/en/abs/paradis-parallelly-distributable-slimmable-neural-networks-2110.02724</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/paradis-parallelly-distributable-slimmable-neural-networks-2110.02724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/paradis-parallelly-distributable-slimmable-neural-networks-2110.02724"/></url>
<url><loc>https://scifaro.com/en/abs/on-margin-maximization-in-linear-and-relu-networks-2110.02732</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-margin-maximization-in-linear-and-relu-networks-2110.02732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-margin-maximization-in-linear-and-relu-networks-2110.02732"/></url>
<url><loc>https://scifaro.com/en/abs/a-step-towards-efficient-evaluation-of-complex-perception-tasks-in-simulation-2110.02739</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-step-towards-efficient-evaluation-of-complex-perception-tasks-in-simulation-2110.02739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-step-towards-efficient-evaluation-of-complex-perception-tasks-in-simulation-2110.02739"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-analysis-on-jester-dataset-a-review-2110.02740</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-analysis-on-jester-dataset-a-review-2110.02740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-analysis-on-jester-dataset-a-review-2110.02740"/></url>
<url><loc>https://scifaro.com/en/abs/semi-relaxed-gromov-wasserstein-divergence-with-applications-on-graphs-2110.02753</loc><lastmod>2022-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-relaxed-gromov-wasserstein-divergence-with-applications-on-graphs-2110.02753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-relaxed-gromov-wasserstein-divergence-with-applications-on-graphs-2110.02753"/></url>
<url><loc>https://scifaro.com/en/abs/mismatched-no-more-joint-model-policy-optimization-for-model-based-rl-2110.02758</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mismatched-no-more-joint-model-policy-optimization-for-model-based-rl-2110.02758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mismatched-no-more-joint-model-policy-optimization-for-model-based-rl-2110.02758"/></url>
<url><loc>https://scifaro.com/en/abs/ftpipehd-a-fault-tolerant-pipeline-parallel-distributed-training-framework-for-heterogeneous-edge-devices-2110.02781</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ftpipehd-a-fault-tolerant-pipeline-parallel-distributed-training-framework-for-heterogeneous-edge-devices-2110.02781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ftpipehd-a-fault-tolerant-pipeline-parallel-distributed-training-framework-for-heterogeneous-edge-devices-2110.02781"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-potential-based-reward-shaping-from-task-specifications-2110.02792</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-potential-based-reward-shaping-from-task-specifications-2110.02792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-potential-based-reward-shaping-from-task-specifications-2110.02792"/></url>
<url><loc>https://scifaro.com/en/abs/an-unconstrained-layer-peeled-perspective-on-neural-collapse-2110.02796</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-unconstrained-layer-peeled-perspective-on-neural-collapse-2110.02796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-unconstrained-layer-peeled-perspective-on-neural-collapse-2110.02796"/></url>
<url><loc>https://scifaro.com/en/abs/census-independent-population-estimation-using-representation-learning-2110.02839</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/census-independent-population-estimation-using-representation-learning-2110.02839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/census-independent-population-estimation-using-representation-learning-2110.02839"/></url>
<url><loc>https://scifaro.com/en/abs/improving-generalization-of-deep-reinforcement-learning-based-tsp-solvers-2110.02843</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-generalization-of-deep-reinforcement-learning-based-tsp-solvers-2110.02843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-generalization-of-deep-reinforcement-learning-based-tsp-solvers-2110.02843"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-preserving-multiple-hypotheses-prediction-for-uncertainty-modeling-2110.02858</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-preserving-multiple-hypotheses-prediction-for-uncertainty-modeling-2110.02858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-preserving-multiple-hypotheses-prediction-for-uncertainty-modeling-2110.02858"/></url>
<url><loc>https://scifaro.com/en/abs/8-bit-optimizers-via-block-wise-quantization-2110.02861</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/8-bit-optimizers-via-block-wise-quantization-2110.02861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/8-bit-optimizers-via-block-wise-quantization-2110.02861"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-common-principal-subspace-of-deep-features-in-neural-networks-2110.02863</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-common-principal-subspace-of-deep-features-in-neural-networks-2110.02863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-common-principal-subspace-of-deep-features-in-neural-networks-2110.02863"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-q-learning-for-electrolyte-repletion-with-imbalanced-patient-sub-populations-2110.02879</loc><lastmod>2026-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-q-learning-for-electrolyte-repletion-with-imbalanced-patient-sub-populations-2110.02879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-q-learning-for-electrolyte-repletion-with-imbalanced-patient-sub-populations-2110.02879"/></url>
<url><loc>https://scifaro.com/en/abs/space-time-graph-neural-networks-2110.02880</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/space-time-graph-neural-networks-2110.02880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/space-time-graph-neural-networks-2110.02880"/></url>
<url><loc>https://scifaro.com/en/abs/style-equalization-unsupervised-learning-of-controllable-generative-sequence-models-2110.02891</loc><lastmod>2022-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/style-equalization-unsupervised-learning-of-controllable-generative-sequence-models-2110.02891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/style-equalization-unsupervised-learning-of-controllable-generative-sequence-models-2110.02891"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-metamodels-for-an-efficient-characterization-of-complex-driving-scenarios-2110.02892</loc><lastmod>2022-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-metamodels-for-an-efficient-characterization-of-complex-driving-scenarios-2110.02892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-metamodels-for-an-efficient-characterization-of-complex-driving-scenarios-2110.02892"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-popularity-of-games-on-steam-2110.02896</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-popularity-of-games-on-steam-2110.02896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-popularity-of-games-on-steam-2110.02896"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-and-physical-quantities-improve-e-3-equivariant-message-passing-2110.02905</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-and-physical-quantities-improve-e-3-equivariant-message-passing-2110.02905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-and-physical-quantities-improve-e-3-equivariant-message-passing-2110.02905"/></url>
<url><loc>https://scifaro.com/en/abs/equivariant-subgraph-aggregation-networks-2110.02910</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivariant-subgraph-aggregation-networks-2110.02910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivariant-subgraph-aggregation-networks-2110.02910"/></url>
<url><loc>https://scifaro.com/en/abs/shifting-capsule-networks-from-the-cloud-to-the-deep-edge-2110.02911</loc><lastmod>2024-04-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shifting-capsule-networks-from-the-cloud-to-the-deep-edge-2110.02911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shifting-capsule-networks-from-the-cloud-to-the-deep-edge-2110.02911"/></url>
<url><loc>https://scifaro.com/en/abs/generative-optimization-networks-for-memory-efficient-data-generation-2110.02912</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-optimization-networks-for-memory-efficient-data-generation-2110.02912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-optimization-networks-for-memory-efficient-data-generation-2110.02912"/></url>
<url><loc>https://scifaro.com/en/abs/unrolling-particles-unsupervised-learning-of-sampling-distributions-2110.02915</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unrolling-particles-unsupervised-learning-of-sampling-distributions-2110.02915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unrolling-particles-unsupervised-learning-of-sampling-distributions-2110.02915"/></url>
<url><loc>https://scifaro.com/en/abs/residual-overfit-method-of-exploration-2110.02919</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-overfit-method-of-exploration-2110.02919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-overfit-method-of-exploration-2110.02919"/></url>
<url><loc>https://scifaro.com/en/abs/no-press-diplomacy-from-scratch-2110.02924</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-press-diplomacy-from-scratch-2110.02924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-press-diplomacy-from-scratch-2110.02924"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-global-convergence-of-gradient-descent-for-multi-layer-resnets-in-the-mean-field-regime-2110.02926</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-global-convergence-of-gradient-descent-for-multi-layer-resnets-in-the-mean-field-regime-2110.02926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-global-convergence-of-gradient-descent-for-multi-layer-resnets-in-the-mean-field-regime-2110.02926"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-practices-outside-big-tech-how-resource-constraints-challenge-responsible-development-2110.02932</loc><lastmod>2021-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-practices-outside-big-tech-how-resource-constraints-challenge-responsible-development-2110.02932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-practices-outside-big-tech-how-resource-constraints-challenge-responsible-development-2110.02932"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-optimization-of-graph-convolutional-network-using-subgraph-variance-2110.02987</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-optimization-of-graph-convolutional-network-using-subgraph-variance-2110.02987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-optimization-of-graph-convolutional-network-using-subgraph-variance-2110.02987"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-via-plurality-vote-2110.02998</loc><lastmod>2022-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-via-plurality-vote-2110.02998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-via-plurality-vote-2110.02998"/></url>
<url><loc>https://scifaro.com/en/abs/generative-modeling-with-optimal-transport-maps-2110.02999</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-modeling-with-optimal-transport-maps-2110.02999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-modeling-with-optimal-transport-maps-2110.02999"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-selective-labeling-for-more-effective-semi-supervised-learning-2110.03006</loc><lastmod>2023-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-selective-labeling-for-more-effective-semi-supervised-learning-2110.03006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-selective-labeling-for-more-effective-semi-supervised-learning-2110.03006"/></url>
<url><loc>https://scifaro.com/en/abs/active-learning-of-markov-decision-processes-using-baum-welch-algorithm-extended-2110.03014</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-learning-of-markov-decision-processes-using-baum-welch-algorithm-extended-2110.03014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-learning-of-markov-decision-processes-using-baum-welch-algorithm-extended-2110.03014"/></url>
<url><loc>https://scifaro.com/en/abs/two-bit-aggregation-for-communication-efficient-and-differentially-private-federated-learning-2110.03017</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-bit-aggregation-for-communication-efficient-and-differentially-private-federated-learning-2110.03017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-bit-aggregation-for-communication-efficient-and-differentially-private-federated-learning-2110.03017"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-methods-for-online-multiclass-logistic-regression-2110.03020</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-methods-for-online-multiclass-logistic-regression-2110.03020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-methods-for-online-multiclass-logistic-regression-2110.03020"/></url>
<url><loc>https://scifaro.com/en/abs/tribuo-machine-learning-with-provenance-in-java-2110.03022</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tribuo-machine-learning-with-provenance-in-java-2110.03022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tribuo-machine-learning-with-provenance-in-java-2110.03022"/></url>
<url><loc>https://scifaro.com/en/abs/riesznet-and-forestriesz-automatic-debiased-machine-learning-with-neural-nets-and-random-forests-2110.03031</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/riesznet-and-forestriesz-automatic-debiased-machine-learning-with-neural-nets-and-random-forests-2110.03031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/riesznet-and-forestriesz-automatic-debiased-machine-learning-with-neural-nets-and-random-forests-2110.03031"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multi-objective-curricula-for-robotic-policy-learning-2110.03032</loc><lastmod>2022-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multi-objective-curricula-for-robotic-policy-learning-2110.03032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multi-objective-curricula-for-robotic-policy-learning-2110.03032"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-neural-network-simulation-of-multiphase-poroelasticity-using-stress-split-sequential-training-2110.03049</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-neural-network-simulation-of-multiphase-poroelasticity-using-stress-split-sequential-training-2110.03049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-neural-network-simulation-of-multiphase-poroelasticity-using-stress-split-sequential-training-2110.03049"/></url>
<url><loc>https://scifaro.com/en/abs/prior-and-posterior-networks-a-survey-on-evidential-deep-learning-methods-for-uncertainty-estimation-2110.03051</loc><lastmod>2023-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prior-and-posterior-networks-a-survey-on-evidential-deep-learning-methods-for-uncertainty-estimation-2110.03051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prior-and-posterior-networks-a-survey-on-evidential-deep-learning-methods-for-uncertainty-estimation-2110.03051"/></url>
<url><loc>https://scifaro.com/en/abs/fedtune-automatic-tuning-of-federated-learning-hyper-parameters-from-system-perspective-2110.03061</loc><lastmod>2022-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedtune-automatic-tuning-of-federated-learning-hyper-parameters-from-system-perspective-2110.03061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedtune-automatic-tuning-of-federated-learning-hyper-parameters-from-system-perspective-2110.03061"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-optimal-recommendation-from-explorative-users-2110.03068</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-optimal-recommendation-from-explorative-users-2110.03068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-optimal-recommendation-from-explorative-users-2110.03068"/></url>
<url><loc>https://scifaro.com/en/abs/a-uniform-framework-for-anomaly-detection-in-deep-neural-networks-2110.03092</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-uniform-framework-for-anomaly-detection-in-deep-neural-networks-2110.03092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-uniform-framework-for-anomaly-detection-in-deep-neural-networks-2110.03092"/></url>
<url><loc>https://scifaro.com/en/abs/which-shortcut-cues-will-dnns-choose-a-study-from-the-parameter-space-perspective-2110.03095</loc><lastmod>2022-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-shortcut-cues-will-dnns-choose-a-study-from-the-parameter-space-perspective-2110.03095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-shortcut-cues-will-dnns-choose-a-study-from-the-parameter-space-perspective-2110.03095"/></url>
<url><loc>https://scifaro.com/en/abs/swat-watershed-model-calibration-using-deep-learning-2110.03097</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/swat-watershed-model-calibration-using-deep-learning-2110.03097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/swat-watershed-model-calibration-using-deep-learning-2110.03097"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-pointer-networks-for-traveling-salesman-problems-optimization-2110.03104</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-pointer-networks-for-traveling-salesman-problems-optimization-2110.03104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-pointer-networks-for-traveling-salesman-problems-optimization-2110.03104"/></url>
<url><loc>https://scifaro.com/en/abs/multi-trigger-key-towards-multi-task-privacy-preserving-in-deep-learning-2110.03106</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-trigger-key-towards-multi-task-privacy-preserving-in-deep-learning-2110.03106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-trigger-key-towards-multi-task-privacy-preserving-in-deep-learning-2110.03106"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-counterfactuals-for-deep-models-2110.03109</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-counterfactuals-for-deep-models-2110.03109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-counterfactuals-for-deep-models-2110.03109"/></url>
<url><loc>https://scifaro.com/en/abs/assurance-monitoring-of-learning-enabled-cyber-physical-systems-using-inductive-conformal-prediction-based-on-distance-learning-2110.03120</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assurance-monitoring-of-learning-enabled-cyber-physical-systems-using-inductive-conformal-prediction-based-on-distance-learning-2110.03120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assurance-monitoring-of-learning-enabled-cyber-physical-systems-using-inductive-conformal-prediction-based-on-distance-learning-2110.03120"/></url>
<url><loc>https://scifaro.com/en/abs/improving-prediction-confidence-in-learning-enabled-autonomous-systems-2110.03123</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-prediction-confidence-in-learning-enabled-autonomous-systems-2110.03123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-prediction-confidence-in-learning-enabled-autonomous-systems-2110.03123"/></url>
<url><loc>https://scifaro.com/en/abs/improving-adversarial-robustness-for-free-with-snapshot-ensemble-2110.03124</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-adversarial-robustness-for-free-with-snapshot-ensemble-2110.03124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-adversarial-robustness-for-free-with-snapshot-ensemble-2110.03124"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-probability-intervals-for-classification-using-inductive-venn-predictors-based-on-distance-learning-2110.03127</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-probability-intervals-for-classification-using-inductive-venn-predictors-based-on-distance-learning-2110.03127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-probability-intervals-for-classification-using-inductive-venn-predictors-based-on-distance-learning-2110.03127"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-generalization-of-models-trained-with-sgd-information-theoretic-bounds-and-implications-2110.03128</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-generalization-of-models-trained-with-sgd-information-theoretic-bounds-and-implications-2110.03128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-generalization-of-models-trained-with-sgd-information-theoretic-bounds-and-implications-2110.03128"/></url>
<url><loc>https://scifaro.com/en/abs/label-noise-in-adversarial-training-a-novel-perspective-to-study-robust-overfitting-2110.03135</loc><lastmod>2023-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-noise-in-adversarial-training-a-novel-perspective-to-study-robust-overfitting-2110.03135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-noise-in-adversarial-training-a-novel-perspective-to-study-robust-overfitting-2110.03135"/></url>
<url><loc>https://scifaro.com/en/abs/conceptual-expansion-neural-architecture-search-cenas-2110.03144</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conceptual-expansion-neural-architecture-search-cenas-2110.03144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conceptual-expansion-neural-architecture-search-cenas-2110.03144"/></url>
<url><loc>https://scifaro.com/en/abs/prrs-outbreak-prediction-via-deep-switching-auto-regressive-factorization-modeling-2110.03147</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prrs-outbreak-prediction-via-deep-switching-auto-regressive-factorization-modeling-2110.03147"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prrs-outbreak-prediction-via-deep-switching-auto-regressive-factorization-modeling-2110.03147"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-behavioural-biometrics-for-continuous-and-adaptive-user-verification-using-smartphone-and-smartwatch-2110.03149</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-behavioural-biometrics-for-continuous-and-adaptive-user-verification-using-smartphone-and-smartwatch-2110.03149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-behavioural-biometrics-for-continuous-and-adaptive-user-verification-using-smartphone-and-smartwatch-2110.03149"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-benefits-of-categorical-distributional-loss-uncertainty-aware-regularized-exploration-in-reinforcement-learning-2110.03155</loc><lastmod>2025-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-benefits-of-categorical-distributional-loss-uncertainty-aware-regularized-exploration-in-reinforcement-learning-2110.03155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-benefits-of-categorical-distributional-loss-uncertainty-aware-regularized-exploration-in-reinforcement-learning-2110.03155"/></url>
<url><loc>https://scifaro.com/en/abs/offline-rl-with-resource-constrained-online-deployment-2110.03165</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-rl-with-resource-constrained-online-deployment-2110.03165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-rl-with-resource-constrained-online-deployment-2110.03165"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-optimization-by-learning-space-partitions-2110.03173</loc><lastmod>2024-08-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-optimization-by-learning-space-partitions-2110.03173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-optimization-by-learning-space-partitions-2110.03173"/></url>
<url><loc>https://scifaro.com/en/abs/ee-net-exploitation-exploration-neural-networks-in-contextual-bandits-2110.03177</loc><lastmod>2022-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ee-net-exploitation-exploration-neural-networks-in-contextual-bandits-2110.03177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ee-net-exploitation-exploration-neural-networks-in-contextual-bandits-2110.03177"/></url>
<url><loc>https://scifaro.com/en/abs/tile-embedding-a-general-representation-for-procedural-level-generation-via-machine-learning-2110.03181</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tile-embedding-a-general-representation-for-procedural-level-generation-via-machine-learning-2110.03181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tile-embedding-a-general-representation-for-procedural-level-generation-via-machine-learning-2110.03181"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-deep-reinforcement-learning-agents-in-the-atari-domain-through-a-surrogate-model-2110.03184</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-deep-reinforcement-learning-agents-in-the-atari-domain-through-a-surrogate-model-2110.03184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-deep-reinforcement-learning-agents-in-the-atari-domain-through-a-surrogate-model-2110.03184"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-optimal-memorization-power-of-relu-neural-networks-2110.03187</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-optimal-memorization-power-of-relu-neural-networks-2110.03187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-optimal-memorization-power-of-relu-neural-networks-2110.03187"/></url>
<url><loc>https://scifaro.com/en/abs/coresets-for-decision-trees-of-signals-2110.03195</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coresets-for-decision-trees-of-signals-2110.03195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coresets-for-decision-trees-of-signals-2110.03195"/></url>
<url><loc>https://scifaro.com/en/abs/universality-of-winning-tickets-a-renormalization-group-perspective-2110.03210</loc><lastmod>2022-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universality-of-winning-tickets-a-renormalization-group-perspective-2110.03210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universality-of-winning-tickets-a-renormalization-group-perspective-2110.03210"/></url>
<url><loc>https://scifaro.com/en/abs/darts-user-friendly-modern-machine-learning-for-time-series-2110.03224</loc><lastmod>2022-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/darts-user-friendly-modern-machine-learning-for-time-series-2110.03224"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/darts-user-friendly-modern-machine-learning-for-time-series-2110.03224"/></url>
<url><loc>https://scifaro.com/en/abs/score-based-generative-neural-networks-for-large-scale-optimal-transport-2110.03237</loc><lastmod>2025-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/score-based-generative-neural-networks-for-large-scale-optimal-transport-2110.03237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/score-based-generative-neural-networks-for-large-scale-optimal-transport-2110.03237"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-domain-randomization-for-sim-to-real-transfer-2110.03239</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-domain-randomization-for-sim-to-real-transfer-2110.03239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-domain-randomization-for-sim-to-real-transfer-2110.03239"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-reward-free-exploration-for-linear-mixture-mdps-with-plug-in-solver-2110.03244</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-reward-free-exploration-for-linear-mixture-mdps-with-plug-in-solver-2110.03244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-reward-free-exploration-for-linear-mixture-mdps-with-plug-in-solver-2110.03244"/></url>
<url><loc>https://scifaro.com/en/abs/an-uncertainty-aware-loss-function-for-training-neural-networks-with-calibrated-predictions-2110.03260</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-uncertainty-aware-loss-function-for-training-neural-networks-with-calibrated-predictions-2110.03260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-uncertainty-aware-loss-function-for-training-neural-networks-with-calibrated-predictions-2110.03260"/></url>
<url><loc>https://scifaro.com/en/abs/lagrangian-neural-network-with-differentiable-symmetries-and-relational-inductive-bias-2110.03266</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lagrangian-neural-network-with-differentiable-symmetries-and-relational-inductive-bias-2110.03266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lagrangian-neural-network-with-differentiable-symmetries-and-relational-inductive-bias-2110.03266"/></url>
<url><loc>https://scifaro.com/en/abs/agflow-fast-model-selection-of-penalized-pca-via-implicit-regularization-effects-of-gradient-flow-2110.03273</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/agflow-fast-model-selection-of-penalized-pca-via-implicit-regularization-effects-of-gradient-flow-2110.03273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/agflow-fast-model-selection-of-penalized-pca-via-implicit-regularization-effects-of-gradient-flow-2110.03273"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-autism-spectrum-disorders-with-machine-learning-models-using-speech-transcripts-2110.03281</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-autism-spectrum-disorders-with-machine-learning-models-using-speech-transcripts-2110.03281"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-autism-spectrum-disorders-with-machine-learning-models-using-speech-transcripts-2110.03281"/></url>
<url><loc>https://scifaro.com/en/abs/ef21-with-bells-whistles-six-algorithmic-extensions-of-modern-error-feedback-2110.03294</loc><lastmod>2025-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ef21-with-bells-whistles-six-algorithmic-extensions-of-modern-error-feedback-2110.03294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ef21-with-bells-whistles-six-algorithmic-extensions-of-modern-error-feedback-2110.03294"/></url>
<url><loc>https://scifaro.com/en/abs/permutation-compressors-for-provably-faster-distributed-nonconvex-optimization-2110.03300</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/permutation-compressors-for-provably-faster-distributed-nonconvex-optimization-2110.03300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/permutation-compressors-for-provably-faster-distributed-nonconvex-optimization-2110.03300"/></url>
<url><loc>https://scifaro.com/en/abs/evadedroid-a-practical-evasion-attack-on-machine-learning-for-black-box-android-malware-detection-2110.03301</loc><lastmod>2024-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evadedroid-a-practical-evasion-attack-on-machine-learning-for-black-box-android-malware-detection-2110.03301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evadedroid-a-practical-evasion-attack-on-machine-learning-for-black-box-android-malware-detection-2110.03301"/></url>
<url><loc>https://scifaro.com/en/abs/universal-approximation-under-constraints-is-possible-with-transformers-2110.03303</loc><lastmod>2022-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-approximation-under-constraints-is-possible-with-transformers-2110.03303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-approximation-under-constraints-is-possible-with-transformers-2110.03303"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-methods-with-compressed-communication-for-solving-variational-inequalities-with-theoretical-guarantees-2110.03313</loc><lastmod>2023-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-methods-with-compressed-communication-for-solving-variational-inequalities-with-theoretical-guarantees-2110.03313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-methods-with-compressed-communication-for-solving-variational-inequalities-with-theoretical-guarantees-2110.03313"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-latent-holes-of-vaes-for-text-generation-2110.03318</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-latent-holes-of-vaes-for-text-generation-2110.03318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-latent-holes-of-vaes-for-text-generation-2110.03318"/></url>
<url><loc>https://scifaro.com/en/abs/cleva-compass-a-continual-learning-evaluation-assessment-compass-to-promote-research-transparency-and-comparability-2110.03331</loc><lastmod>2022-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cleva-compass-a-continual-learning-evaluation-assessment-compass-to-promote-research-transparency-and-comparability-2110.03331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cleva-compass-a-continual-learning-evaluation-assessment-compass-to-promote-research-transparency-and-comparability-2110.03331"/></url>
<url><loc>https://scifaro.com/en/abs/frame-averaging-for-invariant-and-equivariant-network-design-2110.03336</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frame-averaging-for-invariant-and-equivariant-network-design-2110.03336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frame-averaging-for-invariant-and-equivariant-network-design-2110.03336"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-moes-meet-efficient-ensembles-2110.03360</loc><lastmod>2023-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-moes-meet-efficient-ensembles-2110.03360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-moes-meet-efficient-ensembles-2110.03360"/></url>
<url><loc>https://scifaro.com/en/abs/the-connection-between-out-of-distribution-generalization-and-privacy-of-ml-models-2110.03369</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-connection-between-out-of-distribution-generalization-and-privacy-of-ml-models-2110.03369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-connection-between-out-of-distribution-generalization-and-privacy-of-ml-models-2110.03369"/></url>
<url><loc>https://scifaro.com/en/abs/unifying-likelihood-free-inference-with-black-box-optimization-and-beyond-2110.03372</loc><lastmod>2022-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifying-likelihood-free-inference-with-black-box-optimization-and-beyond-2110.03372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifying-likelihood-free-inference-with-black-box-optimization-and-beyond-2110.03372"/></url>
<url><loc>https://scifaro.com/en/abs/learning-pessimism-for-robust-and-efficient-off-policy-reinforcement-learning-2110.03375</loc><lastmod>2023-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-pessimism-for-robust-and-efficient-off-policy-reinforcement-learning-2110.03375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-pessimism-for-robust-and-efficient-off-policy-reinforcement-learning-2110.03375"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-anomaly-detection-based-on-prediction-intervals-constructed-using-deep-learning-2110.03393</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-anomaly-detection-based-on-prediction-intervals-constructed-using-deep-learning-2110.03393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-anomaly-detection-based-on-prediction-intervals-constructed-using-deep-learning-2110.03393"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-deep-neural-networks-with-rectified-linear-units-using-duality-2110.03403</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-deep-neural-networks-with-rectified-linear-units-using-duality-2110.03403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-deep-neural-networks-with-rectified-linear-units-using-duality-2110.03403"/></url>
<url><loc>https://scifaro.com/en/abs/joint-calibration-and-mapping-of-satellite-altimetry-data-using-trainable-variational-models-2110.03405</loc><lastmod>2023-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-calibration-and-mapping-of-satellite-altimetry-data-using-trainable-variational-models-2110.03405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-calibration-and-mapping-of-satellite-altimetry-data-using-trainable-variational-models-2110.03405"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-effect-of-lockdowns-and-other-effects-on-india-covid-19-infections-using-seir-model-and-machine-learning-2110.03422</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-effect-of-lockdowns-and-other-effects-on-india-covid-19-infections-using-seir-model-and-machine-learning-2110.03422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-effect-of-lockdowns-and-other-effects-on-india-covid-19-infections-using-seir-model-and-machine-learning-2110.03422"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-gpu-implementation-of-randomized-svd-and-its-applications-2110.03423</loc><lastmod>2024-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-gpu-implementation-of-randomized-svd-and-its-applications-2110.03423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-gpu-implementation-of-randomized-svd-and-its-applications-2110.03423"/></url>
<url><loc>https://scifaro.com/en/abs/bad-policy-density-a-measure-of-reinforcement-learning-hardness-2110.03424</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bad-policy-density-a-measure-of-reinforcement-learning-hardness-2110.03424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bad-policy-density-a-measure-of-reinforcement-learning-hardness-2110.03424"/></url>
<url><loc>https://scifaro.com/en/abs/fast-learning-from-label-proportions-with-small-bags-2110.03426</loc><lastmod>2022-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-learning-from-label-proportions-with-small-bags-2110.03426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-learning-from-label-proportions-with-small-bags-2110.03426"/></url>
<url><loc>https://scifaro.com/en/abs/is-attention-always-needed-a-case-study-on-language-identification-from-speech-2110.03427</loc><lastmod>2026-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-attention-always-needed-a-case-study-on-language-identification-from-speech-2110.03427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-attention-always-needed-a-case-study-on-language-identification-from-speech-2110.03427"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-and-transferable-iiot-sensor-based-anomaly-classification-using-artificial-intelligence-2110.03440</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-and-transferable-iiot-sensor-based-anomaly-classification-using-artificial-intelligence-2110.03440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-and-transferable-iiot-sensor-based-anomaly-classification-using-artificial-intelligence-2110.03440"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-neural-network-architectures-for-data-driven-reduced-order-modeling-2110.03442</loc><lastmod>2022-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-neural-network-architectures-for-data-driven-reduced-order-modeling-2110.03442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-neural-network-architectures-for-data-driven-reduced-order-modeling-2110.03442"/></url>
<url><loc>https://scifaro.com/en/abs/multi-head-relu-implicit-neural-representation-networks-2110.03448</loc><lastmod>2022-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-head-relu-implicit-neural-representation-networks-2110.03448"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-head-relu-implicit-neural-representation-networks-2110.03448"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-and-private-federated-learning-with-partially-trainable-networks-2110.03450</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-and-private-federated-learning-with-partially-trainable-networks-2110.03450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-and-private-federated-learning-with-partially-trainable-networks-2110.03450"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-multigraph-integrator-network-for-predicting-the-evolution-of-population-driven-brain-connectivity-templates-2110.03453</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-multigraph-integrator-network-for-predicting-the-evolution-of-population-driven-brain-connectivity-templates-2110.03453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-multigraph-integrator-network-for-predicting-the-evolution-of-population-driven-brain-connectivity-templates-2110.03453"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-from-small-datasets-2110.03469</loc><lastmod>2023-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-from-small-datasets-2110.03469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-from-small-datasets-2110.03469"/></url>
<url><loc>https://scifaro.com/en/abs/creating-training-sets-via-weak-indirect-supervision-2110.03484</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/creating-training-sets-via-weak-indirect-supervision-2110.03484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/creating-training-sets-via-weak-indirect-supervision-2110.03484"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-relationship-between-disentanglement-and-multi-task-learning-2110.03498</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-relationship-between-disentanglement-and-multi-task-learning-2110.03498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-relationship-between-disentanglement-and-multi-task-learning-2110.03498"/></url>
<url><loc>https://scifaro.com/en/abs/use-of-deterministic-transforms-to-design-weight-matrices-of-a-neural-network-2110.03515</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/use-of-deterministic-transforms-to-design-weight-matrices-of-a-neural-network-2110.03515"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/use-of-deterministic-transforms-to-design-weight-matrices-of-a-neural-network-2110.03515"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-based-black-box-optimization-method-for-costly-molecular-properties-2110.03522</loc><lastmod>2025-05-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-based-black-box-optimization-method-for-costly-molecular-properties-2110.03522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-based-black-box-optimization-method-for-costly-molecular-properties-2110.03522"/></url>
<url><loc>https://scifaro.com/en/abs/a-broad-ensemble-learning-system-for-drifting-stream-classification-2110.03540</loc><lastmod>2023-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-broad-ensemble-learning-system-for-drifting-stream-classification-2110.03540"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-broad-ensemble-learning-system-for-drifting-stream-classification-2110.03540"/></url>
<url><loc>https://scifaro.com/en/abs/bias-variance-tradeoffs-in-single-sample-binary-gradient-estimators-2110.03549</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bias-variance-tradeoffs-in-single-sample-binary-gradient-estimators-2110.03549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bias-variance-tradeoffs-in-single-sample-binary-gradient-estimators-2110.03549"/></url>
<url><loc>https://scifaro.com/en/abs/training-stable-graph-neural-networks-through-constrained-learning-2110.03576</loc><lastmod>2022-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-stable-graph-neural-networks-through-constrained-learning-2110.03576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-stable-graph-neural-networks-through-constrained-learning-2110.03576"/></url>
<url><loc>https://scifaro.com/en/abs/a-model-selection-approach-for-corruption-robust-reinforcement-learning-2110.03580</loc><lastmod>2024-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-model-selection-approach-for-corruption-robust-reinforcement-learning-2110.03580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-model-selection-approach-for-corruption-robust-reinforcement-learning-2110.03580"/></url>
<url><loc>https://scifaro.com/en/abs/to-charge-or-to-sell-ev-pack-useful-life-estimation-via-lstms-cnns-and-autoencoders-2110.03585</loc><lastmod>2024-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-charge-or-to-sell-ev-pack-useful-life-estimation-via-lstms-cnns-and-autoencoders-2110.03585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-charge-or-to-sell-ev-pack-useful-life-estimation-via-lstms-cnns-and-autoencoders-2110.03585"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-in-deep-rl-for-tsp-problems-via-equivariance-and-local-search-2110.03595</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-in-deep-rl-for-tsp-problems-via-equivariance-and-local-search-2110.03595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-in-deep-rl-for-tsp-problems-via-equivariance-and-local-search-2110.03595"/></url>
<url><loc>https://scifaro.com/en/abs/online-markov-decision-processes-with-non-oblivious-strategic-adversary-2110.03604</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-markov-decision-processes-with-non-oblivious-strategic-adversary-2110.03604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-markov-decision-processes-with-non-oblivious-strategic-adversary-2110.03604"/></url>
<url><loc>https://scifaro.com/en/abs/robust-feature-level-adversaries-are-interpretability-tools-2110.03605</loc><lastmod>2023-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-feature-level-adversaries-are-interpretability-tools-2110.03605"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-feature-level-adversaries-are-interpretability-tools-2110.03605"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-sense-the-world-leveraging-hierarchy-in-multimodal-perception-for-robust-reinforcement-learning-agents-2110.03608</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-sense-the-world-leveraging-hierarchy-in-multimodal-perception-for-robust-reinforcement-learning-agents-2110.03608"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-sense-the-world-leveraging-hierarchy-in-multimodal-perception-for-robust-reinforcement-learning-agents-2110.03608"/></url>
<url><loc>https://scifaro.com/en/abs/hyperparameter-tuning-with-renyi-differential-privacy-2110.03620</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperparameter-tuning-with-renyi-differential-privacy-2110.03620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperparameter-tuning-with-renyi-differential-privacy-2110.03620"/></url>
<url><loc>https://scifaro.com/en/abs/boxhead-a-dataset-for-learning-hierarchical-representations-2110.03628</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boxhead-a-dataset-for-learning-hierarchical-representations-2110.03628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boxhead-a-dataset-for-learning-hierarchical-representations-2110.03628"/></url>
<url><loc>https://scifaro.com/en/abs/enabling-on-device-training-of-speech-recognition-models-with-federated-dropout-2110.03634</loc><lastmod>2021-10-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enabling-on-device-training-of-speech-recognition-models-with-federated-dropout-2110.03634"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enabling-on-device-training-of-speech-recognition-models-with-federated-dropout-2110.03634"/></url>
<url><loc>https://scifaro.com/en/abs/augmenting-reinforcement-learning-with-behavior-primitives-for-diverse-manipulation-tasks-2110.03655</loc><lastmod>2022-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmenting-reinforcement-learning-with-behavior-primitives-for-diverse-manipulation-tasks-2110.03655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmenting-reinforcement-learning-with-behavior-primitives-for-diverse-manipulation-tasks-2110.03655"/></url>
<url><loc>https://scifaro.com/en/abs/transform2act-learning-a-transform-and-control-policy-for-efficient-agent-design-2110.03659</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transform2act-learning-a-transform-and-control-policy-for-efficient-agent-design-2110.03659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transform2act-learning-a-transform-and-control-policy-for-efficient-agent-design-2110.03659"/></url>
<url><loc>https://scifaro.com/en/abs/large-learning-rate-tames-homogeneity-convergence-and-balancing-effect-2110.03677</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-learning-rate-tames-homogeneity-convergence-and-balancing-effect-2110.03677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-learning-rate-tames-homogeneity-convergence-and-balancing-effect-2110.03677"/></url>
<url><loc>https://scifaro.com/en/abs/neural-tangent-kernel-empowered-federated-learning-2110.03681</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-tangent-kernel-empowered-federated-learning-2110.03681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-tangent-kernel-empowered-federated-learning-2110.03681"/></url>
<url><loc>https://scifaro.com/en/abs/cross-domain-imitation-learning-via-optimal-transport-2110.03684</loc><lastmod>2026-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-domain-imitation-learning-via-optimal-transport-2110.03684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-domain-imitation-learning-via-optimal-transport-2110.03684"/></url>
<url><loc>https://scifaro.com/en/abs/a-meta-learning-approach-to-reservoir-computing-time-series-prediction-with-limited-data-2110.03722</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-meta-learning-approach-to-reservoir-computing-time-series-prediction-with-limited-data-2110.03722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-meta-learning-approach-to-reservoir-computing-time-series-prediction-with-limited-data-2110.03722"/></url>
<url><loc>https://scifaro.com/en/abs/bisimulations-for-neural-network-reduction-2110.03726</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bisimulations-for-neural-network-reduction-2110.03726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bisimulations-for-neural-network-reduction-2110.03726"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-unlearning-of-backdoors-via-implicit-hypergradient-2110.03735</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-unlearning-of-backdoors-via-implicit-hypergradient-2110.03735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-unlearning-of-backdoors-via-implicit-hypergradient-2110.03735"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-in-reward-mixing-mdps-2110.03743</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-in-reward-mixing-mdps-2110.03743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-in-reward-mixing-mdps-2110.03743"/></url>
<url><loc>https://scifaro.com/en/abs/from-stars-to-subgraphs-uplifting-any-gnn-with-local-structure-awareness-2110.03753</loc><lastmod>2022-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-stars-to-subgraphs-uplifting-any-gnn-with-local-structure-awareness-2110.03753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-stars-to-subgraphs-uplifting-any-gnn-with-local-structure-awareness-2110.03753"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-maintenance-for-general-aviation-using-convolutional-transformers-2110.03757</loc><lastmod>2022-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-maintenance-for-general-aviation-using-convolutional-transformers-2110.03757"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-maintenance-for-general-aviation-using-convolutional-transformers-2110.03757"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-equivariant-machine-learning-method-for-dynamics-based-on-scalars-2110.03761</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-equivariant-machine-learning-method-for-dynamics-based-on-scalars-2110.03761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-equivariant-machine-learning-method-for-dynamics-based-on-scalars-2110.03761"/></url>
<url><loc>https://scifaro.com/en/abs/label-propagation-across-graphs-node-classification-using-graph-neural-tangent-kernels-2110.03763</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-propagation-across-graphs-node-classification-using-graph-neural-tangent-kernels-2110.03763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-propagation-across-graphs-node-classification-using-graph-neural-tangent-kernels-2110.03763"/></url>
<url><loc>https://scifaro.com/en/abs/spectroscopy-approaches-for-food-safety-applications-improving-data-efficiency-using-active-learning-and-semi-supervised-learning-2110.03765</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectroscopy-approaches-for-food-safety-applications-improving-data-efficiency-using-active-learning-and-semi-supervised-learning-2110.03765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectroscopy-approaches-for-food-safety-applications-improving-data-efficiency-using-active-learning-and-semi-supervised-learning-2110.03765"/></url>
<url><loc>https://scifaro.com/en/abs/a-composable-autoencoder-based-iterative-algorithm-for-accelerating-numerical-simulations-2110.03780</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-composable-autoencoder-based-iterative-algorithm-for-accelerating-numerical-simulations-2110.03780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-composable-autoencoder-based-iterative-algorithm-for-accelerating-numerical-simulations-2110.03780"/></url>
<url><loc>https://scifaro.com/en/abs/5g-traffic-prediction-with-time-series-analysis-2110.03781</loc><lastmod>2025-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/5g-traffic-prediction-with-time-series-analysis-2110.03781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/5g-traffic-prediction-with-time-series-analysis-2110.03781"/></url>
<url><loc>https://scifaro.com/en/abs/addressing-practical-challenges-in-active-learning-via-a-hybrid-query-strategy-2110.03785</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addressing-practical-challenges-in-active-learning-via-a-hybrid-query-strategy-2110.03785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addressing-practical-challenges-in-active-learning-via-a-hybrid-query-strategy-2110.03785"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-sheaves-a-sheaf-theoretic-framework-for-knowledge-graph-embedding-2110.03789</loc><lastmod>2023-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-sheaves-a-sheaf-theoretic-framework-for-knowledge-graph-embedding-2110.03789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-sheaves-a-sheaf-theoretic-framework-for-knowledge-graph-embedding-2110.03789"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-bayesian-optimization-with-game-theory-2110.03790</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-bayesian-optimization-with-game-theory-2110.03790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-bayesian-optimization-with-game-theory-2110.03790"/></url>
<url><loc>https://scifaro.com/en/abs/ccgg-a-deep-autoregressive-model-for-class-conditional-graph-generation-2110.03800</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ccgg-a-deep-autoregressive-model-for-class-conditional-graph-generation-2110.03800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ccgg-a-deep-autoregressive-model-for-class-conditional-graph-generation-2110.03800"/></url>
<url><loc>https://scifaro.com/en/abs/hitting-the-target-stopping-active-learning-at-the-cost-based-optimum-2110.03802</loc><lastmod>2023-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hitting-the-target-stopping-active-learning-at-the-cost-based-optimum-2110.03802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hitting-the-target-stopping-active-learning-at-the-cost-based-optimum-2110.03802"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-architectural-ingredients-of-adversarially-robust-deep-neural-networks-2110.03825</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-architectural-ingredients-of-adversarially-robust-deep-neural-networks-2110.03825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-architectural-ingredients-of-adversarially-robust-deep-neural-networks-2110.03825"/></url>
<url><loc>https://scifaro.com/en/abs/speeding-up-deep-model-training-by-sharing-weights-and-then-unsharing-2110.03848</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speeding-up-deep-model-training-by-sharing-weights-and-then-unsharing-2110.03848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speeding-up-deep-model-training-by-sharing-weights-and-then-unsharing-2110.03848"/></url>
<url><loc>https://scifaro.com/en/abs/stable-prediction-on-graphs-with-agnostic-distribution-shift-2110.03865</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-prediction-on-graphs-with-agnostic-distribution-shift-2110.03865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-prediction-on-graphs-with-agnostic-distribution-shift-2110.03865"/></url>
<url><loc>https://scifaro.com/en/abs/modernn-harnessing-spatiotemporal-mode-collapse-in-unsupervised-predictive-learning-2110.03882</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modernn-harnessing-spatiotemporal-mode-collapse-in-unsupervised-predictive-learning-2110.03882"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modernn-harnessing-spatiotemporal-mode-collapse-in-unsupervised-predictive-learning-2110.03882"/></url>
<url><loc>https://scifaro.com/en/abs/m6-10t-a-sharing-delinking-paradigm-for-efficient-multi-trillion-parameter-pretraining-2110.03888</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/m6-10t-a-sharing-delinking-paradigm-for-efficient-multi-trillion-parameter-pretraining-2110.03888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/m6-10t-a-sharing-delinking-paradigm-for-efficient-multi-trillion-parameter-pretraining-2110.03888"/></url>
<url><loc>https://scifaro.com/en/abs/does-momentum-change-the-implicit-regularization-on-separable-data-2110.03891</loc><lastmod>2022-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-momentum-change-the-implicit-regularization-on-separable-data-2110.03891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-momentum-change-the-implicit-regularization-on-separable-data-2110.03891"/></url>
<url><loc>https://scifaro.com/en/abs/kinematically-consistent-recurrent-neural-networks-for-learning-inverse-problems-in-wave-propagation-2110.03903</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kinematically-consistent-recurrent-neural-networks-for-learning-inverse-problems-in-wave-propagation-2110.03903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kinematically-consistent-recurrent-neural-networks-for-learning-inverse-problems-in-wave-propagation-2110.03903"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-with-task-adaptive-loss-function-for-few-shot-learning-2110.03909</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-with-task-adaptive-loss-function-for-few-shot-learning-2110.03909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-with-task-adaptive-loss-function-for-few-shot-learning-2110.03909"/></url>
<url><loc>https://scifaro.com/en/abs/the-eigenlearning-framework-a-conservation-law-perspective-on-kernel-regression-and-wide-neural-networks-2110.03922</loc><lastmod>2023-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-eigenlearning-framework-a-conservation-law-perspective-on-kernel-regression-and-wide-neural-networks-2110.03922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-eigenlearning-framework-a-conservation-law-perspective-on-kernel-regression-and-wide-neural-networks-2110.03922"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-in-beehives-an-algorithm-comparison-2110.03945</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-in-beehives-an-algorithm-comparison-2110.03945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-in-beehives-an-algorithm-comparison-2110.03945"/></url>
<url><loc>https://scifaro.com/en/abs/mixability-made-efficient-fast-online-multiclass-logistic-regression-2110.03960</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixability-made-efficient-fast-online-multiclass-logistic-regression-2110.03960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixability-made-efficient-fast-online-multiclass-logistic-regression-2110.03960"/></url>
<url><loc>https://scifaro.com/en/abs/combining-differential-privacy-and-byzantine-resilience-in-distributed-sgd-2110.03991</loc><lastmod>2023-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-differential-privacy-and-byzantine-resilience-in-distributed-sgd-2110.03991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-differential-privacy-and-byzantine-resilience-in-distributed-sgd-2110.03991"/></url>
<url><loc>https://scifaro.com/en/abs/graphs-as-tools-to-improve-deep-learning-methods-2110.03999</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphs-as-tools-to-improve-deep-learning-methods-2110.03999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphs-as-tools-to-improve-deep-learning-methods-2110.03999"/></url>
<url><loc>https://scifaro.com/en/abs/pathologies-in-priors-and-inference-for-bayesian-transformers-2110.04020</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pathologies-in-priors-and-inference-for-bayesian-transformers-2110.04020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pathologies-in-priors-and-inference-for-bayesian-transformers-2110.04020"/></url>
<url><loc>https://scifaro.com/en/abs/learning-sparse-graphs-with-a-core-periphery-structure-2110.04022</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-sparse-graphs-with-a-core-periphery-structure-2110.04022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-sparse-graphs-with-a-core-periphery-structure-2110.04022"/></url>
<url><loc>https://scifaro.com/en/abs/traffic-flow-forecasting-with-spatial-temporal-graph-diffusion-network-2110.04038</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/traffic-flow-forecasting-with-spatial-temporal-graph-diffusion-network-2110.04038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/traffic-flow-forecasting-with-spatial-temporal-graph-diffusion-network-2110.04038"/></url>
<url><loc>https://scifaro.com/en/abs/minimal-configuration-anomaly-detection-for-iiot-sensors-2110.04049</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimal-configuration-anomaly-detection-for-iiot-sensors-2110.04049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimal-configuration-anomaly-detection-for-iiot-sensors-2110.04049"/></url>
<url><loc>https://scifaro.com/en/abs/new-insights-into-graph-convolutional-networks-using-neural-tangent-kernels-2110.04060</loc><lastmod>2023-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-insights-into-graph-convolutional-networks-using-neural-tangent-kernels-2110.04060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-insights-into-graph-convolutional-networks-using-neural-tangent-kernels-2110.04060"/></url>
<url><loc>https://scifaro.com/en/abs/topology-imbalance-learning-for-semi-supervised-node-classification-2110.04099</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topology-imbalance-learning-for-semi-supervised-node-classification-2110.04099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topology-imbalance-learning-for-semi-supervised-node-classification-2110.04099"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-adversaries-in-crowdsourcing-2110.04117</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-adversaries-in-crowdsourcing-2110.04117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-adversaries-in-crowdsourcing-2110.04117"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-limitations-of-multimodal-vaes-2110.04121</loc><lastmod>2022-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-limitations-of-multimodal-vaes-2110.04121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-limitations-of-multimodal-vaes-2110.04121"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-neural-representation-networks-2110.04124</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-neural-representation-networks-2110.04124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-neural-representation-networks-2110.04124"/></url>
<url><loc>https://scifaro.com/en/abs/3d-infomax-improves-gnns-for-molecular-property-prediction-2110.04126</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/3d-infomax-improves-gnns-for-molecular-property-prediction-2110.04126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/3d-infomax-improves-gnns-for-molecular-property-prediction-2110.04126"/></url>
<url><loc>https://scifaro.com/en/abs/deep-upper-confidence-bound-algorithm-for-contextual-bandit-ranking-of-information-selection-2110.04127</loc><lastmod>2022-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-upper-confidence-bound-algorithm-for-contextual-bandit-ranking-of-information-selection-2110.04127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-upper-confidence-bound-algorithm-for-contextual-bandit-ranking-of-information-selection-2110.04127"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-design-choices-in-offline-model-based-reinforcement-learning-2110.04135</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-design-choices-in-offline-model-based-reinforcement-learning-2110.04135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-design-choices-in-offline-model-based-reinforcement-learning-2110.04135"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-sampling-for-heterogeneous-rank-aggregation-from-noisy-pairwise-comparisons-2110.04136</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-sampling-for-heterogeneous-rank-aggregation-from-noisy-pairwise-comparisons-2110.04136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-sampling-for-heterogeneous-rank-aggregation-from-noisy-pairwise-comparisons-2110.04136"/></url>
<url><loc>https://scifaro.com/en/abs/arachnophobia-exposure-therapy-using-experience-driven-procedural-content-generation-via-reinforcement-learning-edpcgrl-2110.04146</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arachnophobia-exposure-therapy-using-experience-driven-procedural-content-generation-via-reinforcement-learning-edpcgrl-2110.04146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arachnophobia-exposure-therapy-using-experience-driven-procedural-content-generation-via-reinforcement-learning-edpcgrl-2110.04146"/></url>
<url><loc>https://scifaro.com/en/abs/showing-your-offline-reinforcement-learning-work-online-evaluation-budget-matters-2110.04156</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/showing-your-offline-reinforcement-learning-work-online-evaluation-budget-matters-2110.04156"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/showing-your-offline-reinforcement-learning-work-online-evaluation-budget-matters-2110.04156"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-for-big-data-a-survey-on-opportunities-applications-and-future-directions-2110.04160</loc><lastmod>2025-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-for-big-data-a-survey-on-opportunities-applications-and-future-directions-2110.04160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-for-big-data-a-survey-on-opportunities-applications-and-future-directions-2110.04160"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-decoding-for-compositional-generalization-in-transformers-2110.04169</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-decoding-for-compositional-generalization-in-transformers-2110.04169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-decoding-for-compositional-generalization-in-transformers-2110.04169"/></url>
<url><loc>https://scifaro.com/en/abs/topodetect-framework-for-topological-features-detection-in-graph-embeddings-2110.04173</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topodetect-framework-for-topological-features-detection-in-graph-embeddings-2110.04173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topodetect-framework-for-topological-features-detection-in-graph-embeddings-2110.04173"/></url>
<url><loc>https://scifaro.com/en/abs/relaysum-for-decentralized-deep-learning-on-heterogeneous-data-2110.04175</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relaysum-for-decentralized-deep-learning-on-heterogeneous-data-2110.04175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relaysum-for-decentralized-deep-learning-on-heterogeneous-data-2110.04175"/></url>
<url><loc>https://scifaro.com/en/abs/phnns-lightweight-neural-networks-via-parameterized-hypercomplex-convolutions-2110.04176</loc><lastmod>2022-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phnns-lightweight-neural-networks-via-parameterized-hypercomplex-convolutions-2110.04176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phnns-lightweight-neural-networks-via-parameterized-hypercomplex-convolutions-2110.04176"/></url>
<url><loc>https://scifaro.com/en/abs/dataset-condensation-with-distribution-matching-2110.04181</loc><lastmod>2022-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dataset-condensation-with-distribution-matching-2110.04181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dataset-condensation-with-distribution-matching-2110.04181"/></url>
<url><loc>https://scifaro.com/en/abs/when-can-we-learn-general-sum-markov-games-with-a-large-number-of-players-sample-efficiently-2110.04184</loc><lastmod>2022-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-can-we-learn-general-sum-markov-games-with-a-large-number-of-players-sample-efficiently-2110.04184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-can-we-learn-general-sum-markov-games-with-a-large-number-of-players-sample-efficiently-2110.04184"/></url>
<url><loc>https://scifaro.com/en/abs/medical-dead-ends-and-learning-to-identify-high-risk-states-and-treatments-2110.04186</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/medical-dead-ends-and-learning-to-identify-high-risk-states-and-treatments-2110.04186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/medical-dead-ends-and-learning-to-identify-high-risk-states-and-treatments-2110.04186"/></url>
<url><loc>https://scifaro.com/en/abs/universal-joint-approximation-of-manifolds-and-densities-by-simple-injective-flows-2110.04227</loc><lastmod>2022-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-joint-approximation-of-manifolds-and-densities-by-simple-injective-flows-2110.04227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-joint-approximation-of-manifolds-and-densities-by-simple-injective-flows-2110.04227"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-graph-embedding-techniques-in-estimated-time-of-arrival-task-2110.04228</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-graph-embedding-techniques-in-estimated-time-of-arrival-task-2110.04228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-graph-embedding-techniques-in-estimated-time-of-arrival-task-2110.04228"/></url>
<url><loc>https://scifaro.com/en/abs/lcs-learning-compressible-subspaces-for-adaptive-network-compression-at-inference-time-2110.04252</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lcs-learning-compressible-subspaces-for-adaptive-network-compression-at-inference-time-2110.04252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lcs-learning-compressible-subspaces-for-adaptive-network-compression-at-inference-time-2110.04252"/></url>
<url><loc>https://scifaro.com/en/abs/assessment-of-neural-networks-for-stream-water-temperature-prediction-2110.04254</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessment-of-neural-networks-for-stream-water-temperature-prediction-2110.04254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessment-of-neural-networks-for-stream-water-temperature-prediction-2110.04254"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-heterogeneous-characteristics-of-layers-in-asr-models-for-more-efficient-training-2110.04267</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-heterogeneous-characteristics-of-layers-in-asr-models-for-more-efficient-training-2110.04267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-heterogeneous-characteristics-of-layers-in-asr-models-for-more-efficient-training-2110.04267"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-interpolation-as-a-bayes-point-machine-2110.04274</loc><lastmod>2022-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-interpolation-as-a-bayes-point-machine-2110.04274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-interpolation-as-a-bayes-point-machine-2110.04274"/></url>
<url><loc>https://scifaro.com/en/abs/pyxis-an-open-source-performance-dataset-of-sparse-accelerators-2110.04280</loc><lastmod>2022-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pyxis-an-open-source-performance-dataset-of-sparse-accelerators-2110.04280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pyxis-an-open-source-performance-dataset-of-sparse-accelerators-2110.04280"/></url>
<url><loc>https://scifaro.com/en/abs/is-mc-dropout-bayesian-2110.04286</loc><lastmod>2021-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-mc-dropout-bayesian-2110.04286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-mc-dropout-bayesian-2110.04286"/></url>
<url><loc>https://scifaro.com/en/abs/salient-imagenet-how-to-discover-spurious-features-in-deep-learning-2110.04301</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/salient-imagenet-how-to-discover-spurious-features-in-deep-learning-2110.04301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/salient-imagenet-how-to-discover-spurious-features-in-deep-learning-2110.04301"/></url>
<url><loc>https://scifaro.com/en/abs/distinguishing-rule-and-exemplar-based-generalization-in-learning-systems-2110.04328</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distinguishing-rule-and-exemplar-based-generalization-in-learning-systems-2110.04328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distinguishing-rule-and-exemplar-based-generalization-in-learning-systems-2110.04328"/></url>
<url><loc>https://scifaro.com/en/abs/frl-federated-rank-learning-2110.04350</loc><lastmod>2022-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frl-federated-rank-learning-2110.04350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frl-federated-rank-learning-2110.04350"/></url>
<url><loc>https://scifaro.com/en/abs/hankel-structured-tensor-robust-pca-for-multivariate-traffic-time-series-anomaly-detection-2110.04352</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hankel-structured-tensor-robust-pca-for-multivariate-traffic-time-series-anomaly-detection-2110.04352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hankel-structured-tensor-robust-pca-for-multivariate-traffic-time-series-anomaly-detection-2110.04352"/></url>
<url><loc>https://scifaro.com/en/abs/training-transition-policies-via-distribution-matching-for-complex-tasks-2110.04357</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-transition-policies-via-distribution-matching-for-complex-tasks-2110.04357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-transition-policies-via-distribution-matching-for-complex-tasks-2110.04357"/></url>
<url><loc>https://scifaro.com/en/abs/subtab-subsetting-features-of-tabular-data-for-self-supervised-representation-learning-2110.04361</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subtab-subsetting-features-of-tabular-data-for-self-supervised-representation-learning-2110.04361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subtab-subsetting-features-of-tabular-data-for-self-supervised-representation-learning-2110.04361"/></url>
<url><loc>https://scifaro.com/en/abs/certifying-robustness-to-programmable-data-bias-in-decision-trees-2110.04363</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certifying-robustness-to-programmable-data-bias-in-decision-trees-2110.04363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certifying-robustness-to-programmable-data-bias-in-decision-trees-2110.04363"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-random-features-2110.04367</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-random-features-2110.04367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-random-features-2110.04367"/></url>
<url><loc>https://scifaro.com/en/abs/a-loss-curvature-perspective-on-training-instability-in-deep-learning-2110.04369</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-loss-curvature-perspective-on-training-instability-in-deep-learning-2110.04369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-loss-curvature-perspective-on-training-instability-in-deep-learning-2110.04369"/></url>
<url><loc>https://scifaro.com/en/abs/fair-regression-under-sample-selection-bias-2110.04372</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-regression-under-sample-selection-bias-2110.04372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-regression-under-sample-selection-bias-2110.04372"/></url>
<url><loc>https://scifaro.com/en/abs/neural-link-prediction-with-walk-pooling-2110.04375</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-link-prediction-with-walk-pooling-2110.04375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-link-prediction-with-walk-pooling-2110.04375"/></url>
<url><loc>https://scifaro.com/en/abs/learning-3d-representations-of-molecular-chirality-with-invariance-to-bond-rotations-2110.04383</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-3d-representations-of-molecular-chirality-with-invariance-to-bond-rotations-2110.04383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-3d-representations-of-molecular-chirality-with-invariance-to-bond-rotations-2110.04383"/></url>
<url><loc>https://scifaro.com/en/abs/measure-twice-cut-once-quantifying-bias-and-fairness-in-deep-neural-networks-2110.04397</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measure-twice-cut-once-quantifying-bias-and-fairness-in-deep-neural-networks-2110.04397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measure-twice-cut-once-quantifying-bias-and-fairness-in-deep-neural-networks-2110.04397"/></url>
<url><loc>https://scifaro.com/en/abs/temperature-as-uncertainty-in-contrastive-learning-2110.04403</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temperature-as-uncertainty-in-contrastive-learning-2110.04403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temperature-as-uncertainty-in-contrastive-learning-2110.04403"/></url>
<url><loc>https://scifaro.com/en/abs/gated-recurrent-units-and-temporal-convolutional-network-for-multilabel-classification-2110.04414</loc><lastmod>2022-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gated-recurrent-units-and-temporal-convolutional-network-for-multilabel-classification-2110.04414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gated-recurrent-units-and-temporal-convolutional-network-for-multilabel-classification-2110.04414"/></url>
<url><loc>https://scifaro.com/en/abs/theoretically-principled-deep-rl-acceleration-via-nearest-neighbor-function-approximation-2110.04422</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretically-principled-deep-rl-acceleration-via-nearest-neighbor-function-approximation-2110.04422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretically-principled-deep-rl-acceleration-via-nearest-neighbor-function-approximation-2110.04422"/></url>
<url><loc>https://scifaro.com/en/abs/a-primer-on-deep-learning-for-causal-inference-2110.04442</loc><lastmod>2023-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-primer-on-deep-learning-for-causal-inference-2110.04442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-primer-on-deep-learning-for-causal-inference-2110.04442"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-black-box-action-poisoning-attacks-against-reinforcement-learning-2110.04471</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-black-box-action-poisoning-attacks-against-reinforcement-learning-2110.04471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-black-box-action-poisoning-attacks-against-reinforcement-learning-2110.04471"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-mdp-homomorphic-networks-2110.04495</loc><lastmod>2022-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-mdp-homomorphic-networks-2110.04495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-mdp-homomorphic-networks-2110.04495"/></url>
<url><loc>https://scifaro.com/en/abs/ensemblentldetect-an-intelligent-framework-for-electricity-theft-detection-in-smart-grid-2110.04502</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemblentldetect-an-intelligent-framework-for-electricity-theft-detection-in-smart-grid-2110.04502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemblentldetect-an-intelligent-framework-for-electricity-theft-detection-in-smart-grid-2110.04502"/></url>
<url><loc>https://scifaro.com/en/abs/multi-relation-aware-temporal-interaction-network-embedding-2110.04503</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-relation-aware-temporal-interaction-network-embedding-2110.04503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-relation-aware-temporal-interaction-network-embedding-2110.04503"/></url>
<url><loc>https://scifaro.com/en/abs/towards-open-world-feature-extrapolation-an-inductive-graph-learning-approach-2110.04514</loc><lastmod>2023-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-open-world-feature-extrapolation-an-inductive-graph-learning-approach-2110.04514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-open-world-feature-extrapolation-an-inductive-graph-learning-approach-2110.04514"/></url>
<url><loc>https://scifaro.com/en/abs/pairwise-margin-maximization-for-deep-neural-networks-2110.04519</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pairwise-margin-maximization-for-deep-neural-networks-2110.04519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pairwise-margin-maximization-for-deep-neural-networks-2110.04519"/></url>
<url><loc>https://scifaro.com/en/abs/towards-data-free-domain-generalization-2110.04545</loc><lastmod>2022-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-data-free-domain-generalization-2110.04545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-data-free-domain-generalization-2110.04545"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-in-real-time-fraud-detection-with-lambda-architecture-2110.04559</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-in-real-time-fraud-detection-with-lambda-architecture-2110.04559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-in-real-time-fraud-detection-with-lambda-architecture-2110.04559"/></url>
<url><loc>https://scifaro.com/en/abs/widen-the-backdoor-to-let-more-attackers-in-2110.04571</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/widen-the-backdoor-to-let-more-attackers-in-2110.04571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/widen-the-backdoor-to-let-more-attackers-in-2110.04571"/></url>
<url><loc>https://scifaro.com/en/abs/x-model-improving-data-efficiency-in-deep-learning-with-a-minimax-model-2110.04572</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/x-model-improving-data-efficiency-in-deep-learning-with-a-minimax-model-2110.04572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/x-model-improving-data-efficiency-in-deep-learning-with-a-minimax-model-2110.04572"/></url>
<url><loc>https://scifaro.com/en/abs/flattening-sharpness-for-dynamic-gradient-projection-memory-benefits-continual-learning-2110.04593</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flattening-sharpness-for-dynamic-gradient-projection-memory-benefits-continual-learning-2110.04593"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flattening-sharpness-for-dynamic-gradient-projection-memory-benefits-continual-learning-2110.04593"/></url>
<url><loc>https://scifaro.com/en/abs/a-proximal-algorithm-for-sampling-from-non-smooth-potentials-2110.04597</loc><lastmod>2022-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-proximal-algorithm-for-sampling-from-non-smooth-potentials-2110.04597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-proximal-algorithm-for-sampling-from-non-smooth-potentials-2110.04597"/></url>
<url><loc>https://scifaro.com/en/abs/self-explaining-neural-network-with-concept-based-explanations-for-icu-mortality-prediction-2110.04598</loc><lastmod>2026-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-explaining-neural-network-with-concept-based-explanations-for-icu-mortality-prediction-2110.04598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-explaining-neural-network-with-concept-based-explanations-for-icu-mortality-prediction-2110.04598"/></url>
<url><loc>https://scifaro.com/en/abs/embed-everything-a-method-for-efficiently-co-embedding-multi-modal-spaces-2110.04599</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embed-everything-a-method-for-efficiently-co-embedding-multi-modal-spaces-2110.04599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embed-everything-a-method-for-efficiently-co-embedding-multi-modal-spaces-2110.04599"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-physics-based-machine-learning-in-civil-engineering-2110.04600</loc><lastmod>2024-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-physics-based-machine-learning-in-civil-engineering-2110.04600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-physics-based-machine-learning-in-civil-engineering-2110.04600"/></url>
<url><loc>https://scifaro.com/en/abs/discriminative-multimodal-learning-via-conditional-priors-in-generative-models-2110.04616</loc><lastmod>2023-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discriminative-multimodal-learning-via-conditional-priors-in-generative-models-2110.04616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discriminative-multimodal-learning-via-conditional-priors-in-generative-models-2110.04616"/></url>
<url><loc>https://scifaro.com/en/abs/does-preprocessing-help-training-over-parameterized-neural-networks-2110.04622</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-preprocessing-help-training-over-parameterized-neural-networks-2110.04622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-preprocessing-help-training-over-parameterized-neural-networks-2110.04622"/></url>
<url><loc>https://scifaro.com/en/abs/the-neural-testbed-evaluating-joint-predictions-2110.04629</loc><lastmod>2022-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-neural-testbed-evaluating-joint-predictions-2110.04629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-neural-testbed-evaluating-joint-predictions-2110.04629"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-on-the-edge-cost-efficiency-and-theoretical-optimality-2110.04639</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-on-the-edge-cost-efficiency-and-theoretical-optimality-2110.04639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-on-the-edge-cost-efficiency-and-theoretical-optimality-2110.04639"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-the-sample-complexity-barrier-to-regret-optimal-model-free-reinforcement-learning-2110.04645</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-the-sample-complexity-barrier-to-regret-optimal-model-free-reinforcement-learning-2110.04645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-the-sample-complexity-barrier-to-regret-optimal-model-free-reinforcement-learning-2110.04645"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-follow-language-instructions-with-compositional-policies-2110.04647</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-follow-language-instructions-with-compositional-policies-2110.04647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-follow-language-instructions-with-compositional-policies-2110.04647"/></url>
<url><loc>https://scifaro.com/en/abs/representation-learning-for-online-and-offline-rl-in-low-rank-mdps-2110.04652</loc><lastmod>2022-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-learning-for-online-and-offline-rl-in-low-rank-mdps-2110.04652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-learning-for-online-and-offline-rl-in-low-rank-mdps-2110.04652"/></url>
<url><loc>https://scifaro.com/en/abs/cognitively-inspired-learning-of-incremental-drifting-concepts-2110.04662</loc><lastmod>2023-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cognitively-inspired-learning-of-incremental-drifting-concepts-2110.04662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cognitively-inspired-learning-of-incremental-drifting-concepts-2110.04662"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-model-auto-encoders-deep-clustering-through-dictionary-learning-2110.04683</loc><lastmod>2022-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-model-auto-encoders-deep-clustering-through-dictionary-learning-2110.04683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-model-auto-encoders-deep-clustering-through-dictionary-learning-2110.04683"/></url>
<url><loc>https://scifaro.com/en/abs/braxlines-fast-and-interactive-toolkit-for-rl-driven-behavior-engineering-beyond-reward-maximization-2110.04686</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/braxlines-fast-and-interactive-toolkit-for-rl-driven-behavior-engineering-beyond-reward-maximization-2110.04686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/braxlines-fast-and-interactive-toolkit-for-rl-driven-behavior-engineering-beyond-reward-maximization-2110.04686"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-assisted-reference-vector-adaptation-to-various-pareto-front-shapes-for-many-objective-bayesian-optimization-2110.04689</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-assisted-reference-vector-adaptation-to-various-pareto-front-shapes-for-many-objective-bayesian-optimization-2110.04689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-assisted-reference-vector-adaptation-to-various-pareto-front-shapes-for-many-objective-bayesian-optimization-2110.04689"/></url>
<url><loc>https://scifaro.com/en/abs/a-closer-look-at-advantage-filtered-behavioral-cloning-in-high-noise-datasets-2110.04698</loc><lastmod>2023-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-closer-look-at-advantage-filtered-behavioral-cloning-in-high-noise-datasets-2110.04698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-closer-look-at-advantage-filtered-behavioral-cloning-in-high-noise-datasets-2110.04698"/></url>
<url><loc>https://scifaro.com/en/abs/supershaper-task-agnostic-super-pre-training-of-bert-models-with-variable-hidden-dimensions-2110.04711</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supershaper-task-agnostic-super-pre-training-of-bert-models-with-variable-hidden-dimensions-2110.04711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supershaper-task-agnostic-super-pre-training-of-bert-models-with-variable-hidden-dimensions-2110.04711"/></url>
<url><loc>https://scifaro.com/en/abs/structure-learning-in-polynomial-time-greedy-algorithms-bregman-information-and-exponential-families-2110.04719</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-learning-in-polynomial-time-greedy-algorithms-bregman-information-and-exponential-families-2110.04719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-learning-in-polynomial-time-greedy-algorithms-bregman-information-and-exponential-families-2110.04719"/></url>
<url><loc>https://scifaro.com/en/abs/long-expressive-memory-for-sequence-modeling-2110.04744</loc><lastmod>2022-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/long-expressive-memory-for-sequence-modeling-2110.04744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/long-expressive-memory-for-sequence-modeling-2110.04744"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-classification-using-convolutional-neural-network-on-imbalanced-datasets-2110.04748</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-classification-using-convolutional-neural-network-on-imbalanced-datasets-2110.04748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-classification-using-convolutional-neural-network-on-imbalanced-datasets-2110.04748"/></url>
<url><loc>https://scifaro.com/en/abs/fitting-large-mixture-models-using-stochastic-component-selection-2110.04776</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitting-large-mixture-models-using-stochastic-component-selection-2110.04776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitting-large-mixture-models-using-stochastic-component-selection-2110.04776"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-graph-convolutions-in-a-lightweight-model-for-skeletal-human-motion-forecasting-2110.04810</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-graph-convolutions-in-a-lightweight-model-for-skeletal-human-motion-forecasting-2110.04810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-graph-convolutions-in-a-lightweight-model-for-skeletal-human-motion-forecasting-2110.04810"/></url>
<url><loc>https://scifaro.com/en/abs/feature-imitating-networks-2110.04831</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-imitating-networks-2110.04831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-imitating-networks-2110.04831"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-in-two-player-zero-sum-simultaneous-action-games-2110.04835</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-in-two-player-zero-sum-simultaneous-action-games-2110.04835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-in-two-player-zero-sum-simultaneous-action-games-2110.04835"/></url>
<url><loc>https://scifaro.com/en/abs/heavy-ball-neural-ordinary-differential-equations-2110.04840</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heavy-ball-neural-ordinary-differential-equations-2110.04840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heavy-ball-neural-ordinary-differential-equations-2110.04840"/></url>
<url><loc>https://scifaro.com/en/abs/frequency-aware-sgd-for-efficient-embedding-learning-with-provable-benefits-2110.04844</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frequency-aware-sgd-for-efficient-embedding-learning-with-provable-benefits-2110.04844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frequency-aware-sgd-for-efficient-embedding-learning-with-provable-benefits-2110.04844"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-inference-scheme-based-on-pipelined-matrix-multiplication-acceleration-design-and-non-uniform-quantization-2110.04861</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-inference-scheme-based-on-pipelined-matrix-multiplication-acceleration-design-and-non-uniform-quantization-2110.04861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-inference-scheme-based-on-pipelined-matrix-multiplication-acceleration-design-and-non-uniform-quantization-2110.04861"/></url>
<url><loc>https://scifaro.com/en/abs/corgi-content-rich-graph-neural-networks-with-attention-2110.04866</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/corgi-content-rich-graph-neural-networks-with-attention-2110.04866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/corgi-content-rich-graph-neural-networks-with-attention-2110.04866"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-an-intermediate-representation-for-few-shot-block-wise-prediction-of-landslide-susceptibility-2110.04922</loc><lastmod>2023-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-an-intermediate-representation-for-few-shot-block-wise-prediction-of-landslide-susceptibility-2110.04922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-an-intermediate-representation-for-few-shot-block-wise-prediction-of-landslide-susceptibility-2110.04922"/></url>
<url><loc>https://scifaro.com/en/abs/crack-detection-using-tap-testing-and-machine-learning-techniques-to-prevent-potential-rockfall-incidents-2110.04923</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crack-detection-using-tap-testing-and-machine-learning-techniques-to-prevent-potential-rockfall-incidents-2110.04923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crack-detection-using-tap-testing-and-machine-learning-techniques-to-prevent-potential-rockfall-incidents-2110.04923"/></url>
<url><loc>https://scifaro.com/en/abs/learning-temporally-consistent-representations-for-data-efficient-reinforcement-learning-2110.04935</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-temporally-consistent-representations-for-data-efficient-reinforcement-learning-2110.04935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-temporally-consistent-representations-for-data-efficient-reinforcement-learning-2110.04935"/></url>
<url><loc>https://scifaro.com/en/abs/scehr-supervised-contrastive-learning-for-clinical-risk-prediction-using-electronic-health-records-2110.04943</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scehr-supervised-contrastive-learning-for-clinical-risk-prediction-using-electronic-health-records-2110.04943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scehr-supervised-contrastive-learning-for-clinical-risk-prediction-using-electronic-health-records-2110.04943"/></url>
<url><loc>https://scifaro.com/en/abs/nft-k-non-fungible-tangent-kernels-2110.04945</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nft-k-non-fungible-tangent-kernels-2110.04945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nft-k-non-fungible-tangent-kernels-2110.04945"/></url>
<url><loc>https://scifaro.com/en/abs/towards-demystifying-representation-learning-with-non-contrastive-self-supervision-2110.04947</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-demystifying-representation-learning-with-non-contrastive-self-supervision-2110.04947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-demystifying-representation-learning-with-non-contrastive-self-supervision-2110.04947"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-stream-reservoir-graph-networks-with-data-assimilation-2110.04959</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-stream-reservoir-graph-networks-with-data-assimilation-2110.04959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-stream-reservoir-graph-networks-with-data-assimilation-2110.04959"/></url>
<url><loc>https://scifaro.com/en/abs/equivalence-analysis-between-counterfactual-regret-minimization-and-online-mirror-descent-2110.04961</loc><lastmod>2022-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivalence-analysis-between-counterfactual-regret-minimization-and-online-mirror-descent-2110.04961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivalence-analysis-between-counterfactual-regret-minimization-and-online-mirror-descent-2110.04961"/></url>
<url><loc>https://scifaro.com/en/abs/value-function-based-sequential-minimization-for-bi-level-optimization-2110.04974</loc><lastmod>2023-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/value-function-based-sequential-minimization-for-bi-level-optimization-2110.04974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/value-function-based-sequential-minimization-for-bi-level-optimization-2110.04974"/></url>
<url><loc>https://scifaro.com/en/abs/the-skellam-mechanism-for-differentially-private-federated-learning-2110.04995</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-skellam-mechanism-for-differentially-private-federated-learning-2110.04995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-skellam-mechanism-for-differentially-private-federated-learning-2110.04995"/></url>
<url><loc>https://scifaro.com/en/abs/disturbing-target-values-for-neural-network-regularization-2110.05003</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disturbing-target-values-for-neural-network-regularization-2110.05003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disturbing-target-values-for-neural-network-regularization-2110.05003"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-proactive-customer-care-enabling-science-and-steps-to-realize-it-2110.05015</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-proactive-customer-care-enabling-science-and-steps-to-realize-it-2110.05015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-proactive-customer-care-enabling-science-and-steps-to-realize-it-2110.05015"/></url>
<url><loc>https://scifaro.com/en/abs/time-varying-graph-learning-under-structured-temporal-priors-2110.05018</loc><lastmod>2022-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-varying-graph-learning-under-structured-temporal-priors-2110.05018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-varying-graph-learning-under-structured-temporal-priors-2110.05018"/></url>
<url><loc>https://scifaro.com/en/abs/online-graph-learning-in-dynamic-environments-2110.05023</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-graph-learning-in-dynamic-environments-2110.05023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-graph-learning-in-dynamic-environments-2110.05023"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-learning-is-more-robust-to-dataset-imbalance-2110.05025</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-learning-is-more-robust-to-dataset-imbalance-2110.05025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-learning-is-more-robust-to-dataset-imbalance-2110.05025"/></url>
<url><loc>https://scifaro.com/en/abs/bid-optimization-using-maximum-entropy-reinforcement-learning-2110.05032</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bid-optimization-using-maximum-entropy-reinforcement-learning-2110.05032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bid-optimization-using-maximum-entropy-reinforcement-learning-2110.05032"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-model-free-rl-can-be-a-strong-baseline-for-many-pomdps-2110.05038</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-model-free-rl-can-be-a-strong-baseline-for-many-pomdps-2110.05038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-model-free-rl-can-be-a-strong-baseline-for-many-pomdps-2110.05038"/></url>
<url><loc>https://scifaro.com/en/abs/can-stochastic-gradient-langevin-dynamics-provide-differential-privacy-for-deep-learning-2110.05057</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-stochastic-gradient-langevin-dynamics-provide-differential-privacy-for-deep-learning-2110.05057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-stochastic-gradient-langevin-dynamics-provide-differential-privacy-for-deep-learning-2110.05057"/></url>
<url><loc>https://scifaro.com/en/abs/two-level-group-convolution-2110.05060</loc><lastmod>2022-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-level-group-convolution-2110.05060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-level-group-convolution-2110.05060"/></url>
<url><loc>https://scifaro.com/en/abs/ab-initio-potential-energy-surfaces-by-pairing-gnns-with-neural-wave-functions-2110.05064</loc><lastmod>2022-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ab-initio-potential-energy-surfaces-by-pairing-gnns-with-neural-wave-functions-2110.05064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ab-initio-potential-energy-surfaces-by-pairing-gnns-with-neural-wave-functions-2110.05064"/></url>
<url><loc>https://scifaro.com/en/abs/density-based-clustering-with-kernel-diffusion-2110.05096</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-based-clustering-with-kernel-diffusion-2110.05096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-based-clustering-with-kernel-diffusion-2110.05096"/></url>
<url><loc>https://scifaro.com/en/abs/rein-2-giving-birth-to-prepared-reinforcement-learning-agents-using-reinforcement-learning-agents-2110.05128</loc><lastmod>2022-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rein-2-giving-birth-to-prepared-reinforcement-learning-agents-using-reinforcement-learning-agents-2110.05128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rein-2-giving-birth-to-prepared-reinforcement-learning-agents-using-reinforcement-learning-agents-2110.05128"/></url>
<url><loc>https://scifaro.com/en/abs/exchangeability-aware-sum-product-networks-2110.05165</loc><lastmod>2022-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exchangeability-aware-sum-product-networks-2110.05165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exchangeability-aware-sum-product-networks-2110.05165"/></url>
<url><loc>https://scifaro.com/en/abs/learning-a-subspace-of-policies-for-online-adaptation-in-reinforcement-learning-2110.05169</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-a-subspace-of-policies-for-online-adaptation-in-reinforcement-learning-2110.05169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-a-subspace-of-policies-for-online-adaptation-in-reinforcement-learning-2110.05169"/></url>
<url><loc>https://scifaro.com/en/abs/gradual-federated-learning-with-simulated-annealing-2110.05178</loc><lastmod>2021-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradual-federated-learning-with-simulated-annealing-2110.05178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradual-federated-learning-with-simulated-annealing-2110.05178"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-binary-neural-network-by-learning-channel-wise-thresholds-2110.05185</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-binary-neural-network-by-learning-channel-wise-thresholds-2110.05185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-binary-neural-network-by-learning-channel-wise-thresholds-2110.05185"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-plotted-data-by-image-segmentation-2110.05187</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-plotted-data-by-image-segmentation-2110.05187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-plotted-data-by-image-segmentation-2110.05187"/></url>
<url><loc>https://scifaro.com/en/abs/performance-analysis-of-fractional-learning-algorithms-2110.05201</loc><lastmod>2022-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/performance-analysis-of-fractional-learning-algorithms-2110.05201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/performance-analysis-of-fractional-learning-algorithms-2110.05201"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-with-differential-privacy-2110.05223</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-with-differential-privacy-2110.05223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-with-differential-privacy-2110.05223"/></url>
<url><loc>https://scifaro.com/en/abs/fast-attributed-graph-embedding-via-density-of-states-2110.05228</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-attributed-graph-embedding-via-density-of-states-2110.05228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-attributed-graph-embedding-via-density-of-states-2110.05228"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-multi-objective-neural-architecture-search-by-random-weight-evaluation-2110.05242</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-multi-objective-neural-architecture-search-by-random-weight-evaluation-2110.05242"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-multi-objective-neural-architecture-search-by-random-weight-evaluation-2110.05242"/></url>
<url><loc>https://scifaro.com/en/abs/chaos-as-an-interpretable-benchmark-for-forecasting-and-data-driven-modelling-2110.05266</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/chaos-as-an-interpretable-benchmark-for-forecasting-and-data-driven-modelling-2110.05266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/chaos-as-an-interpretable-benchmark-for-forecasting-and-data-driven-modelling-2110.05266"/></url>
<url><loc>https://scifaro.com/en/abs/phase-collapse-in-neural-networks-2110.05283</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phase-collapse-in-neural-networks-2110.05283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phase-collapse-in-neural-networks-2110.05283"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-ambiguous-demonstrations-with-self-explanation-guided-reinforcement-learning-2110.05286</loc><lastmod>2024-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-ambiguous-demonstrations-with-self-explanation-guided-reinforcement-learning-2110.05286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-ambiguous-demonstrations-with-self-explanation-guided-reinforcement-learning-2110.05286"/></url>
<url><loc>https://scifaro.com/en/abs/homogeneous-learning-self-attention-decentralized-deep-learning-2110.05290</loc><lastmod>2022-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/homogeneous-learning-self-attention-decentralized-deep-learning-2110.05290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/homogeneous-learning-self-attention-decentralized-deep-learning-2110.05290"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-network-guided-local-search-for-the-traveling-salesperson-problem-2110.05291</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-network-guided-local-search-for-the-traveling-salesperson-problem-2110.05291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-network-guided-local-search-for-the-traveling-salesperson-problem-2110.05291"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-pooling-in-graph-neural-networks-2110.05292</loc><lastmod>2024-03-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-pooling-in-graph-neural-networks-2110.05292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-pooling-in-graph-neural-networks-2110.05292"/></url>
<url><loc>https://scifaro.com/en/abs/you-mostly-walk-alone-analyzing-feature-attribution-in-trajectory-prediction-2110.05304</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/you-mostly-walk-alone-analyzing-feature-attribution-in-trajectory-prediction-2110.05304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/you-mostly-walk-alone-analyzing-feature-attribution-in-trajectory-prediction-2110.05304"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-source-separation-via-bayesian-inference-in-the-latent-domain-2110.05313</loc><lastmod>2022-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-source-separation-via-bayesian-inference-in-the-latent-domain-2110.05313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-source-separation-via-bayesian-inference-in-the-latent-domain-2110.05313"/></url>
<url><loc>https://scifaro.com/en/abs/progfed-effective-communication-and-computation-efficient-federated-learning-by-progressive-training-2110.05323</loc><lastmod>2024-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progfed-effective-communication-and-computation-efficient-federated-learning-by-progressive-training-2110.05323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progfed-effective-communication-and-computation-efficient-federated-learning-by-progressive-training-2110.05323"/></url>
<url><loc>https://scifaro.com/en/abs/avoiding-forgetting-and-allowing-forward-transfer-in-continual-learning-via-sparse-networks-2110.05329</loc><lastmod>2022-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/avoiding-forgetting-and-allowing-forward-transfer-in-continual-learning-via-sparse-networks-2110.05329"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/avoiding-forgetting-and-allowing-forward-transfer-in-continual-learning-via-sparse-networks-2110.05329"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-transformers-for-starcraft-macromanagement-prediction-2110.05343</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-transformers-for-starcraft-macromanagement-prediction-2110.05343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-transformers-for-starcraft-macromanagement-prediction-2110.05343"/></url>
<url><loc>https://scifaro.com/en/abs/instance-based-label-smoothing-for-better-calibrated-classification-networks-2110.05355</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-based-label-smoothing-for-better-calibrated-classification-networks-2110.05355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-based-label-smoothing-for-better-calibrated-classification-networks-2110.05355"/></url>
<url><loc>https://scifaro.com/en/abs/graph-guided-network-for-irregularly-sampled-multivariate-time-series-2110.05357</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-guided-network-for-irregularly-sampled-multivariate-time-series-2110.05357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-guided-network-for-irregularly-sampled-multivariate-time-series-2110.05357"/></url>
<url><loc>https://scifaro.com/en/abs/intriguing-properties-of-input-dependent-randomized-smoothing-2110.05365</loc><lastmod>2024-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intriguing-properties-of-input-dependent-randomized-smoothing-2110.05365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intriguing-properties-of-input-dependent-randomized-smoothing-2110.05365"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-the-softmax-bottleneck-for-sequential-recommender-systems-with-dropout-and-decoupling-2110.05409</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-the-softmax-bottleneck-for-sequential-recommender-systems-with-dropout-and-decoupling-2110.05409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-the-softmax-bottleneck-for-sequential-recommender-systems-with-dropout-and-decoupling-2110.05409"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-approximate-quantiles-2110.05429</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-approximate-quantiles-2110.05429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-approximate-quantiles-2110.05429"/></url>
<url><loc>https://scifaro.com/en/abs/density-based-interpretable-hypercube-region-partitioning-for-mixed-numeric-and-categorical-data-2110.05430</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-based-interpretable-hypercube-region-partitioning-for-mixed-numeric-and-categorical-data-2110.05430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-based-interpretable-hypercube-region-partitioning-for-mixed-numeric-and-categorical-data-2110.05430"/></url>
<url><loc>https://scifaro.com/en/abs/neural-algorithmic-reasoners-are-implicit-planners-2110.05442</loc><lastmod>2021-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-algorithmic-reasoners-are-implicit-planners-2110.05442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-algorithmic-reasoners-are-implicit-planners-2110.05442"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-approaches-for-predicting-spread-of-infectious-diseases-through-dinns-disease-informed-neural-networks-2110.05445</loc><lastmod>2022-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-approaches-for-predicting-spread-of-infectious-diseases-through-dinns-disease-informed-neural-networks-2110.05445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-approaches-for-predicting-spread-of-infectious-diseases-through-dinns-disease-informed-neural-networks-2110.05445"/></url>
<url><loc>https://scifaro.com/en/abs/momentum-centering-and-asynchronous-update-for-adaptive-gradient-methods-2110.05454</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/momentum-centering-and-asynchronous-update-for-adaptive-gradient-methods-2110.05454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/momentum-centering-and-asynchronous-update-for-adaptive-gradient-methods-2110.05454"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-spread-of-covid-19-in-delhi-india-using-deep-residual-recurrent-neural-networks-2110.05477</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-spread-of-covid-19-in-delhi-india-using-deep-residual-recurrent-neural-networks-2110.05477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-spread-of-covid-19-in-delhi-india-using-deep-residual-recurrent-neural-networks-2110.05477"/></url>
<url><loc>https://scifaro.com/en/abs/which-samples-should-be-learned-first-easy-or-hard-2110.05481</loc><lastmod>2022-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-samples-should-be-learned-first-easy-or-hard-2110.05481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-samples-should-be-learned-first-easy-or-hard-2110.05481"/></url>
<url><loc>https://scifaro.com/en/abs/global-optimality-beyond-two-layers-training-deep-relu-networks-via-convex-programs-2110.05518</loc><lastmod>2022-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-optimality-beyond-two-layers-training-deep-relu-networks-via-convex-programs-2110.05518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-optimality-beyond-two-layers-training-deep-relu-networks-via-convex-programs-2110.05518"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-traffic-signal-controls-using-fog-cloud-based-multiagent-reinforcement-learning-2110.05564</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-traffic-signal-controls-using-fog-cloud-based-multiagent-reinforcement-learning-2110.05564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-traffic-signal-controls-using-fog-cloud-based-multiagent-reinforcement-learning-2110.05564"/></url>
<url><loc>https://scifaro.com/en/abs/next-period-recommendation-reality-check-2110.05589</loc><lastmod>2022-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/next-period-recommendation-reality-check-2110.05589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/next-period-recommendation-reality-check-2110.05589"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-coordinate-in-multi-agent-systems-a-coordinated-actor-critic-algorithm-and-finite-time-guarantees-2110.05597</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-coordinate-in-multi-agent-systems-a-coordinated-actor-critic-algorithm-and-finite-time-guarantees-2110.05597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-coordinate-in-multi-agent-systems-a-coordinated-actor-critic-algorithm-and-finite-time-guarantees-2110.05597"/></url>
<url><loc>https://scifaro.com/en/abs/gcn-se-attention-as-explainability-for-node-classification-in-dynamic-graphs-2110.05598</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gcn-se-attention-as-explainability-for-node-classification-in-dynamic-graphs-2110.05598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gcn-se-attention-as-explainability-for-node-classification-in-dynamic-graphs-2110.05598"/></url>
<url><loc>https://scifaro.com/en/abs/partial-variable-training-for-efficient-on-device-federated-learning-2110.05607</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-variable-training-for-efficient-on-device-federated-learning-2110.05607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-variable-training-for-efficient-on-device-federated-learning-2110.05607"/></url>
<url><loc>https://scifaro.com/en/abs/tsk-fuzzy-system-towards-few-labeled-incomplete-multi-view-data-classification-2110.05610</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tsk-fuzzy-system-towards-few-labeled-incomplete-multi-view-data-classification-2110.05610"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tsk-fuzzy-system-towards-few-labeled-incomplete-multi-view-data-classification-2110.05610"/></url>
<url><loc>https://scifaro.com/en/abs/signal-processing-on-cell-complexes-2110.05614</loc><lastmod>2022-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/signal-processing-on-cell-complexes-2110.05614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/signal-processing-on-cell-complexes-2110.05614"/></url>
<url><loc>https://scifaro.com/en/abs/review-of-kernel-learning-for-intra-hour-solar-forecasting-with-infrared-sky-images-and-cloud-dynamic-feature-extraction-2110.05622</loc><lastmod>2023-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/review-of-kernel-learning-for-intra-hour-solar-forecasting-with-infrared-sky-images-and-cloud-dynamic-feature-extraction-2110.05622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/review-of-kernel-learning-for-intra-hour-solar-forecasting-with-infrared-sky-images-and-cloud-dynamic-feature-extraction-2110.05622"/></url>
<url><loc>https://scifaro.com/en/abs/parameterizing-activation-functions-for-adversarial-robustness-2110.05626</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameterizing-activation-functions-for-adversarial-robustness-2110.05626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameterizing-activation-functions-for-adversarial-robustness-2110.05626"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-eeg-based-emotion-recognition-using-discrete-wavelet-transforms-on-full-and-reduced-channel-signals-2110.05635</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-eeg-based-emotion-recognition-using-discrete-wavelet-transforms-on-full-and-reduced-channel-signals-2110.05635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-eeg-based-emotion-recognition-using-discrete-wavelet-transforms-on-full-and-reduced-channel-signals-2110.05635"/></url>
<url><loc>https://scifaro.com/en/abs/a-global-convergence-theory-for-deep-relu-implicit-networks-via-over-parameterization-2110.05645</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-global-convergence-theory-for-deep-relu-implicit-networks-via-over-parameterization-2110.05645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-global-convergence-theory-for-deep-relu-implicit-networks-via-over-parameterization-2110.05645"/></url>
<url><loc>https://scifaro.com/en/abs/learned-robust-pca-a-scalable-deep-unfolding-approach-for-high-dimensional-outlier-detection-2110.05649</loc><lastmod>2023-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learned-robust-pca-a-scalable-deep-unfolding-approach-for-high-dimensional-outlier-detection-2110.05649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learned-robust-pca-a-scalable-deep-unfolding-approach-for-high-dimensional-outlier-detection-2110.05649"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-algorithmic-supervision-via-continuous-relaxations-2110.05651</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-algorithmic-supervision-via-continuous-relaxations-2110.05651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-algorithmic-supervision-via-continuous-relaxations-2110.05651"/></url>
<url><loc>https://scifaro.com/en/abs/why-lottery-ticket-wins-a-theoretical-perspective-of-sample-complexity-on-pruned-neural-networks-2110.05667</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-lottery-ticket-wins-a-theoretical-perspective-of-sample-complexity-on-pruned-neural-networks-2110.05667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-lottery-ticket-wins-a-theoretical-perspective-of-sample-complexity-on-pruned-neural-networks-2110.05667"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-stereoselectivity-of-chemical-transformations-by-machine-learning-2110.05671</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-stereoselectivity-of-chemical-transformations-by-machine-learning-2110.05671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-stereoselectivity-of-chemical-transformations-by-machine-learning-2110.05671"/></url>
<url><loc>https://scifaro.com/en/abs/large-language-models-can-be-strong-differentially-private-learners-2110.05679</loc><lastmod>2022-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-language-models-can-be-strong-differentially-private-learners-2110.05679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-language-models-can-be-strong-differentially-private-learners-2110.05679"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-reinforcement-learning-in-decentralized-general-sum-markov-games-2110.05682</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-reinforcement-learning-in-decentralized-general-sum-markov-games-2110.05682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-reinforcement-learning-in-decentralized-general-sum-markov-games-2110.05682"/></url>
<url><loc>https://scifaro.com/en/abs/on-improving-model-free-algorithms-for-decentralized-multi-agent-reinforcement-learning-2110.05707</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-improving-model-free-algorithms-for-decentralized-multi-agent-reinforcement-learning-2110.05707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-improving-model-free-algorithms-for-decentralized-multi-agent-reinforcement-learning-2110.05707"/></url>
<url><loc>https://scifaro.com/en/abs/decgan-decoupling-generative-adversarial-network-detecting-abnormal-neural-circuits-for-alzheimer-s-disease-2110.05712</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decgan-decoupling-generative-adversarial-network-detecting-abnormal-neural-circuits-for-alzheimer-s-disease-2110.05712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decgan-decoupling-generative-adversarial-network-detecting-abnormal-neural-circuits-for-alzheimer-s-disease-2110.05712"/></url>
<url><loc>https://scifaro.com/en/abs/action-sufficient-state-representation-learning-for-control-with-structural-constraints-2110.05721</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/action-sufficient-state-representation-learning-for-control-with-structural-constraints-2110.05721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/action-sufficient-state-representation-learning-for-control-with-structural-constraints-2110.05721"/></url>
<url><loc>https://scifaro.com/en/abs/query-reward-tradeoffs-in-multi-armed-bandits-2110.05724</loc><lastmod>2022-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/query-reward-tradeoffs-in-multi-armed-bandits-2110.05724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/query-reward-tradeoffs-in-multi-armed-bandits-2110.05724"/></url>
<url><loc>https://scifaro.com/en/abs/guided-gan-adversarial-representation-learning-for-activity-recognition-with-wearables-2110.05732</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guided-gan-adversarial-representation-learning-for-activity-recognition-with-wearables-2110.05732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guided-gan-adversarial-representation-learning-for-activity-recognition-with-wearables-2110.05732"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-abstraction-in-reinforcement-learning-with-the-successor-representation-2110.05740</loc><lastmod>2023-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-abstraction-in-reinforcement-learning-with-the-successor-representation-2110.05740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-abstraction-in-reinforcement-learning-with-the-successor-representation-2110.05740"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-efficiency-of-co-2-sequestering-by-metal-organic-frameworks-through-machine-learning-analysis-of-structural-and-electronic-properties-2110.05753</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-efficiency-of-co-2-sequestering-by-metal-organic-frameworks-through-machine-learning-analysis-of-structural-and-electronic-properties-2110.05753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-efficiency-of-co-2-sequestering-by-metal-organic-frameworks-through-machine-learning-analysis-of-structural-and-electronic-properties-2110.05753"/></url>
<url><loc>https://scifaro.com/en/abs/deep-federated-learning-for-autonomous-driving-2110.05754</loc><lastmod>2022-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-federated-learning-for-autonomous-driving-2110.05754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-federated-learning-for-autonomous-driving-2110.05754"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-structured-generative-modeling-2110.05794</loc><lastmod>2022-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-structured-generative-modeling-2110.05794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-structured-generative-modeling-2110.05794"/></url>
<url><loc>https://scifaro.com/en/abs/zero-bias-deep-neural-network-for-quickest-rf-signal-surveillance-2110.05797</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-bias-deep-neural-network-for-quickest-rf-signal-surveillance-2110.05797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-bias-deep-neural-network-for-quickest-rf-signal-surveillance-2110.05797"/></url>
<url><loc>https://scifaro.com/en/abs/codabench-flexible-easy-to-use-and-reproducible-benchmarking-platform-2110.05802</loc><lastmod>2022-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/codabench-flexible-easy-to-use-and-reproducible-benchmarking-platform-2110.05802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/codabench-flexible-easy-to-use-and-reproducible-benchmarking-platform-2110.05802"/></url>
<url><loc>https://scifaro.com/en/abs/couple-learning-for-semi-supervised-sound-event-detection-2110.05809</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/couple-learning-for-semi-supervised-sound-event-detection-2110.05809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/couple-learning-for-semi-supervised-sound-event-detection-2110.05809"/></url>
<url><loc>https://scifaro.com/en/abs/coarsas2hvec-heterogeneous-information-network-embedding-with-balanced-network-sampling-2110.05820</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coarsas2hvec-heterogeneous-information-network-embedding-with-balanced-network-sampling-2110.05820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coarsas2hvec-heterogeneous-information-network-embedding-with-balanced-network-sampling-2110.05820"/></url>
<url><loc>https://scifaro.com/en/abs/balancing-average-and-worst-case-accuracy-in-multitask-learning-2110.05838</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balancing-average-and-worst-case-accuracy-in-multitask-learning-2110.05838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balancing-average-and-worst-case-accuracy-in-multitask-learning-2110.05838"/></url>
<url><loc>https://scifaro.com/en/abs/relative-molecule-self-attention-transformer-2110.05841</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relative-molecule-self-attention-transformer-2110.05841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relative-molecule-self-attention-transformer-2110.05841"/></url>
<url><loc>https://scifaro.com/en/abs/across-task-neural-architecture-search-via-meta-learning-2110.05842</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/across-task-neural-architecture-search-via-meta-learning-2110.05842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/across-task-neural-architecture-search-via-meta-learning-2110.05842"/></url>
<url><loc>https://scifaro.com/en/abs/fast-block-linear-system-solver-using-q-learning-schduling-for-unified-dynamic-power-system-simulations-2110.05843</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-block-linear-system-solver-using-q-learning-schduling-for-unified-dynamic-power-system-simulations-2110.05843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-block-linear-system-solver-using-q-learning-schduling-for-unified-dynamic-power-system-simulations-2110.05843"/></url>
<url><loc>https://scifaro.com/en/abs/disentangling-intrinsic-motion-from-neighbourhood-effects-in-heterogeneous-collective-motion-2110.05864</loc><lastmod>2023-09-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangling-intrinsic-motion-from-neighbourhood-effects-in-heterogeneous-collective-motion-2110.05864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangling-intrinsic-motion-from-neighbourhood-effects-in-heterogeneous-collective-motion-2110.05864"/></url>
<url><loc>https://scifaro.com/en/abs/rank-based-loss-for-learning-hierarchical-representations-2110.05941</loc><lastmod>2024-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-based-loss-for-learning-hierarchical-representations-2110.05941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-based-loss-for-learning-hierarchical-representations-2110.05941"/></url>
<url><loc>https://scifaro.com/en/abs/multi-condition-multi-objective-optimization-using-deep-reinforcement-learning-2110.05945</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-condition-multi-objective-optimization-using-deep-reinforcement-learning-2110.05945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-condition-multi-objective-optimization-using-deep-reinforcement-learning-2110.05945"/></url>
<url><loc>https://scifaro.com/en/abs/c3pu-cross-coupling-capacitor-processing-unit-using-analog-mixed-signal-in-memory-computing-for-ai-inference-2110.05947</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/c3pu-cross-coupling-capacitor-processing-unit-using-analog-mixed-signal-in-memory-computing-for-ai-inference-2110.05947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/c3pu-cross-coupling-capacitor-processing-unit-using-analog-mixed-signal-in-memory-computing-for-ai-inference-2110.05947"/></url>
<url><loc>https://scifaro.com/en/abs/imitating-deep-learning-dynamics-via-locally-elastic-stochastic-differential-equations-2110.05960</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imitating-deep-learning-dynamics-via-locally-elastic-stochastic-differential-equations-2110.05960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imitating-deep-learning-dynamics-via-locally-elastic-stochastic-differential-equations-2110.05960"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-security-risks-of-automl-2110.06018</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-security-risks-of-automl-2110.06018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-security-risks-of-automl-2110.06018"/></url>
<url><loc>https://scifaro.com/en/abs/on-out-of-distribution-detection-with-bayesian-neural-networks-2110.06020</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-out-of-distribution-detection-with-bayesian-neural-networks-2110.06020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-out-of-distribution-detection-with-bayesian-neural-networks-2110.06020"/></url>
<url><loc>https://scifaro.com/en/abs/softneuro-fast-deep-inference-using-multi-platform-optimization-2110.06037</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/softneuro-fast-deep-inference-using-multi-platform-optimization-2110.06037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/softneuro-fast-deep-inference-using-multi-platform-optimization-2110.06037"/></url>
<url><loc>https://scifaro.com/en/abs/gated-information-bottleneck-for-generalization-in-sequential-environments-2110.06057</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gated-information-bottleneck-for-generalization-in-sequential-environments-2110.06057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gated-information-bottleneck-for-generalization-in-sequential-environments-2110.06057"/></url>
<url><loc>https://scifaro.com/en/abs/development-of-deep-transformer-based-models-for-long-term-prediction-of-transient-production-of-oil-wells-2110.06059</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/development-of-deep-transformer-based-models-for-long-term-prediction-of-transient-production-of-oil-wells-2110.06059"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/development-of-deep-transformer-based-models-for-long-term-prediction-of-transient-production-of-oil-wells-2110.06059"/></url>
<url><loc>https://scifaro.com/en/abs/on-expressivity-and-trainability-of-quadratic-networks-2110.06081</loc><lastmod>2023-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-expressivity-and-trainability-of-quadratic-networks-2110.06081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-expressivity-and-trainability-of-quadratic-networks-2110.06081"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-bias-of-linear-equivariant-networks-2110.06084</loc><lastmod>2022-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-bias-of-linear-equivariant-networks-2110.06084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-bias-of-linear-equivariant-networks-2110.06084"/></url>
<url><loc>https://scifaro.com/en/abs/cubature-kalman-filter-based-training-of-hybrid-differential-equation-recurrent-neural-network-physiological-dynamic-models-2110.06089</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cubature-kalman-filter-based-training-of-hybrid-differential-equation-recurrent-neural-network-physiological-dynamic-models-2110.06089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cubature-kalman-filter-based-training-of-hybrid-differential-equation-recurrent-neural-network-physiological-dynamic-models-2110.06089"/></url>
<url><loc>https://scifaro.com/en/abs/label-scarcity-in-biomedicine-data-rich-latent-factor-discovery-enhances-phenotype-prediction-2110.06135</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-scarcity-in-biomedicine-data-rich-latent-factor-discovery-enhances-phenotype-prediction-2110.06135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-scarcity-in-biomedicine-data-rich-latent-factor-discovery-enhances-phenotype-prediction-2110.06135"/></url>
<url><loc>https://scifaro.com/en/abs/planning-from-pixels-in-environments-with-combinatorially-hard-search-spaces-2110.06149</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/planning-from-pixels-in-environments-with-combinatorially-hard-search-spaces-2110.06149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/planning-from-pixels-in-environments-with-combinatorially-hard-search-spaces-2110.06149"/></url>
<url><loc>https://scifaro.com/en/abs/game-theory-for-adversarial-attacks-and-defenses-2110.06166</loc><lastmod>2024-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/game-theory-for-adversarial-attacks-and-defenses-2110.06166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/game-theory-for-adversarial-attacks-and-defenses-2110.06166"/></url>
<url><loc>https://scifaro.com/en/abs/offline-reinforcement-learning-with-implicit-q-learning-2110.06169</loc><lastmod>2021-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-reinforcement-learning-with-implicit-q-learning-2110.06169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-reinforcement-learning-with-implicit-q-learning-2110.06169"/></url>
<url><loc>https://scifaro.com/en/abs/grape-for-fast-and-scalable-graph-processing-and-random-walk-based-embedding-2110.06196</loc><lastmod>2023-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grape-for-fast-and-scalable-graph-processing-and-random-walk-based-embedding-2110.06196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grape-for-fast-and-scalable-graph-processing-and-random-walk-based-embedding-2110.06196"/></url>
<url><loc>https://scifaro.com/en/abs/crystal-diffusion-variational-autoencoder-for-periodic-material-generation-2110.06197</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crystal-diffusion-variational-autoencoder-for-periodic-material-generation-2110.06197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crystal-diffusion-variational-autoencoder-for-periodic-material-generation-2110.06197"/></url>
<url><loc>https://scifaro.com/en/abs/last-iterate-risk-bounds-of-sgd-with-decaying-stepsize-for-overparameterized-linear-regression-2110.06198</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/last-iterate-risk-bounds-of-sgd-with-decaying-stepsize-for-overparameterized-linear-regression-2110.06198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/last-iterate-risk-bounds-of-sgd-with-decaying-stepsize-for-overparameterized-linear-regression-2110.06198"/></url>
<url><loc>https://scifaro.com/en/abs/starformer-transformer-with-state-action-reward-representations-for-visual-reinforcement-learning-2110.06206</loc><lastmod>2023-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/starformer-transformer-with-state-action-reward-representations-for-visual-reinforcement-learning-2110.06206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/starformer-transformer-with-state-action-reward-representations-for-visual-reinforcement-learning-2110.06206"/></url>
<url><loc>https://scifaro.com/en/abs/a-brief-introduction-to-automatic-differentiation-for-machine-learning-2110.06209</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-brief-introduction-to-automatic-differentiation-for-machine-learning-2110.06209"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-brief-introduction-to-automatic-differentiation-for-machine-learning-2110.06209"/></url>
<url><loc>https://scifaro.com/en/abs/molecular-graph-generation-via-geometric-scattering-2110.06241</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molecular-graph-generation-via-geometric-scattering-2110.06241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molecular-graph-generation-via-geometric-scattering-2110.06241"/></url>
<url><loc>https://scifaro.com/en/abs/not-all-noise-is-accounted-equally-how-differentially-private-learning-benefits-from-large-sampling-rates-2110.06255</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/not-all-noise-is-accounted-equally-how-differentially-private-learning-benefits-from-large-sampling-rates-2110.06255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/not-all-noise-is-accounted-equally-how-differentially-private-learning-benefits-from-large-sampling-rates-2110.06255"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-weights-do-not-converge-to-stationary-points-an-invariant-measure-perspective-2110.06256</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-weights-do-not-converge-to-stationary-points-an-invariant-measure-perspective-2110.06256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-weights-do-not-converge-to-stationary-points-an-invariant-measure-perspective-2110.06256"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-from-conditionally-stationary-time-series-2110.06257</loc><lastmod>2025-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-from-conditionally-stationary-time-series-2110.06257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-from-conditionally-stationary-time-series-2110.06257"/></url>
<url><loc>https://scifaro.com/en/abs/twice-regularized-mdps-and-the-equivalence-between-robustness-and-regularization-2110.06267</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/twice-regularized-mdps-and-the-equivalence-between-robustness-and-regularization-2110.06267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/twice-regularized-mdps-and-the-equivalence-between-robustness-and-regularization-2110.06267"/></url>
<url><loc>https://scifaro.com/en/abs/the-rich-get-richer-disparate-impact-of-semi-supervised-learning-2110.06282</loc><lastmod>2023-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-rich-get-richer-disparate-impact-of-semi-supervised-learning-2110.06282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-rich-get-richer-disparate-impact-of-semi-supervised-learning-2110.06282"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-corrupted-labels-without-training-a-model-to-predict-2110.06283</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-corrupted-labels-without-training-a-model-to-predict-2110.06283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-corrupted-labels-without-training-a-model-to-predict-2110.06283"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-learning-from-an-expert-in-deep-recommendation-systems-with-marginal-distance-probability-distribution-2110.06287</loc><lastmod>2022-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-learning-from-an-expert-in-deep-recommendation-systems-with-marginal-distance-probability-distribution-2110.06287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-learning-from-an-expert-in-deep-recommendation-systems-with-marginal-distance-probability-distribution-2110.06287"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-consistency-training-for-graph-neural-networks-via-self-ensemble-self-distillation-2110.06290</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-consistency-training-for-graph-neural-networks-via-self-ensemble-self-distillation-2110.06290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-consistency-training-for-graph-neural-networks-via-self-ensemble-self-distillation-2110.06290"/></url>
<url><loc>https://scifaro.com/en/abs/the-role-of-permutation-invariance-in-linear-mode-connectivity-of-neural-networks-2110.06296</loc><lastmod>2022-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-role-of-permutation-invariance-in-linear-mode-connectivity-of-neural-networks-2110.06296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-role-of-permutation-invariance-in-linear-mode-connectivity-of-neural-networks-2110.06296"/></url>
<url><loc>https://scifaro.com/en/abs/incremental-community-detection-in-distributed-dynamic-graph-2110.06311</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incremental-community-detection-in-distributed-dynamic-graph-2110.06311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incremental-community-detection-in-distributed-dynamic-graph-2110.06311"/></url>
<url><loc>https://scifaro.com/en/abs/a-multi-scale-time-series-dataset-with-benchmark-for-machine-learning-in-decarbonized-energy-grids-2110.06324</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multi-scale-time-series-dataset-with-benchmark-for-machine-learning-in-decarbonized-energy-grids-2110.06324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multi-scale-time-series-dataset-with-benchmark-for-machine-learning-in-decarbonized-energy-grids-2110.06324"/></url>
<url><loc>https://scifaro.com/en/abs/fast-approximations-for-job-shop-scheduling-a-lagrangian-dual-deep-learning-method-2110.06365</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-approximations-for-job-shop-scheduling-a-lagrangian-dual-deep-learning-method-2110.06365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-approximations-for-job-shop-scheduling-a-lagrangian-dual-deep-learning-method-2110.06365"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-leak-localization-in-water-distribution-networks-via-dictionary-learning-and-graph-based-interpolation-2110.06372</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-leak-localization-in-water-distribution-networks-via-dictionary-learning-and-graph-based-interpolation-2110.06372"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-leak-localization-in-water-distribution-networks-via-dictionary-learning-and-graph-based-interpolation-2110.06372"/></url>
<url><loc>https://scifaro.com/en/abs/coupled-and-uncoupled-dynamic-mode-decomposition-in-multi-compartmental-systems-with-applications-to-epidemiological-and-additive-manufacturing-problems-2110.06375</loc><lastmod>2022-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coupled-and-uncoupled-dynamic-mode-decomposition-in-multi-compartmental-systems-with-applications-to-epidemiological-and-additive-manufacturing-problems-2110.06375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coupled-and-uncoupled-dynamic-mode-decomposition-in-multi-compartmental-systems-with-applications-to-epidemiological-and-additive-manufacturing-problems-2110.06375"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-drift-detection-on-time-series-data-2110.06383</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-drift-detection-on-time-series-data-2110.06383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-drift-detection-on-time-series-data-2110.06383"/></url>
<url><loc>https://scifaro.com/en/abs/amortized-tree-generation-for-bottom-up-synthesis-planning-and-synthesizable-molecular-design-2110.06389</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortized-tree-generation-for-bottom-up-synthesis-planning-and-synthesizable-molecular-design-2110.06389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortized-tree-generation-for-bottom-up-synthesis-planning-and-synthesizable-molecular-design-2110.06389"/></url>
<url><loc>https://scifaro.com/en/abs/reward-free-model-based-reinforcement-learning-with-linear-function-approximation-2110.06394</loc><lastmod>2022-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reward-free-model-based-reinforcement-learning-with-linear-function-approximation-2110.06394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reward-free-model-based-reinforcement-learning-with-linear-function-approximation-2110.06394"/></url>
<url><loc>https://scifaro.com/en/abs/robust-neural-regression-via-uncertainty-learning-2110.06395</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-neural-regression-via-uncertainty-learning-2110.06395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-neural-regression-via-uncertainty-learning-2110.06395"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-inference-with-neural-interpreters-2110.06399</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-inference-with-neural-interpreters-2110.06399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-inference-with-neural-interpreters-2110.06399"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-latent-space-interpolation-via-a-quantitative-evaluation-framework-2110.06421</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-latent-space-interpolation-via-a-quantitative-evaluation-framework-2110.06421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-latent-space-interpolation-via-a-quantitative-evaluation-framework-2110.06421"/></url>
<url><loc>https://scifaro.com/en/abs/dense-uncertainty-estimation-2110.06427</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dense-uncertainty-estimation-2110.06427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dense-uncertainty-estimation-2110.06427"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-prediction-uncertainty-estimation-using-neuron-activation-strength-2110.06435</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-prediction-uncertainty-estimation-using-neuron-activation-strength-2110.06435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-prediction-uncertainty-estimation-using-neuron-activation-strength-2110.06435"/></url>
<url><loc>https://scifaro.com/en/abs/graph-fraudster-adversarial-attacks-on-graph-neural-network-based-vertical-federated-learning-2110.06468</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-fraudster-adversarial-attacks-on-graph-neural-network-based-vertical-federated-learning-2110.06468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-fraudster-adversarial-attacks-on-graph-neural-network-based-vertical-federated-learning-2110.06468"/></url>
<url><loc>https://scifaro.com/en/abs/sar-net-a-scenario-aware-ranking-network-for-personalized-fair-recommendation-in-hundreds-of-travel-scenarios-2110.06475</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sar-net-a-scenario-aware-ranking-network-for-personalized-fair-recommendation-in-hundreds-of-travel-scenarios-2110.06475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sar-net-a-scenario-aware-ranking-network-for-personalized-fair-recommendation-in-hundreds-of-travel-scenarios-2110.06475"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-deep-neural-networks-have-zero-duality-gap-2110.06482</loc><lastmod>2023-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-deep-neural-networks-have-zero-duality-gap-2110.06482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-deep-neural-networks-have-zero-duality-gap-2110.06482"/></url>
<url><loc>https://scifaro.com/en/abs/the-convex-geometry-of-backpropagation-neural-network-gradient-flows-converge-to-extreme-points-of-the-dual-convex-program-2110.06488</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-convex-geometry-of-backpropagation-neural-network-gradient-flows-converge-to-extreme-points-of-the-dual-convex-program-2110.06488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-convex-geometry-of-backpropagation-neural-network-gradient-flows-converge-to-extreme-points-of-the-dual-convex-program-2110.06488"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-fine-tuning-of-language-models-2110.06500</loc><lastmod>2022-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-fine-tuning-of-language-models-2110.06500"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-fine-tuning-of-language-models-2110.06500"/></url>
<url><loc>https://scifaro.com/en/abs/learning-stable-koopman-embeddings-2110.06509</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-stable-koopman-embeddings-2110.06509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-stable-koopman-embeddings-2110.06509"/></url>
<url><loc>https://scifaro.com/en/abs/finding-materialized-models-for-model-reuse-2110.06532</loc><lastmod>2023-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-materialized-models-for-model-reuse-2110.06532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-materialized-models-for-model-reuse-2110.06532"/></url>
<url><loc>https://scifaro.com/en/abs/well-classified-examples-are-underestimated-in-classification-with-deep-neural-networks-2110.06537</loc><lastmod>2023-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/well-classified-examples-are-underestimated-in-classification-with-deep-neural-networks-2110.06537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/well-classified-examples-are-underestimated-in-classification-with-deep-neural-networks-2110.06537"/></url>
<url><loc>https://scifaro.com/en/abs/on-covariate-shift-of-latent-confounders-in-imitation-and-reinforcement-learning-2110.06539</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-covariate-shift-of-latent-confounders-in-imitation-and-reinforcement-learning-2110.06539"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-covariate-shift-of-latent-confounders-in-imitation-and-reinforcement-learning-2110.06539"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-online-federated-learning-framework-for-nonlinear-regression-2110.06556</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-online-federated-learning-framework-for-nonlinear-regression-2110.06556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-online-federated-learning-framework-for-nonlinear-regression-2110.06556"/></url>
<url><loc>https://scifaro.com/en/abs/infinitely-divisible-noise-in-the-low-privacy-regime-2110.06559</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinitely-divisible-noise-in-the-low-privacy-regime-2110.06559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinitely-divisible-noise-in-the-low-privacy-regime-2110.06559"/></url>
<url><loc>https://scifaro.com/en/abs/one-to-multiple-mapping-dual-learning-learning-multiple-sources-from-one-mixed-signal-2110.06568</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-to-multiple-mapping-dual-learning-learning-multiple-sources-from-one-mixed-signal-2110.06568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-to-multiple-mapping-dual-learning-learning-multiple-sources-from-one-mixed-signal-2110.06568"/></url>
<url><loc>https://scifaro.com/en/abs/vibration-based-condition-monitoring-by-ensemble-deep-learning-2110.06601</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vibration-based-condition-monitoring-by-ensemble-deep-learning-2110.06601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vibration-based-condition-monitoring-by-ensemble-deep-learning-2110.06601"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-metallic-objects-using-spectral-magnetic-polarizability-tensor-signatures-object-classification-2110.06624</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-metallic-objects-using-spectral-magnetic-polarizability-tensor-signatures-object-classification-2110.06624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-metallic-objects-using-spectral-magnetic-polarizability-tensor-signatures-object-classification-2110.06624"/></url>
<url><loc>https://scifaro.com/en/abs/when-saliency-goes-off-on-a-tangent-interpreting-deep-neural-networks-with-nonlinear-saliency-maps-2110.06639</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-saliency-goes-off-on-a-tangent-interpreting-deep-neural-networks-with-nonlinear-saliency-maps-2110.06639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-saliency-goes-off-on-a-tangent-interpreting-deep-neural-networks-with-nonlinear-saliency-maps-2110.06639"/></url>
<url><loc>https://scifaro.com/en/abs/multistage-linguistic-conditioning-of-convolutional-layers-for-speech-emotion-recognition-2110.06650</loc><lastmod>2023-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multistage-linguistic-conditioning-of-convolutional-layers-for-speech-emotion-recognition-2110.06650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multistage-linguistic-conditioning-of-convolutional-layers-for-speech-emotion-recognition-2110.06650"/></url>
<url><loc>https://scifaro.com/en/abs/the-deep-generative-decoder-map-estimation-of-representations-improves-modeling-of-single-cell-rna-data-2110.06672</loc><lastmod>2024-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-deep-generative-decoder-map-estimation-of-representations-improves-modeling-of-single-cell-rna-data-2110.06672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-deep-generative-decoder-map-estimation-of-representations-improves-modeling-of-single-cell-rna-data-2110.06672"/></url>
<url><loc>https://scifaro.com/en/abs/expert-driven-trace-clustering-with-instance-level-constraints-2110.06703</loc><lastmod>2022-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expert-driven-trace-clustering-with-instance-level-constraints-2110.06703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expert-driven-trace-clustering-with-instance-level-constraints-2110.06703"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-parameter-combinations-that-matter-and-on-those-that-do-not-2110.06717</loc><lastmod>2022-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-parameter-combinations-that-matter-and-on-those-that-do-not-2110.06717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-parameter-combinations-that-matter-and-on-those-that-do-not-2110.06717"/></url>
<url><loc>https://scifaro.com/en/abs/dynamical-wasserstein-barycenters-for-time-series-modeling-2110.06741</loc><lastmod>2022-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamical-wasserstein-barycenters-for-time-series-modeling-2110.06741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamical-wasserstein-barycenters-for-time-series-modeling-2110.06741"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-the-deep-sea-treasure-problem-as-a-multi-objective-reinforcement-learning-benchmark-2110.06742</loc><lastmod>2024-05-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-the-deep-sea-treasure-problem-as-a-multi-objective-reinforcement-learning-benchmark-2110.06742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-the-deep-sea-treasure-problem-as-a-multi-objective-reinforcement-learning-benchmark-2110.06742"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-sample-efficiency-of-neural-architecture-search-with-reinforcement-learning-2110.06751</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-sample-efficiency-of-neural-architecture-search-with-reinforcement-learning-2110.06751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-sample-efficiency-of-neural-architecture-search-with-reinforcement-learning-2110.06751"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-attack-specific-signatures-in-adversarial-examples-2110.06802</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-attack-specific-signatures-in-adversarial-examples-2110.06802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-attack-specific-signatures-in-adversarial-examples-2110.06802"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-verification-of-wasserstein-adversarial-robustness-2110.06816</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-verification-of-wasserstein-adversarial-robustness-2110.06816"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-verification-of-wasserstein-adversarial-robustness-2110.06816"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-redundancy-in-attention-with-reuse-transformers-2110.06821</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-redundancy-in-attention-with-reuse-transformers-2110.06821"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-redundancy-in-attention-with-reuse-transformers-2110.06821"/></url>
<url><loc>https://scifaro.com/en/abs/decoupled-contrastive-learning-2110.06848</loc><lastmod>2023-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decoupled-contrastive-learning-2110.06848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decoupled-contrastive-learning-2110.06848"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-the-certified-robustness-of-l-infinity-distance-nets-2110.06850</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-the-certified-robustness-of-l-infinity-distance-nets-2110.06850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-the-certified-robustness-of-l-infinity-distance-nets-2110.06850"/></url>
<url><loc>https://scifaro.com/en/abs/fast-posterior-estimation-of-cardiac-electrophysiological-model-parameters-via-bayesian-active-learning-2110.06851</loc><lastmod>2021-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-posterior-estimation-of-cardiac-electrophysiological-model-parameters-via-bayesian-active-learning-2110.06851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-posterior-estimation-of-cardiac-electrophysiological-model-parameters-via-bayesian-active-learning-2110.06851"/></url>
<url><loc>https://scifaro.com/en/abs/two-argument-activation-functions-learn-soft-xor-operations-like-cortical-neurons-2110.06871</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-argument-activation-functions-learn-soft-xor-operations-like-cortical-neurons-2110.06871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-argument-activation-functions-learn-soft-xor-operations-like-cortical-neurons-2110.06871"/></url>
<url><loc>https://scifaro.com/en/abs/tag-toward-accurate-social-media-content-tagging-with-a-concept-graph-2110.06892</loc><lastmod>2022-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tag-toward-accurate-social-media-content-tagging-with-a-concept-graph-2110.06892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tag-toward-accurate-social-media-content-tagging-with-a-concept-graph-2110.06892"/></url>
<url><loc>https://scifaro.com/en/abs/newer-is-not-always-better-rethinking-transferability-metrics-their-peculiarities-stability-and-performance-2110.06893</loc><lastmod>2023-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/newer-is-not-always-better-rethinking-transferability-metrics-their-peculiarities-stability-and-performance-2110.06893"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/newer-is-not-always-better-rethinking-transferability-metrics-their-peculiarities-stability-and-performance-2110.06893"/></url>
<url><loc>https://scifaro.com/en/abs/per-etd-a-polynomially-efficient-emphatic-temporal-difference-learning-method-2110.06906</loc><lastmod>2022-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/per-etd-a-polynomially-efficient-emphatic-temporal-difference-learning-method-2110.06906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/per-etd-a-polynomially-efficient-emphatic-temporal-difference-learning-method-2110.06906"/></url>
<url><loc>https://scifaro.com/en/abs/what-happens-after-sgd-reaches-zero-loss-a-mathematical-framework-2110.06914</loc><lastmod>2022-07-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-happens-after-sgd-reaches-zero-loss-a-mathematical-framework-2110.06914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-happens-after-sgd-reaches-zero-loss-a-mathematical-framework-2110.06914"/></url>
<url><loc>https://scifaro.com/en/abs/extracting-dynamical-models-from-data-2110.06917</loc><lastmod>2024-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extracting-dynamical-models-from-data-2110.06917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extracting-dynamical-models-from-data-2110.06917"/></url>
<url><loc>https://scifaro.com/en/abs/block-contextual-mdps-for-continual-learning-2110.06972</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/block-contextual-mdps-for-continual-learning-2110.06972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/block-contextual-mdps-for-continual-learning-2110.06972"/></url>
<url><loc>https://scifaro.com/en/abs/representational-continuity-for-unsupervised-continual-learning-2110.06976</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representational-continuity-for-unsupervised-continual-learning-2110.06976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representational-continuity-for-unsupervised-continual-learning-2110.06976"/></url>
<url><loc>https://scifaro.com/en/abs/waffle-weighted-averaging-for-personalized-federated-learning-2110.06978</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/waffle-weighted-averaging-for-personalized-federated-learning-2110.06978"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/waffle-weighted-averaging-for-personalized-federated-learning-2110.06978"/></url>
<url><loc>https://scifaro.com/en/abs/output-space-entropy-search-framework-for-multi-objective-bayesian-optimization-2110.06980</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/output-space-entropy-search-framework-for-multi-objective-bayesian-optimization-2110.06980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/output-space-entropy-search-framework-for-multi-objective-bayesian-optimization-2110.06980"/></url>
<url><loc>https://scifaro.com/en/abs/bundle-networks-fiber-bundles-local-trivializations-and-a-generative-approach-to-exploring-many-to-one-maps-2110.06983</loc><lastmod>2022-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bundle-networks-fiber-bundles-local-trivializations-and-a-generative-approach-to-exploring-many-to-one-maps-2110.06983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bundle-networks-fiber-bundles-local-trivializations-and-a-generative-approach-to-exploring-many-to-one-maps-2110.06983"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-laws-for-the-few-shot-adaptation-of-pre-trained-image-classifiers-2110.06990</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-laws-for-the-few-shot-adaptation-of-pre-trained-image-classifiers-2110.06990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-laws-for-the-few-shot-adaptation-of-pre-trained-image-classifiers-2110.06990"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-graph-embedding-learningon-a-single-gpu-2110.06991</loc><lastmod>2022-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-graph-embedding-learningon-a-single-gpu-2110.06991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-graph-embedding-learningon-a-single-gpu-2110.06991"/></url>
<url><loc>https://scifaro.com/en/abs/sustainability-through-cognition-aware-safety-systems-next-level-human-machine-interaction-2110.07003</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sustainability-through-cognition-aware-safety-systems-next-level-human-machine-interaction-2110.07003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sustainability-through-cognition-aware-safety-systems-next-level-human-machine-interaction-2110.07003"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-theory-for-hessian-free-bilevel-algorithms-2110.07004</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-theory-for-hessian-free-bilevel-algorithms-2110.07004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-theory-for-hessian-free-bilevel-algorithms-2110.07004"/></url>
<url><loc>https://scifaro.com/en/abs/out-of-distribution-robustness-in-deep-learning-compression-2110.07007</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/out-of-distribution-robustness-in-deep-learning-compression-2110.07007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/out-of-distribution-robustness-in-deep-learning-compression-2110.07007"/></url>
<url><loc>https://scifaro.com/en/abs/ai-total-analyzing-security-ml-models-with-imperfect-data-in-production-2110.07028</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ai-total-analyzing-security-ml-models-with-imperfect-data-in-production-2110.07028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ai-total-analyzing-security-ml-models-with-imperfect-data-in-production-2110.07028"/></url>
<url><loc>https://scifaro.com/en/abs/how-does-momentum-benefit-deep-neural-networks-architecture-design-a-few-case-studies-2110.07034</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-does-momentum-benefit-deep-neural-networks-architecture-design-a-few-case-studies-2110.07034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-does-momentum-benefit-deep-neural-networks-architecture-design-a-few-case-studies-2110.07034"/></url>
<url><loc>https://scifaro.com/en/abs/bond-default-prediction-with-text-embeddings-undersampling-and-deep-learning-2110.07035</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bond-default-prediction-with-text-embeddings-undersampling-and-deep-learning-2110.07035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bond-default-prediction-with-text-embeddings-undersampling-and-deep-learning-2110.07035"/></url>
<url><loc>https://scifaro.com/en/abs/why-out-of-distribution-detection-in-cnns-does-not-like-mahalanobis-and-what-to-use-instead-2110.07043</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-out-of-distribution-detection-in-cnns-does-not-like-mahalanobis-and-what-to-use-instead-2110.07043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-out-of-distribution-detection-in-cnns-does-not-like-mahalanobis-and-what-to-use-instead-2110.07043"/></url>
<url><loc>https://scifaro.com/en/abs/deep-metric-learning-with-locality-sensitive-angular-loss-for-self-correcting-source-separation-of-neural-spiking-signals-2110.07046</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-metric-learning-with-locality-sensitive-angular-loss-for-self-correcting-source-separation-of-neural-spiking-signals-2110.07046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-metric-learning-with-locality-sensitive-angular-loss-for-self-correcting-source-separation-of-neural-spiking-signals-2110.07046"/></url>
<url><loc>https://scifaro.com/en/abs/variance-minimization-in-the-wasserstein-space-for-invariant-causal-prediction-2110.07064</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-minimization-in-the-wasserstein-space-for-invariant-causal-prediction-2110.07064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-minimization-in-the-wasserstein-space-for-invariant-causal-prediction-2110.07064"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-and-analysis-of-intermittent-federated-learning-over-cellular-connected-uav-networks-2110.07077</loc><lastmod>2022-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-and-analysis-of-intermittent-federated-learning-over-cellular-connected-uav-networks-2110.07077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-and-analysis-of-intermittent-federated-learning-over-cellular-connected-uav-networks-2110.07077"/></url>
<url><loc>https://scifaro.com/en/abs/making-corgis-important-for-honeycomb-classification-adversarial-attacks-on-concept-based-explainability-tools-2110.07120</loc><lastmod>2022-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/making-corgis-important-for-honeycomb-classification-adversarial-attacks-on-concept-based-explainability-tools-2110.07120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/making-corgis-important-for-honeycomb-classification-adversarial-attacks-on-concept-based-explainability-tools-2110.07120"/></url>
<url><loc>https://scifaro.com/en/abs/sogcn-second-order-graph-convolutional-networks-2110.07141</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sogcn-second-order-graph-convolutional-networks-2110.07141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sogcn-second-order-graph-convolutional-networks-2110.07141"/></url>
<url><loc>https://scifaro.com/en/abs/why-propagate-alone-parallel-use-of-labels-and-features-on-graphs-2110.07190</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-propagate-alone-parallel-use-of-labels-and-features-on-graphs-2110.07190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-propagate-alone-parallel-use-of-labels-and-features-on-graphs-2110.07190"/></url>
<url><loc>https://scifaro.com/en/abs/procrastinated-tree-search-black-box-optimization-with-delayed-noisy-and-multi-fidelity-feedback-2110.07232</loc><lastmod>2022-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/procrastinated-tree-search-black-box-optimization-with-delayed-noisy-and-multi-fidelity-feedback-2110.07232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/procrastinated-tree-search-black-box-optimization-with-delayed-noisy-and-multi-fidelity-feedback-2110.07232"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-difficulty-of-learning-chaotic-dynamics-with-rnns-2110.07238</loc><lastmod>2022-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-difficulty-of-learning-chaotic-dynamics-with-rnns-2110.07238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-difficulty-of-learning-chaotic-dynamics-with-rnns-2110.07238"/></url>
<url><loc>https://scifaro.com/en/abs/order-constraints-in-optimal-transport-2110.07275</loc><lastmod>2022-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/order-constraints-in-optimal-transport-2110.07275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/order-constraints-in-optimal-transport-2110.07275"/></url>
<url><loc>https://scifaro.com/en/abs/carousel-memory-rethinking-the-design-of-episodic-memory-for-continual-learning-2110.07276</loc><lastmod>2023-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/carousel-memory-rethinking-the-design-of-episodic-memory-for-continual-learning-2110.07276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/carousel-memory-rethinking-the-design-of-episodic-memory-for-continual-learning-2110.07276"/></url>
<url><loc>https://scifaro.com/en/abs/sign-and-relevance-learning-2110.07292</loc><lastmod>2023-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sign-and-relevance-learning-2110.07292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sign-and-relevance-learning-2110.07292"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-problems-are-not-multi-objective-2110.07301</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-problems-are-not-multi-objective-2110.07301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-problems-are-not-multi-objective-2110.07301"/></url>
<url><loc>https://scifaro.com/en/abs/di-aa-an-interpretable-white-box-attack-for-fooling-deep-neural-networks-2110.07305</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/di-aa-an-interpretable-white-box-attack-for-fooling-deep-neural-networks-2110.07305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/di-aa-an-interpretable-white-box-attack-for-fooling-deep-neural-networks-2110.07305"/></url>
<url><loc>https://scifaro.com/en/abs/regvd-revisiting-graph-neural-networks-for-vulnerability-detection-2110.07317</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regvd-revisiting-graph-neural-networks-for-vulnerability-detection-2110.07317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regvd-revisiting-graph-neural-networks-for-vulnerability-detection-2110.07317"/></url>
<url><loc>https://scifaro.com/en/abs/improved-drug-target-interaction-prediction-with-intermolecular-graph-transformer-2110.07347</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-drug-target-interaction-prediction-with-intermolecular-graph-transformer-2110.07347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-drug-target-interaction-prediction-with-intermolecular-graph-transformer-2110.07347"/></url>
<url><loc>https://scifaro.com/en/abs/music-playlist-title-generation-a-machine-translation-approach-2110.07354</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/music-playlist-title-generation-a-machine-translation-approach-2110.07354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/music-playlist-title-generation-a-machine-translation-approach-2110.07354"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-neural-networks-for-continuum-micromechanics-2110.07374</loc><lastmod>2022-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-neural-networks-for-continuum-micromechanics-2110.07374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-neural-networks-for-continuum-micromechanics-2110.07374"/></url>
<url><loc>https://scifaro.com/en/abs/the-neglected-sibling-isotropic-gaussian-posterior-for-vae-2110.07383</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-neglected-sibling-isotropic-gaussian-posterior-for-vae-2110.07383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-neglected-sibling-isotropic-gaussian-posterior-for-vae-2110.07383"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-multi-agent-reinforcement-learning-with-fully-decentralized-communication-2110.07392</loc><lastmod>2022-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-multi-agent-reinforcement-learning-with-fully-decentralized-communication-2110.07392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-multi-agent-reinforcement-learning-with-fully-decentralized-communication-2110.07392"/></url>
<url><loc>https://scifaro.com/en/abs/offline-reinforcement-learning-with-soft-behavior-regularization-2110.07395</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-reinforcement-learning-with-soft-behavior-regularization-2110.07395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-reinforcement-learning-with-soft-behavior-regularization-2110.07395"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-off-the-shelf-machine-listening-and-natural-language-models-for-automated-audio-captioning-2110.07410</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-off-the-shelf-machine-listening-and-natural-language-models-for-automated-audio-captioning-2110.07410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-off-the-shelf-machine-listening-and-natural-language-models-for-automated-audio-captioning-2110.07410"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-renewal-states-in-chains-of-variable-length-via-intrinsic-bayes-factors-2110.07430</loc><lastmod>2022-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-renewal-states-in-chains-of-variable-length-via-intrinsic-bayes-factors-2110.07430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-renewal-states-in-chains-of-variable-length-via-intrinsic-bayes-factors-2110.07430"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-differentially-private-empirical-risk-minimization-2110.07435</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-differentially-private-empirical-risk-minimization-2110.07435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-differentially-private-empirical-risk-minimization-2110.07435"/></url>
<url><loc>https://scifaro.com/en/abs/asymmetric-graph-representation-learning-2110.07436</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/asymmetric-graph-representation-learning-2110.07436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/asymmetric-graph-representation-learning-2110.07436"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-problems-leveraging-pre-trained-contrastive-representations-2110.07439</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-problems-leveraging-pre-trained-contrastive-representations-2110.07439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-problems-leveraging-pre-trained-contrastive-representations-2110.07439"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-quantum-classical-neural-network-for-cloud-supported-in-vehicle-cyberattack-detection-2110.07467</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-quantum-classical-neural-network-for-cloud-supported-in-vehicle-cyberattack-detection-2110.07467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-quantum-classical-neural-network-for-cloud-supported-in-vehicle-cyberattack-detection-2110.07467"/></url>
<url><loc>https://scifaro.com/en/abs/universally-rank-consistent-ordinal-regression-in-neural-networks-2110.07470</loc><lastmod>2022-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universally-rank-consistent-ordinal-regression-in-neural-networks-2110.07470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universally-rank-consistent-ordinal-regression-in-neural-networks-2110.07470"/></url>
<url><loc>https://scifaro.com/en/abs/capacity-of-group-invariant-linear-readouts-from-equivariant-representations-how-many-objects-can-be-linearly-classified-under-all-possible-views-2110.07472</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capacity-of-group-invariant-linear-readouts-from-equivariant-representations-how-many-objects-can-be-linearly-classified-under-all-possible-views-2110.07472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capacity-of-group-invariant-linear-readouts-from-equivariant-representations-how-many-objects-can-be-linearly-classified-under-all-possible-views-2110.07472"/></url>
<url><loc>https://scifaro.com/en/abs/vabo-violation-aware-bayesian-optimization-for-closed-loop-control-performance-optimization-with-unmodeled-constraints-2110.07479</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vabo-violation-aware-bayesian-optimization-for-closed-loop-control-performance-optimization-with-unmodeled-constraints-2110.07479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vabo-violation-aware-bayesian-optimization-for-closed-loop-control-performance-optimization-with-unmodeled-constraints-2110.07479"/></url>
<url><loc>https://scifaro.com/en/abs/omni-training-bridging-pre-training-and-meta-training-for-few-shot-learning-2110.07510</loc><lastmod>2022-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/omni-training-bridging-pre-training-and-meta-training-for-few-shot-learning-2110.07510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/omni-training-bridging-pre-training-and-meta-training-for-few-shot-learning-2110.07510"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-clustering-a-data-driven-analysis-of-mocle-mock-and-delta-mock-2110.07521</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-clustering-a-data-driven-analysis-of-mocle-mock-and-delta-mock-2110.07521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-clustering-a-data-driven-analysis-of-mocle-mock-and-delta-mock-2110.07521"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-clustering-for-human-behavior-pattern-mining-2110.07549</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-clustering-for-human-behavior-pattern-mining-2110.07549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-clustering-for-human-behavior-pattern-mining-2110.07549"/></url>
<url><loc>https://scifaro.com/en/abs/looper-an-end-to-end-ml-platform-for-product-decisions-2110.07554</loc><lastmod>2022-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/looper-an-end-to-end-ml-platform-for-product-decisions-2110.07554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/looper-an-end-to-end-ml-platform-for-product-decisions-2110.07554"/></url>
<url><loc>https://scifaro.com/en/abs/air-net-adaptive-and-implicit-regularization-neural-network-for-matrix-completion-2110.07557</loc><lastmod>2023-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/air-net-adaptive-and-implicit-regularization-neural-network-for-matrix-completion-2110.07557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/air-net-adaptive-and-implicit-regularization-neural-network-for-matrix-completion-2110.07557"/></url>
<url><loc>https://scifaro.com/en/abs/resource-constrained-federated-edge-learning-with-heterogeneous-data-formulation-and-analysis-2110.07567</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resource-constrained-federated-edge-learning-with-heterogeneous-data-formulation-and-analysis-2110.07567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resource-constrained-federated-edge-learning-with-heterogeneous-data-formulation-and-analysis-2110.07567"/></url>
<url><loc>https://scifaro.com/en/abs/mgc-a-complex-valued-graph-convolutional-network-for-directed-graphs-2110.07570</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mgc-a-complex-valued-graph-convolutional-network-for-directed-graphs-2110.07570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mgc-a-complex-valued-graph-convolutional-network-for-directed-graphs-2110.07570"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-normalizing-flow-2110.07579</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-normalizing-flow-2110.07579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-normalizing-flow-2110.07579"/></url>
<url><loc>https://scifaro.com/en/abs/graph-condensation-for-graph-neural-networks-2110.07580</loc><lastmod>2022-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-condensation-for-graph-neural-networks-2110.07580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-condensation-for-graph-neural-networks-2110.07580"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-of-full-waveform-inversion-connecting-cnn-and-partial-differential-equation-in-a-loop-2110.07584</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-of-full-waveform-inversion-connecting-cnn-and-partial-differential-equation-in-a-loop-2110.07584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-of-full-waveform-inversion-connecting-cnn-and-partial-differential-equation-in-a-loop-2110.07584"/></url>
<url><loc>https://scifaro.com/en/abs/the-neural-mmo-platform-for-massively-multiagent-research-2110.07594</loc><lastmod>2021-10-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-neural-mmo-platform-for-massively-multiagent-research-2110.07594"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-neural-mmo-platform-for-massively-multiagent-research-2110.07594"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-machine-learning-algorithms-for-detecting-ransomware-encryption-activity-2110.07636</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-machine-learning-algorithms-for-detecting-ransomware-encryption-activity-2110.07636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-machine-learning-algorithms-for-detecting-ransomware-encryption-activity-2110.07636"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-the-data-dependency-of-mixup-style-training-2110.07647</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-the-data-dependency-of-mixup-style-training-2110.07647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-the-data-dependency-of-mixup-style-training-2110.07647"/></url>
<url><loc>https://scifaro.com/en/abs/residual2vec-debiasing-graph-embedding-with-random-graphs-2110.07654</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual2vec-debiasing-graph-embedding-with-random-graphs-2110.07654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual2vec-debiasing-graph-embedding-with-random-graphs-2110.07654"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-solar-flares-with-remote-sensing-and-machine-learning-2110.07658</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-solar-flares-with-remote-sensing-and-machine-learning-2110.07658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-solar-flares-with-remote-sensing-and-machine-learning-2110.07658"/></url>
<url><loc>https://scifaro.com/en/abs/a-semi-supervised-approach-for-abnormal-event-prediction-on-large-operational-network-time-series-data-2110.07660</loc><lastmod>2025-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-semi-supervised-approach-for-abnormal-event-prediction-on-large-operational-network-time-series-data-2110.07660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-semi-supervised-approach-for-abnormal-event-prediction-on-large-operational-network-time-series-data-2110.07660"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-free-federated-learning-with-conformal-predictions-2110.07661</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-free-federated-learning-with-conformal-predictions-2110.07661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-free-federated-learning-with-conformal-predictions-2110.07661"/></url>
<url><loc>https://scifaro.com/en/abs/sound-and-complete-neural-network-repair-with-minimality-and-locality-guarantees-2110.07682</loc><lastmod>2022-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sound-and-complete-neural-network-repair-with-minimality-and-locality-guarantees-2110.07682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sound-and-complete-neural-network-repair-with-minimality-and-locality-guarantees-2110.07682"/></url>
<url><loc>https://scifaro.com/en/abs/don-t-knock-rowhammer-at-the-backdoor-of-dnn-models-2110.07683</loc><lastmod>2023-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/don-t-knock-rowhammer-at-the-backdoor-of-dnn-models-2110.07683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/don-t-knock-rowhammer-at-the-backdoor-of-dnn-models-2110.07683"/></url>
<url><loc>https://scifaro.com/en/abs/hindsight-network-credit-assignment-efficient-credit-assignment-in-networks-of-discrete-stochastic-units-2110.07700</loc><lastmod>2021-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hindsight-network-credit-assignment-efficient-credit-assignment-in-networks-of-discrete-stochastic-units-2110.07700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hindsight-network-credit-assignment-efficient-credit-assignment-in-networks-of-discrete-stochastic-units-2110.07700"/></url>
<url><loc>https://scifaro.com/en/abs/pre-training-molecular-graph-representation-with-3d-geometry-2110.07728</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pre-training-molecular-graph-representation-with-3d-geometry-2110.07728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pre-training-molecular-graph-representation-with-3d-geometry-2110.07728"/></url>
<url><loc>https://scifaro.com/en/abs/the-neural-data-router-adaptive-control-flow-in-transformers-improves-systematic-generalization-2110.07732</loc><lastmod>2022-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-neural-data-router-adaptive-control-flow-in-transformers-improves-systematic-generalization-2110.07732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-neural-data-router-adaptive-control-flow-in-transformers-improves-systematic-generalization-2110.07732"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-on-noisy-data-streams-via-self-purified-replay-2110.07735</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-on-noisy-data-streams-via-self-purified-replay-2110.07735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-on-noisy-data-streams-via-self-purified-replay-2110.07735"/></url>
<url><loc>https://scifaro.com/en/abs/attention-free-keyword-spotting-2110.07749</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-free-keyword-spotting-2110.07749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-free-keyword-spotting-2110.07749"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-spatial-and-temporal-correlations-in-sparsified-mean-estimation-2110.07751</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-spatial-and-temporal-correlations-in-sparsified-mean-estimation-2110.07751"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-spatial-and-temporal-correlations-in-sparsified-mean-estimation-2110.07751"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-causal-structure-learning-scoping-review-of-traditional-and-deep-learning-algorithms-and-new-opportunities-in-biomedicine-2110.07785</loc><lastmod>2023-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-causal-structure-learning-scoping-review-of-traditional-and-deep-learning-algorithms-and-new-opportunities-in-biomedicine-2110.07785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-causal-structure-learning-scoping-review-of-traditional-and-deep-learning-algorithms-and-new-opportunities-in-biomedicine-2110.07785"/></url>
<url><loc>https://scifaro.com/en/abs/learning-the-koopman-eigendecomposition-a-diffeomorphic-approach-2110.07786</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-the-koopman-eigendecomposition-a-diffeomorphic-approach-2110.07786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-the-koopman-eigendecomposition-a-diffeomorphic-approach-2110.07786"/></url>
<url><loc>https://scifaro.com/en/abs/provable-regret-bounds-for-deep-online-learning-and-control-2110.07807</loc><lastmod>2022-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-regret-bounds-for-deep-online-learning-and-control-2110.07807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-regret-bounds-for-deep-online-learning-and-control-2110.07807"/></url>
<url><loc>https://scifaro.com/en/abs/towards-statistical-and-computational-complexities-of-polyak-step-size-gradient-descent-2110.07810</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-statistical-and-computational-complexities-of-polyak-step-size-gradient-descent-2110.07810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-statistical-and-computational-complexities-of-polyak-step-size-gradient-descent-2110.07810"/></url>
<url><loc>https://scifaro.com/en/abs/on-extending-amdahl-s-law-to-learn-computer-performance-2110.07822</loc><lastmod>2022-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-extending-amdahl-s-law-to-learn-computer-performance-2110.07822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-extending-amdahl-s-law-to-learn-computer-performance-2110.07822"/></url>
<url><loc>https://scifaro.com/en/abs/fedseal-semi-supervised-federated-learning-with-self-ensemble-learning-and-negative-learning-2110.07829</loc><lastmod>2022-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedseal-semi-supervised-federated-learning-with-self-ensemble-learning-and-negative-learning-2110.07829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedseal-semi-supervised-federated-learning-with-self-ensemble-learning-and-negative-learning-2110.07829"/></url>
<url><loc>https://scifaro.com/en/abs/fold-r-a-scalable-toolset-for-automated-inductive-learning-of-default-theories-from-mixed-data-2110.07843</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fold-r-a-scalable-toolset-for-automated-inductive-learning-of-default-theories-from-mixed-data-2110.07843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fold-r-a-scalable-toolset-for-automated-inductive-learning-of-default-theories-from-mixed-data-2110.07843"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-improving-robustness-of-vision-transformers-through-patch-based-negative-augmentation-2110.07858</loc><lastmod>2023-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-improving-robustness-of-vision-transformers-through-patch-based-negative-augmentation-2110.07858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-improving-robustness-of-vision-transformers-through-patch-based-negative-augmentation-2110.07858"/></url>
<url><loc>https://scifaro.com/en/abs/fedme-federated-learning-via-model-exchange-2110.07868</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedme-federated-learning-via-model-exchange-2110.07868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedme-federated-learning-via-model-exchange-2110.07868"/></url>
<url><loc>https://scifaro.com/en/abs/dpgnn-dual-perception-graph-neural-network-for-representation-learning-2110.07869</loc><lastmod>2024-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dpgnn-dual-perception-graph-neural-network-for-representation-learning-2110.07869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dpgnn-dual-perception-graph-neural-network-for-representation-learning-2110.07869"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-with-learnable-structural-and-positional-representations-2110.07875</loc><lastmod>2022-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-with-learnable-structural-and-positional-representations-2110.07875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-with-learnable-structural-and-positional-representations-2110.07875"/></url>
<url><loc>https://scifaro.com/en/abs/ace-hgnn-adaptive-curvature-exploration-hyperbolic-graph-neural-network-2110.07888</loc><lastmod>2022-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ace-hgnn-adaptive-curvature-exploration-hyperbolic-graph-neural-network-2110.07888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ace-hgnn-adaptive-curvature-exploration-hyperbolic-graph-neural-network-2110.07888"/></url>
<url><loc>https://scifaro.com/en/abs/towards-better-plasticity-stability-trade-off-in-incremental-learning-a-simple-linear-connector-2110.07905</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-better-plasticity-stability-trade-off-in-incremental-learning-a-simple-linear-connector-2110.07905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-better-plasticity-stability-trade-off-in-incremental-learning-a-simple-linear-connector-2110.07905"/></url>
<url><loc>https://scifaro.com/en/abs/salina-sequential-learning-of-agents-2110.07910</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/salina-sequential-learning-of-agents-2110.07910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/salina-sequential-learning-of-agents-2110.07910"/></url>
<url><loc>https://scifaro.com/en/abs/value-penalized-q-learning-for-recommender-systems-2110.07923</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/value-penalized-q-learning-for-recommender-systems-2110.07923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/value-penalized-q-learning-for-recommender-systems-2110.07923"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-unsupervised-reinforcement-learning-2110.07940</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-unsupervised-reinforcement-learning-2110.07940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-unsupervised-reinforcement-learning-2110.07940"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-matrix-recovery-with-unknown-correspondence-2110.07959</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-matrix-recovery-with-unknown-correspondence-2110.07959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-matrix-recovery-with-unknown-correspondence-2110.07959"/></url>
<url><loc>https://scifaro.com/en/abs/reappraising-domain-generalization-in-neural-networks-2110.07981</loc><lastmod>2022-04-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reappraising-domain-generalization-in-neural-networks-2110.07981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reappraising-domain-generalization-in-neural-networks-2110.07981"/></url>
<url><loc>https://scifaro.com/en/abs/on-policy-model-errors-in-reinforcement-learning-2110.07985</loc><lastmod>2022-03-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-policy-model-errors-in-reinforcement-learning-2110.07985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-policy-model-errors-in-reinforcement-learning-2110.07985"/></url>
<url><loc>https://scifaro.com/en/abs/magnet-uniform-sampling-from-deep-generative-network-manifolds-without-retraining-2110.08009</loc><lastmod>2022-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/magnet-uniform-sampling-from-deep-generative-network-manifolds-without-retraining-2110.08009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/magnet-uniform-sampling-from-deep-generative-network-manifolds-without-retraining-2110.08009"/></url>
<url><loc>https://scifaro.com/en/abs/streamult-streaming-multimodal-transformer-for-heterogeneous-and-arbitrary-long-sequential-data-2110.08021</loc><lastmod>2024-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/streamult-streaming-multimodal-transformer-for-heterogeneous-and-arbitrary-long-sequential-data-2110.08021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/streamult-streaming-multimodal-transformer-for-heterogeneous-and-arbitrary-long-sequential-data-2110.08021"/></url>
<url><loc>https://scifaro.com/en/abs/improving-hyperparameter-optimization-by-planning-ahead-2110.08028</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-hyperparameter-optimization-by-planning-ahead-2110.08028"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-hyperparameter-optimization-by-planning-ahead-2110.08028"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-incorrect-classifications-with-balanced-uncertainty-2110.08030</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-incorrect-classifications-with-balanced-uncertainty-2110.08030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-incorrect-classifications-with-balanced-uncertainty-2110.08030"/></url>
<url><loc>https://scifaro.com/en/abs/almost-optimal-batch-regret-tradeoff-for-batch-linear-contextual-bandits-2110.08057</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/almost-optimal-batch-regret-tradeoff-for-batch-linear-contextual-bandits-2110.08057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/almost-optimal-batch-regret-tradeoff-for-batch-linear-contextual-bandits-2110.08057"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-local-specialization-in-deep-neural-networks-2110.08058</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-local-specialization-in-deep-neural-networks-2110.08058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-local-specialization-in-deep-neural-networks-2110.08058"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-on-infinitely-wide-neural-networks-global-convergence-and-generalization-2110.08084</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-on-infinitely-wide-neural-networks-global-convergence-and-generalization-2110.08084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-on-infinitely-wide-neural-networks-global-convergence-and-generalization-2110.08084"/></url>
<url><loc>https://scifaro.com/en/abs/equivariant-and-invariant-reynolds-networks-2110.08092</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivariant-and-invariant-reynolds-networks-2110.08092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivariant-and-invariant-reynolds-networks-2110.08092"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-evolutionary-multi-objective-clustering-approaches-2110.08100</loc><lastmod>2022-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-evolutionary-multi-objective-clustering-approaches-2110.08100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-evolutionary-multi-objective-clustering-approaches-2110.08100"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-neural-networks-with-frank-wolfe-sparse-relevance-maps-and-relevance-orderings-2110.08105</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-neural-networks-with-frank-wolfe-sparse-relevance-maps-and-relevance-orderings-2110.08105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-neural-networks-with-frank-wolfe-sparse-relevance-maps-and-relevance-orderings-2110.08105"/></url>
<url><loc>https://scifaro.com/en/abs/label-wise-graph-convolutional-network-for-heterophilic-graphs-2110.08128</loc><lastmod>2023-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-wise-graph-convolutional-network-for-heterophilic-graphs-2110.08128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-wise-graph-convolutional-network-for-heterophilic-graphs-2110.08128"/></url>
<url><loc>https://scifaro.com/en/abs/trade-offs-of-local-sgd-at-scale-an-empirical-study-2110.08133</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trade-offs-of-local-sgd-at-scale-an-empirical-study-2110.08133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trade-offs-of-local-sgd-at-scale-an-empirical-study-2110.08133"/></url>
<url><loc>https://scifaro.com/en/abs/containerized-distributed-value-based-multi-agent-reinforcement-learning-2110.08169</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/containerized-distributed-value-based-multi-agent-reinforcement-learning-2110.08169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/containerized-distributed-value-based-multi-agent-reinforcement-learning-2110.08169"/></url>
<url><loc>https://scifaro.com/en/abs/collaborating-with-humans-without-human-data-2110.08176</loc><lastmod>2022-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborating-with-humans-without-human-data-2110.08176"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborating-with-humans-without-human-data-2110.08176"/></url>
<url><loc>https://scifaro.com/en/abs/propagation-on-multi-relational-graphs-for-node-regression-2110.08185</loc><lastmod>2021-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/propagation-on-multi-relational-graphs-for-node-regression-2110.08185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/propagation-on-multi-relational-graphs-for-node-regression-2110.08185"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-hyperparameter-optimization-approaches-in-an-industrial-federated-learning-system-2110.08202</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-hyperparameter-optimization-approaches-in-an-industrial-federated-learning-system-2110.08202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-hyperparameter-optimization-approaches-in-an-industrial-federated-learning-system-2110.08202"/></url>
<url><loc>https://scifaro.com/en/abs/shared-visual-representations-of-drawing-for-communication-how-do-different-biases-affect-human-interpretability-and-intent-2110.08203</loc><lastmod>2022-01-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shared-visual-representations-of-drawing-for-communication-how-do-different-biases-affect-human-interpretability-and-intent-2110.08203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shared-visual-representations-of-drawing-for-communication-how-do-different-biases-affect-human-interpretability-and-intent-2110.08203"/></url>
<url><loc>https://scifaro.com/en/abs/multitask-prompted-training-enables-zero-shot-task-generalization-2110.08207</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multitask-prompted-training-enables-zero-shot-task-generalization-2110.08207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multitask-prompted-training-enables-zero-shot-task-generalization-2110.08207"/></url>
<url><loc>https://scifaro.com/en/abs/nnk-means-data-summarization-using-dictionary-learning-with-non-negative-kernel-regression-2110.08212</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nnk-means-data-summarization-using-dictionary-learning-with-non-negative-kernel-regression-2110.08212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nnk-means-data-summarization-using-dictionary-learning-with-non-negative-kernel-regression-2110.08212"/></url>
<url><loc>https://scifaro.com/en/abs/combining-diverse-feature-priors-2110.08220</loc><lastmod>2022-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-diverse-feature-priors-2110.08220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-diverse-feature-priors-2110.08220"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-missing-value-imputation-and-structure-learning-with-groups-2110.08223</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-missing-value-imputation-and-structure-learning-with-groups-2110.08223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-missing-value-imputation-and-structure-learning-with-groups-2110.08223"/></url>
<url><loc>https://scifaro.com/en/abs/guiding-visual-question-generation-2110.08226</loc><lastmod>2022-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guiding-visual-question-generation-2110.08226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guiding-visual-question-generation-2110.08226"/></url>
<url><loc>https://scifaro.com/en/abs/learn-proportional-derivative-controllable-latent-space-from-pixels-2110.08239</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-proportional-derivative-controllable-latent-space-from-pixels-2110.08239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-proportional-derivative-controllable-latent-space-from-pixels-2110.08239"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-time-series-forecasts-with-autoregressive-transformation-models-2110.08248</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-time-series-forecasts-with-autoregressive-transformation-models-2110.08248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-time-series-forecasts-with-autoregressive-transformation-models-2110.08248"/></url>
<url><loc>https://scifaro.com/en/abs/a-rate-distortion-framework-for-explaining-black-box-model-decisions-2110.08252</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-rate-distortion-framework-for-explaining-black-box-model-decisions-2110.08252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-rate-distortion-framework-for-explaining-black-box-model-decisions-2110.08252"/></url>
<url><loc>https://scifaro.com/en/abs/a-field-guide-to-scientific-xai-transparent-and-interpretable-deep-learning-for-bioinformatics-research-2110.08253</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-field-guide-to-scientific-xai-transparent-and-interpretable-deep-learning-for-bioinformatics-research-2110.08253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-field-guide-to-scientific-xai-transparent-and-interpretable-deep-learning-for-bioinformatics-research-2110.08253"/></url>
<url><loc>https://scifaro.com/en/abs/inconsistent-few-shot-relation-classification-via-cross-attentional-prototype-networks-with-contrastive-learning-2110.08254</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inconsistent-few-shot-relation-classification-via-cross-attentional-prototype-networks-with-contrastive-learning-2110.08254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inconsistent-few-shot-relation-classification-via-cross-attentional-prototype-networks-with-contrastive-learning-2110.08254"/></url>
<url><loc>https://scifaro.com/en/abs/yformer-u-net-inspired-transformer-architecture-for-far-horizon-time-series-forecasting-2110.08255</loc><lastmod>2022-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/yformer-u-net-inspired-transformer-architecture-for-far-horizon-time-series-forecasting-2110.08255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/yformer-u-net-inspired-transformer-architecture-for-far-horizon-time-series-forecasting-2110.08255"/></url>
<url><loc>https://scifaro.com/en/abs/model-agnostic-meta-attack-towards-reliable-evaluation-of-adversarial-robustness-2110.08256</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-agnostic-meta-attack-towards-reliable-evaluation-of-adversarial-robustness-2110.08256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-agnostic-meta-attack-towards-reliable-evaluation-of-adversarial-robustness-2110.08256"/></url>
<url><loc>https://scifaro.com/en/abs/c-allout-catching-calling-outliers-by-type-2110.08257</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/c-allout-catching-calling-outliers-by-type-2110.08257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/c-allout-catching-calling-outliers-by-type-2110.08257"/></url>
<url><loc>https://scifaro.com/en/abs/a-framework-for-learning-to-request-rich-and-contextually-useful-information-from-humans-2110.08258</loc><lastmod>2022-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-framework-for-learning-to-request-rich-and-contextually-useful-information-from-humans-2110.08258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-framework-for-learning-to-request-rich-and-contextually-useful-information-from-humans-2110.08258"/></url>
<url><loc>https://scifaro.com/en/abs/training-neural-networks-for-solving-1-d-optimal-piecewise-linear-approximation-2110.08259</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-neural-networks-for-solving-1-d-optimal-piecewise-linear-approximation-2110.08259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-neural-networks-for-solving-1-d-optimal-piecewise-linear-approximation-2110.08259"/></url>
<url><loc>https://scifaro.com/en/abs/abstract-interpretation-of-fixpoint-iterators-with-applications-to-neural-networks-2110.08260</loc><lastmod>2023-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abstract-interpretation-of-fixpoint-iterators-with-applications-to-neural-networks-2110.08260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abstract-interpretation-of-fixpoint-iterators-with-applications-to-neural-networks-2110.08260"/></url>
<url><loc>https://scifaro.com/en/abs/flexmatch-boosting-semi-supervised-learning-with-curriculum-pseudo-labeling-2110.08263</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexmatch-boosting-semi-supervised-learning-with-curriculum-pseudo-labeling-2110.08263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexmatch-boosting-semi-supervised-learning-with-curriculum-pseudo-labeling-2110.08263"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-contrastive-attributed-graph-clustering-2110.08264</loc><lastmod>2023-05-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-contrastive-attributed-graph-clustering-2110.08264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-contrastive-attributed-graph-clustering-2110.08264"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-driven-active-learning-2110.08265</loc><lastmod>2023-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-driven-active-learning-2110.08265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-driven-active-learning-2110.08265"/></url>
<url><loc>https://scifaro.com/en/abs/pg-2-net-personalized-and-group-preferences-guided-network-for-next-place-prediction-2110.08266</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pg-2-net-personalized-and-group-preferences-guided-network-for-next-place-prediction-2110.08266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pg-2-net-personalized-and-group-preferences-guided-network-for-next-place-prediction-2110.08266"/></url>
<url><loc>https://scifaro.com/en/abs/from-multimodal-to-unimodal-attention-in-transformers-using-knowledge-distillation-2110.08270</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-multimodal-to-unimodal-attention-in-transformers-using-knowledge-distillation-2110.08270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-multimodal-to-unimodal-attention-in-transformers-using-knowledge-distillation-2110.08270"/></url>
<url><loc>https://scifaro.com/en/abs/training-deep-neural-networks-with-joint-quantization-and-pruning-of-weights-and-activations-2110.08271</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-deep-neural-networks-with-joint-quantization-and-pruning-of-weights-and-activations-2110.08271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-deep-neural-networks-with-joint-quantization-and-pruning-of-weights-and-activations-2110.08271"/></url>
<url><loc>https://scifaro.com/en/abs/tree-based-local-explanations-of-machine-learning-model-predictions-araucanaxai-2110.08272</loc><lastmod>2023-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tree-based-local-explanations-of-machine-learning-model-predictions-araucanaxai-2110.08272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tree-based-local-explanations-of-machine-learning-model-predictions-araucanaxai-2110.08272"/></url>
<url><loc>https://scifaro.com/en/abs/memory-augmented-adversarial-autoencoders-for-multivariate-time-series-anomaly-detection-with-deep-reconstruction-and-prediction-2110.08306</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-augmented-adversarial-autoencoders-for-multivariate-time-series-anomaly-detection-with-deep-reconstruction-and-prediction-2110.08306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-augmented-adversarial-autoencoders-for-multivariate-time-series-anomaly-detection-with-deep-reconstruction-and-prediction-2110.08306"/></url>
<url><loc>https://scifaro.com/en/abs/growspace-learning-how-to-shape-plants-2110.08307</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/growspace-learning-how-to-shape-plants-2110.08307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/growspace-learning-how-to-shape-plants-2110.08307"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-privacy-preserving-inference-for-convolutional-neural-networks-2110.08321</loc><lastmod>2022-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-privacy-preserving-inference-for-convolutional-neural-networks-2110.08321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-privacy-preserving-inference-for-convolutional-neural-networks-2110.08321"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-of-different-loss-functions-and-their-impact-on-networks-learning-capability-2110.08322</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-of-different-loss-functions-and-their-impact-on-networks-learning-capability-2110.08322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-of-different-loss-functions-and-their-impact-on-networks-learning-capability-2110.08322"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-the-transformer-kernel-2110.08323</loc><lastmod>2022-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-the-transformer-kernel-2110.08323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-the-transformer-kernel-2110.08323"/></url>
<url><loc>https://scifaro.com/en/abs/nothing-wasted-full-contribution-enforcement-in-federated-edge-learning-2110.08330</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nothing-wasted-full-contribution-enforcement-in-federated-edge-learning-2110.08330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nothing-wasted-full-contribution-enforcement-in-federated-edge-learning-2110.08330"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-approach-for-interpretability-and-reliability-in-clinical-risk-prediction-acute-coronary-syndrome-scenario-2110.08331</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-approach-for-interpretability-and-reliability-in-clinical-risk-prediction-acute-coronary-syndrome-scenario-2110.08331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-approach-for-interpretability-and-reliability-in-clinical-risk-prediction-acute-coronary-syndrome-scenario-2110.08331"/></url>
<url><loc>https://scifaro.com/en/abs/exploratory-lagrangian-based-particle-tracing-using-deep-learning-2110.08338</loc><lastmod>2022-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploratory-lagrangian-based-particle-tracing-using-deep-learning-2110.08338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploratory-lagrangian-based-particle-tracing-using-deep-learning-2110.08338"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-network-pruning-for-microcontrollers-2110.08350</loc><lastmod>2022-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-network-pruning-for-microcontrollers-2110.08350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-network-pruning-for-microcontrollers-2110.08350"/></url>
<url><loc>https://scifaro.com/en/abs/fedsld-federated-learning-with-shared-label-distribution-for-medical-image-classification-2110.08378</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedsld-federated-learning-with-shared-label-distribution-for-medical-image-classification-2110.08378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedsld-federated-learning-with-shared-label-distribution-for-medical-image-classification-2110.08378"/></url>
<url><loc>https://scifaro.com/en/abs/a-neural-network-ensemble-approach-to-system-identification-2110.08382</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-neural-network-ensemble-approach-to-system-identification-2110.08382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-neural-network-ensemble-approach-to-system-identification-2110.08382"/></url>
<url><loc>https://scifaro.com/en/abs/adapt-to-adaptation-learning-personalization-for-cross-silo-federated-learning-2110.08394</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapt-to-adaptation-learning-personalization-for-cross-silo-federated-learning-2110.08394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapt-to-adaptation-learning-personalization-for-cross-silo-federated-learning-2110.08394"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-and-invariance-boosted-contrastive-learning-for-data-scarce-applications-in-science-2110.08406</loc><lastmod>2022-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-and-invariance-boosted-contrastive-learning-for-data-scarce-applications-in-science-2110.08406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-and-invariance-boosted-contrastive-learning-for-data-scarce-applications-in-science-2110.08406"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-with-adjoint-methods-2110.08432</loc><lastmod>2023-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-with-adjoint-methods-2110.08432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-with-adjoint-methods-2110.08432"/></url>
<url><loc>https://scifaro.com/en/abs/online-target-q-learning-with-reverse-experience-replay-efficiently-finding-the-optimal-policy-for-linear-mdps-2110.08440</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-target-q-learning-with-reverse-experience-replay-efficiently-finding-the-optimal-policy-for-linear-mdps-2110.08440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-target-q-learning-with-reverse-experience-replay-efficiently-finding-the-optimal-policy-for-linear-mdps-2110.08440"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-training-and-inference-of-graph-neural-networks-with-fast-sampling-and-pipelining-2110.08450</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-training-and-inference-of-graph-neural-networks-with-fast-sampling-and-pipelining-2110.08450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-training-and-inference-of-graph-neural-networks-with-fast-sampling-and-pipelining-2110.08450"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-graph-based-multimodal-brain-network-learning-2110.08465</loc><lastmod>2022-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-graph-based-multimodal-brain-network-learning-2110.08465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-graph-based-multimodal-brain-network-learning-2110.08465"/></url>
<url><loc>https://scifaro.com/en/abs/fedmm-saddle-point-optimization-for-federated-adversarial-domain-adaptation-2110.08477</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedmm-saddle-point-optimization-for-federated-adversarial-domain-adaptation-2110.08477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedmm-saddle-point-optimization-for-federated-adversarial-domain-adaptation-2110.08477"/></url>
<url><loc>https://scifaro.com/en/abs/extremely-simple-streaming-forest-2110.08483</loc><lastmod>2025-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extremely-simple-streaming-forest-2110.08483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extremely-simple-streaming-forest-2110.08483"/></url>
<url><loc>https://scifaro.com/en/abs/dfw-pp-dynamic-feature-weighting-based-popularity-prediction-for-social-media-content-2110.08510</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dfw-pp-dynamic-feature-weighting-based-popularity-prediction-for-social-media-content-2110.08510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dfw-pp-dynamic-feature-weighting-based-popularity-prediction-for-social-media-content-2110.08510"/></url>
<url><loc>https://scifaro.com/en/abs/dpnas-neural-architecture-search-for-deep-learning-with-differential-privacy-2110.08557</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dpnas-neural-architecture-search-for-deep-learning-with-differential-privacy-2110.08557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dpnas-neural-architecture-search-for-deep-learning-with-differential-privacy-2110.08557"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-graph-echo-state-networks-2110.08565</loc><lastmod>2022-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-graph-echo-state-networks-2110.08565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-graph-echo-state-networks-2110.08565"/></url>
<url><loc>https://scifaro.com/en/abs/mapping-illegal-waste-dumping-sites-with-neural-network-classification-of-satellite-imagery-2110.08599</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mapping-illegal-waste-dumping-sites-with-neural-network-classification-of-satellite-imagery-2110.08599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mapping-illegal-waste-dumping-sites-with-neural-network-classification-of-satellite-imagery-2110.08599"/></url>
<url><loc>https://scifaro.com/en/abs/physics-guided-deep-markov-models-for-learning-nonlinear-dynamical-systems-with-uncertainty-2110.08607</loc><lastmod>2022-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-guided-deep-markov-models-for-learning-nonlinear-dynamical-systems-with-uncertainty-2110.08607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-guided-deep-markov-models-for-learning-nonlinear-dynamical-systems-with-uncertainty-2110.08607"/></url>
<url><loc>https://scifaro.com/en/abs/deep-active-learning-by-leveraging-training-dynamics-2110.08611</loc><lastmod>2022-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-active-learning-by-leveraging-training-dynamics-2110.08611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-active-learning-by-leveraging-training-dynamics-2110.08611"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-and-spectral-embedding-for-graph-partitioning-2110.08614</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-and-spectral-embedding-for-graph-partitioning-2110.08614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-and-spectral-embedding-for-graph-partitioning-2110.08614"/></url>
<url><loc>https://scifaro.com/en/abs/gradsign-model-performance-inference-with-theoretical-insights-2110.08616</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradsign-model-performance-inference-with-theoretical-insights-2110.08616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradsign-model-performance-inference-with-theoretical-insights-2110.08616"/></url>
<url><loc>https://scifaro.com/en/abs/learning-velocity-model-for-complex-media-with-deep-convolutional-neural-networks-2110.08626</loc><lastmod>2024-05-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-velocity-model-for-complex-media-with-deep-convolutional-neural-networks-2110.08626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-velocity-model-for-complex-media-with-deep-convolutional-neural-networks-2110.08626"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-the-pareto-frontier-of-regret-minimization-and-best-arm-identification-in-multi-armed-bandits-2110.08627</loc><lastmod>2023-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-the-pareto-frontier-of-regret-minimization-and-best-arm-identification-in-multi-armed-bandits-2110.08627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-the-pareto-frontier-of-regret-minimization-and-best-arm-identification-in-multi-armed-bandits-2110.08627"/></url>
<url><loc>https://scifaro.com/en/abs/local-advantage-actor-critic-for-robust-multi-agent-deep-reinforcement-learning-2110.08642</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-advantage-actor-critic-for-robust-multi-agent-deep-reinforcement-learning-2110.08642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-advantage-actor-critic-for-robust-multi-agent-deep-reinforcement-learning-2110.08642"/></url>
<url><loc>https://scifaro.com/en/abs/equivariant-finite-normalizing-flows-2110.08649</loc><lastmod>2022-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivariant-finite-normalizing-flows-2110.08649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivariant-finite-normalizing-flows-2110.08649"/></url>
<url><loc>https://scifaro.com/en/abs/improving-transformers-with-probabilistic-attention-keys-2110.08678</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-transformers-with-probabilistic-attention-keys-2110.08678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-transformers-with-probabilistic-attention-keys-2110.08678"/></url>
<url><loc>https://scifaro.com/en/abs/mg-gcn-scalable-multi-gpu-gcn-training-framework-2110.08688</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mg-gcn-scalable-multi-gpu-gcn-training-framework-2110.08688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mg-gcn-scalable-multi-gpu-gcn-training-framework-2110.08688"/></url>
<url><loc>https://scifaro.com/en/abs/classical-to-quantum-transfer-learning-for-spoken-command-recognition-based-on-quantum-neural-networks-2110.08689</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classical-to-quantum-transfer-learning-for-spoken-command-recognition-based-on-quantum-neural-networks-2110.08689"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classical-to-quantum-transfer-learning-for-spoken-command-recognition-based-on-quantum-neural-networks-2110.08689"/></url>
<url><loc>https://scifaro.com/en/abs/tackling-the-imbalance-for-gnns-2110.08690</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tackling-the-imbalance-for-gnns-2110.08690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tackling-the-imbalance-for-gnns-2110.08690"/></url>
<url><loc>https://scifaro.com/en/abs/elastic-shape-analysis-of-tree-like-3d-objects-using-extended-srvf-representation-2110.08693</loc><lastmod>2023-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elastic-shape-analysis-of-tree-like-3d-objects-using-extended-srvf-representation-2110.08693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elastic-shape-analysis-of-tree-like-3d-objects-using-extended-srvf-representation-2110.08693"/></url>
<url><loc>https://scifaro.com/en/abs/towards-instance-optimal-offline-reinforcement-learning-with-pessimism-2110.08695</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-instance-optimal-offline-reinforcement-learning-with-pessimism-2110.08695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-instance-optimal-offline-reinforcement-learning-with-pessimism-2110.08695"/></url>
<url><loc>https://scifaro.com/en/abs/neuralarts-structuring-neural-architecture-search-with-type-theory-2110.08710</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuralarts-structuring-neural-architecture-search-with-type-theory-2110.08710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuralarts-structuring-neural-architecture-search-with-type-theory-2110.08710"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-adversarial-attacks-on-network-wide-multi-step-traffic-state-prediction-models-2110.08712</loc><lastmod>2024-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-adversarial-attacks-on-network-wide-multi-step-traffic-state-prediction-models-2110.08712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-adversarial-attacks-on-network-wide-multi-step-traffic-state-prediction-models-2110.08712"/></url>
<url><loc>https://scifaro.com/en/abs/hand-gesture-recognition-using-temporal-convolutions-and-attention-mechanism-2110.08717</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hand-gesture-recognition-using-temporal-convolutions-and-attention-mechanism-2110.08717"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hand-gesture-recognition-using-temporal-convolutions-and-attention-mechanism-2110.08717"/></url>
<url><loc>https://scifaro.com/en/abs/centroid-approximation-for-bootstrap-improving-particle-quality-at-inference-2110.08720</loc><lastmod>2022-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/centroid-approximation-for-bootstrap-improving-particle-quality-at-inference-2110.08720"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/centroid-approximation-for-bootstrap-improving-particle-quality-at-inference-2110.08720"/></url>
<url><loc>https://scifaro.com/en/abs/a-riemannian-mean-field-formulation-for-two-layer-neural-networks-with-batch-normalization-2110.08725</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-riemannian-mean-field-formulation-for-two-layer-neural-networks-with-batch-normalization-2110.08725"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-riemannian-mean-field-formulation-for-two-layer-neural-networks-with-batch-normalization-2110.08725"/></url>
<url><loc>https://scifaro.com/en/abs/graph-less-neural-networks-teaching-old-mlps-new-tricks-via-distillation-2110.08727</loc><lastmod>2022-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-less-neural-networks-teaching-old-mlps-new-tricks-via-distillation-2110.08727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-less-neural-networks-teaching-old-mlps-new-tricks-via-distillation-2110.08727"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-membership-inference-attacks-to-gnn-for-graph-classification-approaches-and-implications-2110.08760</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-membership-inference-attacks-to-gnn-for-graph-classification-approaches-and-implications-2110.08760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-membership-inference-attacks-to-gnn-for-graph-classification-approaches-and-implications-2110.08760"/></url>
<url><loc>https://scifaro.com/en/abs/s-cyc-a-learning-rate-schedule-for-iterative-pruning-of-relu-based-networks-2110.08764</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/s-cyc-a-learning-rate-schedule-for-iterative-pruning-of-relu-based-networks-2110.08764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/s-cyc-a-learning-rate-schedule-for-iterative-pruning-of-relu-based-networks-2110.08764"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-knowledge-graph-reasoning-triggered-by-memories-2110.08765</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-knowledge-graph-reasoning-triggered-by-memories-2110.08765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-knowledge-graph-reasoning-triggered-by-memories-2110.08765"/></url>
<url><loc>https://scifaro.com/en/abs/towards-better-long-range-time-series-forecasting-using-generative-adversarial-networks-2110.08770</loc><lastmod>2022-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-better-long-range-time-series-forecasting-using-generative-adversarial-networks-2110.08770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-better-long-range-time-series-forecasting-using-generative-adversarial-networks-2110.08770"/></url>
<url><loc>https://scifaro.com/en/abs/an-lstm-based-plagiarism-detection-via-attention-mechanism-and-a-population-based-approach-for-pre-training-parameters-with-imbalanced-classes-2110.08771</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-lstm-based-plagiarism-detection-via-attention-mechanism-and-a-population-based-approach-for-pre-training-parameters-with-imbalanced-classes-2110.08771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-lstm-based-plagiarism-detection-via-attention-mechanism-and-a-population-based-approach-for-pre-training-parameters-with-imbalanced-classes-2110.08771"/></url>
<url><loc>https://scifaro.com/en/abs/on-board-fault-diagnosis-of-a-laboratory-mini-sr-30-gas-turbine-engine-2110.08820</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-board-fault-diagnosis-of-a-laboratory-mini-sr-30-gas-turbine-engine-2110.08820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-board-fault-diagnosis-of-a-laboratory-mini-sr-30-gas-turbine-engine-2110.08820"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-deep-neural-networks-on-edge-tpu-2110.08826</loc><lastmod>2023-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-deep-neural-networks-on-edge-tpu-2110.08826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-deep-neural-networks-on-edge-tpu-2110.08826"/></url>
<url><loc>https://scifaro.com/en/abs/provable-rl-with-exogenous-distractors-via-multistep-inverse-dynamics-2110.08847</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-rl-with-exogenous-distractors-via-multistep-inverse-dynamics-2110.08847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-rl-with-exogenous-distractors-via-multistep-inverse-dynamics-2110.08847"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-representation-learning-for-binary-networks-by-joint-classifier-learning-2110.08851</loc><lastmod>2022-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-representation-learning-for-binary-networks-by-joint-classifier-learning-2110.08851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-representation-learning-for-binary-networks-by-joint-classifier-learning-2110.08851"/></url>
<url><loc>https://scifaro.com/en/abs/growing-representation-learning-2110.08857</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/growing-representation-learning-2110.08857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/growing-representation-learning-2110.08857"/></url>
<url><loc>https://scifaro.com/en/abs/expectation-distance-based-distributional-clustering-for-noise-robustness-2110.08871</loc><lastmod>2023-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expectation-distance-based-distributional-clustering-for-noise-robustness-2110.08871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expectation-distance-based-distributional-clustering-for-noise-robustness-2110.08871"/></url>
<url><loc>https://scifaro.com/en/abs/damped-anderson-mixing-for-deep-reinforcement-learning-acceleration-convergence-and-stabilization-2110.08896</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/damped-anderson-mixing-for-deep-reinforcement-learning-acceleration-convergence-and-stabilization-2110.08896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/damped-anderson-mixing-for-deep-reinforcement-learning-acceleration-convergence-and-stabilization-2110.08896"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-experience-replay-in-policy-optimization-characterizing-bias-variance-and-finite-time-convergence-2110.08902</loc><lastmod>2026-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-experience-replay-in-policy-optimization-characterizing-bias-variance-and-finite-time-convergence-2110.08902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-experience-replay-in-policy-optimization-characterizing-bias-variance-and-finite-time-convergence-2110.08902"/></url>
<url><loc>https://scifaro.com/en/abs/using-clinical-drug-representations-for-improving-mortality-and-length-of-stay-predictions-2110.08918</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-clinical-drug-representations-for-improving-mortality-and-length-of-stay-predictions-2110.08918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-clinical-drug-representations-for-improving-mortality-and-length-of-stay-predictions-2110.08918"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-generalization-in-deep-learning-progress-and-fundamental-limits-2110.08922</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-generalization-in-deep-learning-progress-and-fundamental-limits-2110.08922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-generalization-in-deep-learning-progress-and-fundamental-limits-2110.08922"/></url>
<url><loc>https://scifaro.com/en/abs/a-dual-approach-to-constrained-markov-decision-processes-with-entropy-regularization-2110.08923</loc><lastmod>2023-04-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dual-approach-to-constrained-markov-decision-processes-with-entropy-regularization-2110.08923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dual-approach-to-constrained-markov-decision-processes-with-entropy-regularization-2110.08923"/></url>
<url><loc>https://scifaro.com/en/abs/poisoning-attacks-on-fair-machine-learning-2110.08932</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisoning-attacks-on-fair-machine-learning-2110.08932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisoning-attacks-on-fair-machine-learning-2110.08932"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-optimization-using-heterogeneous-compute-systems-2110.08941</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-optimization-using-heterogeneous-compute-systems-2110.08941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-optimization-using-heterogeneous-compute-systems-2110.08941"/></url>
<url><loc>https://scifaro.com/en/abs/developing-a-novel-fair-loan-predictor-through-a-multi-sensitive-debiasing-pipeline-dualfair-2110.08944</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/developing-a-novel-fair-loan-predictor-through-a-multi-sensitive-debiasing-pipeline-dualfair-2110.08944"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/developing-a-novel-fair-loan-predictor-through-a-multi-sensitive-debiasing-pipeline-dualfair-2110.08944"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-mortality-prediction-using-mimic-iv-icu-data-via-boosted-nonparametric-hazards-2110.08949</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-mortality-prediction-using-mimic-iv-icu-data-via-boosted-nonparametric-hazards-2110.08949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-mortality-prediction-using-mimic-iv-icu-data-via-boosted-nonparametric-hazards-2110.08949"/></url>
<url><loc>https://scifaro.com/en/abs/optimistic-policy-optimization-is-provably-efficient-in-non-stationary-mdps-2110.08984</loc><lastmod>2024-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimistic-policy-optimization-is-provably-efficient-in-non-stationary-mdps-2110.08984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimistic-policy-optimization-is-provably-efficient-in-non-stationary-mdps-2110.08984"/></url>
<url><loc>https://scifaro.com/en/abs/finding-everything-within-random-binary-networks-2110.08996</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-everything-within-random-binary-networks-2110.08996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-everything-within-random-binary-networks-2110.08996"/></url>
<url><loc>https://scifaro.com/en/abs/when-are-linear-stochastic-bandits-attackable-2110.09008</loc><lastmod>2022-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-are-linear-stochastic-bandits-attackable-2110.09008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-are-linear-stochastic-bandits-attackable-2110.09008"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-memorization-of-noisy-labels-via-regularization-between-representations-2110.09022</loc><lastmod>2022-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-memorization-of-noisy-labels-via-regularization-between-representations-2110.09022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-memorization-of-noisy-labels-via-regularization-between-representations-2110.09022"/></url>
<url><loc>https://scifaro.com/en/abs/utilizing-active-machine-learning-for-quality-assurance-a-case-study-of-virtual-car-renderings-in-the-automotive-industry-2110.09023</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/utilizing-active-machine-learning-for-quality-assurance-a-case-study-of-virtual-car-renderings-in-the-automotive-industry-2110.09023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/utilizing-active-machine-learning-for-quality-assurance-a-case-study-of-virtual-car-renderings-in-the-automotive-industry-2110.09023"/></url>
<url><loc>https://scifaro.com/en/abs/edge-rewiring-goes-neural-boosting-network-resilience-without-rich-features-2110.09035</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edge-rewiring-goes-neural-boosting-network-resilience-without-rich-features-2110.09035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edge-rewiring-goes-neural-boosting-network-resilience-without-rich-features-2110.09035"/></url>
<url><loc>https://scifaro.com/en/abs/capsule-graph-neural-networks-with-em-routing-2110.09039</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capsule-graph-neural-networks-with-em-routing-2110.09039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capsule-graph-neural-networks-with-em-routing-2110.09039"/></url>
<url><loc>https://scifaro.com/en/abs/strategizing-university-rank-improvement-using-interpretable-machine-learning-and-data-visualization-2110.09050</loc><lastmod>2021-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/strategizing-university-rank-improvement-using-interpretable-machine-learning-and-data-visualization-2110.09050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/strategizing-university-rank-improvement-using-interpretable-machine-learning-and-data-visualization-2110.09050"/></url>
<url><loc>https://scifaro.com/en/abs/training-deep-neural-networks-with-adaptive-momentum-inspired-by-the-quadratic-optimization-2110.09057</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-deep-neural-networks-with-adaptive-momentum-inspired-by-the-quadratic-optimization-2110.09057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-deep-neural-networks-with-adaptive-momentum-inspired-by-the-quadratic-optimization-2110.09057"/></url>
<url><loc>https://scifaro.com/en/abs/semi-asynchronous-hierarchical-federated-learning-for-cooperative-intelligent-transportation-systems-2110.09073</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-asynchronous-hierarchical-federated-learning-for-cooperative-intelligent-transportation-systems-2110.09073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-asynchronous-hierarchical-federated-learning-for-cooperative-intelligent-transportation-systems-2110.09073"/></url>
<url><loc>https://scifaro.com/en/abs/towards-general-deep-leakage-in-federated-learning-2110.09074</loc><lastmod>2022-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-general-deep-leakage-in-federated-learning-2110.09074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-general-deep-leakage-in-federated-learning-2110.09074"/></url>
<url><loc>https://scifaro.com/en/abs/embrace-accelerating-sparse-communication-for-distributed-training-of-nlp-neural-networks-2110.09132</loc><lastmod>2022-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embrace-accelerating-sparse-communication-for-distributed-training-of-nlp-neural-networks-2110.09132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embrace-accelerating-sparse-communication-for-distributed-training-of-nlp-neural-networks-2110.09132"/></url>
<url><loc>https://scifaro.com/en/abs/online-sign-identification-minimization-of-the-number-of-errors-in-thresholding-bandits-2110.09133</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-sign-identification-minimization-of-the-number-of-errors-in-thresholding-bandits-2110.09133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-sign-identification-minimization-of-the-number-of-errors-in-thresholding-bandits-2110.09133"/></url>
<url><loc>https://scifaro.com/en/abs/state-space-constraints-can-improve-the-generalisation-of-the-differentiable-neural-computer-to-input-sequences-with-unseen-length-2110.09138</loc><lastmod>2025-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-space-constraints-can-improve-the-generalisation-of-the-differentiable-neural-computer-to-input-sequences-with-unseen-length-2110.09138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-space-constraints-can-improve-the-generalisation-of-the-differentiable-neural-computer-to-input-sequences-with-unseen-length-2110.09138"/></url>
<url><loc>https://scifaro.com/en/abs/learning-prototype-oriented-set-representations-for-meta-learning-2110.09140</loc><lastmod>2023-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-prototype-oriented-set-representations-for-meta-learning-2110.09140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-prototype-oriented-set-representations-for-meta-learning-2110.09140"/></url>
<url><loc>https://scifaro.com/en/abs/a-dimensionality-reduction-approach-for-convolutional-neural-networks-2110.09163</loc><lastmod>2024-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dimensionality-reduction-approach-for-convolutional-neural-networks-2110.09163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dimensionality-reduction-approach-for-convolutional-neural-networks-2110.09163"/></url>
<url><loc>https://scifaro.com/en/abs/speeding-up-back-propagation-in-dnn-approximate-outer-product-with-memory-2110.09164</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/speeding-up-back-propagation-in-dnn-approximate-outer-product-with-memory-2110.09164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/speeding-up-back-propagation-in-dnn-approximate-outer-product-with-memory-2110.09164"/></url>
<url><loc>https://scifaro.com/en/abs/graph-partner-neural-networks-for-semi-supervised-learning-on-graphs-2110.09182</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-partner-neural-networks-for-semi-supervised-learning-on-graphs-2110.09182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-partner-neural-networks-for-semi-supervised-learning-on-graphs-2110.09182"/></url>
<url><loc>https://scifaro.com/en/abs/learning-optimal-conformal-classifiers-2110.09192</loc><lastmod>2022-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-optimal-conformal-classifiers-2110.09192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-optimal-conformal-classifiers-2110.09192"/></url>
<url><loc>https://scifaro.com/en/abs/topologically-regularized-data-embeddings-2110.09193</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topologically-regularized-data-embeddings-2110.09193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topologically-regularized-data-embeddings-2110.09193"/></url>
<url><loc>https://scifaro.com/en/abs/option-transfer-and-smdp-abstraction-with-successor-features-2110.09196</loc><lastmod>2022-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/option-transfer-and-smdp-abstraction-with-successor-features-2110.09196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/option-transfer-and-smdp-abstraction-with-successor-features-2110.09196"/></url>
<url><loc>https://scifaro.com/en/abs/correlation-based-discovery-of-disease-patterns-for-syndromic-surveillance-2110.09208</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlation-based-discovery-of-disease-patterns-for-syndromic-surveillance-2110.09208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlation-based-discovery-of-disease-patterns-for-syndromic-surveillance-2110.09208"/></url>
<url><loc>https://scifaro.com/en/abs/noise-resilient-ensemble-learning-using-evidence-accumulation-clustering-2110.09212</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noise-resilient-ensemble-learning-using-evidence-accumulation-clustering-2110.09212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noise-resilient-ensemble-learning-using-evidence-accumulation-clustering-2110.09212"/></url>
<url><loc>https://scifaro.com/en/abs/single-layer-predictive-normalized-maximum-likelihood-for-out-of-distribution-detection-2110.09246</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/single-layer-predictive-normalized-maximum-likelihood-for-out-of-distribution-detection-2110.09246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/single-layer-predictive-normalized-maximum-likelihood-for-out-of-distribution-detection-2110.09246"/></url>
<url><loc>https://scifaro.com/en/abs/pygrank-a-python-package-for-graph-node-ranking-2110.09274</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pygrank-a-python-package-for-graph-node-ranking-2110.09274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pygrank-a-python-package-for-graph-node-ranking-2110.09274"/></url>
<url><loc>https://scifaro.com/en/abs/natural-attribute-based-shift-detection-2110.09276</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-attribute-based-shift-detection-2110.09276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-attribute-based-shift-detection-2110.09276"/></url>
<url><loc>https://scifaro.com/en/abs/fair-tree-classifier-using-strong-demographic-parity-2110.09295</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-tree-classifier-using-strong-demographic-parity-2110.09295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-tree-classifier-using-strong-demographic-parity-2110.09295"/></url>
<url><loc>https://scifaro.com/en/abs/a-prior-guided-adversarial-representation-learning-and-hypergraph-perceptual-network-for-predicting-abnormal-connections-of-alzheimer-s-disease-2110.09302</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-prior-guided-adversarial-representation-learning-and-hypergraph-perceptual-network-for-predicting-abnormal-connections-of-alzheimer-s-disease-2110.09302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-prior-guided-adversarial-representation-learning-and-hypergraph-perceptual-network-for-predicting-abnormal-connections-of-alzheimer-s-disease-2110.09302"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-occurrence-of-extreme-events-using-machine-learning-2110.09304</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-occurrence-of-extreme-events-using-machine-learning-2110.09304"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-occurrence-of-extreme-events-using-machine-learning-2110.09304"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-representation-learning-introduction-advances-and-challenges-2110.09327</loc><lastmod>2022-05-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-representation-learning-introduction-advances-and-challenges-2110.09327"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-representation-learning-introduction-advances-and-challenges-2110.09327"/></url>
<url><loc>https://scifaro.com/en/abs/ifmixup-interpolating-graph-pair-to-regularize-graph-classification-2110.09344</loc><lastmod>2022-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ifmixup-interpolating-graph-pair-to-regularize-graph-classification-2110.09344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ifmixup-interpolating-graph-pair-to-regularize-graph-classification-2110.09344"/></url>
<url><loc>https://scifaro.com/en/abs/towards-federated-bayesian-network-structure-learning-with-continuous-optimization-2110.09356</loc><lastmod>2022-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-federated-bayesian-network-structure-learning-with-continuous-optimization-2110.09356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-federated-bayesian-network-structure-learning-with-continuous-optimization-2110.09356"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-domain-specific-features-to-enhance-domain-generalization-2110.09410</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-domain-specific-features-to-enhance-domain-generalization-2110.09410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-domain-specific-features-to-enhance-domain-generalization-2110.09410"/></url>
<url><loc>https://scifaro.com/en/abs/compositional-attention-disentangling-search-and-retrieval-2110.09419</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compositional-attention-disentangling-search-and-retrieval-2110.09419"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compositional-attention-disentangling-search-and-retrieval-2110.09419"/></url>
<url><loc>https://scifaro.com/en/abs/early-diagnostic-prediction-of-covid-19-using-gradient-boosting-machine-model-2110.09436</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/early-diagnostic-prediction-of-covid-19-using-gradient-boosting-machine-model-2110.09436"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/early-diagnostic-prediction-of-covid-19-using-gradient-boosting-machine-model-2110.09436"/></url>
<url><loc>https://scifaro.com/en/abs/goal-agnostic-planning-using-maximum-likelihood-paths-in-hypergraph-world-models-2110.09442</loc><lastmod>2023-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/goal-agnostic-planning-using-maximum-likelihood-paths-in-hypergraph-world-models-2110.09442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/goal-agnostic-planning-using-maximum-likelihood-paths-in-hypergraph-world-models-2110.09442"/></url>
<url><loc>https://scifaro.com/en/abs/beltrami-flow-and-neural-diffusion-on-graphs-2110.09443</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beltrami-flow-and-neural-diffusion-on-graphs-2110.09443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beltrami-flow-and-neural-diffusion-on-graphs-2110.09443"/></url>
<url><loc>https://scifaro.com/en/abs/squeezing-backbone-feature-distributions-to-the-max-for-efficient-few-shot-learning-2110.09446</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/squeezing-backbone-feature-distributions-to-the-max-for-efficient-few-shot-learning-2110.09446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/squeezing-backbone-feature-distributions-to-the-max-for-efficient-few-shot-learning-2110.09446"/></url>
<url><loc>https://scifaro.com/en/abs/spap-simultaneous-demand-prediction-and-planning-for-electric-vehicle-chargers-in-a-new-city-2110.09452</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spap-simultaneous-demand-prediction-and-planning-for-electric-vehicle-chargers-in-a-new-city-2110.09452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spap-simultaneous-demand-prediction-and-planning-for-electric-vehicle-chargers-in-a-new-city-2110.09452"/></url>
<url><loc>https://scifaro.com/en/abs/on-predictive-explanation-of-data-anomalies-2110.09467</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-predictive-explanation-of-data-anomalies-2110.09467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-predictive-explanation-of-data-anomalies-2110.09467"/></url>
<url><loc>https://scifaro.com/en/abs/improving-robustness-using-generated-data-2110.09468</loc><lastmod>2021-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-robustness-using-generated-data-2110.09468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-robustness-using-generated-data-2110.09468"/></url>
<url><loc>https://scifaro.com/en/abs/recovery-guarantees-for-kernel-based-clustering-under-non-parametric-mixture-models-2110.09476</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recovery-guarantees-for-kernel-based-clustering-under-non-parametric-mixture-models-2110.09476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recovery-guarantees-for-kernel-based-clustering-under-non-parametric-mixture-models-2110.09476"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-high-dimension-always-amounts-to-extrapolation-2110.09485</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-high-dimension-always-amounts-to-extrapolation-2110.09485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-high-dimension-always-amounts-to-extrapolation-2110.09485"/></url>
<url><loc>https://scifaro.com/en/abs/protecting-anonymous-speech-a-generative-adversarial-network-methodology-for-removing-stylistic-indicators-in-text-2110.09495</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/protecting-anonymous-speech-a-generative-adversarial-network-methodology-for-removing-stylistic-indicators-in-text-2110.09495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/protecting-anonymous-speech-a-generative-adversarial-network-methodology-for-removing-stylistic-indicators-in-text-2110.09495"/></url>
<url><loc>https://scifaro.com/en/abs/memo-test-time-robustness-via-adaptation-and-augmentation-2110.09506</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memo-test-time-robustness-via-adaptation-and-augmentation-2110.09506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memo-test-time-robustness-via-adaptation-and-augmentation-2110.09506"/></url>
<url><loc>https://scifaro.com/en/abs/provable-hierarchy-based-meta-reinforcement-learning-2110.09507</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-hierarchy-based-meta-reinforcement-learning-2110.09507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-hierarchy-based-meta-reinforcement-learning-2110.09507"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-and-achieving-goals-via-world-models-2110.09514</loc><lastmod>2021-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-and-achieving-goals-via-world-models-2110.09514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-and-achieving-goals-via-world-models-2110.09514"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-gnn-computational-graph-a-coordinated-computation-io-and-memory-perspective-2110.09524</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-gnn-computational-graph-a-coordinated-computation-io-and-memory-perspective-2110.09524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-gnn-computational-graph-a-coordinated-computation-io-and-memory-perspective-2110.09524"/></url>
<url><loc>https://scifaro.com/en/abs/eigenbehaviour-as-an-indicator-of-cognitive-abilities-2110.09525</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigenbehaviour-as-an-indicator-of-cognitive-abilities-2110.09525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigenbehaviour-as-an-indicator-of-cognitive-abilities-2110.09525"/></url>
<url><loc>https://scifaro.com/en/abs/path-regularization-a-convexity-and-sparsity-inducing-regularization-for-parallel-relu-networks-2110.09548</loc><lastmod>2023-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/path-regularization-a-convexity-and-sparsity-inducing-regularization-for-parallel-relu-networks-2110.09548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/path-regularization-a-convexity-and-sparsity-inducing-regularization-for-parallel-relu-networks-2110.09548"/></url>
<url><loc>https://scifaro.com/en/abs/a-optimal-active-learning-2110.09585</loc><lastmod>2022-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-optimal-active-learning-2110.09585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-optimal-active-learning-2110.09585"/></url>
<url><loc>https://scifaro.com/en/abs/label-descriptive-patterns-and-their-application-to-characterizing-classification-errors-2110.09599</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-descriptive-patterns-and-their-application-to-characterizing-classification-errors-2110.09599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-descriptive-patterns-and-their-application-to-characterizing-classification-errors-2110.09599"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-analysis-of-covid-19-clinical-data-using-machine-learning-models-2110.09606</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-analysis-of-covid-19-clinical-data-using-machine-learning-models-2110.09606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-analysis-of-covid-19-clinical-data-using-machine-learning-models-2110.09606"/></url>
<url><loc>https://scifaro.com/en/abs/further-generalizations-of-the-jaccard-index-2110.09619</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/further-generalizations-of-the-jaccard-index-2110.09619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/further-generalizations-of-the-jaccard-index-2110.09619"/></url>
<url><loc>https://scifaro.com/en/abs/robust-representation-and-efficient-feature-selection-allows-for-effective-clustering-of-sars-cov-2-variants-2110.09622</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-representation-and-efficient-feature-selection-allows-for-effective-clustering-of-sars-cov-2-variants-2110.09622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-representation-and-efficient-feature-selection-allows-for-effective-clustering-of-sars-cov-2-variants-2110.09622"/></url>
<url><loc>https://scifaro.com/en/abs/relational-neural-markov-random-fields-2110.09647</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relational-neural-markov-random-fields-2110.09647"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relational-neural-markov-random-fields-2110.09647"/></url>
<url><loc>https://scifaro.com/en/abs/bev-sgd-best-effort-voting-sgd-for-analog-aggregation-based-federated-learning-against-byzantine-attackers-2110.09660</loc><lastmod>2022-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bev-sgd-best-effort-voting-sgd-for-analog-aggregation-based-federated-learning-against-byzantine-attackers-2110.09660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bev-sgd-best-effort-voting-sgd-for-analog-aggregation-based-federated-learning-against-byzantine-attackers-2110.09660"/></url>
<url><loc>https://scifaro.com/en/abs/private-measurement-of-nonlinear-correlations-between-data-hosted-across-multiple-parties-2110.09670</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/private-measurement-of-nonlinear-correlations-between-data-hosted-across-multiple-parties-2110.09670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/private-measurement-of-nonlinear-correlations-between-data-hosted-across-multiple-parties-2110.09670"/></url>
<url><loc>https://scifaro.com/en/abs/active-noise-control-techniques-for-nonlinear-systems-2110.09672</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-noise-control-techniques-for-nonlinear-systems-2110.09672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-noise-control-techniques-for-nonlinear-systems-2110.09672"/></url>
<url><loc>https://scifaro.com/en/abs/accelerated-graph-learning-from-smooth-signals-2110.09677</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerated-graph-learning-from-smooth-signals-2110.09677"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerated-graph-learning-from-smooth-signals-2110.09677"/></url>
<url><loc>https://scifaro.com/en/abs/permutation-invariant-graph-to-sequence-model-for-template-free-retrosynthesis-and-reaction-prediction-2110.09681</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/permutation-invariant-graph-to-sequence-model-for-template-free-retrosynthesis-and-reaction-prediction-2110.09681"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/permutation-invariant-graph-to-sequence-model-for-template-free-retrosynthesis-and-reaction-prediction-2110.09681"/></url>
<url><loc>https://scifaro.com/en/abs/tackling-dynamics-in-federated-incremental-learning-with-variational-embedding-rehearsal-2110.09695</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tackling-dynamics-in-federated-incremental-learning-with-variational-embedding-rehearsal-2110.09695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tackling-dynamics-in-federated-incremental-learning-with-variational-embedding-rehearsal-2110.09695"/></url>
<url><loc>https://scifaro.com/en/abs/balancing-value-underestimation-and-overestimation-with-realistic-actor-critic-2110.09712</loc><lastmod>2022-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balancing-value-underestimation-and-overestimation-with-realistic-actor-critic-2110.09712"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balancing-value-underestimation-and-overestimation-with-realistic-actor-critic-2110.09712"/></url>
<url><loc>https://scifaro.com/en/abs/lipschitz-bandits-with-batched-feedback-2110.09722</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lipschitz-bandits-with-batched-feedback-2110.09722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lipschitz-bandits-with-batched-feedback-2110.09722"/></url>
<url><loc>https://scifaro.com/en/abs/cgnn-traffic-classification-with-graph-neural-network-2110.09726</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cgnn-traffic-classification-with-graph-neural-network-2110.09726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cgnn-traffic-classification-with-graph-neural-network-2110.09726"/></url>
<url><loc>https://scifaro.com/en/abs/a-regularization-method-to-improve-adversarial-robustness-of-neural-networks-for-ecg-signal-classification-2110.09759</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-regularization-method-to-improve-adversarial-robustness-of-neural-networks-for-ecg-signal-classification-2110.09759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-regularization-method-to-improve-adversarial-robustness-of-neural-networks-for-ecg-signal-classification-2110.09759"/></url>
<url><loc>https://scifaro.com/en/abs/pre-and-post-counting-for-scalable-statistical-relational-model-discovery-2110.09767</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pre-and-post-counting-for-scalable-statistical-relational-model-discovery-2110.09767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pre-and-post-counting-for-scalable-statistical-relational-model-discovery-2110.09767"/></url>
<url><loc>https://scifaro.com/en/abs/aefe-automatic-embedded-feature-engineering-for-categorical-features-2110.09770</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aefe-automatic-embedded-feature-engineering-for-categorical-features-2110.09770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aefe-automatic-embedded-feature-engineering-for-categorical-features-2110.09770"/></url>
<url><loc>https://scifaro.com/en/abs/on-reward-free-rl-with-kernel-and-neural-function-approximations-single-agent-mdp-and-markov-game-2110.09771</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-reward-free-rl-with-kernel-and-neural-function-approximations-single-agent-mdp-and-markov-game-2110.09771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-reward-free-rl-with-kernel-and-neural-function-approximations-single-agent-mdp-and-markov-game-2110.09771"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-deep-tractable-probabilistic-models-the-sum-product-network-case-2110.09778</loc><lastmod>2022-09-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-deep-tractable-probabilistic-models-the-sum-product-network-case-2110.09778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-deep-tractable-probabilistic-models-the-sum-product-network-case-2110.09778"/></url>
<url><loc>https://scifaro.com/en/abs/offline-reinforcement-learning-with-value-based-episodic-memory-2110.09796</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-reinforcement-learning-with-value-based-episodic-memory-2110.09796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-reinforcement-learning-with-value-based-episodic-memory-2110.09796"/></url>
<url><loc>https://scifaro.com/en/abs/latent-reweighting-an-almost-free-improvement-for-gans-2110.09803</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-reweighting-an-almost-free-improvement-for-gans-2110.09803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-reweighting-an-almost-free-improvement-for-gans-2110.09803"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-loss-balancing-for-physics-informed-deep-learning-2110.09813</loc><lastmod>2025-09-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-loss-balancing-for-physics-informed-deep-learning-2110.09813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-loss-balancing-for-physics-informed-deep-learning-2110.09813"/></url>
<url><loc>https://scifaro.com/en/abs/state-based-episodic-memory-for-multi-agent-reinforcement-learning-2110.09817</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-based-episodic-memory-for-multi-agent-reinforcement-learning-2110.09817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-based-episodic-memory-for-multi-agent-reinforcement-learning-2110.09817"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-study-extensive-deep-temporal-point-process-2110.09823</loc><lastmod>2024-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-study-extensive-deep-temporal-point-process-2110.09823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-study-extensive-deep-temporal-point-process-2110.09823"/></url>
<url><loc>https://scifaro.com/en/abs/aequevox-automated-fairness-testing-of-speech-recognition-systems-2110.09843</loc><lastmod>2022-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aequevox-automated-fairness-testing-of-speech-recognition-systems-2110.09843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aequevox-automated-fairness-testing-of-speech-recognition-systems-2110.09843"/></url>
<url><loc>https://scifaro.com/en/abs/designing-a-clinically-applicable-deep-recurrent-model-to-identify-neuropsychiatric-symptoms-in-people-living-with-dementia-using-in-home-monitoring-data-2110.09868</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-a-clinically-applicable-deep-recurrent-model-to-identify-neuropsychiatric-symptoms-in-people-living-with-dementia-using-in-home-monitoring-data-2110.09868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-a-clinically-applicable-deep-recurrent-model-to-identify-neuropsychiatric-symptoms-in-people-living-with-dementia-using-in-home-monitoring-data-2110.09868"/></url>
<url><loc>https://scifaro.com/en/abs/user-centric-federated-learning-2110.09869</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/user-centric-federated-learning-2110.09869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/user-centric-federated-learning-2110.09869"/></url>
<url><loc>https://scifaro.com/en/abs/two-stage-voice-application-recommender-system-for-unhandled-utterances-in-intelligent-personal-assistant-2110.09877</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-stage-voice-application-recommender-system-for-unhandled-utterances-in-intelligent-personal-assistant-2110.09877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-stage-voice-application-recommender-system-for-unhandled-utterances-in-intelligent-personal-assistant-2110.09877"/></url>
<url><loc>https://scifaro.com/en/abs/toward-understanding-convolutional-neural-networks-from-volterra-convolution-perspective-2110.09902</loc><lastmod>2025-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-understanding-convolutional-neural-networks-from-volterra-convolution-perspective-2110.09902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-understanding-convolutional-neural-networks-from-volterra-convolution-perspective-2110.09902"/></url>
<url><loc>https://scifaro.com/en/abs/fedhe-heterogeneous-models-and-communication-efficient-federated-learning-2110.09910</loc><lastmod>2022-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedhe-heterogeneous-models-and-communication-efficient-federated-learning-2110.09910"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedhe-heterogeneous-models-and-communication-efficient-federated-learning-2110.09910"/></url>
<url><loc>https://scifaro.com/en/abs/toffi-toolbox-for-frequency-based-fingerprinting-of-brain-signals-2110.09919</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toffi-toolbox-for-frequency-based-fingerprinting-of-brain-signals-2110.09919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toffi-toolbox-for-frequency-based-fingerprinting-of-brain-signals-2110.09919"/></url>
<url><loc>https://scifaro.com/en/abs/minimal-multi-layer-modifications-of-deep-neural-networks-2110.09929</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minimal-multi-layer-modifications-of-deep-neural-networks-2110.09929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minimal-multi-layer-modifications-of-deep-neural-networks-2110.09929"/></url>
<url><loc>https://scifaro.com/en/abs/random-feature-approximation-for-online-nonlinear-graph-topology-identification-2110.09935</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-feature-approximation-for-online-nonlinear-graph-topology-identification-2110.09935"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-feature-approximation-for-online-nonlinear-graph-topology-identification-2110.09935"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-that-support-robust-transfer-of-predictors-2110.09940</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-that-support-robust-transfer-of-predictors-2110.09940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-that-support-robust-transfer-of-predictors-2110.09940"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-active-meta-learning-for-black-box-optimization-2110.09943</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-active-meta-learning-for-black-box-optimization-2110.09943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-active-meta-learning-for-black-box-optimization-2110.09943"/></url>
<url><loc>https://scifaro.com/en/abs/using-program-synthesis-and-inductive-logic-programming-to-solve-bongard-problems-2110.09947</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-program-synthesis-and-inductive-logic-programming-to-solve-bongard-problems-2110.09947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-program-synthesis-and-inductive-logic-programming-to-solve-bongard-problems-2110.09947"/></url>
<url><loc>https://scifaro.com/en/abs/pr-cim-a-variation-aware-binary-neural-network-framework-for-process-resilient-computation-in-memory-2110.09962</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pr-cim-a-variation-aware-binary-neural-network-framework-for-process-resilient-computation-in-memory-2110.09962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pr-cim-a-variation-aware-binary-neural-network-framework-for-process-resilient-computation-in-memory-2110.09962"/></url>
<url><loc>https://scifaro.com/en/abs/unifed-a-unified-framework-for-federated-learning-on-non-iid-image-features-2110.09974</loc><lastmod>2023-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unifed-a-unified-framework-for-federated-learning-on-non-iid-image-features-2110.09974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unifed-a-unified-framework-for-federated-learning-on-non-iid-image-features-2110.09974"/></url>
<url><loc>https://scifaro.com/en/abs/eegminer-discovering-interpretable-features-of-brain-activity-with-learnable-filters-2110.10009</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eegminer-discovering-interpretable-features-of-brain-activity-with-learnable-filters-2110.10009"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eegminer-discovering-interpretable-features-of-brain-activity-with-learnable-filters-2110.10009"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-compatible-off-policy-natural-actor-critic-algorithm-2110.10017</loc><lastmod>2022-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-compatible-off-policy-natural-actor-critic-algorithm-2110.10017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-compatible-off-policy-natural-actor-critic-algorithm-2110.10017"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-pricing-and-assortment-under-a-contextual-mnl-demand-2110.10018</loc><lastmod>2022-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-pricing-and-assortment-under-a-contextual-mnl-demand-2110.10018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-pricing-and-assortment-under-a-contextual-mnl-demand-2110.10018"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-framework-of-transformer-by-hardware-design-and-model-compression-co-optimization-2110.10030</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-framework-of-transformer-by-hardware-design-and-model-compression-co-optimization-2110.10030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-framework-of-transformer-by-hardware-design-and-model-compression-co-optimization-2110.10030"/></url>
<url><loc>https://scifaro.com/en/abs/online-continual-learning-on-class-incremental-blurry-task-configuration-with-anytime-inference-2110.10031</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-continual-learning-on-class-incremental-blurry-task-configuration-with-anytime-inference-2110.10031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-continual-learning-on-class-incremental-blurry-task-configuration-with-anytime-inference-2110.10031"/></url>
<url><loc>https://scifaro.com/en/abs/coalitional-bayesian-autoencoders-towards-explainable-unsupervised-deep-learning-2110.10038</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coalitional-bayesian-autoencoders-towards-explainable-unsupervised-deep-learning-2110.10038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coalitional-bayesian-autoencoders-towards-explainable-unsupervised-deep-learning-2110.10038"/></url>
<url><loc>https://scifaro.com/en/abs/generating-symbolic-reasoning-problems-with-transformer-gans-2110.10054</loc><lastmod>2023-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-symbolic-reasoning-problems-with-transformer-gans-2110.10054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-symbolic-reasoning-problems-with-transformer-gans-2110.10054"/></url>
<url><loc>https://scifaro.com/en/abs/cora-benchmarks-baselines-and-metrics-as-a-platform-for-continual-reinforcement-learning-agents-2110.10067</loc><lastmod>2023-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cora-benchmarks-baselines-and-metrics-as-a-platform-for-continual-reinforcement-learning-agents-2110.10067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cora-benchmarks-baselines-and-metrics-as-a-platform-for-continual-reinforcement-learning-agents-2110.10067"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-accuracy-memory-trade-off-of-random-forests-via-leaf-refinement-2110.10075</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-accuracy-memory-trade-off-of-random-forests-via-leaf-refinement-2110.10075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-accuracy-memory-trade-off-of-random-forests-via-leaf-refinement-2110.10075"/></url>
<url><loc>https://scifaro.com/en/abs/stateful-offline-contextual-policy-evaluation-and-learning-2110.10081</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stateful-offline-contextual-policy-evaluation-and-learning-2110.10081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stateful-offline-contextual-policy-evaluation-and-learning-2110.10081"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-active-inference-2110.10083</loc><lastmod>2024-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-active-inference-2110.10083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-active-inference-2110.10083"/></url>
<url><loc>https://scifaro.com/en/abs/inductive-biases-and-variable-creation-in-self-attention-mechanisms-2110.10090</loc><lastmod>2022-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inductive-biases-and-variable-creation-in-self-attention-mechanisms-2110.10090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inductive-biases-and-variable-creation-in-self-attention-mechanisms-2110.10090"/></url>
<url><loc>https://scifaro.com/en/abs/tesseract-gradient-flip-score-to-secure-federated-learning-against-model-poisoning-attacks-2110.10108</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tesseract-gradient-flip-score-to-secure-federated-learning-against-model-poisoning-attacks-2110.10108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tesseract-gradient-flip-score-to-secure-federated-learning-against-model-poisoning-attacks-2110.10108"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-global-optimum-convergence-of-momentum-based-policy-gradient-2110.10116</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-global-optimum-convergence-of-momentum-based-policy-gradient-2110.10116"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-global-optimum-convergence-of-momentum-based-policy-gradient-2110.10116"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-exact-gradients-convergence-of-stochastic-soft-max-policy-gradient-methods-with-entropy-regularization-2110.10117</loc><lastmod>2024-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-exact-gradients-convergence-of-stochastic-soft-max-policy-gradient-methods-with-entropy-regularization-2110.10117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-exact-gradients-convergence-of-stochastic-soft-max-policy-gradient-methods-with-entropy-regularization-2110.10117"/></url>
<url><loc>https://scifaro.com/en/abs/robust-event-classification-using-imperfect-real-world-pmu-data-2110.10128</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-event-classification-using-imperfect-real-world-pmu-data-2110.10128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-event-classification-using-imperfect-real-world-pmu-data-2110.10128"/></url>
<url><loc>https://scifaro.com/en/abs/friendlycore-practical-differentially-private-aggregation-2110.10132</loc><lastmod>2022-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/friendlycore-practical-differentially-private-aggregation-2110.10132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/friendlycore-practical-differentially-private-aggregation-2110.10132"/></url>
<url><loc>https://scifaro.com/en/abs/locally-differentially-private-reinforcement-learning-for-linear-mixture-markov-decision-processes-2110.10133</loc><lastmod>2021-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/locally-differentially-private-reinforcement-learning-for-linear-mixture-markov-decision-processes-2110.10133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/locally-differentially-private-reinforcement-learning-for-linear-mixture-markov-decision-processes-2110.10133"/></url>
<url><loc>https://scifaro.com/en/abs/activation-landscapes-as-a-topological-summary-of-neural-network-performance-2110.10136</loc><lastmod>2022-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/activation-landscapes-as-a-topological-summary-of-neural-network-performance-2110.10136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/activation-landscapes-as-a-topological-summary-of-neural-network-performance-2110.10136"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-control-with-action-quantization-from-demonstrations-2110.10149</loc><lastmod>2022-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-control-with-action-quantization-from-demonstrations-2110.10149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-control-with-action-quantization-from-demonstrations-2110.10149"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-stroke-indicators-using-rough-sets-2110.10152</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-stroke-indicators-using-rough-sets-2110.10152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-stroke-indicators-using-rough-sets-2110.10152"/></url>
<url><loc>https://scifaro.com/en/abs/nas-hpo-bench-ii-a-benchmark-dataset-on-joint-optimization-of-convolutional-neural-network-architecture-and-training-hyperparameters-2110.10165</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nas-hpo-bench-ii-a-benchmark-dataset-on-joint-optimization-of-convolutional-neural-network-architecture-and-training-hyperparameters-2110.10165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nas-hpo-bench-ii-a-benchmark-dataset-on-joint-optimization-of-convolutional-neural-network-architecture-and-training-hyperparameters-2110.10165"/></url>
<url><loc>https://scifaro.com/en/abs/fairadapt-causal-reasoning-for-fair-data-pre-processing-2110.10200</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairadapt-causal-reasoning-for-fair-data-pre-processing-2110.10200"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairadapt-causal-reasoning-for-fair-data-pre-processing-2110.10200"/></url>
<url><loc>https://scifaro.com/en/abs/the-cora-tensor-compiler-compilation-for-ragged-tensors-with-minimal-padding-2110.10221</loc><lastmod>2022-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-cora-tensor-compiler-compilation-for-ragged-tensors-with-minimal-padding-2110.10221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-cora-tensor-compiler-compilation-for-ragged-tensors-with-minimal-padding-2110.10221"/></url>
<url><loc>https://scifaro.com/en/abs/a-federated-learning-aggregation-algorithm-for-pervasive-computing-evaluation-and-comparison-2110.10223</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-federated-learning-aggregation-algorithm-for-pervasive-computing-evaluation-and-comparison-2110.10223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-federated-learning-aggregation-algorithm-for-pervasive-computing-evaluation-and-comparison-2110.10223"/></url>
<url><loc>https://scifaro.com/en/abs/what-averages-do-not-tell-predicting-real-life-processes-with-sequential-deep-learning-2110.10225</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-averages-do-not-tell-predicting-real-life-processes-with-sequential-deep-learning-2110.10225"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-averages-do-not-tell-predicting-real-life-processes-with-sequential-deep-learning-2110.10225"/></url>
<url><loc>https://scifaro.com/en/abs/test-time-adaptation-through-perturbation-robustness-2110.10232</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/test-time-adaptation-through-perturbation-robustness-2110.10232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/test-time-adaptation-through-perturbation-robustness-2110.10232"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-market-prices-using-dl-with-data-augmentation-and-meta-learning-arima-still-wins-2110.10233</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-market-prices-using-dl-with-data-augmentation-and-meta-learning-arima-still-wins-2110.10233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-market-prices-using-dl-with-data-augmentation-and-meta-learning-arima-still-wins-2110.10233"/></url>
<url><loc>https://scifaro.com/en/abs/neural-stochastic-pdes-resolution-invariant-learning-of-continuous-spatiotemporal-dynamics-2110.10249</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-stochastic-pdes-resolution-invariant-learning-of-continuous-spatiotemporal-dynamics-2110.10249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-stochastic-pdes-resolution-invariant-learning-of-continuous-spatiotemporal-dynamics-2110.10249"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-approach-to-continual-learning-by-transferring-skill-parameters-2110.10255</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-approach-to-continual-learning-by-transferring-skill-parameters-2110.10255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-approach-to-continual-learning-by-transferring-skill-parameters-2110.10255"/></url>
<url><loc>https://scifaro.com/en/abs/robust-semi-supervised-classification-using-gans-with-self-organizing-maps-2110.10286</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-semi-supervised-classification-using-gans-with-self-organizing-maps-2110.10286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-semi-supervised-classification-using-gans-with-self-organizing-maps-2110.10286"/></url>
<url><loc>https://scifaro.com/en/abs/multi-concept-adversarial-attacks-2110.10287</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-concept-adversarial-attacks-2110.10287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-concept-adversarial-attacks-2110.10287"/></url>
<url><loc>https://scifaro.com/en/abs/learning-rich-nearest-neighbor-representations-from-self-supervised-ensembles-2110.10293</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-rich-nearest-neighbor-representations-from-self-supervised-ensembles-2110.10293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-rich-nearest-neighbor-representations-from-self-supervised-ensembles-2110.10293"/></url>
<url><loc>https://scifaro.com/en/abs/expressivity-of-neural-networks-via-chaotic-itineraries-beyond-sharkovsky-s-theorem-2110.10295</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expressivity-of-neural-networks-via-chaotic-itineraries-beyond-sharkovsky-s-theorem-2110.10295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expressivity-of-neural-networks-via-chaotic-itineraries-beyond-sharkovsky-s-theorem-2110.10295"/></url>
<url><loc>https://scifaro.com/en/abs/layer-wise-adaptive-model-aggregation-for-scalable-federated-learning-2110.10302</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layer-wise-adaptive-model-aggregation-for-scalable-federated-learning-2110.10302"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layer-wise-adaptive-model-aggregation-for-scalable-federated-learning-2110.10302"/></url>
<url><loc>https://scifaro.com/en/abs/when-in-doubt-summon-the-titans-efficient-inference-with-large-models-2110.10305</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-in-doubt-summon-the-titans-efficient-inference-with-large-models-2110.10305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-in-doubt-summon-the-titans-efficient-inference-with-large-models-2110.10305"/></url>
<url><loc>https://scifaro.com/en/abs/one-step-abductive-multi-target-learning-with-diverse-noisy-samples-and-its-application-to-tumour-segmentation-for-breast-cancer-2110.10325</loc><lastmod>2024-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-step-abductive-multi-target-learning-with-diverse-noisy-samples-and-its-application-to-tumour-segmentation-for-breast-cancer-2110.10325"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-step-abductive-multi-target-learning-with-diverse-noisy-samples-and-its-application-to-tumour-segmentation-for-breast-cancer-2110.10325"/></url>
<url><loc>https://scifaro.com/en/abs/minibatch-vs-local-sgd-with-shuffling-tight-convergence-bounds-and-beyond-2110.10342</loc><lastmod>2022-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/minibatch-vs-local-sgd-with-shuffling-tight-convergence-bounds-and-beyond-2110.10342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/minibatch-vs-local-sgd-with-shuffling-tight-convergence-bounds-and-beyond-2110.10342"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-reinforcement-learning-for-privacy-preserving-dynamic-edge-caching-2110.10349</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-reinforcement-learning-for-privacy-preserving-dynamic-edge-caching-2110.10349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-reinforcement-learning-for-privacy-preserving-dynamic-edge-caching-2110.10349"/></url>
<url><loc>https://scifaro.com/en/abs/abc-auxiliary-balanced-classifier-for-class-imbalanced-semi-supervised-learning-2110.10368</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/abc-auxiliary-balanced-classifier-for-class-imbalanced-semi-supervised-learning-2110.10368"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/abc-auxiliary-balanced-classifier-for-class-imbalanced-semi-supervised-learning-2110.10368"/></url>
<url><loc>https://scifaro.com/en/abs/model-composition-can-multiple-neural-networks-be-combined-into-a-single-network-using-only-unlabeled-data-2110.10369</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-composition-can-multiple-neural-networks-be-combined-into-a-single-network-using-only-unlabeled-data-2110.10369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-composition-can-multiple-neural-networks-be-combined-into-a-single-network-using-only-unlabeled-data-2110.10369"/></url>
<url><loc>https://scifaro.com/en/abs/cascaded-compressed-sensing-networks-a-reversible-architecture-for-layerwise-learning-2110.10379</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cascaded-compressed-sensing-networks-a-reversible-architecture-for-layerwise-learning-2110.10379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cascaded-compressed-sensing-networks-a-reversible-architecture-for-layerwise-learning-2110.10379"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-remember-patterns-pattern-matching-memory-networks-for-traffic-forecasting-2110.10380</loc><lastmod>2022-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-remember-patterns-pattern-matching-memory-networks-for-traffic-forecasting-2110.10380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-remember-patterns-pattern-matching-memory-networks-for-traffic-forecasting-2110.10380"/></url>
<url><loc>https://scifaro.com/en/abs/robust-learned-shrinkage-thresholding-rest-robust-unrolling-for-sparse-recover-2110.10391</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-learned-shrinkage-thresholding-rest-robust-unrolling-for-sparse-recover-2110.10391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-learned-shrinkage-thresholding-rest-robust-unrolling-for-sparse-recover-2110.10391"/></url>
<url><loc>https://scifaro.com/en/abs/priorvae-encoding-spatial-priors-with-vaes-for-small-area-estimation-2110.10422</loc><lastmod>2023-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/priorvae-encoding-spatial-priors-with-vaes-for-small-area-estimation-2110.10422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/priorvae-encoding-spatial-priors-with-vaes-for-small-area-estimation-2110.10422"/></url>
<url><loc>https://scifaro.com/en/abs/proxybo-accelerating-neural-architecture-search-via-bayesian-optimization-with-zero-cost-proxies-2110.10423</loc><lastmod>2023-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proxybo-accelerating-neural-architecture-search-via-bayesian-optimization-with-zero-cost-proxies-2110.10423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proxybo-accelerating-neural-architecture-search-via-bayesian-optimization-with-zero-cost-proxies-2110.10423"/></url>
<url><loc>https://scifaro.com/en/abs/reconstruction-of-fragmented-trajectories-of-collective-motion-using-hadamard-deep-autoencoders-2110.10428</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconstruction-of-fragmented-trajectories-of-collective-motion-using-hadamard-deep-autoencoders-2110.10428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconstruction-of-fragmented-trajectories-of-collective-motion-using-hadamard-deep-autoencoders-2110.10428"/></url>
<url><loc>https://scifaro.com/en/abs/knowledge-distillation-from-language-model-to-acoustic-model-a-hierarchical-multi-task-learning-approach-2110.10429</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knowledge-distillation-from-language-model-to-acoustic-model-a-hierarchical-multi-task-learning-approach-2110.10429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knowledge-distillation-from-language-model-to-acoustic-model-a-hierarchical-multi-task-learning-approach-2110.10429"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-one-pass-optimisation-of-high-dimensional-weight-update-hyperparameters-by-implicit-differentiation-2110.10461</loc><lastmod>2022-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-one-pass-optimisation-of-high-dimensional-weight-update-hyperparameters-by-implicit-differentiation-2110.10461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-one-pass-optimisation-of-high-dimensional-weight-update-hyperparameters-by-implicit-differentiation-2110.10461"/></url>
<url><loc>https://scifaro.com/en/abs/a-tinyml-platform-for-on-device-continual-learning-with-quantized-latent-replays-2110.10486</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tinyml-platform-for-on-device-continual-learning-with-quantized-latent-replays-2110.10486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tinyml-platform-for-on-device-continual-learning-with-quantized-latent-replays-2110.10486"/></url>
<url><loc>https://scifaro.com/en/abs/cim-ppo-proximal-policy-optimization-with-liu-correntropy-induced-metric-2110.10522</loc><lastmod>2024-10-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cim-ppo-proximal-policy-optimization-with-liu-correntropy-induced-metric-2110.10522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cim-ppo-proximal-policy-optimization-with-liu-correntropy-induced-metric-2110.10522"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-and-topological-properties-of-gaussian-smoothed-sliced-probability-divergences-2110.10524</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-and-topological-properties-of-gaussian-smoothed-sliced-probability-divergences-2110.10524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-and-topological-properties-of-gaussian-smoothed-sliced-probability-divergences-2110.10524"/></url>
<url><loc>https://scifaro.com/en/abs/ranking-and-tuning-pre-trained-models-a-new-paradigm-for-exploiting-model-hubs-2110.10545</loc><lastmod>2022-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ranking-and-tuning-pre-trained-models-a-new-paradigm-for-exploiting-model-hubs-2110.10545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ranking-and-tuning-pre-trained-models-a-new-paradigm-for-exploiting-model-hubs-2110.10545"/></url>
<url><loc>https://scifaro.com/en/abs/behavioral-experiments-for-understanding-catastrophic-forgetting-2110.10570</loc><lastmod>2022-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/behavioral-experiments-for-understanding-catastrophic-forgetting-2110.10570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/behavioral-experiments-for-understanding-catastrophic-forgetting-2110.10570"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-semi-supervised-learning-over-graphs-2110.10582</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-semi-supervised-learning-over-graphs-2110.10582"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-semi-supervised-learning-over-graphs-2110.10582"/></url>
<url><loc>https://scifaro.com/en/abs/color-teams-for-machine-learning-development-2110.10601</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/color-teams-for-machine-learning-development-2110.10601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/color-teams-for-machine-learning-development-2110.10601"/></url>
<url><loc>https://scifaro.com/en/abs/transductive-robust-learning-guarantees-2110.10602</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transductive-robust-learning-guarantees-2110.10602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transductive-robust-learning-guarantees-2110.10602"/></url>
<url><loc>https://scifaro.com/en/abs/independent-natural-policy-gradient-always-converges-in-markov-potential-games-2110.10614</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/independent-natural-policy-gradient-always-converges-in-markov-potential-games-2110.10614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/independent-natural-policy-gradient-always-converges-in-markov-potential-games-2110.10614"/></url>
<url><loc>https://scifaro.com/en/abs/more-efficient-exploration-with-symbolic-priors-on-action-sequence-equivalences-2110.10632</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/more-efficient-exploration-with-symbolic-priors-on-action-sequence-equivalences-2110.10632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/more-efficient-exploration-with-symbolic-priors-on-action-sequence-equivalences-2110.10632"/></url>
<url><loc>https://scifaro.com/en/abs/sea-graph-shell-attention-in-graph-neural-networks-2110.10674</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sea-graph-shell-attention-in-graph-neural-networks-2110.10674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sea-graph-shell-attention-in-graph-neural-networks-2110.10674"/></url>
<url><loc>https://scifaro.com/en/abs/ppfs-predictive-permutation-feature-selection-2110.10713</loc><lastmod>2024-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ppfs-predictive-permutation-feature-selection-2110.10713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ppfs-predictive-permutation-feature-selection-2110.10713"/></url>
<url><loc>https://scifaro.com/en/abs/part-x-a-family-of-stochastic-algorithms-for-search-based-test-generation-with-probabilistic-guarantees-2110.10729</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/part-x-a-family-of-stochastic-algorithms-for-search-based-test-generation-with-probabilistic-guarantees-2110.10729"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/part-x-a-family-of-stochastic-algorithms-for-search-based-test-generation-with-probabilistic-guarantees-2110.10729"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-bottleneck-for-robust-self-supervised-exploration-2110.10735</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-bottleneck-for-robust-self-supervised-exploration-2110.10735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-bottleneck-for-robust-self-supervised-exploration-2110.10735"/></url>
<url><loc>https://scifaro.com/en/abs/class-incremental-online-streaming-learning-2110.10741</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-incremental-online-streaming-learning-2110.10741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-incremental-online-streaming-learning-2110.10741"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-centric-optimization-framework-for-machine-learning-2110.10802</loc><lastmod>2022-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-centric-optimization-framework-for-machine-learning-2110.10802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-centric-optimization-framework-for-machine-learning-2110.10802"/></url>
<url><loc>https://scifaro.com/en/abs/propensity-scored-probabilistic-label-trees-2110.10803</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/propensity-scored-probabilistic-label-trees-2110.10803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/propensity-scored-probabilistic-label-trees-2110.10803"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-skills-for-efficient-exploration-2110.10809</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-skills-for-efficient-exploration-2110.10809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-skills-for-efficient-exploration-2110.10809"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-analysis-and-implicit-regularization-of-feedback-alignment-for-deep-linear-networks-2110.10815</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-analysis-and-implicit-regularization-of-feedback-alignment-for-deep-linear-networks-2110.10815"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-analysis-and-implicit-regularization-of-feedback-alignment-for-deep-linear-networks-2110.10815"/></url>
<url><loc>https://scifaro.com/en/abs/shaking-the-foundations-delusions-in-sequence-models-for-interaction-and-control-2110.10819</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shaking-the-foundations-delusions-in-sequence-models-for-interaction-and-control-2110.10819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shaking-the-foundations-delusions-in-sequence-models-for-interaction-and-control-2110.10819"/></url>
<url><loc>https://scifaro.com/en/abs/adamd-improved-bias-correction-in-adam-2110.10828</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adamd-improved-bias-correction-in-adam-2110.10828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adamd-improved-bias-correction-in-adam-2110.10828"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-of-averages-improving-model-selection-and-boosting-performance-in-domain-generalization-2110.10832</loc><lastmod>2022-10-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-of-averages-improving-model-selection-and-boosting-performance-in-domain-generalization-2110.10832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-of-averages-improving-model-selection-and-boosting-performance-in-domain-generalization-2110.10832"/></url>
<url><loc>https://scifaro.com/en/abs/high-resolution-rainfall-runoff-modeling-using-graph-neural-network-2110.10833</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-resolution-rainfall-runoff-modeling-using-graph-neural-network-2110.10833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-resolution-rainfall-runoff-modeling-using-graph-neural-network-2110.10833"/></url>
<url><loc>https://scifaro.com/en/abs/using-nasa-satellite-data-sources-and-geometric-deep-learning-to-uncover-hidden-patterns-in-covid-19-clinical-severity-2110.10849</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-nasa-satellite-data-sources-and-geometric-deep-learning-to-uncover-hidden-patterns-in-covid-19-clinical-severity-2110.10849"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-nasa-satellite-data-sources-and-geometric-deep-learning-to-uncover-hidden-patterns-in-covid-19-clinical-severity-2110.10849"/></url>
<url><loc>https://scifaro.com/en/abs/deep-generative-models-in-engineering-design-a-review-2110.10863</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-generative-models-in-engineering-design-a-review-2110.10863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-generative-models-in-engineering-design-a-review-2110.10863"/></url>
<url><loc>https://scifaro.com/en/abs/a-real-time-energy-and-cost-efficient-vehicle-route-assignment-neural-recommender-system-2110.10887</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-real-time-energy-and-cost-efficient-vehicle-route-assignment-neural-recommender-system-2110.10887"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-real-time-energy-and-cost-efficient-vehicle-route-assignment-neural-recommender-system-2110.10887"/></url>
<url><loc>https://scifaro.com/en/abs/an-empirical-evaluation-of-time-series-feature-sets-2110.10914</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-time-series-feature-sets-2110.10914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-empirical-evaluation-of-time-series-feature-sets-2110.10914"/></url>
<url><loc>https://scifaro.com/en/abs/on-some-theoretical-limitations-of-generative-adversarial-networks-2110.10915</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-some-theoretical-limitations-of-generative-adversarial-networks-2110.10915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-some-theoretical-limitations-of-generative-adversarial-networks-2110.10915"/></url>
<url><loc>https://scifaro.com/en/abs/catro-channel-pruning-via-class-aware-trace-ratio-optimization-2110.10921</loc><lastmod>2023-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/catro-channel-pruning-via-class-aware-trace-ratio-optimization-2110.10921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/catro-channel-pruning-via-class-aware-trace-ratio-optimization-2110.10921"/></url>
<url><loc>https://scifaro.com/en/abs/secureboost-large-scale-and-high-performance-vertical-federated-gradient-boosting-decision-tree-2110.10927</loc><lastmod>2024-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/secureboost-large-scale-and-high-performance-vertical-federated-gradient-boosting-decision-tree-2110.10927"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/secureboost-large-scale-and-high-performance-vertical-federated-gradient-boosting-decision-tree-2110.10927"/></url>
<url><loc>https://scifaro.com/en/abs/quantum-field-theories-markov-random-fields-and-machine-learning-2110.10928</loc><lastmod>2022-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantum-field-theories-markov-random-fields-and-machine-learning-2110.10928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantum-field-theories-markov-random-fields-and-machine-learning-2110.10928"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-detours-meet-gromov-wasserstein-2110.10932</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-detours-meet-gromov-wasserstein-2110.10932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-detours-meet-gromov-wasserstein-2110.10932"/></url>
<url><loc>https://scifaro.com/en/abs/can-q-learning-solve-multi-armed-bantids-2110.10934</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-q-learning-solve-multi-armed-bantids-2110.10934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-q-learning-solve-multi-armed-bantids-2110.10934"/></url>
<url><loc>https://scifaro.com/en/abs/autonomous-dimension-reduction-by-flattening-deformation-of-data-manifold-under-an-intrinsic-deforming-field-2110.10938</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autonomous-dimension-reduction-by-flattening-deformation-of-data-manifold-under-an-intrinsic-deforming-field-2110.10938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autonomous-dimension-reduction-by-flattening-deformation-of-data-manifold-under-an-intrinsic-deforming-field-2110.10938"/></url>
<url><loc>https://scifaro.com/en/abs/a-channel-attention-based-mlp-mixer-network-for-motor-imagery-decoding-with-eeg-2110.10939</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-channel-attention-based-mlp-mixer-network-for-motor-imagery-decoding-with-eeg-2110.10939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-channel-attention-based-mlp-mixer-network-for-motor-imagery-decoding-with-eeg-2110.10939"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-of-neural-combinatorial-solvers-through-the-lens-of-adversarial-robustness-2110.10942</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-of-neural-combinatorial-solvers-through-the-lens-of-adversarial-robustness-2110.10942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-of-neural-combinatorial-solvers-through-the-lens-of-adversarial-robustness-2110.10942"/></url>
<url><loc>https://scifaro.com/en/abs/memory-efficient-adaptive-attention-for-multiple-domain-learning-2110.10969</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memory-efficient-adaptive-attention-for-multiple-domain-learning-2110.10969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memory-efficient-adaptive-attention-for-multiple-domain-learning-2110.10969"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-gradient-flows-in-sliced-wasserstein-space-2110.10972</loc><lastmod>2022-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-gradient-flows-in-sliced-wasserstein-space-2110.10972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-gradient-flows-in-sliced-wasserstein-space-2110.10972"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-machine-learning-for-resource-allocation-with-application-to-ventilator-triage-2110.10994</loc><lastmod>2024-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-machine-learning-for-resource-allocation-with-application-to-ventilator-triage-2110.10994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-machine-learning-for-resource-allocation-with-application-to-ventilator-triage-2110.10994"/></url>
<url><loc>https://scifaro.com/en/abs/a-utility-maximization-model-of-pedestrian-and-driver-interactions-2110.11015</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-utility-maximization-model-of-pedestrian-and-driver-interactions-2110.11015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-utility-maximization-model-of-pedestrian-and-driver-interactions-2110.11015"/></url>
<url><loc>https://scifaro.com/en/abs/learning-time-varying-graphs-from-online-data-2110.11017</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-time-varying-graphs-from-online-data-2110.11017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-time-varying-graphs-from-online-data-2110.11017"/></url>
<url><loc>https://scifaro.com/en/abs/watermarking-graph-neural-networks-based-on-backdoor-attacks-2110.11024</loc><lastmod>2022-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/watermarking-graph-neural-networks-based-on-backdoor-attacks-2110.11024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/watermarking-graph-neural-networks-based-on-backdoor-attacks-2110.11024"/></url>
<url><loc>https://scifaro.com/en/abs/fedgems-federated-learning-of-larger-server-models-via-selective-knowledge-fusion-2110.11027</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedgems-federated-learning-of-larger-server-models-via-selective-knowledge-fusion-2110.11027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedgems-federated-learning-of-larger-server-models-via-selective-knowledge-fusion-2110.11027"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-meta-learning-through-variational-gaussian-processes-2110.11044</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-meta-learning-through-variational-gaussian-processes-2110.11044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-meta-learning-through-variational-gaussian-processes-2110.11044"/></url>
<url><loc>https://scifaro.com/en/abs/a-nested-weighted-tchebycheff-multi-objective-bayesian-optimization-approach-for-flexibility-of-unknown-utopia-estimation-in-expensive-black-box-design-problems-2110.11070</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-nested-weighted-tchebycheff-multi-objective-bayesian-optimization-approach-for-flexibility-of-unknown-utopia-estimation-in-expensive-black-box-design-problems-2110.11070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-nested-weighted-tchebycheff-multi-objective-bayesian-optimization-approach-for-flexibility-of-unknown-utopia-estimation-in-expensive-black-box-design-problems-2110.11070"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-authentication-using-mouse-movements-machine-learning-and-minecraft-2110.11080</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-authentication-using-mouse-movements-machine-learning-and-minecraft-2110.11080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-authentication-using-mouse-movements-machine-learning-and-minecraft-2110.11080"/></url>
<url><loc>https://scifaro.com/en/abs/roma-a-method-for-neural-network-robustness-measurement-and-assessment-2110.11088</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/roma-a-method-for-neural-network-robustness-measurement-and-assessment-2110.11088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/roma-a-method-for-neural-network-robustness-measurement-and-assessment-2110.11088"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-optimal-control-adapted-to-the-noise-characteristics-of-the-human-sensorimotor-system-2110.11130</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-optimal-control-adapted-to-the-noise-characteristics-of-the-human-sensorimotor-system-2110.11130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-optimal-control-adapted-to-the-noise-characteristics-of-the-human-sensorimotor-system-2110.11130"/></url>
<url><loc>https://scifaro.com/en/abs/dual-encoding-u-net-for-spatio-temporal-domain-shift-frame-prediction-2110.11140</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-encoding-u-net-for-spatio-temporal-domain-shift-frame-prediction-2110.11140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-encoding-u-net-for-spatio-temporal-domain-shift-frame-prediction-2110.11140"/></url>
<url><loc>https://scifaro.com/en/abs/lottery-tickets-with-nonzero-biases-2110.11150</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lottery-tickets-with-nonzero-biases-2110.11150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lottery-tickets-with-nonzero-biases-2110.11150"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-visual-representation-learning-using-lightweight-architectures-2110.11160</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-visual-representation-learning-using-lightweight-architectures-2110.11160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-visual-representation-learning-using-lightweight-architectures-2110.11160"/></url>
<url><loc>https://scifaro.com/en/abs/sensing-cox-processes-via-posterior-sampling-and-positive-bases-2110.11181</loc><lastmod>2022-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensing-cox-processes-via-posterior-sampling-and-positive-bases-2110.11181"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensing-cox-processes-via-posterior-sampling-and-positive-bases-2110.11181"/></url>
<url><loc>https://scifaro.com/en/abs/on-hard-episodes-in-meta-learning-2110.11190</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-hard-episodes-in-meta-learning-2110.11190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-hard-episodes-in-meta-learning-2110.11190"/></url>
<url><loc>https://scifaro.com/en/abs/anti-concentrated-confidence-bonuses-for-scalable-exploration-2110.11202</loc><lastmod>2022-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anti-concentrated-confidence-bonuses-for-scalable-exploration-2110.11202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anti-concentrated-confidence-bonuses-for-scalable-exploration-2110.11202"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-through-data-augmentation-loss-consistency-2110.11205</loc><lastmod>2023-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-through-data-augmentation-loss-consistency-2110.11205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-through-data-augmentation-loss-consistency-2110.11205"/></url>
<url><loc>https://scifaro.com/en/abs/user-level-private-learning-via-correlated-sampling-2110.11208</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/user-level-private-learning-via-correlated-sampling-2110.11208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/user-level-private-learning-via-correlated-sampling-2110.11208"/></url>
<url><loc>https://scifaro.com/en/abs/is-high-variance-unavoidable-in-rl-a-case-study-in-continuous-control-2110.11222</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-high-variance-unavoidable-in-rl-a-case-study-in-continuous-control-2110.11222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-high-variance-unavoidable-in-rl-a-case-study-in-continuous-control-2110.11222"/></url>
<url><loc>https://scifaro.com/en/abs/variational-predictive-routing-with-nested-subjective-timescales-2110.11236</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-predictive-routing-with-nested-subjective-timescales-2110.11236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-predictive-routing-with-nested-subjective-timescales-2110.11236"/></url>
<url><loc>https://scifaro.com/en/abs/principal-component-analysis-versus-factor-analysis-2110.11261</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/principal-component-analysis-versus-factor-analysis-2110.11261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/principal-component-analysis-versus-factor-analysis-2110.11261"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-learning-for-online-control-of-stochastic-partial-differential-equations-2110.11265</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-online-control-of-stochastic-partial-differential-equations-2110.11265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-learning-for-online-control-of-stochastic-partial-differential-equations-2110.11265"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-the-ac-power-flow-equations-with-optimally-compact-neural-networks-application-to-unit-commitment-2110.11269</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-the-ac-power-flow-equations-with-optimally-compact-neural-networks-application-to-unit-commitment-2110.11269"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-the-ac-power-flow-equations-with-optimally-compact-neural-networks-application-to-unit-commitment-2110.11269"/></url>
<url><loc>https://scifaro.com/en/abs/analyzing-and-improving-the-optimization-landscape-of-noise-contrastive-estimation-2110.11271</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analyzing-and-improving-the-optimization-landscape-of-noise-contrastive-estimation-2110.11271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analyzing-and-improving-the-optimization-landscape-of-noise-contrastive-estimation-2110.11271"/></url>
<url><loc>https://scifaro.com/en/abs/actor-critic-is-implicitly-biased-towards-high-entropy-optimal-policies-2110.11280</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/actor-critic-is-implicitly-biased-towards-high-entropy-optimal-policies-2110.11280"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/actor-critic-is-implicitly-biased-towards-high-entropy-optimal-policies-2110.11280"/></url>
<url><loc>https://scifaro.com/en/abs/one-shot-transfer-learning-of-physics-informed-neural-networks-2110.11286</loc><lastmod>2022-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-shot-transfer-learning-of-physics-informed-neural-networks-2110.11286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-shot-transfer-learning-of-physics-informed-neural-networks-2110.11286"/></url>
<url><loc>https://scifaro.com/en/abs/openabc-d-a-large-scale-dataset-for-machine-learning-guided-integrated-circuit-synthesis-2110.11292</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/openabc-d-a-large-scale-dataset-for-machine-learning-guided-integrated-circuit-synthesis-2110.11292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/openabc-d-a-large-scale-dataset-for-machine-learning-guided-integrated-circuit-synthesis-2110.11292"/></url>
<url><loc>https://scifaro.com/en/abs/transformer-acceleration-with-dynamic-sparse-attention-2110.11299</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformer-acceleration-with-dynamic-sparse-attention-2110.11299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformer-acceleration-with-dynamic-sparse-attention-2110.11299"/></url>
<url><loc>https://scifaro.com/en/abs/survival-oriented-embeddings-for-improving-accessibility-to-complex-data-structures-2110.11303</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survival-oriented-embeddings-for-improving-accessibility-to-complex-data-structures-2110.11303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survival-oriented-embeddings-for-improving-accessibility-to-complex-data-structures-2110.11303"/></url>
<url><loc>https://scifaro.com/en/abs/on-games-and-simulators-as-a-platform-for-development-of-artificial-intelligence-for-command-and-control-2110.11305</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-games-and-simulators-as-a-platform-for-development-of-artificial-intelligence-for-command-and-control-2110.11305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-games-and-simulators-as-a-platform-for-development-of-artificial-intelligence-for-command-and-control-2110.11305"/></url>
<url><loc>https://scifaro.com/en/abs/fast-model-editing-at-scale-2110.11309</loc><lastmod>2022-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-model-editing-at-scale-2110.11309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-model-editing-at-scale-2110.11309"/></url>
<url><loc>https://scifaro.com/en/abs/towards-modelling-hazard-factors-in-unstructured-data-spaces-using-gradient-based-latent-interpolation-2110.11312</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-modelling-hazard-factors-in-unstructured-data-spaces-using-gradient-based-latent-interpolation-2110.11312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-modelling-hazard-factors-in-unstructured-data-spaces-using-gradient-based-latent-interpolation-2110.11312"/></url>
<url><loc>https://scifaro.com/en/abs/center-loss-regularization-for-continual-learning-2110.11314</loc><lastmod>2021-10-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/center-loss-regularization-for-continual-learning-2110.11314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/center-loss-regularization-for-continual-learning-2110.11314"/></url>
<url><loc>https://scifaro.com/en/abs/cloob-modern-hopfield-networks-with-infoloob-outperform-clip-2110.11316</loc><lastmod>2022-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cloob-modern-hopfield-networks-with-infoloob-outperform-clip-2110.11316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cloob-modern-hopfield-networks-with-infoloob-outperform-clip-2110.11316"/></url>
<url><loc>https://scifaro.com/en/abs/a-fine-grained-analysis-on-distribution-shift-2110.11328</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fine-grained-analysis-on-distribution-shift-2110.11328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fine-grained-analysis-on-distribution-shift-2110.11328"/></url>
<url><loc>https://scifaro.com/en/abs/quantumnat-quantum-noise-aware-training-with-noise-injection-quantization-and-normalization-2110.11331</loc><lastmod>2025-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantumnat-quantum-noise-aware-training-with-noise-injection-quantization-and-normalization-2110.11331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantumnat-quantum-noise-aware-training-with-noise-injection-quantization-and-normalization-2110.11331"/></url>
<url><loc>https://scifaro.com/en/abs/empowering-general-purpose-user-representation-with-full-life-cycle-behavior-modeling-2110.11337</loc><lastmod>2023-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empowering-general-purpose-user-representation-with-full-life-cycle-behavior-modeling-2110.11337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empowering-general-purpose-user-representation-with-full-life-cycle-behavior-modeling-2110.11337"/></url>
<url><loc>https://scifaro.com/en/abs/sosp-efficiently-capturing-global-correlations-by-second-order-structured-pruning-2110.11395</loc><lastmod>2023-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sosp-efficiently-capturing-global-correlations-by-second-order-structured-pruning-2110.11395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sosp-efficiently-capturing-global-correlations-by-second-order-structured-pruning-2110.11395"/></url>
<url><loc>https://scifaro.com/en/abs/channel-redundancy-and-overlap-in-convolutional-neural-networks-with-channel-wise-nnk-graphs-2110.11400</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/channel-redundancy-and-overlap-in-convolutional-neural-networks-with-channel-wise-nnk-graphs-2110.11400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/channel-redundancy-and-overlap-in-convolutional-neural-networks-with-channel-wise-nnk-graphs-2110.11400"/></url>
<url><loc>https://scifaro.com/en/abs/trajectory-prediction-using-generative-adversarial-network-in-multi-class-scenarios-2110.11401</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trajectory-prediction-using-generative-adversarial-network-in-multi-class-scenarios-2110.11401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trajectory-prediction-using-generative-adversarial-network-in-multi-class-scenarios-2110.11401"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-regularization-of-autoencoders-2110.11402</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-regularization-of-autoencoders-2110.11402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-regularization-of-autoencoders-2110.11402"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-discrimination-in-learning-agents-2110.11404</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-discrimination-in-learning-agents-2110.11404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-discrimination-in-learning-agents-2110.11404"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-memory-consumption-by-neural-networks-based-on-hyperparameters-2110.11424</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-memory-consumption-by-neural-networks-based-on-hyperparameters-2110.11424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-memory-consumption-by-neural-networks-based-on-hyperparameters-2110.11424"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-framework-towards-transparency-in-experts-decision-quality-2110.11425</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-framework-towards-transparency-in-experts-decision-quality-2110.11425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-framework-towards-transparency-in-experts-decision-quality-2110.11425"/></url>
<url><loc>https://scifaro.com/en/abs/categorizing-items-with-short-and-noisy-descriptions-using-ensembled-transferred-embeddings-2110.11431</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/categorizing-items-with-short-and-noisy-descriptions-using-ensembled-transferred-embeddings-2110.11431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/categorizing-items-with-short-and-noisy-descriptions-using-ensembled-transferred-embeddings-2110.11431"/></url>
<url><loc>https://scifaro.com/en/abs/off-dynamics-inverse-reinforcement-learning-from-hetero-domain-2110.11443</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-dynamics-inverse-reinforcement-learning-from-hetero-domain-2110.11443"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-dynamics-inverse-reinforcement-learning-from-hetero-domain-2110.11443"/></url>
<url><loc>https://scifaro.com/en/abs/an-emd-based-method-for-the-detection-of-power-transformer-faults-with-a-hierarchical-ensemble-classifier-2110.11451</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-emd-based-method-for-the-detection-of-power-transformer-faults-with-a-hierarchical-ensemble-classifier-2110.11451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-emd-based-method-for-the-detection-of-power-transformer-faults-with-a-hierarchical-ensemble-classifier-2110.11451"/></url>
<url><loc>https://scifaro.com/en/abs/fdgatii-fast-dynamic-graph-attention-with-initial-residual-and-identity-mapping-2110.11464</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fdgatii-fast-dynamic-graph-attention-with-initial-residual-and-identity-mapping-2110.11464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fdgatii-fast-dynamic-graph-attention-with-initial-residual-and-identity-mapping-2110.11464"/></url>
<url><loc>https://scifaro.com/en/abs/mlperf-hpc-a-holistic-benchmark-suite-for-scientific-machine-learning-on-hpc-systems-2110.11466</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mlperf-hpc-a-holistic-benchmark-suite-for-scientific-machine-learning-on-hpc-systems-2110.11466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mlperf-hpc-a-holistic-benchmark-suite-for-scientific-machine-learning-on-hpc-systems-2110.11466"/></url>
<url><loc>https://scifaro.com/en/abs/power-transformer-fault-diagnosis-with-intrinsic-time-scale-decomposition-and-xgboost-classifier-2110.11467</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-transformer-fault-diagnosis-with-intrinsic-time-scale-decomposition-and-xgboost-classifier-2110.11467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-transformer-fault-diagnosis-with-intrinsic-time-scale-decomposition-and-xgboost-classifier-2110.11467"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-resource-constrained-federated-learning-systems-with-guessed-updates-2110.11486</loc><lastmod>2025-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-resource-constrained-federated-learning-systems-with-guessed-updates-2110.11486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-resource-constrained-federated-learning-systems-with-guessed-updates-2110.11486"/></url>
<url><loc>https://scifaro.com/en/abs/wide-neural-networks-forget-less-catastrophically-2110.11526</loc><lastmod>2022-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wide-neural-networks-forget-less-catastrophically-2110.11526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wide-neural-networks-forget-less-catastrophically-2110.11526"/></url>
<url><loc>https://scifaro.com/en/abs/anti-backdoor-learning-training-clean-models-on-poisoned-data-2110.11571</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anti-backdoor-learning-training-clean-models-on-poisoned-data-2110.11571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anti-backdoor-learning-training-clean-models-on-poisoned-data-2110.11571"/></url>
<url><loc>https://scifaro.com/en/abs/protoshotxai-using-prototypical-few-shot-architecture-for-explainable-ai-2110.11597</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/protoshotxai-using-prototypical-few-shot-architecture-for-explainable-ai-2110.11597"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/protoshotxai-using-prototypical-few-shot-architecture-for-explainable-ai-2110.11597"/></url>
<url><loc>https://scifaro.com/en/abs/error-correcting-neural-networks-for-semi-lagrangian-advection-in-the-level-set-method-2110.11611</loc><lastmod>2022-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-correcting-neural-networks-for-semi-lagrangian-advection-in-the-level-set-method-2110.11611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-correcting-neural-networks-for-semi-lagrangian-advection-in-the-level-set-method-2110.11611"/></url>
<url><loc>https://scifaro.com/en/abs/distfl-distribution-aware-federated-learning-for-mobile-scenarios-2110.11619</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distfl-distribution-aware-federated-learning-for-mobile-scenarios-2110.11619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distfl-distribution-aware-federated-learning-for-mobile-scenarios-2110.11619"/></url>
<url><loc>https://scifaro.com/en/abs/diversified-sampling-for-batched-bayesian-optimization-with-determinantal-point-processes-2110.11665</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversified-sampling-for-batched-bayesian-optimization-with-determinantal-point-processes-2110.11665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversified-sampling-for-batched-bayesian-optimization-with-determinantal-point-processes-2110.11665"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-coordinate-descent-for-composite-empirical-risk-minimization-2110.11688</loc><lastmod>2022-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-coordinate-descent-for-composite-empirical-risk-minimization-2110.11688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-coordinate-descent-for-composite-empirical-risk-minimization-2110.11688"/></url>
<url><loc>https://scifaro.com/en/abs/variational-wasserstein-barycenters-with-c-cyclical-monotonicity-2110.11707</loc><lastmod>2022-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-wasserstein-barycenters-with-c-cyclical-monotonicity-2110.11707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-wasserstein-barycenters-with-c-cyclical-monotonicity-2110.11707"/></url>
<url><loc>https://scifaro.com/en/abs/mechanistic-interpretation-of-machine-learning-inference-a-fuzzy-feature-importance-fusion-approach-2110.11713</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mechanistic-interpretation-of-machine-learning-inference-a-fuzzy-feature-importance-fusion-approach-2110.11713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mechanistic-interpretation-of-machine-learning-inference-a-fuzzy-feature-importance-fusion-approach-2110.11713"/></url>
<url><loc>https://scifaro.com/en/abs/mandera-malicious-node-detection-in-federated-learning-via-ranking-2110.11736</loc><lastmod>2026-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mandera-malicious-node-detection-in-federated-learning-via-ranking-2110.11736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mandera-malicious-node-detection-in-federated-learning-via-ranking-2110.11736"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-of-bank-customers-using-lstm-based-encoder-decoder-and-dynamic-time-warping-2110.11769</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-of-bank-customers-using-lstm-based-encoder-decoder-and-dynamic-time-warping-2110.11769"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-of-bank-customers-using-lstm-based-encoder-decoder-and-dynamic-time-warping-2110.11769"/></url>
<url><loc>https://scifaro.com/en/abs/sinkformers-transformers-with-doubly-stochastic-attention-2110.11773</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sinkformers-transformers-with-doubly-stochastic-attention-2110.11773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sinkformers-transformers-with-doubly-stochastic-attention-2110.11773"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-over-wireless-iot-networks-with-optimized-communication-and-resources-2110.11775</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-over-wireless-iot-networks-with-optimized-communication-and-resources-2110.11775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-over-wireless-iot-networks-with-optimized-communication-and-resources-2110.11775"/></url>
<url><loc>https://scifaro.com/en/abs/safe-rules-for-the-identification-of-zeros-in-the-solutions-of-the-slope-problem-2110.11784</loc><lastmod>2022-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-rules-for-the-identification-of-zeros-in-the-solutions-of-the-slope-problem-2110.11784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-rules-for-the-identification-of-zeros-in-the-solutions-of-the-slope-problem-2110.11784"/></url>
<url><loc>https://scifaro.com/en/abs/model-sample-and-epoch-wise-descents-exact-solution-of-gradient-flow-in-the-random-feature-model-2110.11805</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-sample-and-epoch-wise-descents-exact-solution-of-gradient-flow-in-the-random-feature-model-2110.11805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-sample-and-epoch-wise-descents-exact-solution-of-gradient-flow-in-the-random-feature-model-2110.11805"/></url>
<url><loc>https://scifaro.com/en/abs/a-last-switch-dependent-analysis-of-satiation-and-seasonality-in-bandits-2110.11819</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-last-switch-dependent-analysis-of-satiation-and-seasonality-in-bandits-2110.11819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-last-switch-dependent-analysis-of-satiation-and-seasonality-in-bandits-2110.11819"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-machine-learning-for-prescriptive-applications-a-coupled-training-validating-approach-2110.11826</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-machine-learning-for-prescriptive-applications-a-coupled-training-validating-approach-2110.11826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-machine-learning-for-prescriptive-applications-a-coupled-training-validating-approach-2110.11826"/></url>
<url><loc>https://scifaro.com/en/abs/multi-view-contrastive-graph-clustering-2110.11842</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-view-contrastive-graph-clustering-2110.11842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-view-contrastive-graph-clustering-2110.11842"/></url>
<url><loc>https://scifaro.com/en/abs/graph-filtration-kernels-2110.11862</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-filtration-kernels-2110.11862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-filtration-kernels-2110.11862"/></url>
<url><loc>https://scifaro.com/en/abs/patient-level-simulation-and-reinforcement-learning-to-discover-novel-strategies-for-treating-ovarian-cancer-2110.11872</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/patient-level-simulation-and-reinforcement-learning-to-discover-novel-strategies-for-treating-ovarian-cancer-2110.11872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/patient-level-simulation-and-reinforcement-learning-to-discover-novel-strategies-for-treating-ovarian-cancer-2110.11872"/></url>
<url><loc>https://scifaro.com/en/abs/genedisco-a-benchmark-for-experimental-design-in-drug-discovery-2110.11875</loc><lastmod>2021-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/genedisco-a-benchmark-for-experimental-design-in-drug-discovery-2110.11875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/genedisco-a-benchmark-for-experimental-design-in-drug-discovery-2110.11875"/></url>
<url><loc>https://scifaro.com/en/abs/conditionally-gaussian-pac-bayes-2110.11886</loc><lastmod>2022-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditionally-gaussian-pac-bayes-2110.11886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditionally-gaussian-pac-bayes-2110.11886"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-necessity-of-auditable-algorithmic-definitions-for-machine-unlearning-2110.11891</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-necessity-of-auditable-algorithmic-definitions-for-machine-unlearning-2110.11891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-necessity-of-auditable-algorithmic-definitions-for-machine-unlearning-2110.11891"/></url>
<url><loc>https://scifaro.com/en/abs/logical-activation-functions-logit-space-equivalents-of-probabilistic-boolean-operators-2110.11940</loc><lastmod>2022-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logical-activation-functions-logit-space-equivalents-of-probabilistic-boolean-operators-2110.11940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logical-activation-functions-logit-space-equivalents-of-probabilistic-boolean-operators-2110.11940"/></url>
<url><loc>https://scifaro.com/en/abs/learning-proposals-for-practical-energy-based-regression-2110.11948</loc><lastmod>2023-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-proposals-for-practical-energy-based-regression-2110.11948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-proposals-for-practical-energy-based-regression-2110.11948"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-for-latent-models-revisiting-the-robust-standard-accuracies-tradeoff-2110.11950</loc><lastmod>2022-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-for-latent-models-revisiting-the-robust-standard-accuracies-tradeoff-2110.11950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-for-latent-models-revisiting-the-robust-standard-accuracies-tradeoff-2110.11950"/></url>
<url><loc>https://scifaro.com/en/abs/relax-reinforcement-learning-agent-explainer-for-arbitrary-predictive-models-2110.11960</loc><lastmod>2023-08-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relax-reinforcement-learning-agent-explainer-for-arbitrary-predictive-models-2110.11960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relax-reinforcement-learning-agent-explainer-for-arbitrary-predictive-models-2110.11960"/></url>
<url><loc>https://scifaro.com/en/abs/improving-robustness-of-malware-classifiers-using-adversarial-strings-generated-from-perturbed-latent-representations-2110.11987</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-robustness-of-malware-classifiers-using-adversarial-strings-generated-from-perturbed-latent-representations-2110.11987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-robustness-of-malware-classifiers-using-adversarial-strings-generated-from-perturbed-latent-representations-2110.11987"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-in-missing-data-imputation-2110.12002</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-in-missing-data-imputation-2110.12002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-in-missing-data-imputation-2110.12002"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-degrading-adversarial-attacks-against-clustering-algorithms-2110.12020</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-degrading-adversarial-attacks-against-clustering-algorithms-2110.12020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-degrading-adversarial-attacks-against-clustering-algorithms-2110.12020"/></url>
<url><loc>https://scifaro.com/en/abs/a-prototype-oriented-framework-for-unsupervised-domain-adaptation-2110.12024</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-prototype-oriented-framework-for-unsupervised-domain-adaptation-2110.12024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-prototype-oriented-framework-for-unsupervised-domain-adaptation-2110.12024"/></url>
<url><loc>https://scifaro.com/en/abs/distance-wise-prototypical-graph-neural-network-in-node-imbalance-classification-2110.12035</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-wise-prototypical-graph-neural-network-in-node-imbalance-classification-2110.12035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-wise-prototypical-graph-neural-network-in-node-imbalance-classification-2110.12035"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-causal-structure-learning-in-the-presence-of-latent-variables-and-selection-bias-2110.12036</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-causal-structure-learning-in-the-presence-of-latent-variables-and-selection-bias-2110.12036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-causal-structure-learning-in-the-presence-of-latent-variables-and-selection-bias-2110.12036"/></url>
<url><loc>https://scifaro.com/en/abs/a-taxonomy-for-inference-in-causal-model-families-2110.12052</loc><lastmod>2022-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-taxonomy-for-inference-in-causal-model-families-2110.12052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-taxonomy-for-inference-in-causal-model-families-2110.12052"/></url>
<url><loc>https://scifaro.com/en/abs/deepag-deep-learning-approach-for-measuring-the-effects-of-outlier-events-on-agricultural-production-and-policy-2110.12062</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepag-deep-learning-approach-for-measuring-the-effects-of-outlier-events-on-agricultural-production-and-policy-2110.12062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepag-deep-learning-approach-for-measuring-the-effects-of-outlier-events-on-agricultural-production-and-policy-2110.12062"/></url>
<url><loc>https://scifaro.com/en/abs/causal-effect-identification-with-context-specific-independence-relations-of-control-variables-2110.12064</loc><lastmod>2022-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-effect-identification-with-context-specific-independence-relations-of-control-variables-2110.12064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-effect-identification-with-context-specific-independence-relations-of-control-variables-2110.12064"/></url>
<url><loc>https://scifaro.com/en/abs/the-causal-loss-driving-correlation-to-imply-causation-2110.12066</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-causal-loss-driving-correlation-to-imply-causation-2110.12066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-causal-loss-driving-correlation-to-imply-causation-2110.12066"/></url>
<url><loc>https://scifaro.com/en/abs/how-and-when-adversarial-robustness-transfers-in-knowledge-distillation-2110.12072</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-and-when-adversarial-robustness-transfers-in-knowledge-distillation-2110.12072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-and-when-adversarial-robustness-transfers-in-knowledge-distillation-2110.12072"/></url>
<url><loc>https://scifaro.com/en/abs/applications-of-generative-adversarial-networks-in-anomaly-detection-a-systematic-literature-review-2110.12076</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applications-of-generative-adversarial-networks-in-anomaly-detection-a-systematic-literature-review-2110.12076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applications-of-generative-adversarial-networks-in-anomaly-detection-a-systematic-literature-review-2110.12076"/></url>
<url><loc>https://scifaro.com/en/abs/c-planning-an-automatic-curriculum-for-learning-goal-reaching-tasks-2110.12080</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/c-planning-an-automatic-curriculum-for-learning-goal-reaching-tasks-2110.12080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/c-planning-an-automatic-curriculum-for-learning-goal-reaching-tasks-2110.12080"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-reinforcement-learning-with-optimistic-exploration-and-distribution-correction-2110.12081</loc><lastmod>2022-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-reinforcement-learning-with-optimistic-exploration-and-distribution-correction-2110.12081"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-reinforcement-learning-with-optimistic-exploration-and-distribution-correction-2110.12081"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-sampling-and-optimization-with-approximate-upper-and-lower-bounds-2110.12087</loc><lastmod>2022-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-sampling-and-optimization-with-approximate-upper-and-lower-bounds-2110.12087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-sampling-and-optimization-with-approximate-upper-and-lower-bounds-2110.12087"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-noisy-labels-revisited-a-study-using-real-world-human-annotations-2110.12088</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-noisy-labels-revisited-a-study-using-real-world-human-annotations-2110.12088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-noisy-labels-revisited-a-study-using-real-world-human-annotations-2110.12088"/></url>
<url><loc>https://scifaro.com/en/abs/contrastively-disentangled-sequential-variational-autoencoder-2110.12091</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastively-disentangled-sequential-variational-autoencoder-2110.12091"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastively-disentangled-sequential-variational-autoencoder-2110.12091"/></url>
<url><loc>https://scifaro.com/en/abs/conformallayers-a-non-linear-sequential-neural-network-with-associative-layers-2110.12108</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conformallayers-a-non-linear-sequential-neural-network-with-associative-layers-2110.12108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conformallayers-a-non-linear-sequential-neural-network-with-associative-layers-2110.12108"/></url>
<url><loc>https://scifaro.com/en/abs/improve-high-level-classification-with-a-more-sensitive-metric-and-optimization-approach-for-complex-network-building-2110.12111</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improve-high-level-classification-with-a-more-sensitive-metric-and-optimization-approach-for-complex-network-building-2110.12111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improve-high-level-classification-with-a-more-sensitive-metric-and-optimization-approach-for-complex-network-building-2110.12111"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-recurrent-neural-networks-to-simultaneously-infer-mode-and-purpose-in-gps-trajectories-2110.12113</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-recurrent-neural-networks-to-simultaneously-infer-mode-and-purpose-in-gps-trajectories-2110.12113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-recurrent-neural-networks-to-simultaneously-infer-mode-and-purpose-in-gps-trajectories-2110.12113"/></url>
<url><loc>https://scifaro.com/en/abs/bandits-with-dynamic-arm-acquisition-costs-2110.12118</loc><lastmod>2022-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bandits-with-dynamic-arm-acquisition-costs-2110.12118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bandits-with-dynamic-arm-acquisition-costs-2110.12118"/></url>
<url><loc>https://scifaro.com/en/abs/quantifying-epistemic-uncertainty-in-deep-learning-2110.12122</loc><lastmod>2023-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifying-epistemic-uncertainty-in-deep-learning-2110.12122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifying-epistemic-uncertainty-in-deep-learning-2110.12122"/></url>
<url><loc>https://scifaro.com/en/abs/foresight-of-graph-reinforcement-learning-latent-permutations-learnt-by-gumbel-sinkhorn-network-2110.12144</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/foresight-of-graph-reinforcement-learning-latent-permutations-learnt-by-gumbel-sinkhorn-network-2110.12144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/foresight-of-graph-reinforcement-learning-latent-permutations-learnt-by-gumbel-sinkhorn-network-2110.12144"/></url>
<url><loc>https://scifaro.com/en/abs/event-detection-on-dynamic-graphs-2110.12148</loc><lastmod>2023-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/event-detection-on-dynamic-graphs-2110.12148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/event-detection-on-dynamic-graphs-2110.12148"/></url>
<url><loc>https://scifaro.com/en/abs/multi-armed-bandit-algorithm-against-strategic-replication-2110.12160</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-armed-bandit-algorithm-against-strategic-replication-2110.12160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-armed-bandit-algorithm-against-strategic-replication-2110.12160"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-smartphone-cluster-for-deep-learning-2110.12172</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-smartphone-cluster-for-deep-learning-2110.12172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-smartphone-cluster-for-deep-learning-2110.12172"/></url>
<url><loc>https://scifaro.com/en/abs/domain-adaptation-via-maximizing-surrogate-mutual-information-2110.12184</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-adaptation-via-maximizing-surrogate-mutual-information-2110.12184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-adaptation-via-maximizing-surrogate-mutual-information-2110.12184"/></url>
<url><loc>https://scifaro.com/en/abs/group-disentangled-representation-learning-with-weakly-supervised-regularization-2110.12185</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-disentangled-representation-learning-with-weakly-supervised-regularization-2110.12185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-disentangled-representation-learning-with-weakly-supervised-regularization-2110.12185"/></url>
<url><loc>https://scifaro.com/en/abs/afec-active-forgetting-of-negative-transfer-in-continual-learning-2110.12187</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/afec-active-forgetting-of-negative-transfer-in-continual-learning-2110.12187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/afec-active-forgetting-of-negative-transfer-in-continual-learning-2110.12187"/></url>
<url><loc>https://scifaro.com/en/abs/prompt-parallel-iterative-algorithm-for-ell-p-norm-linear-regression-via-majorization-minimization-with-an-application-to-semi-supervised-graph-learning-2110.12190</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prompt-parallel-iterative-algorithm-for-ell-p-norm-linear-regression-via-majorization-minimization-with-an-application-to-semi-supervised-graph-learning-2110.12190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prompt-parallel-iterative-algorithm-for-ell-p-norm-linear-regression-via-majorization-minimization-with-an-application-to-semi-supervised-graph-learning-2110.12190"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-robust-differentiable-architecture-search-under-label-noise-2110.12197</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-robust-differentiable-architecture-search-under-label-noise-2110.12197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-robust-differentiable-architecture-search-under-label-noise-2110.12197"/></url>
<url><loc>https://scifaro.com/en/abs/learning-curves-for-gaussian-process-regression-with-power-law-priors-and-targets-2110.12231</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-curves-for-gaussian-process-regression-with-power-law-priors-and-targets-2110.12231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-curves-for-gaussian-process-regression-with-power-law-priors-and-targets-2110.12231"/></url>
<url><loc>https://scifaro.com/en/abs/policy-search-using-dynamic-mirror-descent-mpc-for-model-free-off-policy-rl-2110.12239</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-search-using-dynamic-mirror-descent-mpc-for-model-free-off-policy-rl-2110.12239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-search-using-dynamic-mirror-descent-mpc-for-model-free-off-policy-rl-2110.12239"/></url>
<url><loc>https://scifaro.com/en/abs/game-of-gradients-mitigating-irrelevant-clients-in-federated-learning-2110.12257</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/game-of-gradients-mitigating-irrelevant-clients-in-federated-learning-2110.12257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/game-of-gradients-mitigating-irrelevant-clients-in-federated-learning-2110.12257"/></url>
<url><loc>https://scifaro.com/en/abs/in-search-of-probeable-generalization-measures-2110.12259</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-search-of-probeable-generalization-measures-2110.12259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-search-of-probeable-generalization-measures-2110.12259"/></url>
<url><loc>https://scifaro.com/en/abs/coarse-grained-smoothness-for-rl-in-metric-spaces-2110.12276</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coarse-grained-smoothness-for-rl-in-metric-spaces-2110.12276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coarse-grained-smoothness-for-rl-in-metric-spaces-2110.12276"/></url>
<url><loc>https://scifaro.com/en/abs/scha-vae-hierarchical-context-aggregation-for-few-shot-generation-2110.12279</loc><lastmod>2022-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scha-vae-hierarchical-context-aggregation-for-few-shot-generation-2110.12279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scha-vae-hierarchical-context-aggregation-for-few-shot-generation-2110.12279"/></url>
<url><loc>https://scifaro.com/en/abs/federated-multiple-label-hashing-fedmlh-communication-efficient-federated-learning-on-extreme-classification-tasks-2110.12292</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-multiple-label-hashing-fedmlh-communication-efficient-federated-learning-on-extreme-classification-tasks-2110.12292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-multiple-label-hashing-fedmlh-communication-efficient-federated-learning-on-extreme-classification-tasks-2110.12292"/></url>
<url><loc>https://scifaro.com/en/abs/map-induction-compositional-spatial-submap-learning-for-efficient-exploration-in-novel-environments-2110.12301</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/map-induction-compositional-spatial-submap-learning-for-efficient-exploration-in-novel-environments-2110.12301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/map-induction-compositional-spatial-submap-learning-for-efficient-exploration-in-novel-environments-2110.12301"/></url>
<url><loc>https://scifaro.com/en/abs/fully-distributed-actor-critic-architecture-for-multitask-deep-reinforcement-learning-2110.12306</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-distributed-actor-critic-architecture-for-multitask-deep-reinforcement-learning-2110.12306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-distributed-actor-critic-architecture-for-multitask-deep-reinforcement-learning-2110.12306"/></url>
<url><loc>https://scifaro.com/en/abs/a-layer-wise-adversarial-aware-quantization-optimization-for-improving-robustness-2110.12308</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-layer-wise-adversarial-aware-quantization-optimization-for-improving-robustness-2110.12308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-layer-wise-adversarial-aware-quantization-optimization-for-improving-robustness-2110.12308"/></url>
<url><loc>https://scifaro.com/en/abs/vector-optimization-with-stochastic-bandit-feedback-2110.12311</loc><lastmod>2023-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vector-optimization-with-stochastic-bandit-feedback-2110.12311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vector-optimization-with-stochastic-bandit-feedback-2110.12311"/></url>
<url><loc>https://scifaro.com/en/abs/non-asymptotic-error-bounds-for-bidirectional-gans-2110.12319</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-asymptotic-error-bounds-for-bidirectional-gans-2110.12319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-asymptotic-error-bounds-for-bidirectional-gans-2110.12319"/></url>
<url><loc>https://scifaro.com/en/abs/improving-spectral-clustering-using-spectrum-preserving-node-aggregation-2110.12328</loc><lastmod>2023-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-spectral-clustering-using-spectrum-preserving-node-aggregation-2110.12328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-spectral-clustering-using-spectrum-preserving-node-aggregation-2110.12328"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-evaluation-in-partially-observed-markov-decision-processes-under-sequential-ignorability-2110.12343</loc><lastmod>2023-05-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-evaluation-in-partially-observed-markov-decision-processes-under-sequential-ignorability-2110.12343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-evaluation-in-partially-observed-markov-decision-processes-under-sequential-ignorability-2110.12343"/></url>
<url><loc>https://scifaro.com/en/abs/a-broader-picture-of-random-walk-based-graph-embedding-2110.12344</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-broader-picture-of-random-walk-based-graph-embedding-2110.12344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-broader-picture-of-random-walk-based-graph-embedding-2110.12344"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-conceptually-simple-defensive-approach-for-few-shot-classifiers-against-adversarial-support-samples-2110.12357</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-conceptually-simple-defensive-approach-for-few-shot-classifiers-against-adversarial-support-samples-2110.12357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-conceptually-simple-defensive-approach-for-few-shot-classifiers-against-adversarial-support-samples-2110.12357"/></url>
<url><loc>https://scifaro.com/en/abs/self-learned-intelligence-for-integrated-decision-and-control-of-automated-vehicles-at-signalized-intersections-2110.12359</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-learned-intelligence-for-integrated-decision-and-control-of-automated-vehicles-at-signalized-intersections-2110.12359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-learned-intelligence-for-integrated-decision-and-control-of-automated-vehicles-at-signalized-intersections-2110.12359"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-for-simultaneous-inference-of-hydraulic-and-transport-properties-2110.12367</loc><lastmod>2022-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-for-simultaneous-inference-of-hydraulic-and-transport-properties-2110.12367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-for-simultaneous-inference-of-hydraulic-and-transport-properties-2110.12367"/></url>
<url><loc>https://scifaro.com/en/abs/sensemag-enabling-low-cost-traffic-monitoring-using-non-invasive-magnetic-sensing-2110.12377</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sensemag-enabling-low-cost-traffic-monitoring-using-non-invasive-magnetic-sensing-2110.12377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sensemag-enabling-low-cost-traffic-monitoring-using-non-invasive-magnetic-sensing-2110.12377"/></url>
<url><loc>https://scifaro.com/en/abs/regularizing-variational-autoencoder-with-diversity-and-uncertainty-awareness-2110.12381</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularizing-variational-autoencoder-with-diversity-and-uncertainty-awareness-2110.12381"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularizing-variational-autoencoder-with-diversity-and-uncertainty-awareness-2110.12381"/></url>
<url><loc>https://scifaro.com/en/abs/binas-bilinear-interpretable-neural-architecture-search-2110.12399</loc><lastmod>2022-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binas-bilinear-interpretable-neural-architecture-search-2110.12399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binas-bilinear-interpretable-neural-architecture-search-2110.12399"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-estimate-without-bias-2110.12403</loc><lastmod>2023-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-estimate-without-bias-2110.12403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-estimate-without-bias-2110.12403"/></url>
<url><loc>https://scifaro.com/en/abs/kernelized-heterogeneous-risk-minimization-2110.12425</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernelized-heterogeneous-risk-minimization-2110.12425"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernelized-heterogeneous-risk-minimization-2110.12425"/></url>
<url><loc>https://scifaro.com/en/abs/non-convex-distributionally-robust-optimization-non-asymptotic-analysis-2110.12459</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-convex-distributionally-robust-optimization-non-asymptotic-analysis-2110.12459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-convex-distributionally-robust-optimization-non-asymptotic-analysis-2110.12459"/></url>
<url><loc>https://scifaro.com/en/abs/false-correlation-reduction-for-offline-reinforcement-learning-2110.12468</loc><lastmod>2023-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/false-correlation-reduction-for-offline-reinforcement-learning-2110.12468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/false-correlation-reduction-for-offline-reinforcement-learning-2110.12468"/></url>
<url><loc>https://scifaro.com/en/abs/enabling-large-batch-size-training-for-dnn-models-beyond-the-memory-limit-while-maintaining-performance-2110.12484</loc><lastmod>2024-07-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enabling-large-batch-size-training-for-dnn-models-beyond-the-memory-limit-while-maintaining-performance-2110.12484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enabling-large-batch-size-training-for-dnn-models-beyond-the-memory-limit-while-maintaining-performance-2110.12484"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-neural-program-synthesis-with-distribution-based-search-2110.12485</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-neural-program-synthesis-with-distribution-based-search-2110.12485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-neural-program-synthesis-with-distribution-based-search-2110.12485"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-on-eeg-signals-to-predict-auditory-attention-score-using-gramian-angular-difference-field-2110.12503</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-on-eeg-signals-to-predict-auditory-attention-score-using-gramian-angular-difference-field-2110.12503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-on-eeg-signals-to-predict-auditory-attention-score-using-gramian-angular-difference-field-2110.12503"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-model-drift-using-polynomial-relations-2110.12506</loc><lastmod>2021-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-model-drift-using-polynomial-relations-2110.12506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-model-drift-using-polynomial-relations-2110.12506"/></url>
<url><loc>https://scifaro.com/en/abs/learning-convex-regularizers-satisfying-the-variational-source-condition-for-inverse-problems-2110.12520</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-convex-regularizers-satisfying-the-variational-source-condition-for-inverse-problems-2110.12520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-convex-regularizers-satisfying-the-variational-source-condition-for-inverse-problems-2110.12520"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-world-through-action-2110.12543</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-world-through-action-2110.12543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-world-through-action-2110.12543"/></url>
<url><loc>https://scifaro.com/en/abs/online-estimation-and-control-with-optimal-pathlength-regret-2110.12544</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-estimation-and-control-with-optimal-pathlength-regret-2110.12544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-estimation-and-control-with-optimal-pathlength-regret-2110.12544"/></url>
<url><loc>https://scifaro.com/en/abs/alignment-attention-by-matching-key-and-query-distributions-2110.12567</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alignment-attention-by-matching-key-and-query-distributions-2110.12567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alignment-attention-by-matching-key-and-query-distributions-2110.12567"/></url>
<url><loc>https://scifaro.com/en/abs/quantifyml-how-good-is-my-machine-learning-model-2110.12588</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantifyml-how-good-is-my-machine-learning-model-2110.12588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantifyml-how-good-is-my-machine-learning-model-2110.12588"/></url>
<url><loc>https://scifaro.com/en/abs/common-information-based-approximate-state-representations-in-multi-agent-reinforcement-learning-2110.12603</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/common-information-based-approximate-state-representations-in-multi-agent-reinforcement-learning-2110.12603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/common-information-based-approximate-state-representations-in-multi-agent-reinforcement-learning-2110.12603"/></url>
<url><loc>https://scifaro.com/en/abs/least-square-calibration-for-peer-review-2110.12607</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/least-square-calibration-for-peer-review-2110.12607"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/least-square-calibration-for-peer-review-2110.12607"/></url>
<url><loc>https://scifaro.com/en/abs/linear-contextual-bandits-with-adversarial-corruptions-2110.12615</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-contextual-bandits-with-adversarial-corruptions-2110.12615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-contextual-bandits-with-adversarial-corruptions-2110.12615"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-off-policy-baselines-for-memory-based-continuous-control-2110.12628</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-off-policy-baselines-for-memory-based-continuous-control-2110.12628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-off-policy-baselines-for-memory-based-continuous-control-2110.12628"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-density-estimation-based-sampling-for-neural-network-classification-2110.12644</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-density-estimation-based-sampling-for-neural-network-classification-2110.12644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-density-estimation-based-sampling-for-neural-network-classification-2110.12644"/></url>
<url><loc>https://scifaro.com/en/abs/operator-shifting-for-model-based-policy-evaluation-2110.12658</loc><lastmod>2023-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/operator-shifting-for-model-based-policy-evaluation-2110.12658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/operator-shifting-for-model-based-policy-evaluation-2110.12658"/></url>
<url><loc>https://scifaro.com/en/abs/zero-initialization-initializing-neural-networks-with-only-zeros-and-ones-2110.12661</loc><lastmod>2022-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zero-initialization-initializing-neural-networks-with-only-zeros-and-ones-2110.12661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zero-initialization-initializing-neural-networks-with-only-zeros-and-ones-2110.12661"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-of-variational-experts-for-continual-learning-2110.12667</loc><lastmod>2022-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-of-variational-experts-for-continual-learning-2110.12667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-of-variational-experts-for-continual-learning-2110.12667"/></url>
<url><loc>https://scifaro.com/en/abs/a-dynamical-system-perspective-for-lipschitz-neural-networks-2110.12690</loc><lastmod>2022-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dynamical-system-perspective-for-lipschitz-neural-networks-2110.12690"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dynamical-system-perspective-for-lipschitz-neural-networks-2110.12690"/></url>
<url><loc>https://scifaro.com/en/abs/learning-stochastic-shortest-path-with-linear-function-approximation-2110.12727</loc><lastmod>2022-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-stochastic-shortest-path-with-linear-function-approximation-2110.12727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-stochastic-shortest-path-with-linear-function-approximation-2110.12727"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-gaussian-processes-on-graphs-via-spectral-graph-wavelets-2110.12752</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-gaussian-processes-on-graphs-via-spectral-graph-wavelets-2110.12752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-gaussian-processes-on-graphs-via-spectral-graph-wavelets-2110.12752"/></url>
<url><loc>https://scifaro.com/en/abs/ssmf-shifting-seasonal-matrix-factorization-2110.12763</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ssmf-shifting-seasonal-matrix-factorization-2110.12763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ssmf-shifting-seasonal-matrix-factorization-2110.12763"/></url>
<url><loc>https://scifaro.com/en/abs/dp-xgboost-private-machine-learning-at-scale-2110.12770</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dp-xgboost-private-machine-learning-at-scale-2110.12770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dp-xgboost-private-machine-learning-at-scale-2110.12770"/></url>
<url><loc>https://scifaro.com/en/abs/scientific-machine-learning-benchmarks-2110.12773</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scientific-machine-learning-benchmarks-2110.12773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scientific-machine-learning-benchmarks-2110.12773"/></url>
<url><loc>https://scifaro.com/en/abs/learning-what-to-memorize-using-intrinsic-motivation-to-form-useful-memory-in-partially-observable-reinforcement-learning-2110.12810</loc><lastmod>2023-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-what-to-memorize-using-intrinsic-motivation-to-form-useful-memory-in-partially-observable-reinforcement-learning-2110.12810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-what-to-memorize-using-intrinsic-motivation-to-form-useful-memory-in-partially-observable-reinforcement-learning-2110.12810"/></url>
<url><loc>https://scifaro.com/en/abs/debiasing-credit-scoring-using-evolutionary-algorithms-2110.12838</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/debiasing-credit-scoring-using-evolutionary-algorithms-2110.12838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/debiasing-credit-scoring-using-evolutionary-algorithms-2110.12838"/></url>
<url><loc>https://scifaro.com/en/abs/self-consistent-models-and-values-2110.12840</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-consistent-models-and-values-2110.12840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-consistent-models-and-values-2110.12840"/></url>
<url><loc>https://scifaro.com/en/abs/fedparking-a-federated-learning-based-parking-space-estimation-with-parked-vehicle-assisted-edge-computing-2110.12876</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedparking-a-federated-learning-based-parking-space-estimation-with-parked-vehicle-assisted-edge-computing-2110.12876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedparking-a-federated-learning-based-parking-space-estimation-with-parked-vehicle-assisted-edge-computing-2110.12876"/></url>
<url><loc>https://scifaro.com/en/abs/employing-chunk-size-adaptation-to-overcome-concept-drift-2110.12881</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/employing-chunk-size-adaptation-to-overcome-concept-drift-2110.12881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/employing-chunk-size-adaptation-to-overcome-concept-drift-2110.12881"/></url>
<url><loc>https://scifaro.com/en/abs/decaf-generating-fair-synthetic-data-using-causally-aware-generative-networks-2110.12884</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decaf-generating-fair-synthetic-data-using-causally-aware-generative-networks-2110.12884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decaf-generating-fair-synthetic-data-using-causally-aware-generative-networks-2110.12884"/></url>
<url><loc>https://scifaro.com/en/abs/the-efficiency-misnomer-2110.12894</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-efficiency-misnomer-2110.12894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-efficiency-misnomer-2110.12894"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-ps-and-abs-black-plastics-for-weee-recycling-applications-2110.12896</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-ps-and-abs-black-plastics-for-weee-recycling-applications-2110.12896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-ps-and-abs-black-plastics-for-weee-recycling-applications-2110.12896"/></url>
<url><loc>https://scifaro.com/en/abs/no-one-representation-to-rule-them-all-overlapping-features-of-training-methods-2110.12899</loc><lastmod>2022-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-one-representation-to-rule-them-all-overlapping-features-of-training-methods-2110.12899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-one-representation-to-rule-them-all-overlapping-features-of-training-methods-2110.12899"/></url>
<url><loc>https://scifaro.com/en/abs/tackling-the-local-bias-in-federated-graph-learning-2110.12906</loc><lastmod>2024-08-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tackling-the-local-bias-in-federated-graph-learning-2110.12906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tackling-the-local-bias-in-federated-graph-learning-2110.12906"/></url>
<url><loc>https://scifaro.com/en/abs/instance-dependent-partial-label-learning-2110.12911</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/instance-dependent-partial-label-learning-2110.12911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/instance-dependent-partial-label-learning-2110.12911"/></url>
<url><loc>https://scifaro.com/en/abs/on-slowly-varying-non-stationary-bandits-2110.12916</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-slowly-varying-non-stationary-bandits-2110.12916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-slowly-varying-non-stationary-bandits-2110.12916"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-model-averaging-towards-personalized-collaborative-learning-2110.12946</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-model-averaging-towards-personalized-collaborative-learning-2110.12946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-model-averaging-towards-personalized-collaborative-learning-2110.12946"/></url>
<url><loc>https://scifaro.com/en/abs/seeing-biodiversity-perspectives-in-machine-learning-for-wildlife-conservation-2110.12951</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seeing-biodiversity-perspectives-in-machine-learning-for-wildlife-conservation-2110.12951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seeing-biodiversity-perspectives-in-machine-learning-for-wildlife-conservation-2110.12951"/></url>
<url><loc>https://scifaro.com/en/abs/stable-neural-ode-with-lyapunov-stable-equilibrium-points-for-defending-against-adversarial-attacks-2110.12976</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-neural-ode-with-lyapunov-stable-equilibrium-points-for-defending-against-adversarial-attacks-2110.12976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-neural-ode-with-lyapunov-stable-equilibrium-points-for-defending-against-adversarial-attacks-2110.12976"/></url>
<url><loc>https://scifaro.com/en/abs/goal-aware-cross-entropy-for-multi-target-reinforcement-learning-2110.12985</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/goal-aware-cross-entropy-for-multi-target-reinforcement-learning-2110.12985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/goal-aware-cross-entropy-for-multi-target-reinforcement-learning-2110.12985"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-based-genqsgd-for-federated-edge-learning-2110.12987</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-based-genqsgd-for-federated-edge-learning-2110.12987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-based-genqsgd-for-federated-edge-learning-2110.12987"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-domain-adaptation-with-dynamics-aware-rewards-in-reinforcement-learning-2110.12997</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-with-dynamics-aware-rewards-in-reinforcement-learning-2110.12997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-domain-adaptation-with-dynamics-aware-rewards-in-reinforcement-learning-2110.12997"/></url>
<url><loc>https://scifaro.com/en/abs/axonn-an-asynchronous-message-driven-parallel-framework-for-extreme-scale-deep-learning-2110.13005</loc><lastmod>2023-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/axonn-an-asynchronous-message-driven-parallel-framework-for-extreme-scale-deep-learning-2110.13005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/axonn-an-asynchronous-message-driven-parallel-framework-for-extreme-scale-deep-learning-2110.13005"/></url>
<url><loc>https://scifaro.com/en/abs/ml-based-analysis-to-identify-speech-features-relevant-in-predicting-alzheimer-s-disease-2110.13023</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ml-based-analysis-to-identify-speech-features-relevant-in-predicting-alzheimer-s-disease-2110.13023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ml-based-analysis-to-identify-speech-features-relevant-in-predicting-alzheimer-s-disease-2110.13023"/></url>
<url><loc>https://scifaro.com/en/abs/fair-enough-searching-for-sufficient-measures-of-fairness-2110.13029</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-enough-searching-for-sufficient-measures-of-fairness-2110.13029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-enough-searching-for-sufficient-measures-of-fairness-2110.13029"/></url>
<url><loc>https://scifaro.com/en/abs/neural-flows-efficient-alternative-to-neural-odes-2110.13040</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-flows-efficient-alternative-to-neural-odes-2110.13040"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-flows-efficient-alternative-to-neural-odes-2110.13040"/></url>
<url><loc>https://scifaro.com/en/abs/applications-and-techniques-for-fast-machine-learning-in-science-2110.13041</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/applications-and-techniques-for-fast-machine-learning-in-science-2110.13041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/applications-and-techniques-for-fast-machine-learning-in-science-2110.13041"/></url>
<url><loc>https://scifaro.com/en/abs/can-q-learning-be-improved-with-advice-2110.13052</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-q-learning-be-improved-with-advice-2110.13052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-q-learning-be-improved-with-advice-2110.13052"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-data-debiasing-through-bounded-exploration-2110.13054</loc><lastmod>2023-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-data-debiasing-through-bounded-exploration-2110.13054"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-data-debiasing-through-bounded-exploration-2110.13054"/></url>
<url><loc>https://scifaro.com/en/abs/robbing-the-fed-directly-obtaining-private-data-in-federated-learning-with-modified-models-2110.13057</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robbing-the-fed-directly-obtaining-private-data-in-federated-learning-with-modified-models-2110.13057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robbing-the-fed-directly-obtaining-private-data-in-federated-learning-with-modified-models-2110.13057"/></url>
<url><loc>https://scifaro.com/en/abs/uniformly-conservative-exploration-in-reinforcement-learning-2110.13060</loc><lastmod>2023-02-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uniformly-conservative-exploration-in-reinforcement-learning-2110.13060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uniformly-conservative-exploration-in-reinforcement-learning-2110.13060"/></url>
<url><loc>https://scifaro.com/en/abs/automtl-a-programming-framework-for-automating-efficient-multi-task-learning-2110.13076</loc><lastmod>2022-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automtl-a-programming-framework-for-automating-efficient-multi-task-learning-2110.13076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automtl-a-programming-framework-for-automating-efficient-multi-task-learning-2110.13076"/></url>
<url><loc>https://scifaro.com/en/abs/which-model-to-trust-assessing-the-influence-of-models-on-the-performance-of-reinforcement-learning-algorithms-for-continuous-control-tasks-2110.13079</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-model-to-trust-assessing-the-influence-of-models-on-the-performance-of-reinforcement-learning-algorithms-for-continuous-control-tasks-2110.13079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-model-to-trust-assessing-the-influence-of-models-on-the-performance-of-reinforcement-learning-algorithms-for-continuous-control-tasks-2110.13079"/></url>
<url><loc>https://scifaro.com/en/abs/gophormer-ego-graph-transformer-for-node-classification-2110.13094</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gophormer-ego-graph-transformer-for-node-classification-2110.13094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gophormer-ego-graph-transformer-for-node-classification-2110.13094"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-prediction-for-unseen-deep-architectures-2110.13100</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-prediction-for-unseen-deep-architectures-2110.13100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-prediction-for-unseen-deep-architectures-2110.13100"/></url>
<url><loc>https://scifaro.com/en/abs/latent-insensitive-autoencoders-for-anomaly-detection-2110.13101</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-insensitive-autoencoders-for-anomaly-detection-2110.13101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-insensitive-autoencoders-for-anomaly-detection-2110.13101"/></url>
<url><loc>https://scifaro.com/en/abs/shift-of-pairwise-similarities-for-data-clustering-2110.13103</loc><lastmod>2025-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shift-of-pairwise-similarities-for-data-clustering-2110.13103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shift-of-pairwise-similarities-for-data-clustering-2110.13103"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-wandering-behavior-of-people-with-dementia-2110.13128</loc><lastmod>2021-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-wandering-behavior-of-people-with-dementia-2110.13128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-wandering-behavior-of-people-with-dementia-2110.13128"/></url>
<url><loc>https://scifaro.com/en/abs/what-would-jiminy-cricket-do-towards-agents-that-behave-morally-2110.13136</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-would-jiminy-cricket-do-towards-agents-that-behave-morally-2110.13136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-would-jiminy-cricket-do-towards-agents-that-behave-morally-2110.13136"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-hierarchical-forecasting-with-deep-poisson-mixtures-2110.13179</loc><lastmod>2023-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-hierarchical-forecasting-with-deep-poisson-mixtures-2110.13179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-hierarchical-forecasting-with-deep-poisson-mixtures-2110.13179"/></url>
<url><loc>https://scifaro.com/en/abs/simultaneous-perturbation-method-for-multi-task-weight-optimization-in-one-shot-meta-learning-2110.13188</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simultaneous-perturbation-method-for-multi-task-weight-optimization-in-one-shot-meta-learning-2110.13188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simultaneous-perturbation-method-for-multi-task-weight-optimization-in-one-shot-meta-learning-2110.13188"/></url>
<url><loc>https://scifaro.com/en/abs/covariance-generalized-matching-component-analysis-for-data-fusion-and-transfer-learning-2110.13194</loc><lastmod>2022-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covariance-generalized-matching-component-analysis-for-data-fusion-and-transfer-learning-2110.13194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covariance-generalized-matching-component-analysis-for-data-fusion-and-transfer-learning-2110.13194"/></url>
<url><loc>https://scifaro.com/en/abs/nested-graph-neural-networks-2110.13197</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-graph-neural-networks-2110.13197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-graph-neural-networks-2110.13197"/></url>
<url><loc>https://scifaro.com/en/abs/transportation-scenario-planning-with-graph-neural-networks-2110.13202</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transportation-scenario-planning-with-graph-neural-networks-2110.13202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transportation-scenario-planning-with-graph-neural-networks-2110.13202"/></url>
<url><loc>https://scifaro.com/en/abs/a-probabilistic-framework-for-knowledge-graph-data-augmentation-2110.13205</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probabilistic-framework-for-knowledge-graph-data-augmentation-2110.13205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probabilistic-framework-for-knowledge-graph-data-augmentation-2110.13205"/></url>
<url><loc>https://scifaro.com/en/abs/demystifying-and-generalizing-binaryconnect-2110.13220</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-and-generalizing-binaryconnect-2110.13220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-and-generalizing-binaryconnect-2110.13220"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-prediction-focused-mixtures-2110.13221</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-prediction-focused-mixtures-2110.13221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-prediction-focused-mixtures-2110.13221"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-and-benchmarking-natural-out-of-context-prediction-problems-2110.13223</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-and-benchmarking-natural-out-of-context-prediction-problems-2110.13223"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-and-benchmarking-natural-out-of-context-prediction-problems-2110.13223"/></url>
<url><loc>https://scifaro.com/en/abs/variational-framework-for-partially-measured-physical-system-control-examples-of-vision-neuroscience-and-optical-random-media-2110.13228</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-framework-for-partially-measured-physical-system-control-examples-of-vision-neuroscience-and-optical-random-media-2110.13228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-framework-for-partially-measured-physical-system-control-examples-of-vision-neuroscience-and-optical-random-media-2110.13228"/></url>
<url><loc>https://scifaro.com/en/abs/distributionally-robust-recurrent-decoders-with-random-network-distillation-2110.13229</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributionally-robust-recurrent-decoders-with-random-network-distillation-2110.13229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributionally-robust-recurrent-decoders-with-random-network-distillation-2110.13229"/></url>
<url><loc>https://scifaro.com/en/abs/decomposed-inductive-procedure-learning-2110.13233</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decomposed-inductive-procedure-learning-2110.13233"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decomposed-inductive-procedure-learning-2110.13233"/></url>
<url><loc>https://scifaro.com/en/abs/multitask-adaptation-by-retrospective-exploration-with-learned-world-models-2110.13241</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multitask-adaptation-by-retrospective-exploration-with-learned-world-models-2110.13241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multitask-adaptation-by-retrospective-exploration-with-learned-world-models-2110.13241"/></url>
<url><loc>https://scifaro.com/en/abs/deephelp-deep-learning-for-shout-crisis-text-conversations-2110.13244</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deephelp-deep-learning-for-shout-crisis-text-conversations-2110.13244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deephelp-deep-learning-for-shout-crisis-text-conversations-2110.13244"/></url>
<url><loc>https://scifaro.com/en/abs/vac-cnn-a-visual-analytics-system-for-comparative-studies-of-deep-convolutional-neural-networks-2110.13252</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vac-cnn-a-visual-analytics-system-for-comparative-studies-of-deep-convolutional-neural-networks-2110.13252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vac-cnn-a-visual-analytics-system-for-comparative-studies-of-deep-convolutional-neural-networks-2110.13252"/></url>
<url><loc>https://scifaro.com/en/abs/the-pareto-frontier-of-model-selection-for-general-contextual-bandits-2110.13282</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-pareto-frontier-of-model-selection-for-general-contextual-bandits-2110.13282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-pareto-frontier-of-model-selection-for-general-contextual-bandits-2110.13282"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-system-performance-of-continual-learning-for-mobile-and-embedded-sensing-applications-2110.13290</loc><lastmod>2022-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-system-performance-of-continual-learning-for-mobile-and-embedded-sensing-applications-2110.13290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-system-performance-of-continual-learning-for-mobile-and-embedded-sensing-applications-2110.13290"/></url>
<url><loc>https://scifaro.com/en/abs/emulation-of-physical-processes-with-emukit-2110.13293</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/emulation-of-physical-processes-with-emukit-2110.13293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/emulation-of-physical-processes-with-emukit-2110.13293"/></url>
<url><loc>https://scifaro.com/en/abs/fast-pde-constrained-optimization-via-self-supervised-operator-learning-2110.13297</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-pde-constrained-optimization-via-self-supervised-operator-learning-2110.13297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-pde-constrained-optimization-via-self-supervised-operator-learning-2110.13297"/></url>
<url><loc>https://scifaro.com/en/abs/negotiating-networks-in-oligopoly-markets-for-price-sensitive-products-2110.13303</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/negotiating-networks-in-oligopoly-markets-for-price-sensitive-products-2110.13303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/negotiating-networks-in-oligopoly-markets-for-price-sensitive-products-2110.13303"/></url>
<url><loc>https://scifaro.com/en/abs/reconciling-risk-allocation-and-prevalence-estimation-in-public-health-using-batched-bandits-2110.13306</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconciling-risk-allocation-and-prevalence-estimation-in-public-health-using-batched-bandits-2110.13306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconciling-risk-allocation-and-prevalence-estimation-in-public-health-using-batched-bandits-2110.13306"/></url>
<url><loc>https://scifaro.com/en/abs/earthgan-can-we-visualize-the-earth-s-mantle-convection-using-a-surrogate-model-2110.13315</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/earthgan-can-we-visualize-the-earth-s-mantle-convection-using-a-surrogate-model-2110.13315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/earthgan-can-we-visualize-the-earth-s-mantle-convection-using-a-surrogate-model-2110.13315"/></url>
<url><loc>https://scifaro.com/en/abs/recipes-for-when-physics-fails-recovering-robust-learning-of-physics-informed-neural-networks-2110.13330</loc><lastmod>2023-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recipes-for-when-physics-fails-recovering-robust-learning-of-physics-informed-neural-networks-2110.13330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recipes-for-when-physics-fails-recovering-robust-learning-of-physics-informed-neural-networks-2110.13330"/></url>
<url><loc>https://scifaro.com/en/abs/sinusoidal-flow-a-fast-invertible-autoregressive-flow-2110.13344</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sinusoidal-flow-a-fast-invertible-autoregressive-flow-2110.13344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sinusoidal-flow-a-fast-invertible-autoregressive-flow-2110.13344"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-graph-is-provably-efficient-for-decentralized-deep-training-2110.13363</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-graph-is-provably-efficient-for-decentralized-deep-training-2110.13363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-graph-is-provably-efficient-for-decentralized-deep-training-2110.13363"/></url>
<url><loc>https://scifaro.com/en/abs/multi-faceted-hierarchical-multi-task-learning-for-a-large-number-of-tasks-with-multi-dimensional-relations-2110.13365</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-faceted-hierarchical-multi-task-learning-for-a-large-number-of-tasks-with-multi-dimensional-relations-2110.13365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-faceted-hierarchical-multi-task-learning-for-a-large-number-of-tasks-with-multi-dimensional-relations-2110.13365"/></url>
<url><loc>https://scifaro.com/en/abs/partial-order-in-chaos-consensus-on-feature-attributions-in-the-rashomon-set-2110.13369</loc><lastmod>2024-01-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-order-in-chaos-consensus-on-feature-attributions-in-the-rashomon-set-2110.13369"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-order-in-chaos-consensus-on-feature-attributions-in-the-rashomon-set-2110.13369"/></url>
<url><loc>https://scifaro.com/en/abs/entrpo-trust-region-policy-optimization-method-with-entropy-regularization-2110.13373</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entrpo-trust-region-policy-optimization-method-with-entropy-regularization-2110.13373"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entrpo-trust-region-policy-optimization-method-with-entropy-regularization-2110.13373"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-federated-learning-with-non-iid-data-algorithm-and-system-design-2110.13388</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-federated-learning-with-non-iid-data-algorithm-and-system-design-2110.13388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-federated-learning-with-non-iid-data-algorithm-and-system-design-2110.13388"/></url>
<url><loc>https://scifaro.com/en/abs/scale-free-adversarial-multi-armed-bandit-with-arbitrary-feedback-delays-2110.13400</loc><lastmod>2023-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scale-free-adversarial-multi-armed-bandit-with-arbitrary-feedback-delays-2110.13400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scale-free-adversarial-multi-armed-bandit-with-arbitrary-feedback-delays-2110.13400"/></url>
<url><loc>https://scifaro.com/en/abs/does-your-graph-need-a-confidence-boost-convergent-boosted-smoothing-on-graphs-with-tabular-node-features-2110.13413</loc><lastmod>2022-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-your-graph-need-a-confidence-boost-convergent-boosted-smoothing-on-graphs-with-tabular-node-features-2110.13413"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-your-graph-need-a-confidence-boost-convergent-boosted-smoothing-on-graphs-with-tabular-node-features-2110.13413"/></url>
<url><loc>https://scifaro.com/en/abs/relay-variational-inference-a-method-for-accelerated-encoderless-vi-2110.13422</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/relay-variational-inference-a-method-for-accelerated-encoderless-vi-2110.13422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/relay-variational-inference-a-method-for-accelerated-encoderless-vi-2110.13422"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-driven-pseudospectral-pce-based-fft-homogenization-algorithm-for-complex-microstructures-2110.13440</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-driven-pseudospectral-pce-based-fft-homogenization-algorithm-for-complex-microstructures-2110.13440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-driven-pseudospectral-pce-based-fft-homogenization-algorithm-for-complex-microstructures-2110.13440"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-multi-agent-deep-reinforcement-learning-framework-for-whole-building-hvac-control-2110.13450</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-multi-agent-deep-reinforcement-learning-framework-for-whole-building-hvac-control-2110.13450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-multi-agent-deep-reinforcement-learning-framework-for-whole-building-hvac-control-2110.13450"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-optimization-landscape-of-maximum-mean-discrepancy-2110.13452</loc><lastmod>2024-05-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-optimization-landscape-of-maximum-mean-discrepancy-2110.13452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-optimization-landscape-of-maximum-mean-discrepancy-2110.13452"/></url>
<url><loc>https://scifaro.com/en/abs/mars-fl-enabling-competitors-to-collaborate-in-federated-learning-2110.13464</loc><lastmod>2022-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mars-fl-enabling-competitors-to-collaborate-in-federated-learning-2110.13464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mars-fl-enabling-competitors-to-collaborate-in-federated-learning-2110.13464"/></url>
<url><loc>https://scifaro.com/en/abs/vector-valued-distance-and-gyrocalculus-on-the-space-of-symmetric-positive-definite-matrices-2110.13475</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vector-valued-distance-and-gyrocalculus-on-the-space-of-symmetric-positive-definite-matrices-2110.13475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vector-valued-distance-and-gyrocalculus-on-the-space-of-symmetric-positive-definite-matrices-2110.13475"/></url>
<url><loc>https://scifaro.com/en/abs/tunet-a-block-online-bandwidth-extension-model-based-on-transformers-and-self-supervised-pretraining-2110.13492</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tunet-a-block-online-bandwidth-extension-model-based-on-transformers-and-self-supervised-pretraining-2110.13492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tunet-a-block-online-bandwidth-extension-model-based-on-transformers-and-self-supervised-pretraining-2110.13492"/></url>
<url><loc>https://scifaro.com/en/abs/tensor-network-kalman-filtering-for-large-scale-ls-svms-2110.13501</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tensor-network-kalman-filtering-for-large-scale-ls-svms-2110.13501"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tensor-network-kalman-filtering-for-large-scale-ls-svms-2110.13501"/></url>
<url><loc>https://scifaro.com/en/abs/shared-independent-component-analysis-for-multi-subject-neuroimaging-2110.13502</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shared-independent-component-analysis-for-multi-subject-neuroimaging-2110.13502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shared-independent-component-analysis-for-multi-subject-neuroimaging-2110.13502"/></url>
<url><loc>https://scifaro.com/en/abs/autodeuq-automated-deep-ensemble-with-uncertainty-quantification-2110.13511</loc><lastmod>2022-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autodeuq-automated-deep-ensemble-with-uncertainty-quantification-2110.13511"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autodeuq-automated-deep-ensemble-with-uncertainty-quantification-2110.13511"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-entity-representation-model-for-reasoning-over-knowledge-graphs-2110.13522</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-entity-representation-model-for-reasoning-over-knowledge-graphs-2110.13522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-entity-representation-model-for-reasoning-over-knowledge-graphs-2110.13522"/></url>
<url><loc>https://scifaro.com/en/abs/automating-control-of-overestimation-bias-for-reinforcement-learning-2110.13523</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automating-control-of-overestimation-bias-for-reinforcement-learning-2110.13523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automating-control-of-overestimation-bias-for-reinforcement-learning-2110.13523"/></url>
<url><loc>https://scifaro.com/en/abs/an-extended-physics-informed-neural-network-for-preliminary-analysis-of-parametric-optimal-control-problems-2110.13530</loc><lastmod>2024-01-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-extended-physics-informed-neural-network-for-preliminary-analysis-of-parametric-optimal-control-problems-2110.13530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-extended-physics-informed-neural-network-for-preliminary-analysis-of-parametric-optimal-control-problems-2110.13530"/></url>
<url><loc>https://scifaro.com/en/abs/qu-anti-zation-exploiting-quantization-artifacts-for-achieving-adversarial-outcomes-2110.13541</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qu-anti-zation-exploiting-quantization-artifacts-for-achieving-adversarial-outcomes-2110.13541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qu-anti-zation-exploiting-quantization-artifacts-for-achieving-adversarial-outcomes-2110.13541"/></url>
<url><loc>https://scifaro.com/en/abs/coherent-false-seizure-prediction-in-epilepsy-coincidence-or-providence-2110.13550</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coherent-false-seizure-prediction-in-epilepsy-coincidence-or-providence-2110.13550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coherent-false-seizure-prediction-in-epilepsy-coincidence-or-providence-2110.13550"/></url>
<url><loc>https://scifaro.com/en/abs/non-gaussian-gaussian-processes-for-few-shot-regression-2110.13561</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-gaussian-gaussian-processes-for-few-shot-regression-2110.13561"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-gaussian-gaussian-processes-for-few-shot-regression-2110.13561"/></url>
<url><loc>https://scifaro.com/en/abs/pairwise-half-graph-discrimination-a-simple-graph-level-self-supervised-strategy-for-pre-training-graph-neural-networks-2110.13567</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pairwise-half-graph-discrimination-a-simple-graph-level-self-supervised-strategy-for-pre-training-graph-neural-networks-2110.13567"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pairwise-half-graph-discrimination-a-simple-graph-level-self-supervised-strategy-for-pre-training-graph-neural-networks-2110.13567"/></url>
<url><loc>https://scifaro.com/en/abs/periodic-activation-functions-induce-stationarity-2110.13572</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/periodic-activation-functions-induce-stationarity-2110.13572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/periodic-activation-functions-induce-stationarity-2110.13572"/></url>
<url><loc>https://scifaro.com/en/abs/learning-robust-controllers-via-probabilistic-model-based-policy-search-2110.13576</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-robust-controllers-via-probabilistic-model-based-policy-search-2110.13576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-robust-controllers-via-probabilistic-model-based-policy-search-2110.13576"/></url>
<url><loc>https://scifaro.com/en/abs/distributional-reinforcement-learning-for-multi-dimensional-reward-functions-2110.13578</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributional-reinforcement-learning-for-multi-dimensional-reward-functions-2110.13578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributional-reinforcement-learning-for-multi-dimensional-reward-functions-2110.13578"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-representations-in-relu-networks-as-similarity-functions-2110.13581</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-representations-in-relu-networks-as-similarity-functions-2110.13581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-representations-in-relu-networks-as-similarity-functions-2110.13581"/></url>
<url><loc>https://scifaro.com/en/abs/concepts-for-automated-machine-learning-in-smart-grid-applications-2110.13585</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/concepts-for-automated-machine-learning-in-smart-grid-applications-2110.13585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/concepts-for-automated-machine-learning-in-smart-grid-applications-2110.13585"/></url>
<url><loc>https://scifaro.com/en/abs/arbitrary-distribution-modeling-with-censorship-in-real-time-bidding-advertising-2110.13587</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arbitrary-distribution-modeling-with-censorship-in-real-time-bidding-advertising-2110.13587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arbitrary-distribution-modeling-with-censorship-in-real-time-bidding-advertising-2110.13587"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-neural-processes-for-self-supervised-learning-2110.13623</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-neural-processes-for-self-supervised-learning-2110.13623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-neural-processes-for-self-supervised-learning-2110.13623"/></url>
<url><loc>https://scifaro.com/en/abs/technology-fitness-landscape-for-design-innovation-a-deep-neural-embedding-approach-based-on-patent-data-2110.13624</loc><lastmod>2022-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/technology-fitness-landscape-for-design-innovation-a-deep-neural-embedding-approach-based-on-patent-data-2110.13624"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/technology-fitness-landscape-for-design-innovation-a-deep-neural-embedding-approach-based-on-patent-data-2110.13624"/></url>
<url><loc>https://scifaro.com/en/abs/landmark-guided-subgoal-generation-in-hierarchical-reinforcement-learning-2110.13625</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/landmark-guided-subgoal-generation-in-hierarchical-reinforcement-learning-2110.13625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/landmark-guided-subgoal-generation-in-hierarchical-reinforcement-learning-2110.13625"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-and-deep-learning-forsteering-wheel-angle-prediction-2110.13629</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-and-deep-learning-forsteering-wheel-angle-prediction-2110.13629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-and-deep-learning-forsteering-wheel-angle-prediction-2110.13629"/></url>
<url><loc>https://scifaro.com/en/abs/edlaas-fully-homomorphic-encryption-over-neural-network-graphs-for-vision-and-private-strawberry-yield-forecasting-2110.13638</loc><lastmod>2022-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edlaas-fully-homomorphic-encryption-over-neural-network-graphs-for-vision-and-private-strawberry-yield-forecasting-2110.13638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edlaas-fully-homomorphic-encryption-over-neural-network-graphs-for-vision-and-private-strawberry-yield-forecasting-2110.13638"/></url>
<url><loc>https://scifaro.com/en/abs/an-algorithm-for-the-computation-of-joint-hawkes-moments-with-exponential-kernel-2110.13649</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-algorithm-for-the-computation-of-joint-hawkes-moments-with-exponential-kernel-2110.13649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-algorithm-for-the-computation-of-joint-hawkes-moments-with-exponential-kernel-2110.13649"/></url>
<url><loc>https://scifaro.com/en/abs/clld-contrastive-learning-with-label-distance-for-text-classification-2110.13656</loc><lastmod>2022-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clld-contrastive-learning-with-label-distance-for-text-classification-2110.13656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clld-contrastive-learning-with-label-distance-for-text-classification-2110.13656"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-physics-based-and-data-driven-modeling-with-calibrated-uncertainty-for-lithium-ion-battery-degradation-diagnosis-and-prognosis-2110.13661</loc><lastmod>2024-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-physics-based-and-data-driven-modeling-with-calibrated-uncertainty-for-lithium-ion-battery-degradation-diagnosis-and-prognosis-2110.13661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-physics-based-and-data-driven-modeling-with-calibrated-uncertainty-for-lithium-ion-battery-degradation-diagnosis-and-prognosis-2110.13661"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-rule-extension-for-logic-analysis-of-data-an-milp-based-heuristic-to-derive-interpretable-binary-classification-from-large-datasets-2110.13664</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-rule-extension-for-logic-analysis-of-data-an-milp-based-heuristic-to-derive-interpretable-binary-classification-from-large-datasets-2110.13664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-rule-extension-for-logic-analysis-of-data-an-milp-based-heuristic-to-derive-interpretable-binary-classification-from-large-datasets-2110.13664"/></url>
<url><loc>https://scifaro.com/en/abs/c-2-sp-net-joint-compression-and-classification-network-for-epilepsy-seizure-prediction-2110.13674</loc><lastmod>2022-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/c-2-sp-net-joint-compression-and-classification-network-for-epilepsy-seizure-prediction-2110.13674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/c-2-sp-net-joint-compression-and-classification-network-for-epilepsy-seizure-prediction-2110.13674"/></url>
<url><loc>https://scifaro.com/en/abs/causal-effect-estimation-using-variational-information-bottleneck-2110.13705</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-effect-estimation-using-variational-information-bottleneck-2110.13705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-effect-estimation-using-variational-information-bottleneck-2110.13705"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-transformers-are-more-efficient-language-models-2110.13711</loc><lastmod>2022-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-transformers-are-more-efficient-language-models-2110.13711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-transformers-are-more-efficient-language-models-2110.13711"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-transformer-for-end-to-end-molecule-properties-prediction-2110.13721</loc><lastmod>2022-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-transformer-for-end-to-end-molecule-properties-prediction-2110.13721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-transformer-for-end-to-end-molecule-properties-prediction-2110.13721"/></url>
<url><loc>https://scifaro.com/en/abs/disrupting-deep-uncertainty-estimation-without-harming-accuracy-2110.13741</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disrupting-deep-uncertainty-estimation-without-harming-accuracy-2110.13741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disrupting-deep-uncertainty-estimation-without-harming-accuracy-2110.13741"/></url>
<url><loc>https://scifaro.com/en/abs/paris-personalized-activity-recommendation-for-improving-sleep-quality-2110.13745</loc><lastmod>2024-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/paris-personalized-activity-recommendation-for-improving-sleep-quality-2110.13745"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/paris-personalized-activity-recommendation-for-improving-sleep-quality-2110.13745"/></url>
<url><loc>https://scifaro.com/en/abs/spectroscopynet-learning-to-pre-process-spectroscopy-signals-without-clean-data-2110.13748</loc><lastmod>2023-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectroscopynet-learning-to-pre-process-spectroscopy-signals-without-clean-data-2110.13748"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectroscopynet-learning-to-pre-process-spectroscopy-signals-without-clean-data-2110.13748"/></url>
<url><loc>https://scifaro.com/en/abs/topologically-penalized-regression-on-manifolds-2110.13749</loc><lastmod>2022-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topologically-penalized-regression-on-manifolds-2110.13749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topologically-penalized-regression-on-manifolds-2110.13749"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-information-theoretical-generalization-bounds-via-anisotropic-noise-in-sgld-2110.13750</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-information-theoretical-generalization-bounds-via-anisotropic-noise-in-sgld-2110.13750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-information-theoretical-generalization-bounds-via-anisotropic-noise-in-sgld-2110.13750"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-time-series-reconstruction-for-modern-power-systems-research-2110.13772</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-time-series-reconstruction-for-modern-power-systems-research-2110.13772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-time-series-reconstruction-for-modern-power-systems-research-2110.13772"/></url>
<url><loc>https://scifaro.com/en/abs/diversity-and-generalization-in-neural-network-ensembles-2110.13786</loc><lastmod>2022-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversity-and-generalization-in-neural-network-ensembles-2110.13786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversity-and-generalization-in-neural-network-ensembles-2110.13786"/></url>
<url><loc>https://scifaro.com/en/abs/deeper-gxx-deepening-arbitrary-gnns-2110.13798</loc><lastmod>2022-10-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deeper-gxx-deepening-arbitrary-gnns-2110.13798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deeper-gxx-deepening-arbitrary-gnns-2110.13798"/></url>
<url><loc>https://scifaro.com/en/abs/neural-ppo-clip-attains-global-optimality-a-hinge-loss-perspective-2110.13799</loc><lastmod>2022-09-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-ppo-clip-attains-global-optimality-a-hinge-loss-perspective-2110.13799"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-ppo-clip-attains-global-optimality-a-hinge-loss-perspective-2110.13799"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-based-surrogate-model-for-stochastic-simulators-2110.13809</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-based-surrogate-model-for-stochastic-simulators-2110.13809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-based-surrogate-model-for-stochastic-simulators-2110.13809"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-simulate-self-driven-particles-system-with-coordinated-policy-optimization-2110.13827</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-simulate-self-driven-particles-system-with-coordinated-policy-optimization-2110.13827"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-simulate-self-driven-particles-system-with-coordinated-policy-optimization-2110.13827"/></url>
<url><loc>https://scifaro.com/en/abs/average-reward-learning-and-planning-with-options-2110.13855</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/average-reward-learning-and-planning-with-options-2110.13855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/average-reward-learning-and-planning-with-options-2110.13855"/></url>
<url><loc>https://scifaro.com/en/abs/defensive-tensorization-2110.13859</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defensive-tensorization-2110.13859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defensive-tensorization-2110.13859"/></url>
<url><loc>https://scifaro.com/en/abs/fl-wbc-enhancing-robustness-against-model-poisoning-attacks-in-federated-learning-from-a-client-perspective-2110.13864</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fl-wbc-enhancing-robustness-against-model-poisoning-attacks-in-federated-learning-from-a-client-perspective-2110.13864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fl-wbc-enhancing-robustness-against-model-poisoning-attacks-in-federated-learning-from-a-client-perspective-2110.13864"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-the-moments-condition-barrier-no-regret-algorithm-for-bandits-with-super-heavy-tailed-payoffs-2110.13876</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-the-moments-condition-barrier-no-regret-algorithm-for-bandits-with-super-heavy-tailed-payoffs-2110.13876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-the-moments-condition-barrier-no-regret-algorithm-for-bandits-with-super-heavy-tailed-payoffs-2110.13876"/></url>
<url><loc>https://scifaro.com/en/abs/deep-explicit-duration-switching-models-for-time-series-2110.13878</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-explicit-duration-switching-models-for-time-series-2110.13878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-explicit-duration-switching-models-for-time-series-2110.13878"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-interlocking-dynamics-of-cooperative-rationalization-2110.13880</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-interlocking-dynamics-of-cooperative-rationalization-2110.13880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-interlocking-dynamics-of-cooperative-rationalization-2110.13880"/></url>
<url><loc>https://scifaro.com/en/abs/heterogeneous-temporal-graph-neural-network-2110.13889</loc><lastmod>2021-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/heterogeneous-temporal-graph-neural-network-2110.13889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/heterogeneous-temporal-graph-neural-network-2110.13889"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-descent-on-two-layer-nets-margin-maximization-and-simplicity-bias-2110.13905</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-descent-on-two-layer-nets-margin-maximization-and-simplicity-bias-2110.13905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-descent-on-two-layer-nets-margin-maximization-and-simplicity-bias-2110.13905"/></url>
<url><loc>https://scifaro.com/en/abs/provably-robust-model-centric-explanations-for-critical-decision-making-2110.13937</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-robust-model-centric-explanations-for-critical-decision-making-2110.13937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-robust-model-centric-explanations-for-critical-decision-making-2110.13937"/></url>
<url><loc>https://scifaro.com/en/abs/rapid-iot-device-identification-at-the-edge-2110.13941</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapid-iot-device-identification-at-the-edge-2110.13941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapid-iot-device-identification-at-the-edge-2110.13941"/></url>
<url><loc>https://scifaro.com/en/abs/boosted-cvar-classification-2110.13948</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosted-cvar-classification-2110.13948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosted-cvar-classification-2110.13948"/></url>
<url><loc>https://scifaro.com/en/abs/on-sensitivity-of-meta-learning-to-support-data-2110.13953</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-sensitivity-of-meta-learning-to-support-data-2110.13953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-sensitivity-of-meta-learning-to-support-data-2110.13953"/></url>
<url><loc>https://scifaro.com/en/abs/unbiased-graph-embedding-with-biased-graph-observations-2110.13957</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unbiased-graph-embedding-with-biased-graph-observations-2110.13957"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unbiased-graph-embedding-with-biased-graph-observations-2110.13957"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effects-of-artificial-data-modification-2110.13968</loc><lastmod>2022-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effects-of-artificial-data-modification-2110.13968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effects-of-artificial-data-modification-2110.13968"/></url>
<url><loc>https://scifaro.com/en/abs/rademacher-random-projections-with-tensor-networks-2110.13970</loc><lastmod>2022-02-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rademacher-random-projections-with-tensor-networks-2110.13970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rademacher-random-projections-with-tensor-networks-2110.13970"/></url>
<url><loc>https://scifaro.com/en/abs/the-value-of-information-when-deciding-what-to-learn-2110.13973</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-value-of-information-when-deciding-what-to-learn-2110.13973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-value-of-information-when-deciding-what-to-learn-2110.13973"/></url>
<url><loc>https://scifaro.com/en/abs/combining-recurrent-convolutional-and-continuous-time-models-with-linear-state-space-layers-2110.13985</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-recurrent-convolutional-and-continuous-time-models-with-linear-state-space-layers-2110.13985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-recurrent-convolutional-and-continuous-time-models-with-linear-state-space-layers-2110.13985"/></url>
<url><loc>https://scifaro.com/en/abs/fair-sequential-selection-using-supervised-learning-models-2110.13986</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fair-sequential-selection-using-supervised-learning-models-2110.13986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fair-sequential-selection-using-supervised-learning-models-2110.13986"/></url>
<url><loc>https://scifaro.com/en/abs/learning-collaborative-policies-to-solve-np-hard-routing-problems-2110.13987</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-collaborative-policies-to-solve-np-hard-routing-problems-2110.13987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-collaborative-policies-to-solve-np-hard-routing-problems-2110.13987"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-learning-and-decoding-of-the-continuous-time-hidden-markov-model-for-disease-progression-modeling-2110.13998</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-learning-and-decoding-of-the-continuous-time-hidden-markov-model-for-disease-progression-modeling-2110.13998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-learning-and-decoding-of-the-continuous-time-hidden-markov-model-for-disease-progression-modeling-2110.13998"/></url>
<url><loc>https://scifaro.com/en/abs/towards-hyperparameter-free-policy-selection-for-offline-reinforcement-learning-2110.14000</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-hyperparameter-free-policy-selection-for-offline-reinforcement-learning-2110.14000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-hyperparameter-free-policy-selection-for-offline-reinforcement-learning-2110.14000"/></url>
<url><loc>https://scifaro.com/en/abs/survite-learning-heterogeneous-treatment-effects-from-time-to-event-data-2110.14001</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/survite-learning-heterogeneous-treatment-effects-from-time-to-event-data-2110.14001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/survite-learning-heterogeneous-treatment-effects-from-time-to-event-data-2110.14001"/></url>
<url><loc>https://scifaro.com/en/abs/carms-categorical-antithetic-reinforce-multi-sample-gradient-estimator-2110.14002</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/carms-categorical-antithetic-reinforce-multi-sample-gradient-estimator-2110.14002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/carms-categorical-antithetic-reinforce-multi-sample-gradient-estimator-2110.14002"/></url>
<url><loc>https://scifaro.com/en/abs/tod-gpu-accelerated-outlier-detection-via-tensor-operations-2110.14007</loc><lastmod>2022-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tod-gpu-accelerated-outlier-detection-via-tensor-operations-2110.14007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tod-gpu-accelerated-outlier-detection-via-tensor-operations-2110.14007"/></url>
<url><loc>https://scifaro.com/en/abs/misconv-convolutional-neural-networks-for-missing-data-2110.14010</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/misconv-convolutional-neural-networks-for-missing-data-2110.14010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/misconv-convolutional-neural-networks-for-missing-data-2110.14010"/></url>
<url><loc>https://scifaro.com/en/abs/cluster-and-conquer-a-framework-for-time-series-forecasting-2110.14011</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cluster-and-conquer-a-framework-for-time-series-forecasting-2110.14011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cluster-and-conquer-a-framework-for-time-series-forecasting-2110.14011"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-and-trustworthy-machine-learning-for-health-using-dataset-shift-detection-2110.14019</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-and-trustworthy-machine-learning-for-health-using-dataset-shift-detection-2110.14019"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-and-trustworthy-machine-learning-for-health-using-dataset-shift-detection-2110.14019"/></url>
<url><loc>https://scifaro.com/en/abs/the-difficulty-of-passive-learning-in-deep-reinforcement-learning-2110.14020</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-difficulty-of-passive-learning-in-deep-reinforcement-learning-2110.14020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-difficulty-of-passive-learning-in-deep-reinforcement-learning-2110.14020"/></url>
<url><loc>https://scifaro.com/en/abs/improving-local-effectiveness-for-global-robust-training-2110.14030</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-local-effectiveness-for-global-robust-training-2110.14030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-local-effectiveness-for-global-robust-training-2110.14030"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-regret-bounds-for-polyhedral-losses-2110.14031</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-regret-bounds-for-polyhedral-losses-2110.14031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-regret-bounds-for-polyhedral-losses-2110.14031"/></url>
<url><loc>https://scifaro.com/en/abs/mest-accurate-and-fast-memory-economic-sparse-training-framework-on-the-edge-2110.14032</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mest-accurate-and-fast-memory-economic-sparse-training-framework-on-the-edge-2110.14032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mest-accurate-and-fast-memory-economic-sparse-training-framework-on-the-edge-2110.14032"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-of-graph-neural-networks-at-scale-2110.14038</loc><lastmod>2023-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-of-graph-neural-networks-at-scale-2110.14038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-of-graph-neural-networks-at-scale-2110.14038"/></url>
<url><loc>https://scifaro.com/en/abs/ials-speeding-up-matrix-factorization-with-subspace-optimization-2110.14044</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ials-speeding-up-matrix-factorization-with-subspace-optimization-2110.14044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ials-speeding-up-matrix-factorization-with-subspace-optimization-2110.14044"/></url>
<url><loc>https://scifaro.com/en/abs/conflict-averse-gradient-descent-for-multi-task-learning-2110.14048</loc><lastmod>2024-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conflict-averse-gradient-descent-for-multi-task-learning-2110.14048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conflict-averse-gradient-descent-for-multi-task-learning-2110.14048"/></url>
<url><loc>https://scifaro.com/en/abs/beta-shapley-a-unified-and-noise-reduced-data-valuation-framework-for-machine-learning-2110.14049</loc><lastmod>2022-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beta-shapley-a-unified-and-noise-reduced-data-valuation-framework-for-machine-learning-2110.14049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beta-shapley-a-unified-and-noise-reduced-data-valuation-framework-for-machine-learning-2110.14049"/></url>
<url><loc>https://scifaro.com/en/abs/polynomial-spline-neural-networks-with-exact-integrals-2110.14055</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polynomial-spline-neural-networks-with-exact-integrals-2110.14055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polynomial-spline-neural-networks-with-exact-integrals-2110.14055"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-transfer-algorithmic-reasoning-knowledge-to-learn-new-algorithms-2110.14056</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-transfer-algorithmic-reasoning-knowledge-to-learn-new-algorithms-2110.14056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-transfer-algorithmic-reasoning-knowledge-to-learn-new-algorithms-2110.14056"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-with-an-adaptive-task-scheduler-2110.14057</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-with-an-adaptive-task-scheduler-2110.14057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-with-an-adaptive-task-scheduler-2110.14057"/></url>
<url><loc>https://scifaro.com/en/abs/drawing-robust-scratch-tickets-subnetworks-with-inborn-robustness-are-found-within-randomly-initialized-networks-2110.14068</loc><lastmod>2025-01-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drawing-robust-scratch-tickets-subnetworks-with-inborn-robustness-are-found-within-randomly-initialized-networks-2110.14068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drawing-robust-scratch-tickets-subnetworks-with-inborn-robustness-are-found-within-randomly-initialized-networks-2110.14068"/></url>
<url><loc>https://scifaro.com/en/abs/fault-tolerant-federated-reinforcement-learning-with-theoretical-guarantee-2110.14074</loc><lastmod>2022-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fault-tolerant-federated-reinforcement-learning-with-theoretical-guarantee-2110.14074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fault-tolerant-federated-reinforcement-learning-with-theoretical-guarantee-2110.14074"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-online-learning-with-variable-plays-in-the-pursuit-evasion-game-theoretical-foundations-and-application-in-connected-and-automated-vehicle-cybersecurity-2110.14078</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-online-learning-with-variable-plays-in-the-pursuit-evasion-game-theoretical-foundations-and-application-in-connected-and-automated-vehicle-cybersecurity-2110.14078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-online-learning-with-variable-plays-in-the-pursuit-evasion-game-theoretical-foundations-and-application-in-connected-and-automated-vehicle-cybersecurity-2110.14078"/></url>
<url><loc>https://scifaro.com/en/abs/learning-augmented-k-means-clustering-2110.14094</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-augmented-k-means-clustering-2110.14094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-augmented-k-means-clustering-2110.14094"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-bisimulation-metric-learning-2110.14096</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-bisimulation-metric-learning-2110.14096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-bisimulation-metric-learning-2110.14096"/></url>
<url><loc>https://scifaro.com/en/abs/provable-lifelong-learning-of-representations-2110.14098</loc><lastmod>2022-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-lifelong-learning-of-representations-2110.14098"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-lifelong-learning-of-representations-2110.14098"/></url>
<url><loc>https://scifaro.com/en/abs/eigencurve-optimal-learning-rate-schedule-for-sgd-on-quadratic-objectives-with-skewed-hessian-spectrums-2110.14109</loc><lastmod>2022-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigencurve-optimal-learning-rate-schedule-for-sgd-on-quadratic-objectives-with-skewed-hessian-spectrums-2110.14109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigencurve-optimal-learning-rate-schedule-for-sgd-on-quadratic-objectives-with-skewed-hessian-spectrums-2110.14109"/></url>
<url><loc>https://scifaro.com/en/abs/mining-frequency-based-sequential-trajectory-co-clusters-2110.14110</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mining-frequency-based-sequential-trajectory-co-clusters-2110.14110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mining-frequency-based-sequential-trajectory-co-clusters-2110.14110"/></url>
<url><loc>https://scifaro.com/en/abs/object-aware-regularization-for-addressing-causal-confusion-in-imitation-learning-2110.14118</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/object-aware-regularization-for-addressing-causal-confusion-in-imitation-learning-2110.14118"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/object-aware-regularization-for-addressing-causal-confusion-in-imitation-learning-2110.14118"/></url>
<url><loc>https://scifaro.com/en/abs/diversity-matters-when-learning-from-ensembles-2110.14149</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversity-matters-when-learning-from-ensembles-2110.14149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversity-matters-when-learning-from-ensembles-2110.14149"/></url>
<url><loc>https://scifaro.com/en/abs/training-wasserstein-gans-without-gradient-penalties-2110.14150</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-wasserstein-gans-without-gradient-penalties-2110.14150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-wasserstein-gans-without-gradient-penalties-2110.14150"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-federated-bayesian-optimization-with-distributed-exploration-2110.14153</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-federated-bayesian-optimization-with-distributed-exploration-2110.14153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-federated-bayesian-optimization-with-distributed-exploration-2110.14153"/></url>
<url><loc>https://scifaro.com/en/abs/dream-to-explore-adaptive-simulations-for-autonomous-systems-2110.14157</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dream-to-explore-adaptive-simulations-for-autonomous-systems-2110.14157"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dream-to-explore-adaptive-simulations-for-autonomous-systems-2110.14157"/></url>
<url><loc>https://scifaro.com/en/abs/does-the-data-induce-capacity-control-in-deep-learning-2110.14163</loc><lastmod>2022-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-the-data-induce-capacity-control-in-deep-learning-2110.14163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-the-data-induce-capacity-control-in-deep-learning-2110.14163"/></url>
<url><loc>https://scifaro.com/en/abs/training-verifiers-to-solve-math-word-problems-2110.14168</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-verifiers-to-solve-math-word-problems-2110.14168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-verifiers-to-solve-math-word-problems-2110.14168"/></url>
<url><loc>https://scifaro.com/en/abs/meta-knowledge-transfer-for-inductive-knowledge-graph-embedding-2110.14170</loc><lastmod>2022-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-knowledge-transfer-for-inductive-knowledge-graph-embedding-2110.14170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-knowledge-transfer-for-inductive-knowledge-graph-embedding-2110.14170"/></url>
<url><loc>https://scifaro.com/en/abs/diversity-enhanced-active-learning-with-strictly-proper-scoring-rules-2110.14171</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diversity-enhanced-active-learning-with-strictly-proper-scoring-rules-2110.14171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diversity-enhanced-active-learning-with-strictly-proper-scoring-rules-2110.14171"/></url>
<url><loc>https://scifaro.com/en/abs/evidential-softmax-for-sparse-multimodal-distributions-in-deep-generative-models-2110.14182</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evidential-softmax-for-sparse-multimodal-distributions-in-deep-generative-models-2110.14182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evidential-softmax-for-sparse-multimodal-distributions-in-deep-generative-models-2110.14182"/></url>
<url><loc>https://scifaro.com/en/abs/roma-robust-model-adaptation-for-offline-model-based-optimization-2110.14188</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/roma-robust-model-adaptation-for-offline-model-based-optimization-2110.14188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/roma-robust-model-adaptation-for-offline-model-based-optimization-2110.14188"/></url>
<url><loc>https://scifaro.com/en/abs/revisit-multimodal-meta-learning-through-the-lens-of-multi-task-learning-2110.14202</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisit-multimodal-meta-learning-through-the-lens-of-multi-task-learning-2110.14202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisit-multimodal-meta-learning-through-the-lens-of-multi-task-learning-2110.14202"/></url>
<url><loc>https://scifaro.com/en/abs/fedprune-towards-inclusive-federated-learning-2110.14205</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedprune-towards-inclusive-federated-learning-2110.14205"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedprune-towards-inclusive-federated-learning-2110.14205"/></url>
<url><loc>https://scifaro.com/en/abs/what-do-we-mean-by-generalization-in-federated-learning-2110.14216</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-do-we-mean-by-generalization-in-federated-learning-2110.14216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-do-we-mean-by-generalization-in-federated-learning-2110.14216"/></url>
<url><loc>https://scifaro.com/en/abs/learning-diverse-policies-in-moba-games-via-macro-goals-2110.14221</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-diverse-policies-in-moba-games-via-macro-goals-2110.14221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-diverse-policies-in-moba-games-via-macro-goals-2110.14221"/></url>
<url><loc>https://scifaro.com/en/abs/sample-selection-for-fair-and-robust-training-2110.14222</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-selection-for-fair-and-robust-training-2110.14222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-selection-for-fair-and-robust-training-2110.14222"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graph-cellular-automata-2110.14237</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graph-cellular-automata-2110.14237"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graph-cellular-automata-2110.14237"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-population-based-meta-learning-for-multi-agent-communication-with-natural-language-2110.14241</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-population-based-meta-learning-for-multi-agent-communication-with-natural-language-2110.14241"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-population-based-meta-learning-for-multi-agent-communication-with-natural-language-2110.14241"/></url>
<url><loc>https://scifaro.com/en/abs/online-selective-classification-with-limited-feedback-2110.14243</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-selective-classification-with-limited-feedback-2110.14243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-selective-classification-with-limited-feedback-2110.14243"/></url>
<url><loc>https://scifaro.com/en/abs/learning-domain-invariant-representations-in-goal-conditioned-block-mdps-2110.14248</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-domain-invariant-representations-in-goal-conditioned-block-mdps-2110.14248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-domain-invariant-representations-in-goal-conditioned-block-mdps-2110.14248"/></url>
<url><loc>https://scifaro.com/en/abs/multilayer-lookahead-a-nested-version-of-lookahead-2110.14254</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multilayer-lookahead-a-nested-version-of-lookahead-2110.14254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multilayer-lookahead-a-nested-version-of-lookahead-2110.14254"/></url>
<url><loc>https://scifaro.com/en/abs/cascaded-classifier-for-pareto-optimal-accuracy-cost-trade-off-using-off-the-shelf-anns-2110.14256</loc><lastmod>2022-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cascaded-classifier-for-pareto-optimal-accuracy-cost-trade-off-using-off-the-shelf-anns-2110.14256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cascaded-classifier-for-pareto-optimal-accuracy-cost-trade-off-using-off-the-shelf-anns-2110.14256"/></url>
<url><loc>https://scifaro.com/en/abs/sqaler-scaling-question-answering-by-decoupling-multi-hop-and-logical-reasoning-2110.14266</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sqaler-scaling-question-answering-by-decoupling-multi-hop-and-logical-reasoning-2110.14266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sqaler-scaling-question-answering-by-decoupling-multi-hop-and-logical-reasoning-2110.14266"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-shapley-additive-explanations-2110.14270</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-shapley-additive-explanations-2110.14270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-shapley-additive-explanations-2110.14270"/></url>
<url><loc>https://scifaro.com/en/abs/topicnet-semantic-graph-guided-topic-discovery-2110.14286</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topicnet-semantic-graph-guided-topic-discovery-2110.14286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topicnet-semantic-graph-guided-topic-discovery-2110.14286"/></url>
<url><loc>https://scifaro.com/en/abs/a-subgame-perfect-equilibrium-reinforcement-learning-approach-to-time-inconsistent-problems-2110.14295</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-subgame-perfect-equilibrium-reinforcement-learning-approach-to-time-inconsistent-problems-2110.14295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-subgame-perfect-equilibrium-reinforcement-learning-approach-to-time-inconsistent-problems-2110.14295"/></url>
<url><loc>https://scifaro.com/en/abs/learning-stable-deep-dynamics-models-for-partially-observed-or-delayed-dynamical-systems-2110.14296</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-stable-deep-dynamics-models-for-partially-observed-or-delayed-dynamical-systems-2110.14296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-stable-deep-dynamics-models-for-partially-observed-or-delayed-dynamical-systems-2110.14296"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-sanity-checks-for-saliency-maps-2110.14297</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-sanity-checks-for-saliency-maps-2110.14297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-sanity-checks-for-saliency-maps-2110.14297"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-reinforcement-learning-for-active-voltage-control-on-power-distribution-networks-2110.14300</loc><lastmod>2022-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-reinforcement-learning-for-active-voltage-control-on-power-distribution-networks-2110.14300"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-reinforcement-learning-for-active-voltage-control-on-power-distribution-networks-2110.14300"/></url>
<url><loc>https://scifaro.com/en/abs/node-wise-localization-of-graph-neural-networks-2110.14322</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-wise-localization-of-graph-neural-networks-2110.14322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-wise-localization-of-graph-neural-networks-2110.14322"/></url>
<url><loc>https://scifaro.com/en/abs/gacan-graph-attention-convolution-attention-networks-for-traffic-forecasting-based-on-multi-granularity-time-series-2110.14331</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gacan-graph-attention-convolution-attention-networks-for-traffic-forecasting-based-on-multi-granularity-time-series-2110.14331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gacan-graph-attention-convolution-attention-networks-for-traffic-forecasting-based-on-multi-granularity-time-series-2110.14331"/></url>
<url><loc>https://scifaro.com/en/abs/active-lathe-an-active-learning-algorithm-for-boosting-the-error-exponent-for-learning-homogeneous-ising-trees-2110.14341</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-lathe-an-active-learning-algorithm-for-boosting-the-error-exponent-for-learning-homogeneous-ising-trees-2110.14341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-lathe-an-active-learning-algorithm-for-boosting-the-error-exponent-for-learning-homogeneous-ising-trees-2110.14341"/></url>
<url><loc>https://scifaro.com/en/abs/comprehensive-learning-particle-swarm-optimization-enabled-modeling-framework-for-multi-step-ahead-influenza-prediction-2110.14343</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comprehensive-learning-particle-swarm-optimization-enabled-modeling-framework-for-multi-step-ahead-influenza-prediction-2110.14343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comprehensive-learning-particle-swarm-optimization-enabled-modeling-framework-for-multi-step-ahead-influenza-prediction-2110.14343"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-reinforcement-learning-with-discrete-interfaces-to-learn-the-dyck-language-2110.14350</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-reinforcement-learning-with-discrete-interfaces-to-learn-the-dyck-language-2110.14350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-reinforcement-learning-with-discrete-interfaces-to-learn-the-dyck-language-2110.14350"/></url>
<url><loc>https://scifaro.com/en/abs/mixseq-connecting-macroscopic-time-series-forecasting-with-microscopic-time-series-data-2110.14354</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixseq-connecting-macroscopic-time-series-forecasting-with-microscopic-time-series-data-2110.14354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixseq-connecting-macroscopic-time-series-forecasting-with-microscopic-time-series-data-2110.14354"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-with-causal-counterfactual-reasoning-in-decision-transformers-2110.14355</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-with-causal-counterfactual-reasoning-in-decision-transformers-2110.14355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-with-causal-counterfactual-reasoning-in-decision-transformers-2110.14355"/></url>
<url><loc>https://scifaro.com/en/abs/vq-gnn-a-universal-framework-to-scale-up-graph-neural-networks-using-vector-quantization-2110.14363</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vq-gnn-a-universal-framework-to-scale-up-graph-neural-networks-using-vector-quantization-2110.14363"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vq-gnn-a-universal-framework-to-scale-up-graph-neural-networks-using-vector-quantization-2110.14363"/></url>
<url><loc>https://scifaro.com/en/abs/perceptual-score-what-data-modalities-does-your-model-perceive-2110.14375</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perceptual-score-what-data-modalities-does-your-model-perceive-2110.14375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perceptual-score-what-data-modalities-does-your-model-perceive-2110.14375"/></url>
<url><loc>https://scifaro.com/en/abs/node-dependent-local-smoothing-for-scalable-graph-learning-2110.14377</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-dependent-local-smoothing-for-scalable-graph-learning-2110.14377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-dependent-local-smoothing-for-scalable-graph-learning-2110.14377"/></url>
<url><loc>https://scifaro.com/en/abs/learning-where-to-learn-gradient-sparsity-in-meta-and-continual-learning-2110.14402</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-where-to-learn-gradient-sparsity-in-meta-and-continual-learning-2110.14402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-where-to-learn-gradient-sparsity-in-meta-and-continual-learning-2110.14402"/></url>
<url><loc>https://scifaro.com/en/abs/transformers-generalize-deepsets-and-can-be-extended-to-graphs-and-hypergraphs-2110.14416</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformers-generalize-deepsets-and-can-be-extended-to-graphs-and-hypergraphs-2110.14416"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformers-generalize-deepsets-and-can-be-extended-to-graphs-and-hypergraphs-2110.14416"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-neuron-pruning-purifies-backdoored-deep-models-2110.14430</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-neuron-pruning-purifies-backdoored-deep-models-2110.14430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-neuron-pruning-purifies-backdoored-deep-models-2110.14430"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-teaching-by-label-synthesis-2110.14432</loc><lastmod>2023-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-teaching-by-label-synthesis-2110.14432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-teaching-by-label-synthesis-2110.14432"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-learning-on-non-homophilous-graphs-new-benchmarks-and-strong-simple-methods-2110.14446</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-learning-on-non-homophilous-graphs-new-benchmarks-and-strong-simple-methods-2110.14446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-learning-on-non-homophilous-graphs-new-benchmarks-and-strong-simple-methods-2110.14446"/></url>
<url><loc>https://scifaro.com/en/abs/validation-methods-for-energy-time-series-scenarios-from-deep-generative-models-2110.14451</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/validation-methods-for-energy-time-series-scenarios-from-deep-generative-models-2110.14451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/validation-methods-for-energy-time-series-scenarios-from-deep-generative-models-2110.14451"/></url>
<url><loc>https://scifaro.com/en/abs/direct-then-diffuse-incremental-unsupervised-skill-discovery-for-state-covering-and-goal-reaching-2110.14457</loc><lastmod>2022-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/direct-then-diffuse-incremental-unsupervised-skill-discovery-for-state-covering-and-goal-reaching-2110.14457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/direct-then-diffuse-incremental-unsupervised-skill-discovery-for-state-covering-and-goal-reaching-2110.14457"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-gradient-based-meta-learner-2110.14459</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-gradient-based-meta-learner-2110.14459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-gradient-based-meta-learner-2110.14459"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-demonstrations-with-sacr2-soft-actor-critic-with-reward-relabeling-2110.14464</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-demonstrations-with-sacr2-soft-actor-critic-with-reward-relabeling-2110.14464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-demonstrations-with-sacr2-soft-actor-critic-with-reward-relabeling-2110.14464"/></url>
<url><loc>https://scifaro.com/en/abs/desta-a-framework-for-safe-reinforcement-learning-with-markov-games-of-intervention-2110.14468</loc><lastmod>2023-03-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/desta-a-framework-for-safe-reinforcement-learning-with-markov-games-of-intervention-2110.14468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/desta-a-framework-for-safe-reinforcement-learning-with-markov-games-of-intervention-2110.14468"/></url>
<url><loc>https://scifaro.com/en/abs/simple-data-balancing-achieves-competitive-worst-group-accuracy-2110.14503</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-data-balancing-achieves-competitive-worst-group-accuracy-2110.14503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-data-balancing-achieves-competitive-worst-group-accuracy-2110.14503"/></url>
<url><loc>https://scifaro.com/en/abs/finding-regions-of-heterogeneity-in-decision-making-via-expected-conditional-covariance-2110.14508</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-regions-of-heterogeneity-in-decision-making-via-expected-conditional-covariance-2110.14508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-regions-of-heterogeneity-in-decision-making-via-expected-conditional-covariance-2110.14508"/></url>
<url><loc>https://scifaro.com/en/abs/deep-transfer-learning-for-multi-source-entity-linkage-via-domain-adaptation-2110.14509</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-transfer-learning-for-multi-source-entity-linkage-via-domain-adaptation-2110.14509"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-transfer-learning-for-multi-source-entity-linkage-via-domain-adaptation-2110.14509"/></url>
<url><loc>https://scifaro.com/en/abs/nida-clifgan-natural-infrastructure-damage-assessment-through-efficient-classification-combining-contrastive-learning-information-fusion-and-generative-adversarial-networks-2110.14518</loc><lastmod>2025-08-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nida-clifgan-natural-infrastructure-damage-assessment-through-efficient-classification-combining-contrastive-learning-information-fusion-and-generative-adversarial-networks-2110.14518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nida-clifgan-natural-infrastructure-damage-assessment-through-efficient-classification-combining-contrastive-learning-information-fusion-and-generative-adversarial-networks-2110.14518"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-multi-agent-reinforcement-learning-with-tensor-decompositions-2110.14524</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-multi-agent-reinforcement-learning-with-tensor-decompositions-2110.14524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-multi-agent-reinforcement-learning-with-tensor-decompositions-2110.14524"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-in-factored-action-spaces-using-tensor-decompositions-2110.14538</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-in-factored-action-spaces-using-tensor-decompositions-2110.14538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-in-factored-action-spaces-using-tensor-decompositions-2110.14538"/></url>
<url><loc>https://scifaro.com/en/abs/genurl-a-general-framework-for-unsupervised-representation-learning-2110.14553</loc><lastmod>2024-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/genurl-a-general-framework-for-unsupervised-representation-learning-2110.14553"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/genurl-a-general-framework-for-unsupervised-representation-learning-2110.14553"/></url>
<url><loc>https://scifaro.com/en/abs/v-learning-a-simple-efficient-decentralized-algorithm-for-multiagent-rl-2110.14555</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/v-learning-a-simple-efficient-decentralized-algorithm-for-multiagent-rl-2110.14555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/v-learning-a-simple-efficient-decentralized-algorithm-for-multiagent-rl-2110.14555"/></url>
<url><loc>https://scifaro.com/en/abs/dreamerpro-reconstruction-free-model-based-reinforcement-learning-with-prototypical-representations-2110.14565</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dreamerpro-reconstruction-free-model-based-reinforcement-learning-with-prototypical-representations-2110.14565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dreamerpro-reconstruction-free-model-based-reinforcement-learning-with-prototypical-representations-2110.14565"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-federated-learning-for-massive-wireless-edge-networks-2110.14578</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-federated-learning-for-massive-wireless-edge-networks-2110.14578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-federated-learning-for-massive-wireless-edge-networks-2110.14578"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-via-message-passing-algorithms-based-on-belief-propagation-2110.14583</loc><lastmod>2022-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-via-message-passing-algorithms-based-on-belief-propagation-2110.14583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-via-message-passing-algorithms-based-on-belief-propagation-2110.14583"/></url>
<url><loc>https://scifaro.com/en/abs/fuzzy-generative-adversarial-networks-2110.14588</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fuzzy-generative-adversarial-networks-2110.14588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fuzzy-generative-adversarial-networks-2110.14588"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-bayesian-network-structure-learning-with-splines-2110.14626</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-bayesian-network-structure-learning-with-splines-2110.14626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-bayesian-network-structure-learning-with-splines-2110.14626"/></url>
<url><loc>https://scifaro.com/en/abs/similarity-and-matching-of-neural-network-representations-2110.14633</loc><lastmod>2021-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/similarity-and-matching-of-neural-network-representations-2110.14633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/similarity-and-matching-of-neural-network-representations-2110.14633"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-sparse-implicit-neural-representations-2110.14678</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-sparse-implicit-neural-representations-2110.14678"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-sparse-implicit-neural-representations-2110.14678"/></url>
<url><loc>https://scifaro.com/en/abs/identifiable-generative-models-for-missing-not-at-random-data-imputation-2110.14708</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifiable-generative-models-for-missing-not-at-random-data-imputation-2110.14708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifiable-generative-models-for-missing-not-at-random-data-imputation-2110.14708"/></url>
<url><loc>https://scifaro.com/en/abs/towards-evaluating-the-robustness-of-neural-networks-learned-by-transduction-2110.14735</loc><lastmod>2022-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-evaluating-the-robustness-of-neural-networks-learned-by-transduction-2110.14735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-evaluating-the-robustness-of-neural-networks-learned-by-transduction-2110.14735"/></url>
<url><loc>https://scifaro.com/en/abs/confidence-aware-imitation-learning-from-demonstrations-with-varying-optimality-2110.14754</loc><lastmod>2022-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confidence-aware-imitation-learning-from-demonstrations-with-varying-optimality-2110.14754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confidence-aware-imitation-learning-from-demonstrations-with-varying-optimality-2110.14754"/></url>
<url><loc>https://scifaro.com/en/abs/algorithmic-encoding-of-protected-characteristics-in-image-based-models-for-disease-detection-2110.14755</loc><lastmod>2022-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithmic-encoding-of-protected-characteristics-in-image-based-models-for-disease-detection-2110.14755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithmic-encoding-of-protected-characteristics-in-image-based-models-for-disease-detection-2110.14755"/></url>
<url><loc>https://scifaro.com/en/abs/regularized-frank-wolfe-for-dense-crfs-generalizing-mean-field-and-beyond-2110.14759</loc><lastmod>2022-09-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularized-frank-wolfe-for-dense-crfs-generalizing-mean-field-and-beyond-2110.14759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularized-frank-wolfe-for-dense-crfs-generalizing-mean-field-and-beyond-2110.14759"/></url>
<url><loc>https://scifaro.com/en/abs/trail-near-optimal-imitation-learning-with-suboptimal-data-2110.14770</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trail-near-optimal-imitation-learning-with-suboptimal-data-2110.14770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trail-near-optimal-imitation-learning-with-suboptimal-data-2110.14770"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-in-linear-mdps-constant-regret-and-representation-selection-2110.14798</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-in-linear-mdps-constant-regret-and-representation-selection-2110.14798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-in-linear-mdps-constant-regret-and-representation-selection-2110.14798"/></url>
<url><loc>https://scifaro.com/en/abs/you-are-the-best-reviewer-of-your-own-papers-an-owner-assisted-scoring-mechanism-2110.14802</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/you-are-the-best-reviewer-of-your-own-papers-an-owner-assisted-scoring-mechanism-2110.14802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/you-are-the-best-reviewer-of-your-own-papers-an-owner-assisted-scoring-mechanism-2110.14802"/></url>
<url><loc>https://scifaro.com/en/abs/l2ight-enabling-on-chip-learning-for-optical-neural-networks-via-efficient-in-situ-subspace-optimization-2110.14807</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/l2ight-enabling-on-chip-learning-for-optical-neural-networks-via-efficient-in-situ-subspace-optimization-2110.14807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/l2ight-enabling-on-chip-learning-for-optical-neural-networks-via-efficient-in-situ-subspace-optimization-2110.14807"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-taxonomy-of-graph-learning-datasets-2110.14809</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-taxonomy-of-graph-learning-datasets-2110.14809"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-taxonomy-of-graph-learning-datasets-2110.14809"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-nas-framework-and-application-to-ads-ctr-prediction-2110.14812</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-nas-framework-and-application-to-ads-ctr-prediction-2110.14812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-nas-framework-and-application-to-ads-ctr-prediction-2110.14812"/></url>
<url><loc>https://scifaro.com/en/abs/stable-anderson-acceleration-for-deep-learning-2110.14813</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stable-anderson-acceleration-for-deep-learning-2110.14813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stable-anderson-acceleration-for-deep-learning-2110.14813"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-federated-adversarial-training-with-non-iid-data-2110.14814</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-federated-adversarial-training-with-non-iid-data-2110.14814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-federated-adversarial-training-with-non-iid-data-2110.14814"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-difference-value-estimation-via-uncertainty-guided-soft-updates-2110.14818</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-difference-value-estimation-via-uncertainty-guided-soft-updates-2110.14818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-difference-value-estimation-via-uncertainty-guided-soft-updates-2110.14818"/></url>
<url><loc>https://scifaro.com/en/abs/normality-calibrated-autoencoder-for-unsupervised-anomaly-detection-on-data-contamination-2110.14825</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/normality-calibrated-autoencoder-for-unsupervised-anomaly-detection-on-data-contamination-2110.14825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/normality-calibrated-autoencoder-for-unsupervised-anomaly-detection-on-data-contamination-2110.14825"/></url>
<url><loc>https://scifaro.com/en/abs/sim-ecg-a-signal-importance-mask-driven-ecgclassification-system-2110.14835</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sim-ecg-a-signal-importance-mask-driven-ecgclassification-system-2110.14835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sim-ecg-a-signal-importance-mask-driven-ecgclassification-system-2110.14835"/></url>
<url><loc>https://scifaro.com/en/abs/rim-reliable-influence-based-active-learning-on-graphs-2110.14854</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rim-reliable-influence-based-active-learning-on-graphs-2110.14854"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rim-reliable-influence-based-active-learning-on-graphs-2110.14854"/></url>
<url><loc>https://scifaro.com/en/abs/cap-co-adversarial-perturbation-on-weights-and-features-for-improving-generalization-of-graph-neural-networks-2110.14855</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cap-co-adversarial-perturbation-on-weights-and-features-for-improving-generalization-of-graph-neural-networks-2110.14855"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cap-co-adversarial-perturbation-on-weights-and-features-for-improving-generalization-of-graph-neural-networks-2110.14855"/></url>
<url><loc>https://scifaro.com/en/abs/an-operator-theoretic-view-on-pruning-deep-neural-networks-2110.14856</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-operator-theoretic-view-on-pruning-deep-neural-networks-2110.14856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-operator-theoretic-view-on-pruning-deep-neural-networks-2110.14856"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-decomposable-submodular-function-minimization-for-cardinality-based-components-2110.14859</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-decomposable-submodular-function-minimization-for-cardinality-based-components-2110.14859"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-decomposable-submodular-function-minimization-for-cardinality-based-components-2110.14859"/></url>
<url><loc>https://scifaro.com/en/abs/selective-sampling-for-online-best-arm-identification-2110.14864</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-sampling-for-online-best-arm-identification-2110.14864"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-sampling-for-online-best-arm-identification-2110.14864"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-depthwise-separable-convolutions-for-adversarially-robust-and-efficient-neural-networks-2110.14871</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-depthwise-separable-convolutions-for-adversarially-robust-and-efficient-neural-networks-2110.14871"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-depthwise-separable-convolutions-for-adversarially-robust-and-efficient-neural-networks-2110.14871"/></url>
<url><loc>https://scifaro.com/en/abs/sayer-using-implicit-feedback-to-optimize-system-policies-2110.14874</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sayer-using-implicit-feedback-to-optimize-system-policies-2110.14874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sayer-using-implicit-feedback-to-optimize-system-policies-2110.14874"/></url>
<url><loc>https://scifaro.com/en/abs/aeva-black-box-backdoor-detection-using-adversarial-extreme-value-analysis-2110.14880</loc><lastmod>2022-02-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aeva-black-box-backdoor-detection-using-adversarial-extreme-value-analysis-2110.14880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aeva-black-box-backdoor-detection-using-adversarial-extreme-value-analysis-2110.14880"/></url>
<url><loc>https://scifaro.com/en/abs/colossal-ai-a-unified-deep-learning-system-for-large-scale-parallel-training-2110.14883</loc><lastmod>2023-10-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/colossal-ai-a-unified-deep-learning-system-for-large-scale-parallel-training-2110.14883"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/colossal-ai-a-unified-deep-learning-system-for-large-scale-parallel-training-2110.14883"/></url>
<url><loc>https://scifaro.com/en/abs/teaching-an-active-learner-with-contrastive-examples-2110.14888</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/teaching-an-active-learner-with-contrastive-examples-2110.14888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/teaching-an-active-learner-with-contrastive-examples-2110.14888"/></url>
<url><loc>https://scifaro.com/en/abs/smore-knowledge-graph-completion-and-multi-hop-reasoning-in-massive-knowledge-graphs-2110.14890</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smore-knowledge-graph-completion-and-multi-hop-reasoning-in-massive-knowledge-graphs-2110.14890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smore-knowledge-graph-completion-and-multi-hop-reasoning-in-massive-knowledge-graphs-2110.14890"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-heterogeneous-hierarchies-with-relation-specific-hyperbolic-cones-2110.14923</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-heterogeneous-hierarchies-with-relation-specific-hyperbolic-cones-2110.14923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-heterogeneous-hierarchies-with-relation-specific-hyperbolic-cones-2110.14923"/></url>
<url><loc>https://scifaro.com/en/abs/exploration-of-algorithmic-trading-strategies-for-the-bitcoin-market-2110.14936</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploration-of-algorithmic-trading-strategies-for-the-bitcoin-market-2110.14936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploration-of-algorithmic-trading-strategies-for-the-bitcoin-market-2110.14936"/></url>
<url><loc>https://scifaro.com/en/abs/computational-intelligence-and-deep-learning-for-next-generation-edge-enabled-industrial-iot-2110.14937</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-intelligence-and-deep-learning-for-next-generation-edge-enabled-industrial-iot-2110.14937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-intelligence-and-deep-learning-for-next-generation-edge-enabled-industrial-iot-2110.14937"/></url>
<url><loc>https://scifaro.com/en/abs/preventing-posterior-collapse-in-variational-autoencoders-for-text-generation-via-decoder-regularization-2110.14945</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/preventing-posterior-collapse-in-variational-autoencoders-for-text-generation-via-decoder-regularization-2110.14945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/preventing-posterior-collapse-in-variational-autoencoders-for-text-generation-via-decoder-regularization-2110.14945"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-neural-processes-2110.14953</loc><lastmod>2022-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-neural-processes-2110.14953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-neural-processes-2110.14953"/></url>
<url><loc>https://scifaro.com/en/abs/roto-translated-local-coordinate-frames-for-interacting-dynamical-systems-2110.14961</loc><lastmod>2024-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/roto-translated-local-coordinate-frames-for-interacting-dynamical-systems-2110.14961"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/roto-translated-local-coordinate-frames-for-interacting-dynamical-systems-2110.14961"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-inversion-with-generative-image-prior-2110.14962</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-inversion-with-generative-image-prior-2110.14962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-inversion-with-generative-image-prior-2110.14962"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-empirical-mode-decomposition-based-hybrid-model-for-day-ahead-peak-load-forecasting-2110.14980</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-empirical-mode-decomposition-based-hybrid-model-for-day-ahead-peak-load-forecasting-2110.14980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-empirical-mode-decomposition-based-hybrid-model-for-day-ahead-peak-load-forecasting-2110.14980"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-approach-for-fighting-the-curse-of-dimensionality-in-global-optimization-2110.14985</loc><lastmod>2022-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-approach-for-fighting-the-curse-of-dimensionality-in-global-optimization-2110.14985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-approach-for-fighting-the-curse-of-dimensionality-in-global-optimization-2110.14985"/></url>
<url><loc>https://scifaro.com/en/abs/using-time-series-privileged-information-for-provably-efficient-learning-of-prediction-models-2110.14993</loc><lastmod>2022-05-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-time-series-privileged-information-for-provably-efficient-learning-of-prediction-models-2110.14993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-time-series-privileged-information-for-provably-efficient-learning-of-prediction-models-2110.14993"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-explainability-of-hospitalization-prediction-on-a-large-covid-19-patient-dataset-2110.15002</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-explainability-of-hospitalization-prediction-on-a-large-covid-19-patient-dataset-2110.15002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-explainability-of-hospitalization-prediction-on-a-large-covid-19-patient-dataset-2110.15002"/></url>
<url><loc>https://scifaro.com/en/abs/learning-deep-representation-with-energy-based-self-expressiveness-for-subspace-clustering-2110.15037</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-deep-representation-with-energy-based-self-expressiveness-for-subspace-clustering-2110.15037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-deep-representation-with-energy-based-self-expressiveness-for-subspace-clustering-2110.15037"/></url>
<url><loc>https://scifaro.com/en/abs/hindsight-goal-ranking-on-replay-buffer-for-sparse-reward-environment-2110.15043</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hindsight-goal-ranking-on-replay-buffer-for-sparse-reward-environment-2110.15043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hindsight-goal-ranking-on-replay-buffer-for-sparse-reward-environment-2110.15043"/></url>
<url><loc>https://scifaro.com/en/abs/the-chemical-space-of-terpenes-insights-from-data-science-and-ai-2110.15047</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-chemical-space-of-terpenes-insights-from-data-science-and-ai-2110.15047"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-chemical-space-of-terpenes-insights-from-data-science-and-ai-2110.15047"/></url>
<url><loc>https://scifaro.com/en/abs/validating-gaussian-process-models-with-simulation-based-calibration-2110.15049</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/validating-gaussian-process-models-with-simulation-based-calibration-2110.15049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/validating-gaussian-process-models-with-simulation-based-calibration-2110.15049"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-in-multi-task-learning-promises-and-illusions-2110.15053</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-in-multi-task-learning-promises-and-illusions-2110.15053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-in-multi-task-learning-promises-and-illusions-2110.15053"/></url>
<url><loc>https://scifaro.com/en/abs/brain-inspired-feature-exaggeration-in-generative-replay-for-continual-learning-2110.15056</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/brain-inspired-feature-exaggeration-in-generative-replay-for-continual-learning-2110.15056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/brain-inspired-feature-exaggeration-in-generative-replay-for-continual-learning-2110.15056"/></url>
<url><loc>https://scifaro.com/en/abs/mapping-conditional-distributions-for-domain-adaptation-under-generalized-target-shift-2110.15057</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mapping-conditional-distributions-for-domain-adaptation-under-generalized-target-shift-2110.15057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mapping-conditional-distributions-for-domain-adaptation-under-generalized-target-shift-2110.15057"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-recursive-gumbel-max-trick-for-approximate-inference-in-combinatorial-spaces-2110.15072</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-recursive-gumbel-max-trick-for-approximate-inference-in-combinatorial-spaces-2110.15072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-recursive-gumbel-max-trick-for-approximate-inference-in-combinatorial-spaces-2110.15072"/></url>
<url><loc>https://scifaro.com/en/abs/improving-causal-effect-estimation-of-weighted-regressionbased-estimator-using-neural-networks-2110.15075</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-causal-effect-estimation-of-weighted-regressionbased-estimator-using-neural-networks-2110.15075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-causal-effect-estimation-of-weighted-regressionbased-estimator-using-neural-networks-2110.15075"/></url>
<url><loc>https://scifaro.com/en/abs/moomin-deep-molecular-omics-network-for-anti-cancer-drug-combination-therapy-2110.15087</loc><lastmod>2022-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/moomin-deep-molecular-omics-network-for-anti-cancer-drug-combination-therapy-2110.15087"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/moomin-deep-molecular-omics-network-for-anti-cancer-drug-combination-therapy-2110.15087"/></url>
<url><loc>https://scifaro.com/en/abs/a-law-of-iterated-logarithm-for-multi-agent-reinforcement-learning-2110.15092</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-law-of-iterated-logarithm-for-multi-agent-reinforcement-learning-2110.15092"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-law-of-iterated-logarithm-for-multi-agent-reinforcement-learning-2110.15092"/></url>
<url><loc>https://scifaro.com/en/abs/finite-horizon-q-learning-stability-convergence-simulations-and-an-application-on-smart-grids-2110.15093</loc><lastmod>2022-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-horizon-q-learning-stability-convergence-simulations-and-an-application-on-smart-grids-2110.15093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-horizon-q-learning-stability-convergence-simulations-and-an-application-on-smart-grids-2110.15093"/></url>
<url><loc>https://scifaro.com/en/abs/mosaicking-to-distill-knowledge-distillation-from-out-of-domain-data-2110.15094</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mosaicking-to-distill-knowledge-distillation-from-out-of-domain-data-2110.15094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mosaicking-to-distill-knowledge-distillation-from-out-of-domain-data-2110.15094"/></url>
<url><loc>https://scifaro.com/en/abs/choosing-the-best-of-both-worlds-diverse-and-novel-recommendations-through-multi-objective-reinforcement-learning-2110.15097</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/choosing-the-best-of-both-worlds-diverse-and-novel-recommendations-through-multi-objective-reinforcement-learning-2110.15097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/choosing-the-best-of-both-worlds-diverse-and-novel-recommendations-through-multi-objective-reinforcement-learning-2110.15097"/></url>
<url><loc>https://scifaro.com/en/abs/a-game-theoretic-approach-for-improving-generalization-ability-of-tsp-solvers-2110.15105</loc><lastmod>2022-05-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-game-theoretic-approach-for-improving-generalization-ability-of-tsp-solvers-2110.15105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-game-theoretic-approach-for-improving-generalization-ability-of-tsp-solvers-2110.15105"/></url>
<url><loc>https://scifaro.com/en/abs/multi-class-anomaly-detection-2110.15108</loc><lastmod>2022-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-class-anomaly-detection-2110.15108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-class-anomaly-detection-2110.15108"/></url>
<url><loc>https://scifaro.com/en/abs/cafe-catastrophic-data-leakage-in-vertical-federated-learning-2110.15122</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cafe-catastrophic-data-leakage-in-vertical-federated-learning-2110.15122"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cafe-catastrophic-data-leakage-in-vertical-federated-learning-2110.15122"/></url>
<url><loc>https://scifaro.com/en/abs/lightweight-mobile-automated-assistant-to-physician-for-global-lower-resource-areas-2110.15127</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lightweight-mobile-automated-assistant-to-physician-for-global-lower-resource-areas-2110.15127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lightweight-mobile-automated-assistant-to-physician-for-global-lower-resource-areas-2110.15127"/></url>
<url><loc>https://scifaro.com/en/abs/generating-table-vector-representations-2110.15132</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-table-vector-representations-2110.15132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-table-vector-representations-2110.15132"/></url>
<url><loc>https://scifaro.com/en/abs/aggregation-as-unsupervised-learning-and-its-evaluation-2110.15136</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggregation-as-unsupervised-learning-and-its-evaluation-2110.15136"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggregation-as-unsupervised-learning-and-its-evaluation-2110.15136"/></url>
<url><loc>https://scifaro.com/en/abs/pac-bayesian-learning-of-aggregated-binary-activated-neural-networks-with-probabilities-over-representations-2110.15137</loc><lastmod>2023-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pac-bayesian-learning-of-aggregated-binary-activated-neural-networks-with-probabilities-over-representations-2110.15137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pac-bayesian-learning-of-aggregated-binary-activated-neural-networks-with-probabilities-over-representations-2110.15137"/></url>
<url><loc>https://scifaro.com/en/abs/extracting-expert-s-goals-by-what-if-interpretable-modeling-2110.15165</loc><lastmod>2022-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extracting-expert-s-goals-by-what-if-interpretable-modeling-2110.15165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extracting-expert-s-goals-by-what-if-interpretable-modeling-2110.15165"/></url>
<url><loc>https://scifaro.com/en/abs/conditioning-sparse-variational-gaussian-processes-for-online-decision-making-2110.15172</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditioning-sparse-variational-gaussian-processes-for-online-decision-making-2110.15172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditioning-sparse-variational-gaussian-processes-for-online-decision-making-2110.15172"/></url>
<url><loc>https://scifaro.com/en/abs/on-provable-benefits-of-depth-in-training-graph-convolutional-networks-2110.15174</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-provable-benefits-of-depth-in-training-graph-convolutional-networks-2110.15174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-provable-benefits-of-depth-in-training-graph-convolutional-networks-2110.15174"/></url>
<url><loc>https://scifaro.com/en/abs/dist2cycle-a-simplicial-neural-network-for-homology-localization-2110.15182</loc><lastmod>2022-07-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dist2cycle-a-simplicial-neural-network-for-homology-localization-2110.15182"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dist2cycle-a-simplicial-neural-network-for-homology-localization-2110.15182"/></url>
<url><loc>https://scifaro.com/en/abs/the-magnitude-vector-of-images-2110.15188</loc><lastmod>2024-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-magnitude-vector-of-images-2110.15188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-magnitude-vector-of-images-2110.15188"/></url>
<url><loc>https://scifaro.com/en/abs/urlb-unsupervised-reinforcement-learning-benchmark-2110.15191</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/urlb-unsupervised-reinforcement-learning-benchmark-2110.15191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/urlb-unsupervised-reinforcement-learning-benchmark-2110.15191"/></url>
<url><loc>https://scifaro.com/en/abs/rgp-neural-network-pruning-through-its-regular-graph-structure-2110.15192</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rgp-neural-network-pruning-through-its-regular-graph-structure-2110.15192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rgp-neural-network-pruning-through-its-regular-graph-structure-2110.15192"/></url>
<url><loc>https://scifaro.com/en/abs/towards-model-agnostic-federated-learning-using-knowledge-distillation-2110.15210</loc><lastmod>2022-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-model-agnostic-federated-learning-using-knowledge-distillation-2110.15210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-model-agnostic-federated-learning-using-knowledge-distillation-2110.15210"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-covariate-and-concept-shift-for-detection-and-calibration-of-out-of-distribution-data-2110.15231</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-covariate-and-concept-shift-for-detection-and-calibration-of-out-of-distribution-data-2110.15231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-covariate-and-concept-shift-for-detection-and-calibration-of-out-of-distribution-data-2110.15231"/></url>
<url><loc>https://scifaro.com/en/abs/guided-evolution-for-neural-architecture-search-2110.15232</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guided-evolution-for-neural-architecture-search-2110.15232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guided-evolution-for-neural-architecture-search-2110.15232"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-heterogeneous-differential-privacy-2110.15252</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-heterogeneous-differential-privacy-2110.15252"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-heterogeneous-differential-privacy-2110.15252"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-how-encoder-decoder-architectures-attend-2110.15253</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-how-encoder-decoder-architectures-attend-2110.15253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-how-encoder-decoder-architectures-attend-2110.15253"/></url>
<url><loc>https://scifaro.com/en/abs/coresets-for-time-series-clustering-2110.15263</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coresets-for-time-series-clustering-2110.15263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coresets-for-time-series-clustering-2110.15263"/></url>
<url><loc>https://scifaro.com/en/abs/omasgan-out-of-distribution-minimum-anomaly-score-gan-for-sample-generation-on-the-boundary-2110.15273</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/omasgan-out-of-distribution-minimum-anomaly-score-gan-for-sample-generation-on-the-boundary-2110.15273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/omasgan-out-of-distribution-minimum-anomaly-score-gan-for-sample-generation-on-the-boundary-2110.15273"/></url>
<url><loc>https://scifaro.com/en/abs/hyper-representations-self-supervised-representation-learning-on-neural-network-weights-for-model-characteristic-prediction-2110.15288</loc><lastmod>2022-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyper-representations-self-supervised-representation-learning-on-neural-network-weights-for-model-characteristic-prediction-2110.15288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyper-representations-self-supervised-representation-learning-on-neural-network-weights-for-model-characteristic-prediction-2110.15288"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-control-using-image-feedback-2110.15290</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-control-using-image-feedback-2110.15290"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-control-using-image-feedback-2110.15290"/></url>
<url><loc>https://scifaro.com/en/abs/class-wise-thresholding-for-robust-out-of-distribution-detection-2110.15292</loc><lastmod>2022-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/class-wise-thresholding-for-robust-out-of-distribution-detection-2110.15292"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/class-wise-thresholding-for-robust-out-of-distribution-detection-2110.15292"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-boost-autoencoders-2110.15307</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-boost-autoencoders-2110.15307"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-boost-autoencoders-2110.15307"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-admm-based-federated-learning-2110.15318</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-admm-based-federated-learning-2110.15318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-admm-based-federated-learning-2110.15318"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-distance-maximizing-intrinsic-control-2110.15331</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-distance-maximizing-intrinsic-control-2110.15331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-distance-maximizing-intrinsic-control-2110.15331"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-reinforcement-learning-efficient-off-policy-evaluation-in-partially-observed-markov-decision-processes-2110.15332</loc><lastmod>2023-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-reinforcement-learning-efficient-off-policy-evaluation-in-partially-observed-markov-decision-processes-2110.15332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-reinforcement-learning-efficient-off-policy-evaluation-in-partially-observed-markov-decision-processes-2110.15332"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-sequential-optimal-experimental-design-for-nonlinear-models-using-policy-gradient-reinforcement-learning-2110.15335</loc><lastmod>2024-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-sequential-optimal-experimental-design-for-nonlinear-models-using-policy-gradient-reinforcement-learning-2110.15335"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-sequential-optimal-experimental-design-for-nonlinear-models-using-policy-gradient-reinforcement-learning-2110.15335"/></url>
<url><loc>https://scifaro.com/en/abs/scatterbrain-unifying-sparse-and-low-rank-attention-approximation-2110.15343</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scatterbrain-unifying-sparse-and-low-rank-attention-approximation-2110.15343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scatterbrain-unifying-sparse-and-low-rank-attention-approximation-2110.15343"/></url>
<url><loc>https://scifaro.com/en/abs/residual-relaxation-for-multi-view-representation-learning-2110.15348</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/residual-relaxation-for-multi-view-representation-learning-2110.15348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/residual-relaxation-for-multi-view-representation-learning-2110.15348"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-ground-multi-agent-communication-with-autoencoders-2110.15349</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-ground-multi-agent-communication-with-autoencoders-2110.15349"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-ground-multi-agent-communication-with-autoencoders-2110.15349"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-latent-representations-with-a-corpus-of-examples-2110.15355</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-latent-representations-with-a-corpus-of-examples-2110.15355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-latent-representations-with-a-corpus-of-examples-2110.15355"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-robotic-reinforcement-learning-via-parameterized-action-primitives-2110.15360</loc><lastmod>2021-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-robotic-reinforcement-learning-via-parameterized-action-primitives-2110.15360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-robotic-reinforcement-learning-via-parameterized-action-primitives-2110.15360"/></url>
<url><loc>https://scifaro.com/en/abs/bittrain-sparse-bitmap-compression-for-memory-efficient-training-on-the-edge-2110.15362</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bittrain-sparse-bitmap-compression-for-memory-efficient-training-on-the-edge-2110.15362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bittrain-sparse-bitmap-compression-for-memory-efficient-training-on-the-edge-2110.15362"/></url>
<url><loc>https://scifaro.com/en/abs/a-computationally-efficient-method-for-learning-exponential-family-distributions-2110.15397</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-computationally-efficient-method-for-learning-exponential-family-distributions-2110.15397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-computationally-efficient-method-for-learning-exponential-family-distributions-2110.15397"/></url>
<url><loc>https://scifaro.com/en/abs/selective-regression-under-fairness-criteria-2110.15403</loc><lastmod>2022-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-regression-under-fairness-criteria-2110.15403"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-regression-under-fairness-criteria-2110.15403"/></url>
<url><loc>https://scifaro.com/en/abs/radbert-cl-factually-aware-contrastive-learning-for-radiology-report-classification-2110.15426</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/radbert-cl-factually-aware-contrastive-learning-for-radiology-report-classification-2110.15426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/radbert-cl-factually-aware-contrastive-learning-for-radiology-report-classification-2110.15426"/></url>
<url><loc>https://scifaro.com/en/abs/infogcl-information-aware-graph-contrastive-learning-2110.15438</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infogcl-information-aware-graph-contrastive-learning-2110.15438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infogcl-information-aware-graph-contrastive-learning-2110.15438"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-unidirectional-pareto-optimality-for-multi-task-learning-with-constraints-2110.15442</loc><lastmod>2022-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-unidirectional-pareto-optimality-for-multi-task-learning-with-constraints-2110.15442"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-unidirectional-pareto-optimality-for-multi-task-learning-with-constraints-2110.15442"/></url>
<url><loc>https://scifaro.com/en/abs/vigdet-knowledge-informed-neural-temporal-point-process-for-coordination-detection-on-social-media-2110.15454</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vigdet-knowledge-informed-neural-temporal-point-process-for-coordination-detection-on-social-media-2110.15454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vigdet-knowledge-informed-neural-temporal-point-process-for-coordination-detection-on-social-media-2110.15454"/></url>
<url><loc>https://scifaro.com/en/abs/fast-dnn-training-under-variable-precision-block-floating-point-with-stochastic-rounding-2110.15456</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-dnn-training-under-variable-precision-block-floating-point-with-stochastic-rounding-2110.15456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-dnn-training-under-variable-precision-block-floating-point-with-stochastic-rounding-2110.15456"/></url>
<url><loc>https://scifaro.com/en/abs/brick-by-brick-combinatorial-construction-with-deep-reinforcement-learning-2110.15481</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/brick-by-brick-combinatorial-construction-with-deep-reinforcement-learning-2110.15481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/brick-by-brick-combinatorial-construction-with-deep-reinforcement-learning-2110.15481"/></url>
<url><loc>https://scifaro.com/en/abs/cycle-balanced-representation-learning-for-counterfactual-inference-2110.15484</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cycle-balanced-representation-learning-for-counterfactual-inference-2110.15484"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cycle-balanced-representation-learning-for-counterfactual-inference-2110.15484"/></url>
<url><loc>https://scifaro.com/en/abs/location-routing-optimisation-for-urban-logistics-using-mobile-parcel-locker-based-on-hybrid-q-learning-algorithm-2110.15485</loc><lastmod>2024-12-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/location-routing-optimisation-for-urban-logistics-using-mobile-parcel-locker-based-on-hybrid-q-learning-algorithm-2110.15485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/location-routing-optimisation-for-urban-logistics-using-mobile-parcel-locker-based-on-hybrid-q-learning-algorithm-2110.15485"/></url>
<url><loc>https://scifaro.com/en/abs/galilai-out-of-task-distribution-detection-using-causal-active-experimentation-for-safe-transfer-rl-2110.15489</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/galilai-out-of-task-distribution-detection-using-causal-active-experimentation-for-safe-transfer-rl-2110.15489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/galilai-out-of-task-distribution-detection-using-causal-active-experimentation-for-safe-transfer-rl-2110.15489"/></url>
<url><loc>https://scifaro.com/en/abs/a-pre-processing-method-for-fairness-in-ranking-2110.15503</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-pre-processing-method-for-fairness-in-ranking-2110.15503"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-pre-processing-method-for-fairness-in-ranking-2110.15503"/></url>
<url><loc>https://scifaro.com/en/abs/on-label-shift-in-domain-adaptation-via-wasserstein-distance-2110.15520</loc><lastmod>2022-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-label-shift-in-domain-adaptation-via-wasserstein-distance-2110.15520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-label-shift-in-domain-adaptation-via-wasserstein-distance-2110.15520"/></url>
<url><loc>https://scifaro.com/en/abs/adds-adaptive-differentiable-sampling-for-robust-multi-party-learning-2110.15522</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adds-adaptive-differentiable-sampling-for-robust-multi-party-learning-2110.15522"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adds-adaptive-differentiable-sampling-for-robust-multi-party-learning-2110.15522"/></url>
<url><loc>https://scifaro.com/en/abs/deconvolutional-networks-on-graph-data-2110.15528</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deconvolutional-networks-on-graph-data-2110.15528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deconvolutional-networks-on-graph-data-2110.15528"/></url>
<url><loc>https://scifaro.com/en/abs/topological-relational-learning-on-graphs-2110.15529</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topological-relational-learning-on-graphs-2110.15529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topological-relational-learning-on-graphs-2110.15529"/></url>
<url><loc>https://scifaro.com/en/abs/on-cross-layer-alignment-for-model-fusion-of-heterogeneous-neural-networks-2110.15538</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-cross-layer-alignment-for-model-fusion-of-heterogeneous-neural-networks-2110.15538"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-cross-layer-alignment-for-model-fusion-of-heterogeneous-neural-networks-2110.15538"/></url>
<url><loc>https://scifaro.com/en/abs/improving-fairness-via-federated-learning-2110.15545</loc><lastmod>2022-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-fairness-via-federated-learning-2110.15545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-fairness-via-federated-learning-2110.15545"/></url>
<url><loc>https://scifaro.com/en/abs/does-momentum-help-a-sample-complexity-analysis-2110.15547</loc><lastmod>2022-07-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-momentum-help-a-sample-complexity-analysis-2110.15547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-momentum-help-a-sample-complexity-analysis-2110.15547"/></url>
<url><loc>https://scifaro.com/en/abs/latent-cognizance-what-machine-really-learns-2110.15548</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-cognizance-what-machine-really-learns-2110.15548"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-cognizance-what-machine-really-learns-2110.15548"/></url>
<url><loc>https://scifaro.com/en/abs/crowd-sensing-enhanced-parking-patrol-using-trajectories-of-sharing-bikes-2110.15557</loc><lastmod>2022-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crowd-sensing-enhanced-parking-patrol-using-trajectories-of-sharing-bikes-2110.15557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crowd-sensing-enhanced-parking-patrol-using-trajectories-of-sharing-bikes-2110.15557"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-effect-of-stochasticity-in-policy-optimization-2110.15572</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-effect-of-stochasticity-in-policy-optimization-2110.15572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-effect-of-stochasticity-in-policy-optimization-2110.15572"/></url>
<url><loc>https://scifaro.com/en/abs/training-integrable-parameterizations-of-deep-neural-networks-in-the-infinite-width-limit-2110.15596</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-integrable-parameterizations-of-deep-neural-networks-in-the-infinite-width-limit-2110.15596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-integrable-parameterizations-of-deep-neural-networks-in-the-infinite-width-limit-2110.15596"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimal-experimental-design-for-simulator-models-of-cognition-2110.15632</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimal-experimental-design-for-simulator-models-of-cognition-2110.15632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimal-experimental-design-for-simulator-models-of-cognition-2110.15632"/></url>
<url><loc>https://scifaro.com/en/abs/frame-capture-based-csi-recomposition-pertaining-to-firmware-agnostic-wifi-sensing-2110.15660</loc><lastmod>2022-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frame-capture-based-csi-recomposition-pertaining-to-firmware-agnostic-wifi-sensing-2110.15660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frame-capture-based-csi-recomposition-pertaining-to-firmware-agnostic-wifi-sensing-2110.15660"/></url>
<url><loc>https://scifaro.com/en/abs/boosting-anomaly-detection-using-unsupervised-diverse-test-time-augmentation-2110.15700</loc><lastmod>2025-02-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boosting-anomaly-detection-using-unsupervised-diverse-test-time-augmentation-2110.15700"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boosting-anomaly-detection-using-unsupervised-diverse-test-time-augmentation-2110.15700"/></url>
<url><loc>https://scifaro.com/en/abs/successor-feature-representations-2110.15701</loc><lastmod>2023-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/successor-feature-representations-2110.15701"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/successor-feature-representations-2110.15701"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-inference-in-sdes-by-direct-matching-of-the-fokker-planck-kolmogorov-equation-2110.15739</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-inference-in-sdes-by-direct-matching-of-the-fokker-planck-kolmogorov-equation-2110.15739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-inference-in-sdes-by-direct-matching-of-the-fokker-planck-kolmogorov-equation-2110.15739"/></url>
<url><loc>https://scifaro.com/en/abs/barlow-graph-auto-encoder-for-unsupervised-network-embedding-2110.15742</loc><lastmod>2022-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/barlow-graph-auto-encoder-for-unsupervised-network-embedding-2110.15742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/barlow-graph-auto-encoder-for-unsupervised-network-embedding-2110.15742"/></url>
<url><loc>https://scifaro.com/en/abs/mixed-cooperative-competitive-communication-using-multi-agent-reinforcement-learning-2110.15762</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixed-cooperative-competitive-communication-using-multi-agent-reinforcement-learning-2110.15762"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixed-cooperative-competitive-communication-using-multi-agent-reinforcement-learning-2110.15762"/></url>
<url><loc>https://scifaro.com/en/abs/epsilon-weakened-robustness-of-deep-neural-networks-2110.15764</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/epsilon-weakened-robustness-of-deep-neural-networks-2110.15764"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/epsilon-weakened-robustness-of-deep-neural-networks-2110.15764"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-pure-exploration-in-kernel-bandit-2110.15771</loc><lastmod>2023-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-pure-exploration-in-kernel-bandit-2110.15771"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-pure-exploration-in-kernel-bandit-2110.15771"/></url>
<url><loc>https://scifaro.com/en/abs/gbk-gnn-gated-bi-kernel-graph-neural-networks-for-modeling-both-homophily-and-heterophily-2110.15777</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gbk-gnn-gated-bi-kernel-graph-neural-networks-for-modeling-both-homophily-and-heterophily-2110.15777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gbk-gnn-gated-bi-kernel-graph-neural-networks-for-modeling-both-homophily-and-heterophily-2110.15777"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-communicate-with-reinforcement-learning-for-an-adaptive-traffic-control-system-2110.15779</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-communicate-with-reinforcement-learning-for-an-adaptive-traffic-control-system-2110.15779"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-communicate-with-reinforcement-learning-for-an-adaptive-traffic-control-system-2110.15779"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-of-uncertainty-sampling-for-active-learning-2110.15784</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-of-uncertainty-sampling-for-active-learning-2110.15784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-of-uncertainty-sampling-for-active-learning-2110.15784"/></url>
<url><loc>https://scifaro.com/en/abs/properties-from-mechanisms-an-equivariance-perspective-on-identifiable-representation-learning-2110.15796</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/properties-from-mechanisms-an-equivariance-perspective-on-identifiable-representation-learning-2110.15796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/properties-from-mechanisms-an-equivariance-perspective-on-identifiable-representation-learning-2110.15796"/></url>
<url><loc>https://scifaro.com/en/abs/tractability-from-overparametrization-the-example-of-the-negative-perceptron-2110.15824</loc><lastmod>2025-03-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tractability-from-overparametrization-the-example-of-the-negative-perceptron-2110.15824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tractability-from-overparametrization-the-example-of-the-negative-perceptron-2110.15824"/></url>
<url><loc>https://scifaro.com/en/abs/holistic-deep-learning-2110.15829</loc><lastmod>2023-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/holistic-deep-learning-2110.15829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/holistic-deep-learning-2110.15829"/></url>
<url><loc>https://scifaro.com/en/abs/can-pinn-a-fast-physics-informed-neural-network-based-on-coupled-automatic-numerical-differentiation-method-2110.15832</loc><lastmod>2022-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-pinn-a-fast-physics-informed-neural-network-based-on-coupled-automatic-numerical-differentiation-method-2110.15832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-pinn-a-fast-physics-informed-neural-network-based-on-coupled-automatic-numerical-differentiation-method-2110.15832"/></url>
<url><loc>https://scifaro.com/en/abs/towards-comparative-physical-interpretation-of-spatial-variability-aware-neural-networks-a-summary-of-results-2110.15866</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-comparative-physical-interpretation-of-spatial-variability-aware-neural-networks-a-summary-of-results-2110.15866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-comparative-physical-interpretation-of-spatial-variability-aware-neural-networks-a-summary-of-results-2110.15866"/></url>
<url><loc>https://scifaro.com/en/abs/distributing-deep-learning-hyperparameter-tuning-for-3d-medical-image-segmentation-2110.15884</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributing-deep-learning-hyperparameter-tuning-for-3d-medical-image-segmentation-2110.15884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributing-deep-learning-hyperparameter-tuning-for-3d-medical-image-segmentation-2110.15884"/></url>
<url><loc>https://scifaro.com/en/abs/hyperparameter-tuning-is-all-you-need-for-lista-2110.15900</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperparameter-tuning-is-all-you-need-for-lista-2110.15900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperparameter-tuning-is-all-you-need-for-lista-2110.15900"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-prediction-strategies-for-unsupervised-segmentation-and-categorization-of-phonemes-and-words-2110.15909</loc><lastmod>2024-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-prediction-strategies-for-unsupervised-segmentation-and-categorization-of-phonemes-and-words-2110.15909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-prediction-strategies-for-unsupervised-segmentation-and-categorization-of-phonemes-and-words-2110.15909"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-linear-regression-is-competitive-with-two-machine-learning-methods-in-residential-building-mpc-2110.15911</loc><lastmod>2022-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-linear-regression-is-competitive-with-two-machine-learning-methods-in-residential-building-mpc-2110.15911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-linear-regression-is-competitive-with-two-machine-learning-methods-in-residential-building-mpc-2110.15911"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-quality-of-generative-models-through-smirnov-transformation-2110.15914</loc><lastmod>2023-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-quality-of-generative-models-through-smirnov-transformation-2110.15914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-quality-of-generative-models-through-smirnov-transformation-2110.15914"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-breath-based-biometric-authentication-with-wearable-multimodality-2110.15941</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-breath-based-biometric-authentication-with-wearable-multimodality-2110.15941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-breath-based-biometric-authentication-with-wearable-multimodality-2110.15941"/></url>
<url><loc>https://scifaro.com/en/abs/sparsely-changing-latent-states-for-prediction-and-planning-in-partially-observable-domains-2110.15949</loc><lastmod>2022-01-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparsely-changing-latent-states-for-prediction-and-planning-in-partially-observable-domains-2110.15949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparsely-changing-latent-states-for-prediction-and-planning-in-partially-observable-domains-2110.15949"/></url>
<url><loc>https://scifaro.com/en/abs/limiting-fluctuation-and-trajectorial-stability-of-multilayer-neural-networks-with-mean-field-training-2110.15954</loc><lastmod>2021-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/limiting-fluctuation-and-trajectorial-stability-of-multilayer-neural-networks-with-mean-field-training-2110.15954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/limiting-fluctuation-and-trajectorial-stability-of-multilayer-neural-networks-with-mean-field-training-2110.15954"/></url>
<url><loc>https://scifaro.com/en/abs/federated-semi-supervised-learning-with-class-distribution-mismatch-2111.00010</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-semi-supervised-learning-with-class-distribution-mismatch-2111.00010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-semi-supervised-learning-with-class-distribution-mismatch-2111.00010"/></url>
<url><loc>https://scifaro.com/en/abs/skyformer-remodel-self-attention-with-gaussian-kernel-and-nystr-om-method-2111.00035</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skyformer-remodel-self-attention-with-gaussian-kernel-and-nystr-om-method-2111.00035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skyformer-remodel-self-attention-with-gaussian-kernel-and-nystr-om-method-2111.00035"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-power-of-edge-independent-graph-models-2111.00048</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-power-of-edge-independent-graph-models-2111.00048"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-power-of-edge-independent-graph-models-2111.00048"/></url>
<url><loc>https://scifaro.com/en/abs/word-embeddings-for-topic-modeling-an-application-to-the-estimation-of-the-economic-policy-uncertainty-index-2111.00057</loc><lastmod>2022-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/word-embeddings-for-topic-modeling-an-application-to-the-estimation-of-the-economic-policy-uncertainty-index-2111.00057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/word-embeddings-for-topic-modeling-an-application-to-the-estimation-of-the-economic-policy-uncertainty-index-2111.00057"/></url>
<url><loc>https://scifaro.com/en/abs/improving-generalization-bounds-for-vc-classes-using-the-hypergeometric-tail-inversion-2111.00062</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-generalization-bounds-for-vc-classes-using-the-hypergeometric-tail-inversion-2111.00062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-generalization-bounds-for-vc-classes-using-the-hypergeometric-tail-inversion-2111.00062"/></url>
<url><loc>https://scifaro.com/en/abs/node-feature-extraction-by-self-supervised-multi-scale-neighborhood-prediction-2111.00064</loc><lastmod>2022-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-feature-extraction-by-self-supervised-multi-scale-neighborhood-prediction-2111.00064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-feature-extraction-by-self-supervised-multi-scale-neighborhood-prediction-2111.00064"/></url>
<url><loc>https://scifaro.com/en/abs/deep-inference-of-latent-dynamics-with-spatio-temporal-super-resolution-using-selective-backpropagation-through-time-2111.00070</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-inference-of-latent-dynamics-with-spatio-temporal-super-resolution-using-selective-backpropagation-through-time-2111.00070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-inference-of-latent-dynamics-with-spatio-temporal-super-resolution-using-selective-backpropagation-through-time-2111.00070"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-proximal-policy-optimization-with-sample-reuse-2111.00072</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-proximal-policy-optimization-with-sample-reuse-2111.00072"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-proximal-policy-optimization-with-sample-reuse-2111.00072"/></url>
<url><loc>https://scifaro.com/en/abs/a-scalable-automl-approach-based-on-graph-neural-networks-2111.00083</loc><lastmod>2022-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-scalable-automl-approach-based-on-graph-neural-networks-2111.00083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-scalable-automl-approach-based-on-graph-neural-networks-2111.00083"/></url>
<url><loc>https://scifaro.com/en/abs/online-optimization-with-feedback-delay-and-nonlinear-switching-cost-2111.00095</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-optimization-with-feedback-delay-and-nonlinear-switching-cost-2111.00095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-optimization-with-feedback-delay-and-nonlinear-switching-cost-2111.00095"/></url>
<url><loc>https://scifaro.com/en/abs/fc2t2-the-fast-continuous-convolutional-taylor-transform-with-applications-in-vision-and-graphics-2111.00110</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fc2t2-the-fast-continuous-convolutional-taylor-transform-with-applications-in-vision-and-graphics-2111.00110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fc2t2-the-fast-continuous-convolutional-taylor-transform-with-applications-in-vision-and-graphics-2111.00110"/></url>
<url><loc>https://scifaro.com/en/abs/combining-public-and-private-data-2111.00115</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-public-and-private-data-2111.00115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-public-and-private-data-2111.00115"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-atlantic-multidecadal-variability-2111.00124</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-atlantic-multidecadal-variability-2111.00124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-atlantic-multidecadal-variability-2111.00124"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-critical-biogeochemistry-of-the-southern-ocean-for-climate-monitoring-2111.00126</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-critical-biogeochemistry-of-the-southern-ocean-for-climate-monitoring-2111.00126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-critical-biogeochemistry-of-the-southern-ocean-for-climate-monitoring-2111.00126"/></url>
<url><loc>https://scifaro.com/en/abs/temporal-spatial-feature-extraction-based-on-convolutional-neural-networks-for-travel-time-prediction-2111.00149</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/temporal-spatial-feature-extraction-based-on-convolutional-neural-networks-for-travel-time-prediction-2111.00149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/temporal-spatial-feature-extraction-based-on-convolutional-neural-networks-for-travel-time-prediction-2111.00149"/></url>
<url><loc>https://scifaro.com/en/abs/rmsmp-a-novel-deep-neural-network-quantization-framework-with-row-wise-mixed-schemes-and-multiple-precisions-2111.00153</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rmsmp-a-novel-deep-neural-network-quantization-framework-with-row-wise-mixed-schemes-and-multiple-precisions-2111.00153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rmsmp-a-novel-deep-neural-network-quantization-framework-with-row-wise-mixed-schemes-and-multiple-precisions-2111.00153"/></url>
<url><loc>https://scifaro.com/en/abs/ilmpq-an-intra-layer-multi-precision-deep-neural-network-quantization-framework-for-fpga-2111.00155</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ilmpq-an-intra-layer-multi-precision-deep-neural-network-quantization-framework-for-fpga-2111.00155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ilmpq-an-intra-layer-multi-precision-deep-neural-network-quantization-framework-for-fpga-2111.00155"/></url>
<url><loc>https://scifaro.com/en/abs/dsee-dually-sparsity-embedded-efficient-tuning-of-pre-trained-language-models-2111.00160</loc><lastmod>2023-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dsee-dually-sparsity-embedded-efficient-tuning-of-pre-trained-language-models-2111.00160"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dsee-dually-sparsity-embedded-efficient-tuning-of-pre-trained-language-models-2111.00160"/></url>
<url><loc>https://scifaro.com/en/abs/you-are-caught-stealing-my-winning-lottery-ticket-making-a-lottery-ticket-claim-its-ownership-2111.00162</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/you-are-caught-stealing-my-winning-lottery-ticket-making-a-lottery-ticket-claim-its-ownership-2111.00162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/you-are-caught-stealing-my-winning-lottery-ticket-making-a-lottery-ticket-claim-its-ownership-2111.00162"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-differential-privacy-preserving-sgd-2111.00173</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-differential-privacy-preserving-sgd-2111.00173"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-differential-privacy-preserving-sgd-2111.00173"/></url>
<url><loc>https://scifaro.com/en/abs/on-quantitative-evaluations-of-counterfactuals-2111.00177</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-quantitative-evaluations-of-counterfactuals-2111.00177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-quantitative-evaluations-of-counterfactuals-2111.00177"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-and-optimality-of-policy-gradient-methods-in-weakly-smooth-settings-2111.00185</loc><lastmod>2022-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-and-optimality-of-policy-gradient-methods-in-weakly-smooth-settings-2111.00185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-and-optimality-of-policy-gradient-methods-in-weakly-smooth-settings-2111.00185"/></url>
<url><loc>https://scifaro.com/en/abs/personal-thermal-comfort-models-using-digital-twins-preference-prediction-with-bim-extracted-spatial-temporal-proximity-data-from-build2vec-2111.00199</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personal-thermal-comfort-models-using-digital-twins-preference-prediction-with-bim-extracted-spatial-temporal-proximity-data-from-build2vec-2111.00199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personal-thermal-comfort-models-using-digital-twins-preference-prediction-with-bim-extracted-spatial-temporal-proximity-data-from-build2vec-2111.00199"/></url>
<url><loc>https://scifaro.com/en/abs/one-step-at-a-time-pros-and-cons-of-multi-step-meta-gradient-reinforcement-learning-2111.00206</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-step-at-a-time-pros-and-cons-of-multi-step-meta-gradient-reinforcement-learning-2111.00206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-step-at-a-time-pros-and-cons-of-multi-step-meta-gradient-reinforcement-learning-2111.00206"/></url>
<url><loc>https://scifaro.com/en/abs/mastering-atari-games-with-limited-data-2111.00210</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mastering-atari-games-with-limited-data-2111.00210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mastering-atari-games-with-limited-data-2111.00210"/></url>
<url><loc>https://scifaro.com/en/abs/adjacency-constraint-for-efficient-hierarchical-reinforcement-learning-2111.00213</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adjacency-constraint-for-efficient-hierarchical-reinforcement-learning-2111.00213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adjacency-constraint-for-efficient-hierarchical-reinforcement-learning-2111.00213"/></url>
<url><loc>https://scifaro.com/en/abs/on-joint-learning-for-solving-placement-and-routing-in-chip-design-2111.00234</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-joint-learning-for-solving-placement-and-routing-in-chip-design-2111.00234"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-joint-learning-for-solving-placement-and-routing-in-chip-design-2111.00234"/></url>
<url><loc>https://scifaro.com/en/abs/the-cat-set-on-the-mat-cross-attention-for-set-matching-in-bipartite-hypergraphs-2111.00243</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-cat-set-on-the-mat-cross-attention-for-set-matching-in-bipartite-hypergraphs-2111.00243"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-cat-set-on-the-mat-cross-attention-for-set-matching-in-bipartite-hypergraphs-2111.00243"/></url>
<url><loc>https://scifaro.com/en/abs/equinox-neural-networks-in-jax-via-callable-pytrees-and-filtered-transformations-2111.00254</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equinox-neural-networks-in-jax-via-callable-pytrees-and-filtered-transformations-2111.00254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equinox-neural-networks-in-jax-via-callable-pytrees-and-filtered-transformations-2111.00254"/></url>
<url><loc>https://scifaro.com/en/abs/higher-order-relations-skew-link-prediction-in-graphs-2111.00271</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/higher-order-relations-skew-link-prediction-in-graphs-2111.00271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/higher-order-relations-skew-link-prediction-in-graphs-2111.00271"/></url>
<url><loc>https://scifaro.com/en/abs/intrusion-prevention-through-optimal-stopping-2111.00289</loc><lastmod>2024-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrusion-prevention-through-optimal-stopping-2111.00289"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrusion-prevention-through-optimal-stopping-2111.00289"/></url>
<url><loc>https://scifaro.com/en/abs/get-fooled-for-the-right-reason-improving-adversarial-robustness-through-a-teacher-guided-curriculum-learning-approach-2111.00295</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/get-fooled-for-the-right-reason-improving-adversarial-robustness-through-a-teacher-guided-curriculum-learning-approach-2111.00295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/get-fooled-for-the-right-reason-improving-adversarial-robustness-through-a-teacher-guided-curriculum-learning-approach-2111.00295"/></url>
<url><loc>https://scifaro.com/en/abs/throughput-and-latency-in-the-distributed-q-learning-random-access-mmtc-networks-2111.00299</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/throughput-and-latency-in-the-distributed-q-learning-random-access-mmtc-networks-2111.00299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/throughput-and-latency-in-the-distributed-q-learning-random-access-mmtc-networks-2111.00299"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-binary-symptom-checkers-via-approximate-message-passing-2111.00303</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-binary-symptom-checkers-via-approximate-message-passing-2111.00303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-binary-symptom-checkers-via-approximate-message-passing-2111.00303"/></url>
<url><loc>https://scifaro.com/en/abs/ecg-synthesis-with-neural-ode-and-gan-models-2111.00314</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ecg-synthesis-with-neural-ode-and-gan-models-2111.00314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ecg-synthesis-with-neural-ode-and-gan-models-2111.00314"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-based-on-automatic-differentiation-transformation-of-numeric-iterate-to-fixedpoint-2111.00326</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-based-on-automatic-differentiation-transformation-of-numeric-iterate-to-fixedpoint-2111.00326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-based-on-automatic-differentiation-transformation-of-numeric-iterate-to-fixedpoint-2111.00326"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-and-mitigating-bias-in-algorithms-used-to-manage-patients-in-a-pandemic-2111.00340</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-and-mitigating-bias-in-algorithms-used-to-manage-patients-in-a-pandemic-2111.00340"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-and-mitigating-bias-in-algorithms-used-to-manage-patients-in-a-pandemic-2111.00340"/></url>
<url><loc>https://scifaro.com/en/abs/causal-discovery-in-linear-structural-causal-models-with-deterministic-relations-2111.00341</loc><lastmod>2022-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-discovery-in-linear-structural-causal-models-with-deterministic-relations-2111.00341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-discovery-in-linear-structural-causal-models-with-deterministic-relations-2111.00341"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-convolutional-neural-networks-coupled-neural-pde-and-ode-2111.00343</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-convolutional-neural-networks-coupled-neural-pde-and-ode-2111.00343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-convolutional-neural-networks-coupled-neural-pde-and-ode-2111.00343"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-sparse-matrix-multiplications-for-graph-neural-networks-2111.00352</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-sparse-matrix-multiplications-for-graph-neural-networks-2111.00352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-sparse-matrix-multiplications-for-graph-neural-networks-2111.00352"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-the-robustness-of-feature-importance-and-counterfactual-explanations-2111.00358</loc><lastmod>2023-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-the-robustness-of-feature-importance-and-counterfactual-explanations-2111.00358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-the-robustness-of-feature-importance-and-counterfactual-explanations-2111.00358"/></url>
<url><loc>https://scifaro.com/en/abs/sustainable-ai-environmental-implications-challenges-and-opportunities-2111.00364</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sustainable-ai-environmental-implications-challenges-and-opportunities-2111.00364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sustainable-ai-environmental-implications-challenges-and-opportunities-2111.00364"/></url>
<url><loc>https://scifaro.com/en/abs/efficiently-modeling-long-sequences-with-structured-state-spaces-2111.00396</loc><lastmod>2022-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiently-modeling-long-sequences-with-structured-state-spaces-2111.00396"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiently-modeling-long-sequences-with-structured-state-spaces-2111.00396"/></url>
<url><loc>https://scifaro.com/en/abs/using-google-trends-as-a-proxy-for-occupant-behavior-to-predict-building-energy-consumption-2111.00426</loc><lastmod>2022-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-google-trends-as-a-proxy-for-occupant-behavior-to-predict-building-energy-consumption-2111.00426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-google-trends-as-a-proxy-for-occupant-behavior-to-predict-building-energy-consumption-2111.00426"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-passive-membership-inference-attack-in-federated-learning-2111.00430</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-passive-membership-inference-attack-in-federated-learning-2111.00430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-passive-membership-inference-attack-in-federated-learning-2111.00430"/></url>
<url><loc>https://scifaro.com/en/abs/an-actor-critic-method-for-simulation-based-optimization-2111.00435</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-actor-critic-method-for-simulation-based-optimization-2111.00435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-actor-critic-method-for-simulation-based-optimization-2111.00435"/></url>
<url><loc>https://scifaro.com/en/abs/dadaquant-doubly-adaptive-quantization-for-communication-efficient-federated-learning-2111.00465</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dadaquant-doubly-adaptive-quantization-for-communication-efficient-federated-learning-2111.00465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dadaquant-doubly-adaptive-quantization-for-communication-efficient-federated-learning-2111.00465"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-anytime-algorithms-for-calibration-with-isotonic-regression-under-strictly-convex-losses-2111.00468</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-anytime-algorithms-for-calibration-with-isotonic-regression-under-strictly-convex-losses-2111.00468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-anytime-algorithms-for-calibration-with-isotonic-regression-under-strictly-convex-losses-2111.00468"/></url>
<url><loc>https://scifaro.com/en/abs/automated-hyperparameter-optimization-challenge-at-cikm-2021-analyticcup-2111.00513</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-hyperparameter-optimization-challenge-at-cikm-2021-analyticcup-2111.00513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-hyperparameter-optimization-challenge-at-cikm-2021-analyticcup-2111.00513"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-fetal-compromise-during-labour-signal-processing-and-feature-engineering-of-the-cardiotocograph-2111.00517</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-fetal-compromise-during-labour-signal-processing-and-feature-engineering-of-the-cardiotocograph-2111.00517"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-fetal-compromise-during-labour-signal-processing-and-feature-engineering-of-the-cardiotocograph-2111.00517"/></url>
<url><loc>https://scifaro.com/en/abs/policy-optimization-for-constrained-mdps-with-provable-fast-global-convergence-2111.00552</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-optimization-for-constrained-mdps-with-provable-fast-global-convergence-2111.00552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-optimization-for-constrained-mdps-with-provable-fast-global-convergence-2111.00552"/></url>
<url><loc>https://scifaro.com/en/abs/revealing-and-protecting-labels-in-distributed-training-2111.00556</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revealing-and-protecting-labels-in-distributed-training-2111.00556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revealing-and-protecting-labels-in-distributed-training-2111.00556"/></url>
<url><loc>https://scifaro.com/en/abs/can-we-learn-gradients-by-hamiltonian-neural-networks-2111.00565</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-we-learn-gradients-by-hamiltonian-neural-networks-2111.00565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-we-learn-gradients-by-hamiltonian-neural-networks-2111.00565"/></url>
<url><loc>https://scifaro.com/en/abs/a-tensor-svd-based-classification-algorithm-applied-to-fmri-data-2111.00587</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-tensor-svd-based-classification-algorithm-applied-to-fmri-data-2111.00587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-tensor-svd-based-classification-algorithm-applied-to-fmri-data-2111.00587"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-learning-to-subphenotype-delirium-patients-from-electronic-health-records-2111.00592</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-learning-to-subphenotype-delirium-patients-from-electronic-health-records-2111.00592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-learning-to-subphenotype-delirium-patients-from-electronic-health-records-2111.00592"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-artificial-intelligence-for-smart-city-application-a-secure-and-trusted-platform-2111.00601</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-artificial-intelligence-for-smart-city-application-a-secure-and-trusted-platform-2111.00601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-artificial-intelligence-for-smart-city-application-a-secure-and-trusted-platform-2111.00601"/></url>
<url><loc>https://scifaro.com/en/abs/pie-pseudo-invertible-encoder-2111.00619</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pie-pseudo-invertible-encoder-2111.00619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pie-pseudo-invertible-encoder-2111.00619"/></url>
<url><loc>https://scifaro.com/en/abs/deep-recursive-embedding-for-high-dimensional-data-2111.00622</loc><lastmod>2022-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-recursive-embedding-for-high-dimensional-data-2111.00622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-recursive-embedding-for-high-dimensional-data-2111.00622"/></url>
<url><loc>https://scifaro.com/en/abs/intrusion-detection-using-spatial-temporal-features-based-on-riemannian-manifold-2111.00626</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrusion-detection-using-spatial-temporal-features-based-on-riemannian-manifold-2111.00626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrusion-detection-using-spatial-temporal-features-based-on-riemannian-manifold-2111.00626"/></url>
<url><loc>https://scifaro.com/en/abs/learning-safety-filters-for-unknown-discrete-time-linear-systems-2111.00631</loc><lastmod>2023-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-safety-filters-for-unknown-discrete-time-linear-systems-2111.00631"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-safety-filters-for-unknown-discrete-time-linear-systems-2111.00631"/></url>
<url><loc>https://scifaro.com/en/abs/settling-the-horizon-dependence-of-sample-complexity-in-reinforcement-learning-2111.00633</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/settling-the-horizon-dependence-of-sample-complexity-in-reinforcement-learning-2111.00633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/settling-the-horizon-dependence-of-sample-complexity-in-reinforcement-learning-2111.00633"/></url>
<url><loc>https://scifaro.com/en/abs/to-talk-or-to-work-delay-efficient-federated-learning-over-mobile-edge-devices-2111.00637</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-talk-or-to-work-delay-efficient-federated-learning-over-mobile-edge-devices-2111.00637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-talk-or-to-work-delay-efficient-federated-learning-over-mobile-edge-devices-2111.00637"/></url>
<url><loc>https://scifaro.com/en/abs/collage-seamless-integration-of-deep-learning-backends-with-automatic-placement-2111.00655</loc><lastmod>2022-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collage-seamless-integration-of-deep-learning-backends-with-automatic-placement-2111.00655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collage-seamless-integration-of-deep-learning-backends-with-automatic-placement-2111.00655"/></url>
<url><loc>https://scifaro.com/en/abs/rmna-a-neighbor-aggregation-based-knowledge-graph-representation-learning-model-using-rule-mining-2111.00658</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rmna-a-neighbor-aggregation-based-knowledge-graph-representation-learning-model-using-rule-mining-2111.00658"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rmna-a-neighbor-aggregation-based-knowledge-graph-representation-learning-model-using-rule-mining-2111.00658"/></url>
<url><loc>https://scifaro.com/en/abs/gnnear-accelerating-full-batch-training-of-graph-neural-networks-with-near-memory-processing-2111.00680</loc><lastmod>2022-08-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gnnear-accelerating-full-batch-training-of-graph-neural-networks-with-near-memory-processing-2111.00680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gnnear-accelerating-full-batch-training-of-graph-neural-networks-with-near-memory-processing-2111.00680"/></url>
<url><loc>https://scifaro.com/en/abs/graph-structural-attack-by-perturbing-spectral-distance-2111.00684</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-structural-attack-by-perturbing-spectral-distance-2111.00684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-structural-attack-by-perturbing-spectral-distance-2111.00684"/></url>
<url><loc>https://scifaro.com/en/abs/communication-compressed-adaptive-gradient-method-for-distributed-nonconvex-optimization-2111.00705</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-compressed-adaptive-gradient-method-for-distributed-nonconvex-optimization-2111.00705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-compressed-adaptive-gradient-method-for-distributed-nonconvex-optimization-2111.00705"/></url>
<url><loc>https://scifaro.com/en/abs/edge-level-explanations-for-graph-neural-networks-by-extending-explainability-methods-for-convolutional-neural-networks-2111.00722</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edge-level-explanations-for-graph-neural-networks-by-extending-explainability-methods-for-convolutional-neural-networks-2111.00722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edge-level-explanations-for-graph-neural-networks-by-extending-explainability-methods-for-convolutional-neural-networks-2111.00722"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-multi-receptive-field-spatial-temporal-graph-convolutional-network-for-traffic-forecasting-2111.00724</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-multi-receptive-field-spatial-temporal-graph-convolutional-network-for-traffic-forecasting-2111.00724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-multi-receptive-field-spatial-temporal-graph-convolutional-network-for-traffic-forecasting-2111.00724"/></url>
<url><loc>https://scifaro.com/en/abs/robust-deep-learning-from-crowds-with-belief-propagation-2111.00734</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-deep-learning-from-crowds-with-belief-propagation-2111.00734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-deep-learning-from-crowds-with-belief-propagation-2111.00734"/></url>
<url><loc>https://scifaro.com/en/abs/towards-the-generalization-of-contrastive-self-supervised-learning-2111.00743</loc><lastmod>2023-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-the-generalization-of-contrastive-self-supervised-learning-2111.00743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-the-generalization-of-contrastive-self-supervised-learning-2111.00743"/></url>
<url><loc>https://scifaro.com/en/abs/pseudo-spherical-contrastive-divergence-2111.00780</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pseudo-spherical-contrastive-divergence-2111.00780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pseudo-spherical-contrastive-divergence-2111.00780"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-cooperative-reinforcement-learning-with-hierarchical-information-structure-2111.00781</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-cooperative-reinforcement-learning-with-hierarchical-information-structure-2111.00781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-cooperative-reinforcement-learning-with-hierarchical-information-structure-2111.00781"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-quantification-of-confounding-bias-in-predictive-modelling-2111.00814</loc><lastmod>2025-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-quantification-of-confounding-bias-in-predictive-modelling-2111.00814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-quantification-of-confounding-bias-in-predictive-modelling-2111.00814"/></url>
<url><loc>https://scifaro.com/en/abs/how-i-learned-to-stop-worrying-and-love-retraining-2111.00843</loc><lastmod>2023-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-i-learned-to-stop-worrying-and-love-retraining-2111.00843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-i-learned-to-stop-worrying-and-love-retraining-2111.00843"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-deep-learning-optimizations-a-comprehensive-survey-2111.00856</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-deep-learning-optimizations-a-comprehensive-survey-2111.00856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-deep-learning-optimizations-a-comprehensive-survey-2111.00856"/></url>
<url><loc>https://scifaro.com/en/abs/statistical-consequences-of-dueling-bandits-2111.00870</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/statistical-consequences-of-dueling-bandits-2111.00870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/statistical-consequences-of-dueling-bandits-2111.00870"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-prediction-of-the-heave-motions-of-a-semi-submersible-by-a-deep-learning-problem-model-2111.00873</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-prediction-of-the-heave-motions-of-a-semi-submersible-by-a-deep-learning-problem-model-2111.00873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-prediction-of-the-heave-motions-of-a-semi-submersible-by-a-deep-learning-problem-model-2111.00873"/></url>
<url><loc>https://scifaro.com/en/abs/an-uncertainty-informed-framework-for-trustworthy-fault-diagnosis-in-safety-critical-applications-2111.00874</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-uncertainty-informed-framework-for-trustworthy-fault-diagnosis-in-safety-critical-applications-2111.00874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-uncertainty-informed-framework-for-trustworthy-fault-diagnosis-in-safety-critical-applications-2111.00874"/></url>
<url><loc>https://scifaro.com/en/abs/a-moment-matching-metric-for-latent-variable-generative-models-2111.00875</loc><lastmod>2023-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-moment-matching-metric-for-latent-variable-generative-models-2111.00875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-moment-matching-metric-for-latent-variable-generative-models-2111.00875"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-expressivity-of-markov-reward-2111.00876</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-expressivity-of-markov-reward-2111.00876"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-expressivity-of-markov-reward-2111.00876"/></url>
<url><loc>https://scifaro.com/en/abs/artificial-intelligence-in-the-low-level-realm-a-survey-2111.00881</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/artificial-intelligence-in-the-low-level-realm-a-survey-2111.00881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/artificial-intelligence-in-the-low-level-realm-a-survey-2111.00881"/></url>
<url><loc>https://scifaro.com/en/abs/intervention-efficient-algorithm-for-two-stage-causal-mdps-2111.00886</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intervention-efficient-algorithm-for-two-stage-causal-mdps-2111.00886"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intervention-efficient-algorithm-for-two-stage-causal-mdps-2111.00886"/></url>
<url><loc>https://scifaro.com/en/abs/availability-attacks-create-shortcuts-2111.00898</loc><lastmod>2022-06-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/availability-attacks-create-shortcuts-2111.00898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/availability-attacks-create-shortcuts-2111.00898"/></url>
<url><loc>https://scifaro.com/en/abs/click-based-student-performance-prediction-a-clustering-guided-meta-learning-approach-2111.00901</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/click-based-student-performance-prediction-a-clustering-guided-meta-learning-approach-2111.00901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/click-based-student-performance-prediction-a-clustering-guided-meta-learning-approach-2111.00901"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-theory-of-quantum-gravity-from-neural-networks-2111.00903</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-theory-of-quantum-gravity-from-neural-networks-2111.00903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-theory-of-quantum-gravity-from-neural-networks-2111.00903"/></url>
<url><loc>https://scifaro.com/en/abs/multi-attribute-balanced-sampling-for-disentangled-gan-controls-2111.00909</loc><lastmod>2022-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-attribute-balanced-sampling-for-disentangled-gan-controls-2111.00909"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-attribute-balanced-sampling-for-disentangled-gan-controls-2111.00909"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-modeling-powers-fast-multi-parameter-fitting-of-cars-spectra-2111.00917</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-modeling-powers-fast-multi-parameter-fitting-of-cars-spectra-2111.00917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-modeling-powers-fast-multi-parameter-fitting-of-cars-spectra-2111.00917"/></url>
<url><loc>https://scifaro.com/en/abs/combining-expert-knowledge-and-neural-networks-to-model-environmental-stresses-in-agriculture-2111.00918</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-expert-knowledge-and-neural-networks-to-model-environmental-stresses-in-agriculture-2111.00918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-expert-knowledge-and-neural-networks-to-model-environmental-stresses-in-agriculture-2111.00918"/></url>
<url><loc>https://scifaro.com/en/abs/bounds-all-around-training-energy-based-models-with-bidirectional-bounds-2111.00929</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bounds-all-around-training-energy-based-models-with-bidirectional-bounds-2111.00929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bounds-all-around-training-energy-based-models-with-bidirectional-bounds-2111.00929"/></url>
<url><loc>https://scifaro.com/en/abs/nested-multiple-instance-learning-with-attention-mechanisms-2111.00947</loc><lastmod>2022-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-multiple-instance-learning-with-attention-mechanisms-2111.00947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-multiple-instance-learning-with-attention-mechanisms-2111.00947"/></url>
<url><loc>https://scifaro.com/en/abs/gtfs2vec-learning-gtfs-embeddings-for-comparing-public-transport-offer-in-microregions-2111.00960</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gtfs2vec-learning-gtfs-embeddings-for-comparing-public-transport-offer-in-microregions-2111.00960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gtfs2vec-learning-gtfs-embeddings-for-comparing-public-transport-offer-in-microregions-2111.00960"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-aided-crop-yield-optimization-2111.00963</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-aided-crop-yield-optimization-2111.00963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-aided-crop-yield-optimization-2111.00963"/></url>
<url><loc>https://scifaro.com/en/abs/iflow-numerically-invertible-flows-for-efficient-lossless-compression-via-a-uniform-coder-2111.00965</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iflow-numerically-invertible-flows-for-efficient-lossless-compression-via-a-uniform-coder-2111.00965"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iflow-numerically-invertible-flows-for-efficient-lossless-compression-via-a-uniform-coder-2111.00965"/></url>
<url><loc>https://scifaro.com/en/abs/hex2vec-context-aware-embedding-h3-hexagons-with-openstreetmap-tags-2111.00970</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hex2vec-context-aware-embedding-h3-hexagons-with-openstreetmap-tags-2111.00970"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hex2vec-context-aware-embedding-h3-hexagons-with-openstreetmap-tags-2111.00970"/></url>
<url><loc>https://scifaro.com/en/abs/transductive-data-augmentation-with-relational-path-rule-mining-for-knowledge-graph-embedding-2111.00974</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transductive-data-augmentation-with-relational-path-rule-mining-for-knowledge-graph-embedding-2111.00974"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transductive-data-augmentation-with-relational-path-rule-mining-for-knowledge-graph-embedding-2111.00974"/></url>
<url><loc>https://scifaro.com/en/abs/mixture-proportion-estimation-and-pu-learning-a-modern-approach-2111.00980</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixture-proportion-estimation-and-pu-learning-a-modern-approach-2111.00980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixture-proportion-estimation-and-pu-learning-a-modern-approach-2111.00980"/></url>
<url><loc>https://scifaro.com/en/abs/partial-adaptive-submodular-maximization-2111.00986</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/partial-adaptive-submodular-maximization-2111.00986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/partial-adaptive-submodular-maximization-2111.00986"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-approach-to-bicycle-sharing-systems-station-location-planning-using-openstreetmap-data-2111.00990</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-approach-to-bicycle-sharing-systems-station-location-planning-using-openstreetmap-data-2111.00990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-approach-to-bicycle-sharing-systems-station-location-planning-using-openstreetmap-data-2111.00990"/></url>
<url><loc>https://scifaro.com/en/abs/pde-read-human-readable-partial-differential-equation-discovery-using-deep-learning-2111.00998</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pde-read-human-readable-partial-differential-equation-discovery-using-deep-learning-2111.00998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pde-read-human-readable-partial-differential-equation-discovery-using-deep-learning-2111.00998"/></url>
<url><loc>https://scifaro.com/en/abs/hyperpinn-learning-parameterized-differential-equations-with-physics-informed-hypernetworks-2111.01008</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperpinn-learning-parameterized-differential-equations-with-physics-informed-hypernetworks-2111.01008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperpinn-learning-parameterized-differential-equations-with-physics-informed-hypernetworks-2111.01008"/></url>
<url><loc>https://scifaro.com/en/abs/dropout-in-training-neural-networks-flatness-of-solution-and-noise-structure-2111.01022</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropout-in-training-neural-networks-flatness-of-solution-and-noise-structure-2111.01022"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropout-in-training-neural-networks-flatness-of-solution-and-noise-structure-2111.01022"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-assimilate-in-chaotic-dynamical-systems-2111.01058</loc><lastmod>2021-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-assimilate-in-chaotic-dynamical-systems-2111.01058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-assimilate-in-chaotic-dynamical-systems-2111.01058"/></url>
<url><loc>https://scifaro.com/en/abs/fedfm-towards-a-robust-federated-learning-approach-for-fault-mitigation-at-the-edge-nodes-2111.01074</loc><lastmod>2022-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedfm-towards-a-robust-federated-learning-approach-for-fault-mitigation-at-the-edge-nodes-2111.01074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedfm-towards-a-robust-federated-learning-approach-for-fault-mitigation-at-the-edge-nodes-2111.01074"/></url>
<url><loc>https://scifaro.com/en/abs/smartsplit-latency-energy-memory-optimisation-for-cnn-splitting-on-smartphone-environment-2111.01077</loc><lastmod>2022-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smartsplit-latency-energy-memory-optimisation-for-cnn-splitting-on-smartphone-environment-2111.01077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smartsplit-latency-energy-memory-optimisation-for-cnn-splitting-on-smartphone-environment-2111.01077"/></url>
<url><loc>https://scifaro.com/en/abs/zebra-precisely-destroying-neural-networks-with-zero-data-based-repeated-bit-flip-attack-2111.01080</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/zebra-precisely-destroying-neural-networks-with-zero-data-based-repeated-bit-flip-attack-2111.01080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/zebra-precisely-destroying-neural-networks-with-zero-data-based-repeated-bit-flip-attack-2111.01080"/></url>
<url><loc>https://scifaro.com/en/abs/resource-efficient-federated-learning-2111.01108</loc><lastmod>2022-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resource-efficient-federated-learning-2111.01108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resource-efficient-federated-learning-2111.01108"/></url>
<url><loc>https://scifaro.com/en/abs/arch-net-model-distillation-for-architecture-agnostic-model-deployment-2111.01135</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arch-net-model-distillation-for-architecture-agnostic-model-deployment-2111.01135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arch-net-model-distillation-for-architecture-agnostic-model-deployment-2111.01135"/></url>
<url><loc>https://scifaro.com/en/abs/dynamics-of-local-elasticity-during-training-of-neural-nets-2111.01166</loc><lastmod>2023-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamics-of-local-elasticity-during-training-of-neural-nets-2111.01166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamics-of-local-elasticity-during-training-of-neural-nets-2111.01166"/></url>
<url><loc>https://scifaro.com/en/abs/don-t-generate-me-training-differentially-private-generative-models-with-sinkhorn-divergence-2111.01177</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/don-t-generate-me-training-differentially-private-generative-models-with-sinkhorn-divergence-2111.01177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/don-t-generate-me-training-differentially-private-generative-models-with-sinkhorn-divergence-2111.01177"/></url>
<url><loc>https://scifaro.com/en/abs/combining-latent-space-and-structured-kernels-for-bayesian-optimization-over-combinatorial-spaces-2111.01186</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-latent-space-and-structured-kernels-for-bayesian-optimization-over-combinatorial-spaces-2111.01186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-latent-space-and-structured-kernels-for-bayesian-optimization-over-combinatorial-spaces-2111.01186"/></url>
<url><loc>https://scifaro.com/en/abs/unintended-selection-persistent-qualification-rate-disparities-and-interventions-2111.01201</loc><lastmod>2022-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unintended-selection-persistent-qualification-rate-disparities-and-interventions-2111.01201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unintended-selection-persistent-qualification-rate-disparities-and-interventions-2111.01201"/></url>
<url><loc>https://scifaro.com/en/abs/one-proxy-device-is-enough-for-hardware-aware-neural-architecture-search-2111.01203</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-proxy-device-is-enough-for-hardware-aware-neural-architecture-search-2111.01203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-proxy-device-is-enough-for-hardware-aware-neural-architecture-search-2111.01203"/></url>
<url><loc>https://scifaro.com/en/abs/sig-wasserstein-gans-for-time-series-generation-2111.01207</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sig-wasserstein-gans-for-time-series-generation-2111.01207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sig-wasserstein-gans-for-time-series-generation-2111.01207"/></url>
<url><loc>https://scifaro.com/en/abs/robust-federated-learning-via-over-the-air-computation-2111.01221</loc><lastmod>2022-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-federated-learning-via-over-the-air-computation-2111.01221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-federated-learning-via-over-the-air-computation-2111.01221"/></url>
<url><loc>https://scifaro.com/en/abs/kernel-deformed-exponential-families-for-sparse-continuous-attention-2111.01222</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kernel-deformed-exponential-families-for-sparse-continuous-attention-2111.01222"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kernel-deformed-exponential-families-for-sparse-continuous-attention-2111.01222"/></url>
<url><loc>https://scifaro.com/en/abs/low-cost-algorithmic-recourse-for-users-with-uncertain-cost-functions-2111.01235</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-cost-algorithmic-recourse-for-users-with-uncertain-cost-functions-2111.01235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-cost-algorithmic-recourse-for-users-with-uncertain-cost-functions-2111.01235"/></url>
<url><loc>https://scifaro.com/en/abs/reverse-engineering-recurrent-neural-networks-with-jacobian-switching-linear-dynamical-systems-2111.01256</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reverse-engineering-recurrent-neural-networks-with-jacobian-switching-linear-dynamical-systems-2111.01256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reverse-engineering-recurrent-neural-networks-with-jacobian-switching-linear-dynamical-systems-2111.01256"/></url>
<url><loc>https://scifaro.com/en/abs/human-level-control-without-server-grade-hardware-2111.01264</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-level-control-without-server-grade-hardware-2111.01264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-level-control-without-server-grade-hardware-2111.01264"/></url>
<url><loc>https://scifaro.com/en/abs/brain-dynamics-via-cumulative-auto-regressive-self-attention-2111.01271</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/brain-dynamics-via-cumulative-auto-regressive-self-attention-2111.01271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/brain-dynamics-via-cumulative-auto-regressive-self-attention-2111.01271"/></url>
<url><loc>https://scifaro.com/en/abs/multi-network-infomax-a-pre-training-method-involving-graph-convolutional-networks-2111.01276</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-network-infomax-a-pre-training-method-involving-graph-convolutional-networks-2111.01276"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-network-infomax-a-pre-training-method-involving-graph-convolutional-networks-2111.01276"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-operate-an-electric-vehicle-charging-station-considering-vehicle-grid-integration-2111.01294</loc><lastmod>2022-08-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-operate-an-electric-vehicle-charging-station-considering-vehicle-grid-integration-2111.01294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-operate-an-electric-vehicle-charging-station-considering-vehicle-grid-integration-2111.01294"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-as-nested-dynamical-systems-2111.01297</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-as-nested-dynamical-systems-2111.01297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-as-nested-dynamical-systems-2111.01297"/></url>
<url><loc>https://scifaro.com/en/abs/deepparticle-learning-invariant-measure-by-a-deep-neural-network-minimizing-wasserstein-distance-on-data-generated-from-an-interacting-particle-method-2111.01356</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepparticle-learning-invariant-measure-by-a-deep-neural-network-minimizing-wasserstein-distance-on-data-generated-from-an-interacting-particle-method-2111.01356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepparticle-learning-invariant-measure-by-a-deep-neural-network-minimizing-wasserstein-distance-on-data-generated-from-an-interacting-particle-method-2111.01356"/></url>
<url><loc>https://scifaro.com/en/abs/koopman-q-learning-offline-reinforcement-learning-via-symmetries-of-dynamics-2111.01365</loc><lastmod>2022-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/koopman-q-learning-offline-reinforcement-learning-via-symmetries-of-dynamics-2111.01365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/koopman-q-learning-offline-reinforcement-learning-via-symmetries-of-dynamics-2111.01365"/></url>
<url><loc>https://scifaro.com/en/abs/fedgraph-federated-graph-learning-with-intelligent-sampling-2111.01370</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedgraph-federated-graph-learning-with-intelligent-sampling-2111.01370"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedgraph-federated-graph-learning-with-intelligent-sampling-2111.01370"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-entropic-regularization-in-gans-2111.01387</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-entropic-regularization-in-gans-2111.01387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-entropic-regularization-in-gans-2111.01387"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-comparisons-in-deep-space-network-2111.01393</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-comparisons-in-deep-space-network-2111.01393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-comparisons-in-deep-space-network-2111.01393"/></url>
<url><loc>https://scifaro.com/en/abs/solving-partial-differential-equations-with-point-source-based-on-physics-informed-neural-networks-2111.01394</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-partial-differential-equations-with-point-source-based-on-physics-informed-neural-networks-2111.01394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-partial-differential-equations-with-point-source-based-on-physics-informed-neural-networks-2111.01394"/></url>
<url><loc>https://scifaro.com/en/abs/training-certifiably-robust-neural-networks-with-efficient-local-lipschitz-bounds-2111.01395</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-certifiably-robust-neural-networks-with-efficient-local-lipschitz-bounds-2111.01395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-certifiably-robust-neural-networks-with-efficient-local-lipschitz-bounds-2111.01395"/></url>
<url><loc>https://scifaro.com/en/abs/practical-and-light-weight-secure-aggregation-for-federated-submodel-learning-2111.01432</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-and-light-weight-secure-aggregation-for-federated-submodel-learning-2111.01432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-and-light-weight-secure-aggregation-for-federated-submodel-learning-2111.01432"/></url>
<url><loc>https://scifaro.com/en/abs/wavesense-efficient-temporal-convolutions-with-spiking-neural-networks-for-keyword-spotting-2111.01456</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wavesense-efficient-temporal-convolutions-with-spiking-neural-networks-for-keyword-spotting-2111.01456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wavesense-efficient-temporal-convolutions-with-spiking-neural-networks-for-keyword-spotting-2111.01456"/></url>
<url><loc>https://scifaro.com/en/abs/a-derivation-of-variational-message-passing-vmp-for-latent-dirichlet-allocation-lda-2111.01480</loc><lastmod>2022-08-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-derivation-of-variational-message-passing-vmp-for-latent-dirichlet-allocation-lda-2111.01480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-derivation-of-variational-message-passing-vmp-for-latent-dirichlet-allocation-lda-2111.01480"/></url>
<url><loc>https://scifaro.com/en/abs/dagsurv-directed-acyclic-graph-based-survival-analysis-using-deep-neural-networks-2111.01482</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dagsurv-directed-acyclic-graph-based-survival-analysis-using-deep-neural-networks-2111.01482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dagsurv-directed-acyclic-graph-based-survival-analysis-using-deep-neural-networks-2111.01482"/></url>
<url><loc>https://scifaro.com/en/abs/constructing-neural-network-based-models-for-simulating-dynamical-systems-2111.01495</loc><lastmod>2022-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constructing-neural-network-based-models-for-simulating-dynamical-systems-2111.01495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constructing-neural-network-based-models-for-simulating-dynamical-systems-2111.01495"/></url>
<url><loc>https://scifaro.com/en/abs/generating-synthetic-transactional-profiles-2111.01531</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-synthetic-transactional-profiles-2111.01531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-synthetic-transactional-profiles-2111.01531"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-in-incremental-few-shot-learning-by-finding-flat-minima-2111.01549</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-in-incremental-few-shot-learning-by-finding-flat-minima-2111.01549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-catastrophic-forgetting-in-incremental-few-shot-learning-by-finding-flat-minima-2111.01549"/></url>
<url><loc>https://scifaro.com/en/abs/likelihood-free-inference-in-state-space-models-with-unknown-dynamics-2111.01555</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/likelihood-free-inference-in-state-space-models-with-unknown-dynamics-2111.01555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/likelihood-free-inference-in-state-space-models-with-unknown-dynamics-2111.01555"/></url>
<url><loc>https://scifaro.com/en/abs/multiplexnet-towards-fully-satisfied-logical-constraints-in-neural-networks-2111.01564</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiplexnet-towards-fully-satisfied-logical-constraints-in-neural-networks-2111.01564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiplexnet-towards-fully-satisfied-logical-constraints-in-neural-networks-2111.01564"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-communication-efficient-federated-multi-armed-bandits-2111.01570</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-communication-efficient-federated-multi-armed-bandits-2111.01570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-communication-efficient-federated-multi-armed-bandits-2111.01570"/></url>
<url><loc>https://scifaro.com/en/abs/provably-efficient-succinct-and-precise-explanations-2111.01576</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-efficient-succinct-and-precise-explanations-2111.01576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-efficient-succinct-and-precise-explanations-2111.01576"/></url>
<url><loc>https://scifaro.com/en/abs/fitness-landscape-footprint-a-framework-to-compare-neural-architecture-search-problems-2111.01584</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fitness-landscape-footprint-a-framework-to-compare-neural-architecture-search-problems-2111.01584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fitness-landscape-footprint-a-framework-to-compare-neural-architecture-search-problems-2111.01584"/></url>
<url><loc>https://scifaro.com/en/abs/procedural-generalization-by-planning-with-self-supervised-world-models-2111.01587</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/procedural-generalization-by-planning-with-self-supervised-world-models-2111.01587"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/procedural-generalization-by-planning-with-self-supervised-world-models-2111.01587"/></url>
<url><loc>https://scifaro.com/en/abs/nonstochastic-bandits-and-experts-with-arm-dependent-delays-2111.01589</loc><lastmod>2021-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonstochastic-bandits-and-experts-with-arm-dependent-delays-2111.01589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonstochastic-bandits-and-experts-with-arm-dependent-delays-2111.01589"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-online-linear-regression-the-forward-algorithm-to-replace-ridge-2111.01602</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-online-linear-regression-the-forward-algorithm-to-replace-ridge-2111.01602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-online-linear-regression-the-forward-algorithm-to-replace-ridge-2111.01602"/></url>
<url><loc>https://scifaro.com/en/abs/elucidating-robust-learning-with-uncertainty-aware-corruption-pattern-estimation-2111.01632</loc><lastmod>2023-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/elucidating-robust-learning-with-uncertainty-aware-corruption-pattern-estimation-2111.01632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/elucidating-robust-learning-with-uncertainty-aware-corruption-pattern-estimation-2111.01632"/></url>
<url><loc>https://scifaro.com/en/abs/neural-program-generation-modulo-static-analysis-2111.01633</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-program-generation-modulo-static-analysis-2111.01633"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-program-generation-modulo-static-analysis-2111.01633"/></url>
<url><loc>https://scifaro.com/en/abs/characterizing-and-understanding-the-generalization-error-of-transfer-learning-with-gibbs-algorithm-2111.01635</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterizing-and-understanding-the-generalization-error-of-transfer-learning-with-gibbs-algorithm-2111.01635"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterizing-and-understanding-the-generalization-error-of-transfer-learning-with-gibbs-algorithm-2111.01635"/></url>
<url><loc>https://scifaro.com/en/abs/loglab-attention-based-labeling-of-log-data-anomalies-via-weak-supervision-2111.01657</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loglab-attention-based-labeling-of-log-data-anomalies-via-weak-supervision-2111.01657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loglab-attention-based-labeling-of-log-data-anomalies-via-weak-supervision-2111.01657"/></url>
<url><loc>https://scifaro.com/en/abs/osoa-one-shot-online-adaptation-of-deep-generative-models-for-lossless-compression-2111.01662</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/osoa-one-shot-online-adaptation-of-deep-generative-models-for-lossless-compression-2111.01662"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/osoa-one-shot-online-adaptation-of-deep-generative-models-for-lossless-compression-2111.01662"/></url>
<url><loc>https://scifaro.com/en/abs/low-rank-sparse-tensor-compression-for-neural-networks-2111.01697</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-rank-sparse-tensor-compression-for-neural-networks-2111.01697"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-rank-sparse-tensor-compression-for-neural-networks-2111.01697"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-the-search-distribution-of-black-box-random-search-based-adversarial-attacks-2111.01714</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-the-search-distribution-of-black-box-random-search-based-adversarial-attacks-2111.01714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-the-search-distribution-of-black-box-random-search-based-adversarial-attacks-2111.01714"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-location-of-bicycle-sharing-stations-using-openstreetmap-data-2111.01722</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-location-of-bicycle-sharing-stations-using-openstreetmap-data-2111.01722"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-location-of-bicycle-sharing-stations-using-openstreetmap-data-2111.01722"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-variational-gaussian-processes-2111.01732</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-variational-gaussian-processes-2111.01732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-variational-gaussian-processes-2111.01732"/></url>
<url><loc>https://scifaro.com/en/abs/logavgexp-provides-a-principled-and-performant-global-pooling-operator-2111.01742</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logavgexp-provides-a-principled-and-performant-global-pooling-operator-2111.01742"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logavgexp-provides-a-principled-and-performant-global-pooling-operator-2111.01742"/></url>
<url><loc>https://scifaro.com/en/abs/designing-inherently-interpretable-machine-learning-models-2111.01743</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/designing-inherently-interpretable-machine-learning-models-2111.01743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/designing-inherently-interpretable-machine-learning-models-2111.01743"/></url>
<url><loc>https://scifaro.com/en/abs/spiking-generative-adversarial-networks-with-a-neural-network-discriminator-local-training-bayesian-models-and-continual-meta-learning-2111.01750</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spiking-generative-adversarial-networks-with-a-neural-network-discriminator-local-training-bayesian-models-and-continual-meta-learning-2111.01750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spiking-generative-adversarial-networks-with-a-neural-network-discriminator-local-training-bayesian-models-and-continual-meta-learning-2111.01750"/></url>
<url><loc>https://scifaro.com/en/abs/meta-learning-to-improve-pre-training-2111.01754</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-learning-to-improve-pre-training-2111.01754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-learning-to-improve-pre-training-2111.01754"/></url>
<url><loc>https://scifaro.com/en/abs/modelling-covid-19-pandemic-dynamics-using-transparent-interpretable-parsimonious-and-simulatable-tips-machine-learning-models-a-case-study-from-systems-thinking-and-system-identification-perspectives-2111.01763</loc><lastmod>2021-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelling-covid-19-pandemic-dynamics-using-transparent-interpretable-parsimonious-and-simulatable-tips-machine-learning-models-a-case-study-from-systems-thinking-and-system-identification-perspectives-2111.01763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelling-covid-19-pandemic-dynamics-using-transparent-interpretable-parsimonious-and-simulatable-tips-machine-learning-models-a-case-study-from-systems-thinking-and-system-identification-perspectives-2111.01763"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-system-identification-of-6-dof-ship-motion-in-waves-with-neural-networks-2111.01773</loc><lastmod>2023-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-system-identification-of-6-dof-ship-motion-in-waves-with-neural-networks-2111.01773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-system-identification-of-6-dof-ship-motion-in-waves-with-neural-networks-2111.01773"/></url>
<url><loc>https://scifaro.com/en/abs/basis-matters-better-communication-efficient-second-order-methods-for-federated-learning-2111.01847</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/basis-matters-better-communication-efficient-second-order-methods-for-federated-learning-2111.01847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/basis-matters-better-communication-efficient-second-order-methods-for-federated-learning-2111.01847"/></url>
<url><loc>https://scifaro.com/en/abs/recursive-bayesian-networks-generalising-and-unifying-probabilistic-context-free-grammars-and-dynamic-bayesian-networks-2111.01853</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recursive-bayesian-networks-generalising-and-unifying-probabilistic-context-free-grammars-and-dynamic-bayesian-networks-2111.01853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recursive-bayesian-networks-generalising-and-unifying-probabilistic-context-free-grammars-and-dynamic-bayesian-networks-2111.01853"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-correction-for-deep-deterministic-policy-gradient-algorithms-via-batch-prioritized-experience-replay-2111.01865</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-correction-for-deep-deterministic-policy-gradient-algorithms-via-batch-prioritized-experience-replay-2111.01865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-correction-for-deep-deterministic-policy-gradient-algorithms-via-batch-prioritized-experience-replay-2111.01865"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-deep-learning-for-real-time-large-deformation-simulations-2111.01867</loc><lastmod>2022-07-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-deep-learning-for-real-time-large-deformation-simulations-2111.01867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-deep-learning-for-real-time-large-deformation-simulations-2111.01867"/></url>
<url><loc>https://scifaro.com/en/abs/from-strings-to-data-science-a-practical-framework-for-automated-string-handling-2111.01868</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-strings-to-data-science-a-practical-framework-for-automated-string-handling-2111.01868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-strings-to-data-science-a-practical-framework-for-automated-string-handling-2111.01868"/></url>
<url><loc>https://scifaro.com/en/abs/towards-fairness-aware-federated-learning-2111.01872</loc><lastmod>2023-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-fairness-aware-federated-learning-2111.01872"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-fairness-aware-federated-learning-2111.01872"/></url>
<url><loc>https://scifaro.com/en/abs/subquadratic-overparameterization-for-shallow-neural-networks-2111.01875</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subquadratic-overparameterization-for-shallow-neural-networks-2111.01875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subquadratic-overparameterization-for-shallow-neural-networks-2111.01875"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-supply-chain-links-with-augmented-intelligence-2111.01878</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-supply-chain-links-with-augmented-intelligence-2111.01878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-supply-chain-links-with-augmented-intelligence-2111.01878"/></url>
<url><loc>https://scifaro.com/en/abs/equivariant-deep-dynamical-model-for-motion-prediction-2111.01892</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivariant-deep-dynamical-model-for-motion-prediction-2111.01892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivariant-deep-dynamical-model-for-motion-prediction-2111.01892"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-cancer-using-supervised-machine-learning-mesothelioma-2111.01912</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-cancer-using-supervised-machine-learning-mesothelioma-2111.01912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-cancer-using-supervised-machine-learning-mesothelioma-2111.01912"/></url>
<url><loc>https://scifaro.com/en/abs/decision-support-models-for-predicting-and-explaining-airport-passenger-connectivity-from-data-2111.01915</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-support-models-for-predicting-and-explaining-airport-passenger-connectivity-from-data-2111.01915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-support-models-for-predicting-and-explaining-airport-passenger-connectivity-from-data-2111.01915"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-and-exploiting-sparse-rewards-in-a-learned-behavior-space-2111.01919</loc><lastmod>2023-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-and-exploiting-sparse-rewards-in-a-learned-behavior-space-2111.01919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-and-exploiting-sparse-rewards-in-a-learned-behavior-space-2111.01919"/></url>
<url><loc>https://scifaro.com/en/abs/learning-multiresolution-matrix-factorization-and-its-wavelet-networks-on-graphs-2111.01940</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-multiresolution-matrix-factorization-and-its-wavelet-networks-on-graphs-2111.01940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-multiresolution-matrix-factorization-and-its-wavelet-networks-on-graphs-2111.01940"/></url>
<url><loc>https://scifaro.com/en/abs/robust-dynamic-bus-control-a-distributional-multi-agent-reinforcement-learning-approach-2111.01946</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-dynamic-bus-control-a-distributional-multi-agent-reinforcement-learning-approach-2111.01946"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-dynamic-bus-control-a-distributional-multi-agent-reinforcement-learning-approach-2111.01946"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-identification-of-hemodynamics-in-coronary-arteries-in-the-presence-of-stenosis-2111.01950</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-identification-of-hemodynamics-in-coronary-arteries-in-the-presence-of-stenosis-2111.01950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-identification-of-hemodynamics-in-coronary-arteries-in-the-presence-of-stenosis-2111.01950"/></url>
<url><loc>https://scifaro.com/en/abs/one-pass-imagenet-2111.01956</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/one-pass-imagenet-2111.01956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/one-pass-imagenet-2111.01956"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-epistemic-model-uncertainty-in-supervised-learning-recent-advances-and-applications-2111.01968</loc><lastmod>2022-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-epistemic-model-uncertainty-in-supervised-learning-recent-advances-and-applications-2111.01968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-epistemic-model-uncertainty-in-supervised-learning-recent-advances-and-applications-2111.01968"/></url>
<url><loc>https://scifaro.com/en/abs/binary-classification-of-proteins-by-a-machine-learning-approach-2111.01975</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-classification-of-proteins-by-a-machine-learning-approach-2111.01975"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-classification-of-proteins-by-a-machine-learning-approach-2111.01975"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-method-for-binary-classification-of-proteins-with-machine-learning-2111.01976</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-method-for-binary-classification-of-proteins-with-machine-learning-2111.01976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-method-for-binary-classification-of-proteins-with-machine-learning-2111.01976"/></url>
<url><loc>https://scifaro.com/en/abs/pareto-adversarial-robustness-balancing-spatial-robustness-and-sensitivity-based-robustness-2111.01996</loc><lastmod>2024-06-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pareto-adversarial-robustness-balancing-spatial-robustness-and-sensitivity-based-robustness-2111.01996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pareto-adversarial-robustness-balancing-spatial-robustness-and-sensitivity-based-robustness-2111.01996"/></url>
<url><loc>https://scifaro.com/en/abs/oblique-and-rotation-double-random-forest-2111.02010</loc><lastmod>2022-08-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oblique-and-rotation-double-random-forest-2111.02010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oblique-and-rotation-double-random-forest-2111.02010"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-is-heterogeneous-phase-matters-more-2111.02014</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-is-heterogeneous-phase-matters-more-2111.02014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-is-heterogeneous-phase-matters-more-2111.02014"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-online-mdps-is-there-a-price-for-handling-the-communicating-case-2111.02024</loc><lastmod>2022-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-online-mdps-is-there-a-price-for-handling-the-communicating-case-2111.02024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-online-mdps-is-there-a-price-for-handling-the-communicating-case-2111.02024"/></url>
<url><loc>https://scifaro.com/en/abs/building-legal-datasets-2111.02034</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-legal-datasets-2111.02034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-legal-datasets-2111.02034"/></url>
<url><loc>https://scifaro.com/en/abs/curriculum-offline-imitation-learning-2111.02056</loc><lastmod>2022-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curriculum-offline-imitation-learning-2111.02056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curriculum-offline-imitation-learning-2111.02056"/></url>
<url><loc>https://scifaro.com/en/abs/linking-across-data-granularity-fitting-multivariate-hawkes-processes-to-partially-interval-censored-data-2111.02062</loc><lastmod>2024-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linking-across-data-granularity-fitting-multivariate-hawkes-processes-to-partially-interval-censored-data-2111.02062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linking-across-data-granularity-fitting-multivariate-hawkes-processes-to-partially-interval-censored-data-2111.02062"/></url>
<url><loc>https://scifaro.com/en/abs/the-impact-of-batch-learning-in-stochastic-bandits-2111.02071</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-impact-of-batch-learning-in-stochastic-bandits-2111.02071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-impact-of-batch-learning-in-stochastic-bandits-2111.02071"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-attention-networks-for-distilling-knowledge-graphs-in-recommendation-2111.02100</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-attention-networks-for-distilling-knowledge-graphs-in-recommendation-2111.02100"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-attention-networks-for-distilling-knowledge-graphs-in-recommendation-2111.02100"/></url>
<url><loc>https://scifaro.com/en/abs/model-based-episodic-memory-induces-dynamic-hybrid-controls-2111.02104</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-based-episodic-memory-induces-dynamic-hybrid-controls-2111.02104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-based-episodic-memory-induces-dynamic-hybrid-controls-2111.02104"/></url>
<url><loc>https://scifaro.com/en/abs/multistep-traffic-speed-prediction-a-deep-learning-based-approach-using-latent-space-mapping-considering-spatio-temporal-dependencies-2111.02115</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multistep-traffic-speed-prediction-a-deep-learning-based-approach-using-latent-space-mapping-considering-spatio-temporal-dependencies-2111.02115"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multistep-traffic-speed-prediction-a-deep-learning-based-approach-using-latent-space-mapping-considering-spatio-temporal-dependencies-2111.02115"/></url>
<url><loc>https://scifaro.com/en/abs/spatiotemporal-weather-data-predictions-with-shortcut-recurrent-convolutional-networks-a-solution-for-the-weather4cast-challenge-2111.02121</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatiotemporal-weather-data-predictions-with-shortcut-recurrent-convolutional-networks-a-solution-for-the-weather4cast-challenge-2111.02121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatiotemporal-weather-data-predictions-with-shortcut-recurrent-convolutional-networks-a-solution-for-the-weather4cast-challenge-2111.02121"/></url>
<url><loc>https://scifaro.com/en/abs/regularization-by-misclassification-in-relu-neural-networks-2111.02154</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/regularization-by-misclassification-in-relu-neural-networks-2111.02154"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/regularization-by-misclassification-in-relu-neural-networks-2111.02154"/></url>
<url><loc>https://scifaro.com/en/abs/a-johnson-lindenstrauss-framework-for-randomly-initialized-cnns-2111.02155</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-johnson-lindenstrauss-framework-for-randomly-initialized-cnns-2111.02155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-johnson-lindenstrauss-framework-for-randomly-initialized-cnns-2111.02155"/></url>
<url><loc>https://scifaro.com/en/abs/data-synthesis-for-testing-black-box-machine-learning-models-2111.02161</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-synthesis-for-testing-black-box-machine-learning-models-2111.02161"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-synthesis-for-testing-black-box-machine-learning-models-2111.02161"/></url>
<url><loc>https://scifaro.com/en/abs/data-structure-labels-unsupervised-heuristics-for-svm-hyperparameter-estimation-2111.02164</loc><lastmod>2024-02-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-structure-labels-unsupervised-heuristics-for-svm-hyperparameter-estimation-2111.02164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-structure-labels-unsupervised-heuristics-for-svm-hyperparameter-estimation-2111.02164"/></url>
<url><loc>https://scifaro.com/en/abs/the-klarna-product-page-dataset-web-element-nomination-with-graph-neural-networks-and-large-language-models-2111.02168</loc><lastmod>2024-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-klarna-product-page-dataset-web-element-nomination-with-graph-neural-networks-and-large-language-models-2111.02168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-klarna-product-page-dataset-web-element-nomination-with-graph-neural-networks-and-large-language-models-2111.02168"/></url>
<url><loc>https://scifaro.com/en/abs/power-flow-balancing-with-decentralized-graph-neural-networks-2111.02169</loc><lastmod>2022-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-flow-balancing-with-decentralized-graph-neural-networks-2111.02169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-flow-balancing-with-decentralized-graph-neural-networks-2111.02169"/></url>
<url><loc>https://scifaro.com/en/abs/proximal-policy-optimization-with-continuous-bounded-action-space-via-the-beta-distribution-2111.02202</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/proximal-policy-optimization-with-continuous-bounded-action-space-via-the-beta-distribution-2111.02202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/proximal-policy-optimization-with-continuous-bounded-action-space-via-the-beta-distribution-2111.02202"/></url>
<url><loc>https://scifaro.com/en/abs/deep-least-squares-alignment-for-unsupervised-domain-adaptation-2111.02207</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-least-squares-alignment-for-unsupervised-domain-adaptation-2111.02207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-least-squares-alignment-for-unsupervised-domain-adaptation-2111.02207"/></url>
<url><loc>https://scifaro.com/en/abs/brain-inspired-cognition-in-next-generation-racetrack-memories-2111.02246</loc><lastmod>2022-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/brain-inspired-cognition-in-next-generation-racetrack-memories-2111.02246"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/brain-inspired-cognition-in-next-generation-racetrack-memories-2111.02246"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-motif-kernel-networks-2111.02272</loc><lastmod>2023-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-motif-kernel-networks-2111.02272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-motif-kernel-networks-2111.02272"/></url>
<url><loc>https://scifaro.com/en/abs/causal-bald-deep-bayesian-active-learning-of-outcomes-to-infer-treatment-effects-from-observational-data-2111.02275</loc><lastmod>2022-02-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-bald-deep-bayesian-active-learning-of-outcomes-to-infer-treatment-effects-from-observational-data-2111.02275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-bald-deep-bayesian-active-learning-of-outcomes-to-infer-treatment-effects-from-observational-data-2111.02275"/></url>
<url><loc>https://scifaro.com/en/abs/mean-field-analysis-of-piecewise-linear-solutions-for-wide-relu-networks-2111.02278</loc><lastmod>2022-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-field-analysis-of-piecewise-linear-solutions-for-wide-relu-networks-2111.02278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-field-analysis-of-piecewise-linear-solutions-for-wide-relu-networks-2111.02278"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effectiveness-of-interpretable-feedforward-neural-network-2111.02303</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effectiveness-of-interpretable-feedforward-neural-network-2111.02303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effectiveness-of-interpretable-feedforward-neural-network-2111.02303"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-of-energy-consumption-for-navigation-of-electric-vehicles-2111.02314</loc><lastmod>2023-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-of-energy-consumption-for-navigation-of-electric-vehicles-2111.02314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-of-energy-consumption-for-navigation-of-electric-vehicles-2111.02314"/></url>
<url><loc>https://scifaro.com/en/abs/improving-model-compatibility-of-generative-adversarial-networks-by-boundary-calibration-2111.02316</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-model-compatibility-of-generative-adversarial-networks-by-boundary-calibration-2111.02316"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-model-compatibility-of-generative-adversarial-networks-by-boundary-calibration-2111.02316"/></url>
<url><loc>https://scifaro.com/en/abs/drop-swap-and-generate-a-self-supervised-approach-for-generating-neural-activity-2111.02338</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drop-swap-and-generate-a-self-supervised-approach-for-generating-neural-activity-2111.02338"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drop-swap-and-generate-a-self-supervised-approach-for-generating-neural-activity-2111.02338"/></url>
<url><loc>https://scifaro.com/en/abs/smooth-imitation-learning-via-smooth-costs-and-smooth-policies-2111.02354</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smooth-imitation-learning-via-smooth-costs-and-smooth-policies-2111.02354"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smooth-imitation-learning-via-smooth-costs-and-smooth-policies-2111.02354"/></url>
<url><loc>https://scifaro.com/en/abs/a-theoretical-analysis-on-independence-driven-importance-weighting-for-covariate-shift-generalization-2111.02355</loc><lastmod>2023-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-theoretical-analysis-on-independence-driven-importance-weighting-for-covariate-shift-generalization-2111.02355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-theoretical-analysis-on-independence-driven-importance-weighting-for-covariate-shift-generalization-2111.02355"/></url>
<url><loc>https://scifaro.com/en/abs/multivariate-feature-ranking-of-gene-expression-data-2111.02357</loc><lastmod>2022-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multivariate-feature-ranking-of-gene-expression-data-2111.02357"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multivariate-feature-ranking-of-gene-expression-data-2111.02357"/></url>
<url><loc>https://scifaro.com/en/abs/can-i-use-this-publicly-available-dataset-to-build-commercial-ai-software-a-case-study-on-publicly-available-image-datasets-2111.02374</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-i-use-this-publicly-available-dataset-to-build-commercial-ai-software-a-case-study-on-publicly-available-image-datasets-2111.02374"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-i-use-this-publicly-available-dataset-to-build-commercial-ai-software-a-case-study-on-publicly-available-image-datasets-2111.02374"/></url>
<url><loc>https://scifaro.com/en/abs/virus-mnist-machine-learning-baseline-calculations-for-image-classification-2111.02375</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/virus-mnist-machine-learning-baseline-calculations-for-image-classification-2111.02375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/virus-mnist-machine-learning-baseline-calculations-for-image-classification-2111.02375"/></url>
<url><loc>https://scifaro.com/en/abs/intrusion-detection-machine-learning-baseline-calculations-for-image-classification-2111.02378</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrusion-detection-machine-learning-baseline-calculations-for-image-classification-2111.02378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrusion-detection-machine-learning-baseline-calculations-for-image-classification-2111.02378"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-machine-learning-algorithms-for-detecting-malware-in-iot-firmware-2111.02388</loc><lastmod>2021-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-machine-learning-algorithms-for-detecting-malware-in-iot-firmware-2111.02388"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-machine-learning-algorithms-for-detecting-malware-in-iot-firmware-2111.02388"/></url>
<url><loc>https://scifaro.com/en/abs/learning-pruned-structure-and-weights-simultaneously-from-scratch-an-attention-based-approach-2111.02399</loc><lastmod>2022-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-pruned-structure-and-weights-simultaneously-from-scratch-an-attention-based-approach-2111.02399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-pruned-structure-and-weights-simultaneously-from-scratch-an-attention-based-approach-2111.02399"/></url>
<url><loc>https://scifaro.com/en/abs/deep-auc-maximization-for-medical-image-classification-challenges-and-opportunities-2111.02400</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-auc-maximization-for-medical-image-classification-challenges-and-opportunities-2111.02400"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-auc-maximization-for-medical-image-classification-challenges-and-opportunities-2111.02400"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-embedding-and-similarity-detection-of-microregions-using-public-transport-schedules-2111.02405</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-embedding-and-similarity-detection-of-microregions-using-public-transport-schedules-2111.02405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-embedding-and-similarity-detection-of-microregions-using-public-transport-schedules-2111.02405"/></url>
<url><loc>https://scifaro.com/en/abs/hamiltonian-dynamics-with-non-newtonian-momentum-for-rapid-sampling-2111.02434</loc><lastmod>2022-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hamiltonian-dynamics-with-non-newtonian-momentum-for-rapid-sampling-2111.02434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hamiltonian-dynamics-with-non-newtonian-momentum-for-rapid-sampling-2111.02434"/></url>
<url><loc>https://scifaro.com/en/abs/communication-efficient-separable-neural-network-for-distributed-inference-on-edge-devices-2111.02489</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-efficient-separable-neural-network-for-distributed-inference-on-edge-devices-2111.02489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-efficient-separable-neural-network-for-distributed-inference-on-edge-devices-2111.02489"/></url>
<url><loc>https://scifaro.com/en/abs/alphad3m-machine-learning-pipeline-synthesis-2111.02508</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alphad3m-machine-learning-pipeline-synthesis-2111.02508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alphad3m-machine-learning-pipeline-synthesis-2111.02508"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-tree-based-regression-over-multiple-linear-regression-for-non-normally-distributed-data-in-battery-performance-2111.02513</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-tree-based-regression-over-multiple-linear-regression-for-non-normally-distributed-data-in-battery-performance-2111.02513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-tree-based-regression-over-multiple-linear-regression-for-non-normally-distributed-data-in-battery-performance-2111.02513"/></url>
<url><loc>https://scifaro.com/en/abs/shift-happens-adjusting-classifiers-2111.02529</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shift-happens-adjusting-classifiers-2111.02529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shift-happens-adjusting-classifiers-2111.02529"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-of-order-consistent-causal-graphs-2111.02545</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-of-order-consistent-causal-graphs-2111.02545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-of-order-consistent-causal-graphs-2111.02545"/></url>
<url><loc>https://scifaro.com/en/abs/is-bang-bang-control-all-you-need-solving-continuous-control-with-bernoulli-policies-2111.02552</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-bang-bang-control-all-you-need-solving-continuous-control-with-bernoulli-policies-2111.02552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-bang-bang-control-all-you-need-solving-continuous-control-with-bernoulli-policies-2111.02552"/></url>
<url><loc>https://scifaro.com/en/abs/a-meta-learned-neuron-model-for-continual-learning-2111.02557</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-meta-learned-neuron-model-for-continual-learning-2111.02557"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-meta-learned-neuron-model-for-continual-learning-2111.02557"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-wireless-transmitter-authorization-adapting-to-dynamic-authorized-sets-with-information-retrieval-2111.02584</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-wireless-transmitter-authorization-adapting-to-dynamic-authorized-sets-with-information-retrieval-2111.02584"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-wireless-transmitter-authorization-adapting-to-dynamic-authorized-sets-with-information-retrieval-2111.02584"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-time-irreversibility-with-order-contrastive-pre-training-2111.02599</loc><lastmod>2022-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-time-irreversibility-with-order-contrastive-pre-training-2111.02599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-time-irreversibility-with-order-contrastive-pre-training-2111.02599"/></url>
<url><loc>https://scifaro.com/en/abs/qimera-data-free-quantization-with-synthetic-boundary-supporting-samples-2111.02625</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/qimera-data-free-quantization-with-synthetic-boundary-supporting-samples-2111.02625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/qimera-data-free-quantization-with-synthetic-boundary-supporting-samples-2111.02625"/></url>
<url><loc>https://scifaro.com/en/abs/a-personalized-federated-learning-algorithm-an-application-in-anomaly-detection-2111.02627</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-personalized-federated-learning-algorithm-an-application-in-anomaly-detection-2111.02627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-personalized-federated-learning-algorithm-an-application-in-anomaly-detection-2111.02627"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-parallel-tensor-decomposition-with-optimal-stochastic-gradient-descent-an-application-in-structural-damage-identification-2111.02632</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-parallel-tensor-decomposition-with-optimal-stochastic-gradient-descent-an-application-in-structural-damage-identification-2111.02632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-parallel-tensor-decomposition-with-optimal-stochastic-gradient-descent-an-application-in-structural-damage-identification-2111.02632"/></url>
<url><loc>https://scifaro.com/en/abs/a-concentration-bound-for-lspe-lambda-2111.02644</loc><lastmod>2022-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-concentration-bound-for-lspe-lambda-2111.02644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-concentration-bound-for-lspe-lambda-2111.02644"/></url>
<url><loc>https://scifaro.com/en/abs/recurrent-neural-network-training-with-convex-loss-and-regularization-functions-by-extended-kalman-filtering-2111.02673</loc><lastmod>2022-11-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recurrent-neural-network-training-with-convex-loss-and-regularization-functions-by-extended-kalman-filtering-2111.02673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recurrent-neural-network-training-with-convex-loss-and-regularization-functions-by-extended-kalman-filtering-2111.02673"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-multimodal-automl-for-tabular-data-with-text-fields-2111.02705</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-multimodal-automl-for-tabular-data-with-text-fields-2111.02705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-multimodal-automl-for-tabular-data-with-text-fields-2111.02705"/></url>
<url><loc>https://scifaro.com/en/abs/when-neural-networks-using-different-sensors-create-similar-features-2111.02732</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-neural-networks-using-different-sensors-create-similar-features-2111.02732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-neural-networks-using-different-sensors-create-similar-features-2111.02732"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-methods-for-daily-wildfire-danger-forecasting-2111.02736</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-methods-for-daily-wildfire-danger-forecasting-2111.02736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-methods-for-daily-wildfire-danger-forecasting-2111.02736"/></url>
<url><loc>https://scifaro.com/en/abs/label-ranking-through-nonparametric-regression-2111.02749</loc><lastmod>2022-02-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-ranking-through-nonparametric-regression-2111.02749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-ranking-through-nonparametric-regression-2111.02749"/></url>
<url><loc>https://scifaro.com/en/abs/rlds-an-ecosystem-to-generate-share-and-use-datasets-in-reinforcement-learning-2111.02767</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rlds-an-ecosystem-to-generate-share-and-use-datasets-in-reinforcement-learning-2111.02767"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rlds-an-ecosystem-to-generate-share-and-use-datasets-in-reinforcement-learning-2111.02767"/></url>
<url><loc>https://scifaro.com/en/abs/representation-edit-distance-as-a-measure-of-novelty-2111.02770</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/representation-edit-distance-as-a-measure-of-novelty-2111.02770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/representation-edit-distance-as-a-measure-of-novelty-2111.02770"/></url>
<url><loc>https://scifaro.com/en/abs/flood-forecasting-with-machine-learning-models-in-an-operational-framework-2111.02780</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flood-forecasting-with-machine-learning-models-in-an-operational-framework-2111.02780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flood-forecasting-with-machine-learning-models-in-an-operational-framework-2111.02780"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-application-of-data-driven-deep-neural-networks-in-linear-and-nonlinear-structural-dynamics-2111.02784</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-application-of-data-driven-deep-neural-networks-in-linear-and-nonlinear-structural-dynamics-2111.02784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-application-of-data-driven-deep-neural-networks-in-linear-and-nonlinear-structural-dynamics-2111.02784"/></url>
<url><loc>https://scifaro.com/en/abs/balanced-q-learning-combining-the-influence-of-optimistic-and-pessimistic-targets-2111.02787</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balanced-q-learning-combining-the-influence-of-optimistic-and-pessimistic-targets-2111.02787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balanced-q-learning-combining-the-influence-of-optimistic-and-pessimistic-targets-2111.02787"/></url>
<url><loc>https://scifaro.com/en/abs/lassobench-a-high-dimensional-hyperparameter-optimization-benchmark-suite-for-lasso-2111.02790</loc><lastmod>2022-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lassobench-a-high-dimensional-hyperparameter-optimization-benchmark-suite-for-lasso-2111.02790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lassobench-a-high-dimensional-hyperparameter-optimization-benchmark-suite-for-lasso-2111.02790"/></url>
<url><loc>https://scifaro.com/en/abs/a-cyber-threat-intelligence-sharing-scheme-based-on-federated-learning-for-network-intrusion-detection-2111.02791</loc><lastmod>2023-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-cyber-threat-intelligence-sharing-scheme-based-on-federated-learning-for-network-intrusion-detection-2111.02791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-cyber-threat-intelligence-sharing-scheme-based-on-federated-learning-for-network-intrusion-detection-2111.02791"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-enhanced-physics-informed-neural-networks-for-forward-and-inverse-pde-problems-2111.02801</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-enhanced-physics-informed-neural-networks-for-forward-and-inverse-pde-problems-2111.02801"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-enhanced-physics-informed-neural-networks-for-forward-and-inverse-pde-problems-2111.02801"/></url>
<url><loc>https://scifaro.com/en/abs/on-similarity-2111.02803</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-similarity-2111.02803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-similarity-2111.02803"/></url>
<url><loc>https://scifaro.com/en/abs/wavefake-a-data-set-to-facilitate-audio-deepfake-detection-2111.02813</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wavefake-a-data-set-to-facilitate-audio-deepfake-detection-2111.02813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wavefake-a-data-set-to-facilitate-audio-deepfake-detection-2111.02813"/></url>
<url><loc>https://scifaro.com/en/abs/convolutional-generative-adversarial-imputation-networks-for-spatio-temporal-missing-data-in-storm-surge-simulations-2111.02823</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convolutional-generative-adversarial-imputation-networks-for-spatio-temporal-missing-data-in-storm-surge-simulations-2111.02823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convolutional-generative-adversarial-imputation-networks-for-spatio-temporal-missing-data-in-storm-surge-simulations-2111.02823"/></url>
<url><loc>https://scifaro.com/en/abs/attacking-deep-reinforcement-learning-based-traffic-signal-control-systems-with-colluding-vehicles-2111.02845</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attacking-deep-reinforcement-learning-based-traffic-signal-control-systems-with-colluding-vehicles-2111.02845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attacking-deep-reinforcement-learning-based-traffic-signal-control-systems-with-colluding-vehicles-2111.02845"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-market-segmentation-in-hospitality-using-unsupervised-machine-learning-2111.02848</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-market-segmentation-in-hospitality-using-unsupervised-machine-learning-2111.02848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-market-segmentation-in-hospitality-using-unsupervised-machine-learning-2111.02848"/></url>
<url><loc>https://scifaro.com/en/abs/parameterized-knowledge-transfer-for-personalized-federated-learning-2111.02862</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameterized-knowledge-transfer-for-personalized-federated-learning-2111.02862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameterized-knowledge-transfer-for-personalized-federated-learning-2111.02862"/></url>
<url><loc>https://scifaro.com/en/abs/testing-using-privileged-information-by-adapting-features-with-statistical-dependence-2111.02865</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testing-using-privileged-information-by-adapting-features-with-statistical-dependence-2111.02865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testing-using-privileged-information-by-adapting-features-with-statistical-dependence-2111.02865"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-risk-sensitive-reinforcement-learning-2111.02907</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-risk-sensitive-reinforcement-learning-2111.02907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-risk-sensitive-reinforcement-learning-2111.02907"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-view-of-relational-deep-learning-for-drug-pair-scoring-2111.02916</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-view-of-relational-deep-learning-for-drug-pair-scoring-2111.02916"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-view-of-relational-deep-learning-for-drug-pair-scoring-2111.02916"/></url>
<url><loc>https://scifaro.com/en/abs/reconstructing-nonlinear-dynamical-systems-from-multi-modal-time-series-2111.02922</loc><lastmod>2022-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconstructing-nonlinear-dynamical-systems-from-multi-modal-time-series-2111.02922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconstructing-nonlinear-dynamical-systems-from-multi-modal-time-series-2111.02922"/></url>
<url><loc>https://scifaro.com/en/abs/openfwi-large-scale-multi-structural-benchmark-datasets-for-seismic-full-waveform-inversion-2111.02926</loc><lastmod>2023-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/openfwi-large-scale-multi-structural-benchmark-datasets-for-seismic-full-waveform-inversion-2111.02926"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/openfwi-large-scale-multi-structural-benchmark-datasets-for-seismic-full-waveform-inversion-2111.02926"/></url>
<url><loc>https://scifaro.com/en/abs/variational-inference-with-holder-bounds-2111.02947</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-inference-with-holder-bounds-2111.02947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-inference-with-holder-bounds-2111.02947"/></url>
<url><loc>https://scifaro.com/en/abs/finite-time-consensus-learning-for-decentralized-optimization-with-nonlinear-gossiping-2111.02949</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-time-consensus-learning-for-decentralized-optimization-with-nonlinear-gossiping-2111.02949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-time-consensus-learning-for-decentralized-optimization-with-nonlinear-gossiping-2111.02949"/></url>
<url><loc>https://scifaro.com/en/abs/consistent-estimation-for-pca-and-sparse-regression-with-oblivious-outliers-2111.02966</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/consistent-estimation-for-pca-and-sparse-regression-with-oblivious-outliers-2111.02966"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/consistent-estimation-for-pca-and-sparse-regression-with-oblivious-outliers-2111.02966"/></url>
<url><loc>https://scifaro.com/en/abs/numerical-approximation-in-cfd-problems-using-physics-informed-machine-learning-2111.02987</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/numerical-approximation-in-cfd-problems-using-physics-informed-machine-learning-2111.02987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/numerical-approximation-in-cfd-problems-using-physics-informed-machine-learning-2111.02987"/></url>
<url><loc>https://scifaro.com/en/abs/towards-an-understanding-of-default-policies-in-multitask-policy-optimization-2111.02994</loc><lastmod>2022-03-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-an-understanding-of-default-policies-in-multitask-policy-optimization-2111.02994"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-an-understanding-of-default-policies-in-multitask-policy-optimization-2111.02994"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-change-detection-of-extreme-events-using-ml-on-board-2111.02995</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-change-detection-of-extreme-events-using-ml-on-board-2111.02995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-change-detection-of-extreme-events-using-ml-on-board-2111.02995"/></url>
<url><loc>https://scifaro.com/en/abs/global-optimality-and-finite-sample-analysis-of-softmax-off-policy-actor-critic-under-state-distribution-mismatch-2111.02997</loc><lastmod>2025-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-optimality-and-finite-sample-analysis-of-softmax-off-policy-actor-critic-under-state-distribution-mismatch-2111.02997"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-optimality-and-finite-sample-analysis-of-softmax-off-policy-actor-critic-under-state-distribution-mismatch-2111.02997"/></url>
<url><loc>https://scifaro.com/en/abs/scanflow-a-multi-graph-framework-for-machine-learning-workflow-management-supervision-and-debugging-2111.03003</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scanflow-a-multi-graph-framework-for-machine-learning-workflow-management-supervision-and-debugging-2111.03003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scanflow-a-multi-graph-framework-for-machine-learning-workflow-management-supervision-and-debugging-2111.03003"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-techniques-for-machine-learning-fairness-a-survey-2111.03015</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-techniques-for-machine-learning-fairness-a-survey-2111.03015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-techniques-for-machine-learning-fairness-a-survey-2111.03015"/></url>
<url><loc>https://scifaro.com/en/abs/b-pref-benchmarking-preference-based-reinforcement-learning-2111.03026</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/b-pref-benchmarking-preference-based-reinforcement-learning-2111.03026"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/b-pref-benchmarking-preference-based-reinforcement-learning-2111.03026"/></url>
<url><loc>https://scifaro.com/en/abs/exact-representation-of-sparse-networks-with-symmetric-nonnegative-embeddings-2111.03030</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exact-representation-of-sparse-networks-with-symmetric-nonnegative-embeddings-2111.03030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exact-representation-of-sparse-networks-with-symmetric-nonnegative-embeddings-2111.03030"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-approach-to-coreset-learning-2111.03044</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-approach-to-coreset-learning-2111.03044"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-approach-to-coreset-learning-2111.03044"/></url>
<url><loc>https://scifaro.com/en/abs/introduction-to-coresets-approximated-mean-2111.03046</loc><lastmod>2021-11-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/introduction-to-coresets-approximated-mean-2111.03046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/introduction-to-coresets-approximated-mean-2111.03046"/></url>
<url><loc>https://scifaro.com/en/abs/physics-guided-generative-adversarial-networks-for-sea-subsurface-temperature-prediction-2111.03064</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-guided-generative-adversarial-networks-for-sea-subsurface-temperature-prediction-2111.03064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-guided-generative-adversarial-networks-for-sea-subsurface-temperature-prediction-2111.03064"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-machine-learning-to-sleep-stage-classification-2111.03085</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-machine-learning-to-sleep-stage-classification-2111.03085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-machine-learning-to-sleep-stage-classification-2111.03085"/></url>
<url><loc>https://scifaro.com/en/abs/successor-feature-neural-episodic-control-2111.03110</loc><lastmod>2023-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/successor-feature-neural-episodic-control-2111.03110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/successor-feature-neural-episodic-control-2111.03110"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-on-knowledge-graph-embeddings-via-instance-attribution-methods-2111.03120</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-on-knowledge-graph-embeddings-via-instance-attribution-methods-2111.03120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-on-knowledge-graph-embeddings-via-instance-attribution-methods-2111.03120"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-network-for-probabilistic-forecast-of-random-dynamical-system-2111.03126</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-network-for-probabilistic-forecast-of-random-dynamical-system-2111.03126"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-network-for-probabilistic-forecast-of-random-dynamical-system-2111.03126"/></url>
<url><loc>https://scifaro.com/en/abs/scaffolding-sets-2111.03135</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaffolding-sets-2111.03135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaffolding-sets-2111.03135"/></url>
<url><loc>https://scifaro.com/en/abs/amortized-variational-inference-for-simple-hierarchical-models-2111.03144</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amortized-variational-inference-for-simple-hierarchical-models-2111.03144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amortized-variational-inference-for-simple-hierarchical-models-2111.03144"/></url>
<url><loc>https://scifaro.com/en/abs/generating-diverse-realistic-laughter-for-interactive-art-2111.03146</loc><lastmod>2022-08-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-diverse-realistic-laughter-for-interactive-art-2111.03146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-diverse-realistic-laughter-for-interactive-art-2111.03146"/></url>
<url><loc>https://scifaro.com/en/abs/gran-gan-piecewise-gradient-normalization-for-generative-adversarial-networks-2111.03162</loc><lastmod>2022-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gran-gan-piecewise-gradient-normalization-for-generative-adversarial-networks-2111.03162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gran-gan-piecewise-gradient-normalization-for-generative-adversarial-networks-2111.03162"/></url>
<url><loc>https://scifaro.com/en/abs/infinite-time-horizon-safety-of-bayesian-neural-networks-2111.03165</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/infinite-time-horizon-safety-of-bayesian-neural-networks-2111.03165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/infinite-time-horizon-safety-of-bayesian-neural-networks-2111.03165"/></url>
<url><loc>https://scifaro.com/en/abs/exclus-explainable-clustering-on-low-dimensional-data-representations-2111.03168</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exclus-explainable-clustering-on-low-dimensional-data-representations-2111.03168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exclus-explainable-clustering-on-low-dimensional-data-representations-2111.03168"/></url>
<url><loc>https://scifaro.com/en/abs/hard-negative-sampling-via-regularized-optimal-transport-for-contrastive-representation-learning-2111.03169</loc><lastmod>2023-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hard-negative-sampling-via-regularized-optimal-transport-for-contrastive-representation-learning-2111.03169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hard-negative-sampling-via-regularized-optimal-transport-for-contrastive-representation-learning-2111.03169"/></url>
<url><loc>https://scifaro.com/en/abs/lw-gcn-a-lightweight-fpga-based-graph-convolutional-network-accelerator-2111.03184</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lw-gcn-a-lightweight-fpga-based-graph-convolutional-network-accelerator-2111.03184"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lw-gcn-a-lightweight-fpga-based-graph-convolutional-network-accelerator-2111.03184"/></url>
<url><loc>https://scifaro.com/en/abs/miracle-causally-aware-imputation-via-learning-missing-data-mechanisms-2111.03187</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/miracle-causally-aware-imputation-via-learning-missing-data-mechanisms-2111.03187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/miracle-causally-aware-imputation-via-learning-missing-data-mechanisms-2111.03187"/></url>
<url><loc>https://scifaro.com/en/abs/value-function-spaces-skill-centric-state-abstractions-for-long-horizon-reasoning-2111.03189</loc><lastmod>2022-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/value-function-spaces-skill-centric-state-abstractions-for-long-horizon-reasoning-2111.03189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/value-function-spaces-skill-centric-state-abstractions-for-long-horizon-reasoning-2111.03189"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-k-means-don-t-be-greedy-plant-bigger-trees-2111.03193</loc><lastmod>2022-04-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-k-means-don-t-be-greedy-plant-bigger-trees-2111.03193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-k-means-don-t-be-greedy-plant-bigger-trees-2111.03193"/></url>
<url><loc>https://scifaro.com/en/abs/compressing-sensor-data-for-remote-assistance-of-autonomous-vehicles-using-deep-generative-models-2111.03201</loc><lastmod>2025-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compressing-sensor-data-for-remote-assistance-of-autonomous-vehicles-using-deep-generative-models-2111.03201"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compressing-sensor-data-for-remote-assistance-of-autonomous-vehicles-using-deep-generative-models-2111.03201"/></url>
<url><loc>https://scifaro.com/en/abs/augmentations-in-graph-contrastive-learning-current-methodological-flaws-towards-better-practices-2111.03220</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmentations-in-graph-contrastive-learning-current-methodological-flaws-towards-better-practices-2111.03220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmentations-in-graph-contrastive-learning-current-methodological-flaws-towards-better-practices-2111.03220"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-data-augmentation-with-gating-networks-for-time-series-recognition-2111.03253</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-data-augmentation-with-gating-networks-for-time-series-recognition-2111.03253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-data-augmentation-with-gating-networks-for-time-series-recognition-2111.03253"/></url>
<url><loc>https://scifaro.com/en/abs/cgcl-collaborative-graph-contrastive-learning-without-handcrafted-graph-data-augmentations-2111.03262</loc><lastmod>2024-04-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cgcl-collaborative-graph-contrastive-learning-without-handcrafted-graph-data-augmentations-2111.03262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cgcl-collaborative-graph-contrastive-learning-without-handcrafted-graph-data-augmentations-2111.03262"/></url>
<url><loc>https://scifaro.com/en/abs/graph-denoising-with-framelet-regularizer-2111.03264</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-denoising-with-framelet-regularizer-2111.03264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-denoising-with-framelet-regularizer-2111.03264"/></url>
<url><loc>https://scifaro.com/en/abs/epilnet-a-novel-approach-to-iot-based-epileptic-seizure-prediction-and-diagnosis-system-using-artificial-intelligence-2111.03265</loc><lastmod>2023-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/epilnet-a-novel-approach-to-iot-based-epileptic-seizure-prediction-and-diagnosis-system-using-artificial-intelligence-2111.03265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/epilnet-a-novel-approach-to-iot-based-epileptic-seizure-prediction-and-diagnosis-system-using-artificial-intelligence-2111.03265"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-personalized-experimentation-2111.03267</loc><lastmod>2022-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-personalized-experimentation-2111.03267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-personalized-experimentation-2111.03267"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-based-epileptic-eeg-detection-and-classification-2111.03268</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-based-epileptic-eeg-detection-and-classification-2111.03268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-based-epileptic-eeg-detection-and-classification-2111.03268"/></url>
<url><loc>https://scifaro.com/en/abs/automated-human-mind-reading-using-eeg-signals-for-seizure-detection-2111.03270</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-human-mind-reading-using-eeg-signals-for-seizure-detection-2111.03270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-human-mind-reading-using-eeg-signals-for-seizure-detection-2111.03270"/></url>
<url><loc>https://scifaro.com/en/abs/dataset-of-fake-news-detection-and-fact-verification-a-survey-2111.03299</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dataset-of-fake-news-detection-and-fact-verification-a-survey-2111.03299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dataset-of-fake-news-detection-and-fact-verification-a-survey-2111.03299"/></url>
<url><loc>https://scifaro.com/en/abs/learning-on-random-balls-is-sufficient-for-estimating-some-graph-parameters-2111.03317</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-on-random-balls-is-sufficient-for-estimating-some-graph-parameters-2111.03317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-on-random-balls-is-sufficient-for-estimating-some-graph-parameters-2111.03317"/></url>
<url><loc>https://scifaro.com/en/abs/dvfl-a-vertical-federated-learning-method-for-dynamic-data-2111.03341</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dvfl-a-vertical-federated-learning-method-for-dynamic-data-2111.03341"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dvfl-a-vertical-federated-learning-method-for-dynamic-data-2111.03341"/></url>
<url><loc>https://scifaro.com/en/abs/coherent-probabilistic-aggregate-queries-on-long-horizon-forecasts-2111.03394</loc><lastmod>2022-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coherent-probabilistic-aggregate-queries-on-long-horizon-forecasts-2111.03394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coherent-probabilistic-aggregate-queries-on-long-horizon-forecasts-2111.03394"/></url>
<url><loc>https://scifaro.com/en/abs/dual-parameterization-of-sparse-variational-gaussian-processes-2111.03412</loc><lastmod>2022-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dual-parameterization-of-sparse-variational-gaussian-processes-2111.03412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dual-parameterization-of-sparse-variational-gaussian-processes-2111.03412"/></url>
<url><loc>https://scifaro.com/en/abs/meta-forecasting-by-combining-global-deep-representations-with-local-adaptation-2111.03418</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-forecasting-by-combining-global-deep-representations-with-local-adaptation-2111.03418"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-forecasting-by-combining-global-deep-representations-with-local-adaptation-2111.03418"/></url>
<url><loc>https://scifaro.com/en/abs/transferable-time-series-forecasting-under-causal-conditional-shift-2111.03422</loc><lastmod>2023-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferable-time-series-forecasting-under-causal-conditional-shift-2111.03422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferable-time-series-forecasting-under-causal-conditional-shift-2111.03422"/></url>
<url><loc>https://scifaro.com/en/abs/control-of-a-fly-mimicking-flyer-in-complex-flow-using-deep-reinforcement-learning-2111.03454</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/control-of-a-fly-mimicking-flyer-in-complex-flow-using-deep-reinforcement-learning-2111.03454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/control-of-a-fly-mimicking-flyer-in-complex-flow-using-deep-reinforcement-learning-2111.03454"/></url>
<url><loc>https://scifaro.com/en/abs/perturbational-complexity-by-distribution-mismatch-a-systematic-analysis-of-reinforcement-learning-in-reproducing-kernel-hilbert-space-2111.03469</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/perturbational-complexity-by-distribution-mismatch-a-systematic-analysis-of-reinforcement-learning-in-reproducing-kernel-hilbert-space-2111.03469"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/perturbational-complexity-by-distribution-mismatch-a-systematic-analysis-of-reinforcement-learning-in-reproducing-kernel-hilbert-space-2111.03469"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-advantage-actor-critic-for-recommender-systems-2111.03474</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-advantage-actor-critic-for-recommender-systems-2111.03474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-advantage-actor-critic-for-recommender-systems-2111.03474"/></url>
<url><loc>https://scifaro.com/en/abs/a-variational-u-net-for-weather-forecasting-2111.03476</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-variational-u-net-for-weather-forecasting-2111.03476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-variational-u-net-for-weather-forecasting-2111.03476"/></url>
<url><loc>https://scifaro.com/en/abs/automated-supervised-feature-selection-for-differentiated-patterns-of-care-2111.03495</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-supervised-feature-selection-for-differentiated-patterns-of-care-2111.03495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-supervised-feature-selection-for-differentiated-patterns-of-care-2111.03495"/></url>
<url><loc>https://scifaro.com/en/abs/data-selection-for-efficient-model-update-in-federated-learning-2111.03512</loc><lastmod>2022-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-selection-for-efficient-model-update-in-federated-learning-2111.03512"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-selection-for-efficient-model-update-in-federated-learning-2111.03512"/></url>
<url><loc>https://scifaro.com/en/abs/solving-the-class-imbalance-problem-using-a-counterfactual-method-for-data-augmentation-2111.03516</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-the-class-imbalance-problem-using-a-counterfactual-method-for-data-augmentation-2111.03516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-the-class-imbalance-problem-using-a-counterfactual-method-for-data-augmentation-2111.03516"/></url>
<url><loc>https://scifaro.com/en/abs/s-multi-sne-semi-supervised-classification-and-visualisation-of-multi-view-data-2111.03519</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/s-multi-sne-semi-supervised-classification-and-visualisation-of-multi-view-data-2111.03519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/s-multi-sne-semi-supervised-classification-and-visualisation-of-multi-view-data-2111.03519"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-driven-approach-to-neural-architecture-search-initialization-2111.03524</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-driven-approach-to-neural-architecture-search-initialization-2111.03524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-driven-approach-to-neural-architecture-search-initialization-2111.03524"/></url>
<url><loc>https://scifaro.com/en/abs/a-retrospective-analysis-using-deep-learning-models-for-prediction-of-survival-outcome-and-benefit-of-adjuvant-chemotherapy-in-stage-ii-iii-colorectal-cancer-2111.03532</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-retrospective-analysis-using-deep-learning-models-for-prediction-of-survival-outcome-and-benefit-of-adjuvant-chemotherapy-in-stage-ii-iii-colorectal-cancer-2111.03532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-retrospective-analysis-using-deep-learning-models-for-prediction-of-survival-outcome-and-benefit-of-adjuvant-chemotherapy-in-stage-ii-iii-colorectal-cancer-2111.03532"/></url>
<url><loc>https://scifaro.com/en/abs/an-analysis-of-elephants-movement-data-in-sub-saharan-africa-using-clustering-2111.03533</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-analysis-of-elephants-movement-data-in-sub-saharan-africa-using-clustering-2111.03533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-analysis-of-elephants-movement-data-in-sub-saharan-africa-using-clustering-2111.03533"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-game-theoretic-interpretation-of-adversarial-robustness-2111.03536</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-game-theoretic-interpretation-of-adversarial-robustness-2111.03536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-game-theoretic-interpretation-of-adversarial-robustness-2111.03536"/></url>
<url><loc>https://scifaro.com/en/abs/empirical-analysis-of-representation-learning-and-exploration-in-neural-kernel-bandits-2111.03543</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/empirical-analysis-of-representation-learning-and-exploration-in-neural-kernel-bandits-2111.03543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/empirical-analysis-of-representation-learning-and-exploration-in-neural-kernel-bandits-2111.03543"/></url>
<url><loc>https://scifaro.com/en/abs/autokd-automatic-knowledge-distillation-into-a-student-architecture-family-2111.03555</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autokd-automatic-knowledge-distillation-into-a-student-architecture-family-2111.03555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autokd-automatic-knowledge-distillation-into-a-student-architecture-family-2111.03555"/></url>
<url><loc>https://scifaro.com/en/abs/mixtures-of-laplace-approximations-for-improved-post-hoc-uncertainty-in-deep-learning-2111.03577</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixtures-of-laplace-approximations-for-improved-post-hoc-uncertainty-in-deep-learning-2111.03577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixtures-of-laplace-approximations-for-improved-post-hoc-uncertainty-in-deep-learning-2111.03577"/></url>
<url><loc>https://scifaro.com/en/abs/nonnegative-matrix-factorization-to-understand-spatio-temporal-traffic-pattern-variations-during-covid-19-a-case-study-2111.03592</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonnegative-matrix-factorization-to-understand-spatio-temporal-traffic-pattern-variations-during-covid-19-a-case-study-2111.03592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonnegative-matrix-factorization-to-understand-spatio-temporal-traffic-pattern-variations-during-covid-19-a-case-study-2111.03592"/></url>
<url><loc>https://scifaro.com/en/abs/nas-bench-x11-and-the-power-of-learning-curves-2111.03602</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nas-bench-x11-and-the-power-of-learning-curves-2111.03602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nas-bench-x11-and-the-power-of-learning-curves-2111.03602"/></url>
<url><loc>https://scifaro.com/en/abs/risk-averse-heteroscedastic-bayesian-optimization-2111.03637</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-averse-heteroscedastic-bayesian-optimization-2111.03637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-averse-heteroscedastic-bayesian-optimization-2111.03637"/></url>
<url><loc>https://scifaro.com/en/abs/increasing-fairness-in-predictions-using-bias-parity-score-based-loss-function-regularization-2111.03638</loc><lastmod>2021-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/increasing-fairness-in-predictions-using-bias-parity-score-based-loss-function-regularization-2111.03638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/increasing-fairness-in-predictions-using-bias-parity-score-based-loss-function-regularization-2111.03638"/></url>
<url><loc>https://scifaro.com/en/abs/oracle-teacher-leveraging-target-information-for-better-knowledge-distillation-of-ctc-models-2111.03664</loc><lastmod>2023-08-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/oracle-teacher-leveraging-target-information-for-better-knowledge-distillation-of-ctc-models-2111.03664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/oracle-teacher-leveraging-target-information-for-better-knowledge-distillation-of-ctc-models-2111.03664"/></url>
<url><loc>https://scifaro.com/en/abs/reconstructing-training-data-from-diverse-ml-models-by-ensemble-inversion-2111.03702</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reconstructing-training-data-from-diverse-ml-models-by-ensemble-inversion-2111.03702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reconstructing-training-data-from-diverse-ml-models-by-ensemble-inversion-2111.03702"/></url>
<url><loc>https://scifaro.com/en/abs/learn-one-size-to-infer-all-exploiting-translational-symmetries-in-delay-dynamical-and-spatio-temporal-systems-using-scalable-neural-networks-2111.03706</loc><lastmod>2024-07-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-one-size-to-infer-all-exploiting-translational-symmetries-in-delay-dynamical-and-spatio-temporal-systems-using-scalable-neural-networks-2111.03706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-one-size-to-infer-all-exploiting-translational-symmetries-in-delay-dynamical-and-spatio-temporal-systems-using-scalable-neural-networks-2111.03706"/></url>
<url><loc>https://scifaro.com/en/abs/feature-level-fusion-of-super-app-and-telecommunication-alternative-data-sources-for-credit-card-fraud-detection-2111.03707</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-level-fusion-of-super-app-and-telecommunication-alternative-data-sources-for-credit-card-fraud-detection-2111.03707"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-level-fusion-of-super-app-and-telecommunication-alternative-data-sources-for-credit-card-fraud-detection-2111.03707"/></url>
<url><loc>https://scifaro.com/en/abs/defect-detection-on-semiconductor-wafers-by-distribution-analysis-2111.03727</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defect-detection-on-semiconductor-wafers-by-distribution-analysis-2111.03727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defect-detection-on-semiconductor-wafers-by-distribution-analysis-2111.03727"/></url>
<url><loc>https://scifaro.com/en/abs/frugal-machine-learning-2111.03731</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frugal-machine-learning-2111.03731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frugal-machine-learning-2111.03731"/></url>
<url><loc>https://scifaro.com/en/abs/toward-learning-human-aligned-cross-domain-robust-models-by-countering-misaligned-features-2111.03740</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-learning-human-aligned-cross-domain-robust-models-by-countering-misaligned-features-2111.03740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-learning-human-aligned-cross-domain-robust-models-by-countering-misaligned-features-2111.03740"/></url>
<url><loc>https://scifaro.com/en/abs/sharp-bounds-for-federated-averaging-local-sgd-and-continuous-perspective-2111.03741</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharp-bounds-for-federated-averaging-local-sgd-and-continuous-perspective-2111.03741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharp-bounds-for-federated-averaging-local-sgd-and-continuous-perspective-2111.03741"/></url>
<url><loc>https://scifaro.com/en/abs/increasing-data-diversity-with-iterative-sampling-to-improve-performance-2111.03743</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/increasing-data-diversity-with-iterative-sampling-to-improve-performance-2111.03743"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/increasing-data-diversity-with-iterative-sampling-to-improve-performance-2111.03743"/></url>
<url><loc>https://scifaro.com/en/abs/mqbench-towards-reproducible-and-deployable-model-quantization-benchmark-2111.03759</loc><lastmod>2022-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mqbench-towards-reproducible-and-deployable-model-quantization-benchmark-2111.03759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mqbench-towards-reproducible-and-deployable-model-quantization-benchmark-2111.03759"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-regret-minimization-for-control-of-non-stationary-linear-dynamical-systems-2111.03772</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-regret-minimization-for-control-of-non-stationary-linear-dynamical-systems-2111.03772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-regret-minimization-for-control-of-non-stationary-linear-dynamical-systems-2111.03772"/></url>
<url><loc>https://scifaro.com/en/abs/d3rlpy-an-offline-deep-reinforcement-learning-library-2111.03788</loc><lastmod>2022-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/d3rlpy-an-offline-deep-reinforcement-learning-library-2111.03788"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/d3rlpy-an-offline-deep-reinforcement-learning-library-2111.03788"/></url>
<url><loc>https://scifaro.com/en/abs/physics-informed-neural-operator-for-learning-partial-differential-equations-2111.03794</loc><lastmod>2023-08-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-informed-neural-operator-for-learning-partial-differential-equations-2111.03794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-informed-neural-operator-for-learning-partial-differential-equations-2111.03794"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-unsupervised-outlier-detection-in-sequences-2111.03808</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-unsupervised-outlier-detection-in-sequences-2111.03808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-unsupervised-outlier-detection-in-sequences-2111.03808"/></url>
<url><loc>https://scifaro.com/en/abs/tnd-nas-towards-non-differentiable-objectives-in-progressive-differentiable-nas-framework-2111.03892</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tnd-nas-towards-non-differentiable-objectives-in-progressive-differentiable-nas-framework-2111.03892"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tnd-nas-towards-non-differentiable-objectives-in-progressive-differentiable-nas-framework-2111.03892"/></url>
<url><loc>https://scifaro.com/en/abs/on-pseudo-absence-generation-and-machine-learning-for-locust-breeding-ground-prediction-in-africa-2111.03904</loc><lastmod>2022-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-pseudo-absence-generation-and-machine-learning-for-locust-breeding-ground-prediction-in-africa-2111.03904"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-pseudo-absence-generation-and-machine-learning-for-locust-breeding-ground-prediction-in-africa-2111.03904"/></url>
<url><loc>https://scifaro.com/en/abs/optimal-and-efficient-dynamic-regret-algorithms-for-non-stationary-dueling-bandits-2111.03917</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimal-and-efficient-dynamic-regret-algorithms-for-non-stationary-dueling-bandits-2111.03917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimal-and-efficient-dynamic-regret-algorithms-for-non-stationary-dueling-bandits-2111.03917"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-model-for-breast-cancer-subtype-classification-2111.03923</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-model-for-breast-cancer-subtype-classification-2111.03923"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-model-for-breast-cancer-subtype-classification-2111.03923"/></url>
<url><loc>https://scifaro.com/en/abs/sope-spectrum-of-off-policy-estimators-2111.03936</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sope-spectrum-of-off-policy-estimators-2111.03936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sope-spectrum-of-off-policy-estimators-2111.03936"/></url>
<url><loc>https://scifaro.com/en/abs/time-discretization-invariant-safe-action-repetition-for-policy-gradient-methods-2111.03941</loc><lastmod>2022-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-discretization-invariant-safe-action-repetition-for-policy-gradient-methods-2111.03941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-discretization-invariant-safe-action-repetition-for-policy-gradient-methods-2111.03941"/></url>
<url><loc>https://scifaro.com/en/abs/a-probit-tensor-factorization-model-for-relational-learning-2111.03943</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-probit-tensor-factorization-model-for-relational-learning-2111.03943"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-probit-tensor-factorization-model-for-relational-learning-2111.03943"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-bellman-equation-and-improved-regret-bounds-for-risk-sensitive-reinforcement-learning-2111.03947</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-bellman-equation-and-improved-regret-bounds-for-risk-sensitive-reinforcement-learning-2111.03947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-bellman-equation-and-improved-regret-bounds-for-risk-sensitive-reinforcement-learning-2111.03947"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-reinforcement-learning-approach-for-composing-moving-iot-services-2111.03967</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-reinforcement-learning-approach-for-composing-moving-iot-services-2111.03967"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-reinforcement-learning-approach-for-composing-moving-iot-services-2111.03967"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-layer-wise-contributions-in-deep-neural-networks-through-spectral-analysis-2111.03972</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-layer-wise-contributions-in-deep-neural-networks-through-spectral-analysis-2111.03972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-layer-wise-contributions-in-deep-neural-networks-through-spectral-analysis-2111.03972"/></url>
<url><loc>https://scifaro.com/en/abs/cubelearn-end-to-end-learning-for-human-motion-recognition-from-raw-mmwave-radar-signals-2111.03976</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cubelearn-end-to-end-learning-for-human-motion-recognition-from-raw-mmwave-radar-signals-2111.03976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cubelearn-end-to-end-learning-for-human-motion-recognition-from-raw-mmwave-radar-signals-2111.03976"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-assisted-e-jet-printing-of-organic-flexible-biosensors-2111.03985</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-assisted-e-jet-printing-of-organic-flexible-biosensors-2111.03985"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-assisted-e-jet-printing-of-organic-flexible-biosensors-2111.03985"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-model-for-gross-community-production-rate-of-coral-reefs-using-ensemble-learning-methodologies-2111.04003</loc><lastmod>2023-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-model-for-gross-community-production-rate-of-coral-reefs-using-ensemble-learning-methodologies-2111.04003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-model-for-gross-community-production-rate-of-coral-reefs-using-ensemble-learning-methodologies-2111.04003"/></url>
<url><loc>https://scifaro.com/en/abs/exponential-escape-efficiency-of-sgd-from-sharp-minima-in-non-stationary-regime-2111.04004</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exponential-escape-efficiency-of-sgd-from-sharp-minima-in-non-stationary-regime-2111.04004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exponential-escape-efficiency-of-sgd-from-sharp-minima-in-non-stationary-regime-2111.04004"/></url>
<url><loc>https://scifaro.com/en/abs/a-review-of-location-encoding-for-geoai-methods-and-applications-2111.04006</loc><lastmod>2022-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-review-of-location-encoding-for-geoai-methods-and-applications-2111.04006"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-review-of-location-encoding-for-geoai-methods-and-applications-2111.04006"/></url>
<url><loc>https://scifaro.com/en/abs/positivity-validation-detection-and-explainability-via-zero-fraction-multi-hypothesis-testing-and-asymmetrically-pruned-decision-trees-2111.04033</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/positivity-validation-detection-and-explainability-via-zero-fraction-multi-hypothesis-testing-and-asymmetrically-pruned-decision-trees-2111.04033"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/positivity-validation-detection-and-explainability-via-zero-fraction-multi-hypothesis-testing-and-asymmetrically-pruned-decision-trees-2111.04033"/></url>
<url><loc>https://scifaro.com/en/abs/high-performance-out-of-sample-embedding-techniques-for-multidimensional-scaling-2111.04067</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/high-performance-out-of-sample-embedding-techniques-for-multidimensional-scaling-2111.04067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/high-performance-out-of-sample-embedding-techniques-for-multidimensional-scaling-2111.04067"/></url>
<url><loc>https://scifaro.com/en/abs/crowdsourcing-with-meta-workers-a-new-way-to-save-the-budget-2111.04068</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crowdsourcing-with-meta-workers-a-new-way-to-save-the-budget-2111.04068"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crowdsourcing-with-meta-workers-a-new-way-to-save-the-budget-2111.04068"/></url>
<url><loc>https://scifaro.com/en/abs/dvs-deep-visibility-series-and-its-application-in-construction-cost-index-forecasting-2111.04071</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dvs-deep-visibility-series-and-its-application-in-construction-cost-index-forecasting-2111.04071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dvs-deep-visibility-series-and-its-application-in-construction-cost-index-forecasting-2111.04071"/></url>
<url><loc>https://scifaro.com/en/abs/meta-cross-modal-hashing-on-long-tailed-data-2111.04086</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-cross-modal-hashing-on-long-tailed-data-2111.04086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-cross-modal-hashing-on-long-tailed-data-2111.04086"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-causal-discovery-in-the-possible-presence-of-latent-confounders-and-selection-bias-2111.04095</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-causal-discovery-in-the-possible-presence-of-latent-confounders-and-selection-bias-2111.04095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-causal-discovery-in-the-possible-presence-of-latent-confounders-and-selection-bias-2111.04095"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-calibration-for-ensemble-based-debiasing-methods-2111.04104</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-calibration-for-ensemble-based-debiasing-methods-2111.04104"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-calibration-for-ensemble-based-debiasing-methods-2111.04104"/></url>
<url><loc>https://scifaro.com/en/abs/dqre-scnet-a-novel-hybrid-approach-for-selecting-users-in-federated-learning-with-deep-q-reinforcement-learning-based-on-spectral-clustering-2111.04105</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dqre-scnet-a-novel-hybrid-approach-for-selecting-users-in-federated-learning-with-deep-q-reinforcement-learning-based-on-spectral-clustering-2111.04105"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dqre-scnet-a-novel-hybrid-approach-for-selecting-users-in-federated-learning-with-deep-q-reinforcement-learning-based-on-spectral-clustering-2111.04105"/></url>
<url><loc>https://scifaro.com/en/abs/metamiml-meta-multi-instance-multi-label-learning-2111.04112</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/metamiml-meta-multi-instance-multi-label-learning-2111.04112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/metamiml-meta-multi-instance-multi-label-learning-2111.04112"/></url>
<url><loc>https://scifaro.com/en/abs/plumber-diagnosing-and-removing-performance-bottlenecks-in-machine-learning-data-pipelines-2111.04131</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plumber-diagnosing-and-removing-performance-bottlenecks-in-machine-learning-data-pipelines-2111.04131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plumber-diagnosing-and-removing-performance-bottlenecks-in-machine-learning-data-pipelines-2111.04131"/></url>
<url><loc>https://scifaro.com/en/abs/coughtrigger-earbuds-imu-based-cough-detection-activator-using-an-energy-efficient-sensitivity-prioritized-time-series-classifier-2111.04185</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/coughtrigger-earbuds-imu-based-cough-detection-activator-using-an-energy-efficient-sensitivity-prioritized-time-series-classifier-2111.04185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/coughtrigger-earbuds-imu-based-cough-detection-activator-using-an-energy-efficient-sensitivity-prioritized-time-series-classifier-2111.04185"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-in-neural-differential-equations-2111.04207</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-in-neural-differential-equations-2111.04207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-in-neural-differential-equations-2111.04207"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-rectify-for-robust-learning-with-noisy-labels-2111.04239</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-rectify-for-robust-learning-with-noisy-labels-2111.04239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-rectify-for-robust-learning-with-noisy-labels-2111.04239"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-data-pre-processing-technique-making-data-mining-robust-to-different-units-and-scales-of-measurement-2111.04253</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-data-pre-processing-technique-making-data-mining-robust-to-different-units-and-scales-of-measurement-2111.04253"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-data-pre-processing-technique-making-data-mining-robust-to-different-units-and-scales-of-measurement-2111.04253"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-benchmarking-with-the-ludwig-benchmarking-toolkit-2111.04260</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-benchmarking-with-the-ludwig-benchmarking-toolkit-2111.04260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-benchmarking-with-the-ludwig-benchmarking-toolkit-2111.04260"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-based-on-dynamic-regularization-2111.04263</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-based-on-dynamic-regularization-2111.04263"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-based-on-dynamic-regularization-2111.04263"/></url>
<url><loc>https://scifaro.com/en/abs/group-aware-threshold-adaptation-for-fair-classification-2111.04271</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-aware-threshold-adaptation-for-fair-classification-2111.04271"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-aware-threshold-adaptation-for-fair-classification-2111.04271"/></url>
<url><loc>https://scifaro.com/en/abs/mimic-an-adaptive-algorithm-for-multivariate-time-series-classification-2111.04273</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mimic-an-adaptive-algorithm-for-multivariate-time-series-classification-2111.04273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mimic-an-adaptive-algorithm-for-multivariate-time-series-classification-2111.04273"/></url>
<url><loc>https://scifaro.com/en/abs/batch-reinforcement-learning-from-crowds-2111.04279</loc><lastmod>2022-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-reinforcement-learning-from-crowds-2111.04279"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-reinforcement-learning-from-crowds-2111.04279"/></url>
<url><loc>https://scifaro.com/en/abs/deep-unsupervised-active-learning-on-learnable-graphs-2111.04286</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-unsupervised-active-learning-on-learnable-graphs-2111.04286"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-unsupervised-active-learning-on-learnable-graphs-2111.04286"/></url>
<url><loc>https://scifaro.com/en/abs/the-hardness-analysis-of-thompson-sampling-for-combinatorial-semi-bandits-with-greedy-oracle-2111.04295</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-hardness-analysis-of-thompson-sampling-for-combinatorial-semi-bandits-with-greedy-oracle-2111.04295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-hardness-analysis-of-thompson-sampling-for-combinatorial-semi-bandits-with-greedy-oracle-2111.04295"/></url>
<url><loc>https://scifaro.com/en/abs/defense-against-explanation-manipulation-2111.04303</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defense-against-explanation-manipulation-2111.04303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defense-against-explanation-manipulation-2111.04303"/></url>
<url><loc>https://scifaro.com/en/abs/learning-context-aware-representations-of-subtrees-2111.04308</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-context-aware-representations-of-subtrees-2111.04308"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-context-aware-representations-of-subtrees-2111.04308"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-learned-features-of-deep-learning-applied-to-eeg-2111.04309</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-learned-features-of-deep-learning-applied-to-eeg-2111.04309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-learned-features-of-deep-learning-applied-to-eeg-2111.04309"/></url>
<url><loc>https://scifaro.com/en/abs/a-relational-model-for-one-shot-classification-2111.04313</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-relational-model-for-one-shot-classification-2111.04313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-relational-model-for-one-shot-classification-2111.04313"/></url>
<url><loc>https://scifaro.com/en/abs/graph-robustness-benchmark-benchmarking-the-adversarial-robustness-of-graph-machine-learning-2111.04314</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-robustness-benchmark-benchmarking-the-adversarial-robustness-of-graph-machine-learning-2111.04314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-robustness-benchmark-benchmarking-the-adversarial-robustness-of-graph-machine-learning-2111.04314"/></url>
<url><loc>https://scifaro.com/en/abs/spirometry-based-airways-disease-simulation-and-recognition-using-machine-learning-approaches-2111.04315</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spirometry-based-airways-disease-simulation-and-recognition-using-machine-learning-approaches-2111.04315"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spirometry-based-airways-disease-simulation-and-recognition-using-machine-learning-approaches-2111.04315"/></url>
<url><loc>https://scifaro.com/en/abs/auto-encoding-knowledge-graph-for-unsupervised-medical-report-generation-2111.04318</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auto-encoding-knowledge-graph-for-unsupervised-medical-report-generation-2111.04318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auto-encoding-knowledge-graph-for-unsupervised-medical-report-generation-2111.04318"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-imitation-learning-from-visual-inputs-2111.04345</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-imitation-learning-from-visual-inputs-2111.04345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-imitation-learning-from-visual-inputs-2111.04345"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparison-of-deep-learning-architectures-for-optical-galaxy-morphology-classification-2111.04353</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparison-of-deep-learning-architectures-for-optical-galaxy-morphology-classification-2111.04353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparison-of-deep-learning-architectures-for-optical-galaxy-morphology-classification-2111.04353"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-information-theoretically-safe-bias-classifier-against-adversarial-attacks-2111.04404</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-information-theoretically-safe-bias-classifier-against-adversarial-attacks-2111.04404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-information-theoretically-safe-bias-classifier-against-adversarial-attacks-2111.04404"/></url>
<url><loc>https://scifaro.com/en/abs/there-is-no-double-descent-in-random-forests-2111.04409</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/there-is-no-double-descent-in-random-forests-2111.04409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/there-is-no-double-descent-in-random-forests-2111.04409"/></url>
<url><loc>https://scifaro.com/en/abs/flight-demand-forecasting-with-transformers-2111.04471</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flight-demand-forecasting-with-transformers-2111.04471"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flight-demand-forecasting-with-transformers-2111.04471"/></url>
<url><loc>https://scifaro.com/en/abs/weapon-engagement-zone-maximum-launch-range-estimation-using-a-deep-neural-network-2111.04474</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/weapon-engagement-zone-maximum-launch-range-estimation-using-a-deep-neural-network-2111.04474"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/weapon-engagement-zone-maximum-launch-range-estimation-using-a-deep-neural-network-2111.04474"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-the-leading-factors-of-significant-weight-gains-using-a-new-rule-discovery-method-2111.04475</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-the-leading-factors-of-significant-weight-gains-using-a-new-rule-discovery-method-2111.04475"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-the-leading-factors-of-significant-weight-gains-using-a-new-rule-discovery-method-2111.04475"/></url>
<url><loc>https://scifaro.com/en/abs/multi-airport-delay-prediction-with-transformers-2111.04494</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-airport-delay-prediction-with-transformers-2111.04494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-airport-delay-prediction-with-transformers-2111.04494"/></url>
<url><loc>https://scifaro.com/en/abs/an-approach-for-combining-multimodal-fusion-and-neural-architecture-search-applied-to-knowledge-tracing-2111.04497</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-approach-for-combining-multimodal-fusion-and-neural-architecture-search-applied-to-knowledge-tracing-2111.04497"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-approach-for-combining-multimodal-fusion-and-neural-architecture-search-applied-to-knowledge-tracing-2111.04497"/></url>
<url><loc>https://scifaro.com/en/abs/improving-rna-secondary-structure-design-using-deep-reinforcement-learning-2111.04504</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-rna-secondary-structure-design-using-deep-reinforcement-learning-2111.04504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-rna-secondary-structure-design-using-deep-reinforcement-learning-2111.04504"/></url>
<url><loc>https://scifaro.com/en/abs/feature-concepts-for-data-federative-innovations-2111.04505</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-concepts-for-data-federative-innovations-2111.04505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-concepts-for-data-federative-innovations-2111.04505"/></url>
<url><loc>https://scifaro.com/en/abs/arfed-attack-resistant-federated-averaging-based-on-outlier-elimination-2111.04550</loc><lastmod>2023-06-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/arfed-attack-resistant-federated-averaging-based-on-outlier-elimination-2111.04550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/arfed-attack-resistant-federated-averaging-based-on-outlier-elimination-2111.04550"/></url>
<url><loc>https://scifaro.com/en/abs/improved-regularization-and-robustness-for-fine-tuning-in-neural-networks-2111.04578</loc><lastmod>2025-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-regularization-and-robustness-for-fine-tuning-in-neural-networks-2111.04578"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-regularization-and-robustness-for-fine-tuning-in-neural-networks-2111.04578"/></url>
<url><loc>https://scifaro.com/en/abs/information-theoretic-bayes-risk-lower-bounds-for-realizable-models-2111.04579</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-theoretic-bayes-risk-lower-bounds-for-realizable-models-2111.04579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-theoretic-bayes-risk-lower-bounds-for-realizable-models-2111.04579"/></url>
<url><loc>https://scifaro.com/en/abs/nonnegative-tensor-completion-via-integer-optimization-2111.04580</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonnegative-tensor-completion-via-integer-optimization-2111.04580"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonnegative-tensor-completion-via-integer-optimization-2111.04580"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-stochastic-stability-of-deep-markov-models-2111.04601</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-stochastic-stability-of-deep-markov-models-2111.04601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-stochastic-stability-of-deep-markov-models-2111.04601"/></url>
<url><loc>https://scifaro.com/en/abs/variational-automatic-curriculum-learning-for-sparse-reward-cooperative-multi-agent-problems-2111.04613</loc><lastmod>2023-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-automatic-curriculum-learning-for-sparse-reward-cooperative-multi-agent-problems-2111.04613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-automatic-curriculum-learning-for-sparse-reward-cooperative-multi-agent-problems-2111.04613"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-gan-training-using-highly-parallel-hardware-on-public-cloud-2111.04628</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-gan-training-using-highly-parallel-hardware-on-public-cloud-2111.04628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-gan-training-using-highly-parallel-hardware-on-public-cloud-2111.04628"/></url>
<url><loc>https://scifaro.com/en/abs/s3rp-self-supervised-super-resolution-and-prediction-for-advection-diffusion-process-2111.04639</loc><lastmod>2023-06-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/s3rp-self-supervised-super-resolution-and-prediction-for-advection-diffusion-process-2111.04639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/s3rp-self-supervised-super-resolution-and-prediction-for-advection-diffusion-process-2111.04639"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-predictive-uncertainty-and-robustness-to-distributional-shift-using-real-world-data-2111.04665</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-predictive-uncertainty-and-robustness-to-distributional-shift-using-real-world-data-2111.04665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-predictive-uncertainty-and-robustness-to-distributional-shift-using-real-world-data-2111.04665"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-neural-architecture-search-via-operation-distribution-learning-2111.04670</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-neural-architecture-search-via-operation-distribution-learning-2111.04670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-neural-architecture-search-via-operation-distribution-learning-2111.04670"/></url>
<url><loc>https://scifaro.com/en/abs/smu-smooth-activation-function-for-deep-networks-using-smoothing-maximum-technique-2111.04682</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smu-smooth-activation-function-for-deep-networks-using-smoothing-maximum-technique-2111.04682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smu-smooth-activation-function-for-deep-networks-using-smoothing-maximum-technique-2111.04682"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-methods-for-finding-influential-examples-2111.04683</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-methods-for-finding-influential-examples-2111.04683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-methods-for-finding-influential-examples-2111.04683"/></url>
<url><loc>https://scifaro.com/en/abs/universal-and-data-adaptive-algorithms-for-model-selection-in-linear-contextual-bandits-2111.04688</loc><lastmod>2022-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-and-data-adaptive-algorithms-for-model-selection-in-linear-contextual-bandits-2111.04688"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-and-data-adaptive-algorithms-for-model-selection-in-linear-contextual-bandits-2111.04688"/></url>
<url><loc>https://scifaro.com/en/abs/interactive-inverse-reinforcement-learning-for-cooperative-games-2111.04698</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interactive-inverse-reinforcement-learning-for-cooperative-games-2111.04698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interactive-inverse-reinforcement-learning-for-cooperative-games-2111.04698"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-framework-for-gradient-leakage-2111.04706</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-framework-for-gradient-leakage-2111.04706"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-framework-for-gradient-leakage-2111.04706"/></url>
<url><loc>https://scifaro.com/en/abs/a-dataset-perspective-on-offline-reinforcement-learning-2111.04714</loc><lastmod>2022-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-dataset-perspective-on-offline-reinforcement-learning-2111.04714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-dataset-perspective-on-offline-reinforcement-learning-2111.04714"/></url>
<url><loc>https://scifaro.com/en/abs/directional-message-passing-on-molecular-graphs-via-synthetic-coordinates-2111.04718</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/directional-message-passing-on-molecular-graphs-via-synthetic-coordinates-2111.04718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/directional-message-passing-on-molecular-graphs-via-synthetic-coordinates-2111.04718"/></url>
<url><loc>https://scifaro.com/en/abs/sustainbench-benchmarks-for-monitoring-the-sustainable-development-goals-with-machine-learning-2111.04724</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sustainbench-benchmarks-for-monitoring-the-sustainable-development-goals-with-machine-learning-2111.04724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sustainbench-benchmarks-for-monitoring-the-sustainable-development-goals-with-machine-learning-2111.04724"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-high-order-gradients-of-the-data-distribution-by-denoising-2111.04726</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-high-order-gradients-of-the-data-distribution-by-denoising-2111.04726"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-high-order-gradients-of-the-data-distribution-by-denoising-2111.04726"/></url>
<url><loc>https://scifaro.com/en/abs/efficiently-learning-any-one-hidden-layer-relu-network-from-queries-2111.04727</loc><lastmod>2021-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficiently-learning-any-one-hidden-layer-relu-network-from-queries-2111.04727"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficiently-learning-any-one-hidden-layer-relu-network-from-queries-2111.04727"/></url>
<url><loc>https://scifaro.com/en/abs/use-of-1d-cnn-for-input-data-size-reduction-of-lstm-in-hourly-rainfall-runoff-modeling-2111.04732</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/use-of-1d-cnn-for-input-data-size-reduction-of-lstm-in-hourly-rainfall-runoff-modeling-2111.04732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/use-of-1d-cnn-for-input-data-size-reduction-of-lstm-in-hourly-rainfall-runoff-modeling-2111.04732"/></url>
<url><loc>https://scifaro.com/en/abs/realizable-learning-is-all-you-need-2111.04746</loc><lastmod>2024-08-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/realizable-learning-is-all-you-need-2111.04746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/realizable-learning-is-all-you-need-2111.04746"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-approach-for-aggressive-driving-behaviour-detection-2111.04794</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-approach-for-aggressive-driving-behaviour-detection-2111.04794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-approach-for-aggressive-driving-behaviour-detection-2111.04794"/></url>
<url><loc>https://scifaro.com/en/abs/taglets-a-system-for-automatic-semi-supervised-learning-with-auxiliary-data-2111.04798</loc><lastmod>2022-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/taglets-a-system-for-automatic-semi-supervised-learning-with-auxiliary-data-2111.04798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/taglets-a-system-for-automatic-semi-supervised-learning-with-auxiliary-data-2111.04798"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-hyperparameter-optimization-via-partial-dependence-plots-2111.04820</loc><lastmod>2022-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-hyperparameter-optimization-via-partial-dependence-plots-2111.04820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-hyperparameter-optimization-via-partial-dependence-plots-2111.04820"/></url>
<url><loc>https://scifaro.com/en/abs/massformer-tandem-mass-spectrum-prediction-for-small-molecules-using-graph-transformers-2111.04824</loc><lastmod>2023-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/massformer-tandem-mass-spectrum-prediction-for-small-molecules-using-graph-transformers-2111.04824"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/massformer-tandem-mass-spectrum-prediction-for-small-molecules-using-graph-transformers-2111.04824"/></url>
<url><loc>https://scifaro.com/en/abs/inferential-sir-gn-scalable-graph-representation-learning-2111.04826</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inferential-sir-gn-scalable-graph-representation-learning-2111.04826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inferential-sir-gn-scalable-graph-representation-learning-2111.04826"/></url>
<url><loc>https://scifaro.com/en/abs/safe-data-collection-for-offline-and-online-policy-learning-2111.04835</loc><lastmod>2022-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-data-collection-for-offline-and-online-policy-learning-2111.04835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-data-collection-for-offline-and-online-policy-learning-2111.04835"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-estimates-of-optimal-transport-via-low-dimensional-embeddings-2111.04838</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-estimates-of-optimal-transport-via-low-dimensional-embeddings-2111.04838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-estimates-of-optimal-transport-via-low-dimensional-embeddings-2111.04838"/></url>
<url><loc>https://scifaro.com/en/abs/cold-brew-distilling-graph-node-representations-with-incomplete-or-missing-neighborhoods-2111.04840</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cold-brew-distilling-graph-node-representations-with-incomplete-or-missing-neighborhoods-2111.04840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cold-brew-distilling-graph-node-representations-with-incomplete-or-missing-neighborhoods-2111.04840"/></url>
<url><loc>https://scifaro.com/en/abs/dueling-rl-reinforcement-learning-with-trajectory-preferences-2111.04850</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dueling-rl-reinforcement-learning-with-trajectory-preferences-2111.04850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dueling-rl-reinforcement-learning-with-trajectory-preferences-2111.04850"/></url>
<url><loc>https://scifaro.com/en/abs/model-assisted-deep-learning-of-rare-extreme-events-from-partial-observations-2111.04857</loc><lastmod>2022-04-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-assisted-deep-learning-of-rare-extreme-events-from-partial-observations-2111.04857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-assisted-deep-learning-of-rare-extreme-events-from-partial-observations-2111.04857"/></url>
<url><loc>https://scifaro.com/en/abs/on-assessing-the-safety-of-reinforcement-learning-algorithms-using-formal-methods-2111.04865</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-assessing-the-safety-of-reinforcement-learning-algorithms-using-formal-methods-2111.04865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-assessing-the-safety-of-reinforcement-learning-algorithms-using-formal-methods-2111.04865"/></url>
<url><loc>https://scifaro.com/en/abs/a-toolkit-for-data-driven-discovery-of-governing-equations-in-high-noise-regimes-2111.04870</loc><lastmod>2022-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-toolkit-for-data-driven-discovery-of-governing-equations-in-high-noise-regimes-2111.04870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-toolkit-for-data-driven-discovery-of-governing-equations-in-high-noise-regimes-2111.04870"/></url>
<url><loc>https://scifaro.com/en/abs/an-instance-dependent-analysis-for-the-cooperative-multi-player-multi-armed-bandit-2111.04873</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-instance-dependent-analysis-for-the-cooperative-multi-player-multi-armed-bandit-2111.04873"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-instance-dependent-analysis-for-the-cooperative-multi-player-multi-armed-bandit-2111.04873"/></url>
<url><loc>https://scifaro.com/en/abs/papaya-practical-private-and-scalable-federated-learning-2111.04877</loc><lastmod>2022-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/papaya-practical-private-and-scalable-federated-learning-2111.04877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/papaya-practical-private-and-scalable-federated-learning-2111.04877"/></url>
<url><loc>https://scifaro.com/en/abs/active-linear-regression-for-ell-p-norms-and-beyond-2111.04888</loc><lastmod>2022-09-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/active-linear-regression-for-ell-p-norms-and-beyond-2111.04888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/active-linear-regression-for-ell-p-norms-and-beyond-2111.04888"/></url>
<url><loc>https://scifaro.com/en/abs/safe-policy-optimization-with-local-generalized-linear-function-approximations-2111.04894</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-policy-optimization-with-local-generalized-linear-function-approximations-2111.04894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-policy-optimization-with-local-generalized-linear-function-approximations-2111.04894"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-multimodal-electronic-health-records-based-research-challenges-and-perspectives-2111.04898</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-multimodal-electronic-health-records-based-research-challenges-and-perspectives-2111.04898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-multimodal-electronic-health-records-based-research-challenges-and-perspectives-2111.04898"/></url>
<url><loc>https://scifaro.com/en/abs/label-aware-distribution-calibration-for-long-tailed-classification-2111.04901</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-aware-distribution-calibration-for-long-tailed-classification-2111.04901"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-aware-distribution-calibration-for-long-tailed-classification-2111.04901"/></url>
<url><loc>https://scifaro.com/en/abs/practical-provably-correct-interactive-learning-in-the-realizable-setting-the-power-of-true-believers-2111.04915</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practical-provably-correct-interactive-learning-in-the-realizable-setting-the-power-of-true-believers-2111.04915"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practical-provably-correct-interactive-learning-in-the-realizable-setting-the-power-of-true-believers-2111.04915"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-bayesian-acquisition-functions-in-gaussian-processes-2111.04930</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-bayesian-acquisition-functions-in-gaussian-processes-2111.04930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-bayesian-acquisition-functions-in-gaussian-processes-2111.04930"/></url>
<url><loc>https://scifaro.com/en/abs/an-interactive-visualization-tool-for-understanding-active-learning-2111.04936</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-interactive-visualization-tool-for-understanding-active-learning-2111.04936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-interactive-visualization-tool-for-understanding-active-learning-2111.04936"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-multiple-time-series-a-deep-disentangled-approach-to-diversified-time-series-forecasting-2111.04942</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-multiple-time-series-a-deep-disentangled-approach-to-diversified-time-series-forecasting-2111.04942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-multiple-time-series-a-deep-disentangled-approach-to-diversified-time-series-forecasting-2111.04942"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-and-empirical-evaluation-of-parallel-deep-learning-frameworks-2111.04949</loc><lastmod>2022-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-and-empirical-evaluation-of-parallel-deep-learning-frameworks-2111.04949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-and-empirical-evaluation-of-parallel-deep-learning-frameworks-2111.04949"/></url>
<url><loc>https://scifaro.com/en/abs/on-representation-knowledge-distillation-for-graph-neural-networks-2111.04964</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-representation-knowledge-distillation-for-graph-neural-networks-2111.04964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-representation-knowledge-distillation-for-graph-neural-networks-2111.04964"/></url>
<url><loc>https://scifaro.com/en/abs/risk-sensitive-model-based-reinforcement-learning-using-uncertainty-guided-planning-2111.04972</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/risk-sensitive-model-based-reinforcement-learning-using-uncertainty-guided-planning-2111.04972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/risk-sensitive-model-based-reinforcement-learning-using-uncertainty-guided-planning-2111.04972"/></url>
<url><loc>https://scifaro.com/en/abs/analysis-of-sectoral-profitability-of-the-indian-stock-market-using-an-lstm-regression-model-2111.04976</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/analysis-of-sectoral-profitability-of-the-indian-stock-market-using-an-lstm-regression-model-2111.04976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/analysis-of-sectoral-profitability-of-the-indian-stock-market-using-an-lstm-regression-model-2111.04976"/></url>
<url><loc>https://scifaro.com/en/abs/wasserstein-adversarially-regularized-graph-autoencoder-2111.04981</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wasserstein-adversarially-regularized-graph-autoencoder-2111.04981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wasserstein-adversarially-regularized-graph-autoencoder-2111.04981"/></url>
<url><loc>https://scifaro.com/en/abs/unified-group-fairness-on-federated-learning-2111.04986</loc><lastmod>2022-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unified-group-fairness-on-federated-learning-2111.04986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unified-group-fairness-on-federated-learning-2111.04986"/></url>
<url><loc>https://scifaro.com/en/abs/misspecified-gaussian-process-bandit-optimization-2111.05008</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/misspecified-gaussian-process-bandit-optimization-2111.05008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/misspecified-gaussian-process-bandit-optimization-2111.05008"/></url>
<url><loc>https://scifaro.com/en/abs/rave-a-variational-autoencoder-for-fast-and-high-quality-neural-audio-synthesis-2111.05011</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rave-a-variational-autoencoder-for-fast-and-high-quality-neural-audio-synthesis-2111.05011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rave-a-variational-autoencoder-for-fast-and-high-quality-neural-audio-synthesis-2111.05011"/></url>
<url><loc>https://scifaro.com/en/abs/look-back-look-around-a-systematic-analysis-of-effective-predictors-for-new-outlinks-in-focused-web-crawling-2111.05062</loc><lastmod>2022-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/look-back-look-around-a-systematic-analysis-of-effective-predictors-for-new-outlinks-in-focused-web-crawling-2111.05062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/look-back-look-around-a-systematic-analysis-of-effective-predictors-for-new-outlinks-in-focused-web-crawling-2111.05062"/></url>
<url><loc>https://scifaro.com/en/abs/tightening-the-approximation-error-of-adversarial-risk-with-auto-loss-function-search-2111.05063</loc><lastmod>2022-04-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tightening-the-approximation-error-of-adversarial-risk-with-auto-loss-function-search-2111.05063"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tightening-the-approximation-error-of-adversarial-risk-with-auto-loss-function-search-2111.05063"/></url>
<url><loc>https://scifaro.com/en/abs/universal-lower-bound-for-learning-causal-dags-with-atomic-interventions-2111.05070</loc><lastmod>2022-05-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universal-lower-bound-for-learning-causal-dags-with-atomic-interventions-2111.05070"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universal-lower-bound-for-learning-causal-dags-with-atomic-interventions-2111.05070"/></url>
<url><loc>https://scifaro.com/en/abs/mixacm-mixup-based-robustness-transfer-via-distillation-of-activated-channel-maps-2111.05073</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixacm-mixup-based-robustness-transfer-via-distillation-of-activated-channel-maps-2111.05073"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixacm-mixup-based-robustness-transfer-via-distillation-of-activated-channel-maps-2111.05073"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-backdoor-attacks-with-multi-level-mmd-regularization-2111.05077</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-backdoor-attacks-with-multi-level-mmd-regularization-2111.05077"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-backdoor-attacks-with-multi-level-mmd-regularization-2111.05077"/></url>
<url><loc>https://scifaro.com/en/abs/losses-dissonances-and-distortions-2111.05128</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/losses-dissonances-and-distortions-2111.05128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/losses-dissonances-and-distortions-2111.05128"/></url>
<url><loc>https://scifaro.com/en/abs/on-training-implicit-models-2111.05177</loc><lastmod>2022-01-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-training-implicit-models-2111.05177"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-training-implicit-models-2111.05177"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-green-deep-learning-2111.05193</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-green-deep-learning-2111.05193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-green-deep-learning-2111.05193"/></url>
<url><loc>https://scifaro.com/en/abs/deep-diffusion-based-forecasting-of-covid-19-by-incorporating-network-level-mobility-information-2111.05199</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-diffusion-based-forecasting-of-covid-19-by-incorporating-network-level-mobility-information-2111.05199"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-diffusion-based-forecasting-of-covid-19-by-incorporating-network-level-mobility-information-2111.05199"/></url>
<url><loc>https://scifaro.com/en/abs/a-topological-data-analysis-based-classifier-2111.05214</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-topological-data-analysis-based-classifier-2111.05214"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-topological-data-analysis-based-classifier-2111.05214"/></url>
<url><loc>https://scifaro.com/en/abs/a-research-framework-for-writing-differentiable-pde-discretizations-in-jax-2111.05218</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-research-framework-for-writing-differentiable-pde-discretizations-in-jax-2111.05218"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-research-framework-for-writing-differentiable-pde-discretizations-in-jax-2111.05218"/></url>
<url><loc>https://scifaro.com/en/abs/mlharness-a-scalable-benchmarking-system-for-mlcommons-2111.05231</loc><lastmod>2025-04-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mlharness-a-scalable-benchmarking-system-for-mlcommons-2111.05231"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mlharness-a-scalable-benchmarking-system-for-mlcommons-2111.05231"/></url>
<url><loc>https://scifaro.com/en/abs/learning-rates-for-nonconvex-pairwise-learning-2111.05232</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-rates-for-nonconvex-pairwise-learning-2111.05232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-rates-for-nonconvex-pairwise-learning-2111.05232"/></url>
<url><loc>https://scifaro.com/en/abs/logarithmic-regret-from-sublinear-hints-2111.05257</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logarithmic-regret-from-sublinear-hints-2111.05257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logarithmic-regret-from-sublinear-hints-2111.05257"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-the-atmospheric-drivers-of-drought-and-heat-using-a-smoothed-deep-learning-approach-2111.05303</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-the-atmospheric-drivers-of-drought-and-heat-using-a-smoothed-deep-learning-approach-2111.05303"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-the-atmospheric-drivers-of-drought-and-heat-using-a-smoothed-deep-learning-approach-2111.05303"/></url>
<url><loc>https://scifaro.com/en/abs/turing-universal-learners-with-optimal-scaling-laws-2111.05321</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/turing-universal-learners-with-optimal-scaling-laws-2111.05321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/turing-universal-learners-with-optimal-scaling-laws-2111.05321"/></url>
<url><loc>https://scifaro.com/en/abs/variational-multi-task-learning-with-gumbel-softmax-priors-2111.05323</loc><lastmod>2021-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-multi-task-learning-with-gumbel-softmax-priors-2111.05323"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-multi-task-learning-with-gumbel-softmax-priors-2111.05323"/></url>
<url><loc>https://scifaro.com/en/abs/the-internet-of-federated-things-ioft-a-vision-for-the-future-and-in-depth-survey-of-data-driven-approaches-for-federated-learning-2111.05326</loc><lastmod>2023-07-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-internet-of-federated-things-ioft-a-vision-for-the-future-and-in-depth-survey-of-data-driven-approaches-for-federated-learning-2111.05326"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-internet-of-federated-things-ioft-a-vision-for-the-future-and-in-depth-survey-of-data-driven-approaches-for-federated-learning-2111.05326"/></url>
<url><loc>https://scifaro.com/en/abs/datawords-getting-contrarian-with-text-structured-data-and-explanations-2111.05384</loc><lastmod>2022-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/datawords-getting-contrarian-with-text-structured-data-and-explanations-2111.05384"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/datawords-getting-contrarian-with-text-structured-data-and-explanations-2111.05384"/></url>
<url><loc>https://scifaro.com/en/abs/subtyping-patients-with-chronic-disease-using-longitudinal-bmi-patterns-2111.05385</loc><lastmod>2024-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subtyping-patients-with-chronic-disease-using-longitudinal-bmi-patterns-2111.05385"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subtyping-patients-with-chronic-disease-using-longitudinal-bmi-patterns-2111.05385"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-process-meta-few-shot-classifier-learning-via-linear-discriminant-laplace-approximation-2111.05392</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-process-meta-few-shot-classifier-learning-via-linear-discriminant-laplace-approximation-2111.05392"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-process-meta-few-shot-classifier-learning-via-linear-discriminant-laplace-approximation-2111.05392"/></url>
<url><loc>https://scifaro.com/en/abs/object-centric-representation-learning-with-generative-spatial-temporal-factorization-2111.05393</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/object-centric-representation-learning-with-generative-spatial-temporal-factorization-2111.05393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/object-centric-representation-learning-with-generative-spatial-temporal-factorization-2111.05393"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-the-graph-structure-of-neural-network-training-dynamics-2111.05410</loc><lastmod>2023-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-the-graph-structure-of-neural-network-training-dynamics-2111.05410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-the-graph-structure-of-neural-network-training-dynamics-2111.05410"/></url>
<url><loc>https://scifaro.com/en/abs/mnet-sim-a-multi-layered-semantic-similarity-network-to-evaluate-sentence-similarity-2111.05412</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mnet-sim-a-multi-layered-semantic-similarity-network-to-evaluate-sentence-similarity-2111.05412"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mnet-sim-a-multi-layered-semantic-similarity-network-to-evaluate-sentence-similarity-2111.05412"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-data-compression-for-3d-sparse-tpc-via-bicephalous-convolutional-autoencoder-2111.05423</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-data-compression-for-3d-sparse-tpc-via-bicephalous-convolutional-autoencoder-2111.05423"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-data-compression-for-3d-sparse-tpc-via-bicephalous-convolutional-autoencoder-2111.05423"/></url>
<url><loc>https://scifaro.com/en/abs/distir-an-intermediate-representation-and-simulator-for-efficient-neural-network-distribution-2111.05426</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distir-an-intermediate-representation-and-simulator-for-efficient-neural-network-distribution-2111.05426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distir-an-intermediate-representation-and-simulator-for-efficient-neural-network-distribution-2111.05426"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-instance-and-class-reweighting-for-robust-learning-under-label-noise-2111.05428</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-instance-and-class-reweighting-for-robust-learning-under-label-noise-2111.05428"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-instance-and-class-reweighting-for-robust-learning-under-label-noise-2111.05428"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-prediction-of-clinical-outcomes-in-the-intensive-care-unit-using-flexible-multimodal-transformers-2111.05431</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-prediction-of-clinical-outcomes-in-the-intensive-care-unit-using-flexible-multimodal-transformers-2111.05431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-prediction-of-clinical-outcomes-in-the-intensive-care-unit-using-flexible-multimodal-transformers-2111.05431"/></url>
<url><loc>https://scifaro.com/en/abs/dealing-with-the-unknown-pessimistic-offline-reinforcement-learning-2111.05440</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dealing-with-the-unknown-pessimistic-offline-reinforcement-learning-2111.05440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dealing-with-the-unknown-pessimistic-offline-reinforcement-learning-2111.05440"/></url>
<url><loc>https://scifaro.com/en/abs/dp-rec-private-communication-efficient-federated-learning-2111.05454</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dp-rec-private-communication-efficient-federated-learning-2111.05454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dp-rec-private-communication-efficient-federated-learning-2111.05454"/></url>
<url><loc>https://scifaro.com/en/abs/cross-layered-distributed-data-driven-framework-for-enhanced-smart-grid-cyber-physical-security-2111.05460</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cross-layered-distributed-data-driven-framework-for-enhanced-smart-grid-cyber-physical-security-2111.05460"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cross-layered-distributed-data-driven-framework-for-enhanced-smart-grid-cyber-physical-security-2111.05460"/></url>
<url><loc>https://scifaro.com/en/abs/sgd-through-the-lens-of-kolmogorov-complexity-2111.05478</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sgd-through-the-lens-of-kolmogorov-complexity-2111.05478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sgd-through-the-lens-of-kolmogorov-complexity-2111.05478"/></url>
<url><loc>https://scifaro.com/en/abs/spatially-and-seamlessly-hierarchical-reinforcement-learning-for-state-space-and-policy-space-in-autonomous-driving-2111.05479</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatially-and-seamlessly-hierarchical-reinforcement-learning-for-state-space-and-policy-space-in-autonomous-driving-2111.05479"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatially-and-seamlessly-hierarchical-reinforcement-learning-for-state-space-and-policy-space-in-autonomous-driving-2111.05479"/></url>
<url><loc>https://scifaro.com/en/abs/resnests-and-densenests-block-based-dnn-models-with-improved-representation-guarantees-2111.05496</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resnests-and-densenests-block-based-dnn-models-with-improved-representation-guarantees-2111.05496"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resnests-and-densenests-block-based-dnn-models-with-improved-representation-guarantees-2111.05496"/></url>
<url><loc>https://scifaro.com/en/abs/attention-approximates-sparse-distributed-memory-2111.05498</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-approximates-sparse-distributed-memory-2111.05498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-approximates-sparse-distributed-memory-2111.05498"/></url>
<url><loc>https://scifaro.com/en/abs/dacfl-dynamic-average-consensus-based-federated-learning-in-decentralized-topology-2111.05505</loc><lastmod>2023-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dacfl-dynamic-average-consensus-based-federated-learning-in-decentralized-topology-2111.05505"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dacfl-dynamic-average-consensus-based-federated-learning-in-decentralized-topology-2111.05505"/></url>
<url><loc>https://scifaro.com/en/abs/training-generative-adversarial-networks-with-adaptive-composite-gradient-2111.05508</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-generative-adversarial-networks-with-adaptive-composite-gradient-2111.05508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-generative-adversarial-networks-with-adaptive-composite-gradient-2111.05508"/></url>
<url><loc>https://scifaro.com/en/abs/lightweight-machine-unlearning-in-neural-network-2111.05528</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lightweight-machine-unlearning-in-neural-network-2111.05528"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lightweight-machine-unlearning-in-neural-network-2111.05528"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-the-generalization-benefit-of-model-invariance-from-a-data-perspective-2111.05529</loc><lastmod>2023-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-the-generalization-benefit-of-model-invariance-from-a-data-perspective-2111.05529"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-the-generalization-benefit-of-model-invariance-from-a-data-perspective-2111.05529"/></url>
<url><loc>https://scifaro.com/en/abs/biomarker-gene-identification-for-breast-cancer-classification-2111.05546</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/biomarker-gene-identification-for-breast-cancer-classification-2111.05546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/biomarker-gene-identification-for-breast-cancer-classification-2111.05546"/></url>
<url><loc>https://scifaro.com/en/abs/deducing-optimal-classification-algorithm-for-heterogeneous-fabric-2111.05558</loc><lastmod>2022-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deducing-optimal-classification-algorithm-for-heterogeneous-fabric-2111.05558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deducing-optimal-classification-algorithm-for-heterogeneous-fabric-2111.05558"/></url>
<url><loc>https://scifaro.com/en/abs/topic-aware-latent-models-for-representation-learning-on-networks-2111.05576</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/topic-aware-latent-models-for-representation-learning-on-networks-2111.05576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/topic-aware-latent-models-for-representation-learning-on-networks-2111.05576"/></url>
<url><loc>https://scifaro.com/en/abs/safe-real-time-optimization-using-multi-fidelity-gaussian-processes-2111.05589</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-real-time-optimization-using-multi-fidelity-gaussian-processes-2111.05589"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-real-time-optimization-using-multi-fidelity-gaussian-processes-2111.05589"/></url>
<url><loc>https://scifaro.com/en/abs/graph-transplant-node-saliency-guided-graph-mixup-with-local-structure-preservation-2111.05639</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-transplant-node-saliency-guided-graph-mixup-with-local-structure-preservation-2111.05639"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-transplant-node-saliency-guided-graph-mixup-with-local-structure-preservation-2111.05639"/></url>
<url><loc>https://scifaro.com/en/abs/parallel-physics-informed-neural-networks-with-bidirectional-balance-2111.05641</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parallel-physics-informed-neural-networks-with-bidirectional-balance-2111.05641"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parallel-physics-informed-neural-networks-with-bidirectional-balance-2111.05641"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-alignment-and-uniformity-for-contrastive-learning-with-continuous-proxy-labels-2111.05643</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-alignment-and-uniformity-for-contrastive-learning-with-continuous-proxy-labels-2111.05643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-alignment-and-uniformity-for-contrastive-learning-with-continuous-proxy-labels-2111.05643"/></url>
<url><loc>https://scifaro.com/en/abs/social-fraud-detection-review-methods-challenges-and-analysis-2111.05645</loc><lastmod>2023-01-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/social-fraud-detection-review-methods-challenges-and-analysis-2111.05645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/social-fraud-detection-review-methods-challenges-and-analysis-2111.05645"/></url>
<url><loc>https://scifaro.com/en/abs/decom-decomposed-policy-for-constrained-cooperative-multi-agent-reinforcement-learning-2111.05670</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decom-decomposed-policy-for-constrained-cooperative-multi-agent-reinforcement-learning-2111.05670"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decom-decomposed-policy-for-constrained-cooperative-multi-agent-reinforcement-learning-2111.05670"/></url>
<url><loc>https://scifaro.com/en/abs/automatically-detecting-data-drift-in-machine-learning-classifiers-2111.05672</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatically-detecting-data-drift-in-machine-learning-classifiers-2111.05672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatically-detecting-data-drift-in-machine-learning-classifiers-2111.05672"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-neural-network-training-via-forward-and-backward-propagation-sparsification-2111.05685</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-neural-network-training-via-forward-and-backward-propagation-sparsification-2111.05685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-neural-network-training-via-forward-and-backward-propagation-sparsification-2111.05685"/></url>
<url><loc>https://scifaro.com/en/abs/lsp-acceleration-and-regularization-of-graph-neural-networks-via-locality-sensitive-pruning-of-graphs-2111.05694</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lsp-acceleration-and-regularization-of-graph-neural-networks-via-locality-sensitive-pruning-of-graphs-2111.05694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lsp-acceleration-and-regularization-of-graph-neural-networks-via-locality-sensitive-pruning-of-graphs-2111.05694"/></url>
<url><loc>https://scifaro.com/en/abs/stnn-ddi-a-substructure-aware-tensor-neural-network-to-predict-drug-drug-interactions-2111.05708</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stnn-ddi-a-substructure-aware-tensor-neural-network-to-predict-drug-drug-interactions-2111.05708"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stnn-ddi-a-substructure-aware-tensor-neural-network-to-predict-drug-drug-interactions-2111.05708"/></url>
<url><loc>https://scifaro.com/en/abs/harpo-learning-to-subvert-online-behavioral-advertising-2111.05792</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harpo-learning-to-subvert-online-behavioral-advertising-2111.05792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harpo-learning-to-subvert-online-behavioral-advertising-2111.05792"/></url>
<url><loc>https://scifaro.com/en/abs/gradients-are-not-all-you-need-2111.05803</loc><lastmod>2022-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradients-are-not-all-you-need-2111.05803"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradients-are-not-all-you-need-2111.05803"/></url>
<url><loc>https://scifaro.com/en/abs/swamp-swapped-assignment-of-multi-modal-pairs-for-cross-modal-retrieval-2111.05814</loc><lastmod>2022-10-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/swamp-swapped-assignment-of-multi-modal-pairs-for-cross-modal-retrieval-2111.05814"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/swamp-swapped-assignment-of-multi-modal-pairs-for-cross-modal-retrieval-2111.05814"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-neural-processes-2111.05820</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-neural-processes-2111.05820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-neural-processes-2111.05820"/></url>
<url><loc>https://scifaro.com/en/abs/searching-in-the-forest-for-local-bayesian-optimization-2111.05834</loc><lastmod>2021-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/searching-in-the-forest-for-local-bayesian-optimization-2111.05834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/searching-in-the-forest-for-local-bayesian-optimization-2111.05834"/></url>
<url><loc>https://scifaro.com/en/abs/physics-enhanced-deep-surrogates-for-partial-differential-equations-2111.05841</loc><lastmod>2023-12-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-enhanced-deep-surrogates-for-partial-differential-equations-2111.05841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-enhanced-deep-surrogates-for-partial-differential-equations-2111.05841"/></url>
<url><loc>https://scifaro.com/en/abs/towards-green-automated-machine-learning-status-quo-and-future-directions-2111.05850</loc><lastmod>2023-06-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-green-automated-machine-learning-status-quo-and-future-directions-2111.05850"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-green-automated-machine-learning-status-quo-and-future-directions-2111.05850"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-network-training-with-data-tiering-2111.05894</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-network-training-with-data-tiering-2111.05894"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-network-training-with-data-tiering-2111.05894"/></url>
<url><loc>https://scifaro.com/en/abs/persia-an-open-hybrid-system-scaling-deep-learning-based-recommenders-up-to-100-trillion-parameters-2111.05897</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/persia-an-open-hybrid-system-scaling-deep-learning-based-recommenders-up-to-100-trillion-parameters-2111.05897"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/persia-an-open-hybrid-system-scaling-deep-learning-based-recommenders-up-to-100-trillion-parameters-2111.05897"/></url>
<url><loc>https://scifaro.com/en/abs/recognition-of-patient-groups-with-sleep-related-disorders-using-bio-signal-processing-and-deep-learning-2111.05917</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recognition-of-patient-groups-with-sleep-related-disorders-using-bio-signal-processing-and-deep-learning-2111.05917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recognition-of-patient-groups-with-sleep-related-disorders-using-bio-signal-processing-and-deep-learning-2111.05917"/></url>
<url><loc>https://scifaro.com/en/abs/spa-gcn-efficient-and-flexible-gcn-accelerator-with-an-application-for-graph-similarity-computation-2111.05936</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spa-gcn-efficient-and-flexible-gcn-accelerator-with-an-application-for-graph-similarity-computation-2111.05936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spa-gcn-efficient-and-flexible-gcn-accelerator-with-an-application-for-graph-similarity-computation-2111.05936"/></url>
<url><loc>https://scifaro.com/en/abs/generalizable-cross-graph-embedding-for-gnn-based-congestion-prediction-2111.05941</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizable-cross-graph-embedding-for-gnn-based-congestion-prediction-2111.05941"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizable-cross-graph-embedding-for-gnn-based-congestion-prediction-2111.05941"/></url>
<url><loc>https://scifaro.com/en/abs/how-to-see-hidden-patterns-in-metamaterials-with-interpretable-machine-learning-2111.05949</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-to-see-hidden-patterns-in-metamaterials-with-interpretable-machine-learning-2111.05949"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-to-see-hidden-patterns-in-metamaterials-with-interpretable-machine-learning-2111.05949"/></url>
<url><loc>https://scifaro.com/en/abs/self-compression-in-bayesian-neural-networks-2111.05950</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-compression-in-bayesian-neural-networks-2111.05950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-compression-in-bayesian-neural-networks-2111.05950"/></url>
<url><loc>https://scifaro.com/en/abs/robust-learning-via-ensemble-density-propagation-in-deep-neural-networks-2111.05953</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-learning-via-ensemble-density-propagation-in-deep-neural-networks-2111.05953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-learning-via-ensemble-density-propagation-in-deep-neural-networks-2111.05953"/></url>
<url><loc>https://scifaro.com/en/abs/keys-to-accurate-feature-extraction-using-residual-spiking-neural-networks-2111.05955</loc><lastmod>2022-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/keys-to-accurate-feature-extraction-using-residual-spiking-neural-networks-2111.05955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/keys-to-accurate-feature-extraction-using-residual-spiking-neural-networks-2111.05955"/></url>
<url><loc>https://scifaro.com/en/abs/linear-speedup-in-personalized-collaborative-learning-2111.05968</loc><lastmod>2022-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-speedup-in-personalized-collaborative-learning-2111.05968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-speedup-in-personalized-collaborative-learning-2111.05968"/></url>
<url><loc>https://scifaro.com/en/abs/powergridworld-a-framework-for-multi-agent-reinforcement-learning-in-power-systems-2111.05969</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/powergridworld-a-framework-for-multi-agent-reinforcement-learning-in-power-systems-2111.05969"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/powergridworld-a-framework-for-multi-agent-reinforcement-learning-in-power-systems-2111.05969"/></url>
<url><loc>https://scifaro.com/en/abs/amazon-sagemaker-model-parallelism-a-general-and-flexible-framework-for-large-model-training-2111.05972</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amazon-sagemaker-model-parallelism-a-general-and-flexible-framework-for-large-model-training-2111.05972"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amazon-sagemaker-model-parallelism-a-general-and-flexible-framework-for-large-model-training-2111.05972"/></url>
<url><loc>https://scifaro.com/en/abs/soft-sensing-transformer-hundreds-of-sensors-are-worth-a-single-word-2111.05973</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-sensing-transformer-hundreds-of-sensors-are-worth-a-single-word-2111.05973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-sensing-transformer-hundreds-of-sensors-are-worth-a-single-word-2111.05973"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-the-chess-endgame-problem-using-logistic-regression-decision-trees-and-neural-networks-2111.05976</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-the-chess-endgame-problem-using-logistic-regression-decision-trees-and-neural-networks-2111.05976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-the-chess-endgame-problem-using-logistic-regression-decision-trees-and-neural-networks-2111.05976"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-use-and-misuse-of-absorbing-states-in-multi-agent-reinforcement-learning-2111.05992</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-use-and-misuse-of-absorbing-states-in-multi-agent-reinforcement-learning-2111.05992"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-use-and-misuse-of-absorbing-states-in-multi-agent-reinforcement-learning-2111.05992"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-fake-points-of-interest-from-location-data-2111.06003</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-fake-points-of-interest-from-location-data-2111.06003"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-fake-points-of-interest-from-location-data-2111.06003"/></url>
<url><loc>https://scifaro.com/en/abs/near-optimal-no-regret-learning-for-correlated-equilibria-in-multi-player-general-sum-games-2111.06008</loc><lastmod>2023-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/near-optimal-no-regret-learning-for-correlated-equilibria-in-multi-player-general-sum-games-2111.06008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/near-optimal-no-regret-learning-for-correlated-equilibria-in-multi-player-general-sum-games-2111.06008"/></url>
<url><loc>https://scifaro.com/en/abs/climate-modeling-with-neural-diffusion-equations-2111.06011</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/climate-modeling-with-neural-diffusion-equations-2111.06011"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/climate-modeling-with-neural-diffusion-equations-2111.06011"/></url>
<url><loc>https://scifaro.com/en/abs/hmd-amp-protein-language-powered-hierarchical-multi-label-deep-forest-for-annotating-antimicrobial-peptides-2111.06023</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hmd-amp-protein-language-powered-hierarchical-multi-label-deep-forest-for-annotating-antimicrobial-peptides-2111.06023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hmd-amp-protein-language-powered-hierarchical-multi-label-deep-forest-for-annotating-antimicrobial-peptides-2111.06023"/></url>
<url><loc>https://scifaro.com/en/abs/adapting-surprise-minimizing-reinforcement-learning-techniques-for-transactive-control-2111.06025</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adapting-surprise-minimizing-reinforcement-learning-techniques-for-transactive-control-2111.06025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adapting-surprise-minimizing-reinforcement-learning-techniques-for-transactive-control-2111.06025"/></url>
<url><loc>https://scifaro.com/en/abs/theoretical-exploration-of-flexible-transmitter-model-2111.06027</loc><lastmod>2022-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/theoretical-exploration-of-flexible-transmitter-model-2111.06027"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/theoretical-exploration-of-flexible-transmitter-model-2111.06027"/></url>
<url><loc>https://scifaro.com/en/abs/causal-kl-evaluating-causal-discovery-2111.06029</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-kl-evaluating-causal-discovery-2111.06029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-kl-evaluating-causal-discovery-2111.06029"/></url>
<url><loc>https://scifaro.com/en/abs/benefit-aware-early-prediction-of-health-outcomes-on-multivariate-eeg-time-series-2111.06032</loc><lastmod>2023-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benefit-aware-early-prediction-of-health-outcomes-on-multivariate-eeg-time-series-2111.06032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benefit-aware-early-prediction-of-health-outcomes-on-multivariate-eeg-time-series-2111.06032"/></url>
<url><loc>https://scifaro.com/en/abs/cubetr-learning-to-solve-the-rubiks-cube-using-transformers-2111.06036</loc><lastmod>2023-10-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cubetr-learning-to-solve-the-rubiks-cube-using-transformers-2111.06036"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cubetr-learning-to-solve-the-rubiks-cube-using-transformers-2111.06036"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-stochastic-submodular-maximization-with-state-dependent-costs-2111.06037</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-stochastic-submodular-maximization-with-state-dependent-costs-2111.06037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-stochastic-submodular-maximization-with-state-dependent-costs-2111.06037"/></url>
<url><loc>https://scifaro.com/en/abs/characterization-of-frequent-online-shoppers-using-statistical-learning-with-sparsity-2111.06057</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characterization-of-frequent-online-shoppers-using-statistical-learning-with-sparsity-2111.06057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characterization-of-frequent-online-shoppers-using-statistical-learning-with-sparsity-2111.06057"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-the-power-of-levenberg-marquardt-optimizer-with-anomaly-detection-in-time-series-2111.06060</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-the-power-of-levenberg-marquardt-optimizer-with-anomaly-detection-in-time-series-2111.06060"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-the-power-of-levenberg-marquardt-optimizer-with-anomaly-detection-in-time-series-2111.06060"/></url>
<url><loc>https://scifaro.com/en/abs/edge-cloud-polarization-and-collaboration-a-comprehensive-survey-for-ai-2111.06061</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/edge-cloud-polarization-and-collaboration-a-comprehensive-survey-for-ai-2111.06061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/edge-cloud-polarization-and-collaboration-a-comprehensive-survey-for-ai-2111.06061"/></url>
<url><loc>https://scifaro.com/en/abs/solving-multi-arm-bandit-using-a-few-bits-of-communication-2111.06067</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-multi-arm-bandit-using-a-few-bits-of-communication-2111.06067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-multi-arm-bandit-using-a-few-bits-of-communication-2111.06067"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-data-complexity-using-autoencoders-with-class-informed-loss-functions-2111.06142</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-data-complexity-using-autoencoders-with-class-informed-loss-functions-2111.06142"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-data-complexity-using-autoencoders-with-class-informed-loss-functions-2111.06142"/></url>
<url><loc>https://scifaro.com/en/abs/fedgreen-federated-learning-with-fine-grained-gradient-compression-for-green-mobile-edge-computing-2111.06146</loc><lastmod>2023-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedgreen-federated-learning-with-fine-grained-gradient-compression-for-green-mobile-edge-computing-2111.06146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedgreen-federated-learning-with-fine-grained-gradient-compression-for-green-mobile-edge-computing-2111.06146"/></url>
<url><loc>https://scifaro.com/en/abs/improving-novelty-detection-using-the-reconstructions-of-nearest-neighbours-2111.06150</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-novelty-detection-using-the-reconstructions-of-nearest-neighbours-2111.06150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-novelty-detection-using-the-reconstructions-of-nearest-neighbours-2111.06150"/></url>
<url><loc>https://scifaro.com/en/abs/longitudinal-patient-stratification-of-electronic-health-records-with-flexible-adjustment-for-clinical-outcomes-2111.06152</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/longitudinal-patient-stratification-of-electronic-health-records-with-flexible-adjustment-for-clinical-outcomes-2111.06152"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/longitudinal-patient-stratification-of-electronic-health-records-with-flexible-adjustment-for-clinical-outcomes-2111.06152"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-approach-for-deterioration-and-damage-identification-in-building-structures-based-on-stockwell-transform-and-deep-convolutional-neural-network-2111.06155</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-approach-for-deterioration-and-damage-identification-in-building-structures-based-on-stockwell-transform-and-deep-convolutional-neural-network-2111.06155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-approach-for-deterioration-and-damage-identification-in-building-structures-based-on-stockwell-transform-and-deep-convolutional-neural-network-2111.06155"/></url>
<url><loc>https://scifaro.com/en/abs/training-neural-networks-with-synthetic-electrocardiograms-2111.06175</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-neural-networks-with-synthetic-electrocardiograms-2111.06175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-neural-networks-with-synthetic-electrocardiograms-2111.06175"/></url>
<url><loc>https://scifaro.com/en/abs/boils-bayesian-optimisation-for-logic-synthesis-2111.06178</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/boils-bayesian-optimisation-for-logic-synthesis-2111.06178"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/boils-bayesian-optimisation-for-logic-synthesis-2111.06178"/></url>
<url><loc>https://scifaro.com/en/abs/defining-and-quantifying-the-emergence-of-sparse-concepts-in-dnns-2111.06206</loc><lastmod>2023-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defining-and-quantifying-the-emergence-of-sparse-concepts-in-dnns-2111.06206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defining-and-quantifying-the-emergence-of-sparse-concepts-in-dnns-2111.06206"/></url>
<url><loc>https://scifaro.com/en/abs/discovering-and-explaining-the-representation-bottleneck-of-dnns-2111.06236</loc><lastmod>2022-11-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovering-and-explaining-the-representation-bottleneck-of-dnns-2111.06236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovering-and-explaining-the-representation-bottleneck-of-dnns-2111.06236"/></url>
<url><loc>https://scifaro.com/en/abs/improvements-to-short-term-weather-prediction-with-recurrent-convolutional-networks-2111.06240</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improvements-to-short-term-weather-prediction-with-recurrent-convolutional-networks-2111.06240"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improvements-to-short-term-weather-prediction-with-recurrent-convolutional-networks-2111.06240"/></url>
<url><loc>https://scifaro.com/en/abs/branch-and-bound-in-mixed-integer-linear-programming-problems-a-survey-of-techniques-and-trends-2111.06257</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/branch-and-bound-in-mixed-integer-linear-programming-problems-a-survey-of-techniques-and-trends-2111.06257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/branch-and-bound-in-mixed-integer-linear-programming-problems-a-survey-of-techniques-and-trends-2111.06257"/></url>
<url><loc>https://scifaro.com/en/abs/learning-via-long-short-term-memory-lstm-network-for-predicting-strains-in-railway-bridge-members-under-train-induced-vibration-2111.06259</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-via-long-short-term-memory-lstm-network-for-predicting-strains-in-railway-bridge-members-under-train-induced-vibration-2111.06259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-via-long-short-term-memory-lstm-network-for-predicting-strains-in-railway-bridge-members-under-train-induced-vibration-2111.06259"/></url>
<url><loc>https://scifaro.com/en/abs/alphadda-strategies-for-adjusting-the-playing-strength-of-a-fully-trained-alphazero-system-to-a-suitable-human-training-partner-2111.06266</loc><lastmod>2022-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alphadda-strategies-for-adjusting-the-playing-strength-of-a-fully-trained-alphazero-system-to-a-suitable-human-training-partner-2111.06266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alphadda-strategies-for-adjusting-the-playing-strength-of-a-fully-trained-alphazero-system-to-a-suitable-human-training-partner-2111.06266"/></url>
<url><loc>https://scifaro.com/en/abs/raman-spectroscopy-in-open-world-learning-settings-using-the-objectosphere-approach-2111.06268</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/raman-spectroscopy-in-open-world-learning-settings-using-the-objectosphere-approach-2111.06268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/raman-spectroscopy-in-open-world-learning-settings-using-the-objectosphere-approach-2111.06268"/></url>
<url><loc>https://scifaro.com/en/abs/dropgnn-random-dropouts-increase-the-expressiveness-of-graph-neural-networks-2111.06283</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dropgnn-random-dropouts-increase-the-expressiveness-of-graph-neural-networks-2111.06283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dropgnn-random-dropouts-increase-the-expressiveness-of-graph-neural-networks-2111.06283"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-svd-for-graph-representation-learning-2111.06312</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-svd-for-graph-representation-learning-2111.06312"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-svd-for-graph-representation-learning-2111.06312"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-reinforcement-learning-for-cooperative-lane-changing-of-connected-and-autonomous-vehicles-in-mixed-traffic-2111.06318</loc><lastmod>2024-01-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-reinforcement-learning-for-cooperative-lane-changing-of-connected-and-autonomous-vehicles-in-mixed-traffic-2111.06318"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-reinforcement-learning-for-cooperative-lane-changing-of-connected-and-autonomous-vehicles-in-mixed-traffic-2111.06318"/></url>
<url><loc>https://scifaro.com/en/abs/stationary-behavior-of-constant-stepsize-sgd-type-algorithms-an-asymptotic-characterization-2111.06328</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stationary-behavior-of-constant-stepsize-sgd-type-algorithms-an-asymptotic-characterization-2111.06328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stationary-behavior-of-constant-stepsize-sgd-type-algorithms-an-asymptotic-characterization-2111.06328"/></url>
<url><loc>https://scifaro.com/en/abs/poisoning-knowledge-graph-embeddings-via-relation-inference-patterns-2111.06345</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/poisoning-knowledge-graph-embeddings-via-relation-inference-patterns-2111.06345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/poisoning-knowledge-graph-embeddings-via-relation-inference-patterns-2111.06345"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-mistakes-a-framework-for-neural-architecture-search-2111.06353</loc><lastmod>2022-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-mistakes-a-framework-for-neural-architecture-search-2111.06353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-mistakes-a-framework-for-neural-architecture-search-2111.06353"/></url>
<url><loc>https://scifaro.com/en/abs/distilling-motion-planner-augmented-policies-into-visual-control-policies-for-robot-manipulation-2111.06383</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilling-motion-planner-augmented-policies-into-visual-control-policies-for-robot-manipulation-2111.06383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilling-motion-planner-augmented-policies-into-visual-control-policies-for-robot-manipulation-2111.06383"/></url>
<url><loc>https://scifaro.com/en/abs/learning-signal-agnostic-manifolds-of-neural-fields-2111.06387</loc><lastmod>2021-11-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-signal-agnostic-manifolds-of-neural-fields-2111.06387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-signal-agnostic-manifolds-of-neural-fields-2111.06387"/></url>
<url><loc>https://scifaro.com/en/abs/online-compatible-unsupervised-non-resonant-anomaly-detection-2111.06417</loc><lastmod>2022-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-compatible-unsupervised-non-resonant-anomaly-detection-2111.06417"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-compatible-unsupervised-non-resonant-anomaly-detection-2111.06417"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-ai-xai-a-systematic-meta-survey-of-current-challenges-and-future-opportunities-2111.06420</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-ai-xai-a-systematic-meta-survey-of-current-challenges-and-future-opportunities-2111.06420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-ai-xai-a-systematic-meta-survey-of-current-challenges-and-future-opportunities-2111.06420"/></url>
<url><loc>https://scifaro.com/en/abs/observation-error-covariance-specification-in-dynamical-systems-for-data-assimilation-using-recurrent-neural-networks-2111.06447</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/observation-error-covariance-specification-in-dynamical-systems-for-data-assimilation-using-recurrent-neural-networks-2111.06447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/observation-error-covariance-specification-in-dynamical-systems-for-data-assimilation-using-recurrent-neural-networks-2111.06447"/></url>
<url><loc>https://scifaro.com/en/abs/variability-aware-training-and-self-tuning-of-highly-quantized-dnns-for-analog-pim-2111.06457</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variability-aware-training-and-self-tuning-of-highly-quantized-dnns-for-analog-pim-2111.06457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variability-aware-training-and-self-tuning-of-highly-quantized-dnns-for-analog-pim-2111.06457"/></url>
<url><loc>https://scifaro.com/en/abs/catalytic-role-of-noise-and-necessity-of-inductive-biases-in-the-emergence-of-compositional-communication-2111.06464</loc><lastmod>2024-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/catalytic-role-of-noise-and-necessity-of-inductive-biases-in-the-emergence-of-compositional-communication-2111.06464"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/catalytic-role-of-noise-and-necessity-of-inductive-biases-in-the-emergence-of-compositional-communication-2111.06464"/></url>
<url><loc>https://scifaro.com/en/abs/automated-question-generation-and-question-answering-from-turkish-texts-2111.06476</loc><lastmod>2022-04-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-question-generation-and-question-answering-from-turkish-texts-2111.06476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-question-generation-and-question-answering-from-turkish-texts-2111.06476"/></url>
<url><loc>https://scifaro.com/en/abs/sequential-aggregation-and-rematerialization-distributed-full-batch-training-of-graph-neural-networks-on-large-graphs-2111.06483</loc><lastmod>2022-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sequential-aggregation-and-rematerialization-distributed-full-batch-training-of-graph-neural-networks-on-large-graphs-2111.06483"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sequential-aggregation-and-rematerialization-distributed-full-batch-training-of-graph-neural-networks-on-large-graphs-2111.06483"/></url>
<url><loc>https://scifaro.com/en/abs/variational-auto-encoder-architectures-that-excel-at-causal-inference-2111.06486</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-auto-encoder-architectures-that-excel-at-causal-inference-2111.06486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-auto-encoder-architectures-that-excel-at-causal-inference-2111.06486"/></url>
<url><loc>https://scifaro.com/en/abs/fairautoml-embracing-unfairness-mitigation-in-automl-2111.06495</loc><lastmod>2022-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairautoml-embracing-unfairness-mitigation-in-automl-2111.06495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairautoml-embracing-unfairness-mitigation-in-automl-2111.06495"/></url>
<url><loc>https://scifaro.com/en/abs/an-enhanced-adaptive-bi-clustering-algorithm-through-building-a-shielding-complex-sub-matrix-2111.06524</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-enhanced-adaptive-bi-clustering-algorithm-through-building-a-shielding-complex-sub-matrix-2111.06524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-enhanced-adaptive-bi-clustering-algorithm-through-building-a-shielding-complex-sub-matrix-2111.06524"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-sparse-regression-via-penalization-2111.06530</loc><lastmod>2023-06-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-sparse-regression-via-penalization-2111.06530"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-sparse-regression-via-penalization-2111.06530"/></url>
<url><loc>https://scifaro.com/en/abs/nonlinear-tensor-ring-network-2111.06532</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonlinear-tensor-ring-network-2111.06532"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonlinear-tensor-ring-network-2111.06532"/></url>
<url><loc>https://scifaro.com/en/abs/multi-step-budgeted-bayesian-optimization-with-unknown-evaluation-costs-2111.06537</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-step-budgeted-bayesian-optimization-with-unknown-evaluation-costs-2111.06537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-step-budgeted-bayesian-optimization-with-unknown-evaluation-costs-2111.06537"/></url>
<url><loc>https://scifaro.com/en/abs/approximating-optimal-transport-via-low-rank-and-sparse-factorization-2111.06546</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximating-optimal-transport-via-low-rank-and-sparse-factorization-2111.06546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximating-optimal-transport-via-low-rank-and-sparse-factorization-2111.06546"/></url>
<url><loc>https://scifaro.com/en/abs/bi-discriminator-class-conditional-tabular-gan-2111.06549</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bi-discriminator-class-conditional-tabular-gan-2111.06549"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bi-discriminator-class-conditional-tabular-gan-2111.06549"/></url>
<url><loc>https://scifaro.com/en/abs/learning-quantile-functions-without-quantile-crossing-for-distribution-free-time-series-forecasting-2111.06581</loc><lastmod>2022-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-quantile-functions-without-quantile-crossing-for-distribution-free-time-series-forecasting-2111.06581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-quantile-functions-without-quantile-crossing-for-distribution-free-time-series-forecasting-2111.06581"/></url>
<url><loc>https://scifaro.com/en/abs/anchorgae-general-data-clustering-via-o-n-bipartite-graph-convolution-2111.06586</loc><lastmod>2022-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anchorgae-general-data-clustering-via-o-n-bipartite-graph-convolution-2111.06586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anchorgae-general-data-clustering-via-o-n-bipartite-graph-convolution-2111.06586"/></url>
<url><loc>https://scifaro.com/en/abs/implicit-vs-unfolded-graph-neural-networks-2111.06592</loc><lastmod>2025-05-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/implicit-vs-unfolded-graph-neural-networks-2111.06592"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/implicit-vs-unfolded-graph-neural-networks-2111.06592"/></url>
<url><loc>https://scifaro.com/en/abs/collaboration-promotes-group-resilience-in-multi-agent-rl-2111.06614</loc><lastmod>2025-07-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaboration-promotes-group-resilience-in-multi-agent-rl-2111.06614"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaboration-promotes-group-resilience-in-multi-agent-rl-2111.06614"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-break-deep-perceptual-hashing-the-use-case-neuralhash-2111.06628</loc><lastmod>2024-07-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-break-deep-perceptual-hashing-the-use-case-neuralhash-2111.06628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-break-deep-perceptual-hashing-the-use-case-neuralhash-2111.06628"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-quality-problems-in-data-models-by-clustering-heterogeneous-data-values-2111.06661</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-quality-problems-in-data-models-by-clustering-heterogeneous-data-values-2111.06661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-quality-problems-in-data-models-by-clustering-heterogeneous-data-values-2111.06661"/></url>
<url><loc>https://scifaro.com/en/abs/deepstruct-linking-deep-learning-and-graph-theory-2111.06679</loc><lastmod>2021-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepstruct-linking-deep-learning-and-graph-theory-2111.06679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepstruct-linking-deep-learning-and-graph-theory-2111.06679"/></url>
<url><loc>https://scifaro.com/en/abs/deep-reinforcement-model-selection-for-communications-resource-allocation-in-on-site-medical-care-2111.06680</loc><lastmod>2022-01-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-reinforcement-model-selection-for-communications-resource-allocation-in-on-site-medical-care-2111.06680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-reinforcement-model-selection-for-communications-resource-allocation-in-on-site-medical-care-2111.06680"/></url>
<url><loc>https://scifaro.com/en/abs/deepxml-a-deep-extreme-multi-label-learning-framework-applied-to-short-text-documents-2111.06685</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepxml-a-deep-extreme-multi-label-learning-framework-applied-to-short-text-documents-2111.06685"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepxml-a-deep-extreme-multi-label-learning-framework-applied-to-short-text-documents-2111.06685"/></url>
<url><loc>https://scifaro.com/en/abs/bsc-block-based-stochastic-computing-to-enable-accurate-and-efficient-tinyml-2111.06686</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bsc-block-based-stochastic-computing-to-enable-accurate-and-efficient-tinyml-2111.06686"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bsc-block-based-stochastic-computing-to-enable-accurate-and-efficient-tinyml-2111.06686"/></url>
<url><loc>https://scifaro.com/en/abs/causal-multi-agent-reinforcement-learning-review-and-open-problems-2111.06721</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-multi-agent-reinforcement-learning-review-and-open-problems-2111.06721"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-multi-agent-reinforcement-learning-review-and-open-problems-2111.06721"/></url>
<url><loc>https://scifaro.com/en/abs/mobility-prediction-based-on-machine-learning-algorithms-2111.06723</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mobility-prediction-based-on-machine-learning-algorithms-2111.06723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mobility-prediction-based-on-machine-learning-algorithms-2111.06723"/></url>
<url><loc>https://scifaro.com/en/abs/the-science-of-rejection-a-research-area-for-human-computation-2111.06736</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-science-of-rejection-a-research-area-for-human-computation-2111.06736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-science-of-rejection-a-research-area-for-human-computation-2111.06736"/></url>
<url><loc>https://scifaro.com/en/abs/review-of-pedestrian-trajectory-prediction-methods-comparing-deep-learning-and-knowledge-based-approaches-2111.06740</loc><lastmod>2022-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/review-of-pedestrian-trajectory-prediction-methods-comparing-deep-learning-and-knowledge-based-approaches-2111.06740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/review-of-pedestrian-trajectory-prediction-methods-comparing-deep-learning-and-knowledge-based-approaches-2111.06740"/></url>
<url><loc>https://scifaro.com/en/abs/stfl-a-temporal-spatial-federated-learning-framework-for-graph-neural-networks-2111.06750</loc><lastmod>2022-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stfl-a-temporal-spatial-federated-learning-framework-for-graph-neural-networks-2111.06750"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stfl-a-temporal-spatial-federated-learning-framework-for-graph-neural-networks-2111.06750"/></url>
<url><loc>https://scifaro.com/en/abs/resilient-consensus-based-multi-agent-reinforcement-learning-with-function-approximation-2111.06776</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resilient-consensus-based-multi-agent-reinforcement-learning-with-function-approximation-2111.06776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resilient-consensus-based-multi-agent-reinforcement-learning-with-function-approximation-2111.06776"/></url>
<url><loc>https://scifaro.com/en/abs/awd3-dynamic-reduction-of-the-estimation-bias-2111.06780</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/awd3-dynamic-reduction-of-the-estimation-bias-2111.06780"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/awd3-dynamic-reduction-of-the-estimation-bias-2111.06780"/></url>
<url><loc>https://scifaro.com/en/abs/q-learning-for-mdps-with-general-spaces-convergence-and-near-optimality-via-quantization-under-weak-continuity-2111.06781</loc><lastmod>2023-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/q-learning-for-mdps-with-general-spaces-convergence-and-near-optimality-via-quantization-under-weak-continuity-2111.06781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/q-learning-for-mdps-with-general-spaces-convergence-and-near-optimality-via-quantization-under-weak-continuity-2111.06781"/></url>
<url><loc>https://scifaro.com/en/abs/can-neural-networks-predict-dynamics-they-have-never-seen-2111.06783</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/can-neural-networks-predict-dynamics-they-have-never-seen-2111.06783"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/can-neural-networks-predict-dynamics-they-have-never-seen-2111.06783"/></url>
<url><loc>https://scifaro.com/en/abs/a-minimax-learning-approach-to-off-policy-evaluation-in-confounded-partially-observable-markov-decision-processes-2111.06784</loc><lastmod>2022-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-minimax-learning-approach-to-off-policy-evaluation-in-confounded-partially-observable-markov-decision-processes-2111.06784"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-minimax-learning-approach-to-off-policy-evaluation-in-confounded-partially-observable-markov-decision-processes-2111.06784"/></url>
<url><loc>https://scifaro.com/en/abs/adcb-an-alzheimer-s-disease-benchmark-for-evaluating-observational-estimators-of-causal-effects-2111.06811</loc><lastmod>2021-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adcb-an-alzheimer-s-disease-benchmark-for-evaluating-observational-estimators-of-causal-effects-2111.06811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adcb-an-alzheimer-s-disease-benchmark-for-evaluating-observational-estimators-of-causal-effects-2111.06811"/></url>
<url><loc>https://scifaro.com/en/abs/a-posteriori-learning-of-quasi-geostrophic-turbulence-parametrization-an-experiment-on-integration-steps-2111.06841</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-posteriori-learning-of-quasi-geostrophic-turbulence-parametrization-an-experiment-on-integration-steps-2111.06841"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-posteriori-learning-of-quasi-geostrophic-turbulence-parametrization-an-experiment-on-integration-steps-2111.06841"/></url>
<url><loc>https://scifaro.com/en/abs/silicon-photonic-architecture-for-training-deep-neural-networks-with-direct-feedback-alignment-2111.06862</loc><lastmod>2022-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/silicon-photonic-architecture-for-training-deep-neural-networks-with-direct-feedback-alignment-2111.06862"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/silicon-photonic-architecture-for-training-deep-neural-networks-with-direct-feedback-alignment-2111.06862"/></url>
<url><loc>https://scifaro.com/en/abs/learning-generalized-gumbel-max-causal-mechanisms-2111.06888</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-generalized-gumbel-max-causal-mechanisms-2111.06888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-generalized-gumbel-max-causal-mechanisms-2111.06888"/></url>
<url><loc>https://scifaro.com/en/abs/drivergym-democratising-reinforcement-learning-for-autonomous-driving-2111.06889</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/drivergym-democratising-reinforcement-learning-for-autonomous-driving-2111.06889"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/drivergym-democratising-reinforcement-learning-for-autonomous-driving-2111.06889"/></url>
<url><loc>https://scifaro.com/en/abs/improving-experience-replay-through-modeling-of-similar-transitions-sets-2111.06907</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-experience-replay-through-modeling-of-similar-transitions-sets-2111.06907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-experience-replay-through-modeling-of-similar-transitions-sets-2111.06907"/></url>
<url><loc>https://scifaro.com/en/abs/a-simple-and-fast-baseline-for-tuning-large-xgboost-models-2111.06924</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-simple-and-fast-baseline-for-tuning-large-xgboost-models-2111.06924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-simple-and-fast-baseline-for-tuning-large-xgboost-models-2111.06924"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-bayesian-bandits-2111.06929</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-bayesian-bandits-2111.06929"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-bayesian-bandits-2111.06929"/></url>
<url><loc>https://scifaro.com/en/abs/predictive-coding-precision-and-natural-gradients-2111.06942</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predictive-coding-precision-and-natural-gradients-2111.06942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predictive-coding-precision-and-natural-gradients-2111.06942"/></url>
<url><loc>https://scifaro.com/en/abs/learning-interpretation-with-explainable-knowledge-distillation-2111.06945</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-interpretation-with-explainable-knowledge-distillation-2111.06945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-interpretation-with-explainable-knowledge-distillation-2111.06945"/></url>
<url><loc>https://scifaro.com/en/abs/human-irrationality-both-bad-and-good-for-reward-inference-2111.06956</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/human-irrationality-both-bad-and-good-for-reward-inference-2111.06956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/human-irrationality-both-bad-and-good-for-reward-inference-2111.06956"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-diverse-model-selection-for-accessible-transfer-learning-2111.06977</loc><lastmod>2022-01-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-diverse-model-selection-for-accessible-transfer-learning-2111.06977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-diverse-model-selection-for-accessible-transfer-learning-2111.06977"/></url>
<url><loc>https://scifaro.com/en/abs/grassnet-graph-soft-sensing-neural-networks-2111.06980</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grassnet-graph-soft-sensing-neural-networks-2111.06980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grassnet-graph-soft-sensing-neural-networks-2111.06980"/></url>
<url><loc>https://scifaro.com/en/abs/soft-sensing-conformer-a-curriculum-learning-based-convolutional-transformer-2111.06981</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-sensing-conformer-a-curriculum-learning-based-convolutional-transformer-2111.06981"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-sensing-conformer-a-curriculum-learning-based-convolutional-transformer-2111.06981"/></url>
<url><loc>https://scifaro.com/en/abs/soft-sensing-model-visualization-fine-tuning-neural-network-from-what-model-learned-2111.06982</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/soft-sensing-model-visualization-fine-tuning-neural-network-from-what-model-learned-2111.06982"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/soft-sensing-model-visualization-fine-tuning-neural-network-from-what-model-learned-2111.06982"/></url>
<url><loc>https://scifaro.com/en/abs/lomef-a-framework-to-produce-local-explanations-for-global-model-time-series-forecasts-2111.07001</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lomef-a-framework-to-produce-local-explanations-for-global-model-time-series-forecasts-2111.07001"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lomef-a-framework-to-produce-local-explanations-for-global-model-time-series-forecasts-2111.07001"/></url>
<url><loc>https://scifaro.com/en/abs/hydragan-a-multi-head-multi-objective-approach-to-synthetic-data-generation-2111.07015</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hydragan-a-multi-head-multi-objective-approach-to-synthetic-data-generation-2111.07015"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hydragan-a-multi-head-multi-objective-approach-to-synthetic-data-generation-2111.07015"/></url>
<url><loc>https://scifaro.com/en/abs/identification-and-adaptive-control-of-markov-jump-systems-sample-complexity-and-regret-bounds-2111.07018</loc><lastmod>2025-10-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-and-adaptive-control-of-markov-jump-systems-sample-complexity-and-regret-bounds-2111.07018"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-and-adaptive-control-of-markov-jump-systems-sample-complexity-and-regret-bounds-2111.07018"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-evolve-on-dynamic-graphs-2111.07032</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-evolve-on-dynamic-graphs-2111.07032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-evolve-on-dynamic-graphs-2111.07032"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-the-contribution-of-multiple-model-representations-in-detecting-adversarial-instances-2111.07035</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-the-contribution-of-multiple-model-representations-in-detecting-adversarial-instances-2111.07035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-the-contribution-of-multiple-model-representations-in-detecting-adversarial-instances-2111.07035"/></url>
<url><loc>https://scifaro.com/en/abs/iterative-training-finding-binary-weight-deep-neural-networks-with-layer-binarization-2111.07046</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iterative-training-finding-binary-weight-deep-neural-networks-with-layer-binarization-2111.07046"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iterative-training-finding-binary-weight-deep-neural-networks-with-layer-binarization-2111.07046"/></url>
<url><loc>https://scifaro.com/en/abs/bolstering-stochastic-gradient-descent-with-model-building-2111.07058</loc><lastmod>2024-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bolstering-stochastic-gradient-descent-with-model-building-2111.07058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bolstering-stochastic-gradient-descent-with-model-building-2111.07058"/></url>
<url><loc>https://scifaro.com/en/abs/memotion-analysis-through-the-lens-of-joint-embedding-2111.07074</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/memotion-analysis-through-the-lens-of-joint-embedding-2111.07074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/memotion-analysis-through-the-lens-of-joint-embedding-2111.07074"/></url>
<url><loc>https://scifaro.com/en/abs/learning-data-teaching-strategies-via-knowledge-tracing-2111.07083</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-data-teaching-strategies-via-knowledge-tracing-2111.07083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-data-teaching-strategies-via-knowledge-tracing-2111.07083"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-contrastive-learning-on-wearable-timeseries-for-downstream-clinical-outcomes-2111.07089</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-contrastive-learning-on-wearable-timeseries-for-downstream-clinical-outcomes-2111.07089"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-contrastive-learning-on-wearable-timeseries-for-downstream-clinical-outcomes-2111.07089"/></url>
<url><loc>https://scifaro.com/en/abs/nystr-o-m-regularization-for-time-series-forecasting-2111.07109</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nystr-o-m-regularization-for-time-series-forecasting-2111.07109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nystr-o-m-regularization-for-time-series-forecasting-2111.07109"/></url>
<url><loc>https://scifaro.com/en/abs/mc-cim-compute-in-memory-with-monte-carlo-dropouts-for-bayesian-edge-intelligence-2111.07125</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mc-cim-compute-in-memory-with-monte-carlo-dropouts-for-bayesian-edge-intelligence-2111.07125"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mc-cim-compute-in-memory-with-monte-carlo-dropouts-for-bayesian-edge-intelligence-2111.07125"/></url>
<url><loc>https://scifaro.com/en/abs/towards-one-shot-search-space-poisoning-in-neural-architecture-search-2111.07138</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-one-shot-search-space-poisoning-in-neural-architecture-search-2111.07138"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-one-shot-search-space-poisoning-in-neural-architecture-search-2111.07138"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-binary-embedding-of-categorical-data-using-binsketch-2111.07163</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-binary-embedding-of-categorical-data-using-binsketch-2111.07163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-binary-embedding-of-categorical-data-using-binsketch-2111.07163"/></url>
<url><loc>https://scifaro.com/en/abs/learning-neural-models-for-continuous-time-sequences-2111.07189</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-neural-models-for-continuous-time-sequences-2111.07189"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-neural-models-for-continuous-time-sequences-2111.07189"/></url>
<url><loc>https://scifaro.com/en/abs/curriculum-learning-for-vision-and-language-navigation-2111.07228</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curriculum-learning-for-vision-and-language-navigation-2111.07228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curriculum-learning-for-vision-and-language-navigation-2111.07228"/></url>
<url><loc>https://scifaro.com/en/abs/p-laplacian-based-graph-neural-networks-2111.07337</loc><lastmod>2022-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/p-laplacian-based-graph-neural-networks-2111.07337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/p-laplacian-based-graph-neural-networks-2111.07337"/></url>
<url><loc>https://scifaro.com/en/abs/invariant-risk-minimisation-for-cross-organism-inference-substituting-mouse-data-for-human-data-in-human-risk-factor-discovery-2111.07348</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/invariant-risk-minimisation-for-cross-organism-inference-substituting-mouse-data-for-human-data-in-human-risk-factor-discovery-2111.07348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/invariant-risk-minimisation-for-cross-organism-inference-substituting-mouse-data-for-human-data-in-human-risk-factor-discovery-2111.07348"/></url>
<url><loc>https://scifaro.com/en/abs/a-robust-unsupervised-ensemble-of-feature-based-explanations-using-restricted-boltzmann-machines-2111.07379</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-robust-unsupervised-ensemble-of-feature-based-explanations-using-restricted-boltzmann-machines-2111.07379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-robust-unsupervised-ensemble-of-feature-based-explanations-using-restricted-boltzmann-machines-2111.07379"/></url>
<url><loc>https://scifaro.com/en/abs/eluding-secure-aggregation-in-federated-learning-via-model-inconsistency-2111.07380</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eluding-secure-aggregation-in-federated-learning-via-model-inconsistency-2111.07380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eluding-secure-aggregation-in-federated-learning-via-model-inconsistency-2111.07380"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-cost-sensitive-learning-in-neural-networks-for-misclassification-cost-problems-2111.07382</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-cost-sensitive-learning-in-neural-networks-for-misclassification-cost-problems-2111.07382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-cost-sensitive-learning-in-neural-networks-for-misclassification-cost-problems-2111.07382"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-ecg-classification-via-a-query-based-latent-space-traversal-qlst-2111.07386</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-ecg-classification-via-a-query-based-latent-space-traversal-qlst-2111.07386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-ecg-classification-via-a-query-based-latent-space-traversal-qlst-2111.07386"/></url>
<url><loc>https://scifaro.com/en/abs/explicit-explore-exploit-or-escape-e-4-near-optimal-safety-constrained-reinforcement-learning-in-polynomial-time-2111.07395</loc><lastmod>2022-06-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explicit-explore-exploit-or-escape-e-4-near-optimal-safety-constrained-reinforcement-learning-in-polynomial-time-2111.07395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explicit-explore-exploit-or-escape-e-4-near-optimal-safety-constrained-reinforcement-learning-in-polynomial-time-2111.07395"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-approach-for-recruitment-prediction-in-clinical-trial-design-2111.07407</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-approach-for-recruitment-prediction-in-clinical-trial-design-2111.07407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-approach-for-recruitment-prediction-in-clinical-trial-design-2111.07407"/></url>
<url><loc>https://scifaro.com/en/abs/safe-online-convex-optimization-with-unknown-linear-safety-constraints-2111.07430</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/safe-online-convex-optimization-with-unknown-linear-safety-constraints-2111.07430"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/safe-online-convex-optimization-with-unknown-linear-safety-constraints-2111.07430"/></url>
<url><loc>https://scifaro.com/en/abs/improving-compound-activity-classification-via-deep-transfer-and-representation-learning-2111.07439</loc><lastmod>2022-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-compound-activity-classification-via-deep-transfer-and-representation-learning-2111.07439"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-compound-activity-classification-via-deep-transfer-and-representation-learning-2111.07439"/></url>
<url><loc>https://scifaro.com/en/abs/had-net-hybrid-attention-based-diffusion-network-for-glucose-level-forecast-2111.07455</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/had-net-hybrid-attention-based-diffusion-network-for-glucose-level-forecast-2111.07455"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/had-net-hybrid-attention-based-diffusion-network-for-glucose-level-forecast-2111.07455"/></url>
<url><loc>https://scifaro.com/en/abs/attentive-federated-learning-for-concept-drift-in-distributed-5g-edge-networks-2111.07457</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attentive-federated-learning-for-concept-drift-in-distributed-5g-edge-networks-2111.07457"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attentive-federated-learning-for-concept-drift-in-distributed-5g-edge-networks-2111.07457"/></url>
<url><loc>https://scifaro.com/en/abs/mean-based-best-arm-identification-in-stochastic-bandits-under-reward-contamination-2111.07458</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mean-based-best-arm-identification-in-stochastic-bandits-under-reward-contamination-2111.07458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mean-based-best-arm-identification-in-stochastic-bandits-under-reward-contamination-2111.07458"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-hyperparameter-based-clustering-for-electrical-load-forecasting-2111.07462</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-hyperparameter-based-clustering-for-electrical-load-forecasting-2111.07462"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-hyperparameter-based-clustering-for-electrical-load-forecasting-2111.07462"/></url>
<url><loc>https://scifaro.com/en/abs/skillful-twelve-hour-precipitation-forecasts-using-large-context-neural-networks-2111.07470</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/skillful-twelve-hour-precipitation-forecasts-using-large-context-neural-networks-2111.07470"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/skillful-twelve-hour-precipitation-forecasts-using-large-context-neural-networks-2111.07470"/></url>
<url><loc>https://scifaro.com/en/abs/power-allocation-for-wireless-federated-learning-using-graph-neural-networks-2111.07480</loc><lastmod>2022-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/power-allocation-for-wireless-federated-learning-using-graph-neural-networks-2111.07480"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/power-allocation-for-wireless-federated-learning-using-graph-neural-networks-2111.07480"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-urban-vehicle-trajectory-analytics-2111.07489</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-urban-vehicle-trajectory-analytics-2111.07489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-urban-vehicle-trajectory-analytics-2111.07489"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-for-internet-of-things-applications-challenges-and-opportunities-2111.07494</loc><lastmod>2022-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-for-internet-of-things-applications-challenges-and-opportunities-2111.07494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-for-internet-of-things-applications-challenges-and-opportunities-2111.07494"/></url>
<url><loc>https://scifaro.com/en/abs/public-policymaking-for-international-agricultural-trade-using-association-rules-and-ensemble-machine-learning-2111.07508</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/public-policymaking-for-international-agricultural-trade-using-association-rules-and-ensemble-machine-learning-2111.07508"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/public-policymaking-for-international-agricultural-trade-using-association-rules-and-ensemble-machine-learning-2111.07508"/></url>
<url><loc>https://scifaro.com/en/abs/a-comparative-study-on-basic-elements-of-deep-learning-models-for-spatial-temporal-traffic-forecasting-2111.07513</loc><lastmod>2022-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comparative-study-on-basic-elements-of-deep-learning-models-for-spatial-temporal-traffic-forecasting-2111.07513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comparative-study-on-basic-elements-of-deep-learning-models-for-spatial-temporal-traffic-forecasting-2111.07513"/></url>
<url><loc>https://scifaro.com/en/abs/dnn-gradient-lossless-compression-can-gennorm-be-the-answer-2111.07599</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dnn-gradient-lossless-compression-can-gennorm-be-the-answer-2111.07599"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dnn-gradient-lossless-compression-can-gennorm-be-the-answer-2111.07599"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-transform-forms-scalable-transformer-2111.07602</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-transform-forms-scalable-transformer-2111.07602"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-transform-forms-scalable-transformer-2111.07602"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-temporal-point-processes-2111.07603</loc><lastmod>2022-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-temporal-point-processes-2111.07603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-temporal-point-processes-2111.07603"/></url>
<url><loc>https://scifaro.com/en/abs/generate-plane-quad-mesh-with-neural-networks-and-tree-search-2111.07613</loc><lastmod>2023-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generate-plane-quad-mesh-with-neural-networks-and-tree-search-2111.07613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generate-plane-quad-mesh-with-neural-networks-and-tree-search-2111.07613"/></url>
<url><loc>https://scifaro.com/en/abs/optimism-and-delays-in-episodic-reinforcement-learning-2111.07615</loc><lastmod>2023-04-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimism-and-delays-in-episodic-reinforcement-learning-2111.07615"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimism-and-delays-in-episodic-reinforcement-learning-2111.07615"/></url>
<url><loc>https://scifaro.com/en/abs/versatile-inverse-reinforcement-learning-via-cumulative-rewards-2111.07667</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/versatile-inverse-reinforcement-learning-via-cumulative-rewards-2111.07667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/versatile-inverse-reinforcement-learning-via-cumulative-rewards-2111.07667"/></url>
<url><loc>https://scifaro.com/en/abs/fast-axiomatic-attribution-for-neural-networks-2111.07668</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-axiomatic-attribution-for-neural-networks-2111.07668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-axiomatic-attribution-for-neural-networks-2111.07668"/></url>
<url><loc>https://scifaro.com/en/abs/neuralpde-modelling-dynamical-systems-from-data-2111.07671</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuralpde-modelling-dynamical-systems-from-data-2111.07671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuralpde-modelling-dynamical-systems-from-data-2111.07671"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-quarantine-model-to-secure-data-in-edge-computing-2111.07672</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-quarantine-model-to-secure-data-in-edge-computing-2111.07672"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-quarantine-model-to-secure-data-in-edge-computing-2111.07672"/></url>
<url><loc>https://scifaro.com/en/abs/autogmap-learning-to-map-large-scale-sparse-graphs-on-memristive-crossbars-2111.07684</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autogmap-learning-to-map-large-scale-sparse-graphs-on-memristive-crossbars-2111.07684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autogmap-learning-to-map-large-scale-sparse-graphs-on-memristive-crossbars-2111.07684"/></url>
<url><loc>https://scifaro.com/en/abs/joint-synthesis-of-safety-certificate-and-safe-control-policy-using-constrained-reinforcement-learning-2111.07695</loc><lastmod>2022-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-synthesis-of-safety-certificate-and-safe-control-policy-using-constrained-reinforcement-learning-2111.07695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-synthesis-of-safety-certificate-and-safe-control-policy-using-constrained-reinforcement-learning-2111.07695"/></url>
<url><loc>https://scifaro.com/en/abs/continual-learning-via-local-module-composition-2111.07736</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continual-learning-via-local-module-composition-2111.07736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continual-learning-via-local-module-composition-2111.07736"/></url>
<url><loc>https://scifaro.com/en/abs/progress-in-self-certified-neural-networks-2111.07737</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/progress-in-self-certified-neural-networks-2111.07737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/progress-in-self-certified-neural-networks-2111.07737"/></url>
<url><loc>https://scifaro.com/en/abs/learning-representations-for-pixel-based-control-what-matters-and-why-2111.07775</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-representations-for-pixel-based-control-what-matters-and-why-2111.07775"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-representations-for-pixel-based-control-what-matters-and-why-2111.07775"/></url>
<url><loc>https://scifaro.com/en/abs/a-teacher-student-markov-decision-process-based-framework-for-online-correctional-learning-2111.07818</loc><lastmod>2022-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-teacher-student-markov-decision-process-based-framework-for-online-correctional-learning-2111.07818"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-teacher-student-markov-decision-process-based-framework-for-online-correctional-learning-2111.07818"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-linear-regression-for-heterogeneous-covariances-2111.07834</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-linear-regression-for-heterogeneous-covariances-2111.07834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-linear-regression-for-heterogeneous-covariances-2111.07834"/></url>
<url><loc>https://scifaro.com/en/abs/mitigating-divergence-of-latent-factors-via-dual-ascent-for-low-latency-event-prediction-models-2111.07866</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mitigating-divergence-of-latent-factors-via-dual-ascent-for-low-latency-event-prediction-models-2111.07866"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mitigating-divergence-of-latent-factors-via-dual-ascent-for-low-latency-event-prediction-models-2111.07866"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-tradeoff-between-energy-precision-and-accuracy-in-federated-quantized-neural-networks-2111.07911</loc><lastmod>2023-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-tradeoff-between-energy-precision-and-accuracy-in-federated-quantized-neural-networks-2111.07911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-tradeoff-between-energy-precision-and-accuracy-in-federated-quantized-neural-networks-2111.07911"/></url>
<url><loc>https://scifaro.com/en/abs/target-layer-regularization-for-continual-learning-using-cramer-wold-generator-2111.07928</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/target-layer-regularization-for-continual-learning-using-cramer-wold-generator-2111.07928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/target-layer-regularization-for-continual-learning-using-cramer-wold-generator-2111.07928"/></url>
<url><loc>https://scifaro.com/en/abs/fully-linear-graph-convolutional-networks-for-semi-supervised-learning-and-clustering-2111.07942</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fully-linear-graph-convolutional-networks-for-semi-supervised-learning-and-clustering-2111.07942"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fully-linear-graph-convolutional-networks-for-semi-supervised-learning-and-clustering-2111.07942"/></url>
<url><loc>https://scifaro.com/en/abs/deep-network-approximation-in-terms-of-intrinsic-parameters-2111.07964</loc><lastmod>2022-09-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-network-approximation-in-terms-of-intrinsic-parameters-2111.07964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-network-approximation-in-terms-of-intrinsic-parameters-2111.07964"/></url>
<url><loc>https://scifaro.com/en/abs/fast-first-order-methods-for-monotone-strongly-dr-submodular-maximization-2111.07990</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-first-order-methods-for-monotone-strongly-dr-submodular-maximization-2111.07990"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-first-order-methods-for-monotone-strongly-dr-submodular-maximization-2111.07990"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-skill-chaining-for-long-horizon-robot-manipulation-via-terminal-state-regularization-2111.07999</loc><lastmod>2021-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-skill-chaining-for-long-horizon-robot-manipulation-via-terminal-state-regularization-2111.07999"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-skill-chaining-for-long-horizon-robot-manipulation-via-terminal-state-regularization-2111.07999"/></url>
<url><loc>https://scifaro.com/en/abs/natural-gradient-variational-inference-with-gaussian-mixture-models-2111.08002</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/natural-gradient-variational-inference-with-gaussian-mixture-models-2111.08002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/natural-gradient-variational-inference-with-gaussian-mixture-models-2111.08002"/></url>
<url><loc>https://scifaro.com/en/abs/modular-networks-prevent-catastrophic-interference-in-model-based-multi-task-reinforcement-learning-2111.08010</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modular-networks-prevent-catastrophic-interference-in-model-based-multi-task-reinforcement-learning-2111.08010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modular-networks-prevent-catastrophic-interference-in-model-based-multi-task-reinforcement-learning-2111.08010"/></url>
<url><loc>https://scifaro.com/en/abs/margin-independent-online-multiclass-learning-via-convex-geometry-2111.08057</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/margin-independent-online-multiclass-learning-via-convex-geometry-2111.08057"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/margin-independent-online-multiclass-learning-via-convex-geometry-2111.08057"/></url>
<url><loc>https://scifaro.com/en/abs/exploiting-action-impact-regularity-and-exogenous-state-variables-for-offline-reinforcement-learning-2111.08066</loc><lastmod>2023-05-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploiting-action-impact-regularity-and-exogenous-state-variables-for-offline-reinforcement-learning-2111.08066"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploiting-action-impact-regularity-and-exogenous-state-variables-for-offline-reinforcement-learning-2111.08066"/></url>
<url><loc>https://scifaro.com/en/abs/modellight-model-based-meta-reinforcement-learning-for-traffic-signal-control-2111.08067</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modellight-model-based-meta-reinforcement-learning-for-traffic-signal-control-2111.08067"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modellight-model-based-meta-reinforcement-learning-for-traffic-signal-control-2111.08067"/></url>
<url><loc>https://scifaro.com/en/abs/learning-graph-neural-networks-for-multivariate-time-series-anomaly-detection-2111.08082</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-graph-neural-networks-for-multivariate-time-series-anomaly-detection-2111.08082"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-graph-neural-networks-for-multivariate-time-series-anomaly-detection-2111.08082"/></url>
<url><loc>https://scifaro.com/en/abs/timevae-a-variational-auto-encoder-for-multivariate-time-series-generation-2111.08095</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/timevae-a-variational-auto-encoder-for-multivariate-time-series-generation-2111.08095"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/timevae-a-variational-auto-encoder-for-multivariate-time-series-generation-2111.08095"/></url>
<url><loc>https://scifaro.com/en/abs/visualenv-visual-gym-environments-with-blender-2111.08096</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visualenv-visual-gym-environments-with-blender-2111.08096"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visualenv-visual-gym-environments-with-blender-2111.08096"/></url>
<url><loc>https://scifaro.com/en/abs/neural-networks-with-linear-threshold-activations-structure-and-algorithms-2111.08117</loc><lastmod>2023-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-networks-with-linear-threshold-activations-structure-and-algorithms-2111.08117"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-networks-with-linear-threshold-activations-structure-and-algorithms-2111.08117"/></url>
<url><loc>https://scifaro.com/en/abs/on-a-conjecture-regarding-the-adam-optimizer-2111.08162</loc><lastmod>2022-09-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-a-conjecture-regarding-the-adam-optimizer-2111.08162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-a-conjecture-regarding-the-adam-optimizer-2111.08162"/></url>
<url><loc>https://scifaro.com/en/abs/an-underexplored-dilemma-between-confidence-and-calibration-in-quantized-neural-networks-2111.08163</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-underexplored-dilemma-between-confidence-and-calibration-in-quantized-neural-networks-2111.08163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-underexplored-dilemma-between-confidence-and-calibration-in-quantized-neural-networks-2111.08163"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-neural-symbolic-learning-systems-2111.08164</loc><lastmod>2023-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-neural-symbolic-learning-systems-2111.08164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-neural-symbolic-learning-systems-2111.08164"/></url>
<url><loc>https://scifaro.com/en/abs/rapidread-global-deployment-of-state-of-the-art-radiology-ai-for-a-large-veterinary-teleradiology-practice-2111.08165</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rapidread-global-deployment-of-state-of-the-art-radiology-ai-for-a-large-veterinary-teleradiology-practice-2111.08165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rapidread-global-deployment-of-state-of-the-art-radiology-ai-for-a-large-veterinary-teleradiology-practice-2111.08165"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-medical-ai-performance-disparities-across-sites-with-confounder-shapley-value-analysis-2111.08168</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-medical-ai-performance-disparities-across-sites-with-confounder-shapley-value-analysis-2111.08168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-medical-ai-performance-disparities-across-sites-with-confounder-shapley-value-analysis-2111.08168"/></url>
<url><loc>https://scifaro.com/en/abs/a-supervised-feature-selection-method-for-mixed-type-data-using-density-based-feature-clustering-2111.08169</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-supervised-feature-selection-method-for-mixed-type-data-using-density-based-feature-clustering-2111.08169"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-supervised-feature-selection-method-for-mixed-type-data-using-density-based-feature-clustering-2111.08169"/></url>
<url><loc>https://scifaro.com/en/abs/solving-linear-algebra-by-program-synthesis-2111.08171</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-linear-algebra-by-program-synthesis-2111.08171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-linear-algebra-by-program-synthesis-2111.08171"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-actor-critic-with-emphatic-weightings-2111.08172</loc><lastmod>2023-04-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-actor-critic-with-emphatic-weightings-2111.08172"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-actor-critic-with-emphatic-weightings-2111.08172"/></url>
<url><loc>https://scifaro.com/en/abs/inverse-weighted-survival-games-2111.08175</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inverse-weighted-survival-games-2111.08175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inverse-weighted-survival-games-2111.08175"/></url>
<url><loc>https://scifaro.com/en/abs/learning-augmentation-distributions-using-transformed-risk-minimization-2111.08190</loc><lastmod>2023-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-augmentation-distributions-using-transformed-risk-minimization-2111.08190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-augmentation-distributions-using-transformed-risk-minimization-2111.08190"/></url>
<url><loc>https://scifaro.com/en/abs/more-fi-motion-robust-and-fine-grained-respiration-monitoring-via-deep-learning-uwb-radar-2111.08195</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/more-fi-motion-robust-and-fine-grained-respiration-monitoring-via-deep-learning-uwb-radar-2111.08195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/more-fi-motion-robust-and-fine-grained-respiration-monitoring-via-deep-learning-uwb-radar-2111.08195"/></url>
<url><loc>https://scifaro.com/en/abs/learn-locally-correct-globally-a-distributed-algorithm-for-training-graph-neural-networks-2111.08202</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-locally-correct-globally-a-distributed-algorithm-for-training-graph-neural-networks-2111.08202"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-locally-correct-globally-a-distributed-algorithm-for-training-graph-neural-networks-2111.08202"/></url>
<url><loc>https://scifaro.com/en/abs/fedcg-leverage-conditional-gan-for-protecting-privacy-and-maintaining-competitive-performance-in-federated-learning-2111.08211</loc><lastmod>2024-07-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedcg-leverage-conditional-gan-for-protecting-privacy-and-maintaining-competitive-performance-in-federated-learning-2111.08211"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedcg-leverage-conditional-gan-for-protecting-privacy-and-maintaining-competitive-performance-in-federated-learning-2111.08211"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-aware-online-price-discrimination-with-nonparametric-demand-models-2111.08221</loc><lastmod>2023-07-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-aware-online-price-discrimination-with-nonparametric-demand-models-2111.08221"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-aware-online-price-discrimination-with-nonparametric-demand-models-2111.08221"/></url>
<url><loc>https://scifaro.com/en/abs/comparative-analysis-of-machine-learning-models-for-predicting-travel-time-2111.08226</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparative-analysis-of-machine-learning-models-for-predicting-travel-time-2111.08226"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparative-analysis-of-machine-learning-models-for-predicting-travel-time-2111.08226"/></url>
<url><loc>https://scifaro.com/en/abs/phase-function-estimation-from-a-diffuse-optical-image-via-deep-learning-2111.08227</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/phase-function-estimation-from-a-diffuse-optical-image-via-deep-learning-2111.08227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/phase-function-estimation-from-a-diffuse-optical-image-via-deep-learning-2111.08227"/></url>
<url><loc>https://scifaro.com/en/abs/selective-ensembles-for-consistent-predictions-2111.08230</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/selective-ensembles-for-consistent-predictions-2111.08230"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/selective-ensembles-for-consistent-predictions-2111.08230"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-deep-neural-networks-as-probability-estimators-2111.08239</loc><lastmod>2023-11-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-deep-neural-networks-as-probability-estimators-2111.08239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-deep-neural-networks-as-probability-estimators-2111.08239"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-and-fast-interpretable-model-for-predictive-analytics-2111.08255</loc><lastmod>2023-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-and-fast-interpretable-model-for-predictive-analytics-2111.08255"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-and-fast-interpretable-model-for-predictive-analytics-2111.08255"/></url>
<url><loc>https://scifaro.com/en/abs/solving-probability-and-statistics-problems-by-program-synthesis-2111.08267</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-probability-and-statistics-problems-by-program-synthesis-2111.08267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-probability-and-statistics-problems-by-program-synthesis-2111.08267"/></url>
<url><loc>https://scifaro.com/en/abs/hadfl-heterogeneity-aware-decentralized-federated-learning-framework-2111.08274</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hadfl-heterogeneity-aware-decentralized-federated-learning-framework-2111.08274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hadfl-heterogeneity-aware-decentralized-federated-learning-framework-2111.08274"/></url>
<url><loc>https://scifaro.com/en/abs/deep-distilling-automated-code-generation-using-explainable-deep-learning-2111.08275</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-distilling-automated-code-generation-using-explainable-deep-learning-2111.08275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-distilling-automated-code-generation-using-explainable-deep-learning-2111.08275"/></url>
<url><loc>https://scifaro.com/en/abs/wyner-ziv-gradient-compression-for-federated-learning-2111.08277</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wyner-ziv-gradient-compression-for-federated-learning-2111.08277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wyner-ziv-gradient-compression-for-federated-learning-2111.08277"/></url>
<url><loc>https://scifaro.com/en/abs/switching-recurrent-kalman-networks-2111.08291</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/switching-recurrent-kalman-networks-2111.08291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/switching-recurrent-kalman-networks-2111.08291"/></url>
<url><loc>https://scifaro.com/en/abs/reshaping-smart-energy-transition-an-analysis-of-human-building-interactions-in-qatar-using-machine-learning-techniques-2111.08333</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reshaping-smart-energy-transition-an-analysis-of-human-building-interactions-in-qatar-using-machine-learning-techniques-2111.08333"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reshaping-smart-energy-transition-an-analysis-of-human-building-interactions-in-qatar-using-machine-learning-techniques-2111.08333"/></url>
<url><loc>https://scifaro.com/en/abs/mathematical-models-for-local-sensing-hashes-2111.08344</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mathematical-models-for-local-sensing-hashes-2111.08344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mathematical-models-for-local-sensing-hashes-2111.08344"/></url>
<url><loc>https://scifaro.com/en/abs/on-demand-unlabeled-personalized-federated-learning-2111.08356</loc><lastmod>2022-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-demand-unlabeled-personalized-federated-learning-2111.08356"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-demand-unlabeled-personalized-federated-learning-2111.08356"/></url>
<url><loc>https://scifaro.com/en/abs/towards-generating-real-world-time-series-data-2111.08386</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-generating-real-world-time-series-data-2111.08386"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-generating-real-world-time-series-data-2111.08386"/></url>
<url><loc>https://scifaro.com/en/abs/grounding-psychological-shape-space-in-convolutional-neural-networks-2111.08409</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/grounding-psychological-shape-space-in-convolutional-neural-networks-2111.08409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/grounding-psychological-shape-space-in-convolutional-neural-networks-2111.08409"/></url>
<url><loc>https://scifaro.com/en/abs/thoughts-on-the-consistency-between-ricci-flow-and-neural-network-behavior-2111.08410</loc><lastmod>2022-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thoughts-on-the-consistency-between-ricci-flow-and-neural-network-behavior-2111.08410"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thoughts-on-the-consistency-between-ricci-flow-and-neural-network-behavior-2111.08410"/></url>
<url><loc>https://scifaro.com/en/abs/free-will-belief-as-a-consequence-of-model-based-reinforcement-learning-2111.08435</loc><lastmod>2022-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/free-will-belief-as-a-consequence-of-model-based-reinforcement-learning-2111.08435"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/free-will-belief-as-a-consequence-of-model-based-reinforcement-learning-2111.08435"/></url>
<url><loc>https://scifaro.com/en/abs/fourier-neural-networks-for-function-approximation-2111.08438</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fourier-neural-networks-for-function-approximation-2111.08438"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fourier-neural-networks-for-function-approximation-2111.08438"/></url>
<url><loc>https://scifaro.com/en/abs/complementary-ensemble-learning-2111.08449</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/complementary-ensemble-learning-2111.08449"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/complementary-ensemble-learning-2111.08449"/></url>
<url><loc>https://scifaro.com/en/abs/a-spatial-temporal-graph-deep-learning-model-for-urban-flood-nowcasting-leveraging-heterogeneous-community-features-2111.08450</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-spatial-temporal-graph-deep-learning-model-for-urban-flood-nowcasting-leveraging-heterogeneous-community-features-2111.08450"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-spatial-temporal-graph-deep-learning-model-for-urban-flood-nowcasting-leveraging-heterogeneous-community-features-2111.08450"/></url>
<url><loc>https://scifaro.com/en/abs/which-is-making-the-contribution-modulating-unimodal-and-cross-modal-dynamics-for-multimodal-sentiment-analysis-2111.08451</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/which-is-making-the-contribution-modulating-unimodal-and-cross-modal-dynamics-for-multimodal-sentiment-analysis-2111.08451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/which-is-making-the-contribution-modulating-unimodal-and-cross-modal-dynamics-for-multimodal-sentiment-analysis-2111.08451"/></url>
<url><loc>https://scifaro.com/en/abs/on-minimizers-and-convolutional-filters-theoretical-connections-and-applications-to-genome-analysis-2111.08452</loc><lastmod>2024-01-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-minimizers-and-convolutional-filters-theoretical-connections-and-applications-to-genome-analysis-2111.08452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-minimizers-and-convolutional-filters-theoretical-connections-and-applications-to-genome-analysis-2111.08452"/></url>
<url><loc>https://scifaro.com/en/abs/entropy-optimized-semi-supervised-decomposed-vector-quantized-variational-autoencoder-model-based-on-transfer-learning-for-multiclass-text-classification-and-generation-2111.08453</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/entropy-optimized-semi-supervised-decomposed-vector-quantized-variational-autoencoder-model-based-on-transfer-learning-for-multiclass-text-classification-and-generation-2111.08453"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/entropy-optimized-semi-supervised-decomposed-vector-quantized-variational-autoencoder-model-based-on-transfer-learning-for-multiclass-text-classification-and-generation-2111.08453"/></url>
<url><loc>https://scifaro.com/en/abs/trustworthy-multimodal-regression-with-mixture-of-normal-inverse-gamma-distributions-2111.08456</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trustworthy-multimodal-regression-with-mixture-of-normal-inverse-gamma-distributions-2111.08456"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trustworthy-multimodal-regression-with-mixture-of-normal-inverse-gamma-distributions-2111.08456"/></url>
<url><loc>https://scifaro.com/en/abs/lifelong-learning-from-event-based-data-2111.08458</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lifelong-learning-from-event-based-data-2111.08458"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lifelong-learning-from-event-based-data-2111.08458"/></url>
<url><loc>https://scifaro.com/en/abs/multi-centroid-hyperdimensional-computing-approach-for-epileptic-seizure-detection-2111.08463</loc><lastmod>2022-04-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-centroid-hyperdimensional-computing-approach-for-epileptic-seizure-detection-2111.08463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-centroid-hyperdimensional-computing-approach-for-epileptic-seizure-detection-2111.08463"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-and-fair-boolean-rule-sets-via-column-generation-2111.08466</loc><lastmod>2023-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-and-fair-boolean-rule-sets-via-column-generation-2111.08466"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-and-fair-boolean-rule-sets-via-column-generation-2111.08466"/></url>
<url><loc>https://scifaro.com/en/abs/spatial-machine-learning-model-diagnostics-a-model-agnostic-distance-based-approach-2111.08478</loc><lastmod>2023-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatial-machine-learning-model-diagnostics-a-model-agnostic-distance-based-approach-2111.08478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatial-machine-learning-model-diagnostics-a-model-agnostic-distance-based-approach-2111.08478"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-the-long-tail-losses-in-scientific-emulations-with-active-learning-2111.08498</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-the-long-tail-losses-in-scientific-emulations-with-active-learning-2111.08498"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-the-long-tail-losses-in-scientific-emulations-with-active-learning-2111.08498"/></url>
<url><loc>https://scifaro.com/en/abs/comparing-cross-correlation-based-similarities-2111.08513</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparing-cross-correlation-based-similarities-2111.08513"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparing-cross-correlation-based-similarities-2111.08513"/></url>
<url><loc>https://scifaro.com/en/abs/multiset-neurons-2111.08516</loc><lastmod>2022-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiset-neurons-2111.08516"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiset-neurons-2111.08516"/></url>
<url><loc>https://scifaro.com/en/abs/non-separable-spatio-temporal-graph-kernels-via-spdes-2111.08524</loc><lastmod>2024-12-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-separable-spatio-temporal-graph-kernels-via-spdes-2111.08524"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-separable-spatio-temporal-graph-kernels-via-spdes-2111.08524"/></url>
<url><loc>https://scifaro.com/en/abs/hirid-icu-benchmark-a-comprehensive-machine-learning-benchmark-on-high-resolution-icu-data-2111.08536</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hirid-icu-benchmark-a-comprehensive-machine-learning-benchmark-on-high-resolution-icu-data-2111.08536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hirid-icu-benchmark-a-comprehensive-machine-learning-benchmark-on-high-resolution-icu-data-2111.08536"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-language-models-through-knowledge-graph-extraction-2111.08546</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-language-models-through-knowledge-graph-extraction-2111.08546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-language-models-through-knowledge-graph-extraction-2111.08546"/></url>
<url><loc>https://scifaro.com/en/abs/on-effective-scheduling-of-model-based-reinforcement-learning-2111.08550</loc><lastmod>2022-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-effective-scheduling-of-model-based-reinforcement-learning-2111.08550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-effective-scheduling-of-model-based-reinforcement-learning-2111.08550"/></url>
<url><loc>https://scifaro.com/en/abs/rank-regret-minimization-2111.08563</loc><lastmod>2022-03-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rank-regret-minimization-2111.08563"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rank-regret-minimization-2111.08563"/></url>
<url><loc>https://scifaro.com/en/abs/polymatrix-competitive-gradient-descent-2111.08565</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/polymatrix-competitive-gradient-descent-2111.08565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/polymatrix-competitive-gradient-descent-2111.08565"/></url>
<url><loc>https://scifaro.com/en/abs/robust-recovery-for-stochastic-block-models-2111.08568</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-recovery-for-stochastic-block-models-2111.08568"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-recovery-for-stochastic-block-models-2111.08568"/></url>
<url><loc>https://scifaro.com/en/abs/neuron-based-pruning-of-deep-neural-networks-with-better-generalization-using-kronecker-factored-curvature-approximation-2111.08577</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuron-based-pruning-of-deep-neural-networks-with-better-generalization-using-kronecker-factored-curvature-approximation-2111.08577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuron-based-pruning-of-deep-neural-networks-with-better-generalization-using-kronecker-factored-curvature-approximation-2111.08577"/></url>
<url><loc>https://scifaro.com/en/abs/cehr-bert-incorporating-temporal-information-from-structured-ehr-data-to-improve-prediction-tasks-2111.08585</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cehr-bert-incorporating-temporal-information-from-structured-ehr-data-to-improve-prediction-tasks-2111.08585"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cehr-bert-incorporating-temporal-information-from-structured-ehr-data-to-improve-prediction-tasks-2111.08585"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-of-bayesian-neural-networks-to-white-box-adversarial-attacks-2111.08591</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-of-bayesian-neural-networks-to-white-box-adversarial-attacks-2111.08591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-of-bayesian-neural-networks-to-white-box-adversarial-attacks-2111.08591"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-feedback-from-multiple-humans-with-diverse-skills-2111.08596</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-feedback-from-multiple-humans-with-diverse-skills-2111.08596"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-feedback-from-multiple-humans-with-diverse-skills-2111.08596"/></url>
<url><loc>https://scifaro.com/en/abs/adjoint-matching-neural-network-surrogates-for-fast-4d-var-data-assimilation-2111.08626</loc><lastmod>2022-12-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adjoint-matching-neural-network-surrogates-for-fast-4d-var-data-assimilation-2111.08626"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adjoint-matching-neural-network-surrogates-for-fast-4d-var-data-assimilation-2111.08626"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-assisted-analysis-of-small-angle-x-ray-scattering-2111.08645</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-assisted-analysis-of-small-angle-x-ray-scattering-2111.08645"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-assisted-analysis-of-small-angle-x-ray-scattering-2111.08645"/></url>
<url><loc>https://scifaro.com/en/abs/fedcostwavg-a-new-averaging-for-better-federated-learning-2111.08649</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedcostwavg-a-new-averaging-for-better-federated-learning-2111.08649"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedcostwavg-a-new-averaging-for-better-federated-learning-2111.08649"/></url>
<url><loc>https://scifaro.com/en/abs/causal-effect-variational-autoencoder-with-uniform-treatment-2111.08656</loc><lastmod>2022-09-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-effect-variational-autoencoder-with-uniform-treatment-2111.08656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-effect-variational-autoencoder-with-uniform-treatment-2111.08656"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-and-ensemble-approach-onto-predicting-heart-disease-2111.08667</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-and-ensemble-approach-onto-predicting-heart-disease-2111.08667"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-and-ensemble-approach-onto-predicting-heart-disease-2111.08667"/></url>
<url><loc>https://scifaro.com/en/abs/automatically-detecting-anomalous-exoplanet-transits-2111.08679</loc><lastmod>2021-11-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatically-detecting-anomalous-exoplanet-transits-2111.08679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatically-detecting-anomalous-exoplanet-transits-2111.08679"/></url>
<url><loc>https://scifaro.com/en/abs/smace-a-new-method-for-the-interpretability-of-composite-decision-systems-2111.08749</loc><lastmod>2023-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smace-a-new-method-for-the-interpretability-of-composite-decision-systems-2111.08749"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smace-a-new-method-for-the-interpretability-of-composite-decision-systems-2111.08749"/></url>
<url><loc>https://scifaro.com/en/abs/predprop-bidirectional-stochastic-optimization-with-precision-weighted-predictive-coding-2111.08792</loc><lastmod>2023-05-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predprop-bidirectional-stochastic-optimization-with-precision-weighted-predictive-coding-2111.08792"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predprop-bidirectional-stochastic-optimization-with-precision-weighted-predictive-coding-2111.08792"/></url>
<url><loc>https://scifaro.com/en/abs/investigating-conversion-from-mild-cognitive-impairment-to-alzheimer-s-disease-using-latent-space-manipulation-2111.08794</loc><lastmod>2023-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/investigating-conversion-from-mild-cognitive-impairment-to-alzheimer-s-disease-using-latent-space-manipulation-2111.08794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/investigating-conversion-from-mild-cognitive-impairment-to-alzheimer-s-disease-using-latent-space-manipulation-2111.08794"/></url>
<url><loc>https://scifaro.com/en/abs/cleanrl-high-quality-single-file-implementations-of-deep-reinforcement-learning-algorithms-2111.08819</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cleanrl-high-quality-single-file-implementations-of-deep-reinforcement-learning-algorithms-2111.08819"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cleanrl-high-quality-single-file-implementations-of-deep-reinforcement-learning-algorithms-2111.08819"/></url>
<url><loc>https://scifaro.com/en/abs/meta-auto-decoder-for-solving-parametric-partial-differential-equations-2111.08823</loc><lastmod>2022-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-auto-decoder-for-solving-parametric-partial-differential-equations-2111.08823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-auto-decoder-for-solving-parametric-partial-differential-equations-2111.08823"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-for-smart-healthcare-a-survey-2111.08834</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-for-smart-healthcare-a-survey-2111.08834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-for-smart-healthcare-a-survey-2111.08834"/></url>
<url><loc>https://scifaro.com/en/abs/online-advertising-revenue-forecasting-an-interpretable-deep-learning-approach-2111.08840</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-advertising-revenue-forecasting-an-interpretable-deep-learning-approach-2111.08840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-advertising-revenue-forecasting-an-interpretable-deep-learning-approach-2111.08840"/></url>
<url><loc>https://scifaro.com/en/abs/deep-neural-networks-for-rank-consistent-ordinal-regression-based-on-conditional-probabilities-2111.08851</loc><lastmod>2023-06-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-neural-networks-for-rank-consistent-ordinal-regression-based-on-conditional-probabilities-2111.08851"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-neural-networks-for-rank-consistent-ordinal-regression-based-on-conditional-probabilities-2111.08851"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-testing-of-deep-image-classification-with-adequacy-metrics-2111.08856</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-testing-of-deep-image-classification-with-adequacy-metrics-2111.08856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-testing-of-deep-image-classification-with-adequacy-metrics-2111.08856"/></url>
<url><loc>https://scifaro.com/en/abs/seihai-a-sample-efficient-hierarchical-ai-for-the-minerl-competition-2111.08857</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seihai-a-sample-efficient-hierarchical-ai-for-the-minerl-competition-2111.08857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seihai-a-sample-efficient-hierarchical-ai-for-the-minerl-competition-2111.08857"/></url>
<url><loc>https://scifaro.com/en/abs/a-label-efficient-two-sample-test-2111.08861</loc><lastmod>2022-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-label-efficient-two-sample-test-2111.08861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-label-efficient-two-sample-test-2111.08861"/></url>
<url><loc>https://scifaro.com/en/abs/gn-transformer-fusing-sequence-and-graph-representation-for-improved-code-summarization-2111.08874</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gn-transformer-fusing-sequence-and-graph-representation-for-improved-code-summarization-2111.08874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gn-transformer-fusing-sequence-and-graph-representation-for-improved-code-summarization-2111.08874"/></url>
<url><loc>https://scifaro.com/en/abs/confair-configurable-and-interpretable-algorithmic-fairness-2111.08878</loc><lastmod>2022-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confair-configurable-and-interpretable-algorithmic-fairness-2111.08878"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confair-configurable-and-interpretable-algorithmic-fairness-2111.08878"/></url>
<url><loc>https://scifaro.com/en/abs/random-graph-based-neuromorphic-learning-with-a-layer-weaken-structure-2111.08888</loc><lastmod>2022-01-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-graph-based-neuromorphic-learning-with-a-layer-weaken-structure-2111.08888"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-graph-based-neuromorphic-learning-with-a-layer-weaken-structure-2111.08888"/></url>
<url><loc>https://scifaro.com/en/abs/a-gnn-rnn-approach-for-harnessing-geospatial-and-temporal-information-application-to-crop-yield-prediction-2111.08900</loc><lastmod>2022-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-gnn-rnn-approach-for-harnessing-geospatial-and-temporal-information-application-to-crop-yield-prediction-2111.08900"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-gnn-rnn-approach-for-harnessing-geospatial-and-temporal-information-application-to-crop-yield-prediction-2111.08900"/></url>
<url><loc>https://scifaro.com/en/abs/fast-rates-for-nonparametric-online-learning-from-realizability-to-learning-in-games-2111.08911</loc><lastmod>2022-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-rates-for-nonparametric-online-learning-from-realizability-to-learning-in-games-2111.08911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-rates-for-nonparametric-online-learning-from-realizability-to-learning-in-games-2111.08911"/></url>
<url><loc>https://scifaro.com/en/abs/traversing-the-local-polytopes-of-relu-neural-networks-a-unified-approach-for-network-verification-2111.08922</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/traversing-the-local-polytopes-of-relu-neural-networks-a-unified-approach-for-network-verification-2111.08922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/traversing-the-local-polytopes-of-relu-neural-networks-a-unified-approach-for-network-verification-2111.08922"/></url>
<url><loc>https://scifaro.com/en/abs/fast-yet-effective-machine-unlearning-2111.08947</loc><lastmod>2023-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-yet-effective-machine-unlearning-2111.08947"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-yet-effective-machine-unlearning-2111.08947"/></url>
<url><loc>https://scifaro.com/en/abs/self-learning-tuning-for-post-silicon-validation-2111.08995</loc><lastmod>2022-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-learning-tuning-for-post-silicon-validation-2111.08995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-learning-tuning-for-post-silicon-validation-2111.08995"/></url>
<url><loc>https://scifaro.com/en/abs/trustworthy-long-tailed-classification-2111.09030</loc><lastmod>2022-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trustworthy-long-tailed-classification-2111.09030"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trustworthy-long-tailed-classification-2111.09030"/></url>
<url><loc>https://scifaro.com/en/abs/a-vertical-federated-learning-method-for-multi-institutional-credit-scoring-mics-2111.09038</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-vertical-federated-learning-method-for-multi-institutional-credit-scoring-mics-2111.09038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-vertical-federated-learning-method-for-multi-institutional-credit-scoring-mics-2111.09038"/></url>
<url><loc>https://scifaro.com/en/abs/orsa-outlier-robust-stacked-aggregation-for-best-and-worst-case-approximations-of-ensemble-systems-2111.09043</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/orsa-outlier-robust-stacked-aggregation-for-best-and-worst-case-approximations-of-ensemble-systems-2111.09043"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/orsa-outlier-robust-stacked-aggregation-for-best-and-worst-case-approximations-of-ensemble-systems-2111.09043"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-unsupervised-learning-methods-for-automated-protocol-analysis-2111.09061</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-unsupervised-learning-methods-for-automated-protocol-analysis-2111.09061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-unsupervised-learning-methods-for-automated-protocol-analysis-2111.09061"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-assisted-genetic-algorithm-for-wrapper-feature-selection-2111.09074</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-assisted-genetic-algorithm-for-wrapper-feature-selection-2111.09074"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-assisted-genetic-algorithm-for-wrapper-feature-selection-2111.09074"/></url>
<url><loc>https://scifaro.com/en/abs/to-trust-or-not-to-trust-prediction-scores-for-membership-inference-attacks-2111.09076</loc><lastmod>2023-01-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/to-trust-or-not-to-trust-prediction-scores-for-membership-inference-attacks-2111.09076"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/to-trust-or-not-to-trust-prediction-scores-for-membership-inference-attacks-2111.09076"/></url>
<url><loc>https://scifaro.com/en/abs/network-generation-with-differential-privacy-2111.09085</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-generation-with-differential-privacy-2111.09085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-generation-with-differential-privacy-2111.09085"/></url>
<url><loc>https://scifaro.com/en/abs/physics-guided-loss-functions-improve-deep-learning-performance-in-inverse-scattering-2111.09109</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/physics-guided-loss-functions-improve-deep-learning-performance-in-inverse-scattering-2111.09109"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/physics-guided-loss-functions-improve-deep-learning-performance-in-inverse-scattering-2111.09109"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-crude-oil-price-using-event-extraction-2111.09111</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-crude-oil-price-using-event-extraction-2111.09111"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-crude-oil-price-using-event-extraction-2111.09111"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-quantification-of-surrogate-explanations-an-ordinal-consensus-approach-2111.09121</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-quantification-of-surrogate-explanations-an-ordinal-consensus-approach-2111.09121"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-quantification-of-surrogate-explanations-an-ordinal-consensus-approach-2111.09121"/></url>
<url><loc>https://scifaro.com/en/abs/route-optimization-via-environment-aware-deep-network-and-reinforcement-learning-2111.09124</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/route-optimization-via-environment-aware-deep-network-and-reinforcement-learning-2111.09124"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/route-optimization-via-environment-aware-deep-network-and-reinforcement-learning-2111.09124"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-detection-as-instance-selection-method-for-feature-selection-in-time-series-classification-2111.09127</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-detection-as-instance-selection-method-for-feature-selection-in-time-series-classification-2111.09127"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-detection-as-instance-selection-method-for-feature-selection-in-time-series-classification-2111.09127"/></url>
<url><loc>https://scifaro.com/en/abs/smart-data-representations-impact-on-the-accuracy-of-deep-neural-networks-2111.09128</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smart-data-representations-impact-on-the-accuracy-of-deep-neural-networks-2111.09128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smart-data-representations-impact-on-the-accuracy-of-deep-neural-networks-2111.09128"/></url>
<url><loc>https://scifaro.com/en/abs/airport-taxi-time-prediction-and-alerting-a-convolutional-neural-network-approach-2111.09139</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/airport-taxi-time-prediction-and-alerting-a-convolutional-neural-network-approach-2111.09139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/airport-taxi-time-prediction-and-alerting-a-convolutional-neural-network-approach-2111.09139"/></url>
<url><loc>https://scifaro.com/en/abs/interpretable-models-via-pairwise-permutations-algorithm-2111.09145</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpretable-models-via-pairwise-permutations-algorithm-2111.09145"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpretable-models-via-pairwise-permutations-algorithm-2111.09145"/></url>
<url><loc>https://scifaro.com/en/abs/aggressive-q-learning-with-ensembles-achieving-both-high-sample-efficiency-and-high-asymptotic-performance-2111.09159</loc><lastmod>2022-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/aggressive-q-learning-with-ensembles-achieving-both-high-sample-efficiency-and-high-asymptotic-performance-2111.09159"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/aggressive-q-learning-with-ensembles-achieving-both-high-sample-efficiency-and-high-asymptotic-performance-2111.09159"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-and-testing-generalization-of-deep-networks-on-out-of-distribution-data-2111.09190</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-and-testing-generalization-of-deep-networks-on-out-of-distribution-data-2111.09190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-and-testing-generalization-of-deep-networks-on-out-of-distribution-data-2111.09190"/></url>
<url><loc>https://scifaro.com/en/abs/iv-gnn-interval-valued-data-handling-using-graph-neural-network-2111.09194</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/iv-gnn-interval-valued-data-handling-using-graph-neural-network-2111.09194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/iv-gnn-interval-valued-data-handling-using-graph-neural-network-2111.09194"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-federated-learning-for-residential-short-term-load-forecasting-2111.09248</loc><lastmod>2022-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-federated-learning-for-residential-short-term-load-forecasting-2111.09248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-federated-learning-for-residential-short-term-load-forecasting-2111.09248"/></url>
<url><loc>https://scifaro.com/en/abs/gflownet-foundations-2111.09266</loc><lastmod>2026-01-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gflownet-foundations-2111.09266"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gflownet-foundations-2111.09266"/></url>
<url><loc>https://scifaro.com/en/abs/smoothmix-training-confidence-calibrated-smoothed-classifiers-for-certified-robustness-2111.09277</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smoothmix-training-confidence-calibrated-smoothed-classifiers-for-certified-robustness-2111.09277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smoothmix-training-confidence-calibrated-smoothed-classifiers-for-certified-robustness-2111.09277"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-federated-learning-on-heterogeneous-data-2111.09278</loc><lastmod>2023-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-federated-learning-on-heterogeneous-data-2111.09278"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-federated-learning-on-heterogeneous-data-2111.09278"/></url>
<url><loc>https://scifaro.com/en/abs/fast-batllnn-fast-box-analysis-of-two-level-lattice-neural-networks-2111.09293</loc><lastmod>2021-11-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-batllnn-fast-box-analysis-of-two-level-lattice-neural-networks-2111.09293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-batllnn-fast-box-analysis-of-two-level-lattice-neural-networks-2111.09293"/></url>
<url><loc>https://scifaro.com/en/abs/gaets-a-graph-autoencoder-time-series-approach-towards-battery-parameter-estimation-2111.09314</loc><lastmod>2022-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaets-a-graph-autoencoder-time-series-approach-towards-battery-parameter-estimation-2111.09314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaets-a-graph-autoencoder-time-series-approach-towards-battery-parameter-estimation-2111.09314"/></url>
<url><loc>https://scifaro.com/en/abs/the-people-s-speech-a-large-scale-diverse-english-speech-recognition-dataset-for-commercial-usage-2111.09344</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-people-s-speech-a-large-scale-diverse-english-speech-recognition-dataset-for-commercial-usage-2111.09344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-people-s-speech-a-large-scale-diverse-english-speech-recognition-dataset-for-commercial-usage-2111.09344"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-federated-learning-through-local-memorization-2111.09360</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-federated-learning-through-local-memorization-2111.09360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-federated-learning-through-local-memorization-2111.09360"/></url>
<url><loc>https://scifaro.com/en/abs/low-precision-decentralized-distributed-training-over-iid-and-non-iid-data-2111.09389</loc><lastmod>2022-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-precision-decentralized-distributed-training-over-iid-and-non-iid-data-2111.09389"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-precision-decentralized-distributed-training-over-iid-and-non-iid-data-2111.09389"/></url>
<url><loc>https://scifaro.com/en/abs/flsys-toward-an-open-ecosystem-for-federated-learning-mobile-apps-2111.09445</loc><lastmod>2023-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flsys-toward-an-open-ecosystem-for-federated-learning-mobile-apps-2111.09445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flsys-toward-an-open-ecosystem-for-federated-learning-mobile-apps-2111.09445"/></url>
<url><loc>https://scifaro.com/en/abs/self-attending-task-generative-adversarial-network-for-realistic-satellite-image-creation-2111.09463</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-attending-task-generative-adversarial-network-for-realistic-satellite-image-creation-2111.09463"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-attending-task-generative-adversarial-network-for-realistic-satellite-image-creation-2111.09463"/></url>
<url><loc>https://scifaro.com/en/abs/csi-contrastive-data-stratification-for-interaction-prediction-and-its-application-to-compound-protein-interaction-prediction-2111.09467</loc><lastmod>2022-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/csi-contrastive-data-stratification-for-interaction-prediction-and-its-application-to-compound-protein-interaction-prediction-2111.09467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/csi-contrastive-data-stratification-for-interaction-prediction-and-its-application-to-compound-protein-interaction-prediction-2111.09467"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-optimized-asynchronous-federated-learning-framework-2111.09487</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-optimized-asynchronous-federated-learning-framework-2111.09487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-optimized-asynchronous-federated-learning-framework-2111.09487"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-discoveries-of-b-acklund-transforms-and-soliton-evolution-equations-via-deep-neural-network-learning-schemes-2111.09489</loc><lastmod>2023-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-discoveries-of-b-acklund-transforms-and-soliton-evolution-equations-via-deep-neural-network-learning-schemes-2111.09489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-discoveries-of-b-acklund-transforms-and-soliton-evolution-equations-via-deep-neural-network-learning-schemes-2111.09489"/></url>
<url><loc>https://scifaro.com/en/abs/docking-based-virtual-screening-with-multi-task-learning-2111.09502</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/docking-based-virtual-screening-with-multi-task-learning-2111.09502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/docking-based-virtual-screening-with-multi-task-learning-2111.09502"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-social-determinants-related-performance-bias-of-machine-learning-models-a-case-of-hyperchloremia-prediction-in-icu-population-2111.09507</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-social-determinants-related-performance-bias-of-machine-learning-models-a-case-of-hyperchloremia-prediction-in-icu-population-2111.09507"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-social-determinants-related-performance-bias-of-machine-learning-models-a-case-of-hyperchloremia-prediction-in-icu-population-2111.09507"/></url>
<url><loc>https://scifaro.com/en/abs/deepguard-a-framework-for-safeguarding-autonomous-driving-systems-from-inconsistent-behavior-2111.09533</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepguard-a-framework-for-safeguarding-autonomous-driving-systems-from-inconsistent-behavior-2111.09533"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepguard-a-framework-for-safeguarding-autonomous-driving-systems-from-inconsistent-behavior-2111.09533"/></url>
<url><loc>https://scifaro.com/en/abs/the-prominence-of-artificial-intelligence-in-covid-19-2111.09537</loc><lastmod>2023-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-prominence-of-artificial-intelligence-in-covid-19-2111.09537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-prominence-of-artificial-intelligence-in-covid-19-2111.09537"/></url>
<url><loc>https://scifaro.com/en/abs/lanobert-system-log-anomaly-detection-based-on-bert-masked-language-model-2111.09564</loc><lastmod>2023-07-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lanobert-system-log-anomaly-detection-based-on-bert-masked-language-model-2111.09564"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lanobert-system-log-anomaly-detection-based-on-bert-masked-language-model-2111.09564"/></url>
<url><loc>https://scifaro.com/en/abs/improving-transferability-of-representations-via-augmentation-aware-self-supervision-2111.09613</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-transferability-of-representations-via-augmentation-aware-self-supervision-2111.09613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-transferability-of-representations-via-augmentation-aware-self-supervision-2111.09613"/></url>
<url><loc>https://scifaro.com/en/abs/clmb-deep-contrastive-learning-for-robust-metagenomic-binning-2111.09656</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clmb-deep-contrastive-learning-for-robust-metagenomic-binning-2111.09656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clmb-deep-contrastive-learning-for-robust-metagenomic-binning-2111.09656"/></url>
<url><loc>https://scifaro.com/en/abs/ccsl-a-causal-structure-learning-method-from-multiple-unknown-environments-2111.09666</loc><lastmod>2023-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ccsl-a-causal-structure-learning-method-from-multiple-unknown-environments-2111.09666"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ccsl-a-causal-structure-learning-method-from-multiple-unknown-environments-2111.09666"/></url>
<url><loc>https://scifaro.com/en/abs/enhanced-membership-inference-attacks-against-machine-learning-models-2111.09679</loc><lastmod>2022-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhanced-membership-inference-attacks-against-machine-learning-models-2111.09679"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhanced-membership-inference-attacks-against-machine-learning-models-2111.09679"/></url>
<url><loc>https://scifaro.com/en/abs/features-selection-in-nba-outcome-prediction-through-deep-learning-2111.09695</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/features-selection-in-nba-outcome-prediction-through-deep-learning-2111.09695"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/features-selection-in-nba-outcome-prediction-through-deep-learning-2111.09695"/></url>
<url><loc>https://scifaro.com/en/abs/you-only-sample-almost-once-linear-cost-self-attention-via-bernoulli-sampling-2111.09714</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/you-only-sample-almost-once-linear-cost-self-attention-via-bernoulli-sampling-2111.09714"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/you-only-sample-almost-once-linear-cost-self-attention-via-bernoulli-sampling-2111.09714"/></url>
<url><loc>https://scifaro.com/en/abs/patent-sentiment-analysis-to-highlight-patent-paragraphs-2111.09741</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/patent-sentiment-analysis-to-highlight-patent-paragraphs-2111.09741"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/patent-sentiment-analysis-to-highlight-patent-paragraphs-2111.09741"/></url>
<url><loc>https://scifaro.com/en/abs/covered-information-disentanglement-model-transparency-via-unbiased-permutation-importance-2111.09744</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covered-information-disentanglement-model-transparency-via-unbiased-permutation-importance-2111.09744"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covered-information-disentanglement-model-transparency-via-unbiased-permutation-importance-2111.09744"/></url>
<url><loc>https://scifaro.com/en/abs/diva-dataset-derivative-of-a-learning-task-2111.09785</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diva-dataset-derivative-of-a-learning-task-2111.09785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diva-dataset-derivative-of-a-learning-task-2111.09785"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-zero-shot-generalisation-in-deep-reinforcement-learning-2111.09794</loc><lastmod>2023-01-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-zero-shot-generalisation-in-deep-reinforcement-learning-2111.09794"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-zero-shot-generalisation-in-deep-reinforcement-learning-2111.09794"/></url>
<url><loc>https://scifaro.com/en/abs/dice-leveraging-sparsification-for-out-of-distribution-detection-2111.09805</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dice-leveraging-sparsification-for-out-of-distribution-detection-2111.09805"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dice-leveraging-sparsification-for-out-of-distribution-detection-2111.09805"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-the-limits-of-epistemic-uncertainty-quantification-in-low-shot-settings-2111.09808</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-the-limits-of-epistemic-uncertainty-quantification-in-low-shot-settings-2111.09808"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-the-limits-of-epistemic-uncertainty-quantification-in-low-shot-settings-2111.09808"/></url>
<url><loc>https://scifaro.com/en/abs/merging-models-with-fisher-weighted-averaging-2111.09832</loc><lastmod>2022-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/merging-models-with-fisher-weighted-averaging-2111.09832"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/merging-models-with-fisher-weighted-averaging-2111.09832"/></url>
<url><loc>https://scifaro.com/en/abs/on-efficient-uncertainty-estimation-for-resource-constrained-mobile-applications-2111.09838</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-efficient-uncertainty-estimation-for-resource-constrained-mobile-applications-2111.09838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-efficient-uncertainty-estimation-for-resource-constrained-mobile-applications-2111.09838"/></url>
<url><loc>https://scifaro.com/en/abs/training-neural-networks-with-fixed-sparse-masks-2111.09839</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-neural-networks-with-fixed-sparse-masks-2111.09839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-neural-networks-with-fixed-sparse-masks-2111.09839"/></url>
<url><loc>https://scifaro.com/en/abs/successor-feature-landmarks-for-long-horizon-goal-conditioned-reinforcement-learning-2111.09858</loc><lastmod>2021-11-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/successor-feature-landmarks-for-long-horizon-goal-conditioned-reinforcement-learning-2111.09858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/successor-feature-landmarks-for-long-horizon-goal-conditioned-reinforcement-learning-2111.09858"/></url>
<url><loc>https://scifaro.com/en/abs/rate-optimal-bayesian-simple-regret-in-best-arm-identification-2111.09885</loc><lastmod>2023-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rate-optimal-bayesian-simple-regret-in-best-arm-identification-2111.09885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rate-optimal-bayesian-simple-regret-in-best-arm-identification-2111.09885"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-estimate-regions-of-attraction-of-autonomous-dynamical-systems-using-physics-informed-neural-networks-2111.09930</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-estimate-regions-of-attraction-of-autonomous-dynamical-systems-using-physics-informed-neural-networks-2111.09930"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-estimate-regions-of-attraction-of-autonomous-dynamical-systems-using-physics-informed-neural-networks-2111.09930"/></url>
<url><loc>https://scifaro.com/en/abs/loss-functions-for-discrete-contextual-pricing-with-observational-data-2111.09933</loc><lastmod>2023-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/loss-functions-for-discrete-contextual-pricing-with-observational-data-2111.09933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/loss-functions-for-discrete-contextual-pricing-with-observational-data-2111.09933"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-predictions-of-different-machine-learning-algorithms-used-to-predict-early-stage-diabetes-2111.09939</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-predictions-of-different-machine-learning-algorithms-used-to-predict-early-stage-diabetes-2111.09939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-predictions-of-different-machine-learning-algorithms-used-to-predict-early-stage-diabetes-2111.09939"/></url>
<url><loc>https://scifaro.com/en/abs/ms-nowcasting-operational-precipitation-nowcasting-with-convolutional-lstms-at-microsoft-weather-2111.09954</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ms-nowcasting-operational-precipitation-nowcasting-with-convolutional-lstms-at-microsoft-weather-2111.09954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ms-nowcasting-operational-precipitation-nowcasting-with-convolutional-lstms-at-microsoft-weather-2111.09954"/></url>
<url><loc>https://scifaro.com/en/abs/esophageal-virtual-disease-landscape-using-mechanics-informed-machine-learning-2111.09993</loc><lastmod>2023-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/esophageal-virtual-disease-landscape-using-mechanics-informed-machine-learning-2111.09993"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/esophageal-virtual-disease-landscape-using-mechanics-informed-machine-learning-2111.09993"/></url>
<url><loc>https://scifaro.com/en/abs/un-avoids-unsupervised-and-nonparametric-approach-for-visualizing-outliers-and-invariant-detection-scoring-2111.10010</loc><lastmod>2022-08-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/un-avoids-unsupervised-and-nonparametric-approach-for-visualizing-outliers-and-invariant-detection-scoring-2111.10010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/un-avoids-unsupervised-and-nonparametric-approach-for-visualizing-outliers-and-invariant-detection-scoring-2111.10010"/></url>
<url><loc>https://scifaro.com/en/abs/explaining-gnn-over-evolving-graphs-using-information-flow-2111.10037</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explaining-gnn-over-evolving-graphs-using-information-flow-2111.10037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explaining-gnn-over-evolving-graphs-using-information-flow-2111.10037"/></url>
<url><loc>https://scifaro.com/en/abs/combined-scaling-for-zero-shot-transfer-learning-2111.10050</loc><lastmod>2023-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combined-scaling-for-zero-shot-transfer-learning-2111.10050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combined-scaling-for-zero-shot-transfer-learning-2111.10050"/></url>
<url><loc>https://scifaro.com/en/abs/towards-efficiently-evaluating-the-robustness-of-deep-neural-networks-in-iot-systems-a-gan-based-method-2111.10055</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-efficiently-evaluating-the-robustness-of-deep-neural-networks-in-iot-systems-a-gan-based-method-2111.10055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-efficiently-evaluating-the-robustness-of-deep-neural-networks-in-iot-systems-a-gan-based-method-2111.10055"/></url>
<url><loc>https://scifaro.com/en/abs/defeating-catastrophic-forgetting-via-enhanced-orthogonal-weights-modification-2111.10078</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/defeating-catastrophic-forgetting-via-enhanced-orthogonal-weights-modification-2111.10078"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/defeating-catastrophic-forgetting-via-enhanced-orthogonal-weights-modification-2111.10078"/></url>
<url><loc>https://scifaro.com/en/abs/data-imputation-and-comparison-of-custom-ensemble-models-with-existing-libraries-like-xgboost-scikit-learn-etc-for-predictive-equipment-failure-2111.10088</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-imputation-and-comparison-of-custom-ensemble-models-with-existing-libraries-like-xgboost-scikit-learn-etc-for-predictive-equipment-failure-2111.10088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-imputation-and-comparison-of-custom-ensemble-models-with-existing-libraries-like-xgboost-scikit-learn-etc-for-predictive-equipment-failure-2111.10088"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-with-feature-and-structure-aware-random-walk-2111.10102</loc><lastmod>2024-10-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-with-feature-and-structure-aware-random-walk-2111.10102"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-with-feature-and-structure-aware-random-walk-2111.10102"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-aware-low-rank-q-matrix-estimation-for-deep-reinforcement-learning-2111.10103</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-aware-low-rank-q-matrix-estimation-for-deep-reinforcement-learning-2111.10103"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-aware-low-rank-q-matrix-estimation-for-deep-reinforcement-learning-2111.10103"/></url>
<url><loc>https://scifaro.com/en/abs/fooling-adversarial-training-with-inducing-noise-2111.10130</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fooling-adversarial-training-with-inducing-noise-2111.10130"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fooling-adversarial-training-with-inducing-noise-2111.10130"/></url>
<url><loc>https://scifaro.com/en/abs/learning-in-high-dimensional-feature-spaces-using-anova-based-fast-matrix-vector-multiplication-2111.10140</loc><lastmod>2023-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-in-high-dimensional-feature-spaces-using-anova-based-fast-matrix-vector-multiplication-2111.10140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-in-high-dimensional-feature-spaces-using-anova-based-fast-matrix-vector-multiplication-2111.10140"/></url>
<url><loc>https://scifaro.com/en/abs/positional-encoder-graph-neural-networks-for-geographic-data-2111.10144</loc><lastmod>2023-02-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/positional-encoder-graph-neural-networks-for-geographic-data-2111.10144"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/positional-encoder-graph-neural-networks-for-geographic-data-2111.10144"/></url>
<url><loc>https://scifaro.com/en/abs/an-expectation-maximization-perspective-on-federated-learning-2111.10192</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-expectation-maximization-perspective-on-federated-learning-2111.10192"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-expectation-maximization-perspective-on-federated-learning-2111.10192"/></url>
<url><loc>https://scifaro.com/en/abs/towards-traffic-scene-description-the-semantic-scene-graph-2111.10196</loc><lastmod>2022-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-traffic-scene-description-the-semantic-scene-graph-2111.10196"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-traffic-scene-description-the-semantic-scene-graph-2111.10196"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-graph-physics-real-time-rigid-body-driven-granular-flow-simulation-2111.10206</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-graph-physics-real-time-rigid-body-driven-granular-flow-simulation-2111.10206"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-graph-physics-real-time-rigid-body-driven-granular-flow-simulation-2111.10206"/></url>
<url><loc>https://scifaro.com/en/abs/ubi-sleepnet-advanced-multimodal-fusion-techniques-for-three-stage-sleep-classification-using-ubiquitous-sensing-2111.10245</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ubi-sleepnet-advanced-multimodal-fusion-techniques-for-three-stage-sleep-classification-using-ubiquitous-sensing-2111.10245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ubi-sleepnet-advanced-multimodal-fusion-techniques-for-three-stage-sleep-classification-using-ubiquitous-sensing-2111.10245"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-data-efficient-training-of-rainbow-an-experimental-study-on-atari-2111.10247</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-data-efficient-training-of-rainbow-an-experimental-study-on-atari-2111.10247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-data-efficient-training-of-rainbow-an-experimental-study-on-atari-2111.10247"/></url>
<url><loc>https://scifaro.com/en/abs/resilience-from-diversity-population-based-approach-to-harden-models-against-adversarial-attacks-2111.10272</loc><lastmod>2022-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resilience-from-diversity-population-based-approach-to-harden-models-against-adversarial-attacks-2111.10272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resilience-from-diversity-population-based-approach-to-harden-models-against-adversarial-attacks-2111.10272"/></url>
<url><loc>https://scifaro.com/en/abs/the-joy-of-neural-painting-2111.10283</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-joy-of-neural-painting-2111.10283"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-joy-of-neural-painting-2111.10283"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-deep-learning-for-online-resource-allocation-2111.10285</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-deep-learning-for-online-resource-allocation-2111.10285"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-deep-learning-for-online-resource-allocation-2111.10285"/></url>
<url><loc>https://scifaro.com/en/abs/meta-adversarial-perturbations-2111.10291</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-adversarial-perturbations-2111.10291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-adversarial-perturbations-2111.10291"/></url>
<url><loc>https://scifaro.com/en/abs/expert-guided-symmetry-detection-in-markov-decision-processes-2111.10297</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/expert-guided-symmetry-detection-in-markov-decision-processes-2111.10297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/expert-guided-symmetry-detection-in-markov-decision-processes-2111.10297"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-visual-time-series-representation-learning-and-clustering-2111.10309</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-visual-time-series-representation-learning-and-clustering-2111.10309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-visual-time-series-representation-learning-and-clustering-2111.10309"/></url>
<url><loc>https://scifaro.com/en/abs/maximum-mean-discrepancy-for-generalization-in-the-presence-of-distribution-and-missingness-shift-2111.10344</loc><lastmod>2022-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maximum-mean-discrepancy-for-generalization-in-the-presence-of-distribution-and-missingness-shift-2111.10344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maximum-mean-discrepancy-for-generalization-in-the-presence-of-distribution-and-missingness-shift-2111.10344"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-power-of-adaptivity-in-statistical-adversaries-2111.10352</loc><lastmod>2022-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-power-of-adaptivity-in-statistical-adversaries-2111.10352"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-power-of-adaptivity-in-statistical-adversaries-2111.10352"/></url>
<url><loc>https://scifaro.com/en/abs/solving-visual-analogies-using-neural-algorithmic-reasoning-2111.10361</loc><lastmod>2021-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-visual-analogies-using-neural-algorithmic-reasoning-2111.10361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-visual-analogies-using-neural-algorithmic-reasoning-2111.10361"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-decision-transformer-for-offline-hindsight-information-matching-2111.10364</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-decision-transformer-for-offline-hindsight-information-matching-2111.10364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-decision-transformer-for-offline-hindsight-information-matching-2111.10364"/></url>
<url><loc>https://scifaro.com/en/abs/data-excellence-for-ai-why-should-you-care-2111.10391</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-excellence-for-ai-why-should-you-care-2111.10391"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-excellence-for-ai-why-should-you-care-2111.10391"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-mechanical-ventilation-control-extended-abstract-2111.10434</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-mechanical-ventilation-control-extended-abstract-2111.10434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-mechanical-ventilation-control-extended-abstract-2111.10434"/></url>
<url><loc>https://scifaro.com/en/abs/dyformer-a-scalable-dynamic-graph-transformer-with-provable-benefits-on-generalization-ability-2111.10447</loc><lastmod>2023-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dyformer-a-scalable-dynamic-graph-transformer-with-provable-benefits-on-generalization-ability-2111.10447"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dyformer-a-scalable-dynamic-graph-transformer-with-provable-benefits-on-generalization-ability-2111.10447"/></url>
<url><loc>https://scifaro.com/en/abs/mural-an-unsupervised-random-forest-based-embedding-for-electronic-health-record-data-2111.10452</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mural-an-unsupervised-random-forest-based-embedding-for-electronic-health-record-data-2111.10452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mural-an-unsupervised-random-forest-based-embedding-for-electronic-health-record-data-2111.10452"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-population-movements-with-non-negative-matrix-factorization-from-wi-fi-user-counts-in-smart-and-connected-cities-2111.10459</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-population-movements-with-non-negative-matrix-factorization-from-wi-fi-user-counts-in-smart-and-connected-cities-2111.10459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-population-movements-with-non-negative-matrix-factorization-from-wi-fi-user-counts-in-smart-and-connected-cities-2111.10459"/></url>
<url><loc>https://scifaro.com/en/abs/towards-return-parity-in-markov-decision-processes-2111.10476</loc><lastmod>2022-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-return-parity-in-markov-decision-processes-2111.10476"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-return-parity-in-markov-decision-processes-2111.10476"/></url>
<url><loc>https://scifaro.com/en/abs/federated-learning-with-domain-generalization-2111.10487</loc><lastmod>2023-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-learning-with-domain-generalization-2111.10487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-learning-with-domain-generalization-2111.10487"/></url>
<url><loc>https://scifaro.com/en/abs/feature-selection-or-extraction-decision-process-for-clustering-using-pca-and-frsd-2111.10492</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-selection-or-extraction-decision-process-for-clustering-using-pca-and-frsd-2111.10492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-selection-or-extraction-decision-process-for-clustering-using-pca-and-frsd-2111.10492"/></url>
<url><loc>https://scifaro.com/en/abs/learning-non-stationary-time-series-with-dynamic-pattern-extractions-2111.10559</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-non-stationary-time-series-with-dynamic-pattern-extractions-2111.10559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-non-stationary-time-series-with-dynamic-pattern-extractions-2111.10559"/></url>
<url><loc>https://scifaro.com/en/abs/generating-meta-learning-tasks-to-evolve-parametric-loss-for-classification-learning-2111.10583</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-meta-learning-tasks-to-evolve-parametric-loss-for-classification-learning-2111.10583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-meta-learning-tasks-to-evolve-parametric-loss-for-classification-learning-2111.10583"/></url>
<url><loc>https://scifaro.com/en/abs/deep-safe-multi-task-learning-2111.10601</loc><lastmod>2022-10-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-safe-multi-task-learning-2111.10601"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-safe-multi-task-learning-2111.10601"/></url>
<url><loc>https://scifaro.com/en/abs/reasonable-effectiveness-of-random-weighting-a-litmus-test-for-multi-task-learning-2111.10603</loc><lastmod>2022-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reasonable-effectiveness-of-random-weighting-a-litmus-test-for-multi-task-learning-2111.10603"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reasonable-effectiveness-of-random-weighting-a-litmus-test-for-multi-task-learning-2111.10603"/></url>
<url><loc>https://scifaro.com/en/abs/spine-soft-piecewise-interpretable-neural-equations-2111.10622</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spine-soft-piecewise-interpretable-neural-equations-2111.10622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spine-soft-piecewise-interpretable-neural-equations-2111.10622"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-biomedical-recommendations-via-reinforcement-learning-reasoning-on-knowledge-graphs-2111.10625</loc><lastmod>2022-10-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-biomedical-recommendations-via-reinforcement-learning-reasoning-on-knowledge-graphs-2111.10625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-biomedical-recommendations-via-reinforcement-learning-reasoning-on-knowledge-graphs-2111.10625"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-graph-neural-networks-on-out-of-distribution-graphs-2111.10657</loc><lastmod>2024-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-graph-neural-networks-on-out-of-distribution-graphs-2111.10657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-graph-neural-networks-on-out-of-distribution-graphs-2111.10657"/></url>
<url><loc>https://scifaro.com/en/abs/towards-graph-self-supervised-learning-with-contrastive-adjusted-zooming-2111.10698</loc><lastmod>2022-11-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-graph-self-supervised-learning-with-contrastive-adjusted-zooming-2111.10698"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-graph-self-supervised-learning-with-contrastive-adjusted-zooming-2111.10698"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-learning-for-fair-ranking-systems-2111.10723</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-learning-for-fair-ranking-systems-2111.10723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-learning-for-fair-ranking-systems-2111.10723"/></url>
<url><loc>https://scifaro.com/en/abs/deep-probability-estimation-2111.10734</loc><lastmod>2023-02-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-probability-estimation-2111.10734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-probability-estimation-2111.10734"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-variance-reduced-ensemble-adversarial-attack-for-boosting-the-adversarial-transferability-2111.10752</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-variance-reduced-ensemble-adversarial-attack-for-boosting-the-adversarial-transferability-2111.10752"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-variance-reduced-ensemble-adversarial-attack-for-boosting-the-adversarial-transferability-2111.10752"/></url>
<url><loc>https://scifaro.com/en/abs/local-linearity-and-double-descent-in-catastrophic-overfitting-2111.10754</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-linearity-and-double-descent-in-catastrophic-overfitting-2111.10754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-linearity-and-double-descent-in-catastrophic-overfitting-2111.10754"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-unsupervised-learning-of-visual-representations-2111.10763</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-unsupervised-learning-of-visual-representations-2111.10763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-unsupervised-learning-of-visual-representations-2111.10763"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-softmax-approximation-for-deep-neural-networks-with-attention-mechanism-2111.10770</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-softmax-approximation-for-deep-neural-networks-with-attention-mechanism-2111.10770"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-softmax-approximation-for-deep-neural-networks-with-attention-mechanism-2111.10770"/></url>
<url><loc>https://scifaro.com/en/abs/network-representation-learning-a-macro-and-micro-view-2111.10772</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-representation-learning-a-macro-and-micro-view-2111.10772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-representation-learning-a-macro-and-micro-view-2111.10772"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-projection-for-constrained-deep-learning-2111.10785</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-projection-for-constrained-deep-learning-2111.10785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-projection-for-constrained-deep-learning-2111.10785"/></url>
<url><loc>https://scifaro.com/en/abs/vulcan-solving-the-steiner-tree-problem-with-graph-neural-networks-and-deep-reinforcement-learning-2111.10810</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vulcan-solving-the-steiner-tree-problem-with-graph-neural-networks-and-deep-reinforcement-learning-2111.10810"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vulcan-solving-the-steiner-tree-problem-with-graph-neural-networks-and-deep-reinforcement-learning-2111.10810"/></url>
<url><loc>https://scifaro.com/en/abs/learning-by-active-forgetting-for-neural-networks-2111.10831</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-by-active-forgetting-for-neural-networks-2111.10831"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-by-active-forgetting-for-neural-networks-2111.10831"/></url>
<url><loc>https://scifaro.com/en/abs/diffusion-tensor-estimation-with-uncertainty-calibration-2111.10847</loc><lastmod>2024-08-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffusion-tensor-estimation-with-uncertainty-calibration-2111.10847"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffusion-tensor-estimation-with-uncertainty-calibration-2111.10847"/></url>
<url><loc>https://scifaro.com/en/abs/accretionary-learning-with-deep-neural-networks-2111.10857</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accretionary-learning-with-deep-neural-networks-2111.10857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accretionary-learning-with-deep-neural-networks-2111.10857"/></url>
<url><loc>https://scifaro.com/en/abs/bilevel-learning-of-l1-regularizers-with-closed-form-gradients-blorc-2111.10858</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bilevel-learning-of-l1-regularizers-with-closed-form-gradients-blorc-2111.10858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bilevel-learning-of-l1-regularizers-with-closed-form-gradients-blorc-2111.10858"/></url>
<url><loc>https://scifaro.com/en/abs/offline-reinforcement-learning-fundamental-barriers-for-value-function-approximation-2111.10919</loc><lastmod>2022-08-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-reinforcement-learning-fundamental-barriers-for-value-function-approximation-2111.10919"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-reinforcement-learning-fundamental-barriers-for-value-function-approximation-2111.10919"/></url>
<url><loc>https://scifaro.com/en/abs/walkingtime-dynamic-graph-embedding-using-temporal-topological-flows-2111.10928</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/walkingtime-dynamic-graph-embedding-using-temporal-topological-flows-2111.10928"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/walkingtime-dynamic-graph-embedding-using-temporal-topological-flows-2111.10928"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-upper-confidence-bound-algorithms-for-homogeneous-multi-agent-multi-armed-bandits-2111.10933</loc><lastmod>2024-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-upper-confidence-bound-algorithms-for-homogeneous-multi-agent-multi-armed-bandits-2111.10933"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-upper-confidence-bound-algorithms-for-homogeneous-multi-agent-multi-armed-bandits-2111.10933"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-federated-adversarial-domain-adaption-over-feature-groups-for-interpretability-2111.10934</loc><lastmod>2022-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-federated-adversarial-domain-adaption-over-feature-groups-for-interpretability-2111.10934"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-federated-adversarial-domain-adaption-over-feature-groups-for-interpretability-2111.10934"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-transfer-learning-a-simple-but-effective-transfer-learning-2111.10937</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-transfer-learning-a-simple-but-effective-transfer-learning-2111.10937"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-transfer-learning-a-simple-but-effective-transfer-learning-2111.10937"/></url>
<url><loc>https://scifaro.com/en/abs/generation-drawing-grinding-trajectoy-based-on-hierarchical-cvae-2111.10954</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generation-drawing-grinding-trajectoy-based-on-hierarchical-cvae-2111.10954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generation-drawing-grinding-trajectoy-based-on-hierarchical-cvae-2111.10954"/></url>
<url><loc>https://scifaro.com/en/abs/a-semi-supervised-adaptive-discriminative-discretization-method-improving-discrimination-power-of-regularized-naive-bayes-2111.10983</loc><lastmod>2023-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-semi-supervised-adaptive-discriminative-discretization-method-improving-discrimination-power-of-regularized-naive-bayes-2111.10983"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-semi-supervised-adaptive-discriminative-discretization-method-improving-discrimination-power-of-regularized-naive-bayes-2111.10983"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-temporal-difference-with-momentum-stability-and-convergence-2111.11004</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-temporal-difference-with-momentum-stability-and-convergence-2111.11004"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-temporal-difference-with-momentum-stability-and-convergence-2111.11004"/></url>
<url><loc>https://scifaro.com/en/abs/density-ratio-estimation-via-infinitesimal-classification-2111.11010</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/density-ratio-estimation-via-infinitesimal-classification-2111.11010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/density-ratio-estimation-via-infinitesimal-classification-2111.11010"/></url>
<url><loc>https://scifaro.com/en/abs/benchmarking-emergency-department-triage-prediction-models-with-machine-learning-and-large-public-electronic-health-records-2111.11017</loc><lastmod>2024-12-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmarking-emergency-department-triage-prediction-models-with-machine-learning-and-large-public-electronic-health-records-2111.11017"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmarking-emergency-department-triage-prediction-models-with-machine-learning-and-large-public-electronic-health-records-2111.11017"/></url>
<url><loc>https://scifaro.com/en/abs/episodic-multi-agent-reinforcement-learning-with-curiosity-driven-exploration-2111.11032</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/episodic-multi-agent-reinforcement-learning-with-curiosity-driven-exploration-2111.11032"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/episodic-multi-agent-reinforcement-learning-with-curiosity-driven-exploration-2111.11032"/></url>
<url><loc>https://scifaro.com/en/abs/dapper-label-free-performance-estimation-after-personalization-for-heterogeneous-mobile-sensing-2111.11053</loc><lastmod>2023-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dapper-label-free-performance-estimation-after-personalization-for-heterogeneous-mobile-sensing-2111.11053"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dapper-label-free-performance-estimation-after-personalization-for-heterogeneous-mobile-sensing-2111.11053"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-time-series-outlier-detection-with-diversity-driven-convolutional-ensembles-extended-version-2111.11108</loc><lastmod>2024-04-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-time-series-outlier-detection-with-diversity-driven-convolutional-ensembles-extended-version-2111.11108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-time-series-outlier-detection-with-diversity-driven-convolutional-ensembles-extended-version-2111.11108"/></url>
<url><loc>https://scifaro.com/en/abs/case-based-off-policy-policy-evaluation-using-prototype-learning-2111.11113</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/case-based-off-policy-policy-evaluation-using-prototype-learning-2111.11113"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/case-based-off-policy-policy-evaluation-using-prototype-learning-2111.11113"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-existence-of-universal-lottery-tickets-2111.11146</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-existence-of-universal-lottery-tickets-2111.11146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-existence-of-universal-lottery-tickets-2111.11146"/></url>
<url><loc>https://scifaro.com/en/abs/plant-n-seek-can-you-find-the-winning-ticket-2111.11153</loc><lastmod>2022-06-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plant-n-seek-can-you-find-the-winning-ticket-2111.11153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plant-n-seek-can-you-find-the-winning-ticket-2111.11153"/></url>
<url><loc>https://scifaro.com/en/abs/graph-based-similarity-of-neural-network-representations-2111.11165</loc><lastmod>2022-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-based-similarity-of-neural-network-representations-2111.11165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-based-similarity-of-neural-network-representations-2111.11165"/></url>
<url><loc>https://scifaro.com/en/abs/feature-extraction-of-machine-learning-and-phase-transition-point-of-ising-model-2111.11166</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feature-extraction-of-machine-learning-and-phase-transition-point-of-ising-model-2111.11166"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feature-extraction-of-machine-learning-and-phase-transition-point-of-ising-model-2111.11166"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-the-unreasonable-effectiveness-of-learning-ac-opf-solutions-2111.11168</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-the-unreasonable-effectiveness-of-learning-ac-opf-solutions-2111.11168"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-the-unreasonable-effectiveness-of-learning-ac-opf-solutions-2111.11168"/></url>
<url><loc>https://scifaro.com/en/abs/plan-better-amid-conservatism-offline-multi-agent-reinforcement-learning-with-actor-rectification-2111.11188</loc><lastmod>2022-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/plan-better-amid-conservatism-offline-multi-agent-reinforcement-learning-with-actor-rectification-2111.11188"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/plan-better-amid-conservatism-offline-multi-agent-reinforcement-learning-with-actor-rectification-2111.11188"/></url>
<url><loc>https://scifaro.com/en/abs/a-data-centric-behavioral-machine-learning-platform-to-reduce-health-inequalities-2111.11203</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-data-centric-behavioral-machine-learning-platform-to-reduce-health-inequalities-2111.11203"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-data-centric-behavioral-machine-learning-platform-to-reduce-health-inequalities-2111.11203"/></url>
<url><loc>https://scifaro.com/en/abs/client-selection-in-federated-learning-based-on-gradients-importance-2111.11204</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/client-selection-in-federated-learning-based-on-gradients-importance-2111.11204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/client-selection-in-federated-learning-based-on-gradients-importance-2111.11204"/></url>
<url><loc>https://scifaro.com/en/abs/improved-sample-complexity-bounds-for-branch-and-cut-2111.11207</loc><lastmod>2022-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-sample-complexity-bounds-for-branch-and-cut-2111.11207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-sample-complexity-bounds-for-branch-and-cut-2111.11207"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-class-incremental-learning-2111.11208</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-class-incremental-learning-2111.11208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-class-incremental-learning-2111.11208"/></url>
<url><loc>https://scifaro.com/en/abs/gcr-gradient-coreset-based-replay-buffer-selection-for-continual-learning-2111.11210</loc><lastmod>2022-04-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gcr-gradient-coreset-based-replay-buffer-selection-for-continual-learning-2111.11210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gcr-gradient-coreset-based-replay-buffer-selection-for-continual-learning-2111.11210"/></url>
<url><loc>https://scifaro.com/en/abs/finding-useful-predictions-by-meta-gradient-descent-to-improve-decision-making-2111.11212</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finding-useful-predictions-by-meta-gradient-descent-to-improve-decision-making-2111.11212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finding-useful-predictions-by-meta-gradient-descent-to-improve-decision-making-2111.11212"/></url>
<url><loc>https://scifaro.com/en/abs/learn-quasi-stationary-distributions-of-finite-state-markov-chain-2111.11213</loc><lastmod>2022-09-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-quasi-stationary-distributions-of-finite-state-markov-chain-2111.11213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-quasi-stationary-distributions-of-finite-state-markov-chain-2111.11213"/></url>
<url><loc>https://scifaro.com/en/abs/off-policy-correction-for-multi-agent-reinforcement-learning-2111.11229</loc><lastmod>2024-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/off-policy-correction-for-multi-agent-reinforcement-learning-2111.11229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/off-policy-correction-for-multi-agent-reinforcement-learning-2111.11229"/></url>
<url><loc>https://scifaro.com/en/abs/policy-gradient-and-actor-critic-learning-in-continuous-time-and-space-theory-and-algorithms-2111.11232</loc><lastmod>2022-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/policy-gradient-and-actor-critic-learning-in-continuous-time-and-space-theory-and-algorithms-2111.11232"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/policy-gradient-and-actor-critic-learning-in-continuous-time-and-space-theory-and-algorithms-2111.11232"/></url>
<url><loc>https://scifaro.com/en/abs/lequa-clef2022-learning-to-quantify-2111.11249</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lequa-clef2022-learning-to-quantify-2111.11249"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lequa-clef2022-learning-to-quantify-2111.11249"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-based-soft-sensors-for-vacuum-distillation-unit-2111.11251</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-based-soft-sensors-for-vacuum-distillation-unit-2111.11251"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-based-soft-sensors-for-vacuum-distillation-unit-2111.11251"/></url>
<url><loc>https://scifaro.com/en/abs/model-agnostic-bias-mitigation-methods-with-regressor-distribution-control-for-wasserstein-based-fairness-metrics-2111.11259</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-agnostic-bias-mitigation-methods-with-regressor-distribution-control-for-wasserstein-based-fairness-metrics-2111.11259"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-agnostic-bias-mitigation-methods-with-regressor-distribution-control-for-wasserstein-based-fairness-metrics-2111.11259"/></url>
<url><loc>https://scifaro.com/en/abs/somps-net-attention-based-social-graph-framework-for-early-detection-of-fake-health-news-2111.11272</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/somps-net-attention-based-social-graph-framework-for-early-detection-of-fake-health-news-2111.11272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/somps-net-attention-based-social-graph-framework-for-early-detection-of-fake-health-news-2111.11272"/></url>
<url><loc>https://scifaro.com/en/abs/barriernet-a-safety-guaranteed-layer-for-neural-networks-2111.11277</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/barriernet-a-safety-guaranteed-layer-for-neural-networks-2111.11277"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/barriernet-a-safety-guaranteed-layer-for-neural-networks-2111.11277"/></url>
<url><loc>https://scifaro.com/en/abs/teaching-humans-when-to-defer-to-a-classifier-via-exemplars-2111.11297</loc><lastmod>2021-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/teaching-humans-when-to-defer-to-a-classifier-via-exemplars-2111.11297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/teaching-humans-when-to-defer-to-a-classifier-via-exemplars-2111.11297"/></url>
<url><loc>https://scifaro.com/en/abs/no-regret-dynamics-in-the-fenchel-game-a-unified-framework-for-algorithmic-convex-optimization-2111.11309</loc><lastmod>2023-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/no-regret-dynamics-in-the-fenchel-game-a-unified-framework-for-algorithmic-convex-optimization-2111.11309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/no-regret-dynamics-in-the-fenchel-game-a-unified-framework-for-algorithmic-convex-optimization-2111.11309"/></url>
<url><loc>https://scifaro.com/en/abs/cycle-consistent-probability-divergences-across-different-spaces-2111.11328</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cycle-consistent-probability-divergences-across-different-spaces-2111.11328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cycle-consistent-probability-divergences-across-different-spaces-2111.11328"/></url>
<url><loc>https://scifaro.com/en/abs/network-wide-multi-step-traffic-volume-prediction-using-graph-convolutional-gated-recurrent-neural-network-2111.11337</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-wide-multi-step-traffic-volume-prediction-using-graph-convolutional-gated-recurrent-neural-network-2111.11337"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-wide-multi-step-traffic-volume-prediction-using-graph-convolutional-gated-recurrent-neural-network-2111.11337"/></url>
<url><loc>https://scifaro.com/en/abs/decentralized-federated-learning-through-proxy-model-sharing-2111.11343</loc><lastmod>2023-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decentralized-federated-learning-through-proxy-model-sharing-2111.11343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decentralized-federated-learning-through-proxy-model-sharing-2111.11343"/></url>
<url><loc>https://scifaro.com/en/abs/modeling-irregular-time-series-with-continuous-recurrent-units-2111.11344</loc><lastmod>2022-07-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modeling-irregular-time-series-with-continuous-recurrent-units-2111.11344"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modeling-irregular-time-series-with-continuous-recurrent-units-2111.11344"/></url>
<url><loc>https://scifaro.com/en/abs/a-surrogate-objective-framework-for-prediction-optimization-with-soft-constraints-2111.11358</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-surrogate-objective-framework-for-prediction-optimization-with-soft-constraints-2111.11358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-surrogate-objective-framework-for-prediction-optimization-with-soft-constraints-2111.11358"/></url>
<url><loc>https://scifaro.com/en/abs/improved-model-based-deep-learning-using-monotone-operator-learning-mol-2111.11380</loc><lastmod>2021-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improved-model-based-deep-learning-using-monotone-operator-learning-mol-2111.11380"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improved-model-based-deep-learning-using-monotone-operator-learning-mol-2111.11380"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-resistant-graph-neural-networks-via-neural-architecture-search-2111.11406</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-resistant-graph-neural-networks-via-neural-architecture-search-2111.11406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-resistant-graph-neural-networks-via-neural-architecture-search-2111.11406"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-model-for-mortality-analysis-of-pregnant-women-affected-with-covid-19-2111.11477</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-model-for-mortality-analysis-of-pregnant-women-affected-with-covid-19-2111.11477"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-model-for-mortality-analysis-of-pregnant-women-affected-with-covid-19-2111.11477"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-with-parallel-neighborhood-aggregations-for-graph-classification-2111.11482</loc><lastmod>2022-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-with-parallel-neighborhood-aggregations-for-graph-classification-2111.11482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-with-parallel-neighborhood-aggregations-for-graph-classification-2111.11482"/></url>
<url><loc>https://scifaro.com/en/abs/bootstrap-your-flow-2111.11510</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bootstrap-your-flow-2111.11510"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bootstrap-your-flow-2111.11510"/></url>
<url><loc>https://scifaro.com/en/abs/on-data-centric-myths-2111.11514</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-data-centric-myths-2111.11514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-data-centric-myths-2111.11514"/></url>
<url><loc>https://scifaro.com/en/abs/learnable-structural-semantic-readout-for-graph-classification-2111.11523</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learnable-structural-semantic-readout-for-graph-classification-2111.11523"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learnable-structural-semantic-readout-for-graph-classification-2111.11523"/></url>
<url><loc>https://scifaro.com/en/abs/component-transfer-learning-for-deep-rl-based-on-abstract-representations-2111.11525</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/component-transfer-learning-for-deep-rl-based-on-abstract-representations-2111.11525"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/component-transfer-learning-for-deep-rl-based-on-abstract-representations-2111.11525"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-regret-for-strongly-adaptive-methods-and-optimality-of-online-krr-2111.11550</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-regret-for-strongly-adaptive-methods-and-optimality-of-online-krr-2111.11550"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-regret-for-strongly-adaptive-methods-and-optimality-of-online-krr-2111.11550"/></url>
<url><loc>https://scifaro.com/en/abs/flix-a-simple-and-communication-efficient-alternative-to-local-methods-in-federated-learning-2111.11556</loc><lastmod>2022-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flix-a-simple-and-communication-efficient-alternative-to-local-methods-in-federated-learning-2111.11556"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flix-a-simple-and-communication-efficient-alternative-to-local-methods-in-federated-learning-2111.11556"/></url>
<url><loc>https://scifaro.com/en/abs/building-goal-oriented-dialogue-systems-with-situated-visual-context-2111.11576</loc><lastmod>2021-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-goal-oriented-dialogue-systems-with-situated-visual-context-2111.11576"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-goal-oriented-dialogue-systems-with-situated-visual-context-2111.11576"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-mapping-of-the-best-suited-dnn-pruning-schemes-for-real-time-mobile-acceleration-2111.11581</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-mapping-of-the-best-suited-dnn-pruning-schemes-for-real-time-mobile-acceleration-2111.11581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-mapping-of-the-best-suited-dnn-pruning-schemes-for-real-time-mobile-acceleration-2111.11581"/></url>
<url><loc>https://scifaro.com/en/abs/lossless-compression-with-probabilistic-circuits-2111.11632</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lossless-compression-with-probabilistic-circuits-2111.11632"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lossless-compression-with-probabilistic-circuits-2111.11632"/></url>
<url><loc>https://scifaro.com/en/abs/network-in-graph-neural-network-2111.11638</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-in-graph-neural-network-2111.11638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-in-graph-neural-network-2111.11638"/></url>
<url><loc>https://scifaro.com/en/abs/codim-learning-with-noisy-labels-via-contrastive-semi-supervised-learning-2111.11652</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/codim-learning-with-noisy-labels-via-contrastive-semi-supervised-learning-2111.11652"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/codim-learning-with-noisy-labels-via-contrastive-semi-supervised-learning-2111.11652"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-manifold-learning-for-small-sample-size-datasets-2111.11655</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-manifold-learning-for-small-sample-size-datasets-2111.11655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-manifold-learning-for-small-sample-size-datasets-2111.11655"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-based-fast-solver-of-the-shallow-water-equations-2111.11702</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-based-fast-solver-of-the-shallow-water-equations-2111.11702"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-based-fast-solver-of-the-shallow-water-equations-2111.11702"/></url>
<url><loc>https://scifaro.com/en/abs/a-contextual-latent-space-model-subsequence-modulation-in-melodic-sequence-2111.11703</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-contextual-latent-space-model-subsequence-modulation-in-melodic-sequence-2111.11703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-contextual-latent-space-model-subsequence-modulation-in-melodic-sequence-2111.11703"/></url>
<url><loc>https://scifaro.com/en/abs/link-analysis-meets-ontologies-are-embeddings-the-answer-2111.11710</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/link-analysis-meets-ontologies-are-embeddings-the-answer-2111.11710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/link-analysis-meets-ontologies-are-embeddings-the-answer-2111.11710"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-imitation-learning-via-reward-function-trained-in-advance-2111.11711</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-imitation-learning-via-reward-function-trained-in-advance-2111.11711"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-imitation-learning-via-reward-function-trained-in-advance-2111.11711"/></url>
<url><loc>https://scifaro.com/en/abs/variational-encoder-geostatistical-analysis-vegas-with-an-application-to-large-scale-riverine-bathymetry-2111.11719</loc><lastmod>2022-11-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-encoder-geostatistical-analysis-vegas-with-an-application-to-large-scale-riverine-bathymetry-2111.11719"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-encoder-geostatistical-analysis-vegas-with-an-application-to-large-scale-riverine-bathymetry-2111.11719"/></url>
<url><loc>https://scifaro.com/en/abs/the-impact-of-data-distribution-on-q-learning-with-function-approximation-2111.11758</loc><lastmod>2023-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-impact-of-data-distribution-on-q-learning-with-function-approximation-2111.11758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-impact-of-data-distribution-on-q-learning-with-function-approximation-2111.11758"/></url>
<url><loc>https://scifaro.com/en/abs/uncertainty-estimation-under-model-misspecification-in-neural-network-regression-2111.11763</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/uncertainty-estimation-under-model-misspecification-in-neural-network-regression-2111.11763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/uncertainty-estimation-under-model-misspecification-in-neural-network-regression-2111.11763"/></url>
<url><loc>https://scifaro.com/en/abs/schedule-based-temporal-difference-algorithms-2111.11768</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/schedule-based-temporal-difference-algorithms-2111.11768"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/schedule-based-temporal-difference-algorithms-2111.11768"/></url>
<url><loc>https://scifaro.com/en/abs/end-to-end-optimized-arrhythmia-detection-pipeline-using-machine-learning-for-ultra-edge-devices-2111.11789</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/end-to-end-optimized-arrhythmia-detection-pipeline-using-machine-learning-for-ultra-edge-devices-2111.11789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/end-to-end-optimized-arrhythmia-detection-pipeline-using-machine-learning-for-ultra-edge-devices-2111.11789"/></url>
<url><loc>https://scifaro.com/en/abs/composing-partial-differential-equations-with-physics-aware-neural-networks-2111.11798</loc><lastmod>2022-05-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/composing-partial-differential-equations-with-physics-aware-neural-networks-2111.11798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/composing-partial-differential-equations-with-physics-aware-neural-networks-2111.11798"/></url>
<url><loc>https://scifaro.com/en/abs/variance-reduction-in-deep-learning-more-momentum-is-all-you-need-2111.11828</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variance-reduction-in-deep-learning-more-momentum-is-all-you-need-2111.11828"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variance-reduction-in-deep-learning-more-momentum-is-all-you-need-2111.11828"/></url>
<url><loc>https://scifaro.com/en/abs/subgraph-permutation-equivariant-networks-2111.11840</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subgraph-permutation-equivariant-networks-2111.11840"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subgraph-permutation-equivariant-networks-2111.11840"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-high-flow-nasal-cannula-failure-in-an-icu-using-a-recurrent-neural-network-with-transfer-learning-and-input-data-perseveration-a-retrospective-analysis-2111.11846</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-high-flow-nasal-cannula-failure-in-an-icu-using-a-recurrent-neural-network-with-transfer-learning-and-input-data-perseveration-a-retrospective-analysis-2111.11846"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-high-flow-nasal-cannula-failure-in-an-icu-using-a-recurrent-neural-network-with-transfer-learning-and-input-data-perseveration-a-retrospective-analysis-2111.11846"/></url>
<url><loc>https://scifaro.com/en/abs/time-series-prediction-about-air-quality-using-lstm-based-models-a-systematic-mapping-2111.11848</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/time-series-prediction-about-air-quality-using-lstm-based-models-a-systematic-mapping-2111.11848"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/time-series-prediction-about-air-quality-using-lstm-based-models-a-systematic-mapping-2111.11848"/></url>
<url><loc>https://scifaro.com/en/abs/machine-unlearning-via-gan-2111.11869</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-unlearning-via-gan-2111.11869"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-unlearning-via-gan-2111.11869"/></url>
<url><loc>https://scifaro.com/en/abs/depth-induces-scale-averaging-in-overparameterized-linear-bayesian-neural-networks-2111.11954</loc><lastmod>2022-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/depth-induces-scale-averaging-in-overparameterized-linear-bayesian-neural-networks-2111.11954"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/depth-induces-scale-averaging-in-overparameterized-linear-bayesian-neural-networks-2111.11954"/></url>
<url><loc>https://scifaro.com/en/abs/ptype-cat-inferring-the-type-and-values-of-categorical-variables-2111.11956</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ptype-cat-inferring-the-type-and-values-of-categorical-variables-2111.11956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ptype-cat-inferring-the-type-and-values-of-categorical-variables-2111.11956"/></url>
<url><loc>https://scifaro.com/en/abs/identifying-the-units-of-measurement-in-tabular-data-2111.11959</loc><lastmod>2021-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identifying-the-units-of-measurement-in-tabular-data-2111.11959"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identifying-the-units-of-measurement-in-tabular-data-2111.11959"/></url>
<url><loc>https://scifaro.com/en/abs/reviewing-continual-learning-from-the-perspective-of-human-level-intelligence-2111.11964</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reviewing-continual-learning-from-the-perspective-of-human-level-intelligence-2111.11964"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reviewing-continual-learning-from-the-perspective-of-human-level-intelligence-2111.11964"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-learning-for-optimal-load-shedding-under-power-grid-emergency-operations-2111.11980</loc><lastmod>2022-01-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-learning-for-optimal-load-shedding-under-power-grid-emergency-operations-2111.11980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-learning-for-optimal-load-shedding-under-power-grid-emergency-operations-2111.11980"/></url>
<url><loc>https://scifaro.com/en/abs/hero-hessian-enhanced-robust-optimization-for-unifying-and-improving-generalization-and-quantization-performance-2111.11986</loc><lastmod>2021-11-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hero-hessian-enhanced-robust-optimization-for-unifying-and-improving-generalization-and-quantization-performance-2111.11986"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hero-hessian-enhanced-robust-optimization-for-unifying-and-improving-generalization-and-quantization-performance-2111.11986"/></url>
<url><loc>https://scifaro.com/en/abs/appliance-level-short-term-load-forecasting-via-recurrent-neural-network-2111.11998</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/appliance-level-short-term-load-forecasting-via-recurrent-neural-network-2111.11998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/appliance-level-short-term-load-forecasting-via-recurrent-neural-network-2111.11998"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-sampling-for-solving-differential-equations-with-neural-networks-2111.12024</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-sampling-for-solving-differential-equations-with-neural-networks-2111.12024"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-sampling-for-solving-differential-equations-with-neural-networks-2111.12024"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-machine-learning-for-protecting-against-online-manipulation-2111.12034</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-machine-learning-for-protecting-against-online-manipulation-2111.12034"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-machine-learning-for-protecting-against-online-manipulation-2111.12034"/></url>
<url><loc>https://scifaro.com/en/abs/learning-symbolic-rules-for-reasoning-in-quasi-natural-language-2111.12038</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-symbolic-rules-for-reasoning-in-quasi-natural-language-2111.12038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-symbolic-rules-for-reasoning-in-quasi-natural-language-2111.12038"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-multi-goal-exploration-2111.12045</loc><lastmod>2022-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-multi-goal-exploration-2111.12045"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-multi-goal-exploration-2111.12045"/></url>
<url><loc>https://scifaro.com/en/abs/simple-stochastic-and-online-gradient-descent-algorithms-for-pairwise-learning-2111.12050</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/simple-stochastic-and-online-gradient-descent-algorithms-for-pairwise-learning-2111.12050"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/simple-stochastic-and-online-gradient-descent-algorithms-for-pairwise-learning-2111.12050"/></url>
<url><loc>https://scifaro.com/en/abs/generating-gpu-compiler-heuristics-using-reinforcement-learning-2111.12055</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generating-gpu-compiler-heuristics-using-reinforcement-learning-2111.12055"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generating-gpu-compiler-heuristics-using-reinforcement-learning-2111.12055"/></url>
<url><loc>https://scifaro.com/en/abs/forget-svgd-particle-based-bayesian-federated-unlearning-2111.12056</loc><lastmod>2021-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forget-svgd-particle-based-bayesian-federated-unlearning-2111.12056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forget-svgd-particle-based-bayesian-federated-unlearning-2111.12056"/></url>
<url><loc>https://scifaro.com/en/abs/dabs-a-domain-agnostic-benchmark-for-self-supervised-learning-2111.12062</loc><lastmod>2023-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dabs-a-domain-agnostic-benchmark-for-self-supervised-learning-2111.12062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dabs-a-domain-agnostic-benchmark-for-self-supervised-learning-2111.12062"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-unreasonable-effectiveness-of-feature-propagation-in-learning-on-graphs-with-missing-node-features-2111.12128</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-unreasonable-effectiveness-of-feature-propagation-in-learning-on-graphs-with-missing-node-features-2111.12128"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-unreasonable-effectiveness-of-feature-propagation-in-learning-on-graphs-with-missing-node-features-2111.12128"/></url>
<url><loc>https://scifaro.com/en/abs/robust-principal-component-analysis-a-construction-error-minimization-perspective-2111.12132</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-principal-component-analysis-a-construction-error-minimization-perspective-2111.12132"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-principal-component-analysis-a-construction-error-minimization-perspective-2111.12132"/></url>
<url><loc>https://scifaro.com/en/abs/cheblienet-invariant-spectral-graph-nns-turned-equivariant-by-riemannian-geometry-on-lie-groups-2111.12139</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cheblienet-invariant-spectral-graph-nns-turned-equivariant-by-riemannian-geometry-on-lie-groups-2111.12139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cheblienet-invariant-spectral-graph-nns-turned-equivariant-by-riemannian-geometry-on-lie-groups-2111.12139"/></url>
<url><loc>https://scifaro.com/en/abs/filter-methods-for-feature-selection-in-supervised-machine-learning-applications-review-and-benchmark-2111.12140</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/filter-methods-for-feature-selection-in-supervised-machine-learning-applications-review-and-benchmark-2111.12140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/filter-methods-for-feature-selection-in-supervised-machine-learning-applications-review-and-benchmark-2111.12140"/></url>
<url><loc>https://scifaro.com/en/abs/critical-initialization-of-wide-and-deep-neural-networks-through-partial-jacobians-general-theory-and-applications-2111.12143</loc><lastmod>2023-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/critical-initialization-of-wide-and-deep-neural-networks-through-partial-jacobians-general-theory-and-applications-2111.12143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/critical-initialization-of-wide-and-deep-neural-networks-through-partial-jacobians-general-theory-and-applications-2111.12143"/></url>
<url><loc>https://scifaro.com/en/abs/sharing-to-learn-and-learning-to-share-fitting-together-meta-learning-multi-task-learning-and-transfer-learning-a-meta-review-2111.12146</loc><lastmod>2024-10-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sharing-to-learn-and-learning-to-share-fitting-together-meta-learning-multi-task-learning-and-transfer-learning-a-meta-review-2111.12146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sharing-to-learn-and-learning-to-share-fitting-together-meta-learning-multi-task-learning-and-transfer-learning-a-meta-review-2111.12146"/></url>
<url><loc>https://scifaro.com/en/abs/jointly-learning-from-decentralized-federated-and-centralized-data-to-mitigate-distribution-shift-2111.12150</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jointly-learning-from-decentralized-federated-and-centralized-data-to-mitigate-distribution-shift-2111.12150"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jointly-learning-from-decentralized-federated-and-centralized-data-to-mitigate-distribution-shift-2111.12150"/></url>
<url><loc>https://scifaro.com/en/abs/best-arm-identification-with-safety-constraints-2111.12151</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-arm-identification-with-safety-constraints-2111.12151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-arm-identification-with-safety-constraints-2111.12151"/></url>
<url><loc>https://scifaro.com/en/abs/using-language-model-to-bootstrap-human-activity-recognition-ambient-sensors-based-in-smart-homes-2111.12158</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-language-model-to-bootstrap-human-activity-recognition-ambient-sensors-based-in-smart-homes-2111.12158"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-language-model-to-bootstrap-human-activity-recognition-ambient-sensors-based-in-smart-homes-2111.12158"/></url>
<url><loc>https://scifaro.com/en/abs/domain-agnostic-clustering-with-self-distillation-2111.12170</loc><lastmod>2021-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/domain-agnostic-clustering-with-self-distillation-2111.12170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/domain-agnostic-clustering-with-self-distillation-2111.12170"/></url>
<url><loc>https://scifaro.com/en/abs/three-way-deep-neural-network-for-radio-frequency-map-generation-and-source-localization-2111.12175</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/three-way-deep-neural-network-for-radio-frequency-map-generation-and-source-localization-2111.12175"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/three-way-deep-neural-network-for-radio-frequency-map-generation-and-source-localization-2111.12175"/></url>
<url><loc>https://scifaro.com/en/abs/input-convex-gradient-networks-2111.12187</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/input-convex-gradient-networks-2111.12187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/input-convex-gradient-networks-2111.12187"/></url>
<url><loc>https://scifaro.com/en/abs/multiset-equivariant-set-prediction-with-approximate-implicit-differentiation-2111.12193</loc><lastmod>2022-02-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multiset-equivariant-set-prediction-with-approximate-implicit-differentiation-2111.12193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multiset-equivariant-set-prediction-with-approximate-implicit-differentiation-2111.12193"/></url>
<url><loc>https://scifaro.com/en/abs/subspace-adversarial-training-2111.12229</loc><lastmod>2022-03-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/subspace-adversarial-training-2111.12229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/subspace-adversarial-training-2111.12229"/></url>
<url><loc>https://scifaro.com/en/abs/animal-behavior-classification-via-deep-learning-on-embedded-systems-2111.12295</loc><lastmod>2022-10-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/animal-behavior-classification-via-deep-learning-on-embedded-systems-2111.12295"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/animal-behavior-classification-via-deep-learning-on-embedded-systems-2111.12295"/></url>
<url><loc>https://scifaro.com/en/abs/eh-dnas-end-to-end-hardware-aware-differentiable-neural-architecture-search-2111.12299</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eh-dnas-end-to-end-hardware-aware-differentiable-neural-architecture-search-2111.12299"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eh-dnas-end-to-end-hardware-aware-differentiable-neural-architecture-search-2111.12299"/></url>
<url><loc>https://scifaro.com/en/abs/thundernna-a-white-box-adversarial-attack-2111.12305</loc><lastmod>2024-01-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/thundernna-a-white-box-adversarial-attack-2111.12305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/thundernna-a-white-box-adversarial-attack-2111.12305"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-and-optimal-algorithms-for-contextual-dueling-bandits-under-realizability-2111.12306</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-and-optimal-algorithms-for-contextual-dueling-bandits-under-realizability-2111.12306"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-and-optimal-algorithms-for-contextual-dueling-bandits-under-realizability-2111.12306"/></url>
<url><loc>https://scifaro.com/en/abs/supervised-neural-discrete-universal-denoiser-for-adaptive-denoising-2111.12350</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/supervised-neural-discrete-universal-denoiser-for-adaptive-denoising-2111.12350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/supervised-neural-discrete-universal-denoiser-for-adaptive-denoising-2111.12350"/></url>
<url><loc>https://scifaro.com/en/abs/dictionary-based-low-rank-approximations-and-the-mixed-sparse-coding-problem-2111.12399</loc><lastmod>2022-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dictionary-based-low-rank-approximations-and-the-mixed-sparse-coding-problem-2111.12399"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dictionary-based-low-rank-approximations-and-the-mixed-sparse-coding-problem-2111.12399"/></url>
<url><loc>https://scifaro.com/en/abs/challenges-of-adversarial-image-augmentations-2111.12427</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-of-adversarial-image-augmentations-2111.12427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-of-adversarial-image-augmentations-2111.12427"/></url>
<url><loc>https://scifaro.com/en/abs/tsflex-flexible-time-series-processing-feature-extraction-2111.12429</loc><lastmod>2021-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tsflex-flexible-time-series-processing-feature-extraction-2111.12429"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tsflex-flexible-time-series-processing-feature-extraction-2111.12429"/></url>
<url><loc>https://scifaro.com/en/abs/matching-learned-causal-effects-of-neural-networks-with-domain-priors-2111.12490</loc><lastmod>2022-06-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/matching-learned-causal-effects-of-neural-networks-with-domain-priors-2111.12490"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/matching-learned-causal-effects-of-neural-networks-with-domain-priors-2111.12490"/></url>
<url><loc>https://scifaro.com/en/abs/altering-backward-pass-gradients-improves-convergence-2111.12495</loc><lastmod>2022-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/altering-backward-pass-gradients-improves-convergence-2111.12495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/altering-backward-pass-gradients-improves-convergence-2111.12495"/></url>
<url><loc>https://scifaro.com/en/abs/generalized-normalizing-flows-via-markov-chains-2111.12506</loc><lastmod>2023-02-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalized-normalizing-flows-via-markov-chains-2111.12506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalized-normalizing-flows-via-markov-chains-2111.12506"/></url>
<url><loc>https://scifaro.com/en/abs/modelpred-a-framework-for-predicting-trained-model-from-training-data-2111.12545</loc><lastmod>2022-12-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/modelpred-a-framework-for-predicting-trained-model-from-training-data-2111.12545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/modelpred-a-framework-for-predicting-trained-model-from-training-data-2111.12545"/></url>
<url><loc>https://scifaro.com/en/abs/learning-state-representations-via-retracing-in-reinforcement-learning-2111.12600</loc><lastmod>2022-09-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-state-representations-via-retracing-in-reinforcement-learning-2111.12600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-state-representations-via-retracing-in-reinforcement-learning-2111.12600"/></url>
<url><loc>https://scifaro.com/en/abs/deep-metric-learning-improves-lab-of-origin-prediction-of-genetically-engineered-plasmids-2111.12606</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-metric-learning-improves-lab-of-origin-prediction-of-genetically-engineered-plasmids-2111.12606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-metric-learning-improves-lab-of-origin-prediction-of-genetically-engineered-plasmids-2111.12606"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-deep-learning-with-dynamic-data-pruning-2111.12621</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-deep-learning-with-dynamic-data-pruning-2111.12621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-deep-learning-with-dynamic-data-pruning-2111.12621"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-decompositional-rule-extraction-for-deep-neural-networks-2111.12628</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-decompositional-rule-extraction-for-deep-neural-networks-2111.12628"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-decompositional-rule-extraction-for-deep-neural-networks-2111.12628"/></url>
<url><loc>https://scifaro.com/en/abs/finite-time-error-bounds-for-distributed-linear-stochastic-approximation-2111.12665</loc><lastmod>2023-10-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/finite-time-error-bounds-for-distributed-linear-stochastic-approximation-2111.12665"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/finite-time-error-bounds-for-distributed-linear-stochastic-approximation-2111.12665"/></url>
<url><loc>https://scifaro.com/en/abs/adaptively-calibrated-critic-estimates-for-deep-reinforcement-learning-2111.12673</loc><lastmod>2022-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptively-calibrated-critic-estimates-for-deep-reinforcement-learning-2111.12673"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptively-calibrated-critic-estimates-for-deep-reinforcement-learning-2111.12673"/></url>
<url><loc>https://scifaro.com/en/abs/an-xgboost-based-forecasting-framework-for-product-cannibalization-2111.12680</loc><lastmod>2021-11-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-xgboost-based-forecasting-framework-for-product-cannibalization-2111.12680"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-xgboost-based-forecasting-framework-for-product-cannibalization-2111.12680"/></url>
<url><loc>https://scifaro.com/en/abs/sparse-is-enough-in-scaling-transformers-2111.12763</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sparse-is-enough-in-scaling-transformers-2111.12763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sparse-is-enough-in-scaling-transformers-2111.12763"/></url>
<url><loc>https://scifaro.com/en/abs/joinable-learning-bottom-up-assembly-of-parametric-cad-joints-2111.12772</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joinable-learning-bottom-up-assembly-of-parametric-cad-joints-2111.12772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joinable-learning-bottom-up-assembly-of-parametric-cad-joints-2111.12772"/></url>
<url><loc>https://scifaro.com/en/abs/imbens-ensemble-class-imbalanced-learning-in-python-2111.12776</loc><lastmod>2023-02-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imbens-ensemble-class-imbalanced-learning-in-python-2111.12776"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imbens-ensemble-class-imbalanced-learning-in-python-2111.12776"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-nonparametric-regression-under-a-growth-condition-2111.12786</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-nonparametric-regression-under-a-growth-condition-2111.12786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-nonparametric-regression-under-a-growth-condition-2111.12786"/></url>
<url><loc>https://scifaro.com/en/abs/algorithm-and-hardware-co-design-for-reconfigurable-cnn-accelerator-2111.12787</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/algorithm-and-hardware-co-design-for-reconfigurable-cnn-accelerator-2111.12787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/algorithm-and-hardware-co-design-for-reconfigurable-cnn-accelerator-2111.12787"/></url>
<url><loc>https://scifaro.com/en/abs/handling-inter-class-and-intra-class-imbalance-in-class-imbalanced-learning-2111.12791</loc><lastmod>2022-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/handling-inter-class-and-intra-class-imbalance-in-class-imbalanced-learning-2111.12791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/handling-inter-class-and-intra-class-imbalance-in-class-imbalanced-learning-2111.12791"/></url>
<url><loc>https://scifaro.com/en/abs/react-out-of-distribution-detection-with-rectified-activations-2111.12797</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/react-out-of-distribution-detection-with-rectified-activations-2111.12797"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/react-out-of-distribution-detection-with-rectified-activations-2111.12797"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-priors-for-scientific-generative-models-in-inertial-confinement-fusion-2111.12798</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-priors-for-scientific-generative-models-in-inertial-confinement-fusion-2111.12798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-priors-for-scientific-generative-models-in-inertial-confinement-fusion-2111.12798"/></url>
<url><loc>https://scifaro.com/en/abs/fairness-for-auc-via-feature-augmentation-2111.12823</loc><lastmod>2022-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fairness-for-auc-via-feature-augmentation-2111.12823"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fairness-for-auc-via-feature-augmentation-2111.12823"/></url>
<url><loc>https://scifaro.com/en/abs/animal-behavior-classification-via-accelerometry-data-and-recurrent-neural-networks-2111.12843</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/animal-behavior-classification-via-accelerometry-data-and-recurrent-neural-networks-2111.12843"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/animal-behavior-classification-via-accelerometry-data-and-recurrent-neural-networks-2111.12843"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-approach-for-macroscopic-energy-consumption-prediction-with-microscopic-quality-for-electric-vehicles-2111.12861</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-approach-for-macroscopic-energy-consumption-prediction-with-microscopic-quality-for-electric-vehicles-2111.12861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-approach-for-macroscopic-energy-consumption-prediction-with-microscopic-quality-for-electric-vehicles-2111.12861"/></url>
<url><loc>https://scifaro.com/en/abs/multi-fidelity-stability-for-graph-representation-learning-2111.12865</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-fidelity-stability-for-graph-representation-learning-2111.12865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-fidelity-stability-for-graph-representation-learning-2111.12865"/></url>
<url><loc>https://scifaro.com/en/abs/a-letter-on-convergence-of-in-parameter-linear-nonlinear-neural-architectures-with-gradient-learnings-2111.12877</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-letter-on-convergence-of-in-parameter-linear-nonlinear-neural-architectures-with-gradient-learnings-2111.12877"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-letter-on-convergence-of-in-parameter-linear-nonlinear-neural-architectures-with-gradient-learnings-2111.12877"/></url>
<url><loc>https://scifaro.com/en/abs/sla-2-p-self-supervised-anomaly-detection-with-adversarial-perturbation-2111.12896</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sla-2-p-self-supervised-anomaly-detection-with-adversarial-perturbation-2111.12896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sla-2-p-self-supervised-anomaly-detection-with-adversarial-perturbation-2111.12896"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-against-adversarial-attacks-in-neural-networks-using-incremental-dissipativity-2111.12906</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-against-adversarial-attacks-in-neural-networks-using-incremental-dissipativity-2111.12906"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-against-adversarial-attacks-in-neural-networks-using-incremental-dissipativity-2111.12906"/></url>
<url><loc>https://scifaro.com/en/abs/fragment-based-molecular-generative-model-with-high-generalization-ability-and-synthetic-accessibility-2111.12907</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fragment-based-molecular-generative-model-with-high-generalization-ability-and-synthetic-accessibility-2111.12907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fragment-based-molecular-generative-model-with-high-generalization-ability-and-synthetic-accessibility-2111.12907"/></url>
<url><loc>https://scifaro.com/en/abs/clustering-effect-of-linearized-adversarial-robust-models-2111.12922</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clustering-effect-of-linearized-adversarial-robust-models-2111.12922"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clustering-effect-of-linearized-adversarial-robust-models-2111.12922"/></url>
<url><loc>https://scifaro.com/en/abs/deep-representation-learning-with-an-information-theoretic-loss-2111.12950</loc><lastmod>2022-02-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-representation-learning-with-an-information-theoretic-loss-2111.12950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-representation-learning-with-an-information-theoretic-loss-2111.12950"/></url>
<url><loc>https://scifaro.com/en/abs/reliable-graph-neural-networks-for-drug-discovery-under-distributional-shift-2111.12951</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reliable-graph-neural-networks-for-drug-discovery-under-distributional-shift-2111.12951"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reliable-graph-neural-networks-for-drug-discovery-under-distributional-shift-2111.12951"/></url>
<url><loc>https://scifaro.com/en/abs/autohensgnn-winning-solution-to-autograph-challenge-for-kdd-cup-2020-2111.12952</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autohensgnn-winning-solution-to-autograph-challenge-for-kdd-cup-2020-2111.12952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autohensgnn-winning-solution-to-autograph-challenge-for-kdd-cup-2020-2111.12952"/></url>
<url><loc>https://scifaro.com/en/abs/learn-zero-constraint-violation-policy-in-model-free-constrained-reinforcement-learning-2111.12953</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learn-zero-constraint-violation-policy-in-model-free-constrained-reinforcement-learning-2111.12953"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learn-zero-constraint-violation-policy-in-model-free-constrained-reinforcement-learning-2111.12953"/></url>
<url><loc>https://scifaro.com/en/abs/error-bounds-for-a-matrix-vector-product-approximation-with-deep-relu-neural-networks-2111.12963</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/error-bounds-for-a-matrix-vector-product-approximation-with-deep-relu-neural-networks-2111.12963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/error-bounds-for-a-matrix-vector-product-approximation-with-deep-relu-neural-networks-2111.12963"/></url>
<url><loc>https://scifaro.com/en/abs/demystifying-graph-neural-network-explanations-2111.12984</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-graph-neural-network-explanations-2111.12984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-graph-neural-network-explanations-2111.12984"/></url>
<url><loc>https://scifaro.com/en/abs/learning-low-dimensional-quadratic-embeddings-of-high-fidelity-nonlinear-dynamics-using-deep-learning-2111.12995</loc><lastmod>2024-09-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-low-dimensional-quadratic-embeddings-of-high-fidelity-nonlinear-dynamics-using-deep-learning-2111.12995"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-low-dimensional-quadratic-embeddings-of-high-fidelity-nonlinear-dynamics-using-deep-learning-2111.12995"/></url>
<url><loc>https://scifaro.com/en/abs/generalizing-electrocardiogram-delineation-training-convolutional-neural-networks-with-synthetic-data-augmentation-2111.12996</loc><lastmod>2022-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalizing-electrocardiogram-delineation-training-convolutional-neural-networks-with-synthetic-data-augmentation-2111.12996"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalizing-electrocardiogram-delineation-training-convolutional-neural-networks-with-synthetic-data-augmentation-2111.12996"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-success-of-gradient-descent-for-a-particular-dataset-architecture-initialization-dai-2111.13075</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-success-of-gradient-descent-for-a-particular-dataset-architecture-initialization-dai-2111.13075"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-success-of-gradient-descent-for-a-particular-dataset-architecture-initialization-dai-2111.13075"/></url>
<url><loc>https://scifaro.com/en/abs/combating-unknown-bias-with-effective-bias-conflicting-scoring-and-gradient-alignment-2111.13108</loc><lastmod>2022-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combating-unknown-bias-with-effective-bias-conflicting-scoring-and-gradient-alignment-2111.13108"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combating-unknown-bias-with-effective-bias-conflicting-scoring-and-gradient-alignment-2111.13108"/></url>
<url><loc>https://scifaro.com/en/abs/interesting-object-curious-agent-learning-task-agnostic-exploration-2111.13119</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interesting-object-curious-agent-learning-task-agnostic-exploration-2111.13119"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interesting-object-curious-agent-learning-task-agnostic-exploration-2111.13119"/></url>
<url><loc>https://scifaro.com/en/abs/group-equivariant-neural-posterior-estimation-2111.13139</loc><lastmod>2023-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/group-equivariant-neural-posterior-estimation-2111.13139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/group-equivariant-neural-posterior-estimation-2111.13139"/></url>
<url><loc>https://scifaro.com/en/abs/randomized-stochastic-gradient-descent-ascent-2111.13162</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/randomized-stochastic-gradient-descent-ascent-2111.13162"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/randomized-stochastic-gradient-descent-ascent-2111.13162"/></url>
<url><loc>https://scifaro.com/en/abs/neural-network-stochastic-differential-equation-models-with-applications-to-financial-data-forecasting-2111.13164</loc><lastmod>2022-11-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-network-stochastic-differential-equation-models-with-applications-to-financial-data-forecasting-2111.13164"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-network-stochastic-differential-equation-models-with-applications-to-financial-data-forecasting-2111.13164"/></url>
<url><loc>https://scifaro.com/en/abs/intrinsic-dimension-persistent-homology-and-generalization-in-neural-networks-2111.13171</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinsic-dimension-persistent-homology-and-generalization-in-neural-networks-2111.13171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinsic-dimension-persistent-homology-and-generalization-in-neural-networks-2111.13171"/></url>
<url><loc>https://scifaro.com/en/abs/variational-gibbs-inference-for-statistical-model-estimation-from-incomplete-data-2111.13180</loc><lastmod>2023-08-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-gibbs-inference-for-statistical-model-estimation-from-incomplete-data-2111.13180"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-gibbs-inference-for-statistical-model-estimation-from-incomplete-data-2111.13180"/></url>
<url><loc>https://scifaro.com/en/abs/learning-conditional-invariance-through-cycle-consistency-2111.13185</loc><lastmod>2022-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-conditional-invariance-through-cycle-consistency-2111.13185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-conditional-invariance-through-cycle-consistency-2111.13185"/></url>
<url><loc>https://scifaro.com/en/abs/federated-data-science-to-break-down-silos-vision-2111.13186</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-data-science-to-break-down-silos-vision-2111.13186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-data-science-to-break-down-silos-vision-2111.13186"/></url>
<url><loc>https://scifaro.com/en/abs/balenas-differentiable-architecture-search-via-the-bayesian-learning-rule-2111.13204</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/balenas-differentiable-architecture-search-via-the-bayesian-learning-rule-2111.13204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/balenas-differentiable-architecture-search-via-the-bayesian-learning-rule-2111.13204"/></url>
<url><loc>https://scifaro.com/en/abs/characteristic-neural-ordinary-differential-equations-2111.13207</loc><lastmod>2022-11-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/characteristic-neural-ordinary-differential-equations-2111.13207"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/characteristic-neural-ordinary-differential-equations-2111.13207"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-stochastic-expectation-propagation-dp-sep-2111.13219</loc><lastmod>2022-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-stochastic-expectation-propagation-dp-sep-2111.13219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-stochastic-expectation-propagation-dp-sep-2111.13219"/></url>
<url><loc>https://scifaro.com/en/abs/joint-inference-and-input-optimization-in-equilibrium-networks-2111.13236</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-inference-and-input-optimization-in-equilibrium-networks-2111.13236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-inference-and-input-optimization-in-equilibrium-networks-2111.13236"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-feature-ranking-via-attribute-networks-2111.13273</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-feature-ranking-via-attribute-networks-2111.13273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-feature-ranking-via-attribute-networks-2111.13273"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-networks-and-adversarial-autoencoders-tutorial-and-survey-2111.13282</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-networks-and-adversarial-autoencoders-tutorial-and-survey-2111.13282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-networks-and-adversarial-autoencoders-tutorial-and-survey-2111.13282"/></url>
<url><loc>https://scifaro.com/en/abs/knas-green-neural-architecture-search-2111.13293</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/knas-green-neural-architecture-search-2111.13293"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/knas-green-neural-architecture-search-2111.13293"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-bayesian-computation-for-physical-inverse-modeling-2111.13296</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-bayesian-computation-for-physical-inverse-modeling-2111.13296"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-bayesian-computation-for-physical-inverse-modeling-2111.13296"/></url>
<url><loc>https://scifaro.com/en/abs/latent-space-based-memory-replay-for-continual-learning-in-artificial-neural-networks-2111.13297</loc><lastmod>2022-01-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-space-based-memory-replay-for-continual-learning-in-artificial-neural-networks-2111.13297"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-space-based-memory-replay-for-continual-learning-in-artificial-neural-networks-2111.13297"/></url>
<url><loc>https://scifaro.com/en/abs/blaschke-product-neural-networks-bpnn-a-physics-infused-neural-network-for-phase-retrieval-of-meromorphic-functions-2111.13311</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blaschke-product-neural-networks-bpnn-a-physics-infused-neural-network-for-phase-retrieval-of-meromorphic-functions-2111.13311"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blaschke-product-neural-networks-bpnn-a-physics-infused-neural-network-for-phase-retrieval-of-meromorphic-functions-2111.13311"/></url>
<url><loc>https://scifaro.com/en/abs/amercing-an-intuitive-elegant-and-effective-constraint-for-dynamic-time-warping-2111.13314</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amercing-an-intuitive-elegant-and-effective-constraint-for-dynamic-time-warping-2111.13314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amercing-an-intuitive-elegant-and-effective-constraint-for-dynamic-time-warping-2111.13314"/></url>
<url><loc>https://scifaro.com/en/abs/random-reshuffled-sarah-does-not-need-a-full-gradient-computations-2111.13322</loc><lastmod>2024-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/random-reshuffled-sarah-does-not-need-a-full-gradient-computations-2111.13322"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/random-reshuffled-sarah-does-not-need-a-full-gradient-computations-2111.13322"/></url>
<url><loc>https://scifaro.com/en/abs/archrepair-block-level-architecture-oriented-repairing-for-deep-neural-networks-2111.13330</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/archrepair-block-level-architecture-oriented-repairing-for-deep-neural-networks-2111.13330"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/archrepair-block-level-architecture-oriented-repairing-for-deep-neural-networks-2111.13330"/></url>
<url><loc>https://scifaro.com/en/abs/impact-of-classification-difficulty-on-the-weight-matrices-spectra-in-deep-learning-and-application-to-early-stopping-2111.13331</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/impact-of-classification-difficulty-on-the-weight-matrices-spectra-in-deep-learning-and-application-to-early-stopping-2111.13331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/impact-of-classification-difficulty-on-the-weight-matrices-spectra-in-deep-learning-and-application-to-early-stopping-2111.13331"/></url>
<url><loc>https://scifaro.com/en/abs/testability-aware-low-power-controller-design-with-evolutionary-learning-2111.13332</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/testability-aware-low-power-controller-design-with-evolutionary-learning-2111.13332"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/testability-aware-low-power-controller-design-with-evolutionary-learning-2111.13332"/></url>
<url><loc>https://scifaro.com/en/abs/a-multitask-transfer-learning-framework-for-the-prediction-of-virus-human-protein-protein-interactions-2111.13346</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-multitask-transfer-learning-framework-for-the-prediction-of-virus-human-protein-protein-interactions-2111.13346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-multitask-transfer-learning-framework-for-the-prediction-of-virus-human-protein-protein-interactions-2111.13346"/></url>
<url><loc>https://scifaro.com/en/abs/jointly-learning-agent-and-lane-information-for-multimodal-trajectory-prediction-2111.13350</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/jointly-learning-agent-and-lane-information-for-multimodal-trajectory-prediction-2111.13350"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/jointly-learning-agent-and-lane-information-for-multimodal-trajectory-prediction-2111.13350"/></url>
<url><loc>https://scifaro.com/en/abs/geometric-multimodal-deep-learning-with-multi-scaled-graph-wavelet-convolutional-network-2111.13361</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/geometric-multimodal-deep-learning-with-multi-scaled-graph-wavelet-convolutional-network-2111.13361"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/geometric-multimodal-deep-learning-with-multi-scaled-graph-wavelet-convolutional-network-2111.13361"/></url>
<url><loc>https://scifaro.com/en/abs/non-iid-data-and-continual-learning-processes-in-federated-learning-a-long-road-ahead-2111.13394</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-iid-data-and-continual-learning-processes-in-federated-learning-a-long-road-ahead-2111.13394"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-iid-data-and-continual-learning-processes-in-federated-learning-a-long-road-ahead-2111.13394"/></url>
<url><loc>https://scifaro.com/en/abs/trip-refining-image-to-image-translation-via-rival-preferences-2111.13411</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trip-refining-image-to-image-translation-via-rival-preferences-2111.13411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trip-refining-image-to-image-translation-via-rival-preferences-2111.13411"/></url>
<url><loc>https://scifaro.com/en/abs/escada-efficient-safety-and-context-aware-dose-allocation-for-precision-medicine-2111.13415</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/escada-efficient-safety-and-context-aware-dose-allocation-for-precision-medicine-2111.13415"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/escada-efficient-safety-and-context-aware-dose-allocation-for-precision-medicine-2111.13415"/></url>
<url><loc>https://scifaro.com/en/abs/confounder-identification-free-causal-visual-feature-learning-2111.13420</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/confounder-identification-free-causal-visual-feature-learning-2111.13420"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/confounder-identification-free-causal-visual-feature-learning-2111.13420"/></url>
<url><loc>https://scifaro.com/en/abs/measuring-data-quality-for-dataset-selection-in-offline-reinforcement-learning-2111.13461</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/measuring-data-quality-for-dataset-selection-in-offline-reinforcement-learning-2111.13461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/measuring-data-quality-for-dataset-selection-in-offline-reinforcement-learning-2111.13461"/></url>
<url><loc>https://scifaro.com/en/abs/learning-long-term-reward-redistribution-via-randomized-return-decomposition-2111.13485</loc><lastmod>2022-03-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-long-term-reward-redistribution-via-randomized-return-decomposition-2111.13485"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-long-term-reward-redistribution-via-randomized-return-decomposition-2111.13485"/></url>
<url><loc>https://scifaro.com/en/abs/an-optimization-framework-for-federated-edge-learning-2111.13526</loc><lastmod>2022-04-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-optimization-framework-for-federated-edge-learning-2111.13526"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-optimization-framework-for-federated-edge-learning-2111.13526"/></url>
<url><loc>https://scifaro.com/en/abs/mu-nca-texture-generation-with-ultra-compact-neural-cellular-automata-2111.13545</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mu-nca-texture-generation-with-ultra-compact-neural-cellular-automata-2111.13545"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mu-nca-texture-generation-with-ultra-compact-neural-cellular-automata-2111.13545"/></url>
<url><loc>https://scifaro.com/en/abs/semi-supervised-t-sne-for-millimeter-wave-wireless-localization-2111.13573</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/semi-supervised-t-sne-for-millimeter-wave-wireless-localization-2111.13573"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/semi-supervised-t-sne-for-millimeter-wave-wireless-localization-2111.13573"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-image-generation-with-score-based-diffusion-models-2111.13606</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-image-generation-with-score-based-diffusion-models-2111.13606"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-image-generation-with-score-based-diffusion-models-2111.13606"/></url>
<url><loc>https://scifaro.com/en/abs/a-reinforcement-learning-approach-for-the-continuous-electricity-market-of-germany-trading-from-the-perspective-of-a-wind-park-operator-2111.13609</loc><lastmod>2024-09-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-reinforcement-learning-approach-for-the-continuous-electricity-market-of-germany-trading-from-the-perspective-of-a-wind-park-operator-2111.13609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-reinforcement-learning-approach-for-the-continuous-electricity-market-of-germany-trading-from-the-perspective-of-a-wind-park-operator-2111.13609"/></url>
<url><loc>https://scifaro.com/en/abs/the-geometry-of-adversarial-training-in-binary-classification-2111.13613</loc><lastmod>2023-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-geometry-of-adversarial-training-in-binary-classification-2111.13613"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-geometry-of-adversarial-training-in-binary-classification-2111.13613"/></url>
<url><loc>https://scifaro.com/en/abs/dp-sgd-vs-pate-which-has-less-disparate-impact-on-gans-2111.13617</loc><lastmod>2021-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dp-sgd-vs-pate-which-has-less-disparate-impact-on-gans-2111.13617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dp-sgd-vs-pate-which-has-less-disparate-impact-on-gans-2111.13617"/></url>
<url><loc>https://scifaro.com/en/abs/latent-space-smoothing-for-individually-fair-representations-2111.13650</loc><lastmod>2022-07-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-space-smoothing-for-individually-fair-representations-2111.13650"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-space-smoothing-for-individually-fair-representations-2111.13650"/></url>
<url><loc>https://scifaro.com/en/abs/amazon-sagemaker-model-monitor-a-system-for-real-time-insights-into-deployed-machine-learning-models-2111.13657</loc><lastmod>2022-08-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/amazon-sagemaker-model-monitor-a-system-for-real-time-insights-into-deployed-machine-learning-models-2111.13657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/amazon-sagemaker-model-monitor-a-system-for-real-time-insights-into-deployed-machine-learning-models-2111.13657"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-joint-graph-convolutional-networks-for-traffic-forecasting-2111.13684</loc><lastmod>2023-06-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-joint-graph-convolutional-networks-for-traffic-forecasting-2111.13684"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-joint-graph-convolutional-networks-for-traffic-forecasting-2111.13684"/></url>
<url><loc>https://scifaro.com/en/abs/enforcing-and-discovering-structure-in-machine-learning-2111.13693</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enforcing-and-discovering-structure-in-machine-learning-2111.13693"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enforcing-and-discovering-structure-in-machine-learning-2111.13693"/></url>
<url><loc>https://scifaro.com/en/abs/failure-modes-of-domain-generalization-algorithms-2111.13733</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/failure-modes-of-domain-generalization-algorithms-2111.13733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/failure-modes-of-domain-generalization-algorithms-2111.13733"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-multi-objective-hyperparameter-optimization-algorithms-for-machine-learning-2111.13755</loc><lastmod>2022-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-multi-objective-hyperparameter-optimization-algorithms-for-machine-learning-2111.13755"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-multi-objective-hyperparameter-optimization-algorithms-for-machine-learning-2111.13755"/></url>
<url><loc>https://scifaro.com/en/abs/demystifying-ten-big-ideas-and-rules-every-fire-scientist-engineer-should-know-about-blackbox-whitebox-causal-artificial-intelligence-2111.13756</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/demystifying-ten-big-ideas-and-rules-every-fire-scientist-engineer-should-know-about-blackbox-whitebox-causal-artificial-intelligence-2111.13756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/demystifying-ten-big-ideas-and-rules-every-fire-scientist-engineer-should-know-about-blackbox-whitebox-causal-artificial-intelligence-2111.13756"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-analysis-of-nonlinear-civil-engineering-structures-using-artificial-neural-network-with-adaptive-training-2111.13759</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-analysis-of-nonlinear-civil-engineering-structures-using-artificial-neural-network-with-adaptive-training-2111.13759"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-analysis-of-nonlinear-civil-engineering-structures-using-artificial-neural-network-with-adaptive-training-2111.13759"/></url>
<url><loc>https://scifaro.com/en/abs/interpreting-machine-learning-models-for-room-temperature-prediction-in-non-domestic-buildings-2111.13760</loc><lastmod>2024-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/interpreting-machine-learning-models-for-room-temperature-prediction-in-non-domestic-buildings-2111.13760"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/interpreting-machine-learning-models-for-room-temperature-prediction-in-non-domestic-buildings-2111.13760"/></url>
<url><loc>https://scifaro.com/en/abs/particle-dynamics-for-learning-ebms-2111.13772</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/particle-dynamics-for-learning-ebms-2111.13772"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/particle-dynamics-for-learning-ebms-2111.13772"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-learning-machines-a-new-generation-of-ai-technology-to-meet-the-needs-of-science-2111.13786</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-learning-machines-a-new-generation-of-ai-technology-to-meet-the-needs-of-science-2111.13786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-learning-machines-a-new-generation-of-ai-technology-to-meet-the-needs-of-science-2111.13786"/></url>
<url><loc>https://scifaro.com/en/abs/a-two-stage-feature-selection-approach-for-robust-evaluation-of-treatment-effects-in-high-dimensional-observational-data-2111.13800</loc><lastmod>2024-03-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-two-stage-feature-selection-approach-for-robust-evaluation-of-treatment-effects-in-high-dimensional-observational-data-2111.13800"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-two-stage-feature-selection-approach-for-robust-evaluation-of-treatment-effects-in-high-dimensional-observational-data-2111.13800"/></url>
<url><loc>https://scifaro.com/en/abs/factorized-fourier-neural-operators-2111.13802</loc><lastmod>2023-03-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/factorized-fourier-neural-operators-2111.13802"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/factorized-fourier-neural-operators-2111.13802"/></url>
<url><loc>https://scifaro.com/en/abs/offline-neural-contextual-bandits-pessimism-optimization-and-generalization-2111.13807</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-neural-contextual-bandits-pessimism-optimization-and-generalization-2111.13807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-neural-contextual-bandits-pessimism-optimization-and-generalization-2111.13807"/></url>
<url><loc>https://scifaro.com/en/abs/achieving-an-accurate-random-process-model-for-pv-power-using-cheap-data-leveraging-the-sde-and-public-weather-reports-2111.13812</loc><lastmod>2023-12-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/achieving-an-accurate-random-process-model-for-pv-power-using-cheap-data-leveraging-the-sde-and-public-weather-reports-2111.13812"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/achieving-an-accurate-random-process-model-for-pv-power-using-cheap-data-leveraging-the-sde-and-public-weather-reports-2111.13812"/></url>
<url><loc>https://scifaro.com/en/abs/on-learning-domain-invariant-representations-for-transfer-learning-with-multiple-sources-2111.13822</loc><lastmod>2023-11-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-learning-domain-invariant-representations-for-transfer-learning-with-multiple-sources-2111.13822"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-learning-domain-invariant-representations-for-transfer-learning-with-multiple-sources-2111.13822"/></url>
<url><loc>https://scifaro.com/en/abs/towards-principled-disentanglement-for-domain-generalization-2111.13839</loc><lastmod>2022-10-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-principled-disentanglement-for-domain-generalization-2111.13839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-principled-disentanglement-for-domain-generalization-2111.13839"/></url>
<url><loc>https://scifaro.com/en/abs/why-kdac-a-general-activation-function-for-knowledge-discovery-2111.13858</loc><lastmod>2022-05-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/why-kdac-a-general-activation-function-for-knowledge-discovery-2111.13858"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/why-kdac-a-general-activation-function-for-knowledge-discovery-2111.13858"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-multifractal-based-deep-learning-model-for-text-mining-2111.13861</loc><lastmod>2023-09-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-multifractal-based-deep-learning-model-for-text-mining-2111.13861"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-multifractal-based-deep-learning-model-for-text-mining-2111.13861"/></url>
<url><loc>https://scifaro.com/en/abs/automated-antenna-testing-using-encoder-decoder-based-anomaly-detection-2111.13884</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-antenna-testing-using-encoder-decoder-based-anomaly-detection-2111.13884"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-antenna-testing-using-encoder-decoder-based-anomaly-detection-2111.13884"/></url>
<url><loc>https://scifaro.com/en/abs/towards-understanding-the-impact-of-model-size-on-differential-private-classification-2111.13895</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-understanding-the-impact-of-model-size-on-differential-private-classification-2111.13895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-understanding-the-impact-of-model-size-on-differential-private-classification-2111.13895"/></url>
<url><loc>https://scifaro.com/en/abs/fast-and-informative-model-selection-using-learning-curve-cross-validation-2111.13914</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-and-informative-model-selection-using-learning-curve-cross-validation-2111.13914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-and-informative-model-selection-using-learning-curve-cross-validation-2111.13914"/></url>
<url><loc>https://scifaro.com/en/abs/transformed-k-means-clustering-2111.13921</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transformed-k-means-clustering-2111.13921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transformed-k-means-clustering-2111.13921"/></url>
<url><loc>https://scifaro.com/en/abs/resource-aware-asynchronous-online-federated-learning-for-nonlinear-regression-2111.13931</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/resource-aware-asynchronous-online-federated-learning-for-nonlinear-regression-2111.13931"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/resource-aware-asynchronous-online-federated-learning-for-nonlinear-regression-2111.13931"/></url>
<url><loc>https://scifaro.com/en/abs/a-recommender-system-inspired-cloud-data-filling-scheme-for-satellite-based-coastal-observation-2111.13955</loc><lastmod>2022-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-recommender-system-inspired-cloud-data-filling-scheme-for-satellite-based-coastal-observation-2111.13955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-recommender-system-inspired-cloud-data-filling-scheme-for-satellite-based-coastal-observation-2111.13955"/></url>
<url><loc>https://scifaro.com/en/abs/forecasting-daily-covid-19-related-calls-in-va-health-care-system-predictive-model-development-2111.13980</loc><lastmod>2022-09-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forecasting-daily-covid-19-related-calls-in-va-health-care-system-predictive-model-development-2111.13980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forecasting-daily-covid-19-related-calls-in-va-health-care-system-predictive-model-development-2111.13980"/></url>
<url><loc>https://scifaro.com/en/abs/ncvx-a-user-friendly-and-scalable-package-for-nonconvex-optimization-in-machine-learning-2111.13984</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ncvx-a-user-friendly-and-scalable-package-for-nonconvex-optimization-in-machine-learning-2111.13984"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ncvx-a-user-friendly-and-scalable-package-for-nonconvex-optimization-in-machine-learning-2111.13984"/></url>
<url><loc>https://scifaro.com/en/abs/multi-modality-fusion-using-canonical-correlation-analysis-methods-application-in-breast-cancer-survival-prediction-from-histology-and-genomics-2111.13987</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-modality-fusion-using-canonical-correlation-analysis-methods-application-in-breast-cancer-survival-prediction-from-histology-and-genomics-2111.13987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-modality-fusion-using-canonical-correlation-analysis-methods-application-in-breast-cancer-survival-prediction-from-histology-and-genomics-2111.13987"/></url>
<url><loc>https://scifaro.com/en/abs/an-entropy-weighted-nonnegative-matrix-factorization-algorithm-for-feature-representation-2111.14007</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-entropy-weighted-nonnegative-matrix-factorization-algorithm-for-feature-representation-2111.14007"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-entropy-weighted-nonnegative-matrix-factorization-algorithm-for-feature-representation-2111.14007"/></url>
<url><loc>https://scifaro.com/en/abs/learning-wildfire-model-from-incomplete-state-observations-2111.14038</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-wildfire-model-from-incomplete-state-observations-2111.14038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-wildfire-model-from-incomplete-state-observations-2111.14038"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-performance-of-empirical-risk-minimization-on-over-parameterized-deep-relu-nets-2111.14039</loc><lastmod>2023-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-performance-of-empirical-risk-minimization-on-over-parameterized-deep-relu-nets-2111.14039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-performance-of-empirical-risk-minimization-on-over-parameterized-deep-relu-nets-2111.14039"/></url>
<url><loc>https://scifaro.com/en/abs/enabling-fast-deep-learning-on-tiny-energy-harvesting-iot-devices-2111.14051</loc><lastmod>2022-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enabling-fast-deep-learning-on-tiny-energy-harvesting-iot-devices-2111.14051"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enabling-fast-deep-learning-on-tiny-energy-harvesting-iot-devices-2111.14051"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-and-automatic-hyper-parameter-tunning-2111.14056</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-and-automatic-hyper-parameter-tunning-2111.14056"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-and-automatic-hyper-parameter-tunning-2111.14056"/></url>
<url><loc>https://scifaro.com/en/abs/p4ai-approaching-ai-ethics-through-principlism-2111.14062</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/p4ai-approaching-ai-ethics-through-principlism-2111.14062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/p4ai-approaching-ai-ethics-through-principlism-2111.14062"/></url>
<url><loc>https://scifaro.com/en/abs/multicriteria-interpretability-driven-deep-learning-2111.14088</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multicriteria-interpretability-driven-deep-learning-2111.14088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multicriteria-interpretability-driven-deep-learning-2111.14088"/></url>
<url><loc>https://scifaro.com/en/abs/imbalanced-data-preprocessing-techniques-utilizing-local-data-characteristics-2111.14120</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imbalanced-data-preprocessing-techniques-utilizing-local-data-characteristics-2111.14120"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imbalanced-data-preprocessing-techniques-utilizing-local-data-characteristics-2111.14120"/></url>
<url><loc>https://scifaro.com/en/abs/computational-complexity-of-normalizing-constants-for-the-product-of-determinantal-point-processes-2111.14148</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computational-complexity-of-normalizing-constants-for-the-product-of-determinantal-point-processes-2111.14148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computational-complexity-of-normalizing-constants-for-the-product-of-determinantal-point-processes-2111.14148"/></url>
<url><loc>https://scifaro.com/en/abs/learning-physical-concepts-in-cyber-physical-systems-a-case-study-2111.14151</loc><lastmod>2021-12-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-physical-concepts-in-cyber-physical-systems-a-case-study-2111.14151"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-physical-concepts-in-cyber-physical-systems-a-case-study-2111.14151"/></url>
<url><loc>https://scifaro.com/en/abs/count-based-temperature-scheduling-for-maximum-entropy-reinforcement-learning-2111.14204</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/count-based-temperature-scheduling-for-maximum-entropy-reinforcement-learning-2111.14204"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/count-based-temperature-scheduling-for-maximum-entropy-reinforcement-learning-2111.14204"/></url>
<url><loc>https://scifaro.com/en/abs/on-predicting-generalization-using-gans-2111.14212</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-predicting-generalization-using-gans-2111.14212"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-predicting-generalization-using-gans-2111.14212"/></url>
<url><loc>https://scifaro.com/en/abs/local-learning-matters-rethinking-data-heterogeneity-in-federated-learning-2111.14213</loc><lastmod>2022-04-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/local-learning-matters-rethinking-data-heterogeneity-in-federated-learning-2111.14213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/local-learning-matters-rethinking-data-heterogeneity-in-federated-learning-2111.14213"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-inference-via-clustering-2111.14219</loc><lastmod>2022-02-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-inference-via-clustering-2111.14219"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-inference-via-clustering-2111.14219"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-robustness-and-generalization-of-deep-learning-driven-full-waveform-inversion-2111.14220</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-robustness-and-generalization-of-deep-learning-driven-full-waveform-inversion-2111.14220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-robustness-and-generalization-of-deep-learning-driven-full-waveform-inversion-2111.14220"/></url>
<url><loc>https://scifaro.com/en/abs/schema-matching-using-gaussian-mixture-models-with-wasserstein-distance-2111.14244</loc><lastmod>2022-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/schema-matching-using-gaussian-mixture-models-with-wasserstein-distance-2111.14244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/schema-matching-using-gaussian-mixture-models-with-wasserstein-distance-2111.14244"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-of-large-scale-deep-learning-serving-system-optimization-challenges-and-opportunities-2111.14247</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-of-large-scale-deep-learning-serving-system-optimization-challenges-and-opportunities-2111.14247"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-of-large-scale-deep-learning-serving-system-optimization-challenges-and-opportunities-2111.14247"/></url>
<url><loc>https://scifaro.com/en/abs/fed2-feature-aligned-federated-learning-2111.14248</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fed2-feature-aligned-federated-learning-2111.14248"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fed2-feature-aligned-federated-learning-2111.14248"/></url>
<url><loc>https://scifaro.com/en/abs/a-practical-guide-on-explainable-ai-techniques-applied-on-biomedical-use-case-applications-2111.14260</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-practical-guide-on-explainable-ai-techniques-applied-on-biomedical-use-case-applications-2111.14260"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-practical-guide-on-explainable-ai-techniques-applied-on-biomedical-use-case-applications-2111.14260"/></url>
<url><loc>https://scifaro.com/en/abs/identification-of-subgroups-with-similar-benefits-in-off-policy-policy-evaluation-2111.14272</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/identification-of-subgroups-with-similar-benefits-in-off-policy-policy-evaluation-2111.14272"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/identification-of-subgroups-with-similar-benefits-in-off-policy-policy-evaluation-2111.14272"/></url>
<url><loc>https://scifaro.com/en/abs/towards-autonomous-driving-of-personal-mobility-with-small-and-noisy-dataset-using-tsallis-statistics-based-behavioral-cloning-2111.14294</loc><lastmod>2026-02-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-autonomous-driving-of-personal-mobility-with-small-and-noisy-dataset-using-tsallis-statistics-based-behavioral-cloning-2111.14294"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-autonomous-driving-of-personal-mobility-with-small-and-noisy-dataset-using-tsallis-statistics-based-behavioral-cloning-2111.14294"/></url>
<url><loc>https://scifaro.com/en/abs/a-general-framework-for-defending-against-backdoor-attacks-via-influence-graph-2111.14309</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-general-framework-for-defending-against-backdoor-attacks-via-influence-graph-2111.14309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-general-framework-for-defending-against-backdoor-attacks-via-influence-graph-2111.14309"/></url>
<url><loc>https://scifaro.com/en/abs/is-the-rush-to-machine-learning-jeopardizing-safety-results-of-a-survey-2111.14324</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-the-rush-to-machine-learning-jeopardizing-safety-results-of-a-survey-2111.14324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-the-rush-to-machine-learning-jeopardizing-safety-results-of-a-survey-2111.14324"/></url>
<url><loc>https://scifaro.com/en/abs/improving-experience-replay-with-successor-representation-2111.14331</loc><lastmod>2022-02-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-experience-replay-with-successor-representation-2111.14331"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-experience-replay-with-successor-representation-2111.14331"/></url>
<url><loc>https://scifaro.com/en/abs/spatl-salient-parameter-aggregation-and-transfer-learning-for-heterogeneous-clients-in-federated-learning-2111.14345</loc><lastmod>2022-08-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatl-salient-parameter-aggregation-and-transfer-learning-for-heterogeneous-clients-in-federated-learning-2111.14345"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatl-salient-parameter-aggregation-and-transfer-learning-for-heterogeneous-clients-in-federated-learning-2111.14345"/></url>
<url><loc>https://scifaro.com/en/abs/pessimistic-model-selection-for-offline-deep-reinforcement-learning-2111.14346</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pessimistic-model-selection-for-offline-deep-reinforcement-learning-2111.14346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pessimistic-model-selection-for-offline-deep-reinforcement-learning-2111.14346"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-federated-learning-for-aiot-applications-using-knowledge-distillation-2111.14347</loc><lastmod>2022-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-federated-learning-for-aiot-applications-using-knowledge-distillation-2111.14347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-federated-learning-for-aiot-applications-using-knowledge-distillation-2111.14347"/></url>
<url><loc>https://scifaro.com/en/abs/a-causal-approach-for-unfair-edge-prioritization-and-discrimination-removal-2111.14348</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-causal-approach-for-unfair-edge-prioritization-and-discrimination-removal-2111.14348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-causal-approach-for-unfair-edge-prioritization-and-discrimination-removal-2111.14348"/></url>
<url><loc>https://scifaro.com/en/abs/final-adaptation-reinforcement-learning-for-n-player-games-2111.14375</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/final-adaptation-reinforcement-learning-for-n-player-games-2111.14375"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/final-adaptation-reinforcement-learning-for-n-player-games-2111.14375"/></url>
<url><loc>https://scifaro.com/en/abs/online-fair-revenue-maximizing-cake-division-with-non-contiguous-pieces-in-adversarial-bandits-2111.14387</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-fair-revenue-maximizing-cake-division-with-non-contiguous-pieces-in-adversarial-bandits-2111.14387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-fair-revenue-maximizing-cake-division-with-non-contiguous-pieces-in-adversarial-bandits-2111.14387"/></url>
<url><loc>https://scifaro.com/en/abs/improving-traffic-sign-recognition-by-active-search-2111.14426</loc><lastmod>2022-11-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-traffic-sign-recognition-by-active-search-2111.14426"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-traffic-sign-recognition-by-active-search-2111.14426"/></url>
<url><loc>https://scifaro.com/en/abs/self-training-of-halfspaces-with-generalization-guarantees-under-massart-mislabeling-noise-model-2111.14427</loc><lastmod>2022-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-training-of-halfspaces-with-generalization-guarantees-under-massart-mislabeling-noise-model-2111.14427"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-training-of-halfspaces-with-generalization-guarantees-under-massart-mislabeling-noise-model-2111.14427"/></url>
<url><loc>https://scifaro.com/en/abs/tsfex-contact-tracing-model-using-time-series-feature-extraction-and-gradient-boosting-2111.14454</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tsfex-contact-tracing-model-using-time-series-feature-extraction-and-gradient-boosting-2111.14454"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tsfex-contact-tracing-model-using-time-series-feature-extraction-and-gradient-boosting-2111.14454"/></url>
<url><loc>https://scifaro.com/en/abs/just-least-squares-binary-compressive-sampling-with-low-generative-intrinsic-dimension-2111.14486</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/just-least-squares-binary-compressive-sampling-with-low-generative-intrinsic-dimension-2111.14486"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/just-least-squares-binary-compressive-sampling-with-low-generative-intrinsic-dimension-2111.14486"/></url>
<url><loc>https://scifaro.com/en/abs/naive-automated-machine-learning-2111.14514</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/naive-automated-machine-learning-2111.14514"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/naive-automated-machine-learning-2111.14514"/></url>
<url><loc>https://scifaro.com/en/abs/conceptually-diverse-base-model-selection-for-meta-learners-in-concept-drifting-data-streams-2111.14520</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conceptually-diverse-base-model-selection-for-meta-learners-in-concept-drifting-data-streams-2111.14520"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conceptually-diverse-base-model-selection-for-meta-learners-in-concept-drifting-data-streams-2111.14520"/></url>
<url><loc>https://scifaro.com/en/abs/spherical-matrix-factorization-2111.14536</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spherical-matrix-factorization-2111.14536"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spherical-matrix-factorization-2111.14536"/></url>
<url><loc>https://scifaro.com/en/abs/robust-on-policy-sampling-for-data-efficient-policy-evaluation-in-reinforcement-learning-2111.14552</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-on-policy-sampling-for-data-efficient-policy-evaluation-in-reinforcement-learning-2111.14552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-on-policy-sampling-for-data-efficient-policy-evaluation-in-reinforcement-learning-2111.14552"/></url>
<url><loc>https://scifaro.com/en/abs/bp-net-efficient-deep-learning-for-continuous-arterial-blood-pressure-estimation-using-photoplethysmogram-2111.14558</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bp-net-efficient-deep-learning-for-continuous-arterial-blood-pressure-estimation-using-photoplethysmogram-2111.14558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bp-net-efficient-deep-learning-for-continuous-arterial-blood-pressure-estimation-using-photoplethysmogram-2111.14558"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-sinkhorn-algorithm-with-deletion-and-insertion-operations-2111.14565</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-sinkhorn-algorithm-with-deletion-and-insertion-operations-2111.14565"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-sinkhorn-algorithm-with-deletion-and-insertion-operations-2111.14565"/></url>
<url><loc>https://scifaro.com/en/abs/learning-fair-classifiers-with-partially-annotated-group-labels-2111.14581</loc><lastmod>2022-04-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-fair-classifiers-with-partially-annotated-group-labels-2111.14581"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-fair-classifiers-with-partially-annotated-group-labels-2111.14581"/></url>
<url><loc>https://scifaro.com/en/abs/multi-uav-conflict-resolution-with-graph-convolutional-reinforcement-learning-2111.14598</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-uav-conflict-resolution-with-graph-convolutional-reinforcement-learning-2111.14598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-uav-conflict-resolution-with-graph-convolutional-reinforcement-learning-2111.14598"/></url>
<url><loc>https://scifaro.com/en/abs/an-investigation-on-learning-polluting-and-unlearning-the-spam-emails-for-lifelong-learning-2111.14609</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-investigation-on-learning-polluting-and-unlearning-the-spam-emails-for-lifelong-learning-2111.14609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-investigation-on-learning-polluting-and-unlearning-the-spam-emails-for-lifelong-learning-2111.14609"/></url>
<url><loc>https://scifaro.com/en/abs/deepgate-learning-neural-representations-of-logic-gates-2111.14616</loc><lastmod>2022-04-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepgate-learning-neural-representations-of-logic-gates-2111.14616"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepgate-learning-neural-representations-of-logic-gates-2111.14616"/></url>
<url><loc>https://scifaro.com/en/abs/wifi-based-multi-task-sensing-2111.14619</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/wifi-based-multi-task-sensing-2111.14619"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/wifi-based-multi-task-sensing-2111.14619"/></url>
<url><loc>https://scifaro.com/en/abs/post-discovery-analysis-of-anomalous-subsets-2111.14622</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/post-discovery-analysis-of-anomalous-subsets-2111.14622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/post-discovery-analysis-of-anomalous-subsets-2111.14622"/></url>
<url><loc>https://scifaro.com/en/abs/an-overview-of-healthcare-data-analytics-with-applications-to-the-covid-19-pandemic-2111.14623</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-overview-of-healthcare-data-analytics-with-applications-to-the-covid-19-pandemic-2111.14623"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-overview-of-healthcare-data-analytics-with-applications-to-the-covid-19-pandemic-2111.14623"/></url>
<url><loc>https://scifaro.com/en/abs/cyclic-graph-attentive-match-encoder-cgame-a-novel-neural-network-for-od-estimation-2111.14625</loc><lastmod>2022-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cyclic-graph-attentive-match-encoder-cgame-a-novel-neural-network-for-od-estimation-2111.14625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cyclic-graph-attentive-match-encoder-cgame-a-novel-neural-network-for-od-estimation-2111.14625"/></url>
<url><loc>https://scifaro.com/en/abs/improving-zero-shot-generalization-in-offline-reinforcement-learning-using-generalized-similarity-functions-2111.14629</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-zero-shot-generalization-in-offline-reinforcement-learning-using-generalized-similarity-functions-2111.14629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-zero-shot-generalization-in-offline-reinforcement-learning-using-generalized-similarity-functions-2111.14629"/></url>
<url><loc>https://scifaro.com/en/abs/on-computable-learning-of-continuous-features-2111.14630</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-computable-learning-of-continuous-features-2111.14630"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-computable-learning-of-continuous-features-2111.14630"/></url>
<url><loc>https://scifaro.com/en/abs/multi-objective-explanations-of-gnn-predictions-2111.14651</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-objective-explanations-of-gnn-predictions-2111.14651"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-objective-explanations-of-gnn-predictions-2111.14651"/></url>
<url><loc>https://scifaro.com/en/abs/fedhm-efficient-federated-learning-for-heterogeneous-models-via-low-rank-factorization-2111.14655</loc><lastmod>2022-05-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedhm-efficient-federated-learning-for-heterogeneous-models-via-low-rank-factorization-2111.14655"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedhm-efficient-federated-learning-for-heterogeneous-models-via-low-rank-factorization-2111.14655"/></url>
<url><loc>https://scifaro.com/en/abs/climart-a-benchmark-dataset-for-emulating-atmospheric-radiative-transfer-in-weather-and-climate-models-2111.14671</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/climart-a-benchmark-dataset-for-emulating-atmospheric-radiative-transfer-in-weather-and-climate-models-2111.14671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/climart-a-benchmark-dataset-for-emulating-atmospheric-radiative-transfer-in-weather-and-climate-models-2111.14671"/></url>
<url><loc>https://scifaro.com/en/abs/online-map-inference-and-learning-for-nonsymmetric-determinantal-point-processes-2111.14674</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-map-inference-and-learning-for-nonsymmetric-determinantal-point-processes-2111.14674"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-map-inference-and-learning-for-nonsymmetric-determinantal-point-processes-2111.14674"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-localization-in-model-gradients-under-backdoor-attacks-against-federated-learning-2111.14683</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-localization-in-model-gradients-under-backdoor-attacks-against-federated-learning-2111.14683"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-localization-in-model-gradients-under-backdoor-attacks-against-federated-learning-2111.14683"/></url>
<url><loc>https://scifaro.com/en/abs/the-computational-drug-repositioning-without-negative-sampling-2111.14696</loc><lastmod>2022-06-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-computational-drug-repositioning-without-negative-sampling-2111.14696"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-computational-drug-repositioning-without-negative-sampling-2111.14696"/></url>
<url><loc>https://scifaro.com/en/abs/encoding-causal-macrovariables-2111.14724</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/encoding-causal-macrovariables-2111.14724"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/encoding-causal-macrovariables-2111.14724"/></url>
<url><loc>https://scifaro.com/en/abs/crime-prediction-with-graph-neural-networks-and-multivariate-normal-distributions-2111.14733</loc><lastmod>2021-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/crime-prediction-with-graph-neural-networks-and-multivariate-normal-distributions-2111.14733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/crime-prediction-with-graph-neural-networks-and-multivariate-normal-distributions-2111.14733"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-inference-2111.14746</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-inference-2111.14746"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-inference-2111.14746"/></url>
<url><loc>https://scifaro.com/en/abs/automated-benchmark-driven-design-and-explanation-of-hyperparameter-optimizers-2111.14756</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automated-benchmark-driven-design-and-explanation-of-hyperparameter-optimizers-2111.14756"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automated-benchmark-driven-design-and-explanation-of-hyperparameter-optimizers-2111.14756"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-first-and-second-order-algorithms-for-large-scale-machine-learning-2111.14761</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-first-and-second-order-algorithms-for-large-scale-machine-learning-2111.14761"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-first-and-second-order-algorithms-for-large-scale-machine-learning-2111.14761"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-combinatorial-multi-output-gp-bandits-with-group-constraints-2111.14778</loc><lastmod>2023-07-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-combinatorial-multi-output-gp-bandits-with-group-constraints-2111.14778"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-combinatorial-multi-output-gp-bandits-with-group-constraints-2111.14778"/></url>
<url><loc>https://scifaro.com/en/abs/machine-learning-for-real-time-automatic-and-early-diagnosis-of-parkinson-s-disease-by-extracting-signs-of-micrographia-from-handwriting-images-2111.14781</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-real-time-automatic-and-early-diagnosis-of-parkinson-s-disease-by-extracting-signs-of-micrographia-from-handwriting-images-2111.14781"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-real-time-automatic-and-early-diagnosis-of-parkinson-s-disease-by-extracting-signs-of-micrographia-from-handwriting-images-2111.14781"/></url>
<url><loc>https://scifaro.com/en/abs/autonomous-optimization-of-nonaqueous-battery-electrolytes-via-robotic-experimentation-and-machine-learning-2111.14786</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autonomous-optimization-of-nonaqueous-battery-electrolytes-via-robotic-experimentation-and-machine-learning-2111.14786"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autonomous-optimization-of-nonaqueous-battery-electrolytes-via-robotic-experimentation-and-machine-learning-2111.14786"/></url>
<url><loc>https://scifaro.com/en/abs/comparison-of-models-for-training-optical-matrix-multipliers-in-neuromorphic-pics-2111.14787</loc><lastmod>2021-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comparison-of-models-for-training-optical-matrix-multipliers-in-neuromorphic-pics-2111.14787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comparison-of-models-for-training-optical-matrix-multipliers-in-neuromorphic-pics-2111.14787"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-network-assisted-d2d-aided-coded-distributed-learning-2111.14789</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-network-assisted-d2d-aided-coded-distributed-learning-2111.14789"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-network-assisted-d2d-aided-coded-distributed-learning-2111.14789"/></url>
<url><loc>https://scifaro.com/en/abs/towards-robust-and-adaptive-motion-forecasting-a-causal-representation-perspective-2111.14820</loc><lastmod>2022-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-robust-and-adaptive-motion-forecasting-a-causal-representation-perspective-2111.14820"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-robust-and-adaptive-motion-forecasting-a-causal-representation-perspective-2111.14820"/></url>
<url><loc>https://scifaro.com/en/abs/nonparametric-topological-layers-in-neural-networks-2111.14829</loc><lastmod>2022-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nonparametric-topological-layers-in-neural-networks-2111.14829"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nonparametric-topological-layers-in-neural-networks-2111.14829"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-attacks-in-cooperative-ai-2111.14833</loc><lastmod>2022-03-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-attacks-in-cooperative-ai-2111.14833"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-attacks-in-cooperative-ai-2111.14833"/></url>
<url><loc>https://scifaro.com/en/abs/self-supervised-autoregressive-domain-adaptation-for-time-series-data-2111.14834</loc><lastmod>2022-07-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-supervised-autoregressive-domain-adaptation-for-time-series-data-2111.14834"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-supervised-autoregressive-domain-adaptation-for-time-series-data-2111.14834"/></url>
<url><loc>https://scifaro.com/en/abs/low-bit-quantization-of-recurrent-neural-network-language-models-using-alternating-direction-methods-of-multipliers-2111.14836</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/low-bit-quantization-of-recurrent-neural-network-language-models-using-alternating-direction-methods-of-multipliers-2111.14836"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/low-bit-quantization-of-recurrent-neural-network-language-models-using-alternating-direction-methods-of-multipliers-2111.14836"/></url>
<url><loc>https://scifaro.com/en/abs/p2pgnn-a-decentralized-graph-neural-network-for-node-classification-in-peer-to-peer-networks-2111.14837</loc><lastmod>2022-03-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/p2pgnn-a-decentralized-graph-neural-network-for-node-classification-in-peer-to-peer-networks-2111.14837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/p2pgnn-a-decentralized-graph-neural-network-for-node-classification-in-peer-to-peer-networks-2111.14837"/></url>
<url><loc>https://scifaro.com/en/abs/evaluating-privacy-preserving-machine-learning-in-critical-infrastructures-a-case-study-on-time-series-classification-2111.14838</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluating-privacy-preserving-machine-learning-in-critical-infrastructures-a-case-study-on-time-series-classification-2111.14838"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluating-privacy-preserving-machine-learning-in-critical-infrastructures-a-case-study-on-time-series-classification-2111.14838"/></url>
<url><loc>https://scifaro.com/en/abs/new-pca-based-category-encoder-for-cybersecurity-and-processing-data-in-iot-devices-2111.14839</loc><lastmod>2022-05-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-pca-based-category-encoder-for-cybersecurity-and-processing-data-in-iot-devices-2111.14839"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-pca-based-category-encoder-for-cybersecurity-and-processing-data-in-iot-devices-2111.14839"/></url>
<url><loc>https://scifaro.com/en/abs/evaluation-of-machine-learning-techniques-for-forecast-uncertainty-quantification-2111.14844</loc><lastmod>2022-12-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/evaluation-of-machine-learning-techniques-for-forecast-uncertainty-quantification-2111.14844"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/evaluation-of-machine-learning-techniques-for-forecast-uncertainty-quantification-2111.14844"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-high-dimensional-physics-simulations-via-composite-bayesian-optimization-2111.14911</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-high-dimensional-physics-simulations-via-composite-bayesian-optimization-2111.14911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-high-dimensional-physics-simulations-via-composite-bayesian-optimization-2111.14911"/></url>
<url><loc>https://scifaro.com/en/abs/architecture-matters-investigating-the-influence-of-differential-privacy-on-neural-network-design-2111.14924</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/architecture-matters-investigating-the-influence-of-differential-privacy-on-neural-network-design-2111.14924"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/architecture-matters-investigating-the-influence-of-differential-privacy-on-neural-network-design-2111.14924"/></url>
<url><loc>https://scifaro.com/en/abs/learning-with-noisy-labels-by-efficient-transition-matrix-estimation-to-combat-label-miscorrection-2111.14932</loc><lastmod>2022-07-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-with-noisy-labels-by-efficient-transition-matrix-estimation-to-combat-label-miscorrection-2111.14932"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-with-noisy-labels-by-efficient-transition-matrix-estimation-to-combat-label-miscorrection-2111.14932"/></url>
<url><loc>https://scifaro.com/en/abs/distribution-shift-in-airline-customer-behavior-during-covid-19-2111.14938</loc><lastmod>2021-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distribution-shift-in-airline-customer-behavior-during-covid-19-2111.14938"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distribution-shift-in-airline-customer-behavior-during-covid-19-2111.14938"/></url>
<url><loc>https://scifaro.com/en/abs/privacy-preserving-serverless-edge-learning-with-decentralized-small-data-2111.14955</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/privacy-preserving-serverless-edge-learning-with-decentralized-small-data-2111.14955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/privacy-preserving-serverless-edge-learning-with-decentralized-small-data-2111.14955"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-animal-sounds-in-a-hyperdiverse-rainforest-using-convolutional-neural-networks-2111.14971</loc><lastmod>2022-10-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-animal-sounds-in-a-hyperdiverse-rainforest-using-convolutional-neural-networks-2111.14971"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-animal-sounds-in-a-hyperdiverse-rainforest-using-convolutional-neural-networks-2111.14971"/></url>
<url><loc>https://scifaro.com/en/abs/bayesian-optimization-for-auto-tuning-gpu-kernels-2111.14991</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-for-auto-tuning-gpu-kernels-2111.14991"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-for-auto-tuning-gpu-kernels-2111.14991"/></url>
<url><loc>https://scifaro.com/en/abs/harnessing-expressive-capacity-of-machine-learning-modeling-to-represent-complex-coupling-of-earth-s-auroral-space-weather-regimes-2111.14998</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/harnessing-expressive-capacity-of-machine-learning-modeling-to-represent-complex-coupling-of-earth-s-auroral-space-weather-regimes-2111.14998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/harnessing-expressive-capacity-of-machine-learning-modeling-to-represent-complex-coupling-of-earth-s-auroral-space-weather-regimes-2111.14998"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-algorithm-for-traffic-steering-in-heterogeneous-network-2111.15029</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-algorithm-for-traffic-steering-in-heterogeneous-network-2111.15029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-algorithm-for-traffic-steering-in-heterogeneous-network-2111.15029"/></url>
<url><loc>https://scifaro.com/en/abs/motif-a-large-malware-reference-dataset-with-ground-truth-family-labels-2111.15031</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/motif-a-large-malware-reference-dataset-with-ground-truth-family-labels-2111.15031"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/motif-a-large-malware-reference-dataset-with-ground-truth-family-labels-2111.15031"/></url>
<url><loc>https://scifaro.com/en/abs/co-sne-dimensionality-reduction-and-visualization-for-hyperbolic-data-2111.15037</loc><lastmod>2022-05-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/co-sne-dimensionality-reduction-and-visualization-for-hyperbolic-data-2111.15037"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/co-sne-dimensionality-reduction-and-visualization-for-hyperbolic-data-2111.15037"/></url>
<url><loc>https://scifaro.com/en/abs/online-learning-for-predictive-control-with-provable-regret-guarantees-2111.15041</loc><lastmod>2022-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-learning-for-predictive-control-with-provable-regret-guarantees-2111.15041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-learning-for-predictive-control-with-provable-regret-guarantees-2111.15041"/></url>
<url><loc>https://scifaro.com/en/abs/the-geometric-occam-s-razor-implicit-in-deep-learning-2111.15090</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-geometric-occam-s-razor-implicit-in-deep-learning-2111.15090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-geometric-occam-s-razor-implicit-in-deep-learning-2111.15090"/></url>
<url><loc>https://scifaro.com/en/abs/trust-the-critics-generatorless-and-multipurpose-wgans-with-initial-convergence-guarantees-2111.15099</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trust-the-critics-generatorless-and-multipurpose-wgans-with-initial-convergence-guarantees-2111.15099"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trust-the-critics-generatorless-and-multipurpose-wgans-with-initial-convergence-guarantees-2111.15099"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-data-driven-algorithm-to-predict-anomalous-prescription-based-on-patient-s-feature-set-2111.15101</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-data-driven-algorithm-to-predict-anomalous-prescription-based-on-patient-s-feature-set-2111.15101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-data-driven-algorithm-to-predict-anomalous-prescription-based-on-patient-s-feature-set-2111.15101"/></url>
<url><loc>https://scifaro.com/en/abs/maple-microprocessor-a-priori-for-latency-estimation-2111.15106</loc><lastmod>2022-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/maple-microprocessor-a-priori-for-latency-estimation-2111.15106"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/maple-microprocessor-a-priori-for-latency-estimation-2111.15106"/></url>
<url><loc>https://scifaro.com/en/abs/auglichem-data-augmentation-library-of-chemical-structures-for-machine-learning-2111.15112</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/auglichem-data-augmentation-library-of-chemical-structures-for-machine-learning-2111.15112"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/auglichem-data-augmentation-library-of-chemical-structures-for-machine-learning-2111.15112"/></url>
<url><loc>https://scifaro.com/en/abs/lossplot-a-better-way-to-visualize-loss-landscapes-2111.15133</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lossplot-a-better-way-to-visualize-loss-landscapes-2111.15133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lossplot-a-better-way-to-visualize-loss-landscapes-2111.15133"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-periodicity-towards-a-unifying-framework-for-activations-in-coordinate-mlps-2111.15135</loc><lastmod>2022-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-periodicity-towards-a-unifying-framework-for-activations-in-coordinate-mlps-2111.15135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-periodicity-towards-a-unifying-framework-for-activations-in-coordinate-mlps-2111.15135"/></url>
<url><loc>https://scifaro.com/en/abs/breaking-the-linear-iteration-cost-barrier-for-some-well-known-conditional-gradient-methods-using-maxip-data-structures-2111.15139</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/breaking-the-linear-iteration-cost-barrier-for-some-well-known-conditional-gradient-methods-using-maxip-data-structures-2111.15139"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/breaking-the-linear-iteration-cost-barrier-for-some-well-known-conditional-gradient-methods-using-maxip-data-structures-2111.15139"/></url>
<url><loc>https://scifaro.com/en/abs/path-integral-sampler-a-stochastic-control-approach-for-sampling-2111.15141</loc><lastmod>2022-03-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/path-integral-sampler-a-stochastic-control-approach-for-sampling-2111.15141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/path-integral-sampler-a-stochastic-control-approach-for-sampling-2111.15141"/></url>
<url><loc>https://scifaro.com/en/abs/molecular-attributes-transfer-from-non-parallel-data-2111.15146</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molecular-attributes-transfer-from-non-parallel-data-2111.15146"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molecular-attributes-transfer-from-non-parallel-data-2111.15146"/></url>
<url><loc>https://scifaro.com/en/abs/gcastle-a-python-toolbox-for-causal-discovery-2111.15155</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gcastle-a-python-toolbox-for-causal-discovery-2111.15155"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gcastle-a-python-toolbox-for-causal-discovery-2111.15155"/></url>
<url><loc>https://scifaro.com/en/abs/a-highly-effective-low-rank-compression-of-deep-neural-networks-with-modified-beam-search-and-modified-stable-rank-2111.15179</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-highly-effective-low-rank-compression-of-deep-neural-networks-with-modified-beam-search-and-modified-stable-rank-2111.15179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-highly-effective-low-rank-compression-of-deep-neural-networks-with-modified-beam-search-and-modified-stable-rank-2111.15179"/></url>
<url><loc>https://scifaro.com/en/abs/automatic-synthesis-of-diverse-weak-supervision-sources-for-behavior-analysis-2111.15186</loc><lastmod>2022-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automatic-synthesis-of-diverse-weak-supervision-sources-for-behavior-analysis-2111.15186"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automatic-synthesis-of-diverse-weak-supervision-sources-for-behavior-analysis-2111.15186"/></url>
<url><loc>https://scifaro.com/en/abs/global-convergence-using-policy-gradient-methods-for-model-free-markovian-jump-linear-quadratic-control-2111.15228</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/global-convergence-using-policy-gradient-methods-for-model-free-markovian-jump-linear-quadratic-control-2111.15228"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/global-convergence-using-policy-gradient-methods-for-model-free-markovian-jump-linear-quadratic-control-2111.15228"/></url>
<url><loc>https://scifaro.com/en/abs/approximate-spectral-decomposition-of-fisher-information-matrix-for-simple-relu-networks-2111.15256</loc><lastmod>2023-03-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/approximate-spectral-decomposition-of-fisher-information-matrix-for-simple-relu-networks-2111.15256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/approximate-spectral-decomposition-of-fisher-information-matrix-for-simple-relu-networks-2111.15256"/></url>
<url><loc>https://scifaro.com/en/abs/deepal-deep-active-learning-in-python-2111.15258</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deepal-deep-active-learning-in-python-2111.15258"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deepal-deep-active-learning-in-python-2111.15258"/></url>
<url><loc>https://scifaro.com/en/abs/deep-auto-encoder-with-neural-response-2111.15309</loc><lastmod>2022-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-auto-encoder-with-neural-response-2111.15309"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-auto-encoder-with-neural-response-2111.15309"/></url>
<url><loc>https://scifaro.com/en/abs/autodrop-training-deep-learning-models-with-automatic-learning-rate-drop-2111.15317</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autodrop-training-deep-learning-models-with-automatic-learning-rate-drop-2111.15317"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autodrop-training-deep-learning-models-with-automatic-learning-rate-drop-2111.15317"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-factor-models-for-the-generation-of-improved-autism-diagnostic-biomarkers-2111.15347</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-factor-models-for-the-generation-of-improved-autism-diagnostic-biomarkers-2111.15347"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-factor-models-for-the-generation-of-improved-autism-diagnostic-biomarkers-2111.15347"/></url>
<url><loc>https://scifaro.com/en/abs/overcoming-limited-battery-data-challenges-a-coupled-neural-network-approach-2111.15348</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcoming-limited-battery-data-challenges-a-coupled-neural-network-approach-2111.15348"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcoming-limited-battery-data-challenges-a-coupled-neural-network-approach-2111.15348"/></url>
<url><loc>https://scifaro.com/en/abs/ai-and-the-everything-in-the-whole-wide-world-benchmark-2111.15366</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ai-and-the-everything-in-the-whole-wide-world-benchmark-2111.15366"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ai-and-the-everything-in-the-whole-wide-world-benchmark-2111.15366"/></url>
<url><loc>https://scifaro.com/en/abs/continuous-control-with-ensemble-deep-deterministic-policy-gradients-2111.15382</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/continuous-control-with-ensemble-deep-deterministic-policy-gradients-2111.15382"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/continuous-control-with-ensemble-deep-deterministic-policy-gradients-2111.15382"/></url>
<url><loc>https://scifaro.com/en/abs/neuralprophet-explainable-forecasting-at-scale-2111.15397</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuralprophet-explainable-forecasting-at-scale-2111.15397"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuralprophet-explainable-forecasting-at-scale-2111.15397"/></url>
<url><loc>https://scifaro.com/en/abs/neuron-with-steady-response-leads-to-better-generalization-2111.15414</loc><lastmod>2022-11-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neuron-with-steady-response-leads-to-better-generalization-2111.15414"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neuron-with-steady-response-leads-to-better-generalization-2111.15414"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-prototype-networks-for-continual-graph-representation-learning-2111.15422</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-prototype-networks-for-continual-graph-representation-learning-2111.15422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-prototype-networks-for-continual-graph-representation-learning-2111.15422"/></url>
<url><loc>https://scifaro.com/en/abs/binary-independent-component-analysis-a-non-stationarity-based-approach-2111.15431</loc><lastmod>2022-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/binary-independent-component-analysis-a-non-stationarity-based-approach-2111.15431"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/binary-independent-component-analysis-a-non-stationarity-based-approach-2111.15431"/></url>
<url><loc>https://scifaro.com/en/abs/tiws-iforest-isolation-forest-in-weakly-supervised-and-tiny-ml-scenarios-2111.15432</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tiws-iforest-isolation-forest-in-weakly-supervised-and-tiny-ml-scenarios-2111.15432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tiws-iforest-isolation-forest-in-weakly-supervised-and-tiny-ml-scenarios-2111.15432"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-generalization-of-agricultural-drought-classification-from-climate-data-2111.15452</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-generalization-of-agricultural-drought-classification-from-climate-data-2111.15452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-generalization-of-agricultural-drought-classification-from-climate-data-2111.15452"/></url>
<url><loc>https://scifaro.com/en/abs/energy-efficient-inference-on-the-edge-exploiting-tinyml-capabilities-for-uavs-2111.15481</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/energy-efficient-inference-on-the-edge-exploiting-tinyml-capabilities-for-uavs-2111.15481"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/energy-efficient-inference-on-the-edge-exploiting-tinyml-capabilities-for-uavs-2111.15481"/></url>
<url><loc>https://scifaro.com/en/abs/frob-few-shot-robust-model-for-classification-and-out-of-distribution-detection-2111.15487</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/frob-few-shot-robust-model-for-classification-and-out-of-distribution-detection-2111.15487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/frob-few-shot-robust-model-for-classification-and-out-of-distribution-detection-2111.15487"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-comprehensive-visualization-of-structure-in-data-2111.15506</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-comprehensive-visualization-of-structure-in-data-2111.15506"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-comprehensive-visualization-of-structure-in-data-2111.15506"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-adversaries-yet-faltering-to-noise-leveraging-conditional-variational-autoencoders-for-adversary-detection-in-the-presence-of-noisy-images-2111.15518</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-adversaries-yet-faltering-to-noise-leveraging-conditional-variational-autoencoders-for-adversary-detection-in-the-presence-of-noisy-images-2111.15518"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-adversaries-yet-faltering-to-noise-leveraging-conditional-variational-autoencoders-for-adversary-detection-in-the-presence-of-noisy-images-2111.15518"/></url>
<url><loc>https://scifaro.com/en/abs/node-level-differentially-private-graph-neural-networks-2111.15521</loc><lastmod>2022-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/node-level-differentially-private-graph-neural-networks-2111.15521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/node-level-differentially-private-graph-neural-networks-2111.15521"/></url>
<url><loc>https://scifaro.com/en/abs/embedding-principle-a-hierarchical-structure-of-loss-landscape-of-deep-neural-networks-2111.15527</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedding-principle-a-hierarchical-structure-of-loss-landscape-of-deep-neural-networks-2111.15527"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedding-principle-a-hierarchical-structure-of-loss-landscape-of-deep-neural-networks-2111.15527"/></url>
<url><loc>https://scifaro.com/en/abs/model-free-mu-synthesis-via-adversarial-reinforcement-learning-2111.15537</loc><lastmod>2022-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-free-mu-synthesis-via-adversarial-reinforcement-learning-2111.15537"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-free-mu-synthesis-via-adversarial-reinforcement-learning-2111.15537"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-transfer-for-traffic-forecasting-via-multi-task-learning-2111.15542</loc><lastmod>2021-12-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-transfer-for-traffic-forecasting-via-multi-task-learning-2111.15542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-transfer-for-traffic-forecasting-via-multi-task-learning-2111.15542"/></url>
<url><loc>https://scifaro.com/en/abs/black-box-tests-for-algorithmic-stability-2111.15546</loc><lastmod>2022-12-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/black-box-tests-for-algorithmic-stability-2111.15546"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/black-box-tests-for-algorithmic-stability-2111.15546"/></url>
<url><loc>https://scifaro.com/en/abs/the-exponentially-tilted-gaussian-prior-for-variational-autoencoders-2111.15646</loc><lastmod>2022-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-exponentially-tilted-gaussian-prior-for-variational-autoencoders-2111.15646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-exponentially-tilted-gaussian-prior-for-variational-autoencoders-2111.15646"/></url>
<url><loc>https://scifaro.com/en/abs/ocr-free-document-understanding-transformer-2111.15664</loc><lastmod>2022-10-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ocr-free-document-understanding-transformer-2111.15664"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ocr-free-document-understanding-transformer-2111.15664"/></url>
<url><loc>https://scifaro.com/en/abs/pixelated-butterfly-simple-and-efficient-sparse-training-for-neural-network-models-2112.00029</loc><lastmod>2022-05-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pixelated-butterfly-simple-and-efficient-sparse-training-for-neural-network-models-2112.00029"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pixelated-butterfly-simple-and-efficient-sparse-training-for-neural-network-models-2112.00029"/></url>
<url><loc>https://scifaro.com/en/abs/robust-and-provably-monotonic-networks-2112.00038</loc><lastmod>2023-08-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-and-provably-monotonic-networks-2112.00038"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-and-provably-monotonic-networks-2112.00038"/></url>
<url><loc>https://scifaro.com/en/abs/what-to-learn-and-how-toward-effective-learning-from-rationales-2112.00071</loc><lastmod>2022-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/what-to-learn-and-how-toward-effective-learning-from-rationales-2112.00071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/what-to-learn-and-how-toward-effective-learning-from-rationales-2112.00071"/></url>
<url><loc>https://scifaro.com/en/abs/leveraging-intrinsic-gradient-information-for-further-training-of-differentiable-machine-learning-models-2112.00094</loc><lastmod>2022-01-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/leveraging-intrinsic-gradient-information-for-further-training-of-differentiable-machine-learning-models-2112.00094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/leveraging-intrinsic-gradient-information-for-further-training-of-differentiable-machine-learning-models-2112.00094"/></url>
<url><loc>https://scifaro.com/en/abs/fast-topological-clustering-with-wasserstein-distance-2112.00101</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-topological-clustering-with-wasserstein-distance-2112.00101"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-topological-clustering-with-wasserstein-distance-2112.00101"/></url>
<url><loc>https://scifaro.com/en/abs/show-your-work-scratchpads-for-intermediate-computation-with-language-models-2112.00114</loc><lastmod>2022-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/show-your-work-scratchpads-for-intermediate-computation-with-language-models-2112.00114"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/show-your-work-scratchpads-for-intermediate-computation-with-language-models-2112.00114"/></url>
<url><loc>https://scifaro.com/en/abs/covidalert-a-wristwatch-based-system-to-alert-users-from-face-touching-2112.00131</loc><lastmod>2022-04-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/covidalert-a-wristwatch-based-system-to-alert-users-from-face-touching-2112.00131"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/covidalert-a-wristwatch-based-system-to-alert-users-from-face-touching-2112.00131"/></url>
<url><loc>https://scifaro.com/en/abs/pokebnn-a-binary-pursuit-of-lightweight-accuracy-2112.00133</loc><lastmod>2022-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pokebnn-a-binary-pursuit-of-lightweight-accuracy-2112.00133"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pokebnn-a-binary-pursuit-of-lightweight-accuracy-2112.00133"/></url>
<url><loc>https://scifaro.com/en/abs/solving-reward-collecting-problems-with-uavs-a-comparison-of-online-optimization-and-q-learning-2112.00141</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/solving-reward-collecting-problems-with-uavs-a-comparison-of-online-optimization-and-q-learning-2112.00141"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/solving-reward-collecting-problems-with-uavs-a-comparison-of-online-optimization-and-q-learning-2112.00141"/></url>
<url><loc>https://scifaro.com/en/abs/improving-differentiable-architecture-search-with-a-generative-model-2112.00171</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-differentiable-architecture-search-with-a-generative-model-2112.00171"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-differentiable-architecture-search-with-a-generative-model-2112.00171"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-optimization-with-examplewise-gradients-2112.00174</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-optimization-with-examplewise-gradients-2112.00174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-optimization-with-examplewise-gradients-2112.00174"/></url>
<url><loc>https://scifaro.com/en/abs/a-collection-of-the-accepted-abstracts-for-the-machine-learning-for-health-ml4h-symposium-2021-2112.00179</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-collection-of-the-accepted-abstracts-for-the-machine-learning-for-health-ml4h-symposium-2021-2112.00179"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-collection-of-the-accepted-abstracts-for-the-machine-learning-for-health-ml4h-symposium-2021-2112.00179"/></url>
<url><loc>https://scifaro.com/en/abs/is-the-use-of-deep-learning-and-artificial-intelligence-an-appropriate-means-to-locate-debris-in-the-ocean-without-harming-aquatic-wildlife-2112.00190</loc><lastmod>2022-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-the-use-of-deep-learning-and-artificial-intelligence-an-appropriate-means-to-locate-debris-in-the-ocean-without-harming-aquatic-wildlife-2112.00190"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-the-use-of-deep-learning-and-artificial-intelligence-an-appropriate-means-to-locate-debris-in-the-ocean-without-harming-aquatic-wildlife-2112.00190"/></url>
<url><loc>https://scifaro.com/en/abs/public-data-assisted-mirror-descent-for-private-model-training-2112.00193</loc><lastmod>2022-03-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/public-data-assisted-mirror-descent-for-private-model-training-2112.00193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/public-data-assisted-mirror-descent-for-private-model-training-2112.00193"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-online-bayesian-inference-for-neural-bandits-2112.00195</loc><lastmod>2022-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-online-bayesian-inference-for-neural-bandits-2112.00195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-online-bayesian-inference-for-neural-bandits-2112.00195"/></url>
<url><loc>https://scifaro.com/en/abs/a-generic-physics-informed-neural-network-based-framework-for-reliability-assessment-of-multi-state-systems-2112.00220</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generic-physics-informed-neural-network-based-framework-for-reliability-assessment-of-multi-state-systems-2112.00220"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generic-physics-informed-neural-network-based-framework-for-reliability-assessment-of-multi-state-systems-2112.00220"/></url>
<url><loc>https://scifaro.com/en/abs/a-machine-learning-analysis-of-covid-19-mental-health-data-2112.00227</loc><lastmod>2022-09-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-machine-learning-analysis-of-covid-19-mental-health-data-2112.00227"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-machine-learning-analysis-of-covid-19-mental-health-data-2112.00227"/></url>
<url><loc>https://scifaro.com/en/abs/imbalanced-graph-classification-via-graph-of-graph-neural-networks-2112.00238</loc><lastmod>2022-09-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/imbalanced-graph-classification-via-graph-of-graph-neural-networks-2112.00238"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/imbalanced-graph-classification-via-graph-of-graph-neural-networks-2112.00238"/></url>
<url><loc>https://scifaro.com/en/abs/training-batchnorm-only-in-neural-architecture-search-and-beyond-2112.00265</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-batchnorm-only-in-neural-architecture-search-and-beyond-2112.00265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-batchnorm-only-in-neural-architecture-search-and-beyond-2112.00265"/></url>
<url><loc>https://scifaro.com/en/abs/learning-from-mistakes-based-on-class-weighting-with-application-to-neural-architecture-search-2112.00275</loc><lastmod>2022-02-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-from-mistakes-based-on-class-weighting-with-application-to-neural-architecture-search-2112.00275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-from-mistakes-based-on-class-weighting-with-application-to-neural-architecture-search-2112.00275"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-social-posterior-collapse-in-variational-autoencoder-for-interaction-modeling-2112.00298</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-social-posterior-collapse-in-variational-autoencoder-for-interaction-modeling-2112.00298"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-social-posterior-collapse-in-variational-autoencoder-for-interaction-modeling-2112.00298"/></url>
<url><loc>https://scifaro.com/en/abs/forward-operator-estimation-in-generative-models-with-kernel-transfer-operators-2112.00305</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/forward-operator-estimation-in-generative-models-with-kernel-transfer-operators-2112.00305"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/forward-operator-estimation-in-generative-models-with-kernel-transfer-operators-2112.00305"/></url>
<url><loc>https://scifaro.com/en/abs/optimizing-for-in-memory-deep-learning-with-emerging-memory-technology-2112.00324</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimizing-for-in-memory-deep-learning-with-emerging-memory-technology-2112.00324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimizing-for-in-memory-deep-learning-with-emerging-memory-technology-2112.00324"/></url>
<url><loc>https://scifaro.com/en/abs/a-daily-tourism-demand-prediction-framework-based-on-multi-head-attention-cnn-the-case-of-the-foreign-entrant-in-south-korea-2112.00328</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-daily-tourism-demand-prediction-framework-based-on-multi-head-attention-cnn-the-case-of-the-foreign-entrant-in-south-korea-2112.00328"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-daily-tourism-demand-prediction-framework-based-on-multi-head-attention-cnn-the-case-of-the-foreign-entrant-in-south-korea-2112.00328"/></url>
<url><loc>https://scifaro.com/en/abs/visruler-visual-analytics-for-extracting-decision-rules-from-bagged-and-boosted-decision-trees-2112.00334</loc><lastmod>2024-04-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/visruler-visual-analytics-for-extracting-decision-rules-from-bagged-and-boosted-decision-trees-2112.00334"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/visruler-visual-analytics-for-extracting-decision-rules-from-bagged-and-boosted-decision-trees-2112.00334"/></url>
<url><loc>https://scifaro.com/en/abs/dimensionality-reduction-for-categorical-data-2112.00362</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dimensionality-reduction-for-categorical-data-2112.00362"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dimensionality-reduction-for-categorical-data-2112.00362"/></url>
<url><loc>https://scifaro.com/en/abs/ell-infty-robustness-and-beyond-unleashing-efficient-adversarial-training-2112.00378</loc><lastmod>2022-07-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ell-infty-robustness-and-beyond-unleashing-efficient-adversarial-training-2112.00378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ell-infty-robustness-and-beyond-unleashing-efficient-adversarial-training-2112.00378"/></url>
<url><loc>https://scifaro.com/en/abs/a-comprehensive-study-on-various-statistical-techniques-for-prediction-of-movie-success-2112.00395</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-comprehensive-study-on-various-statistical-techniques-for-prediction-of-movie-success-2112.00395"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-comprehensive-study-on-various-statistical-techniques-for-prediction-of-movie-success-2112.00395"/></url>
<url><loc>https://scifaro.com/en/abs/effective-and-efficient-structure-learning-with-pruning-and-model-averaging-strategies-2112.00398</loc><lastmod>2022-05-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-and-efficient-structure-learning-with-pruning-and-model-averaging-strategies-2112.00398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-and-efficient-structure-learning-with-pruning-and-model-averaging-strategies-2112.00398"/></url>
<url><loc>https://scifaro.com/en/abs/compare-where-it-matters-using-layer-wise-regularization-to-improve-federated-learning-on-heterogeneous-data-2112.00407</loc><lastmod>2024-06-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/compare-where-it-matters-using-layer-wise-regularization-to-improve-federated-learning-on-heterogeneous-data-2112.00407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/compare-where-it-matters-using-layer-wise-regularization-to-improve-federated-learning-on-heterogeneous-data-2112.00407"/></url>
<url><loc>https://scifaro.com/en/abs/multi-agent-transfer-learning-in-reinforcement-learning-based-ride-sharing-systems-2112.00424</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-agent-transfer-learning-in-reinforcement-learning-based-ride-sharing-systems-2112.00424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-agent-transfer-learning-in-reinforcement-learning-based-ride-sharing-systems-2112.00424"/></url>
<url><loc>https://scifaro.com/en/abs/training-experimentally-robust-and-interpretable-binarized-regression-models-using-mixed-integer-programming-2112.00434</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-experimentally-robust-and-interpretable-binarized-regression-models-using-mixed-integer-programming-2112.00434"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-experimentally-robust-and-interpretable-binarized-regression-models-using-mixed-integer-programming-2112.00434"/></url>
<url><loc>https://scifaro.com/en/abs/seeking-sinhala-sentiment-predicting-facebook-reactions-of-sinhala-posts-2112.00468</loc><lastmod>2022-08-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/seeking-sinhala-sentiment-predicting-facebook-reactions-of-sinhala-posts-2112.00468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/seeking-sinhala-sentiment-predicting-facebook-reactions-of-sinhala-posts-2112.00468"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-practical-consistency-of-meta-reinforcement-learning-algorithms-2112.00478</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-practical-consistency-of-meta-reinforcement-learning-algorithms-2112.00478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-practical-consistency-of-meta-reinforcement-learning-algorithms-2112.00478"/></url>
<url><loc>https://scifaro.com/en/abs/structure-aware-label-smoothing-for-graph-neural-networks-2112.00499</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-aware-label-smoothing-for-graph-neural-networks-2112.00499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-aware-label-smoothing-for-graph-neural-networks-2112.00499"/></url>
<url><loc>https://scifaro.com/en/abs/molecular-contrastive-learning-with-chemical-element-knowledge-graph-2112.00544</loc><lastmod>2022-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/molecular-contrastive-learning-with-chemical-element-knowledge-graph-2112.00544"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/molecular-contrastive-learning-with-chemical-element-knowledge-graph-2112.00544"/></url>
<url><loc>https://scifaro.com/en/abs/sade-learning-models-that-provably-satisfy-domain-constraints-2112.00552</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sade-learning-models-that-provably-satisfy-domain-constraints-2112.00552"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sade-learning-models-that-provably-satisfy-domain-constraints-2112.00552"/></url>
<url><loc>https://scifaro.com/en/abs/toward-foundation-models-for-earth-monitoring-proposal-for-a-climate-change-benchmark-2112.00570</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-foundation-models-for-earth-monitoring-proposal-for-a-climate-change-benchmark-2112.00570"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-foundation-models-for-earth-monitoring-proposal-for-a-climate-change-benchmark-2112.00570"/></url>
<url><loc>https://scifaro.com/en/abs/conditional-expectation-based-value-decomposition-for-scalable-on-demand-ride-pooling-2112.00579</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/conditional-expectation-based-value-decomposition-for-scalable-on-demand-ride-pooling-2112.00579"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/conditional-expectation-based-value-decomposition-for-scalable-on-demand-ride-pooling-2112.00579"/></url>
<url><loc>https://scifaro.com/en/abs/meta-arcade-a-configurable-environment-suite-for-meta-learning-2112.00583</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/meta-arcade-a-configurable-environment-suite-for-meta-learning-2112.00583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/meta-arcade-a-configurable-environment-suite-for-meta-learning-2112.00583"/></url>
<url><loc>https://scifaro.com/en/abs/outlier-detection-using-ai-a-survey-2112.00588</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/outlier-detection-using-ai-a-survey-2112.00588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/outlier-detection-using-ai-a-survey-2112.00588"/></url>
<url><loc>https://scifaro.com/en/abs/towards-futuristic-autonomous-experimentation-a-surprise-reacting-sequential-experiment-policy-2112.00600</loc><lastmod>2024-10-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-futuristic-autonomous-experimentation-a-surprise-reacting-sequential-experiment-policy-2112.00600"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-futuristic-autonomous-experimentation-a-surprise-reacting-sequential-experiment-policy-2112.00600"/></url>
<url><loc>https://scifaro.com/en/abs/siamese-neural-encoders-for-long-term-indoor-localization-with-mobile-devices-2112.00654</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/siamese-neural-encoders-for-long-term-indoor-localization-with-mobile-devices-2112.00654"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/siamese-neural-encoders-for-long-term-indoor-localization-with-mobile-devices-2112.00654"/></url>
<url><loc>https://scifaro.com/en/abs/certified-adversarial-defenses-meet-out-of-distribution-corruptions-benchmarking-robustness-and-simple-baselines-2112.00659</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/certified-adversarial-defenses-meet-out-of-distribution-corruptions-benchmarking-robustness-and-simple-baselines-2112.00659"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/certified-adversarial-defenses-meet-out-of-distribution-corruptions-benchmarking-robustness-and-simple-baselines-2112.00659"/></url>
<url><loc>https://scifaro.com/en/abs/momo-deep-learning-driven-classification-of-external-dicom-studies-for-pacs-archivation-2112.00661</loc><lastmod>2021-12-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/momo-deep-learning-driven-classification-of-external-dicom-studies-for-pacs-archivation-2112.00661"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/momo-deep-learning-driven-classification-of-external-dicom-studies-for-pacs-archivation-2112.00661"/></url>
<url><loc>https://scifaro.com/en/abs/graph-conditioned-sparse-attention-for-improved-source-code-understanding-2112.00663</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-conditioned-sparse-attention-for-improved-source-code-understanding-2112.00663"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-conditioned-sparse-attention-for-improved-source-code-understanding-2112.00663"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-symptom-inquiring-and-diagnosis-via-adaptive-alignment-of-reinforcement-learning-and-classification-2112.00733</loc><lastmod>2022-06-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-symptom-inquiring-and-diagnosis-via-adaptive-alignment-of-reinforcement-learning-and-classification-2112.00733"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-symptom-inquiring-and-diagnosis-via-adaptive-alignment-of-reinforcement-learning-and-classification-2112.00733"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-federated-learning-with-adaptive-batchnorm-for-healthcare-2112.00734</loc><lastmod>2022-05-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-federated-learning-with-adaptive-batchnorm-for-healthcare-2112.00734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-federated-learning-with-adaptive-batchnorm-for-healthcare-2112.00734"/></url>
<url><loc>https://scifaro.com/en/abs/hardware-friendly-deep-learning-by-network-quantization-and-binarization-2112.00737</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hardware-friendly-deep-learning-by-network-quantization-and-binarization-2112.00737"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hardware-friendly-deep-learning-by-network-quantization-and-binarization-2112.00737"/></url>
<url><loc>https://scifaro.com/en/abs/incomplete-multi-view-clustering-via-cross-view-relation-transfer-2112.00739</loc><lastmod>2022-11-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/incomplete-multi-view-clustering-via-cross-view-relation-transfer-2112.00739"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/incomplete-multi-view-clustering-via-cross-view-relation-transfer-2112.00739"/></url>
<url><loc>https://scifaro.com/en/abs/provable-guarantees-for-understanding-out-of-distribution-detection-2112.00787</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provable-guarantees-for-understanding-out-of-distribution-detection-2112.00787"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provable-guarantees-for-understanding-out-of-distribution-detection-2112.00787"/></url>
<url><loc>https://scifaro.com/en/abs/controlling-conditional-language-models-without-catastrophic-forgetting-2112.00791</loc><lastmod>2022-06-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/controlling-conditional-language-models-without-catastrophic-forgetting-2112.00791"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/controlling-conditional-language-models-without-catastrophic-forgetting-2112.00791"/></url>
<url><loc>https://scifaro.com/en/abs/fast-sparse-decision-tree-optimization-via-reference-ensembles-2112.00798</loc><lastmod>2022-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-sparse-decision-tree-optimization-via-reference-ensembles-2112.00798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-sparse-decision-tree-optimization-via-reference-ensembles-2112.00798"/></url>
<url><loc>https://scifaro.com/en/abs/output-weighted-and-relative-entropy-loss-functions-for-deep-learning-precursors-of-extreme-events-2112.00825</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/output-weighted-and-relative-entropy-loss-functions-for-deep-learning-precursors-of-extreme-events-2112.00825"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/output-weighted-and-relative-entropy-loss-functions-for-deep-learning-precursors-of-extreme-events-2112.00825"/></url>
<url><loc>https://scifaro.com/en/abs/inducing-causal-structure-for-interpretable-neural-networks-2112.00826</loc><lastmod>2022-07-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inducing-causal-structure-for-interpretable-neural-networks-2112.00826"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inducing-causal-structure-for-interpretable-neural-networks-2112.00826"/></url>
<url><loc>https://scifaro.com/en/abs/improving-differentially-private-sgd-via-randomly-sparsified-gradients-2112.00845</loc><lastmod>2023-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-differentially-private-sgd-via-randomly-sparsified-gradients-2112.00845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-differentially-private-sgd-via-randomly-sparsified-gradients-2112.00845"/></url>
<url><loc>https://scifaro.com/en/abs/decomposing-representations-for-deterministic-uncertainty-estimation-2112.00856</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decomposing-representations-for-deterministic-uncertainty-estimation-2112.00856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decomposing-representations-for-deterministic-uncertainty-estimation-2112.00856"/></url>
<url><loc>https://scifaro.com/en/abs/neural-stochastic-dual-dynamic-programming-2112.00874</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-stochastic-dual-dynamic-programming-2112.00874"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-stochastic-dual-dynamic-programming-2112.00874"/></url>
<url><loc>https://scifaro.com/en/abs/learning-invariant-representations-with-missing-data-2112.00881</loc><lastmod>2022-06-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-invariant-representations-with-missing-data-2112.00881"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-invariant-representations-with-missing-data-2112.00881"/></url>
<url><loc>https://scifaro.com/en/abs/dope-doubly-optimistic-and-pessimistic-exploration-for-safe-reinforcement-learning-2112.00885</loc><lastmod>2022-10-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dope-doubly-optimistic-and-pessimistic-exploration-for-safe-reinforcement-learning-2112.00885"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dope-doubly-optimistic-and-pessimistic-exploration-for-safe-reinforcement-learning-2112.00885"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-explanations-via-latent-space-projection-and-interpolation-2112.00890</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-explanations-via-latent-space-projection-and-interpolation-2112.00890"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-explanations-via-latent-space-projection-and-interpolation-2112.00890"/></url>
<url><loc>https://scifaro.com/en/abs/helixmo-sample-efficient-molecular-optimization-in-scene-sensitive-latent-space-2112.00905</loc><lastmod>2023-11-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/helixmo-sample-efficient-molecular-optimization-in-scene-sensitive-latent-space-2112.00905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/helixmo-sample-efficient-molecular-optimization-in-scene-sensitive-latent-space-2112.00905"/></url>
<url><loc>https://scifaro.com/en/abs/protgnn-towards-self-explaining-graph-neural-networks-2112.00911</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/protgnn-towards-self-explaining-graph-neural-networks-2112.00911"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/protgnn-towards-self-explaining-graph-neural-networks-2112.00911"/></url>
<url><loc>https://scifaro.com/en/abs/hyperspns-compact-and-expressive-probabilistic-circuits-2112.00914</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyperspns-compact-and-expressive-probabilistic-circuits-2112.00914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyperspns-compact-and-expressive-probabilistic-circuits-2112.00914"/></url>
<url><loc>https://scifaro.com/en/abs/context-aware-online-client-selection-for-hierarchical-federated-learning-2112.00925</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-aware-online-client-selection-for-hierarchical-federated-learning-2112.00925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-aware-online-client-selection-for-hierarchical-federated-learning-2112.00925"/></url>
<url><loc>https://scifaro.com/en/abs/reward-free-attacks-in-multi-agent-reinforcement-learning-2112.00940</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reward-free-attacks-in-multi-agent-reinforcement-learning-2112.00940"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reward-free-attacks-in-multi-agent-reinforcement-learning-2112.00940"/></url>
<url><loc>https://scifaro.com/en/abs/dpvi-a-dynamic-weight-particle-based-variational-inference-framework-2112.00945</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dpvi-a-dynamic-weight-particle-based-variational-inference-framework-2112.00945"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dpvi-a-dynamic-weight-particle-based-variational-inference-framework-2112.00945"/></url>
<url><loc>https://scifaro.com/en/abs/quantile-filtered-imitation-learning-2112.00950</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/quantile-filtered-imitation-learning-2112.00950"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/quantile-filtered-imitation-learning-2112.00950"/></url>
<url><loc>https://scifaro.com/en/abs/a-discrete-event-based-simulator-for-distributed-deep-learning-2112.00952</loc><lastmod>2022-11-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-discrete-event-based-simulator-for-distributed-deep-learning-2112.00952"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-discrete-event-based-simulator-for-distributed-deep-learning-2112.00952"/></url>
<url><loc>https://scifaro.com/en/abs/source-free-unsupervised-graph-domain-adaptation-2112.00955</loc><lastmod>2023-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/source-free-unsupervised-graph-domain-adaptation-2112.00955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/source-free-unsupervised-graph-domain-adaptation-2112.00955"/></url>
<url><loc>https://scifaro.com/en/abs/personalized-federated-learning-of-driver-prediction-models-for-autonomous-driving-2112.00956</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/personalized-federated-learning-of-driver-prediction-models-for-autonomous-driving-2112.00956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/personalized-federated-learning-of-driver-prediction-models-for-autonomous-driving-2112.00956"/></url>
<url><loc>https://scifaro.com/en/abs/large-scale-data-mining-of-rapid-residue-detection-assay-data-from-html-and-pdf-documents-improving-data-access-and-visualization-for-veterinarians-2112.00962</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/large-scale-data-mining-of-rapid-residue-detection-assay-data-from-html-and-pdf-documents-improving-data-access-and-visualization-for-veterinarians-2112.00962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/large-scale-data-mining-of-rapid-residue-detection-assay-data-from-html-and-pdf-documents-improving-data-access-and-visualization-for-veterinarians-2112.00962"/></url>
<url><loc>https://scifaro.com/en/abs/multi-domain-transformer-based-counterfactual-augmentation-for-earnings-call-analysis-2112.00963</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-domain-transformer-based-counterfactual-augmentation-for-earnings-call-analysis-2112.00963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-domain-transformer-based-counterfactual-augmentation-for-earnings-call-analysis-2112.00963"/></url>
<url><loc>https://scifaro.com/en/abs/adversarial-robustness-of-deep-reinforcement-learning-based-dynamic-recommender-systems-2112.00973</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adversarial-robustness-of-deep-reinforcement-learning-based-dynamic-recommender-systems-2112.00973"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adversarial-robustness-of-deep-reinforcement-learning-based-dynamic-recommender-systems-2112.00973"/></url>
<url><loc>https://scifaro.com/en/abs/gaussian-mixture-variational-autoencoder-with-contrastive-learning-for-multi-label-classification-2112.00976</loc><lastmod>2022-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gaussian-mixture-variational-autoencoder-with-contrastive-learning-for-multi-label-classification-2112.00976"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gaussian-mixture-variational-autoencoder-with-contrastive-learning-for-multi-label-classification-2112.00976"/></url>
<url><loc>https://scifaro.com/en/abs/recommending-with-recommendations-2112.00979</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/recommending-with-recommendations-2112.00979"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/recommending-with-recommendations-2112.00979"/></url>
<url><loc>https://scifaro.com/en/abs/trap-of-feature-diversity-in-the-learning-of-mlps-2112.00980</loc><lastmod>2022-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trap-of-feature-diversity-in-the-learning-of-mlps-2112.00980"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trap-of-feature-diversity-in-the-learning-of-mlps-2112.00980"/></url>
<url><loc>https://scifaro.com/en/abs/on-large-batch-training-and-sharp-minima-a-fokker-planck-perspective-2112.00987</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-large-batch-training-and-sharp-minima-a-fokker-planck-perspective-2112.00987"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-large-batch-training-and-sharp-minima-a-fokker-planck-perspective-2112.00987"/></url>
<url><loc>https://scifaro.com/en/abs/deep-transfer-learning-a-novel-collaborative-learning-model-for-cyberattack-detection-systems-in-iot-networks-2112.00988</loc><lastmod>2022-10-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-transfer-learning-a-novel-collaborative-learning-model-for-cyberattack-detection-systems-in-iot-networks-2112.00988"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-transfer-learning-a-novel-collaborative-learning-model-for-cyberattack-detection-systems-in-iot-networks-2112.00988"/></url>
<url><loc>https://scifaro.com/en/abs/embedding-decomposition-for-artifacts-removal-in-eeg-signals-2112.00989</loc><lastmod>2022-02-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/embedding-decomposition-for-artifacts-removal-in-eeg-signals-2112.00989"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/embedding-decomposition-for-artifacts-removal-in-eeg-signals-2112.00989"/></url>
<url><loc>https://scifaro.com/en/abs/editing-a-classifier-by-rewriting-its-prediction-rules-2112.01008</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/editing-a-classifier-by-rewriting-its-prediction-rules-2112.01008"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/editing-a-classifier-by-rewriting-its-prediction-rules-2112.01008"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-spatial-planning-using-transformers-2112.01010</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-spatial-planning-using-transformers-2112.01010"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-spatial-planning-using-transformers-2112.01010"/></url>
<url><loc>https://scifaro.com/en/abs/learning-optimal-predictive-checklists-2112.01020</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-optimal-predictive-checklists-2112.01020"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-optimal-predictive-checklists-2112.01020"/></url>
<url><loc>https://scifaro.com/en/abs/fighting-fire-with-fire-contrastive-debiasing-without-bias-free-data-via-generative-bias-transformation-2112.01021</loc><lastmod>2023-07-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fighting-fire-with-fire-contrastive-debiasing-without-bias-free-data-via-generative-bias-transformation-2112.01021"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fighting-fire-with-fire-contrastive-debiasing-without-bias-free-data-via-generative-bias-transformation-2112.01021"/></url>
<url><loc>https://scifaro.com/en/abs/graph4rec-a-universal-toolkit-with-graph-neural-networks-for-recommender-systems-2112.01035</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph4rec-a-universal-toolkit-with-graph-neural-networks-for-recommender-systems-2112.01035"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph4rec-a-universal-toolkit-with-graph-neural-networks-for-recommender-systems-2112.01035"/></url>
<url><loc>https://scifaro.com/en/abs/how-global-observation-works-in-federated-learning-integrating-vertical-training-into-horizontal-federated-learning-2112.01039</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-global-observation-works-in-federated-learning-integrating-vertical-training-into-horizontal-federated-learning-2112.01039"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-global-observation-works-in-federated-learning-integrating-vertical-training-into-horizontal-federated-learning-2112.01039"/></url>
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<url><loc>https://scifaro.com/en/abs/bayesian-optimization-over-permutation-spaces-2112.01049</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bayesian-optimization-over-permutation-spaces-2112.01049"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bayesian-optimization-over-permutation-spaces-2112.01049"/></url>
<url><loc>https://scifaro.com/en/abs/data-driven-interaction-analysis-of-line-failure-cascading-in-power-grid-networks-2112.01061</loc><lastmod>2022-07-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-driven-interaction-analysis-of-line-failure-cascading-in-power-grid-networks-2112.01061"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-driven-interaction-analysis-of-line-failure-cascading-in-power-grid-networks-2112.01061"/></url>
<url><loc>https://scifaro.com/en/abs/autogel-an-automated-graph-neural-network-with-explicit-link-information-2112.01064</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autogel-an-automated-graph-neural-network-with-explicit-link-information-2112.01064"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autogel-an-automated-graph-neural-network-with-explicit-link-information-2112.01064"/></url>
<url><loc>https://scifaro.com/en/abs/who-will-dropout-from-university-academic-risk-prediction-based-on-interpretable-machine-learning-2112.01079</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/who-will-dropout-from-university-academic-risk-prediction-based-on-interpretable-machine-learning-2112.01079"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/who-will-dropout-from-university-academic-risk-prediction-based-on-interpretable-machine-learning-2112.01079"/></url>
<url><loc>https://scifaro.com/en/abs/constrained-machine-learning-the-bagel-framework-2112.01088</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/constrained-machine-learning-the-bagel-framework-2112.01088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/constrained-machine-learning-the-bagel-framework-2112.01088"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-adaptive-propagation-graph-neural-networks-for-efficient-graph-learning-2112.01110</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-adaptive-propagation-graph-neural-networks-for-efficient-graph-learning-2112.01110"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-adaptive-propagation-graph-neural-networks-for-efficient-graph-learning-2112.01110"/></url>
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<url><loc>https://scifaro.com/en/abs/robust-robotic-control-from-pixels-using-contrastive-recurrent-state-space-models-2112.01163</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-robotic-control-from-pixels-using-contrastive-recurrent-state-space-models-2112.01163"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-robotic-control-from-pixels-using-contrastive-recurrent-state-space-models-2112.01163"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-self-distillation-for-graph-based-semi-supervised-learning-2112.01174</loc><lastmod>2022-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-self-distillation-for-graph-based-semi-supervised-learning-2112.01174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-self-distillation-for-graph-based-semi-supervised-learning-2112.01174"/></url>
<url><loc>https://scifaro.com/en/abs/computing-class-hierarchies-from-classifiers-2112.01187</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-class-hierarchies-from-classifiers-2112.01187"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-class-hierarchies-from-classifiers-2112.01187"/></url>
<url><loc>https://scifaro.com/en/abs/hierarchical-learning-to-solve-partial-differential-equations-using-physics-informed-neural-networks-2112.01254</loc><lastmod>2022-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hierarchical-learning-to-solve-partial-differential-equations-using-physics-informed-neural-networks-2112.01254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hierarchical-learning-to-solve-partial-differential-equations-using-physics-informed-neural-networks-2112.01254"/></url>
<url><loc>https://scifaro.com/en/abs/the-impact-of-data-distribution-on-fairness-and-robustness-in-federated-learning-2112.01274</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-impact-of-data-distribution-on-fairness-and-robustness-in-federated-learning-2112.01274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-impact-of-data-distribution-on-fairness-and-robustness-in-federated-learning-2112.01274"/></url>
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<url><loc>https://scifaro.com/en/abs/machine-learning-for-air-transport-planning-and-management-2112.01301</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/machine-learning-for-air-transport-planning-and-management-2112.01301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/machine-learning-for-air-transport-planning-and-management-2112.01301"/></url>
<url><loc>https://scifaro.com/en/abs/tinyml-platforms-benchmarking-2112.01319</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tinyml-platforms-benchmarking-2112.01319"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tinyml-platforms-benchmarking-2112.01319"/></url>
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<url><loc>https://scifaro.com/en/abs/mixing-deep-learning-and-multiple-criteria-optimization-an-application-to-distributed-learning-with-multiple-datasets-2112.01358</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mixing-deep-learning-and-multiple-criteria-optimization-an-application-to-distributed-learning-with-multiple-datasets-2112.01358"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mixing-deep-learning-and-multiple-criteria-optimization-an-application-to-distributed-learning-with-multiple-datasets-2112.01358"/></url>
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<url><loc>https://scifaro.com/en/abs/newton-methods-based-convolution-neural-networks-using-parallel-processing-2112.01401</loc><lastmod>2023-04-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/newton-methods-based-convolution-neural-networks-using-parallel-processing-2112.01401"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/newton-methods-based-convolution-neural-networks-using-parallel-processing-2112.01401"/></url>
<url><loc>https://scifaro.com/en/abs/fedrad-federated-robust-adaptive-distillation-2112.01405</loc><lastmod>2021-12-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fedrad-federated-robust-adaptive-distillation-2112.01405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fedrad-federated-robust-adaptive-distillation-2112.01405"/></url>
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<url><loc>https://scifaro.com/en/abs/hmc-with-normalizing-flows-2112.01586</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hmc-with-normalizing-flows-2112.01586"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hmc-with-normalizing-flows-2112.01586"/></url>
<url><loc>https://scifaro.com/en/abs/label-noise-detection-under-the-noise-at-random-model-with-ensemble-filters-2112.01617</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/label-noise-detection-under-the-noise-at-random-model-with-ensemble-filters-2112.01617"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/label-noise-detection-under-the-noise-at-random-model-with-ensemble-filters-2112.01617"/></url>
<url><loc>https://scifaro.com/en/abs/sample-efficient-generation-of-novel-photo-acid-generator-molecules-using-a-deep-generative-model-2112.01625</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sample-efficient-generation-of-novel-photo-acid-generator-molecules-using-a-deep-generative-model-2112.01625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sample-efficient-generation-of-novel-photo-acid-generator-molecules-using-a-deep-generative-model-2112.01625"/></url>
<url><loc>https://scifaro.com/en/abs/adasplit-adaptive-trade-offs-for-resource-constrained-distributed-deep-learning-2112.01637</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adasplit-adaptive-trade-offs-for-resource-constrained-distributed-deep-learning-2112.01637"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adasplit-adaptive-trade-offs-for-resource-constrained-distributed-deep-learning-2112.01637"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-contrastive-loss-for-self-supervised-learning-2112.01642</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-contrastive-loss-for-self-supervised-learning-2112.01642"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-contrastive-loss-for-self-supervised-learning-2112.01642"/></url>
<url><loc>https://scifaro.com/en/abs/challenges-and-opportunities-in-approximate-bayesian-deep-learning-for-intelligent-iot-systems-2112.01675</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/challenges-and-opportunities-in-approximate-bayesian-deep-learning-for-intelligent-iot-systems-2112.01675"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/challenges-and-opportunities-in-approximate-bayesian-deep-learning-for-intelligent-iot-systems-2112.01675"/></url>
<url><loc>https://scifaro.com/en/abs/differential-property-prediction-a-machine-learning-approach-to-experimental-design-in-advanced-manufacturing-2112.01687</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differential-property-prediction-a-machine-learning-approach-to-experimental-design-in-advanced-manufacturing-2112.01687"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differential-property-prediction-a-machine-learning-approach-to-experimental-design-in-advanced-manufacturing-2112.01687"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-existence-of-the-adversarial-bayes-classifier-extended-version-2112.01694</loc><lastmod>2023-08-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-existence-of-the-adversarial-bayes-classifier-extended-version-2112.01694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-existence-of-the-adversarial-bayes-classifier-extended-version-2112.01694"/></url>
<url><loc>https://scifaro.com/en/abs/contrastive-continual-learning-with-feature-propagation-2112.01713</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contrastive-continual-learning-with-feature-propagation-2112.01713"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contrastive-continual-learning-with-feature-propagation-2112.01713"/></url>
<url><loc>https://scifaro.com/en/abs/reduced-reused-and-recycled-the-life-of-a-dataset-in-machine-learning-research-2112.01716</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reduced-reused-and-recycled-the-life-of-a-dataset-in-machine-learning-research-2112.01716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reduced-reused-and-recycled-the-life-of-a-dataset-in-machine-learning-research-2112.01716"/></url>
<url><loc>https://scifaro.com/en/abs/improving-predictions-of-tail-end-labels-using-concatenated-biomed-transformers-for-long-medical-documents-2112.01718</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-predictions-of-tail-end-labels-using-concatenated-biomed-transformers-for-long-medical-documents-2112.01718"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-predictions-of-tail-end-labels-using-concatenated-biomed-transformers-for-long-medical-documents-2112.01718"/></url>
<url><loc>https://scifaro.com/en/abs/attack-centric-approach-for-evaluating-transferability-of-adversarial-samples-in-machine-learning-models-2112.01777</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attack-centric-approach-for-evaluating-transferability-of-adversarial-samples-in-machine-learning-models-2112.01777"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attack-centric-approach-for-evaluating-transferability-of-adversarial-samples-in-machine-learning-models-2112.01777"/></url>
<url><loc>https://scifaro.com/en/abs/ssdl-self-supervised-dictionary-learning-2112.01790</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ssdl-self-supervised-dictionary-learning-2112.01790"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ssdl-self-supervised-dictionary-learning-2112.01790"/></url>
<url><loc>https://scifaro.com/en/abs/the-uninas-framework-combining-modules-in-arbitrarily-complex-configurations-with-argument-trees-2112.01796</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-uninas-framework-combining-modules-in-arbitrarily-complex-configurations-with-argument-trees-2112.01796"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-uninas-framework-combining-modules-in-arbitrarily-complex-configurations-with-argument-trees-2112.01796"/></url>
<url><loc>https://scifaro.com/en/abs/table2vec-automated-universal-representation-learning-to-encode-all-round-data-dna-for-benchmarkable-and-explainable-enterprise-data-science-2112.01830</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/table2vec-automated-universal-representation-learning-to-encode-all-round-data-dna-for-benchmarkable-and-explainable-enterprise-data-science-2112.01830"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/table2vec-automated-universal-representation-learning-to-encode-all-round-data-dna-for-benchmarkable-and-explainable-enterprise-data-science-2112.01830"/></url>
<url><loc>https://scifaro.com/en/abs/episodic-policy-gradient-training-2112.01853</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/episodic-policy-gradient-training-2112.01853"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/episodic-policy-gradient-training-2112.01853"/></url>
<url><loc>https://scifaro.com/en/abs/discovery-of-crime-event-sequences-with-constricted-spatio-temporal-sequential-patterns-2112.01863</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/discovery-of-crime-event-sequences-with-constricted-spatio-temporal-sequential-patterns-2112.01863"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/discovery-of-crime-event-sequences-with-constricted-spatio-temporal-sequential-patterns-2112.01863"/></url>
<url><loc>https://scifaro.com/en/abs/a-flexible-hls-hoeffding-tree-implementation-for-runtime-learning-on-fpga-2112.01875</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-flexible-hls-hoeffding-tree-implementation-for-runtime-learning-on-fpga-2112.01875"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-flexible-hls-hoeffding-tree-implementation-for-runtime-learning-on-fpga-2112.01875"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-based-automatic-berthing-system-2112.01879</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-based-automatic-berthing-system-2112.01879"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-based-automatic-berthing-system-2112.01879"/></url>
<url><loc>https://scifaro.com/en/abs/estimating-the-value-at-risk-by-temporal-vae-2112.01896</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/estimating-the-value-at-risk-by-temporal-vae-2112.01896"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/estimating-the-value-at-risk-by-temporal-vae-2112.01896"/></url>
<url><loc>https://scifaro.com/en/abs/linear-algebra-with-transformers-2112.01898</loc><lastmod>2022-11-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/linear-algebra-with-transformers-2112.01898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/linear-algebra-with-transformers-2112.01898"/></url>
<url><loc>https://scifaro.com/en/abs/hybrid-digital-twin-for-process-industry-using-apros-simulation-environment-2112.01903</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hybrid-digital-twin-for-process-industry-using-apros-simulation-environment-2112.01903"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hybrid-digital-twin-for-process-industry-using-apros-simulation-environment-2112.01903"/></url>
<url><loc>https://scifaro.com/en/abs/prediction-of-household-level-heat-consumption-using-pso-enhanced-svr-model-2112.01908</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prediction-of-household-level-heat-consumption-using-pso-enhanced-svr-model-2112.01908"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prediction-of-household-level-heat-consumption-using-pso-enhanced-svr-model-2112.01908"/></url>
<url><loc>https://scifaro.com/en/abs/a-structured-dictionary-perspective-on-implicit-neural-representations-2112.01917</loc><lastmod>2022-03-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-structured-dictionary-perspective-on-implicit-neural-representations-2112.01917"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-structured-dictionary-perspective-on-implicit-neural-representations-2112.01917"/></url>
<url><loc>https://scifaro.com/en/abs/in-situ-process-quality-monitoring-and-defect-detection-for-direct-metal-laser-melting-2112.01921</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-situ-process-quality-monitoring-and-defect-detection-for-direct-metal-laser-melting-2112.01921"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-situ-process-quality-monitoring-and-defect-detection-for-direct-metal-laser-melting-2112.01921"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-networks-for-synthetic-data-generation-a-comparative-study-2112.01925</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-synthetic-data-generation-a-comparative-study-2112.01925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-synthetic-data-generation-a-comparative-study-2112.01925"/></url>
<url><loc>https://scifaro.com/en/abs/fast-projected-newton-like-method-for-precision-matrix-estimation-under-total-positivity-2112.01939</loc><lastmod>2023-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-projected-newton-like-method-for-precision-matrix-estimation-under-total-positivity-2112.01939"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-projected-newton-like-method-for-precision-matrix-estimation-under-total-positivity-2112.01939"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-neuron-coverage-for-dnn-testing-a-layer-wise-and-distribution-aware-criterion-2112.01955</loc><lastmod>2022-12-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-neuron-coverage-for-dnn-testing-a-layer-wise-and-distribution-aware-criterion-2112.01955"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-neuron-coverage-for-dnn-testing-a-layer-wise-and-distribution-aware-criterion-2112.01955"/></url>
<url><loc>https://scifaro.com/en/abs/provably-valid-and-diverse-mutations-of-real-world-media-data-for-dnn-testing-2112.01956</loc><lastmod>2023-10-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/provably-valid-and-diverse-mutations-of-real-world-media-data-for-dnn-testing-2112.01956"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/provably-valid-and-diverse-mutations-of-real-world-media-data-for-dnn-testing-2112.01956"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-machine-learning-in-understanding-plant-virus-pathogenesis-trends-and-perspectives-on-emergence-diagnosis-host-virus-interplay-and-management-2112.01998</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-machine-learning-in-understanding-plant-virus-pathogenesis-trends-and-perspectives-on-emergence-diagnosis-host-virus-interplay-and-management-2112.01998"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-machine-learning-in-understanding-plant-virus-pathogenesis-trends-and-perspectives-on-emergence-diagnosis-host-virus-interplay-and-management-2112.01998"/></url>
<url><loc>https://scifaro.com/en/abs/a-survey-on-concept-drift-in-process-mining-2112.02000</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-survey-on-concept-drift-in-process-mining-2112.02000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-survey-on-concept-drift-in-process-mining-2112.02000"/></url>
<url><loc>https://scifaro.com/en/abs/practitioner-centric-approach-for-early-incident-detection-using-crowdsourced-data-for-emergency-services-2112.02012</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/practitioner-centric-approach-for-early-incident-detection-using-crowdsourced-data-for-emergency-services-2112.02012"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/practitioner-centric-approach-for-early-incident-detection-using-crowdsourced-data-for-emergency-services-2112.02012"/></url>
<url><loc>https://scifaro.com/en/abs/tc-gnn-bridging-sparse-gnn-computation-and-dense-tensor-cores-on-gpus-2112.02052</loc><lastmod>2023-06-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tc-gnn-bridging-sparse-gnn-computation-and-dense-tensor-cores-on-gpus-2112.02052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tc-gnn-bridging-sparse-gnn-computation-and-dense-tensor-cores-on-gpus-2112.02052"/></url>
<url><loc>https://scifaro.com/en/abs/i-wknn-fast-speed-and-high-accuracy-wifi-positioning-for-intelligent-stadiums-2112.02058</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/i-wknn-fast-speed-and-high-accuracy-wifi-positioning-for-intelligent-stadiums-2112.02058"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/i-wknn-fast-speed-and-high-accuracy-wifi-positioning-for-intelligent-stadiums-2112.02058"/></url>
<url><loc>https://scifaro.com/en/abs/improving-the-reliability-of-network-intrusion-detection-systems-through-dataset-integration-2112.02080</loc><lastmod>2022-08-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/improving-the-reliability-of-network-intrusion-detection-systems-through-dataset-integration-2112.02080"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/improving-the-reliability-of-network-intrusion-detection-systems-through-dataset-integration-2112.02080"/></url>
<url><loc>https://scifaro.com/en/abs/data-free-neural-architecture-search-via-recursive-label-calibration-2112.02086</loc><lastmod>2022-07-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/data-free-neural-architecture-search-via-recursive-label-calibration-2112.02086"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/data-free-neural-architecture-search-via-recursive-label-calibration-2112.02086"/></url>
<url><loc>https://scifaro.com/en/abs/causal-based-time-series-domain-generalization-for-vehicle-intention-prediction-2112.02093</loc><lastmod>2021-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-based-time-series-domain-generalization-for-vehicle-intention-prediction-2112.02093"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-based-time-series-domain-generalization-for-vehicle-intention-prediction-2112.02093"/></url>
<url><loc>https://scifaro.com/en/abs/distributed-adaptive-learning-under-communication-constraints-2112.02129</loc><lastmod>2025-04-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distributed-adaptive-learning-under-communication-constraints-2112.02129"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distributed-adaptive-learning-under-communication-constraints-2112.02129"/></url>
<url><loc>https://scifaro.com/en/abs/combining-embeddings-and-fuzzy-time-series-for-high-dimensional-time-series-forecasting-in-internet-of-energy-applications-2112.02140</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-embeddings-and-fuzzy-time-series-for-high-dimensional-time-series-forecasting-in-internet-of-energy-applications-2112.02140"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-embeddings-and-fuzzy-time-series-for-high-dimensional-time-series-forecasting-in-internet-of-energy-applications-2112.02140"/></url>
<url><loc>https://scifaro.com/en/abs/on-submodular-contextual-bandits-2112.02165</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-submodular-contextual-bandits-2112.02165"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-submodular-contextual-bandits-2112.02165"/></url>
<url><loc>https://scifaro.com/en/abs/counterfactual-fairness-in-mortgage-lending-via-matching-and-randomization-2112.02170</loc><lastmod>2022-01-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/counterfactual-fairness-in-mortgage-lending-via-matching-and-randomization-2112.02170"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/counterfactual-fairness-in-mortgage-lending-via-matching-and-randomization-2112.02170"/></url>
<url><loc>https://scifaro.com/en/abs/neural-pseudo-label-optimism-for-the-bank-loan-problem-2112.02185</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/neural-pseudo-label-optimism-for-the-bank-loan-problem-2112.02185"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/neural-pseudo-label-optimism-for-the-bank-loan-problem-2112.02185"/></url>
<url><loc>https://scifaro.com/en/abs/nn-lut-neural-approximation-of-non-linear-operations-for-efficient-transformer-inference-2112.02191</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nn-lut-neural-approximation-of-non-linear-operations-for-efficient-transformer-inference-2112.02191"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nn-lut-neural-approximation-of-non-linear-operations-for-efficient-transformer-inference-2112.02191"/></url>
<url><loc>https://scifaro.com/en/abs/alx-large-scale-matrix-factorization-on-tpus-2112.02194</loc><lastmod>2022-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/alx-large-scale-matrix-factorization-on-tpus-2112.02194"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/alx-large-scale-matrix-factorization-on-tpus-2112.02194"/></url>
<url><loc>https://scifaro.com/en/abs/deep-policy-iteration-with-integer-programming-for-inventory-management-2112.02215</loc><lastmod>2025-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-policy-iteration-with-integer-programming-for-inventory-management-2112.02215"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-policy-iteration-with-integer-programming-for-inventory-management-2112.02215"/></url>
<url><loc>https://scifaro.com/en/abs/towards-the-one-learning-algorithm-hypothesis-a-system-theoretic-approach-2112.02256</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-the-one-learning-algorithm-hypothesis-a-system-theoretic-approach-2112.02256"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-the-one-learning-algorithm-hypothesis-a-system-theoretic-approach-2112.02256"/></url>
<url><loc>https://scifaro.com/en/abs/stjla-a-multi-context-aware-spatio-temporal-joint-linear-attention-network-for-traffic-forecasting-2112.02262</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stjla-a-multi-context-aware-spatio-temporal-joint-linear-attention-network-for-traffic-forecasting-2112.02262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stjla-a-multi-context-aware-spatio-temporal-joint-linear-attention-network-for-traffic-forecasting-2112.02262"/></url>
<url><loc>https://scifaro.com/en/abs/dmgcrn-dynamic-multi-graph-convolution-recurrent-network-for-traffic-forecasting-2112.02264</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dmgcrn-dynamic-multi-graph-convolution-recurrent-network-for-traffic-forecasting-2112.02264"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dmgcrn-dynamic-multi-graph-convolution-recurrent-network-for-traffic-forecasting-2112.02264"/></url>
<url><loc>https://scifaro.com/en/abs/benchml-an-extensible-pipelining-framework-for-benchmarking-representations-of-materials-and-molecules-at-scale-2112.02287</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchml-an-extensible-pipelining-framework-for-benchmarking-representations-of-materials-and-molecules-at-scale-2112.02287"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchml-an-extensible-pipelining-framework-for-benchmarking-representations-of-materials-and-molecules-at-scale-2112.02287"/></url>
<url><loc>https://scifaro.com/en/abs/kdctime-knowledge-distillation-with-calibration-on-inceptiontime-for-time-series-classification-2112.02291</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/kdctime-knowledge-distillation-with-calibration-on-inceptiontime-for-time-series-classification-2112.02291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/kdctime-knowledge-distillation-with-calibration-on-inceptiontime-for-time-series-classification-2112.02291"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-label-thresholding-methods-for-online-multi-label-classification-2112.02301</loc><lastmod>2022-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-label-thresholding-methods-for-online-multi-label-classification-2112.02301"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-label-thresholding-methods-for-online-multi-label-classification-2112.02301"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-pressure-improving-efficiency-for-signalized-intersections-2112.02336</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-pressure-improving-efficiency-for-signalized-intersections-2112.02336"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-pressure-improving-efficiency-for-signalized-intersections-2112.02336"/></url>
<url><loc>https://scifaro.com/en/abs/overcome-anterograde-forgetting-with-cycled-memory-networks-2112.02342</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/overcome-anterograde-forgetting-with-cycled-memory-networks-2112.02342"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/overcome-anterograde-forgetting-with-cycled-memory-networks-2112.02342"/></url>
<url><loc>https://scifaro.com/en/abs/logic-shrinkage-learned-fpga-netlist-sparsity-for-efficient-neural-network-inference-2112.02346</loc><lastmod>2022-01-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/logic-shrinkage-learned-fpga-netlist-sparsity-for-efficient-neural-network-inference-2112.02346"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/logic-shrinkage-learned-fpga-netlist-sparsity-for-efficient-neural-network-inference-2112.02346"/></url>
<url><loc>https://scifaro.com/en/abs/transboost-a-boosting-tree-kernel-transfer-learning-algorithm-for-improving-financial-inclusion-2112.02365</loc><lastmod>2021-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transboost-a-boosting-tree-kernel-transfer-learning-algorithm-for-improving-financial-inclusion-2112.02365"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transboost-a-boosting-tree-kernel-transfer-learning-algorithm-for-improving-financial-inclusion-2112.02365"/></url>
<url><loc>https://scifaro.com/en/abs/optimization-based-separations-for-neural-networks-2112.02393</loc><lastmod>2023-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/optimization-based-separations-for-neural-networks-2112.02393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/optimization-based-separations-for-neural-networks-2112.02393"/></url>
<url><loc>https://scifaro.com/en/abs/understanding-dynamic-spatio-temporal-contexts-in-long-short-term-memory-for-road-traffic-speed-prediction-2112.02409</loc><lastmod>2023-06-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/understanding-dynamic-spatio-temporal-contexts-in-long-short-term-memory-for-road-traffic-speed-prediction-2112.02409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/understanding-dynamic-spatio-temporal-contexts-in-long-short-term-memory-for-road-traffic-speed-prediction-2112.02409"/></url>
<url><loc>https://scifaro.com/en/abs/variational-wasserstein-gradient-flow-2112.02424</loc><lastmod>2022-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-wasserstein-gradient-flow-2112.02424"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-wasserstein-gradient-flow-2112.02424"/></url>
<url><loc>https://scifaro.com/en/abs/fast-graph-neural-tangent-kernel-via-kronecker-sketching-2112.02446</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fast-graph-neural-tangent-kernel-via-kronecker-sketching-2112.02446"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fast-graph-neural-tangent-kernel-via-kronecker-sketching-2112.02446"/></url>
<url><loc>https://scifaro.com/en/abs/anomaly-detection-of-wind-turbine-time-series-using-variational-recurrent-autoencoders-2112.02468</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anomaly-detection-of-wind-turbine-time-series-using-variational-recurrent-autoencoders-2112.02468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anomaly-detection-of-wind-turbine-time-series-using-variational-recurrent-autoencoders-2112.02468"/></url>
<url><loc>https://scifaro.com/en/abs/augmentation-free-self-supervised-learning-on-graphs-2112.02472</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augmentation-free-self-supervised-learning-on-graphs-2112.02472"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augmentation-free-self-supervised-learning-on-graphs-2112.02472"/></url>
<url><loc>https://scifaro.com/en/abs/exploring-complicated-search-spaces-with-interleaving-free-sampling-2112.02488</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/exploring-complicated-search-spaces-with-interleaving-free-sampling-2112.02488"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/exploring-complicated-search-spaces-with-interleaving-free-sampling-2112.02488"/></url>
<url><loc>https://scifaro.com/en/abs/radial-basis-function-approximation-with-distributively-stored-data-on-spheres-2112.02499</loc><lastmod>2022-11-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/radial-basis-function-approximation-with-distributively-stored-data-on-spheres-2112.02499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/radial-basis-function-approximation-with-distributively-stored-data-on-spheres-2112.02499"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-sequential-coreset-method-for-gradient-descent-algorithms-2112.02504</loc><lastmod>2022-10-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-sequential-coreset-method-for-gradient-descent-algorithms-2112.02504"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-sequential-coreset-method-for-gradient-descent-algorithms-2112.02504"/></url>
<url><loc>https://scifaro.com/en/abs/inf-cp-a-reliable-channel-pruning-based-on-channel-influence-2112.02521</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/inf-cp-a-reliable-channel-pruning-based-on-channel-influence-2112.02521"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/inf-cp-a-reliable-channel-pruning-based-on-channel-influence-2112.02521"/></url>
<url><loc>https://scifaro.com/en/abs/trivial-bundle-embeddings-for-learning-graph-representations-2112.02531</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/trivial-bundle-embeddings-for-learning-graph-representations-2112.02531"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/trivial-bundle-embeddings-for-learning-graph-representations-2112.02531"/></url>
<url><loc>https://scifaro.com/en/abs/robust-active-learning-sample-efficient-training-of-robust-deep-learning-models-2112.02542</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robust-active-learning-sample-efficient-training-of-robust-deep-learning-models-2112.02542"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robust-active-learning-sample-efficient-training-of-robust-deep-learning-models-2112.02542"/></url>
<url><loc>https://scifaro.com/en/abs/joint-superposition-coding-and-training-for-federated-learning-over-multi-width-neural-networks-2112.02543</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/joint-superposition-coding-and-training-for-federated-learning-over-multi-width-neural-networks-2112.02543"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/joint-superposition-coding-and-training-for-federated-learning-over-multi-width-neural-networks-2112.02543"/></url>
<url><loc>https://scifaro.com/en/abs/smart-iot-biofloc-water-management-system-using-decision-regression-tree-2112.02577</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smart-iot-biofloc-water-management-system-using-decision-regression-tree-2112.02577"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smart-iot-biofloc-water-management-system-using-decision-regression-tree-2112.02577"/></url>
<url><loc>https://scifaro.com/en/abs/real-time-informative-surgical-skill-assessment-with-gaussian-process-learning-2112.02598</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/real-time-informative-surgical-skill-assessment-with-gaussian-process-learning-2112.02598"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/real-time-informative-surgical-skill-assessment-with-gaussian-process-learning-2112.02598"/></url>
<url><loc>https://scifaro.com/en/abs/training-structured-neural-networks-through-manifold-identification-and-variance-reduction-2112.02612</loc><lastmod>2022-05-02</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/training-structured-neural-networks-through-manifold-identification-and-variance-reduction-2112.02612"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/training-structured-neural-networks-through-manifold-identification-and-variance-reduction-2112.02612"/></url>
<url><loc>https://scifaro.com/en/abs/probabilistic-deep-learning-to-quantify-uncertainty-in-air-quality-forecasting-2112.02622</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/probabilistic-deep-learning-to-quantify-uncertainty-in-air-quality-forecasting-2112.02622"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/probabilistic-deep-learning-to-quantify-uncertainty-in-air-quality-forecasting-2112.02622"/></url>
<url><loc>https://scifaro.com/en/abs/explainable-deep-learning-in-healthcare-a-methodological-survey-from-an-attribution-view-2112.02625</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/explainable-deep-learning-in-healthcare-a-methodological-survey-from-an-attribution-view-2112.02625"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/explainable-deep-learning-in-healthcare-a-methodological-survey-from-an-attribution-view-2112.02625"/></url>
<url><loc>https://scifaro.com/en/abs/ensemble-and-mixed-learning-techniques-for-credit-card-fraud-detection-2112.02627</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ensemble-and-mixed-learning-techniques-for-credit-card-fraud-detection-2112.02627"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ensemble-and-mixed-learning-techniques-for-credit-card-fraud-detection-2112.02627"/></url>
<url><loc>https://scifaro.com/en/abs/diverse-global-and-amortised-counterfactual-explanations-for-uncertainty-estimates-2112.02646</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diverse-global-and-amortised-counterfactual-explanations-for-uncertainty-estimates-2112.02646"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diverse-global-and-amortised-counterfactual-explanations-for-uncertainty-estimates-2112.02646"/></url>
<url><loc>https://scifaro.com/en/abs/intrinisic-gradient-compression-for-federated-learning-2112.02656</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intrinisic-gradient-compression-for-federated-learning-2112.02656"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intrinisic-gradient-compression-for-federated-learning-2112.02656"/></url>
<url><loc>https://scifaro.com/en/abs/using-convolutional-neural-networks-for-fault-analysis-and-alleviation-in-accelerator-systems-2112.02657</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/using-convolutional-neural-networks-for-fault-analysis-and-alleviation-in-accelerator-systems-2112.02657"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/using-convolutional-neural-networks-for-fault-analysis-and-alleviation-in-accelerator-systems-2112.02657"/></url>
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<url><loc>https://scifaro.com/en/abs/on-the-convergence-of-shallow-neural-network-training-with-randomly-masked-neurons-2112.02668</loc><lastmod>2022-08-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-convergence-of-shallow-neural-network-training-with-randomly-masked-neurons-2112.02668"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-convergence-of-shallow-neural-network-training-with-randomly-masked-neurons-2112.02668"/></url>
<url><loc>https://scifaro.com/en/abs/stochastic-local-winner-takes-all-networks-enable-profound-adversarial-robustness-2112.02671</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/stochastic-local-winner-takes-all-networks-enable-profound-adversarial-robustness-2112.02671"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/stochastic-local-winner-takes-all-networks-enable-profound-adversarial-robustness-2112.02671"/></url>
<url><loc>https://scifaro.com/en/abs/benchmark-for-out-of-distribution-detection-in-deep-reinforcement-learning-2112.02694</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/benchmark-for-out-of-distribution-detection-in-deep-reinforcement-learning-2112.02694"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/benchmark-for-out-of-distribution-detection-in-deep-reinforcement-learning-2112.02694"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-robustness-resilience-verification-of-tree-based-classifiers-2112.02705</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-robustness-resilience-verification-of-tree-based-classifiers-2112.02705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-robustness-resilience-verification-of-tree-based-classifiers-2112.02705"/></url>
<url><loc>https://scifaro.com/en/abs/detecting-defi-securities-violations-from-token-smart-contract-code-2112.02731</loc><lastmod>2023-05-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/detecting-defi-securities-violations-from-token-smart-contract-code-2112.02731"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/detecting-defi-securities-violations-from-token-smart-contract-code-2112.02731"/></url>
<url><loc>https://scifaro.com/en/abs/cdgnet-a-cross-time-dynamic-graph-based-deep-learning-model-for-traffic-forecasting-2112.02736</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cdgnet-a-cross-time-dynamic-graph-based-deep-learning-model-for-traffic-forecasting-2112.02736"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cdgnet-a-cross-time-dynamic-graph-based-deep-learning-model-for-traffic-forecasting-2112.02736"/></url>
<url><loc>https://scifaro.com/en/abs/spatio-temporal-meets-wavelet-disentangled-traffic-flow-forecasting-via-efficient-spectral-graph-attention-network-2112.02740</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spatio-temporal-meets-wavelet-disentangled-traffic-flow-forecasting-via-efficient-spectral-graph-attention-network-2112.02740"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spatio-temporal-meets-wavelet-disentangled-traffic-flow-forecasting-via-efficient-spectral-graph-attention-network-2112.02740"/></url>
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<url><loc>https://scifaro.com/en/abs/mdpgt-momentum-based-decentralized-policy-gradient-tracking-2112.02813</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mdpgt-momentum-based-decentralized-policy-gradient-tracking-2112.02813"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mdpgt-momentum-based-decentralized-policy-gradient-tracking-2112.02813"/></url>
<url><loc>https://scifaro.com/en/abs/ed2-environment-dynamics-decomposition-world-models-for-continuous-control-2112.02817</loc><lastmod>2024-02-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ed2-environment-dynamics-decomposition-world-models-for-continuous-control-2112.02817"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ed2-environment-dynamics-decomposition-world-models-for-continuous-control-2112.02817"/></url>
<url><loc>https://scifaro.com/en/abs/offline-pre-trained-multi-agent-decision-transformer-one-big-sequence-model-tackles-all-smac-tasks-2112.02845</loc><lastmod>2022-06-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/offline-pre-trained-multi-agent-decision-transformer-one-big-sequence-model-tackles-all-smac-tasks-2112.02845"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/offline-pre-trained-multi-agent-decision-transformer-one-big-sequence-model-tackles-all-smac-tasks-2112.02845"/></url>
<url><loc>https://scifaro.com/en/abs/target-entropy-annealing-for-discrete-soft-actor-critic-2112.02852</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/target-entropy-annealing-for-discrete-soft-actor-critic-2112.02852"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/target-entropy-annealing-for-discrete-soft-actor-critic-2112.02852"/></url>
<url><loc>https://scifaro.com/en/abs/doubly-optimal-no-regret-online-learning-in-strongly-monotone-games-with-bandit-feedback-2112.02856</loc><lastmod>2024-04-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/doubly-optimal-no-regret-online-learning-in-strongly-monotone-games-with-bandit-feedback-2112.02856"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/doubly-optimal-no-regret-online-learning-in-strongly-monotone-games-with-bandit-feedback-2112.02856"/></url>
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<url><loc>https://scifaro.com/en/abs/distance-and-hop-wise-structures-encoding-enhanced-graph-attention-networks-2112.02868</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distance-and-hop-wise-structures-encoding-enhanced-graph-attention-networks-2112.02868"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distance-and-hop-wise-structures-encoding-enhanced-graph-attention-networks-2112.02868"/></url>
<url><loc>https://scifaro.com/en/abs/a-marketplace-for-trading-ai-models-based-on-blockchain-and-incentives-for-iot-data-2112.02870</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-marketplace-for-trading-ai-models-based-on-blockchain-and-incentives-for-iot-data-2112.02870"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-marketplace-for-trading-ai-models-based-on-blockchain-and-incentives-for-iot-data-2112.02870"/></url>
<url><loc>https://scifaro.com/en/abs/adaste-an-adaptive-straight-through-estimator-to-train-binary-neural-networks-2112.02880</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaste-an-adaptive-straight-through-estimator-to-train-binary-neural-networks-2112.02880"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaste-an-adaptive-straight-through-estimator-to-train-binary-neural-networks-2112.02880"/></url>
<url><loc>https://scifaro.com/en/abs/parameter-efficient-deep-probabilistic-forecasting-2112.02905</loc><lastmod>2021-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/parameter-efficient-deep-probabilistic-forecasting-2112.02905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/parameter-efficient-deep-probabilistic-forecasting-2112.02905"/></url>
<url><loc>https://scifaro.com/en/abs/curriculum-meta-learning-for-few-shot-classification-2112.02913</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/curriculum-meta-learning-for-few-shot-classification-2112.02913"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/curriculum-meta-learning-for-few-shot-classification-2112.02913"/></url>
<url><loc>https://scifaro.com/en/abs/when-the-curious-abandon-honesty-federated-learning-is-not-private-2112.02918</loc><lastmod>2023-04-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/when-the-curious-abandon-honesty-federated-learning-is-not-private-2112.02918"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/when-the-curious-abandon-honesty-federated-learning-is-not-private-2112.02918"/></url>
<url><loc>https://scifaro.com/en/abs/is-class-incremental-enough-for-continual-learning-2112.02925</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/is-class-incremental-enough-for-continual-learning-2112.02925"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/is-class-incremental-enough-for-continual-learning-2112.02925"/></url>
<url><loc>https://scifaro.com/en/abs/pairwise-learning-for-neural-link-prediction-2112.02936</loc><lastmod>2022-01-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pairwise-learning-for-neural-link-prediction-2112.02936"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pairwise-learning-for-neural-link-prediction-2112.02936"/></url>
<url><loc>https://scifaro.com/en/abs/automap-towards-ergonomic-automated-parallelism-for-ml-models-2112.02958</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/automap-towards-ergonomic-automated-parallelism-for-ml-models-2112.02958"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/automap-towards-ergonomic-automated-parallelism-for-ml-models-2112.02958"/></url>
<url><loc>https://scifaro.com/en/abs/two-wrongs-don-t-make-a-right-combating-confirmation-bias-in-learning-with-label-noise-2112.02960</loc><lastmod>2023-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/two-wrongs-don-t-make-a-right-combating-confirmation-bias-in-learning-with-label-noise-2112.02960"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/two-wrongs-don-t-make-a-right-combating-confirmation-bias-in-learning-with-label-noise-2112.02960"/></url>
<url><loc>https://scifaro.com/en/abs/danets-deep-abstract-networks-for-tabular-data-classification-and-regression-2112.02962</loc><lastmod>2022-09-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/danets-deep-abstract-networks-for-tabular-data-classification-and-regression-2112.02962"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/danets-deep-abstract-networks-for-tabular-data-classification-and-regression-2112.02962"/></url>
<url><loc>https://scifaro.com/en/abs/keeping-it-simple-language-models-can-learn-complex-molecular-distributions-2112.03041</loc><lastmod>2023-05-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/keeping-it-simple-language-models-can-learn-complex-molecular-distributions-2112.03041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/keeping-it-simple-language-models-can-learn-complex-molecular-distributions-2112.03041"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-up-influence-functions-2112.03052</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-up-influence-functions-2112.03052"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-up-influence-functions-2112.03052"/></url>
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<url><loc>https://scifaro.com/en/abs/learning-generalized-causal-structure-in-time-series-2112.03085</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-generalized-causal-structure-in-time-series-2112.03085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-generalized-causal-structure-in-time-series-2112.03085"/></url>
<url><loc>https://scifaro.com/en/abs/transfer-learning-to-improve-streamflow-forecasts-in-data-sparse-regions-2112.03088</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transfer-learning-to-improve-streamflow-forecasts-in-data-sparse-regions-2112.03088"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transfer-learning-to-improve-streamflow-forecasts-in-data-sparse-regions-2112.03088"/></url>
<url><loc>https://scifaro.com/en/abs/flexible-option-learning-2112.03097</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/flexible-option-learning-2112.03097"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/flexible-option-learning-2112.03097"/></url>
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<url><loc>https://scifaro.com/en/abs/prototypical-model-with-novel-information-theoretic-loss-function-for-generalized-zero-shot-learning-2112.03134</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/prototypical-model-with-novel-information-theoretic-loss-function-for-generalized-zero-shot-learning-2112.03134"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/prototypical-model-with-novel-information-theoretic-loss-function-for-generalized-zero-shot-learning-2112.03134"/></url>
<url><loc>https://scifaro.com/en/abs/properties-of-minimizing-entropy-2112.03143</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/properties-of-minimizing-entropy-2112.03143"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/properties-of-minimizing-entropy-2112.03143"/></url>
<url><loc>https://scifaro.com/en/abs/distilled-domain-randomization-2112.03149</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/distilled-domain-randomization-2112.03149"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/distilled-domain-randomization-2112.03149"/></url>
<url><loc>https://scifaro.com/en/abs/intelligent-acoustic-module-for-autonomous-vehicles-using-fast-gated-recurrent-approach-2112.03174</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/intelligent-acoustic-module-for-autonomous-vehicles-using-fast-gated-recurrent-approach-2112.03174"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/intelligent-acoustic-module-for-autonomous-vehicles-using-fast-gated-recurrent-approach-2112.03174"/></url>
<url><loc>https://scifaro.com/en/abs/anchoring-to-exemplars-for-training-mixture-of-expert-cell-embeddings-2112.03208</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/anchoring-to-exemplars-for-training-mixture-of-expert-cell-embeddings-2112.03208"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/anchoring-to-exemplars-for-training-mixture-of-expert-cell-embeddings-2112.03208"/></url>
<url><loc>https://scifaro.com/en/abs/contextual-bandit-applications-in-customer-support-bot-2112.03210</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/contextual-bandit-applications-in-customer-support-bot-2112.03210"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/contextual-bandit-applications-in-customer-support-bot-2112.03210"/></url>
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<url><loc>https://scifaro.com/en/abs/gam-changer-editing-generalized-additive-models-with-interactive-visualization-2112.03245</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gam-changer-editing-generalized-additive-models-with-interactive-visualization-2112.03245"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gam-changer-editing-generalized-additive-models-with-interactive-visualization-2112.03245"/></url>
<url><loc>https://scifaro.com/en/abs/functional-regularization-for-reinforcement-learning-via-learned-fourier-features-2112.03257</loc><lastmod>2021-12-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/functional-regularization-for-reinforcement-learning-via-learned-fourier-features-2112.03257"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/functional-regularization-for-reinforcement-learning-via-learned-fourier-features-2112.03257"/></url>
<url><loc>https://scifaro.com/en/abs/multi-scale-graph-convolutional-networks-with-self-attention-2112.03262</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-scale-graph-convolutional-networks-with-self-attention-2112.03262"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-scale-graph-convolutional-networks-with-self-attention-2112.03262"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-learning-intelligent-system-incorporating-data-augmentation-for-short-term-voltage-stability-assessment-of-power-systems-2112.03265</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-learning-intelligent-system-incorporating-data-augmentation-for-short-term-voltage-stability-assessment-of-power-systems-2112.03265"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-learning-intelligent-system-incorporating-data-augmentation-for-short-term-voltage-stability-assessment-of-power-systems-2112.03265"/></url>
<url><loc>https://scifaro.com/en/abs/communication-and-energy-efficient-slimmable-federated-learning-via-superposition-coding-and-successive-decoding-2112.03267</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/communication-and-energy-efficient-slimmable-federated-learning-via-superposition-coding-and-successive-decoding-2112.03267"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/communication-and-energy-efficient-slimmable-federated-learning-via-superposition-coding-and-successive-decoding-2112.03267"/></url>
<url><loc>https://scifaro.com/en/abs/synthetic-ecg-signal-generation-using-generative-neural-networks-2112.03268</loc><lastmod>2022-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthetic-ecg-signal-generation-using-generative-neural-networks-2112.03268"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthetic-ecg-signal-generation-using-generative-neural-networks-2112.03268"/></url>
<url><loc>https://scifaro.com/en/abs/toward-a-taxonomy-of-trust-for-probabilistic-machine-learning-2112.03270</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/toward-a-taxonomy-of-trust-for-probabilistic-machine-learning-2112.03270"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/toward-a-taxonomy-of-trust-for-probabilistic-machine-learning-2112.03270"/></url>
<url><loc>https://scifaro.com/en/abs/dynamic-graph-learning-neural-network-for-multivariate-time-series-modeling-2112.03273</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dynamic-graph-learning-neural-network-for-multivariate-time-series-modeling-2112.03273"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dynamic-graph-learning-neural-network-for-multivariate-time-series-modeling-2112.03273"/></url>
<url><loc>https://scifaro.com/en/abs/smart-metering-system-capable-of-anomaly-detection-by-bi-directional-lstm-autoencoder-2112.03275</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/smart-metering-system-capable-of-anomaly-detection-by-bi-directional-lstm-autoencoder-2112.03275"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/smart-metering-system-capable-of-anomaly-detection-by-bi-directional-lstm-autoencoder-2112.03275"/></url>
<url><loc>https://scifaro.com/en/abs/noether-networks-meta-learning-useful-conserved-quantities-2112.03321</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/noether-networks-meta-learning-useful-conserved-quantities-2112.03321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/noether-networks-meta-learning-useful-conserved-quantities-2112.03321"/></url>
<url><loc>https://scifaro.com/en/abs/cadence-a-practical-time-series-partitioning-algorithm-for-unlabeled-iot-sensor-streams-2112.03360</loc><lastmod>2022-08-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/cadence-a-practical-time-series-partitioning-algorithm-for-unlabeled-iot-sensor-streams-2112.03360"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/cadence-a-practical-time-series-partitioning-algorithm-for-unlabeled-iot-sensor-streams-2112.03360"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-geometric-deep-learning-on-molecular-graphs-2112.03364</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-geometric-deep-learning-on-molecular-graphs-2112.03364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-geometric-deep-learning-on-molecular-graphs-2112.03364"/></url>
<url><loc>https://scifaro.com/en/abs/graphical-models-with-attention-for-context-specific-independence-and-an-application-to-perceptual-grouping-2112.03371</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphical-models-with-attention-for-context-specific-independence-and-an-application-to-perceptual-grouping-2112.03371"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphical-models-with-attention-for-context-specific-independence-and-an-application-to-perceptual-grouping-2112.03371"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-guarantees-for-deep-epsilon-greedy-policy-learning-2112.03376</loc><lastmod>2022-01-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-guarantees-for-deep-epsilon-greedy-policy-learning-2112.03376"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-guarantees-for-deep-epsilon-greedy-policy-learning-2112.03376"/></url>
<url><loc>https://scifaro.com/en/abs/rafternet-probabilistic-predictions-in-multi-response-regression-2112.03377</loc><lastmod>2022-10-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rafternet-probabilistic-predictions-in-multi-response-regression-2112.03377"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rafternet-probabilistic-predictions-in-multi-response-regression-2112.03377"/></url>
<url><loc>https://scifaro.com/en/abs/differentiable-generalised-predictive-coding-2112.03378</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentiable-generalised-predictive-coding-2112.03378"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentiable-generalised-predictive-coding-2112.03378"/></url>
<url><loc>https://scifaro.com/en/abs/deep-efficient-continuous-manifold-learning-for-time-series-modeling-2112.03379</loc><lastmod>2023-10-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-efficient-continuous-manifold-learning-for-time-series-modeling-2112.03379"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-efficient-continuous-manifold-learning-for-time-series-modeling-2112.03379"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-networks-accelerated-molecular-dynamics-2112.03383</loc><lastmod>2022-04-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-networks-accelerated-molecular-dynamics-2112.03383"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-networks-accelerated-molecular-dynamics-2112.03383"/></url>
<url><loc>https://scifaro.com/en/abs/top-down-deep-clustering-with-multi-generator-gans-2112.03398</loc><lastmod>2021-12-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/top-down-deep-clustering-with-multi-generator-gans-2112.03398"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/top-down-deep-clustering-with-multi-generator-gans-2112.03398"/></url>
<url><loc>https://scifaro.com/en/abs/nested-hyperbolic-spaces-for-dimensionality-reduction-and-hyperbolic-nn-design-2112.03402</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/nested-hyperbolic-spaces-for-dimensionality-reduction-and-hyperbolic-nn-design-2112.03402"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/nested-hyperbolic-spaces-for-dimensionality-reduction-and-hyperbolic-nn-design-2112.03402"/></url>
<url><loc>https://scifaro.com/en/abs/learning-to-detect-critical-nodes-in-sparse-graphs-via-feature-importance-awareness-2112.03404</loc><lastmod>2024-05-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-to-detect-critical-nodes-in-sparse-graphs-via-feature-importance-awareness-2112.03404"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-to-detect-critical-nodes-in-sparse-graphs-via-feature-importance-awareness-2112.03404"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-deep-parallel-time-series-relation-network-for-fault-diagnosis-2112.03405</loc><lastmod>2022-08-25</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-deep-parallel-time-series-relation-network-for-fault-diagnosis-2112.03405"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-deep-parallel-time-series-relation-network-for-fault-diagnosis-2112.03405"/></url>
<url><loc>https://scifaro.com/en/abs/equal-bits-enforcing-equally-distributed-binary-network-weights-2112.03406</loc><lastmod>2022-03-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equal-bits-enforcing-equally-distributed-binary-network-weights-2112.03406"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equal-bits-enforcing-equally-distributed-binary-network-weights-2112.03406"/></url>
<url><loc>https://scifaro.com/en/abs/causal-analysis-and-classification-of-traffic-crash-injury-severity-using-machine-learning-algorithms-2112.03407</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/causal-analysis-and-classification-of-traffic-crash-injury-severity-using-machine-learning-algorithms-2112.03407"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/causal-analysis-and-classification-of-traffic-crash-injury-severity-using-machine-learning-algorithms-2112.03407"/></url>
<url><loc>https://scifaro.com/en/abs/extrapolation-frameworks-in-cognitive-psychology-suitable-for-study-of-image-classification-models-2112.03411</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extrapolation-frameworks-in-cognitive-psychology-suitable-for-study-of-image-classification-models-2112.03411"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extrapolation-frameworks-in-cognitive-psychology-suitable-for-study-of-image-classification-models-2112.03411"/></url>
<url><loc>https://scifaro.com/en/abs/virtual-replay-cache-2112.03421</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/virtual-replay-cache-2112.03421"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/virtual-replay-cache-2112.03421"/></url>
<url><loc>https://scifaro.com/en/abs/first-order-regret-in-reinforcement-learning-with-linear-function-approximation-a-robust-estimation-approach-2112.03432</loc><lastmod>2022-10-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/first-order-regret-in-reinforcement-learning-with-linear-function-approximation-a-robust-estimation-approach-2112.03432"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/first-order-regret-in-reinforcement-learning-with-linear-function-approximation-a-robust-estimation-approach-2112.03432"/></url>
<url><loc>https://scifaro.com/en/abs/a-unified-framework-for-multi-distribution-density-ratio-estimation-2112.03440</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-unified-framework-for-multi-distribution-density-ratio-estimation-2112.03440"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-unified-framework-for-multi-distribution-density-ratio-estimation-2112.03440"/></url>
<url><loc>https://scifaro.com/en/abs/location-leakage-in-federated-signal-maps-2112.03452</loc><lastmod>2024-01-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/location-leakage-in-federated-signal-maps-2112.03452"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/location-leakage-in-federated-signal-maps-2112.03452"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-convergence-analysis-for-algorithms-of-the-adam-family-2112.03459</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-convergence-analysis-for-algorithms-of-the-adam-family-2112.03459"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-convergence-analysis-for-algorithms-of-the-adam-family-2112.03459"/></url>
<url><loc>https://scifaro.com/en/abs/graphpas-parallel-architecture-search-for-graph-neural-networks-2112.03461</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graphpas-parallel-architecture-search-for-graph-neural-networks-2112.03461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graphpas-parallel-architecture-search-for-graph-neural-networks-2112.03461"/></url>
<url><loc>https://scifaro.com/en/abs/federated-deep-reinforcement-learning-for-the-distributed-control-of-nextg-wireless-networks-2112.03465</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/federated-deep-reinforcement-learning-for-the-distributed-control-of-nextg-wireless-networks-2112.03465"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/federated-deep-reinforcement-learning-for-the-distributed-control-of-nextg-wireless-networks-2112.03465"/></url>
<url><loc>https://scifaro.com/en/abs/spectral-complexity-scaled-generalization-bound-of-complex-valued-neural-networks-2112.03467</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/spectral-complexity-scaled-generalization-bound-of-complex-valued-neural-networks-2112.03467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/spectral-complexity-scaled-generalization-bound-of-complex-valued-neural-networks-2112.03467"/></url>
<url><loc>https://scifaro.com/en/abs/generative-adversarial-networks-for-labeled-acceleration-data-augmentation-for-structural-damage-detection-2112.03478</loc><lastmod>2022-09-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-labeled-acceleration-data-augmentation-for-structural-damage-detection-2112.03478"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generative-adversarial-networks-for-labeled-acceleration-data-augmentation-for-structural-damage-detection-2112.03478"/></url>
<url><loc>https://scifaro.com/en/abs/combining-learning-from-human-feedback-and-knowledge-engineering-to-solve-hierarchical-tasks-in-minecraft-2112.03482</loc><lastmod>2022-05-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/combining-learning-from-human-feedback-and-knowledge-engineering-to-solve-hierarchical-tasks-in-minecraft-2112.03482"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/combining-learning-from-human-feedback-and-knowledge-engineering-to-solve-hierarchical-tasks-in-minecraft-2112.03482"/></url>
<url><loc>https://scifaro.com/en/abs/enhanced-exploration-in-neural-feature-selection-for-deep-click-through-rate-prediction-models-via-ensemble-of-gating-layers-2112.03487</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhanced-exploration-in-neural-feature-selection-for-deep-click-through-rate-prediction-models-via-ensemble-of-gating-layers-2112.03487"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhanced-exploration-in-neural-feature-selection-for-deep-click-through-rate-prediction-models-via-ensemble-of-gating-layers-2112.03487"/></url>
<url><loc>https://scifaro.com/en/abs/a-piece-wise-polynomial-filtering-approach-for-graph-neural-networks-2112.03499</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-piece-wise-polynomial-filtering-approach-for-graph-neural-networks-2112.03499"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-piece-wise-polynomial-filtering-approach-for-graph-neural-networks-2112.03499"/></url>
<url><loc>https://scifaro.com/en/abs/a-generic-approach-for-enhancing-gans-by-regularized-latent-optimization-2112.03502</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-generic-approach-for-enhancing-gans-by-regularized-latent-optimization-2112.03502"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-generic-approach-for-enhancing-gans-by-regularized-latent-optimization-2112.03502"/></url>
<url><loc>https://scifaro.com/en/abs/predicting-the-travel-distance-of-patients-to-access-healthcare-using-deep-neural-networks-2112.03541</loc><lastmod>2022-06-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/predicting-the-travel-distance-of-patients-to-access-healthcare-using-deep-neural-networks-2112.03541"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/predicting-the-travel-distance-of-patients-to-access-healthcare-using-deep-neural-networks-2112.03541"/></url>
<url><loc>https://scifaro.com/en/abs/self-organized-polynomial-time-coordination-graphs-2112.03547</loc><lastmod>2022-09-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/self-organized-polynomial-time-coordination-graphs-2112.03547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/self-organized-polynomial-time-coordination-graphs-2112.03547"/></url>
<url><loc>https://scifaro.com/en/abs/feddag-federated-dag-structure-learning-2112.03555</loc><lastmod>2023-01-18</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/feddag-federated-dag-structure-learning-2112.03555"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/feddag-federated-dag-structure-learning-2112.03555"/></url>
<url><loc>https://scifaro.com/en/abs/graph-neural-controlled-differential-equations-for-traffic-forecasting-2112.03558</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/graph-neural-controlled-differential-equations-for-traffic-forecasting-2112.03558"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/graph-neural-controlled-differential-equations-for-traffic-forecasting-2112.03558"/></url>
<url><loc>https://scifaro.com/en/abs/more-layers-end-to-end-regression-and-uncertainty-on-tabular-data-with-deep-learning-2112.03566</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/more-layers-end-to-end-regression-and-uncertainty-on-tabular-data-with-deep-learning-2112.03566"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/more-layers-end-to-end-regression-and-uncertainty-on-tabular-data-with-deep-learning-2112.03566"/></url>
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<url><loc>https://scifaro.com/en/abs/mesa-offline-meta-rl-for-safe-adaptation-and-fault-tolerance-2112.03575</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mesa-offline-meta-rl-for-safe-adaptation-and-fault-tolerance-2112.03575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mesa-offline-meta-rl-for-safe-adaptation-and-fault-tolerance-2112.03575"/></url>
<url><loc>https://scifaro.com/en/abs/a-deep-language-model-to-predict-metabolic-network-equilibria-2112.03588</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-deep-language-model-to-predict-metabolic-network-equilibria-2112.03588"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-deep-language-model-to-predict-metabolic-network-equilibria-2112.03588"/></url>
<url><loc>https://scifaro.com/en/abs/state-of-the-art-predictive-and-prescriptive-analytics-for-ieee-cis-3rd-technical-challenge-2112.03595</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/state-of-the-art-predictive-and-prescriptive-analytics-for-ieee-cis-3rd-technical-challenge-2112.03595"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/state-of-the-art-predictive-and-prescriptive-analytics-for-ieee-cis-3rd-technical-challenge-2112.03595"/></url>
<url><loc>https://scifaro.com/en/abs/decision-focused-learning-through-the-lens-of-learning-to-rank-2112.03609</loc><lastmod>2022-06-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/decision-focused-learning-through-the-lens-of-learning-to-rank-2112.03609"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/decision-focused-learning-through-the-lens-of-learning-to-rank-2112.03609"/></url>
<url><loc>https://scifaro.com/en/abs/permutation-equivariant-generative-adversarial-networks-for-graphs-2112.03621</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/permutation-equivariant-generative-adversarial-networks-for-graphs-2112.03621"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/permutation-equivariant-generative-adversarial-networks-for-graphs-2112.03621"/></url>
<url><loc>https://scifaro.com/en/abs/godot-reinforcement-learning-agents-2112.03636</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/godot-reinforcement-learning-agents-2112.03636"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/godot-reinforcement-learning-agents-2112.03636"/></url>
<url><loc>https://scifaro.com/en/abs/scaling-structured-inference-with-randomization-2112.03638</loc><lastmod>2022-07-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scaling-structured-inference-with-randomization-2112.03638"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scaling-structured-inference-with-randomization-2112.03638"/></url>
<url><loc>https://scifaro.com/en/abs/ccasgnn-collaborative-cascade-prediction-based-on-graph-neural-networks-2112.03644</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ccasgnn-collaborative-cascade-prediction-based-on-graph-neural-networks-2112.03644"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ccasgnn-collaborative-cascade-prediction-based-on-graph-neural-networks-2112.03644"/></url>
<url><loc>https://scifaro.com/en/abs/place-dropout-a-progressive-layer-wise-and-channel-wise-dropout-for-domain-generalization-2112.03676</loc><lastmod>2023-09-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/place-dropout-a-progressive-layer-wise-and-channel-wise-dropout-for-domain-generalization-2112.03676"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/place-dropout-a-progressive-layer-wise-and-channel-wise-dropout-for-domain-generalization-2112.03676"/></url>
<url><loc>https://scifaro.com/en/abs/construction-de-variables-a-l-aide-de-classifieurs-comme-aide-a-la-regression-2112.03703</loc><lastmod>2022-09-05</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/construction-de-variables-a-l-aide-de-classifieurs-comme-aide-a-la-regression-2112.03703"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/construction-de-variables-a-l-aide-de-classifieurs-comme-aide-a-la-regression-2112.03703"/></url>
<url><loc>https://scifaro.com/en/abs/correlation-based-feature-subset-selection-for-multivariate-time-series-data-2112.03705</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/correlation-based-feature-subset-selection-for-multivariate-time-series-data-2112.03705"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/correlation-based-feature-subset-selection-for-multivariate-time-series-data-2112.03705"/></url>
<url><loc>https://scifaro.com/en/abs/capsprom-a-capsule-network-for-promoter-prediction-2112.03710</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/capsprom-a-capsule-network-for-promoter-prediction-2112.03710"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/capsprom-a-capsule-network-for-promoter-prediction-2112.03710"/></url>
<url><loc>https://scifaro.com/en/abs/shrub-ensembles-for-online-classification-2112.03723</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shrub-ensembles-for-online-classification-2112.03723"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shrub-ensembles-for-online-classification-2112.03723"/></url>
<url><loc>https://scifaro.com/en/abs/a-coarse-space-acceleration-of-deep-ddm-2112.03732</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-coarse-space-acceleration-of-deep-ddm-2112.03732"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-coarse-space-acceleration-of-deep-ddm-2112.03732"/></url>
<url><loc>https://scifaro.com/en/abs/towards-modeling-and-resolving-singular-parameter-spaces-using-stratifolds-2112.03734</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-modeling-and-resolving-singular-parameter-spaces-using-stratifolds-2112.03734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-modeling-and-resolving-singular-parameter-spaces-using-stratifolds-2112.03734"/></url>
<url><loc>https://scifaro.com/en/abs/tell-me-why-explanations-support-learning-relational-and-causal-structure-2112.03753</loc><lastmod>2022-05-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/tell-me-why-explanations-support-learning-relational-and-causal-structure-2112.03753"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/tell-me-why-explanations-support-learning-relational-and-causal-structure-2112.03753"/></url>
<url><loc>https://scifaro.com/en/abs/a-continuous-time-stochastic-gradient-descent-method-for-continuous-data-2112.03754</loc><lastmod>2023-11-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-continuous-time-stochastic-gradient-descent-method-for-continuous-data-2112.03754"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-continuous-time-stochastic-gradient-descent-method-for-continuous-data-2112.03754"/></url>
<url><loc>https://scifaro.com/en/abs/creating-multimodal-interactive-agents-with-imitation-and-self-supervised-learning-2112.03763</loc><lastmod>2022-02-03</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/creating-multimodal-interactive-agents-with-imitation-and-self-supervised-learning-2112.03763"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/creating-multimodal-interactive-agents-with-imitation-and-self-supervised-learning-2112.03763"/></url>
<url><loc>https://scifaro.com/en/abs/in-flight-novelty-detection-with-convolutional-neural-networks-2112.03765</loc><lastmod>2024-08-20</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/in-flight-novelty-detection-with-convolutional-neural-networks-2112.03765"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/in-flight-novelty-detection-with-convolutional-neural-networks-2112.03765"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-effectiveness-of-mode-exploration-in-bayesian-model-averaging-for-neural-networks-2112.03773</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-effectiveness-of-mode-exploration-in-bayesian-model-averaging-for-neural-networks-2112.03773"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-effectiveness-of-mode-exploration-in-bayesian-model-averaging-for-neural-networks-2112.03773"/></url>
<url><loc>https://scifaro.com/en/abs/ptr-ppo-proximal-policy-optimization-with-prioritized-trajectory-replay-2112.03798</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ptr-ppo-proximal-policy-optimization-with-prioritized-trajectory-replay-2112.03798"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ptr-ppo-proximal-policy-optimization-with-prioritized-trajectory-replay-2112.03798"/></url>
<url><loc>https://scifaro.com/en/abs/ood-gnn-out-of-distribution-generalized-graph-neural-network-2112.03806</loc><lastmod>2021-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ood-gnn-out-of-distribution-generalized-graph-neural-network-2112.03806"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ood-gnn-out-of-distribution-generalized-graph-neural-network-2112.03806"/></url>
<url><loc>https://scifaro.com/en/abs/disentangled-counterfactual-recurrent-networks-for-treatment-effect-inference-over-time-2112.03811</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/disentangled-counterfactual-recurrent-networks-for-treatment-effect-inference-over-time-2112.03811"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/disentangled-counterfactual-recurrent-networks-for-treatment-effect-inference-over-time-2112.03811"/></url>
<url><loc>https://scifaro.com/en/abs/attention-based-model-and-deep-reinforcement-learning-for-distribution-of-event-processing-tasks-2112.03835</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/attention-based-model-and-deep-reinforcement-learning-for-distribution-of-event-processing-tasks-2112.03835"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/attention-based-model-and-deep-reinforcement-learning-for-distribution-of-event-processing-tasks-2112.03835"/></url>
<url><loc>https://scifaro.com/en/abs/augment-valuate-a-data-enhancement-pipeline-for-data-centric-ai-2112.03837</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/augment-valuate-a-data-enhancement-pipeline-for-data-centric-ai-2112.03837"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/augment-valuate-a-data-enhancement-pipeline-for-data-centric-ai-2112.03837"/></url>
<url><loc>https://scifaro.com/en/abs/universalizing-weak-supervision-2112.03865</loc><lastmod>2023-11-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/universalizing-weak-supervision-2112.03865"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/universalizing-weak-supervision-2112.03865"/></url>
<url><loc>https://scifaro.com/en/abs/towards-a-shared-rubric-for-dataset-annotation-2112.03867</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/towards-a-shared-rubric-for-dataset-annotation-2112.03867"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/towards-a-shared-rubric-for-dataset-annotation-2112.03867"/></url>
<url><loc>https://scifaro.com/en/abs/lattice-based-methods-surpass-sum-of-squares-in-clustering-2112.03898</loc><lastmod>2022-01-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lattice-based-methods-surpass-sum-of-squares-in-clustering-2112.03898"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lattice-based-methods-surpass-sum-of-squares-in-clustering-2112.03898"/></url>
<url><loc>https://scifaro.com/en/abs/information-is-power-intrinsic-control-via-information-capture-2112.03899</loc><lastmod>2021-12-08</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/information-is-power-intrinsic-control-via-information-capture-2112.03899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/information-is-power-intrinsic-control-via-information-capture-2112.03899"/></url>
<url><loc>https://scifaro.com/en/abs/rid-noise-towards-robust-inverse-design-under-noisy-environments-2112.03912</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/rid-noise-towards-robust-inverse-design-under-noisy-environments-2112.03912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/rid-noise-towards-robust-inverse-design-under-noisy-environments-2112.03912"/></url>
<url><loc>https://scifaro.com/en/abs/synthetic-acute-hypotension-and-sepsis-datasets-based-on-mimic-iii-and-published-as-part-of-the-health-gym-project-2112.03914</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/synthetic-acute-hypotension-and-sepsis-datasets-based-on-mimic-iii-and-published-as-part-of-the-health-gym-project-2112.03914"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/synthetic-acute-hypotension-and-sepsis-datasets-based-on-mimic-iii-and-published-as-part-of-the-health-gym-project-2112.03914"/></url>
<url><loc>https://scifaro.com/en/abs/learning-theory-can-sometimes-explain-generalisation-in-graph-neural-networks-2112.03968</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-theory-can-sometimes-explain-generalisation-in-graph-neural-networks-2112.03968"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-theory-can-sometimes-explain-generalisation-in-graph-neural-networks-2112.03968"/></url>
<url><loc>https://scifaro.com/en/abs/shrimp-sparser-random-feature-models-via-iterative-magnitude-pruning-2112.04002</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shrimp-sparser-random-feature-models-via-iterative-magnitude-pruning-2112.04002"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shrimp-sparser-random-feature-models-via-iterative-magnitude-pruning-2112.04002"/></url>
<url><loc>https://scifaro.com/en/abs/unsupervised-representation-learning-via-neural-activation-coding-2112.04014</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/unsupervised-representation-learning-via-neural-activation-coding-2112.04014"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/unsupervised-representation-learning-via-neural-activation-coding-2112.04014"/></url>
<url><loc>https://scifaro.com/en/abs/accelerating-understanding-of-scientific-experiments-with-end-to-end-symbolic-regression-2112.04023</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/accelerating-understanding-of-scientific-experiments-with-end-to-end-symbolic-regression-2112.04023"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/accelerating-understanding-of-scientific-experiments-with-end-to-end-symbolic-regression-2112.04023"/></url>
<url><loc>https://scifaro.com/en/abs/a-transferable-approach-for-partitioning-machine-learning-models-on-multi-chip-modules-2112.04041</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-transferable-approach-for-partitioning-machine-learning-models-on-multi-chip-modules-2112.04041"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-transferable-approach-for-partitioning-machine-learning-models-on-multi-chip-modules-2112.04041"/></url>
<url><loc>https://scifaro.com/en/abs/best-arm-identification-under-additive-transfer-bandits-2112.04083</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/best-arm-identification-under-additive-transfer-bandits-2112.04083"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/best-arm-identification-under-additive-transfer-bandits-2112.04083"/></url>
<url><loc>https://scifaro.com/en/abs/hyper-parameter-optimization-based-on-soft-actor-critic-and-hierarchical-mixture-regularization-2112.04084</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/hyper-parameter-optimization-based-on-soft-actor-critic-and-hierarchical-mixture-regularization-2112.04084"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/hyper-parameter-optimization-based-on-soft-actor-critic-and-hierarchical-mixture-regularization-2112.04084"/></url>
<url><loc>https://scifaro.com/en/abs/diffeomorphically-learning-stable-koopman-operators-2112.04085</loc><lastmod>2022-05-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/diffeomorphically-learning-stable-koopman-operators-2112.04085"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/diffeomorphically-learning-stable-koopman-operators-2112.04085"/></url>
<url><loc>https://scifaro.com/en/abs/the-effect-of-model-size-on-worst-group-generalization-2112.04094</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-effect-of-model-size-on-worst-group-generalization-2112.04094"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-effect-of-model-size-on-worst-group-generalization-2112.04094"/></url>
<url><loc>https://scifaro.com/en/abs/shinrl-a-library-for-evaluating-rl-algorithms-from-theoretical-and-practical-perspectives-2112.04123</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/shinrl-a-library-for-evaluating-rl-algorithms-from-theoretical-and-practical-perspectives-2112.04123"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/shinrl-a-library-for-evaluating-rl-algorithms-from-theoretical-and-practical-perspectives-2112.04123"/></url>
<url><loc>https://scifaro.com/en/abs/pareto-domain-adaptation-2112.04137</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pareto-domain-adaptation-2112.04137"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pareto-domain-adaptation-2112.04137"/></url>
<url><loc>https://scifaro.com/en/abs/model-value-inconsistency-as-a-signal-for-epistemic-uncertainty-2112.04153</loc><lastmod>2022-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-value-inconsistency-as-a-signal-for-epistemic-uncertainty-2112.04153"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-value-inconsistency-as-a-signal-for-epistemic-uncertainty-2112.04153"/></url>
<url><loc>https://scifaro.com/en/abs/learnable-faster-kernel-pca-for-nonlinear-fault-detection-deep-autoencoder-based-realization-2112.04193</loc><lastmod>2024-10-28</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learnable-faster-kernel-pca-for-nonlinear-fault-detection-deep-autoencoder-based-realization-2112.04193"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learnable-faster-kernel-pca-for-nonlinear-fault-detection-deep-autoencoder-based-realization-2112.04193"/></url>
<url><loc>https://scifaro.com/en/abs/a-fast-algorithm-for-pac-combinatorial-pure-exploration-2112.04197</loc><lastmod>2022-08-23</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fast-algorithm-for-pac-combinatorial-pure-exploration-2112.04197"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fast-algorithm-for-pac-combinatorial-pure-exploration-2112.04197"/></url>
<url><loc>https://scifaro.com/en/abs/convergence-results-for-q-learning-with-experience-replay-2112.04213</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/convergence-results-for-q-learning-with-experience-replay-2112.04213"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/convergence-results-for-q-learning-with-experience-replay-2112.04213"/></url>
<url><loc>https://scifaro.com/en/abs/specializing-versatile-skill-libraries-using-local-mixture-of-experts-2112.04216</loc><lastmod>2022-01-11</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/specializing-versatile-skill-libraries-using-local-mixture-of-experts-2112.04216"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/specializing-versatile-skill-libraries-using-local-mixture-of-experts-2112.04216"/></url>
<url><loc>https://scifaro.com/en/abs/replay-for-safety-2112.04229</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/replay-for-safety-2112.04229"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/replay-for-safety-2112.04229"/></url>
<url><loc>https://scifaro.com/en/abs/application-of-deep-reinforcement-learning-to-payment-fraud-2112.04236</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/application-of-deep-reinforcement-learning-to-payment-fraud-2112.04236"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/application-of-deep-reinforcement-learning-to-payment-fraud-2112.04236"/></url>
<url><loc>https://scifaro.com/en/abs/on-the-use-of-unrealistic-predictions-in-hundreds-of-papers-evaluating-graph-representations-2112.04274</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-the-use-of-unrealistic-predictions-in-hundreds-of-papers-evaluating-graph-representations-2112.04274"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-the-use-of-unrealistic-predictions-in-hundreds-of-papers-evaluating-graph-representations-2112.04274"/></url>
<url><loc>https://scifaro.com/en/abs/non-parametric-estimation-of-causal-populations-in-a-counterfactual-scenario-2112.04288</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/non-parametric-estimation-of-causal-populations-in-a-counterfactual-scenario-2112.04288"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/non-parametric-estimation-of-causal-populations-in-a-counterfactual-scenario-2112.04288"/></url>
<url><loc>https://scifaro.com/en/abs/fastsgd-a-fast-compressed-sgd-framework-for-distributed-machine-learning-2112.04291</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/fastsgd-a-fast-compressed-sgd-framework-for-distributed-machine-learning-2112.04291"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/fastsgd-a-fast-compressed-sgd-framework-for-distributed-machine-learning-2112.04291"/></url>
<url><loc>https://scifaro.com/en/abs/a-systematic-approach-to-random-data-augmentation-on-graph-neural-networks-2112.04314</loc><lastmod>2022-03-22</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-systematic-approach-to-random-data-augmentation-on-graph-neural-networks-2112.04314"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-systematic-approach-to-random-data-augmentation-on-graph-neural-networks-2112.04314"/></url>
<url><loc>https://scifaro.com/en/abs/deep-learning-and-mathematical-intuition-a-review-of-davies-et-al-2021-2112.04324</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-learning-and-mathematical-intuition-a-review-of-davies-et-al-2021-2112.04324"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-learning-and-mathematical-intuition-a-review-of-davies-et-al-2021-2112.04324"/></url>
<url><loc>https://scifaro.com/en/abs/generalization-error-bounds-for-iterative-recovery-algorithms-unfolded-as-neural-networks-2112.04364</loc><lastmod>2022-01-19</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/generalization-error-bounds-for-iterative-recovery-algorithms-unfolded-as-neural-networks-2112.04364"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/generalization-error-bounds-for-iterative-recovery-algorithms-unfolded-as-neural-networks-2112.04364"/></url>
<url><loc>https://scifaro.com/en/abs/enhancing-counterfactual-classification-via-self-training-2112.04461</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/enhancing-counterfactual-classification-via-self-training-2112.04461"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/enhancing-counterfactual-classification-via-self-training-2112.04461"/></url>
<url><loc>https://scifaro.com/en/abs/comps-continual-meta-policy-search-2112.04467</loc><lastmod>2021-12-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/comps-continual-meta-policy-search-2112.04467"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/comps-continual-meta-policy-search-2112.04467"/></url>
<url><loc>https://scifaro.com/en/abs/revisiting-contrastive-learning-through-the-lens-of-neighborhood-component-analysis-an-integrated-framework-2112.04468</loc><lastmod>2022-02-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/revisiting-contrastive-learning-through-the-lens-of-neighborhood-component-analysis-an-integrated-framework-2112.04468"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/revisiting-contrastive-learning-through-the-lens-of-neighborhood-component-analysis-an-integrated-framework-2112.04468"/></url>
<url><loc>https://scifaro.com/en/abs/daily-peak-electrical-load-forecasting-with-a-multi-resolution-approach-2112.04492</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/daily-peak-electrical-load-forecasting-with-a-multi-resolution-approach-2112.04492"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/daily-peak-electrical-load-forecasting-with-a-multi-resolution-approach-2112.04492"/></url>
<url><loc>https://scifaro.com/en/abs/deep-q-learning-market-makers-in-a-multi-agent-simulated-stock-market-2112.04494</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/deep-q-learning-market-makers-in-a-multi-agent-simulated-stock-market-2112.04494"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/deep-q-learning-market-makers-in-a-multi-agent-simulated-stock-market-2112.04494"/></url>
<url><loc>https://scifaro.com/en/abs/whose-ground-truth-accounting-for-individual-and-collective-identities-underlying-dataset-annotation-2112.04554</loc><lastmod>2024-03-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/whose-ground-truth-accounting-for-individual-and-collective-identities-underlying-dataset-annotation-2112.04554"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/whose-ground-truth-accounting-for-individual-and-collective-identities-underlying-dataset-annotation-2112.04554"/></url>
<url><loc>https://scifaro.com/en/abs/ambiguous-dynamic-treatment-regimes-a-reinforcement-learning-approach-2112.04571</loc><lastmod>2023-06-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ambiguous-dynamic-treatment-regimes-a-reinforcement-learning-approach-2112.04571"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ambiguous-dynamic-treatment-regimes-a-reinforcement-learning-approach-2112.04571"/></url>
<url><loc>https://scifaro.com/en/abs/merging-subject-matter-expertise-and-deep-convolutional-neural-network-for-state-based-online-machine-part-interaction-classification-2112.04572</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/merging-subject-matter-expertise-and-deep-convolutional-neural-network-for-state-based-online-machine-part-interaction-classification-2112.04572"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/merging-subject-matter-expertise-and-deep-convolutional-neural-network-for-state-based-online-machine-part-interaction-classification-2112.04572"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-kernel-graph-neural-network-2112.04575</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-kernel-graph-neural-network-2112.04575"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-kernel-graph-neural-network-2112.04575"/></url>
<url><loc>https://scifaro.com/en/abs/computing-divergences-between-discrete-decomposable-models-2112.04583</loc><lastmod>2023-10-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/computing-divergences-between-discrete-decomposable-models-2112.04583"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/computing-divergences-between-discrete-decomposable-models-2112.04583"/></url>
<url><loc>https://scifaro.com/en/abs/the-perils-of-being-unhinged-on-the-accuracy-of-classifiers-minimizing-a-noise-robust-convex-loss-2112.04590</loc><lastmod>2022-03-07</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-perils-of-being-unhinged-on-the-accuracy-of-classifiers-minimizing-a-noise-robust-convex-loss-2112.04590"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-perils-of-being-unhinged-on-the-accuracy-of-classifiers-minimizing-a-noise-robust-convex-loss-2112.04590"/></url>
<url><loc>https://scifaro.com/en/abs/variational-regularization-in-inverse-problems-and-machine-learning-2112.04591</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/variational-regularization-in-inverse-problems-and-machine-learning-2112.04591"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/variational-regularization-in-inverse-problems-and-machine-learning-2112.04591"/></url>
<url><loc>https://scifaro.com/en/abs/online-calibrated-and-conformal-prediction-improves-bayesian-optimization-2112.04620</loc><lastmod>2024-06-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/online-calibrated-and-conformal-prediction-improves-bayesian-optimization-2112.04620"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/online-calibrated-and-conformal-prediction-improves-bayesian-optimization-2112.04620"/></url>
<url><loc>https://scifaro.com/en/abs/transferability-properties-of-graph-neural-networks-2112.04629</loc><lastmod>2023-08-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/transferability-properties-of-graph-neural-networks-2112.04629"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/transferability-properties-of-graph-neural-networks-2112.04629"/></url>
<url><loc>https://scifaro.com/en/abs/differentially-private-ensemble-classifiers-for-data-streams-2112.04640</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/differentially-private-ensemble-classifiers-for-data-streams-2112.04640"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/differentially-private-ensemble-classifiers-for-data-streams-2112.04640"/></url>
<url><loc>https://scifaro.com/en/abs/autoregressive-quantile-flows-for-predictive-uncertainty-estimation-2112.04643</loc><lastmod>2023-02-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/autoregressive-quantile-flows-for-predictive-uncertainty-estimation-2112.04643"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/autoregressive-quantile-flows-for-predictive-uncertainty-estimation-2112.04643"/></url>
<url><loc>https://scifaro.com/en/abs/a-fully-single-loop-algorithm-for-bilevel-optimization-without-hessian-inverse-2112.04660</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-fully-single-loop-algorithm-for-bilevel-optimization-without-hessian-inverse-2112.04660"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-fully-single-loop-algorithm-for-bilevel-optimization-without-hessian-inverse-2112.04660"/></url>
<url><loc>https://scifaro.com/en/abs/clairvoyance-intelligent-route-planning-for-electric-buses-based-on-urban-big-data-2112.04682</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/clairvoyance-intelligent-route-planning-for-electric-buses-based-on-urban-big-data-2112.04682"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/clairvoyance-intelligent-route-planning-for-electric-buses-based-on-urban-big-data-2112.04682"/></url>
<url><loc>https://scifaro.com/en/abs/ymir-a-supervised-ensemble-framework-for-multivariate-time-series-anomaly-detection-2112.04704</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ymir-a-supervised-ensemble-framework-for-multivariate-time-series-anomaly-detection-2112.04704"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ymir-a-supervised-ensemble-framework-for-multivariate-time-series-anomaly-detection-2112.04704"/></url>
<url><loc>https://scifaro.com/en/abs/dr3-value-based-deep-reinforcement-learning-requires-explicit-regularization-2112.04716</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/dr3-value-based-deep-reinforcement-learning-requires-explicit-regularization-2112.04716"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/dr3-value-based-deep-reinforcement-learning-requires-explicit-regularization-2112.04716"/></url>
<url><loc>https://scifaro.com/en/abs/reducing-catastrophic-forgetting-in-self-organizing-maps-with-internally-induced-generative-replay-2112.04728</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reducing-catastrophic-forgetting-in-self-organizing-maps-with-internally-induced-generative-replay-2112.04728"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reducing-catastrophic-forgetting-in-self-organizing-maps-with-internally-induced-generative-replay-2112.04728"/></url>
<url><loc>https://scifaro.com/en/abs/new-tight-relaxations-of-rank-minimization-for-multi-task-learning-2112.04734</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/new-tight-relaxations-of-rank-minimization-for-multi-task-learning-2112.04734"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/new-tight-relaxations-of-rank-minimization-for-multi-task-learning-2112.04734"/></url>
<url><loc>https://scifaro.com/en/abs/from-good-to-best-two-stage-training-for-cross-lingual-machine-reading-comprehension-2112.04735</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/from-good-to-best-two-stage-training-for-cross-lingual-machine-reading-comprehension-2112.04735"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/from-good-to-best-two-stage-training-for-cross-lingual-machine-reading-comprehension-2112.04735"/></url>
<url><loc>https://scifaro.com/en/abs/does-redundancy-in-ai-perception-systems-help-to-test-for-super-human-automated-driving-performance-2112.04758</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/does-redundancy-in-ai-perception-systems-help-to-test-for-super-human-automated-driving-performance-2112.04758"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/does-redundancy-in-ai-perception-systems-help-to-test-for-super-human-automated-driving-performance-2112.04758"/></url>
<url><loc>https://scifaro.com/en/abs/adaptive-methods-for-aggregated-domain-generalization-2112.04766</loc><lastmod>2021-12-24</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/adaptive-methods-for-aggregated-domain-generalization-2112.04766"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/adaptive-methods-for-aggregated-domain-generalization-2112.04766"/></url>
<url><loc>https://scifaro.com/en/abs/vmagent-scheduling-simulator-for-reinforcement-learning-2112.04785</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/vmagent-scheduling-simulator-for-reinforcement-learning-2112.04785"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/vmagent-scheduling-simulator-for-reinforcement-learning-2112.04785"/></url>
<url><loc>https://scifaro.com/en/abs/effective-dimension-of-machine-learning-models-2112.04807</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/effective-dimension-of-machine-learning-models-2112.04807"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/effective-dimension-of-machine-learning-models-2112.04807"/></url>
<url><loc>https://scifaro.com/en/abs/siamese-attribute-missing-graph-auto-encoder-2112.04842</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/siamese-attribute-missing-graph-auto-encoder-2112.04842"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/siamese-attribute-missing-graph-auto-encoder-2112.04842"/></url>
<url><loc>https://scifaro.com/en/abs/a-new-measure-of-model-redundancy-for-compressed-convolutional-neural-networks-2112.04857</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-new-measure-of-model-redundancy-for-compressed-convolutional-neural-networks-2112.04857"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-new-measure-of-model-redundancy-for-compressed-convolutional-neural-networks-2112.04857"/></url>
<url><loc>https://scifaro.com/en/abs/multi-task-learning-on-networks-2112.04891</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/multi-task-learning-on-networks-2112.04891"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/multi-task-learning-on-networks-2112.04891"/></url>
<url><loc>https://scifaro.com/en/abs/latent-space-explanation-by-intervention-2112.04895</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/latent-space-explanation-by-intervention-2112.04895"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/latent-space-explanation-by-intervention-2112.04895"/></url>
<url><loc>https://scifaro.com/en/abs/assessing-fairness-in-the-presence-of-missing-data-2112.04899</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/assessing-fairness-in-the-presence-of-missing-data-2112.04899"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/assessing-fairness-in-the-presence-of-missing-data-2112.04899"/></url>
<url><loc>https://scifaro.com/en/abs/learning-personal-representations-from-fmriby-predicting-neurofeedback-performance-2112.04902</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-personal-representations-from-fmriby-predicting-neurofeedback-performance-2112.04902"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-personal-representations-from-fmriby-predicting-neurofeedback-performance-2112.04902"/></url>
<url><loc>https://scifaro.com/en/abs/i-spasp-structured-neural-pruning-via-sparse-signal-recovery-2112.04905</loc><lastmod>2022-03-31</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/i-spasp-structured-neural-pruning-via-sparse-signal-recovery-2112.04905"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/i-spasp-structured-neural-pruning-via-sparse-signal-recovery-2112.04905"/></url>
<url><loc>https://scifaro.com/en/abs/juewu-mc-playing-minecraft-with-sample-efficient-hierarchical-reinforcement-learning-2112.04907</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/juewu-mc-playing-minecraft-with-sample-efficient-hierarchical-reinforcement-learning-2112.04907"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/juewu-mc-playing-minecraft-with-sample-efficient-hierarchical-reinforcement-learning-2112.04907"/></url>
<url><loc>https://scifaro.com/en/abs/scalable-and-decentralized-algorithms-for-anomaly-detection-via-learning-based-controlled-sensing-2112.04912</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/scalable-and-decentralized-algorithms-for-anomaly-detection-via-learning-based-controlled-sensing-2112.04912"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/scalable-and-decentralized-algorithms-for-anomaly-detection-via-learning-based-controlled-sensing-2112.04912"/></url>
<url><loc>https://scifaro.com/en/abs/guardian-of-the-ensembles-introducing-pairwise-adversarially-robust-loss-for-resisting-adversarial-attacks-in-dnn-ensembles-2112.04948</loc><lastmod>2024-12-04</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/guardian-of-the-ensembles-introducing-pairwise-adversarially-robust-loss-for-resisting-adversarial-attacks-in-dnn-ensembles-2112.04948"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/guardian-of-the-ensembles-introducing-pairwise-adversarially-robust-loss-for-resisting-adversarial-attacks-in-dnn-ensembles-2112.04948"/></url>
<url><loc>https://scifaro.com/en/abs/model-agnostic-hybrid-numerical-weather-prediction-and-machine-learning-paradigm-for-solar-forecasting-in-the-tropics-2112.04963</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/model-agnostic-hybrid-numerical-weather-prediction-and-machine-learning-paradigm-for-solar-forecasting-in-the-tropics-2112.04963"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/model-agnostic-hybrid-numerical-weather-prediction-and-machine-learning-paradigm-for-solar-forecasting-in-the-tropics-2112.04963"/></url>
<url><loc>https://scifaro.com/en/abs/bringing-atomistic-deep-learning-to-prime-time-2112.04977</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/bringing-atomistic-deep-learning-to-prime-time-2112.04977"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/bringing-atomistic-deep-learning-to-prime-time-2112.04977"/></url>
<url><loc>https://scifaro.com/en/abs/the-peril-of-popular-deep-learning-uncertainty-estimation-methods-2112.05000</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-peril-of-popular-deep-learning-uncertainty-estimation-methods-2112.05000"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-peril-of-popular-deep-learning-uncertainty-estimation-methods-2112.05000"/></url>
<url><loc>https://scifaro.com/en/abs/mutual-adversarial-training-learning-together-is-better-than-going-alone-2112.05005</loc><lastmod>2023-02-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/mutual-adversarial-training-learning-together-is-better-than-going-alone-2112.05005"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/mutual-adversarial-training-learning-together-is-better-than-going-alone-2112.05005"/></url>
<url><loc>https://scifaro.com/en/abs/gradient-matching-coresets-for-continual-learning-2112.05025</loc><lastmod>2021-12-10</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/gradient-matching-coresets-for-continual-learning-2112.05025"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/gradient-matching-coresets-for-continual-learning-2112.05025"/></url>
<url><loc>https://scifaro.com/en/abs/learning-transferable-motor-skills-with-hierarchical-latent-mixture-policies-2112.05062</loc><lastmod>2022-03-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-transferable-motor-skills-with-hierarchical-latent-mixture-policies-2112.05062"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-transferable-motor-skills-with-hierarchical-latent-mixture-policies-2112.05062"/></url>
<url><loc>https://scifaro.com/en/abs/a-novel-tropical-geometry-based-interpretable-machine-learning-method-application-in-prognosis-of-advanced-heart-failure-2112.05071</loc><lastmod>2022-12-06</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-novel-tropical-geometry-based-interpretable-machine-learning-method-application-in-prognosis-of-advanced-heart-failure-2112.05071"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-novel-tropical-geometry-based-interpretable-machine-learning-method-application-in-prognosis-of-advanced-heart-failure-2112.05071"/></url>
<url><loc>https://scifaro.com/en/abs/extending-the-wilds-benchmark-for-unsupervised-adaptation-2112.05090</loc><lastmod>2022-04-26</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/extending-the-wilds-benchmark-for-unsupervised-adaptation-2112.05090"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/extending-the-wilds-benchmark-for-unsupervised-adaptation-2112.05090"/></url>
<url><loc>https://scifaro.com/en/abs/pixmix-dreamlike-pictures-comprehensively-improve-safety-measures-2112.05135</loc><lastmod>2022-03-30</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pixmix-dreamlike-pictures-comprehensively-improve-safety-measures-2112.05135"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pixmix-dreamlike-pictures-comprehensively-improve-safety-measures-2112.05135"/></url>
<url><loc>https://scifaro.com/en/abs/classification-of-anuran-frog-species-using-machine-learning-2112.05148</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/classification-of-anuran-frog-species-using-machine-learning-2112.05148"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/classification-of-anuran-frog-species-using-machine-learning-2112.05148"/></url>
<url><loc>https://scifaro.com/en/abs/context-aware-health-event-prediction-via-transition-functions-on-dynamic-disease-graphs-2112.05195</loc><lastmod>2021-12-17</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/context-aware-health-event-prediction-via-transition-functions-on-dynamic-disease-graphs-2112.05195"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/context-aware-health-event-prediction-via-transition-functions-on-dynamic-disease-graphs-2112.05195"/></url>
<url><loc>https://scifaro.com/en/abs/reinforcement-learning-with-almost-sure-constraints-2112.05198</loc><lastmod>2023-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/reinforcement-learning-with-almost-sure-constraints-2112.05198"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/reinforcement-learning-with-almost-sure-constraints-2112.05198"/></url>
<url><loc>https://scifaro.com/en/abs/the-fundamental-limits-of-interval-arithmetic-for-neural-networks-2112.05235</loc><lastmod>2021-12-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/the-fundamental-limits-of-interval-arithmetic-for-neural-networks-2112.05235"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/the-fundamental-limits-of-interval-arithmetic-for-neural-networks-2112.05235"/></url>
<url><loc>https://scifaro.com/en/abs/on-multivariate-randomized-classification-trees-l-0-based-sparsity-vc-dimension-and-decomposition-methods-2112.05239</loc><lastmod>2021-12-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/on-multivariate-randomized-classification-trees-l-0-based-sparsity-vc-dimension-and-decomposition-methods-2112.05239"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/on-multivariate-randomized-classification-trees-l-0-based-sparsity-vc-dimension-and-decomposition-methods-2112.05239"/></url>
<url><loc>https://scifaro.com/en/abs/an-experimental-design-perspective-on-model-based-reinforcement-learning-2112.05244</loc><lastmod>2022-03-16</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/an-experimental-design-perspective-on-model-based-reinforcement-learning-2112.05244"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/an-experimental-design-perspective-on-model-based-reinforcement-learning-2112.05244"/></url>
<url><loc>https://scifaro.com/en/abs/addressing-deep-learning-model-uncertainty-in-long-range-climate-forecasting-with-late-fusion-2112.05254</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/addressing-deep-learning-model-uncertainty-in-long-range-climate-forecasting-with-late-fusion-2112.05254"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/addressing-deep-learning-model-uncertainty-in-long-range-climate-forecasting-with-late-fusion-2112.05254"/></url>
<url><loc>https://scifaro.com/en/abs/equivariant-quantum-graph-circuits-2112.05261</loc><lastmod>2022-06-15</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/equivariant-quantum-graph-circuits-2112.05261"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/equivariant-quantum-graph-circuits-2112.05261"/></url>
<url><loc>https://scifaro.com/en/abs/ramboattack-a-robust-query-efficient-deep-neural-network-decision-exploit-2112.05282</loc><lastmod>2023-03-27</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/ramboattack-a-robust-query-efficient-deep-neural-network-decision-exploit-2112.05282"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/ramboattack-a-robust-query-efficient-deep-neural-network-decision-exploit-2112.05282"/></url>
<url><loc>https://scifaro.com/en/abs/robustness-certificates-for-implicit-neural-networks-a-mixed-monotone-contractive-approach-2112.05310</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustness-certificates-for-implicit-neural-networks-a-mixed-monotone-contractive-approach-2112.05310"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustness-certificates-for-implicit-neural-networks-a-mixed-monotone-contractive-approach-2112.05310"/></url>
<url><loc>https://scifaro.com/en/abs/building-autocorrelation-aware-representations-for-fine-scale-spatiotemporal-prediction-2112.05313</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/building-autocorrelation-aware-representations-for-fine-scale-spatiotemporal-prediction-2112.05313"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/building-autocorrelation-aware-representations-for-fine-scale-spatiotemporal-prediction-2112.05313"/></url>
<url><loc>https://scifaro.com/en/abs/pmfl-partial-meta-federated-learning-for-heterogeneous-tasks-and-its-applications-on-real-world-medical-records-2112.05321</loc><lastmod>2024-03-12</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pmfl-partial-meta-federated-learning-for-heterogeneous-tasks-and-its-applications-on-real-world-medical-records-2112.05321"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pmfl-partial-meta-federated-learning-for-heterogeneous-tasks-and-its-applications-on-real-world-medical-records-2112.05321"/></url>
<url><loc>https://scifaro.com/en/abs/blockwise-sequential-model-learning-for-partially-observable-reinforcement-learning-2112.05343</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/blockwise-sequential-model-learning-for-partially-observable-reinforcement-learning-2112.05343"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/blockwise-sequential-model-learning-for-partially-observable-reinforcement-learning-2112.05343"/></url>
<url><loc>https://scifaro.com/en/abs/learning-augmented-algorithms-for-online-steiner-tree-2112.05353</loc><lastmod>2023-03-21</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/learning-augmented-algorithms-for-online-steiner-tree-2112.05353"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/learning-augmented-algorithms-for-online-steiner-tree-2112.05353"/></url>
<url><loc>https://scifaro.com/en/abs/lunar-unifying-local-outlier-detection-methods-via-graph-neural-networks-2112.05355</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/lunar-unifying-local-outlier-detection-methods-via-graph-neural-networks-2112.05355"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/lunar-unifying-local-outlier-detection-methods-via-graph-neural-networks-2112.05355"/></url>
<url><loc>https://scifaro.com/en/abs/sketching-as-a-tool-for-understanding-and-accelerating-self-attention-for-long-sequences-2112.05359</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/sketching-as-a-tool-for-understanding-and-accelerating-self-attention-for-long-sequences-2112.05359"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/sketching-as-a-tool-for-understanding-and-accelerating-self-attention-for-long-sequences-2112.05359"/></url>
<url><loc>https://scifaro.com/en/abs/efficient-action-poisoning-attacks-on-linear-contextual-bandits-2112.05367</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/efficient-action-poisoning-attacks-on-linear-contextual-bandits-2112.05367"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/efficient-action-poisoning-attacks-on-linear-contextual-bandits-2112.05367"/></url>
<url><loc>https://scifaro.com/en/abs/layer-parallel-training-of-residual-networks-with-auxiliary-variable-networks-2112.05387</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/layer-parallel-training-of-residual-networks-with-auxiliary-variable-networks-2112.05387"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/layer-parallel-training-of-residual-networks-with-auxiliary-variable-networks-2112.05387"/></url>
<url><loc>https://scifaro.com/en/abs/a-self-supervised-mixed-curvature-graph-neural-network-2112.05393</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-self-supervised-mixed-curvature-graph-neural-network-2112.05393"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-self-supervised-mixed-curvature-graph-neural-network-2112.05393"/></url>
<url><loc>https://scifaro.com/en/abs/batch-label-inference-and-replacement-attacks-in-black-boxed-vertical-federated-learning-2112.05409</loc><lastmod>2022-02-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/batch-label-inference-and-replacement-attacks-in-black-boxed-vertical-federated-learning-2112.05409"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/batch-label-inference-and-replacement-attacks-in-black-boxed-vertical-federated-learning-2112.05409"/></url>
<url><loc>https://scifaro.com/en/abs/robustification-of-online-graph-exploration-methods-2112.05422</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/robustification-of-online-graph-exploration-methods-2112.05422"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/robustification-of-online-graph-exploration-methods-2112.05422"/></url>
<url><loc>https://scifaro.com/en/abs/beyond-parallel-pancakes-quasi-polynomial-time-guarantees-for-non-spherical-gaussian-mixtures-2112.05445</loc><lastmod>2023-06-09</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/beyond-parallel-pancakes-quasi-polynomial-time-guarantees-for-non-spherical-gaussian-mixtures-2112.05445"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/beyond-parallel-pancakes-quasi-polynomial-time-guarantees-for-non-spherical-gaussian-mixtures-2112.05445"/></url>
<url><loc>https://scifaro.com/en/abs/structure-preserving-learning-using-gaussian-processes-and-variational-integrators-2112.05451</loc><lastmod>2022-06-29</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/structure-preserving-learning-using-gaussian-processes-and-variational-integrators-2112.05451"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/structure-preserving-learning-using-gaussian-processes-and-variational-integrators-2112.05451"/></url>
<url><loc>https://scifaro.com/en/abs/surrogate-data-enriched-physics-aware-neural-networks-2112.05489</loc><lastmod>2022-07-01</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/surrogate-data-enriched-physics-aware-neural-networks-2112.05489"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/surrogate-data-enriched-physics-aware-neural-networks-2112.05489"/></url>
<url><loc>https://scifaro.com/en/abs/network-compression-via-central-filter-2112.05493</loc><lastmod>2021-12-14</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/network-compression-via-central-filter-2112.05493"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/network-compression-via-central-filter-2112.05493"/></url>
<url><loc>https://scifaro.com/en/abs/how-private-is-your-rl-policy-an-inverse-rl-based-analysis-framework-2112.05495</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/how-private-is-your-rl-policy-an-inverse-rl-based-analysis-framework-2112.05495"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/how-private-is-your-rl-policy-an-inverse-rl-based-analysis-framework-2112.05495"/></url>
<url><loc>https://scifaro.com/en/abs/a-validation-tool-for-designing-reinforcement-learning-environments-2112.05519</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/a-validation-tool-for-designing-reinforcement-learning-environments-2112.05519"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/a-validation-tool-for-designing-reinforcement-learning-environments-2112.05519"/></url>
<url><loc>https://scifaro.com/en/abs/pacman-pac-style-bounds-accounting-for-the-mismatch-between-accuracy-and-negative-log-loss-2112.05547</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/pacman-pac-style-bounds-accounting-for-the-mismatch-between-accuracy-and-negative-log-loss-2112.05547"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/pacman-pac-style-bounds-accounting-for-the-mismatch-between-accuracy-and-negative-log-loss-2112.05547"/></url>
<url><loc>https://scifaro.com/en/abs/collaborative-learning-over-wireless-networks-an-introductory-overview-2112.05559</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/collaborative-learning-over-wireless-networks-an-introductory-overview-2112.05559"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/collaborative-learning-over-wireless-networks-an-introductory-overview-2112.05559"/></url>
<url><loc>https://scifaro.com/en/abs/faster-single-loop-algorithms-for-minimax-optimization-without-strong-concavity-2112.05604</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/faster-single-loop-algorithms-for-minimax-optimization-without-strong-concavity-2112.05604"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/faster-single-loop-algorithms-for-minimax-optimization-without-strong-concavity-2112.05604"/></url>
<url><loc>https://scifaro.com/en/abs/eigenspace-restructuring-a-principle-of-space-and-frequency-in-neural-networks-2112.05611</loc><lastmod>2021-12-13</lastmod><xhtml:link rel="alternate" hreflang="en" href="https://scifaro.com/en/abs/eigenspace-restructuring-a-principle-of-space-and-frequency-in-neural-networks-2112.05611"/><xhtml:link rel="alternate" hreflang="x-default" href="https://scifaro.com/en/abs/eigenspace-restructuring-a-principle-of-space-and-frequency-in-neural-networks-2112.05611"/></url>
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